Index: TXM/trunk/bundles/org.txm.statsengine.r.core.macosx/res/macosx/library/bslib/lib/bs3/LICENSE
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.macosx/res/macosx/library/bslib/lib/bs3/LICENSE	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.macosx/res/macosx/library/bslib/lib/bs3/LICENSE	(revision 3761)
@@ -0,0 +1,22 @@
+The MIT License (MIT)
+
+Copyright (c) 2011-2016 Twitter, Inc
+Copyright (c) 2011-2016 The Bootstrap Authors
+
+Permission is hereby granted, free of charge, to any person obtaining a copy
+of this software and associated documentation files (the "Software"), to deal
+in the Software without restriction, including without limitation the rights
+to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
+copies of the Software, and to permit persons to whom the Software is
+furnished to do so, subject to the following conditions:
+
+The above copyright notice and this permission notice shall be included in
+all copies or substantial portions of the Software.
+
+THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN
+THE SOFTWARE.
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.macosx/res/macosx/library/bslib/lib/bs3/assets/stylesheets/_bootstrap.scss
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.macosx/res/macosx/library/bslib/lib/bs3/assets/stylesheets/_bootstrap.scss	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.macosx/res/macosx/library/bslib/lib/bs3/assets/stylesheets/_bootstrap.scss	(revision 3761)
@@ -0,0 +1,56 @@
+/*!
+ * Bootstrap v3.4.1 (https://getbootstrap.com/)
+ * Copyright 2011-2019 Twitter, Inc.
+ * Licensed under MIT (https://github.com/twbs/bootstrap/blob/master/LICENSE)
+ */
+
+// Core variables and mixins
+@import "bootstrap/variables";
+@import "bootstrap/mixins";
+
+// Reset and dependencies
+@import "bootstrap/normalize";
+@import "bootstrap/print";
+@import "bootstrap/glyphicons";
+
+// Core CSS
+@import "bootstrap/scaffolding";
+@import "bootstrap/type";
+@import "bootstrap/code";
+@import "bootstrap/grid";
+@import "bootstrap/tables";
+@import "bootstrap/forms";
+@import "bootstrap/buttons";
+
+// Components
+@import "bootstrap/component-animations";
+@import "bootstrap/dropdowns";
+@import "bootstrap/button-groups";
+@import "bootstrap/input-groups";
+@import "bootstrap/navs";
+@import "bootstrap/navbar";
+@import "bootstrap/breadcrumbs";
+@import "bootstrap/pagination";
+@import "bootstrap/pager";
+@import "bootstrap/labels";
+@import "bootstrap/badges";
+@import "bootstrap/jumbotron";
+@import "bootstrap/thumbnails";
+@import "bootstrap/alerts";
+@import "bootstrap/progress-bars";
+@import "bootstrap/media";
+@import "bootstrap/list-group";
+@import "bootstrap/panels";
+@import "bootstrap/responsive-embed";
+@import "bootstrap/wells";
+@import "bootstrap/close";
+
+// Components w/ JavaScript
+@import "bootstrap/modals";
+@import "bootstrap/tooltip";
+@import "bootstrap/popovers";
+@import "bootstrap/carousel";
+
+// Utility classes
+@import "bootstrap/utilities";
+@import "bootstrap/responsive-utilities";
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.macosx/res/macosx/library/bslib/lib/bs3/assets/stylesheets/_bootstrap-compass.scss
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.macosx/res/macosx/library/bslib/lib/bs3/assets/stylesheets/_bootstrap-compass.scss	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.macosx/res/macosx/library/bslib/lib/bs3/assets/stylesheets/_bootstrap-compass.scss	(revision 3761)
@@ -0,0 +1,9 @@
+@function twbs-font-path($path) {
+  @return font-url($path, true);
+}
+
+@function twbs-image-path($path) {
+  @return image-url($path, true);
+}
+
+$bootstrap-sass-asset-helper: true;
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.macosx/res/macosx/library/bslib/lib/bs3/assets/stylesheets/_bootstrap-mincer.scss
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.macosx/res/macosx/library/bslib/lib/bs3/assets/stylesheets/_bootstrap-mincer.scss	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.macosx/res/macosx/library/bslib/lib/bs3/assets/stylesheets/_bootstrap-mincer.scss	(revision 3761)
@@ -0,0 +1,19 @@
+// Mincer asset helper functions
+//
+// This must be imported into a .css.ejs.scss file.
+// Then, <% %>-interpolations will be parsed as strings by Sass, and evaluated by EJS after Sass compilation.
+
+
+@function twbs-font-path($path) {
+  // do something like following
+  // from "path/to/font.ext#suffix" to "<%- asset_path(path/to/font.ext)) + #suffix %>"
+  // from "path/to/font.ext?#suffix" to "<%- asset_path(path/to/font.ext)) + ?#suffix %>"
+  // or from "path/to/font.ext" just "<%- asset_path(path/to/font.ext)) %>"
+  @return "<%- asset_path("#{$path}".replace(/[#?].*$/, '')) + "#{$path}".replace(/(^[^#?]*)([#?]?.*$)/, '$2') %>";
+}
+
+@function twbs-image-path($file) {
+  @return "<%- asset_path("#{$file}") %>";
+}
+
+$bootstrap-sass-asset-helper: true;
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.macosx/res/macosx/library/bslib/lib/bs3/assets/stylesheets/_bootstrap-sprockets.scss
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.macosx/res/macosx/library/bslib/lib/bs3/assets/stylesheets/_bootstrap-sprockets.scss	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.macosx/res/macosx/library/bslib/lib/bs3/assets/stylesheets/_bootstrap-sprockets.scss	(revision 3761)
@@ -0,0 +1,9 @@
+@function twbs-font-path($path) {
+  @return font-path($path);
+}
+
+@function twbs-image-path($path) {
+  @return image-path($path);
+}
+
+$bootstrap-sass-asset-helper: true;
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.macosx/res/macosx/library/bslib/lib/bs3/package.json
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.macosx/res/macosx/library/bslib/lib/bs3/package.json	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.macosx/res/macosx/library/bslib/lib/bs3/package.json	(revision 3761)
@@ -0,0 +1,23 @@
+{
+  "name": "bootstrap-sass",
+  "version": "3.4.1",
+  "description": "bootstrap-sass is a Sass-powered version of Bootstrap 3, ready to drop right into your Sass powered applications.",
+  "main": "assets/javascripts/bootstrap.js",
+  "style": "assets/stylesheets/_bootstrap.scss",
+  "sass": "assets/stylesheets/_bootstrap.scss",
+  "files": ["assets", "eyeglass-exports.js", "CHANGELOG.md", "LICENSE", "README.md"],
+  "repository": {
+    "type": "git",
+    "url": "git://github.com/twbs/bootstrap-sass"
+  },
+  "keywords": ["bootstrap", "sass", "css", "eyeglass-module"],
+  "contributors": ["Thomas McDonald", "Tristan Harward", "Peter Gumeson", "Gleb Mazovetskiy"],
+  "license": "MIT",
+  "bugs": {
+    "url": "https://github.com/twbs/bootstrap-sass/issues"
+  },
+  "eyeglass": {
+    "exports": "eyeglass-exports.js",
+    "needs": "^0.7.1"
+  }
+}
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.macosx/res/macosx/library/bslib/lib/bs3/CHANGELOG.md
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.macosx/res/macosx/library/bslib/lib/bs3/CHANGELOG.md	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.macosx/res/macosx/library/bslib/lib/bs3/CHANGELOG.md	(revision 3761)
@@ -0,0 +1,215 @@
+# Changelog
+
+## 3.4.0
+
+* Bootstrap rubygem now depends on SassC instead of Sass.
+* Compass no longer supported.
+
+## 3.3.7
+
+* Allows jQuery 3.x in bower.json. [#1048](https://github.com/twbs/bootstrap-sass/issues/1048)
+* Adds the `style` and `sass` fields to package.json. [#1045](https://github.com/twbs/bootstrap-sass/issues/1045)
+* Adds Eyeglass support. [#1007](https://github.com/twbs/bootstrap-sass/pull/1007)
+
+## 3.3.6
+
+* Bumps Sass dependency to 3.3.4+ to avoid compatibility issues with @at-root.
+* Bumps node-sass dependency to ~3.4.2 for Node.js v5 compatibility. [#986](https://github.com/twbs/bootstrap-sass/issues/986)
+* Fixes breadcrumb content issues on libsass. [#919](https://github.com/twbs/bootstrap-sass/issues/919)
+* Fixes a Rails 5 compatibility issue. [#965](https://github.com/twbs/bootstrap-sass/pull/965)
+
+Framework version: Bootstrap **v3.3.6**
+
+## 3.3.5
+
+Fix for standalone Compass extension compatibility. [#914](https://github.com/twbs/bootstrap-sass/issues/914)
+
+Framework version: Bootstrap **v3.3.5**
+
+## 3.3.4
+
+No Sass-specific changes.
+
+Framework version: Bootstrap **v3.3.4**
+
+## 3.3.3
+
+This is a re-packaged release of 3.3.2.1 (v3.3.2+1).
+
+Versions are now strictly semver.
+The PATCH version may be ahead of the upstream.
+
+Framework version: Bootstrap **v3.3.2**.
+
+## 3.3.2.1
+
+* Fix glyphicons regression (revert 443d5b49eac84aec1cb2f8ea173554327bfc8c14)
+
+## 3.3.2.0
+
+* Autoprefixer is now required, and `autoprefixer-rails` is now a dependency for the ruby gem. [#824](https://github.com/twbs/bootstrap-sass/issues/824)
+* Minimum precision reduced from 10 to 8 [#821](https://github.com/twbs/bootstrap-sass/issues/821)
+* Requiring bootstrap JS from npm now works [#812](https://github.com/twbs/bootstrap-sass/issues/812)
+* Fix Sass 3.4.x + IE10 compatibility issue [#803](https://github.com/twbs/bootstrap-sass/issues/803)
+* Provide minified JS bundle [#777](https://github.com/twbs/bootstrap-sass/issues/777)
+* Bower package is now at bootstrap-sass [#813](https://github.com/twbs/bootstrap-sass/issues/813)
+
+
+## 3.3.1.0
+
+* Variables override template at templates/project/_bootstrap-variables.sass
+* Readme: Bower + Rails configuration
+
+## 3.3.0.1
+
+* Fix loading issue with the ruby gem version
+
+## 3.3.0
+
+* Improve libsass compatibility
+* Support using Bower package with Rails
+
+## 3.2.0.2
+
+Main bootstrap file is now a partial (_bootstrap.scss), for compatibility with Compass 1+.
+
+Fixed a number of bugs. [Issues closed in v3.2.0.2](https://github.com/twbs/bootstrap-sass/issues?q=is%3Aissue+is%3Aclosed+milestone%3Av3.2.0.2).
+
+## 3.2.0.1
+
+Fixed a number of bugs: [Issues closed in v3.2.0.1](https://github.com/twbs/bootstrap-sass/issues?q=is%3Aissue+is%3Aclosed+milestone%3Av3.2.0.1).
+
+## 3.2.0.0
+
+- Assets (Sass, JS, fonts) moved from `vendor/assets` to `assets`. `bootstrap.js` now contains concatenated JS.
+- Compass generator now copies JS and fonts, and provides a better default `styles.sass`.
+- Compass, Sprockets, and Mincer asset path helpers are now provided in pure Sass: `bootstrap-compass`, `bootstrap-sprockets`, and `bootstrap-mincer`.
+Asset path helpers must be imported before `bootstrap`, more in Readme.
+- Sprockets / Mincer JS manifest has been moved to `bootstrap-sprockets.js`.
+It can be required without adding Bootstrap JS directory to load path, as it now uses relative paths.
+- Sprockets: `depend_on_asset` (`glyphicons.scss`) has been changed to `depend_on` to work around an issue with `depend_on_asset`.
+[More information](https://github.com/twbs/bootstrap-sass/issues/592#issuecomment-46570286).
+
+## 3.1.1.0
+
+- Updated Bower docs
+
+## 3.1.0.2
+
+- #523: Rails 3.2 compatibility
+- Bugfixes from upstream up to 7eb532262fbd1112215b5a547b9285794b5360ab.
+
+## 3.1.0.1
+
+- #518: `scale` mixin Sass compatibility issue
+
+## 3.1.0.0
+
+* compiles with libsass master
+
+## 3.0.2.1
+
+* fix vendor paths for compass
+
+## 3.0.0.0
+
+* Fully automated (lots of string juggling) LESS -> Sass conversion. - *Gleb Mazovetskiy*
+* Ported rake task from vwall/compass-twitter-bootstrap to convert Bootstrap upstream - *Peter Gumeson*
+* Moved javascripts to us `bootstrap-component.js` to `bootstrap/component.js` - *Peter Gumeson*
+
+## 2.3.2.2
+
+* Allow sass-rails `>= 3.2` - *Thomas McDonald*
+
+## 2.3.2.1
+
+## 2.3.2.0
+
+* Update to Bootstrap 2.3.2 - *Dan Allen*
+
+## 2.3.1.3
+
+* Find the correct Sprockets context for the `image_path` function - *Tristan Harward, Gleb Mazovetskiy*
+
+## 2.3.1.2
+
+* Fix changes to image url - *Gleb Mazovetskiy*
+* Copy _variables into project on Compass install - *Phil Thompson*
+* Add `bootstrap-affix` to the Compass template file - *brief*
+
+## 2.3.1.1 (yanked)
+
+* Change how image_url is handled internally - *Tristan Harward*
+* Fix some font variables not having `!default` - *Thomas McDonald*
+
+## 2.3.0.0
+* [#290] Update to Bootstrap 2.3.0 - *Tristan Harward*
+* Fix `rake:debug` with new file locations - *Thomas McDonald*
+* Add draft contributing document - *Thomas McDonald*
+* [#260] Add our load path to the global Sass load path - *Tristan Harward*
+* [#275] Use GitHub notation in Sass head testing gemfile - *Timo Schilling*
+* [#279, #283] Readme improvements - *theverything, Philip Arndt*
+
+## 2.2.2.0
+* [#270] Update to Bootstrap 2.2.2 - *Tristan Harward*
+* [#266] Add license to gemspec - *Peter Marsh*
+
+## 2.2.1.1
+* [#258] Use `bootstrap` prefix for `@import`ing files in `bootstrap/bootstrap.scss` - *Umair Siddique*
+
+## 2.2.1.0
+* [#246] Update to Bootstrap 2.2.1 - *Tristan Harward*
+* [#246] Pull Bootstrap updates from jlong/sass-twitter-bootstrap - *Tristan Harward*
+
+## 2.1.1.0
+* Update to Bootstrap 2.1.1
+* [#222] Remove 100% multiplier in vertical-three-colours
+* [#227] Fix IE component animation collapse
+* [#228] Fix variables documentation link
+* [#231] Made .input-block-level a class as well as mixin
+
+## 2.1.0.1
+* [#219] Fix expected a color. Got: transparent.
+* [#207] Add missing warning style for table row highlighting
+* [#208] Use grid-input-span for input spans
+
+## 2.1.0.0
+* Updated to Bootstrap 2.1
+* Changed some mixin names to be more consistent. Nested mixins in Less are separated by a `-` when they are flattened in Sass.
+
+## 2.0.4.1
+* Fix `.row-fluid > spanX` nesting
+* Small Javascript fixes for those staying on the 2.0.4 release
+* Add `!default` to z-index variables.
+
+## 2.0.4.0
+* Updated to Bootstrap 2.0.4
+* Switched to Bootstrap 2.0.3+'s method of separating responsive files
+* [#149, #150] Fix off by one error introduced with manual revert of media query breakpoints
+* `rake debug` and `rake test` both compile bootstrap & bootstrap-responsive
+
+## 2.0.3.1
+* [#145, #146] Fix button alignment in collapsing navbar as a result of an incorrect variable
+
+## 2.0.3
+* Updated to Bootstrap 2.0.3
+* [#106] Support for Rails < 3.1 through Compass
+* [#132] Add CI testing
+* [#106] Support Rails w/Compass
+* [#134] Fix support for Rails w/Compass
+
+## 2.0.2
+* [#86] Updated to Bootstrap 2.0.2
+Things of note: static navbars now have full width. (to be fixed in 2.0.3) `.navbar-inner > .container { width:940px; }` seems to work in the meanwhile
+* [#62] Fixed asset compilation taking a *very* long time.
+* [#69, #79, #80] \(Hopefully) clarified README. Now with less cat humour.
+* [#91] Removed doubled up Sass extensions for Rails.
+* [#63, #73] Allow for overriding of image-path
+* [[SO](http://stackoverflow.com/a/9909626/241212)] Added makeFluidColumn mixin for defining fluid columns. Fluid rows must use `@extend .row-fluid`, and any column inside it can use `@include makeFluidColumn(num)`, where `num` is the number of columns. Unfortunately, there is a rather major limitation to this: margins on first-child elements must be overriden. See the attached Stack Overflow answer for more information.
+
+## 2.0.1
+* Updated to Bootstrap 2.0.1
+* Modified `@mixin opacity()` to take an argument `0...1` rather than `0...100` to be consistent with Compass.
+
+## 2.0.0
+* Updated to Bootstrap 2.0.0
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.macosx/res/macosx/library/bslib/lib/bs3/eyeglass-exports.js
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.macosx/res/macosx/library/bslib/lib/bs3/eyeglass-exports.js	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.macosx/res/macosx/library/bslib/lib/bs3/eyeglass-exports.js	(revision 3761)
@@ -0,0 +1,7 @@
+var path = require('path');
+
+module.exports = function(eyeglass, sass) {
+  return {
+    sassDir: path.join(__dirname, 'assets/stylesheets')
+  }
+};
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.macosx/res/macosx/library/bslib/lib/bs3/README.md
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.macosx/res/macosx/library/bslib/lib/bs3/README.md	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.macosx/res/macosx/library/bslib/lib/bs3/README.md	(revision 3761)
@@ -0,0 +1,358 @@
+# Bootstrap 3 for Sass
+[![Gem Version](https://badge.fury.io/rb/bootstrap-sass.svg)](http://badge.fury.io/rb/bootstrap-sass)
+[![npm version](https://img.shields.io/npm/v/bootstrap-sass.svg?style=flat)](https://www.npmjs.com/package/bootstrap-sass)
+[![Bower Version](https://badge.fury.io/bo/bootstrap-sass.svg)](http://badge.fury.io/bo/bootstrap-sass)
+[![Build Status](https://img.shields.io/travis/twbs/bootstrap-sass.svg)](https://travis-ci.org/twbs/bootstrap-sass)
+
+`bootstrap-sass` is a Sass-powered version of [Bootstrap](https://github.com/twbs/bootstrap) 3, ready to drop right into your Sass powered applications.
+
+This is Bootstrap **3**. For Bootstrap **4** use the [Bootstrap rubygem](https://github.com/twbs/bootstrap-rubygem) if you use Ruby, and the [main repo](https://github.com/twbs/bootstrap) otherwise.
+
+## Installation
+
+Please see the appropriate guide for your environment of choice:
+
+* [Ruby on Rails](#a-ruby-on-rails).
+* [Bower](#b-bower).
+* [npm / Node.js](#c-npm--nodejs).
+
+### a. Ruby on Rails
+
+`bootstrap-sass` is easy to drop into Rails with the asset pipeline.
+
+In your Gemfile you need to add the `bootstrap-sass` gem, and ensure that the `sass-rails` gem is present - it is added to new Rails applications by default.
+
+```ruby
+gem 'bootstrap-sass', '~> 3.4.1'
+gem 'sassc-rails', '>= 2.1.0'
+```
+
+`bundle install` and restart your server to make the files available through the pipeline.
+
+Import Bootstrap styles in `app/assets/stylesheets/application.scss`:
+
+```scss
+// "bootstrap-sprockets" must be imported before "bootstrap" and "bootstrap/variables"
+@import "bootstrap-sprockets";
+@import "bootstrap";
+```
+
+`bootstrap-sprockets` must be imported before `bootstrap` for the icon fonts to work.
+
+Make sure the file has `.scss` extension (or `.sass` for Sass syntax). If you have just generated a new Rails app,
+it may come with a `.css` file instead. If this file exists, it will be served instead of Sass, so rename it:
+
+```console
+$ mv app/assets/stylesheets/application.css app/assets/stylesheets/application.scss
+```
+
+Then, remove all the `*= require_self` and `*= require_tree .` statements from the sass file. Instead, use `@import` to import Sass files.
+
+Do not use `*= require` in Sass or your other stylesheets will not be [able to access][antirequire] the Bootstrap mixins or variables.
+
+Bootstrap JavaScript depends on jQuery.
+If you're using Rails 5.1+, add the `jquery-rails` gem to your Gemfile:
+
+```ruby
+gem 'jquery-rails'
+```
+
+```console
+$ bundle install
+```
+
+Require Bootstrap Javascripts in `app/assets/javascripts/application.js`:
+
+```js
+//= require jquery
+//= require bootstrap-sprockets
+```
+
+`bootstrap-sprockets` and `bootstrap` [should not both be included](https://github.com/twbs/bootstrap-sass/issues/829#issuecomment-75153827) in `application.js`.
+
+`bootstrap-sprockets` provides individual Bootstrap Javascript files (`alert.js` or `dropdown.js`, for example), while
+`bootstrap` provides a concatenated file containing all Bootstrap Javascripts.
+
+#### Bower with Rails
+
+When using [bootstrap-sass Bower package](#c-bower) instead of the gem in Rails, configure assets in `config/application.rb`:
+
+```ruby
+# Bower asset paths
+root.join('vendor', 'assets', 'bower_components').to_s.tap do |bower_path|
+  config.sass.load_paths << bower_path
+  config.assets.paths << bower_path
+end
+# Precompile Bootstrap fonts
+config.assets.precompile << %r(bootstrap-sass/assets/fonts/bootstrap/[\w-]+\.(?:eot|svg|ttf|woff2?)$)
+# Minimum Sass number precision required by bootstrap-sass
+::Sass::Script::Value::Number.precision = [8, ::Sass::Script::Value::Number.precision].max
+```
+
+Replace Bootstrap `@import` statements in `application.scss` with:
+
+```scss
+$icon-font-path: "bootstrap-sass/assets/fonts/bootstrap/";
+@import "bootstrap-sass/assets/stylesheets/bootstrap-sprockets";
+@import "bootstrap-sass/assets/stylesheets/bootstrap";
+```
+
+Replace Bootstrap `require` directive in `application.js` with:
+
+```js
+//= require bootstrap-sass/assets/javascripts/bootstrap-sprockets
+```
+
+#### Rails 4.x
+
+Please make sure `sprockets-rails` is at least v2.1.4.
+
+#### Rails 3.2.x
+
+bootstrap-sass is no longer compatible with Rails 3. The latest version of bootstrap-sass compatible with Rails 3.2 is v3.1.1.0.
+
+### b. Bower
+
+bootstrap-sass Bower package is compatible with node-sass 3.2.0+. You can install it with:
+
+```console
+$ bower install bootstrap-sass
+```
+
+Sass, JS, and all other assets are located at [assets](/assets).
+
+By default, `bower.json` main field list only the main `_bootstrap.scss` and all the static assets (fonts and JS).
+This is compatible by default with asset managers such as [wiredep](https://github.com/taptapship/wiredep).
+
+#### Node.js Mincer
+
+If you use [mincer][mincer] with node-sass, import Bootstrap like so:
+
+In `application.css.ejs.scss` (NB **.css.ejs.scss**):
+
+```scss
+// Import mincer asset paths helper integration
+@import "bootstrap-mincer";
+@import "bootstrap";
+```
+
+In `application.js`:
+
+```js
+//= require bootstrap-sprockets
+```
+
+See also this [example manifest.js](/test/dummy_node_mincer/manifest.js) for mincer.
+
+### c. npm / Node.js
+```console
+$ npm install bootstrap-sass
+```
+
+
+## Configuration
+
+### Sass
+
+By default all of Bootstrap is imported.
+
+You can also import components explicitly. To start with a full list of modules copy
+[`_bootstrap.scss`](assets/stylesheets/_bootstrap.scss) file into your assets as `_bootstrap-custom.scss`.
+Then comment out components you do not want from `_bootstrap-custom`.
+In the application Sass file, replace `@import 'bootstrap'` with:
+
+```scss
+@import 'bootstrap-custom';
+```
+
+### Sass: Number Precision
+
+bootstrap-sass [requires](https://github.com/twbs/bootstrap-sass/issues/409) minimum [Sass number precision][sass-precision] of 8 (default is 5).
+
+Precision is set for Ruby automatically when using the `sassc-rails` gem.
+When using the npm or Bower version with Ruby, you can set it with:
+
+```ruby
+::Sass::Script::Value::Number.precision = [8, ::Sass::Script::Value::Number.precision].max
+```
+
+### Sass: Autoprefixer
+
+Bootstrap requires the use of [Autoprefixer][autoprefixer].
+[Autoprefixer][autoprefixer] adds vendor prefixes to CSS rules using values from [Can I Use](https://caniuse.com/).
+
+To match [upstream Bootstrap's level of browser compatibility](https://getbootstrap.com/getting-started/#support), set Autoprefixer's `browsers` option to:
+```json
+[
+  "Android 2.3",
+  "Android >= 4",
+  "Chrome >= 20",
+  "Firefox >= 24",
+  "Explorer >= 8",
+  "iOS >= 6",
+  "Opera >= 12",
+  "Safari >= 6"
+]
+```
+
+### JavaScript
+
+[`assets/javascripts/bootstrap.js`](/assets/javascripts/bootstrap.js) contains all of Bootstrap's JavaScript,
+concatenated in the [correct order](/assets/javascripts/bootstrap-sprockets.js).
+
+
+#### JavaScript with Sprockets or Mincer
+
+If you use Sprockets or Mincer, you can require `bootstrap-sprockets` instead to load the individual modules:
+
+```js
+// Load all Bootstrap JavaScript
+//= require bootstrap-sprockets
+```
+
+You can also load individual modules, provided you also require any dependencies.
+You can check dependencies in the [Bootstrap JS documentation][jsdocs].
+
+```js
+//= require bootstrap/scrollspy
+//= require bootstrap/modal
+//= require bootstrap/dropdown
+```
+
+### Fonts
+
+The fonts are referenced as:
+
+```scss
+"#{$icon-font-path}#{$icon-font-name}.eot"
+```
+
+`$icon-font-path` defaults to `bootstrap/` if asset path helpers are used, and `../fonts/bootstrap/` otherwise.
+
+When using bootstrap-sass with Compass, Sprockets, or Mincer, you **must** import the relevant path helpers before Bootstrap itself, for example:
+
+```scss
+@import "bootstrap-compass";
+@import "bootstrap";
+```
+
+## Usage
+
+### Sass
+
+Import Bootstrap into a Sass file (for example, `application.scss`) to get all of Bootstrap's styles, mixins and variables!
+
+```scss
+@import "bootstrap";
+```
+
+You can also include optional Bootstrap theme:
+
+```scss
+@import "bootstrap/theme";
+```
+
+The full list of Bootstrap variables can be found [here](https://getbootstrap.com/customize/#less-variables). You can override these by simply redefining the variable before the `@import` directive, e.g.:
+
+```scss
+$navbar-default-bg: #312312;
+$light-orange: #ff8c00;
+$navbar-default-color: $light-orange;
+
+@import "bootstrap";
+```
+
+### Eyeglass
+
+Bootstrap is available as an [Eyeglass](https://github.com/sass-eyeglass/eyeglass) module. After installing Bootstrap via NPM you can import the Bootstrap library via:
+
+```scss
+@import "bootstrap-sass/bootstrap"
+```
+
+or import only the parts of Bootstrap you need:
+
+```scss
+@import "bootstrap-sass/bootstrap/variables";
+@import "bootstrap-sass/bootstrap/mixins";
+@import "bootstrap-sass/bootstrap/carousel";
+```
+
+## Version
+
+Bootstrap for Sass version may differ from the upstream version in the last number, known as
+[PATCH](https://semver.org/spec/v2.0.0.html). The patch version may be ahead of the corresponding upstream minor.
+This happens when we need to release Sass-specific changes.
+
+Before v3.3.2, Bootstrap for Sass version used to reflect the upstream version, with an additional number for
+Sass-specific changes. This was changed due to Bower and npm compatibility issues.
+
+The upstream versions vs the Bootstrap for Sass versions are:
+
+| Upstream |    Sass |
+|---------:|--------:|
+|    3.3.4+ |   same |
+|    3.3.2 |   3.3.3 |
+| <= 3.3.1 | 3.3.1.x |
+
+Always refer to [CHANGELOG.md](/CHANGELOG.md) when upgrading.
+
+---
+
+## Development and Contributing
+
+If you'd like to help with the development of bootstrap-sass itself, read this section.
+
+### Upstream Converter
+
+Keeping bootstrap-sass in sync with upstream changes from Bootstrap used to be an error prone and time consuming manual process. With Bootstrap 3 we have introduced a converter that automates this.
+
+**Note: if you're just looking to *use* Bootstrap 3, see the [installation](#installation) section above.**
+
+Upstream changes to the Bootstrap project can now be pulled in using the `convert` rake task.
+
+Here's an example run that would pull down the master branch from the main [twbs/bootstrap](https://github.com/twbs/bootstrap) repo:
+
+    rake convert
+
+This will convert the latest LESS to Sass and update to the latest JS.
+To convert a specific branch or version, pass the branch name or the commit hash as the first task argument:
+
+    rake convert[e8a1df5f060bf7e6631554648e0abde150aedbe4]
+
+The latest converter script is located [here][converter] and does the following:
+
+* Converts upstream Bootstrap LESS files to its matching SCSS file.
+* Copies all upstream JavaScript into `assets/javascripts/bootstrap`, a Sprockets manifest at `assets/javascripts/bootstrap-sprockets.js`, and a concatenation at `assets/javascripts/bootstrap.js`.
+* Copies all upstream font files into `assets/fonts/bootstrap`.
+* Sets `Bootstrap::BOOTSTRAP_SHA` in [version.rb][version] to the branch sha.
+
+This converter fully converts original LESS to SCSS. Conversion is automatic but requires instructions for certain transformations (see converter output).
+Please submit GitHub issues tagged with `conversion`.
+
+## Credits
+
+bootstrap-sass has a number of major contributors:
+
+<!-- feel free to make these link wherever you wish -->
+* [Thomas McDonald](https://twitter.com/thomasmcdonald_)
+* [Tristan Harward](http://www.trisweb.com)
+* Peter Gumeson
+* [Gleb Mazovetskiy](https://github.com/glebm)
+
+and a [significant number of other contributors][contrib].
+
+## You're in good company
+bootstrap-sass is used to build some awesome projects all over the web, including
+[Diaspora](https://diasporafoundation.org/), [rails_admin](https://github.com/sferik/rails_admin),
+Michael Hartl's [Rails Tutorial](https://www.railstutorial.org/), [gitlabhq](http://gitlabhq.com/) and
+[kandan](http://getkandan.com/).
+
+[converter]: https://github.com/twbs/bootstrap-sass/blob/master/tasks/converter/less_conversion.rb
+[version]: https://github.com/twbs/bootstrap-sass/blob/master/lib/bootstrap-sass/version.rb
+[contrib]: https://github.com/twbs/bootstrap-sass/graphs/contributors
+[antirequire]: https://github.com/twbs/bootstrap-sass/issues/79#issuecomment-4428595
+[jsdocs]: https://getbootstrap.com/javascript/#transitions
+[sass-precision]: http://sass-lang.com/documentation/Sass/Script/Value/Number.html#precision%3D-class_method
+[mincer]: https://github.com/nodeca/mincer
+[autoprefixer]: https://github.com/postcss/autoprefixer
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.macosx/res/macosx/library/bslib/lib/bs-a11y-p/plugins/js/bootstrap-accessibility.js
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.macosx/res/macosx/library/bslib/lib/bs-a11y-p/plugins/js/bootstrap-accessibility.js	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.macosx/res/macosx/library/bslib/lib/bs-a11y-p/plugins/js/bootstrap-accessibility.js	(revision 3761)
@@ -0,0 +1,723 @@
+/* ========================================================================
+* Extends Bootstrap v3.1.1
+
+* Copyright (c) <2015> PayPal
+
+* All rights reserved.
+
+* Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met:
+
+* Redistributions of source code must retain the above copyright notice, this list of conditions and the following disclaimer.
+
+* Redistributions in binary form must reproduce the above copyright notice, this list of conditions and the following disclaimer in the documentation and/or other materials provided with the distribution.
+
+* Neither the name of PayPal or any of its subsidiaries or affiliates nor the names of its contributors may be used to endorse or promote products derived from this software without specific prior written permission.
+
+* THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
+
+* ======================================================================== */
+
+
+ $(function() {
+  "use strict";
+
+  // GENERAL UTILITY FUNCTIONS
+  // ===============================
+
+  var uniqueId = function(prefix) {
+      return (prefix || 'ui-id') + '-' + Math.floor((Math.random()*1000)+1)
+  }
+
+
+  var removeMultiValAttributes = function (el, attr, val) {
+   var describedby = (el.attr( attr ) || "").split( /\s+/ )
+      , index = $.inArray(val, describedby)
+   if ( index !== -1 ) {
+     describedby.splice( index, 1 )
+   }
+   describedby = $.trim( describedby.join( " " ) )
+   if (describedby ) {
+     el.attr( attr, describedby )
+   } else {
+    el.removeAttr( attr )
+   }
+  }
+
+// selectors  Courtesy: https://github.com/jquery/jquery-ui/blob/master/ui/focusable.js and tabbable.js
+/*
+Copyright jQuery Foundation and other contributors, https://jquery.org/
+
+This software consists of voluntary contributions made by many
+individuals. For exact contribution history, see the revision history
+available at https://github.com/jquery/jquery-ui
+
+The following license applies to all parts of this software except as
+documented below:
+
+====
+
+Permission is hereby granted, free of charge, to any person obtaining
+a copy of this software and associated documentation files (the
+"Software"), to deal in the Software without restriction, including
+without limitation the rights to use, copy, modify, merge, publish,
+distribute, sublicense, and/or sell copies of the Software, and to
+permit persons to whom the Software is furnished to do so, subject to
+the following conditions:
+
+The above copyright notice and this permission notice shall be
+included in all copies or substantial portions of the Software.
+
+THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND,
+EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF
+MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND
+NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE
+LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION
+OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION
+WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
+
+====
+
+Copyright and related rights for sample code are waived via CC0. Sample
+code is defined as all source code contained within the demos directory.
+
+CC0: http://creativecommons.org/publicdomain/zero/1.0/
+
+====
+*/
+
+  var focusable = function ( element, isTabIndexNotNaN ) {
+    var map, mapName, img,
+    nodeName = element.nodeName.toLowerCase();
+    if ( "area" === nodeName ) {
+    map = element.parentNode;
+    mapName = map.name;
+    if ( !element.href || !mapName || map.nodeName.toLowerCase() !== "map" ) {
+    return false;
+    }
+    img = $( "img[usemap='#" + mapName + "']" )[ 0 ];
+    return !!img && visible( img );
+    }
+    return ( /input|select|textarea|button|object/.test( nodeName ) ?
+    !element.disabled :
+    "a" === nodeName ?
+    element.href || isTabIndexNotNaN :isTabIndexNotNaN) && visible( element ); // the element and all of its ancestors must be visible
+  }
+  var visible = function ( element ) {
+    return $.expr.filters.visible( element ) &&
+      !$( element ).parents().addBack().filter(function() {
+        return $.css( this, "visibility" ) === "hidden";
+      }).length;
+  }
+
+  $.extend( $.expr[ ":" ], {
+    data: $.expr.createPseudo ?
+      $.expr.createPseudo(function( dataName ) {
+        return function( elem ) {
+          return !!$.data( elem, dataName );
+        };
+      }) :
+      // support: jQuery <1.8
+      function( elem, i, match ) {
+        return !!$.data( elem, match[ 3 ] );
+      },
+
+    focusable: function( element ) {
+      return focusable( element, !isNaN( $.attr( element, "tabindex" ) ) );
+    },
+
+    tabbable: function( element ) {
+      var tabIndex = $.attr( element, "tabindex" ),
+        isTabIndexNaN = isNaN( tabIndex );
+      return ( isTabIndexNaN || tabIndex >= 0 ) && focusable( element, !isTabIndexNaN );
+    }
+  });
+
+  // Modal Extension
+  // ===============================
+
+  $('.modal-dialog').attr( {'role' : 'document'})
+    var modalhide =   $.fn.modal.Constructor.prototype.hide
+    $.fn.modal.Constructor.prototype.hide = function(){
+       modalhide.apply(this, arguments)
+       $(document).off('keydown.bs.modal')
+    }
+
+    var modalfocus =   $.fn.modal.Constructor.prototype.enforceFocus
+    $.fn.modal.Constructor.prototype.enforceFocus = function(){
+      var $content = this.$element.find(".modal-content")
+      var focEls = $content.find(":tabbable")
+      , $lastEl = $(focEls[focEls.length-1])
+      , $firstEl = $(focEls[0])
+      $lastEl.on('keydown.bs.modal', $.proxy(function (ev) {
+        if(ev.keyCode === 9 && !(ev.shiftKey | ev.ctrlKey | ev.metaKey | ev.altKey)) { // TAB pressed
+          ev.preventDefault();
+          $firstEl.focus();
+        }
+      }, this))
+      $firstEl.on('keydown.bs.modal', $.proxy(function (ev) {
+          if(ev.keyCode === 9 && ev.shiftKey) { // SHIFT-TAB pressed
+            ev.preventDefault();
+            $lastEl.focus();
+          }
+      }, this))
+      modalfocus.apply(this, arguments)
+    }
+
+  // DROPDOWN Extension
+  // ===============================
+
+  var toggle   = '[data-toggle=dropdown]'
+      , $par
+      , firstItem
+      , focusDelay = 200
+      , menus = $(toggle).parent().find('ul').attr('role','menu')
+      , lis = menus.find('li').attr('role','presentation')
+
+    // add menuitem role and tabIndex to dropdown links
+    lis.find('a').attr({'role':'menuitem', 'tabIndex':'-1'})
+    // add aria attributes to dropdown toggle
+    $(toggle).attr({ 'aria-haspopup':'true', 'aria-expanded': 'false'})
+
+    $(toggle).parent()
+      // Update aria-expanded when open
+      .on('shown.bs.dropdown',function(e){
+        $par = $(this)
+        var $toggle = $par.find(toggle)
+        $toggle.attr('aria-expanded','true')
+        $toggle.on('keydown.bs.dropdown', $.proxy(function (ev) {
+          setTimeout(function() {
+            firstItem = $('.dropdown-menu [role=menuitem]:visible', $par)[0]
+            try{ firstItem.focus()} catch(ex) {}
+          }, focusDelay)
+        }, this))
+
+      })
+      // Update aria-expanded when closed
+      .on('hidden.bs.dropdown',function(e){
+        $par = $(this)
+        var $toggle = $par.find(toggle)
+        $toggle.attr('aria-expanded','false')
+      })
+
+    // Close the dropdown if tabbed away from
+    $(document)
+      .on('focusout.dropdown.data-api', '.dropdown-menu', function(e){
+        var $this = $(this)
+          , that = this;
+        // since we're trying to close when appropriate,
+        // make sure the dropdown is open
+        if (!$this.parent().hasClass('open')) {
+          return;
+        }
+        setTimeout(function() {
+          if(!$.contains(that, document.activeElement)){
+            $this.parent().find('[data-toggle=dropdown]').dropdown('hide')
+          }
+        }, 150)
+       })
+      .on('keydown.bs.dropdown.data-api', toggle + ', [role=menu]' , $.fn.dropdown.Constructor.prototype.keydown);
+
+  // Tab Extension
+  // ===============================
+
+  var $tablist = $('.nav-tabs, .nav-pills')
+        , $lis = $tablist.children('li')
+        , $tabs = $tablist.find('[data-toggle="tab"], [data-toggle="pill"]')
+
+    if($tabs){
+      $tablist.attr('role', 'tablist')
+      $lis.attr('role', 'presentation')
+      $tabs.attr('role', 'tab')
+    }
+
+    $tabs.each(function( index ) {
+      var tabpanel = $($(this).attr('href'))
+        , tab = $(this)
+        , tabid = tab.attr('id') || uniqueId('ui-tab')
+
+        tab.attr('id', tabid)
+
+      if(tab.parent().hasClass('active')){
+        tab.attr( { 'tabIndex' : '0', 'aria-selected' : 'true', 'aria-controls': tab.attr('href').substr(1) } )
+        tabpanel.attr({ 'role' : 'tabpanel', 'tabIndex' : '0', 'aria-hidden' : 'false', 'aria-labelledby':tabid })
+      }else{
+        tab.attr( { 'tabIndex' : '-1', 'aria-selected' : 'false', 'aria-controls': tab.attr('href').substr(1) } )
+        tabpanel.attr( { 'role' : 'tabpanel', 'tabIndex' : '-1', 'aria-hidden' : 'true', 'aria-labelledby':tabid } )
+      }
+    })
+
+    $.fn.tab.Constructor.prototype.keydown = function (e) {
+      var $this = $(this)
+      , $items
+      , $ul = $this.closest('ul[role=tablist] ')
+      , index
+      , k = e.which || e.keyCode
+
+      $this = $(this)
+      if (!/(37|38|39|40)/.test(k)) return
+
+      $items = $ul.find('[role=tab]:visible')
+      index = $items.index($items.filter(':focus'))
+
+      if (k == 38 || k == 37) index--                         // up & left
+      if (k == 39 || k == 40) index++                        // down & right
+
+
+      if(index < 0) index = $items.length -1
+      if(index == $items.length) index = 0
+
+      var nextTab = $items.eq(index)
+      if(nextTab.attr('role') ==='tab'){
+
+        nextTab.tab('show')      //Comment this line for dynamically loaded tabPabels, to save Ajax requests on arrow key navigation
+        .focus()
+      }
+      // nextTab.focus()
+
+      e.preventDefault()
+      e.stopPropagation()
+    }
+
+    $(document).on('keydown.tab.data-api','[data-toggle="tab"], [data-toggle="pill"]' , $.fn.tab.Constructor.prototype.keydown)
+
+   var tabactivate =    $.fn.tab.Constructor.prototype.activate;
+   $.fn.tab.Constructor.prototype.activate = function (element, container, callback) {
+      var $active = container.find('> .active')
+      $active.find('[data-toggle=tab], [data-toggle=pill]').attr({ 'tabIndex' : '-1','aria-selected' : false })
+      $active.filter('.tab-pane').attr({ 'aria-hidden' : true,'tabIndex' : '-1' })
+
+      tabactivate.apply(this, arguments)
+
+      element.addClass('active')
+      element.find('[data-toggle=tab], [data-toggle=pill]').attr({ 'tabIndex' : '0','aria-selected' : true })
+      element.filter('.tab-pane').attr({ 'aria-hidden' : false,'tabIndex' : '0' })
+   }
+
+  // Collapse Extension
+  // ===============================
+
+     var $colltabs =  $('[data-toggle="collapse"]')
+      $colltabs.each(function( index ) {
+        var colltab = $(this)
+        , collpanel = (colltab.attr('data-target')) ? $(colltab.attr('data-target')) : $(colltab.attr('href'))
+        , parent  = colltab.attr('data-parent')
+        , collparent = parent && $(parent)
+        , collid = colltab.attr('id') || uniqueId('ui-collapse')
+        , parentpanel = collpanel.parent() // panel containing title and panel body
+        , parentfirstchild = (collparent) ? collparent.find('.panel.panel-default:first-child') : null // first child of containing accordion
+        , hasopenpanel = (collparent) ? collparent.find('.panel-collapse.in').length > 0 : false // true, if collapse parent has any panels with class 'in'; otherwise, false
+
+          colltab.attr('id', collid)
+
+          if(collparent){
+            colltab.attr({ 'aria-controls': collpanel.attr('id'), 'role':'tab', 'aria-selected':'false', 'aria-expanded':'false' })
+            $(collparent).find('div:not(.collapse,.panel-body), h4').attr('role','presentation')
+            collparent.attr({ 'role' : 'tablist', 'aria-multiselectable' : 'true' })
+            collpanel.attr({ 'role':'tabpanel', 'aria-labelledby':collid })
+
+            if(!hasopenpanel && parentpanel.is(parentfirstchild)) {
+              colltab.attr({ 'tabindex':'0' })
+              collpanel.attr({ 'tabindex':'-1' })
+            }else if(collpanel.hasClass('in')){
+              colltab.attr({ 'aria-selected':'true', 'aria-expanded':'true', 'tabindex':'0' })
+              collpanel.attr({ 'tabindex':'0', 'aria-hidden':'false' })
+            }else{
+              colltab.attr({ 'tabindex':'-1' })
+              collpanel.attr({ 'tabindex':'-1', 'aria-hidden':'true' })
+            }
+          }
+      })
+
+    var collToggle = $.fn.collapse.Constructor.prototype.toggle
+    $.fn.collapse.Constructor.prototype.toggle = function(){
+        var prevTab = this.$parent && this.$parent.find('[aria-expanded="true"]') , href
+
+        if(prevTab){
+          var prevPanel = prevTab.attr('data-target') || (href = prevTab.attr('href')) && href.replace(/.*(?=#[^\s]+$)/, '')
+          , $prevPanel = $(prevPanel)
+          , $curPanel = this.$element
+          , par = this.$parent
+          , curTab
+
+        if (this.$parent) curTab = this.$parent.find('[data-toggle=collapse][href="#' + this.$element.attr('id') + '"]')
+
+        collToggle.apply(this, arguments)
+
+        if ($.support.transition) {
+          this.$element.one($.support.transition.end, function(){
+
+              prevTab.attr({ 'aria-selected':'false','aria-expanded':'false', 'tabIndex':'-1' })
+              $prevPanel.attr({ 'aria-hidden' : 'true','tabIndex' : '-1'})
+
+              curTab.attr({ 'aria-selected':'true','aria-expanded':'true', 'tabIndex':'0' })
+
+              if($curPanel.hasClass('in')){
+                $curPanel.attr({ 'aria-hidden' : 'false','tabIndex' : '0' })
+              }else{
+                curTab.attr({ 'aria-selected':'false','aria-expanded':'false'})
+                $curPanel.attr({ 'aria-hidden' : 'true','tabIndex' : '-1' })
+              }
+          })
+        }
+      }else{
+        collToggle.apply(this, arguments)
+      }
+    }
+
+    $.fn.collapse.Constructor.prototype.keydown = function (e) {
+      var $this = $(this)
+      , $items
+      , $tablist = $this.closest('div[role=tablist] ')
+      , index
+      , k = e.which || e.keyCode
+
+      $this = $(this)
+      if (!/(32|37|38|39|40)/.test(k)) return
+      if(k==32) $this.click()
+
+      $items = $tablist.find('[role=tab]')
+      index = $items.index($items.filter(':focus'))
+
+      if (k == 38 || k == 37) index--                                        // up & left
+      if (k == 39 || k == 40) index++                        // down & right
+      if(index < 0) index = $items.length -1
+      if(index == $items.length) index = 0
+
+      $items.eq(index).focus()
+
+      e.preventDefault()
+      e.stopPropagation()
+
+    }
+
+    $(document).on('keydown.collapse.data-api','[data-toggle="collapse"]' ,  $.fn.collapse.Constructor.prototype.keydown);
+
+
+// Carousel Extension
+  // ===============================
+
+      $('.carousel').each(function (index) {
+
+        // This function positions a highlight box around the tabs in the tablist to use in focus styling
+
+        function setTablistHighlightBox() {
+
+          var $tab
+              , offset
+              , height
+              , width
+              , highlightBox = {}
+
+            highlightBox.top     = 0
+          highlightBox.left    = 32000
+          highlightBox.height  = 0
+          highlightBox.width   = 0
+
+          for (var i = 0; i < $tabs.length; i++) {
+            $tab = $tabs[i]
+            offset = $($tab).offset()
+            height = $($tab).height()
+            width  = $($tab).width()
+
+//            console.log(" Top: " + offset.top + " Left: " + offset.left + " Height: " + height + " Width: " + width)
+
+            if (highlightBox.top < offset.top) {
+              highlightBox.top    = Math.round(offset.top)
+            }
+
+            if (highlightBox.height < height) {
+              highlightBox.height = Math.round(height)
+            }
+
+            if (highlightBox.left > offset.left) {
+              highlightBox.left = Math.round(offset.left)
+            }
+
+            var w = (offset.left - highlightBox.left) + Math.round(width)
+
+            if (highlightBox.width < w) {
+              highlightBox.width = w
+            }
+
+          } // end for
+
+//          console.log("[HIGHLIGHT]  Top: " +  highlightBox.top + " Left: " +  highlightBox.left + " Height: " +  highlightBox.height + " Width: " +  highlightBox.width)
+
+          $tablistHighlight.style.top    = (highlightBox.top    - 2)  + 'px'
+          $tablistHighlight.style.left   = (highlightBox.left   - 2)  + 'px'
+          $tablistHighlight.style.height = (highlightBox.height + 7)  + 'px'
+          $tablistHighlight.style.width  = (highlightBox.width  + 8)  + 'px'
+
+        } // end function
+
+        var $this = $(this)
+          , $prev        = $this.find('[data-slide="prev"]')
+          , $next        = $this.find('[data-slide="next"]')
+          , $tablist    = $this.find('.carousel-indicators')
+          , $tabs       = $this.find('.carousel-indicators li')
+          , $tabpanels  = $this.find('.item')
+          , $tabpanel
+          , $tablistHighlight
+          , $pauseCarousel
+          , $complementaryLandmark
+          , $tab
+          , $is_paused = false
+          , offset
+          , height
+          , width
+          , i
+          , id_title  = 'id_title'
+          , id_desc   = 'id_desc'
+
+
+        $tablist.attr('role', 'tablist')
+
+        $tabs.focus(function() {
+          $this.carousel('pause')
+          $is_paused = true
+          $pauseCarousel.innerHTML = "Play Carousel"
+          $(this).parent().addClass('active');
+//          $(this).addClass('focus')
+          setTablistHighlightBox()
+          $($tablistHighlight).addClass('focus')
+          $(this).parents('.carousel').addClass('contrast')
+        })
+
+        $tabs.blur(function(event) {
+          $(this).parent().removeClass('active');
+//          $(this).removeClass('focus')
+          $($tablistHighlight).removeClass('focus')
+          $(this).parents('.carousel').removeClass('contrast')
+        })
+
+
+        for (i = 0; i < $tabpanels.length; i++) {
+          $tabpanel = $tabpanels[i]
+          $tabpanel.setAttribute('role', 'tabpanel')
+          $tabpanel.setAttribute('id', 'tabpanel-' + index + '-' + i)
+          $tabpanel.setAttribute('aria-labelledby', 'tab-' + index + '-' + i)
+        }
+
+        if (typeof $this.attr('role') !== 'string') {
+          $this.attr('role', 'complementary');
+          $this.attr('aria-labelledby', id_title);
+          $this.attr('aria-describedby', id_desc);
+          $this.prepend('<p  id="' + id_desc   + '" class="sr-only">A carousel is a rotating set of images, rotation stops on keyboard focus on carousel tab controls or hovering the mouse pointer over images.  Use the tabs or the previous and next buttons to change the displayed slide.</p>')
+          $this.prepend('<h2 id="' + id_title  + '" class="sr-only">Carousel content with ' + $tabpanels.length + ' slides.</h2>')
+        }
+
+
+        for (i = 0; i < $tabs.length; i++) {
+          $tab = $tabs[i]
+
+          $tab.setAttribute('role', 'tab')
+          $tab.setAttribute('id', 'tab-' + index + '-' + i)
+          $tab.setAttribute('aria-controls', 'tabpanel-' + index + '-' + i)
+
+          var tpId = '#tabpanel-' + index + '-' + i
+          var caption = $this.find(tpId).find('h1').text()
+
+          if ((typeof caption !== 'string') || (caption.length === 0)) caption = $this.find(tpId).text()
+          if ((typeof caption !== 'string') || (caption.length === 0)) caption = $this.find(tpId).find('h3').text()
+          if ((typeof caption !== 'string') || (caption.length === 0)) caption = $this.find(tpId).find('h4').text()
+          if ((typeof caption !== 'string') || (caption.length === 0)) caption = $this.find(tpId).find('h5').text()
+          if ((typeof caption !== 'string') || (caption.length === 0)) caption = $this.find(tpId).find('h6').text()
+          if ((typeof caption !== 'string') || (caption.length === 0)) caption = "no title";
+
+//          console.log("CAPTION: " + caption )
+
+          var tabName = document.createElement('span')
+          tabName.setAttribute('class', 'sr-only')
+          tabName.innerHTML='Slide ' + (i+1)
+          if (caption) tabName.innerHTML += ": " +  caption
+          $tab.appendChild(tabName)
+
+         }
+
+        // create div for focus styling of tablist
+        $tablistHighlight = document.createElement('div')
+        $tablistHighlight.className = 'carousel-tablist-highlight'
+        document.body.appendChild($tablistHighlight)
+
+        // create button for screen reader users to stop rotation of carousel
+
+        // create button for screen reader users to pause carousel for virtual mode review
+        $complementaryLandmark = document.createElement('aside')
+        $complementaryLandmark.setAttribute('class', 'carousel-aside-pause')
+        $complementaryLandmark.setAttribute('aria-label', 'carousel pause/play control')
+        $this.prepend($complementaryLandmark)
+
+        $pauseCarousel = document.createElement('button')
+        $pauseCarousel.className = "carousel-pause-button"
+        $pauseCarousel.innerHTML = "Pause Carousel"
+        $pauseCarousel.setAttribute('title', "Pause/Play carousel button can be used by screen reader users to stop carousel animations")
+        $($complementaryLandmark).append($pauseCarousel)
+
+        $($pauseCarousel).click(function() {
+          if ($is_paused) {
+            $pauseCarousel.innerHTML = "Pause Carousel"
+            $this.carousel('cycle')
+            $is_paused = false
+          }
+          else {
+            $pauseCarousel.innerHTML = "Play Carousel"
+            $this.carousel('pause')
+            $is_paused = true
+          }
+        })
+        $($pauseCarousel).focus(function() {
+          $(this).addClass('focus')
+        })
+
+        $($pauseCarousel).blur(function() {
+          $(this).removeClass('focus')
+        })
+
+        setTablistHighlightBox()
+
+        $( window ).resize(function() {
+          setTablistHighlightBox()
+        })
+
+        // Add space bar behavior to prev and next buttons for SR compatibility
+        $prev.attr('aria-label', 'Previous Slide')
+        $prev.keydown(function(e) {
+          var k = e.which || e.keyCode
+          if (/(13|32)/.test(k)) {
+            e.preventDefault()
+            e.stopPropagation()
+            $prev.trigger('click');
+          }
+        });
+
+        $prev.focus(function() {
+          $(this).parents('.carousel').addClass('contrast')
+        })
+
+        $prev.blur(function() {
+          $(this).parents('.carousel').removeClass('contrast')
+        })
+
+        $next.attr('aria-label', 'Next Slide')
+        $next.keydown(function(e) {
+          var k = e.which || e.keyCode
+          if (/(13|32)/.test(k)) {
+            e.preventDefault()
+            e.stopPropagation()
+            $next.trigger('click');
+          }
+        });
+
+        $next.focus(function() {
+          $(this).parents('.carousel').addClass('contrast')
+        })
+
+        $next.blur(function() {
+          $(this).parents('.carousel').removeClass('contrast')
+        })
+
+        $('.carousel-inner a').focus(function() {
+          $(this).parents('.carousel').addClass('contrast')
+        })
+
+         $('.carousel-inner a').blur(function() {
+          $(this).parents('.carousel').removeClass('contrast')
+        })
+
+        $tabs.each(function () {
+          var item = $(this)
+          if(item.hasClass('active')) {
+            item.attr({ 'aria-selected': 'true', 'tabindex' : '0' })
+          }else{
+            item.attr({ 'aria-selected': 'false', 'tabindex' : '-1' })
+          }
+        })
+      })
+
+      var slideCarousel = $.fn.carousel.Constructor.prototype.slide
+      $.fn.carousel.Constructor.prototype.slide = function (type, next) {
+        var $element = this.$element
+          , $active  = $element.find('[role=tabpanel].active')
+          , $next    = next || $active[type]()
+          , $tab
+          , $tab_count = $element.find('[role=tabpanel]').length
+          , $prev_side = $element.find('[data-slide="prev"]')
+          , $next_side = $element.find('[data-slide="next"]')
+          , $index      = 0
+          , $prev_index = $tab_count -1
+          , $next_index = 1
+          , $id
+
+        if ($next && $next.attr('id')) {
+          $id = $next.attr('id')
+          $index = $id.lastIndexOf("-")
+          if ($index >= 0) $index = parseInt($id.substring($index+1), 10)
+
+          $prev_index = $index - 1
+          if ($prev_index < 1) $prev_index = $tab_count - 1
+
+          $next_index = $index + 1
+          if ($next_index >= $tab_count) $next_index = 0
+        }
+
+        $prev_side.attr('aria-label', 'Show slide ' + ($prev_index+1) + ' of ' + $tab_count)
+        $next_side.attr('aria-label', 'Show slide ' + ($next_index+1) + ' of ' + $tab_count)
+
+
+        slideCarousel.apply(this, arguments)
+
+      $active
+        .one('bsTransitionEnd', function () {
+          var $tab
+
+          $tab = $element.find('li[aria-controls="' + $active.attr('id') + '"]')
+          if ($tab) $tab.attr({'aria-selected':false, 'tabIndex': '-1'})
+
+          $tab = $element.find('li[aria-controls="' + $next.attr('id') + '"]')
+          if ($tab) $tab.attr({'aria-selected': true, 'tabIndex': '0'})
+
+       })
+      }
+
+     var $this;
+     $.fn.carousel.Constructor.prototype.keydown = function (e) {
+
+     $this = $this || $(this)
+     if(this instanceof Node) $this = $(this)
+
+     function selectTab(index) {
+       if (index >= $tabs.length) return
+       if (index < 0) return
+
+       $carousel.carousel(index)
+       setTimeout(function () {
+            $tabs[index].focus()
+            // $this.prev().focus()
+       }, 150)
+     }
+
+     var $carousel = $(e.target).closest('.carousel')
+      , $tabs      = $carousel.find('[role=tab]')
+      , k = e.which || e.keyCode
+      , index
+
+      if (!/(37|38|39|40)/.test(k)) return
+
+      index = $tabs.index($tabs.filter('.active'))
+      if (k == 37 || k == 38) {                           //  Up
+        index--
+        selectTab(index);
+      }
+
+      if (k == 39 || k == 40) {                          // Down
+        index++
+        selectTab(index);
+      }
+
+      e.preventDefault()
+      e.stopPropagation()
+    }
+    $(document).on('keydown.carousel.data-api', 'li[role=tab]', $.fn.carousel.Constructor.prototype.keydown);
+
+
+ });
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.macosx/res/macosx/library/bslib/lib/bs-a11y-p/plugins/js/bootstrap-accessibility.min.js
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.macosx/res/macosx/library/bslib/lib/bs-a11y-p/plugins/js/bootstrap-accessibility.min.js	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.macosx/res/macosx/library/bslib/lib/bs-a11y-p/plugins/js/bootstrap-accessibility.min.js	(revision 3761)
@@ -0,0 +1,3 @@
+parcelRequire=function(e,r,t,n){var i,o="function"==typeof parcelRequire&&parcelRequire,u="function"==typeof require&&require;function f(t,n){if(!r[t]){if(!e[t]){var i="function"==typeof parcelRequire&&parcelRequire;if(!n&&i)return i(t,!0);if(o)return o(t,!0);if(u&&"string"==typeof t)return u(t);var c=new Error("Cannot find module '"+t+"'");throw c.code="MODULE_NOT_FOUND",c}p.resolve=function(r){return e[t][1][r]||r},p.cache={};var l=r[t]=new f.Module(t);e[t][0].call(l.exports,p,l,l.exports,this)}return r[t].exports;function p(e){return f(p.resolve(e))}}f.isParcelRequire=!0,f.Module=function(e){this.id=e,this.bundle=f,this.exports={}},f.modules=e,f.cache=r,f.parent=o,f.register=function(r,t){e[r]=[function(e,r){r.exports=t},{}]};for(var c=0;c<t.length;c++)try{f(t[c])}catch(e){i||(i=e)}if(t.length){var l=f(t[t.length-1]);"object"==typeof exports&&"undefined"!=typeof module?module.exports=l:"function"==typeof define&&define.amd?define(function(){return l}):n&&(this[n]=l)}if(parcelRequire=f,i)throw i;return f}({"aQMl":[function(require,module,exports) {
+$(function(){"use strict";var t=function(t){return(t||"ui-id")+"-"+Math.floor(1e3*Math.random()+1)},e=function(t,e){var r,n,o,i=t.nodeName.toLowerCase();return"area"===i?(n=(r=t.parentNode).name,!(!t.href||!n||"map"!==r.nodeName.toLowerCase())&&(!!(o=$("img[usemap='#"+n+"']")[0])&&a(o))):(/input|select|textarea|button|object/.test(i)?!t.disabled:"a"===i&&t.href||e)&&a(t)},a=function(t){return $.expr.filters.visible(t)&&!$(t).parents().addBack().filter(function(){return"hidden"===$.css(this,"visibility")}).length};$.extend($.expr[":"],{data:$.expr.createPseudo?$.expr.createPseudo(function(t){return function(e){return!!$.data(e,t)}}):function(t,e,a){return!!$.data(t,a[3])},focusable:function(t){return e(t,!isNaN($.attr(t,"tabindex")))},tabbable:function(t){var a=$.attr(t,"tabindex"),r=isNaN(a);return(r||a>=0)&&e(t,!r)}}),$(".modal-dialog").attr({role:"document"});var r=$.fn.modal.Constructor.prototype.hide;$.fn.modal.Constructor.prototype.hide=function(){r.apply(this,arguments),$(document).off("keydown.bs.modal")};var n=$.fn.modal.Constructor.prototype.enforceFocus;$.fn.modal.Constructor.prototype.enforceFocus=function(){var t=this.$element.find(".modal-content").find(":tabbable"),e=$(t[t.length-1]),a=$(t[0]);e.on("keydown.bs.modal",$.proxy(function(t){9!==t.keyCode||t.shiftKey|t.ctrlKey|t.metaKey|t.altKey||(t.preventDefault(),a.focus())},this)),a.on("keydown.bs.modal",$.proxy(function(t){9===t.keyCode&&t.shiftKey&&(t.preventDefault(),e.focus())},this)),n.apply(this,arguments)};var o,i,s="[data-toggle=dropdown]";$(s).parent().find("ul").attr("role","menu").find("li").attr("role","presentation").find("a").attr({role:"menuitem",tabIndex:"-1"}),$(s).attr({"aria-haspopup":"true","aria-expanded":"false"}),$(s).parent().on("shown.bs.dropdown",function(t){var e=(o=$(this)).find(s);e.attr("aria-expanded","true"),e.on("keydown.bs.dropdown",$.proxy(function(t){setTimeout(function(){i=$(".dropdown-menu [role=menuitem]:visible",o)[0];try{i.focus()}catch(t){}},200)},this))}).on("hidden.bs.dropdown",function(t){(o=$(this)).find(s).attr("aria-expanded","false")}),$(document).on("focusout.dropdown.data-api",".dropdown-menu",function(t){var e=$(this),a=this;e.parent().hasClass("open")&&setTimeout(function(){$.contains(a,document.activeElement)||e.parent().find("[data-toggle=dropdown]").dropdown("hide")},150)}).on("keydown.bs.dropdown.data-api",s+", [role=menu]",$.fn.dropdown.Constructor.prototype.keydown);var l=$(".nav-tabs, .nav-pills"),d=l.children("li"),c=l.find('[data-toggle="tab"], [data-toggle="pill"]');c&&(l.attr("role","tablist"),d.attr("role","presentation"),c.attr("role","tab")),c.each(function(e){var a=$($(this).attr("href")),r=$(this),n=r.attr("id")||t("ui-tab");r.attr("id",n),r.parent().hasClass("active")?(r.attr({tabIndex:"0","aria-selected":"true","aria-controls":r.attr("href").substr(1)}),a.attr({role:"tabpanel",tabIndex:"0","aria-hidden":"false","aria-labelledby":n})):(r.attr({tabIndex:"-1","aria-selected":"false","aria-controls":r.attr("href").substr(1)}),a.attr({role:"tabpanel",tabIndex:"-1","aria-hidden":"true","aria-labelledby":n}))}),$.fn.tab.Constructor.prototype.keydown=function(t){var e,a,r=$(this),n=r.closest("ul[role=tablist] "),o=t.which||t.keyCode;if(r=$(this),/(37|38|39|40)/.test(o)){a=(e=n.find("[role=tab]:visible")).index(e.filter(":focus")),38!=o&&37!=o||a--,39!=o&&40!=o||a++,a<0&&(a=e.length-1),a==e.length&&(a=0);var i=e.eq(a);"tab"===i.attr("role")&&i.tab("show").focus(),t.preventDefault(),t.stopPropagation()}},$(document).on("keydown.tab.data-api",'[data-toggle="tab"], [data-toggle="pill"]',$.fn.tab.Constructor.prototype.keydown);var u=$.fn.tab.Constructor.prototype.activate;$.fn.tab.Constructor.prototype.activate=function(t,e,a){var r=e.find("> .active");r.find("[data-toggle=tab], [data-toggle=pill]").attr({tabIndex:"-1","aria-selected":!1}),r.filter(".tab-pane").attr({"aria-hidden":!0,tabIndex:"-1"}),u.apply(this,arguments),t.addClass("active"),t.find("[data-toggle=tab], [data-toggle=pill]").attr({tabIndex:"0","aria-selected":!0}),t.filter(".tab-pane").attr({"aria-hidden":!1,tabIndex:"0"})},$('[data-toggle="collapse"]').each(function(e){var a=$(this),r=a.attr("data-target")?$(a.attr("data-target")):$(a.attr("href")),n=a.attr("data-parent"),o=n&&$(n),i=a.attr("id")||t("ui-collapse"),s=r.parent(),l=o?o.find(".panel.panel-default:first-child"):null,d=!!o&&o.find(".panel-collapse.in").length>0;a.attr("id",i),o&&(a.attr({"aria-controls":r.attr("id"),role:"tab","aria-selected":"false","aria-expanded":"false"}),$(o).find("div:not(.collapse,.panel-body), h4").attr("role","presentation"),o.attr({role:"tablist","aria-multiselectable":"true"}),r.attr({role:"tabpanel","aria-labelledby":i}),!d&&s.is(l)?(a.attr({tabindex:"0"}),r.attr({tabindex:"-1"})):r.hasClass("in")?(a.attr({"aria-selected":"true","aria-expanded":"true",tabindex:"0"}),r.attr({tabindex:"0","aria-hidden":"false"})):(a.attr({tabindex:"-1"}),r.attr({tabindex:"-1","aria-hidden":"true"})))});var p=$.fn.collapse.Constructor.prototype.toggle;$.fn.collapse.Constructor.prototype.toggle=function(){var t,e=this.$parent&&this.$parent.find('[aria-expanded="true"]');if(e){var a,r=e.attr("data-target")||(t=e.attr("href"))&&t.replace(/.*(?=#[^\s]+$)/,""),n=$(r),o=this.$element;this.$parent;this.$parent&&(a=this.$parent.find('[data-toggle=collapse][href="#'+this.$element.attr("id")+'"]')),p.apply(this,arguments),$.support.transition&&this.$element.one($.support.transition.end,function(){e.attr({"aria-selected":"false","aria-expanded":"false",tabIndex:"-1"}),n.attr({"aria-hidden":"true",tabIndex:"-1"}),a.attr({"aria-selected":"true","aria-expanded":"true",tabIndex:"0"}),o.hasClass("in")?o.attr({"aria-hidden":"false",tabIndex:"0"}):(a.attr({"aria-selected":"false","aria-expanded":"false"}),o.attr({"aria-hidden":"true",tabIndex:"-1"}))})}else p.apply(this,arguments)},$.fn.collapse.Constructor.prototype.keydown=function(t){var e,a,r=$(this),n=r.closest("div[role=tablist] "),o=t.which||t.keyCode;r=$(this),/(32|37|38|39|40)/.test(o)&&(32==o&&r.click(),a=(e=n.find("[role=tab]")).index(e.filter(":focus")),38!=o&&37!=o||a--,39!=o&&40!=o||a++,a<0&&(a=e.length-1),a==e.length&&(a=0),e.eq(a).focus(),t.preventDefault(),t.stopPropagation())},$(document).on("keydown.collapse.data-api",'[data-toggle="collapse"]',$.fn.collapse.Constructor.prototype.keydown),$(".carousel").each(function(t){function e(){for(var t,e,a,n,o={top:0,left:32e3,height:0,width:0},i=0;i<p.length;i++){t=p[i],e=$(t).offset(),a=$(t).height(),n=$(t).width(),o.top<e.top&&(o.top=Math.round(e.top)),o.height<a&&(o.height=Math.round(a)),o.left>e.left&&(o.left=Math.round(e.left));var s=e.left-o.left+Math.round(n);o.width<s&&(o.width=s)}r.style.top=o.top-2+"px",r.style.left=o.left-2+"px",r.style.height=o.height+7+"px",r.style.width=o.width+8+"px"}var a,r,n,o,i,s,l=$(this),d=l.find('[data-slide="prev"]'),c=l.find('[data-slide="next"]'),u=l.find(".carousel-indicators"),p=l.find(".carousel-indicators li"),f=l.find(".item"),h=!1;for(u.attr("role","tablist"),p.focus(function(){l.carousel("pause"),h=!0,n.innerHTML="Play Carousel",$(this).parent().addClass("active"),e(),$(r).addClass("focus"),$(this).parents(".carousel").addClass("contrast")}),p.blur(function(t){$(this).parent().removeClass("active"),$(r).removeClass("focus"),$(this).parents(".carousel").removeClass("contrast")}),s=0;s<f.length;s++)(a=f[s]).setAttribute("role","tabpanel"),a.setAttribute("id","tabpanel-"+t+"-"+s),a.setAttribute("aria-labelledby","tab-"+t+"-"+s);for("string"!=typeof l.attr("role")&&(l.attr("role","complementary"),l.attr("aria-labelledby","id_title"),l.attr("aria-describedby","id_desc"),l.prepend('<p  id="id_desc" class="sr-only">A carousel is a rotating set of images, rotation stops on keyboard focus on carousel tab controls or hovering the mouse pointer over images.  Use the tabs or the previous and next buttons to change the displayed slide.</p>'),l.prepend('<h2 id="id_title" class="sr-only">Carousel content with '+f.length+" slides.</h2>")),s=0;s<p.length;s++){(i=p[s]).setAttribute("role","tab"),i.setAttribute("id","tab-"+t+"-"+s),i.setAttribute("aria-controls","tabpanel-"+t+"-"+s);var b="#tabpanel-"+t+"-"+s,y=l.find(b).find("h1").text();"string"==typeof y&&0!==y.length||(y=l.find(b).text()),"string"==typeof y&&0!==y.length||(y=l.find(b).find("h3").text()),"string"==typeof y&&0!==y.length||(y=l.find(b).find("h4").text()),"string"==typeof y&&0!==y.length||(y=l.find(b).find("h5").text()),"string"==typeof y&&0!==y.length||(y=l.find(b).find("h6").text()),"string"==typeof y&&0!==y.length||(y="no title");var g=document.createElement("span");g.setAttribute("class","sr-only"),g.innerHTML="Slide "+(s+1),y&&(g.innerHTML+=": "+y),i.appendChild(g)}(r=document.createElement("div")).className="carousel-tablist-highlight",document.body.appendChild(r),(o=document.createElement("aside")).setAttribute("class","carousel-aside-pause"),o.setAttribute("aria-label","carousel pause/play control"),l.prepend(o),(n=document.createElement("button")).className="carousel-pause-button",n.innerHTML="Pause Carousel",n.setAttribute("title","Pause/Play carousel button can be used by screen reader users to stop carousel animations"),$(o).append(n),$(n).click(function(){h?(n.innerHTML="Pause Carousel",l.carousel("cycle"),h=!1):(n.innerHTML="Play Carousel",l.carousel("pause"),h=!0)}),$(n).focus(function(){$(this).addClass("focus")}),$(n).blur(function(){$(this).removeClass("focus")}),e(),$(window).resize(function(){e()}),d.attr("aria-label","Previous Slide"),d.keydown(function(t){var e=t.which||t.keyCode;/(13|32)/.test(e)&&(t.preventDefault(),t.stopPropagation(),d.trigger("click"))}),d.focus(function(){$(this).parents(".carousel").addClass("contrast")}),d.blur(function(){$(this).parents(".carousel").removeClass("contrast")}),c.attr("aria-label","Next Slide"),c.keydown(function(t){var e=t.which||t.keyCode;/(13|32)/.test(e)&&(t.preventDefault(),t.stopPropagation(),c.trigger("click"))}),c.focus(function(){$(this).parents(".carousel").addClass("contrast")}),c.blur(function(){$(this).parents(".carousel").removeClass("contrast")}),$(".carousel-inner a").focus(function(){$(this).parents(".carousel").addClass("contrast")}),$(".carousel-inner a").blur(function(){$(this).parents(".carousel").removeClass("contrast")}),p.each(function(){var t=$(this);t.hasClass("active")?t.attr({"aria-selected":"true",tabindex:"0"}):t.attr({"aria-selected":"false",tabindex:"-1"})})});var f,h=$.fn.carousel.Constructor.prototype.slide;$.fn.carousel.Constructor.prototype.slide=function(t,e){var a,r=this.$element,n=r.find("[role=tabpanel].active"),o=e||n[t](),i=r.find("[role=tabpanel]").length,s=r.find('[data-slide="prev"]'),l=r.find('[data-slide="next"]'),d=0,c=i-1,u=1;o&&o.attr("id")&&((d=(a=o.attr("id")).lastIndexOf("-"))>=0&&(d=parseInt(a.substring(d+1),10)),(c=d-1)<1&&(c=i-1),(u=d+1)>=i&&(u=0)),s.attr("aria-label","Show slide "+(c+1)+" of "+i),l.attr("aria-label","Show slide "+(u+1)+" of "+i),h.apply(this,arguments),n.one("bsTransitionEnd",function(){var t;(t=r.find('li[aria-controls="'+n.attr("id")+'"]'))&&t.attr({"aria-selected":!1,tabIndex:"-1"}),(t=r.find('li[aria-controls="'+o.attr("id")+'"]'))&&t.attr({"aria-selected":!0,tabIndex:"0"})})},$.fn.carousel.Constructor.prototype.keydown=function(t){function e(t){t>=n.length||t<0||(r.carousel(t),setTimeout(function(){n[t].focus()},150))}f=f||$(this),this instanceof Node&&(f=$(this));var a,r=$(t.target).closest(".carousel"),n=r.find("[role=tab]"),o=t.which||t.keyCode;/(37|38|39|40)/.test(o)&&(a=n.index(n.filter(".active")),37!=o&&38!=o||e(--a),39!=o&&40!=o||e(++a),t.preventDefault(),t.stopPropagation())},$(document).on("keydown.carousel.data-api","li[role=tab]",$.fn.carousel.Constructor.prototype.keydown)});
+},{}]},{},["aQMl"], null)
\ No newline at end of file
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.macosx/res/macosx/library/bslib/lib/bsw4/dist/cyborg/font.css
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.macosx/res/macosx/library/bslib/lib/bsw4/dist/cyborg/font.css	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.macosx/res/macosx/library/bslib/lib/bsw4/dist/cyborg/font.css	(revision 3761)
@@ -0,0 +1,14 @@
+@font-face {
+  font-family: 'Roboto';
+  font-style: normal;
+  font-weight: 400;
+  font-display: swap;
+  src: url(fonts/KFOmCnqEu92Fr1Me5g.woff) format('woff');
+}
+@font-face {
+  font-family: 'Roboto';
+  font-style: normal;
+  font-weight: 700;
+  font-display: swap;
+  src: url(fonts/KFOlCnqEu92Fr1MmWUlvAA.woff) format('woff');
+}
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.macosx/res/macosx/library/bslib/lib/bsw4/dist/cyborg/_variables.scss
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.macosx/res/macosx/library/bslib/lib/bsw4/dist/cyborg/_variables.scss	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.macosx/res/macosx/library/bslib/lib/bsw4/dist/cyborg/_variables.scss	(revision 3761)
@@ -0,0 +1,173 @@
+// Cyborg 4.6.0
+// Bootswatch
+
+//
+// Color system
+//
+
+$white:    #fff !default;
+$gray-100: #f8f9fa !default;
+$gray-200: #e9ecef !default;
+$gray-300: #dee2e6 !default;
+$gray-400: #adafae !default;
+$gray-500: #888 !default;
+$gray-600: #555 !default;
+$gray-700: #282828 !default;
+$gray-800: #222 !default;
+$gray-900: #212529 !default;
+$black:    #000 !default;
+
+$blue:    #2a9fd6 !default;
+$indigo:  #6610f2 !default;
+$purple:  #6f42c1 !default;
+$pink:    #e83e8c !default;
+$red:     #c00 !default;
+$orange:  #fd7e14 !default;
+$yellow:  #f80 !default;
+$green:   #77b300 !default;
+$teal:    #20c997 !default;
+$cyan:    #93c !default;
+
+// Body
+
+@function body-mix($weight) {
+    @return mix(#060606, $gray-400, $weight);
+}
+$body-bg:                   body-mix(100%) !default;
+$body-color:                body-mix(0%) !default;
+
+// Most defaults to cascade from body bg/color, but some
+// colors really want to a full contrast from the bg color
+$contrast-bg: color-contrast($body-bg) !default;
+
+$primary:       $blue !default;
+$secondary:     body-mix(67%) !default;
+$success:       $green !default;
+$info:          $cyan !default;
+$warning:       $yellow !default;
+$danger:        $red !default;
+$light:         body-mix(33%) !default;
+$dark:          $body-color !default;
+
+// Fonts
+
+// stylelint-disable-next-line value-keyword-case
+$font-family-sans-serif:  Roboto, -apple-system, BlinkMacSystemFont, "Segoe UI", "Helvetica Neue", Arial, sans-serif !default;
+$font-size-base:          .875rem !default;
+$h1-font-size:            4rem !default;
+$h2-font-size:            3rem !default;
+$h3-font-size:            2.5rem !default;
+$h4-font-size:            2rem !default;
+$h5-font-size:            1.5rem !default;
+$headings-color:          $contrast-bg !default;
+
+// Tables
+
+$table-color:                   $contrast-bg !default;
+$table-accent-bg:               rgba($contrast-bg, .05) !default;
+$table-hover-bg:                rgba($contrast-bg, .075) !default;
+$table-border-color:            body-mix(50%) !default;
+$table-dark-bg:                 body-mix(16%) !default;
+$table-dark-border-color:       body-mix(23%) !default;
+
+// Buttons
+
+$input-btn-padding-x:       1rem !default;
+
+// Forms
+
+$input-disabled-bg:                 $body-color !default;
+$input-border-color:                $contrast-bg !default;
+$input-group-addon-color:           $contrast-bg !default;
+$input-group-addon-bg:              body-mix(50%) !default;
+$input-group-addon-border-color:    transparent !default;
+$custom-file-color:                 $contrast-bg !default;
+$custom-file-border-color:          body-mix(50%) !default;
+
+// Dropdowns
+
+$dropdown-bg:                    body-mix(50%) !default;
+$dropdown-divider-bg:            body-mix(67%) !default;
+$dropdown-link-color:            $contrast-bg !default;
+$dropdown-link-hover-color:      $contrast-bg !default;
+$dropdown-link-hover-bg:         $primary !default;
+
+// Navs
+
+$nav-tabs-border-color:                       $table-border-color !default;
+$nav-tabs-link-hover-border-color:            $nav-tabs-border-color !default;
+$nav-tabs-link-active-color:                  $contrast-bg !default;
+$nav-tabs-link-active-bg:                     $nav-tabs-border-color !default;
+$nav-tabs-link-active-border-color:           $nav-tabs-border-color !default;
+
+// Navbar
+
+$navbar-dark-hover-color:           $contrast-bg !default;
+
+// Pagination
+
+$pagination-color:                     $contrast-bg !default;
+$pagination-bg:                        body-mix(50%) !default;
+$pagination-border-color:              transparent !default;
+$pagination-hover-color:               $contrast-bg !default;
+$pagination-hover-bg:                  $primary !default;
+$pagination-hover-border-color:        $pagination-border-color !default;
+$pagination-disabled-bg:               $pagination-bg !default;
+$pagination-disabled-border-color:     $pagination-border-color !default;
+
+
+// Jumbotron
+
+$jumbotron-bg:                      body-mix(50%) !default;
+
+// Cards
+
+$card-bg:                           body-mix(50%) !default;
+
+// Tooltips
+
+$tooltip-bg:                        body-mix(50%) !default;
+$tooltip-opacity:                   1 !default;
+
+// Popovers
+
+$popover-bg:                        body-mix(50%) !default;
+
+// Toasts
+
+$toast-color:                       $contrast-bg !default;
+$toast-background-color:            body-mix(67%) !default;
+$toast-border-color:                body-mix(50%) !default;
+$toast-header-color:                $body-color !default;
+$toast-header-background-color:     $toast-background-color !default;
+$toast-header-border-color:         $toast-border-color !default;
+
+// Modals
+
+$modal-content-bg:                  body-mix(67%) !default;
+$modal-header-border-color:         body-mix(50%) !default;
+
+// Progress bars
+
+$progress-bg:                       body-mix(50%) !default;
+
+// List group
+
+$list-group-bg:                     body-mix(67%) !default;
+$list-group-border-color:           body-mix(50%) !default;
+$list-group-hover-bg:               $primary !default;
+$list-group-disabled-bg:            body-mix(50%) !default;
+$list-group-action-active-bg:       $primary !default;
+
+// Breadcrumbs
+
+$breadcrumb-bg:                     body-mix(50%) !default;
+
+// Close
+
+$close-color:                       $contrast-bg !default;
+$close-text-shadow:                 none !default;
+
+// Code
+
+$pre-color:                         inherit !default;
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.macosx/res/macosx/library/bslib/lib/bsw4/dist/cyborg/_bootswatch.scss
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.macosx/res/macosx/library/bslib/lib/bsw4/dist/cyborg/_bootswatch.scss	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.macosx/res/macosx/library/bslib/lib/bsw4/dist/cyborg/_bootswatch.scss	(revision 3761)
@@ -0,0 +1,337 @@
+// Cyborg 4.6.0
+// Bootswatch
+
+
+// Variables ===================================================================
+
+$web-font-path: "https://fonts.googleapis.com/css2?family=Roboto:wght@400;700&display=swap" !default;
+@import url($web-font-path);
+
+// Functions ===================================================================
+
+@function darken($color, $percent) {
+  @return mix($body-bg, $color, $percent);
+}
+@function lighten($color, $percent) {
+  @return mix($body-color, $color, $percent);
+}
+
+// Navbar ======================================================================
+
+.navbar {
+  &.bg-primary {
+    border: 1px solid body-mix(50%);
+  }
+
+  &.bg-dark {
+    background-color: $body-bg !important;
+    border: 1px solid body-mix(50%);
+  }
+
+  &.bg-light {
+    background-color: body-mix(16%) !important;
+  }
+
+  &.fixed-top {
+    border-width: 0 0 1px;
+  }
+
+  &.fixed-bottom {
+    border-width: 1px 0 0;
+  }
+}
+
+// Buttons =====================================================================
+
+.btn {
+  @each $color, $value in $theme-colors {
+    &-#{$color} {
+      @if $enable-gradients {
+        background: $value linear-gradient(180deg, mix($contrast-bg, $value, 15%), $value) repeat-x;
+      } @else {
+        background-color: $value;
+      }
+    }
+  }
+}
+
+// Tables ======================================================================
+
+table {
+  color: $contrast-bg;
+}
+
+.table {
+  &-primary {
+    &,
+    > th,
+    > td {
+      background-color: $primary;
+    }
+  }
+
+  &-secondary {
+    &,
+    > th,
+    > td {
+      background-color: $secondary;
+    }
+  }
+
+  &-light {
+    &,
+    > th,
+    > td {
+      background-color: $light;
+    }
+  }
+
+  &-dark {
+    &,
+    > th,
+    > td {
+      background-color: $dark;
+    }
+  }
+
+  &-success {
+    &,
+    > th,
+    > td {
+      background-color: $success;
+    }
+  }
+
+  &-info {
+    &,
+    > th,
+    > td {
+      background-color: $info;
+    }
+  }
+
+  &-danger {
+    &,
+    > th,
+    > td {
+      background-color: $danger;
+    }
+  }
+
+  &-warning {
+    &,
+    > th,
+    > td {
+      background-color: $warning;
+    }
+  }
+
+  &-active {
+    &,
+    > th,
+    > td {
+      background-color: $table-active-bg;
+    }
+  }
+
+  &-hover {
+    .table-primary:hover {
+      &,
+      > th,
+      > td {
+        background-color: darken($primary, 5%);
+      }
+    }
+
+    .table-secondary:hover {
+      &,
+      > th,
+      > td {
+        background-color: darken($secondary, 5%);
+      }
+    }
+
+    .table-light:hover {
+      &,
+      > th,
+      > td {
+        background-color: darken($light, 5%);
+      }
+    }
+
+    .table-dark:hover {
+      &,
+      > th,
+      > td {
+        background-color: darken($dark, 5%);
+      }
+    }
+
+    .table-success:hover {
+      &,
+      > th,
+      > td {
+        background-color: darken($success, 5%);
+      }
+    }
+
+    .table-info:hover {
+      &,
+      > th,
+      > td {
+        background-color: darken($info, 5%);
+      }
+    }
+
+    .table-danger:hover {
+      &,
+      > th,
+      > td {
+        background-color: darken($danger, 5%);
+      }
+    }
+
+    .table-warning:hover {
+      &,
+      > th,
+      > td {
+        background-color: darken($warning, 5%);
+      }
+    }
+
+    .table-active:hover {
+      &,
+      > th,
+      > td {
+        background-color: $table-active-bg;
+      }
+    }
+
+  }
+}
+
+// Forms =======================================================================
+
+legend {
+  color: $contrast-bg;
+}
+
+.form-control {
+  background-clip: border-box;
+
+  &:disabled,
+  &[readonly] {
+    border-color: transparent;
+  }
+}
+
+// Navs ========================================================================
+
+.nav-tabs,
+.nav-pills {
+  .nav-link {
+    color: $contrast-bg;
+
+    &:hover {
+      background-color: body-mix(50%);
+    }
+
+    &.disabled,
+    &.disabled:hover {
+      background-color: transparent;
+      color: $nav-link-disabled-color;
+    }
+
+    &.active {
+      background-color: $primary;
+    }
+  }
+}
+
+.breadcrumb {
+  a {
+    color: $contrast-bg;
+  }
+}
+
+.pagination {
+  a:hover {
+    text-decoration: none;
+  }
+}
+
+// Indicators ==================================================================
+
+.alert {
+  border: none;
+  color: $contrast-bg;
+
+  a,
+  .alert-link {
+    color: $contrast-bg;
+    text-decoration: underline;
+  }
+
+  @each $color, $value in $theme-colors {
+    &-#{$color} {
+      @if $enable-gradients {
+        background: $value linear-gradient(180deg, mix($contrast-bg, $value, 15%), $value) repeat-x;
+      } @else {
+        background-color: $value;
+      }
+    }
+  }
+}
+
+.badge {
+  &-warning {
+    color: $contrast-bg;
+  }
+}
+
+.close {
+  opacity: .6;
+
+  &:hover {
+    opacity: 1;
+  }
+}
+
+// Containers ==================================================================
+
+.list-group-item {
+  &:hover {
+    background-color: body-mix(50%);
+    color: $contrast-bg;
+  }
+
+  &-action {
+    color: body-mix(16%);
+
+    .list-group-item-heading {
+      color: body-mix(16%);
+    }
+  }
+
+  &:hover .list-group-item-heading {
+    color: $contrast-bg;
+  }
+}
+
+.card,
+.list-group-item {
+  h1,
+  h2,
+  h3,
+  h4,
+  h5,
+  h6 {
+    color: inherit;
+  }
+}
+
+.popover {
+  &-title {
+    border-bottom: none;
+  }
+}
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.macosx/res/macosx/library/bslib/components/layout_column_wrap.scss
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.macosx/res/macosx/library/bslib/components/layout_column_wrap.scss	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.macosx/res/macosx/library/bslib/components/layout_column_wrap.scss	(revision 3761)
@@ -0,0 +1,17 @@
+.bslib-column-wrap {
+  display: grid !important;
+  gap: $spacer;
+  height: var(--bslib-column-wrap-height);
+  // Vanilla Bootstrap doesn't have a margin-bottom, but bslib's
+  // does (as long as it appears outside of a grid)
+  .card {
+    margin-bottom: 0;
+  }
+}
+
+@include media-breakpoint-down(sm) {
+  .bslib-column-wrap {
+    grid-template-columns: 1fr !important;
+    height: var(--bslib-column-wrap-height-mobile);
+  }
+}
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.macosx/res/macosx/library/bslib/components/value_box.scss
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.macosx/res/macosx/library/bslib/components/value_box.scss	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.macosx/res/macosx/library/bslib/components/value_box.scss	(revision 3761)
@@ -0,0 +1,65 @@
+.bslib-value-box {
+
+  .value-box-grid {
+    grid-template-columns: var(--bslib-value-box-widths);
+  }
+
+  // Should also be .vfill-container/.vfill-item
+  .value-box-showcase {
+    align-items: center;
+    justify-content: center;
+    margin-top: auto;
+    margin-bottom: auto;
+    padding: 1rem;
+
+    .bi, .fa { opacity: .85; }
+    .bi { font-size: 5rem; }
+    .fa { font-size: 4rem; }
+
+    max-height: var(--bslib-value-box-max-height);
+
+    &.showcase-top-right {
+      align-items: end;
+      padding-left: 0;
+      padding-bottom: 0;
+    }
+  }
+
+  // Should also be .vfill-container/.vfill-item
+  .value-box-area {
+    justify-content: center;
+    padding: 1.5rem 1rem;
+    font-size: .9rem;
+    font-weight: 500;
+    * {
+      color: inherit;
+      margin-bottom: 0;
+      margin-top: 0;
+    }
+    &.border-start {
+      border-color: rgba($border-color, 0.3) !important;
+    }
+  }
+
+  &.bslib-full-screen {
+    .value-box-grid {
+      grid-template-columns: var(--bslib-value-box-widths-full-screen);
+    }
+    .value-box-showcase {
+      max-height: var(--bslib-value-box-max-height-full-screen);
+    }
+  }
+
+  &:not(.bslib-full-screen) {
+    .value-box-showcase.showcase-top-right {
+      margin-top: 0;
+    }
+  }
+}
+
+// Override layout_inline_grid()'s preference to collapse to full-width on mobile (inside the value box)
+@include media-breakpoint-down(sm) {
+  .bslib-value-box .value-box-grid {
+    grid-template-columns: var(--bslib-value-box-widths) !important;
+  }
+}
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.macosx/res/macosx/library/bslib/components/tag-require.js
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.macosx/res/macosx/library/bslib/components/tag-require.js	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.macosx/res/macosx/library/bslib/components/tag-require.js	(revision 3761)
@@ -0,0 +1,14 @@
+window.addEventListener('DOMContentLoaded', function(e) {
+  const nodes = document.querySelectorAll('[data-require-bs-version]');
+  if (!nodes) {
+    return;
+  }
+  const VERSION = window.bootstrap ? parseInt(window.bootstrap.Tab.VERSION) : 3;
+  for (let i = 0; i < nodes.length; i++) {
+    const version = nodes[i].getAttribute('data-require-bs-version');
+    const caller = nodes[i].getAttribute('data-require-bs-caller');
+    if (version > VERSION) {
+      console.error(`${caller} requires Bootstrap version ${version} but this page is using version ${VERSION}`);
+    }
+  }
+});
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.macosx/res/macosx/library/bslib/components/card-full-screen.js
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.macosx/res/macosx/library/bslib/components/card-full-screen.js	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.macosx/res/macosx/library/bslib/components/card-full-screen.js	(revision 3761)
@@ -0,0 +1,23 @@
+$(document).on('click', '.bslib-full-screen-enter', function(e) {
+  const $card = $(e.target).parents('.card').last();
+  // Re-size/position the card (and add an overlay behind it)
+  $card.addClass("bslib-full-screen");
+  const overlay = $("<div id='bslib-full-screen-overlay'><a class='bslib-full-screen-exit'>Close <svg width:'20' height='20' fill='currentColor' class='bi bi-x-lg' viewBox='0 0 16 16'><path d='M2.146 2.854a.5.5 0 1 1 .708-.708L8 7.293l5.146-5.147a.5.5 0 0 1 .708.708L8.707 8l5.147 5.146a.5.5 0 0 1-.708.708L8 8.707l-5.146 5.147a.5.5 0 0 1-.708-.708L7.293 8 2.146 2.854Z'/></svg></a></div>");
+  $card[0].insertAdjacentElement("beforebegin", overlay[0]);
+});
+
+$(document).on('click', '.bslib-full-screen-exit', function(e) {
+  exitFullScreen();
+});
+
+document.addEventListener('keyup', function(e) {
+  if (e.key === 'Escape') exitFullScreen();
+}, false);
+
+function exitFullScreen() {
+  const $card = $('.bslib-full-screen');
+  if ($card) {
+    $('#bslib-full-screen-overlay').remove();
+    $card.removeClass('bslib-full-screen');
+  }
+}
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.macosx/res/macosx/library/bslib/components/card.scss
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.macosx/res/macosx/library/bslib/components/card.scss	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.macosx/res/macosx/library/bslib/components/card.scss	(revision 3761)
@@ -0,0 +1,148 @@
+.bslib-card {
+  margin-bottom: $spacer;
+
+  // Avoid "double padding" when two card_body()s are immediate siblings
+  .card-body + .card-body {
+    padding-top: 0;
+  }
+
+  .card-body {
+    overflow: auto;
+    p, h1, h2, h3, h4, h5, h6 {
+      margin-top: 0;
+
+      &:last-child {
+        margin-bottom: 0;
+      }
+    }
+  }
+
+  .card-body {
+    max-height: var(--bslib-card-body-max-height, none);
+  }
+
+  &.bslib-full-screen > .card-body {
+    max-height: var(--bslib-card-body-max-height-full-screen, none);
+  }
+
+  .card-header {
+    .form-group {
+      margin-bottom: 0;
+    }
+    .selectize-control {
+      margin-bottom: 0;
+      // TODO: we should probably add this to selectize's SCSS since this actually makes selectInput()
+      // usable with width="fit-content"
+      .item {
+        margin-right: 1.15rem;
+      }
+    }
+  }
+
+  .card-footer {
+    margin-top: auto;
+  }
+
+  // For card_title()
+  .bslib-card-title {
+    padding-left: var(--bs-card-spacer-x, 1rem);
+    padding-right: var(--bs-card-spacer-x, 1rem);
+  }
+
+  // For navs_tab_card(title = ...)
+  .bslib-navs-card-title {
+    display: flex;
+    flex-wrap: wrap;
+    justify-content: space-between;
+    align-items: center;
+    .nav {
+      margin-left: auto;
+    }
+  }
+
+  .tab-content {
+    // Workaround for pkgdown's CSS to make tab-pane all a consistent height
+    // https://github.com/r-lib/pkgdown/blob/956f07/inst/BS5/assets/pkgdown.scss#L342-L355
+    > .tab-pane.html-fill-container {
+      display: none;
+    }
+
+    // Take precedence over Bootstrap's `display:block` rule
+    > .active.html-fill-container {
+      display: flex;
+    }
+
+    // Another workaround for pkgdown adding extra padding we didn't ask for
+    // https://github.com/r-lib/pkgdown/blob/956f07/inst/BS5/assets/pkgdown.scss#L335-L337
+    &.html-fill-container {
+      padding: 0;
+    }
+  }
+}
+
+
+
+/*************************************************
+* Full screen card logic
+*************************************************/
+
+.bslib-full-screen {
+  position: fixed;
+  inset: 3.5rem 1rem 1rem;
+  height: auto !important;
+  width: auto !important;
+  z-index: $zindex-popover;
+}
+
+.bslib-full-screen-enter {
+  display: none;
+  position: absolute;
+  bottom: 1px;
+  right: 3px;
+  margin: 0.5rem;
+  padding: 0.55rem !important;
+  font-size: .8rem;
+  cursor: pointer;
+  opacity: .6;
+  color: rgba(var(--bs-body-bg-rgb), 1);
+  &:hover {
+    opacity: 1;
+  }
+  z-index: $zindex-popover;
+}
+
+.card:hover:not(.bslib-full-screen) .bslib-full-screen-enter {
+  display: block;
+}
+
+// Only allow full_screen on desktop screens
+@include media-breakpoint-down(sm) {
+  .bslib-full-screen-enter { display: none !important; }
+}
+
+.bslib-full-screen-exit {
+  position: relative;
+  top: 1.35rem;
+  font-size: 0.9rem;
+  cursor: pointer;
+  text-decoration: none;
+  display: flex;
+  float: right;
+  margin-right: 2.15rem;
+  align-items: center;
+  color: rgba(var(--bs-body-bg-rgb), 0.8);
+  &:hover {
+    color: rgba(var(--bs-body-bg-rgb), 1);
+  }
+  svg {
+    margin-left: 0.5rem;
+    font-size: 1.5rem;
+  }
+}
+
+#bslib-full-screen-overlay {
+  position: fixed;
+  inset: 0;
+  background-color: rgba(var(--bs-body-color-rgb), 0.6);
+  z-index: $zindex-popover - 1;
+}
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/bin/exec/R
===================================================================
Cannot display: file marked as a binary type.
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Property changes on: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/bin/exec/R
___________________________________________________________________
Added: svn:mime-type
   + application/octet-stream

Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/stringi/R/stringi.rdb
===================================================================
Cannot display: file marked as a binary type.
svn:mime-type = application/octet-stream

Property changes on: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/stringi/R/stringi.rdb
___________________________________________________________________
Added: svn:mime-type
   + application/octet-stream

Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/stringi/R/stringi.rdx
===================================================================
Cannot display: file marked as a binary type.
svn:mime-type = application/octet-stream

Property changes on: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/stringi/R/stringi.rdx
___________________________________________________________________
Added: svn:mime-type
   + application/octet-stream

Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/stringi/R/stringi
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/stringi/R/stringi	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/stringi/R/stringi	(revision 3761)
@@ -0,0 +1,27 @@
+#  File share/R/nspackloader.R
+#  Part of the R package, https://www.R-project.org
+#
+#  Copyright (C) 1995-2012 The R Core Team
+#
+#  This program is free software; you can redistribute it and/or modify
+#  it under the terms of the GNU General Public License as published by
+#  the Free Software Foundation; either version 2 of the License, or
+#  (at your option) any later version.
+#
+#  This program is distributed in the hope that it will be useful,
+#  but WITHOUT ANY WARRANTY; without even the implied warranty of
+#  MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
+#  GNU General Public License for more details.
+#
+#  A copy of the GNU General Public License is available at
+#  https://www.r-project.org/Licenses/
+
+local({
+    info <- loadingNamespaceInfo()
+    pkg <- info$pkgname
+    ns <- .getNamespace(as.name(pkg))
+    if (is.null(ns))
+        stop("cannot find namespace environment for ", pkg, domain = NA);
+    dbbase <- file.path(info$libname, pkg, "R", pkg)
+    lazyLoad(dbbase, ns, filter = function(n) n != ".__NAMESPACE__.")
+})
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/stringi/include/stringi.cpp
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/stringi/include/stringi.cpp	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/stringi/include/stringi.cpp	(revision 3761)
@@ -0,0 +1,1314 @@
+/* This file is part of the 'stringi' project.
+ * Copyright (c) 2013-2021, Marek Gagolewski <https://www.gagolewski.com>
+ * All rights reserved.
+ *
+ * Redistribution and use in source and binary forms, with or without
+ * modification, are permitted provided that the following conditions are met:
+ *
+ * 1. Redistributions of source code must retain the above copyright notice,
+ * this list of conditions and the following disclaimer.
+ *
+ * 2. Redistributions in binary form must reproduce the above copyright notice,
+ * this list of conditions and the following disclaimer in the documentation
+ * and/or other materials provided with the distribution.
+ *
+ * 3. Neither the name of the copyright holder nor the names of its
+ * contributors may be used to endorse or promote products derived from
+ * this software without specific prior written permission.
+ *
+ * THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS
+ * "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING,
+ * BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS
+ * FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT
+ * HOLDER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL,
+ * SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO,
+ * PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS;
+ * OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY,
+ * WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE
+ * OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE,
+ * EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
+ */
+
+#include <stringi.h>
+#include <R_ext/Rdynload.h>
+SEXP stri_cmp(SEXP e1, SEXP e2, SEXP e3) {
+      static SEXP(*fun)(SEXP,SEXP,SEXP) = NULL;
+      if (!fun)
+         fun = (SEXP(*)(SEXP,SEXP,SEXP)) R_GetCCallable("stringi", "C_stri_cmp");
+      return fun(e1, e2, e3);
+   }
+
+SEXP stri_cmp_le(SEXP e1, SEXP e2, SEXP e3) {
+      static SEXP(*fun)(SEXP,SEXP,SEXP) = NULL;
+      if (!fun)
+         fun = (SEXP(*)(SEXP,SEXP,SEXP)) R_GetCCallable("stringi", "C_stri_cmp_le");
+      return fun(e1, e2, e3);
+   }
+
+SEXP stri_cmp_lt(SEXP e1, SEXP e2, SEXP e3) {
+      static SEXP(*fun)(SEXP,SEXP,SEXP) = NULL;
+      if (!fun)
+         fun = (SEXP(*)(SEXP,SEXP,SEXP)) R_GetCCallable("stringi", "C_stri_cmp_lt");
+      return fun(e1, e2, e3);
+   }
+
+SEXP stri_cmp_ge(SEXP e1, SEXP e2, SEXP e3) {
+      static SEXP(*fun)(SEXP,SEXP,SEXP) = NULL;
+      if (!fun)
+         fun = (SEXP(*)(SEXP,SEXP,SEXP)) R_GetCCallable("stringi", "C_stri_cmp_ge");
+      return fun(e1, e2, e3);
+   }
+
+SEXP stri_cmp_gt(SEXP e1, SEXP e2, SEXP e3) {
+      static SEXP(*fun)(SEXP,SEXP,SEXP) = NULL;
+      if (!fun)
+         fun = (SEXP(*)(SEXP,SEXP,SEXP)) R_GetCCallable("stringi", "C_stri_cmp_gt");
+      return fun(e1, e2, e3);
+   }
+
+SEXP stri_cmp_equiv(SEXP e1, SEXP e2, SEXP e3) {
+      static SEXP(*fun)(SEXP,SEXP,SEXP) = NULL;
+      if (!fun)
+         fun = (SEXP(*)(SEXP,SEXP,SEXP)) R_GetCCallable("stringi", "C_stri_cmp_equiv");
+      return fun(e1, e2, e3);
+   }
+
+SEXP stri_cmp_nequiv(SEXP e1, SEXP e2, SEXP e3) {
+      static SEXP(*fun)(SEXP,SEXP,SEXP) = NULL;
+      if (!fun)
+         fun = (SEXP(*)(SEXP,SEXP,SEXP)) R_GetCCallable("stringi", "C_stri_cmp_nequiv");
+      return fun(e1, e2, e3);
+   }
+
+SEXP stri_cmp_eq(SEXP e1, SEXP e2) {
+      static SEXP(*fun)(SEXP,SEXP) = NULL;
+      if (!fun)
+         fun = (SEXP(*)(SEXP,SEXP)) R_GetCCallable("stringi", "C_stri_cmp_eq");
+      return fun(e1, e2);
+   }
+
+SEXP stri_cmp_neq(SEXP e1, SEXP e2) {
+      static SEXP(*fun)(SEXP,SEXP) = NULL;
+      if (!fun)
+         fun = (SEXP(*)(SEXP,SEXP)) R_GetCCallable("stringi", "C_stri_cmp_neq");
+      return fun(e1, e2);
+   }
+
+SEXP stri_sort(SEXP e1, SEXP e2, SEXP e3, SEXP e4) {
+      static SEXP(*fun)(SEXP,SEXP,SEXP,SEXP) = NULL;
+      if (!fun)
+         fun = (SEXP(*)(SEXP,SEXP,SEXP,SEXP)) R_GetCCallable("stringi", "C_stri_sort");
+      return fun(e1, e2, e3, e4);
+   }
+
+SEXP stri_rank(SEXP e1, SEXP e2) {
+      static SEXP(*fun)(SEXP,SEXP) = NULL;
+      if (!fun)
+         fun = (SEXP(*)(SEXP,SEXP)) R_GetCCallable("stringi", "C_stri_rank");
+      return fun(e1, e2);
+   }
+
+SEXP stri_order(SEXP e1, SEXP e2, SEXP e3, SEXP e4) {
+      static SEXP(*fun)(SEXP,SEXP,SEXP,SEXP) = NULL;
+      if (!fun)
+         fun = (SEXP(*)(SEXP,SEXP,SEXP,SEXP)) R_GetCCallable("stringi", "C_stri_order");
+      return fun(e1, e2, e3, e4);
+   }
+
+SEXP stri_sort_key(SEXP e1, SEXP e2) {
+      static SEXP(*fun)(SEXP,SEXP) = NULL;
+      if (!fun)
+         fun = (SEXP(*)(SEXP,SEXP)) R_GetCCallable("stringi", "C_stri_sort_key");
+      return fun(e1, e2);
+   }
+
+SEXP stri_unique(SEXP e1, SEXP e2) {
+      static SEXP(*fun)(SEXP,SEXP) = NULL;
+      if (!fun)
+         fun = (SEXP(*)(SEXP,SEXP)) R_GetCCallable("stringi", "C_stri_unique");
+      return fun(e1, e2);
+   }
+
+SEXP stri_duplicated(SEXP e1, SEXP e2, SEXP e3) {
+      static SEXP(*fun)(SEXP,SEXP,SEXP) = NULL;
+      if (!fun)
+         fun = (SEXP(*)(SEXP,SEXP,SEXP)) R_GetCCallable("stringi", "C_stri_duplicated");
+      return fun(e1, e2, e3);
+   }
+
+SEXP stri_duplicated_any(SEXP e1, SEXP e2, SEXP e3) {
+      static SEXP(*fun)(SEXP,SEXP,SEXP) = NULL;
+      if (!fun)
+         fun = (SEXP(*)(SEXP,SEXP,SEXP)) R_GetCCallable("stringi", "C_stri_duplicated_any");
+      return fun(e1, e2, e3);
+   }
+
+SEXP stri_info() {
+      static SEXP(*fun)() = NULL;
+      if (!fun)
+         fun = (SEXP(*)()) R_GetCCallable("stringi", "C_stri_info");
+      return fun();
+   }
+
+SEXP stri_escape_unicode(SEXP e1) {
+      static SEXP(*fun)(SEXP) = NULL;
+      if (!fun)
+         fun = (SEXP(*)(SEXP)) R_GetCCallable("stringi", "C_stri_escape_unicode");
+      return fun(e1);
+   }
+
+SEXP stri_unescape_unicode(SEXP e1) {
+      static SEXP(*fun)(SEXP) = NULL;
+      if (!fun)
+         fun = (SEXP(*)(SEXP)) R_GetCCallable("stringi", "C_stri_unescape_unicode");
+      return fun(e1);
+   }
+
+SEXP stri_flatten(SEXP e1, SEXP e2, SEXP e3, SEXP e4) {
+      static SEXP(*fun)(SEXP,SEXP,SEXP,SEXP) = NULL;
+      if (!fun)
+         fun = (SEXP(*)(SEXP,SEXP,SEXP,SEXP)) R_GetCCallable("stringi", "C_stri_flatten");
+      return fun(e1, e2, e3, e4);
+   }
+
+SEXP stri_join(SEXP e1, SEXP e2, SEXP e3, SEXP e4) {
+      static SEXP(*fun)(SEXP,SEXP,SEXP,SEXP) = NULL;
+      if (!fun)
+         fun = (SEXP(*)(SEXP,SEXP,SEXP,SEXP)) R_GetCCallable("stringi", "C_stri_join");
+      return fun(e1, e2, e3, e4);
+   }
+
+SEXP stri_join_list(SEXP e1, SEXP e2, SEXP e3) {
+      static SEXP(*fun)(SEXP,SEXP,SEXP) = NULL;
+      if (!fun)
+         fun = (SEXP(*)(SEXP,SEXP,SEXP)) R_GetCCallable("stringi", "C_stri_join_list");
+      return fun(e1, e2, e3);
+   }
+
+SEXP stri_join2(SEXP e1, SEXP e2) {
+      static SEXP(*fun)(SEXP,SEXP) = NULL;
+      if (!fun)
+         fun = (SEXP(*)(SEXP,SEXP)) R_GetCCallable("stringi", "C_stri_join2");
+      return fun(e1, e2);
+   }
+
+SEXP stri_dup(SEXP e1, SEXP e2) {
+      static SEXP(*fun)(SEXP,SEXP) = NULL;
+      if (!fun)
+         fun = (SEXP(*)(SEXP,SEXP)) R_GetCCallable("stringi", "C_stri_dup");
+      return fun(e1, e2);
+   }
+
+SEXP stri_numbytes(SEXP e1) {
+      static SEXP(*fun)(SEXP) = NULL;
+      if (!fun)
+         fun = (SEXP(*)(SEXP)) R_GetCCallable("stringi", "C_stri_numbytes");
+      return fun(e1);
+   }
+
+SEXP stri_length(SEXP e1) {
+      static SEXP(*fun)(SEXP) = NULL;
+      if (!fun)
+         fun = (SEXP(*)(SEXP)) R_GetCCallable("stringi", "C_stri_length");
+      return fun(e1);
+   }
+
+SEXP stri_isempty(SEXP e1) {
+      static SEXP(*fun)(SEXP) = NULL;
+      if (!fun)
+         fun = (SEXP(*)(SEXP)) R_GetCCallable("stringi", "C_stri_isempty");
+      return fun(e1);
+   }
+
+SEXP stri_width(SEXP e1) {
+      static SEXP(*fun)(SEXP) = NULL;
+      if (!fun)
+         fun = (SEXP(*)(SEXP)) R_GetCCallable("stringi", "C_stri_width");
+      return fun(e1);
+   }
+
+SEXP stri_reverse(SEXP e1) {
+      static SEXP(*fun)(SEXP) = NULL;
+      if (!fun)
+         fun = (SEXP(*)(SEXP)) R_GetCCallable("stringi", "C_stri_reverse");
+      return fun(e1);
+   }
+
+SEXP stri_sub(SEXP e1, SEXP e2, SEXP e3, SEXP e4, SEXP e5, SEXP e6) {
+      static SEXP(*fun)(SEXP,SEXP,SEXP,SEXP,SEXP,SEXP) = NULL;
+      if (!fun)
+         fun = (SEXP(*)(SEXP,SEXP,SEXP,SEXP,SEXP,SEXP)) R_GetCCallable("stringi", "C_stri_sub");
+      return fun(e1, e2, e3, e4, e5, e6);
+   }
+
+SEXP stri_sub_replacement(SEXP e1, SEXP e2, SEXP e3, SEXP e4, SEXP e5, SEXP e6, SEXP e7) {
+      static SEXP(*fun)(SEXP,SEXP,SEXP,SEXP,SEXP,SEXP,SEXP) = NULL;
+      if (!fun)
+         fun = (SEXP(*)(SEXP,SEXP,SEXP,SEXP,SEXP,SEXP,SEXP)) R_GetCCallable("stringi", "C_stri_sub_replacement");
+      return fun(e1, e2, e3, e4, e5, e6, e7);
+   }
+
+SEXP stri_sub_all(SEXP e1, SEXP e2, SEXP e3, SEXP e4, SEXP e5, SEXP e6) {
+      static SEXP(*fun)(SEXP,SEXP,SEXP,SEXP,SEXP,SEXP) = NULL;
+      if (!fun)
+         fun = (SEXP(*)(SEXP,SEXP,SEXP,SEXP,SEXP,SEXP)) R_GetCCallable("stringi", "C_stri_sub_all");
+      return fun(e1, e2, e3, e4, e5, e6);
+   }
+
+SEXP stri_sub_replacement_all(SEXP e1, SEXP e2, SEXP e3, SEXP e4, SEXP e5, SEXP e6, SEXP e7) {
+      static SEXP(*fun)(SEXP,SEXP,SEXP,SEXP,SEXP,SEXP,SEXP) = NULL;
+      if (!fun)
+         fun = (SEXP(*)(SEXP,SEXP,SEXP,SEXP,SEXP,SEXP,SEXP)) R_GetCCallable("stringi", "C_stri_sub_replacement_all");
+      return fun(e1, e2, e3, e4, e5, e6, e7);
+   }
+
+SEXP stri_enc_list() {
+      static SEXP(*fun)() = NULL;
+      if (!fun)
+         fun = (SEXP(*)()) R_GetCCallable("stringi", "C_stri_enc_list");
+      return fun();
+   }
+
+SEXP stri_enc_info(SEXP e1) {
+      static SEXP(*fun)(SEXP) = NULL;
+      if (!fun)
+         fun = (SEXP(*)(SEXP)) R_GetCCallable("stringi", "C_stri_enc_info");
+      return fun(e1);
+   }
+
+SEXP stri_enc_set(SEXP e1) {
+      static SEXP(*fun)(SEXP) = NULL;
+      if (!fun)
+         fun = (SEXP(*)(SEXP)) R_GetCCallable("stringi", "C_stri_enc_set");
+      return fun(e1);
+   }
+
+SEXP stri_enc_mark(SEXP e1) {
+      static SEXP(*fun)(SEXP) = NULL;
+      if (!fun)
+         fun = (SEXP(*)(SEXP)) R_GetCCallable("stringi", "C_stri_enc_mark");
+      return fun(e1);
+   }
+
+SEXP stri_locale_info(SEXP e1) {
+      static SEXP(*fun)(SEXP) = NULL;
+      if (!fun)
+         fun = (SEXP(*)(SEXP)) R_GetCCallable("stringi", "C_stri_locale_info");
+      return fun(e1);
+   }
+
+SEXP stri_locale_list() {
+      static SEXP(*fun)() = NULL;
+      if (!fun)
+         fun = (SEXP(*)()) R_GetCCallable("stringi", "C_stri_locale_list");
+      return fun();
+   }
+
+SEXP stri_locale_set(SEXP e1) {
+      static SEXP(*fun)(SEXP) = NULL;
+      if (!fun)
+         fun = (SEXP(*)(SEXP)) R_GetCCallable("stringi", "C_stri_locale_set");
+      return fun(e1);
+   }
+
+SEXP stri_trim_both(SEXP e1, SEXP e2, SEXP e3) {
+      static SEXP(*fun)(SEXP,SEXP,SEXP) = NULL;
+      if (!fun)
+         fun = (SEXP(*)(SEXP,SEXP,SEXP)) R_GetCCallable("stringi", "C_stri_trim_both");
+      return fun(e1, e2, e3);
+   }
+
+SEXP stri_trim_left(SEXP e1, SEXP e2, SEXP e3) {
+      static SEXP(*fun)(SEXP,SEXP,SEXP) = NULL;
+      if (!fun)
+         fun = (SEXP(*)(SEXP,SEXP,SEXP)) R_GetCCallable("stringi", "C_stri_trim_left");
+      return fun(e1, e2, e3);
+   }
+
+SEXP stri_trim_right(SEXP e1, SEXP e2, SEXP e3) {
+      static SEXP(*fun)(SEXP,SEXP,SEXP) = NULL;
+      if (!fun)
+         fun = (SEXP(*)(SEXP,SEXP,SEXP)) R_GetCCallable("stringi", "C_stri_trim_right");
+      return fun(e1, e2, e3);
+   }
+
+SEXP stri_rand_shuffle(SEXP e1) {
+      static SEXP(*fun)(SEXP) = NULL;
+      if (!fun)
+         fun = (SEXP(*)(SEXP)) R_GetCCallable("stringi", "C_stri_rand_shuffle");
+      return fun(e1);
+   }
+
+SEXP stri_rand_strings(SEXP e1, SEXP e2, SEXP e3) {
+      static SEXP(*fun)(SEXP,SEXP,SEXP) = NULL;
+      if (!fun)
+         fun = (SEXP(*)(SEXP,SEXP,SEXP)) R_GetCCallable("stringi", "C_stri_rand_strings");
+      return fun(e1, e2, e3);
+   }
+
+SEXP stri_stats_general(SEXP e1) {
+      static SEXP(*fun)(SEXP) = NULL;
+      if (!fun)
+         fun = (SEXP(*)(SEXP)) R_GetCCallable("stringi", "C_stri_stats_general");
+      return fun(e1);
+   }
+
+SEXP stri_stats_latex(SEXP e1) {
+      static SEXP(*fun)(SEXP) = NULL;
+      if (!fun)
+         fun = (SEXP(*)(SEXP)) R_GetCCallable("stringi", "C_stri_stats_latex");
+      return fun(e1);
+   }
+
+SEXP stri_trans_list() {
+      static SEXP(*fun)() = NULL;
+      if (!fun)
+         fun = (SEXP(*)()) R_GetCCallable("stringi", "C_stri_trans_list");
+      return fun();
+   }
+
+SEXP stri_trans_general(SEXP e1, SEXP e2, SEXP e3, SEXP e4) {
+      static SEXP(*fun)(SEXP,SEXP,SEXP,SEXP) = NULL;
+      if (!fun)
+         fun = (SEXP(*)(SEXP,SEXP,SEXP,SEXP)) R_GetCCallable("stringi", "C_stri_trans_general");
+      return fun(e1, e2, e3, e4);
+   }
+
+SEXP stri_list2matrix(SEXP e1, SEXP e2, SEXP e3, SEXP e4) {
+      static SEXP(*fun)(SEXP,SEXP,SEXP,SEXP) = NULL;
+      if (!fun)
+         fun = (SEXP(*)(SEXP,SEXP,SEXP,SEXP)) R_GetCCallable("stringi", "C_stri_list2matrix");
+      return fun(e1, e2, e3, e4);
+   }
+
+SEXP stri_encode(SEXP e1, SEXP e2, SEXP e3, SEXP e4) {
+      static SEXP(*fun)(SEXP,SEXP,SEXP,SEXP) = NULL;
+      if (!fun)
+         fun = (SEXP(*)(SEXP,SEXP,SEXP,SEXP)) R_GetCCallable("stringi", "C_stri_encode");
+      return fun(e1, e2, e3, e4);
+   }
+
+SEXP stri_enc_fromutf32(SEXP e1) {
+      static SEXP(*fun)(SEXP) = NULL;
+      if (!fun)
+         fun = (SEXP(*)(SEXP)) R_GetCCallable("stringi", "C_stri_enc_fromutf32");
+      return fun(e1);
+   }
+
+SEXP stri_enc_toutf32(SEXP e1) {
+      static SEXP(*fun)(SEXP) = NULL;
+      if (!fun)
+         fun = (SEXP(*)(SEXP)) R_GetCCallable("stringi", "C_stri_enc_toutf32");
+      return fun(e1);
+   }
+
+SEXP stri_enc_toutf8(SEXP e1, SEXP e2, SEXP e3) {
+      static SEXP(*fun)(SEXP,SEXP,SEXP) = NULL;
+      if (!fun)
+         fun = (SEXP(*)(SEXP,SEXP,SEXP)) R_GetCCallable("stringi", "C_stri_enc_toutf8");
+      return fun(e1, e2, e3);
+   }
+
+SEXP stri_enc_toascii(SEXP e1) {
+      static SEXP(*fun)(SEXP) = NULL;
+      if (!fun)
+         fun = (SEXP(*)(SEXP)) R_GetCCallable("stringi", "C_stri_enc_toascii");
+      return fun(e1);
+   }
+
+SEXP stri_enc_detect2(SEXP e1, SEXP e2) {
+      static SEXP(*fun)(SEXP,SEXP) = NULL;
+      if (!fun)
+         fun = (SEXP(*)(SEXP,SEXP)) R_GetCCallable("stringi", "C_stri_enc_detect2");
+      return fun(e1, e2);
+   }
+
+SEXP stri_enc_detect(SEXP e1, SEXP e2) {
+      static SEXP(*fun)(SEXP,SEXP) = NULL;
+      if (!fun)
+         fun = (SEXP(*)(SEXP,SEXP)) R_GetCCallable("stringi", "C_stri_enc_detect");
+      return fun(e1, e2);
+   }
+
+SEXP stri_enc_isascii(SEXP e1) {
+      static SEXP(*fun)(SEXP) = NULL;
+      if (!fun)
+         fun = (SEXP(*)(SEXP)) R_GetCCallable("stringi", "C_stri_enc_isascii");
+      return fun(e1);
+   }
+
+SEXP stri_enc_isutf8(SEXP e1) {
+      static SEXP(*fun)(SEXP) = NULL;
+      if (!fun)
+         fun = (SEXP(*)(SEXP)) R_GetCCallable("stringi", "C_stri_enc_isutf8");
+      return fun(e1);
+   }
+
+SEXP stri_enc_isutf16le(SEXP e1) {
+      static SEXP(*fun)(SEXP) = NULL;
+      if (!fun)
+         fun = (SEXP(*)(SEXP)) R_GetCCallable("stringi", "C_stri_enc_isutf16le");
+      return fun(e1);
+   }
+
+SEXP stri_enc_isutf16be(SEXP e1) {
+      static SEXP(*fun)(SEXP) = NULL;
+      if (!fun)
+         fun = (SEXP(*)(SEXP)) R_GetCCallable("stringi", "C_stri_enc_isutf16be");
+      return fun(e1);
+   }
+
+SEXP stri_enc_isutf32le(SEXP e1) {
+      static SEXP(*fun)(SEXP) = NULL;
+      if (!fun)
+         fun = (SEXP(*)(SEXP)) R_GetCCallable("stringi", "C_stri_enc_isutf32le");
+      return fun(e1);
+   }
+
+SEXP stri_enc_isutf32be(SEXP e1) {
+      static SEXP(*fun)(SEXP) = NULL;
+      if (!fun)
+         fun = (SEXP(*)(SEXP)) R_GetCCallable("stringi", "C_stri_enc_isutf32be");
+      return fun(e1);
+   }
+
+SEXP stri_pad(SEXP e1, SEXP e2, SEXP e3, SEXP e4, SEXP e5) {
+      static SEXP(*fun)(SEXP,SEXP,SEXP,SEXP,SEXP) = NULL;
+      if (!fun)
+         fun = (SEXP(*)(SEXP,SEXP,SEXP,SEXP,SEXP)) R_GetCCallable("stringi", "C_stri_pad");
+      return fun(e1, e2, e3, e4, e5);
+   }
+
+SEXP stri_sprintf(SEXP e1, SEXP e2, SEXP e3, SEXP e4, SEXP e5, SEXP e6) {
+      static SEXP(*fun)(SEXP,SEXP,SEXP,SEXP,SEXP,SEXP) = NULL;
+      if (!fun)
+         fun = (SEXP(*)(SEXP,SEXP,SEXP,SEXP,SEXP,SEXP)) R_GetCCallable("stringi", "C_stri_sprintf");
+      return fun(e1, e2, e3, e4, e5, e6);
+   }
+
+SEXP stri_wrap(SEXP e1, SEXP e2, SEXP e3, SEXP e4, SEXP e5, SEXP e6, SEXP e7, SEXP e8, SEXP e9, SEXP e10) {
+      static SEXP(*fun)(SEXP,SEXP,SEXP,SEXP,SEXP,SEXP,SEXP,SEXP,SEXP,SEXP) = NULL;
+      if (!fun)
+         fun = (SEXP(*)(SEXP,SEXP,SEXP,SEXP,SEXP,SEXP,SEXP,SEXP,SEXP,SEXP)) R_GetCCallable("stringi", "C_stri_wrap");
+      return fun(e1, e2, e3, e4, e5, e6, e7, e8, e9, e10);
+   }
+
+SEXP stri_trans_char(SEXP e1, SEXP e2, SEXP e3) {
+      static SEXP(*fun)(SEXP,SEXP,SEXP) = NULL;
+      if (!fun)
+         fun = (SEXP(*)(SEXP,SEXP,SEXP)) R_GetCCallable("stringi", "C_stri_trans_char");
+      return fun(e1, e2, e3);
+   }
+
+SEXP stri_trans_totitle(SEXP e1, SEXP e2) {
+      static SEXP(*fun)(SEXP,SEXP) = NULL;
+      if (!fun)
+         fun = (SEXP(*)(SEXP,SEXP)) R_GetCCallable("stringi", "C_stri_trans_totitle");
+      return fun(e1, e2);
+   }
+
+SEXP stri_trans_tolower(SEXP e1, SEXP e2) {
+      static SEXP(*fun)(SEXP,SEXP) = NULL;
+      if (!fun)
+         fun = (SEXP(*)(SEXP,SEXP)) R_GetCCallable("stringi", "C_stri_trans_tolower");
+      return fun(e1, e2);
+   }
+
+SEXP stri_trans_toupper(SEXP e1, SEXP e2) {
+      static SEXP(*fun)(SEXP,SEXP) = NULL;
+      if (!fun)
+         fun = (SEXP(*)(SEXP,SEXP)) R_GetCCallable("stringi", "C_stri_trans_toupper");
+      return fun(e1, e2);
+   }
+
+SEXP stri_trans_casefold(SEXP e1) {
+      static SEXP(*fun)(SEXP) = NULL;
+      if (!fun)
+         fun = (SEXP(*)(SEXP)) R_GetCCallable("stringi", "C_stri_trans_casefold");
+      return fun(e1);
+   }
+
+SEXP stri_trans_nfc(SEXP e1) {
+      static SEXP(*fun)(SEXP) = NULL;
+      if (!fun)
+         fun = (SEXP(*)(SEXP)) R_GetCCallable("stringi", "C_stri_trans_nfc");
+      return fun(e1);
+   }
+
+SEXP stri_trans_nfd(SEXP e1) {
+      static SEXP(*fun)(SEXP) = NULL;
+      if (!fun)
+         fun = (SEXP(*)(SEXP)) R_GetCCallable("stringi", "C_stri_trans_nfd");
+      return fun(e1);
+   }
+
+SEXP stri_trans_nfkc(SEXP e1) {
+      static SEXP(*fun)(SEXP) = NULL;
+      if (!fun)
+         fun = (SEXP(*)(SEXP)) R_GetCCallable("stringi", "C_stri_trans_nfkc");
+      return fun(e1);
+   }
+
+SEXP stri_trans_nfkd(SEXP e1) {
+      static SEXP(*fun)(SEXP) = NULL;
+      if (!fun)
+         fun = (SEXP(*)(SEXP)) R_GetCCallable("stringi", "C_stri_trans_nfkd");
+      return fun(e1);
+   }
+
+SEXP stri_trans_nfkc_casefold(SEXP e1) {
+      static SEXP(*fun)(SEXP) = NULL;
+      if (!fun)
+         fun = (SEXP(*)(SEXP)) R_GetCCallable("stringi", "C_stri_trans_nfkc_casefold");
+      return fun(e1);
+   }
+
+SEXP stri_trans_isnfc(SEXP e1) {
+      static SEXP(*fun)(SEXP) = NULL;
+      if (!fun)
+         fun = (SEXP(*)(SEXP)) R_GetCCallable("stringi", "C_stri_trans_isnfc");
+      return fun(e1);
+   }
+
+SEXP stri_trans_isnfd(SEXP e1) {
+      static SEXP(*fun)(SEXP) = NULL;
+      if (!fun)
+         fun = (SEXP(*)(SEXP)) R_GetCCallable("stringi", "C_stri_trans_isnfd");
+      return fun(e1);
+   }
+
+SEXP stri_trans_isnfkc(SEXP e1) {
+      static SEXP(*fun)(SEXP) = NULL;
+      if (!fun)
+         fun = (SEXP(*)(SEXP)) R_GetCCallable("stringi", "C_stri_trans_isnfkc");
+      return fun(e1);
+   }
+
+SEXP stri_trans_isnfkd(SEXP e1) {
+      static SEXP(*fun)(SEXP) = NULL;
+      if (!fun)
+         fun = (SEXP(*)(SEXP)) R_GetCCallable("stringi", "C_stri_trans_isnfkd");
+      return fun(e1);
+   }
+
+SEXP stri_trans_isnfkc_casefold(SEXP e1) {
+      static SEXP(*fun)(SEXP) = NULL;
+      if (!fun)
+         fun = (SEXP(*)(SEXP)) R_GetCCallable("stringi", "C_stri_trans_isnfkc_casefold");
+      return fun(e1);
+   }
+
+SEXP stri_split_lines(SEXP e1, SEXP e2) {
+      static SEXP(*fun)(SEXP,SEXP) = NULL;
+      if (!fun)
+         fun = (SEXP(*)(SEXP,SEXP)) R_GetCCallable("stringi", "C_stri_split_lines");
+      return fun(e1, e2);
+   }
+
+SEXP stri_split_lines1(SEXP e1) {
+      static SEXP(*fun)(SEXP) = NULL;
+      if (!fun)
+         fun = (SEXP(*)(SEXP)) R_GetCCallable("stringi", "C_stri_split_lines1");
+      return fun(e1);
+   }
+
+SEXP stri_replace_na(SEXP e1, SEXP e2) {
+      static SEXP(*fun)(SEXP,SEXP) = NULL;
+      if (!fun)
+         fun = (SEXP(*)(SEXP,SEXP)) R_GetCCallable("stringi", "C_stri_replace_na");
+      return fun(e1, e2);
+   }
+
+SEXP stri_replace_rstr(SEXP e1) {
+      static SEXP(*fun)(SEXP) = NULL;
+      if (!fun)
+         fun = (SEXP(*)(SEXP)) R_GetCCallable("stringi", "C_stri_replace_rstr");
+      return fun(e1);
+   }
+
+SEXP stri_detect_coll(SEXP e1, SEXP e2, SEXP e3, SEXP e4, SEXP e5) {
+      static SEXP(*fun)(SEXP,SEXP,SEXP,SEXP,SEXP) = NULL;
+      if (!fun)
+         fun = (SEXP(*)(SEXP,SEXP,SEXP,SEXP,SEXP)) R_GetCCallable("stringi", "C_stri_detect_coll");
+      return fun(e1, e2, e3, e4, e5);
+   }
+
+SEXP stri_count_coll(SEXP e1, SEXP e2, SEXP e3) {
+      static SEXP(*fun)(SEXP,SEXP,SEXP) = NULL;
+      if (!fun)
+         fun = (SEXP(*)(SEXP,SEXP,SEXP)) R_GetCCallable("stringi", "C_stri_count_coll");
+      return fun(e1, e2, e3);
+   }
+
+SEXP stri_locate_all_coll(SEXP e1, SEXP e2, SEXP e3, SEXP e4, SEXP e5) {
+      static SEXP(*fun)(SEXP,SEXP,SEXP,SEXP,SEXP) = NULL;
+      if (!fun)
+         fun = (SEXP(*)(SEXP,SEXP,SEXP,SEXP,SEXP)) R_GetCCallable("stringi", "C_stri_locate_all_coll");
+      return fun(e1, e2, e3, e4, e5);
+   }
+
+SEXP stri_locate_first_coll(SEXP e1, SEXP e2, SEXP e3, SEXP e4) {
+      static SEXP(*fun)(SEXP,SEXP,SEXP,SEXP) = NULL;
+      if (!fun)
+         fun = (SEXP(*)(SEXP,SEXP,SEXP,SEXP)) R_GetCCallable("stringi", "C_stri_locate_first_coll");
+      return fun(e1, e2, e3, e4);
+   }
+
+SEXP stri_locate_last_coll(SEXP e1, SEXP e2, SEXP e3, SEXP e4) {
+      static SEXP(*fun)(SEXP,SEXP,SEXP,SEXP) = NULL;
+      if (!fun)
+         fun = (SEXP(*)(SEXP,SEXP,SEXP,SEXP)) R_GetCCallable("stringi", "C_stri_locate_last_coll");
+      return fun(e1, e2, e3, e4);
+   }
+
+SEXP stri_extract_first_coll(SEXP e1, SEXP e2, SEXP e3) {
+      static SEXP(*fun)(SEXP,SEXP,SEXP) = NULL;
+      if (!fun)
+         fun = (SEXP(*)(SEXP,SEXP,SEXP)) R_GetCCallable("stringi", "C_stri_extract_first_coll");
+      return fun(e1, e2, e3);
+   }
+
+SEXP stri_extract_last_coll(SEXP e1, SEXP e2, SEXP e3) {
+      static SEXP(*fun)(SEXP,SEXP,SEXP) = NULL;
+      if (!fun)
+         fun = (SEXP(*)(SEXP,SEXP,SEXP)) R_GetCCallable("stringi", "C_stri_extract_last_coll");
+      return fun(e1, e2, e3);
+   }
+
+SEXP stri_extract_all_coll(SEXP e1, SEXP e2, SEXP e3, SEXP e4, SEXP e5) {
+      static SEXP(*fun)(SEXP,SEXP,SEXP,SEXP,SEXP) = NULL;
+      if (!fun)
+         fun = (SEXP(*)(SEXP,SEXP,SEXP,SEXP,SEXP)) R_GetCCallable("stringi", "C_stri_extract_all_coll");
+      return fun(e1, e2, e3, e4, e5);
+   }
+
+SEXP stri_replace_all_coll(SEXP e1, SEXP e2, SEXP e3, SEXP e4, SEXP e5) {
+      static SEXP(*fun)(SEXP,SEXP,SEXP,SEXP,SEXP) = NULL;
+      if (!fun)
+         fun = (SEXP(*)(SEXP,SEXP,SEXP,SEXP,SEXP)) R_GetCCallable("stringi", "C_stri_replace_all_coll");
+      return fun(e1, e2, e3, e4, e5);
+   }
+
+SEXP stri_replace_first_coll(SEXP e1, SEXP e2, SEXP e3, SEXP e4) {
+      static SEXP(*fun)(SEXP,SEXP,SEXP,SEXP) = NULL;
+      if (!fun)
+         fun = (SEXP(*)(SEXP,SEXP,SEXP,SEXP)) R_GetCCallable("stringi", "C_stri_replace_first_coll");
+      return fun(e1, e2, e3, e4);
+   }
+
+SEXP stri_replace_last_coll(SEXP e1, SEXP e2, SEXP e3, SEXP e4) {
+      static SEXP(*fun)(SEXP,SEXP,SEXP,SEXP) = NULL;
+      if (!fun)
+         fun = (SEXP(*)(SEXP,SEXP,SEXP,SEXP)) R_GetCCallable("stringi", "C_stri_replace_last_coll");
+      return fun(e1, e2, e3, e4);
+   }
+
+SEXP stri_split_coll(SEXP e1, SEXP e2, SEXP e3, SEXP e4, SEXP e5, SEXP e6, SEXP e7) {
+      static SEXP(*fun)(SEXP,SEXP,SEXP,SEXP,SEXP,SEXP,SEXP) = NULL;
+      if (!fun)
+         fun = (SEXP(*)(SEXP,SEXP,SEXP,SEXP,SEXP,SEXP,SEXP)) R_GetCCallable("stringi", "C_stri_split_coll");
+      return fun(e1, e2, e3, e4, e5, e6, e7);
+   }
+
+SEXP stri_endswith_coll(SEXP e1, SEXP e2, SEXP e3, SEXP e4, SEXP e5) {
+      static SEXP(*fun)(SEXP,SEXP,SEXP,SEXP,SEXP) = NULL;
+      if (!fun)
+         fun = (SEXP(*)(SEXP,SEXP,SEXP,SEXP,SEXP)) R_GetCCallable("stringi", "C_stri_endswith_coll");
+      return fun(e1, e2, e3, e4, e5);
+   }
+
+SEXP stri_startswith_coll(SEXP e1, SEXP e2, SEXP e3, SEXP e4, SEXP e5) {
+      static SEXP(*fun)(SEXP,SEXP,SEXP,SEXP,SEXP) = NULL;
+      if (!fun)
+         fun = (SEXP(*)(SEXP,SEXP,SEXP,SEXP,SEXP)) R_GetCCallable("stringi", "C_stri_startswith_coll");
+      return fun(e1, e2, e3, e4, e5);
+   }
+
+SEXP stri_subset_coll(SEXP e1, SEXP e2, SEXP e3, SEXP e4, SEXP e5) {
+      static SEXP(*fun)(SEXP,SEXP,SEXP,SEXP,SEXP) = NULL;
+      if (!fun)
+         fun = (SEXP(*)(SEXP,SEXP,SEXP,SEXP,SEXP)) R_GetCCallable("stringi", "C_stri_subset_coll");
+      return fun(e1, e2, e3, e4, e5);
+   }
+
+SEXP stri_subset_coll_replacement(SEXP e1, SEXP e2, SEXP e3, SEXP e4, SEXP e5) {
+      static SEXP(*fun)(SEXP,SEXP,SEXP,SEXP,SEXP) = NULL;
+      if (!fun)
+         fun = (SEXP(*)(SEXP,SEXP,SEXP,SEXP,SEXP)) R_GetCCallable("stringi", "C_stri_subset_coll_replacement");
+      return fun(e1, e2, e3, e4, e5);
+   }
+
+SEXP stri_detect_fixed(SEXP e1, SEXP e2, SEXP e3, SEXP e4, SEXP e5) {
+      static SEXP(*fun)(SEXP,SEXP,SEXP,SEXP,SEXP) = NULL;
+      if (!fun)
+         fun = (SEXP(*)(SEXP,SEXP,SEXP,SEXP,SEXP)) R_GetCCallable("stringi", "C_stri_detect_fixed");
+      return fun(e1, e2, e3, e4, e5);
+   }
+
+SEXP stri_count_fixed(SEXP e1, SEXP e2, SEXP e3) {
+      static SEXP(*fun)(SEXP,SEXP,SEXP) = NULL;
+      if (!fun)
+         fun = (SEXP(*)(SEXP,SEXP,SEXP)) R_GetCCallable("stringi", "C_stri_count_fixed");
+      return fun(e1, e2, e3);
+   }
+
+SEXP stri_locate_all_fixed(SEXP e1, SEXP e2, SEXP e3, SEXP e4, SEXP e5) {
+      static SEXP(*fun)(SEXP,SEXP,SEXP,SEXP,SEXP) = NULL;
+      if (!fun)
+         fun = (SEXP(*)(SEXP,SEXP,SEXP,SEXP,SEXP)) R_GetCCallable("stringi", "C_stri_locate_all_fixed");
+      return fun(e1, e2, e3, e4, e5);
+   }
+
+SEXP stri_locate_first_fixed(SEXP e1, SEXP e2, SEXP e3, SEXP e4) {
+      static SEXP(*fun)(SEXP,SEXP,SEXP,SEXP) = NULL;
+      if (!fun)
+         fun = (SEXP(*)(SEXP,SEXP,SEXP,SEXP)) R_GetCCallable("stringi", "C_stri_locate_first_fixed");
+      return fun(e1, e2, e3, e4);
+   }
+
+SEXP stri_locate_last_fixed(SEXP e1, SEXP e2, SEXP e3, SEXP e4) {
+      static SEXP(*fun)(SEXP,SEXP,SEXP,SEXP) = NULL;
+      if (!fun)
+         fun = (SEXP(*)(SEXP,SEXP,SEXP,SEXP)) R_GetCCallable("stringi", "C_stri_locate_last_fixed");
+      return fun(e1, e2, e3, e4);
+   }
+
+SEXP stri_extract_first_fixed(SEXP e1, SEXP e2, SEXP e3) {
+      static SEXP(*fun)(SEXP,SEXP,SEXP) = NULL;
+      if (!fun)
+         fun = (SEXP(*)(SEXP,SEXP,SEXP)) R_GetCCallable("stringi", "C_stri_extract_first_fixed");
+      return fun(e1, e2, e3);
+   }
+
+SEXP stri_extract_last_fixed(SEXP e1, SEXP e2, SEXP e3) {
+      static SEXP(*fun)(SEXP,SEXP,SEXP) = NULL;
+      if (!fun)
+         fun = (SEXP(*)(SEXP,SEXP,SEXP)) R_GetCCallable("stringi", "C_stri_extract_last_fixed");
+      return fun(e1, e2, e3);
+   }
+
+SEXP stri_extract_all_fixed(SEXP e1, SEXP e2, SEXP e3, SEXP e4, SEXP e5) {
+      static SEXP(*fun)(SEXP,SEXP,SEXP,SEXP,SEXP) = NULL;
+      if (!fun)
+         fun = (SEXP(*)(SEXP,SEXP,SEXP,SEXP,SEXP)) R_GetCCallable("stringi", "C_stri_extract_all_fixed");
+      return fun(e1, e2, e3, e4, e5);
+   }
+
+SEXP stri_replace_all_fixed(SEXP e1, SEXP e2, SEXP e3, SEXP e4, SEXP e5) {
+      static SEXP(*fun)(SEXP,SEXP,SEXP,SEXP,SEXP) = NULL;
+      if (!fun)
+         fun = (SEXP(*)(SEXP,SEXP,SEXP,SEXP,SEXP)) R_GetCCallable("stringi", "C_stri_replace_all_fixed");
+      return fun(e1, e2, e3, e4, e5);
+   }
+
+SEXP stri_replace_first_fixed(SEXP e1, SEXP e2, SEXP e3, SEXP e4) {
+      static SEXP(*fun)(SEXP,SEXP,SEXP,SEXP) = NULL;
+      if (!fun)
+         fun = (SEXP(*)(SEXP,SEXP,SEXP,SEXP)) R_GetCCallable("stringi", "C_stri_replace_first_fixed");
+      return fun(e1, e2, e3, e4);
+   }
+
+SEXP stri_replace_last_fixed(SEXP e1, SEXP e2, SEXP e3, SEXP e4) {
+      static SEXP(*fun)(SEXP,SEXP,SEXP,SEXP) = NULL;
+      if (!fun)
+         fun = (SEXP(*)(SEXP,SEXP,SEXP,SEXP)) R_GetCCallable("stringi", "C_stri_replace_last_fixed");
+      return fun(e1, e2, e3, e4);
+   }
+
+SEXP stri_split_fixed(SEXP e1, SEXP e2, SEXP e3, SEXP e4, SEXP e5, SEXP e6, SEXP e7) {
+      static SEXP(*fun)(SEXP,SEXP,SEXP,SEXP,SEXP,SEXP,SEXP) = NULL;
+      if (!fun)
+         fun = (SEXP(*)(SEXP,SEXP,SEXP,SEXP,SEXP,SEXP,SEXP)) R_GetCCallable("stringi", "C_stri_split_fixed");
+      return fun(e1, e2, e3, e4, e5, e6, e7);
+   }
+
+SEXP stri_subset_fixed(SEXP e1, SEXP e2, SEXP e3, SEXP e4, SEXP e5) {
+      static SEXP(*fun)(SEXP,SEXP,SEXP,SEXP,SEXP) = NULL;
+      if (!fun)
+         fun = (SEXP(*)(SEXP,SEXP,SEXP,SEXP,SEXP)) R_GetCCallable("stringi", "C_stri_subset_fixed");
+      return fun(e1, e2, e3, e4, e5);
+   }
+
+SEXP stri_endswith_fixed(SEXP e1, SEXP e2, SEXP e3, SEXP e4, SEXP e5) {
+      static SEXP(*fun)(SEXP,SEXP,SEXP,SEXP,SEXP) = NULL;
+      if (!fun)
+         fun = (SEXP(*)(SEXP,SEXP,SEXP,SEXP,SEXP)) R_GetCCallable("stringi", "C_stri_endswith_fixed");
+      return fun(e1, e2, e3, e4, e5);
+   }
+
+SEXP stri_startswith_fixed(SEXP e1, SEXP e2, SEXP e3, SEXP e4, SEXP e5) {
+      static SEXP(*fun)(SEXP,SEXP,SEXP,SEXP,SEXP) = NULL;
+      if (!fun)
+         fun = (SEXP(*)(SEXP,SEXP,SEXP,SEXP,SEXP)) R_GetCCallable("stringi", "C_stri_startswith_fixed");
+      return fun(e1, e2, e3, e4, e5);
+   }
+
+SEXP stri_subset_fixed_replacement(SEXP e1, SEXP e2, SEXP e3, SEXP e4, SEXP e5) {
+      static SEXP(*fun)(SEXP,SEXP,SEXP,SEXP,SEXP) = NULL;
+      if (!fun)
+         fun = (SEXP(*)(SEXP,SEXP,SEXP,SEXP,SEXP)) R_GetCCallable("stringi", "C_stri_subset_fixed_replacement");
+      return fun(e1, e2, e3, e4, e5);
+   }
+
+SEXP stri_detect_regex(SEXP e1, SEXP e2, SEXP e3, SEXP e4, SEXP e5) {
+      static SEXP(*fun)(SEXP,SEXP,SEXP,SEXP,SEXP) = NULL;
+      if (!fun)
+         fun = (SEXP(*)(SEXP,SEXP,SEXP,SEXP,SEXP)) R_GetCCallable("stringi", "C_stri_detect_regex");
+      return fun(e1, e2, e3, e4, e5);
+   }
+
+SEXP stri_count_regex(SEXP e1, SEXP e2, SEXP e3) {
+      static SEXP(*fun)(SEXP,SEXP,SEXP) = NULL;
+      if (!fun)
+         fun = (SEXP(*)(SEXP,SEXP,SEXP)) R_GetCCallable("stringi", "C_stri_count_regex");
+      return fun(e1, e2, e3);
+   }
+
+SEXP stri_locate_all_regex(SEXP e1, SEXP e2, SEXP e3, SEXP e4, SEXP e5, SEXP e6) {
+      static SEXP(*fun)(SEXP,SEXP,SEXP,SEXP,SEXP,SEXP) = NULL;
+      if (!fun)
+         fun = (SEXP(*)(SEXP,SEXP,SEXP,SEXP,SEXP,SEXP)) R_GetCCallable("stringi", "C_stri_locate_all_regex");
+      return fun(e1, e2, e3, e4, e5, e6);
+   }
+
+SEXP stri_locate_first_regex(SEXP e1, SEXP e2, SEXP e3, SEXP e4, SEXP e5) {
+      static SEXP(*fun)(SEXP,SEXP,SEXP,SEXP,SEXP) = NULL;
+      if (!fun)
+         fun = (SEXP(*)(SEXP,SEXP,SEXP,SEXP,SEXP)) R_GetCCallable("stringi", "C_stri_locate_first_regex");
+      return fun(e1, e2, e3, e4, e5);
+   }
+
+SEXP stri_locate_last_regex(SEXP e1, SEXP e2, SEXP e3, SEXP e4, SEXP e5) {
+      static SEXP(*fun)(SEXP,SEXP,SEXP,SEXP,SEXP) = NULL;
+      if (!fun)
+         fun = (SEXP(*)(SEXP,SEXP,SEXP,SEXP,SEXP)) R_GetCCallable("stringi", "C_stri_locate_last_regex");
+      return fun(e1, e2, e3, e4, e5);
+   }
+
+SEXP stri_replace_all_regex(SEXP e1, SEXP e2, SEXP e3, SEXP e4, SEXP e5) {
+      static SEXP(*fun)(SEXP,SEXP,SEXP,SEXP,SEXP) = NULL;
+      if (!fun)
+         fun = (SEXP(*)(SEXP,SEXP,SEXP,SEXP,SEXP)) R_GetCCallable("stringi", "C_stri_replace_all_regex");
+      return fun(e1, e2, e3, e4, e5);
+   }
+
+SEXP stri_replace_first_regex(SEXP e1, SEXP e2, SEXP e3, SEXP e4) {
+      static SEXP(*fun)(SEXP,SEXP,SEXP,SEXP) = NULL;
+      if (!fun)
+         fun = (SEXP(*)(SEXP,SEXP,SEXP,SEXP)) R_GetCCallable("stringi", "C_stri_replace_first_regex");
+      return fun(e1, e2, e3, e4);
+   }
+
+SEXP stri_replace_last_regex(SEXP e1, SEXP e2, SEXP e3, SEXP e4) {
+      static SEXP(*fun)(SEXP,SEXP,SEXP,SEXP) = NULL;
+      if (!fun)
+         fun = (SEXP(*)(SEXP,SEXP,SEXP,SEXP)) R_GetCCallable("stringi", "C_stri_replace_last_regex");
+      return fun(e1, e2, e3, e4);
+   }
+
+SEXP stri_split_regex(SEXP e1, SEXP e2, SEXP e3, SEXP e4, SEXP e5, SEXP e6, SEXP e7) {
+      static SEXP(*fun)(SEXP,SEXP,SEXP,SEXP,SEXP,SEXP,SEXP) = NULL;
+      if (!fun)
+         fun = (SEXP(*)(SEXP,SEXP,SEXP,SEXP,SEXP,SEXP,SEXP)) R_GetCCallable("stringi", "C_stri_split_regex");
+      return fun(e1, e2, e3, e4, e5, e6, e7);
+   }
+
+SEXP stri_subset_regex(SEXP e1, SEXP e2, SEXP e3, SEXP e4, SEXP e5) {
+      static SEXP(*fun)(SEXP,SEXP,SEXP,SEXP,SEXP) = NULL;
+      if (!fun)
+         fun = (SEXP(*)(SEXP,SEXP,SEXP,SEXP,SEXP)) R_GetCCallable("stringi", "C_stri_subset_regex");
+      return fun(e1, e2, e3, e4, e5);
+   }
+
+SEXP stri_extract_first_regex(SEXP e1, SEXP e2, SEXP e3) {
+      static SEXP(*fun)(SEXP,SEXP,SEXP) = NULL;
+      if (!fun)
+         fun = (SEXP(*)(SEXP,SEXP,SEXP)) R_GetCCallable("stringi", "C_stri_extract_first_regex");
+      return fun(e1, e2, e3);
+   }
+
+SEXP stri_extract_last_regex(SEXP e1, SEXP e2, SEXP e3) {
+      static SEXP(*fun)(SEXP,SEXP,SEXP) = NULL;
+      if (!fun)
+         fun = (SEXP(*)(SEXP,SEXP,SEXP)) R_GetCCallable("stringi", "C_stri_extract_last_regex");
+      return fun(e1, e2, e3);
+   }
+
+SEXP stri_extract_all_regex(SEXP e1, SEXP e2, SEXP e3, SEXP e4, SEXP e5) {
+      static SEXP(*fun)(SEXP,SEXP,SEXP,SEXP,SEXP) = NULL;
+      if (!fun)
+         fun = (SEXP(*)(SEXP,SEXP,SEXP,SEXP,SEXP)) R_GetCCallable("stringi", "C_stri_extract_all_regex");
+      return fun(e1, e2, e3, e4, e5);
+   }
+
+SEXP stri_match_first_regex(SEXP e1, SEXP e2, SEXP e3, SEXP e4) {
+      static SEXP(*fun)(SEXP,SEXP,SEXP,SEXP) = NULL;
+      if (!fun)
+         fun = (SEXP(*)(SEXP,SEXP,SEXP,SEXP)) R_GetCCallable("stringi", "C_stri_match_first_regex");
+      return fun(e1, e2, e3, e4);
+   }
+
+SEXP stri_match_last_regex(SEXP e1, SEXP e2, SEXP e3, SEXP e4) {
+      static SEXP(*fun)(SEXP,SEXP,SEXP,SEXP) = NULL;
+      if (!fun)
+         fun = (SEXP(*)(SEXP,SEXP,SEXP,SEXP)) R_GetCCallable("stringi", "C_stri_match_last_regex");
+      return fun(e1, e2, e3, e4);
+   }
+
+SEXP stri_match_all_regex(SEXP e1, SEXP e2, SEXP e3, SEXP e4, SEXP e5) {
+      static SEXP(*fun)(SEXP,SEXP,SEXP,SEXP,SEXP) = NULL;
+      if (!fun)
+         fun = (SEXP(*)(SEXP,SEXP,SEXP,SEXP,SEXP)) R_GetCCallable("stringi", "C_stri_match_all_regex");
+      return fun(e1, e2, e3, e4, e5);
+   }
+
+SEXP stri_subset_regex_replacement(SEXP e1, SEXP e2, SEXP e3, SEXP e4, SEXP e5) {
+      static SEXP(*fun)(SEXP,SEXP,SEXP,SEXP,SEXP) = NULL;
+      if (!fun)
+         fun = (SEXP(*)(SEXP,SEXP,SEXP,SEXP,SEXP)) R_GetCCallable("stringi", "C_stri_subset_regex_replacement");
+      return fun(e1, e2, e3, e4, e5);
+   }
+
+SEXP stri_detect_charclass(SEXP e1, SEXP e2, SEXP e3, SEXP e4) {
+      static SEXP(*fun)(SEXP,SEXP,SEXP,SEXP) = NULL;
+      if (!fun)
+         fun = (SEXP(*)(SEXP,SEXP,SEXP,SEXP)) R_GetCCallable("stringi", "C_stri_detect_charclass");
+      return fun(e1, e2, e3, e4);
+   }
+
+SEXP stri_count_charclass(SEXP e1, SEXP e2) {
+      static SEXP(*fun)(SEXP,SEXP) = NULL;
+      if (!fun)
+         fun = (SEXP(*)(SEXP,SEXP)) R_GetCCallable("stringi", "C_stri_count_charclass");
+      return fun(e1, e2);
+   }
+
+SEXP stri_extract_first_charclass(SEXP e1, SEXP e2) {
+      static SEXP(*fun)(SEXP,SEXP) = NULL;
+      if (!fun)
+         fun = (SEXP(*)(SEXP,SEXP)) R_GetCCallable("stringi", "C_stri_extract_first_charclass");
+      return fun(e1, e2);
+   }
+
+SEXP stri_extract_last_charclass(SEXP e1, SEXP e2) {
+      static SEXP(*fun)(SEXP,SEXP) = NULL;
+      if (!fun)
+         fun = (SEXP(*)(SEXP,SEXP)) R_GetCCallable("stringi", "C_stri_extract_last_charclass");
+      return fun(e1, e2);
+   }
+
+SEXP stri_extract_all_charclass(SEXP e1, SEXP e2, SEXP e3, SEXP e4, SEXP e5) {
+      static SEXP(*fun)(SEXP,SEXP,SEXP,SEXP,SEXP) = NULL;
+      if (!fun)
+         fun = (SEXP(*)(SEXP,SEXP,SEXP,SEXP,SEXP)) R_GetCCallable("stringi", "C_stri_extract_all_charclass");
+      return fun(e1, e2, e3, e4, e5);
+   }
+
+SEXP stri_locate_first_charclass(SEXP e1, SEXP e2, SEXP e3) {
+      static SEXP(*fun)(SEXP,SEXP,SEXP) = NULL;
+      if (!fun)
+         fun = (SEXP(*)(SEXP,SEXP,SEXP)) R_GetCCallable("stringi", "C_stri_locate_first_charclass");
+      return fun(e1, e2, e3);
+   }
+
+SEXP stri_locate_last_charclass(SEXP e1, SEXP e2, SEXP e3) {
+      static SEXP(*fun)(SEXP,SEXP,SEXP) = NULL;
+      if (!fun)
+         fun = (SEXP(*)(SEXP,SEXP,SEXP)) R_GetCCallable("stringi", "C_stri_locate_last_charclass");
+      return fun(e1, e2, e3);
+   }
+
+SEXP stri_locate_all_charclass(SEXP e1, SEXP e2, SEXP e3, SEXP e4, SEXP e5) {
+      static SEXP(*fun)(SEXP,SEXP,SEXP,SEXP,SEXP) = NULL;
+      if (!fun)
+         fun = (SEXP(*)(SEXP,SEXP,SEXP,SEXP,SEXP)) R_GetCCallable("stringi", "C_stri_locate_all_charclass");
+      return fun(e1, e2, e3, e4, e5);
+   }
+
+SEXP stri_replace_last_charclass(SEXP e1, SEXP e2, SEXP e3) {
+      static SEXP(*fun)(SEXP,SEXP,SEXP) = NULL;
+      if (!fun)
+         fun = (SEXP(*)(SEXP,SEXP,SEXP)) R_GetCCallable("stringi", "C_stri_replace_last_charclass");
+      return fun(e1, e2, e3);
+   }
+
+SEXP stri_replace_first_charclass(SEXP e1, SEXP e2, SEXP e3) {
+      static SEXP(*fun)(SEXP,SEXP,SEXP) = NULL;
+      if (!fun)
+         fun = (SEXP(*)(SEXP,SEXP,SEXP)) R_GetCCallable("stringi", "C_stri_replace_first_charclass");
+      return fun(e1, e2, e3);
+   }
+
+SEXP stri_replace_all_charclass(SEXP e1, SEXP e2, SEXP e3, SEXP e4, SEXP e5) {
+      static SEXP(*fun)(SEXP,SEXP,SEXP,SEXP,SEXP) = NULL;
+      if (!fun)
+         fun = (SEXP(*)(SEXP,SEXP,SEXP,SEXP,SEXP)) R_GetCCallable("stringi", "C_stri_replace_all_charclass");
+      return fun(e1, e2, e3, e4, e5);
+   }
+
+SEXP stri_split_charclass(SEXP e1, SEXP e2, SEXP e3, SEXP e4, SEXP e5, SEXP e6) {
+      static SEXP(*fun)(SEXP,SEXP,SEXP,SEXP,SEXP,SEXP) = NULL;
+      if (!fun)
+         fun = (SEXP(*)(SEXP,SEXP,SEXP,SEXP,SEXP,SEXP)) R_GetCCallable("stringi", "C_stri_split_charclass");
+      return fun(e1, e2, e3, e4, e5, e6);
+   }
+
+SEXP stri_endswith_charclass(SEXP e1, SEXP e2, SEXP e3, SEXP e4) {
+      static SEXP(*fun)(SEXP,SEXP,SEXP,SEXP) = NULL;
+      if (!fun)
+         fun = (SEXP(*)(SEXP,SEXP,SEXP,SEXP)) R_GetCCallable("stringi", "C_stri_endswith_charclass");
+      return fun(e1, e2, e3, e4);
+   }
+
+SEXP stri_startswith_charclass(SEXP e1, SEXP e2, SEXP e3, SEXP e4) {
+      static SEXP(*fun)(SEXP,SEXP,SEXP,SEXP) = NULL;
+      if (!fun)
+         fun = (SEXP(*)(SEXP,SEXP,SEXP,SEXP)) R_GetCCallable("stringi", "C_stri_startswith_charclass");
+      return fun(e1, e2, e3, e4);
+   }
+
+SEXP stri_subset_charclass(SEXP e1, SEXP e2, SEXP e3, SEXP e4) {
+      static SEXP(*fun)(SEXP,SEXP,SEXP,SEXP) = NULL;
+      if (!fun)
+         fun = (SEXP(*)(SEXP,SEXP,SEXP,SEXP)) R_GetCCallable("stringi", "C_stri_subset_charclass");
+      return fun(e1, e2, e3, e4);
+   }
+
+SEXP stri_subset_charclass_replacement(SEXP e1, SEXP e2, SEXP e3, SEXP e4) {
+      static SEXP(*fun)(SEXP,SEXP,SEXP,SEXP) = NULL;
+      if (!fun)
+         fun = (SEXP(*)(SEXP,SEXP,SEXP,SEXP)) R_GetCCallable("stringi", "C_stri_subset_charclass_replacement");
+      return fun(e1, e2, e3, e4);
+   }
+
+SEXP stri_extract_all_boundaries(SEXP e1, SEXP e2, SEXP e3, SEXP e4) {
+      static SEXP(*fun)(SEXP,SEXP,SEXP,SEXP) = NULL;
+      if (!fun)
+         fun = (SEXP(*)(SEXP,SEXP,SEXP,SEXP)) R_GetCCallable("stringi", "C_stri_extract_all_boundaries");
+      return fun(e1, e2, e3, e4);
+   }
+
+SEXP stri_extract_first_boundaries(SEXP e1, SEXP e2) {
+      static SEXP(*fun)(SEXP,SEXP) = NULL;
+      if (!fun)
+         fun = (SEXP(*)(SEXP,SEXP)) R_GetCCallable("stringi", "C_stri_extract_first_boundaries");
+      return fun(e1, e2);
+   }
+
+SEXP stri_extract_last_boundaries(SEXP e1, SEXP e2) {
+      static SEXP(*fun)(SEXP,SEXP) = NULL;
+      if (!fun)
+         fun = (SEXP(*)(SEXP,SEXP)) R_GetCCallable("stringi", "C_stri_extract_last_boundaries");
+      return fun(e1, e2);
+   }
+
+SEXP stri_locate_all_boundaries(SEXP e1, SEXP e2, SEXP e3, SEXP e4) {
+      static SEXP(*fun)(SEXP,SEXP,SEXP,SEXP) = NULL;
+      if (!fun)
+         fun = (SEXP(*)(SEXP,SEXP,SEXP,SEXP)) R_GetCCallable("stringi", "C_stri_locate_all_boundaries");
+      return fun(e1, e2, e3, e4);
+   }
+
+SEXP stri_locate_first_boundaries(SEXP e1, SEXP e2, SEXP e3) {
+      static SEXP(*fun)(SEXP,SEXP,SEXP) = NULL;
+      if (!fun)
+         fun = (SEXP(*)(SEXP,SEXP,SEXP)) R_GetCCallable("stringi", "C_stri_locate_first_boundaries");
+      return fun(e1, e2, e3);
+   }
+
+SEXP stri_locate_last_boundaries(SEXP e1, SEXP e2, SEXP e3) {
+      static SEXP(*fun)(SEXP,SEXP,SEXP) = NULL;
+      if (!fun)
+         fun = (SEXP(*)(SEXP,SEXP,SEXP)) R_GetCCallable("stringi", "C_stri_locate_last_boundaries");
+      return fun(e1, e2, e3);
+   }
+
+SEXP stri_split_boundaries(SEXP e1, SEXP e2, SEXP e3, SEXP e4, SEXP e5) {
+      static SEXP(*fun)(SEXP,SEXP,SEXP,SEXP,SEXP) = NULL;
+      if (!fun)
+         fun = (SEXP(*)(SEXP,SEXP,SEXP,SEXP,SEXP)) R_GetCCallable("stringi", "C_stri_split_boundaries");
+      return fun(e1, e2, e3, e4, e5);
+   }
+
+SEXP stri_count_boundaries(SEXP e1, SEXP e2) {
+      static SEXP(*fun)(SEXP,SEXP) = NULL;
+      if (!fun)
+         fun = (SEXP(*)(SEXP,SEXP)) R_GetCCallable("stringi", "C_stri_count_boundaries");
+      return fun(e1, e2);
+   }
+
+SEXP stri_timezone_list(SEXP e1, SEXP e2) {
+      static SEXP(*fun)(SEXP,SEXP) = NULL;
+      if (!fun)
+         fun = (SEXP(*)(SEXP,SEXP)) R_GetCCallable("stringi", "C_stri_timezone_list");
+      return fun(e1, e2);
+   }
+
+SEXP stri_timezone_set(SEXP e1) {
+      static SEXP(*fun)(SEXP) = NULL;
+      if (!fun)
+         fun = (SEXP(*)(SEXP)) R_GetCCallable("stringi", "C_stri_timezone_set");
+      return fun(e1);
+   }
+
+SEXP stri_timezone_info(SEXP e1, SEXP e2, SEXP e3) {
+      static SEXP(*fun)(SEXP,SEXP,SEXP) = NULL;
+      if (!fun)
+         fun = (SEXP(*)(SEXP,SEXP,SEXP)) R_GetCCallable("stringi", "C_stri_timezone_info");
+      return fun(e1, e2, e3);
+   }
+
+SEXP stri_datetime_symbols(SEXP e1, SEXP e2, SEXP e3) {
+      static SEXP(*fun)(SEXP,SEXP,SEXP) = NULL;
+      if (!fun)
+         fun = (SEXP(*)(SEXP,SEXP,SEXP)) R_GetCCallable("stringi", "C_stri_datetime_symbols");
+      return fun(e1, e2, e3);
+   }
+
+SEXP stri_datetime_now() {
+      static SEXP(*fun)() = NULL;
+      if (!fun)
+         fun = (SEXP(*)()) R_GetCCallable("stringi", "C_stri_datetime_now");
+      return fun();
+   }
+
+SEXP stri_datetime_add(SEXP e1, SEXP e2, SEXP e3, SEXP e4, SEXP e5) {
+      static SEXP(*fun)(SEXP,SEXP,SEXP,SEXP,SEXP) = NULL;
+      if (!fun)
+         fun = (SEXP(*)(SEXP,SEXP,SEXP,SEXP,SEXP)) R_GetCCallable("stringi", "C_stri_datetime_add");
+      return fun(e1, e2, e3, e4, e5);
+   }
+
+SEXP stri_datetime_fields(SEXP e1, SEXP e2, SEXP e3) {
+      static SEXP(*fun)(SEXP,SEXP,SEXP) = NULL;
+      if (!fun)
+         fun = (SEXP(*)(SEXP,SEXP,SEXP)) R_GetCCallable("stringi", "C_stri_datetime_fields");
+      return fun(e1, e2, e3);
+   }
+
+SEXP stri_datetime_create(SEXP e1, SEXP e2, SEXP e3, SEXP e4, SEXP e5, SEXP e6, SEXP e7, SEXP e8, SEXP e9) {
+      static SEXP(*fun)(SEXP,SEXP,SEXP,SEXP,SEXP,SEXP,SEXP,SEXP,SEXP) = NULL;
+      if (!fun)
+         fun = (SEXP(*)(SEXP,SEXP,SEXP,SEXP,SEXP,SEXP,SEXP,SEXP,SEXP)) R_GetCCallable("stringi", "C_stri_datetime_create");
+      return fun(e1, e2, e3, e4, e5, e6, e7, e8, e9);
+   }
+
+SEXP stri_datetime_format(SEXP e1, SEXP e2, SEXP e3, SEXP e4) {
+      static SEXP(*fun)(SEXP,SEXP,SEXP,SEXP) = NULL;
+      if (!fun)
+         fun = (SEXP(*)(SEXP,SEXP,SEXP,SEXP)) R_GetCCallable("stringi", "C_stri_datetime_format");
+      return fun(e1, e2, e3, e4);
+   }
+
+SEXP stri_datetime_parse(SEXP e1, SEXP e2, SEXP e3, SEXP e4, SEXP e5) {
+      static SEXP(*fun)(SEXP,SEXP,SEXP,SEXP,SEXP) = NULL;
+      if (!fun)
+         fun = (SEXP(*)(SEXP,SEXP,SEXP,SEXP,SEXP)) R_GetCCallable("stringi", "C_stri_datetime_parse");
+      return fun(e1, e2, e3, e4, e5);
+   }
+
+SEXP stri_datetime_fstr(SEXP e1) {
+      static SEXP(*fun)(SEXP) = NULL;
+      if (!fun)
+         fun = (SEXP(*)(SEXP)) R_GetCCallable("stringi", "C_stri_datetime_fstr");
+      return fun(e1);
+   }
+
+SEXP stri_prepare_arg_string_1(SEXP e1, SEXP e2) {
+      static SEXP(*fun)(SEXP,SEXP) = NULL;
+      if (!fun)
+         fun = (SEXP(*)(SEXP,SEXP)) R_GetCCallable("stringi", "C_stri_prepare_arg_string_1");
+      return fun(e1, e2);
+   }
+
+SEXP stri_prepare_arg_double_1(SEXP e1, SEXP e2) {
+      static SEXP(*fun)(SEXP,SEXP) = NULL;
+      if (!fun)
+         fun = (SEXP(*)(SEXP,SEXP)) R_GetCCallable("stringi", "C_stri_prepare_arg_double_1");
+      return fun(e1, e2);
+   }
+
+SEXP stri_prepare_arg_integer_1(SEXP e1, SEXP e2) {
+      static SEXP(*fun)(SEXP,SEXP) = NULL;
+      if (!fun)
+         fun = (SEXP(*)(SEXP,SEXP)) R_GetCCallable("stringi", "C_stri_prepare_arg_integer_1");
+      return fun(e1, e2);
+   }
+
+SEXP stri_prepare_arg_logical_1(SEXP e1, SEXP e2) {
+      static SEXP(*fun)(SEXP,SEXP) = NULL;
+      if (!fun)
+         fun = (SEXP(*)(SEXP,SEXP)) R_GetCCallable("stringi", "C_stri_prepare_arg_logical_1");
+      return fun(e1, e2);
+   }
+
+SEXP stri_prepare_arg_string(SEXP e1, SEXP e2) {
+      static SEXP(*fun)(SEXP,SEXP) = NULL;
+      if (!fun)
+         fun = (SEXP(*)(SEXP,SEXP)) R_GetCCallable("stringi", "C_stri_prepare_arg_string");
+      return fun(e1, e2);
+   }
+
+SEXP stri_prepare_arg_double(SEXP e1, SEXP e2) {
+      static SEXP(*fun)(SEXP,SEXP) = NULL;
+      if (!fun)
+         fun = (SEXP(*)(SEXP,SEXP)) R_GetCCallable("stringi", "C_stri_prepare_arg_double");
+      return fun(e1, e2);
+   }
+
+SEXP stri_prepare_arg_integer(SEXP e1, SEXP e2) {
+      static SEXP(*fun)(SEXP,SEXP) = NULL;
+      if (!fun)
+         fun = (SEXP(*)(SEXP,SEXP)) R_GetCCallable("stringi", "C_stri_prepare_arg_integer");
+      return fun(e1, e2);
+   }
+
+SEXP stri_prepare_arg_logical(SEXP e1, SEXP e2) {
+      static SEXP(*fun)(SEXP,SEXP) = NULL;
+      if (!fun)
+         fun = (SEXP(*)(SEXP,SEXP)) R_GetCCallable("stringi", "C_stri_prepare_arg_logical");
+      return fun(e1, e2);
+   }
+
+SEXP stri_prepare_arg_raw(SEXP e1, SEXP e2) {
+      static SEXP(*fun)(SEXP,SEXP) = NULL;
+      if (!fun)
+         fun = (SEXP(*)(SEXP,SEXP)) R_GetCCallable("stringi", "C_stri_prepare_arg_raw");
+      return fun(e1, e2);
+   }
+
+SEXP stri_test_Rmark(SEXP e1) {
+      static SEXP(*fun)(SEXP) = NULL;
+      if (!fun)
+         fun = (SEXP(*)(SEXP)) R_GetCCallable("stringi", "C_stri_test_Rmark");
+      return fun(e1);
+   }
+
+SEXP stri_test_UnicodeContainer16(SEXP e1) {
+      static SEXP(*fun)(SEXP) = NULL;
+      if (!fun)
+         fun = (SEXP(*)(SEXP)) R_GetCCallable("stringi", "C_stri_test_UnicodeContainer16");
+      return fun(e1);
+   }
+
+SEXP stri_test_UnicodeContainer16b(SEXP e1) {
+      static SEXP(*fun)(SEXP) = NULL;
+      if (!fun)
+         fun = (SEXP(*)(SEXP)) R_GetCCallable("stringi", "C_stri_test_UnicodeContainer16b");
+      return fun(e1);
+   }
+
+SEXP stri_test_UnicodeContainer8(SEXP e1) {
+      static SEXP(*fun)(SEXP) = NULL;
+      if (!fun)
+         fun = (SEXP(*)(SEXP)) R_GetCCallable("stringi", "C_stri_test_UnicodeContainer8");
+      return fun(e1);
+   }
+
+SEXP stri_test_returnasis(SEXP e1) {
+      static SEXP(*fun)(SEXP) = NULL;
+      if (!fun)
+         fun = (SEXP(*)(SEXP)) R_GetCCallable("stringi", "C_stri_test_returnasis");
+      return fun(e1);
+   }
+
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/stringi/include/stringi.h
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/stringi/include/stringi.h	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/stringi/include/stringi.h	(revision 3761)
@@ -0,0 +1,453 @@
+/* This file is part of the 'stringi' project.
+ * Copyright (c) 2013-2021, Marek Gagolewski <https://www.gagolewski.com>
+ * All rights reserved.
+ *
+ * Redistribution and use in source and binary forms, with or without
+ * modification, are permitted provided that the following conditions are met:
+ *
+ * 1. Redistributions of source code must retain the above copyright notice,
+ * this list of conditions and the following disclaimer.
+ *
+ * 2. Redistributions in binary form must reproduce the above copyright notice,
+ * this list of conditions and the following disclaimer in the documentation
+ * and/or other materials provided with the distribution.
+ *
+ * 3. Neither the name of the copyright holder nor the names of its
+ * contributors may be used to endorse or promote products derived from
+ * this software without specific prior written permission.
+ *
+ * THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS
+ * "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING,
+ * BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS
+ * FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT
+ * HOLDER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL,
+ * SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO,
+ * PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS;
+ * OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY,
+ * WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE
+ * OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE,
+ * EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
+ */
+
+
+#ifndef __stri_exports_h
+#define __stri_exports_h
+
+#include <R.h>
+#include <Rdefines.h>
+
+// compare.cpp:
+SEXP stri_cmp(SEXP e1, SEXP e2, SEXP opts_collator=R_NilValue);
+SEXP stri_cmp_le(SEXP e1, SEXP e2, SEXP opts_collator=R_NilValue);
+SEXP stri_cmp_lt(SEXP e1, SEXP e2, SEXP opts_collator=R_NilValue);
+SEXP stri_cmp_ge(SEXP e1, SEXP e2, SEXP opts_collator=R_NilValue);
+SEXP stri_cmp_gt(SEXP e1, SEXP e2, SEXP opts_collator=R_NilValue);
+SEXP stri_cmp_equiv(SEXP e1, SEXP e2, SEXP opts_collator=R_NilValue);
+SEXP stri_cmp_nequiv(SEXP e1, SEXP e2, SEXP opts_collator=R_NilValue);
+SEXP stri_cmp_eq(SEXP e1, SEXP e2);
+SEXP stri_cmp_neq(SEXP e1, SEXP e2);
+
+// sort.cpp
+SEXP stri_sort(SEXP str, SEXP decreasing=Rf_ScalarLogical(FALSE),
+    SEXP na_last=Rf_ScalarLogical(NA_LOGICAL), SEXP opts_collator=R_NilValue);
+SEXP stri_rank(SEXP str, SEXP opts_collator=R_NilValue);
+SEXP stri_order(SEXP str, SEXP decreasing=Rf_ScalarLogical(FALSE),
+    SEXP na_last=Rf_ScalarLogical(TRUE), SEXP opts_collator=R_NilValue);
+SEXP stri_sort_key(SEXP str, SEXP opts_collator=R_NilValue);
+
+SEXP stri_unique(SEXP str, SEXP opts_collator=R_NilValue);
+SEXP stri_duplicated(SEXP str, SEXP fromLast=Rf_ScalarLogical(FALSE),
+    SEXP opts_collator=R_NilValue);
+SEXP stri_duplicated_any(SEXP str, SEXP fromLast=Rf_ScalarLogical(FALSE),
+    SEXP opts_collator=R_NilValue);
+
+// ICU_settings.cpp:
+SEXP stri_info();
+
+// escape.cpp
+SEXP stri_escape_unicode(SEXP str);
+SEXP stri_unescape_unicode(SEXP str);
+
+// join.cpp:
+SEXP stri_flatten(SEXP str, SEXP collapse=Rf_mkString(""),
+    SEXP na_empty=Rf_ScalarLogical(FALSE), SEXP omit_empty=Rf_ScalarLogical(FALSE));
+SEXP stri_join(SEXP strlist, SEXP sep=Rf_mkString(""),
+    SEXP collapse=R_NilValue, SEXP ignore_null=Rf_ScalarLogical(FALSE));
+SEXP stri_join_list(SEXP x, SEXP sep=Rf_mkString(""),
+    SEXP collapse=R_NilValue);
+SEXP stri_join2(SEXP e1, SEXP e2);
+SEXP stri_dup(SEXP str, SEXP times);
+
+// length.cpp
+SEXP stri_numbytes(SEXP str);
+SEXP stri_length(SEXP str);
+SEXP stri_isempty(SEXP str);
+SEXP stri_width(SEXP str);
+
+// reverse.cpp
+SEXP stri_reverse(SEXP s);
+
+// sub.cpp
+SEXP stri_sub(SEXP str, SEXP from, SEXP to, SEXP length, SEXP use_matrix=Rf_ScalarLogical(TRUE), SEXP ignore_negative_length=Rf_ScalarLogical(FALSE));
+SEXP stri_sub_replacement(SEXP str, SEXP from, SEXP to, SEXP length, SEXP omit_na, SEXP value, SEXP use_matrix=Rf_ScalarLogical(TRUE));
+SEXP stri_sub_all(SEXP str, SEXP from, SEXP to, SEXP length, SEXP use_matrix=Rf_ScalarLogical(TRUE), SEXP ignore_negative_length=Rf_ScalarLogical(TRUE));
+SEXP stri_sub_replacement_all(SEXP str, SEXP from, SEXP to, SEXP length, SEXP omit_na, SEXP value, SEXP use_matrix=Rf_ScalarLogical(TRUE));
+
+// encoding_management.cpp:
+SEXP stri_enc_list();
+SEXP stri_enc_info(SEXP enc=R_NilValue);
+SEXP stri_enc_set(SEXP enc);
+SEXP stri_enc_mark(SEXP str);
+
+// uloc.cpp:
+SEXP stri_locale_info(SEXP loc=R_NilValue);
+SEXP stri_locale_list();
+SEXP stri_locale_set(SEXP loc);
+
+// trim.cpp:
+SEXP stri_trim_both(SEXP str, SEXP pattern, SEXP negate=Rf_ScalarLogical(FALSE));
+SEXP stri_trim_left(SEXP str, SEXP pattern, SEXP negate=Rf_ScalarLogical(FALSE));
+SEXP stri_trim_right(SEXP str, SEXP pattern, SEXP negate=Rf_ScalarLogical(FALSE));
+
+// random.cpp
+SEXP stri_rand_shuffle(SEXP str);
+SEXP stri_rand_strings(SEXP n, SEXP length, SEXP pattern=Rf_mkString("[A-Za-z0-9]"));
+
+// stats.cpp
+SEXP stri_stats_general(SEXP str);
+SEXP stri_stats_latex(SEXP str);
+
+// trans_transliterate.cpp:
+SEXP stri_trans_list();
+SEXP stri_trans_general(SEXP str, SEXP id, SEXP rules, SEXP forward);
+
+// utils.cpp
+SEXP stri_list2matrix(SEXP x, SEXP byrow=Rf_ScalarLogical(FALSE),
+    SEXP fill=Rf_ScalarString(NA_STRING), SEXP n_min=Rf_ScalarInteger(0));
+
+
+// encoding_conversion.cpp:
+SEXP stri_encode(SEXP str, SEXP from=R_NilValue, SEXP to=R_NilValue,
+    SEXP to_raw=Rf_ScalarLogical(FALSE));
+SEXP stri_enc_fromutf32(SEXP str);
+SEXP stri_enc_toutf32(SEXP str);
+SEXP stri_enc_toutf8(SEXP str, SEXP is_unknown_8bit=Rf_ScalarLogical(FALSE),
+    SEXP validate=Rf_ScalarLogical(FALSE));
+SEXP stri_enc_toascii(SEXP str);
+
+
+// encoding_detection.cpp:
+SEXP stri_enc_detect2(SEXP str, SEXP loc=R_NilValue);
+SEXP stri_enc_detect(SEXP str, SEXP filter_angle_brackets=Rf_ScalarLogical(FALSE));
+SEXP stri_enc_isascii(SEXP str);
+SEXP stri_enc_isutf8(SEXP str);
+SEXP stri_enc_isutf16le(SEXP str);
+SEXP stri_enc_isutf16be(SEXP str);
+SEXP stri_enc_isutf32le(SEXP str);
+SEXP stri_enc_isutf32be(SEXP str);
+
+// pad.cpp
+SEXP stri_pad(SEXP str, SEXP width, SEXP side=Rf_mkString("left"),
+    SEXP pad=Rf_mkString(" "), SEXP use_length=Rf_ScalarLogical(FALSE));
+
+
+// sprintf.cpp
+SEXP stri_sprintf(SEXP format, SEXP x,
+    SEXP na_string=Rf_ScalarString(NA_STRING),
+    SEXP inf_string=Rf_mkString("Inf"),
+    SEXP nan_string=Rf_mkString("NaN"),
+    SEXP use_length=Rf_ScalarLogical(FALSE));
+
+// wrap.cpp
+SEXP stri_wrap(SEXP str, SEXP width, SEXP cost_exponent=Rf_ScalarInteger(2),
+    SEXP indent=Rf_ScalarInteger(0), SEXP exdent=Rf_ScalarInteger(0),
+    SEXP prefix=Rf_mkString(""), SEXP initial=Rf_mkString(""),
+    SEXP whitespace_only=Rf_ScalarLogical(FALSE),
+    SEXP use_length=Rf_ScalarLogical(FALSE), SEXP locale=R_NilValue);
+
+// trans_other.cpp:
+SEXP stri_trans_char(SEXP str, SEXP pattern, SEXP replacement);
+
+// trans_casemap.cpp:
+SEXP stri_trans_totitle(SEXP str, SEXP opts_brkiter=R_NilValue);
+SEXP stri_trans_tolower(SEXP str, SEXP locale=R_NilValue);
+SEXP stri_trans_toupper(SEXP str, SEXP locale=R_NilValue);
+SEXP stri_trans_casefold(SEXP str);
+
+// trans_normalization.cpp:
+SEXP stri_trans_nfc(SEXP s);
+SEXP stri_trans_nfd(SEXP s);
+SEXP stri_trans_nfkc(SEXP s);
+SEXP stri_trans_nfkd(SEXP s);
+SEXP stri_trans_nfkc_casefold(SEXP s);
+SEXP stri_trans_isnfc(SEXP s);
+SEXP stri_trans_isnfd(SEXP s);
+SEXP stri_trans_isnfkc(SEXP s);
+SEXP stri_trans_isnfkd(SEXP s);
+SEXP stri_trans_isnfkc_casefold(SEXP s);
+
+// search
+SEXP stri_split_lines(SEXP str, SEXP omit_empty=Rf_ScalarLogical(FALSE));
+SEXP stri_split_lines1(SEXP str);
+
+SEXP stri_replace_na(SEXP str, SEXP replacement=Rf_mkString("NA"));
+
+SEXP stri_replace_rstr(SEXP x);
+
+SEXP stri_detect_coll(SEXP str, SEXP pattern,
+    SEXP negate=Rf_ScalarLogical(FALSE), SEXP max_count=Rf_ScalarInteger(-1),
+    SEXP opts_collator=R_NilValue);
+SEXP stri_count_coll(SEXP str, SEXP pattern, SEXP opts_collator=R_NilValue);
+SEXP stri_locate_all_coll(SEXP str, SEXP pattern,
+    SEXP omit_no_match=Rf_ScalarLogical(FALSE),
+    SEXP opts_collator=R_NilValue,
+    SEXP get_length=Rf_ScalarLogical(FALSE)
+);
+SEXP stri_locate_first_coll(
+    SEXP str, SEXP pattern, SEXP opts_collator=R_NilValue,
+    SEXP get_length=Rf_ScalarLogical(FALSE)
+);
+SEXP stri_locate_last_coll(
+    SEXP str, SEXP pattern, SEXP opts_collator=R_NilValue,
+    SEXP get_length=Rf_ScalarLogical(FALSE)
+);
+SEXP stri_extract_first_coll(SEXP str, SEXP pattern, SEXP opts_collator=R_NilValue);
+SEXP stri_extract_last_coll(SEXP str, SEXP pattern, SEXP opts_collator=R_NilValue);
+SEXP stri_extract_all_coll(SEXP str, SEXP pattern,
+    SEXP simplify=Rf_ScalarLogical(FALSE),
+    SEXP omit_no_match=Rf_ScalarLogical(FALSE), SEXP opts_collator=R_NilValue);
+SEXP stri_replace_all_coll(SEXP str, SEXP pattern, SEXP replacement,
+    SEXP vectorize_all=Rf_ScalarLogical(TRUE), SEXP opts_collator=R_NilValue);
+SEXP stri_replace_first_coll(SEXP str, SEXP pattern, SEXP replacement,
+    SEXP opts_collator=R_NilValue);
+SEXP stri_replace_last_coll(SEXP str, SEXP pattern, SEXP replacement,
+    SEXP opts_collator=R_NilValue);
+SEXP stri_split_coll(SEXP str, SEXP split, SEXP n=Rf_ScalarInteger(-1),
+    SEXP omit_empty=Rf_ScalarLogical(FALSE), SEXP tokens_only=Rf_ScalarLogical(FALSE),
+    SEXP simplify=Rf_ScalarLogical(FALSE), SEXP opts_collator=R_NilValue);
+SEXP stri_endswith_coll(SEXP str, SEXP pattern, SEXP to=Rf_ScalarInteger(-1),
+    SEXP negate=Rf_ScalarLogical(FALSE),
+    SEXP opts_collator=R_NilValue);
+SEXP stri_startswith_coll(SEXP str, SEXP pattern, SEXP from=Rf_ScalarInteger(1),
+    SEXP negate=Rf_ScalarLogical(FALSE),
+    SEXP opts_collator=R_NilValue);
+SEXP stri_subset_coll(SEXP str, SEXP pattern,
+    SEXP omit_na=Rf_ScalarLogical(FALSE), SEXP negate=Rf_ScalarLogical(FALSE), SEXP opts_collator=R_NilValue);
+SEXP stri_subset_coll_replacement(SEXP str, SEXP pattern, SEXP negate, SEXP opts_collator, SEXP value);
+
+SEXP stri_detect_fixed(SEXP str, SEXP pattern,
+    SEXP negate=Rf_ScalarLogical(FALSE), SEXP max_count=Rf_ScalarInteger(-1),
+    SEXP opts_fixed=R_NilValue);
+SEXP stri_count_fixed(SEXP str, SEXP pattern, SEXP opts_fixed=R_NilValue);
+SEXP stri_locate_all_fixed(
+    SEXP str, SEXP pattern,
+    SEXP omit_no_match=Rf_ScalarLogical(FALSE), SEXP opts_fixed=R_NilValue,
+    SEXP get_length=Rf_ScalarLogical(FALSE)
+);
+SEXP stri_locate_first_fixed(
+    SEXP str, SEXP pattern, SEXP opts_fixed=R_NilValue,
+    SEXP get_length=Rf_ScalarLogical(FALSE)
+);
+SEXP stri_locate_last_fixed(
+    SEXP str, SEXP pattern, SEXP opts_fixed=R_NilValue,
+    SEXP get_length=Rf_ScalarLogical(FALSE)
+);
+SEXP stri_extract_first_fixed(
+    SEXP str, SEXP pattern, SEXP opts_fixed=R_NilValue
+);
+SEXP stri_extract_last_fixed(
+    SEXP str, SEXP pattern, SEXP opts_fixed=R_NilValue
+);
+SEXP stri_extract_all_fixed(
+    SEXP str, SEXP pattern,
+    SEXP simplify=Rf_ScalarLogical(FALSE),
+    SEXP omit_no_match=Rf_ScalarLogical(FALSE), SEXP opts_fixed=R_NilValue
+);
+SEXP stri_replace_all_fixed(SEXP str, SEXP pattern, SEXP replacement,
+    SEXP vectorize_all=Rf_ScalarLogical(TRUE), SEXP opts_fixed=R_NilValue);
+SEXP stri_replace_first_fixed(SEXP str, SEXP pattern, SEXP replacement,
+    SEXP opts_fixed=R_NilValue);
+SEXP stri_replace_last_fixed(SEXP str, SEXP pattern, SEXP replacement,
+    SEXP opts_fixed=R_NilValue);
+SEXP stri_split_fixed(SEXP str, SEXP split, SEXP n=Rf_ScalarInteger(-1),
+    SEXP omit_empty=Rf_ScalarLogical(FALSE), SEXP tokens_only=Rf_ScalarLogical(FALSE),
+    SEXP simplify=Rf_ScalarLogical(FALSE), SEXP opts_fixed=R_NilValue);
+SEXP stri_subset_fixed(SEXP str, SEXP pattern,
+    SEXP omit_na=Rf_ScalarLogical(FALSE), SEXP negate=Rf_ScalarLogical(FALSE), SEXP opts_fixed=R_NilValue);
+SEXP stri_endswith_fixed(SEXP str, SEXP pattern, SEXP to=Rf_ScalarInteger(-1),
+    SEXP negate=Rf_ScalarLogical(FALSE),
+    SEXP opts_fixed=R_NilValue);
+SEXP stri_startswith_fixed(SEXP str, SEXP pattern, SEXP from=Rf_ScalarInteger(1),
+    SEXP negate=Rf_ScalarLogical(FALSE),
+    SEXP opts_fixed=R_NilValue);
+SEXP stri_subset_fixed_replacement(SEXP str, SEXP pattern, SEXP negate, SEXP opts_fixed, SEXP value);
+
+SEXP stri_detect_regex(
+    SEXP str, SEXP pattern,
+    SEXP negate=Rf_ScalarLogical(FALSE),
+    SEXP max_count=Rf_ScalarInteger(-1),
+    SEXP opts_regex=R_NilValue
+);
+SEXP stri_count_regex(SEXP str, SEXP pattern, SEXP opts_regex=R_NilValue);
+SEXP stri_locate_all_regex(
+    SEXP str, SEXP pattern,
+    SEXP omit_no_match=Rf_ScalarLogical(FALSE),
+    SEXP opts_regex=R_NilValue,
+    SEXP capture_groups=Rf_ScalarLogical(FALSE),
+    SEXP get_length=Rf_ScalarLogical(FALSE)
+);
+SEXP stri_locate_first_regex(
+    SEXP str, SEXP pattern, SEXP opts_regex=R_NilValue,
+    SEXP capture_groups=Rf_ScalarLogical(FALSE),
+    SEXP get_length=Rf_ScalarLogical(FALSE)
+);
+SEXP stri_locate_last_regex(
+    SEXP str, SEXP pattern, SEXP opts_regex=R_NilValue,
+    SEXP capture_groups=Rf_ScalarLogical(FALSE),
+    SEXP get_length=Rf_ScalarLogical(FALSE)
+);
+SEXP stri_replace_all_regex(
+    SEXP str, SEXP pattern, SEXP replacement,
+    SEXP vectorize_all=Rf_ScalarLogical(FALSE), SEXP opts_regex=R_NilValue
+);
+SEXP stri_replace_first_regex(
+    SEXP str, SEXP pattern, SEXP replacement,
+    SEXP opts_regex=R_NilValue
+);
+SEXP stri_replace_last_regex(
+    SEXP str, SEXP pattern, SEXP replacement,
+    SEXP opts_regex=R_NilValue
+);
+SEXP stri_split_regex(
+    SEXP str, SEXP pattern, SEXP n=Rf_ScalarInteger(-1),
+    SEXP omit_empty=Rf_ScalarLogical(FALSE), SEXP tokens_only=Rf_ScalarLogical(FALSE),
+    SEXP simplify=Rf_ScalarLogical(FALSE), SEXP opts_regex=R_NilValue
+);
+SEXP stri_subset_regex(
+    SEXP str, SEXP pattern, SEXP omit_na=Rf_ScalarLogical(FALSE),
+    SEXP negate=Rf_ScalarLogical(FALSE), SEXP opts_regex=R_NilValue
+);
+SEXP stri_extract_first_regex(SEXP str, SEXP pattern, SEXP opts_regex=R_NilValue);
+SEXP stri_extract_last_regex(SEXP str, SEXP pattern, SEXP opts_regex=R_NilValue);
+SEXP stri_extract_all_regex(SEXP str, SEXP pattern,
+    SEXP simplify=Rf_ScalarLogical(FALSE), SEXP omit_no_match=Rf_ScalarLogical(FALSE),
+    SEXP opts_regex=R_NilValue);
+SEXP stri_match_first_regex(SEXP str, SEXP pattern,
+    SEXP cg_missing=Rf_ScalarString(NA_STRING), SEXP opts_regex=R_NilValue);
+SEXP stri_match_last_regex(SEXP str, SEXP pattern,
+    SEXP cg_missing=Rf_ScalarString(NA_STRING), SEXP opts_regex=R_NilValue);
+SEXP stri_match_all_regex(SEXP str, SEXP pattern,
+    SEXP omit_no_match=Rf_ScalarLogical(FALSE),
+    SEXP cg_missing=Rf_ScalarString(NA_STRING), SEXP opts_regex=R_NilValue);
+SEXP stri_subset_regex_replacement(SEXP str, SEXP pattern, SEXP negate, SEXP opts_regex, SEXP value);
+
+SEXP stri_detect_charclass(SEXP str, SEXP pattern,
+    SEXP negate=Rf_ScalarLogical(FALSE), SEXP max_count=Rf_ScalarInteger(-1));
+SEXP stri_count_charclass(SEXP str, SEXP pattern);
+SEXP stri_extract_first_charclass(SEXP str, SEXP pattern);
+SEXP stri_extract_last_charclass(SEXP str, SEXP pattern);
+SEXP stri_extract_all_charclass(SEXP str, SEXP pattern,
+    SEXP merge=Rf_ScalarLogical(TRUE), SEXP simplify=Rf_ScalarLogical(FALSE),
+    SEXP omit_no_match=Rf_ScalarLogical(FALSE));
+SEXP stri_locate_first_charclass(
+    SEXP str, SEXP pattern, SEXP get_length=Rf_ScalarLogical(FALSE)
+);
+SEXP stri_locate_last_charclass(
+    SEXP str, SEXP pattern, SEXP get_length=Rf_ScalarLogical(FALSE)
+);
+SEXP stri_locate_all_charclass(
+    SEXP str, SEXP pattern,
+    SEXP merge=Rf_ScalarLogical(TRUE),
+    SEXP omit_no_match=Rf_ScalarLogical(FALSE),
+    SEXP get_length=Rf_ScalarLogical(FALSE)
+);
+SEXP stri_replace_last_charclass(SEXP str, SEXP pattern, SEXP replacement);
+SEXP stri_replace_first_charclass(SEXP str, SEXP pattern, SEXP replacement);
+SEXP stri_replace_all_charclass(SEXP str, SEXP pattern, SEXP replacement,
+    SEXP merge=Rf_ScalarLogical(FALSE), SEXP vectorize_all=Rf_ScalarLogical(TRUE));
+SEXP stri_split_charclass(SEXP str, SEXP pattern, SEXP n=Rf_ScalarInteger(-1),
+    SEXP omit_empty=Rf_ScalarLogical(FALSE),
+    SEXP tokens_only=Rf_ScalarLogical(FALSE), SEXP simplify=Rf_ScalarLogical(FALSE));
+SEXP stri_endswith_charclass(SEXP str, SEXP pattern, SEXP to=Rf_ScalarInteger(-1),
+    SEXP negate=Rf_ScalarLogical(FALSE));
+SEXP stri_startswith_charclass(SEXP str, SEXP pattern, SEXP from=Rf_ScalarInteger(1),
+    SEXP negate=Rf_ScalarLogical(FALSE));
+SEXP stri_subset_charclass(SEXP str, SEXP pattern, SEXP omit_na=Rf_ScalarLogical(FALSE), SEXP negate=Rf_ScalarLogical(FALSE));
+SEXP stri_subset_charclass_replacement(SEXP str, SEXP pattern, SEXP negate, SEXP value);
+
+SEXP stri_extract_all_boundaries(SEXP str, SEXP simplify,
+    SEXP omit_no_match=Rf_ScalarLogical(FALSE), SEXP opts_brkiter=R_NilValue);
+SEXP stri_extract_first_boundaries(SEXP str, SEXP opts_brkiter=R_NilValue);
+SEXP stri_extract_last_boundaries(SEXP str, SEXP opts_brkiter=R_NilValue);
+SEXP stri_locate_all_boundaries(
+    SEXP str, SEXP omit_no_match=Rf_ScalarLogical(FALSE),
+    SEXP opts_brkiter=R_NilValue,
+    SEXP get_length=Rf_ScalarLogical(FALSE)
+);
+SEXP stri_locate_first_boundaries(
+    SEXP str,
+    SEXP opts_brkiter=R_NilValue,
+    SEXP get_length=Rf_ScalarLogical(FALSE)
+);
+SEXP stri_locate_last_boundaries(
+    SEXP str,
+    SEXP opts_brkiter=R_NilValue,
+    SEXP get_length=Rf_ScalarLogical(FALSE)
+);
+SEXP stri_split_boundaries(SEXP str, SEXP n=Rf_ScalarInteger(-1),
+    SEXP tokens_only=Rf_ScalarLogical(FALSE),
+    SEXP simplify=Rf_ScalarLogical(FALSE), SEXP opts_brkiter=R_NilValue);
+SEXP stri_count_boundaries(SEXP str, SEXP opts_brkiter=R_NilValue);
+
+
+// date/time
+SEXP stri_timezone_list(SEXP region=Rf_ScalarString(NA_STRING),
+    SEXP offset=Rf_ScalarInteger(NA_INTEGER));
+SEXP stri_timezone_set(SEXP tz);
+SEXP stri_timezone_info(SEXP tz=R_NilValue, SEXP locale=R_NilValue,
+    SEXP display_type=Rf_mkString("long"));
+
+SEXP stri_datetime_symbols(SEXP locale=R_NilValue,
+    SEXP context=Rf_mkString("standalone"), SEXP width=Rf_mkString("wide"));
+
+SEXP stri_datetime_now();
+SEXP stri_datetime_add(SEXP time, SEXP value=Rf_ScalarInteger(1),
+    SEXP units=Rf_mkString("seconds"), SEXP tz=R_NilValue, SEXP locale=R_NilValue);
+SEXP stri_datetime_fields(SEXP time, SEXP tz=R_NilValue, SEXP locale=R_NilValue);
+SEXP stri_datetime_create(SEXP year, SEXP month, SEXP day,
+    SEXP hour=Rf_ScalarInteger(12), SEXP minute=Rf_ScalarInteger(0),
+    SEXP second=Rf_ScalarInteger(0), SEXP lenient=Rf_ScalarLogical(FALSE),
+    SEXP tz=R_NilValue, SEXP locale=R_NilValue);
+SEXP stri_datetime_format(SEXP time, SEXP format=Rf_mkString("uuuu-MM-dd HH:mm:ss"),
+    SEXP tz=R_NilValue, SEXP locale=R_NilValue);
+SEXP stri_datetime_parse(SEXP str, SEXP format=Rf_mkString("uuuu-MM-dd HH:mm:ss"),
+    SEXP lenient=Rf_ScalarLogical(FALSE), SEXP tz=R_NilValue, SEXP locale=R_NilValue);
+SEXP stri_datetime_fstr(SEXP x);
+// SEXP stri_c_posixst(SEXP x);   // internal
+
+
+// prepare_arg.cpp:
+SEXP stri_prepare_arg_string_1(SEXP x, SEXP argname);
+SEXP stri_prepare_arg_double_1(SEXP x, SEXP argname);  // TODO: factors_as_strings
+SEXP stri_prepare_arg_integer_1(SEXP x, SEXP argname); // TODO: factors_as_strings
+SEXP stri_prepare_arg_logical_1(SEXP x, SEXP argname);
+SEXP stri_prepare_arg_string(SEXP x, SEXP argname);
+SEXP stri_prepare_arg_double(SEXP x, SEXP argname);  // TODO: factors_as_strings
+SEXP stri_prepare_arg_integer(SEXP x, SEXP argname); // TODO: factors_as_strings
+SEXP stri_prepare_arg_logical(SEXP x, SEXP argname);
+SEXP stri_prepare_arg_raw(SEXP x, SEXP argname);     // TODO: factors_as_strings
+// TODO: other prepare args
+
+
+// encoding_conversion.cpp:
+// SEXP stri_encode_from_marked(SEXP str, SEXP to, SEXP to_raw);  // internal
+
+
+// test.cpp /* internal, but in namespace: for testing */
+SEXP stri_test_Rmark(SEXP str);
+SEXP stri_test_UnicodeContainer16(SEXP str);
+SEXP stri_test_UnicodeContainer16b(SEXP str);
+SEXP stri_test_UnicodeContainer8(SEXP str);
+SEXP stri_test_returnasis(SEXP x);
+
+#endif
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/stringi/html/R.css
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/stringi/html/R.css	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/stringi/html/R.css	(revision 3761)
@@ -0,0 +1,120 @@
+@media screen {
+    .container {
+	padding-right: 10px;
+	padding-left: 10px;
+	margin-right: auto;
+	margin-left: auto;
+	max-width: 900px;
+    }
+}
+
+.rimage img { /* from knitr - for examples and demos */
+    width: 96%;
+    margin-left: 2%;
+} 	
+
+.katex { font-size: 1.1em; }
+
+code {
+    color: inherit;
+    background: inherit;
+}
+
+body {
+    line-height: 1.4;
+    background: white;
+    color: black;
+}
+
+a:link {
+    background: white;
+    color: blue;
+}
+
+a:visited {
+    background: white;
+    color: rgb(50%, 0%, 50%);
+}
+
+h1 {
+    background: white;
+    color: rgb(55%, 55%, 55%);
+    font-family: monospace;
+    font-size: 1.4em; /* x-large; */
+    text-align: center;
+}
+
+h2 {
+    background: white;
+    color: rgb(40%, 40%, 40%);
+    font-family: monospace;
+    font-size: 1.2em; /* large; */
+    text-align: center;
+}
+
+h3 {
+    background: white;
+    color: rgb(40%, 40%, 40%);
+    font-family: monospace;
+    font-size: 1.2em; /* large; */
+}
+
+h4 {
+    background: white;
+    color: rgb(40%, 40%, 40%);
+    font-family: monospace;
+    font-style: italic;
+    font-size: 1.2em; /* large; */
+}
+
+h5 {
+    background: white;
+    color: rgb(40%, 40%, 40%);
+    font-family: monospace;
+}
+
+h6 {
+    background: white;
+    color: rgb(40%, 40%, 40%);
+    font-family: monospace;
+    font-style: italic;
+}
+
+img.toplogo {
+    width: 4em;
+    vertical-align: middle;
+}
+
+img.arrow {
+    width: 30px;
+    height: 30px;
+    border: 0;
+}
+
+span.acronym {
+    font-size: small;
+}
+
+span.env {
+    font-family: monospace;
+}
+
+span.file {
+    font-family: monospace;
+}
+
+span.option{
+    font-family: monospace;
+}
+
+span.pkg {
+    font-weight: bold;
+}
+
+span.samp{
+    font-family: monospace;
+}
+
+div.vignettes a:hover {
+    background: rgb(85%, 85%, 85%);
+}

Property changes on: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/stringi/html/R.css
___________________________________________________________________
Added: svn:mime-type
   + text/plain

Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/stringi/html/00Index.html
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/stringi/html/00Index.html	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/stringi/html/00Index.html	(revision 3761)
@@ -0,0 +1,658 @@
+<!DOCTYPE html>
+<html>
+<head><title>R: Fast and Portable Character String Processing Facilities</title>
+<meta http-equiv="Content-Type" content="text/html; charset=utf-8" />
+<meta name="viewport" content="width=device-width, initial-scale=1.0, user-scalable=yes" />
+<link rel="stylesheet" type="text/css" href="R.css" />
+</head><body><div class="container">
+<h1> Fast and Portable Character String Processing Facilities
+<img class="toplogo" src="../../../doc/html/Rlogo.svg" alt="[R logo]" />
+</h1>
+<hr/>
+<div style="text-align: center;">
+<a href="../../../doc/html/packages.html"><img class="arrow" src="../../../doc/html/left.jpg" alt="[Up]" /></a>
+<a href="../../../doc/html/index.html"><img class="arrow" src="../../../doc/html/up.jpg" alt="[Top]" /></a>
+</div><h2>Documentation for package &lsquo;stringi&rsquo; version 1.7.12</h2>
+
+<ul><li><a href="../DESCRIPTION">DESCRIPTION file</a>.</li>
+<li><a href="../NEWS">Package NEWS</a>.</li>
+</ul>
+
+<h2>Help Pages</h2>
+
+
+<p style="text-align: center;">
+<a href="# "> </a>
+<a href="#A">A</a>
+<a href="#E">E</a>
+<a href="#L">L</a>
+<a href="#O">O</a>
+<a href="#S">S</a>
+<a href="#misc">misc</a>
+</p>
+
+<table style="width: 100%;">
+<tr><td style="width: 25%;"><a href="about_stringi.html">stringi-package</a></td>
+<td>Fast and Portable Character String Processing in R</td></tr>
+</table>
+
+<h2><a id="A">-- A --</a></h2>
+
+<table style="width: 100%;">
+<tr><td style="width: 25%;"><a href="about_arguments.html">about_arguments</a></td>
+<td>Passing Arguments to Functions in 'stringi'</td></tr>
+<tr><td style="width: 25%;"><a href="about_encoding.html">about_encoding</a></td>
+<td>Character Encodings and 'stringi'</td></tr>
+<tr><td style="width: 25%;"><a href="about_locale.html">about_locale</a></td>
+<td>Locales and 'stringi'</td></tr>
+<tr><td style="width: 25%;"><a href="about_search.html">about_search</a></td>
+<td>String Searching</td></tr>
+<tr><td style="width: 25%;"><a href="about_search_boundaries.html">about_search_boundaries</a></td>
+<td>Text Boundary Analysis in 'stringi'</td></tr>
+<tr><td style="width: 25%;"><a href="about_search_charclass.html">about_search_charclass</a></td>
+<td>Character Classes in 'stringi'</td></tr>
+<tr><td style="width: 25%;"><a href="about_search_coll.html">about_search_coll</a></td>
+<td>Locale-Sensitive Text Searching in 'stringi'</td></tr>
+<tr><td style="width: 25%;"><a href="about_search_fixed.html">about_search_fixed</a></td>
+<td>Locale-Insensitive Fixed Pattern Matching in 'stringi'</td></tr>
+<tr><td style="width: 25%;"><a href="about_search_regex.html">about_search_regex</a></td>
+<td>Regular Expressions in 'stringi'</td></tr>
+<tr><td style="width: 25%;"><a href="about_stringi.html">about_stringi</a></td>
+<td>Fast and Portable Character String Processing in R</td></tr>
+<tr><td style="width: 25%;"><a href="about_arguments.html">arguments</a></td>
+<td>Passing Arguments to Functions in 'stringi'</td></tr>
+</table>
+
+<h2><a id="E">-- E --</a></h2>
+
+<table style="width: 100%;">
+<tr><td style="width: 25%;"><a href="about_encoding.html">encoding</a></td>
+<td>Character Encodings and 'stringi'</td></tr>
+</table>
+
+<h2><a id="L">-- L --</a></h2>
+
+<table style="width: 100%;">
+<tr><td style="width: 25%;"><a href="about_locale.html">locale</a></td>
+<td>Locales and 'stringi'</td></tr>
+</table>
+
+<h2><a id="O">-- O --</a></h2>
+
+<table style="width: 100%;">
+<tr><td style="width: 25%;"><a href="operator_add.html">operator_add</a></td>
+<td>Concatenate Two Character Vectors</td></tr>
+<tr><td style="width: 25%;"><a href="operator_compare.html">operator_compare</a></td>
+<td>Compare Strings with or without Collation</td></tr>
+<tr><td style="width: 25%;"><a href="operator_dollar.html">operator_dollar</a></td>
+<td>C-Style Formatting with 'stri_sprintf' as a Binary Operator</td></tr>
+<tr><td style="width: 25%;"><a href="stri_dup.html">operator_multiply</a></td>
+<td>Duplicate Strings</td></tr>
+<tr><td style="width: 25%;"><a href="operator_add.html">operator_plus</a></td>
+<td>Concatenate Two Character Vectors</td></tr>
+<tr><td style="width: 25%;"><a href="operator_compare.html">oper_compare</a></td>
+<td>Compare Strings with or without Collation</td></tr>
+<tr><td style="width: 25%;"><a href="operator_compare.html">oper_comparison</a></td>
+<td>Compare Strings with or without Collation</td></tr>
+<tr><td style="width: 25%;"><a href="operator_dollar.html">oper_dollar</a></td>
+<td>C-Style Formatting with 'stri_sprintf' as a Binary Operator</td></tr>
+<tr><td style="width: 25%;"><a href="stri_dup.html">oper_multiply</a></td>
+<td>Duplicate Strings</td></tr>
+<tr><td style="width: 25%;"><a href="operator_add.html">oper_plus</a></td>
+<td>Concatenate Two Character Vectors</td></tr>
+</table>
+
+<h2><a id="S">-- S --</a></h2>
+
+<table style="width: 100%;">
+<tr><td style="width: 25%;"><a href="about_search.html">search</a></td>
+<td>String Searching</td></tr>
+<tr><td style="width: 25%;"><a href="about_search_boundaries.html">search_boundaries</a></td>
+<td>Text Boundary Analysis in 'stringi'</td></tr>
+<tr><td style="width: 25%;"><a href="about_search_charclass.html">search_charclass</a></td>
+<td>Character Classes in 'stringi'</td></tr>
+<tr><td style="width: 25%;"><a href="about_search_coll.html">search_coll</a></td>
+<td>Locale-Sensitive Text Searching in 'stringi'</td></tr>
+<tr><td style="width: 25%;"><a href="about_search_fixed.html">search_fixed</a></td>
+<td>Locale-Insensitive Fixed Pattern Matching in 'stringi'</td></tr>
+<tr><td style="width: 25%;"><a href="about_search_regex.html">search_regex</a></td>
+<td>Regular Expressions in 'stringi'</td></tr>
+<tr><td style="width: 25%;"><a href="about_stringi.html">stringi</a></td>
+<td>Fast and Portable Character String Processing in R</td></tr>
+<tr><td style="width: 25%;"><a href="about_arguments.html">stringi-arguments</a></td>
+<td>Passing Arguments to Functions in 'stringi'</td></tr>
+<tr><td style="width: 25%;"><a href="about_encoding.html">stringi-encoding</a></td>
+<td>Character Encodings and 'stringi'</td></tr>
+<tr><td style="width: 25%;"><a href="about_locale.html">stringi-locale</a></td>
+<td>Locales and 'stringi'</td></tr>
+<tr><td style="width: 25%;"><a href="about_search.html">stringi-search</a></td>
+<td>String Searching</td></tr>
+<tr><td style="width: 25%;"><a href="about_search_boundaries.html">stringi-search-boundaries</a></td>
+<td>Text Boundary Analysis in 'stringi'</td></tr>
+<tr><td style="width: 25%;"><a href="about_search_charclass.html">stringi-search-charclass</a></td>
+<td>Character Classes in 'stringi'</td></tr>
+<tr><td style="width: 25%;"><a href="about_search_coll.html">stringi-search-coll</a></td>
+<td>Locale-Sensitive Text Searching in 'stringi'</td></tr>
+<tr><td style="width: 25%;"><a href="about_search_fixed.html">stringi-search-fixed</a></td>
+<td>Locale-Insensitive Fixed Pattern Matching in 'stringi'</td></tr>
+<tr><td style="width: 25%;"><a href="about_search_regex.html">stringi-search-regex</a></td>
+<td>Regular Expressions in 'stringi'</td></tr>
+<tr><td style="width: 25%;"><a href="stri_join.html">stri_c</a></td>
+<td>Concatenate Character Vectors</td></tr>
+<tr><td style="width: 25%;"><a href="stri_compare.html">stri_cmp</a></td>
+<td>Compare Strings with or without Collation</td></tr>
+<tr><td style="width: 25%;"><a href="stri_compare.html">stri_cmp_eq</a></td>
+<td>Compare Strings with or without Collation</td></tr>
+<tr><td style="width: 25%;"><a href="stri_compare.html">stri_cmp_equiv</a></td>
+<td>Compare Strings with or without Collation</td></tr>
+<tr><td style="width: 25%;"><a href="stri_compare.html">stri_cmp_ge</a></td>
+<td>Compare Strings with or without Collation</td></tr>
+<tr><td style="width: 25%;"><a href="stri_compare.html">stri_cmp_gt</a></td>
+<td>Compare Strings with or without Collation</td></tr>
+<tr><td style="width: 25%;"><a href="stri_compare.html">stri_cmp_le</a></td>
+<td>Compare Strings with or without Collation</td></tr>
+<tr><td style="width: 25%;"><a href="stri_compare.html">stri_cmp_lt</a></td>
+<td>Compare Strings with or without Collation</td></tr>
+<tr><td style="width: 25%;"><a href="stri_compare.html">stri_cmp_neq</a></td>
+<td>Compare Strings with or without Collation</td></tr>
+<tr><td style="width: 25%;"><a href="stri_compare.html">stri_cmp_nequiv</a></td>
+<td>Compare Strings with or without Collation</td></tr>
+<tr><td style="width: 25%;"><a href="stri_opts_collator.html">stri_coll</a></td>
+<td>Generate a List with Collator Settings</td></tr>
+<tr><td style="width: 25%;"><a href="stri_compare.html">stri_compare</a></td>
+<td>Compare Strings with or without Collation</td></tr>
+<tr><td style="width: 25%;"><a href="stri_encode.html">stri_conv</a></td>
+<td>Convert Strings Between Given Encodings</td></tr>
+<tr><td style="width: 25%;"><a href="stri_count.html">stri_count</a></td>
+<td>Count the Number of Pattern Occurrences</td></tr>
+<tr><td style="width: 25%;"><a href="stri_count_boundaries.html">stri_count_boundaries</a></td>
+<td>Count the Number of Text Boundaries</td></tr>
+<tr><td style="width: 25%;"><a href="stri_count.html">stri_count_charclass</a></td>
+<td>Count the Number of Pattern Occurrences</td></tr>
+<tr><td style="width: 25%;"><a href="stri_count.html">stri_count_coll</a></td>
+<td>Count the Number of Pattern Occurrences</td></tr>
+<tr><td style="width: 25%;"><a href="stri_count.html">stri_count_fixed</a></td>
+<td>Count the Number of Pattern Occurrences</td></tr>
+<tr><td style="width: 25%;"><a href="stri_count.html">stri_count_regex</a></td>
+<td>Count the Number of Pattern Occurrences</td></tr>
+<tr><td style="width: 25%;"><a href="stri_count_boundaries.html">stri_count_words</a></td>
+<td>Count the Number of Text Boundaries</td></tr>
+<tr><td style="width: 25%;"><a href="stri_join_list.html">stri_c_list</a></td>
+<td>Concatenate Strings in a List</td></tr>
+<tr><td style="width: 25%;"><a href="stri_datetime_add.html">stri_datetime_add</a></td>
+<td>Date and Time Arithmetic</td></tr>
+<tr><td style="width: 25%;"><a href="stri_datetime_add.html">stri_datetime_add&lt;-</a></td>
+<td>Date and Time Arithmetic</td></tr>
+<tr><td style="width: 25%;"><a href="stri_datetime_create.html">stri_datetime_create</a></td>
+<td>Create a Date-Time Object</td></tr>
+<tr><td style="width: 25%;"><a href="stri_datetime_fields.html">stri_datetime_fields</a></td>
+<td>Get Values for Date and Time Fields</td></tr>
+<tr><td style="width: 25%;"><a href="stri_datetime_format.html">stri_datetime_format</a></td>
+<td>Date and Time Formatting and Parsing</td></tr>
+<tr><td style="width: 25%;"><a href="stri_datetime_fstr.html">stri_datetime_fstr</a></td>
+<td>Convert 'strptime'-Style Format Strings</td></tr>
+<tr><td style="width: 25%;"><a href="stri_datetime_now.html">stri_datetime_now</a></td>
+<td>Get Current Date and Time</td></tr>
+<tr><td style="width: 25%;"><a href="stri_datetime_format.html">stri_datetime_parse</a></td>
+<td>Date and Time Formatting and Parsing</td></tr>
+<tr><td style="width: 25%;"><a href="stri_datetime_symbols.html">stri_datetime_symbols</a></td>
+<td>List Localizable Date-Time Formatting Data</td></tr>
+<tr><td style="width: 25%;"><a href="stri_detect.html">stri_detect</a></td>
+<td>Detect Pattern Occurrences</td></tr>
+<tr><td style="width: 25%;"><a href="stri_detect.html">stri_detect_charclass</a></td>
+<td>Detect Pattern Occurrences</td></tr>
+<tr><td style="width: 25%;"><a href="stri_detect.html">stri_detect_coll</a></td>
+<td>Detect Pattern Occurrences</td></tr>
+<tr><td style="width: 25%;"><a href="stri_detect.html">stri_detect_fixed</a></td>
+<td>Detect Pattern Occurrences</td></tr>
+<tr><td style="width: 25%;"><a href="stri_detect.html">stri_detect_regex</a></td>
+<td>Detect Pattern Occurrences</td></tr>
+<tr><td style="width: 25%;"><a href="stri_dup.html">stri_dup</a></td>
+<td>Duplicate Strings</td></tr>
+<tr><td style="width: 25%;"><a href="stri_duplicated.html">stri_duplicated</a></td>
+<td>Determine Duplicated Elements</td></tr>
+<tr><td style="width: 25%;"><a href="stri_duplicated.html">stri_duplicated_any</a></td>
+<td>Determine Duplicated Elements</td></tr>
+<tr><td style="width: 25%;"><a href="stri_encode.html">stri_encode</a></td>
+<td>Convert Strings Between Given Encodings</td></tr>
+<tr><td style="width: 25%;"><a href="stri_enc_detect.html">stri_enc_detect</a></td>
+<td>Detect Character Set and Language</td></tr>
+<tr><td style="width: 25%;"><a href="stri_enc_detect2.html">stri_enc_detect2</a></td>
+<td>[DEPRECATED] Detect Locale-Sensitive Character Encoding</td></tr>
+<tr><td style="width: 25%;"><a href="stri_enc_fromutf32.html">stri_enc_fromutf32</a></td>
+<td>Convert From UTF-32</td></tr>
+<tr><td style="width: 25%;"><a href="stri_enc_set.html">stri_enc_get</a></td>
+<td>Set or Get Default Character Encoding in 'stringi'</td></tr>
+<tr><td style="width: 25%;"><a href="stri_enc_info.html">stri_enc_info</a></td>
+<td>Query a Character Encoding</td></tr>
+<tr><td style="width: 25%;"><a href="stri_enc_isascii.html">stri_enc_isascii</a></td>
+<td>Check If a Data Stream Is Possibly in ASCII</td></tr>
+<tr><td style="width: 25%;"><a href="stri_enc_isutf16.html">stri_enc_isutf16be</a></td>
+<td>Check If a Data Stream Is Possibly in UTF-16 or UTF-32</td></tr>
+<tr><td style="width: 25%;"><a href="stri_enc_isutf16.html">stri_enc_isutf16le</a></td>
+<td>Check If a Data Stream Is Possibly in UTF-16 or UTF-32</td></tr>
+<tr><td style="width: 25%;"><a href="stri_enc_isutf16.html">stri_enc_isutf32be</a></td>
+<td>Check If a Data Stream Is Possibly in UTF-16 or UTF-32</td></tr>
+<tr><td style="width: 25%;"><a href="stri_enc_isutf16.html">stri_enc_isutf32le</a></td>
+<td>Check If a Data Stream Is Possibly in UTF-16 or UTF-32</td></tr>
+<tr><td style="width: 25%;"><a href="stri_enc_isutf8.html">stri_enc_isutf8</a></td>
+<td>Check If a Data Stream Is Possibly in UTF-8</td></tr>
+<tr><td style="width: 25%;"><a href="stri_enc_list.html">stri_enc_list</a></td>
+<td>List Known Character Encodings</td></tr>
+<tr><td style="width: 25%;"><a href="stri_enc_mark.html">stri_enc_mark</a></td>
+<td>Get Declared Encodings of Each String</td></tr>
+<tr><td style="width: 25%;"><a href="stri_enc_set.html">stri_enc_set</a></td>
+<td>Set or Get Default Character Encoding in 'stringi'</td></tr>
+<tr><td style="width: 25%;"><a href="stri_enc_toascii.html">stri_enc_toascii</a></td>
+<td>Convert To ASCII</td></tr>
+<tr><td style="width: 25%;"><a href="stri_enc_tonative.html">stri_enc_tonative</a></td>
+<td>Convert Strings To Native Encoding</td></tr>
+<tr><td style="width: 25%;"><a href="stri_enc_toutf32.html">stri_enc_toutf32</a></td>
+<td>Convert Strings To UTF-32</td></tr>
+<tr><td style="width: 25%;"><a href="stri_enc_toutf8.html">stri_enc_toutf8</a></td>
+<td>Convert Strings To UTF-8</td></tr>
+<tr><td style="width: 25%;"><a href="stri_startsendswith.html">stri_endswith</a></td>
+<td>Determine if the Start or End of a String Matches a Pattern</td></tr>
+<tr><td style="width: 25%;"><a href="stri_startsendswith.html">stri_endswith_charclass</a></td>
+<td>Determine if the Start or End of a String Matches a Pattern</td></tr>
+<tr><td style="width: 25%;"><a href="stri_startsendswith.html">stri_endswith_coll</a></td>
+<td>Determine if the Start or End of a String Matches a Pattern</td></tr>
+<tr><td style="width: 25%;"><a href="stri_startsendswith.html">stri_endswith_fixed</a></td>
+<td>Determine if the Start or End of a String Matches a Pattern</td></tr>
+<tr><td style="width: 25%;"><a href="stri_escape_unicode.html">stri_escape_unicode</a></td>
+<td>Escape Unicode Code Points</td></tr>
+<tr><td style="width: 25%;"><a href="stri_extract.html">stri_extract</a></td>
+<td>Extract Pattern Occurrences</td></tr>
+<tr><td style="width: 25%;"><a href="stri_extract.html">stri_extract_all</a></td>
+<td>Extract Pattern Occurrences</td></tr>
+<tr><td style="width: 25%;"><a href="stri_extract_boundaries.html">stri_extract_all_boundaries</a></td>
+<td>Extract Data Between Text Boundaries</td></tr>
+<tr><td style="width: 25%;"><a href="stri_extract.html">stri_extract_all_charclass</a></td>
+<td>Extract Pattern Occurrences</td></tr>
+<tr><td style="width: 25%;"><a href="stri_extract.html">stri_extract_all_coll</a></td>
+<td>Extract Pattern Occurrences</td></tr>
+<tr><td style="width: 25%;"><a href="stri_extract.html">stri_extract_all_fixed</a></td>
+<td>Extract Pattern Occurrences</td></tr>
+<tr><td style="width: 25%;"><a href="stri_extract.html">stri_extract_all_regex</a></td>
+<td>Extract Pattern Occurrences</td></tr>
+<tr><td style="width: 25%;"><a href="stri_extract_boundaries.html">stri_extract_all_words</a></td>
+<td>Extract Data Between Text Boundaries</td></tr>
+<tr><td style="width: 25%;"><a href="stri_extract.html">stri_extract_first</a></td>
+<td>Extract Pattern Occurrences</td></tr>
+<tr><td style="width: 25%;"><a href="stri_extract_boundaries.html">stri_extract_first_boundaries</a></td>
+<td>Extract Data Between Text Boundaries</td></tr>
+<tr><td style="width: 25%;"><a href="stri_extract.html">stri_extract_first_charclass</a></td>
+<td>Extract Pattern Occurrences</td></tr>
+<tr><td style="width: 25%;"><a href="stri_extract.html">stri_extract_first_coll</a></td>
+<td>Extract Pattern Occurrences</td></tr>
+<tr><td style="width: 25%;"><a href="stri_extract.html">stri_extract_first_fixed</a></td>
+<td>Extract Pattern Occurrences</td></tr>
+<tr><td style="width: 25%;"><a href="stri_extract.html">stri_extract_first_regex</a></td>
+<td>Extract Pattern Occurrences</td></tr>
+<tr><td style="width: 25%;"><a href="stri_extract_boundaries.html">stri_extract_first_words</a></td>
+<td>Extract Data Between Text Boundaries</td></tr>
+<tr><td style="width: 25%;"><a href="stri_extract.html">stri_extract_last</a></td>
+<td>Extract Pattern Occurrences</td></tr>
+<tr><td style="width: 25%;"><a href="stri_extract_boundaries.html">stri_extract_last_boundaries</a></td>
+<td>Extract Data Between Text Boundaries</td></tr>
+<tr><td style="width: 25%;"><a href="stri_extract.html">stri_extract_last_charclass</a></td>
+<td>Extract Pattern Occurrences</td></tr>
+<tr><td style="width: 25%;"><a href="stri_extract.html">stri_extract_last_coll</a></td>
+<td>Extract Pattern Occurrences</td></tr>
+<tr><td style="width: 25%;"><a href="stri_extract.html">stri_extract_last_fixed</a></td>
+<td>Extract Pattern Occurrences</td></tr>
+<tr><td style="width: 25%;"><a href="stri_extract.html">stri_extract_last_regex</a></td>
+<td>Extract Pattern Occurrences</td></tr>
+<tr><td style="width: 25%;"><a href="stri_extract_boundaries.html">stri_extract_last_words</a></td>
+<td>Extract Data Between Text Boundaries</td></tr>
+<tr><td style="width: 25%;"><a href="stri_flatten.html">stri_flatten</a></td>
+<td>Flatten a String</td></tr>
+<tr><td style="width: 25%;"><a href="stri_info.html">stri_info</a></td>
+<td>Query Default Settings for 'stringi'</td></tr>
+<tr><td style="width: 25%;"><a href="stri_isempty.html">stri_isempty</a></td>
+<td>Determine if a String is of Length Zero</td></tr>
+<tr><td style="width: 25%;"><a href="stri_join.html">stri_join</a></td>
+<td>Concatenate Character Vectors</td></tr>
+<tr><td style="width: 25%;"><a href="stri_join_list.html">stri_join_list</a></td>
+<td>Concatenate Strings in a List</td></tr>
+<tr><td style="width: 25%;"><a href="stri_length.html">stri_length</a></td>
+<td>Count the Number of Code Points</td></tr>
+<tr><td style="width: 25%;"><a href="stri_list2matrix.html">stri_list2matrix</a></td>
+<td>Convert a List to a Character Matrix</td></tr>
+<tr><td style="width: 25%;"><a href="stri_locale_set.html">stri_locale_get</a></td>
+<td>Set or Get Default Locale in 'stringi'</td></tr>
+<tr><td style="width: 25%;"><a href="stri_locale_info.html">stri_locale_info</a></td>
+<td>Query Given Locale</td></tr>
+<tr><td style="width: 25%;"><a href="stri_locale_list.html">stri_locale_list</a></td>
+<td>List Available Locales</td></tr>
+<tr><td style="width: 25%;"><a href="stri_locale_set.html">stri_locale_set</a></td>
+<td>Set or Get Default Locale in 'stringi'</td></tr>
+<tr><td style="width: 25%;"><a href="stri_locate.html">stri_locate</a></td>
+<td>Locate Pattern Occurrences</td></tr>
+<tr><td style="width: 25%;"><a href="stri_locate.html">stri_locate_all</a></td>
+<td>Locate Pattern Occurrences</td></tr>
+<tr><td style="width: 25%;"><a href="stri_locate_boundaries.html">stri_locate_all_boundaries</a></td>
+<td>Locate Text Boundaries</td></tr>
+<tr><td style="width: 25%;"><a href="stri_locate.html">stri_locate_all_charclass</a></td>
+<td>Locate Pattern Occurrences</td></tr>
+<tr><td style="width: 25%;"><a href="stri_locate.html">stri_locate_all_coll</a></td>
+<td>Locate Pattern Occurrences</td></tr>
+<tr><td style="width: 25%;"><a href="stri_locate.html">stri_locate_all_fixed</a></td>
+<td>Locate Pattern Occurrences</td></tr>
+<tr><td style="width: 25%;"><a href="stri_locate.html">stri_locate_all_regex</a></td>
+<td>Locate Pattern Occurrences</td></tr>
+<tr><td style="width: 25%;"><a href="stri_locate_boundaries.html">stri_locate_all_words</a></td>
+<td>Locate Text Boundaries</td></tr>
+<tr><td style="width: 25%;"><a href="stri_locate.html">stri_locate_first</a></td>
+<td>Locate Pattern Occurrences</td></tr>
+<tr><td style="width: 25%;"><a href="stri_locate_boundaries.html">stri_locate_first_boundaries</a></td>
+<td>Locate Text Boundaries</td></tr>
+<tr><td style="width: 25%;"><a href="stri_locate.html">stri_locate_first_charclass</a></td>
+<td>Locate Pattern Occurrences</td></tr>
+<tr><td style="width: 25%;"><a href="stri_locate.html">stri_locate_first_coll</a></td>
+<td>Locate Pattern Occurrences</td></tr>
+<tr><td style="width: 25%;"><a href="stri_locate.html">stri_locate_first_fixed</a></td>
+<td>Locate Pattern Occurrences</td></tr>
+<tr><td style="width: 25%;"><a href="stri_locate.html">stri_locate_first_regex</a></td>
+<td>Locate Pattern Occurrences</td></tr>
+<tr><td style="width: 25%;"><a href="stri_locate_boundaries.html">stri_locate_first_words</a></td>
+<td>Locate Text Boundaries</td></tr>
+<tr><td style="width: 25%;"><a href="stri_locate.html">stri_locate_last</a></td>
+<td>Locate Pattern Occurrences</td></tr>
+<tr><td style="width: 25%;"><a href="stri_locate_boundaries.html">stri_locate_last_boundaries</a></td>
+<td>Locate Text Boundaries</td></tr>
+<tr><td style="width: 25%;"><a href="stri_locate.html">stri_locate_last_charclass</a></td>
+<td>Locate Pattern Occurrences</td></tr>
+<tr><td style="width: 25%;"><a href="stri_locate.html">stri_locate_last_coll</a></td>
+<td>Locate Pattern Occurrences</td></tr>
+<tr><td style="width: 25%;"><a href="stri_locate.html">stri_locate_last_fixed</a></td>
+<td>Locate Pattern Occurrences</td></tr>
+<tr><td style="width: 25%;"><a href="stri_locate.html">stri_locate_last_regex</a></td>
+<td>Locate Pattern Occurrences</td></tr>
+<tr><td style="width: 25%;"><a href="stri_locate_boundaries.html">stri_locate_last_words</a></td>
+<td>Locate Text Boundaries</td></tr>
+<tr><td style="width: 25%;"><a href="stri_match.html">stri_match</a></td>
+<td>Extract Regex Pattern Matches, Together with Capture Groups</td></tr>
+<tr><td style="width: 25%;"><a href="stri_match.html">stri_match_all</a></td>
+<td>Extract Regex Pattern Matches, Together with Capture Groups</td></tr>
+<tr><td style="width: 25%;"><a href="stri_match.html">stri_match_all_regex</a></td>
+<td>Extract Regex Pattern Matches, Together with Capture Groups</td></tr>
+<tr><td style="width: 25%;"><a href="stri_match.html">stri_match_first</a></td>
+<td>Extract Regex Pattern Matches, Together with Capture Groups</td></tr>
+<tr><td style="width: 25%;"><a href="stri_match.html">stri_match_first_regex</a></td>
+<td>Extract Regex Pattern Matches, Together with Capture Groups</td></tr>
+<tr><td style="width: 25%;"><a href="stri_match.html">stri_match_last</a></td>
+<td>Extract Regex Pattern Matches, Together with Capture Groups</td></tr>
+<tr><td style="width: 25%;"><a href="stri_match.html">stri_match_last_regex</a></td>
+<td>Extract Regex Pattern Matches, Together with Capture Groups</td></tr>
+<tr><td style="width: 25%;"><a href="stri_na2empty.html">stri_na2empty</a></td>
+<td>Replace NAs with Empty Strings</td></tr>
+<tr><td style="width: 25%;"><a href="stri_numbytes.html">stri_numbytes</a></td>
+<td>Count the Number of Bytes</td></tr>
+<tr><td style="width: 25%;"><a href="stri_remove_empty.html">stri_omit_empty</a></td>
+<td>Remove All Empty Strings from a Character Vector</td></tr>
+<tr><td style="width: 25%;"><a href="stri_remove_empty.html">stri_omit_empty_na</a></td>
+<td>Remove All Empty Strings from a Character Vector</td></tr>
+<tr><td style="width: 25%;"><a href="stri_remove_empty.html">stri_omit_na</a></td>
+<td>Remove All Empty Strings from a Character Vector</td></tr>
+<tr><td style="width: 25%;"><a href="stri_opts_brkiter.html">stri_opts_brkiter</a></td>
+<td>Generate a List with BreakIterator Settings</td></tr>
+<tr><td style="width: 25%;"><a href="stri_opts_collator.html">stri_opts_collator</a></td>
+<td>Generate a List with Collator Settings</td></tr>
+<tr><td style="width: 25%;"><a href="stri_opts_fixed.html">stri_opts_fixed</a></td>
+<td>Generate a List with Fixed Pattern Search Engine's Settings</td></tr>
+<tr><td style="width: 25%;"><a href="stri_opts_regex.html">stri_opts_regex</a></td>
+<td>Generate a List with Regex Matcher Settings</td></tr>
+<tr><td style="width: 25%;"><a href="stri_order.html">stri_order</a></td>
+<td>Ordering Permutation</td></tr>
+<tr><td style="width: 25%;"><a href="stri_pad.html">stri_pad</a></td>
+<td>Pad (Center/Left/Right Align) a String</td></tr>
+<tr><td style="width: 25%;"><a href="stri_pad.html">stri_pad_both</a></td>
+<td>Pad (Center/Left/Right Align) a String</td></tr>
+<tr><td style="width: 25%;"><a href="stri_pad.html">stri_pad_left</a></td>
+<td>Pad (Center/Left/Right Align) a String</td></tr>
+<tr><td style="width: 25%;"><a href="stri_pad.html">stri_pad_right</a></td>
+<td>Pad (Center/Left/Right Align) a String</td></tr>
+<tr><td style="width: 25%;"><a href="stri_join.html">stri_paste</a></td>
+<td>Concatenate Character Vectors</td></tr>
+<tr><td style="width: 25%;"><a href="stri_join_list.html">stri_paste_list</a></td>
+<td>Concatenate Strings in a List</td></tr>
+<tr><td style="width: 25%;"><a href="stri_sprintf.html">stri_printf</a></td>
+<td>Format Strings</td></tr>
+<tr><td style="width: 25%;"><a href="stri_rand_lipsum.html">stri_rand_lipsum</a></td>
+<td>A Lorem Ipsum Generator</td></tr>
+<tr><td style="width: 25%;"><a href="stri_rand_shuffle.html">stri_rand_shuffle</a></td>
+<td>Randomly Shuffle Code Points in Each String</td></tr>
+<tr><td style="width: 25%;"><a href="stri_rand_strings.html">stri_rand_strings</a></td>
+<td>Generate Random Strings</td></tr>
+<tr><td style="width: 25%;"><a href="stri_rank.html">stri_rank</a></td>
+<td>Ranking</td></tr>
+<tr><td style="width: 25%;"><a href="stri_read_lines.html">stri_read_lines</a></td>
+<td>Read Text Lines from a Text File</td></tr>
+<tr><td style="width: 25%;"><a href="stri_read_raw.html">stri_read_raw</a></td>
+<td>Read Text File as Raw</td></tr>
+<tr><td style="width: 25%;"><a href="stri_remove_empty.html">stri_remove_empty</a></td>
+<td>Remove All Empty Strings from a Character Vector</td></tr>
+<tr><td style="width: 25%;"><a href="stri_remove_empty.html">stri_remove_empty_na</a></td>
+<td>Remove All Empty Strings from a Character Vector</td></tr>
+<tr><td style="width: 25%;"><a href="stri_remove_empty.html">stri_remove_na</a></td>
+<td>Remove All Empty Strings from a Character Vector</td></tr>
+<tr><td style="width: 25%;"><a href="stri_replace.html">stri_replace</a></td>
+<td>Replace Pattern Occurrences</td></tr>
+<tr><td style="width: 25%;"><a href="stri_replace.html">stri_replace_all</a></td>
+<td>Replace Pattern Occurrences</td></tr>
+<tr><td style="width: 25%;"><a href="stri_replace.html">stri_replace_all_charclass</a></td>
+<td>Replace Pattern Occurrences</td></tr>
+<tr><td style="width: 25%;"><a href="stri_replace.html">stri_replace_all_coll</a></td>
+<td>Replace Pattern Occurrences</td></tr>
+<tr><td style="width: 25%;"><a href="stri_replace.html">stri_replace_all_fixed</a></td>
+<td>Replace Pattern Occurrences</td></tr>
+<tr><td style="width: 25%;"><a href="stri_replace.html">stri_replace_all_regex</a></td>
+<td>Replace Pattern Occurrences</td></tr>
+<tr><td style="width: 25%;"><a href="stri_replace.html">stri_replace_first</a></td>
+<td>Replace Pattern Occurrences</td></tr>
+<tr><td style="width: 25%;"><a href="stri_replace.html">stri_replace_first_charclass</a></td>
+<td>Replace Pattern Occurrences</td></tr>
+<tr><td style="width: 25%;"><a href="stri_replace.html">stri_replace_first_coll</a></td>
+<td>Replace Pattern Occurrences</td></tr>
+<tr><td style="width: 25%;"><a href="stri_replace.html">stri_replace_first_fixed</a></td>
+<td>Replace Pattern Occurrences</td></tr>
+<tr><td style="width: 25%;"><a href="stri_replace.html">stri_replace_first_regex</a></td>
+<td>Replace Pattern Occurrences</td></tr>
+<tr><td style="width: 25%;"><a href="stri_replace.html">stri_replace_last</a></td>
+<td>Replace Pattern Occurrences</td></tr>
+<tr><td style="width: 25%;"><a href="stri_replace.html">stri_replace_last_charclass</a></td>
+<td>Replace Pattern Occurrences</td></tr>
+<tr><td style="width: 25%;"><a href="stri_replace.html">stri_replace_last_coll</a></td>
+<td>Replace Pattern Occurrences</td></tr>
+<tr><td style="width: 25%;"><a href="stri_replace.html">stri_replace_last_fixed</a></td>
+<td>Replace Pattern Occurrences</td></tr>
+<tr><td style="width: 25%;"><a href="stri_replace.html">stri_replace_last_regex</a></td>
+<td>Replace Pattern Occurrences</td></tr>
+<tr><td style="width: 25%;"><a href="stri_replace_na.html">stri_replace_na</a></td>
+<td>Replace Missing Values in a Character Vector</td></tr>
+<tr><td style="width: 25%;"><a href="stri_replace_rstr.html">stri_replace_rstr</a></td>
+<td>Convert gsub-Style Replacement Strings</td></tr>
+<tr><td style="width: 25%;"><a href="stri_reverse.html">stri_reverse</a></td>
+<td>Reverse Each String</td></tr>
+<tr><td style="width: 25%;"><a href="stri_sort.html">stri_sort</a></td>
+<td>String Sorting</td></tr>
+<tr><td style="width: 25%;"><a href="stri_sort_key.html">stri_sort_key</a></td>
+<td>Sort Keys</td></tr>
+<tr><td style="width: 25%;"><a href="stri_split.html">stri_split</a></td>
+<td>Split a String By Pattern Matches</td></tr>
+<tr><td style="width: 25%;"><a href="stri_split_boundaries.html">stri_split_boundaries</a></td>
+<td>Split a String at Text Boundaries</td></tr>
+<tr><td style="width: 25%;"><a href="stri_split.html">stri_split_charclass</a></td>
+<td>Split a String By Pattern Matches</td></tr>
+<tr><td style="width: 25%;"><a href="stri_split.html">stri_split_coll</a></td>
+<td>Split a String By Pattern Matches</td></tr>
+<tr><td style="width: 25%;"><a href="stri_split.html">stri_split_fixed</a></td>
+<td>Split a String By Pattern Matches</td></tr>
+<tr><td style="width: 25%;"><a href="stri_split_lines.html">stri_split_lines</a></td>
+<td>Split a String Into Text Lines</td></tr>
+<tr><td style="width: 25%;"><a href="stri_split_lines.html">stri_split_lines1</a></td>
+<td>Split a String Into Text Lines</td></tr>
+<tr><td style="width: 25%;"><a href="stri_split.html">stri_split_regex</a></td>
+<td>Split a String By Pattern Matches</td></tr>
+<tr><td style="width: 25%;"><a href="stri_sprintf.html">stri_sprintf</a></td>
+<td>Format Strings</td></tr>
+<tr><td style="width: 25%;"><a href="stri_startsendswith.html">stri_startswith</a></td>
+<td>Determine if the Start or End of a String Matches a Pattern</td></tr>
+<tr><td style="width: 25%;"><a href="stri_startsendswith.html">stri_startswith_charclass</a></td>
+<td>Determine if the Start or End of a String Matches a Pattern</td></tr>
+<tr><td style="width: 25%;"><a href="stri_startsendswith.html">stri_startswith_coll</a></td>
+<td>Determine if the Start or End of a String Matches a Pattern</td></tr>
+<tr><td style="width: 25%;"><a href="stri_startsendswith.html">stri_startswith_fixed</a></td>
+<td>Determine if the Start or End of a String Matches a Pattern</td></tr>
+<tr><td style="width: 25%;"><a href="stri_stats_general.html">stri_stats_general</a></td>
+<td>General Statistics for a Character Vector</td></tr>
+<tr><td style="width: 25%;"><a href="stri_stats_latex.html">stri_stats_latex</a></td>
+<td>Statistics for a Character Vector Containing LaTeX Commands</td></tr>
+<tr><td style="width: 25%;"><a href="stri_sprintf.html">stri_string_format</a></td>
+<td>Format Strings</td></tr>
+<tr><td style="width: 25%;"><a href="stri_sub.html">stri_sub</a></td>
+<td>Extract a Substring From or Replace a Substring In a Character Vector</td></tr>
+<tr><td style="width: 25%;"><a href="stri_sub.html">stri_sub&lt;-</a></td>
+<td>Extract a Substring From or Replace a Substring In a Character Vector</td></tr>
+<tr><td style="width: 25%;"><a href="stri_subset.html">stri_subset</a></td>
+<td>Select Elements that Match a Given Pattern</td></tr>
+<tr><td style="width: 25%;"><a href="stri_subset.html">stri_subset&lt;-</a></td>
+<td>Select Elements that Match a Given Pattern</td></tr>
+<tr><td style="width: 25%;"><a href="stri_subset.html">stri_subset_charclass</a></td>
+<td>Select Elements that Match a Given Pattern</td></tr>
+<tr><td style="width: 25%;"><a href="stri_subset.html">stri_subset_charclass&lt;-</a></td>
+<td>Select Elements that Match a Given Pattern</td></tr>
+<tr><td style="width: 25%;"><a href="stri_subset.html">stri_subset_coll</a></td>
+<td>Select Elements that Match a Given Pattern</td></tr>
+<tr><td style="width: 25%;"><a href="stri_subset.html">stri_subset_coll&lt;-</a></td>
+<td>Select Elements that Match a Given Pattern</td></tr>
+<tr><td style="width: 25%;"><a href="stri_subset.html">stri_subset_fixed</a></td>
+<td>Select Elements that Match a Given Pattern</td></tr>
+<tr><td style="width: 25%;"><a href="stri_subset.html">stri_subset_fixed&lt;-</a></td>
+<td>Select Elements that Match a Given Pattern</td></tr>
+<tr><td style="width: 25%;"><a href="stri_subset.html">stri_subset_regex</a></td>
+<td>Select Elements that Match a Given Pattern</td></tr>
+<tr><td style="width: 25%;"><a href="stri_subset.html">stri_subset_regex&lt;-</a></td>
+<td>Select Elements that Match a Given Pattern</td></tr>
+<tr><td style="width: 25%;"><a href="stri_sub_all.html">stri_sub_all</a></td>
+<td>Extract or Replace Multiple Substrings</td></tr>
+<tr><td style="width: 25%;"><a href="stri_sub_all.html">stri_sub_all&lt;-</a></td>
+<td>Extract or Replace Multiple Substrings</td></tr>
+<tr><td style="width: 25%;"><a href="stri_sub_all.html">stri_sub_all_replace</a></td>
+<td>Extract or Replace Multiple Substrings</td></tr>
+<tr><td style="width: 25%;"><a href="stri_sub.html">stri_sub_replace</a></td>
+<td>Extract a Substring From or Replace a Substring In a Character Vector</td></tr>
+<tr><td style="width: 25%;"><a href="stri_sub_all.html">stri_sub_replace_all</a></td>
+<td>Extract or Replace Multiple Substrings</td></tr>
+<tr><td style="width: 25%;"><a href="stri_timezone_set.html">stri_timezone_get</a></td>
+<td>Set or Get Default Time Zone in 'stringi'</td></tr>
+<tr><td style="width: 25%;"><a href="stri_timezone_info.html">stri_timezone_info</a></td>
+<td>Query a Given Time Zone</td></tr>
+<tr><td style="width: 25%;"><a href="stri_timezone_list.html">stri_timezone_list</a></td>
+<td>List Available Time Zone Identifiers</td></tr>
+<tr><td style="width: 25%;"><a href="stri_timezone_set.html">stri_timezone_set</a></td>
+<td>Set or Get Default Time Zone in 'stringi'</td></tr>
+<tr><td style="width: 25%;"><a href="stri_trans_casemap.html">stri_trans_casefold</a></td>
+<td>Transform Strings with Case Mapping or Folding</td></tr>
+<tr><td style="width: 25%;"><a href="stri_trans_char.html">stri_trans_char</a></td>
+<td>Translate Characters</td></tr>
+<tr><td style="width: 25%;"><a href="stri_trans_general.html">stri_trans_general</a></td>
+<td>General Text Transforms, Including Transliteration</td></tr>
+<tr><td style="width: 25%;"><a href="stri_trans_nf.html">stri_trans_isnfc</a></td>
+<td>Perform or Check For Unicode Normalization</td></tr>
+<tr><td style="width: 25%;"><a href="stri_trans_nf.html">stri_trans_isnfd</a></td>
+<td>Perform or Check For Unicode Normalization</td></tr>
+<tr><td style="width: 25%;"><a href="stri_trans_nf.html">stri_trans_isnfkc</a></td>
+<td>Perform or Check For Unicode Normalization</td></tr>
+<tr><td style="width: 25%;"><a href="stri_trans_nf.html">stri_trans_isnfkc_casefold</a></td>
+<td>Perform or Check For Unicode Normalization</td></tr>
+<tr><td style="width: 25%;"><a href="stri_trans_nf.html">stri_trans_isnfkd</a></td>
+<td>Perform or Check For Unicode Normalization</td></tr>
+<tr><td style="width: 25%;"><a href="stri_trans_list.html">stri_trans_list</a></td>
+<td>List Available Text Transforms and Transliterators</td></tr>
+<tr><td style="width: 25%;"><a href="stri_trans_nf.html">stri_trans_nfc</a></td>
+<td>Perform or Check For Unicode Normalization</td></tr>
+<tr><td style="width: 25%;"><a href="stri_trans_nf.html">stri_trans_nfd</a></td>
+<td>Perform or Check For Unicode Normalization</td></tr>
+<tr><td style="width: 25%;"><a href="stri_trans_nf.html">stri_trans_nfkc</a></td>
+<td>Perform or Check For Unicode Normalization</td></tr>
+<tr><td style="width: 25%;"><a href="stri_trans_nf.html">stri_trans_nfkc_casefold</a></td>
+<td>Perform or Check For Unicode Normalization</td></tr>
+<tr><td style="width: 25%;"><a href="stri_trans_nf.html">stri_trans_nfkd</a></td>
+<td>Perform or Check For Unicode Normalization</td></tr>
+<tr><td style="width: 25%;"><a href="stri_trans_casemap.html">stri_trans_tolower</a></td>
+<td>Transform Strings with Case Mapping or Folding</td></tr>
+<tr><td style="width: 25%;"><a href="stri_trans_casemap.html">stri_trans_totitle</a></td>
+<td>Transform Strings with Case Mapping or Folding</td></tr>
+<tr><td style="width: 25%;"><a href="stri_trans_casemap.html">stri_trans_toupper</a></td>
+<td>Transform Strings with Case Mapping or Folding</td></tr>
+<tr><td style="width: 25%;"><a href="stri_trim.html">stri_trim</a></td>
+<td>Trim Characters from the Left and/or Right Side of a String</td></tr>
+<tr><td style="width: 25%;"><a href="stri_trim.html">stri_trim_both</a></td>
+<td>Trim Characters from the Left and/or Right Side of a String</td></tr>
+<tr><td style="width: 25%;"><a href="stri_trim.html">stri_trim_left</a></td>
+<td>Trim Characters from the Left and/or Right Side of a String</td></tr>
+<tr><td style="width: 25%;"><a href="stri_trim.html">stri_trim_right</a></td>
+<td>Trim Characters from the Left and/or Right Side of a String</td></tr>
+<tr><td style="width: 25%;"><a href="stri_unescape_unicode.html">stri_unescape_unicode</a></td>
+<td>Un-escape All Escape Sequences</td></tr>
+<tr><td style="width: 25%;"><a href="stri_unique.html">stri_unique</a></td>
+<td>Extract Unique Elements</td></tr>
+<tr><td style="width: 25%;"><a href="stri_width.html">stri_width</a></td>
+<td>Determine the Width of Code Points</td></tr>
+<tr><td style="width: 25%;"><a href="stri_wrap.html">stri_wrap</a></td>
+<td>Word Wrap Text to Format Paragraphs</td></tr>
+<tr><td style="width: 25%;"><a href="stri_write_lines.html">stri_write_lines</a></td>
+<td>Write Text Lines to a Text File</td></tr>
+</table>
+
+<h2><a id="misc">-- misc --</a></h2>
+
+<table style="width: 100%;">
+<tr><td style="width: 25%;"><a href="operator_compare.html">%s!=%</a></td>
+<td>Compare Strings with or without Collation</td></tr>
+<tr><td style="width: 25%;"><a href="operator_compare.html">%s!==%</a></td>
+<td>Compare Strings with or without Collation</td></tr>
+<tr><td style="width: 25%;"><a href="operator_dollar.html">%s$%</a></td>
+<td>C-Style Formatting with 'stri_sprintf' as a Binary Operator</td></tr>
+<tr><td style="width: 25%;"><a href="stri_dup.html">%s*%</a></td>
+<td>Duplicate Strings</td></tr>
+<tr><td style="width: 25%;"><a href="operator_add.html">%s+%</a></td>
+<td>Concatenate Two Character Vectors</td></tr>
+<tr><td style="width: 25%;"><a href="operator_compare.html">%s&lt;%</a></td>
+<td>Compare Strings with or without Collation</td></tr>
+<tr><td style="width: 25%;"><a href="operator_compare.html">%s&lt;=%</a></td>
+<td>Compare Strings with or without Collation</td></tr>
+<tr><td style="width: 25%;"><a href="operator_compare.html">%s==%</a></td>
+<td>Compare Strings with or without Collation</td></tr>
+<tr><td style="width: 25%;"><a href="operator_compare.html">%s===%</a></td>
+<td>Compare Strings with or without Collation</td></tr>
+<tr><td style="width: 25%;"><a href="operator_compare.html">%s&gt;%</a></td>
+<td>Compare Strings with or without Collation</td></tr>
+<tr><td style="width: 25%;"><a href="operator_compare.html">%s&gt;=%</a></td>
+<td>Compare Strings with or without Collation</td></tr>
+<tr><td style="width: 25%;"><a href="operator_compare.html">%stri!=%</a></td>
+<td>Compare Strings with or without Collation</td></tr>
+<tr><td style="width: 25%;"><a href="operator_compare.html">%stri!==%</a></td>
+<td>Compare Strings with or without Collation</td></tr>
+<tr><td style="width: 25%;"><a href="operator_dollar.html">%stri$%</a></td>
+<td>C-Style Formatting with 'stri_sprintf' as a Binary Operator</td></tr>
+<tr><td style="width: 25%;"><a href="stri_dup.html">%stri*%</a></td>
+<td>Duplicate Strings</td></tr>
+<tr><td style="width: 25%;"><a href="operator_add.html">%stri+%</a></td>
+<td>Concatenate Two Character Vectors</td></tr>
+<tr><td style="width: 25%;"><a href="operator_compare.html">%stri&lt;%</a></td>
+<td>Compare Strings with or without Collation</td></tr>
+<tr><td style="width: 25%;"><a href="operator_compare.html">%stri&lt;=%</a></td>
+<td>Compare Strings with or without Collation</td></tr>
+<tr><td style="width: 25%;"><a href="operator_compare.html">%stri==%</a></td>
+<td>Compare Strings with or without Collation</td></tr>
+<tr><td style="width: 25%;"><a href="operator_compare.html">%stri===%</a></td>
+<td>Compare Strings with or without Collation</td></tr>
+<tr><td style="width: 25%;"><a href="operator_compare.html">%stri&gt;%</a></td>
+<td>Compare Strings with or without Collation</td></tr>
+<tr><td style="width: 25%;"><a href="operator_compare.html">%stri&gt;=%</a></td>
+<td>Compare Strings with or without Collation</td></tr>
+</table>
+</div></body></html>

Property changes on: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/stringi/html/00Index.html
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Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/stringi/Meta/links.rds
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Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/stringi/Meta/package.rds
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Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/stringi/help/stringi.rdb
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Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/stringi/help/AnIndex
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/stringi/help/AnIndex	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/stringi/help/AnIndex	(revision 3761)
@@ -0,0 +1,296 @@
+stringi-package	about_stringi
+%s!=%	operator_compare
+%s!==%	operator_compare
+%s$%	operator_dollar
+%s*%	stri_dup
+%s+%	operator_add
+%s<%	operator_compare
+%s<=%	operator_compare
+%s==%	operator_compare
+%s===%	operator_compare
+%s>%	operator_compare
+%s>=%	operator_compare
+%stri!=%	operator_compare
+%stri!==%	operator_compare
+%stri$%	operator_dollar
+%stri*%	stri_dup
+%stri+%	operator_add
+%stri<%	operator_compare
+%stri<=%	operator_compare
+%stri==%	operator_compare
+%stri===%	operator_compare
+%stri>%	operator_compare
+%stri>=%	operator_compare
+about_arguments	about_arguments
+about_encoding	about_encoding
+about_locale	about_locale
+about_search	about_search
+about_search_boundaries	about_search_boundaries
+about_search_charclass	about_search_charclass
+about_search_coll	about_search_coll
+about_search_fixed	about_search_fixed
+about_search_regex	about_search_regex
+about_stringi	about_stringi
+arguments	about_arguments
+encoding	about_encoding
+locale	about_locale
+operator_add	operator_add
+operator_compare	operator_compare
+operator_dollar	operator_dollar
+operator_multiply	stri_dup
+operator_plus	operator_add
+oper_compare	operator_compare
+oper_comparison	operator_compare
+oper_dollar	operator_dollar
+oper_multiply	stri_dup
+oper_plus	operator_add
+search	about_search
+search_boundaries	about_search_boundaries
+search_charclass	about_search_charclass
+search_coll	about_search_coll
+search_fixed	about_search_fixed
+search_regex	about_search_regex
+stringi	about_stringi
+stringi-arguments	about_arguments
+stringi-encoding	about_encoding
+stringi-locale	about_locale
+stringi-search	about_search
+stringi-search-boundaries	about_search_boundaries
+stringi-search-charclass	about_search_charclass
+stringi-search-coll	about_search_coll
+stringi-search-fixed	about_search_fixed
+stringi-search-regex	about_search_regex
+stri_c	stri_join
+stri_cmp	stri_compare
+stri_cmp_eq	stri_compare
+stri_cmp_equiv	stri_compare
+stri_cmp_ge	stri_compare
+stri_cmp_gt	stri_compare
+stri_cmp_le	stri_compare
+stri_cmp_lt	stri_compare
+stri_cmp_neq	stri_compare
+stri_cmp_nequiv	stri_compare
+stri_coll	stri_opts_collator
+stri_compare	stri_compare
+stri_conv	stri_encode
+stri_count	stri_count
+stri_count_boundaries	stri_count_boundaries
+stri_count_charclass	stri_count
+stri_count_coll	stri_count
+stri_count_fixed	stri_count
+stri_count_regex	stri_count
+stri_count_words	stri_count_boundaries
+stri_c_list	stri_join_list
+stri_datetime_add	stri_datetime_add
+stri_datetime_add<-	stri_datetime_add
+stri_datetime_create	stri_datetime_create
+stri_datetime_fields	stri_datetime_fields
+stri_datetime_format	stri_datetime_format
+stri_datetime_fstr	stri_datetime_fstr
+stri_datetime_now	stri_datetime_now
+stri_datetime_parse	stri_datetime_format
+stri_datetime_symbols	stri_datetime_symbols
+stri_detect	stri_detect
+stri_detect_charclass	stri_detect
+stri_detect_coll	stri_detect
+stri_detect_fixed	stri_detect
+stri_detect_regex	stri_detect
+stri_dup	stri_dup
+stri_duplicated	stri_duplicated
+stri_duplicated_any	stri_duplicated
+stri_encode	stri_encode
+stri_enc_detect	stri_enc_detect
+stri_enc_detect2	stri_enc_detect2
+stri_enc_fromutf32	stri_enc_fromutf32
+stri_enc_get	stri_enc_set
+stri_enc_info	stri_enc_info
+stri_enc_isascii	stri_enc_isascii
+stri_enc_isutf16be	stri_enc_isutf16
+stri_enc_isutf16le	stri_enc_isutf16
+stri_enc_isutf32be	stri_enc_isutf16
+stri_enc_isutf32le	stri_enc_isutf16
+stri_enc_isutf8	stri_enc_isutf8
+stri_enc_list	stri_enc_list
+stri_enc_mark	stri_enc_mark
+stri_enc_set	stri_enc_set
+stri_enc_toascii	stri_enc_toascii
+stri_enc_tonative	stri_enc_tonative
+stri_enc_toutf32	stri_enc_toutf32
+stri_enc_toutf8	stri_enc_toutf8
+stri_endswith	stri_startsendswith
+stri_endswith_charclass	stri_startsendswith
+stri_endswith_coll	stri_startsendswith
+stri_endswith_fixed	stri_startsendswith
+stri_escape_unicode	stri_escape_unicode
+stri_extract	stri_extract
+stri_extract_all	stri_extract
+stri_extract_all_boundaries	stri_extract_boundaries
+stri_extract_all_charclass	stri_extract
+stri_extract_all_coll	stri_extract
+stri_extract_all_fixed	stri_extract
+stri_extract_all_regex	stri_extract
+stri_extract_all_words	stri_extract_boundaries
+stri_extract_first	stri_extract
+stri_extract_first_boundaries	stri_extract_boundaries
+stri_extract_first_charclass	stri_extract
+stri_extract_first_coll	stri_extract
+stri_extract_first_fixed	stri_extract
+stri_extract_first_regex	stri_extract
+stri_extract_first_words	stri_extract_boundaries
+stri_extract_last	stri_extract
+stri_extract_last_boundaries	stri_extract_boundaries
+stri_extract_last_charclass	stri_extract
+stri_extract_last_coll	stri_extract
+stri_extract_last_fixed	stri_extract
+stri_extract_last_regex	stri_extract
+stri_extract_last_words	stri_extract_boundaries
+stri_flatten	stri_flatten
+stri_info	stri_info
+stri_isempty	stri_isempty
+stri_join	stri_join
+stri_join_list	stri_join_list
+stri_length	stri_length
+stri_list2matrix	stri_list2matrix
+stri_locale_get	stri_locale_set
+stri_locale_info	stri_locale_info
+stri_locale_list	stri_locale_list
+stri_locale_set	stri_locale_set
+stri_locate	stri_locate
+stri_locate_all	stri_locate
+stri_locate_all_boundaries	stri_locate_boundaries
+stri_locate_all_charclass	stri_locate
+stri_locate_all_coll	stri_locate
+stri_locate_all_fixed	stri_locate
+stri_locate_all_regex	stri_locate
+stri_locate_all_words	stri_locate_boundaries
+stri_locate_first	stri_locate
+stri_locate_first_boundaries	stri_locate_boundaries
+stri_locate_first_charclass	stri_locate
+stri_locate_first_coll	stri_locate
+stri_locate_first_fixed	stri_locate
+stri_locate_first_regex	stri_locate
+stri_locate_first_words	stri_locate_boundaries
+stri_locate_last	stri_locate
+stri_locate_last_boundaries	stri_locate_boundaries
+stri_locate_last_charclass	stri_locate
+stri_locate_last_coll	stri_locate
+stri_locate_last_fixed	stri_locate
+stri_locate_last_regex	stri_locate
+stri_locate_last_words	stri_locate_boundaries
+stri_match	stri_match
+stri_match_all	stri_match
+stri_match_all_regex	stri_match
+stri_match_first	stri_match
+stri_match_first_regex	stri_match
+stri_match_last	stri_match
+stri_match_last_regex	stri_match
+stri_na2empty	stri_na2empty
+stri_numbytes	stri_numbytes
+stri_omit_empty	stri_remove_empty
+stri_omit_empty_na	stri_remove_empty
+stri_omit_na	stri_remove_empty
+stri_opts_brkiter	stri_opts_brkiter
+stri_opts_collator	stri_opts_collator
+stri_opts_fixed	stri_opts_fixed
+stri_opts_regex	stri_opts_regex
+stri_order	stri_order
+stri_pad	stri_pad
+stri_pad_both	stri_pad
+stri_pad_left	stri_pad
+stri_pad_right	stri_pad
+stri_paste	stri_join
+stri_paste_list	stri_join_list
+stri_printf	stri_sprintf
+stri_rand_lipsum	stri_rand_lipsum
+stri_rand_shuffle	stri_rand_shuffle
+stri_rand_strings	stri_rand_strings
+stri_rank	stri_rank
+stri_read_lines	stri_read_lines
+stri_read_raw	stri_read_raw
+stri_remove_empty	stri_remove_empty
+stri_remove_empty_na	stri_remove_empty
+stri_remove_na	stri_remove_empty
+stri_replace	stri_replace
+stri_replace_all	stri_replace
+stri_replace_all_charclass	stri_replace
+stri_replace_all_coll	stri_replace
+stri_replace_all_fixed	stri_replace
+stri_replace_all_regex	stri_replace
+stri_replace_first	stri_replace
+stri_replace_first_charclass	stri_replace
+stri_replace_first_coll	stri_replace
+stri_replace_first_fixed	stri_replace
+stri_replace_first_regex	stri_replace
+stri_replace_last	stri_replace
+stri_replace_last_charclass	stri_replace
+stri_replace_last_coll	stri_replace
+stri_replace_last_fixed	stri_replace
+stri_replace_last_regex	stri_replace
+stri_replace_na	stri_replace_na
+stri_replace_rstr	stri_replace_rstr
+stri_reverse	stri_reverse
+stri_sort	stri_sort
+stri_sort_key	stri_sort_key
+stri_split	stri_split
+stri_split_boundaries	stri_split_boundaries
+stri_split_charclass	stri_split
+stri_split_coll	stri_split
+stri_split_fixed	stri_split
+stri_split_lines	stri_split_lines
+stri_split_lines1	stri_split_lines
+stri_split_regex	stri_split
+stri_sprintf	stri_sprintf
+stri_startswith	stri_startsendswith
+stri_startswith_charclass	stri_startsendswith
+stri_startswith_coll	stri_startsendswith
+stri_startswith_fixed	stri_startsendswith
+stri_stats_general	stri_stats_general
+stri_stats_latex	stri_stats_latex
+stri_string_format	stri_sprintf
+stri_sub	stri_sub
+stri_sub<-	stri_sub
+stri_subset	stri_subset
+stri_subset<-	stri_subset
+stri_subset_charclass	stri_subset
+stri_subset_charclass<-	stri_subset
+stri_subset_coll	stri_subset
+stri_subset_coll<-	stri_subset
+stri_subset_fixed	stri_subset
+stri_subset_fixed<-	stri_subset
+stri_subset_regex	stri_subset
+stri_subset_regex<-	stri_subset
+stri_sub_all	stri_sub_all
+stri_sub_all<-	stri_sub_all
+stri_sub_all_replace	stri_sub_all
+stri_sub_replace	stri_sub
+stri_sub_replace_all	stri_sub_all
+stri_timezone_get	stri_timezone_set
+stri_timezone_info	stri_timezone_info
+stri_timezone_list	stri_timezone_list
+stri_timezone_set	stri_timezone_set
+stri_trans_casefold	stri_trans_casemap
+stri_trans_char	stri_trans_char
+stri_trans_general	stri_trans_general
+stri_trans_isnfc	stri_trans_nf
+stri_trans_isnfd	stri_trans_nf
+stri_trans_isnfkc	stri_trans_nf
+stri_trans_isnfkc_casefold	stri_trans_nf
+stri_trans_isnfkd	stri_trans_nf
+stri_trans_list	stri_trans_list
+stri_trans_nfc	stri_trans_nf
+stri_trans_nfd	stri_trans_nf
+stri_trans_nfkc	stri_trans_nf
+stri_trans_nfkc_casefold	stri_trans_nf
+stri_trans_nfkd	stri_trans_nf
+stri_trans_tolower	stri_trans_casemap
+stri_trans_totitle	stri_trans_casemap
+stri_trans_toupper	stri_trans_casemap
+stri_trim	stri_trim
+stri_trim_both	stri_trim
+stri_trim_left	stri_trim
+stri_trim_right	stri_trim
+stri_unescape_unicode	stri_unescape_unicode
+stri_unique	stri_unique
+stri_width	stri_width
+stri_wrap	stri_wrap
+stri_write_lines	stri_write_lines
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/stringi/help/paths.rds
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Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/stringi/help/aliases.rds
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Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/stringi/help/stringi.rdx
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Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/stringi/libs/stringi.so
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Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/fontawesome/help/figures/fontawesome_rmd.png
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Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/fontawesome/help/figures/logo.svg
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/fontawesome/help/figures/logo.svg	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/fontawesome/help/figures/logo.svg	(revision 3761)
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+                <path d="M23.828125,6.25 L23.4375,6.25 L23.4375,3.90625 C23.4375,1.71875 18.59375,0 12.5,0 C6.40625,0 1.5625,1.71875 1.5625,3.90625 L1.5625,6.25 L1.171875,6.25 C0.524902344,6.25 0,6.77441406 0,7.421875 L0,11.328125 C0,11.9750977 0.524902344,12.5 1.171875,12.5 L1.5625,12.5 L1.5625,20.3125 C1.5625,21.175293 2.26220703,21.875 3.125,21.875 L3.125,23.4375 C3.125,24.300293 3.82470703,25 4.6875,25 L6.25,25 C7.11279297,25 7.8125,24.300293 7.8125,23.4375 L7.8125,21.875 L17.1875,21.875 L17.1875,23.4375 C17.1875,24.300293 17.887207,25 18.75,25 L20.3125,25 C21.175293,25 21.875,24.300293 21.875,23.4375 L21.875,21.875 L22.1875,21.875 C22.96875,21.875 23.4375,21.25 23.4375,20.625 L23.4375,12.5 L23.828125,12.5 C24.4750977,12.5 25,11.9750977 25,11.328125 L25,7.421875 C25,6.77441406 24.4750977,6.25 23.828125,6.25 Z M7.8125,3.515625 C7.8125,3.29980469 7.98730469,3.125 8.203125,3.125 L16.796875,3.125 C17.0126953,3.125 17.1875,3.29980469 17.1875,3.515625 L17.1875,4.296875 C17.1875,4.51269531 17.0126953,4.6875 16.796875,4.6875 L8.203125,4.6875 C7.98730469,4.6875 7.8125,4.51269531 7.8125,4.296875 L7.8125,3.515625 Z M5.46875,19.53125 C4.60595703,19.53125 3.90625,18.831543 3.90625,17.96875 C3.90625,17.105957 4.60595703,16.40625 5.46875,16.40625 C6.33154297,16.40625 7.03125,17.105957 7.03125,17.96875 C7.03125,18.831543 6.33154297,19.53125 5.46875,19.53125 Z M11.71875,14.0625 L6.25,14.0625 C5.38720703,14.0625 4.6875,13.362793 4.6875,12.5 L4.6875,7.8125 C4.6875,6.94970703 5.38720703,6.25 6.25,6.25 L11.71875,6.25 L11.71875,14.0625 Z M13.28125,14.0625 L13.28125,6.25 L18.75,6.25 C19.612793,6.25 20.3125,6.94970703 20.3125,7.8125 L20.3125,12.5 C20.3125,13.362793 19.612793,14.0625 18.75,14.0625 L13.28125,14.0625 Z M19.53125,19.53125 C18.668457,19.53125 17.96875,18.831543 17.96875,17.96875 C17.96875,17.105957 18.668457,16.40625 19.53125,16.40625 C20.394043,16.40625 21.09375,17.105957 21.09375,17.96875 C21.09375,18.831543 20.394043,19.53125 19.53125,19.53125 Z" id="Shape"></path>
+            </g>
+        </g>
+    </g>
+</svg>
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Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/fontawesome/help/figures/fontawesome_shiny_app.png
===================================================================
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Property changes on: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/fontawesome/help/figures/fontawesome_shiny_app.png
___________________________________________________________________
Added: svn:mime-type
   + application/octet-stream

Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/knitr/shiny/www/ace-shiny.css
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/knitr/shiny/www/ace-shiny.css	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/knitr/shiny/www/ace-shiny.css	(revision 3761)
@@ -0,0 +1,24 @@
+#proxy {
+  position: absolute;
+  top: 0;
+  right: 0;
+  display: none;
+}
+
+#notebook {
+  position: absolute;
+  width: 600px;
+  top: 0;
+  left: 0;
+  bottom: 0;
+}
+
+#nbOut {
+  position: absolute;
+  left: 620px;
+  top: 0;
+  right: 0;
+  bottom: 0;
+  padding-right: 5px;
+  overflow-y: scroll;
+}

Property changes on: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/knitr/shiny/www/ace-shiny.css
___________________________________________________________________
Added: svn:mime-type
   + text/plain

Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/knitr/shiny/www/ace-shiny.js
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/knitr/shiny/www/ace-shiny.js	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/knitr/shiny/www/ace-shiny.js	(revision 3761)
@@ -0,0 +1,63 @@
+var editor = ace.edit("notebook");
+editor.setTheme("ace/theme/tomorrow");
+editor.getSession().setMode('ace/mode/markdown');
+editor.getSession().setUseWrapMode(true);
+editor.getSession().setTabSize(2);
+editor.getSession().setFoldStyle('markbegin');
+
+editor.getSession().on('change', function(e) {
+  $('#nbSrc').val(editor.getValue()).change();
+});
+editor.getSession().selection.on('changeSelection', function(e) {
+  var s = editor.session.getTextRange(editor.getSelectionRange());
+  if (s == '') s = editor.getValue();
+  $('#nbSrc').val(s).change();
+});
+editor.commands.addCommand({
+  name: 'insertChunk',
+  bindKey: 'Ctrl-Alt-I',
+  exec: function(editor) {
+    editor.insert('```{r}\n\n```\n');
+    editor.navigateUp(2);
+  }
+});
+editor.commands.addCommand({
+  name: 'compileNotebook',
+  bindKey: 'F4|Ctrl-Shift-H',
+  exec: function(editor) {
+    $('#proxy button').trigger('click');
+  }
+});
+
+$(document).ready(function() {
+  // may pass a url as a query string after ? in the url
+  var h = window.location.search.substring(1);
+  function setSrc(msg) {
+    if (msg) {
+      alert('unable to read URL ' + h + '\n\nusing default R Markdown example');
+    }
+    $('#nbSrc').val(editor.getValue());
+    $('#proxy button').trigger('click');
+  }
+  var w = Math.max($(window).width()/2, 300);
+  $('#notebook').width(w - 10);
+  $('#nbOut').css('left', w + 10 + 'px');
+  if (h) {
+    $.get(h, {}, function(res) {
+      var data = res.data, str = data.content;
+      if (typeof(str) != 'string') return(setSrc(true));
+      if (data.encoding == 'base64') {
+        str = str.replace(/\n/g, '');
+        str = decodeURIComponent(escape(window.atob( str )));
+      }
+      if (str) {
+        editor.setValue(str);
+        editor.gotoLine(1);
+        setSrc(false);
+      } else setSrc(true);
+    }, 'jsonp')
+    .error(function() {
+      setSrc(true);
+    });
+  } else setSrc(false);
+})
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/tidyr/help/figures/lifecycle-deprecated.svg
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/tidyr/help/figures/lifecycle-deprecated.svg	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/tidyr/help/figures/lifecycle-deprecated.svg	(revision 3761)
@@ -0,0 +1 @@
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\ No newline at end of file
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/tidyr/help/figures/lifecycle-superseded.svg
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/tidyr/help/figures/lifecycle-superseded.svg	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/tidyr/help/figures/lifecycle-superseded.svg	(revision 3761)
@@ -0,0 +1 @@
+<svg xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" width="128" height="20"><linearGradient id="b" x2="0" y2="100%"><stop offset="0" stop-color="#bbb" stop-opacity=".1"/><stop offset="1" stop-opacity=".1"/></linearGradient><clipPath id="a"><rect width="128" height="20" rx="3" fill="#fff"/></clipPath><g clip-path="url(#a)"><path fill="#555" d="M0 0h55v20H0z"/><path fill="#007ec6" d="M55 0h73v20H55z"/><path fill="url(#b)" d="M0 0h128v20H0z"/></g><g fill="#fff" text-anchor="middle" font-family="DejaVu Sans,Verdana,Geneva,sans-serif" font-size="110"> <text x="285" y="150" fill="#010101" fill-opacity=".3" transform="scale(.1)" textLength="450">lifecycle</text><text x="285" y="140" transform="scale(.1)" textLength="450">lifecycle</text><text x="905" y="150" fill="#010101" fill-opacity=".3" transform="scale(.1)" textLength="630">superseded</text><text x="905" y="140" transform="scale(.1)" textLength="630">superseded</text></g> </svg>
\ No newline at end of file
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/tidyr/help/figures/lifecycle-archived.svg
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/tidyr/help/figures/lifecycle-archived.svg	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/tidyr/help/figures/lifecycle-archived.svg	(revision 3761)
@@ -0,0 +1 @@
+<svg xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" width="110" height="20"><linearGradient id="b" x2="0" y2="100%"><stop offset="0" stop-color="#bbb" stop-opacity=".1"/><stop offset="1" stop-opacity=".1"/></linearGradient><clipPath id="a"><rect width="110" height="20" rx="3" fill="#fff"/></clipPath><g clip-path="url(#a)"><path fill="#555" d="M0 0h53v20H0z"/><path fill="#e05d44" d="M53 0h57v20H53z"/><path fill="url(#b)" d="M0 0h110v20H0z"/></g><g fill="#fff" text-anchor="middle" font-family="DejaVu Sans,Verdana,Geneva,sans-serif" font-size="110"> <text x="275" y="150" fill="#010101" fill-opacity=".3" transform="scale(.1)" textLength="430">lifecycle</text><text x="275" y="140" transform="scale(.1)" textLength="430">lifecycle</text><text x="805" y="150" fill="#010101" fill-opacity=".3" transform="scale(.1)" textLength="470">archived</text><text x="805" y="140" transform="scale(.1)" textLength="470">archived</text></g> </svg>
\ No newline at end of file
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/tidyr/help/figures/lifecycle-questioning.svg
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/tidyr/help/figures/lifecycle-questioning.svg	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/tidyr/help/figures/lifecycle-questioning.svg	(revision 3761)
@@ -0,0 +1 @@
+<svg xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" width="126" height="20"><linearGradient id="b" x2="0" y2="100%"><stop offset="0" stop-color="#bbb" stop-opacity=".1"/><stop offset="1" stop-opacity=".1"/></linearGradient><clipPath id="a"><rect width="126" height="20" rx="3" fill="#fff"/></clipPath><g clip-path="url(#a)"><path fill="#555" d="M0 0h53v20H0z"/><path fill="#007ec6" d="M53 0h73v20H53z"/><path fill="url(#b)" d="M0 0h126v20H0z"/></g><g fill="#fff" text-anchor="middle" font-family="DejaVu Sans,Verdana,Geneva,sans-serif" font-size="110"><text x="275" y="150" fill="#010101" fill-opacity=".3" transform="scale(.1)" textLength="430">lifecycle</text><text x="275" y="140" transform="scale(.1)" textLength="430">lifecycle</text><text x="885" y="150" fill="#010101" fill-opacity=".3" transform="scale(.1)" textLength="630">questioning</text><text x="885" y="140" transform="scale(.1)" textLength="630">questioning</text></g> </svg>
\ No newline at end of file
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/tidyr/help/figures/lifecycle-maturing.svg
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/tidyr/help/figures/lifecycle-maturing.svg	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/tidyr/help/figures/lifecycle-maturing.svg	(revision 3761)
@@ -0,0 +1 @@
+<svg xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" width="114" height="20"><linearGradient id="b" x2="0" y2="100%"><stop offset="0" stop-color="#bbb" stop-opacity=".1"/><stop offset="1" stop-opacity=".1"/></linearGradient><clipPath id="a"><rect width="114" height="20" rx="3" fill="#fff"/></clipPath><g clip-path="url(#a)"><path fill="#555" d="M0 0h53v20H0z"/><path fill="#007ec6" d="M53 0h61v20H53z"/><path fill="url(#b)" d="M0 0h114v20H0z"/></g><g fill="#fff" text-anchor="middle" font-family="DejaVu Sans,Verdana,Geneva,sans-serif" font-size="110"><text x="275" y="150" fill="#010101" fill-opacity=".3" transform="scale(.1)" textLength="430">lifecycle</text><text x="275" y="140" transform="scale(.1)" textLength="430">lifecycle</text><text x="825" y="150" fill="#010101" fill-opacity=".3" transform="scale(.1)" textLength="510">maturing</text><text x="825" y="140" transform="scale(.1)" textLength="510">maturing</text></g> </svg>
\ No newline at end of file
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/tidyr/help/figures/lifecycle-defunct.svg
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/tidyr/help/figures/lifecycle-defunct.svg	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/tidyr/help/figures/lifecycle-defunct.svg	(revision 3761)
@@ -0,0 +1 @@
+<svg xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" width="104" height="20"><linearGradient id="b" x2="0" y2="100%"><stop offset="0" stop-color="#bbb" stop-opacity=".1"/><stop offset="1" stop-opacity=".1"/></linearGradient><clipPath id="a"><rect width="104" height="20" rx="3" fill="#fff"/></clipPath><g clip-path="url(#a)"><path fill="#555" d="M0 0h53v20H0z"/><path fill="#e05d44" d="M53 0h51v20H53z"/><path fill="url(#b)" d="M0 0h104v20H0z"/></g><g fill="#fff" text-anchor="middle" font-family="DejaVu Sans,Verdana,Geneva,sans-serif" font-size="110"><text x="275" y="150" fill="#010101" fill-opacity=".3" transform="scale(.1)" textLength="430">lifecycle</text><text x="275" y="140" transform="scale(.1)" textLength="430">lifecycle</text><text x="775" y="150" fill="#010101" fill-opacity=".3" transform="scale(.1)" textLength="410">defunct</text><text x="775" y="140" transform="scale(.1)" textLength="410">defunct</text></g> </svg>
\ No newline at end of file
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/tidyr/help/figures/logo.png
===================================================================
Cannot display: file marked as a binary type.
svn:mime-type = application/octet-stream

Property changes on: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/tidyr/help/figures/logo.png
___________________________________________________________________
Added: svn:mime-type
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Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/tidyr/help/figures/lifecycle-soft-deprecated.svg
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/tidyr/help/figures/lifecycle-soft-deprecated.svg	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/tidyr/help/figures/lifecycle-soft-deprecated.svg	(revision 3761)
@@ -0,0 +1 @@
+<svg xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" width="150" height="20"><linearGradient id="b" x2="0" y2="100%"><stop offset="0" stop-color="#bbb" stop-opacity=".1"/><stop offset="1" stop-opacity=".1"/></linearGradient><clipPath id="a"><rect width="150" height="20" rx="3" fill="#fff"/></clipPath><g clip-path="url(#a)"><path fill="#555" d="M0 0h53v20H0z"/><path fill="#007ec6" d="M53 0h97v20H53z"/><path fill="url(#b)" d="M0 0h150v20H0z"/></g><g fill="#fff" text-anchor="middle" font-family="DejaVu Sans,Verdana,Geneva,sans-serif" font-size="110"><text x="275" y="150" fill="#010101" fill-opacity=".3" transform="scale(.1)" textLength="430">lifecycle</text><text x="275" y="140" transform="scale(.1)" textLength="430">lifecycle</text><text x="1005" y="150" fill="#010101" fill-opacity=".3" transform="scale(.1)" textLength="870">soft-deprecated</text><text x="1005" y="140" transform="scale(.1)" textLength="870">soft-deprecated</text></g> </svg>
\ No newline at end of file
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/tidyr/help/figures/lifecycle-stable.svg
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/tidyr/help/figures/lifecycle-stable.svg	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/tidyr/help/figures/lifecycle-stable.svg	(revision 3761)
@@ -0,0 +1 @@
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\ No newline at end of file
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/tidyr/help/figures/lifecycle-experimental.svg
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/tidyr/help/figures/lifecycle-experimental.svg	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/tidyr/help/figures/lifecycle-experimental.svg	(revision 3761)
@@ -0,0 +1 @@
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Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/diffobj/R/diffobj.rdx
===================================================================
Cannot display: file marked as a binary type.
svn:mime-type = application/octet-stream

Property changes on: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/diffobj/R/diffobj.rdx
___________________________________________________________________
Added: svn:mime-type
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Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/diffobj/R/diffobj
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/diffobj/R/diffobj	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/diffobj/R/diffobj	(revision 3761)
@@ -0,0 +1,27 @@
+#  File share/R/nspackloader.R
+#  Part of the R package, https://www.R-project.org
+#
+#  Copyright (C) 1995-2012 The R Core Team
+#
+#  This program is free software; you can redistribute it and/or modify
+#  it under the terms of the GNU General Public License as published by
+#  the Free Software Foundation; either version 2 of the License, or
+#  (at your option) any later version.
+#
+#  This program is distributed in the hope that it will be useful,
+#  but WITHOUT ANY WARRANTY; without even the implied warranty of
+#  MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
+#  GNU General Public License for more details.
+#
+#  A copy of the GNU General Public License is available at
+#  https://www.r-project.org/Licenses/
+
+local({
+    info <- loadingNamespaceInfo()
+    pkg <- info$pkgname
+    ns <- .getNamespace(as.name(pkg))
+    if (is.null(ns))
+        stop("cannot find namespace environment for ", pkg, domain = NA);
+    dbbase <- file.path(info$libname, pkg, "R", pkg)
+    lazyLoad(dbbase, ns, filter = function(n) n != ".__NAMESPACE__.")
+})
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/diffobj/R/diffobj.rdb
===================================================================
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Property changes on: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/diffobj/R/diffobj.rdb
___________________________________________________________________
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   + application/octet-stream

Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/diffobj/html/00Index.html
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/diffobj/html/00Index.html	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/diffobj/html/00Index.html	(revision 3761)
@@ -0,0 +1,380 @@
+<!DOCTYPE html>
+<html>
+<head><title>R: Diffs for R Objects</title>
+<meta http-equiv="Content-Type" content="text/html; charset=utf-8" />
+<meta name="viewport" content="width=device-width, initial-scale=1.0, user-scalable=yes" />
+<link rel="stylesheet" type="text/css" href="R.css" />
+</head><body><div class="container">
+<h1> Diffs for R Objects
+<img class="toplogo" src="../../../doc/html/Rlogo.svg" alt="[R logo]" />
+</h1>
+<hr/>
+<div style="text-align: center;">
+<a href="../../../doc/html/packages.html"><img class="arrow" src="../../../doc/html/left.jpg" alt="[Up]" /></a>
+<a href="../../../doc/html/index.html"><img class="arrow" src="../../../doc/html/up.jpg" alt="[Top]" /></a>
+</div><h2>Documentation for package &lsquo;diffobj&rsquo; version 0.3.5</h2>
+
+<ul><li><a href="../DESCRIPTION">DESCRIPTION file</a>.</li>
+<li><a href="../doc/index.html">User guides, package vignettes and other documentation.</a></li>
+</ul>
+
+<h2>Help Pages</h2>
+
+
+<p style="text-align: center;">
+<a href="# "> </a>
+<a href="#A">A</a>
+<a href="#C">C</a>
+<a href="#D">D</a>
+<a href="#F">F</a>
+<a href="#G">G</a>
+<a href="#H">H</a>
+<a href="#M">M</a>
+<a href="#N">N</a>
+<a href="#P">P</a>
+<a href="#R">R</a>
+<a href="#S">S</a>
+<a href="#T">T</a>
+<a href="#V">V</a>
+<a href="#W">W</a>
+<a href="#misc">misc</a>
+</p>
+
+<table style="width: 100%;">
+<tr><td style="width: 25%;"><a href="diffobj-package.html">diffobj-package</a></td>
+<td>Diffs for R Objects</td></tr>
+</table>
+
+<h2><a id="A">-- A --</a></h2>
+
+<table style="width: 100%;">
+<tr><td style="width: 25%;"><a href="AlignThreshold-class.html">AlignThreshold</a></td>
+<td>Controls How Lines Within a Diff Hunk Are Aligned</td></tr>
+<tr><td style="width: 25%;"><a href="AlignThreshold-class.html">AlignThreshold-class</a></td>
+<td>Controls How Lines Within a Diff Hunk Are Aligned</td></tr>
+<tr><td style="width: 25%;"><a href="any-Diff-method.html">any-method</a></td>
+<td>Determine if Diff Object Has Differences</td></tr>
+<tr><td style="width: 25%;"><a href="as.character-DiffSummary-method.html">as.character-method</a></td>
+<td>Generate Character Representation of DiffSummary Object</td></tr>
+<tr><td style="width: 25%;"><a href="auto_context.html">auto_context</a></td>
+<td>Configure Automatic Context Calculation</td></tr>
+</table>
+
+<h2><a id="C">-- C --</a></h2>
+
+<table style="width: 100%;">
+<tr><td style="width: 25%;"><a href="console_lines.html">console_lines</a></td>
+<td>Attempt to Compute Console Height in Text Lines</td></tr>
+<tr><td style="width: 25%;"><a href="tag_f.html">cont_f</a></td>
+<td>Make Functions That Wrap Text in HTML Tags</td></tr>
+</table>
+
+<h2><a id="D">-- D --</a></h2>
+
+<table style="width: 100%;">
+<tr><td style="width: 25%;"><a href="Diff-class.html">Diff-class</a></td>
+<td>Diff Result Object</td></tr>
+<tr><td style="width: 25%;"><a href="diffChr.html">diffChr</a></td>
+<td>Diff Character Vectors Element By Element</td></tr>
+<tr><td style="width: 25%;"><a href="diffChr.html">diffChr-method</a></td>
+<td>Diff Character Vectors Element By Element</td></tr>
+<tr><td style="width: 25%;"><a href="diffCsv.html">diffCsv</a></td>
+<td>Diff CSV Files</td></tr>
+<tr><td style="width: 25%;"><a href="diffCsv.html">diffCsv-method</a></td>
+<td>Diff CSV Files</td></tr>
+<tr><td style="width: 25%;"><a href="diffDeparse.html">diffDeparse</a></td>
+<td>Diff Deparsed Objects</td></tr>
+<tr><td style="width: 25%;"><a href="diffDeparse.html">diffDeparse-method</a></td>
+<td>Diff Deparsed Objects</td></tr>
+<tr><td style="width: 25%;"><a href="diffFile.html">diffFile</a></td>
+<td>Diff Files</td></tr>
+<tr><td style="width: 25%;"><a href="diffFile.html">diffFile-method</a></td>
+<td>Diff Files</td></tr>
+<tr><td style="width: 25%;"><a href="diffObj.html">diffObj</a></td>
+<td>Diff Objects</td></tr>
+<tr><td style="width: 25%;"><a href="webfiles.html">diffobj_css</a></td>
+<td>Return Location of Default HTML Support Files</td></tr>
+<tr><td style="width: 25%;"><a href="webfiles.html">diffobj_js</a></td>
+<td>Return Location of Default HTML Support Files</td></tr>
+<tr><td style="width: 25%;"><a href="diffobj_set_def_opts.html">diffobj_set_def_opts</a></td>
+<td>Set All diffobj Options to Defaults</td></tr>
+<tr><td style="width: 25%;"><a href="diffPrint.html">diffPrint</a></td>
+<td>Diff 'print'ed Objects</td></tr>
+<tr><td style="width: 25%;"><a href="diffPrint.html">diffPrint-method</a></td>
+<td>Diff 'print'ed Objects</td></tr>
+<tr><td style="width: 25%;"><a href="diffStr.html">diffStr</a></td>
+<td>Diff Object Structures</td></tr>
+<tr><td style="width: 25%;"><a href="diffStr.html">diffStr-method</a></td>
+<td>Diff Object Structures</td></tr>
+<tr><td style="width: 25%;"><a href="dimnames-PaletteOfStyles-method.html">dimnames-method</a></td>
+<td>Retrieve Dimnames for PaletteOfStyles Objects</td></tr>
+<tr><td style="width: 25%;"><a href="tag_f.html">div_f</a></td>
+<td>Make Functions That Wrap Text in HTML Tags</td></tr>
+<tr><td style="width: 25%;"><a href="tag_f.html">div_f,</a></td>
+<td>Make Functions That Wrap Text in HTML Tags</td></tr>
+</table>
+
+<h2><a id="F">-- F --</a></h2>
+
+<table style="width: 100%;">
+<tr><td style="width: 25%;"><a href="finalizeHtml.html">finalizeHtml</a></td>
+<td>Finalizing Methods for HTML Output</td></tr>
+<tr><td style="width: 25%;"><a href="finalizeHtml.html">finalizeHtml-method</a></td>
+<td>Finalizing Methods for HTML Output</td></tr>
+</table>
+
+<h2><a id="G">-- G --</a></h2>
+
+<table style="width: 100%;">
+<tr><td style="width: 25%;"><a href="gdo.html">gdo</a></td>
+<td>Shorthand Function for Accessing diffobj Options</td></tr>
+<tr><td style="width: 25%;"><a href="guides.html">guides</a></td>
+<td>Generic Methods to Implement Flexible Guide Line Computations</td></tr>
+<tr><td style="width: 25%;"><a href="guides.html">guidesChr</a></td>
+<td>Generic Methods to Implement Flexible Guide Line Computations</td></tr>
+<tr><td style="width: 25%;"><a href="guides.html">guidesChr,</a></td>
+<td>Generic Methods to Implement Flexible Guide Line Computations</td></tr>
+<tr><td style="width: 25%;"><a href="guides.html">guidesChr-method</a></td>
+<td>Generic Methods to Implement Flexible Guide Line Computations</td></tr>
+<tr><td style="width: 25%;"><a href="guides.html">guidesDeparse</a></td>
+<td>Generic Methods to Implement Flexible Guide Line Computations</td></tr>
+<tr><td style="width: 25%;"><a href="guides.html">guidesDeparse-method</a></td>
+<td>Generic Methods to Implement Flexible Guide Line Computations</td></tr>
+<tr><td style="width: 25%;"><a href="guides.html">guidesFile</a></td>
+<td>Generic Methods to Implement Flexible Guide Line Computations</td></tr>
+<tr><td style="width: 25%;"><a href="guides.html">guidesFile-method</a></td>
+<td>Generic Methods to Implement Flexible Guide Line Computations</td></tr>
+<tr><td style="width: 25%;"><a href="guides.html">guidesPrint</a></td>
+<td>Generic Methods to Implement Flexible Guide Line Computations</td></tr>
+<tr><td style="width: 25%;"><a href="guides.html">guidesPrint,</a></td>
+<td>Generic Methods to Implement Flexible Guide Line Computations</td></tr>
+<tr><td style="width: 25%;"><a href="guides.html">guidesPrint-method</a></td>
+<td>Generic Methods to Implement Flexible Guide Line Computations</td></tr>
+<tr><td style="width: 25%;"><a href="guides.html">guidesStr</a></td>
+<td>Generic Methods to Implement Flexible Guide Line Computations</td></tr>
+<tr><td style="width: 25%;"><a href="guides.html">guidesStr,</a></td>
+<td>Generic Methods to Implement Flexible Guide Line Computations</td></tr>
+<tr><td style="width: 25%;"><a href="guides.html">guidesStr-method</a></td>
+<td>Generic Methods to Implement Flexible Guide Line Computations</td></tr>
+</table>
+
+<h2><a id="H">-- H --</a></h2>
+
+<table style="width: 100%;">
+<tr><td style="width: 25%;"><a href="has_Rdiff.html">has_Rdiff</a></td>
+<td>Attempt to Detect Whether diff Utility is Available</td></tr>
+<tr><td style="width: 25%;"><a href="extract-Diff-method.html">head-method</a></td>
+<td>Subsetting Methods for Diff Objects</td></tr>
+</table>
+
+<h2><a id="M">-- M --</a></h2>
+
+<table style="width: 100%;">
+<tr><td style="width: 25%;"><a href="make_blocking.html">make_blocking</a></td>
+<td>Create a Blocking Version of a Function</td></tr>
+</table>
+
+<h2><a id="N">-- N --</a></h2>
+
+<table style="width: 100%;">
+<tr><td style="width: 25%;"><a href="nchar_html.html">nchar_html</a></td>
+<td>Count Text Characters in HTML</td></tr>
+</table>
+
+<h2><a id="P">-- P --</a></h2>
+
+<table style="width: 100%;">
+<tr><td style="width: 25%;"><a href="Pager.html">Pager</a></td>
+<td>Objects for Specifying Pager Settings</td></tr>
+<tr><td style="width: 25%;"><a href="Pager.html">PagerBrowser</a></td>
+<td>Objects for Specifying Pager Settings</td></tr>
+<tr><td style="width: 25%;"><a href="Pager.html">PagerOff</a></td>
+<td>Objects for Specifying Pager Settings</td></tr>
+<tr><td style="width: 25%;"><a href="Pager.html">PagerOff,</a></td>
+<td>Objects for Specifying Pager Settings</td></tr>
+<tr><td style="width: 25%;"><a href="Pager.html">PagerOff-class</a></td>
+<td>Objects for Specifying Pager Settings</td></tr>
+<tr><td style="width: 25%;"><a href="Pager.html">PagerSystem</a></td>
+<td>Objects for Specifying Pager Settings</td></tr>
+<tr><td style="width: 25%;"><a href="Pager.html">PagerSystem,</a></td>
+<td>Objects for Specifying Pager Settings</td></tr>
+<tr><td style="width: 25%;"><a href="Pager.html">PagerSystem-class</a></td>
+<td>Objects for Specifying Pager Settings</td></tr>
+<tr><td style="width: 25%;"><a href="Pager.html">PagerSystemLess</a></td>
+<td>Objects for Specifying Pager Settings</td></tr>
+<tr><td style="width: 25%;"><a href="Pager.html">PagerSystemLess,</a></td>
+<td>Objects for Specifying Pager Settings</td></tr>
+<tr><td style="width: 25%;"><a href="Pager.html">PagerSystemLess-class</a></td>
+<td>Objects for Specifying Pager Settings</td></tr>
+<tr><td style="width: 25%;"><a href="pager_is_less.html">pager_is_less</a></td>
+<td>Check Whether System Has less as Pager</td></tr>
+<tr><td style="width: 25%;"><a href="PaletteOfStyles-class.html">PaletteOfStyles</a></td>
+<td>Class for Tracking Default Styles by Style Type</td></tr>
+<tr><td style="width: 25%;"><a href="PaletteOfStyles-class.html">PaletteOfStyles-class</a></td>
+<td>Class for Tracking Default Styles by Style Type</td></tr>
+<tr><td style="width: 25%;"><a href="par_frame.html">par_frame</a></td>
+<td>Get Parent Frame of S4 Call Stack</td></tr>
+</table>
+
+<h2><a id="R">-- R --</a></h2>
+
+<table style="width: 100%;">
+<tr><td style="width: 25%;"><a href="Rdiff_chr.html">Rdiff_chr</a></td>
+<td>Run Rdiff Directly on R Objects</td></tr>
+<tr><td style="width: 25%;"><a href="Rdiff_chr.html">Rdiff_obj</a></td>
+<td>Run Rdiff Directly on R Objects</td></tr>
+</table>
+
+<h2><a id="S">-- S --</a></h2>
+
+<table style="width: 100%;">
+<tr><td style="width: 25%;"><a href="ses.html">ses</a></td>
+<td>Shortest Edit Script</td></tr>
+<tr><td style="width: 25%;"><a href="ses.html">ses_dat</a></td>
+<td>Shortest Edit Script</td></tr>
+<tr><td style="width: 25%;"><a href="show-DiffSummary-method.html">show-method</a></td>
+<td>Display DiffSummary Objects</td></tr>
+<tr><td style="width: 25%;"><a href="show-PaletteOfStyles-method.html">show-method</a></td>
+<td>Display a PaletteOfStyles</td></tr>
+<tr><td style="width: 25%;"><a href="show-Style-method.html">show-method</a></td>
+<td>Show Method for Style Objects</td></tr>
+<tr><td style="width: 25%;"><a href="tag_f.html">span_f</a></td>
+<td>Make Functions That Wrap Text in HTML Tags</td></tr>
+<tr><td style="width: 25%;"><a href="tag_f.html">span_f,</a></td>
+<td>Make Functions That Wrap Text in HTML Tags</td></tr>
+<tr><td style="width: 25%;"><a href="Style.html">Style</a></td>
+<td>Customize Appearance of Diff</td></tr>
+<tr><td style="width: 25%;"><a href="Style.html">Style-class</a></td>
+<td>Customize Appearance of Diff</td></tr>
+<tr><td style="width: 25%;"><a href="Style.html">StyleAnsi</a></td>
+<td>Customize Appearance of Diff</td></tr>
+<tr><td style="width: 25%;"><a href="Style.html">StyleAnsi-class</a></td>
+<td>Customize Appearance of Diff</td></tr>
+<tr><td style="width: 25%;"><a href="Style.html">StyleAnsi256DarkRgb</a></td>
+<td>Customize Appearance of Diff</td></tr>
+<tr><td style="width: 25%;"><a href="Style.html">StyleAnsi256DarkRgb-class</a></td>
+<td>Customize Appearance of Diff</td></tr>
+<tr><td style="width: 25%;"><a href="Style.html">StyleAnsi256DarkYb</a></td>
+<td>Customize Appearance of Diff</td></tr>
+<tr><td style="width: 25%;"><a href="Style.html">StyleAnsi256DarkYb-class</a></td>
+<td>Customize Appearance of Diff</td></tr>
+<tr><td style="width: 25%;"><a href="Style.html">StyleAnsi256LightRgb</a></td>
+<td>Customize Appearance of Diff</td></tr>
+<tr><td style="width: 25%;"><a href="Style.html">StyleAnsi256LightRgb-class</a></td>
+<td>Customize Appearance of Diff</td></tr>
+<tr><td style="width: 25%;"><a href="Style.html">StyleAnsi256LightYb</a></td>
+<td>Customize Appearance of Diff</td></tr>
+<tr><td style="width: 25%;"><a href="Style.html">StyleAnsi256LightYb-class</a></td>
+<td>Customize Appearance of Diff</td></tr>
+<tr><td style="width: 25%;"><a href="Style.html">StyleAnsi8NeutralRgb</a></td>
+<td>Customize Appearance of Diff</td></tr>
+<tr><td style="width: 25%;"><a href="Style.html">StyleAnsi8NeutralRgb-class</a></td>
+<td>Customize Appearance of Diff</td></tr>
+<tr><td style="width: 25%;"><a href="Style.html">StyleAnsi8NeutralYb</a></td>
+<td>Customize Appearance of Diff</td></tr>
+<tr><td style="width: 25%;"><a href="Style.html">StyleAnsi8NeutralYb-class</a></td>
+<td>Customize Appearance of Diff</td></tr>
+<tr><td style="width: 25%;"><a href="StyleFuns.html">StyleFuns</a></td>
+<td>Functions Used for Styling Diff Components</td></tr>
+<tr><td style="width: 25%;"><a href="StyleFuns.html">StyleFuns-class</a></td>
+<td>Functions Used for Styling Diff Components</td></tr>
+<tr><td style="width: 25%;"><a href="Style.html">StyleHtml</a></td>
+<td>Customize Appearance of Diff</td></tr>
+<tr><td style="width: 25%;"><a href="Style.html">StyleHtml-class</a></td>
+<td>Customize Appearance of Diff</td></tr>
+<tr><td style="width: 25%;"><a href="Style.html">StyleHtmlLightRgb</a></td>
+<td>Customize Appearance of Diff</td></tr>
+<tr><td style="width: 25%;"><a href="Style.html">StyleHtmlLightRgb-class</a></td>
+<td>Customize Appearance of Diff</td></tr>
+<tr><td style="width: 25%;"><a href="Style.html">StyleHtmlLightYb</a></td>
+<td>Customize Appearance of Diff</td></tr>
+<tr><td style="width: 25%;"><a href="Style.html">StyleHtmlLightYb-class</a></td>
+<td>Customize Appearance of Diff</td></tr>
+<tr><td style="width: 25%;"><a href="Style.html">StyleRaw</a></td>
+<td>Customize Appearance of Diff</td></tr>
+<tr><td style="width: 25%;"><a href="Style.html">StyleRaw-class</a></td>
+<td>Customize Appearance of Diff</td></tr>
+<tr><td style="width: 25%;"><a href="StyleSummary.html">StyleSummary</a></td>
+<td>Styling Information for Summaries</td></tr>
+<tr><td style="width: 25%;"><a href="StyleSummary.html">StyleSummary-class</a></td>
+<td>Styling Information for Summaries</td></tr>
+<tr><td style="width: 25%;"><a href="StyleSummary.html">StyleSummaryHtml</a></td>
+<td>Styling Information for Summaries</td></tr>
+<tr><td style="width: 25%;"><a href="StyleSummary.html">StyleSummaryHtml-class</a></td>
+<td>Styling Information for Summaries</td></tr>
+<tr><td style="width: 25%;"><a href="StyleText.html">StyleText</a></td>
+<td>Character Tokens Used in Diffs</td></tr>
+<tr><td style="width: 25%;"><a href="StyleText.html">StyleText-class</a></td>
+<td>Character Tokens Used in Diffs</td></tr>
+<tr><td style="width: 25%;"><a href="summary-Diff-method.html">summary-method</a></td>
+<td>Summary Method for Diff Objects</td></tr>
+<tr><td style="width: 25%;"><a href="summary-PaletteOfStyles-method.html">summary-method</a></td>
+<td>Display a Summarized Version of a PaletteOfStyles</td></tr>
+</table>
+
+<h2><a id="T">-- T --</a></h2>
+
+<table style="width: 100%;">
+<tr><td style="width: 25%;"><a href="tag_f.html">tag_f</a></td>
+<td>Make Functions That Wrap Text in HTML Tags</td></tr>
+<tr><td style="width: 25%;"><a href="extract-Diff-method.html">tail-method</a></td>
+<td>Subsetting Methods for Diff Objects</td></tr>
+<tr><td style="width: 25%;"><a href="trim.html">trim</a></td>
+<td>Methods to Remove Unsemantic Text Prior to Diff</td></tr>
+<tr><td style="width: 25%;"><a href="trim.html">trimChr</a></td>
+<td>Methods to Remove Unsemantic Text Prior to Diff</td></tr>
+<tr><td style="width: 25%;"><a href="trim.html">trimChr,</a></td>
+<td>Methods to Remove Unsemantic Text Prior to Diff</td></tr>
+<tr><td style="width: 25%;"><a href="trim.html">trimChr-method</a></td>
+<td>Methods to Remove Unsemantic Text Prior to Diff</td></tr>
+<tr><td style="width: 25%;"><a href="trim.html">trimDeparse</a></td>
+<td>Methods to Remove Unsemantic Text Prior to Diff</td></tr>
+<tr><td style="width: 25%;"><a href="trim.html">trimDeparse,</a></td>
+<td>Methods to Remove Unsemantic Text Prior to Diff</td></tr>
+<tr><td style="width: 25%;"><a href="trim.html">trimDeparse-method</a></td>
+<td>Methods to Remove Unsemantic Text Prior to Diff</td></tr>
+<tr><td style="width: 25%;"><a href="trim.html">trimFile</a></td>
+<td>Methods to Remove Unsemantic Text Prior to Diff</td></tr>
+<tr><td style="width: 25%;"><a href="trim.html">trimFile-method</a></td>
+<td>Methods to Remove Unsemantic Text Prior to Diff</td></tr>
+<tr><td style="width: 25%;"><a href="trim.html">trimPrint</a></td>
+<td>Methods to Remove Unsemantic Text Prior to Diff</td></tr>
+<tr><td style="width: 25%;"><a href="trim.html">trimPrint,</a></td>
+<td>Methods to Remove Unsemantic Text Prior to Diff</td></tr>
+<tr><td style="width: 25%;"><a href="trim.html">trimPrint-method</a></td>
+<td>Methods to Remove Unsemantic Text Prior to Diff</td></tr>
+<tr><td style="width: 25%;"><a href="trim.html">trimStr</a></td>
+<td>Methods to Remove Unsemantic Text Prior to Diff</td></tr>
+<tr><td style="width: 25%;"><a href="trim.html">trimStr,</a></td>
+<td>Methods to Remove Unsemantic Text Prior to Diff</td></tr>
+<tr><td style="width: 25%;"><a href="trim.html">trimStr-method</a></td>
+<td>Methods to Remove Unsemantic Text Prior to Diff</td></tr>
+</table>
+
+<h2><a id="V">-- V --</a></h2>
+
+<table style="width: 100%;">
+<tr><td style="width: 25%;"><a href="view_or_browse.html">view_or_browse</a></td>
+<td>Invoke IDE Viewer If Available, browseURL If Not</td></tr>
+</table>
+
+<h2><a id="W">-- W --</a></h2>
+
+<table style="width: 100%;">
+<tr><td style="width: 25%;"><a href="webfiles.html">webfiles</a></td>
+<td>Return Location of Default HTML Support Files</td></tr>
+</table>
+
+<h2><a id="misc">-- misc --</a></h2>
+
+<table style="width: 100%;">
+<tr><td style="width: 25%;"><a href="Extract_PaletteOfStyles.html">[-method</a></td>
+<td>Extract/Replace a Style Class or Object from PaletteOfStyles</td></tr>
+<tr><td style="width: 25%;"><a href="extract-Diff-method.html">[-method</a></td>
+<td>Subsetting Methods for Diff Objects</td></tr>
+<tr><td style="width: 25%;"><a href="Extract_PaletteOfStyles.html">[&lt;--method</a></td>
+<td>Extract/Replace a Style Class or Object from PaletteOfStyles</td></tr>
+<tr><td style="width: 25%;"><a href="Extract_PaletteOfStyles.html">[[-method</a></td>
+<td>Extract/Replace a Style Class or Object from PaletteOfStyles</td></tr>
+</table>
+</div></body></html>

Property changes on: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/diffobj/html/00Index.html
___________________________________________________________________
Added: svn:mime-type
   + text/plain

Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/diffobj/html/R.css
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/diffobj/html/R.css	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/diffobj/html/R.css	(revision 3761)
@@ -0,0 +1,120 @@
+@media screen {
+    .container {
+	padding-right: 10px;
+	padding-left: 10px;
+	margin-right: auto;
+	margin-left: auto;
+	max-width: 900px;
+    }
+}
+
+.rimage img { /* from knitr - for examples and demos */
+    width: 96%;
+    margin-left: 2%;
+} 	
+
+.katex { font-size: 1.1em; }
+
+code {
+    color: inherit;
+    background: inherit;
+}
+
+body {
+    line-height: 1.4;
+    background: white;
+    color: black;
+}
+
+a:link {
+    background: white;
+    color: blue;
+}
+
+a:visited {
+    background: white;
+    color: rgb(50%, 0%, 50%);
+}
+
+h1 {
+    background: white;
+    color: rgb(55%, 55%, 55%);
+    font-family: monospace;
+    font-size: 1.4em; /* x-large; */
+    text-align: center;
+}
+
+h2 {
+    background: white;
+    color: rgb(40%, 40%, 40%);
+    font-family: monospace;
+    font-size: 1.2em; /* large; */
+    text-align: center;
+}
+
+h3 {
+    background: white;
+    color: rgb(40%, 40%, 40%);
+    font-family: monospace;
+    font-size: 1.2em; /* large; */
+}
+
+h4 {
+    background: white;
+    color: rgb(40%, 40%, 40%);
+    font-family: monospace;
+    font-style: italic;
+    font-size: 1.2em; /* large; */
+}
+
+h5 {
+    background: white;
+    color: rgb(40%, 40%, 40%);
+    font-family: monospace;
+}
+
+h6 {
+    background: white;
+    color: rgb(40%, 40%, 40%);
+    font-family: monospace;
+    font-style: italic;
+}
+
+img.toplogo {
+    width: 4em;
+    vertical-align: middle;
+}
+
+img.arrow {
+    width: 30px;
+    height: 30px;
+    border: 0;
+}
+
+span.acronym {
+    font-size: small;
+}
+
+span.env {
+    font-family: monospace;
+}
+
+span.file {
+    font-family: monospace;
+}
+
+span.option{
+    font-family: monospace;
+}
+
+span.pkg {
+    font-weight: bold;
+}
+
+span.samp{
+    font-family: monospace;
+}
+
+div.vignettes a:hover {
+    background: rgb(85%, 85%, 85%);
+}

Property changes on: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/diffobj/html/R.css
___________________________________________________________________
Added: svn:mime-type
   + text/plain

Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/diffobj/script/diffobj.js
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/diffobj/script/diffobj.js	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/diffobj/script/diffobj.js	(revision 3761)
@@ -0,0 +1,166 @@
+// diffobj - Compare R Objects with a Diff
+// Copyright (C) 2021 Brodie Gaslam
+//
+// This program is free software: you can redistribute it and/or modify
+// it under the terms of the GNU General Public License as published by
+// the Free Software Foundation, either version 3 of the License, or
+// (at your option) any later version.
+//
+// This program is distributed in the hope that it will be useful,
+// but WITHOUT ANY WARRANTY; without even the implied warranty of
+// MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
+// GNU General Public License for more details.
+//
+// Go to <https://www.r-project.org/Licenses/GPL-3> for a copy of the license.
+
+/*
+ * Resizes diff by changing font-size using a hidden row of sample output as
+ * a reference
+ *
+ * NOTE: this code is intended to be loaded after the HTML has been rendered
+ * and is assumed to be the only JS on the page.  It should only be included
+ * as part of output when in "page" mode and should not be embedded in other
+ * content.  For that, use the HTML/CSS only outputs.
+ */
+
+var meta = document.getElementById("diffobj_meta");
+var meta_cont = document.getElementById("diffobj_content_meta");
+var meta_banner = document.getElementById("diffobj_banner_meta");
+var content = document.getElementById("diffobj_content");
+var outer = document.getElementById("diffobj_outer");
+
+if(
+  meta == null || content == null || outer == null ||
+  meta_cont == null || meta_banner == null
+)
+  throw new Error("Unable to find meta and content; contact maintainer.");
+
+var row = meta_cont.getElementsByClassName("row");
+
+if(row.length != 1)
+  throw new Error("Unexpected row struct in meta block; contact maintainer.");
+
+var lines = meta_cont.getElementsByClassName("line");
+
+if(lines.length != 1 && lines.length != 2)
+  throw new Error("Unexpected lines in meta block; contact maintainer.");
+
+var meta_bnr_gutter =
+  document.querySelector("#diffobj_banner_meta .line .gutter");
+var meta_bnr_delete =
+  document.querySelector("#diffobj_banner_meta .line .text>.delete");
+var meta_bnr_text =
+  document.querySelector("#diffobj_banner_meta .line .text");
+
+var bnr_gutters =
+  document.querySelectorAll("#diffobj_content .line.banner .gutter");
+var bnr_text_div =
+  document.querySelectorAll("#diffobj_content .line.banner .text>DIV");
+
+if(
+    meta_bnr_gutter == null || meta_bnr_delete == null ||
+    bnr_gutters.length != 2 || bnr_text_div.length != 2
+  )
+  throw new Error("Unable to get meta banner objects")
+
+// Set the banners to 'fixed'; need to be in auto by default
+
+for(i = 0; i < 2; i++) bnr_text_div[i].style.tableLayout = "fixed";
+
+// - Set Min Width -------------------------------------------------------------
+
+// Makes sure that we don't wrap under "native" width
+// Note we need to pad because scrollWidth appears to truncate floats to int
+
+meta.style.display = "block";
+var min_width = 0;
+for(i = 0; i < lines.length; i++) min_width += lines[i].scrollWidth + 1;
+meta.style.display = "none";
+
+content.style.minWidth = min_width + "px";
+
+function resize_diff_out(scale) {
+
+  // - Get object refs ---------------------------------------------------------
+
+
+  // - Get Sizes ---------------------------------------------------------------
+
+  meta.style.display = "block";
+
+  // The getComputedStyle business won't work on IE9 or lower; need to detect
+  // and implement work-around
+
+  var b_t, b_d_w, b_d_o, b_g;
+  b_g = parseFloat(window.getComputedStyle(meta_bnr_gutter).width);
+  b_d_o = meta_bnr_delete.offsetWidth;
+  b_d_w = parseFloat(window.getComputedStyle(meta_bnr_delete).width);
+  b_t = parseFloat(window.getComputedStyle(meta_bnr_text).width);
+
+  meta.style.display = "none";
+
+  // - Set Sizes ---------------------------------------------------------------
+
+  for(i = 0; i < 2; i++) {
+    bnr_gutters[i].style.width = b_g + "px";
+    // for some reason table fixed width computation doesn't properly account
+    // for padding and lines
+    bnr_text_div[i].style.width = b_t - b_d_o + b_d_w + "px";
+  }
+  var w = document.body.clientWidth;
+  var scale_size = w / min_width;
+
+  if(scale_size < 1) {
+
+    if(scale) {
+      content.style.transform = "scale(" + scale_size + ")";
+      content.style.transformOrigin = "top left";
+      content.style.webkitTransform = "scale(" + scale_size + ")";
+      content.style.webkitTransformOrigin = "top left";
+      content.style.msTransform = "scale(" + scale_size + ")";
+      content.style.msTransformOrigin = "top left";
+      content.style.MozTransform = "scale(" + scale_size + ")";
+      content.style.MozTransformOrigin = "top left";
+      content.style.oTransform = "scale(" + scale_size + ")";
+      content.style.oTransformOrigin = "top left";
+
+      var cont_rec_h = content.getBoundingClientRect().height;
+
+      if(cont_rec_h) {
+        outer.style.height = cont_rec_h + "px";
+      }
+    }
+    var cont_rec_w = content.getBoundingClientRect().width;
+    if(cont_rec_w) {
+      outer.style.width = cont_rec_w + "px";
+    }
+  } else {
+    content.style.transform = "none";
+    content.style.MozTransform = "none";
+    content.style.webkitTransform = "none";
+    content.style.msTransform = "none";
+    content.style.oTransform = "none";
+    outer.style.height = "auto";
+    outer.style.width = "auto";
+  }
+};
+/*
+ * Manage resize timeout based on how large the object is
+ */
+
+var out_rows = content.getElementsByClassName("row").length;
+var timeout_time;
+if(out_rows < 100) {
+  timeout_time = 25;
+} else {
+  timeout_time = Math.min(25 + (out_rows - 100) / 4, 500)
+}
+
+var timeout;
+function resize_window(f, scale) {
+  clearTimeout(timeout);
+  timeout = setTimeout(f, timeout_time, scale);
+}
+
+function resize_diff_out_scale() {resize_window(resize_diff_out, true);}
+function resize_diff_out_no_scale() {resize_window(resize_diff_out, false);}
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/diffobj/doc/embed.R
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/diffobj/doc/embed.R	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/diffobj/doc/embed.R	(revision 3761)
@@ -0,0 +1,68 @@
+## ----echo=FALSE---------------------------------------------------------------
+library(diffobj)
+
+## ----results='asis'-----------------------------------------------------------
+cat(
+  as.character(
+    diffPrint(
+      1:5, 2:6,
+      format="html",
+      style=list(html.output="diff.w.style")
+) ) )
+
+## ----results='asis'-----------------------------------------------------------
+cat(
+  as.character(
+    diffPrint(
+      1:5, 2:6,
+      format="html",
+      style=list(html.output="diff.only")   # notice this changed
+) ) )
+
+## ----eval=FALSE---------------------------------------------------------------
+#  options(
+#    diffobj.format="html",
+#    diffobj.style=list(html.output="diff.only")
+#  )
+
+## ----echo=FALSE---------------------------------------------------------------
+old.opts <- options(
+  diffobj.format="html",
+  diffobj.style=list(html.output="diff.only")
+)
+
+## ----results='asis'-----------------------------------------------------------
+cat(as.character(diffPrint(1:5, 2:6)))
+
+## ----echo=FALSE---------------------------------------------------------------
+options(old.opts)
+
+## ---- eval=FALSE--------------------------------------------------------------
+#  library(shiny)
+#  shinyApp(
+#    ui=fluidPage(htmlOutput('diffobj_element')),
+#    server=function(input, output) {
+#      output$diffobj_element <- renderUI({
+#        HTML(
+#          as.character(
+#            diffPrint(
+#              1:5, 2:6,
+#              format="html",
+#              style=list(html.output="diff.w.style")
+#  ) ) )}) } )
+
+## ---- eval=FALSE--------------------------------------------------------------
+#  options(
+#    diffobj.format="html",
+#    diffobj.style=list(html.output="diff.only")
+#  )
+#  shinyApp(
+#    ui=fluidPage(
+#      includeCSS(diffobj_css()),
+#      htmlOutput('diffobj_element')
+#    ),
+#    server=function(input, output) {
+#      output$diffobj_element <- renderUI({
+#        HTML(as.character(diffPrint(1:5, 2:6,)))
+#  }) } )
+
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/diffobj/doc/embed.Rmd
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/diffobj/doc/embed.Rmd	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/diffobj/doc/embed.Rmd	(revision 3761)
@@ -0,0 +1,181 @@
+---
+title: "Embed Diffs in R Markdown Or Shiny"
+author: "Brodie Gaslam"
+output:
+    rmarkdown::html_vignette:
+        toc: true
+        css:
+          - !expr diffobj::diffobj_css()
+          - styles.css
+vignette: >
+  %\VignetteIndexEntry{Embed Diffs in R Markdown Or Shiny}
+  %\VignetteEngine{knitr::rmarkdown}
+  \usepackage[utf8]{inputenc}
+
+---
+
+```{r echo=FALSE}
+library(diffobj)
+```
+
+## Rmarkdown
+
+### Basic Requirements
+
+Any R chunks that produce diffs should include the `results='asis'` option,
+e.g.:
+
+````
+```{r, comment="", results="asis"}`r ''`
+# R code here
+```
+````
+
+### Embedded CSS
+
+This is what a basic code block should look like:
+
+````
+```{r, comment="", results="asis"}`r ''`
+cat(                                 # output to screen
+  as.character(                      # convert to diff to character vector
+    diffPrint(                       # run diff
+      1:5, 2:6,
+      format="html",                 # specify html output
+      style=list(
+        html.output="diff.w.style"   # configure html style
+      )
+) ) )
+```
+````
+
+Here we use this same code as an actual markdown R code block:
+
+```{r results='asis'}
+cat(
+  as.character(
+    diffPrint(
+      1:5, 2:6,
+      format="html",
+      style=list(html.output="diff.w.style")
+) ) )
+```
+
+This is an ugly implementation because it produces illegal HTML.  The styles are
+directly embedded in the body of the document, outside of the HEAD tags.
+Although this is illegal HTML, it seems to work in most browsers.  Another
+problem is that every diff you use in your document will inject the same CSS
+code over and over.
+
+### External CSS
+
+A better option is to provide the CSS directly by modifying the `output`
+portion of the [YAML
+header](https://bookdown.org/yihui/rmarkdown/r-package-vignette.html):
+
+```
+---
+output:
+    rmarkdown::html_vignette:
+        toc: true
+        css: !expr diffobj::diffobj_css()
+---
+```
+
+In reality you will probably want to specify multiple CSS files, including the
+original `rmarkdown` one:
+
+```
+---
+output:
+    rmarkdown::html_vignette:
+        toc: true
+        css:
+          - !expr diffobj::diffobj_css()
+          - !expr system.file("rmarkdown", "templates", "html_vignette", "resources", "vignette.css", package = "rmarkdown")
+---
+```
+
+Once you set this up then you can use:
+
+```{r results='asis'}
+cat(
+  as.character(
+    diffPrint(
+      1:5, 2:6,
+      format="html",
+      style=list(html.output="diff.only")   # notice this changed
+) ) )
+```
+
+This will omit the CSS, but since we include it via the YAML everything should
+work as expected.
+
+### Use Options
+
+Almost all `diffobj` parameters can be specified via options:
+
+```{r eval=FALSE}
+options(
+  diffobj.format="html",
+  diffobj.style=list(html.output="diff.only")
+)
+```
+```{r echo=FALSE}
+old.opts <- options(
+  diffobj.format="html",
+  diffobj.style=list(html.output="diff.only")
+)
+```
+Then you can just run the diff as normal:
+```{r results='asis'}
+cat(as.character(diffPrint(1:5, 2:6)))
+```
+```{r echo=FALSE}
+options(old.opts)
+```
+
+## Shiny
+
+Shiny usage is very similar to `rmarkdown`.  In both cases we want to get
+`diffobj` to produce HTML output to embed in our document.  If we are willing to
+embed the CSS with each diff, we can use:
+
+```{r, eval=FALSE}
+library(shiny)
+shinyApp(
+  ui=fluidPage(htmlOutput('diffobj_element')),
+  server=function(input, output) {
+    output$diffobj_element <- renderUI({
+      HTML(
+        as.character(
+          diffPrint(
+            1:5, 2:6,
+            format="html",
+            style=list(html.output="diff.w.style")
+) ) )}) } )
+```
+
+If we have many diffs, it may be preferable to use options and external
+style sheet:
+
+```{r, eval=FALSE}
+options(
+  diffobj.format="html",
+  diffobj.style=list(html.output="diff.only")
+)
+shinyApp(
+  ui=fluidPage(
+    includeCSS(diffobj_css()),
+    htmlOutput('diffobj_element')
+  ),
+  server=function(input, output) {
+    output$diffobj_element <- renderUI({
+      HTML(as.character(diffPrint(1:5, 2:6,)))
+}) } )
+```
+
+Unlike with our [rmarkdown example](#external-css), this CSS is included
+in the body of the HTML document instead of in the header, so it is technically
+illegal like in our [embedded css example](#embedded-css).
+
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/diffobj/doc/embed.html
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/diffobj/doc/embed.html	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/diffobj/doc/embed.html	(revision 3761)
@@ -0,0 +1,826 @@
+<!DOCTYPE html>
+
+<html>
+
+<head>
+
+<meta charset="utf-8" />
+<meta name="generator" content="pandoc" />
+<meta http-equiv="X-UA-Compatible" content="IE=EDGE" />
+
+<meta name="viewport" content="width=device-width, initial-scale=1" />
+
+<meta name="author" content="Brodie Gaslam" />
+
+
+<title>Embed Diffs in R Markdown Or Shiny</title>
+
+
+<style type="text/css">
+  code{white-space: pre-wrap;}
+  span.smallcaps{font-variant: small-caps;}
+  span.underline{text-decoration: underline;}
+  div.column{display: inline-block; vertical-align: top; width: 50%;}
+  div.hanging-indent{margin-left: 1.5em; text-indent: -1.5em;}
+  ul.task-list{list-style: none;}
+    </style>
+
+
+<style type="text/css">
+  code {
+    white-space: pre;
+  }
+  .sourceCode {
+    overflow: visible;
+  }
+</style>
+<style type="text/css" data-origin="pandoc">
+a.sourceLine { display: inline-block; line-height: 1.25; }
+a.sourceLine { pointer-events: none; color: inherit; text-decoration: inherit; }
+a.sourceLine:empty { height: 1.2em; position: absolute; }
+.sourceCode { overflow: visible; }
+code.sourceCode { white-space: pre; position: relative; }
+div.sourceCode { margin: 1em 0; }
+pre.sourceCode { margin: 0; }
+@media screen {
+div.sourceCode { overflow: auto; }
+}
+@media print {
+code.sourceCode { white-space: pre-wrap; }
+a.sourceLine { text-indent: -1em; padding-left: 1em; }
+}
+pre.numberSource a.sourceLine
+  { position: relative; }
+pre.numberSource a.sourceLine:empty
+  { position: absolute; }
+pre.numberSource a.sourceLine::before
+  { content: attr(data-line-number);
+    position: absolute; left: -5em; text-align: right; vertical-align: baseline;
+    border: none; pointer-events: all;
+    -webkit-touch-callout: none; -webkit-user-select: none;
+    -khtml-user-select: none; -moz-user-select: none;
+    -ms-user-select: none; user-select: none;
+    padding: 0 4px; width: 4em;
+    color: #aaaaaa;
+  }
+pre.numberSource { margin-left: 3em; border-left: 1px solid #aaaaaa;  padding-left: 4px; }
+div.sourceCode
+  {  }
+@media screen {
+a.sourceLine::before { text-decoration: underline; }
+}
+code span.al { color: #ff0000; font-weight: bold; } /* Alert */
+code span.an { color: #60a0b0; font-weight: bold; font-style: italic; } /* Annotation */
+code span.at { color: #7d9029; } /* Attribute */
+code span.bn { color: #40a070; } /* BaseN */
+code span.bu { } /* BuiltIn */
+code span.cf { color: #007020; font-weight: bold; } /* ControlFlow */
+code span.ch { color: #4070a0; } /* Char */
+code span.cn { color: #880000; } /* Constant */
+code span.co { color: #60a0b0; font-style: italic; } /* Comment */
+code span.cv { color: #60a0b0; font-weight: bold; font-style: italic; } /* CommentVar */
+code span.do { color: #ba2121; font-style: italic; } /* Documentation */
+code span.dt { color: #902000; } /* DataType */
+code span.dv { color: #40a070; } /* DecVal */
+code span.er { color: #ff0000; font-weight: bold; } /* Error */
+code span.ex { } /* Extension */
+code span.fl { color: #40a070; } /* Float */
+code span.fu { color: #06287e; } /* Function */
+code span.im { } /* Import */
+code span.in { color: #60a0b0; font-weight: bold; font-style: italic; } /* Information */
+code span.kw { color: #007020; font-weight: bold; } /* Keyword */
+code span.op { color: #666666; } /* Operator */
+code span.ot { color: #007020; } /* Other */
+code span.pp { color: #bc7a00; } /* Preprocessor */
+code span.sc { color: #4070a0; } /* SpecialChar */
+code span.ss { color: #bb6688; } /* SpecialString */
+code span.st { color: #4070a0; } /* String */
+code span.va { color: #19177c; } /* Variable */
+code span.vs { color: #4070a0; } /* VerbatimString */
+code span.wa { color: #60a0b0; font-weight: bold; font-style: italic; } /* Warning */
+
+</style>
+<script>
+// apply pandoc div.sourceCode style to pre.sourceCode instead
+(function() {
+  var sheets = document.styleSheets;
+  for (var i = 0; i < sheets.length; i++) {
+    if (sheets[i].ownerNode.dataset["origin"] !== "pandoc") continue;
+    try { var rules = sheets[i].cssRules; } catch (e) { continue; }
+    for (var j = 0; j < rules.length; j++) {
+      var rule = rules[j];
+      // check if there is a div.sourceCode rule
+      if (rule.type !== rule.STYLE_RULE || rule.selectorText !== "div.sourceCode") continue;
+      var style = rule.style.cssText;
+      // check if color or background-color is set
+      if (rule.style.color === '' && rule.style.backgroundColor === '') continue;
+      // replace div.sourceCode by a pre.sourceCode rule
+      sheets[i].deleteRule(j);
+      sheets[i].insertRule('pre.sourceCode{' + style + '}', j);
+    }
+  }
+})();
+</script>
+
+
+
+
+<style type="text/css">
+
+DIV.diffobj-container PRE.diffobj-content {
+white-space: pre-wrap;
+margin: 0;
+}
+DIV.diffobj-container DIV.diffobj-row {
+width: 100%;
+font-family: monospace;
+display: table;
+table-layout: fixed;
+}
+DIV.diffobj-container DIV.diffobj-line {
+width: auto;
+display: table-cell;
+overflow: hidden;
+}
+DIV.diffobj-container DIV.diffobj-line>DIV {
+width: 100%;
+display: table;
+table-layout: auto;
+}
+DIV.diffobj-container DIV.diffobj-line.banner>DIV {
+display: table;
+table-layout: auto; 
+}
+DIV.diffobj-container DIV.diffobj-text {
+display: table-cell;
+width: 100%;
+}
+DIV.diffobj-container DIV.diffobj-gutter {
+display: table-cell;
+padding: 0 0.2em;
+}
+DIV.diffobj-container DIV.diffobj-gutter DIV {
+display: table-cell;
+}
+#diffobj_content_meta DIV.diffobj-container DIV.diffobj-row {
+width: auto;
+}
+#diffobj_banner_meta DIV.diffobj-container DIV.diffobj-line.banner>DIV {
+table-layout: auto;
+}
+#diffobj_outer {
+overflow: hidden;
+}
+ DIV.diffobj-container DIV.diffobj-summary DIV.map {
+word-wrap: break-word;
+padding-left: 1em;
+}
+DIV.diffobj-container DIV.diffobj-summary DIV.detail {
+padding-left: 1em;
+}
+
+DIV.diffobj-container DIV.diffobj-line.banner {
+font-size: 1.2em;
+font-weight: bold;
+overflow: hidden;
+}
+
+DIV.diffobj-container DIV.diffobj-line.banner DIV.diffobj-text DIV{
+white-space: nowrap;
+overflow: hidden;
+text-overflow: ellipsis;
+width: 100%; 
+}
+DIV.diffobj-container DIV.diffobj-gutter,
+DIV.diffobj-container DIV.diffobj-guide,
+DIV.diffobj-container DIV.diffobj-fill,
+DIV.diffobj-container DIV.context_sep,
+DIV.diffobj-container SPAN.diffobj-trim {
+color: #999;
+}
+DIV.diffobj-container DIV.diffobj-header {
+font-size: 1.1em;
+}
+DIV.diffobj-container DIV.diffobj-text>DIV.diffobj-match,
+DIV.diffobj-container DIV.diffobj-text>DIV.diffobj-guide {
+background-color: #ffffff;
+}
+DIV.diffobj-container DIV.diffobj-text>DIV.diffobj-fill {
+background-color: transparent;
+}
+DIV.diffobj-container DIV.diffobj-text>DIV {
+padding-right: 3px;
+}
+DIV.diffobj-container DIV.diffobj-text>DIV {
+border-left: 1px solid #888888;
+}
+DIV.diffobj-container DIV.diffobj-line {
+background-color: #eeeeee;
+}
+DIV.diffobj-container DIV.diffobj-text>DIV,
+DIV.diffobj-container DIV.diffobj-header {
+padding-left: 0.5em;
+}
+DIV.diffobj-container DIV.diffobj-line>DIV.diffobj-match,
+DIV.diffobj-container DIV.diffobj-line>DIV.diffobj-fill,
+DIV.diffobj-container DIV.diffobj-line>DIV.diffobj-guide {
+border-left: 1px solid #888888;
+}
+
+DIV.diffobj-container.light.rgb SPAN.diffobj-word.insert,
+DIV.diffobj-container.light.rgb DIV.diffobj-line>DIV.insert {
+background-color: #a6f3a6;
+}
+DIV.diffobj-container.light.rgb SPAN.diffobj-word.delete,
+DIV.diffobj-container.light.rgb DIV.diffobj-line>DIV.delete {
+background-color: #f8c2c2;
+}
+DIV.diffobj-container.light.rgb DIV.diffobj-text>DIV.insert {
+background-color: #efffef;
+}
+DIV.diffobj-container.light.rgb DIV.diffobj-text>DIV.insert,
+DIV.diffobj-container.light.rgb DIV.diffobj-line>DIV.insert {
+border-left: 1px solid #33bb33;
+}
+DIV.diffobj-container.light.rgb DIV.diffobj-text>DIV.delete {
+background-color: #ffefef;
+}
+DIV.diffobj-container.light.rgb DIV.diffobj-text>DIV.delete,
+DIV.diffobj-container.light.rgb DIV.diffobj-line>DIV.delete {
+border-left: 1px solid #cc6666;
+}
+DIV.diffobj-container.light.rgb DIV.diffobj-header {
+background-color: #e0e6fa;
+border-left: 1px solid #9894b6;
+}
+
+DIV.diffobj-container.light.yb SPAN.diffobj-word.insert,
+DIV.diffobj-container.light.yb DIV.diffobj-line>DIV.insert {
+background-color: #c0cfff;
+}
+DIV.diffobj-container.light.yb SPAN.diffobj-word.delete,
+DIV.diffobj-container.light.yb DIV.diffobj-line>DIV.delete {
+background-color: #e7e780;
+}
+DIV.diffobj-container.light.yb DIV.diffobj-text>DIV.insert {
+background-color: #efefff;
+}
+DIV.diffobj-container.light.yb DIV.diffobj-text>DIV.insert,
+DIV.diffobj-container.light.yb DIV.diffobj-line>DIV.insert {
+border-left: 1px solid #3333bb;
+}
+DIV.diffobj-container.light.yb DIV.diffobj-text>DIV.delete {
+background-color: #fefee5;
+}
+DIV.diffobj-container.light.yb DIV.diffobj-text>DIV.delete,
+DIV.diffobj-container.light.yb DIV.diffobj-line>DIV.delete {
+border-left: 1px solid #aaaa55;
+}
+DIV.diffobj-container.light.yb DIV.diffobj-header {
+background-color: #afafaf;
+border-left: 1px solid #e3e3e3;
+color: #e9e9e9;
+}
+DIV.diffobj-container.light.yb DIV.diffobj-line {
+background-color: #eeeeee;
+}
+</style>
+<style type="text/css">
+body {
+background-color: #fff;
+margin: 1em auto;
+max-width: 700px;
+overflow: visible;
+padding-left: 2em;
+padding-right: 2em;
+font-family: "Open Sans", "Helvetica Neue", Helvetica, Arial, sans-serif;
+font-size: 14px;
+line-height: 1.5;
+}
+#header {
+text-align: center;
+}
+#TOC {
+clear: both;
+
+padding: 4px;
+width: 100%;
+border: 1px solid #CCCCCC;
+border-radius: 5px;
+background-color: #f6f6f6;
+font-size: 13px;
+line-height: 1.3;
+}
+#TOC .toctitle {
+font-weight: bold;
+font-size: 15px;
+margin-left: 5px;
+}
+#TOC ul {
+padding-left: 40px;
+margin-left: -1.5em;
+margin-top: 5px;
+margin-bottom: 5px;
+}
+#TOC ul ul {
+margin-left: -2em;
+}
+#TOC li {
+line-height: 16px;
+}
+table {
+margin: 1em auto;
+border-width: 1px;
+border-color: #DDDDDD;
+border-style: outset;
+border-collapse: collapse;
+}
+table th {
+border-width: 2px;
+padding: 5px;
+border-style: inset;
+}
+table td {
+border-width: 1px;
+border-style: inset;
+line-height: 18px;
+padding: 5px 5px;
+}
+table, table th, table td {
+border-left-style: none;
+border-right-style: none;
+}
+table thead, table tr.even {
+background-color: #f7f7f7;
+}
+p {
+margin: 1em 0;
+}
+blockquote {
+background-color: #f6f6f6;
+padding: 0.25em 0.75em;
+}
+hr {
+border-style: solid;
+border: none;
+border-top: 1px solid #777;
+margin: 28px 0;
+}
+dl {
+margin-left: 0;
+}
+dl dd {
+margin-bottom: 13px;
+margin-left: 13px;
+}
+dl dt {
+font-weight: bold;
+}
+ul {
+margin-top: 0;
+}
+ul li {
+list-style: circle outside;
+}
+ul ul {
+margin-bottom: 0;
+}
+h3.subtitle {
+margin-top: -23px;
+}
+pre, code {
+background-color: #EEE;
+color: #333;
+
+}
+pre {
+border: 2px solid #EEE;
+overflow: auto;
+white-space: pre-wrap; 
+
+margin: 5px 0px;
+padding: 5px 10px;
+font-size: 85%;
+}
+pre:not([class]) {
+color: #353;
+
+}
+div.sourceCode pre, div.sourceCode code {
+background-color: #FAFAFA;
+}
+div.sourceCode pre{
+
+}
+div.sourceCode + pre,
+div.sourceCode + div.diffobj-container {
+margin-top: -5px;
+}
+div.diffobj-container pre.diffobj-content {
+line-height: 1.3;
+}
+
+code {
+font-family: Consolas, Monaco, 'Courier New', monospace;
+}
+p > code, li > code, h1 > code, h2 > code, h3 > code,
+h4 > code, h5 > code, h6 > code {
+padding: 2px 0px;
+line-height: 1;
+font-weight: bold;
+}
+div.figure {
+text-align: center;
+}
+img {
+background-color: #FFFFFF;
+padding: 2px;
+border: 1px solid #DDDDDD;
+border-radius: 3px;
+border: 1px solid #CCCCCC;
+margin: 0 5px;
+}
+h1 {
+margin-top: 0;
+padding-bottom: 3px;
+font-size: 35px;
+line-height: 40px;
+border-bottom: 1px solid #999;
+}
+h2 {
+border-bottom: 1px solid #999;
+padding-top: 5px;
+padding-bottom: 2px;
+font-size: 145%;
+}
+h3 {
+padding-top: 5px;
+font-size: 120%;
+}
+h4 {
+
+color: #777;
+font-size: 105%;
+}
+h4.author, h4.date {display: none;}
+h5, h6 {
+
+font-size: 105%;
+}
+a {
+color: #2255dd;
+font-weight: bold;
+text-decoration: none;
+}
+a:hover {
+color: #6666ff; }
+a:visited {
+color: #800080; }
+a:visited:hover {
+color: #BB00BB; }
+a[href^="http:"] {
+text-decoration: underline; }
+a[href^="https:"] {
+text-decoration: underline; }
+
+code > span.kw { color: #555; font-weight: bold; } 
+code > span.dt { color: #902000; } 
+code > span.dv { color: #40a070; } 
+code > span.bn { color: #d14; } 
+code > span.fl { color: #d14; } 
+code > span.ch { color: #d14; } 
+code > span.st { color: #d14; } 
+code > span.co { color: #888888; font-style: italic; } 
+code > span.ot { color: #007020; } 
+code > span.al { color: #ff0000; font-weight: bold; } 
+code > span.fu { color: #900; font-weight: bold; } 
+code > span.er { color: #a61717; background-color: #e3d2d2; } 
+</style>
+
+
+
+
+</head>
+
+<body>
+
+
+
+
+<h1 class="title toc-ignore">Embed Diffs in R Markdown Or Shiny</h1>
+<h4 class="author">Brodie Gaslam</h4>
+
+
+<div id="TOC">
+<ul>
+<li><a href="#rmarkdown">Rmarkdown</a><ul>
+<li><a href="#basic-requirements">Basic Requirements</a></li>
+<li><a href="#embedded-css">Embedded CSS</a></li>
+<li><a href="#external-css">External CSS</a></li>
+<li><a href="#use-options">Use Options</a></li>
+</ul></li>
+<li><a href="#shiny">Shiny</a></li>
+</ul>
+</div>
+
+<div id="rmarkdown" class="section level2">
+<h2>Rmarkdown</h2>
+<div id="basic-requirements" class="section level3">
+<h3>Basic Requirements</h3>
+<p>Any R chunks that produce diffs should include the <code>results='asis'</code> option, e.g.:</p>
+<pre><code>```{r, comment=&quot;&quot;, results=&quot;asis&quot;}
+# R code here
+```</code></pre>
+</div>
+<div id="embedded-css" class="section level3">
+<h3>Embedded CSS</h3>
+<p>This is what a basic code block should look like:</p>
+<pre><code>```{r, comment=&quot;&quot;, results=&quot;asis&quot;}
+cat(                                 # output to screen
+  as.character(                      # convert to diff to character vector
+    diffPrint(                       # run diff
+      1:5, 2:6,
+      format=&quot;html&quot;,                 # specify html output
+      style=list(
+        html.output=&quot;diff.w.style&quot;   # configure html style
+      )
+) ) )
+```</code></pre>
+<p>Here we use this same code as an actual markdown R code block:</p>
+<div class="sourceCode" id="cb3"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb3-1" data-line-number="1"><span class="kw">cat</span>(</a>
+<a class="sourceLine" id="cb3-2" data-line-number="2">  <span class="kw">as.character</span>(</a>
+<a class="sourceLine" id="cb3-3" data-line-number="3">    <span class="kw">diffPrint</span>(</a>
+<a class="sourceLine" id="cb3-4" data-line-number="4">      <span class="dv">1</span><span class="op">:</span><span class="dv">5</span>, <span class="dv">2</span><span class="op">:</span><span class="dv">6</span>,</a>
+<a class="sourceLine" id="cb3-5" data-line-number="5">      <span class="dt">format=</span><span class="st">&quot;html&quot;</span>,</a>
+<a class="sourceLine" id="cb3-6" data-line-number="6">      <span class="dt">style=</span><span class="kw">list</span>(<span class="dt">html.output=</span><span class="st">&quot;diff.w.style&quot;</span>)</a>
+<a class="sourceLine" id="cb3-7" data-line-number="7">) ) )</a></code></pre></div>
+<style type="text/css">
+/* Structural CSS ------------------------------------------------------------*/
+/*
+ * TBD whether we want a more fully table like structure; some of the visual
+ * cues provided by the current set-up are useful (line wraps, etc.)
+ */
+
+DIV.diffobj-container PRE.diffobj-content {
+  white-space: pre-wrap;
+  margin: 0;
+}
+DIV.diffobj-container DIV.diffobj-row {
+  width: 100%;
+  font-family: monospace;
+  display: table;
+  table-layout: fixed;
+}
+DIV.diffobj-container DIV.diffobj-line {
+  width: auto;
+  display: table-cell;
+  overflow: hidden;
+}
+DIV.diffobj-container DIV.diffobj-line>DIV {
+  width: 100%;
+  display: table;
+  table-layout: auto;
+}
+DIV.diffobj-container DIV.diffobj-line.banner>DIV {
+  display: table;
+  table-layout: auto; /* set to fixed in JS */
+}
+DIV.diffobj-container DIV.diffobj-text {
+  display: table-cell;
+  width: 100%;
+}
+DIV.diffobj-container DIV.diffobj-gutter {
+  display: table-cell;
+  padding: 0 0.2em;
+}
+DIV.diffobj-container DIV.diffobj-gutter DIV {
+  display: table-cell;
+}
+#diffobj_content_meta DIV.diffobj-container DIV.diffobj-row {
+  width: auto;
+}
+#diffobj_banner_meta DIV.diffobj-container DIV.diffobj-line.banner>DIV {
+  table-layout: auto;
+}
+#diffobj_outer {
+  overflow: hidden;
+}
+/* Summary -------------------------------------------------------------------*/ 
+
+DIV.diffobj-container DIV.diffobj-summary DIV.map {
+  word-wrap: break-word;
+  padding-left: 1em;
+}
+DIV.diffobj-container DIV.diffobj-summary DIV.detail {
+  padding-left: 1em;
+}
+
+/* Common elements -----------------------------------------------------------*/
+
+DIV.diffobj-container DIV.diffobj-line.banner {
+  font-size: 1.2em;
+  font-weight: bold;
+  overflow: hidden;
+}
+/* truncate banners */
+DIV.diffobj-container DIV.diffobj-line.banner DIV.diffobj-text DIV{
+  white-space: nowrap;
+  overflow: hidden;
+  text-overflow: ellipsis;
+  width: 100%;             /* need to compute and set in JS */
+}
+DIV.diffobj-container DIV.diffobj-gutter,
+DIV.diffobj-container DIV.diffobj-guide,
+DIV.diffobj-container DIV.diffobj-fill,
+DIV.diffobj-container DIV.context_sep,
+DIV.diffobj-container SPAN.diffobj-trim {
+  color: #999;
+}
+DIV.diffobj-container DIV.diffobj-header {
+  font-size: 1.1em;
+}
+DIV.diffobj-container DIV.diffobj-text>DIV.diffobj-match,
+DIV.diffobj-container DIV.diffobj-text>DIV.diffobj-guide {
+  background-color: #ffffff;
+}
+DIV.diffobj-container DIV.diffobj-text>DIV.diffobj-fill {
+  background-color: transparent;
+}
+DIV.diffobj-container DIV.diffobj-text>DIV {
+  padding-right: 3px;
+}
+DIV.diffobj-container DIV.diffobj-text>DIV {
+  border-left: 1px solid #888888;
+}
+DIV.diffobj-container DIV.diffobj-line {
+  background-color: #eeeeee;
+}
+DIV.diffobj-container DIV.diffobj-text>DIV,
+DIV.diffobj-container DIV.diffobj-header {
+  padding-left: 0.5em;
+}
+DIV.diffobj-container DIV.diffobj-line>DIV.diffobj-match,
+DIV.diffobj-container DIV.diffobj-line>DIV.diffobj-fill,
+DIV.diffobj-container DIV.diffobj-line>DIV.diffobj-guide {
+  border-left: 1px solid #888888;
+}
+/* github inspired color scheme - default ------------------------------------*/
+
+DIV.diffobj-container.light.rgb SPAN.diffobj-word.insert,
+DIV.diffobj-container.light.rgb DIV.diffobj-line>DIV.insert {
+  background-color: #a6f3a6;
+}
+DIV.diffobj-container.light.rgb SPAN.diffobj-word.delete,
+DIV.diffobj-container.light.rgb DIV.diffobj-line>DIV.delete {
+  background-color: #f8c2c2;
+}
+DIV.diffobj-container.light.rgb DIV.diffobj-text>DIV.insert {
+  background-color: #efffef;
+}
+DIV.diffobj-container.light.rgb DIV.diffobj-text>DIV.insert,
+DIV.diffobj-container.light.rgb DIV.diffobj-line>DIV.insert {
+  border-left: 1px solid #33bb33;
+}
+DIV.diffobj-container.light.rgb DIV.diffobj-text>DIV.delete {
+  background-color: #ffefef;
+}
+DIV.diffobj-container.light.rgb DIV.diffobj-text>DIV.delete,
+DIV.diffobj-container.light.rgb DIV.diffobj-line>DIV.delete {
+  border-left: 1px solid #cc6666;
+}
+DIV.diffobj-container.light.rgb DIV.diffobj-header {
+  background-color: #e0e6fa;
+  border-left: 1px solid #9894b6;
+}
+/* Yellow Blue variation -----------------------------------------------------*/
+
+DIV.diffobj-container.light.yb SPAN.diffobj-word.insert,
+DIV.diffobj-container.light.yb DIV.diffobj-line>DIV.insert {
+  background-color: #c0cfff;
+}
+DIV.diffobj-container.light.yb SPAN.diffobj-word.delete,
+DIV.diffobj-container.light.yb DIV.diffobj-line>DIV.delete {
+  background-color: #e7e780;
+}
+DIV.diffobj-container.light.yb DIV.diffobj-text>DIV.insert {
+  background-color: #efefff;
+}
+DIV.diffobj-container.light.yb DIV.diffobj-text>DIV.insert,
+DIV.diffobj-container.light.yb DIV.diffobj-line>DIV.insert {
+  border-left: 1px solid #3333bb;
+}
+DIV.diffobj-container.light.yb DIV.diffobj-text>DIV.delete {
+  background-color: #fefee5;
+}
+DIV.diffobj-container.light.yb DIV.diffobj-text>DIV.delete,
+DIV.diffobj-container.light.yb DIV.diffobj-line>DIV.delete {
+  border-left: 1px solid #aaaa55;
+}
+DIV.diffobj-container.light.yb DIV.diffobj-header {
+  background-color: #afafaf;
+  border-left: 1px solid #e3e3e3;
+  color: #e9e9e9;
+}
+DIV.diffobj-container.light.yb DIV.diffobj-line {
+  background-color: #eeeeee;
+}
+</style>
+<div class="diffobj-container light yb">
+<pre class="diffobj-content"><div class="diffobj-row"><div class="diffobj-line banner"><div class="delete"><div class="diffobj-gutter"><div class="delete">&lt;</div><div class="pad"> </div></div><div class="diffobj-text"><div class="delete"><span class="diffobj-word delete">1:5</span></div></div></div></div><div class="diffobj-line banner"><div class="insert"><div class="diffobj-gutter"><div class="insert">&gt;</div><div class="pad"> </div></div><div class="diffobj-text"><div class="insert"><span class="diffobj-word insert">2:6</span></div></div></div></div></div><div class="diffobj-row"><div class="diffobj-line"><div class="diffobj-header">@@ 1 @@</div></div><div class="diffobj-line"><div class="diffobj-header">@@ 1 @@</div></div></div><div class="diffobj-row"><div class="diffobj-line"><div class="delete"><div class="diffobj-gutter"><div class="delete">&lt;</div><div class="pad"> </div></div><div class="diffobj-text"><div class="delete"><span class="diffobj-trim">[1] </span><span class="diffobj-word delete">1</span> 2 3 4 5<span class="diffobj-trim"></span></div></div></div></div><div class="diffobj-line"><div class="insert"><div class="diffobj-gutter"><div class="insert">&gt;</div><div class="pad"> </div></div><div class="diffobj-text"><div class="insert"><span class="diffobj-trim">[1] </span>2 3 4 5 <span class="diffobj-word insert">6</span><span class="diffobj-trim"></span></div></div></div></div></div></pre>
+</div>
+<p>This is an ugly implementation because it produces illegal HTML. The styles are directly embedded in the body of the document, outside of the HEAD tags. Although this is illegal HTML, it seems to work in most browsers. Another problem is that every diff you use in your document will inject the same CSS code over and over.</p>
+</div>
+<div id="external-css" class="section level3">
+<h3>External CSS</h3>
+<p>A better option is to provide the CSS directly by modifying the <code>output</code> portion of the <a href="https://bookdown.org/yihui/rmarkdown/r-package-vignette.html">YAML header</a>:</p>
+<pre><code>---
+output:
+    rmarkdown::html_vignette:
+        toc: true
+        css: !expr diffobj::diffobj_css()
+---</code></pre>
+<p>In reality you will probably want to specify multiple CSS files, including the original <code>rmarkdown</code> one:</p>
+<pre><code>---
+output:
+    rmarkdown::html_vignette:
+        toc: true
+        css:
+          - !expr diffobj::diffobj_css()
+          - !expr system.file(&quot;rmarkdown&quot;, &quot;templates&quot;, &quot;html_vignette&quot;, &quot;resources&quot;, &quot;vignette.css&quot;, package = &quot;rmarkdown&quot;)
+---</code></pre>
+<p>Once you set this up then you can use:</p>
+<div class="sourceCode" id="cb6"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb6-1" data-line-number="1"><span class="kw">cat</span>(</a>
+<a class="sourceLine" id="cb6-2" data-line-number="2">  <span class="kw">as.character</span>(</a>
+<a class="sourceLine" id="cb6-3" data-line-number="3">    <span class="kw">diffPrint</span>(</a>
+<a class="sourceLine" id="cb6-4" data-line-number="4">      <span class="dv">1</span><span class="op">:</span><span class="dv">5</span>, <span class="dv">2</span><span class="op">:</span><span class="dv">6</span>,</a>
+<a class="sourceLine" id="cb6-5" data-line-number="5">      <span class="dt">format=</span><span class="st">&quot;html&quot;</span>,</a>
+<a class="sourceLine" id="cb6-6" data-line-number="6">      <span class="dt">style=</span><span class="kw">list</span>(<span class="dt">html.output=</span><span class="st">&quot;diff.only&quot;</span>)   <span class="co"># notice this changed</span></a>
+<a class="sourceLine" id="cb6-7" data-line-number="7">) ) )</a></code></pre></div>
+<div class="diffobj-container light yb">
+<pre class="diffobj-content"><div class="diffobj-row"><div class="diffobj-line banner"><div class="delete"><div class="diffobj-gutter"><div class="delete">&lt;</div><div class="pad"> </div></div><div class="diffobj-text"><div class="delete"><span class="diffobj-word delete">1:5</span></div></div></div></div><div class="diffobj-line banner"><div class="insert"><div class="diffobj-gutter"><div class="insert">&gt;</div><div class="pad"> </div></div><div class="diffobj-text"><div class="insert"><span class="diffobj-word insert">2:6</span></div></div></div></div></div><div class="diffobj-row"><div class="diffobj-line"><div class="diffobj-header">@@ 1 @@</div></div><div class="diffobj-line"><div class="diffobj-header">@@ 1 @@</div></div></div><div class="diffobj-row"><div class="diffobj-line"><div class="delete"><div class="diffobj-gutter"><div class="delete">&lt;</div><div class="pad"> </div></div><div class="diffobj-text"><div class="delete"><span class="diffobj-trim">[1] </span><span class="diffobj-word delete">1</span> 2 3 4 5<span class="diffobj-trim"></span></div></div></div></div><div class="diffobj-line"><div class="insert"><div class="diffobj-gutter"><div class="insert">&gt;</div><div class="pad"> </div></div><div class="diffobj-text"><div class="insert"><span class="diffobj-trim">[1] </span>2 3 4 5 <span class="diffobj-word insert">6</span><span class="diffobj-trim"></span></div></div></div></div></div></pre>
+</div>
+<p>This will omit the CSS, but since we include it via the YAML everything should work as expected.</p>
+</div>
+<div id="use-options" class="section level3">
+<h3>Use Options</h3>
+<p>Almost all <code>diffobj</code> parameters can be specified via options:</p>
+<div class="sourceCode" id="cb7"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb7-1" data-line-number="1"><span class="kw">options</span>(</a>
+<a class="sourceLine" id="cb7-2" data-line-number="2">  <span class="dt">diffobj.format=</span><span class="st">&quot;html&quot;</span>,</a>
+<a class="sourceLine" id="cb7-3" data-line-number="3">  <span class="dt">diffobj.style=</span><span class="kw">list</span>(<span class="dt">html.output=</span><span class="st">&quot;diff.only&quot;</span>)</a>
+<a class="sourceLine" id="cb7-4" data-line-number="4">)</a></code></pre></div>
+<p>Then you can just run the diff as normal:</p>
+<div class="sourceCode" id="cb8"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb8-1" data-line-number="1"><span class="kw">cat</span>(<span class="kw">as.character</span>(<span class="kw">diffPrint</span>(<span class="dv">1</span><span class="op">:</span><span class="dv">5</span>, <span class="dv">2</span><span class="op">:</span><span class="dv">6</span>)))</a></code></pre></div>
+<div class="diffobj-container light yb">
+<pre class="diffobj-content"><div class="diffobj-row"><div class="diffobj-line banner"><div class="delete"><div class="diffobj-gutter"><div class="delete">&lt;</div><div class="pad"> </div></div><div class="diffobj-text"><div class="delete"><span class="diffobj-word delete">1:5</span></div></div></div></div><div class="diffobj-line banner"><div class="insert"><div class="diffobj-gutter"><div class="insert">&gt;</div><div class="pad"> </div></div><div class="diffobj-text"><div class="insert"><span class="diffobj-word insert">2:6</span></div></div></div></div></div><div class="diffobj-row"><div class="diffobj-line"><div class="diffobj-header">@@ 1 @@</div></div><div class="diffobj-line"><div class="diffobj-header">@@ 1 @@</div></div></div><div class="diffobj-row"><div class="diffobj-line"><div class="delete"><div class="diffobj-gutter"><div class="delete">&lt;</div><div class="pad"> </div></div><div class="diffobj-text"><div class="delete"><span class="diffobj-trim">[1] </span><span class="diffobj-word delete">1</span> 2 3 4 5<span class="diffobj-trim"></span></div></div></div></div><div class="diffobj-line"><div class="insert"><div class="diffobj-gutter"><div class="insert">&gt;</div><div class="pad"> </div></div><div class="diffobj-text"><div class="insert"><span class="diffobj-trim">[1] </span>2 3 4 5 <span class="diffobj-word insert">6</span><span class="diffobj-trim"></span></div></div></div></div></div></pre>
+</div>
+</div>
+</div>
+<div id="shiny" class="section level2">
+<h2>Shiny</h2>
+<p>Shiny usage is very similar to <code>rmarkdown</code>. In both cases we want to get <code>diffobj</code> to produce HTML output to embed in our document. If we are willing to embed the CSS with each diff, we can use:</p>
+<div class="sourceCode" id="cb9"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb9-1" data-line-number="1"><span class="kw">library</span>(shiny)</a>
+<a class="sourceLine" id="cb9-2" data-line-number="2"><span class="kw">shinyApp</span>(</a>
+<a class="sourceLine" id="cb9-3" data-line-number="3">  <span class="dt">ui=</span><span class="kw">fluidPage</span>(<span class="kw">htmlOutput</span>(<span class="st">'diffobj_element'</span>)),</a>
+<a class="sourceLine" id="cb9-4" data-line-number="4">  <span class="dt">server=</span><span class="cf">function</span>(input, output) {</a>
+<a class="sourceLine" id="cb9-5" data-line-number="5">    output<span class="op">$</span>diffobj_element &lt;-<span class="st"> </span><span class="kw">renderUI</span>({</a>
+<a class="sourceLine" id="cb9-6" data-line-number="6">      <span class="kw">HTML</span>(</a>
+<a class="sourceLine" id="cb9-7" data-line-number="7">        <span class="kw">as.character</span>(</a>
+<a class="sourceLine" id="cb9-8" data-line-number="8">          <span class="kw">diffPrint</span>(</a>
+<a class="sourceLine" id="cb9-9" data-line-number="9">            <span class="dv">1</span><span class="op">:</span><span class="dv">5</span>, <span class="dv">2</span><span class="op">:</span><span class="dv">6</span>,</a>
+<a class="sourceLine" id="cb9-10" data-line-number="10">            <span class="dt">format=</span><span class="st">&quot;html&quot;</span>,</a>
+<a class="sourceLine" id="cb9-11" data-line-number="11">            <span class="dt">style=</span><span class="kw">list</span>(<span class="dt">html.output=</span><span class="st">&quot;diff.w.style&quot;</span>)</a>
+<a class="sourceLine" id="cb9-12" data-line-number="12">) ) )}) } )</a></code></pre></div>
+<p>If we have many diffs, it may be preferable to use options and external style sheet:</p>
+<div class="sourceCode" id="cb10"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb10-1" data-line-number="1"><span class="kw">options</span>(</a>
+<a class="sourceLine" id="cb10-2" data-line-number="2">  <span class="dt">diffobj.format=</span><span class="st">&quot;html&quot;</span>,</a>
+<a class="sourceLine" id="cb10-3" data-line-number="3">  <span class="dt">diffobj.style=</span><span class="kw">list</span>(<span class="dt">html.output=</span><span class="st">&quot;diff.only&quot;</span>)</a>
+<a class="sourceLine" id="cb10-4" data-line-number="4">)</a>
+<a class="sourceLine" id="cb10-5" data-line-number="5"><span class="kw">shinyApp</span>(</a>
+<a class="sourceLine" id="cb10-6" data-line-number="6">  <span class="dt">ui=</span><span class="kw">fluidPage</span>(</a>
+<a class="sourceLine" id="cb10-7" data-line-number="7">    <span class="kw">includeCSS</span>(<span class="kw">diffobj_css</span>()),</a>
+<a class="sourceLine" id="cb10-8" data-line-number="8">    <span class="kw">htmlOutput</span>(<span class="st">'diffobj_element'</span>)</a>
+<a class="sourceLine" id="cb10-9" data-line-number="9">  ),</a>
+<a class="sourceLine" id="cb10-10" data-line-number="10">  <span class="dt">server=</span><span class="cf">function</span>(input, output) {</a>
+<a class="sourceLine" id="cb10-11" data-line-number="11">    output<span class="op">$</span>diffobj_element &lt;-<span class="st"> </span><span class="kw">renderUI</span>({</a>
+<a class="sourceLine" id="cb10-12" data-line-number="12">      <span class="kw">HTML</span>(<span class="kw">as.character</span>(<span class="kw">diffPrint</span>(<span class="dv">1</span><span class="op">:</span><span class="dv">5</span>, <span class="dv">2</span><span class="op">:</span><span class="dv">6</span>,)))</a>
+<a class="sourceLine" id="cb10-13" data-line-number="13">}) } )</a></code></pre></div>
+<p>Unlike with our <a href="#external-css">rmarkdown example</a>, this CSS is included in the body of the HTML document instead of in the header, so it is technically illegal like in our <a href="#embedded-css">embedded css example</a>.</p>
+</div>
+
+
+
+<!-- code folding -->
+
+
+<!-- dynamically load mathjax for compatibility with self-contained -->
+<script>
+  (function () {
+    var script = document.createElement("script");
+    script.type = "text/javascript";
+    script.src  = "https://mathjax.rstudio.com/latest/MathJax.js?config=TeX-AMS-MML_HTMLorMML";
+    document.getElementsByTagName("head")[0].appendChild(script);
+  })();
+</script>
+
+</body>
+</html>

Property changes on: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/diffobj/doc/embed.html
___________________________________________________________________
Added: svn:mime-type
   + text/plain

Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/diffobj/doc/diffobj.R
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/diffobj/doc/diffobj.R	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/diffobj/doc/diffobj.R	(revision 3761)
@@ -0,0 +1,85 @@
+## ---- echo=FALSE--------------------------------------------------------------
+library(diffobj)
+old.opt <- options(
+  diffobj.disp.width=80, diffobj.pager="off", diffobj.format="html"
+)
+
+## ---- results="asis"----------------------------------------------------------
+a <- b <- matrix(1:100, ncol=2)
+a <- a[-20,]
+b <- b[-45,]
+b[c(18, 44)] <- 999
+diffPrint(target=a, current=b)
+
+## ---- results="asis", echo=FALSE----------------------------------------------
+diffPrint(target=a, current=b)[1]
+
+## ---- results="asis", echo=FALSE----------------------------------------------
+diffPrint(target=a, current=b)[2:10]
+
+## ---- results="asis", echo=FALSE----------------------------------------------
+diffPrint(target=a, current=b)[3]
+
+## ---- results="asis", echo=FALSE----------------------------------------------
+diffPrint(target=a, current=b)[6:9]
+
+## ---- results="asis", echo=FALSE----------------------------------------------
+diffPrint(target=a, current=b)[8:9]
+
+## ---- results="asis"----------------------------------------------------------
+state.abb2 <- state.abb[-16]
+state.abb2[37] <- "Pennsylvania"
+diffPrint(state.abb, state.abb2)
+
+## ---- results="asis"----------------------------------------------------------
+mdl1 <- lm(Sepal.Length ~ Sepal.Width, iris)
+mdl2 <- lm(Sepal.Length ~ Sepal.Width + Species, iris)
+diffStr(mdl1$qr, mdl2$qr, line.limit=15)
+
+## ---- results="asis"----------------------------------------------------------
+diffChr(letters[1:3], c("a", "B", "c"))
+
+## ---- eval=FALSE--------------------------------------------------------------
+#  x <- diffPrint(letters, LETTERS)
+#  x   # or equivalently: `show(x)`
+
+## ---- results="asis"----------------------------------------------------------
+summary(diffStr(mdl1, mdl2))
+
+## ---- results="asis", eval=FALSE----------------------------------------------
+#  x <- y <- letters[24:26]
+#  y[2] <- "GREMLINS"
+#  diffChr(x, y)
+
+## ---- results="asis", echo=FALSE----------------------------------------------
+x <- y <- letters[24:26]
+y[2] <- "GREMLINS"
+diffChr(x, y, mode="sidebyside")
+
+## ---- results="asis", echo=FALSE----------------------------------------------
+x <- y <- letters[24:26]
+y[2] <- "GREMLINS"
+diffChr(x, y, mode="unified")
+
+## ---- results="asis", echo=FALSE----------------------------------------------
+x <- y <- letters[24:26]
+y[2] <- "GREMLINS"
+diffChr(x, y, mode="context")
+
+## ---- results="asis"----------------------------------------------------------
+diffChr(x, y, color.mode="rgb")
+
+## ---- eval=FALSE--------------------------------------------------------------
+#  v1 <- 1:5e4
+#  v2 <- v1[-sample(v1, 100)]
+#  diffChr(v1, v2, word.diff=FALSE)
+
+## ---- eval=FALSE--------------------------------------------------------------
+#  diffPrint(v1, v2)
+
+## -----------------------------------------------------------------------------
+ses(letters[1:5], letters[c(2:3, 5)])
+
+## ---- echo=FALSE--------------------------------------------------------------
+options(old.opt)
+
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/diffobj/doc/diffobj.Rmd
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/diffobj/doc/diffobj.Rmd	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/diffobj/doc/diffobj.Rmd	(revision 3761)
@@ -0,0 +1,329 @@
+---
+title: "diffobj - Diffs for R Objects"
+author: "Brodie Gaslam"
+output:
+    rmarkdown::html_vignette:
+        toc: true
+        css:
+          - !expr diffobj::diffobj_css()
+          - styles.css
+vignette: >
+  %\VignetteIndexEntry{Introduction to Diffobj}
+  %\VignetteEngine{knitr::rmarkdown}
+  \usepackage[utf8]{inputenc}
+
+---
+
+```{r, echo=FALSE}
+library(diffobj)
+old.opt <- options(
+  diffobj.disp.width=80, diffobj.pager="off", diffobj.format="html"
+)
+```
+## Introduction
+
+`diffobj` uses the same comparison mechanism used by `git diff` and `diff` to highlight differences between _rendered_ R objects:
+
+```{r, results="asis"}
+a <- b <- matrix(1:100, ncol=2)
+a <- a[-20,]
+b <- b[-45,]
+b[c(18, 44)] <- 999
+diffPrint(target=a, current=b)
+```
+
+`diffobj` comparisons work best when objects have some similarities, or when they are relatively small.  The package was originally developed to help diagnose failed unit tests by comparing test results to reference objects in a human-friendly manner.
+
+If your terminal supports formatting through ANSI escape sequences, `diffobj` will output colored diffs to the terminal.  If not, it will output colored diffs to your IDE viewport if it is supported, or to your browser otherwise.
+
+## Interpreting Diffs
+
+### Shortest Edit Script
+
+The output from `diffobj` is a visual representation of the Shortest Edit Script (SES).  An SES is the shortest set of deletion and insertion instructions for converting one sequence of elements into another.  In our case, the elements are lines of text.  We encode the instructions to convert `a` to `b` by deleting lines from `a` (in yellow) and inserting new ones from `b` (in blue).
+
+### Diff Structure
+
+The first line of our diff output acts as a legend to the diff by associating the colors and symbols used to represent differences present in each object with the name of the object:
+
+```{r, results="asis", echo=FALSE}
+diffPrint(target=a, current=b)[1]
+```
+
+After the legend come the hunks, which are portions of the objects that have differences with nearby matching lines provided for context:
+
+```{r, results="asis", echo=FALSE}
+diffPrint(target=a, current=b)[2:10]
+```
+
+At the top of the hunk is the hunk header: this tells us that the first displayed hunk (including context lines), starts at line 17 and spans 6 lines for `a` and 7 for `b`.  These are display lines, not object row indices, which is why the first row shown of the matrix is row 16.  You might have also noticed that the line after the hunk header is out of place:
+
+```{r, results="asis", echo=FALSE}
+diffPrint(target=a, current=b)[3]
+```
+
+This is a special context line that is not technically part of the hunk, but is shown nonetheless because it is useful in helping understand the data.  The line is styled differently to highlight that it is not part of the hunk.  Since it is not part of the hunk, it is not accounted for in the hunk header.  See `?guideLines` for more details.
+
+The actual mismatched lines are highlighted in the colors of the legend, with additional visual cues in the gutters:
+
+```{r, results="asis", echo=FALSE}
+diffPrint(target=a, current=b)[6:9]
+```
+
+`diffobj` uses a line by line diff to identify which portions of each of the objects are mismatches, so even if only part of a line mismatches it will be considered different.  `diffobj` then runs a word diff within the hunks and further highlights mismatching words.
+
+Let's examine the last two lines from the previous hunk more closely:
+
+```{r, results="asis", echo=FALSE}
+diffPrint(target=a, current=b)[8:9]
+```
+
+Here `b` has an extra line so `diffobj` adds an empty line to `a` to maintain the alignment for subsequent matching lines.  This additional line is marked with a tilde in the gutter and is shown in a different color to indicate it is not part of the original text.
+
+If you look closely at the next matching line you will notice that the `a` and `b` values are not exactly the same.  The row indices are different, but `diffobj` excludes row indices from the diff so that rows that are identical otherwise are shown as matching.  `diffobj` indicates this is happening by showing the portions of a line that are ignored in the diff in grey.
+
+See `?guides` and `?trim` for details and limitations on guideline detection and
+unsemantic meta data trimming.
+
+### Atomic Vectors
+
+Since R can display multiple elements in an atomic vector on the same line, and `diffPrint` is fundamentally a line diff, we use specialized logic when diffing atomic vectors.  Consider:
+
+```{r, results="asis"}
+state.abb2 <- state.abb[-16]
+state.abb2[37] <- "Pennsylvania"
+diffPrint(state.abb, state.abb2)
+```
+
+Due to the different wrapping frequency no line in the text display of our two vectors matches.  Despite this, `diffPrint` only highlights the lines that actually contain differences.  The side effect is that lines that only contain matching elements are shown as matching even though the actual lines may be different.  You can turn off this behavior in favor of a normal line diff with the `unwrap.atomic` argument to `diffPrint`.
+
+Currently this only works for _unnamed_ vectors, and even for them some inputs
+may produce sub-optimal results.  Nested vectors inside lists will not be
+unwrapped.  You can also use `diffChr` (see below) to do a direct element by
+element comparison.
+
+## Other Diff Functions
+
+### Method Overview
+
+`diffobj` defines several S4 generics and default methods to go along with them.  Each of them uses a different text representation of the inputs:
+
+* `diffPrint`: use the `print`/`show` output and is the one used in the examples so far
+* `diffStr`: use the output of `str`
+* `diffObj`: picks between `print`/`show` and `str` depending on which provides the "best" overview of differences
+* `diffChr`: coerces the inputs to atomic character vectors with `as.character`, and runs the diff on the character vector
+* `diffFile`: compares the text content of two files
+* `diffCsv`: loads two CSV files into data frames and compares the data frames with `diffPrint`
+* `diffDeparse`: deparses and compares the character vectors produced by the deparsing
+* `ses`: computes the element by element shortest edit script on two character vectors
+
+Note the `diff*` functions use lowerCamelCase in keeping with S4 method name convention, whereas the package name itself is all lower case.
+
+### Compare Structure with `diffStr`
+
+For complex objects it is often useful to compare structures:
+
+```{r, results="asis"}
+mdl1 <- lm(Sepal.Length ~ Sepal.Width, iris)
+mdl2 <- lm(Sepal.Length ~ Sepal.Width + Species, iris)
+diffStr(mdl1$qr, mdl2$qr, line.limit=15)
+```
+
+If you specify a `line.limit` with `diffStr` it will fold nested levels in order to fit under `line.limit` so long as there remain visible differences.  If you prefer to see all the differences you can leave `line.limit` unspecified.
+
+### Compare Vectors Elements with `diffChr`
+
+Sometimes it is useful to do a direct element by element comparison:
+
+```{r, results="asis"}
+diffChr(letters[1:3], c("a", "B", "c"))
+```
+
+Notice how we are comparing the contents of the vectors with one line per element.
+
+### Why S4?
+
+The `diff*` functions are defined as S4 generics with default methods (signature `c("ANY", "ANY")`) so that users can customize behavior for their own objects.  For example, a custom method could set many of the default parameters to values more suitable for a particular object.  If the objects in question are S3 objects the S3 class will have to be registered with `setOldClass`.
+
+### Return Value
+
+All the `diff*` methods return a `Diff` S4 object.  It has a `show` method which is responsible for rendering the `Diff` and displaying it to the screen.  Because of this you can compute and render diffs in two steps:
+
+```{r, eval=FALSE}
+x <- diffPrint(letters, LETTERS)
+x   # or equivalently: `show(x)`
+```
+
+This may cause the diff to render funny if you change screen widths, etc., between the two steps.
+
+There are also `summary`, `any`, and `as.character` methods.  The `summary` method provides a high level overview of where the differences are, which can be helpful for large diffs:
+
+```{r, results="asis"}
+summary(diffStr(mdl1, mdl2))
+```
+
+`any` returns TRUE if there are differences, and `as.character` returns the character representation of the diff.
+
+## Controlling Diffs and Their Appearance
+
+### Parameters
+
+The `diff*` family of methods has an extensive set of parameters that allow you to fine tune how the diff is applied and displayed.  We will review some of the major ones in this section.  For a full description see `?diffPrint`.
+
+While the parameter list is extensive, only the objects being compared are required.  All the other parameters have default values, and most of them are for advanced use only.  The defaults can all be adjusted via the `diffobj.*` options.
+
+### Display Mode
+
+There are three built-in display modes that are similar to those found in GNU `diff`: "sidebyside", "unified", and "context".  For example, by varying the `mode` parameter with:
+
+```{r, results="asis", eval=FALSE}
+x <- y <- letters[24:26]
+y[2] <- "GREMLINS"
+diffChr(x, y)
+```
+
+we get:
+
+<table>
+<tr><th>mode="sidebyside"<th>mode="unified"<th>mode="context"
+<tr style="vertical-align: top">
+<td>
+```{r, results="asis", echo=FALSE}
+x <- y <- letters[24:26]
+y[2] <- "GREMLINS"
+diffChr(x, y, mode="sidebyside")
+```
+<td>
+```{r, results="asis", echo=FALSE}
+x <- y <- letters[24:26]
+y[2] <- "GREMLINS"
+diffChr(x, y, mode="unified")
+```
+<td>
+```{r, results="asis", echo=FALSE}
+x <- y <- letters[24:26]
+y[2] <- "GREMLINS"
+diffChr(x, y, mode="context")
+```
+</table>
+
+By default `diffobj` will try to use `mode="sidebyside"` if reasonable given display width, and otherwise will switch to `mode="unified"`.  You can always force a particular display style by specifying it with the `mode` argument.
+
+### Color Mode
+
+The default color mode uses yellow and blue to symbolize deletions and insertions for accessibility to dichromats.  If you prefer the more traditional color mode you can specify `color.mode="rgb"` in the parameter list, or use `options(diffobj.color.mode="rgb")`:
+
+```{r, results="asis"}
+diffChr(x, y, color.mode="rgb")
+```
+
+### Output Formats
+
+If your terminal supports it `diffobj` will format the output with ANSI escape sequences.  `diffobj` uses GÃ¡bor CsÃ¡rdi's [`crayon`](https://github.com/r-lib/crayon) package to detect ANSI support and to apply ANSI based formatting.  If you are using RStudio or another IDE that supports `getOption("viewer")`, `diffobj` will output an HTML/CSS formatted diff to the viewport.  In other terminals that do not support ANSI colors, `diffobj` will attempt to output to an HTML/CSS formatted diff to your browser using `browseURL`.
+
+You can explicitly specify the output format with the `format` parameter:
+
+* `format="raw"` for unformatted diffs
+* `format="ansi8"` for standard ANSI 8 color formatting
+* `format="ansi256"` for ANSI 256 color formatting
+* `format="html"` for HTML/CSS output and styling
+
+See [Pagers](#pagers) for more details.
+
+### Brightness
+
+The `brightness` parameter allows you to pick a color scheme compatible with the background color of your terminal.  The options are:
+
+* "light": for use with light tone terminals
+* "dark": for use with dark tone terminals
+* "neutral": for use with either light or dark terminals
+
+Here are examples of terminal screen renderings for both "rgb" and "yb" `color.mode` for the three `brightness` levels.
+
+<img src="ansi256brightness.png"></img>
+
+The examples for "light" and "dark" have the backgrounds forcefully set to a color compatible with the scheme.  In actual use the base background and foreground colors are left unchanged, which will look bad if you use "dark" with light colored backgrounds or vice versa.  Since we do not know of a good cross platform way of detecting terminal background color the default `brightness` value is "neutral".
+
+At this time the only `format` that is affected by this parameter is "ansi256".  If you want to specify your own light/dark/neutral schemes you may do so either by specifying a [style](#styles) directly or with [Palette of Styles](#styles).
+
+### Pagers
+
+In interactive mode, if the diff output is very long or if your terminal does not support ANSI colors, `diff*` methods will pipe output to a pager. This is done by writing the output to a temporary file and passing the file reference to the pager.  The default action is to invoke the pager with `file.show` if your terminal supports ANSI colors and the pager is known to support ANSI colors as well (as of this writing, only `less` is assumed to support ANSI colors), or if not to use `getOption("viewer")` if available (this outputs to the viewport in RStudio), or if not to use `browseURL`.
+
+You can fine tune when, how, and if a pager is used with the `pager` parameter.  See `?diffPrint` and `?Pager` for more details.
+
+### Styles
+
+You can control almost all aspects of the diff output formatting via the `style` parameter.  To do so, pass an appropriately configured `Style` object.  See `?Style` for more details on how to do this.
+
+The default is to auto pick a style based on the values of the `format`, `color.mode`, and `brightness` parameters.  This is done by using the computed values for each of those parameters to subset the `PaletteOfStyles` object passed as the `palette.of.styles` parameter.  This `PaletteOfStyles` object contains a `Style` object for all the possible permutations of the `style`, `format`, and `color.mode` parameters.  See `?PaletteOfStyles`.
+
+If you specify the `style` parameter the values of the `format`, `brightness`, and `color.mode` parameters will be ignored.
+
+## Diff Algorithm
+
+The primary diff algorithm is Myer's solution to the shortest edit script /
+longest common sequence problem with the Hirschberg linear space refinement
+as described in:
+
+> E. Myers, "An O(ND) Difference Algorithm and Its Variations",
+Algorithmica 1, 2 (1986), 251-266.
+
+and should be the same algorithm used by GNU diff.  The implementation used here is a heavily modified version of Michael B. Allen's diff program from the [`libmba`](http://www.ioplex.com/~miallen/libmba/dl/libmba-0.9.1.tar.gz) `C`
+library.  Any and all bugs in the C code in this package were most likely introduced by yours truly.  Please note that the resulting C code is incompatible with the original `libmba` library.
+
+## Performance Considerations
+
+### Diff
+
+The diff algorithm scales with the _square_ of the number of _differences_.  For
+reasonably small diffs (< 10K differences), the diff itself is unlikely to be
+the bottleneck.
+
+### Capture and Processing
+
+Capture of inputs for `diffPrint` and `diffStr`, and processing of output for
+all `diff*` methods will account for most of the execution time unless you have
+large numbers of differences.  This input and output processing scales mostly
+linearly with the input size.
+
+You can improve performance somewhat by using `diffChr` since that skips the
+capture part, and by turning off `word.diff`:
+
+```{r, eval=FALSE}
+v1 <- 1:5e4
+v2 <- v1[-sample(v1, 100)]
+diffChr(v1, v2, word.diff=FALSE)
+```
+
+will be ~2x as fast as:
+
+```{r, eval=FALSE}
+diffPrint(v1, v2)
+```
+
+*Note*: turning off `word.diff` when using `diffPrint` with unnamed atomic
+vectors can actually _slow down_ the diff because there may well be fewer
+element by element differences than line differences as displayed.   For
+example, when comparing `1:1e6` to `2:1e6` there is only one element difference,
+but every line as displayed is different because of the shift.  Using
+`word.diff=TRUE` (and `unwrap.atomic=TRUE`) allows `diffPrint` to compare
+element by element rather than line by line.  `diffChr` always compares element
+by element.
+
+### Minimal Diff
+
+If you are looking for the fastest possible diff you can use `ses` and
+completely bypass most input and output processing.  Inputs will be coerced to
+character if they are not character.
+
+```{r}
+ses(letters[1:5], letters[c(2:3, 5)])
+```
+
+This will be 10-20x faster than `diffChr`, at the cost of less useful output.
+
+```{r, echo=FALSE}
+options(old.opt)
+```
+
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/diffobj/doc/diffobj.html
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/diffobj/doc/diffobj.html	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/diffobj/doc/diffobj.html	(revision 3761)
@@ -0,0 +1,796 @@
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+display: table;
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+DIV.diffobj-container DIV.diffobj-text {
+display: table-cell;
+width: 100%;
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+display: table-cell;
+padding: 0 0.2em;
+}
+DIV.diffobj-container DIV.diffobj-gutter DIV {
+display: table-cell;
+}
+#diffobj_content_meta DIV.diffobj-container DIV.diffobj-row {
+width: auto;
+}
+#diffobj_banner_meta DIV.diffobj-container DIV.diffobj-line.banner>DIV {
+table-layout: auto;
+}
+#diffobj_outer {
+overflow: hidden;
+}
+ DIV.diffobj-container DIV.diffobj-summary DIV.map {
+word-wrap: break-word;
+padding-left: 1em;
+}
+DIV.diffobj-container DIV.diffobj-summary DIV.detail {
+padding-left: 1em;
+}
+
+DIV.diffobj-container DIV.diffobj-line.banner {
+font-size: 1.2em;
+font-weight: bold;
+overflow: hidden;
+}
+
+DIV.diffobj-container DIV.diffobj-line.banner DIV.diffobj-text DIV{
+white-space: nowrap;
+overflow: hidden;
+text-overflow: ellipsis;
+width: 100%; 
+}
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+background-color: #efffef;
+}
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+border-left: 1px solid #33bb33;
+}
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+background-color: #ffefef;
+}
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+border-left: 1px solid #cc6666;
+}
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+background-color: #e0e6fa;
+border-left: 1px solid #9894b6;
+}
+
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+background-color: #c0cfff;
+}
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+background-color: #e7e780;
+}
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+}
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+background-color: #fefee5;
+}
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+border-left: 1px solid #aaaa55;
+}
+DIV.diffobj-container.light.yb DIV.diffobj-header {
+background-color: #afafaf;
+border-left: 1px solid #e3e3e3;
+color: #e9e9e9;
+}
+DIV.diffobj-container.light.yb DIV.diffobj-line {
+background-color: #eeeeee;
+}
+</style>
+<style type="text/css">
+body {
+background-color: #fff;
+margin: 1em auto;
+max-width: 700px;
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+padding-right: 2em;
+font-family: "Open Sans", "Helvetica Neue", Helvetica, Arial, sans-serif;
+font-size: 14px;
+line-height: 1.5;
+}
+#header {
+text-align: center;
+}
+#TOC {
+clear: both;
+
+padding: 4px;
+width: 100%;
+border: 1px solid #CCCCCC;
+border-radius: 5px;
+background-color: #f6f6f6;
+font-size: 13px;
+line-height: 1.3;
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+#TOC .toctitle {
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+}
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+background-color: #EEE;
+color: #333;
+
+}
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+overflow: auto;
+white-space: pre-wrap; 
+
+margin: 5px 0px;
+padding: 5px 10px;
+font-size: 85%;
+}
+pre:not([class]) {
+color: #353;
+
+}
+div.sourceCode pre, div.sourceCode code {
+background-color: #FAFAFA;
+}
+div.sourceCode pre{
+
+}
+div.sourceCode + pre,
+div.sourceCode + div.diffobj-container {
+margin-top: -5px;
+}
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+}
+
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+font-size: 145%;
+}
+h3 {
+padding-top: 5px;
+font-size: 120%;
+}
+h4 {
+
+color: #777;
+font-size: 105%;
+}
+h4.author, h4.date {display: none;}
+h5, h6 {
+
+font-size: 105%;
+}
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+font-weight: bold;
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+color: #6666ff; }
+a:visited {
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+a:visited:hover {
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+a[href^="https:"] {
+text-decoration: underline; }
+
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+code > span.al { color: #ff0000; font-weight: bold; } 
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+code > span.er { color: #a61717; background-color: #e3d2d2; } 
+</style>
+
+
+
+
+</head>
+
+<body>
+
+
+
+
+<h1 class="title toc-ignore">diffobj - Diffs for R Objects</h1>
+<h4 class="author">Brodie Gaslam</h4>
+
+
+<div id="TOC">
+<ul>
+<li><a href="#introduction">Introduction</a></li>
+<li><a href="#interpreting-diffs">Interpreting Diffs</a><ul>
+<li><a href="#shortest-edit-script">Shortest Edit Script</a></li>
+<li><a href="#diff-structure">Diff Structure</a></li>
+<li><a href="#atomic-vectors">Atomic Vectors</a></li>
+</ul></li>
+<li><a href="#other-diff-functions">Other Diff Functions</a><ul>
+<li><a href="#method-overview">Method Overview</a></li>
+<li><a href="#compare-structure-with-diffstr">Compare Structure with <code>diffStr</code></a></li>
+<li><a href="#compare-vectors-elements-with-diffchr">Compare Vectors Elements with <code>diffChr</code></a></li>
+<li><a href="#why-s4">Why S4?</a></li>
+<li><a href="#return-value">Return Value</a></li>
+</ul></li>
+<li><a href="#controlling-diffs-and-their-appearance">Controlling Diffs and Their Appearance</a><ul>
+<li><a href="#parameters">Parameters</a></li>
+<li><a href="#display-mode">Display Mode</a></li>
+<li><a href="#color-mode">Color Mode</a></li>
+<li><a href="#output-formats">Output Formats</a></li>
+<li><a href="#brightness">Brightness</a></li>
+<li><a href="#pagers">Pagers</a></li>
+<li><a href="#styles">Styles</a></li>
+</ul></li>
+<li><a href="#diff-algorithm">Diff Algorithm</a></li>
+<li><a href="#performance-considerations">Performance Considerations</a><ul>
+<li><a href="#diff">Diff</a></li>
+<li><a href="#capture-and-processing">Capture and Processing</a></li>
+<li><a href="#minimal-diff">Minimal Diff</a></li>
+</ul></li>
+</ul>
+</div>
+
+<div id="introduction" class="section level2">
+<h2>Introduction</h2>
+<p><code>diffobj</code> uses the same comparison mechanism used by <code>git diff</code> and <code>diff</code> to highlight differences between <em>rendered</em> R objects:</p>
+<div class="sourceCode" id="cb1"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb1-1" data-line-number="1">a &lt;-<span class="st"> </span>b &lt;-<span class="st"> </span><span class="kw">matrix</span>(<span class="dv">1</span><span class="op">:</span><span class="dv">100</span>, <span class="dt">ncol=</span><span class="dv">2</span>)</a>
+<a class="sourceLine" id="cb1-2" data-line-number="2">a &lt;-<span class="st"> </span>a[<span class="op">-</span><span class="dv">20</span>,]</a>
+<a class="sourceLine" id="cb1-3" data-line-number="3">b &lt;-<span class="st"> </span>b[<span class="op">-</span><span class="dv">45</span>,]</a>
+<a class="sourceLine" id="cb1-4" data-line-number="4">b[<span class="kw">c</span>(<span class="dv">18</span>, <span class="dv">44</span>)] &lt;-<span class="st"> </span><span class="dv">999</span></a>
+<a class="sourceLine" id="cb1-5" data-line-number="5"><span class="kw">diffPrint</span>(<span class="dt">target=</span>a, <span class="dt">current=</span>b)</a></code></pre></div>
+<div class="diffobj-container light yb">
+<pre class="diffobj-content"><div class="diffobj-row"><div class="diffobj-line banner"><div class="delete"><div class="diffobj-gutter"><div class="delete">&lt;</div><div class="pad"> </div></div><div class="diffobj-text"><div class="delete"><span class="diffobj-word delete">a</span></div></div></div></div><div class="diffobj-line banner"><div class="insert"><div class="diffobj-gutter"><div class="insert">&gt;</div><div class="pad"> </div></div><div class="diffobj-text"><div class="insert"><span class="diffobj-word insert">b</span></div></div></div></div></div><div class="diffobj-row"><div class="diffobj-line"><div class="diffobj-header">@@ 17,6 @@</div></div><div class="diffobj-line"><div class="diffobj-header">@@ 17,7 @@</div></div></div><div class="diffobj-row"><div class="diffobj-line"><div class="diffobj-guide"><div class="diffobj-gutter"><div class="diffobj-guide">~</div><div class="pad"> </div></div><div class="diffobj-text"><div class="diffobj-guide"><span class="diffobj-trim"></span>      [,1] [,2]<span class="diffobj-trim"></span></div></div></div></div><div class="diffobj-line"><div class="diffobj-guide"><div class="diffobj-gutter"><div class="diffobj-guide">~</div><div class="pad"> </div></div><div class="diffobj-text"><div class="diffobj-guide"><span class="diffobj-trim"></span>      [,1] [,2]<span class="diffobj-trim"></span></div></div></div></div></div><div class="diffobj-row"><div class="diffobj-line"><div class="diffobj-match"><div class="diffobj-gutter"><div class="diffobj-match">Â </div><div class="pad"> </div></div><div class="diffobj-text"><div class="diffobj-match"><span class="diffobj-trim">[16,] </span>  16   66<span class="diffobj-trim"></span></div></div></div></div><div class="diffobj-line"><div class="diffobj-match"><div class="diffobj-gutter"><div class="diffobj-match">Â </div><div class="pad"> </div></div><div class="diffobj-text"><div class="diffobj-match"><span class="diffobj-trim">[16,] </span>  16   66<span class="diffobj-trim"></span></div></div></div></div></div><div class="diffobj-row"><div class="diffobj-line"><div class="diffobj-match"><div class="diffobj-gutter"><div class="diffobj-match">Â </div><div class="pad"> </div></div><div class="diffobj-text"><div class="diffobj-match"><span class="diffobj-trim">[17,] </span>  17   67<span class="diffobj-trim"></span></div></div></div></div><div class="diffobj-line"><div class="diffobj-match"><div class="diffobj-gutter"><div class="diffobj-match">Â </div><div class="pad"> </div></div><div class="diffobj-text"><div class="diffobj-match"><span class="diffobj-trim">[17,] </span>  17   67<span class="diffobj-trim"></span></div></div></div></div></div><div class="diffobj-row"><div class="diffobj-line"><div class="delete"><div class="diffobj-gutter"><div class="delete">&lt;</div><div class="pad"> </div></div><div class="diffobj-text"><div class="delete"><span class="diffobj-trim">[18,] </span>  <span class="diffobj-word delete">18</span>   68<span class="diffobj-trim"></span></div></div></div></div><div class="diffobj-line"><div class="insert"><div class="diffobj-gutter"><div class="insert">&gt;</div><div class="pad"> </div></div><div class="diffobj-text"><div class="insert"><span class="diffobj-trim">[18,] </span> <span class="diffobj-word insert">999</span>   68<span class="diffobj-trim"></span></div></div></div></div></div><div class="diffobj-row"><div class="diffobj-line"><div class="diffobj-match"><div class="diffobj-gutter"><div class="diffobj-match">Â </div><div class="pad"> </div></div><div class="diffobj-text"><div class="diffobj-match"><span class="diffobj-trim">[19,] </span>  19   69<span class="diffobj-trim"></span></div></div></div></div><div class="diffobj-line"><div class="diffobj-match"><div class="diffobj-gutter"><div class="diffobj-match">Â </div><div class="pad"> </div></div><div class="diffobj-text"><div class="diffobj-match"><span class="diffobj-trim">[19,] </span>  19   69<span class="diffobj-trim"></span></div></div></div></div></div><div class="diffobj-row"><div class="diffobj-line"><div class="diffobj-fill"><div class="diffobj-gutter"><div class="diffobj-fill">~</div><div class="pad"> </div></div><div class="diffobj-text"><div class="diffobj-fill"></div></div></div></div><div class="diffobj-line"><div class="insert"><div class="diffobj-gutter"><div class="insert">&gt;</div><div class="pad"> </div></div><div class="diffobj-text"><div class="insert"><span class="diffobj-trim">[20,] </span>  <span class="diffobj-word insert">20</span>   <span class="diffobj-word insert">70</span><span class="diffobj-trim"></span></div></div></div></div></div><div class="diffobj-row"><div class="diffobj-line"><div class="diffobj-match"><div class="diffobj-gutter"><div class="diffobj-match">Â </div><div class="pad"> </div></div><div class="diffobj-text"><div class="diffobj-match"><span class="diffobj-trim">[20,] </span>  21   71<span class="diffobj-trim"></span></div></div></div></div><div class="diffobj-line"><div class="diffobj-match"><div class="diffobj-gutter"><div class="diffobj-match">Â </div><div class="pad"> </div></div><div class="diffobj-text"><div class="diffobj-match"><span class="diffobj-trim">[21,] </span>  21   71<span class="diffobj-trim"></span></div></div></div></div></div><div class="diffobj-row"><div class="diffobj-line"><div class="diffobj-match"><div class="diffobj-gutter"><div class="diffobj-match">Â </div><div class="pad"> </div></div><div class="diffobj-text"><div class="diffobj-match"><span class="diffobj-trim">[21,] </span>  22   72<span class="diffobj-trim"></span></div></div></div></div><div class="diffobj-line"><div class="diffobj-match"><div class="diffobj-gutter"><div class="diffobj-match">Â </div><div class="pad"> </div></div><div class="diffobj-text"><div class="diffobj-match"><span class="diffobj-trim">[22,] </span>  22   72<span class="diffobj-trim"></span></div></div></div></div></div><div class="diffobj-row"><div class="diffobj-line"><div class="diffobj-header">@@ 42,6 @@</div></div><div class="diffobj-line"><div class="diffobj-header">@@ 43,5 @@</div></div></div><div class="diffobj-row"><div class="diffobj-line"><div class="diffobj-match"><div class="diffobj-gutter"><div class="diffobj-match">Â </div><div class="pad"> </div></div><div class="diffobj-text"><div class="diffobj-match"><span class="diffobj-trim">[41,] </span>  42   92<span class="diffobj-trim"></span></div></div></div></div><div class="diffobj-line"><div class="diffobj-match"><div class="diffobj-gutter"><div class="diffobj-match">Â </div><div class="pad"> </div></div><div class="diffobj-text"><div class="diffobj-match"><span class="diffobj-trim">[42,] </span>  42   92<span class="diffobj-trim"></span></div></div></div></div></div><div class="diffobj-row"><div class="diffobj-line"><div class="diffobj-match"><div class="diffobj-gutter"><div class="diffobj-match">Â </div><div class="pad"> </div></div><div class="diffobj-text"><div class="diffobj-match"><span class="diffobj-trim">[42,] </span>  43   93<span class="diffobj-trim"></span></div></div></div></div><div class="diffobj-line"><div class="diffobj-match"><div class="diffobj-gutter"><div class="diffobj-match">Â </div><div class="pad"> </div></div><div class="diffobj-text"><div class="diffobj-match"><span class="diffobj-trim">[43,] </span>  43   93<span class="diffobj-trim"></span></div></div></div></div></div><div class="diffobj-row"><div class="diffobj-line"><div class="delete"><div class="diffobj-gutter"><div class="delete">&lt;</div><div class="pad"> </div></div><div class="diffobj-text"><div class="delete"><span class="diffobj-trim">[43,] </span>  <span class="diffobj-word delete">44</span>   94<span class="diffobj-trim"></span></div></div></div></div><div class="diffobj-line"><div class="insert"><div class="diffobj-gutter"><div class="insert">&gt;</div><div class="pad"> </div></div><div class="diffobj-text"><div class="insert"><span class="diffobj-trim">[44,] </span> <span class="diffobj-word insert">999</span>   94<span class="diffobj-trim"></span></div></div></div></div></div><div class="diffobj-row"><div class="diffobj-line"><div class="delete"><div class="diffobj-gutter"><div class="delete">&lt;</div><div class="pad"> </div></div><div class="diffobj-text"><div class="delete"><span class="diffobj-trim">[44,] </span>  <span class="diffobj-word delete">45</span>   <span class="diffobj-word delete">95</span><span class="diffobj-trim"></span></div></div></div></div><div class="diffobj-line"><div class="diffobj-fill"><div class="diffobj-gutter"><div class="diffobj-fill">~</div><div class="pad"> </div></div><div class="diffobj-text"><div class="diffobj-fill"></div></div></div></div></div><div class="diffobj-row"><div class="diffobj-line"><div class="diffobj-match"><div class="diffobj-gutter"><div class="diffobj-match">Â </div><div class="pad"> </div></div><div class="diffobj-text"><div class="diffobj-match"><span class="diffobj-trim">[45,] </span>  46   96<span class="diffobj-trim"></span></div></div></div></div><div class="diffobj-line"><div class="diffobj-match"><div class="diffobj-gutter"><div class="diffobj-match">Â </div><div class="pad"> </div></div><div class="diffobj-text"><div class="diffobj-match"><span class="diffobj-trim">[45,] </span>  46   96<span class="diffobj-trim"></span></div></div></div></div></div><div class="diffobj-row"><div class="diffobj-line"><div class="diffobj-match"><div class="diffobj-gutter"><div class="diffobj-match">Â </div><div class="pad"> </div></div><div class="diffobj-text"><div class="diffobj-match"><span class="diffobj-trim">[46,] </span>  47   97<span class="diffobj-trim"></span></div></div></div></div><div class="diffobj-line"><div class="diffobj-match"><div class="diffobj-gutter"><div class="diffobj-match">Â </div><div class="pad"> </div></div><div class="diffobj-text"><div class="diffobj-match"><span class="diffobj-trim">[46,] </span>  47   97<span class="diffobj-trim"></span></div></div></div></div></div></pre>
+</div>
+<p><code>diffobj</code> comparisons work best when objects have some similarities, or when they are relatively small. The package was originally developed to help diagnose failed unit tests by comparing test results to reference objects in a human-friendly manner.</p>
+<p>If your terminal supports formatting through ANSI escape sequences, <code>diffobj</code> will output colored diffs to the terminal. If not, it will output colored diffs to your IDE viewport if it is supported, or to your browser otherwise.</p>
+</div>
+<div id="interpreting-diffs" class="section level2">
+<h2>Interpreting Diffs</h2>
+<div id="shortest-edit-script" class="section level3">
+<h3>Shortest Edit Script</h3>
+<p>The output from <code>diffobj</code> is a visual representation of the Shortest Edit Script (SES). An SES is the shortest set of deletion and insertion instructions for converting one sequence of elements into another. In our case, the elements are lines of text. We encode the instructions to convert <code>a</code> to <code>b</code> by deleting lines from <code>a</code> (in yellow) and inserting new ones from <code>b</code> (in blue).</p>
+</div>
+<div id="diff-structure" class="section level3">
+<h3>Diff Structure</h3>
+<p>The first line of our diff output acts as a legend to the diff by associating the colors and symbols used to represent differences present in each object with the name of the object:</p>
+<div class="diffobj-container light yb">
+<pre class="diffobj-content"><div class="diffobj-row"><div class="diffobj-line banner"><div class="delete"><div class="diffobj-gutter"><div class="delete">&lt;</div><div class="pad"> </div></div><div class="diffobj-text"><div class="delete"><span class="diffobj-word delete">a</span></div></div></div></div><div class="diffobj-line banner"><div class="insert"><div class="diffobj-gutter"><div class="insert">&gt;</div><div class="pad"> </div></div><div class="diffobj-text"><div class="insert"><span class="diffobj-word insert">b</span></div></div></div></div></div></pre>
+</div>
+<p>After the legend come the hunks, which are portions of the objects that have differences with nearby matching lines provided for context:</p>
+<div class="diffobj-container light yb">
+<pre class="diffobj-content"><div class="diffobj-row"><div class="diffobj-line"><div class="diffobj-header">@@ 17,6 @@</div></div><div class="diffobj-line"><div class="diffobj-header">@@ 17,7 @@</div></div></div><div class="diffobj-row"><div class="diffobj-line"><div class="diffobj-guide"><div class="diffobj-gutter"><div class="diffobj-guide">~</div><div class="pad"> </div></div><div class="diffobj-text"><div class="diffobj-guide"><span class="diffobj-trim"></span>      [,1] [,2]<span class="diffobj-trim"></span></div></div></div></div><div class="diffobj-line"><div class="diffobj-guide"><div class="diffobj-gutter"><div class="diffobj-guide">~</div><div class="pad"> </div></div><div class="diffobj-text"><div class="diffobj-guide"><span class="diffobj-trim"></span>      [,1] [,2]<span class="diffobj-trim"></span></div></div></div></div></div><div class="diffobj-row"><div class="diffobj-line"><div class="diffobj-match"><div class="diffobj-gutter"><div class="diffobj-match">Â </div><div class="pad"> </div></div><div class="diffobj-text"><div class="diffobj-match"><span class="diffobj-trim">[16,] </span>  16   66<span class="diffobj-trim"></span></div></div></div></div><div class="diffobj-line"><div class="diffobj-match"><div class="diffobj-gutter"><div class="diffobj-match">Â </div><div class="pad"> </div></div><div class="diffobj-text"><div class="diffobj-match"><span class="diffobj-trim">[16,] </span>  16   66<span class="diffobj-trim"></span></div></div></div></div></div><div class="diffobj-row"><div class="diffobj-line"><div class="diffobj-match"><div class="diffobj-gutter"><div class="diffobj-match">Â </div><div class="pad"> </div></div><div class="diffobj-text"><div class="diffobj-match"><span class="diffobj-trim">[17,] </span>  17   67<span class="diffobj-trim"></span></div></div></div></div><div class="diffobj-line"><div class="diffobj-match"><div class="diffobj-gutter"><div class="diffobj-match">Â </div><div class="pad"> </div></div><div class="diffobj-text"><div class="diffobj-match"><span class="diffobj-trim">[17,] </span>  17   67<span class="diffobj-trim"></span></div></div></div></div></div><div class="diffobj-row"><div class="diffobj-line"><div class="delete"><div class="diffobj-gutter"><div class="delete">&lt;</div><div class="pad"> </div></div><div class="diffobj-text"><div class="delete"><span class="diffobj-trim">[18,] </span>  <span class="diffobj-word delete">18</span>   68<span class="diffobj-trim"></span></div></div></div></div><div class="diffobj-line"><div class="insert"><div class="diffobj-gutter"><div class="insert">&gt;</div><div class="pad"> </div></div><div class="diffobj-text"><div class="insert"><span class="diffobj-trim">[18,] </span> <span class="diffobj-word insert">999</span>   68<span class="diffobj-trim"></span></div></div></div></div></div><div class="diffobj-row"><div class="diffobj-line"><div class="diffobj-match"><div class="diffobj-gutter"><div class="diffobj-match">Â </div><div class="pad"> </div></div><div class="diffobj-text"><div class="diffobj-match"><span class="diffobj-trim">[19,] </span>  19   69<span class="diffobj-trim"></span></div></div></div></div><div class="diffobj-line"><div class="diffobj-match"><div class="diffobj-gutter"><div class="diffobj-match">Â </div><div class="pad"> </div></div><div class="diffobj-text"><div class="diffobj-match"><span class="diffobj-trim">[19,] </span>  19   69<span class="diffobj-trim"></span></div></div></div></div></div><div class="diffobj-row"><div class="diffobj-line"><div class="diffobj-fill"><div class="diffobj-gutter"><div class="diffobj-fill">~</div><div class="pad"> </div></div><div class="diffobj-text"><div class="diffobj-fill"></div></div></div></div><div class="diffobj-line"><div class="insert"><div class="diffobj-gutter"><div class="insert">&gt;</div><div class="pad"> </div></div><div class="diffobj-text"><div class="insert"><span class="diffobj-trim">[20,] </span>  <span class="diffobj-word insert">20</span>   <span class="diffobj-word insert">70</span><span class="diffobj-trim"></span></div></div></div></div></div><div class="diffobj-row"><div class="diffobj-line"><div class="diffobj-match"><div class="diffobj-gutter"><div class="diffobj-match">Â </div><div class="pad"> </div></div><div class="diffobj-text"><div class="diffobj-match"><span class="diffobj-trim">[20,] </span>  21   71<span class="diffobj-trim"></span></div></div></div></div><div class="diffobj-line"><div class="diffobj-match"><div class="diffobj-gutter"><div class="diffobj-match">Â </div><div class="pad"> </div></div><div class="diffobj-text"><div class="diffobj-match"><span class="diffobj-trim">[21,] </span>  21   71<span class="diffobj-trim"></span></div></div></div></div></div><div class="diffobj-row"><div class="diffobj-line"><div class="diffobj-match"><div class="diffobj-gutter"><div class="diffobj-match">Â </div><div class="pad"> </div></div><div class="diffobj-text"><div class="diffobj-match"><span class="diffobj-trim">[21,] </span>  22   72<span class="diffobj-trim"></span></div></div></div></div><div class="diffobj-line"><div class="diffobj-match"><div class="diffobj-gutter"><div class="diffobj-match">Â </div><div class="pad"> </div></div><div class="diffobj-text"><div class="diffobj-match"><span class="diffobj-trim">[22,] </span>  22   72<span class="diffobj-trim"></span></div></div></div></div></div></pre>
+</div>
+<p>At the top of the hunk is the hunk header: this tells us that the first displayed hunk (including context lines), starts at line 17 and spans 6 lines for <code>a</code> and 7 for <code>b</code>. These are display lines, not object row indices, which is why the first row shown of the matrix is row 16. You might have also noticed that the line after the hunk header is out of place:</p>
+<div class="diffobj-container light yb">
+<pre class="diffobj-content"><div class="diffobj-row"><div class="diffobj-line"><div class="diffobj-guide"><div class="diffobj-gutter"><div class="diffobj-guide">~</div><div class="pad"> </div></div><div class="diffobj-text"><div class="diffobj-guide"><span class="diffobj-trim"></span>      [,1] [,2]<span class="diffobj-trim"></span></div></div></div></div><div class="diffobj-line"><div class="diffobj-guide"><div class="diffobj-gutter"><div class="diffobj-guide">~</div><div class="pad"> </div></div><div class="diffobj-text"><div class="diffobj-guide"><span class="diffobj-trim"></span>      [,1] [,2]<span class="diffobj-trim"></span></div></div></div></div></div></pre>
+</div>
+<p>This is a special context line that is not technically part of the hunk, but is shown nonetheless because it is useful in helping understand the data. The line is styled differently to highlight that it is not part of the hunk. Since it is not part of the hunk, it is not accounted for in the hunk header. See <code>?guideLines</code> for more details.</p>
+<p>The actual mismatched lines are highlighted in the colors of the legend, with additional visual cues in the gutters:</p>
+<div class="diffobj-container light yb">
+<pre class="diffobj-content"><div class="diffobj-row"><div class="diffobj-line"><div class="delete"><div class="diffobj-gutter"><div class="delete">&lt;</div><div class="pad"> </div></div><div class="diffobj-text"><div class="delete"><span class="diffobj-trim">[18,] </span>  <span class="diffobj-word delete">18</span>   68<span class="diffobj-trim"></span></div></div></div></div><div class="diffobj-line"><div class="insert"><div class="diffobj-gutter"><div class="insert">&gt;</div><div class="pad"> </div></div><div class="diffobj-text"><div class="insert"><span class="diffobj-trim">[18,] </span> <span class="diffobj-word insert">999</span>   68<span class="diffobj-trim"></span></div></div></div></div></div><div class="diffobj-row"><div class="diffobj-line"><div class="diffobj-match"><div class="diffobj-gutter"><div class="diffobj-match">Â </div><div class="pad"> </div></div><div class="diffobj-text"><div class="diffobj-match"><span class="diffobj-trim">[19,] </span>  19   69<span class="diffobj-trim"></span></div></div></div></div><div class="diffobj-line"><div class="diffobj-match"><div class="diffobj-gutter"><div class="diffobj-match">Â </div><div class="pad"> </div></div><div class="diffobj-text"><div class="diffobj-match"><span class="diffobj-trim">[19,] </span>  19   69<span class="diffobj-trim"></span></div></div></div></div></div><div class="diffobj-row"><div class="diffobj-line"><div class="diffobj-fill"><div class="diffobj-gutter"><div class="diffobj-fill">~</div><div class="pad"> </div></div><div class="diffobj-text"><div class="diffobj-fill"></div></div></div></div><div class="diffobj-line"><div class="insert"><div class="diffobj-gutter"><div class="insert">&gt;</div><div class="pad"> </div></div><div class="diffobj-text"><div class="insert"><span class="diffobj-trim">[20,] </span>  <span class="diffobj-word insert">20</span>   <span class="diffobj-word insert">70</span><span class="diffobj-trim"></span></div></div></div></div></div><div class="diffobj-row"><div class="diffobj-line"><div class="diffobj-match"><div class="diffobj-gutter"><div class="diffobj-match">Â </div><div class="pad"> </div></div><div class="diffobj-text"><div class="diffobj-match"><span class="diffobj-trim">[20,] </span>  21   71<span class="diffobj-trim"></span></div></div></div></div><div class="diffobj-line"><div class="diffobj-match"><div class="diffobj-gutter"><div class="diffobj-match">Â </div><div class="pad"> </div></div><div class="diffobj-text"><div class="diffobj-match"><span class="diffobj-trim">[21,] </span>  21   71<span class="diffobj-trim"></span></div></div></div></div></div></pre>
+</div>
+<p><code>diffobj</code> uses a line by line diff to identify which portions of each of the objects are mismatches, so even if only part of a line mismatches it will be considered different. <code>diffobj</code> then runs a word diff within the hunks and further highlights mismatching words.</p>
+<p>Letâ€™s examine the last two lines from the previous hunk more closely:</p>
+<div class="diffobj-container light yb">
+<pre class="diffobj-content"><div class="diffobj-row"><div class="diffobj-line"><div class="diffobj-fill"><div class="diffobj-gutter"><div class="diffobj-fill">~</div><div class="pad"> </div></div><div class="diffobj-text"><div class="diffobj-fill"></div></div></div></div><div class="diffobj-line"><div class="insert"><div class="diffobj-gutter"><div class="insert">&gt;</div><div class="pad"> </div></div><div class="diffobj-text"><div class="insert"><span class="diffobj-trim">[20,] </span>  <span class="diffobj-word insert">20</span>   <span class="diffobj-word insert">70</span><span class="diffobj-trim"></span></div></div></div></div></div><div class="diffobj-row"><div class="diffobj-line"><div class="diffobj-match"><div class="diffobj-gutter"><div class="diffobj-match">Â </div><div class="pad"> </div></div><div class="diffobj-text"><div class="diffobj-match"><span class="diffobj-trim">[20,] </span>  21   71<span class="diffobj-trim"></span></div></div></div></div><div class="diffobj-line"><div class="diffobj-match"><div class="diffobj-gutter"><div class="diffobj-match">Â </div><div class="pad"> </div></div><div class="diffobj-text"><div class="diffobj-match"><span class="diffobj-trim">[21,] </span>  21   71<span class="diffobj-trim"></span></div></div></div></div></div></pre>
+</div>
+<p>Here <code>b</code> has an extra line so <code>diffobj</code> adds an empty line to <code>a</code> to maintain the alignment for subsequent matching lines. This additional line is marked with a tilde in the gutter and is shown in a different color to indicate it is not part of the original text.</p>
+<p>If you look closely at the next matching line you will notice that the <code>a</code> and <code>b</code> values are not exactly the same. The row indices are different, but <code>diffobj</code> excludes row indices from the diff so that rows that are identical otherwise are shown as matching. <code>diffobj</code> indicates this is happening by showing the portions of a line that are ignored in the diff in grey.</p>
+<p>See <code>?guides</code> and <code>?trim</code> for details and limitations on guideline detection and unsemantic meta data trimming.</p>
+</div>
+<div id="atomic-vectors" class="section level3">
+<h3>Atomic Vectors</h3>
+<p>Since R can display multiple elements in an atomic vector on the same line, and <code>diffPrint</code> is fundamentally a line diff, we use specialized logic when diffing atomic vectors. Consider:</p>
+<div class="sourceCode" id="cb2"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb2-1" data-line-number="1">state.abb2 &lt;-<span class="st"> </span>state.abb[<span class="op">-</span><span class="dv">16</span>]</a>
+<a class="sourceLine" id="cb2-2" data-line-number="2">state.abb2[<span class="dv">37</span>] &lt;-<span class="st"> &quot;Pennsylvania&quot;</span></a>
+<a class="sourceLine" id="cb2-3" data-line-number="3"><span class="kw">diffPrint</span>(state.abb, state.abb2)</a></code></pre></div>
+<div class="diffobj-container light yb">
+<pre class="diffobj-content"><div class="diffobj-row"><div class="diffobj-line banner"><div class="delete"><div class="diffobj-gutter"><div class="delete">&lt;</div><div class="pad"> </div></div><div class="diffobj-text"><div class="delete"><span class="diffobj-word delete">state.abb</span></div></div></div></div><div class="diffobj-line banner"><div class="insert"><div class="diffobj-gutter"><div class="insert">&gt;</div><div class="pad"> </div></div><div class="diffobj-text"><div class="insert"><span class="diffobj-word insert">state.abb2</span></div></div></div></div></div><div class="diffobj-row"><div class="diffobj-line"><div class="diffobj-header">@@ 1,5 @@</div></div><div class="diffobj-line"><div class="diffobj-header">@@ 6,5 @@</div></div></div><div class="diffobj-row"><div class="diffobj-line"><div class="diffobj-match"><div class="diffobj-gutter"><div class="diffobj-match">Â </div><div class="pad"> </div></div><div class="diffobj-text"><div class="diffobj-match"><span class="diffobj-trim"> [1] </span>&quot;AL&quot; &quot;AK&quot; &quot;AZ&quot; &quot;AR&quot; &quot;CA&quot; &quot;CO&quot;<span class="diffobj-trim"></span></div></div></div></div><div class="diffobj-line"><div class="diffobj-match"><div class="diffobj-gutter"><div class="diffobj-match">Â </div><div class="pad"> </div></div><div class="diffobj-text"><div class="diffobj-match"><span class="diffobj-trim">[11] </span>&quot;HI&quot;           &quot;ID&quot;          <span class="diffobj-trim"></span></div></div></div></div></div><div class="diffobj-row"><div class="diffobj-line"><div class="diffobj-match"><div class="diffobj-gutter"><div class="diffobj-match">Â </div><div class="pad"> </div></div><div class="diffobj-text"><div class="diffobj-match"><span class="diffobj-trim"> [7] </span>&quot;CT&quot; &quot;DE&quot; &quot;FL&quot; &quot;GA&quot; &quot;HI&quot; &quot;ID&quot;<span class="diffobj-trim"></span></div></div></div></div><div class="diffobj-line"><div class="diffobj-match"><div class="diffobj-gutter"><div class="diffobj-match">Â </div><div class="pad"> </div></div><div class="diffobj-text"><div class="diffobj-match"><span class="diffobj-trim">[13] </span>&quot;IL&quot;           &quot;IN&quot;          <span class="diffobj-trim"></span></div></div></div></div></div><div class="diffobj-row"><div class="diffobj-line"><div class="delete"><div class="diffobj-gutter"><div class="delete">&lt;</div><div class="pad"> </div></div><div class="diffobj-text"><div class="delete"><span class="diffobj-trim">[13] </span>&quot;IL&quot; &quot;IN&quot; &quot;IA&quot; <span class="diffobj-word delete">&quot;KS&quot;</span> &quot;KY&quot; &quot;LA&quot;<span class="diffobj-trim"></span></div></div></div></div><div class="diffobj-line"><div class="insert"><div class="diffobj-gutter"><div class="insert">&gt;</div><div class="pad"> </div></div><div class="diffobj-text"><div class="insert"><span class="diffobj-trim">[15] </span>&quot;IA&quot;           &quot;KY&quot;          <span class="diffobj-trim"></span></div></div></div></div></div><div class="diffobj-row"><div class="diffobj-line"><div class="diffobj-match"><div class="diffobj-gutter"><div class="diffobj-match">Â </div><div class="pad"> </div></div><div class="diffobj-text"><div class="diffobj-match"><span class="diffobj-trim">[19] </span>&quot;ME&quot; &quot;MD&quot; &quot;MA&quot; &quot;MI&quot; &quot;MN&quot; &quot;MS&quot;<span class="diffobj-trim"></span></div></div></div></div><div class="diffobj-line"><div class="diffobj-match"><div class="diffobj-gutter"><div class="diffobj-match">Â </div><div class="pad"> </div></div><div class="diffobj-text"><div class="diffobj-match"><span class="diffobj-trim">[17] </span>&quot;LA&quot;           &quot;ME&quot;          <span class="diffobj-trim"></span></div></div></div></div></div><div class="diffobj-row"><div class="diffobj-line"><div class="diffobj-match"><div class="diffobj-gutter"><div class="diffobj-match">Â </div><div class="pad"> </div></div><div class="diffobj-text"><div class="diffobj-match"><span class="diffobj-trim">[25] </span>&quot;MO&quot; &quot;MT&quot; &quot;NE&quot; &quot;NV&quot; &quot;NH&quot; &quot;NJ&quot;<span class="diffobj-trim"></span></div></div></div></div><div class="diffobj-line"><div class="diffobj-match"><div class="diffobj-gutter"><div class="diffobj-match">Â </div><div class="pad"> </div></div><div class="diffobj-text"><div class="diffobj-match"><span class="diffobj-trim">[19] </span>&quot;MD&quot;           &quot;MA&quot;          <span class="diffobj-trim"></span></div></div></div></div></div><div class="diffobj-row"><div class="diffobj-line"><div class="diffobj-header">@@ 6,4 @@</div></div><div class="diffobj-line"><div class="diffobj-header">@@ 17,5 @@</div></div></div><div class="diffobj-row"><div class="diffobj-line"><div class="diffobj-fill"><div class="diffobj-gutter"><div class="diffobj-fill">~</div><div class="pad"> </div></div><div class="diffobj-text"><div class="diffobj-fill">Â </div></div></div></div><div class="diffobj-line"><div class="diffobj-match"><div class="diffobj-gutter"><div class="diffobj-match">Â </div><div class="pad"> </div></div><div class="diffobj-text"><div class="diffobj-match"><span class="diffobj-trim">[33] </span>&quot;ND&quot;           &quot;OH&quot;          <span class="diffobj-trim"></span></div></div></div></div></div><div class="diffobj-row"><div class="diffobj-line"><div class="diffobj-match"><div class="diffobj-gutter"><div class="diffobj-match">Â </div><div class="pad"> </div></div><div class="diffobj-text"><div class="diffobj-match"><span class="diffobj-trim">[31] </span>&quot;NM&quot; &quot;NY&quot; &quot;NC&quot; &quot;ND&quot; &quot;OH&quot; &quot;OK&quot;<span class="diffobj-trim"></span></div></div></div></div><div class="diffobj-line"><div class="diffobj-match"><div class="diffobj-gutter"><div class="diffobj-match">Â </div><div class="pad"> </div></div><div class="diffobj-text"><div class="diffobj-match"><span class="diffobj-trim">[35] </span>&quot;OK&quot;           &quot;OR&quot;          <span class="diffobj-trim"></span></div></div></div></div></div><div class="diffobj-row"><div class="diffobj-line"><div class="delete"><div class="diffobj-gutter"><div class="delete">&lt;</div><div class="pad"> </div></div><div class="diffobj-text"><div class="delete"><span class="diffobj-trim">[37] </span>&quot;OR&quot; <span class="diffobj-word delete">&quot;PA&quot;</span> &quot;RI&quot; &quot;SC&quot; &quot;SD&quot; &quot;TN&quot;<span class="diffobj-trim"></span></div></div></div></div><div class="diffobj-line"><div class="insert"><div class="diffobj-gutter"><div class="insert">&gt;</div><div class="pad"> </div></div><div class="diffobj-text"><div class="insert"><span class="diffobj-trim">[37] </span><span class="diffobj-word insert">&quot;Pennsylvania&quot;</span> &quot;RI&quot;          <span class="diffobj-trim"></span></div></div></div></div></div><div class="diffobj-row"><div class="diffobj-line"><div class="diffobj-match"><div class="diffobj-gutter"><div class="diffobj-match">Â </div><div class="pad"> </div></div><div class="diffobj-text"><div class="diffobj-match"><span class="diffobj-trim">[43] </span>&quot;TX&quot; &quot;UT&quot; &quot;VT&quot; &quot;VA&quot; &quot;WA&quot; &quot;WV&quot;<span class="diffobj-trim"></span></div></div></div></div><div class="diffobj-line"><div class="diffobj-match"><div class="diffobj-gutter"><div class="diffobj-match">Â </div><div class="pad"> </div></div><div class="diffobj-text"><div class="diffobj-match"><span class="diffobj-trim">[39] </span>&quot;SC&quot;           &quot;SD&quot;          <span class="diffobj-trim"></span></div></div></div></div></div><div class="diffobj-row"><div class="diffobj-line"><div class="diffobj-match"><div class="diffobj-gutter"><div class="diffobj-match">Â </div><div class="pad"> </div></div><div class="diffobj-text"><div class="diffobj-match"><span class="diffobj-trim">[49] </span>&quot;WI&quot; &quot;WY&quot;<span class="diffobj-trim"></span></div></div></div></div><div class="diffobj-line"><div class="diffobj-match"><div class="diffobj-gutter"><div class="diffobj-match">Â </div><div class="pad"> </div></div><div class="diffobj-text"><div class="diffobj-match"><span class="diffobj-trim">[41] </span>&quot;TN&quot;           &quot;TX&quot;          <span class="diffobj-trim"></span></div></div></div></div></div></pre>
+</div>
+<p>Due to the different wrapping frequency no line in the text display of our two vectors matches. Despite this, <code>diffPrint</code> only highlights the lines that actually contain differences. The side effect is that lines that only contain matching elements are shown as matching even though the actual lines may be different. You can turn off this behavior in favor of a normal line diff with the <code>unwrap.atomic</code> argument to <code>diffPrint</code>.</p>
+<p>Currently this only works for <em>unnamed</em> vectors, and even for them some inputs may produce sub-optimal results. Nested vectors inside lists will not be unwrapped. You can also use <code>diffChr</code> (see below) to do a direct element by element comparison.</p>
+</div>
+</div>
+<div id="other-diff-functions" class="section level2">
+<h2>Other Diff Functions</h2>
+<div id="method-overview" class="section level3">
+<h3>Method Overview</h3>
+<p><code>diffobj</code> defines several S4 generics and default methods to go along with them. Each of them uses a different text representation of the inputs:</p>
+<ul>
+<li><code>diffPrint</code>: use the <code>print</code>/<code>show</code> output and is the one used in the examples so far</li>
+<li><code>diffStr</code>: use the output of <code>str</code></li>
+<li><code>diffObj</code>: picks between <code>print</code>/<code>show</code> and <code>str</code> depending on which provides the â€œbestâ€� overview of differences</li>
+<li><code>diffChr</code>: coerces the inputs to atomic character vectors with <code>as.character</code>, and runs the diff on the character vector</li>
+<li><code>diffFile</code>: compares the text content of two files</li>
+<li><code>diffCsv</code>: loads two CSV files into data frames and compares the data frames with <code>diffPrint</code></li>
+<li><code>diffDeparse</code>: deparses and compares the character vectors produced by the deparsing</li>
+<li><code>ses</code>: computes the element by element shortest edit script on two character vectors</li>
+</ul>
+<p>Note the <code>diff*</code> functions use lowerCamelCase in keeping with S4 method name convention, whereas the package name itself is all lower case.</p>
+</div>
+<div id="compare-structure-with-diffstr" class="section level3">
+<h3>Compare Structure with <code>diffStr</code></h3>
+<p>For complex objects it is often useful to compare structures:</p>
+<div class="sourceCode" id="cb3"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb3-1" data-line-number="1">mdl1 &lt;-<span class="st"> </span><span class="kw">lm</span>(Sepal.Length <span class="op">~</span><span class="st"> </span>Sepal.Width, iris)</a>
+<a class="sourceLine" id="cb3-2" data-line-number="2">mdl2 &lt;-<span class="st"> </span><span class="kw">lm</span>(Sepal.Length <span class="op">~</span><span class="st"> </span>Sepal.Width <span class="op">+</span><span class="st"> </span>Species, iris)</a>
+<a class="sourceLine" id="cb3-3" data-line-number="3"><span class="kw">diffStr</span>(mdl1<span class="op">$</span>qr, mdl2<span class="op">$</span>qr, <span class="dt">line.limit=</span><span class="dv">15</span>)</a></code></pre></div>
+<div class="diffobj-container light yb">
+<pre class="diffobj-content"><div class="diffobj-row"><div class="diffobj-line banner"><div class="delete"><div class="diffobj-gutter"><div class="delete">&lt;</div><div class="pad"> </div></div><div class="diffobj-text"><div class="delete"><span class="diffobj-word delete">str(mdl1$qr, max.level = 2L)</span></div></div></div></div><div class="diffobj-line banner"><div class="insert"><div class="diffobj-gutter"><div class="insert">&gt;</div><div class="pad"> </div></div><div class="diffobj-text"><div class="insert"><span class="diffobj-word insert">str(mdl2$qr, max.level = 2L)</span></div></div></div></div></div><div class="diffobj-row"><div class="diffobj-line"><div class="diffobj-header">@@ 1,9 @@</div></div><div class="diffobj-line"><div class="diffobj-header">@@ 1,10 @@</div></div></div><div class="diffobj-row"><div class="diffobj-line"><div class="diffobj-match"><div class="diffobj-gutter"><div class="diffobj-match">Â </div><div class="pad"> </div></div><div class="diffobj-text"><div class="diffobj-match"><span class="diffobj-trim"></span>List of 5<span class="diffobj-trim"></span></div></div></div></div><div class="diffobj-line"><div class="diffobj-match"><div class="diffobj-gutter"><div class="diffobj-match">Â </div><div class="pad"> </div></div><div class="diffobj-text"><div class="diffobj-match"><span class="diffobj-trim"></span>List of 5<span class="diffobj-trim"></span></div></div></div></div></div><div class="diffobj-row"><div class="diffobj-line"><div class="delete"><div class="diffobj-gutter"><div class="delete">&lt;</div><div class="pad"> </div></div><div class="diffobj-text"><div class="delete"><span class="diffobj-trim"> $ </span>qr   : num [1:150, <span class="diffobj-word delete">1:2]</span> -12.2474 0.0816 0.0816 0.0816 0.0816 ...<span class="diffobj-trim"></span></div></div></div></div><div class="diffobj-line"><div class="insert"><div class="diffobj-gutter"><div class="insert">&gt;</div><div class="pad"> </div></div><div class="diffobj-text"><div class="insert"><span class="diffobj-trim"> $ </span>qr   : num [1:150, <span class="diffobj-word insert">1:4]</span> -12.2474 0.0816 0.0816 0.0816 0.0816 ...<span class="diffobj-trim"></span></div></div></div></div></div><div class="diffobj-row"><div class="diffobj-line"><div class="diffobj-match"><div class="diffobj-gutter"><div class="diffobj-match">Â </div><div class="pad"> </div></div><div class="diffobj-text"><div class="diffobj-match"><span class="diffobj-trim">  ..- </span>attr(*, &quot;dimnames&quot;)=List of 2<span class="diffobj-trim"></span></div></div></div></div><div class="diffobj-line"><div class="diffobj-match"><div class="diffobj-gutter"><div class="diffobj-match">Â </div><div class="pad"> </div></div><div class="diffobj-text"><div class="diffobj-match"><span class="diffobj-trim">  ..- </span>attr(*, &quot;dimnames&quot;)=List of 2<span class="diffobj-trim"></span></div></div></div></div></div><div class="diffobj-row"><div class="diffobj-line"><div class="delete"><div class="diffobj-gutter"><div class="delete">&lt;</div><div class="pad"> </div></div><div class="diffobj-text"><div class="delete"><span class="diffobj-trim">  ..- </span>attr(*, &quot;assign&quot;)= int <span class="diffobj-word delete">[1:2]</span> 0 1<span class="diffobj-trim"></span></div></div></div></div><div class="diffobj-line"><div class="insert"><div class="diffobj-gutter"><div class="insert">&gt;</div><div class="pad"> </div></div><div class="diffobj-text"><div class="insert"><span class="diffobj-trim">  ..- </span>attr(*, &quot;assign&quot;)= int <span class="diffobj-word insert">[1:4]</span> 0 <span class="diffobj-word insert">1</span> <span class="diffobj-word insert">2</span> <span class="diffobj-word insert">2</span><span class="diffobj-trim"></span></div></div></div></div></div><div class="diffobj-row"><div class="diffobj-line"><div class="diffobj-fill"><div class="diffobj-gutter"><div class="diffobj-fill">~</div><div class="pad"> </div></div><div class="diffobj-text"><div class="diffobj-fill"></div></div></div></div><div class="diffobj-line"><div class="insert"><div class="diffobj-gutter"><div class="insert">&gt;</div><div class="pad"> </div></div><div class="diffobj-text"><div class="insert"><span class="diffobj-trim">  ..- </span><span class="diffobj-word insert">attr</span><span class="diffobj-word insert">(*,</span> <span class="diffobj-word insert">&quot;contrasts&quot;</span><span class="diffobj-word insert">)=List</span> <span class="diffobj-word insert">of</span> 1<span class="diffobj-trim"></span></div></div></div></div></div><div class="diffobj-row"><div class="diffobj-line"><div class="delete"><div class="diffobj-gutter"><div class="delete">&lt;</div><div class="pad"> </div></div><div class="diffobj-text"><div class="delete"><span class="diffobj-trim"> $ </span>qraux: num <span class="diffobj-word delete">[1:2]</span> 1.08 1.02<span class="diffobj-trim"></span></div></div></div></div><div class="diffobj-line"><div class="insert"><div class="diffobj-gutter"><div class="insert">&gt;</div><div class="pad"> </div></div><div class="diffobj-text"><div class="insert"><span class="diffobj-trim"> $ </span>qraux: num <span class="diffobj-word insert">[1:4]</span> 1.08 1.02 <span class="diffobj-word insert">1.05</span> <span class="diffobj-word insert">1.11</span><span class="diffobj-trim"></span></div></div></div></div></div><div class="diffobj-row"><div class="diffobj-line"><div class="delete"><div class="diffobj-gutter"><div class="delete">&lt;</div><div class="pad"> </div></div><div class="diffobj-text"><div class="delete"><span class="diffobj-trim"> $ </span>pivot: int <span class="diffobj-word delete">[1:2]</span> 1 2<span class="diffobj-trim"></span></div></div></div></div><div class="diffobj-line"><div class="insert"><div class="diffobj-gutter"><div class="insert">&gt;</div><div class="pad"> </div></div><div class="diffobj-text"><div class="insert"><span class="diffobj-trim"> $ </span>pivot: int <span class="diffobj-word insert">[1:4]</span> 1 2 <span class="diffobj-word insert">3</span> <span class="diffobj-word insert">4</span><span class="diffobj-trim"></span></div></div></div></div></div><div class="diffobj-row"><div class="diffobj-line"><div class="diffobj-match"><div class="diffobj-gutter"><div class="diffobj-match">Â </div><div class="pad"> </div></div><div class="diffobj-text"><div class="diffobj-match"><span class="diffobj-trim"> $ </span>tol  : num 1e-07<span class="diffobj-trim"></span></div></div></div></div><div class="diffobj-line"><div class="diffobj-match"><div class="diffobj-gutter"><div class="diffobj-match">Â </div><div class="pad"> </div></div><div class="diffobj-text"><div class="diffobj-match"><span class="diffobj-trim"> $ </span>tol  : num 1e-07<span class="diffobj-trim"></span></div></div></div></div></div><div class="diffobj-row"><div class="diffobj-line"><div class="delete"><div class="diffobj-gutter"><div class="delete">&lt;</div><div class="pad"> </div></div><div class="diffobj-text"><div class="delete"><span class="diffobj-trim"> $ </span>rank : int <span class="diffobj-word delete">2</span><span class="diffobj-trim"></span></div></div></div></div><div class="diffobj-line"><div class="insert"><div class="diffobj-gutter"><div class="insert">&gt;</div><div class="pad"> </div></div><div class="diffobj-text"><div class="insert"><span class="diffobj-trim"> $ </span>rank : int <span class="diffobj-word insert">4</span><span class="diffobj-trim"></span></div></div></div></div></div><div class="diffobj-row"><div class="diffobj-line"><div class="diffobj-match"><div class="diffobj-gutter"><div class="diffobj-match">Â </div><div class="pad"> </div></div><div class="diffobj-text"><div class="diffobj-match"><span class="diffobj-trim"> - </span>attr(*, &quot;class&quot;)= chr &quot;qr&quot;<span class="diffobj-trim"></span></div></div></div></div><div class="diffobj-line"><div class="diffobj-match"><div class="diffobj-gutter"><div class="diffobj-match">Â </div><div class="pad"> </div></div><div class="diffobj-text"><div class="diffobj-match"><span class="diffobj-trim"> - </span>attr(*, &quot;class&quot;)= chr &quot;qr&quot;<span class="diffobj-trim"></span></div></div></div></div></div>3 differences are hidden by our use of `max.level`</pre>
+</div>
+<p>If you specify a <code>line.limit</code> with <code>diffStr</code> it will fold nested levels in order to fit under <code>line.limit</code> so long as there remain visible differences. If you prefer to see all the differences you can leave <code>line.limit</code> unspecified.</p>
+</div>
+<div id="compare-vectors-elements-with-diffchr" class="section level3">
+<h3>Compare Vectors Elements with <code>diffChr</code></h3>
+<p>Sometimes it is useful to do a direct element by element comparison:</p>
+<div class="sourceCode" id="cb4"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb4-1" data-line-number="1"><span class="kw">diffChr</span>(letters[<span class="dv">1</span><span class="op">:</span><span class="dv">3</span>], <span class="kw">c</span>(<span class="st">&quot;a&quot;</span>, <span class="st">&quot;B&quot;</span>, <span class="st">&quot;c&quot;</span>))</a></code></pre></div>
+<div class="diffobj-container light yb">
+<pre class="diffobj-content"><div class="diffobj-row"><div class="diffobj-line banner"><div class="delete"><div class="diffobj-gutter"><div class="delete">&lt;</div><div class="pad"> </div></div><div class="diffobj-text"><div class="delete"><span class="diffobj-word delete">letters[1:3]</span></div></div></div></div><div class="diffobj-line banner"><div class="insert"><div class="diffobj-gutter"><div class="insert">&gt;</div><div class="pad"> </div></div><div class="diffobj-text"><div class="insert"><span class="diffobj-word insert">c(&quot;a&quot;, &quot;B&quot;, &quot;c&quot;)</span></div></div></div></div></div><div class="diffobj-row"><div class="diffobj-line"><div class="diffobj-header">@@ 1,3 @@</div></div><div class="diffobj-line"><div class="diffobj-header">@@ 1,3 @@</div></div></div><div class="diffobj-row"><div class="diffobj-line"><div class="diffobj-match"><div class="diffobj-gutter"><div class="diffobj-match">Â </div><div class="pad"> </div></div><div class="diffobj-text"><div class="diffobj-match"><span class="diffobj-trim"></span>a<span class="diffobj-trim"></span></div></div></div></div><div class="diffobj-line"><div class="diffobj-match"><div class="diffobj-gutter"><div class="diffobj-match">Â </div><div class="pad"> </div></div><div class="diffobj-text"><div class="diffobj-match"><span class="diffobj-trim"></span>a<span class="diffobj-trim"></span></div></div></div></div></div><div class="diffobj-row"><div class="diffobj-line"><div class="delete"><div class="diffobj-gutter"><div class="delete">&lt;</div><div class="pad"> </div></div><div class="diffobj-text"><div class="delete"><span class="diffobj-trim"></span><span class="diffobj-word delete">b</span><span class="diffobj-trim"></span></div></div></div></div><div class="diffobj-line"><div class="insert"><div class="diffobj-gutter"><div class="insert">&gt;</div><div class="pad"> </div></div><div class="diffobj-text"><div class="insert"><span class="diffobj-trim"></span><span class="diffobj-word insert">B</span><span class="diffobj-trim"></span></div></div></div></div></div><div class="diffobj-row"><div class="diffobj-line"><div class="diffobj-match"><div class="diffobj-gutter"><div class="diffobj-match">Â </div><div class="pad"> </div></div><div class="diffobj-text"><div class="diffobj-match"><span class="diffobj-trim"></span>c<span class="diffobj-trim"></span></div></div></div></div><div class="diffobj-line"><div class="diffobj-match"><div class="diffobj-gutter"><div class="diffobj-match">Â </div><div class="pad"> </div></div><div class="diffobj-text"><div class="diffobj-match"><span class="diffobj-trim"></span>c<span class="diffobj-trim"></span></div></div></div></div></div></pre>
+</div>
+<p>Notice how we are comparing the contents of the vectors with one line per element.</p>
+</div>
+<div id="why-s4" class="section level3">
+<h3>Why S4?</h3>
+<p>The <code>diff*</code> functions are defined as S4 generics with default methods (signature <code>c(&quot;ANY&quot;, &quot;ANY&quot;)</code>) so that users can customize behavior for their own objects. For example, a custom method could set many of the default parameters to values more suitable for a particular object. If the objects in question are S3 objects the S3 class will have to be registered with <code>setOldClass</code>.</p>
+</div>
+<div id="return-value" class="section level3">
+<h3>Return Value</h3>
+<p>All the <code>diff*</code> methods return a <code>Diff</code> S4 object. It has a <code>show</code> method which is responsible for rendering the <code>Diff</code> and displaying it to the screen. Because of this you can compute and render diffs in two steps:</p>
+<div class="sourceCode" id="cb5"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb5-1" data-line-number="1">x &lt;-<span class="st"> </span><span class="kw">diffPrint</span>(letters, LETTERS)</a>
+<a class="sourceLine" id="cb5-2" data-line-number="2">x   <span class="co"># or equivalently: `show(x)`</span></a></code></pre></div>
+<p>This may cause the diff to render funny if you change screen widths, etc., between the two steps.</p>
+<p>There are also <code>summary</code>, <code>any</code>, and <code>as.character</code> methods. The <code>summary</code> method provides a high level overview of where the differences are, which can be helpful for large diffs:</p>
+<div class="sourceCode" id="cb6"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb6-1" data-line-number="1"><span class="kw">summary</span>(<span class="kw">diffStr</span>(mdl1, mdl2))</a></code></pre></div>
+<div class="diffobj-container light yb">
+<pre class="diffobj-content"><div class="diffobj-summary"><div class="body">Found differences in 12 hunks:<div class="detail">45 insertions, 39 deletions, 18 matches (lines)</div><br />Diff map (line:char scale is 1:1 for single chars, 1-2:1 for char seqs):</div><div class="map"><span class="diffobj-word delete">D</span><span class="diffobj-word delete">D</span><span class="diffobj-word delete">D</span><span class="diffobj-word insert">I</span><span class="diffobj-word insert">I</span><span class="diffobj-word insert">I</span>.<span class="diffobj-word delete">D</span><span class="diffobj-word delete">D</span><span class="diffobj-word delete">D</span><span class="diffobj-word insert">I</span><span class="diffobj-word insert">I</span><span class="diffobj-word insert">I</span>.<span class="diffobj-word delete">D</span><span class="diffobj-word insert">I</span>.<span class="diffobj-word delete">D</span><span class="diffobj-word insert">I</span>..<span class="diffobj-word delete">D</span><span class="diffobj-word delete">D</span><span class="diffobj-word delete">D</span><span class="diffobj-word insert">I</span><span class="diffobj-word insert">I</span><span class="diffobj-word insert">I</span><span class="diffobj-word insert">I</span><span class="diffobj-word insert">I</span>.<span class="diffobj-word delete">D</span><span class="diffobj-word insert">I</span>.<span class="diffobj-word delete">D</span><span class="diffobj-word delete">D</span><span class="diffobj-word delete">D</span><span class="diffobj-word delete">D</span><span class="diffobj-word delete">D</span><span class="diffobj-word insert">I</span><span class="diffobj-word insert">I</span><span class="diffobj-word insert">I</span><span class="diffobj-word insert">I</span><span class="diffobj-word insert">I</span><span class="diffobj-word insert">I</span><span class="diffobj-word insert">I</span>.<span class="diffobj-word delete">D</span><span class="diffobj-word delete">D</span><span class="diffobj-word delete">D</span><span class="diffobj-word insert">I</span><span class="diffobj-word insert">I</span><span class="diffobj-word insert">I</span>..<span class="diffobj-word delete">D</span><span class="diffobj-word delete">D</span><span class="diffobj-word delete">D</span><span class="diffobj-word insert">I</span><span class="diffobj-word insert">I</span><span class="diffobj-word insert">I</span>..<span class="diffobj-word delete">D</span><span class="diffobj-word delete">D</span><span class="diffobj-word insert">I</span><span class="diffobj-word insert">I</span><span class="diffobj-word insert">I</span>.<span class="diffobj-word delete">D</span><span class="diffobj-word delete">D</span><span class="diffobj-word delete">D</span><span class="diffobj-word insert">I</span><span class="diffobj-word insert">I</span><span class="diffobj-word insert">I</span>..<span class="diffobj-word delete">D</span><span class="diffobj-word delete">D</span><span class="diffobj-word insert">I</span><span class="diffobj-word insert">I</span>.</div></div></pre>
+</div>
+<p><code>any</code> returns TRUE if there are differences, and <code>as.character</code> returns the character representation of the diff.</p>
+</div>
+</div>
+<div id="controlling-diffs-and-their-appearance" class="section level2">
+<h2>Controlling Diffs and Their Appearance</h2>
+<div id="parameters" class="section level3">
+<h3>Parameters</h3>
+<p>The <code>diff*</code> family of methods has an extensive set of parameters that allow you to fine tune how the diff is applied and displayed. We will review some of the major ones in this section. For a full description see <code>?diffPrint</code>.</p>
+<p>While the parameter list is extensive, only the objects being compared are required. All the other parameters have default values, and most of them are for advanced use only. The defaults can all be adjusted via the <code>diffobj.*</code> options.</p>
+</div>
+<div id="display-mode" class="section level3">
+<h3>Display Mode</h3>
+<p>There are three built-in display modes that are similar to those found in GNU <code>diff</code>: â€œsidebysideâ€�, â€œunifiedâ€�, and â€œcontextâ€�. For example, by varying the <code>mode</code> parameter with:</p>
+<div class="sourceCode" id="cb7"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb7-1" data-line-number="1">x &lt;-<span class="st"> </span>y &lt;-<span class="st"> </span>letters[<span class="dv">24</span><span class="op">:</span><span class="dv">26</span>]</a>
+<a class="sourceLine" id="cb7-2" data-line-number="2">y[<span class="dv">2</span>] &lt;-<span class="st"> &quot;GREMLINS&quot;</span></a>
+<a class="sourceLine" id="cb7-3" data-line-number="3"><span class="kw">diffChr</span>(x, y)</a></code></pre></div>
+<p>we get:</p>
+<table>
+<tr>
+<th>
+mode=â€œsidebysideâ€�
+<th>
+mode=â€œunifiedâ€�
+<th>
+mode=â€œcontextâ€�
+<tr style="vertical-align: top">
+<td>
+<div class="diffobj-container light yb">
+<pre class="diffobj-content"><div class="diffobj-row"><div class="diffobj-line banner"><div class="delete"><div class="diffobj-gutter"><div class="delete">&lt;</div><div class="pad"> </div></div><div class="diffobj-text"><div class="delete"><span class="diffobj-word delete">x</span></div></div></div></div><div class="diffobj-line banner"><div class="insert"><div class="diffobj-gutter"><div class="insert">&gt;</div><div class="pad"> </div></div><div class="diffobj-text"><div class="insert"><span class="diffobj-word insert">y</span></div></div></div></div></div><div class="diffobj-row"><div class="diffobj-line"><div class="diffobj-header">@@ 1,3 @@</div></div><div class="diffobj-line"><div class="diffobj-header">@@ 1,3 @@</div></div></div><div class="diffobj-row"><div class="diffobj-line"><div class="diffobj-match"><div class="diffobj-gutter"><div class="diffobj-match">Â </div><div class="pad"> </div></div><div class="diffobj-text"><div class="diffobj-match"><span class="diffobj-trim"></span>x<span class="diffobj-trim"></span></div></div></div></div><div class="diffobj-line"><div class="diffobj-match"><div class="diffobj-gutter"><div class="diffobj-match">Â </div><div class="pad"> </div></div><div class="diffobj-text"><div class="diffobj-match"><span class="diffobj-trim"></span>x<span class="diffobj-trim"></span></div></div></div></div></div><div class="diffobj-row"><div class="diffobj-line"><div class="delete"><div class="diffobj-gutter"><div class="delete">&lt;</div><div class="pad"> </div></div><div class="diffobj-text"><div class="delete"><span class="diffobj-trim"></span><span class="diffobj-word delete">y</span><span class="diffobj-trim"></span></div></div></div></div><div class="diffobj-line"><div class="insert"><div class="diffobj-gutter"><div class="insert">&gt;</div><div class="pad"> </div></div><div class="diffobj-text"><div class="insert"><span class="diffobj-trim"></span><span class="diffobj-word insert">GREMLINS</span><span class="diffobj-trim"></span></div></div></div></div></div><div class="diffobj-row"><div class="diffobj-line"><div class="diffobj-match"><div class="diffobj-gutter"><div class="diffobj-match">Â </div><div class="pad"> </div></div><div class="diffobj-text"><div class="diffobj-match"><span class="diffobj-trim"></span>z<span class="diffobj-trim"></span></div></div></div></div><div class="diffobj-line"><div class="diffobj-match"><div class="diffobj-gutter"><div class="diffobj-match">Â </div><div class="pad"> </div></div><div class="diffobj-text"><div class="diffobj-match"><span class="diffobj-trim"></span>z<span class="diffobj-trim"></span></div></div></div></div></div></pre>
+</div>
+<td>
+<div class="diffobj-container light yb">
+<pre class="diffobj-content"><div class="diffobj-row"><div class="diffobj-line banner"><div class="delete"><div class="diffobj-gutter"><div class="delete">&lt;</div><div class="pad"> </div></div><div class="diffobj-text"><div class="delete"><span class="diffobj-word delete">x</span></div></div></div></div></div><div class="diffobj-row"><div class="diffobj-line banner"><div class="insert"><div class="diffobj-gutter"><div class="insert">&gt;</div><div class="pad"> </div></div><div class="diffobj-text"><div class="insert"><span class="diffobj-word insert">y</span></div></div></div></div></div><div class="diffobj-row"><div class="diffobj-line"><div class="diffobj-header">@@ 1,3 / 1,3 @@</div></div></div><div class="diffobj-row"><div class="diffobj-line"><div class="diffobj-match"><div class="diffobj-gutter"><div class="diffobj-match">Â </div><div class="pad"> </div></div><div class="diffobj-text"><div class="diffobj-match"><span class="diffobj-trim"></span>x<span class="diffobj-trim"></span></div></div></div></div></div><div class="diffobj-row"><div class="diffobj-line"><div class="delete"><div class="diffobj-gutter"><div class="delete">&lt;</div><div class="pad"> </div></div><div class="diffobj-text"><div class="delete"><span class="diffobj-trim"></span><span class="diffobj-word delete">y</span><span class="diffobj-trim"></span></div></div></div></div></div><div class="diffobj-row"><div class="diffobj-line"><div class="insert"><div class="diffobj-gutter"><div class="insert">&gt;</div><div class="pad"> </div></div><div class="diffobj-text"><div class="insert"><span class="diffobj-trim"></span><span class="diffobj-word insert">GREMLINS</span><span class="diffobj-trim"></span></div></div></div></div></div><div class="diffobj-row"><div class="diffobj-line"><div class="diffobj-match"><div class="diffobj-gutter"><div class="diffobj-match">Â </div><div class="pad"> </div></div><div class="diffobj-text"><div class="diffobj-match"><span class="diffobj-trim"></span>z<span class="diffobj-trim"></span></div></div></div></div></div></pre>
+</div>
+<td>
+<div class="diffobj-container light yb">
+<pre class="diffobj-content"><div class="diffobj-row"><div class="diffobj-line banner"><div class="delete"><div class="diffobj-gutter"><div class="delete">&lt;</div><div class="pad"> </div></div><div class="diffobj-text"><div class="delete"><span class="diffobj-word delete">x</span></div></div></div></div></div><div class="diffobj-row"><div class="diffobj-line banner"><div class="insert"><div class="diffobj-gutter"><div class="insert">&gt;</div><div class="pad"> </div></div><div class="diffobj-text"><div class="insert"><span class="diffobj-word insert">y</span></div></div></div></div></div><div class="diffobj-row"><div class="diffobj-line"><div class="diffobj-header">@@ 1,3 / 1,3 @@</div></div></div><div class="diffobj-row"><div class="diffobj-line"><div class="diffobj-match"><div class="diffobj-gutter"><div class="diffobj-match">Â </div><div class="pad"> </div></div><div class="diffobj-text"><div class="diffobj-match"><span class="diffobj-trim"></span>x<span class="diffobj-trim"></span></div></div></div></div></div><div class="diffobj-row"><div class="diffobj-line"><div class="delete"><div class="diffobj-gutter"><div class="delete">&lt;</div><div class="pad"> </div></div><div class="diffobj-text"><div class="delete"><span class="diffobj-trim"></span><span class="diffobj-word delete">y</span><span class="diffobj-trim"></span></div></div></div></div></div><div class="diffobj-row"><div class="diffobj-line"><div class="diffobj-match"><div class="diffobj-gutter"><div class="diffobj-match">Â </div><div class="pad"> </div></div><div class="diffobj-text"><div class="diffobj-match"><span class="diffobj-trim"></span>z<span class="diffobj-trim"></span></div></div></div></div></div><div class="diffobj-row"><div class="diffobj-line"><div class="diffobj-fill"><div class="diffobj-gutter"><div class="context_sep ctd">~</div><div class="pad"> </div></div><div class="diffobj-text"><div class="context_sep">----------</div></div></div></div></div><div class="diffobj-row"><div class="diffobj-line"><div class="diffobj-match"><div class="diffobj-gutter"><div class="diffobj-match">Â </div><div class="pad"> </div></div><div class="diffobj-text"><div class="diffobj-match"><span class="diffobj-trim"></span>x<span class="diffobj-trim"></span></div></div></div></div></div><div class="diffobj-row"><div class="diffobj-line"><div class="insert"><div class="diffobj-gutter"><div class="insert">&gt;</div><div class="pad"> </div></div><div class="diffobj-text"><div class="insert"><span class="diffobj-trim"></span><span class="diffobj-word insert">GREMLINS</span><span class="diffobj-trim"></span></div></div></div></div></div><div class="diffobj-row"><div class="diffobj-line"><div class="diffobj-match"><div class="diffobj-gutter"><div class="diffobj-match">Â </div><div class="pad"> </div></div><div class="diffobj-text"><div class="diffobj-match"><span class="diffobj-trim"></span>z<span class="diffobj-trim"></span></div></div></div></div></div></pre>
+</div>
+</table>
+<p>By default <code>diffobj</code> will try to use <code>mode=&quot;sidebyside&quot;</code> if reasonable given display width, and otherwise will switch to <code>mode=&quot;unified&quot;</code>. You can always force a particular display style by specifying it with the <code>mode</code> argument.</p>
+</div>
+<div id="color-mode" class="section level3">
+<h3>Color Mode</h3>
+<p>The default color mode uses yellow and blue to symbolize deletions and insertions for accessibility to dichromats. If you prefer the more traditional color mode you can specify <code>color.mode=&quot;rgb&quot;</code> in the parameter list, or use <code>options(diffobj.color.mode=&quot;rgb&quot;)</code>:</p>
+<div class="sourceCode" id="cb8"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb8-1" data-line-number="1"><span class="kw">diffChr</span>(x, y, <span class="dt">color.mode=</span><span class="st">&quot;rgb&quot;</span>)</a></code></pre></div>
+<div class="diffobj-container light rgb">
+<pre class="diffobj-content"><div class="diffobj-row"><div class="diffobj-line banner"><div class="delete"><div class="diffobj-gutter"><div class="delete">&lt;</div><div class="pad"> </div></div><div class="diffobj-text"><div class="delete"><span class="diffobj-word delete">x</span></div></div></div></div><div class="diffobj-line banner"><div class="insert"><div class="diffobj-gutter"><div class="insert">&gt;</div><div class="pad"> </div></div><div class="diffobj-text"><div class="insert"><span class="diffobj-word insert">y</span></div></div></div></div></div><div class="diffobj-row"><div class="diffobj-line"><div class="diffobj-header">@@ 1,3 @@</div></div><div class="diffobj-line"><div class="diffobj-header">@@ 1,3 @@</div></div></div><div class="diffobj-row"><div class="diffobj-line"><div class="diffobj-match"><div class="diffobj-gutter"><div class="diffobj-match">Â </div><div class="pad"> </div></div><div class="diffobj-text"><div class="diffobj-match"><span class="diffobj-trim"></span>x<span class="diffobj-trim"></span></div></div></div></div><div class="diffobj-line"><div class="diffobj-match"><div class="diffobj-gutter"><div class="diffobj-match">Â </div><div class="pad"> </div></div><div class="diffobj-text"><div class="diffobj-match"><span class="diffobj-trim"></span>x<span class="diffobj-trim"></span></div></div></div></div></div><div class="diffobj-row"><div class="diffobj-line"><div class="delete"><div class="diffobj-gutter"><div class="delete">&lt;</div><div class="pad"> </div></div><div class="diffobj-text"><div class="delete"><span class="diffobj-trim"></span><span class="diffobj-word delete">y</span><span class="diffobj-trim"></span></div></div></div></div><div class="diffobj-line"><div class="insert"><div class="diffobj-gutter"><div class="insert">&gt;</div><div class="pad"> </div></div><div class="diffobj-text"><div class="insert"><span class="diffobj-trim"></span><span class="diffobj-word insert">GREMLINS</span><span class="diffobj-trim"></span></div></div></div></div></div><div class="diffobj-row"><div class="diffobj-line"><div class="diffobj-match"><div class="diffobj-gutter"><div class="diffobj-match">Â </div><div class="pad"> </div></div><div class="diffobj-text"><div class="diffobj-match"><span class="diffobj-trim"></span>z<span class="diffobj-trim"></span></div></div></div></div><div class="diffobj-line"><div class="diffobj-match"><div class="diffobj-gutter"><div class="diffobj-match">Â </div><div class="pad"> </div></div><div class="diffobj-text"><div class="diffobj-match"><span class="diffobj-trim"></span>z<span class="diffobj-trim"></span></div></div></div></div></div></pre>
+</div>
+</div>
+<div id="output-formats" class="section level3">
+<h3>Output Formats</h3>
+<p>If your terminal supports it <code>diffobj</code> will format the output with ANSI escape sequences. <code>diffobj</code> uses GÃ¡bor CsÃ¡rdiâ€™s <a href="https://github.com/r-lib/crayon"><code>crayon</code></a> package to detect ANSI support and to apply ANSI based formatting. If you are using RStudio or another IDE that supports <code>getOption(&quot;viewer&quot;)</code>, <code>diffobj</code> will output an HTML/CSS formatted diff to the viewport. In other terminals that do not support ANSI colors, <code>diffobj</code> will attempt to output to an HTML/CSS formatted diff to your browser using <code>browseURL</code>.</p>
+<p>You can explicitly specify the output format with the <code>format</code> parameter:</p>
+<ul>
+<li><code>format=&quot;raw&quot;</code> for unformatted diffs</li>
+<li><code>format=&quot;ansi8&quot;</code> for standard ANSI 8 color formatting</li>
+<li><code>format=&quot;ansi256&quot;</code> for ANSI 256 color formatting</li>
+<li><code>format=&quot;html&quot;</code> for HTML/CSS output and styling</li>
+</ul>
+<p>See <a href="#pagers">Pagers</a> for more details.</p>
+</div>
+<div id="brightness" class="section level3">
+<h3>Brightness</h3>
+<p>The <code>brightness</code> parameter allows you to pick a color scheme compatible with the background color of your terminal. The options are:</p>
+<ul>
+<li>â€œlightâ€�: for use with light tone terminals</li>
+<li>â€œdarkâ€�: for use with dark tone terminals</li>
+<li>â€œneutralâ€�: for use with either light or dark terminals</li>
+</ul>
+<p>Here are examples of terminal screen renderings for both â€œrgbâ€� and â€œybâ€� <code>color.mode</code> for the three <code>brightness</code> levels.</p>
+<p><img src="data:image/png;base64,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" /></p>
+<p>The examples for â€œlightâ€� and â€œdarkâ€� have the backgrounds forcefully set to a color compatible with the scheme. In actual use the base background and foreground colors are left unchanged, which will look bad if you use â€œdarkâ€� with light colored backgrounds or vice versa. Since we do not know of a good cross platform way of detecting terminal background color the default <code>brightness</code> value is â€œneutralâ€�.</p>
+<p>At this time the only <code>format</code> that is affected by this parameter is â€œansi256â€�. If you want to specify your own light/dark/neutral schemes you may do so either by specifying a <a href="#styles">style</a> directly or with <a href="#styles">Palette of Styles</a>.</p>
+</div>
+<div id="pagers" class="section level3">
+<h3>Pagers</h3>
+<p>In interactive mode, if the diff output is very long or if your terminal does not support ANSI colors, <code>diff*</code> methods will pipe output to a pager. This is done by writing the output to a temporary file and passing the file reference to the pager. The default action is to invoke the pager with <code>file.show</code> if your terminal supports ANSI colors and the pager is known to support ANSI colors as well (as of this writing, only <code>less</code> is assumed to support ANSI colors), or if not to use <code>getOption(&quot;viewer&quot;)</code> if available (this outputs to the viewport in RStudio), or if not to use <code>browseURL</code>.</p>
+<p>You can fine tune when, how, and if a pager is used with the <code>pager</code> parameter. See <code>?diffPrint</code> and <code>?Pager</code> for more details.</p>
+</div>
+<div id="styles" class="section level3">
+<h3>Styles</h3>
+<p>You can control almost all aspects of the diff output formatting via the <code>style</code> parameter. To do so, pass an appropriately configured <code>Style</code> object. See <code>?Style</code> for more details on how to do this.</p>
+<p>The default is to auto pick a style based on the values of the <code>format</code>, <code>color.mode</code>, and <code>brightness</code> parameters. This is done by using the computed values for each of those parameters to subset the <code>PaletteOfStyles</code> object passed as the <code>palette.of.styles</code> parameter. This <code>PaletteOfStyles</code> object contains a <code>Style</code> object for all the possible permutations of the <code>style</code>, <code>format</code>, and <code>color.mode</code> parameters. See <code>?PaletteOfStyles</code>.</p>
+<p>If you specify the <code>style</code> parameter the values of the <code>format</code>, <code>brightness</code>, and <code>color.mode</code> parameters will be ignored.</p>
+</div>
+</div>
+<div id="diff-algorithm" class="section level2">
+<h2>Diff Algorithm</h2>
+<p>The primary diff algorithm is Myerâ€™s solution to the shortest edit script / longest common sequence problem with the Hirschberg linear space refinement as described in:</p>
+<blockquote>
+<p>E. Myers, â€œAn O(ND) Difference Algorithm and Its Variationsâ€�, Algorithmica 1, 2 (1986), 251-266.</p>
+</blockquote>
+<p>and should be the same algorithm used by GNU diff. The implementation used here is a heavily modified version of Michael B. Allenâ€™s diff program from the <a href="http://www.ioplex.com/~miallen/libmba/dl/libmba-0.9.1.tar.gz"><code>libmba</code></a> <code>C</code> library. Any and all bugs in the C code in this package were most likely introduced by yours truly. Please note that the resulting C code is incompatible with the original <code>libmba</code> library.</p>
+</div>
+<div id="performance-considerations" class="section level2">
+<h2>Performance Considerations</h2>
+<div id="diff" class="section level3">
+<h3>Diff</h3>
+<p>The diff algorithm scales with the <em>square</em> of the number of <em>differences</em>. For reasonably small diffs (&lt; 10K differences), the diff itself is unlikely to be the bottleneck.</p>
+</div>
+<div id="capture-and-processing" class="section level3">
+<h3>Capture and Processing</h3>
+<p>Capture of inputs for <code>diffPrint</code> and <code>diffStr</code>, and processing of output for all <code>diff*</code> methods will account for most of the execution time unless you have large numbers of differences. This input and output processing scales mostly linearly with the input size.</p>
+<p>You can improve performance somewhat by using <code>diffChr</code> since that skips the capture part, and by turning off <code>word.diff</code>:</p>
+<div class="sourceCode" id="cb9"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb9-1" data-line-number="1">v1 &lt;-<span class="st"> </span><span class="dv">1</span><span class="op">:</span><span class="fl">5e4</span></a>
+<a class="sourceLine" id="cb9-2" data-line-number="2">v2 &lt;-<span class="st"> </span>v1[<span class="op">-</span><span class="kw">sample</span>(v1, <span class="dv">100</span>)]</a>
+<a class="sourceLine" id="cb9-3" data-line-number="3"><span class="kw">diffChr</span>(v1, v2, <span class="dt">word.diff=</span><span class="ot">FALSE</span>)</a></code></pre></div>
+<p>will be ~2x as fast as:</p>
+<div class="sourceCode" id="cb10"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb10-1" data-line-number="1"><span class="kw">diffPrint</span>(v1, v2)</a></code></pre></div>
+<p><em>Note</em>: turning off <code>word.diff</code> when using <code>diffPrint</code> with unnamed atomic vectors can actually <em>slow down</em> the diff because there may well be fewer element by element differences than line differences as displayed. For example, when comparing <code>1:1e6</code> to <code>2:1e6</code> there is only one element difference, but every line as displayed is different because of the shift. Using <code>word.diff=TRUE</code> (and <code>unwrap.atomic=TRUE</code>) allows <code>diffPrint</code> to compare element by element rather than line by line. <code>diffChr</code> always compares element by element.</p>
+</div>
+<div id="minimal-diff" class="section level3">
+<h3>Minimal Diff</h3>
+<p>If you are looking for the fastest possible diff you can use <code>ses</code> and completely bypass most input and output processing. Inputs will be coerced to character if they are not character.</p>
+<div class="sourceCode" id="cb11"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb11-1" data-line-number="1"><span class="kw">ses</span>(letters[<span class="dv">1</span><span class="op">:</span><span class="dv">5</span>], letters[<span class="kw">c</span>(<span class="dv">2</span><span class="op">:</span><span class="dv">3</span>, <span class="dv">5</span>)])</a></code></pre></div>
+<pre><code>## [1] &quot;1d0&quot; &quot;4d2&quot;</code></pre>
+<p>This will be 10-20x faster than <code>diffChr</code>, at the cost of less useful output.</p>
+</div>
+</div>
+
+
+
+<!-- code folding -->
+
+
+<!-- dynamically load mathjax for compatibility with self-contained -->
+<script>
+  (function () {
+    var script = document.createElement("script");
+    script.type = "text/javascript";
+    script.src  = "https://mathjax.rstudio.com/latest/MathJax.js?config=TeX-AMS-MML_HTMLorMML";
+    document.getElementsByTagName("head")[0].appendChild(script);
+  })();
+</script>
+
+</body>
+</html>

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+<!DOCTYPE html>
+<html>
+<head><title>R: Vignettes and other documentation</title>
+<meta http-equiv="Content-Type" content="text/html; charset=utf-8" />
+<meta name="viewport" content="width=device-width, initial-scale=1.0, user-scalable=yes" />
+<link rel="stylesheet" type="text/css" href="/doc/html/R.css" />
+</head><body><div class="container">
+<h1> Vignettes and other documentation
+<img class="toplogo" src="/doc/html/Rlogo.svg" alt="[R logo]" />
+</h1>
+<hr/>
+<div style="text-align: center;">
+<a href="/doc/html/index.html"><img class="arrow" src="/doc/html/up.jpg" alt="[Top]" /></a>
+</div>
+<h2>Vignettes from package 'diffobj'</h2>
+<table style="width: 100%;">
+<col style="width: 22%;" />
+<col style="width:  2%;" />
+<col style="width: 50%;" />
+<col style="width:  8%;" />
+<col style="width:  8%;" />
+<col style="width:  8%;" />
+<tr><td style="text-align: right; vertical-align: top;"><a href="../../../library/diffobj/doc/diffobj.html">diffobj::diffobj</a></td>
+<td></td><td style="vertical-align: top;">Introduction to Diffobj</td>
+<td style="vertical-align: top;"><a href="../../../library/diffobj/doc/diffobj.html">HTML</a></td>
+<td style="vertical-align: top;"><a href="../../../library/diffobj/doc/diffobj.Rmd">source</a></td>
+<td style="vertical-align: top; white-space: nowrap"><a href="../../../library/diffobj/doc/diffobj.R">R code</a></td></tr>
+<tr><td style="text-align: right; vertical-align: top;"><a href="../../../library/diffobj/doc/embed.html">diffobj::embed</a></td>
+<td></td><td style="vertical-align: top;">Embed Diffs in R Markdown Or Shiny</td>
+<td style="vertical-align: top;"><a href="../../../library/diffobj/doc/embed.html">HTML</a></td>
+<td style="vertical-align: top;"><a href="../../../library/diffobj/doc/embed.Rmd">source</a></td>
+<td style="vertical-align: top; white-space: nowrap"><a href="../../../library/diffobj/doc/embed.R">R code</a></td></tr>
+</table>
+</div></body></html>

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--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/diffobj/css/diffobj.css	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/diffobj/css/diffobj.css	(revision 3761)
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+/* Structural CSS ------------------------------------------------------------*/
+/*
+ * TBD whether we want a more fully table like structure; some of the visual
+ * cues provided by the current set-up are useful (line wraps, etc.)
+ */
+
+DIV.diffobj-container PRE.diffobj-content {
+  white-space: pre-wrap;
+  margin: 0;
+}
+DIV.diffobj-container DIV.diffobj-row {
+  width: 100%;
+  font-family: monospace;
+  display: table;
+  table-layout: fixed;
+}
+DIV.diffobj-container DIV.diffobj-line {
+  width: auto;
+  display: table-cell;
+  overflow: hidden;
+}
+DIV.diffobj-container DIV.diffobj-line>DIV {
+  width: 100%;
+  display: table;
+  table-layout: auto;
+}
+DIV.diffobj-container DIV.diffobj-line.banner>DIV {
+  display: table;
+  table-layout: auto; /* set to fixed in JS */
+}
+DIV.diffobj-container DIV.diffobj-text {
+  display: table-cell;
+  width: 100%;
+}
+DIV.diffobj-container DIV.diffobj-gutter {
+  display: table-cell;
+  padding: 0 0.2em;
+}
+DIV.diffobj-container DIV.diffobj-gutter DIV {
+  display: table-cell;
+}
+#diffobj_content_meta DIV.diffobj-container DIV.diffobj-row {
+  width: auto;
+}
+#diffobj_banner_meta DIV.diffobj-container DIV.diffobj-line.banner>DIV {
+  table-layout: auto;
+}
+#diffobj_outer {
+  overflow: hidden;
+}
+/* Summary -------------------------------------------------------------------*/ 
+
+DIV.diffobj-container DIV.diffobj-summary DIV.map {
+  word-wrap: break-word;
+  padding-left: 1em;
+}
+DIV.diffobj-container DIV.diffobj-summary DIV.detail {
+  padding-left: 1em;
+}
+
+/* Common elements -----------------------------------------------------------*/
+
+DIV.diffobj-container DIV.diffobj-line.banner {
+  font-size: 1.2em;
+  font-weight: bold;
+  overflow: hidden;
+}
+/* truncate banners */
+DIV.diffobj-container DIV.diffobj-line.banner DIV.diffobj-text DIV{
+  white-space: nowrap;
+  overflow: hidden;
+  text-overflow: ellipsis;
+  width: 100%;             /* need to compute and set in JS */
+}
+DIV.diffobj-container DIV.diffobj-gutter,
+DIV.diffobj-container DIV.diffobj-guide,
+DIV.diffobj-container DIV.diffobj-fill,
+DIV.diffobj-container DIV.context_sep,
+DIV.diffobj-container SPAN.diffobj-trim {
+  color: #999;
+}
+DIV.diffobj-container DIV.diffobj-header {
+  font-size: 1.1em;
+}
+DIV.diffobj-container DIV.diffobj-text>DIV.diffobj-match,
+DIV.diffobj-container DIV.diffobj-text>DIV.diffobj-guide {
+  background-color: #ffffff;
+}
+DIV.diffobj-container DIV.diffobj-text>DIV.diffobj-fill {
+  background-color: transparent;
+}
+DIV.diffobj-container DIV.diffobj-text>DIV {
+  padding-right: 3px;
+}
+DIV.diffobj-container DIV.diffobj-text>DIV {
+  border-left: 1px solid #888888;
+}
+DIV.diffobj-container DIV.diffobj-line {
+  background-color: #eeeeee;
+}
+DIV.diffobj-container DIV.diffobj-text>DIV,
+DIV.diffobj-container DIV.diffobj-header {
+  padding-left: 0.5em;
+}
+DIV.diffobj-container DIV.diffobj-line>DIV.diffobj-match,
+DIV.diffobj-container DIV.diffobj-line>DIV.diffobj-fill,
+DIV.diffobj-container DIV.diffobj-line>DIV.diffobj-guide {
+  border-left: 1px solid #888888;
+}
+/* github inspired color scheme - default ------------------------------------*/
+
+DIV.diffobj-container.light.rgb SPAN.diffobj-word.insert,
+DIV.diffobj-container.light.rgb DIV.diffobj-line>DIV.insert {
+  background-color: #a6f3a6;
+}
+DIV.diffobj-container.light.rgb SPAN.diffobj-word.delete,
+DIV.diffobj-container.light.rgb DIV.diffobj-line>DIV.delete {
+  background-color: #f8c2c2;
+}
+DIV.diffobj-container.light.rgb DIV.diffobj-text>DIV.insert {
+  background-color: #efffef;
+}
+DIV.diffobj-container.light.rgb DIV.diffobj-text>DIV.insert,
+DIV.diffobj-container.light.rgb DIV.diffobj-line>DIV.insert {
+  border-left: 1px solid #33bb33;
+}
+DIV.diffobj-container.light.rgb DIV.diffobj-text>DIV.delete {
+  background-color: #ffefef;
+}
+DIV.diffobj-container.light.rgb DIV.diffobj-text>DIV.delete,
+DIV.diffobj-container.light.rgb DIV.diffobj-line>DIV.delete {
+  border-left: 1px solid #cc6666;
+}
+DIV.diffobj-container.light.rgb DIV.diffobj-header {
+  background-color: #e0e6fa;
+  border-left: 1px solid #9894b6;
+}
+/* Yellow Blue variation -----------------------------------------------------*/
+
+DIV.diffobj-container.light.yb SPAN.diffobj-word.insert,
+DIV.diffobj-container.light.yb DIV.diffobj-line>DIV.insert {
+  background-color: #c0cfff;
+}
+DIV.diffobj-container.light.yb SPAN.diffobj-word.delete,
+DIV.diffobj-container.light.yb DIV.diffobj-line>DIV.delete {
+  background-color: #e7e780;
+}
+DIV.diffobj-container.light.yb DIV.diffobj-text>DIV.insert {
+  background-color: #efefff;
+}
+DIV.diffobj-container.light.yb DIV.diffobj-text>DIV.insert,
+DIV.diffobj-container.light.yb DIV.diffobj-line>DIV.insert {
+  border-left: 1px solid #3333bb;
+}
+DIV.diffobj-container.light.yb DIV.diffobj-text>DIV.delete {
+  background-color: #fefee5;
+}
+DIV.diffobj-container.light.yb DIV.diffobj-text>DIV.delete,
+DIV.diffobj-container.light.yb DIV.diffobj-line>DIV.delete {
+  border-left: 1px solid #aaaa55;
+}
+DIV.diffobj-container.light.yb DIV.diffobj-header {
+  background-color: #afafaf;
+  border-left: 1px solid #e3e3e3;
+  color: #e9e9e9;
+}
+DIV.diffobj-container.light.yb DIV.diffobj-line {
+  background-color: #eeeeee;
+}

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+diffobj-package	diffobj-package
+AlignThreshold	AlignThreshold-class
+AlignThreshold-class	AlignThreshold-class
+any,Diff-method	any-Diff-method
+as.character,Diff-method	diffobj_s4method_doc
+as.character,DiffSummary-method	as.character-DiffSummary-method
+as.character,MyersMbaSes-method	as.character-MyersMbaSes-method
+auto_context	auto_context
+console_lines	console_lines
+cont_f	tag_f
+Diff-class	Diff-class
+diffChr	diffChr
+diffChr,ANY-method	diffChr
+diffCsv	diffCsv
+diffCsv,ANY-method	diffCsv
+diffDeparse	diffDeparse
+diffDeparse,ANY-method	diffDeparse
+diffFile	diffFile
+diffFile,ANY-method	diffFile
+diffObj	diffObj
+diffobj_css	webfiles
+diffobj_js	webfiles
+diffobj_s4method_doc	diffobj_s4method_doc
+diffobj_set_def_opts	diffobj_set_def_opts
+diffPrint	diffPrint
+diffPrint,ANY-method	diffPrint
+diffStr	diffStr
+diffStr,ANY-method	diffStr
+diff_myers	diff_myers
+dimnames,PaletteOfStyles-method	dimnames-PaletteOfStyles-method
+div_f	tag_f
+div_f,	tag_f
+finalizeHtml	finalizeHtml
+finalizeHtml,ANY-method	finalizeHtml
+finalizeHtml,Diff-method	finalizeHtml
+finalizeHtml,DiffSummary-method	finalizeHtml
+gdo	gdo
+guides	guides
+guidesChr	guides
+guidesChr,	guides
+guidesChr,ANY,character-method	guides
+guidesDeparse	guides
+guidesDeparse,ANY,character-method	guides
+guidesFile	guides
+guidesFile,ANY,character-method	guides
+guidesPrint	guides
+guidesPrint,	guides
+guidesPrint,ANY,character-method	guides
+guidesStr	guides
+guidesStr,	guides
+guidesStr,ANY,character-method	guides
+has_Rdiff	has_Rdiff
+head,Diff-method	extract-Diff-method
+make_blocking	make_blocking
+nchar_html	nchar_html
+Pager	Pager
+PagerBrowser	Pager
+PagerOff	Pager
+PagerOff,	Pager
+PagerOff-class	Pager
+PagerSystem	Pager
+PagerSystem,	Pager
+PagerSystem-class	Pager
+PagerSystemLess	Pager
+PagerSystemLess,	Pager
+PagerSystemLess-class	Pager
+pager_is_less	pager_is_less
+PaletteOfStyles	PaletteOfStyles-class
+PaletteOfStyles-class	PaletteOfStyles-class
+par_frame	par_frame
+Rdiff_chr	Rdiff_chr
+Rdiff_obj	Rdiff_chr
+ses	ses
+ses_dat	ses
+show,DiffSummary-method	show-DiffSummary-method
+show,MyersMbaSes-method	diffobj_s4method_doc
+show,PaletteOfStyles-method	show-PaletteOfStyles-method
+show,Style-method	show-Style-method
+show,StyleHtml-method	show-Style-method
+span_f	tag_f
+span_f,	tag_f
+strip_hz_control	strip_hz_control
+Style	Style
+Style-class	Style
+StyleAnsi	Style
+StyleAnsi-class	Style
+StyleAnsi256DarkRgb	Style
+StyleAnsi256DarkRgb-class	Style
+StyleAnsi256DarkYb	Style
+StyleAnsi256DarkYb-class	Style
+StyleAnsi256LightRgb	Style
+StyleAnsi256LightRgb-class	Style
+StyleAnsi256LightYb	Style
+StyleAnsi256LightYb-class	Style
+StyleAnsi8NeutralRgb	Style
+StyleAnsi8NeutralRgb-class	Style
+StyleAnsi8NeutralYb	Style
+StyleAnsi8NeutralYb-class	Style
+StyleFuns	StyleFuns
+StyleFuns-class	StyleFuns
+StyleHtml	Style
+StyleHtml-class	Style
+StyleHtmlLightRgb	Style
+StyleHtmlLightRgb-class	Style
+StyleHtmlLightYb	Style
+StyleHtmlLightYb-class	Style
+StyleRaw	Style
+StyleRaw-class	Style
+StyleSummary	StyleSummary
+StyleSummary-class	StyleSummary
+StyleSummaryHtml	StyleSummary
+StyleSummaryHtml-class	StyleSummary
+StyleText	StyleText
+StyleText-class	StyleText
+summary,Diff-method	summary-Diff-method
+summary,MyersMbaSes-method	summary-MyersMbaSes-method
+summary,PaletteOfStyles-method	summary-PaletteOfStyles-method
+tag_f	tag_f
+tail,Diff-method	extract-Diff-method
+trim	trim
+trimChr	trim
+trimChr,	trim
+trimChr,ANY,character-method	trim
+trimDeparse	trim
+trimDeparse,	trim
+trimDeparse,ANY,character-method	trim
+trimFile	trim
+trimFile,ANY,character-method	trim
+trimPrint	trim
+trimPrint,	trim
+trimPrint,ANY,character-method	trim
+trimStr	trim
+trimStr,	trim
+trimStr,ANY,character-method	trim
+view_or_browse	view_or_browse
+webfiles	webfiles
+[,Diff,numeric,missing,missing-method	extract-Diff-method
+[,PaletteOfStyles,ANY,ANY,ANY-method	Extract_PaletteOfStyles
+[<-,PaletteOfStyles-method	Extract_PaletteOfStyles
+[[,PaletteOfStyles-method	Extract_PaletteOfStyles
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/diffobj/help/paths.rds
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Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/class/R/class
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/class/R/class	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/class/R/class	(revision 3761)
@@ -0,0 +1,27 @@
+#  File share/R/nspackloader.R
+#  Part of the R package, https://www.R-project.org
+#
+#  Copyright (C) 1995-2012 The R Core Team
+#
+#  This program is free software; you can redistribute it and/or modify
+#  it under the terms of the GNU General Public License as published by
+#  the Free Software Foundation; either version 2 of the License, or
+#  (at your option) any later version.
+#
+#  This program is distributed in the hope that it will be useful,
+#  but WITHOUT ANY WARRANTY; without even the implied warranty of
+#  MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
+#  GNU General Public License for more details.
+#
+#  A copy of the GNU General Public License is available at
+#  https://www.r-project.org/Licenses/
+
+local({
+    info <- loadingNamespaceInfo()
+    pkg <- info$pkgname
+    ns <- .getNamespace(as.name(pkg))
+    if (is.null(ns))
+        stop("cannot find namespace environment for ", pkg, domain = NA);
+    dbbase <- file.path(info$libname, pkg, "R", pkg)
+    lazyLoad(dbbase, ns, filter = function(n) n != ".__NAMESPACE__.")
+})
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Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/class/help/AnIndex
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/class/help/AnIndex	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/class/help/AnIndex	(revision 3761)
@@ -0,0 +1,17 @@
+batchSOM	batchSOM
+condense	condense
+knn	knn
+knn.cv	knn.cv
+knn1	knn1
+lvq1	lvq1
+lvq2	lvq2
+lvq3	lvq3
+lvqinit	lvqinit
+lvqtest	lvqtest
+multiedit	multiedit
+olvq1	olvq1
+plot.SOM	somgrid
+plot.somgrid	somgrid
+reduce.nn	reduce.nn
+SOM	SOM
+somgrid	somgrid
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/class/help/paths.rds
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===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/splines/R/splines	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/splines/R/splines	(revision 3761)
@@ -0,0 +1,27 @@
+#  File share/R/nspackloader.R
+#  Part of the R package, https://www.R-project.org
+#
+#  Copyright (C) 1995-2012 The R Core Team
+#
+#  This program is free software; you can redistribute it and/or modify
+#  it under the terms of the GNU General Public License as published by
+#  the Free Software Foundation; either version 2 of the License, or
+#  (at your option) any later version.
+#
+#  This program is distributed in the hope that it will be useful,
+#  but WITHOUT ANY WARRANTY; without even the implied warranty of
+#  MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
+#  GNU General Public License for more details.
+#
+#  A copy of the GNU General Public License is available at
+#  https://www.r-project.org/Licenses/
+
+local({
+    info <- loadingNamespaceInfo()
+    pkg <- info$pkgname
+    ns <- .getNamespace(as.name(pkg))
+    if (is.null(ns))
+        stop("cannot find namespace environment for ", pkg, domain = NA);
+    dbbase <- file.path(info$libname, pkg, "R", pkg)
+    lazyLoad(dbbase, ns, filter = function(n) n != ".__NAMESPACE__.")
+})
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===================================================================
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Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/splines/html/R.css
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/splines/html/R.css	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/splines/html/R.css	(revision 3761)
@@ -0,0 +1,120 @@
+@media screen {
+    .container {
+	padding-right: 10px;
+	padding-left: 10px;
+	margin-right: auto;
+	margin-left: auto;
+	max-width: 900px;
+    }
+}
+
+.rimage img { /* from knitr - for examples and demos */
+    width: 96%;
+    margin-left: 2%;
+} 	
+
+.katex { font-size: 1.1em; }
+
+code {
+    color: inherit;
+    background: inherit;
+}
+
+body {
+    line-height: 1.4;
+    background: white;
+    color: black;
+}
+
+a:link {
+    background: white;
+    color: blue;
+}
+
+a:visited {
+    background: white;
+    color: rgb(50%, 0%, 50%);
+}
+
+h1 {
+    background: white;
+    color: rgb(55%, 55%, 55%);
+    font-family: monospace;
+    font-size: 1.4em; /* x-large; */
+    text-align: center;
+}
+
+h2 {
+    background: white;
+    color: rgb(40%, 40%, 40%);
+    font-family: monospace;
+    font-size: 1.2em; /* large; */
+    text-align: center;
+}
+
+h3 {
+    background: white;
+    color: rgb(40%, 40%, 40%);
+    font-family: monospace;
+    font-size: 1.2em; /* large; */
+}
+
+h4 {
+    background: white;
+    color: rgb(40%, 40%, 40%);
+    font-family: monospace;
+    font-style: italic;
+    font-size: 1.2em; /* large; */
+}
+
+h5 {
+    background: white;
+    color: rgb(40%, 40%, 40%);
+    font-family: monospace;
+}
+
+h6 {
+    background: white;
+    color: rgb(40%, 40%, 40%);
+    font-family: monospace;
+    font-style: italic;
+}
+
+img.toplogo {
+    width: 4em;
+    vertical-align: middle;
+}
+
+img.arrow {
+    width: 30px;
+    height: 30px;
+    border: 0;
+}
+
+span.acronym {
+    font-size: small;
+}
+
+span.env {
+    font-family: monospace;
+}
+
+span.file {
+    font-family: monospace;
+}
+
+span.option{
+    font-family: monospace;
+}
+
+span.pkg {
+    font-weight: bold;
+}
+
+span.samp{
+    font-family: monospace;
+}
+
+div.vignettes a:hover {
+    background: rgb(85%, 85%, 85%);
+}

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Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/splines/html/00Index.html
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/splines/html/00Index.html	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/splines/html/00Index.html	(revision 3761)
@@ -0,0 +1,69 @@
+<!DOCTYPE html>
+<html>
+<head><title>R: Regression Spline Functions and Classes</title>
+<meta http-equiv="Content-Type" content="text/html; charset=utf-8" />
+<meta name="viewport" content="width=device-width, initial-scale=1.0, user-scalable=yes" />
+<link rel="stylesheet" type="text/css" href="R.css" />
+</head><body><div class="container">
+<h1> Regression Spline Functions and Classes
+<img class="toplogo" src="../../../doc/html/Rlogo.svg" alt="[R logo]" />
+</h1>
+<hr/>
+<div style="text-align: center;">
+<a href="../../../doc/html/packages.html"><img class="arrow" src="../../../doc/html/left.jpg" alt="[Up]" /></a>
+<a href="../../../doc/html/index.html"><img class="arrow" src="../../../doc/html/up.jpg" alt="[Top]" /></a>
+</div><h2>Documentation for package &lsquo;splines&rsquo; version 4.2.2</h2>
+
+<ul><li><a href="../DESCRIPTION">DESCRIPTION file</a>.</li>
+</ul>
+
+<h2>Help Pages</h2>
+
+
+<table style="width: 100%;">
+<tr><td style="width: 25%;"><a href="splines-package.html">splines-package</a></td>
+<td>Regression Spline Functions and Classes</td></tr>
+<tr><td style="width: 25%;"><a href="polySpline.html">as.polySpline</a></td>
+<td>Piecewise Polynomial Spline Representation</td></tr>
+<tr><td style="width: 25%;"><a href="asVector.html">asVector</a></td>
+<td>Coerce an Object to a Vector</td></tr>
+<tr><td style="width: 25%;"><a href="backSpline.html">backSpline</a></td>
+<td>Monotone Inverse Spline</td></tr>
+<tr><td style="width: 25%;"><a href="bs.html">bs</a></td>
+<td>B-Spline Basis for Polynomial Splines</td></tr>
+<tr><td style="width: 25%;"><a href="interpSpline.html">interpSpline</a></td>
+<td>Create an Interpolation Spline</td></tr>
+<tr><td style="width: 25%;"><a href="ns.html">ns</a></td>
+<td>Generate a Basis Matrix for Natural Cubic Splines</td></tr>
+<tr><td style="width: 25%;"><a href="periodicSpline.html">periodicSpline</a></td>
+<td>Create a Periodic Interpolation Spline</td></tr>
+<tr><td style="width: 25%;"><a href="polySpline.html">polySpline</a></td>
+<td>Piecewise Polynomial Spline Representation</td></tr>
+<tr><td style="width: 25%;"><a href="predict.bs.html">predict.bs</a></td>
+<td>Evaluate a Spline Basis</td></tr>
+<tr><td style="width: 25%;"><a href="predict.bSpline.html">predict.bSpline</a></td>
+<td>Evaluate a Spline at New Values of x</td></tr>
+<tr><td style="width: 25%;"><a href="predict.bSpline.html">predict.nbSpline</a></td>
+<td>Evaluate a Spline at New Values of x</td></tr>
+<tr><td style="width: 25%;"><a href="predict.bSpline.html">predict.npolySpline</a></td>
+<td>Evaluate a Spline at New Values of x</td></tr>
+<tr><td style="width: 25%;"><a href="predict.bs.html">predict.ns</a></td>
+<td>Evaluate a Spline Basis</td></tr>
+<tr><td style="width: 25%;"><a href="predict.bSpline.html">predict.pbSpline</a></td>
+<td>Evaluate a Spline at New Values of x</td></tr>
+<tr><td style="width: 25%;"><a href="predict.bSpline.html">predict.ppolySpline</a></td>
+<td>Evaluate a Spline at New Values of x</td></tr>
+<tr><td style="width: 25%;"><a href="splineDesign.html">spline.des</a></td>
+<td>Design Matrix for B-splines</td></tr>
+<tr><td style="width: 25%;"><a href="splineDesign.html">splineDesign</a></td>
+<td>Design Matrix for B-splines</td></tr>
+<tr><td style="width: 25%;"><a href="splineKnots.html">splineKnots</a></td>
+<td>Knot Vector from a Spline</td></tr>
+<tr><td style="width: 25%;"><a href="splineOrder.html">splineOrder</a></td>
+<td>Determine the Order of a Spline</td></tr>
+<tr><td style="width: 25%;"><a href="splines-package.html">splines</a></td>
+<td>Regression Spline Functions and Classes</td></tr>
+<tr><td style="width: 25%;"><a href="xyVector.html">xyVector</a></td>
+<td>Construct an 'xyVector' Object</td></tr>
+</table>
+</div></body></html>

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--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/splines/help/AnIndex	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/splines/help/AnIndex	(revision 3761)
@@ -0,0 +1,22 @@
+splines-package	splines-package
+as.polySpline	polySpline
+asVector	asVector
+backSpline	backSpline
+bs	bs
+interpSpline	interpSpline
+ns	ns
+periodicSpline	periodicSpline
+polySpline	polySpline
+predict.bs	predict.bs
+predict.bSpline	predict.bSpline
+predict.nbSpline	predict.bSpline
+predict.npolySpline	predict.bSpline
+predict.ns	predict.bs
+predict.pbSpline	predict.bSpline
+predict.ppolySpline	predict.bSpline
+spline.des	splineDesign
+splineDesign	splineDesign
+splineKnots	splineKnots
+splineOrder	splineOrder
+splines	splines-package
+xyVector	xyVector
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/splines/help/paths.rds
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Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/isoband/doc/isoband1.R
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/isoband/doc/isoband1.R	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/isoband/doc/isoband1.R	(revision 3761)
@@ -0,0 +1,72 @@
+## ----setup, include = FALSE---------------------------------------------------
+knitr::opts_chunk$set(
+  collapse = TRUE,
+  comment = "#>"
+)
+
+## -----------------------------------------------------------------------------
+library(isoband)
+library(grid)
+
+m <- matrix(
+  c(0, 0, 0, 0, 0,
+    0, 1, 2, 1, 0,
+    0, 1, 2, 0, 0,
+    0, 1, 0, 1, 0,
+    0, 0, 0, 0, 0),
+  5, 5, byrow = TRUE
+)
+
+lines <- isolines(x = 1:ncol(m)/6, y = nrow(m):1/6, z = m, levels = 0.5)
+lines
+grid.newpage()
+grid.draw(polylineGrob(lines[[1]]$x, lines[[1]]$y, lines[[1]]$id))
+
+bands <- isobands(x = 1:ncol(m)/6, y = nrow(m):1/6, z = m, levels_low = 0.5, levels_high = 1.5)
+bands
+grid.newpage()
+grid.draw(pathGrob(bands[[1]]$x, bands[[1]]$y, bands[[1]]$id, gp = gpar(fill = "cornsilk")))
+
+## -----------------------------------------------------------------------------
+plot_iso(m, 0.5, 1.5)
+
+## -----------------------------------------------------------------------------
+m <- matrix(
+  c(NA, NA, NA, 0, 0, 0,
+    NA, NA, NA, 1, 1, 0,
+     0,  0,  1, 1, 1, 0,
+     0,  1,  1, 0, 0, 0,
+     0,  0,  0, 1, 0, 0,
+     0,  0,  0, 0, 0, 0),
+  6, 6, byrow = TRUE
+)
+plot_iso(m, 0.5, 1.5)
+
+## -----------------------------------------------------------------------------
+m <- matrix(
+  c(0, 0, 1, 1,
+    0, 1, 1, 1,
+    1, 1, 0, 0,
+    0, 0, 0.8, 0),
+  4, 4, byrow = TRUE
+)
+plot_iso(m, 0.5, 1.5)
+
+## -----------------------------------------------------------------------------
+# contouring with contourLines() from grDevices
+fn_contourLines <- function() {
+  grDevices::contourLines(1:ncol(volcano), 1:nrow(volcano), volcano, levels = 10*(10:18))
+}
+
+# contouring with isolines()
+fn_isolines <- function() {
+  isolines(1:ncol(volcano), 1:nrow(volcano), volcano, 10*(10:18))
+}
+
+# contouring with isobands()
+fn_isobands <- function() {
+  isobands(1:ncol(volcano), 1:nrow(volcano), volcano, 10*(9:17), 10*(10:18))
+}
+
+microbenchmark::microbenchmark(fn_contourLines(), fn_isolines(), fn_isobands())
+
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/isoband/doc/isoband1.Rmd
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/isoband/doc/isoband1.Rmd	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/isoband/doc/isoband1.Rmd	(revision 3761)
@@ -0,0 +1,104 @@
+---
+title: "Generating isolines and isobands"
+author: "Claus O. Wilke"
+date: "`r Sys.Date()`"
+output: rmarkdown::html_vignette
+vignette: >
+  %\VignetteIndexEntry{Generating isolines and isobands}
+  %\VignetteEngine{knitr::rmarkdown}
+  %\VignetteEncoding{UTF-8}
+---
+
+```{r setup, include = FALSE}
+knitr::opts_chunk$set(
+  collapse = TRUE,
+  comment = "#>"
+)
+```
+
+The isoband package implements fast algorithms for generating isolines (lines of equal elevation) and isobands (ranges of elevation delimited by two isolines) from a matrix of elevation data. For both cases, the package employs the marching squares algorithms as described on [Wikipedia.](https://en.wikipedia.org/wiki/Marching_squares) Marching squares algorithms break down the elevation matrix into blocks of 2x2 elevation values. For each block, they then determine the appropriate isolines/isobands from a lookup table of all possible arrangements of isolines or isobands within a 2x2 block. There are 16 distinct possibilities for isolines and 81 for isobands. The implementation in the isoband package goes beyond the algorithm described on Wikipedia in that it merges the isolines or isobands from separate blocks into extended line traces or polygons. The package is meant as a low-level package with minimal required dependencies. Therefore, many of the functions provided may not immediately be useful to endusers, but they will enable developers of other packages to integrate isolines and isobands into their feature set. 
+
+The two main functions of the package are called `isolines()` and `isobands()`, and they have similar user interfaces and return values. Both take a vector `x` specifying the x values corresponding to the columns of the elevation matrix, a vector `y` specifying the y values corresponding to the rows of the elevation matrix, and an elevation matrix `z`. The two functions differ in that `isolines()` takes a single argument `levels` specifying the elevation levels for which isolines should be calculated, whereas `isobands()` takes two arguments, `levels_low` and `levels_high`, specifying the lower and upper bounds for each isoband. The return value in both cases is a list of lists. The outer list contains one list element for each specified isolevel. The inner lists hold line or polygon data in the form `x`, `y`, `id` as used by `grid::polylineGrob()` or `grid::pathGrob()`. The format has been chosen for easy drawing of the resulting values via these two grid functions.
+
+```{r}
+library(isoband)
+library(grid)
+
+m <- matrix(
+  c(0, 0, 0, 0, 0,
+    0, 1, 2, 1, 0,
+    0, 1, 2, 0, 0,
+    0, 1, 0, 1, 0,
+    0, 0, 0, 0, 0),
+  5, 5, byrow = TRUE
+)
+
+lines <- isolines(x = 1:ncol(m)/6, y = nrow(m):1/6, z = m, levels = 0.5)
+lines
+grid.newpage()
+grid.draw(polylineGrob(lines[[1]]$x, lines[[1]]$y, lines[[1]]$id))
+
+bands <- isobands(x = 1:ncol(m)/6, y = nrow(m):1/6, z = m, levels_low = 0.5, levels_high = 1.5)
+bands
+grid.newpage()
+grid.draw(pathGrob(bands[[1]]$x, bands[[1]]$y, bands[[1]]$id, gp = gpar(fill = "cornsilk")))
+```
+
+A convenience function `plot_iso()` can be used to inspect a single isoband and corresponding isolines for an elevation matrix. This function is mostly meant for debugging and illustration purposes. It draws a grid of matrix points colored by whether each point is below, within, or above the isoband, as well as the isoband itself and the enclosing isolines.
+
+```{r}
+plot_iso(m, 0.5, 1.5)
+```
+
+The isoband package handles `NA` values in the matrix by simply ignoring the respective grid points.
+
+```{r}
+m <- matrix(
+  c(NA, NA, NA, 0, 0, 0,
+    NA, NA, NA, 1, 1, 0,
+     0,  0,  1, 1, 1, 0,
+     0,  1,  1, 0, 0, 0,
+     0,  0,  0, 1, 0, 0,
+     0,  0,  0, 0, 0, 0),
+  6, 6, byrow = TRUE
+)
+plot_iso(m, 0.5, 1.5)
+```
+
+Isobands can contain holes, as shown above, and they can also consist of multiple disconnected pieces.
+
+```{r}
+m <- matrix(
+  c(0, 0, 1, 1,
+    0, 1, 1, 1,
+    1, 1, 0, 0,
+    0, 0, 0.8, 0),
+  4, 4, byrow = TRUE
+)
+plot_iso(m, 0.5, 1.5)
+```
+
+
+# Performance
+
+The code is written in C++ and performance is generally good. Isolining is about as fast as `grDevices::contourLines()`, isobanding is approximately 2.5 times slower.
+
+
+```{r}
+# contouring with contourLines() from grDevices
+fn_contourLines <- function() {
+  grDevices::contourLines(1:ncol(volcano), 1:nrow(volcano), volcano, levels = 10*(10:18))
+}
+
+# contouring with isolines()
+fn_isolines <- function() {
+  isolines(1:ncol(volcano), 1:nrow(volcano), volcano, 10*(10:18))
+}
+
+# contouring with isobands()
+fn_isobands <- function() {
+  isobands(1:ncol(volcano), 1:nrow(volcano), volcano, 10*(9:17), 10*(10:18))
+}
+
+microbenchmark::microbenchmark(fn_contourLines(), fn_isolines(), fn_isobands())
+```
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/isoband/doc/isoband3.R
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/isoband/doc/isoband3.R	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/isoband/doc/isoband3.R	(revision 3761)
@@ -0,0 +1,115 @@
+## ----setup, include = FALSE---------------------------------------------------
+knitr::opts_chunk$set(
+  collapse = TRUE,
+  comment = "#>"
+)
+
+## -----------------------------------------------------------------------------
+library(isoband)
+library(grid)
+
+x <- (0:(ncol(volcano) - 1))/(ncol(volcano) - 1)
+y <- ((nrow(volcano) - 1):0)/(nrow(volcano) - 1)
+lines <- isolines(x, y, volcano, 5*(19:38))
+
+g <- isolines_grob(
+  lines, breaks = 20*(5:10),
+  gp = gpar(
+    fontsize = 10,
+    lwd = c(1, 2, 1, 1),
+    col = c("grey50", "grey20", "grey50", "grey50")
+  )
+)
+
+grid.newpage()
+grid.draw(g)
+
+## -----------------------------------------------------------------------------
+g <- isolines_grob(
+  lines, breaks = 20*(5:10),
+  margin = unit(c(3, 5, 3, 5), "pt"), # margin specified as top, right, bottom, left
+  gp = gpar(
+    fontsize = 10,
+    lwd = c(1, 2, 1, 1),
+    col = c("grey50", "grey20", "grey50", "grey50")
+  )
+)
+
+grid.newpage()
+grid.draw(g)
+
+## -----------------------------------------------------------------------------
+g <- isolines_grob(
+  lines, breaks = 20*(5:10),
+  gp = gpar(
+    fontsize = 10,
+    lwd = c(1, 2, 1, 1),
+    col = c("grey50", "grey20", "grey50", "grey50")
+  ),
+  label_placer = label_placer_minmax(
+    placement = "rl", # place labels right and left, i.e., min and max x
+    rot_adjuster = angle_fixed(pi/2) # set fixed angle of 90 degrees
+  )
+)
+
+grid.newpage()
+grid.draw(g)
+
+## -----------------------------------------------------------------------------
+g <- isolines_grob(
+  lines, breaks = 20*(5:10),
+  gp = gpar(
+    lwd = c(1, 2, 1, 1),
+    col = c("grey50", "grey20", "grey50", "grey50")
+  ),
+  label_placer = label_placer_none()
+)
+
+grid.newpage()
+grid.draw(g)
+
+## -----------------------------------------------------------------------------
+g <- isolines_grob(
+  lines, breaks = 20*(5:10),
+  gp = gpar(
+    fontsize = 12,
+    lwd = c(1, 2, 1, 1),
+    col = c("grey50", "grey20", "grey50", "grey50")
+  ),
+  label_col = "red",
+  label_placer = label_placer_manual(
+    breaks = c("120", "160", "160"),
+    x = c(0.15, 0.5, 0.6),
+    y = c(0.19, 0.51, 0.87),
+    theta = 0
+  )
+)
+
+grid.newpage()
+grid.draw(g)
+
+## -----------------------------------------------------------------------------
+viridis_pal <- colorRampPalette(
+  c("#440154", "#414487", "#2A788E", "#22A884", "#7AD151", "#FDE725"),
+  space = "Lab"
+)
+
+bands <- isobands(x, y, volcano, 5*(18:38), 5*(19:39))
+
+b <- isobands_grob(
+  bands,
+  gp = gpar(col = NA, fill = viridis_pal(21), alpha = 0.4)
+)
+l <- isolines_grob(
+  lines, breaks = 20*(5:10),
+  gp = gpar(
+    fontsize = 10,
+    lwd = c(1, 2, 1, 1),
+    col = c("grey50", "grey20", "grey50", "grey50")
+  )
+)
+
+grid.newpage()
+grid.draw(b)
+grid.draw(l)
+
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/isoband/doc/isoband1.html
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/isoband/doc/isoband1.html	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/isoband/doc/isoband1.html	(revision 3761)
@@ -0,0 +1,523 @@
+<!DOCTYPE html>
+
+<html>
+
+<head>
+
+<meta charset="utf-8" />
+<meta name="generator" content="pandoc" />
+<meta http-equiv="X-UA-Compatible" content="IE=EDGE" />
+
+<meta name="viewport" content="width=device-width, initial-scale=1" />
+
+<meta name="author" content="Claus O. Wilke" />
+
+<meta name="date" content="2022-12-19" />
+
+<title>Generating isolines and isobands</title>
+
+<script>// Pandoc 2.9 adds attributes on both header and div. We remove the former (to
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+div.sourceCode
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+</style>
+<script>
+// apply pandoc div.sourceCode style to pre.sourceCode instead
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+
+
+
+<h1 class="title toc-ignore">Generating isolines and isobands</h1>
+<h4 class="author">Claus O. Wilke</h4>
+<h4 class="date">2022-12-19</h4>
+
+
+
+<p>The isoband package implements fast algorithms for generating
+isolines (lines of equal elevation) and isobands (ranges of elevation
+delimited by two isolines) from a matrix of elevation data. For both
+cases, the package employs the marching squares algorithms as described
+on <a href="https://en.wikipedia.org/wiki/Marching_squares">Wikipedia.</a>
+Marching squares algorithms break down the elevation matrix into blocks
+of 2x2 elevation values. For each block, they then determine the
+appropriate isolines/isobands from a lookup table of all possible
+arrangements of isolines or isobands within a 2x2 block. There are 16
+distinct possibilities for isolines and 81 for isobands. The
+implementation in the isoband package goes beyond the algorithm
+described on Wikipedia in that it merges the isolines or isobands from
+separate blocks into extended line traces or polygons. The package is
+meant as a low-level package with minimal required dependencies.
+Therefore, many of the functions provided may not immediately be useful
+to endusers, but they will enable developers of other packages to
+integrate isolines and isobands into their feature set.</p>
+<p>The two main functions of the package are called
+<code>isolines()</code> and <code>isobands()</code>, and they have
+similar user interfaces and return values. Both take a vector
+<code>x</code> specifying the x values corresponding to the columns of
+the elevation matrix, a vector <code>y</code> specifying the y values
+corresponding to the rows of the elevation matrix, and an elevation
+matrix <code>z</code>. The two functions differ in that
+<code>isolines()</code> takes a single argument <code>levels</code>
+specifying the elevation levels for which isolines should be calculated,
+whereas <code>isobands()</code> takes two arguments,
+<code>levels_low</code> and <code>levels_high</code>, specifying the
+lower and upper bounds for each isoband. The return value in both cases
+is a list of lists. The outer list contains one list element for each
+specified isolevel. The inner lists hold line or polygon data in the
+form <code>x</code>, <code>y</code>, <code>id</code> as used by
+<code>grid::polylineGrob()</code> or <code>grid::pathGrob()</code>. The
+format has been chosen for easy drawing of the resulting values via
+these two grid functions.</p>
+<div class="sourceCode" id="cb1"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb1-1"><a href="#cb1-1" aria-hidden="true" tabindex="-1"></a><span class="fu">library</span>(isoband)</span>
+<span id="cb1-2"><a href="#cb1-2" aria-hidden="true" tabindex="-1"></a><span class="fu">library</span>(grid)</span>
+<span id="cb1-3"><a href="#cb1-3" aria-hidden="true" tabindex="-1"></a></span>
+<span id="cb1-4"><a href="#cb1-4" aria-hidden="true" tabindex="-1"></a>m <span class="ot">&lt;-</span> <span class="fu">matrix</span>(</span>
+<span id="cb1-5"><a href="#cb1-5" aria-hidden="true" tabindex="-1"></a>  <span class="fu">c</span>(<span class="dv">0</span>, <span class="dv">0</span>, <span class="dv">0</span>, <span class="dv">0</span>, <span class="dv">0</span>,</span>
+<span id="cb1-6"><a href="#cb1-6" aria-hidden="true" tabindex="-1"></a>    <span class="dv">0</span>, <span class="dv">1</span>, <span class="dv">2</span>, <span class="dv">1</span>, <span class="dv">0</span>,</span>
+<span id="cb1-7"><a href="#cb1-7" aria-hidden="true" tabindex="-1"></a>    <span class="dv">0</span>, <span class="dv">1</span>, <span class="dv">2</span>, <span class="dv">0</span>, <span class="dv">0</span>,</span>
+<span id="cb1-8"><a href="#cb1-8" aria-hidden="true" tabindex="-1"></a>    <span class="dv">0</span>, <span class="dv">1</span>, <span class="dv">0</span>, <span class="dv">1</span>, <span class="dv">0</span>,</span>
+<span id="cb1-9"><a href="#cb1-9" aria-hidden="true" tabindex="-1"></a>    <span class="dv">0</span>, <span class="dv">0</span>, <span class="dv">0</span>, <span class="dv">0</span>, <span class="dv">0</span>),</span>
+<span id="cb1-10"><a href="#cb1-10" aria-hidden="true" tabindex="-1"></a>  <span class="dv">5</span>, <span class="dv">5</span>, <span class="at">byrow =</span> <span class="cn">TRUE</span></span>
+<span id="cb1-11"><a href="#cb1-11" aria-hidden="true" tabindex="-1"></a>)</span>
+<span id="cb1-12"><a href="#cb1-12" aria-hidden="true" tabindex="-1"></a></span>
+<span id="cb1-13"><a href="#cb1-13" aria-hidden="true" tabindex="-1"></a>lines <span class="ot">&lt;-</span> <span class="fu">isolines</span>(<span class="at">x =</span> <span class="dv">1</span><span class="sc">:</span><span class="fu">ncol</span>(m)<span class="sc">/</span><span class="dv">6</span>, <span class="at">y =</span> <span class="fu">nrow</span>(m)<span class="sc">:</span><span class="dv">1</span><span class="sc">/</span><span class="dv">6</span>, <span class="at">z =</span> m, <span class="at">levels =</span> <span class="fl">0.5</span>)</span>
+<span id="cb1-14"><a href="#cb1-14" aria-hidden="true" tabindex="-1"></a>lines</span>
+<span id="cb1-15"><a href="#cb1-15" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt; $`0.5`</span></span>
+<span id="cb1-16"><a href="#cb1-16" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt; $`0.5`$x</span></span>
+<span id="cb1-17"><a href="#cb1-17" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt;  [1] 0.6666667 0.5833333 0.5000000 0.4166667 0.3333333 0.2500000 0.2500000</span></span>
+<span id="cb1-18"><a href="#cb1-18" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt;  [8] 0.2500000 0.3333333 0.5000000 0.6666667 0.7500000 0.6666667 0.6250000</span></span>
+<span id="cb1-19"><a href="#cb1-19" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt; [15] 0.6666667 0.7500000 0.6666667</span></span>
+<span id="cb1-20"><a href="#cb1-20" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt; </span></span>
+<span id="cb1-21"><a href="#cb1-21" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt; $`0.5`$y</span></span>
+<span id="cb1-22"><a href="#cb1-22" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt;  [1] 0.2500000 0.3333333 0.3750000 0.3333333 0.2500000 0.3333333 0.5000000</span></span>
+<span id="cb1-23"><a href="#cb1-23" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt;  [8] 0.6666667 0.7500000 0.7916667 0.7500000 0.6666667 0.5833333 0.5000000</span></span>
+<span id="cb1-24"><a href="#cb1-24" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt; [15] 0.4166667 0.3333333 0.2500000</span></span>
+<span id="cb1-25"><a href="#cb1-25" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt; </span></span>
+<span id="cb1-26"><a href="#cb1-26" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt; $`0.5`$id</span></span>
+<span id="cb1-27"><a href="#cb1-27" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt;  [1] 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1</span></span>
+<span id="cb1-28"><a href="#cb1-28" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt; </span></span>
+<span id="cb1-29"><a href="#cb1-29" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt; </span></span>
+<span id="cb1-30"><a href="#cb1-30" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt; attr(,&quot;class&quot;)</span></span>
+<span id="cb1-31"><a href="#cb1-31" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt; [1] &quot;isolines&quot; &quot;iso&quot;</span></span>
+<span id="cb1-32"><a href="#cb1-32" aria-hidden="true" tabindex="-1"></a><span class="fu">grid.newpage</span>()</span>
+<span id="cb1-33"><a href="#cb1-33" aria-hidden="true" tabindex="-1"></a><span class="fu">grid.draw</span>(<span class="fu">polylineGrob</span>(lines[[<span class="dv">1</span>]]<span class="sc">$</span>x, lines[[<span class="dv">1</span>]]<span class="sc">$</span>y, lines[[<span class="dv">1</span>]]<span class="sc">$</span>id))</span></code></pre></div>
+<p><img src="data:image/png;base64,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" /><!-- --></p>
+<div class="sourceCode" id="cb2"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb2-1"><a href="#cb2-1" aria-hidden="true" tabindex="-1"></a></span>
+<span id="cb2-2"><a href="#cb2-2" aria-hidden="true" tabindex="-1"></a>bands <span class="ot">&lt;-</span> <span class="fu">isobands</span>(<span class="at">x =</span> <span class="dv">1</span><span class="sc">:</span><span class="fu">ncol</span>(m)<span class="sc">/</span><span class="dv">6</span>, <span class="at">y =</span> <span class="fu">nrow</span>(m)<span class="sc">:</span><span class="dv">1</span><span class="sc">/</span><span class="dv">6</span>, <span class="at">z =</span> m, <span class="at">levels_low =</span> <span class="fl">0.5</span>, <span class="at">levels_high =</span> <span class="fl">1.5</span>)</span>
+<span id="cb2-3"><a href="#cb2-3" aria-hidden="true" tabindex="-1"></a>bands</span>
+<span id="cb2-4"><a href="#cb2-4" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt; $`0.5:1.5`</span></span>
+<span id="cb2-5"><a href="#cb2-5" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt; $`0.5:1.5`$x</span></span>
+<span id="cb2-6"><a href="#cb2-6" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt;  [1] 0.4166667 0.3333333 0.2500000 0.2500000 0.2500000 0.3333333 0.5000000</span></span>
+<span id="cb2-7"><a href="#cb2-7" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt;  [8] 0.6666667 0.7500000 0.6666667 0.6250000 0.6666667 0.7500000 0.6666667</span></span>
+<span id="cb2-8"><a href="#cb2-8" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt; [15] 0.5833333 0.5000000 0.5000000 0.5416667 0.5833333 0.5000000 0.4166667</span></span>
+<span id="cb2-9"><a href="#cb2-9" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt; [22] 0.4166667</span></span>
+<span id="cb2-10"><a href="#cb2-10" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt; </span></span>
+<span id="cb2-11"><a href="#cb2-11" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt; $`0.5:1.5`$y</span></span>
+<span id="cb2-12"><a href="#cb2-12" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt;  [1] 0.3333333 0.2500000 0.3333333 0.5000000 0.6666667 0.7500000 0.7916667</span></span>
+<span id="cb2-13"><a href="#cb2-13" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt;  [8] 0.7500000 0.6666667 0.5833333 0.5000000 0.4166667 0.3333333 0.2500000</span></span>
+<span id="cb2-14"><a href="#cb2-14" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt; [15] 0.3333333 0.3750000 0.4583333 0.5000000 0.6666667 0.7083333 0.6666667</span></span>
+<span id="cb2-15"><a href="#cb2-15" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt; [22] 0.5000000</span></span>
+<span id="cb2-16"><a href="#cb2-16" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt; </span></span>
+<span id="cb2-17"><a href="#cb2-17" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt; $`0.5:1.5`$id</span></span>
+<span id="cb2-18"><a href="#cb2-18" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt;  [1] 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 2 2 2 2 2 2</span></span>
+<span id="cb2-19"><a href="#cb2-19" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt; </span></span>
+<span id="cb2-20"><a href="#cb2-20" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt; </span></span>
+<span id="cb2-21"><a href="#cb2-21" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt; attr(,&quot;class&quot;)</span></span>
+<span id="cb2-22"><a href="#cb2-22" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt; [1] &quot;isobands&quot; &quot;iso&quot;</span></span>
+<span id="cb2-23"><a href="#cb2-23" aria-hidden="true" tabindex="-1"></a><span class="fu">grid.newpage</span>()</span>
+<span id="cb2-24"><a href="#cb2-24" aria-hidden="true" tabindex="-1"></a><span class="fu">grid.draw</span>(<span class="fu">pathGrob</span>(bands[[<span class="dv">1</span>]]<span class="sc">$</span>x, bands[[<span class="dv">1</span>]]<span class="sc">$</span>y, bands[[<span class="dv">1</span>]]<span class="sc">$</span>id, <span class="at">gp =</span> <span class="fu">gpar</span>(<span class="at">fill =</span> <span class="st">&quot;cornsilk&quot;</span>)))</span></code></pre></div>
+<p><img src="data:image/png;base64,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" /><!-- --></p>
+<p>A convenience function <code>plot_iso()</code> can be used to inspect
+a single isoband and corresponding isolines for an elevation matrix.
+This function is mostly meant for debugging and illustration purposes.
+It draws a grid of matrix points colored by whether each point is below,
+within, or above the isoband, as well as the isoband itself and the
+enclosing isolines.</p>
+<div class="sourceCode" id="cb3"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb3-1"><a href="#cb3-1" aria-hidden="true" tabindex="-1"></a><span class="fu">plot_iso</span>(m, <span class="fl">0.5</span>, <span class="fl">1.5</span>)</span></code></pre></div>
+<p><img src="data:image/png;base64,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" /><!-- --></p>
+<p>The isoband package handles <code>NA</code> values in the matrix by
+simply ignoring the respective grid points.</p>
+<div class="sourceCode" id="cb4"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb4-1"><a href="#cb4-1" aria-hidden="true" tabindex="-1"></a>m <span class="ot">&lt;-</span> <span class="fu">matrix</span>(</span>
+<span id="cb4-2"><a href="#cb4-2" aria-hidden="true" tabindex="-1"></a>  <span class="fu">c</span>(<span class="cn">NA</span>, <span class="cn">NA</span>, <span class="cn">NA</span>, <span class="dv">0</span>, <span class="dv">0</span>, <span class="dv">0</span>,</span>
+<span id="cb4-3"><a href="#cb4-3" aria-hidden="true" tabindex="-1"></a>    <span class="cn">NA</span>, <span class="cn">NA</span>, <span class="cn">NA</span>, <span class="dv">1</span>, <span class="dv">1</span>, <span class="dv">0</span>,</span>
+<span id="cb4-4"><a href="#cb4-4" aria-hidden="true" tabindex="-1"></a>     <span class="dv">0</span>,  <span class="dv">0</span>,  <span class="dv">1</span>, <span class="dv">1</span>, <span class="dv">1</span>, <span class="dv">0</span>,</span>
+<span id="cb4-5"><a href="#cb4-5" aria-hidden="true" tabindex="-1"></a>     <span class="dv">0</span>,  <span class="dv">1</span>,  <span class="dv">1</span>, <span class="dv">0</span>, <span class="dv">0</span>, <span class="dv">0</span>,</span>
+<span id="cb4-6"><a href="#cb4-6" aria-hidden="true" tabindex="-1"></a>     <span class="dv">0</span>,  <span class="dv">0</span>,  <span class="dv">0</span>, <span class="dv">1</span>, <span class="dv">0</span>, <span class="dv">0</span>,</span>
+<span id="cb4-7"><a href="#cb4-7" aria-hidden="true" tabindex="-1"></a>     <span class="dv">0</span>,  <span class="dv">0</span>,  <span class="dv">0</span>, <span class="dv">0</span>, <span class="dv">0</span>, <span class="dv">0</span>),</span>
+<span id="cb4-8"><a href="#cb4-8" aria-hidden="true" tabindex="-1"></a>  <span class="dv">6</span>, <span class="dv">6</span>, <span class="at">byrow =</span> <span class="cn">TRUE</span></span>
+<span id="cb4-9"><a href="#cb4-9" aria-hidden="true" tabindex="-1"></a>)</span>
+<span id="cb4-10"><a href="#cb4-10" aria-hidden="true" tabindex="-1"></a><span class="fu">plot_iso</span>(m, <span class="fl">0.5</span>, <span class="fl">1.5</span>)</span></code></pre></div>
+<p><img src="data:image/png;base64,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" /><!-- --></p>
+<p>Isobands can contain holes, as shown above, and they can also consist
+of multiple disconnected pieces.</p>
+<div class="sourceCode" id="cb5"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb5-1"><a href="#cb5-1" aria-hidden="true" tabindex="-1"></a>m <span class="ot">&lt;-</span> <span class="fu">matrix</span>(</span>
+<span id="cb5-2"><a href="#cb5-2" aria-hidden="true" tabindex="-1"></a>  <span class="fu">c</span>(<span class="dv">0</span>, <span class="dv">0</span>, <span class="dv">1</span>, <span class="dv">1</span>,</span>
+<span id="cb5-3"><a href="#cb5-3" aria-hidden="true" tabindex="-1"></a>    <span class="dv">0</span>, <span class="dv">1</span>, <span class="dv">1</span>, <span class="dv">1</span>,</span>
+<span id="cb5-4"><a href="#cb5-4" aria-hidden="true" tabindex="-1"></a>    <span class="dv">1</span>, <span class="dv">1</span>, <span class="dv">0</span>, <span class="dv">0</span>,</span>
+<span id="cb5-5"><a href="#cb5-5" aria-hidden="true" tabindex="-1"></a>    <span class="dv">0</span>, <span class="dv">0</span>, <span class="fl">0.8</span>, <span class="dv">0</span>),</span>
+<span id="cb5-6"><a href="#cb5-6" aria-hidden="true" tabindex="-1"></a>  <span class="dv">4</span>, <span class="dv">4</span>, <span class="at">byrow =</span> <span class="cn">TRUE</span></span>
+<span id="cb5-7"><a href="#cb5-7" aria-hidden="true" tabindex="-1"></a>)</span>
+<span id="cb5-8"><a href="#cb5-8" aria-hidden="true" tabindex="-1"></a><span class="fu">plot_iso</span>(m, <span class="fl">0.5</span>, <span class="fl">1.5</span>)</span></code></pre></div>
+<p><img 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" /><!-- --></p>
+<div id="performance" class="section level1">
+<h1>Performance</h1>
+<p>The code is written in C++ and performance is generally good.
+Isolining is about as fast as <code>grDevices::contourLines()</code>,
+isobanding is approximately 2.5 times slower.</p>
+<div class="sourceCode" id="cb6"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb6-1"><a href="#cb6-1" aria-hidden="true" tabindex="-1"></a><span class="co"># contouring with contourLines() from grDevices</span></span>
+<span id="cb6-2"><a href="#cb6-2" aria-hidden="true" tabindex="-1"></a>fn_contourLines <span class="ot">&lt;-</span> <span class="cf">function</span>() {</span>
+<span id="cb6-3"><a href="#cb6-3" aria-hidden="true" tabindex="-1"></a>  grDevices<span class="sc">::</span><span class="fu">contourLines</span>(<span class="dv">1</span><span class="sc">:</span><span class="fu">ncol</span>(volcano), <span class="dv">1</span><span class="sc">:</span><span class="fu">nrow</span>(volcano), volcano, <span class="at">levels =</span> <span class="dv">10</span><span class="sc">*</span>(<span class="dv">10</span><span class="sc">:</span><span class="dv">18</span>))</span>
+<span id="cb6-4"><a href="#cb6-4" aria-hidden="true" tabindex="-1"></a>}</span>
+<span id="cb6-5"><a href="#cb6-5" aria-hidden="true" tabindex="-1"></a></span>
+<span id="cb6-6"><a href="#cb6-6" aria-hidden="true" tabindex="-1"></a><span class="co"># contouring with isolines()</span></span>
+<span id="cb6-7"><a href="#cb6-7" aria-hidden="true" tabindex="-1"></a>fn_isolines <span class="ot">&lt;-</span> <span class="cf">function</span>() {</span>
+<span id="cb6-8"><a href="#cb6-8" aria-hidden="true" tabindex="-1"></a>  <span class="fu">isolines</span>(<span class="dv">1</span><span class="sc">:</span><span class="fu">ncol</span>(volcano), <span class="dv">1</span><span class="sc">:</span><span class="fu">nrow</span>(volcano), volcano, <span class="dv">10</span><span class="sc">*</span>(<span class="dv">10</span><span class="sc">:</span><span class="dv">18</span>))</span>
+<span id="cb6-9"><a href="#cb6-9" aria-hidden="true" tabindex="-1"></a>}</span>
+<span id="cb6-10"><a href="#cb6-10" aria-hidden="true" tabindex="-1"></a></span>
+<span id="cb6-11"><a href="#cb6-11" aria-hidden="true" tabindex="-1"></a><span class="co"># contouring with isobands()</span></span>
+<span id="cb6-12"><a href="#cb6-12" aria-hidden="true" tabindex="-1"></a>fn_isobands <span class="ot">&lt;-</span> <span class="cf">function</span>() {</span>
+<span id="cb6-13"><a href="#cb6-13" aria-hidden="true" tabindex="-1"></a>  <span class="fu">isobands</span>(<span class="dv">1</span><span class="sc">:</span><span class="fu">ncol</span>(volcano), <span class="dv">1</span><span class="sc">:</span><span class="fu">nrow</span>(volcano), volcano, <span class="dv">10</span><span class="sc">*</span>(<span class="dv">9</span><span class="sc">:</span><span class="dv">17</span>), <span class="dv">10</span><span class="sc">*</span>(<span class="dv">10</span><span class="sc">:</span><span class="dv">18</span>))</span>
+<span id="cb6-14"><a href="#cb6-14" aria-hidden="true" tabindex="-1"></a>}</span>
+<span id="cb6-15"><a href="#cb6-15" aria-hidden="true" tabindex="-1"></a></span>
+<span id="cb6-16"><a href="#cb6-16" aria-hidden="true" tabindex="-1"></a>microbenchmark<span class="sc">::</span><span class="fu">microbenchmark</span>(<span class="fu">fn_contourLines</span>(), <span class="fu">fn_isolines</span>(), <span class="fu">fn_isobands</span>())</span>
+<span id="cb6-17"><a href="#cb6-17" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt; Warning in microbenchmark::microbenchmark(fn_contourLines(), fn_isolines(), :</span></span>
+<span id="cb6-18"><a href="#cb6-18" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt; less accurate nanosecond times to avoid potential integer overflows</span></span>
+<span id="cb6-19"><a href="#cb6-19" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt; Unit: microseconds</span></span>
+<span id="cb6-20"><a href="#cb6-20" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt;               expr      min       lq      mean    median       uq       max</span></span>
+<span id="cb6-21"><a href="#cb6-21" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt;  fn_contourLines()  822.419  897.982 1036.6727  963.3565  995.070  5253.822</span></span>
+<span id="cb6-22"><a href="#cb6-22" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt;      fn_isolines()  566.948  587.653  616.8585  601.2445  614.549  1795.964</span></span>
+<span id="cb6-23"><a href="#cb6-23" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt;      fn_isobands() 1327.867 1375.693 1778.1007 1399.7400 1421.593 36578.314</span></span>
+<span id="cb6-24"><a href="#cb6-24" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt;  neval cld</span></span>
+<span id="cb6-25"><a href="#cb6-25" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt;    100  a </span></span>
+<span id="cb6-26"><a href="#cb6-26" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt;    100  a </span></span>
+<span id="cb6-27"><a href="#cb6-27" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt;    100   b</span></span></code></pre></div>
+</div>
+
+
+
+<!-- code folding -->
+
+
+<!-- dynamically load mathjax for compatibility with self-contained -->
+<script>
+  (function () {
+    var script = document.createElement("script");
+    script.type = "text/javascript";
+    script.src  = "https://mathjax.rstudio.com/latest/MathJax.js?config=TeX-AMS-MML_HTMLorMML";
+    document.getElementsByTagName("head")[0].appendChild(script);
+  })();
+</script>
+
+</body>
+</html>

Property changes on: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/isoband/doc/isoband1.html
___________________________________________________________________
Added: svn:mime-type
   + text/plain

Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/isoband/doc/isoband3.Rmd
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/isoband/doc/isoband3.Rmd	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/isoband/doc/isoband3.Rmd	(revision 3761)
@@ -0,0 +1,144 @@
+---
+title: "Labeled isolines"
+author: "Claus O. Wilke"
+date: "`r Sys.Date()`"
+output: rmarkdown::html_vignette
+vignette: >
+  %\VignetteIndexEntry{Labeled isolines}
+  %\VignetteEngine{knitr::rmarkdown}
+  %\VignetteEncoding{UTF-8}
+---
+
+```{r setup, include = FALSE}
+knitr::opts_chunk$set(
+  collapse = TRUE,
+  comment = "#>"
+)
+```
+
+Labeled isolines can be drawn in the grid graphics system via the `isolines_grob()` function.
+
+```{r}
+library(isoband)
+library(grid)
+
+x <- (0:(ncol(volcano) - 1))/(ncol(volcano) - 1)
+y <- ((nrow(volcano) - 1):0)/(nrow(volcano) - 1)
+lines <- isolines(x, y, volcano, 5*(19:38))
+
+g <- isolines_grob(
+  lines, breaks = 20*(5:10),
+  gp = gpar(
+    fontsize = 10,
+    lwd = c(1, 2, 1, 1),
+    col = c("grey50", "grey20", "grey50", "grey50")
+  )
+)
+
+grid.newpage()
+grid.draw(g)
+```
+
+The function places labels at the isolines specified via the `breaks` argument, and it crops isolines around the labels so no lines run into the labels. It is possible to leave extra space around the labels using the `margin` argument.
+
+```{r}
+g <- isolines_grob(
+  lines, breaks = 20*(5:10),
+  margin = unit(c(3, 5, 3, 5), "pt"), # margin specified as top, right, bottom, left
+  gp = gpar(
+    fontsize = 10,
+    lwd = c(1, 2, 1, 1),
+    col = c("grey50", "grey20", "grey50", "grey50")
+  )
+)
+
+grid.newpage()
+grid.draw(g)
+```
+
+Where the labels are drawn can be controlled via the `label_placer` argument. A few different label placement strategies are provided. The default, `label_placer_minmax()`, places labels at the maximum and minimum y value for each isoline. However, this label placer can be further customized. For example, labels can be placed at maximum and minimum x values and at a fixed rotation angle of 90 degrees.
+```{r}
+g <- isolines_grob(
+  lines, breaks = 20*(5:10),
+  gp = gpar(
+    fontsize = 10,
+    lwd = c(1, 2, 1, 1),
+    col = c("grey50", "grey20", "grey50", "grey50")
+  ),
+  label_placer = label_placer_minmax(
+    placement = "rl", # place labels right and left, i.e., min and max x
+    rot_adjuster = angle_fixed(pi/2) # set fixed angle of 90 degrees
+  )
+)
+
+grid.newpage()
+grid.draw(g)
+```
+
+The label placer `label_placer_none()` doesn't place any labels.
+
+```{r}
+g <- isolines_grob(
+  lines, breaks = 20*(5:10),
+  gp = gpar(
+    lwd = c(1, 2, 1, 1),
+    col = c("grey50", "grey20", "grey50", "grey50")
+  ),
+  label_placer = label_placer_none()
+)
+
+grid.newpage()
+grid.draw(g)
+```
+
+We can also place labels entirely manually by using `label_placer_manual()`. This label placer takes as arguments the breaks that should be labeled and the corresponding coordinates and label angles. Breaks for which no coordinates are specified are ignored. If multiple coordinates are supplied for the same break then multiple labels are placed for that break.
+
+```{r}
+g <- isolines_grob(
+  lines, breaks = 20*(5:10),
+  gp = gpar(
+    fontsize = 12,
+    lwd = c(1, 2, 1, 1),
+    col = c("grey50", "grey20", "grey50", "grey50")
+  ),
+  label_col = "red",
+  label_placer = label_placer_manual(
+    breaks = c("120", "160", "160"),
+    x = c(0.15, 0.5, 0.6),
+    y = c(0.19, 0.51, 0.87),
+    theta = 0
+  )
+)
+
+grid.newpage()
+grid.draw(g)
+```
+
+Because isolines are cropped around the labels, the labeling strategy works even if the isolines are drawn on top of a colored background. For example, we could draw filled isobands using `isobands_grob()` and then draw labeled lines on top.
+
+
+```{r}
+viridis_pal <- colorRampPalette(
+  c("#440154", "#414487", "#2A788E", "#22A884", "#7AD151", "#FDE725"),
+  space = "Lab"
+)
+
+bands <- isobands(x, y, volcano, 5*(18:38), 5*(19:39))
+
+b <- isobands_grob(
+  bands,
+  gp = gpar(col = NA, fill = viridis_pal(21), alpha = 0.4)
+)
+l <- isolines_grob(
+  lines, breaks = 20*(5:10),
+  gp = gpar(
+    fontsize = 10,
+    lwd = c(1, 2, 1, 1),
+    col = c("grey50", "grey20", "grey50", "grey50")
+  )
+)
+
+grid.newpage()
+grid.draw(b)
+grid.draw(l)
+```
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/isoband/doc/isoband3.html
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/isoband/doc/isoband3.html	(revision 0)
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@@ -0,0 +1,492 @@
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+<meta name="author" content="Claus O. Wilke" />
+
+<meta name="date" content="2022-12-19" />
+
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+
+
+
+<h1 class="title toc-ignore">Labeled isolines</h1>
+<h4 class="author">Claus O. Wilke</h4>
+<h4 class="date">2022-12-19</h4>
+
+
+
+<p>Labeled isolines can be drawn in the grid graphics system via the
+<code>isolines_grob()</code> function.</p>
+<div class="sourceCode" id="cb1"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb1-1"><a href="#cb1-1" aria-hidden="true" tabindex="-1"></a><span class="fu">library</span>(isoband)</span>
+<span id="cb1-2"><a href="#cb1-2" aria-hidden="true" tabindex="-1"></a><span class="fu">library</span>(grid)</span>
+<span id="cb1-3"><a href="#cb1-3" aria-hidden="true" tabindex="-1"></a></span>
+<span id="cb1-4"><a href="#cb1-4" aria-hidden="true" tabindex="-1"></a>x <span class="ot">&lt;-</span> (<span class="dv">0</span><span class="sc">:</span>(<span class="fu">ncol</span>(volcano) <span class="sc">-</span> <span class="dv">1</span>))<span class="sc">/</span>(<span class="fu">ncol</span>(volcano) <span class="sc">-</span> <span class="dv">1</span>)</span>
+<span id="cb1-5"><a href="#cb1-5" aria-hidden="true" tabindex="-1"></a>y <span class="ot">&lt;-</span> ((<span class="fu">nrow</span>(volcano) <span class="sc">-</span> <span class="dv">1</span>)<span class="sc">:</span><span class="dv">0</span>)<span class="sc">/</span>(<span class="fu">nrow</span>(volcano) <span class="sc">-</span> <span class="dv">1</span>)</span>
+<span id="cb1-6"><a href="#cb1-6" aria-hidden="true" tabindex="-1"></a>lines <span class="ot">&lt;-</span> <span class="fu">isolines</span>(x, y, volcano, <span class="dv">5</span><span class="sc">*</span>(<span class="dv">19</span><span class="sc">:</span><span class="dv">38</span>))</span>
+<span id="cb1-7"><a href="#cb1-7" aria-hidden="true" tabindex="-1"></a></span>
+<span id="cb1-8"><a href="#cb1-8" aria-hidden="true" tabindex="-1"></a>g <span class="ot">&lt;-</span> <span class="fu">isolines_grob</span>(</span>
+<span id="cb1-9"><a href="#cb1-9" aria-hidden="true" tabindex="-1"></a>  lines, <span class="at">breaks =</span> <span class="dv">20</span><span class="sc">*</span>(<span class="dv">5</span><span class="sc">:</span><span class="dv">10</span>),</span>
+<span id="cb1-10"><a href="#cb1-10" aria-hidden="true" tabindex="-1"></a>  <span class="at">gp =</span> <span class="fu">gpar</span>(</span>
+<span id="cb1-11"><a href="#cb1-11" aria-hidden="true" tabindex="-1"></a>    <span class="at">fontsize =</span> <span class="dv">10</span>,</span>
+<span id="cb1-12"><a href="#cb1-12" aria-hidden="true" tabindex="-1"></a>    <span class="at">lwd =</span> <span class="fu">c</span>(<span class="dv">1</span>, <span class="dv">2</span>, <span class="dv">1</span>, <span class="dv">1</span>),</span>
+<span id="cb1-13"><a href="#cb1-13" aria-hidden="true" tabindex="-1"></a>    <span class="at">col =</span> <span class="fu">c</span>(<span class="st">&quot;grey50&quot;</span>, <span class="st">&quot;grey20&quot;</span>, <span class="st">&quot;grey50&quot;</span>, <span class="st">&quot;grey50&quot;</span>)</span>
+<span id="cb1-14"><a href="#cb1-14" aria-hidden="true" tabindex="-1"></a>  )</span>
+<span id="cb1-15"><a href="#cb1-15" aria-hidden="true" tabindex="-1"></a>)</span>
+<span id="cb1-16"><a href="#cb1-16" aria-hidden="true" tabindex="-1"></a></span>
+<span id="cb1-17"><a href="#cb1-17" aria-hidden="true" tabindex="-1"></a><span class="fu">grid.newpage</span>()</span>
+<span id="cb1-18"><a href="#cb1-18" aria-hidden="true" tabindex="-1"></a><span class="fu">grid.draw</span>(g)</span></code></pre></div>
+<p><img 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" /><!-- --></p>
+<p>The function places labels at the isolines specified via the
+<code>breaks</code> argument, and it crops isolines around the labels so
+no lines run into the labels. It is possible to leave extra space around
+the labels using the <code>margin</code> argument.</p>
+<div class="sourceCode" id="cb2"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb2-1"><a href="#cb2-1" aria-hidden="true" tabindex="-1"></a>g <span class="ot">&lt;-</span> <span class="fu">isolines_grob</span>(</span>
+<span id="cb2-2"><a href="#cb2-2" aria-hidden="true" tabindex="-1"></a>  lines, <span class="at">breaks =</span> <span class="dv">20</span><span class="sc">*</span>(<span class="dv">5</span><span class="sc">:</span><span class="dv">10</span>),</span>
+<span id="cb2-3"><a href="#cb2-3" aria-hidden="true" tabindex="-1"></a>  <span class="at">margin =</span> <span class="fu">unit</span>(<span class="fu">c</span>(<span class="dv">3</span>, <span class="dv">5</span>, <span class="dv">3</span>, <span class="dv">5</span>), <span class="st">&quot;pt&quot;</span>), <span class="co"># margin specified as top, right, bottom, left</span></span>
+<span id="cb2-4"><a href="#cb2-4" aria-hidden="true" tabindex="-1"></a>  <span class="at">gp =</span> <span class="fu">gpar</span>(</span>
+<span id="cb2-5"><a href="#cb2-5" aria-hidden="true" tabindex="-1"></a>    <span class="at">fontsize =</span> <span class="dv">10</span>,</span>
+<span id="cb2-6"><a href="#cb2-6" aria-hidden="true" tabindex="-1"></a>    <span class="at">lwd =</span> <span class="fu">c</span>(<span class="dv">1</span>, <span class="dv">2</span>, <span class="dv">1</span>, <span class="dv">1</span>),</span>
+<span id="cb2-7"><a href="#cb2-7" aria-hidden="true" tabindex="-1"></a>    <span class="at">col =</span> <span class="fu">c</span>(<span class="st">&quot;grey50&quot;</span>, <span class="st">&quot;grey20&quot;</span>, <span class="st">&quot;grey50&quot;</span>, <span class="st">&quot;grey50&quot;</span>)</span>
+<span id="cb2-8"><a href="#cb2-8" aria-hidden="true" tabindex="-1"></a>  )</span>
+<span id="cb2-9"><a href="#cb2-9" aria-hidden="true" tabindex="-1"></a>)</span>
+<span id="cb2-10"><a href="#cb2-10" aria-hidden="true" tabindex="-1"></a></span>
+<span id="cb2-11"><a href="#cb2-11" aria-hidden="true" tabindex="-1"></a><span class="fu">grid.newpage</span>()</span>
+<span id="cb2-12"><a href="#cb2-12" aria-hidden="true" tabindex="-1"></a><span class="fu">grid.draw</span>(g)</span></code></pre></div>
+<p><img 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" /><!-- --></p>
+<p>Where the labels are drawn can be controlled via the
+<code>label_placer</code> argument. A few different label placement
+strategies are provided. The default,
+<code>label_placer_minmax()</code>, places labels at the maximum and
+minimum y value for each isoline. However, this label placer can be
+further customized. For example, labels can be placed at maximum and
+minimum x values and at a fixed rotation angle of 90 degrees.</p>
+<div class="sourceCode" id="cb3"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb3-1"><a href="#cb3-1" aria-hidden="true" tabindex="-1"></a>g <span class="ot">&lt;-</span> <span class="fu">isolines_grob</span>(</span>
+<span id="cb3-2"><a href="#cb3-2" aria-hidden="true" tabindex="-1"></a>  lines, <span class="at">breaks =</span> <span class="dv">20</span><span class="sc">*</span>(<span class="dv">5</span><span class="sc">:</span><span class="dv">10</span>),</span>
+<span id="cb3-3"><a href="#cb3-3" aria-hidden="true" tabindex="-1"></a>  <span class="at">gp =</span> <span class="fu">gpar</span>(</span>
+<span id="cb3-4"><a href="#cb3-4" aria-hidden="true" tabindex="-1"></a>    <span class="at">fontsize =</span> <span class="dv">10</span>,</span>
+<span id="cb3-5"><a href="#cb3-5" aria-hidden="true" tabindex="-1"></a>    <span class="at">lwd =</span> <span class="fu">c</span>(<span class="dv">1</span>, <span class="dv">2</span>, <span class="dv">1</span>, <span class="dv">1</span>),</span>
+<span id="cb3-6"><a href="#cb3-6" aria-hidden="true" tabindex="-1"></a>    <span class="at">col =</span> <span class="fu">c</span>(<span class="st">&quot;grey50&quot;</span>, <span class="st">&quot;grey20&quot;</span>, <span class="st">&quot;grey50&quot;</span>, <span class="st">&quot;grey50&quot;</span>)</span>
+<span id="cb3-7"><a href="#cb3-7" aria-hidden="true" tabindex="-1"></a>  ),</span>
+<span id="cb3-8"><a href="#cb3-8" aria-hidden="true" tabindex="-1"></a>  <span class="at">label_placer =</span> <span class="fu">label_placer_minmax</span>(</span>
+<span id="cb3-9"><a href="#cb3-9" aria-hidden="true" tabindex="-1"></a>    <span class="at">placement =</span> <span class="st">&quot;rl&quot;</span>, <span class="co"># place labels right and left, i.e., min and max x</span></span>
+<span id="cb3-10"><a href="#cb3-10" aria-hidden="true" tabindex="-1"></a>    <span class="at">rot_adjuster =</span> <span class="fu">angle_fixed</span>(pi<span class="sc">/</span><span class="dv">2</span>) <span class="co"># set fixed angle of 90 degrees</span></span>
+<span id="cb3-11"><a href="#cb3-11" aria-hidden="true" tabindex="-1"></a>  )</span>
+<span id="cb3-12"><a href="#cb3-12" aria-hidden="true" tabindex="-1"></a>)</span>
+<span id="cb3-13"><a href="#cb3-13" aria-hidden="true" tabindex="-1"></a></span>
+<span id="cb3-14"><a href="#cb3-14" aria-hidden="true" tabindex="-1"></a><span class="fu">grid.newpage</span>()</span>
+<span id="cb3-15"><a href="#cb3-15" aria-hidden="true" tabindex="-1"></a><span class="fu">grid.draw</span>(g)</span></code></pre></div>
+<p><img 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" /><!-- --></p>
+<p>The label placer <code>label_placer_none()</code> doesnâ€™t place any
+labels.</p>
+<div class="sourceCode" id="cb4"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb4-1"><a href="#cb4-1" aria-hidden="true" tabindex="-1"></a>g <span class="ot">&lt;-</span> <span class="fu">isolines_grob</span>(</span>
+<span id="cb4-2"><a href="#cb4-2" aria-hidden="true" tabindex="-1"></a>  lines, <span class="at">breaks =</span> <span class="dv">20</span><span class="sc">*</span>(<span class="dv">5</span><span class="sc">:</span><span class="dv">10</span>),</span>
+<span id="cb4-3"><a href="#cb4-3" aria-hidden="true" tabindex="-1"></a>  <span class="at">gp =</span> <span class="fu">gpar</span>(</span>
+<span id="cb4-4"><a href="#cb4-4" aria-hidden="true" tabindex="-1"></a>    <span class="at">lwd =</span> <span class="fu">c</span>(<span class="dv">1</span>, <span class="dv">2</span>, <span class="dv">1</span>, <span class="dv">1</span>),</span>
+<span id="cb4-5"><a href="#cb4-5" aria-hidden="true" tabindex="-1"></a>    <span class="at">col =</span> <span class="fu">c</span>(<span class="st">&quot;grey50&quot;</span>, <span class="st">&quot;grey20&quot;</span>, <span class="st">&quot;grey50&quot;</span>, <span class="st">&quot;grey50&quot;</span>)</span>
+<span id="cb4-6"><a href="#cb4-6" aria-hidden="true" tabindex="-1"></a>  ),</span>
+<span id="cb4-7"><a href="#cb4-7" aria-hidden="true" tabindex="-1"></a>  <span class="at">label_placer =</span> <span class="fu">label_placer_none</span>()</span>
+<span id="cb4-8"><a href="#cb4-8" aria-hidden="true" tabindex="-1"></a>)</span>
+<span id="cb4-9"><a href="#cb4-9" aria-hidden="true" tabindex="-1"></a></span>
+<span id="cb4-10"><a href="#cb4-10" aria-hidden="true" tabindex="-1"></a><span class="fu">grid.newpage</span>()</span>
+<span id="cb4-11"><a href="#cb4-11" aria-hidden="true" tabindex="-1"></a><span class="fu">grid.draw</span>(g)</span></code></pre></div>
+<p><img 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" /><!-- --></p>
+<p>We can also place labels entirely manually by using
+<code>label_placer_manual()</code>. This label placer takes as arguments
+the breaks that should be labeled and the corresponding coordinates and
+label angles. Breaks for which no coordinates are specified are ignored.
+If multiple coordinates are supplied for the same break then multiple
+labels are placed for that break.</p>
+<div class="sourceCode" id="cb5"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb5-1"><a href="#cb5-1" aria-hidden="true" tabindex="-1"></a>g <span class="ot">&lt;-</span> <span class="fu">isolines_grob</span>(</span>
+<span id="cb5-2"><a href="#cb5-2" aria-hidden="true" tabindex="-1"></a>  lines, <span class="at">breaks =</span> <span class="dv">20</span><span class="sc">*</span>(<span class="dv">5</span><span class="sc">:</span><span class="dv">10</span>),</span>
+<span id="cb5-3"><a href="#cb5-3" aria-hidden="true" tabindex="-1"></a>  <span class="at">gp =</span> <span class="fu">gpar</span>(</span>
+<span id="cb5-4"><a href="#cb5-4" aria-hidden="true" tabindex="-1"></a>    <span class="at">fontsize =</span> <span class="dv">12</span>,</span>
+<span id="cb5-5"><a href="#cb5-5" aria-hidden="true" tabindex="-1"></a>    <span class="at">lwd =</span> <span class="fu">c</span>(<span class="dv">1</span>, <span class="dv">2</span>, <span class="dv">1</span>, <span class="dv">1</span>),</span>
+<span id="cb5-6"><a href="#cb5-6" aria-hidden="true" tabindex="-1"></a>    <span class="at">col =</span> <span class="fu">c</span>(<span class="st">&quot;grey50&quot;</span>, <span class="st">&quot;grey20&quot;</span>, <span class="st">&quot;grey50&quot;</span>, <span class="st">&quot;grey50&quot;</span>)</span>
+<span id="cb5-7"><a href="#cb5-7" aria-hidden="true" tabindex="-1"></a>  ),</span>
+<span id="cb5-8"><a href="#cb5-8" aria-hidden="true" tabindex="-1"></a>  <span class="at">label_col =</span> <span class="st">&quot;red&quot;</span>,</span>
+<span id="cb5-9"><a href="#cb5-9" aria-hidden="true" tabindex="-1"></a>  <span class="at">label_placer =</span> <span class="fu">label_placer_manual</span>(</span>
+<span id="cb5-10"><a href="#cb5-10" aria-hidden="true" tabindex="-1"></a>    <span class="at">breaks =</span> <span class="fu">c</span>(<span class="st">&quot;120&quot;</span>, <span class="st">&quot;160&quot;</span>, <span class="st">&quot;160&quot;</span>),</span>
+<span id="cb5-11"><a href="#cb5-11" aria-hidden="true" tabindex="-1"></a>    <span class="at">x =</span> <span class="fu">c</span>(<span class="fl">0.15</span>, <span class="fl">0.5</span>, <span class="fl">0.6</span>),</span>
+<span id="cb5-12"><a href="#cb5-12" aria-hidden="true" tabindex="-1"></a>    <span class="at">y =</span> <span class="fu">c</span>(<span class="fl">0.19</span>, <span class="fl">0.51</span>, <span class="fl">0.87</span>),</span>
+<span id="cb5-13"><a href="#cb5-13" aria-hidden="true" tabindex="-1"></a>    <span class="at">theta =</span> <span class="dv">0</span></span>
+<span id="cb5-14"><a href="#cb5-14" aria-hidden="true" tabindex="-1"></a>  )</span>
+<span id="cb5-15"><a href="#cb5-15" aria-hidden="true" tabindex="-1"></a>)</span>
+<span id="cb5-16"><a href="#cb5-16" aria-hidden="true" tabindex="-1"></a></span>
+<span id="cb5-17"><a href="#cb5-17" aria-hidden="true" tabindex="-1"></a><span class="fu">grid.newpage</span>()</span>
+<span id="cb5-18"><a href="#cb5-18" aria-hidden="true" tabindex="-1"></a><span class="fu">grid.draw</span>(g)</span></code></pre></div>
+<p><img src="data:image/png;base64,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" /><!-- --></p>
+<p>Because isolines are cropped around the labels, the labeling strategy
+works even if the isolines are drawn on top of a colored background. For
+example, we could draw filled isobands using
+<code>isobands_grob()</code> and then draw labeled lines on top.</p>
+<div class="sourceCode" id="cb6"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb6-1"><a href="#cb6-1" aria-hidden="true" tabindex="-1"></a>viridis_pal <span class="ot">&lt;-</span> <span class="fu">colorRampPalette</span>(</span>
+<span id="cb6-2"><a href="#cb6-2" aria-hidden="true" tabindex="-1"></a>  <span class="fu">c</span>(<span class="st">&quot;#440154&quot;</span>, <span class="st">&quot;#414487&quot;</span>, <span class="st">&quot;#2A788E&quot;</span>, <span class="st">&quot;#22A884&quot;</span>, <span class="st">&quot;#7AD151&quot;</span>, <span class="st">&quot;#FDE725&quot;</span>),</span>
+<span id="cb6-3"><a href="#cb6-3" aria-hidden="true" tabindex="-1"></a>  <span class="at">space =</span> <span class="st">&quot;Lab&quot;</span></span>
+<span id="cb6-4"><a href="#cb6-4" aria-hidden="true" tabindex="-1"></a>)</span>
+<span id="cb6-5"><a href="#cb6-5" aria-hidden="true" tabindex="-1"></a></span>
+<span id="cb6-6"><a href="#cb6-6" aria-hidden="true" tabindex="-1"></a>bands <span class="ot">&lt;-</span> <span class="fu">isobands</span>(x, y, volcano, <span class="dv">5</span><span class="sc">*</span>(<span class="dv">18</span><span class="sc">:</span><span class="dv">38</span>), <span class="dv">5</span><span class="sc">*</span>(<span class="dv">19</span><span class="sc">:</span><span class="dv">39</span>))</span>
+<span id="cb6-7"><a href="#cb6-7" aria-hidden="true" tabindex="-1"></a></span>
+<span id="cb6-8"><a href="#cb6-8" aria-hidden="true" tabindex="-1"></a>b <span class="ot">&lt;-</span> <span class="fu">isobands_grob</span>(</span>
+<span id="cb6-9"><a href="#cb6-9" aria-hidden="true" tabindex="-1"></a>  bands,</span>
+<span id="cb6-10"><a href="#cb6-10" aria-hidden="true" tabindex="-1"></a>  <span class="at">gp =</span> <span class="fu">gpar</span>(<span class="at">col =</span> <span class="cn">NA</span>, <span class="at">fill =</span> <span class="fu">viridis_pal</span>(<span class="dv">21</span>), <span class="at">alpha =</span> <span class="fl">0.4</span>)</span>
+<span id="cb6-11"><a href="#cb6-11" aria-hidden="true" tabindex="-1"></a>)</span>
+<span id="cb6-12"><a href="#cb6-12" aria-hidden="true" tabindex="-1"></a>l <span class="ot">&lt;-</span> <span class="fu">isolines_grob</span>(</span>
+<span id="cb6-13"><a href="#cb6-13" aria-hidden="true" tabindex="-1"></a>  lines, <span class="at">breaks =</span> <span class="dv">20</span><span class="sc">*</span>(<span class="dv">5</span><span class="sc">:</span><span class="dv">10</span>),</span>
+<span id="cb6-14"><a href="#cb6-14" aria-hidden="true" tabindex="-1"></a>  <span class="at">gp =</span> <span class="fu">gpar</span>(</span>
+<span id="cb6-15"><a href="#cb6-15" aria-hidden="true" tabindex="-1"></a>    <span class="at">fontsize =</span> <span class="dv">10</span>,</span>
+<span id="cb6-16"><a href="#cb6-16" aria-hidden="true" tabindex="-1"></a>    <span class="at">lwd =</span> <span class="fu">c</span>(<span class="dv">1</span>, <span class="dv">2</span>, <span class="dv">1</span>, <span class="dv">1</span>),</span>
+<span id="cb6-17"><a href="#cb6-17" aria-hidden="true" tabindex="-1"></a>    <span class="at">col =</span> <span class="fu">c</span>(<span class="st">&quot;grey50&quot;</span>, <span class="st">&quot;grey20&quot;</span>, <span class="st">&quot;grey50&quot;</span>, <span class="st">&quot;grey50&quot;</span>)</span>
+<span id="cb6-18"><a href="#cb6-18" aria-hidden="true" tabindex="-1"></a>  )</span>
+<span id="cb6-19"><a href="#cb6-19" aria-hidden="true" tabindex="-1"></a>)</span>
+<span id="cb6-20"><a href="#cb6-20" aria-hidden="true" tabindex="-1"></a></span>
+<span id="cb6-21"><a href="#cb6-21" aria-hidden="true" tabindex="-1"></a><span class="fu">grid.newpage</span>()</span>
+<span id="cb6-22"><a href="#cb6-22" aria-hidden="true" tabindex="-1"></a><span class="fu">grid.draw</span>(b)</span>
+<span id="cb6-23"><a href="#cb6-23" aria-hidden="true" tabindex="-1"></a><span class="fu">grid.draw</span>(l)</span></code></pre></div>
+<p><img 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+<!DOCTYPE html>
+<html>
+<head><title>R: Vignettes and other documentation</title>
+<meta http-equiv="Content-Type" content="text/html; charset=utf-8" />
+<meta name="viewport" content="width=device-width, initial-scale=1.0, user-scalable=yes" />
+<link rel="stylesheet" type="text/css" href="/doc/html/R.css" />
+</head><body><div class="container">
+<h1> Vignettes and other documentation
+<img class="toplogo" src="/doc/html/Rlogo.svg" alt="[R logo]" />
+</h1>
+<hr/>
+<div style="text-align: center;">
+<a href="/doc/html/index.html"><img class="arrow" src="/doc/html/up.jpg" alt="[Top]" /></a>
+</div>
+<h2>Vignettes from package 'isoband'</h2>
+<table style="width: 100%;">
+<col style="width: 22%;" />
+<col style="width:  2%;" />
+<col style="width: 50%;" />
+<col style="width:  8%;" />
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+<col style="width:  8%;" />
+<tr><td style="text-align: right; vertical-align: top;"><a href="../../../library/isoband/doc/isoband1.html">isoband::isoband1</a></td>
+<td></td><td style="vertical-align: top;">Generating isolines and isobands</td>
+<td style="vertical-align: top;"><a href="../../../library/isoband/doc/isoband1.html">HTML</a></td>
+<td style="vertical-align: top;"><a href="../../../library/isoband/doc/isoband1.Rmd">source</a></td>
+<td style="vertical-align: top; white-space: nowrap"><a href="../../../library/isoband/doc/isoband1.R">R code</a></td></tr>
+<tr><td style="text-align: right; vertical-align: top;"><a href="../../../library/isoband/doc/isoband3.html">isoband::isoband3</a></td>
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+<td style="vertical-align: top;"><a href="../../../library/isoband/doc/isoband3.Rmd">source</a></td>
+<td style="vertical-align: top; white-space: nowrap"><a href="../../../library/isoband/doc/isoband3.R">R code</a></td></tr>
+</table>
+</div></body></html>

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Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/isoband/help/AnIndex
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/isoband/help/AnIndex	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/isoband/help/AnIndex	(revision 3761)
@@ -0,0 +1,18 @@
+isoband-package	isoband-package
+angle_fixed	angle_halfcircle_bottom
+angle_halfcircle_bottom	angle_halfcircle_bottom
+angle_halfcircle_right	angle_halfcircle_bottom
+angle_identity	angle_halfcircle_bottom
+clip_lines	clip_lines
+isoband	isoband-package
+isobands	isobands
+isobands_grob	isobands_grob
+isolines	isobands
+isolines_grob	isolines_grob
+iso_to_sfg	iso_to_sfg
+label_placer_manual	label_placer
+label_placer_middle	label_placer
+label_placer_minmax	label_placer
+label_placer_none	label_placer
+label_placer_simple	label_placer_simple
+plot_iso	plot_iso
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/isoband/help/paths.rds
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===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/isoband/R/isoband	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/isoband/R/isoband	(revision 3761)
@@ -0,0 +1,27 @@
+#  File share/R/nspackloader.R
+#  Part of the R package, https://www.R-project.org
+#
+#  Copyright (C) 1995-2012 The R Core Team
+#
+#  This program is free software; you can redistribute it and/or modify
+#  it under the terms of the GNU General Public License as published by
+#  the Free Software Foundation; either version 2 of the License, or
+#  (at your option) any later version.
+#
+#  This program is distributed in the hope that it will be useful,
+#  but WITHOUT ANY WARRANTY; without even the implied warranty of
+#  MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
+#  GNU General Public License for more details.
+#
+#  A copy of the GNU General Public License is available at
+#  https://www.r-project.org/Licenses/
+
+local({
+    info <- loadingNamespaceInfo()
+    pkg <- info$pkgname
+    ns <- .getNamespace(as.name(pkg))
+    if (is.null(ns))
+        stop("cannot find namespace environment for ", pkg, domain = NA);
+    dbbase <- file.path(info$libname, pkg, "R", pkg)
+    lazyLoad(dbbase, ns, filter = function(n) n != ".__NAMESPACE__.")
+})
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===================================================================
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Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/isoband/html/00Index.html
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/isoband/html/00Index.html	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/isoband/html/00Index.html	(revision 3761)
@@ -0,0 +1,56 @@
+<!DOCTYPE html>
+<html>
+<head><title>R: Generate Isolines and Isobands from Regularly Spaced Elevation
+Grids</title>
+<meta http-equiv="Content-Type" content="text/html; charset=utf-8" />
+<meta name="viewport" content="width=device-width, initial-scale=1.0, user-scalable=yes" />
+<link rel="stylesheet" type="text/css" href="R.css" />
+</head><body><div class="container">
+<h1> Generate Isolines and Isobands from Regularly Spaced Elevation
+Grids
+<img class="toplogo" src="../../../doc/html/Rlogo.svg" alt="[R logo]" />
+</h1>
+<hr/>
+<div style="text-align: center;">
+<a href="../../../doc/html/packages.html"><img class="arrow" src="../../../doc/html/left.jpg" alt="[Up]" /></a>
+<a href="../../../doc/html/index.html"><img class="arrow" src="../../../doc/html/up.jpg" alt="[Top]" /></a>
+</div><h2>Documentation for package &lsquo;isoband&rsquo; version 0.2.7</h2>
+
+<ul><li><a href="../DESCRIPTION">DESCRIPTION file</a>.</li>
+<li><a href="../doc/index.html">User guides, package vignettes and other documentation.</a></li>
+</ul>
+
+<h2>Help Pages</h2>
+
+
+<table style="width: 100%;">
+<tr><td style="width: 25%;"><a href="angle_halfcircle_bottom.html">angle_fixed</a></td>
+<td>Standardize label angles</td></tr>
+<tr><td style="width: 25%;"><a href="angle_halfcircle_bottom.html">angle_halfcircle_bottom</a></td>
+<td>Standardize label angles</td></tr>
+<tr><td style="width: 25%;"><a href="angle_halfcircle_bottom.html">angle_halfcircle_right</a></td>
+<td>Standardize label angles</td></tr>
+<tr><td style="width: 25%;"><a href="angle_halfcircle_bottom.html">angle_identity</a></td>
+<td>Standardize label angles</td></tr>
+<tr><td style="width: 25%;"><a href="isobands.html">isobands</a></td>
+<td>Efficient calculation of isolines and isobands from elevation grid</td></tr>
+<tr><td style="width: 25%;"><a href="isobands_grob.html">isobands_grob</a></td>
+<td>Render isobands</td></tr>
+<tr><td style="width: 25%;"><a href="isobands.html">isolines</a></td>
+<td>Efficient calculation of isolines and isobands from elevation grid</td></tr>
+<tr><td style="width: 25%;"><a href="isolines_grob.html">isolines_grob</a></td>
+<td>Render labeled isolines</td></tr>
+<tr><td style="width: 25%;"><a href="iso_to_sfg.html">iso_to_sfg</a></td>
+<td>Convert isolines or isobands to sfg object</td></tr>
+<tr><td style="width: 25%;"><a href="label_placer.html">label_placer_manual</a></td>
+<td>Set up a label placement strategy</td></tr>
+<tr><td style="width: 25%;"><a href="label_placer.html">label_placer_middle</a></td>
+<td>Set up a label placement strategy</td></tr>
+<tr><td style="width: 25%;"><a href="label_placer.html">label_placer_minmax</a></td>
+<td>Set up a label placement strategy</td></tr>
+<tr><td style="width: 25%;"><a href="label_placer.html">label_placer_none</a></td>
+<td>Set up a label placement strategy</td></tr>
+<tr><td style="width: 25%;"><a href="plot_iso.html">plot_iso</a></td>
+<td>Visualize a single isoband</td></tr>
+</table>
+</div></body></html>

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===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/isoband/html/R.css	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/isoband/html/R.css	(revision 3761)
@@ -0,0 +1,120 @@
+@media screen {
+    .container {
+	padding-right: 10px;
+	padding-left: 10px;
+	margin-right: auto;
+	margin-left: auto;
+	max-width: 900px;
+    }
+}
+
+.rimage img { /* from knitr - for examples and demos */
+    width: 96%;
+    margin-left: 2%;
+} 	
+
+.katex { font-size: 1.1em; }
+
+code {
+    color: inherit;
+    background: inherit;
+}
+
+body {
+    line-height: 1.4;
+    background: white;
+    color: black;
+}
+
+a:link {
+    background: white;
+    color: blue;
+}
+
+a:visited {
+    background: white;
+    color: rgb(50%, 0%, 50%);
+}
+
+h1 {
+    background: white;
+    color: rgb(55%, 55%, 55%);
+    font-family: monospace;
+    font-size: 1.4em; /* x-large; */
+    text-align: center;
+}
+
+h2 {
+    background: white;
+    color: rgb(40%, 40%, 40%);
+    font-family: monospace;
+    font-size: 1.2em; /* large; */
+    text-align: center;
+}
+
+h3 {
+    background: white;
+    color: rgb(40%, 40%, 40%);
+    font-family: monospace;
+    font-size: 1.2em; /* large; */
+}
+
+h4 {
+    background: white;
+    color: rgb(40%, 40%, 40%);
+    font-family: monospace;
+    font-style: italic;
+    font-size: 1.2em; /* large; */
+}
+
+h5 {
+    background: white;
+    color: rgb(40%, 40%, 40%);
+    font-family: monospace;
+}
+
+h6 {
+    background: white;
+    color: rgb(40%, 40%, 40%);
+    font-family: monospace;
+    font-style: italic;
+}
+
+img.toplogo {
+    width: 4em;
+    vertical-align: middle;
+}
+
+img.arrow {
+    width: 30px;
+    height: 30px;
+    border: 0;
+}
+
+span.acronym {
+    font-size: small;
+}
+
+span.env {
+    font-family: monospace;
+}
+
+span.file {
+    font-family: monospace;
+}
+
+span.option{
+    font-family: monospace;
+}
+
+span.pkg {
+    font-weight: bold;
+}
+
+span.samp{
+    font-family: monospace;
+}
+
+div.vignettes a:hover {
+    background: rgb(85%, 85%, 85%);
+}

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===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/jsonlite/help/AnIndex	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/jsonlite/help/AnIndex	(revision 3761)
@@ -0,0 +1,29 @@
+as_gzjson_b64	gzjson
+as_gzjson_raw	gzjson
+base64	base64
+base64url_dec	base64
+base64url_enc	base64
+base64_dec	base64
+base64_enc	base64
+flatten	flatten
+fromJSON	fromJSON
+gzjson	gzjson
+jsonlite	fromJSON
+minify	prettify
+parse_gzjson_b64	gzjson
+parse_gzjson_raw	gzjson
+parse_json	read_json
+prettify	prettify
+prettify, minify	prettify
+rbind_pages	rbind_pages
+read_json	read_json
+serializeJSON	serializeJSON
+stream_in	stream_in
+stream_in, stream_out	stream_in
+stream_out	stream_in
+toJSON	fromJSON
+toJSON, fromJSON	fromJSON
+unbox	unbox
+unserializeJSON	serializeJSON
+validate	validate
+write_json	read_json
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+#  File share/R/nspackloader.R
+#  Part of the R package, https://www.R-project.org
+#
+#  Copyright (C) 1995-2012 The R Core Team
+#
+#  This program is free software; you can redistribute it and/or modify
+#  it under the terms of the GNU General Public License as published by
+#  the Free Software Foundation; either version 2 of the License, or
+#  (at your option) any later version.
+#
+#  This program is distributed in the hope that it will be useful,
+#  but WITHOUT ANY WARRANTY; without even the implied warranty of
+#  MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
+#  GNU General Public License for more details.
+#
+#  A copy of the GNU General Public License is available at
+#  https://www.r-project.org/Licenses/
+
+local({
+    info <- loadingNamespaceInfo()
+    pkg <- info$pkgname
+    ns <- .getNamespace(as.name(pkg))
+    if (is.null(ns))
+        stop("cannot find namespace environment for ", pkg, domain = NA);
+    dbbase <- file.path(info$libname, pkg, "R", pkg)
+    lazyLoad(dbbase, ns, filter = function(n) n != ".__NAMESPACE__.")
+})
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+@media screen {
+    .container {
+	padding-right: 10px;
+	padding-left: 10px;
+	margin-right: auto;
+	margin-left: auto;
+	max-width: 900px;
+    }
+}
+
+.rimage img { /* from knitr - for examples and demos */
+    width: 96%;
+    margin-left: 2%;
+} 	
+
+.katex { font-size: 1.1em; }
+
+code {
+    color: inherit;
+    background: inherit;
+}
+
+body {
+    line-height: 1.4;
+    background: white;
+    color: black;
+}
+
+a:link {
+    background: white;
+    color: blue;
+}
+
+a:visited {
+    background: white;
+    color: rgb(50%, 0%, 50%);
+}
+
+h1 {
+    background: white;
+    color: rgb(55%, 55%, 55%);
+    font-family: monospace;
+    font-size: 1.4em; /* x-large; */
+    text-align: center;
+}
+
+h2 {
+    background: white;
+    color: rgb(40%, 40%, 40%);
+    font-family: monospace;
+    font-size: 1.2em; /* large; */
+    text-align: center;
+}
+
+h3 {
+    background: white;
+    color: rgb(40%, 40%, 40%);
+    font-family: monospace;
+    font-size: 1.2em; /* large; */
+}
+
+h4 {
+    background: white;
+    color: rgb(40%, 40%, 40%);
+    font-family: monospace;
+    font-style: italic;
+    font-size: 1.2em; /* large; */
+}
+
+h5 {
+    background: white;
+    color: rgb(40%, 40%, 40%);
+    font-family: monospace;
+}
+
+h6 {
+    background: white;
+    color: rgb(40%, 40%, 40%);
+    font-family: monospace;
+    font-style: italic;
+}
+
+img.toplogo {
+    width: 4em;
+    vertical-align: middle;
+}
+
+img.arrow {
+    width: 30px;
+    height: 30px;
+    border: 0;
+}
+
+span.acronym {
+    font-size: small;
+}
+
+span.env {
+    font-family: monospace;
+}
+
+span.file {
+    font-family: monospace;
+}
+
+span.option{
+    font-family: monospace;
+}
+
+span.pkg {
+    font-weight: bold;
+}
+
+span.samp{
+    font-family: monospace;
+}
+
+div.vignettes a:hover {
+    background: rgb(85%, 85%, 85%);
+}

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+<!DOCTYPE html>
+<html>
+<head><title>R: A Simple and Robust JSON Parser and Generator for R</title>
+<meta http-equiv="Content-Type" content="text/html; charset=utf-8" />
+<meta name="viewport" content="width=device-width, initial-scale=1.0, user-scalable=yes" />
+<link rel="stylesheet" type="text/css" href="R.css" />
+</head><body><div class="container">
+<h1> A Simple and Robust JSON Parser and Generator for R
+<img class="toplogo" src="../../../doc/html/Rlogo.svg" alt="[R logo]" />
+</h1>
+<hr/>
+<div style="text-align: center;">
+<a href="../../../doc/html/packages.html"><img class="arrow" src="../../../doc/html/left.jpg" alt="[Up]" /></a>
+<a href="../../../doc/html/index.html"><img class="arrow" src="../../../doc/html/up.jpg" alt="[Top]" /></a>
+</div><h2>Documentation for package &lsquo;jsonlite&rsquo; version 1.8.4</h2>
+
+<ul><li><a href="../DESCRIPTION">DESCRIPTION file</a>.</li>
+<li><a href="../doc/index.html">User guides, package vignettes and other documentation.</a></li>
+<li><a href="../NEWS">Package NEWS</a>.</li>
+</ul>
+
+<h2>Help Pages</h2>
+
+
+<table style="width: 100%;">
+<tr><td style="width: 25%;"><a href="gzjson.html">as_gzjson_b64</a></td>
+<td>Gzipped JSON</td></tr>
+<tr><td style="width: 25%;"><a href="gzjson.html">as_gzjson_raw</a></td>
+<td>Gzipped JSON</td></tr>
+<tr><td style="width: 25%;"><a href="base64.html">base64</a></td>
+<td>Encode/decode base64</td></tr>
+<tr><td style="width: 25%;"><a href="base64.html">base64url_dec</a></td>
+<td>Encode/decode base64</td></tr>
+<tr><td style="width: 25%;"><a href="base64.html">base64url_enc</a></td>
+<td>Encode/decode base64</td></tr>
+<tr><td style="width: 25%;"><a href="base64.html">base64_dec</a></td>
+<td>Encode/decode base64</td></tr>
+<tr><td style="width: 25%;"><a href="base64.html">base64_enc</a></td>
+<td>Encode/decode base64</td></tr>
+<tr><td style="width: 25%;"><a href="flatten.html">flatten</a></td>
+<td>Flatten nested data frames</td></tr>
+<tr><td style="width: 25%;"><a href="fromJSON.html">fromJSON</a></td>
+<td>Convert R objects to/from JSON</td></tr>
+<tr><td style="width: 25%;"><a href="gzjson.html">gzjson</a></td>
+<td>Gzipped JSON</td></tr>
+<tr><td style="width: 25%;"><a href="fromJSON.html">jsonlite</a></td>
+<td>Convert R objects to/from JSON</td></tr>
+<tr><td style="width: 25%;"><a href="prettify.html">minify</a></td>
+<td>Prettify or minify a JSON string</td></tr>
+<tr><td style="width: 25%;"><a href="gzjson.html">parse_gzjson_b64</a></td>
+<td>Gzipped JSON</td></tr>
+<tr><td style="width: 25%;"><a href="gzjson.html">parse_gzjson_raw</a></td>
+<td>Gzipped JSON</td></tr>
+<tr><td style="width: 25%;"><a href="read_json.html">parse_json</a></td>
+<td>Read/write JSON</td></tr>
+<tr><td style="width: 25%;"><a href="prettify.html">prettify</a></td>
+<td>Prettify or minify a JSON string</td></tr>
+<tr><td style="width: 25%;"><a href="prettify.html">prettify, minify</a></td>
+<td>Prettify or minify a JSON string</td></tr>
+<tr><td style="width: 25%;"><a href="rbind_pages.html">rbind_pages</a></td>
+<td>Combine pages into a single data frame</td></tr>
+<tr><td style="width: 25%;"><a href="read_json.html">read_json</a></td>
+<td>Read/write JSON</td></tr>
+<tr><td style="width: 25%;"><a href="serializeJSON.html">serializeJSON</a></td>
+<td>serialize R objects to JSON</td></tr>
+<tr><td style="width: 25%;"><a href="stream_in.html">stream_in</a></td>
+<td>Streaming JSON input/output</td></tr>
+<tr><td style="width: 25%;"><a href="stream_in.html">stream_in, stream_out</a></td>
+<td>Streaming JSON input/output</td></tr>
+<tr><td style="width: 25%;"><a href="stream_in.html">stream_out</a></td>
+<td>Streaming JSON input/output</td></tr>
+<tr><td style="width: 25%;"><a href="fromJSON.html">toJSON</a></td>
+<td>Convert R objects to/from JSON</td></tr>
+<tr><td style="width: 25%;"><a href="fromJSON.html">toJSON, fromJSON</a></td>
+<td>Convert R objects to/from JSON</td></tr>
+<tr><td style="width: 25%;"><a href="unbox.html">unbox</a></td>
+<td>Unbox a vector or data frame</td></tr>
+<tr><td style="width: 25%;"><a href="serializeJSON.html">unserializeJSON</a></td>
+<td>serialize R objects to JSON</td></tr>
+<tr><td style="width: 25%;"><a href="validate.html">validate</a></td>
+<td>Validate JSON</td></tr>
+<tr><td style="width: 25%;"><a href="read_json.html">write_json</a></td>
+<td>Read/write JSON</td></tr>
+</table>
+</div></body></html>

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+<!DOCTYPE html>
+<html>
+<head><title>R: Vignettes and other documentation</title>
+<meta http-equiv="Content-Type" content="text/html; charset=utf-8" />
+<meta name="viewport" content="width=device-width, initial-scale=1.0, user-scalable=yes" />
+<link rel="stylesheet" type="text/css" href="/doc/html/R.css" />
+</head><body><div class="container">
+<h1> Vignettes and other documentation
+<img class="toplogo" src="/doc/html/Rlogo.svg" alt="[R logo]" />
+</h1>
+<hr/>
+<div style="text-align: center;">
+<a href="/doc/html/index.html"><img class="arrow" src="/doc/html/up.jpg" alt="[Top]" /></a>
+</div>
+<h2>Vignettes from package 'jsonlite'</h2>
+<table style="width: 100%;">
+<col style="width: 22%;" />
+<col style="width:  2%;" />
+<col style="width: 50%;" />
+<col style="width:  8%;" />
+<col style="width:  8%;" />
+<col style="width:  8%;" />
+<tr><td style="text-align: right; vertical-align: top;"><a href="../../../library/jsonlite/doc/json-aaquickstart.html">jsonlite::json-aaquickstart</a></td>
+<td></td><td style="vertical-align: top;">Getting started with JSON and jsonlite</td>
+<td style="vertical-align: top;"><a href="../../../library/jsonlite/doc/json-aaquickstart.html">HTML</a></td>
+<td style="vertical-align: top;"><a href="../../../library/jsonlite/doc/json-aaquickstart.Rmd">source</a></td>
+<td style="vertical-align: top; white-space: nowrap"><a href="../../../library/jsonlite/doc/json-aaquickstart.R">R code</a></td></tr>
+<tr><td style="text-align: right; vertical-align: top;"><a href="../../../library/jsonlite/doc/json-apis.html">jsonlite::json-apis</a></td>
+<td></td><td style="vertical-align: top;">Fetching JSON data from REST APIs</td>
+<td style="vertical-align: top;"><a href="../../../library/jsonlite/doc/json-apis.html">HTML</a></td>
+<td style="vertical-align: top;"><a href="../../../library/jsonlite/doc/json-apis.Rmd">source</a></td>
+<td style="vertical-align: top; white-space: nowrap"></td></tr>
+<tr><td style="text-align: right; vertical-align: top;"><a href="../../../library/jsonlite/doc/json-paging.html">jsonlite::json-paging</a></td>
+<td></td><td style="vertical-align: top;">Combining pages of JSON data with jsonlite</td>
+<td style="vertical-align: top;"><a href="../../../library/jsonlite/doc/json-paging.html">HTML</a></td>
+<td style="vertical-align: top;"><a href="../../../library/jsonlite/doc/json-paging.Rmd">source</a></td>
+<td style="vertical-align: top; white-space: nowrap"></td></tr>
+<tr><td style="text-align: right; vertical-align: top;"><a href="../../../library/jsonlite/doc/json-mapping.pdf">jsonlite::json-mapping</a></td>
+<td></td><td style="vertical-align: top;">A mapping between JSON data and R objects</td>
+<td style="vertical-align: top;"><a href="../../../library/jsonlite/doc/json-mapping.pdf">PDF</a></td>
+<td style="vertical-align: top;"><a href="../../../library/jsonlite/doc/json-mapping.pdf.asis">source</a></td>
+<td style="vertical-align: top; white-space: nowrap"></td></tr>
+<tr><td style="text-align: right; vertical-align: top;"><a href="../../../library/jsonlite/doc/json-opencpu.pdf">jsonlite::json-opencpu</a></td>
+<td></td><td style="vertical-align: top;">Simple JSON RPC with OpenCPU</td>
+<td style="vertical-align: top;"><a href="../../../library/jsonlite/doc/json-opencpu.pdf">PDF</a></td>
+<td style="vertical-align: top;"><a href="../../../library/jsonlite/doc/json-opencpu.pdf.asis">source</a></td>
+<td style="vertical-align: top; white-space: nowrap"></td></tr>
+</table>
+</div></body></html>

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--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/jsonlite/doc/json-paging.Rmd	(revision 0)
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+---
+title: "Combining pages of JSON data with jsonlite"
+date: "2022-01-16"
+output:
+  html_document
+vignette: >
+  %\VignetteIndexEntry{Combining pages of JSON data with jsonlite}
+  %\VignetteEngine{knitr::rmarkdown}
+  \usepackage[utf8]{inputenc}
+---
+
+
+
+
+
+
+The [jsonlite](https://cran.r-project.org/package=jsonlite) package is a `JSON` parser/generator for R which is optimized for pipelines and web APIs. It is used by the OpenCPU system and many other packages to get data in and out of R using the `JSON` format.
+
+## A bidirectional mapping
+
+One of the main strengths of `jsonlite` is that it implements a bidirectional [mapping](https://arxiv.org/abs/1403.2805) between JSON and data frames. Thereby it can convert nested collections of JSON records, as they often appear on the web, immediately into the appropriate R structure. For example to grab some data from ProPublica we can simply use:
+
+
+```r
+library(jsonlite)
+mydata <- fromJSON("https://projects.propublica.org/forensics/geos.json", flatten = TRUE)
+View(mydata)
+```
+
+The `mydata` object is a data frame which can be used directly for modeling or visualization, without the need for any further complicated data manipulation.
+
+## Paging with jsonlite
+
+A question that comes up frequently is how to combine pages of data. Most web APIs limit the amount of data that can be retrieved per request. If the client needs more data than what can fits in a single request, it needs to break down the data into multiple requests that each retrieve a fragment (page) of data, not unlike pages in a book. In practice this is often implemented using a `page` parameter in the API. Below an example from the [ProPublica Nonprofit Explorer API](https://projects.propublica.org/nonprofits/api) where we retrieve the first 3 pages of tax-exempt organizations in the USA, ordered by revenue:
+
+
+```r
+baseurl <- "https://projects.propublica.org/nonprofits/api/v2/search.json?order=revenue&sort_order=desc"
+mydata0 <- fromJSON(paste0(baseurl, "&page=0"), flatten = TRUE)
+mydata1 <- fromJSON(paste0(baseurl, "&page=1"), flatten = TRUE)
+mydata2 <- fromJSON(paste0(baseurl, "&page=2"), flatten = TRUE)
+
+#The actual data is in the organizations element
+mydata0$organizations[1:10, c("name", "city", "strein")]
+```
+
+```
+                            name        city     strein
+1           0 DEBT EDUCATION INC  SANTA ROSA 46-4744976
+2                0 TOLERANCE INC     SUWANEE 27-2620044
+3                00 MOVEMENT INC   PENSACOLA 82-4704419
+4                    00006 LOCAL       MEDIA 22-6062777
+5             0003 POSTAL FAMILY  CINCINNATI 31-0240910
+6                        0005 GA   HEPHZIBAH 58-1514574
+7  0005 WRIGHT-PATT CREDIT UNION BEAVERCREEK 31-0278870
+8                        0009 DE   GREENWOOD 26-4507405
+9                0011 CALIFORNIA      REDWAY 36-4654777
+10                   00141 LOCAL       MEDIA 94-0507697
+```
+
+To analyze or visualize these data, we need to combine the pages into a single dataset. We can do this with the `rbind_pages` function. Note that in this example, the actual data is contained by the `organizations` field:
+
+
+```r
+#Rows per data frame
+nrow(mydata0$organizations)
+```
+
+```
+[1] 100
+```
+
+```r
+#Combine data frames
+organizations <- rbind_pages(
+  list(mydata0$organizations, mydata1$organizations, mydata2$organizations)
+)
+
+#Total number of rows
+nrow(organizations)
+```
+
+```
+[1] 300
+```
+
+## Automatically combining many pages
+
+We can write a simple loop that automatically downloads and combines many pages. For example to retrieve the first 20 pages with non-profits from the example above:
+
+
+```r
+#store all pages in a list first
+baseurl <- "https://projects.propublica.org/nonprofits/api/v2/search.json?order=revenue&sort_order=desc"
+pages <- list()
+for(i in 0:20){
+  mydata <- fromJSON(paste0(baseurl, "&page=", i))
+  message("Retrieving page ", i)
+  pages[[i+1]] <- mydata$organizations
+}
+
+#combine all into one
+organizations <- rbind_pages(pages)
+
+#check output
+nrow(organizations)
+```
+
+```
+[1] 2100
+```
+
+```r
+colnames(organizations)
+```
+
+```
+ [1] "ein"           "strein"        "name"          "sub_name"      "city"          "state"         "ntee_code"     "raw_ntee_code"
+ [9] "subseccd"      "has_subseccd"  "have_filings"  "have_extracts" "have_pdfs"     "score"        
+```
+
+From here, we can go straight to analyzing the organizations data without any further tedious data manipulation.
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+<!DOCTYPE html>
+
+<html>
+
+<head>
+
+<meta charset="utf-8" />
+<meta name="generator" content="pandoc" />
+<meta http-equiv="X-UA-Compatible" content="IE=EDGE" />
+
+
+
+<meta name="date" content="2022-01-16" />
+
+<title>Combining pages of JSON data with jsonlite</title>
+
+<script>// Pandoc 2.9 adds attributes on both header and div. We remove the former (to
+// be compatible with the behavior of Pandoc < 2.8).
+document.addEventListener('DOMContentLoaded', function(e) {
+  var hs = document.querySelectorAll("div.section[class*='level'] > :first-child");
+  var i, h, a;
+  for (i = 0; i < hs.length; i++) {
+    h = hs[i];
+    if (!/^h[1-6]$/i.test(h.tagName)) continue;  // it should be a header h1-h6
+    a = h.attributes;
+    while (a.length > 0) h.removeAttribute(a[0].name);
+  }
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) 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Cv3aCgUIAQgIFID+lAgKCggBbAgIpAgIpAgAAAAD//D/8AS6BLoACQANABAAAAAyHwEWFA8BJzcTAScJAQUTA+AmDpkNDWPWXyL9mdYCZv4f/rNuBLoNmQ4mDlzWYP50/ZrWAmb8anABTwAAAAEAAAAABLAEsAAPAAABETMyFh0BITU0NjsBEQEhArz6FR384B0V+v4MBLACiv3aHRUyMhUdAiYCJgAAAAEADgAIBEwEnAAfAAABJTYWFREUBgcGLgE2NzYXEQURFAYHBi4BNjc2FxE0NgFwAoUnMFNGT4gkV09IQv2oWEFPiCRXT0hCHQP5ow8eIvzBN1EXGSltchkYEAIJm/2iKmAVGilucRoYEQJ/JioAAAACAAn/+AS7BKcAHQApAAAAMh4CFQcXFAcBFgYPAQYiJwEGIycHIi4CND4BBCIOARQeATI+ATQmAZDItoNOAQFOARMXARY7GikT/u13jgUCZLaDTk6DAXKwlFZWlLCUVlYEp06DtmQCBY15/u4aJRg6FBQBEk0BAU6Dtsi2g1tWlLCUVlaUsJQAAQBkAFgErwREABkAAAE+Ah4CFRQOAwcuBDU0PgIeAQKJMHt4dVg2Q3mEqD4+p4V4Qzhadnh5A7VESAUtU3ZAOXmAf7JVVbJ/gHk5QHZTLQVIAAAAAf/TAF4EewSUABgAAAETNjIXEyEyFgcFExYGJyUFBiY3EyUmNjMBl4MHFQeBAaUVBhH+qoIHDxH+qf6qEQ8Hgv6lEQYUAyABYRMT/p8RDPn+bxQLDPb3DAsUAZD7DBEAAv/TAF4EewSUABgAIgAAARM2MhcTITIWBwUTFgYnJQUGJjcTJSY2MwUjFwc3Fyc3IycBl4MHFQeBAaUVBhH+qoIHDxH+qf6qEQ8Hgv6lEQYUAfPwxUrBw0rA6k4DIAFhExP+nxEM+f5vFAsM9vcMCxQBkPsMEWSO4ouM5YzTAAABAAAAAASwBLAAJgAAATIWHQEUBiMVFBYXBR4BHQEUBiMhIiY9ATQ2NyU+AT0BIiY9ATQ2Alh8sD4mDAkBZgkMDwr7ggoPDAkBZgkMJj6wBLCwfPouaEsKFwbmBRcKXQoPDwpdChcF5gYXCktoLvp8sAAAAA0AAAAABLAETAAPABMAIwAnACsALwAzADcARwBLAE8AUwBXAAATITIWFREUBiMhIiY1ETQ2FxUzNSkBIgYVERQWMyEyNjURNCYzFTM1BRUzNSEVMzUFFTM1IRUzNQchIgYVERQWMyEyNjURNCYFFTM1IRUzNQUVMzUhFTM1GQR+Cg8PCvuCCg8PVWQCo/3aCg8PCgImCg8Pc2T8GGQDIGT8GGQDIGTh/doKDw8KAiYKDw/872QDIGT8GGQDIGQETA8K++YKDw8KBBoKD2RkZA8K/qIKDw8KAV4KD2RkyGRkZGTIZGRkZGQPCv6iCg8PCgFeCg9kZGRkZMhkZGRkAAAEAAAAAARMBEwADwAfAC8APwAAEyEyFhURFAYjISImNRE0NikBMhYVERQGIyEiJjURNDYBITIWFREUBiMhIiY1ETQ2KQEyFhURFAYjISImNRE0NjIBkBUdHRX+cBUdHQJtAZAVHR0V/nAVHR39vQGQFR0dFf5wFR0dAm0BkBUdHRX+cBUdHQRMHRX+cBUdHRUBkBUdHRX+cBUdHRUBkBUd/agdFf5wFR0dFQGQFR0dFf5wFR0dFQGQFR0AAAkAAAAABEwETAAPAB8ALwA/AE8AXwBvAH8AjwAAEzMyFh0BFAYrASImPQE0NiEzMhYdARQGKwEiJj0BNDYhMzIWHQEUBisBIiY9ATQ2ATMyFh0BFAYrASImPQE0NiEzMhYdARQGKwEiJj0BNDYhMzIWHQEUBisBIiY9ATQ2ATMyFh0BFAYrASImPQE0NiEzMhYdARQGKwEiJj0BNDYhMzIWHQEUBisBIiY9ATQ2MsgVHR0VyBUdHQGlyBUdHRXIFR0dAaXIFR0dFcgVHR389cgVHR0VyBUdHQGlyBUdHRXIFR0dAaXIFR0dFcgVHR389cgVHR0VyBUdHQGlyBUdHRXIFR0dAaXIFR0dFcgVHR0ETB0VyBUdHRXIFR0dFcgVHR0VyBUdHRXIFR0dFcgVHf5wHRXIFR0dFcgVHR0VyBUdHRXIFR0dFcgVHR0VyBUd/nAdFcgVHR0VyBUdHRXIFR0dFcgVHR0VyBUdHRXIFR0ABgAAAAAEsARMAA8AHwAvAD8ATwBfAAATMzIWHQEUBisBIiY9ATQ2KQEyFh0BFAYjISImPQE0NgEzMhYdARQGKwEiJj0BNDYpATIWHQEUBiMhIiY9ATQ2ATMyFh0BFAYrASImPQE0NikBMhYdARQGIyEiJj0BNDYyyBUdHRXIFR0dAaUCvBUdHRX9RBUdHf6FyBUdHRXIFR0dAaUCvBUdHRX9RBUdHf6FyBUdHRXIFR0dAaUCvBUdHRX9RBUdHQRMHRXIFR0dFcgVHR0VyBUdHRXIFR3+cB0VyBUdHRXIFR0dFcgVHR0VyBUd/nAdFcgVHR0VyBUdHRXIFR0dFcgVHQAAAAABACYALAToBCAAFwAACQE2Mh8BFhQHAQYiJwEmND8BNjIfARYyAdECOwgUB7EICPzxBxUH/oAICLEHFAirBxYB3QI7CAixBxQI/PAICAGACBQHsQgIqwcAAQBuAG4EQgRCACMAAAEXFhQHCQEWFA8BBiInCQEGIi8BJjQ3CQEmND8BNjIXCQE2MgOIsggI/vUBCwgIsggVB/70/vQHFQiyCAgBC/71CAiyCBUHAQwBDAcVBDuzCBUH/vT+9AcVCLIICAEL/vUICLIIFQcBDAEMBxUIsggI/vUBDAcAAwAX/+sExQSZABkAJQBJAAAAMh4CFRQHARYUDwEGIicBBiMiLgI0PgEEIg4BFB4BMj4BNCYFMzIWHQEzMhYdARQGKwEVFAYrASImPQEjIiY9ATQ2OwE1NDYBmcSzgk1OASwICG0HFQj+1HeOYrSBTU2BAW+zmFhYmLOZWFj+vJYKD0sKDw8KSw8KlgoPSwoPDwpLDwSZTYKzYo15/tUIFQhsCAgBK01NgbTEs4JNWJmzmFhYmLOZIw8KSw8KlgoPSwoPDwpLDwqWCg9LCg8AAAMAF//rBMUEmQAZACUANQAAADIeAhUUBwEWFA8BBiInAQYjIi4CND4BBCIOARQeATI+ATQmBSEyFh0BFAYjISImPQE0NgGZxLOCTU4BLAgIbQcVCP7Ud45itIFNTYEBb7OYWFiYs5lYWP5YAV4KDw8K/qIKDw8EmU2Cs2KNef7VCBUIbAgIAStNTYG0xLOCTViZs5hYWJizmYcPCpYKDw8KlgoPAAAAAAIAFwAXBJkEsAAPAC0AAAEzMhYVERQGKwEiJjURNDYFNRYSFRQOAiIuAjU0EjcVDgEVFB4BMj4BNTQmAiZkFR0dFWQVHR0BD6fSW5vW6tabW9KnZ3xyxejFcnwEsB0V/nAVHR0VAZAVHeGmPv7ZuHXWm1tbm9Z1uAEnPqY3yHh0xXJyxXR4yAAEAGQAAASwBLAADwAfAC8APwAAATMyFhURFAYrASImNRE0NgEzMhYVERQGKwEiJjURNDYBMzIWFREUBisBIiY1ETQ2BTMyFh0BFAYrASImPQE0NgQBlgoPDwqWCg8P/t6WCg8PCpYKDw/+3pYKDw8KlgoPD/7elgoPDwqWCg8PBLAPCvuCCg8PCgR+Cg/+cA8K/RIKDw8KAu4KD/7UDwr+PgoPDwoBwgoPyA8K+goPDwr6Cg8AAAAAAgAaABsElgSWAEcATwAAATIfAhYfATcWFwcXFh8CFhUUDwIGDwEXBgcnBwYPAgYjIi8CJi8BByYnNycmLwImNTQ/AjY/ASc2Nxc3Nj8CNhIiBhQWMjY0AlghKSYFMS0Fhj0rUAMZDgGYBQWYAQ8YA1AwOIYFLDIFJisfISkmBTEtBYY8LFADGQ0ClwYGlwINGQNQLzqFBS0xBSYreLJ+frJ+BJYFmAEOGQJQMDmGBSwxBiYrHiIoJgYxLAWGPSxRAxkOApcFBZcCDhkDUTA5hgUtMAYmKiAhKCYGMC0Fhj0sUAIZDgGYBf6ZfrF+frEABwBkAAAEsAUUABMAFwAhACUAKQAtADEAAAEhMhYdASEyFh0BITU0NjMhNTQ2FxUhNQERFAYjISImNREXETMRMxEzETMRMxEzETMRAfQBLCk7ARMKD/u0DwoBEzspASwBLDsp/UQpO2RkZGRkZGRkBRQ7KWQPCktLCg9kKTtkZGT+1PzgKTs7KQMgZP1EArz9RAK8/UQCvP1EArwAAQAMAAAFCATRAB8AABMBNjIXARYGKwERFAYrASImNREhERQGKwEiJjURIyImEgJsCBUHAmAIBQqvDwr6Cg/+1A8K+goPrwoFAmoCYAcH/aAICv3BCg8PCgF3/okKDw8KAj8KAAIAZAAAA+gEsAARABcAAAERFBYzIREUBiMhIiY1ETQ2MwEjIiY9AQJYOykBLB0V/OAVHR0VA1L6FR0EsP5wKTv9dhUdHRUETBUd/nAdFfoAAwAXABcEmQSZAA8AGwAwAAAAMh4CFA4CIi4CND4BBCIOARQeATI+ATQmBTMyFhURMzIWHQEUBisBIiY1ETQ2AePq1ptbW5vW6tabW1ubAb/oxXJyxejFcnL+fDIKD68KDw8K+goPDwSZW5vW6tabW1ub1urWmztyxejFcnLF6MUNDwr+7Q8KMgoPDwoBXgoPAAAAAAL/nAAABRQEsAALAA8AACkBAyMDIQEzAzMDMwEDMwMFFP3mKfIp/eYBr9EVohTQ/p4b4BsBkP5wBLD+1AEs/nD+1AEsAAAAAAIAZAAABLAEsAAVAC8AAAEzMhYVETMyFgcBBiInASY2OwERNDYBMzIWFREUBiMhIiY1ETQ2OwEyFh0BITU0NgImyBUdvxQLDf65DSYN/rkNCxS/HQJUMgoPDwr75goPDwoyCg8DhA8EsB0V/j4XEP5wEBABkBAXAcIVHfzgDwr+ogoPDwoBXgoPDwqvrwoPAAMAFwAXBJkEmQAPABsAMQAAADIeAhQOAiIuAjQ+AQQiDgEUHgEyPgE0JgUzMhYVETMyFgcDBiInAyY2OwERNDYB4+rWm1tbm9bq1ptbW5sBv+jFcnLF6MVycv58lgoPiRUKDd8NJg3fDQoViQ8EmVub1urWm1tbm9bq1ps7csXoxXJyxejFDQ8K/u0XEP7tEBABExAXARMKDwAAAAMAFwAXBJkEmQAPABsAMQAAADIeAhQOAiIuAjQ+AQQiDgEUHgEyPgE0JiUTFgYrAREUBisBIiY1ESMiJjcTNjIB4+rWm1tbm9bq1ptbW5sBv+jFcnLF6MVycv7n3w0KFYkPCpYKD4kVCg3fDSYEmVub1urWm1tbm9bq1ps7csXoxXJyxejFAf7tEBf+7QoPDwoBExcQARMQAAAAAAIAAAAABLAEsAAZADkAABMhMhYXExYVERQGBwYjISImJyY1EzQ3Ez4BBSEiBgcDBhY7ATIWHwEeATsBMjY/AT4BOwEyNicDLgHhAu4KEwO6BwgFDBn7tAweAgYBB7kDEwKX/dQKEgJXAgwKlgoTAiYCEwr6ChMCJgITCpYKDAJXAhIEsA4K/XQYGf5XDB4CBggEDRkBqRkYAowKDsgOC/4+Cw4OCpgKDg4KmAoODgsBwgsOAAMAFwAXBJkEmQAPABsAJwAAADIeAhQOAiIuAjQ+AQQiDgEUHgEyPgE0JgUXFhQPAQYmNRE0NgHj6tabW1ub1urWm1tbmwG/6MVycsXoxXJy/ov9ERH9EBgYBJlbm9bq1ptbW5vW6tabO3LF6MVycsXoxV2+DCQMvgwLFQGQFQsAAQAXABcEmQSwACgAAAE3NhYVERQGIyEiJj8BJiMiDgEUHgEyPgE1MxQOAiIuAjQ+AjMyA7OHBwsPCv6WCwQHhW2BdMVycsXoxXKWW5vW6tabW1ub1nXABCSHBwQL/pYKDwsHhUxyxejFcnLFdHXWm1tbm9bq1ptbAAAAAAIAFwABBJkEsAAaADUAAAE3NhYVERQGIyEiJj8BJiMiDgEVIzQ+AjMyEzMUDgIjIicHBiY1ETQ2MyEyFg8BFjMyPgEDs4cHCw8L/pcLBAeGboF0xXKWW5vWdcDrllub1nXAnIYHCw8LAWgKBQiFboJ0xXIEJIcHBAv+lwsPCweGS3LFdHXWm1v9v3XWm1t2hggFCgFoCw8LB4VMcsUAAAAKAGQAAASwBLAADwAfAC8APwBPAF8AbwB/AI8AnwAAEyEyFhURFAYjISImNRE0NgUhIgYVERQWMyEyNjURNCYFMzIWHQEUBisBIiY9ATQ2MyEyFh0BFAYjISImPQE0NgczMhYdARQGKwEiJj0BNDYzITIWHQEUBiMhIiY9ATQ2BzMyFh0BFAYrASImPQE0NjMhMhYdARQGIyEiJj0BNDYHMzIWHQEUBisBIiY9ATQ2MyEyFh0BFAYjISImPQE0Nn0EGgoPDwr75goPDwPA/K4KDw8KA1IKDw/9CDIKDw8KMgoPD9IBwgoPDwr+PgoPD74yCg8PCjIKDw/SAcIKDw8K/j4KDw++MgoPDwoyCg8P0gHCCg8PCv4+Cg8PvjIKDw8KMgoPD9IBwgoPDwr+PgoPDwSwDwr7ggoPDwoEfgoPyA8K/K4KDw8KA1IKD2QPCjIKDw8KMgoPDwoyCg8PCjIKD8gPCjIKDw8KMgoPDwoyCg8PCjIKD8gPCjIKDw8KMgoPDwoyCg8PCjIKD8gPCjIKDw8KMgoPDwoyCg8PCjIKDwAAAAACAAAAAARMBLAAGQAjAAABNTQmIyEiBh0BIyIGFREUFjMhMjY1ETQmIyE1NDY7ATIWHQEDhHVT/tRSdmQpOzspA4QpOzsp/ageFMgUHgMgyFN1dlLIOyn9qCk7OykCWCk7lhUdHRWWAAIAZAAABEwETAAJADcAABMzMhYVESMRNDYFMhcWFREUBw4DIyIuAScuAiMiBwYjIicmNRE+ATc2HgMXHgIzMjc2fTIKD2QPA8AEBRADIUNAMRwaPyonKSxHHlVLBwgGBQ4WeDsXKC4TOQQpLUUdZ1AHBEwPCvvNBDMKDzACBhH+WwYGO1AkDQ0ODg8PDzkFAwcPAbY3VwMCAwsGFAEODg5XCAAAAwAAAAAEsASXACEAMQBBAAAAMh4CFREUBisBIiY1ETQuASAOARURFAYrASImNRE0PgEDMzIWFREUBisBIiY1ETQ2ITMyFhURFAYrASImNRE0NgHk6N6jYw8KMgoPjeT++uSNDwoyCg9joyqgCAwMCKAIDAwCYKAIDAwIoAgMDASXY6PedP7UCg8PCgEsf9FyctF//tQKDw8KASx03qP9wAwI/jQIDAwIAcwIDAwI/jQIDAwIAcwIDAAAAAACAAAA0wRHA90AFQA5AAABJTYWFREUBiclJisBIiY1ETQ2OwEyBTc2Mh8BFhQPARcWFA8BBiIvAQcGIi8BJjQ/AScmND8BNjIXAUEBAgkMDAn+/hUZ+goPDwr6GQJYeAcUByIHB3h4BwciBxQHeHgHFAciBwd3dwcHIgcUBwMurAYHCv0SCgcGrA4PCgFeCg+EeAcHIgcUB3h4BxQHIgcHd3cHByIHFAd4eAcUByIICAAAAAACAAAA0wNyA90AFQAvAAABJTYWFREUBiclJisBIiY1ETQ2OwEyJTMWFxYVFAcGDwEiLwEuATc2NTQnJjY/ATYBQQECCQwMCf7+FRn6Cg8PCvoZAdIECgZgWgYLAwkHHQcDBkhOBgMIHQcDLqwGBwr9EgoHBqwODwoBXgoPZAEJgaGafwkBAQYXBxMIZ36EaggUBxYFAAAAAAMAAADEBGID7AAbADEASwAAATMWFxYVFAYHBgcjIi8BLgE3NjU0JicmNj8BNgUlNhYVERQGJyUmKwEiJjURNDY7ATIlMxYXFhUUBwYPASIvAS4BNzY1NCcmNj8BNgPHAwsGh0RABwoDCQcqCAIGbzs3BgIJKgf9ggECCQwMCf7+FRn6Cg8PCvoZAdIECgZgWgYLAwkHHQcDBkhOBgMIHQcD7AEJs9lpy1QJAQYiBhQIlrJarEcJFAYhBb6sBgcK/RIKBwasDg8KAV4KD2QBCYGhmn8JAQEGFwcTCGd+hGoIFQYWBQAAAAANAAAAAASwBLAACQAVABkAHQAhACUALQA7AD8AQwBHAEsATwAAATMVIxUhFSMRIQEjFTMVIREjESM1IQURIREhESERBSM1MwUjNTMBMxEhETM1MwEzFSMVIzUjNTM1IzUhBREhEQcjNTMFIzUzASM1MwUhNSEB9GRk/nBkAfQCvMjI/tTIZAJY+7QBLAGQASz84GRkArxkZP1EyP4MyGQB9MhkyGRkyAEs/UQBLGRkZAOEZGT+DGRkAfT+1AEsA4RkZGQCWP4MZMgBLAEsyGT+1AEs/tQBLMhkZGT+DP4MAfRk/tRkZGRkyGTI/tQBLMhkZGT+1GRkZAAAAAAJAAAAAASwBLAAAwAHAAsADwATABcAGwAfACMAADcjETMTIxEzASMRMxMjETMBIxEzASE1IRcjNTMXIzUzBSM1M2RkZMhkZAGQyMjIZGQBLMjI/OD+1AEsyGRkyGRkASzIyMgD6PwYA+j8GAPo/BgD6PwYA+j7UGRkW1tbW1sAAAIAAAAKBKYEsAANABUAAAkBFhQHAQYiJwETNDYzBCYiBhQWMjYB9AKqCAj+MAgUCP1WAQ8KAUM7Uzs7UzsEsP1WCBQI/jAICAKqAdsKD807O1Q7OwAAAAADAAAACgXSBLAADQAZACEAAAkBFhQHAQYiJwETNDYzIQEWFAcBBiIvAQkBBCYiBhQWMjYB9AKqCAj+MAgUCP1WAQ8KAwYCqggI/jAIFAg4Aaj9RP7TO1M7O1M7BLD9VggUCP4wCAgCqgHbCg/9VggUCP4wCAg4AaoCvM07O1Q7OwAAAAABAGQAAASwBLAAJgAAASEyFREUDwEGJjURNCYjISIPAQYWMyEyFhURFAYjISImNRE0PwE2ASwDOUsSQAgKDwr9RBkSQAgFCgK8Cg8PCvyuCg8SixIEsEv8fBkSQAgFCgO2Cg8SQAgKDwr8SgoPDwoDzxkSixIAAAABAMj//wRMBLAACgAAEyEyFhURCQERNDb6AyAVHf4+/j4dBLAdFfuCAbz+QwR/FR0AAAAAAwAAAAAEsASwABUARQBVAAABISIGBwMGHwEeATMhMjY/ATYnAy4BASMiBg8BDgEjISImLwEuASsBIgYVERQWOwEyNj0BNDYzITIWHQEUFjsBMjY1ETQmASEiBg8BBhYzITI2LwEuAQM2/kQLEAFOBw45BhcKAcIKFwY+DgdTARABVpYKFgROBBYK/doKFgROBBYKlgoPDwqWCg8PCgLuCg8PCpYKDw/+sf4MChMCJgILCgJYCgsCJgITBLAPCv7TGBVsCQwMCWwVGAEtCg/+cA0JnAkNDQmcCQ0PCv12Cg8PCpYKDw8KlgoPDwoCigoP/agOCpgKDg4KmAoOAAAAAAQAAABkBLAETAAdACEAKQAxAAABMzIeAh8BMzIWFREUBiMhIiY1ETQ2OwE+BAEVMzUEIgYUFjI2NCQyFhQGIiY0AfTIOF00JAcGlik7Oyn8GCk7OymWAgknM10ByGT+z76Hh76H/u9WPDxWPARMKTs7FRQ7Kf2oKTs7KQJYKTsIG0U1K/7UZGRGh76Hh74IPFY8PFYAAAAAAgA1AAAEsASvACAAIwAACQEWFx4BHwEVITUyNi8BIQYHBh4CMxUhNTY3PgE/AQEDIQMCqQGBFCgSJQkK/l81LBFS/nk6IgsJKjIe/pM4HAwaBwcBj6wBVKIEr/waMioTFQECQkJXLd6RWSIuHAxCQhgcDCUNDQPu/VoByQAAAAADAGQAAAPwBLAAJwAyADsAAAEeBhUUDgMjITU+ATURNC4EJzUFMh4CFRQOAgclMzI2NTQuAisBETMyNjU0JisBAvEFEzUwOyodN1htbDD+DCk7AQYLFyEaAdc5dWM+Hy0tEP6Pi05pESpTPnbYUFJ9Xp8CgQEHGB0zOlIuQ3VONxpZBzMoAzsYFBwLEAkHRwEpSXNDM1s6KwkxYUopOzQb/K5lUFqBAAABAMgAAANvBLAAGQAAARcOAQcDBhYXFSE1NjcTNjQuBCcmJzUDbQJTQgeECSxK/gy6Dq0DAw8MHxUXDQYEsDkTNSj8uTEoBmFhEFIDQBEaExAJCwYHAwI5AAAAAAL/tQAABRQEsAAlAC8AAAEjNC4FKwERFBYfARUhNTI+AzURIyIOBRUjESEFIxEzByczESM3BRQyCAsZEyYYGcgyGRn+cAQOIhoWyBkYJhMZCwgyA+j7m0tLfX1LS30DhBUgFQ4IAwH8rhYZAQJkZAEFCRUOA1IBAwgOFSAVASzI/OCnpwMgpwACACH/tQSPBLAAJQAvAAABIzQuBSsBERQWHwEVITUyPgM1ESMiDgUVIxEhEwc1IRUnNxUhNQRMMggLGRMmGBnIMhkZ/nAEDiIaFsgZGCYTGQsIMgPoQ6f84KenAyADhBUgFQ4IAwH9dhYZAQJkZAEFCRUOAooBAwgOFSAVASz7gn1LS319S0sABAAAAAAEsARMAA8AHwAvAD8AABMhMhYdARQGIyEiJj0BNDYTITIWHQEUBiMhIiY9ATQ2EyEyFh0BFAYjISImPQE0NhMhMhYdARQGIyEiJj0BNDYyAlgVHR0V/agVHR0VA+gVHR0V/BgVHR0VAyAVHR0V/OAVHR0VBEwVHR0V+7QVHR0ETB0VZBUdHRVkFR3+1B0VZBUdHRVkFR3+1B0VZBUdHRVkFR3+1B0VZBUdHRVkFR0ABAAAAAAEsARMAA8AHwAvAD8AABMhMhYdARQGIyEiJj0BNDYDITIWHQEUBiMhIiY9ATQ2EyEyFh0BFAYjISImPQE0NgMhMhYdARQGIyEiJj0BNDb6ArwVHR0V/UQVHR2zBEwVHR0V+7QVHR3dArwVHR0V/UQVHR2zBEwVHR0V+7QVHR0ETB0VZBUdHRVkFR3+1B0VZBUdHRVkFR3+1B0VZBUdHRVkFR3+1B0VZBUdHRVkFR0ABAAAAAAEsARMAA8AHwAvAD8AAAE1NDYzITIWHQEUBiMhIiYBNTQ2MyEyFh0BFAYjISImEzU0NjMhMhYdARQGIyEiJgE1NDYzITIWHQEUBiMhIiYB9B0VAlgVHR0V/agVHf5wHRUD6BUdHRX8GBUdyB0VAyAVHR0V/OAVHf7UHRUETBUdHRX7tBUdA7ZkFR0dFWQVHR3+6WQVHR0VZBUdHf7pZBUdHRVkFR0d/ulkFR0dFWQVHR0AAAQAAAAABLAETAAPAB8ALwA/AAATITIWHQEUBiMhIiY9ATQ2EyEyFh0BFAYjISImPQE0NhMhMhYdARQGIyEiJj0BNDYTITIWHQEUBiMhIiY9ATQ2MgRMFR0dFfu0FR0dFQRMFR0dFfu0FR0dFQRMFR0dFfu0FR0dFQRMFR0dFfu0FR0dBEwdFWQVHR0VZBUd/tQdFWQVHR0VZBUd/tQdFWQVHR0VZBUd/tQdFWQVHR0VZBUdAAgAAAAABLAETAAPAB8ALwA/AE8AXwBvAH8AABMzMhYdARQGKwEiJj0BNDYpATIWHQEUBiMhIiY9ATQ2ATMyFh0BFAYrASImPQE0NikBMhYdARQGIyEiJj0BNDYBMzIWHQEUBisBIiY9ATQ2KQEyFh0BFAYjISImPQE0NgEzMhYdARQGKwEiJj0BNDYpATIWHQEUBiMhIiY9ATQ2MmQVHR0VZBUdHQFBAyAVHR0V/OAVHR3+6WQVHR0VZBUdHQFBAyAVHR0V/OAVHR3+6WQVHR0VZBUdHQFBAyAVHR0V/OAVHR3+6WQVHR0VZBUdHQFBAyAVHR0V/OAVHR0ETB0VZBUdHRVkFR0dFWQVHR0VZBUd/tQdFWQVHR0VZBUdHRVkFR0dFWQVHf7UHRVkFR0dFWQVHR0VZBUdHRVkFR3+1B0VZBUdHRVkFR0dFWQVHR0VZBUdAAAG/5wAAASwBEwAAwATACMAKgA6AEoAACEjETsCMhYdARQGKwEiJj0BNDYTITIWHQEUBiMhIiY9ATQ2BQc1IzUzNQUhMhYdARQGIyEiJj0BNDYTITIWHQEUBiMhIiY9ATQ2AZBkZJZkFR0dFWQVHR0VAfQVHR0V/gwVHR3++qfIyAHCASwVHR0V/tQVHR0VAlgVHR0V/agVHR0ETB0VZBUdHRVkFR3+1B0VZBUdHRVkFR36fUtkS68dFWQVHR0VZBUd/tQdFWQVHR0VZBUdAAAABgAAAAAFFARMAA8AEwAjACoAOgBKAAATMzIWHQEUBisBIiY9ATQ2ASMRMwEhMhYdARQGIyEiJj0BNDYFMxUjFSc3BSEyFh0BFAYjISImPQE0NhMhMhYdARQGIyEiJj0BNDYyZBUdHRVkFR0dA2dkZPyuAfQVHR0V/gwVHR0EL8jIp6f75gEsFR0dFf7UFR0dFQJYFR0dFf2oFR0dBEwdFWQVHR0VZBUd+7QETP7UHRVkFR0dFWQVHchkS319rx0VZBUdHRVkFR3+1B0VZBUdHRVkFR0AAAAAAgAAAMgEsAPoAA8AEgAAEyEyFhURFAYjISImNRE0NgkCSwLuHywsH/0SHywsBIT+1AEsA+gsH/12HywsHwKKHyz9RAEsASwAAwAAAAAEsARMAA8AFwAfAAATITIWFREUBiMhIiY1ETQ2FxE3BScBExEEMhYUBiImNCwEWBIaGhL7qBIaGkr3ASpKASXs/NJwTk5wTgRMGhL8DBIaGhID9BIaZP0ftoOcAT7+4AH0dE5vT09vAAAAAAIA2wAFBDYEkQAWAB4AAAEyHgEVFAcOAQ8BLgQnJjU0PgIWIgYUFjI2NAKIdcZzRkWyNjYJIV5YbSk8RHOft7eCgreCBJF4ynVzj23pPz4IIWZomEiEdVijeUjDgriBgbgAAAACABcAFwSZBJkADwAXAAAAMh4CFA4CIi4CND4BAREiDgEUHgEB4+rWm1tbm9bq1ptbW5sBS3TFcnLFBJlbm9bq1ptbW5vW6tab/G8DVnLF6MVyAAACAHUAAwPfBQ8AGgA1AAABHgYVFA4DBy4DNTQ+BQMOAhceBBcWNj8BNiYnLgInJjc2IyYCKhVJT1dOPiUzVnB9P1SbfEokP0xXUEm8FykoAwEbITEcExUWAgYCCQkFEikMGiACCAgFD0iPdXdzdYdFR4BeRiYEBTpjl1lFh3ZzeHaQ/f4hS4I6JUEnIw4IBwwQIgoYBwQQQSlZtgsBAAAAAwAAAAAEywRsAAwAKgAvAAABNz4CHgEXHgEPAiUhMhcHISIGFREUFjMhMjY9ATcRFAYjISImNRE0NgkBBzcBA+hsAgYUFR0OFgoFBmz9BQGQMje7/pApOzspAfQpO8i7o/5wpbm5Azj+lqE3AWMD9XMBAgIEDw4WKgsKc8gNuzsp/gwpOzsptsj+tKW5uaUBkKW5/tf+ljKqAWMAAgAAAAAEkwRMABsANgAAASEGByMiBhURFBYzITI2NTcVFAYjISImNRE0NgUBFhQHAQYmJzUmDgMHPgY3NT4BAV4BaaQ0wyk7OykB9Ck7yLml/nClubkCfwFTCAj+rAcLARo5ZFRYGgouOUlARioTAQsETJI2Oyn+DCk7OymZZ6W5uaUBkKW5G/7TBxUH/s4GBAnLAQINFjAhO2JBNB0UBwHSCgUAAAAAAgAAAAAEnQRMAB0ANQAAASEyFwchIgYVERQWMyEyNj0BNxUUBiMhIiY1ETQ2CQE2Mh8BFhQHAQYiLwEmND8BNjIfARYyAV4BXjxDsv6jKTs7KQH0KTvIuaX+cKW5uQHKAYsHFQdlBwf97QcVB/gHB2UHFQdvCBQETBexOyn+DCk7OylFyNulubmlAZCluf4zAYsHB2UHFQf97AcH+AcVB2UHB28HAAAAAQAKAAoEpgSmADsAAAkBNjIXARYGKwEVMzU0NhcBFhQHAQYmPQEjFTMyFgcBBiInASY2OwE1IxUUBicBJjQ3ATYWHQEzNSMiJgE+AQgIFAgBBAcFCqrICggBCAgI/vgICsiqCgUH/vwIFAj++AgFCq/ICgj++AgIAQgICsivCgUDlgEICAj++AgKyK0KBAf+/AcVB/73BwQKrcgKCP74CAgBCAgKyK0KBAcBCQcVBwEEBwQKrcgKAAEAyAAAA4QETAAZAAATMzIWFREBNhYVERQGJwERFAYrASImNRE0NvpkFR0B0A8VFQ/+MB0VZBUdHQRMHRX+SgHFDggV/BgVCA4Bxf5KFR0dFQPoFR0AAAABAAAAAASwBEwAIwAAEzMyFhURATYWFREBNhYVERQGJwERFAYnAREUBisBIiY1ETQ2MmQVHQHQDxUB0A8VFQ/+MBUP/jAdFWQVHR0ETB0V/koBxQ4IFf5KAcUOCBX8GBUIDgHF/koVCA4Bxf5KFR0dFQPoFR0AAAABAJ0AGQSwBDMAFQAAAREUBicBERQGJwEmNDcBNhYVEQE2FgSwFQ/+MBUP/hQPDwHsDxUB0A8VBBr8GBUIDgHF/koVCA4B4A4qDgHgDggV/koBxQ4IAAAAAQDIABYEMwQ2AAsAABMBFhQHAQYmNRE0NvMDLhIS/NISGRkEMv4OCx4L/g4LDhUD6BUOAAIAyABkA4QD6AAPAB8AABMzMhYVERQGKwEiJjURNDYhMzIWFREUBisBIiY1ETQ2+sgVHR0VyBUdHQGlyBUdHRXIFR0dA+gdFfzgFR0dFQMgFR0dFfzgFR0dFQMgFR0AAAEAyABkBEwD6AAPAAABERQGIyEiJjURNDYzITIWBEwdFfzgFR0dFQMgFR0DtvzgFR0dFQMgFR0dAAAAAAEAAAAZBBMEMwAVAAABETQ2FwEWFAcBBiY1EQEGJjURNDYXAfQVDwHsDw/+FA8V/jAPFRUPAmQBthUIDv4gDioO/iAOCBUBtv47DggVA+gVCA4AAAH//gACBLMETwAjAAABNzIWFRMUBiMHIiY1AwEGJjUDAQYmNQM0NhcBAzQ2FwEDNDYEGGQUHgUdFWQVHQL+MQ4VAv4yDxUFFQ8B0gIVDwHSAh0ETgEdFfwYFR0BHRUBtf46DwkVAbX+OQ4JFAPoFQkP/j4BthQJDv49AbYVHQAAAQEsAAAD6ARMABkAAAEzMhYVERQGKwEiJjURAQYmNRE0NhcBETQ2A1JkFR0dFWQVHf4wDxUVDwHQHQRMHRX8GBUdHRUBtv47DggVA+gVCA7+OwG2FR0AAAIAZADIBLAESAALABsAAAkBFgYjISImNwE2MgEhMhYdARQGIyEiJj0BNDYCrgH1DwkW++4WCQ8B9Q8q/fcD6BUdHRX8GBUdHQQ5/eQPFhYPAhwP/UgdFWQVHR0VZBUdAAEAiP/8A3UESgAFAAAJAgcJAQN1/qABYMX92AIoA4T+n/6fxgIoAiYAAAAAAQE7//wEKARKAAUAAAkBJwkBNwQo/dnGAWH+n8YCI/3ZxgFhAWHGAAIAFwAXBJkEmQAPADMAAAAyHgIUDgIiLgI0PgEFIyIGHQEjIgYdARQWOwEVFBY7ATI2PQEzMjY9ATQmKwE1NCYB4+rWm1tbm9bq1ptbW5sBfWQVHZYVHR0Vlh0VZBUdlhUdHRWWHQSZW5vW6tabW1ub1urWm7odFZYdFWQVHZYVHR0Vlh0VZBUdlhUdAAAAAAIAFwAXBJkEmQAPAB8AAAAyHgIUDgIiLgI0PgEBISIGHQEUFjMhMjY9ATQmAePq1ptbW5vW6tabW1ubAkX+DBUdHRUB9BUdHQSZW5vW6tabW1ub1urWm/5+HRVkFR0dFWQVHQACABcAFwSZBJkADwAzAAAAMh4CFA4CIi4CND4BBCIPAScmIg8BBhQfAQcGFB8BFjI/ARcWMj8BNjQvATc2NC8BAePq1ptbW5vW6tabW1ubAeUZCXh4CRkJjQkJeHgJCY0JGQl4eAkZCY0JCXh4CQmNBJlbm9bq1ptbW5vW6tabrQl4eAkJjQkZCXh4CRkJjQkJeHgJCY0JGQl4eAkZCY0AAgAXABcEmQSZAA8AJAAAADIeAhQOAiIuAjQ+AQEnJiIPAQYUHwEWMjcBNjQvASYiBwHj6tabW1ub1urWm1tbmwEVVAcVCIsHB/IHFQcBdwcHiwcVBwSZW5vW6tabW1ub1urWm/4xVQcHiwgUCPEICAF3BxUIiwcHAAAAAAMAFwAXBJkEmQAPADsASwAAADIeAhQOAiIuAjQ+AQUiDgMVFDsBFjc+ATMyFhUUBgciDgUHBhY7ATI+AzU0LgMTIyIGHQEUFjsBMjY9ATQmAePq1ptbW5vW6tabW1ubAT8dPEIyIRSDHgUGHR8UFw4TARkOGhITDAIBDQ6tBx4oIxgiM0Q8OpYKDw8KlgoPDwSZW5vW6tabW1ub1urWm5ELHi9PMhkFEBQQFRIXFgcIBw4UHCoZCBEQKDhcNi9IKhsJ/eMPCpYKDw8KlgoPAAADABcAFwSZBJkADwAfAD4AAAAyHgIUDgIiLgI0PgEFIyIGHQEUFjsBMjY9ATQmAyMiBh0BFBY7ARUjIgYdARQWMyEyNj0BNCYrARE0JgHj6tabW1ub1urWm1tbmwGWlgoPDwqWCg8PCvoKDw8KS0sKDw8KAV4KDw8KSw8EmVub1urWm1tbm9bq1ptWDwqWCg8PCpYKD/7UDwoyCg/IDwoyCg8PCjIKDwETCg8AAgAAAAAEsASwAC8AXwAAATMyFh0BHgEXMzIWHQEUBisBDgEHFRQGKwEiJj0BLgEnIyImPQE0NjsBPgE3NTQ2ExUUBisBIiY9AQ4BBzMyFh0BFAYrAR4BFzU0NjsBMhYdAT4BNyMiJj0BNDY7AS4BAg2WCg9nlxvCCg8PCsIbl2cPCpYKD2eXG8IKDw8KwhuXZw+5DwqWCg9EZheoCg8PCqgXZkQPCpYKD0RmF6gKDw8KqBdmBLAPCsIbl2cPCpYKD2eXG8IKDw8KwhuXZw8KlgoPZ5cbwgoP/s2oCg8PCqgXZkQPCpYKD0RmF6gKDw8KqBdmRA8KlgoPRGYAAwAXABcEmQSZAA8AGwA/AAAAMh4CFA4CIi4CND4BBCIOARQeATI+ATQmBxcWFA8BFxYUDwEGIi8BBwYiLwEmND8BJyY0PwE2Mh8BNzYyAePq1ptbW5vW6tabW1ubAb/oxXJyxejFcnKaQAcHfHwHB0AHFQd8fAcVB0AHB3x8BwdABxUHfHwHFQSZW5vW6tabW1ub1urWmztyxejFcnLF6MVaQAcVB3x8BxUHQAcHfHwHB0AHFQd8fAcVB0AHB3x8BwAAAAMAFwAXBJkEmQAPABsAMAAAADIeAhQOAiIuAjQ+AQQiDgEUHgEyPgE0JgcXFhQHAQYiLwEmND8BNjIfATc2MgHj6tabW1ub1urWm1tbmwG/6MVycsXoxXJyg2oHB/7ACBQIyggIagcVB0/FBxUEmVub1urWm1tbm9bq1ps7csXoxXJyxejFfWoHFQf+vwcHywcVB2oICE/FBwAAAAMAFwAXBJkEmQAPABgAIQAAADIeAhQOAiIuAjQ+AQUiDgEVFBcBJhcBFjMyPgE1NAHj6tabW1ub1urWm1tbmwFLdMVyQQJLafX9uGhzdMVyBJlbm9bq1ptbW5vW6tabO3LFdHhpAktB0P24PnLFdHMAAAAAAQAXAFMEsAP5ABUAABMBNhYVESEyFh0BFAYjIREUBicBJjQnAgoQFwImFR0dFf3aFxD99hACRgGrDQoV/t0dFcgVHf7dFQoNAasNJgAAAAABAAAAUwSZA/kAFQAACQEWFAcBBiY1ESEiJj0BNDYzIRE0NgJ/AgoQEP32EBf92hUdHRUCJhcD8f5VDSYN/lUNChUBIx0VyBUdASMVCgAAAAEAtwAABF0EmQAVAAAJARYGIyERFAYrASImNREhIiY3ATYyAqoBqw0KFf7dHRXIFR3+3RUKDQGrDSYEif32EBf92hUdHRUCJhcQAgoQAAAAAQC3ABcEXQSwABUAAAEzMhYVESEyFgcBBiInASY2MyERNDYCJsgVHQEjFQoN/lUNJg3+VQ0KFQEjHQSwHRX92hcQ/fYQEAIKEBcCJhUdAAABAAAAtwSZBF0AFwAACQEWFAcBBiY1EQ4DBz4ENxE0NgJ/AgoQEP32EBdesKWBJAUsW4fHfhcEVf5VDSYN/lUNChUBIwIkRHVNabGdcUYHAQYVCgACAAAAAASwBLAAFQArAAABITIWFREUBi8BBwYiLwEmND8BJyY2ASEiJjURNDYfATc2Mh8BFhQPARcWBgNSASwVHRUOXvkIFAhqBwf5Xg4I/iH+1BUdFQ5e+QgUCGoHB/leDggEsB0V/tQVCA5e+QcHaggUCPleDhX7UB0VASwVCA5e+QcHaggUCPleDhUAAAACAEkASQRnBGcAFQArAAABFxYUDwEXFgYjISImNRE0Nh8BNzYyASEyFhURFAYvAQcGIi8BJjQ/AScmNgP2agcH+V4OCBX+1BUdFQ5e+QgU/QwBLBUdFQ5e+QgUCGoHB/leDggEYGoIFAj5Xg4VHRUBLBUIDl75B/3xHRX+1BUIDl75BwdqCBQI+V4OFQAAAAADABcAFwSZBJkADwAfAC8AAAAyHgIUDgIiLgI0PgEFIyIGFxMeATsBMjY3EzYmAyMiBh0BFBY7ATI2PQE0JgHj6tabW1ub1urWm1tbmwGz0BQYBDoEIxQ2FCMEOgQYMZYKDw8KlgoPDwSZW5vW6tabW1ub1urWm7odFP7SFB0dFAEuFB3+DA8KlgoPDwqWCg8AAAAABQAAAAAEsASwAEkAVQBhAGgAbwAAATIWHwEWHwEWFxY3Nj8BNjc2MzIWHwEWHwIeATsBMhYdARQGKwEiBh0BIREjESE1NCYrASImPQE0NjsBMjY1ND8BNjc+BAUHBhY7ATI2LwEuAQUnJgYPAQYWOwEyNhMhIiY1ESkBERQGIyERAQQJFAUFFhbEFQ8dCAsmxBYXERUXMA0NDgQZCAEPCj0KDw8KMgoP/nDI/nAPCjIKDw8KPQsOCRkFDgIGFRYfAp2mBwQK2woKAzMDEP41sQgQAzMDCgrnCwMe/okKDwGQAlgPCv6JBLAEAgIKDXYNCxUJDRZ2DQoHIREQFRh7LAkLDwoyCg8PCq8BLP7UrwoPDwoyCg8GBQQwgBkUAwgWEQ55ogcKDgqVCgSqnQcECo8KDgr8cg8KAXf+iQoPAZAAAAAAAgAAAAwErwSmACsASQAAATYWFQYCDgQuAScmByYOAQ8BBiY1NDc+ATc+AScuAT4BNz4GFyYGBw4BDwEOBAcOARY2Nz4CNz4DNz4BBI0IGgItQmxhi2KORDg9EQQRMxuZGhYqCFUYEyADCQIQOjEnUmFch3vAJQgdHyaiPT44XHRZUhcYDhItIRmKcVtGYWtbKRYEBKYDEwiy/t3IlVgxEQgLCwwBAQIbG5kYEyJAJghKFRE8Hzdff4U/M0o1JSMbL0QJGCYvcSEhHjZST2c1ODwEJygeW0AxJUBff1UyFAABAF0AHgRyBM8ATwAAAQ4BHgQXLgc+ATceAwYHDgQHBicmNzY3PgQuAScWDgMmJy4BJyY+BDcGHgM3PgEuAicmPgMCjScfCic4R0IgBBsKGAoQAwEJEg5gikggBhANPkpTPhZINx8SBgsNJysiCRZOQQoVNU1bYC9QZwICBAUWITsoCAYdJzIYHw8YIiYHDyJJYlkEz0OAZVxEOSQMBzgXOB42IzElKRIqg5Gnl0o3Z0c6IAYWCwYNAwQFIDhHXGF1OWiqb0sdBxUknF0XNTQ8PEUiNWNROBYJDS5AQVUhVZloUSkAAAAAA//cAGoE1ARGABsAPwBRAAAAMh4FFA4FIi4FND4EBSYGFxYVFAYiJjU0NzYmBwYHDgEXHgQyPgM3NiYnJgUHDgEXFhcWNj8BNiYnJicuAQIGpJ17bk85HBw6T257naKde25POhwcOU9uewIPDwYIGbD4sBcIBw5GWg0ECxYyWl+DiINfWjIWCwQMWv3/Iw8JCSU4EC0OIw4DDywtCyIERi1JXGJcSSpJXGJcSS0tSVxiXEkqSVxiXEncDwYTOT58sLB8OzcTBg9FcxAxEiRGXkQxMEVeRSQSMRF1HiQPLxJEMA0EDyIPJQ8sSRIEAAAABP/cAAAE1ASwABQAJwA7AEwAACEjNy4ENTQ+BTMyFzczEzceARUUDgMHNz4BNzYmJyYlBgcOARceBBc3LgE1NDc2JhcHDgEXFhcWNj8CJyYnLgECUJQfW6l2WSwcOU9ue51SPUEglCYvbIknUGqYUi5NdiYLBAw2/VFGWg0ECxIqSExoNSlrjxcIB3wjDwkJJTgQLQ4MFgMsLQsieBRhdHpiGxVJXGJcSS0Pef5StVXWNBpacm5jGq0xiD8SMRFGckVzEDESHjxRQTkNmhKnbjs3EwZwJA8vEkQwDQQPC1YELEkSBAAAAAP/ngAABRIEqwALABgAKAAAJwE2FhcBFgYjISImJSE1NDY7ATIWHQEhAQczMhYPAQ4BKwEiJi8BJjZaAoIUOBQCghUbJfryJRsBCgFZDwqWCg8BWf5DaNAUGAQ6BCMUNhQjBDoEGGQEKh8FIfvgIEdEhEsKDw8KSwLT3x0U/BQdHRT8FB0AAAABAGQAFQSwBLAAKAAAADIWFREBHgEdARQGJyURFh0BFAYvAQcGJj0BNDcRBQYmPQE0NjcBETQCTHxYAWsPFhgR/plkGhPNzRMaZP6ZERgWDwFrBLBYPv6t/rsOMRQpFA0M+f75XRRAFRAJgIAJEBVAFF0BB/kMDRQpFDEOAUUBUz4AAAARAAAAAARMBLAAHQAnACsALwAzADcAOwA/AEMARwBLAE8AUwBXAFsAXwBjAAABMzIWHQEzMhYdASE1NDY7ATU0NjsBMhYdASE1NDYBERQGIyEiJjURFxUzNTMVMzUzFTM1MxUzNTMVMzUFFTM1MxUzNTMVMzUzFTM1MxUzNQUVMzUzFTM1MxUzNTMVMzUzFTM1A1JkFR0yFR37tB0VMh0VZBUdAfQdAQ8dFfwYFR1kZGRkZGRkZGRk/HxkZGRkZGRkZGT8fGRkZGRkZGRkZASwHRUyHRWWlhUdMhUdHRUyMhUd/nD9EhUdHRUC7shkZGRkZGRkZGRkyGRkZGRkZGRkZGTIZGRkZGRkZGRkZAAAAAMAAAAZBXcElwAZACUANwAAARcWFA8BBiY9ASMBISImPQE0NjsBATM1NDYBBycjIiY9ATQ2MyEBFxYUDwEGJj0BIyc3FzM1NDYEb/kPD/kOFZ/9qP7dFR0dFdECWPEV/amNetEVHR0VASMDGvkPD/kOFfG1jXqfFQSN5g4qDuYOCBWW/agdFWQVHQJYlhUI/piNeh0VZBUd/k3mDioO5g4IFZa1jXqWFQgAAAABAAAAAASwBEwAEgAAEyEyFhURFAYjIQERIyImNRE0NmQD6Ck7Oyn9rP7QZCk7OwRMOyn9qCk7/tQBLDspAlgpOwAAAAMAZAAABEwEsAAJABMAPwAAEzMyFh0BITU0NiEzMhYdASE1NDYBERQOBSIuBTURIRUUFRwBHgYyPgYmNTQ9AZbIFR3+1B0C0cgVHf7UHQEPBhgoTGacwJxmTCgYBgEsAwcNFB8nNkI2Jx8TDwUFAQSwHRX6+hUdHRX6+hUd/nD+1ClJalZcPigoPlxWakkpASz6CRIVKyclIRsWEAgJEBccISUnKhURCPoAAAAB//8A1ARMA8IABQAAAQcJAScBBEzG/p/+n8UCJwGbxwFh/p/HAicAAQAAAO4ETQPcAAUAAAkCNwkBBE392v3ZxgFhAWEDFf3ZAifH/p8BYQAAAAAC/1EAZAVfA+gAFAApAAABITIWFREzMhYPAQYiLwEmNjsBESElFxYGKwERIRchIiY1ESMiJj8BNjIBlALqFR2WFQgO5g4qDuYOCBWW/oP+HOYOCBWWAYHX/RIVHZYVCA7mDioD6B0V/dkVDvkPD/kOFQGRuPkOFf5wyB0VAiYVDvkPAAABAAYAAASeBLAAMAAAEzMyFh8BITIWBwMOASMhFyEyFhQGKwEVFAYiJj0BIRUUBiImPQEjIiYvAQMjIiY0NjheERwEJgOAGB4FZAUsIf2HMAIXFR0dFTIdKh3+1B0qHR8SHQYFyTYUHh4EsBYQoiUY/iUVK8gdKh0yFR0dFTIyFR0dFTIUCQoDwR0qHQAAAAACAAAAAASwBEwACwAPAAABFSE1MzQ2MyEyFhUFIREhBLD7UMg7KQEsKTv9RASw+1AD6GRkKTs7Kcj84AACAAAAAAXcBEwADAAQAAATAxEzNDYzITIWFSEVBQEhAcjIyDspASwqOgH0ASz+1PtQASwDIP5wAlgpOzspyGT9RAK8AAEBRQAAA2sErwAbAAABFxYGKwERMzIWDwEGIi8BJjY7AREjIiY/ATYyAnvmDggVlpYVCA7mDioO5g4IFZaWFQgO5g4qBKD5DhX9pxUO+Q8P+Q4VAlkVDvkPAAAAAQABAUQErwNrABsAAAEXFhQPAQYmPQEhFRQGLwEmND8BNhYdASE1NDYDqPkODvkPFf2oFQ/5Dg75DxUCWBUDYOUPKQ/lDwkUl5cUCQ/lDykP5Q8JFZWVFQkAAAAEAAAAAASwBLAACQAZAB0AIQAAAQMuASMhIgYHAwUhIgYdARQWMyEyNj0BNCYFNTMVMzUzFQSRrAUkFP1gFCQFrAQt/BgpOzspA+gpOzv+q2RkZAGQAtwXLSgV/R1kOylkKTs7KWQpO8hkZGRkAAAAA/+cAGQEsARMAAsAIwAxAAAAMhYVERQGIiY1ETQDJSMTFgYjIisBIiYnAj0BNDU0PgE7ASUBFSIuAz0BND4CNwRpKh0dKh1k/V0mLwMRFQUCVBQdBDcCCwzIAqP8GAQOIhoWFR0dCwRMHRX8rhUdHRUDUhX8mcj+7BAIHBUBUQ76AgQQDw36/tT6AQsTKRwyGigUDAEAAAACAEoAAARmBLAALAA1AAABMzIWDwEeARcTFzMyFhQGBw4EIyIuBC8BLgE0NjsBNxM+ATcnJjYDFjMyNw4BIiYCKV4UEgYSU3oPP3YRExwaEggeZGqfTzl0XFU+LwwLEhocExF2Pw96UxIGEyQyNDUxDDdGOASwFRMlE39N/rmtHSkoBwQLHBYSCg4REg4FBAgoKR2tAUdNfhQgExr7vgYGMT09AAEAFAAUBJwEnAAXAAABNwcXBxcHFycHJwcnBzcnNyc3Jxc3FzcDIOBO6rS06k7gLZubLeBO6rS06k7gLZubA7JO4C2bmy3gTuq0tOpO4C2bmy3gTuq0tAADAAAAZASwBLAAIQAtAD0AAAEzMhYdAQchMhYdARQHAw4BKwEiJi8BIyImNRE0PwI+ARcPAREzFzMTNSE3NQEzMhYVERQGKwEiJjURNDYCijIoPBwBSCg8He4QLBf6B0YfHz0tNxSRYA0xG2SWZIjW+v4+Mv12ZBUdHRVkFR0dBLBRLJZ9USxkLR3+qBghMhkZJCcBkCQbxMYcKGTU1f6JZAF3feGv/tQdFf4MFR0dFQH0FR0AAAAAAwAAAAAEsARMACAAMAA8AAABMzIWFxMWHQEUBiMhFh0BFAYrASImLwImNRE0NjsBNgUzMhYVERQGKwEiJjURNDYhByMRHwEzNSchNQMCWPoXLBDuHTwo/rgcPCgyGzENYJEUNy09fP3pZBUdHRVkFR0dAl+IZJZkMjIBwvoETCEY/qgdLWQsUXYHlixRKBzGxBskAZAnJGRkHRX+DBUdHRUB9BUdZP6J1dSv4X0BdwADAAAAZAUOBE8AGwA3AEcAAAElNh8BHgEPASEyFhQGKwEDDgEjISImNRE0NjcXERchEz4BOwEyNiYjISoDLgQnJj8BJwUzMhYVERQGKwEiJjURNDYBZAFrHxZuDQEMVAEuVGxuVGqDBhsP/qoHphwOOmQBJYMGGw/LFRMSFv44AgoCCQMHAwUDAQwRklb9T2QVHR0VZBUdHQNp5hAWcA0mD3lMkE7+rRUoog0CDRElCkj+CVkBUxUoMjIBAgIDBQIZFrdT5B0V/gwVHR0VAfQVHQAAAAP/nABkBLAETwAdADYARgAAAQUeBBURFAYjISImJwMjIiY0NjMhJyY2PwE2BxcWBw4FKgIjIRUzMhYXEyE3ESUFMzIWFREUBisBIiY1ETQ2AdsBbgIIFBANrAf+qg8bBoNqVW1sVAEuVQsBDW4WSpIRDAIDBQMHAwkDCgH+Jd0PHAaCASZq/qoCUGQVHR0VZBUdHQRP5gEFEBEXC/3zDaIoFQFTTpBMeQ8mDXAWrrcWGQIFAwICAWQoFf6tWQH37OQdFf4MFR0dFQH0FR0AAAADAGEAAARMBQ4AGwA3AEcAAAAyFh0BBR4BFREUBiMhIiYvAQMmPwE+AR8BETQXNTQmBhURHAMOBAcGLwEHEyE3ESUuAQMhMhYdARQGIyEiJj0BNDYB3pBOAVMVKKIN/fMRJQoJ5hAWcA0mD3nGMjIBAgIDBQIZFrdT7AH3Wf6tFSiWAfQVHR0V/gwVHR0FDm5UaoMGGw/+qgemHA4OAWsfFm4NAQxUAS5U1ssVExIW/jgCCgIJAwcDBQMBDBGSVv6tZAElgwYb/QsdFWQVHR0VZBUdAAP//QAGA+gFFAAPAC0ASQAAASEyNj0BNCYjISIGHQEUFgEVFAYiJjURBwYmLwEmNxM+BDMhMhYVERQGBwEDFzc2Fx4FHAIVERQWNj0BNDY3JREnAV4B9BUdHRX+DBUdHQEPTpBMeQ8mDXAWEOYBBRARFwsCDQ2iKBX9iexTtxYZAgUDAgIBMjIoFQFTWQRMHRVkFR0dFWQVHfzmalRubFQBLlQMAQ1uFh8BawIIEw8Mpgf+qg8bBgHP/q1WkhEMAQMFAwcDCQIKAv44FhITFcsPGwaDASVkAAIAFgAWBJoEmgAPACUAAAAyHgIUDgIiLgI0PgEBJSYGHQEhIgYdARQWMyEVFBY3JTY0AeLs1ptbW5vW7NabW1ubAob+7RAX/u0KDw8KARMXEAETEASaW5vW7NabW1ub1uzWm/453w0KFYkPCpYKD4kVCg3fDSYAAAIAFgAWBJoEmgAPACUAAAAyHgIUDgIiLgI0PgENAQYUFwUWNj0BITI2PQE0JiMhNTQmAeLs1ptbW5vW7NabW1ubASX+7RAQARMQFwETCg8PCv7tFwSaW5vW7NabW1ub1uzWm+jfDSYN3w0KFYkPCpYKD4kVCgAAAAIAFgAWBJoEmgAPACUAAAAyHgIUDgIiLgI0PgEBAyYiBwMGFjsBERQWOwEyNjURMzI2AeLs1ptbW5vW7NabW1ubAkvfDSYN3w0KFYkPCpYKD4kVCgSaW5vW7NabW1ub1uzWm/5AARMQEP7tEBf+7QoPDwoBExcAAAIAFgAWBJoEmgAPACUAAAAyHgIUDgIiLgI0PgEFIyIGFREjIgYXExYyNxM2JisBETQmAeLs1ptbW5vW7NabW1ubAZeWCg+JFQoN3w0mDd8NChWJDwSaW5vW7NabW1ub1uzWm7sPCv7tFxD+7RAQARMQFwETCg8AAAMAGAAYBJgEmAAPAJYApgAAADIeAhQOAiIuAjQ+ASUOAwcGJgcOAQcGFgcOAQcGFgcUFgcyHgEXHgIXHgI3Fg4BFx4CFxQGFBcWNz4CNy4BJy4BJyIOAgcGJyY2NS4BJzYuAQYHBicmNzY3HgIXHgMfAT4CJyY+ATc+AzcmNzIWMjY3LgMnND4CJiceAT8BNi4CJwYHFB4BFS4CJz4BNxYyPgEB5OjVm1xcm9Xo1ZtcXJsBZA8rHDoKDz0PFD8DAxMBAzEFCRwGIgEMFhkHECIvCxU/OR0HFBkDDRQjEwcFaHUeISQDDTAMD0UREi4oLBAzDwQBBikEAQMLGhIXExMLBhAGKBsGBxYVEwYFAgsFAwMNFwQGCQcYFgYQCCARFwkKKiFBCwQCAQMDHzcLDAUdLDgNEiEQEgg/KhADGgMKEgoRBJhcm9Xo1ZtcXJvV6NWbEQwRBwkCAwYFBycPCxcHInIWInYcCUcYChQECA4QBAkuHgQPJioRFRscBAcSCgwCch0kPiAIAQcHEAsBAgsLIxcBMQENCQIPHxkCFBkdHB4QBgEBBwoMGBENBAMMJSAQEhYXDQ4qFBkKEhIDCQsXJxQiBgEOCQwHAQ0DBAUcJAwSCwRnETIoAwEJCwsLJQcKDBEAAAAAAQAAAAIErwSFABYAAAE2FwUXNxYGBw4BJwEGIi8BJjQ3ASY2AvSkjv79kfsGUE08hjv9rA8rD28PDwJYIk8EhVxliuh+WYcrIgsW/awQEG4PKxACV2XJAAYAAABgBLAErAAPABMAIwAnADcAOwAAEyEyFh0BFAYjISImPQE0NgUjFTMFITIWHQEUBiMhIiY9ATQ2BSEVIQUhMhYdARQGIyEiJj0BNDYFIRUhZAPoKTs7KfwYKTs7BBHIyPwYA+gpOzsp/BgpOzsEEf4MAfT8GAPoKTs7KfwYKTs7BBH+1AEsBKw7KWQpOzspZCk7ZGTIOylkKTs7KWQpO2RkyDspZCk7OylkKTtkZAAAAAIAZAAABEwEsAALABEAABMhMhYUBiMhIiY0NgERBxEBIZYDhBUdHRX8fBUdHQI7yP6iA4QEsB0qHR0qHf1E/tTIAfQB9AAAAAMAAABkBLAEsAAXABsAJQAAATMyFh0BITIWFREhNSMVIRE0NjMhNTQ2FxUzNQEVFAYjISImPQEB9MgpOwEsKTv+DMj+DDspASw7KcgB9Dsp/BgpOwSwOylkOyn+cGRkAZApO2QpO2RkZP1EyCk7OynIAAAABAAAAAAEsASwABUAKwBBAFcAABMhMhYPARcWFA8BBiIvAQcGJjURNDYpATIWFREUBi8BBwYiLwEmND8BJyY2ARcWFA8BFxYGIyEiJjURNDYfATc2MgU3NhYVERQGIyEiJj8BJyY0PwE2MhcyASwVCA5exwcHaggUCMdeDhUdAzUBLBUdFQ5exwgUCGoHB8deDgj+L2oHB8deDggV/tQVHRUOXscIFALLXg4VHRX+1BUIDl7HBwdqCBQIBLAVDl7HCBQIagcHx14OCBUBLBUdHRX+1BUIDl7HBwdqCBQIx14OFf0maggUCMdeDhUdFQEsFQgOXscHzl4OCBX+1BUdFQ5exwgUCGoHBwAAAAYAAAAABKgEqAAPABsAIwA7AEMASwAAADIeAhQOAiIuAjQ+AQQiDgEUHgEyPgE0JiQyFhQGIiY0JDIWFAYjIicHFhUUBiImNTQ2PwImNTQEMhYUBiImNCQyFhQGIiY0Advy3Z9fX5/d8t2gXl6gAcbgv29vv+C/b2/+LS0gIC0gAUwtICAWDg83ETNIMykfegEJ/octICAtIAIdLSAgLSAEqF+f3fLdoF5eoN3y3Z9Xb7/gv29vv+C/BiAtISEtICAtIQqRFxwkMzMkIDEFfgEODhekIC0gIC0gIC0gIC0AAf/YAFoEuQS8AFsAACUBNjc2JicmIyIOAwcABw4EFx4BMzI3ATYnLgEjIgcGBwEOASY0NwA3PgEzMhceARcWBgcOBgcGIyImJyY2NwE2NzYzMhceARcWBgcBDgEnLgECIgHVWwgHdl8WGSJBMD8hIP6IDx4eLRMNBQlZN0ozAiQkEAcdEhoYDRr+qw8pHA4BRyIjQS4ODyw9DQ4YIwwod26La1YOOEBGdiIwGkQB/0coW2tQSE5nDxE4Qv4eDyoQEAOtAdZbZWKbEQQUGjIhH/6JDxsdNSg3HT5CMwIkJCcQFBcMGv6uDwEcKQ4BTSIjIQEINykvYyMLKnhuiWZMBxtAOU6+RAH/SBg3ISSGV121Qv4kDwIPDyYAAAACAGQAWASvBEQAGQBEAAABPgIeAhUUDgMHLgQ1ND4CHgEFIg4DIi4DIyIGFRQeAhcWFx4EMj4DNzY3PgQ1NCYCiTB7eHVYNkN5hKg+PqeFeEM4WnZ4eQEjIT8yLSohJyktPyJDbxtBMjMPBw86KzEhDSIzKUAMBAgrKT8dF2oDtURIBS1TdkA5eYB/slVVsn+AeTlAdlMtBUgtJjY1JiY1NiZvTRc4SjQxDwcOPCouGBgwKEALBAkpKkQqMhNPbQACADn/8gR3BL4AFwAuAAAAMh8BFhUUBg8BJi8BNycBFwcvASY0NwEDNxYfARYUBwEGIi8BJjQ/ARYfAQcXAQKru0KNQjgiHR8uEl/3/nvUaRONQkIBGxJpCgmNQkL+5UK6Qo1CQjcdLhJf9wGFBL5CjUJeKmsiHTUuEl/4/nvUahKNQrpCARv+RmkICY1CukL+5UJCjUK7Qjc3LxFf+AGFAAAAAAMAyAAAA+gEsAARABUAHQAAADIeAhURFAYjISImNRE0PgEHESERACIGFBYyNjQCBqqaZDo7Kf2oKTs8Zj4CWP7/Vj09Vj0EsB4uMhX8Ryk7OykDuRUzLar9RAK8/RY9Vj09VgABAAAAAASwBLAAFgAACQEWFAYiLwEBEScBBRMBJyEBJyY0NjIDhgEbDx0qDiT+6dT+zP7oywEz0gEsAQsjDx0qBKH+5g8qHQ8j/vX+1NL+zcsBGAE01AEXJA4qHQAAAAADAScAEQQJBOAAMgBAAEsAAAEVHgQXIy4DJxEXHgQVFAYHFSM1JicuASczHgEXEScuBDU0PgI3NRkBDgMVFB4DFxYXET4ENC4CArwmRVI8LAKfBA0dMydAIjxQNyiym2SWVygZA4sFV0obLkJOMCAyVWg6HSoqFQ4TJhkZCWgWKTEiGBkzNwTgTgUTLD9pQiQuLBsH/s0NBxMtPGQ+i6oMTU8QVyhrVk1iEAFPCA4ZLzlYNkZwSCoGTf4SARIEDh02Jh0rGRQIBgPQ/soCCRYgNEM0JRkAAAABAGQAZgOUBK0ASgAAATIeARUjNC4CIyIGBwYVFB4BFxYXMxUjFgYHBgc+ATM2FjMyNxcOAyMiLgEHDgEPASc+BTc+AScjNTMmJy4CPgE3NgIxVJlemSc8OxolVBQpGxoYBgPxxQgVFS02ImIWIIwiUzUyHzY4HCAXanQmJ1YYFzcEGAcTDBEJMAwk3aYXFQcKAg4tJGEErVCLTig/IhIdFSw5GkowKgkFZDKCHj4yCg8BIh6TExcIASIfBAMaDAuRAxAFDQsRCjePR2QvORQrREFMIVgAAAACABn//wSXBLAADwAfAAABMzIWDwEGIi8BJjY7AREzBRcWBisBESMRIyImPwE2MgGQlhUIDuYOKg7mDggVlsgCF+YOCBWWyJYVCA7mDioBLBYO+g8P+g4WA4QQ+Q4V/HwDhBUO+Q8AAAQAGf//A+gEsAAHABcAGwAlAAABIzUjFSMRIQEzMhYPAQYiLwEmNjsBETMFFTM1EwczFSE1NyM1IQPoZGRkASz9qJYVCA7mDioO5g4IFZbIAZFkY8jI/tTIyAEsArxkZAH0/HwWDvoPD/oOFgOEZMjI/RL6ZJb6ZAAAAAAEABn//wPoBLAADwAZACEAJQAAATMyFg8BBiIvASY2OwERMwUHMxUhNTcjNSERIzUjFSMRIQcVMzUBkJYVCA7mDioO5g4IFZbIAljIyP7UyMgBLGRkZAEsx2QBLBYO+g8P+g4WA4SW+mSW+mT7UGRkAfRkyMgAAAAEABn//wRMBLAADwAVABsAHwAAATMyFg8BBiIvASY2OwERMwEjESM1MxMjNSMRIQcVMzUBkJYVCA7mDioO5g4IFZbIAlhkZMhkZMgBLMdkASwWDvoPD/oOFgOE/gwBkGT7UGQBkGTIyAAAAAAEABn//wRMBLAADwAVABkAHwAAATMyFg8BBiIvASY2OwERMwEjNSMRIQcVMzUDIxEjNTMBkJYVCA7mDioO5g4IFZbIArxkyAEsx2QBZGTIASwWDvoPD/oOFgOE/gxkAZBkyMj7tAGQZAAAAAAFABn//wSwBLAADwATABcAGwAfAAABMzIWDwEGIi8BJjY7AREzBSM1MxMhNSETITUhEyE1IQGQlhUIDuYOKg7mDggVlsgB9MjIZP7UASxk/nABkGT+DAH0ASwWDvoPD/oOFgOEyMj+DMj+DMj+DMgABQAZ//8EsASwAA8AEwAXABsAHwAAATMyFg8BBiIvASY2OwERMwUhNSEDITUhAyE1IQMjNTMBkJYVCA7mDioO5g4IFZbIAyD+DAH0ZP5wAZBk/tQBLGTIyAEsFg76Dw/6DhYDhMjI/gzI/gzI/gzIAAIAAAAABEwETAAPAB8AAAEhMhYVERQGIyEiJjURNDYFISIGFREUFjMhMjY1ETQmAV4BkKK8u6P+cKW5uQJn/gwpOzspAfQpOzsETLuj/nClubmlAZClucg7Kf4MKTs7KQH0KTsAAAAAAwAAAAAETARMAA8AHwArAAABITIWFREUBiMhIiY1ETQ2BSEiBhURFBYzITI2NRE0JgUXFhQPAQYmNRE0NgFeAZClubml/nCju7wCZP4MKTs7KQH0KTs7/m/9ERH9EBgYBEy5pf5wpbm5pQGQo7vIOyn+DCk7OykB9Ck7gr4MJAy+DAsVAZAVCwAAAAADAAAAAARMBEwADwAfACsAAAEhMhYVERQGIyEiJjURNDYFISIGFREUFjMhMjY1ETQmBSEyFg8BBiIvASY2AV4BkKO7uaX+cKW5uQJn/gwpOzspAfQpOzv+FQGQFQsMvgwkDL4MCwRMvKL+cKW5uaUBkKO7yDsp/gwpOzspAfQpO8gYEP0REf0QGAAAAAMAAAAABEwETAAPAB8AKwAAASEyFhURFAYjISImNRE0NgUhIgYVERQWMyEyNjURNCYFFxYGIyEiJj8BNjIBXgGQpbm5pf5wo7u5Amf+DCk7OykB9Ck7O/77vgwLFf5wFQsMvgwkBEy5pf5wo7u8ogGQpbnIOyn+DCk7OykB9Ck7z/0QGBgQ/REAAAAAAgAAAAAFFARMAB8ANQAAASEyFhURFAYjISImPQE0NjMhMjY1ETQmIyEiJj0BNDYHARYUBwEGJj0BIyImPQE0NjsBNTQ2AiYBkKW5uaX+cBUdHRUBwik7Oyn+PhUdHb8BRBAQ/rwQFvoVHR0V+hYETLml/nCluR0VZBUdOykB9Ck7HRVkFR3p/uQOJg7+5A4KFZYdFcgVHZYVCgAAAQDZAAID1wSeACMAAAEXFgcGAgclMhYHIggBBwYrAScmNz4BPwEhIicmNzYANjc2MwMZCQgDA5gCASwYEQ4B/vf+8wQMDgkJCQUCUCcn/tIXCAoQSwENuwUJEASeCQoRC/5TBwEjEv7K/sUFDwgLFQnlbm4TFRRWAS/TBhAAAAACAAAAAAT+BEwAHwA1AAABITIWHQEUBiMhIgYVERQWMyEyFh0BFAYjISImNRE0NgUBFhQHAQYmPQEjIiY9ATQ2OwE1NDYBXgGQFR0dFf4+KTs7KQHCFR0dFf5wpbm5AvEBRBAQ/rwQFvoVHR0V+hYETB0VZBUdOyn+DCk7HRVkFR25pQGQpbnp/uQOJg7+5A4KFZYdFcgVHZYVCgACAAAAAASwBLAAFQAxAAABITIWFREUBi8BAQYiLwEmNDcBJyY2ASMiBhURFBYzITI2PQE3ERQGIyEiJjURNDYzIQLuAZAVHRUObf7IDykPjQ8PAThtDgj+75wpOzspAfQpO8i7o/5wpbm5pQEsBLAdFf5wFQgObf7IDw+NDykPAThtDhX+1Dsp/gwpOzsplMj+1qW5uaUBkKW5AAADAA4ADgSiBKIADwAbACMAAAAyHgIUDgIiLgI0PgEEIg4BFB4BMj4BNCYEMhYUBiImNAHh7tmdXV2d2e7ZnV1dnQHD5sJxccLmwnFx/nugcnKgcgSiXZ3Z7tmdXV2d2e7ZnUdxwubCcXHC5sJzcqBycqAAAAMAAAAABEwEsAAVAB8AIwAAATMyFhURMzIWBwEGIicBJjY7ARE0NgEhMhYdASE1NDYFFTM1AcLIFR31FAoO/oEOJw3+hQ0JFfod/oUD6BUd+7QdA2dkBLAdFf6iFg/+Vg8PAaoPFgFeFR38fB0V+voVHWQyMgAAAAMAAAAABEwErAAVAB8AIwAACQEWBisBFRQGKwEiJj0BIyImNwE+AQEhMhYdASE1NDYFFTM1AkcBeg4KFfQiFsgUGPoUCw4Bfw4n/fkD6BUd+7QdA2dkBJ7+TQ8g+hQeHRX6IQ8BrxAC/H8dFfr6FR1kMjIAAwAAAAAETARLABQAHgAiAAAJATYyHwEWFAcBBiInASY0PwE2MhcDITIWHQEhNTQ2BRUzNQGMAXEHFQeLBwf98wcVB/7cBweLCBUH1APoFR37tB0DZ2QC0wFxBweLCBUH/fMICAEjCBQIiwcH/dIdFfr6FR1kMjIABAAAAAAETASbAAkAGQAjACcAABM3NjIfAQcnJjQFNzYWFQMOASMFIiY/ASc3ASEyFh0BITU0NgUVMzWHjg4qDk3UTQ4CFtIOFQIBHRX9qxUIDtCa1P49A+gVHfu0HQNnZAP/jg4OTdRMDyqa0g4IFf2pFB4BFQ7Qm9T9Oh0V+voVHWQyMgAAAAQAAAAABEwEsAAPABkAIwAnAAABBR4BFRMUBi8BByc3JyY2EwcGIi8BJjQ/AQEhMhYdASE1NDYFFTM1AV4CVxQeARUO0JvUm9IOCMNMDyoOjg4OTf76A+gVHfu0HQNnZASwAgEdFf2rFQgO0JrUmtIOFf1QTQ4Ojg4qDk3+WB0V+voVHWQyMgACAAT/7ASwBK8ABQAIAAAlCQERIQkBFQEEsP4d/sb+cQSs/TMCq2cBFP5xAacDHPz55gO5AAAAAAIAAABkBEwEsAAVABkAAAERFAYrAREhESMiJjURNDY7AREhETMHIzUzBEwdFZb9RJYVHR0V+gH0ZMhkZAPo/K4VHQGQ/nAdFQPoFB7+1AEsyMgAAAMAAABFBN0EsAAWABoALwAAAQcBJyYiDwEhESMiJjURNDY7AREhETMHIzUzARcWFAcBBiIvASY0PwE2Mh8BATYyBEwC/tVfCRkJlf7IlhUdHRX6AfRkyGRkAbBqBwf+XAgUCMoICGoHFQdPASkHFQPolf7VXwkJk/5wHRUD6BQe/tQBLMjI/c5qBxUH/lsHB8sHFQdqCAhPASkHAAMAAAANBQcEsAAWABoAPgAAAREHJy4BBwEhESMiJjURNDY7AREhETMHIzUzARcWFA8BFxYUDwEGIi8BBwYiLwEmND8BJyY0PwE2Mh8BNzYyBExnhg8lEP72/reWFR0dFfoB9GTIZGQB9kYPD4ODDw9GDykPg4MPKQ9GDw+Dgw8PRg8pD4ODDykD6P7zZ4YPAw7+9v5wHRUD6BQe/tQBLMjI/YxGDykPg4MPKQ9GDw+Dgw8PRg8pD4ODDykPRg8Pg4MPAAADAAAAFQSXBLAAFQAZAC8AAAERISIGHQEhESMiJjURNDY7AREhETMHIzUzEzMyFh0BMzIWDwEGIi8BJjY7ATU0NgRM/qIVHf4MlhUdHRX6AfRkyGRklmQVHZYVCA7mDioO5g4IFZYdA+j+1B0Vlv5wHRUD6BQe/tQBLMjI/agdFfoVDuYODuYOFfoVHQAAAAADAAAAAASXBLAAFQAZAC8AAAERJyYiBwEhESMiJjURNDY7AREhETMHIzUzExcWBisBFRQGKwEiJj0BIyImPwE2MgRMpQ4qDv75/m6WFR0dFfoB9GTIZGTr5g4IFZYdFWQVHZYVCA7mDioD6P5wpQ8P/vf+cB0VA+gUHv7UASzIyP2F5Q8V+hQeHhT6FQ/lDwADAAAAyASwBEwACQATABcAABMhMhYdASE1NDYBERQGIyEiJjURExUhNTIETBUd+1AdBJMdFfu0FR1kAZAETB0VlpYVHf7U/doVHR0VAib+1MjIAAAGAAMAfQStBJcADwAZAB0ALQAxADsAAAEXFhQPAQYmPQEhNSE1NDYBIyImPQE0NjsBFyM1MwE3NhYdASEVIRUUBi8BJjQFIzU7AjIWHQEUBisBA6f4Dg74DhX+cAGQFf0vMhUdHRUyyGRk/oL3DhUBkP5wFQ73DwOBZGRkMxQdHRQzBI3mDioO5g4IFZbIlhUI/oUdFWQVHcjI/cvmDggVlsiWFQgO5g4qecgdFWQVHQAAAAACAGQAAASwBLAAFgBRAAABJTYWFREUBisBIiY1ES4ENRE0NiUyFh8BERQOAg8BERQGKwEiJjURLgQ1ETQ+AzMyFh8BETMRPAE+AjMyFh8BETMRND4DA14BFBklHRXIFR0EDiIaFiX+4RYZAgEVHR0LCh0VyBUdBA4iGhYBBwoTDRQZAgNkBQkVDxcZAQFkAQUJFQQxdBIUH/uuFR0dFQGNAQgbHzUeAWcfRJEZDA3+Phw/MSkLC/5BFR0dFQG/BA8uLkAcAcICBxENCxkMDf6iAV4CBxENCxkMDf6iAV4CBxENCwABAGQAAASwBEwAMwAAARUiDgMVERQWHwEVITUyNjURIREUFjMVITUyPgM1ETQmLwE1IRUiBhURIRE0JiM1BLAEDiIaFjIZGf5wSxn+DBlL/nAEDiIaFjIZGQGQSxkB9BlLBEw4AQUKFA78iBYZAQI4OA0lAYr+diUNODgBBQoUDgN4FhkBAjg4DSX+dgGKJQ04AAAABgAAAAAETARMAAwAHAAgACQAKAA0AAABITIWHQEjBTUnITchBSEyFhURFAYjISImNRE0NhcVITUBBTUlBRUhNQUVFAYjIQchJyE3MwKjAXcVHWn+2cj+cGQBd/4lASwpOzsp/tQpOzspASwCvP5wAZD8GAEsArwdFf6JZP6JZAGQyGkD6B0VlmJiyGTIOyn+DCk7OykB9Ck7ZMjI/veFo4XGyMhm+BUdZGTIAAEAEAAQBJ8EnwAmAAATNzYWHwEWBg8BHgEXNz4BHwEeAQ8BBiIuBicuBTcRohEuDosOBhF3ZvyNdxEzE8ATBxGjAw0uMUxPZWZ4O0p3RjITCwED76IRBhPCFDERdo78ZXYRBA6IDi8RogEECBUgNUNjO0qZfHNVQBAAAAACAAAAAASwBEwAIwBBAAAAMh4EHwEVFAYvAS4BPQEmIAcVFAYPAQYmPQE+BRIyHgIfARUBHgEdARQGIyEiJj0BNDY3ATU0PgIB/LimdWQ/LAkJHRTKFB2N/sKNHRTKFB0DDTE7ZnTKcFImFgEBAW0OFR0V+7QVHRUOAW0CFiYETBUhKCgiCgrIFRgDIgMiFZIYGJIVIgMiAxgVyAQNJyQrIP7kExwcCgoy/tEPMhTUFR0dFdQUMg8BLzIEDSEZAAADAAAAAASwBLAADQAdACcAAAEHIScRMxUzNTMVMzUzASEyFhQGKwEXITcjIiY0NgMhMhYdASE1NDYETMj9qMjIyMjIyPyuArwVHR0VDIn8SokMFR0dswRMFR37UB0CvMjIAfTIyMjI/OAdKh1kZB0qHf7UHRUyMhUdAAAAAwBkAAAEsARMAAkAEwAdAAABIyIGFREhETQmASMiBhURIRE0JgEhETQ2OwEyFhUCvGQpOwEsOwFnZCk7ASw7/Rv+1DspZCk7BEw7KfwYA+gpO/7UOyn9RAK8KTv84AGQKTs7KQAAAAAF/5wAAASwBEwADwATAB8AJQApAAATITIWFREUBiMhIiY1ETQ2FxEhEQUjFTMRITUzNSMRIQURByMRMwcRMxHIArx8sLB8/UR8sLAYA4T+DMjI/tTIyAEsAZBkyMhkZARMsHz+DHywsHwB9HywyP1EArzIZP7UZGQBLGT+1GQB9GT+1AEsAAAABf+cAAAEsARMAA8AEwAfACUAKQAAEyEyFhURFAYjISImNRE0NhcRIREBIzUjFSMRMxUzNTMFEQcjETMHETMRyAK8fLCwfP1EfLCwGAOE/gxkZGRkZGQBkGTIyGRkBEywfP4MfLCwfAH0fLDI/UQCvP2oyMgB9MjIZP7UZAH0ZP7UASwABP+cAAAEsARMAA8AEwAbACMAABMhMhYVERQGIyEiJjURNDYXESERBSMRMxUhESEFIxEzFSERIcgCvHywsHz9RHywsBgDhP4MyMj+1AEsAZDIyP7UASwETLB8/gx8sLB8AfR8sMj9RAK8yP7UZAH0ZP7UZAH0AAAABP+cAAAEsARMAA8AEwAWABkAABMhMhYVERQGIyEiJjURNDYXESERAS0BDQERyAK8fLCwfP1EfLCwGAOE/gz+1AEsAZD+1ARMsHz+DHywsHwB9HywyP1EArz+DJaWlpYBLAAAAAX/nAAABLAETAAPABMAFwAgACkAABMhMhYVERQGIyEiJjURNDYXESERAyERIQcjIgYVFBY7AQERMzI2NTQmI8gCvHywsHz9RHywsBgDhGT9RAK8ZIImOTYpgv4Mgik2OSYETLB8/gx8sLB8AfR8sMj9RAK8/agB9GRWQUFUASz+1FRBQVYAAAAF/5wAAASwBEwADwATAB8AJQApAAATITIWFREUBiMhIiY1ETQ2FxEhEQUjFTMRITUzNSMRIQEjESM1MwMjNTPIArx8sLB8/UR8sLAYA4T+DMjI/tTIyAEsAZBkZMjIZGQETLB8/gx8sLB8AfR8sMj9RAK8yGT+1GRkASz+DAGQZP4MZAAG/5wAAASwBEwADwATABkAHwAjACcAABMhMhYVERQGIyEiJjURNDYXESERBTMRIREzASMRIzUzBRUzNQEjNTPIArx8sLB8/UR8sLAYA4T9RMj+1GQCWGRkyP2oZAEsZGQETLB8/gx8sLB8AfR8sMj9RAK8yP5wAfT+DAGQZMjIyP7UZAAF/5wAAASwBEwADwATABwAIgAmAAATITIWFREUBiMhIiY1ETQ2FxEhEQEHIzU3NSM1IQEjESM1MwMjNTPIArx8sLB8/UR8sLAYA4T+DMdkx8gBLAGQZGTIx2RkBEywfP4MfLCwfAH0fLDI/UQCvP5wyDLIlmT+DAGQZP4MZAAAAAMACQAJBKcEpwAPABsAJQAAADIeAhQOAiIuAjQ+AQQiDgEUHgEyPgE0JgchFSEVISc1NyEB4PDbnl5entvw255eXp4BxeTCcXHC5MJxcWz+1AEs/tRkZAEsBKdentvw255eXp7b8NueTHHC5MJxccLkwtDIZGTIZAAAAAAEAAkACQSnBKcADwAbACcAKwAAADIeAhQOAiIuAjQ+AQQiDgEUHgEyPgE0JgcVBxcVIycjFSMRIQcVMzUB4PDbnl5entvw255eXp4BxeTCcXHC5MJxcWwyZGRklmQBLMjIBKdentvw255eXp7b8NueTHHC5MJxccLkwtBkMmQyZGQBkGRkZAAAAv/y/50EwgRBACAANgAAATIWFzYzMhYUBisBNTQmIyEiBh0BIyImNTQ2NyY1ND4BEzMyFhURMzIWDwEGIi8BJjY7ARE0NgH3brUsLC54qqp4gB0V/tQVHd5QcFZBAmKqepYKD4kVCg3fDSYN3w0KFYkPBEF3YQ6t8a36FR0dFfpzT0VrDhMSZKpi/bMPCv7tFxD0EBD0EBcBEwoPAAAAAAL/8v+cBMMEQQAcADMAAAEyFhc2MzIWFxQGBwEmIgcBIyImNTQ2NyY1ND4BExcWBisBERQGKwEiJjURIyImNzY3NjIB9m62LCsueaoBeFr+hg0lDf6DCU9xVkECYqnm3w0KFYkPCpYKD4kVCg3HGBMZBEF3YQ+teGOkHAFoEBD+k3NPRWsOExNkqWP9kuQQF/7tCg8PCgETFxDMGBMAAAABAGQAAARMBG0AGAAAJTUhATMBMwkBMwEzASEVIyIGHQEhNTQmIwK8AZD+8qr+8qr+1P7Uqv7yqv7yAZAyFR0BkB0VZGQBLAEsAU3+s/7U/tRkHRUyMhUdAAAAAAEAeQAABDcEmwAvAAABMhYXHgEVFAYHFhUUBiMiJxUyFh0BITU0NjM1BiMiJjU0Ny4BNTQ2MzIXNCY1NDYCWF6TGll7OzIJaUo3LRUd/tQdFS03SmkELzlpSgUSAqMEm3FZBoNaPWcfHRpKaR77HRUyMhUd+x5pShIUFVg1SmkCAhAFdKMAAAAGACcAFASJBJwAEQAqAEIASgBiAHsAAAEWEgIHDgEiJicmAhI3PgEyFgUiBw4BBwYWHwEWMzI3Njc2Nz4BLwEmJyYXIgcOAQcGFh8BFjMyNz4BNz4BLwEmJyYWJiIGFBYyNjciBw4BBw4BHwEWFxYzMjc+ATc2Ji8BJhciBwYHBgcOAR8BFhcWMzI3PgE3NiYvASYD8m9PT29T2dzZU29PT29T2dzZ/j0EBHmxIgQNDCQDBBcGG0dGYAsNAwkDCwccBAVQdRgEDA0iBAQWBhJROQwMAwkDCwf5Y4xjY4xjVhYGElE6CwwDCQMLBwgEBVB1GAQNDCIEjRcGG0dGYAsNAwkDCwcIBAR5sSIEDQwkAwPyb/7V/tVvU1dXU28BKwErb1NXVxwBIrF5DBYDCQEWYEZHGwMVDCMNBgSRAhh1UA0WAwkBFTpREgMVCyMMBwT6Y2OMY2MVFTpREQQVCyMMBwQCGHVQDRYDCQEkFmBGRxsDFQwjDQYEASKxeQwWAwkBAAAABQBkAAAD6ASwAAwADwAWABwAIgAAASERIzUhFSERNDYzIQEjNQMzByczNTMDISImNREFFRQGKwECvAEstP6s/oQPCgI/ASzIZKLU1KJktP51Cg8DhA8KwwMg/oTIyALzCg/+1Mj84NTUyP4MDwoBi8jDCg8AAAAABQBkAAAD6ASwAAkADAATABoAIQAAASERCQERNDYzIQEjNRMjFSM1IzcDISImPQEpARUUBisBNQK8ASz+ov3aDwoCPwEsyD6iZKLUqv6dCg8BfAIIDwqbAyD9+AFe/doERwoP/tTI/HzIyNT+ZA8KNzcKD1AAAAAAAwAAAAAEsAP0AAgAGQAfAAABIxUzFyERIzcFMzIeAhUhFSEDETM0PgIBMwMhASEEiqJkZP7UotT9EsgbGiEOASz9qMhkDiEaAnPw8PzgASwB9AMgyGQBLNTUBBErJGT+ogHCJCsRBP5w/nAB9AAAAAMAAAAABEwETAAZADIAOQAAATMyFh0BMzIWHQEUBiMhIiY9ATQ2OwE1NDYFNTIWFREUBiMhIic3ARE0NjMVFBYzITI2AQc1IzUzNQKKZBUdMhUdHRX+1BUdHRUyHQFzKTs7Kf2oARP2/ro7KVg+ASw+WP201MjIBEwdFTIdFWQVHR0VZBUdMhUd+pY7KfzgKTsE9gFGAUQpO5Y+WFj95tSiZKIAAwBkAAAEvARMABkANgA9AAABMzIWHQEzMhYdARQGIyEiJj0BNDY7ATU0NgU1MhYVESMRMxQOAiMhIiY1ETQ2MxUUFjMhMjYBBzUjNTM1AcJkFR0yFR0dFf7UFR0dFTIdAXMpO8jIDiEaG/2oKTs7KVg+ASw+WAGc1MjIBEwdFTIdFWQVHR0VZBUdMhUd+pY7Kf4M/tQkKxEEOykDICk7lj5YWP3m1KJkogAAAAP/ogAABRYE1AALABsAHwAACQEWBiMhIiY3ATYyEyMiBhcTHgE7ATI2NxM2JgMVMzUCkgJ9FyAs+wQsIBcCfRZARNAUGAQ6BCMUNhQjBDoEGODIBK37sCY3NyYEUCf+TB0U/tIUHR0UAS4UHf4MZGQAAAAACQAAAAAETARMAA8AHwAvAD8ATwBfAG8AfwCPAAABMzIWHQEUBisBIiY9ATQ2EzMyFh0BFAYrASImPQE0NiEzMhYdARQGKwEiJj0BNDYBMzIWHQEUBisBIiY9ATQ2ITMyFh0BFAYrASImPQE0NiEzMhYdARQGKwEiJj0BNDYBMzIWHQEUBisBIiY9ATQ2ITMyFh0BFAYrASImPQE0NiEzMhYdARQGKwEiJj0BNDYBqfoKDw8K+goPDwr6Cg8PCvoKDw8BmvoKDw8K+goPD/zq+goPDwr6Cg8PAZr6Cg8PCvoKDw8BmvoKDw8K+goPD/zq+goPDwr6Cg8PAZr6Cg8PCvoKDw8BmvoKDw8K+goPDwRMDwqWCg8PCpYKD/7UDwqWCg8PCpYKDw8KlgoPDwqWCg/+1A8KlgoPDwqWCg8PCpYKDw8KlgoPDwqWCg8PCpYKD/7UDwqWCg8PCpYKDw8KlgoPDwqWCg8PCpYKDw8KlgoPAAAAAwAAAAAEsAUUABkAKQAzAAABMxUjFSEyFg8BBgchJi8BJjYzITUjNTM1MwEhMhYUBisBFyE3IyImNDYDITIWHQEhNTQ2ArxkZAFePjEcQiko/PwoKUIcMT4BXmRkyP4+ArwVHR0VDIn8SooNFR0dswRMFR37UB0EsMhkTzeEUzMzU4Q3T2TIZPx8HSodZGQdKh3+1B0VMjIVHQAABAAAAAAEsAUUAAUAGQArADUAAAAyFhUjNAchFhUUByEyFg8BIScmNjMhJjU0AyEyFhQGKwEVBSElNSMiJjQ2AyEyFh0BITU0NgIwUDnCPAE6EgMBSCkHIq/9WrIiCikBSAOvArwVHR0VlgET/EoBE5YVHR2zBEwVHftQHQUUOykpjSUmCBEhFpGRFiERCCb+lR0qHcjIyMgdKh39qB0VMjIVHQAEAAAAAASwBJ0ABwAUACQALgAAADIWFAYiJjQTMzIWFRQXITY1NDYzASEyFhQGKwEXITcjIiY0NgMhMhYdASE1NDYCDZZqapZqty4iKyf+vCcrI/7NArwVHR0VDYr8SokMFR0dswRMFR37UB0EnWqWamqW/us5Okxra0w6Of5yHSodZGQdKh3+1B0VMjIVHQAEAAAAAASwBRQADwAcACwANgAAATIeARUUBiImNTQ3FzcnNhMzMhYVFBchNjU0NjMBITIWFAYrARchNyMiJjQ2AyEyFh0BITU0NgJYL1szb5xvIpBvoyIfLiIrJ/68Jysj/s0CvBUdHRUNivxKiQwVHR2zBEwVHftQHQUUa4s2Tm9vTj5Rj2+jGv4KOTpMa2tMOjn+ch0qHWRkHSod/tQdFTIyFR0AAAADAAAAAASwBRIAEgAiACwAAAEFFSEUHgMXIS4BNTQ+AjcBITIWFAYrARchNyMiJjQ2AyEyFh0BITU0NgJYASz+1CU/P00T/e48PUJtj0r+ogK8FR0dFQ2K/EqJDBUdHbMETBUd+1AdBLChizlmUT9IGVO9VFShdksE/H4dKh1kZB0qHf7UHRUyMhUdAAIAyAAAA+gFFAAPACkAAAAyFh0BHgEdASE1NDY3NTQDITIWFyMVMxUjFTMVIxUzFAYjISImNRE0NgIvUjsuNv5wNi5kAZA2XBqsyMjIyMh1U/5wU3V1BRQ7KU4aXDYyMjZcGk4p/kc2LmRkZGRkU3V1UwGQU3UAAAMAZP//BEwETAAPAC8AMwAAEyEyFhURFAYjISImNRE0NgMhMhYdARQGIyEXFhQGIi8BIQcGIiY0PwEhIiY9ATQ2BQchJ5YDhBUdHRX8fBUdHQQDtgoPDwr+5eANGiUNWP30Vw0mGg3g/t8KDw8BqmQBRGQETB0V/gwVHR0VAfQVHf1EDwoyCg/gDSUbDVhYDRslDeAPCjIKD2RkZAAAAAAEAAAAAASwBEwAGQAjAC0ANwAAEyEyFh0BIzQmKwEiBhUjNCYrASIGFSM1NDYDITIWFREhETQ2ExUUBisBIiY9ASEVFAYrASImPQHIAyBTdWQ7KfopO2Q7KfopO2R1EQPoKTv7UDvxHRVkFR0D6B0VZBUdBEx1U8gpOzspKTs7KchTdf4MOyn+1AEsKTv+DDIVHR0VMjIVHR0VMgADAAEAAASpBKwADQARABsAAAkBFhQPASEBJjQ3ATYyCQMDITIWHQEhNTQ2AeACqh8fg/4f/fsgIAEnH1n+rAFWAS/+q6IDIBUd/HwdBI39VR9ZH4MCBh9ZHwEoH/5u/qoBMAFV/BsdFTIyFR0AAAAAAgCPAAAEIQSwABcALwAAAQMuASMhIgYHAwYWMyEVFBYyNj0BMzI2AyE1NDY7ATU0NjsBETMRMzIWHQEzMhYVBCG9CCcV/nAVJwi9CBMVAnEdKh19FROo/a0dFTIdFTDILxUdMhUdAocB+hMcHBP+BhMclhUdHRWWHP2MMhUdMhUdASz+1B0VMh0VAAAEAAAAAASwBLAADQAQAB8AIgAAASERFAYjIREBNTQ2MyEBIzUBIREUBiMhIiY1ETQ2MyEBIzUDhAEsDwr+if7UDwoBdwEsyP2oASwPCv12Cg8PCgF3ASzIAyD9wQoPAk8BLFQKD/7UyP4M/cEKDw8KA7YKD/7UyAAC/5wAZAUUBEcARgBWAAABMzIeAhcWFxY2NzYnJjc+ARYXFgcOASsBDgEPAQ4BKwEiJj8BBisBIicHDgErASImPwEmLwEuAT0BNDY7ATY3JyY2OwE2BSMiBh0BFBY7ATI2PQE0JgHkw0uOakkMEhEfQwoKGRMKBQ8XDCkCA1Y9Pgc4HCcDIhVkFRgDDDEqwxgpCwMiFWQVGAMaVCyfExwdFXwLLW8QBxXLdAFF+goPDwr6Cg8PBEdBa4pJDgYKISAiJRsQCAYIDCw9P1c3fCbqFB0dFEYOCEAUHR0UnUplNQcmFTIVHVdPXw4TZV8PCjIKDw8KMgoPAAb/nP/mBRQEfgAJACQANAA8AFIAYgAAASU2Fh8BFgYPASUzMhYfASEyFh0BFAYHBQYmJyYjISImPQE0NhcjIgYdARQ7ATI2NTQmJyYEIgYUFjI2NAE3PgEeARceAT8BFxYGDwEGJi8BJjYlBwYfAR4BPwE2Jy4BJy4BAoEBpxMuDiAOAxCL/CtqQ0geZgM3FR0cE/0fFyIJKjr+1D5YWLlQExIqhhALIAsSAYBALS1ALf4PmBIgHhMQHC0aPzANITNQL3wpgigJASlmHyElDR0RPRMFAhQHCxADhPcICxAmDyoNeMgiNtQdFTIVJgeEBBQPQ1g+yD5YrBwVODMQEAtEERzJLUAtLUD+24ITChESEyMgAwWzPUkrRSgJL5cvfRxYGyYrDwkLNRAhFEgJDAQAAAAAAwBkAAAEOQSwAFEAYABvAAABMzIWHQEeARcWDgIPATIeBRUUDgUjFRQGKwEiJj0BIxUUBisBIiY9ASMiJj0BNDY7AREjIiY9ATQ2OwE1NDY7ATIWHQEzNTQ2AxUhMj4CNTc0LgMjARUhMj4CNTc0LgMjAnGWCg9PaAEBIC4uEBEGEjQwOiodFyI2LUAjGg8KlgoPZA8KlgoPrwoPDwpLSwoPDwqvDwqWCg9kD9cBBxwpEwsBAQsTKRz++QFrHCkTCwEBCxMpHASwDwptIW1KLk0tHwYGAw8UKDJOLTtdPCoVCwJLCg8PCktLCg8PCksPCpYKDwJYDwqWCg9LCg8PCktLCg/+1MgVHR0LCgQOIhoW/nDIFR0dCwoEDiIaFgAAAwAEAAIEsASuABcAKQAsAAATITIWFREUBg8BDgEjISImJy4CNRE0NgQiDgQPARchNy4FAyMT1AMMVnokEhIdgVL9xFKCHAgYKHoCIIx9VkcrHQYGnAIwnAIIIClJVSGdwwSuelb+YDO3QkJXd3ZYHFrFMwGgVnqZFyYtLSUMDPPzBQ8sKDEj/sIBBQACAMgAAAOEBRQADwAZAAABMzIWFREUBiMhIiY1ETQ2ARUUBisBIiY9AQHblmesVCn+PilUrAFINhWWFTYFFKxn/gwpVFQpAfRnrPwY4RU2NhXhAAACAMgAAAOEBRQADwAZAAABMxQWMxEUBiMhIiY1ETQ2ARUUBisBIiY9AQHbYLOWVCn+PilUrAFINhWWFTYFFJaz/kIpVFQpAfRnrPwY4RU2NhXhAAACAAAAFAUOBBoAFAAaAAAJASUHFRcVJwc1NzU0Jj4CPwEnCQEFJTUFJQUO/YL+hk5klpZkAQEBBQQvkwKCAVz+ov6iAV4BXgL//uWqPOCWx5SVyJb6BA0GCgYDKEEBG/1ipqaTpaUAAAMAZAH0BLADIAAHAA8AFwAAEjIWFAYiJjQkMhYUBiImNCQyFhQGIiY0vHxYWHxYAeh8WFh8WAHofFhYfFgDIFh8WFh8WFh8WFh8WFh8WFh8AAAAAAMBkAAAArwETAAHAA8AFwAAADIWFAYiJjQSMhYUBiImNBIyFhQGIiY0Aeh8WFh8WFh8WFh8WFh8WFh8WARMWHxYWHz+yFh8WFh8/shYfFhYfAAAAAMAZABkBEwETAAPAB8ALwAAEyEyFh0BFAYjISImPQE0NhMhMhYdARQGIyEiJj0BNDYTITIWHQEUBiMhIiY9ATQ2fQO2Cg8PCvxKCg8PCgO2Cg8PCvxKCg8PCgO2Cg8PCvxKCg8PBEwPCpYKDw8KlgoP/nAPCpYKDw8KlgoP/nAPCpYKDw8KlgoPAAAABAAAAAAEsASwAA8AHwAvADMAAAEhMhYVERQGIyEiJjURNDYFISIGFREUFjMhMjY1ETQmBSEyFhURFAYjISImNRE0NhcVITUBXgH0ory7o/4Mpbm5Asv9qCk7OykCWCk7O/2xAfQVHR0V/gwVHR1HAZAEsLuj/gylubmlAfSlucg7Kf2oKTs7KQJYKTtkHRX+1BUdHRUBLBUdZMjIAAAAAAEAZABkBLAETAA7AAATITIWFAYrARUzMhYUBisBFTMyFhQGKwEVMzIWFAYjISImNDY7ATUjIiY0NjsBNSMiJjQ2OwE1IyImNDaWA+gVHR0VMjIVHR0VMjIVHR0VMjIVHR0V/BgVHR0VMjIVHR0VMjIVHR0VMjIVHR0ETB0qHcgdKh3IHSodyB0qHR0qHcgdKh3IHSodyB0qHQAAAAYBLAAFA+gEowAHAA0AEwAZAB8AKgAAAR4BBgcuATYBMhYVIiYlFAYjNDYBMhYVIiYlFAYjNDYDFRQGIiY9ARYzMgKKVz8/V1c/P/75fLB8sAK8sHyw/cB8sHywArywfLCwHSodKAMRBKNDsrJCQrKy/sCwfLB8fLB8sP7UsHywfHywfLD+05AVHR0VjgQAAAH/tQDIBJQDgQBCAAABNzYXAR4BBw4BKwEyFRQOBCsBIhE0NyYiBxYVECsBIi4DNTQzIyImJyY2NwE2HwEeAQ4BLwEHIScHBi4BNgLpRRkUASoLCAYFGg8I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+<style>h1 {font-size: 34px;}
+h1.title {font-size: 38px;}
+h2 {font-size: 30px;}
+h3 {font-size: 24px;}
+h4 {font-size: 18px;}
+h5 {font-size: 16px;}
+h6 {font-size: 12px;}
+code {color: inherit; background-color: rgba(0, 0, 0, 0.04);}
+pre:not([class]) { background-color: white }</style>
+<script>
+
+/**
+ * jQuery Plugin: Sticky Tabs
+ *
+ * @author Aidan Lister <aidan@php.net>
+ * adapted by Ruben Arslan to activate parent tabs too
+ * http://www.aidanlister.com/2014/03/persisting-the-tab-state-in-bootstrap/
+ */
+(function($) {
+  "use strict";
+  $.fn.rmarkdownStickyTabs = function() {
+    var context = this;
+    // Show the tab corresponding with the hash in the URL, or the first tab
+    var showStuffFromHash = function() {
+      var hash = window.location.hash;
+      var selector = hash ? 'a[href="' + hash + '"]' : 'li.active > a';
+      var $selector = $(selector, context);
+      if($selector.data('toggle') === "tab") {
+        $selector.tab('show');
+        // walk up the ancestors of this element, show any hidden tabs
+        $selector.parents('.section.tabset').each(function(i, elm) {
+          var link = $('a[href="#' + $(elm).attr('id') + '"]');
+          if(link.data('toggle') === "tab") {
+            link.tab("show");
+          }
+        });
+      }
+    };
+
+
+    // Set the correct tab when the page loads
+    showStuffFromHash(context);
+
+    // Set the correct tab when a user uses their back/forward button
+    $(window).on('hashchange', function() {
+      showStuffFromHash(context);
+    });
+
+    // Change the URL when tabs are clicked
+    $('a', context).on('click', function(e) {
+      history.pushState(null, null, this.href);
+      showStuffFromHash(context);
+    });
+
+    return this;
+  };
+}(jQuery));
+
+window.buildTabsets = function(tocID) {
+
+  // build a tabset from a section div with the .tabset class
+  function buildTabset(tabset) {
+
+    // check for fade and pills options
+    var fade = tabset.hasClass("tabset-fade");
+    var pills = tabset.hasClass("tabset-pills");
+    var navClass = pills ? "nav-pills" : "nav-tabs";
+
+    // determine the heading level of the tabset and tabs
+    var match = tabset.attr('class').match(/level(\d) /);
+    if (match === null)
+      return;
+    var tabsetLevel = Number(match[1]);
+    var tabLevel = tabsetLevel + 1;
+
+    // find all subheadings immediately below
+    var tabs = tabset.find("div.section.level" + tabLevel);
+    if (!tabs.length)
+      return;
+
+    // create tablist and tab-content elements
+    var tabList = $('<ul class="nav ' + navClass + '" role="tablist"></ul>');
+    $(tabs[0]).before(tabList);
+    var tabContent = $('<div class="tab-content"></div>');
+    $(tabs[0]).before(tabContent);
+
+    // build the tabset
+    var activeTab = 0;
+    tabs.each(function(i) {
+
+      // get the tab div
+      var tab = $(tabs[i]);
+
+      // get the id then sanitize it for use with bootstrap tabs
+      var id = tab.attr('id');
+
+      // see if this is marked as the active tab
+      if (tab.hasClass('active'))
+        activeTab = i;
+
+      // remove any table of contents entries associated with
+      // this ID (since we'll be removing the heading element)
+      $("div#" + tocID + " li a[href='#" + id + "']").parent().remove();
+
+      // sanitize the id for use with bootstrap tabs
+      id = id.replace(/[.\/?&!#<>]/g, '').replace(/\s/g, '_');
+      tab.attr('id', id);
+
+      // get the heading element within it, grab it's text, then remove it
+      var heading = tab.find('h' + tabLevel + ':first');
+      var headingText = heading.html();
+      heading.remove();
+
+      // build and append the tab list item
+      var a = $('<a role="tab" data-toggle="tab">' + headingText + '</a>');
+      a.attr('href', '#' + id);
+      a.attr('aria-controls', id);
+      var li = $('<li role="presentation"></li>');
+      li.append(a);
+      tabList.append(li);
+
+      // set it's attributes
+      tab.attr('role', 'tabpanel');
+      tab.addClass('tab-pane');
+      tab.addClass('tabbed-pane');
+      if (fade)
+        tab.addClass('fade');
+
+      // move it into the tab content div
+      tab.detach().appendTo(tabContent);
+    });
+
+    // set active tab
+    $(tabList.children('li')[activeTab]).addClass('active');
+    var active = $(tabContent.children('div.section')[activeTab]);
+    active.addClass('active');
+    if (fade)
+      active.addClass('in');
+
+    if (tabset.hasClass("tabset-sticky"))
+      tabset.rmarkdownStickyTabs();
+  }
+
+  // convert section divs with the .tabset class to tabsets
+  var tabsets = $("div.section.tabset");
+  tabsets.each(function(i) {
+    buildTabset($(tabsets[i]));
+  });
+};
+
+</script>
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+
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+
+
+
+
+</head>
+
+<body>
+
+
+<div class="container-fluid main-container">
+
+
+
+
+<div id="header">
+
+
+
+<h1 class="title toc-ignore">Combining pages of JSON data with
+jsonlite</h1>
+<h4 class="date">2022-01-16</h4>
+
+</div>
+
+
+<p>The <a href="https://cran.r-project.org/package=jsonlite">jsonlite</a> package
+is a <code>JSON</code> parser/generator for R which is optimized for
+pipelines and web APIs. It is used by the OpenCPU system and many other
+packages to get data in and out of R using the <code>JSON</code>
+format.</p>
+<div id="a-bidirectional-mapping" class="section level2">
+<h2>A bidirectional mapping</h2>
+<p>One of the main strengths of <code>jsonlite</code> is that it
+implements a bidirectional <a href="https://arxiv.org/abs/1403.2805">mapping</a> between JSON and data
+frames. Thereby it can convert nested collections of JSON records, as
+they often appear on the web, immediately into the appropriate R
+structure. For example to grab some data from ProPublica we can simply
+use:</p>
+<pre class="r"><code>library(jsonlite)
+mydata &lt;- fromJSON(&quot;https://projects.propublica.org/forensics/geos.json&quot;, flatten = TRUE)
+View(mydata)</code></pre>
+<p>The <code>mydata</code> object is a data frame which can be used
+directly for modeling or visualization, without the need for any further
+complicated data manipulation.</p>
+</div>
+<div id="paging-with-jsonlite" class="section level2">
+<h2>Paging with jsonlite</h2>
+<p>A question that comes up frequently is how to combine pages of data.
+Most web APIs limit the amount of data that can be retrieved per
+request. If the client needs more data than what can fits in a single
+request, it needs to break down the data into multiple requests that
+each retrieve a fragment (page) of data, not unlike pages in a book. In
+practice this is often implemented using a <code>page</code> parameter
+in the API. Below an example from the <a href="https://projects.propublica.org/nonprofits/api">ProPublica
+Nonprofit Explorer API</a> where we retrieve the first 3 pages of
+tax-exempt organizations in the USA, ordered by revenue:</p>
+<pre class="r"><code>baseurl &lt;- &quot;https://projects.propublica.org/nonprofits/api/v2/search.json?order=revenue&amp;sort_order=desc&quot;
+mydata0 &lt;- fromJSON(paste0(baseurl, &quot;&amp;page=0&quot;), flatten = TRUE)
+mydata1 &lt;- fromJSON(paste0(baseurl, &quot;&amp;page=1&quot;), flatten = TRUE)
+mydata2 &lt;- fromJSON(paste0(baseurl, &quot;&amp;page=2&quot;), flatten = TRUE)
+
+#The actual data is in the organizations element
+mydata0$organizations[1:10, c(&quot;name&quot;, &quot;city&quot;, &quot;strein&quot;)]</code></pre>
+<pre><code>                            name        city     strein
+1           0 DEBT EDUCATION INC  SANTA ROSA 46-4744976
+2                0 TOLERANCE INC     SUWANEE 27-2620044
+3                00 MOVEMENT INC   PENSACOLA 82-4704419
+4                    00006 LOCAL       MEDIA 22-6062777
+5             0003 POSTAL FAMILY  CINCINNATI 31-0240910
+6                        0005 GA   HEPHZIBAH 58-1514574
+7  0005 WRIGHT-PATT CREDIT UNION BEAVERCREEK 31-0278870
+8                        0009 DE   GREENWOOD 26-4507405
+9                0011 CALIFORNIA      REDWAY 36-4654777
+10                   00141 LOCAL       MEDIA 94-0507697</code></pre>
+<p>To analyze or visualize these data, we need to combine the pages into
+a single dataset. We can do this with the <code>rbind_pages</code>
+function. Note that in this example, the actual data is contained by the
+<code>organizations</code> field:</p>
+<pre class="r"><code>#Rows per data frame
+nrow(mydata0$organizations)</code></pre>
+<pre><code>[1] 100</code></pre>
+<pre class="r"><code>#Combine data frames
+organizations &lt;- rbind_pages(
+  list(mydata0$organizations, mydata1$organizations, mydata2$organizations)
+)
+
+#Total number of rows
+nrow(organizations)</code></pre>
+<pre><code>[1] 300</code></pre>
+</div>
+<div id="automatically-combining-many-pages" class="section level2">
+<h2>Automatically combining many pages</h2>
+<p>We can write a simple loop that automatically downloads and combines
+many pages. For example to retrieve the first 20 pages with non-profits
+from the example above:</p>
+<pre class="r"><code>#store all pages in a list first
+baseurl &lt;- &quot;https://projects.propublica.org/nonprofits/api/v2/search.json?order=revenue&amp;sort_order=desc&quot;
+pages &lt;- list()
+for(i in 0:20){
+  mydata &lt;- fromJSON(paste0(baseurl, &quot;&amp;page=&quot;, i))
+  message(&quot;Retrieving page &quot;, i)
+  pages[[i+1]] &lt;- mydata$organizations
+}
+
+#combine all into one
+organizations &lt;- rbind_pages(pages)
+
+#check output
+nrow(organizations)</code></pre>
+<pre><code>[1] 2100</code></pre>
+<pre class="r"><code>colnames(organizations)</code></pre>
+<pre><code> [1] &quot;ein&quot;           &quot;strein&quot;        &quot;name&quot;          &quot;sub_name&quot;      &quot;city&quot;          &quot;state&quot;         &quot;ntee_code&quot;     &quot;raw_ntee_code&quot;
+ [9] &quot;subseccd&quot;      &quot;has_subseccd&quot;  &quot;have_filings&quot;  &quot;have_extracts&quot; &quot;have_pdfs&quot;     &quot;score&quot;        </code></pre>
+<p>From here, we can go straight to analyzing the organizations data
+without any further tedious data manipulation.</p>
+</div>
+
+
+
+
+</div>
+
+<script>
+
+// add bootstrap table styles to pandoc tables
+function bootstrapStylePandocTables() {
+  $('tr.odd').parent('tbody').parent('table').addClass('table table-condensed');
+}
+$(document).ready(function () {
+  bootstrapStylePandocTables();
+});
+
+
+</script>
+
+<!-- tabsets -->
+
+<script>
+$(document).ready(function () {
+  window.buildTabsets("TOC");
+});
+
+$(document).ready(function () {
+  $('.tabset-dropdown > .nav-tabs > li').click(function () {
+    $(this).parent().toggleClass('nav-tabs-open');
+  });
+});
+</script>
+
+<!-- code folding -->
+
+
+<!-- dynamically load mathjax for compatibility with self-contained -->
+<script>
+  (function () {
+    var script = document.createElement("script");
+    script.type = "text/javascript";
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+</html>

Property changes on: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/jsonlite/doc/json-paging.html
___________________________________________________________________
Added: svn:mime-type
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Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/jsonlite/doc/json-aaquickstart.R
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/jsonlite/doc/json-aaquickstart.R	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/jsonlite/doc/json-aaquickstart.R	(revision 3761)
@@ -0,0 +1,65 @@
+## ----echo=FALSE---------------------------------------------------------------
+library(knitr)
+opts_chunk$set(comment="")
+
+#this replaces tabs by spaces because latex-verbatim doesn't like tabs
+#no longer needed because yajl does not use tabs.
+#toJSON <- function(...){
+#  gsub("\t", "  ", jsonlite::toJSON(...), fixed=TRUE);
+#}
+
+## ----message=FALSE------------------------------------------------------------
+library(jsonlite)
+all.equal(mtcars, fromJSON(toJSON(mtcars)))
+
+## -----------------------------------------------------------------------------
+# A JSON array of primitives
+json <- '["Mario", "Peach", null, "Bowser"]'
+
+# Simplifies into an atomic vector
+fromJSON(json)
+
+## -----------------------------------------------------------------------------
+# No simplification:
+fromJSON(json, simplifyVector = FALSE)
+
+## -----------------------------------------------------------------------------
+json <-
+'[
+  {"Name" : "Mario", "Age" : 32, "Occupation" : "Plumber"}, 
+  {"Name" : "Peach", "Age" : 21, "Occupation" : "Princess"},
+  {},
+  {"Name" : "Bowser", "Occupation" : "Koopa"}
+]'
+mydf <- fromJSON(json)
+mydf
+
+## -----------------------------------------------------------------------------
+mydf$Ranking <- c(3, 1, 2, 4)
+toJSON(mydf, pretty=TRUE)
+
+## -----------------------------------------------------------------------------
+json <- '[
+  [1, 2, 3, 4],
+  [5, 6, 7, 8],
+  [9, 10, 11, 12]
+]'
+mymatrix <- fromJSON(json)
+mymatrix
+
+## -----------------------------------------------------------------------------
+toJSON(mymatrix, pretty = TRUE)
+
+## -----------------------------------------------------------------------------
+json <- '[
+   [[1, 2], 
+    [3, 4]],
+   [[5, 6], 
+    [7, 8]],
+   [[9, 10],
+    [11, 12]]
+]'
+myarray <- fromJSON(json)
+myarray[1, , ]
+myarray[ , ,1]
+
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/jsonlite/doc/json-aaquickstart.Rmd
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/jsonlite/doc/json-aaquickstart.Rmd	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/jsonlite/doc/json-aaquickstart.Rmd	(revision 3761)
@@ -0,0 +1,126 @@
+---
+Title: "Getting started with JSON and jsonlite"
+date: "`r Sys.Date()`"
+output:
+  html_document
+vignette: >
+  %\VignetteIndexEntry{Getting started with JSON and jsonlite}
+  %\VignetteEngine{knitr::rmarkdown}
+  \usepackage[utf8]{inputenc}
+---
+
+
+```{r echo=FALSE}
+library(knitr)
+opts_chunk$set(comment="")
+
+#this replaces tabs by spaces because latex-verbatim doesn't like tabs
+#no longer needed because yajl does not use tabs.
+#toJSON <- function(...){
+#  gsub("\t", "  ", jsonlite::toJSON(...), fixed=TRUE);
+#}
+```
+
+# Getting started with JSON and jsonlite
+
+The jsonlite package is a JSON parser/generator optimized for the web. Its main strength is that it implements a bidirectional mapping between JSON data and the most important R data types. Thereby we can convert between R objects and JSON without loss of type or information, and without the need for any manual data munging. This is ideal for interacting with web APIs, or to build pipelines where data structures seamlessly flow in and out of R using JSON.
+
+```{r message=FALSE}
+library(jsonlite)
+all.equal(mtcars, fromJSON(toJSON(mtcars)))
+```
+
+This vignette introduces basic concepts to get started with jsonlite. For a more detailed outline and motivation of the mapping, see: [arXiv:1403.2805](https://arxiv.org/abs/1403.2805).
+
+## Simplification
+
+Simplification is the process where JSON arrays automatically get converted from a list into a more specific R class. The `fromJSON` function has 3 arguments which control the simplification process: `simplifyVector`, `simplifyDataFrame` and `simplifyMatrix`. Each one is enabled by default.
+
+| JSON structure        | Example JSON data                                        | Simplifies to R class | Argument in fromJSON | 
+| ----------------------|----------------------------------------------------------|-----------------------|----------------------|
+| Array of primitives   | `["Amsterdam", "Rotterdam", "Utrecht", "Den Haag"]`      | Atomic Vector         | simplifyVector       | 
+| Array of objects      | `[{"name":"Erik", "age":43}, {"name":"Anna", "age":32}]` | Data Frame            | simplifyDataFrame    | 
+| Array of arrays       | `[ [1, 2, 3], [4, 5, 6] ]`                               | Matrix                | simplifyMatrix       |
+
+### Atomic Vectors
+
+When `simplifyVector` is enabled, JSON arrays containing **primitives** (strings, numbers, booleans or null) simplify into an atomic vector:
+
+```{r}
+# A JSON array of primitives
+json <- '["Mario", "Peach", null, "Bowser"]'
+
+# Simplifies into an atomic vector
+fromJSON(json)
+```
+
+Without simplification, any JSON array turns into a list: 
+
+```{r}
+# No simplification:
+fromJSON(json, simplifyVector = FALSE)
+```
+
+
+### Data Frames
+
+When `simplifyDataFrame` is enabled, JSON arrays containing **objects** (key-value pairs) simplify into a data frame:
+
+```{r}
+json <-
+'[
+  {"Name" : "Mario", "Age" : 32, "Occupation" : "Plumber"}, 
+  {"Name" : "Peach", "Age" : 21, "Occupation" : "Princess"},
+  {},
+  {"Name" : "Bowser", "Occupation" : "Koopa"}
+]'
+mydf <- fromJSON(json)
+mydf
+```
+
+The data frame gets converted back into the original JSON structure by `toJSON` (whitespace and line breaks are ignorable in JSON).
+
+```{r}
+mydf$Ranking <- c(3, 1, 2, 4)
+toJSON(mydf, pretty=TRUE)
+```
+
+Hence you can go back and forth between dataframes and JSON, without any manual data restructuring.
+
+### Matrices and Arrays
+
+When `simplifyMatrix` is enabled, JSON arrays containing **equal-length sub-arrays** simplify into a matrix (or higher order R array):
+
+```{r}
+json <- '[
+  [1, 2, 3, 4],
+  [5, 6, 7, 8],
+  [9, 10, 11, 12]
+]'
+mymatrix <- fromJSON(json)
+mymatrix
+```
+
+Again, we can use `toJSON` to convert the matrix or array back into the original JSON structure:
+
+```{r}
+toJSON(mymatrix, pretty = TRUE)
+```
+
+The simplification works for arrays of arbitrary dimensionality, as long as the dimensions match (R does not support ragged arrays).
+
+```{r}
+json <- '[
+   [[1, 2], 
+    [3, 4]],
+   [[5, 6], 
+    [7, 8]],
+   [[9, 10],
+    [11, 12]]
+]'
+myarray <- fromJSON(json)
+myarray[1, , ]
+myarray[ , ,1]
+```
+
+This is all there is to it! For a more detailed outline and motivation of the mapping, see: [arXiv:1403.2805](https://arxiv.org/abs/1403.2805).
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/jsonlite/doc/json-apis.Rmd
===================================================================
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+---
+title: "Fetching JSON data from REST APIs"
+date: "2022-01-16"
+output:
+  html_document
+vignette: >
+  %\VignetteIndexEntry{Fetching JSON data from REST APIs}
+  %\VignetteEngine{knitr::rmarkdown}
+  \usepackage[utf8]{inputenc}
+---
+
+
+
+This section lists some examples of public HTTP APIs that publish data in JSON format. These are great to get a sense of the complex structures that are encountered in real world JSON data. All services are free, but some require registration/authentication. Each example returns lots of data, therefore not all output is printed in this document.
+
+
+```r
+library(jsonlite)
+```
+
+## Github
+
+Github is an online code repository and has APIs to get live data on almost all activity. Below some examples from a well known R package and author:
+
+
+```r
+hadley_orgs <- fromJSON("https://api.github.com/users/hadley/orgs")
+hadley_repos <- fromJSON("https://api.github.com/users/hadley/repos")
+gg_commits <- fromJSON("https://api.github.com/repos/hadley/ggplot2/commits")
+gg_issues <- fromJSON("https://api.github.com/repos/hadley/ggplot2/issues")
+
+#latest issues
+paste(format(gg_issues$user$login), ":", gg_issues$title)
+```
+
+```
+ [1] "petres               : Inconsistency in `scale_` functions for args `values` and `labels` for `NA` values"                                                
+ [2] "PursuitOfDataScience : Update data.R"                                                                                                                     
+ [3] "cmaimone             : scale_x_datetime limits with histogram/stat_bin: warning message about missing values"                                             
+ [4] "tomsaunders98        : Add options to guide_colourstep"                                                                                                   
+ [5] "teunbrand            : Duplicated aes warning with multiple modified aesthetics"                                                                          
+ [6] "krlmlr               : Support scale functions in packages not attached via scale_type()"                                                                 
+ [7] "elong0527            : Shall `NextMethod` be used in `$<-.uneval`"                                                                                        
+ [8] "bkmgit               : Update presidential terms dataset"                                                                                                 
+ [9] "bkmgit               : Presidents terms"                                                                                                                  
+[10] "coolbutuseless       : Export `datetime_scale`"                                                                                                           
+[11] "davidhodge931        : Create one single legend for a numeric colour variable coloured and filled along a gradient of colours with different alpha values"
+[12] "yutannihilation      : Use pak in R-CMD-check.yaml"                                                                                                       
+[13] "hadley               : Option to make default colour schemes accessible?"                                                                                 
+[14] "davidhodge931        : scale_fill_gradientn and scale_colour_gradientn should support na.translate"                                                       
+[15] "davidhodge931        : should legend styling elements within guide_* instead be within theme?"                                                            
+[16] "markjrieke           : `geom_ribbon`: aesthetics can not vary with a ribbon"                                                                              
+[17] "bkmgit               : Dataset licenses"                                                                                                                  
+[18] "jxu                  : geom_segment example confusing"                                                                                                    
+[19] "twest820             : alpha legend keys darken when geom_ribbons share an alpha value"                                                                   
+[20] "WillForan            : discarded breaks in scale_x_continuous(trans=\"log10\") w/ min(x)==0"                                                              
+[21] "billdenney           : na.rm is ignored with geom_area"                                                                                                   
+[22] "hugesingleton        : Is it possible to make the width of geom_boxplot and binwidth in geom_density, and position \"mapable\" in aes()?"                 
+[23] "bersbersbers         : Fix warning in geom_violin with draw_quantiles"                                                                                    
+[24] "eliocamp             : `geom_contour()` documentation states false precedence of bin and binwidth parameters"                                             
+[25] "jtlandis             : Unexpected results using `guides(x = guide_axis(position = ...))`"                                                                 
+[26] "albert-ying          : Smarter axis label -- allow string manipulate function in `labs` or `theme`"                                                       
+[27] "Cumol                : Width argument to geom_errorbar not passed on when using stat_summary_bin"                                                         
+[28] "twest820             : apparently spurious is.na() warning on use of language in label"                                                                   
+[29] "benjaminrich         : Add `trans` option in `annotation_logticks()`"                                                                                     
+[30] "benjaminrich         : `annotation_logticks()` with secondary axis"                                                                                       
+```
+
+## CitiBike NYC
+
+A single public API that shows location, status and current availability for all stations in the New York City bike sharing imitative.
+
+
+```r
+citibike <- fromJSON("https://gbfs.citibikenyc.com/gbfs/en/station_information.json")
+stations <- citibike$data$stations
+colnames(stations)
+```
+
+```
+ [1] "electric_bike_surcharge_waiver" "eightd_station_services"        "lat"                            "external_id"                   
+ [5] "station_type"                   "name"                           "short_name"                     "station_id"                    
+ [9] "rental_methods"                 "rental_uris"                    "has_kiosk"                      "region_id"                     
+[13] "capacity"                       "legacy_id"                      "lon"                            "eightd_has_key_dispenser"      
+```
+
+```r
+nrow(stations)
+```
+
+```
+[1] 1598
+```
+
+## Ergast
+
+The Ergast Developer API is an experimental web service which provides a historical record of motor racing data for non-commercial purposes.
+
+
+```r
+res <- fromJSON('http://ergast.com/api/f1/2004/1/results.json')
+drivers <- res$MRData$RaceTable$Races$Results[[1]]$Driver
+colnames(drivers)
+```
+
+```
+[1] "driverId"        "code"            "url"             "givenName"       "familyName"      "dateOfBirth"     "nationality"    
+[8] "permanentNumber"
+```
+
+```r
+drivers[1:10, c("givenName", "familyName", "code", "nationality")]
+```
+
+```
+   givenName    familyName code nationality
+1    Michael    Schumacher  MSC      German
+2     Rubens   Barrichello  BAR   Brazilian
+3   Fernando        Alonso  ALO     Spanish
+4       Ralf    Schumacher  SCH      German
+5       Juan Pablo Montoya  MON   Colombian
+6     Jenson        Button  BUT     British
+7      Jarno        Trulli  TRU     Italian
+8      David     Coulthard  COU     British
+9     Takuma          Sato  SAT    Japanese
+10 Giancarlo    Fisichella  FIS     Italian
+```
+
+
+## ProPublica
+
+Below an example from the [ProPublica Nonprofit Explorer API](https://projects.propublica.org/nonprofits/api) where we retrieve the first 10 pages of tax-exempt organizations in the USA, ordered by revenue. The `rbind_pages` function is used to combine the pages into a single data frame.
+
+
+
+```r
+#store all pages in a list first
+baseurl <- "https://projects.propublica.org/nonprofits/api/v2/search.json?order=revenue&sort_order=desc"
+pages <- list()
+for(i in 0:10){
+  mydata <- fromJSON(paste0(baseurl, "&page=", i), flatten=TRUE)
+  message("Retrieving page ", i)
+  pages[[i+1]] <- mydata$organizations
+}
+
+#combine all into one
+organizations <- rbind_pages(pages)
+
+#check output
+nrow(organizations)
+```
+
+```
+[1] 1100
+```
+
+```r
+organizations[1:10, c("name", "city", "strein")]
+```
+
+```
+                            name        city     strein
+1           0 DEBT EDUCATION INC  SANTA ROSA 46-4744976
+2                0 TOLERANCE INC     SUWANEE 27-2620044
+3                00 MOVEMENT INC   PENSACOLA 82-4704419
+4                    00006 LOCAL       MEDIA 22-6062777
+5             0003 POSTAL FAMILY  CINCINNATI 31-0240910
+6                        0005 GA   HEPHZIBAH 58-1514574
+7  0005 WRIGHT-PATT CREDIT UNION BEAVERCREEK 31-0278870
+8                        0009 DE   GREENWOOD 26-4507405
+9                0011 CALIFORNIA      REDWAY 36-4654777
+10                   00141 LOCAL       MEDIA 94-0507697
+```
+
+
+## New York Times
+
+The New York Times has several APIs as part of the NYT developer network. These interface to data from various departments, such as news articles, book reviews, real estate, etc. Registration is required (but free) and a key can be obtained at [here](http://developer.nytimes.com/signup). The code below includes some example keys for illustration purposes.
+
+
+```r
+#search for articles
+article_key <- "&api-key=b75da00e12d54774a2d362adddcc9bef"
+url <- "http://api.nytimes.com/svc/search/v2/articlesearch.json?q=obamacare+socialism"
+req <- fromJSON(paste0(url, article_key))
+articles <- req$response$docs
+colnames(articles)
+```
+
+```
+ [1] "abstract"         "web_url"          "snippet"          "lead_paragraph"   "print_section"    "print_page"       "source"          
+ [8] "multimedia"       "headline"         "keywords"         "pub_date"         "document_type"    "news_desk"        "section_name"    
+[15] "byline"           "type_of_material" "_id"              "word_count"       "uri"              "subsection_name" 
+```
+
+```r
+#search for best sellers
+books_key <- "&api-key=76363c9e70bc401bac1e6ad88b13bd1d"
+url <- "http://api.nytimes.com/svc/books/v2/lists/overview.json?published_date=2013-01-01"
+req <- fromJSON(paste0(url, books_key))
+bestsellers <- req$results$list
+category1 <- bestsellers[[1, "books"]]
+subset(category1, select = c("author", "title", "publisher"))
+```
+
+```
+           author                title                  publisher
+1   Gillian Flynn            GONE GIRL           Crown Publishing
+2    John Grisham        THE RACKETEER Knopf Doubleday Publishing
+3       E L James FIFTY SHADES OF GREY Knopf Doubleday Publishing
+4 Nicholas Sparks           SAFE HAVEN   Grand Central Publishing
+5  David Baldacci        THE FORGOTTEN   Grand Central Publishing
+```
+
+## Twitter
+
+The twitter API requires OAuth2 authentication. Some example code:
+
+
+```r
+#Create your own appication key at https://dev.twitter.com/apps
+consumer_key = "EZRy5JzOH2QQmVAe9B4j2w";
+consumer_secret = "OIDC4MdfZJ82nbwpZfoUO4WOLTYjoRhpHRAWj6JMec";
+
+#Use basic auth
+secret <- jsonlite::base64_enc(paste(consumer_key, consumer_secret, sep = ":"))
+req <- httr::POST("https://api.twitter.com/oauth2/token",
+  httr::add_headers(
+    "Authorization" = paste("Basic", gsub("\n", "", secret)),
+    "Content-Type" = "application/x-www-form-urlencoded;charset=UTF-8"
+  ),
+  body = "grant_type=client_credentials"
+);
+
+#Extract the access token
+httr::stop_for_status(req, "authenticate with twitter")
+token <- paste("Bearer", httr::content(req)$access_token)
+
+#Actual API call
+url <- "https://api.twitter.com/1.1/statuses/user_timeline.json?count=10&screen_name=Rbloggers"
+req <- httr::GET(url, httr::add_headers(Authorization = token))
+json <- httr::content(req, as = "text")
+tweets <- fromJSON(json)
+substring(tweets$text, 1, 100)
+```
+
+```
+ [1] "Surface reconstruction with R(CGAL)  {https://t.co/Kou9gFUmod} #rstats #DataScience"                 
+ [2] "A dashboard illustrating bivariate time series forecasting with `ahead`  {https://t.co/HYS6UIKMgl} #"
+ [3] "Handling Categorical Data in R â€“ Part 4  {https://t.co/aZa7O7Ppxd} #rstats #DataScience"             
+ [4] "Solving the â€˜preserving the sum after roundingâ€™ problem for a soccer waffle viz  {https://t.co/uNtOL"
+ [5] "Community Management Transition for rOpenSci. A Message from Stefanie Butland  {https://t.co/r7YuZjV"
+ [6] "New R job: Data Services Specialist https://t.co/sy2goVMxbq #rstats #DataScience #jobs"              
+ [7] "RTutor: Gasoline Taxes and Consumer Behavior  {https://t.co/nIxUNfihoK} #rstats #DataScience"        
+ [8] "Shinywordle: A shiny app to solve the game Worldle and the power of regular expressions  {https://t."
+ [9] "10 New books added to Big Book of R  {https://t.co/jD0IYutHTN} #rstats #DataScience"                 
+[10] "Clipping an isosurface to a ball, and more  {https://t.co/Yz0qbSB3IB} #rstats #DataScience"          
+```
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/jsonlite/doc/json-aaquickstart.html
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/jsonlite/doc/json-aaquickstart.html	(revision 0)
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+<!DOCTYPE html>
+
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+<meta name="date" content="2022-12-06" />
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) 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+<style>h1 {font-size: 34px;}
+h1.title {font-size: 38px;}
+h2 {font-size: 30px;}
+h3 {font-size: 24px;}
+h4 {font-size: 18px;}
+h5 {font-size: 16px;}
+h6 {font-size: 12px;}
+code {color: inherit; background-color: rgba(0, 0, 0, 0.04);}
+pre:not([class]) { background-color: white }</style>
+<script>
+
+/**
+ * jQuery Plugin: Sticky Tabs
+ *
+ * @author Aidan Lister <aidan@php.net>
+ * adapted by Ruben Arslan to activate parent tabs too
+ * http://www.aidanlister.com/2014/03/persisting-the-tab-state-in-bootstrap/
+ */
+(function($) {
+  "use strict";
+  $.fn.rmarkdownStickyTabs = function() {
+    var context = this;
+    // Show the tab corresponding with the hash in the URL, or the first tab
+    var showStuffFromHash = function() {
+      var hash = window.location.hash;
+      var selector = hash ? 'a[href="' + hash + '"]' : 'li.active > a';
+      var $selector = $(selector, context);
+      if($selector.data('toggle') === "tab") {
+        $selector.tab('show');
+        // walk up the ancestors of this element, show any hidden tabs
+        $selector.parents('.section.tabset').each(function(i, elm) {
+          var link = $('a[href="#' + $(elm).attr('id') + '"]');
+          if(link.data('toggle') === "tab") {
+            link.tab("show");
+          }
+        });
+      }
+    };
+
+
+    // Set the correct tab when the page loads
+    showStuffFromHash(context);
+
+    // Set the correct tab when a user uses their back/forward button
+    $(window).on('hashchange', function() {
+      showStuffFromHash(context);
+    });
+
+    // Change the URL when tabs are clicked
+    $('a', context).on('click', function(e) {
+      history.pushState(null, null, this.href);
+      showStuffFromHash(context);
+    });
+
+    return this;
+  };
+}(jQuery));
+
+window.buildTabsets = function(tocID) {
+
+  // build a tabset from a section div with the .tabset class
+  function buildTabset(tabset) {
+
+    // check for fade and pills options
+    var fade = tabset.hasClass("tabset-fade");
+    var pills = tabset.hasClass("tabset-pills");
+    var navClass = pills ? "nav-pills" : "nav-tabs";
+
+    // determine the heading level of the tabset and tabs
+    var match = tabset.attr('class').match(/level(\d) /);
+    if (match === null)
+      return;
+    var tabsetLevel = Number(match[1]);
+    var tabLevel = tabsetLevel + 1;
+
+    // find all subheadings immediately below
+    var tabs = tabset.find("div.section.level" + tabLevel);
+    if (!tabs.length)
+      return;
+
+    // create tablist and tab-content elements
+    var tabList = $('<ul class="nav ' + navClass + '" role="tablist"></ul>');
+    $(tabs[0]).before(tabList);
+    var tabContent = $('<div class="tab-content"></div>');
+    $(tabs[0]).before(tabContent);
+
+    // build the tabset
+    var activeTab = 0;
+    tabs.each(function(i) {
+
+      // get the tab div
+      var tab = $(tabs[i]);
+
+      // get the id then sanitize it for use with bootstrap tabs
+      var id = tab.attr('id');
+
+      // see if this is marked as the active tab
+      if (tab.hasClass('active'))
+        activeTab = i;
+
+      // remove any table of contents entries associated with
+      // this ID (since we'll be removing the heading element)
+      $("div#" + tocID + " li a[href='#" + id + "']").parent().remove();
+
+      // sanitize the id for use with bootstrap tabs
+      id = id.replace(/[.\/?&!#<>]/g, '').replace(/\s/g, '_');
+      tab.attr('id', id);
+
+      // get the heading element within it, grab it's text, then remove it
+      var heading = tab.find('h' + tabLevel + ':first');
+      var headingText = heading.html();
+      heading.remove();
+
+      // build and append the tab list item
+      var a = $('<a role="tab" data-toggle="tab">' + headingText + '</a>');
+      a.attr('href', '#' + id);
+      a.attr('aria-controls', id);
+      var li = $('<li role="presentation"></li>');
+      li.append(a);
+      tabList.append(li);
+
+      // set it's attributes
+      tab.attr('role', 'tabpanel');
+      tab.addClass('tab-pane');
+      tab.addClass('tabbed-pane');
+      if (fade)
+        tab.addClass('fade');
+
+      // move it into the tab content div
+      tab.detach().appendTo(tabContent);
+    });
+
+    // set active tab
+    $(tabList.children('li')[activeTab]).addClass('active');
+    var active = $(tabContent.children('div.section')[activeTab]);
+    active.addClass('active');
+    if (fade)
+      active.addClass('in');
+
+    if (tabset.hasClass("tabset-sticky"))
+      tabset.rmarkdownStickyTabs();
+  }
+
+  // convert section divs with the .tabset class to tabsets
+  var tabsets = $("div.section.tabset");
+  tabsets.each(function(i) {
+    buildTabset($(tabsets[i]));
+  });
+};
+
+</script>
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+
+
+<div class="container-fluid main-container">
+
+
+
+
+<div id="header">
+
+
+
+
+</div>
+
+
+<div id="getting-started-with-json-and-jsonlite" class="section level1">
+<h1>Getting started with JSON and jsonlite</h1>
+<p>The jsonlite package is a JSON parser/generator optimized for the
+web. Its main strength is that it implements a bidirectional mapping
+between JSON data and the most important R data types. Thereby we can
+convert between R objects and JSON without loss of type or information,
+and without the need for any manual data munging. This is ideal for
+interacting with web APIs, or to build pipelines where data structures
+seamlessly flow in and out of R using JSON.</p>
+<pre class="r"><code>library(jsonlite)
+all.equal(mtcars, fromJSON(toJSON(mtcars)))</code></pre>
+<pre><code>[1] TRUE</code></pre>
+<p>This vignette introduces basic concepts to get started with jsonlite.
+For a more detailed outline and motivation of the mapping, see: <a href="https://arxiv.org/abs/1403.2805">arXiv:1403.2805</a>.</p>
+<div id="simplification" class="section level2">
+<h2>Simplification</h2>
+<p>Simplification is the process where JSON arrays automatically get
+converted from a list into a more specific R class. The
+<code>fromJSON</code> function has 3 arguments which control the
+simplification process: <code>simplifyVector</code>,
+<code>simplifyDataFrame</code> and <code>simplifyMatrix</code>. Each one
+is enabled by default.</p>
+<table>
+<colgroup>
+<col width="17%" />
+<col width="46%" />
+<col width="18%" />
+<col width="17%" />
+</colgroup>
+<thead>
+<tr class="header">
+<th>JSON structure</th>
+<th>Example JSON data</th>
+<th>Simplifies to R class</th>
+<th>Argument in fromJSON</th>
+</tr>
+</thead>
+<tbody>
+<tr class="odd">
+<td>Array of primitives</td>
+<td><code>[&quot;Amsterdam&quot;, &quot;Rotterdam&quot;, &quot;Utrecht&quot;, &quot;Den Haag&quot;]</code></td>
+<td>Atomic Vector</td>
+<td>simplifyVector</td>
+</tr>
+<tr class="even">
+<td>Array of objects</td>
+<td><code>[{&quot;name&quot;:&quot;Erik&quot;, &quot;age&quot;:43}, {&quot;name&quot;:&quot;Anna&quot;, &quot;age&quot;:32}]</code></td>
+<td>Data Frame</td>
+<td>simplifyDataFrame</td>
+</tr>
+<tr class="odd">
+<td>Array of arrays</td>
+<td><code>[ [1, 2, 3], [4, 5, 6] ]</code></td>
+<td>Matrix</td>
+<td>simplifyMatrix</td>
+</tr>
+</tbody>
+</table>
+<div id="atomic-vectors" class="section level3">
+<h3>Atomic Vectors</h3>
+<p>When <code>simplifyVector</code> is enabled, JSON arrays containing
+<strong>primitives</strong> (strings, numbers, booleans or null)
+simplify into an atomic vector:</p>
+<pre class="r"><code># A JSON array of primitives
+json &lt;- &#39;[&quot;Mario&quot;, &quot;Peach&quot;, null, &quot;Bowser&quot;]&#39;
+
+# Simplifies into an atomic vector
+fromJSON(json)</code></pre>
+<pre><code>[1] &quot;Mario&quot;  &quot;Peach&quot;  NA       &quot;Bowser&quot;</code></pre>
+<p>Without simplification, any JSON array turns into a list:</p>
+<pre class="r"><code># No simplification:
+fromJSON(json, simplifyVector = FALSE)</code></pre>
+<pre><code>[[1]]
+[1] &quot;Mario&quot;
+
+[[2]]
+[1] &quot;Peach&quot;
+
+[[3]]
+NULL
+
+[[4]]
+[1] &quot;Bowser&quot;</code></pre>
+</div>
+<div id="data-frames" class="section level3">
+<h3>Data Frames</h3>
+<p>When <code>simplifyDataFrame</code> is enabled, JSON arrays
+containing <strong>objects</strong> (key-value pairs) simplify into a
+data frame:</p>
+<pre class="r"><code>json &lt;-
+&#39;[
+  {&quot;Name&quot; : &quot;Mario&quot;, &quot;Age&quot; : 32, &quot;Occupation&quot; : &quot;Plumber&quot;}, 
+  {&quot;Name&quot; : &quot;Peach&quot;, &quot;Age&quot; : 21, &quot;Occupation&quot; : &quot;Princess&quot;},
+  {},
+  {&quot;Name&quot; : &quot;Bowser&quot;, &quot;Occupation&quot; : &quot;Koopa&quot;}
+]&#39;
+mydf &lt;- fromJSON(json)
+mydf</code></pre>
+<pre><code>    Name Age Occupation
+1  Mario  32    Plumber
+2  Peach  21   Princess
+3   &lt;NA&gt;  NA       &lt;NA&gt;
+4 Bowser  NA      Koopa</code></pre>
+<p>The data frame gets converted back into the original JSON structure
+by <code>toJSON</code> (whitespace and line breaks are ignorable in
+JSON).</p>
+<pre class="r"><code>mydf$Ranking &lt;- c(3, 1, 2, 4)
+toJSON(mydf, pretty=TRUE)</code></pre>
+<pre><code>[
+  {
+    &quot;Name&quot;: &quot;Mario&quot;,
+    &quot;Age&quot;: 32,
+    &quot;Occupation&quot;: &quot;Plumber&quot;,
+    &quot;Ranking&quot;: 3
+  },
+  {
+    &quot;Name&quot;: &quot;Peach&quot;,
+    &quot;Age&quot;: 21,
+    &quot;Occupation&quot;: &quot;Princess&quot;,
+    &quot;Ranking&quot;: 1
+  },
+  {
+    &quot;Ranking&quot;: 2
+  },
+  {
+    &quot;Name&quot;: &quot;Bowser&quot;,
+    &quot;Occupation&quot;: &quot;Koopa&quot;,
+    &quot;Ranking&quot;: 4
+  }
+] </code></pre>
+<p>Hence you can go back and forth between dataframes and JSON, without
+any manual data restructuring.</p>
+</div>
+<div id="matrices-and-arrays" class="section level3">
+<h3>Matrices and Arrays</h3>
+<p>When <code>simplifyMatrix</code> is enabled, JSON arrays containing
+<strong>equal-length sub-arrays</strong> simplify into a matrix (or
+higher order R array):</p>
+<pre class="r"><code>json &lt;- &#39;[
+  [1, 2, 3, 4],
+  [5, 6, 7, 8],
+  [9, 10, 11, 12]
+]&#39;
+mymatrix &lt;- fromJSON(json)
+mymatrix</code></pre>
+<pre><code>     [,1] [,2] [,3] [,4]
+[1,]    1    2    3    4
+[2,]    5    6    7    8
+[3,]    9   10   11   12</code></pre>
+<p>Again, we can use <code>toJSON</code> to convert the matrix or array
+back into the original JSON structure:</p>
+<pre class="r"><code>toJSON(mymatrix, pretty = TRUE)</code></pre>
+<pre><code>[
+  [1, 2, 3, 4],
+  [5, 6, 7, 8],
+  [9, 10, 11, 12]
+] </code></pre>
+<p>The simplification works for arrays of arbitrary dimensionality, as
+long as the dimensions match (R does not support ragged arrays).</p>
+<pre class="r"><code>json &lt;- &#39;[
+   [[1, 2], 
+    [3, 4]],
+   [[5, 6], 
+    [7, 8]],
+   [[9, 10],
+    [11, 12]]
+]&#39;
+myarray &lt;- fromJSON(json)
+myarray[1, , ]</code></pre>
+<pre><code>     [,1] [,2]
+[1,]    1    2
+[2,]    3    4</code></pre>
+<pre class="r"><code>myarray[ , ,1]</code></pre>
+<pre><code>     [,1] [,2]
+[1,]    1    3
+[2,]    5    7
+[3,]    9   11</code></pre>
+<p>This is all there is to it! For a more detailed outline and
+motivation of the mapping, see: <a href="https://arxiv.org/abs/1403.2805">arXiv:1403.2805</a>.</p>
+</div>
+</div>
+</div>
+
+
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) 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+<style>h1 {font-size: 34px;}
+h1.title {font-size: 38px;}
+h2 {font-size: 30px;}
+h3 {font-size: 24px;}
+h4 {font-size: 18px;}
+h5 {font-size: 16px;}
+h6 {font-size: 12px;}
+code {color: inherit; background-color: rgba(0, 0, 0, 0.04);}
+pre:not([class]) { background-color: white }</style>
+<script>
+
+/**
+ * jQuery Plugin: Sticky Tabs
+ *
+ * @author Aidan Lister <aidan@php.net>
+ * adapted by Ruben Arslan to activate parent tabs too
+ * http://www.aidanlister.com/2014/03/persisting-the-tab-state-in-bootstrap/
+ */
+(function($) {
+  "use strict";
+  $.fn.rmarkdownStickyTabs = function() {
+    var context = this;
+    // Show the tab corresponding with the hash in the URL, or the first tab
+    var showStuffFromHash = function() {
+      var hash = window.location.hash;
+      var selector = hash ? 'a[href="' + hash + '"]' : 'li.active > a';
+      var $selector = $(selector, context);
+      if($selector.data('toggle') === "tab") {
+        $selector.tab('show');
+        // walk up the ancestors of this element, show any hidden tabs
+        $selector.parents('.section.tabset').each(function(i, elm) {
+          var link = $('a[href="#' + $(elm).attr('id') + '"]');
+          if(link.data('toggle') === "tab") {
+            link.tab("show");
+          }
+        });
+      }
+    };
+
+
+    // Set the correct tab when the page loads
+    showStuffFromHash(context);
+
+    // Set the correct tab when a user uses their back/forward button
+    $(window).on('hashchange', function() {
+      showStuffFromHash(context);
+    });
+
+    // Change the URL when tabs are clicked
+    $('a', context).on('click', function(e) {
+      history.pushState(null, null, this.href);
+      showStuffFromHash(context);
+    });
+
+    return this;
+  };
+}(jQuery));
+
+window.buildTabsets = function(tocID) {
+
+  // build a tabset from a section div with the .tabset class
+  function buildTabset(tabset) {
+
+    // check for fade and pills options
+    var fade = tabset.hasClass("tabset-fade");
+    var pills = tabset.hasClass("tabset-pills");
+    var navClass = pills ? "nav-pills" : "nav-tabs";
+
+    // determine the heading level of the tabset and tabs
+    var match = tabset.attr('class').match(/level(\d) /);
+    if (match === null)
+      return;
+    var tabsetLevel = Number(match[1]);
+    var tabLevel = tabsetLevel + 1;
+
+    // find all subheadings immediately below
+    var tabs = tabset.find("div.section.level" + tabLevel);
+    if (!tabs.length)
+      return;
+
+    // create tablist and tab-content elements
+    var tabList = $('<ul class="nav ' + navClass + '" role="tablist"></ul>');
+    $(tabs[0]).before(tabList);
+    var tabContent = $('<div class="tab-content"></div>');
+    $(tabs[0]).before(tabContent);
+
+    // build the tabset
+    var activeTab = 0;
+    tabs.each(function(i) {
+
+      // get the tab div
+      var tab = $(tabs[i]);
+
+      // get the id then sanitize it for use with bootstrap tabs
+      var id = tab.attr('id');
+
+      // see if this is marked as the active tab
+      if (tab.hasClass('active'))
+        activeTab = i;
+
+      // remove any table of contents entries associated with
+      // this ID (since we'll be removing the heading element)
+      $("div#" + tocID + " li a[href='#" + id + "']").parent().remove();
+
+      // sanitize the id for use with bootstrap tabs
+      id = id.replace(/[.\/?&!#<>]/g, '').replace(/\s/g, '_');
+      tab.attr('id', id);
+
+      // get the heading element within it, grab it's text, then remove it
+      var heading = tab.find('h' + tabLevel + ':first');
+      var headingText = heading.html();
+      heading.remove();
+
+      // build and append the tab list item
+      var a = $('<a role="tab" data-toggle="tab">' + headingText + '</a>');
+      a.attr('href', '#' + id);
+      a.attr('aria-controls', id);
+      var li = $('<li role="presentation"></li>');
+      li.append(a);
+      tabList.append(li);
+
+      // set it's attributes
+      tab.attr('role', 'tabpanel');
+      tab.addClass('tab-pane');
+      tab.addClass('tabbed-pane');
+      if (fade)
+        tab.addClass('fade');
+
+      // move it into the tab content div
+      tab.detach().appendTo(tabContent);
+    });
+
+    // set active tab
+    $(tabList.children('li')[activeTab]).addClass('active');
+    var active = $(tabContent.children('div.section')[activeTab]);
+    active.addClass('active');
+    if (fade)
+      active.addClass('in');
+
+    if (tabset.hasClass("tabset-sticky"))
+      tabset.rmarkdownStickyTabs();
+  }
+
+  // convert section divs with the .tabset class to tabsets
+  var tabsets = $("div.section.tabset");
+  tabsets.each(function(i) {
+    buildTabset($(tabsets[i]));
+  });
+};
+
+</script>
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+
+
+
+<h1 class="title toc-ignore">Fetching JSON data from REST APIs</h1>
+<h4 class="date">2022-01-16</h4>
+
+</div>
+
+
+<p>This section lists some examples of public HTTP APIs that publish
+data in JSON format. These are great to get a sense of the complex
+structures that are encountered in real world JSON data. All services
+are free, but some require registration/authentication. Each example
+returns lots of data, therefore not all output is printed in this
+document.</p>
+<pre class="r"><code>library(jsonlite)</code></pre>
+<div id="github" class="section level2">
+<h2>Github</h2>
+<p>Github is an online code repository and has APIs to get live data on
+almost all activity. Below some examples from a well known R package and
+author:</p>
+<pre class="r"><code>hadley_orgs &lt;- fromJSON(&quot;https://api.github.com/users/hadley/orgs&quot;)
+hadley_repos &lt;- fromJSON(&quot;https://api.github.com/users/hadley/repos&quot;)
+gg_commits &lt;- fromJSON(&quot;https://api.github.com/repos/hadley/ggplot2/commits&quot;)
+gg_issues &lt;- fromJSON(&quot;https://api.github.com/repos/hadley/ggplot2/issues&quot;)
+
+#latest issues
+paste(format(gg_issues$user$login), &quot;:&quot;, gg_issues$title)</code></pre>
+<pre><code> [1] &quot;petres               : Inconsistency in `scale_` functions for args `values` and `labels` for `NA` values&quot;                                                
+ [2] &quot;PursuitOfDataScience : Update data.R&quot;                                                                                                                     
+ [3] &quot;cmaimone             : scale_x_datetime limits with histogram/stat_bin: warning message about missing values&quot;                                             
+ [4] &quot;tomsaunders98        : Add options to guide_colourstep&quot;                                                                                                   
+ [5] &quot;teunbrand            : Duplicated aes warning with multiple modified aesthetics&quot;                                                                          
+ [6] &quot;krlmlr               : Support scale functions in packages not attached via scale_type()&quot;                                                                 
+ [7] &quot;elong0527            : Shall `NextMethod` be used in `$&lt;-.uneval`&quot;                                                                                        
+ [8] &quot;bkmgit               : Update presidential terms dataset&quot;                                                                                                 
+ [9] &quot;bkmgit               : Presidents terms&quot;                                                                                                                  
+[10] &quot;coolbutuseless       : Export `datetime_scale`&quot;                                                                                                           
+[11] &quot;davidhodge931        : Create one single legend for a numeric colour variable coloured and filled along a gradient of colours with different alpha values&quot;
+[12] &quot;yutannihilation      : Use pak in R-CMD-check.yaml&quot;                                                                                                       
+[13] &quot;hadley               : Option to make default colour schemes accessible?&quot;                                                                                 
+[14] &quot;davidhodge931        : scale_fill_gradientn and scale_colour_gradientn should support na.translate&quot;                                                       
+[15] &quot;davidhodge931        : should legend styling elements within guide_* instead be within theme?&quot;                                                            
+[16] &quot;markjrieke           : `geom_ribbon`: aesthetics can not vary with a ribbon&quot;                                                                              
+[17] &quot;bkmgit               : Dataset licenses&quot;                                                                                                                  
+[18] &quot;jxu                  : geom_segment example confusing&quot;                                                                                                    
+[19] &quot;twest820             : alpha legend keys darken when geom_ribbons share an alpha value&quot;                                                                   
+[20] &quot;WillForan            : discarded breaks in scale_x_continuous(trans=\&quot;log10\&quot;) w/ min(x)==0&quot;                                                              
+[21] &quot;billdenney           : na.rm is ignored with geom_area&quot;                                                                                                   
+[22] &quot;hugesingleton        : Is it possible to make the width of geom_boxplot and binwidth in geom_density, and position \&quot;mapable\&quot; in aes()?&quot;                 
+[23] &quot;bersbersbers         : Fix warning in geom_violin with draw_quantiles&quot;                                                                                    
+[24] &quot;eliocamp             : `geom_contour()` documentation states false precedence of bin and binwidth parameters&quot;                                             
+[25] &quot;jtlandis             : Unexpected results using `guides(x = guide_axis(position = ...))`&quot;                                                                 
+[26] &quot;albert-ying          : Smarter axis label -- allow string manipulate function in `labs` or `theme`&quot;                                                       
+[27] &quot;Cumol                : Width argument to geom_errorbar not passed on when using stat_summary_bin&quot;                                                         
+[28] &quot;twest820             : apparently spurious is.na() warning on use of language in label&quot;                                                                   
+[29] &quot;benjaminrich         : Add `trans` option in `annotation_logticks()`&quot;                                                                                     
+[30] &quot;benjaminrich         : `annotation_logticks()` with secondary axis&quot;                                                                                       </code></pre>
+</div>
+<div id="citibike-nyc" class="section level2">
+<h2>CitiBike NYC</h2>
+<p>A single public API that shows location, status and current
+availability for all stations in the New York City bike sharing
+imitative.</p>
+<pre class="r"><code>citibike &lt;- fromJSON(&quot;https://gbfs.citibikenyc.com/gbfs/en/station_information.json&quot;)
+stations &lt;- citibike$data$stations
+colnames(stations)</code></pre>
+<pre><code> [1] &quot;electric_bike_surcharge_waiver&quot; &quot;eightd_station_services&quot;        &quot;lat&quot;                            &quot;external_id&quot;                   
+ [5] &quot;station_type&quot;                   &quot;name&quot;                           &quot;short_name&quot;                     &quot;station_id&quot;                    
+ [9] &quot;rental_methods&quot;                 &quot;rental_uris&quot;                    &quot;has_kiosk&quot;                      &quot;region_id&quot;                     
+[13] &quot;capacity&quot;                       &quot;legacy_id&quot;                      &quot;lon&quot;                            &quot;eightd_has_key_dispenser&quot;      </code></pre>
+<pre class="r"><code>nrow(stations)</code></pre>
+<pre><code>[1] 1598</code></pre>
+</div>
+<div id="ergast" class="section level2">
+<h2>Ergast</h2>
+<p>The Ergast Developer API is an experimental web service which
+provides a historical record of motor racing data for non-commercial
+purposes.</p>
+<pre class="r"><code>res &lt;- fromJSON(&#39;http://ergast.com/api/f1/2004/1/results.json&#39;)
+drivers &lt;- res$MRData$RaceTable$Races$Results[[1]]$Driver
+colnames(drivers)</code></pre>
+<pre><code>[1] &quot;driverId&quot;        &quot;code&quot;            &quot;url&quot;             &quot;givenName&quot;       &quot;familyName&quot;      &quot;dateOfBirth&quot;     &quot;nationality&quot;    
+[8] &quot;permanentNumber&quot;</code></pre>
+<pre class="r"><code>drivers[1:10, c(&quot;givenName&quot;, &quot;familyName&quot;, &quot;code&quot;, &quot;nationality&quot;)]</code></pre>
+<pre><code>   givenName    familyName code nationality
+1    Michael    Schumacher  MSC      German
+2     Rubens   Barrichello  BAR   Brazilian
+3   Fernando        Alonso  ALO     Spanish
+4       Ralf    Schumacher  SCH      German
+5       Juan Pablo Montoya  MON   Colombian
+6     Jenson        Button  BUT     British
+7      Jarno        Trulli  TRU     Italian
+8      David     Coulthard  COU     British
+9     Takuma          Sato  SAT    Japanese
+10 Giancarlo    Fisichella  FIS     Italian</code></pre>
+</div>
+<div id="propublica" class="section level2">
+<h2>ProPublica</h2>
+<p>Below an example from the <a href="https://projects.propublica.org/nonprofits/api">ProPublica
+Nonprofit Explorer API</a> where we retrieve the first 10 pages of
+tax-exempt organizations in the USA, ordered by revenue. The
+<code>rbind_pages</code> function is used to combine the pages into a
+single data frame.</p>
+<pre class="r"><code>#store all pages in a list first
+baseurl &lt;- &quot;https://projects.propublica.org/nonprofits/api/v2/search.json?order=revenue&amp;sort_order=desc&quot;
+pages &lt;- list()
+for(i in 0:10){
+  mydata &lt;- fromJSON(paste0(baseurl, &quot;&amp;page=&quot;, i), flatten=TRUE)
+  message(&quot;Retrieving page &quot;, i)
+  pages[[i+1]] &lt;- mydata$organizations
+}
+
+#combine all into one
+organizations &lt;- rbind_pages(pages)
+
+#check output
+nrow(organizations)</code></pre>
+<pre><code>[1] 1100</code></pre>
+<pre class="r"><code>organizations[1:10, c(&quot;name&quot;, &quot;city&quot;, &quot;strein&quot;)]</code></pre>
+<pre><code>                            name        city     strein
+1           0 DEBT EDUCATION INC  SANTA ROSA 46-4744976
+2                0 TOLERANCE INC     SUWANEE 27-2620044
+3                00 MOVEMENT INC   PENSACOLA 82-4704419
+4                    00006 LOCAL       MEDIA 22-6062777
+5             0003 POSTAL FAMILY  CINCINNATI 31-0240910
+6                        0005 GA   HEPHZIBAH 58-1514574
+7  0005 WRIGHT-PATT CREDIT UNION BEAVERCREEK 31-0278870
+8                        0009 DE   GREENWOOD 26-4507405
+9                0011 CALIFORNIA      REDWAY 36-4654777
+10                   00141 LOCAL       MEDIA 94-0507697</code></pre>
+</div>
+<div id="new-york-times" class="section level2">
+<h2>New York Times</h2>
+<p>The New York Times has several APIs as part of the NYT developer
+network. These interface to data from various departments, such as news
+articles, book reviews, real estate, etc. Registration is required (but
+free) and a key can be obtained at <a href="http://developer.nytimes.com/signup">here</a>. The code below
+includes some example keys for illustration purposes.</p>
+<pre class="r"><code>#search for articles
+article_key &lt;- &quot;&amp;api-key=b75da00e12d54774a2d362adddcc9bef&quot;
+url &lt;- &quot;http://api.nytimes.com/svc/search/v2/articlesearch.json?q=obamacare+socialism&quot;
+req &lt;- fromJSON(paste0(url, article_key))
+articles &lt;- req$response$docs
+colnames(articles)</code></pre>
+<pre><code> [1] &quot;abstract&quot;         &quot;web_url&quot;          &quot;snippet&quot;          &quot;lead_paragraph&quot;   &quot;print_section&quot;    &quot;print_page&quot;       &quot;source&quot;          
+ [8] &quot;multimedia&quot;       &quot;headline&quot;         &quot;keywords&quot;         &quot;pub_date&quot;         &quot;document_type&quot;    &quot;news_desk&quot;        &quot;section_name&quot;    
+[15] &quot;byline&quot;           &quot;type_of_material&quot; &quot;_id&quot;              &quot;word_count&quot;       &quot;uri&quot;              &quot;subsection_name&quot; </code></pre>
+<pre class="r"><code>#search for best sellers
+books_key &lt;- &quot;&amp;api-key=76363c9e70bc401bac1e6ad88b13bd1d&quot;
+url &lt;- &quot;http://api.nytimes.com/svc/books/v2/lists/overview.json?published_date=2013-01-01&quot;
+req &lt;- fromJSON(paste0(url, books_key))
+bestsellers &lt;- req$results$list
+category1 &lt;- bestsellers[[1, &quot;books&quot;]]
+subset(category1, select = c(&quot;author&quot;, &quot;title&quot;, &quot;publisher&quot;))</code></pre>
+<pre><code>           author                title                  publisher
+1   Gillian Flynn            GONE GIRL           Crown Publishing
+2    John Grisham        THE RACKETEER Knopf Doubleday Publishing
+3       E L James FIFTY SHADES OF GREY Knopf Doubleday Publishing
+4 Nicholas Sparks           SAFE HAVEN   Grand Central Publishing
+5  David Baldacci        THE FORGOTTEN   Grand Central Publishing</code></pre>
+</div>
+<div id="twitter" class="section level2">
+<h2>Twitter</h2>
+<p>The twitter API requires OAuth2 authentication. Some example
+code:</p>
+<pre class="r"><code>#Create your own appication key at https://dev.twitter.com/apps
+consumer_key = &quot;EZRy5JzOH2QQmVAe9B4j2w&quot;;
+consumer_secret = &quot;OIDC4MdfZJ82nbwpZfoUO4WOLTYjoRhpHRAWj6JMec&quot;;
+
+#Use basic auth
+secret &lt;- jsonlite::base64_enc(paste(consumer_key, consumer_secret, sep = &quot;:&quot;))
+req &lt;- httr::POST(&quot;https://api.twitter.com/oauth2/token&quot;,
+  httr::add_headers(
+    &quot;Authorization&quot; = paste(&quot;Basic&quot;, gsub(&quot;\n&quot;, &quot;&quot;, secret)),
+    &quot;Content-Type&quot; = &quot;application/x-www-form-urlencoded;charset=UTF-8&quot;
+  ),
+  body = &quot;grant_type=client_credentials&quot;
+);
+
+#Extract the access token
+httr::stop_for_status(req, &quot;authenticate with twitter&quot;)
+token &lt;- paste(&quot;Bearer&quot;, httr::content(req)$access_token)
+
+#Actual API call
+url &lt;- &quot;https://api.twitter.com/1.1/statuses/user_timeline.json?count=10&amp;screen_name=Rbloggers&quot;
+req &lt;- httr::GET(url, httr::add_headers(Authorization = token))
+json &lt;- httr::content(req, as = &quot;text&quot;)
+tweets &lt;- fromJSON(json)
+substring(tweets$text, 1, 100)</code></pre>
+<pre><code> [1] &quot;Surface reconstruction with R(CGAL)  {https://t.co/Kou9gFUmod} #rstats #DataScience&quot;                 
+ [2] &quot;A dashboard illustrating bivariate time series forecasting with `ahead`  {https://t.co/HYS6UIKMgl} #&quot;
+ [3] &quot;Handling Categorical Data in R â€“ Part 4  {https://t.co/aZa7O7Ppxd} #rstats #DataScience&quot;             
+ [4] &quot;Solving the â€˜preserving the sum after roundingâ€™ problem for a soccer waffle viz  {https://t.co/uNtOL&quot;
+ [5] &quot;Community Management Transition for rOpenSci. A Message from Stefanie Butland  {https://t.co/r7YuZjV&quot;
+ [6] &quot;New R job: Data Services Specialist https://t.co/sy2goVMxbq #rstats #DataScience #jobs&quot;              
+ [7] &quot;RTutor: Gasoline Taxes and Consumer Behavior  {https://t.co/nIxUNfihoK} #rstats #DataScience&quot;        
+ [8] &quot;Shinywordle: A shiny app to solve the game Worldle and the power of regular expressions  {https://t.&quot;
+ [9] &quot;10 New books added to Big Book of R  {https://t.co/jD0IYutHTN} #rstats #DataScience&quot;                 
+[10] &quot;Clipping an isosurface to a ball, and more  {https://t.co/Yz0qbSB3IB} #rstats #DataScience&quot;          </code></pre>
+</div>
+
+
+
+
+</div>
+
+<script>
+
+// add bootstrap table styles to pandoc tables
+function bootstrapStylePandocTables() {
+  $('tr.odd').parent('tbody').parent('table').addClass('table table-condensed');
+}
+$(document).ready(function () {
+  bootstrapStylePandocTables();
+});
+
+
+</script>
+
+<!-- tabsets -->
+
+<script>
+$(document).ready(function () {
+  window.buildTabsets("TOC");
+});
+
+$(document).ready(function () {
+  $('.tabset-dropdown > .nav-tabs > li').click(function () {
+    $(this).parent().toggleClass('nav-tabs-open');
+  });
+});
+</script>
+
+<!-- code folding -->
+
+
+<!-- dynamically load mathjax for compatibility with self-contained -->
+<script>
+  (function () {
+    var script = document.createElement("script");
+    script.type = "text/javascript";
+    script.src  = "https://mathjax.rstudio.com/latest/MathJax.js?config=TeX-AMS-MML_HTMLorMML";
+    document.getElementsByTagName("head")[0].appendChild(script);
+  })();
+</script>
+
+</body>
+</html>

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@@ -0,0 +1,6 @@
+%\VignetteIndexEntry{Simple JSON RPC with OpenCPU}
+%\VignetteEngine{R.rsp::asis}
+%\VignetteKeyword{PDF}
+%\VignetteKeyword{HTML}
+%\VignetteKeyword{vignette}
+%\VignetteKeyword{package}
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===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/jsonlite/doc/json-mapping.pdf.asis	(revision 0)
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@@ -0,0 +1,6 @@
+%\VignetteIndexEntry{A mapping between JSON data and R objects}
+%\VignetteEngine{R.rsp::asis}
+%\VignetteKeyword{PDF}
+%\VignetteKeyword{HTML}
+%\VignetteKeyword{vignette}
+%\VignetteKeyword{package}
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===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/jquerylib/R/jquerylib	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/jquerylib/R/jquerylib	(revision 3761)
@@ -0,0 +1,27 @@
+#  File share/R/nspackloader.R
+#  Part of the R package, https://www.R-project.org
+#
+#  Copyright (C) 1995-2012 The R Core Team
+#
+#  This program is free software; you can redistribute it and/or modify
+#  it under the terms of the GNU General Public License as published by
+#  the Free Software Foundation; either version 2 of the License, or
+#  (at your option) any later version.
+#
+#  This program is distributed in the hope that it will be useful,
+#  but WITHOUT ANY WARRANTY; without even the implied warranty of
+#  MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
+#  GNU General Public License for more details.
+#
+#  A copy of the GNU General Public License is available at
+#  https://www.r-project.org/Licenses/
+
+local({
+    info <- loadingNamespaceInfo()
+    pkg <- info$pkgname
+    ns <- .getNamespace(as.name(pkg))
+    if (is.null(ns))
+        stop("cannot find namespace environment for ", pkg, domain = NA);
+    dbbase <- file.path(info$libname, pkg, "R", pkg)
+    lazyLoad(dbbase, ns, filter = function(n) n != ".__NAMESPACE__.")
+})
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+@media screen {
+    .container {
+	padding-right: 10px;
+	padding-left: 10px;
+	margin-right: auto;
+	margin-left: auto;
+	max-width: 900px;
+    }
+}
+
+.rimage img { /* from knitr - for examples and demos */
+    width: 96%;
+    margin-left: 2%;
+} 	
+
+.katex { font-size: 1.1em; }
+
+code {
+    color: inherit;
+    background: inherit;
+}
+
+body {
+    line-height: 1.4;
+    background: white;
+    color: black;
+}
+
+a:link {
+    background: white;
+    color: blue;
+}
+
+a:visited {
+    background: white;
+    color: rgb(50%, 0%, 50%);
+}
+
+h1 {
+    background: white;
+    color: rgb(55%, 55%, 55%);
+    font-family: monospace;
+    font-size: 1.4em; /* x-large; */
+    text-align: center;
+}
+
+h2 {
+    background: white;
+    color: rgb(40%, 40%, 40%);
+    font-family: monospace;
+    font-size: 1.2em; /* large; */
+    text-align: center;
+}
+
+h3 {
+    background: white;
+    color: rgb(40%, 40%, 40%);
+    font-family: monospace;
+    font-size: 1.2em; /* large; */
+}
+
+h4 {
+    background: white;
+    color: rgb(40%, 40%, 40%);
+    font-family: monospace;
+    font-style: italic;
+    font-size: 1.2em; /* large; */
+}
+
+h5 {
+    background: white;
+    color: rgb(40%, 40%, 40%);
+    font-family: monospace;
+}
+
+h6 {
+    background: white;
+    color: rgb(40%, 40%, 40%);
+    font-family: monospace;
+    font-style: italic;
+}
+
+img.toplogo {
+    width: 4em;
+    vertical-align: middle;
+}
+
+img.arrow {
+    width: 30px;
+    height: 30px;
+    border: 0;
+}
+
+span.acronym {
+    font-size: small;
+}
+
+span.env {
+    font-family: monospace;
+}
+
+span.file {
+    font-family: monospace;
+}
+
+span.option{
+    font-family: monospace;
+}
+
+span.pkg {
+    font-weight: bold;
+}
+
+span.samp{
+    font-family: monospace;
+}
+
+div.vignettes a:hover {
+    background: rgb(85%, 85%, 85%);
+}

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--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/jquerylib/html/00Index.html	(revision 0)
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@@ -0,0 +1,27 @@
+<!DOCTYPE html>
+<html>
+<head><title>R: Obtain 'jQuery' as an HTML Dependency Object</title>
+<meta http-equiv="Content-Type" content="text/html; charset=utf-8" />
+<meta name="viewport" content="width=device-width, initial-scale=1.0, user-scalable=yes" />
+<link rel="stylesheet" type="text/css" href="R.css" />
+</head><body><div class="container">
+<h1> Obtain 'jQuery' as an HTML Dependency Object
+<img class="toplogo" src="../../../doc/html/Rlogo.svg" alt="[R logo]" />
+</h1>
+<hr/>
+<div style="text-align: center;">
+<a href="../../../doc/html/packages.html"><img class="arrow" src="../../../doc/html/left.jpg" alt="[Up]" /></a>
+<a href="../../../doc/html/index.html"><img class="arrow" src="../../../doc/html/up.jpg" alt="[Top]" /></a>
+</div><h2>Documentation for package &lsquo;jquerylib&rsquo; version 0.1.4</h2>
+
+<ul><li><a href="../DESCRIPTION">DESCRIPTION file</a>.</li>
+</ul>
+
+<h2>Help Pages</h2>
+
+
+<table style="width: 100%;">
+<tr><td style="width: 25%;"><a href="jquery_core.html">jquery_core</a></td>
+<td>Obtain jQuery Core as an HTML dependency</td></tr>
+</table>
+</div></body></html>

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===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/jquerylib/help/AnIndex	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/jquerylib/help/AnIndex	(revision 3761)
@@ -0,0 +1 @@
+jquery_core	jquery_core
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Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/DT/examples/DT-selection/rsconnect/shinyapps.io/yihui/DT-selection.dcf
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/DT/examples/DT-selection/rsconnect/shinyapps.io/yihui/DT-selection.dcf	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/DT/examples/DT-selection/rsconnect/shinyapps.io/yihui/DT-selection.dcf	(revision 3761)
@@ -0,0 +1,9 @@
+name: DT-selection
+account: yihui
+server: shinyapps.io
+appId: 51473
+bundleId: 519194
+url: https://yihui.shinyapps.io/DT-selection/
+when: 1469809303.27552
+asMultiple: FALSE
+asStatic: FALSE
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/bslib/lib/bsw5/LICENSE
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/bslib/lib/bsw5/LICENSE	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/bslib/lib/bsw5/LICENSE	(revision 3761)
@@ -0,0 +1,21 @@
+The MIT License (MIT)
+
+Copyright (c) 2013 Thomas Park
+
+Permission is hereby granted, free of charge, to any person obtaining a copy
+of this software and associated documentation files (the "Software"), to deal
+in the Software without restriction, including without limitation the rights
+to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
+copies of the Software, and to permit persons to whom the Software is
+furnished to do so, subject to the following conditions:
+
+The above copyright notice and this permission notice shall be included in
+all copies or substantial portions of the Software.
+
+THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN
+THE SOFTWARE.
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/bslib/lib/bsw5/package.json
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/bslib/lib/bsw5/package.json	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/bslib/lib/bsw5/package.json	(revision 3761)
@@ -0,0 +1,24 @@
+{
+  "name": "bootswatch",
+  "description": "Bootswatch is a collection of themes for Bootstrap.",
+  "version": "5.2.2",
+  "author": "Thomas Park",
+  "homepage": "https://bootswatch.com",
+  "license": "MIT",
+  "repository": {
+    "type": "git",
+    "url": "git+https://github.com/thomaspark/bootswatch.git"
+  },
+  "bugs": {
+    "url": "https://github.com/thomaspark/bootswatch/issues"
+  },
+  "scripts": {
+    "build": "grunt swatch",
+    "docs": "grunt docs",
+    "htmllint": "grunt htmllint",
+    "stylelint": "stylelint \"dist/**/*.scss\" --rd",
+    "release": "grunt release",
+    "test": "npm run stylelint"
+  },
+  "files": "dist/**/*.{css,scss}"
+}
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/bslib/lib/bsw5/README.md
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/bslib/lib/bsw5/README.md	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/bslib/lib/bsw5/README.md	(revision 3761)
@@ -0,0 +1,161 @@
+<p align="center">
+  <img width="200" height="200" src="https://bootswatch.com/_assets/img/logo-dark.svg">
+</p>
+
+<h3 align="center">Bootswatch</h3>
+
+<p align="center">
+  A collection of open source themes for <a href="https://getbootstrap.com/">Bootstrap</a>
+  <br>
+  <a href="https://bootswatch.com"><strong>View Bootswatch themes Â»</strong></a>
+  <br>
+  <br>
+  <a href="https://github.com/thomaspark/bootswatch/issues/new">Report bug</a>
+  Â·
+  <a href="https://github.com/thomaspark/bootswatch/issues/new">Request feature</a>
+  Â·
+  <a href="https://blog.bootswatch.com/">Blog</a>
+</p>
+
+## Usage
+
+There are a few different ways you can integrate Bootswatch into your project.
+
+### Via Pre-compiled Asset
+
+Download the `bootstrap.min.css` file associated with a theme and replace
+Bootstrap's default stylesheet. You must still include Bootstrap's JavaScript
+file to have functional dropdowns, modals, etc.
+
+### Via CDN
+
+You can use the themes via CDN at [jsDelivr](https://www.jsdelivr.com/package/npm/bootswatch).
+
+### Via Sass Imports
+
+If you're using [Sass](https://sass-lang.com/) (SCSS) in your project, you can
+import the `_variables.scss` and `_bootswatch.scss` files for a given theme.
+This method allows you to override theme variables.
+
+```scss
+// Your variable overrides go here, e.g.:
+// $h1-font-size: 3rem;
+
+@import "~bootswatch/dist/[theme]/variables";
+@import "~bootstrap/scss/bootstrap";
+@import "~bootswatch/dist/[theme]/bootswatch";
+```
+
+Make sure to import Bootstrap's `bootstrap.scss` in between `_variables.scss`
+and `_bootswatch.scss`!
+
+### Via npm
+
+You can install as a package with the command `npm install bootswatch`.
+
+#### React Users (`create-react-app`, or similar bundler)
+
+Modern JavaScript bundlers (webpack, parcel, rollup) support `import`ing CSS from JS files. This can make it easier to deploy various 1st and 3rd party assets predictably. Note: _There are tradeoffs to the following method, research your tooling before deploying to production._
+
+Before continuing, ensure you've run `npm install bootswatch` in your local project folder. (Use either `npm` or `yarn`.)
+
+Add the following `import` to your top-level `index.js` (or `App.js`) file. Add it **before** any other `.css` imports.
+
+```js
+import "bootswatch/dist/[theme]/bootstrap.min.css";
+// TODO: Note: Replace ^[theme]^ (examples: darkly, slate, cosmo, spacelab, and superhero. See https://bootswatch.com for current theme names.)
+```
+
+
+Here's an example of updated `imports` in `App.js` to use "slate" theme (using a `create-react-app` fresh project.)
+
+```js
+import React from 'react';
+import logo from './logo.svg';
+import 'bootswatch/dist/slate/bootstrap.min.css'; // Added this :boom:
+import './App.css';
+
+function App() {
+...
+```
+
+
+### Via Ruby Gem
+
+In your Ruby project, you can access the latest version of each theme by adding
+the following to your Gemfile and running `bundle install`:
+
+```ruby
+gem "bootswatch", github: "thomaspark/bootswatch"
+```
+
+Each theme directory is then accessible via the path
+`"#{Gem.loaded_specs["bootswatch"].load_paths.first}/[theme]"`.
+
+Ruby on Rails users can add the following to an initializer (e.g.
+`config/initializers/bootswatch.rb`):
+
+```ruby
+Rails.application.config.assets.paths += Gem.loaded_specs["bootswatch"].load_paths
+```
+
+And thus be able to import themes via Sass like so:
+
+```scss
+@import "[theme]/variables";
+@import "~bootstrap/scss/bootstrap";
+@import "[theme]/bootswatch";
+```
+
+### Via API
+
+A simple JSON API is available for integrating your platform with Bootswatch.
+More info can be found on the [Help page](https://bootswatch.com/help/#api).
+
+
+## Customization
+
+Bootswatch is open source and youâ€™re welcome to modify the themes.
+
+Each theme consists of two SASS files. `_variables.scss`, which is included by default in Bootstrap, allows you to customize the settings. `_bootswatch.scss` introduces more extensive structural changes.
+
+Check out the [Help page](https://bootswatch.com/help/#customization) for more details on building your own theme.
+
+
+## Contributing
+
+It's through your contributions that Bootswatch will continue to improve. You can contribute in several ways.
+
+**Issues:** Provide a detailed report of any bugs you encounter and open an issue on [GitHub](https://github.com/thomaspark/bootswatch/issues).
+
+**Documentation:** If you'd like to fix a typo or beef up the docs, you can fork the project, make your changes, and submit a pull request.
+
+**Code:** Make a fix and submit it as a pull request. When making changes, it's important to keep the CSS and SASS versions in sync. To do this, be sure to edit the SASS source files for the particular theme first, then run the  tasks `grunt swatch` to build the CSS.
+
+**Donation:** Donations are gratefully accepted via [GitHub](https://github.com/sponsors/thomaspark) and [PayPal](https://www.paypal.com/cgi-bin/webscr?cmd=_s-xclick&hosted_button_id=PU2DH4BMF9MWS&source=url).
+
+
+## Author
+
+Thomas Park
+
+* <https://github.com/thomaspark>
+* <https://thomaspark.co/>
+
+
+## Thanks
+
+[Mark Otto](https://github.com/mdo) and [Jacob Thornton](https://github.com/fat) for [Bootstrap](https://github.com/twbs/bootstrap).
+
+[Jenil Gogari](https://jgog.in/) for his contributions to the Flatly theme.
+
+[James Taylor](https://github.com/jostylr) for [cors-lite](https://github.com/jostylr/cors-lite).
+
+[Corey Sewell](https://github.com/cjsewell) for SASS conversion.
+
+
+## Copyright and License
+
+Copyright 2014-2021 Thomas Park
+
+Code released under the MIT License.
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/bslib/lib/bs4/scss/vendor/_rfs.scss
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/bslib/lib/bs4/scss/vendor/_rfs.scss	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/bslib/lib/bs4/scss/vendor/_rfs.scss	(revision 3761)
@@ -0,0 +1,204 @@
+// stylelint-disable property-blacklist, scss/dollar-variable-default
+
+// SCSS RFS mixin
+//
+// Automated font-resizing
+//
+// See https://github.com/twbs/rfs
+
+// Configuration
+
+// Base font size
+$rfs-base-font-size: 1.25rem !default;
+$rfs-font-size-unit: rem !default;
+
+// Breakpoint at where font-size starts decreasing if screen width is smaller
+$rfs-breakpoint: 1200px !default;
+$rfs-breakpoint-unit: px !default;
+
+// Resize font-size based on screen height and width
+$rfs-two-dimensional: false !default;
+
+// Factor of decrease
+$rfs-factor: 10 !default;
+
+@if type-of($rfs-factor) != "number" or $rfs-factor <= 1 {
+  @error "`#{$rfs-factor}` is not a valid  $rfs-factor, it must be greater than 1.";
+}
+
+// Generate enable or disable classes. Possibilities: false, "enable" or "disable"
+$rfs-class: false !default;
+
+// 1 rem = $rfs-rem-value px
+$rfs-rem-value: 16 !default;
+
+// Safari iframe resize bug: https://github.com/twbs/rfs/issues/14
+$rfs-safari-iframe-resize-bug-fix: false !default;
+
+// Disable RFS by setting $enable-responsive-font-sizes to false
+$enable-responsive-font-sizes: true !default;
+
+// Cache $rfs-base-font-size unit
+$rfs-base-font-size-unit: unit($rfs-base-font-size);
+
+// Remove px-unit from $rfs-base-font-size for calculations
+@if $rfs-base-font-size-unit == "px" {
+  $rfs-base-font-size: $rfs-base-font-size / ($rfs-base-font-size * 0 + 1);
+}
+@else if $rfs-base-font-size-unit == "rem" {
+  $rfs-base-font-size: $rfs-base-font-size / ($rfs-base-font-size * 0 + 1 / $rfs-rem-value);
+}
+
+// Cache $rfs-breakpoint unit to prevent multiple calls
+$rfs-breakpoint-unit-cache: unit($rfs-breakpoint);
+
+// Remove unit from $rfs-breakpoint for calculations
+@if $rfs-breakpoint-unit-cache == "px" {
+  $rfs-breakpoint: $rfs-breakpoint / ($rfs-breakpoint * 0 + 1);
+}
+@else if $rfs-breakpoint-unit-cache == "rem" or $rfs-breakpoint-unit-cache == "em" {
+  $rfs-breakpoint: $rfs-breakpoint / ($rfs-breakpoint * 0 + 1 / $rfs-rem-value);
+}
+
+// Responsive font-size mixin
+@mixin rfs($fs, $important: false) {
+  // Cache $fs unit
+  $fs-unit: if(type-of($fs) == "number", unit($fs), false);
+
+  // Add !important suffix if needed
+  $rfs-suffix: if($important, " !important", "");
+
+  // If $fs isn't a number (like inherit) or $fs has a unit (not px or rem, like 1.5em) or $ is 0, just print the value
+  @if not $fs-unit or $fs-unit != "" and $fs-unit != "px" and $fs-unit != "rem" or $fs == 0 {
+    font-size: #{$fs}#{$rfs-suffix};
+  }
+  @else {
+    // Variables for storing static and fluid rescaling
+    $rfs-static: null;
+    $rfs-fluid: null;
+
+    // Remove px-unit from $fs for calculations
+    @if $fs-unit == "px" {
+      $fs: $fs / ($fs * 0 + 1);
+    }
+    @else if $fs-unit == "rem" {
+      $fs: $fs / ($fs * 0 + 1 / $rfs-rem-value);
+    }
+
+    // Set default font-size
+    @if $rfs-font-size-unit == rem {
+      $rfs-static: #{$fs / $rfs-rem-value}rem#{$rfs-suffix};
+    }
+    @else if $rfs-font-size-unit == px {
+      $rfs-static: #{$fs}px#{$rfs-suffix};
+    }
+    @else {
+      @error "`#{$rfs-font-size-unit}` is not a valid unit for $rfs-font-size-unit. Use `px` or `rem`.";
+    }
+
+    // Only add media query if font-size is bigger as the minimum font-size
+    // If $rfs-factor == 1, no rescaling will take place
+    @if $fs > $rfs-base-font-size and $enable-responsive-font-sizes {
+      $min-width: null;
+      $variable-unit: null;
+
+      // Calculate minimum font-size for given font-size
+      $fs-min: $rfs-base-font-size + ($fs - $rfs-base-font-size) / $rfs-factor;
+
+      // Calculate difference between given font-size and minimum font-size for given font-size
+      $fs-diff: $fs - $fs-min;
+
+      // Base font-size formatting
+      // No need to check if the unit is valid, because we did that before
+      $min-width: if($rfs-font-size-unit == rem, #{$fs-min / $rfs-rem-value}rem, #{$fs-min}px);
+
+      // If two-dimensional, use smallest of screen width and height
+      $variable-unit: if($rfs-two-dimensional, vmin, vw);
+
+      // Calculate the variable width between 0 and $rfs-breakpoint
+      $variable-width: #{$fs-diff * 100 / $rfs-breakpoint}#{$variable-unit};
+
+      // Set the calculated font-size.
+      $rfs-fluid: calc(#{$min-width} + #{$variable-width}) #{$rfs-suffix};
+    }
+
+    // Rendering
+    @if $rfs-fluid == null {
+      // Only render static font-size if no fluid font-size is available
+      font-size: $rfs-static;
+    }
+    @else {
+      $mq-value: null;
+
+      // RFS breakpoint formatting
+      @if $rfs-breakpoint-unit == em or $rfs-breakpoint-unit == rem {
+        $mq-value: #{$rfs-breakpoint / $rfs-rem-value}#{$rfs-breakpoint-unit};
+      }
+      @else if $rfs-breakpoint-unit == px {
+        $mq-value: #{$rfs-breakpoint}px;
+      }
+      @else {
+        @error "`#{$rfs-breakpoint-unit}` is not a valid unit for $rfs-breakpoint-unit. Use `px`, `em` or `rem`.";
+      }
+
+      @if $rfs-class == "disable" {
+        // Adding an extra class increases specificity,
+        // which prevents the media query to override the font size
+        &,
+        .disable-responsive-font-size &,
+        &.disable-responsive-font-size {
+          font-size: $rfs-static;
+        }
+      }
+      @else {
+        font-size: $rfs-static;
+      }
+
+      @if $rfs-two-dimensional {
+        @media (max-width: #{$mq-value}), (max-height: #{$mq-value}) {
+          @if $rfs-class == "enable" {
+            .enable-responsive-font-size &,
+            &.enable-responsive-font-size {
+              font-size: $rfs-fluid;
+            }
+          }
+          @else {
+            font-size: $rfs-fluid;
+          }
+
+          @if $rfs-safari-iframe-resize-bug-fix {
+            // stylelint-disable-next-line length-zero-no-unit
+            min-width: 0vw;
+          }
+        }
+      }
+      @else {
+        @media (max-width: #{$mq-value}) {
+          @if $rfs-class == "enable" {
+            .enable-responsive-font-size &,
+            &.enable-responsive-font-size {
+              font-size: $rfs-fluid;
+            }
+          }
+          @else {
+            font-size: $rfs-fluid;
+          }
+
+          @if $rfs-safari-iframe-resize-bug-fix {
+            // stylelint-disable-next-line length-zero-no-unit
+            min-width: 0vw;
+          }
+        }
+      }
+    }
+  }
+}
+
+// The font-size & responsive-font-size mixin uses RFS to rescale font sizes
+@mixin font-size($fs, $important: false) {
+  @include rfs($fs, $important);
+}
+
+@mixin responsive-font-size($fs, $important: false) {
+  @include rfs($fs, $important);
+}
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/bslib/lib/bs4/scss/mixins/_size.scss
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/bslib/lib/bs4/scss/mixins/_size.scss	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/bslib/lib/bs4/scss/mixins/_size.scss	(revision 3761)
@@ -0,0 +1,7 @@
+// Sizing shortcuts
+
+@mixin size($width, $height: $width) {
+  width: $width;
+  height: $height;
+  @include deprecate("`size()`", "v4.3.0", "v5");
+}
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/bslib/lib/bs4/scss/mixins/_box-shadow.scss
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/bslib/lib/bs4/scss/mixins/_box-shadow.scss	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/bslib/lib/bs4/scss/mixins/_box-shadow.scss	(revision 3761)
@@ -0,0 +1,20 @@
+@mixin box-shadow($shadow...) {
+  @if $enable-shadows {
+    $result: ();
+
+    @if (length($shadow) == 1) {
+      // We can pass `@include box-shadow(none);`
+      $result: $shadow;
+    } @else {
+      // Filter to avoid invalid properties for example `box-shadow: none, 1px 1px black;`
+      @for $i from 1 through length($shadow) {
+        @if nth($shadow, $i) != "none" {
+          $result: append($result, nth($shadow, $i), "comma");
+        }
+      }
+    }
+    @if (length($result) > 0) {
+      box-shadow: $result;
+    }
+  }
+}
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/bslib/lib/bs4/scss/mixins/_screen-reader.scss
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/bslib/lib/bs4/scss/mixins/_screen-reader.scss	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/bslib/lib/bs4/scss/mixins/_screen-reader.scss	(revision 3761)
@@ -0,0 +1,34 @@
+// Only display content to screen readers
+//
+// See: https://www.a11yproject.com/posts/2013-01-11-how-to-hide-content/
+// See: https://hugogiraudel.com/2016/10/13/css-hide-and-seek/
+
+@mixin sr-only() {
+  position: absolute;
+  width: 1px;
+  height: 1px;
+  padding: 0;
+  margin: -1px; // Fix for https://github.com/twbs/bootstrap/issues/25686
+  overflow: hidden;
+  clip: rect(0, 0, 0, 0);
+  white-space: nowrap;
+  border: 0;
+}
+
+// Use in conjunction with .sr-only to only display content when it's focused.
+//
+// Useful for "Skip to main content" links; see https://www.w3.org/TR/2013/NOTE-WCAG20-TECHS-20130905/G1
+//
+// Credit: HTML5 Boilerplate
+
+@mixin sr-only-focusable() {
+  &:active,
+  &:focus {
+    position: static;
+    width: auto;
+    height: auto;
+    overflow: visible;
+    clip: auto;
+    white-space: normal;
+  }
+}
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/bslib/lib/bs4/scss/mixins/_grid-framework.scss
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/bslib/lib/bs4/scss/mixins/_grid-framework.scss	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/bslib/lib/bs4/scss/mixins/_grid-framework.scss	(revision 3761)
@@ -0,0 +1,82 @@
+// Framework grid generation
+//
+// Used only by Bootstrap to generate the correct number of grid classes given
+// any value of `$grid-columns`.
+
+@mixin make-grid-columns($columns: $grid-columns, $gutter: $grid-gutter-width, $breakpoints: $grid-breakpoints) {
+  // Common properties for all breakpoints
+  %grid-column {
+    position: relative;
+    width: 100%;
+    padding-right: $gutter / 2;
+    padding-left: $gutter / 2;
+  }
+
+  @each $breakpoint in map-keys($breakpoints) {
+    $infix: breakpoint-infix($breakpoint, $breakpoints);
+
+    @if $columns > 0 {
+      // Allow columns to stretch full width below their breakpoints
+      @for $i from 1 through $columns {
+        .col#{$infix}-#{$i} {
+          @extend %grid-column;
+        }
+      }
+    }
+
+    .col#{$infix},
+    .col#{$infix}-auto {
+      @extend %grid-column;
+    }
+
+    @include media-breakpoint-up($breakpoint, $breakpoints) {
+      // Provide basic `.col-{bp}` classes for equal-width flexbox columns
+      .col#{$infix} {
+        flex-basis: 0;
+        -webkit-flex-basis: 0;
+        flex-grow: 1;
+        -webkit-flex-grow: 1;
+        max-width: 100%;
+      }
+
+      @if $grid-row-columns > 0 {
+        @for $i from 1 through $grid-row-columns {
+          .row-cols#{$infix}-#{$i} {
+            @include row-cols($i);
+          }
+        }
+      }
+
+      .col#{$infix}-auto {
+        @include make-col-auto();
+      }
+
+      @if $columns > 0 {
+        @for $i from 1 through $columns {
+          .col#{$infix}-#{$i} {
+            @include make-col($i, $columns);
+          }
+        }
+      }
+
+      .order#{$infix}-first { order: -1; }
+
+      .order#{$infix}-last { order: $columns + 1; }
+
+      @for $i from 0 through $columns {
+        .order#{$infix}-#{$i} { order: $i; }
+      }
+
+      @if $columns > 0 {
+        // `$columns - 1` because offsetting by the width of an entire row isn't possible
+        @for $i from 0 through ($columns - 1) {
+          @if not ($infix == "" and $i == 0) { // Avoid emitting useless .offset-0
+            .offset#{$infix}-#{$i} {
+              @include make-col-offset($i, $columns);
+            }
+          }
+        }
+      }
+    }
+  }
+}
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/bslib/lib/bs4/scss/mixins/_gradients.scss
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/bslib/lib/bs4/scss/mixins/_gradients.scss	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/bslib/lib/bs4/scss/mixins/_gradients.scss	(revision 3761)
@@ -0,0 +1,45 @@
+// Gradients
+
+@mixin gradient-bg($color) {
+  @if $enable-gradients {
+    background: $color linear-gradient(180deg, mix($body-bg, $color, 15%), $color) repeat-x;
+  } @else {
+    background-color: $color;
+  }
+}
+
+// Horizontal gradient, from left to right
+//
+// Creates two color stops, start and end, by specifying a color and position for each color stop.
+@mixin gradient-x($start-color: $gray-700, $end-color: $gray-800, $start-percent: 0%, $end-percent: 100%) {
+  background-image: linear-gradient(to right, $start-color $start-percent, $end-color $end-percent);
+  background-repeat: repeat-x;
+}
+
+// Vertical gradient, from top to bottom
+//
+// Creates two color stops, start and end, by specifying a color and position for each color stop.
+@mixin gradient-y($start-color: $gray-700, $end-color: $gray-800, $start-percent: 0%, $end-percent: 100%) {
+  background-image: linear-gradient(to bottom, $start-color $start-percent, $end-color $end-percent);
+  background-repeat: repeat-x;
+}
+
+@mixin gradient-directional($start-color: $gray-700, $end-color: $gray-800, $deg: 45deg) {
+  background-image: linear-gradient($deg, $start-color, $end-color);
+  background-repeat: repeat-x;
+}
+@mixin gradient-x-three-colors($start-color: $blue, $mid-color: $purple, $color-stop: 50%, $end-color: $red) {
+  background-image: linear-gradient(to right, $start-color, $mid-color $color-stop, $end-color);
+  background-repeat: no-repeat;
+}
+@mixin gradient-y-three-colors($start-color: $blue, $mid-color: $purple, $color-stop: 50%, $end-color: $red) {
+  background-image: linear-gradient($start-color, $mid-color $color-stop, $end-color);
+  background-repeat: no-repeat;
+}
+@mixin gradient-radial($inner-color: $gray-700, $outer-color: $gray-800) {
+  background-image: radial-gradient(circle, $inner-color, $outer-color);
+  background-repeat: no-repeat;
+}
+@mixin gradient-striped($color: rgba($white, .15), $angle: 45deg) {
+  background-image: linear-gradient($angle, $color 25%, transparent 25%, transparent 50%, $color 50%, $color 75%, transparent 75%, transparent);
+}
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/bslib/lib/bs4/scss/mixins/_breakpoints.scss
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/bslib/lib/bs4/scss/mixins/_breakpoints.scss	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/bslib/lib/bs4/scss/mixins/_breakpoints.scss	(revision 3761)
@@ -0,0 +1,123 @@
+// Breakpoint viewport sizes and media queries.
+//
+// Breakpoints are defined as a map of (name: minimum width), order from small to large:
+//
+//    (xs: 0, sm: 576px, md: 768px, lg: 992px, xl: 1200px)
+//
+// The map defined in the `$grid-breakpoints` global variable is used as the `$breakpoints` argument by default.
+
+// Name of the next breakpoint, or null for the last breakpoint.
+//
+//    >> breakpoint-next(sm)
+//    md
+//    >> breakpoint-next(sm, (xs: 0, sm: 576px, md: 768px, lg: 992px, xl: 1200px))
+//    md
+//    >> breakpoint-next(sm, $breakpoint-names: (xs sm md lg xl))
+//    md
+@function breakpoint-next($name, $breakpoints: $grid-breakpoints, $breakpoint-names: map-keys($breakpoints)) {
+  $n: index($breakpoint-names, $name);
+  @return if($n != null and $n < length($breakpoint-names), nth($breakpoint-names, $n + 1), null);
+}
+
+// Minimum breakpoint width. Null for the smallest (first) breakpoint.
+//
+//    >> breakpoint-min(sm, (xs: 0, sm: 576px, md: 768px, lg: 992px, xl: 1200px))
+//    576px
+@function breakpoint-min($name, $breakpoints: $grid-breakpoints) {
+  $min: map-get($breakpoints, $name);
+  @return if($min != 0, $min, null);
+}
+
+// Maximum breakpoint width. Null for the largest (last) breakpoint.
+// The maximum value is calculated as the minimum of the next one less 0.02px
+// to work around the limitations of `min-` and `max-` prefixes and viewports with fractional widths.
+// See https://www.w3.org/TR/mediaqueries-4/#mq-min-max
+// Uses 0.02px rather than 0.01px to work around a current rounding bug in Safari.
+// See https://bugs.webkit.org/show_bug.cgi?id=178261
+//
+//    >> breakpoint-max(sm, (xs: 0, sm: 576px, md: 768px, lg: 992px, xl: 1200px))
+//    767.98px
+@function breakpoint-max($name, $breakpoints: $grid-breakpoints) {
+  $next: breakpoint-next($name, $breakpoints);
+  @return if($next, breakpoint-min($next, $breakpoints) - .02, null);
+}
+
+// Returns a blank string if smallest breakpoint, otherwise returns the name with a dash in front.
+// Useful for making responsive utilities.
+//
+//    >> breakpoint-infix(xs, (xs: 0, sm: 576px, md: 768px, lg: 992px, xl: 1200px))
+//    ""  (Returns a blank string)
+//    >> breakpoint-infix(sm, (xs: 0, sm: 576px, md: 768px, lg: 992px, xl: 1200px))
+//    "-sm"
+@function breakpoint-infix($name, $breakpoints: $grid-breakpoints) {
+  @return if(breakpoint-min($name, $breakpoints) == null, "", "-#{$name}");
+}
+
+// Media of at least the minimum breakpoint width. No query for the smallest breakpoint.
+// Makes the @content apply to the given breakpoint and wider.
+@mixin media-breakpoint-up($name, $breakpoints: $grid-breakpoints) {
+  $min: breakpoint-min($name, $breakpoints);
+  @if $min {
+    @media (min-width: $min) {
+      @content;
+    }
+  } @else {
+    @content;
+  }
+}
+
+// Media of at most the maximum breakpoint width. No query for the largest breakpoint.
+// Makes the @content apply to the given breakpoint and narrower.
+@mixin media-breakpoint-down($name, $breakpoints: $grid-breakpoints) {
+  $max: breakpoint-max($name, $breakpoints);
+  @if $max {
+    @media (max-width: $max) {
+      @content;
+    }
+  } @else {
+    @content;
+  }
+}
+
+// Media that spans multiple breakpoint widths.
+// Makes the @content apply between the min and max breakpoints
+@mixin media-breakpoint-between($lower, $upper, $breakpoints: $grid-breakpoints) {
+  $min: breakpoint-min($lower, $breakpoints);
+  $max: breakpoint-max($upper, $breakpoints);
+
+  @if $min != null and $max != null {
+    @media (min-width: $min) and (max-width: $max) {
+      @content;
+    }
+  } @else if $max == null {
+    @include media-breakpoint-up($lower, $breakpoints) {
+      @content;
+    }
+  } @else if $min == null {
+    @include media-breakpoint-down($upper, $breakpoints) {
+      @content;
+    }
+  }
+}
+
+// Media between the breakpoint's minimum and maximum widths.
+// No minimum for the smallest breakpoint, and no maximum for the largest one.
+// Makes the @content apply only to the given breakpoint, not viewports any wider or narrower.
+@mixin media-breakpoint-only($name, $breakpoints: $grid-breakpoints) {
+  $min: breakpoint-min($name, $breakpoints);
+  $max: breakpoint-max($name, $breakpoints);
+
+  @if $min != null and $max != null {
+    @media (min-width: $min) and (max-width: $max) {
+      @content;
+    }
+  } @else if $max == null {
+    @include media-breakpoint-up($name, $breakpoints) {
+      @content;
+    }
+  } @else if $min == null {
+    @include media-breakpoint-down($name, $breakpoints) {
+      @content;
+    }
+  }
+}
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/bslib/lib/bs4/scss/mixins/_background-variant.scss
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/bslib/lib/bs4/scss/mixins/_background-variant.scss	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/bslib/lib/bs4/scss/mixins/_background-variant.scss	(revision 3761)
@@ -0,0 +1,25 @@
+// stylelint-disable declaration-no-important
+
+// Contextual backgrounds
+
+@mixin bg-variant($parent, $color, $ignore-warning: false) {
+  #{$parent} {
+    background-color: $color !important;
+    color: color-contrast($color);
+  }
+  a#{$parent},
+  button#{$parent} {
+    @include hover-focus() {
+      background-color: darken($color, 10%) !important;
+    }
+  }
+  @include deprecate("The `bg-variant` mixin", "v4.4.0", "v5", $ignore-warning);
+}
+
+@mixin bg-gradient-variant($parent, $color, $ignore-warning: false) {
+  #{$parent} {
+    background: $color linear-gradient(180deg, mix($body-bg, $color, 15%), $color) repeat-x !important;
+    color: color-contrast($color);
+  }
+  @include deprecate("The `bg-gradient-variant` mixin", "v4.5.0", "v5", $ignore-warning);
+}
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/bslib/lib/bs4/scss/mixins/_image.scss
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/bslib/lib/bs4/scss/mixins/_image.scss	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/bslib/lib/bs4/scss/mixins/_image.scss	(revision 3761)
@@ -0,0 +1,36 @@
+// Image Mixins
+// - Responsive image
+// - Retina image
+
+
+// Responsive image
+//
+// Keep images from scaling beyond the width of their parents.
+
+@mixin img-fluid() {
+  // Part 1: Set a maximum relative to the parent
+  max-width: 100%;
+  // Part 2: Override the height to auto, otherwise images will be stretched
+  // when setting a width and height attribute on the img element.
+  height: auto;
+}
+
+
+// Retina image
+//
+// Short retina mixin for setting background-image and -size.
+
+@mixin img-retina($file-1x, $file-2x, $width-1x, $height-1x) {
+  background-image: url($file-1x);
+
+  // Autoprefixer takes care of adding -webkit-min-device-pixel-ratio and -o-min-device-pixel-ratio,
+  // but doesn't convert dppx=>dpi.
+  // There's no such thing as unprefixed min-device-pixel-ratio since it's nonstandard.
+  // Compatibility info: https://caniuse.com/css-media-resolution
+  @media only screen and (min-resolution: 192dpi), // IE9-11 don't support dppx
+    only screen and (min-resolution: 2dppx) { // Standardized
+    background-image: url($file-2x);
+    background-size: $width-1x $height-1x;
+  }
+  @include deprecate("`img-retina()`", "v4.3.0", "v5");
+}
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/bslib/lib/bs4/scss/mixins/_hover.scss
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/bslib/lib/bs4/scss/mixins/_hover.scss	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/bslib/lib/bs4/scss/mixins/_hover.scss	(revision 3761)
@@ -0,0 +1,37 @@
+// Hover mixin and `$enable-hover-media-query` are deprecated.
+//
+// Originally added during our alphas and maintained during betas, this mixin was
+// designed to prevent `:hover` stickiness on iOS-an issue where hover styles
+// would persist after initial touch.
+//
+// For backward compatibility, we've kept these mixins and updated them to
+// always return their regular pseudo-classes instead of a shimmed media query.
+//
+// Issue: https://github.com/twbs/bootstrap/issues/25195
+
+@mixin hover() {
+  &:hover { @content; }
+}
+
+@mixin hover-focus() {
+  &:hover,
+  &:focus {
+    @content;
+  }
+}
+
+@mixin plain-hover-focus() {
+  &,
+  &:hover,
+  &:focus {
+    @content;
+  }
+}
+
+@mixin hover-focus-active() {
+  &:hover,
+  &:focus,
+  &:active {
+    @content;
+  }
+}
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/bslib/lib/bs4/scss/mixins/_grid.scss
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/bslib/lib/bs4/scss/mixins/_grid.scss	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/bslib/lib/bs4/scss/mixins/_grid.scss	(revision 3761)
@@ -0,0 +1,74 @@
+/// Grid system
+//
+// Generate semantic grid columns with these mixins.
+
+@mixin make-container($gutter: $grid-gutter-width) {
+  width: 100%;
+  padding-right: $gutter / 2;
+  padding-left: $gutter / 2;
+  margin-right: auto;
+  margin-left: auto;
+}
+
+@mixin make-row($gutter: $grid-gutter-width) {
+  display: flex;
+  display: -webkit-flex;
+  flex-wrap: wrap;
+  -webkit-flex-wrap: wrap;
+  margin-right: -$gutter / 2;
+  margin-left: -$gutter / 2;
+}
+
+// For each breakpoint, define the maximum width of the container in a media query
+@mixin make-container-max-widths($max-widths: $container-max-widths, $breakpoints: $grid-breakpoints) {
+  @each $breakpoint, $container-max-width in $max-widths {
+    @include media-breakpoint-up($breakpoint, $breakpoints) {
+      max-width: $container-max-width;
+    }
+  }
+  @include deprecate("The `make-container-max-widths` mixin", "v4.5.2", "v5");
+}
+
+@mixin make-col-ready($gutter: $grid-gutter-width) {
+  position: relative;
+  // Prevent columns from becoming too narrow when at smaller grid tiers by
+  // always setting `width: 100%;`. This works because we use `flex` values
+  // later on to override this initial width.
+  width: 100%;
+  padding-right: $gutter / 2;
+  padding-left: $gutter / 2;
+}
+
+@mixin make-col($size, $columns: $grid-columns) {
+  flex: 0 0 percentage($size / $columns);
+  -webkit-flex: 0 0 percentage($size / $columns);
+  // Add a `max-width` to ensure content within each column does not blow out
+  // the width of the column. Applies to IE10+ and Firefox. Chrome and Safari
+  // do not appear to require this.
+  max-width: percentage($size / $columns);
+}
+
+@mixin make-col-auto() {
+  flex: 0 0 auto;
+  -webkit-flex: 0 0 auto;
+  width: auto;
+  max-width: 100%; // Reset earlier grid tiers
+}
+
+@mixin make-col-offset($size, $columns: $grid-columns) {
+  $num: $size / $columns;
+  margin-left: if($num == 0, 0, percentage($num));
+}
+
+// Row columns
+//
+// Specify on a parent element(e.g., .row) to force immediate children into NN
+// numberof columns. Supports wrapping to new lines, but does not do a Masonry
+// style grid.
+@mixin row-cols($count) {
+  > * {
+    flex: 0 0 100% / $count;
+    -webkit-flex: 0 0 100% / $count;
+    max-width: 100% / $count;
+  }
+}
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/bslib/lib/bs4/scss/mixins/_forms.scss
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/bslib/lib/bs4/scss/mixins/_forms.scss	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/bslib/lib/bs4/scss/mixins/_forms.scss	(revision 3761)
@@ -0,0 +1,185 @@
+// Form control focus state
+//
+// Generate a customized focus state and for any input with the specified color,
+// which defaults to the `$input-focus-border-color` variable.
+//
+// We highly encourage you to not customize the default value, but instead use
+// this to tweak colors on an as-needed basis. This aesthetic change is based on
+// WebKit's default styles, but applicable to a wider range of browsers. Its
+// usability and accessibility should be taken into account with any change.
+//
+// Example usage: change the default blue border and shadow to white for better
+// contrast against a dark gray background.
+@mixin form-control-focus($ignore-warning: false) {
+  &:focus {
+    color: $input-focus-color;
+    background-color: $input-focus-bg;
+    border-color: $input-focus-border-color;
+    outline: 0;
+    @if $enable-shadows {
+      @include box-shadow($input-box-shadow, $input-focus-box-shadow);
+    } @else {
+      // Avoid using mixin so we can pass custom focus shadow properly
+      box-shadow: $input-focus-box-shadow;
+    }
+  }
+  @include deprecate("The `form-control-focus()` mixin", "v4.4.0", "v5", $ignore-warning);
+}
+
+// This mixin uses an `if()` technique to be compatible with Dart Sass
+// See https://github.com/sass/sass/issues/1873#issuecomment-152293725 for more details
+@mixin form-validation-state-selector($state) {
+  @if ($state == "valid" or $state == "invalid") {
+    .was-validated #{if(&, "&", "")}:#{$state},
+    #{if(&, "&", "")}.is-#{$state} {
+      @content;
+    }
+  } @else {
+    #{if(&, "&", "")}.is-#{$state} {
+      @content;
+    }
+  }
+}
+
+@mixin form-validation-state($state, $color, $icon) {
+  .#{$state}-feedback {
+    display: none;
+    width: 100%;
+    margin-top: $form-feedback-margin-top;
+    @include font-size($form-feedback-font-size);
+    color: $color;
+  }
+
+  .#{$state}-tooltip {
+    position: absolute;
+    top: 100%;
+    left: 0;
+    z-index: 5;
+    display: none;
+    max-width: 100%; // Contain to parent when possible
+    padding: $form-feedback-tooltip-padding-y $form-feedback-tooltip-padding-x;
+    margin-top: .1rem;
+    @include font-size($form-feedback-tooltip-font-size);
+    line-height: $form-feedback-tooltip-line-height;
+    color: color-contrast($color);
+    background-color: rgba($color, $form-feedback-tooltip-opacity);
+    @include border-radius($form-feedback-tooltip-border-radius);
+
+    // See https://github.com/twbs/bootstrap/pull/31557
+    // Align tooltip to form elements
+    .form-row > .col > &,
+    .form-row > [class*="col-"] > & {
+      left: $form-grid-gutter-width / 2;
+    }
+  }
+
+  @include form-validation-state-selector($state) {
+    ~ .#{$state}-feedback,
+    ~ .#{$state}-tooltip {
+      display: block;
+    }
+  }
+
+  .form-control {
+    @include form-validation-state-selector($state) {
+      border-color: $color;
+
+      @if $enable-validation-icons {
+        padding-right: $input-height-inner;
+        background-image: escape-svg($icon);
+        background-repeat: no-repeat;
+        background-position: right $input-height-inner-quarter center;
+        background-size: $input-height-inner-half $input-height-inner-half;
+      }
+
+      &:focus {
+        border-color: $color;
+        box-shadow: 0 0 0 $input-focus-width rgba($color, .25);
+      }
+    }
+  }
+
+  // stylelint-disable-next-line selector-no-qualifying-type
+  textarea.form-control {
+    @include form-validation-state-selector($state) {
+      @if $enable-validation-icons {
+        padding-right: $input-height-inner;
+        background-position: top $input-height-inner-quarter right $input-height-inner-quarter;
+      }
+    }
+  }
+
+  .custom-select {
+    @include form-validation-state-selector($state) {
+      border-color: $color;
+
+      @if $enable-validation-icons {
+        padding-right: $custom-select-feedback-icon-padding-right;
+        background: $custom-select-background, $custom-select-bg escape-svg($icon) $custom-select-feedback-icon-position / $custom-select-feedback-icon-size no-repeat;
+      }
+
+      &:focus {
+        border-color: $color;
+        box-shadow: 0 0 0 $input-focus-width rgba($color, .25);
+      }
+    }
+  }
+
+  .form-check-input {
+    @include form-validation-state-selector($state) {
+      ~ .form-check-label {
+        color: $color;
+      }
+
+      ~ .#{$state}-feedback,
+      ~ .#{$state}-tooltip {
+        display: block;
+      }
+    }
+  }
+
+  .custom-control-input {
+    @include form-validation-state-selector($state) {
+      ~ .custom-control-label {
+        color: $color;
+
+        &::before {
+          border-color: $color;
+        }
+      }
+
+      &:checked {
+        ~ .custom-control-label::before {
+          border-color: lighten($color, 10%);
+          @include gradient-bg(lighten($color, 10%));
+        }
+      }
+
+      &:focus {
+        ~ .custom-control-label::before {
+          box-shadow: 0 0 0 $input-focus-width rgba($color, .25);
+        }
+
+        &:not(:checked) ~ .custom-control-label::before {
+          border-color: $color;
+        }
+      }
+    }
+  }
+
+  // custom file
+  .custom-file-input {
+    @include form-validation-state-selector($state) {
+      ~ .custom-file-label {
+        border-color: $color;
+      }
+
+      &:focus {
+        ~ .custom-file-label {
+          border-color: $color;
+          box-shadow: 0 0 0 $input-focus-width rgba($color, .25);
+        }
+      }
+    }
+  }
+}
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/bslib/lib/bs4/scss/mixins/_visibility.scss
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/bslib/lib/bs4/scss/mixins/_visibility.scss	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/bslib/lib/bs4/scss/mixins/_visibility.scss	(revision 3761)
@@ -0,0 +1,8 @@
+// stylelint-disable declaration-no-important
+
+// Visibility
+
+@mixin invisible($visibility) {
+  visibility: $visibility !important;
+  @include deprecate("`invisible()`", "v4.3.0", "v5");
+}
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/bslib/lib/bs4/scss/mixins/_pagination.scss
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/bslib/lib/bs4/scss/mixins/_pagination.scss	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/bslib/lib/bs4/scss/mixins/_pagination.scss	(revision 3761)
@@ -0,0 +1,22 @@
+// Pagination
+
+@mixin pagination-size($padding-y, $padding-x, $font-size, $line-height, $border-radius) {
+  .page-link {
+    padding: $padding-y $padding-x;
+    @include font-size($font-size);
+    line-height: $line-height;
+  }
+
+  .page-item {
+    &:first-child {
+      .page-link {
+        @include border-left-radius($border-radius);
+      }
+    }
+    &:last-child {
+      .page-link {
+        @include border-right-radius($border-radius);
+      }
+    }
+  }
+}
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/bslib/lib/bs4/scss/mixins/_transition.scss
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/bslib/lib/bs4/scss/mixins/_transition.scss	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/bslib/lib/bs4/scss/mixins/_transition.scss	(revision 3761)
@@ -0,0 +1,26 @@
+// stylelint-disable property-disallowed-list
+@mixin transition($transition...) {
+  @if length($transition) == 0 {
+    $transition: $transition-base;
+  }
+
+  @if length($transition) > 1 {
+    @each $value in $transition {
+      @if $value == null or $value == none {
+        @warn "The keyword 'none' or 'null' must be used as a single argument.";
+      }
+    }
+  }
+
+  @if $enable-transitions {
+    @if nth($transition, 1) != null {
+      transition: $transition;
+    }
+
+    @if $enable-prefers-reduced-motion-media-query and nth($transition, 1) != null and nth($transition, 1) != none {
+      @media (prefers-reduced-motion: reduce) {
+        transition: none;
+      }
+    }
+  }
+}
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/bslib/lib/bs4/scss/mixins/_text-hide.scss
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/bslib/lib/bs4/scss/mixins/_text-hide.scss	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/bslib/lib/bs4/scss/mixins/_text-hide.scss	(revision 3761)
@@ -0,0 +1,11 @@
+// CSS image replacement
+@mixin text-hide($ignore-warning: false) {
+  // stylelint-disable-next-line font-family-no-missing-generic-family-keyword
+  font: 0/0 a;
+  color: transparent;
+  text-shadow: none;
+  background-color: transparent;
+  border: 0;
+
+  @include deprecate("`text-hide()`", "v4.1.0", "v5", $ignore-warning);
+}
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/bslib/lib/bs4/scss/mixins/_text-emphasis.scss
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/bslib/lib/bs4/scss/mixins/_text-emphasis.scss	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/bslib/lib/bs4/scss/mixins/_text-emphasis.scss	(revision 3761)
@@ -0,0 +1,17 @@
+// stylelint-disable declaration-no-important
+
+// Typography
+
+@mixin text-emphasis-variant($parent, $color, $ignore-warning: false) {
+  #{$parent} {
+    color: $color !important;
+  }
+  @if $emphasized-link-hover-darken-percentage != 0 {
+    a#{$parent} {
+      @include hover-focus() {
+        color: darken($color, $emphasized-link-hover-darken-percentage) !important;
+      }
+    }
+  }
+  @include deprecate("`text-emphasis-variant()`", "v4.4.0", "v5", $ignore-warning);
+}
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/bslib/lib/bs4/scss/mixins/_table-row.scss
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/bslib/lib/bs4/scss/mixins/_table-row.scss	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/bslib/lib/bs4/scss/mixins/_table-row.scss	(revision 3761)
@@ -0,0 +1,39 @@
+// Tables
+
+@mixin table-row-variant($state, $background, $border: null) {
+  // Exact selectors below required to override `.table-striped` and prevent
+  // inheritance to nested tables.
+  .table-#{$state} {
+    &,
+    > th,
+    > td {
+      background-color: $background;
+    }
+
+    @if $border != null {
+      th,
+      td,
+      thead th,
+      tbody + tbody {
+        border-color: $border;
+      }
+    }
+  }
+
+  // Hover states for `.table-hover`
+  // Note: this is not available for cells or rows within `thead` or `tfoot`.
+  .table-hover {
+    $hover-background: darken($background, 5%);
+
+    .table-#{$state} {
+      @include hover() {
+        background-color: $hover-background;
+
+        > td,
+        > th {
+          background-color: $hover-background;
+        }
+      }
+    }
+  }
+}
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/bslib/lib/bs4/scss/mixins/_deprecate.scss
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/bslib/lib/bs4/scss/mixins/_deprecate.scss	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/bslib/lib/bs4/scss/mixins/_deprecate.scss	(revision 3761)
@@ -0,0 +1,10 @@
+// Deprecate mixin
+//
+// This mixin can be used to deprecate mixins or functions.
+// `$enable-deprecation-messages` is a global variable, `$ignore-warning` is a variable that can be passed to
+// some deprecated mixins to suppress the warning (for example if the mixin is still be used in the current version of Bootstrap)
+@mixin deprecate($name, $deprecate-version, $remove-version, $ignore-warning: false) {
+  @if ($enable-deprecation-messages != false and $ignore-warning != true) {
+    @warn "#{$name} has been deprecated as of #{$deprecate-version}. It will be removed entirely in #{$remove-version}.";
+  }
+}
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/bslib/lib/bs4/scss/mixins/_clearfix.scss
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/bslib/lib/bs4/scss/mixins/_clearfix.scss	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/bslib/lib/bs4/scss/mixins/_clearfix.scss	(revision 3761)
@@ -0,0 +1,7 @@
+@mixin clearfix() {
+  &::after {
+    display: block;
+    clear: both;
+    content: "";
+  }
+}
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/bslib/lib/bs4/scss/mixins/_lists.scss
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/bslib/lib/bs4/scss/mixins/_lists.scss	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/bslib/lib/bs4/scss/mixins/_lists.scss	(revision 3761)
@@ -0,0 +1,7 @@
+// Lists
+
+// Unstyled keeps list items block level, just removes default browser padding and list-style
+@mixin list-unstyled() {
+  padding-left: 0;
+  list-style: none;
+}
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/bslib/lib/bs4/scss/mixins/_buttons.scss
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/bslib/lib/bs4/scss/mixins/_buttons.scss	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/bslib/lib/bs4/scss/mixins/_buttons.scss	(revision 3761)
@@ -0,0 +1,111 @@
+// Button variants
+//
+// Easily pump out default styles, as well as :hover, :focus, :active,
+// and disabled options for all buttons
+
+@mixin button-variant($background, $border, $hover-background: darken($background, 7.5%), $hover-border: darken($border, 10%), $active-background: darken($background, 10%), $active-border: darken($border, 12.5%)) {
+  color: color-contrast($background);
+  @include gradient-bg($background);
+  border-color: $border;
+  @include box-shadow($btn-box-shadow);
+
+  @include hover() {
+    color: color-contrast($hover-background);
+    @include gradient-bg($hover-background);
+    border-color: $hover-border;
+  }
+
+  &:focus,
+  &.focus {
+    color: color-contrast($hover-background);
+    @include gradient-bg($hover-background);
+    border-color: $hover-border;
+    @if $enable-shadows {
+      @include box-shadow($btn-box-shadow, 0 0 0 $btn-focus-width rgba(mix(color-contrast($background), $border, 15%), .5));
+    } @else {
+      // Avoid using mixin so we can pass custom focus shadow properly
+      box-shadow: 0 0 0 $btn-focus-width rgba(mix(color-contrast($background), $border, 15%), .5);
+    }
+  }
+
+  // Disabled comes first so active can properly restyle
+  &.disabled,
+  &:disabled {
+    color: color-contrast($background);
+    background-color: $background;
+    border-color: $border;
+    // Remove CSS gradients if they're enabled
+    @if $enable-gradients {
+      background-image: none;
+    }
+  }
+
+  &:not(:disabled):not(.disabled):active,
+  &:not(:disabled):not(.disabled).active,
+  .show > &.dropdown-toggle {
+    color: color-contrast($active-background);
+    background-color: $active-background;
+    @if $enable-gradients {
+      background-image: none; // Remove the gradient for the pressed/active state
+    }
+    border-color: $active-border;
+
+    &:focus {
+      @if $enable-shadows and $btn-active-box-shadow != none {
+        @include box-shadow($btn-active-box-shadow, 0 0 0 $btn-focus-width rgba(mix(color-contrast($background), $border, 15%), .5));
+      } @else {
+        // Avoid using mixin so we can pass custom focus shadow properly
+        box-shadow: 0 0 0 $btn-focus-width rgba(mix(color-contrast($background), $border, 15%), .5);
+      }
+    }
+  }
+}
+
+@mixin button-outline-variant($color, $color-hover: color-contrast($color), $active-background: $color, $active-border: $color) {
+  color: $color;
+  border-color: $color;
+  background-color: transparent;
+
+  @include hover() {
+    color: $color-hover;
+    background-color: $active-background;
+    border-color: $active-border;
+  }
+
+  &:focus,
+  &.focus {
+    box-shadow: 0 0 0 $btn-focus-width rgba($color, .5);
+  }
+
+  &.disabled,
+  &:disabled {
+    color: $color;
+    background-color: transparent;
+  }
+
+  &:not(:disabled):not(.disabled):active,
+  &:not(:disabled):not(.disabled).active,
+  .show > &.dropdown-toggle {
+    color: color-contrast($active-background);
+    background-color: $active-background;
+    border-color: $active-border;
+
+    &:focus {
+      @if $enable-shadows and $btn-active-box-shadow != none {
+        @include box-shadow($btn-active-box-shadow, 0 0 0 $btn-focus-width rgba($color, .5));
+      } @else {
+        // Avoid using mixin so we can pass custom focus shadow properly
+        box-shadow: 0 0 0 $btn-focus-width rgba($color, .5);
+      }
+    }
+  }
+}
+
+// Button sizes
+@mixin button-size($padding-y, $padding-x, $font-size, $line-height, $border-radius) {
+  padding: $padding-y $padding-x;
+  @include font-size($font-size);
+  line-height: $line-height;
+  // Manually declare to provide an override to the browser default
+  @include border-radius($border-radius, 0);
+}
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/bslib/lib/bs4/scss/mixins/_caret.scss
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/bslib/lib/bs4/scss/mixins/_caret.scss	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/bslib/lib/bs4/scss/mixins/_caret.scss	(revision 3761)
@@ -0,0 +1,62 @@
+@mixin caret-down() {
+  border-top: $caret-width solid;
+  border-right: $caret-width solid transparent;
+  border-bottom: 0;
+  border-left: $caret-width solid transparent;
+}
+
+@mixin caret-up() {
+  border-top: 0;
+  border-right: $caret-width solid transparent;
+  border-bottom: $caret-width solid;
+  border-left: $caret-width solid transparent;
+}
+
+@mixin caret-right() {
+  border-top: $caret-width solid transparent;
+  border-right: 0;
+  border-bottom: $caret-width solid transparent;
+  border-left: $caret-width solid;
+}
+
+@mixin caret-left() {
+  border-top: $caret-width solid transparent;
+  border-right: $caret-width solid;
+  border-bottom: $caret-width solid transparent;
+}
+
+@mixin caret($direction: down) {
+  @if $enable-caret {
+    &::after {
+      display: inline-block;
+      margin-left: $caret-spacing;
+      vertical-align: $caret-vertical-align;
+      content: "";
+      @if $direction == down {
+        @include caret-down();
+      } @else if $direction == up {
+        @include caret-up();
+      } @else if $direction == right {
+        @include caret-right();
+      }
+    }
+
+    @if $direction == left {
+      &::after {
+        display: none;
+      }
+
+      &::before {
+        display: inline-block;
+        margin-right: $caret-spacing;
+        vertical-align: $caret-vertical-align;
+        content: "";
+        @include caret-left();
+      }
+    }
+
+    &:empty::after {
+      margin-left: 0;
+    }
+  }
+}
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/bslib/lib/bs4/scss/mixins/_resize.scss
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/bslib/lib/bs4/scss/mixins/_resize.scss	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/bslib/lib/bs4/scss/mixins/_resize.scss	(revision 3761)
@@ -0,0 +1,6 @@
+// Resize anything
+
+@mixin resizable($direction) {
+  overflow: auto; // Per CSS3 UI, `resize` only applies when `overflow` isn't `visible`
+  resize: $direction; // Options: horizontal, vertical, both
+}
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/bslib/lib/bs4/scss/mixins/_badge.scss
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/bslib/lib/bs4/scss/mixins/_badge.scss	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/bslib/lib/bs4/scss/mixins/_badge.scss	(revision 3761)
@@ -0,0 +1,17 @@
+@mixin badge-variant($bg) {
+  color: color-contrast($bg);
+  background-color: $bg;
+
+  @at-root a#{&} {
+    @include hover-focus() {
+      color: color-contrast($bg);
+      background-color: darken($bg, 10%);
+    }
+
+    &:focus,
+    &.focus {
+      outline: 0;
+      box-shadow: 0 0 0 $badge-focus-width rgba($bg, .5);
+    }
+  }
+}
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/bslib/lib/bs4/scss/mixins/_border-radius.scss
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/bslib/lib/bs4/scss/mixins/_border-radius.scss	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/bslib/lib/bs4/scss/mixins/_border-radius.scss	(revision 3761)
@@ -0,0 +1,76 @@
+// stylelint-disable property-disallowed-list
+// Single side border-radius
+
+// Helper function to replace negative values with 0
+@function valid-radius($radius) {
+  $return: ();
+  @each $value in $radius {
+    @if type-of($value) == number {
+      $return: append($return, max($value, 0));
+    } @else {
+      $return: append($return, $value);
+    }
+  }
+  @return $return;
+}
+
+@mixin border-radius($radius: $border-radius, $fallback-border-radius: false) {
+  @if $enable-rounded {
+    border-radius: valid-radius($radius);
+  }
+  @else if $fallback-border-radius != false {
+    border-radius: $fallback-border-radius;
+  }
+}
+
+@mixin border-top-radius($radius) {
+  @if $enable-rounded {
+    border-top-left-radius: valid-radius($radius);
+    border-top-right-radius: valid-radius($radius);
+  }
+}
+
+@mixin border-right-radius($radius) {
+  @if $enable-rounded {
+    border-top-right-radius: valid-radius($radius);
+    border-bottom-right-radius: valid-radius($radius);
+  }
+}
+
+@mixin border-bottom-radius($radius) {
+  @if $enable-rounded {
+    border-bottom-right-radius: valid-radius($radius);
+    border-bottom-left-radius: valid-radius($radius);
+  }
+}
+
+@mixin border-left-radius($radius) {
+  @if $enable-rounded {
+    border-top-left-radius: valid-radius($radius);
+    border-bottom-left-radius: valid-radius($radius);
+  }
+}
+
+@mixin border-top-left-radius($radius) {
+  @if $enable-rounded {
+    border-top-left-radius: valid-radius($radius);
+  }
+}
+
+@mixin border-top-right-radius($radius) {
+  @if $enable-rounded {
+    border-top-right-radius: valid-radius($radius);
+  }
+}
+
+@mixin border-bottom-right-radius($radius) {
+  @if $enable-rounded {
+    border-bottom-right-radius: valid-radius($radius);
+  }
+}
+
+@mixin border-bottom-left-radius($radius) {
+  @if $enable-rounded {
+    border-bottom-left-radius: valid-radius($radius);
+  }
+}
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/bslib/lib/bs4/scss/mixins/_reset-text.scss
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/bslib/lib/bs4/scss/mixins/_reset-text.scss	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/bslib/lib/bs4/scss/mixins/_reset-text.scss	(revision 3761)
@@ -0,0 +1,17 @@
+@mixin reset-text() {
+  font-family: $font-family-base;
+  // We deliberately do NOT reset font-size or word-wrap.
+  font-style: normal;
+  font-weight: $font-weight-normal;
+  line-height: $line-height-base;
+  text-align: left; // Fallback for where `start` is not supported
+  text-align: start;
+  text-decoration: none;
+  text-shadow: none;
+  text-transform: none;
+  letter-spacing: normal;
+  word-break: normal;
+  word-spacing: normal;
+  white-space: normal;
+  line-break: auto;
+}
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/bslib/lib/bs4/scss/mixins/_list-group.scss
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/bslib/lib/bs4/scss/mixins/_list-group.scss	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/bslib/lib/bs4/scss/mixins/_list-group.scss	(revision 3761)
@@ -0,0 +1,21 @@
+// List Groups
+
+@mixin list-group-item-variant($state, $background, $color) {
+  .list-group-item-#{$state} {
+    color: $color;
+    background-color: $background;
+
+    &.list-group-item-action {
+      @include hover-focus() {
+        color: $color;
+        background-color: darken($background, 5%);
+      }
+
+      &.active {
+        color: $white;
+        background-color: $color;
+        border-color: $color;
+      }
+    }
+  }
+}
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/bslib/lib/bs4/scss/mixins/_float.scss
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/bslib/lib/bs4/scss/mixins/_float.scss	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/bslib/lib/bs4/scss/mixins/_float.scss	(revision 3761)
@@ -0,0 +1,14 @@
+// stylelint-disable declaration-no-important
+
+@mixin float-left() {
+  float: left !important;
+  @include deprecate("The `float-left` mixin", "v4.3.0", "v5");
+}
+@mixin float-right() {
+  float: right !important;
+  @include deprecate("The `float-right` mixin", "v4.3.0", "v5");
+}
+@mixin float-none() {
+  float: none !important;
+  @include deprecate("The `float-none` mixin", "v4.3.0", "v5");
+}
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/bslib/lib/bs4/scss/mixins/_text-truncate.scss
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/bslib/lib/bs4/scss/mixins/_text-truncate.scss	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/bslib/lib/bs4/scss/mixins/_text-truncate.scss	(revision 3761)
@@ -0,0 +1,8 @@
+// Text truncate
+// Requires inline-block or block for proper styling
+
+@mixin text-truncate() {
+  overflow: hidden;
+  text-overflow: ellipsis;
+  white-space: nowrap;
+}
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/bslib/lib/bs4/scss/mixins/_alert.scss
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/bslib/lib/bs4/scss/mixins/_alert.scss	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/bslib/lib/bs4/scss/mixins/_alert.scss	(revision 3761)
@@ -0,0 +1,13 @@
+@mixin alert-variant($background, $border, $color) {
+  color: $color;
+  @include gradient-bg($background);
+  border-color: $border;
+
+  hr {
+    border-top-color: darken($border, 5%);
+  }
+
+  .alert-link {
+    color: darken($color, 10%);
+  }
+}
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/bslib/lib/bs4/scss/mixins/_nav-divider.scss
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/bslib/lib/bs4/scss/mixins/_nav-divider.scss	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/bslib/lib/bs4/scss/mixins/_nav-divider.scss	(revision 3761)
@@ -0,0 +1,11 @@
+// Horizontal dividers
+//
+// Dividers (basically an hr) within dropdowns and nav lists
+
+@mixin nav-divider($color: $nav-divider-color, $margin-y: $nav-divider-margin-y, $ignore-warning: false) {
+  height: 0;
+  margin: $margin-y 0;
+  overflow: hidden;
+  border-top: 1px solid $color;
+  @include deprecate("The `nav-divider()` mixin", "v4.4.0", "v5", $ignore-warning);
+}
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/bslib/lib/bs4/scss/utilities/_align.scss
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/bslib/lib/bs4/scss/utilities/_align.scss	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/bslib/lib/bs4/scss/utilities/_align.scss	(revision 3761)
@@ -0,0 +1,8 @@
+// stylelint-disable declaration-no-important
+
+.align-baseline    { vertical-align: baseline !important; } // Browser default
+.align-top         { vertical-align: top !important; }
+.align-middle      { vertical-align: middle !important; }
+.align-bottom      { vertical-align: bottom !important; }
+.align-text-bottom { vertical-align: text-bottom !important; }
+.align-text-top    { vertical-align: text-top !important; }
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/bslib/lib/bs4/scss/utilities/_clearfix.scss
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/bslib/lib/bs4/scss/utilities/_clearfix.scss	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/bslib/lib/bs4/scss/utilities/_clearfix.scss	(revision 3761)
@@ -0,0 +1,3 @@
+.clearfix {
+  @include clearfix();
+}
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/bslib/lib/bs4/scss/utilities/_flex.scss
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/bslib/lib/bs4/scss/utilities/_flex.scss	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/bslib/lib/bs4/scss/utilities/_flex.scss	(revision 3761)
@@ -0,0 +1,51 @@
+// stylelint-disable declaration-no-important
+
+// Flex variation
+//
+// Custom styles for additional flex alignment options.
+
+@each $breakpoint in map-keys($grid-breakpoints) {
+  @include media-breakpoint-up($breakpoint) {
+    $infix: breakpoint-infix($breakpoint, $grid-breakpoints);
+
+    .flex#{$infix}-row            { flex-direction: row !important; }
+    .flex#{$infix}-column         { flex-direction: column !important; }
+    .flex#{$infix}-row-reverse    { flex-direction: row-reverse !important; }
+    .flex#{$infix}-column-reverse { flex-direction: column-reverse !important; }
+
+    .flex#{$infix}-wrap         { flex-wrap: wrap !important; }
+    .flex#{$infix}-nowrap       { flex-wrap: nowrap !important; }
+    .flex#{$infix}-wrap-reverse { flex-wrap: wrap-reverse !important; }
+    .flex#{$infix}-fill         { flex: 1 1 auto !important; }
+    .flex#{$infix}-grow-0       { flex-grow: 0 !important; }
+    .flex#{$infix}-grow-1       { flex-grow: 1 !important; }
+    .flex#{$infix}-shrink-0     { flex-shrink: 0 !important; }
+    .flex#{$infix}-shrink-1     { flex-shrink: 1 !important; }
+
+    .justify-content#{$infix}-start   { justify-content: flex-start !important; }
+    .justify-content#{$infix}-end     { justify-content: flex-end !important; }
+    .justify-content#{$infix}-center  { justify-content: center !important; }
+    .justify-content#{$infix}-between { justify-content: space-between !important; }
+    .justify-content#{$infix}-around  { justify-content: space-around !important; }
+
+    .align-items#{$infix}-start    { align-items: flex-start !important; }
+    .align-items#{$infix}-end      { align-items: flex-end !important; }
+    .align-items#{$infix}-center   { align-items: center !important; }
+    .align-items#{$infix}-baseline { align-items: baseline !important; }
+    .align-items#{$infix}-stretch  { align-items: stretch !important; }
+
+    .align-content#{$infix}-start   { align-content: flex-start !important; }
+    .align-content#{$infix}-end     { align-content: flex-end !important; }
+    .align-content#{$infix}-center  { align-content: center !important; }
+    .align-content#{$infix}-between { align-content: space-between !important; }
+    .align-content#{$infix}-around  { align-content: space-around !important; }
+    .align-content#{$infix}-stretch { align-content: stretch !important; }
+
+    .align-self#{$infix}-auto     { align-self: auto !important; }
+    .align-self#{$infix}-start    { align-self: flex-start !important; }
+    .align-self#{$infix}-end      { align-self: flex-end !important; }
+    .align-self#{$infix}-center   { align-self: center !important; }
+    .align-self#{$infix}-baseline { align-self: baseline !important; }
+    .align-self#{$infix}-stretch  { align-self: stretch !important; }
+  }
+}
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/bslib/lib/bs4/scss/utilities/_borders.scss
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/bslib/lib/bs4/scss/utilities/_borders.scss	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/bslib/lib/bs4/scss/utilities/_borders.scss	(revision 3761)
@@ -0,0 +1,75 @@
+// stylelint-disable property-disallowed-list, declaration-no-important
+
+//
+// Border
+//
+
+.border         { border: $border-width solid $border-color !important; }
+.border-top     { border-top: $border-width solid $border-color !important; }
+.border-right   { border-right: $border-width solid $border-color !important; }
+.border-bottom  { border-bottom: $border-width solid $border-color !important; }
+.border-left    { border-left: $border-width solid $border-color !important; }
+
+.border-0        { border: 0 !important; }
+.border-top-0    { border-top: 0 !important; }
+.border-right-0  { border-right: 0 !important; }
+.border-bottom-0 { border-bottom: 0 !important; }
+.border-left-0   { border-left: 0 !important; }
+
+@each $color, $value in $theme-colors {
+  .border-#{$color} {
+    border-color: $value !important;
+  }
+}
+
+.border-white {
+  border-color: $white !important;
+}
+
+//
+// Border-radius
+//
+
+.rounded-sm {
+  border-radius: $border-radius-sm !important;
+}
+
+.rounded {
+  border-radius: $border-radius !important;
+}
+
+.rounded-top {
+  border-top-left-radius: $border-radius !important;
+  border-top-right-radius: $border-radius !important;
+}
+
+.rounded-right {
+  border-top-right-radius: $border-radius !important;
+  border-bottom-right-radius: $border-radius !important;
+}
+
+.rounded-bottom {
+  border-bottom-right-radius: $border-radius !important;
+  border-bottom-left-radius: $border-radius !important;
+}
+
+.rounded-left {
+  border-top-left-radius: $border-radius !important;
+  border-bottom-left-radius: $border-radius !important;
+}
+
+.rounded-lg {
+  border-radius: $border-radius-lg !important;
+}
+
+.rounded-circle {
+  border-radius: 50% !important;
+}
+
+.rounded-pill {
+  border-radius: $rounded-pill !important;
+}
+
+.rounded-0 {
+  border-radius: 0 !important;
+}
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/bslib/lib/bs4/scss/utilities/_interactions.scss
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/bslib/lib/bs4/scss/utilities/_interactions.scss	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/bslib/lib/bs4/scss/utilities/_interactions.scss	(revision 3761)
@@ -0,0 +1,5 @@
+// stylelint-disable declaration-no-important
+
+@each $value in $user-selects {
+  .user-select-#{$value} { user-select: $value !important; }
+}
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/bslib/lib/bs4/scss/utilities/_overflow.scss
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/bslib/lib/bs4/scss/utilities/_overflow.scss	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/bslib/lib/bs4/scss/utilities/_overflow.scss	(revision 3761)
@@ -0,0 +1,5 @@
+// stylelint-disable declaration-no-important
+
+@each $value in $overflows {
+  .overflow-#{$value} { overflow: $value !important; }
+}
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/bslib/lib/bs4/scss/utilities/_sizing.scss
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/bslib/lib/bs4/scss/utilities/_sizing.scss	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/bslib/lib/bs4/scss/utilities/_sizing.scss	(revision 3761)
@@ -0,0 +1,20 @@
+// stylelint-disable declaration-no-important
+
+// Width and height
+
+@each $prop, $abbrev in (width: w, height: h) {
+  @each $size, $length in $sizes {
+    .#{$abbrev}-#{$size} { #{$prop}: $length !important; }
+  }
+}
+
+.mw-100 { max-width: 100% !important; }
+.mh-100 { max-height: 100% !important; }
+
+// Viewport additional helpers
+
+.min-vw-100 { min-width: 100vw !important; }
+.min-vh-100 { min-height: 100vh !important; }
+
+.vw-100 { width: 100vw !important; }
+.vh-100 { height: 100vh !important; }
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/bslib/lib/bs4/scss/utilities/_position.scss
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/bslib/lib/bs4/scss/utilities/_position.scss	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/bslib/lib/bs4/scss/utilities/_position.scss	(revision 3761)
@@ -0,0 +1,32 @@
+// stylelint-disable declaration-no-important
+
+// Common values
+@each $position in $positions {
+  .position-#{$position} { position: $position !important; }
+}
+
+// Shorthand
+
+.fixed-top {
+  position: fixed;
+  top: 0;
+  right: 0;
+  left: 0;
+  z-index: $zindex-fixed;
+}
+
+.fixed-bottom {
+  position: fixed;
+  right: 0;
+  bottom: 0;
+  left: 0;
+  z-index: $zindex-fixed;
+}
+
+.sticky-top {
+  @supports (position: sticky) {
+    position: sticky;
+    top: 0;
+    z-index: $zindex-sticky;
+  }
+}
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/bslib/lib/bs4/scss/utilities/_display.scss
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/bslib/lib/bs4/scss/utilities/_display.scss	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/bslib/lib/bs4/scss/utilities/_display.scss	(revision 3761)
@@ -0,0 +1,26 @@
+// stylelint-disable declaration-no-important
+
+//
+// Utilities for common `display` values
+//
+
+@each $breakpoint in map-keys($grid-breakpoints) {
+  @include media-breakpoint-up($breakpoint) {
+    $infix: breakpoint-infix($breakpoint, $grid-breakpoints);
+
+    @each $value in $displays {
+      .d#{$infix}-#{$value} { display: $value !important; }
+    }
+  }
+}
+
+
+//
+// Utilities for toggling `display` in print
+//
+
+@media print {
+  @each $value in $displays {
+    .d-print-#{$value} { display: $value !important; }
+  }
+}
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/bslib/lib/bs4/scss/utilities/_float.scss
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/bslib/lib/bs4/scss/utilities/_float.scss	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/bslib/lib/bs4/scss/utilities/_float.scss	(revision 3761)
@@ -0,0 +1,11 @@
+// stylelint-disable declaration-no-important
+
+@each $breakpoint in map-keys($grid-breakpoints) {
+  @include media-breakpoint-up($breakpoint) {
+    $infix: breakpoint-infix($breakpoint, $grid-breakpoints);
+
+    .float#{$infix}-left  { float: left !important; }
+    .float#{$infix}-right { float: right !important; }
+    .float#{$infix}-none  { float: none !important; }
+  }
+}
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/bslib/lib/bs4/scss/utilities/_shadows.scss
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/bslib/lib/bs4/scss/utilities/_shadows.scss	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/bslib/lib/bs4/scss/utilities/_shadows.scss	(revision 3761)
@@ -0,0 +1,6 @@
+// stylelint-disable declaration-no-important
+
+.shadow-sm { box-shadow: $box-shadow-sm !important; }
+.shadow { box-shadow: $box-shadow !important; }
+.shadow-lg { box-shadow: $box-shadow-lg !important; }
+.shadow-none { box-shadow: none !important; }
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/bslib/lib/bs4/scss/utilities/_embed.scss
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/bslib/lib/bs4/scss/utilities/_embed.scss	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/bslib/lib/bs4/scss/utilities/_embed.scss	(revision 3761)
@@ -0,0 +1,39 @@
+// Credit: Nicolas Gallagher and SUIT CSS.
+
+.embed-responsive {
+  position: relative;
+  display: block;
+  width: 100%;
+  padding: 0;
+  overflow: hidden;
+
+  &::before {
+    display: block;
+    content: "";
+  }
+
+  .embed-responsive-item,
+  iframe,
+  embed,
+  object,
+  video {
+    position: absolute;
+    top: 0;
+    bottom: 0;
+    left: 0;
+    width: 100%;
+    height: 100%;
+    border: 0;
+  }
+}
+
+@each $embed-responsive-aspect-ratio in $embed-responsive-aspect-ratios {
+  $embed-responsive-aspect-ratio-x: nth($embed-responsive-aspect-ratio, 1);
+  $embed-responsive-aspect-ratio-y: nth($embed-responsive-aspect-ratio, 2);
+
+  .embed-responsive-#{$embed-responsive-aspect-ratio-x}by#{$embed-responsive-aspect-ratio-y} {
+    &::before {
+      padding-top: percentage($embed-responsive-aspect-ratio-y / $embed-responsive-aspect-ratio-x);
+    }
+  }
+}
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/bslib/lib/bs4/scss/utilities/_background.scss
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/bslib/lib/bs4/scss/utilities/_background.scss	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/bslib/lib/bs4/scss/utilities/_background.scss	(revision 3761)
@@ -0,0 +1,20 @@
+// stylelint-disable declaration-no-important
+
+@each $color, $value in $theme-colors {
+  @include bg-variant(".bg-#{$color}", $value, true);
+}
+
+@if $enable-gradients {
+  @each $color, $value in $theme-colors {
+    @include bg-gradient-variant(".bg-gradient-#{$color}", $value, true);
+  }
+}
+
+.bg-white {
+  background-color: $white !important;
+  color: color-contrast($white);
+}
+
+.bg-transparent {
+  background-color: transparent !important;
+}
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/bslib/lib/bs4/scss/utilities/_stretched-link.scss
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/bslib/lib/bs4/scss/utilities/_stretched-link.scss	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/bslib/lib/bs4/scss/utilities/_stretched-link.scss	(revision 3761)
@@ -0,0 +1,19 @@
+//
+// Stretched link
+//
+
+.stretched-link {
+  &::after {
+    position: absolute;
+    top: 0;
+    right: 0;
+    bottom: 0;
+    left: 0;
+    z-index: 1;
+    // Just in case `pointer-events: none` is set on a parent
+    pointer-events: auto;
+    content: "";
+    // IE10 bugfix, see https://stackoverflow.com/questions/16947967/ie10-hover-pseudo-class-doesnt-work-without-background-color
+    background-color: rgba(0, 0, 0, 0);
+  }
+}
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/bslib/lib/bs4/scss/utilities/_spacing.scss
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/bslib/lib/bs4/scss/utilities/_spacing.scss	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/bslib/lib/bs4/scss/utilities/_spacing.scss	(revision 3761)
@@ -0,0 +1,73 @@
+// stylelint-disable declaration-no-important
+
+// Margin and Padding
+
+@each $breakpoint in map-keys($grid-breakpoints) {
+  @include media-breakpoint-up($breakpoint) {
+    $infix: breakpoint-infix($breakpoint, $grid-breakpoints);
+
+    @each $prop, $abbrev in (margin: m, padding: p) {
+      @each $size, $length in $spacers {
+        .#{$abbrev}#{$infix}-#{$size} { #{$prop}: $length !important; }
+        .#{$abbrev}t#{$infix}-#{$size},
+        .#{$abbrev}y#{$infix}-#{$size} {
+          #{$prop}-top: $length !important;
+        }
+        .#{$abbrev}r#{$infix}-#{$size},
+        .#{$abbrev}x#{$infix}-#{$size} {
+          #{$prop}-right: $length !important;
+        }
+        .#{$abbrev}b#{$infix}-#{$size},
+        .#{$abbrev}y#{$infix}-#{$size} {
+          #{$prop}-bottom: $length !important;
+        }
+        .#{$abbrev}l#{$infix}-#{$size},
+        .#{$abbrev}x#{$infix}-#{$size} {
+          #{$prop}-left: $length !important;
+        }
+      }
+    }
+
+    // Negative margins (e.g., where `.mb-n1` is negative version of `.mb-1`)
+    @each $size, $length in $spacers {
+      @if $size != 0 {
+        .m#{$infix}-n#{$size} { margin: -$length !important; }
+        .mt#{$infix}-n#{$size},
+        .my#{$infix}-n#{$size} {
+          margin-top: -$length !important;
+        }
+        .mr#{$infix}-n#{$size},
+        .mx#{$infix}-n#{$size} {
+          margin-right: -$length !important;
+        }
+        .mb#{$infix}-n#{$size},
+        .my#{$infix}-n#{$size} {
+          margin-bottom: -$length !important;
+        }
+        .ml#{$infix}-n#{$size},
+        .mx#{$infix}-n#{$size} {
+          margin-left: -$length !important;
+        }
+      }
+    }
+
+    // Some special margin utils
+    .m#{$infix}-auto { margin: auto !important; }
+    .mt#{$infix}-auto,
+    .my#{$infix}-auto {
+      margin-top: auto !important;
+    }
+    .mr#{$infix}-auto,
+    .mx#{$infix}-auto {
+      margin-right: auto !important;
+    }
+    .mb#{$infix}-auto,
+    .my#{$infix}-auto {
+      margin-bottom: auto !important;
+    }
+    .ml#{$infix}-auto,
+    .mx#{$infix}-auto {
+      margin-left: auto !important;
+    }
+  }
+}
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/bslib/lib/bs4/scss/utilities/_text.scss
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/bslib/lib/bs4/scss/utilities/_text.scss	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/bslib/lib/bs4/scss/utilities/_text.scss	(revision 3761)
@@ -0,0 +1,72 @@
+// stylelint-disable declaration-no-important
+
+//
+// Text
+//
+
+.text-monospace { font-family: $font-family-monospace !important; }
+
+// Alignment
+
+.text-justify  { text-align: justify !important; }
+.text-wrap     { white-space: normal !important; }
+.text-nowrap   { white-space: nowrap !important; }
+.text-truncate { @include text-truncate(); }
+
+// Responsive alignment
+
+@each $breakpoint in map-keys($grid-breakpoints) {
+  @include media-breakpoint-up($breakpoint) {
+    $infix: breakpoint-infix($breakpoint, $grid-breakpoints);
+
+    .text#{$infix}-left   { text-align: left !important; }
+    .text#{$infix}-right  { text-align: right !important; }
+    .text#{$infix}-center { text-align: center !important; }
+  }
+}
+
+// Transformation
+
+.text-lowercase  { text-transform: lowercase !important; }
+.text-uppercase  { text-transform: uppercase !important; }
+.text-capitalize { text-transform: capitalize !important; }
+
+// Weight and italics
+
+.font-weight-light   { font-weight: $font-weight-light !important; }
+.font-weight-lighter { font-weight: $font-weight-lighter !important; }
+.font-weight-normal  { font-weight: $font-weight-normal !important; }
+.font-weight-bold    { font-weight: $font-weight-bold !important; }
+.font-weight-bolder  { font-weight: $font-weight-bolder !important; }
+.font-italic         { font-style: italic !important; }
+
+// Contextual colors
+
+.text-white { color: $white !important; }
+
+@each $color, $value in $theme-colors {
+  @include text-emphasis-variant(".text-#{$color}", $value, true);
+}
+
+.text-body { color: $body-color !important; }
+.text-muted { color: $text-muted !important; }
+
+.text-black-50 { color: rgba($black, .5) !important; }
+.text-white-50 { color: rgba($white, .5) !important; }
+
+// Misc
+
+.text-hide {
+  @include text-hide($ignore-warning: true);
+}
+
+.text-decoration-none { text-decoration: none !important; }
+
+.text-break {
+  word-break: break-word !important; // Deprecated, but avoids issues with flex containers
+  word-wrap: break-word !important; // Used instead of `overflow-wrap` for IE & Edge Legacy
+}
+
+// Reset
+
+.text-reset { color: inherit !important; }
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/bslib/lib/bs4/scss/utilities/_screenreaders.scss
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/bslib/lib/bs4/scss/utilities/_screenreaders.scss	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/bslib/lib/bs4/scss/utilities/_screenreaders.scss	(revision 3761)
@@ -0,0 +1,11 @@
+//
+// Screenreaders
+//
+
+.sr-only {
+  @include sr-only();
+}
+
+.sr-only-focusable {
+  @include sr-only-focusable();
+}
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/bslib/lib/bs4/scss/utilities/_visibility.scss
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/bslib/lib/bs4/scss/utilities/_visibility.scss	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/bslib/lib/bs4/scss/utilities/_visibility.scss	(revision 3761)
@@ -0,0 +1,13 @@
+// stylelint-disable declaration-no-important
+
+//
+// Visibility utilities
+//
+
+.visible {
+  visibility: visible !important;
+}
+
+.invisible {
+  visibility: hidden !important;
+}
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/bslib/lib/bs-a11y-p/package.json
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/bslib/lib/bs-a11y-p/package.json	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/bslib/lib/bs-a11y-p/package.json	(revision 3761)
@@ -0,0 +1,26 @@
+{
+  "name": "bootstrap-accessibility-plugin",
+  "version": "1.0.6",
+  "description": "A plugin that provides accessibility features for Bootstrap3 components",
+  "main": "Gruntfile.js",
+  "homepage": "https://github.com/paypal/bootstrap-accessibility-plugin",
+  "author": "PayPal Accessibility Team",
+  "scripts": {
+    "test": "grunt test"
+  },
+  "repository": {
+    "type": "git",
+    "url": "https://github.com/paypal/bootstrap-accessibility-plugin.git"
+  },
+  "licenses": [
+    {
+      "type": "BSD",
+      "url": "https://github.com/paypal/bootstrap-accessibility-plugin/blob/master/LICENSE.md"
+    }
+  ],
+  "bugs": {
+    "url": "https://github.com/paypal/bootstrap-accessibility-plugin/issues"
+  },
+  "keywords": ["bootstrap", "accessibility"],
+  "license": "BSD"
+}
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/bslib/lib/bs-a11y-p/LICENSE.md
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/bslib/lib/bs-a11y-p/LICENSE.md	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/bslib/lib/bs-a11y-p/LICENSE.md	(revision 3761)
@@ -0,0 +1,27 @@
+Copyright (c) 2014, PayPal
+All rights reserved.
+
+Redistribution and use in source and binary forms, with or without modification,
+are permitted provided that the following conditions are met:
+
+* Redistributions of source code must retain the above copyright notice, this
+  list of conditions and the following disclaimer.
+
+* Redistributions in binary form must reproduce the above copyright notice, this
+  list of conditions and the following disclaimer in the documentation and/or
+  other materials provided with the distribution.
+
+* Neither the name of the PayPal nor the names of its
+  contributors may be used to endorse or promote products derived from
+  this software without specific prior written permission.
+
+THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND
+ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED
+WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
+DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE FOR
+ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES
+(INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES;
+LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON
+ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
+(INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS
+SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/bslib/lib/bsw4/README.md
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/bslib/lib/bsw4/README.md	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/bslib/lib/bsw4/README.md	(revision 3761)
@@ -0,0 +1,161 @@
+<p align="center">
+  <img width="200" height="200" src="https://bootswatch.com/_assets/img/logo-dark.svg">
+</p>
+
+<h3 align="center">Bootswatch</h3>
+
+<p align="center">
+  A collection of open source themes for <a href="https://getbootstrap.com/">Bootstrap</a>
+  <br>
+  <a href="https://bootswatch.com"><strong>View Bootswatch themes Â»</strong></a>
+  <br>
+  <br>
+  <a href="https://github.com/thomaspark/bootswatch/issues/new">Report bug</a>
+  Â·
+  <a href="https://github.com/thomaspark/bootswatch/issues/new">Request feature</a>
+  Â·
+  <a href="https://blog.bootswatch.com/">Blog</a>
+</p>
+
+## Usage
+
+There are a few different ways you can integrate Bootswatch into your project.
+
+### Via Pre-compiled Asset
+
+Download the `bootstrap.min.css` file associated with a theme and replace
+Bootstrap's default stylesheet. You must still include Bootstrap's JavaScript
+file to have functional dropdowns, modals, etc.
+
+### Via CDN
+
+You can use the themes via CDN at [jsDelivr](https://www.jsdelivr.com/package/npm/bootswatch).
+
+### Via Sass Imports
+
+If you're using [Sass](https://sass-lang.com/) (SCSS) in your project, you can
+import the `_variables.scss` and `_bootswatch.scss` files for a given theme.
+This method allows you to override theme variables.
+
+```scss
+// Your variable overrides go here, e.g.:
+// $h1-font-size: 3rem;
+
+@import "~bootswatch/dist/[theme]/variables";
+@import "~bootstrap/scss/bootstrap";
+@import "~bootswatch/dist/[theme]/bootswatch";
+```
+
+Make sure to import Bootstrap's `bootstrap.scss` in between `_variables.scss`
+and `_bootswatch.scss`!
+
+### Via NPM
+
+You can install as a package with the command `npm install bootswatch`.
+
+#### React Users (`create-react-app`, or similar bundler)
+
+Modern JavaScript bundlers (webpack, parcel, rollup) support `import`ing CSS from JS files. This can make it easier to deploy various 1st and 3rd party assets predictably. Note: _There are tradeoffs to the following method, research your tooling before deploying to production._
+
+Before continuing, ensure you've run `npm install bootswatch` in your local project folder. (Use either `npm` or `yarn`.)
+
+Add the following `import` to your top-level `index.js` (or `App.js`) file. Add it **before** any other `.css` imports.
+
+```js
+import "bootswatch/dist/[theme]/bootstrap.min.css";
+// TODO: Note: Replace ^[theme]^ (examples: darkly, slate, cosmo, spacelab, and superhero. See https://bootswatch.com for current theme names.)
+```
+
+
+Here's an example of updated `imports` in `App.js` to use "slate" theme (using a `create-react-app` fresh project.)
+
+```js
+import React from 'react';
+import logo from './logo.svg';
+import 'bootswatch/dist/slate/bootstrap.min.css'; // Added this :boom:
+import './App.css';
+
+function App() {
+...
+```
+
+
+### Via Ruby Gem
+
+In your Ruby project, you can access the latest version of each theme by adding
+the following to your Gemfile and running `bundle install`:
+
+```ruby
+gem "bootswatch", github: "thomaspark/bootswatch"
+```
+
+Each theme directory is then accessible via the path
+`"#{Gem.loaded_specs["bootswatch"].load_paths.first}/[theme]"`.
+
+Ruby on Rails users can add the following to an initializer (e.g.
+`config/initializers/bootswatch.rb`):
+
+```ruby
+Rails.application.config.assets.paths += Gem.loaded_specs["bootswatch"].load_paths
+```
+
+And thus be able to import themes via Sass like so:
+
+```scss
+@import "[theme]/variables";
+@import "~bootstrap/scss/bootstrap";
+@import "[theme]/bootswatch";
+```
+
+### Via API
+
+A simple JSON API is available for integrating your platform with Bootswatch.
+More info can be found on the [Help page](https://bootswatch.com/help/#api).
+
+
+## Customization
+
+Bootswatch is open source and youâ€™re welcome to modify the themes.
+
+Each theme consists of two SASS files. `_variables.scss`, which is included by default in Bootstrap, allows you to customize the settings. `_bootswatch.scss` introduces more extensive structural changes.
+
+Check out the [Help page](https://bootswatch.com/help/#customization) for more details on building your own theme.
+
+
+## Contributing
+
+It's through your contributions that Bootswatch will continue to improve. You can contribute in several ways.
+
+**Issues:** Provide a detailed report of any bugs you encounter and open an issue on [GitHub](https://github.com/thomaspark/bootswatch/issues).
+
+**Documentation:** If you'd like to fix a typo or beef up the docs, you can fork the project, make your changes, and submit a pull request.
+
+**Code:** Make a fix and submit it as a pull request. When making changes, it's important to keep the CSS and SASS versions in sync. To do this, be sure to edit the SASS source files for the particular theme first, then run the  tasks `grunt swatch` to build the CSS.
+
+**Donation:** Donations are gratefully accepted via [GitHub](https://github.com/sponsors/thomaspark) and [PayPal](https://www.paypal.com/cgi-bin/webscr?cmd=_s-xclick&hosted_button_id=PU2DH4BMF9MWS&source=url).
+
+
+## Author
+
+Thomas Park
+
+* <https://github.com/thomaspark>
+* <https://thomaspark.co/>
+
+
+## Thanks
+
+[Mark Otto](https://github.com/mdo) and [Jacob Thornton](https://github.com/fat) for [Bootstrap](https://github.com/twbs/bootstrap).
+
+[Jenil Gogari](https://jgog.in/) for his contributions to the Flatly theme.
+
+[James Taylor](https://github.com/jostylr) for [cors-lite](https://github.com/jostylr/cors-lite).
+
+[Corey Sewell](https://github.com/cjsewell) for SASS conversion.
+
+
+## Copyright and License
+
+Copyright 2014-2020 Thomas Park
+
+Code released under the MIT License.
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/bslib/lib/bsw4/LICENSE
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/bslib/lib/bsw4/LICENSE	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/bslib/lib/bsw4/LICENSE	(revision 3761)
@@ -0,0 +1,21 @@
+The MIT License (MIT)
+
+Copyright (c) 2013 Thomas Park
+
+Permission is hereby granted, free of charge, to any person obtaining a copy
+of this software and associated documentation files (the "Software"), to deal
+in the Software without restriction, including without limitation the rights
+to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
+copies of the Software, and to permit persons to whom the Software is
+furnished to do so, subject to the following conditions:
+
+The above copyright notice and this permission notice shall be included in
+all copies or substantial portions of the Software.
+
+THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN
+THE SOFTWARE.
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/bslib/lib/bsw4/package.json
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/bslib/lib/bsw4/package.json	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/bslib/lib/bsw4/package.json	(revision 3761)
@@ -0,0 +1,23 @@
+{
+  "name": "bootswatch",
+  "description": "Bootswatch is a collection of themes for Bootstrap.",
+  "version": "4.6.0",
+  "author": "Thomas Park",
+  "homepage": "https://bootswatch.com",
+  "license": "MIT",
+  "repository": {
+    "type": "git",
+    "url": "git+https://github.com/thomaspark/bootswatch.git"
+  },
+  "bugs": {
+    "url": "https://github.com/thomaspark/bootswatch/issues"
+  },
+  "scripts": {
+    "build": "grunt swatch",
+    "htmllint": "grunt htmllint",
+    "stylelint": "stylelint \"**/*.scss\" --rd",
+    "test": "npm run stylelint"
+  },
+  "files": "dist/**/*.{css,scss}",
+  "dependencies": {}
+}
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/LU/FullPivLU.h
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/LU/FullPivLU.h	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/LU/FullPivLU.h	(revision 3761)
@@ -0,0 +1,891 @@
+// This file is part of Eigen, a lightweight C++ template library
+// for linear algebra.
+//
+// Copyright (C) 2006-2009 Benoit Jacob <jacob.benoit.1@gmail.com>
+//
+// This Source Code Form is subject to the terms of the Mozilla
+// Public License v. 2.0. If a copy of the MPL was not distributed
+// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
+
+#ifndef EIGEN_LU_H
+#define EIGEN_LU_H
+
+namespace Eigen {
+
+namespace internal {
+template<typename _MatrixType> struct traits<FullPivLU<_MatrixType> >
+ : traits<_MatrixType>
+{
+  typedef MatrixXpr XprKind;
+  typedef SolverStorage StorageKind;
+  enum { Flags = 0 };
+};
+
+} // end namespace internal
+
+/** \ingroup LU_Module
+  *
+  * \class FullPivLU
+  *
+  * \brief LU decomposition of a matrix with complete pivoting, and related features
+  *
+  * \tparam _MatrixType the type of the matrix of which we are computing the LU decomposition
+  *
+  * This class represents a LU decomposition of any matrix, with complete pivoting: the matrix A is
+  * decomposed as \f$ A = P^{-1} L U Q^{-1} \f$ where L is unit-lower-triangular, U is
+  * upper-triangular, and P and Q are permutation matrices. This is a rank-revealing LU
+  * decomposition. The eigenvalues (diagonal coefficients) of U are sorted in such a way that any
+  * zeros are at the end.
+  *
+  * This decomposition provides the generic approach to solving systems of linear equations, computing
+  * the rank, invertibility, inverse, kernel, and determinant.
+  *
+  * This LU decomposition is very stable and well tested with large matrices. However there are use cases where the SVD
+  * decomposition is inherently more stable and/or flexible. For example, when computing the kernel of a matrix,
+  * working with the SVD allows to select the smallest singular values of the matrix, something that
+  * the LU decomposition doesn't see.
+  *
+  * The data of the LU decomposition can be directly accessed through the methods matrixLU(),
+  * permutationP(), permutationQ().
+  *
+  * As an exemple, here is how the original matrix can be retrieved:
+  * \include class_FullPivLU.cpp
+  * Output: \verbinclude class_FullPivLU.out
+  *
+  * This class supports the \link InplaceDecomposition inplace decomposition \endlink mechanism.
+  * 
+  * \sa MatrixBase::fullPivLu(), MatrixBase::determinant(), MatrixBase::inverse()
+  */
+template<typename _MatrixType> class FullPivLU
+  : public SolverBase<FullPivLU<_MatrixType> >
+{
+  public:
+    typedef _MatrixType MatrixType;
+    typedef SolverBase<FullPivLU> Base;
+
+    EIGEN_GENERIC_PUBLIC_INTERFACE(FullPivLU)
+    // FIXME StorageIndex defined in EIGEN_GENERIC_PUBLIC_INTERFACE should be int
+    enum {
+      MaxRowsAtCompileTime = MatrixType::MaxRowsAtCompileTime,
+      MaxColsAtCompileTime = MatrixType::MaxColsAtCompileTime
+    };
+    typedef typename internal::plain_row_type<MatrixType, StorageIndex>::type IntRowVectorType;
+    typedef typename internal::plain_col_type<MatrixType, StorageIndex>::type IntColVectorType;
+    typedef PermutationMatrix<ColsAtCompileTime, MaxColsAtCompileTime> PermutationQType;
+    typedef PermutationMatrix<RowsAtCompileTime, MaxRowsAtCompileTime> PermutationPType;
+    typedef typename MatrixType::PlainObject PlainObject;
+
+    /**
+      * \brief Default Constructor.
+      *
+      * The default constructor is useful in cases in which the user intends to
+      * perform decompositions via LU::compute(const MatrixType&).
+      */
+    FullPivLU();
+
+    /** \brief Default Constructor with memory preallocation
+      *
+      * Like the default constructor but with preallocation of the internal data
+      * according to the specified problem \a size.
+      * \sa FullPivLU()
+      */
+    FullPivLU(Index rows, Index cols);
+
+    /** Constructor.
+      *
+      * \param matrix the matrix of which to compute the LU decomposition.
+      *               It is required to be nonzero.
+      */
+    template<typename InputType>
+    explicit FullPivLU(const EigenBase<InputType>& matrix);
+
+    /** \brief Constructs a LU factorization from a given matrix
+      *
+      * This overloaded constructor is provided for \link InplaceDecomposition inplace decomposition \endlink when \c MatrixType is a Eigen::Ref.
+      *
+      * \sa FullPivLU(const EigenBase&)
+      */
+    template<typename InputType>
+    explicit FullPivLU(EigenBase<InputType>& matrix);
+
+    /** Computes the LU decomposition of the given matrix.
+      *
+      * \param matrix the matrix of which to compute the LU decomposition.
+      *               It is required to be nonzero.
+      *
+      * \returns a reference to *this
+      */
+    template<typename InputType>
+    FullPivLU& compute(const EigenBase<InputType>& matrix) {
+      m_lu = matrix.derived();
+      computeInPlace();
+      return *this;
+    }
+
+    /** \returns the LU decomposition matrix: the upper-triangular part is U, the
+      * unit-lower-triangular part is L (at least for square matrices; in the non-square
+      * case, special care is needed, see the documentation of class FullPivLU).
+      *
+      * \sa matrixL(), matrixU()
+      */
+    inline const MatrixType& matrixLU() const
+    {
+      eigen_assert(m_isInitialized && "LU is not initialized.");
+      return m_lu;
+    }
+
+    /** \returns the number of nonzero pivots in the LU decomposition.
+      * Here nonzero is meant in the exact sense, not in a fuzzy sense.
+      * So that notion isn't really intrinsically interesting, but it is
+      * still useful when implementing algorithms.
+      *
+      * \sa rank()
+      */
+    inline Index nonzeroPivots() const
+    {
+      eigen_assert(m_isInitialized && "LU is not initialized.");
+      return m_nonzero_pivots;
+    }
+
+    /** \returns the absolute value of the biggest pivot, i.e. the biggest
+      *          diagonal coefficient of U.
+      */
+    RealScalar maxPivot() const { return m_maxpivot; }
+
+    /** \returns the permutation matrix P
+      *
+      * \sa permutationQ()
+      */
+    EIGEN_DEVICE_FUNC inline const PermutationPType& permutationP() const
+    {
+      eigen_assert(m_isInitialized && "LU is not initialized.");
+      return m_p;
+    }
+
+    /** \returns the permutation matrix Q
+      *
+      * \sa permutationP()
+      */
+    inline const PermutationQType& permutationQ() const
+    {
+      eigen_assert(m_isInitialized && "LU is not initialized.");
+      return m_q;
+    }
+
+    /** \returns the kernel of the matrix, also called its null-space. The columns of the returned matrix
+      * will form a basis of the kernel.
+      *
+      * \note If the kernel has dimension zero, then the returned matrix is a column-vector filled with zeros.
+      *
+      * \note This method has to determine which pivots should be considered nonzero.
+      *       For that, it uses the threshold value that you can control by calling
+      *       setThreshold(const RealScalar&).
+      *
+      * Example: \include FullPivLU_kernel.cpp
+      * Output: \verbinclude FullPivLU_kernel.out
+      *
+      * \sa image()
+      */
+    inline const internal::kernel_retval<FullPivLU> kernel() const
+    {
+      eigen_assert(m_isInitialized && "LU is not initialized.");
+      return internal::kernel_retval<FullPivLU>(*this);
+    }
+
+    /** \returns the image of the matrix, also called its column-space. The columns of the returned matrix
+      * will form a basis of the image (column-space).
+      *
+      * \param originalMatrix the original matrix, of which *this is the LU decomposition.
+      *                       The reason why it is needed to pass it here, is that this allows
+      *                       a large optimization, as otherwise this method would need to reconstruct it
+      *                       from the LU decomposition.
+      *
+      * \note If the image has dimension zero, then the returned matrix is a column-vector filled with zeros.
+      *
+      * \note This method has to determine which pivots should be considered nonzero.
+      *       For that, it uses the threshold value that you can control by calling
+      *       setThreshold(const RealScalar&).
+      *
+      * Example: \include FullPivLU_image.cpp
+      * Output: \verbinclude FullPivLU_image.out
+      *
+      * \sa kernel()
+      */
+    inline const internal::image_retval<FullPivLU>
+      image(const MatrixType& originalMatrix) const
+    {
+      eigen_assert(m_isInitialized && "LU is not initialized.");
+      return internal::image_retval<FullPivLU>(*this, originalMatrix);
+    }
+
+    /** \return a solution x to the equation Ax=b, where A is the matrix of which
+      * *this is the LU decomposition.
+      *
+      * \param b the right-hand-side of the equation to solve. Can be a vector or a matrix,
+      *          the only requirement in order for the equation to make sense is that
+      *          b.rows()==A.rows(), where A is the matrix of which *this is the LU decomposition.
+      *
+      * \returns a solution.
+      *
+      * \note_about_checking_solutions
+      *
+      * \note_about_arbitrary_choice_of_solution
+      * \note_about_using_kernel_to_study_multiple_solutions
+      *
+      * Example: \include FullPivLU_solve.cpp
+      * Output: \verbinclude FullPivLU_solve.out
+      *
+      * \sa TriangularView::solve(), kernel(), inverse()
+      */
+    // FIXME this is a copy-paste of the base-class member to add the isInitialized assertion.
+    template<typename Rhs>
+    inline const Solve<FullPivLU, Rhs>
+    solve(const MatrixBase<Rhs>& b) const
+    {
+      eigen_assert(m_isInitialized && "LU is not initialized.");
+      return Solve<FullPivLU, Rhs>(*this, b.derived());
+    }
+
+    /** \returns an estimate of the reciprocal condition number of the matrix of which \c *this is
+        the LU decomposition.
+      */
+    inline RealScalar rcond() const
+    {
+      eigen_assert(m_isInitialized && "PartialPivLU is not initialized.");
+      return internal::rcond_estimate_helper(m_l1_norm, *this);
+    }
+
+    /** \returns the determinant of the matrix of which
+      * *this is the LU decomposition. It has only linear complexity
+      * (that is, O(n) where n is the dimension of the square matrix)
+      * as the LU decomposition has already been computed.
+      *
+      * \note This is only for square matrices.
+      *
+      * \note For fixed-size matrices of size up to 4, MatrixBase::determinant() offers
+      *       optimized paths.
+      *
+      * \warning a determinant can be very big or small, so for matrices
+      * of large enough dimension, there is a risk of overflow/underflow.
+      *
+      * \sa MatrixBase::determinant()
+      */
+    typename internal::traits<MatrixType>::Scalar determinant() const;
+
+    /** Allows to prescribe a threshold to be used by certain methods, such as rank(),
+      * who need to determine when pivots are to be considered nonzero. This is not used for the
+      * LU decomposition itself.
+      *
+      * When it needs to get the threshold value, Eigen calls threshold(). By default, this
+      * uses a formula to automatically determine a reasonable threshold.
+      * Once you have called the present method setThreshold(const RealScalar&),
+      * your value is used instead.
+      *
+      * \param threshold The new value to use as the threshold.
+      *
+      * A pivot will be considered nonzero if its absolute value is strictly greater than
+      *  \f$ \vert pivot \vert \leqslant threshold \times \vert maxpivot \vert \f$
+      * where maxpivot is the biggest pivot.
+      *
+      * If you want to come back to the default behavior, call setThreshold(Default_t)
+      */
+    FullPivLU& setThreshold(const RealScalar& threshold)
+    {
+      m_usePrescribedThreshold = true;
+      m_prescribedThreshold = threshold;
+      return *this;
+    }
+
+    /** Allows to come back to the default behavior, letting Eigen use its default formula for
+      * determining the threshold.
+      *
+      * You should pass the special object Eigen::Default as parameter here.
+      * \code lu.setThreshold(Eigen::Default); \endcode
+      *
+      * See the documentation of setThreshold(const RealScalar&).
+      */
+    FullPivLU& setThreshold(Default_t)
+    {
+      m_usePrescribedThreshold = false;
+      return *this;
+    }
+
+    /** Returns the threshold that will be used by certain methods such as rank().
+      *
+      * See the documentation of setThreshold(const RealScalar&).
+      */
+    RealScalar threshold() const
+    {
+      eigen_assert(m_isInitialized || m_usePrescribedThreshold);
+      return m_usePrescribedThreshold ? m_prescribedThreshold
+      // this formula comes from experimenting (see "LU precision tuning" thread on the list)
+      // and turns out to be identical to Higham's formula used already in LDLt.
+                                      : NumTraits<Scalar>::epsilon() * m_lu.diagonalSize();
+    }
+
+    /** \returns the rank of the matrix of which *this is the LU decomposition.
+      *
+      * \note This method has to determine which pivots should be considered nonzero.
+      *       For that, it uses the threshold value that you can control by calling
+      *       setThreshold(const RealScalar&).
+      */
+    inline Index rank() const
+    {
+      using std::abs;
+      eigen_assert(m_isInitialized && "LU is not initialized.");
+      RealScalar premultiplied_threshold = abs(m_maxpivot) * threshold();
+      Index result = 0;
+      for(Index i = 0; i < m_nonzero_pivots; ++i)
+        result += (abs(m_lu.coeff(i,i)) > premultiplied_threshold);
+      return result;
+    }
+
+    /** \returns the dimension of the kernel of the matrix of which *this is the LU decomposition.
+      *
+      * \note This method has to determine which pivots should be considered nonzero.
+      *       For that, it uses the threshold value that you can control by calling
+      *       setThreshold(const RealScalar&).
+      */
+    inline Index dimensionOfKernel() const
+    {
+      eigen_assert(m_isInitialized && "LU is not initialized.");
+      return cols() - rank();
+    }
+
+    /** \returns true if the matrix of which *this is the LU decomposition represents an injective
+      *          linear map, i.e. has trivial kernel; false otherwise.
+      *
+      * \note This method has to determine which pivots should be considered nonzero.
+      *       For that, it uses the threshold value that you can control by calling
+      *       setThreshold(const RealScalar&).
+      */
+    inline bool isInjective() const
+    {
+      eigen_assert(m_isInitialized && "LU is not initialized.");
+      return rank() == cols();
+    }
+
+    /** \returns true if the matrix of which *this is the LU decomposition represents a surjective
+      *          linear map; false otherwise.
+      *
+      * \note This method has to determine which pivots should be considered nonzero.
+      *       For that, it uses the threshold value that you can control by calling
+      *       setThreshold(const RealScalar&).
+      */
+    inline bool isSurjective() const
+    {
+      eigen_assert(m_isInitialized && "LU is not initialized.");
+      return rank() == rows();
+    }
+
+    /** \returns true if the matrix of which *this is the LU decomposition is invertible.
+      *
+      * \note This method has to determine which pivots should be considered nonzero.
+      *       For that, it uses the threshold value that you can control by calling
+      *       setThreshold(const RealScalar&).
+      */
+    inline bool isInvertible() const
+    {
+      eigen_assert(m_isInitialized && "LU is not initialized.");
+      return isInjective() && (m_lu.rows() == m_lu.cols());
+    }
+
+    /** \returns the inverse of the matrix of which *this is the LU decomposition.
+      *
+      * \note If this matrix is not invertible, the returned matrix has undefined coefficients.
+      *       Use isInvertible() to first determine whether this matrix is invertible.
+      *
+      * \sa MatrixBase::inverse()
+      */
+    inline const Inverse<FullPivLU> inverse() const
+    {
+      eigen_assert(m_isInitialized && "LU is not initialized.");
+      eigen_assert(m_lu.rows() == m_lu.cols() && "You can't take the inverse of a non-square matrix!");
+      return Inverse<FullPivLU>(*this);
+    }
+
+    MatrixType reconstructedMatrix() const;
+
+    EIGEN_DEVICE_FUNC inline Index rows() const { return m_lu.rows(); }
+    EIGEN_DEVICE_FUNC inline Index cols() const { return m_lu.cols(); }
+
+    #ifndef EIGEN_PARSED_BY_DOXYGEN
+    template<typename RhsType, typename DstType>
+    EIGEN_DEVICE_FUNC
+    void _solve_impl(const RhsType &rhs, DstType &dst) const;
+
+    template<bool Conjugate, typename RhsType, typename DstType>
+    EIGEN_DEVICE_FUNC
+    void _solve_impl_transposed(const RhsType &rhs, DstType &dst) const;
+    #endif
+
+  protected:
+
+    static void check_template_parameters()
+    {
+      EIGEN_STATIC_ASSERT_NON_INTEGER(Scalar);
+    }
+
+    void computeInPlace();
+
+    MatrixType m_lu;
+    PermutationPType m_p;
+    PermutationQType m_q;
+    IntColVectorType m_rowsTranspositions;
+    IntRowVectorType m_colsTranspositions;
+    Index m_nonzero_pivots;
+    RealScalar m_l1_norm;
+    RealScalar m_maxpivot, m_prescribedThreshold;
+    signed char m_det_pq;
+    bool m_isInitialized, m_usePrescribedThreshold;
+};
+
+template<typename MatrixType>
+FullPivLU<MatrixType>::FullPivLU()
+  : m_isInitialized(false), m_usePrescribedThreshold(false)
+{
+}
+
+template<typename MatrixType>
+FullPivLU<MatrixType>::FullPivLU(Index rows, Index cols)
+  : m_lu(rows, cols),
+    m_p(rows),
+    m_q(cols),
+    m_rowsTranspositions(rows),
+    m_colsTranspositions(cols),
+    m_isInitialized(false),
+    m_usePrescribedThreshold(false)
+{
+}
+
+template<typename MatrixType>
+template<typename InputType>
+FullPivLU<MatrixType>::FullPivLU(const EigenBase<InputType>& matrix)
+  : m_lu(matrix.rows(), matrix.cols()),
+    m_p(matrix.rows()),
+    m_q(matrix.cols()),
+    m_rowsTranspositions(matrix.rows()),
+    m_colsTranspositions(matrix.cols()),
+    m_isInitialized(false),
+    m_usePrescribedThreshold(false)
+{
+  compute(matrix.derived());
+}
+
+template<typename MatrixType>
+template<typename InputType>
+FullPivLU<MatrixType>::FullPivLU(EigenBase<InputType>& matrix)
+  : m_lu(matrix.derived()),
+    m_p(matrix.rows()),
+    m_q(matrix.cols()),
+    m_rowsTranspositions(matrix.rows()),
+    m_colsTranspositions(matrix.cols()),
+    m_isInitialized(false),
+    m_usePrescribedThreshold(false)
+{
+  computeInPlace();
+}
+
+template<typename MatrixType>
+void FullPivLU<MatrixType>::computeInPlace()
+{
+  check_template_parameters();
+
+  // the permutations are stored as int indices, so just to be sure:
+  eigen_assert(m_lu.rows()<=NumTraits<int>::highest() && m_lu.cols()<=NumTraits<int>::highest());
+
+  m_l1_norm = m_lu.cwiseAbs().colwise().sum().maxCoeff();
+
+  const Index size = m_lu.diagonalSize();
+  const Index rows = m_lu.rows();
+  const Index cols = m_lu.cols();
+
+  // will store the transpositions, before we accumulate them at the end.
+  // can't accumulate on-the-fly because that will be done in reverse order for the rows.
+  m_rowsTranspositions.resize(m_lu.rows());
+  m_colsTranspositions.resize(m_lu.cols());
+  Index number_of_transpositions = 0; // number of NONTRIVIAL transpositions, i.e. m_rowsTranspositions[i]!=i
+
+  m_nonzero_pivots = size; // the generic case is that in which all pivots are nonzero (invertible case)
+  m_maxpivot = RealScalar(0);
+
+  for(Index k = 0; k < size; ++k)
+  {
+    // First, we need to find the pivot.
+
+    // biggest coefficient in the remaining bottom-right corner (starting at row k, col k)
+    Index row_of_biggest_in_corner, col_of_biggest_in_corner;
+    typedef internal::scalar_score_coeff_op<Scalar> Scoring;
+    typedef typename Scoring::result_type Score;
+    Score biggest_in_corner;
+    biggest_in_corner = m_lu.bottomRightCorner(rows-k, cols-k)
+                        .unaryExpr(Scoring())
+                        .maxCoeff(&row_of_biggest_in_corner, &col_of_biggest_in_corner);
+    row_of_biggest_in_corner += k; // correct the values! since they were computed in the corner,
+    col_of_biggest_in_corner += k; // need to add k to them.
+
+    if(biggest_in_corner==Score(0))
+    {
+      // before exiting, make sure to initialize the still uninitialized transpositions
+      // in a sane state without destroying what we already have.
+      m_nonzero_pivots = k;
+      for(Index i = k; i < size; ++i)
+      {
+        m_rowsTranspositions.coeffRef(i) = i;
+        m_colsTranspositions.coeffRef(i) = i;
+      }
+      break;
+    }
+
+    RealScalar abs_pivot = internal::abs_knowing_score<Scalar>()(m_lu(row_of_biggest_in_corner, col_of_biggest_in_corner), biggest_in_corner);
+    if(abs_pivot > m_maxpivot) m_maxpivot = abs_pivot;
+
+    // Now that we've found the pivot, we need to apply the row/col swaps to
+    // bring it to the location (k,k).
+
+    m_rowsTranspositions.coeffRef(k) = row_of_biggest_in_corner;
+    m_colsTranspositions.coeffRef(k) = col_of_biggest_in_corner;
+    if(k != row_of_biggest_in_corner) {
+      m_lu.row(k).swap(m_lu.row(row_of_biggest_in_corner));
+      ++number_of_transpositions;
+    }
+    if(k != col_of_biggest_in_corner) {
+      m_lu.col(k).swap(m_lu.col(col_of_biggest_in_corner));
+      ++number_of_transpositions;
+    }
+
+    // Now that the pivot is at the right location, we update the remaining
+    // bottom-right corner by Gaussian elimination.
+
+    if(k<rows-1)
+      m_lu.col(k).tail(rows-k-1) /= m_lu.coeff(k,k);
+    if(k<size-1)
+      m_lu.block(k+1,k+1,rows-k-1,cols-k-1).noalias() -= m_lu.col(k).tail(rows-k-1) * m_lu.row(k).tail(cols-k-1);
+  }
+
+  // the main loop is over, we still have to accumulate the transpositions to find the
+  // permutations P and Q
+
+  m_p.setIdentity(rows);
+  for(Index k = size-1; k >= 0; --k)
+    m_p.applyTranspositionOnTheRight(k, m_rowsTranspositions.coeff(k));
+
+  m_q.setIdentity(cols);
+  for(Index k = 0; k < size; ++k)
+    m_q.applyTranspositionOnTheRight(k, m_colsTranspositions.coeff(k));
+
+  m_det_pq = (number_of_transpositions%2) ? -1 : 1;
+
+  m_isInitialized = true;
+}
+
+template<typename MatrixType>
+typename internal::traits<MatrixType>::Scalar FullPivLU<MatrixType>::determinant() const
+{
+  eigen_assert(m_isInitialized && "LU is not initialized.");
+  eigen_assert(m_lu.rows() == m_lu.cols() && "You can't take the determinant of a non-square matrix!");
+  return Scalar(m_det_pq) * Scalar(m_lu.diagonal().prod());
+}
+
+/** \returns the matrix represented by the decomposition,
+ * i.e., it returns the product: \f$ P^{-1} L U Q^{-1} \f$.
+ * This function is provided for debug purposes. */
+template<typename MatrixType>
+MatrixType FullPivLU<MatrixType>::reconstructedMatrix() const
+{
+  eigen_assert(m_isInitialized && "LU is not initialized.");
+  const Index smalldim = (std::min)(m_lu.rows(), m_lu.cols());
+  // LU
+  MatrixType res(m_lu.rows(),m_lu.cols());
+  // FIXME the .toDenseMatrix() should not be needed...
+  res = m_lu.leftCols(smalldim)
+            .template triangularView<UnitLower>().toDenseMatrix()
+      * m_lu.topRows(smalldim)
+            .template triangularView<Upper>().toDenseMatrix();
+
+  // P^{-1}(LU)
+  res = m_p.inverse() * res;
+
+  // (P^{-1}LU)Q^{-1}
+  res = res * m_q.inverse();
+
+  return res;
+}
+
+/********* Implementation of kernel() **************************************************/
+
+namespace internal {
+template<typename _MatrixType>
+struct kernel_retval<FullPivLU<_MatrixType> >
+  : kernel_retval_base<FullPivLU<_MatrixType> >
+{
+  EIGEN_MAKE_KERNEL_HELPERS(FullPivLU<_MatrixType>)
+
+  enum { MaxSmallDimAtCompileTime = EIGEN_SIZE_MIN_PREFER_FIXED(
+            MatrixType::MaxColsAtCompileTime,
+            MatrixType::MaxRowsAtCompileTime)
+  };
+
+  template<typename Dest> void evalTo(Dest& dst) const
+  {
+    using std::abs;
+    const Index cols = dec().matrixLU().cols(), dimker = cols - rank();
+    if(dimker == 0)
+    {
+      // The Kernel is just {0}, so it doesn't have a basis properly speaking, but let's
+      // avoid crashing/asserting as that depends on floating point calculations. Let's
+      // just return a single column vector filled with zeros.
+      dst.setZero();
+      return;
+    }
+
+    /* Let us use the following lemma:
+      *
+      * Lemma: If the matrix A has the LU decomposition PAQ = LU,
+      * then Ker A = Q(Ker U).
+      *
+      * Proof: trivial: just keep in mind that P, Q, L are invertible.
+      */
+
+    /* Thus, all we need to do is to compute Ker U, and then apply Q.
+      *
+      * U is upper triangular, with eigenvalues sorted so that any zeros appear at the end.
+      * Thus, the diagonal of U ends with exactly
+      * dimKer zero's. Let us use that to construct dimKer linearly
+      * independent vectors in Ker U.
+      */
+
+    Matrix<Index, Dynamic, 1, 0, MaxSmallDimAtCompileTime, 1> pivots(rank());
+    RealScalar premultiplied_threshold = dec().maxPivot() * dec().threshold();
+    Index p = 0;
+    for(Index i = 0; i < dec().nonzeroPivots(); ++i)
+      if(abs(dec().matrixLU().coeff(i,i)) > premultiplied_threshold)
+        pivots.coeffRef(p++) = i;
+    eigen_internal_assert(p == rank());
+
+    // we construct a temporaty trapezoid matrix m, by taking the U matrix and
+    // permuting the rows and cols to bring the nonnegligible pivots to the top of
+    // the main diagonal. We need that to be able to apply our triangular solvers.
+    // FIXME when we get triangularView-for-rectangular-matrices, this can be simplified
+    Matrix<typename MatrixType::Scalar, Dynamic, Dynamic, MatrixType::Options,
+           MaxSmallDimAtCompileTime, MatrixType::MaxColsAtCompileTime>
+      m(dec().matrixLU().block(0, 0, rank(), cols));
+    for(Index i = 0; i < rank(); ++i)
+    {
+      if(i) m.row(i).head(i).setZero();
+      m.row(i).tail(cols-i) = dec().matrixLU().row(pivots.coeff(i)).tail(cols-i);
+    }
+    m.block(0, 0, rank(), rank());
+    m.block(0, 0, rank(), rank()).template triangularView<StrictlyLower>().setZero();
+    for(Index i = 0; i < rank(); ++i)
+      m.col(i).swap(m.col(pivots.coeff(i)));
+
+    // ok, we have our trapezoid matrix, we can apply the triangular solver.
+    // notice that the math behind this suggests that we should apply this to the
+    // negative of the RHS, but for performance we just put the negative sign elsewhere, see below.
+    m.topLeftCorner(rank(), rank())
+     .template triangularView<Upper>().solveInPlace(
+        m.topRightCorner(rank(), dimker)
+      );
+
+    // now we must undo the column permutation that we had applied!
+    for(Index i = rank()-1; i >= 0; --i)
+      m.col(i).swap(m.col(pivots.coeff(i)));
+
+    // see the negative sign in the next line, that's what we were talking about above.
+    for(Index i = 0; i < rank(); ++i) dst.row(dec().permutationQ().indices().coeff(i)) = -m.row(i).tail(dimker);
+    for(Index i = rank(); i < cols; ++i) dst.row(dec().permutationQ().indices().coeff(i)).setZero();
+    for(Index k = 0; k < dimker; ++k) dst.coeffRef(dec().permutationQ().indices().coeff(rank()+k), k) = Scalar(1);
+  }
+};
+
+/***** Implementation of image() *****************************************************/
+
+template<typename _MatrixType>
+struct image_retval<FullPivLU<_MatrixType> >
+  : image_retval_base<FullPivLU<_MatrixType> >
+{
+  EIGEN_MAKE_IMAGE_HELPERS(FullPivLU<_MatrixType>)
+
+  enum { MaxSmallDimAtCompileTime = EIGEN_SIZE_MIN_PREFER_FIXED(
+            MatrixType::MaxColsAtCompileTime,
+            MatrixType::MaxRowsAtCompileTime)
+  };
+
+  template<typename Dest> void evalTo(Dest& dst) const
+  {
+    using std::abs;
+    if(rank() == 0)
+    {
+      // The Image is just {0}, so it doesn't have a basis properly speaking, but let's
+      // avoid crashing/asserting as that depends on floating point calculations. Let's
+      // just return a single column vector filled with zeros.
+      dst.setZero();
+      return;
+    }
+
+    Matrix<Index, Dynamic, 1, 0, MaxSmallDimAtCompileTime, 1> pivots(rank());
+    RealScalar premultiplied_threshold = dec().maxPivot() * dec().threshold();
+    Index p = 0;
+    for(Index i = 0; i < dec().nonzeroPivots(); ++i)
+      if(abs(dec().matrixLU().coeff(i,i)) > premultiplied_threshold)
+        pivots.coeffRef(p++) = i;
+    eigen_internal_assert(p == rank());
+
+    for(Index i = 0; i < rank(); ++i)
+      dst.col(i) = originalMatrix().col(dec().permutationQ().indices().coeff(pivots.coeff(i)));
+  }
+};
+
+/***** Implementation of solve() *****************************************************/
+
+} // end namespace internal
+
+#ifndef EIGEN_PARSED_BY_DOXYGEN
+template<typename _MatrixType>
+template<typename RhsType, typename DstType>
+void FullPivLU<_MatrixType>::_solve_impl(const RhsType &rhs, DstType &dst) const
+{
+  /* The decomposition PAQ = LU can be rewritten as A = P^{-1} L U Q^{-1}.
+  * So we proceed as follows:
+  * Step 1: compute c = P * rhs.
+  * Step 2: replace c by the solution x to Lx = c. Exists because L is invertible.
+  * Step 3: replace c by the solution x to Ux = c. May or may not exist.
+  * Step 4: result = Q * c;
+  */
+
+  const Index rows = this->rows(),
+              cols = this->cols(),
+              nonzero_pivots = this->rank();
+  eigen_assert(rhs.rows() == rows);
+  const Index smalldim = (std::min)(rows, cols);
+
+  if(nonzero_pivots == 0)
+  {
+    dst.setZero();
+    return;
+  }
+
+  typename RhsType::PlainObject c(rhs.rows(), rhs.cols());
+
+  // Step 1
+  c = permutationP() * rhs;
+
+  // Step 2
+  m_lu.topLeftCorner(smalldim,smalldim)
+      .template triangularView<UnitLower>()
+      .solveInPlace(c.topRows(smalldim));
+  if(rows>cols)
+    c.bottomRows(rows-cols) -= m_lu.bottomRows(rows-cols) * c.topRows(cols);
+
+  // Step 3
+  m_lu.topLeftCorner(nonzero_pivots, nonzero_pivots)
+      .template triangularView<Upper>()
+      .solveInPlace(c.topRows(nonzero_pivots));
+
+  // Step 4
+  for(Index i = 0; i < nonzero_pivots; ++i)
+    dst.row(permutationQ().indices().coeff(i)) = c.row(i);
+  for(Index i = nonzero_pivots; i < m_lu.cols(); ++i)
+    dst.row(permutationQ().indices().coeff(i)).setZero();
+}
+
+template<typename _MatrixType>
+template<bool Conjugate, typename RhsType, typename DstType>
+void FullPivLU<_MatrixType>::_solve_impl_transposed(const RhsType &rhs, DstType &dst) const
+{
+  /* The decomposition PAQ = LU can be rewritten as A = P^{-1} L U Q^{-1},
+   * and since permutations are real and unitary, we can write this
+   * as   A^T = Q U^T L^T P,
+   * So we proceed as follows:
+   * Step 1: compute c = Q^T rhs.
+   * Step 2: replace c by the solution x to U^T x = c. May or may not exist.
+   * Step 3: replace c by the solution x to L^T x = c.
+   * Step 4: result = P^T c.
+   * If Conjugate is true, replace "^T" by "^*" above.
+   */
+
+  const Index rows = this->rows(), cols = this->cols(),
+    nonzero_pivots = this->rank();
+   eigen_assert(rhs.rows() == cols);
+  const Index smalldim = (std::min)(rows, cols);
+
+  if(nonzero_pivots == 0)
+  {
+    dst.setZero();
+    return;
+  }
+
+  typename RhsType::PlainObject c(rhs.rows(), rhs.cols());
+
+  // Step 1
+  c = permutationQ().inverse() * rhs;
+
+  if (Conjugate) {
+    // Step 2
+    m_lu.topLeftCorner(nonzero_pivots, nonzero_pivots)
+        .template triangularView<Upper>()
+        .adjoint()
+        .solveInPlace(c.topRows(nonzero_pivots));
+    // Step 3
+    m_lu.topLeftCorner(smalldim, smalldim)
+        .template triangularView<UnitLower>()
+        .adjoint()
+        .solveInPlace(c.topRows(smalldim));
+  } else {
+    // Step 2
+    m_lu.topLeftCorner(nonzero_pivots, nonzero_pivots)
+        .template triangularView<Upper>()
+        .transpose()
+        .solveInPlace(c.topRows(nonzero_pivots));
+    // Step 3
+    m_lu.topLeftCorner(smalldim, smalldim)
+        .template triangularView<UnitLower>()
+        .transpose()
+        .solveInPlace(c.topRows(smalldim));
+  }
+
+  // Step 4
+  PermutationPType invp = permutationP().inverse().eval();
+  for(Index i = 0; i < smalldim; ++i)
+    dst.row(invp.indices().coeff(i)) = c.row(i);
+  for(Index i = smalldim; i < rows; ++i)
+    dst.row(invp.indices().coeff(i)).setZero();
+}
+
+#endif
+
+namespace internal {
+
+
+/***** Implementation of inverse() *****************************************************/
+template<typename DstXprType, typename MatrixType>
+struct Assignment<DstXprType, Inverse<FullPivLU<MatrixType> >, internal::assign_op<typename DstXprType::Scalar,typename FullPivLU<MatrixType>::Scalar>, Dense2Dense>
+{
+  typedef FullPivLU<MatrixType> LuType;
+  typedef Inverse<LuType> SrcXprType;
+  static void run(DstXprType &dst, const SrcXprType &src, const internal::assign_op<typename DstXprType::Scalar,typename MatrixType::Scalar> &)
+  {
+    dst = src.nestedExpression().solve(MatrixType::Identity(src.rows(), src.cols()));
+  }
+};
+} // end namespace internal
+
+/******* MatrixBase methods *****************************************************************/
+
+/** \lu_module
+  *
+  * \return the full-pivoting LU decomposition of \c *this.
+  *
+  * \sa class FullPivLU
+  */
+template<typename Derived>
+inline const FullPivLU<typename MatrixBase<Derived>::PlainObject>
+MatrixBase<Derived>::fullPivLu() const
+{
+  return FullPivLU<PlainObject>(eval());
+}
+
+} // end namespace Eigen
+
+#endif // EIGEN_LU_H
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/LU/arch/Inverse_SSE.h
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/LU/arch/Inverse_SSE.h	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/LU/arch/Inverse_SSE.h	(revision 3761)
@@ -0,0 +1,338 @@
+// This file is part of Eigen, a lightweight C++ template library
+// for linear algebra.
+//
+// Copyright (C) 2001 Intel Corporation
+// Copyright (C) 2010 Gael Guennebaud <gael.guennebaud@inria.fr>
+// Copyright (C) 2009 Benoit Jacob <jacob.benoit.1@gmail.com>
+//
+// This Source Code Form is subject to the terms of the Mozilla
+// Public License v. 2.0. If a copy of the MPL was not distributed
+// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
+
+// The SSE code for the 4x4 float and double matrix inverse in this file
+// comes from the following Intel's library:
+// http://software.intel.com/en-us/articles/optimized-matrix-library-for-use-with-the-intel-pentiumr-4-processors-sse2-instructions/
+//
+// Here is the respective copyright and license statement:
+//
+//   Copyright (c) 2001 Intel Corporation.
+//
+// Permition is granted to use, copy, distribute and prepare derivative works
+// of this library for any purpose and without fee, provided, that the above
+// copyright notice and this statement appear in all copies.
+// Intel makes no representations about the suitability of this software for
+// any purpose, and specifically disclaims all warranties.
+// See LEGAL.TXT for all the legal information.
+
+#ifndef EIGEN_INVERSE_SSE_H
+#define EIGEN_INVERSE_SSE_H
+
+namespace Eigen { 
+
+namespace internal {
+
+template<typename MatrixType, typename ResultType>
+struct compute_inverse_size4<Architecture::SSE, float, MatrixType, ResultType>
+{
+  enum {
+    MatrixAlignment     = traits<MatrixType>::Alignment,
+    ResultAlignment     = traits<ResultType>::Alignment,
+    StorageOrdersMatch  = (MatrixType::Flags&RowMajorBit) == (ResultType::Flags&RowMajorBit)
+  };
+  typedef typename conditional<(MatrixType::Flags&LinearAccessBit),MatrixType const &,typename MatrixType::PlainObject>::type ActualMatrixType;
+  
+  static void run(const MatrixType& mat, ResultType& result)
+  {
+    ActualMatrixType matrix(mat);
+    const Packet4f p4f_sign_PNNP = _mm_castsi128_ps(_mm_set_epi32(0x00000000, 0x80000000, 0x80000000, 0x00000000));
+
+    // Load the full matrix into registers
+    __m128 _L1 = matrix.template packet<MatrixAlignment>( 0);
+    __m128 _L2 = matrix.template packet<MatrixAlignment>( 4);
+    __m128 _L3 = matrix.template packet<MatrixAlignment>( 8);
+    __m128 _L4 = matrix.template packet<MatrixAlignment>(12);
+
+    // The inverse is calculated using "Divide and Conquer" technique. The
+    // original matrix is divide into four 2x2 sub-matrices. Since each
+    // register holds four matrix element, the smaller matrices are
+    // represented as a registers. Hence we get a better locality of the
+    // calculations.
+
+    __m128 A, B, C, D; // the four sub-matrices
+    if(!StorageOrdersMatch)
+    {
+      A = _mm_unpacklo_ps(_L1, _L2);
+      B = _mm_unpacklo_ps(_L3, _L4);
+      C = _mm_unpackhi_ps(_L1, _L2);
+      D = _mm_unpackhi_ps(_L3, _L4);
+    }
+    else
+    {
+      A = _mm_movelh_ps(_L1, _L2);
+      B = _mm_movehl_ps(_L2, _L1);
+      C = _mm_movelh_ps(_L3, _L4);
+      D = _mm_movehl_ps(_L4, _L3);
+    }
+
+    __m128 iA, iB, iC, iD,                 // partial inverse of the sub-matrices
+            DC, AB;
+    __m128 dA, dB, dC, dD;                 // determinant of the sub-matrices
+    __m128 det, d, d1, d2;
+    __m128 rd;                             // reciprocal of the determinant
+
+    //  AB = A# * B
+    AB = _mm_mul_ps(_mm_shuffle_ps(A,A,0x0F), B);
+    AB = _mm_sub_ps(AB,_mm_mul_ps(_mm_shuffle_ps(A,A,0xA5), _mm_shuffle_ps(B,B,0x4E)));
+    //  DC = D# * C
+    DC = _mm_mul_ps(_mm_shuffle_ps(D,D,0x0F), C);
+    DC = _mm_sub_ps(DC,_mm_mul_ps(_mm_shuffle_ps(D,D,0xA5), _mm_shuffle_ps(C,C,0x4E)));
+
+    //  dA = |A|
+    dA = _mm_mul_ps(_mm_shuffle_ps(A, A, 0x5F),A);
+    dA = _mm_sub_ss(dA, _mm_movehl_ps(dA,dA));
+    //  dB = |B|
+    dB = _mm_mul_ps(_mm_shuffle_ps(B, B, 0x5F),B);
+    dB = _mm_sub_ss(dB, _mm_movehl_ps(dB,dB));
+
+    //  dC = |C|
+    dC = _mm_mul_ps(_mm_shuffle_ps(C, C, 0x5F),C);
+    dC = _mm_sub_ss(dC, _mm_movehl_ps(dC,dC));
+    //  dD = |D|
+    dD = _mm_mul_ps(_mm_shuffle_ps(D, D, 0x5F),D);
+    dD = _mm_sub_ss(dD, _mm_movehl_ps(dD,dD));
+
+    //  d = trace(AB*DC) = trace(A#*B*D#*C)
+    d = _mm_mul_ps(_mm_shuffle_ps(DC,DC,0xD8),AB);
+
+    //  iD = C*A#*B
+    iD = _mm_mul_ps(_mm_shuffle_ps(C,C,0xA0), _mm_movelh_ps(AB,AB));
+    iD = _mm_add_ps(iD,_mm_mul_ps(_mm_shuffle_ps(C,C,0xF5), _mm_movehl_ps(AB,AB)));
+    //  iA = B*D#*C
+    iA = _mm_mul_ps(_mm_shuffle_ps(B,B,0xA0), _mm_movelh_ps(DC,DC));
+    iA = _mm_add_ps(iA,_mm_mul_ps(_mm_shuffle_ps(B,B,0xF5), _mm_movehl_ps(DC,DC)));
+
+    //  d = trace(AB*DC) = trace(A#*B*D#*C) [continue]
+    d  = _mm_add_ps(d, _mm_movehl_ps(d, d));
+    d  = _mm_add_ss(d, _mm_shuffle_ps(d, d, 1));
+    d1 = _mm_mul_ss(dA,dD);
+    d2 = _mm_mul_ss(dB,dC);
+
+    //  iD = D*|A| - C*A#*B
+    iD = _mm_sub_ps(_mm_mul_ps(D,_mm_shuffle_ps(dA,dA,0)), iD);
+
+    //  iA = A*|D| - B*D#*C;
+    iA = _mm_sub_ps(_mm_mul_ps(A,_mm_shuffle_ps(dD,dD,0)), iA);
+
+    //  det = |A|*|D| + |B|*|C| - trace(A#*B*D#*C)
+    det = _mm_sub_ss(_mm_add_ss(d1,d2),d);
+    rd  = _mm_div_ss(_mm_set_ss(1.0f), det);
+
+//     #ifdef ZERO_SINGULAR
+//         rd = _mm_and_ps(_mm_cmpneq_ss(det,_mm_setzero_ps()), rd);
+//     #endif
+
+    //  iB = D * (A#B)# = D*B#*A
+    iB = _mm_mul_ps(D, _mm_shuffle_ps(AB,AB,0x33));
+    iB = _mm_sub_ps(iB, _mm_mul_ps(_mm_shuffle_ps(D,D,0xB1), _mm_shuffle_ps(AB,AB,0x66)));
+    //  iC = A * (D#C)# = A*C#*D
+    iC = _mm_mul_ps(A, _mm_shuffle_ps(DC,DC,0x33));
+    iC = _mm_sub_ps(iC, _mm_mul_ps(_mm_shuffle_ps(A,A,0xB1), _mm_shuffle_ps(DC,DC,0x66)));
+
+    rd = _mm_shuffle_ps(rd,rd,0);
+    rd = _mm_xor_ps(rd, p4f_sign_PNNP);
+
+    //  iB = C*|B| - D*B#*A
+    iB = _mm_sub_ps(_mm_mul_ps(C,_mm_shuffle_ps(dB,dB,0)), iB);
+
+    //  iC = B*|C| - A*C#*D;
+    iC = _mm_sub_ps(_mm_mul_ps(B,_mm_shuffle_ps(dC,dC,0)), iC);
+
+    //  iX = iX / det
+    iA = _mm_mul_ps(rd,iA);
+    iB = _mm_mul_ps(rd,iB);
+    iC = _mm_mul_ps(rd,iC);
+    iD = _mm_mul_ps(rd,iD);
+
+    Index res_stride = result.outerStride();
+    float* res = result.data();
+    pstoret<float, Packet4f, ResultAlignment>(res+0,            _mm_shuffle_ps(iA,iB,0x77));
+    pstoret<float, Packet4f, ResultAlignment>(res+res_stride,   _mm_shuffle_ps(iA,iB,0x22));
+    pstoret<float, Packet4f, ResultAlignment>(res+2*res_stride, _mm_shuffle_ps(iC,iD,0x77));
+    pstoret<float, Packet4f, ResultAlignment>(res+3*res_stride, _mm_shuffle_ps(iC,iD,0x22));
+  }
+
+};
+
+template<typename MatrixType, typename ResultType>
+struct compute_inverse_size4<Architecture::SSE, double, MatrixType, ResultType>
+{
+  enum {
+    MatrixAlignment     = traits<MatrixType>::Alignment,
+    ResultAlignment     = traits<ResultType>::Alignment,
+    StorageOrdersMatch  = (MatrixType::Flags&RowMajorBit) == (ResultType::Flags&RowMajorBit)
+  };
+  typedef typename conditional<(MatrixType::Flags&LinearAccessBit),MatrixType const &,typename MatrixType::PlainObject>::type ActualMatrixType;
+  
+  static void run(const MatrixType& mat, ResultType& result)
+  {
+    ActualMatrixType matrix(mat);
+    const __m128d _Sign_NP = _mm_castsi128_pd(_mm_set_epi32(0x0,0x0,0x80000000,0x0));
+    const __m128d _Sign_PN = _mm_castsi128_pd(_mm_set_epi32(0x80000000,0x0,0x0,0x0));
+
+    // The inverse is calculated using "Divide and Conquer" technique. The
+    // original matrix is divide into four 2x2 sub-matrices. Since each
+    // register of the matrix holds two elements, the smaller matrices are
+    // consisted of two registers. Hence we get a better locality of the
+    // calculations.
+
+    // the four sub-matrices
+    __m128d A1, A2, B1, B2, C1, C2, D1, D2;
+    
+    if(StorageOrdersMatch)
+    {
+      A1 = matrix.template packet<MatrixAlignment>( 0); B1 = matrix.template packet<MatrixAlignment>( 2);
+      A2 = matrix.template packet<MatrixAlignment>( 4); B2 = matrix.template packet<MatrixAlignment>( 6);
+      C1 = matrix.template packet<MatrixAlignment>( 8); D1 = matrix.template packet<MatrixAlignment>(10);
+      C2 = matrix.template packet<MatrixAlignment>(12); D2 = matrix.template packet<MatrixAlignment>(14);
+    }
+    else
+    {
+      __m128d tmp;
+      A1 = matrix.template packet<MatrixAlignment>( 0); C1 = matrix.template packet<MatrixAlignment>( 2);
+      A2 = matrix.template packet<MatrixAlignment>( 4); C2 = matrix.template packet<MatrixAlignment>( 6);
+      tmp = A1;
+      A1 = _mm_unpacklo_pd(A1,A2);
+      A2 = _mm_unpackhi_pd(tmp,A2);
+      tmp = C1;
+      C1 = _mm_unpacklo_pd(C1,C2);
+      C2 = _mm_unpackhi_pd(tmp,C2);
+      
+      B1 = matrix.template packet<MatrixAlignment>( 8); D1 = matrix.template packet<MatrixAlignment>(10);
+      B2 = matrix.template packet<MatrixAlignment>(12); D2 = matrix.template packet<MatrixAlignment>(14);
+      tmp = B1;
+      B1 = _mm_unpacklo_pd(B1,B2);
+      B2 = _mm_unpackhi_pd(tmp,B2);
+      tmp = D1;
+      D1 = _mm_unpacklo_pd(D1,D2);
+      D2 = _mm_unpackhi_pd(tmp,D2);
+    }
+    
+    __m128d iA1, iA2, iB1, iB2, iC1, iC2, iD1, iD2,     // partial invese of the sub-matrices
+            DC1, DC2, AB1, AB2;
+    __m128d dA, dB, dC, dD;     // determinant of the sub-matrices
+    __m128d det, d1, d2, rd;
+
+    //  dA = |A|
+    dA = _mm_shuffle_pd(A2, A2, 1);
+    dA = _mm_mul_pd(A1, dA);
+    dA = _mm_sub_sd(dA, _mm_shuffle_pd(dA,dA,3));
+    //  dB = |B|
+    dB = _mm_shuffle_pd(B2, B2, 1);
+    dB = _mm_mul_pd(B1, dB);
+    dB = _mm_sub_sd(dB, _mm_shuffle_pd(dB,dB,3));
+
+    //  AB = A# * B
+    AB1 = _mm_mul_pd(B1, _mm_shuffle_pd(A2,A2,3));
+    AB2 = _mm_mul_pd(B2, _mm_shuffle_pd(A1,A1,0));
+    AB1 = _mm_sub_pd(AB1, _mm_mul_pd(B2, _mm_shuffle_pd(A1,A1,3)));
+    AB2 = _mm_sub_pd(AB2, _mm_mul_pd(B1, _mm_shuffle_pd(A2,A2,0)));
+
+    //  dC = |C|
+    dC = _mm_shuffle_pd(C2, C2, 1);
+    dC = _mm_mul_pd(C1, dC);
+    dC = _mm_sub_sd(dC, _mm_shuffle_pd(dC,dC,3));
+    //  dD = |D|
+    dD = _mm_shuffle_pd(D2, D2, 1);
+    dD = _mm_mul_pd(D1, dD);
+    dD = _mm_sub_sd(dD, _mm_shuffle_pd(dD,dD,3));
+
+    //  DC = D# * C
+    DC1 = _mm_mul_pd(C1, _mm_shuffle_pd(D2,D2,3));
+    DC2 = _mm_mul_pd(C2, _mm_shuffle_pd(D1,D1,0));
+    DC1 = _mm_sub_pd(DC1, _mm_mul_pd(C2, _mm_shuffle_pd(D1,D1,3)));
+    DC2 = _mm_sub_pd(DC2, _mm_mul_pd(C1, _mm_shuffle_pd(D2,D2,0)));
+
+    //  rd = trace(AB*DC) = trace(A#*B*D#*C)
+    d1 = _mm_mul_pd(AB1, _mm_shuffle_pd(DC1, DC2, 0));
+    d2 = _mm_mul_pd(AB2, _mm_shuffle_pd(DC1, DC2, 3));
+    rd = _mm_add_pd(d1, d2);
+    rd = _mm_add_sd(rd, _mm_shuffle_pd(rd, rd,3));
+
+    //  iD = C*A#*B
+    iD1 = _mm_mul_pd(AB1, _mm_shuffle_pd(C1,C1,0));
+    iD2 = _mm_mul_pd(AB1, _mm_shuffle_pd(C2,C2,0));
+    iD1 = _mm_add_pd(iD1, _mm_mul_pd(AB2, _mm_shuffle_pd(C1,C1,3)));
+    iD2 = _mm_add_pd(iD2, _mm_mul_pd(AB2, _mm_shuffle_pd(C2,C2,3)));
+
+    //  iA = B*D#*C
+    iA1 = _mm_mul_pd(DC1, _mm_shuffle_pd(B1,B1,0));
+    iA2 = _mm_mul_pd(DC1, _mm_shuffle_pd(B2,B2,0));
+    iA1 = _mm_add_pd(iA1, _mm_mul_pd(DC2, _mm_shuffle_pd(B1,B1,3)));
+    iA2 = _mm_add_pd(iA2, _mm_mul_pd(DC2, _mm_shuffle_pd(B2,B2,3)));
+
+    //  iD = D*|A| - C*A#*B
+    dA = _mm_shuffle_pd(dA,dA,0);
+    iD1 = _mm_sub_pd(_mm_mul_pd(D1, dA), iD1);
+    iD2 = _mm_sub_pd(_mm_mul_pd(D2, dA), iD2);
+
+    //  iA = A*|D| - B*D#*C;
+    dD = _mm_shuffle_pd(dD,dD,0);
+    iA1 = _mm_sub_pd(_mm_mul_pd(A1, dD), iA1);
+    iA2 = _mm_sub_pd(_mm_mul_pd(A2, dD), iA2);
+
+    d1 = _mm_mul_sd(dA, dD);
+    d2 = _mm_mul_sd(dB, dC);
+
+    //  iB = D * (A#B)# = D*B#*A
+    iB1 = _mm_mul_pd(D1, _mm_shuffle_pd(AB2,AB1,1));
+    iB2 = _mm_mul_pd(D2, _mm_shuffle_pd(AB2,AB1,1));
+    iB1 = _mm_sub_pd(iB1, _mm_mul_pd(_mm_shuffle_pd(D1,D1,1), _mm_shuffle_pd(AB2,AB1,2)));
+    iB2 = _mm_sub_pd(iB2, _mm_mul_pd(_mm_shuffle_pd(D2,D2,1), _mm_shuffle_pd(AB2,AB1,2)));
+
+    //  det = |A|*|D| + |B|*|C| - trace(A#*B*D#*C)
+    det = _mm_add_sd(d1, d2);
+    det = _mm_sub_sd(det, rd);
+
+    //  iC = A * (D#C)# = A*C#*D
+    iC1 = _mm_mul_pd(A1, _mm_shuffle_pd(DC2,DC1,1));
+    iC2 = _mm_mul_pd(A2, _mm_shuffle_pd(DC2,DC1,1));
+    iC1 = _mm_sub_pd(iC1, _mm_mul_pd(_mm_shuffle_pd(A1,A1,1), _mm_shuffle_pd(DC2,DC1,2)));
+    iC2 = _mm_sub_pd(iC2, _mm_mul_pd(_mm_shuffle_pd(A2,A2,1), _mm_shuffle_pd(DC2,DC1,2)));
+
+    rd = _mm_div_sd(_mm_set_sd(1.0), det);
+//     #ifdef ZERO_SINGULAR
+//         rd = _mm_and_pd(_mm_cmpneq_sd(det,_mm_setzero_pd()), rd);
+//     #endif
+    rd = _mm_shuffle_pd(rd,rd,0);
+
+    //  iB = C*|B| - D*B#*A
+    dB = _mm_shuffle_pd(dB,dB,0);
+    iB1 = _mm_sub_pd(_mm_mul_pd(C1, dB), iB1);
+    iB2 = _mm_sub_pd(_mm_mul_pd(C2, dB), iB2);
+
+    d1 = _mm_xor_pd(rd, _Sign_PN);
+    d2 = _mm_xor_pd(rd, _Sign_NP);
+
+    //  iC = B*|C| - A*C#*D;
+    dC = _mm_shuffle_pd(dC,dC,0);
+    iC1 = _mm_sub_pd(_mm_mul_pd(B1, dC), iC1);
+    iC2 = _mm_sub_pd(_mm_mul_pd(B2, dC), iC2);
+
+    Index res_stride = result.outerStride();
+    double* res = result.data();
+    pstoret<double, Packet2d, ResultAlignment>(res+0,             _mm_mul_pd(_mm_shuffle_pd(iA2, iA1, 3), d1));
+    pstoret<double, Packet2d, ResultAlignment>(res+res_stride,    _mm_mul_pd(_mm_shuffle_pd(iA2, iA1, 0), d2));
+    pstoret<double, Packet2d, ResultAlignment>(res+2,             _mm_mul_pd(_mm_shuffle_pd(iB2, iB1, 3), d1));
+    pstoret<double, Packet2d, ResultAlignment>(res+res_stride+2,  _mm_mul_pd(_mm_shuffle_pd(iB2, iB1, 0), d2));
+    pstoret<double, Packet2d, ResultAlignment>(res+2*res_stride,  _mm_mul_pd(_mm_shuffle_pd(iC2, iC1, 3), d1));
+    pstoret<double, Packet2d, ResultAlignment>(res+3*res_stride,  _mm_mul_pd(_mm_shuffle_pd(iC2, iC1, 0), d2));
+    pstoret<double, Packet2d, ResultAlignment>(res+2*res_stride+2,_mm_mul_pd(_mm_shuffle_pd(iD2, iD1, 3), d1));
+    pstoret<double, Packet2d, ResultAlignment>(res+3*res_stride+2,_mm_mul_pd(_mm_shuffle_pd(iD2, iD1, 0), d2));
+  }
+};
+
+} // end namespace internal
+
+} // end namespace Eigen
+
+#endif // EIGEN_INVERSE_SSE_H
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/LU/Determinant.h
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/LU/Determinant.h	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/LU/Determinant.h	(revision 3761)
@@ -0,0 +1,101 @@
+// This file is part of Eigen, a lightweight C++ template library
+// for linear algebra.
+//
+// Copyright (C) 2008 Benoit Jacob <jacob.benoit.1@gmail.com>
+//
+// This Source Code Form is subject to the terms of the Mozilla
+// Public License v. 2.0. If a copy of the MPL was not distributed
+// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
+
+#ifndef EIGEN_DETERMINANT_H
+#define EIGEN_DETERMINANT_H
+
+namespace Eigen { 
+
+namespace internal {
+
+template<typename Derived>
+inline const typename Derived::Scalar bruteforce_det3_helper
+(const MatrixBase<Derived>& matrix, int a, int b, int c)
+{
+  return matrix.coeff(0,a)
+         * (matrix.coeff(1,b) * matrix.coeff(2,c) - matrix.coeff(1,c) * matrix.coeff(2,b));
+}
+
+template<typename Derived>
+const typename Derived::Scalar bruteforce_det4_helper
+(const MatrixBase<Derived>& matrix, int j, int k, int m, int n)
+{
+  return (matrix.coeff(j,0) * matrix.coeff(k,1) - matrix.coeff(k,0) * matrix.coeff(j,1))
+       * (matrix.coeff(m,2) * matrix.coeff(n,3) - matrix.coeff(n,2) * matrix.coeff(m,3));
+}
+
+template<typename Derived,
+         int DeterminantType = Derived::RowsAtCompileTime
+> struct determinant_impl
+{
+  static inline typename traits<Derived>::Scalar run(const Derived& m)
+  {
+    if(Derived::ColsAtCompileTime==Dynamic && m.rows()==0)
+      return typename traits<Derived>::Scalar(1);
+    return m.partialPivLu().determinant();
+  }
+};
+
+template<typename Derived> struct determinant_impl<Derived, 1>
+{
+  static inline typename traits<Derived>::Scalar run(const Derived& m)
+  {
+    return m.coeff(0,0);
+  }
+};
+
+template<typename Derived> struct determinant_impl<Derived, 2>
+{
+  static inline typename traits<Derived>::Scalar run(const Derived& m)
+  {
+    return m.coeff(0,0) * m.coeff(1,1) - m.coeff(1,0) * m.coeff(0,1);
+  }
+};
+
+template<typename Derived> struct determinant_impl<Derived, 3>
+{
+  static inline typename traits<Derived>::Scalar run(const Derived& m)
+  {
+    return bruteforce_det3_helper(m,0,1,2)
+          - bruteforce_det3_helper(m,1,0,2)
+          + bruteforce_det3_helper(m,2,0,1);
+  }
+};
+
+template<typename Derived> struct determinant_impl<Derived, 4>
+{
+  static typename traits<Derived>::Scalar run(const Derived& m)
+  {
+    // trick by Martin Costabel to compute 4x4 det with only 30 muls
+    return bruteforce_det4_helper(m,0,1,2,3)
+          - bruteforce_det4_helper(m,0,2,1,3)
+          + bruteforce_det4_helper(m,0,3,1,2)
+          + bruteforce_det4_helper(m,1,2,0,3)
+          - bruteforce_det4_helper(m,1,3,0,2)
+          + bruteforce_det4_helper(m,2,3,0,1);
+  }
+};
+
+} // end namespace internal
+
+/** \lu_module
+  *
+  * \returns the determinant of this matrix
+  */
+template<typename Derived>
+inline typename internal::traits<Derived>::Scalar MatrixBase<Derived>::determinant() const
+{
+  eigen_assert(rows() == cols());
+  typedef typename internal::nested_eval<Derived,Base::RowsAtCompileTime>::type Nested;
+  return internal::determinant_impl<typename internal::remove_all<Nested>::type>::run(derived());
+}
+
+} // end namespace Eigen
+
+#endif // EIGEN_DETERMINANT_H
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h	(revision 3761)
@@ -0,0 +1,614 @@
+// This file is part of Eigen, a lightweight C++ template library
+// for linear algebra.
+//
+// Copyright (C) 2006-2009 Benoit Jacob <jacob.benoit.1@gmail.com>
+// Copyright (C) 2009 Gael Guennebaud <gael.guennebaud@inria.fr>
+//
+// This Source Code Form is subject to the terms of the Mozilla
+// Public License v. 2.0. If a copy of the MPL was not distributed
+// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
+
+#ifndef EIGEN_PARTIALLU_H
+#define EIGEN_PARTIALLU_H
+
+namespace Eigen {
+
+namespace internal {
+template<typename _MatrixType> struct traits<PartialPivLU<_MatrixType> >
+ : traits<_MatrixType>
+{
+  typedef MatrixXpr XprKind;
+  typedef SolverStorage StorageKind;
+  typedef traits<_MatrixType> BaseTraits;
+  enum {
+    Flags = BaseTraits::Flags & RowMajorBit,
+    CoeffReadCost = Dynamic
+  };
+};
+
+template<typename T,typename Derived>
+struct enable_if_ref;
+// {
+//   typedef Derived type;
+// };
+
+template<typename T,typename Derived>
+struct enable_if_ref<Ref<T>,Derived> {
+  typedef Derived type;
+};
+
+} // end namespace internal
+
+/** \ingroup LU_Module
+  *
+  * \class PartialPivLU
+  *
+  * \brief LU decomposition of a matrix with partial pivoting, and related features
+  *
+  * \tparam _MatrixType the type of the matrix of which we are computing the LU decomposition
+  *
+  * This class represents a LU decomposition of a \b square \b invertible matrix, with partial pivoting: the matrix A
+  * is decomposed as A = PLU where L is unit-lower-triangular, U is upper-triangular, and P
+  * is a permutation matrix.
+  *
+  * Typically, partial pivoting LU decomposition is only considered numerically stable for square invertible
+  * matrices. Thus LAPACK's dgesv and dgesvx require the matrix to be square and invertible. The present class
+  * does the same. It will assert that the matrix is square, but it won't (actually it can't) check that the
+  * matrix is invertible: it is your task to check that you only use this decomposition on invertible matrices.
+  *
+  * The guaranteed safe alternative, working for all matrices, is the full pivoting LU decomposition, provided
+  * by class FullPivLU.
+  *
+  * This is \b not a rank-revealing LU decomposition. Many features are intentionally absent from this class,
+  * such as rank computation. If you need these features, use class FullPivLU.
+  *
+  * This LU decomposition is suitable to invert invertible matrices. It is what MatrixBase::inverse() uses
+  * in the general case.
+  * On the other hand, it is \b not suitable to determine whether a given matrix is invertible.
+  *
+  * The data of the LU decomposition can be directly accessed through the methods matrixLU(), permutationP().
+  *
+  * This class supports the \link InplaceDecomposition inplace decomposition \endlink mechanism.
+  * 
+  * \sa MatrixBase::partialPivLu(), MatrixBase::determinant(), MatrixBase::inverse(), MatrixBase::computeInverse(), class FullPivLU
+  */
+template<typename _MatrixType> class PartialPivLU
+  : public SolverBase<PartialPivLU<_MatrixType> >
+{
+  public:
+
+    typedef _MatrixType MatrixType;
+    typedef SolverBase<PartialPivLU> Base;
+    EIGEN_GENERIC_PUBLIC_INTERFACE(PartialPivLU)
+    // FIXME StorageIndex defined in EIGEN_GENERIC_PUBLIC_INTERFACE should be int
+    enum {
+      MaxRowsAtCompileTime = MatrixType::MaxRowsAtCompileTime,
+      MaxColsAtCompileTime = MatrixType::MaxColsAtCompileTime
+    };
+    typedef PermutationMatrix<RowsAtCompileTime, MaxRowsAtCompileTime> PermutationType;
+    typedef Transpositions<RowsAtCompileTime, MaxRowsAtCompileTime> TranspositionType;
+    typedef typename MatrixType::PlainObject PlainObject;
+
+    /**
+      * \brief Default Constructor.
+      *
+      * The default constructor is useful in cases in which the user intends to
+      * perform decompositions via PartialPivLU::compute(const MatrixType&).
+      */
+    PartialPivLU();
+
+    /** \brief Default Constructor with memory preallocation
+      *
+      * Like the default constructor but with preallocation of the internal data
+      * according to the specified problem \a size.
+      * \sa PartialPivLU()
+      */
+    explicit PartialPivLU(Index size);
+
+    /** Constructor.
+      *
+      * \param matrix the matrix of which to compute the LU decomposition.
+      *
+      * \warning The matrix should have full rank (e.g. if it's square, it should be invertible).
+      * If you need to deal with non-full rank, use class FullPivLU instead.
+      */
+    template<typename InputType>
+    explicit PartialPivLU(const EigenBase<InputType>& matrix);
+
+    /** Constructor for \link InplaceDecomposition inplace decomposition \endlink
+      *
+      * \param matrix the matrix of which to compute the LU decomposition.
+      *
+      * \warning The matrix should have full rank (e.g. if it's square, it should be invertible).
+      * If you need to deal with non-full rank, use class FullPivLU instead.
+      */
+    template<typename InputType>
+    explicit PartialPivLU(EigenBase<InputType>& matrix);
+
+    template<typename InputType>
+    PartialPivLU& compute(const EigenBase<InputType>& matrix) {
+      m_lu = matrix.derived();
+      compute();
+      return *this;
+    }
+
+    /** \returns the LU decomposition matrix: the upper-triangular part is U, the
+      * unit-lower-triangular part is L (at least for square matrices; in the non-square
+      * case, special care is needed, see the documentation of class FullPivLU).
+      *
+      * \sa matrixL(), matrixU()
+      */
+    inline const MatrixType& matrixLU() const
+    {
+      eigen_assert(m_isInitialized && "PartialPivLU is not initialized.");
+      return m_lu;
+    }
+
+    /** \returns the permutation matrix P.
+      */
+    inline const PermutationType& permutationP() const
+    {
+      eigen_assert(m_isInitialized && "PartialPivLU is not initialized.");
+      return m_p;
+    }
+
+    /** This method returns the solution x to the equation Ax=b, where A is the matrix of which
+      * *this is the LU decomposition.
+      *
+      * \param b the right-hand-side of the equation to solve. Can be a vector or a matrix,
+      *          the only requirement in order for the equation to make sense is that
+      *          b.rows()==A.rows(), where A is the matrix of which *this is the LU decomposition.
+      *
+      * \returns the solution.
+      *
+      * Example: \include PartialPivLU_solve.cpp
+      * Output: \verbinclude PartialPivLU_solve.out
+      *
+      * Since this PartialPivLU class assumes anyway that the matrix A is invertible, the solution
+      * theoretically exists and is unique regardless of b.
+      *
+      * \sa TriangularView::solve(), inverse(), computeInverse()
+      */
+    // FIXME this is a copy-paste of the base-class member to add the isInitialized assertion.
+    template<typename Rhs>
+    inline const Solve<PartialPivLU, Rhs>
+    solve(const MatrixBase<Rhs>& b) const
+    {
+      eigen_assert(m_isInitialized && "PartialPivLU is not initialized.");
+      return Solve<PartialPivLU, Rhs>(*this, b.derived());
+    }
+
+    /** \returns an estimate of the reciprocal condition number of the matrix of which \c *this is
+        the LU decomposition.
+      */
+    inline RealScalar rcond() const
+    {
+      eigen_assert(m_isInitialized && "PartialPivLU is not initialized.");
+      return internal::rcond_estimate_helper(m_l1_norm, *this);
+    }
+
+    /** \returns the inverse of the matrix of which *this is the LU decomposition.
+      *
+      * \warning The matrix being decomposed here is assumed to be invertible. If you need to check for
+      *          invertibility, use class FullPivLU instead.
+      *
+      * \sa MatrixBase::inverse(), LU::inverse()
+      */
+    inline const Inverse<PartialPivLU> inverse() const
+    {
+      eigen_assert(m_isInitialized && "PartialPivLU is not initialized.");
+      return Inverse<PartialPivLU>(*this);
+    }
+
+    /** \returns the determinant of the matrix of which
+      * *this is the LU decomposition. It has only linear complexity
+      * (that is, O(n) where n is the dimension of the square matrix)
+      * as the LU decomposition has already been computed.
+      *
+      * \note For fixed-size matrices of size up to 4, MatrixBase::determinant() offers
+      *       optimized paths.
+      *
+      * \warning a determinant can be very big or small, so for matrices
+      * of large enough dimension, there is a risk of overflow/underflow.
+      *
+      * \sa MatrixBase::determinant()
+      */
+    Scalar determinant() const;
+
+    MatrixType reconstructedMatrix() const;
+
+    inline Index rows() const { return m_lu.rows(); }
+    inline Index cols() const { return m_lu.cols(); }
+
+    #ifndef EIGEN_PARSED_BY_DOXYGEN
+    template<typename RhsType, typename DstType>
+    EIGEN_DEVICE_FUNC
+    void _solve_impl(const RhsType &rhs, DstType &dst) const {
+     /* The decomposition PA = LU can be rewritten as A = P^{-1} L U.
+      * So we proceed as follows:
+      * Step 1: compute c = Pb.
+      * Step 2: replace c by the solution x to Lx = c.
+      * Step 3: replace c by the solution x to Ux = c.
+      */
+
+      eigen_assert(rhs.rows() == m_lu.rows());
+
+      // Step 1
+      dst = permutationP() * rhs;
+
+      // Step 2
+      m_lu.template triangularView<UnitLower>().solveInPlace(dst);
+
+      // Step 3
+      m_lu.template triangularView<Upper>().solveInPlace(dst);
+    }
+
+    template<bool Conjugate, typename RhsType, typename DstType>
+    EIGEN_DEVICE_FUNC
+    void _solve_impl_transposed(const RhsType &rhs, DstType &dst) const {
+     /* The decomposition PA = LU can be rewritten as A = P^{-1} L U.
+      * So we proceed as follows:
+      * Step 1: compute c = Pb.
+      * Step 2: replace c by the solution x to Lx = c.
+      * Step 3: replace c by the solution x to Ux = c.
+      */
+
+      eigen_assert(rhs.rows() == m_lu.cols());
+
+      if (Conjugate) {
+        // Step 1
+        dst = m_lu.template triangularView<Upper>().adjoint().solve(rhs);
+        // Step 2
+        m_lu.template triangularView<UnitLower>().adjoint().solveInPlace(dst);
+      } else {
+        // Step 1
+        dst = m_lu.template triangularView<Upper>().transpose().solve(rhs);
+        // Step 2
+        m_lu.template triangularView<UnitLower>().transpose().solveInPlace(dst);
+      }
+      // Step 3
+      dst = permutationP().transpose() * dst;
+    }
+    #endif
+
+  protected:
+
+    static void check_template_parameters()
+    {
+      EIGEN_STATIC_ASSERT_NON_INTEGER(Scalar);
+    }
+
+    void compute();
+
+    MatrixType m_lu;
+    PermutationType m_p;
+    TranspositionType m_rowsTranspositions;
+    RealScalar m_l1_norm;
+    signed char m_det_p;
+    bool m_isInitialized;
+};
+
+template<typename MatrixType>
+PartialPivLU<MatrixType>::PartialPivLU()
+  : m_lu(),
+    m_p(),
+    m_rowsTranspositions(),
+    m_l1_norm(0),
+    m_det_p(0),
+    m_isInitialized(false)
+{
+}
+
+template<typename MatrixType>
+PartialPivLU<MatrixType>::PartialPivLU(Index size)
+  : m_lu(size, size),
+    m_p(size),
+    m_rowsTranspositions(size),
+    m_l1_norm(0),
+    m_det_p(0),
+    m_isInitialized(false)
+{
+}
+
+template<typename MatrixType>
+template<typename InputType>
+PartialPivLU<MatrixType>::PartialPivLU(const EigenBase<InputType>& matrix)
+  : m_lu(matrix.rows(),matrix.cols()),
+    m_p(matrix.rows()),
+    m_rowsTranspositions(matrix.rows()),
+    m_l1_norm(0),
+    m_det_p(0),
+    m_isInitialized(false)
+{
+  compute(matrix.derived());
+}
+
+template<typename MatrixType>
+template<typename InputType>
+PartialPivLU<MatrixType>::PartialPivLU(EigenBase<InputType>& matrix)
+  : m_lu(matrix.derived()),
+    m_p(matrix.rows()),
+    m_rowsTranspositions(matrix.rows()),
+    m_l1_norm(0),
+    m_det_p(0),
+    m_isInitialized(false)
+{
+  compute();
+}
+
+namespace internal {
+
+/** \internal This is the blocked version of fullpivlu_unblocked() */
+template<typename Scalar, int StorageOrder, typename PivIndex>
+struct partial_lu_impl
+{
+  // FIXME add a stride to Map, so that the following mapping becomes easier,
+  // another option would be to create an expression being able to automatically
+  // warp any Map, Matrix, and Block expressions as a unique type, but since that's exactly
+  // a Map + stride, why not adding a stride to Map, and convenient ctors from a Matrix,
+  // and Block.
+  typedef Map<Matrix<Scalar, Dynamic, Dynamic, StorageOrder> > MapLU;
+  typedef Block<MapLU, Dynamic, Dynamic> MatrixType;
+  typedef Block<MatrixType,Dynamic,Dynamic> BlockType;
+  typedef typename MatrixType::RealScalar RealScalar;
+
+  /** \internal performs the LU decomposition in-place of the matrix \a lu
+    * using an unblocked algorithm.
+    *
+    * In addition, this function returns the row transpositions in the
+    * vector \a row_transpositions which must have a size equal to the number
+    * of columns of the matrix \a lu, and an integer \a nb_transpositions
+    * which returns the actual number of transpositions.
+    *
+    * \returns The index of the first pivot which is exactly zero if any, or a negative number otherwise.
+    */
+  static Index unblocked_lu(MatrixType& lu, PivIndex* row_transpositions, PivIndex& nb_transpositions)
+  {
+    typedef scalar_score_coeff_op<Scalar> Scoring;
+    typedef typename Scoring::result_type Score;
+    const Index rows = lu.rows();
+    const Index cols = lu.cols();
+    const Index size = (std::min)(rows,cols);
+    nb_transpositions = 0;
+    Index first_zero_pivot = -1;
+    for(Index k = 0; k < size; ++k)
+    {
+      Index rrows = rows-k-1;
+      Index rcols = cols-k-1;
+
+      Index row_of_biggest_in_col;
+      Score biggest_in_corner
+        = lu.col(k).tail(rows-k).unaryExpr(Scoring()).maxCoeff(&row_of_biggest_in_col);
+      row_of_biggest_in_col += k;
+
+      row_transpositions[k] = PivIndex(row_of_biggest_in_col);
+
+      if(biggest_in_corner != Score(0))
+      {
+        if(k != row_of_biggest_in_col)
+        {
+          lu.row(k).swap(lu.row(row_of_biggest_in_col));
+          ++nb_transpositions;
+        }
+
+        // FIXME shall we introduce a safe quotient expression in cas 1/lu.coeff(k,k)
+        // overflow but not the actual quotient?
+        lu.col(k).tail(rrows) /= lu.coeff(k,k);
+      }
+      else if(first_zero_pivot==-1)
+      {
+        // the pivot is exactly zero, we record the index of the first pivot which is exactly 0,
+        // and continue the factorization such we still have A = PLU
+        first_zero_pivot = k;
+      }
+
+      if(k<rows-1)
+        lu.bottomRightCorner(rrows,rcols).noalias() -= lu.col(k).tail(rrows) * lu.row(k).tail(rcols);
+    }
+    return first_zero_pivot;
+  }
+
+  /** \internal performs the LU decomposition in-place of the matrix represented
+    * by the variables \a rows, \a cols, \a lu_data, and \a lu_stride using a
+    * recursive, blocked algorithm.
+    *
+    * In addition, this function returns the row transpositions in the
+    * vector \a row_transpositions which must have a size equal to the number
+    * of columns of the matrix \a lu, and an integer \a nb_transpositions
+    * which returns the actual number of transpositions.
+    *
+    * \returns The index of the first pivot which is exactly zero if any, or a negative number otherwise.
+    *
+    * \note This very low level interface using pointers, etc. is to:
+    *   1 - reduce the number of instanciations to the strict minimum
+    *   2 - avoid infinite recursion of the instanciations with Block<Block<Block<...> > >
+    */
+  static Index blocked_lu(Index rows, Index cols, Scalar* lu_data, Index luStride, PivIndex* row_transpositions, PivIndex& nb_transpositions, Index maxBlockSize=256)
+  {
+    MapLU lu1(lu_data,StorageOrder==RowMajor?rows:luStride,StorageOrder==RowMajor?luStride:cols);
+    MatrixType lu(lu1,0,0,rows,cols);
+
+    const Index size = (std::min)(rows,cols);
+
+    // if the matrix is too small, no blocking:
+    if(size<=16)
+    {
+      return unblocked_lu(lu, row_transpositions, nb_transpositions);
+    }
+
+    // automatically adjust the number of subdivisions to the size
+    // of the matrix so that there is enough sub blocks:
+    Index blockSize;
+    {
+      blockSize = size/8;
+      blockSize = (blockSize/16)*16;
+      blockSize = (std::min)((std::max)(blockSize,Index(8)), maxBlockSize);
+    }
+
+    nb_transpositions = 0;
+    Index first_zero_pivot = -1;
+    for(Index k = 0; k < size; k+=blockSize)
+    {
+      Index bs = (std::min)(size-k,blockSize); // actual size of the block
+      Index trows = rows - k - bs; // trailing rows
+      Index tsize = size - k - bs; // trailing size
+
+      // partition the matrix:
+      //                          A00 | A01 | A02
+      // lu  = A_0 | A_1 | A_2 =  A10 | A11 | A12
+      //                          A20 | A21 | A22
+      BlockType A_0(lu,0,0,rows,k);
+      BlockType A_2(lu,0,k+bs,rows,tsize);
+      BlockType A11(lu,k,k,bs,bs);
+      BlockType A12(lu,k,k+bs,bs,tsize);
+      BlockType A21(lu,k+bs,k,trows,bs);
+      BlockType A22(lu,k+bs,k+bs,trows,tsize);
+
+      PivIndex nb_transpositions_in_panel;
+      // recursively call the blocked LU algorithm on [A11^T A21^T]^T
+      // with a very small blocking size:
+      Index ret = blocked_lu(trows+bs, bs, &lu.coeffRef(k,k), luStride,
+                   row_transpositions+k, nb_transpositions_in_panel, 16);
+      if(ret>=0 && first_zero_pivot==-1)
+        first_zero_pivot = k+ret;
+
+      nb_transpositions += nb_transpositions_in_panel;
+      // update permutations and apply them to A_0
+      for(Index i=k; i<k+bs; ++i)
+      {
+        Index piv = (row_transpositions[i] += internal::convert_index<PivIndex>(k));
+        A_0.row(i).swap(A_0.row(piv));
+      }
+
+      if(trows)
+      {
+        // apply permutations to A_2
+        for(Index i=k;i<k+bs; ++i)
+          A_2.row(i).swap(A_2.row(row_transpositions[i]));
+
+        // A12 = A11^-1 A12
+        A11.template triangularView<UnitLower>().solveInPlace(A12);
+
+        A22.noalias() -= A21 * A12;
+      }
+    }
+    return first_zero_pivot;
+  }
+};
+
+/** \internal performs the LU decomposition with partial pivoting in-place.
+  */
+template<typename MatrixType, typename TranspositionType>
+void partial_lu_inplace(MatrixType& lu, TranspositionType& row_transpositions, typename TranspositionType::StorageIndex& nb_transpositions)
+{
+  eigen_assert(lu.cols() == row_transpositions.size());
+  eigen_assert((&row_transpositions.coeffRef(1)-&row_transpositions.coeffRef(0)) == 1);
+
+  partial_lu_impl
+    <typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor, typename TranspositionType::StorageIndex>
+    ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions);
+}
+
+} // end namespace internal
+
+template<typename MatrixType>
+void PartialPivLU<MatrixType>::compute()
+{
+  check_template_parameters();
+
+  // the row permutation is stored as int indices, so just to be sure:
+  eigen_assert(m_lu.rows()<NumTraits<int>::highest());
+
+  if(m_lu.cols()>0)
+    m_l1_norm = m_lu.cwiseAbs().colwise().sum().maxCoeff();
+  else
+    m_l1_norm = RealScalar(0);
+
+  eigen_assert(m_lu.rows() == m_lu.cols() && "PartialPivLU is only for square (and moreover invertible) matrices");
+  const Index size = m_lu.rows();
+
+  m_rowsTranspositions.resize(size);
+
+  typename TranspositionType::StorageIndex nb_transpositions;
+  internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions);
+  m_det_p = (nb_transpositions%2) ? -1 : 1;
+
+  m_p = m_rowsTranspositions;
+
+  m_isInitialized = true;
+}
+
+template<typename MatrixType>
+typename PartialPivLU<MatrixType>::Scalar PartialPivLU<MatrixType>::determinant() const
+{
+  eigen_assert(m_isInitialized && "PartialPivLU is not initialized.");
+  return Scalar(m_det_p) * m_lu.diagonal().prod();
+}
+
+/** \returns the matrix represented by the decomposition,
+ * i.e., it returns the product: P^{-1} L U.
+ * This function is provided for debug purpose. */
+template<typename MatrixType>
+MatrixType PartialPivLU<MatrixType>::reconstructedMatrix() const
+{
+  eigen_assert(m_isInitialized && "LU is not initialized.");
+  // LU
+  MatrixType res = m_lu.template triangularView<UnitLower>().toDenseMatrix()
+                 * m_lu.template triangularView<Upper>();
+
+  // P^{-1}(LU)
+  res = m_p.inverse() * res;
+
+  return res;
+}
+
+/***** Implementation details *****************************************************/
+
+namespace internal {
+
+/***** Implementation of inverse() *****************************************************/
+template<typename DstXprType, typename MatrixType>
+struct Assignment<DstXprType, Inverse<PartialPivLU<MatrixType> >, internal::assign_op<typename DstXprType::Scalar,typename PartialPivLU<MatrixType>::Scalar>, Dense2Dense>
+{
+  typedef PartialPivLU<MatrixType> LuType;
+  typedef Inverse<LuType> SrcXprType;
+  static void run(DstXprType &dst, const SrcXprType &src, const internal::assign_op<typename DstXprType::Scalar,typename LuType::Scalar> &)
+  {
+    dst = src.nestedExpression().solve(MatrixType::Identity(src.rows(), src.cols()));
+  }
+};
+} // end namespace internal
+
+/******** MatrixBase methods *******/
+
+/** \lu_module
+  *
+  * \return the partial-pivoting LU decomposition of \c *this.
+  *
+  * \sa class PartialPivLU
+  */
+template<typename Derived>
+inline const PartialPivLU<typename MatrixBase<Derived>::PlainObject>
+MatrixBase<Derived>::partialPivLu() const
+{
+  return PartialPivLU<PlainObject>(eval());
+}
+
+/** \lu_module
+  *
+  * Synonym of partialPivLu().
+  *
+  * \return the partial-pivoting LU decomposition of \c *this.
+  *
+  * \sa class PartialPivLU
+  */
+template<typename Derived>
+inline const PartialPivLU<typename MatrixBase<Derived>::PlainObject>
+MatrixBase<Derived>::lu() const
+{
+  return PartialPivLU<PlainObject>(eval());
+}
+
+} // end namespace Eigen
+
+#endif // EIGEN_PARTIALLU_H
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/LU/PartialPivLU_LAPACKE.h
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/LU/PartialPivLU_LAPACKE.h	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/LU/PartialPivLU_LAPACKE.h	(revision 3761)
@@ -0,0 +1,83 @@
+/*
+ Copyright (c) 2011, Intel Corporation. All rights reserved.
+
+ Redistribution and use in source and binary forms, with or without modification,
+ are permitted provided that the following conditions are met:
+
+ * Redistributions of source code must retain the above copyright notice, this
+   list of conditions and the following disclaimer.
+ * Redistributions in binary form must reproduce the above copyright notice,
+   this list of conditions and the following disclaimer in the documentation
+   and/or other materials provided with the distribution.
+ * Neither the name of Intel Corporation nor the names of its contributors may
+   be used to endorse or promote products derived from this software without
+   specific prior written permission.
+
+ THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND
+ ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED
+ WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
+ DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE LIABLE FOR
+ ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES
+ (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES;
+ LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON
+ ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
+ (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS
+ SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
+
+ ********************************************************************************
+ *   Content : Eigen bindings to LAPACKe
+ *     LU decomposition with partial pivoting based on LAPACKE_?getrf function.
+ ********************************************************************************
+*/
+
+#ifndef EIGEN_PARTIALLU_LAPACK_H
+#define EIGEN_PARTIALLU_LAPACK_H
+
+namespace Eigen { 
+
+namespace internal {
+
+/** \internal Specialization for the data types supported by LAPACKe */
+
+#define EIGEN_LAPACKE_LU_PARTPIV(EIGTYPE, LAPACKE_TYPE, LAPACKE_PREFIX) \
+template<int StorageOrder> \
+struct partial_lu_impl<EIGTYPE, StorageOrder, lapack_int> \
+{ \
+  /* \internal performs the LU decomposition in-place of the matrix represented */ \
+  static lapack_int blocked_lu(Index rows, Index cols, EIGTYPE* lu_data, Index luStride, lapack_int* row_transpositions, lapack_int& nb_transpositions, lapack_int maxBlockSize=256) \
+  { \
+    EIGEN_UNUSED_VARIABLE(maxBlockSize);\
+    lapack_int matrix_order, first_zero_pivot; \
+    lapack_int m, n, lda, *ipiv, info; \
+    EIGTYPE* a; \
+/* Set up parameters for ?getrf */ \
+    matrix_order = StorageOrder==RowMajor ? LAPACK_ROW_MAJOR : LAPACK_COL_MAJOR; \
+    lda = convert_index<lapack_int>(luStride); \
+    a = lu_data; \
+    ipiv = row_transpositions; \
+    m = convert_index<lapack_int>(rows); \
+    n = convert_index<lapack_int>(cols); \
+    nb_transpositions = 0; \
+\
+    info = LAPACKE_##LAPACKE_PREFIX##getrf( matrix_order, m, n, (LAPACKE_TYPE*)a, lda, ipiv ); \
+\
+    for(int i=0;i<m;i++) { ipiv[i]--; if (ipiv[i]!=i) nb_transpositions++; } \
+\
+    eigen_assert(info >= 0); \
+/* something should be done with nb_transpositions */ \
+\
+    first_zero_pivot = info; \
+    return first_zero_pivot; \
+  } \
+};
+
+EIGEN_LAPACKE_LU_PARTPIV(double, double, d)
+EIGEN_LAPACKE_LU_PARTPIV(float, float, s)
+EIGEN_LAPACKE_LU_PARTPIV(dcomplex, lapack_complex_double, z)
+EIGEN_LAPACKE_LU_PARTPIV(scomplex, lapack_complex_float,  c)
+
+} // end namespace internal
+
+} // end namespace Eigen
+
+#endif // EIGEN_PARTIALLU_LAPACK_H
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/LU/InverseImpl.h
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/LU/InverseImpl.h	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/LU/InverseImpl.h	(revision 3761)
@@ -0,0 +1,415 @@
+// This file is part of Eigen, a lightweight C++ template library
+// for linear algebra.
+//
+// Copyright (C) 2008-2010 Benoit Jacob <jacob.benoit.1@gmail.com>
+// Copyright (C) 2014 Gael Guennebaud <gael.guennebaud@inria.fr>
+//
+// This Source Code Form is subject to the terms of the Mozilla
+// Public License v. 2.0. If a copy of the MPL was not distributed
+// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
+
+#ifndef EIGEN_INVERSE_IMPL_H
+#define EIGEN_INVERSE_IMPL_H
+
+namespace Eigen { 
+
+namespace internal {
+
+/**********************************
+*** General case implementation ***
+**********************************/
+
+template<typename MatrixType, typename ResultType, int Size = MatrixType::RowsAtCompileTime>
+struct compute_inverse
+{
+  EIGEN_DEVICE_FUNC
+  static inline void run(const MatrixType& matrix, ResultType& result)
+  {
+    result = matrix.partialPivLu().inverse();
+  }
+};
+
+template<typename MatrixType, typename ResultType, int Size = MatrixType::RowsAtCompileTime>
+struct compute_inverse_and_det_with_check { /* nothing! general case not supported. */ };
+
+/****************************
+*** Size 1 implementation ***
+****************************/
+
+template<typename MatrixType, typename ResultType>
+struct compute_inverse<MatrixType, ResultType, 1>
+{
+  EIGEN_DEVICE_FUNC
+  static inline void run(const MatrixType& matrix, ResultType& result)
+  {
+    typedef typename MatrixType::Scalar Scalar;
+    internal::evaluator<MatrixType> matrixEval(matrix);
+    result.coeffRef(0,0) = Scalar(1) / matrixEval.coeff(0,0);
+  }
+};
+
+template<typename MatrixType, typename ResultType>
+struct compute_inverse_and_det_with_check<MatrixType, ResultType, 1>
+{
+  EIGEN_DEVICE_FUNC
+  static inline void run(
+    const MatrixType& matrix,
+    const typename MatrixType::RealScalar& absDeterminantThreshold,
+    ResultType& result,
+    typename ResultType::Scalar& determinant,
+    bool& invertible
+  )
+  {
+    using std::abs;
+    determinant = matrix.coeff(0,0);
+    invertible = abs(determinant) > absDeterminantThreshold;
+    if(invertible) result.coeffRef(0,0) = typename ResultType::Scalar(1) / determinant;
+  }
+};
+
+/****************************
+*** Size 2 implementation ***
+****************************/
+
+template<typename MatrixType, typename ResultType>
+EIGEN_DEVICE_FUNC 
+inline void compute_inverse_size2_helper(
+    const MatrixType& matrix, const typename ResultType::Scalar& invdet,
+    ResultType& result)
+{
+  result.coeffRef(0,0) =  matrix.coeff(1,1) * invdet;
+  result.coeffRef(1,0) = -matrix.coeff(1,0) * invdet;
+  result.coeffRef(0,1) = -matrix.coeff(0,1) * invdet;
+  result.coeffRef(1,1) =  matrix.coeff(0,0) * invdet;
+}
+
+template<typename MatrixType, typename ResultType>
+struct compute_inverse<MatrixType, ResultType, 2>
+{
+  EIGEN_DEVICE_FUNC
+  static inline void run(const MatrixType& matrix, ResultType& result)
+  {
+    typedef typename ResultType::Scalar Scalar;
+    const Scalar invdet = typename MatrixType::Scalar(1) / matrix.determinant();
+    compute_inverse_size2_helper(matrix, invdet, result);
+  }
+};
+
+template<typename MatrixType, typename ResultType>
+struct compute_inverse_and_det_with_check<MatrixType, ResultType, 2>
+{
+  EIGEN_DEVICE_FUNC
+  static inline void run(
+    const MatrixType& matrix,
+    const typename MatrixType::RealScalar& absDeterminantThreshold,
+    ResultType& inverse,
+    typename ResultType::Scalar& determinant,
+    bool& invertible
+  )
+  {
+    using std::abs;
+    typedef typename ResultType::Scalar Scalar;
+    determinant = matrix.determinant();
+    invertible = abs(determinant) > absDeterminantThreshold;
+    if(!invertible) return;
+    const Scalar invdet = Scalar(1) / determinant;
+    compute_inverse_size2_helper(matrix, invdet, inverse);
+  }
+};
+
+/****************************
+*** Size 3 implementation ***
+****************************/
+
+template<typename MatrixType, int i, int j>
+EIGEN_DEVICE_FUNC 
+inline typename MatrixType::Scalar cofactor_3x3(const MatrixType& m)
+{
+  enum {
+    i1 = (i+1) % 3,
+    i2 = (i+2) % 3,
+    j1 = (j+1) % 3,
+    j2 = (j+2) % 3
+  };
+  return m.coeff(i1, j1) * m.coeff(i2, j2)
+       - m.coeff(i1, j2) * m.coeff(i2, j1);
+}
+
+template<typename MatrixType, typename ResultType>
+EIGEN_DEVICE_FUNC
+inline void compute_inverse_size3_helper(
+    const MatrixType& matrix,
+    const typename ResultType::Scalar& invdet,
+    const Matrix<typename ResultType::Scalar,3,1>& cofactors_col0,
+    ResultType& result)
+{
+  result.row(0) = cofactors_col0 * invdet;
+  result.coeffRef(1,0) =  cofactor_3x3<MatrixType,0,1>(matrix) * invdet;
+  result.coeffRef(1,1) =  cofactor_3x3<MatrixType,1,1>(matrix) * invdet;
+  result.coeffRef(1,2) =  cofactor_3x3<MatrixType,2,1>(matrix) * invdet;
+  result.coeffRef(2,0) =  cofactor_3x3<MatrixType,0,2>(matrix) * invdet;
+  result.coeffRef(2,1) =  cofactor_3x3<MatrixType,1,2>(matrix) * invdet;
+  result.coeffRef(2,2) =  cofactor_3x3<MatrixType,2,2>(matrix) * invdet;
+}
+
+template<typename MatrixType, typename ResultType>
+struct compute_inverse<MatrixType, ResultType, 3>
+{
+  EIGEN_DEVICE_FUNC
+  static inline void run(const MatrixType& matrix, ResultType& result)
+  {
+    typedef typename ResultType::Scalar Scalar;
+    Matrix<typename MatrixType::Scalar,3,1> cofactors_col0;
+    cofactors_col0.coeffRef(0) =  cofactor_3x3<MatrixType,0,0>(matrix);
+    cofactors_col0.coeffRef(1) =  cofactor_3x3<MatrixType,1,0>(matrix);
+    cofactors_col0.coeffRef(2) =  cofactor_3x3<MatrixType,2,0>(matrix);
+    const Scalar det = (cofactors_col0.cwiseProduct(matrix.col(0))).sum();
+    const Scalar invdet = Scalar(1) / det;
+    compute_inverse_size3_helper(matrix, invdet, cofactors_col0, result);
+  }
+};
+
+template<typename MatrixType, typename ResultType>
+struct compute_inverse_and_det_with_check<MatrixType, ResultType, 3>
+{
+  EIGEN_DEVICE_FUNC
+  static inline void run(
+    const MatrixType& matrix,
+    const typename MatrixType::RealScalar& absDeterminantThreshold,
+    ResultType& inverse,
+    typename ResultType::Scalar& determinant,
+    bool& invertible
+  )
+  {
+    using std::abs;
+    typedef typename ResultType::Scalar Scalar;
+    Matrix<Scalar,3,1> cofactors_col0;
+    cofactors_col0.coeffRef(0) =  cofactor_3x3<MatrixType,0,0>(matrix);
+    cofactors_col0.coeffRef(1) =  cofactor_3x3<MatrixType,1,0>(matrix);
+    cofactors_col0.coeffRef(2) =  cofactor_3x3<MatrixType,2,0>(matrix);
+    determinant = (cofactors_col0.cwiseProduct(matrix.col(0))).sum();
+    invertible = abs(determinant) > absDeterminantThreshold;
+    if(!invertible) return;
+    const Scalar invdet = Scalar(1) / determinant;
+    compute_inverse_size3_helper(matrix, invdet, cofactors_col0, inverse);
+  }
+};
+
+/****************************
+*** Size 4 implementation ***
+****************************/
+
+template<typename Derived>
+EIGEN_DEVICE_FUNC 
+inline const typename Derived::Scalar general_det3_helper
+(const MatrixBase<Derived>& matrix, int i1, int i2, int i3, int j1, int j2, int j3)
+{
+  return matrix.coeff(i1,j1)
+         * (matrix.coeff(i2,j2) * matrix.coeff(i3,j3) - matrix.coeff(i2,j3) * matrix.coeff(i3,j2));
+}
+
+template<typename MatrixType, int i, int j>
+EIGEN_DEVICE_FUNC 
+inline typename MatrixType::Scalar cofactor_4x4(const MatrixType& matrix)
+{
+  enum {
+    i1 = (i+1) % 4,
+    i2 = (i+2) % 4,
+    i3 = (i+3) % 4,
+    j1 = (j+1) % 4,
+    j2 = (j+2) % 4,
+    j3 = (j+3) % 4
+  };
+  return general_det3_helper(matrix, i1, i2, i3, j1, j2, j3)
+       + general_det3_helper(matrix, i2, i3, i1, j1, j2, j3)
+       + general_det3_helper(matrix, i3, i1, i2, j1, j2, j3);
+}
+
+template<int Arch, typename Scalar, typename MatrixType, typename ResultType>
+struct compute_inverse_size4
+{
+  EIGEN_DEVICE_FUNC
+  static void run(const MatrixType& matrix, ResultType& result)
+  {
+    result.coeffRef(0,0) =  cofactor_4x4<MatrixType,0,0>(matrix);
+    result.coeffRef(1,0) = -cofactor_4x4<MatrixType,0,1>(matrix);
+    result.coeffRef(2,0) =  cofactor_4x4<MatrixType,0,2>(matrix);
+    result.coeffRef(3,0) = -cofactor_4x4<MatrixType,0,3>(matrix);
+    result.coeffRef(0,2) =  cofactor_4x4<MatrixType,2,0>(matrix);
+    result.coeffRef(1,2) = -cofactor_4x4<MatrixType,2,1>(matrix);
+    result.coeffRef(2,2) =  cofactor_4x4<MatrixType,2,2>(matrix);
+    result.coeffRef(3,2) = -cofactor_4x4<MatrixType,2,3>(matrix);
+    result.coeffRef(0,1) = -cofactor_4x4<MatrixType,1,0>(matrix);
+    result.coeffRef(1,1) =  cofactor_4x4<MatrixType,1,1>(matrix);
+    result.coeffRef(2,1) = -cofactor_4x4<MatrixType,1,2>(matrix);
+    result.coeffRef(3,1) =  cofactor_4x4<MatrixType,1,3>(matrix);
+    result.coeffRef(0,3) = -cofactor_4x4<MatrixType,3,0>(matrix);
+    result.coeffRef(1,3) =  cofactor_4x4<MatrixType,3,1>(matrix);
+    result.coeffRef(2,3) = -cofactor_4x4<MatrixType,3,2>(matrix);
+    result.coeffRef(3,3) =  cofactor_4x4<MatrixType,3,3>(matrix);
+    result /= (matrix.col(0).cwiseProduct(result.row(0).transpose())).sum();
+  }
+};
+
+template<typename MatrixType, typename ResultType>
+struct compute_inverse<MatrixType, ResultType, 4>
+ : compute_inverse_size4<Architecture::Target, typename MatrixType::Scalar,
+                            MatrixType, ResultType>
+{
+};
+
+template<typename MatrixType, typename ResultType>
+struct compute_inverse_and_det_with_check<MatrixType, ResultType, 4>
+{
+  EIGEN_DEVICE_FUNC
+  static inline void run(
+    const MatrixType& matrix,
+    const typename MatrixType::RealScalar& absDeterminantThreshold,
+    ResultType& inverse,
+    typename ResultType::Scalar& determinant,
+    bool& invertible
+  )
+  {
+    using std::abs;
+    determinant = matrix.determinant();
+    invertible = abs(determinant) > absDeterminantThreshold;
+    if(invertible) compute_inverse<MatrixType, ResultType>::run(matrix, inverse);
+  }
+};
+
+/*************************
+*** MatrixBase methods ***
+*************************/
+
+} // end namespace internal
+
+namespace internal {
+
+// Specialization for "dense = dense_xpr.inverse()"
+template<typename DstXprType, typename XprType>
+struct Assignment<DstXprType, Inverse<XprType>, internal::assign_op<typename DstXprType::Scalar,typename XprType::Scalar>, Dense2Dense>
+{
+  typedef Inverse<XprType> SrcXprType;
+  static void run(DstXprType &dst, const SrcXprType &src, const internal::assign_op<typename DstXprType::Scalar,typename XprType::Scalar> &)
+  {
+    Index dstRows = src.rows();
+    Index dstCols = src.cols();
+    if((dst.rows()!=dstRows) || (dst.cols()!=dstCols))
+      dst.resize(dstRows, dstCols);
+    
+    const int Size = EIGEN_PLAIN_ENUM_MIN(XprType::ColsAtCompileTime,DstXprType::ColsAtCompileTime);
+    EIGEN_ONLY_USED_FOR_DEBUG(Size);
+    eigen_assert(( (Size<=1) || (Size>4) || (extract_data(src.nestedExpression())!=extract_data(dst)))
+              && "Aliasing problem detected in inverse(), you need to do inverse().eval() here.");
+
+    typedef typename internal::nested_eval<XprType,XprType::ColsAtCompileTime>::type  ActualXprType;
+    typedef typename internal::remove_all<ActualXprType>::type                        ActualXprTypeCleanded;
+    
+    ActualXprType actual_xpr(src.nestedExpression());
+    
+    compute_inverse<ActualXprTypeCleanded, DstXprType>::run(actual_xpr, dst);
+  }
+};
+
+  
+} // end namespace internal
+
+/** \lu_module
+  *
+  * \returns the matrix inverse of this matrix.
+  *
+  * For small fixed sizes up to 4x4, this method uses cofactors.
+  * In the general case, this method uses class PartialPivLU.
+  *
+  * \note This matrix must be invertible, otherwise the result is undefined. If you need an
+  * invertibility check, do the following:
+  * \li for fixed sizes up to 4x4, use computeInverseAndDetWithCheck().
+  * \li for the general case, use class FullPivLU.
+  *
+  * Example: \include MatrixBase_inverse.cpp
+  * Output: \verbinclude MatrixBase_inverse.out
+  *
+  * \sa computeInverseAndDetWithCheck()
+  */
+template<typename Derived>
+inline const Inverse<Derived> MatrixBase<Derived>::inverse() const
+{
+  EIGEN_STATIC_ASSERT(!NumTraits<Scalar>::IsInteger,THIS_FUNCTION_IS_NOT_FOR_INTEGER_NUMERIC_TYPES)
+  eigen_assert(rows() == cols());
+  return Inverse<Derived>(derived());
+}
+
+/** \lu_module
+  *
+  * Computation of matrix inverse and determinant, with invertibility check.
+  *
+  * This is only for fixed-size square matrices of size up to 4x4.
+  *
+  * \param inverse Reference to the matrix in which to store the inverse.
+  * \param determinant Reference to the variable in which to store the determinant.
+  * \param invertible Reference to the bool variable in which to store whether the matrix is invertible.
+  * \param absDeterminantThreshold Optional parameter controlling the invertibility check.
+  *                                The matrix will be declared invertible if the absolute value of its
+  *                                determinant is greater than this threshold.
+  *
+  * Example: \include MatrixBase_computeInverseAndDetWithCheck.cpp
+  * Output: \verbinclude MatrixBase_computeInverseAndDetWithCheck.out
+  *
+  * \sa inverse(), computeInverseWithCheck()
+  */
+template<typename Derived>
+template<typename ResultType>
+inline void MatrixBase<Derived>::computeInverseAndDetWithCheck(
+    ResultType& inverse,
+    typename ResultType::Scalar& determinant,
+    bool& invertible,
+    const RealScalar& absDeterminantThreshold
+  ) const
+{
+  // i'd love to put some static assertions there, but SFINAE means that they have no effect...
+  eigen_assert(rows() == cols());
+  // for 2x2, it's worth giving a chance to avoid evaluating.
+  // for larger sizes, evaluating has negligible cost and limits code size.
+  typedef typename internal::conditional<
+    RowsAtCompileTime == 2,
+    typename internal::remove_all<typename internal::nested_eval<Derived, 2>::type>::type,
+    PlainObject
+  >::type MatrixType;
+  internal::compute_inverse_and_det_with_check<MatrixType, ResultType>::run
+    (derived(), absDeterminantThreshold, inverse, determinant, invertible);
+}
+
+/** \lu_module
+  *
+  * Computation of matrix inverse, with invertibility check.
+  *
+  * This is only for fixed-size square matrices of size up to 4x4.
+  *
+  * \param inverse Reference to the matrix in which to store the inverse.
+  * \param invertible Reference to the bool variable in which to store whether the matrix is invertible.
+  * \param absDeterminantThreshold Optional parameter controlling the invertibility check.
+  *                                The matrix will be declared invertible if the absolute value of its
+  *                                determinant is greater than this threshold.
+  *
+  * Example: \include MatrixBase_computeInverseWithCheck.cpp
+  * Output: \verbinclude MatrixBase_computeInverseWithCheck.out
+  *
+  * \sa inverse(), computeInverseAndDetWithCheck()
+  */
+template<typename Derived>
+template<typename ResultType>
+inline void MatrixBase<Derived>::computeInverseWithCheck(
+    ResultType& inverse,
+    bool& invertible,
+    const RealScalar& absDeterminantThreshold
+  ) const
+{
+  Scalar determinant;
+  // i'd love to put some static assertions there, but SFINAE means that they have no effect...
+  eigen_assert(rows() == cols());
+  computeInverseAndDetWithCheck(inverse,determinant,invertible,absDeterminantThreshold);
+}
+
+} // end namespace Eigen
+
+#endif // EIGEN_INVERSE_IMPL_H
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/plugins/CommonCwiseUnaryOps.h
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/plugins/CommonCwiseUnaryOps.h	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/plugins/CommonCwiseUnaryOps.h	(revision 3761)
@@ -0,0 +1,163 @@
+// This file is part of Eigen, a lightweight C++ template library
+// for linear algebra.
+//
+// Copyright (C) 2008-2009 Gael Guennebaud <gael.guennebaud@inria.fr>
+// Copyright (C) 2006-2008 Benoit Jacob <jacob.benoit.1@gmail.com>
+//
+// This Source Code Form is subject to the terms of the Mozilla
+// Public License v. 2.0. If a copy of the MPL was not distributed
+// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
+
+// This file is a base class plugin containing common coefficient wise functions.
+
+#ifndef EIGEN_PARSED_BY_DOXYGEN
+
+/** \internal the return type of conjugate() */
+typedef typename internal::conditional<NumTraits<Scalar>::IsComplex,
+                    const CwiseUnaryOp<internal::scalar_conjugate_op<Scalar>, const Derived>,
+                    const Derived&
+                  >::type ConjugateReturnType;
+/** \internal the return type of real() const */
+typedef typename internal::conditional<NumTraits<Scalar>::IsComplex,
+                    const CwiseUnaryOp<internal::scalar_real_op<Scalar>, const Derived>,
+                    const Derived&
+                  >::type RealReturnType;
+/** \internal the return type of real() */
+typedef typename internal::conditional<NumTraits<Scalar>::IsComplex,
+                    CwiseUnaryView<internal::scalar_real_ref_op<Scalar>, Derived>,
+                    Derived&
+                  >::type NonConstRealReturnType;
+/** \internal the return type of imag() const */
+typedef CwiseUnaryOp<internal::scalar_imag_op<Scalar>, const Derived> ImagReturnType;
+/** \internal the return type of imag() */
+typedef CwiseUnaryView<internal::scalar_imag_ref_op<Scalar>, Derived> NonConstImagReturnType;
+
+typedef CwiseUnaryOp<internal::scalar_opposite_op<Scalar>, const Derived> NegativeReturnType;
+
+#endif // not EIGEN_PARSED_BY_DOXYGEN
+
+/// \returns an expression of the opposite of \c *this
+///
+EIGEN_DOC_UNARY_ADDONS(operator-,opposite)
+///
+EIGEN_DEVICE_FUNC
+inline const NegativeReturnType
+operator-() const { return NegativeReturnType(derived()); }
+
+
+template<class NewType> struct CastXpr { typedef typename internal::cast_return_type<Derived,const CwiseUnaryOp<internal::scalar_cast_op<Scalar, NewType>, const Derived> >::type Type; };
+
+/// \returns an expression of \c *this with the \a Scalar type casted to
+/// \a NewScalar.
+///
+/// The template parameter \a NewScalar is the type we are casting the scalars to.
+///
+EIGEN_DOC_UNARY_ADDONS(cast,conversion function)
+///
+/// \sa class CwiseUnaryOp
+///
+template<typename NewType>
+EIGEN_DEVICE_FUNC
+typename CastXpr<NewType>::Type
+cast() const
+{
+  return typename CastXpr<NewType>::Type(derived());
+}
+
+/// \returns an expression of the complex conjugate of \c *this.
+///
+EIGEN_DOC_UNARY_ADDONS(conjugate,complex conjugate)
+///
+/// \sa <a href="group__CoeffwiseMathFunctions.html#cwisetable_conj">Math functions</a>, MatrixBase::adjoint()
+EIGEN_DEVICE_FUNC
+inline ConjugateReturnType
+conjugate() const
+{
+  return ConjugateReturnType(derived());
+}
+
+/// \returns a read-only expression of the real part of \c *this.
+///
+EIGEN_DOC_UNARY_ADDONS(real,real part function)
+///
+/// \sa imag()
+EIGEN_DEVICE_FUNC
+inline RealReturnType
+real() const { return RealReturnType(derived()); }
+
+/// \returns an read-only expression of the imaginary part of \c *this.
+///
+EIGEN_DOC_UNARY_ADDONS(imag,imaginary part function)
+///
+/// \sa real()
+EIGEN_DEVICE_FUNC
+inline const ImagReturnType
+imag() const { return ImagReturnType(derived()); }
+
+/// \brief Apply a unary operator coefficient-wise
+/// \param[in]  func  Functor implementing the unary operator
+/// \tparam  CustomUnaryOp Type of \a func
+/// \returns An expression of a custom coefficient-wise unary operator \a func of *this
+///
+/// The function \c ptr_fun() from the C++ standard library can be used to make functors out of normal functions.
+///
+/// Example:
+/// \include class_CwiseUnaryOp_ptrfun.cpp
+/// Output: \verbinclude class_CwiseUnaryOp_ptrfun.out
+///
+/// Genuine functors allow for more possibilities, for instance it may contain a state.
+///
+/// Example:
+/// \include class_CwiseUnaryOp.cpp
+/// Output: \verbinclude class_CwiseUnaryOp.out
+///
+EIGEN_DOC_UNARY_ADDONS(unaryExpr,unary function)
+///
+/// \sa unaryViewExpr, binaryExpr, class CwiseUnaryOp
+///
+template<typename CustomUnaryOp>
+EIGEN_DEVICE_FUNC
+inline const CwiseUnaryOp<CustomUnaryOp, const Derived>
+unaryExpr(const CustomUnaryOp& func = CustomUnaryOp()) const
+{
+  return CwiseUnaryOp<CustomUnaryOp, const Derived>(derived(), func);
+}
+
+/// \returns an expression of a custom coefficient-wise unary operator \a func of *this
+///
+/// The template parameter \a CustomUnaryOp is the type of the functor
+/// of the custom unary operator.
+///
+/// Example:
+/// \include class_CwiseUnaryOp.cpp
+/// Output: \verbinclude class_CwiseUnaryOp.out
+///
+EIGEN_DOC_UNARY_ADDONS(unaryViewExpr,unary function)
+///
+/// \sa unaryExpr, binaryExpr class CwiseUnaryOp
+///
+template<typename CustomViewOp>
+EIGEN_DEVICE_FUNC
+inline const CwiseUnaryView<CustomViewOp, const Derived>
+unaryViewExpr(const CustomViewOp& func = CustomViewOp()) const
+{
+  return CwiseUnaryView<CustomViewOp, const Derived>(derived(), func);
+}
+
+/// \returns a non const expression of the real part of \c *this.
+///
+EIGEN_DOC_UNARY_ADDONS(real,real part function)
+///
+/// \sa imag()
+EIGEN_DEVICE_FUNC
+inline NonConstRealReturnType
+real() { return NonConstRealReturnType(derived()); }
+
+/// \returns a non const expression of the imaginary part of \c *this.
+///
+EIGEN_DOC_UNARY_ADDONS(imag,imaginary part function)
+///
+/// \sa real()
+EIGEN_DEVICE_FUNC
+inline NonConstImagReturnType
+imag() { return NonConstImagReturnType(derived()); }
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/plugins/MatrixCwiseBinaryOps.h
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/plugins/MatrixCwiseBinaryOps.h	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/plugins/MatrixCwiseBinaryOps.h	(revision 3761)
@@ -0,0 +1,152 @@
+// This file is part of Eigen, a lightweight C++ template library
+// for linear algebra.
+//
+// Copyright (C) 2008-2009 Gael Guennebaud <gael.guennebaud@inria.fr>
+// Copyright (C) 2006-2008 Benoit Jacob <jacob.benoit.1@gmail.com>
+//
+// This Source Code Form is subject to the terms of the Mozilla
+// Public License v. 2.0. If a copy of the MPL was not distributed
+// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
+
+// This file is a base class plugin containing matrix specifics coefficient wise functions.
+
+/** \returns an expression of the Schur product (coefficient wise product) of *this and \a other
+  *
+  * Example: \include MatrixBase_cwiseProduct.cpp
+  * Output: \verbinclude MatrixBase_cwiseProduct.out
+  *
+  * \sa class CwiseBinaryOp, cwiseAbs2
+  */
+template<typename OtherDerived>
+EIGEN_DEVICE_FUNC
+EIGEN_STRONG_INLINE const EIGEN_CWISE_BINARY_RETURN_TYPE(Derived,OtherDerived,product)
+cwiseProduct(const EIGEN_CURRENT_STORAGE_BASE_CLASS<OtherDerived> &other) const
+{
+  return EIGEN_CWISE_BINARY_RETURN_TYPE(Derived,OtherDerived,product)(derived(), other.derived());
+}
+
+/** \returns an expression of the coefficient-wise == operator of *this and \a other
+  *
+  * \warning this performs an exact comparison, which is generally a bad idea with floating-point types.
+  * In order to check for equality between two vectors or matrices with floating-point coefficients, it is
+  * generally a far better idea to use a fuzzy comparison as provided by isApprox() and
+  * isMuchSmallerThan().
+  *
+  * Example: \include MatrixBase_cwiseEqual.cpp
+  * Output: \verbinclude MatrixBase_cwiseEqual.out
+  *
+  * \sa cwiseNotEqual(), isApprox(), isMuchSmallerThan()
+  */
+template<typename OtherDerived>
+EIGEN_DEVICE_FUNC
+inline const CwiseBinaryOp<std::equal_to<Scalar>, const Derived, const OtherDerived>
+cwiseEqual(const EIGEN_CURRENT_STORAGE_BASE_CLASS<OtherDerived> &other) const
+{
+  return CwiseBinaryOp<std::equal_to<Scalar>, const Derived, const OtherDerived>(derived(), other.derived());
+}
+
+/** \returns an expression of the coefficient-wise != operator of *this and \a other
+  *
+  * \warning this performs an exact comparison, which is generally a bad idea with floating-point types.
+  * In order to check for equality between two vectors or matrices with floating-point coefficients, it is
+  * generally a far better idea to use a fuzzy comparison as provided by isApprox() and
+  * isMuchSmallerThan().
+  *
+  * Example: \include MatrixBase_cwiseNotEqual.cpp
+  * Output: \verbinclude MatrixBase_cwiseNotEqual.out
+  *
+  * \sa cwiseEqual(), isApprox(), isMuchSmallerThan()
+  */
+template<typename OtherDerived>
+EIGEN_DEVICE_FUNC
+inline const CwiseBinaryOp<std::not_equal_to<Scalar>, const Derived, const OtherDerived>
+cwiseNotEqual(const EIGEN_CURRENT_STORAGE_BASE_CLASS<OtherDerived> &other) const
+{
+  return CwiseBinaryOp<std::not_equal_to<Scalar>, const Derived, const OtherDerived>(derived(), other.derived());
+}
+
+/** \returns an expression of the coefficient-wise min of *this and \a other
+  *
+  * Example: \include MatrixBase_cwiseMin.cpp
+  * Output: \verbinclude MatrixBase_cwiseMin.out
+  *
+  * \sa class CwiseBinaryOp, max()
+  */
+template<typename OtherDerived>
+EIGEN_DEVICE_FUNC
+EIGEN_STRONG_INLINE const CwiseBinaryOp<internal::scalar_min_op<Scalar,Scalar>, const Derived, const OtherDerived>
+cwiseMin(const EIGEN_CURRENT_STORAGE_BASE_CLASS<OtherDerived> &other) const
+{
+  return CwiseBinaryOp<internal::scalar_min_op<Scalar,Scalar>, const Derived, const OtherDerived>(derived(), other.derived());
+}
+
+/** \returns an expression of the coefficient-wise min of *this and scalar \a other
+  *
+  * \sa class CwiseBinaryOp, min()
+  */
+EIGEN_DEVICE_FUNC
+EIGEN_STRONG_INLINE const CwiseBinaryOp<internal::scalar_min_op<Scalar,Scalar>, const Derived, const ConstantReturnType>
+cwiseMin(const Scalar &other) const
+{
+  return cwiseMin(Derived::Constant(rows(), cols(), other));
+}
+
+/** \returns an expression of the coefficient-wise max of *this and \a other
+  *
+  * Example: \include MatrixBase_cwiseMax.cpp
+  * Output: \verbinclude MatrixBase_cwiseMax.out
+  *
+  * \sa class CwiseBinaryOp, min()
+  */
+template<typename OtherDerived>
+EIGEN_DEVICE_FUNC
+EIGEN_STRONG_INLINE const CwiseBinaryOp<internal::scalar_max_op<Scalar,Scalar>, const Derived, const OtherDerived>
+cwiseMax(const EIGEN_CURRENT_STORAGE_BASE_CLASS<OtherDerived> &other) const
+{
+  return CwiseBinaryOp<internal::scalar_max_op<Scalar,Scalar>, const Derived, const OtherDerived>(derived(), other.derived());
+}
+
+/** \returns an expression of the coefficient-wise max of *this and scalar \a other
+  *
+  * \sa class CwiseBinaryOp, min()
+  */
+EIGEN_DEVICE_FUNC
+EIGEN_STRONG_INLINE const CwiseBinaryOp<internal::scalar_max_op<Scalar,Scalar>, const Derived, const ConstantReturnType>
+cwiseMax(const Scalar &other) const
+{
+  return cwiseMax(Derived::Constant(rows(), cols(), other));
+}
+
+
+/** \returns an expression of the coefficient-wise quotient of *this and \a other
+  *
+  * Example: \include MatrixBase_cwiseQuotient.cpp
+  * Output: \verbinclude MatrixBase_cwiseQuotient.out
+  *
+  * \sa class CwiseBinaryOp, cwiseProduct(), cwiseInverse()
+  */
+template<typename OtherDerived>
+EIGEN_DEVICE_FUNC
+EIGEN_STRONG_INLINE const CwiseBinaryOp<internal::scalar_quotient_op<Scalar>, const Derived, const OtherDerived>
+cwiseQuotient(const EIGEN_CURRENT_STORAGE_BASE_CLASS<OtherDerived> &other) const
+{
+  return CwiseBinaryOp<internal::scalar_quotient_op<Scalar>, const Derived, const OtherDerived>(derived(), other.derived());
+}
+
+typedef CwiseBinaryOp<internal::scalar_cmp_op<Scalar,Scalar,internal::cmp_EQ>, const Derived, const ConstantReturnType> CwiseScalarEqualReturnType;
+
+/** \returns an expression of the coefficient-wise == operator of \c *this and a scalar \a s
+  *
+  * \warning this performs an exact comparison, which is generally a bad idea with floating-point types.
+  * In order to check for equality between two vectors or matrices with floating-point coefficients, it is
+  * generally a far better idea to use a fuzzy comparison as provided by isApprox() and
+  * isMuchSmallerThan().
+  *
+  * \sa cwiseEqual(const MatrixBase<OtherDerived> &) const
+  */
+EIGEN_DEVICE_FUNC
+inline const CwiseScalarEqualReturnType
+cwiseEqual(const Scalar& s) const
+{
+  return CwiseScalarEqualReturnType(derived(), Derived::Constant(rows(), cols(), s), internal::scalar_cmp_op<Scalar,Scalar,internal::cmp_EQ>());
+}
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/plugins/ArrayCwiseUnaryOps.h
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/plugins/ArrayCwiseUnaryOps.h	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/plugins/ArrayCwiseUnaryOps.h	(revision 3761)
@@ -0,0 +1,552 @@
+
+
+typedef CwiseUnaryOp<internal::scalar_abs_op<Scalar>, const Derived> AbsReturnType;
+typedef CwiseUnaryOp<internal::scalar_arg_op<Scalar>, const Derived> ArgReturnType;
+typedef CwiseUnaryOp<internal::scalar_abs2_op<Scalar>, const Derived> Abs2ReturnType;
+typedef CwiseUnaryOp<internal::scalar_sqrt_op<Scalar>, const Derived> SqrtReturnType;
+typedef CwiseUnaryOp<internal::scalar_rsqrt_op<Scalar>, const Derived> RsqrtReturnType;
+typedef CwiseUnaryOp<internal::scalar_sign_op<Scalar>, const Derived> SignReturnType;
+typedef CwiseUnaryOp<internal::scalar_inverse_op<Scalar>, const Derived> InverseReturnType;
+typedef CwiseUnaryOp<internal::scalar_boolean_not_op<Scalar>, const Derived> BooleanNotReturnType;
+
+typedef CwiseUnaryOp<internal::scalar_exp_op<Scalar>, const Derived> ExpReturnType;
+typedef CwiseUnaryOp<internal::scalar_log_op<Scalar>, const Derived> LogReturnType;
+typedef CwiseUnaryOp<internal::scalar_log1p_op<Scalar>, const Derived> Log1pReturnType;
+typedef CwiseUnaryOp<internal::scalar_log10_op<Scalar>, const Derived> Log10ReturnType;
+typedef CwiseUnaryOp<internal::scalar_cos_op<Scalar>, const Derived> CosReturnType;
+typedef CwiseUnaryOp<internal::scalar_sin_op<Scalar>, const Derived> SinReturnType;
+typedef CwiseUnaryOp<internal::scalar_tan_op<Scalar>, const Derived> TanReturnType;
+typedef CwiseUnaryOp<internal::scalar_acos_op<Scalar>, const Derived> AcosReturnType;
+typedef CwiseUnaryOp<internal::scalar_asin_op<Scalar>, const Derived> AsinReturnType;
+typedef CwiseUnaryOp<internal::scalar_atan_op<Scalar>, const Derived> AtanReturnType;
+typedef CwiseUnaryOp<internal::scalar_tanh_op<Scalar>, const Derived> TanhReturnType;
+typedef CwiseUnaryOp<internal::scalar_sinh_op<Scalar>, const Derived> SinhReturnType;
+typedef CwiseUnaryOp<internal::scalar_cosh_op<Scalar>, const Derived> CoshReturnType;
+typedef CwiseUnaryOp<internal::scalar_square_op<Scalar>, const Derived> SquareReturnType;
+typedef CwiseUnaryOp<internal::scalar_cube_op<Scalar>, const Derived> CubeReturnType;
+typedef CwiseUnaryOp<internal::scalar_round_op<Scalar>, const Derived> RoundReturnType;
+typedef CwiseUnaryOp<internal::scalar_floor_op<Scalar>, const Derived> FloorReturnType;
+typedef CwiseUnaryOp<internal::scalar_ceil_op<Scalar>, const Derived> CeilReturnType;
+typedef CwiseUnaryOp<internal::scalar_isnan_op<Scalar>, const Derived> IsNaNReturnType;
+typedef CwiseUnaryOp<internal::scalar_isinf_op<Scalar>, const Derived> IsInfReturnType;
+typedef CwiseUnaryOp<internal::scalar_isfinite_op<Scalar>, const Derived> IsFiniteReturnType;
+
+/** \returns an expression of the coefficient-wise absolute value of \c *this
+  *
+  * Example: \include Cwise_abs.cpp
+  * Output: \verbinclude Cwise_abs.out
+  *
+  * \sa <a href="group__CoeffwiseMathFunctions.html#cwisetable_abs">Math functions</a>, abs2()
+  */
+EIGEN_DEVICE_FUNC
+EIGEN_STRONG_INLINE const AbsReturnType
+abs() const
+{
+  return AbsReturnType(derived());
+}
+
+/** \returns an expression of the coefficient-wise phase angle of \c *this
+  *
+  * Example: \include Cwise_arg.cpp
+  * Output: \verbinclude Cwise_arg.out
+  *
+  * \sa abs()
+  */
+EIGEN_DEVICE_FUNC
+EIGEN_STRONG_INLINE const ArgReturnType
+arg() const
+{
+  return ArgReturnType(derived());
+}
+
+/** \returns an expression of the coefficient-wise squared absolute value of \c *this
+  *
+  * Example: \include Cwise_abs2.cpp
+  * Output: \verbinclude Cwise_abs2.out
+  *
+  * \sa <a href="group__CoeffwiseMathFunctions.html#cwisetable_abs2">Math functions</a>, abs(), square()
+  */
+EIGEN_DEVICE_FUNC
+EIGEN_STRONG_INLINE const Abs2ReturnType
+abs2() const
+{
+  return Abs2ReturnType(derived());
+}
+
+/** \returns an expression of the coefficient-wise exponential of *this.
+  *
+  * This function computes the coefficient-wise exponential. The function MatrixBase::exp() in the
+  * unsupported module MatrixFunctions computes the matrix exponential.
+  *
+  * Example: \include Cwise_exp.cpp
+  * Output: \verbinclude Cwise_exp.out
+  *
+  * \sa <a href="group__CoeffwiseMathFunctions.html#cwisetable_exp">Math functions</a>, pow(), log(), sin(), cos()
+  */
+EIGEN_DEVICE_FUNC
+inline const ExpReturnType
+exp() const
+{
+  return ExpReturnType(derived());
+}
+
+/** \returns an expression of the coefficient-wise logarithm of *this.
+  *
+  * This function computes the coefficient-wise logarithm. The function MatrixBase::log() in the
+  * unsupported module MatrixFunctions computes the matrix logarithm.
+  *
+  * Example: \include Cwise_log.cpp
+  * Output: \verbinclude Cwise_log.out
+  *
+  * \sa <a href="group__CoeffwiseMathFunctions.html#cwisetable_log">Math functions</a>, exp()
+  */
+EIGEN_DEVICE_FUNC
+inline const LogReturnType
+log() const
+{
+  return LogReturnType(derived());
+}
+
+/** \returns an expression of the coefficient-wise logarithm of 1 plus \c *this.
+  *
+  * In exact arithmetic, \c x.log() is equivalent to \c (x+1).log(),
+  * however, with finite precision, this function is much more accurate when \c x is close to zero.
+  *
+  * \sa <a href="group__CoeffwiseMathFunctions.html#cwisetable_log1p">Math functions</a>, log()
+  */
+EIGEN_DEVICE_FUNC
+inline const Log1pReturnType
+log1p() const
+{
+  return Log1pReturnType(derived());
+}
+
+/** \returns an expression of the coefficient-wise base-10 logarithm of *this.
+  *
+  * This function computes the coefficient-wise base-10 logarithm.
+  *
+  * Example: \include Cwise_log10.cpp
+  * Output: \verbinclude Cwise_log10.out
+  *
+  * \sa <a href="group__CoeffwiseMathFunctions.html#cwisetable_log10">Math functions</a>, log()
+  */
+EIGEN_DEVICE_FUNC
+inline const Log10ReturnType
+log10() const
+{
+  return Log10ReturnType(derived());
+}
+
+/** \returns an expression of the coefficient-wise square root of *this.
+  *
+  * This function computes the coefficient-wise square root. The function MatrixBase::sqrt() in the
+  * unsupported module MatrixFunctions computes the matrix square root.
+  *
+  * Example: \include Cwise_sqrt.cpp
+  * Output: \verbinclude Cwise_sqrt.out
+  *
+  * \sa <a href="group__CoeffwiseMathFunctions.html#cwisetable_sqrt">Math functions</a>, pow(), square()
+  */
+EIGEN_DEVICE_FUNC
+inline const SqrtReturnType
+sqrt() const
+{
+  return SqrtReturnType(derived());
+}
+
+/** \returns an expression of the coefficient-wise inverse square root of *this.
+  *
+  * This function computes the coefficient-wise inverse square root.
+  *
+  * Example: \include Cwise_sqrt.cpp
+  * Output: \verbinclude Cwise_sqrt.out
+  *
+  * \sa pow(), square()
+  */
+EIGEN_DEVICE_FUNC
+inline const RsqrtReturnType
+rsqrt() const
+{
+  return RsqrtReturnType(derived());
+}
+
+/** \returns an expression of the coefficient-wise signum of *this.
+  *
+  * This function computes the coefficient-wise signum.
+  *
+  * Example: \include Cwise_sign.cpp
+  * Output: \verbinclude Cwise_sign.out
+  *
+  * \sa pow(), square()
+  */
+EIGEN_DEVICE_FUNC
+inline const SignReturnType
+sign() const
+{
+  return SignReturnType(derived());
+}
+
+
+/** \returns an expression of the coefficient-wise cosine of *this.
+  *
+  * This function computes the coefficient-wise cosine. The function MatrixBase::cos() in the
+  * unsupported module MatrixFunctions computes the matrix cosine.
+  *
+  * Example: \include Cwise_cos.cpp
+  * Output: \verbinclude Cwise_cos.out
+  *
+  * \sa <a href="group__CoeffwiseMathFunctions.html#cwisetable_cos">Math functions</a>, sin(), acos()
+  */
+EIGEN_DEVICE_FUNC
+inline const CosReturnType
+cos() const
+{
+  return CosReturnType(derived());
+}
+
+
+/** \returns an expression of the coefficient-wise sine of *this.
+  *
+  * This function computes the coefficient-wise sine. The function MatrixBase::sin() in the
+  * unsupported module MatrixFunctions computes the matrix sine.
+  *
+  * Example: \include Cwise_sin.cpp
+  * Output: \verbinclude Cwise_sin.out
+  *
+  * \sa <a href="group__CoeffwiseMathFunctions.html#cwisetable_sin">Math functions</a>, cos(), asin()
+  */
+EIGEN_DEVICE_FUNC
+inline const SinReturnType
+sin() const
+{
+  return SinReturnType(derived());
+}
+
+/** \returns an expression of the coefficient-wise tan of *this.
+  *
+  * Example: \include Cwise_tan.cpp
+  * Output: \verbinclude Cwise_tan.out
+  *
+  * \sa <a href="group__CoeffwiseMathFunctions.html#cwisetable_tan">Math functions</a>, cos(), sin()
+  */
+EIGEN_DEVICE_FUNC
+inline const TanReturnType
+tan() const
+{
+  return TanReturnType(derived());
+}
+
+/** \returns an expression of the coefficient-wise arc tan of *this.
+  *
+  * Example: \include Cwise_atan.cpp
+  * Output: \verbinclude Cwise_atan.out
+  *
+  * \sa <a href="group__CoeffwiseMathFunctions.html#cwisetable_atan">Math functions</a>, tan(), asin(), acos()
+  */
+EIGEN_DEVICE_FUNC
+inline const AtanReturnType
+atan() const
+{
+  return AtanReturnType(derived());
+}
+
+/** \returns an expression of the coefficient-wise arc cosine of *this.
+  *
+  * Example: \include Cwise_acos.cpp
+  * Output: \verbinclude Cwise_acos.out
+  *
+  * \sa <a href="group__CoeffwiseMathFunctions.html#cwisetable_acos">Math functions</a>, cos(), asin()
+  */
+EIGEN_DEVICE_FUNC
+inline const AcosReturnType
+acos() const
+{
+  return AcosReturnType(derived());
+}
+
+/** \returns an expression of the coefficient-wise arc sine of *this.
+  *
+  * Example: \include Cwise_asin.cpp
+  * Output: \verbinclude Cwise_asin.out
+  *
+  * \sa <a href="group__CoeffwiseMathFunctions.html#cwisetable_asin">Math functions</a>, sin(), acos()
+  */
+EIGEN_DEVICE_FUNC
+inline const AsinReturnType
+asin() const
+{
+  return AsinReturnType(derived());
+}
+
+/** \returns an expression of the coefficient-wise hyperbolic tan of *this.
+  *
+  * Example: \include Cwise_tanh.cpp
+  * Output: \verbinclude Cwise_tanh.out
+  *
+  * \sa <a href="group__CoeffwiseMathFunctions.html#cwisetable_tanh">Math functions</a>, tan(), sinh(), cosh()
+  */
+EIGEN_DEVICE_FUNC
+inline const TanhReturnType
+tanh() const
+{
+  return TanhReturnType(derived());
+}
+
+/** \returns an expression of the coefficient-wise hyperbolic sin of *this.
+  *
+  * Example: \include Cwise_sinh.cpp
+  * Output: \verbinclude Cwise_sinh.out
+  *
+  * \sa <a href="group__CoeffwiseMathFunctions.html#cwisetable_sinh">Math functions</a>, sin(), tanh(), cosh()
+  */
+EIGEN_DEVICE_FUNC
+inline const SinhReturnType
+sinh() const
+{
+  return SinhReturnType(derived());
+}
+
+/** \returns an expression of the coefficient-wise hyperbolic cos of *this.
+  *
+  * Example: \include Cwise_cosh.cpp
+  * Output: \verbinclude Cwise_cosh.out
+  *
+  * \sa <a href="group__CoeffwiseMathFunctions.html#cwisetable_cosh">Math functions</a>, tan(), sinh(), cosh()
+  */
+EIGEN_DEVICE_FUNC
+inline const CoshReturnType
+cosh() const
+{
+  return CoshReturnType(derived());
+}
+
+/** \returns an expression of the coefficient-wise inverse of *this.
+  *
+  * Example: \include Cwise_inverse.cpp
+  * Output: \verbinclude Cwise_inverse.out
+  *
+  * \sa operator/(), operator*()
+  */
+EIGEN_DEVICE_FUNC
+inline const InverseReturnType
+inverse() const
+{
+  return InverseReturnType(derived());
+}
+
+/** \returns an expression of the coefficient-wise square of *this.
+  *
+  * Example: \include Cwise_square.cpp
+  * Output: \verbinclude Cwise_square.out
+  *
+  * \sa <a href="group__CoeffwiseMathFunctions.html#cwisetable_squareE">Math functions</a>, abs2(), cube(), pow()
+  */
+EIGEN_DEVICE_FUNC
+inline const SquareReturnType
+square() const
+{
+  return SquareReturnType(derived());
+}
+
+/** \returns an expression of the coefficient-wise cube of *this.
+  *
+  * Example: \include Cwise_cube.cpp
+  * Output: \verbinclude Cwise_cube.out
+  *
+  * \sa <a href="group__CoeffwiseMathFunctions.html#cwisetable_cube">Math functions</a>, square(), pow()
+  */
+EIGEN_DEVICE_FUNC
+inline const CubeReturnType
+cube() const
+{
+  return CubeReturnType(derived());
+}
+
+/** \returns an expression of the coefficient-wise round of *this.
+  *
+  * Example: \include Cwise_round.cpp
+  * Output: \verbinclude Cwise_round.out
+  *
+  * \sa <a href="group__CoeffwiseMathFunctions.html#cwisetable_round">Math functions</a>, ceil(), floor()
+  */
+EIGEN_DEVICE_FUNC
+inline const RoundReturnType
+round() const
+{
+  return RoundReturnType(derived());
+}
+
+/** \returns an expression of the coefficient-wise floor of *this.
+  *
+  * Example: \include Cwise_floor.cpp
+  * Output: \verbinclude Cwise_floor.out
+  *
+  * \sa <a href="group__CoeffwiseMathFunctions.html#cwisetable_floor">Math functions</a>, ceil(), round()
+  */
+EIGEN_DEVICE_FUNC
+inline const FloorReturnType
+floor() const
+{
+  return FloorReturnType(derived());
+}
+
+/** \returns an expression of the coefficient-wise ceil of *this.
+  *
+  * Example: \include Cwise_ceil.cpp
+  * Output: \verbinclude Cwise_ceil.out
+  *
+  * \sa <a href="group__CoeffwiseMathFunctions.html#cwisetable_ceil">Math functions</a>, floor(), round()
+  */
+EIGEN_DEVICE_FUNC
+inline const CeilReturnType
+ceil() const
+{
+  return CeilReturnType(derived());
+}
+
+/** \returns an expression of the coefficient-wise isnan of *this.
+  *
+  * Example: \include Cwise_isNaN.cpp
+  * Output: \verbinclude Cwise_isNaN.out
+  *
+  * \sa isfinite(), isinf()
+  */
+EIGEN_DEVICE_FUNC
+inline const IsNaNReturnType
+isNaN() const
+{
+  return IsNaNReturnType(derived());
+}
+
+/** \returns an expression of the coefficient-wise isinf of *this.
+  *
+  * Example: \include Cwise_isInf.cpp
+  * Output: \verbinclude Cwise_isInf.out
+  *
+  * \sa isnan(), isfinite()
+  */
+EIGEN_DEVICE_FUNC
+inline const IsInfReturnType
+isInf() const
+{
+  return IsInfReturnType(derived());
+}
+
+/** \returns an expression of the coefficient-wise isfinite of *this.
+  *
+  * Example: \include Cwise_isFinite.cpp
+  * Output: \verbinclude Cwise_isFinite.out
+  *
+  * \sa isnan(), isinf()
+  */
+EIGEN_DEVICE_FUNC
+inline const IsFiniteReturnType
+isFinite() const
+{
+  return IsFiniteReturnType(derived());
+}
+
+/** \returns an expression of the coefficient-wise ! operator of *this
+  *
+  * \warning this operator is for expression of bool only.
+  *
+  * Example: \include Cwise_boolean_not.cpp
+  * Output: \verbinclude Cwise_boolean_not.out
+  *
+  * \sa operator!=()
+  */
+EIGEN_DEVICE_FUNC
+inline const BooleanNotReturnType
+operator!() const
+{
+  EIGEN_STATIC_ASSERT((internal::is_same<bool,Scalar>::value),
+                      THIS_METHOD_IS_ONLY_FOR_EXPRESSIONS_OF_BOOL);
+  return BooleanNotReturnType(derived());
+}
+
+
+// --- SpecialFunctions module ---
+
+typedef CwiseUnaryOp<internal::scalar_lgamma_op<Scalar>, const Derived> LgammaReturnType;
+typedef CwiseUnaryOp<internal::scalar_digamma_op<Scalar>, const Derived> DigammaReturnType;
+typedef CwiseUnaryOp<internal::scalar_erf_op<Scalar>, const Derived> ErfReturnType;
+typedef CwiseUnaryOp<internal::scalar_erfc_op<Scalar>, const Derived> ErfcReturnType;
+
+/** \cpp11 \returns an expression of the coefficient-wise ln(|gamma(*this)|).
+  *
+  * \specialfunctions_module
+  *
+  * Example: \include Cwise_lgamma.cpp
+  * Output: \verbinclude Cwise_lgamma.out
+  *
+  * \note This function supports only float and double scalar types in c++11 mode. To support other scalar types,
+  * or float/double in non c++11 mode, the user has to provide implementations of lgamma(T) for any scalar
+  * type T to be supported.
+  *
+  * \sa <a href="group__CoeffwiseMathFunctions.html#cwisetable_lgamma">Math functions</a>, digamma()
+  */
+EIGEN_DEVICE_FUNC
+inline const LgammaReturnType
+lgamma() const
+{
+  return LgammaReturnType(derived());
+}
+
+/** \returns an expression of the coefficient-wise digamma (psi, derivative of lgamma).
+  *
+  * \specialfunctions_module
+  *
+  * \note This function supports only float and double scalar types. To support other scalar types,
+  * the user has to provide implementations of digamma(T) for any scalar
+  * type T to be supported.
+  *
+  * \sa <a href="group__CoeffwiseMathFunctions.html#cwisetable_digamma">Math functions</a>, Eigen::digamma(), Eigen::polygamma(), lgamma()
+  */
+EIGEN_DEVICE_FUNC
+inline const DigammaReturnType
+digamma() const
+{
+  return DigammaReturnType(derived());
+}
+
+/** \cpp11 \returns an expression of the coefficient-wise Gauss error
+  * function of *this.
+  *
+  * \specialfunctions_module
+  *
+  * Example: \include Cwise_erf.cpp
+  * Output: \verbinclude Cwise_erf.out
+  *
+  * \note This function supports only float and double scalar types in c++11 mode. To support other scalar types,
+  * or float/double in non c++11 mode, the user has to provide implementations of erf(T) for any scalar
+  * type T to be supported.
+  *
+  * \sa <a href="group__CoeffwiseMathFunctions.html#cwisetable_erf">Math functions</a>, erfc()
+  */
+EIGEN_DEVICE_FUNC
+inline const ErfReturnType
+erf() const
+{
+  return ErfReturnType(derived());
+}
+
+/** \cpp11 \returns an expression of the coefficient-wise Complementary error
+  * function of *this.
+  *
+  * \specialfunctions_module
+  *
+  * Example: \include Cwise_erfc.cpp
+  * Output: \verbinclude Cwise_erfc.out
+  *
+  * \note This function supports only float and double scalar types in c++11 mode. To support other scalar types,
+  * or float/double in non c++11 mode, the user has to provide implementations of erfc(T) for any scalar
+  * type T to be supported.
+  *
+  * \sa <a href="group__CoeffwiseMathFunctions.html#cwisetable_erfc">Math functions</a>, erf()
+  */
+EIGEN_DEVICE_FUNC
+inline const ErfcReturnType
+erfc() const
+{
+  return ErfcReturnType(derived());
+}
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/plugins/CommonCwiseBinaryOps.h
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/plugins/CommonCwiseBinaryOps.h	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/plugins/CommonCwiseBinaryOps.h	(revision 3761)
@@ -0,0 +1,115 @@
+// This file is part of Eigen, a lightweight C++ template library
+// for linear algebra.
+//
+// Copyright (C) 2008-2016 Gael Guennebaud <gael.guennebaud@inria.fr>
+// Copyright (C) 2006-2008 Benoit Jacob <jacob.benoit.1@gmail.com>
+//
+// This Source Code Form is subject to the terms of the Mozilla
+// Public License v. 2.0. If a copy of the MPL was not distributed
+// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
+
+// This file is a base class plugin containing common coefficient wise functions.
+
+/** \returns an expression of the difference of \c *this and \a other
+  *
+  * \note If you want to substract a given scalar from all coefficients, see Cwise::operator-().
+  *
+  * \sa class CwiseBinaryOp, operator-=()
+  */
+EIGEN_MAKE_CWISE_BINARY_OP(operator-,difference)
+
+/** \returns an expression of the sum of \c *this and \a other
+  *
+  * \note If you want to add a given scalar to all coefficients, see Cwise::operator+().
+  *
+  * \sa class CwiseBinaryOp, operator+=()
+  */
+EIGEN_MAKE_CWISE_BINARY_OP(operator+,sum)
+
+/** \returns an expression of a custom coefficient-wise operator \a func of *this and \a other
+  *
+  * The template parameter \a CustomBinaryOp is the type of the functor
+  * of the custom operator (see class CwiseBinaryOp for an example)
+  *
+  * Here is an example illustrating the use of custom functors:
+  * \include class_CwiseBinaryOp.cpp
+  * Output: \verbinclude class_CwiseBinaryOp.out
+  *
+  * \sa class CwiseBinaryOp, operator+(), operator-(), cwiseProduct()
+  */
+template<typename CustomBinaryOp, typename OtherDerived>
+EIGEN_DEVICE_FUNC
+EIGEN_STRONG_INLINE const CwiseBinaryOp<CustomBinaryOp, const Derived, const OtherDerived>
+binaryExpr(const EIGEN_CURRENT_STORAGE_BASE_CLASS<OtherDerived> &other, const CustomBinaryOp& func = CustomBinaryOp()) const
+{
+  return CwiseBinaryOp<CustomBinaryOp, const Derived, const OtherDerived>(derived(), other.derived(), func);
+}
+
+
+#ifndef EIGEN_PARSED_BY_DOXYGEN
+EIGEN_MAKE_SCALAR_BINARY_OP(operator*,product)
+#else
+/** \returns an expression of \c *this scaled by the scalar factor \a scalar
+  *
+  * \tparam T is the scalar type of \a scalar. It must be compatible with the scalar type of the given expression.
+  */
+template<typename T>
+const CwiseBinaryOp<internal::scalar_product_op<Scalar,T>,Derived,Constant<T> > operator*(const T& scalar) const;
+/** \returns an expression of \a expr scaled by the scalar factor \a scalar
+  *
+  * \tparam T is the scalar type of \a scalar. It must be compatible with the scalar type of the given expression.
+  */
+template<typename T> friend
+const CwiseBinaryOp<internal::scalar_product_op<T,Scalar>,Constant<T>,Derived> operator*(const T& scalar, const StorageBaseType& expr);
+#endif
+
+
+
+#ifndef EIGEN_PARSED_BY_DOXYGEN
+EIGEN_MAKE_SCALAR_BINARY_OP_ONTHERIGHT(operator/,quotient)
+#else
+/** \returns an expression of \c *this divided by the scalar value \a scalar
+  *
+  * \tparam T is the scalar type of \a scalar. It must be compatible with the scalar type of the given expression.
+  */
+template<typename T>
+const CwiseBinaryOp<internal::scalar_quotient_op<Scalar,T>,Derived,Constant<T> > operator/(const T& scalar) const;
+#endif
+
+/** \returns an expression of the coefficient-wise boolean \b and operator of \c *this and \a other
+  *
+  * \warning this operator is for expression of bool only.
+  *
+  * Example: \include Cwise_boolean_and.cpp
+  * Output: \verbinclude Cwise_boolean_and.out
+  *
+  * \sa operator||(), select()
+  */
+template<typename OtherDerived>
+EIGEN_DEVICE_FUNC
+inline const CwiseBinaryOp<internal::scalar_boolean_and_op, const Derived, const OtherDerived>
+operator&&(const EIGEN_CURRENT_STORAGE_BASE_CLASS<OtherDerived> &other) const
+{
+  EIGEN_STATIC_ASSERT((internal::is_same<bool,Scalar>::value && internal::is_same<bool,typename OtherDerived::Scalar>::value),
+                      THIS_METHOD_IS_ONLY_FOR_EXPRESSIONS_OF_BOOL);
+  return CwiseBinaryOp<internal::scalar_boolean_and_op, const Derived, const OtherDerived>(derived(),other.derived());
+}
+
+/** \returns an expression of the coefficient-wise boolean \b or operator of \c *this and \a other
+  *
+  * \warning this operator is for expression of bool only.
+  *
+  * Example: \include Cwise_boolean_or.cpp
+  * Output: \verbinclude Cwise_boolean_or.out
+  *
+  * \sa operator&&(), select()
+  */
+template<typename OtherDerived>
+EIGEN_DEVICE_FUNC
+inline const CwiseBinaryOp<internal::scalar_boolean_or_op, const Derived, const OtherDerived>
+operator||(const EIGEN_CURRENT_STORAGE_BASE_CLASS<OtherDerived> &other) const
+{
+  EIGEN_STATIC_ASSERT((internal::is_same<bool,Scalar>::value && internal::is_same<bool,typename OtherDerived::Scalar>::value),
+                      THIS_METHOD_IS_ONLY_FOR_EXPRESSIONS_OF_BOOL);
+  return CwiseBinaryOp<internal::scalar_boolean_or_op, const Derived, const OtherDerived>(derived(),other.derived());
+}
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/plugins/BlockMethods.h
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/plugins/BlockMethods.h	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/plugins/BlockMethods.h	(revision 3761)
@@ -0,0 +1,1058 @@
+// This file is part of Eigen, a lightweight C++ template library
+// for linear algebra.
+//
+// Copyright (C) 2008-2010 Gael Guennebaud <gael.guennebaud@inria.fr>
+// Copyright (C) 2006-2010 Benoit Jacob <jacob.benoit.1@gmail.com>
+//
+// This Source Code Form is subject to the terms of the Mozilla
+// Public License v. 2.0. If a copy of the MPL was not distributed
+// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
+
+#ifndef EIGEN_PARSED_BY_DOXYGEN
+
+/// \internal expression type of a column */
+typedef Block<Derived, internal::traits<Derived>::RowsAtCompileTime, 1, !IsRowMajor> ColXpr;
+typedef const Block<const Derived, internal::traits<Derived>::RowsAtCompileTime, 1, !IsRowMajor> ConstColXpr;
+/// \internal expression type of a row */
+typedef Block<Derived, 1, internal::traits<Derived>::ColsAtCompileTime, IsRowMajor> RowXpr;
+typedef const Block<const Derived, 1, internal::traits<Derived>::ColsAtCompileTime, IsRowMajor> ConstRowXpr;
+/// \internal expression type of a block of whole columns */
+typedef Block<Derived, internal::traits<Derived>::RowsAtCompileTime, Dynamic, !IsRowMajor> ColsBlockXpr;
+typedef const Block<const Derived, internal::traits<Derived>::RowsAtCompileTime, Dynamic, !IsRowMajor> ConstColsBlockXpr;
+/// \internal expression type of a block of whole rows */
+typedef Block<Derived, Dynamic, internal::traits<Derived>::ColsAtCompileTime, IsRowMajor> RowsBlockXpr;
+typedef const Block<const Derived, Dynamic, internal::traits<Derived>::ColsAtCompileTime, IsRowMajor> ConstRowsBlockXpr;
+/// \internal expression type of a block of whole columns */
+template<int N> struct NColsBlockXpr { typedef Block<Derived, internal::traits<Derived>::RowsAtCompileTime, N, !IsRowMajor> Type; };
+template<int N> struct ConstNColsBlockXpr { typedef const Block<const Derived, internal::traits<Derived>::RowsAtCompileTime, N, !IsRowMajor> Type; };
+/// \internal expression type of a block of whole rows */
+template<int N> struct NRowsBlockXpr { typedef Block<Derived, N, internal::traits<Derived>::ColsAtCompileTime, IsRowMajor> Type; };
+template<int N> struct ConstNRowsBlockXpr { typedef const Block<const Derived, N, internal::traits<Derived>::ColsAtCompileTime, IsRowMajor> Type; };
+/// \internal expression of a block */
+typedef Block<Derived> BlockXpr;
+typedef const Block<const Derived> ConstBlockXpr;
+/// \internal expression of a block of fixed sizes */
+template<int Rows, int Cols> struct FixedBlockXpr { typedef Block<Derived,Rows,Cols> Type; };
+template<int Rows, int Cols> struct ConstFixedBlockXpr { typedef Block<const Derived,Rows,Cols> Type; };
+
+typedef VectorBlock<Derived> SegmentReturnType;
+typedef const VectorBlock<const Derived> ConstSegmentReturnType;
+template<int Size> struct FixedSegmentReturnType { typedef VectorBlock<Derived, Size> Type; };
+template<int Size> struct ConstFixedSegmentReturnType { typedef const VectorBlock<const Derived, Size> Type; };
+
+#endif // not EIGEN_PARSED_BY_DOXYGEN
+
+/// \returns a dynamic-size expression of a block in *this.
+///
+/// \param startRow the first row in the block
+/// \param startCol the first column in the block
+/// \param blockRows the number of rows in the block
+/// \param blockCols the number of columns in the block
+///
+/// Example: \include MatrixBase_block_int_int_int_int.cpp
+/// Output: \verbinclude MatrixBase_block_int_int_int_int.out
+///
+/// \note Even though the returned expression has dynamic size, in the case
+/// when it is applied to a fixed-size matrix, it inherits a fixed maximal size,
+/// which means that evaluating it does not cause a dynamic memory allocation.
+///
+EIGEN_DOC_BLOCK_ADDONS_NOT_INNER_PANEL
+///
+/// \sa class Block, block(Index,Index)
+///
+EIGEN_DEVICE_FUNC
+inline BlockXpr block(Index startRow, Index startCol, Index blockRows, Index blockCols)
+{
+  return BlockXpr(derived(), startRow, startCol, blockRows, blockCols);
+}
+
+/// This is the const version of block(Index,Index,Index,Index). */
+EIGEN_DEVICE_FUNC
+inline const ConstBlockXpr block(Index startRow, Index startCol, Index blockRows, Index blockCols) const
+{
+  return ConstBlockXpr(derived(), startRow, startCol, blockRows, blockCols);
+}
+
+
+
+
+/// \returns a dynamic-size expression of a top-right corner of *this.
+///
+/// \param cRows the number of rows in the corner
+/// \param cCols the number of columns in the corner
+///
+/// Example: \include MatrixBase_topRightCorner_int_int.cpp
+/// Output: \verbinclude MatrixBase_topRightCorner_int_int.out
+///
+EIGEN_DOC_BLOCK_ADDONS_NOT_INNER_PANEL
+///
+/// \sa class Block, block(Index,Index,Index,Index)
+///
+EIGEN_DEVICE_FUNC
+inline BlockXpr topRightCorner(Index cRows, Index cCols)
+{
+  return BlockXpr(derived(), 0, cols() - cCols, cRows, cCols);
+}
+
+/// This is the const version of topRightCorner(Index, Index).
+EIGEN_DEVICE_FUNC
+inline const ConstBlockXpr topRightCorner(Index cRows, Index cCols) const
+{
+  return ConstBlockXpr(derived(), 0, cols() - cCols, cRows, cCols);
+}
+
+/// \returns an expression of a fixed-size top-right corner of *this.
+///
+/// \tparam CRows the number of rows in the corner
+/// \tparam CCols the number of columns in the corner
+///
+/// Example: \include MatrixBase_template_int_int_topRightCorner.cpp
+/// Output: \verbinclude MatrixBase_template_int_int_topRightCorner.out
+///
+EIGEN_DOC_BLOCK_ADDONS_NOT_INNER_PANEL
+///
+/// \sa class Block, block<int,int>(Index,Index)
+///
+template<int CRows, int CCols>
+EIGEN_DEVICE_FUNC
+inline typename FixedBlockXpr<CRows,CCols>::Type topRightCorner()
+{
+  return typename FixedBlockXpr<CRows,CCols>::Type(derived(), 0, cols() - CCols);
+}
+
+/// This is the const version of topRightCorner<int, int>().
+template<int CRows, int CCols>
+EIGEN_DEVICE_FUNC
+inline const typename ConstFixedBlockXpr<CRows,CCols>::Type topRightCorner() const
+{
+  return typename ConstFixedBlockXpr<CRows,CCols>::Type(derived(), 0, cols() - CCols);
+}
+
+/// \returns an expression of a top-right corner of *this.
+///
+/// \tparam CRows number of rows in corner as specified at compile-time
+/// \tparam CCols number of columns in corner as specified at compile-time
+/// \param  cRows number of rows in corner as specified at run-time
+/// \param  cCols number of columns in corner as specified at run-time
+///
+/// This function is mainly useful for corners where the number of rows is specified at compile-time
+/// and the number of columns is specified at run-time, or vice versa. The compile-time and run-time
+/// information should not contradict. In other words, \a cRows should equal \a CRows unless
+/// \a CRows is \a Dynamic, and the same for the number of columns.
+///
+/// Example: \include MatrixBase_template_int_int_topRightCorner_int_int.cpp
+/// Output: \verbinclude MatrixBase_template_int_int_topRightCorner_int_int.out
+///
+EIGEN_DOC_BLOCK_ADDONS_NOT_INNER_PANEL
+///
+/// \sa class Block
+///
+template<int CRows, int CCols>
+inline typename FixedBlockXpr<CRows,CCols>::Type topRightCorner(Index cRows, Index cCols)
+{
+  return typename FixedBlockXpr<CRows,CCols>::Type(derived(), 0, cols() - cCols, cRows, cCols);
+}
+
+/// This is the const version of topRightCorner<int, int>(Index, Index).
+template<int CRows, int CCols>
+inline const typename ConstFixedBlockXpr<CRows,CCols>::Type topRightCorner(Index cRows, Index cCols) const
+{
+  return typename ConstFixedBlockXpr<CRows,CCols>::Type(derived(), 0, cols() - cCols, cRows, cCols);
+}
+
+
+
+/// \returns a dynamic-size expression of a top-left corner of *this.
+///
+/// \param cRows the number of rows in the corner
+/// \param cCols the number of columns in the corner
+///
+/// Example: \include MatrixBase_topLeftCorner_int_int.cpp
+/// Output: \verbinclude MatrixBase_topLeftCorner_int_int.out
+///
+EIGEN_DOC_BLOCK_ADDONS_NOT_INNER_PANEL
+///
+/// \sa class Block, block(Index,Index,Index,Index)
+///
+EIGEN_DEVICE_FUNC
+inline BlockXpr topLeftCorner(Index cRows, Index cCols)
+{
+  return BlockXpr(derived(), 0, 0, cRows, cCols);
+}
+
+/// This is the const version of topLeftCorner(Index, Index).
+EIGEN_DEVICE_FUNC
+inline const ConstBlockXpr topLeftCorner(Index cRows, Index cCols) const
+{
+  return ConstBlockXpr(derived(), 0, 0, cRows, cCols);
+}
+
+/// \returns an expression of a fixed-size top-left corner of *this.
+///
+/// The template parameters CRows and CCols are the number of rows and columns in the corner.
+///
+/// Example: \include MatrixBase_template_int_int_topLeftCorner.cpp
+/// Output: \verbinclude MatrixBase_template_int_int_topLeftCorner.out
+///
+EIGEN_DOC_BLOCK_ADDONS_NOT_INNER_PANEL
+///
+/// \sa class Block, block(Index,Index,Index,Index)
+///
+template<int CRows, int CCols>
+EIGEN_DEVICE_FUNC
+inline typename FixedBlockXpr<CRows,CCols>::Type topLeftCorner()
+{
+  return typename FixedBlockXpr<CRows,CCols>::Type(derived(), 0, 0);
+}
+
+/// This is the const version of topLeftCorner<int, int>().
+template<int CRows, int CCols>
+EIGEN_DEVICE_FUNC
+inline const typename ConstFixedBlockXpr<CRows,CCols>::Type topLeftCorner() const
+{
+  return typename ConstFixedBlockXpr<CRows,CCols>::Type(derived(), 0, 0);
+}
+
+/// \returns an expression of a top-left corner of *this.
+///
+/// \tparam CRows number of rows in corner as specified at compile-time
+/// \tparam CCols number of columns in corner as specified at compile-time
+/// \param  cRows number of rows in corner as specified at run-time
+/// \param  cCols number of columns in corner as specified at run-time
+///
+/// This function is mainly useful for corners where the number of rows is specified at compile-time
+/// and the number of columns is specified at run-time, or vice versa. The compile-time and run-time
+/// information should not contradict. In other words, \a cRows should equal \a CRows unless
+/// \a CRows is \a Dynamic, and the same for the number of columns.
+///
+/// Example: \include MatrixBase_template_int_int_topLeftCorner_int_int.cpp
+/// Output: \verbinclude MatrixBase_template_int_int_topLeftCorner_int_int.out
+///
+EIGEN_DOC_BLOCK_ADDONS_NOT_INNER_PANEL
+///
+/// \sa class Block
+///
+template<int CRows, int CCols>
+inline typename FixedBlockXpr<CRows,CCols>::Type topLeftCorner(Index cRows, Index cCols)
+{
+  return typename FixedBlockXpr<CRows,CCols>::Type(derived(), 0, 0, cRows, cCols);
+}
+
+/// This is the const version of topLeftCorner<int, int>(Index, Index).
+template<int CRows, int CCols>
+inline const typename ConstFixedBlockXpr<CRows,CCols>::Type topLeftCorner(Index cRows, Index cCols) const
+{
+  return typename ConstFixedBlockXpr<CRows,CCols>::Type(derived(), 0, 0, cRows, cCols);
+}
+
+
+
+/// \returns a dynamic-size expression of a bottom-right corner of *this.
+///
+/// \param cRows the number of rows in the corner
+/// \param cCols the number of columns in the corner
+///
+/// Example: \include MatrixBase_bottomRightCorner_int_int.cpp
+/// Output: \verbinclude MatrixBase_bottomRightCorner_int_int.out
+///
+EIGEN_DOC_BLOCK_ADDONS_NOT_INNER_PANEL
+///
+/// \sa class Block, block(Index,Index,Index,Index)
+///
+EIGEN_DEVICE_FUNC
+inline BlockXpr bottomRightCorner(Index cRows, Index cCols)
+{
+  return BlockXpr(derived(), rows() - cRows, cols() - cCols, cRows, cCols);
+}
+
+/// This is the const version of bottomRightCorner(Index, Index).
+EIGEN_DEVICE_FUNC
+inline const ConstBlockXpr bottomRightCorner(Index cRows, Index cCols) const
+{
+  return ConstBlockXpr(derived(), rows() - cRows, cols() - cCols, cRows, cCols);
+}
+
+/// \returns an expression of a fixed-size bottom-right corner of *this.
+///
+/// The template parameters CRows and CCols are the number of rows and columns in the corner.
+///
+/// Example: \include MatrixBase_template_int_int_bottomRightCorner.cpp
+/// Output: \verbinclude MatrixBase_template_int_int_bottomRightCorner.out
+///
+EIGEN_DOC_BLOCK_ADDONS_NOT_INNER_PANEL
+///
+/// \sa class Block, block(Index,Index,Index,Index)
+///
+template<int CRows, int CCols>
+EIGEN_DEVICE_FUNC
+inline typename FixedBlockXpr<CRows,CCols>::Type bottomRightCorner()
+{
+  return typename FixedBlockXpr<CRows,CCols>::Type(derived(), rows() - CRows, cols() - CCols);
+}
+
+/// This is the const version of bottomRightCorner<int, int>().
+template<int CRows, int CCols>
+EIGEN_DEVICE_FUNC
+inline const typename ConstFixedBlockXpr<CRows,CCols>::Type bottomRightCorner() const
+{
+  return typename ConstFixedBlockXpr<CRows,CCols>::Type(derived(), rows() - CRows, cols() - CCols);
+}
+
+/// \returns an expression of a bottom-right corner of *this.
+///
+/// \tparam CRows number of rows in corner as specified at compile-time
+/// \tparam CCols number of columns in corner as specified at compile-time
+/// \param  cRows number of rows in corner as specified at run-time
+/// \param  cCols number of columns in corner as specified at run-time
+///
+/// This function is mainly useful for corners where the number of rows is specified at compile-time
+/// and the number of columns is specified at run-time, or vice versa. The compile-time and run-time
+/// information should not contradict. In other words, \a cRows should equal \a CRows unless
+/// \a CRows is \a Dynamic, and the same for the number of columns.
+///
+/// Example: \include MatrixBase_template_int_int_bottomRightCorner_int_int.cpp
+/// Output: \verbinclude MatrixBase_template_int_int_bottomRightCorner_int_int.out
+///
+EIGEN_DOC_BLOCK_ADDONS_NOT_INNER_PANEL
+///
+/// \sa class Block
+///
+template<int CRows, int CCols>
+inline typename FixedBlockXpr<CRows,CCols>::Type bottomRightCorner(Index cRows, Index cCols)
+{
+  return typename FixedBlockXpr<CRows,CCols>::Type(derived(), rows() - cRows, cols() - cCols, cRows, cCols);
+}
+
+/// This is the const version of bottomRightCorner<int, int>(Index, Index).
+template<int CRows, int CCols>
+inline const typename ConstFixedBlockXpr<CRows,CCols>::Type bottomRightCorner(Index cRows, Index cCols) const
+{
+  return typename ConstFixedBlockXpr<CRows,CCols>::Type(derived(), rows() - cRows, cols() - cCols, cRows, cCols);
+}
+
+
+
+/// \returns a dynamic-size expression of a bottom-left corner of *this.
+///
+/// \param cRows the number of rows in the corner
+/// \param cCols the number of columns in the corner
+///
+/// Example: \include MatrixBase_bottomLeftCorner_int_int.cpp
+/// Output: \verbinclude MatrixBase_bottomLeftCorner_int_int.out
+///
+EIGEN_DOC_BLOCK_ADDONS_NOT_INNER_PANEL
+///
+/// \sa class Block, block(Index,Index,Index,Index)
+///
+EIGEN_DEVICE_FUNC
+inline BlockXpr bottomLeftCorner(Index cRows, Index cCols)
+{
+  return BlockXpr(derived(), rows() - cRows, 0, cRows, cCols);
+}
+
+/// This is the const version of bottomLeftCorner(Index, Index).
+EIGEN_DEVICE_FUNC
+inline const ConstBlockXpr bottomLeftCorner(Index cRows, Index cCols) const
+{
+  return ConstBlockXpr(derived(), rows() - cRows, 0, cRows, cCols);
+}
+
+/// \returns an expression of a fixed-size bottom-left corner of *this.
+///
+/// The template parameters CRows and CCols are the number of rows and columns in the corner.
+///
+/// Example: \include MatrixBase_template_int_int_bottomLeftCorner.cpp
+/// Output: \verbinclude MatrixBase_template_int_int_bottomLeftCorner.out
+///
+EIGEN_DOC_BLOCK_ADDONS_NOT_INNER_PANEL
+///
+/// \sa class Block, block(Index,Index,Index,Index)
+///
+template<int CRows, int CCols>
+EIGEN_DEVICE_FUNC
+inline typename FixedBlockXpr<CRows,CCols>::Type bottomLeftCorner()
+{
+  return typename FixedBlockXpr<CRows,CCols>::Type(derived(), rows() - CRows, 0);
+}
+
+/// This is the const version of bottomLeftCorner<int, int>().
+template<int CRows, int CCols>
+EIGEN_DEVICE_FUNC
+inline const typename ConstFixedBlockXpr<CRows,CCols>::Type bottomLeftCorner() const
+{
+  return typename ConstFixedBlockXpr<CRows,CCols>::Type(derived(), rows() - CRows, 0);
+}
+
+/// \returns an expression of a bottom-left corner of *this.
+///
+/// \tparam CRows number of rows in corner as specified at compile-time
+/// \tparam CCols number of columns in corner as specified at compile-time
+/// \param  cRows number of rows in corner as specified at run-time
+/// \param  cCols number of columns in corner as specified at run-time
+///
+/// This function is mainly useful for corners where the number of rows is specified at compile-time
+/// and the number of columns is specified at run-time, or vice versa. The compile-time and run-time
+/// information should not contradict. In other words, \a cRows should equal \a CRows unless
+/// \a CRows is \a Dynamic, and the same for the number of columns.
+///
+/// Example: \include MatrixBase_template_int_int_bottomLeftCorner_int_int.cpp
+/// Output: \verbinclude MatrixBase_template_int_int_bottomLeftCorner_int_int.out
+///
+EIGEN_DOC_BLOCK_ADDONS_NOT_INNER_PANEL
+///
+/// \sa class Block
+///
+template<int CRows, int CCols>
+inline typename FixedBlockXpr<CRows,CCols>::Type bottomLeftCorner(Index cRows, Index cCols)
+{
+  return typename FixedBlockXpr<CRows,CCols>::Type(derived(), rows() - cRows, 0, cRows, cCols);
+}
+
+/// This is the const version of bottomLeftCorner<int, int>(Index, Index).
+template<int CRows, int CCols>
+inline const typename ConstFixedBlockXpr<CRows,CCols>::Type bottomLeftCorner(Index cRows, Index cCols) const
+{
+  return typename ConstFixedBlockXpr<CRows,CCols>::Type(derived(), rows() - cRows, 0, cRows, cCols);
+}
+
+
+
+/// \returns a block consisting of the top rows of *this.
+///
+/// \param n the number of rows in the block
+///
+/// Example: \include MatrixBase_topRows_int.cpp
+/// Output: \verbinclude MatrixBase_topRows_int.out
+///
+EIGEN_DOC_BLOCK_ADDONS_INNER_PANEL_IF(row-major)
+///
+/// \sa class Block, block(Index,Index,Index,Index)
+///
+EIGEN_DEVICE_FUNC
+inline RowsBlockXpr topRows(Index n)
+{
+  return RowsBlockXpr(derived(), 0, 0, n, cols());
+}
+
+/// This is the const version of topRows(Index).
+EIGEN_DEVICE_FUNC
+inline ConstRowsBlockXpr topRows(Index n) const
+{
+  return ConstRowsBlockXpr(derived(), 0, 0, n, cols());
+}
+
+/// \returns a block consisting of the top rows of *this.
+///
+/// \tparam N the number of rows in the block as specified at compile-time
+/// \param n the number of rows in the block as specified at run-time
+///
+/// The compile-time and run-time information should not contradict. In other words,
+/// \a n should equal \a N unless \a N is \a Dynamic.
+///
+/// Example: \include MatrixBase_template_int_topRows.cpp
+/// Output: \verbinclude MatrixBase_template_int_topRows.out
+///
+EIGEN_DOC_BLOCK_ADDONS_INNER_PANEL_IF(row-major)
+///
+/// \sa class Block, block(Index,Index,Index,Index)
+///
+template<int N>
+EIGEN_DEVICE_FUNC
+inline typename NRowsBlockXpr<N>::Type topRows(Index n = N)
+{
+  return typename NRowsBlockXpr<N>::Type(derived(), 0, 0, n, cols());
+}
+
+/// This is the const version of topRows<int>().
+template<int N>
+EIGEN_DEVICE_FUNC
+inline typename ConstNRowsBlockXpr<N>::Type topRows(Index n = N) const
+{
+  return typename ConstNRowsBlockXpr<N>::Type(derived(), 0, 0, n, cols());
+}
+
+
+
+/// \returns a block consisting of the bottom rows of *this.
+///
+/// \param n the number of rows in the block
+///
+/// Example: \include MatrixBase_bottomRows_int.cpp
+/// Output: \verbinclude MatrixBase_bottomRows_int.out
+///
+EIGEN_DOC_BLOCK_ADDONS_INNER_PANEL_IF(row-major)
+///
+/// \sa class Block, block(Index,Index,Index,Index)
+///
+EIGEN_DEVICE_FUNC
+inline RowsBlockXpr bottomRows(Index n)
+{
+  return RowsBlockXpr(derived(), rows() - n, 0, n, cols());
+}
+
+/// This is the const version of bottomRows(Index).
+EIGEN_DEVICE_FUNC
+inline ConstRowsBlockXpr bottomRows(Index n) const
+{
+  return ConstRowsBlockXpr(derived(), rows() - n, 0, n, cols());
+}
+
+/// \returns a block consisting of the bottom rows of *this.
+///
+/// \tparam N the number of rows in the block as specified at compile-time
+/// \param n the number of rows in the block as specified at run-time
+///
+/// The compile-time and run-time information should not contradict. In other words,
+/// \a n should equal \a N unless \a N is \a Dynamic.
+///
+/// Example: \include MatrixBase_template_int_bottomRows.cpp
+/// Output: \verbinclude MatrixBase_template_int_bottomRows.out
+///
+EIGEN_DOC_BLOCK_ADDONS_INNER_PANEL_IF(row-major)
+///
+/// \sa class Block, block(Index,Index,Index,Index)
+///
+template<int N>
+EIGEN_DEVICE_FUNC
+inline typename NRowsBlockXpr<N>::Type bottomRows(Index n = N)
+{
+  return typename NRowsBlockXpr<N>::Type(derived(), rows() - n, 0, n, cols());
+}
+
+/// This is the const version of bottomRows<int>().
+template<int N>
+EIGEN_DEVICE_FUNC
+inline typename ConstNRowsBlockXpr<N>::Type bottomRows(Index n = N) const
+{
+  return typename ConstNRowsBlockXpr<N>::Type(derived(), rows() - n, 0, n, cols());
+}
+
+
+
+/// \returns a block consisting of a range of rows of *this.
+///
+/// \param startRow the index of the first row in the block
+/// \param n the number of rows in the block
+///
+/// Example: \include DenseBase_middleRows_int.cpp
+/// Output: \verbinclude DenseBase_middleRows_int.out
+///
+EIGEN_DOC_BLOCK_ADDONS_INNER_PANEL_IF(row-major)
+///
+/// \sa class Block, block(Index,Index,Index,Index)
+///
+EIGEN_DEVICE_FUNC
+inline RowsBlockXpr middleRows(Index startRow, Index n)
+{
+  return RowsBlockXpr(derived(), startRow, 0, n, cols());
+}
+
+/// This is the const version of middleRows(Index,Index).
+EIGEN_DEVICE_FUNC
+inline ConstRowsBlockXpr middleRows(Index startRow, Index n) const
+{
+  return ConstRowsBlockXpr(derived(), startRow, 0, n, cols());
+}
+
+/// \returns a block consisting of a range of rows of *this.
+///
+/// \tparam N the number of rows in the block as specified at compile-time
+/// \param startRow the index of the first row in the block
+/// \param n the number of rows in the block as specified at run-time
+///
+/// The compile-time and run-time information should not contradict. In other words,
+/// \a n should equal \a N unless \a N is \a Dynamic.
+///
+/// Example: \include DenseBase_template_int_middleRows.cpp
+/// Output: \verbinclude DenseBase_template_int_middleRows.out
+///
+EIGEN_DOC_BLOCK_ADDONS_INNER_PANEL_IF(row-major)
+///
+/// \sa class Block, block(Index,Index,Index,Index)
+///
+template<int N>
+EIGEN_DEVICE_FUNC
+inline typename NRowsBlockXpr<N>::Type middleRows(Index startRow, Index n = N)
+{
+  return typename NRowsBlockXpr<N>::Type(derived(), startRow, 0, n, cols());
+}
+
+/// This is the const version of middleRows<int>().
+template<int N>
+EIGEN_DEVICE_FUNC
+inline typename ConstNRowsBlockXpr<N>::Type middleRows(Index startRow, Index n = N) const
+{
+  return typename ConstNRowsBlockXpr<N>::Type(derived(), startRow, 0, n, cols());
+}
+
+
+
+/// \returns a block consisting of the left columns of *this.
+///
+/// \param n the number of columns in the block
+///
+/// Example: \include MatrixBase_leftCols_int.cpp
+/// Output: \verbinclude MatrixBase_leftCols_int.out
+///
+EIGEN_DOC_BLOCK_ADDONS_INNER_PANEL_IF(column-major)
+///
+/// \sa class Block, block(Index,Index,Index,Index)
+///
+EIGEN_DEVICE_FUNC
+inline ColsBlockXpr leftCols(Index n)
+{
+  return ColsBlockXpr(derived(), 0, 0, rows(), n);
+}
+
+/// This is the const version of leftCols(Index).
+EIGEN_DEVICE_FUNC
+inline ConstColsBlockXpr leftCols(Index n) const
+{
+  return ConstColsBlockXpr(derived(), 0, 0, rows(), n);
+}
+
+/// \returns a block consisting of the left columns of *this.
+///
+/// \tparam N the number of columns in the block as specified at compile-time
+/// \param n the number of columns in the block as specified at run-time
+///
+/// The compile-time and run-time information should not contradict. In other words,
+/// \a n should equal \a N unless \a N is \a Dynamic.
+///
+/// Example: \include MatrixBase_template_int_leftCols.cpp
+/// Output: \verbinclude MatrixBase_template_int_leftCols.out
+///
+EIGEN_DOC_BLOCK_ADDONS_INNER_PANEL_IF(column-major)
+///
+/// \sa class Block, block(Index,Index,Index,Index)
+///
+template<int N>
+EIGEN_DEVICE_FUNC
+inline typename NColsBlockXpr<N>::Type leftCols(Index n = N)
+{
+  return typename NColsBlockXpr<N>::Type(derived(), 0, 0, rows(), n);
+}
+
+/// This is the const version of leftCols<int>().
+template<int N>
+EIGEN_DEVICE_FUNC
+inline typename ConstNColsBlockXpr<N>::Type leftCols(Index n = N) const
+{
+  return typename ConstNColsBlockXpr<N>::Type(derived(), 0, 0, rows(), n);
+}
+
+
+
+/// \returns a block consisting of the right columns of *this.
+///
+/// \param n the number of columns in the block
+///
+/// Example: \include MatrixBase_rightCols_int.cpp
+/// Output: \verbinclude MatrixBase_rightCols_int.out
+///
+EIGEN_DOC_BLOCK_ADDONS_INNER_PANEL_IF(column-major)
+///
+/// \sa class Block, block(Index,Index,Index,Index)
+///
+EIGEN_DEVICE_FUNC
+inline ColsBlockXpr rightCols(Index n)
+{
+  return ColsBlockXpr(derived(), 0, cols() - n, rows(), n);
+}
+
+/// This is the const version of rightCols(Index).
+EIGEN_DEVICE_FUNC
+inline ConstColsBlockXpr rightCols(Index n) const
+{
+  return ConstColsBlockXpr(derived(), 0, cols() - n, rows(), n);
+}
+
+/// \returns a block consisting of the right columns of *this.
+///
+/// \tparam N the number of columns in the block as specified at compile-time
+/// \param n the number of columns in the block as specified at run-time
+///
+/// The compile-time and run-time information should not contradict. In other words,
+/// \a n should equal \a N unless \a N is \a Dynamic.
+///
+/// Example: \include MatrixBase_template_int_rightCols.cpp
+/// Output: \verbinclude MatrixBase_template_int_rightCols.out
+///
+EIGEN_DOC_BLOCK_ADDONS_INNER_PANEL_IF(column-major)
+///
+/// \sa class Block, block(Index,Index,Index,Index)
+///
+template<int N>
+EIGEN_DEVICE_FUNC
+inline typename NColsBlockXpr<N>::Type rightCols(Index n = N)
+{
+  return typename NColsBlockXpr<N>::Type(derived(), 0, cols() - n, rows(), n);
+}
+
+/// This is the const version of rightCols<int>().
+template<int N>
+EIGEN_DEVICE_FUNC
+inline typename ConstNColsBlockXpr<N>::Type rightCols(Index n = N) const
+{
+  return typename ConstNColsBlockXpr<N>::Type(derived(), 0, cols() - n, rows(), n);
+}
+
+
+
+/// \returns a block consisting of a range of columns of *this.
+///
+/// \param startCol the index of the first column in the block
+/// \param numCols the number of columns in the block
+///
+/// Example: \include DenseBase_middleCols_int.cpp
+/// Output: \verbinclude DenseBase_middleCols_int.out
+///
+EIGEN_DOC_BLOCK_ADDONS_INNER_PANEL_IF(column-major)
+///
+/// \sa class Block, block(Index,Index,Index,Index)
+///
+EIGEN_DEVICE_FUNC
+inline ColsBlockXpr middleCols(Index startCol, Index numCols)
+{
+  return ColsBlockXpr(derived(), 0, startCol, rows(), numCols);
+}
+
+/// This is the const version of middleCols(Index,Index).
+EIGEN_DEVICE_FUNC
+inline ConstColsBlockXpr middleCols(Index startCol, Index numCols) const
+{
+  return ConstColsBlockXpr(derived(), 0, startCol, rows(), numCols);
+}
+
+/// \returns a block consisting of a range of columns of *this.
+///
+/// \tparam N the number of columns in the block as specified at compile-time
+/// \param startCol the index of the first column in the block
+/// \param n the number of columns in the block as specified at run-time
+///
+/// The compile-time and run-time information should not contradict. In other words,
+/// \a n should equal \a N unless \a N is \a Dynamic.
+///
+/// Example: \include DenseBase_template_int_middleCols.cpp
+/// Output: \verbinclude DenseBase_template_int_middleCols.out
+///
+EIGEN_DOC_BLOCK_ADDONS_INNER_PANEL_IF(column-major)
+///
+/// \sa class Block, block(Index,Index,Index,Index)
+///
+template<int N>
+EIGEN_DEVICE_FUNC
+inline typename NColsBlockXpr<N>::Type middleCols(Index startCol, Index n = N)
+{
+  return typename NColsBlockXpr<N>::Type(derived(), 0, startCol, rows(), n);
+}
+
+/// This is the const version of middleCols<int>().
+template<int N>
+EIGEN_DEVICE_FUNC
+inline typename ConstNColsBlockXpr<N>::Type middleCols(Index startCol, Index n = N) const
+{
+  return typename ConstNColsBlockXpr<N>::Type(derived(), 0, startCol, rows(), n);
+}
+
+
+
+/// \returns a fixed-size expression of a block in *this.
+///
+/// The template parameters \a NRows and \a NCols are the number of
+/// rows and columns in the block.
+///
+/// \param startRow the first row in the block
+/// \param startCol the first column in the block
+///
+/// Example: \include MatrixBase_block_int_int.cpp
+/// Output: \verbinclude MatrixBase_block_int_int.out
+///
+/// \note since block is a templated member, the keyword template has to be used
+/// if the matrix type is also a template parameter: \code m.template block<3,3>(1,1); \endcode
+///
+EIGEN_DOC_BLOCK_ADDONS_NOT_INNER_PANEL
+///
+/// \sa class Block, block(Index,Index,Index,Index)
+///
+template<int NRows, int NCols>
+EIGEN_DEVICE_FUNC
+inline typename FixedBlockXpr<NRows,NCols>::Type block(Index startRow, Index startCol)
+{
+  return typename FixedBlockXpr<NRows,NCols>::Type(derived(), startRow, startCol);
+}
+
+/// This is the const version of block<>(Index, Index). */
+template<int NRows, int NCols>
+EIGEN_DEVICE_FUNC
+inline const typename ConstFixedBlockXpr<NRows,NCols>::Type block(Index startRow, Index startCol) const
+{
+  return typename ConstFixedBlockXpr<NRows,NCols>::Type(derived(), startRow, startCol);
+}
+
+/// \returns an expression of a block in *this.
+///
+/// \tparam NRows number of rows in block as specified at compile-time
+/// \tparam NCols number of columns in block as specified at compile-time
+/// \param  startRow  the first row in the block
+/// \param  startCol  the first column in the block
+/// \param  blockRows number of rows in block as specified at run-time
+/// \param  blockCols number of columns in block as specified at run-time
+///
+/// This function is mainly useful for blocks where the number of rows is specified at compile-time
+/// and the number of columns is specified at run-time, or vice versa. The compile-time and run-time
+/// information should not contradict. In other words, \a blockRows should equal \a NRows unless
+/// \a NRows is \a Dynamic, and the same for the number of columns.
+///
+/// Example: \include MatrixBase_template_int_int_block_int_int_int_int.cpp
+/// Output: \verbinclude MatrixBase_template_int_int_block_int_int_int_int.cpp
+///
+EIGEN_DOC_BLOCK_ADDONS_NOT_INNER_PANEL
+///
+/// \sa class Block, block(Index,Index,Index,Index)
+///
+template<int NRows, int NCols>
+inline typename FixedBlockXpr<NRows,NCols>::Type block(Index startRow, Index startCol,
+                                                  Index blockRows, Index blockCols)
+{
+  return typename FixedBlockXpr<NRows,NCols>::Type(derived(), startRow, startCol, blockRows, blockCols);
+}
+
+/// This is the const version of block<>(Index, Index, Index, Index).
+template<int NRows, int NCols>
+inline const typename ConstFixedBlockXpr<NRows,NCols>::Type block(Index startRow, Index startCol,
+                                                              Index blockRows, Index blockCols) const
+{
+  return typename ConstFixedBlockXpr<NRows,NCols>::Type(derived(), startRow, startCol, blockRows, blockCols);
+}
+
+/// \returns an expression of the \a i-th column of *this. Note that the numbering starts at 0.
+///
+/// Example: \include MatrixBase_col.cpp
+/// Output: \verbinclude MatrixBase_col.out
+///
+EIGEN_DOC_BLOCK_ADDONS_INNER_PANEL_IF(column-major)
+/**
+  * \sa row(), class Block */
+EIGEN_DEVICE_FUNC
+inline ColXpr col(Index i)
+{
+  return ColXpr(derived(), i);
+}
+
+/// This is the const version of col().
+EIGEN_DEVICE_FUNC
+inline ConstColXpr col(Index i) const
+{
+  return ConstColXpr(derived(), i);
+}
+
+/// \returns an expression of the \a i-th row of *this. Note that the numbering starts at 0.
+///
+/// Example: \include MatrixBase_row.cpp
+/// Output: \verbinclude MatrixBase_row.out
+///
+EIGEN_DOC_BLOCK_ADDONS_INNER_PANEL_IF(row-major)
+/**
+  * \sa col(), class Block */
+EIGEN_DEVICE_FUNC
+inline RowXpr row(Index i)
+{
+  return RowXpr(derived(), i);
+}
+
+/// This is the const version of row(). */
+EIGEN_DEVICE_FUNC
+inline ConstRowXpr row(Index i) const
+{
+  return ConstRowXpr(derived(), i);
+}
+
+/// \returns a dynamic-size expression of a segment (i.e. a vector block) in *this.
+///
+/// \only_for_vectors
+///
+/// \param start the first coefficient in the segment
+/// \param n the number of coefficients in the segment
+///
+/// Example: \include MatrixBase_segment_int_int.cpp
+/// Output: \verbinclude MatrixBase_segment_int_int.out
+///
+/// \note Even though the returned expression has dynamic size, in the case
+/// when it is applied to a fixed-size vector, it inherits a fixed maximal size,
+/// which means that evaluating it does not cause a dynamic memory allocation.
+///
+/// \sa class Block, segment(Index)
+///
+EIGEN_DEVICE_FUNC
+inline SegmentReturnType segment(Index start, Index n)
+{
+  EIGEN_STATIC_ASSERT_VECTOR_ONLY(Derived)
+  return SegmentReturnType(derived(), start, n);
+}
+
+
+/// This is the const version of segment(Index,Index).
+EIGEN_DEVICE_FUNC
+inline ConstSegmentReturnType segment(Index start, Index n) const
+{
+  EIGEN_STATIC_ASSERT_VECTOR_ONLY(Derived)
+  return ConstSegmentReturnType(derived(), start, n);
+}
+
+/// \returns a dynamic-size expression of the first coefficients of *this.
+///
+/// \only_for_vectors
+///
+/// \param n the number of coefficients in the segment
+///
+/// Example: \include MatrixBase_start_int.cpp
+/// Output: \verbinclude MatrixBase_start_int.out
+///
+/// \note Even though the returned expression has dynamic size, in the case
+/// when it is applied to a fixed-size vector, it inherits a fixed maximal size,
+/// which means that evaluating it does not cause a dynamic memory allocation.
+///
+/// \sa class Block, block(Index,Index)
+///
+EIGEN_DEVICE_FUNC
+inline SegmentReturnType head(Index n)
+{
+  EIGEN_STATIC_ASSERT_VECTOR_ONLY(Derived)
+  return SegmentReturnType(derived(), 0, n);
+}
+
+/// This is the const version of head(Index).
+EIGEN_DEVICE_FUNC
+inline ConstSegmentReturnType head(Index n) const
+{
+  EIGEN_STATIC_ASSERT_VECTOR_ONLY(Derived)
+  return ConstSegmentReturnType(derived(), 0, n);
+}
+
+/// \returns a dynamic-size expression of the last coefficients of *this.
+///
+/// \only_for_vectors
+///
+/// \param n the number of coefficients in the segment
+///
+/// Example: \include MatrixBase_end_int.cpp
+/// Output: \verbinclude MatrixBase_end_int.out
+///
+/// \note Even though the returned expression has dynamic size, in the case
+/// when it is applied to a fixed-size vector, it inherits a fixed maximal size,
+/// which means that evaluating it does not cause a dynamic memory allocation.
+///
+/// \sa class Block, block(Index,Index)
+///
+EIGEN_DEVICE_FUNC
+inline SegmentReturnType tail(Index n)
+{
+  EIGEN_STATIC_ASSERT_VECTOR_ONLY(Derived)
+  return SegmentReturnType(derived(), this->size() - n, n);
+}
+
+/// This is the const version of tail(Index).
+EIGEN_DEVICE_FUNC
+inline ConstSegmentReturnType tail(Index n) const
+{
+  EIGEN_STATIC_ASSERT_VECTOR_ONLY(Derived)
+  return ConstSegmentReturnType(derived(), this->size() - n, n);
+}
+
+/// \returns a fixed-size expression of a segment (i.e. a vector block) in \c *this
+///
+/// \only_for_vectors
+///
+/// \tparam N the number of coefficients in the segment as specified at compile-time
+/// \param start the index of the first element in the segment
+/// \param n the number of coefficients in the segment as specified at compile-time
+///
+/// The compile-time and run-time information should not contradict. In other words,
+/// \a n should equal \a N unless \a N is \a Dynamic.
+///
+/// Example: \include MatrixBase_template_int_segment.cpp
+/// Output: \verbinclude MatrixBase_template_int_segment.out
+///
+/// \sa class Block
+///
+template<int N>
+EIGEN_DEVICE_FUNC
+inline typename FixedSegmentReturnType<N>::Type segment(Index start, Index n = N)
+{
+  EIGEN_STATIC_ASSERT_VECTOR_ONLY(Derived)
+  return typename FixedSegmentReturnType<N>::Type(derived(), start, n);
+}
+
+/// This is the const version of segment<int>(Index).
+template<int N>
+EIGEN_DEVICE_FUNC
+inline typename ConstFixedSegmentReturnType<N>::Type segment(Index start, Index n = N) const
+{
+  EIGEN_STATIC_ASSERT_VECTOR_ONLY(Derived)
+  return typename ConstFixedSegmentReturnType<N>::Type(derived(), start, n);
+}
+
+/// \returns a fixed-size expression of the first coefficients of *this.
+///
+/// \only_for_vectors
+///
+/// \tparam N the number of coefficients in the segment as specified at compile-time
+/// \param  n the number of coefficients in the segment as specified at run-time
+///
+/// The compile-time and run-time information should not contradict. In other words,
+/// \a n should equal \a N unless \a N is \a Dynamic.
+///
+/// Example: \include MatrixBase_template_int_start.cpp
+/// Output: \verbinclude MatrixBase_template_int_start.out
+///
+/// \sa class Block
+///
+template<int N>
+EIGEN_DEVICE_FUNC
+inline typename FixedSegmentReturnType<N>::Type head(Index n = N)
+{
+  EIGEN_STATIC_ASSERT_VECTOR_ONLY(Derived)
+  return typename FixedSegmentReturnType<N>::Type(derived(), 0, n);
+}
+
+/// This is the const version of head<int>().
+template<int N>
+EIGEN_DEVICE_FUNC
+inline typename ConstFixedSegmentReturnType<N>::Type head(Index n = N) const
+{
+  EIGEN_STATIC_ASSERT_VECTOR_ONLY(Derived)
+  return typename ConstFixedSegmentReturnType<N>::Type(derived(), 0, n);
+}
+
+/// \returns a fixed-size expression of the last coefficients of *this.
+///
+/// \only_for_vectors
+///
+/// \tparam N the number of coefficients in the segment as specified at compile-time
+/// \param  n the number of coefficients in the segment as specified at run-time
+///
+/// The compile-time and run-time information should not contradict. In other words,
+/// \a n should equal \a N unless \a N is \a Dynamic.
+///
+/// Example: \include MatrixBase_template_int_end.cpp
+/// Output: \verbinclude MatrixBase_template_int_end.out
+///
+/// \sa class Block
+///
+template<int N>
+EIGEN_DEVICE_FUNC
+inline typename FixedSegmentReturnType<N>::Type tail(Index n = N)
+{
+  EIGEN_STATIC_ASSERT_VECTOR_ONLY(Derived)
+  return typename FixedSegmentReturnType<N>::Type(derived(), size() - n);
+}
+
+/// This is the const version of tail<int>.
+template<int N>
+EIGEN_DEVICE_FUNC
+inline typename ConstFixedSegmentReturnType<N>::Type tail(Index n = N) const
+{
+  EIGEN_STATIC_ASSERT_VECTOR_ONLY(Derived)
+  return typename ConstFixedSegmentReturnType<N>::Type(derived(), size() - n);
+}
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/plugins/ArrayCwiseBinaryOps.h
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/plugins/ArrayCwiseBinaryOps.h	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/plugins/ArrayCwiseBinaryOps.h	(revision 3761)
@@ -0,0 +1,332 @@
+
+/** \returns an expression of the coefficient wise product of \c *this and \a other
+  *
+  * \sa MatrixBase::cwiseProduct
+  */
+template<typename OtherDerived>
+EIGEN_DEVICE_FUNC
+EIGEN_STRONG_INLINE const EIGEN_CWISE_BINARY_RETURN_TYPE(Derived,OtherDerived,product)
+operator*(const EIGEN_CURRENT_STORAGE_BASE_CLASS<OtherDerived> &other) const
+{
+  return EIGEN_CWISE_BINARY_RETURN_TYPE(Derived,OtherDerived,product)(derived(), other.derived());
+}
+
+/** \returns an expression of the coefficient wise quotient of \c *this and \a other
+  *
+  * \sa MatrixBase::cwiseQuotient
+  */
+template<typename OtherDerived>
+EIGEN_DEVICE_FUNC
+EIGEN_STRONG_INLINE const CwiseBinaryOp<internal::scalar_quotient_op<Scalar,typename OtherDerived::Scalar>, const Derived, const OtherDerived>
+operator/(const EIGEN_CURRENT_STORAGE_BASE_CLASS<OtherDerived> &other) const
+{
+  return CwiseBinaryOp<internal::scalar_quotient_op<Scalar,typename OtherDerived::Scalar>, const Derived, const OtherDerived>(derived(), other.derived());
+}
+
+/** \returns an expression of the coefficient-wise min of \c *this and \a other
+  *
+  * Example: \include Cwise_min.cpp
+  * Output: \verbinclude Cwise_min.out
+  *
+  * \sa max()
+  */
+EIGEN_MAKE_CWISE_BINARY_OP(min,min)
+
+/** \returns an expression of the coefficient-wise min of \c *this and scalar \a other
+  *
+  * \sa max()
+  */
+EIGEN_DEVICE_FUNC
+EIGEN_STRONG_INLINE const CwiseBinaryOp<internal::scalar_min_op<Scalar,Scalar>, const Derived,
+                                        const CwiseNullaryOp<internal::scalar_constant_op<Scalar>, PlainObject> >
+#ifdef EIGEN_PARSED_BY_DOXYGEN
+min
+#else
+(min)
+#endif
+(const Scalar &other) const
+{
+  return (min)(Derived::PlainObject::Constant(rows(), cols(), other));
+}
+
+/** \returns an expression of the coefficient-wise max of \c *this and \a other
+  *
+  * Example: \include Cwise_max.cpp
+  * Output: \verbinclude Cwise_max.out
+  *
+  * \sa min()
+  */
+EIGEN_MAKE_CWISE_BINARY_OP(max,max)
+
+/** \returns an expression of the coefficient-wise max of \c *this and scalar \a other
+  *
+  * \sa min()
+  */
+EIGEN_DEVICE_FUNC
+EIGEN_STRONG_INLINE const CwiseBinaryOp<internal::scalar_max_op<Scalar,Scalar>, const Derived,
+                                        const CwiseNullaryOp<internal::scalar_constant_op<Scalar>, PlainObject> >
+#ifdef EIGEN_PARSED_BY_DOXYGEN
+max
+#else
+(max)
+#endif
+(const Scalar &other) const
+{
+  return (max)(Derived::PlainObject::Constant(rows(), cols(), other));
+}
+
+/** \returns an expression of the coefficient-wise power of \c *this to the given array of \a exponents.
+  *
+  * This function computes the coefficient-wise power.
+  *
+  * Example: \include Cwise_array_power_array.cpp
+  * Output: \verbinclude Cwise_array_power_array.out
+  */
+EIGEN_MAKE_CWISE_BINARY_OP(pow,pow)
+
+#ifndef EIGEN_PARSED_BY_DOXYGEN
+EIGEN_MAKE_SCALAR_BINARY_OP_ONTHERIGHT(pow,pow)
+#else
+/** \returns an expression of the coefficients of \c *this rasied to the constant power \a exponent
+  *
+  * \tparam T is the scalar type of \a exponent. It must be compatible with the scalar type of the given expression.
+  *
+  * This function computes the coefficient-wise power. The function MatrixBase::pow() in the
+  * unsupported module MatrixFunctions computes the matrix power.
+  *
+  * Example: \include Cwise_pow.cpp
+  * Output: \verbinclude Cwise_pow.out
+  *
+  * \sa ArrayBase::pow(ArrayBase), square(), cube(), exp(), log()
+  */
+template<typename T>
+const CwiseBinaryOp<internal::scalar_pow_op<Scalar,T>,Derived,Constant<T> > pow(const T& exponent) const;
+#endif
+
+
+// TODO code generating macros could be moved to Macros.h and could include generation of documentation
+#define EIGEN_MAKE_CWISE_COMP_OP(OP, COMPARATOR) \
+template<typename OtherDerived> \
+EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE const CwiseBinaryOp<internal::scalar_cmp_op<Scalar, typename OtherDerived::Scalar, internal::cmp_ ## COMPARATOR>, const Derived, const OtherDerived> \
+OP(const EIGEN_CURRENT_STORAGE_BASE_CLASS<OtherDerived> &other) const \
+{ \
+  return CwiseBinaryOp<internal::scalar_cmp_op<Scalar, typename OtherDerived::Scalar, internal::cmp_ ## COMPARATOR>, const Derived, const OtherDerived>(derived(), other.derived()); \
+}\
+typedef CwiseBinaryOp<internal::scalar_cmp_op<Scalar,Scalar, internal::cmp_ ## COMPARATOR>, const Derived, const CwiseNullaryOp<internal::scalar_constant_op<Scalar>, PlainObject> > Cmp ## COMPARATOR ## ReturnType; \
+typedef CwiseBinaryOp<internal::scalar_cmp_op<Scalar,Scalar, internal::cmp_ ## COMPARATOR>, const CwiseNullaryOp<internal::scalar_constant_op<Scalar>, PlainObject>, const Derived > RCmp ## COMPARATOR ## ReturnType; \
+EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE const Cmp ## COMPARATOR ## ReturnType \
+OP(const Scalar& s) const { \
+  return this->OP(Derived::PlainObject::Constant(rows(), cols(), s)); \
+} \
+EIGEN_DEVICE_FUNC friend EIGEN_STRONG_INLINE const RCmp ## COMPARATOR ## ReturnType \
+OP(const Scalar& s, const EIGEN_CURRENT_STORAGE_BASE_CLASS<Derived>& d) { \
+  return Derived::PlainObject::Constant(d.rows(), d.cols(), s).OP(d); \
+}
+
+#define EIGEN_MAKE_CWISE_COMP_R_OP(OP, R_OP, RCOMPARATOR) \
+template<typename OtherDerived> \
+EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE const CwiseBinaryOp<internal::scalar_cmp_op<typename OtherDerived::Scalar, Scalar, internal::cmp_##RCOMPARATOR>, const OtherDerived, const Derived> \
+OP(const EIGEN_CURRENT_STORAGE_BASE_CLASS<OtherDerived> &other) const \
+{ \
+  return CwiseBinaryOp<internal::scalar_cmp_op<typename OtherDerived::Scalar, Scalar, internal::cmp_##RCOMPARATOR>, const OtherDerived, const Derived>(other.derived(), derived()); \
+} \
+EIGEN_DEVICE_FUNC \
+inline const RCmp ## RCOMPARATOR ## ReturnType \
+OP(const Scalar& s) const { \
+  return Derived::PlainObject::Constant(rows(), cols(), s).R_OP(*this); \
+} \
+friend inline const Cmp ## RCOMPARATOR ## ReturnType \
+OP(const Scalar& s, const Derived& d) { \
+  return d.R_OP(Derived::PlainObject::Constant(d.rows(), d.cols(), s)); \
+}
+
+
+
+/** \returns an expression of the coefficient-wise \< operator of *this and \a other
+  *
+  * Example: \include Cwise_less.cpp
+  * Output: \verbinclude Cwise_less.out
+  *
+  * \sa all(), any(), operator>(), operator<=()
+  */
+EIGEN_MAKE_CWISE_COMP_OP(operator<, LT)
+
+/** \returns an expression of the coefficient-wise \<= operator of *this and \a other
+  *
+  * Example: \include Cwise_less_equal.cpp
+  * Output: \verbinclude Cwise_less_equal.out
+  *
+  * \sa all(), any(), operator>=(), operator<()
+  */
+EIGEN_MAKE_CWISE_COMP_OP(operator<=, LE)
+
+/** \returns an expression of the coefficient-wise \> operator of *this and \a other
+  *
+  * Example: \include Cwise_greater.cpp
+  * Output: \verbinclude Cwise_greater.out
+  *
+  * \sa all(), any(), operator>=(), operator<()
+  */
+EIGEN_MAKE_CWISE_COMP_R_OP(operator>, operator<, LT)
+
+/** \returns an expression of the coefficient-wise \>= operator of *this and \a other
+  *
+  * Example: \include Cwise_greater_equal.cpp
+  * Output: \verbinclude Cwise_greater_equal.out
+  *
+  * \sa all(), any(), operator>(), operator<=()
+  */
+EIGEN_MAKE_CWISE_COMP_R_OP(operator>=, operator<=, LE)
+
+/** \returns an expression of the coefficient-wise == operator of *this and \a other
+  *
+  * \warning this performs an exact comparison, which is generally a bad idea with floating-point types.
+  * In order to check for equality between two vectors or matrices with floating-point coefficients, it is
+  * generally a far better idea to use a fuzzy comparison as provided by isApprox() and
+  * isMuchSmallerThan().
+  *
+  * Example: \include Cwise_equal_equal.cpp
+  * Output: \verbinclude Cwise_equal_equal.out
+  *
+  * \sa all(), any(), isApprox(), isMuchSmallerThan()
+  */
+EIGEN_MAKE_CWISE_COMP_OP(operator==, EQ)
+
+/** \returns an expression of the coefficient-wise != operator of *this and \a other
+  *
+  * \warning this performs an exact comparison, which is generally a bad idea with floating-point types.
+  * In order to check for equality between two vectors or matrices with floating-point coefficients, it is
+  * generally a far better idea to use a fuzzy comparison as provided by isApprox() and
+  * isMuchSmallerThan().
+  *
+  * Example: \include Cwise_not_equal.cpp
+  * Output: \verbinclude Cwise_not_equal.out
+  *
+  * \sa all(), any(), isApprox(), isMuchSmallerThan()
+  */
+EIGEN_MAKE_CWISE_COMP_OP(operator!=, NEQ)
+
+
+#undef EIGEN_MAKE_CWISE_COMP_OP
+#undef EIGEN_MAKE_CWISE_COMP_R_OP
+
+// scalar addition
+#ifndef EIGEN_PARSED_BY_DOXYGEN
+EIGEN_MAKE_SCALAR_BINARY_OP(operator+,sum)
+#else
+/** \returns an expression of \c *this with each coeff incremented by the constant \a scalar
+  *
+  * \tparam T is the scalar type of \a scalar. It must be compatible with the scalar type of the given expression.
+  *
+  * Example: \include Cwise_plus.cpp
+  * Output: \verbinclude Cwise_plus.out
+  *
+  * \sa operator+=(), operator-()
+  */
+template<typename T>
+const CwiseBinaryOp<internal::scalar_sum_op<Scalar,T>,Derived,Constant<T> > operator+(const T& scalar) const;
+/** \returns an expression of \a expr with each coeff incremented by the constant \a scalar
+  *
+  * \tparam T is the scalar type of \a scalar. It must be compatible with the scalar type of the given expression.
+  */
+template<typename T> friend
+const CwiseBinaryOp<internal::scalar_sum_op<T,Scalar>,Constant<T>,Derived> operator+(const T& scalar, const StorageBaseType& expr);
+#endif
+
+#ifndef EIGEN_PARSED_BY_DOXYGEN
+EIGEN_MAKE_SCALAR_BINARY_OP(operator-,difference)
+#else
+/** \returns an expression of \c *this with each coeff decremented by the constant \a scalar
+  *
+  * \tparam T is the scalar type of \a scalar. It must be compatible with the scalar type of the given expression.
+  *
+  * Example: \include Cwise_minus.cpp
+  * Output: \verbinclude Cwise_minus.out
+  *
+  * \sa operator+=(), operator-()
+  */
+template<typename T>
+const CwiseBinaryOp<internal::scalar_difference_op<Scalar,T>,Derived,Constant<T> > operator-(const T& scalar) const;
+/** \returns an expression of the constant matrix of value \a scalar decremented by the coefficients of \a expr
+  *
+  * \tparam T is the scalar type of \a scalar. It must be compatible with the scalar type of the given expression.
+  */
+template<typename T> friend
+const CwiseBinaryOp<internal::scalar_difference_op<T,Scalar>,Constant<T>,Derived> operator-(const T& scalar, const StorageBaseType& expr);
+#endif
+
+
+#ifndef EIGEN_PARSED_BY_DOXYGEN
+  EIGEN_MAKE_SCALAR_BINARY_OP_ONTHELEFT(operator/,quotient)
+#else
+  /**
+    * \brief Component-wise division of the scalar \a s by array elements of \a a.
+    *
+    * \tparam Scalar is the scalar type of \a x. It must be compatible with the scalar type of the given array expression (\c Derived::Scalar).
+    */
+  template<typename T> friend
+  inline const CwiseBinaryOp<internal::scalar_quotient_op<T,Scalar>,Constant<T>,Derived>
+  operator/(const T& s,const StorageBaseType& a);
+#endif
+
+/** \returns an expression of the coefficient-wise ^ operator of *this and \a other
+ *
+ * \warning this operator is for expression of bool only.
+ *
+ * Example: \include Cwise_boolean_xor.cpp
+ * Output: \verbinclude Cwise_boolean_xor.out
+ *
+ * \sa operator&&(), select()
+ */
+template<typename OtherDerived>
+EIGEN_DEVICE_FUNC
+inline const CwiseBinaryOp<internal::scalar_boolean_xor_op, const Derived, const OtherDerived>
+operator^(const EIGEN_CURRENT_STORAGE_BASE_CLASS<OtherDerived> &other) const
+{
+  EIGEN_STATIC_ASSERT((internal::is_same<bool,Scalar>::value && internal::is_same<bool,typename OtherDerived::Scalar>::value),
+                      THIS_METHOD_IS_ONLY_FOR_EXPRESSIONS_OF_BOOL);
+  return CwiseBinaryOp<internal::scalar_boolean_xor_op, const Derived, const OtherDerived>(derived(),other.derived());
+}
+
+// NOTE disabled until we agree on argument order
+#if 0
+/** \cpp11 \returns an expression of the coefficient-wise polygamma function.
+  *
+  * \specialfunctions_module
+  *
+  * It returns the \a n -th derivative of the digamma(psi) evaluated at \c *this.
+  *
+  * \warning Be careful with the order of the parameters: x.polygamma(n) is equivalent to polygamma(n,x)
+  *
+  * \sa Eigen::polygamma()
+  */
+template<typename DerivedN>
+inline const CwiseBinaryOp<internal::scalar_polygamma_op<Scalar>, const DerivedN, const Derived>
+polygamma(const EIGEN_CURRENT_STORAGE_BASE_CLASS<DerivedN> &n) const
+{
+  return CwiseBinaryOp<internal::scalar_polygamma_op<Scalar>, const DerivedN, const Derived>(n.derived(), this->derived());
+}
+#endif
+
+/** \returns an expression of the coefficient-wise zeta function.
+  *
+  * \specialfunctions_module
+  *
+  * It returns the Riemann zeta function of two arguments \c *this and \a q:
+  *
+  * \param *this is the exposent, it must be > 1
+  * \param q is the shift, it must be > 0
+  *
+  * \note This function supports only float and double scalar types. To support other scalar types, the user has
+  * to provide implementations of zeta(T,T) for any scalar type T to be supported.
+  *
+  * This method is an alias for zeta(*this,q);
+  *
+  * \sa Eigen::zeta()
+  */
+template<typename DerivedQ>
+inline const CwiseBinaryOp<internal::scalar_zeta_op<Scalar>, const Derived, const DerivedQ>
+zeta(const EIGEN_CURRENT_STORAGE_BASE_CLASS<DerivedQ> &q) const
+{
+  return CwiseBinaryOp<internal::scalar_zeta_op<Scalar>, const Derived, const DerivedQ>(this->derived(), q.derived());
+}
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/plugins/MatrixCwiseUnaryOps.h
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/plugins/MatrixCwiseUnaryOps.h	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/plugins/MatrixCwiseUnaryOps.h	(revision 3761)
@@ -0,0 +1,85 @@
+// This file is part of Eigen, a lightweight C++ template library
+// for linear algebra.
+//
+// Copyright (C) 2008-2009 Gael Guennebaud <gael.guennebaud@inria.fr>
+// Copyright (C) 2006-2008 Benoit Jacob <jacob.benoit.1@gmail.com>
+//
+// This Source Code Form is subject to the terms of the Mozilla
+// Public License v. 2.0. If a copy of the MPL was not distributed
+// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
+
+// This file is included into the body of the base classes supporting matrix specific coefficient-wise functions.
+// This include MatrixBase and SparseMatrixBase.
+
+
+typedef CwiseUnaryOp<internal::scalar_abs_op<Scalar>, const Derived> CwiseAbsReturnType;
+typedef CwiseUnaryOp<internal::scalar_abs2_op<Scalar>, const Derived> CwiseAbs2ReturnType;
+typedef CwiseUnaryOp<internal::scalar_sqrt_op<Scalar>, const Derived> CwiseSqrtReturnType;
+typedef CwiseUnaryOp<internal::scalar_sign_op<Scalar>, const Derived> CwiseSignReturnType;
+typedef CwiseUnaryOp<internal::scalar_inverse_op<Scalar>, const Derived> CwiseInverseReturnType;
+
+/// \returns an expression of the coefficient-wise absolute value of \c *this
+///
+/// Example: \include MatrixBase_cwiseAbs.cpp
+/// Output: \verbinclude MatrixBase_cwiseAbs.out
+///
+EIGEN_DOC_UNARY_ADDONS(cwiseAbs,absolute value)
+///
+/// \sa cwiseAbs2()
+///
+EIGEN_DEVICE_FUNC
+EIGEN_STRONG_INLINE const CwiseAbsReturnType
+cwiseAbs() const { return CwiseAbsReturnType(derived()); }
+
+/// \returns an expression of the coefficient-wise squared absolute value of \c *this
+///
+/// Example: \include MatrixBase_cwiseAbs2.cpp
+/// Output: \verbinclude MatrixBase_cwiseAbs2.out
+///
+EIGEN_DOC_UNARY_ADDONS(cwiseAbs2,squared absolute value)
+///
+/// \sa cwiseAbs()
+///
+EIGEN_DEVICE_FUNC
+EIGEN_STRONG_INLINE const CwiseAbs2ReturnType
+cwiseAbs2() const { return CwiseAbs2ReturnType(derived()); }
+
+/// \returns an expression of the coefficient-wise square root of *this.
+///
+/// Example: \include MatrixBase_cwiseSqrt.cpp
+/// Output: \verbinclude MatrixBase_cwiseSqrt.out
+///
+EIGEN_DOC_UNARY_ADDONS(cwiseSqrt,square-root)
+///
+/// \sa cwisePow(), cwiseSquare()
+///
+EIGEN_DEVICE_FUNC
+inline const CwiseSqrtReturnType
+cwiseSqrt() const { return CwiseSqrtReturnType(derived()); }
+
+/// \returns an expression of the coefficient-wise signum of *this.
+///
+/// Example: \include MatrixBase_cwiseSign.cpp
+/// Output: \verbinclude MatrixBase_cwiseSign.out
+///
+EIGEN_DOC_UNARY_ADDONS(cwiseSign,sign function)
+///
+EIGEN_DEVICE_FUNC
+inline const CwiseSignReturnType
+cwiseSign() const { return CwiseSignReturnType(derived()); }
+
+
+/// \returns an expression of the coefficient-wise inverse of *this.
+///
+/// Example: \include MatrixBase_cwiseInverse.cpp
+/// Output: \verbinclude MatrixBase_cwiseInverse.out
+///
+EIGEN_DOC_UNARY_ADDONS(cwiseInverse,inverse)
+///
+/// \sa cwiseProduct()
+///
+EIGEN_DEVICE_FUNC
+inline const CwiseInverseReturnType
+cwiseInverse() const { return CwiseInverseReturnType(derived()); }
+
+
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h	(revision 3761)
@@ -0,0 +1,673 @@
+// This file is part of Eigen, a lightweight C++ template library
+// for linear algebra.
+//
+// Copyright (C) 2008-2011 Gael Guennebaud <gael.guennebaud@inria.fr>
+// Copyright (C) 2009 Keir Mierle <mierle@gmail.com>
+// Copyright (C) 2009 Benoit Jacob <jacob.benoit.1@gmail.com>
+// Copyright (C) 2011 Timothy E. Holy <tim.holy@gmail.com >
+//
+// This Source Code Form is subject to the terms of the Mozilla
+// Public License v. 2.0. If a copy of the MPL was not distributed
+// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
+
+#ifndef EIGEN_LDLT_H
+#define EIGEN_LDLT_H
+
+namespace Eigen {
+
+namespace internal {
+  template<typename MatrixType, int UpLo> struct LDLT_Traits;
+
+  // PositiveSemiDef means positive semi-definite and non-zero; same for NegativeSemiDef
+  enum SignMatrix { PositiveSemiDef, NegativeSemiDef, ZeroSign, Indefinite };
+}
+
+/** \ingroup Cholesky_Module
+  *
+  * \class LDLT
+  *
+  * \brief Robust Cholesky decomposition of a matrix with pivoting
+  *
+  * \tparam _MatrixType the type of the matrix of which to compute the LDL^T Cholesky decomposition
+  * \tparam _UpLo the triangular part that will be used for the decompositon: Lower (default) or Upper.
+  *             The other triangular part won't be read.
+  *
+  * Perform a robust Cholesky decomposition of a positive semidefinite or negative semidefinite
+  * matrix \f$ A \f$ such that \f$ A =  P^TLDL^*P \f$, where P is a permutation matrix, L
+  * is lower triangular with a unit diagonal and D is a diagonal matrix.
+  *
+  * The decomposition uses pivoting to ensure stability, so that L will have
+  * zeros in the bottom right rank(A) - n submatrix. Avoiding the square root
+  * on D also stabilizes the computation.
+  *
+  * Remember that Cholesky decompositions are not rank-revealing. Also, do not use a Cholesky
+  * decomposition to determine whether a system of equations has a solution.
+  *
+  * This class supports the \link InplaceDecomposition inplace decomposition \endlink mechanism.
+  * 
+  * \sa MatrixBase::ldlt(), SelfAdjointView::ldlt(), class LLT
+  */
+template<typename _MatrixType, int _UpLo> class LDLT
+{
+  public:
+    typedef _MatrixType MatrixType;
+    enum {
+      RowsAtCompileTime = MatrixType::RowsAtCompileTime,
+      ColsAtCompileTime = MatrixType::ColsAtCompileTime,
+      MaxRowsAtCompileTime = MatrixType::MaxRowsAtCompileTime,
+      MaxColsAtCompileTime = MatrixType::MaxColsAtCompileTime,
+      UpLo = _UpLo
+    };
+    typedef typename MatrixType::Scalar Scalar;
+    typedef typename NumTraits<typename MatrixType::Scalar>::Real RealScalar;
+    typedef Eigen::Index Index; ///< \deprecated since Eigen 3.3
+    typedef typename MatrixType::StorageIndex StorageIndex;
+    typedef Matrix<Scalar, RowsAtCompileTime, 1, 0, MaxRowsAtCompileTime, 1> TmpMatrixType;
+
+    typedef Transpositions<RowsAtCompileTime, MaxRowsAtCompileTime> TranspositionType;
+    typedef PermutationMatrix<RowsAtCompileTime, MaxRowsAtCompileTime> PermutationType;
+
+    typedef internal::LDLT_Traits<MatrixType,UpLo> Traits;
+
+    /** \brief Default Constructor.
+      *
+      * The default constructor is useful in cases in which the user intends to
+      * perform decompositions via LDLT::compute(const MatrixType&).
+      */
+    LDLT()
+      : m_matrix(),
+        m_transpositions(),
+        m_sign(internal::ZeroSign),
+        m_isInitialized(false)
+    {}
+
+    /** \brief Default Constructor with memory preallocation
+      *
+      * Like the default constructor but with preallocation of the internal data
+      * according to the specified problem \a size.
+      * \sa LDLT()
+      */
+    explicit LDLT(Index size)
+      : m_matrix(size, size),
+        m_transpositions(size),
+        m_temporary(size),
+        m_sign(internal::ZeroSign),
+        m_isInitialized(false)
+    {}
+
+    /** \brief Constructor with decomposition
+      *
+      * This calculates the decomposition for the input \a matrix.
+      *
+      * \sa LDLT(Index size)
+      */
+    template<typename InputType>
+    explicit LDLT(const EigenBase<InputType>& matrix)
+      : m_matrix(matrix.rows(), matrix.cols()),
+        m_transpositions(matrix.rows()),
+        m_temporary(matrix.rows()),
+        m_sign(internal::ZeroSign),
+        m_isInitialized(false)
+    {
+      compute(matrix.derived());
+    }
+
+    /** \brief Constructs a LDLT factorization from a given matrix
+      *
+      * This overloaded constructor is provided for \link InplaceDecomposition inplace decomposition \endlink when \c MatrixType is a Eigen::Ref.
+      *
+      * \sa LDLT(const EigenBase&)
+      */
+    template<typename InputType>
+    explicit LDLT(EigenBase<InputType>& matrix)
+      : m_matrix(matrix.derived()),
+        m_transpositions(matrix.rows()),
+        m_temporary(matrix.rows()),
+        m_sign(internal::ZeroSign),
+        m_isInitialized(false)
+    {
+      compute(matrix.derived());
+    }
+
+    /** Clear any existing decomposition
+     * \sa rankUpdate(w,sigma)
+     */
+    void setZero()
+    {
+      m_isInitialized = false;
+    }
+
+    /** \returns a view of the upper triangular matrix U */
+    inline typename Traits::MatrixU matrixU() const
+    {
+      eigen_assert(m_isInitialized && "LDLT is not initialized.");
+      return Traits::getU(m_matrix);
+    }
+
+    /** \returns a view of the lower triangular matrix L */
+    inline typename Traits::MatrixL matrixL() const
+    {
+      eigen_assert(m_isInitialized && "LDLT is not initialized.");
+      return Traits::getL(m_matrix);
+    }
+
+    /** \returns the permutation matrix P as a transposition sequence.
+      */
+    inline const TranspositionType& transpositionsP() const
+    {
+      eigen_assert(m_isInitialized && "LDLT is not initialized.");
+      return m_transpositions;
+    }
+
+    /** \returns the coefficients of the diagonal matrix D */
+    inline Diagonal<const MatrixType> vectorD() const
+    {
+      eigen_assert(m_isInitialized && "LDLT is not initialized.");
+      return m_matrix.diagonal();
+    }
+
+    /** \returns true if the matrix is positive (semidefinite) */
+    inline bool isPositive() const
+    {
+      eigen_assert(m_isInitialized && "LDLT is not initialized.");
+      return m_sign == internal::PositiveSemiDef || m_sign == internal::ZeroSign;
+    }
+
+    /** \returns true if the matrix is negative (semidefinite) */
+    inline bool isNegative(void) const
+    {
+      eigen_assert(m_isInitialized && "LDLT is not initialized.");
+      return m_sign == internal::NegativeSemiDef || m_sign == internal::ZeroSign;
+    }
+
+    /** \returns a solution x of \f$ A x = b \f$ using the current decomposition of A.
+      *
+      * This function also supports in-place solves using the syntax <tt>x = decompositionObject.solve(x)</tt> .
+      *
+      * \note_about_checking_solutions
+      *
+      * More precisely, this method solves \f$ A x = b \f$ using the decomposition \f$ A = P^T L D L^* P \f$
+      * by solving the systems \f$ P^T y_1 = b \f$, \f$ L y_2 = y_1 \f$, \f$ D y_3 = y_2 \f$,
+      * \f$ L^* y_4 = y_3 \f$ and \f$ P x = y_4 \f$ in succession. If the matrix \f$ A \f$ is singular, then
+      * \f$ D \f$ will also be singular (all the other matrices are invertible). In that case, the
+      * least-square solution of \f$ D y_3 = y_2 \f$ is computed. This does not mean that this function
+      * computes the least-square solution of \f$ A x = b \f$ is \f$ A \f$ is singular.
+      *
+      * \sa MatrixBase::ldlt(), SelfAdjointView::ldlt()
+      */
+    template<typename Rhs>
+    inline const Solve<LDLT, Rhs>
+    solve(const MatrixBase<Rhs>& b) const
+    {
+      eigen_assert(m_isInitialized && "LDLT is not initialized.");
+      eigen_assert(m_matrix.rows()==b.rows()
+                && "LDLT::solve(): invalid number of rows of the right hand side matrix b");
+      return Solve<LDLT, Rhs>(*this, b.derived());
+    }
+
+    template<typename Derived>
+    bool solveInPlace(MatrixBase<Derived> &bAndX) const;
+
+    template<typename InputType>
+    LDLT& compute(const EigenBase<InputType>& matrix);
+
+    /** \returns an estimate of the reciprocal condition number of the matrix of
+     *  which \c *this is the LDLT decomposition.
+     */
+    RealScalar rcond() const
+    {
+      eigen_assert(m_isInitialized && "LDLT is not initialized.");
+      return internal::rcond_estimate_helper(m_l1_norm, *this);
+    }
+
+    template <typename Derived>
+    LDLT& rankUpdate(const MatrixBase<Derived>& w, const RealScalar& alpha=1);
+
+    /** \returns the internal LDLT decomposition matrix
+      *
+      * TODO: document the storage layout
+      */
+    inline const MatrixType& matrixLDLT() const
+    {
+      eigen_assert(m_isInitialized && "LDLT is not initialized.");
+      return m_matrix;
+    }
+
+    MatrixType reconstructedMatrix() const;
+
+    /** \returns the adjoint of \c *this, that is, a const reference to the decomposition itself as the underlying matrix is self-adjoint.
+      *
+      * This method is provided for compatibility with other matrix decompositions, thus enabling generic code such as:
+      * \code x = decomposition.adjoint().solve(b) \endcode
+      */
+    const LDLT& adjoint() const { return *this; };
+
+    inline Index rows() const { return m_matrix.rows(); }
+    inline Index cols() const { return m_matrix.cols(); }
+
+    /** \brief Reports whether previous computation was successful.
+      *
+      * \returns \c Success if computation was succesful,
+      *          \c NumericalIssue if the factorization failed because of a zero pivot.
+      */
+    ComputationInfo info() const
+    {
+      eigen_assert(m_isInitialized && "LDLT is not initialized.");
+      return m_info;
+    }
+
+    #ifndef EIGEN_PARSED_BY_DOXYGEN
+    template<typename RhsType, typename DstType>
+    EIGEN_DEVICE_FUNC
+    void _solve_impl(const RhsType &rhs, DstType &dst) const;
+    #endif
+
+  protected:
+
+    static void check_template_parameters()
+    {
+      EIGEN_STATIC_ASSERT_NON_INTEGER(Scalar);
+    }
+
+    /** \internal
+      * Used to compute and store the Cholesky decomposition A = L D L^* = U^* D U.
+      * The strict upper part is used during the decomposition, the strict lower
+      * part correspond to the coefficients of L (its diagonal is equal to 1 and
+      * is not stored), and the diagonal entries correspond to D.
+      */
+    MatrixType m_matrix;
+    RealScalar m_l1_norm;
+    TranspositionType m_transpositions;
+    TmpMatrixType m_temporary;
+    internal::SignMatrix m_sign;
+    bool m_isInitialized;
+    ComputationInfo m_info;
+};
+
+namespace internal {
+
+template<int UpLo> struct ldlt_inplace;
+
+template<> struct ldlt_inplace<Lower>
+{
+  template<typename MatrixType, typename TranspositionType, typename Workspace>
+  static bool unblocked(MatrixType& mat, TranspositionType& transpositions, Workspace& temp, SignMatrix& sign)
+  {
+    using std::abs;
+    typedef typename MatrixType::Scalar Scalar;
+    typedef typename MatrixType::RealScalar RealScalar;
+    typedef typename TranspositionType::StorageIndex IndexType;
+    eigen_assert(mat.rows()==mat.cols());
+    const Index size = mat.rows();
+    bool found_zero_pivot = false;
+    bool ret = true;
+
+    if (size <= 1)
+    {
+      transpositions.setIdentity();
+      if(size==0) sign = ZeroSign;
+      else if (numext::real(mat.coeff(0,0)) > static_cast<RealScalar>(0) ) sign = PositiveSemiDef;
+      else if (numext::real(mat.coeff(0,0)) < static_cast<RealScalar>(0)) sign = NegativeSemiDef;
+      else sign = ZeroSign;
+      return true;
+    }
+
+    for (Index k = 0; k < size; ++k)
+    {
+      // Find largest diagonal element
+      Index index_of_biggest_in_corner;
+      mat.diagonal().tail(size-k).cwiseAbs().maxCoeff(&index_of_biggest_in_corner);
+      index_of_biggest_in_corner += k;
+
+      transpositions.coeffRef(k) = IndexType(index_of_biggest_in_corner);
+      if(k != index_of_biggest_in_corner)
+      {
+        // apply the transposition while taking care to consider only
+        // the lower triangular part
+        Index s = size-index_of_biggest_in_corner-1; // trailing size after the biggest element
+        mat.row(k).head(k).swap(mat.row(index_of_biggest_in_corner).head(k));
+        mat.col(k).tail(s).swap(mat.col(index_of_biggest_in_corner).tail(s));
+        std::swap(mat.coeffRef(k,k),mat.coeffRef(index_of_biggest_in_corner,index_of_biggest_in_corner));
+        for(Index i=k+1;i<index_of_biggest_in_corner;++i)
+        {
+          Scalar tmp = mat.coeffRef(i,k);
+          mat.coeffRef(i,k) = numext::conj(mat.coeffRef(index_of_biggest_in_corner,i));
+          mat.coeffRef(index_of_biggest_in_corner,i) = numext::conj(tmp);
+        }
+        if(NumTraits<Scalar>::IsComplex)
+          mat.coeffRef(index_of_biggest_in_corner,k) = numext::conj(mat.coeff(index_of_biggest_in_corner,k));
+      }
+
+      // partition the matrix:
+      //       A00 |  -  |  -
+      // lu  = A10 | A11 |  -
+      //       A20 | A21 | A22
+      Index rs = size - k - 1;
+      Block<MatrixType,Dynamic,1> A21(mat,k+1,k,rs,1);
+      Block<MatrixType,1,Dynamic> A10(mat,k,0,1,k);
+      Block<MatrixType,Dynamic,Dynamic> A20(mat,k+1,0,rs,k);
+
+      if(k>0)
+      {
+        temp.head(k) = mat.diagonal().real().head(k).asDiagonal() * A10.adjoint();
+        mat.coeffRef(k,k) -= (A10 * temp.head(k)).value();
+        if(rs>0)
+          A21.noalias() -= A20 * temp.head(k);
+      }
+
+      // In some previous versions of Eigen (e.g., 3.2.1), the scaling was omitted if the pivot
+      // was smaller than the cutoff value. However, since LDLT is not rank-revealing
+      // we should only make sure that we do not introduce INF or NaN values.
+      // Remark that LAPACK also uses 0 as the cutoff value.
+      RealScalar realAkk = numext::real(mat.coeffRef(k,k));
+      bool pivot_is_valid = (abs(realAkk) > RealScalar(0));
+
+      if(k==0 && !pivot_is_valid)
+      {
+        // The entire diagonal is zero, there is nothing more to do
+        // except filling the transpositions, and checking whether the matrix is zero.
+        sign = ZeroSign;
+        for(Index j = 0; j<size; ++j)
+        {
+          transpositions.coeffRef(j) = IndexType(j);
+          ret = ret && (mat.col(j).tail(size-j-1).array()==Scalar(0)).all();
+        }
+        return ret;
+      }
+
+      if((rs>0) && pivot_is_valid)
+        A21 /= realAkk;
+      else if(rs>0)
+        ret = ret && (A21.array()==Scalar(0)).all();
+
+      if(found_zero_pivot && pivot_is_valid) ret = false; // factorization failed
+      else if(!pivot_is_valid) found_zero_pivot = true;
+
+      if (sign == PositiveSemiDef) {
+        if (realAkk < static_cast<RealScalar>(0)) sign = Indefinite;
+      } else if (sign == NegativeSemiDef) {
+        if (realAkk > static_cast<RealScalar>(0)) sign = Indefinite;
+      } else if (sign == ZeroSign) {
+        if (realAkk > static_cast<RealScalar>(0)) sign = PositiveSemiDef;
+        else if (realAkk < static_cast<RealScalar>(0)) sign = NegativeSemiDef;
+      }
+    }
+
+    return ret;
+  }
+
+  // Reference for the algorithm: Davis and Hager, "Multiple Rank
+  // Modifications of a Sparse Cholesky Factorization" (Algorithm 1)
+  // Trivial rearrangements of their computations (Timothy E. Holy)
+  // allow their algorithm to work for rank-1 updates even if the
+  // original matrix is not of full rank.
+  // Here only rank-1 updates are implemented, to reduce the
+  // requirement for intermediate storage and improve accuracy
+  template<typename MatrixType, typename WDerived>
+  static bool updateInPlace(MatrixType& mat, MatrixBase<WDerived>& w, const typename MatrixType::RealScalar& sigma=1)
+  {
+    using numext::isfinite;
+    typedef typename MatrixType::Scalar Scalar;
+    typedef typename MatrixType::RealScalar RealScalar;
+
+    const Index size = mat.rows();
+    eigen_assert(mat.cols() == size && w.size()==size);
+
+    RealScalar alpha = 1;
+
+    // Apply the update
+    for (Index j = 0; j < size; j++)
+    {
+      // Check for termination due to an original decomposition of low-rank
+      if (!(isfinite)(alpha))
+        break;
+
+      // Update the diagonal terms
+      RealScalar dj = numext::real(mat.coeff(j,j));
+      Scalar wj = w.coeff(j);
+      RealScalar swj2 = sigma*numext::abs2(wj);
+      RealScalar gamma = dj*alpha + swj2;
+
+      mat.coeffRef(j,j) += swj2/alpha;
+      alpha += swj2/dj;
+
+
+      // Update the terms of L
+      Index rs = size-j-1;
+      w.tail(rs) -= wj * mat.col(j).tail(rs);
+      if(gamma != 0)
+        mat.col(j).tail(rs) += (sigma*numext::conj(wj)/gamma)*w.tail(rs);
+    }
+    return true;
+  }
+
+  template<typename MatrixType, typename TranspositionType, typename Workspace, typename WType>
+  static bool update(MatrixType& mat, const TranspositionType& transpositions, Workspace& tmp, const WType& w, const typename MatrixType::RealScalar& sigma=1)
+  {
+    // Apply the permutation to the input w
+    tmp = transpositions * w;
+
+    return ldlt_inplace<Lower>::updateInPlace(mat,tmp,sigma);
+  }
+};
+
+template<> struct ldlt_inplace<Upper>
+{
+  template<typename MatrixType, typename TranspositionType, typename Workspace>
+  static EIGEN_STRONG_INLINE bool unblocked(MatrixType& mat, TranspositionType& transpositions, Workspace& temp, SignMatrix& sign)
+  {
+    Transpose<MatrixType> matt(mat);
+    return ldlt_inplace<Lower>::unblocked(matt, transpositions, temp, sign);
+  }
+
+  template<typename MatrixType, typename TranspositionType, typename Workspace, typename WType>
+  static EIGEN_STRONG_INLINE bool update(MatrixType& mat, TranspositionType& transpositions, Workspace& tmp, WType& w, const typename MatrixType::RealScalar& sigma=1)
+  {
+    Transpose<MatrixType> matt(mat);
+    return ldlt_inplace<Lower>::update(matt, transpositions, tmp, w.conjugate(), sigma);
+  }
+};
+
+template<typename MatrixType> struct LDLT_Traits<MatrixType,Lower>
+{
+  typedef const TriangularView<const MatrixType, UnitLower> MatrixL;
+  typedef const TriangularView<const typename MatrixType::AdjointReturnType, UnitUpper> MatrixU;
+  static inline MatrixL getL(const MatrixType& m) { return MatrixL(m); }
+  static inline MatrixU getU(const MatrixType& m) { return MatrixU(m.adjoint()); }
+};
+
+template<typename MatrixType> struct LDLT_Traits<MatrixType,Upper>
+{
+  typedef const TriangularView<const typename MatrixType::AdjointReturnType, UnitLower> MatrixL;
+  typedef const TriangularView<const MatrixType, UnitUpper> MatrixU;
+  static inline MatrixL getL(const MatrixType& m) { return MatrixL(m.adjoint()); }
+  static inline MatrixU getU(const MatrixType& m) { return MatrixU(m); }
+};
+
+} // end namespace internal
+
+/** Compute / recompute the LDLT decomposition A = L D L^* = U^* D U of \a matrix
+  */
+template<typename MatrixType, int _UpLo>
+template<typename InputType>
+LDLT<MatrixType,_UpLo>& LDLT<MatrixType,_UpLo>::compute(const EigenBase<InputType>& a)
+{
+  check_template_parameters();
+
+  eigen_assert(a.rows()==a.cols());
+  const Index size = a.rows();
+
+  m_matrix = a.derived();
+
+  // Compute matrix L1 norm = max abs column sum.
+  m_l1_norm = RealScalar(0);
+  // TODO move this code to SelfAdjointView
+  for (Index col = 0; col < size; ++col) {
+    RealScalar abs_col_sum;
+    if (_UpLo == Lower)
+      abs_col_sum = m_matrix.col(col).tail(size - col).template lpNorm<1>() + m_matrix.row(col).head(col).template lpNorm<1>();
+    else
+      abs_col_sum = m_matrix.col(col).head(col).template lpNorm<1>() + m_matrix.row(col).tail(size - col).template lpNorm<1>();
+    if (abs_col_sum > m_l1_norm)
+      m_l1_norm = abs_col_sum;
+  }
+
+  m_transpositions.resize(size);
+  m_isInitialized = false;
+  m_temporary.resize(size);
+  m_sign = internal::ZeroSign;
+
+  m_info = internal::ldlt_inplace<UpLo>::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue;
+
+  m_isInitialized = true;
+  return *this;
+}
+
+/** Update the LDLT decomposition:  given A = L D L^T, efficiently compute the decomposition of A + sigma w w^T.
+ * \param w a vector to be incorporated into the decomposition.
+ * \param sigma a scalar, +1 for updates and -1 for "downdates," which correspond to removing previously-added column vectors. Optional; default value is +1.
+ * \sa setZero()
+  */
+template<typename MatrixType, int _UpLo>
+template<typename Derived>
+LDLT<MatrixType,_UpLo>& LDLT<MatrixType,_UpLo>::rankUpdate(const MatrixBase<Derived>& w, const typename LDLT<MatrixType,_UpLo>::RealScalar& sigma)
+{
+  typedef typename TranspositionType::StorageIndex IndexType;
+  const Index size = w.rows();
+  if (m_isInitialized)
+  {
+    eigen_assert(m_matrix.rows()==size);
+  }
+  else
+  {
+    m_matrix.resize(size,size);
+    m_matrix.setZero();
+    m_transpositions.resize(size);
+    for (Index i = 0; i < size; i++)
+      m_transpositions.coeffRef(i) = IndexType(i);
+    m_temporary.resize(size);
+    m_sign = sigma>=0 ? internal::PositiveSemiDef : internal::NegativeSemiDef;
+    m_isInitialized = true;
+  }
+
+  internal::ldlt_inplace<UpLo>::update(m_matrix, m_transpositions, m_temporary, w, sigma);
+
+  return *this;
+}
+
+#ifndef EIGEN_PARSED_BY_DOXYGEN
+template<typename _MatrixType, int _UpLo>
+template<typename RhsType, typename DstType>
+void LDLT<_MatrixType,_UpLo>::_solve_impl(const RhsType &rhs, DstType &dst) const
+{
+  eigen_assert(rhs.rows() == rows());
+  // dst = P b
+  dst = m_transpositions * rhs;
+
+  // dst = L^-1 (P b)
+  matrixL().solveInPlace(dst);
+
+  // dst = D^-1 (L^-1 P b)
+  // more precisely, use pseudo-inverse of D (see bug 241)
+  using std::abs;
+  const typename Diagonal<const MatrixType>::RealReturnType vecD(vectorD());
+  // In some previous versions, tolerance was set to the max of 1/highest (or rather numeric_limits::min())
+  // and the maximal diagonal entry * epsilon as motivated by LAPACK's xGELSS:
+  // RealScalar tolerance = numext::maxi(vecD.array().abs().maxCoeff() * NumTraits<RealScalar>::epsilon(),RealScalar(1) / NumTraits<RealScalar>::highest());
+  // However, LDLT is not rank revealing, and so adjusting the tolerance wrt to the highest
+  // diagonal element is not well justified and leads to numerical issues in some cases.
+  // Moreover, Lapack's xSYTRS routines use 0 for the tolerance.
+  // Using numeric_limits::min() gives us more robustness to denormals.
+  RealScalar tolerance = (std::numeric_limits<RealScalar>::min)();
+
+  for (Index i = 0; i < vecD.size(); ++i)
+  {
+    if(abs(vecD(i)) > tolerance)
+      dst.row(i) /= vecD(i);
+    else
+      dst.row(i).setZero();
+  }
+
+  // dst = L^-T (D^-1 L^-1 P b)
+  matrixU().solveInPlace(dst);
+
+  // dst = P^-1 (L^-T D^-1 L^-1 P b) = A^-1 b
+  dst = m_transpositions.transpose() * dst;
+}
+#endif
+
+/** \internal use x = ldlt_object.solve(x);
+  *
+  * This is the \em in-place version of solve().
+  *
+  * \param bAndX represents both the right-hand side matrix b and result x.
+  *
+  * \returns true always! If you need to check for existence of solutions, use another decomposition like LU, QR, or SVD.
+  *
+  * This version avoids a copy when the right hand side matrix b is not
+  * needed anymore.
+  *
+  * \sa LDLT::solve(), MatrixBase::ldlt()
+  */
+template<typename MatrixType,int _UpLo>
+template<typename Derived>
+bool LDLT<MatrixType,_UpLo>::solveInPlace(MatrixBase<Derived> &bAndX) const
+{
+  eigen_assert(m_isInitialized && "LDLT is not initialized.");
+  eigen_assert(m_matrix.rows() == bAndX.rows());
+
+  bAndX = this->solve(bAndX);
+
+  return true;
+}
+
+/** \returns the matrix represented by the decomposition,
+ * i.e., it returns the product: P^T L D L^* P.
+ * This function is provided for debug purpose. */
+template<typename MatrixType, int _UpLo>
+MatrixType LDLT<MatrixType,_UpLo>::reconstructedMatrix() const
+{
+  eigen_assert(m_isInitialized && "LDLT is not initialized.");
+  const Index size = m_matrix.rows();
+  MatrixType res(size,size);
+
+  // P
+  res.setIdentity();
+  res = transpositionsP() * res;
+  // L^* P
+  res = matrixU() * res;
+  // D(L^*P)
+  res = vectorD().real().asDiagonal() * res;
+  // L(DL^*P)
+  res = matrixL() * res;
+  // P^T (LDL^*P)
+  res = transpositionsP().transpose() * res;
+
+  return res;
+}
+
+/** \cholesky_module
+  * \returns the Cholesky decomposition with full pivoting without square root of \c *this
+  * \sa MatrixBase::ldlt()
+  */
+template<typename MatrixType, unsigned int UpLo>
+inline const LDLT<typename SelfAdjointView<MatrixType, UpLo>::PlainObject, UpLo>
+SelfAdjointView<MatrixType, UpLo>::ldlt() const
+{
+  return LDLT<PlainObject,UpLo>(m_matrix);
+}
+
+/** \cholesky_module
+  * \returns the Cholesky decomposition with full pivoting without square root of \c *this
+  * \sa SelfAdjointView::ldlt()
+  */
+template<typename Derived>
+inline const LDLT<typename MatrixBase<Derived>::PlainObject>
+MatrixBase<Derived>::ldlt() const
+{
+  return LDLT<PlainObject>(derived());
+}
+
+} // end namespace Eigen
+
+#endif // EIGEN_LDLT_H
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h	(revision 3761)
@@ -0,0 +1,542 @@
+// This file is part of Eigen, a lightweight C++ template library
+// for linear algebra.
+//
+// Copyright (C) 2008 Gael Guennebaud <gael.guennebaud@inria.fr>
+//
+// This Source Code Form is subject to the terms of the Mozilla
+// Public License v. 2.0. If a copy of the MPL was not distributed
+// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
+
+#ifndef EIGEN_LLT_H
+#define EIGEN_LLT_H
+
+namespace Eigen {
+
+namespace internal{
+template<typename MatrixType, int UpLo> struct LLT_Traits;
+}
+
+/** \ingroup Cholesky_Module
+  *
+  * \class LLT
+  *
+  * \brief Standard Cholesky decomposition (LL^T) of a matrix and associated features
+  *
+  * \tparam _MatrixType the type of the matrix of which we are computing the LL^T Cholesky decomposition
+  * \tparam _UpLo the triangular part that will be used for the decompositon: Lower (default) or Upper.
+  *               The other triangular part won't be read.
+  *
+  * This class performs a LL^T Cholesky decomposition of a symmetric, positive definite
+  * matrix A such that A = LL^* = U^*U, where L is lower triangular.
+  *
+  * While the Cholesky decomposition is particularly useful to solve selfadjoint problems like  D^*D x = b,
+  * for that purpose, we recommend the Cholesky decomposition without square root which is more stable
+  * and even faster. Nevertheless, this standard Cholesky decomposition remains useful in many other
+  * situations like generalised eigen problems with hermitian matrices.
+  *
+  * Remember that Cholesky decompositions are not rank-revealing. This LLT decomposition is only stable on positive definite matrices,
+  * use LDLT instead for the semidefinite case. Also, do not use a Cholesky decomposition to determine whether a system of equations
+  * has a solution.
+  *
+  * Example: \include LLT_example.cpp
+  * Output: \verbinclude LLT_example.out
+  *
+  * \b Performance: for best performance, it is recommended to use a column-major storage format
+  * with the Lower triangular part (the default), or, equivalently, a row-major storage format
+  * with the Upper triangular part. Otherwise, you might get a 20% slowdown for the full factorization
+  * step, and rank-updates can be up to 3 times slower.
+  *
+  * This class supports the \link InplaceDecomposition inplace decomposition \endlink mechanism.
+  *
+  * Note that during the decomposition, only the lower (or upper, as defined by _UpLo) triangular part of A is considered.
+  * Therefore, the strict lower part does not have to store correct values.
+  *
+  * \sa MatrixBase::llt(), SelfAdjointView::llt(), class LDLT
+  */
+template<typename _MatrixType, int _UpLo> class LLT
+{
+  public:
+    typedef _MatrixType MatrixType;
+    enum {
+      RowsAtCompileTime = MatrixType::RowsAtCompileTime,
+      ColsAtCompileTime = MatrixType::ColsAtCompileTime,
+      MaxColsAtCompileTime = MatrixType::MaxColsAtCompileTime
+    };
+    typedef typename MatrixType::Scalar Scalar;
+    typedef typename NumTraits<typename MatrixType::Scalar>::Real RealScalar;
+    typedef Eigen::Index Index; ///< \deprecated since Eigen 3.3
+    typedef typename MatrixType::StorageIndex StorageIndex;
+
+    enum {
+      PacketSize = internal::packet_traits<Scalar>::size,
+      AlignmentMask = int(PacketSize)-1,
+      UpLo = _UpLo
+    };
+
+    typedef internal::LLT_Traits<MatrixType,UpLo> Traits;
+
+    /**
+      * \brief Default Constructor.
+      *
+      * The default constructor is useful in cases in which the user intends to
+      * perform decompositions via LLT::compute(const MatrixType&).
+      */
+    LLT() : m_matrix(), m_isInitialized(false) {}
+
+    /** \brief Default Constructor with memory preallocation
+      *
+      * Like the default constructor but with preallocation of the internal data
+      * according to the specified problem \a size.
+      * \sa LLT()
+      */
+    explicit LLT(Index size) : m_matrix(size, size),
+                    m_isInitialized(false) {}
+
+    template<typename InputType>
+    explicit LLT(const EigenBase<InputType>& matrix)
+      : m_matrix(matrix.rows(), matrix.cols()),
+        m_isInitialized(false)
+    {
+      compute(matrix.derived());
+    }
+
+    /** \brief Constructs a LDLT factorization from a given matrix
+      *
+      * This overloaded constructor is provided for \link InplaceDecomposition inplace decomposition \endlink when
+      * \c MatrixType is a Eigen::Ref.
+      *
+      * \sa LLT(const EigenBase&)
+      */
+    template<typename InputType>
+    explicit LLT(EigenBase<InputType>& matrix)
+      : m_matrix(matrix.derived()),
+        m_isInitialized(false)
+    {
+      compute(matrix.derived());
+    }
+
+    /** \returns a view of the upper triangular matrix U */
+    inline typename Traits::MatrixU matrixU() const
+    {
+      eigen_assert(m_isInitialized && "LLT is not initialized.");
+      return Traits::getU(m_matrix);
+    }
+
+    /** \returns a view of the lower triangular matrix L */
+    inline typename Traits::MatrixL matrixL() const
+    {
+      eigen_assert(m_isInitialized && "LLT is not initialized.");
+      return Traits::getL(m_matrix);
+    }
+
+    /** \returns the solution x of \f$ A x = b \f$ using the current decomposition of A.
+      *
+      * Since this LLT class assumes anyway that the matrix A is invertible, the solution
+      * theoretically exists and is unique regardless of b.
+      *
+      * Example: \include LLT_solve.cpp
+      * Output: \verbinclude LLT_solve.out
+      *
+      * \sa solveInPlace(), MatrixBase::llt(), SelfAdjointView::llt()
+      */
+    template<typename Rhs>
+    inline const Solve<LLT, Rhs>
+    solve(const MatrixBase<Rhs>& b) const
+    {
+      eigen_assert(m_isInitialized && "LLT is not initialized.");
+      eigen_assert(m_matrix.rows()==b.rows()
+                && "LLT::solve(): invalid number of rows of the right hand side matrix b");
+      return Solve<LLT, Rhs>(*this, b.derived());
+    }
+
+    template<typename Derived>
+    void solveInPlace(const MatrixBase<Derived> &bAndX) const;
+
+    template<typename InputType>
+    LLT& compute(const EigenBase<InputType>& matrix);
+
+    /** \returns an estimate of the reciprocal condition number of the matrix of
+      *  which \c *this is the Cholesky decomposition.
+      */
+    RealScalar rcond() const
+    {
+      eigen_assert(m_isInitialized && "LLT is not initialized.");
+      eigen_assert(m_info == Success && "LLT failed because matrix appears to be negative");
+      return internal::rcond_estimate_helper(m_l1_norm, *this);
+    }
+
+    /** \returns the LLT decomposition matrix
+      *
+      * TODO: document the storage layout
+      */
+    inline const MatrixType& matrixLLT() const
+    {
+      eigen_assert(m_isInitialized && "LLT is not initialized.");
+      return m_matrix;
+    }
+
+    MatrixType reconstructedMatrix() const;
+
+
+    /** \brief Reports whether previous computation was successful.
+      *
+      * \returns \c Success if computation was succesful,
+      *          \c NumericalIssue if the matrix.appears not to be positive definite.
+      */
+    ComputationInfo info() const
+    {
+      eigen_assert(m_isInitialized && "LLT is not initialized.");
+      return m_info;
+    }
+
+    /** \returns the adjoint of \c *this, that is, a const reference to the decomposition itself as the underlying matrix is self-adjoint.
+      *
+      * This method is provided for compatibility with other matrix decompositions, thus enabling generic code such as:
+      * \code x = decomposition.adjoint().solve(b) \endcode
+      */
+    const LLT& adjoint() const { return *this; };
+
+    inline Index rows() const { return m_matrix.rows(); }
+    inline Index cols() const { return m_matrix.cols(); }
+
+    template<typename VectorType>
+    LLT rankUpdate(const VectorType& vec, const RealScalar& sigma = 1);
+
+    #ifndef EIGEN_PARSED_BY_DOXYGEN
+    template<typename RhsType, typename DstType>
+    EIGEN_DEVICE_FUNC
+    void _solve_impl(const RhsType &rhs, DstType &dst) const;
+    #endif
+
+  protected:
+
+    static void check_template_parameters()
+    {
+      EIGEN_STATIC_ASSERT_NON_INTEGER(Scalar);
+    }
+
+    /** \internal
+      * Used to compute and store L
+      * The strict upper part is not used and even not initialized.
+      */
+    MatrixType m_matrix;
+    RealScalar m_l1_norm;
+    bool m_isInitialized;
+    ComputationInfo m_info;
+};
+
+namespace internal {
+
+template<typename Scalar, int UpLo> struct llt_inplace;
+
+template<typename MatrixType, typename VectorType>
+static Index llt_rank_update_lower(MatrixType& mat, const VectorType& vec, const typename MatrixType::RealScalar& sigma)
+{
+  using std::sqrt;
+  typedef typename MatrixType::Scalar Scalar;
+  typedef typename MatrixType::RealScalar RealScalar;
+  typedef typename MatrixType::ColXpr ColXpr;
+  typedef typename internal::remove_all<ColXpr>::type ColXprCleaned;
+  typedef typename ColXprCleaned::SegmentReturnType ColXprSegment;
+  typedef Matrix<Scalar,Dynamic,1> TempVectorType;
+  typedef typename TempVectorType::SegmentReturnType TempVecSegment;
+
+  Index n = mat.cols();
+  eigen_assert(mat.rows()==n && vec.size()==n);
+
+  TempVectorType temp;
+
+  if(sigma>0)
+  {
+    // This version is based on Givens rotations.
+    // It is faster than the other one below, but only works for updates,
+    // i.e., for sigma > 0
+    temp = sqrt(sigma) * vec;
+
+    for(Index i=0; i<n; ++i)
+    {
+      JacobiRotation<Scalar> g;
+      g.makeGivens(mat(i,i), -temp(i), &mat(i,i));
+
+      Index rs = n-i-1;
+      if(rs>0)
+      {
+        ColXprSegment x(mat.col(i).tail(rs));
+        TempVecSegment y(temp.tail(rs));
+        apply_rotation_in_the_plane(x, y, g);
+      }
+    }
+  }
+  else
+  {
+    temp = vec;
+    RealScalar beta = 1;
+    for(Index j=0; j<n; ++j)
+    {
+      RealScalar Ljj = numext::real(mat.coeff(j,j));
+      RealScalar dj = numext::abs2(Ljj);
+      Scalar wj = temp.coeff(j);
+      RealScalar swj2 = sigma*numext::abs2(wj);
+      RealScalar gamma = dj*beta + swj2;
+
+      RealScalar x = dj + swj2/beta;
+      if (x<=RealScalar(0))
+        return j;
+      RealScalar nLjj = sqrt(x);
+      mat.coeffRef(j,j) = nLjj;
+      beta += swj2/dj;
+
+      // Update the terms of L
+      Index rs = n-j-1;
+      if(rs)
+      {
+        temp.tail(rs) -= (wj/Ljj) * mat.col(j).tail(rs);
+        if(gamma != 0)
+          mat.col(j).tail(rs) = (nLjj/Ljj) * mat.col(j).tail(rs) + (nLjj * sigma*numext::conj(wj)/gamma)*temp.tail(rs);
+      }
+    }
+  }
+  return -1;
+}
+
+template<typename Scalar> struct llt_inplace<Scalar, Lower>
+{
+  typedef typename NumTraits<Scalar>::Real RealScalar;
+  template<typename MatrixType>
+  static Index unblocked(MatrixType& mat)
+  {
+    using std::sqrt;
+
+    eigen_assert(mat.rows()==mat.cols());
+    const Index size = mat.rows();
+    for(Index k = 0; k < size; ++k)
+    {
+      Index rs = size-k-1; // remaining size
+
+      Block<MatrixType,Dynamic,1> A21(mat,k+1,k,rs,1);
+      Block<MatrixType,1,Dynamic> A10(mat,k,0,1,k);
+      Block<MatrixType,Dynamic,Dynamic> A20(mat,k+1,0,rs,k);
+
+      RealScalar x = numext::real(mat.coeff(k,k));
+      if (k>0) x -= A10.squaredNorm();
+      if (x<=RealScalar(0))
+        return k;
+      mat.coeffRef(k,k) = x = sqrt(x);
+      if (k>0 && rs>0) A21.noalias() -= A20 * A10.adjoint();
+      if (rs>0) A21 /= x;
+    }
+    return -1;
+  }
+
+  template<typename MatrixType>
+  static Index blocked(MatrixType& m)
+  {
+    eigen_assert(m.rows()==m.cols());
+    Index size = m.rows();
+    if(size<32)
+      return unblocked(m);
+
+    Index blockSize = size/8;
+    blockSize = (blockSize/16)*16;
+    blockSize = (std::min)((std::max)(blockSize,Index(8)), Index(128));
+
+    for (Index k=0; k<size; k+=blockSize)
+    {
+      // partition the matrix:
+      //       A00 |  -  |  -
+      // lu  = A10 | A11 |  -
+      //       A20 | A21 | A22
+      Index bs = (std::min)(blockSize, size-k);
+      Index rs = size - k - bs;
+      Block<MatrixType,Dynamic,Dynamic> A11(m,k,   k,   bs,bs);
+      Block<MatrixType,Dynamic,Dynamic> A21(m,k+bs,k,   rs,bs);
+      Block<MatrixType,Dynamic,Dynamic> A22(m,k+bs,k+bs,rs,rs);
+
+      Index ret;
+      if((ret=unblocked(A11))>=0) return k+ret;
+      if(rs>0) A11.adjoint().template triangularView<Upper>().template solveInPlace<OnTheRight>(A21);
+      if(rs>0) A22.template selfadjointView<Lower>().rankUpdate(A21,typename NumTraits<RealScalar>::Literal(-1)); // bottleneck
+    }
+    return -1;
+  }
+
+  template<typename MatrixType, typename VectorType>
+  static Index rankUpdate(MatrixType& mat, const VectorType& vec, const RealScalar& sigma)
+  {
+    return Eigen::internal::llt_rank_update_lower(mat, vec, sigma);
+  }
+};
+
+template<typename Scalar> struct llt_inplace<Scalar, Upper>
+{
+  typedef typename NumTraits<Scalar>::Real RealScalar;
+
+  template<typename MatrixType>
+  static EIGEN_STRONG_INLINE Index unblocked(MatrixType& mat)
+  {
+    Transpose<MatrixType> matt(mat);
+    return llt_inplace<Scalar, Lower>::unblocked(matt);
+  }
+  template<typename MatrixType>
+  static EIGEN_STRONG_INLINE Index blocked(MatrixType& mat)
+  {
+    Transpose<MatrixType> matt(mat);
+    return llt_inplace<Scalar, Lower>::blocked(matt);
+  }
+  template<typename MatrixType, typename VectorType>
+  static Index rankUpdate(MatrixType& mat, const VectorType& vec, const RealScalar& sigma)
+  {
+    Transpose<MatrixType> matt(mat);
+    return llt_inplace<Scalar, Lower>::rankUpdate(matt, vec.conjugate(), sigma);
+  }
+};
+
+template<typename MatrixType> struct LLT_Traits<MatrixType,Lower>
+{
+  typedef const TriangularView<const MatrixType, Lower> MatrixL;
+  typedef const TriangularView<const typename MatrixType::AdjointReturnType, Upper> MatrixU;
+  static inline MatrixL getL(const MatrixType& m) { return MatrixL(m); }
+  static inline MatrixU getU(const MatrixType& m) { return MatrixU(m.adjoint()); }
+  static bool inplace_decomposition(MatrixType& m)
+  { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
+};
+
+template<typename MatrixType> struct LLT_Traits<MatrixType,Upper>
+{
+  typedef const TriangularView<const typename MatrixType::AdjointReturnType, Lower> MatrixL;
+  typedef const TriangularView<const MatrixType, Upper> MatrixU;
+  static inline MatrixL getL(const MatrixType& m) { return MatrixL(m.adjoint()); }
+  static inline MatrixU getU(const MatrixType& m) { return MatrixU(m); }
+  static bool inplace_decomposition(MatrixType& m)
+  { return llt_inplace<typename MatrixType::Scalar, Upper>::blocked(m)==-1; }
+};
+
+} // end namespace internal
+
+/** Computes / recomputes the Cholesky decomposition A = LL^* = U^*U of \a matrix
+  *
+  * \returns a reference to *this
+  *
+  * Example: \include TutorialLinAlgComputeTwice.cpp
+  * Output: \verbinclude TutorialLinAlgComputeTwice.out
+  */
+template<typename MatrixType, int _UpLo>
+template<typename InputType>
+LLT<MatrixType,_UpLo>& LLT<MatrixType,_UpLo>::compute(const EigenBase<InputType>& a)
+{
+  check_template_parameters();
+
+  eigen_assert(a.rows()==a.cols());
+  const Index size = a.rows();
+  m_matrix.resize(size, size);
+  if (!internal::is_same_dense(m_matrix, a.derived()))
+    m_matrix = a.derived();
+
+  // Compute matrix L1 norm = max abs column sum.
+  m_l1_norm = RealScalar(0);
+  // TODO move this code to SelfAdjointView
+  for (Index col = 0; col < size; ++col) {
+    RealScalar abs_col_sum;
+    if (_UpLo == Lower)
+      abs_col_sum = m_matrix.col(col).tail(size - col).template lpNorm<1>() + m_matrix.row(col).head(col).template lpNorm<1>();
+    else
+      abs_col_sum = m_matrix.col(col).head(col).template lpNorm<1>() + m_matrix.row(col).tail(size - col).template lpNorm<1>();
+    if (abs_col_sum > m_l1_norm)
+      m_l1_norm = abs_col_sum;
+  }
+
+  m_isInitialized = true;
+  bool ok = Traits::inplace_decomposition(m_matrix);
+  m_info = ok ? Success : NumericalIssue;
+
+  return *this;
+}
+
+/** Performs a rank one update (or dowdate) of the current decomposition.
+  * If A = LL^* before the rank one update,
+  * then after it we have LL^* = A + sigma * v v^* where \a v must be a vector
+  * of same dimension.
+  */
+template<typename _MatrixType, int _UpLo>
+template<typename VectorType>
+LLT<_MatrixType,_UpLo> LLT<_MatrixType,_UpLo>::rankUpdate(const VectorType& v, const RealScalar& sigma)
+{
+  EIGEN_STATIC_ASSERT_VECTOR_ONLY(VectorType);
+  eigen_assert(v.size()==m_matrix.cols());
+  eigen_assert(m_isInitialized);
+  if(internal::llt_inplace<typename MatrixType::Scalar, UpLo>::rankUpdate(m_matrix,v,sigma)>=0)
+    m_info = NumericalIssue;
+  else
+    m_info = Success;
+
+  return *this;
+}
+
+#ifndef EIGEN_PARSED_BY_DOXYGEN
+template<typename _MatrixType,int _UpLo>
+template<typename RhsType, typename DstType>
+void LLT<_MatrixType,_UpLo>::_solve_impl(const RhsType &rhs, DstType &dst) const
+{
+  dst = rhs;
+  solveInPlace(dst);
+}
+#endif
+
+/** \internal use x = llt_object.solve(x);
+  *
+  * This is the \em in-place version of solve().
+  *
+  * \param bAndX represents both the right-hand side matrix b and result x.
+  *
+  * This version avoids a copy when the right hand side matrix b is not needed anymore.
+  *
+  * \warning The parameter is only marked 'const' to make the C++ compiler accept a temporary expression here.
+  * This function will const_cast it, so constness isn't honored here.
+  *
+  * \sa LLT::solve(), MatrixBase::llt()
+  */
+template<typename MatrixType, int _UpLo>
+template<typename Derived>
+void LLT<MatrixType,_UpLo>::solveInPlace(const MatrixBase<Derived> &bAndX) const
+{
+  eigen_assert(m_isInitialized && "LLT is not initialized.");
+  eigen_assert(m_matrix.rows()==bAndX.rows());
+  matrixL().solveInPlace(bAndX);
+  matrixU().solveInPlace(bAndX);
+}
+
+/** \returns the matrix represented by the decomposition,
+ * i.e., it returns the product: L L^*.
+ * This function is provided for debug purpose. */
+template<typename MatrixType, int _UpLo>
+MatrixType LLT<MatrixType,_UpLo>::reconstructedMatrix() const
+{
+  eigen_assert(m_isInitialized && "LLT is not initialized.");
+  return matrixL() * matrixL().adjoint().toDenseMatrix();
+}
+
+/** \cholesky_module
+  * \returns the LLT decomposition of \c *this
+  * \sa SelfAdjointView::llt()
+  */
+template<typename Derived>
+inline const LLT<typename MatrixBase<Derived>::PlainObject>
+MatrixBase<Derived>::llt() const
+{
+  return LLT<PlainObject>(derived());
+}
+
+/** \cholesky_module
+  * \returns the LLT decomposition of \c *this
+  * \sa SelfAdjointView::llt()
+  */
+template<typename MatrixType, unsigned int UpLo>
+inline const LLT<typename SelfAdjointView<MatrixType, UpLo>::PlainObject, UpLo>
+SelfAdjointView<MatrixType, UpLo>::llt() const
+{
+  return LLT<PlainObject,UpLo>(m_matrix);
+}
+
+} // end namespace Eigen
+
+#endif // EIGEN_LLT_H
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Cholesky/LLT_LAPACKE.h
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Cholesky/LLT_LAPACKE.h	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Cholesky/LLT_LAPACKE.h	(revision 3761)
@@ -0,0 +1,99 @@
+/*
+ Copyright (c) 2011, Intel Corporation. All rights reserved.
+
+ Redistribution and use in source and binary forms, with or without modification,
+ are permitted provided that the following conditions are met:
+
+ * Redistributions of source code must retain the above copyright notice, this
+   list of conditions and the following disclaimer.
+ * Redistributions in binary form must reproduce the above copyright notice,
+   this list of conditions and the following disclaimer in the documentation
+   and/or other materials provided with the distribution.
+ * Neither the name of Intel Corporation nor the names of its contributors may
+   be used to endorse or promote products derived from this software without
+   specific prior written permission.
+
+ THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND
+ ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED
+ WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
+ DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE LIABLE FOR
+ ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES
+ (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES;
+ LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON
+ ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
+ (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS
+ SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
+
+ ********************************************************************************
+ *   Content : Eigen bindings to LAPACKe
+ *     LLt decomposition based on LAPACKE_?potrf function.
+ ********************************************************************************
+*/
+
+#ifndef EIGEN_LLT_LAPACKE_H
+#define EIGEN_LLT_LAPACKE_H
+
+namespace Eigen { 
+
+namespace internal {
+
+template<typename Scalar> struct lapacke_llt;
+
+#define EIGEN_LAPACKE_LLT(EIGTYPE, BLASTYPE, LAPACKE_PREFIX) \
+template<> struct lapacke_llt<EIGTYPE> \
+{ \
+  template<typename MatrixType> \
+  static inline Index potrf(MatrixType& m, char uplo) \
+  { \
+    lapack_int matrix_order; \
+    lapack_int size, lda, info, StorageOrder; \
+    EIGTYPE* a; \
+    eigen_assert(m.rows()==m.cols()); \
+    /* Set up parameters for ?potrf */ \
+    size = convert_index<lapack_int>(m.rows()); \
+    StorageOrder = MatrixType::Flags&RowMajorBit?RowMajor:ColMajor; \
+    matrix_order = StorageOrder==RowMajor ? LAPACK_ROW_MAJOR : LAPACK_COL_MAJOR; \
+    a = &(m.coeffRef(0,0)); \
+    lda = convert_index<lapack_int>(m.outerStride()); \
+\
+    info = LAPACKE_##LAPACKE_PREFIX##potrf( matrix_order, uplo, size, (BLASTYPE*)a, lda ); \
+    info = (info==0) ? -1 : info>0 ? info-1 : size; \
+    return info; \
+  } \
+}; \
+template<> struct llt_inplace<EIGTYPE, Lower> \
+{ \
+  template<typename MatrixType> \
+  static Index blocked(MatrixType& m) \
+  { \
+    return lapacke_llt<EIGTYPE>::potrf(m, 'L'); \
+  } \
+  template<typename MatrixType, typename VectorType> \
+  static Index rankUpdate(MatrixType& mat, const VectorType& vec, const typename MatrixType::RealScalar& sigma) \
+  { return Eigen::internal::llt_rank_update_lower(mat, vec, sigma); } \
+}; \
+template<> struct llt_inplace<EIGTYPE, Upper> \
+{ \
+  template<typename MatrixType> \
+  static Index blocked(MatrixType& m) \
+  { \
+    return lapacke_llt<EIGTYPE>::potrf(m, 'U'); \
+  } \
+  template<typename MatrixType, typename VectorType> \
+  static Index rankUpdate(MatrixType& mat, const VectorType& vec, const typename MatrixType::RealScalar& sigma) \
+  { \
+    Transpose<MatrixType> matt(mat); \
+    return llt_inplace<EIGTYPE, Lower>::rankUpdate(matt, vec.conjugate(), sigma); \
+  } \
+};
+
+EIGEN_LAPACKE_LLT(double, double, d)
+EIGEN_LAPACKE_LLT(float, float, s)
+EIGEN_LAPACKE_LLT(dcomplex, lapack_complex_double, z)
+EIGEN_LAPACKE_LLT(scomplex, lapack_complex_float, c)
+
+} // end namespace internal
+
+} // end namespace Eigen
+
+#endif // EIGEN_LLT_LAPACKE_H
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h	(revision 3761)
@@ -0,0 +1,470 @@
+// This file is part of Eigen, a lightweight C++ template library
+// for linear algebra.
+//
+// Copyright (C) 2009 Gael Guennebaud <gael.guennebaud@inria.fr>
+// Copyright (C) 2010 Benoit Jacob <jacob.benoit.1@gmail.com>
+//
+// This Source Code Form is subject to the terms of the Mozilla
+// Public License v. 2.0. If a copy of the MPL was not distributed
+// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
+
+#ifndef EIGEN_HOUSEHOLDER_SEQUENCE_H
+#define EIGEN_HOUSEHOLDER_SEQUENCE_H
+
+namespace Eigen { 
+
+/** \ingroup Householder_Module
+  * \householder_module
+  * \class HouseholderSequence
+  * \brief Sequence of Householder reflections acting on subspaces with decreasing size
+  * \tparam VectorsType type of matrix containing the Householder vectors
+  * \tparam CoeffsType  type of vector containing the Householder coefficients
+  * \tparam Side        either OnTheLeft (the default) or OnTheRight
+  *
+  * This class represents a product sequence of Householder reflections where the first Householder reflection
+  * acts on the whole space, the second Householder reflection leaves the one-dimensional subspace spanned by
+  * the first unit vector invariant, the third Householder reflection leaves the two-dimensional subspace
+  * spanned by the first two unit vectors invariant, and so on up to the last reflection which leaves all but
+  * one dimensions invariant and acts only on the last dimension. Such sequences of Householder reflections
+  * are used in several algorithms to zero out certain parts of a matrix. Indeed, the methods
+  * HessenbergDecomposition::matrixQ(), Tridiagonalization::matrixQ(), HouseholderQR::householderQ(),
+  * and ColPivHouseholderQR::householderQ() all return a %HouseholderSequence.
+  *
+  * More precisely, the class %HouseholderSequence represents an \f$ n \times n \f$ matrix \f$ H \f$ of the
+  * form \f$ H = \prod_{i=0}^{n-1} H_i \f$ where the i-th Householder reflection is \f$ H_i = I - h_i v_i
+  * v_i^* \f$. The i-th Householder coefficient \f$ h_i \f$ is a scalar and the i-th Householder vector \f$
+  * v_i \f$ is a vector of the form
+  * \f[ 
+  * v_i = [\underbrace{0, \ldots, 0}_{i-1\mbox{ zeros}}, 1, \underbrace{*, \ldots,*}_{n-i\mbox{ arbitrary entries}} ]. 
+  * \f]
+  * The last \f$ n-i \f$ entries of \f$ v_i \f$ are called the essential part of the Householder vector.
+  *
+  * Typical usages are listed below, where H is a HouseholderSequence:
+  * \code
+  * A.applyOnTheRight(H);             // A = A * H
+  * A.applyOnTheLeft(H);              // A = H * A
+  * A.applyOnTheRight(H.adjoint());   // A = A * H^*
+  * A.applyOnTheLeft(H.adjoint());    // A = H^* * A
+  * MatrixXd Q = H;                   // conversion to a dense matrix
+  * \endcode
+  * In addition to the adjoint, you can also apply the inverse (=adjoint), the transpose, and the conjugate operators.
+  *
+  * See the documentation for HouseholderSequence(const VectorsType&, const CoeffsType&) for an example.
+  *
+  * \sa MatrixBase::applyOnTheLeft(), MatrixBase::applyOnTheRight()
+  */
+
+namespace internal {
+
+template<typename VectorsType, typename CoeffsType, int Side>
+struct traits<HouseholderSequence<VectorsType,CoeffsType,Side> >
+{
+  typedef typename VectorsType::Scalar Scalar;
+  typedef typename VectorsType::StorageIndex StorageIndex;
+  typedef typename VectorsType::StorageKind StorageKind;
+  enum {
+    RowsAtCompileTime = Side==OnTheLeft ? traits<VectorsType>::RowsAtCompileTime
+                                        : traits<VectorsType>::ColsAtCompileTime,
+    ColsAtCompileTime = RowsAtCompileTime,
+    MaxRowsAtCompileTime = Side==OnTheLeft ? traits<VectorsType>::MaxRowsAtCompileTime
+                                           : traits<VectorsType>::MaxColsAtCompileTime,
+    MaxColsAtCompileTime = MaxRowsAtCompileTime,
+    Flags = 0
+  };
+};
+
+struct HouseholderSequenceShape {};
+
+template<typename VectorsType, typename CoeffsType, int Side>
+struct evaluator_traits<HouseholderSequence<VectorsType,CoeffsType,Side> >
+  : public evaluator_traits_base<HouseholderSequence<VectorsType,CoeffsType,Side> >
+{
+  typedef HouseholderSequenceShape Shape;
+};
+
+template<typename VectorsType, typename CoeffsType, int Side>
+struct hseq_side_dependent_impl
+{
+  typedef Block<const VectorsType, Dynamic, 1> EssentialVectorType;
+  typedef HouseholderSequence<VectorsType, CoeffsType, OnTheLeft> HouseholderSequenceType;
+  static inline const EssentialVectorType essentialVector(const HouseholderSequenceType& h, Index k)
+  {
+    Index start = k+1+h.m_shift;
+    return Block<const VectorsType,Dynamic,1>(h.m_vectors, start, k, h.rows()-start, 1);
+  }
+};
+
+template<typename VectorsType, typename CoeffsType>
+struct hseq_side_dependent_impl<VectorsType, CoeffsType, OnTheRight>
+{
+  typedef Transpose<Block<const VectorsType, 1, Dynamic> > EssentialVectorType;
+  typedef HouseholderSequence<VectorsType, CoeffsType, OnTheRight> HouseholderSequenceType;
+  static inline const EssentialVectorType essentialVector(const HouseholderSequenceType& h, Index k)
+  {
+    Index start = k+1+h.m_shift;
+    return Block<const VectorsType,1,Dynamic>(h.m_vectors, k, start, 1, h.rows()-start).transpose();
+  }
+};
+
+template<typename OtherScalarType, typename MatrixType> struct matrix_type_times_scalar_type
+{
+  typedef typename ScalarBinaryOpTraits<OtherScalarType, typename MatrixType::Scalar>::ReturnType
+    ResultScalar;
+  typedef Matrix<ResultScalar, MatrixType::RowsAtCompileTime, MatrixType::ColsAtCompileTime,
+                 0, MatrixType::MaxRowsAtCompileTime, MatrixType::MaxColsAtCompileTime> Type;
+};
+
+} // end namespace internal
+
+template<typename VectorsType, typename CoeffsType, int Side> class HouseholderSequence
+  : public EigenBase<HouseholderSequence<VectorsType,CoeffsType,Side> >
+{
+    typedef typename internal::hseq_side_dependent_impl<VectorsType,CoeffsType,Side>::EssentialVectorType EssentialVectorType;
+  
+  public:
+    enum {
+      RowsAtCompileTime = internal::traits<HouseholderSequence>::RowsAtCompileTime,
+      ColsAtCompileTime = internal::traits<HouseholderSequence>::ColsAtCompileTime,
+      MaxRowsAtCompileTime = internal::traits<HouseholderSequence>::MaxRowsAtCompileTime,
+      MaxColsAtCompileTime = internal::traits<HouseholderSequence>::MaxColsAtCompileTime
+    };
+    typedef typename internal::traits<HouseholderSequence>::Scalar Scalar;
+
+    typedef HouseholderSequence<
+      typename internal::conditional<NumTraits<Scalar>::IsComplex,
+        typename internal::remove_all<typename VectorsType::ConjugateReturnType>::type,
+        VectorsType>::type,
+      typename internal::conditional<NumTraits<Scalar>::IsComplex,
+        typename internal::remove_all<typename CoeffsType::ConjugateReturnType>::type,
+        CoeffsType>::type,
+      Side
+    > ConjugateReturnType;
+
+    /** \brief Constructor.
+      * \param[in]  v      %Matrix containing the essential parts of the Householder vectors
+      * \param[in]  h      Vector containing the Householder coefficients
+      *
+      * Constructs the Householder sequence with coefficients given by \p h and vectors given by \p v. The
+      * i-th Householder coefficient \f$ h_i \f$ is given by \p h(i) and the essential part of the i-th
+      * Householder vector \f$ v_i \f$ is given by \p v(k,i) with \p k > \p i (the subdiagonal part of the
+      * i-th column). If \p v has fewer columns than rows, then the Householder sequence contains as many
+      * Householder reflections as there are columns.
+      *
+      * \note The %HouseholderSequence object stores \p v and \p h by reference.
+      *
+      * Example: \include HouseholderSequence_HouseholderSequence.cpp
+      * Output: \verbinclude HouseholderSequence_HouseholderSequence.out
+      *
+      * \sa setLength(), setShift()
+      */
+    HouseholderSequence(const VectorsType& v, const CoeffsType& h)
+      : m_vectors(v), m_coeffs(h), m_trans(false), m_length(v.diagonalSize()),
+        m_shift(0)
+    {
+    }
+
+    /** \brief Copy constructor. */
+    HouseholderSequence(const HouseholderSequence& other)
+      : m_vectors(other.m_vectors),
+        m_coeffs(other.m_coeffs),
+        m_trans(other.m_trans),
+        m_length(other.m_length),
+        m_shift(other.m_shift)
+    {
+    }
+
+    /** \brief Number of rows of transformation viewed as a matrix.
+      * \returns Number of rows 
+      * \details This equals the dimension of the space that the transformation acts on.
+      */
+    Index rows() const { return Side==OnTheLeft ? m_vectors.rows() : m_vectors.cols(); }
+
+    /** \brief Number of columns of transformation viewed as a matrix.
+      * \returns Number of columns
+      * \details This equals the dimension of the space that the transformation acts on.
+      */
+    Index cols() const { return rows(); }
+
+    /** \brief Essential part of a Householder vector.
+      * \param[in]  k  Index of Householder reflection
+      * \returns    Vector containing non-trivial entries of k-th Householder vector
+      *
+      * This function returns the essential part of the Householder vector \f$ v_i \f$. This is a vector of
+      * length \f$ n-i \f$ containing the last \f$ n-i \f$ entries of the vector
+      * \f[ 
+      * v_i = [\underbrace{0, \ldots, 0}_{i-1\mbox{ zeros}}, 1, \underbrace{*, \ldots,*}_{n-i\mbox{ arbitrary entries}} ]. 
+      * \f]
+      * The index \f$ i \f$ equals \p k + shift(), corresponding to the k-th column of the matrix \p v
+      * passed to the constructor.
+      *
+      * \sa setShift(), shift()
+      */
+    const EssentialVectorType essentialVector(Index k) const
+    {
+      eigen_assert(k >= 0 && k < m_length);
+      return internal::hseq_side_dependent_impl<VectorsType,CoeffsType,Side>::essentialVector(*this, k);
+    }
+
+    /** \brief %Transpose of the Householder sequence. */
+    HouseholderSequence transpose() const
+    {
+      return HouseholderSequence(*this).setTrans(!m_trans);
+    }
+
+    /** \brief Complex conjugate of the Householder sequence. */
+    ConjugateReturnType conjugate() const
+    {
+      return ConjugateReturnType(m_vectors.conjugate(), m_coeffs.conjugate())
+             .setTrans(m_trans)
+             .setLength(m_length)
+             .setShift(m_shift);
+    }
+
+    /** \brief Adjoint (conjugate transpose) of the Householder sequence. */
+    ConjugateReturnType adjoint() const
+    {
+      return conjugate().setTrans(!m_trans);
+    }
+
+    /** \brief Inverse of the Householder sequence (equals the adjoint). */
+    ConjugateReturnType inverse() const { return adjoint(); }
+
+    /** \internal */
+    template<typename DestType> inline void evalTo(DestType& dst) const
+    {
+      Matrix<Scalar, DestType::RowsAtCompileTime, 1,
+             AutoAlign|ColMajor, DestType::MaxRowsAtCompileTime, 1> workspace(rows());
+      evalTo(dst, workspace);
+    }
+
+    /** \internal */
+    template<typename Dest, typename Workspace>
+    void evalTo(Dest& dst, Workspace& workspace) const
+    {
+      workspace.resize(rows());
+      Index vecs = m_length;
+      if(internal::is_same_dense(dst,m_vectors))
+      {
+        // in-place
+        dst.diagonal().setOnes();
+        dst.template triangularView<StrictlyUpper>().setZero();
+        for(Index k = vecs-1; k >= 0; --k)
+        {
+          Index cornerSize = rows() - k - m_shift;
+          if(m_trans)
+            dst.bottomRightCorner(cornerSize, cornerSize)
+               .applyHouseholderOnTheRight(essentialVector(k), m_coeffs.coeff(k), workspace.data());
+          else
+            dst.bottomRightCorner(cornerSize, cornerSize)
+               .applyHouseholderOnTheLeft(essentialVector(k), m_coeffs.coeff(k), workspace.data());
+
+          // clear the off diagonal vector
+          dst.col(k).tail(rows()-k-1).setZero();
+        }
+        // clear the remaining columns if needed
+        for(Index k = 0; k<cols()-vecs ; ++k)
+          dst.col(k).tail(rows()-k-1).setZero();
+      }
+      else
+      {
+        dst.setIdentity(rows(), rows());
+        for(Index k = vecs-1; k >= 0; --k)
+        {
+          Index cornerSize = rows() - k - m_shift;
+          if(m_trans)
+            dst.bottomRightCorner(cornerSize, cornerSize)
+               .applyHouseholderOnTheRight(essentialVector(k), m_coeffs.coeff(k), &workspace.coeffRef(0));
+          else
+            dst.bottomRightCorner(cornerSize, cornerSize)
+               .applyHouseholderOnTheLeft(essentialVector(k), m_coeffs.coeff(k), &workspace.coeffRef(0));
+        }
+      }
+    }
+
+    /** \internal */
+    template<typename Dest> inline void applyThisOnTheRight(Dest& dst) const
+    {
+      Matrix<Scalar,1,Dest::RowsAtCompileTime,RowMajor,1,Dest::MaxRowsAtCompileTime> workspace(dst.rows());
+      applyThisOnTheRight(dst, workspace);
+    }
+
+    /** \internal */
+    template<typename Dest, typename Workspace>
+    inline void applyThisOnTheRight(Dest& dst, Workspace& workspace) const
+    {
+      workspace.resize(dst.rows());
+      for(Index k = 0; k < m_length; ++k)
+      {
+        Index actual_k = m_trans ? m_length-k-1 : k;
+        dst.rightCols(rows()-m_shift-actual_k)
+           .applyHouseholderOnTheRight(essentialVector(actual_k), m_coeffs.coeff(actual_k), workspace.data());
+      }
+    }
+
+    /** \internal */
+    template<typename Dest> inline void applyThisOnTheLeft(Dest& dst) const
+    {
+      Matrix<Scalar,1,Dest::ColsAtCompileTime,RowMajor,1,Dest::MaxColsAtCompileTime> workspace;
+      applyThisOnTheLeft(dst, workspace);
+    }
+
+    /** \internal */
+    template<typename Dest, typename Workspace>
+    inline void applyThisOnTheLeft(Dest& dst, Workspace& workspace) const
+    {
+      const Index BlockSize = 48;
+      // if the entries are large enough, then apply the reflectors by block
+      if(m_length>=BlockSize && dst.cols()>1)
+      {
+        for(Index i = 0; i < m_length; i+=BlockSize)
+        {
+          Index end = m_trans ? (std::min)(m_length,i+BlockSize) : m_length-i;
+          Index k = m_trans ? i : (std::max)(Index(0),end-BlockSize);
+          Index bs = end-k;
+          Index start = k + m_shift;
+          
+          typedef Block<typename internal::remove_all<VectorsType>::type,Dynamic,Dynamic> SubVectorsType;
+          SubVectorsType sub_vecs1(m_vectors.const_cast_derived(), Side==OnTheRight ? k : start,
+                                                                   Side==OnTheRight ? start : k,
+                                                                   Side==OnTheRight ? bs : m_vectors.rows()-start,
+                                                                   Side==OnTheRight ? m_vectors.cols()-start : bs);
+          typename internal::conditional<Side==OnTheRight, Transpose<SubVectorsType>, SubVectorsType&>::type sub_vecs(sub_vecs1);
+          Block<Dest,Dynamic,Dynamic> sub_dst(dst,dst.rows()-rows()+m_shift+k,0, rows()-m_shift-k,dst.cols());
+          apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_trans);
+        }
+      }
+      else
+      {
+        workspace.resize(dst.cols());
+        for(Index k = 0; k < m_length; ++k)
+        {
+          Index actual_k = m_trans ? k : m_length-k-1;
+          dst.bottomRows(rows()-m_shift-actual_k)
+            .applyHouseholderOnTheLeft(essentialVector(actual_k), m_coeffs.coeff(actual_k), workspace.data());
+        }
+      }
+    }
+
+    /** \brief Computes the product of a Householder sequence with a matrix.
+      * \param[in]  other  %Matrix being multiplied.
+      * \returns    Expression object representing the product.
+      *
+      * This function computes \f$ HM \f$ where \f$ H \f$ is the Householder sequence represented by \p *this
+      * and \f$ M \f$ is the matrix \p other.
+      */
+    template<typename OtherDerived>
+    typename internal::matrix_type_times_scalar_type<Scalar, OtherDerived>::Type operator*(const MatrixBase<OtherDerived>& other) const
+    {
+      typename internal::matrix_type_times_scalar_type<Scalar, OtherDerived>::Type
+        res(other.template cast<typename internal::matrix_type_times_scalar_type<Scalar,OtherDerived>::ResultScalar>());
+      applyThisOnTheLeft(res);
+      return res;
+    }
+
+    template<typename _VectorsType, typename _CoeffsType, int _Side> friend struct internal::hseq_side_dependent_impl;
+
+    /** \brief Sets the length of the Householder sequence.
+      * \param [in]  length  New value for the length.
+      *
+      * By default, the length \f$ n \f$ of the Householder sequence \f$ H = H_0 H_1 \ldots H_{n-1} \f$ is set
+      * to the number of columns of the matrix \p v passed to the constructor, or the number of rows if that
+      * is smaller. After this function is called, the length equals \p length.
+      *
+      * \sa length()
+      */
+    HouseholderSequence& setLength(Index length)
+    {
+      m_length = length;
+      return *this;
+    }
+
+    /** \brief Sets the shift of the Householder sequence.
+      * \param [in]  shift  New value for the shift.
+      *
+      * By default, a %HouseholderSequence object represents \f$ H = H_0 H_1 \ldots H_{n-1} \f$ and the i-th
+      * column of the matrix \p v passed to the constructor corresponds to the i-th Householder
+      * reflection. After this function is called, the object represents \f$ H = H_{\mathrm{shift}}
+      * H_{\mathrm{shift}+1} \ldots H_{n-1} \f$ and the i-th column of \p v corresponds to the (shift+i)-th
+      * Householder reflection.
+      *
+      * \sa shift()
+      */
+    HouseholderSequence& setShift(Index shift)
+    {
+      m_shift = shift;
+      return *this;
+    }
+
+    Index length() const { return m_length; }  /**< \brief Returns the length of the Householder sequence. */
+    Index shift() const { return m_shift; }    /**< \brief Returns the shift of the Householder sequence. */
+
+    /* Necessary for .adjoint() and .conjugate() */
+    template <typename VectorsType2, typename CoeffsType2, int Side2> friend class HouseholderSequence;
+
+  protected:
+
+    /** \brief Sets the transpose flag.
+      * \param [in]  trans  New value of the transpose flag.
+      *
+      * By default, the transpose flag is not set. If the transpose flag is set, then this object represents 
+      * \f$ H^T = H_{n-1}^T \ldots H_1^T H_0^T \f$ instead of \f$ H = H_0 H_1 \ldots H_{n-1} \f$.
+      *
+      * \sa trans()
+      */
+    HouseholderSequence& setTrans(bool trans)
+    {
+      m_trans = trans;
+      return *this;
+    }
+
+    bool trans() const { return m_trans; }     /**< \brief Returns the transpose flag. */
+
+    typename VectorsType::Nested m_vectors;
+    typename CoeffsType::Nested m_coeffs;
+    bool m_trans;
+    Index m_length;
+    Index m_shift;
+};
+
+/** \brief Computes the product of a matrix with a Householder sequence.
+  * \param[in]  other  %Matrix being multiplied.
+  * \param[in]  h      %HouseholderSequence being multiplied.
+  * \returns    Expression object representing the product.
+  *
+  * This function computes \f$ MH \f$ where \f$ M \f$ is the matrix \p other and \f$ H \f$ is the
+  * Householder sequence represented by \p h.
+  */
+template<typename OtherDerived, typename VectorsType, typename CoeffsType, int Side>
+typename internal::matrix_type_times_scalar_type<typename VectorsType::Scalar,OtherDerived>::Type operator*(const MatrixBase<OtherDerived>& other, const HouseholderSequence<VectorsType,CoeffsType,Side>& h)
+{
+  typename internal::matrix_type_times_scalar_type<typename VectorsType::Scalar,OtherDerived>::Type
+    res(other.template cast<typename internal::matrix_type_times_scalar_type<typename VectorsType::Scalar,OtherDerived>::ResultScalar>());
+  h.applyThisOnTheRight(res);
+  return res;
+}
+
+/** \ingroup Householder_Module \householder_module
+  * \brief Convenience function for constructing a Householder sequence. 
+  * \returns A HouseholderSequence constructed from the specified arguments.
+  */
+template<typename VectorsType, typename CoeffsType>
+HouseholderSequence<VectorsType,CoeffsType> householderSequence(const VectorsType& v, const CoeffsType& h)
+{
+  return HouseholderSequence<VectorsType,CoeffsType,OnTheLeft>(v, h);
+}
+
+/** \ingroup Householder_Module \householder_module
+  * \brief Convenience function for constructing a Householder sequence. 
+  * \returns A HouseholderSequence constructed from the specified arguments.
+  * \details This function differs from householderSequence() in that the template argument \p OnTheSide of
+  * the constructed HouseholderSequence is set to OnTheRight, instead of the default OnTheLeft.
+  */
+template<typename VectorsType, typename CoeffsType>
+HouseholderSequence<VectorsType,CoeffsType,OnTheRight> rightHouseholderSequence(const VectorsType& v, const CoeffsType& h)
+{
+  return HouseholderSequence<VectorsType,CoeffsType,OnTheRight>(v, h);
+}
+
+} // end namespace Eigen
+
+#endif // EIGEN_HOUSEHOLDER_SEQUENCE_H
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h	(revision 3761)
@@ -0,0 +1,103 @@
+// This file is part of Eigen, a lightweight C++ template library
+// for linear algebra.
+//
+// Copyright (C) 2010 Vincent Lejeune
+// Copyright (C) 2010 Gael Guennebaud <gael.guennebaud@inria.fr>
+//
+// This Source Code Form is subject to the terms of the Mozilla
+// Public License v. 2.0. If a copy of the MPL was not distributed
+// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
+
+#ifndef EIGEN_BLOCK_HOUSEHOLDER_H
+#define EIGEN_BLOCK_HOUSEHOLDER_H
+
+// This file contains some helper function to deal with block householder reflectors
+
+namespace Eigen { 
+
+namespace internal {
+  
+/** \internal */
+// template<typename TriangularFactorType,typename VectorsType,typename CoeffsType>
+// void make_block_householder_triangular_factor(TriangularFactorType& triFactor, const VectorsType& vectors, const CoeffsType& hCoeffs)
+// {
+//   typedef typename VectorsType::Scalar Scalar;
+//   const Index nbVecs = vectors.cols();
+//   eigen_assert(triFactor.rows() == nbVecs && triFactor.cols() == nbVecs && vectors.rows()>=nbVecs);
+// 
+//   for(Index i = 0; i < nbVecs; i++)
+//   {
+//     Index rs = vectors.rows() - i;
+//     // Warning, note that hCoeffs may alias with vectors.
+//     // It is then necessary to copy it before modifying vectors(i,i). 
+//     typename CoeffsType::Scalar h = hCoeffs(i);
+//     // This hack permits to pass trough nested Block<> and Transpose<> expressions.
+//     Scalar *Vii_ptr = const_cast<Scalar*>(vectors.data() + vectors.outerStride()*i + vectors.innerStride()*i);
+//     Scalar Vii = *Vii_ptr;
+//     *Vii_ptr = Scalar(1);
+//     triFactor.col(i).head(i).noalias() = -h * vectors.block(i, 0, rs, i).adjoint()
+//                                        * vectors.col(i).tail(rs);
+//     *Vii_ptr = Vii;
+//     // FIXME add .noalias() once the triangular product can work inplace
+//     triFactor.col(i).head(i) = triFactor.block(0,0,i,i).template triangularView<Upper>()
+//                              * triFactor.col(i).head(i);
+//     triFactor(i,i) = hCoeffs(i);
+//   }
+// }
+
+/** \internal */
+// This variant avoid modifications in vectors
+template<typename TriangularFactorType,typename VectorsType,typename CoeffsType>
+void make_block_householder_triangular_factor(TriangularFactorType& triFactor, const VectorsType& vectors, const CoeffsType& hCoeffs)
+{
+  const Index nbVecs = vectors.cols();
+  eigen_assert(triFactor.rows() == nbVecs && triFactor.cols() == nbVecs && vectors.rows()>=nbVecs);
+
+  for(Index i = nbVecs-1; i >=0 ; --i)
+  {
+    Index rs = vectors.rows() - i - 1;
+    Index rt = nbVecs-i-1;
+
+    if(rt>0)
+    {
+      triFactor.row(i).tail(rt).noalias() = -hCoeffs(i) * vectors.col(i).tail(rs).adjoint()
+                                                        * vectors.bottomRightCorner(rs, rt).template triangularView<UnitLower>();
+            
+      // FIXME add .noalias() once the triangular product can work inplace
+      triFactor.row(i).tail(rt) = triFactor.row(i).tail(rt) * triFactor.bottomRightCorner(rt,rt).template triangularView<Upper>();
+      
+    }
+    triFactor(i,i) = hCoeffs(i);
+  }
+}
+
+/** \internal
+  * if forward then perform   mat = H0 * H1 * H2 * mat
+  * otherwise perform         mat = H2 * H1 * H0 * mat
+  */
+template<typename MatrixType,typename VectorsType,typename CoeffsType>
+void apply_block_householder_on_the_left(MatrixType& mat, const VectorsType& vectors, const CoeffsType& hCoeffs, bool forward)
+{
+  enum { TFactorSize = MatrixType::ColsAtCompileTime };
+  Index nbVecs = vectors.cols();
+  Matrix<typename MatrixType::Scalar, TFactorSize, TFactorSize, RowMajor> T(nbVecs,nbVecs);
+  
+  if(forward) make_block_householder_triangular_factor(T, vectors, hCoeffs);
+  else        make_block_householder_triangular_factor(T, vectors, hCoeffs.conjugate());  
+  const TriangularView<const VectorsType, UnitLower> V(vectors);
+
+  // A -= V T V^* A
+  Matrix<typename MatrixType::Scalar,VectorsType::ColsAtCompileTime,MatrixType::ColsAtCompileTime,
+         (VectorsType::MaxColsAtCompileTime==1 && MatrixType::MaxColsAtCompileTime!=1)?RowMajor:ColMajor,
+         VectorsType::MaxColsAtCompileTime,MatrixType::MaxColsAtCompileTime> tmp = V.adjoint() * mat;
+  // FIXME add .noalias() once the triangular product can work inplace
+  if(forward) tmp = T.template triangularView<Upper>()           * tmp;
+  else        tmp = T.template triangularView<Upper>().adjoint() * tmp;
+  mat.noalias() -= V * tmp;
+}
+
+} // end namespace internal
+
+} // end namespace Eigen
+
+#endif // EIGEN_BLOCK_HOUSEHOLDER_H
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Householder/Householder.h
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Householder/Householder.h	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Householder/Householder.h	(revision 3761)
@@ -0,0 +1,172 @@
+// This file is part of Eigen, a lightweight C++ template library
+// for linear algebra.
+//
+// Copyright (C) 2010 Benoit Jacob <jacob.benoit.1@gmail.com>
+// Copyright (C) 2009 Gael Guennebaud <gael.guennebaud@inria.fr>
+//
+// This Source Code Form is subject to the terms of the Mozilla
+// Public License v. 2.0. If a copy of the MPL was not distributed
+// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
+
+#ifndef EIGEN_HOUSEHOLDER_H
+#define EIGEN_HOUSEHOLDER_H
+
+namespace Eigen { 
+
+namespace internal {
+template<int n> struct decrement_size
+{
+  enum {
+    ret = n==Dynamic ? n : n-1
+  };
+};
+}
+
+/** Computes the elementary reflector H such that:
+  * \f$ H *this = [ beta 0 ... 0]^T \f$
+  * where the transformation H is:
+  * \f$ H = I - tau v v^*\f$
+  * and the vector v is:
+  * \f$ v^T = [1 essential^T] \f$
+  *
+  * The essential part of the vector \c v is stored in *this.
+  * 
+  * On output:
+  * \param tau the scaling factor of the Householder transformation
+  * \param beta the result of H * \c *this
+  *
+  * \sa MatrixBase::makeHouseholder(), MatrixBase::applyHouseholderOnTheLeft(),
+  *     MatrixBase::applyHouseholderOnTheRight()
+  */
+template<typename Derived>
+void MatrixBase<Derived>::makeHouseholderInPlace(Scalar& tau, RealScalar& beta)
+{
+  VectorBlock<Derived, internal::decrement_size<Base::SizeAtCompileTime>::ret> essentialPart(derived(), 1, size()-1);
+  makeHouseholder(essentialPart, tau, beta);
+}
+
+/** Computes the elementary reflector H such that:
+  * \f$ H *this = [ beta 0 ... 0]^T \f$
+  * where the transformation H is:
+  * \f$ H = I - tau v v^*\f$
+  * and the vector v is:
+  * \f$ v^T = [1 essential^T] \f$
+  *
+  * On output:
+  * \param essential the essential part of the vector \c v
+  * \param tau the scaling factor of the Householder transformation
+  * \param beta the result of H * \c *this
+  *
+  * \sa MatrixBase::makeHouseholderInPlace(), MatrixBase::applyHouseholderOnTheLeft(),
+  *     MatrixBase::applyHouseholderOnTheRight()
+  */
+template<typename Derived>
+template<typename EssentialPart>
+void MatrixBase<Derived>::makeHouseholder(
+  EssentialPart& essential,
+  Scalar& tau,
+  RealScalar& beta) const
+{
+  using std::sqrt;
+  using numext::conj;
+  
+  EIGEN_STATIC_ASSERT_VECTOR_ONLY(EssentialPart)
+  VectorBlock<const Derived, EssentialPart::SizeAtCompileTime> tail(derived(), 1, size()-1);
+  
+  RealScalar tailSqNorm = size()==1 ? RealScalar(0) : tail.squaredNorm();
+  Scalar c0 = coeff(0);
+  const RealScalar tol = (std::numeric_limits<RealScalar>::min)();
+
+  if(tailSqNorm <= tol && numext::abs2(numext::imag(c0))<=tol)
+  {
+    tau = RealScalar(0);
+    beta = numext::real(c0);
+    essential.setZero();
+  }
+  else
+  {
+    beta = sqrt(numext::abs2(c0) + tailSqNorm);
+    if (numext::real(c0)>=RealScalar(0))
+      beta = -beta;
+    essential = tail / (c0 - beta);
+    tau = conj((beta - c0) / beta);
+  }
+}
+
+/** Apply the elementary reflector H given by
+  * \f$ H = I - tau v v^*\f$
+  * with
+  * \f$ v^T = [1 essential^T] \f$
+  * from the left to a vector or matrix.
+  *
+  * On input:
+  * \param essential the essential part of the vector \c v
+  * \param tau the scaling factor of the Householder transformation
+  * \param workspace a pointer to working space with at least
+  *                  this->cols() * essential.size() entries
+  *
+  * \sa MatrixBase::makeHouseholder(), MatrixBase::makeHouseholderInPlace(), 
+  *     MatrixBase::applyHouseholderOnTheRight()
+  */
+template<typename Derived>
+template<typename EssentialPart>
+void MatrixBase<Derived>::applyHouseholderOnTheLeft(
+  const EssentialPart& essential,
+  const Scalar& tau,
+  Scalar* workspace)
+{
+  if(rows() == 1)
+  {
+    *this *= Scalar(1)-tau;
+  }
+  else if(tau!=Scalar(0))
+  {
+    Map<typename internal::plain_row_type<PlainObject>::type> tmp(workspace,cols());
+    Block<Derived, EssentialPart::SizeAtCompileTime, Derived::ColsAtCompileTime> bottom(derived(), 1, 0, rows()-1, cols());
+    tmp.noalias() = essential.adjoint() * bottom;
+    tmp += this->row(0);
+    this->row(0) -= tau * tmp;
+    bottom.noalias() -= tau * essential * tmp;
+  }
+}
+
+/** Apply the elementary reflector H given by
+  * \f$ H = I - tau v v^*\f$
+  * with
+  * \f$ v^T = [1 essential^T] \f$
+  * from the right to a vector or matrix.
+  *
+  * On input:
+  * \param essential the essential part of the vector \c v
+  * \param tau the scaling factor of the Householder transformation
+  * \param workspace a pointer to working space with at least
+  *                  this->cols() * essential.size() entries
+  *
+  * \sa MatrixBase::makeHouseholder(), MatrixBase::makeHouseholderInPlace(), 
+  *     MatrixBase::applyHouseholderOnTheLeft()
+  */
+template<typename Derived>
+template<typename EssentialPart>
+void MatrixBase<Derived>::applyHouseholderOnTheRight(
+  const EssentialPart& essential,
+  const Scalar& tau,
+  Scalar* workspace)
+{
+  if(cols() == 1)
+  {
+    *this *= Scalar(1)-tau;
+  }
+  else if(tau!=Scalar(0))
+  {
+    Map<typename internal::plain_col_type<PlainObject>::type> tmp(workspace,rows());
+    Block<Derived, Derived::RowsAtCompileTime, EssentialPart::SizeAtCompileTime> right(derived(), 0, 1, rows(), cols()-1);
+    tmp.noalias() = right * essential.conjugate();
+    tmp += this->col(0);
+    this->col(0) -= tau * tmp;
+    right.noalias() -= tau * tmp * essential.transpose();
+  }
+}
+
+} // end namespace Eigen
+
+#endif // EIGEN_HOUSEHOLDER_H
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/CholmodSupport/CholmodSupport.h
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/CholmodSupport/CholmodSupport.h	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/CholmodSupport/CholmodSupport.h	(revision 3761)
@@ -0,0 +1,639 @@
+// This file is part of Eigen, a lightweight C++ template library
+// for linear algebra.
+//
+// Copyright (C) 2008-2010 Gael Guennebaud <gael.guennebaud@inria.fr>
+//
+// This Source Code Form is subject to the terms of the Mozilla
+// Public License v. 2.0. If a copy of the MPL was not distributed
+// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
+
+#ifndef EIGEN_CHOLMODSUPPORT_H
+#define EIGEN_CHOLMODSUPPORT_H
+
+namespace Eigen { 
+
+namespace internal {
+
+template<typename Scalar> struct cholmod_configure_matrix;
+
+template<> struct cholmod_configure_matrix<double> {
+  template<typename CholmodType>
+  static void run(CholmodType& mat) {
+    mat.xtype = CHOLMOD_REAL;
+    mat.dtype = CHOLMOD_DOUBLE;
+  }
+};
+
+template<> struct cholmod_configure_matrix<std::complex<double> > {
+  template<typename CholmodType>
+  static void run(CholmodType& mat) {
+    mat.xtype = CHOLMOD_COMPLEX;
+    mat.dtype = CHOLMOD_DOUBLE;
+  }
+};
+
+// Other scalar types are not yet suppotred by Cholmod
+// template<> struct cholmod_configure_matrix<float> {
+//   template<typename CholmodType>
+//   static void run(CholmodType& mat) {
+//     mat.xtype = CHOLMOD_REAL;
+//     mat.dtype = CHOLMOD_SINGLE;
+//   }
+// };
+//
+// template<> struct cholmod_configure_matrix<std::complex<float> > {
+//   template<typename CholmodType>
+//   static void run(CholmodType& mat) {
+//     mat.xtype = CHOLMOD_COMPLEX;
+//     mat.dtype = CHOLMOD_SINGLE;
+//   }
+// };
+
+} // namespace internal
+
+/** Wraps the Eigen sparse matrix \a mat into a Cholmod sparse matrix object.
+  * Note that the data are shared.
+  */
+template<typename _Scalar, int _Options, typename _StorageIndex>
+cholmod_sparse viewAsCholmod(Ref<SparseMatrix<_Scalar,_Options,_StorageIndex> > mat)
+{
+  cholmod_sparse res;
+  res.nzmax   = mat.nonZeros();
+  res.nrow    = mat.rows();
+  res.ncol    = mat.cols();
+  res.p       = mat.outerIndexPtr();
+  res.i       = mat.innerIndexPtr();
+  res.x       = mat.valuePtr();
+  res.z       = 0;
+  res.sorted  = 1;
+  if(mat.isCompressed())
+  {
+    res.packed  = 1;
+    res.nz = 0;
+  }
+  else
+  {
+    res.packed  = 0;
+    res.nz = mat.innerNonZeroPtr();
+  }
+
+  res.dtype   = 0;
+  res.stype   = -1;
+  
+  if (internal::is_same<_StorageIndex,int>::value)
+  {
+    res.itype = CHOLMOD_INT;
+  }
+  else if (internal::is_same<_StorageIndex,long>::value)
+  {
+    res.itype = CHOLMOD_LONG;
+  }
+  else
+  {
+    eigen_assert(false && "Index type not supported yet");
+  }
+
+  // setup res.xtype
+  internal::cholmod_configure_matrix<_Scalar>::run(res);
+  
+  res.stype = 0;
+  
+  return res;
+}
+
+template<typename _Scalar, int _Options, typename _Index>
+const cholmod_sparse viewAsCholmod(const SparseMatrix<_Scalar,_Options,_Index>& mat)
+{
+  cholmod_sparse res = viewAsCholmod(Ref<SparseMatrix<_Scalar,_Options,_Index> >(mat.const_cast_derived()));
+  return res;
+}
+
+template<typename _Scalar, int _Options, typename _Index>
+const cholmod_sparse viewAsCholmod(const SparseVector<_Scalar,_Options,_Index>& mat)
+{
+  cholmod_sparse res = viewAsCholmod(Ref<SparseMatrix<_Scalar,_Options,_Index> >(mat.const_cast_derived()));
+  return res;
+}
+
+/** Returns a view of the Eigen sparse matrix \a mat as Cholmod sparse matrix.
+  * The data are not copied but shared. */
+template<typename _Scalar, int _Options, typename _Index, unsigned int UpLo>
+cholmod_sparse viewAsCholmod(const SparseSelfAdjointView<const SparseMatrix<_Scalar,_Options,_Index>, UpLo>& mat)
+{
+  cholmod_sparse res = viewAsCholmod(Ref<SparseMatrix<_Scalar,_Options,_Index> >(mat.matrix().const_cast_derived()));
+  
+  if(UpLo==Upper) res.stype =  1;
+  if(UpLo==Lower) res.stype = -1;
+
+  return res;
+}
+
+/** Returns a view of the Eigen \b dense matrix \a mat as Cholmod dense matrix.
+  * The data are not copied but shared. */
+template<typename Derived>
+cholmod_dense viewAsCholmod(MatrixBase<Derived>& mat)
+{
+  EIGEN_STATIC_ASSERT((internal::traits<Derived>::Flags&RowMajorBit)==0,THIS_METHOD_IS_ONLY_FOR_COLUMN_MAJOR_MATRICES);
+  typedef typename Derived::Scalar Scalar;
+
+  cholmod_dense res;
+  res.nrow   = mat.rows();
+  res.ncol   = mat.cols();
+  res.nzmax  = res.nrow * res.ncol;
+  res.d      = Derived::IsVectorAtCompileTime ? mat.derived().size() : mat.derived().outerStride();
+  res.x      = (void*)(mat.derived().data());
+  res.z      = 0;
+
+  internal::cholmod_configure_matrix<Scalar>::run(res);
+
+  return res;
+}
+
+/** Returns a view of the Cholmod sparse matrix \a cm as an Eigen sparse matrix.
+  * The data are not copied but shared. */
+template<typename Scalar, int Flags, typename StorageIndex>
+MappedSparseMatrix<Scalar,Flags,StorageIndex> viewAsEigen(cholmod_sparse& cm)
+{
+  return MappedSparseMatrix<Scalar,Flags,StorageIndex>
+         (cm.nrow, cm.ncol, static_cast<StorageIndex*>(cm.p)[cm.ncol],
+          static_cast<StorageIndex*>(cm.p), static_cast<StorageIndex*>(cm.i),static_cast<Scalar*>(cm.x) );
+}
+
+enum CholmodMode {
+  CholmodAuto, CholmodSimplicialLLt, CholmodSupernodalLLt, CholmodLDLt
+};
+
+
+/** \ingroup CholmodSupport_Module
+  * \class CholmodBase
+  * \brief The base class for the direct Cholesky factorization of Cholmod
+  * \sa class CholmodSupernodalLLT, class CholmodSimplicialLDLT, class CholmodSimplicialLLT
+  */
+template<typename _MatrixType, int _UpLo, typename Derived>
+class CholmodBase : public SparseSolverBase<Derived>
+{
+  protected:
+    typedef SparseSolverBase<Derived> Base;
+    using Base::derived;
+    using Base::m_isInitialized;
+  public:
+    typedef _MatrixType MatrixType;
+    enum { UpLo = _UpLo };
+    typedef typename MatrixType::Scalar Scalar;
+    typedef typename MatrixType::RealScalar RealScalar;
+    typedef MatrixType CholMatrixType;
+    typedef typename MatrixType::StorageIndex StorageIndex;
+    enum {
+      ColsAtCompileTime = MatrixType::ColsAtCompileTime,
+      MaxColsAtCompileTime = MatrixType::MaxColsAtCompileTime
+    };
+
+  public:
+
+    CholmodBase()
+      : m_cholmodFactor(0), m_info(Success), m_factorizationIsOk(false), m_analysisIsOk(false)
+    {
+      EIGEN_STATIC_ASSERT((internal::is_same<double,RealScalar>::value), CHOLMOD_SUPPORTS_DOUBLE_PRECISION_ONLY);
+      m_shiftOffset[0] = m_shiftOffset[1] = 0.0;
+      cholmod_start(&m_cholmod);
+    }
+
+    explicit CholmodBase(const MatrixType& matrix)
+      : m_cholmodFactor(0), m_info(Success), m_factorizationIsOk(false), m_analysisIsOk(false)
+    {
+      EIGEN_STATIC_ASSERT((internal::is_same<double,RealScalar>::value), CHOLMOD_SUPPORTS_DOUBLE_PRECISION_ONLY);
+      m_shiftOffset[0] = m_shiftOffset[1] = 0.0;
+      cholmod_start(&m_cholmod);
+      compute(matrix);
+    }
+
+    ~CholmodBase()
+    {
+      if(m_cholmodFactor)
+        cholmod_free_factor(&m_cholmodFactor, &m_cholmod);
+      cholmod_finish(&m_cholmod);
+    }
+    
+    inline StorageIndex cols() const { return internal::convert_index<StorageIndex, Index>(m_cholmodFactor->n); }
+    inline StorageIndex rows() const { return internal::convert_index<StorageIndex, Index>(m_cholmodFactor->n); }
+    
+    /** \brief Reports whether previous computation was successful.
+      *
+      * \returns \c Success if computation was succesful,
+      *          \c NumericalIssue if the matrix.appears to be negative.
+      */
+    ComputationInfo info() const
+    {
+      eigen_assert(m_isInitialized && "Decomposition is not initialized.");
+      return m_info;
+    }
+
+    /** Computes the sparse Cholesky decomposition of \a matrix */
+    Derived& compute(const MatrixType& matrix)
+    {
+      analyzePattern(matrix);
+      factorize(matrix);
+      return derived();
+    }
+    
+    /** Performs a symbolic decomposition on the sparsity pattern of \a matrix.
+      *
+      * This function is particularly useful when solving for several problems having the same structure.
+      * 
+      * \sa factorize()
+      */
+    void analyzePattern(const MatrixType& matrix)
+    {
+      if(m_cholmodFactor)
+      {
+        cholmod_free_factor(&m_cholmodFactor, &m_cholmod);
+        m_cholmodFactor = 0;
+      }
+      cholmod_sparse A = viewAsCholmod(matrix.template selfadjointView<UpLo>());
+      m_cholmodFactor = cholmod_analyze(&A, &m_cholmod);
+      
+      this->m_isInitialized = true;
+      this->m_info = Success;
+      m_analysisIsOk = true;
+      m_factorizationIsOk = false;
+    }
+    
+    /** Performs a numeric decomposition of \a matrix
+      *
+      * The given matrix must have the same sparsity pattern as the matrix on which the symbolic decomposition has been performed.
+      *
+      * \sa analyzePattern()
+      */
+    void factorize(const MatrixType& matrix)
+    {
+      eigen_assert(m_analysisIsOk && "You must first call analyzePattern()");
+      cholmod_sparse A = viewAsCholmod(matrix.template selfadjointView<UpLo>());
+      cholmod_factorize_p(&A, m_shiftOffset, 0, 0, m_cholmodFactor, &m_cholmod);
+
+      // If the factorization failed, minor is the column at which it did. On success minor == n.
+      this->m_info = (m_cholmodFactor->minor == m_cholmodFactor->n ? Success : NumericalIssue);
+      m_factorizationIsOk = true;
+    }
+    
+    /** Returns a reference to the Cholmod's configuration structure to get a full control over the performed operations.
+     *  See the Cholmod user guide for details. */
+    cholmod_common& cholmod() { return m_cholmod; }
+    
+    #ifndef EIGEN_PARSED_BY_DOXYGEN
+    /** \internal */
+    template<typename Rhs,typename Dest>
+    void _solve_impl(const MatrixBase<Rhs> &b, MatrixBase<Dest> &dest) const
+    {
+      eigen_assert(m_factorizationIsOk && "The decomposition is not in a valid state for solving, you must first call either compute() or symbolic()/numeric()");
+      const Index size = m_cholmodFactor->n;
+      EIGEN_UNUSED_VARIABLE(size);
+      eigen_assert(size==b.rows());
+      
+      // Cholmod needs column-major stoarge without inner-stride, which corresponds to the default behavior of Ref.
+      Ref<const Matrix<typename Rhs::Scalar,Dynamic,Dynamic,ColMajor> > b_ref(b.derived());
+
+      cholmod_dense b_cd = viewAsCholmod(b_ref);
+      cholmod_dense* x_cd = cholmod_solve(CHOLMOD_A, m_cholmodFactor, &b_cd, &m_cholmod);
+      if(!x_cd)
+      {
+        this->m_info = NumericalIssue;
+        return;
+      }
+      // TODO optimize this copy by swapping when possible (be careful with alignment, etc.)
+      dest = Matrix<Scalar,Dest::RowsAtCompileTime,Dest::ColsAtCompileTime>::Map(reinterpret_cast<Scalar*>(x_cd->x),b.rows(),b.cols());
+      cholmod_free_dense(&x_cd, &m_cholmod);
+    }
+    
+    /** \internal */
+    template<typename RhsDerived, typename DestDerived>
+    void _solve_impl(const SparseMatrixBase<RhsDerived> &b, SparseMatrixBase<DestDerived> &dest) const
+    {
+      eigen_assert(m_factorizationIsOk && "The decomposition is not in a valid state for solving, you must first call either compute() or symbolic()/numeric()");
+      const Index size = m_cholmodFactor->n;
+      EIGEN_UNUSED_VARIABLE(size);
+      eigen_assert(size==b.rows());
+
+      // note: cs stands for Cholmod Sparse
+      Ref<SparseMatrix<typename RhsDerived::Scalar,ColMajor,typename RhsDerived::StorageIndex> > b_ref(b.const_cast_derived());
+      cholmod_sparse b_cs = viewAsCholmod(b_ref);
+      cholmod_sparse* x_cs = cholmod_spsolve(CHOLMOD_A, m_cholmodFactor, &b_cs, &m_cholmod);
+      if(!x_cs)
+      {
+        this->m_info = NumericalIssue;
+        return;
+      }
+      // TODO optimize this copy by swapping when possible (be careful with alignment, etc.)
+      dest.derived() = viewAsEigen<typename DestDerived::Scalar,ColMajor,typename DestDerived::StorageIndex>(*x_cs);
+      cholmod_free_sparse(&x_cs, &m_cholmod);
+    }
+    #endif // EIGEN_PARSED_BY_DOXYGEN
+    
+    
+    /** Sets the shift parameter that will be used to adjust the diagonal coefficients during the numerical factorization.
+      *
+      * During the numerical factorization, an offset term is added to the diagonal coefficients:\n
+      * \c d_ii = \a offset + \c d_ii
+      *
+      * The default is \a offset=0.
+      *
+      * \returns a reference to \c *this.
+      */
+    Derived& setShift(const RealScalar& offset)
+    {
+      m_shiftOffset[0] = double(offset);
+      return derived();
+    }
+    
+    /** \returns the determinant of the underlying matrix from the current factorization */
+    Scalar determinant() const
+    {
+      using std::exp;
+      return exp(logDeterminant());
+    }
+
+    /** \returns the log determinant of the underlying matrix from the current factorization */
+    Scalar logDeterminant() const
+    {
+      using std::log;
+      using numext::real;
+      eigen_assert(m_factorizationIsOk && "The decomposition is not in a valid state for solving, you must first call either compute() or symbolic()/numeric()");
+
+      RealScalar logDet = 0;
+      Scalar *x = static_cast<Scalar*>(m_cholmodFactor->x);
+      if (m_cholmodFactor->is_super)
+      {
+        // Supernodal factorization stored as a packed list of dense column-major blocs,
+        // as described by the following structure:
+
+        // super[k] == index of the first column of the j-th super node
+        StorageIndex *super = static_cast<StorageIndex*>(m_cholmodFactor->super);
+        // pi[k] == offset to the description of row indices
+        StorageIndex *pi = static_cast<StorageIndex*>(m_cholmodFactor->pi);
+        // px[k] == offset to the respective dense block
+        StorageIndex *px = static_cast<StorageIndex*>(m_cholmodFactor->px);
+
+        Index nb_super_nodes = m_cholmodFactor->nsuper;
+        for (Index k=0; k < nb_super_nodes; ++k)
+        {
+          StorageIndex ncols = super[k + 1] - super[k];
+          StorageIndex nrows = pi[k + 1] - pi[k];
+
+          Map<const Array<Scalar,1,Dynamic>, 0, InnerStride<> > sk(x + px[k], ncols, InnerStride<>(nrows+1));
+          logDet += sk.real().log().sum();
+        }
+      }
+      else
+      {
+        // Simplicial factorization stored as standard CSC matrix.
+        StorageIndex *p = static_cast<StorageIndex*>(m_cholmodFactor->p);
+        Index size = m_cholmodFactor->n;
+        for (Index k=0; k<size; ++k)
+          logDet += log(real( x[p[k]] ));
+      }
+      if (m_cholmodFactor->is_ll)
+        logDet *= 2.0;
+      return logDet;
+    };
+
+    template<typename Stream>
+    void dumpMemory(Stream& /*s*/)
+    {}
+    
+  protected:
+    mutable cholmod_common m_cholmod;
+    cholmod_factor* m_cholmodFactor;
+    double m_shiftOffset[2];
+    mutable ComputationInfo m_info;
+    int m_factorizationIsOk;
+    int m_analysisIsOk;
+};
+
+/** \ingroup CholmodSupport_Module
+  * \class CholmodSimplicialLLT
+  * \brief A simplicial direct Cholesky (LLT) factorization and solver based on Cholmod
+  *
+  * This class allows to solve for A.X = B sparse linear problems via a simplicial LL^T Cholesky factorization
+  * using the Cholmod library.
+  * This simplicial variant is equivalent to Eigen's built-in SimplicialLLT class. Therefore, it has little practical interest.
+  * The sparse matrix A must be selfadjoint and positive definite. The vectors or matrices
+  * X and B can be either dense or sparse.
+  *
+  * \tparam _MatrixType the type of the sparse matrix A, it must be a SparseMatrix<>
+  * \tparam _UpLo the triangular part that will be used for the computations. It can be Lower
+  *               or Upper. Default is Lower.
+  *
+  * \implsparsesolverconcept
+  *
+  * This class supports all kind of SparseMatrix<>: row or column major; upper, lower, or both; compressed or non compressed.
+  *
+  * \warning Only double precision real and complex scalar types are supported by Cholmod.
+  *
+  * \sa \ref TutorialSparseSolverConcept, class CholmodSupernodalLLT, class SimplicialLLT
+  */
+template<typename _MatrixType, int _UpLo = Lower>
+class CholmodSimplicialLLT : public CholmodBase<_MatrixType, _UpLo, CholmodSimplicialLLT<_MatrixType, _UpLo> >
+{
+    typedef CholmodBase<_MatrixType, _UpLo, CholmodSimplicialLLT> Base;
+    using Base::m_cholmod;
+    
+  public:
+    
+    typedef _MatrixType MatrixType;
+    
+    CholmodSimplicialLLT() : Base() { init(); }
+
+    CholmodSimplicialLLT(const MatrixType& matrix) : Base()
+    {
+      init();
+      this->compute(matrix);
+    }
+
+    ~CholmodSimplicialLLT() {}
+  protected:
+    void init()
+    {
+      m_cholmod.final_asis = 0;
+      m_cholmod.supernodal = CHOLMOD_SIMPLICIAL;
+      m_cholmod.final_ll = 1;
+    }
+};
+
+
+/** \ingroup CholmodSupport_Module
+  * \class CholmodSimplicialLDLT
+  * \brief A simplicial direct Cholesky (LDLT) factorization and solver based on Cholmod
+  *
+  * This class allows to solve for A.X = B sparse linear problems via a simplicial LDL^T Cholesky factorization
+  * using the Cholmod library.
+  * This simplicial variant is equivalent to Eigen's built-in SimplicialLDLT class. Therefore, it has little practical interest.
+  * The sparse matrix A must be selfadjoint and positive definite. The vectors or matrices
+  * X and B can be either dense or sparse.
+  *
+  * \tparam _MatrixType the type of the sparse matrix A, it must be a SparseMatrix<>
+  * \tparam _UpLo the triangular part that will be used for the computations. It can be Lower
+  *               or Upper. Default is Lower.
+  *
+  * \implsparsesolverconcept
+  *
+  * This class supports all kind of SparseMatrix<>: row or column major; upper, lower, or both; compressed or non compressed.
+  *
+  * \warning Only double precision real and complex scalar types are supported by Cholmod.
+  *
+  * \sa \ref TutorialSparseSolverConcept, class CholmodSupernodalLLT, class SimplicialLDLT
+  */
+template<typename _MatrixType, int _UpLo = Lower>
+class CholmodSimplicialLDLT : public CholmodBase<_MatrixType, _UpLo, CholmodSimplicialLDLT<_MatrixType, _UpLo> >
+{
+    typedef CholmodBase<_MatrixType, _UpLo, CholmodSimplicialLDLT> Base;
+    using Base::m_cholmod;
+    
+  public:
+    
+    typedef _MatrixType MatrixType;
+    
+    CholmodSimplicialLDLT() : Base() { init(); }
+
+    CholmodSimplicialLDLT(const MatrixType& matrix) : Base()
+    {
+      init();
+      this->compute(matrix);
+    }
+
+    ~CholmodSimplicialLDLT() {}
+  protected:
+    void init()
+    {
+      m_cholmod.final_asis = 1;
+      m_cholmod.supernodal = CHOLMOD_SIMPLICIAL;
+    }
+};
+
+/** \ingroup CholmodSupport_Module
+  * \class CholmodSupernodalLLT
+  * \brief A supernodal Cholesky (LLT) factorization and solver based on Cholmod
+  *
+  * This class allows to solve for A.X = B sparse linear problems via a supernodal LL^T Cholesky factorization
+  * using the Cholmod library.
+  * This supernodal variant performs best on dense enough problems, e.g., 3D FEM, or very high order 2D FEM.
+  * The sparse matrix A must be selfadjoint and positive definite. The vectors or matrices
+  * X and B can be either dense or sparse.
+  *
+  * \tparam _MatrixType the type of the sparse matrix A, it must be a SparseMatrix<>
+  * \tparam _UpLo the triangular part that will be used for the computations. It can be Lower
+  *               or Upper. Default is Lower.
+  *
+  * \implsparsesolverconcept
+  *
+  * This class supports all kind of SparseMatrix<>: row or column major; upper, lower, or both; compressed or non compressed.
+  *
+  * \warning Only double precision real and complex scalar types are supported by Cholmod.
+  *
+  * \sa \ref TutorialSparseSolverConcept
+  */
+template<typename _MatrixType, int _UpLo = Lower>
+class CholmodSupernodalLLT : public CholmodBase<_MatrixType, _UpLo, CholmodSupernodalLLT<_MatrixType, _UpLo> >
+{
+    typedef CholmodBase<_MatrixType, _UpLo, CholmodSupernodalLLT> Base;
+    using Base::m_cholmod;
+    
+  public:
+    
+    typedef _MatrixType MatrixType;
+    
+    CholmodSupernodalLLT() : Base() { init(); }
+
+    CholmodSupernodalLLT(const MatrixType& matrix) : Base()
+    {
+      init();
+      this->compute(matrix);
+    }
+
+    ~CholmodSupernodalLLT() {}
+  protected:
+    void init()
+    {
+      m_cholmod.final_asis = 1;
+      m_cholmod.supernodal = CHOLMOD_SUPERNODAL;
+    }
+};
+
+/** \ingroup CholmodSupport_Module
+  * \class CholmodDecomposition
+  * \brief A general Cholesky factorization and solver based on Cholmod
+  *
+  * This class allows to solve for A.X = B sparse linear problems via a LL^T or LDL^T Cholesky factorization
+  * using the Cholmod library. The sparse matrix A must be selfadjoint and positive definite. The vectors or matrices
+  * X and B can be either dense or sparse.
+  *
+  * This variant permits to change the underlying Cholesky method at runtime.
+  * On the other hand, it does not provide access to the result of the factorization.
+  * The default is to let Cholmod automatically choose between a simplicial and supernodal factorization.
+  *
+  * \tparam _MatrixType the type of the sparse matrix A, it must be a SparseMatrix<>
+  * \tparam _UpLo the triangular part that will be used for the computations. It can be Lower
+  *               or Upper. Default is Lower.
+  *
+  * \implsparsesolverconcept
+  *
+  * This class supports all kind of SparseMatrix<>: row or column major; upper, lower, or both; compressed or non compressed.
+  *
+  * \warning Only double precision real and complex scalar types are supported by Cholmod.
+  *
+  * \sa \ref TutorialSparseSolverConcept
+  */
+template<typename _MatrixType, int _UpLo = Lower>
+class CholmodDecomposition : public CholmodBase<_MatrixType, _UpLo, CholmodDecomposition<_MatrixType, _UpLo> >
+{
+    typedef CholmodBase<_MatrixType, _UpLo, CholmodDecomposition> Base;
+    using Base::m_cholmod;
+    
+  public:
+    
+    typedef _MatrixType MatrixType;
+    
+    CholmodDecomposition() : Base() { init(); }
+
+    CholmodDecomposition(const MatrixType& matrix) : Base()
+    {
+      init();
+      this->compute(matrix);
+    }
+
+    ~CholmodDecomposition() {}
+    
+    void setMode(CholmodMode mode)
+    {
+      switch(mode)
+      {
+        case CholmodAuto:
+          m_cholmod.final_asis = 1;
+          m_cholmod.supernodal = CHOLMOD_AUTO;
+          break;
+        case CholmodSimplicialLLt:
+          m_cholmod.final_asis = 0;
+          m_cholmod.supernodal = CHOLMOD_SIMPLICIAL;
+          m_cholmod.final_ll = 1;
+          break;
+        case CholmodSupernodalLLt:
+          m_cholmod.final_asis = 1;
+          m_cholmod.supernodal = CHOLMOD_SUPERNODAL;
+          break;
+        case CholmodLDLt:
+          m_cholmod.final_asis = 1;
+          m_cholmod.supernodal = CHOLMOD_SIMPLICIAL;
+          break;
+        default:
+          break;
+      }
+    }
+  protected:
+    void init()
+    {
+      m_cholmod.final_asis = 1;
+      m_cholmod.supernodal = CHOLMOD_AUTO;
+    }
+};
+
+} // end namespace Eigen
+
+#endif // EIGEN_CHOLMODSUPPORT_H
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h	(revision 3761)
@@ -0,0 +1,653 @@
+// This file is part of Eigen, a lightweight C++ template library
+// for linear algebra.
+//
+// Copyright (C) 2008-2009 Gael Guennebaud <gael.guennebaud@inria.fr>
+// Copyright (C) 2009 Benoit Jacob <jacob.benoit.1@gmail.com>
+//
+// This Source Code Form is subject to the terms of the Mozilla
+// Public License v. 2.0. If a copy of the MPL was not distributed
+// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
+
+#ifndef EIGEN_COLPIVOTINGHOUSEHOLDERQR_H
+#define EIGEN_COLPIVOTINGHOUSEHOLDERQR_H
+
+namespace Eigen {
+
+namespace internal {
+template<typename _MatrixType> struct traits<ColPivHouseholderQR<_MatrixType> >
+ : traits<_MatrixType>
+{
+  enum { Flags = 0 };
+};
+
+} // end namespace internal
+
+/** \ingroup QR_Module
+  *
+  * \class ColPivHouseholderQR
+  *
+  * \brief Householder rank-revealing QR decomposition of a matrix with column-pivoting
+  *
+  * \tparam _MatrixType the type of the matrix of which we are computing the QR decomposition
+  *
+  * This class performs a rank-revealing QR decomposition of a matrix \b A into matrices \b P, \b Q and \b R
+  * such that
+  * \f[
+  *  \mathbf{A} \, \mathbf{P} = \mathbf{Q} \, \mathbf{R}
+  * \f]
+  * by using Householder transformations. Here, \b P is a permutation matrix, \b Q a unitary matrix and \b R an
+  * upper triangular matrix.
+  *
+  * This decomposition performs column pivoting in order to be rank-revealing and improve
+  * numerical stability. It is slower than HouseholderQR, and faster than FullPivHouseholderQR.
+  *
+  * This class supports the \link InplaceDecomposition inplace decomposition \endlink mechanism.
+  * 
+  * \sa MatrixBase::colPivHouseholderQr()
+  */
+template<typename _MatrixType> class ColPivHouseholderQR
+{
+  public:
+
+    typedef _MatrixType MatrixType;
+    enum {
+      RowsAtCompileTime = MatrixType::RowsAtCompileTime,
+      ColsAtCompileTime = MatrixType::ColsAtCompileTime,
+      MaxRowsAtCompileTime = MatrixType::MaxRowsAtCompileTime,
+      MaxColsAtCompileTime = MatrixType::MaxColsAtCompileTime
+    };
+    typedef typename MatrixType::Scalar Scalar;
+    typedef typename MatrixType::RealScalar RealScalar;
+    // FIXME should be int
+    typedef typename MatrixType::StorageIndex StorageIndex;
+    typedef typename internal::plain_diag_type<MatrixType>::type HCoeffsType;
+    typedef PermutationMatrix<ColsAtCompileTime, MaxColsAtCompileTime> PermutationType;
+    typedef typename internal::plain_row_type<MatrixType, Index>::type IntRowVectorType;
+    typedef typename internal::plain_row_type<MatrixType>::type RowVectorType;
+    typedef typename internal::plain_row_type<MatrixType, RealScalar>::type RealRowVectorType;
+    typedef HouseholderSequence<MatrixType,typename internal::remove_all<typename HCoeffsType::ConjugateReturnType>::type> HouseholderSequenceType;
+    typedef typename MatrixType::PlainObject PlainObject;
+
+  private:
+
+    typedef typename PermutationType::StorageIndex PermIndexType;
+
+  public:
+
+    /**
+    * \brief Default Constructor.
+    *
+    * The default constructor is useful in cases in which the user intends to
+    * perform decompositions via ColPivHouseholderQR::compute(const MatrixType&).
+    */
+    ColPivHouseholderQR()
+      : m_qr(),
+        m_hCoeffs(),
+        m_colsPermutation(),
+        m_colsTranspositions(),
+        m_temp(),
+        m_colNormsUpdated(),
+        m_colNormsDirect(),
+        m_isInitialized(false),
+        m_usePrescribedThreshold(false) {}
+
+    /** \brief Default Constructor with memory preallocation
+      *
+      * Like the default constructor but with preallocation of the internal data
+      * according to the specified problem \a size.
+      * \sa ColPivHouseholderQR()
+      */
+    ColPivHouseholderQR(Index rows, Index cols)
+      : m_qr(rows, cols),
+        m_hCoeffs((std::min)(rows,cols)),
+        m_colsPermutation(PermIndexType(cols)),
+        m_colsTranspositions(cols),
+        m_temp(cols),
+        m_colNormsUpdated(cols),
+        m_colNormsDirect(cols),
+        m_isInitialized(false),
+        m_usePrescribedThreshold(false) {}
+
+    /** \brief Constructs a QR factorization from a given matrix
+      *
+      * This constructor computes the QR factorization of the matrix \a matrix by calling
+      * the method compute(). It is a short cut for:
+      *
+      * \code
+      * ColPivHouseholderQR<MatrixType> qr(matrix.rows(), matrix.cols());
+      * qr.compute(matrix);
+      * \endcode
+      *
+      * \sa compute()
+      */
+    template<typename InputType>
+    explicit ColPivHouseholderQR(const EigenBase<InputType>& matrix)
+      : m_qr(matrix.rows(), matrix.cols()),
+        m_hCoeffs((std::min)(matrix.rows(),matrix.cols())),
+        m_colsPermutation(PermIndexType(matrix.cols())),
+        m_colsTranspositions(matrix.cols()),
+        m_temp(matrix.cols()),
+        m_colNormsUpdated(matrix.cols()),
+        m_colNormsDirect(matrix.cols()),
+        m_isInitialized(false),
+        m_usePrescribedThreshold(false)
+    {
+      compute(matrix.derived());
+    }
+
+    /** \brief Constructs a QR factorization from a given matrix
+      *
+      * This overloaded constructor is provided for \link InplaceDecomposition inplace decomposition \endlink when \c MatrixType is a Eigen::Ref.
+      *
+      * \sa ColPivHouseholderQR(const EigenBase&)
+      */
+    template<typename InputType>
+    explicit ColPivHouseholderQR(EigenBase<InputType>& matrix)
+      : m_qr(matrix.derived()),
+        m_hCoeffs((std::min)(matrix.rows(),matrix.cols())),
+        m_colsPermutation(PermIndexType(matrix.cols())),
+        m_colsTranspositions(matrix.cols()),
+        m_temp(matrix.cols()),
+        m_colNormsUpdated(matrix.cols()),
+        m_colNormsDirect(matrix.cols()),
+        m_isInitialized(false),
+        m_usePrescribedThreshold(false)
+    {
+      computeInPlace();
+    }
+
+    /** This method finds a solution x to the equation Ax=b, where A is the matrix of which
+      * *this is the QR decomposition, if any exists.
+      *
+      * \param b the right-hand-side of the equation to solve.
+      *
+      * \returns a solution.
+      *
+      * \note_about_checking_solutions
+      *
+      * \note_about_arbitrary_choice_of_solution
+      *
+      * Example: \include ColPivHouseholderQR_solve.cpp
+      * Output: \verbinclude ColPivHouseholderQR_solve.out
+      */
+    template<typename Rhs>
+    inline const Solve<ColPivHouseholderQR, Rhs>
+    solve(const MatrixBase<Rhs>& b) const
+    {
+      eigen_assert(m_isInitialized && "ColPivHouseholderQR is not initialized.");
+      return Solve<ColPivHouseholderQR, Rhs>(*this, b.derived());
+    }
+
+    HouseholderSequenceType householderQ() const;
+    HouseholderSequenceType matrixQ() const
+    {
+      return householderQ();
+    }
+
+    /** \returns a reference to the matrix where the Householder QR decomposition is stored
+      */
+    const MatrixType& matrixQR() const
+    {
+      eigen_assert(m_isInitialized && "ColPivHouseholderQR is not initialized.");
+      return m_qr;
+    }
+
+    /** \returns a reference to the matrix where the result Householder QR is stored
+     * \warning The strict lower part of this matrix contains internal values.
+     * Only the upper triangular part should be referenced. To get it, use
+     * \code matrixR().template triangularView<Upper>() \endcode
+     * For rank-deficient matrices, use
+     * \code
+     * matrixR().topLeftCorner(rank(), rank()).template triangularView<Upper>()
+     * \endcode
+     */
+    const MatrixType& matrixR() const
+    {
+      eigen_assert(m_isInitialized && "ColPivHouseholderQR is not initialized.");
+      return m_qr;
+    }
+
+    template<typename InputType>
+    ColPivHouseholderQR& compute(const EigenBase<InputType>& matrix);
+
+    /** \returns a const reference to the column permutation matrix */
+    const PermutationType& colsPermutation() const
+    {
+      eigen_assert(m_isInitialized && "ColPivHouseholderQR is not initialized.");
+      return m_colsPermutation;
+    }
+
+    /** \returns the absolute value of the determinant of the matrix of which
+      * *this is the QR decomposition. It has only linear complexity
+      * (that is, O(n) where n is the dimension of the square matrix)
+      * as the QR decomposition has already been computed.
+      *
+      * \note This is only for square matrices.
+      *
+      * \warning a determinant can be very big or small, so for matrices
+      * of large enough dimension, there is a risk of overflow/underflow.
+      * One way to work around that is to use logAbsDeterminant() instead.
+      *
+      * \sa logAbsDeterminant(), MatrixBase::determinant()
+      */
+    typename MatrixType::RealScalar absDeterminant() const;
+
+    /** \returns the natural log of the absolute value of the determinant of the matrix of which
+      * *this is the QR decomposition. It has only linear complexity
+      * (that is, O(n) where n is the dimension of the square matrix)
+      * as the QR decomposition has already been computed.
+      *
+      * \note This is only for square matrices.
+      *
+      * \note This method is useful to work around the risk of overflow/underflow that's inherent
+      * to determinant computation.
+      *
+      * \sa absDeterminant(), MatrixBase::determinant()
+      */
+    typename MatrixType::RealScalar logAbsDeterminant() const;
+
+    /** \returns the rank of the matrix of which *this is the QR decomposition.
+      *
+      * \note This method has to determine which pivots should be considered nonzero.
+      *       For that, it uses the threshold value that you can control by calling
+      *       setThreshold(const RealScalar&).
+      */
+    inline Index rank() const
+    {
+      using std::abs;
+      eigen_assert(m_isInitialized && "ColPivHouseholderQR is not initialized.");
+      RealScalar premultiplied_threshold = abs(m_maxpivot) * threshold();
+      Index result = 0;
+      for(Index i = 0; i < m_nonzero_pivots; ++i)
+        result += (abs(m_qr.coeff(i,i)) > premultiplied_threshold);
+      return result;
+    }
+
+    /** \returns the dimension of the kernel of the matrix of which *this is the QR decomposition.
+      *
+      * \note This method has to determine which pivots should be considered nonzero.
+      *       For that, it uses the threshold value that you can control by calling
+      *       setThreshold(const RealScalar&).
+      */
+    inline Index dimensionOfKernel() const
+    {
+      eigen_assert(m_isInitialized && "ColPivHouseholderQR is not initialized.");
+      return cols() - rank();
+    }
+
+    /** \returns true if the matrix of which *this is the QR decomposition represents an injective
+      *          linear map, i.e. has trivial kernel; false otherwise.
+      *
+      * \note This method has to determine which pivots should be considered nonzero.
+      *       For that, it uses the threshold value that you can control by calling
+      *       setThreshold(const RealScalar&).
+      */
+    inline bool isInjective() const
+    {
+      eigen_assert(m_isInitialized && "ColPivHouseholderQR is not initialized.");
+      return rank() == cols();
+    }
+
+    /** \returns true if the matrix of which *this is the QR decomposition represents a surjective
+      *          linear map; false otherwise.
+      *
+      * \note This method has to determine which pivots should be considered nonzero.
+      *       For that, it uses the threshold value that you can control by calling
+      *       setThreshold(const RealScalar&).
+      */
+    inline bool isSurjective() const
+    {
+      eigen_assert(m_isInitialized && "ColPivHouseholderQR is not initialized.");
+      return rank() == rows();
+    }
+
+    /** \returns true if the matrix of which *this is the QR decomposition is invertible.
+      *
+      * \note This method has to determine which pivots should be considered nonzero.
+      *       For that, it uses the threshold value that you can control by calling
+      *       setThreshold(const RealScalar&).
+      */
+    inline bool isInvertible() const
+    {
+      eigen_assert(m_isInitialized && "ColPivHouseholderQR is not initialized.");
+      return isInjective() && isSurjective();
+    }
+
+    /** \returns the inverse of the matrix of which *this is the QR decomposition.
+      *
+      * \note If this matrix is not invertible, the returned matrix has undefined coefficients.
+      *       Use isInvertible() to first determine whether this matrix is invertible.
+      */
+    inline const Inverse<ColPivHouseholderQR> inverse() const
+    {
+      eigen_assert(m_isInitialized && "ColPivHouseholderQR is not initialized.");
+      return Inverse<ColPivHouseholderQR>(*this);
+    }
+
+    inline Index rows() const { return m_qr.rows(); }
+    inline Index cols() const { return m_qr.cols(); }
+
+    /** \returns a const reference to the vector of Householder coefficients used to represent the factor \c Q.
+      *
+      * For advanced uses only.
+      */
+    const HCoeffsType& hCoeffs() const { return m_hCoeffs; }
+
+    /** Allows to prescribe a threshold to be used by certain methods, such as rank(),
+      * who need to determine when pivots are to be considered nonzero. This is not used for the
+      * QR decomposition itself.
+      *
+      * When it needs to get the threshold value, Eigen calls threshold(). By default, this
+      * uses a formula to automatically determine a reasonable threshold.
+      * Once you have called the present method setThreshold(const RealScalar&),
+      * your value is used instead.
+      *
+      * \param threshold The new value to use as the threshold.
+      *
+      * A pivot will be considered nonzero if its absolute value is strictly greater than
+      *  \f$ \vert pivot \vert \leqslant threshold \times \vert maxpivot \vert \f$
+      * where maxpivot is the biggest pivot.
+      *
+      * If you want to come back to the default behavior, call setThreshold(Default_t)
+      */
+    ColPivHouseholderQR& setThreshold(const RealScalar& threshold)
+    {
+      m_usePrescribedThreshold = true;
+      m_prescribedThreshold = threshold;
+      return *this;
+    }
+
+    /** Allows to come back to the default behavior, letting Eigen use its default formula for
+      * determining the threshold.
+      *
+      * You should pass the special object Eigen::Default as parameter here.
+      * \code qr.setThreshold(Eigen::Default); \endcode
+      *
+      * See the documentation of setThreshold(const RealScalar&).
+      */
+    ColPivHouseholderQR& setThreshold(Default_t)
+    {
+      m_usePrescribedThreshold = false;
+      return *this;
+    }
+
+    /** Returns the threshold that will be used by certain methods such as rank().
+      *
+      * See the documentation of setThreshold(const RealScalar&).
+      */
+    RealScalar threshold() const
+    {
+      eigen_assert(m_isInitialized || m_usePrescribedThreshold);
+      return m_usePrescribedThreshold ? m_prescribedThreshold
+      // this formula comes from experimenting (see "LU precision tuning" thread on the list)
+      // and turns out to be identical to Higham's formula used already in LDLt.
+                                      : NumTraits<Scalar>::epsilon() * RealScalar(m_qr.diagonalSize());
+    }
+
+    /** \returns the number of nonzero pivots in the QR decomposition.
+      * Here nonzero is meant in the exact sense, not in a fuzzy sense.
+      * So that notion isn't really intrinsically interesting, but it is
+      * still useful when implementing algorithms.
+      *
+      * \sa rank()
+      */
+    inline Index nonzeroPivots() const
+    {
+      eigen_assert(m_isInitialized && "ColPivHouseholderQR is not initialized.");
+      return m_nonzero_pivots;
+    }
+
+    /** \returns the absolute value of the biggest pivot, i.e. the biggest
+      *          diagonal coefficient of R.
+      */
+    RealScalar maxPivot() const { return m_maxpivot; }
+
+    /** \brief Reports whether the QR factorization was succesful.
+      *
+      * \note This function always returns \c Success. It is provided for compatibility
+      * with other factorization routines.
+      * \returns \c Success
+      */
+    ComputationInfo info() const
+    {
+      eigen_assert(m_isInitialized && "Decomposition is not initialized.");
+      return Success;
+    }
+
+    #ifndef EIGEN_PARSED_BY_DOXYGEN
+    template<typename RhsType, typename DstType>
+    EIGEN_DEVICE_FUNC
+    void _solve_impl(const RhsType &rhs, DstType &dst) const;
+    #endif
+
+  protected:
+
+    friend class CompleteOrthogonalDecomposition<MatrixType>;
+
+    static void check_template_parameters()
+    {
+      EIGEN_STATIC_ASSERT_NON_INTEGER(Scalar);
+    }
+
+    void computeInPlace();
+
+    MatrixType m_qr;
+    HCoeffsType m_hCoeffs;
+    PermutationType m_colsPermutation;
+    IntRowVectorType m_colsTranspositions;
+    RowVectorType m_temp;
+    RealRowVectorType m_colNormsUpdated;
+    RealRowVectorType m_colNormsDirect;
+    bool m_isInitialized, m_usePrescribedThreshold;
+    RealScalar m_prescribedThreshold, m_maxpivot;
+    Index m_nonzero_pivots;
+    Index m_det_pq;
+};
+
+template<typename MatrixType>
+typename MatrixType::RealScalar ColPivHouseholderQR<MatrixType>::absDeterminant() const
+{
+  using std::abs;
+  eigen_assert(m_isInitialized && "ColPivHouseholderQR is not initialized.");
+  eigen_assert(m_qr.rows() == m_qr.cols() && "You can't take the determinant of a non-square matrix!");
+  return abs(m_qr.diagonal().prod());
+}
+
+template<typename MatrixType>
+typename MatrixType::RealScalar ColPivHouseholderQR<MatrixType>::logAbsDeterminant() const
+{
+  eigen_assert(m_isInitialized && "ColPivHouseholderQR is not initialized.");
+  eigen_assert(m_qr.rows() == m_qr.cols() && "You can't take the determinant of a non-square matrix!");
+  return m_qr.diagonal().cwiseAbs().array().log().sum();
+}
+
+/** Performs the QR factorization of the given matrix \a matrix. The result of
+  * the factorization is stored into \c *this, and a reference to \c *this
+  * is returned.
+  *
+  * \sa class ColPivHouseholderQR, ColPivHouseholderQR(const MatrixType&)
+  */
+template<typename MatrixType>
+template<typename InputType>
+ColPivHouseholderQR<MatrixType>& ColPivHouseholderQR<MatrixType>::compute(const EigenBase<InputType>& matrix)
+{
+  m_qr = matrix.derived();
+  computeInPlace();
+  return *this;
+}
+
+template<typename MatrixType>
+void ColPivHouseholderQR<MatrixType>::computeInPlace()
+{
+  check_template_parameters();
+
+  // the column permutation is stored as int indices, so just to be sure:
+  eigen_assert(m_qr.cols()<=NumTraits<int>::highest());
+
+  using std::abs;
+
+  Index rows = m_qr.rows();
+  Index cols = m_qr.cols();
+  Index size = m_qr.diagonalSize();
+
+  m_hCoeffs.resize(size);
+
+  m_temp.resize(cols);
+
+  m_colsTranspositions.resize(m_qr.cols());
+  Index number_of_transpositions = 0;
+
+  m_colNormsUpdated.resize(cols);
+  m_colNormsDirect.resize(cols);
+  for (Index k = 0; k < cols; ++k) {
+    // colNormsDirect(k) caches the most recent directly computed norm of
+    // column k.
+    m_colNormsDirect.coeffRef(k) = m_qr.col(k).norm();
+    m_colNormsUpdated.coeffRef(k) = m_colNormsDirect.coeffRef(k);
+  }
+
+  RealScalar threshold_helper =  numext::abs2<RealScalar>(m_colNormsUpdated.maxCoeff() * NumTraits<RealScalar>::epsilon()) / RealScalar(rows);
+  RealScalar norm_downdate_threshold = numext::sqrt(NumTraits<RealScalar>::epsilon());
+
+  m_nonzero_pivots = size; // the generic case is that in which all pivots are nonzero (invertible case)
+  m_maxpivot = RealScalar(0);
+
+  for(Index k = 0; k < size; ++k)
+  {
+    // first, we look up in our table m_colNormsUpdated which column has the biggest norm
+    Index biggest_col_index;
+    RealScalar biggest_col_sq_norm = numext::abs2(m_colNormsUpdated.tail(cols-k).maxCoeff(&biggest_col_index));
+    biggest_col_index += k;
+
+    // Track the number of meaningful pivots but do not stop the decomposition to make
+    // sure that the initial matrix is properly reproduced. See bug 941.
+    if(m_nonzero_pivots==size && biggest_col_sq_norm < threshold_helper * RealScalar(rows-k))
+      m_nonzero_pivots = k;
+
+    // apply the transposition to the columns
+    m_colsTranspositions.coeffRef(k) = biggest_col_index;
+    if(k != biggest_col_index) {
+      m_qr.col(k).swap(m_qr.col(biggest_col_index));
+      std::swap(m_colNormsUpdated.coeffRef(k), m_colNormsUpdated.coeffRef(biggest_col_index));
+      std::swap(m_colNormsDirect.coeffRef(k), m_colNormsDirect.coeffRef(biggest_col_index));
+      ++number_of_transpositions;
+    }
+
+    // generate the householder vector, store it below the diagonal
+    RealScalar beta;
+    m_qr.col(k).tail(rows-k).makeHouseholderInPlace(m_hCoeffs.coeffRef(k), beta);
+
+    // apply the householder transformation to the diagonal coefficient
+    m_qr.coeffRef(k,k) = beta;
+
+    // remember the maximum absolute value of diagonal coefficients
+    if(abs(beta) > m_maxpivot) m_maxpivot = abs(beta);
+
+    // apply the householder transformation
+    m_qr.bottomRightCorner(rows-k, cols-k-1)
+        .applyHouseholderOnTheLeft(m_qr.col(k).tail(rows-k-1), m_hCoeffs.coeffRef(k), &m_temp.coeffRef(k+1));
+
+    // update our table of norms of the columns
+    for (Index j = k + 1; j < cols; ++j) {
+      // The following implements the stable norm downgrade step discussed in
+      // http://www.netlib.org/lapack/lawnspdf/lawn176.pdf
+      // and used in LAPACK routines xGEQPF and xGEQP3.
+      // See lines 278-297 in http://www.netlib.org/lapack/explore-html/dc/df4/sgeqpf_8f_source.html
+      if (m_colNormsUpdated.coeffRef(j) != RealScalar(0)) {
+        RealScalar temp = abs(m_qr.coeffRef(k, j)) / m_colNormsUpdated.coeffRef(j);
+        temp = (RealScalar(1) + temp) * (RealScalar(1) - temp);
+        temp = temp <  RealScalar(0) ? RealScalar(0) : temp;
+        RealScalar temp2 = temp * numext::abs2<RealScalar>(m_colNormsUpdated.coeffRef(j) /
+                                                           m_colNormsDirect.coeffRef(j));
+        if (temp2 <= norm_downdate_threshold) {
+          // The updated norm has become too inaccurate so re-compute the column
+          // norm directly.
+          m_colNormsDirect.coeffRef(j) = m_qr.col(j).tail(rows - k - 1).norm();
+          m_colNormsUpdated.coeffRef(j) = m_colNormsDirect.coeffRef(j);
+        } else {
+          m_colNormsUpdated.coeffRef(j) *= numext::sqrt(temp);
+        }
+      }
+    }
+  }
+
+  m_colsPermutation.setIdentity(PermIndexType(cols));
+  for(PermIndexType k = 0; k < size/*m_nonzero_pivots*/; ++k)
+    m_colsPermutation.applyTranspositionOnTheRight(k, PermIndexType(m_colsTranspositions.coeff(k)));
+
+  m_det_pq = (number_of_transpositions%2) ? -1 : 1;
+  m_isInitialized = true;
+}
+
+#ifndef EIGEN_PARSED_BY_DOXYGEN
+template<typename _MatrixType>
+template<typename RhsType, typename DstType>
+void ColPivHouseholderQR<_MatrixType>::_solve_impl(const RhsType &rhs, DstType &dst) const
+{
+  eigen_assert(rhs.rows() == rows());
+
+  const Index nonzero_pivots = nonzeroPivots();
+
+  if(nonzero_pivots == 0)
+  {
+    dst.setZero();
+    return;
+  }
+
+  typename RhsType::PlainObject c(rhs);
+
+  // Note that the matrix Q = H_0^* H_1^*... so its inverse is Q^* = (H_0 H_1 ...)^T
+  c.applyOnTheLeft(householderSequence(m_qr, m_hCoeffs)
+                    .setLength(nonzero_pivots)
+                    .transpose()
+    );
+
+  m_qr.topLeftCorner(nonzero_pivots, nonzero_pivots)
+      .template triangularView<Upper>()
+      .solveInPlace(c.topRows(nonzero_pivots));
+
+  for(Index i = 0; i < nonzero_pivots; ++i) dst.row(m_colsPermutation.indices().coeff(i)) = c.row(i);
+  for(Index i = nonzero_pivots; i < cols(); ++i) dst.row(m_colsPermutation.indices().coeff(i)).setZero();
+}
+#endif
+
+namespace internal {
+
+template<typename DstXprType, typename MatrixType>
+struct Assignment<DstXprType, Inverse<ColPivHouseholderQR<MatrixType> >, internal::assign_op<typename DstXprType::Scalar,typename ColPivHouseholderQR<MatrixType>::Scalar>, Dense2Dense>
+{
+  typedef ColPivHouseholderQR<MatrixType> QrType;
+  typedef Inverse<QrType> SrcXprType;
+  static void run(DstXprType &dst, const SrcXprType &src, const internal::assign_op<typename DstXprType::Scalar,typename QrType::Scalar> &)
+  {
+    dst = src.nestedExpression().solve(MatrixType::Identity(src.rows(), src.cols()));
+  }
+};
+
+} // end namespace internal
+
+/** \returns the matrix Q as a sequence of householder transformations.
+  * You can extract the meaningful part only by using:
+  * \code qr.householderQ().setLength(qr.nonzeroPivots()) \endcode*/
+template<typename MatrixType>
+typename ColPivHouseholderQR<MatrixType>::HouseholderSequenceType ColPivHouseholderQR<MatrixType>
+  ::householderQ() const
+{
+  eigen_assert(m_isInitialized && "ColPivHouseholderQR is not initialized.");
+  return HouseholderSequenceType(m_qr, m_hCoeffs.conjugate());
+}
+
+/** \return the column-pivoting Householder QR decomposition of \c *this.
+  *
+  * \sa class ColPivHouseholderQR
+  */
+template<typename Derived>
+const ColPivHouseholderQR<typename MatrixBase<Derived>::PlainObject>
+MatrixBase<Derived>::colPivHouseholderQr() const
+{
+  return ColPivHouseholderQR<PlainObject>(eval());
+}
+
+} // end namespace Eigen
+
+#endif // EIGEN_COLPIVOTINGHOUSEHOLDERQR_H
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR_LAPACKE.h
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR_LAPACKE.h	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR_LAPACKE.h	(revision 3761)
@@ -0,0 +1,97 @@
+/*
+ Copyright (c) 2011, Intel Corporation. All rights reserved.
+
+ Redistribution and use in source and binary forms, with or without modification,
+ are permitted provided that the following conditions are met:
+
+ * Redistributions of source code must retain the above copyright notice, this
+   list of conditions and the following disclaimer.
+ * Redistributions in binary form must reproduce the above copyright notice,
+   this list of conditions and the following disclaimer in the documentation
+   and/or other materials provided with the distribution.
+ * Neither the name of Intel Corporation nor the names of its contributors may
+   be used to endorse or promote products derived from this software without
+   specific prior written permission.
+
+ THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND
+ ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED
+ WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
+ DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE LIABLE FOR
+ ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES
+ (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES;
+ LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON
+ ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
+ (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS
+ SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
+
+ ********************************************************************************
+ *   Content : Eigen bindings to LAPACKe
+ *    Householder QR decomposition of a matrix with column pivoting based on
+ *    LAPACKE_?geqp3 function.
+ ********************************************************************************
+*/
+
+#ifndef EIGEN_COLPIVOTINGHOUSEHOLDERQR_LAPACKE_H
+#define EIGEN_COLPIVOTINGHOUSEHOLDERQR_LAPACKE_H
+
+namespace Eigen { 
+
+/** \internal Specialization for the data types supported by LAPACKe */
+
+#define EIGEN_LAPACKE_QR_COLPIV(EIGTYPE, LAPACKE_TYPE, LAPACKE_PREFIX, EIGCOLROW, LAPACKE_COLROW) \
+template<> template<typename InputType> inline \
+ColPivHouseholderQR<Matrix<EIGTYPE, Dynamic, Dynamic, EIGCOLROW, Dynamic, Dynamic> >& \
+ColPivHouseholderQR<Matrix<EIGTYPE, Dynamic, Dynamic, EIGCOLROW, Dynamic, Dynamic> >::compute( \
+              const EigenBase<InputType>& matrix) \
+\
+{ \
+  using std::abs; \
+  typedef Matrix<EIGTYPE, Dynamic, Dynamic, EIGCOLROW, Dynamic, Dynamic> MatrixType; \
+  typedef MatrixType::RealScalar RealScalar; \
+  Index rows = matrix.rows();\
+  Index cols = matrix.cols();\
+\
+  m_qr = matrix;\
+  Index size = m_qr.diagonalSize();\
+  m_hCoeffs.resize(size);\
+\
+  m_colsTranspositions.resize(cols);\
+  /*Index number_of_transpositions = 0;*/ \
+\
+  m_nonzero_pivots = 0; \
+  m_maxpivot = RealScalar(0);\
+  m_colsPermutation.resize(cols); \
+  m_colsPermutation.indices().setZero(); \
+\
+  lapack_int lda = internal::convert_index<lapack_int,Index>(m_qr.outerStride()); \
+  lapack_int matrix_order = LAPACKE_COLROW; \
+  LAPACKE_##LAPACKE_PREFIX##geqp3( matrix_order, internal::convert_index<lapack_int,Index>(rows), internal::convert_index<lapack_int,Index>(cols), \
+                              (LAPACKE_TYPE*)m_qr.data(), lda, (lapack_int*)m_colsPermutation.indices().data(), (LAPACKE_TYPE*)m_hCoeffs.data()); \
+  m_isInitialized = true; \
+  m_maxpivot=m_qr.diagonal().cwiseAbs().maxCoeff(); \
+  m_hCoeffs.adjointInPlace(); \
+  RealScalar premultiplied_threshold = abs(m_maxpivot) * threshold(); \
+  lapack_int *perm = m_colsPermutation.indices().data(); \
+  for(Index i=0;i<size;i++) { \
+    m_nonzero_pivots += (abs(m_qr.coeff(i,i)) > premultiplied_threshold);\
+  } \
+  for(Index i=0;i<cols;i++) perm[i]--;\
+\
+  /*m_det_pq = (number_of_transpositions%2) ? -1 : 1;  // TODO: It's not needed now; fix upon availability in Eigen */ \
+\
+  return *this; \
+}
+
+EIGEN_LAPACKE_QR_COLPIV(double,   double,        d, ColMajor, LAPACK_COL_MAJOR)
+EIGEN_LAPACKE_QR_COLPIV(float,    float,         s, ColMajor, LAPACK_COL_MAJOR)
+EIGEN_LAPACKE_QR_COLPIV(dcomplex, lapack_complex_double, z, ColMajor, LAPACK_COL_MAJOR)
+EIGEN_LAPACKE_QR_COLPIV(scomplex, lapack_complex_float,  c, ColMajor, LAPACK_COL_MAJOR)
+
+EIGEN_LAPACKE_QR_COLPIV(double,   double,        d, RowMajor, LAPACK_ROW_MAJOR)
+EIGEN_LAPACKE_QR_COLPIV(float,    float,         s, RowMajor, LAPACK_ROW_MAJOR)
+EIGEN_LAPACKE_QR_COLPIV(dcomplex, lapack_complex_double, z, RowMajor, LAPACK_ROW_MAJOR)
+EIGEN_LAPACKE_QR_COLPIV(scomplex, lapack_complex_float,  c, RowMajor, LAPACK_ROW_MAJOR)
+
+} // end namespace Eigen
+
+#endif // EIGEN_COLPIVOTINGHOUSEHOLDERQR_LAPACKE_H
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/QR/CompleteOrthogonalDecomposition.h
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/QR/CompleteOrthogonalDecomposition.h	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/QR/CompleteOrthogonalDecomposition.h	(revision 3761)
@@ -0,0 +1,562 @@
+// This file is part of Eigen, a lightweight C++ template library
+// for linear algebra.
+//
+// Copyright (C) 2016 Rasmus Munk Larsen <rmlarsen@google.com>
+//
+// This Source Code Form is subject to the terms of the Mozilla
+// Public License v. 2.0. If a copy of the MPL was not distributed
+// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
+
+#ifndef EIGEN_COMPLETEORTHOGONALDECOMPOSITION_H
+#define EIGEN_COMPLETEORTHOGONALDECOMPOSITION_H
+
+namespace Eigen {
+
+namespace internal {
+template <typename _MatrixType>
+struct traits<CompleteOrthogonalDecomposition<_MatrixType> >
+    : traits<_MatrixType> {
+  enum { Flags = 0 };
+};
+
+}  // end namespace internal
+
+/** \ingroup QR_Module
+  *
+  * \class CompleteOrthogonalDecomposition
+  *
+  * \brief Complete orthogonal decomposition (COD) of a matrix.
+  *
+  * \param MatrixType the type of the matrix of which we are computing the COD.
+  *
+  * This class performs a rank-revealing complete orthogonal decomposition of a
+  * matrix  \b A into matrices \b P, \b Q, \b T, and \b Z such that
+  * \f[
+  *  \mathbf{A} \, \mathbf{P} = \mathbf{Q} \,
+  *                     \begin{bmatrix} \mathbf{T} &  \mathbf{0} \\
+  *                                     \mathbf{0} & \mathbf{0} \end{bmatrix} \, \mathbf{Z}
+  * \f]
+  * by using Householder transformations. Here, \b P is a permutation matrix,
+  * \b Q and \b Z are unitary matrices and \b T an upper triangular matrix of
+  * size rank-by-rank. \b A may be rank deficient.
+  *
+  * This class supports the \link InplaceDecomposition inplace decomposition \endlink mechanism.
+  * 
+  * \sa MatrixBase::completeOrthogonalDecomposition()
+  */
+template <typename _MatrixType>
+class CompleteOrthogonalDecomposition {
+ public:
+  typedef _MatrixType MatrixType;
+  enum {
+    RowsAtCompileTime = MatrixType::RowsAtCompileTime,
+    ColsAtCompileTime = MatrixType::ColsAtCompileTime,
+    MaxRowsAtCompileTime = MatrixType::MaxRowsAtCompileTime,
+    MaxColsAtCompileTime = MatrixType::MaxColsAtCompileTime
+  };
+  typedef typename MatrixType::Scalar Scalar;
+  typedef typename MatrixType::RealScalar RealScalar;
+  typedef typename MatrixType::StorageIndex StorageIndex;
+  typedef typename internal::plain_diag_type<MatrixType>::type HCoeffsType;
+  typedef PermutationMatrix<ColsAtCompileTime, MaxColsAtCompileTime>
+      PermutationType;
+  typedef typename internal::plain_row_type<MatrixType, Index>::type
+      IntRowVectorType;
+  typedef typename internal::plain_row_type<MatrixType>::type RowVectorType;
+  typedef typename internal::plain_row_type<MatrixType, RealScalar>::type
+      RealRowVectorType;
+  typedef HouseholderSequence<
+      MatrixType, typename internal::remove_all<
+                      typename HCoeffsType::ConjugateReturnType>::type>
+      HouseholderSequenceType;
+  typedef typename MatrixType::PlainObject PlainObject;
+
+ private:
+  typedef typename PermutationType::Index PermIndexType;
+
+ public:
+  /**
+   * \brief Default Constructor.
+   *
+   * The default constructor is useful in cases in which the user intends to
+   * perform decompositions via
+   * \c CompleteOrthogonalDecomposition::compute(const* MatrixType&).
+   */
+  CompleteOrthogonalDecomposition() : m_cpqr(), m_zCoeffs(), m_temp() {}
+
+  /** \brief Default Constructor with memory preallocation
+   *
+   * Like the default constructor but with preallocation of the internal data
+   * according to the specified problem \a size.
+   * \sa CompleteOrthogonalDecomposition()
+   */
+  CompleteOrthogonalDecomposition(Index rows, Index cols)
+      : m_cpqr(rows, cols), m_zCoeffs((std::min)(rows, cols)), m_temp(cols) {}
+
+  /** \brief Constructs a complete orthogonal decomposition from a given
+   * matrix.
+   *
+   * This constructor computes the complete orthogonal decomposition of the
+   * matrix \a matrix by calling the method compute(). The default
+   * threshold for rank determination will be used. It is a short cut for:
+   *
+   * \code
+   * CompleteOrthogonalDecomposition<MatrixType> cod(matrix.rows(),
+   *                                                 matrix.cols());
+   * cod.setThreshold(Default);
+   * cod.compute(matrix);
+   * \endcode
+   *
+   * \sa compute()
+   */
+  template <typename InputType>
+  explicit CompleteOrthogonalDecomposition(const EigenBase<InputType>& matrix)
+      : m_cpqr(matrix.rows(), matrix.cols()),
+        m_zCoeffs((std::min)(matrix.rows(), matrix.cols())),
+        m_temp(matrix.cols())
+  {
+    compute(matrix.derived());
+  }
+
+  /** \brief Constructs a complete orthogonal decomposition from a given matrix
+    *
+    * This overloaded constructor is provided for \link InplaceDecomposition inplace decomposition \endlink when \c MatrixType is a Eigen::Ref.
+    *
+    * \sa CompleteOrthogonalDecomposition(const EigenBase&)
+    */
+  template<typename InputType>
+  explicit CompleteOrthogonalDecomposition(EigenBase<InputType>& matrix)
+    : m_cpqr(matrix.derived()),
+      m_zCoeffs((std::min)(matrix.rows(), matrix.cols())),
+      m_temp(matrix.cols())
+  {
+    computeInPlace();
+  }
+
+
+  /** This method computes the minimum-norm solution X to a least squares
+   * problem \f[\mathrm{minimize} \|A X - B\|, \f] where \b A is the matrix of
+   * which \c *this is the complete orthogonal decomposition.
+   *
+   * \param b the right-hand sides of the problem to solve.
+   *
+   * \returns a solution.
+   *
+   */
+  template <typename Rhs>
+  inline const Solve<CompleteOrthogonalDecomposition, Rhs> solve(
+      const MatrixBase<Rhs>& b) const {
+    eigen_assert(m_cpqr.m_isInitialized &&
+                 "CompleteOrthogonalDecomposition is not initialized.");
+    return Solve<CompleteOrthogonalDecomposition, Rhs>(*this, b.derived());
+  }
+
+  HouseholderSequenceType householderQ(void) const;
+  HouseholderSequenceType matrixQ(void) const { return m_cpqr.householderQ(); }
+
+  /** \returns the matrix \b Z.
+   */
+  MatrixType matrixZ() const {
+    MatrixType Z = MatrixType::Identity(m_cpqr.cols(), m_cpqr.cols());
+    applyZAdjointOnTheLeftInPlace(Z);
+    return Z.adjoint();
+  }
+
+  /** \returns a reference to the matrix where the complete orthogonal
+   * decomposition is stored
+   */
+  const MatrixType& matrixQTZ() const { return m_cpqr.matrixQR(); }
+
+  /** \returns a reference to the matrix where the complete orthogonal
+   * decomposition is stored.
+   * \warning The strict lower part and \code cols() - rank() \endcode right
+   * columns of this matrix contains internal values.
+   * Only the upper triangular part should be referenced. To get it, use
+   * \code matrixT().template triangularView<Upper>() \endcode
+   * For rank-deficient matrices, use
+   * \code
+   * matrixR().topLeftCorner(rank(), rank()).template triangularView<Upper>()
+   * \endcode
+   */
+  const MatrixType& matrixT() const { return m_cpqr.matrixQR(); }
+
+  template <typename InputType>
+  CompleteOrthogonalDecomposition& compute(const EigenBase<InputType>& matrix) {
+    // Compute the column pivoted QR factorization A P = Q R.
+    m_cpqr.compute(matrix);
+    computeInPlace();
+    return *this;
+  }
+
+  /** \returns a const reference to the column permutation matrix */
+  const PermutationType& colsPermutation() const {
+    return m_cpqr.colsPermutation();
+  }
+
+  /** \returns the absolute value of the determinant of the matrix of which
+   * *this is the complete orthogonal decomposition. It has only linear
+   * complexity (that is, O(n) where n is the dimension of the square matrix)
+   * as the complete orthogonal decomposition has already been computed.
+   *
+   * \note This is only for square matrices.
+   *
+   * \warning a determinant can be very big or small, so for matrices
+   * of large enough dimension, there is a risk of overflow/underflow.
+   * One way to work around that is to use logAbsDeterminant() instead.
+   *
+   * \sa logAbsDeterminant(), MatrixBase::determinant()
+   */
+  typename MatrixType::RealScalar absDeterminant() const;
+
+  /** \returns the natural log of the absolute value of the determinant of the
+   * matrix of which *this is the complete orthogonal decomposition. It has
+   * only linear complexity (that is, O(n) where n is the dimension of the
+   * square matrix) as the complete orthogonal decomposition has already been
+   * computed.
+   *
+   * \note This is only for square matrices.
+   *
+   * \note This method is useful to work around the risk of overflow/underflow
+   * that's inherent to determinant computation.
+   *
+   * \sa absDeterminant(), MatrixBase::determinant()
+   */
+  typename MatrixType::RealScalar logAbsDeterminant() const;
+
+  /** \returns the rank of the matrix of which *this is the complete orthogonal
+   * decomposition.
+   *
+   * \note This method has to determine which pivots should be considered
+   * nonzero. For that, it uses the threshold value that you can control by
+   * calling setThreshold(const RealScalar&).
+   */
+  inline Index rank() const { return m_cpqr.rank(); }
+
+  /** \returns the dimension of the kernel of the matrix of which *this is the
+   * complete orthogonal decomposition.
+   *
+   * \note This method has to determine which pivots should be considered
+   * nonzero. For that, it uses the threshold value that you can control by
+   * calling setThreshold(const RealScalar&).
+   */
+  inline Index dimensionOfKernel() const { return m_cpqr.dimensionOfKernel(); }
+
+  /** \returns true if the matrix of which *this is the decomposition represents
+   * an injective linear map, i.e. has trivial kernel; false otherwise.
+   *
+   * \note This method has to determine which pivots should be considered
+   * nonzero. For that, it uses the threshold value that you can control by
+   * calling setThreshold(const RealScalar&).
+   */
+  inline bool isInjective() const { return m_cpqr.isInjective(); }
+
+  /** \returns true if the matrix of which *this is the decomposition represents
+   * a surjective linear map; false otherwise.
+   *
+   * \note This method has to determine which pivots should be considered
+   * nonzero. For that, it uses the threshold value that you can control by
+   * calling setThreshold(const RealScalar&).
+   */
+  inline bool isSurjective() const { return m_cpqr.isSurjective(); }
+
+  /** \returns true if the matrix of which *this is the complete orthogonal
+   * decomposition is invertible.
+   *
+   * \note This method has to determine which pivots should be considered
+   * nonzero. For that, it uses the threshold value that you can control by
+   * calling setThreshold(const RealScalar&).
+   */
+  inline bool isInvertible() const { return m_cpqr.isInvertible(); }
+
+  /** \returns the pseudo-inverse of the matrix of which *this is the complete
+   * orthogonal decomposition.
+   * \warning: Do not compute \c this->pseudoInverse()*rhs to solve a linear systems.
+   * It is more efficient and numerically stable to call \c this->solve(rhs).
+   */
+  inline const Inverse<CompleteOrthogonalDecomposition> pseudoInverse() const
+  {
+    return Inverse<CompleteOrthogonalDecomposition>(*this);
+  }
+
+  inline Index rows() const { return m_cpqr.rows(); }
+  inline Index cols() const { return m_cpqr.cols(); }
+
+  /** \returns a const reference to the vector of Householder coefficients used
+   * to represent the factor \c Q.
+   *
+   * For advanced uses only.
+   */
+  inline const HCoeffsType& hCoeffs() const { return m_cpqr.hCoeffs(); }
+
+  /** \returns a const reference to the vector of Householder coefficients
+   * used to represent the factor \c Z.
+   *
+   * For advanced uses only.
+   */
+  const HCoeffsType& zCoeffs() const { return m_zCoeffs; }
+
+  /** Allows to prescribe a threshold to be used by certain methods, such as
+   * rank(), who need to determine when pivots are to be considered nonzero.
+   * Most be called before calling compute().
+   *
+   * When it needs to get the threshold value, Eigen calls threshold(). By
+   * default, this uses a formula to automatically determine a reasonable
+   * threshold. Once you have called the present method
+   * setThreshold(const RealScalar&), your value is used instead.
+   *
+   * \param threshold The new value to use as the threshold.
+   *
+   * A pivot will be considered nonzero if its absolute value is strictly
+   * greater than
+   *  \f$ \vert pivot \vert \leqslant threshold \times \vert maxpivot \vert \f$
+   * where maxpivot is the biggest pivot.
+   *
+   * If you want to come back to the default behavior, call
+   * setThreshold(Default_t)
+   */
+  CompleteOrthogonalDecomposition& setThreshold(const RealScalar& threshold) {
+    m_cpqr.setThreshold(threshold);
+    return *this;
+  }
+
+  /** Allows to come back to the default behavior, letting Eigen use its default
+   * formula for determining the threshold.
+   *
+   * You should pass the special object Eigen::Default as parameter here.
+   * \code qr.setThreshold(Eigen::Default); \endcode
+   *
+   * See the documentation of setThreshold(const RealScalar&).
+   */
+  CompleteOrthogonalDecomposition& setThreshold(Default_t) {
+    m_cpqr.setThreshold(Default);
+    return *this;
+  }
+
+  /** Returns the threshold that will be used by certain methods such as rank().
+   *
+   * See the documentation of setThreshold(const RealScalar&).
+   */
+  RealScalar threshold() const { return m_cpqr.threshold(); }
+
+  /** \returns the number of nonzero pivots in the complete orthogonal
+   * decomposition. Here nonzero is meant in the exact sense, not in a
+   * fuzzy sense. So that notion isn't really intrinsically interesting,
+   * but it is still useful when implementing algorithms.
+   *
+   * \sa rank()
+   */
+  inline Index nonzeroPivots() const { return m_cpqr.nonzeroPivots(); }
+
+  /** \returns the absolute value of the biggest pivot, i.e. the biggest
+   *          diagonal coefficient of R.
+   */
+  inline RealScalar maxPivot() const { return m_cpqr.maxPivot(); }
+
+  /** \brief Reports whether the complete orthogonal decomposition was
+   * succesful.
+   *
+   * \note This function always returns \c Success. It is provided for
+   * compatibility
+   * with other factorization routines.
+   * \returns \c Success
+   */
+  ComputationInfo info() const {
+    eigen_assert(m_cpqr.m_isInitialized && "Decomposition is not initialized.");
+    return Success;
+  }
+
+#ifndef EIGEN_PARSED_BY_DOXYGEN
+  template <typename RhsType, typename DstType>
+  EIGEN_DEVICE_FUNC void _solve_impl(const RhsType& rhs, DstType& dst) const;
+#endif
+
+ protected:
+  static void check_template_parameters() {
+    EIGEN_STATIC_ASSERT_NON_INTEGER(Scalar);
+  }
+
+  void computeInPlace();
+
+  /** Overwrites \b rhs with \f$ \mathbf{Z}^* * \mathbf{rhs} \f$.
+   */
+  template <typename Rhs>
+  void applyZAdjointOnTheLeftInPlace(Rhs& rhs) const;
+
+  ColPivHouseholderQR<MatrixType> m_cpqr;
+  HCoeffsType m_zCoeffs;
+  RowVectorType m_temp;
+};
+
+template <typename MatrixType>
+typename MatrixType::RealScalar
+CompleteOrthogonalDecomposition<MatrixType>::absDeterminant() const {
+  return m_cpqr.absDeterminant();
+}
+
+template <typename MatrixType>
+typename MatrixType::RealScalar
+CompleteOrthogonalDecomposition<MatrixType>::logAbsDeterminant() const {
+  return m_cpqr.logAbsDeterminant();
+}
+
+/** Performs the complete orthogonal decomposition of the given matrix \a
+ * matrix. The result of the factorization is stored into \c *this, and a
+ * reference to \c *this is returned.
+ *
+ * \sa class CompleteOrthogonalDecomposition,
+ * CompleteOrthogonalDecomposition(const MatrixType&)
+ */
+template <typename MatrixType>
+void CompleteOrthogonalDecomposition<MatrixType>::computeInPlace()
+{
+  check_template_parameters();
+
+  // the column permutation is stored as int indices, so just to be sure:
+  eigen_assert(m_cpqr.cols() <= NumTraits<int>::highest());
+
+  const Index rank = m_cpqr.rank();
+  const Index cols = m_cpqr.cols();
+  const Index rows = m_cpqr.rows();
+  m_zCoeffs.resize((std::min)(rows, cols));
+  m_temp.resize(cols);
+
+  if (rank < cols) {
+    // We have reduced the (permuted) matrix to the form
+    //   [R11 R12]
+    //   [ 0  R22]
+    // where R11 is r-by-r (r = rank) upper triangular, R12 is
+    // r-by-(n-r), and R22 is empty or the norm of R22 is negligible.
+    // We now compute the complete orthogonal decomposition by applying
+    // Householder transformations from the right to the upper trapezoidal
+    // matrix X = [R11 R12] to zero out R12 and obtain the factorization
+    // [R11 R12] = [T11 0] * Z, where T11 is r-by-r upper triangular and
+    // Z = Z(0) * Z(1) ... Z(r-1) is an n-by-n orthogonal matrix.
+    // We store the data representing Z in R12 and m_zCoeffs.
+    for (Index k = rank - 1; k >= 0; --k) {
+      if (k != rank - 1) {
+        // Given the API for Householder reflectors, it is more convenient if
+        // we swap the leading parts of columns k and r-1 (zero-based) to form
+        // the matrix X_k = [X(0:k, k), X(0:k, r:n)]
+        m_cpqr.m_qr.col(k).head(k + 1).swap(
+            m_cpqr.m_qr.col(rank - 1).head(k + 1));
+      }
+      // Construct Householder reflector Z(k) to zero out the last row of X_k,
+      // i.e. choose Z(k) such that
+      // [X(k, k), X(k, r:n)] * Z(k) = [beta, 0, .., 0].
+      RealScalar beta;
+      m_cpqr.m_qr.row(k)
+          .tail(cols - rank + 1)
+          .makeHouseholderInPlace(m_zCoeffs(k), beta);
+      m_cpqr.m_qr(k, rank - 1) = beta;
+      if (k > 0) {
+        // Apply Z(k) to the first k rows of X_k
+        m_cpqr.m_qr.topRightCorner(k, cols - rank + 1)
+            .applyHouseholderOnTheRight(
+                m_cpqr.m_qr.row(k).tail(cols - rank).transpose(), m_zCoeffs(k),
+                &m_temp(0));
+      }
+      if (k != rank - 1) {
+        // Swap X(0:k,k) back to its proper location.
+        m_cpqr.m_qr.col(k).head(k + 1).swap(
+            m_cpqr.m_qr.col(rank - 1).head(k + 1));
+      }
+    }
+  }
+}
+
+template <typename MatrixType>
+template <typename Rhs>
+void CompleteOrthogonalDecomposition<MatrixType>::applyZAdjointOnTheLeftInPlace(
+    Rhs& rhs) const {
+  const Index cols = this->cols();
+  const Index nrhs = rhs.cols();
+  const Index rank = this->rank();
+  Matrix<typename MatrixType::Scalar, Dynamic, 1> temp((std::max)(cols, nrhs));
+  for (Index k = 0; k < rank; ++k) {
+    if (k != rank - 1) {
+      rhs.row(k).swap(rhs.row(rank - 1));
+    }
+    rhs.middleRows(rank - 1, cols - rank + 1)
+        .applyHouseholderOnTheLeft(
+            matrixQTZ().row(k).tail(cols - rank).adjoint(), zCoeffs()(k),
+            &temp(0));
+    if (k != rank - 1) {
+      rhs.row(k).swap(rhs.row(rank - 1));
+    }
+  }
+}
+
+#ifndef EIGEN_PARSED_BY_DOXYGEN
+template <typename _MatrixType>
+template <typename RhsType, typename DstType>
+void CompleteOrthogonalDecomposition<_MatrixType>::_solve_impl(
+    const RhsType& rhs, DstType& dst) const {
+  eigen_assert(rhs.rows() == this->rows());
+
+  const Index rank = this->rank();
+  if (rank == 0) {
+    dst.setZero();
+    return;
+  }
+
+  // Compute c = Q^* * rhs
+  // Note that the matrix Q = H_0^* H_1^*... so its inverse is
+  // Q^* = (H_0 H_1 ...)^T
+  typename RhsType::PlainObject c(rhs);
+  c.applyOnTheLeft(
+      householderSequence(matrixQTZ(), hCoeffs()).setLength(rank).transpose());
+
+  // Solve T z = c(1:rank, :)
+  dst.topRows(rank) = matrixT()
+                          .topLeftCorner(rank, rank)
+                          .template triangularView<Upper>()
+                          .solve(c.topRows(rank));
+
+  const Index cols = this->cols();
+  if (rank < cols) {
+    // Compute y = Z^* * [ z ]
+    //                   [ 0 ]
+    dst.bottomRows(cols - rank).setZero();
+    applyZAdjointOnTheLeftInPlace(dst);
+  }
+
+  // Undo permutation to get x = P^{-1} * y.
+  dst = colsPermutation() * dst;
+}
+#endif
+
+namespace internal {
+
+template<typename DstXprType, typename MatrixType>
+struct Assignment<DstXprType, Inverse<CompleteOrthogonalDecomposition<MatrixType> >, internal::assign_op<typename DstXprType::Scalar,typename CompleteOrthogonalDecomposition<MatrixType>::Scalar>, Dense2Dense>
+{
+  typedef CompleteOrthogonalDecomposition<MatrixType> CodType;
+  typedef Inverse<CodType> SrcXprType;
+  static void run(DstXprType &dst, const SrcXprType &src, const internal::assign_op<typename DstXprType::Scalar,typename CodType::Scalar> &)
+  {
+    dst = src.nestedExpression().solve(MatrixType::Identity(src.rows(), src.rows()));
+  }
+};
+
+} // end namespace internal
+
+/** \returns the matrix Q as a sequence of householder transformations */
+template <typename MatrixType>
+typename CompleteOrthogonalDecomposition<MatrixType>::HouseholderSequenceType
+CompleteOrthogonalDecomposition<MatrixType>::householderQ() const {
+  return m_cpqr.householderQ();
+}
+
+/** \return the complete orthogonal decomposition of \c *this.
+  *
+  * \sa class CompleteOrthogonalDecomposition
+  */
+template <typename Derived>
+const CompleteOrthogonalDecomposition<typename MatrixBase<Derived>::PlainObject>
+MatrixBase<Derived>::completeOrthogonalDecomposition() const {
+  return CompleteOrthogonalDecomposition<PlainObject>(eval());
+}
+
+}  // end namespace Eigen
+
+#endif  // EIGEN_COMPLETEORTHOGONALDECOMPOSITION_H
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h	(revision 3761)
@@ -0,0 +1,409 @@
+// This file is part of Eigen, a lightweight C++ template library
+// for linear algebra.
+//
+// Copyright (C) 2008-2010 Gael Guennebaud <gael.guennebaud@inria.fr>
+// Copyright (C) 2009 Benoit Jacob <jacob.benoit.1@gmail.com>
+// Copyright (C) 2010 Vincent Lejeune
+//
+// This Source Code Form is subject to the terms of the Mozilla
+// Public License v. 2.0. If a copy of the MPL was not distributed
+// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
+
+#ifndef EIGEN_QR_H
+#define EIGEN_QR_H
+
+namespace Eigen { 
+
+/** \ingroup QR_Module
+  *
+  *
+  * \class HouseholderQR
+  *
+  * \brief Householder QR decomposition of a matrix
+  *
+  * \tparam _MatrixType the type of the matrix of which we are computing the QR decomposition
+  *
+  * This class performs a QR decomposition of a matrix \b A into matrices \b Q and \b R
+  * such that 
+  * \f[
+  *  \mathbf{A} = \mathbf{Q} \, \mathbf{R}
+  * \f]
+  * by using Householder transformations. Here, \b Q a unitary matrix and \b R an upper triangular matrix.
+  * The result is stored in a compact way compatible with LAPACK.
+  *
+  * Note that no pivoting is performed. This is \b not a rank-revealing decomposition.
+  * If you want that feature, use FullPivHouseholderQR or ColPivHouseholderQR instead.
+  *
+  * This Householder QR decomposition is faster, but less numerically stable and less feature-full than
+  * FullPivHouseholderQR or ColPivHouseholderQR.
+  *
+  * This class supports the \link InplaceDecomposition inplace decomposition \endlink mechanism.
+  *
+  * \sa MatrixBase::householderQr()
+  */
+template<typename _MatrixType> class HouseholderQR
+{
+  public:
+
+    typedef _MatrixType MatrixType;
+    enum {
+      RowsAtCompileTime = MatrixType::RowsAtCompileTime,
+      ColsAtCompileTime = MatrixType::ColsAtCompileTime,
+      MaxRowsAtCompileTime = MatrixType::MaxRowsAtCompileTime,
+      MaxColsAtCompileTime = MatrixType::MaxColsAtCompileTime
+    };
+    typedef typename MatrixType::Scalar Scalar;
+    typedef typename MatrixType::RealScalar RealScalar;
+    // FIXME should be int
+    typedef typename MatrixType::StorageIndex StorageIndex;
+    typedef Matrix<Scalar, RowsAtCompileTime, RowsAtCompileTime, (MatrixType::Flags&RowMajorBit) ? RowMajor : ColMajor, MaxRowsAtCompileTime, MaxRowsAtCompileTime> MatrixQType;
+    typedef typename internal::plain_diag_type<MatrixType>::type HCoeffsType;
+    typedef typename internal::plain_row_type<MatrixType>::type RowVectorType;
+    typedef HouseholderSequence<MatrixType,typename internal::remove_all<typename HCoeffsType::ConjugateReturnType>::type> HouseholderSequenceType;
+
+    /**
+      * \brief Default Constructor.
+      *
+      * The default constructor is useful in cases in which the user intends to
+      * perform decompositions via HouseholderQR::compute(const MatrixType&).
+      */
+    HouseholderQR() : m_qr(), m_hCoeffs(), m_temp(), m_isInitialized(false) {}
+
+    /** \brief Default Constructor with memory preallocation
+      *
+      * Like the default constructor but with preallocation of the internal data
+      * according to the specified problem \a size.
+      * \sa HouseholderQR()
+      */
+    HouseholderQR(Index rows, Index cols)
+      : m_qr(rows, cols),
+        m_hCoeffs((std::min)(rows,cols)),
+        m_temp(cols),
+        m_isInitialized(false) {}
+
+    /** \brief Constructs a QR factorization from a given matrix
+      *
+      * This constructor computes the QR factorization of the matrix \a matrix by calling
+      * the method compute(). It is a short cut for:
+      * 
+      * \code
+      * HouseholderQR<MatrixType> qr(matrix.rows(), matrix.cols());
+      * qr.compute(matrix);
+      * \endcode
+      * 
+      * \sa compute()
+      */
+    template<typename InputType>
+    explicit HouseholderQR(const EigenBase<InputType>& matrix)
+      : m_qr(matrix.rows(), matrix.cols()),
+        m_hCoeffs((std::min)(matrix.rows(),matrix.cols())),
+        m_temp(matrix.cols()),
+        m_isInitialized(false)
+    {
+      compute(matrix.derived());
+    }
+
+
+    /** \brief Constructs a QR factorization from a given matrix
+      *
+      * This overloaded constructor is provided for \link InplaceDecomposition inplace decomposition \endlink when
+      * \c MatrixType is a Eigen::Ref.
+      *
+      * \sa HouseholderQR(const EigenBase&)
+      */
+    template<typename InputType>
+    explicit HouseholderQR(EigenBase<InputType>& matrix)
+      : m_qr(matrix.derived()),
+        m_hCoeffs((std::min)(matrix.rows(),matrix.cols())),
+        m_temp(matrix.cols()),
+        m_isInitialized(false)
+    {
+      computeInPlace();
+    }
+
+    /** This method finds a solution x to the equation Ax=b, where A is the matrix of which
+      * *this is the QR decomposition, if any exists.
+      *
+      * \param b the right-hand-side of the equation to solve.
+      *
+      * \returns a solution.
+      *
+      * \note_about_checking_solutions
+      *
+      * \note_about_arbitrary_choice_of_solution
+      *
+      * Example: \include HouseholderQR_solve.cpp
+      * Output: \verbinclude HouseholderQR_solve.out
+      */
+    template<typename Rhs>
+    inline const Solve<HouseholderQR, Rhs>
+    solve(const MatrixBase<Rhs>& b) const
+    {
+      eigen_assert(m_isInitialized && "HouseholderQR is not initialized.");
+      return Solve<HouseholderQR, Rhs>(*this, b.derived());
+    }
+
+    /** This method returns an expression of the unitary matrix Q as a sequence of Householder transformations.
+      *
+      * The returned expression can directly be used to perform matrix products. It can also be assigned to a dense Matrix object.
+      * Here is an example showing how to recover the full or thin matrix Q, as well as how to perform matrix products using operator*:
+      *
+      * Example: \include HouseholderQR_householderQ.cpp
+      * Output: \verbinclude HouseholderQR_householderQ.out
+      */
+    HouseholderSequenceType householderQ() const
+    {
+      eigen_assert(m_isInitialized && "HouseholderQR is not initialized.");
+      return HouseholderSequenceType(m_qr, m_hCoeffs.conjugate());
+    }
+
+    /** \returns a reference to the matrix where the Householder QR decomposition is stored
+      * in a LAPACK-compatible way.
+      */
+    const MatrixType& matrixQR() const
+    {
+        eigen_assert(m_isInitialized && "HouseholderQR is not initialized.");
+        return m_qr;
+    }
+
+    template<typename InputType>
+    HouseholderQR& compute(const EigenBase<InputType>& matrix) {
+      m_qr = matrix.derived();
+      computeInPlace();
+      return *this;
+    }
+
+    /** \returns the absolute value of the determinant of the matrix of which
+      * *this is the QR decomposition. It has only linear complexity
+      * (that is, O(n) where n is the dimension of the square matrix)
+      * as the QR decomposition has already been computed.
+      *
+      * \note This is only for square matrices.
+      *
+      * \warning a determinant can be very big or small, so for matrices
+      * of large enough dimension, there is a risk of overflow/underflow.
+      * One way to work around that is to use logAbsDeterminant() instead.
+      *
+      * \sa logAbsDeterminant(), MatrixBase::determinant()
+      */
+    typename MatrixType::RealScalar absDeterminant() const;
+
+    /** \returns the natural log of the absolute value of the determinant of the matrix of which
+      * *this is the QR decomposition. It has only linear complexity
+      * (that is, O(n) where n is the dimension of the square matrix)
+      * as the QR decomposition has already been computed.
+      *
+      * \note This is only for square matrices.
+      *
+      * \note This method is useful to work around the risk of overflow/underflow that's inherent
+      * to determinant computation.
+      *
+      * \sa absDeterminant(), MatrixBase::determinant()
+      */
+    typename MatrixType::RealScalar logAbsDeterminant() const;
+
+    inline Index rows() const { return m_qr.rows(); }
+    inline Index cols() const { return m_qr.cols(); }
+    
+    /** \returns a const reference to the vector of Householder coefficients used to represent the factor \c Q.
+      * 
+      * For advanced uses only.
+      */
+    const HCoeffsType& hCoeffs() const { return m_hCoeffs; }
+    
+    #ifndef EIGEN_PARSED_BY_DOXYGEN
+    template<typename RhsType, typename DstType>
+    EIGEN_DEVICE_FUNC
+    void _solve_impl(const RhsType &rhs, DstType &dst) const;
+    #endif
+
+  protected:
+    
+    static void check_template_parameters()
+    {
+      EIGEN_STATIC_ASSERT_NON_INTEGER(Scalar);
+    }
+
+    void computeInPlace();
+    
+    MatrixType m_qr;
+    HCoeffsType m_hCoeffs;
+    RowVectorType m_temp;
+    bool m_isInitialized;
+};
+
+template<typename MatrixType>
+typename MatrixType::RealScalar HouseholderQR<MatrixType>::absDeterminant() const
+{
+  using std::abs;
+  eigen_assert(m_isInitialized && "HouseholderQR is not initialized.");
+  eigen_assert(m_qr.rows() == m_qr.cols() && "You can't take the determinant of a non-square matrix!");
+  return abs(m_qr.diagonal().prod());
+}
+
+template<typename MatrixType>
+typename MatrixType::RealScalar HouseholderQR<MatrixType>::logAbsDeterminant() const
+{
+  eigen_assert(m_isInitialized && "HouseholderQR is not initialized.");
+  eigen_assert(m_qr.rows() == m_qr.cols() && "You can't take the determinant of a non-square matrix!");
+  return m_qr.diagonal().cwiseAbs().array().log().sum();
+}
+
+namespace internal {
+
+/** \internal */
+template<typename MatrixQR, typename HCoeffs>
+void householder_qr_inplace_unblocked(MatrixQR& mat, HCoeffs& hCoeffs, typename MatrixQR::Scalar* tempData = 0)
+{
+  typedef typename MatrixQR::Scalar Scalar;
+  typedef typename MatrixQR::RealScalar RealScalar;
+  Index rows = mat.rows();
+  Index cols = mat.cols();
+  Index size = (std::min)(rows,cols);
+
+  eigen_assert(hCoeffs.size() == size);
+
+  typedef Matrix<Scalar,MatrixQR::ColsAtCompileTime,1> TempType;
+  TempType tempVector;
+  if(tempData==0)
+  {
+    tempVector.resize(cols);
+    tempData = tempVector.data();
+  }
+
+  for(Index k = 0; k < size; ++k)
+  {
+    Index remainingRows = rows - k;
+    Index remainingCols = cols - k - 1;
+
+    RealScalar beta;
+    mat.col(k).tail(remainingRows).makeHouseholderInPlace(hCoeffs.coeffRef(k), beta);
+    mat.coeffRef(k,k) = beta;
+
+    // apply H to remaining part of m_qr from the left
+    mat.bottomRightCorner(remainingRows, remainingCols)
+        .applyHouseholderOnTheLeft(mat.col(k).tail(remainingRows-1), hCoeffs.coeffRef(k), tempData+k+1);
+  }
+}
+
+/** \internal */
+template<typename MatrixQR, typename HCoeffs,
+  typename MatrixQRScalar = typename MatrixQR::Scalar,
+  bool InnerStrideIsOne = (MatrixQR::InnerStrideAtCompileTime == 1 && HCoeffs::InnerStrideAtCompileTime == 1)>
+struct householder_qr_inplace_blocked
+{
+  // This is specialized for MKL-supported Scalar types in HouseholderQR_MKL.h
+  static void run(MatrixQR& mat, HCoeffs& hCoeffs, Index maxBlockSize=32,
+      typename MatrixQR::Scalar* tempData = 0)
+  {
+    typedef typename MatrixQR::Scalar Scalar;
+    typedef Block<MatrixQR,Dynamic,Dynamic> BlockType;
+
+    Index rows = mat.rows();
+    Index cols = mat.cols();
+    Index size = (std::min)(rows, cols);
+
+    typedef Matrix<Scalar,Dynamic,1,ColMajor,MatrixQR::MaxColsAtCompileTime,1> TempType;
+    TempType tempVector;
+    if(tempData==0)
+    {
+      tempVector.resize(cols);
+      tempData = tempVector.data();
+    }
+
+    Index blockSize = (std::min)(maxBlockSize,size);
+
+    Index k = 0;
+    for (k = 0; k < size; k += blockSize)
+    {
+      Index bs = (std::min)(size-k,blockSize);  // actual size of the block
+      Index tcols = cols - k - bs;              // trailing columns
+      Index brows = rows-k;                     // rows of the block
+
+      // partition the matrix:
+      //        A00 | A01 | A02
+      // mat  = A10 | A11 | A12
+      //        A20 | A21 | A22
+      // and performs the qr dec of [A11^T A12^T]^T
+      // and update [A21^T A22^T]^T using level 3 operations.
+      // Finally, the algorithm continue on A22
+
+      BlockType A11_21 = mat.block(k,k,brows,bs);
+      Block<HCoeffs,Dynamic,1> hCoeffsSegment = hCoeffs.segment(k,bs);
+
+      householder_qr_inplace_unblocked(A11_21, hCoeffsSegment, tempData);
+
+      if(tcols)
+      {
+        BlockType A21_22 = mat.block(k,k+bs,brows,tcols);
+        apply_block_householder_on_the_left(A21_22,A11_21,hCoeffsSegment, false); // false == backward
+      }
+    }
+  }
+};
+
+} // end namespace internal
+
+#ifndef EIGEN_PARSED_BY_DOXYGEN
+template<typename _MatrixType>
+template<typename RhsType, typename DstType>
+void HouseholderQR<_MatrixType>::_solve_impl(const RhsType &rhs, DstType &dst) const
+{
+  const Index rank = (std::min)(rows(), cols());
+  eigen_assert(rhs.rows() == rows());
+
+  typename RhsType::PlainObject c(rhs);
+
+  // Note that the matrix Q = H_0^* H_1^*... so its inverse is Q^* = (H_0 H_1 ...)^T
+  c.applyOnTheLeft(householderSequence(
+    m_qr.leftCols(rank),
+    m_hCoeffs.head(rank)).transpose()
+  );
+
+  m_qr.topLeftCorner(rank, rank)
+      .template triangularView<Upper>()
+      .solveInPlace(c.topRows(rank));
+
+  dst.topRows(rank) = c.topRows(rank);
+  dst.bottomRows(cols()-rank).setZero();
+}
+#endif
+
+/** Performs the QR factorization of the given matrix \a matrix. The result of
+  * the factorization is stored into \c *this, and a reference to \c *this
+  * is returned.
+  *
+  * \sa class HouseholderQR, HouseholderQR(const MatrixType&)
+  */
+template<typename MatrixType>
+void HouseholderQR<MatrixType>::computeInPlace()
+{
+  check_template_parameters();
+  
+  Index rows = m_qr.rows();
+  Index cols = m_qr.cols();
+  Index size = (std::min)(rows,cols);
+
+  m_hCoeffs.resize(size);
+
+  m_temp.resize(cols);
+
+  internal::householder_qr_inplace_blocked<MatrixType, HCoeffsType>::run(m_qr, m_hCoeffs, 48, m_temp.data());
+
+  m_isInitialized = true;
+}
+
+/** \return the Householder QR decomposition of \c *this.
+  *
+  * \sa class HouseholderQR
+  */
+template<typename Derived>
+const HouseholderQR<typename MatrixBase<Derived>::PlainObject>
+MatrixBase<Derived>::householderQr() const
+{
+  return HouseholderQR<PlainObject>(eval());
+}
+
+} // end namespace Eigen
+
+#endif // EIGEN_QR_H
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/QR/HouseholderQR_LAPACKE.h
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/QR/HouseholderQR_LAPACKE.h	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/QR/HouseholderQR_LAPACKE.h	(revision 3761)
@@ -0,0 +1,68 @@
+/*
+ Copyright (c) 2011, Intel Corporation. All rights reserved.
+
+ Redistribution and use in source and binary forms, with or without modification,
+ are permitted provided that the following conditions are met:
+
+ * Redistributions of source code must retain the above copyright notice, this
+   list of conditions and the following disclaimer.
+ * Redistributions in binary form must reproduce the above copyright notice,
+   this list of conditions and the following disclaimer in the documentation
+   and/or other materials provided with the distribution.
+ * Neither the name of Intel Corporation nor the names of its contributors may
+   be used to endorse or promote products derived from this software without
+   specific prior written permission.
+
+ THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND
+ ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED
+ WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
+ DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE LIABLE FOR
+ ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES
+ (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES;
+ LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON
+ ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
+ (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS
+ SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
+
+ ********************************************************************************
+ *   Content : Eigen bindings to LAPACKe
+ *    Householder QR decomposition of a matrix w/o pivoting based on
+ *    LAPACKE_?geqrf function.
+ ********************************************************************************
+*/
+
+#ifndef EIGEN_QR_LAPACKE_H
+#define EIGEN_QR_LAPACKE_H
+
+namespace Eigen { 
+
+namespace internal {
+
+/** \internal Specialization for the data types supported by LAPACKe */
+
+#define EIGEN_LAPACKE_QR_NOPIV(EIGTYPE, LAPACKE_TYPE, LAPACKE_PREFIX) \
+template<typename MatrixQR, typename HCoeffs> \
+struct householder_qr_inplace_blocked<MatrixQR, HCoeffs, EIGTYPE, true> \
+{ \
+  static void run(MatrixQR& mat, HCoeffs& hCoeffs, Index = 32, \
+      typename MatrixQR::Scalar* = 0) \
+  { \
+    lapack_int m = (lapack_int) mat.rows(); \
+    lapack_int n = (lapack_int) mat.cols(); \
+    lapack_int lda = (lapack_int) mat.outerStride(); \
+    lapack_int matrix_order = (MatrixQR::IsRowMajor) ? LAPACK_ROW_MAJOR : LAPACK_COL_MAJOR; \
+    LAPACKE_##LAPACKE_PREFIX##geqrf( matrix_order, m, n, (LAPACKE_TYPE*)mat.data(), lda, (LAPACKE_TYPE*)hCoeffs.data()); \
+    hCoeffs.adjointInPlace(); \
+  } \
+};
+
+EIGEN_LAPACKE_QR_NOPIV(double, double, d)
+EIGEN_LAPACKE_QR_NOPIV(float, float, s)
+EIGEN_LAPACKE_QR_NOPIV(dcomplex, lapack_complex_double, z)
+EIGEN_LAPACKE_QR_NOPIV(scomplex, lapack_complex_float, c)
+
+} // end namespace internal
+
+} // end namespace Eigen
+
+#endif // EIGEN_QR_LAPACKE_H
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/QR/FullPivHouseholderQR.h
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/QR/FullPivHouseholderQR.h	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/QR/FullPivHouseholderQR.h	(revision 3761)
@@ -0,0 +1,676 @@
+// This file is part of Eigen, a lightweight C++ template library
+// for linear algebra.
+//
+// Copyright (C) 2008-2009 Gael Guennebaud <gael.guennebaud@inria.fr>
+// Copyright (C) 2009 Benoit Jacob <jacob.benoit.1@gmail.com>
+//
+// This Source Code Form is subject to the terms of the Mozilla
+// Public License v. 2.0. If a copy of the MPL was not distributed
+// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
+
+#ifndef EIGEN_FULLPIVOTINGHOUSEHOLDERQR_H
+#define EIGEN_FULLPIVOTINGHOUSEHOLDERQR_H
+
+namespace Eigen { 
+
+namespace internal {
+
+template<typename _MatrixType> struct traits<FullPivHouseholderQR<_MatrixType> >
+ : traits<_MatrixType>
+{
+  enum { Flags = 0 };
+};
+
+template<typename MatrixType> struct FullPivHouseholderQRMatrixQReturnType;
+
+template<typename MatrixType>
+struct traits<FullPivHouseholderQRMatrixQReturnType<MatrixType> >
+{
+  typedef typename MatrixType::PlainObject ReturnType;
+};
+
+} // end namespace internal
+
+/** \ingroup QR_Module
+  *
+  * \class FullPivHouseholderQR
+  *
+  * \brief Householder rank-revealing QR decomposition of a matrix with full pivoting
+  *
+  * \tparam _MatrixType the type of the matrix of which we are computing the QR decomposition
+  *
+  * This class performs a rank-revealing QR decomposition of a matrix \b A into matrices \b P, \b P', \b Q and \b R
+  * such that 
+  * \f[
+  *  \mathbf{P} \, \mathbf{A} \, \mathbf{P}' = \mathbf{Q} \, \mathbf{R}
+  * \f]
+  * by using Householder transformations. Here, \b P and \b P' are permutation matrices, \b Q a unitary matrix 
+  * and \b R an upper triangular matrix.
+  *
+  * This decomposition performs a very prudent full pivoting in order to be rank-revealing and achieve optimal
+  * numerical stability. The trade-off is that it is slower than HouseholderQR and ColPivHouseholderQR.
+  *
+  * This class supports the \link InplaceDecomposition inplace decomposition \endlink mechanism.
+  * 
+  * \sa MatrixBase::fullPivHouseholderQr()
+  */
+template<typename _MatrixType> class FullPivHouseholderQR
+{
+  public:
+
+    typedef _MatrixType MatrixType;
+    enum {
+      RowsAtCompileTime = MatrixType::RowsAtCompileTime,
+      ColsAtCompileTime = MatrixType::ColsAtCompileTime,
+      MaxRowsAtCompileTime = MatrixType::MaxRowsAtCompileTime,
+      MaxColsAtCompileTime = MatrixType::MaxColsAtCompileTime
+    };
+    typedef typename MatrixType::Scalar Scalar;
+    typedef typename MatrixType::RealScalar RealScalar;
+    // FIXME should be int
+    typedef typename MatrixType::StorageIndex StorageIndex;
+    typedef internal::FullPivHouseholderQRMatrixQReturnType<MatrixType> MatrixQReturnType;
+    typedef typename internal::plain_diag_type<MatrixType>::type HCoeffsType;
+    typedef Matrix<StorageIndex, 1,
+                   EIGEN_SIZE_MIN_PREFER_DYNAMIC(ColsAtCompileTime,RowsAtCompileTime), RowMajor, 1,
+                   EIGEN_SIZE_MIN_PREFER_FIXED(MaxColsAtCompileTime,MaxRowsAtCompileTime)> IntDiagSizeVectorType;
+    typedef PermutationMatrix<ColsAtCompileTime, MaxColsAtCompileTime> PermutationType;
+    typedef typename internal::plain_row_type<MatrixType>::type RowVectorType;
+    typedef typename internal::plain_col_type<MatrixType>::type ColVectorType;
+    typedef typename MatrixType::PlainObject PlainObject;
+
+    /** \brief Default Constructor.
+      *
+      * The default constructor is useful in cases in which the user intends to
+      * perform decompositions via FullPivHouseholderQR::compute(const MatrixType&).
+      */
+    FullPivHouseholderQR()
+      : m_qr(),
+        m_hCoeffs(),
+        m_rows_transpositions(),
+        m_cols_transpositions(),
+        m_cols_permutation(),
+        m_temp(),
+        m_isInitialized(false),
+        m_usePrescribedThreshold(false) {}
+
+    /** \brief Default Constructor with memory preallocation
+      *
+      * Like the default constructor but with preallocation of the internal data
+      * according to the specified problem \a size.
+      * \sa FullPivHouseholderQR()
+      */
+    FullPivHouseholderQR(Index rows, Index cols)
+      : m_qr(rows, cols),
+        m_hCoeffs((std::min)(rows,cols)),
+        m_rows_transpositions((std::min)(rows,cols)),
+        m_cols_transpositions((std::min)(rows,cols)),
+        m_cols_permutation(cols),
+        m_temp(cols),
+        m_isInitialized(false),
+        m_usePrescribedThreshold(false) {}
+
+    /** \brief Constructs a QR factorization from a given matrix
+      *
+      * This constructor computes the QR factorization of the matrix \a matrix by calling
+      * the method compute(). It is a short cut for:
+      * 
+      * \code
+      * FullPivHouseholderQR<MatrixType> qr(matrix.rows(), matrix.cols());
+      * qr.compute(matrix);
+      * \endcode
+      * 
+      * \sa compute()
+      */
+    template<typename InputType>
+    explicit FullPivHouseholderQR(const EigenBase<InputType>& matrix)
+      : m_qr(matrix.rows(), matrix.cols()),
+        m_hCoeffs((std::min)(matrix.rows(), matrix.cols())),
+        m_rows_transpositions((std::min)(matrix.rows(), matrix.cols())),
+        m_cols_transpositions((std::min)(matrix.rows(), matrix.cols())),
+        m_cols_permutation(matrix.cols()),
+        m_temp(matrix.cols()),
+        m_isInitialized(false),
+        m_usePrescribedThreshold(false)
+    {
+      compute(matrix.derived());
+    }
+
+    /** \brief Constructs a QR factorization from a given matrix
+      *
+      * This overloaded constructor is provided for \link InplaceDecomposition inplace decomposition \endlink when \c MatrixType is a Eigen::Ref.
+      *
+      * \sa FullPivHouseholderQR(const EigenBase&)
+      */
+    template<typename InputType>
+    explicit FullPivHouseholderQR(EigenBase<InputType>& matrix)
+      : m_qr(matrix.derived()),
+        m_hCoeffs((std::min)(matrix.rows(), matrix.cols())),
+        m_rows_transpositions((std::min)(matrix.rows(), matrix.cols())),
+        m_cols_transpositions((std::min)(matrix.rows(), matrix.cols())),
+        m_cols_permutation(matrix.cols()),
+        m_temp(matrix.cols()),
+        m_isInitialized(false),
+        m_usePrescribedThreshold(false)
+    {
+      computeInPlace();
+    }
+
+    /** This method finds a solution x to the equation Ax=b, where A is the matrix of which
+      * \c *this is the QR decomposition.
+      *
+      * \param b the right-hand-side of the equation to solve.
+      *
+      * \returns the exact or least-square solution if the rank is greater or equal to the number of columns of A,
+      * and an arbitrary solution otherwise.
+      *
+      * \note_about_checking_solutions
+      *
+      * \note_about_arbitrary_choice_of_solution
+      *
+      * Example: \include FullPivHouseholderQR_solve.cpp
+      * Output: \verbinclude FullPivHouseholderQR_solve.out
+      */
+    template<typename Rhs>
+    inline const Solve<FullPivHouseholderQR, Rhs>
+    solve(const MatrixBase<Rhs>& b) const
+    {
+      eigen_assert(m_isInitialized && "FullPivHouseholderQR is not initialized.");
+      return Solve<FullPivHouseholderQR, Rhs>(*this, b.derived());
+    }
+
+    /** \returns Expression object representing the matrix Q
+      */
+    MatrixQReturnType matrixQ(void) const;
+
+    /** \returns a reference to the matrix where the Householder QR decomposition is stored
+      */
+    const MatrixType& matrixQR() const
+    {
+      eigen_assert(m_isInitialized && "FullPivHouseholderQR is not initialized.");
+      return m_qr;
+    }
+
+    template<typename InputType>
+    FullPivHouseholderQR& compute(const EigenBase<InputType>& matrix);
+
+    /** \returns a const reference to the column permutation matrix */
+    const PermutationType& colsPermutation() const
+    {
+      eigen_assert(m_isInitialized && "FullPivHouseholderQR is not initialized.");
+      return m_cols_permutation;
+    }
+
+    /** \returns a const reference to the vector of indices representing the rows transpositions */
+    const IntDiagSizeVectorType& rowsTranspositions() const
+    {
+      eigen_assert(m_isInitialized && "FullPivHouseholderQR is not initialized.");
+      return m_rows_transpositions;
+    }
+
+    /** \returns the absolute value of the determinant of the matrix of which
+      * *this is the QR decomposition. It has only linear complexity
+      * (that is, O(n) where n is the dimension of the square matrix)
+      * as the QR decomposition has already been computed.
+      *
+      * \note This is only for square matrices.
+      *
+      * \warning a determinant can be very big or small, so for matrices
+      * of large enough dimension, there is a risk of overflow/underflow.
+      * One way to work around that is to use logAbsDeterminant() instead.
+      *
+      * \sa logAbsDeterminant(), MatrixBase::determinant()
+      */
+    typename MatrixType::RealScalar absDeterminant() const;
+
+    /** \returns the natural log of the absolute value of the determinant of the matrix of which
+      * *this is the QR decomposition. It has only linear complexity
+      * (that is, O(n) where n is the dimension of the square matrix)
+      * as the QR decomposition has already been computed.
+      *
+      * \note This is only for square matrices.
+      *
+      * \note This method is useful to work around the risk of overflow/underflow that's inherent
+      * to determinant computation.
+      *
+      * \sa absDeterminant(), MatrixBase::determinant()
+      */
+    typename MatrixType::RealScalar logAbsDeterminant() const;
+
+    /** \returns the rank of the matrix of which *this is the QR decomposition.
+      *
+      * \note This method has to determine which pivots should be considered nonzero.
+      *       For that, it uses the threshold value that you can control by calling
+      *       setThreshold(const RealScalar&).
+      */
+    inline Index rank() const
+    {
+      using std::abs;
+      eigen_assert(m_isInitialized && "FullPivHouseholderQR is not initialized.");
+      RealScalar premultiplied_threshold = abs(m_maxpivot) * threshold();
+      Index result = 0;
+      for(Index i = 0; i < m_nonzero_pivots; ++i)
+        result += (abs(m_qr.coeff(i,i)) > premultiplied_threshold);
+      return result;
+    }
+
+    /** \returns the dimension of the kernel of the matrix of which *this is the QR decomposition.
+      *
+      * \note This method has to determine which pivots should be considered nonzero.
+      *       For that, it uses the threshold value that you can control by calling
+      *       setThreshold(const RealScalar&).
+      */
+    inline Index dimensionOfKernel() const
+    {
+      eigen_assert(m_isInitialized && "FullPivHouseholderQR is not initialized.");
+      return cols() - rank();
+    }
+
+    /** \returns true if the matrix of which *this is the QR decomposition represents an injective
+      *          linear map, i.e. has trivial kernel; false otherwise.
+      *
+      * \note This method has to determine which pivots should be considered nonzero.
+      *       For that, it uses the threshold value that you can control by calling
+      *       setThreshold(const RealScalar&).
+      */
+    inline bool isInjective() const
+    {
+      eigen_assert(m_isInitialized && "FullPivHouseholderQR is not initialized.");
+      return rank() == cols();
+    }
+
+    /** \returns true if the matrix of which *this is the QR decomposition represents a surjective
+      *          linear map; false otherwise.
+      *
+      * \note This method has to determine which pivots should be considered nonzero.
+      *       For that, it uses the threshold value that you can control by calling
+      *       setThreshold(const RealScalar&).
+      */
+    inline bool isSurjective() const
+    {
+      eigen_assert(m_isInitialized && "FullPivHouseholderQR is not initialized.");
+      return rank() == rows();
+    }
+
+    /** \returns true if the matrix of which *this is the QR decomposition is invertible.
+      *
+      * \note This method has to determine which pivots should be considered nonzero.
+      *       For that, it uses the threshold value that you can control by calling
+      *       setThreshold(const RealScalar&).
+      */
+    inline bool isInvertible() const
+    {
+      eigen_assert(m_isInitialized && "FullPivHouseholderQR is not initialized.");
+      return isInjective() && isSurjective();
+    }
+
+    /** \returns the inverse of the matrix of which *this is the QR decomposition.
+      *
+      * \note If this matrix is not invertible, the returned matrix has undefined coefficients.
+      *       Use isInvertible() to first determine whether this matrix is invertible.
+      */
+    inline const Inverse<FullPivHouseholderQR> inverse() const
+    {
+      eigen_assert(m_isInitialized && "FullPivHouseholderQR is not initialized.");
+      return Inverse<FullPivHouseholderQR>(*this);
+    }
+
+    inline Index rows() const { return m_qr.rows(); }
+    inline Index cols() const { return m_qr.cols(); }
+    
+    /** \returns a const reference to the vector of Householder coefficients used to represent the factor \c Q.
+      * 
+      * For advanced uses only.
+      */
+    const HCoeffsType& hCoeffs() const { return m_hCoeffs; }
+
+    /** Allows to prescribe a threshold to be used by certain methods, such as rank(),
+      * who need to determine when pivots are to be considered nonzero. This is not used for the
+      * QR decomposition itself.
+      *
+      * When it needs to get the threshold value, Eigen calls threshold(). By default, this
+      * uses a formula to automatically determine a reasonable threshold.
+      * Once you have called the present method setThreshold(const RealScalar&),
+      * your value is used instead.
+      *
+      * \param threshold The new value to use as the threshold.
+      *
+      * A pivot will be considered nonzero if its absolute value is strictly greater than
+      *  \f$ \vert pivot \vert \leqslant threshold \times \vert maxpivot \vert \f$
+      * where maxpivot is the biggest pivot.
+      *
+      * If you want to come back to the default behavior, call setThreshold(Default_t)
+      */
+    FullPivHouseholderQR& setThreshold(const RealScalar& threshold)
+    {
+      m_usePrescribedThreshold = true;
+      m_prescribedThreshold = threshold;
+      return *this;
+    }
+
+    /** Allows to come back to the default behavior, letting Eigen use its default formula for
+      * determining the threshold.
+      *
+      * You should pass the special object Eigen::Default as parameter here.
+      * \code qr.setThreshold(Eigen::Default); \endcode
+      *
+      * See the documentation of setThreshold(const RealScalar&).
+      */
+    FullPivHouseholderQR& setThreshold(Default_t)
+    {
+      m_usePrescribedThreshold = false;
+      return *this;
+    }
+
+    /** Returns the threshold that will be used by certain methods such as rank().
+      *
+      * See the documentation of setThreshold(const RealScalar&).
+      */
+    RealScalar threshold() const
+    {
+      eigen_assert(m_isInitialized || m_usePrescribedThreshold);
+      return m_usePrescribedThreshold ? m_prescribedThreshold
+      // this formula comes from experimenting (see "LU precision tuning" thread on the list)
+      // and turns out to be identical to Higham's formula used already in LDLt.
+                                      : NumTraits<Scalar>::epsilon() * RealScalar(m_qr.diagonalSize());
+    }
+
+    /** \returns the number of nonzero pivots in the QR decomposition.
+      * Here nonzero is meant in the exact sense, not in a fuzzy sense.
+      * So that notion isn't really intrinsically interesting, but it is
+      * still useful when implementing algorithms.
+      *
+      * \sa rank()
+      */
+    inline Index nonzeroPivots() const
+    {
+      eigen_assert(m_isInitialized && "LU is not initialized.");
+      return m_nonzero_pivots;
+    }
+
+    /** \returns the absolute value of the biggest pivot, i.e. the biggest
+      *          diagonal coefficient of U.
+      */
+    RealScalar maxPivot() const { return m_maxpivot; }
+    
+    #ifndef EIGEN_PARSED_BY_DOXYGEN
+    template<typename RhsType, typename DstType>
+    EIGEN_DEVICE_FUNC
+    void _solve_impl(const RhsType &rhs, DstType &dst) const;
+    #endif
+
+  protected:
+    
+    static void check_template_parameters()
+    {
+      EIGEN_STATIC_ASSERT_NON_INTEGER(Scalar);
+    }
+    
+    void computeInPlace();
+    
+    MatrixType m_qr;
+    HCoeffsType m_hCoeffs;
+    IntDiagSizeVectorType m_rows_transpositions;
+    IntDiagSizeVectorType m_cols_transpositions;
+    PermutationType m_cols_permutation;
+    RowVectorType m_temp;
+    bool m_isInitialized, m_usePrescribedThreshold;
+    RealScalar m_prescribedThreshold, m_maxpivot;
+    Index m_nonzero_pivots;
+    RealScalar m_precision;
+    Index m_det_pq;
+};
+
+template<typename MatrixType>
+typename MatrixType::RealScalar FullPivHouseholderQR<MatrixType>::absDeterminant() const
+{
+  using std::abs;
+  eigen_assert(m_isInitialized && "FullPivHouseholderQR is not initialized.");
+  eigen_assert(m_qr.rows() == m_qr.cols() && "You can't take the determinant of a non-square matrix!");
+  return abs(m_qr.diagonal().prod());
+}
+
+template<typename MatrixType>
+typename MatrixType::RealScalar FullPivHouseholderQR<MatrixType>::logAbsDeterminant() const
+{
+  eigen_assert(m_isInitialized && "FullPivHouseholderQR is not initialized.");
+  eigen_assert(m_qr.rows() == m_qr.cols() && "You can't take the determinant of a non-square matrix!");
+  return m_qr.diagonal().cwiseAbs().array().log().sum();
+}
+
+/** Performs the QR factorization of the given matrix \a matrix. The result of
+  * the factorization is stored into \c *this, and a reference to \c *this
+  * is returned.
+  *
+  * \sa class FullPivHouseholderQR, FullPivHouseholderQR(const MatrixType&)
+  */
+template<typename MatrixType>
+template<typename InputType>
+FullPivHouseholderQR<MatrixType>& FullPivHouseholderQR<MatrixType>::compute(const EigenBase<InputType>& matrix)
+{
+  m_qr = matrix.derived();
+  computeInPlace();
+  return *this;
+}
+
+template<typename MatrixType>
+void FullPivHouseholderQR<MatrixType>::computeInPlace()
+{
+  check_template_parameters();
+
+  using std::abs;
+  Index rows = m_qr.rows();
+  Index cols = m_qr.cols();
+  Index size = (std::min)(rows,cols);
+
+  
+  m_hCoeffs.resize(size);
+
+  m_temp.resize(cols);
+
+  m_precision = NumTraits<Scalar>::epsilon() * RealScalar(size);
+
+  m_rows_transpositions.resize(size);
+  m_cols_transpositions.resize(size);
+  Index number_of_transpositions = 0;
+
+  RealScalar biggest(0);
+
+  m_nonzero_pivots = size; // the generic case is that in which all pivots are nonzero (invertible case)
+  m_maxpivot = RealScalar(0);
+
+  for (Index k = 0; k < size; ++k)
+  {
+    Index row_of_biggest_in_corner, col_of_biggest_in_corner;
+    typedef internal::scalar_score_coeff_op<Scalar> Scoring;
+    typedef typename Scoring::result_type Score;
+
+    Score score = m_qr.bottomRightCorner(rows-k, cols-k)
+                      .unaryExpr(Scoring())
+                      .maxCoeff(&row_of_biggest_in_corner, &col_of_biggest_in_corner);
+    row_of_biggest_in_corner += k;
+    col_of_biggest_in_corner += k;
+    RealScalar biggest_in_corner = internal::abs_knowing_score<Scalar>()(m_qr(row_of_biggest_in_corner, col_of_biggest_in_corner), score);
+    if(k==0) biggest = biggest_in_corner;
+
+    // if the corner is negligible, then we have less than full rank, and we can finish early
+    if(internal::isMuchSmallerThan(biggest_in_corner, biggest, m_precision))
+    {
+      m_nonzero_pivots = k;
+      for(Index i = k; i < size; i++)
+      {
+        m_rows_transpositions.coeffRef(i) = i;
+        m_cols_transpositions.coeffRef(i) = i;
+        m_hCoeffs.coeffRef(i) = Scalar(0);
+      }
+      break;
+    }
+
+    m_rows_transpositions.coeffRef(k) = row_of_biggest_in_corner;
+    m_cols_transpositions.coeffRef(k) = col_of_biggest_in_corner;
+    if(k != row_of_biggest_in_corner) {
+      m_qr.row(k).tail(cols-k).swap(m_qr.row(row_of_biggest_in_corner).tail(cols-k));
+      ++number_of_transpositions;
+    }
+    if(k != col_of_biggest_in_corner) {
+      m_qr.col(k).swap(m_qr.col(col_of_biggest_in_corner));
+      ++number_of_transpositions;
+    }
+
+    RealScalar beta;
+    m_qr.col(k).tail(rows-k).makeHouseholderInPlace(m_hCoeffs.coeffRef(k), beta);
+    m_qr.coeffRef(k,k) = beta;
+
+    // remember the maximum absolute value of diagonal coefficients
+    if(abs(beta) > m_maxpivot) m_maxpivot = abs(beta);
+
+    m_qr.bottomRightCorner(rows-k, cols-k-1)
+        .applyHouseholderOnTheLeft(m_qr.col(k).tail(rows-k-1), m_hCoeffs.coeffRef(k), &m_temp.coeffRef(k+1));
+  }
+
+  m_cols_permutation.setIdentity(cols);
+  for(Index k = 0; k < size; ++k)
+    m_cols_permutation.applyTranspositionOnTheRight(k, m_cols_transpositions.coeff(k));
+
+  m_det_pq = (number_of_transpositions%2) ? -1 : 1;
+  m_isInitialized = true;
+}
+
+#ifndef EIGEN_PARSED_BY_DOXYGEN
+template<typename _MatrixType>
+template<typename RhsType, typename DstType>
+void FullPivHouseholderQR<_MatrixType>::_solve_impl(const RhsType &rhs, DstType &dst) const
+{
+  eigen_assert(rhs.rows() == rows());
+  const Index l_rank = rank();
+
+  // FIXME introduce nonzeroPivots() and use it here. and more generally,
+  // make the same improvements in this dec as in FullPivLU.
+  if(l_rank==0)
+  {
+    dst.setZero();
+    return;
+  }
+
+  typename RhsType::PlainObject c(rhs);
+
+  Matrix<Scalar,1,RhsType::ColsAtCompileTime> temp(rhs.cols());
+  for (Index k = 0; k < l_rank; ++k)
+  {
+    Index remainingSize = rows()-k;
+    c.row(k).swap(c.row(m_rows_transpositions.coeff(k)));
+    c.bottomRightCorner(remainingSize, rhs.cols())
+      .applyHouseholderOnTheLeft(m_qr.col(k).tail(remainingSize-1),
+                               m_hCoeffs.coeff(k), &temp.coeffRef(0));
+  }
+
+  m_qr.topLeftCorner(l_rank, l_rank)
+      .template triangularView<Upper>()
+      .solveInPlace(c.topRows(l_rank));
+
+  for(Index i = 0; i < l_rank; ++i) dst.row(m_cols_permutation.indices().coeff(i)) = c.row(i);
+  for(Index i = l_rank; i < cols(); ++i) dst.row(m_cols_permutation.indices().coeff(i)).setZero();
+}
+#endif
+
+namespace internal {
+  
+template<typename DstXprType, typename MatrixType>
+struct Assignment<DstXprType, Inverse<FullPivHouseholderQR<MatrixType> >, internal::assign_op<typename DstXprType::Scalar,typename FullPivHouseholderQR<MatrixType>::Scalar>, Dense2Dense>
+{
+  typedef FullPivHouseholderQR<MatrixType> QrType;
+  typedef Inverse<QrType> SrcXprType;
+  static void run(DstXprType &dst, const SrcXprType &src, const internal::assign_op<typename DstXprType::Scalar,typename QrType::Scalar> &)
+  {    
+    dst = src.nestedExpression().solve(MatrixType::Identity(src.rows(), src.cols()));
+  }
+};
+
+/** \ingroup QR_Module
+  *
+  * \brief Expression type for return value of FullPivHouseholderQR::matrixQ()
+  *
+  * \tparam MatrixType type of underlying dense matrix
+  */
+template<typename MatrixType> struct FullPivHouseholderQRMatrixQReturnType
+  : public ReturnByValue<FullPivHouseholderQRMatrixQReturnType<MatrixType> >
+{
+public:
+  typedef typename FullPivHouseholderQR<MatrixType>::IntDiagSizeVectorType IntDiagSizeVectorType;
+  typedef typename internal::plain_diag_type<MatrixType>::type HCoeffsType;
+  typedef Matrix<typename MatrixType::Scalar, 1, MatrixType::RowsAtCompileTime, RowMajor, 1,
+                 MatrixType::MaxRowsAtCompileTime> WorkVectorType;
+
+  FullPivHouseholderQRMatrixQReturnType(const MatrixType&       qr,
+                                        const HCoeffsType&      hCoeffs,
+                                        const IntDiagSizeVectorType& rowsTranspositions)
+    : m_qr(qr),
+      m_hCoeffs(hCoeffs),
+      m_rowsTranspositions(rowsTranspositions)
+  {}
+
+  template <typename ResultType>
+  void evalTo(ResultType& result) const
+  {
+    const Index rows = m_qr.rows();
+    WorkVectorType workspace(rows);
+    evalTo(result, workspace);
+  }
+
+  template <typename ResultType>
+  void evalTo(ResultType& result, WorkVectorType& workspace) const
+  {
+    using numext::conj;
+    // compute the product H'_0 H'_1 ... H'_n-1,
+    // where H_k is the k-th Householder transformation I - h_k v_k v_k'
+    // and v_k is the k-th Householder vector [1,m_qr(k+1,k), m_qr(k+2,k), ...]
+    const Index rows = m_qr.rows();
+    const Index cols = m_qr.cols();
+    const Index size = (std::min)(rows, cols);
+    workspace.resize(rows);
+    result.setIdentity(rows, rows);
+    for (Index k = size-1; k >= 0; k--)
+    {
+      result.block(k, k, rows-k, rows-k)
+            .applyHouseholderOnTheLeft(m_qr.col(k).tail(rows-k-1), conj(m_hCoeffs.coeff(k)), &workspace.coeffRef(k));
+      result.row(k).swap(result.row(m_rowsTranspositions.coeff(k)));
+    }
+  }
+
+  Index rows() const { return m_qr.rows(); }
+  Index cols() const { return m_qr.rows(); }
+
+protected:
+  typename MatrixType::Nested m_qr;
+  typename HCoeffsType::Nested m_hCoeffs;
+  typename IntDiagSizeVectorType::Nested m_rowsTranspositions;
+};
+
+// template<typename MatrixType>
+// struct evaluator<FullPivHouseholderQRMatrixQReturnType<MatrixType> >
+//  : public evaluator<ReturnByValue<FullPivHouseholderQRMatrixQReturnType<MatrixType> > >
+// {};
+
+} // end namespace internal
+
+template<typename MatrixType>
+inline typename FullPivHouseholderQR<MatrixType>::MatrixQReturnType FullPivHouseholderQR<MatrixType>::matrixQ() const
+{
+  eigen_assert(m_isInitialized && "FullPivHouseholderQR is not initialized.");
+  return MatrixQReturnType(m_qr, m_hCoeffs, m_rows_transpositions);
+}
+
+/** \return the full-pivoting Householder QR decomposition of \c *this.
+  *
+  * \sa class FullPivHouseholderQR
+  */
+template<typename Derived>
+const FullPivHouseholderQR<typename MatrixBase<Derived>::PlainObject>
+MatrixBase<Derived>::fullPivHouseholderQr() const
+{
+  return FullPivHouseholderQR<PlainObject>(eval());
+}
+
+} // end namespace Eigen
+
+#endif // EIGEN_FULLPIVOTINGHOUSEHOLDERQR_H
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/SPQRSupport/SuiteSparseQRSupport.h
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/SPQRSupport/SuiteSparseQRSupport.h	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/SPQRSupport/SuiteSparseQRSupport.h	(revision 3761)
@@ -0,0 +1,313 @@
+// This file is part of Eigen, a lightweight C++ template library
+// for linear algebra.
+//
+// Copyright (C) 2012 Desire Nuentsa <desire.nuentsa_wakam@inria.fr>
+// Copyright (C) 2014 Gael Guennebaud <gael.guennebaud@inria.fr>
+//
+// This Source Code Form is subject to the terms of the Mozilla
+// Public License v. 2.0. If a copy of the MPL was not distributed
+// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
+
+#ifndef EIGEN_SUITESPARSEQRSUPPORT_H
+#define EIGEN_SUITESPARSEQRSUPPORT_H
+
+namespace Eigen {
+  
+  template<typename MatrixType> class SPQR; 
+  template<typename SPQRType> struct SPQRMatrixQReturnType; 
+  template<typename SPQRType> struct SPQRMatrixQTransposeReturnType; 
+  template <typename SPQRType, typename Derived> struct SPQR_QProduct;
+  namespace internal {
+    template <typename SPQRType> struct traits<SPQRMatrixQReturnType<SPQRType> >
+    {
+      typedef typename SPQRType::MatrixType ReturnType;
+    };
+    template <typename SPQRType> struct traits<SPQRMatrixQTransposeReturnType<SPQRType> >
+    {
+      typedef typename SPQRType::MatrixType ReturnType;
+    };
+    template <typename SPQRType, typename Derived> struct traits<SPQR_QProduct<SPQRType, Derived> >
+    {
+      typedef typename Derived::PlainObject ReturnType;
+    };
+  } // End namespace internal
+  
+/**
+  * \ingroup SPQRSupport_Module
+  * \class SPQR
+  * \brief Sparse QR factorization based on SuiteSparseQR library
+  *
+  * This class is used to perform a multithreaded and multifrontal rank-revealing QR decomposition
+  * of sparse matrices. The result is then used to solve linear leasts_square systems.
+  * Clearly, a QR factorization is returned such that A*P = Q*R where :
+  *
+  * P is the column permutation. Use colsPermutation() to get it.
+  *
+  * Q is the orthogonal matrix represented as Householder reflectors.
+  * Use matrixQ() to get an expression and matrixQ().transpose() to get the transpose.
+  * You can then apply it to a vector.
+  *
+  * R is the sparse triangular factor. Use matrixQR() to get it as SparseMatrix.
+  * NOTE : The Index type of R is always SuiteSparse_long. You can get it with SPQR::Index
+  *
+  * \tparam _MatrixType The type of the sparse matrix A, must be a column-major SparseMatrix<>
+  *
+  * \implsparsesolverconcept
+  *
+  *
+  */
+template<typename _MatrixType>
+class SPQR : public SparseSolverBase<SPQR<_MatrixType> >
+{
+  protected:
+    typedef SparseSolverBase<SPQR<_MatrixType> > Base;
+    using Base::m_isInitialized;
+  public:
+    typedef typename _MatrixType::Scalar Scalar;
+    typedef typename _MatrixType::RealScalar RealScalar;
+    typedef SuiteSparse_long StorageIndex ;
+    typedef SparseMatrix<Scalar, ColMajor, StorageIndex> MatrixType;
+    typedef Map<PermutationMatrix<Dynamic, Dynamic, StorageIndex> > PermutationType;
+    enum {
+      ColsAtCompileTime = Dynamic,
+      MaxColsAtCompileTime = Dynamic
+    };
+  public:
+    SPQR() 
+      : m_ordering(SPQR_ORDERING_DEFAULT), m_allow_tol(SPQR_DEFAULT_TOL), m_tolerance (NumTraits<Scalar>::epsilon()), m_useDefaultThreshold(true)
+    { 
+      cholmod_l_start(&m_cc);
+    }
+    
+    explicit SPQR(const _MatrixType& matrix)
+    : m_ordering(SPQR_ORDERING_DEFAULT), m_allow_tol(SPQR_DEFAULT_TOL), m_tolerance (NumTraits<Scalar>::epsilon()), m_useDefaultThreshold(true)
+    {
+      cholmod_l_start(&m_cc);
+      compute(matrix);
+    }
+    
+    ~SPQR()
+    {
+      SPQR_free();
+      cholmod_l_finish(&m_cc);
+    }
+    void SPQR_free()
+    {
+      cholmod_l_free_sparse(&m_H, &m_cc);
+      cholmod_l_free_sparse(&m_cR, &m_cc);
+      cholmod_l_free_dense(&m_HTau, &m_cc);
+      std::free(m_E);
+      std::free(m_HPinv);
+    }
+
+    void compute(const _MatrixType& matrix)
+    {
+      if(m_isInitialized) SPQR_free();
+
+      MatrixType mat(matrix);
+      
+      /* Compute the default threshold as in MatLab, see:
+       * Tim Davis, "Algorithm 915, SuiteSparseQR: Multifrontal Multithreaded Rank-Revealing
+       * Sparse QR Factorization, ACM Trans. on Math. Soft. 38(1), 2011, Page 8:3 
+       */
+      RealScalar pivotThreshold = m_tolerance;
+      if(m_useDefaultThreshold) 
+      {
+        RealScalar max2Norm = 0.0;
+        for (int j = 0; j < mat.cols(); j++) max2Norm = numext::maxi(max2Norm, mat.col(j).norm());
+        if(max2Norm==RealScalar(0))
+          max2Norm = RealScalar(1);
+        pivotThreshold = 20 * (mat.rows() + mat.cols()) * max2Norm * NumTraits<RealScalar>::epsilon();
+      }
+      cholmod_sparse A; 
+      A = viewAsCholmod(mat);
+      m_rows = matrix.rows();
+      Index col = matrix.cols();
+      m_rank = SuiteSparseQR<Scalar>(m_ordering, pivotThreshold, col, &A, 
+                             &m_cR, &m_E, &m_H, &m_HPinv, &m_HTau, &m_cc);
+
+      if (!m_cR)
+      {
+        m_info = NumericalIssue;
+        m_isInitialized = false;
+        return;
+      }
+      m_info = Success;
+      m_isInitialized = true;
+      m_isRUpToDate = false;
+    }
+    /** 
+     * Get the number of rows of the input matrix and the Q matrix
+     */
+    inline Index rows() const {return m_rows; }
+    
+    /** 
+     * Get the number of columns of the input matrix. 
+     */
+    inline Index cols() const { return m_cR->ncol; }
+    
+    template<typename Rhs, typename Dest>
+    void _solve_impl(const MatrixBase<Rhs> &b, MatrixBase<Dest> &dest) const
+    {
+      eigen_assert(m_isInitialized && " The QR factorization should be computed first, call compute()");
+      eigen_assert(b.cols()==1 && "This method is for vectors only");
+
+      //Compute Q^T * b
+      typename Dest::PlainObject y, y2;
+      y = matrixQ().transpose() * b;
+      
+      // Solves with the triangular matrix R
+      Index rk = this->rank();
+      y2 = y;
+      y.resize((std::max)(cols(),Index(y.rows())),y.cols());
+      y.topRows(rk) = this->matrixR().topLeftCorner(rk, rk).template triangularView<Upper>().solve(y2.topRows(rk));
+
+      // Apply the column permutation 
+      // colsPermutation() performs a copy of the permutation,
+      // so let's apply it manually:
+      for(Index i = 0; i < rk; ++i) dest.row(m_E[i]) = y.row(i);
+      for(Index i = rk; i < cols(); ++i) dest.row(m_E[i]).setZero();
+      
+//       y.bottomRows(y.rows()-rk).setZero();
+//       dest = colsPermutation() * y.topRows(cols());
+      
+      m_info = Success;
+    }
+    
+    /** \returns the sparse triangular factor R. It is a sparse matrix
+     */
+    const MatrixType matrixR() const
+    {
+      eigen_assert(m_isInitialized && " The QR factorization should be computed first, call compute()");
+      if(!m_isRUpToDate) {
+        m_R = viewAsEigen<Scalar,ColMajor, typename MatrixType::StorageIndex>(*m_cR);
+        m_isRUpToDate = true;
+      }
+      return m_R;
+    }
+    /// Get an expression of the matrix Q
+    SPQRMatrixQReturnType<SPQR> matrixQ() const
+    {
+      return SPQRMatrixQReturnType<SPQR>(*this);
+    }
+    /// Get the permutation that was applied to columns of A
+    PermutationType colsPermutation() const
+    { 
+      eigen_assert(m_isInitialized && "Decomposition is not initialized.");
+      return PermutationType(m_E, m_cR->ncol);
+    }
+    /**
+     * Gets the rank of the matrix. 
+     * It should be equal to matrixQR().cols if the matrix is full-rank
+     */
+    Index rank() const
+    {
+      eigen_assert(m_isInitialized && "Decomposition is not initialized.");
+      return m_cc.SPQR_istat[4];
+    }
+    /// Set the fill-reducing ordering method to be used
+    void setSPQROrdering(int ord) { m_ordering = ord;}
+    /// Set the tolerance tol to treat columns with 2-norm < =tol as zero
+    void setPivotThreshold(const RealScalar& tol)
+    {
+      m_useDefaultThreshold = false;
+      m_tolerance = tol;
+    }
+    
+    /** \returns a pointer to the SPQR workspace */
+    cholmod_common *cholmodCommon() const { return &m_cc; }
+    
+    
+    /** \brief Reports whether previous computation was successful.
+      *
+      * \returns \c Success if computation was succesful,
+      *          \c NumericalIssue if the sparse QR can not be computed
+      */
+    ComputationInfo info() const
+    {
+      eigen_assert(m_isInitialized && "Decomposition is not initialized.");
+      return m_info;
+    }
+  protected:
+    bool m_analysisIsOk;
+    bool m_factorizationIsOk;
+    mutable bool m_isRUpToDate;
+    mutable ComputationInfo m_info;
+    int m_ordering; // Ordering method to use, see SPQR's manual
+    int m_allow_tol; // Allow to use some tolerance during numerical factorization.
+    RealScalar m_tolerance; // treat columns with 2-norm below this tolerance as zero
+    mutable cholmod_sparse *m_cR; // The sparse R factor in cholmod format
+    mutable MatrixType m_R; // The sparse matrix R in Eigen format
+    mutable StorageIndex *m_E; // The permutation applied to columns
+    mutable cholmod_sparse *m_H;  //The householder vectors
+    mutable StorageIndex *m_HPinv; // The row permutation of H
+    mutable cholmod_dense *m_HTau; // The Householder coefficients
+    mutable Index m_rank; // The rank of the matrix
+    mutable cholmod_common m_cc; // Workspace and parameters
+    bool m_useDefaultThreshold;     // Use default threshold
+    Index m_rows;
+    template<typename ,typename > friend struct SPQR_QProduct;
+};
+
+template <typename SPQRType, typename Derived>
+struct SPQR_QProduct : ReturnByValue<SPQR_QProduct<SPQRType,Derived> >
+{
+  typedef typename SPQRType::Scalar Scalar;
+  typedef typename SPQRType::StorageIndex StorageIndex;
+  //Define the constructor to get reference to argument types
+  SPQR_QProduct(const SPQRType& spqr, const Derived& other, bool transpose) : m_spqr(spqr),m_other(other),m_transpose(transpose) {}
+  
+  inline Index rows() const { return m_transpose ? m_spqr.rows() : m_spqr.cols(); }
+  inline Index cols() const { return m_other.cols(); }
+  // Assign to a vector
+  template<typename ResType>
+  void evalTo(ResType& res) const
+  {
+    cholmod_dense y_cd;
+    cholmod_dense *x_cd; 
+    int method = m_transpose ? SPQR_QTX : SPQR_QX; 
+    cholmod_common *cc = m_spqr.cholmodCommon();
+    y_cd = viewAsCholmod(m_other.const_cast_derived());
+    x_cd = SuiteSparseQR_qmult<Scalar>(method, m_spqr.m_H, m_spqr.m_HTau, m_spqr.m_HPinv, &y_cd, cc);
+    res = Matrix<Scalar,ResType::RowsAtCompileTime,ResType::ColsAtCompileTime>::Map(reinterpret_cast<Scalar*>(x_cd->x), x_cd->nrow, x_cd->ncol);
+    cholmod_l_free_dense(&x_cd, cc);
+  }
+  const SPQRType& m_spqr; 
+  const Derived& m_other; 
+  bool m_transpose; 
+  
+};
+template<typename SPQRType>
+struct SPQRMatrixQReturnType{
+  
+  SPQRMatrixQReturnType(const SPQRType& spqr) : m_spqr(spqr) {}
+  template<typename Derived>
+  SPQR_QProduct<SPQRType, Derived> operator*(const MatrixBase<Derived>& other)
+  {
+    return SPQR_QProduct<SPQRType,Derived>(m_spqr,other.derived(),false);
+  }
+  SPQRMatrixQTransposeReturnType<SPQRType> adjoint() const
+  {
+    return SPQRMatrixQTransposeReturnType<SPQRType>(m_spqr);
+  }
+  // To use for operations with the transpose of Q
+  SPQRMatrixQTransposeReturnType<SPQRType> transpose() const
+  {
+    return SPQRMatrixQTransposeReturnType<SPQRType>(m_spqr);
+  }
+  const SPQRType& m_spqr;
+};
+
+template<typename SPQRType>
+struct SPQRMatrixQTransposeReturnType{
+  SPQRMatrixQTransposeReturnType(const SPQRType& spqr) : m_spqr(spqr) {}
+  template<typename Derived>
+  SPQR_QProduct<SPQRType,Derived> operator*(const MatrixBase<Derived>& other)
+  {
+    return SPQR_QProduct<SPQRType,Derived>(m_spqr,other.derived(), true);
+  }
+  const SPQRType& m_spqr;
+};
+
+}// End namespace Eigen
+#endif
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/UmfPackSupport/UmfPackSupport.h
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/UmfPackSupport/UmfPackSupport.h	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/UmfPackSupport/UmfPackSupport.h	(revision 3761)
@@ -0,0 +1,506 @@
+// This file is part of Eigen, a lightweight C++ template library
+// for linear algebra.
+//
+// Copyright (C) 2008-2011 Gael Guennebaud <gael.guennebaud@inria.fr>
+//
+// This Source Code Form is subject to the terms of the Mozilla
+// Public License v. 2.0. If a copy of the MPL was not distributed
+// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
+
+#ifndef EIGEN_UMFPACKSUPPORT_H
+#define EIGEN_UMFPACKSUPPORT_H
+
+namespace Eigen {
+
+/* TODO extract L, extract U, compute det, etc... */
+
+// generic double/complex<double> wrapper functions:
+
+
+inline void umfpack_defaults(double control[UMFPACK_CONTROL], double)
+{ umfpack_di_defaults(control); }
+
+inline void umfpack_defaults(double control[UMFPACK_CONTROL], std::complex<double>)
+{ umfpack_zi_defaults(control); }
+
+inline void umfpack_report_info(double control[UMFPACK_CONTROL], double info[UMFPACK_INFO], double)
+{ umfpack_di_report_info(control, info);}
+
+inline void umfpack_report_info(double control[UMFPACK_CONTROL], double info[UMFPACK_INFO], std::complex<double>)
+{ umfpack_zi_report_info(control, info);}
+
+inline void umfpack_report_status(double control[UMFPACK_CONTROL], int status, double)
+{ umfpack_di_report_status(control, status);}
+
+inline void umfpack_report_status(double control[UMFPACK_CONTROL], int status, std::complex<double>)
+{ umfpack_zi_report_status(control, status);}
+
+inline void umfpack_report_control(double control[UMFPACK_CONTROL], double)
+{ umfpack_di_report_control(control);}
+
+inline void umfpack_report_control(double control[UMFPACK_CONTROL], std::complex<double>)
+{ umfpack_zi_report_control(control);}
+
+inline void umfpack_free_numeric(void **Numeric, double)
+{ umfpack_di_free_numeric(Numeric); *Numeric = 0; }
+
+inline void umfpack_free_numeric(void **Numeric, std::complex<double>)
+{ umfpack_zi_free_numeric(Numeric); *Numeric = 0; }
+
+inline void umfpack_free_symbolic(void **Symbolic, double)
+{ umfpack_di_free_symbolic(Symbolic); *Symbolic = 0; }
+
+inline void umfpack_free_symbolic(void **Symbolic, std::complex<double>)
+{ umfpack_zi_free_symbolic(Symbolic); *Symbolic = 0; }
+
+inline int umfpack_symbolic(int n_row,int n_col,
+                            const int Ap[], const int Ai[], const double Ax[], void **Symbolic,
+                            const double Control [UMFPACK_CONTROL], double Info [UMFPACK_INFO])
+{
+  return umfpack_di_symbolic(n_row,n_col,Ap,Ai,Ax,Symbolic,Control,Info);
+}
+
+inline int umfpack_symbolic(int n_row,int n_col,
+                            const int Ap[], const int Ai[], const std::complex<double> Ax[], void **Symbolic,
+                            const double Control [UMFPACK_CONTROL], double Info [UMFPACK_INFO])
+{
+  return umfpack_zi_symbolic(n_row,n_col,Ap,Ai,&numext::real_ref(Ax[0]),0,Symbolic,Control,Info);
+}
+
+inline int umfpack_numeric( const int Ap[], const int Ai[], const double Ax[],
+                            void *Symbolic, void **Numeric,
+                            const double Control[UMFPACK_CONTROL],double Info [UMFPACK_INFO])
+{
+  return umfpack_di_numeric(Ap,Ai,Ax,Symbolic,Numeric,Control,Info);
+}
+
+inline int umfpack_numeric( const int Ap[], const int Ai[], const std::complex<double> Ax[],
+                            void *Symbolic, void **Numeric,
+                            const double Control[UMFPACK_CONTROL],double Info [UMFPACK_INFO])
+{
+  return umfpack_zi_numeric(Ap,Ai,&numext::real_ref(Ax[0]),0,Symbolic,Numeric,Control,Info);
+}
+
+inline int umfpack_solve( int sys, const int Ap[], const int Ai[], const double Ax[],
+                          double X[], const double B[], void *Numeric,
+                          const double Control[UMFPACK_CONTROL], double Info[UMFPACK_INFO])
+{
+  return umfpack_di_solve(sys,Ap,Ai,Ax,X,B,Numeric,Control,Info);
+}
+
+inline int umfpack_solve( int sys, const int Ap[], const int Ai[], const std::complex<double> Ax[],
+                          std::complex<double> X[], const std::complex<double> B[], void *Numeric,
+                          const double Control[UMFPACK_CONTROL], double Info[UMFPACK_INFO])
+{
+  return umfpack_zi_solve(sys,Ap,Ai,&numext::real_ref(Ax[0]),0,&numext::real_ref(X[0]),0,&numext::real_ref(B[0]),0,Numeric,Control,Info);
+}
+
+inline int umfpack_get_lunz(int *lnz, int *unz, int *n_row, int *n_col, int *nz_udiag, void *Numeric, double)
+{
+  return umfpack_di_get_lunz(lnz,unz,n_row,n_col,nz_udiag,Numeric);
+}
+
+inline int umfpack_get_lunz(int *lnz, int *unz, int *n_row, int *n_col, int *nz_udiag, void *Numeric, std::complex<double>)
+{
+  return umfpack_zi_get_lunz(lnz,unz,n_row,n_col,nz_udiag,Numeric);
+}
+
+inline int umfpack_get_numeric(int Lp[], int Lj[], double Lx[], int Up[], int Ui[], double Ux[],
+                               int P[], int Q[], double Dx[], int *do_recip, double Rs[], void *Numeric)
+{
+  return umfpack_di_get_numeric(Lp,Lj,Lx,Up,Ui,Ux,P,Q,Dx,do_recip,Rs,Numeric);
+}
+
+inline int umfpack_get_numeric(int Lp[], int Lj[], std::complex<double> Lx[], int Up[], int Ui[], std::complex<double> Ux[],
+                               int P[], int Q[], std::complex<double> Dx[], int *do_recip, double Rs[], void *Numeric)
+{
+  double& lx0_real = numext::real_ref(Lx[0]);
+  double& ux0_real = numext::real_ref(Ux[0]);
+  double& dx0_real = numext::real_ref(Dx[0]);
+  return umfpack_zi_get_numeric(Lp,Lj,Lx?&lx0_real:0,0,Up,Ui,Ux?&ux0_real:0,0,P,Q,
+                                Dx?&dx0_real:0,0,do_recip,Rs,Numeric);
+}
+
+inline int umfpack_get_determinant(double *Mx, double *Ex, void *NumericHandle, double User_Info [UMFPACK_INFO])
+{
+  return umfpack_di_get_determinant(Mx,Ex,NumericHandle,User_Info);
+}
+
+inline int umfpack_get_determinant(std::complex<double> *Mx, double *Ex, void *NumericHandle, double User_Info [UMFPACK_INFO])
+{
+  double& mx_real = numext::real_ref(*Mx);
+  return umfpack_zi_get_determinant(&mx_real,0,Ex,NumericHandle,User_Info);
+}
+
+
+/** \ingroup UmfPackSupport_Module
+  * \brief A sparse LU factorization and solver based on UmfPack
+  *
+  * This class allows to solve for A.X = B sparse linear problems via a LU factorization
+  * using the UmfPack library. The sparse matrix A must be squared and full rank.
+  * The vectors or matrices X and B can be either dense or sparse.
+  *
+  * \warning The input matrix A should be in a \b compressed and \b column-major form.
+  * Otherwise an expensive copy will be made. You can call the inexpensive makeCompressed() to get a compressed matrix.
+  * \tparam _MatrixType the type of the sparse matrix A, it must be a SparseMatrix<>
+  *
+  * \implsparsesolverconcept
+  *
+  * \sa \ref TutorialSparseSolverConcept, class SparseLU
+  */
+template<typename _MatrixType>
+class UmfPackLU : public SparseSolverBase<UmfPackLU<_MatrixType> >
+{
+  protected:
+    typedef SparseSolverBase<UmfPackLU<_MatrixType> > Base;
+    using Base::m_isInitialized;
+  public:
+    using Base::_solve_impl;
+    typedef _MatrixType MatrixType;
+    typedef typename MatrixType::Scalar Scalar;
+    typedef typename MatrixType::RealScalar RealScalar;
+    typedef typename MatrixType::StorageIndex StorageIndex;
+    typedef Matrix<Scalar,Dynamic,1> Vector;
+    typedef Matrix<int, 1, MatrixType::ColsAtCompileTime> IntRowVectorType;
+    typedef Matrix<int, MatrixType::RowsAtCompileTime, 1> IntColVectorType;
+    typedef SparseMatrix<Scalar> LUMatrixType;
+    typedef SparseMatrix<Scalar,ColMajor,int> UmfpackMatrixType;
+    typedef Ref<const UmfpackMatrixType, StandardCompressedFormat> UmfpackMatrixRef;
+    enum {
+      ColsAtCompileTime = MatrixType::ColsAtCompileTime,
+      MaxColsAtCompileTime = MatrixType::MaxColsAtCompileTime
+    };
+
+  public:
+
+    typedef Array<double, UMFPACK_CONTROL, 1> UmfpackControl;
+    typedef Array<double, UMFPACK_INFO, 1> UmfpackInfo;
+
+    UmfPackLU()
+      : m_dummy(0,0), mp_matrix(m_dummy)
+    {
+      init();
+    }
+
+    template<typename InputMatrixType>
+    explicit UmfPackLU(const InputMatrixType& matrix)
+      : mp_matrix(matrix)
+    {
+      init();
+      compute(matrix);
+    }
+
+    ~UmfPackLU()
+    {
+      if(m_symbolic) umfpack_free_symbolic(&m_symbolic,Scalar());
+      if(m_numeric)  umfpack_free_numeric(&m_numeric,Scalar());
+    }
+
+    inline Index rows() const { return mp_matrix.rows(); }
+    inline Index cols() const { return mp_matrix.cols(); }
+
+    /** \brief Reports whether previous computation was successful.
+      *
+      * \returns \c Success if computation was succesful,
+      *          \c NumericalIssue if the matrix.appears to be negative.
+      */
+    ComputationInfo info() const
+    {
+      eigen_assert(m_isInitialized && "Decomposition is not initialized.");
+      return m_info;
+    }
+
+    inline const LUMatrixType& matrixL() const
+    {
+      if (m_extractedDataAreDirty) extractData();
+      return m_l;
+    }
+
+    inline const LUMatrixType& matrixU() const
+    {
+      if (m_extractedDataAreDirty) extractData();
+      return m_u;
+    }
+
+    inline const IntColVectorType& permutationP() const
+    {
+      if (m_extractedDataAreDirty) extractData();
+      return m_p;
+    }
+
+    inline const IntRowVectorType& permutationQ() const
+    {
+      if (m_extractedDataAreDirty) extractData();
+      return m_q;
+    }
+
+    /** Computes the sparse Cholesky decomposition of \a matrix
+     *  Note that the matrix should be column-major, and in compressed format for best performance.
+     *  \sa SparseMatrix::makeCompressed().
+     */
+    template<typename InputMatrixType>
+    void compute(const InputMatrixType& matrix)
+    {
+      if(m_symbolic) umfpack_free_symbolic(&m_symbolic,Scalar());
+      if(m_numeric)  umfpack_free_numeric(&m_numeric,Scalar());
+      grab(matrix.derived());
+      analyzePattern_impl();
+      factorize_impl();
+    }
+
+    /** Performs a symbolic decomposition on the sparcity of \a matrix.
+      *
+      * This function is particularly useful when solving for several problems having the same structure.
+      *
+      * \sa factorize(), compute()
+      */
+    template<typename InputMatrixType>
+    void analyzePattern(const InputMatrixType& matrix)
+    {
+      if(m_symbolic) umfpack_free_symbolic(&m_symbolic,Scalar());
+      if(m_numeric)  umfpack_free_numeric(&m_numeric,Scalar());
+
+      grab(matrix.derived());
+
+      analyzePattern_impl();
+    }
+
+    /** Provides the return status code returned by UmfPack during the numeric
+      * factorization.
+      *
+      * \sa factorize(), compute()
+      */
+    inline int umfpackFactorizeReturncode() const
+    {
+      eigen_assert(m_numeric && "UmfPackLU: you must first call factorize()");
+      return m_fact_errorCode;
+    }
+
+    /** Provides access to the control settings array used by UmfPack.
+      *
+      * If this array contains NaN's, the default values are used.
+      *
+      * See UMFPACK documentation for details.
+      */
+    inline const UmfpackControl& umfpackControl() const
+    {
+      return m_control;
+    }
+
+    /** Provides access to the control settings array used by UmfPack.
+      *
+      * If this array contains NaN's, the default values are used.
+      *
+      * See UMFPACK documentation for details.
+      */
+    inline UmfpackControl& umfpackControl()
+    {
+      return m_control;
+    }
+
+    /** Performs a numeric decomposition of \a matrix
+      *
+      * The given matrix must has the same sparcity than the matrix on which the pattern anylysis has been performed.
+      *
+      * \sa analyzePattern(), compute()
+      */
+    template<typename InputMatrixType>
+    void factorize(const InputMatrixType& matrix)
+    {
+      eigen_assert(m_analysisIsOk && "UmfPackLU: you must first call analyzePattern()");
+      if(m_numeric)
+        umfpack_free_numeric(&m_numeric,Scalar());
+
+      grab(matrix.derived());
+
+      factorize_impl();
+    }
+
+    /** Prints the current UmfPack control settings.
+      *
+      * \sa umfpackControl()
+      */
+    void umfpackReportControl()
+    {
+      umfpack_report_control(m_control.data(), Scalar());
+    }
+
+    /** Prints statistics collected by UmfPack.
+      *
+      * \sa analyzePattern(), compute()
+      */
+    void umfpackReportInfo()
+    {
+      eigen_assert(m_analysisIsOk && "UmfPackLU: you must first call analyzePattern()");
+      umfpack_report_info(m_control.data(), m_umfpackInfo.data(), Scalar());
+    }
+
+    /** Prints the status of the previous factorization operation performed by UmfPack (symbolic or numerical factorization).
+      *
+      * \sa analyzePattern(), compute()
+      */
+    void umfpackReportStatus() {
+      eigen_assert(m_analysisIsOk && "UmfPackLU: you must first call analyzePattern()");
+      umfpack_report_status(m_control.data(), m_fact_errorCode, Scalar());
+    }
+
+    /** \internal */
+    template<typename BDerived,typename XDerived>
+    bool _solve_impl(const MatrixBase<BDerived> &b, MatrixBase<XDerived> &x) const;
+
+    Scalar determinant() const;
+
+    void extractData() const;
+
+  protected:
+
+    void init()
+    {
+      m_info                  = InvalidInput;
+      m_isInitialized         = false;
+      m_numeric               = 0;
+      m_symbolic              = 0;
+      m_extractedDataAreDirty = true;
+
+      umfpack_defaults(m_control.data(), Scalar());
+    }
+
+    void analyzePattern_impl()
+    {
+      m_fact_errorCode = umfpack_symbolic(internal::convert_index<int>(mp_matrix.rows()),
+                                          internal::convert_index<int>(mp_matrix.cols()),
+                                          mp_matrix.outerIndexPtr(), mp_matrix.innerIndexPtr(), mp_matrix.valuePtr(),
+                                          &m_symbolic, m_control.data(), m_umfpackInfo.data());
+
+      m_isInitialized = true;
+      m_info = m_fact_errorCode ? InvalidInput : Success;
+      m_analysisIsOk = true;
+      m_factorizationIsOk = false;
+      m_extractedDataAreDirty = true;
+    }
+
+    void factorize_impl()
+    {
+
+      m_fact_errorCode = umfpack_numeric(mp_matrix.outerIndexPtr(), mp_matrix.innerIndexPtr(), mp_matrix.valuePtr(),
+                                         m_symbolic, &m_numeric, m_control.data(), m_umfpackInfo.data());
+
+      m_info = m_fact_errorCode == UMFPACK_OK ? Success : NumericalIssue;
+      m_factorizationIsOk = true;
+      m_extractedDataAreDirty = true;
+    }
+
+    template<typename MatrixDerived>
+    void grab(const EigenBase<MatrixDerived> &A)
+    {
+      mp_matrix.~UmfpackMatrixRef();
+      ::new (&mp_matrix) UmfpackMatrixRef(A.derived());
+    }
+
+    void grab(const UmfpackMatrixRef &A)
+    {
+      if(&(A.derived()) != &mp_matrix)
+      {
+        mp_matrix.~UmfpackMatrixRef();
+        ::new (&mp_matrix) UmfpackMatrixRef(A);
+      }
+    }
+
+    // cached data to reduce reallocation, etc.
+    mutable LUMatrixType m_l;
+    int m_fact_errorCode;
+    UmfpackControl m_control;
+    mutable UmfpackInfo m_umfpackInfo;
+
+    mutable LUMatrixType m_u;
+    mutable IntColVectorType m_p;
+    mutable IntRowVectorType m_q;
+
+    UmfpackMatrixType m_dummy;
+    UmfpackMatrixRef mp_matrix;
+
+    void* m_numeric;
+    void* m_symbolic;
+
+    mutable ComputationInfo m_info;
+    int m_factorizationIsOk;
+    int m_analysisIsOk;
+    mutable bool m_extractedDataAreDirty;
+
+  private:
+    UmfPackLU(const UmfPackLU& ) { }
+};
+
+
+template<typename MatrixType>
+void UmfPackLU<MatrixType>::extractData() const
+{
+  if (m_extractedDataAreDirty)
+  {
+    // get size of the data
+    int lnz, unz, rows, cols, nz_udiag;
+    umfpack_get_lunz(&lnz, &unz, &rows, &cols, &nz_udiag, m_numeric, Scalar());
+
+    // allocate data
+    m_l.resize(rows,(std::min)(rows,cols));
+    m_l.resizeNonZeros(lnz);
+
+    m_u.resize((std::min)(rows,cols),cols);
+    m_u.resizeNonZeros(unz);
+
+    m_p.resize(rows);
+    m_q.resize(cols);
+
+    // extract
+    umfpack_get_numeric(m_l.outerIndexPtr(), m_l.innerIndexPtr(), m_l.valuePtr(),
+                        m_u.outerIndexPtr(), m_u.innerIndexPtr(), m_u.valuePtr(),
+                        m_p.data(), m_q.data(), 0, 0, 0, m_numeric);
+
+    m_extractedDataAreDirty = false;
+  }
+}
+
+template<typename MatrixType>
+typename UmfPackLU<MatrixType>::Scalar UmfPackLU<MatrixType>::determinant() const
+{
+  Scalar det;
+  umfpack_get_determinant(&det, 0, m_numeric, 0);
+  return det;
+}
+
+template<typename MatrixType>
+template<typename BDerived,typename XDerived>
+bool UmfPackLU<MatrixType>::_solve_impl(const MatrixBase<BDerived> &b, MatrixBase<XDerived> &x) const
+{
+  Index rhsCols = b.cols();
+  eigen_assert((BDerived::Flags&RowMajorBit)==0 && "UmfPackLU backend does not support non col-major rhs yet");
+  eigen_assert((XDerived::Flags&RowMajorBit)==0 && "UmfPackLU backend does not support non col-major result yet");
+  eigen_assert(b.derived().data() != x.derived().data() && " Umfpack does not support inplace solve");
+
+  int errorCode;
+  Scalar* x_ptr = 0;
+  Matrix<Scalar,Dynamic,1> x_tmp;
+  if(x.innerStride()!=1)
+  {
+    x_tmp.resize(x.rows());
+    x_ptr = x_tmp.data();
+  }
+  for (int j=0; j<rhsCols; ++j)
+  {
+    if(x.innerStride()==1)
+      x_ptr = &x.col(j).coeffRef(0);
+    errorCode = umfpack_solve(UMFPACK_A,
+        mp_matrix.outerIndexPtr(), mp_matrix.innerIndexPtr(), mp_matrix.valuePtr(),
+        x_ptr, &b.const_cast_derived().col(j).coeffRef(0), m_numeric, m_control.data(), m_umfpackInfo.data());
+    if(x.innerStride()!=1)
+      x.col(j) = x_tmp;
+    if (errorCode!=0)
+      return false;
+  }
+
+  return true;
+}
+
+} // end namespace Eigen
+
+#endif // EIGEN_UMFPACKSUPPORT_H
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Jacobi/Jacobi.h
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Jacobi/Jacobi.h	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Jacobi/Jacobi.h	(revision 3761)
@@ -0,0 +1,462 @@
+// This file is part of Eigen, a lightweight C++ template library
+// for linear algebra.
+//
+// Copyright (C) 2009 Benoit Jacob <jacob.benoit.1@gmail.com>
+// Copyright (C) 2009 Gael Guennebaud <gael.guennebaud@inria.fr>
+//
+// This Source Code Form is subject to the terms of the Mozilla
+// Public License v. 2.0. If a copy of the MPL was not distributed
+// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
+
+#ifndef EIGEN_JACOBI_H
+#define EIGEN_JACOBI_H
+
+namespace Eigen { 
+
+/** \ingroup Jacobi_Module
+  * \jacobi_module
+  * \class JacobiRotation
+  * \brief Rotation given by a cosine-sine pair.
+  *
+  * This class represents a Jacobi or Givens rotation.
+  * This is a 2D rotation in the plane \c J of angle \f$ \theta \f$ defined by
+  * its cosine \c c and sine \c s as follow:
+  * \f$ J = \left ( \begin{array}{cc} c & \overline s \\ -s  & \overline c \end{array} \right ) \f$
+  *
+  * You can apply the respective counter-clockwise rotation to a column vector \c v by
+  * applying its adjoint on the left: \f$ v = J^* v \f$ that translates to the following Eigen code:
+  * \code
+  * v.applyOnTheLeft(J.adjoint());
+  * \endcode
+  *
+  * \sa MatrixBase::applyOnTheLeft(), MatrixBase::applyOnTheRight()
+  */
+template<typename Scalar> class JacobiRotation
+{
+  public:
+    typedef typename NumTraits<Scalar>::Real RealScalar;
+
+    /** Default constructor without any initialization. */
+    JacobiRotation() {}
+
+    /** Construct a planar rotation from a cosine-sine pair (\a c, \c s). */
+    JacobiRotation(const Scalar& c, const Scalar& s) : m_c(c), m_s(s) {}
+
+    Scalar& c() { return m_c; }
+    Scalar c() const { return m_c; }
+    Scalar& s() { return m_s; }
+    Scalar s() const { return m_s; }
+
+    /** Concatenates two planar rotation */
+    JacobiRotation operator*(const JacobiRotation& other)
+    {
+      using numext::conj;
+      return JacobiRotation(m_c * other.m_c - conj(m_s) * other.m_s,
+                            conj(m_c * conj(other.m_s) + conj(m_s) * conj(other.m_c)));
+    }
+
+    /** Returns the transposed transformation */
+    JacobiRotation transpose() const { using numext::conj; return JacobiRotation(m_c, -conj(m_s)); }
+
+    /** Returns the adjoint transformation */
+    JacobiRotation adjoint() const { using numext::conj; return JacobiRotation(conj(m_c), -m_s); }
+
+    template<typename Derived>
+    bool makeJacobi(const MatrixBase<Derived>&, Index p, Index q);
+    bool makeJacobi(const RealScalar& x, const Scalar& y, const RealScalar& z);
+
+    void makeGivens(const Scalar& p, const Scalar& q, Scalar* r=0);
+
+  protected:
+    void makeGivens(const Scalar& p, const Scalar& q, Scalar* r, internal::true_type);
+    void makeGivens(const Scalar& p, const Scalar& q, Scalar* r, internal::false_type);
+
+    Scalar m_c, m_s;
+};
+
+/** Makes \c *this as a Jacobi rotation \a J such that applying \a J on both the right and left sides of the selfadjoint 2x2 matrix
+  * \f$ B = \left ( \begin{array}{cc} x & y \\ \overline y & z \end{array} \right )\f$ yields a diagonal matrix \f$ A = J^* B J \f$
+  *
+  * \sa MatrixBase::makeJacobi(const MatrixBase<Derived>&, Index, Index), MatrixBase::applyOnTheLeft(), MatrixBase::applyOnTheRight()
+  */
+template<typename Scalar>
+bool JacobiRotation<Scalar>::makeJacobi(const RealScalar& x, const Scalar& y, const RealScalar& z)
+{
+  using std::sqrt;
+  using std::abs;
+  RealScalar deno = RealScalar(2)*abs(y);
+  if(deno < (std::numeric_limits<RealScalar>::min)())
+  {
+    m_c = Scalar(1);
+    m_s = Scalar(0);
+    return false;
+  }
+  else
+  {
+    RealScalar tau = (x-z)/deno;
+    RealScalar w = sqrt(numext::abs2(tau) + RealScalar(1));
+    RealScalar t;
+    if(tau>RealScalar(0))
+    {
+      t = RealScalar(1) / (tau + w);
+    }
+    else
+    {
+      t = RealScalar(1) / (tau - w);
+    }
+    RealScalar sign_t = t > RealScalar(0) ? RealScalar(1) : RealScalar(-1);
+    RealScalar n = RealScalar(1) / sqrt(numext::abs2(t)+RealScalar(1));
+    m_s = - sign_t * (numext::conj(y) / abs(y)) * abs(t) * n;
+    m_c = n;
+    return true;
+  }
+}
+
+/** Makes \c *this as a Jacobi rotation \c J such that applying \a J on both the right and left sides of the 2x2 selfadjoint matrix
+  * \f$ B = \left ( \begin{array}{cc} \text{this}_{pp} & \text{this}_{pq} \\ (\text{this}_{pq})^* & \text{this}_{qq} \end{array} \right )\f$ yields
+  * a diagonal matrix \f$ A = J^* B J \f$
+  *
+  * Example: \include Jacobi_makeJacobi.cpp
+  * Output: \verbinclude Jacobi_makeJacobi.out
+  *
+  * \sa JacobiRotation::makeJacobi(RealScalar, Scalar, RealScalar), MatrixBase::applyOnTheLeft(), MatrixBase::applyOnTheRight()
+  */
+template<typename Scalar>
+template<typename Derived>
+inline bool JacobiRotation<Scalar>::makeJacobi(const MatrixBase<Derived>& m, Index p, Index q)
+{
+  return makeJacobi(numext::real(m.coeff(p,p)), m.coeff(p,q), numext::real(m.coeff(q,q)));
+}
+
+/** Makes \c *this as a Givens rotation \c G such that applying \f$ G^* \f$ to the left of the vector
+  * \f$ V = \left ( \begin{array}{c} p \\ q \end{array} \right )\f$ yields:
+  * \f$ G^* V = \left ( \begin{array}{c} r \\ 0 \end{array} \right )\f$.
+  *
+  * The value of \a r is returned if \a r is not null (the default is null).
+  * Also note that G is built such that the cosine is always real.
+  *
+  * Example: \include Jacobi_makeGivens.cpp
+  * Output: \verbinclude Jacobi_makeGivens.out
+  *
+  * This function implements the continuous Givens rotation generation algorithm
+  * found in Anderson (2000), Discontinuous Plane Rotations and the Symmetric Eigenvalue Problem.
+  * LAPACK Working Note 150, University of Tennessee, UT-CS-00-454, December 4, 2000.
+  *
+  * \sa MatrixBase::applyOnTheLeft(), MatrixBase::applyOnTheRight()
+  */
+template<typename Scalar>
+void JacobiRotation<Scalar>::makeGivens(const Scalar& p, const Scalar& q, Scalar* r)
+{
+  makeGivens(p, q, r, typename internal::conditional<NumTraits<Scalar>::IsComplex, internal::true_type, internal::false_type>::type());
+}
+
+
+// specialization for complexes
+template<typename Scalar>
+void JacobiRotation<Scalar>::makeGivens(const Scalar& p, const Scalar& q, Scalar* r, internal::true_type)
+{
+  using std::sqrt;
+  using std::abs;
+  using numext::conj;
+  
+  if(q==Scalar(0))
+  {
+    m_c = numext::real(p)<0 ? Scalar(-1) : Scalar(1);
+    m_s = 0;
+    if(r) *r = m_c * p;
+  }
+  else if(p==Scalar(0))
+  {
+    m_c = 0;
+    m_s = -q/abs(q);
+    if(r) *r = abs(q);
+  }
+  else
+  {
+    RealScalar p1 = numext::norm1(p);
+    RealScalar q1 = numext::norm1(q);
+    if(p1>=q1)
+    {
+      Scalar ps = p / p1;
+      RealScalar p2 = numext::abs2(ps);
+      Scalar qs = q / p1;
+      RealScalar q2 = numext::abs2(qs);
+
+      RealScalar u = sqrt(RealScalar(1) + q2/p2);
+      if(numext::real(p)<RealScalar(0))
+        u = -u;
+
+      m_c = Scalar(1)/u;
+      m_s = -qs*conj(ps)*(m_c/p2);
+      if(r) *r = p * u;
+    }
+    else
+    {
+      Scalar ps = p / q1;
+      RealScalar p2 = numext::abs2(ps);
+      Scalar qs = q / q1;
+      RealScalar q2 = numext::abs2(qs);
+
+      RealScalar u = q1 * sqrt(p2 + q2);
+      if(numext::real(p)<RealScalar(0))
+        u = -u;
+
+      p1 = abs(p);
+      ps = p/p1;
+      m_c = p1/u;
+      m_s = -conj(ps) * (q/u);
+      if(r) *r = ps * u;
+    }
+  }
+}
+
+// specialization for reals
+template<typename Scalar>
+void JacobiRotation<Scalar>::makeGivens(const Scalar& p, const Scalar& q, Scalar* r, internal::false_type)
+{
+  using std::sqrt;
+  using std::abs;
+  if(q==Scalar(0))
+  {
+    m_c = p<Scalar(0) ? Scalar(-1) : Scalar(1);
+    m_s = Scalar(0);
+    if(r) *r = abs(p);
+  }
+  else if(p==Scalar(0))
+  {
+    m_c = Scalar(0);
+    m_s = q<Scalar(0) ? Scalar(1) : Scalar(-1);
+    if(r) *r = abs(q);
+  }
+  else if(abs(p) > abs(q))
+  {
+    Scalar t = q/p;
+    Scalar u = sqrt(Scalar(1) + numext::abs2(t));
+    if(p<Scalar(0))
+      u = -u;
+    m_c = Scalar(1)/u;
+    m_s = -t * m_c;
+    if(r) *r = p * u;
+  }
+  else
+  {
+    Scalar t = p/q;
+    Scalar u = sqrt(Scalar(1) + numext::abs2(t));
+    if(q<Scalar(0))
+      u = -u;
+    m_s = -Scalar(1)/u;
+    m_c = -t * m_s;
+    if(r) *r = q * u;
+  }
+
+}
+
+/****************************************************************************************
+*   Implementation of MatrixBase methods
+****************************************************************************************/
+
+namespace internal {
+/** \jacobi_module
+  * Applies the clock wise 2D rotation \a j to the set of 2D vectors of cordinates \a x and \a y:
+  * \f$ \left ( \begin{array}{cc} x \\ y \end{array} \right )  =  J \left ( \begin{array}{cc} x \\ y \end{array} \right ) \f$
+  *
+  * \sa MatrixBase::applyOnTheLeft(), MatrixBase::applyOnTheRight()
+  */
+template<typename VectorX, typename VectorY, typename OtherScalar>
+void apply_rotation_in_the_plane(DenseBase<VectorX>& xpr_x, DenseBase<VectorY>& xpr_y, const JacobiRotation<OtherScalar>& j);
+}
+
+/** \jacobi_module
+  * Applies the rotation in the plane \a j to the rows \a p and \a q of \c *this, i.e., it computes B = J * B,
+  * with \f$ B = \left ( \begin{array}{cc} \text{*this.row}(p) \\ \text{*this.row}(q) \end{array} \right ) \f$.
+  *
+  * \sa class JacobiRotation, MatrixBase::applyOnTheRight(), internal::apply_rotation_in_the_plane()
+  */
+template<typename Derived>
+template<typename OtherScalar>
+inline void MatrixBase<Derived>::applyOnTheLeft(Index p, Index q, const JacobiRotation<OtherScalar>& j)
+{
+  RowXpr x(this->row(p));
+  RowXpr y(this->row(q));
+  internal::apply_rotation_in_the_plane(x, y, j);
+}
+
+/** \ingroup Jacobi_Module
+  * Applies the rotation in the plane \a j to the columns \a p and \a q of \c *this, i.e., it computes B = B * J
+  * with \f$ B = \left ( \begin{array}{cc} \text{*this.col}(p) & \text{*this.col}(q) \end{array} \right ) \f$.
+  *
+  * \sa class JacobiRotation, MatrixBase::applyOnTheLeft(), internal::apply_rotation_in_the_plane()
+  */
+template<typename Derived>
+template<typename OtherScalar>
+inline void MatrixBase<Derived>::applyOnTheRight(Index p, Index q, const JacobiRotation<OtherScalar>& j)
+{
+  ColXpr x(this->col(p));
+  ColXpr y(this->col(q));
+  internal::apply_rotation_in_the_plane(x, y, j.transpose());
+}
+
+namespace internal {
+
+template<typename Scalar, typename OtherScalar,
+         int SizeAtCompileTime, int MinAlignment, bool Vectorizable>
+struct apply_rotation_in_the_plane_selector
+{
+  static inline void run(Scalar *x, Index incrx, Scalar *y, Index incry, Index size, OtherScalar c, OtherScalar s)
+  {
+    for(Index i=0; i<size; ++i)
+    {
+      Scalar xi = *x;
+      Scalar yi = *y;
+      *x =  c * xi + numext::conj(s) * yi;
+      *y = -s * xi + numext::conj(c) * yi;
+      x += incrx;
+      y += incry;
+    }
+  }
+};
+
+template<typename Scalar, typename OtherScalar,
+         int SizeAtCompileTime, int MinAlignment>
+struct apply_rotation_in_the_plane_selector<Scalar,OtherScalar,SizeAtCompileTime,MinAlignment,true /* vectorizable */>
+{
+  static inline void run(Scalar *x, Index incrx, Scalar *y, Index incry, Index size, OtherScalar c, OtherScalar s)
+  {
+    enum {
+      PacketSize = packet_traits<Scalar>::size,
+      OtherPacketSize = packet_traits<OtherScalar>::size
+    };
+    typedef typename packet_traits<Scalar>::type Packet;
+    typedef typename packet_traits<OtherScalar>::type OtherPacket;
+
+    /*** dynamic-size vectorized paths ***/
+    if(SizeAtCompileTime == Dynamic && ((incrx==1 && incry==1) || PacketSize == 1))
+    {
+      // both vectors are sequentially stored in memory => vectorization
+      enum { Peeling = 2 };
+
+      Index alignedStart = internal::first_default_aligned(y, size);
+      Index alignedEnd = alignedStart + ((size-alignedStart)/PacketSize)*PacketSize;
+
+      const OtherPacket pc = pset1<OtherPacket>(c);
+      const OtherPacket ps = pset1<OtherPacket>(s);
+      conj_helper<OtherPacket,Packet,NumTraits<OtherScalar>::IsComplex,false> pcj;
+      conj_helper<OtherPacket,Packet,false,false> pm;
+
+      for(Index i=0; i<alignedStart; ++i)
+      {
+        Scalar xi = x[i];
+        Scalar yi = y[i];
+        x[i] =  c * xi + numext::conj(s) * yi;
+        y[i] = -s * xi + numext::conj(c) * yi;
+      }
+
+      Scalar* EIGEN_RESTRICT px = x + alignedStart;
+      Scalar* EIGEN_RESTRICT py = y + alignedStart;
+
+      if(internal::first_default_aligned(x, size)==alignedStart)
+      {
+        for(Index i=alignedStart; i<alignedEnd; i+=PacketSize)
+        {
+          Packet xi = pload<Packet>(px);
+          Packet yi = pload<Packet>(py);
+          pstore(px, padd(pm.pmul(pc,xi),pcj.pmul(ps,yi)));
+          pstore(py, psub(pcj.pmul(pc,yi),pm.pmul(ps,xi)));
+          px += PacketSize;
+          py += PacketSize;
+        }
+      }
+      else
+      {
+        Index peelingEnd = alignedStart + ((size-alignedStart)/(Peeling*PacketSize))*(Peeling*PacketSize);
+        for(Index i=alignedStart; i<peelingEnd; i+=Peeling*PacketSize)
+        {
+          Packet xi   = ploadu<Packet>(px);
+          Packet xi1  = ploadu<Packet>(px+PacketSize);
+          Packet yi   = pload <Packet>(py);
+          Packet yi1  = pload <Packet>(py+PacketSize);
+          pstoreu(px, padd(pm.pmul(pc,xi),pcj.pmul(ps,yi)));
+          pstoreu(px+PacketSize, padd(pm.pmul(pc,xi1),pcj.pmul(ps,yi1)));
+          pstore (py, psub(pcj.pmul(pc,yi),pm.pmul(ps,xi)));
+          pstore (py+PacketSize, psub(pcj.pmul(pc,yi1),pm.pmul(ps,xi1)));
+          px += Peeling*PacketSize;
+          py += Peeling*PacketSize;
+        }
+        if(alignedEnd!=peelingEnd)
+        {
+          Packet xi = ploadu<Packet>(x+peelingEnd);
+          Packet yi = pload <Packet>(y+peelingEnd);
+          pstoreu(x+peelingEnd, padd(pm.pmul(pc,xi),pcj.pmul(ps,yi)));
+          pstore (y+peelingEnd, psub(pcj.pmul(pc,yi),pm.pmul(ps,xi)));
+        }
+      }
+
+      for(Index i=alignedEnd; i<size; ++i)
+      {
+        Scalar xi = x[i];
+        Scalar yi = y[i];
+        x[i] =  c * xi + numext::conj(s) * yi;
+        y[i] = -s * xi + numext::conj(c) * yi;
+      }
+    }
+
+    /*** fixed-size vectorized path ***/
+    else if(SizeAtCompileTime != Dynamic && MinAlignment>0) // FIXME should be compared to the required alignment
+    {
+      const OtherPacket pc = pset1<OtherPacket>(c);
+      const OtherPacket ps = pset1<OtherPacket>(s);
+      conj_helper<OtherPacket,Packet,NumTraits<OtherPacket>::IsComplex,false> pcj;
+      conj_helper<OtherPacket,Packet,false,false> pm;
+      Scalar* EIGEN_RESTRICT px = x;
+      Scalar* EIGEN_RESTRICT py = y;
+      for(Index i=0; i<size; i+=PacketSize)
+      {
+        Packet xi = pload<Packet>(px);
+        Packet yi = pload<Packet>(py);
+        pstore(px, padd(pm.pmul(pc,xi),pcj.pmul(ps,yi)));
+        pstore(py, psub(pcj.pmul(pc,yi),pm.pmul(ps,xi)));
+        px += PacketSize;
+        py += PacketSize;
+      }
+    }
+
+    /*** non-vectorized path ***/
+    else
+    {
+      apply_rotation_in_the_plane_selector<Scalar,OtherScalar,SizeAtCompileTime,MinAlignment,false>::run(x,incrx,y,incry,size,c,s);
+    }
+  }
+};
+
+template<typename VectorX, typename VectorY, typename OtherScalar>
+void /*EIGEN_DONT_INLINE*/ apply_rotation_in_the_plane(DenseBase<VectorX>& xpr_x, DenseBase<VectorY>& xpr_y, const JacobiRotation<OtherScalar>& j)
+{
+  typedef typename VectorX::Scalar Scalar;
+  const bool Vectorizable =    (VectorX::Flags & VectorY::Flags & PacketAccessBit)
+                            && (int(packet_traits<Scalar>::size) == int(packet_traits<OtherScalar>::size));
+
+  eigen_assert(xpr_x.size() == xpr_y.size());
+  Index size = xpr_x.size();
+  Index incrx = xpr_x.derived().innerStride();
+  Index incry = xpr_y.derived().innerStride();
+
+  Scalar* EIGEN_RESTRICT x = &xpr_x.derived().coeffRef(0);
+  Scalar* EIGEN_RESTRICT y = &xpr_y.derived().coeffRef(0);
+  
+  OtherScalar c = j.c();
+  OtherScalar s = j.s();
+  if (c==OtherScalar(1) && s==OtherScalar(0))
+    return;
+
+  apply_rotation_in_the_plane_selector<
+    Scalar,OtherScalar,
+    VectorX::SizeAtCompileTime,
+    EIGEN_PLAIN_ENUM_MIN(evaluator<VectorX>::Alignment, evaluator<VectorY>::Alignment),
+    Vectorizable>::run(x,incrx,y,incry,size,c,s);
+}
+
+} // end namespace internal
+
+} // end namespace Eigen
+
+#endif // EIGEN_JACOBI_H
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/Block.h
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/Block.h	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/Block.h	(revision 3761)
@@ -0,0 +1,452 @@
+// This file is part of Eigen, a lightweight C++ template library
+// for linear algebra.
+//
+// Copyright (C) 2008 Gael Guennebaud <gael.guennebaud@inria.fr>
+// Copyright (C) 2006-2010 Benoit Jacob <jacob.benoit.1@gmail.com>
+//
+// This Source Code Form is subject to the terms of the Mozilla
+// Public License v. 2.0. If a copy of the MPL was not distributed
+// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
+
+#ifndef EIGEN_BLOCK_H
+#define EIGEN_BLOCK_H
+
+namespace Eigen { 
+
+namespace internal {
+template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel>
+struct traits<Block<XprType, BlockRows, BlockCols, InnerPanel> > : traits<XprType>
+{
+  typedef typename traits<XprType>::Scalar Scalar;
+  typedef typename traits<XprType>::StorageKind StorageKind;
+  typedef typename traits<XprType>::XprKind XprKind;
+  typedef typename ref_selector<XprType>::type XprTypeNested;
+  typedef typename remove_reference<XprTypeNested>::type _XprTypeNested;
+  enum{
+    MatrixRows = traits<XprType>::RowsAtCompileTime,
+    MatrixCols = traits<XprType>::ColsAtCompileTime,
+    RowsAtCompileTime = MatrixRows == 0 ? 0 : BlockRows,
+    ColsAtCompileTime = MatrixCols == 0 ? 0 : BlockCols,
+    MaxRowsAtCompileTime = BlockRows==0 ? 0
+                         : RowsAtCompileTime != Dynamic ? int(RowsAtCompileTime)
+                         : int(traits<XprType>::MaxRowsAtCompileTime),
+    MaxColsAtCompileTime = BlockCols==0 ? 0
+                         : ColsAtCompileTime != Dynamic ? int(ColsAtCompileTime)
+                         : int(traits<XprType>::MaxColsAtCompileTime),
+
+    XprTypeIsRowMajor = (int(traits<XprType>::Flags)&RowMajorBit) != 0,
+    IsRowMajor = (MaxRowsAtCompileTime==1&&MaxColsAtCompileTime!=1) ? 1
+               : (MaxColsAtCompileTime==1&&MaxRowsAtCompileTime!=1) ? 0
+               : XprTypeIsRowMajor,
+    HasSameStorageOrderAsXprType = (IsRowMajor == XprTypeIsRowMajor),
+    InnerSize = IsRowMajor ? int(ColsAtCompileTime) : int(RowsAtCompileTime),
+    InnerStrideAtCompileTime = HasSameStorageOrderAsXprType
+                             ? int(inner_stride_at_compile_time<XprType>::ret)
+                             : int(outer_stride_at_compile_time<XprType>::ret),
+    OuterStrideAtCompileTime = HasSameStorageOrderAsXprType
+                             ? int(outer_stride_at_compile_time<XprType>::ret)
+                             : int(inner_stride_at_compile_time<XprType>::ret),
+
+    // FIXME, this traits is rather specialized for dense object and it needs to be cleaned further
+    FlagsLvalueBit = is_lvalue<XprType>::value ? LvalueBit : 0,
+    FlagsRowMajorBit = IsRowMajor ? RowMajorBit : 0,
+    Flags = (traits<XprType>::Flags & (DirectAccessBit | (InnerPanel?CompressedAccessBit:0))) | FlagsLvalueBit | FlagsRowMajorBit,
+    // FIXME DirectAccessBit should not be handled by expressions
+    // 
+    // Alignment is needed by MapBase's assertions
+    // We can sefely set it to false here. Internal alignment errors will be detected by an eigen_internal_assert in the respective evaluator
+    Alignment = 0
+  };
+};
+
+template<typename XprType, int BlockRows=Dynamic, int BlockCols=Dynamic, bool InnerPanel = false,
+         bool HasDirectAccess = internal::has_direct_access<XprType>::ret> class BlockImpl_dense;
+         
+} // end namespace internal
+
+template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, typename StorageKind> class BlockImpl;
+
+/** \class Block
+  * \ingroup Core_Module
+  *
+  * \brief Expression of a fixed-size or dynamic-size block
+  *
+  * \tparam XprType the type of the expression in which we are taking a block
+  * \tparam BlockRows the number of rows of the block we are taking at compile time (optional)
+  * \tparam BlockCols the number of columns of the block we are taking at compile time (optional)
+  * \tparam InnerPanel is true, if the block maps to a set of rows of a row major matrix or
+  *         to set of columns of a column major matrix (optional). The parameter allows to determine
+  *         at compile time whether aligned access is possible on the block expression.
+  *
+  * This class represents an expression of either a fixed-size or dynamic-size block. It is the return
+  * type of DenseBase::block(Index,Index,Index,Index) and DenseBase::block<int,int>(Index,Index) and
+  * most of the time this is the only way it is used.
+  *
+  * However, if you want to directly maniputate block expressions,
+  * for instance if you want to write a function returning such an expression, you
+  * will need to use this class.
+  *
+  * Here is an example illustrating the dynamic case:
+  * \include class_Block.cpp
+  * Output: \verbinclude class_Block.out
+  *
+  * \note Even though this expression has dynamic size, in the case where \a XprType
+  * has fixed size, this expression inherits a fixed maximal size which means that evaluating
+  * it does not cause a dynamic memory allocation.
+  *
+  * Here is an example illustrating the fixed-size case:
+  * \include class_FixedBlock.cpp
+  * Output: \verbinclude class_FixedBlock.out
+  *
+  * \sa DenseBase::block(Index,Index,Index,Index), DenseBase::block(Index,Index), class VectorBlock
+  */
+template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
+  : public BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, typename internal::traits<XprType>::StorageKind>
+{
+    typedef BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, typename internal::traits<XprType>::StorageKind> Impl;
+  public:
+    //typedef typename Impl::Base Base;
+    typedef Impl Base;
+    EIGEN_GENERIC_PUBLIC_INTERFACE(Block)
+    EIGEN_INHERIT_ASSIGNMENT_OPERATORS(Block)
+    
+    typedef typename internal::remove_all<XprType>::type NestedExpression;
+  
+    /** Column or Row constructor
+      */
+    EIGEN_DEVICE_FUNC
+    inline Block(XprType& xpr, Index i) : Impl(xpr,i)
+    {
+      eigen_assert( (i>=0) && (
+          ((BlockRows==1) && (BlockCols==XprType::ColsAtCompileTime) && i<xpr.rows())
+        ||((BlockRows==XprType::RowsAtCompileTime) && (BlockCols==1) && i<xpr.cols())));
+    }
+
+    /** Fixed-size constructor
+      */
+    EIGEN_DEVICE_FUNC
+    inline Block(XprType& xpr, Index startRow, Index startCol)
+      : Impl(xpr, startRow, startCol)
+    {
+      EIGEN_STATIC_ASSERT(RowsAtCompileTime!=Dynamic && ColsAtCompileTime!=Dynamic,THIS_METHOD_IS_ONLY_FOR_FIXED_SIZE)
+      eigen_assert(startRow >= 0 && BlockRows >= 0 && startRow + BlockRows <= xpr.rows()
+             && startCol >= 0 && BlockCols >= 0 && startCol + BlockCols <= xpr.cols());
+    }
+
+    /** Dynamic-size constructor
+      */
+    EIGEN_DEVICE_FUNC
+    inline Block(XprType& xpr,
+          Index startRow, Index startCol,
+          Index blockRows, Index blockCols)
+      : Impl(xpr, startRow, startCol, blockRows, blockCols)
+    {
+      eigen_assert((RowsAtCompileTime==Dynamic || RowsAtCompileTime==blockRows)
+          && (ColsAtCompileTime==Dynamic || ColsAtCompileTime==blockCols));
+      eigen_assert(startRow >= 0 && blockRows >= 0 && startRow  <= xpr.rows() - blockRows
+          && startCol >= 0 && blockCols >= 0 && startCol <= xpr.cols() - blockCols);
+    }
+};
+         
+// The generic default implementation for dense block simplu forward to the internal::BlockImpl_dense
+// that must be specialized for direct and non-direct access...
+template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel>
+class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
+  : public internal::BlockImpl_dense<XprType, BlockRows, BlockCols, InnerPanel>
+{
+    typedef internal::BlockImpl_dense<XprType, BlockRows, BlockCols, InnerPanel> Impl;
+    typedef typename XprType::StorageIndex StorageIndex;
+  public:
+    typedef Impl Base;
+    EIGEN_INHERIT_ASSIGNMENT_OPERATORS(BlockImpl)
+    EIGEN_DEVICE_FUNC inline BlockImpl(XprType& xpr, Index i) : Impl(xpr,i) {}
+    EIGEN_DEVICE_FUNC inline BlockImpl(XprType& xpr, Index startRow, Index startCol) : Impl(xpr, startRow, startCol) {}
+    EIGEN_DEVICE_FUNC
+    inline BlockImpl(XprType& xpr, Index startRow, Index startCol, Index blockRows, Index blockCols)
+      : Impl(xpr, startRow, startCol, blockRows, blockCols) {}
+};
+
+namespace internal {
+
+/** \internal Internal implementation of dense Blocks in the general case. */
+template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
+  : public internal::dense_xpr_base<Block<XprType, BlockRows, BlockCols, InnerPanel> >::type
+{
+    typedef Block<XprType, BlockRows, BlockCols, InnerPanel> BlockType;
+    typedef typename internal::ref_selector<XprType>::non_const_type XprTypeNested;
+  public:
+
+    typedef typename internal::dense_xpr_base<BlockType>::type Base;
+    EIGEN_DENSE_PUBLIC_INTERFACE(BlockType)
+    EIGEN_INHERIT_ASSIGNMENT_OPERATORS(BlockImpl_dense)
+
+    // class InnerIterator; // FIXME apparently never used
+
+    /** Column or Row constructor
+      */
+    EIGEN_DEVICE_FUNC
+    inline BlockImpl_dense(XprType& xpr, Index i)
+      : m_xpr(xpr),
+        // It is a row if and only if BlockRows==1 and BlockCols==XprType::ColsAtCompileTime,
+        // and it is a column if and only if BlockRows==XprType::RowsAtCompileTime and BlockCols==1,
+        // all other cases are invalid.
+        // The case a 1x1 matrix seems ambiguous, but the result is the same anyway.
+        m_startRow( (BlockRows==1) && (BlockCols==XprType::ColsAtCompileTime) ? i : 0),
+        m_startCol( (BlockRows==XprType::RowsAtCompileTime) && (BlockCols==1) ? i : 0),
+        m_blockRows(BlockRows==1 ? 1 : xpr.rows()),
+        m_blockCols(BlockCols==1 ? 1 : xpr.cols())
+    {}
+
+    /** Fixed-size constructor
+      */
+    EIGEN_DEVICE_FUNC
+    inline BlockImpl_dense(XprType& xpr, Index startRow, Index startCol)
+      : m_xpr(xpr), m_startRow(startRow), m_startCol(startCol),
+                    m_blockRows(BlockRows), m_blockCols(BlockCols)
+    {}
+
+    /** Dynamic-size constructor
+      */
+    EIGEN_DEVICE_FUNC
+    inline BlockImpl_dense(XprType& xpr,
+          Index startRow, Index startCol,
+          Index blockRows, Index blockCols)
+      : m_xpr(xpr), m_startRow(startRow), m_startCol(startCol),
+                    m_blockRows(blockRows), m_blockCols(blockCols)
+    {}
+
+    EIGEN_DEVICE_FUNC inline Index rows() const { return m_blockRows.value(); }
+    EIGEN_DEVICE_FUNC inline Index cols() const { return m_blockCols.value(); }
+
+    EIGEN_DEVICE_FUNC
+    inline Scalar& coeffRef(Index rowId, Index colId)
+    {
+      EIGEN_STATIC_ASSERT_LVALUE(XprType)
+      return m_xpr.coeffRef(rowId + m_startRow.value(), colId + m_startCol.value());
+    }
+
+    EIGEN_DEVICE_FUNC
+    inline const Scalar& coeffRef(Index rowId, Index colId) const
+    {
+      return m_xpr.derived().coeffRef(rowId + m_startRow.value(), colId + m_startCol.value());
+    }
+
+    EIGEN_DEVICE_FUNC
+    EIGEN_STRONG_INLINE const CoeffReturnType coeff(Index rowId, Index colId) const
+    {
+      return m_xpr.coeff(rowId + m_startRow.value(), colId + m_startCol.value());
+    }
+
+    EIGEN_DEVICE_FUNC
+    inline Scalar& coeffRef(Index index)
+    {
+      EIGEN_STATIC_ASSERT_LVALUE(XprType)
+      return m_xpr.coeffRef(m_startRow.value() + (RowsAtCompileTime == 1 ? 0 : index),
+                            m_startCol.value() + (RowsAtCompileTime == 1 ? index : 0));
+    }
+
+    EIGEN_DEVICE_FUNC
+    inline const Scalar& coeffRef(Index index) const
+    {
+      return m_xpr.coeffRef(m_startRow.value() + (RowsAtCompileTime == 1 ? 0 : index),
+                            m_startCol.value() + (RowsAtCompileTime == 1 ? index : 0));
+    }
+
+    EIGEN_DEVICE_FUNC
+    inline const CoeffReturnType coeff(Index index) const
+    {
+      return m_xpr.coeff(m_startRow.value() + (RowsAtCompileTime == 1 ? 0 : index),
+                         m_startCol.value() + (RowsAtCompileTime == 1 ? index : 0));
+    }
+
+    template<int LoadMode>
+    inline PacketScalar packet(Index rowId, Index colId) const
+    {
+      return m_xpr.template packet<Unaligned>(rowId + m_startRow.value(), colId + m_startCol.value());
+    }
+
+    template<int LoadMode>
+    inline void writePacket(Index rowId, Index colId, const PacketScalar& val)
+    {
+      m_xpr.template writePacket<Unaligned>(rowId + m_startRow.value(), colId + m_startCol.value(), val);
+    }
+
+    template<int LoadMode>
+    inline PacketScalar packet(Index index) const
+    {
+      return m_xpr.template packet<Unaligned>
+              (m_startRow.value() + (RowsAtCompileTime == 1 ? 0 : index),
+               m_startCol.value() + (RowsAtCompileTime == 1 ? index : 0));
+    }
+
+    template<int LoadMode>
+    inline void writePacket(Index index, const PacketScalar& val)
+    {
+      m_xpr.template writePacket<Unaligned>
+         (m_startRow.value() + (RowsAtCompileTime == 1 ? 0 : index),
+          m_startCol.value() + (RowsAtCompileTime == 1 ? index : 0), val);
+    }
+
+    #ifdef EIGEN_PARSED_BY_DOXYGEN
+    /** \sa MapBase::data() */
+    EIGEN_DEVICE_FUNC inline const Scalar* data() const;
+    EIGEN_DEVICE_FUNC inline Index innerStride() const;
+    EIGEN_DEVICE_FUNC inline Index outerStride() const;
+    #endif
+
+    EIGEN_DEVICE_FUNC
+    const typename internal::remove_all<XprTypeNested>::type& nestedExpression() const
+    { 
+      return m_xpr; 
+    }
+
+    EIGEN_DEVICE_FUNC
+    XprType& nestedExpression() { return m_xpr; }
+      
+    EIGEN_DEVICE_FUNC
+    StorageIndex startRow() const
+    { 
+      return m_startRow.value(); 
+    }
+      
+    EIGEN_DEVICE_FUNC
+    StorageIndex startCol() const
+    { 
+      return m_startCol.value(); 
+    }
+
+  protected:
+
+    XprTypeNested m_xpr;
+    const internal::variable_if_dynamic<StorageIndex, (XprType::RowsAtCompileTime == 1 && BlockRows==1) ? 0 : Dynamic> m_startRow;
+    const internal::variable_if_dynamic<StorageIndex, (XprType::ColsAtCompileTime == 1 && BlockCols==1) ? 0 : Dynamic> m_startCol;
+    const internal::variable_if_dynamic<StorageIndex, RowsAtCompileTime> m_blockRows;
+    const internal::variable_if_dynamic<StorageIndex, ColsAtCompileTime> m_blockCols;
+};
+
+/** \internal Internal implementation of dense Blocks in the direct access case.*/
+template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel>
+class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
+  : public MapBase<Block<XprType, BlockRows, BlockCols, InnerPanel> >
+{
+    typedef Block<XprType, BlockRows, BlockCols, InnerPanel> BlockType;
+    typedef typename internal::ref_selector<XprType>::non_const_type XprTypeNested;
+    enum {
+      XprTypeIsRowMajor = (int(traits<XprType>::Flags)&RowMajorBit) != 0
+    };
+  public:
+
+    typedef MapBase<BlockType> Base;
+    EIGEN_DENSE_PUBLIC_INTERFACE(BlockType)
+    EIGEN_INHERIT_ASSIGNMENT_OPERATORS(BlockImpl_dense)
+
+    /** Column or Row constructor
+      */
+    EIGEN_DEVICE_FUNC
+    inline BlockImpl_dense(XprType& xpr, Index i)
+      : Base(xpr.data() + i * (    ((BlockRows==1) && (BlockCols==XprType::ColsAtCompileTime) && (!XprTypeIsRowMajor)) 
+                                || ((BlockRows==XprType::RowsAtCompileTime) && (BlockCols==1) && ( XprTypeIsRowMajor)) ? xpr.innerStride() : xpr.outerStride()),
+             BlockRows==1 ? 1 : xpr.rows(),
+             BlockCols==1 ? 1 : xpr.cols()),
+        m_xpr(xpr),
+        m_startRow( (BlockRows==1) && (BlockCols==XprType::ColsAtCompileTime) ? i : 0),
+        m_startCol( (BlockRows==XprType::RowsAtCompileTime) && (BlockCols==1) ? i : 0)
+    {
+      init();
+    }
+
+    /** Fixed-size constructor
+      */
+    EIGEN_DEVICE_FUNC
+    inline BlockImpl_dense(XprType& xpr, Index startRow, Index startCol)
+      : Base(xpr.data()+xpr.innerStride()*(XprTypeIsRowMajor?startCol:startRow) + xpr.outerStride()*(XprTypeIsRowMajor?startRow:startCol)),
+        m_xpr(xpr), m_startRow(startRow), m_startCol(startCol)
+    {
+      init();
+    }
+
+    /** Dynamic-size constructor
+      */
+    EIGEN_DEVICE_FUNC
+    inline BlockImpl_dense(XprType& xpr,
+          Index startRow, Index startCol,
+          Index blockRows, Index blockCols)
+      : Base(xpr.data()+xpr.innerStride()*(XprTypeIsRowMajor?startCol:startRow) + xpr.outerStride()*(XprTypeIsRowMajor?startRow:startCol), blockRows, blockCols),
+        m_xpr(xpr), m_startRow(startRow), m_startCol(startCol)
+    {
+      init();
+    }
+
+    EIGEN_DEVICE_FUNC
+    const typename internal::remove_all<XprTypeNested>::type& nestedExpression() const
+    { 
+      return m_xpr; 
+    }
+
+    EIGEN_DEVICE_FUNC
+    XprType& nestedExpression() { return m_xpr; }
+      
+    /** \sa MapBase::innerStride() */
+    EIGEN_DEVICE_FUNC
+    inline Index innerStride() const
+    {
+      return internal::traits<BlockType>::HasSameStorageOrderAsXprType
+             ? m_xpr.innerStride()
+             : m_xpr.outerStride();
+    }
+
+    /** \sa MapBase::outerStride() */
+    EIGEN_DEVICE_FUNC
+    inline Index outerStride() const
+    {
+      return m_outerStride;
+    }
+
+    EIGEN_DEVICE_FUNC
+    StorageIndex startRow() const
+    {
+      return m_startRow.value();
+    }
+
+    EIGEN_DEVICE_FUNC
+    StorageIndex startCol() const
+    {
+      return m_startCol.value();
+    }
+
+  #ifndef __SUNPRO_CC
+  // FIXME sunstudio is not friendly with the above friend...
+  // META-FIXME there is no 'friend' keyword around here. Is this obsolete?
+  protected:
+  #endif
+
+    #ifndef EIGEN_PARSED_BY_DOXYGEN
+    /** \internal used by allowAligned() */
+    EIGEN_DEVICE_FUNC
+    inline BlockImpl_dense(XprType& xpr, const Scalar* data, Index blockRows, Index blockCols)
+      : Base(data, blockRows, blockCols), m_xpr(xpr)
+    {
+      init();
+    }
+    #endif
+
+  protected:
+    EIGEN_DEVICE_FUNC
+    void init()
+    {
+      m_outerStride = internal::traits<BlockType>::HasSameStorageOrderAsXprType
+                    ? m_xpr.outerStride()
+                    : m_xpr.innerStride();
+    }
+
+    XprTypeNested m_xpr;
+    const internal::variable_if_dynamic<StorageIndex, (XprType::RowsAtCompileTime == 1 && BlockRows==1) ? 0 : Dynamic> m_startRow;
+    const internal::variable_if_dynamic<StorageIndex, (XprType::ColsAtCompileTime == 1 && BlockCols==1) ? 0 : Dynamic> m_startCol;
+    Index m_outerStride;
+};
+
+} // end namespace internal
+
+} // end namespace Eigen
+
+#endif // EIGEN_BLOCK_H
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/SelfAdjointView.h
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/SelfAdjointView.h	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/SelfAdjointView.h	(revision 3761)
@@ -0,0 +1,352 @@
+// This file is part of Eigen, a lightweight C++ template library
+// for linear algebra.
+//
+// Copyright (C) 2009 Gael Guennebaud <gael.guennebaud@inria.fr>
+//
+// This Source Code Form is subject to the terms of the Mozilla
+// Public License v. 2.0. If a copy of the MPL was not distributed
+// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
+
+#ifndef EIGEN_SELFADJOINTMATRIX_H
+#define EIGEN_SELFADJOINTMATRIX_H
+
+namespace Eigen { 
+
+/** \class SelfAdjointView
+  * \ingroup Core_Module
+  *
+  *
+  * \brief Expression of a selfadjoint matrix from a triangular part of a dense matrix
+  *
+  * \param MatrixType the type of the dense matrix storing the coefficients
+  * \param TriangularPart can be either \c #Lower or \c #Upper
+  *
+  * This class is an expression of a sefladjoint matrix from a triangular part of a matrix
+  * with given dense storage of the coefficients. It is the return type of MatrixBase::selfadjointView()
+  * and most of the time this is the only way that it is used.
+  *
+  * \sa class TriangularBase, MatrixBase::selfadjointView()
+  */
+
+namespace internal {
+template<typename MatrixType, unsigned int UpLo>
+struct traits<SelfAdjointView<MatrixType, UpLo> > : traits<MatrixType>
+{
+  typedef typename ref_selector<MatrixType>::non_const_type MatrixTypeNested;
+  typedef typename remove_all<MatrixTypeNested>::type MatrixTypeNestedCleaned;
+  typedef MatrixType ExpressionType;
+  typedef typename MatrixType::PlainObject FullMatrixType;
+  enum {
+    Mode = UpLo | SelfAdjoint,
+    FlagsLvalueBit = is_lvalue<MatrixType>::value ? LvalueBit : 0,
+    Flags =  MatrixTypeNestedCleaned::Flags & (HereditaryBits|FlagsLvalueBit)
+           & (~(PacketAccessBit | DirectAccessBit | LinearAccessBit)) // FIXME these flags should be preserved
+  };
+};
+}
+
+
+template<typename _MatrixType, unsigned int UpLo> class SelfAdjointView
+  : public TriangularBase<SelfAdjointView<_MatrixType, UpLo> >
+{
+  public:
+
+    typedef _MatrixType MatrixType;
+    typedef TriangularBase<SelfAdjointView> Base;
+    typedef typename internal::traits<SelfAdjointView>::MatrixTypeNested MatrixTypeNested;
+    typedef typename internal::traits<SelfAdjointView>::MatrixTypeNestedCleaned MatrixTypeNestedCleaned;
+    typedef MatrixTypeNestedCleaned NestedExpression;
+
+    /** \brief The type of coefficients in this matrix */
+    typedef typename internal::traits<SelfAdjointView>::Scalar Scalar; 
+    typedef typename MatrixType::StorageIndex StorageIndex;
+    typedef typename internal::remove_all<typename MatrixType::ConjugateReturnType>::type MatrixConjugateReturnType;
+
+    enum {
+      Mode = internal::traits<SelfAdjointView>::Mode,
+      Flags = internal::traits<SelfAdjointView>::Flags,
+      TransposeMode = ((Mode & Upper) ? Lower : 0) | ((Mode & Lower) ? Upper : 0)
+    };
+    typedef typename MatrixType::PlainObject PlainObject;
+
+    EIGEN_DEVICE_FUNC
+    explicit inline SelfAdjointView(MatrixType& matrix) : m_matrix(matrix)
+    {
+      EIGEN_STATIC_ASSERT(UpLo==Lower || UpLo==Upper,SELFADJOINTVIEW_ACCEPTS_UPPER_AND_LOWER_MODE_ONLY);
+    }
+
+    EIGEN_DEVICE_FUNC
+    inline Index rows() const { return m_matrix.rows(); }
+    EIGEN_DEVICE_FUNC
+    inline Index cols() const { return m_matrix.cols(); }
+    EIGEN_DEVICE_FUNC
+    inline Index outerStride() const { return m_matrix.outerStride(); }
+    EIGEN_DEVICE_FUNC
+    inline Index innerStride() const { return m_matrix.innerStride(); }
+
+    /** \sa MatrixBase::coeff()
+      * \warning the coordinates must fit into the referenced triangular part
+      */
+    EIGEN_DEVICE_FUNC
+    inline Scalar coeff(Index row, Index col) const
+    {
+      Base::check_coordinates_internal(row, col);
+      return m_matrix.coeff(row, col);
+    }
+
+    /** \sa MatrixBase::coeffRef()
+      * \warning the coordinates must fit into the referenced triangular part
+      */
+    EIGEN_DEVICE_FUNC
+    inline Scalar& coeffRef(Index row, Index col)
+    {
+      EIGEN_STATIC_ASSERT_LVALUE(SelfAdjointView);
+      Base::check_coordinates_internal(row, col);
+      return m_matrix.coeffRef(row, col);
+    }
+
+    /** \internal */
+    EIGEN_DEVICE_FUNC
+    const MatrixTypeNestedCleaned& _expression() const { return m_matrix; }
+
+    EIGEN_DEVICE_FUNC
+    const MatrixTypeNestedCleaned& nestedExpression() const { return m_matrix; }
+    EIGEN_DEVICE_FUNC
+    MatrixTypeNestedCleaned& nestedExpression() { return m_matrix; }
+
+    /** Efficient triangular matrix times vector/matrix product */
+    template<typename OtherDerived>
+    EIGEN_DEVICE_FUNC
+    const Product<SelfAdjointView,OtherDerived>
+    operator*(const MatrixBase<OtherDerived>& rhs) const
+    {
+      return Product<SelfAdjointView,OtherDerived>(*this, rhs.derived());
+    }
+
+    /** Efficient vector/matrix times triangular matrix product */
+    template<typename OtherDerived> friend
+    EIGEN_DEVICE_FUNC
+    const Product<OtherDerived,SelfAdjointView>
+    operator*(const MatrixBase<OtherDerived>& lhs, const SelfAdjointView& rhs)
+    {
+      return Product<OtherDerived,SelfAdjointView>(lhs.derived(),rhs);
+    }
+    
+    friend EIGEN_DEVICE_FUNC
+    const SelfAdjointView<const EIGEN_SCALAR_BINARYOP_EXPR_RETURN_TYPE(Scalar,MatrixType,product),UpLo>
+    operator*(const Scalar& s, const SelfAdjointView& mat)
+    {
+      return (s*mat.nestedExpression()).template selfadjointView<UpLo>();
+    }
+
+    /** Perform a symmetric rank 2 update of the selfadjoint matrix \c *this:
+      * \f$ this = this + \alpha u v^* + conj(\alpha) v u^* \f$
+      * \returns a reference to \c *this
+      *
+      * The vectors \a u and \c v \b must be column vectors, however they can be
+      * a adjoint expression without any overhead. Only the meaningful triangular
+      * part of the matrix is updated, the rest is left unchanged.
+      *
+      * \sa rankUpdate(const MatrixBase<DerivedU>&, Scalar)
+      */
+    template<typename DerivedU, typename DerivedV>
+    EIGEN_DEVICE_FUNC
+    SelfAdjointView& rankUpdate(const MatrixBase<DerivedU>& u, const MatrixBase<DerivedV>& v, const Scalar& alpha = Scalar(1));
+
+    /** Perform a symmetric rank K update of the selfadjoint matrix \c *this:
+      * \f$ this = this + \alpha ( u u^* ) \f$ where \a u is a vector or matrix.
+      *
+      * \returns a reference to \c *this
+      *
+      * Note that to perform \f$ this = this + \alpha ( u^* u ) \f$ you can simply
+      * call this function with u.adjoint().
+      *
+      * \sa rankUpdate(const MatrixBase<DerivedU>&, const MatrixBase<DerivedV>&, Scalar)
+      */
+    template<typename DerivedU>
+    EIGEN_DEVICE_FUNC
+    SelfAdjointView& rankUpdate(const MatrixBase<DerivedU>& u, const Scalar& alpha = Scalar(1));
+
+    /** \returns an expression of a triangular view extracted from the current selfadjoint view of a given triangular part
+      *
+      * The parameter \a TriMode can have the following values: \c #Upper, \c #StrictlyUpper, \c #UnitUpper,
+      * \c #Lower, \c #StrictlyLower, \c #UnitLower.
+      *
+      * If \c TriMode references the same triangular part than \c *this, then this method simply return a \c TriangularView of the nested expression,
+      * otherwise, the nested expression is first transposed, thus returning a \c TriangularView<Transpose<MatrixType>> object.
+      *
+      * \sa MatrixBase::triangularView(), class TriangularView
+      */
+    template<unsigned int TriMode>
+    EIGEN_DEVICE_FUNC
+    typename internal::conditional<(TriMode&(Upper|Lower))==(UpLo&(Upper|Lower)),
+                                   TriangularView<MatrixType,TriMode>,
+                                   TriangularView<typename MatrixType::AdjointReturnType,TriMode> >::type
+    triangularView() const
+    {
+      typename internal::conditional<(TriMode&(Upper|Lower))==(UpLo&(Upper|Lower)), MatrixType&, typename MatrixType::ConstTransposeReturnType>::type tmp1(m_matrix);
+      typename internal::conditional<(TriMode&(Upper|Lower))==(UpLo&(Upper|Lower)), MatrixType&, typename MatrixType::AdjointReturnType>::type tmp2(tmp1);
+      return typename internal::conditional<(TriMode&(Upper|Lower))==(UpLo&(Upper|Lower)),
+                                   TriangularView<MatrixType,TriMode>,
+                                   TriangularView<typename MatrixType::AdjointReturnType,TriMode> >::type(tmp2);
+    }
+
+    typedef SelfAdjointView<const MatrixConjugateReturnType,UpLo> ConjugateReturnType;
+    /** \sa MatrixBase::conjugate() const */
+    EIGEN_DEVICE_FUNC
+    inline const ConjugateReturnType conjugate() const
+    { return ConjugateReturnType(m_matrix.conjugate()); }
+
+    typedef SelfAdjointView<const typename MatrixType::AdjointReturnType,TransposeMode> AdjointReturnType;
+    /** \sa MatrixBase::adjoint() const */
+    EIGEN_DEVICE_FUNC
+    inline const AdjointReturnType adjoint() const
+    { return AdjointReturnType(m_matrix.adjoint()); }
+
+    typedef SelfAdjointView<typename MatrixType::TransposeReturnType,TransposeMode> TransposeReturnType;
+     /** \sa MatrixBase::transpose() */
+    EIGEN_DEVICE_FUNC
+    inline TransposeReturnType transpose()
+    {
+      EIGEN_STATIC_ASSERT_LVALUE(MatrixType)
+      typename MatrixType::TransposeReturnType tmp(m_matrix);
+      return TransposeReturnType(tmp);
+    }
+
+    typedef SelfAdjointView<const typename MatrixType::ConstTransposeReturnType,TransposeMode> ConstTransposeReturnType;
+    /** \sa MatrixBase::transpose() const */
+    EIGEN_DEVICE_FUNC
+    inline const ConstTransposeReturnType transpose() const
+    {
+      return ConstTransposeReturnType(m_matrix.transpose());
+    }
+
+    /** \returns a const expression of the main diagonal of the matrix \c *this
+      *
+      * This method simply returns the diagonal of the nested expression, thus by-passing the SelfAdjointView decorator.
+      *
+      * \sa MatrixBase::diagonal(), class Diagonal */
+    EIGEN_DEVICE_FUNC
+    typename MatrixType::ConstDiagonalReturnType diagonal() const
+    {
+      return typename MatrixType::ConstDiagonalReturnType(m_matrix);
+    }
+
+/////////// Cholesky module ///////////
+
+    const LLT<PlainObject, UpLo> llt() const;
+    const LDLT<PlainObject, UpLo> ldlt() const;
+
+/////////// Eigenvalue module ///////////
+
+    /** Real part of #Scalar */
+    typedef typename NumTraits<Scalar>::Real RealScalar;
+    /** Return type of eigenvalues() */
+    typedef Matrix<RealScalar, internal::traits<MatrixType>::ColsAtCompileTime, 1> EigenvaluesReturnType;
+
+    EIGEN_DEVICE_FUNC
+    EigenvaluesReturnType eigenvalues() const;
+    EIGEN_DEVICE_FUNC
+    RealScalar operatorNorm() const;
+
+  protected:
+    MatrixTypeNested m_matrix;
+};
+
+
+// template<typename OtherDerived, typename MatrixType, unsigned int UpLo>
+// internal::selfadjoint_matrix_product_returntype<OtherDerived,SelfAdjointView<MatrixType,UpLo> >
+// operator*(const MatrixBase<OtherDerived>& lhs, const SelfAdjointView<MatrixType,UpLo>& rhs)
+// {
+//   return internal::matrix_selfadjoint_product_returntype<OtherDerived,SelfAdjointView<MatrixType,UpLo> >(lhs.derived(),rhs);
+// }
+
+// selfadjoint to dense matrix
+
+namespace internal {
+
+// TODO currently a selfadjoint expression has the form SelfAdjointView<.,.>
+//      in the future selfadjoint-ness should be defined by the expression traits
+//      such that Transpose<SelfAdjointView<.,.> > is valid. (currently TriangularBase::transpose() is overloaded to make it work)
+template<typename MatrixType, unsigned int Mode>
+struct evaluator_traits<SelfAdjointView<MatrixType,Mode> >
+{
+  typedef typename storage_kind_to_evaluator_kind<typename MatrixType::StorageKind>::Kind Kind;
+  typedef SelfAdjointShape Shape;
+};
+
+template<int UpLo, int SetOpposite, typename DstEvaluatorTypeT, typename SrcEvaluatorTypeT, typename Functor, int Version>
+class triangular_dense_assignment_kernel<UpLo,SelfAdjoint,SetOpposite,DstEvaluatorTypeT,SrcEvaluatorTypeT,Functor,Version>
+  : public generic_dense_assignment_kernel<DstEvaluatorTypeT, SrcEvaluatorTypeT, Functor, Version>
+{
+protected:
+  typedef generic_dense_assignment_kernel<DstEvaluatorTypeT, SrcEvaluatorTypeT, Functor, Version> Base;
+  typedef typename Base::DstXprType DstXprType;
+  typedef typename Base::SrcXprType SrcXprType;
+  using Base::m_dst;
+  using Base::m_src;
+  using Base::m_functor;
+public:
+  
+  typedef typename Base::DstEvaluatorType DstEvaluatorType;
+  typedef typename Base::SrcEvaluatorType SrcEvaluatorType;
+  typedef typename Base::Scalar Scalar;
+  typedef typename Base::AssignmentTraits AssignmentTraits;
+  
+  
+  EIGEN_DEVICE_FUNC triangular_dense_assignment_kernel(DstEvaluatorType &dst, const SrcEvaluatorType &src, const Functor &func, DstXprType& dstExpr)
+    : Base(dst, src, func, dstExpr)
+  {}
+  
+  EIGEN_DEVICE_FUNC void assignCoeff(Index row, Index col)
+  {
+    eigen_internal_assert(row!=col);
+    Scalar tmp = m_src.coeff(row,col);
+    m_functor.assignCoeff(m_dst.coeffRef(row,col), tmp);
+    m_functor.assignCoeff(m_dst.coeffRef(col,row), numext::conj(tmp));
+  }
+  
+  EIGEN_DEVICE_FUNC void assignDiagonalCoeff(Index id)
+  {
+    Base::assignCoeff(id,id);
+  }
+  
+  EIGEN_DEVICE_FUNC void assignOppositeCoeff(Index, Index)
+  { eigen_internal_assert(false && "should never be called"); }
+};
+
+} // end namespace internal
+
+/***************************************************************************
+* Implementation of MatrixBase methods
+***************************************************************************/
+
+/** This is the const version of MatrixBase::selfadjointView() */
+template<typename Derived>
+template<unsigned int UpLo>
+typename MatrixBase<Derived>::template ConstSelfAdjointViewReturnType<UpLo>::Type
+MatrixBase<Derived>::selfadjointView() const
+{
+  return typename ConstSelfAdjointViewReturnType<UpLo>::Type(derived());
+}
+
+/** \returns an expression of a symmetric/self-adjoint view extracted from the upper or lower triangular part of the current matrix
+  *
+  * The parameter \a UpLo can be either \c #Upper or \c #Lower
+  *
+  * Example: \include MatrixBase_selfadjointView.cpp
+  * Output: \verbinclude MatrixBase_selfadjointView.out
+  *
+  * \sa class SelfAdjointView
+  */
+template<typename Derived>
+template<unsigned int UpLo>
+typename MatrixBase<Derived>::template SelfAdjointViewReturnType<UpLo>::Type
+MatrixBase<Derived>::selfadjointView()
+{
+  return typename SelfAdjointViewReturnType<UpLo>::Type(derived());
+}
+
+} // end namespace Eigen
+
+#endif // EIGEN_SELFADJOINTMATRIX_H
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h	(revision 3761)
@@ -0,0 +1,1688 @@
+// This file is part of Eigen, a lightweight C++ template library
+// for linear algebra.
+//
+// Copyright (C) 2011 Benoit Jacob <jacob.benoit.1@gmail.com>
+// Copyright (C) 2011-2014 Gael Guennebaud <gael.guennebaud@inria.fr>
+// Copyright (C) 2011-2012 Jitse Niesen <jitse@maths.leeds.ac.uk>
+//
+// This Source Code Form is subject to the terms of the Mozilla
+// Public License v. 2.0. If a copy of the MPL was not distributed
+// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
+
+
+#ifndef EIGEN_COREEVALUATORS_H
+#define EIGEN_COREEVALUATORS_H
+
+namespace Eigen {
+  
+namespace internal {
+
+// This class returns the evaluator kind from the expression storage kind.
+// Default assumes index based accessors
+template<typename StorageKind>
+struct storage_kind_to_evaluator_kind {
+  typedef IndexBased Kind;
+};
+
+// This class returns the evaluator shape from the expression storage kind.
+// It can be Dense, Sparse, Triangular, Diagonal, SelfAdjoint, Band, etc.
+template<typename StorageKind> struct storage_kind_to_shape;
+
+template<> struct storage_kind_to_shape<Dense>                  { typedef DenseShape Shape;           };
+template<> struct storage_kind_to_shape<SolverStorage>          { typedef SolverShape Shape;           };
+template<> struct storage_kind_to_shape<PermutationStorage>     { typedef PermutationShape Shape;     };
+template<> struct storage_kind_to_shape<TranspositionsStorage>  { typedef TranspositionsShape Shape;  };
+
+// Evaluators have to be specialized with respect to various criteria such as:
+//  - storage/structure/shape
+//  - scalar type
+//  - etc.
+// Therefore, we need specialization of evaluator providing additional template arguments for each kind of evaluators.
+// We currently distinguish the following kind of evaluators:
+// - unary_evaluator    for expressions taking only one arguments (CwiseUnaryOp, CwiseUnaryView, Transpose, MatrixWrapper, ArrayWrapper, Reverse, Replicate)
+// - binary_evaluator   for expression taking two arguments (CwiseBinaryOp)
+// - ternary_evaluator   for expression taking three arguments (CwiseTernaryOp)
+// - product_evaluator  for linear algebra products (Product); special case of binary_evaluator because it requires additional tags for dispatching.
+// - mapbase_evaluator  for Map, Block, Ref
+// - block_evaluator    for Block (special dispatching to a mapbase_evaluator or unary_evaluator)
+
+template< typename T,
+          typename Arg1Kind   = typename evaluator_traits<typename T::Arg1>::Kind,
+          typename Arg2Kind   = typename evaluator_traits<typename T::Arg2>::Kind,
+          typename Arg3Kind   = typename evaluator_traits<typename T::Arg3>::Kind,
+          typename Arg1Scalar = typename traits<typename T::Arg1>::Scalar,
+          typename Arg2Scalar = typename traits<typename T::Arg2>::Scalar,
+          typename Arg3Scalar = typename traits<typename T::Arg3>::Scalar> struct ternary_evaluator;
+
+template< typename T,
+          typename LhsKind   = typename evaluator_traits<typename T::Lhs>::Kind,
+          typename RhsKind   = typename evaluator_traits<typename T::Rhs>::Kind,
+          typename LhsScalar = typename traits<typename T::Lhs>::Scalar,
+          typename RhsScalar = typename traits<typename T::Rhs>::Scalar> struct binary_evaluator;
+
+template< typename T,
+          typename Kind   = typename evaluator_traits<typename T::NestedExpression>::Kind,
+          typename Scalar = typename T::Scalar> struct unary_evaluator;
+          
+// evaluator_traits<T> contains traits for evaluator<T> 
+
+template<typename T>
+struct evaluator_traits_base
+{
+  // by default, get evaluator kind and shape from storage
+  typedef typename storage_kind_to_evaluator_kind<typename traits<T>::StorageKind>::Kind Kind;
+  typedef typename storage_kind_to_shape<typename traits<T>::StorageKind>::Shape Shape;
+};
+
+// Default evaluator traits
+template<typename T>
+struct evaluator_traits : public evaluator_traits_base<T>
+{
+};
+
+template<typename T, typename Shape = typename evaluator_traits<T>::Shape >
+struct evaluator_assume_aliasing {
+  static const bool value = false;
+};
+
+// By default, we assume a unary expression:
+template<typename T>
+struct evaluator : public unary_evaluator<T>
+{
+  typedef unary_evaluator<T> Base;
+  EIGEN_DEVICE_FUNC explicit evaluator(const T& xpr) : Base(xpr) {}
+};
+
+
+// TODO: Think about const-correctness
+template<typename T>
+struct evaluator<const T>
+  : evaluator<T>
+{
+  EIGEN_DEVICE_FUNC
+  explicit evaluator(const T& xpr) : evaluator<T>(xpr) {}
+};
+
+// ---------- base class for all evaluators ----------
+
+template<typename ExpressionType>
+struct evaluator_base : public noncopyable
+{
+  // TODO that's not very nice to have to propagate all these traits. They are currently only needed to handle outer,inner indices.
+  typedef traits<ExpressionType> ExpressionTraits;
+  
+  enum {
+    Alignment = 0
+  };
+};
+
+// -------------------- Matrix and Array --------------------
+//
+// evaluator<PlainObjectBase> is a common base class for the
+// Matrix and Array evaluators.
+// Here we directly specialize evaluator. This is not really a unary expression, and it is, by definition, dense,
+// so no need for more sophisticated dispatching.
+
+template<typename Derived>
+struct evaluator<PlainObjectBase<Derived> >
+  : evaluator_base<Derived>
+{
+  typedef PlainObjectBase<Derived> PlainObjectType;
+  typedef typename PlainObjectType::Scalar Scalar;
+  typedef typename PlainObjectType::CoeffReturnType CoeffReturnType;
+
+  enum {
+    IsRowMajor = PlainObjectType::IsRowMajor,
+    IsVectorAtCompileTime = PlainObjectType::IsVectorAtCompileTime,
+    RowsAtCompileTime = PlainObjectType::RowsAtCompileTime,
+    ColsAtCompileTime = PlainObjectType::ColsAtCompileTime,
+    
+    CoeffReadCost = NumTraits<Scalar>::ReadCost,
+    Flags = traits<Derived>::EvaluatorFlags,
+    Alignment = traits<Derived>::Alignment
+  };
+  
+  EIGEN_DEVICE_FUNC evaluator()
+    : m_data(0),
+      m_outerStride(IsVectorAtCompileTime  ? 0 
+                                           : int(IsRowMajor) ? ColsAtCompileTime 
+                                           : RowsAtCompileTime)
+  {
+    EIGEN_INTERNAL_CHECK_COST_VALUE(CoeffReadCost);
+  }
+  
+  EIGEN_DEVICE_FUNC explicit evaluator(const PlainObjectType& m)
+    : m_data(m.data()), m_outerStride(IsVectorAtCompileTime ? 0 : m.outerStride()) 
+  {
+    EIGEN_INTERNAL_CHECK_COST_VALUE(CoeffReadCost);
+  }
+
+  EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE
+  CoeffReturnType coeff(Index row, Index col) const
+  {
+    if (IsRowMajor)
+      return m_data[row * m_outerStride.value() + col];
+    else
+      return m_data[row + col * m_outerStride.value()];
+  }
+
+  EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE
+  CoeffReturnType coeff(Index index) const
+  {
+    return m_data[index];
+  }
+
+  EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE
+  Scalar& coeffRef(Index row, Index col)
+  {
+    if (IsRowMajor)
+      return const_cast<Scalar*>(m_data)[row * m_outerStride.value() + col];
+    else
+      return const_cast<Scalar*>(m_data)[row + col * m_outerStride.value()];
+  }
+
+  EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE
+  Scalar& coeffRef(Index index)
+  {
+    return const_cast<Scalar*>(m_data)[index];
+  }
+
+  template<int LoadMode, typename PacketType>
+  EIGEN_STRONG_INLINE
+  PacketType packet(Index row, Index col) const
+  {
+    if (IsRowMajor)
+      return ploadt<PacketType, LoadMode>(m_data + row * m_outerStride.value() + col);
+    else
+      return ploadt<PacketType, LoadMode>(m_data + row + col * m_outerStride.value());
+  }
+
+  template<int LoadMode, typename PacketType>
+  EIGEN_STRONG_INLINE
+  PacketType packet(Index index) const
+  {
+    return ploadt<PacketType, LoadMode>(m_data + index);
+  }
+
+  template<int StoreMode,typename PacketType>
+  EIGEN_STRONG_INLINE
+  void writePacket(Index row, Index col, const PacketType& x)
+  {
+    if (IsRowMajor)
+      return pstoret<Scalar, PacketType, StoreMode>
+	            (const_cast<Scalar*>(m_data) + row * m_outerStride.value() + col, x);
+    else
+      return pstoret<Scalar, PacketType, StoreMode>
+                    (const_cast<Scalar*>(m_data) + row + col * m_outerStride.value(), x);
+  }
+
+  template<int StoreMode, typename PacketType>
+  EIGEN_STRONG_INLINE
+  void writePacket(Index index, const PacketType& x)
+  {
+    return pstoret<Scalar, PacketType, StoreMode>(const_cast<Scalar*>(m_data) + index, x);
+  }
+
+protected:
+  const Scalar *m_data;
+
+  // We do not need to know the outer stride for vectors
+  variable_if_dynamic<Index, IsVectorAtCompileTime  ? 0 
+                                                    : int(IsRowMajor) ? ColsAtCompileTime 
+                                                    : RowsAtCompileTime> m_outerStride;
+};
+
+template<typename Scalar, int Rows, int Cols, int Options, int MaxRows, int MaxCols>
+struct evaluator<Matrix<Scalar, Rows, Cols, Options, MaxRows, MaxCols> >
+  : evaluator<PlainObjectBase<Matrix<Scalar, Rows, Cols, Options, MaxRows, MaxCols> > >
+{
+  typedef Matrix<Scalar, Rows, Cols, Options, MaxRows, MaxCols> XprType;
+  
+  EIGEN_DEVICE_FUNC evaluator() {}
+
+  EIGEN_DEVICE_FUNC explicit evaluator(const XprType& m)
+    : evaluator<PlainObjectBase<XprType> >(m) 
+  { }
+};
+
+template<typename Scalar, int Rows, int Cols, int Options, int MaxRows, int MaxCols>
+struct evaluator<Array<Scalar, Rows, Cols, Options, MaxRows, MaxCols> >
+  : evaluator<PlainObjectBase<Array<Scalar, Rows, Cols, Options, MaxRows, MaxCols> > >
+{
+  typedef Array<Scalar, Rows, Cols, Options, MaxRows, MaxCols> XprType;
+
+  EIGEN_DEVICE_FUNC evaluator() {}
+  
+  EIGEN_DEVICE_FUNC explicit evaluator(const XprType& m)
+    : evaluator<PlainObjectBase<XprType> >(m) 
+  { }
+};
+
+// -------------------- Transpose --------------------
+
+template<typename ArgType>
+struct unary_evaluator<Transpose<ArgType>, IndexBased>
+  : evaluator_base<Transpose<ArgType> >
+{
+  typedef Transpose<ArgType> XprType;
+  
+  enum {
+    CoeffReadCost = evaluator<ArgType>::CoeffReadCost,    
+    Flags = evaluator<ArgType>::Flags ^ RowMajorBit,
+    Alignment = evaluator<ArgType>::Alignment
+  };
+
+  EIGEN_DEVICE_FUNC explicit unary_evaluator(const XprType& t) : m_argImpl(t.nestedExpression()) {}
+
+  typedef typename XprType::Scalar Scalar;
+  typedef typename XprType::CoeffReturnType CoeffReturnType;
+
+  EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE
+  CoeffReturnType coeff(Index row, Index col) const
+  {
+    return m_argImpl.coeff(col, row);
+  }
+
+  EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE
+  CoeffReturnType coeff(Index index) const
+  {
+    return m_argImpl.coeff(index);
+  }
+
+  EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE
+  Scalar& coeffRef(Index row, Index col)
+  {
+    return m_argImpl.coeffRef(col, row);
+  }
+
+  EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE
+  typename XprType::Scalar& coeffRef(Index index)
+  {
+    return m_argImpl.coeffRef(index);
+  }
+
+  template<int LoadMode, typename PacketType>
+  EIGEN_STRONG_INLINE
+  PacketType packet(Index row, Index col) const
+  {
+    return m_argImpl.template packet<LoadMode,PacketType>(col, row);
+  }
+
+  template<int LoadMode, typename PacketType>
+  EIGEN_STRONG_INLINE
+  PacketType packet(Index index) const
+  {
+    return m_argImpl.template packet<LoadMode,PacketType>(index);
+  }
+
+  template<int StoreMode, typename PacketType>
+  EIGEN_STRONG_INLINE
+  void writePacket(Index row, Index col, const PacketType& x)
+  {
+    m_argImpl.template writePacket<StoreMode,PacketType>(col, row, x);
+  }
+
+  template<int StoreMode, typename PacketType>
+  EIGEN_STRONG_INLINE
+  void writePacket(Index index, const PacketType& x)
+  {
+    m_argImpl.template writePacket<StoreMode,PacketType>(index, x);
+  }
+
+protected:
+  evaluator<ArgType> m_argImpl;
+};
+
+// -------------------- CwiseNullaryOp --------------------
+// Like Matrix and Array, this is not really a unary expression, so we directly specialize evaluator.
+// Likewise, there is not need to more sophisticated dispatching here.
+
+template<typename Scalar,typename NullaryOp,
+         bool has_nullary = has_nullary_operator<NullaryOp>::value,
+         bool has_unary   = has_unary_operator<NullaryOp>::value,
+         bool has_binary  = has_binary_operator<NullaryOp>::value>
+struct nullary_wrapper
+{
+  template <typename IndexType>
+  EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE Scalar operator()(const NullaryOp& op, IndexType i, IndexType j) const { return op(i,j); }
+  template <typename IndexType>
+  EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE Scalar operator()(const NullaryOp& op, IndexType i) const { return op(i); }
+
+  template <typename T, typename IndexType> EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE T packetOp(const NullaryOp& op, IndexType i, IndexType j) const { return op.template packetOp<T>(i,j); }
+  template <typename T, typename IndexType> EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE T packetOp(const NullaryOp& op, IndexType i) const { return op.template packetOp<T>(i); }
+};
+
+template<typename Scalar,typename NullaryOp>
+struct nullary_wrapper<Scalar,NullaryOp,true,false,false>
+{
+  template <typename IndexType>
+  EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE Scalar operator()(const NullaryOp& op, IndexType=0, IndexType=0) const { return op(); }
+  template <typename T, typename IndexType> EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE T packetOp(const NullaryOp& op, IndexType=0, IndexType=0) const { return op.template packetOp<T>(); }
+};
+
+template<typename Scalar,typename NullaryOp>
+struct nullary_wrapper<Scalar,NullaryOp,false,false,true>
+{
+  template <typename IndexType>
+  EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE Scalar operator()(const NullaryOp& op, IndexType i, IndexType j=0) const { return op(i,j); }
+  template <typename T, typename IndexType> EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE T packetOp(const NullaryOp& op, IndexType i, IndexType j=0) const { return op.template packetOp<T>(i,j); }
+};
+
+// We need the following specialization for vector-only functors assigned to a runtime vector,
+// for instance, using linspace and assigning a RowVectorXd to a MatrixXd or even a row of a MatrixXd.
+// In this case, i==0 and j is used for the actual iteration.
+template<typename Scalar,typename NullaryOp>
+struct nullary_wrapper<Scalar,NullaryOp,false,true,false>
+{
+  template <typename IndexType>
+  EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE Scalar operator()(const NullaryOp& op, IndexType i, IndexType j) const {
+    eigen_assert(i==0 || j==0);
+    return op(i+j);
+  }
+  template <typename T, typename IndexType> EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE T packetOp(const NullaryOp& op, IndexType i, IndexType j) const {
+    eigen_assert(i==0 || j==0);
+    return op.template packetOp<T>(i+j);
+  }
+
+  template <typename IndexType>
+  EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE Scalar operator()(const NullaryOp& op, IndexType i) const { return op(i); }
+  template <typename T, typename IndexType>
+  EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE T packetOp(const NullaryOp& op, IndexType i) const { return op.template packetOp<T>(i); }
+};
+
+template<typename Scalar,typename NullaryOp>
+struct nullary_wrapper<Scalar,NullaryOp,false,false,false> {};
+
+#if 0 && EIGEN_COMP_MSVC>0
+// Disable this ugly workaround. This is now handled in traits<Ref>::match,
+// but this piece of code might still become handly if some other weird compilation
+// erros pop up again.
+
+// MSVC exhibits a weird compilation error when
+// compiling:
+//    Eigen::MatrixXf A = MatrixXf::Random(3,3);
+//    Ref<const MatrixXf> R = 2.f*A;
+// and that has_*ary_operator<scalar_constant_op<float>> have not been instantiated yet.
+// The "problem" is that evaluator<2.f*A> is instantiated by traits<Ref>::match<2.f*A>
+// and at that time has_*ary_operator<T> returns true regardless of T.
+// Then nullary_wrapper is badly instantiated as nullary_wrapper<.,.,true,true,true>.
+// The trick is thus to defer the proper instantiation of nullary_wrapper when coeff(),
+// and packet() are really instantiated as implemented below:
+
+// This is a simple wrapper around Index to enforce the re-instantiation of
+// has_*ary_operator when needed.
+template<typename T> struct nullary_wrapper_workaround_msvc {
+  nullary_wrapper_workaround_msvc(const T&);
+  operator T()const;
+};
+
+template<typename Scalar,typename NullaryOp>
+struct nullary_wrapper<Scalar,NullaryOp,true,true,true>
+{
+  template <typename IndexType>
+  EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE Scalar operator()(const NullaryOp& op, IndexType i, IndexType j) const {
+    return nullary_wrapper<Scalar,NullaryOp,
+    has_nullary_operator<NullaryOp,nullary_wrapper_workaround_msvc<IndexType> >::value,
+    has_unary_operator<NullaryOp,nullary_wrapper_workaround_msvc<IndexType> >::value,
+    has_binary_operator<NullaryOp,nullary_wrapper_workaround_msvc<IndexType> >::value>().operator()(op,i,j);
+  }
+  template <typename IndexType>
+  EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE Scalar operator()(const NullaryOp& op, IndexType i) const {
+    return nullary_wrapper<Scalar,NullaryOp,
+    has_nullary_operator<NullaryOp,nullary_wrapper_workaround_msvc<IndexType> >::value,
+    has_unary_operator<NullaryOp,nullary_wrapper_workaround_msvc<IndexType> >::value,
+    has_binary_operator<NullaryOp,nullary_wrapper_workaround_msvc<IndexType> >::value>().operator()(op,i);
+  }
+
+  template <typename T, typename IndexType>
+  EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE T packetOp(const NullaryOp& op, IndexType i, IndexType j) const {
+    return nullary_wrapper<Scalar,NullaryOp,
+    has_nullary_operator<NullaryOp,nullary_wrapper_workaround_msvc<IndexType> >::value,
+    has_unary_operator<NullaryOp,nullary_wrapper_workaround_msvc<IndexType> >::value,
+    has_binary_operator<NullaryOp,nullary_wrapper_workaround_msvc<IndexType> >::value>().template packetOp<T>(op,i,j);
+  }
+  template <typename T, typename IndexType>
+  EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE T packetOp(const NullaryOp& op, IndexType i) const {
+    return nullary_wrapper<Scalar,NullaryOp,
+    has_nullary_operator<NullaryOp,nullary_wrapper_workaround_msvc<IndexType> >::value,
+    has_unary_operator<NullaryOp,nullary_wrapper_workaround_msvc<IndexType> >::value,
+    has_binary_operator<NullaryOp,nullary_wrapper_workaround_msvc<IndexType> >::value>().template packetOp<T>(op,i);
+  }
+};
+#endif // MSVC workaround
+
+template<typename NullaryOp, typename PlainObjectType>
+struct evaluator<CwiseNullaryOp<NullaryOp,PlainObjectType> >
+  : evaluator_base<CwiseNullaryOp<NullaryOp,PlainObjectType> >
+{
+  typedef CwiseNullaryOp<NullaryOp,PlainObjectType> XprType;
+  typedef typename internal::remove_all<PlainObjectType>::type PlainObjectTypeCleaned;
+  
+  enum {
+    CoeffReadCost = internal::functor_traits<NullaryOp>::Cost,
+    
+    Flags = (evaluator<PlainObjectTypeCleaned>::Flags
+          &  (  HereditaryBits
+              | (functor_has_linear_access<NullaryOp>::ret  ? LinearAccessBit : 0)
+              | (functor_traits<NullaryOp>::PacketAccess    ? PacketAccessBit : 0)))
+          | (functor_traits<NullaryOp>::IsRepeatable ? 0 : EvalBeforeNestingBit),
+    Alignment = AlignedMax
+  };
+
+  EIGEN_DEVICE_FUNC explicit evaluator(const XprType& n)
+    : m_functor(n.functor()), m_wrapper()
+  {
+    EIGEN_INTERNAL_CHECK_COST_VALUE(CoeffReadCost);
+  }
+
+  typedef typename XprType::CoeffReturnType CoeffReturnType;
+
+  template <typename IndexType>
+  EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE
+  CoeffReturnType coeff(IndexType row, IndexType col) const
+  {
+    return m_wrapper(m_functor, row, col);
+  }
+
+  template <typename IndexType>
+  EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE
+  CoeffReturnType coeff(IndexType index) const
+  {
+    return m_wrapper(m_functor,index);
+  }
+
+  template<int LoadMode, typename PacketType, typename IndexType>
+  EIGEN_STRONG_INLINE
+  PacketType packet(IndexType row, IndexType col) const
+  {
+    return m_wrapper.template packetOp<PacketType>(m_functor, row, col);
+  }
+
+  template<int LoadMode, typename PacketType, typename IndexType>
+  EIGEN_STRONG_INLINE
+  PacketType packet(IndexType index) const
+  {
+    return m_wrapper.template packetOp<PacketType>(m_functor, index);
+  }
+
+protected:
+  const NullaryOp m_functor;
+  const internal::nullary_wrapper<CoeffReturnType,NullaryOp> m_wrapper;
+};
+
+// -------------------- CwiseUnaryOp --------------------
+
+template<typename UnaryOp, typename ArgType>
+struct unary_evaluator<CwiseUnaryOp<UnaryOp, ArgType>, IndexBased >
+  : evaluator_base<CwiseUnaryOp<UnaryOp, ArgType> >
+{
+  typedef CwiseUnaryOp<UnaryOp, ArgType> XprType;
+  
+  enum {
+    CoeffReadCost = evaluator<ArgType>::CoeffReadCost + functor_traits<UnaryOp>::Cost,
+    
+    Flags = evaluator<ArgType>::Flags
+          & (HereditaryBits | LinearAccessBit | (functor_traits<UnaryOp>::PacketAccess ? PacketAccessBit : 0)),
+    Alignment = evaluator<ArgType>::Alignment
+  };
+
+  EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE
+  explicit unary_evaluator(const XprType& op)
+    : m_functor(op.functor()), 
+      m_argImpl(op.nestedExpression()) 
+  {
+    EIGEN_INTERNAL_CHECK_COST_VALUE(functor_traits<UnaryOp>::Cost);
+    EIGEN_INTERNAL_CHECK_COST_VALUE(CoeffReadCost);
+  }
+
+  typedef typename XprType::CoeffReturnType CoeffReturnType;
+
+  EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE
+  CoeffReturnType coeff(Index row, Index col) const
+  {
+    return m_functor(m_argImpl.coeff(row, col));
+  }
+
+  EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE
+  CoeffReturnType coeff(Index index) const
+  {
+    return m_functor(m_argImpl.coeff(index));
+  }
+
+  template<int LoadMode, typename PacketType>
+  EIGEN_STRONG_INLINE
+  PacketType packet(Index row, Index col) const
+  {
+    return m_functor.packetOp(m_argImpl.template packet<LoadMode, PacketType>(row, col));
+  }
+
+  template<int LoadMode, typename PacketType>
+  EIGEN_STRONG_INLINE
+  PacketType packet(Index index) const
+  {
+    return m_functor.packetOp(m_argImpl.template packet<LoadMode, PacketType>(index));
+  }
+
+protected:
+  const UnaryOp m_functor;
+  evaluator<ArgType> m_argImpl;
+};
+
+// -------------------- CwiseTernaryOp --------------------
+
+// this is a ternary expression
+template<typename TernaryOp, typename Arg1, typename Arg2, typename Arg3>
+struct evaluator<CwiseTernaryOp<TernaryOp, Arg1, Arg2, Arg3> >
+  : public ternary_evaluator<CwiseTernaryOp<TernaryOp, Arg1, Arg2, Arg3> >
+{
+  typedef CwiseTernaryOp<TernaryOp, Arg1, Arg2, Arg3> XprType;
+  typedef ternary_evaluator<CwiseTernaryOp<TernaryOp, Arg1, Arg2, Arg3> > Base;
+  
+  EIGEN_DEVICE_FUNC explicit evaluator(const XprType& xpr) : Base(xpr) {}
+};
+
+template<typename TernaryOp, typename Arg1, typename Arg2, typename Arg3>
+struct ternary_evaluator<CwiseTernaryOp<TernaryOp, Arg1, Arg2, Arg3>, IndexBased, IndexBased>
+  : evaluator_base<CwiseTernaryOp<TernaryOp, Arg1, Arg2, Arg3> >
+{
+  typedef CwiseTernaryOp<TernaryOp, Arg1, Arg2, Arg3> XprType;
+  
+  enum {
+    CoeffReadCost = evaluator<Arg1>::CoeffReadCost + evaluator<Arg2>::CoeffReadCost + evaluator<Arg3>::CoeffReadCost + functor_traits<TernaryOp>::Cost,
+    
+    Arg1Flags = evaluator<Arg1>::Flags,
+    Arg2Flags = evaluator<Arg2>::Flags,
+    Arg3Flags = evaluator<Arg3>::Flags,
+    SameType = is_same<typename Arg1::Scalar,typename Arg2::Scalar>::value && is_same<typename Arg1::Scalar,typename Arg3::Scalar>::value,
+    StorageOrdersAgree = (int(Arg1Flags)&RowMajorBit)==(int(Arg2Flags)&RowMajorBit) && (int(Arg1Flags)&RowMajorBit)==(int(Arg3Flags)&RowMajorBit),
+    Flags0 = (int(Arg1Flags) | int(Arg2Flags) | int(Arg3Flags)) & (
+        HereditaryBits
+        | (int(Arg1Flags) & int(Arg2Flags) & int(Arg3Flags) &
+           ( (StorageOrdersAgree ? LinearAccessBit : 0)
+           | (functor_traits<TernaryOp>::PacketAccess && StorageOrdersAgree && SameType ? PacketAccessBit : 0)
+           )
+        )
+     ),
+    Flags = (Flags0 & ~RowMajorBit) | (Arg1Flags & RowMajorBit),
+    Alignment = EIGEN_PLAIN_ENUM_MIN(
+        EIGEN_PLAIN_ENUM_MIN(evaluator<Arg1>::Alignment, evaluator<Arg2>::Alignment),
+        evaluator<Arg3>::Alignment)
+  };
+
+  EIGEN_DEVICE_FUNC explicit ternary_evaluator(const XprType& xpr)
+    : m_functor(xpr.functor()),
+      m_arg1Impl(xpr.arg1()), 
+      m_arg2Impl(xpr.arg2()), 
+      m_arg3Impl(xpr.arg3())  
+  {
+    EIGEN_INTERNAL_CHECK_COST_VALUE(functor_traits<TernaryOp>::Cost);
+    EIGEN_INTERNAL_CHECK_COST_VALUE(CoeffReadCost);
+  }
+
+  typedef typename XprType::CoeffReturnType CoeffReturnType;
+
+  EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE
+  CoeffReturnType coeff(Index row, Index col) const
+  {
+    return m_functor(m_arg1Impl.coeff(row, col), m_arg2Impl.coeff(row, col), m_arg3Impl.coeff(row, col));
+  }
+
+  EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE
+  CoeffReturnType coeff(Index index) const
+  {
+    return m_functor(m_arg1Impl.coeff(index), m_arg2Impl.coeff(index), m_arg3Impl.coeff(index));
+  }
+
+  template<int LoadMode, typename PacketType>
+  EIGEN_STRONG_INLINE
+  PacketType packet(Index row, Index col) const
+  {
+    return m_functor.packetOp(m_arg1Impl.template packet<LoadMode,PacketType>(row, col),
+                              m_arg2Impl.template packet<LoadMode,PacketType>(row, col),
+                              m_arg3Impl.template packet<LoadMode,PacketType>(row, col));
+  }
+
+  template<int LoadMode, typename PacketType>
+  EIGEN_STRONG_INLINE
+  PacketType packet(Index index) const
+  {
+    return m_functor.packetOp(m_arg1Impl.template packet<LoadMode,PacketType>(index),
+                              m_arg2Impl.template packet<LoadMode,PacketType>(index),
+                              m_arg3Impl.template packet<LoadMode,PacketType>(index));
+  }
+
+protected:
+  const TernaryOp m_functor;
+  evaluator<Arg1> m_arg1Impl;
+  evaluator<Arg2> m_arg2Impl;
+  evaluator<Arg3> m_arg3Impl;
+};
+
+// -------------------- CwiseBinaryOp --------------------
+
+// this is a binary expression
+template<typename BinaryOp, typename Lhs, typename Rhs>
+struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
+  : public binary_evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
+{
+  typedef CwiseBinaryOp<BinaryOp, Lhs, Rhs> XprType;
+  typedef binary_evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> > Base;
+  
+  EIGEN_DEVICE_FUNC explicit evaluator(const XprType& xpr) : Base(xpr) {}
+};
+
+template<typename BinaryOp, typename Lhs, typename Rhs>
+struct binary_evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs>, IndexBased, IndexBased>
+  : evaluator_base<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
+{
+  typedef CwiseBinaryOp<BinaryOp, Lhs, Rhs> XprType;
+  
+  enum {
+    CoeffReadCost = evaluator<Lhs>::CoeffReadCost + evaluator<Rhs>::CoeffReadCost + functor_traits<BinaryOp>::Cost,
+    
+    LhsFlags = evaluator<Lhs>::Flags,
+    RhsFlags = evaluator<Rhs>::Flags,
+    SameType = is_same<typename Lhs::Scalar,typename Rhs::Scalar>::value,
+    StorageOrdersAgree = (int(LhsFlags)&RowMajorBit)==(int(RhsFlags)&RowMajorBit),
+    Flags0 = (int(LhsFlags) | int(RhsFlags)) & (
+        HereditaryBits
+      | (int(LhsFlags) & int(RhsFlags) &
+           ( (StorageOrdersAgree ? LinearAccessBit : 0)
+           | (functor_traits<BinaryOp>::PacketAccess && StorageOrdersAgree && SameType ? PacketAccessBit : 0)
+           )
+        )
+     ),
+    Flags = (Flags0 & ~RowMajorBit) | (LhsFlags & RowMajorBit),
+    Alignment = EIGEN_PLAIN_ENUM_MIN(evaluator<Lhs>::Alignment,evaluator<Rhs>::Alignment)
+  };
+
+  EIGEN_DEVICE_FUNC explicit binary_evaluator(const XprType& xpr)
+    : m_functor(xpr.functor()),
+      m_lhsImpl(xpr.lhs()), 
+      m_rhsImpl(xpr.rhs())  
+  {
+    EIGEN_INTERNAL_CHECK_COST_VALUE(functor_traits<BinaryOp>::Cost);
+    EIGEN_INTERNAL_CHECK_COST_VALUE(CoeffReadCost);
+  }
+
+  typedef typename XprType::CoeffReturnType CoeffReturnType;
+
+  EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE
+  CoeffReturnType coeff(Index row, Index col) const
+  {
+    return m_functor(m_lhsImpl.coeff(row, col), m_rhsImpl.coeff(row, col));
+  }
+
+  EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE
+  CoeffReturnType coeff(Index index) const
+  {
+    return m_functor(m_lhsImpl.coeff(index), m_rhsImpl.coeff(index));
+  }
+
+  template<int LoadMode, typename PacketType>
+  EIGEN_STRONG_INLINE
+  PacketType packet(Index row, Index col) const
+  {
+    return m_functor.packetOp(m_lhsImpl.template packet<LoadMode,PacketType>(row, col),
+                              m_rhsImpl.template packet<LoadMode,PacketType>(row, col));
+  }
+
+  template<int LoadMode, typename PacketType>
+  EIGEN_STRONG_INLINE
+  PacketType packet(Index index) const
+  {
+    return m_functor.packetOp(m_lhsImpl.template packet<LoadMode,PacketType>(index),
+                              m_rhsImpl.template packet<LoadMode,PacketType>(index));
+  }
+
+protected:
+  const BinaryOp m_functor;
+  evaluator<Lhs> m_lhsImpl;
+  evaluator<Rhs> m_rhsImpl;
+};
+
+// -------------------- CwiseUnaryView --------------------
+
+template<typename UnaryOp, typename ArgType>
+struct unary_evaluator<CwiseUnaryView<UnaryOp, ArgType>, IndexBased>
+  : evaluator_base<CwiseUnaryView<UnaryOp, ArgType> >
+{
+  typedef CwiseUnaryView<UnaryOp, ArgType> XprType;
+  
+  enum {
+    CoeffReadCost = evaluator<ArgType>::CoeffReadCost + functor_traits<UnaryOp>::Cost,
+    
+    Flags = (evaluator<ArgType>::Flags & (HereditaryBits | LinearAccessBit | DirectAccessBit)),
+    
+    Alignment = 0 // FIXME it is not very clear why alignment is necessarily lost...
+  };
+
+  EIGEN_DEVICE_FUNC explicit unary_evaluator(const XprType& op)
+    : m_unaryOp(op.functor()), 
+      m_argImpl(op.nestedExpression()) 
+  {
+    EIGEN_INTERNAL_CHECK_COST_VALUE(functor_traits<UnaryOp>::Cost);
+    EIGEN_INTERNAL_CHECK_COST_VALUE(CoeffReadCost);
+  }
+
+  typedef typename XprType::Scalar Scalar;
+  typedef typename XprType::CoeffReturnType CoeffReturnType;
+
+  EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE
+  CoeffReturnType coeff(Index row, Index col) const
+  {
+    return m_unaryOp(m_argImpl.coeff(row, col));
+  }
+
+  EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE
+  CoeffReturnType coeff(Index index) const
+  {
+    return m_unaryOp(m_argImpl.coeff(index));
+  }
+
+  EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE
+  Scalar& coeffRef(Index row, Index col)
+  {
+    return m_unaryOp(m_argImpl.coeffRef(row, col));
+  }
+
+  EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE
+  Scalar& coeffRef(Index index)
+  {
+    return m_unaryOp(m_argImpl.coeffRef(index));
+  }
+
+protected:
+  const UnaryOp m_unaryOp;
+  evaluator<ArgType> m_argImpl;
+};
+
+// -------------------- Map --------------------
+
+// FIXME perhaps the PlainObjectType could be provided by Derived::PlainObject ?
+// but that might complicate template specialization
+template<typename Derived, typename PlainObjectType>
+struct mapbase_evaluator;
+
+template<typename Derived, typename PlainObjectType>
+struct mapbase_evaluator : evaluator_base<Derived>
+{
+  typedef Derived  XprType;
+  typedef typename XprType::PointerType PointerType;
+  typedef typename XprType::Scalar Scalar;
+  typedef typename XprType::CoeffReturnType CoeffReturnType;
+  
+  enum {
+    IsRowMajor = XprType::RowsAtCompileTime,
+    ColsAtCompileTime = XprType::ColsAtCompileTime,
+    CoeffReadCost = NumTraits<Scalar>::ReadCost
+  };
+
+  EIGEN_DEVICE_FUNC explicit mapbase_evaluator(const XprType& map)
+    : m_data(const_cast<PointerType>(map.data())),
+      m_innerStride(map.innerStride()),
+      m_outerStride(map.outerStride())
+  {
+    EIGEN_STATIC_ASSERT(EIGEN_IMPLIES(evaluator<Derived>::Flags&PacketAccessBit, internal::inner_stride_at_compile_time<Derived>::ret==1),
+                        PACKET_ACCESS_REQUIRES_TO_HAVE_INNER_STRIDE_FIXED_TO_1);
+    EIGEN_INTERNAL_CHECK_COST_VALUE(CoeffReadCost);
+  }
+
+  EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE
+  CoeffReturnType coeff(Index row, Index col) const
+  {
+    return m_data[col * colStride() + row * rowStride()];
+  }
+
+  EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE
+  CoeffReturnType coeff(Index index) const
+  {
+    return m_data[index * m_innerStride.value()];
+  }
+
+  EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE
+  Scalar& coeffRef(Index row, Index col)
+  {
+    return m_data[col * colStride() + row * rowStride()];
+  }
+
+  EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE
+  Scalar& coeffRef(Index index)
+  {
+    return m_data[index * m_innerStride.value()];
+  }
+
+  template<int LoadMode, typename PacketType>
+  EIGEN_STRONG_INLINE
+  PacketType packet(Index row, Index col) const
+  {
+    PointerType ptr = m_data + row * rowStride() + col * colStride();
+    return internal::ploadt<PacketType, LoadMode>(ptr);
+  }
+
+  template<int LoadMode, typename PacketType>
+  EIGEN_STRONG_INLINE
+  PacketType packet(Index index) const
+  {
+    return internal::ploadt<PacketType, LoadMode>(m_data + index * m_innerStride.value());
+  }
+
+  template<int StoreMode, typename PacketType>
+  EIGEN_STRONG_INLINE
+  void writePacket(Index row, Index col, const PacketType& x)
+  {
+    PointerType ptr = m_data + row * rowStride() + col * colStride();
+    return internal::pstoret<Scalar, PacketType, StoreMode>(ptr, x);
+  }
+
+  template<int StoreMode, typename PacketType>
+  EIGEN_STRONG_INLINE
+  void writePacket(Index index, const PacketType& x)
+  {
+    internal::pstoret<Scalar, PacketType, StoreMode>(m_data + index * m_innerStride.value(), x);
+  }
+protected:
+  EIGEN_DEVICE_FUNC
+  inline Index rowStride() const { return XprType::IsRowMajor ? m_outerStride.value() : m_innerStride.value(); }
+  EIGEN_DEVICE_FUNC
+  inline Index colStride() const { return XprType::IsRowMajor ? m_innerStride.value() : m_outerStride.value(); }
+
+  PointerType m_data;
+  const internal::variable_if_dynamic<Index, XprType::InnerStrideAtCompileTime> m_innerStride;
+  const internal::variable_if_dynamic<Index, XprType::OuterStrideAtCompileTime> m_outerStride;
+};
+
+template<typename PlainObjectType, int MapOptions, typename StrideType> 
+struct evaluator<Map<PlainObjectType, MapOptions, StrideType> >
+  : public mapbase_evaluator<Map<PlainObjectType, MapOptions, StrideType>, PlainObjectType>
+{
+  typedef Map<PlainObjectType, MapOptions, StrideType> XprType;
+  typedef typename XprType::Scalar Scalar;
+  // TODO: should check for smaller packet types once we can handle multi-sized packet types
+  typedef typename packet_traits<Scalar>::type PacketScalar;
+  
+  enum {
+    InnerStrideAtCompileTime = StrideType::InnerStrideAtCompileTime == 0
+                             ? int(PlainObjectType::InnerStrideAtCompileTime)
+                             : int(StrideType::InnerStrideAtCompileTime),
+    OuterStrideAtCompileTime = StrideType::OuterStrideAtCompileTime == 0
+                             ? int(PlainObjectType::OuterStrideAtCompileTime)
+                             : int(StrideType::OuterStrideAtCompileTime),
+    HasNoInnerStride = InnerStrideAtCompileTime == 1,
+    HasNoOuterStride = StrideType::OuterStrideAtCompileTime == 0,
+    HasNoStride = HasNoInnerStride && HasNoOuterStride,
+    IsDynamicSize = PlainObjectType::SizeAtCompileTime==Dynamic,
+    
+    PacketAccessMask = bool(HasNoInnerStride) ? ~int(0) : ~int(PacketAccessBit),
+    LinearAccessMask = bool(HasNoStride) || bool(PlainObjectType::IsVectorAtCompileTime) ? ~int(0) : ~int(LinearAccessBit),
+    Flags = int( evaluator<PlainObjectType>::Flags) & (LinearAccessMask&PacketAccessMask),
+    
+    Alignment = int(MapOptions)&int(AlignedMask)
+  };
+
+  EIGEN_DEVICE_FUNC explicit evaluator(const XprType& map)
+    : mapbase_evaluator<XprType, PlainObjectType>(map) 
+  { }
+};
+
+// -------------------- Ref --------------------
+
+template<typename PlainObjectType, int RefOptions, typename StrideType> 
+struct evaluator<Ref<PlainObjectType, RefOptions, StrideType> >
+  : public mapbase_evaluator<Ref<PlainObjectType, RefOptions, StrideType>, PlainObjectType>
+{
+  typedef Ref<PlainObjectType, RefOptions, StrideType> XprType;
+  
+  enum {
+    Flags = evaluator<Map<PlainObjectType, RefOptions, StrideType> >::Flags,
+    Alignment = evaluator<Map<PlainObjectType, RefOptions, StrideType> >::Alignment
+  };
+
+  EIGEN_DEVICE_FUNC explicit evaluator(const XprType& ref)
+    : mapbase_evaluator<XprType, PlainObjectType>(ref) 
+  { }
+};
+
+// -------------------- Block --------------------
+
+template<typename ArgType, int BlockRows, int BlockCols, bool InnerPanel,
+         bool HasDirectAccess = internal::has_direct_access<ArgType>::ret> struct block_evaluator;
+         
+template<typename ArgType, int BlockRows, int BlockCols, bool InnerPanel> 
+struct evaluator<Block<ArgType, BlockRows, BlockCols, InnerPanel> >
+  : block_evaluator<ArgType, BlockRows, BlockCols, InnerPanel>
+{
+  typedef Block<ArgType, BlockRows, BlockCols, InnerPanel> XprType;
+  typedef typename XprType::Scalar Scalar;
+  // TODO: should check for smaller packet types once we can handle multi-sized packet types
+  typedef typename packet_traits<Scalar>::type PacketScalar;
+  
+  enum {
+    CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
+    
+    RowsAtCompileTime = traits<XprType>::RowsAtCompileTime,
+    ColsAtCompileTime = traits<XprType>::ColsAtCompileTime,
+    MaxRowsAtCompileTime = traits<XprType>::MaxRowsAtCompileTime,
+    MaxColsAtCompileTime = traits<XprType>::MaxColsAtCompileTime,
+    
+    ArgTypeIsRowMajor = (int(evaluator<ArgType>::Flags)&RowMajorBit) != 0,
+    IsRowMajor = (MaxRowsAtCompileTime==1 && MaxColsAtCompileTime!=1) ? 1
+               : (MaxColsAtCompileTime==1 && MaxRowsAtCompileTime!=1) ? 0
+               : ArgTypeIsRowMajor,
+    HasSameStorageOrderAsArgType = (IsRowMajor == ArgTypeIsRowMajor),
+    InnerSize = IsRowMajor ? int(ColsAtCompileTime) : int(RowsAtCompileTime),
+    InnerStrideAtCompileTime = HasSameStorageOrderAsArgType
+                             ? int(inner_stride_at_compile_time<ArgType>::ret)
+                             : int(outer_stride_at_compile_time<ArgType>::ret),
+    OuterStrideAtCompileTime = HasSameStorageOrderAsArgType
+                             ? int(outer_stride_at_compile_time<ArgType>::ret)
+                             : int(inner_stride_at_compile_time<ArgType>::ret),
+    MaskPacketAccessBit = (InnerStrideAtCompileTime == 1 || HasSameStorageOrderAsArgType) ? PacketAccessBit : 0,
+    
+    FlagsLinearAccessBit = (RowsAtCompileTime == 1 || ColsAtCompileTime == 1 || (InnerPanel && (evaluator<ArgType>::Flags&LinearAccessBit))) ? LinearAccessBit : 0,    
+    FlagsRowMajorBit = XprType::Flags&RowMajorBit,
+    Flags0 = evaluator<ArgType>::Flags & ( (HereditaryBits & ~RowMajorBit) |
+                                           DirectAccessBit |
+                                           MaskPacketAccessBit),
+    Flags = Flags0 | FlagsLinearAccessBit | FlagsRowMajorBit,
+    
+    PacketAlignment = unpacket_traits<PacketScalar>::alignment,
+    Alignment0 = (InnerPanel && (OuterStrideAtCompileTime!=Dynamic)
+                             && (OuterStrideAtCompileTime!=0)
+                             && (((OuterStrideAtCompileTime * int(sizeof(Scalar))) % int(PacketAlignment)) == 0)) ? int(PacketAlignment) : 0,
+    Alignment = EIGEN_PLAIN_ENUM_MIN(evaluator<ArgType>::Alignment, Alignment0)
+  };
+  typedef block_evaluator<ArgType, BlockRows, BlockCols, InnerPanel> block_evaluator_type;
+  EIGEN_DEVICE_FUNC explicit evaluator(const XprType& block) : block_evaluator_type(block)
+  {
+    EIGEN_INTERNAL_CHECK_COST_VALUE(CoeffReadCost);
+  }
+};
+
+// no direct-access => dispatch to a unary evaluator
+template<typename ArgType, int BlockRows, int BlockCols, bool InnerPanel>
+struct block_evaluator<ArgType, BlockRows, BlockCols, InnerPanel, /*HasDirectAccess*/ false>
+  : unary_evaluator<Block<ArgType, BlockRows, BlockCols, InnerPanel> >
+{
+  typedef Block<ArgType, BlockRows, BlockCols, InnerPanel> XprType;
+
+  EIGEN_DEVICE_FUNC explicit block_evaluator(const XprType& block)
+    : unary_evaluator<XprType>(block) 
+  {}
+};
+
+template<typename ArgType, int BlockRows, int BlockCols, bool InnerPanel>
+struct unary_evaluator<Block<ArgType, BlockRows, BlockCols, InnerPanel>, IndexBased>
+  : evaluator_base<Block<ArgType, BlockRows, BlockCols, InnerPanel> >
+{
+  typedef Block<ArgType, BlockRows, BlockCols, InnerPanel> XprType;
+
+  EIGEN_DEVICE_FUNC explicit unary_evaluator(const XprType& block)
+    : m_argImpl(block.nestedExpression()), 
+      m_startRow(block.startRow()), 
+      m_startCol(block.startCol()),
+      m_linear_offset(InnerPanel?(XprType::IsRowMajor ? block.startRow()*block.cols() : block.startCol()*block.rows()):0)
+  { }
+ 
+  typedef typename XprType::Scalar Scalar;
+  typedef typename XprType::CoeffReturnType CoeffReturnType;
+
+  enum {
+    RowsAtCompileTime = XprType::RowsAtCompileTime,
+    ForwardLinearAccess = InnerPanel && bool(evaluator<ArgType>::Flags&LinearAccessBit)
+  };
+ 
+  EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE
+  CoeffReturnType coeff(Index row, Index col) const
+  { 
+    return m_argImpl.coeff(m_startRow.value() + row, m_startCol.value() + col); 
+  }
+  
+  EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE
+  CoeffReturnType coeff(Index index) const
+  { 
+    if (ForwardLinearAccess)
+      return m_argImpl.coeff(m_linear_offset.value() + index); 
+    else
+      return coeff(RowsAtCompileTime == 1 ? 0 : index, RowsAtCompileTime == 1 ? index : 0);
+  }
+
+  EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE
+  Scalar& coeffRef(Index row, Index col)
+  { 
+    return m_argImpl.coeffRef(m_startRow.value() + row, m_startCol.value() + col); 
+  }
+  
+  EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE
+  Scalar& coeffRef(Index index)
+  { 
+    if (ForwardLinearAccess)
+      return m_argImpl.coeffRef(m_linear_offset.value() + index); 
+    else
+      return coeffRef(RowsAtCompileTime == 1 ? 0 : index, RowsAtCompileTime == 1 ? index : 0);
+  }
+ 
+  template<int LoadMode, typename PacketType>
+  EIGEN_STRONG_INLINE
+  PacketType packet(Index row, Index col) const 
+  { 
+    return m_argImpl.template packet<LoadMode,PacketType>(m_startRow.value() + row, m_startCol.value() + col); 
+  }
+
+  template<int LoadMode, typename PacketType>
+  EIGEN_STRONG_INLINE
+  PacketType packet(Index index) const 
+  { 
+    if (ForwardLinearAccess)
+      return m_argImpl.template packet<LoadMode,PacketType>(m_linear_offset.value() + index);
+    else
+      return packet<LoadMode,PacketType>(RowsAtCompileTime == 1 ? 0 : index,
+                                         RowsAtCompileTime == 1 ? index : 0);
+  }
+  
+  template<int StoreMode, typename PacketType>
+  EIGEN_STRONG_INLINE
+  void writePacket(Index row, Index col, const PacketType& x) 
+  {
+    return m_argImpl.template writePacket<StoreMode,PacketType>(m_startRow.value() + row, m_startCol.value() + col, x); 
+  }
+  
+  template<int StoreMode, typename PacketType>
+  EIGEN_STRONG_INLINE
+  void writePacket(Index index, const PacketType& x) 
+  {
+    if (ForwardLinearAccess)
+      return m_argImpl.template writePacket<StoreMode,PacketType>(m_linear_offset.value() + index, x);
+    else
+      return writePacket<StoreMode,PacketType>(RowsAtCompileTime == 1 ? 0 : index,
+                                              RowsAtCompileTime == 1 ? index : 0,
+                                              x);
+  }
+ 
+protected:
+  evaluator<ArgType> m_argImpl;
+  const variable_if_dynamic<Index, (ArgType::RowsAtCompileTime == 1 && BlockRows==1) ? 0 : Dynamic> m_startRow;
+  const variable_if_dynamic<Index, (ArgType::ColsAtCompileTime == 1 && BlockCols==1) ? 0 : Dynamic> m_startCol;
+  const variable_if_dynamic<Index, InnerPanel ? Dynamic : 0> m_linear_offset;
+};
+
+// TODO: This evaluator does not actually use the child evaluator; 
+// all action is via the data() as returned by the Block expression.
+
+template<typename ArgType, int BlockRows, int BlockCols, bool InnerPanel> 
+struct block_evaluator<ArgType, BlockRows, BlockCols, InnerPanel, /* HasDirectAccess */ true>
+  : mapbase_evaluator<Block<ArgType, BlockRows, BlockCols, InnerPanel>,
+                      typename Block<ArgType, BlockRows, BlockCols, InnerPanel>::PlainObject>
+{
+  typedef Block<ArgType, BlockRows, BlockCols, InnerPanel> XprType;
+  typedef typename XprType::Scalar Scalar;
+
+  EIGEN_DEVICE_FUNC explicit block_evaluator(const XprType& block)
+    : mapbase_evaluator<XprType, typename XprType::PlainObject>(block) 
+  {
+    // TODO: for the 3.3 release, this should be turned to an internal assertion, but let's keep it as is for the beta lifetime
+    eigen_assert(((internal::UIntPtr(block.data()) % EIGEN_PLAIN_ENUM_MAX(1,evaluator<XprType>::Alignment)) == 0) && "data is not aligned");
+  }
+};
+
+
+// -------------------- Select --------------------
+// NOTE shall we introduce a ternary_evaluator?
+
+// TODO enable vectorization for Select
+template<typename ConditionMatrixType, typename ThenMatrixType, typename ElseMatrixType>
+struct evaluator<Select<ConditionMatrixType, ThenMatrixType, ElseMatrixType> >
+  : evaluator_base<Select<ConditionMatrixType, ThenMatrixType, ElseMatrixType> >
+{
+  typedef Select<ConditionMatrixType, ThenMatrixType, ElseMatrixType> XprType;
+  enum {
+    CoeffReadCost = evaluator<ConditionMatrixType>::CoeffReadCost
+                  + EIGEN_PLAIN_ENUM_MAX(evaluator<ThenMatrixType>::CoeffReadCost,
+                                         evaluator<ElseMatrixType>::CoeffReadCost),
+
+    Flags = (unsigned int)evaluator<ThenMatrixType>::Flags & evaluator<ElseMatrixType>::Flags & HereditaryBits,
+    
+    Alignment = EIGEN_PLAIN_ENUM_MIN(evaluator<ThenMatrixType>::Alignment, evaluator<ElseMatrixType>::Alignment)
+  };
+
+  EIGEN_DEVICE_FUNC explicit evaluator(const XprType& select)
+    : m_conditionImpl(select.conditionMatrix()),
+      m_thenImpl(select.thenMatrix()),
+      m_elseImpl(select.elseMatrix())
+  {
+    EIGEN_INTERNAL_CHECK_COST_VALUE(CoeffReadCost);
+  }
+ 
+  typedef typename XprType::CoeffReturnType CoeffReturnType;
+
+  EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE
+  CoeffReturnType coeff(Index row, Index col) const
+  {
+    if (m_conditionImpl.coeff(row, col))
+      return m_thenImpl.coeff(row, col);
+    else
+      return m_elseImpl.coeff(row, col);
+  }
+
+  EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE
+  CoeffReturnType coeff(Index index) const
+  {
+    if (m_conditionImpl.coeff(index))
+      return m_thenImpl.coeff(index);
+    else
+      return m_elseImpl.coeff(index);
+  }
+ 
+protected:
+  evaluator<ConditionMatrixType> m_conditionImpl;
+  evaluator<ThenMatrixType> m_thenImpl;
+  evaluator<ElseMatrixType> m_elseImpl;
+};
+
+
+// -------------------- Replicate --------------------
+
+template<typename ArgType, int RowFactor, int ColFactor> 
+struct unary_evaluator<Replicate<ArgType, RowFactor, ColFactor> >
+  : evaluator_base<Replicate<ArgType, RowFactor, ColFactor> >
+{
+  typedef Replicate<ArgType, RowFactor, ColFactor> XprType;
+  typedef typename XprType::CoeffReturnType CoeffReturnType;
+  enum {
+    Factor = (RowFactor==Dynamic || ColFactor==Dynamic) ? Dynamic : RowFactor*ColFactor
+  };
+  typedef typename internal::nested_eval<ArgType,Factor>::type ArgTypeNested;
+  typedef typename internal::remove_all<ArgTypeNested>::type ArgTypeNestedCleaned;
+  
+  enum {
+    CoeffReadCost = evaluator<ArgTypeNestedCleaned>::CoeffReadCost,
+    LinearAccessMask = XprType::IsVectorAtCompileTime ? LinearAccessBit : 0,
+    Flags = (evaluator<ArgTypeNestedCleaned>::Flags & (HereditaryBits|LinearAccessMask) & ~RowMajorBit) | (traits<XprType>::Flags & RowMajorBit),
+    
+    Alignment = evaluator<ArgTypeNestedCleaned>::Alignment
+  };
+
+  EIGEN_DEVICE_FUNC explicit unary_evaluator(const XprType& replicate)
+    : m_arg(replicate.nestedExpression()),
+      m_argImpl(m_arg),
+      m_rows(replicate.nestedExpression().rows()),
+      m_cols(replicate.nestedExpression().cols())
+  {}
+ 
+  EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE
+  CoeffReturnType coeff(Index row, Index col) const
+  {
+    // try to avoid using modulo; this is a pure optimization strategy
+    const Index actual_row = internal::traits<XprType>::RowsAtCompileTime==1 ? 0
+                           : RowFactor==1 ? row
+                           : row % m_rows.value();
+    const Index actual_col = internal::traits<XprType>::ColsAtCompileTime==1 ? 0
+                           : ColFactor==1 ? col
+                           : col % m_cols.value();
+    
+    return m_argImpl.coeff(actual_row, actual_col);
+  }
+  
+  EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE
+  CoeffReturnType coeff(Index index) const
+  {
+    // try to avoid using modulo; this is a pure optimization strategy
+    const Index actual_index = internal::traits<XprType>::RowsAtCompileTime==1
+                                  ? (ColFactor==1 ?  index : index%m_cols.value())
+                                  : (RowFactor==1 ?  index : index%m_rows.value());
+    
+    return m_argImpl.coeff(actual_index);
+  }
+
+  template<int LoadMode, typename PacketType>
+  EIGEN_STRONG_INLINE
+  PacketType packet(Index row, Index col) const
+  {
+    const Index actual_row = internal::traits<XprType>::RowsAtCompileTime==1 ? 0
+                           : RowFactor==1 ? row
+                           : row % m_rows.value();
+    const Index actual_col = internal::traits<XprType>::ColsAtCompileTime==1 ? 0
+                           : ColFactor==1 ? col
+                           : col % m_cols.value();
+
+    return m_argImpl.template packet<LoadMode,PacketType>(actual_row, actual_col);
+  }
+  
+  template<int LoadMode, typename PacketType>
+  EIGEN_STRONG_INLINE
+  PacketType packet(Index index) const
+  {
+    const Index actual_index = internal::traits<XprType>::RowsAtCompileTime==1
+                                  ? (ColFactor==1 ?  index : index%m_cols.value())
+                                  : (RowFactor==1 ?  index : index%m_rows.value());
+
+    return m_argImpl.template packet<LoadMode,PacketType>(actual_index);
+  }
+ 
+protected:
+  const ArgTypeNested m_arg;
+  evaluator<ArgTypeNestedCleaned> m_argImpl;
+  const variable_if_dynamic<Index, ArgType::RowsAtCompileTime> m_rows;
+  const variable_if_dynamic<Index, ArgType::ColsAtCompileTime> m_cols;
+};
+
+
+// -------------------- PartialReduxExpr --------------------
+
+template< typename ArgType, typename MemberOp, int Direction>
+struct evaluator<PartialReduxExpr<ArgType, MemberOp, Direction> >
+  : evaluator_base<PartialReduxExpr<ArgType, MemberOp, Direction> >
+{
+  typedef PartialReduxExpr<ArgType, MemberOp, Direction> XprType;
+  typedef typename internal::nested_eval<ArgType,1>::type ArgTypeNested;
+  typedef typename internal::remove_all<ArgTypeNested>::type ArgTypeNestedCleaned;
+  typedef typename ArgType::Scalar InputScalar;
+  typedef typename XprType::Scalar Scalar;
+  enum {
+    TraversalSize = Direction==int(Vertical) ? int(ArgType::RowsAtCompileTime) :  int(ArgType::ColsAtCompileTime)
+  };
+  typedef typename MemberOp::template Cost<InputScalar,int(TraversalSize)> CostOpType;
+  enum {
+    CoeffReadCost = TraversalSize==Dynamic ? HugeCost
+                  : TraversalSize * evaluator<ArgType>::CoeffReadCost + int(CostOpType::value),
+    
+    Flags = (traits<XprType>::Flags&RowMajorBit) | (evaluator<ArgType>::Flags&(HereditaryBits&(~RowMajorBit))) | LinearAccessBit,
+    
+    Alignment = 0 // FIXME this will need to be improved once PartialReduxExpr is vectorized
+  };
+
+  EIGEN_DEVICE_FUNC explicit evaluator(const XprType xpr)
+    : m_arg(xpr.nestedExpression()), m_functor(xpr.functor())
+  {
+    EIGEN_INTERNAL_CHECK_COST_VALUE(TraversalSize==Dynamic ? HugeCost : int(CostOpType::value));
+    EIGEN_INTERNAL_CHECK_COST_VALUE(CoeffReadCost);
+  }
+
+  typedef typename XprType::CoeffReturnType CoeffReturnType;
+
+  EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE
+  const Scalar coeff(Index i, Index j) const
+  {
+    if (Direction==Vertical)
+      return m_functor(m_arg.col(j));
+    else
+      return m_functor(m_arg.row(i));
+  }
+
+  EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE
+  const Scalar coeff(Index index) const
+  {
+    if (Direction==Vertical)
+      return m_functor(m_arg.col(index));
+    else
+      return m_functor(m_arg.row(index));
+  }
+
+protected:
+  typename internal::add_const_on_value_type<ArgTypeNested>::type m_arg;
+  const MemberOp m_functor;
+};
+
+
+// -------------------- MatrixWrapper and ArrayWrapper --------------------
+//
+// evaluator_wrapper_base<T> is a common base class for the
+// MatrixWrapper and ArrayWrapper evaluators.
+
+template<typename XprType>
+struct evaluator_wrapper_base
+  : evaluator_base<XprType>
+{
+  typedef typename remove_all<typename XprType::NestedExpressionType>::type ArgType;
+  enum {
+    CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
+    Flags = evaluator<ArgType>::Flags,
+    Alignment = evaluator<ArgType>::Alignment
+  };
+
+  EIGEN_DEVICE_FUNC explicit evaluator_wrapper_base(const ArgType& arg) : m_argImpl(arg) {}
+
+  typedef typename ArgType::Scalar Scalar;
+  typedef typename ArgType::CoeffReturnType CoeffReturnType;
+
+  EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE
+  CoeffReturnType coeff(Index row, Index col) const
+  {
+    return m_argImpl.coeff(row, col);
+  }
+
+  EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE
+  CoeffReturnType coeff(Index index) const
+  {
+    return m_argImpl.coeff(index);
+  }
+
+  EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE
+  Scalar& coeffRef(Index row, Index col)
+  {
+    return m_argImpl.coeffRef(row, col);
+  }
+
+  EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE
+  Scalar& coeffRef(Index index)
+  {
+    return m_argImpl.coeffRef(index);
+  }
+
+  template<int LoadMode, typename PacketType>
+  EIGEN_STRONG_INLINE
+  PacketType packet(Index row, Index col) const
+  {
+    return m_argImpl.template packet<LoadMode,PacketType>(row, col);
+  }
+
+  template<int LoadMode, typename PacketType>
+  EIGEN_STRONG_INLINE
+  PacketType packet(Index index) const
+  {
+    return m_argImpl.template packet<LoadMode,PacketType>(index);
+  }
+
+  template<int StoreMode, typename PacketType>
+  EIGEN_STRONG_INLINE
+  void writePacket(Index row, Index col, const PacketType& x)
+  {
+    m_argImpl.template writePacket<StoreMode>(row, col, x);
+  }
+
+  template<int StoreMode, typename PacketType>
+  EIGEN_STRONG_INLINE
+  void writePacket(Index index, const PacketType& x)
+  {
+    m_argImpl.template writePacket<StoreMode>(index, x);
+  }
+
+protected:
+  evaluator<ArgType> m_argImpl;
+};
+
+template<typename TArgType>
+struct unary_evaluator<MatrixWrapper<TArgType> >
+  : evaluator_wrapper_base<MatrixWrapper<TArgType> >
+{
+  typedef MatrixWrapper<TArgType> XprType;
+
+  EIGEN_DEVICE_FUNC explicit unary_evaluator(const XprType& wrapper)
+    : evaluator_wrapper_base<MatrixWrapper<TArgType> >(wrapper.nestedExpression())
+  { }
+};
+
+template<typename TArgType>
+struct unary_evaluator<ArrayWrapper<TArgType> >
+  : evaluator_wrapper_base<ArrayWrapper<TArgType> >
+{
+  typedef ArrayWrapper<TArgType> XprType;
+
+  EIGEN_DEVICE_FUNC explicit unary_evaluator(const XprType& wrapper)
+    : evaluator_wrapper_base<ArrayWrapper<TArgType> >(wrapper.nestedExpression())
+  { }
+};
+
+
+// -------------------- Reverse --------------------
+
+// defined in Reverse.h:
+template<typename PacketType, bool ReversePacket> struct reverse_packet_cond;
+
+template<typename ArgType, int Direction>
+struct unary_evaluator<Reverse<ArgType, Direction> >
+  : evaluator_base<Reverse<ArgType, Direction> >
+{
+  typedef Reverse<ArgType, Direction> XprType;
+  typedef typename XprType::Scalar Scalar;
+  typedef typename XprType::CoeffReturnType CoeffReturnType;
+
+  enum {
+    IsRowMajor = XprType::IsRowMajor,
+    IsColMajor = !IsRowMajor,
+    ReverseRow = (Direction == Vertical)   || (Direction == BothDirections),
+    ReverseCol = (Direction == Horizontal) || (Direction == BothDirections),
+    ReversePacket = (Direction == BothDirections)
+                    || ((Direction == Vertical)   && IsColMajor)
+                    || ((Direction == Horizontal) && IsRowMajor),
+                    
+    CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
+    
+    // let's enable LinearAccess only with vectorization because of the product overhead
+    // FIXME enable DirectAccess with negative strides?
+    Flags0 = evaluator<ArgType>::Flags,
+    LinearAccess = ( (Direction==BothDirections) && (int(Flags0)&PacketAccessBit) )
+                  || ((ReverseRow && XprType::ColsAtCompileTime==1) || (ReverseCol && XprType::RowsAtCompileTime==1))
+                 ? LinearAccessBit : 0,
+
+    Flags = int(Flags0) & (HereditaryBits | PacketAccessBit | LinearAccess),
+    
+    Alignment = 0 // FIXME in some rare cases, Alignment could be preserved, like a Vector4f.
+  };
+
+  EIGEN_DEVICE_FUNC explicit unary_evaluator(const XprType& reverse)
+    : m_argImpl(reverse.nestedExpression()),
+      m_rows(ReverseRow ? reverse.nestedExpression().rows() : 1),
+      m_cols(ReverseCol ? reverse.nestedExpression().cols() : 1)
+  { }
+ 
+  EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE
+  CoeffReturnType coeff(Index row, Index col) const
+  {
+    return m_argImpl.coeff(ReverseRow ? m_rows.value() - row - 1 : row,
+                           ReverseCol ? m_cols.value() - col - 1 : col);
+  }
+
+  EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE
+  CoeffReturnType coeff(Index index) const
+  {
+    return m_argImpl.coeff(m_rows.value() * m_cols.value() - index - 1);
+  }
+
+  EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE
+  Scalar& coeffRef(Index row, Index col)
+  {
+    return m_argImpl.coeffRef(ReverseRow ? m_rows.value() - row - 1 : row,
+                              ReverseCol ? m_cols.value() - col - 1 : col);
+  }
+
+  EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE
+  Scalar& coeffRef(Index index)
+  {
+    return m_argImpl.coeffRef(m_rows.value() * m_cols.value() - index - 1);
+  }
+
+  template<int LoadMode, typename PacketType>
+  EIGEN_STRONG_INLINE
+  PacketType packet(Index row, Index col) const
+  {
+    enum {
+      PacketSize = unpacket_traits<PacketType>::size,
+      OffsetRow  = ReverseRow && IsColMajor ? PacketSize : 1,
+      OffsetCol  = ReverseCol && IsRowMajor ? PacketSize : 1
+    };
+    typedef internal::reverse_packet_cond<PacketType,ReversePacket> reverse_packet;
+    return reverse_packet::run(m_argImpl.template packet<LoadMode,PacketType>(
+                                  ReverseRow ? m_rows.value() - row - OffsetRow : row,
+                                  ReverseCol ? m_cols.value() - col - OffsetCol : col));
+  }
+
+  template<int LoadMode, typename PacketType>
+  EIGEN_STRONG_INLINE
+  PacketType packet(Index index) const
+  {
+    enum { PacketSize = unpacket_traits<PacketType>::size };
+    return preverse(m_argImpl.template packet<LoadMode,PacketType>(m_rows.value() * m_cols.value() - index - PacketSize));
+  }
+
+  template<int LoadMode, typename PacketType>
+  EIGEN_STRONG_INLINE
+  void writePacket(Index row, Index col, const PacketType& x)
+  {
+    // FIXME we could factorize some code with packet(i,j)
+    enum {
+      PacketSize = unpacket_traits<PacketType>::size,
+      OffsetRow  = ReverseRow && IsColMajor ? PacketSize : 1,
+      OffsetCol  = ReverseCol && IsRowMajor ? PacketSize : 1
+    };
+    typedef internal::reverse_packet_cond<PacketType,ReversePacket> reverse_packet;
+    m_argImpl.template writePacket<LoadMode>(
+                                  ReverseRow ? m_rows.value() - row - OffsetRow : row,
+                                  ReverseCol ? m_cols.value() - col - OffsetCol : col,
+                                  reverse_packet::run(x));
+  }
+
+  template<int LoadMode, typename PacketType>
+  EIGEN_STRONG_INLINE
+  void writePacket(Index index, const PacketType& x)
+  {
+    enum { PacketSize = unpacket_traits<PacketType>::size };
+    m_argImpl.template writePacket<LoadMode>
+      (m_rows.value() * m_cols.value() - index - PacketSize, preverse(x));
+  }
+ 
+protected:
+  evaluator<ArgType> m_argImpl;
+
+  // If we do not reverse rows, then we do not need to know the number of rows; same for columns
+  // Nonetheless, in this case it is important to set to 1 such that the coeff(index) method works fine for vectors.
+  const variable_if_dynamic<Index, ReverseRow ? ArgType::RowsAtCompileTime : 1> m_rows;
+  const variable_if_dynamic<Index, ReverseCol ? ArgType::ColsAtCompileTime : 1> m_cols;
+};
+
+
+// -------------------- Diagonal --------------------
+
+template<typename ArgType, int DiagIndex>
+struct evaluator<Diagonal<ArgType, DiagIndex> >
+  : evaluator_base<Diagonal<ArgType, DiagIndex> >
+{
+  typedef Diagonal<ArgType, DiagIndex> XprType;
+  
+  enum {
+    CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
+    
+    Flags = (unsigned int)(evaluator<ArgType>::Flags & (HereditaryBits | DirectAccessBit) & ~RowMajorBit) | LinearAccessBit,
+    
+    Alignment = 0
+  };
+
+  EIGEN_DEVICE_FUNC explicit evaluator(const XprType& diagonal)
+    : m_argImpl(diagonal.nestedExpression()),
+      m_index(diagonal.index())
+  { }
+ 
+  typedef typename XprType::Scalar Scalar;
+  typedef typename XprType::CoeffReturnType CoeffReturnType;
+
+  EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE
+  CoeffReturnType coeff(Index row, Index) const
+  {
+    return m_argImpl.coeff(row + rowOffset(), row + colOffset());
+  }
+
+  EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE
+  CoeffReturnType coeff(Index index) const
+  {
+    return m_argImpl.coeff(index + rowOffset(), index + colOffset());
+  }
+
+  EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE
+  Scalar& coeffRef(Index row, Index)
+  {
+    return m_argImpl.coeffRef(row + rowOffset(), row + colOffset());
+  }
+
+  EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE
+  Scalar& coeffRef(Index index)
+  {
+    return m_argImpl.coeffRef(index + rowOffset(), index + colOffset());
+  }
+
+protected:
+  evaluator<ArgType> m_argImpl;
+  const internal::variable_if_dynamicindex<Index, XprType::DiagIndex> m_index;
+
+private:
+  EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE Index rowOffset() const { return m_index.value() > 0 ? 0 : -m_index.value(); }
+  EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE Index colOffset() const { return m_index.value() > 0 ? m_index.value() : 0; }
+};
+
+
+//----------------------------------------------------------------------
+// deprecated code
+//----------------------------------------------------------------------
+
+// -------------------- EvalToTemp --------------------
+
+// expression class for evaluating nested expression to a temporary
+
+template<typename ArgType> class EvalToTemp;
+
+template<typename ArgType>
+struct traits<EvalToTemp<ArgType> >
+  : public traits<ArgType>
+{ };
+
+template<typename ArgType>
+class EvalToTemp
+  : public dense_xpr_base<EvalToTemp<ArgType> >::type
+{
+ public:
+ 
+  typedef typename dense_xpr_base<EvalToTemp>::type Base;
+  EIGEN_GENERIC_PUBLIC_INTERFACE(EvalToTemp)
+ 
+  explicit EvalToTemp(const ArgType& arg)
+    : m_arg(arg)
+  { }
+ 
+  const ArgType& arg() const
+  {
+    return m_arg;
+  }
+
+  Index rows() const 
+  {
+    return m_arg.rows();
+  }
+
+  Index cols() const 
+  {
+    return m_arg.cols();
+  }
+
+ private:
+  const ArgType& m_arg;
+};
+ 
+template<typename ArgType>
+struct evaluator<EvalToTemp<ArgType> >
+  : public evaluator<typename ArgType::PlainObject>
+{
+  typedef EvalToTemp<ArgType>                   XprType;
+  typedef typename ArgType::PlainObject         PlainObject;
+  typedef evaluator<PlainObject> Base;
+  
+  EIGEN_DEVICE_FUNC explicit evaluator(const XprType& xpr)
+    : m_result(xpr.arg())
+  {
+    ::new (static_cast<Base*>(this)) Base(m_result);
+  }
+
+  // This constructor is used when nesting an EvalTo evaluator in another evaluator
+  EIGEN_DEVICE_FUNC evaluator(const ArgType& arg)
+    : m_result(arg)
+  {
+    ::new (static_cast<Base*>(this)) Base(m_result);
+  }
+
+protected:
+  PlainObject m_result;
+};
+
+} // namespace internal
+
+} // end namespace Eigen
+
+#endif // EIGEN_COREEVALUATORS_H
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/NestByValue.h
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/NestByValue.h	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/NestByValue.h	(revision 3761)
@@ -0,0 +1,110 @@
+// This file is part of Eigen, a lightweight C++ template library
+// for linear algebra.
+//
+// Copyright (C) 2008 Gael Guennebaud <gael.guennebaud@inria.fr>
+// Copyright (C) 2006-2008 Benoit Jacob <jacob.benoit.1@gmail.com>
+//
+// This Source Code Form is subject to the terms of the Mozilla
+// Public License v. 2.0. If a copy of the MPL was not distributed
+// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
+
+#ifndef EIGEN_NESTBYVALUE_H
+#define EIGEN_NESTBYVALUE_H
+
+namespace Eigen {
+
+namespace internal {
+template<typename ExpressionType>
+struct traits<NestByValue<ExpressionType> > : public traits<ExpressionType>
+{};
+}
+
+/** \class NestByValue
+  * \ingroup Core_Module
+  *
+  * \brief Expression which must be nested by value
+  *
+  * \tparam ExpressionType the type of the object of which we are requiring nesting-by-value
+  *
+  * This class is the return type of MatrixBase::nestByValue()
+  * and most of the time this is the only way it is used.
+  *
+  * \sa MatrixBase::nestByValue()
+  */
+template<typename ExpressionType> class NestByValue
+  : public internal::dense_xpr_base< NestByValue<ExpressionType> >::type
+{
+  public:
+
+    typedef typename internal::dense_xpr_base<NestByValue>::type Base;
+    EIGEN_DENSE_PUBLIC_INTERFACE(NestByValue)
+
+    EIGEN_DEVICE_FUNC explicit inline NestByValue(const ExpressionType& matrix) : m_expression(matrix) {}
+
+    EIGEN_DEVICE_FUNC inline Index rows() const { return m_expression.rows(); }
+    EIGEN_DEVICE_FUNC inline Index cols() const { return m_expression.cols(); }
+    EIGEN_DEVICE_FUNC inline Index outerStride() const { return m_expression.outerStride(); }
+    EIGEN_DEVICE_FUNC inline Index innerStride() const { return m_expression.innerStride(); }
+
+    EIGEN_DEVICE_FUNC inline const CoeffReturnType coeff(Index row, Index col) const
+    {
+      return m_expression.coeff(row, col);
+    }
+
+    EIGEN_DEVICE_FUNC inline Scalar& coeffRef(Index row, Index col)
+    {
+      return m_expression.const_cast_derived().coeffRef(row, col);
+    }
+
+    EIGEN_DEVICE_FUNC inline const CoeffReturnType coeff(Index index) const
+    {
+      return m_expression.coeff(index);
+    }
+
+    EIGEN_DEVICE_FUNC inline Scalar& coeffRef(Index index)
+    {
+      return m_expression.const_cast_derived().coeffRef(index);
+    }
+
+    template<int LoadMode>
+    inline const PacketScalar packet(Index row, Index col) const
+    {
+      return m_expression.template packet<LoadMode>(row, col);
+    }
+
+    template<int LoadMode>
+    inline void writePacket(Index row, Index col, const PacketScalar& x)
+    {
+      m_expression.const_cast_derived().template writePacket<LoadMode>(row, col, x);
+    }
+
+    template<int LoadMode>
+    inline const PacketScalar packet(Index index) const
+    {
+      return m_expression.template packet<LoadMode>(index);
+    }
+
+    template<int LoadMode>
+    inline void writePacket(Index index, const PacketScalar& x)
+    {
+      m_expression.const_cast_derived().template writePacket<LoadMode>(index, x);
+    }
+
+    EIGEN_DEVICE_FUNC operator const ExpressionType&() const { return m_expression; }
+
+  protected:
+    const ExpressionType m_expression;
+};
+
+/** \returns an expression of the temporary version of *this.
+  */
+template<typename Derived>
+inline const NestByValue<Derived>
+DenseBase<Derived>::nestByValue() const
+{
+  return NestByValue<Derived>(derived());
+}
+
+} // end namespace Eigen
+
+#endif // EIGEN_NESTBYVALUE_H
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/ForceAlignedAccess.h
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/ForceAlignedAccess.h	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/ForceAlignedAccess.h	(revision 3761)
@@ -0,0 +1,146 @@
+// This file is part of Eigen, a lightweight C++ template library
+// for linear algebra.
+//
+// Copyright (C) 2009-2010 Gael Guennebaud <gael.guennebaud@inria.fr>
+//
+// This Source Code Form is subject to the terms of the Mozilla
+// Public License v. 2.0. If a copy of the MPL was not distributed
+// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
+
+#ifndef EIGEN_FORCEALIGNEDACCESS_H
+#define EIGEN_FORCEALIGNEDACCESS_H
+
+namespace Eigen {
+
+/** \class ForceAlignedAccess
+  * \ingroup Core_Module
+  *
+  * \brief Enforce aligned packet loads and stores regardless of what is requested
+  *
+  * \param ExpressionType the type of the object of which we are forcing aligned packet access
+  *
+  * This class is the return type of MatrixBase::forceAlignedAccess()
+  * and most of the time this is the only way it is used.
+  *
+  * \sa MatrixBase::forceAlignedAccess()
+  */
+
+namespace internal {
+template<typename ExpressionType>
+struct traits<ForceAlignedAccess<ExpressionType> > : public traits<ExpressionType>
+{};
+}
+
+template<typename ExpressionType> class ForceAlignedAccess
+  : public internal::dense_xpr_base< ForceAlignedAccess<ExpressionType> >::type
+{
+  public:
+
+    typedef typename internal::dense_xpr_base<ForceAlignedAccess>::type Base;
+    EIGEN_DENSE_PUBLIC_INTERFACE(ForceAlignedAccess)
+
+    EIGEN_DEVICE_FUNC explicit inline ForceAlignedAccess(const ExpressionType& matrix) : m_expression(matrix) {}
+
+    EIGEN_DEVICE_FUNC inline Index rows() const { return m_expression.rows(); }
+    EIGEN_DEVICE_FUNC inline Index cols() const { return m_expression.cols(); }
+    EIGEN_DEVICE_FUNC inline Index outerStride() const { return m_expression.outerStride(); }
+    EIGEN_DEVICE_FUNC inline Index innerStride() const { return m_expression.innerStride(); }
+
+    EIGEN_DEVICE_FUNC inline const CoeffReturnType coeff(Index row, Index col) const
+    {
+      return m_expression.coeff(row, col);
+    }
+
+    EIGEN_DEVICE_FUNC inline Scalar& coeffRef(Index row, Index col)
+    {
+      return m_expression.const_cast_derived().coeffRef(row, col);
+    }
+
+    EIGEN_DEVICE_FUNC inline const CoeffReturnType coeff(Index index) const
+    {
+      return m_expression.coeff(index);
+    }
+
+    EIGEN_DEVICE_FUNC inline Scalar& coeffRef(Index index)
+    {
+      return m_expression.const_cast_derived().coeffRef(index);
+    }
+
+    template<int LoadMode>
+    inline const PacketScalar packet(Index row, Index col) const
+    {
+      return m_expression.template packet<Aligned>(row, col);
+    }
+
+    template<int LoadMode>
+    inline void writePacket(Index row, Index col, const PacketScalar& x)
+    {
+      m_expression.const_cast_derived().template writePacket<Aligned>(row, col, x);
+    }
+
+    template<int LoadMode>
+    inline const PacketScalar packet(Index index) const
+    {
+      return m_expression.template packet<Aligned>(index);
+    }
+
+    template<int LoadMode>
+    inline void writePacket(Index index, const PacketScalar& x)
+    {
+      m_expression.const_cast_derived().template writePacket<Aligned>(index, x);
+    }
+
+    EIGEN_DEVICE_FUNC operator const ExpressionType&() const { return m_expression; }
+
+  protected:
+    const ExpressionType& m_expression;
+
+  private:
+    ForceAlignedAccess& operator=(const ForceAlignedAccess&);
+};
+
+/** \returns an expression of *this with forced aligned access
+  * \sa forceAlignedAccessIf(),class ForceAlignedAccess
+  */
+template<typename Derived>
+inline const ForceAlignedAccess<Derived>
+MatrixBase<Derived>::forceAlignedAccess() const
+{
+  return ForceAlignedAccess<Derived>(derived());
+}
+
+/** \returns an expression of *this with forced aligned access
+  * \sa forceAlignedAccessIf(), class ForceAlignedAccess
+  */
+template<typename Derived>
+inline ForceAlignedAccess<Derived>
+MatrixBase<Derived>::forceAlignedAccess()
+{
+  return ForceAlignedAccess<Derived>(derived());
+}
+
+/** \returns an expression of *this with forced aligned access if \a Enable is true.
+  * \sa forceAlignedAccess(), class ForceAlignedAccess
+  */
+template<typename Derived>
+template<bool Enable>
+inline typename internal::add_const_on_value_type<typename internal::conditional<Enable,ForceAlignedAccess<Derived>,Derived&>::type>::type
+MatrixBase<Derived>::forceAlignedAccessIf() const
+{
+  return derived();  // FIXME This should not work but apparently is never used
+}
+
+/** \returns an expression of *this with forced aligned access if \a Enable is true.
+  * \sa forceAlignedAccess(), class ForceAlignedAccess
+  */
+template<typename Derived>
+template<bool Enable>
+inline typename internal::conditional<Enable,ForceAlignedAccess<Derived>,Derived&>::type
+MatrixBase<Derived>::forceAlignedAccessIf()
+{
+  return derived();  // FIXME This should not work but apparently is never used
+}
+
+} // end namespace Eigen
+
+#endif // EIGEN_FORCEALIGNEDACCESS_H
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/Matrix.h
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/Matrix.h	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/Matrix.h	(revision 3761)
@@ -0,0 +1,459 @@
+// This file is part of Eigen, a lightweight C++ template library
+// for linear algebra.
+//
+// Copyright (C) 2006-2010 Benoit Jacob <jacob.benoit.1@gmail.com>
+// Copyright (C) 2008-2009 Gael Guennebaud <gael.guennebaud@inria.fr>
+//
+// This Source Code Form is subject to the terms of the Mozilla
+// Public License v. 2.0. If a copy of the MPL was not distributed
+// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
+
+#ifndef EIGEN_MATRIX_H
+#define EIGEN_MATRIX_H
+
+namespace Eigen {
+
+namespace internal {
+template<typename _Scalar, int _Rows, int _Cols, int _Options, int _MaxRows, int _MaxCols>
+struct traits<Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> >
+{
+private:
+  enum { size = internal::size_at_compile_time<_Rows,_Cols>::ret };
+  typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
+  enum {
+      row_major_bit = _Options&RowMajor ? RowMajorBit : 0,
+      is_dynamic_size_storage = _MaxRows==Dynamic || _MaxCols==Dynamic,
+      max_size = is_dynamic_size_storage ? Dynamic : _MaxRows*_MaxCols,
+      default_alignment = compute_default_alignment<_Scalar,max_size>::value,
+      actual_alignment = ((_Options&DontAlign)==0) ? default_alignment : 0,
+      required_alignment = unpacket_traits<PacketScalar>::alignment,
+      packet_access_bit = (packet_traits<_Scalar>::Vectorizable && (EIGEN_UNALIGNED_VECTORIZE || (actual_alignment>=required_alignment))) ? PacketAccessBit : 0
+    };
+    
+public:
+  typedef _Scalar Scalar;
+  typedef Dense StorageKind;
+  typedef Eigen::Index StorageIndex;
+  typedef MatrixXpr XprKind;
+  enum {
+    RowsAtCompileTime = _Rows,
+    ColsAtCompileTime = _Cols,
+    MaxRowsAtCompileTime = _MaxRows,
+    MaxColsAtCompileTime = _MaxCols,
+    Flags = compute_matrix_flags<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::ret,
+    Options = _Options,
+    InnerStrideAtCompileTime = 1,
+    OuterStrideAtCompileTime = (Options&RowMajor) ? ColsAtCompileTime : RowsAtCompileTime,
+    
+    // FIXME, the following flag in only used to define NeedsToAlign in PlainObjectBase
+    EvaluatorFlags = LinearAccessBit | DirectAccessBit | packet_access_bit | row_major_bit,
+    Alignment = actual_alignment
+  };
+};
+}
+
+/** \class Matrix
+  * \ingroup Core_Module
+  *
+  * \brief The matrix class, also used for vectors and row-vectors
+  *
+  * The %Matrix class is the work-horse for all \em dense (\ref dense "note") matrices and vectors within Eigen.
+  * Vectors are matrices with one column, and row-vectors are matrices with one row.
+  *
+  * The %Matrix class encompasses \em both fixed-size and dynamic-size objects (\ref fixedsize "note").
+  *
+  * The first three template parameters are required:
+  * \tparam _Scalar Numeric type, e.g. float, double, int or std::complex<float>.
+  *                 User defined scalar types are supported as well (see \ref user_defined_scalars "here").
+  * \tparam _Rows Number of rows, or \b Dynamic
+  * \tparam _Cols Number of columns, or \b Dynamic
+  *
+  * The remaining template parameters are optional -- in most cases you don't have to worry about them.
+  * \tparam _Options A combination of either \b #RowMajor or \b #ColMajor, and of either
+  *                 \b #AutoAlign or \b #DontAlign.
+  *                 The former controls \ref TopicStorageOrders "storage order", and defaults to column-major. The latter controls alignment, which is required
+  *                 for vectorization. It defaults to aligning matrices except for fixed sizes that aren't a multiple of the packet size.
+  * \tparam _MaxRows Maximum number of rows. Defaults to \a _Rows (\ref maxrows "note").
+  * \tparam _MaxCols Maximum number of columns. Defaults to \a _Cols (\ref maxrows "note").
+  *
+  * Eigen provides a number of typedefs covering the usual cases. Here are some examples:
+  *
+  * \li \c Matrix2d is a 2x2 square matrix of doubles (\c Matrix<double, 2, 2>)
+  * \li \c Vector4f is a vector of 4 floats (\c Matrix<float, 4, 1>)
+  * \li \c RowVector3i is a row-vector of 3 ints (\c Matrix<int, 1, 3>)
+  *
+  * \li \c MatrixXf is a dynamic-size matrix of floats (\c Matrix<float, Dynamic, Dynamic>)
+  * \li \c VectorXf is a dynamic-size vector of floats (\c Matrix<float, Dynamic, 1>)
+  *
+  * \li \c Matrix2Xf is a partially fixed-size (dynamic-size) matrix of floats (\c Matrix<float, 2, Dynamic>)
+  * \li \c MatrixX3d is a partially dynamic-size (fixed-size) matrix of double (\c Matrix<double, Dynamic, 3>)
+  *
+  * See \link matrixtypedefs this page \endlink for a complete list of predefined \em %Matrix and \em Vector typedefs.
+  *
+  * You can access elements of vectors and matrices using normal subscripting:
+  *
+  * \code
+  * Eigen::VectorXd v(10);
+  * v[0] = 0.1;
+  * v[1] = 0.2;
+  * v(0) = 0.3;
+  * v(1) = 0.4;
+  *
+  * Eigen::MatrixXi m(10, 10);
+  * m(0, 1) = 1;
+  * m(0, 2) = 2;
+  * m(0, 3) = 3;
+  * \endcode
+  *
+  * This class can be extended with the help of the plugin mechanism described on the page
+  * \ref TopicCustomizing_Plugins by defining the preprocessor symbol \c EIGEN_MATRIX_PLUGIN.
+  *
+  * <i><b>Some notes:</b></i>
+  *
+  * <dl>
+  * <dt><b>\anchor dense Dense versus sparse:</b></dt>
+  * <dd>This %Matrix class handles dense, not sparse matrices and vectors. For sparse matrices and vectors, see the Sparse module.
+  *
+  * Dense matrices and vectors are plain usual arrays of coefficients. All the coefficients are stored, in an ordinary contiguous array.
+  * This is unlike Sparse matrices and vectors where the coefficients are stored as a list of nonzero coefficients.</dd>
+  *
+  * <dt><b>\anchor fixedsize Fixed-size versus dynamic-size:</b></dt>
+  * <dd>Fixed-size means that the numbers of rows and columns are known are compile-time. In this case, Eigen allocates the array
+  * of coefficients as a fixed-size array, as a class member. This makes sense for very small matrices, typically up to 4x4, sometimes up
+  * to 16x16. Larger matrices should be declared as dynamic-size even if one happens to know their size at compile-time.
+  *
+  * Dynamic-size means that the numbers of rows or columns are not necessarily known at compile-time. In this case they are runtime
+  * variables, and the array of coefficients is allocated dynamically on the heap.
+  *
+  * Note that \em dense matrices, be they Fixed-size or Dynamic-size, <em>do not</em> expand dynamically in the sense of a std::map.
+  * If you want this behavior, see the Sparse module.</dd>
+  *
+  * <dt><b>\anchor maxrows _MaxRows and _MaxCols:</b></dt>
+  * <dd>In most cases, one just leaves these parameters to the default values.
+  * These parameters mean the maximum size of rows and columns that the matrix may have. They are useful in cases
+  * when the exact numbers of rows and columns are not known are compile-time, but it is known at compile-time that they cannot
+  * exceed a certain value. This happens when taking dynamic-size blocks inside fixed-size matrices: in this case _MaxRows and _MaxCols
+  * are the dimensions of the original matrix, while _Rows and _Cols are Dynamic.</dd>
+  * </dl>
+  *
+  * <i><b>ABI and storage layout</b></i>
+  *
+  * The table below summarizes the ABI of some possible Matrix instances which is fixed thorough the lifetime of Eigen 3.
+  * <table  class="manual">
+  * <tr><th>Matrix type</th><th>Equivalent C structure</th></tr>
+  * <tr><td>\code Matrix<T,Dynamic,Dynamic> \endcode</td><td>\code
+  * struct {
+  *   T *data;                  // with (size_t(data)%EIGEN_MAX_ALIGN_BYTES)==0
+  *   Eigen::Index rows, cols;
+  *  };
+  * \endcode</td></tr>
+  * <tr class="alt"><td>\code
+  * Matrix<T,Dynamic,1>
+  * Matrix<T,1,Dynamic> \endcode</td><td>\code
+  * struct {
+  *   T *data;                  // with (size_t(data)%EIGEN_MAX_ALIGN_BYTES)==0
+  *   Eigen::Index size;
+  *  };
+  * \endcode</td></tr>
+  * <tr><td>\code Matrix<T,Rows,Cols> \endcode</td><td>\code
+  * struct {
+  *   T data[Rows*Cols];        // with (size_t(data)%A(Rows*Cols*sizeof(T)))==0
+  *  };
+  * \endcode</td></tr>
+  * <tr class="alt"><td>\code Matrix<T,Dynamic,Dynamic,0,MaxRows,MaxCols> \endcode</td><td>\code
+  * struct {
+  *   T data[MaxRows*MaxCols];  // with (size_t(data)%A(MaxRows*MaxCols*sizeof(T)))==0
+  *   Eigen::Index rows, cols;
+  *  };
+  * \endcode</td></tr>
+  * </table>
+  * Note that in this table Rows, Cols, MaxRows and MaxCols are all positive integers. A(S) is defined to the largest possible power-of-two
+  * smaller to EIGEN_MAX_STATIC_ALIGN_BYTES.
+  *
+  * \see MatrixBase for the majority of the API methods for matrices, \ref TopicClassHierarchy,
+  * \ref TopicStorageOrders
+  */
+
+template<typename _Scalar, int _Rows, int _Cols, int _Options, int _MaxRows, int _MaxCols>
+class Matrix
+  : public PlainObjectBase<Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> >
+{
+  public:
+
+    /** \brief Base class typedef.
+      * \sa PlainObjectBase
+      */
+    typedef PlainObjectBase<Matrix> Base;
+
+    enum { Options = _Options };
+
+    EIGEN_DENSE_PUBLIC_INTERFACE(Matrix)
+
+    typedef typename Base::PlainObject PlainObject;
+
+    using Base::base;
+    using Base::coeffRef;
+
+    /**
+      * \brief Assigns matrices to each other.
+      *
+      * \note This is a special case of the templated operator=. Its purpose is
+      * to prevent a default operator= from hiding the templated operator=.
+      *
+      * \callgraph
+      */
+    EIGEN_DEVICE_FUNC
+    EIGEN_STRONG_INLINE Matrix& operator=(const Matrix& other)
+    {
+      return Base::_set(other);
+    }
+
+    /** \internal
+      * \brief Copies the value of the expression \a other into \c *this with automatic resizing.
+      *
+      * *this might be resized to match the dimensions of \a other. If *this was a null matrix (not already initialized),
+      * it will be initialized.
+      *
+      * Note that copying a row-vector into a vector (and conversely) is allowed.
+      * The resizing, if any, is then done in the appropriate way so that row-vectors
+      * remain row-vectors and vectors remain vectors.
+      */
+    template<typename OtherDerived>
+    EIGEN_DEVICE_FUNC
+    EIGEN_STRONG_INLINE Matrix& operator=(const DenseBase<OtherDerived>& other)
+    {
+      return Base::_set(other);
+    }
+
+    /* Here, doxygen failed to copy the brief information when using \copydoc */
+
+    /**
+      * \brief Copies the generic expression \a other into *this.
+      * \copydetails DenseBase::operator=(const EigenBase<OtherDerived> &other)
+      */
+    template<typename OtherDerived>
+    EIGEN_DEVICE_FUNC
+    EIGEN_STRONG_INLINE Matrix& operator=(const EigenBase<OtherDerived> &other)
+    {
+      return Base::operator=(other);
+    }
+
+    template<typename OtherDerived>
+    EIGEN_DEVICE_FUNC
+    EIGEN_STRONG_INLINE Matrix& operator=(const ReturnByValue<OtherDerived>& func)
+    {
+      return Base::operator=(func);
+    }
+
+    /** \brief Default constructor.
+      *
+      * For fixed-size matrices, does nothing.
+      *
+      * For dynamic-size matrices, creates an empty matrix of size 0. Does not allocate any array. Such a matrix
+      * is called a null matrix. This constructor is the unique way to create null matrices: resizing
+      * a matrix to 0 is not supported.
+      *
+      * \sa resize(Index,Index)
+      */
+    EIGEN_DEVICE_FUNC
+    EIGEN_STRONG_INLINE Matrix() : Base()
+    {
+      Base::_check_template_params();
+      EIGEN_INITIALIZE_COEFFS_IF_THAT_OPTION_IS_ENABLED
+    }
+
+    // FIXME is it still needed
+    EIGEN_DEVICE_FUNC
+    explicit Matrix(internal::constructor_without_unaligned_array_assert)
+      : Base(internal::constructor_without_unaligned_array_assert())
+    { Base::_check_template_params(); EIGEN_INITIALIZE_COEFFS_IF_THAT_OPTION_IS_ENABLED }
+
+#if EIGEN_HAS_RVALUE_REFERENCES
+    EIGEN_DEVICE_FUNC
+    Matrix(Matrix&& other) EIGEN_NOEXCEPT_IF(std::is_nothrow_move_constructible<Scalar>::value)
+      : Base(std::move(other))
+    {
+      Base::_check_template_params();
+    }
+    EIGEN_DEVICE_FUNC
+    Matrix& operator=(Matrix&& other) EIGEN_NOEXCEPT_IF(std::is_nothrow_move_assignable<Scalar>::value)
+    {
+      other.swap(*this);
+      return *this;
+    }
+#endif
+
+    #ifndef EIGEN_PARSED_BY_DOXYGEN
+
+    // This constructor is for both 1x1 matrices and dynamic vectors
+    template<typename T>
+    EIGEN_DEVICE_FUNC
+    EIGEN_STRONG_INLINE explicit Matrix(const T& x)
+    {
+      Base::_check_template_params();
+      Base::template _init1<T>(x);
+    }
+
+    template<typename T0, typename T1>
+    EIGEN_DEVICE_FUNC
+    EIGEN_STRONG_INLINE Matrix(const T0& x, const T1& y)
+    {
+      Base::_check_template_params();
+      Base::template _init2<T0,T1>(x, y);
+    }
+    #else
+    /** \brief Constructs a fixed-sized matrix initialized with coefficients starting at \a data */
+    EIGEN_DEVICE_FUNC
+    explicit Matrix(const Scalar *data);
+
+    /** \brief Constructs a vector or row-vector with given dimension. \only_for_vectors
+      *
+      * This is useful for dynamic-size vectors. For fixed-size vectors,
+      * it is redundant to pass these parameters, so one should use the default constructor
+      * Matrix() instead.
+      * 
+      * \warning This constructor is disabled for fixed-size \c 1x1 matrices. For instance,
+      * calling Matrix<double,1,1>(1) will call the initialization constructor: Matrix(const Scalar&).
+      * For fixed-size \c 1x1 matrices it is therefore recommended to use the default
+      * constructor Matrix() instead, especially when using one of the non standard
+      * \c EIGEN_INITIALIZE_MATRICES_BY_{ZERO,\c NAN} macros (see \ref TopicPreprocessorDirectives).
+      */
+    EIGEN_STRONG_INLINE explicit Matrix(Index dim);
+    /** \brief Constructs an initialized 1x1 matrix with the given coefficient */
+    Matrix(const Scalar& x);
+    /** \brief Constructs an uninitialized matrix with \a rows rows and \a cols columns.
+      *
+      * This is useful for dynamic-size matrices. For fixed-size matrices,
+      * it is redundant to pass these parameters, so one should use the default constructor
+      * Matrix() instead.
+      * 
+      * \warning This constructor is disabled for fixed-size \c 1x2 and \c 2x1 vectors. For instance,
+      * calling Matrix2f(2,1) will call the initialization constructor: Matrix(const Scalar& x, const Scalar& y).
+      * For fixed-size \c 1x2 or \c 2x1 vectors it is therefore recommended to use the default
+      * constructor Matrix() instead, especially when using one of the non standard
+      * \c EIGEN_INITIALIZE_MATRICES_BY_{ZERO,\c NAN} macros (see \ref TopicPreprocessorDirectives).
+      */
+    EIGEN_DEVICE_FUNC
+    Matrix(Index rows, Index cols);
+    
+    /** \brief Constructs an initialized 2D vector with given coefficients */
+    Matrix(const Scalar& x, const Scalar& y);
+    #endif
+
+    /** \brief Constructs an initialized 3D vector with given coefficients */
+    EIGEN_DEVICE_FUNC
+    EIGEN_STRONG_INLINE Matrix(const Scalar& x, const Scalar& y, const Scalar& z)
+    {
+      Base::_check_template_params();
+      EIGEN_STATIC_ASSERT_VECTOR_SPECIFIC_SIZE(Matrix, 3)
+      m_storage.data()[0] = x;
+      m_storage.data()[1] = y;
+      m_storage.data()[2] = z;
+    }
+    /** \brief Constructs an initialized 4D vector with given coefficients */
+    EIGEN_DEVICE_FUNC
+    EIGEN_STRONG_INLINE Matrix(const Scalar& x, const Scalar& y, const Scalar& z, const Scalar& w)
+    {
+      Base::_check_template_params();
+      EIGEN_STATIC_ASSERT_VECTOR_SPECIFIC_SIZE(Matrix, 4)
+      m_storage.data()[0] = x;
+      m_storage.data()[1] = y;
+      m_storage.data()[2] = z;
+      m_storage.data()[3] = w;
+    }
+
+
+    /** \brief Copy constructor */
+    EIGEN_DEVICE_FUNC
+    EIGEN_STRONG_INLINE Matrix(const Matrix& other) : Base(other)
+    { }
+
+    /** \brief Copy constructor for generic expressions.
+      * \sa MatrixBase::operator=(const EigenBase<OtherDerived>&)
+      */
+    template<typename OtherDerived>
+    EIGEN_DEVICE_FUNC
+    EIGEN_STRONG_INLINE Matrix(const EigenBase<OtherDerived> &other)
+      : Base(other.derived())
+    { }
+
+    EIGEN_DEVICE_FUNC inline Index innerStride() const { return 1; }
+    EIGEN_DEVICE_FUNC inline Index outerStride() const { return this->innerSize(); }
+
+    /////////// Geometry module ///////////
+
+    template<typename OtherDerived>
+    EIGEN_DEVICE_FUNC
+    explicit Matrix(const RotationBase<OtherDerived,ColsAtCompileTime>& r);
+    template<typename OtherDerived>
+    EIGEN_DEVICE_FUNC
+    Matrix& operator=(const RotationBase<OtherDerived,ColsAtCompileTime>& r);
+
+    // allow to extend Matrix outside Eigen
+    #ifdef EIGEN_MATRIX_PLUGIN
+    #include EIGEN_MATRIX_PLUGIN
+    #endif
+
+  protected:
+    template <typename Derived, typename OtherDerived, bool IsVector>
+    friend struct internal::conservative_resize_like_impl;
+
+    using Base::m_storage;
+};
+
+/** \defgroup matrixtypedefs Global matrix typedefs
+  *
+  * \ingroup Core_Module
+  *
+  * Eigen defines several typedef shortcuts for most common matrix and vector types.
+  *
+  * The general patterns are the following:
+  *
+  * \c MatrixSizeType where \c Size can be \c 2,\c 3,\c 4 for fixed size square matrices or \c X for dynamic size,
+  * and where \c Type can be \c i for integer, \c f for float, \c d for double, \c cf for complex float, \c cd
+  * for complex double.
+  *
+  * For example, \c Matrix3d is a fixed-size 3x3 matrix type of doubles, and \c MatrixXf is a dynamic-size matrix of floats.
+  *
+  * There are also \c VectorSizeType and \c RowVectorSizeType which are self-explanatory. For example, \c Vector4cf is
+  * a fixed-size vector of 4 complex floats.
+  *
+  * \sa class Matrix
+  */
+
+#define EIGEN_MAKE_TYPEDEFS(Type, TypeSuffix, Size, SizeSuffix)   \
+/** \ingroup matrixtypedefs */                                    \
+typedef Matrix<Type, Size, Size> Matrix##SizeSuffix##TypeSuffix;  \
+/** \ingroup matrixtypedefs */                                    \
+typedef Matrix<Type, Size, 1>    Vector##SizeSuffix##TypeSuffix;  \
+/** \ingroup matrixtypedefs */                                    \
+typedef Matrix<Type, 1, Size>    RowVector##SizeSuffix##TypeSuffix;
+
+#define EIGEN_MAKE_FIXED_TYPEDEFS(Type, TypeSuffix, Size)         \
+/** \ingroup matrixtypedefs */                                    \
+typedef Matrix<Type, Size, Dynamic> Matrix##Size##X##TypeSuffix;  \
+/** \ingroup matrixtypedefs */                                    \
+typedef Matrix<Type, Dynamic, Size> Matrix##X##Size##TypeSuffix;
+
+#define EIGEN_MAKE_TYPEDEFS_ALL_SIZES(Type, TypeSuffix) \
+EIGEN_MAKE_TYPEDEFS(Type, TypeSuffix, 2, 2) \
+EIGEN_MAKE_TYPEDEFS(Type, TypeSuffix, 3, 3) \
+EIGEN_MAKE_TYPEDEFS(Type, TypeSuffix, 4, 4) \
+EIGEN_MAKE_TYPEDEFS(Type, TypeSuffix, Dynamic, X) \
+EIGEN_MAKE_FIXED_TYPEDEFS(Type, TypeSuffix, 2) \
+EIGEN_MAKE_FIXED_TYPEDEFS(Type, TypeSuffix, 3) \
+EIGEN_MAKE_FIXED_TYPEDEFS(Type, TypeSuffix, 4)
+
+EIGEN_MAKE_TYPEDEFS_ALL_SIZES(int,                  i)
+EIGEN_MAKE_TYPEDEFS_ALL_SIZES(float,                f)
+EIGEN_MAKE_TYPEDEFS_ALL_SIZES(double,               d)
+EIGEN_MAKE_TYPEDEFS_ALL_SIZES(std::complex<float>,  cf)
+EIGEN_MAKE_TYPEDEFS_ALL_SIZES(std::complex<double>, cd)
+
+#undef EIGEN_MAKE_TYPEDEFS_ALL_SIZES
+#undef EIGEN_MAKE_TYPEDEFS
+#undef EIGEN_MAKE_FIXED_TYPEDEFS
+
+} // end namespace Eigen
+
+#endif // EIGEN_MATRIX_H
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/MapBase.h
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/MapBase.h	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/MapBase.h	(revision 3761)
@@ -0,0 +1,308 @@
+// This file is part of Eigen, a lightweight C++ template library
+// for linear algebra.
+//
+// Copyright (C) 2007-2010 Benoit Jacob <jacob.benoit.1@gmail.com>
+// Copyright (C) 2008 Gael Guennebaud <gael.guennebaud@inria.fr>
+//
+// This Source Code Form is subject to the terms of the Mozilla
+// Public License v. 2.0. If a copy of the MPL was not distributed
+// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
+
+#ifndef EIGEN_MAPBASE_H
+#define EIGEN_MAPBASE_H
+
+#define EIGEN_STATIC_ASSERT_INDEX_BASED_ACCESS(Derived) \
+      EIGEN_STATIC_ASSERT((int(internal::evaluator<Derived>::Flags) & LinearAccessBit) || Derived::IsVectorAtCompileTime, \
+                          YOU_ARE_TRYING_TO_USE_AN_INDEX_BASED_ACCESSOR_ON_AN_EXPRESSION_THAT_DOES_NOT_SUPPORT_THAT)
+
+namespace Eigen { 
+
+/** \ingroup Core_Module
+  *
+  * \brief Base class for dense Map and Block expression with direct access
+  *
+  * This base class provides the const low-level accessors (e.g. coeff, coeffRef) of dense
+  * Map and Block objects with direct access.
+  * Typical users do not have to directly deal with this class.
+  *
+  * This class can be extended by through the macro plugin \c EIGEN_MAPBASE_PLUGIN.
+  * See \link TopicCustomizing_Plugins customizing Eigen \endlink for details.
+  *
+  * The \c Derived class has to provide the following two methods describing the memory layout:
+  *  \code Index innerStride() const; \endcode
+  *  \code Index outerStride() const; \endcode
+  *
+  * \sa class Map, class Block
+  */
+template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
+  : public internal::dense_xpr_base<Derived>::type
+{
+  public:
+
+    typedef typename internal::dense_xpr_base<Derived>::type Base;
+    enum {
+      RowsAtCompileTime = internal::traits<Derived>::RowsAtCompileTime,
+      ColsAtCompileTime = internal::traits<Derived>::ColsAtCompileTime,
+      InnerStrideAtCompileTime = internal::traits<Derived>::InnerStrideAtCompileTime,
+      SizeAtCompileTime = Base::SizeAtCompileTime
+    };
+
+    typedef typename internal::traits<Derived>::StorageKind StorageKind;
+    typedef typename internal::traits<Derived>::Scalar Scalar;
+    typedef typename internal::packet_traits<Scalar>::type PacketScalar;
+    typedef typename NumTraits<Scalar>::Real RealScalar;
+    typedef typename internal::conditional<
+                         bool(internal::is_lvalue<Derived>::value),
+                         Scalar *,
+                         const Scalar *>::type
+                     PointerType;
+
+    using Base::derived;
+//    using Base::RowsAtCompileTime;
+//    using Base::ColsAtCompileTime;
+//    using Base::SizeAtCompileTime;
+    using Base::MaxRowsAtCompileTime;
+    using Base::MaxColsAtCompileTime;
+    using Base::MaxSizeAtCompileTime;
+    using Base::IsVectorAtCompileTime;
+    using Base::Flags;
+    using Base::IsRowMajor;
+
+    using Base::rows;
+    using Base::cols;
+    using Base::size;
+    using Base::coeff;
+    using Base::coeffRef;
+    using Base::lazyAssign;
+    using Base::eval;
+
+    using Base::innerStride;
+    using Base::outerStride;
+    using Base::rowStride;
+    using Base::colStride;
+
+    // bug 217 - compile error on ICC 11.1
+    using Base::operator=;
+
+    typedef typename Base::CoeffReturnType CoeffReturnType;
+
+    /** \copydoc DenseBase::rows() */
+    EIGEN_DEVICE_FUNC inline Index rows() const { return m_rows.value(); }
+    /** \copydoc DenseBase::cols() */
+    EIGEN_DEVICE_FUNC inline Index cols() const { return m_cols.value(); }
+
+    /** Returns a pointer to the first coefficient of the matrix or vector.
+      *
+      * \note When addressing this data, make sure to honor the strides returned by innerStride() and outerStride().
+      *
+      * \sa innerStride(), outerStride()
+      */
+    EIGEN_DEVICE_FUNC inline const Scalar* data() const { return m_data; }
+
+    /** \copydoc PlainObjectBase::coeff(Index,Index) const */
+    EIGEN_DEVICE_FUNC
+    inline const Scalar& coeff(Index rowId, Index colId) const
+    {
+      return m_data[colId * colStride() + rowId * rowStride()];
+    }
+
+    /** \copydoc PlainObjectBase::coeff(Index) const */
+    EIGEN_DEVICE_FUNC
+    inline const Scalar& coeff(Index index) const
+    {
+      EIGEN_STATIC_ASSERT_INDEX_BASED_ACCESS(Derived)
+      return m_data[index * innerStride()];
+    }
+
+    /** \copydoc PlainObjectBase::coeffRef(Index,Index) const */
+    EIGEN_DEVICE_FUNC
+    inline const Scalar& coeffRef(Index rowId, Index colId) const
+    {
+      return this->m_data[colId * colStride() + rowId * rowStride()];
+    }
+
+    /** \copydoc PlainObjectBase::coeffRef(Index) const */
+    EIGEN_DEVICE_FUNC
+    inline const Scalar& coeffRef(Index index) const
+    {
+      EIGEN_STATIC_ASSERT_INDEX_BASED_ACCESS(Derived)
+      return this->m_data[index * innerStride()];
+    }
+
+    /** \internal */
+    template<int LoadMode>
+    inline PacketScalar packet(Index rowId, Index colId) const
+    {
+      return internal::ploadt<PacketScalar, LoadMode>
+               (m_data + (colId * colStride() + rowId * rowStride()));
+    }
+
+    /** \internal */
+    template<int LoadMode>
+    inline PacketScalar packet(Index index) const
+    {
+      EIGEN_STATIC_ASSERT_INDEX_BASED_ACCESS(Derived)
+      return internal::ploadt<PacketScalar, LoadMode>(m_data + index * innerStride());
+    }
+
+    /** \internal Constructor for fixed size matrices or vectors */
+    EIGEN_DEVICE_FUNC
+    explicit inline MapBase(PointerType dataPtr) : m_data(dataPtr), m_rows(RowsAtCompileTime), m_cols(ColsAtCompileTime)
+    {
+      EIGEN_STATIC_ASSERT_FIXED_SIZE(Derived)
+      checkSanity<Derived>();
+    }
+
+    /** \internal Constructor for dynamically sized vectors */
+    EIGEN_DEVICE_FUNC
+    inline MapBase(PointerType dataPtr, Index vecSize)
+            : m_data(dataPtr),
+              m_rows(RowsAtCompileTime == Dynamic ? vecSize : Index(RowsAtCompileTime)),
+              m_cols(ColsAtCompileTime == Dynamic ? vecSize : Index(ColsAtCompileTime))
+    {
+      EIGEN_STATIC_ASSERT_VECTOR_ONLY(Derived)
+      eigen_assert(vecSize >= 0);
+      eigen_assert(dataPtr == 0 || SizeAtCompileTime == Dynamic || SizeAtCompileTime == vecSize);
+      checkSanity<Derived>();
+    }
+
+    /** \internal Constructor for dynamically sized matrices */
+    EIGEN_DEVICE_FUNC
+    inline MapBase(PointerType dataPtr, Index rows, Index cols)
+            : m_data(dataPtr), m_rows(rows), m_cols(cols)
+    {
+      eigen_assert( (dataPtr == 0)
+              || (   rows >= 0 && (RowsAtCompileTime == Dynamic || RowsAtCompileTime == rows)
+                  && cols >= 0 && (ColsAtCompileTime == Dynamic || ColsAtCompileTime == cols)));
+      checkSanity<Derived>();
+    }
+
+    #ifdef EIGEN_MAPBASE_PLUGIN
+    #include EIGEN_MAPBASE_PLUGIN
+    #endif
+
+  protected:
+    EIGEN_DEFAULT_COPY_CONSTRUCTOR(MapBase)
+    EIGEN_DEFAULT_EMPTY_CONSTRUCTOR_AND_DESTRUCTOR(MapBase)
+
+    template<typename T>
+    EIGEN_DEVICE_FUNC
+    void checkSanity(typename internal::enable_if<(internal::traits<T>::Alignment>0),void*>::type = 0) const
+    {
+#if EIGEN_MAX_ALIGN_BYTES>0
+      // innerStride() is not set yet when this function is called, so we optimistically assume the lowest plausible value:
+      const Index minInnerStride = InnerStrideAtCompileTime == Dynamic ? 1 : Index(InnerStrideAtCompileTime);
+      EIGEN_ONLY_USED_FOR_DEBUG(minInnerStride);
+      eigen_assert((   ((internal::UIntPtr(m_data) % internal::traits<Derived>::Alignment) == 0)
+                    || (cols() * rows() * minInnerStride * sizeof(Scalar)) < internal::traits<Derived>::Alignment ) && "data is not aligned");
+#endif
+    }
+
+    template<typename T>
+    EIGEN_DEVICE_FUNC
+    void checkSanity(typename internal::enable_if<internal::traits<T>::Alignment==0,void*>::type = 0) const
+    {}
+
+    PointerType m_data;
+    const internal::variable_if_dynamic<Index, RowsAtCompileTime> m_rows;
+    const internal::variable_if_dynamic<Index, ColsAtCompileTime> m_cols;
+};
+
+/** \ingroup Core_Module
+  *
+  * \brief Base class for non-const dense Map and Block expression with direct access
+  *
+  * This base class provides the non-const low-level accessors (e.g. coeff and coeffRef) of
+  * dense Map and Block objects with direct access.
+  * It inherits MapBase<Derived, ReadOnlyAccessors> which defines the const variant for reading specific entries.
+  *
+  * \sa class Map, class Block
+  */
+template<typename Derived> class MapBase<Derived, WriteAccessors>
+  : public MapBase<Derived, ReadOnlyAccessors>
+{
+    typedef MapBase<Derived, ReadOnlyAccessors> ReadOnlyMapBase;
+  public:
+
+    typedef MapBase<Derived, ReadOnlyAccessors> Base;
+
+    typedef typename Base::Scalar Scalar;
+    typedef typename Base::PacketScalar PacketScalar;
+    typedef typename Base::StorageIndex StorageIndex;
+    typedef typename Base::PointerType PointerType;
+
+    using Base::derived;
+    using Base::rows;
+    using Base::cols;
+    using Base::size;
+    using Base::coeff;
+    using Base::coeffRef;
+
+    using Base::innerStride;
+    using Base::outerStride;
+    using Base::rowStride;
+    using Base::colStride;
+
+    typedef typename internal::conditional<
+                    internal::is_lvalue<Derived>::value,
+                    Scalar,
+                    const Scalar
+                  >::type ScalarWithConstIfNotLvalue;
+
+    EIGEN_DEVICE_FUNC
+    inline const Scalar* data() const { return this->m_data; }
+    EIGEN_DEVICE_FUNC
+    inline ScalarWithConstIfNotLvalue* data() { return this->m_data; } // no const-cast here so non-const-correct code will give a compile error
+
+    EIGEN_DEVICE_FUNC
+    inline ScalarWithConstIfNotLvalue& coeffRef(Index row, Index col)
+    {
+      return this->m_data[col * colStride() + row * rowStride()];
+    }
+
+    EIGEN_DEVICE_FUNC
+    inline ScalarWithConstIfNotLvalue& coeffRef(Index index)
+    {
+      EIGEN_STATIC_ASSERT_INDEX_BASED_ACCESS(Derived)
+      return this->m_data[index * innerStride()];
+    }
+
+    template<int StoreMode>
+    inline void writePacket(Index row, Index col, const PacketScalar& val)
+    {
+      internal::pstoret<Scalar, PacketScalar, StoreMode>
+               (this->m_data + (col * colStride() + row * rowStride()), val);
+    }
+
+    template<int StoreMode>
+    inline void writePacket(Index index, const PacketScalar& val)
+    {
+      EIGEN_STATIC_ASSERT_INDEX_BASED_ACCESS(Derived)
+      internal::pstoret<Scalar, PacketScalar, StoreMode>
+                (this->m_data + index * innerStride(), val);
+    }
+
+    EIGEN_DEVICE_FUNC explicit inline MapBase(PointerType dataPtr) : Base(dataPtr) {}
+    EIGEN_DEVICE_FUNC inline MapBase(PointerType dataPtr, Index vecSize) : Base(dataPtr, vecSize) {}
+    EIGEN_DEVICE_FUNC inline MapBase(PointerType dataPtr, Index rows, Index cols) : Base(dataPtr, rows, cols) {}
+
+    EIGEN_DEVICE_FUNC
+    Derived& operator=(const MapBase& other)
+    {
+      ReadOnlyMapBase::Base::operator=(other);
+      return derived();
+    }
+
+    // In theory we could simply refer to Base:Base::operator=, but MSVC does not like Base::Base,
+    // see bugs 821 and 920.
+    using ReadOnlyMapBase::Base::operator=;
+  protected:
+    EIGEN_DEFAULT_COPY_CONSTRUCTOR(MapBase)
+    EIGEN_DEFAULT_EMPTY_CONSTRUCTOR_AND_DESTRUCTOR(MapBase)
+};
+
+#undef EIGEN_STATIC_ASSERT_INDEX_BASED_ACCESS
+
+} // end namespace Eigen
+
+#endif // EIGEN_MAPBASE_H
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/Inverse.h
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/Inverse.h	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/Inverse.h	(revision 3761)
@@ -0,0 +1,118 @@
+// This file is part of Eigen, a lightweight C++ template library
+// for linear algebra.
+//
+// Copyright (C) 2014 Gael Guennebaud <gael.guennebaud@inria.fr>
+//
+// This Source Code Form is subject to the terms of the Mozilla
+// Public License v. 2.0. If a copy of the MPL was not distributed
+// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
+
+#ifndef EIGEN_INVERSE_H
+#define EIGEN_INVERSE_H
+
+namespace Eigen { 
+
+template<typename XprType,typename StorageKind> class InverseImpl;
+
+namespace internal {
+
+template<typename XprType>
+struct traits<Inverse<XprType> >
+  : traits<typename XprType::PlainObject>
+{
+  typedef typename XprType::PlainObject PlainObject;
+  typedef traits<PlainObject> BaseTraits;
+  enum {
+    Flags = BaseTraits::Flags & RowMajorBit
+  };
+};
+
+} // end namespace internal
+
+/** \class Inverse
+  *
+  * \brief Expression of the inverse of another expression
+  *
+  * \tparam XprType the type of the expression we are taking the inverse
+  *
+  * This class represents an abstract expression of A.inverse()
+  * and most of the time this is the only way it is used.
+  *
+  */
+template<typename XprType>
+class Inverse : public InverseImpl<XprType,typename internal::traits<XprType>::StorageKind>
+{
+public:
+  typedef typename XprType::StorageIndex StorageIndex;
+  typedef typename XprType::PlainObject                       PlainObject;
+  typedef typename XprType::Scalar                            Scalar;
+  typedef typename internal::ref_selector<XprType>::type      XprTypeNested;
+  typedef typename internal::remove_all<XprTypeNested>::type  XprTypeNestedCleaned;
+  typedef typename internal::ref_selector<Inverse>::type Nested;
+  typedef typename internal::remove_all<XprType>::type NestedExpression;
+  
+  explicit EIGEN_DEVICE_FUNC Inverse(const XprType &xpr)
+    : m_xpr(xpr)
+  {}
+
+  EIGEN_DEVICE_FUNC Index rows() const { return m_xpr.rows(); }
+  EIGEN_DEVICE_FUNC Index cols() const { return m_xpr.cols(); }
+
+  EIGEN_DEVICE_FUNC const XprTypeNestedCleaned& nestedExpression() const { return m_xpr; }
+
+protected:
+  XprTypeNested m_xpr;
+};
+
+// Generic API dispatcher
+template<typename XprType, typename StorageKind>
+class InverseImpl
+  : public internal::generic_xpr_base<Inverse<XprType> >::type
+{
+public:
+  typedef typename internal::generic_xpr_base<Inverse<XprType> >::type Base;
+  typedef typename XprType::Scalar Scalar;
+private:
+
+  Scalar coeff(Index row, Index col) const;
+  Scalar coeff(Index i) const;
+};
+
+namespace internal {
+
+/** \internal
+  * \brief Default evaluator for Inverse expression.
+  * 
+  * This default evaluator for Inverse expression simply evaluate the inverse into a temporary
+  * by a call to internal::call_assignment_no_alias.
+  * Therefore, inverse implementers only have to specialize Assignment<Dst,Inverse<...>, ...> for
+  * there own nested expression.
+  *
+  * \sa class Inverse
+  */
+template<typename ArgType>
+struct unary_evaluator<Inverse<ArgType> >
+  : public evaluator<typename Inverse<ArgType>::PlainObject>
+{
+  typedef Inverse<ArgType> InverseType;
+  typedef typename InverseType::PlainObject PlainObject;
+  typedef evaluator<PlainObject> Base;
+  
+  enum { Flags = Base::Flags | EvalBeforeNestingBit };
+
+  unary_evaluator(const InverseType& inv_xpr)
+    : m_result(inv_xpr.rows(), inv_xpr.cols())
+  {
+    ::new (static_cast<Base*>(this)) Base(m_result);
+    internal::call_assignment_no_alias(m_result, inv_xpr);
+  }
+  
+protected:
+  PlainObject m_result;
+};
+  
+} // end namespace internal
+
+} // end namespace Eigen
+
+#endif // EIGEN_INVERSE_H
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h	(revision 3761)
@@ -0,0 +1,96 @@
+// This file is part of Eigen, a lightweight C++ template library
+// for linear algebra.
+//
+// Copyright (C) 2008-2010 Gael Guennebaud <gael.guennebaud@inria.fr>
+// Copyright (C) 2006-2008 Benoit Jacob <jacob.benoit.1@gmail.com>
+//
+// This Source Code Form is subject to the terms of the Mozilla
+// Public License v. 2.0. If a copy of the MPL was not distributed
+// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
+
+#ifndef EIGEN_VECTORBLOCK_H
+#define EIGEN_VECTORBLOCK_H
+
+namespace Eigen { 
+
+namespace internal {
+template<typename VectorType, int Size>
+struct traits<VectorBlock<VectorType, Size> >
+  : public traits<Block<VectorType,
+                     traits<VectorType>::Flags & RowMajorBit ? 1 : Size,
+                     traits<VectorType>::Flags & RowMajorBit ? Size : 1> >
+{
+};
+}
+
+/** \class VectorBlock
+  * \ingroup Core_Module
+  *
+  * \brief Expression of a fixed-size or dynamic-size sub-vector
+  *
+  * \tparam VectorType the type of the object in which we are taking a sub-vector
+  * \tparam Size size of the sub-vector we are taking at compile time (optional)
+  *
+  * This class represents an expression of either a fixed-size or dynamic-size sub-vector.
+  * It is the return type of DenseBase::segment(Index,Index) and DenseBase::segment<int>(Index) and
+  * most of the time this is the only way it is used.
+  *
+  * However, if you want to directly maniputate sub-vector expressions,
+  * for instance if you want to write a function returning such an expression, you
+  * will need to use this class.
+  *
+  * Here is an example illustrating the dynamic case:
+  * \include class_VectorBlock.cpp
+  * Output: \verbinclude class_VectorBlock.out
+  *
+  * \note Even though this expression has dynamic size, in the case where \a VectorType
+  * has fixed size, this expression inherits a fixed maximal size which means that evaluating
+  * it does not cause a dynamic memory allocation.
+  *
+  * Here is an example illustrating the fixed-size case:
+  * \include class_FixedVectorBlock.cpp
+  * Output: \verbinclude class_FixedVectorBlock.out
+  *
+  * \sa class Block, DenseBase::segment(Index,Index,Index,Index), DenseBase::segment(Index,Index)
+  */
+template<typename VectorType, int Size> class VectorBlock
+  : public Block<VectorType,
+                     internal::traits<VectorType>::Flags & RowMajorBit ? 1 : Size,
+                     internal::traits<VectorType>::Flags & RowMajorBit ? Size : 1>
+{
+    typedef Block<VectorType,
+                     internal::traits<VectorType>::Flags & RowMajorBit ? 1 : Size,
+                     internal::traits<VectorType>::Flags & RowMajorBit ? Size : 1> Base;
+    enum {
+      IsColVector = !(internal::traits<VectorType>::Flags & RowMajorBit)
+    };
+  public:
+    EIGEN_DENSE_PUBLIC_INTERFACE(VectorBlock)
+
+    using Base::operator=;
+
+    /** Dynamic-size constructor
+      */
+    EIGEN_DEVICE_FUNC
+    inline VectorBlock(VectorType& vector, Index start, Index size)
+      : Base(vector,
+             IsColVector ? start : 0, IsColVector ? 0 : start,
+             IsColVector ? size  : 1, IsColVector ? 1 : size)
+    {
+      EIGEN_STATIC_ASSERT_VECTOR_ONLY(VectorBlock);
+    }
+
+    /** Fixed-size constructor
+      */
+    EIGEN_DEVICE_FUNC
+    inline VectorBlock(VectorType& vector, Index start)
+      : Base(vector, IsColVector ? start : 0, IsColVector ? 0 : start)
+    {
+      EIGEN_STATIC_ASSERT_VECTOR_ONLY(VectorBlock);
+    }
+};
+
+
+} // end namespace Eigen
+
+#endif // EIGEN_VECTORBLOCK_H
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/CwiseTernaryOp.h
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/CwiseTernaryOp.h	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/CwiseTernaryOp.h	(revision 3761)
@@ -0,0 +1,197 @@
+// This file is part of Eigen, a lightweight C++ template library
+// for linear algebra.
+//
+// Copyright (C) 2008-2014 Gael Guennebaud <gael.guennebaud@inria.fr>
+// Copyright (C) 2006-2008 Benoit Jacob <jacob.benoit.1@gmail.com>
+// Copyright (C) 2016 Eugene Brevdo <ebrevdo@gmail.com>
+//
+// This Source Code Form is subject to the terms of the Mozilla
+// Public License v. 2.0. If a copy of the MPL was not distributed
+// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
+
+#ifndef EIGEN_CWISE_TERNARY_OP_H
+#define EIGEN_CWISE_TERNARY_OP_H
+
+namespace Eigen {
+
+namespace internal {
+template <typename TernaryOp, typename Arg1, typename Arg2, typename Arg3>
+struct traits<CwiseTernaryOp<TernaryOp, Arg1, Arg2, Arg3> > {
+  // we must not inherit from traits<Arg1> since it has
+  // the potential to cause problems with MSVC
+  typedef typename remove_all<Arg1>::type Ancestor;
+  typedef typename traits<Ancestor>::XprKind XprKind;
+  enum {
+    RowsAtCompileTime = traits<Ancestor>::RowsAtCompileTime,
+    ColsAtCompileTime = traits<Ancestor>::ColsAtCompileTime,
+    MaxRowsAtCompileTime = traits<Ancestor>::MaxRowsAtCompileTime,
+    MaxColsAtCompileTime = traits<Ancestor>::MaxColsAtCompileTime
+  };
+
+  // even though we require Arg1, Arg2, and Arg3 to have the same scalar type
+  // (see CwiseTernaryOp constructor),
+  // we still want to handle the case when the result type is different.
+  typedef typename result_of<TernaryOp(
+      const typename Arg1::Scalar&, const typename Arg2::Scalar&,
+      const typename Arg3::Scalar&)>::type Scalar;
+
+  typedef typename internal::traits<Arg1>::StorageKind StorageKind;
+  typedef typename internal::traits<Arg1>::StorageIndex StorageIndex;
+
+  typedef typename Arg1::Nested Arg1Nested;
+  typedef typename Arg2::Nested Arg2Nested;
+  typedef typename Arg3::Nested Arg3Nested;
+  typedef typename remove_reference<Arg1Nested>::type _Arg1Nested;
+  typedef typename remove_reference<Arg2Nested>::type _Arg2Nested;
+  typedef typename remove_reference<Arg3Nested>::type _Arg3Nested;
+  enum { Flags = _Arg1Nested::Flags & RowMajorBit };
+};
+}  // end namespace internal
+
+template <typename TernaryOp, typename Arg1, typename Arg2, typename Arg3,
+          typename StorageKind>
+class CwiseTernaryOpImpl;
+
+/** \class CwiseTernaryOp
+  * \ingroup Core_Module
+  *
+  * \brief Generic expression where a coefficient-wise ternary operator is
+ * applied to two expressions
+  *
+  * \tparam TernaryOp template functor implementing the operator
+  * \tparam Arg1Type the type of the first argument
+  * \tparam Arg2Type the type of the second argument
+  * \tparam Arg3Type the type of the third argument
+  *
+  * This class represents an expression where a coefficient-wise ternary
+ * operator is applied to three expressions.
+  * It is the return type of ternary operators, by which we mean only those
+ * ternary operators where
+  * all three arguments are Eigen expressions.
+  * For example, the return type of betainc(matrix1, matrix2, matrix3) is a
+ * CwiseTernaryOp.
+  *
+  * Most of the time, this is the only way that it is used, so you typically
+ * don't have to name
+  * CwiseTernaryOp types explicitly.
+  *
+  * \sa MatrixBase::ternaryExpr(const MatrixBase<Argument2> &, const
+ * MatrixBase<Argument3> &, const CustomTernaryOp &) const, class CwiseBinaryOp,
+ * class CwiseUnaryOp, class CwiseNullaryOp
+  */
+template <typename TernaryOp, typename Arg1Type, typename Arg2Type,
+          typename Arg3Type>
+class CwiseTernaryOp : public CwiseTernaryOpImpl<
+                           TernaryOp, Arg1Type, Arg2Type, Arg3Type,
+                           typename internal::traits<Arg1Type>::StorageKind>,
+                       internal::no_assignment_operator
+{
+ public:
+  typedef typename internal::remove_all<Arg1Type>::type Arg1;
+  typedef typename internal::remove_all<Arg2Type>::type Arg2;
+  typedef typename internal::remove_all<Arg3Type>::type Arg3;
+
+  typedef typename CwiseTernaryOpImpl<
+      TernaryOp, Arg1Type, Arg2Type, Arg3Type,
+      typename internal::traits<Arg1Type>::StorageKind>::Base Base;
+  EIGEN_GENERIC_PUBLIC_INTERFACE(CwiseTernaryOp)
+
+  typedef typename internal::ref_selector<Arg1Type>::type Arg1Nested;
+  typedef typename internal::ref_selector<Arg2Type>::type Arg2Nested;
+  typedef typename internal::ref_selector<Arg3Type>::type Arg3Nested;
+  typedef typename internal::remove_reference<Arg1Nested>::type _Arg1Nested;
+  typedef typename internal::remove_reference<Arg2Nested>::type _Arg2Nested;
+  typedef typename internal::remove_reference<Arg3Nested>::type _Arg3Nested;
+
+  EIGEN_DEVICE_FUNC
+  EIGEN_STRONG_INLINE CwiseTernaryOp(const Arg1& a1, const Arg2& a2,
+                                     const Arg3& a3,
+                                     const TernaryOp& func = TernaryOp())
+      : m_arg1(a1), m_arg2(a2), m_arg3(a3), m_functor(func) {
+    // require the sizes to match
+    EIGEN_STATIC_ASSERT_SAME_MATRIX_SIZE(Arg1, Arg2)
+    EIGEN_STATIC_ASSERT_SAME_MATRIX_SIZE(Arg1, Arg3)
+
+    // The index types should match
+    EIGEN_STATIC_ASSERT((internal::is_same<
+                         typename internal::traits<Arg1Type>::StorageKind,
+                         typename internal::traits<Arg2Type>::StorageKind>::value),
+                        STORAGE_KIND_MUST_MATCH)
+    EIGEN_STATIC_ASSERT((internal::is_same<
+                         typename internal::traits<Arg1Type>::StorageKind,
+                         typename internal::traits<Arg3Type>::StorageKind>::value),
+                        STORAGE_KIND_MUST_MATCH)
+
+    eigen_assert(a1.rows() == a2.rows() && a1.cols() == a2.cols() &&
+                 a1.rows() == a3.rows() && a1.cols() == a3.cols());
+  }
+
+  EIGEN_DEVICE_FUNC
+  EIGEN_STRONG_INLINE Index rows() const {
+    // return the fixed size type if available to enable compile time
+    // optimizations
+    if (internal::traits<typename internal::remove_all<Arg1Nested>::type>::
+                RowsAtCompileTime == Dynamic &&
+        internal::traits<typename internal::remove_all<Arg2Nested>::type>::
+                RowsAtCompileTime == Dynamic)
+      return m_arg3.rows();
+    else if (internal::traits<typename internal::remove_all<Arg1Nested>::type>::
+                     RowsAtCompileTime == Dynamic &&
+             internal::traits<typename internal::remove_all<Arg3Nested>::type>::
+                     RowsAtCompileTime == Dynamic)
+      return m_arg2.rows();
+    else
+      return m_arg1.rows();
+  }
+  EIGEN_DEVICE_FUNC
+  EIGEN_STRONG_INLINE Index cols() const {
+    // return the fixed size type if available to enable compile time
+    // optimizations
+    if (internal::traits<typename internal::remove_all<Arg1Nested>::type>::
+                ColsAtCompileTime == Dynamic &&
+        internal::traits<typename internal::remove_all<Arg2Nested>::type>::
+                ColsAtCompileTime == Dynamic)
+      return m_arg3.cols();
+    else if (internal::traits<typename internal::remove_all<Arg1Nested>::type>::
+                     ColsAtCompileTime == Dynamic &&
+             internal::traits<typename internal::remove_all<Arg3Nested>::type>::
+                     ColsAtCompileTime == Dynamic)
+      return m_arg2.cols();
+    else
+      return m_arg1.cols();
+  }
+
+  /** \returns the first argument nested expression */
+  EIGEN_DEVICE_FUNC
+  const _Arg1Nested& arg1() const { return m_arg1; }
+  /** \returns the first argument nested expression */
+  EIGEN_DEVICE_FUNC
+  const _Arg2Nested& arg2() const { return m_arg2; }
+  /** \returns the third argument nested expression */
+  EIGEN_DEVICE_FUNC
+  const _Arg3Nested& arg3() const { return m_arg3; }
+  /** \returns the functor representing the ternary operation */
+  EIGEN_DEVICE_FUNC
+  const TernaryOp& functor() const { return m_functor; }
+
+ protected:
+  Arg1Nested m_arg1;
+  Arg2Nested m_arg2;
+  Arg3Nested m_arg3;
+  const TernaryOp m_functor;
+};
+
+// Generic API dispatcher
+template <typename TernaryOp, typename Arg1, typename Arg2, typename Arg3,
+          typename StorageKind>
+class CwiseTernaryOpImpl
+    : public internal::generic_xpr_base<
+          CwiseTernaryOp<TernaryOp, Arg1, Arg2, Arg3> >::type {
+ public:
+  typedef typename internal::generic_xpr_base<
+      CwiseTernaryOp<TernaryOp, Arg1, Arg2, Arg3> >::type Base;
+};
+
+}  // end namespace Eigen
+
+#endif  // EIGEN_CWISE_TERNARY_OP_H
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/Transpose.h
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/Transpose.h	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/Transpose.h	(revision 3761)
@@ -0,0 +1,405 @@
+// This file is part of Eigen, a lightweight C++ template library
+// for linear algebra.
+//
+// Copyright (C) 2006-2008 Benoit Jacob <jacob.benoit.1@gmail.com>
+// Copyright (C) 2009-2014 Gael Guennebaud <gael.guennebaud@inria.fr>
+//
+// This Source Code Form is subject to the terms of the Mozilla
+// Public License v. 2.0. If a copy of the MPL was not distributed
+// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
+
+#ifndef EIGEN_TRANSPOSE_H
+#define EIGEN_TRANSPOSE_H
+
+namespace Eigen { 
+
+namespace internal {
+template<typename MatrixType>
+struct traits<Transpose<MatrixType> > : public traits<MatrixType>
+{
+  typedef typename ref_selector<MatrixType>::type MatrixTypeNested;
+  typedef typename remove_reference<MatrixTypeNested>::type MatrixTypeNestedPlain;
+  enum {
+    RowsAtCompileTime = MatrixType::ColsAtCompileTime,
+    ColsAtCompileTime = MatrixType::RowsAtCompileTime,
+    MaxRowsAtCompileTime = MatrixType::MaxColsAtCompileTime,
+    MaxColsAtCompileTime = MatrixType::MaxRowsAtCompileTime,
+    FlagsLvalueBit = is_lvalue<MatrixType>::value ? LvalueBit : 0,
+    Flags0 = traits<MatrixTypeNestedPlain>::Flags & ~(LvalueBit | NestByRefBit),
+    Flags1 = Flags0 | FlagsLvalueBit,
+    Flags = Flags1 ^ RowMajorBit,
+    InnerStrideAtCompileTime = inner_stride_at_compile_time<MatrixType>::ret,
+    OuterStrideAtCompileTime = outer_stride_at_compile_time<MatrixType>::ret
+  };
+};
+}
+
+template<typename MatrixType, typename StorageKind> class TransposeImpl;
+
+/** \class Transpose
+  * \ingroup Core_Module
+  *
+  * \brief Expression of the transpose of a matrix
+  *
+  * \tparam MatrixType the type of the object of which we are taking the transpose
+  *
+  * This class represents an expression of the transpose of a matrix.
+  * It is the return type of MatrixBase::transpose() and MatrixBase::adjoint()
+  * and most of the time this is the only way it is used.
+  *
+  * \sa MatrixBase::transpose(), MatrixBase::adjoint()
+  */
+template<typename MatrixType> class Transpose
+  : public TransposeImpl<MatrixType,typename internal::traits<MatrixType>::StorageKind>
+{
+  public:
+
+    typedef typename internal::ref_selector<MatrixType>::non_const_type MatrixTypeNested;
+
+    typedef typename TransposeImpl<MatrixType,typename internal::traits<MatrixType>::StorageKind>::Base Base;
+    EIGEN_GENERIC_PUBLIC_INTERFACE(Transpose)
+    typedef typename internal::remove_all<MatrixType>::type NestedExpression;
+
+    EIGEN_DEVICE_FUNC
+    explicit inline Transpose(MatrixType& matrix) : m_matrix(matrix) {}
+
+    EIGEN_INHERIT_ASSIGNMENT_OPERATORS(Transpose)
+
+    EIGEN_DEVICE_FUNC inline Index rows() const { return m_matrix.cols(); }
+    EIGEN_DEVICE_FUNC inline Index cols() const { return m_matrix.rows(); }
+
+    /** \returns the nested expression */
+    EIGEN_DEVICE_FUNC
+    const typename internal::remove_all<MatrixTypeNested>::type&
+    nestedExpression() const { return m_matrix; }
+
+    /** \returns the nested expression */
+    EIGEN_DEVICE_FUNC
+    typename internal::remove_reference<MatrixTypeNested>::type&
+    nestedExpression() { return m_matrix; }
+
+    /** \internal */
+    void resize(Index nrows, Index ncols) {
+      m_matrix.resize(ncols,nrows);
+    }
+
+  protected:
+    typename internal::ref_selector<MatrixType>::non_const_type m_matrix;
+};
+
+namespace internal {
+
+template<typename MatrixType, bool HasDirectAccess = has_direct_access<MatrixType>::ret>
+struct TransposeImpl_base
+{
+  typedef typename dense_xpr_base<Transpose<MatrixType> >::type type;
+};
+
+template<typename MatrixType>
+struct TransposeImpl_base<MatrixType, false>
+{
+  typedef typename dense_xpr_base<Transpose<MatrixType> >::type type;
+};
+
+} // end namespace internal
+
+// Generic API dispatcher
+template<typename XprType, typename StorageKind>
+class TransposeImpl
+  : public internal::generic_xpr_base<Transpose<XprType> >::type
+{
+public:
+  typedef typename internal::generic_xpr_base<Transpose<XprType> >::type Base;
+};
+
+template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
+  : public internal::TransposeImpl_base<MatrixType>::type
+{
+  public:
+
+    typedef typename internal::TransposeImpl_base<MatrixType>::type Base;
+    using Base::coeffRef;
+    EIGEN_DENSE_PUBLIC_INTERFACE(Transpose<MatrixType>)
+    EIGEN_INHERIT_ASSIGNMENT_OPERATORS(TransposeImpl)
+
+    EIGEN_DEVICE_FUNC inline Index innerStride() const { return derived().nestedExpression().innerStride(); }
+    EIGEN_DEVICE_FUNC inline Index outerStride() const { return derived().nestedExpression().outerStride(); }
+
+    typedef typename internal::conditional<
+                       internal::is_lvalue<MatrixType>::value,
+                       Scalar,
+                       const Scalar
+                     >::type ScalarWithConstIfNotLvalue;
+
+    EIGEN_DEVICE_FUNC inline ScalarWithConstIfNotLvalue* data() { return derived().nestedExpression().data(); }
+    EIGEN_DEVICE_FUNC inline const Scalar* data() const { return derived().nestedExpression().data(); }
+
+    // FIXME: shall we keep the const version of coeffRef?
+    EIGEN_DEVICE_FUNC
+    inline const Scalar& coeffRef(Index rowId, Index colId) const
+    {
+      return derived().nestedExpression().coeffRef(colId, rowId);
+    }
+
+    EIGEN_DEVICE_FUNC
+    inline const Scalar& coeffRef(Index index) const
+    {
+      return derived().nestedExpression().coeffRef(index);
+    }
+  protected:
+    EIGEN_DEFAULT_EMPTY_CONSTRUCTOR_AND_DESTRUCTOR(TransposeImpl)
+};
+
+/** \returns an expression of the transpose of *this.
+  *
+  * Example: \include MatrixBase_transpose.cpp
+  * Output: \verbinclude MatrixBase_transpose.out
+  *
+  * \warning If you want to replace a matrix by its own transpose, do \b NOT do this:
+  * \code
+  * m = m.transpose(); // bug!!! caused by aliasing effect
+  * \endcode
+  * Instead, use the transposeInPlace() method:
+  * \code
+  * m.transposeInPlace();
+  * \endcode
+  * which gives Eigen good opportunities for optimization, or alternatively you can also do:
+  * \code
+  * m = m.transpose().eval();
+  * \endcode
+  *
+  * \sa transposeInPlace(), adjoint() */
+template<typename Derived>
+inline Transpose<Derived>
+DenseBase<Derived>::transpose()
+{
+  return TransposeReturnType(derived());
+}
+
+/** This is the const version of transpose().
+  *
+  * Make sure you read the warning for transpose() !
+  *
+  * \sa transposeInPlace(), adjoint() */
+template<typename Derived>
+inline typename DenseBase<Derived>::ConstTransposeReturnType
+DenseBase<Derived>::transpose() const
+{
+  return ConstTransposeReturnType(derived());
+}
+
+/** \returns an expression of the adjoint (i.e. conjugate transpose) of *this.
+  *
+  * Example: \include MatrixBase_adjoint.cpp
+  * Output: \verbinclude MatrixBase_adjoint.out
+  *
+  * \warning If you want to replace a matrix by its own adjoint, do \b NOT do this:
+  * \code
+  * m = m.adjoint(); // bug!!! caused by aliasing effect
+  * \endcode
+  * Instead, use the adjointInPlace() method:
+  * \code
+  * m.adjointInPlace();
+  * \endcode
+  * which gives Eigen good opportunities for optimization, or alternatively you can also do:
+  * \code
+  * m = m.adjoint().eval();
+  * \endcode
+  *
+  * \sa adjointInPlace(), transpose(), conjugate(), class Transpose, class internal::scalar_conjugate_op */
+template<typename Derived>
+inline const typename MatrixBase<Derived>::AdjointReturnType
+MatrixBase<Derived>::adjoint() const
+{
+  return AdjointReturnType(this->transpose());
+}
+
+/***************************************************************************
+* "in place" transpose implementation
+***************************************************************************/
+
+namespace internal {
+
+template<typename MatrixType,
+  bool IsSquare = (MatrixType::RowsAtCompileTime == MatrixType::ColsAtCompileTime) && MatrixType::RowsAtCompileTime!=Dynamic,
+  bool MatchPacketSize =
+        (int(MatrixType::RowsAtCompileTime) == int(internal::packet_traits<typename MatrixType::Scalar>::size))
+    &&  (internal::evaluator<MatrixType>::Flags&PacketAccessBit) >
+struct inplace_transpose_selector;
+
+template<typename MatrixType>
+struct inplace_transpose_selector<MatrixType,true,false> { // square matrix
+  static void run(MatrixType& m) {
+    m.matrix().template triangularView<StrictlyUpper>().swap(m.matrix().transpose());
+  }
+};
+
+// TODO: vectorized path is currently limited to LargestPacketSize x LargestPacketSize cases only.
+template<typename MatrixType>
+struct inplace_transpose_selector<MatrixType,true,true> { // PacketSize x PacketSize
+  static void run(MatrixType& m) {
+    typedef typename MatrixType::Scalar Scalar;
+    typedef typename internal::packet_traits<typename MatrixType::Scalar>::type Packet;
+    const Index PacketSize = internal::packet_traits<Scalar>::size;
+    const Index Alignment = internal::evaluator<MatrixType>::Alignment;
+    PacketBlock<Packet> A;
+    for (Index i=0; i<PacketSize; ++i)
+      A.packet[i] = m.template packetByOuterInner<Alignment>(i,0);
+    internal::ptranspose(A);
+    for (Index i=0; i<PacketSize; ++i)
+      m.template writePacket<Alignment>(m.rowIndexByOuterInner(i,0), m.colIndexByOuterInner(i,0), A.packet[i]);
+  }
+};
+
+template<typename MatrixType,bool MatchPacketSize>
+struct inplace_transpose_selector<MatrixType,false,MatchPacketSize> { // non square matrix
+  static void run(MatrixType& m) {
+    if (m.rows()==m.cols())
+      m.matrix().template triangularView<StrictlyUpper>().swap(m.matrix().transpose());
+    else
+      m = m.transpose().eval();
+  }
+};
+
+} // end namespace internal
+
+/** This is the "in place" version of transpose(): it replaces \c *this by its own transpose.
+  * Thus, doing
+  * \code
+  * m.transposeInPlace();
+  * \endcode
+  * has the same effect on m as doing
+  * \code
+  * m = m.transpose().eval();
+  * \endcode
+  * and is faster and also safer because in the latter line of code, forgetting the eval() results
+  * in a bug caused by \ref TopicAliasing "aliasing".
+  *
+  * Notice however that this method is only useful if you want to replace a matrix by its own transpose.
+  * If you just need the transpose of a matrix, use transpose().
+  *
+  * \note if the matrix is not square, then \c *this must be a resizable matrix. 
+  * This excludes (non-square) fixed-size matrices, block-expressions and maps.
+  *
+  * \sa transpose(), adjoint(), adjointInPlace() */
+template<typename Derived>
+inline void DenseBase<Derived>::transposeInPlace()
+{
+  eigen_assert((rows() == cols() || (RowsAtCompileTime == Dynamic && ColsAtCompileTime == Dynamic))
+               && "transposeInPlace() called on a non-square non-resizable matrix");
+  internal::inplace_transpose_selector<Derived>::run(derived());
+}
+
+/***************************************************************************
+* "in place" adjoint implementation
+***************************************************************************/
+
+/** This is the "in place" version of adjoint(): it replaces \c *this by its own transpose.
+  * Thus, doing
+  * \code
+  * m.adjointInPlace();
+  * \endcode
+  * has the same effect on m as doing
+  * \code
+  * m = m.adjoint().eval();
+  * \endcode
+  * and is faster and also safer because in the latter line of code, forgetting the eval() results
+  * in a bug caused by aliasing.
+  *
+  * Notice however that this method is only useful if you want to replace a matrix by its own adjoint.
+  * If you just need the adjoint of a matrix, use adjoint().
+  *
+  * \note if the matrix is not square, then \c *this must be a resizable matrix.
+  * This excludes (non-square) fixed-size matrices, block-expressions and maps.
+  *
+  * \sa transpose(), adjoint(), transposeInPlace() */
+template<typename Derived>
+inline void MatrixBase<Derived>::adjointInPlace()
+{
+  derived() = adjoint().eval();
+}
+
+#ifndef EIGEN_NO_DEBUG
+
+// The following is to detect aliasing problems in most common cases.
+
+namespace internal {
+
+template<bool DestIsTransposed, typename OtherDerived>
+struct check_transpose_aliasing_compile_time_selector
+{
+  enum { ret = bool(blas_traits<OtherDerived>::IsTransposed) != DestIsTransposed };
+};
+
+template<bool DestIsTransposed, typename BinOp, typename DerivedA, typename DerivedB>
+struct check_transpose_aliasing_compile_time_selector<DestIsTransposed,CwiseBinaryOp<BinOp,DerivedA,DerivedB> >
+{
+  enum { ret =    bool(blas_traits<DerivedA>::IsTransposed) != DestIsTransposed
+               || bool(blas_traits<DerivedB>::IsTransposed) != DestIsTransposed
+  };
+};
+
+template<typename Scalar, bool DestIsTransposed, typename OtherDerived>
+struct check_transpose_aliasing_run_time_selector
+{
+  static bool run(const Scalar* dest, const OtherDerived& src)
+  {
+    return (bool(blas_traits<OtherDerived>::IsTransposed) != DestIsTransposed) && (dest!=0 && dest==(const Scalar*)extract_data(src));
+  }
+};
+
+template<typename Scalar, bool DestIsTransposed, typename BinOp, typename DerivedA, typename DerivedB>
+struct check_transpose_aliasing_run_time_selector<Scalar,DestIsTransposed,CwiseBinaryOp<BinOp,DerivedA,DerivedB> >
+{
+  static bool run(const Scalar* dest, const CwiseBinaryOp<BinOp,DerivedA,DerivedB>& src)
+  {
+    return ((blas_traits<DerivedA>::IsTransposed != DestIsTransposed) && (dest!=0 && dest==(const Scalar*)extract_data(src.lhs())))
+        || ((blas_traits<DerivedB>::IsTransposed != DestIsTransposed) && (dest!=0 && dest==(const Scalar*)extract_data(src.rhs())));
+  }
+};
+
+// the following selector, checkTransposeAliasing_impl, based on MightHaveTransposeAliasing,
+// is because when the condition controlling the assert is known at compile time, ICC emits a warning.
+// This is actually a good warning: in expressions that don't have any transposing, the condition is
+// known at compile time to be false, and using that, we can avoid generating the code of the assert again
+// and again for all these expressions that don't need it.
+
+template<typename Derived, typename OtherDerived,
+         bool MightHaveTransposeAliasing
+                 = check_transpose_aliasing_compile_time_selector
+                     <blas_traits<Derived>::IsTransposed,OtherDerived>::ret
+        >
+struct checkTransposeAliasing_impl
+{
+    static void run(const Derived& dst, const OtherDerived& other)
+    {
+        eigen_assert((!check_transpose_aliasing_run_time_selector
+                      <typename Derived::Scalar,blas_traits<Derived>::IsTransposed,OtherDerived>
+                      ::run(extract_data(dst), other))
+          && "aliasing detected during transposition, use transposeInPlace() "
+             "or evaluate the rhs into a temporary using .eval()");
+
+    }
+};
+
+template<typename Derived, typename OtherDerived>
+struct checkTransposeAliasing_impl<Derived, OtherDerived, false>
+{
+    static void run(const Derived&, const OtherDerived&)
+    {
+    }
+};
+
+template<typename Dst, typename Src>
+void check_for_aliasing(const Dst &dst, const Src &src)
+{
+  internal::checkTransposeAliasing_impl<Dst, Src>::run(dst, src);
+}
+
+} // end namespace internal
+
+#endif // EIGEN_NO_DEBUG
+
+} // end namespace Eigen
+
+#endif // EIGEN_TRANSPOSE_H
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/DiagonalProduct.h
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/DiagonalProduct.h	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/DiagonalProduct.h	(revision 3761)
@@ -0,0 +1,28 @@
+// This file is part of Eigen, a lightweight C++ template library
+// for linear algebra.
+//
+// Copyright (C) 2008 Gael Guennebaud <gael.guennebaud@inria.fr>
+// Copyright (C) 2007-2009 Benoit Jacob <jacob.benoit.1@gmail.com>
+//
+// This Source Code Form is subject to the terms of the Mozilla
+// Public License v. 2.0. If a copy of the MPL was not distributed
+// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
+
+#ifndef EIGEN_DIAGONALPRODUCT_H
+#define EIGEN_DIAGONALPRODUCT_H
+
+namespace Eigen { 
+
+/** \returns the diagonal matrix product of \c *this by the diagonal matrix \a diagonal.
+  */
+template<typename Derived>
+template<typename DiagonalDerived>
+inline const Product<Derived, DiagonalDerived, LazyProduct>
+MatrixBase<Derived>::operator*(const DiagonalBase<DiagonalDerived> &a_diagonal) const
+{
+  return Product<Derived, DiagonalDerived, LazyProduct>(derived(),a_diagonal.derived());
+}
+
+} // end namespace Eigen
+
+#endif // EIGEN_DIAGONALPRODUCT_H
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h	(revision 3761)
@@ -0,0 +1,681 @@
+// This file is part of Eigen, a lightweight C++ template library
+// for linear algebra.
+//
+// Copyright (C) 2006-2010 Benoit Jacob <jacob.benoit.1@gmail.com>
+//
+// This Source Code Form is subject to the terms of the Mozilla
+// Public License v. 2.0. If a copy of the MPL was not distributed
+// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
+
+#ifndef EIGEN_DENSECOEFFSBASE_H
+#define EIGEN_DENSECOEFFSBASE_H
+
+namespace Eigen {
+
+namespace internal {
+template<typename T> struct add_const_on_value_type_if_arithmetic
+{
+  typedef typename conditional<is_arithmetic<T>::value, T, typename add_const_on_value_type<T>::type>::type type;
+};
+}
+
+/** \brief Base class providing read-only coefficient access to matrices and arrays.
+  * \ingroup Core_Module
+  * \tparam Derived Type of the derived class
+  * \tparam #ReadOnlyAccessors Constant indicating read-only access
+  *
+  * This class defines the \c operator() \c const function and friends, which can be used to read specific
+  * entries of a matrix or array.
+  * 
+  * \sa DenseCoeffsBase<Derived, WriteAccessors>, DenseCoeffsBase<Derived, DirectAccessors>,
+  *     \ref TopicClassHierarchy
+  */
+template<typename Derived>
+class DenseCoeffsBase<Derived,ReadOnlyAccessors> : public EigenBase<Derived>
+{
+  public:
+    typedef typename internal::traits<Derived>::StorageKind StorageKind;
+    typedef typename internal::traits<Derived>::Scalar Scalar;
+    typedef typename internal::packet_traits<Scalar>::type PacketScalar;
+
+    // Explanation for this CoeffReturnType typedef.
+    // - This is the return type of the coeff() method.
+    // - The LvalueBit means exactly that we can offer a coeffRef() method, which means exactly that we can get references
+    // to coeffs, which means exactly that we can have coeff() return a const reference (as opposed to returning a value).
+    // - The is_artihmetic check is required since "const int", "const double", etc. will cause warnings on some systems
+    // while the declaration of "const T", where T is a non arithmetic type does not. Always returning "const Scalar&" is
+    // not possible, since the underlying expressions might not offer a valid address the reference could be referring to.
+    typedef typename internal::conditional<bool(internal::traits<Derived>::Flags&LvalueBit),
+                         const Scalar&,
+                         typename internal::conditional<internal::is_arithmetic<Scalar>::value, Scalar, const Scalar>::type
+                     >::type CoeffReturnType;
+
+    typedef typename internal::add_const_on_value_type_if_arithmetic<
+                         typename internal::packet_traits<Scalar>::type
+                     >::type PacketReturnType;
+
+    typedef EigenBase<Derived> Base;
+    using Base::rows;
+    using Base::cols;
+    using Base::size;
+    using Base::derived;
+
+    EIGEN_DEVICE_FUNC
+    EIGEN_STRONG_INLINE Index rowIndexByOuterInner(Index outer, Index inner) const
+    {
+      return int(Derived::RowsAtCompileTime) == 1 ? 0
+          : int(Derived::ColsAtCompileTime) == 1 ? inner
+          : int(Derived::Flags)&RowMajorBit ? outer
+          : inner;
+    }
+
+    EIGEN_DEVICE_FUNC
+    EIGEN_STRONG_INLINE Index colIndexByOuterInner(Index outer, Index inner) const
+    {
+      return int(Derived::ColsAtCompileTime) == 1 ? 0
+          : int(Derived::RowsAtCompileTime) == 1 ? inner
+          : int(Derived::Flags)&RowMajorBit ? inner
+          : outer;
+    }
+
+    /** Short version: don't use this function, use
+      * \link operator()(Index,Index) const \endlink instead.
+      *
+      * Long version: this function is similar to
+      * \link operator()(Index,Index) const \endlink, but without the assertion.
+      * Use this for limiting the performance cost of debugging code when doing
+      * repeated coefficient access. Only use this when it is guaranteed that the
+      * parameters \a row and \a col are in range.
+      *
+      * If EIGEN_INTERNAL_DEBUGGING is defined, an assertion will be made, making this
+      * function equivalent to \link operator()(Index,Index) const \endlink.
+      *
+      * \sa operator()(Index,Index) const, coeffRef(Index,Index), coeff(Index) const
+      */
+    EIGEN_DEVICE_FUNC
+    EIGEN_STRONG_INLINE CoeffReturnType coeff(Index row, Index col) const
+    {
+      eigen_internal_assert(row >= 0 && row < rows()
+                         && col >= 0 && col < cols());
+      return internal::evaluator<Derived>(derived()).coeff(row,col);
+    }
+
+    EIGEN_DEVICE_FUNC
+    EIGEN_STRONG_INLINE CoeffReturnType coeffByOuterInner(Index outer, Index inner) const
+    {
+      return coeff(rowIndexByOuterInner(outer, inner),
+                   colIndexByOuterInner(outer, inner));
+    }
+
+    /** \returns the coefficient at given the given row and column.
+      *
+      * \sa operator()(Index,Index), operator[](Index)
+      */
+    EIGEN_DEVICE_FUNC
+    EIGEN_STRONG_INLINE CoeffReturnType operator()(Index row, Index col) const
+    {
+      eigen_assert(row >= 0 && row < rows()
+          && col >= 0 && col < cols());
+      return coeff(row, col);
+    }
+
+    /** Short version: don't use this function, use
+      * \link operator[](Index) const \endlink instead.
+      *
+      * Long version: this function is similar to
+      * \link operator[](Index) const \endlink, but without the assertion.
+      * Use this for limiting the performance cost of debugging code when doing
+      * repeated coefficient access. Only use this when it is guaranteed that the
+      * parameter \a index is in range.
+      *
+      * If EIGEN_INTERNAL_DEBUGGING is defined, an assertion will be made, making this
+      * function equivalent to \link operator[](Index) const \endlink.
+      *
+      * \sa operator[](Index) const, coeffRef(Index), coeff(Index,Index) const
+      */
+
+    EIGEN_DEVICE_FUNC
+    EIGEN_STRONG_INLINE CoeffReturnType
+    coeff(Index index) const
+    {
+      EIGEN_STATIC_ASSERT(internal::evaluator<Derived>::Flags & LinearAccessBit,
+                          THIS_COEFFICIENT_ACCESSOR_TAKING_ONE_ACCESS_IS_ONLY_FOR_EXPRESSIONS_ALLOWING_LINEAR_ACCESS)
+      eigen_internal_assert(index >= 0 && index < size());
+      return internal::evaluator<Derived>(derived()).coeff(index);
+    }
+
+
+    /** \returns the coefficient at given index.
+      *
+      * This method is allowed only for vector expressions, and for matrix expressions having the LinearAccessBit.
+      *
+      * \sa operator[](Index), operator()(Index,Index) const, x() const, y() const,
+      * z() const, w() const
+      */
+
+    EIGEN_DEVICE_FUNC
+    EIGEN_STRONG_INLINE CoeffReturnType
+    operator[](Index index) const
+    {
+      EIGEN_STATIC_ASSERT(Derived::IsVectorAtCompileTime,
+                          THE_BRACKET_OPERATOR_IS_ONLY_FOR_VECTORS__USE_THE_PARENTHESIS_OPERATOR_INSTEAD)
+      eigen_assert(index >= 0 && index < size());
+      return coeff(index);
+    }
+
+    /** \returns the coefficient at given index.
+      *
+      * This is synonymous to operator[](Index) const.
+      *
+      * This method is allowed only for vector expressions, and for matrix expressions having the LinearAccessBit.
+      *
+      * \sa operator[](Index), operator()(Index,Index) const, x() const, y() const,
+      * z() const, w() const
+      */
+
+    EIGEN_DEVICE_FUNC
+    EIGEN_STRONG_INLINE CoeffReturnType
+    operator()(Index index) const
+    {
+      eigen_assert(index >= 0 && index < size());
+      return coeff(index);
+    }
+
+    /** equivalent to operator[](0).  */
+
+    EIGEN_DEVICE_FUNC
+    EIGEN_STRONG_INLINE CoeffReturnType
+    x() const { return (*this)[0]; }
+
+    /** equivalent to operator[](1).  */
+
+    EIGEN_DEVICE_FUNC
+    EIGEN_STRONG_INLINE CoeffReturnType
+    y() const
+    {
+      EIGEN_STATIC_ASSERT(Derived::SizeAtCompileTime==-1 || Derived::SizeAtCompileTime>=2, OUT_OF_RANGE_ACCESS);
+      return (*this)[1];
+    }
+
+    /** equivalent to operator[](2).  */
+
+    EIGEN_DEVICE_FUNC
+    EIGEN_STRONG_INLINE CoeffReturnType
+    z() const
+    {
+      EIGEN_STATIC_ASSERT(Derived::SizeAtCompileTime==-1 || Derived::SizeAtCompileTime>=3, OUT_OF_RANGE_ACCESS);
+      return (*this)[2];
+    }
+
+    /** equivalent to operator[](3).  */
+
+    EIGEN_DEVICE_FUNC
+    EIGEN_STRONG_INLINE CoeffReturnType
+    w() const
+    {
+      EIGEN_STATIC_ASSERT(Derived::SizeAtCompileTime==-1 || Derived::SizeAtCompileTime>=4, OUT_OF_RANGE_ACCESS);
+      return (*this)[3];
+    }
+
+    /** \internal
+      * \returns the packet of coefficients starting at the given row and column. It is your responsibility
+      * to ensure that a packet really starts there. This method is only available on expressions having the
+      * PacketAccessBit.
+      *
+      * The \a LoadMode parameter may have the value \a #Aligned or \a #Unaligned. Its effect is to select
+      * the appropriate vectorization instruction. Aligned access is faster, but is only possible for packets
+      * starting at an address which is a multiple of the packet size.
+      */
+
+    template<int LoadMode>
+    EIGEN_STRONG_INLINE PacketReturnType packet(Index row, Index col) const
+    {
+      typedef typename internal::packet_traits<Scalar>::type DefaultPacketType;
+      eigen_internal_assert(row >= 0 && row < rows() && col >= 0 && col < cols());
+      return internal::evaluator<Derived>(derived()).template packet<LoadMode,DefaultPacketType>(row,col);
+    }
+
+
+    /** \internal */
+    template<int LoadMode>
+    EIGEN_STRONG_INLINE PacketReturnType packetByOuterInner(Index outer, Index inner) const
+    {
+      return packet<LoadMode>(rowIndexByOuterInner(outer, inner),
+                              colIndexByOuterInner(outer, inner));
+    }
+
+    /** \internal
+      * \returns the packet of coefficients starting at the given index. It is your responsibility
+      * to ensure that a packet really starts there. This method is only available on expressions having the
+      * PacketAccessBit and the LinearAccessBit.
+      *
+      * The \a LoadMode parameter may have the value \a #Aligned or \a #Unaligned. Its effect is to select
+      * the appropriate vectorization instruction. Aligned access is faster, but is only possible for packets
+      * starting at an address which is a multiple of the packet size.
+      */
+
+    template<int LoadMode>
+    EIGEN_STRONG_INLINE PacketReturnType packet(Index index) const
+    {
+      EIGEN_STATIC_ASSERT(internal::evaluator<Derived>::Flags & LinearAccessBit,
+                          THIS_COEFFICIENT_ACCESSOR_TAKING_ONE_ACCESS_IS_ONLY_FOR_EXPRESSIONS_ALLOWING_LINEAR_ACCESS)
+      typedef typename internal::packet_traits<Scalar>::type DefaultPacketType;
+      eigen_internal_assert(index >= 0 && index < size());
+      return internal::evaluator<Derived>(derived()).template packet<LoadMode,DefaultPacketType>(index);
+    }
+
+  protected:
+    // explanation: DenseBase is doing "using ..." on the methods from DenseCoeffsBase.
+    // But some methods are only available in the DirectAccess case.
+    // So we add dummy methods here with these names, so that "using... " doesn't fail.
+    // It's not private so that the child class DenseBase can access them, and it's not public
+    // either since it's an implementation detail, so has to be protected.
+    void coeffRef();
+    void coeffRefByOuterInner();
+    void writePacket();
+    void writePacketByOuterInner();
+    void copyCoeff();
+    void copyCoeffByOuterInner();
+    void copyPacket();
+    void copyPacketByOuterInner();
+    void stride();
+    void innerStride();
+    void outerStride();
+    void rowStride();
+    void colStride();
+};
+
+/** \brief Base class providing read/write coefficient access to matrices and arrays.
+  * \ingroup Core_Module
+  * \tparam Derived Type of the derived class
+  * \tparam #WriteAccessors Constant indicating read/write access
+  *
+  * This class defines the non-const \c operator() function and friends, which can be used to write specific
+  * entries of a matrix or array. This class inherits DenseCoeffsBase<Derived, ReadOnlyAccessors> which
+  * defines the const variant for reading specific entries.
+  * 
+  * \sa DenseCoeffsBase<Derived, DirectAccessors>, \ref TopicClassHierarchy
+  */
+template<typename Derived>
+class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
+{
+  public:
+
+    typedef DenseCoeffsBase<Derived, ReadOnlyAccessors> Base;
+
+    typedef typename internal::traits<Derived>::StorageKind StorageKind;
+    typedef typename internal::traits<Derived>::Scalar Scalar;
+    typedef typename internal::packet_traits<Scalar>::type PacketScalar;
+    typedef typename NumTraits<Scalar>::Real RealScalar;
+
+    using Base::coeff;
+    using Base::rows;
+    using Base::cols;
+    using Base::size;
+    using Base::derived;
+    using Base::rowIndexByOuterInner;
+    using Base::colIndexByOuterInner;
+    using Base::operator[];
+    using Base::operator();
+    using Base::x;
+    using Base::y;
+    using Base::z;
+    using Base::w;
+
+    /** Short version: don't use this function, use
+      * \link operator()(Index,Index) \endlink instead.
+      *
+      * Long version: this function is similar to
+      * \link operator()(Index,Index) \endlink, but without the assertion.
+      * Use this for limiting the performance cost of debugging code when doing
+      * repeated coefficient access. Only use this when it is guaranteed that the
+      * parameters \a row and \a col are in range.
+      *
+      * If EIGEN_INTERNAL_DEBUGGING is defined, an assertion will be made, making this
+      * function equivalent to \link operator()(Index,Index) \endlink.
+      *
+      * \sa operator()(Index,Index), coeff(Index, Index) const, coeffRef(Index)
+      */
+    EIGEN_DEVICE_FUNC
+    EIGEN_STRONG_INLINE Scalar& coeffRef(Index row, Index col)
+    {
+      eigen_internal_assert(row >= 0 && row < rows()
+                         && col >= 0 && col < cols());
+      return internal::evaluator<Derived>(derived()).coeffRef(row,col);
+    }
+
+    EIGEN_DEVICE_FUNC
+    EIGEN_STRONG_INLINE Scalar&
+    coeffRefByOuterInner(Index outer, Index inner)
+    {
+      return coeffRef(rowIndexByOuterInner(outer, inner),
+                      colIndexByOuterInner(outer, inner));
+    }
+
+    /** \returns a reference to the coefficient at given the given row and column.
+      *
+      * \sa operator[](Index)
+      */
+
+    EIGEN_DEVICE_FUNC
+    EIGEN_STRONG_INLINE Scalar&
+    operator()(Index row, Index col)
+    {
+      eigen_assert(row >= 0 && row < rows()
+          && col >= 0 && col < cols());
+      return coeffRef(row, col);
+    }
+
+
+    /** Short version: don't use this function, use
+      * \link operator[](Index) \endlink instead.
+      *
+      * Long version: this function is similar to
+      * \link operator[](Index) \endlink, but without the assertion.
+      * Use this for limiting the performance cost of debugging code when doing
+      * repeated coefficient access. Only use this when it is guaranteed that the
+      * parameters \a row and \a col are in range.
+      *
+      * If EIGEN_INTERNAL_DEBUGGING is defined, an assertion will be made, making this
+      * function equivalent to \link operator[](Index) \endlink.
+      *
+      * \sa operator[](Index), coeff(Index) const, coeffRef(Index,Index)
+      */
+
+    EIGEN_DEVICE_FUNC
+    EIGEN_STRONG_INLINE Scalar&
+    coeffRef(Index index)
+    {
+      EIGEN_STATIC_ASSERT(internal::evaluator<Derived>::Flags & LinearAccessBit,
+                          THIS_COEFFICIENT_ACCESSOR_TAKING_ONE_ACCESS_IS_ONLY_FOR_EXPRESSIONS_ALLOWING_LINEAR_ACCESS)
+      eigen_internal_assert(index >= 0 && index < size());
+      return internal::evaluator<Derived>(derived()).coeffRef(index);
+    }
+
+    /** \returns a reference to the coefficient at given index.
+      *
+      * This method is allowed only for vector expressions, and for matrix expressions having the LinearAccessBit.
+      *
+      * \sa operator[](Index) const, operator()(Index,Index), x(), y(), z(), w()
+      */
+
+    EIGEN_DEVICE_FUNC
+    EIGEN_STRONG_INLINE Scalar&
+    operator[](Index index)
+    {
+      EIGEN_STATIC_ASSERT(Derived::IsVectorAtCompileTime,
+                          THE_BRACKET_OPERATOR_IS_ONLY_FOR_VECTORS__USE_THE_PARENTHESIS_OPERATOR_INSTEAD)
+      eigen_assert(index >= 0 && index < size());
+      return coeffRef(index);
+    }
+
+    /** \returns a reference to the coefficient at given index.
+      *
+      * This is synonymous to operator[](Index).
+      *
+      * This method is allowed only for vector expressions, and for matrix expressions having the LinearAccessBit.
+      *
+      * \sa operator[](Index) const, operator()(Index,Index), x(), y(), z(), w()
+      */
+
+    EIGEN_DEVICE_FUNC
+    EIGEN_STRONG_INLINE Scalar&
+    operator()(Index index)
+    {
+      eigen_assert(index >= 0 && index < size());
+      return coeffRef(index);
+    }
+
+    /** equivalent to operator[](0).  */
+
+    EIGEN_DEVICE_FUNC
+    EIGEN_STRONG_INLINE Scalar&
+    x() { return (*this)[0]; }
+
+    /** equivalent to operator[](1).  */
+
+    EIGEN_DEVICE_FUNC
+    EIGEN_STRONG_INLINE Scalar&
+    y()
+    {
+      EIGEN_STATIC_ASSERT(Derived::SizeAtCompileTime==-1 || Derived::SizeAtCompileTime>=2, OUT_OF_RANGE_ACCESS);
+      return (*this)[1];
+    }
+
+    /** equivalent to operator[](2).  */
+
+    EIGEN_DEVICE_FUNC
+    EIGEN_STRONG_INLINE Scalar&
+    z()
+    {
+      EIGEN_STATIC_ASSERT(Derived::SizeAtCompileTime==-1 || Derived::SizeAtCompileTime>=3, OUT_OF_RANGE_ACCESS);
+      return (*this)[2];
+    }
+
+    /** equivalent to operator[](3).  */
+
+    EIGEN_DEVICE_FUNC
+    EIGEN_STRONG_INLINE Scalar&
+    w()
+    {
+      EIGEN_STATIC_ASSERT(Derived::SizeAtCompileTime==-1 || Derived::SizeAtCompileTime>=4, OUT_OF_RANGE_ACCESS);
+      return (*this)[3];
+    }
+};
+
+/** \brief Base class providing direct read-only coefficient access to matrices and arrays.
+  * \ingroup Core_Module
+  * \tparam Derived Type of the derived class
+  * \tparam #DirectAccessors Constant indicating direct access
+  *
+  * This class defines functions to work with strides which can be used to access entries directly. This class
+  * inherits DenseCoeffsBase<Derived, ReadOnlyAccessors> which defines functions to access entries read-only using
+  * \c operator() .
+  *
+  * \sa \blank \ref TopicClassHierarchy
+  */
+template<typename Derived>
+class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
+{
+  public:
+
+    typedef DenseCoeffsBase<Derived, ReadOnlyAccessors> Base;
+    typedef typename internal::traits<Derived>::Scalar Scalar;
+    typedef typename NumTraits<Scalar>::Real RealScalar;
+
+    using Base::rows;
+    using Base::cols;
+    using Base::size;
+    using Base::derived;
+
+    /** \returns the pointer increment between two consecutive elements within a slice in the inner direction.
+      *
+      * \sa outerStride(), rowStride(), colStride()
+      */
+    EIGEN_DEVICE_FUNC
+    inline Index innerStride() const
+    {
+      return derived().innerStride();
+    }
+
+    /** \returns the pointer increment between two consecutive inner slices (for example, between two consecutive columns
+      *          in a column-major matrix).
+      *
+      * \sa innerStride(), rowStride(), colStride()
+      */
+    EIGEN_DEVICE_FUNC
+    inline Index outerStride() const
+    {
+      return derived().outerStride();
+    }
+
+    // FIXME shall we remove it ?
+    inline Index stride() const
+    {
+      return Derived::IsVectorAtCompileTime ? innerStride() : outerStride();
+    }
+
+    /** \returns the pointer increment between two consecutive rows.
+      *
+      * \sa innerStride(), outerStride(), colStride()
+      */
+    EIGEN_DEVICE_FUNC
+    inline Index rowStride() const
+    {
+      return Derived::IsRowMajor ? outerStride() : innerStride();
+    }
+
+    /** \returns the pointer increment between two consecutive columns.
+      *
+      * \sa innerStride(), outerStride(), rowStride()
+      */
+    EIGEN_DEVICE_FUNC
+    inline Index colStride() const
+    {
+      return Derived::IsRowMajor ? innerStride() : outerStride();
+    }
+};
+
+/** \brief Base class providing direct read/write coefficient access to matrices and arrays.
+  * \ingroup Core_Module
+  * \tparam Derived Type of the derived class
+  * \tparam #DirectWriteAccessors Constant indicating direct access
+  *
+  * This class defines functions to work with strides which can be used to access entries directly. This class
+  * inherits DenseCoeffsBase<Derived, WriteAccessors> which defines functions to access entries read/write using
+  * \c operator().
+  *
+  * \sa \blank \ref TopicClassHierarchy
+  */
+template<typename Derived>
+class DenseCoeffsBase<Derived, DirectWriteAccessors>
+  : public DenseCoeffsBase<Derived, WriteAccessors>
+{
+  public:
+
+    typedef DenseCoeffsBase<Derived, WriteAccessors> Base;
+    typedef typename internal::traits<Derived>::Scalar Scalar;
+    typedef typename NumTraits<Scalar>::Real RealScalar;
+
+    using Base::rows;
+    using Base::cols;
+    using Base::size;
+    using Base::derived;
+
+    /** \returns the pointer increment between two consecutive elements within a slice in the inner direction.
+      *
+      * \sa outerStride(), rowStride(), colStride()
+      */
+    EIGEN_DEVICE_FUNC
+    inline Index innerStride() const
+    {
+      return derived().innerStride();
+    }
+
+    /** \returns the pointer increment between two consecutive inner slices (for example, between two consecutive columns
+      *          in a column-major matrix).
+      *
+      * \sa innerStride(), rowStride(), colStride()
+      */
+    EIGEN_DEVICE_FUNC
+    inline Index outerStride() const
+    {
+      return derived().outerStride();
+    }
+
+    // FIXME shall we remove it ?
+    inline Index stride() const
+    {
+      return Derived::IsVectorAtCompileTime ? innerStride() : outerStride();
+    }
+
+    /** \returns the pointer increment between two consecutive rows.
+      *
+      * \sa innerStride(), outerStride(), colStride()
+      */
+    EIGEN_DEVICE_FUNC
+    inline Index rowStride() const
+    {
+      return Derived::IsRowMajor ? outerStride() : innerStride();
+    }
+
+    /** \returns the pointer increment between two consecutive columns.
+      *
+      * \sa innerStride(), outerStride(), rowStride()
+      */
+    EIGEN_DEVICE_FUNC
+    inline Index colStride() const
+    {
+      return Derived::IsRowMajor ? innerStride() : outerStride();
+    }
+};
+
+namespace internal {
+
+template<int Alignment, typename Derived, bool JustReturnZero>
+struct first_aligned_impl
+{
+  static inline Index run(const Derived&)
+  { return 0; }
+};
+
+template<int Alignment, typename Derived>
+struct first_aligned_impl<Alignment, Derived, false>
+{
+  static inline Index run(const Derived& m)
+  {
+    return internal::first_aligned<Alignment>(m.data(), m.size());
+  }
+};
+
+/** \internal \returns the index of the first element of the array stored by \a m that is properly aligned with respect to \a Alignment for vectorization.
+  *
+  * \tparam Alignment requested alignment in Bytes.
+  *
+  * There is also the variant first_aligned(const Scalar*, Integer) defined in Memory.h. See it for more
+  * documentation.
+  */
+template<int Alignment, typename Derived>
+static inline Index first_aligned(const DenseBase<Derived>& m)
+{
+  enum { ReturnZero = (int(evaluator<Derived>::Alignment) >= Alignment) || !(Derived::Flags & DirectAccessBit) };
+  return first_aligned_impl<Alignment, Derived, ReturnZero>::run(m.derived());
+}
+
+template<typename Derived>
+static inline Index first_default_aligned(const DenseBase<Derived>& m)
+{
+  typedef typename Derived::Scalar Scalar;
+  typedef typename packet_traits<Scalar>::type DefaultPacketType;
+  return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
+}
+
+template<typename Derived, bool HasDirectAccess = has_direct_access<Derived>::ret>
+struct inner_stride_at_compile_time
+{
+  enum { ret = traits<Derived>::InnerStrideAtCompileTime };
+};
+
+template<typename Derived>
+struct inner_stride_at_compile_time<Derived, false>
+{
+  enum { ret = 0 };
+};
+
+template<typename Derived, bool HasDirectAccess = has_direct_access<Derived>::ret>
+struct outer_stride_at_compile_time
+{
+  enum { ret = traits<Derived>::OuterStrideAtCompileTime };
+};
+
+template<typename Derived>
+struct outer_stride_at_compile_time<Derived, false>
+{
+  enum { ret = 0 };
+};
+
+} // end namespace internal
+
+} // end namespace Eigen
+
+#endif // EIGEN_DENSECOEFFSBASE_H
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/Random.h
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/Random.h	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/Random.h	(revision 3761)
@@ -0,0 +1,182 @@
+// This file is part of Eigen, a lightweight C++ template library
+// for linear algebra.
+//
+// Copyright (C) 2008 Gael Guennebaud <gael.guennebaud@inria.fr>
+//
+// This Source Code Form is subject to the terms of the Mozilla
+// Public License v. 2.0. If a copy of the MPL was not distributed
+// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
+
+#ifndef EIGEN_RANDOM_H
+#define EIGEN_RANDOM_H
+
+namespace Eigen { 
+
+namespace internal {
+
+template<typename Scalar> struct scalar_random_op {
+  EIGEN_EMPTY_STRUCT_CTOR(scalar_random_op)
+  inline const Scalar operator() () const { return random<Scalar>(); }
+};
+
+template<typename Scalar>
+struct functor_traits<scalar_random_op<Scalar> >
+{ enum { Cost = 5 * NumTraits<Scalar>::MulCost, PacketAccess = false, IsRepeatable = false }; };
+
+} // end namespace internal
+
+/** \returns a random matrix expression
+  *
+  * Numbers are uniformly spread through their whole definition range for integer types,
+  * and in the [-1:1] range for floating point scalar types.
+  * 
+  * The parameters \a rows and \a cols are the number of rows and of columns of
+  * the returned matrix. Must be compatible with this MatrixBase type.
+  *
+  * \not_reentrant
+  * 
+  * This variant is meant to be used for dynamic-size matrix types. For fixed-size types,
+  * it is redundant to pass \a rows and \a cols as arguments, so Random() should be used
+  * instead.
+  * 
+  *
+  * Example: \include MatrixBase_random_int_int.cpp
+  * Output: \verbinclude MatrixBase_random_int_int.out
+  *
+  * This expression has the "evaluate before nesting" flag so that it will be evaluated into
+  * a temporary matrix whenever it is nested in a larger expression. This prevents unexpected
+  * behavior with expressions involving random matrices.
+  * 
+  * See DenseBase::NullaryExpr(Index, const CustomNullaryOp&) for an example using C++11 random generators.
+  *
+  * \sa DenseBase::setRandom(), DenseBase::Random(Index), DenseBase::Random()
+  */
+template<typename Derived>
+inline const typename DenseBase<Derived>::RandomReturnType
+DenseBase<Derived>::Random(Index rows, Index cols)
+{
+  return NullaryExpr(rows, cols, internal::scalar_random_op<Scalar>());
+}
+
+/** \returns a random vector expression
+  *
+  * Numbers are uniformly spread through their whole definition range for integer types,
+  * and in the [-1:1] range for floating point scalar types.
+  *
+  * The parameter \a size is the size of the returned vector.
+  * Must be compatible with this MatrixBase type.
+  *
+  * \only_for_vectors
+  * \not_reentrant
+  *
+  * This variant is meant to be used for dynamic-size vector types. For fixed-size types,
+  * it is redundant to pass \a size as argument, so Random() should be used
+  * instead.
+  *
+  * Example: \include MatrixBase_random_int.cpp
+  * Output: \verbinclude MatrixBase_random_int.out
+  *
+  * This expression has the "evaluate before nesting" flag so that it will be evaluated into
+  * a temporary vector whenever it is nested in a larger expression. This prevents unexpected
+  * behavior with expressions involving random matrices.
+  *
+  * \sa DenseBase::setRandom(), DenseBase::Random(Index,Index), DenseBase::Random()
+  */
+template<typename Derived>
+inline const typename DenseBase<Derived>::RandomReturnType
+DenseBase<Derived>::Random(Index size)
+{
+  return NullaryExpr(size, internal::scalar_random_op<Scalar>());
+}
+
+/** \returns a fixed-size random matrix or vector expression
+  *
+  * Numbers are uniformly spread through their whole definition range for integer types,
+  * and in the [-1:1] range for floating point scalar types.
+  * 
+  * This variant is only for fixed-size MatrixBase types. For dynamic-size types, you
+  * need to use the variants taking size arguments.
+  *
+  * Example: \include MatrixBase_random.cpp
+  * Output: \verbinclude MatrixBase_random.out
+  *
+  * This expression has the "evaluate before nesting" flag so that it will be evaluated into
+  * a temporary matrix whenever it is nested in a larger expression. This prevents unexpected
+  * behavior with expressions involving random matrices.
+  * 
+  * \not_reentrant
+  *
+  * \sa DenseBase::setRandom(), DenseBase::Random(Index,Index), DenseBase::Random(Index)
+  */
+template<typename Derived>
+inline const typename DenseBase<Derived>::RandomReturnType
+DenseBase<Derived>::Random()
+{
+  return NullaryExpr(RowsAtCompileTime, ColsAtCompileTime, internal::scalar_random_op<Scalar>());
+}
+
+/** Sets all coefficients in this expression to random values.
+  *
+  * Numbers are uniformly spread through their whole definition range for integer types,
+  * and in the [-1:1] range for floating point scalar types.
+  * 
+  * \not_reentrant
+  * 
+  * Example: \include MatrixBase_setRandom.cpp
+  * Output: \verbinclude MatrixBase_setRandom.out
+  *
+  * \sa class CwiseNullaryOp, setRandom(Index), setRandom(Index,Index)
+  */
+template<typename Derived>
+inline Derived& DenseBase<Derived>::setRandom()
+{
+  return *this = Random(rows(), cols());
+}
+
+/** Resizes to the given \a newSize, and sets all coefficients in this expression to random values.
+  *
+  * Numbers are uniformly spread through their whole definition range for integer types,
+  * and in the [-1:1] range for floating point scalar types.
+  * 
+  * \only_for_vectors
+  * \not_reentrant
+  *
+  * Example: \include Matrix_setRandom_int.cpp
+  * Output: \verbinclude Matrix_setRandom_int.out
+  *
+  * \sa DenseBase::setRandom(), setRandom(Index,Index), class CwiseNullaryOp, DenseBase::Random()
+  */
+template<typename Derived>
+EIGEN_STRONG_INLINE Derived&
+PlainObjectBase<Derived>::setRandom(Index newSize)
+{
+  resize(newSize);
+  return setRandom();
+}
+
+/** Resizes to the given size, and sets all coefficients in this expression to random values.
+  *
+  * Numbers are uniformly spread through their whole definition range for integer types,
+  * and in the [-1:1] range for floating point scalar types.
+  *
+  * \not_reentrant
+  * 
+  * \param rows the new number of rows
+  * \param cols the new number of columns
+  *
+  * Example: \include Matrix_setRandom_int_int.cpp
+  * Output: \verbinclude Matrix_setRandom_int_int.out
+  *
+  * \sa DenseBase::setRandom(), setRandom(Index), class CwiseNullaryOp, DenseBase::Random()
+  */
+template<typename Derived>
+EIGEN_STRONG_INLINE Derived&
+PlainObjectBase<Derived>::setRandom(Index rows, Index cols)
+{
+  resize(rows, cols);
+  return setRandom();
+}
+
+} // end namespace Eigen
+
+#endif // EIGEN_RANDOM_H
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h	(revision 3761)
@@ -0,0 +1,235 @@
+// This file is part of Eigen, a lightweight C++ template library
+// for linear algebra.
+//
+// Copyright (C) 2008-2009 Gael Guennebaud <gael.guennebaud@inria.fr>
+//
+// This Source Code Form is subject to the terms of the Mozilla
+// Public License v. 2.0. If a copy of the MPL was not distributed
+// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
+
+#ifndef EIGEN_SOLVETRIANGULAR_H
+#define EIGEN_SOLVETRIANGULAR_H
+
+namespace Eigen { 
+
+namespace internal {
+
+// Forward declarations:
+// The following two routines are implemented in the products/TriangularSolver*.h files
+template<typename LhsScalar, typename RhsScalar, typename Index, int Side, int Mode, bool Conjugate, int StorageOrder>
+struct triangular_solve_vector;
+
+template <typename Scalar, typename Index, int Side, int Mode, bool Conjugate, int TriStorageOrder, int OtherStorageOrder, int OtherInnerStride>
+struct triangular_solve_matrix;
+
+// small helper struct extracting some traits on the underlying solver operation
+template<typename Lhs, typename Rhs, int Side>
+class trsolve_traits
+{
+  private:
+    enum {
+      RhsIsVectorAtCompileTime = (Side==OnTheLeft ? Rhs::ColsAtCompileTime : Rhs::RowsAtCompileTime)==1
+    };
+  public:
+    enum {
+      Unrolling   = (RhsIsVectorAtCompileTime && Rhs::SizeAtCompileTime != Dynamic && Rhs::SizeAtCompileTime <= 8)
+                  ? CompleteUnrolling : NoUnrolling,
+      RhsVectors  = RhsIsVectorAtCompileTime ? 1 : Dynamic
+    };
+};
+
+template<typename Lhs, typename Rhs,
+  int Side, // can be OnTheLeft/OnTheRight
+  int Mode, // can be Upper/Lower | UnitDiag
+  int Unrolling = trsolve_traits<Lhs,Rhs,Side>::Unrolling,
+  int RhsVectors = trsolve_traits<Lhs,Rhs,Side>::RhsVectors
+  >
+struct triangular_solver_selector;
+
+template<typename Lhs, typename Rhs, int Side, int Mode>
+struct triangular_solver_selector<Lhs,Rhs,Side,Mode,NoUnrolling,1>
+{
+  typedef typename Lhs::Scalar LhsScalar;
+  typedef typename Rhs::Scalar RhsScalar;
+  typedef blas_traits<Lhs> LhsProductTraits;
+  typedef typename LhsProductTraits::ExtractType ActualLhsType;
+  typedef Map<Matrix<RhsScalar,Dynamic,1>, Aligned> MappedRhs;
+  static void run(const Lhs& lhs, Rhs& rhs)
+  {
+    ActualLhsType actualLhs = LhsProductTraits::extract(lhs);
+
+    // FIXME find a way to allow an inner stride if packet_traits<Scalar>::size==1
+
+    bool useRhsDirectly = Rhs::InnerStrideAtCompileTime==1 || rhs.innerStride()==1;
+
+    ei_declare_aligned_stack_constructed_variable(RhsScalar,actualRhs,rhs.size(),
+                                                  (useRhsDirectly ? rhs.data() : 0));
+                                                  
+    if(!useRhsDirectly)
+      MappedRhs(actualRhs,rhs.size()) = rhs;
+
+    triangular_solve_vector<LhsScalar, RhsScalar, Index, Side, Mode, LhsProductTraits::NeedToConjugate,
+                            (int(Lhs::Flags) & RowMajorBit) ? RowMajor : ColMajor>
+      ::run(actualLhs.cols(), actualLhs.data(), actualLhs.outerStride(), actualRhs);
+
+    if(!useRhsDirectly)
+      rhs = MappedRhs(actualRhs, rhs.size());
+  }
+};
+
+// the rhs is a matrix
+template<typename Lhs, typename Rhs, int Side, int Mode>
+struct triangular_solver_selector<Lhs,Rhs,Side,Mode,NoUnrolling,Dynamic>
+{
+  typedef typename Rhs::Scalar Scalar;
+  typedef blas_traits<Lhs> LhsProductTraits;
+  typedef typename LhsProductTraits::DirectLinearAccessType ActualLhsType;
+
+  static void run(const Lhs& lhs, Rhs& rhs)
+  {
+    typename internal::add_const_on_value_type<ActualLhsType>::type actualLhs = LhsProductTraits::extract(lhs);
+
+    const Index size = lhs.rows();
+    const Index othersize = Side==OnTheLeft? rhs.cols() : rhs.rows();
+
+    typedef internal::gemm_blocking_space<(Rhs::Flags&RowMajorBit) ? RowMajor : ColMajor,Scalar,Scalar,
+              Rhs::MaxRowsAtCompileTime, Rhs::MaxColsAtCompileTime, Lhs::MaxRowsAtCompileTime,4> BlockingType;
+
+    BlockingType blocking(rhs.rows(), rhs.cols(), size, 1, false);
+
+    triangular_solve_matrix<Scalar,Index,Side,Mode,LhsProductTraits::NeedToConjugate,(int(Lhs::Flags) & RowMajorBit) ? RowMajor : ColMajor,
+                               (Rhs::Flags&RowMajorBit) ? RowMajor : ColMajor, Rhs::InnerStrideAtCompileTime>
+      ::run(size, othersize, &actualLhs.coeffRef(0,0), actualLhs.outerStride(), &rhs.coeffRef(0,0), rhs.innerStride(), rhs.outerStride(), blocking);
+  }
+};
+
+/***************************************************************************
+* meta-unrolling implementation
+***************************************************************************/
+
+template<typename Lhs, typename Rhs, int Mode, int LoopIndex, int Size,
+         bool Stop = LoopIndex==Size>
+struct triangular_solver_unroller;
+
+template<typename Lhs, typename Rhs, int Mode, int LoopIndex, int Size>
+struct triangular_solver_unroller<Lhs,Rhs,Mode,LoopIndex,Size,false> {
+  enum {
+    IsLower = ((Mode&Lower)==Lower),
+    DiagIndex  = IsLower ? LoopIndex : Size - LoopIndex - 1,
+    StartIndex = IsLower ? 0         : DiagIndex+1
+  };
+  static void run(const Lhs& lhs, Rhs& rhs)
+  {
+    if (LoopIndex>0)
+      rhs.coeffRef(DiagIndex) -= lhs.row(DiagIndex).template segment<LoopIndex>(StartIndex).transpose()
+                                .cwiseProduct(rhs.template segment<LoopIndex>(StartIndex)).sum();
+
+    if(!(Mode & UnitDiag))
+      rhs.coeffRef(DiagIndex) /= lhs.coeff(DiagIndex,DiagIndex);
+
+    triangular_solver_unroller<Lhs,Rhs,Mode,LoopIndex+1,Size>::run(lhs,rhs);
+  }
+};
+
+template<typename Lhs, typename Rhs, int Mode, int LoopIndex, int Size>
+struct triangular_solver_unroller<Lhs,Rhs,Mode,LoopIndex,Size,true> {
+  static void run(const Lhs&, Rhs&) {}
+};
+
+template<typename Lhs, typename Rhs, int Mode>
+struct triangular_solver_selector<Lhs,Rhs,OnTheLeft,Mode,CompleteUnrolling,1> {
+  static void run(const Lhs& lhs, Rhs& rhs)
+  { triangular_solver_unroller<Lhs,Rhs,Mode,0,Rhs::SizeAtCompileTime>::run(lhs,rhs); }
+};
+
+template<typename Lhs, typename Rhs, int Mode>
+struct triangular_solver_selector<Lhs,Rhs,OnTheRight,Mode,CompleteUnrolling,1> {
+  static void run(const Lhs& lhs, Rhs& rhs)
+  {
+    Transpose<const Lhs> trLhs(lhs);
+    Transpose<Rhs> trRhs(rhs);
+    
+    triangular_solver_unroller<Transpose<const Lhs>,Transpose<Rhs>,
+                              ((Mode&Upper)==Upper ? Lower : Upper) | (Mode&UnitDiag),
+                              0,Rhs::SizeAtCompileTime>::run(trLhs,trRhs);
+  }
+};
+
+} // end namespace internal
+
+/***************************************************************************
+* TriangularView methods
+***************************************************************************/
+
+#ifndef EIGEN_PARSED_BY_DOXYGEN
+template<typename MatrixType, unsigned int Mode>
+template<int Side, typename OtherDerived>
+void TriangularViewImpl<MatrixType,Mode,Dense>::solveInPlace(const MatrixBase<OtherDerived>& _other) const
+{
+  OtherDerived& other = _other.const_cast_derived();
+  eigen_assert( derived().cols() == derived().rows() && ((Side==OnTheLeft && derived().cols() == other.rows()) || (Side==OnTheRight && derived().cols() == other.cols())) );
+  eigen_assert((!(Mode & ZeroDiag)) && bool(Mode & (Upper|Lower)));
+  // If solving for a 0x0 matrix, nothing to do, simply return.
+  if (derived().cols() == 0)
+    return;
+
+  enum { copy = (internal::traits<OtherDerived>::Flags & RowMajorBit)  && OtherDerived::IsVectorAtCompileTime && OtherDerived::SizeAtCompileTime!=1};
+  typedef typename internal::conditional<copy,
+    typename internal::plain_matrix_type_column_major<OtherDerived>::type, OtherDerived&>::type OtherCopy;
+  OtherCopy otherCopy(other);
+
+  internal::triangular_solver_selector<MatrixType, typename internal::remove_reference<OtherCopy>::type,
+    Side, Mode>::run(derived().nestedExpression(), otherCopy);
+
+  if (copy)
+    other = otherCopy;
+}
+
+template<typename Derived, unsigned int Mode>
+template<int Side, typename Other>
+const internal::triangular_solve_retval<Side,TriangularView<Derived,Mode>,Other>
+TriangularViewImpl<Derived,Mode,Dense>::solve(const MatrixBase<Other>& other) const
+{
+  return internal::triangular_solve_retval<Side,TriangularViewType,Other>(derived(), other.derived());
+}
+#endif
+
+namespace internal {
+
+
+template<int Side, typename TriangularType, typename Rhs>
+struct traits<triangular_solve_retval<Side, TriangularType, Rhs> >
+{
+  typedef typename internal::plain_matrix_type_column_major<Rhs>::type ReturnType;
+};
+
+template<int Side, typename TriangularType, typename Rhs> struct triangular_solve_retval
+ : public ReturnByValue<triangular_solve_retval<Side, TriangularType, Rhs> >
+{
+  typedef typename remove_all<typename Rhs::Nested>::type RhsNestedCleaned;
+  typedef ReturnByValue<triangular_solve_retval> Base;
+
+  triangular_solve_retval(const TriangularType& tri, const Rhs& rhs)
+    : m_triangularMatrix(tri), m_rhs(rhs)
+  {}
+
+  inline Index rows() const { return m_rhs.rows(); }
+  inline Index cols() const { return m_rhs.cols(); }
+
+  template<typename Dest> inline void evalTo(Dest& dst) const
+  {
+    if(!is_same_dense(dst,m_rhs))
+      dst = m_rhs;
+    m_triangularMatrix.template solveInPlace<Side>(dst);
+  }
+
+  protected:
+    const TriangularType& m_triangularMatrix;
+    typename Rhs::Nested m_rhs;
+};
+
+} // namespace internal
+
+} // end namespace Eigen
+
+#endif // EIGEN_SOLVETRIANGULAR_H
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/DenseStorage.h
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/DenseStorage.h	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/DenseStorage.h	(revision 3761)
@@ -0,0 +1,570 @@
+// This file is part of Eigen, a lightweight C++ template library
+// for linear algebra.
+//
+// Copyright (C) 2008 Gael Guennebaud <gael.guennebaud@inria.fr>
+// Copyright (C) 2006-2009 Benoit Jacob <jacob.benoit.1@gmail.com>
+// Copyright (C) 2010-2013 Hauke Heibel <hauke.heibel@gmail.com>
+//
+// This Source Code Form is subject to the terms of the Mozilla
+// Public License v. 2.0. If a copy of the MPL was not distributed
+// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
+
+#ifndef EIGEN_MATRIXSTORAGE_H
+#define EIGEN_MATRIXSTORAGE_H
+
+#ifdef EIGEN_DENSE_STORAGE_CTOR_PLUGIN
+  #define EIGEN_INTERNAL_DENSE_STORAGE_CTOR_PLUGIN(X) X; EIGEN_DENSE_STORAGE_CTOR_PLUGIN;
+#else
+  #define EIGEN_INTERNAL_DENSE_STORAGE_CTOR_PLUGIN(X)
+#endif
+
+namespace Eigen {
+
+namespace internal {
+
+struct constructor_without_unaligned_array_assert {};
+
+template<typename T, int Size>
+EIGEN_DEVICE_FUNC
+void check_static_allocation_size()
+{
+  // if EIGEN_STACK_ALLOCATION_LIMIT is defined to 0, then no limit
+  #if EIGEN_STACK_ALLOCATION_LIMIT
+  EIGEN_STATIC_ASSERT(Size * sizeof(T) <= EIGEN_STACK_ALLOCATION_LIMIT, OBJECT_ALLOCATED_ON_STACK_IS_TOO_BIG);
+  #endif
+}
+
+/** \internal
+  * Static array. If the MatrixOrArrayOptions require auto-alignment, the array will be automatically aligned:
+  * to 16 bytes boundary if the total size is a multiple of 16 bytes.
+  */
+template <typename T, int Size, int MatrixOrArrayOptions,
+          int Alignment = (MatrixOrArrayOptions&DontAlign) ? 0
+                        : compute_default_alignment<T,Size>::value >
+struct plain_array
+{
+  T array[Size];
+
+  EIGEN_DEVICE_FUNC
+  plain_array()
+  { 
+    check_static_allocation_size<T,Size>();
+  }
+
+  EIGEN_DEVICE_FUNC
+  plain_array(constructor_without_unaligned_array_assert)
+  { 
+    check_static_allocation_size<T,Size>();
+  }
+};
+
+#if defined(EIGEN_DISABLE_UNALIGNED_ARRAY_ASSERT)
+  #define EIGEN_MAKE_UNALIGNED_ARRAY_ASSERT(sizemask)
+#elif EIGEN_GNUC_AT_LEAST(4,7) 
+  // GCC 4.7 is too aggressive in its optimizations and remove the alignement test based on the fact the array is declared to be aligned.
+  // See this bug report: http://gcc.gnu.org/bugzilla/show_bug.cgi?id=53900
+  // Hiding the origin of the array pointer behind a function argument seems to do the trick even if the function is inlined:
+  template<typename PtrType>
+  EIGEN_ALWAYS_INLINE PtrType eigen_unaligned_array_assert_workaround_gcc47(PtrType array) { return array; }
+  #define EIGEN_MAKE_UNALIGNED_ARRAY_ASSERT(sizemask) \
+    eigen_assert((internal::UIntPtr(eigen_unaligned_array_assert_workaround_gcc47(array)) & (sizemask)) == 0 \
+              && "this assertion is explained here: " \
+              "http://eigen.tuxfamily.org/dox-devel/group__TopicUnalignedArrayAssert.html" \
+              " **** READ THIS WEB PAGE !!! ****");
+#else
+  #define EIGEN_MAKE_UNALIGNED_ARRAY_ASSERT(sizemask) \
+    eigen_assert((internal::UIntPtr(array) & (sizemask)) == 0 \
+              && "this assertion is explained here: " \
+              "http://eigen.tuxfamily.org/dox-devel/group__TopicUnalignedArrayAssert.html" \
+              " **** READ THIS WEB PAGE !!! ****");
+#endif
+
+template <typename T, int Size, int MatrixOrArrayOptions>
+struct plain_array<T, Size, MatrixOrArrayOptions, 8>
+{
+  EIGEN_ALIGN_TO_BOUNDARY(8) T array[Size];
+
+  EIGEN_DEVICE_FUNC
+  plain_array() 
+  {
+    EIGEN_MAKE_UNALIGNED_ARRAY_ASSERT(7);
+    check_static_allocation_size<T,Size>();
+  }
+
+  EIGEN_DEVICE_FUNC
+  plain_array(constructor_without_unaligned_array_assert) 
+  { 
+    check_static_allocation_size<T,Size>();
+  }
+};
+
+template <typename T, int Size, int MatrixOrArrayOptions>
+struct plain_array<T, Size, MatrixOrArrayOptions, 16>
+{
+  EIGEN_ALIGN_TO_BOUNDARY(16) T array[Size];
+
+  EIGEN_DEVICE_FUNC
+  plain_array() 
+  { 
+    EIGEN_MAKE_UNALIGNED_ARRAY_ASSERT(15);
+    check_static_allocation_size<T,Size>();
+  }
+
+  EIGEN_DEVICE_FUNC
+  plain_array(constructor_without_unaligned_array_assert) 
+  { 
+    check_static_allocation_size<T,Size>();
+  }
+};
+
+template <typename T, int Size, int MatrixOrArrayOptions>
+struct plain_array<T, Size, MatrixOrArrayOptions, 32>
+{
+  EIGEN_ALIGN_TO_BOUNDARY(32) T array[Size];
+
+  EIGEN_DEVICE_FUNC
+  plain_array() 
+  {
+    EIGEN_MAKE_UNALIGNED_ARRAY_ASSERT(31);
+    check_static_allocation_size<T,Size>();
+  }
+
+  EIGEN_DEVICE_FUNC
+  plain_array(constructor_without_unaligned_array_assert) 
+  { 
+    check_static_allocation_size<T,Size>();
+  }
+};
+
+template <typename T, int Size, int MatrixOrArrayOptions>
+struct plain_array<T, Size, MatrixOrArrayOptions, 64>
+{
+  EIGEN_ALIGN_TO_BOUNDARY(64) T array[Size];
+
+  EIGEN_DEVICE_FUNC
+  plain_array() 
+  { 
+    EIGEN_MAKE_UNALIGNED_ARRAY_ASSERT(63);
+    check_static_allocation_size<T,Size>();
+  }
+
+  EIGEN_DEVICE_FUNC
+  plain_array(constructor_without_unaligned_array_assert) 
+  { 
+    check_static_allocation_size<T,Size>();
+  }
+};
+
+template <typename T, int MatrixOrArrayOptions, int Alignment>
+struct plain_array<T, 0, MatrixOrArrayOptions, Alignment>
+{
+  T array[1];
+  EIGEN_DEVICE_FUNC plain_array() {}
+  EIGEN_DEVICE_FUNC plain_array(constructor_without_unaligned_array_assert) {}
+};
+
+} // end namespace internal
+
+/** \internal
+  *
+  * \class DenseStorage
+  * \ingroup Core_Module
+  *
+  * \brief Stores the data of a matrix
+  *
+  * This class stores the data of fixed-size, dynamic-size or mixed matrices
+  * in a way as compact as possible.
+  *
+  * \sa Matrix
+  */
+template<typename T, int Size, int _Rows, int _Cols, int _Options> class DenseStorage;
+
+// purely fixed-size matrix
+template<typename T, int Size, int _Rows, int _Cols, int _Options> class DenseStorage
+{
+    internal::plain_array<T,Size,_Options> m_data;
+  public:
+    EIGEN_DEVICE_FUNC DenseStorage() {
+      EIGEN_INTERNAL_DENSE_STORAGE_CTOR_PLUGIN(Index size = Size)
+    }
+    EIGEN_DEVICE_FUNC
+    explicit DenseStorage(internal::constructor_without_unaligned_array_assert)
+      : m_data(internal::constructor_without_unaligned_array_assert()) {}
+    EIGEN_DEVICE_FUNC 
+    DenseStorage(const DenseStorage& other) : m_data(other.m_data) {
+      EIGEN_INTERNAL_DENSE_STORAGE_CTOR_PLUGIN(Index size = Size)
+    }
+    EIGEN_DEVICE_FUNC 
+    DenseStorage& operator=(const DenseStorage& other)
+    { 
+      if (this != &other) m_data = other.m_data;
+      return *this; 
+    }
+    EIGEN_DEVICE_FUNC DenseStorage(Index size, Index rows, Index cols) {
+      EIGEN_INTERNAL_DENSE_STORAGE_CTOR_PLUGIN({})
+      eigen_internal_assert(size==rows*cols && rows==_Rows && cols==_Cols);
+      EIGEN_UNUSED_VARIABLE(size);
+      EIGEN_UNUSED_VARIABLE(rows);
+      EIGEN_UNUSED_VARIABLE(cols);
+    }
+    EIGEN_DEVICE_FUNC void swap(DenseStorage& other) { std::swap(m_data,other.m_data); }
+    EIGEN_DEVICE_FUNC static Index rows(void) {return _Rows;}
+    EIGEN_DEVICE_FUNC static Index cols(void) {return _Cols;}
+    EIGEN_DEVICE_FUNC void conservativeResize(Index,Index,Index) {}
+    EIGEN_DEVICE_FUNC void resize(Index,Index,Index) {}
+    EIGEN_DEVICE_FUNC const T *data() const { return m_data.array; }
+    EIGEN_DEVICE_FUNC T *data() { return m_data.array; }
+};
+
+// null matrix
+template<typename T, int _Rows, int _Cols, int _Options> class DenseStorage<T, 0, _Rows, _Cols, _Options>
+{
+  public:
+    EIGEN_DEVICE_FUNC DenseStorage() {}
+    EIGEN_DEVICE_FUNC explicit DenseStorage(internal::constructor_without_unaligned_array_assert) {}
+    EIGEN_DEVICE_FUNC DenseStorage(const DenseStorage&) {}
+    EIGEN_DEVICE_FUNC DenseStorage& operator=(const DenseStorage&) { return *this; }
+    EIGEN_DEVICE_FUNC DenseStorage(Index,Index,Index) {}
+    EIGEN_DEVICE_FUNC void swap(DenseStorage& ) {}
+    EIGEN_DEVICE_FUNC static Index rows(void) {return _Rows;}
+    EIGEN_DEVICE_FUNC static Index cols(void) {return _Cols;}
+    EIGEN_DEVICE_FUNC void conservativeResize(Index,Index,Index) {}
+    EIGEN_DEVICE_FUNC void resize(Index,Index,Index) {}
+    EIGEN_DEVICE_FUNC const T *data() const { return 0; }
+    EIGEN_DEVICE_FUNC T *data() { return 0; }
+};
+
+// more specializations for null matrices; these are necessary to resolve ambiguities
+template<typename T, int _Options> class DenseStorage<T, 0, Dynamic, Dynamic, _Options>
+: public DenseStorage<T, 0, 0, 0, _Options> { };
+
+template<typename T, int _Rows, int _Options> class DenseStorage<T, 0, _Rows, Dynamic, _Options>
+: public DenseStorage<T, 0, 0, 0, _Options> { };
+
+template<typename T, int _Cols, int _Options> class DenseStorage<T, 0, Dynamic, _Cols, _Options>
+: public DenseStorage<T, 0, 0, 0, _Options> { };
+
+// dynamic-size matrix with fixed-size storage
+template<typename T, int Size, int _Options> class DenseStorage<T, Size, Dynamic, Dynamic, _Options>
+{
+    internal::plain_array<T,Size,_Options> m_data;
+    Index m_rows;
+    Index m_cols;
+  public:
+    EIGEN_DEVICE_FUNC DenseStorage() : m_rows(0), m_cols(0) {}
+    EIGEN_DEVICE_FUNC explicit DenseStorage(internal::constructor_without_unaligned_array_assert)
+      : m_data(internal::constructor_without_unaligned_array_assert()), m_rows(0), m_cols(0) {}
+    EIGEN_DEVICE_FUNC DenseStorage(const DenseStorage& other) : m_data(other.m_data), m_rows(other.m_rows), m_cols(other.m_cols) {}
+    EIGEN_DEVICE_FUNC DenseStorage& operator=(const DenseStorage& other) 
+    { 
+      if (this != &other)
+      {
+        m_data = other.m_data;
+        m_rows = other.m_rows;
+        m_cols = other.m_cols;
+      }
+      return *this; 
+    }
+    EIGEN_DEVICE_FUNC DenseStorage(Index, Index rows, Index cols) : m_rows(rows), m_cols(cols) {}
+    EIGEN_DEVICE_FUNC void swap(DenseStorage& other)
+    { std::swap(m_data,other.m_data); std::swap(m_rows,other.m_rows); std::swap(m_cols,other.m_cols); }
+    EIGEN_DEVICE_FUNC Index rows() const {return m_rows;}
+    EIGEN_DEVICE_FUNC Index cols() const {return m_cols;}
+    EIGEN_DEVICE_FUNC void conservativeResize(Index, Index rows, Index cols) { m_rows = rows; m_cols = cols; }
+    EIGEN_DEVICE_FUNC void resize(Index, Index rows, Index cols) { m_rows = rows; m_cols = cols; }
+    EIGEN_DEVICE_FUNC const T *data() const { return m_data.array; }
+    EIGEN_DEVICE_FUNC T *data() { return m_data.array; }
+};
+
+// dynamic-size matrix with fixed-size storage and fixed width
+template<typename T, int Size, int _Cols, int _Options> class DenseStorage<T, Size, Dynamic, _Cols, _Options>
+{
+    internal::plain_array<T,Size,_Options> m_data;
+    Index m_rows;
+  public:
+    EIGEN_DEVICE_FUNC DenseStorage() : m_rows(0) {}
+    EIGEN_DEVICE_FUNC explicit DenseStorage(internal::constructor_without_unaligned_array_assert)
+      : m_data(internal::constructor_without_unaligned_array_assert()), m_rows(0) {}
+    EIGEN_DEVICE_FUNC DenseStorage(const DenseStorage& other) : m_data(other.m_data), m_rows(other.m_rows) {}
+    EIGEN_DEVICE_FUNC DenseStorage& operator=(const DenseStorage& other) 
+    {
+      if (this != &other)
+      {
+        m_data = other.m_data;
+        m_rows = other.m_rows;
+      }
+      return *this; 
+    }
+    EIGEN_DEVICE_FUNC DenseStorage(Index, Index rows, Index) : m_rows(rows) {}
+    EIGEN_DEVICE_FUNC void swap(DenseStorage& other) { std::swap(m_data,other.m_data); std::swap(m_rows,other.m_rows); }
+    EIGEN_DEVICE_FUNC Index rows(void) const {return m_rows;}
+    EIGEN_DEVICE_FUNC Index cols(void) const {return _Cols;}
+    EIGEN_DEVICE_FUNC void conservativeResize(Index, Index rows, Index) { m_rows = rows; }
+    EIGEN_DEVICE_FUNC void resize(Index, Index rows, Index) { m_rows = rows; }
+    EIGEN_DEVICE_FUNC const T *data() const { return m_data.array; }
+    EIGEN_DEVICE_FUNC T *data() { return m_data.array; }
+};
+
+// dynamic-size matrix with fixed-size storage and fixed height
+template<typename T, int Size, int _Rows, int _Options> class DenseStorage<T, Size, _Rows, Dynamic, _Options>
+{
+    internal::plain_array<T,Size,_Options> m_data;
+    Index m_cols;
+  public:
+    EIGEN_DEVICE_FUNC DenseStorage() : m_cols(0) {}
+    EIGEN_DEVICE_FUNC explicit DenseStorage(internal::constructor_without_unaligned_array_assert)
+      : m_data(internal::constructor_without_unaligned_array_assert()), m_cols(0) {}
+    EIGEN_DEVICE_FUNC DenseStorage(const DenseStorage& other) : m_data(other.m_data), m_cols(other.m_cols) {}
+    EIGEN_DEVICE_FUNC DenseStorage& operator=(const DenseStorage& other)
+    {
+      if (this != &other)
+      {
+        m_data = other.m_data;
+        m_cols = other.m_cols;
+      }
+      return *this;
+    }
+    EIGEN_DEVICE_FUNC DenseStorage(Index, Index, Index cols) : m_cols(cols) {}
+    EIGEN_DEVICE_FUNC void swap(DenseStorage& other) { std::swap(m_data,other.m_data); std::swap(m_cols,other.m_cols); }
+    EIGEN_DEVICE_FUNC Index rows(void) const {return _Rows;}
+    EIGEN_DEVICE_FUNC Index cols(void) const {return m_cols;}
+    void conservativeResize(Index, Index, Index cols) { m_cols = cols; }
+    void resize(Index, Index, Index cols) { m_cols = cols; }
+    EIGEN_DEVICE_FUNC const T *data() const { return m_data.array; }
+    EIGEN_DEVICE_FUNC T *data() { return m_data.array; }
+};
+
+// purely dynamic matrix.
+template<typename T, int _Options> class DenseStorage<T, Dynamic, Dynamic, Dynamic, _Options>
+{
+    T *m_data;
+    Index m_rows;
+    Index m_cols;
+  public:
+    EIGEN_DEVICE_FUNC DenseStorage() : m_data(0), m_rows(0), m_cols(0) {}
+    EIGEN_DEVICE_FUNC explicit DenseStorage(internal::constructor_without_unaligned_array_assert)
+       : m_data(0), m_rows(0), m_cols(0) {}
+    EIGEN_DEVICE_FUNC DenseStorage(Index size, Index rows, Index cols)
+      : m_data(internal::conditional_aligned_new_auto<T,(_Options&DontAlign)==0>(size)), m_rows(rows), m_cols(cols)
+    {
+      EIGEN_INTERNAL_DENSE_STORAGE_CTOR_PLUGIN({})
+      eigen_internal_assert(size==rows*cols && rows>=0 && cols >=0);
+    }
+    EIGEN_DEVICE_FUNC DenseStorage(const DenseStorage& other)
+      : m_data(internal::conditional_aligned_new_auto<T,(_Options&DontAlign)==0>(other.m_rows*other.m_cols))
+      , m_rows(other.m_rows)
+      , m_cols(other.m_cols)
+    {
+      EIGEN_INTERNAL_DENSE_STORAGE_CTOR_PLUGIN(Index size = m_rows*m_cols)
+      internal::smart_copy(other.m_data, other.m_data+other.m_rows*other.m_cols, m_data);
+    }
+    EIGEN_DEVICE_FUNC DenseStorage& operator=(const DenseStorage& other)
+    {
+      if (this != &other)
+      {
+        DenseStorage tmp(other);
+        this->swap(tmp);
+      }
+      return *this;
+    }
+#if EIGEN_HAS_RVALUE_REFERENCES
+    EIGEN_DEVICE_FUNC
+    DenseStorage(DenseStorage&& other) EIGEN_NOEXCEPT
+      : m_data(std::move(other.m_data))
+      , m_rows(std::move(other.m_rows))
+      , m_cols(std::move(other.m_cols))
+    {
+      other.m_data = nullptr;
+      other.m_rows = 0;
+      other.m_cols = 0;
+    }
+    EIGEN_DEVICE_FUNC
+    DenseStorage& operator=(DenseStorage&& other) EIGEN_NOEXCEPT
+    {
+      using std::swap;
+      swap(m_data, other.m_data);
+      swap(m_rows, other.m_rows);
+      swap(m_cols, other.m_cols);
+      return *this;
+    }
+#endif
+    EIGEN_DEVICE_FUNC ~DenseStorage() { internal::conditional_aligned_delete_auto<T,(_Options&DontAlign)==0>(m_data, m_rows*m_cols); }
+    EIGEN_DEVICE_FUNC void swap(DenseStorage& other)
+    { std::swap(m_data,other.m_data); std::swap(m_rows,other.m_rows); std::swap(m_cols,other.m_cols); }
+    EIGEN_DEVICE_FUNC Index rows(void) const {return m_rows;}
+    EIGEN_DEVICE_FUNC Index cols(void) const {return m_cols;}
+    void conservativeResize(Index size, Index rows, Index cols)
+    {
+      m_data = internal::conditional_aligned_realloc_new_auto<T,(_Options&DontAlign)==0>(m_data, size, m_rows*m_cols);
+      m_rows = rows;
+      m_cols = cols;
+    }
+    EIGEN_DEVICE_FUNC void resize(Index size, Index rows, Index cols)
+    {
+      if(size != m_rows*m_cols)
+      {
+        internal::conditional_aligned_delete_auto<T,(_Options&DontAlign)==0>(m_data, m_rows*m_cols);
+        if (size>0) // >0 and not simply !=0 to let the compiler knows that size cannot be negative
+          m_data = internal::conditional_aligned_new_auto<T,(_Options&DontAlign)==0>(size);
+        else
+          m_data = 0;
+        EIGEN_INTERNAL_DENSE_STORAGE_CTOR_PLUGIN({})
+      }
+      m_rows = rows;
+      m_cols = cols;
+    }
+    EIGEN_DEVICE_FUNC const T *data() const { return m_data; }
+    EIGEN_DEVICE_FUNC T *data() { return m_data; }
+};
+
+// matrix with dynamic width and fixed height (so that matrix has dynamic size).
+template<typename T, int _Rows, int _Options> class DenseStorage<T, Dynamic, _Rows, Dynamic, _Options>
+{
+    T *m_data;
+    Index m_cols;
+  public:
+    EIGEN_DEVICE_FUNC DenseStorage() : m_data(0), m_cols(0) {}
+    explicit DenseStorage(internal::constructor_without_unaligned_array_assert) : m_data(0), m_cols(0) {}
+    EIGEN_DEVICE_FUNC DenseStorage(Index size, Index rows, Index cols) : m_data(internal::conditional_aligned_new_auto<T,(_Options&DontAlign)==0>(size)), m_cols(cols)
+    {
+      EIGEN_INTERNAL_DENSE_STORAGE_CTOR_PLUGIN({})
+      eigen_internal_assert(size==rows*cols && rows==_Rows && cols >=0);
+      EIGEN_UNUSED_VARIABLE(rows);
+    }
+    EIGEN_DEVICE_FUNC DenseStorage(const DenseStorage& other)
+      : m_data(internal::conditional_aligned_new_auto<T,(_Options&DontAlign)==0>(_Rows*other.m_cols))
+      , m_cols(other.m_cols)
+    {
+      EIGEN_INTERNAL_DENSE_STORAGE_CTOR_PLUGIN(Index size = m_cols*_Rows)
+      internal::smart_copy(other.m_data, other.m_data+_Rows*m_cols, m_data);
+    }
+    EIGEN_DEVICE_FUNC DenseStorage& operator=(const DenseStorage& other)
+    {
+      if (this != &other)
+      {
+        DenseStorage tmp(other);
+        this->swap(tmp);
+      }
+      return *this;
+    }    
+#if EIGEN_HAS_RVALUE_REFERENCES
+    EIGEN_DEVICE_FUNC
+    DenseStorage(DenseStorage&& other) EIGEN_NOEXCEPT
+      : m_data(std::move(other.m_data))
+      , m_cols(std::move(other.m_cols))
+    {
+      other.m_data = nullptr;
+      other.m_cols = 0;
+    }
+    EIGEN_DEVICE_FUNC
+    DenseStorage& operator=(DenseStorage&& other) EIGEN_NOEXCEPT
+    {
+      using std::swap;
+      swap(m_data, other.m_data);
+      swap(m_cols, other.m_cols);
+      return *this;
+    }
+#endif
+    EIGEN_DEVICE_FUNC ~DenseStorage() { internal::conditional_aligned_delete_auto<T,(_Options&DontAlign)==0>(m_data, _Rows*m_cols); }
+    EIGEN_DEVICE_FUNC void swap(DenseStorage& other) { std::swap(m_data,other.m_data); std::swap(m_cols,other.m_cols); }
+    EIGEN_DEVICE_FUNC static Index rows(void) {return _Rows;}
+    EIGEN_DEVICE_FUNC Index cols(void) const {return m_cols;}
+    EIGEN_DEVICE_FUNC void conservativeResize(Index size, Index, Index cols)
+    {
+      m_data = internal::conditional_aligned_realloc_new_auto<T,(_Options&DontAlign)==0>(m_data, size, _Rows*m_cols);
+      m_cols = cols;
+    }
+    EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE void resize(Index size, Index, Index cols)
+    {
+      if(size != _Rows*m_cols)
+      {
+        internal::conditional_aligned_delete_auto<T,(_Options&DontAlign)==0>(m_data, _Rows*m_cols);
+        if (size>0) // >0 and not simply !=0 to let the compiler knows that size cannot be negative
+          m_data = internal::conditional_aligned_new_auto<T,(_Options&DontAlign)==0>(size);
+        else
+          m_data = 0;
+        EIGEN_INTERNAL_DENSE_STORAGE_CTOR_PLUGIN({})
+      }
+      m_cols = cols;
+    }
+    EIGEN_DEVICE_FUNC const T *data() const { return m_data; }
+    EIGEN_DEVICE_FUNC T *data() { return m_data; }
+};
+
+// matrix with dynamic height and fixed width (so that matrix has dynamic size).
+template<typename T, int _Cols, int _Options> class DenseStorage<T, Dynamic, Dynamic, _Cols, _Options>
+{
+    T *m_data;
+    Index m_rows;
+  public:
+    EIGEN_DEVICE_FUNC DenseStorage() : m_data(0), m_rows(0) {}
+    explicit DenseStorage(internal::constructor_without_unaligned_array_assert) : m_data(0), m_rows(0) {}
+    EIGEN_DEVICE_FUNC DenseStorage(Index size, Index rows, Index cols) : m_data(internal::conditional_aligned_new_auto<T,(_Options&DontAlign)==0>(size)), m_rows(rows)
+    {
+      EIGEN_INTERNAL_DENSE_STORAGE_CTOR_PLUGIN({})
+      eigen_internal_assert(size==rows*cols && rows>=0 && cols == _Cols);
+      EIGEN_UNUSED_VARIABLE(cols);
+    }
+    EIGEN_DEVICE_FUNC DenseStorage(const DenseStorage& other)
+      : m_data(internal::conditional_aligned_new_auto<T,(_Options&DontAlign)==0>(other.m_rows*_Cols))
+      , m_rows(other.m_rows)
+    {
+      EIGEN_INTERNAL_DENSE_STORAGE_CTOR_PLUGIN(Index size = m_rows*_Cols)
+      internal::smart_copy(other.m_data, other.m_data+other.m_rows*_Cols, m_data);
+    }
+    EIGEN_DEVICE_FUNC DenseStorage& operator=(const DenseStorage& other)
+    {
+      if (this != &other)
+      {
+        DenseStorage tmp(other);
+        this->swap(tmp);
+      }
+      return *this;
+    }    
+#if EIGEN_HAS_RVALUE_REFERENCES
+    EIGEN_DEVICE_FUNC
+    DenseStorage(DenseStorage&& other) EIGEN_NOEXCEPT
+      : m_data(std::move(other.m_data))
+      , m_rows(std::move(other.m_rows))
+    {
+      other.m_data = nullptr;
+      other.m_rows = 0;
+    }
+    EIGEN_DEVICE_FUNC
+    DenseStorage& operator=(DenseStorage&& other) EIGEN_NOEXCEPT
+    {
+      using std::swap;
+      swap(m_data, other.m_data);
+      swap(m_rows, other.m_rows);
+      return *this;
+    }
+#endif
+    EIGEN_DEVICE_FUNC ~DenseStorage() { internal::conditional_aligned_delete_auto<T,(_Options&DontAlign)==0>(m_data, _Cols*m_rows); }
+    EIGEN_DEVICE_FUNC void swap(DenseStorage& other) { std::swap(m_data,other.m_data); std::swap(m_rows,other.m_rows); }
+    EIGEN_DEVICE_FUNC Index rows(void) const {return m_rows;}
+    EIGEN_DEVICE_FUNC static Index cols(void) {return _Cols;}
+    void conservativeResize(Index size, Index rows, Index)
+    {
+      m_data = internal::conditional_aligned_realloc_new_auto<T,(_Options&DontAlign)==0>(m_data, size, m_rows*_Cols);
+      m_rows = rows;
+    }
+    EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE void resize(Index size, Index rows, Index)
+    {
+      if(size != m_rows*_Cols)
+      {
+        internal::conditional_aligned_delete_auto<T,(_Options&DontAlign)==0>(m_data, _Cols*m_rows);
+        if (size>0) // >0 and not simply !=0 to let the compiler knows that size cannot be negative
+          m_data = internal::conditional_aligned_new_auto<T,(_Options&DontAlign)==0>(size);
+        else
+          m_data = 0;
+        EIGEN_INTERNAL_DENSE_STORAGE_CTOR_PLUGIN({})
+      }
+      m_rows = rows;
+    }
+    EIGEN_DEVICE_FUNC const T *data() const { return m_data; }
+    EIGEN_DEVICE_FUNC T *data() { return m_data; }
+};
+
+} // end namespace Eigen
+
+#endif // EIGEN_MATRIX_H
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/Assign.h
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/Assign.h	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/Assign.h	(revision 3761)
@@ -0,0 +1,90 @@
+// This file is part of Eigen, a lightweight C++ template library
+// for linear algebra.
+//
+// Copyright (C) 2007 Michael Olbrich <michael.olbrich@gmx.net>
+// Copyright (C) 2006-2010 Benoit Jacob <jacob.benoit.1@gmail.com>
+// Copyright (C) 2008 Gael Guennebaud <gael.guennebaud@inria.fr>
+//
+// This Source Code Form is subject to the terms of the Mozilla
+// Public License v. 2.0. If a copy of the MPL was not distributed
+// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
+
+#ifndef EIGEN_ASSIGN_H
+#define EIGEN_ASSIGN_H
+
+namespace Eigen {
+
+template<typename Derived>
+template<typename OtherDerived>
+EIGEN_STRONG_INLINE Derived& DenseBase<Derived>
+  ::lazyAssign(const DenseBase<OtherDerived>& other)
+{
+  enum{
+    SameType = internal::is_same<typename Derived::Scalar,typename OtherDerived::Scalar>::value
+  };
+
+  EIGEN_STATIC_ASSERT_LVALUE(Derived)
+  EIGEN_STATIC_ASSERT_SAME_MATRIX_SIZE(Derived,OtherDerived)
+  EIGEN_STATIC_ASSERT(SameType,YOU_MIXED_DIFFERENT_NUMERIC_TYPES__YOU_NEED_TO_USE_THE_CAST_METHOD_OF_MATRIXBASE_TO_CAST_NUMERIC_TYPES_EXPLICITLY)
+
+  eigen_assert(rows() == other.rows() && cols() == other.cols());
+  internal::call_assignment_no_alias(derived(),other.derived());
+  
+  return derived();
+}
+
+template<typename Derived>
+template<typename OtherDerived>
+EIGEN_DEVICE_FUNC
+EIGEN_STRONG_INLINE Derived& DenseBase<Derived>::operator=(const DenseBase<OtherDerived>& other)
+{
+  internal::call_assignment(derived(), other.derived());
+  return derived();
+}
+
+template<typename Derived>
+EIGEN_DEVICE_FUNC
+EIGEN_STRONG_INLINE Derived& DenseBase<Derived>::operator=(const DenseBase& other)
+{
+  internal::call_assignment(derived(), other.derived());
+  return derived();
+}
+
+template<typename Derived>
+EIGEN_DEVICE_FUNC
+EIGEN_STRONG_INLINE Derived& MatrixBase<Derived>::operator=(const MatrixBase& other)
+{
+  internal::call_assignment(derived(), other.derived());
+  return derived();
+}
+
+template<typename Derived>
+template <typename OtherDerived>
+EIGEN_DEVICE_FUNC
+EIGEN_STRONG_INLINE Derived& MatrixBase<Derived>::operator=(const DenseBase<OtherDerived>& other)
+{
+  internal::call_assignment(derived(), other.derived());
+  return derived();
+}
+
+template<typename Derived>
+template <typename OtherDerived>
+EIGEN_DEVICE_FUNC
+EIGEN_STRONG_INLINE Derived& MatrixBase<Derived>::operator=(const EigenBase<OtherDerived>& other)
+{
+  internal::call_assignment(derived(), other.derived());
+  return derived();
+}
+
+template<typename Derived>
+template<typename OtherDerived>
+EIGEN_DEVICE_FUNC
+EIGEN_STRONG_INLINE Derived& MatrixBase<Derived>::operator=(const ReturnByValue<OtherDerived>& other)
+{
+  other.derived().evalTo(derived());
+  return derived();
+}
+
+} // end namespace Eigen
+
+#endif // EIGEN_ASSIGN_H
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/NoAlias.h
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/NoAlias.h	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/NoAlias.h	(revision 3761)
@@ -0,0 +1,108 @@
+// This file is part of Eigen, a lightweight C++ template library
+// for linear algebra.
+//
+// Copyright (C) 2009 Gael Guennebaud <gael.guennebaud@inria.fr>
+//
+// This Source Code Form is subject to the terms of the Mozilla
+// Public License v. 2.0. If a copy of the MPL was not distributed
+// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
+
+#ifndef EIGEN_NOALIAS_H
+#define EIGEN_NOALIAS_H
+
+namespace Eigen {
+
+/** \class NoAlias
+  * \ingroup Core_Module
+  *
+  * \brief Pseudo expression providing an operator = assuming no aliasing
+  *
+  * \tparam ExpressionType the type of the object on which to do the lazy assignment
+  *
+  * This class represents an expression with special assignment operators
+  * assuming no aliasing between the target expression and the source expression.
+  * More precisely it alloas to bypass the EvalBeforeAssignBit flag of the source expression.
+  * It is the return type of MatrixBase::noalias()
+  * and most of the time this is the only way it is used.
+  *
+  * \sa MatrixBase::noalias()
+  */
+template<typename ExpressionType, template <typename> class StorageBase>
+class NoAlias
+{
+  public:
+    typedef typename ExpressionType::Scalar Scalar;
+    
+    explicit NoAlias(ExpressionType& expression) : m_expression(expression) {}
+    
+    template<typename OtherDerived>
+    EIGEN_DEVICE_FUNC
+    EIGEN_STRONG_INLINE ExpressionType& operator=(const StorageBase<OtherDerived>& other)
+    {
+      call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
+      return m_expression;
+    }
+    
+    template<typename OtherDerived>
+    EIGEN_DEVICE_FUNC
+    EIGEN_STRONG_INLINE ExpressionType& operator+=(const StorageBase<OtherDerived>& other)
+    {
+      call_assignment_no_alias(m_expression, other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
+      return m_expression;
+    }
+    
+    template<typename OtherDerived>
+    EIGEN_DEVICE_FUNC
+    EIGEN_STRONG_INLINE ExpressionType& operator-=(const StorageBase<OtherDerived>& other)
+    {
+      call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
+      return m_expression;
+    }
+
+    EIGEN_DEVICE_FUNC
+    ExpressionType& expression() const
+    {
+      return m_expression;
+    }
+
+  protected:
+    ExpressionType& m_expression;
+};
+
+/** \returns a pseudo expression of \c *this with an operator= assuming
+  * no aliasing between \c *this and the source expression.
+  *
+  * More precisely, noalias() allows to bypass the EvalBeforeAssignBit flag.
+  * Currently, even though several expressions may alias, only product
+  * expressions have this flag. Therefore, noalias() is only usefull when
+  * the source expression contains a matrix product.
+  *
+  * Here are some examples where noalias is usefull:
+  * \code
+  * D.noalias()  = A * B;
+  * D.noalias() += A.transpose() * B;
+  * D.noalias() -= 2 * A * B.adjoint();
+  * \endcode
+  *
+  * On the other hand the following example will lead to a \b wrong result:
+  * \code
+  * A.noalias() = A * B;
+  * \endcode
+  * because the result matrix A is also an operand of the matrix product. Therefore,
+  * there is no alternative than evaluating A * B in a temporary, that is the default
+  * behavior when you write:
+  * \code
+  * A = A * B;
+  * \endcode
+  *
+  * \sa class NoAlias
+  */
+template<typename Derived>
+NoAlias<Derived,MatrixBase> MatrixBase<Derived>::noalias()
+{
+  return NoAlias<Derived, Eigen::MatrixBase >(derived());
+}
+
+} // end namespace Eigen
+
+#endif // EIGEN_NOALIAS_H
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/arch/AVX/PacketMath.h
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/arch/AVX/PacketMath.h	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/arch/AVX/PacketMath.h	(revision 3761)
@@ -0,0 +1,637 @@
+// This file is part of Eigen, a lightweight C++ template library
+// for linear algebra.
+//
+// Copyright (C) 2014 Benoit Steiner (benoit.steiner.goog@gmail.com)
+//
+// This Source Code Form is subject to the terms of the Mozilla
+// Public License v. 2.0. If a copy of the MPL was not distributed
+// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
+
+#ifndef EIGEN_PACKET_MATH_AVX_H
+#define EIGEN_PACKET_MATH_AVX_H
+
+namespace Eigen {
+
+namespace internal {
+
+#ifndef EIGEN_CACHEFRIENDLY_PRODUCT_THRESHOLD
+#define EIGEN_CACHEFRIENDLY_PRODUCT_THRESHOLD 8
+#endif
+
+#ifndef EIGEN_ARCH_DEFAULT_NUMBER_OF_REGISTERS
+#define EIGEN_ARCH_DEFAULT_NUMBER_OF_REGISTERS (2*sizeof(void*))
+#endif
+
+#ifdef __FMA__
+#ifndef EIGEN_HAS_SINGLE_INSTRUCTION_MADD
+#define EIGEN_HAS_SINGLE_INSTRUCTION_MADD
+#endif
+#endif
+
+typedef __m256  Packet8f;
+typedef __m256i Packet8i;
+typedef __m256d Packet4d;
+
+template<> struct is_arithmetic<__m256>  { enum { value = true }; };
+template<> struct is_arithmetic<__m256i> { enum { value = true }; };
+template<> struct is_arithmetic<__m256d> { enum { value = true }; };
+
+#define _EIGEN_DECLARE_CONST_Packet8f(NAME,X) \
+  const Packet8f p8f_##NAME = pset1<Packet8f>(X)
+
+#define _EIGEN_DECLARE_CONST_Packet4d(NAME,X) \
+  const Packet4d p4d_##NAME = pset1<Packet4d>(X)
+
+#define _EIGEN_DECLARE_CONST_Packet8f_FROM_INT(NAME,X) \
+  const Packet8f p8f_##NAME = _mm256_castsi256_ps(pset1<Packet8i>(X))
+
+#define _EIGEN_DECLARE_CONST_Packet8i(NAME,X) \
+  const Packet8i p8i_##NAME = pset1<Packet8i>(X)
+
+// Use the packet_traits defined in AVX512/PacketMath.h instead if we're going
+// to leverage AVX512 instructions.
+#ifndef EIGEN_VECTORIZE_AVX512
+template<> struct packet_traits<float>  : default_packet_traits
+{
+  typedef Packet8f type;
+  typedef Packet4f half;
+  enum {
+    Vectorizable = 1,
+    AlignedOnScalar = 1,
+    size=8,
+    HasHalfPacket = 1,
+
+    HasDiv  = 1,
+    HasSin  = EIGEN_FAST_MATH,
+    HasCos  = 0,
+    HasLog  = 1,
+    HasExp  = 1,
+    HasSqrt = 1,
+    HasRsqrt = 1,
+    HasTanh  = EIGEN_FAST_MATH,
+    HasBlend = 1,
+    HasRound = 1,
+    HasFloor = 1,
+    HasCeil = 1
+  };
+};
+template<> struct packet_traits<double> : default_packet_traits
+{
+  typedef Packet4d type;
+  typedef Packet2d half;
+  enum {
+    Vectorizable = 1,
+    AlignedOnScalar = 1,
+    size=4,
+    HasHalfPacket = 1,
+
+    HasDiv  = 1,
+    HasExp  = 1,
+    HasSqrt = 1,
+    HasRsqrt = 1,
+    HasBlend = 1,
+    HasRound = 1,
+    HasFloor = 1,
+    HasCeil = 1
+  };
+};
+#endif
+
+template<> struct scalar_div_cost<float,true> { enum { value = 14 }; };
+template<> struct scalar_div_cost<double,true> { enum { value = 16 }; };
+
+/* Proper support for integers is only provided by AVX2. In the meantime, we'll
+   use SSE instructions and packets to deal with integers.
+template<> struct packet_traits<int>    : default_packet_traits
+{
+  typedef Packet8i type;
+  enum {
+    Vectorizable = 1,
+    AlignedOnScalar = 1,
+    size=8
+  };
+};
+*/
+
+template<> struct unpacket_traits<Packet8f> { typedef float  type; typedef Packet4f half; enum {size=8, alignment=Aligned32}; };
+template<> struct unpacket_traits<Packet4d> { typedef double type; typedef Packet2d half; enum {size=4, alignment=Aligned32}; };
+template<> struct unpacket_traits<Packet8i> { typedef int    type; typedef Packet4i half; enum {size=8, alignment=Aligned32}; };
+
+template<> EIGEN_STRONG_INLINE Packet8f pset1<Packet8f>(const float&  from) { return _mm256_set1_ps(from); }
+template<> EIGEN_STRONG_INLINE Packet4d pset1<Packet4d>(const double& from) { return _mm256_set1_pd(from); }
+template<> EIGEN_STRONG_INLINE Packet8i pset1<Packet8i>(const int&    from) { return _mm256_set1_epi32(from); }
+
+template<> EIGEN_STRONG_INLINE Packet8f pload1<Packet8f>(const float*  from) { return _mm256_broadcast_ss(from); }
+template<> EIGEN_STRONG_INLINE Packet4d pload1<Packet4d>(const double* from) { return _mm256_broadcast_sd(from); }
+
+template<> EIGEN_STRONG_INLINE Packet8f plset<Packet8f>(const float& a) { return _mm256_add_ps(_mm256_set1_ps(a), _mm256_set_ps(7.0,6.0,5.0,4.0,3.0,2.0,1.0,0.0)); }
+template<> EIGEN_STRONG_INLINE Packet4d plset<Packet4d>(const double& a) { return _mm256_add_pd(_mm256_set1_pd(a), _mm256_set_pd(3.0,2.0,1.0,0.0)); }
+
+template<> EIGEN_STRONG_INLINE Packet8f padd<Packet8f>(const Packet8f& a, const Packet8f& b) { return _mm256_add_ps(a,b); }
+template<> EIGEN_STRONG_INLINE Packet4d padd<Packet4d>(const Packet4d& a, const Packet4d& b) { return _mm256_add_pd(a,b); }
+
+template<> EIGEN_STRONG_INLINE Packet8f psub<Packet8f>(const Packet8f& a, const Packet8f& b) { return _mm256_sub_ps(a,b); }
+template<> EIGEN_STRONG_INLINE Packet4d psub<Packet4d>(const Packet4d& a, const Packet4d& b) { return _mm256_sub_pd(a,b); }
+
+template<> EIGEN_STRONG_INLINE Packet8f pnegate(const Packet8f& a)
+{
+  return _mm256_sub_ps(_mm256_set1_ps(0.0),a);
+}
+template<> EIGEN_STRONG_INLINE Packet4d pnegate(const Packet4d& a)
+{
+  return _mm256_sub_pd(_mm256_set1_pd(0.0),a);
+}
+
+template<> EIGEN_STRONG_INLINE Packet8f pconj(const Packet8f& a) { return a; }
+template<> EIGEN_STRONG_INLINE Packet4d pconj(const Packet4d& a) { return a; }
+template<> EIGEN_STRONG_INLINE Packet8i pconj(const Packet8i& a) { return a; }
+
+template<> EIGEN_STRONG_INLINE Packet8f pmul<Packet8f>(const Packet8f& a, const Packet8f& b) { return _mm256_mul_ps(a,b); }
+template<> EIGEN_STRONG_INLINE Packet4d pmul<Packet4d>(const Packet4d& a, const Packet4d& b) { return _mm256_mul_pd(a,b); }
+
+
+template<> EIGEN_STRONG_INLINE Packet8f pdiv<Packet8f>(const Packet8f& a, const Packet8f& b) { return _mm256_div_ps(a,b); }
+template<> EIGEN_STRONG_INLINE Packet4d pdiv<Packet4d>(const Packet4d& a, const Packet4d& b) { return _mm256_div_pd(a,b); }
+template<> EIGEN_STRONG_INLINE Packet8i pdiv<Packet8i>(const Packet8i& /*a*/, const Packet8i& /*b*/)
+{ eigen_assert(false && "packet integer division are not supported by AVX");
+  return pset1<Packet8i>(0);
+}
+
+#ifdef __FMA__
+template<> EIGEN_STRONG_INLINE Packet8f pmadd(const Packet8f& a, const Packet8f& b, const Packet8f& c) {
+#if ( (EIGEN_COMP_GNUC_STRICT && EIGEN_COMP_GNUC<80) || (EIGEN_COMP_CLANG) )
+  // Clang stupidly generates a vfmadd213ps instruction plus some vmovaps on registers,
+  //  and even register spilling with clang>=6.0 (bug 1637).
+  // Gcc stupidly generates a vfmadd132ps instruction.
+  // So let's enforce it to generate a vfmadd231ps instruction since the most common use
+  //  case is to accumulate the result of the product.
+  Packet8f res = c;
+  __asm__("vfmadd231ps %[a], %[b], %[c]" : [c] "+x" (res) : [a] "x" (a), [b] "x" (b));
+  return res;
+#else
+  return _mm256_fmadd_ps(a,b,c);
+#endif
+}
+template<> EIGEN_STRONG_INLINE Packet4d pmadd(const Packet4d& a, const Packet4d& b, const Packet4d& c) {
+#if ( (EIGEN_COMP_GNUC_STRICT && EIGEN_COMP_GNUC<80) || (EIGEN_COMP_CLANG) )
+  // see above
+  Packet4d res = c;
+  __asm__("vfmadd231pd %[a], %[b], %[c]" : [c] "+x" (res) : [a] "x" (a), [b] "x" (b));
+  return res;
+#else
+  return _mm256_fmadd_pd(a,b,c);
+#endif
+}
+#endif
+
+template<> EIGEN_STRONG_INLINE Packet8f pmin<Packet8f>(const Packet8f& a, const Packet8f& b) { return _mm256_min_ps(a,b); }
+template<> EIGEN_STRONG_INLINE Packet4d pmin<Packet4d>(const Packet4d& a, const Packet4d& b) { return _mm256_min_pd(a,b); }
+
+template<> EIGEN_STRONG_INLINE Packet8f pmax<Packet8f>(const Packet8f& a, const Packet8f& b) { return _mm256_max_ps(a,b); }
+template<> EIGEN_STRONG_INLINE Packet4d pmax<Packet4d>(const Packet4d& a, const Packet4d& b) { return _mm256_max_pd(a,b); }
+
+template<> EIGEN_STRONG_INLINE Packet8f pround<Packet8f>(const Packet8f& a) { return _mm256_round_ps(a, _MM_FROUND_CUR_DIRECTION); }
+template<> EIGEN_STRONG_INLINE Packet4d pround<Packet4d>(const Packet4d& a) { return _mm256_round_pd(a, _MM_FROUND_CUR_DIRECTION); }
+
+template<> EIGEN_STRONG_INLINE Packet8f pceil<Packet8f>(const Packet8f& a) { return _mm256_ceil_ps(a); }
+template<> EIGEN_STRONG_INLINE Packet4d pceil<Packet4d>(const Packet4d& a) { return _mm256_ceil_pd(a); }
+
+template<> EIGEN_STRONG_INLINE Packet8f pfloor<Packet8f>(const Packet8f& a) { return _mm256_floor_ps(a); }
+template<> EIGEN_STRONG_INLINE Packet4d pfloor<Packet4d>(const Packet4d& a) { return _mm256_floor_pd(a); }
+
+template<> EIGEN_STRONG_INLINE Packet8f pand<Packet8f>(const Packet8f& a, const Packet8f& b) { return _mm256_and_ps(a,b); }
+template<> EIGEN_STRONG_INLINE Packet4d pand<Packet4d>(const Packet4d& a, const Packet4d& b) { return _mm256_and_pd(a,b); }
+
+template<> EIGEN_STRONG_INLINE Packet8f por<Packet8f>(const Packet8f& a, const Packet8f& b) { return _mm256_or_ps(a,b); }
+template<> EIGEN_STRONG_INLINE Packet4d por<Packet4d>(const Packet4d& a, const Packet4d& b) { return _mm256_or_pd(a,b); }
+
+template<> EIGEN_STRONG_INLINE Packet8f pxor<Packet8f>(const Packet8f& a, const Packet8f& b) { return _mm256_xor_ps(a,b); }
+template<> EIGEN_STRONG_INLINE Packet4d pxor<Packet4d>(const Packet4d& a, const Packet4d& b) { return _mm256_xor_pd(a,b); }
+
+template<> EIGEN_STRONG_INLINE Packet8f pandnot<Packet8f>(const Packet8f& a, const Packet8f& b) { return _mm256_andnot_ps(a,b); }
+template<> EIGEN_STRONG_INLINE Packet4d pandnot<Packet4d>(const Packet4d& a, const Packet4d& b) { return _mm256_andnot_pd(a,b); }
+
+template<> EIGEN_STRONG_INLINE Packet8f pload<Packet8f>(const float*   from) { EIGEN_DEBUG_ALIGNED_LOAD return _mm256_load_ps(from); }
+template<> EIGEN_STRONG_INLINE Packet4d pload<Packet4d>(const double*  from) { EIGEN_DEBUG_ALIGNED_LOAD return _mm256_load_pd(from); }
+template<> EIGEN_STRONG_INLINE Packet8i pload<Packet8i>(const int*     from) { EIGEN_DEBUG_ALIGNED_LOAD return _mm256_load_si256(reinterpret_cast<const __m256i*>(from)); }
+
+template<> EIGEN_STRONG_INLINE Packet8f ploadu<Packet8f>(const float* from) { EIGEN_DEBUG_UNALIGNED_LOAD return _mm256_loadu_ps(from); }
+template<> EIGEN_STRONG_INLINE Packet4d ploadu<Packet4d>(const double* from) { EIGEN_DEBUG_UNALIGNED_LOAD return _mm256_loadu_pd(from); }
+template<> EIGEN_STRONG_INLINE Packet8i ploadu<Packet8i>(const int* from) { EIGEN_DEBUG_UNALIGNED_LOAD return _mm256_loadu_si256(reinterpret_cast<const __m256i*>(from)); }
+
+// Loads 4 floats from memory a returns the packet {a0, a0  a1, a1, a2, a2, a3, a3}
+template<> EIGEN_STRONG_INLINE Packet8f ploaddup<Packet8f>(const float* from)
+{
+  // TODO try to find a way to avoid the need of a temporary register
+//   Packet8f tmp  = _mm256_castps128_ps256(_mm_loadu_ps(from));
+//   tmp = _mm256_insertf128_ps(tmp, _mm_movehl_ps(_mm256_castps256_ps128(tmp),_mm256_castps256_ps128(tmp)), 1);
+//   return _mm256_unpacklo_ps(tmp,tmp);
+  
+  // _mm256_insertf128_ps is very slow on Haswell, thus:
+  Packet8f tmp = _mm256_broadcast_ps((const __m128*)(const void*)from);
+  // mimic an "inplace" permutation of the lower 128bits using a blend
+  tmp = _mm256_blend_ps(tmp,_mm256_castps128_ps256(_mm_permute_ps( _mm256_castps256_ps128(tmp), _MM_SHUFFLE(1,0,1,0))), 15);
+  // then we can perform a consistent permutation on the global register to get everything in shape:
+  return  _mm256_permute_ps(tmp, _MM_SHUFFLE(3,3,2,2));
+}
+// Loads 2 doubles from memory a returns the packet {a0, a0  a1, a1}
+template<> EIGEN_STRONG_INLINE Packet4d ploaddup<Packet4d>(const double* from)
+{
+  Packet4d tmp = _mm256_broadcast_pd((const __m128d*)(const void*)from);
+  return  _mm256_permute_pd(tmp, 3<<2);
+}
+
+// Loads 2 floats from memory a returns the packet {a0, a0  a0, a0, a1, a1, a1, a1}
+template<> EIGEN_STRONG_INLINE Packet8f ploadquad<Packet8f>(const float* from)
+{
+  Packet8f tmp = _mm256_castps128_ps256(_mm_broadcast_ss(from));
+  return _mm256_insertf128_ps(tmp, _mm_broadcast_ss(from+1), 1);
+}
+
+template<> EIGEN_STRONG_INLINE void pstore<float>(float*   to, const Packet8f& from) { EIGEN_DEBUG_ALIGNED_STORE _mm256_store_ps(to, from); }
+template<> EIGEN_STRONG_INLINE void pstore<double>(double* to, const Packet4d& from) { EIGEN_DEBUG_ALIGNED_STORE _mm256_store_pd(to, from); }
+template<> EIGEN_STRONG_INLINE void pstore<int>(int*       to, const Packet8i& from) { EIGEN_DEBUG_ALIGNED_STORE _mm256_storeu_si256(reinterpret_cast<__m256i*>(to), from); }
+
+template<> EIGEN_STRONG_INLINE void pstoreu<float>(float*   to, const Packet8f& from) { EIGEN_DEBUG_UNALIGNED_STORE _mm256_storeu_ps(to, from); }
+template<> EIGEN_STRONG_INLINE void pstoreu<double>(double* to, const Packet4d& from) { EIGEN_DEBUG_UNALIGNED_STORE _mm256_storeu_pd(to, from); }
+template<> EIGEN_STRONG_INLINE void pstoreu<int>(int*       to, const Packet8i& from) { EIGEN_DEBUG_UNALIGNED_STORE _mm256_storeu_si256(reinterpret_cast<__m256i*>(to), from); }
+
+// NOTE: leverage _mm256_i32gather_ps and _mm256_i32gather_pd if AVX2 instructions are available
+// NOTE: for the record the following seems to be slower: return _mm256_i32gather_ps(from, _mm256_set1_epi32(stride), 4);
+template<> EIGEN_DEVICE_FUNC inline Packet8f pgather<float, Packet8f>(const float* from, Index stride)
+{
+  return _mm256_set_ps(from[7*stride], from[6*stride], from[5*stride], from[4*stride],
+                       from[3*stride], from[2*stride], from[1*stride], from[0*stride]);
+}
+template<> EIGEN_DEVICE_FUNC inline Packet4d pgather<double, Packet4d>(const double* from, Index stride)
+{
+  return _mm256_set_pd(from[3*stride], from[2*stride], from[1*stride], from[0*stride]);
+}
+
+template<> EIGEN_DEVICE_FUNC inline void pscatter<float, Packet8f>(float* to, const Packet8f& from, Index stride)
+{
+  __m128 low = _mm256_extractf128_ps(from, 0);
+  to[stride*0] = _mm_cvtss_f32(low);
+  to[stride*1] = _mm_cvtss_f32(_mm_shuffle_ps(low, low, 1));
+  to[stride*2] = _mm_cvtss_f32(_mm_shuffle_ps(low, low, 2));
+  to[stride*3] = _mm_cvtss_f32(_mm_shuffle_ps(low, low, 3));
+
+  __m128 high = _mm256_extractf128_ps(from, 1);
+  to[stride*4] = _mm_cvtss_f32(high);
+  to[stride*5] = _mm_cvtss_f32(_mm_shuffle_ps(high, high, 1));
+  to[stride*6] = _mm_cvtss_f32(_mm_shuffle_ps(high, high, 2));
+  to[stride*7] = _mm_cvtss_f32(_mm_shuffle_ps(high, high, 3));
+}
+template<> EIGEN_DEVICE_FUNC inline void pscatter<double, Packet4d>(double* to, const Packet4d& from, Index stride)
+{
+  __m128d low = _mm256_extractf128_pd(from, 0);
+  to[stride*0] = _mm_cvtsd_f64(low);
+  to[stride*1] = _mm_cvtsd_f64(_mm_shuffle_pd(low, low, 1));
+  __m128d high = _mm256_extractf128_pd(from, 1);
+  to[stride*2] = _mm_cvtsd_f64(high);
+  to[stride*3] = _mm_cvtsd_f64(_mm_shuffle_pd(high, high, 1));
+}
+
+template<> EIGEN_STRONG_INLINE void pstore1<Packet8f>(float* to, const float& a)
+{
+  Packet8f pa = pset1<Packet8f>(a);
+  pstore(to, pa);
+}
+template<> EIGEN_STRONG_INLINE void pstore1<Packet4d>(double* to, const double& a)
+{
+  Packet4d pa = pset1<Packet4d>(a);
+  pstore(to, pa);
+}
+template<> EIGEN_STRONG_INLINE void pstore1<Packet8i>(int* to, const int& a)
+{
+  Packet8i pa = pset1<Packet8i>(a);
+  pstore(to, pa);
+}
+
+#ifndef EIGEN_VECTORIZE_AVX512
+template<> EIGEN_STRONG_INLINE void prefetch<float>(const float*   addr) { _mm_prefetch((SsePrefetchPtrType)(addr), _MM_HINT_T0); }
+template<> EIGEN_STRONG_INLINE void prefetch<double>(const double* addr) { _mm_prefetch((SsePrefetchPtrType)(addr), _MM_HINT_T0); }
+template<> EIGEN_STRONG_INLINE void prefetch<int>(const int*       addr) { _mm_prefetch((SsePrefetchPtrType)(addr), _MM_HINT_T0); }
+#endif
+
+template<> EIGEN_STRONG_INLINE float  pfirst<Packet8f>(const Packet8f& a) {
+  return _mm_cvtss_f32(_mm256_castps256_ps128(a));
+}
+template<> EIGEN_STRONG_INLINE double pfirst<Packet4d>(const Packet4d& a) {
+  return _mm_cvtsd_f64(_mm256_castpd256_pd128(a));
+}
+template<> EIGEN_STRONG_INLINE int    pfirst<Packet8i>(const Packet8i& a) {
+  return _mm_cvtsi128_si32(_mm256_castsi256_si128(a));
+}
+
+
+template<> EIGEN_STRONG_INLINE Packet8f preverse(const Packet8f& a)
+{
+  __m256 tmp = _mm256_shuffle_ps(a,a,0x1b);
+  return _mm256_permute2f128_ps(tmp, tmp, 1);
+}
+template<> EIGEN_STRONG_INLINE Packet4d preverse(const Packet4d& a)
+{
+   __m256d tmp = _mm256_shuffle_pd(a,a,5);
+  return _mm256_permute2f128_pd(tmp, tmp, 1);
+  #if 0
+  // This version is unlikely to be faster as _mm256_shuffle_ps and _mm256_permute_pd
+  // exhibit the same latency/throughput, but it is here for future reference/benchmarking...
+  __m256d swap_halves = _mm256_permute2f128_pd(a,a,1);
+    return _mm256_permute_pd(swap_halves,5);
+  #endif
+}
+
+// pabs should be ok
+template<> EIGEN_STRONG_INLINE Packet8f pabs(const Packet8f& a)
+{
+  const Packet8f mask = _mm256_castsi256_ps(_mm256_setr_epi32(0x7FFFFFFF,0x7FFFFFFF,0x7FFFFFFF,0x7FFFFFFF,0x7FFFFFFF,0x7FFFFFFF,0x7FFFFFFF,0x7FFFFFFF));
+  return _mm256_and_ps(a,mask);
+}
+template<> EIGEN_STRONG_INLINE Packet4d pabs(const Packet4d& a)
+{
+  const Packet4d mask = _mm256_castsi256_pd(_mm256_setr_epi32(0xFFFFFFFF,0x7FFFFFFF,0xFFFFFFFF,0x7FFFFFFF,0xFFFFFFFF,0x7FFFFFFF,0xFFFFFFFF,0x7FFFFFFF));
+  return _mm256_and_pd(a,mask);
+}
+
+// preduxp should be ok
+// FIXME: why is this ok? why isn't the simply implementation working as expected?
+template<> EIGEN_STRONG_INLINE Packet8f preduxp<Packet8f>(const Packet8f* vecs)
+{
+    __m256 hsum1 = _mm256_hadd_ps(vecs[0], vecs[1]);
+    __m256 hsum2 = _mm256_hadd_ps(vecs[2], vecs[3]);
+    __m256 hsum3 = _mm256_hadd_ps(vecs[4], vecs[5]);
+    __m256 hsum4 = _mm256_hadd_ps(vecs[6], vecs[7]);
+
+    __m256 hsum5 = _mm256_hadd_ps(hsum1, hsum1);
+    __m256 hsum6 = _mm256_hadd_ps(hsum2, hsum2);
+    __m256 hsum7 = _mm256_hadd_ps(hsum3, hsum3);
+    __m256 hsum8 = _mm256_hadd_ps(hsum4, hsum4);
+
+    __m256 perm1 =  _mm256_permute2f128_ps(hsum5, hsum5, 0x23);
+    __m256 perm2 =  _mm256_permute2f128_ps(hsum6, hsum6, 0x23);
+    __m256 perm3 =  _mm256_permute2f128_ps(hsum7, hsum7, 0x23);
+    __m256 perm4 =  _mm256_permute2f128_ps(hsum8, hsum8, 0x23);
+
+    __m256 sum1 = _mm256_add_ps(perm1, hsum5);
+    __m256 sum2 = _mm256_add_ps(perm2, hsum6);
+    __m256 sum3 = _mm256_add_ps(perm3, hsum7);
+    __m256 sum4 = _mm256_add_ps(perm4, hsum8);
+
+    __m256 blend1 = _mm256_blend_ps(sum1, sum2, 0xcc);
+    __m256 blend2 = _mm256_blend_ps(sum3, sum4, 0xcc);
+
+    __m256 final = _mm256_blend_ps(blend1, blend2, 0xf0);
+    return final;
+}
+template<> EIGEN_STRONG_INLINE Packet4d preduxp<Packet4d>(const Packet4d* vecs)
+{
+ Packet4d tmp0, tmp1;
+
+  tmp0 = _mm256_hadd_pd(vecs[0], vecs[1]);
+  tmp0 = _mm256_add_pd(tmp0, _mm256_permute2f128_pd(tmp0, tmp0, 1));
+
+  tmp1 = _mm256_hadd_pd(vecs[2], vecs[3]);
+  tmp1 = _mm256_add_pd(tmp1, _mm256_permute2f128_pd(tmp1, tmp1, 1));
+
+  return _mm256_blend_pd(tmp0, tmp1, 0xC);
+}
+
+template<> EIGEN_STRONG_INLINE float predux<Packet8f>(const Packet8f& a)
+{
+  return predux(Packet4f(_mm_add_ps(_mm256_castps256_ps128(a),_mm256_extractf128_ps(a,1))));
+}
+template<> EIGEN_STRONG_INLINE double predux<Packet4d>(const Packet4d& a)
+{
+  return predux(Packet2d(_mm_add_pd(_mm256_castpd256_pd128(a),_mm256_extractf128_pd(a,1))));
+}
+
+template<> EIGEN_STRONG_INLINE Packet4f predux_downto4<Packet8f>(const Packet8f& a)
+{
+  return _mm_add_ps(_mm256_castps256_ps128(a),_mm256_extractf128_ps(a,1));
+}
+
+template<> EIGEN_STRONG_INLINE float predux_mul<Packet8f>(const Packet8f& a)
+{
+  Packet8f tmp;
+  tmp = _mm256_mul_ps(a, _mm256_permute2f128_ps(a,a,1));
+  tmp = _mm256_mul_ps(tmp, _mm256_shuffle_ps(tmp,tmp,_MM_SHUFFLE(1,0,3,2)));
+  return pfirst(_mm256_mul_ps(tmp, _mm256_shuffle_ps(tmp,tmp,1)));
+}
+template<> EIGEN_STRONG_INLINE double predux_mul<Packet4d>(const Packet4d& a)
+{
+  Packet4d tmp;
+  tmp = _mm256_mul_pd(a, _mm256_permute2f128_pd(a,a,1));
+  return pfirst(_mm256_mul_pd(tmp, _mm256_shuffle_pd(tmp,tmp,1)));
+}
+
+template<> EIGEN_STRONG_INLINE float predux_min<Packet8f>(const Packet8f& a)
+{
+  Packet8f tmp = _mm256_min_ps(a, _mm256_permute2f128_ps(a,a,1));
+  tmp = _mm256_min_ps(tmp, _mm256_shuffle_ps(tmp,tmp,_MM_SHUFFLE(1,0,3,2)));
+  return pfirst(_mm256_min_ps(tmp, _mm256_shuffle_ps(tmp,tmp,1)));
+}
+template<> EIGEN_STRONG_INLINE double predux_min<Packet4d>(const Packet4d& a)
+{
+  Packet4d tmp = _mm256_min_pd(a, _mm256_permute2f128_pd(a,a,1));
+  return pfirst(_mm256_min_pd(tmp, _mm256_shuffle_pd(tmp, tmp, 1)));
+}
+
+template<> EIGEN_STRONG_INLINE float predux_max<Packet8f>(const Packet8f& a)
+{
+  Packet8f tmp = _mm256_max_ps(a, _mm256_permute2f128_ps(a,a,1));
+  tmp = _mm256_max_ps(tmp, _mm256_shuffle_ps(tmp,tmp,_MM_SHUFFLE(1,0,3,2)));
+  return pfirst(_mm256_max_ps(tmp, _mm256_shuffle_ps(tmp,tmp,1)));
+}
+
+template<> EIGEN_STRONG_INLINE double predux_max<Packet4d>(const Packet4d& a)
+{
+  Packet4d tmp = _mm256_max_pd(a, _mm256_permute2f128_pd(a,a,1));
+  return pfirst(_mm256_max_pd(tmp, _mm256_shuffle_pd(tmp, tmp, 1)));
+}
+
+
+template<int Offset>
+struct palign_impl<Offset,Packet8f>
+{
+  static EIGEN_STRONG_INLINE void run(Packet8f& first, const Packet8f& second)
+  {
+    if (Offset==1)
+    {
+      first = _mm256_blend_ps(first, second, 1);
+      Packet8f tmp1 = _mm256_permute_ps (first, _MM_SHUFFLE(0,3,2,1));
+      Packet8f tmp2 = _mm256_permute2f128_ps (tmp1, tmp1, 1);
+      first = _mm256_blend_ps(tmp1, tmp2, 0x88);
+    }
+    else if (Offset==2)
+    {
+      first = _mm256_blend_ps(first, second, 3);
+      Packet8f tmp1 = _mm256_permute_ps (first, _MM_SHUFFLE(1,0,3,2));
+      Packet8f tmp2 = _mm256_permute2f128_ps (tmp1, tmp1, 1);
+      first = _mm256_blend_ps(tmp1, tmp2, 0xcc);
+    }
+    else if (Offset==3)
+    {
+      first = _mm256_blend_ps(first, second, 7);
+      Packet8f tmp1 = _mm256_permute_ps (first, _MM_SHUFFLE(2,1,0,3));
+      Packet8f tmp2 = _mm256_permute2f128_ps (tmp1, tmp1, 1);
+      first = _mm256_blend_ps(tmp1, tmp2, 0xee);
+    }
+    else if (Offset==4)
+    {
+      first = _mm256_blend_ps(first, second, 15);
+      Packet8f tmp1 = _mm256_permute_ps (first, _MM_SHUFFLE(3,2,1,0));
+      Packet8f tmp2 = _mm256_permute2f128_ps (tmp1, tmp1, 1);
+      first = _mm256_permute_ps(tmp2, _MM_SHUFFLE(3,2,1,0));
+    }
+    else if (Offset==5)
+    {
+      first = _mm256_blend_ps(first, second, 31);
+      first = _mm256_permute2f128_ps(first, first, 1);
+      Packet8f tmp = _mm256_permute_ps (first, _MM_SHUFFLE(0,3,2,1));
+      first = _mm256_permute2f128_ps(tmp, tmp, 1);
+      first = _mm256_blend_ps(tmp, first, 0x88);
+    }
+    else if (Offset==6)
+    {
+      first = _mm256_blend_ps(first, second, 63);
+      first = _mm256_permute2f128_ps(first, first, 1);
+      Packet8f tmp = _mm256_permute_ps (first, _MM_SHUFFLE(1,0,3,2));
+      first = _mm256_permute2f128_ps(tmp, tmp, 1);
+      first = _mm256_blend_ps(tmp, first, 0xcc);
+    }
+    else if (Offset==7)
+    {
+      first = _mm256_blend_ps(first, second, 127);
+      first = _mm256_permute2f128_ps(first, first, 1);
+      Packet8f tmp = _mm256_permute_ps (first, _MM_SHUFFLE(2,1,0,3));
+      first = _mm256_permute2f128_ps(tmp, tmp, 1);
+      first = _mm256_blend_ps(tmp, first, 0xee);
+    }
+  }
+};
+
+template<int Offset>
+struct palign_impl<Offset,Packet4d>
+{
+  static EIGEN_STRONG_INLINE void run(Packet4d& first, const Packet4d& second)
+  {
+    if (Offset==1)
+    {
+      first = _mm256_blend_pd(first, second, 1);
+      __m256d tmp = _mm256_permute_pd(first, 5);
+      first = _mm256_permute2f128_pd(tmp, tmp, 1);
+      first = _mm256_blend_pd(tmp, first, 0xA);
+    }
+    else if (Offset==2)
+    {
+      first = _mm256_blend_pd(first, second, 3);
+      first = _mm256_permute2f128_pd(first, first, 1);
+    }
+    else if (Offset==3)
+    {
+      first = _mm256_blend_pd(first, second, 7);
+      __m256d tmp = _mm256_permute_pd(first, 5);
+      first = _mm256_permute2f128_pd(tmp, tmp, 1);
+      first = _mm256_blend_pd(tmp, first, 5);
+    }
+  }
+};
+
+EIGEN_DEVICE_FUNC inline void
+ptranspose(PacketBlock<Packet8f,8>& kernel) {
+  __m256 T0 = _mm256_unpacklo_ps(kernel.packet[0], kernel.packet[1]);
+  __m256 T1 = _mm256_unpackhi_ps(kernel.packet[0], kernel.packet[1]);
+  __m256 T2 = _mm256_unpacklo_ps(kernel.packet[2], kernel.packet[3]);
+  __m256 T3 = _mm256_unpackhi_ps(kernel.packet[2], kernel.packet[3]);
+  __m256 T4 = _mm256_unpacklo_ps(kernel.packet[4], kernel.packet[5]);
+  __m256 T5 = _mm256_unpackhi_ps(kernel.packet[4], kernel.packet[5]);
+  __m256 T6 = _mm256_unpacklo_ps(kernel.packet[6], kernel.packet[7]);
+  __m256 T7 = _mm256_unpackhi_ps(kernel.packet[6], kernel.packet[7]);
+  __m256 S0 = _mm256_shuffle_ps(T0,T2,_MM_SHUFFLE(1,0,1,0));
+  __m256 S1 = _mm256_shuffle_ps(T0,T2,_MM_SHUFFLE(3,2,3,2));
+  __m256 S2 = _mm256_shuffle_ps(T1,T3,_MM_SHUFFLE(1,0,1,0));
+  __m256 S3 = _mm256_shuffle_ps(T1,T3,_MM_SHUFFLE(3,2,3,2));
+  __m256 S4 = _mm256_shuffle_ps(T4,T6,_MM_SHUFFLE(1,0,1,0));
+  __m256 S5 = _mm256_shuffle_ps(T4,T6,_MM_SHUFFLE(3,2,3,2));
+  __m256 S6 = _mm256_shuffle_ps(T5,T7,_MM_SHUFFLE(1,0,1,0));
+  __m256 S7 = _mm256_shuffle_ps(T5,T7,_MM_SHUFFLE(3,2,3,2));
+  kernel.packet[0] = _mm256_permute2f128_ps(S0, S4, 0x20);
+  kernel.packet[1] = _mm256_permute2f128_ps(S1, S5, 0x20);
+  kernel.packet[2] = _mm256_permute2f128_ps(S2, S6, 0x20);
+  kernel.packet[3] = _mm256_permute2f128_ps(S3, S7, 0x20);
+  kernel.packet[4] = _mm256_permute2f128_ps(S0, S4, 0x31);
+  kernel.packet[5] = _mm256_permute2f128_ps(S1, S5, 0x31);
+  kernel.packet[6] = _mm256_permute2f128_ps(S2, S6, 0x31);
+  kernel.packet[7] = _mm256_permute2f128_ps(S3, S7, 0x31);
+}
+
+EIGEN_DEVICE_FUNC inline void
+ptranspose(PacketBlock<Packet8f,4>& kernel) {
+  __m256 T0 = _mm256_unpacklo_ps(kernel.packet[0], kernel.packet[1]);
+  __m256 T1 = _mm256_unpackhi_ps(kernel.packet[0], kernel.packet[1]);
+  __m256 T2 = _mm256_unpacklo_ps(kernel.packet[2], kernel.packet[3]);
+  __m256 T3 = _mm256_unpackhi_ps(kernel.packet[2], kernel.packet[3]);
+
+  __m256 S0 = _mm256_shuffle_ps(T0,T2,_MM_SHUFFLE(1,0,1,0));
+  __m256 S1 = _mm256_shuffle_ps(T0,T2,_MM_SHUFFLE(3,2,3,2));
+  __m256 S2 = _mm256_shuffle_ps(T1,T3,_MM_SHUFFLE(1,0,1,0));
+  __m256 S3 = _mm256_shuffle_ps(T1,T3,_MM_SHUFFLE(3,2,3,2));
+
+  kernel.packet[0] = _mm256_permute2f128_ps(S0, S1, 0x20);
+  kernel.packet[1] = _mm256_permute2f128_ps(S2, S3, 0x20);
+  kernel.packet[2] = _mm256_permute2f128_ps(S0, S1, 0x31);
+  kernel.packet[3] = _mm256_permute2f128_ps(S2, S3, 0x31);
+}
+
+EIGEN_DEVICE_FUNC inline void
+ptranspose(PacketBlock<Packet4d,4>& kernel) {
+  __m256d T0 = _mm256_shuffle_pd(kernel.packet[0], kernel.packet[1], 15);
+  __m256d T1 = _mm256_shuffle_pd(kernel.packet[0], kernel.packet[1], 0);
+  __m256d T2 = _mm256_shuffle_pd(kernel.packet[2], kernel.packet[3], 15);
+  __m256d T3 = _mm256_shuffle_pd(kernel.packet[2], kernel.packet[3], 0);
+
+  kernel.packet[1] = _mm256_permute2f128_pd(T0, T2, 32);
+  kernel.packet[3] = _mm256_permute2f128_pd(T0, T2, 49);
+  kernel.packet[0] = _mm256_permute2f128_pd(T1, T3, 32);
+  kernel.packet[2] = _mm256_permute2f128_pd(T1, T3, 49);
+}
+
+template<> EIGEN_STRONG_INLINE Packet8f pblend(const Selector<8>& ifPacket, const Packet8f& thenPacket, const Packet8f& elsePacket) {
+  const __m256 zero = _mm256_setzero_ps();
+  const __m256 select = _mm256_set_ps(ifPacket.select[7], ifPacket.select[6], ifPacket.select[5], ifPacket.select[4], ifPacket.select[3], ifPacket.select[2], ifPacket.select[1], ifPacket.select[0]);
+  __m256 false_mask = _mm256_cmp_ps(select, zero, _CMP_EQ_UQ);
+  return _mm256_blendv_ps(thenPacket, elsePacket, false_mask);
+}
+template<> EIGEN_STRONG_INLINE Packet4d pblend(const Selector<4>& ifPacket, const Packet4d& thenPacket, const Packet4d& elsePacket) {
+  const __m256d zero = _mm256_setzero_pd();
+  const __m256d select = _mm256_set_pd(ifPacket.select[3], ifPacket.select[2], ifPacket.select[1], ifPacket.select[0]);
+  __m256d false_mask = _mm256_cmp_pd(select, zero, _CMP_EQ_UQ);
+  return _mm256_blendv_pd(thenPacket, elsePacket, false_mask);
+}
+
+template<> EIGEN_STRONG_INLINE Packet8f pinsertfirst(const Packet8f& a, float b)
+{
+  return _mm256_blend_ps(a,pset1<Packet8f>(b),1);
+}
+
+template<> EIGEN_STRONG_INLINE Packet4d pinsertfirst(const Packet4d& a, double b)
+{
+  return _mm256_blend_pd(a,pset1<Packet4d>(b),1);
+}
+
+template<> EIGEN_STRONG_INLINE Packet8f pinsertlast(const Packet8f& a, float b)
+{
+  return _mm256_blend_ps(a,pset1<Packet8f>(b),(1<<7));
+}
+
+template<> EIGEN_STRONG_INLINE Packet4d pinsertlast(const Packet4d& a, double b)
+{
+  return _mm256_blend_pd(a,pset1<Packet4d>(b),(1<<3));
+}
+
+} // end namespace internal
+
+} // end namespace Eigen
+
+#endif // EIGEN_PACKET_MATH_AVX_H
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/arch/AVX/MathFunctions.h
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/arch/AVX/MathFunctions.h	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/arch/AVX/MathFunctions.h	(revision 3761)
@@ -0,0 +1,439 @@
+// This file is part of Eigen, a lightweight C++ template library
+// for linear algebra.
+//
+// Copyright (C) 2014 Pedro Gonnet (pedro.gonnet@gmail.com)
+//
+// This Source Code Form is subject to the terms of the Mozilla
+// Public License v. 2.0. If a copy of the MPL was not distributed
+// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
+
+#ifndef EIGEN_MATH_FUNCTIONS_AVX_H
+#define EIGEN_MATH_FUNCTIONS_AVX_H
+
+/* The sin, cos, exp, and log functions of this file are loosely derived from
+ * Julien Pommier's sse math library: http://gruntthepeon.free.fr/ssemath/
+ */
+
+namespace Eigen {
+
+namespace internal {
+
+inline Packet8i pshiftleft(Packet8i v, int n)
+{
+#ifdef EIGEN_VECTORIZE_AVX2
+  return _mm256_slli_epi32(v, n);
+#else
+  __m128i lo = _mm_slli_epi32(_mm256_extractf128_si256(v, 0), n);
+  __m128i hi = _mm_slli_epi32(_mm256_extractf128_si256(v, 1), n);
+  return _mm256_insertf128_si256(_mm256_castsi128_si256(lo), (hi), 1);
+#endif
+}
+
+inline Packet8f pshiftright(Packet8f v, int n)
+{
+#ifdef EIGEN_VECTORIZE_AVX2
+  return _mm256_cvtepi32_ps(_mm256_srli_epi32(_mm256_castps_si256(v), n));
+#else
+  __m128i lo = _mm_srli_epi32(_mm256_extractf128_si256(_mm256_castps_si256(v), 0), n);
+  __m128i hi = _mm_srli_epi32(_mm256_extractf128_si256(_mm256_castps_si256(v), 1), n);
+  return _mm256_cvtepi32_ps(_mm256_insertf128_si256(_mm256_castsi128_si256(lo), (hi), 1));
+#endif
+}
+
+// Sine function
+// Computes sin(x) by wrapping x to the interval [-Pi/4,3*Pi/4] and
+// evaluating interpolants in [-Pi/4,Pi/4] or [Pi/4,3*Pi/4]. The interpolants
+// are (anti-)symmetric and thus have only odd/even coefficients
+template <>
+EIGEN_DEFINE_FUNCTION_ALLOWING_MULTIPLE_DEFINITIONS EIGEN_UNUSED Packet8f
+psin<Packet8f>(const Packet8f& _x) {
+  Packet8f x = _x;
+
+  // Some useful values.
+  _EIGEN_DECLARE_CONST_Packet8i(one, 1);
+  _EIGEN_DECLARE_CONST_Packet8f(one, 1.0f);
+  _EIGEN_DECLARE_CONST_Packet8f(two, 2.0f);
+  _EIGEN_DECLARE_CONST_Packet8f(one_over_four, 0.25f);
+  _EIGEN_DECLARE_CONST_Packet8f(one_over_pi, 3.183098861837907e-01f);
+  _EIGEN_DECLARE_CONST_Packet8f(neg_pi_first, -3.140625000000000e+00f);
+  _EIGEN_DECLARE_CONST_Packet8f(neg_pi_second, -9.670257568359375e-04f);
+  _EIGEN_DECLARE_CONST_Packet8f(neg_pi_third, -6.278329571784980e-07f);
+  _EIGEN_DECLARE_CONST_Packet8f(four_over_pi, 1.273239544735163e+00f);
+
+  // Map x from [-Pi/4,3*Pi/4] to z in [-1,3] and subtract the shifted period.
+  Packet8f z = pmul(x, p8f_one_over_pi);
+  Packet8f shift = _mm256_floor_ps(padd(z, p8f_one_over_four));
+  x = pmadd(shift, p8f_neg_pi_first, x);
+  x = pmadd(shift, p8f_neg_pi_second, x);
+  x = pmadd(shift, p8f_neg_pi_third, x);
+  z = pmul(x, p8f_four_over_pi);
+
+  // Make a mask for the entries that need flipping, i.e. wherever the shift
+  // is odd.
+  Packet8i shift_ints = _mm256_cvtps_epi32(shift);
+  Packet8i shift_isodd = _mm256_castps_si256(_mm256_and_ps(_mm256_castsi256_ps(shift_ints), _mm256_castsi256_ps(p8i_one)));
+  Packet8i sign_flip_mask = pshiftleft(shift_isodd, 31);
+
+  // Create a mask for which interpolant to use, i.e. if z > 1, then the mask
+  // is set to ones for that entry.
+  Packet8f ival_mask = _mm256_cmp_ps(z, p8f_one, _CMP_GT_OQ);
+
+  // Evaluate the polynomial for the interval [1,3] in z.
+  _EIGEN_DECLARE_CONST_Packet8f(coeff_right_0, 9.999999724233232e-01f);
+  _EIGEN_DECLARE_CONST_Packet8f(coeff_right_2, -3.084242535619928e-01f);
+  _EIGEN_DECLARE_CONST_Packet8f(coeff_right_4, 1.584991525700324e-02f);
+  _EIGEN_DECLARE_CONST_Packet8f(coeff_right_6, -3.188805084631342e-04f);
+  Packet8f z_minus_two = psub(z, p8f_two);
+  Packet8f z_minus_two2 = pmul(z_minus_two, z_minus_two);
+  Packet8f right = pmadd(p8f_coeff_right_6, z_minus_two2, p8f_coeff_right_4);
+  right = pmadd(right, z_minus_two2, p8f_coeff_right_2);
+  right = pmadd(right, z_minus_two2, p8f_coeff_right_0);
+
+  // Evaluate the polynomial for the interval [-1,1] in z.
+  _EIGEN_DECLARE_CONST_Packet8f(coeff_left_1, 7.853981525427295e-01f);
+  _EIGEN_DECLARE_CONST_Packet8f(coeff_left_3, -8.074536727092352e-02f);
+  _EIGEN_DECLARE_CONST_Packet8f(coeff_left_5, 2.489871967827018e-03f);
+  _EIGEN_DECLARE_CONST_Packet8f(coeff_left_7, -3.587725841214251e-05f);
+  Packet8f z2 = pmul(z, z);
+  Packet8f left = pmadd(p8f_coeff_left_7, z2, p8f_coeff_left_5);
+  left = pmadd(left, z2, p8f_coeff_left_3);
+  left = pmadd(left, z2, p8f_coeff_left_1);
+  left = pmul(left, z);
+
+  // Assemble the results, i.e. select the left and right polynomials.
+  left = _mm256_andnot_ps(ival_mask, left);
+  right = _mm256_and_ps(ival_mask, right);
+  Packet8f res = _mm256_or_ps(left, right);
+
+  // Flip the sign on the odd intervals and return the result.
+  res = _mm256_xor_ps(res, _mm256_castsi256_ps(sign_flip_mask));
+  return res;
+}
+
+// Natural logarithm
+// Computes log(x) as log(2^e * m) = C*e + log(m), where the constant C =log(2)
+// and m is in the range [sqrt(1/2),sqrt(2)). In this range, the logarithm can
+// be easily approximated by a polynomial centered on m=1 for stability.
+// TODO(gonnet): Further reduce the interval allowing for lower-degree
+//               polynomial interpolants -> ... -> profit!
+template <>
+EIGEN_DEFINE_FUNCTION_ALLOWING_MULTIPLE_DEFINITIONS EIGEN_UNUSED Packet8f
+plog<Packet8f>(const Packet8f& _x) {
+  Packet8f x = _x;
+  _EIGEN_DECLARE_CONST_Packet8f(1, 1.0f);
+  _EIGEN_DECLARE_CONST_Packet8f(half, 0.5f);
+  _EIGEN_DECLARE_CONST_Packet8f(126f, 126.0f);
+
+  _EIGEN_DECLARE_CONST_Packet8f_FROM_INT(inv_mant_mask, ~0x7f800000);
+
+  // The smallest non denormalized float number.
+  _EIGEN_DECLARE_CONST_Packet8f_FROM_INT(min_norm_pos, 0x00800000);
+  _EIGEN_DECLARE_CONST_Packet8f_FROM_INT(minus_inf, 0xff800000);
+
+  // Polynomial coefficients.
+  _EIGEN_DECLARE_CONST_Packet8f(cephes_SQRTHF, 0.707106781186547524f);
+  _EIGEN_DECLARE_CONST_Packet8f(cephes_log_p0, 7.0376836292E-2f);
+  _EIGEN_DECLARE_CONST_Packet8f(cephes_log_p1, -1.1514610310E-1f);
+  _EIGEN_DECLARE_CONST_Packet8f(cephes_log_p2, 1.1676998740E-1f);
+  _EIGEN_DECLARE_CONST_Packet8f(cephes_log_p3, -1.2420140846E-1f);
+  _EIGEN_DECLARE_CONST_Packet8f(cephes_log_p4, +1.4249322787E-1f);
+  _EIGEN_DECLARE_CONST_Packet8f(cephes_log_p5, -1.6668057665E-1f);
+  _EIGEN_DECLARE_CONST_Packet8f(cephes_log_p6, +2.0000714765E-1f);
+  _EIGEN_DECLARE_CONST_Packet8f(cephes_log_p7, -2.4999993993E-1f);
+  _EIGEN_DECLARE_CONST_Packet8f(cephes_log_p8, +3.3333331174E-1f);
+  _EIGEN_DECLARE_CONST_Packet8f(cephes_log_q1, -2.12194440e-4f);
+  _EIGEN_DECLARE_CONST_Packet8f(cephes_log_q2, 0.693359375f);
+
+  Packet8f invalid_mask = _mm256_cmp_ps(x, _mm256_setzero_ps(), _CMP_NGE_UQ); // not greater equal is true if x is NaN
+  Packet8f iszero_mask = _mm256_cmp_ps(x, _mm256_setzero_ps(), _CMP_EQ_OQ);
+
+  // Truncate input values to the minimum positive normal.
+  x = pmax(x, p8f_min_norm_pos);
+
+  Packet8f emm0 = pshiftright(x,23);
+  Packet8f e = _mm256_sub_ps(emm0, p8f_126f);
+
+  // Set the exponents to -1, i.e. x are in the range [0.5,1).
+  x = _mm256_and_ps(x, p8f_inv_mant_mask);
+  x = _mm256_or_ps(x, p8f_half);
+
+  // part2: Shift the inputs from the range [0.5,1) to [sqrt(1/2),sqrt(2))
+  // and shift by -1. The values are then centered around 0, which improves
+  // the stability of the polynomial evaluation.
+  //   if( x < SQRTHF ) {
+  //     e -= 1;
+  //     x = x + x - 1.0;
+  //   } else { x = x - 1.0; }
+  Packet8f mask = _mm256_cmp_ps(x, p8f_cephes_SQRTHF, _CMP_LT_OQ);
+  Packet8f tmp = _mm256_and_ps(x, mask);
+  x = psub(x, p8f_1);
+  e = psub(e, _mm256_and_ps(p8f_1, mask));
+  x = padd(x, tmp);
+
+  Packet8f x2 = pmul(x, x);
+  Packet8f x3 = pmul(x2, x);
+
+  // Evaluate the polynomial approximant of degree 8 in three parts, probably
+  // to improve instruction-level parallelism.
+  Packet8f y, y1, y2;
+  y = pmadd(p8f_cephes_log_p0, x, p8f_cephes_log_p1);
+  y1 = pmadd(p8f_cephes_log_p3, x, p8f_cephes_log_p4);
+  y2 = pmadd(p8f_cephes_log_p6, x, p8f_cephes_log_p7);
+  y = pmadd(y, x, p8f_cephes_log_p2);
+  y1 = pmadd(y1, x, p8f_cephes_log_p5);
+  y2 = pmadd(y2, x, p8f_cephes_log_p8);
+  y = pmadd(y, x3, y1);
+  y = pmadd(y, x3, y2);
+  y = pmul(y, x3);
+
+  // Add the logarithm of the exponent back to the result of the interpolation.
+  y1 = pmul(e, p8f_cephes_log_q1);
+  tmp = pmul(x2, p8f_half);
+  y = padd(y, y1);
+  x = psub(x, tmp);
+  y2 = pmul(e, p8f_cephes_log_q2);
+  x = padd(x, y);
+  x = padd(x, y2);
+
+  // Filter out invalid inputs, i.e. negative arg will be NAN, 0 will be -INF.
+  return _mm256_or_ps(
+      _mm256_andnot_ps(iszero_mask, _mm256_or_ps(x, invalid_mask)),
+      _mm256_and_ps(iszero_mask, p8f_minus_inf));
+}
+
+// Exponential function. Works by writing "x = m*log(2) + r" where
+// "m = floor(x/log(2)+1/2)" and "r" is the remainder. The result is then
+// "exp(x) = 2^m*exp(r)" where exp(r) is in the range [-1,1).
+template <>
+EIGEN_DEFINE_FUNCTION_ALLOWING_MULTIPLE_DEFINITIONS EIGEN_UNUSED Packet8f
+pexp<Packet8f>(const Packet8f& _x) {
+  _EIGEN_DECLARE_CONST_Packet8f(1, 1.0f);
+  _EIGEN_DECLARE_CONST_Packet8f(half, 0.5f);
+  _EIGEN_DECLARE_CONST_Packet8f(127, 127.0f);
+
+  _EIGEN_DECLARE_CONST_Packet8f(exp_hi, 88.3762626647950f);
+  _EIGEN_DECLARE_CONST_Packet8f(exp_lo, -88.3762626647949f);
+
+  _EIGEN_DECLARE_CONST_Packet8f(cephes_LOG2EF, 1.44269504088896341f);
+
+  _EIGEN_DECLARE_CONST_Packet8f(cephes_exp_p0, 1.9875691500E-4f);
+  _EIGEN_DECLARE_CONST_Packet8f(cephes_exp_p1, 1.3981999507E-3f);
+  _EIGEN_DECLARE_CONST_Packet8f(cephes_exp_p2, 8.3334519073E-3f);
+  _EIGEN_DECLARE_CONST_Packet8f(cephes_exp_p3, 4.1665795894E-2f);
+  _EIGEN_DECLARE_CONST_Packet8f(cephes_exp_p4, 1.6666665459E-1f);
+  _EIGEN_DECLARE_CONST_Packet8f(cephes_exp_p5, 5.0000001201E-1f);
+
+  // Clamp x.
+  Packet8f x = pmax(pmin(_x, p8f_exp_hi), p8f_exp_lo);
+
+  // Express exp(x) as exp(m*ln(2) + r), start by extracting
+  // m = floor(x/ln(2) + 0.5).
+  Packet8f m = _mm256_floor_ps(pmadd(x, p8f_cephes_LOG2EF, p8f_half));
+
+// Get r = x - m*ln(2). If no FMA instructions are available, m*ln(2) is
+// subtracted out in two parts, m*C1+m*C2 = m*ln(2), to avoid accumulating
+// truncation errors. Note that we don't use the "pmadd" function here to
+// ensure that a precision-preserving FMA instruction is used.
+#ifdef EIGEN_VECTORIZE_FMA
+  _EIGEN_DECLARE_CONST_Packet8f(nln2, -0.6931471805599453f);
+  Packet8f r = _mm256_fmadd_ps(m, p8f_nln2, x);
+#else
+  _EIGEN_DECLARE_CONST_Packet8f(cephes_exp_C1, 0.693359375f);
+  _EIGEN_DECLARE_CONST_Packet8f(cephes_exp_C2, -2.12194440e-4f);
+  Packet8f r = psub(x, pmul(m, p8f_cephes_exp_C1));
+  r = psub(r, pmul(m, p8f_cephes_exp_C2));
+#endif
+
+  Packet8f r2 = pmul(r, r);
+
+  // TODO(gonnet): Split into odd/even polynomials and try to exploit
+  //               instruction-level parallelism.
+  Packet8f y = p8f_cephes_exp_p0;
+  y = pmadd(y, r, p8f_cephes_exp_p1);
+  y = pmadd(y, r, p8f_cephes_exp_p2);
+  y = pmadd(y, r, p8f_cephes_exp_p3);
+  y = pmadd(y, r, p8f_cephes_exp_p4);
+  y = pmadd(y, r, p8f_cephes_exp_p5);
+  y = pmadd(y, r2, r);
+  y = padd(y, p8f_1);
+
+  // Build emm0 = 2^m.
+  Packet8i emm0 = _mm256_cvttps_epi32(padd(m, p8f_127));
+  emm0 = pshiftleft(emm0, 23);
+
+  // Return 2^m * exp(r).
+  return pmax(pmul(y, _mm256_castsi256_ps(emm0)), _x);
+}
+
+// Hyperbolic Tangent function.
+template <>
+EIGEN_DEFINE_FUNCTION_ALLOWING_MULTIPLE_DEFINITIONS EIGEN_UNUSED Packet8f
+ptanh<Packet8f>(const Packet8f& x) {
+  return internal::generic_fast_tanh_float(x);
+}
+
+template <>
+EIGEN_DEFINE_FUNCTION_ALLOWING_MULTIPLE_DEFINITIONS EIGEN_UNUSED Packet4d
+pexp<Packet4d>(const Packet4d& _x) {
+  Packet4d x = _x;
+
+  _EIGEN_DECLARE_CONST_Packet4d(1, 1.0);
+  _EIGEN_DECLARE_CONST_Packet4d(2, 2.0);
+  _EIGEN_DECLARE_CONST_Packet4d(half, 0.5);
+
+  _EIGEN_DECLARE_CONST_Packet4d(exp_hi, 709.437);
+  _EIGEN_DECLARE_CONST_Packet4d(exp_lo, -709.436139303);
+
+  _EIGEN_DECLARE_CONST_Packet4d(cephes_LOG2EF, 1.4426950408889634073599);
+
+  _EIGEN_DECLARE_CONST_Packet4d(cephes_exp_p0, 1.26177193074810590878e-4);
+  _EIGEN_DECLARE_CONST_Packet4d(cephes_exp_p1, 3.02994407707441961300e-2);
+  _EIGEN_DECLARE_CONST_Packet4d(cephes_exp_p2, 9.99999999999999999910e-1);
+
+  _EIGEN_DECLARE_CONST_Packet4d(cephes_exp_q0, 3.00198505138664455042e-6);
+  _EIGEN_DECLARE_CONST_Packet4d(cephes_exp_q1, 2.52448340349684104192e-3);
+  _EIGEN_DECLARE_CONST_Packet4d(cephes_exp_q2, 2.27265548208155028766e-1);
+  _EIGEN_DECLARE_CONST_Packet4d(cephes_exp_q3, 2.00000000000000000009e0);
+
+  _EIGEN_DECLARE_CONST_Packet4d(cephes_exp_C1, 0.693145751953125);
+  _EIGEN_DECLARE_CONST_Packet4d(cephes_exp_C2, 1.42860682030941723212e-6);
+  _EIGEN_DECLARE_CONST_Packet4i(1023, 1023);
+
+  Packet4d tmp, fx;
+
+  // clamp x
+  x = pmax(pmin(x, p4d_exp_hi), p4d_exp_lo);
+  // Express exp(x) as exp(g + n*log(2)).
+  fx = pmadd(p4d_cephes_LOG2EF, x, p4d_half);
+
+  // Get the integer modulus of log(2), i.e. the "n" described above.
+  fx = _mm256_floor_pd(fx);
+
+  // Get the remainder modulo log(2), i.e. the "g" described above. Subtract
+  // n*log(2) out in two steps, i.e. n*C1 + n*C2, C1+C2=log2 to get the last
+  // digits right.
+  tmp = pmul(fx, p4d_cephes_exp_C1);
+  Packet4d z = pmul(fx, p4d_cephes_exp_C2);
+  x = psub(x, tmp);
+  x = psub(x, z);
+
+  Packet4d x2 = pmul(x, x);
+
+  // Evaluate the numerator polynomial of the rational interpolant.
+  Packet4d px = p4d_cephes_exp_p0;
+  px = pmadd(px, x2, p4d_cephes_exp_p1);
+  px = pmadd(px, x2, p4d_cephes_exp_p2);
+  px = pmul(px, x);
+
+  // Evaluate the denominator polynomial of the rational interpolant.
+  Packet4d qx = p4d_cephes_exp_q0;
+  qx = pmadd(qx, x2, p4d_cephes_exp_q1);
+  qx = pmadd(qx, x2, p4d_cephes_exp_q2);
+  qx = pmadd(qx, x2, p4d_cephes_exp_q3);
+
+  // I don't really get this bit, copied from the SSE2 routines, so...
+  // TODO(gonnet): Figure out what is going on here, perhaps find a better
+  // rational interpolant?
+  x = _mm256_div_pd(px, psub(qx, px));
+  x = pmadd(p4d_2, x, p4d_1);
+
+  // Build e=2^n by constructing the exponents in a 128-bit vector and
+  // shifting them to where they belong in double-precision values.
+  __m128i emm0 = _mm256_cvtpd_epi32(fx);
+  emm0 = _mm_add_epi32(emm0, p4i_1023);
+  emm0 = _mm_shuffle_epi32(emm0, _MM_SHUFFLE(3, 1, 2, 0));
+  __m128i lo = _mm_slli_epi64(emm0, 52);
+  __m128i hi = _mm_slli_epi64(_mm_srli_epi64(emm0, 32), 52);
+  __m256i e = _mm256_insertf128_si256(_mm256_setzero_si256(), lo, 0);
+  e = _mm256_insertf128_si256(e, hi, 1);
+
+  // Construct the result 2^n * exp(g) = e * x. The max is used to catch
+  // non-finite values in the input.
+  return pmax(pmul(x, _mm256_castsi256_pd(e)), _x);
+}
+
+// Functions for sqrt.
+// The EIGEN_FAST_MATH version uses the _mm_rsqrt_ps approximation and one step
+// of Newton's method, at a cost of 1-2 bits of precision as opposed to the
+// exact solution. It does not handle +inf, or denormalized numbers correctly.
+// The main advantage of this approach is not just speed, but also the fact that
+// it can be inlined and pipelined with other computations, further reducing its
+// effective latency. This is similar to Quake3's fast inverse square root.
+// For detail see here: http://www.beyond3d.com/content/articles/8/
+#if EIGEN_FAST_MATH
+template <>
+EIGEN_DEFINE_FUNCTION_ALLOWING_MULTIPLE_DEFINITIONS EIGEN_UNUSED Packet8f
+psqrt<Packet8f>(const Packet8f& _x) {
+  Packet8f half = pmul(_x, pset1<Packet8f>(.5f));
+  Packet8f denormal_mask = _mm256_and_ps(
+      _mm256_cmp_ps(_x, pset1<Packet8f>((std::numeric_limits<float>::min)()),
+                    _CMP_LT_OQ),
+      _mm256_cmp_ps(_x, _mm256_setzero_ps(), _CMP_GE_OQ));
+
+  // Compute approximate reciprocal sqrt.
+  Packet8f x = _mm256_rsqrt_ps(_x);
+  // Do a single step of Newton's iteration.
+  x = pmul(x, psub(pset1<Packet8f>(1.5f), pmul(half, pmul(x,x))));
+  // Flush results for denormals to zero.
+  return _mm256_andnot_ps(denormal_mask, pmul(_x,x));
+}
+#else
+template <> EIGEN_DEFINE_FUNCTION_ALLOWING_MULTIPLE_DEFINITIONS EIGEN_UNUSED
+Packet8f psqrt<Packet8f>(const Packet8f& x) {
+  return _mm256_sqrt_ps(x);
+}
+#endif
+template <> EIGEN_DEFINE_FUNCTION_ALLOWING_MULTIPLE_DEFINITIONS EIGEN_UNUSED
+Packet4d psqrt<Packet4d>(const Packet4d& x) {
+  return _mm256_sqrt_pd(x);
+}
+#if EIGEN_FAST_MATH
+
+template<> EIGEN_DEFINE_FUNCTION_ALLOWING_MULTIPLE_DEFINITIONS EIGEN_UNUSED
+Packet8f prsqrt<Packet8f>(const Packet8f& _x) {
+  _EIGEN_DECLARE_CONST_Packet8f_FROM_INT(inf, 0x7f800000);
+  _EIGEN_DECLARE_CONST_Packet8f_FROM_INT(nan, 0x7fc00000);
+  _EIGEN_DECLARE_CONST_Packet8f(one_point_five, 1.5f);
+  _EIGEN_DECLARE_CONST_Packet8f(minus_half, -0.5f);
+  _EIGEN_DECLARE_CONST_Packet8f_FROM_INT(flt_min, 0x00800000);
+
+  Packet8f neg_half = pmul(_x, p8f_minus_half);
+
+  // select only the inverse sqrt of positive normal inputs (denormals are
+  // flushed to zero and cause infs as well).
+  Packet8f le_zero_mask = _mm256_cmp_ps(_x, p8f_flt_min, _CMP_LT_OQ);
+  Packet8f x = _mm256_andnot_ps(le_zero_mask, _mm256_rsqrt_ps(_x));
+
+  // Fill in NaNs and Infs for the negative/zero entries.
+  Packet8f neg_mask = _mm256_cmp_ps(_x, _mm256_setzero_ps(), _CMP_LT_OQ);
+  Packet8f zero_mask = _mm256_andnot_ps(neg_mask, le_zero_mask);
+  Packet8f infs_and_nans = _mm256_or_ps(_mm256_and_ps(neg_mask, p8f_nan),
+                                        _mm256_and_ps(zero_mask, p8f_inf));
+
+  // Do a single step of Newton's iteration.
+  x = pmul(x, pmadd(neg_half, pmul(x, x), p8f_one_point_five));
+
+  // Insert NaNs and Infs in all the right places.
+  return _mm256_or_ps(x, infs_and_nans);
+}
+
+#else
+template <> EIGEN_DEFINE_FUNCTION_ALLOWING_MULTIPLE_DEFINITIONS EIGEN_UNUSED
+Packet8f prsqrt<Packet8f>(const Packet8f& x) {
+  _EIGEN_DECLARE_CONST_Packet8f(one, 1.0f);
+  return _mm256_div_ps(p8f_one, _mm256_sqrt_ps(x));
+}
+#endif
+
+template <> EIGEN_DEFINE_FUNCTION_ALLOWING_MULTIPLE_DEFINITIONS EIGEN_UNUSED
+Packet4d prsqrt<Packet4d>(const Packet4d& x) {
+  _EIGEN_DECLARE_CONST_Packet4d(one, 1.0);
+  return _mm256_div_pd(p4d_one, _mm256_sqrt_pd(x));
+}
+
+
+}  // end namespace internal
+
+}  // end namespace Eigen
+
+#endif  // EIGEN_MATH_FUNCTIONS_AVX_H
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/arch/AVX/Complex.h
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/arch/AVX/Complex.h	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/arch/AVX/Complex.h	(revision 3761)
@@ -0,0 +1,451 @@
+// This file is part of Eigen, a lightweight C++ template library
+// for linear algebra.
+//
+// Copyright (C) 2014 Benoit Steiner (benoit.steiner.goog@gmail.com)
+//
+// This Source Code Form is subject to the terms of the Mozilla
+// Public License v. 2.0. If a copy of the MPL was not distributed
+// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
+
+#ifndef EIGEN_COMPLEX_AVX_H
+#define EIGEN_COMPLEX_AVX_H
+
+namespace Eigen {
+
+namespace internal {
+
+//---------- float ----------
+struct Packet4cf
+{
+  EIGEN_STRONG_INLINE Packet4cf() {}
+  EIGEN_STRONG_INLINE explicit Packet4cf(const __m256& a) : v(a) {}
+  __m256  v;
+};
+
+template<> struct packet_traits<std::complex<float> >  : default_packet_traits
+{
+  typedef Packet4cf type;
+  typedef Packet2cf half;
+  enum {
+    Vectorizable = 1,
+    AlignedOnScalar = 1,
+    size = 4,
+    HasHalfPacket = 1,
+
+    HasAdd    = 1,
+    HasSub    = 1,
+    HasMul    = 1,
+    HasDiv    = 1,
+    HasNegate = 1,
+    HasAbs    = 0,
+    HasAbs2   = 0,
+    HasMin    = 0,
+    HasMax    = 0,
+    HasSetLinear = 0
+  };
+};
+
+template<> struct unpacket_traits<Packet4cf> { typedef std::complex<float> type; enum {size=4, alignment=Aligned32}; typedef Packet2cf half; };
+
+template<> EIGEN_STRONG_INLINE Packet4cf padd<Packet4cf>(const Packet4cf& a, const Packet4cf& b) { return Packet4cf(_mm256_add_ps(a.v,b.v)); }
+template<> EIGEN_STRONG_INLINE Packet4cf psub<Packet4cf>(const Packet4cf& a, const Packet4cf& b) { return Packet4cf(_mm256_sub_ps(a.v,b.v)); }
+template<> EIGEN_STRONG_INLINE Packet4cf pnegate(const Packet4cf& a)
+{
+  return Packet4cf(pnegate(a.v));
+}
+template<> EIGEN_STRONG_INLINE Packet4cf pconj(const Packet4cf& a)
+{
+  const __m256 mask = _mm256_castsi256_ps(_mm256_setr_epi32(0x00000000,0x80000000,0x00000000,0x80000000,0x00000000,0x80000000,0x00000000,0x80000000));
+  return Packet4cf(_mm256_xor_ps(a.v,mask));
+}
+
+template<> EIGEN_STRONG_INLINE Packet4cf pmul<Packet4cf>(const Packet4cf& a, const Packet4cf& b)
+{
+  __m256 tmp1 = _mm256_mul_ps(_mm256_moveldup_ps(a.v), b.v);
+  __m256 tmp2 = _mm256_mul_ps(_mm256_movehdup_ps(a.v), _mm256_permute_ps(b.v, _MM_SHUFFLE(2,3,0,1)));
+  __m256 result = _mm256_addsub_ps(tmp1, tmp2);
+  return Packet4cf(result);
+}
+
+template<> EIGEN_STRONG_INLINE Packet4cf pand   <Packet4cf>(const Packet4cf& a, const Packet4cf& b) { return Packet4cf(_mm256_and_ps(a.v,b.v)); }
+template<> EIGEN_STRONG_INLINE Packet4cf por    <Packet4cf>(const Packet4cf& a, const Packet4cf& b) { return Packet4cf(_mm256_or_ps(a.v,b.v)); }
+template<> EIGEN_STRONG_INLINE Packet4cf pxor   <Packet4cf>(const Packet4cf& a, const Packet4cf& b) { return Packet4cf(_mm256_xor_ps(a.v,b.v)); }
+template<> EIGEN_STRONG_INLINE Packet4cf pandnot<Packet4cf>(const Packet4cf& a, const Packet4cf& b) { return Packet4cf(_mm256_andnot_ps(a.v,b.v)); }
+
+template<> EIGEN_STRONG_INLINE Packet4cf pload <Packet4cf>(const std::complex<float>* from) { EIGEN_DEBUG_ALIGNED_LOAD return Packet4cf(pload<Packet8f>(&numext::real_ref(*from))); }
+template<> EIGEN_STRONG_INLINE Packet4cf ploadu<Packet4cf>(const std::complex<float>* from) { EIGEN_DEBUG_UNALIGNED_LOAD return Packet4cf(ploadu<Packet8f>(&numext::real_ref(*from))); }
+
+
+template<> EIGEN_STRONG_INLINE Packet4cf pset1<Packet4cf>(const std::complex<float>& from)
+{
+  return Packet4cf(_mm256_castpd_ps(_mm256_broadcast_sd((const double*)(const void*)&from)));
+}
+
+template<> EIGEN_STRONG_INLINE Packet4cf ploaddup<Packet4cf>(const std::complex<float>* from)
+{
+  // FIXME The following might be optimized using _mm256_movedup_pd
+  Packet2cf a = ploaddup<Packet2cf>(from);
+  Packet2cf b = ploaddup<Packet2cf>(from+1);
+  return  Packet4cf(_mm256_insertf128_ps(_mm256_castps128_ps256(a.v), b.v, 1));
+}
+
+template<> EIGEN_STRONG_INLINE void pstore <std::complex<float> >(std::complex<float>* to, const Packet4cf& from) { EIGEN_DEBUG_ALIGNED_STORE pstore(&numext::real_ref(*to), from.v); }
+template<> EIGEN_STRONG_INLINE void pstoreu<std::complex<float> >(std::complex<float>* to, const Packet4cf& from) { EIGEN_DEBUG_UNALIGNED_STORE pstoreu(&numext::real_ref(*to), from.v); }
+
+template<> EIGEN_DEVICE_FUNC inline Packet4cf pgather<std::complex<float>, Packet4cf>(const std::complex<float>* from, Index stride)
+{
+  return Packet4cf(_mm256_set_ps(std::imag(from[3*stride]), std::real(from[3*stride]),
+                                 std::imag(from[2*stride]), std::real(from[2*stride]),
+                                 std::imag(from[1*stride]), std::real(from[1*stride]),
+                                 std::imag(from[0*stride]), std::real(from[0*stride])));
+}
+
+template<> EIGEN_DEVICE_FUNC inline void pscatter<std::complex<float>, Packet4cf>(std::complex<float>* to, const Packet4cf& from, Index stride)
+{
+  __m128 low = _mm256_extractf128_ps(from.v, 0);
+  to[stride*0] = std::complex<float>(_mm_cvtss_f32(_mm_shuffle_ps(low, low, 0)),
+                                     _mm_cvtss_f32(_mm_shuffle_ps(low, low, 1)));
+  to[stride*1] = std::complex<float>(_mm_cvtss_f32(_mm_shuffle_ps(low, low, 2)),
+                                     _mm_cvtss_f32(_mm_shuffle_ps(low, low, 3)));
+
+  __m128 high = _mm256_extractf128_ps(from.v, 1);
+  to[stride*2] = std::complex<float>(_mm_cvtss_f32(_mm_shuffle_ps(high, high, 0)),
+                                     _mm_cvtss_f32(_mm_shuffle_ps(high, high, 1)));
+  to[stride*3] = std::complex<float>(_mm_cvtss_f32(_mm_shuffle_ps(high, high, 2)),
+                                     _mm_cvtss_f32(_mm_shuffle_ps(high, high, 3)));
+
+}
+
+template<> EIGEN_STRONG_INLINE std::complex<float>  pfirst<Packet4cf>(const Packet4cf& a)
+{
+  return pfirst(Packet2cf(_mm256_castps256_ps128(a.v)));
+}
+
+template<> EIGEN_STRONG_INLINE Packet4cf preverse(const Packet4cf& a) {
+  __m128 low  = _mm256_extractf128_ps(a.v, 0);
+  __m128 high = _mm256_extractf128_ps(a.v, 1);
+  __m128d lowd  = _mm_castps_pd(low);
+  __m128d highd = _mm_castps_pd(high);
+  low  = _mm_castpd_ps(_mm_shuffle_pd(lowd,lowd,0x1));
+  high = _mm_castpd_ps(_mm_shuffle_pd(highd,highd,0x1));
+  __m256 result = _mm256_setzero_ps();
+  result = _mm256_insertf128_ps(result, low, 1);
+  result = _mm256_insertf128_ps(result, high, 0);
+  return Packet4cf(result);
+}
+
+template<> EIGEN_STRONG_INLINE std::complex<float> predux<Packet4cf>(const Packet4cf& a)
+{
+  return predux(padd(Packet2cf(_mm256_extractf128_ps(a.v,0)),
+                     Packet2cf(_mm256_extractf128_ps(a.v,1))));
+}
+
+template<> EIGEN_STRONG_INLINE Packet4cf preduxp<Packet4cf>(const Packet4cf* vecs)
+{
+  Packet8f t0 = _mm256_shuffle_ps(vecs[0].v, vecs[0].v, _MM_SHUFFLE(3, 1, 2 ,0));
+  Packet8f t1 = _mm256_shuffle_ps(vecs[1].v, vecs[1].v, _MM_SHUFFLE(3, 1, 2 ,0));
+  t0 = _mm256_hadd_ps(t0,t1);
+  Packet8f t2 = _mm256_shuffle_ps(vecs[2].v, vecs[2].v, _MM_SHUFFLE(3, 1, 2 ,0));
+  Packet8f t3 = _mm256_shuffle_ps(vecs[3].v, vecs[3].v, _MM_SHUFFLE(3, 1, 2 ,0));
+  t2 = _mm256_hadd_ps(t2,t3);
+  
+  t1 = _mm256_permute2f128_ps(t0,t2, 0 + (2<<4));
+  t3 = _mm256_permute2f128_ps(t0,t2, 1 + (3<<4));
+
+  return Packet4cf(_mm256_add_ps(t1,t3));
+}
+
+template<> EIGEN_STRONG_INLINE std::complex<float> predux_mul<Packet4cf>(const Packet4cf& a)
+{
+  return predux_mul(pmul(Packet2cf(_mm256_extractf128_ps(a.v, 0)),
+                         Packet2cf(_mm256_extractf128_ps(a.v, 1))));
+}
+
+template<int Offset>
+struct palign_impl<Offset,Packet4cf>
+{
+  static EIGEN_STRONG_INLINE void run(Packet4cf& first, const Packet4cf& second)
+  {
+    if (Offset==0) return;
+    palign_impl<Offset*2,Packet8f>::run(first.v, second.v);
+  }
+};
+
+template<> struct conj_helper<Packet4cf, Packet4cf, false,true>
+{
+  EIGEN_STRONG_INLINE Packet4cf pmadd(const Packet4cf& x, const Packet4cf& y, const Packet4cf& c) const
+  { return padd(pmul(x,y),c); }
+
+  EIGEN_STRONG_INLINE Packet4cf pmul(const Packet4cf& a, const Packet4cf& b) const
+  {
+    return internal::pmul(a, pconj(b));
+  }
+};
+
+template<> struct conj_helper<Packet4cf, Packet4cf, true,false>
+{
+  EIGEN_STRONG_INLINE Packet4cf pmadd(const Packet4cf& x, const Packet4cf& y, const Packet4cf& c) const
+  { return padd(pmul(x,y),c); }
+
+  EIGEN_STRONG_INLINE Packet4cf pmul(const Packet4cf& a, const Packet4cf& b) const
+  {
+    return internal::pmul(pconj(a), b);
+  }
+};
+
+template<> struct conj_helper<Packet4cf, Packet4cf, true,true>
+{
+  EIGEN_STRONG_INLINE Packet4cf pmadd(const Packet4cf& x, const Packet4cf& y, const Packet4cf& c) const
+  { return padd(pmul(x,y),c); }
+
+  EIGEN_STRONG_INLINE Packet4cf pmul(const Packet4cf& a, const Packet4cf& b) const
+  {
+    return pconj(internal::pmul(a, b));
+  }
+};
+
+EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet4cf,Packet8f)
+
+template<> EIGEN_STRONG_INLINE Packet4cf pdiv<Packet4cf>(const Packet4cf& a, const Packet4cf& b)
+{
+  Packet4cf num = pmul(a, pconj(b));
+  __m256 tmp = _mm256_mul_ps(b.v, b.v);
+  __m256 tmp2    = _mm256_shuffle_ps(tmp,tmp,0xB1);
+  __m256 denom = _mm256_add_ps(tmp, tmp2);
+  return Packet4cf(_mm256_div_ps(num.v, denom));
+}
+
+template<> EIGEN_STRONG_INLINE Packet4cf pcplxflip<Packet4cf>(const Packet4cf& x)
+{
+  return Packet4cf(_mm256_shuffle_ps(x.v, x.v, _MM_SHUFFLE(2, 3, 0 ,1)));
+}
+
+//---------- double ----------
+struct Packet2cd
+{
+  EIGEN_STRONG_INLINE Packet2cd() {}
+  EIGEN_STRONG_INLINE explicit Packet2cd(const __m256d& a) : v(a) {}
+  __m256d  v;
+};
+
+template<> struct packet_traits<std::complex<double> >  : default_packet_traits
+{
+  typedef Packet2cd type;
+  typedef Packet1cd half;
+  enum {
+    Vectorizable = 1,
+    AlignedOnScalar = 0,
+    size = 2,
+    HasHalfPacket = 1,
+
+    HasAdd    = 1,
+    HasSub    = 1,
+    HasMul    = 1,
+    HasDiv    = 1,
+    HasNegate = 1,
+    HasAbs    = 0,
+    HasAbs2   = 0,
+    HasMin    = 0,
+    HasMax    = 0,
+    HasSetLinear = 0
+  };
+};
+
+template<> struct unpacket_traits<Packet2cd> { typedef std::complex<double> type; enum {size=2, alignment=Aligned32}; typedef Packet1cd half; };
+
+template<> EIGEN_STRONG_INLINE Packet2cd padd<Packet2cd>(const Packet2cd& a, const Packet2cd& b) { return Packet2cd(_mm256_add_pd(a.v,b.v)); }
+template<> EIGEN_STRONG_INLINE Packet2cd psub<Packet2cd>(const Packet2cd& a, const Packet2cd& b) { return Packet2cd(_mm256_sub_pd(a.v,b.v)); }
+template<> EIGEN_STRONG_INLINE Packet2cd pnegate(const Packet2cd& a) { return Packet2cd(pnegate(a.v)); }
+template<> EIGEN_STRONG_INLINE Packet2cd pconj(const Packet2cd& a)
+{
+  const __m256d mask = _mm256_castsi256_pd(_mm256_set_epi32(0x80000000,0x0,0x0,0x0,0x80000000,0x0,0x0,0x0));
+  return Packet2cd(_mm256_xor_pd(a.v,mask));
+}
+
+template<> EIGEN_STRONG_INLINE Packet2cd pmul<Packet2cd>(const Packet2cd& a, const Packet2cd& b)
+{
+  __m256d tmp1 = _mm256_shuffle_pd(a.v,a.v,0x0);
+  __m256d even = _mm256_mul_pd(tmp1, b.v);
+  __m256d tmp2 = _mm256_shuffle_pd(a.v,a.v,0xF);
+  __m256d tmp3 = _mm256_shuffle_pd(b.v,b.v,0x5);
+  __m256d odd  = _mm256_mul_pd(tmp2, tmp3);
+  return Packet2cd(_mm256_addsub_pd(even, odd));
+}
+
+template<> EIGEN_STRONG_INLINE Packet2cd pand   <Packet2cd>(const Packet2cd& a, const Packet2cd& b) { return Packet2cd(_mm256_and_pd(a.v,b.v)); }
+template<> EIGEN_STRONG_INLINE Packet2cd por    <Packet2cd>(const Packet2cd& a, const Packet2cd& b) { return Packet2cd(_mm256_or_pd(a.v,b.v)); }
+template<> EIGEN_STRONG_INLINE Packet2cd pxor   <Packet2cd>(const Packet2cd& a, const Packet2cd& b) { return Packet2cd(_mm256_xor_pd(a.v,b.v)); }
+template<> EIGEN_STRONG_INLINE Packet2cd pandnot<Packet2cd>(const Packet2cd& a, const Packet2cd& b) { return Packet2cd(_mm256_andnot_pd(a.v,b.v)); }
+
+template<> EIGEN_STRONG_INLINE Packet2cd pload <Packet2cd>(const std::complex<double>* from)
+{ EIGEN_DEBUG_ALIGNED_LOAD return Packet2cd(pload<Packet4d>((const double*)from)); }
+template<> EIGEN_STRONG_INLINE Packet2cd ploadu<Packet2cd>(const std::complex<double>* from)
+{ EIGEN_DEBUG_UNALIGNED_LOAD return Packet2cd(ploadu<Packet4d>((const double*)from)); }
+
+template<> EIGEN_STRONG_INLINE Packet2cd pset1<Packet2cd>(const std::complex<double>& from)
+{
+  // in case casting to a __m128d* is really not safe, then we can still fallback to this version: (much slower though)
+//   return Packet2cd(_mm256_loadu2_m128d((const double*)&from,(const double*)&from));
+    return Packet2cd(_mm256_broadcast_pd((const __m128d*)(const void*)&from));
+}
+
+template<> EIGEN_STRONG_INLINE Packet2cd ploaddup<Packet2cd>(const std::complex<double>* from) { return pset1<Packet2cd>(*from); }
+
+template<> EIGEN_STRONG_INLINE void pstore <std::complex<double> >(std::complex<double> *   to, const Packet2cd& from) { EIGEN_DEBUG_ALIGNED_STORE pstore((double*)to, from.v); }
+template<> EIGEN_STRONG_INLINE void pstoreu<std::complex<double> >(std::complex<double> *   to, const Packet2cd& from) { EIGEN_DEBUG_UNALIGNED_STORE pstoreu((double*)to, from.v); }
+
+template<> EIGEN_DEVICE_FUNC inline Packet2cd pgather<std::complex<double>, Packet2cd>(const std::complex<double>* from, Index stride)
+{
+  return Packet2cd(_mm256_set_pd(std::imag(from[1*stride]), std::real(from[1*stride]),
+				 std::imag(from[0*stride]), std::real(from[0*stride])));
+}
+
+template<> EIGEN_DEVICE_FUNC inline void pscatter<std::complex<double>, Packet2cd>(std::complex<double>* to, const Packet2cd& from, Index stride)
+{
+  __m128d low = _mm256_extractf128_pd(from.v, 0);
+  to[stride*0] = std::complex<double>(_mm_cvtsd_f64(low), _mm_cvtsd_f64(_mm_shuffle_pd(low, low, 1)));
+  __m128d high = _mm256_extractf128_pd(from.v, 1);
+  to[stride*1] = std::complex<double>(_mm_cvtsd_f64(high), _mm_cvtsd_f64(_mm_shuffle_pd(high, high, 1)));
+}
+
+template<> EIGEN_STRONG_INLINE std::complex<double> pfirst<Packet2cd>(const Packet2cd& a)
+{
+  __m128d low = _mm256_extractf128_pd(a.v, 0);
+  EIGEN_ALIGN16 double res[2];
+  _mm_store_pd(res, low);
+  return std::complex<double>(res[0],res[1]);
+}
+
+template<> EIGEN_STRONG_INLINE Packet2cd preverse(const Packet2cd& a) {
+  __m256d result = _mm256_permute2f128_pd(a.v, a.v, 1);
+  return Packet2cd(result);
+}
+
+template<> EIGEN_STRONG_INLINE std::complex<double> predux<Packet2cd>(const Packet2cd& a)
+{
+  return predux(padd(Packet1cd(_mm256_extractf128_pd(a.v,0)),
+                     Packet1cd(_mm256_extractf128_pd(a.v,1))));
+}
+
+template<> EIGEN_STRONG_INLINE Packet2cd preduxp<Packet2cd>(const Packet2cd* vecs)
+{
+  Packet4d t0 = _mm256_permute2f128_pd(vecs[0].v,vecs[1].v, 0 + (2<<4));
+  Packet4d t1 = _mm256_permute2f128_pd(vecs[0].v,vecs[1].v, 1 + (3<<4));
+
+  return Packet2cd(_mm256_add_pd(t0,t1));
+}
+
+template<> EIGEN_STRONG_INLINE std::complex<double> predux_mul<Packet2cd>(const Packet2cd& a)
+{
+  return predux(pmul(Packet1cd(_mm256_extractf128_pd(a.v,0)),
+                     Packet1cd(_mm256_extractf128_pd(a.v,1))));
+}
+
+template<int Offset>
+struct palign_impl<Offset,Packet2cd>
+{
+  static EIGEN_STRONG_INLINE void run(Packet2cd& first, const Packet2cd& second)
+  {
+    if (Offset==0) return;
+    palign_impl<Offset*2,Packet4d>::run(first.v, second.v);
+  }
+};
+
+template<> struct conj_helper<Packet2cd, Packet2cd, false,true>
+{
+  EIGEN_STRONG_INLINE Packet2cd pmadd(const Packet2cd& x, const Packet2cd& y, const Packet2cd& c) const
+  { return padd(pmul(x,y),c); }
+
+  EIGEN_STRONG_INLINE Packet2cd pmul(const Packet2cd& a, const Packet2cd& b) const
+  {
+    return internal::pmul(a, pconj(b));
+  }
+};
+
+template<> struct conj_helper<Packet2cd, Packet2cd, true,false>
+{
+  EIGEN_STRONG_INLINE Packet2cd pmadd(const Packet2cd& x, const Packet2cd& y, const Packet2cd& c) const
+  { return padd(pmul(x,y),c); }
+
+  EIGEN_STRONG_INLINE Packet2cd pmul(const Packet2cd& a, const Packet2cd& b) const
+  {
+    return internal::pmul(pconj(a), b);
+  }
+};
+
+template<> struct conj_helper<Packet2cd, Packet2cd, true,true>
+{
+  EIGEN_STRONG_INLINE Packet2cd pmadd(const Packet2cd& x, const Packet2cd& y, const Packet2cd& c) const
+  { return padd(pmul(x,y),c); }
+
+  EIGEN_STRONG_INLINE Packet2cd pmul(const Packet2cd& a, const Packet2cd& b) const
+  {
+    return pconj(internal::pmul(a, b));
+  }
+};
+
+EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cd,Packet4d)
+
+template<> EIGEN_STRONG_INLINE Packet2cd pdiv<Packet2cd>(const Packet2cd& a, const Packet2cd& b)
+{
+  Packet2cd num = pmul(a, pconj(b));
+  __m256d tmp = _mm256_mul_pd(b.v, b.v);
+  __m256d denom = _mm256_hadd_pd(tmp, tmp);
+  return Packet2cd(_mm256_div_pd(num.v, denom));
+}
+
+template<> EIGEN_STRONG_INLINE Packet2cd pcplxflip<Packet2cd>(const Packet2cd& x)
+{
+  return Packet2cd(_mm256_shuffle_pd(x.v, x.v, 0x5));
+}
+
+EIGEN_DEVICE_FUNC inline void
+ptranspose(PacketBlock<Packet4cf,4>& kernel) {
+  __m256d P0 = _mm256_castps_pd(kernel.packet[0].v);
+  __m256d P1 = _mm256_castps_pd(kernel.packet[1].v);
+  __m256d P2 = _mm256_castps_pd(kernel.packet[2].v);
+  __m256d P3 = _mm256_castps_pd(kernel.packet[3].v);
+
+  __m256d T0 = _mm256_shuffle_pd(P0, P1, 15);
+  __m256d T1 = _mm256_shuffle_pd(P0, P1, 0);
+  __m256d T2 = _mm256_shuffle_pd(P2, P3, 15);
+  __m256d T3 = _mm256_shuffle_pd(P2, P3, 0);
+
+  kernel.packet[1].v = _mm256_castpd_ps(_mm256_permute2f128_pd(T0, T2, 32));
+  kernel.packet[3].v = _mm256_castpd_ps(_mm256_permute2f128_pd(T0, T2, 49));
+  kernel.packet[0].v = _mm256_castpd_ps(_mm256_permute2f128_pd(T1, T3, 32));
+  kernel.packet[2].v = _mm256_castpd_ps(_mm256_permute2f128_pd(T1, T3, 49));
+}
+
+EIGEN_DEVICE_FUNC inline void
+ptranspose(PacketBlock<Packet2cd,2>& kernel) {
+  __m256d tmp = _mm256_permute2f128_pd(kernel.packet[0].v, kernel.packet[1].v, 0+(2<<4));
+  kernel.packet[1].v = _mm256_permute2f128_pd(kernel.packet[0].v, kernel.packet[1].v, 1+(3<<4));
+ kernel.packet[0].v = tmp;
+}
+
+template<> EIGEN_STRONG_INLINE Packet4cf pinsertfirst(const Packet4cf& a, std::complex<float> b)
+{
+  return Packet4cf(_mm256_blend_ps(a.v,pset1<Packet4cf>(b).v,1|2));
+}
+
+template<> EIGEN_STRONG_INLINE Packet2cd pinsertfirst(const Packet2cd& a, std::complex<double> b)
+{
+  return Packet2cd(_mm256_blend_pd(a.v,pset1<Packet2cd>(b).v,1|2));
+}
+
+template<> EIGEN_STRONG_INLINE Packet4cf pinsertlast(const Packet4cf& a, std::complex<float> b)
+{
+  return Packet4cf(_mm256_blend_ps(a.v,pset1<Packet4cf>(b).v,(1<<7)|(1<<6)));
+}
+
+template<> EIGEN_STRONG_INLINE Packet2cd pinsertlast(const Packet2cd& a, std::complex<double> b)
+{
+  return Packet2cd(_mm256_blend_pd(a.v,pset1<Packet2cd>(b).v,(1<<3)|(1<<2)));
+}
+
+} // end namespace internal
+
+} // end namespace Eigen
+
+#endif // EIGEN_COMPLEX_AVX_H
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/arch/AVX/TypeCasting.h
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/arch/AVX/TypeCasting.h	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/arch/AVX/TypeCasting.h	(revision 3761)
@@ -0,0 +1,51 @@
+// This file is part of Eigen, a lightweight C++ template library
+// for linear algebra.
+//
+// Copyright (C) 2015 Benoit Steiner <benoit.steiner.goog@gmail.com>
+//
+// This Source Code Form is subject to the terms of the Mozilla
+// Public License v. 2.0. If a copy of the MPL was not distributed
+// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
+
+#ifndef EIGEN_TYPE_CASTING_AVX_H
+#define EIGEN_TYPE_CASTING_AVX_H
+
+namespace Eigen {
+
+namespace internal {
+
+// For now we use SSE to handle integers, so we can't use AVX instructions to cast
+// from int to float
+template <>
+struct type_casting_traits<float, int> {
+  enum {
+    VectorizedCast = 0,
+    SrcCoeffRatio = 1,
+    TgtCoeffRatio = 1
+  };
+};
+
+template <>
+struct type_casting_traits<int, float> {
+  enum {
+    VectorizedCast = 0,
+    SrcCoeffRatio = 1,
+    TgtCoeffRatio = 1
+  };
+};
+
+
+
+template<> EIGEN_STRONG_INLINE Packet8i pcast<Packet8f, Packet8i>(const Packet8f& a) {
+  return _mm256_cvtps_epi32(a);
+}
+
+template<> EIGEN_STRONG_INLINE Packet8f pcast<Packet8i, Packet8f>(const Packet8i& a) {
+  return _mm256_cvtepi32_ps(a);
+}
+
+} // end namespace internal
+
+} // end namespace Eigen
+
+#endif // EIGEN_TYPE_CASTING_AVX_H
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/arch/NEON/Complex.h
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/arch/NEON/Complex.h	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/arch/NEON/Complex.h	(revision 3761)
@@ -0,0 +1,490 @@
+// This file is part of Eigen, a lightweight C++ template library
+// for linear algebra.
+//
+// Copyright (C) 2010 Gael Guennebaud <gael.guennebaud@inria.fr>
+// Copyright (C) 2010 Konstantinos Margaritis <markos@freevec.org>
+//
+// This Source Code Form is subject to the terms of the Mozilla
+// Public License v. 2.0. If a copy of the MPL was not distributed
+// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
+
+#ifndef EIGEN_COMPLEX_NEON_H
+#define EIGEN_COMPLEX_NEON_H
+
+namespace Eigen {
+
+namespace internal {
+
+inline uint32x4_t p4ui_CONJ_XOR() {
+// See bug 1325, clang fails to call vld1q_u64.
+#if EIGEN_COMP_CLANG
+  uint32x4_t ret = { 0x00000000, 0x80000000, 0x00000000, 0x80000000 };
+  return ret;
+#else
+  static const uint32_t conj_XOR_DATA[] = { 0x00000000, 0x80000000, 0x00000000, 0x80000000 };
+  return vld1q_u32( conj_XOR_DATA );
+#endif
+}
+
+inline uint32x2_t p2ui_CONJ_XOR() {
+  static const uint32_t conj_XOR_DATA[] = { 0x00000000, 0x80000000 };
+  return vld1_u32( conj_XOR_DATA );
+}
+
+//---------- float ----------
+struct Packet2cf
+{
+  EIGEN_STRONG_INLINE Packet2cf() {}
+  EIGEN_STRONG_INLINE explicit Packet2cf(const Packet4f& a) : v(a) {}
+  Packet4f  v;
+};
+
+template<> struct packet_traits<std::complex<float> >  : default_packet_traits
+{
+  typedef Packet2cf type;
+  typedef Packet2cf half;
+  enum {
+    Vectorizable = 1,
+    AlignedOnScalar = 1,
+    size = 2,
+    HasHalfPacket = 0,
+
+    HasAdd    = 1,
+    HasSub    = 1,
+    HasMul    = 1,
+    HasDiv    = 1,
+    HasNegate = 1,
+    HasAbs    = 0,
+    HasAbs2   = 0,
+    HasMin    = 0,
+    HasMax    = 0,
+    HasSetLinear = 0
+  };
+};
+
+template<> struct unpacket_traits<Packet2cf> { typedef std::complex<float> type; enum {size=2, alignment=Aligned16}; typedef Packet2cf half; };
+
+template<> EIGEN_STRONG_INLINE Packet2cf pset1<Packet2cf>(const std::complex<float>&  from)
+{
+  float32x2_t r64;
+  r64 = vld1_f32((const float *)&from);
+
+  return Packet2cf(vcombine_f32(r64, r64));
+}
+
+template<> EIGEN_STRONG_INLINE Packet2cf padd<Packet2cf>(const Packet2cf& a, const Packet2cf& b) { return Packet2cf(padd<Packet4f>(a.v,b.v)); }
+template<> EIGEN_STRONG_INLINE Packet2cf psub<Packet2cf>(const Packet2cf& a, const Packet2cf& b) { return Packet2cf(psub<Packet4f>(a.v,b.v)); }
+template<> EIGEN_STRONG_INLINE Packet2cf pnegate(const Packet2cf& a) { return Packet2cf(pnegate<Packet4f>(a.v)); }
+template<> EIGEN_STRONG_INLINE Packet2cf pconj(const Packet2cf& a)
+{
+  Packet4ui b = vreinterpretq_u32_f32(a.v);
+  return Packet2cf(vreinterpretq_f32_u32(veorq_u32(b, p4ui_CONJ_XOR())));
+}
+
+template<> EIGEN_STRONG_INLINE Packet2cf pmul<Packet2cf>(const Packet2cf& a, const Packet2cf& b)
+{
+  Packet4f v1, v2;
+
+  // Get the real values of a | a1_re | a1_re | a2_re | a2_re |
+  v1 = vcombine_f32(vdup_lane_f32(vget_low_f32(a.v), 0), vdup_lane_f32(vget_high_f32(a.v), 0));
+  // Get the imag values of a | a1_im | a1_im | a2_im | a2_im |
+  v2 = vcombine_f32(vdup_lane_f32(vget_low_f32(a.v), 1), vdup_lane_f32(vget_high_f32(a.v), 1));
+  // Multiply the real a with b
+  v1 = vmulq_f32(v1, b.v);
+  // Multiply the imag a with b
+  v2 = vmulq_f32(v2, b.v);
+  // Conjugate v2 
+  v2 = vreinterpretq_f32_u32(veorq_u32(vreinterpretq_u32_f32(v2), p4ui_CONJ_XOR()));
+  // Swap real/imag elements in v2.
+  v2 = vrev64q_f32(v2);
+  // Add and return the result
+  return Packet2cf(vaddq_f32(v1, v2));
+}
+
+template<> EIGEN_STRONG_INLINE Packet2cf pand   <Packet2cf>(const Packet2cf& a, const Packet2cf& b)
+{
+  return Packet2cf(vreinterpretq_f32_u32(vandq_u32(vreinterpretq_u32_f32(a.v),vreinterpretq_u32_f32(b.v))));
+}
+template<> EIGEN_STRONG_INLINE Packet2cf por    <Packet2cf>(const Packet2cf& a, const Packet2cf& b)
+{
+  return Packet2cf(vreinterpretq_f32_u32(vorrq_u32(vreinterpretq_u32_f32(a.v),vreinterpretq_u32_f32(b.v))));
+}
+template<> EIGEN_STRONG_INLINE Packet2cf pxor   <Packet2cf>(const Packet2cf& a, const Packet2cf& b)
+{
+  return Packet2cf(vreinterpretq_f32_u32(veorq_u32(vreinterpretq_u32_f32(a.v),vreinterpretq_u32_f32(b.v))));
+}
+template<> EIGEN_STRONG_INLINE Packet2cf pandnot<Packet2cf>(const Packet2cf& a, const Packet2cf& b)
+{
+  return Packet2cf(vreinterpretq_f32_u32(vbicq_u32(vreinterpretq_u32_f32(a.v),vreinterpretq_u32_f32(b.v))));
+}
+
+template<> EIGEN_STRONG_INLINE Packet2cf pload<Packet2cf>(const std::complex<float>* from) { EIGEN_DEBUG_ALIGNED_LOAD return Packet2cf(pload<Packet4f>((const float*)from)); }
+template<> EIGEN_STRONG_INLINE Packet2cf ploadu<Packet2cf>(const std::complex<float>* from) { EIGEN_DEBUG_UNALIGNED_LOAD return Packet2cf(ploadu<Packet4f>((const float*)from)); }
+
+template<> EIGEN_STRONG_INLINE Packet2cf ploaddup<Packet2cf>(const std::complex<float>* from) { return pset1<Packet2cf>(*from); }
+
+template<> EIGEN_STRONG_INLINE void pstore <std::complex<float> >(std::complex<float> *   to, const Packet2cf& from) { EIGEN_DEBUG_ALIGNED_STORE pstore((float*)to, from.v); }
+template<> EIGEN_STRONG_INLINE void pstoreu<std::complex<float> >(std::complex<float> *   to, const Packet2cf& from) { EIGEN_DEBUG_UNALIGNED_STORE pstoreu((float*)to, from.v); }
+
+template<> EIGEN_DEVICE_FUNC inline Packet2cf pgather<std::complex<float>, Packet2cf>(const std::complex<float>* from, Index stride)
+{
+  Packet4f res = pset1<Packet4f>(0.f);
+  res = vsetq_lane_f32(std::real(from[0*stride]), res, 0);
+  res = vsetq_lane_f32(std::imag(from[0*stride]), res, 1);
+  res = vsetq_lane_f32(std::real(from[1*stride]), res, 2);
+  res = vsetq_lane_f32(std::imag(from[1*stride]), res, 3);
+  return Packet2cf(res);
+}
+
+template<> EIGEN_DEVICE_FUNC inline void pscatter<std::complex<float>, Packet2cf>(std::complex<float>* to, const Packet2cf& from, Index stride)
+{
+  to[stride*0] = std::complex<float>(vgetq_lane_f32(from.v, 0), vgetq_lane_f32(from.v, 1));
+  to[stride*1] = std::complex<float>(vgetq_lane_f32(from.v, 2), vgetq_lane_f32(from.v, 3));
+}
+
+template<> EIGEN_STRONG_INLINE void prefetch<std::complex<float> >(const std::complex<float> *   addr) { EIGEN_ARM_PREFETCH((const float *)addr); }
+
+template<> EIGEN_STRONG_INLINE std::complex<float>  pfirst<Packet2cf>(const Packet2cf& a)
+{
+  std::complex<float> EIGEN_ALIGN16 x[2];
+  vst1q_f32((float *)x, a.v);
+  return x[0];
+}
+
+template<> EIGEN_STRONG_INLINE Packet2cf preverse(const Packet2cf& a)
+{
+  float32x2_t a_lo, a_hi;
+  Packet4f a_r128;
+
+  a_lo = vget_low_f32(a.v);
+  a_hi = vget_high_f32(a.v);
+  a_r128 = vcombine_f32(a_hi, a_lo);
+
+  return Packet2cf(a_r128);
+}
+
+template<> EIGEN_STRONG_INLINE Packet2cf pcplxflip<Packet2cf>(const Packet2cf& a)
+{
+  return Packet2cf(vrev64q_f32(a.v));
+}
+
+template<> EIGEN_STRONG_INLINE std::complex<float> predux<Packet2cf>(const Packet2cf& a)
+{
+  float32x2_t a1, a2;
+  std::complex<float> s;
+
+  a1 = vget_low_f32(a.v);
+  a2 = vget_high_f32(a.v);
+  a2 = vadd_f32(a1, a2);
+  vst1_f32((float *)&s, a2);
+
+  return s;
+}
+
+template<> EIGEN_STRONG_INLINE Packet2cf preduxp<Packet2cf>(const Packet2cf* vecs)
+{
+  Packet4f sum1, sum2, sum;
+
+  // Add the first two 64-bit float32x2_t of vecs[0]
+  sum1 = vcombine_f32(vget_low_f32(vecs[0].v), vget_low_f32(vecs[1].v));
+  sum2 = vcombine_f32(vget_high_f32(vecs[0].v), vget_high_f32(vecs[1].v));
+  sum = vaddq_f32(sum1, sum2);
+
+  return Packet2cf(sum);
+}
+
+template<> EIGEN_STRONG_INLINE std::complex<float> predux_mul<Packet2cf>(const Packet2cf& a)
+{
+  float32x2_t a1, a2, v1, v2, prod;
+  std::complex<float> s;
+
+  a1 = vget_low_f32(a.v);
+  a2 = vget_high_f32(a.v);
+   // Get the real values of a | a1_re | a1_re | a2_re | a2_re |
+  v1 = vdup_lane_f32(a1, 0);
+  // Get the real values of a | a1_im | a1_im | a2_im | a2_im |
+  v2 = vdup_lane_f32(a1, 1);
+  // Multiply the real a with b
+  v1 = vmul_f32(v1, a2);
+  // Multiply the imag a with b
+  v2 = vmul_f32(v2, a2);
+  // Conjugate v2 
+  v2 = vreinterpret_f32_u32(veor_u32(vreinterpret_u32_f32(v2), p2ui_CONJ_XOR()));
+  // Swap real/imag elements in v2.
+  v2 = vrev64_f32(v2);
+  // Add v1, v2
+  prod = vadd_f32(v1, v2);
+
+  vst1_f32((float *)&s, prod);
+
+  return s;
+}
+
+template<int Offset>
+struct palign_impl<Offset,Packet2cf>
+{
+  EIGEN_STRONG_INLINE static void run(Packet2cf& first, const Packet2cf& second)
+  {
+    if (Offset==1)
+    {
+      first.v = vextq_f32(first.v, second.v, 2);
+    }
+  }
+};
+
+template<> struct conj_helper<Packet2cf, Packet2cf, false,true>
+{
+  EIGEN_STRONG_INLINE Packet2cf pmadd(const Packet2cf& x, const Packet2cf& y, const Packet2cf& c) const
+  { return padd(pmul(x,y),c); }
+
+  EIGEN_STRONG_INLINE Packet2cf pmul(const Packet2cf& a, const Packet2cf& b) const
+  {
+    return internal::pmul(a, pconj(b));
+  }
+};
+
+template<> struct conj_helper<Packet2cf, Packet2cf, true,false>
+{
+  EIGEN_STRONG_INLINE Packet2cf pmadd(const Packet2cf& x, const Packet2cf& y, const Packet2cf& c) const
+  { return padd(pmul(x,y),c); }
+
+  EIGEN_STRONG_INLINE Packet2cf pmul(const Packet2cf& a, const Packet2cf& b) const
+  {
+    return internal::pmul(pconj(a), b);
+  }
+};
+
+template<> struct conj_helper<Packet2cf, Packet2cf, true,true>
+{
+  EIGEN_STRONG_INLINE Packet2cf pmadd(const Packet2cf& x, const Packet2cf& y, const Packet2cf& c) const
+  { return padd(pmul(x,y),c); }
+
+  EIGEN_STRONG_INLINE Packet2cf pmul(const Packet2cf& a, const Packet2cf& b) const
+  {
+    return pconj(internal::pmul(a, b));
+  }
+};
+
+EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f)
+
+template<> EIGEN_STRONG_INLINE Packet2cf pdiv<Packet2cf>(const Packet2cf& a, const Packet2cf& b)
+{
+  // TODO optimize it for NEON
+  Packet2cf res = conj_helper<Packet2cf,Packet2cf,false,true>().pmul(a,b);
+  Packet4f s, rev_s;
+
+  // this computes the norm
+  s = vmulq_f32(b.v, b.v);
+  rev_s = vrev64q_f32(s);
+
+  return Packet2cf(pdiv<Packet4f>(res.v, vaddq_f32(s,rev_s)));
+}
+
+EIGEN_DEVICE_FUNC inline void
+ptranspose(PacketBlock<Packet2cf,2>& kernel) {
+  Packet4f tmp = vcombine_f32(vget_high_f32(kernel.packet[0].v), vget_high_f32(kernel.packet[1].v));
+  kernel.packet[0].v = vcombine_f32(vget_low_f32(kernel.packet[0].v), vget_low_f32(kernel.packet[1].v));
+  kernel.packet[1].v = tmp;
+}
+
+//---------- double ----------
+#if EIGEN_ARCH_ARM64 && !EIGEN_APPLE_DOUBLE_NEON_BUG
+
+// See bug 1325, clang fails to call vld1q_u64.
+#if EIGEN_COMP_CLANG
+  static uint64x2_t p2ul_CONJ_XOR = {0x0, 0x8000000000000000};
+#else
+  const uint64_t  p2ul_conj_XOR_DATA[] = { 0x0, 0x8000000000000000 };
+  static uint64x2_t p2ul_CONJ_XOR = vld1q_u64( p2ul_conj_XOR_DATA );
+#endif
+
+struct Packet1cd
+{
+  EIGEN_STRONG_INLINE Packet1cd() {}
+  EIGEN_STRONG_INLINE explicit Packet1cd(const Packet2d& a) : v(a) {}
+  Packet2d v;
+};
+
+template<> struct packet_traits<std::complex<double> >  : default_packet_traits
+{
+  typedef Packet1cd type;
+  typedef Packet1cd half;
+  enum {
+    Vectorizable = 1,
+    AlignedOnScalar = 0,
+    size = 1,
+    HasHalfPacket = 0,
+
+    HasAdd    = 1,
+    HasSub    = 1,
+    HasMul    = 1,
+    HasDiv    = 1,
+    HasNegate = 1,
+    HasAbs    = 0,
+    HasAbs2   = 0,
+    HasMin    = 0,
+    HasMax    = 0,
+    HasSetLinear = 0
+  };
+};
+
+template<> struct unpacket_traits<Packet1cd> { typedef std::complex<double> type; enum {size=1, alignment=Aligned16}; typedef Packet1cd half; };
+
+template<> EIGEN_STRONG_INLINE Packet1cd pload<Packet1cd>(const std::complex<double>* from) { EIGEN_DEBUG_ALIGNED_LOAD return Packet1cd(pload<Packet2d>((const double*)from)); }
+template<> EIGEN_STRONG_INLINE Packet1cd ploadu<Packet1cd>(const std::complex<double>* from) { EIGEN_DEBUG_UNALIGNED_LOAD return Packet1cd(ploadu<Packet2d>((const double*)from)); }
+
+template<> EIGEN_STRONG_INLINE Packet1cd pset1<Packet1cd>(const std::complex<double>&  from)
+{ /* here we really have to use unaligned loads :( */ return ploadu<Packet1cd>(&from); }
+
+template<> EIGEN_STRONG_INLINE Packet1cd padd<Packet1cd>(const Packet1cd& a, const Packet1cd& b) { return Packet1cd(padd<Packet2d>(a.v,b.v)); }
+template<> EIGEN_STRONG_INLINE Packet1cd psub<Packet1cd>(const Packet1cd& a, const Packet1cd& b) { return Packet1cd(psub<Packet2d>(a.v,b.v)); }
+template<> EIGEN_STRONG_INLINE Packet1cd pnegate(const Packet1cd& a) { return Packet1cd(pnegate<Packet2d>(a.v)); }
+template<> EIGEN_STRONG_INLINE Packet1cd pconj(const Packet1cd& a) { return Packet1cd(vreinterpretq_f64_u64(veorq_u64(vreinterpretq_u64_f64(a.v), p2ul_CONJ_XOR))); }
+
+template<> EIGEN_STRONG_INLINE Packet1cd pmul<Packet1cd>(const Packet1cd& a, const Packet1cd& b)
+{
+  Packet2d v1, v2;
+
+  // Get the real values of a 
+  v1 = vdupq_lane_f64(vget_low_f64(a.v), 0);
+  // Get the imag values of a
+  v2 = vdupq_lane_f64(vget_high_f64(a.v), 0);
+  // Multiply the real a with b
+  v1 = vmulq_f64(v1, b.v);
+  // Multiply the imag a with b
+  v2 = vmulq_f64(v2, b.v);
+  // Conjugate v2 
+  v2 = vreinterpretq_f64_u64(veorq_u64(vreinterpretq_u64_f64(v2), p2ul_CONJ_XOR));
+  // Swap real/imag elements in v2.
+  v2 = preverse<Packet2d>(v2);
+  // Add and return the result
+  return Packet1cd(vaddq_f64(v1, v2));
+}
+
+template<> EIGEN_STRONG_INLINE Packet1cd pand   <Packet1cd>(const Packet1cd& a, const Packet1cd& b)
+{
+  return Packet1cd(vreinterpretq_f64_u64(vandq_u64(vreinterpretq_u64_f64(a.v),vreinterpretq_u64_f64(b.v))));
+}
+template<> EIGEN_STRONG_INLINE Packet1cd por    <Packet1cd>(const Packet1cd& a, const Packet1cd& b)
+{
+  return Packet1cd(vreinterpretq_f64_u64(vorrq_u64(vreinterpretq_u64_f64(a.v),vreinterpretq_u64_f64(b.v))));
+}
+template<> EIGEN_STRONG_INLINE Packet1cd pxor   <Packet1cd>(const Packet1cd& a, const Packet1cd& b)
+{
+  return Packet1cd(vreinterpretq_f64_u64(veorq_u64(vreinterpretq_u64_f64(a.v),vreinterpretq_u64_f64(b.v))));
+}
+template<> EIGEN_STRONG_INLINE Packet1cd pandnot<Packet1cd>(const Packet1cd& a, const Packet1cd& b)
+{
+  return Packet1cd(vreinterpretq_f64_u64(vbicq_u64(vreinterpretq_u64_f64(a.v),vreinterpretq_u64_f64(b.v))));
+}
+
+template<> EIGEN_STRONG_INLINE Packet1cd ploaddup<Packet1cd>(const std::complex<double>* from) { return pset1<Packet1cd>(*from); }
+
+template<> EIGEN_STRONG_INLINE void pstore <std::complex<double> >(std::complex<double> *   to, const Packet1cd& from) { EIGEN_DEBUG_ALIGNED_STORE pstore((double*)to, from.v); }
+template<> EIGEN_STRONG_INLINE void pstoreu<std::complex<double> >(std::complex<double> *   to, const Packet1cd& from) { EIGEN_DEBUG_UNALIGNED_STORE pstoreu((double*)to, from.v); }
+
+template<> EIGEN_STRONG_INLINE void prefetch<std::complex<double> >(const std::complex<double> *   addr) { EIGEN_ARM_PREFETCH((const double *)addr); }
+
+template<> EIGEN_DEVICE_FUNC inline Packet1cd pgather<std::complex<double>, Packet1cd>(const std::complex<double>* from, Index stride)
+{
+  Packet2d res = pset1<Packet2d>(0.0);
+  res = vsetq_lane_f64(std::real(from[0*stride]), res, 0);
+  res = vsetq_lane_f64(std::imag(from[0*stride]), res, 1);
+  return Packet1cd(res);
+}
+
+template<> EIGEN_DEVICE_FUNC inline void pscatter<std::complex<double>, Packet1cd>(std::complex<double>* to, const Packet1cd& from, Index stride)
+{
+  to[stride*0] = std::complex<double>(vgetq_lane_f64(from.v, 0), vgetq_lane_f64(from.v, 1));
+}
+
+
+template<> EIGEN_STRONG_INLINE std::complex<double>  pfirst<Packet1cd>(const Packet1cd& a)
+{
+  std::complex<double> EIGEN_ALIGN16 res;
+  pstore<std::complex<double> >(&res, a);
+
+  return res;
+}
+
+template<> EIGEN_STRONG_INLINE Packet1cd preverse(const Packet1cd& a) { return a; }
+
+template<> EIGEN_STRONG_INLINE std::complex<double> predux<Packet1cd>(const Packet1cd& a) { return pfirst(a); }
+
+template<> EIGEN_STRONG_INLINE Packet1cd preduxp<Packet1cd>(const Packet1cd* vecs) { return vecs[0]; }
+
+template<> EIGEN_STRONG_INLINE std::complex<double> predux_mul<Packet1cd>(const Packet1cd& a) { return pfirst(a); }
+
+template<int Offset>
+struct palign_impl<Offset,Packet1cd>
+{
+  static EIGEN_STRONG_INLINE void run(Packet1cd& /*first*/, const Packet1cd& /*second*/)
+  {
+    // FIXME is it sure we never have to align a Packet1cd?
+    // Even though a std::complex<double> has 16 bytes, it is not necessarily aligned on a 16 bytes boundary...
+  }
+};
+
+template<> struct conj_helper<Packet1cd, Packet1cd, false,true>
+{
+  EIGEN_STRONG_INLINE Packet1cd pmadd(const Packet1cd& x, const Packet1cd& y, const Packet1cd& c) const
+  { return padd(pmul(x,y),c); }
+
+  EIGEN_STRONG_INLINE Packet1cd pmul(const Packet1cd& a, const Packet1cd& b) const
+  {
+    return internal::pmul(a, pconj(b));
+  }
+};
+
+template<> struct conj_helper<Packet1cd, Packet1cd, true,false>
+{
+  EIGEN_STRONG_INLINE Packet1cd pmadd(const Packet1cd& x, const Packet1cd& y, const Packet1cd& c) const
+  { return padd(pmul(x,y),c); }
+
+  EIGEN_STRONG_INLINE Packet1cd pmul(const Packet1cd& a, const Packet1cd& b) const
+  {
+    return internal::pmul(pconj(a), b);
+  }
+};
+
+template<> struct conj_helper<Packet1cd, Packet1cd, true,true>
+{
+  EIGEN_STRONG_INLINE Packet1cd pmadd(const Packet1cd& x, const Packet1cd& y, const Packet1cd& c) const
+  { return padd(pmul(x,y),c); }
+
+  EIGEN_STRONG_INLINE Packet1cd pmul(const Packet1cd& a, const Packet1cd& b) const
+  {
+    return pconj(internal::pmul(a, b));
+  }
+};
+
+EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d)
+
+template<> EIGEN_STRONG_INLINE Packet1cd pdiv<Packet1cd>(const Packet1cd& a, const Packet1cd& b)
+{
+  // TODO optimize it for NEON
+  Packet1cd res = conj_helper<Packet1cd,Packet1cd,false,true>().pmul(a,b);
+  Packet2d s = pmul<Packet2d>(b.v, b.v);
+  Packet2d rev_s = preverse<Packet2d>(s);
+
+  return Packet1cd(pdiv(res.v, padd<Packet2d>(s,rev_s)));
+}
+
+EIGEN_STRONG_INLINE Packet1cd pcplxflip/*<Packet1cd>*/(const Packet1cd& x)
+{
+  return Packet1cd(preverse(Packet2d(x.v)));
+}
+
+EIGEN_STRONG_INLINE void ptranspose(PacketBlock<Packet1cd,2>& kernel)
+{
+  Packet2d tmp = vcombine_f64(vget_high_f64(kernel.packet[0].v), vget_high_f64(kernel.packet[1].v));
+  kernel.packet[0].v = vcombine_f64(vget_low_f64(kernel.packet[0].v), vget_low_f64(kernel.packet[1].v));
+  kernel.packet[1].v = tmp;
+}
+#endif // EIGEN_ARCH_ARM64
+
+} // end namespace internal
+
+} // end namespace Eigen
+
+#endif // EIGEN_COMPLEX_NEON_H
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/arch/NEON/PacketMath.h
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/arch/NEON/PacketMath.h	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/arch/NEON/PacketMath.h	(revision 3761)
@@ -0,0 +1,760 @@
+// This file is part of Eigen, a lightweight C++ template library
+// for linear algebra.
+//
+// Copyright (C) 2008-2009 Gael Guennebaud <gael.guennebaud@inria.fr>
+// Copyright (C) 2010 Konstantinos Margaritis <markos@freevec.org>
+// Heavily based on Gael's SSE version.
+//
+// This Source Code Form is subject to the terms of the Mozilla
+// Public License v. 2.0. If a copy of the MPL was not distributed
+// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
+
+#ifndef EIGEN_PACKET_MATH_NEON_H
+#define EIGEN_PACKET_MATH_NEON_H
+
+namespace Eigen {
+
+namespace internal {
+
+#ifndef EIGEN_CACHEFRIENDLY_PRODUCT_THRESHOLD
+#define EIGEN_CACHEFRIENDLY_PRODUCT_THRESHOLD 8
+#endif
+
+#ifndef EIGEN_HAS_SINGLE_INSTRUCTION_MADD
+#define EIGEN_HAS_SINGLE_INSTRUCTION_MADD
+#endif
+
+#ifndef EIGEN_HAS_SINGLE_INSTRUCTION_CJMADD
+#define EIGEN_HAS_SINGLE_INSTRUCTION_CJMADD
+#endif
+
+#ifndef EIGEN_ARCH_DEFAULT_NUMBER_OF_REGISTERS
+#if EIGEN_ARCH_ARM64
+#define EIGEN_ARCH_DEFAULT_NUMBER_OF_REGISTERS 32
+#else
+#define EIGEN_ARCH_DEFAULT_NUMBER_OF_REGISTERS 16 
+#endif
+#endif
+
+#if EIGEN_COMP_MSVC
+
+// In MSVC's arm_neon.h header file, all NEON vector types
+// are aliases to the same underlying type __n128.
+// We thus have to wrap them to make them different C++ types.
+// (See also bug 1428)
+
+template<typename T,int unique_id>
+struct eigen_packet_wrapper
+{
+  operator T&() { return m_val; }
+  operator const T&() const { return m_val; }
+  eigen_packet_wrapper() {}
+  eigen_packet_wrapper(const T &v) : m_val(v) {}
+  eigen_packet_wrapper& operator=(const T &v) {
+    m_val = v;
+    return *this;
+  }
+
+  T m_val;
+};
+typedef eigen_packet_wrapper<float32x2_t,0> Packet2f;
+typedef eigen_packet_wrapper<float32x4_t,1> Packet4f;
+typedef eigen_packet_wrapper<int32x4_t  ,2> Packet4i;
+typedef eigen_packet_wrapper<int32x2_t  ,3> Packet2i;
+typedef eigen_packet_wrapper<uint32x4_t ,4> Packet4ui;
+
+#else
+
+typedef float32x2_t Packet2f;
+typedef float32x4_t Packet4f;
+typedef int32x4_t   Packet4i;
+typedef int32x2_t   Packet2i;
+typedef uint32x4_t  Packet4ui;
+
+#endif // EIGEN_COMP_MSVC
+
+#define _EIGEN_DECLARE_CONST_Packet4f(NAME,X) \
+  const Packet4f p4f_##NAME = pset1<Packet4f>(X)
+
+#define _EIGEN_DECLARE_CONST_Packet4f_FROM_INT(NAME,X) \
+  const Packet4f p4f_##NAME = vreinterpretq_f32_u32(pset1<int32_t>(X))
+
+#define _EIGEN_DECLARE_CONST_Packet4i(NAME,X) \
+  const Packet4i p4i_##NAME = pset1<Packet4i>(X)
+
+#if EIGEN_ARCH_ARM64
+  // __builtin_prefetch tends to do nothing on ARM64 compilers because the
+  // prefetch instructions there are too detailed for __builtin_prefetch to map
+  // meaningfully to them.
+  #define EIGEN_ARM_PREFETCH(ADDR)  __asm__ __volatile__("prfm pldl1keep, [%[addr]]\n" ::[addr] "r"(ADDR) : );
+#elif EIGEN_HAS_BUILTIN(__builtin_prefetch) || EIGEN_COMP_GNUC
+  #define EIGEN_ARM_PREFETCH(ADDR) __builtin_prefetch(ADDR);
+#elif defined __pld
+  #define EIGEN_ARM_PREFETCH(ADDR) __pld(ADDR)
+#elif EIGEN_ARCH_ARM32
+  #define EIGEN_ARM_PREFETCH(ADDR) __asm__ __volatile__ ("pld [%[addr]]\n" :: [addr] "r" (ADDR) : );
+#else
+  // by default no explicit prefetching
+  #define EIGEN_ARM_PREFETCH(ADDR)
+#endif
+
+template<> struct packet_traits<float>  : default_packet_traits
+{
+  typedef Packet4f type;
+  typedef Packet4f half; // Packet2f intrinsics not implemented yet
+  enum {
+    Vectorizable = 1,
+    AlignedOnScalar = 1,
+    size = 4,
+    HasHalfPacket=0, // Packet2f intrinsics not implemented yet
+   
+    HasDiv  = 1,
+    // FIXME check the Has*
+    HasSin  = 0,
+    HasCos  = 0,
+    HasLog  = 0,
+    HasExp  = 1,
+    HasSqrt = 0
+  };
+};
+template<> struct packet_traits<int32_t>    : default_packet_traits
+{
+  typedef Packet4i type;
+  typedef Packet4i half; // Packet2i intrinsics not implemented yet
+  enum {
+    Vectorizable = 1,
+    AlignedOnScalar = 1,
+    size=4,
+    HasHalfPacket=0 // Packet2i intrinsics not implemented yet
+    // FIXME check the Has*
+  };
+};
+
+#if EIGEN_GNUC_AT_MOST(4,4) && !EIGEN_COMP_LLVM
+// workaround gcc 4.2, 4.3 and 4.4 compilatin issue
+EIGEN_STRONG_INLINE float32x4_t vld1q_f32(const float* x) { return ::vld1q_f32((const float32_t*)x); }
+EIGEN_STRONG_INLINE float32x2_t vld1_f32 (const float* x) { return ::vld1_f32 ((const float32_t*)x); }
+EIGEN_STRONG_INLINE float32x2_t vld1_dup_f32 (const float* x) { return ::vld1_dup_f32 ((const float32_t*)x); }
+EIGEN_STRONG_INLINE void        vst1q_f32(float* to, float32x4_t from) { ::vst1q_f32((float32_t*)to,from); }
+EIGEN_STRONG_INLINE void        vst1_f32 (float* to, float32x2_t from) { ::vst1_f32 ((float32_t*)to,from); }
+#endif
+
+template<> struct unpacket_traits<Packet4f> { typedef float   type; enum {size=4, alignment=Aligned16}; typedef Packet4f half; };
+template<> struct unpacket_traits<Packet4i> { typedef int32_t type; enum {size=4, alignment=Aligned16}; typedef Packet4i half; };
+
+template<> EIGEN_STRONG_INLINE Packet4f pset1<Packet4f>(const float&  from) { return vdupq_n_f32(from); }
+template<> EIGEN_STRONG_INLINE Packet4i pset1<Packet4i>(const int32_t&    from)   { return vdupq_n_s32(from); }
+
+template<> EIGEN_STRONG_INLINE Packet4f plset<Packet4f>(const float& a)
+{
+  const float f[] = {0, 1, 2, 3};
+  Packet4f countdown = vld1q_f32(f);
+  return vaddq_f32(pset1<Packet4f>(a), countdown);
+}
+template<> EIGEN_STRONG_INLINE Packet4i plset<Packet4i>(const int32_t& a)
+{
+  const int32_t i[] = {0, 1, 2, 3};
+  Packet4i countdown = vld1q_s32(i);
+  return vaddq_s32(pset1<Packet4i>(a), countdown);
+}
+
+template<> EIGEN_STRONG_INLINE Packet4f padd<Packet4f>(const Packet4f& a, const Packet4f& b) { return vaddq_f32(a,b); }
+template<> EIGEN_STRONG_INLINE Packet4i padd<Packet4i>(const Packet4i& a, const Packet4i& b) { return vaddq_s32(a,b); }
+
+template<> EIGEN_STRONG_INLINE Packet4f psub<Packet4f>(const Packet4f& a, const Packet4f& b) { return vsubq_f32(a,b); }
+template<> EIGEN_STRONG_INLINE Packet4i psub<Packet4i>(const Packet4i& a, const Packet4i& b) { return vsubq_s32(a,b); }
+
+template<> EIGEN_STRONG_INLINE Packet4f pnegate(const Packet4f& a) { return vnegq_f32(a); }
+template<> EIGEN_STRONG_INLINE Packet4i pnegate(const Packet4i& a) { return vnegq_s32(a); }
+
+template<> EIGEN_STRONG_INLINE Packet4f pconj(const Packet4f& a) { return a; }
+template<> EIGEN_STRONG_INLINE Packet4i pconj(const Packet4i& a) { return a; }
+
+template<> EIGEN_STRONG_INLINE Packet4f pmul<Packet4f>(const Packet4f& a, const Packet4f& b) { return vmulq_f32(a,b); }
+template<> EIGEN_STRONG_INLINE Packet4i pmul<Packet4i>(const Packet4i& a, const Packet4i& b) { return vmulq_s32(a,b); }
+
+template<> EIGEN_STRONG_INLINE Packet4f pdiv<Packet4f>(const Packet4f& a, const Packet4f& b)
+{
+#if EIGEN_ARCH_ARM64
+  return vdivq_f32(a,b);
+#else
+  Packet4f inv, restep, div;
+
+  // NEON does not offer a divide instruction, we have to do a reciprocal approximation
+  // However NEON in contrast to other SIMD engines (AltiVec/SSE), offers
+  // a reciprocal estimate AND a reciprocal step -which saves a few instructions
+  // vrecpeq_f32() returns an estimate to 1/b, which we will finetune with
+  // Newton-Raphson and vrecpsq_f32()
+  inv = vrecpeq_f32(b);
+
+  // This returns a differential, by which we will have to multiply inv to get a better
+  // approximation of 1/b.
+  restep = vrecpsq_f32(b, inv);
+  inv = vmulq_f32(restep, inv);
+
+  // Finally, multiply a by 1/b and get the wanted result of the division.
+  div = vmulq_f32(a, inv);
+
+  return div;
+#endif
+}
+
+template<> EIGEN_STRONG_INLINE Packet4i pdiv<Packet4i>(const Packet4i& /*a*/, const Packet4i& /*b*/)
+{ eigen_assert(false && "packet integer division are not supported by NEON");
+  return pset1<Packet4i>(0);
+}
+
+// Clang/ARM wrongly advertises __ARM_FEATURE_FMA even when it's not available,
+// then implements a slow software scalar fallback calling fmaf()!
+// Filed LLVM bug:
+//     https://llvm.org/bugs/show_bug.cgi?id=27216
+#if (defined __ARM_FEATURE_FMA) && !(EIGEN_COMP_CLANG && EIGEN_ARCH_ARM)
+// See bug 936.
+// FMA is available on VFPv4 i.e. when compiling with -mfpu=neon-vfpv4.
+// FMA is a true fused multiply-add i.e. only 1 rounding at the end, no intermediate rounding.
+// MLA is not fused i.e. does 2 roundings.
+// In addition to giving better accuracy, FMA also gives better performance here on a Krait (Nexus 4):
+// MLA: 10 GFlop/s ; FMA: 12 GFlops/s.
+template<> EIGEN_STRONG_INLINE Packet4f pmadd(const Packet4f& a, const Packet4f& b, const Packet4f& c) { return vfmaq_f32(c,a,b); }
+#else
+template<> EIGEN_STRONG_INLINE Packet4f pmadd(const Packet4f& a, const Packet4f& b, const Packet4f& c) {
+#if EIGEN_COMP_CLANG && EIGEN_ARCH_ARM
+  // Clang/ARM will replace VMLA by VMUL+VADD at least for some values of -mcpu,
+  // at least -mcpu=cortex-a8 and -mcpu=cortex-a7. Since the former is the default on
+  // -march=armv7-a, that is a very common case.
+  // See e.g. this thread:
+  //     http://lists.llvm.org/pipermail/llvm-dev/2013-December/068806.html
+  // Filed LLVM bug:
+  //     https://llvm.org/bugs/show_bug.cgi?id=27219
+  Packet4f r = c;
+  asm volatile(
+    "vmla.f32 %q[r], %q[a], %q[b]"
+    : [r] "+w" (r)
+    : [a] "w" (a),
+      [b] "w" (b)
+    : );
+  return r;
+#else
+  return vmlaq_f32(c,a,b);
+#endif
+}
+#endif
+
+// No FMA instruction for int, so use MLA unconditionally.
+template<> EIGEN_STRONG_INLINE Packet4i pmadd(const Packet4i& a, const Packet4i& b, const Packet4i& c) { return vmlaq_s32(c,a,b); }
+
+template<> EIGEN_STRONG_INLINE Packet4f pmin<Packet4f>(const Packet4f& a, const Packet4f& b) { return vminq_f32(a,b); }
+template<> EIGEN_STRONG_INLINE Packet4i pmin<Packet4i>(const Packet4i& a, const Packet4i& b) { return vminq_s32(a,b); }
+
+template<> EIGEN_STRONG_INLINE Packet4f pmax<Packet4f>(const Packet4f& a, const Packet4f& b) { return vmaxq_f32(a,b); }
+template<> EIGEN_STRONG_INLINE Packet4i pmax<Packet4i>(const Packet4i& a, const Packet4i& b) { return vmaxq_s32(a,b); }
+
+// Logical Operations are not supported for float, so we have to reinterpret casts using NEON intrinsics
+template<> EIGEN_STRONG_INLINE Packet4f pand<Packet4f>(const Packet4f& a, const Packet4f& b)
+{
+  return vreinterpretq_f32_u32(vandq_u32(vreinterpretq_u32_f32(a),vreinterpretq_u32_f32(b)));
+}
+template<> EIGEN_STRONG_INLINE Packet4i pand<Packet4i>(const Packet4i& a, const Packet4i& b) { return vandq_s32(a,b); }
+
+template<> EIGEN_STRONG_INLINE Packet4f por<Packet4f>(const Packet4f& a, const Packet4f& b)
+{
+  return vreinterpretq_f32_u32(vorrq_u32(vreinterpretq_u32_f32(a),vreinterpretq_u32_f32(b)));
+}
+template<> EIGEN_STRONG_INLINE Packet4i por<Packet4i>(const Packet4i& a, const Packet4i& b) { return vorrq_s32(a,b); }
+
+template<> EIGEN_STRONG_INLINE Packet4f pxor<Packet4f>(const Packet4f& a, const Packet4f& b)
+{
+  return vreinterpretq_f32_u32(veorq_u32(vreinterpretq_u32_f32(a),vreinterpretq_u32_f32(b)));
+}
+template<> EIGEN_STRONG_INLINE Packet4i pxor<Packet4i>(const Packet4i& a, const Packet4i& b) { return veorq_s32(a,b); }
+
+template<> EIGEN_STRONG_INLINE Packet4f pandnot<Packet4f>(const Packet4f& a, const Packet4f& b)
+{
+  return vreinterpretq_f32_u32(vbicq_u32(vreinterpretq_u32_f32(a),vreinterpretq_u32_f32(b)));
+}
+template<> EIGEN_STRONG_INLINE Packet4i pandnot<Packet4i>(const Packet4i& a, const Packet4i& b) { return vbicq_s32(a,b); }
+
+template<> EIGEN_STRONG_INLINE Packet4f pload<Packet4f>(const float*    from) { EIGEN_DEBUG_ALIGNED_LOAD return vld1q_f32(from); }
+template<> EIGEN_STRONG_INLINE Packet4i pload<Packet4i>(const int32_t*  from) { EIGEN_DEBUG_ALIGNED_LOAD return vld1q_s32(from); }
+
+template<> EIGEN_STRONG_INLINE Packet4f ploadu<Packet4f>(const float*   from) { EIGEN_DEBUG_UNALIGNED_LOAD return vld1q_f32(from); }
+template<> EIGEN_STRONG_INLINE Packet4i ploadu<Packet4i>(const int32_t* from) { EIGEN_DEBUG_UNALIGNED_LOAD return vld1q_s32(from); }
+
+template<> EIGEN_STRONG_INLINE Packet4f ploaddup<Packet4f>(const float* from)
+{
+  float32x2_t lo, hi;
+  lo = vld1_dup_f32(from);
+  hi = vld1_dup_f32(from+1);
+  return vcombine_f32(lo, hi);
+}
+template<> EIGEN_STRONG_INLINE Packet4i ploaddup<Packet4i>(const int32_t* from)
+{
+  int32x2_t lo, hi;
+  lo = vld1_dup_s32(from);
+  hi = vld1_dup_s32(from+1);
+  return vcombine_s32(lo, hi);
+}
+
+template<> EIGEN_STRONG_INLINE void pstore<float>  (float*    to, const Packet4f& from) { EIGEN_DEBUG_ALIGNED_STORE vst1q_f32(to, from); }
+template<> EIGEN_STRONG_INLINE void pstore<int32_t>(int32_t*  to, const Packet4i& from) { EIGEN_DEBUG_ALIGNED_STORE vst1q_s32(to, from); }
+
+template<> EIGEN_STRONG_INLINE void pstoreu<float>  (float*   to, const Packet4f& from) { EIGEN_DEBUG_UNALIGNED_STORE vst1q_f32(to, from); }
+template<> EIGEN_STRONG_INLINE void pstoreu<int32_t>(int32_t* to, const Packet4i& from) { EIGEN_DEBUG_UNALIGNED_STORE vst1q_s32(to, from); }
+
+template<> EIGEN_DEVICE_FUNC inline Packet4f pgather<float, Packet4f>(const float* from, Index stride)
+{
+  Packet4f res = pset1<Packet4f>(0.f);
+  res = vsetq_lane_f32(from[0*stride], res, 0);
+  res = vsetq_lane_f32(from[1*stride], res, 1);
+  res = vsetq_lane_f32(from[2*stride], res, 2);
+  res = vsetq_lane_f32(from[3*stride], res, 3);
+  return res;
+}
+template<> EIGEN_DEVICE_FUNC inline Packet4i pgather<int32_t, Packet4i>(const int32_t* from, Index stride)
+{
+  Packet4i res = pset1<Packet4i>(0);
+  res = vsetq_lane_s32(from[0*stride], res, 0);
+  res = vsetq_lane_s32(from[1*stride], res, 1);
+  res = vsetq_lane_s32(from[2*stride], res, 2);
+  res = vsetq_lane_s32(from[3*stride], res, 3);
+  return res;
+}
+
+template<> EIGEN_DEVICE_FUNC inline void pscatter<float, Packet4f>(float* to, const Packet4f& from, Index stride)
+{
+  to[stride*0] = vgetq_lane_f32(from, 0);
+  to[stride*1] = vgetq_lane_f32(from, 1);
+  to[stride*2] = vgetq_lane_f32(from, 2);
+  to[stride*3] = vgetq_lane_f32(from, 3);
+}
+template<> EIGEN_DEVICE_FUNC inline void pscatter<int32_t, Packet4i>(int32_t* to, const Packet4i& from, Index stride)
+{
+  to[stride*0] = vgetq_lane_s32(from, 0);
+  to[stride*1] = vgetq_lane_s32(from, 1);
+  to[stride*2] = vgetq_lane_s32(from, 2);
+  to[stride*3] = vgetq_lane_s32(from, 3);
+}
+
+template<> EIGEN_STRONG_INLINE void prefetch<float>  (const float*    addr) { EIGEN_ARM_PREFETCH(addr); }
+template<> EIGEN_STRONG_INLINE void prefetch<int32_t>(const int32_t*  addr) { EIGEN_ARM_PREFETCH(addr); }
+
+// FIXME only store the 2 first elements ?
+template<> EIGEN_STRONG_INLINE float   pfirst<Packet4f>(const Packet4f& a) { float   EIGEN_ALIGN16 x[4]; vst1q_f32(x, a); return x[0]; }
+template<> EIGEN_STRONG_INLINE int32_t pfirst<Packet4i>(const Packet4i& a) { int32_t EIGEN_ALIGN16 x[4]; vst1q_s32(x, a); return x[0]; }
+
+template<> EIGEN_STRONG_INLINE Packet4f preverse(const Packet4f& a) {
+  float32x2_t a_lo, a_hi;
+  Packet4f a_r64;
+
+  a_r64 = vrev64q_f32(a);
+  a_lo = vget_low_f32(a_r64);
+  a_hi = vget_high_f32(a_r64);
+  return vcombine_f32(a_hi, a_lo);
+}
+template<> EIGEN_STRONG_INLINE Packet4i preverse(const Packet4i& a) {
+  int32x2_t a_lo, a_hi;
+  Packet4i a_r64;
+
+  a_r64 = vrev64q_s32(a);
+  a_lo = vget_low_s32(a_r64);
+  a_hi = vget_high_s32(a_r64);
+  return vcombine_s32(a_hi, a_lo);
+}
+
+template<> EIGEN_STRONG_INLINE Packet4f pabs(const Packet4f& a) { return vabsq_f32(a); }
+template<> EIGEN_STRONG_INLINE Packet4i pabs(const Packet4i& a) { return vabsq_s32(a); }
+
+template<> EIGEN_STRONG_INLINE float predux<Packet4f>(const Packet4f& a)
+{
+  float32x2_t a_lo, a_hi, sum;
+
+  a_lo = vget_low_f32(a);
+  a_hi = vget_high_f32(a);
+  sum = vpadd_f32(a_lo, a_hi);
+  sum = vpadd_f32(sum, sum);
+  return vget_lane_f32(sum, 0);
+}
+
+template<> EIGEN_STRONG_INLINE Packet4f preduxp<Packet4f>(const Packet4f* vecs)
+{
+  float32x4x2_t vtrn1, vtrn2, res1, res2;
+  Packet4f sum1, sum2, sum;
+
+  // NEON zip performs interleaving of the supplied vectors.
+  // We perform two interleaves in a row to acquire the transposed vector
+  vtrn1 = vzipq_f32(vecs[0], vecs[2]);
+  vtrn2 = vzipq_f32(vecs[1], vecs[3]);
+  res1 = vzipq_f32(vtrn1.val[0], vtrn2.val[0]);
+  res2 = vzipq_f32(vtrn1.val[1], vtrn2.val[1]);
+
+  // Do the addition of the resulting vectors
+  sum1 = vaddq_f32(res1.val[0], res1.val[1]);
+  sum2 = vaddq_f32(res2.val[0], res2.val[1]);
+  sum = vaddq_f32(sum1, sum2);
+
+  return sum;
+}
+
+template<> EIGEN_STRONG_INLINE int32_t predux<Packet4i>(const Packet4i& a)
+{
+  int32x2_t a_lo, a_hi, sum;
+
+  a_lo = vget_low_s32(a);
+  a_hi = vget_high_s32(a);
+  sum = vpadd_s32(a_lo, a_hi);
+  sum = vpadd_s32(sum, sum);
+  return vget_lane_s32(sum, 0);
+}
+
+template<> EIGEN_STRONG_INLINE Packet4i preduxp<Packet4i>(const Packet4i* vecs)
+{
+  int32x4x2_t vtrn1, vtrn2, res1, res2;
+  Packet4i sum1, sum2, sum;
+
+  // NEON zip performs interleaving of the supplied vectors.
+  // We perform two interleaves in a row to acquire the transposed vector
+  vtrn1 = vzipq_s32(vecs[0], vecs[2]);
+  vtrn2 = vzipq_s32(vecs[1], vecs[3]);
+  res1 = vzipq_s32(vtrn1.val[0], vtrn2.val[0]);
+  res2 = vzipq_s32(vtrn1.val[1], vtrn2.val[1]);
+
+  // Do the addition of the resulting vectors
+  sum1 = vaddq_s32(res1.val[0], res1.val[1]);
+  sum2 = vaddq_s32(res2.val[0], res2.val[1]);
+  sum = vaddq_s32(sum1, sum2);
+
+  return sum;
+}
+
+// Other reduction functions:
+// mul
+template<> EIGEN_STRONG_INLINE float predux_mul<Packet4f>(const Packet4f& a)
+{
+  float32x2_t a_lo, a_hi, prod;
+
+  // Get a_lo = |a1|a2| and a_hi = |a3|a4|
+  a_lo = vget_low_f32(a);
+  a_hi = vget_high_f32(a);
+  // Get the product of a_lo * a_hi -> |a1*a3|a2*a4|
+  prod = vmul_f32(a_lo, a_hi);
+  // Multiply prod with its swapped value |a2*a4|a1*a3|
+  prod = vmul_f32(prod, vrev64_f32(prod));
+
+  return vget_lane_f32(prod, 0);
+}
+template<> EIGEN_STRONG_INLINE int32_t predux_mul<Packet4i>(const Packet4i& a)
+{
+  int32x2_t a_lo, a_hi, prod;
+
+  // Get a_lo = |a1|a2| and a_hi = |a3|a4|
+  a_lo = vget_low_s32(a);
+  a_hi = vget_high_s32(a);
+  // Get the product of a_lo * a_hi -> |a1*a3|a2*a4|
+  prod = vmul_s32(a_lo, a_hi);
+  // Multiply prod with its swapped value |a2*a4|a1*a3|
+  prod = vmul_s32(prod, vrev64_s32(prod));
+
+  return vget_lane_s32(prod, 0);
+}
+
+// min
+template<> EIGEN_STRONG_INLINE float predux_min<Packet4f>(const Packet4f& a)
+{
+  float32x2_t a_lo, a_hi, min;
+
+  a_lo = vget_low_f32(a);
+  a_hi = vget_high_f32(a);
+  min = vpmin_f32(a_lo, a_hi);
+  min = vpmin_f32(min, min);
+
+  return vget_lane_f32(min, 0);
+}
+
+template<> EIGEN_STRONG_INLINE int32_t predux_min<Packet4i>(const Packet4i& a)
+{
+  int32x2_t a_lo, a_hi, min;
+
+  a_lo = vget_low_s32(a);
+  a_hi = vget_high_s32(a);
+  min = vpmin_s32(a_lo, a_hi);
+  min = vpmin_s32(min, min);
+  
+  return vget_lane_s32(min, 0);
+}
+
+// max
+template<> EIGEN_STRONG_INLINE float predux_max<Packet4f>(const Packet4f& a)
+{
+  float32x2_t a_lo, a_hi, max;
+
+  a_lo = vget_low_f32(a);
+  a_hi = vget_high_f32(a);
+  max = vpmax_f32(a_lo, a_hi);
+  max = vpmax_f32(max, max);
+
+  return vget_lane_f32(max, 0);
+}
+
+template<> EIGEN_STRONG_INLINE int32_t predux_max<Packet4i>(const Packet4i& a)
+{
+  int32x2_t a_lo, a_hi, max;
+
+  a_lo = vget_low_s32(a);
+  a_hi = vget_high_s32(a);
+  max = vpmax_s32(a_lo, a_hi);
+  max = vpmax_s32(max, max);
+
+  return vget_lane_s32(max, 0);
+}
+
+// this PALIGN_NEON business is to work around a bug in LLVM Clang 3.0 causing incorrect compilation errors,
+// see bug 347 and this LLVM bug: http://llvm.org/bugs/show_bug.cgi?id=11074
+#define PALIGN_NEON(Offset,Type,Command) \
+template<>\
+struct palign_impl<Offset,Type>\
+{\
+    EIGEN_STRONG_INLINE static void run(Type& first, const Type& second)\
+    {\
+        if (Offset!=0)\
+            first = Command(first, second, Offset);\
+    }\
+};\
+
+PALIGN_NEON(0,Packet4f,vextq_f32)
+PALIGN_NEON(1,Packet4f,vextq_f32)
+PALIGN_NEON(2,Packet4f,vextq_f32)
+PALIGN_NEON(3,Packet4f,vextq_f32)
+PALIGN_NEON(0,Packet4i,vextq_s32)
+PALIGN_NEON(1,Packet4i,vextq_s32)
+PALIGN_NEON(2,Packet4i,vextq_s32)
+PALIGN_NEON(3,Packet4i,vextq_s32)
+
+#undef PALIGN_NEON
+
+EIGEN_DEVICE_FUNC inline void
+ptranspose(PacketBlock<Packet4f,4>& kernel) {
+  float32x4x2_t tmp1 = vzipq_f32(kernel.packet[0], kernel.packet[1]);
+  float32x4x2_t tmp2 = vzipq_f32(kernel.packet[2], kernel.packet[3]);
+
+  kernel.packet[0] = vcombine_f32(vget_low_f32(tmp1.val[0]), vget_low_f32(tmp2.val[0]));
+  kernel.packet[1] = vcombine_f32(vget_high_f32(tmp1.val[0]), vget_high_f32(tmp2.val[0]));
+  kernel.packet[2] = vcombine_f32(vget_low_f32(tmp1.val[1]), vget_low_f32(tmp2.val[1]));
+  kernel.packet[3] = vcombine_f32(vget_high_f32(tmp1.val[1]), vget_high_f32(tmp2.val[1]));
+}
+
+EIGEN_DEVICE_FUNC inline void
+ptranspose(PacketBlock<Packet4i,4>& kernel) {
+  int32x4x2_t tmp1 = vzipq_s32(kernel.packet[0], kernel.packet[1]);
+  int32x4x2_t tmp2 = vzipq_s32(kernel.packet[2], kernel.packet[3]);
+  kernel.packet[0] = vcombine_s32(vget_low_s32(tmp1.val[0]), vget_low_s32(tmp2.val[0]));
+  kernel.packet[1] = vcombine_s32(vget_high_s32(tmp1.val[0]), vget_high_s32(tmp2.val[0]));
+  kernel.packet[2] = vcombine_s32(vget_low_s32(tmp1.val[1]), vget_low_s32(tmp2.val[1]));
+  kernel.packet[3] = vcombine_s32(vget_high_s32(tmp1.val[1]), vget_high_s32(tmp2.val[1]));
+}
+
+//---------- double ----------
+
+// Clang 3.5 in the iOS toolchain has an ICE triggered by NEON intrisics for double.
+// Confirmed at least with __apple_build_version__ = 6000054.
+#ifdef __apple_build_version__
+// Let's hope that by the time __apple_build_version__ hits the 601* range, the bug will be fixed.
+// https://gist.github.com/yamaya/2924292 suggests that the 3 first digits are only updated with
+// major toolchain updates.
+#define EIGEN_APPLE_DOUBLE_NEON_BUG (__apple_build_version__ < 6010000)
+#else
+#define EIGEN_APPLE_DOUBLE_NEON_BUG 0
+#endif
+
+#if EIGEN_ARCH_ARM64 && !EIGEN_APPLE_DOUBLE_NEON_BUG
+
+// Bug 907: workaround missing declarations of the following two functions in the ADK
+// Defining these functions as templates ensures that if these intrinsics are
+// already defined in arm_neon.h, then our workaround doesn't cause a conflict
+// and has lower priority in overload resolution.
+template <typename T>
+uint64x2_t vreinterpretq_u64_f64(T a)
+{
+  return (uint64x2_t) a;
+}
+
+template <typename T>
+float64x2_t vreinterpretq_f64_u64(T a)
+{
+  return (float64x2_t) a;
+}
+
+typedef float64x2_t Packet2d;
+typedef float64x1_t Packet1d;
+
+template<> struct packet_traits<double>  : default_packet_traits
+{
+  typedef Packet2d type;
+  typedef Packet2d half;
+  enum {
+    Vectorizable = 1,
+    AlignedOnScalar = 1,
+    size = 2,
+    HasHalfPacket=0,
+   
+    HasDiv  = 1,
+    // FIXME check the Has*
+    HasSin  = 0,
+    HasCos  = 0,
+    HasLog  = 0,
+    HasExp  = 0,
+    HasSqrt = 0
+  };
+};
+
+template<> struct unpacket_traits<Packet2d> { typedef double  type; enum {size=2, alignment=Aligned16}; typedef Packet2d half; };
+
+template<> EIGEN_STRONG_INLINE Packet2d pset1<Packet2d>(const double&  from) { return vdupq_n_f64(from); }
+
+template<> EIGEN_STRONG_INLINE Packet2d plset<Packet2d>(const double& a)
+{
+  const double countdown_raw[] = {0.0,1.0};
+  const Packet2d countdown = vld1q_f64(countdown_raw);
+  return vaddq_f64(pset1<Packet2d>(a), countdown);
+}
+template<> EIGEN_STRONG_INLINE Packet2d padd<Packet2d>(const Packet2d& a, const Packet2d& b) { return vaddq_f64(a,b); }
+
+template<> EIGEN_STRONG_INLINE Packet2d psub<Packet2d>(const Packet2d& a, const Packet2d& b) { return vsubq_f64(a,b); }
+
+template<> EIGEN_STRONG_INLINE Packet2d pnegate(const Packet2d& a) { return vnegq_f64(a); }
+
+template<> EIGEN_STRONG_INLINE Packet2d pconj(const Packet2d& a) { return a; }
+
+template<> EIGEN_STRONG_INLINE Packet2d pmul<Packet2d>(const Packet2d& a, const Packet2d& b) { return vmulq_f64(a,b); }
+
+template<> EIGEN_STRONG_INLINE Packet2d pdiv<Packet2d>(const Packet2d& a, const Packet2d& b) { return vdivq_f64(a,b); }
+
+#ifdef __ARM_FEATURE_FMA
+// See bug 936. See above comment about FMA for float.
+template<> EIGEN_STRONG_INLINE Packet2d pmadd(const Packet2d& a, const Packet2d& b, const Packet2d& c) { return vfmaq_f64(c,a,b); }
+#else
+template<> EIGEN_STRONG_INLINE Packet2d pmadd(const Packet2d& a, const Packet2d& b, const Packet2d& c) { return vmlaq_f64(c,a,b); }
+#endif
+
+template<> EIGEN_STRONG_INLINE Packet2d pmin<Packet2d>(const Packet2d& a, const Packet2d& b) { return vminq_f64(a,b); }
+
+template<> EIGEN_STRONG_INLINE Packet2d pmax<Packet2d>(const Packet2d& a, const Packet2d& b) { return vmaxq_f64(a,b); }
+
+// Logical Operations are not supported for float, so we have to reinterpret casts using NEON intrinsics
+template<> EIGEN_STRONG_INLINE Packet2d pand<Packet2d>(const Packet2d& a, const Packet2d& b)
+{
+  return vreinterpretq_f64_u64(vandq_u64(vreinterpretq_u64_f64(a),vreinterpretq_u64_f64(b)));
+}
+
+template<> EIGEN_STRONG_INLINE Packet2d por<Packet2d>(const Packet2d& a, const Packet2d& b)
+{
+  return vreinterpretq_f64_u64(vorrq_u64(vreinterpretq_u64_f64(a),vreinterpretq_u64_f64(b)));
+}
+
+template<> EIGEN_STRONG_INLINE Packet2d pxor<Packet2d>(const Packet2d& a, const Packet2d& b)
+{
+  return vreinterpretq_f64_u64(veorq_u64(vreinterpretq_u64_f64(a),vreinterpretq_u64_f64(b)));
+}
+
+template<> EIGEN_STRONG_INLINE Packet2d pandnot<Packet2d>(const Packet2d& a, const Packet2d& b)
+{
+  return vreinterpretq_f64_u64(vbicq_u64(vreinterpretq_u64_f64(a),vreinterpretq_u64_f64(b)));
+}
+
+template<> EIGEN_STRONG_INLINE Packet2d pload<Packet2d>(const double* from) { EIGEN_DEBUG_ALIGNED_LOAD return vld1q_f64(from); }
+
+template<> EIGEN_STRONG_INLINE Packet2d ploadu<Packet2d>(const double* from) { EIGEN_DEBUG_UNALIGNED_LOAD return vld1q_f64(from); }
+
+template<> EIGEN_STRONG_INLINE Packet2d ploaddup<Packet2d>(const double*   from)
+{
+  return vld1q_dup_f64(from);
+}
+template<> EIGEN_STRONG_INLINE void pstore<double>(double*   to, const Packet2d& from) { EIGEN_DEBUG_ALIGNED_STORE vst1q_f64(to, from); }
+
+template<> EIGEN_STRONG_INLINE void pstoreu<double>(double*  to, const Packet2d& from) { EIGEN_DEBUG_UNALIGNED_STORE vst1q_f64(to, from); }
+
+template<> EIGEN_DEVICE_FUNC inline Packet2d pgather<double, Packet2d>(const double* from, Index stride)
+{
+  Packet2d res = pset1<Packet2d>(0.0);
+  res = vsetq_lane_f64(from[0*stride], res, 0);
+  res = vsetq_lane_f64(from[1*stride], res, 1);
+  return res;
+}
+template<> EIGEN_DEVICE_FUNC inline void pscatter<double, Packet2d>(double* to, const Packet2d& from, Index stride)
+{
+  to[stride*0] = vgetq_lane_f64(from, 0);
+  to[stride*1] = vgetq_lane_f64(from, 1);
+}
+template<> EIGEN_STRONG_INLINE void prefetch<double>(const double* addr) { EIGEN_ARM_PREFETCH(addr); }
+
+// FIXME only store the 2 first elements ?
+template<> EIGEN_STRONG_INLINE double pfirst<Packet2d>(const Packet2d& a) { return vgetq_lane_f64(a, 0); }
+
+template<> EIGEN_STRONG_INLINE Packet2d preverse(const Packet2d& a) { return vcombine_f64(vget_high_f64(a), vget_low_f64(a)); }
+
+template<> EIGEN_STRONG_INLINE Packet2d pabs(const Packet2d& a) { return vabsq_f64(a); }
+
+#if EIGEN_COMP_CLANG && defined(__apple_build_version__)
+// workaround ICE, see bug 907
+template<> EIGEN_STRONG_INLINE double predux<Packet2d>(const Packet2d& a) { return (vget_low_f64(a) + vget_high_f64(a))[0]; }
+#else
+template<> EIGEN_STRONG_INLINE double predux<Packet2d>(const Packet2d& a) { return vget_lane_f64(vget_low_f64(a) + vget_high_f64(a), 0); }
+#endif
+
+template<> EIGEN_STRONG_INLINE Packet2d preduxp<Packet2d>(const Packet2d* vecs)
+{
+  float64x2_t trn1, trn2;
+
+  // NEON zip performs interleaving of the supplied vectors.
+  // We perform two interleaves in a row to acquire the transposed vector
+  trn1 = vzip1q_f64(vecs[0], vecs[1]);
+  trn2 = vzip2q_f64(vecs[0], vecs[1]);
+
+  // Do the addition of the resulting vectors
+  return vaddq_f64(trn1, trn2);
+}
+// Other reduction functions:
+// mul
+#if EIGEN_COMP_CLANG && defined(__apple_build_version__)
+template<> EIGEN_STRONG_INLINE double predux_mul<Packet2d>(const Packet2d& a) { return (vget_low_f64(a) * vget_high_f64(a))[0]; }
+#else
+template<> EIGEN_STRONG_INLINE double predux_mul<Packet2d>(const Packet2d& a) { return vget_lane_f64(vget_low_f64(a) * vget_high_f64(a), 0); }
+#endif
+
+// min
+template<> EIGEN_STRONG_INLINE double predux_min<Packet2d>(const Packet2d& a) { return vgetq_lane_f64(vpminq_f64(a, a), 0); }
+
+// max
+template<> EIGEN_STRONG_INLINE double predux_max<Packet2d>(const Packet2d& a) { return vgetq_lane_f64(vpmaxq_f64(a, a), 0); }
+
+// this PALIGN_NEON business is to work around a bug in LLVM Clang 3.0 causing incorrect compilation errors,
+// see bug 347 and this LLVM bug: http://llvm.org/bugs/show_bug.cgi?id=11074
+#define PALIGN_NEON(Offset,Type,Command) \
+template<>\
+struct palign_impl<Offset,Type>\
+{\
+    EIGEN_STRONG_INLINE static void run(Type& first, const Type& second)\
+    {\
+        if (Offset!=0)\
+            first = Command(first, second, Offset);\
+    }\
+};\
+
+PALIGN_NEON(0,Packet2d,vextq_f64)
+PALIGN_NEON(1,Packet2d,vextq_f64)
+#undef PALIGN_NEON
+
+EIGEN_DEVICE_FUNC inline void
+ptranspose(PacketBlock<Packet2d,2>& kernel) {
+  float64x2_t trn1 = vzip1q_f64(kernel.packet[0], kernel.packet[1]);
+  float64x2_t trn2 = vzip2q_f64(kernel.packet[0], kernel.packet[1]);
+
+  kernel.packet[0] = trn1;
+  kernel.packet[1] = trn2;
+}
+#endif // EIGEN_ARCH_ARM64 
+
+} // end namespace internal
+
+} // end namespace Eigen
+
+#endif // EIGEN_PACKET_MATH_NEON_H
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/arch/NEON/MathFunctions.h
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/arch/NEON/MathFunctions.h	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/arch/NEON/MathFunctions.h	(revision 3761)
@@ -0,0 +1,91 @@
+// This file is part of Eigen, a lightweight C++ template library
+// for linear algebra.
+//
+// This Source Code Form is subject to the terms of the Mozilla
+// Public License v. 2.0. If a copy of the MPL was not distributed
+// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
+
+/* The sin, cos, exp, and log functions of this file come from
+ * Julien Pommier's sse math library: http://gruntthepeon.free.fr/ssemath/
+ */
+
+#ifndef EIGEN_MATH_FUNCTIONS_NEON_H
+#define EIGEN_MATH_FUNCTIONS_NEON_H
+
+namespace Eigen {
+
+namespace internal {
+
+template<> EIGEN_DEFINE_FUNCTION_ALLOWING_MULTIPLE_DEFINITIONS EIGEN_UNUSED
+Packet4f pexp<Packet4f>(const Packet4f& _x)
+{
+  Packet4f x = _x;
+  Packet4f tmp, fx;
+
+  _EIGEN_DECLARE_CONST_Packet4f(1 , 1.0f);
+  _EIGEN_DECLARE_CONST_Packet4f(half, 0.5f);
+  _EIGEN_DECLARE_CONST_Packet4i(0x7f, 0x7f);
+  _EIGEN_DECLARE_CONST_Packet4f(exp_hi,  88.3762626647950f);
+  _EIGEN_DECLARE_CONST_Packet4f(exp_lo, -88.3762626647949f);
+  _EIGEN_DECLARE_CONST_Packet4f(cephes_LOG2EF, 1.44269504088896341f);
+  _EIGEN_DECLARE_CONST_Packet4f(cephes_exp_C1, 0.693359375f);
+  _EIGEN_DECLARE_CONST_Packet4f(cephes_exp_C2, -2.12194440e-4f);
+  _EIGEN_DECLARE_CONST_Packet4f(cephes_exp_p0, 1.9875691500E-4f);
+  _EIGEN_DECLARE_CONST_Packet4f(cephes_exp_p1, 1.3981999507E-3f);
+  _EIGEN_DECLARE_CONST_Packet4f(cephes_exp_p2, 8.3334519073E-3f);
+  _EIGEN_DECLARE_CONST_Packet4f(cephes_exp_p3, 4.1665795894E-2f);
+  _EIGEN_DECLARE_CONST_Packet4f(cephes_exp_p4, 1.6666665459E-1f);
+  _EIGEN_DECLARE_CONST_Packet4f(cephes_exp_p5, 5.0000001201E-1f);
+
+  x = vminq_f32(x, p4f_exp_hi);
+  x = vmaxq_f32(x, p4f_exp_lo);
+
+  /* express exp(x) as exp(g + n*log(2)) */
+  fx = vmlaq_f32(p4f_half, x, p4f_cephes_LOG2EF);
+
+  /* perform a floorf */
+  tmp = vcvtq_f32_s32(vcvtq_s32_f32(fx));
+
+  /* if greater, substract 1 */
+  Packet4ui mask = vcgtq_f32(tmp, fx);
+  mask = vandq_u32(mask, vreinterpretq_u32_f32(p4f_1));
+
+  fx = vsubq_f32(tmp, vreinterpretq_f32_u32(mask));
+
+  tmp = vmulq_f32(fx, p4f_cephes_exp_C1);
+  Packet4f z = vmulq_f32(fx, p4f_cephes_exp_C2);
+  x = vsubq_f32(x, tmp);
+  x = vsubq_f32(x, z);
+
+  Packet4f y = vmulq_f32(p4f_cephes_exp_p0, x);
+  z = vmulq_f32(x, x);
+  y = vaddq_f32(y, p4f_cephes_exp_p1);
+  y = vmulq_f32(y, x);
+  y = vaddq_f32(y, p4f_cephes_exp_p2);
+  y = vmulq_f32(y, x);
+  y = vaddq_f32(y, p4f_cephes_exp_p3);
+  y = vmulq_f32(y, x);
+  y = vaddq_f32(y, p4f_cephes_exp_p4);
+  y = vmulq_f32(y, x);
+  y = vaddq_f32(y, p4f_cephes_exp_p5);
+
+  y = vmulq_f32(y, z);
+  y = vaddq_f32(y, x);
+  y = vaddq_f32(y, p4f_1);
+
+  /* build 2^n */
+  int32x4_t mm;
+  mm = vcvtq_s32_f32(fx);
+  mm = vaddq_s32(mm, p4i_0x7f);
+  mm = vshlq_n_s32(mm, 23);
+  Packet4f pow2n = vreinterpretq_f32_s32(mm);
+
+  y = vmulq_f32(y, pow2n);
+  return y;
+}
+
+} // end namespace internal
+
+} // end namespace Eigen
+
+#endif // EIGEN_MATH_FUNCTIONS_NEON_H
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h	(revision 3761)
@@ -0,0 +1,29 @@
+
+// This file is part of Eigen, a lightweight C++ template library
+// for linear algebra.
+//
+// Copyright (C) 2017 Gael Guennebaud <gael.guennebaud@inria.fr>
+//
+// This Source Code Form is subject to the terms of the Mozilla
+// Public License v. 2.0. If a copy of the MPL was not distributed
+// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
+
+#ifndef EIGEN_ARCH_CONJ_HELPER_H
+#define EIGEN_ARCH_CONJ_HELPER_H
+
+#define EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(PACKET_CPLX, PACKET_REAL)                                                          \
+  template<> struct conj_helper<PACKET_REAL, PACKET_CPLX, false,false> {                                          \
+    EIGEN_STRONG_INLINE PACKET_CPLX pmadd(const PACKET_REAL& x, const PACKET_CPLX& y, const PACKET_CPLX& c) const \
+    { return padd(c, pmul(x,y)); }                                                                                \
+    EIGEN_STRONG_INLINE PACKET_CPLX pmul(const PACKET_REAL& x, const PACKET_CPLX& y) const                        \
+    { return PACKET_CPLX(Eigen::internal::pmul<PACKET_REAL>(x, y.v)); }                                           \
+  };                                                                                                              \
+                                                                                                                  \
+  template<> struct conj_helper<PACKET_CPLX, PACKET_REAL, false,false> {                                          \
+    EIGEN_STRONG_INLINE PACKET_CPLX pmadd(const PACKET_CPLX& x, const PACKET_REAL& y, const PACKET_CPLX& c) const \
+    { return padd(c, pmul(x,y)); }                                                                                \
+    EIGEN_STRONG_INLINE PACKET_CPLX pmul(const PACKET_CPLX& x, const PACKET_REAL& y) const                        \
+    { return PACKET_CPLX(Eigen::internal::pmul<PACKET_REAL>(x.v, y)); }                                           \
+  };
+
+#endif // EIGEN_ARCH_CONJ_HELPER_H
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/arch/Default/Settings.h
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/arch/Default/Settings.h	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/arch/Default/Settings.h	(revision 3761)
@@ -0,0 +1,49 @@
+// This file is part of Eigen, a lightweight C++ template library
+// for linear algebra.
+//
+// Copyright (C) 2008-2010 Gael Guennebaud <gael.guennebaud@inria.fr>
+// Copyright (C) 2006-2008 Benoit Jacob <jacob.benoit.1@gmail.com>
+//
+// This Source Code Form is subject to the terms of the Mozilla
+// Public License v. 2.0. If a copy of the MPL was not distributed
+// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
+
+
+/* All the parameters defined in this file can be specialized in the
+ * architecture specific files, and/or by the user.
+ * More to come... */
+
+#ifndef EIGEN_DEFAULT_SETTINGS_H
+#define EIGEN_DEFAULT_SETTINGS_H
+
+/** Defines the maximal loop size to enable meta unrolling of loops.
+  * Note that the value here is expressed in Eigen's own notion of "number of FLOPS",
+  * it does not correspond to the number of iterations or the number of instructions
+  */
+#ifndef EIGEN_UNROLLING_LIMIT
+#define EIGEN_UNROLLING_LIMIT 100
+#endif
+
+/** Defines the threshold between a "small" and a "large" matrix.
+  * This threshold is mainly used to select the proper product implementation.
+  */
+#ifndef EIGEN_CACHEFRIENDLY_PRODUCT_THRESHOLD
+#define EIGEN_CACHEFRIENDLY_PRODUCT_THRESHOLD 8
+#endif
+
+/** Defines the maximal width of the blocks used in the triangular product and solver
+  * for vectors (level 2 blas xTRMV and xTRSV). The default is 8.
+  */
+#ifndef EIGEN_TUNE_TRIANGULAR_PANEL_WIDTH
+#define EIGEN_TUNE_TRIANGULAR_PANEL_WIDTH 8
+#endif
+
+
+/** Defines the default number of registers available for that architecture.
+  * Currently it must be 8 or 16. Other values will fail.
+  */
+#ifndef EIGEN_ARCH_DEFAULT_NUMBER_OF_REGISTERS
+#define EIGEN_ARCH_DEFAULT_NUMBER_OF_REGISTERS 8
+#endif
+
+#endif // EIGEN_DEFAULT_SETTINGS_H
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/arch/AVX512/PacketMath.h
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/arch/AVX512/PacketMath.h	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/arch/AVX512/PacketMath.h	(revision 3761)
@@ -0,0 +1,1305 @@
+// This file is part of Eigen, a lightweight C++ template library
+// for linear algebra.
+//
+// Copyright (C) 2016 Benoit Steiner (benoit.steiner.goog@gmail.com)
+//
+// This Source Code Form is subject to the terms of the Mozilla
+// Public License v. 2.0. If a copy of the MPL was not distributed
+// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
+
+#ifndef EIGEN_PACKET_MATH_AVX512_H
+#define EIGEN_PACKET_MATH_AVX512_H
+
+namespace Eigen {
+
+namespace internal {
+
+#ifndef EIGEN_CACHEFRIENDLY_PRODUCT_THRESHOLD
+#define EIGEN_CACHEFRIENDLY_PRODUCT_THRESHOLD 8
+#endif
+
+#ifndef EIGEN_ARCH_DEFAULT_NUMBER_OF_REGISTERS
+#define EIGEN_ARCH_DEFAULT_NUMBER_OF_REGISTERS 32
+#endif
+
+#ifdef EIGEN_VECTORIZE_FMA
+#ifndef EIGEN_HAS_SINGLE_INSTRUCTION_MADD
+#define EIGEN_HAS_SINGLE_INSTRUCTION_MADD
+#endif
+#endif
+
+typedef __m512 Packet16f;
+typedef __m512i Packet16i;
+typedef __m512d Packet8d;
+
+template <>
+struct is_arithmetic<__m512> {
+  enum { value = true };
+};
+template <>
+struct is_arithmetic<__m512i> {
+  enum { value = true };
+};
+template <>
+struct is_arithmetic<__m512d> {
+  enum { value = true };
+};
+
+template<> struct packet_traits<float>  : default_packet_traits
+{
+  typedef Packet16f type;
+  typedef Packet8f half;
+  enum {
+    Vectorizable = 1,
+    AlignedOnScalar = 1,
+    size = 16,
+    HasHalfPacket = 1,
+    HasBlend = 0,
+#if EIGEN_GNUC_AT_LEAST(5, 3) || (!EIGEN_COMP_GNUC_STRICT)
+#ifdef EIGEN_VECTORIZE_AVX512DQ
+    HasLog = 1,
+#endif
+    HasExp = 1,
+    HasSqrt = EIGEN_FAST_MATH,
+    HasRsqrt = EIGEN_FAST_MATH,
+#endif
+    HasDiv = 1
+  };
+ };
+template<> struct packet_traits<double> : default_packet_traits
+{
+  typedef Packet8d type;
+  typedef Packet4d half;
+  enum {
+    Vectorizable = 1,
+    AlignedOnScalar = 1,
+    size = 8,
+    HasHalfPacket = 1,
+#if EIGEN_GNUC_AT_LEAST(5, 3) || (!EIGEN_COMP_GNUC_STRICT)
+    HasSqrt = EIGEN_FAST_MATH,
+    HasRsqrt = EIGEN_FAST_MATH,
+#endif
+    HasDiv = 1
+  };
+};
+
+/* TODO Implement AVX512 for integers
+template<> struct packet_traits<int>    : default_packet_traits
+{
+  typedef Packet16i type;
+  enum {
+    Vectorizable = 1,
+    AlignedOnScalar = 1,
+    size=8
+  };
+};
+*/
+
+template <>
+struct unpacket_traits<Packet16f> {
+  typedef float type;
+  typedef Packet8f half;
+  typedef Packet16i integer_packet;
+  enum { size = 16, alignment=Aligned64 };
+};
+template <>
+struct unpacket_traits<Packet8d> {
+  typedef double type;
+  typedef Packet4d half;
+  enum { size = 8, alignment=Aligned64 };
+};
+template <>
+struct unpacket_traits<Packet16i> {
+  typedef int type;
+  typedef Packet8i half;
+  enum { size = 16, alignment=Aligned64 };
+};
+
+template <>
+EIGEN_STRONG_INLINE Packet16f pset1<Packet16f>(const float& from) {
+  return _mm512_set1_ps(from);
+}
+template <>
+EIGEN_STRONG_INLINE Packet8d pset1<Packet8d>(const double& from) {
+  return _mm512_set1_pd(from);
+}
+template <>
+EIGEN_STRONG_INLINE Packet16i pset1<Packet16i>(const int& from) {
+  return _mm512_set1_epi32(from);
+}
+
+template <>
+EIGEN_STRONG_INLINE Packet16f pload1<Packet16f>(const float* from) {
+  return _mm512_broadcastss_ps(_mm_load_ps1(from));
+}
+template <>
+EIGEN_STRONG_INLINE Packet8d pload1<Packet8d>(const double* from) {
+  return _mm512_set1_pd(*from);
+}
+
+template <>
+EIGEN_STRONG_INLINE Packet16f plset<Packet16f>(const float& a) {
+  return _mm512_add_ps(
+      _mm512_set1_ps(a),
+      _mm512_set_ps(15.0f, 14.0f, 13.0f, 12.0f, 11.0f, 10.0f, 9.0f, 8.0f, 7.0f, 6.0f, 5.0f,
+                    4.0f, 3.0f, 2.0f, 1.0f, 0.0f));
+}
+template <>
+EIGEN_STRONG_INLINE Packet8d plset<Packet8d>(const double& a) {
+  return _mm512_add_pd(_mm512_set1_pd(a),
+                       _mm512_set_pd(7.0, 6.0, 5.0, 4.0, 3.0, 2.0, 1.0, 0.0));
+}
+
+template <>
+EIGEN_STRONG_INLINE Packet16f padd<Packet16f>(const Packet16f& a,
+                                              const Packet16f& b) {
+  return _mm512_add_ps(a, b);
+}
+template <>
+EIGEN_STRONG_INLINE Packet8d padd<Packet8d>(const Packet8d& a,
+                                            const Packet8d& b) {
+  return _mm512_add_pd(a, b);
+}
+template <>
+EIGEN_STRONG_INLINE Packet16i padd<Packet16i>(const Packet16i& a,
+                                              const Packet16i& b) {
+  return _mm512_add_epi32(a, b);
+}
+
+template <>
+EIGEN_STRONG_INLINE Packet16f psub<Packet16f>(const Packet16f& a,
+                                              const Packet16f& b) {
+  return _mm512_sub_ps(a, b);
+}
+template <>
+EIGEN_STRONG_INLINE Packet8d psub<Packet8d>(const Packet8d& a,
+                                            const Packet8d& b) {
+  return _mm512_sub_pd(a, b);
+}
+template <>
+EIGEN_STRONG_INLINE Packet16i psub<Packet16i>(const Packet16i& a,
+                                              const Packet16i& b) {
+  return _mm512_sub_epi32(a, b);
+}
+
+template <>
+EIGEN_STRONG_INLINE Packet16f pnegate(const Packet16f& a) {
+  return _mm512_sub_ps(_mm512_set1_ps(0.0), a);
+}
+template <>
+EIGEN_STRONG_INLINE Packet8d pnegate(const Packet8d& a) {
+  return _mm512_sub_pd(_mm512_set1_pd(0.0), a);
+}
+
+template <>
+EIGEN_STRONG_INLINE Packet16f pconj(const Packet16f& a) {
+  return a;
+}
+template <>
+EIGEN_STRONG_INLINE Packet8d pconj(const Packet8d& a) {
+  return a;
+}
+template <>
+EIGEN_STRONG_INLINE Packet16i pconj(const Packet16i& a) {
+  return a;
+}
+
+template <>
+EIGEN_STRONG_INLINE Packet16f pmul<Packet16f>(const Packet16f& a,
+                                              const Packet16f& b) {
+  return _mm512_mul_ps(a, b);
+}
+template <>
+EIGEN_STRONG_INLINE Packet8d pmul<Packet8d>(const Packet8d& a,
+                                            const Packet8d& b) {
+  return _mm512_mul_pd(a, b);
+}
+template <>
+EIGEN_STRONG_INLINE Packet16i pmul<Packet16i>(const Packet16i& a,
+                                              const Packet16i& b) {
+  return _mm512_mul_epi32(a, b);
+}
+
+template <>
+EIGEN_STRONG_INLINE Packet16f pdiv<Packet16f>(const Packet16f& a,
+                                              const Packet16f& b) {
+  return _mm512_div_ps(a, b);
+}
+template <>
+EIGEN_STRONG_INLINE Packet8d pdiv<Packet8d>(const Packet8d& a,
+                                            const Packet8d& b) {
+  return _mm512_div_pd(a, b);
+}
+
+#ifdef EIGEN_VECTORIZE_FMA
+template <>
+EIGEN_STRONG_INLINE Packet16f pmadd(const Packet16f& a, const Packet16f& b,
+                                    const Packet16f& c) {
+  return _mm512_fmadd_ps(a, b, c);
+}
+template <>
+EIGEN_STRONG_INLINE Packet8d pmadd(const Packet8d& a, const Packet8d& b,
+                                   const Packet8d& c) {
+  return _mm512_fmadd_pd(a, b, c);
+}
+#endif
+
+template <>
+EIGEN_STRONG_INLINE Packet16f pmin<Packet16f>(const Packet16f& a,
+                                              const Packet16f& b) {
+  // Arguments are reversed to match NaN propagation behavior of std::min.
+  return _mm512_min_ps(b, a);
+}
+template <>
+EIGEN_STRONG_INLINE Packet8d pmin<Packet8d>(const Packet8d& a,
+                                            const Packet8d& b) {
+  // Arguments are reversed to match NaN propagation behavior of std::min.
+  return _mm512_min_pd(b, a);
+}
+
+template <>
+EIGEN_STRONG_INLINE Packet16f pmax<Packet16f>(const Packet16f& a,
+                                              const Packet16f& b) {
+  // Arguments are reversed to match NaN propagation behavior of std::max.
+  return _mm512_max_ps(b, a);
+}
+template <>
+EIGEN_STRONG_INLINE Packet8d pmax<Packet8d>(const Packet8d& a,
+                                            const Packet8d& b) {
+  // Arguments are reversed to match NaN propagation behavior of std::max.
+  return _mm512_max_pd(b, a);
+}
+
+#ifdef EIGEN_VECTORIZE_AVX512DQ
+template<int I_> EIGEN_STRONG_INLINE Packet8f extract256(Packet16f x) { return _mm512_extractf32x8_ps(x,I_); }
+template<int I_> EIGEN_STRONG_INLINE Packet2d extract128(Packet8d x) { return _mm512_extractf64x2_pd(x,I_); }
+EIGEN_STRONG_INLINE Packet16f cat256(Packet8f a, Packet8f b) { return _mm512_insertf32x8(_mm512_castps256_ps512(a),b,1); }
+#else
+// AVX512F does not define _mm512_extractf32x8_ps to extract _m256 from _m512
+template<int I_> EIGEN_STRONG_INLINE Packet8f extract256(Packet16f x) {
+  return  _mm256_castsi256_ps(_mm512_extracti64x4_epi64( _mm512_castps_si512(x),I_));
+}
+
+// AVX512F does not define _mm512_extractf64x2_pd to extract _m128 from _m512
+template<int I_> EIGEN_STRONG_INLINE Packet2d extract128(Packet8d x) {
+  return _mm_castsi128_pd(_mm512_extracti32x4_epi32( _mm512_castpd_si512(x),I_));
+}
+
+EIGEN_STRONG_INLINE Packet16f cat256(Packet8f a, Packet8f b) {
+  return _mm512_castsi512_ps(_mm512_inserti64x4(_mm512_castsi256_si512(_mm256_castps_si256(a)),
+                                                _mm256_castps_si256(b),1));
+}
+#endif
+
+// Helper function for bit packing snippet of low precision comparison.
+// It packs the flags from 32x16 to 16x16.
+EIGEN_STRONG_INLINE __m256i Pack32To16(Packet16f rf) {
+  // Split data into small pieces and handle with AVX instructions
+  // to guarantee internal order of vector.
+  // Operation:
+  //   dst[15:0]    := Saturate16(rf[31:0])
+  //   dst[31:16]   := Saturate16(rf[63:32])
+  //   ...
+  //   dst[255:240] := Saturate16(rf[255:224])
+  __m256i lo = _mm256_castps_si256(extract256<0>(rf));
+  __m256i hi = _mm256_castps_si256(extract256<1>(rf));
+  __m128i result_lo = _mm_packs_epi32(_mm256_extractf128_si256(lo, 0),
+                                      _mm256_extractf128_si256(lo, 1));
+  __m128i result_hi = _mm_packs_epi32(_mm256_extractf128_si256(hi, 0),
+                                      _mm256_extractf128_si256(hi, 1));
+  return _mm256_insertf128_si256(_mm256_castsi128_si256(result_lo), result_hi, 1);
+}
+
+template <>
+EIGEN_STRONG_INLINE Packet16i pand<Packet16i>(const Packet16i& a,
+                                              const Packet16i& b) {
+  return _mm512_and_si512(a,b);
+}
+
+template <>
+EIGEN_STRONG_INLINE Packet16f pand<Packet16f>(const Packet16f& a,
+                                              const Packet16f& b) {
+#ifdef EIGEN_VECTORIZE_AVX512DQ
+  return _mm512_and_ps(a, b);
+#else
+  return _mm512_castsi512_ps(pand(_mm512_castps_si512(a),_mm512_castps_si512(b)));
+#endif
+}
+template <>
+EIGEN_STRONG_INLINE Packet8d pand<Packet8d>(const Packet8d& a,
+                                            const Packet8d& b) {
+#ifdef EIGEN_VECTORIZE_AVX512DQ
+  return _mm512_and_pd(a, b);
+#else
+  Packet8d res = _mm512_undefined_pd();
+  Packet4d lane0_a = _mm512_extractf64x4_pd(a, 0);
+  Packet4d lane0_b = _mm512_extractf64x4_pd(b, 0);
+  res = _mm512_insertf64x4(res, _mm256_and_pd(lane0_a, lane0_b), 0);
+
+  Packet4d lane1_a = _mm512_extractf64x4_pd(a, 1);
+  Packet4d lane1_b = _mm512_extractf64x4_pd(b, 1);
+  return _mm512_insertf64x4(res, _mm256_and_pd(lane1_a, lane1_b), 1);
+#endif
+}
+
+template <>
+EIGEN_STRONG_INLINE Packet16i por<Packet16i>(const Packet16i& a, const Packet16i& b) {
+  return _mm512_or_si512(a, b);
+}
+
+template <>
+EIGEN_STRONG_INLINE Packet16f por<Packet16f>(const Packet16f& a, const Packet16f& b) {
+#ifdef EIGEN_VECTORIZE_AVX512DQ
+  return _mm512_or_ps(a, b);
+#else
+  return _mm512_castsi512_ps(por(_mm512_castps_si512(a),_mm512_castps_si512(b)));
+#endif
+}
+
+template <>
+EIGEN_STRONG_INLINE Packet8d por<Packet8d>(const Packet8d& a,
+                                           const Packet8d& b) {
+#ifdef EIGEN_VECTORIZE_AVX512DQ
+  return _mm512_or_pd(a, b);
+#else
+  return _mm512_castsi512_pd(por(_mm512_castpd_si512(a),_mm512_castpd_si512(b)));
+#endif
+}
+
+template <>
+EIGEN_STRONG_INLINE Packet16i pxor<Packet16i>(const Packet16i& a, const Packet16i& b) {
+  return _mm512_xor_si512(a, b);
+}
+
+template <>
+EIGEN_STRONG_INLINE Packet16f pxor<Packet16f>(const Packet16f& a, const Packet16f& b) {
+#ifdef EIGEN_VECTORIZE_AVX512DQ
+  return _mm512_xor_ps(a, b);
+#else
+  return _mm512_castsi512_ps(pxor(_mm512_castps_si512(a),_mm512_castps_si512(b)));
+#endif
+}
+
+template <>
+EIGEN_STRONG_INLINE Packet8d pxor<Packet8d>(const Packet8d& a, const Packet8d& b) {
+#ifdef EIGEN_VECTORIZE_AVX512DQ
+  return _mm512_xor_pd(a, b);
+#else
+  return _mm512_castsi512_pd(pxor(_mm512_castpd_si512(a),_mm512_castpd_si512(b)));
+#endif
+}
+
+template <>
+EIGEN_STRONG_INLINE Packet16i pandnot<Packet16i>(const Packet16i& a, const Packet16i& b) {
+  return _mm512_andnot_si512(b, a);
+}
+
+template <>
+EIGEN_STRONG_INLINE Packet16f pandnot<Packet16f>(const Packet16f& a, const Packet16f& b) {
+#ifdef EIGEN_VECTORIZE_AVX512DQ
+  return _mm512_andnot_ps(b, a);
+#else
+  return _mm512_castsi512_ps(pandnot(_mm512_castps_si512(a),_mm512_castps_si512(b)));
+#endif
+}
+template <>
+EIGEN_STRONG_INLINE Packet8d pandnot<Packet8d>(const Packet8d& a,const Packet8d& b) {
+#ifdef EIGEN_VECTORIZE_AVX512DQ
+  return _mm512_andnot_pd(b, a);
+#else
+  return _mm512_castsi512_pd(pandnot(_mm512_castpd_si512(a),_mm512_castpd_si512(b)));
+#endif
+}
+
+template<int N> EIGEN_STRONG_INLINE Packet16i parithmetic_shift_right(Packet16i a) {
+  return _mm512_srai_epi32(a, N);
+}
+
+template<int N> EIGEN_STRONG_INLINE Packet16i plogical_shift_right(Packet16i a) {
+  return _mm512_srli_epi32(a, N);
+}
+
+template<int N> EIGEN_STRONG_INLINE Packet16i plogical_shift_left(Packet16i a) {
+  return _mm512_slli_epi32(a, N);
+}
+
+template <>
+EIGEN_STRONG_INLINE Packet16f pload<Packet16f>(const float* from) {
+  EIGEN_DEBUG_ALIGNED_LOAD return _mm512_load_ps(from);
+}
+template <>
+EIGEN_STRONG_INLINE Packet8d pload<Packet8d>(const double* from) {
+  EIGEN_DEBUG_ALIGNED_LOAD return _mm512_load_pd(from);
+}
+template <>
+EIGEN_STRONG_INLINE Packet16i pload<Packet16i>(const int* from) {
+  EIGEN_DEBUG_ALIGNED_LOAD return _mm512_load_si512(
+      reinterpret_cast<const __m512i*>(from));
+}
+
+template <>
+EIGEN_STRONG_INLINE Packet16f ploadu<Packet16f>(const float* from) {
+  EIGEN_DEBUG_UNALIGNED_LOAD return _mm512_loadu_ps(from);
+}
+template <>
+EIGEN_STRONG_INLINE Packet8d ploadu<Packet8d>(const double* from) {
+  EIGEN_DEBUG_UNALIGNED_LOAD return _mm512_loadu_pd(from);
+}
+template <>
+EIGEN_STRONG_INLINE Packet16i ploadu<Packet16i>(const int* from) {
+  EIGEN_DEBUG_UNALIGNED_LOAD return _mm512_loadu_si512(
+      reinterpret_cast<const __m512i*>(from));
+}
+
+// Loads 8 floats from memory a returns the packet
+// {a0, a0  a1, a1, a2, a2, a3, a3, a4, a4, a5, a5, a6, a6, a7, a7}
+template <>
+EIGEN_STRONG_INLINE Packet16f ploaddup<Packet16f>(const float* from) {
+  // an unaligned load is required here as there is no requirement
+  // on the alignment of input pointer 'from'
+  __m256i low_half = _mm256_loadu_si256(reinterpret_cast<const __m256i*>(from));
+  __m512 even_elements = _mm512_castsi512_ps(_mm512_cvtepu32_epi64(low_half));
+  __m512 pairs = _mm512_permute_ps(even_elements, _MM_SHUFFLE(2, 2, 0, 0));
+  return pairs;
+}
+
+#ifdef EIGEN_VECTORIZE_AVX512DQ
+// FIXME: this does not look optimal, better load a Packet4d and shuffle...
+// Loads 4 doubles from memory a returns the packet {a0, a0  a1, a1, a2, a2, a3,
+// a3}
+template <>
+EIGEN_STRONG_INLINE Packet8d ploaddup<Packet8d>(const double* from) {
+ __m512d x = _mm512_setzero_pd();
+  x = _mm512_insertf64x2(x, _mm_loaddup_pd(&from[0]), 0);
+  x = _mm512_insertf64x2(x, _mm_loaddup_pd(&from[1]), 1);
+  x = _mm512_insertf64x2(x, _mm_loaddup_pd(&from[2]), 2);
+  x = _mm512_insertf64x2(x, _mm_loaddup_pd(&from[3]), 3);
+  return x;
+}
+#else
+template <>
+EIGEN_STRONG_INLINE Packet8d ploaddup<Packet8d>(const double* from) {
+  __m512d x = _mm512_setzero_pd();
+  x = _mm512_mask_broadcastsd_pd(x, 0x3<<0, _mm_load_sd(from+0));
+  x = _mm512_mask_broadcastsd_pd(x, 0x3<<2, _mm_load_sd(from+1));
+  x = _mm512_mask_broadcastsd_pd(x, 0x3<<4, _mm_load_sd(from+2));
+  x = _mm512_mask_broadcastsd_pd(x, 0x3<<6, _mm_load_sd(from+3));
+  return x;
+}
+#endif
+
+// Loads 4 floats from memory a returns the packet
+// {a0, a0  a0, a0, a1, a1, a1, a1, a2, a2, a2, a2, a3, a3, a3, a3}
+template <>
+EIGEN_STRONG_INLINE Packet16f ploadquad<Packet16f>(const float* from) {
+  Packet16f tmp = _mm512_castps128_ps512(ploadu<Packet4f>(from));
+  const Packet16i scatter_mask = _mm512_set_epi32(3,3,3,3, 2,2,2,2, 1,1,1,1, 0,0,0,0);
+  return _mm512_permutexvar_ps(scatter_mask, tmp);
+}
+
+// Loads 2 doubles from memory a returns the packet
+// {a0, a0  a0, a0, a1, a1, a1, a1}
+template <>
+EIGEN_STRONG_INLINE Packet8d ploadquad<Packet8d>(const double* from) {
+  __m256d lane0 = _mm256_set1_pd(*from);
+  __m256d lane1 = _mm256_set1_pd(*(from+1));
+  __m512d tmp = _mm512_undefined_pd();
+  tmp = _mm512_insertf64x4(tmp, lane0, 0);
+  return _mm512_insertf64x4(tmp, lane1, 1);
+}
+
+template <>
+EIGEN_STRONG_INLINE void pstore<float>(float* to, const Packet16f& from) {
+  EIGEN_DEBUG_ALIGNED_STORE _mm512_store_ps(to, from);
+}
+template <>
+EIGEN_STRONG_INLINE void pstore<double>(double* to, const Packet8d& from) {
+  EIGEN_DEBUG_ALIGNED_STORE _mm512_store_pd(to, from);
+}
+template <>
+EIGEN_STRONG_INLINE void pstore<int>(int* to, const Packet16i& from) {
+  EIGEN_DEBUG_ALIGNED_STORE _mm512_storeu_si512(reinterpret_cast<__m512i*>(to),
+                                                from);
+}
+
+template <>
+EIGEN_STRONG_INLINE void pstoreu<float>(float* to, const Packet16f& from) {
+  EIGEN_DEBUG_UNALIGNED_STORE _mm512_storeu_ps(to, from);
+}
+template <>
+EIGEN_STRONG_INLINE void pstoreu<double>(double* to, const Packet8d& from) {
+  EIGEN_DEBUG_UNALIGNED_STORE _mm512_storeu_pd(to, from);
+}
+template <>
+EIGEN_STRONG_INLINE void pstoreu<int>(int* to, const Packet16i& from) {
+  EIGEN_DEBUG_UNALIGNED_STORE _mm512_storeu_si512(
+      reinterpret_cast<__m512i*>(to), from);
+}
+
+template <>
+EIGEN_DEVICE_FUNC inline Packet16f pgather<float, Packet16f>(const float* from,
+                                                             Index stride) {
+  Packet16i stride_vector = _mm512_set1_epi32(convert_index<int>(stride));
+  Packet16i stride_multiplier =
+      _mm512_set_epi32(15, 14, 13, 12, 11, 10, 9, 8, 7, 6, 5, 4, 3, 2, 1, 0);
+  Packet16i indices = _mm512_mullo_epi32(stride_vector, stride_multiplier);
+
+  return _mm512_i32gather_ps(indices, from, 4);
+}
+template <>
+EIGEN_DEVICE_FUNC inline Packet8d pgather<double, Packet8d>(const double* from,
+                                                            Index stride) {
+  Packet8i stride_vector = _mm256_set1_epi32(convert_index<int>(stride));
+  Packet8i stride_multiplier = _mm256_set_epi32(7, 6, 5, 4, 3, 2, 1, 0);
+  Packet8i indices = _mm256_mullo_epi32(stride_vector, stride_multiplier);
+
+  return _mm512_i32gather_pd(indices, from, 8);
+}
+
+template <>
+EIGEN_DEVICE_FUNC inline void pscatter<float, Packet16f>(float* to,
+                                                         const Packet16f& from,
+                                                         Index stride) {
+  Packet16i stride_vector = _mm512_set1_epi32(convert_index<int>(stride));
+  Packet16i stride_multiplier =
+      _mm512_set_epi32(15, 14, 13, 12, 11, 10, 9, 8, 7, 6, 5, 4, 3, 2, 1, 0);
+  Packet16i indices = _mm512_mullo_epi32(stride_vector, stride_multiplier);
+  _mm512_i32scatter_ps(to, indices, from, 4);
+}
+template <>
+EIGEN_DEVICE_FUNC inline void pscatter<double, Packet8d>(double* to,
+                                                         const Packet8d& from,
+                                                         Index stride) {
+  Packet8i stride_vector = _mm256_set1_epi32(convert_index<int>(stride));
+  Packet8i stride_multiplier = _mm256_set_epi32(7, 6, 5, 4, 3, 2, 1, 0);
+  Packet8i indices = _mm256_mullo_epi32(stride_vector, stride_multiplier);
+  _mm512_i32scatter_pd(to, indices, from, 8);
+}
+
+template <>
+EIGEN_STRONG_INLINE void pstore1<Packet16f>(float* to, const float& a) {
+  Packet16f pa = pset1<Packet16f>(a);
+  pstore(to, pa);
+}
+template <>
+EIGEN_STRONG_INLINE void pstore1<Packet8d>(double* to, const double& a) {
+  Packet8d pa = pset1<Packet8d>(a);
+  pstore(to, pa);
+}
+template <>
+EIGEN_STRONG_INLINE void pstore1<Packet16i>(int* to, const int& a) {
+  Packet16i pa = pset1<Packet16i>(a);
+  pstore(to, pa);
+}
+
+template<> EIGEN_STRONG_INLINE void prefetch<float>(const float*   addr) { _mm_prefetch((SsePrefetchPtrType)(addr), _MM_HINT_T0); }
+template<> EIGEN_STRONG_INLINE void prefetch<double>(const double* addr) { _mm_prefetch((SsePrefetchPtrType)(addr), _MM_HINT_T0); }
+template<> EIGEN_STRONG_INLINE void prefetch<int>(const int*       addr) { _mm_prefetch((SsePrefetchPtrType)(addr), _MM_HINT_T0); }
+
+template <>
+EIGEN_STRONG_INLINE float pfirst<Packet16f>(const Packet16f& a) {
+  return _mm_cvtss_f32(_mm512_extractf32x4_ps(a, 0));
+}
+template <>
+EIGEN_STRONG_INLINE double pfirst<Packet8d>(const Packet8d& a) {
+  return _mm_cvtsd_f64(_mm256_extractf128_pd(_mm512_extractf64x4_pd(a, 0), 0));
+}
+template <>
+EIGEN_STRONG_INLINE int pfirst<Packet16i>(const Packet16i& a) {
+  return _mm_extract_epi32(_mm512_extracti32x4_epi32(a, 0), 0);
+}
+
+template<> EIGEN_STRONG_INLINE Packet16f preverse(const Packet16f& a)
+{
+  return _mm512_permutexvar_ps(_mm512_set_epi32(0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15), a);
+}
+
+template<> EIGEN_STRONG_INLINE Packet8d preverse(const Packet8d& a)
+{
+  return _mm512_permutexvar_pd(_mm512_set_epi32(0, 0, 0, 1, 0, 2, 0, 3, 0, 4, 0, 5, 0, 6, 0, 7), a);
+}
+
+template<> EIGEN_STRONG_INLINE Packet16f pabs(const Packet16f& a)
+{
+  // _mm512_abs_ps intrinsic not found, so hack around it
+  return _mm512_castsi512_ps(_mm512_and_si512(_mm512_castps_si512(a), _mm512_set1_epi32(0x7fffffff)));
+}
+template <>
+EIGEN_STRONG_INLINE Packet8d pabs(const Packet8d& a) {
+  // _mm512_abs_ps intrinsic not found, so hack around it
+  return _mm512_castsi512_pd(_mm512_and_si512(_mm512_castpd_si512(a),
+                                   _mm512_set1_epi64(0x7fffffffffffffff)));
+}
+
+#ifdef EIGEN_VECTORIZE_AVX512DQ
+// AVX512F does not define _mm512_extractf32x8_ps to extract _m256 from _m512
+#define EIGEN_EXTRACT_8f_FROM_16f(INPUT, OUTPUT)                           \
+  __m256 OUTPUT##_0 = _mm512_extractf32x8_ps(INPUT, 0);                    \
+  __m256 OUTPUT##_1 = _mm512_extractf32x8_ps(INPUT, 1)
+#else
+#define EIGEN_EXTRACT_8f_FROM_16f(INPUT, OUTPUT)                \
+  __m256 OUTPUT##_0 = _mm256_insertf128_ps(                     \
+      _mm256_castps128_ps256(_mm512_extractf32x4_ps(INPUT, 0)), \
+      _mm512_extractf32x4_ps(INPUT, 1), 1);                     \
+  __m256 OUTPUT##_1 = _mm256_insertf128_ps(                     \
+      _mm256_castps128_ps256(_mm512_extractf32x4_ps(INPUT, 2)), \
+      _mm512_extractf32x4_ps(INPUT, 3), 1);
+#endif
+
+#ifdef EIGEN_VECTORIZE_AVX512DQ
+#define EIGEN_INSERT_8f_INTO_16f(OUTPUT, INPUTA, INPUTB) \
+  OUTPUT = _mm512_insertf32x8(_mm512_castps256_ps512(INPUTA), INPUTB, 1);
+#else
+#define EIGEN_INSERT_8f_INTO_16f(OUTPUT, INPUTA, INPUTB)                    \
+  OUTPUT = _mm512_undefined_ps();                                           \
+  OUTPUT = _mm512_insertf32x4(OUTPUT, _mm256_extractf128_ps(INPUTA, 0), 0); \
+  OUTPUT = _mm512_insertf32x4(OUTPUT, _mm256_extractf128_ps(INPUTA, 1), 1); \
+  OUTPUT = _mm512_insertf32x4(OUTPUT, _mm256_extractf128_ps(INPUTB, 0), 2); \
+  OUTPUT = _mm512_insertf32x4(OUTPUT, _mm256_extractf128_ps(INPUTB, 1), 3);
+#endif
+
+template <>
+EIGEN_STRONG_INLINE float predux<Packet16f>(const Packet16f& a) {
+#ifdef EIGEN_VECTORIZE_AVX512DQ
+  __m256 lane0 = _mm512_extractf32x8_ps(a, 0);
+  __m256 lane1 = _mm512_extractf32x8_ps(a, 1);
+  Packet8f x = _mm256_add_ps(lane0, lane1);
+  return predux<Packet8f>(x);
+#else
+  __m128 lane0 = _mm512_extractf32x4_ps(a, 0);
+  __m128 lane1 = _mm512_extractf32x4_ps(a, 1);
+  __m128 lane2 = _mm512_extractf32x4_ps(a, 2);
+  __m128 lane3 = _mm512_extractf32x4_ps(a, 3);
+  __m128 sum = _mm_add_ps(_mm_add_ps(lane0, lane1), _mm_add_ps(lane2, lane3));
+  sum = _mm_hadd_ps(sum, sum);
+  sum = _mm_hadd_ps(sum, _mm_permute_ps(sum, 1));
+  return _mm_cvtss_f32(sum);
+#endif
+}
+template <>
+EIGEN_STRONG_INLINE double predux<Packet8d>(const Packet8d& a) {
+  __m256d lane0 = _mm512_extractf64x4_pd(a, 0);
+  __m256d lane1 = _mm512_extractf64x4_pd(a, 1);
+  __m256d sum = _mm256_add_pd(lane0, lane1);
+  __m256d tmp0 = _mm256_hadd_pd(sum, _mm256_permute2f128_pd(sum, sum, 1));
+  return _mm_cvtsd_f64(_mm256_castpd256_pd128(_mm256_hadd_pd(tmp0, tmp0)));
+}
+
+template <>
+EIGEN_STRONG_INLINE Packet8f predux_downto4<Packet16f>(const Packet16f& a) {
+#ifdef EIGEN_VECTORIZE_AVX512DQ
+  Packet8f lane0 = _mm512_extractf32x8_ps(a, 0);
+  Packet8f lane1 = _mm512_extractf32x8_ps(a, 1);
+  return padd(lane0, lane1);
+#else
+  Packet4f lane0 = _mm512_extractf32x4_ps(a, 0);
+  Packet4f lane1 = _mm512_extractf32x4_ps(a, 1);
+  Packet4f lane2 = _mm512_extractf32x4_ps(a, 2);
+  Packet4f lane3 = _mm512_extractf32x4_ps(a, 3);
+  Packet4f sum0 = padd(lane0, lane2);
+  Packet4f sum1 = padd(lane1, lane3);
+  return _mm256_insertf128_ps(_mm256_castps128_ps256(sum0), sum1, 1);
+#endif
+}
+template <>
+EIGEN_STRONG_INLINE Packet4d predux_downto4<Packet8d>(const Packet8d& a) {
+  Packet4d lane0 = _mm512_extractf64x4_pd(a, 0);
+  Packet4d lane1 = _mm512_extractf64x4_pd(a, 1);
+  Packet4d res = padd(lane0, lane1);
+  return res;
+}
+
+template <>
+EIGEN_STRONG_INLINE float predux_mul<Packet16f>(const Packet16f& a) {
+//#ifdef EIGEN_VECTORIZE_AVX512DQ
+#if 0
+  Packet8f lane0 = _mm512_extractf32x8_ps(a, 0);
+  Packet8f lane1 = _mm512_extractf32x8_ps(a, 1);
+  Packet8f res = pmul(lane0, lane1);
+  res = pmul(res, _mm256_permute2f128_ps(res, res, 1));
+  res = pmul(res, _mm_permute_ps(res, _MM_SHUFFLE(0, 0, 3, 2)));
+  return pfirst(pmul(res, _mm_permute_ps(res, _MM_SHUFFLE(0, 0, 0, 1))));
+#else
+  __m128 lane0 = _mm512_extractf32x4_ps(a, 0);
+  __m128 lane1 = _mm512_extractf32x4_ps(a, 1);
+  __m128 lane2 = _mm512_extractf32x4_ps(a, 2);
+  __m128 lane3 = _mm512_extractf32x4_ps(a, 3);
+  __m128 res = pmul(pmul(lane0, lane1), pmul(lane2, lane3));
+  res = pmul(res, _mm_permute_ps(res, _MM_SHUFFLE(0, 0, 3, 2)));
+  return pfirst(pmul(res, _mm_permute_ps(res, _MM_SHUFFLE(0, 0, 0, 1))));
+#endif
+}
+template <>
+EIGEN_STRONG_INLINE double predux_mul<Packet8d>(const Packet8d& a) {
+  __m256d lane0 = _mm512_extractf64x4_pd(a, 0);
+  __m256d lane1 = _mm512_extractf64x4_pd(a, 1);
+  __m256d res = pmul(lane0, lane1);
+  res = pmul(res, _mm256_permute2f128_pd(res, res, 1));
+  return pfirst(pmul(res, _mm256_shuffle_pd(res, res, 1)));
+}
+
+template <>
+EIGEN_STRONG_INLINE float predux_min<Packet16f>(const Packet16f& a) {
+  __m128 lane0 = _mm512_extractf32x4_ps(a, 0);
+  __m128 lane1 = _mm512_extractf32x4_ps(a, 1);
+  __m128 lane2 = _mm512_extractf32x4_ps(a, 2);
+  __m128 lane3 = _mm512_extractf32x4_ps(a, 3);
+  __m128 res = _mm_min_ps(_mm_min_ps(lane0, lane1), _mm_min_ps(lane2, lane3));
+  res = _mm_min_ps(res, _mm_permute_ps(res, _MM_SHUFFLE(0, 0, 3, 2)));
+  return pfirst(_mm_min_ps(res, _mm_permute_ps(res, _MM_SHUFFLE(0, 0, 0, 1))));
+}
+template <>
+EIGEN_STRONG_INLINE double predux_min<Packet8d>(const Packet8d& a) {
+  __m256d lane0 = _mm512_extractf64x4_pd(a, 0);
+  __m256d lane1 = _mm512_extractf64x4_pd(a, 1);
+  __m256d res = _mm256_min_pd(lane0, lane1);
+  res = _mm256_min_pd(res, _mm256_permute2f128_pd(res, res, 1));
+  return pfirst(_mm256_min_pd(res, _mm256_shuffle_pd(res, res, 1)));
+}
+
+template <>
+EIGEN_STRONG_INLINE float predux_max<Packet16f>(const Packet16f& a) {
+  __m128 lane0 = _mm512_extractf32x4_ps(a, 0);
+  __m128 lane1 = _mm512_extractf32x4_ps(a, 1);
+  __m128 lane2 = _mm512_extractf32x4_ps(a, 2);
+  __m128 lane3 = _mm512_extractf32x4_ps(a, 3);
+  __m128 res = _mm_max_ps(_mm_max_ps(lane0, lane1), _mm_max_ps(lane2, lane3));
+  res = _mm_max_ps(res, _mm_permute_ps(res, _MM_SHUFFLE(0, 0, 3, 2)));
+  return pfirst(_mm_max_ps(res, _mm_permute_ps(res, _MM_SHUFFLE(0, 0, 0, 1))));
+}
+
+template <>
+EIGEN_STRONG_INLINE double predux_max<Packet8d>(const Packet8d& a) {
+  __m256d lane0 = _mm512_extractf64x4_pd(a, 0);
+  __m256d lane1 = _mm512_extractf64x4_pd(a, 1);
+  __m256d res = _mm256_max_pd(lane0, lane1);
+  res = _mm256_max_pd(res, _mm256_permute2f128_pd(res, res, 1));
+  return pfirst(_mm256_max_pd(res, _mm256_shuffle_pd(res, res, 1)));
+}
+
+template<> EIGEN_STRONG_INLINE Packet16f preduxp<Packet16f>(const Packet16f* vecs)
+{
+  EIGEN_EXTRACT_8f_FROM_16f(vecs[0], vecs0);
+  EIGEN_EXTRACT_8f_FROM_16f(vecs[1], vecs1);
+  EIGEN_EXTRACT_8f_FROM_16f(vecs[2], vecs2);
+  EIGEN_EXTRACT_8f_FROM_16f(vecs[3], vecs3);
+  EIGEN_EXTRACT_8f_FROM_16f(vecs[4], vecs4);
+  EIGEN_EXTRACT_8f_FROM_16f(vecs[5], vecs5);
+  EIGEN_EXTRACT_8f_FROM_16f(vecs[6], vecs6);
+  EIGEN_EXTRACT_8f_FROM_16f(vecs[7], vecs7);
+  EIGEN_EXTRACT_8f_FROM_16f(vecs[8], vecs8);
+  EIGEN_EXTRACT_8f_FROM_16f(vecs[9], vecs9);
+  EIGEN_EXTRACT_8f_FROM_16f(vecs[10], vecs10);
+  EIGEN_EXTRACT_8f_FROM_16f(vecs[11], vecs11);
+  EIGEN_EXTRACT_8f_FROM_16f(vecs[12], vecs12);
+  EIGEN_EXTRACT_8f_FROM_16f(vecs[13], vecs13);
+  EIGEN_EXTRACT_8f_FROM_16f(vecs[14], vecs14);
+  EIGEN_EXTRACT_8f_FROM_16f(vecs[15], vecs15);
+
+  __m256 hsum1 = _mm256_hadd_ps(vecs0_0, vecs1_0);
+  __m256 hsum2 = _mm256_hadd_ps(vecs2_0, vecs3_0);
+  __m256 hsum3 = _mm256_hadd_ps(vecs4_0, vecs5_0);
+  __m256 hsum4 = _mm256_hadd_ps(vecs6_0, vecs7_0);
+
+  __m256 hsum5 = _mm256_hadd_ps(hsum1, hsum1);
+  __m256 hsum6 = _mm256_hadd_ps(hsum2, hsum2);
+  __m256 hsum7 = _mm256_hadd_ps(hsum3, hsum3);
+  __m256 hsum8 = _mm256_hadd_ps(hsum4, hsum4);
+
+  __m256 perm1 = _mm256_permute2f128_ps(hsum5, hsum5, 0x23);
+  __m256 perm2 = _mm256_permute2f128_ps(hsum6, hsum6, 0x23);
+  __m256 perm3 = _mm256_permute2f128_ps(hsum7, hsum7, 0x23);
+  __m256 perm4 = _mm256_permute2f128_ps(hsum8, hsum8, 0x23);
+
+  __m256 sum1 = _mm256_add_ps(perm1, hsum5);
+  __m256 sum2 = _mm256_add_ps(perm2, hsum6);
+  __m256 sum3 = _mm256_add_ps(perm3, hsum7);
+  __m256 sum4 = _mm256_add_ps(perm4, hsum8);
+
+  __m256 blend1 = _mm256_blend_ps(sum1, sum2, 0xcc);
+  __m256 blend2 = _mm256_blend_ps(sum3, sum4, 0xcc);
+
+  __m256 final = _mm256_blend_ps(blend1, blend2, 0xf0);
+
+  hsum1 = _mm256_hadd_ps(vecs0_1, vecs1_1);
+  hsum2 = _mm256_hadd_ps(vecs2_1, vecs3_1);
+  hsum3 = _mm256_hadd_ps(vecs4_1, vecs5_1);
+  hsum4 = _mm256_hadd_ps(vecs6_1, vecs7_1);
+
+  hsum5 = _mm256_hadd_ps(hsum1, hsum1);
+  hsum6 = _mm256_hadd_ps(hsum2, hsum2);
+  hsum7 = _mm256_hadd_ps(hsum3, hsum3);
+  hsum8 = _mm256_hadd_ps(hsum4, hsum4);
+
+  perm1 = _mm256_permute2f128_ps(hsum5, hsum5, 0x23);
+  perm2 = _mm256_permute2f128_ps(hsum6, hsum6, 0x23);
+  perm3 = _mm256_permute2f128_ps(hsum7, hsum7, 0x23);
+  perm4 = _mm256_permute2f128_ps(hsum8, hsum8, 0x23);
+
+  sum1 = _mm256_add_ps(perm1, hsum5);
+  sum2 = _mm256_add_ps(perm2, hsum6);
+  sum3 = _mm256_add_ps(perm3, hsum7);
+  sum4 = _mm256_add_ps(perm4, hsum8);
+
+  blend1 = _mm256_blend_ps(sum1, sum2, 0xcc);
+  blend2 = _mm256_blend_ps(sum3, sum4, 0xcc);
+
+  final = padd(final, _mm256_blend_ps(blend1, blend2, 0xf0));
+
+  hsum1 = _mm256_hadd_ps(vecs8_0, vecs9_0);
+  hsum2 = _mm256_hadd_ps(vecs10_0, vecs11_0);
+  hsum3 = _mm256_hadd_ps(vecs12_0, vecs13_0);
+  hsum4 = _mm256_hadd_ps(vecs14_0, vecs15_0);
+
+  hsum5 = _mm256_hadd_ps(hsum1, hsum1);
+  hsum6 = _mm256_hadd_ps(hsum2, hsum2);
+  hsum7 = _mm256_hadd_ps(hsum3, hsum3);
+  hsum8 = _mm256_hadd_ps(hsum4, hsum4);
+
+  perm1 = _mm256_permute2f128_ps(hsum5, hsum5, 0x23);
+  perm2 = _mm256_permute2f128_ps(hsum6, hsum6, 0x23);
+  perm3 = _mm256_permute2f128_ps(hsum7, hsum7, 0x23);
+  perm4 = _mm256_permute2f128_ps(hsum8, hsum8, 0x23);
+
+  sum1 = _mm256_add_ps(perm1, hsum5);
+  sum2 = _mm256_add_ps(perm2, hsum6);
+  sum3 = _mm256_add_ps(perm3, hsum7);
+  sum4 = _mm256_add_ps(perm4, hsum8);
+
+  blend1 = _mm256_blend_ps(sum1, sum2, 0xcc);
+  blend2 = _mm256_blend_ps(sum3, sum4, 0xcc);
+
+  __m256 final_1 = _mm256_blend_ps(blend1, blend2, 0xf0);
+
+  hsum1 = _mm256_hadd_ps(vecs8_1, vecs9_1);
+  hsum2 = _mm256_hadd_ps(vecs10_1, vecs11_1);
+  hsum3 = _mm256_hadd_ps(vecs12_1, vecs13_1);
+  hsum4 = _mm256_hadd_ps(vecs14_1, vecs15_1);
+
+  hsum5 = _mm256_hadd_ps(hsum1, hsum1);
+  hsum6 = _mm256_hadd_ps(hsum2, hsum2);
+  hsum7 = _mm256_hadd_ps(hsum3, hsum3);
+  hsum8 = _mm256_hadd_ps(hsum4, hsum4);
+
+  perm1 = _mm256_permute2f128_ps(hsum5, hsum5, 0x23);
+  perm2 = _mm256_permute2f128_ps(hsum6, hsum6, 0x23);
+  perm3 = _mm256_permute2f128_ps(hsum7, hsum7, 0x23);
+  perm4 = _mm256_permute2f128_ps(hsum8, hsum8, 0x23);
+
+  sum1 = _mm256_add_ps(perm1, hsum5);
+  sum2 = _mm256_add_ps(perm2, hsum6);
+  sum3 = _mm256_add_ps(perm3, hsum7);
+  sum4 = _mm256_add_ps(perm4, hsum8);
+
+  blend1 = _mm256_blend_ps(sum1, sum2, 0xcc);
+  blend2 = _mm256_blend_ps(sum3, sum4, 0xcc);
+
+  final_1 = padd(final_1, _mm256_blend_ps(blend1, blend2, 0xf0));
+
+  __m512 final_output;
+
+  EIGEN_INSERT_8f_INTO_16f(final_output, final, final_1);
+  return final_output;
+}
+
+template<> EIGEN_STRONG_INLINE Packet8d preduxp<Packet8d>(const Packet8d* vecs)
+{
+  Packet4d vecs0_0 = _mm512_extractf64x4_pd(vecs[0], 0);
+  Packet4d vecs0_1 = _mm512_extractf64x4_pd(vecs[0], 1);
+
+  Packet4d vecs1_0 = _mm512_extractf64x4_pd(vecs[1], 0);
+  Packet4d vecs1_1 = _mm512_extractf64x4_pd(vecs[1], 1);
+
+  Packet4d vecs2_0 = _mm512_extractf64x4_pd(vecs[2], 0);
+  Packet4d vecs2_1 = _mm512_extractf64x4_pd(vecs[2], 1);
+
+  Packet4d vecs3_0 = _mm512_extractf64x4_pd(vecs[3], 0);
+  Packet4d vecs3_1 = _mm512_extractf64x4_pd(vecs[3], 1);
+
+  Packet4d vecs4_0 = _mm512_extractf64x4_pd(vecs[4], 0);
+  Packet4d vecs4_1 = _mm512_extractf64x4_pd(vecs[4], 1);
+
+  Packet4d vecs5_0 = _mm512_extractf64x4_pd(vecs[5], 0);
+  Packet4d vecs5_1 = _mm512_extractf64x4_pd(vecs[5], 1);
+
+  Packet4d vecs6_0 = _mm512_extractf64x4_pd(vecs[6], 0);
+  Packet4d vecs6_1 = _mm512_extractf64x4_pd(vecs[6], 1);
+
+  Packet4d vecs7_0 = _mm512_extractf64x4_pd(vecs[7], 0);
+  Packet4d vecs7_1 = _mm512_extractf64x4_pd(vecs[7], 1);
+
+  Packet4d tmp0, tmp1;
+
+  tmp0 = _mm256_hadd_pd(vecs0_0, vecs1_0);
+  tmp0 = _mm256_add_pd(tmp0, _mm256_permute2f128_pd(tmp0, tmp0, 1));
+
+  tmp1 = _mm256_hadd_pd(vecs2_0, vecs3_0);
+  tmp1 = _mm256_add_pd(tmp1, _mm256_permute2f128_pd(tmp1, tmp1, 1));
+
+  __m256d final_0 = _mm256_blend_pd(tmp0, tmp1, 0xC);
+
+  tmp0 = _mm256_hadd_pd(vecs0_1, vecs1_1);
+  tmp0 = _mm256_add_pd(tmp0, _mm256_permute2f128_pd(tmp0, tmp0, 1));
+
+  tmp1 = _mm256_hadd_pd(vecs2_1, vecs3_1);
+  tmp1 = _mm256_add_pd(tmp1, _mm256_permute2f128_pd(tmp1, tmp1, 1));
+
+  final_0 = padd(final_0, _mm256_blend_pd(tmp0, tmp1, 0xC));
+
+  tmp0 = _mm256_hadd_pd(vecs4_0, vecs5_0);
+  tmp0 = _mm256_add_pd(tmp0, _mm256_permute2f128_pd(tmp0, tmp0, 1));
+
+  tmp1 = _mm256_hadd_pd(vecs6_0, vecs7_0);
+  tmp1 = _mm256_add_pd(tmp1, _mm256_permute2f128_pd(tmp1, tmp1, 1));
+
+  __m256d final_1 = _mm256_blend_pd(tmp0, tmp1, 0xC);
+
+  tmp0 = _mm256_hadd_pd(vecs4_1, vecs5_1);
+  tmp0 = _mm256_add_pd(tmp0, _mm256_permute2f128_pd(tmp0, tmp0, 1));
+
+  tmp1 = _mm256_hadd_pd(vecs6_1, vecs7_1);
+  tmp1 = _mm256_add_pd(tmp1, _mm256_permute2f128_pd(tmp1, tmp1, 1));
+
+  final_1 = padd(final_1, _mm256_blend_pd(tmp0, tmp1, 0xC));
+
+  __m512d final_output = _mm512_insertf64x4(final_output, final_0, 0);
+
+  return _mm512_insertf64x4(final_output, final_1, 1);
+}
+ 
+
+
+#define PACK_OUTPUT(OUTPUT, INPUT, INDEX, STRIDE) \
+  EIGEN_INSERT_8f_INTO_16f(OUTPUT[INDEX], INPUT[INDEX], INPUT[INDEX + STRIDE]);
+
+EIGEN_DEVICE_FUNC inline void ptranspose(PacketBlock<Packet16f, 16>& kernel) {
+  __m512 T0 = _mm512_unpacklo_ps(kernel.packet[0], kernel.packet[1]);
+  __m512 T1 = _mm512_unpackhi_ps(kernel.packet[0], kernel.packet[1]);
+  __m512 T2 = _mm512_unpacklo_ps(kernel.packet[2], kernel.packet[3]);
+  __m512 T3 = _mm512_unpackhi_ps(kernel.packet[2], kernel.packet[3]);
+  __m512 T4 = _mm512_unpacklo_ps(kernel.packet[4], kernel.packet[5]);
+  __m512 T5 = _mm512_unpackhi_ps(kernel.packet[4], kernel.packet[5]);
+  __m512 T6 = _mm512_unpacklo_ps(kernel.packet[6], kernel.packet[7]);
+  __m512 T7 = _mm512_unpackhi_ps(kernel.packet[6], kernel.packet[7]);
+  __m512 T8 = _mm512_unpacklo_ps(kernel.packet[8], kernel.packet[9]);
+  __m512 T9 = _mm512_unpackhi_ps(kernel.packet[8], kernel.packet[9]);
+  __m512 T10 = _mm512_unpacklo_ps(kernel.packet[10], kernel.packet[11]);
+  __m512 T11 = _mm512_unpackhi_ps(kernel.packet[10], kernel.packet[11]);
+  __m512 T12 = _mm512_unpacklo_ps(kernel.packet[12], kernel.packet[13]);
+  __m512 T13 = _mm512_unpackhi_ps(kernel.packet[12], kernel.packet[13]);
+  __m512 T14 = _mm512_unpacklo_ps(kernel.packet[14], kernel.packet[15]);
+  __m512 T15 = _mm512_unpackhi_ps(kernel.packet[14], kernel.packet[15]);
+  __m512 S0 = _mm512_shuffle_ps(T0, T2, _MM_SHUFFLE(1, 0, 1, 0));
+  __m512 S1 = _mm512_shuffle_ps(T0, T2, _MM_SHUFFLE(3, 2, 3, 2));
+  __m512 S2 = _mm512_shuffle_ps(T1, T3, _MM_SHUFFLE(1, 0, 1, 0));
+  __m512 S3 = _mm512_shuffle_ps(T1, T3, _MM_SHUFFLE(3, 2, 3, 2));
+  __m512 S4 = _mm512_shuffle_ps(T4, T6, _MM_SHUFFLE(1, 0, 1, 0));
+  __m512 S5 = _mm512_shuffle_ps(T4, T6, _MM_SHUFFLE(3, 2, 3, 2));
+  __m512 S6 = _mm512_shuffle_ps(T5, T7, _MM_SHUFFLE(1, 0, 1, 0));
+  __m512 S7 = _mm512_shuffle_ps(T5, T7, _MM_SHUFFLE(3, 2, 3, 2));
+  __m512 S8 = _mm512_shuffle_ps(T8, T10, _MM_SHUFFLE(1, 0, 1, 0));
+  __m512 S9 = _mm512_shuffle_ps(T8, T10, _MM_SHUFFLE(3, 2, 3, 2));
+  __m512 S10 = _mm512_shuffle_ps(T9, T11, _MM_SHUFFLE(1, 0, 1, 0));
+  __m512 S11 = _mm512_shuffle_ps(T9, T11, _MM_SHUFFLE(3, 2, 3, 2));
+  __m512 S12 = _mm512_shuffle_ps(T12, T14, _MM_SHUFFLE(1, 0, 1, 0));
+  __m512 S13 = _mm512_shuffle_ps(T12, T14, _MM_SHUFFLE(3, 2, 3, 2));
+  __m512 S14 = _mm512_shuffle_ps(T13, T15, _MM_SHUFFLE(1, 0, 1, 0));
+  __m512 S15 = _mm512_shuffle_ps(T13, T15, _MM_SHUFFLE(3, 2, 3, 2));
+
+  EIGEN_EXTRACT_8f_FROM_16f(S0, S0);
+  EIGEN_EXTRACT_8f_FROM_16f(S1, S1);
+  EIGEN_EXTRACT_8f_FROM_16f(S2, S2);
+  EIGEN_EXTRACT_8f_FROM_16f(S3, S3);
+  EIGEN_EXTRACT_8f_FROM_16f(S4, S4);
+  EIGEN_EXTRACT_8f_FROM_16f(S5, S5);
+  EIGEN_EXTRACT_8f_FROM_16f(S6, S6);
+  EIGEN_EXTRACT_8f_FROM_16f(S7, S7);
+  EIGEN_EXTRACT_8f_FROM_16f(S8, S8);
+  EIGEN_EXTRACT_8f_FROM_16f(S9, S9);
+  EIGEN_EXTRACT_8f_FROM_16f(S10, S10);
+  EIGEN_EXTRACT_8f_FROM_16f(S11, S11);
+  EIGEN_EXTRACT_8f_FROM_16f(S12, S12);
+  EIGEN_EXTRACT_8f_FROM_16f(S13, S13);
+  EIGEN_EXTRACT_8f_FROM_16f(S14, S14);
+  EIGEN_EXTRACT_8f_FROM_16f(S15, S15);
+
+  PacketBlock<Packet8f, 32> tmp;
+
+  tmp.packet[0] = _mm256_permute2f128_ps(S0_0, S4_0, 0x20);
+  tmp.packet[1] = _mm256_permute2f128_ps(S1_0, S5_0, 0x20);
+  tmp.packet[2] = _mm256_permute2f128_ps(S2_0, S6_0, 0x20);
+  tmp.packet[3] = _mm256_permute2f128_ps(S3_0, S7_0, 0x20);
+  tmp.packet[4] = _mm256_permute2f128_ps(S0_0, S4_0, 0x31);
+  tmp.packet[5] = _mm256_permute2f128_ps(S1_0, S5_0, 0x31);
+  tmp.packet[6] = _mm256_permute2f128_ps(S2_0, S6_0, 0x31);
+  tmp.packet[7] = _mm256_permute2f128_ps(S3_0, S7_0, 0x31);
+
+  tmp.packet[8] = _mm256_permute2f128_ps(S0_1, S4_1, 0x20);
+  tmp.packet[9] = _mm256_permute2f128_ps(S1_1, S5_1, 0x20);
+  tmp.packet[10] = _mm256_permute2f128_ps(S2_1, S6_1, 0x20);
+  tmp.packet[11] = _mm256_permute2f128_ps(S3_1, S7_1, 0x20);
+  tmp.packet[12] = _mm256_permute2f128_ps(S0_1, S4_1, 0x31);
+  tmp.packet[13] = _mm256_permute2f128_ps(S1_1, S5_1, 0x31);
+  tmp.packet[14] = _mm256_permute2f128_ps(S2_1, S6_1, 0x31);
+  tmp.packet[15] = _mm256_permute2f128_ps(S3_1, S7_1, 0x31);
+
+  // Second set of _m256 outputs
+  tmp.packet[16] = _mm256_permute2f128_ps(S8_0, S12_0, 0x20);
+  tmp.packet[17] = _mm256_permute2f128_ps(S9_0, S13_0, 0x20);
+  tmp.packet[18] = _mm256_permute2f128_ps(S10_0, S14_0, 0x20);
+  tmp.packet[19] = _mm256_permute2f128_ps(S11_0, S15_0, 0x20);
+  tmp.packet[20] = _mm256_permute2f128_ps(S8_0, S12_0, 0x31);
+  tmp.packet[21] = _mm256_permute2f128_ps(S9_0, S13_0, 0x31);
+  tmp.packet[22] = _mm256_permute2f128_ps(S10_0, S14_0, 0x31);
+  tmp.packet[23] = _mm256_permute2f128_ps(S11_0, S15_0, 0x31);
+
+  tmp.packet[24] = _mm256_permute2f128_ps(S8_1, S12_1, 0x20);
+  tmp.packet[25] = _mm256_permute2f128_ps(S9_1, S13_1, 0x20);
+  tmp.packet[26] = _mm256_permute2f128_ps(S10_1, S14_1, 0x20);
+  tmp.packet[27] = _mm256_permute2f128_ps(S11_1, S15_1, 0x20);
+  tmp.packet[28] = _mm256_permute2f128_ps(S8_1, S12_1, 0x31);
+  tmp.packet[29] = _mm256_permute2f128_ps(S9_1, S13_1, 0x31);
+  tmp.packet[30] = _mm256_permute2f128_ps(S10_1, S14_1, 0x31);
+  tmp.packet[31] = _mm256_permute2f128_ps(S11_1, S15_1, 0x31);
+
+  // Pack them into the output
+  PACK_OUTPUT(kernel.packet, tmp.packet, 0, 16);
+  PACK_OUTPUT(kernel.packet, tmp.packet, 1, 16);
+  PACK_OUTPUT(kernel.packet, tmp.packet, 2, 16);
+  PACK_OUTPUT(kernel.packet, tmp.packet, 3, 16);
+
+  PACK_OUTPUT(kernel.packet, tmp.packet, 4, 16);
+  PACK_OUTPUT(kernel.packet, tmp.packet, 5, 16);
+  PACK_OUTPUT(kernel.packet, tmp.packet, 6, 16);
+  PACK_OUTPUT(kernel.packet, tmp.packet, 7, 16);
+
+  PACK_OUTPUT(kernel.packet, tmp.packet, 8, 16);
+  PACK_OUTPUT(kernel.packet, tmp.packet, 9, 16);
+  PACK_OUTPUT(kernel.packet, tmp.packet, 10, 16);
+  PACK_OUTPUT(kernel.packet, tmp.packet, 11, 16);
+
+  PACK_OUTPUT(kernel.packet, tmp.packet, 12, 16);
+  PACK_OUTPUT(kernel.packet, tmp.packet, 13, 16);
+  PACK_OUTPUT(kernel.packet, tmp.packet, 14, 16);
+  PACK_OUTPUT(kernel.packet, tmp.packet, 15, 16);
+}
+#define PACK_OUTPUT_2(OUTPUT, INPUT, INDEX, STRIDE)         \
+  EIGEN_INSERT_8f_INTO_16f(OUTPUT[INDEX], INPUT[2 * INDEX], \
+                           INPUT[2 * INDEX + STRIDE]);
+
+EIGEN_DEVICE_FUNC inline void ptranspose(PacketBlock<Packet16f, 4>& kernel) {
+  __m512 T0 = _mm512_unpacklo_ps(kernel.packet[0], kernel.packet[1]);
+  __m512 T1 = _mm512_unpackhi_ps(kernel.packet[0], kernel.packet[1]);
+  __m512 T2 = _mm512_unpacklo_ps(kernel.packet[2], kernel.packet[3]);
+  __m512 T3 = _mm512_unpackhi_ps(kernel.packet[2], kernel.packet[3]);
+
+  __m512 S0 = _mm512_shuffle_ps(T0, T2, _MM_SHUFFLE(1, 0, 1, 0));
+  __m512 S1 = _mm512_shuffle_ps(T0, T2, _MM_SHUFFLE(3, 2, 3, 2));
+  __m512 S2 = _mm512_shuffle_ps(T1, T3, _MM_SHUFFLE(1, 0, 1, 0));
+  __m512 S3 = _mm512_shuffle_ps(T1, T3, _MM_SHUFFLE(3, 2, 3, 2));
+
+  EIGEN_EXTRACT_8f_FROM_16f(S0, S0);
+  EIGEN_EXTRACT_8f_FROM_16f(S1, S1);
+  EIGEN_EXTRACT_8f_FROM_16f(S2, S2);
+  EIGEN_EXTRACT_8f_FROM_16f(S3, S3);
+
+  PacketBlock<Packet8f, 8> tmp;
+
+  tmp.packet[0] = _mm256_permute2f128_ps(S0_0, S1_0, 0x20);
+  tmp.packet[1] = _mm256_permute2f128_ps(S2_0, S3_0, 0x20);
+  tmp.packet[2] = _mm256_permute2f128_ps(S0_0, S1_0, 0x31);
+  tmp.packet[3] = _mm256_permute2f128_ps(S2_0, S3_0, 0x31);
+
+  tmp.packet[4] = _mm256_permute2f128_ps(S0_1, S1_1, 0x20);
+  tmp.packet[5] = _mm256_permute2f128_ps(S2_1, S3_1, 0x20);
+  tmp.packet[6] = _mm256_permute2f128_ps(S0_1, S1_1, 0x31);
+  tmp.packet[7] = _mm256_permute2f128_ps(S2_1, S3_1, 0x31);
+
+  PACK_OUTPUT_2(kernel.packet, tmp.packet, 0, 1);
+  PACK_OUTPUT_2(kernel.packet, tmp.packet, 1, 1);
+  PACK_OUTPUT_2(kernel.packet, tmp.packet, 2, 1);
+  PACK_OUTPUT_2(kernel.packet, tmp.packet, 3, 1);
+}
+
+#define PACK_OUTPUT_SQ_D(OUTPUT, INPUT, INDEX, STRIDE)                \
+  OUTPUT[INDEX] = _mm512_insertf64x4(OUTPUT[INDEX], INPUT[INDEX], 0); \
+  OUTPUT[INDEX] = _mm512_insertf64x4(OUTPUT[INDEX], INPUT[INDEX + STRIDE], 1);
+
+#define PACK_OUTPUT_D(OUTPUT, INPUT, INDEX, STRIDE)                         \
+  OUTPUT[INDEX] = _mm512_insertf64x4(OUTPUT[INDEX], INPUT[(2 * INDEX)], 0); \
+  OUTPUT[INDEX] =                                                           \
+      _mm512_insertf64x4(OUTPUT[INDEX], INPUT[(2 * INDEX) + STRIDE], 1);
+
+EIGEN_DEVICE_FUNC inline void ptranspose(PacketBlock<Packet8d, 4>& kernel) {
+  __m512d T0 = _mm512_shuffle_pd(kernel.packet[0], kernel.packet[1], 0);
+  __m512d T1 = _mm512_shuffle_pd(kernel.packet[0], kernel.packet[1], 0xff);
+  __m512d T2 = _mm512_shuffle_pd(kernel.packet[2], kernel.packet[3], 0);
+  __m512d T3 = _mm512_shuffle_pd(kernel.packet[2], kernel.packet[3], 0xff);
+
+  PacketBlock<Packet4d, 8> tmp;
+
+  tmp.packet[0] = _mm256_permute2f128_pd(_mm512_extractf64x4_pd(T0, 0),
+                                         _mm512_extractf64x4_pd(T2, 0), 0x20);
+  tmp.packet[1] = _mm256_permute2f128_pd(_mm512_extractf64x4_pd(T1, 0),
+                                         _mm512_extractf64x4_pd(T3, 0), 0x20);
+  tmp.packet[2] = _mm256_permute2f128_pd(_mm512_extractf64x4_pd(T0, 0),
+                                         _mm512_extractf64x4_pd(T2, 0), 0x31);
+  tmp.packet[3] = _mm256_permute2f128_pd(_mm512_extractf64x4_pd(T1, 0),
+                                         _mm512_extractf64x4_pd(T3, 0), 0x31);
+
+  tmp.packet[4] = _mm256_permute2f128_pd(_mm512_extractf64x4_pd(T0, 1),
+                                         _mm512_extractf64x4_pd(T2, 1), 0x20);
+  tmp.packet[5] = _mm256_permute2f128_pd(_mm512_extractf64x4_pd(T1, 1),
+                                         _mm512_extractf64x4_pd(T3, 1), 0x20);
+  tmp.packet[6] = _mm256_permute2f128_pd(_mm512_extractf64x4_pd(T0, 1),
+                                         _mm512_extractf64x4_pd(T2, 1), 0x31);
+  tmp.packet[7] = _mm256_permute2f128_pd(_mm512_extractf64x4_pd(T1, 1),
+                                         _mm512_extractf64x4_pd(T3, 1), 0x31);
+
+  PACK_OUTPUT_D(kernel.packet, tmp.packet, 0, 1);
+  PACK_OUTPUT_D(kernel.packet, tmp.packet, 1, 1);
+  PACK_OUTPUT_D(kernel.packet, tmp.packet, 2, 1);
+  PACK_OUTPUT_D(kernel.packet, tmp.packet, 3, 1);
+}
+
+EIGEN_DEVICE_FUNC inline void ptranspose(PacketBlock<Packet8d, 8>& kernel) {
+  __m512d T0 = _mm512_unpacklo_pd(kernel.packet[0], kernel.packet[1]);
+  __m512d T1 = _mm512_unpackhi_pd(kernel.packet[0], kernel.packet[1]);
+  __m512d T2 = _mm512_unpacklo_pd(kernel.packet[2], kernel.packet[3]);
+  __m512d T3 = _mm512_unpackhi_pd(kernel.packet[2], kernel.packet[3]);
+  __m512d T4 = _mm512_unpacklo_pd(kernel.packet[4], kernel.packet[5]);
+  __m512d T5 = _mm512_unpackhi_pd(kernel.packet[4], kernel.packet[5]);
+  __m512d T6 = _mm512_unpacklo_pd(kernel.packet[6], kernel.packet[7]);
+  __m512d T7 = _mm512_unpackhi_pd(kernel.packet[6], kernel.packet[7]);
+
+  PacketBlock<Packet4d, 16> tmp;
+
+  tmp.packet[0] = _mm256_permute2f128_pd(_mm512_extractf64x4_pd(T0, 0),
+                                         _mm512_extractf64x4_pd(T2, 0), 0x20);
+  tmp.packet[1] = _mm256_permute2f128_pd(_mm512_extractf64x4_pd(T1, 0),
+                                         _mm512_extractf64x4_pd(T3, 0), 0x20);
+  tmp.packet[2] = _mm256_permute2f128_pd(_mm512_extractf64x4_pd(T0, 0),
+                                         _mm512_extractf64x4_pd(T2, 0), 0x31);
+  tmp.packet[3] = _mm256_permute2f128_pd(_mm512_extractf64x4_pd(T1, 0),
+                                         _mm512_extractf64x4_pd(T3, 0), 0x31);
+
+  tmp.packet[4] = _mm256_permute2f128_pd(_mm512_extractf64x4_pd(T0, 1),
+                                         _mm512_extractf64x4_pd(T2, 1), 0x20);
+  tmp.packet[5] = _mm256_permute2f128_pd(_mm512_extractf64x4_pd(T1, 1),
+                                         _mm512_extractf64x4_pd(T3, 1), 0x20);
+  tmp.packet[6] = _mm256_permute2f128_pd(_mm512_extractf64x4_pd(T0, 1),
+                                         _mm512_extractf64x4_pd(T2, 1), 0x31);
+  tmp.packet[7] = _mm256_permute2f128_pd(_mm512_extractf64x4_pd(T1, 1),
+                                         _mm512_extractf64x4_pd(T3, 1), 0x31);
+
+  tmp.packet[8] = _mm256_permute2f128_pd(_mm512_extractf64x4_pd(T4, 0),
+                                         _mm512_extractf64x4_pd(T6, 0), 0x20);
+  tmp.packet[9] = _mm256_permute2f128_pd(_mm512_extractf64x4_pd(T5, 0),
+                                         _mm512_extractf64x4_pd(T7, 0), 0x20);
+  tmp.packet[10] = _mm256_permute2f128_pd(_mm512_extractf64x4_pd(T4, 0),
+                                          _mm512_extractf64x4_pd(T6, 0), 0x31);
+  tmp.packet[11] = _mm256_permute2f128_pd(_mm512_extractf64x4_pd(T5, 0),
+                                          _mm512_extractf64x4_pd(T7, 0), 0x31);
+
+  tmp.packet[12] = _mm256_permute2f128_pd(_mm512_extractf64x4_pd(T4, 1),
+                                          _mm512_extractf64x4_pd(T6, 1), 0x20);
+  tmp.packet[13] = _mm256_permute2f128_pd(_mm512_extractf64x4_pd(T5, 1),
+                                          _mm512_extractf64x4_pd(T7, 1), 0x20);
+  tmp.packet[14] = _mm256_permute2f128_pd(_mm512_extractf64x4_pd(T4, 1),
+                                          _mm512_extractf64x4_pd(T6, 1), 0x31);
+  tmp.packet[15] = _mm256_permute2f128_pd(_mm512_extractf64x4_pd(T5, 1),
+                                          _mm512_extractf64x4_pd(T7, 1), 0x31);
+
+  PACK_OUTPUT_SQ_D(kernel.packet, tmp.packet, 0, 8);
+  PACK_OUTPUT_SQ_D(kernel.packet, tmp.packet, 1, 8);
+  PACK_OUTPUT_SQ_D(kernel.packet, tmp.packet, 2, 8);
+  PACK_OUTPUT_SQ_D(kernel.packet, tmp.packet, 3, 8);
+
+  PACK_OUTPUT_SQ_D(kernel.packet, tmp.packet, 4, 8);
+  PACK_OUTPUT_SQ_D(kernel.packet, tmp.packet, 5, 8);
+  PACK_OUTPUT_SQ_D(kernel.packet, tmp.packet, 6, 8);
+  PACK_OUTPUT_SQ_D(kernel.packet, tmp.packet, 7, 8);
+}
+template <>
+EIGEN_STRONG_INLINE Packet16f pblend(const Selector<16>& /*ifPacket*/,
+                                     const Packet16f& /*thenPacket*/,
+                                     const Packet16f& /*elsePacket*/) {
+  assert(false && "To be implemented");
+  return Packet16f();
+}
+template <>
+EIGEN_STRONG_INLINE Packet8d pblend(const Selector<8>& ifPacket,
+                                    const Packet8d& thenPacket,
+                                    const Packet8d& elsePacket) {
+  __mmask8 m = (ifPacket.select[0]   )
+             | (ifPacket.select[1]<<1)
+             | (ifPacket.select[2]<<2)
+             | (ifPacket.select[3]<<3)
+             | (ifPacket.select[4]<<4)
+             | (ifPacket.select[5]<<5)
+             | (ifPacket.select[6]<<6)
+             | (ifPacket.select[7]<<7);
+  return _mm512_mask_blend_pd(m, elsePacket, thenPacket);
+}
+
+template<> EIGEN_STRONG_INLINE Packet16i pcast<Packet16f, Packet16i>(const Packet16f& a) {
+  return _mm512_cvttps_epi32(a);
+}
+
+template<> EIGEN_STRONG_INLINE Packet16f pcast<Packet16i, Packet16f>(const Packet16i& a) {
+  return _mm512_cvtepi32_ps(a);
+}
+
+template <int Offset>
+struct palign_impl<Offset, Packet16f> {
+  static EIGEN_STRONG_INLINE void run(Packet16f& first,
+                                      const Packet16f& second) {
+    if (Offset != 0) {
+      __m512i first_idx = _mm512_set_epi32(
+          Offset + 15, Offset + 14, Offset + 13, Offset + 12, Offset + 11,
+          Offset + 10, Offset + 9, Offset + 8, Offset + 7, Offset + 6,
+          Offset + 5, Offset + 4, Offset + 3, Offset + 2, Offset + 1, Offset);
+
+      __m512i second_idx =
+          _mm512_set_epi32(Offset - 1, Offset - 2, Offset - 3, Offset - 4,
+                           Offset - 5, Offset - 6, Offset - 7, Offset - 8,
+                           Offset - 9, Offset - 10, Offset - 11, Offset - 12,
+                           Offset - 13, Offset - 14, Offset - 15, Offset - 16);
+
+      unsigned short mask = 0xFFFF;
+      mask <<= (16 - Offset);
+
+      first = _mm512_permutexvar_ps(first_idx, first);
+      Packet16f tmp = _mm512_permutexvar_ps(second_idx, second);
+      first = _mm512_mask_blend_ps(mask, first, tmp);
+    }
+  }
+};
+template <int Offset>
+struct palign_impl<Offset, Packet8d> {
+  static EIGEN_STRONG_INLINE void run(Packet8d& first, const Packet8d& second) {
+    if (Offset != 0) {
+      __m512i first_idx = _mm512_set_epi32(
+          0, Offset + 7, 0, Offset + 6, 0, Offset + 5, 0, Offset + 4, 0,
+          Offset + 3, 0, Offset + 2, 0, Offset + 1, 0, Offset);
+
+      __m512i second_idx = _mm512_set_epi32(
+          0, Offset - 1, 0, Offset - 2, 0, Offset - 3, 0, Offset - 4, 0,
+          Offset - 5, 0, Offset - 6, 0, Offset - 7, 0, Offset - 8);
+
+      unsigned char mask = 0xFF;
+      mask <<= (8 - Offset);
+
+      first = _mm512_permutexvar_pd(first_idx, first);
+      Packet8d tmp = _mm512_permutexvar_pd(second_idx, second);
+      first = _mm512_mask_blend_pd(mask, first, tmp);
+    }
+  }
+};
+
+
+} // end namespace internal
+
+} // end namespace Eigen
+
+#endif // EIGEN_PACKET_MATH_AVX512_H
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/arch/AVX512/MathFunctions.h
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/arch/AVX512/MathFunctions.h	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/arch/AVX512/MathFunctions.h	(revision 3761)
@@ -0,0 +1,389 @@
+// This file is part of Eigen, a lightweight C++ template library
+// for linear algebra.
+//
+// Copyright (C) 2016 Pedro Gonnet (pedro.gonnet@gmail.com)
+//
+// This Source Code Form is subject to the terms of the Mozilla
+// Public License v. 2.0. If a copy of the MPL was not distributed
+// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
+
+#ifndef THIRD_PARTY_EIGEN3_EIGEN_SRC_CORE_ARCH_AVX512_MATHFUNCTIONS_H_
+#define THIRD_PARTY_EIGEN3_EIGEN_SRC_CORE_ARCH_AVX512_MATHFUNCTIONS_H_
+
+namespace Eigen {
+
+namespace internal {
+
+// Disable the code for older versions of gcc that don't support many of the required avx512 instrinsics.
+#if EIGEN_GNUC_AT_LEAST(5, 3)
+
+#define _EIGEN_DECLARE_CONST_Packet16f(NAME, X) \
+  const Packet16f p16f_##NAME = pset1<Packet16f>(X)
+
+#define _EIGEN_DECLARE_CONST_Packet16f_FROM_INT(NAME, X) \
+  const Packet16f p16f_##NAME = (__m512)pset1<Packet16i>(X)
+
+#define _EIGEN_DECLARE_CONST_Packet8d(NAME, X) \
+  const Packet8d p8d_##NAME = pset1<Packet8d>(X)
+
+#define _EIGEN_DECLARE_CONST_Packet8d_FROM_INT64(NAME, X) \
+  const Packet8d p8d_##NAME = _mm512_castsi512_pd(_mm512_set1_epi64(X))
+
+
+// Natural logarithm
+// Computes log(x) as log(2^e * m) = C*e + log(m), where the constant C =log(2)
+// and m is in the range [sqrt(1/2),sqrt(2)). In this range, the logarithm can
+// be easily approximated by a polynomial centered on m=1 for stability.
+#if defined(EIGEN_VECTORIZE_AVX512DQ)
+template <>
+EIGEN_DEFINE_FUNCTION_ALLOWING_MULTIPLE_DEFINITIONS EIGEN_UNUSED Packet16f
+plog<Packet16f>(const Packet16f& _x) {
+  Packet16f x = _x;
+  _EIGEN_DECLARE_CONST_Packet16f(1, 1.0f);
+  _EIGEN_DECLARE_CONST_Packet16f(half, 0.5f);
+  _EIGEN_DECLARE_CONST_Packet16f(126f, 126.0f);
+
+  _EIGEN_DECLARE_CONST_Packet16f_FROM_INT(inv_mant_mask, ~0x7f800000);
+
+  // The smallest non denormalized float number.
+  _EIGEN_DECLARE_CONST_Packet16f_FROM_INT(min_norm_pos, 0x00800000);
+  _EIGEN_DECLARE_CONST_Packet16f_FROM_INT(minus_inf, 0xff800000);
+  _EIGEN_DECLARE_CONST_Packet16f_FROM_INT(pos_inf, 0x7f800000);
+  _EIGEN_DECLARE_CONST_Packet16f_FROM_INT(nan, 0x7fc00000);
+
+  // Polynomial coefficients.
+  _EIGEN_DECLARE_CONST_Packet16f(cephes_SQRTHF, 0.707106781186547524f);
+  _EIGEN_DECLARE_CONST_Packet16f(cephes_log_p0, 7.0376836292E-2f);
+  _EIGEN_DECLARE_CONST_Packet16f(cephes_log_p1, -1.1514610310E-1f);
+  _EIGEN_DECLARE_CONST_Packet16f(cephes_log_p2, 1.1676998740E-1f);
+  _EIGEN_DECLARE_CONST_Packet16f(cephes_log_p3, -1.2420140846E-1f);
+  _EIGEN_DECLARE_CONST_Packet16f(cephes_log_p4, +1.4249322787E-1f);
+  _EIGEN_DECLARE_CONST_Packet16f(cephes_log_p5, -1.6668057665E-1f);
+  _EIGEN_DECLARE_CONST_Packet16f(cephes_log_p6, +2.0000714765E-1f);
+  _EIGEN_DECLARE_CONST_Packet16f(cephes_log_p7, -2.4999993993E-1f);
+  _EIGEN_DECLARE_CONST_Packet16f(cephes_log_p8, +3.3333331174E-1f);
+  _EIGEN_DECLARE_CONST_Packet16f(cephes_log_q1, -2.12194440e-4f);
+  _EIGEN_DECLARE_CONST_Packet16f(cephes_log_q2, 0.693359375f);
+
+  // invalid_mask is set to true when x is NaN
+  __mmask16 invalid_mask =  _mm512_cmp_ps_mask(x, _mm512_setzero_ps(), _CMP_NGE_UQ);
+  __mmask16 iszero_mask  =  _mm512_cmp_ps_mask(x, _mm512_setzero_ps(), _CMP_EQ_OQ);
+      
+  // Truncate input values to the minimum positive normal.
+  x = pmax(x, p16f_min_norm_pos);
+
+  // Extract the shifted exponents.
+  Packet16f emm0 = _mm512_cvtepi32_ps(_mm512_srli_epi32((__m512i)x, 23));
+  Packet16f e = _mm512_sub_ps(emm0, p16f_126f);
+
+  // Set the exponents to -1, i.e. x are in the range [0.5,1).
+  x = _mm512_and_ps(x, p16f_inv_mant_mask);
+  x = _mm512_or_ps(x, p16f_half);
+
+  // part2: Shift the inputs from the range [0.5,1) to [sqrt(1/2),sqrt(2))
+  // and shift by -1. The values are then centered around 0, which improves
+  // the stability of the polynomial evaluation.
+  //   if( x < SQRTHF ) {
+  //     e -= 1;
+  //     x = x + x - 1.0;
+  //   } else { x = x - 1.0; }
+  __mmask16 mask = _mm512_cmp_ps_mask(x, p16f_cephes_SQRTHF, _CMP_LT_OQ);
+  Packet16f tmp = _mm512_mask_blend_ps(mask, _mm512_setzero_ps(), x);
+  x = psub(x, p16f_1);
+  e = psub(e, _mm512_mask_blend_ps(mask, _mm512_setzero_ps(), p16f_1));
+  x = padd(x, tmp);
+
+  Packet16f x2 = pmul(x, x);
+  Packet16f x3 = pmul(x2, x);
+
+  // Evaluate the polynomial approximant of degree 8 in three parts, probably
+  // to improve instruction-level parallelism.
+  Packet16f y, y1, y2;
+  y = pmadd(p16f_cephes_log_p0, x, p16f_cephes_log_p1);
+  y1 = pmadd(p16f_cephes_log_p3, x, p16f_cephes_log_p4);
+  y2 = pmadd(p16f_cephes_log_p6, x, p16f_cephes_log_p7);
+  y = pmadd(y, x, p16f_cephes_log_p2);
+  y1 = pmadd(y1, x, p16f_cephes_log_p5);
+  y2 = pmadd(y2, x, p16f_cephes_log_p8);
+  y = pmadd(y, x3, y1);
+  y = pmadd(y, x3, y2);
+  y = pmul(y, x3);
+
+  // Add the logarithm of the exponent back to the result of the interpolation.
+  y1 = pmul(e, p16f_cephes_log_q1);
+  tmp = pmul(x2, p16f_half);
+  y = padd(y, y1);
+  x = psub(x, tmp);
+  y2 = pmul(e, p16f_cephes_log_q2);
+  x = padd(x, y);
+  x = padd(x, y2);
+
+  __mmask16 pos_inf_mask = _mm512_cmp_ps_mask(_x,p16f_pos_inf,_CMP_EQ_OQ);
+  // Filter out invalid inputs, i.e.:
+  //  - negative arg will be NAN,
+  //  - 0 will be -INF.
+  //  - +INF will be +INF
+  return _mm512_mask_blend_ps(iszero_mask,
+            _mm512_mask_blend_ps(invalid_mask,
+              _mm512_mask_blend_ps(pos_inf_mask,x,p16f_pos_inf),
+              p16f_nan),
+            p16f_minus_inf);
+}
+
+#endif
+
+// Exponential function. Works by writing "x = m*log(2) + r" where
+// "m = floor(x/log(2)+1/2)" and "r" is the remainder. The result is then
+// "exp(x) = 2^m*exp(r)" where exp(r) is in the range [-1,1).
+template <>
+EIGEN_DEFINE_FUNCTION_ALLOWING_MULTIPLE_DEFINITIONS EIGEN_UNUSED Packet16f
+pexp<Packet16f>(const Packet16f& _x) {
+  _EIGEN_DECLARE_CONST_Packet16f(1, 1.0f);
+  _EIGEN_DECLARE_CONST_Packet16f(half, 0.5f);
+  _EIGEN_DECLARE_CONST_Packet16f(127, 127.0f);
+
+  _EIGEN_DECLARE_CONST_Packet16f(exp_hi, 88.3762626647950f);
+  _EIGEN_DECLARE_CONST_Packet16f(exp_lo, -88.3762626647949f);
+
+  _EIGEN_DECLARE_CONST_Packet16f(cephes_LOG2EF, 1.44269504088896341f);
+
+  _EIGEN_DECLARE_CONST_Packet16f(cephes_exp_p0, 1.9875691500E-4f);
+  _EIGEN_DECLARE_CONST_Packet16f(cephes_exp_p1, 1.3981999507E-3f);
+  _EIGEN_DECLARE_CONST_Packet16f(cephes_exp_p2, 8.3334519073E-3f);
+  _EIGEN_DECLARE_CONST_Packet16f(cephes_exp_p3, 4.1665795894E-2f);
+  _EIGEN_DECLARE_CONST_Packet16f(cephes_exp_p4, 1.6666665459E-1f);
+  _EIGEN_DECLARE_CONST_Packet16f(cephes_exp_p5, 5.0000001201E-1f);
+
+  // Clamp x.
+  Packet16f x = pmax(pmin(_x, p16f_exp_hi), p16f_exp_lo);
+
+  // Express exp(x) as exp(m*ln(2) + r), start by extracting
+  // m = floor(x/ln(2) + 0.5).
+  Packet16f m = _mm512_floor_ps(pmadd(x, p16f_cephes_LOG2EF, p16f_half));
+
+  // Get r = x - m*ln(2). Note that we can do this without losing more than one
+  // ulp precision due to the FMA instruction.
+  _EIGEN_DECLARE_CONST_Packet16f(nln2, -0.6931471805599453f);
+  Packet16f r = _mm512_fmadd_ps(m, p16f_nln2, x);
+  Packet16f r2 = pmul(r, r);
+
+  // TODO(gonnet): Split into odd/even polynomials and try to exploit
+  //               instruction-level parallelism.
+  Packet16f y = p16f_cephes_exp_p0;
+  y = pmadd(y, r, p16f_cephes_exp_p1);
+  y = pmadd(y, r, p16f_cephes_exp_p2);
+  y = pmadd(y, r, p16f_cephes_exp_p3);
+  y = pmadd(y, r, p16f_cephes_exp_p4);
+  y = pmadd(y, r, p16f_cephes_exp_p5);
+  y = pmadd(y, r2, r);
+  y = padd(y, p16f_1);
+
+  // Build emm0 = 2^m.
+  Packet16i emm0 = _mm512_cvttps_epi32(padd(m, p16f_127));
+  emm0 = _mm512_slli_epi32(emm0, 23);
+
+  // Return 2^m * exp(r).
+  return pmax(pmul(y, _mm512_castsi512_ps(emm0)), _x);
+}
+
+/*template <>
+EIGEN_DEFINE_FUNCTION_ALLOWING_MULTIPLE_DEFINITIONS EIGEN_UNUSED Packet8d
+pexp<Packet8d>(const Packet8d& _x) {
+  Packet8d x = _x;
+
+  _EIGEN_DECLARE_CONST_Packet8d(1, 1.0);
+  _EIGEN_DECLARE_CONST_Packet8d(2, 2.0);
+
+  _EIGEN_DECLARE_CONST_Packet8d(exp_hi, 709.437);
+  _EIGEN_DECLARE_CONST_Packet8d(exp_lo, -709.436139303);
+
+  _EIGEN_DECLARE_CONST_Packet8d(cephes_LOG2EF, 1.4426950408889634073599);
+
+  _EIGEN_DECLARE_CONST_Packet8d(cephes_exp_p0, 1.26177193074810590878e-4);
+  _EIGEN_DECLARE_CONST_Packet8d(cephes_exp_p1, 3.02994407707441961300e-2);
+  _EIGEN_DECLARE_CONST_Packet8d(cephes_exp_p2, 9.99999999999999999910e-1);
+
+  _EIGEN_DECLARE_CONST_Packet8d(cephes_exp_q0, 3.00198505138664455042e-6);
+  _EIGEN_DECLARE_CONST_Packet8d(cephes_exp_q1, 2.52448340349684104192e-3);
+  _EIGEN_DECLARE_CONST_Packet8d(cephes_exp_q2, 2.27265548208155028766e-1);
+  _EIGEN_DECLARE_CONST_Packet8d(cephes_exp_q3, 2.00000000000000000009e0);
+
+  _EIGEN_DECLARE_CONST_Packet8d(cephes_exp_C1, 0.693145751953125);
+  _EIGEN_DECLARE_CONST_Packet8d(cephes_exp_C2, 1.42860682030941723212e-6);
+
+  // clamp x
+  x = pmax(pmin(x, p8d_exp_hi), p8d_exp_lo);
+
+  // Express exp(x) as exp(g + n*log(2)).
+  const Packet8d n =
+      _mm512_mul_round_pd(p8d_cephes_LOG2EF, x, _MM_FROUND_TO_NEAREST_INT);
+
+  // Get the remainder modulo log(2), i.e. the "g" described above. Subtract
+  // n*log(2) out in two steps, i.e. n*C1 + n*C2, C1+C2=log2 to get the last
+  // digits right.
+  const Packet8d nC1 = pmul(n, p8d_cephes_exp_C1);
+  const Packet8d nC2 = pmul(n, p8d_cephes_exp_C2);
+  x = psub(x, nC1);
+  x = psub(x, nC2);
+
+  const Packet8d x2 = pmul(x, x);
+
+  // Evaluate the numerator polynomial of the rational interpolant.
+  Packet8d px = p8d_cephes_exp_p0;
+  px = pmadd(px, x2, p8d_cephes_exp_p1);
+  px = pmadd(px, x2, p8d_cephes_exp_p2);
+  px = pmul(px, x);
+
+  // Evaluate the denominator polynomial of the rational interpolant.
+  Packet8d qx = p8d_cephes_exp_q0;
+  qx = pmadd(qx, x2, p8d_cephes_exp_q1);
+  qx = pmadd(qx, x2, p8d_cephes_exp_q2);
+  qx = pmadd(qx, x2, p8d_cephes_exp_q3);
+
+  // I don't really get this bit, copied from the SSE2 routines, so...
+  // TODO(gonnet): Figure out what is going on here, perhaps find a better
+  // rational interpolant?
+  x = _mm512_div_pd(px, psub(qx, px));
+  x = pmadd(p8d_2, x, p8d_1);
+
+  // Build e=2^n.
+  const Packet8d e = _mm512_castsi512_pd(_mm512_slli_epi64(
+      _mm512_add_epi64(_mm512_cvtpd_epi64(n), _mm512_set1_epi64(1023)), 52));
+
+  // Construct the result 2^n * exp(g) = e * x. The max is used to catch
+  // non-finite values in the input.
+  return pmax(pmul(x, e), _x);
+  }*/
+
+// Functions for sqrt.
+// The EIGEN_FAST_MATH version uses the _mm_rsqrt_ps approximation and one step
+// of Newton's method, at a cost of 1-2 bits of precision as opposed to the
+// exact solution. The main advantage of this approach is not just speed, but
+// also the fact that it can be inlined and pipelined with other computations,
+// further reducing its effective latency.
+#if EIGEN_FAST_MATH
+template <>
+EIGEN_DEFINE_FUNCTION_ALLOWING_MULTIPLE_DEFINITIONS EIGEN_UNUSED Packet16f
+psqrt<Packet16f>(const Packet16f& _x) {
+  Packet16f neg_half = pmul(_x, pset1<Packet16f>(-.5f));
+  __mmask16 denormal_mask = _mm512_kand(
+      _mm512_cmp_ps_mask(_x, pset1<Packet16f>((std::numeric_limits<float>::min)()),
+                        _CMP_LT_OQ),
+      _mm512_cmp_ps_mask(_x, _mm512_setzero_ps(), _CMP_GE_OQ));
+
+  Packet16f x = _mm512_rsqrt14_ps(_x);
+
+  // Do a single step of Newton's iteration.
+  x = pmul(x, pmadd(neg_half, pmul(x, x), pset1<Packet16f>(1.5f)));
+
+  // Flush results for denormals to zero.
+  return _mm512_mask_blend_ps(denormal_mask, pmul(_x,x), _mm512_setzero_ps());
+}
+
+template <>
+EIGEN_DEFINE_FUNCTION_ALLOWING_MULTIPLE_DEFINITIONS EIGEN_UNUSED Packet8d
+psqrt<Packet8d>(const Packet8d& _x) {
+  Packet8d neg_half = pmul(_x, pset1<Packet8d>(-.5));
+  __mmask16 denormal_mask = _mm512_kand(
+      _mm512_cmp_pd_mask(_x, pset1<Packet8d>((std::numeric_limits<double>::min)()),
+                        _CMP_LT_OQ),
+      _mm512_cmp_pd_mask(_x, _mm512_setzero_pd(), _CMP_GE_OQ));
+
+  Packet8d x = _mm512_rsqrt14_pd(_x);
+
+  // Do a single step of Newton's iteration.
+  x = pmul(x, pmadd(neg_half, pmul(x, x), pset1<Packet8d>(1.5)));
+
+  // Do a second step of Newton's iteration.
+  x = pmul(x, pmadd(neg_half, pmul(x, x), pset1<Packet8d>(1.5)));
+
+  return _mm512_mask_blend_pd(denormal_mask, pmul(_x,x), _mm512_setzero_pd());
+}
+#else
+template <>
+EIGEN_STRONG_INLINE Packet16f psqrt<Packet16f>(const Packet16f& x) {
+  return _mm512_sqrt_ps(x);
+}
+template <>
+EIGEN_STRONG_INLINE Packet8d psqrt<Packet8d>(const Packet8d& x) {
+  return _mm512_sqrt_pd(x);
+}
+#endif
+
+// Functions for rsqrt.
+// Almost identical to the sqrt routine, just leave out the last multiplication
+// and fill in NaN/Inf where needed. Note that this function only exists as an
+// iterative version for doubles since there is no instruction for diretly
+// computing the reciprocal square root in AVX-512.
+#ifdef EIGEN_FAST_MATH
+template <>
+EIGEN_DEFINE_FUNCTION_ALLOWING_MULTIPLE_DEFINITIONS EIGEN_UNUSED Packet16f
+prsqrt<Packet16f>(const Packet16f& _x) {
+  _EIGEN_DECLARE_CONST_Packet16f_FROM_INT(inf, 0x7f800000);
+  _EIGEN_DECLARE_CONST_Packet16f_FROM_INT(nan, 0x7fc00000);
+  _EIGEN_DECLARE_CONST_Packet16f(one_point_five, 1.5f);
+  _EIGEN_DECLARE_CONST_Packet16f(minus_half, -0.5f);
+  _EIGEN_DECLARE_CONST_Packet16f_FROM_INT(flt_min, 0x00800000);
+
+  Packet16f neg_half = pmul(_x, p16f_minus_half);
+
+  // select only the inverse sqrt of positive normal inputs (denormals are
+  // flushed to zero and cause infs as well).
+  __mmask16 le_zero_mask = _mm512_cmp_ps_mask(_x, p16f_flt_min, _CMP_LT_OQ);
+  Packet16f x = _mm512_mask_blend_ps(le_zero_mask, _mm512_rsqrt14_ps(_x), _mm512_setzero_ps());
+
+  // Fill in NaNs and Infs for the negative/zero entries.
+  __mmask16 neg_mask = _mm512_cmp_ps_mask(_x, _mm512_setzero_ps(), _CMP_LT_OQ);
+  Packet16f infs_and_nans = _mm512_mask_blend_ps(
+      neg_mask, _mm512_mask_blend_ps(le_zero_mask, _mm512_setzero_ps(), p16f_inf), p16f_nan);
+
+  // Do a single step of Newton's iteration.
+  x = pmul(x, pmadd(neg_half, pmul(x, x), p16f_one_point_five));
+
+  // Insert NaNs and Infs in all the right places.
+  return _mm512_mask_blend_ps(le_zero_mask, x, infs_and_nans);
+}
+
+template <>
+EIGEN_DEFINE_FUNCTION_ALLOWING_MULTIPLE_DEFINITIONS EIGEN_UNUSED Packet8d
+prsqrt<Packet8d>(const Packet8d& _x) {
+  _EIGEN_DECLARE_CONST_Packet8d_FROM_INT64(inf, 0x7ff0000000000000LL);
+  _EIGEN_DECLARE_CONST_Packet8d_FROM_INT64(nan, 0x7ff1000000000000LL);
+  _EIGEN_DECLARE_CONST_Packet8d(one_point_five, 1.5);
+  _EIGEN_DECLARE_CONST_Packet8d(minus_half, -0.5);
+  _EIGEN_DECLARE_CONST_Packet8d_FROM_INT64(dbl_min, 0x0010000000000000LL);
+
+  Packet8d neg_half = pmul(_x, p8d_minus_half);
+
+  // select only the inverse sqrt of positive normal inputs (denormals are
+  // flushed to zero and cause infs as well).
+  __mmask8 le_zero_mask = _mm512_cmp_pd_mask(_x, p8d_dbl_min, _CMP_LT_OQ);
+  Packet8d x = _mm512_mask_blend_pd(le_zero_mask, _mm512_rsqrt14_pd(_x), _mm512_setzero_pd());
+
+  // Fill in NaNs and Infs for the negative/zero entries.
+  __mmask8 neg_mask = _mm512_cmp_pd_mask(_x, _mm512_setzero_pd(), _CMP_LT_OQ);
+  Packet8d infs_and_nans = _mm512_mask_blend_pd(
+      neg_mask, _mm512_mask_blend_pd(le_zero_mask, _mm512_setzero_pd(), p8d_inf), p8d_nan);
+
+  // Do a first step of Newton's iteration.
+  x = pmul(x, pmadd(neg_half, pmul(x, x), p8d_one_point_five));
+
+  // Do a second step of Newton's iteration.
+  x = pmul(x, pmadd(neg_half, pmul(x, x), p8d_one_point_five));
+
+  // Insert NaNs and Infs in all the right places.
+  return _mm512_mask_blend_pd(le_zero_mask, x, infs_and_nans);
+}
+#elif defined(EIGEN_VECTORIZE_AVX512ER)
+template <>
+EIGEN_STRONG_INLINE Packet16f prsqrt<Packet16f>(const Packet16f& x) {
+  return _mm512_rsqrt28_ps(x);
+}
+#endif
+#endif
+
+}  // end namespace internal
+
+}  // end namespace Eigen
+
+#endif  // THIRD_PARTY_EIGEN3_EIGEN_SRC_CORE_ARCH_AVX512_MATHFUNCTIONS_H_
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/arch/AltiVec/PacketMath.h
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/arch/AltiVec/PacketMath.h	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/arch/AltiVec/PacketMath.h	(revision 3761)
@@ -0,0 +1,1061 @@
+// This file is part of Eigen, a lightweight C++ template library
+// for linear algebra.
+//
+// Copyright (C) 2008-2016 Konstantinos Margaritis <markos@freevec.org>
+//
+// This Source Code Form is subject to the terms of the Mozilla
+// Public License v. 2.0. If a copy of the MPL was not distributed
+// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
+
+#ifndef EIGEN_PACKET_MATH_ALTIVEC_H
+#define EIGEN_PACKET_MATH_ALTIVEC_H
+
+namespace Eigen {
+
+namespace internal {
+
+#ifndef EIGEN_CACHEFRIENDLY_PRODUCT_THRESHOLD
+#define EIGEN_CACHEFRIENDLY_PRODUCT_THRESHOLD 4
+#endif
+
+#ifndef EIGEN_HAS_SINGLE_INSTRUCTION_MADD
+#define EIGEN_HAS_SINGLE_INSTRUCTION_MADD
+#endif
+
+#ifndef EIGEN_HAS_SINGLE_INSTRUCTION_CJMADD
+#define EIGEN_HAS_SINGLE_INSTRUCTION_CJMADD
+#endif
+
+// NOTE Altivec has 32 registers, but Eigen only accepts a value of 8 or 16
+#ifndef EIGEN_ARCH_DEFAULT_NUMBER_OF_REGISTERS
+#define EIGEN_ARCH_DEFAULT_NUMBER_OF_REGISTERS  32
+#endif
+
+typedef __vector float          Packet4f;
+typedef __vector int            Packet4i;
+typedef __vector unsigned int   Packet4ui;
+typedef __vector __bool int     Packet4bi;
+typedef __vector short int      Packet8i;
+typedef __vector unsigned char  Packet16uc;
+
+// We don't want to write the same code all the time, but we need to reuse the constants
+// and it doesn't really work to declare them global, so we define macros instead
+
+#define _EIGEN_DECLARE_CONST_FAST_Packet4f(NAME,X) \
+  Packet4f p4f_##NAME = reinterpret_cast<Packet4f>(vec_splat_s32(X))
+
+#define _EIGEN_DECLARE_CONST_FAST_Packet4i(NAME,X) \
+  Packet4i p4i_##NAME = vec_splat_s32(X)
+
+#define _EIGEN_DECLARE_CONST_Packet4f(NAME,X) \
+  Packet4f p4f_##NAME = pset1<Packet4f>(X)
+
+#define _EIGEN_DECLARE_CONST_Packet4i(NAME,X) \
+  Packet4i p4i_##NAME = pset1<Packet4i>(X)
+
+#define _EIGEN_DECLARE_CONST_Packet2d(NAME,X) \
+  Packet2d p2d_##NAME = pset1<Packet2d>(X)
+
+#define _EIGEN_DECLARE_CONST_Packet2l(NAME,X) \
+  Packet2l p2l_##NAME = pset1<Packet2l>(X)
+
+#define _EIGEN_DECLARE_CONST_Packet4f_FROM_INT(NAME,X) \
+  const Packet4f p4f_##NAME = reinterpret_cast<Packet4f>(pset1<Packet4i>(X))
+
+#define DST_CHAN 1
+#define DST_CTRL(size, count, stride) (((size) << 24) | ((count) << 16) | (stride))
+
+
+// These constants are endian-agnostic
+static _EIGEN_DECLARE_CONST_FAST_Packet4f(ZERO, 0); //{ 0.0, 0.0, 0.0, 0.0}
+static _EIGEN_DECLARE_CONST_FAST_Packet4i(ZERO, 0); //{ 0, 0, 0, 0,}
+static _EIGEN_DECLARE_CONST_FAST_Packet4i(ONE,1); //{ 1, 1, 1, 1}
+static _EIGEN_DECLARE_CONST_FAST_Packet4i(MINUS16,-16); //{ -16, -16, -16, -16}
+static _EIGEN_DECLARE_CONST_FAST_Packet4i(MINUS1,-1); //{ -1, -1, -1, -1}
+static Packet4f p4f_MZERO = (Packet4f) vec_sl((Packet4ui)p4i_MINUS1, (Packet4ui)p4i_MINUS1); //{ 0x80000000, 0x80000000, 0x80000000, 0x80000000}
+#ifndef __VSX__
+static Packet4f p4f_ONE = vec_ctf(p4i_ONE, 0); //{ 1.0, 1.0, 1.0, 1.0}
+#endif
+
+static Packet4f p4f_COUNTDOWN = { 0.0, 1.0, 2.0, 3.0 };
+static Packet4i p4i_COUNTDOWN = { 0, 1, 2, 3 };
+
+static Packet16uc p16uc_REVERSE32 = { 12,13,14,15, 8,9,10,11, 4,5,6,7, 0,1,2,3 };
+static Packet16uc p16uc_DUPLICATE32_HI = { 0,1,2,3, 0,1,2,3, 4,5,6,7, 4,5,6,7 };
+
+// Mask alignment
+#ifdef __PPC64__
+#define _EIGEN_MASK_ALIGNMENT	0xfffffffffffffff0
+#else
+#define _EIGEN_MASK_ALIGNMENT	0xfffffff0
+#endif
+
+#define _EIGEN_ALIGNED_PTR(x)	((std::ptrdiff_t)(x) & _EIGEN_MASK_ALIGNMENT)
+
+// Handle endianness properly while loading constants
+// Define global static constants:
+#ifdef _BIG_ENDIAN
+static Packet16uc p16uc_FORWARD = vec_lvsl(0, (float*)0);
+#ifdef __VSX__
+static Packet16uc p16uc_REVERSE64 = { 8,9,10,11, 12,13,14,15, 0,1,2,3, 4,5,6,7 };
+#endif
+static Packet16uc p16uc_PSET32_WODD   = vec_sld((Packet16uc) vec_splat((Packet4ui)p16uc_FORWARD, 0), (Packet16uc) vec_splat((Packet4ui)p16uc_FORWARD, 2), 8);//{ 0,1,2,3, 0,1,2,3, 8,9,10,11, 8,9,10,11 };
+static Packet16uc p16uc_PSET32_WEVEN  = vec_sld(p16uc_DUPLICATE32_HI, (Packet16uc) vec_splat((Packet4ui)p16uc_FORWARD, 3), 8);//{ 4,5,6,7, 4,5,6,7, 12,13,14,15, 12,13,14,15 };
+static Packet16uc p16uc_HALF64_0_16 = vec_sld((Packet16uc)p4i_ZERO, vec_splat((Packet16uc) vec_abs(p4i_MINUS16), 3), 8);      //{ 0,0,0,0, 0,0,0,0, 16,16,16,16, 16,16,16,16};
+#else
+static Packet16uc p16uc_FORWARD = p16uc_REVERSE32;
+static Packet16uc p16uc_REVERSE64 = { 8,9,10,11, 12,13,14,15, 0,1,2,3, 4,5,6,7 };
+static Packet16uc p16uc_PSET32_WODD = vec_sld((Packet16uc) vec_splat((Packet4ui)p16uc_FORWARD, 1), (Packet16uc) vec_splat((Packet4ui)p16uc_FORWARD, 3), 8);//{ 0,1,2,3, 0,1,2,3, 8,9,10,11, 8,9,10,11 };
+static Packet16uc p16uc_PSET32_WEVEN = vec_sld((Packet16uc) vec_splat((Packet4ui)p16uc_FORWARD, 0), (Packet16uc) vec_splat((Packet4ui)p16uc_FORWARD, 2), 8);//{ 4,5,6,7, 4,5,6,7, 12,13,14,15, 12,13,14,15 };
+static Packet16uc p16uc_HALF64_0_16 = vec_sld(vec_splat((Packet16uc) vec_abs(p4i_MINUS16), 0), (Packet16uc)p4i_ZERO, 8);      //{ 0,0,0,0, 0,0,0,0, 16,16,16,16, 16,16,16,16};
+#endif // _BIG_ENDIAN
+
+static Packet16uc p16uc_PSET64_HI = (Packet16uc) vec_mergeh((Packet4ui)p16uc_PSET32_WODD, (Packet4ui)p16uc_PSET32_WEVEN);     //{ 0,1,2,3, 4,5,6,7, 0,1,2,3, 4,5,6,7 };
+static Packet16uc p16uc_PSET64_LO = (Packet16uc) vec_mergel((Packet4ui)p16uc_PSET32_WODD, (Packet4ui)p16uc_PSET32_WEVEN);     //{ 8,9,10,11, 12,13,14,15, 8,9,10,11, 12,13,14,15 };
+static Packet16uc p16uc_TRANSPOSE64_HI = p16uc_PSET64_HI + p16uc_HALF64_0_16;                                         //{ 0,1,2,3, 4,5,6,7, 16,17,18,19, 20,21,22,23};
+static Packet16uc p16uc_TRANSPOSE64_LO = p16uc_PSET64_LO + p16uc_HALF64_0_16;                                         //{ 8,9,10,11, 12,13,14,15, 24,25,26,27, 28,29,30,31};
+
+static Packet16uc p16uc_COMPLEX32_REV = vec_sld(p16uc_REVERSE32, p16uc_REVERSE32, 8);                                         //{ 4,5,6,7, 0,1,2,3, 12,13,14,15, 8,9,10,11 };
+
+#ifdef _BIG_ENDIAN
+static Packet16uc p16uc_COMPLEX32_REV2 = vec_sld(p16uc_FORWARD, p16uc_FORWARD, 8);                                            //{ 8,9,10,11, 12,13,14,15, 0,1,2,3, 4,5,6,7 };
+#else
+static Packet16uc p16uc_COMPLEX32_REV2 = vec_sld(p16uc_PSET64_HI, p16uc_PSET64_LO, 8);                                            //{ 8,9,10,11, 12,13,14,15, 0,1,2,3, 4,5,6,7 };
+#endif // _BIG_ENDIAN
+
+#if EIGEN_HAS_BUILTIN(__builtin_prefetch) || EIGEN_COMP_GNUC
+  #define EIGEN_PPC_PREFETCH(ADDR) __builtin_prefetch(ADDR);
+#else
+  #define EIGEN_PPC_PREFETCH(ADDR) asm( "   dcbt [%[addr]]\n" :: [addr] "r" (ADDR) : "cc" );
+#endif
+
+template<> struct packet_traits<float>  : default_packet_traits
+{
+  typedef Packet4f type;
+  typedef Packet4f half;
+  enum {
+    Vectorizable = 1,
+    AlignedOnScalar = 1,
+    size=4,
+    HasHalfPacket = 1,
+
+    HasAdd  = 1,
+    HasSub  = 1,
+    HasMul  = 1,
+    HasDiv  = 1,
+    HasMin  = 1,
+    HasMax  = 1,
+    HasAbs  = 1,
+    HasSin  = 0,
+    HasCos  = 0,
+    HasLog  = 0,
+    HasExp  = 1,
+#ifdef __VSX__
+    HasSqrt = 1,
+#if !EIGEN_COMP_CLANG
+    HasRsqrt = 1,
+#else
+    HasRsqrt = 0,
+#endif
+#else
+    HasSqrt = 0,
+    HasRsqrt = 0,
+#endif
+    HasRound = 1,
+    HasFloor = 1,
+    HasCeil = 1,
+    HasNegate = 1,
+    HasBlend = 1
+  };
+};
+template<> struct packet_traits<int>    : default_packet_traits
+{
+  typedef Packet4i type;
+  typedef Packet4i half;
+  enum {
+    Vectorizable = 1,
+    AlignedOnScalar = 1,
+    size = 4,
+    HasHalfPacket = 0,
+
+    HasAdd  = 1,
+    HasSub  = 1,
+    HasMul  = 1,
+    HasDiv  = 0,
+    HasBlend = 1
+  };
+};
+
+
+template<> struct unpacket_traits<Packet4f> { typedef float  type; enum {size=4, alignment=Aligned16}; typedef Packet4f half; };
+template<> struct unpacket_traits<Packet4i> { typedef int    type; enum {size=4, alignment=Aligned16}; typedef Packet4i half; };
+
+inline std::ostream & operator <<(std::ostream & s, const Packet16uc & v)
+{
+  union {
+    Packet16uc   v;
+    unsigned char n[16];
+  } vt;
+  vt.v = v;
+  for (int i=0; i< 16; i++)
+    s << (int)vt.n[i] << ", ";
+  return s;
+}
+
+inline std::ostream & operator <<(std::ostream & s, const Packet4f & v)
+{
+  union {
+    Packet4f   v;
+    float n[4];
+  } vt;
+  vt.v = v;
+  s << vt.n[0] << ", " << vt.n[1] << ", " << vt.n[2] << ", " << vt.n[3];
+  return s;
+}
+
+inline std::ostream & operator <<(std::ostream & s, const Packet4i & v)
+{
+  union {
+    Packet4i   v;
+    int n[4];
+  } vt;
+  vt.v = v;
+  s << vt.n[0] << ", " << vt.n[1] << ", " << vt.n[2] << ", " << vt.n[3];
+  return s;
+}
+
+inline std::ostream & operator <<(std::ostream & s, const Packet4ui & v)
+{
+  union {
+    Packet4ui   v;
+    unsigned int n[4];
+  } vt;
+  vt.v = v;
+  s << vt.n[0] << ", " << vt.n[1] << ", " << vt.n[2] << ", " << vt.n[3];
+  return s;
+}
+
+// Need to define them first or we get specialization after instantiation errors
+template<> EIGEN_STRONG_INLINE Packet4f pload<Packet4f>(const float* from)
+{
+  EIGEN_DEBUG_ALIGNED_LOAD
+#ifdef __VSX__
+  return vec_vsx_ld(0, from);
+#else
+  return vec_ld(0, from);
+#endif
+}
+
+template<> EIGEN_STRONG_INLINE Packet4i pload<Packet4i>(const int*     from)
+{
+  EIGEN_DEBUG_ALIGNED_LOAD
+#ifdef __VSX__
+  return vec_vsx_ld(0, from);
+#else
+  return vec_ld(0, from);
+#endif
+}
+
+template<> EIGEN_STRONG_INLINE void pstore<float>(float*   to, const Packet4f& from)
+{
+  EIGEN_DEBUG_ALIGNED_STORE
+#ifdef __VSX__
+  vec_vsx_st(from, 0, to);
+#else
+  vec_st(from, 0, to);
+#endif
+}
+
+template<> EIGEN_STRONG_INLINE void pstore<int>(int*       to, const Packet4i& from)
+{
+  EIGEN_DEBUG_ALIGNED_STORE
+#ifdef __VSX__
+  vec_vsx_st(from, 0, to);
+#else
+  vec_st(from, 0, to);
+#endif
+}
+
+template<> EIGEN_STRONG_INLINE Packet4f pset1<Packet4f>(const float&  from) {
+  Packet4f v = {from, from, from, from};
+  return v;
+}
+
+template<> EIGEN_STRONG_INLINE Packet4i pset1<Packet4i>(const int&    from)   {
+  Packet4i v = {from, from, from, from};
+  return v;
+}
+template<> EIGEN_STRONG_INLINE void
+pbroadcast4<Packet4f>(const float *a,
+                      Packet4f& a0, Packet4f& a1, Packet4f& a2, Packet4f& a3)
+{
+  a3 = pload<Packet4f>(a);
+  a0 = vec_splat(a3, 0);
+  a1 = vec_splat(a3, 1);
+  a2 = vec_splat(a3, 2);
+  a3 = vec_splat(a3, 3);
+}
+template<> EIGEN_STRONG_INLINE void
+pbroadcast4<Packet4i>(const int *a,
+                      Packet4i& a0, Packet4i& a1, Packet4i& a2, Packet4i& a3)
+{
+  a3 = pload<Packet4i>(a);
+  a0 = vec_splat(a3, 0);
+  a1 = vec_splat(a3, 1);
+  a2 = vec_splat(a3, 2);
+  a3 = vec_splat(a3, 3);
+}
+
+template<> EIGEN_DEVICE_FUNC inline Packet4f pgather<float, Packet4f>(const float* from, Index stride)
+{
+  float EIGEN_ALIGN16 af[4];
+  af[0] = from[0*stride];
+  af[1] = from[1*stride];
+  af[2] = from[2*stride];
+  af[3] = from[3*stride];
+ return pload<Packet4f>(af);
+}
+template<> EIGEN_DEVICE_FUNC inline Packet4i pgather<int, Packet4i>(const int* from, Index stride)
+{
+  int EIGEN_ALIGN16 ai[4];
+  ai[0] = from[0*stride];
+  ai[1] = from[1*stride];
+  ai[2] = from[2*stride];
+  ai[3] = from[3*stride];
+ return pload<Packet4i>(ai);
+}
+template<> EIGEN_DEVICE_FUNC inline void pscatter<float, Packet4f>(float* to, const Packet4f& from, Index stride)
+{
+  float EIGEN_ALIGN16 af[4];
+  pstore<float>(af, from);
+  to[0*stride] = af[0];
+  to[1*stride] = af[1];
+  to[2*stride] = af[2];
+  to[3*stride] = af[3];
+}
+template<> EIGEN_DEVICE_FUNC inline void pscatter<int, Packet4i>(int* to, const Packet4i& from, Index stride)
+{
+  int EIGEN_ALIGN16 ai[4];
+  pstore<int>((int *)ai, from);
+  to[0*stride] = ai[0];
+  to[1*stride] = ai[1];
+  to[2*stride] = ai[2];
+  to[3*stride] = ai[3];
+}
+
+template<> EIGEN_STRONG_INLINE Packet4f plset<Packet4f>(const float& a) { return pset1<Packet4f>(a) + p4f_COUNTDOWN; }
+template<> EIGEN_STRONG_INLINE Packet4i plset<Packet4i>(const int& a)   { return pset1<Packet4i>(a) + p4i_COUNTDOWN; }
+
+template<> EIGEN_STRONG_INLINE Packet4f padd<Packet4f>(const Packet4f& a, const Packet4f& b) { return a + b; }
+template<> EIGEN_STRONG_INLINE Packet4i padd<Packet4i>(const Packet4i& a, const Packet4i& b) { return a + b; }
+
+template<> EIGEN_STRONG_INLINE Packet4f psub<Packet4f>(const Packet4f& a, const Packet4f& b) { return a - b; }
+template<> EIGEN_STRONG_INLINE Packet4i psub<Packet4i>(const Packet4i& a, const Packet4i& b) { return a - b; }
+
+template<> EIGEN_STRONG_INLINE Packet4f pnegate(const Packet4f& a) { return p4f_ZERO - a; }
+template<> EIGEN_STRONG_INLINE Packet4i pnegate(const Packet4i& a) { return p4i_ZERO - a; }
+
+template<> EIGEN_STRONG_INLINE Packet4f pconj(const Packet4f& a) { return a; }
+template<> EIGEN_STRONG_INLINE Packet4i pconj(const Packet4i& a) { return a; }
+
+template<> EIGEN_STRONG_INLINE Packet4f pmul<Packet4f>(const Packet4f& a, const Packet4f& b) { return vec_madd(a,b, p4f_MZERO); }
+template<> EIGEN_STRONG_INLINE Packet4i pmul<Packet4i>(const Packet4i& a, const Packet4i& b) { return a * b; }
+
+template<> EIGEN_STRONG_INLINE Packet4f pdiv<Packet4f>(const Packet4f& a, const Packet4f& b)
+{
+#ifndef __VSX__  // VSX actually provides a div instruction
+  Packet4f t, y_0, y_1;
+
+  // Altivec does not offer a divide instruction, we have to do a reciprocal approximation
+  y_0 = vec_re(b);
+
+  // Do one Newton-Raphson iteration to get the needed accuracy
+  t   = vec_nmsub(y_0, b, p4f_ONE);
+  y_1 = vec_madd(y_0, t, y_0);
+
+  return vec_madd(a, y_1, p4f_MZERO);
+#else
+  return vec_div(a, b);
+#endif
+}
+
+template<> EIGEN_STRONG_INLINE Packet4i pdiv<Packet4i>(const Packet4i& /*a*/, const Packet4i& /*b*/)
+{ eigen_assert(false && "packet integer division are not supported by AltiVec");
+  return pset1<Packet4i>(0);
+}
+
+// for some weird raisons, it has to be overloaded for packet of integers
+template<> EIGEN_STRONG_INLINE Packet4f pmadd(const Packet4f& a, const Packet4f& b, const Packet4f& c) { return vec_madd(a,b,c); }
+template<> EIGEN_STRONG_INLINE Packet4i pmadd(const Packet4i& a, const Packet4i& b, const Packet4i& c) { return a*b + c; }
+
+template<> EIGEN_STRONG_INLINE Packet4f pmin<Packet4f>(const Packet4f& a, const Packet4f& b)
+{
+  #ifdef __VSX__
+  Packet4f ret;
+  __asm__ ("xvcmpgesp %x0,%x1,%x2\n\txxsel %x0,%x1,%x2,%x0" : "=&wa" (ret) : "wa" (a), "wa" (b));
+  return ret;
+  #else
+  return vec_min(a, b);
+  #endif
+}
+template<> EIGEN_STRONG_INLINE Packet4i pmin<Packet4i>(const Packet4i& a, const Packet4i& b) { return vec_min(a, b); }
+
+template<> EIGEN_STRONG_INLINE Packet4f pmax<Packet4f>(const Packet4f& a, const Packet4f& b)
+{
+  #ifdef __VSX__
+  Packet4f ret;
+  __asm__ ("xvcmpgtsp %x0,%x2,%x1\n\txxsel %x0,%x1,%x2,%x0" : "=&wa" (ret) : "wa" (a), "wa" (b));
+  return ret;
+  #else
+  return vec_max(a, b);
+  #endif
+}
+template<> EIGEN_STRONG_INLINE Packet4i pmax<Packet4i>(const Packet4i& a, const Packet4i& b) { return vec_max(a, b); }
+
+template<> EIGEN_STRONG_INLINE Packet4f pand<Packet4f>(const Packet4f& a, const Packet4f& b) { return vec_and(a, b); }
+template<> EIGEN_STRONG_INLINE Packet4i pand<Packet4i>(const Packet4i& a, const Packet4i& b) { return vec_and(a, b); }
+
+template<> EIGEN_STRONG_INLINE Packet4f por<Packet4f>(const Packet4f& a, const Packet4f& b) { return vec_or(a, b); }
+template<> EIGEN_STRONG_INLINE Packet4i por<Packet4i>(const Packet4i& a, const Packet4i& b) { return vec_or(a, b); }
+
+template<> EIGEN_STRONG_INLINE Packet4f pxor<Packet4f>(const Packet4f& a, const Packet4f& b) { return vec_xor(a, b); }
+template<> EIGEN_STRONG_INLINE Packet4i pxor<Packet4i>(const Packet4i& a, const Packet4i& b) { return vec_xor(a, b); }
+
+template<> EIGEN_STRONG_INLINE Packet4f pandnot<Packet4f>(const Packet4f& a, const Packet4f& b) { return vec_and(a, vec_nor(b, b)); }
+template<> EIGEN_STRONG_INLINE Packet4i pandnot<Packet4i>(const Packet4i& a, const Packet4i& b) { return vec_and(a, vec_nor(b, b)); }
+
+template<> EIGEN_STRONG_INLINE Packet4f pround<Packet4f>(const Packet4f& a) { return vec_round(a); }
+template<> EIGEN_STRONG_INLINE Packet4f pceil<Packet4f>(const  Packet4f& a) { return vec_ceil(a); }
+template<> EIGEN_STRONG_INLINE Packet4f pfloor<Packet4f>(const Packet4f& a) { return vec_floor(a); }
+
+#ifdef _BIG_ENDIAN
+template<> EIGEN_STRONG_INLINE Packet4f ploadu<Packet4f>(const float* from)
+{
+  EIGEN_DEBUG_ALIGNED_LOAD
+  Packet16uc MSQ, LSQ;
+  Packet16uc mask;
+  MSQ = vec_ld(0, (unsigned char *)from);          // most significant quadword
+  LSQ = vec_ld(15, (unsigned char *)from);         // least significant quadword
+  mask = vec_lvsl(0, from);                        // create the permute mask
+  return (Packet4f) vec_perm(MSQ, LSQ, mask);           // align the data
+
+}
+template<> EIGEN_STRONG_INLINE Packet4i ploadu<Packet4i>(const int* from)
+{
+  EIGEN_DEBUG_ALIGNED_LOAD
+  // Taken from http://developer.apple.com/hardwaredrivers/ve/alignment.html
+  Packet16uc MSQ, LSQ;
+  Packet16uc mask;
+  MSQ = vec_ld(0, (unsigned char *)from);          // most significant quadword
+  LSQ = vec_ld(15, (unsigned char *)from);         // least significant quadword
+  mask = vec_lvsl(0, from);                        // create the permute mask
+  return (Packet4i) vec_perm(MSQ, LSQ, mask);    // align the data
+}
+#else
+// We also need ot redefine little endian loading of Packet4i/Packet4f using VSX
+template<> EIGEN_STRONG_INLINE Packet4i ploadu<Packet4i>(const int* from)
+{
+  EIGEN_DEBUG_UNALIGNED_LOAD
+  return (Packet4i) vec_vsx_ld((long)from & 15, (const int*) _EIGEN_ALIGNED_PTR(from));
+}
+template<> EIGEN_STRONG_INLINE Packet4f ploadu<Packet4f>(const float* from)
+{
+  EIGEN_DEBUG_UNALIGNED_LOAD
+  return (Packet4f) vec_vsx_ld((long)from & 15, (const float*) _EIGEN_ALIGNED_PTR(from));
+}
+#endif
+
+template<> EIGEN_STRONG_INLINE Packet4f ploaddup<Packet4f>(const float*   from)
+{
+  Packet4f p;
+  if((std::ptrdiff_t(from) % 16) == 0)  p = pload<Packet4f>(from);
+  else                                  p = ploadu<Packet4f>(from);
+  return vec_perm(p, p, p16uc_DUPLICATE32_HI);
+}
+template<> EIGEN_STRONG_INLINE Packet4i ploaddup<Packet4i>(const int*     from)
+{
+  Packet4i p;
+  if((std::ptrdiff_t(from) % 16) == 0)  p = pload<Packet4i>(from);
+  else                                  p = ploadu<Packet4i>(from);
+  return vec_perm(p, p, p16uc_DUPLICATE32_HI);
+}
+
+#ifdef _BIG_ENDIAN
+template<> EIGEN_STRONG_INLINE void pstoreu<float>(float*  to, const Packet4f& from)
+{
+  EIGEN_DEBUG_UNALIGNED_STORE
+  // Taken from http://developer.apple.com/hardwaredrivers/ve/alignment.html
+  // Warning: not thread safe!
+  Packet16uc MSQ, LSQ, edges;
+  Packet16uc edgeAlign, align;
+
+  MSQ = vec_ld(0, (unsigned char *)to);                     // most significant quadword
+  LSQ = vec_ld(15, (unsigned char *)to);                    // least significant quadword
+  edgeAlign = vec_lvsl(0, to);                              // permute map to extract edges
+  edges=vec_perm(LSQ,MSQ,edgeAlign);                        // extract the edges
+  align = vec_lvsr( 0, to );                                // permute map to misalign data
+  MSQ = vec_perm(edges,(Packet16uc)from,align);             // misalign the data (MSQ)
+  LSQ = vec_perm((Packet16uc)from,edges,align);             // misalign the data (LSQ)
+  vec_st( LSQ, 15, (unsigned char *)to );                   // Store the LSQ part first
+  vec_st( MSQ, 0, (unsigned char *)to );                    // Store the MSQ part
+}
+template<> EIGEN_STRONG_INLINE void pstoreu<int>(int*      to, const Packet4i& from)
+{
+  EIGEN_DEBUG_UNALIGNED_STORE
+  // Taken from http://developer.apple.com/hardwaredrivers/ve/alignment.html
+  // Warning: not thread safe!
+  Packet16uc MSQ, LSQ, edges;
+  Packet16uc edgeAlign, align;
+
+  MSQ = vec_ld(0, (unsigned char *)to);                     // most significant quadword
+  LSQ = vec_ld(15, (unsigned char *)to);                    // least significant quadword
+  edgeAlign = vec_lvsl(0, to);                              // permute map to extract edges
+  edges=vec_perm(LSQ, MSQ, edgeAlign);                      // extract the edges
+  align = vec_lvsr( 0, to );                                // permute map to misalign data
+  MSQ = vec_perm(edges, (Packet16uc) from, align);          // misalign the data (MSQ)
+  LSQ = vec_perm((Packet16uc) from, edges, align);          // misalign the data (LSQ)
+  vec_st( LSQ, 15, (unsigned char *)to );                   // Store the LSQ part first
+  vec_st( MSQ, 0, (unsigned char *)to );                    // Store the MSQ part
+}
+#else
+// We also need ot redefine little endian loading of Packet4i/Packet4f using VSX
+template<> EIGEN_STRONG_INLINE void pstoreu<int>(int*       to, const Packet4i& from)
+{
+  EIGEN_DEBUG_ALIGNED_STORE
+  vec_vsx_st(from, (long)to & 15, (int*) _EIGEN_ALIGNED_PTR(to));
+}
+template<> EIGEN_STRONG_INLINE void pstoreu<float>(float*   to, const Packet4f& from)
+{
+  EIGEN_DEBUG_ALIGNED_STORE
+  vec_vsx_st(from, (long)to & 15, (float*) _EIGEN_ALIGNED_PTR(to));
+}
+#endif
+
+template<> EIGEN_STRONG_INLINE void prefetch<float>(const float* addr)    { EIGEN_PPC_PREFETCH(addr); }
+template<> EIGEN_STRONG_INLINE void prefetch<int>(const int*     addr)    { EIGEN_PPC_PREFETCH(addr); }
+
+template<> EIGEN_STRONG_INLINE float  pfirst<Packet4f>(const Packet4f& a) { float EIGEN_ALIGN16 x; vec_ste(a, 0, &x); return x; }
+template<> EIGEN_STRONG_INLINE int    pfirst<Packet4i>(const Packet4i& a) { int   EIGEN_ALIGN16 x; vec_ste(a, 0, &x); return x; }
+
+template<> EIGEN_STRONG_INLINE Packet4f preverse(const Packet4f& a)
+{
+  return reinterpret_cast<Packet4f>(vec_perm(reinterpret_cast<Packet16uc>(a), reinterpret_cast<Packet16uc>(a), p16uc_REVERSE32));
+}
+template<> EIGEN_STRONG_INLINE Packet4i preverse(const Packet4i& a)
+{
+  return reinterpret_cast<Packet4i>(vec_perm(reinterpret_cast<Packet16uc>(a), reinterpret_cast<Packet16uc>(a), p16uc_REVERSE32)); }
+
+template<> EIGEN_STRONG_INLINE Packet4f pabs(const Packet4f& a) { return vec_abs(a); }
+template<> EIGEN_STRONG_INLINE Packet4i pabs(const Packet4i& a) { return vec_abs(a); }
+
+template<> EIGEN_STRONG_INLINE float predux<Packet4f>(const Packet4f& a)
+{
+  Packet4f b, sum;
+  b   = vec_sld(a, a, 8);
+  sum = a + b;
+  b   = vec_sld(sum, sum, 4);
+  sum += b;
+  return pfirst(sum);
+}
+
+template<> EIGEN_STRONG_INLINE Packet4f preduxp<Packet4f>(const Packet4f* vecs)
+{
+  Packet4f v[4], sum[4];
+
+  // It's easier and faster to transpose then add as columns
+  // Check: http://www.freevec.org/function/matrix_4x4_transpose_floats for explanation
+  // Do the transpose, first set of moves
+  v[0] = vec_mergeh(vecs[0], vecs[2]);
+  v[1] = vec_mergel(vecs[0], vecs[2]);
+  v[2] = vec_mergeh(vecs[1], vecs[3]);
+  v[3] = vec_mergel(vecs[1], vecs[3]);
+  // Get the resulting vectors
+  sum[0] = vec_mergeh(v[0], v[2]);
+  sum[1] = vec_mergel(v[0], v[2]);
+  sum[2] = vec_mergeh(v[1], v[3]);
+  sum[3] = vec_mergel(v[1], v[3]);
+
+  // Now do the summation:
+  // Lines 0+1
+  sum[0] = sum[0] + sum[1];
+  // Lines 2+3
+  sum[1] = sum[2] + sum[3];
+  // Add the results
+  sum[0] = sum[0] + sum[1];
+
+  return sum[0];
+}
+
+template<> EIGEN_STRONG_INLINE int predux<Packet4i>(const Packet4i& a)
+{
+  Packet4i sum;
+  sum = vec_sums(a, p4i_ZERO);
+#ifdef _BIG_ENDIAN
+  sum = vec_sld(sum, p4i_ZERO, 12);
+#else
+  sum = vec_sld(p4i_ZERO, sum, 4);
+#endif
+  return pfirst(sum);
+}
+
+template<> EIGEN_STRONG_INLINE Packet4i preduxp<Packet4i>(const Packet4i* vecs)
+{
+  Packet4i v[4], sum[4];
+
+  // It's easier and faster to transpose then add as columns
+  // Check: http://www.freevec.org/function/matrix_4x4_transpose_floats for explanation
+  // Do the transpose, first set of moves
+  v[0] = vec_mergeh(vecs[0], vecs[2]);
+  v[1] = vec_mergel(vecs[0], vecs[2]);
+  v[2] = vec_mergeh(vecs[1], vecs[3]);
+  v[3] = vec_mergel(vecs[1], vecs[3]);
+  // Get the resulting vectors
+  sum[0] = vec_mergeh(v[0], v[2]);
+  sum[1] = vec_mergel(v[0], v[2]);
+  sum[2] = vec_mergeh(v[1], v[3]);
+  sum[3] = vec_mergel(v[1], v[3]);
+
+  // Now do the summation:
+  // Lines 0+1
+  sum[0] = sum[0] + sum[1];
+  // Lines 2+3
+  sum[1] = sum[2] + sum[3];
+  // Add the results
+  sum[0] = sum[0] + sum[1];
+
+  return sum[0];
+}
+
+// Other reduction functions:
+// mul
+template<> EIGEN_STRONG_INLINE float predux_mul<Packet4f>(const Packet4f& a)
+{
+  Packet4f prod;
+  prod = pmul(a, vec_sld(a, a, 8));
+  return pfirst(pmul(prod, vec_sld(prod, prod, 4)));
+}
+
+template<> EIGEN_STRONG_INLINE int predux_mul<Packet4i>(const Packet4i& a)
+{
+  EIGEN_ALIGN16 int aux[4];
+  pstore(aux, a);
+  return aux[0] * aux[1] * aux[2] * aux[3];
+}
+
+// min
+template<> EIGEN_STRONG_INLINE float predux_min<Packet4f>(const Packet4f& a)
+{
+  Packet4f b, res;
+  b = vec_min(a, vec_sld(a, a, 8));
+  res = vec_min(b, vec_sld(b, b, 4));
+  return pfirst(res);
+}
+
+template<> EIGEN_STRONG_INLINE int predux_min<Packet4i>(const Packet4i& a)
+{
+  Packet4i b, res;
+  b = vec_min(a, vec_sld(a, a, 8));
+  res = vec_min(b, vec_sld(b, b, 4));
+  return pfirst(res);
+}
+
+// max
+template<> EIGEN_STRONG_INLINE float predux_max<Packet4f>(const Packet4f& a)
+{
+  Packet4f b, res;
+  b = vec_max(a, vec_sld(a, a, 8));
+  res = vec_max(b, vec_sld(b, b, 4));
+  return pfirst(res);
+}
+
+template<> EIGEN_STRONG_INLINE int predux_max<Packet4i>(const Packet4i& a)
+{
+  Packet4i b, res;
+  b = vec_max(a, vec_sld(a, a, 8));
+  res = vec_max(b, vec_sld(b, b, 4));
+  return pfirst(res);
+}
+
+template<int Offset>
+struct palign_impl<Offset,Packet4f>
+{
+  static EIGEN_STRONG_INLINE void run(Packet4f& first, const Packet4f& second)
+  {
+#ifdef _BIG_ENDIAN
+    switch (Offset % 4) {
+    case 1:
+      first = vec_sld(first, second, 4); break;
+    case 2:
+      first = vec_sld(first, second, 8); break;
+    case 3:
+      first = vec_sld(first, second, 12); break;
+    }
+#else
+    switch (Offset % 4) {
+    case 1:
+      first = vec_sld(second, first, 12); break;
+    case 2:
+      first = vec_sld(second, first, 8); break;
+    case 3:
+      first = vec_sld(second, first, 4); break;
+    }
+#endif
+  }
+};
+
+template<int Offset>
+struct palign_impl<Offset,Packet4i>
+{
+  static EIGEN_STRONG_INLINE void run(Packet4i& first, const Packet4i& second)
+  {
+#ifdef _BIG_ENDIAN
+    switch (Offset % 4) {
+    case 1:
+      first = vec_sld(first, second, 4); break;
+    case 2:
+      first = vec_sld(first, second, 8); break;
+    case 3:
+      first = vec_sld(first, second, 12); break;
+    }
+#else
+    switch (Offset % 4) {
+    case 1:
+      first = vec_sld(second, first, 12); break;
+    case 2:
+      first = vec_sld(second, first, 8); break;
+    case 3:
+      first = vec_sld(second, first, 4); break;
+    }
+#endif
+  }
+};
+
+EIGEN_DEVICE_FUNC inline void
+ptranspose(PacketBlock<Packet4f,4>& kernel) {
+  Packet4f t0, t1, t2, t3;
+  t0 = vec_mergeh(kernel.packet[0], kernel.packet[2]);
+  t1 = vec_mergel(kernel.packet[0], kernel.packet[2]);
+  t2 = vec_mergeh(kernel.packet[1], kernel.packet[3]);
+  t3 = vec_mergel(kernel.packet[1], kernel.packet[3]);
+  kernel.packet[0] = vec_mergeh(t0, t2);
+  kernel.packet[1] = vec_mergel(t0, t2);
+  kernel.packet[2] = vec_mergeh(t1, t3);
+  kernel.packet[3] = vec_mergel(t1, t3);
+}
+
+EIGEN_DEVICE_FUNC inline void
+ptranspose(PacketBlock<Packet4i,4>& kernel) {
+  Packet4i t0, t1, t2, t3;
+  t0 = vec_mergeh(kernel.packet[0], kernel.packet[2]);
+  t1 = vec_mergel(kernel.packet[0], kernel.packet[2]);
+  t2 = vec_mergeh(kernel.packet[1], kernel.packet[3]);
+  t3 = vec_mergel(kernel.packet[1], kernel.packet[3]);
+  kernel.packet[0] = vec_mergeh(t0, t2);
+  kernel.packet[1] = vec_mergel(t0, t2);
+  kernel.packet[2] = vec_mergeh(t1, t3);
+  kernel.packet[3] = vec_mergel(t1, t3);
+}
+
+template<> EIGEN_STRONG_INLINE Packet4i pblend(const Selector<4>& ifPacket, const Packet4i& thenPacket, const Packet4i& elsePacket) {
+  Packet4ui select = { ifPacket.select[0], ifPacket.select[1], ifPacket.select[2], ifPacket.select[3] };
+  Packet4ui mask = reinterpret_cast<Packet4ui>(vec_cmpeq(reinterpret_cast<Packet4ui>(select), reinterpret_cast<Packet4ui>(p4i_ONE)));
+  return vec_sel(elsePacket, thenPacket, mask);
+}
+
+template<> EIGEN_STRONG_INLINE Packet4f pblend(const Selector<4>& ifPacket, const Packet4f& thenPacket, const Packet4f& elsePacket) {
+  Packet4ui select = { ifPacket.select[0], ifPacket.select[1], ifPacket.select[2], ifPacket.select[3] };
+  Packet4ui mask = reinterpret_cast<Packet4ui>(vec_cmpeq(reinterpret_cast<Packet4ui>(select), reinterpret_cast<Packet4ui>(p4i_ONE)));
+  return vec_sel(elsePacket, thenPacket, mask);
+}
+
+
+//---------- double ----------
+#ifdef __VSX__
+typedef __vector double              Packet2d;
+typedef __vector unsigned long long  Packet2ul;
+typedef __vector long long           Packet2l;
+#if EIGEN_COMP_CLANG
+typedef Packet2ul                    Packet2bl;
+#else
+typedef __vector __bool long         Packet2bl;
+#endif
+
+static Packet2l  p2l_ONE  = { 1, 1 };
+static Packet2l  p2l_ZERO = reinterpret_cast<Packet2l>(p4i_ZERO);
+static Packet2d  p2d_ONE  = { 1.0, 1.0 };
+static Packet2d  p2d_ZERO = reinterpret_cast<Packet2d>(p4f_ZERO);
+static Packet2d  p2d_MZERO = { -0.0, -0.0 };
+
+#ifdef _BIG_ENDIAN
+static Packet2d p2d_COUNTDOWN = reinterpret_cast<Packet2d>(vec_sld(reinterpret_cast<Packet4f>(p2d_ZERO), reinterpret_cast<Packet4f>(p2d_ONE), 8));
+#else
+static Packet2d p2d_COUNTDOWN = reinterpret_cast<Packet2d>(vec_sld(reinterpret_cast<Packet4f>(p2d_ONE), reinterpret_cast<Packet4f>(p2d_ZERO), 8));
+#endif
+
+template<int index> Packet2d vec_splat_dbl(Packet2d& a);
+
+template<> EIGEN_STRONG_INLINE Packet2d vec_splat_dbl<0>(Packet2d& a)
+{
+  return reinterpret_cast<Packet2d>(vec_perm(a, a, p16uc_PSET64_HI));
+}
+
+template<> EIGEN_STRONG_INLINE Packet2d vec_splat_dbl<1>(Packet2d& a)
+{
+  return reinterpret_cast<Packet2d>(vec_perm(a, a, p16uc_PSET64_LO));
+}
+
+template<> struct packet_traits<double> : default_packet_traits
+{
+  typedef Packet2d type;
+  typedef Packet2d half;
+  enum {
+    Vectorizable = 1,
+    AlignedOnScalar = 1,
+    size=2,
+    HasHalfPacket = 1,
+
+    HasAdd  = 1,
+    HasSub  = 1,
+    HasMul  = 1,
+    HasDiv  = 1,
+    HasMin  = 1,
+    HasMax  = 1,
+    HasAbs  = 1,
+    HasSin  = 0,
+    HasCos  = 0,
+    HasLog  = 0,
+    HasExp  = 1,
+    HasSqrt = 1,
+    HasRsqrt = 1,
+    HasRound = 1,
+    HasFloor = 1,
+    HasCeil = 1,
+    HasNegate = 1,
+    HasBlend = 1
+  };
+};
+
+template<> struct unpacket_traits<Packet2d> { typedef double type; enum {size=2, alignment=Aligned16}; typedef Packet2d half; };
+
+inline std::ostream & operator <<(std::ostream & s, const Packet2l & v)
+{
+  union {
+    Packet2l   v;
+    int64_t n[2];
+  } vt;
+  vt.v = v;
+  s << vt.n[0] << ", " << vt.n[1];
+  return s;
+}
+
+inline std::ostream & operator <<(std::ostream & s, const Packet2d & v)
+{
+  union {
+    Packet2d   v;
+    double n[2];
+  } vt;
+  vt.v = v;
+  s << vt.n[0] << ", " << vt.n[1];
+  return s;
+}
+
+// Need to define them first or we get specialization after instantiation errors
+template<> EIGEN_STRONG_INLINE Packet2d pload<Packet2d>(const double* from)
+{
+  EIGEN_DEBUG_ALIGNED_LOAD
+#ifdef __VSX__
+  return vec_vsx_ld(0, from);
+#else
+  return vec_ld(0, from);
+#endif
+}
+
+template<> EIGEN_STRONG_INLINE void pstore<double>(double*   to, const Packet2d& from)
+{
+  EIGEN_DEBUG_ALIGNED_STORE
+#ifdef __VSX__
+  vec_vsx_st(from, 0, to);
+#else
+  vec_st(from, 0, to);
+#endif
+}
+
+template<> EIGEN_STRONG_INLINE Packet2d pset1<Packet2d>(const double&  from) {
+  Packet2d v = {from, from};
+  return v;
+}
+
+template<> EIGEN_STRONG_INLINE void
+pbroadcast4<Packet2d>(const double *a,
+                      Packet2d& a0, Packet2d& a1, Packet2d& a2, Packet2d& a3)
+{
+  a1 = pload<Packet2d>(a);
+  a0 = vec_splat_dbl<0>(a1);
+  a1 = vec_splat_dbl<1>(a1);
+  a3 = pload<Packet2d>(a+2);
+  a2 = vec_splat_dbl<0>(a3);
+  a3 = vec_splat_dbl<1>(a3);
+}
+
+template<> EIGEN_DEVICE_FUNC inline Packet2d pgather<double, Packet2d>(const double* from, Index stride)
+{
+  double EIGEN_ALIGN16 af[2];
+  af[0] = from[0*stride];
+  af[1] = from[1*stride];
+ return pload<Packet2d>(af);
+}
+template<> EIGEN_DEVICE_FUNC inline void pscatter<double, Packet2d>(double* to, const Packet2d& from, Index stride)
+{
+  double EIGEN_ALIGN16 af[2];
+  pstore<double>(af, from);
+  to[0*stride] = af[0];
+  to[1*stride] = af[1];
+}
+
+template<> EIGEN_STRONG_INLINE Packet2d plset<Packet2d>(const double& a) { return pset1<Packet2d>(a) + p2d_COUNTDOWN; }
+
+template<> EIGEN_STRONG_INLINE Packet2d padd<Packet2d>(const Packet2d& a, const Packet2d& b) { return a + b; }
+
+template<> EIGEN_STRONG_INLINE Packet2d psub<Packet2d>(const Packet2d& a, const Packet2d& b) { return a - b; }
+
+template<> EIGEN_STRONG_INLINE Packet2d pnegate(const Packet2d& a) { return p2d_ZERO - a; }
+
+template<> EIGEN_STRONG_INLINE Packet2d pconj(const Packet2d& a) { return a; }
+
+template<> EIGEN_STRONG_INLINE Packet2d pmul<Packet2d>(const Packet2d& a, const Packet2d& b) { return vec_madd(a,b,p2d_MZERO); }
+template<> EIGEN_STRONG_INLINE Packet2d pdiv<Packet2d>(const Packet2d& a, const Packet2d& b) { return vec_div(a,b); }
+
+// for some weird raisons, it has to be overloaded for packet of integers
+template<> EIGEN_STRONG_INLINE Packet2d pmadd(const Packet2d& a, const Packet2d& b, const Packet2d& c) { return vec_madd(a, b, c); }
+
+template<> EIGEN_STRONG_INLINE Packet2d pmin<Packet2d>(const Packet2d& a, const Packet2d& b)
+{
+  Packet2d ret;
+  __asm__ ("xvcmpgedp %x0,%x1,%x2\n\txxsel %x0,%x1,%x2,%x0" : "=&wa" (ret) : "wa" (a), "wa" (b));
+  return ret;
+ }
+
+template<> EIGEN_STRONG_INLINE Packet2d pmax<Packet2d>(const Packet2d& a, const Packet2d& b)
+{
+  Packet2d ret;
+  __asm__ ("xvcmpgtdp %x0,%x2,%x1\n\txxsel %x0,%x1,%x2,%x0" : "=&wa" (ret) : "wa" (a), "wa" (b));
+  return ret;
+}
+
+template<> EIGEN_STRONG_INLINE Packet2d pand<Packet2d>(const Packet2d& a, const Packet2d& b) { return vec_and(a, b); }
+
+template<> EIGEN_STRONG_INLINE Packet2d por<Packet2d>(const Packet2d& a, const Packet2d& b) { return vec_or(a, b); }
+
+template<> EIGEN_STRONG_INLINE Packet2d pxor<Packet2d>(const Packet2d& a, const Packet2d& b) { return vec_xor(a, b); }
+
+template<> EIGEN_STRONG_INLINE Packet2d pandnot<Packet2d>(const Packet2d& a, const Packet2d& b) { return vec_and(a, vec_nor(b, b)); }
+
+template<> EIGEN_STRONG_INLINE Packet2d pround<Packet2d>(const Packet2d& a) { return vec_round(a); }
+template<> EIGEN_STRONG_INLINE Packet2d pceil<Packet2d>(const  Packet2d& a) { return vec_ceil(a); }
+template<> EIGEN_STRONG_INLINE Packet2d pfloor<Packet2d>(const Packet2d& a) { return vec_floor(a); }
+
+template<> EIGEN_STRONG_INLINE Packet2d ploadu<Packet2d>(const double* from)
+{
+  EIGEN_DEBUG_ALIGNED_LOAD
+  return (Packet2d) vec_vsx_ld((long)from & 15, (const double*) _EIGEN_ALIGNED_PTR(from));
+}
+
+template<> EIGEN_STRONG_INLINE Packet2d ploaddup<Packet2d>(const double*   from)
+{
+  Packet2d p;
+  if((std::ptrdiff_t(from) % 16) == 0)  p = pload<Packet2d>(from);
+  else                                  p = ploadu<Packet2d>(from);
+  return vec_splat_dbl<0>(p);
+}
+
+template<> EIGEN_STRONG_INLINE void pstoreu<double>(double*  to, const Packet2d& from)
+{
+  EIGEN_DEBUG_ALIGNED_STORE
+  vec_vsx_st((Packet4f)from, (long)to & 15, (float*) _EIGEN_ALIGNED_PTR(to));
+}
+
+template<> EIGEN_STRONG_INLINE void prefetch<double>(const double* addr) { EIGEN_PPC_PREFETCH(addr); }
+
+template<> EIGEN_STRONG_INLINE double  pfirst<Packet2d>(const Packet2d& a) { double EIGEN_ALIGN16 x[2]; pstore<double>(x, a); return x[0]; }
+
+template<> EIGEN_STRONG_INLINE Packet2d preverse(const Packet2d& a)
+{
+  return reinterpret_cast<Packet2d>(vec_perm(reinterpret_cast<Packet16uc>(a), reinterpret_cast<Packet16uc>(a), p16uc_REVERSE64));
+}
+template<> EIGEN_STRONG_INLINE Packet2d pabs(const Packet2d& a) { return vec_abs(a); }
+
+template<> EIGEN_STRONG_INLINE double predux<Packet2d>(const Packet2d& a)
+{
+  Packet2d b, sum;
+  b   = reinterpret_cast<Packet2d>(vec_sld(reinterpret_cast<Packet4f>(a), reinterpret_cast<Packet4f>(a), 8));
+  sum = a + b;
+  return pfirst<Packet2d>(sum);
+}
+
+template<> EIGEN_STRONG_INLINE Packet2d preduxp<Packet2d>(const Packet2d* vecs)
+{
+  Packet2d v[2], sum;
+  v[0] = vecs[0] + reinterpret_cast<Packet2d>(vec_sld(reinterpret_cast<Packet4f>(vecs[0]), reinterpret_cast<Packet4f>(vecs[0]), 8));
+  v[1] = vecs[1] + reinterpret_cast<Packet2d>(vec_sld(reinterpret_cast<Packet4f>(vecs[1]), reinterpret_cast<Packet4f>(vecs[1]), 8));
+
+#ifdef _BIG_ENDIAN
+  sum = reinterpret_cast<Packet2d>(vec_sld(reinterpret_cast<Packet4f>(v[0]), reinterpret_cast<Packet4f>(v[1]), 8));
+#else
+  sum = reinterpret_cast<Packet2d>(vec_sld(reinterpret_cast<Packet4f>(v[1]), reinterpret_cast<Packet4f>(v[0]), 8));
+#endif
+
+  return sum;
+}
+// Other reduction functions:
+// mul
+template<> EIGEN_STRONG_INLINE double predux_mul<Packet2d>(const Packet2d& a)
+{
+  return pfirst(pmul(a, reinterpret_cast<Packet2d>(vec_sld(reinterpret_cast<Packet4ui>(a), reinterpret_cast<Packet4ui>(a), 8))));
+}
+
+// min
+template<> EIGEN_STRONG_INLINE double predux_min<Packet2d>(const Packet2d& a)
+{
+  return pfirst(pmin(a, reinterpret_cast<Packet2d>(vec_sld(reinterpret_cast<Packet4ui>(a), reinterpret_cast<Packet4ui>(a), 8))));
+}
+
+// max
+template<> EIGEN_STRONG_INLINE double predux_max<Packet2d>(const Packet2d& a)
+{
+  return pfirst(pmax(a, reinterpret_cast<Packet2d>(vec_sld(reinterpret_cast<Packet4ui>(a), reinterpret_cast<Packet4ui>(a), 8))));
+}
+
+template<int Offset>
+struct palign_impl<Offset,Packet2d>
+{
+  static EIGEN_STRONG_INLINE void run(Packet2d& first, const Packet2d& second)
+  {
+    if (Offset == 1)
+#ifdef _BIG_ENDIAN
+      first = reinterpret_cast<Packet2d>(vec_sld(reinterpret_cast<Packet4ui>(first), reinterpret_cast<Packet4ui>(second), 8));
+#else
+      first = reinterpret_cast<Packet2d>(vec_sld(reinterpret_cast<Packet4ui>(second), reinterpret_cast<Packet4ui>(first), 8));
+#endif
+  }
+};
+
+EIGEN_DEVICE_FUNC inline void
+ptranspose(PacketBlock<Packet2d,2>& kernel) {
+  Packet2d t0, t1;
+  t0 = vec_perm(kernel.packet[0], kernel.packet[1], p16uc_TRANSPOSE64_HI);
+  t1 = vec_perm(kernel.packet[0], kernel.packet[1], p16uc_TRANSPOSE64_LO);
+  kernel.packet[0] = t0;
+  kernel.packet[1] = t1;
+}
+
+template<> EIGEN_STRONG_INLINE Packet2d pblend(const Selector<2>& ifPacket, const Packet2d& thenPacket, const Packet2d& elsePacket) {
+  Packet2l select = { ifPacket.select[0], ifPacket.select[1] };
+  Packet2bl mask = reinterpret_cast<Packet2bl>( vec_cmpeq(reinterpret_cast<Packet2d>(select), reinterpret_cast<Packet2d>(p2l_ONE)) );
+  return vec_sel(elsePacket, thenPacket, mask);
+}
+#endif // __VSX__
+} // end namespace internal
+
+} // end namespace Eigen
+
+#endif // EIGEN_PACKET_MATH_ALTIVEC_H
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/arch/AltiVec/MathFunctions.h
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/arch/AltiVec/MathFunctions.h	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/arch/AltiVec/MathFunctions.h	(revision 3761)
@@ -0,0 +1,322 @@
+// This file is part of Eigen, a lightweight C++ template library
+// for linear algebra.
+//
+// Copyright (C) 2007 Julien Pommier
+// Copyright (C) 2009 Gael Guennebaud <gael.guennebaud@inria.fr>
+// Copyright (C) 2016 Konstantinos Margaritis <markos@freevec.org>
+//
+// This Source Code Form is subject to the terms of the Mozilla
+// Public License v. 2.0. If a copy of the MPL was not distributed
+// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
+
+/* The sin, cos, exp, and log functions of this file come from
+ * Julien Pommier's sse math library: http://gruntthepeon.free.fr/ssemath/
+ */
+
+#ifndef EIGEN_MATH_FUNCTIONS_ALTIVEC_H
+#define EIGEN_MATH_FUNCTIONS_ALTIVEC_H
+
+namespace Eigen {
+
+namespace internal {
+
+static _EIGEN_DECLARE_CONST_Packet4f(1 , 1.0f);
+static _EIGEN_DECLARE_CONST_Packet4f(half, 0.5f);
+static _EIGEN_DECLARE_CONST_Packet4i(0x7f, 0x7f);
+static _EIGEN_DECLARE_CONST_Packet4i(23, 23);
+
+static _EIGEN_DECLARE_CONST_Packet4f_FROM_INT(inv_mant_mask, ~0x7f800000);
+
+/* the smallest non denormalized float number */
+static _EIGEN_DECLARE_CONST_Packet4f_FROM_INT(min_norm_pos,  0x00800000);
+static _EIGEN_DECLARE_CONST_Packet4f_FROM_INT(minus_inf,     0xff800000); // -1.f/0.f
+static _EIGEN_DECLARE_CONST_Packet4f_FROM_INT(minus_nan,     0xffffffff);
+  
+/* natural logarithm computed for 4 simultaneous float
+  return NaN for x <= 0
+*/
+static _EIGEN_DECLARE_CONST_Packet4f(cephes_SQRTHF, 0.707106781186547524f);
+static _EIGEN_DECLARE_CONST_Packet4f(cephes_log_p0, 7.0376836292E-2f);
+static _EIGEN_DECLARE_CONST_Packet4f(cephes_log_p1, - 1.1514610310E-1f);
+static _EIGEN_DECLARE_CONST_Packet4f(cephes_log_p2, 1.1676998740E-1f);
+static _EIGEN_DECLARE_CONST_Packet4f(cephes_log_p3, - 1.2420140846E-1f);
+static _EIGEN_DECLARE_CONST_Packet4f(cephes_log_p4, + 1.4249322787E-1f);
+static _EIGEN_DECLARE_CONST_Packet4f(cephes_log_p5, - 1.6668057665E-1f);
+static _EIGEN_DECLARE_CONST_Packet4f(cephes_log_p6, + 2.0000714765E-1f);
+static _EIGEN_DECLARE_CONST_Packet4f(cephes_log_p7, - 2.4999993993E-1f);
+static _EIGEN_DECLARE_CONST_Packet4f(cephes_log_p8, + 3.3333331174E-1f);
+static _EIGEN_DECLARE_CONST_Packet4f(cephes_log_q1, -2.12194440e-4f);
+static _EIGEN_DECLARE_CONST_Packet4f(cephes_log_q2, 0.693359375f);
+
+static _EIGEN_DECLARE_CONST_Packet4f(exp_hi,  88.3762626647950f);
+static _EIGEN_DECLARE_CONST_Packet4f(exp_lo, -88.3762626647949f);
+
+static _EIGEN_DECLARE_CONST_Packet4f(cephes_LOG2EF, 1.44269504088896341f);
+static _EIGEN_DECLARE_CONST_Packet4f(cephes_exp_C1, 0.693359375f);
+static _EIGEN_DECLARE_CONST_Packet4f(cephes_exp_C2, -2.12194440e-4f);
+
+static _EIGEN_DECLARE_CONST_Packet4f(cephes_exp_p0, 1.9875691500E-4f);
+static _EIGEN_DECLARE_CONST_Packet4f(cephes_exp_p1, 1.3981999507E-3f);
+static _EIGEN_DECLARE_CONST_Packet4f(cephes_exp_p2, 8.3334519073E-3f);
+static _EIGEN_DECLARE_CONST_Packet4f(cephes_exp_p3, 4.1665795894E-2f);
+static _EIGEN_DECLARE_CONST_Packet4f(cephes_exp_p4, 1.6666665459E-1f);
+static _EIGEN_DECLARE_CONST_Packet4f(cephes_exp_p5, 5.0000001201E-1f);
+
+#ifdef __VSX__
+static _EIGEN_DECLARE_CONST_Packet2d(1 , 1.0);
+static _EIGEN_DECLARE_CONST_Packet2d(2 , 2.0);
+static _EIGEN_DECLARE_CONST_Packet2d(half, 0.5);
+
+static _EIGEN_DECLARE_CONST_Packet2d(exp_hi,  709.437);
+static _EIGEN_DECLARE_CONST_Packet2d(exp_lo, -709.436139303);
+
+static _EIGEN_DECLARE_CONST_Packet2d(cephes_LOG2EF, 1.4426950408889634073599);
+
+static _EIGEN_DECLARE_CONST_Packet2d(cephes_exp_p0, 1.26177193074810590878e-4);
+static _EIGEN_DECLARE_CONST_Packet2d(cephes_exp_p1, 3.02994407707441961300e-2);
+static _EIGEN_DECLARE_CONST_Packet2d(cephes_exp_p2, 9.99999999999999999910e-1);
+
+static _EIGEN_DECLARE_CONST_Packet2d(cephes_exp_q0, 3.00198505138664455042e-6);
+static _EIGEN_DECLARE_CONST_Packet2d(cephes_exp_q1, 2.52448340349684104192e-3);
+static _EIGEN_DECLARE_CONST_Packet2d(cephes_exp_q2, 2.27265548208155028766e-1);
+static _EIGEN_DECLARE_CONST_Packet2d(cephes_exp_q3, 2.00000000000000000009e0);
+
+static _EIGEN_DECLARE_CONST_Packet2d(cephes_exp_C1, 0.693145751953125);
+static _EIGEN_DECLARE_CONST_Packet2d(cephes_exp_C2, 1.42860682030941723212e-6);
+
+#ifdef __POWER8_VECTOR__
+static Packet2l p2l_1023 = { 1023, 1023 };
+static Packet2ul p2ul_52 = { 52, 52 };
+#endif
+
+#endif
+
+template<> EIGEN_DEFINE_FUNCTION_ALLOWING_MULTIPLE_DEFINITIONS EIGEN_UNUSED
+Packet4f plog<Packet4f>(const Packet4f& _x)
+{
+  Packet4f x = _x;
+
+  Packet4i emm0;
+
+  /* isvalid_mask is 0 if x < 0 or x is NaN. */
+  Packet4ui isvalid_mask = reinterpret_cast<Packet4ui>(vec_cmpge(x, p4f_ZERO));
+  Packet4ui iszero_mask = reinterpret_cast<Packet4ui>(vec_cmpeq(x, p4f_ZERO));
+
+  x = pmax(x, p4f_min_norm_pos);  /* cut off denormalized stuff */
+  emm0 = vec_sr(reinterpret_cast<Packet4i>(x),
+                reinterpret_cast<Packet4ui>(p4i_23));
+
+  /* keep only the fractional part */
+  x = pand(x, p4f_inv_mant_mask);
+  x = por(x, p4f_half);
+
+  emm0 = psub(emm0, p4i_0x7f);
+  Packet4f e = padd(vec_ctf(emm0, 0), p4f_1);
+
+  /* part2:
+     if( x < SQRTHF ) {
+       e -= 1;
+       x = x + x - 1.0;
+     } else { x = x - 1.0; }
+  */
+  Packet4f mask = reinterpret_cast<Packet4f>(vec_cmplt(x, p4f_cephes_SQRTHF));
+  Packet4f tmp = pand(x, mask);
+  x = psub(x, p4f_1);
+  e = psub(e, pand(p4f_1, mask));
+  x = padd(x, tmp);
+
+  Packet4f x2 = pmul(x,x);
+  Packet4f x3 = pmul(x2,x);
+
+  Packet4f y, y1, y2;
+  y  = pmadd(p4f_cephes_log_p0, x, p4f_cephes_log_p1);
+  y1 = pmadd(p4f_cephes_log_p3, x, p4f_cephes_log_p4);
+  y2 = pmadd(p4f_cephes_log_p6, x, p4f_cephes_log_p7);
+  y  = pmadd(y , x, p4f_cephes_log_p2);
+  y1 = pmadd(y1, x, p4f_cephes_log_p5);
+  y2 = pmadd(y2, x, p4f_cephes_log_p8);
+  y = pmadd(y, x3, y1);
+  y = pmadd(y, x3, y2);
+  y = pmul(y, x3);
+
+  y1 = pmul(e, p4f_cephes_log_q1);
+  tmp = pmul(x2, p4f_half);
+  y = padd(y, y1);
+  x = psub(x, tmp);
+  y2 = pmul(e, p4f_cephes_log_q2);
+  x = padd(x, y);
+  x = padd(x, y2);
+  // negative arg will be NAN, 0 will be -INF
+  x = vec_sel(x, p4f_minus_inf, iszero_mask);
+  x = vec_sel(p4f_minus_nan, x, isvalid_mask);
+  return x;
+}
+
+template<> EIGEN_DEFINE_FUNCTION_ALLOWING_MULTIPLE_DEFINITIONS EIGEN_UNUSED
+Packet4f pexp<Packet4f>(const Packet4f& _x)
+{
+  Packet4f x = _x;
+
+  Packet4f tmp, fx;
+  Packet4i emm0;
+
+  // clamp x
+  x = pmax(pmin(x, p4f_exp_hi), p4f_exp_lo);
+
+  // express exp(x) as exp(g + n*log(2))
+  fx = pmadd(x, p4f_cephes_LOG2EF, p4f_half);
+
+  fx = pfloor(fx);
+
+  tmp = pmul(fx, p4f_cephes_exp_C1);
+  Packet4f z = pmul(fx, p4f_cephes_exp_C2);
+  x = psub(x, tmp);
+  x = psub(x, z);
+
+  z = pmul(x,x);
+
+  Packet4f y = p4f_cephes_exp_p0;
+  y = pmadd(y, x, p4f_cephes_exp_p1);
+  y = pmadd(y, x, p4f_cephes_exp_p2);
+  y = pmadd(y, x, p4f_cephes_exp_p3);
+  y = pmadd(y, x, p4f_cephes_exp_p4);
+  y = pmadd(y, x, p4f_cephes_exp_p5);
+  y = pmadd(y, z, x);
+  y = padd(y, p4f_1);
+
+  // build 2^n
+  emm0 = vec_cts(fx, 0);
+  emm0 = vec_add(emm0, p4i_0x7f);
+  emm0 = vec_sl(emm0, reinterpret_cast<Packet4ui>(p4i_23));
+
+  // Altivec's max & min operators just drop silent NaNs. Check NaNs in 
+  // inputs and return them unmodified.
+  Packet4ui isnumber_mask = reinterpret_cast<Packet4ui>(vec_cmpeq(_x, _x));
+  return vec_sel(_x, pmax(pmul(y, reinterpret_cast<Packet4f>(emm0)), _x),
+                 isnumber_mask);
+}
+
+#ifndef EIGEN_COMP_CLANG
+template<> EIGEN_DEFINE_FUNCTION_ALLOWING_MULTIPLE_DEFINITIONS EIGEN_UNUSED
+Packet4f prsqrt<Packet4f>(const Packet4f& x)
+{
+  return  vec_rsqrt(x);
+}
+#endif
+
+#ifdef __VSX__
+#ifndef EIGEN_COMP_CLANG
+template<> EIGEN_DEFINE_FUNCTION_ALLOWING_MULTIPLE_DEFINITIONS EIGEN_UNUSED
+Packet2d prsqrt<Packet2d>(const Packet2d& x)
+{
+  return  vec_rsqrt(x);
+}
+#endif
+
+template<> EIGEN_DEFINE_FUNCTION_ALLOWING_MULTIPLE_DEFINITIONS EIGEN_UNUSED
+Packet4f psqrt<Packet4f>(const Packet4f& x)
+{
+  return  vec_sqrt(x);
+}
+
+template<> EIGEN_DEFINE_FUNCTION_ALLOWING_MULTIPLE_DEFINITIONS EIGEN_UNUSED
+Packet2d psqrt<Packet2d>(const Packet2d& x)
+{
+  return  vec_sqrt(x);
+}
+
+// VSX support varies between different compilers and even different
+// versions of the same compiler.  For gcc version >= 4.9.3, we can use
+// vec_cts to efficiently convert Packet2d to Packet2l.  Otherwise, use
+// a slow version that works with older compilers. 
+// Update: apparently vec_cts/vec_ctf intrinsics for 64-bit doubles
+// are buggy, https://gcc.gnu.org/bugzilla/show_bug.cgi?id=70963
+static inline Packet2l ConvertToPacket2l(const Packet2d& x) {
+#if EIGEN_GNUC_AT_LEAST(5, 4) || \
+    (EIGEN_GNUC_AT(6, 1) && __GNUC_PATCHLEVEL__ >= 1)
+  return vec_cts(x, 0);    // TODO: check clang version.
+#else
+  double tmp[2];
+  memcpy(tmp, &x, sizeof(tmp));
+  Packet2l l = { static_cast<long long>(tmp[0]),
+                 static_cast<long long>(tmp[1]) };
+  return l;
+#endif
+}
+
+template<> EIGEN_DEFINE_FUNCTION_ALLOWING_MULTIPLE_DEFINITIONS EIGEN_UNUSED
+Packet2d pexp<Packet2d>(const Packet2d& _x)
+{
+  Packet2d x = _x;
+
+  Packet2d tmp, fx;
+  Packet2l emm0;
+
+  // clamp x
+  x = pmax(pmin(x, p2d_exp_hi), p2d_exp_lo);
+
+  /* express exp(x) as exp(g + n*log(2)) */
+  fx = pmadd(x, p2d_cephes_LOG2EF, p2d_half);
+
+  fx = pfloor(fx);
+
+  tmp = pmul(fx, p2d_cephes_exp_C1);
+  Packet2d z = pmul(fx, p2d_cephes_exp_C2);
+  x = psub(x, tmp);
+  x = psub(x, z);
+
+  Packet2d x2 = pmul(x,x);
+
+  Packet2d px = p2d_cephes_exp_p0;
+  px = pmadd(px, x2, p2d_cephes_exp_p1);
+  px = pmadd(px, x2, p2d_cephes_exp_p2);
+  px = pmul (px, x);
+
+  Packet2d qx = p2d_cephes_exp_q0;
+  qx = pmadd(qx, x2, p2d_cephes_exp_q1);
+  qx = pmadd(qx, x2, p2d_cephes_exp_q2);
+  qx = pmadd(qx, x2, p2d_cephes_exp_q3);
+
+  x = pdiv(px,psub(qx,px));
+  x = pmadd(p2d_2,x,p2d_1);
+
+  // build 2^n
+  emm0 = ConvertToPacket2l(fx);
+
+#ifdef __POWER8_VECTOR__ 
+  emm0 = vec_add(emm0, p2l_1023);
+  emm0 = vec_sl(emm0, p2ul_52);
+#else
+  // Code is a bit complex for POWER7.  There is actually a
+  // vec_xxsldi intrinsic but it is not supported by some gcc versions.
+  // So we shift (52-32) bits and do a word swap with zeros.
+  _EIGEN_DECLARE_CONST_Packet4i(1023, 1023);
+  _EIGEN_DECLARE_CONST_Packet4i(20, 20);    // 52 - 32
+
+  Packet4i emm04i = reinterpret_cast<Packet4i>(emm0);
+  emm04i = vec_add(emm04i, p4i_1023);
+  emm04i = vec_sl(emm04i, reinterpret_cast<Packet4ui>(p4i_20));
+  static const Packet16uc perm = {
+    0x14, 0x15, 0x16, 0x17, 0x00, 0x01, 0x02, 0x03, 
+    0x1c, 0x1d, 0x1e, 0x1f, 0x08, 0x09, 0x0a, 0x0b };
+#ifdef  _BIG_ENDIAN
+  emm0 = reinterpret_cast<Packet2l>(vec_perm(p4i_ZERO, emm04i, perm));
+#else
+  emm0 = reinterpret_cast<Packet2l>(vec_perm(emm04i, p4i_ZERO, perm));
+#endif
+
+#endif
+
+  // Altivec's max & min operators just drop silent NaNs. Check NaNs in 
+  // inputs and return them unmodified.
+  Packet2ul isnumber_mask = reinterpret_cast<Packet2ul>(vec_cmpeq(_x, _x));
+  return vec_sel(_x, pmax(pmul(x, reinterpret_cast<Packet2d>(emm0)), _x),
+                 isnumber_mask);
+}
+#endif
+
+}  // end namespace internal
+
+}  // end namespace Eigen
+
+#endif  // EIGEN_MATH_FUNCTIONS_ALTIVEC_H
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/arch/AltiVec/Complex.h
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/arch/AltiVec/Complex.h	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/arch/AltiVec/Complex.h	(revision 3761)
@@ -0,0 +1,430 @@
+// This file is part of Eigen, a lightweight C++ template library
+// for linear algebra.
+//
+// Copyright (C) 2010 Gael Guennebaud <gael.guennebaud@inria.fr>
+// Copyright (C) 2010-2016 Konstantinos Margaritis <markos@freevec.org>
+//
+// This Source Code Form is subject to the terms of the Mozilla
+// Public License v. 2.0. If a copy of the MPL was not distributed
+// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
+
+#ifndef EIGEN_COMPLEX32_ALTIVEC_H
+#define EIGEN_COMPLEX32_ALTIVEC_H
+
+namespace Eigen {
+
+namespace internal {
+
+static Packet4ui  p4ui_CONJ_XOR = vec_mergeh((Packet4ui)p4i_ZERO, (Packet4ui)p4f_MZERO);//{ 0x00000000, 0x80000000, 0x00000000, 0x80000000 };
+#ifdef __VSX__
+#if defined(_BIG_ENDIAN)
+static Packet2ul  p2ul_CONJ_XOR1 = (Packet2ul) vec_sld((Packet4ui) p2d_MZERO, (Packet4ui) p2l_ZERO, 8);//{ 0x8000000000000000, 0x0000000000000000 };
+static Packet2ul  p2ul_CONJ_XOR2 = (Packet2ul) vec_sld((Packet4ui) p2l_ZERO,  (Packet4ui) p2d_MZERO, 8);//{ 0x8000000000000000, 0x0000000000000000 };
+#else
+static Packet2ul  p2ul_CONJ_XOR1 = (Packet2ul) vec_sld((Packet4ui) p2l_ZERO,  (Packet4ui) p2d_MZERO, 8);//{ 0x8000000000000000, 0x0000000000000000 };
+static Packet2ul  p2ul_CONJ_XOR2 = (Packet2ul) vec_sld((Packet4ui) p2d_MZERO, (Packet4ui) p2l_ZERO, 8);//{ 0x8000000000000000, 0x0000000000000000 };
+#endif
+#endif
+
+//---------- float ----------
+struct Packet2cf
+{
+  EIGEN_STRONG_INLINE explicit Packet2cf() : v(p4f_ZERO) {}
+  EIGEN_STRONG_INLINE explicit Packet2cf(const Packet4f& a) : v(a) {}
+  Packet4f  v;
+};
+
+template<> struct packet_traits<std::complex<float> >  : default_packet_traits
+{
+  typedef Packet2cf type;
+  typedef Packet2cf half;
+  enum {
+    Vectorizable = 1,
+    AlignedOnScalar = 1,
+    size = 2,
+    HasHalfPacket = 0,
+
+    HasAdd    = 1,
+    HasSub    = 1,
+    HasMul    = 1,
+    HasDiv    = 1,
+    HasNegate = 1,
+    HasAbs    = 0,
+    HasAbs2   = 0,
+    HasMin    = 0,
+    HasMax    = 0,
+#ifdef __VSX__
+    HasBlend  = 1,
+#endif
+    HasSetLinear = 0
+  };
+};
+
+template<> struct unpacket_traits<Packet2cf> { typedef std::complex<float> type; enum {size=2, alignment=Aligned16}; typedef Packet2cf half; };
+
+template<> EIGEN_STRONG_INLINE Packet2cf pset1<Packet2cf>(const std::complex<float>&  from)
+{
+  Packet2cf res;
+  if((std::ptrdiff_t(&from) % 16) == 0)
+    res.v = pload<Packet4f>((const float *)&from);
+  else
+    res.v = ploadu<Packet4f>((const float *)&from);
+  res.v = vec_perm(res.v, res.v, p16uc_PSET64_HI);
+  return res;
+}
+
+template<> EIGEN_STRONG_INLINE Packet2cf pload<Packet2cf>(const std::complex<float>*        from) { return Packet2cf(pload<Packet4f>((const float *) from)); }
+template<> EIGEN_STRONG_INLINE Packet2cf ploadu<Packet2cf>(const std::complex<float>*       from) { return Packet2cf(ploadu<Packet4f>((const float*) from)); }
+template<> EIGEN_STRONG_INLINE Packet2cf ploaddup<Packet2cf>(const std::complex<float>*     from) { return pset1<Packet2cf>(*from); }
+
+template<> EIGEN_STRONG_INLINE void pstore <std::complex<float> >(std::complex<float> *   to, const Packet2cf& from) { pstore((float*)to, from.v); }
+template<> EIGEN_STRONG_INLINE void pstoreu<std::complex<float> >(std::complex<float> *   to, const Packet2cf& from) { pstoreu((float*)to, from.v); }
+
+template<> EIGEN_DEVICE_FUNC inline Packet2cf pgather<std::complex<float>, Packet2cf>(const std::complex<float>* from, Index stride)
+{
+  std::complex<float> EIGEN_ALIGN16 af[2];
+  af[0] = from[0*stride];
+  af[1] = from[1*stride];
+  return pload<Packet2cf>(af);
+}
+template<> EIGEN_DEVICE_FUNC inline void pscatter<std::complex<float>, Packet2cf>(std::complex<float>* to, const Packet2cf& from, Index stride)
+{
+  std::complex<float> EIGEN_ALIGN16 af[2];
+  pstore<std::complex<float> >((std::complex<float> *) af, from);
+  to[0*stride] = af[0];
+  to[1*stride] = af[1];
+}
+
+template<> EIGEN_STRONG_INLINE Packet2cf padd<Packet2cf>(const Packet2cf& a, const Packet2cf& b) { return Packet2cf(a.v + b.v); }
+template<> EIGEN_STRONG_INLINE Packet2cf psub<Packet2cf>(const Packet2cf& a, const Packet2cf& b) { return Packet2cf(a.v - b.v); }
+template<> EIGEN_STRONG_INLINE Packet2cf pnegate(const Packet2cf& a) { return Packet2cf(pnegate(a.v)); }
+template<> EIGEN_STRONG_INLINE Packet2cf pconj(const Packet2cf& a) { return Packet2cf(pxor<Packet4f>(a.v, reinterpret_cast<Packet4f>(p4ui_CONJ_XOR))); }
+
+template<> EIGEN_STRONG_INLINE Packet2cf pmul<Packet2cf>(const Packet2cf& a, const Packet2cf& b)
+{
+  Packet4f v1, v2;
+
+  // Permute and multiply the real parts of a and b
+  v1 = vec_perm(a.v, a.v, p16uc_PSET32_WODD);
+  // Get the imaginary parts of a
+  v2 = vec_perm(a.v, a.v, p16uc_PSET32_WEVEN);
+  // multiply a_re * b 
+  v1 = vec_madd(v1, b.v, p4f_ZERO);
+  // multiply a_im * b and get the conjugate result
+  v2 = vec_madd(v2, b.v, p4f_ZERO);
+  v2 = reinterpret_cast<Packet4f>(pxor(v2, reinterpret_cast<Packet4f>(p4ui_CONJ_XOR)));
+  // permute back to a proper order
+  v2 = vec_perm(v2, v2, p16uc_COMPLEX32_REV);
+  
+  return Packet2cf(padd<Packet4f>(v1, v2));
+}
+
+template<> EIGEN_STRONG_INLINE Packet2cf pand   <Packet2cf>(const Packet2cf& a, const Packet2cf& b) { return Packet2cf(pand<Packet4f>(a.v, b.v)); }
+template<> EIGEN_STRONG_INLINE Packet2cf por    <Packet2cf>(const Packet2cf& a, const Packet2cf& b) { return Packet2cf(por<Packet4f>(a.v, b.v)); }
+template<> EIGEN_STRONG_INLINE Packet2cf pxor   <Packet2cf>(const Packet2cf& a, const Packet2cf& b) { return Packet2cf(pxor<Packet4f>(a.v, b.v)); }
+template<> EIGEN_STRONG_INLINE Packet2cf pandnot<Packet2cf>(const Packet2cf& a, const Packet2cf& b) { return Packet2cf(pandnot<Packet4f>(a.v, b.v)); }
+
+template<> EIGEN_STRONG_INLINE void prefetch<std::complex<float> >(const std::complex<float> * addr)    { EIGEN_PPC_PREFETCH(addr); }
+
+template<> EIGEN_STRONG_INLINE std::complex<float>  pfirst<Packet2cf>(const Packet2cf& a)
+{
+  std::complex<float> EIGEN_ALIGN16 res[2];
+  pstore((float *)&res, a.v);
+
+  return res[0];
+}
+
+template<> EIGEN_STRONG_INLINE Packet2cf preverse(const Packet2cf& a)
+{
+  Packet4f rev_a;
+  rev_a = vec_perm(a.v, a.v, p16uc_COMPLEX32_REV2);
+  return Packet2cf(rev_a);
+}
+
+template<> EIGEN_STRONG_INLINE std::complex<float> predux<Packet2cf>(const Packet2cf& a)
+{
+  Packet4f b;
+  b = vec_sld(a.v, a.v, 8);
+  b = padd<Packet4f>(a.v, b);
+  return pfirst<Packet2cf>(Packet2cf(b));
+}
+
+template<> EIGEN_STRONG_INLINE Packet2cf preduxp<Packet2cf>(const Packet2cf* vecs)
+{
+  Packet4f b1, b2;
+#ifdef _BIG_ENDIAN  
+  b1 = vec_sld(vecs[0].v, vecs[1].v, 8);
+  b2 = vec_sld(vecs[1].v, vecs[0].v, 8);
+#else
+  b1 = vec_sld(vecs[1].v, vecs[0].v, 8);
+  b2 = vec_sld(vecs[0].v, vecs[1].v, 8);
+#endif
+  b2 = vec_sld(b2, b2, 8);
+  b2 = padd<Packet4f>(b1, b2);
+
+  return Packet2cf(b2);
+}
+
+template<> EIGEN_STRONG_INLINE std::complex<float> predux_mul<Packet2cf>(const Packet2cf& a)
+{
+  Packet4f b;
+  Packet2cf prod;
+  b = vec_sld(a.v, a.v, 8);
+  prod = pmul<Packet2cf>(a, Packet2cf(b));
+
+  return pfirst<Packet2cf>(prod);
+}
+
+template<int Offset>
+struct palign_impl<Offset,Packet2cf>
+{
+  static EIGEN_STRONG_INLINE void run(Packet2cf& first, const Packet2cf& second)
+  {
+    if (Offset==1)
+    {
+#ifdef _BIG_ENDIAN
+      first.v = vec_sld(first.v, second.v, 8);
+#else
+      first.v = vec_sld(second.v, first.v, 8);
+#endif
+    }
+  }
+};
+
+template<> struct conj_helper<Packet2cf, Packet2cf, false,true>
+{
+  EIGEN_STRONG_INLINE Packet2cf pmadd(const Packet2cf& x, const Packet2cf& y, const Packet2cf& c) const
+  { return padd(pmul(x,y),c); }
+
+  EIGEN_STRONG_INLINE Packet2cf pmul(const Packet2cf& a, const Packet2cf& b) const
+  {
+    return internal::pmul(a, pconj(b));
+  }
+};
+
+template<> struct conj_helper<Packet2cf, Packet2cf, true,false>
+{
+  EIGEN_STRONG_INLINE Packet2cf pmadd(const Packet2cf& x, const Packet2cf& y, const Packet2cf& c) const
+  { return padd(pmul(x,y),c); }
+
+  EIGEN_STRONG_INLINE Packet2cf pmul(const Packet2cf& a, const Packet2cf& b) const
+  {
+    return internal::pmul(pconj(a), b);
+  }
+};
+
+template<> struct conj_helper<Packet2cf, Packet2cf, true,true>
+{
+  EIGEN_STRONG_INLINE Packet2cf pmadd(const Packet2cf& x, const Packet2cf& y, const Packet2cf& c) const
+  { return padd(pmul(x,y),c); }
+
+  EIGEN_STRONG_INLINE Packet2cf pmul(const Packet2cf& a, const Packet2cf& b) const
+  {
+    return pconj(internal::pmul(a, b));
+  }
+};
+
+EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f)
+
+template<> EIGEN_STRONG_INLINE Packet2cf pdiv<Packet2cf>(const Packet2cf& a, const Packet2cf& b)
+{
+  // TODO optimize it for AltiVec
+  Packet2cf res = conj_helper<Packet2cf,Packet2cf,false,true>().pmul(a, b);
+  Packet4f s = pmul<Packet4f>(b.v, b.v);
+  return Packet2cf(pdiv(res.v, padd<Packet4f>(s, vec_perm(s, s, p16uc_COMPLEX32_REV))));
+}
+
+template<> EIGEN_STRONG_INLINE Packet2cf pcplxflip<Packet2cf>(const Packet2cf& x)
+{
+  return Packet2cf(vec_perm(x.v, x.v, p16uc_COMPLEX32_REV));
+}
+
+EIGEN_STRONG_INLINE void ptranspose(PacketBlock<Packet2cf,2>& kernel)
+{
+  Packet4f tmp = vec_perm(kernel.packet[0].v, kernel.packet[1].v, p16uc_TRANSPOSE64_HI);
+  kernel.packet[1].v = vec_perm(kernel.packet[0].v, kernel.packet[1].v, p16uc_TRANSPOSE64_LO);
+  kernel.packet[0].v = tmp;
+}
+
+#ifdef __VSX__
+template<> EIGEN_STRONG_INLINE Packet2cf pblend(const Selector<2>& ifPacket, const Packet2cf& thenPacket, const Packet2cf& elsePacket) {
+  Packet2cf result;
+  result.v = reinterpret_cast<Packet4f>(pblend<Packet2d>(ifPacket, reinterpret_cast<Packet2d>(thenPacket.v), reinterpret_cast<Packet2d>(elsePacket.v)));
+  return result;
+}
+#endif
+
+//---------- double ----------
+#ifdef __VSX__
+struct Packet1cd
+{
+  EIGEN_STRONG_INLINE Packet1cd() {}
+  EIGEN_STRONG_INLINE explicit Packet1cd(const Packet2d& a) : v(a) {}
+  Packet2d v;
+};
+
+template<> struct packet_traits<std::complex<double> >  : default_packet_traits
+{
+  typedef Packet1cd type;
+  typedef Packet1cd half;
+  enum {
+    Vectorizable = 1,
+    AlignedOnScalar = 0,
+    size = 1,
+    HasHalfPacket = 0,
+
+    HasAdd    = 1,
+    HasSub    = 1,
+    HasMul    = 1,
+    HasDiv    = 1,
+    HasNegate = 1,
+    HasAbs    = 0,
+    HasAbs2   = 0,
+    HasMin    = 0,
+    HasMax    = 0,
+    HasSetLinear = 0
+  };
+};
+
+template<> struct unpacket_traits<Packet1cd> { typedef std::complex<double> type; enum {size=1, alignment=Aligned16}; typedef Packet1cd half; };
+
+template<> EIGEN_STRONG_INLINE Packet1cd pload <Packet1cd>(const std::complex<double>* from) { return Packet1cd(pload<Packet2d>((const double*)from)); }
+template<> EIGEN_STRONG_INLINE Packet1cd ploadu<Packet1cd>(const std::complex<double>* from) { return Packet1cd(ploadu<Packet2d>((const double*)from)); }
+template<> EIGEN_STRONG_INLINE void pstore <std::complex<double> >(std::complex<double> *   to, const Packet1cd& from) { pstore((double*)to, from.v); }
+template<> EIGEN_STRONG_INLINE void pstoreu<std::complex<double> >(std::complex<double> *   to, const Packet1cd& from) { pstoreu((double*)to, from.v); }
+
+template<> EIGEN_STRONG_INLINE Packet1cd pset1<Packet1cd>(const std::complex<double>&  from)
+{ /* here we really have to use unaligned loads :( */ return ploadu<Packet1cd>(&from); }
+
+template<> EIGEN_DEVICE_FUNC inline Packet1cd pgather<std::complex<double>, Packet1cd>(const std::complex<double>* from, Index stride)
+{
+  std::complex<double> EIGEN_ALIGN16 af[2];
+  af[0] = from[0*stride];
+  af[1] = from[1*stride];
+  return pload<Packet1cd>(af);
+}
+template<> EIGEN_DEVICE_FUNC inline void pscatter<std::complex<double>, Packet1cd>(std::complex<double>* to, const Packet1cd& from, Index stride)
+{
+  std::complex<double> EIGEN_ALIGN16 af[2];
+  pstore<std::complex<double> >(af, from);
+  to[0*stride] = af[0];
+  to[1*stride] = af[1];
+}
+
+template<> EIGEN_STRONG_INLINE Packet1cd padd<Packet1cd>(const Packet1cd& a, const Packet1cd& b) { return Packet1cd(a.v + b.v); }
+template<> EIGEN_STRONG_INLINE Packet1cd psub<Packet1cd>(const Packet1cd& a, const Packet1cd& b) { return Packet1cd(a.v - b.v); }
+template<> EIGEN_STRONG_INLINE Packet1cd pnegate(const Packet1cd& a) { return Packet1cd(pnegate(Packet2d(a.v))); }
+template<> EIGEN_STRONG_INLINE Packet1cd pconj(const Packet1cd& a) { return Packet1cd(pxor(a.v, reinterpret_cast<Packet2d>(p2ul_CONJ_XOR2))); }
+
+template<> EIGEN_STRONG_INLINE Packet1cd pmul<Packet1cd>(const Packet1cd& a, const Packet1cd& b)
+{
+  Packet2d a_re, a_im, v1, v2;
+
+  // Permute and multiply the real parts of a and b
+  a_re = vec_perm(a.v, a.v, p16uc_PSET64_HI);
+  // Get the imaginary parts of a
+  a_im = vec_perm(a.v, a.v, p16uc_PSET64_LO);
+  // multiply a_re * b
+  v1 = vec_madd(a_re, b.v, p2d_ZERO);
+  // multiply a_im * b and get the conjugate result
+  v2 = vec_madd(a_im, b.v, p2d_ZERO);
+  v2 = reinterpret_cast<Packet2d>(vec_sld(reinterpret_cast<Packet4ui>(v2), reinterpret_cast<Packet4ui>(v2), 8));
+  v2 = pxor(v2, reinterpret_cast<Packet2d>(p2ul_CONJ_XOR1));
+
+  return Packet1cd(padd<Packet2d>(v1, v2));
+}
+
+template<> EIGEN_STRONG_INLINE Packet1cd pand   <Packet1cd>(const Packet1cd& a, const Packet1cd& b) { return Packet1cd(pand(a.v,b.v)); }
+template<> EIGEN_STRONG_INLINE Packet1cd por    <Packet1cd>(const Packet1cd& a, const Packet1cd& b) { return Packet1cd(por(a.v,b.v)); }
+template<> EIGEN_STRONG_INLINE Packet1cd pxor   <Packet1cd>(const Packet1cd& a, const Packet1cd& b) { return Packet1cd(pxor(a.v,b.v)); }
+template<> EIGEN_STRONG_INLINE Packet1cd pandnot<Packet1cd>(const Packet1cd& a, const Packet1cd& b) { return Packet1cd(pandnot(a.v, b.v)); }
+
+template<> EIGEN_STRONG_INLINE Packet1cd ploaddup<Packet1cd>(const std::complex<double>*     from)  { return pset1<Packet1cd>(*from); }
+
+template<> EIGEN_STRONG_INLINE void prefetch<std::complex<double> >(const std::complex<double> * addr)    { EIGEN_PPC_PREFETCH(addr); }
+
+template<> EIGEN_STRONG_INLINE std::complex<double>  pfirst<Packet1cd>(const Packet1cd& a)
+{
+  std::complex<double> EIGEN_ALIGN16 res[2];
+  pstore<std::complex<double> >(res, a);
+
+  return res[0];
+}
+
+template<> EIGEN_STRONG_INLINE Packet1cd preverse(const Packet1cd& a) { return a; }
+
+template<> EIGEN_STRONG_INLINE std::complex<double> predux<Packet1cd>(const Packet1cd& a) { return pfirst(a); }
+template<> EIGEN_STRONG_INLINE Packet1cd preduxp<Packet1cd>(const Packet1cd* vecs)        { return vecs[0]; }
+
+template<> EIGEN_STRONG_INLINE std::complex<double> predux_mul<Packet1cd>(const Packet1cd& a) { return pfirst(a); }
+
+template<int Offset>
+struct palign_impl<Offset,Packet1cd>
+{
+  static EIGEN_STRONG_INLINE void run(Packet1cd& /*first*/, const Packet1cd& /*second*/)
+  {
+    // FIXME is it sure we never have to align a Packet1cd?
+    // Even though a std::complex<double> has 16 bytes, it is not necessarily aligned on a 16 bytes boundary...
+  }
+};
+
+template<> struct conj_helper<Packet1cd, Packet1cd, false,true>
+{
+  EIGEN_STRONG_INLINE Packet1cd pmadd(const Packet1cd& x, const Packet1cd& y, const Packet1cd& c) const
+  { return padd(pmul(x,y),c); }
+
+  EIGEN_STRONG_INLINE Packet1cd pmul(const Packet1cd& a, const Packet1cd& b) const
+  {
+    return internal::pmul(a, pconj(b));
+  }
+};
+
+template<> struct conj_helper<Packet1cd, Packet1cd, true,false>
+{
+  EIGEN_STRONG_INLINE Packet1cd pmadd(const Packet1cd& x, const Packet1cd& y, const Packet1cd& c) const
+  { return padd(pmul(x,y),c); }
+
+  EIGEN_STRONG_INLINE Packet1cd pmul(const Packet1cd& a, const Packet1cd& b) const
+  {
+    return internal::pmul(pconj(a), b);
+  }
+};
+
+template<> struct conj_helper<Packet1cd, Packet1cd, true,true>
+{
+  EIGEN_STRONG_INLINE Packet1cd pmadd(const Packet1cd& x, const Packet1cd& y, const Packet1cd& c) const
+  { return padd(pmul(x,y),c); }
+
+  EIGEN_STRONG_INLINE Packet1cd pmul(const Packet1cd& a, const Packet1cd& b) const
+  {
+    return pconj(internal::pmul(a, b));
+  }
+};
+
+EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d)
+
+template<> EIGEN_STRONG_INLINE Packet1cd pdiv<Packet1cd>(const Packet1cd& a, const Packet1cd& b)
+{
+  // TODO optimize it for AltiVec
+  Packet1cd res = conj_helper<Packet1cd,Packet1cd,false,true>().pmul(a,b);
+  Packet2d s = pmul<Packet2d>(b.v, b.v);
+  return Packet1cd(pdiv(res.v, padd<Packet2d>(s, vec_perm(s, s, p16uc_REVERSE64))));
+}
+
+EIGEN_STRONG_INLINE Packet1cd pcplxflip/*<Packet1cd>*/(const Packet1cd& x)
+{
+  return Packet1cd(preverse(Packet2d(x.v)));
+}
+
+EIGEN_STRONG_INLINE void ptranspose(PacketBlock<Packet1cd,2>& kernel)
+{
+  Packet2d tmp = vec_perm(kernel.packet[0].v, kernel.packet[1].v, p16uc_TRANSPOSE64_HI);
+  kernel.packet[1].v = vec_perm(kernel.packet[0].v, kernel.packet[1].v, p16uc_TRANSPOSE64_LO);
+  kernel.packet[0].v = tmp;
+}
+#endif // __VSX__
+} // end namespace internal
+
+} // end namespace Eigen
+
+#endif // EIGEN_COMPLEX32_ALTIVEC_H
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h	(revision 3761)
@@ -0,0 +1,895 @@
+// This file is part of Eigen, a lightweight C++ template library
+// for linear algebra.
+//
+// Copyright (C) 2008-2009 Gael Guennebaud <gael.guennebaud@inria.fr>
+//
+// This Source Code Form is subject to the terms of the Mozilla
+// Public License v. 2.0. If a copy of the MPL was not distributed
+// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
+
+#ifndef EIGEN_PACKET_MATH_SSE_H
+#define EIGEN_PACKET_MATH_SSE_H
+
+namespace Eigen {
+
+namespace internal {
+
+#ifndef EIGEN_CACHEFRIENDLY_PRODUCT_THRESHOLD
+#define EIGEN_CACHEFRIENDLY_PRODUCT_THRESHOLD 8
+#endif
+
+#ifndef EIGEN_ARCH_DEFAULT_NUMBER_OF_REGISTERS
+#define EIGEN_ARCH_DEFAULT_NUMBER_OF_REGISTERS (2*sizeof(void*))
+#endif
+
+#ifdef __FMA__
+#ifndef EIGEN_HAS_SINGLE_INSTRUCTION_MADD
+#define EIGEN_HAS_SINGLE_INSTRUCTION_MADD 1
+#endif
+#endif
+
+#if ((defined EIGEN_VECTORIZE_AVX) && (EIGEN_COMP_GNUC_STRICT || EIGEN_COMP_MINGW) && (__GXX_ABI_VERSION < 1004)) || EIGEN_OS_QNX
+// With GCC's default ABI version, a __m128 or __m256 are the same types and therefore we cannot
+// have overloads for both types without linking error.
+// One solution is to increase ABI version using -fabi-version=4 (or greater).
+// Otherwise, we workaround this inconvenience by wrapping 128bit types into the following helper
+// structure:
+template<typename T>
+struct eigen_packet_wrapper
+{
+  EIGEN_ALWAYS_INLINE operator T&() { return m_val; }
+  EIGEN_ALWAYS_INLINE operator const T&() const { return m_val; }
+  EIGEN_ALWAYS_INLINE eigen_packet_wrapper() {}
+  EIGEN_ALWAYS_INLINE eigen_packet_wrapper(const T &v) : m_val(v) {}
+  EIGEN_ALWAYS_INLINE eigen_packet_wrapper& operator=(const T &v) {
+    m_val = v;
+    return *this;
+  }
+  
+  T m_val;
+};
+typedef eigen_packet_wrapper<__m128>  Packet4f;
+typedef eigen_packet_wrapper<__m128i> Packet4i;
+typedef eigen_packet_wrapper<__m128d> Packet2d;
+#else
+typedef __m128  Packet4f;
+typedef __m128i Packet4i;
+typedef __m128d Packet2d;
+#endif
+
+template<> struct is_arithmetic<__m128>  { enum { value = true }; };
+template<> struct is_arithmetic<__m128i> { enum { value = true }; };
+template<> struct is_arithmetic<__m128d> { enum { value = true }; };
+
+#define vec4f_swizzle1(v,p,q,r,s) \
+  (_mm_castsi128_ps(_mm_shuffle_epi32( _mm_castps_si128(v), ((s)<<6|(r)<<4|(q)<<2|(p)))))
+
+#define vec4i_swizzle1(v,p,q,r,s) \
+  (_mm_shuffle_epi32( v, ((s)<<6|(r)<<4|(q)<<2|(p))))
+
+#define vec2d_swizzle1(v,p,q) \
+  (_mm_castsi128_pd(_mm_shuffle_epi32( _mm_castpd_si128(v), ((q*2+1)<<6|(q*2)<<4|(p*2+1)<<2|(p*2)))))
+  
+#define vec4f_swizzle2(a,b,p,q,r,s) \
+  (_mm_shuffle_ps( (a), (b), ((s)<<6|(r)<<4|(q)<<2|(p))))
+
+#define vec4i_swizzle2(a,b,p,q,r,s) \
+  (_mm_castps_si128( (_mm_shuffle_ps( _mm_castsi128_ps(a), _mm_castsi128_ps(b), ((s)<<6|(r)<<4|(q)<<2|(p))))))
+
+#define _EIGEN_DECLARE_CONST_Packet4f(NAME,X) \
+  const Packet4f p4f_##NAME = pset1<Packet4f>(X)
+
+#define _EIGEN_DECLARE_CONST_Packet2d(NAME,X) \
+  const Packet2d p2d_##NAME = pset1<Packet2d>(X)
+
+#define _EIGEN_DECLARE_CONST_Packet4f_FROM_INT(NAME,X) \
+  const Packet4f p4f_##NAME = _mm_castsi128_ps(pset1<Packet4i>(X))
+
+#define _EIGEN_DECLARE_CONST_Packet4i(NAME,X) \
+  const Packet4i p4i_##NAME = pset1<Packet4i>(X)
+
+
+// Use the packet_traits defined in AVX/PacketMath.h instead if we're going
+// to leverage AVX instructions.
+#ifndef EIGEN_VECTORIZE_AVX
+template<> struct packet_traits<float>  : default_packet_traits
+{
+  typedef Packet4f type;
+  typedef Packet4f half;
+  enum {
+    Vectorizable = 1,
+    AlignedOnScalar = 1,
+    size=4,
+    HasHalfPacket = 0,
+
+    HasDiv  = 1,
+    HasSin  = EIGEN_FAST_MATH,
+    HasCos  = EIGEN_FAST_MATH,
+    HasLog  = 1,
+    HasExp  = 1,
+    HasSqrt = 1,
+    HasRsqrt = 1,
+    HasTanh  = EIGEN_FAST_MATH,
+    HasBlend = 1
+
+#ifdef EIGEN_VECTORIZE_SSE4_1
+    ,
+    HasRound = 1,
+    HasFloor = 1,
+    HasCeil = 1
+#endif
+  };
+};
+template<> struct packet_traits<double> : default_packet_traits
+{
+  typedef Packet2d type;
+  typedef Packet2d half;
+  enum {
+    Vectorizable = 1,
+    AlignedOnScalar = 1,
+    size=2,
+    HasHalfPacket = 0,
+
+    HasDiv  = 1,
+    HasExp  = 1,
+    HasSqrt = 1,
+    HasRsqrt = 1,
+    HasBlend = 1
+
+#ifdef EIGEN_VECTORIZE_SSE4_1
+    ,
+    HasRound = 1,
+    HasFloor = 1,
+    HasCeil = 1
+#endif
+  };
+};
+#endif
+template<> struct packet_traits<int>    : default_packet_traits
+{
+  typedef Packet4i type;
+  typedef Packet4i half;
+  enum {
+    Vectorizable = 1,
+    AlignedOnScalar = 1,
+    size=4,
+
+    HasBlend = 1
+  };
+};
+
+template<> struct unpacket_traits<Packet4f> { typedef float  type; enum {size=4, alignment=Aligned16}; typedef Packet4f half; };
+template<> struct unpacket_traits<Packet2d> { typedef double type; enum {size=2, alignment=Aligned16}; typedef Packet2d half; };
+template<> struct unpacket_traits<Packet4i> { typedef int    type; enum {size=4, alignment=Aligned16}; typedef Packet4i half; };
+
+#ifndef EIGEN_VECTORIZE_AVX
+template<> struct scalar_div_cost<float,true> { enum { value = 7 }; };
+template<> struct scalar_div_cost<double,true> { enum { value = 8 }; };
+#endif
+
+#if EIGEN_COMP_MSVC==1500
+// Workaround MSVC 9 internal compiler error.
+// TODO: It has been detected with win64 builds (amd64), so let's check whether it also happens in 32bits+SSE mode
+// TODO: let's check whether there does not exist a better fix, like adding a pset0() function. (it crashed on pset1(0)).
+template<> EIGEN_STRONG_INLINE Packet4f pset1<Packet4f>(const float&  from) { return _mm_set_ps(from,from,from,from); }
+template<> EIGEN_STRONG_INLINE Packet2d pset1<Packet2d>(const double& from) { return _mm_set_pd(from,from); }
+template<> EIGEN_STRONG_INLINE Packet4i pset1<Packet4i>(const int&    from) { return _mm_set_epi32(from,from,from,from); }
+#else
+template<> EIGEN_STRONG_INLINE Packet4f pset1<Packet4f>(const float&  from) { return _mm_set_ps1(from); }
+template<> EIGEN_STRONG_INLINE Packet2d pset1<Packet2d>(const double& from) { return _mm_set1_pd(from); }
+template<> EIGEN_STRONG_INLINE Packet4i pset1<Packet4i>(const int&    from) { return _mm_set1_epi32(from); }
+#endif
+
+// GCC generates a shufps instruction for _mm_set1_ps/_mm_load1_ps instead of the more efficient pshufd instruction.
+// However, using inrinsics for pset1 makes gcc to generate crappy code in some cases (see bug 203)
+// Using inline assembly is also not an option because then gcc fails to reorder properly the instructions.
+// Therefore, we introduced the pload1 functions to be used in product kernels for which bug 203 does not apply.
+// Also note that with AVX, we want it to generate a vbroadcastss.
+#if EIGEN_COMP_GNUC_STRICT && (!defined __AVX__)
+template<> EIGEN_STRONG_INLINE Packet4f pload1<Packet4f>(const float *from) {
+  return vec4f_swizzle1(_mm_load_ss(from),0,0,0,0);
+}
+#endif
+  
+template<> EIGEN_STRONG_INLINE Packet4f plset<Packet4f>(const float& a) { return _mm_add_ps(pset1<Packet4f>(a), _mm_set_ps(3,2,1,0)); }
+template<> EIGEN_STRONG_INLINE Packet2d plset<Packet2d>(const double& a) { return _mm_add_pd(pset1<Packet2d>(a),_mm_set_pd(1,0)); }
+template<> EIGEN_STRONG_INLINE Packet4i plset<Packet4i>(const int& a) { return _mm_add_epi32(pset1<Packet4i>(a),_mm_set_epi32(3,2,1,0)); }
+
+template<> EIGEN_STRONG_INLINE Packet4f padd<Packet4f>(const Packet4f& a, const Packet4f& b) { return _mm_add_ps(a,b); }
+template<> EIGEN_STRONG_INLINE Packet2d padd<Packet2d>(const Packet2d& a, const Packet2d& b) { return _mm_add_pd(a,b); }
+template<> EIGEN_STRONG_INLINE Packet4i padd<Packet4i>(const Packet4i& a, const Packet4i& b) { return _mm_add_epi32(a,b); }
+
+template<> EIGEN_STRONG_INLINE Packet4f psub<Packet4f>(const Packet4f& a, const Packet4f& b) { return _mm_sub_ps(a,b); }
+template<> EIGEN_STRONG_INLINE Packet2d psub<Packet2d>(const Packet2d& a, const Packet2d& b) { return _mm_sub_pd(a,b); }
+template<> EIGEN_STRONG_INLINE Packet4i psub<Packet4i>(const Packet4i& a, const Packet4i& b) { return _mm_sub_epi32(a,b); }
+
+template<> EIGEN_STRONG_INLINE Packet4f pnegate(const Packet4f& a)
+{
+  const Packet4f mask = _mm_castsi128_ps(_mm_setr_epi32(0x80000000,0x80000000,0x80000000,0x80000000));
+  return _mm_xor_ps(a,mask);
+}
+template<> EIGEN_STRONG_INLINE Packet2d pnegate(const Packet2d& a)
+{
+  const Packet2d mask = _mm_castsi128_pd(_mm_setr_epi32(0x0,0x80000000,0x0,0x80000000));
+  return _mm_xor_pd(a,mask);
+}
+template<> EIGEN_STRONG_INLINE Packet4i pnegate(const Packet4i& a)
+{
+  return psub(Packet4i(_mm_setr_epi32(0,0,0,0)), a);
+}
+
+template<> EIGEN_STRONG_INLINE Packet4f pconj(const Packet4f& a) { return a; }
+template<> EIGEN_STRONG_INLINE Packet2d pconj(const Packet2d& a) { return a; }
+template<> EIGEN_STRONG_INLINE Packet4i pconj(const Packet4i& a) { return a; }
+
+template<> EIGEN_STRONG_INLINE Packet4f pmul<Packet4f>(const Packet4f& a, const Packet4f& b) { return _mm_mul_ps(a,b); }
+template<> EIGEN_STRONG_INLINE Packet2d pmul<Packet2d>(const Packet2d& a, const Packet2d& b) { return _mm_mul_pd(a,b); }
+template<> EIGEN_STRONG_INLINE Packet4i pmul<Packet4i>(const Packet4i& a, const Packet4i& b)
+{
+#ifdef EIGEN_VECTORIZE_SSE4_1
+  return _mm_mullo_epi32(a,b);
+#else
+  // this version is slightly faster than 4 scalar products
+  return vec4i_swizzle1(
+            vec4i_swizzle2(
+              _mm_mul_epu32(a,b),
+              _mm_mul_epu32(vec4i_swizzle1(a,1,0,3,2),
+                            vec4i_swizzle1(b,1,0,3,2)),
+              0,2,0,2),
+            0,2,1,3);
+#endif
+}
+
+template<> EIGEN_STRONG_INLINE Packet4f pdiv<Packet4f>(const Packet4f& a, const Packet4f& b) { return _mm_div_ps(a,b); }
+template<> EIGEN_STRONG_INLINE Packet2d pdiv<Packet2d>(const Packet2d& a, const Packet2d& b) { return _mm_div_pd(a,b); }
+
+// for some weird raisons, it has to be overloaded for packet of integers
+template<> EIGEN_STRONG_INLINE Packet4i pmadd(const Packet4i& a, const Packet4i& b, const Packet4i& c) { return padd(pmul(a,b), c); }
+#ifdef __FMA__
+template<> EIGEN_STRONG_INLINE Packet4f pmadd(const Packet4f& a, const Packet4f& b, const Packet4f& c) { return _mm_fmadd_ps(a,b,c); }
+template<> EIGEN_STRONG_INLINE Packet2d pmadd(const Packet2d& a, const Packet2d& b, const Packet2d& c) { return _mm_fmadd_pd(a,b,c); }
+#endif
+
+template<> EIGEN_STRONG_INLINE Packet4f pmin<Packet4f>(const Packet4f& a, const Packet4f& b) { return _mm_min_ps(a,b); }
+template<> EIGEN_STRONG_INLINE Packet2d pmin<Packet2d>(const Packet2d& a, const Packet2d& b) { return _mm_min_pd(a,b); }
+template<> EIGEN_STRONG_INLINE Packet4i pmin<Packet4i>(const Packet4i& a, const Packet4i& b)
+{
+#ifdef EIGEN_VECTORIZE_SSE4_1
+  return _mm_min_epi32(a,b);
+#else
+  // after some bench, this version *is* faster than a scalar implementation
+  Packet4i mask = _mm_cmplt_epi32(a,b);
+  return _mm_or_si128(_mm_and_si128(mask,a),_mm_andnot_si128(mask,b));
+#endif
+}
+
+template<> EIGEN_STRONG_INLINE Packet4f pmax<Packet4f>(const Packet4f& a, const Packet4f& b) { return _mm_max_ps(a,b); }
+template<> EIGEN_STRONG_INLINE Packet2d pmax<Packet2d>(const Packet2d& a, const Packet2d& b) { return _mm_max_pd(a,b); }
+template<> EIGEN_STRONG_INLINE Packet4i pmax<Packet4i>(const Packet4i& a, const Packet4i& b)
+{
+#ifdef EIGEN_VECTORIZE_SSE4_1
+  return _mm_max_epi32(a,b);
+#else
+  // after some bench, this version *is* faster than a scalar implementation
+  Packet4i mask = _mm_cmpgt_epi32(a,b);
+  return _mm_or_si128(_mm_and_si128(mask,a),_mm_andnot_si128(mask,b));
+#endif
+}
+
+#ifdef EIGEN_VECTORIZE_SSE4_1
+template<> EIGEN_STRONG_INLINE Packet4f pround<Packet4f>(const Packet4f& a) { return _mm_round_ps(a, 0); }
+template<> EIGEN_STRONG_INLINE Packet2d pround<Packet2d>(const Packet2d& a) { return _mm_round_pd(a, 0); }
+
+template<> EIGEN_STRONG_INLINE Packet4f pceil<Packet4f>(const Packet4f& a) { return _mm_ceil_ps(a); }
+template<> EIGEN_STRONG_INLINE Packet2d pceil<Packet2d>(const Packet2d& a) { return _mm_ceil_pd(a); }
+
+template<> EIGEN_STRONG_INLINE Packet4f pfloor<Packet4f>(const Packet4f& a) { return _mm_floor_ps(a); }
+template<> EIGEN_STRONG_INLINE Packet2d pfloor<Packet2d>(const Packet2d& a) { return _mm_floor_pd(a); }
+#endif
+
+template<> EIGEN_STRONG_INLINE Packet4f pand<Packet4f>(const Packet4f& a, const Packet4f& b) { return _mm_and_ps(a,b); }
+template<> EIGEN_STRONG_INLINE Packet2d pand<Packet2d>(const Packet2d& a, const Packet2d& b) { return _mm_and_pd(a,b); }
+template<> EIGEN_STRONG_INLINE Packet4i pand<Packet4i>(const Packet4i& a, const Packet4i& b) { return _mm_and_si128(a,b); }
+
+template<> EIGEN_STRONG_INLINE Packet4f por<Packet4f>(const Packet4f& a, const Packet4f& b) { return _mm_or_ps(a,b); }
+template<> EIGEN_STRONG_INLINE Packet2d por<Packet2d>(const Packet2d& a, const Packet2d& b) { return _mm_or_pd(a,b); }
+template<> EIGEN_STRONG_INLINE Packet4i por<Packet4i>(const Packet4i& a, const Packet4i& b) { return _mm_or_si128(a,b); }
+
+template<> EIGEN_STRONG_INLINE Packet4f pxor<Packet4f>(const Packet4f& a, const Packet4f& b) { return _mm_xor_ps(a,b); }
+template<> EIGEN_STRONG_INLINE Packet2d pxor<Packet2d>(const Packet2d& a, const Packet2d& b) { return _mm_xor_pd(a,b); }
+template<> EIGEN_STRONG_INLINE Packet4i pxor<Packet4i>(const Packet4i& a, const Packet4i& b) { return _mm_xor_si128(a,b); }
+
+template<> EIGEN_STRONG_INLINE Packet4f pandnot<Packet4f>(const Packet4f& a, const Packet4f& b) { return _mm_andnot_ps(a,b); }
+template<> EIGEN_STRONG_INLINE Packet2d pandnot<Packet2d>(const Packet2d& a, const Packet2d& b) { return _mm_andnot_pd(a,b); }
+template<> EIGEN_STRONG_INLINE Packet4i pandnot<Packet4i>(const Packet4i& a, const Packet4i& b) { return _mm_andnot_si128(a,b); }
+
+template<> EIGEN_STRONG_INLINE Packet4f pload<Packet4f>(const float*   from) { EIGEN_DEBUG_ALIGNED_LOAD return _mm_load_ps(from); }
+template<> EIGEN_STRONG_INLINE Packet2d pload<Packet2d>(const double*  from) { EIGEN_DEBUG_ALIGNED_LOAD return _mm_load_pd(from); }
+template<> EIGEN_STRONG_INLINE Packet4i pload<Packet4i>(const int*     from) { EIGEN_DEBUG_ALIGNED_LOAD return _mm_load_si128(reinterpret_cast<const __m128i*>(from)); }
+
+#if EIGEN_COMP_MSVC
+  template<> EIGEN_STRONG_INLINE Packet4f ploadu<Packet4f>(const float*  from) {
+    EIGEN_DEBUG_UNALIGNED_LOAD
+    #if (EIGEN_COMP_MSVC==1600)
+    // NOTE Some version of MSVC10 generates bad code when using _mm_loadu_ps
+    // (i.e., it does not generate an unaligned load!!
+    __m128 res = _mm_loadl_pi(_mm_set1_ps(0.0f), (const __m64*)(from));
+    res = _mm_loadh_pi(res, (const __m64*)(from+2));
+    return res;
+    #else
+    return _mm_loadu_ps(from);
+    #endif
+  }
+#else
+// NOTE: with the code below, MSVC's compiler crashes!
+
+template<> EIGEN_STRONG_INLINE Packet4f ploadu<Packet4f>(const float* from)
+{
+  EIGEN_DEBUG_UNALIGNED_LOAD
+  return _mm_loadu_ps(from);
+}
+#endif
+
+template<> EIGEN_STRONG_INLINE Packet2d ploadu<Packet2d>(const double* from)
+{
+  EIGEN_DEBUG_UNALIGNED_LOAD
+  return _mm_loadu_pd(from);
+}
+template<> EIGEN_STRONG_INLINE Packet4i ploadu<Packet4i>(const int* from)
+{
+  EIGEN_DEBUG_UNALIGNED_LOAD
+  return _mm_loadu_si128(reinterpret_cast<const __m128i*>(from));
+}
+
+
+template<> EIGEN_STRONG_INLINE Packet4f ploaddup<Packet4f>(const float*   from)
+{
+  return vec4f_swizzle1(_mm_castpd_ps(_mm_load_sd(reinterpret_cast<const double*>(from))), 0, 0, 1, 1);
+}
+template<> EIGEN_STRONG_INLINE Packet2d ploaddup<Packet2d>(const double*  from)
+{ return pset1<Packet2d>(from[0]); }
+template<> EIGEN_STRONG_INLINE Packet4i ploaddup<Packet4i>(const int*     from)
+{
+  Packet4i tmp;
+  tmp = _mm_loadl_epi64(reinterpret_cast<const __m128i*>(from));
+  return vec4i_swizzle1(tmp, 0, 0, 1, 1);
+}
+
+template<> EIGEN_STRONG_INLINE void pstore<float>(float*   to, const Packet4f& from) { EIGEN_DEBUG_ALIGNED_STORE _mm_store_ps(to, from); }
+template<> EIGEN_STRONG_INLINE void pstore<double>(double* to, const Packet2d& from) { EIGEN_DEBUG_ALIGNED_STORE _mm_store_pd(to, from); }
+template<> EIGEN_STRONG_INLINE void pstore<int>(int*       to, const Packet4i& from) { EIGEN_DEBUG_ALIGNED_STORE _mm_store_si128(reinterpret_cast<__m128i*>(to), from); }
+
+template<> EIGEN_STRONG_INLINE void pstoreu<double>(double* to, const Packet2d& from) { EIGEN_DEBUG_UNALIGNED_STORE _mm_storeu_pd(to, from); }
+template<> EIGEN_STRONG_INLINE void pstoreu<float>(float*   to, const Packet4f& from) { EIGEN_DEBUG_UNALIGNED_STORE _mm_storeu_ps(to, from); }
+template<> EIGEN_STRONG_INLINE void pstoreu<int>(int*       to, const Packet4i& from) { EIGEN_DEBUG_UNALIGNED_STORE _mm_storeu_si128(reinterpret_cast<__m128i*>(to), from); }
+
+template<> EIGEN_DEVICE_FUNC inline Packet4f pgather<float, Packet4f>(const float* from, Index stride)
+{
+ return _mm_set_ps(from[3*stride], from[2*stride], from[1*stride], from[0*stride]);
+}
+template<> EIGEN_DEVICE_FUNC inline Packet2d pgather<double, Packet2d>(const double* from, Index stride)
+{
+ return _mm_set_pd(from[1*stride], from[0*stride]);
+}
+template<> EIGEN_DEVICE_FUNC inline Packet4i pgather<int, Packet4i>(const int* from, Index stride)
+{
+ return _mm_set_epi32(from[3*stride], from[2*stride], from[1*stride], from[0*stride]);
+ }
+
+template<> EIGEN_DEVICE_FUNC inline void pscatter<float, Packet4f>(float* to, const Packet4f& from, Index stride)
+{
+  to[stride*0] = _mm_cvtss_f32(from);
+  to[stride*1] = _mm_cvtss_f32(_mm_shuffle_ps(from, from, 1));
+  to[stride*2] = _mm_cvtss_f32(_mm_shuffle_ps(from, from, 2));
+  to[stride*3] = _mm_cvtss_f32(_mm_shuffle_ps(from, from, 3));
+}
+template<> EIGEN_DEVICE_FUNC inline void pscatter<double, Packet2d>(double* to, const Packet2d& from, Index stride)
+{
+  to[stride*0] = _mm_cvtsd_f64(from);
+  to[stride*1] = _mm_cvtsd_f64(_mm_shuffle_pd(from, from, 1));
+}
+template<> EIGEN_DEVICE_FUNC inline void pscatter<int, Packet4i>(int* to, const Packet4i& from, Index stride)
+{
+  to[stride*0] = _mm_cvtsi128_si32(from);
+  to[stride*1] = _mm_cvtsi128_si32(_mm_shuffle_epi32(from, 1));
+  to[stride*2] = _mm_cvtsi128_si32(_mm_shuffle_epi32(from, 2));
+  to[stride*3] = _mm_cvtsi128_si32(_mm_shuffle_epi32(from, 3));
+}
+
+// some compilers might be tempted to perform multiple moves instead of using a vector path.
+template<> EIGEN_STRONG_INLINE void pstore1<Packet4f>(float* to, const float& a)
+{
+  Packet4f pa = _mm_set_ss(a);
+  pstore(to, Packet4f(vec4f_swizzle1(pa,0,0,0,0)));
+}
+// some compilers might be tempted to perform multiple moves instead of using a vector path.
+template<> EIGEN_STRONG_INLINE void pstore1<Packet2d>(double* to, const double& a)
+{
+  Packet2d pa = _mm_set_sd(a);
+  pstore(to, Packet2d(vec2d_swizzle1(pa,0,0)));
+}
+
+#if EIGEN_COMP_PGI
+typedef const void * SsePrefetchPtrType;
+#else
+typedef const char * SsePrefetchPtrType;
+#endif
+
+#ifndef EIGEN_VECTORIZE_AVX
+template<> EIGEN_STRONG_INLINE void prefetch<float>(const float*   addr) { _mm_prefetch((SsePrefetchPtrType)(addr), _MM_HINT_T0); }
+template<> EIGEN_STRONG_INLINE void prefetch<double>(const double* addr) { _mm_prefetch((SsePrefetchPtrType)(addr), _MM_HINT_T0); }
+template<> EIGEN_STRONG_INLINE void prefetch<int>(const int*       addr) { _mm_prefetch((SsePrefetchPtrType)(addr), _MM_HINT_T0); }
+#endif
+
+#if EIGEN_COMP_MSVC_STRICT && EIGEN_OS_WIN64
+// The temporary variable fixes an internal compilation error in vs <= 2008 and a wrong-result bug in vs 2010
+// Direct of the struct members fixed bug #62.
+template<> EIGEN_STRONG_INLINE float  pfirst<Packet4f>(const Packet4f& a) { return a.m128_f32[0]; }
+template<> EIGEN_STRONG_INLINE double pfirst<Packet2d>(const Packet2d& a) { return a.m128d_f64[0]; }
+template<> EIGEN_STRONG_INLINE int    pfirst<Packet4i>(const Packet4i& a) { int x = _mm_cvtsi128_si32(a); return x; }
+#elif EIGEN_COMP_MSVC_STRICT
+// The temporary variable fixes an internal compilation error in vs <= 2008 and a wrong-result bug in vs 2010
+template<> EIGEN_STRONG_INLINE float  pfirst<Packet4f>(const Packet4f& a) { float x = _mm_cvtss_f32(a); return x; }
+template<> EIGEN_STRONG_INLINE double pfirst<Packet2d>(const Packet2d& a) { double x = _mm_cvtsd_f64(a); return x; }
+template<> EIGEN_STRONG_INLINE int    pfirst<Packet4i>(const Packet4i& a) { int x = _mm_cvtsi128_si32(a); return x; }
+#else
+template<> EIGEN_STRONG_INLINE float  pfirst<Packet4f>(const Packet4f& a) { return _mm_cvtss_f32(a); }
+template<> EIGEN_STRONG_INLINE double pfirst<Packet2d>(const Packet2d& a) { return _mm_cvtsd_f64(a); }
+template<> EIGEN_STRONG_INLINE int    pfirst<Packet4i>(const Packet4i& a) { return _mm_cvtsi128_si32(a); }
+#endif
+
+template<> EIGEN_STRONG_INLINE Packet4f preverse(const Packet4f& a)
+{ return _mm_shuffle_ps(a,a,0x1B); }
+template<> EIGEN_STRONG_INLINE Packet2d preverse(const Packet2d& a)
+{ return _mm_shuffle_pd(a,a,0x1); }
+template<> EIGEN_STRONG_INLINE Packet4i preverse(const Packet4i& a)
+{ return _mm_shuffle_epi32(a,0x1B); }
+
+template<> EIGEN_STRONG_INLINE Packet4f pabs(const Packet4f& a)
+{
+  const Packet4f mask = _mm_castsi128_ps(_mm_setr_epi32(0x7FFFFFFF,0x7FFFFFFF,0x7FFFFFFF,0x7FFFFFFF));
+  return _mm_and_ps(a,mask);
+}
+template<> EIGEN_STRONG_INLINE Packet2d pabs(const Packet2d& a)
+{
+  const Packet2d mask = _mm_castsi128_pd(_mm_setr_epi32(0xFFFFFFFF,0x7FFFFFFF,0xFFFFFFFF,0x7FFFFFFF));
+  return _mm_and_pd(a,mask);
+}
+template<> EIGEN_STRONG_INLINE Packet4i pabs(const Packet4i& a)
+{
+  #ifdef EIGEN_VECTORIZE_SSSE3
+  return _mm_abs_epi32(a);
+  #else
+  Packet4i aux = _mm_srai_epi32(a,31);
+  return _mm_sub_epi32(_mm_xor_si128(a,aux),aux);
+  #endif
+}
+
+// with AVX, the default implementations based on pload1 are faster
+#ifndef __AVX__
+template<> EIGEN_STRONG_INLINE void
+pbroadcast4<Packet4f>(const float *a,
+                      Packet4f& a0, Packet4f& a1, Packet4f& a2, Packet4f& a3)
+{
+  a3 = pload<Packet4f>(a);
+  a0 = vec4f_swizzle1(a3, 0,0,0,0);
+  a1 = vec4f_swizzle1(a3, 1,1,1,1);
+  a2 = vec4f_swizzle1(a3, 2,2,2,2);
+  a3 = vec4f_swizzle1(a3, 3,3,3,3);
+}
+template<> EIGEN_STRONG_INLINE void
+pbroadcast4<Packet2d>(const double *a,
+                      Packet2d& a0, Packet2d& a1, Packet2d& a2, Packet2d& a3)
+{
+#ifdef EIGEN_VECTORIZE_SSE3
+  a0 = _mm_loaddup_pd(a+0);
+  a1 = _mm_loaddup_pd(a+1);
+  a2 = _mm_loaddup_pd(a+2);
+  a3 = _mm_loaddup_pd(a+3);
+#else
+  a1 = pload<Packet2d>(a);
+  a0 = vec2d_swizzle1(a1, 0,0);
+  a1 = vec2d_swizzle1(a1, 1,1);
+  a3 = pload<Packet2d>(a+2);
+  a2 = vec2d_swizzle1(a3, 0,0);
+  a3 = vec2d_swizzle1(a3, 1,1);
+#endif
+}
+#endif
+
+EIGEN_STRONG_INLINE void punpackp(Packet4f* vecs)
+{
+  vecs[1] = _mm_castsi128_ps(_mm_shuffle_epi32(_mm_castps_si128(vecs[0]), 0x55));
+  vecs[2] = _mm_castsi128_ps(_mm_shuffle_epi32(_mm_castps_si128(vecs[0]), 0xAA));
+  vecs[3] = _mm_castsi128_ps(_mm_shuffle_epi32(_mm_castps_si128(vecs[0]), 0xFF));
+  vecs[0] = _mm_castsi128_ps(_mm_shuffle_epi32(_mm_castps_si128(vecs[0]), 0x00));
+}
+
+#ifdef EIGEN_VECTORIZE_SSE3
+template<> EIGEN_STRONG_INLINE Packet4f preduxp<Packet4f>(const Packet4f* vecs)
+{
+  return _mm_hadd_ps(_mm_hadd_ps(vecs[0], vecs[1]),_mm_hadd_ps(vecs[2], vecs[3]));
+}
+
+template<> EIGEN_STRONG_INLINE Packet2d preduxp<Packet2d>(const Packet2d* vecs)
+{
+  return _mm_hadd_pd(vecs[0], vecs[1]);
+}
+
+#else
+template<> EIGEN_STRONG_INLINE Packet4f preduxp<Packet4f>(const Packet4f* vecs)
+{
+  Packet4f tmp0, tmp1, tmp2;
+  tmp0 = _mm_unpacklo_ps(vecs[0], vecs[1]);
+  tmp1 = _mm_unpackhi_ps(vecs[0], vecs[1]);
+  tmp2 = _mm_unpackhi_ps(vecs[2], vecs[3]);
+  tmp0 = _mm_add_ps(tmp0, tmp1);
+  tmp1 = _mm_unpacklo_ps(vecs[2], vecs[3]);
+  tmp1 = _mm_add_ps(tmp1, tmp2);
+  tmp2 = _mm_movehl_ps(tmp1, tmp0);
+  tmp0 = _mm_movelh_ps(tmp0, tmp1);
+  return _mm_add_ps(tmp0, tmp2);
+}
+
+template<> EIGEN_STRONG_INLINE Packet2d preduxp<Packet2d>(const Packet2d* vecs)
+{
+  return _mm_add_pd(_mm_unpacklo_pd(vecs[0], vecs[1]), _mm_unpackhi_pd(vecs[0], vecs[1]));
+}
+#endif  // SSE3
+
+template<> EIGEN_STRONG_INLINE float predux<Packet4f>(const Packet4f& a)
+{
+  // Disable SSE3 _mm_hadd_pd that is extremely slow on all existing Intel's architectures
+  // (from Nehalem to Haswell)
+// #ifdef EIGEN_VECTORIZE_SSE3
+//   Packet4f tmp = _mm_add_ps(a, vec4f_swizzle1(a,2,3,2,3));
+//   return pfirst<Packet4f>(_mm_hadd_ps(tmp, tmp));
+// #else
+  Packet4f tmp = _mm_add_ps(a, _mm_movehl_ps(a,a));
+  return pfirst<Packet4f>(_mm_add_ss(tmp, _mm_shuffle_ps(tmp,tmp, 1)));
+// #endif
+}
+
+template<> EIGEN_STRONG_INLINE double predux<Packet2d>(const Packet2d& a)
+{
+  // Disable SSE3 _mm_hadd_pd that is extremely slow on all existing Intel's architectures
+  // (from Nehalem to Haswell)
+// #ifdef EIGEN_VECTORIZE_SSE3
+//   return pfirst<Packet2d>(_mm_hadd_pd(a, a));
+// #else
+  return pfirst<Packet2d>(_mm_add_sd(a, _mm_unpackhi_pd(a,a)));
+// #endif
+}
+
+#ifdef EIGEN_VECTORIZE_SSSE3
+template<> EIGEN_STRONG_INLINE Packet4i preduxp<Packet4i>(const Packet4i* vecs)
+{
+  return _mm_hadd_epi32(_mm_hadd_epi32(vecs[0], vecs[1]),_mm_hadd_epi32(vecs[2], vecs[3]));
+}
+template<> EIGEN_STRONG_INLINE int predux<Packet4i>(const Packet4i& a)
+{
+  Packet4i tmp0 = _mm_hadd_epi32(a,a);
+  return pfirst<Packet4i>(_mm_hadd_epi32(tmp0,tmp0));
+}
+#else
+template<> EIGEN_STRONG_INLINE int predux<Packet4i>(const Packet4i& a)
+{
+  Packet4i tmp = _mm_add_epi32(a, _mm_unpackhi_epi64(a,a));
+  return pfirst(tmp) + pfirst<Packet4i>(_mm_shuffle_epi32(tmp, 1));
+}
+
+template<> EIGEN_STRONG_INLINE Packet4i preduxp<Packet4i>(const Packet4i* vecs)
+{
+  Packet4i tmp0, tmp1, tmp2;
+  tmp0 = _mm_unpacklo_epi32(vecs[0], vecs[1]);
+  tmp1 = _mm_unpackhi_epi32(vecs[0], vecs[1]);
+  tmp2 = _mm_unpackhi_epi32(vecs[2], vecs[3]);
+  tmp0 = _mm_add_epi32(tmp0, tmp1);
+  tmp1 = _mm_unpacklo_epi32(vecs[2], vecs[3]);
+  tmp1 = _mm_add_epi32(tmp1, tmp2);
+  tmp2 = _mm_unpacklo_epi64(tmp0, tmp1);
+  tmp0 = _mm_unpackhi_epi64(tmp0, tmp1);
+  return _mm_add_epi32(tmp0, tmp2);
+}
+#endif
+// Other reduction functions:
+
+// mul
+template<> EIGEN_STRONG_INLINE float predux_mul<Packet4f>(const Packet4f& a)
+{
+  Packet4f tmp = _mm_mul_ps(a, _mm_movehl_ps(a,a));
+  return pfirst<Packet4f>(_mm_mul_ss(tmp, _mm_shuffle_ps(tmp,tmp, 1)));
+}
+template<> EIGEN_STRONG_INLINE double predux_mul<Packet2d>(const Packet2d& a)
+{
+  return pfirst<Packet2d>(_mm_mul_sd(a, _mm_unpackhi_pd(a,a)));
+}
+template<> EIGEN_STRONG_INLINE int predux_mul<Packet4i>(const Packet4i& a)
+{
+  // after some experiments, it is seems this is the fastest way to implement it
+  // for GCC (eg., reusing pmul is very slow !)
+  // TODO try to call _mm_mul_epu32 directly
+  EIGEN_ALIGN16 int aux[4];
+  pstore(aux, a);
+  return  (aux[0] * aux[1]) * (aux[2] * aux[3]);;
+}
+
+// min
+template<> EIGEN_STRONG_INLINE float predux_min<Packet4f>(const Packet4f& a)
+{
+  Packet4f tmp = _mm_min_ps(a, _mm_movehl_ps(a,a));
+  return pfirst<Packet4f>(_mm_min_ss(tmp, _mm_shuffle_ps(tmp,tmp, 1)));
+}
+template<> EIGEN_STRONG_INLINE double predux_min<Packet2d>(const Packet2d& a)
+{
+  return pfirst<Packet2d>(_mm_min_sd(a, _mm_unpackhi_pd(a,a)));
+}
+template<> EIGEN_STRONG_INLINE int predux_min<Packet4i>(const Packet4i& a)
+{
+#ifdef EIGEN_VECTORIZE_SSE4_1
+  Packet4i tmp = _mm_min_epi32(a, _mm_shuffle_epi32(a, _MM_SHUFFLE(0,0,3,2)));
+  return pfirst<Packet4i>(_mm_min_epi32(tmp,_mm_shuffle_epi32(tmp, 1)));
+#else
+  // after some experiments, it is seems this is the fastest way to implement it
+  // for GCC (eg., it does not like using std::min after the pstore !!)
+  EIGEN_ALIGN16 int aux[4];
+  pstore(aux, a);
+  int aux0 = aux[0]<aux[1] ? aux[0] : aux[1];
+  int aux2 = aux[2]<aux[3] ? aux[2] : aux[3];
+  return aux0<aux2 ? aux0 : aux2;
+#endif // EIGEN_VECTORIZE_SSE4_1
+}
+
+// max
+template<> EIGEN_STRONG_INLINE float predux_max<Packet4f>(const Packet4f& a)
+{
+  Packet4f tmp = _mm_max_ps(a, _mm_movehl_ps(a,a));
+  return pfirst<Packet4f>(_mm_max_ss(tmp, _mm_shuffle_ps(tmp,tmp, 1)));
+}
+template<> EIGEN_STRONG_INLINE double predux_max<Packet2d>(const Packet2d& a)
+{
+  return pfirst<Packet2d>(_mm_max_sd(a, _mm_unpackhi_pd(a,a)));
+}
+template<> EIGEN_STRONG_INLINE int predux_max<Packet4i>(const Packet4i& a)
+{
+#ifdef EIGEN_VECTORIZE_SSE4_1
+  Packet4i tmp = _mm_max_epi32(a, _mm_shuffle_epi32(a, _MM_SHUFFLE(0,0,3,2)));
+  return pfirst<Packet4i>(_mm_max_epi32(tmp,_mm_shuffle_epi32(tmp, 1)));
+#else
+  // after some experiments, it is seems this is the fastest way to implement it
+  // for GCC (eg., it does not like using std::min after the pstore !!)
+  EIGEN_ALIGN16 int aux[4];
+  pstore(aux, a);
+  int aux0 = aux[0]>aux[1] ? aux[0] : aux[1];
+  int aux2 = aux[2]>aux[3] ? aux[2] : aux[3];
+  return aux0>aux2 ? aux0 : aux2;
+#endif // EIGEN_VECTORIZE_SSE4_1
+}
+
+#if EIGEN_COMP_GNUC
+// template <> EIGEN_STRONG_INLINE Packet4f pmadd(const Packet4f&  a, const Packet4f&  b, const Packet4f&  c)
+// {
+//   Packet4f res = b;
+//   asm("mulps %[a], %[b] \n\taddps %[c], %[b]" : [b] "+x" (res) : [a] "x" (a), [c] "x" (c));
+//   return res;
+// }
+// EIGEN_STRONG_INLINE Packet4i _mm_alignr_epi8(const Packet4i&  a, const Packet4i&  b, const int i)
+// {
+//   Packet4i res = a;
+//   asm("palignr %[i], %[a], %[b] " : [b] "+x" (res) : [a] "x" (a), [i] "i" (i));
+//   return res;
+// }
+#endif
+
+#ifdef EIGEN_VECTORIZE_SSSE3
+// SSSE3 versions
+template<int Offset>
+struct palign_impl<Offset,Packet4f>
+{
+  static EIGEN_STRONG_INLINE void run(Packet4f& first, const Packet4f& second)
+  {
+    if (Offset!=0)
+      first = _mm_castsi128_ps(_mm_alignr_epi8(_mm_castps_si128(second), _mm_castps_si128(first), Offset*4));
+  }
+};
+
+template<int Offset>
+struct palign_impl<Offset,Packet4i>
+{
+  static EIGEN_STRONG_INLINE void run(Packet4i& first, const Packet4i& second)
+  {
+    if (Offset!=0)
+      first = _mm_alignr_epi8(second,first, Offset*4);
+  }
+};
+
+template<int Offset>
+struct palign_impl<Offset,Packet2d>
+{
+  static EIGEN_STRONG_INLINE void run(Packet2d& first, const Packet2d& second)
+  {
+    if (Offset==1)
+      first = _mm_castsi128_pd(_mm_alignr_epi8(_mm_castpd_si128(second), _mm_castpd_si128(first), 8));
+  }
+};
+#else
+// SSE2 versions
+template<int Offset>
+struct palign_impl<Offset,Packet4f>
+{
+  static EIGEN_STRONG_INLINE void run(Packet4f& first, const Packet4f& second)
+  {
+    if (Offset==1)
+    {
+      first = _mm_move_ss(first,second);
+      first = _mm_castsi128_ps(_mm_shuffle_epi32(_mm_castps_si128(first),0x39));
+    }
+    else if (Offset==2)
+    {
+      first = _mm_movehl_ps(first,first);
+      first = _mm_movelh_ps(first,second);
+    }
+    else if (Offset==3)
+    {
+      first = _mm_move_ss(first,second);
+      first = _mm_shuffle_ps(first,second,0x93);
+    }
+  }
+};
+
+template<int Offset>
+struct palign_impl<Offset,Packet4i>
+{
+  static EIGEN_STRONG_INLINE void run(Packet4i& first, const Packet4i& second)
+  {
+    if (Offset==1)
+    {
+      first = _mm_castps_si128(_mm_move_ss(_mm_castsi128_ps(first),_mm_castsi128_ps(second)));
+      first = _mm_shuffle_epi32(first,0x39);
+    }
+    else if (Offset==2)
+    {
+      first = _mm_castps_si128(_mm_movehl_ps(_mm_castsi128_ps(first),_mm_castsi128_ps(first)));
+      first = _mm_castps_si128(_mm_movelh_ps(_mm_castsi128_ps(first),_mm_castsi128_ps(second)));
+    }
+    else if (Offset==3)
+    {
+      first = _mm_castps_si128(_mm_move_ss(_mm_castsi128_ps(first),_mm_castsi128_ps(second)));
+      first = _mm_castps_si128(_mm_shuffle_ps(_mm_castsi128_ps(first),_mm_castsi128_ps(second),0x93));
+    }
+  }
+};
+
+template<int Offset>
+struct palign_impl<Offset,Packet2d>
+{
+  static EIGEN_STRONG_INLINE void run(Packet2d& first, const Packet2d& second)
+  {
+    if (Offset==1)
+    {
+      first = _mm_castps_pd(_mm_movehl_ps(_mm_castpd_ps(first),_mm_castpd_ps(first)));
+      first = _mm_castps_pd(_mm_movelh_ps(_mm_castpd_ps(first),_mm_castpd_ps(second)));
+    }
+  }
+};
+#endif
+
+EIGEN_DEVICE_FUNC inline void
+ptranspose(PacketBlock<Packet4f,4>& kernel) {
+  _MM_TRANSPOSE4_PS(kernel.packet[0], kernel.packet[1], kernel.packet[2], kernel.packet[3]);
+}
+
+EIGEN_DEVICE_FUNC inline void
+ptranspose(PacketBlock<Packet2d,2>& kernel) {
+  __m128d tmp = _mm_unpackhi_pd(kernel.packet[0], kernel.packet[1]);
+  kernel.packet[0] = _mm_unpacklo_pd(kernel.packet[0], kernel.packet[1]);
+  kernel.packet[1] = tmp;
+}
+
+EIGEN_DEVICE_FUNC inline void
+ptranspose(PacketBlock<Packet4i,4>& kernel) {
+  __m128i T0 = _mm_unpacklo_epi32(kernel.packet[0], kernel.packet[1]);
+  __m128i T1 = _mm_unpacklo_epi32(kernel.packet[2], kernel.packet[3]);
+  __m128i T2 = _mm_unpackhi_epi32(kernel.packet[0], kernel.packet[1]);
+  __m128i T3 = _mm_unpackhi_epi32(kernel.packet[2], kernel.packet[3]);
+
+  kernel.packet[0] = _mm_unpacklo_epi64(T0, T1);
+  kernel.packet[1] = _mm_unpackhi_epi64(T0, T1);
+  kernel.packet[2] = _mm_unpacklo_epi64(T2, T3);
+  kernel.packet[3] = _mm_unpackhi_epi64(T2, T3);
+}
+
+template<> EIGEN_STRONG_INLINE Packet4i pblend(const Selector<4>& ifPacket, const Packet4i& thenPacket, const Packet4i& elsePacket) {
+  const __m128i zero = _mm_setzero_si128();
+  const __m128i select = _mm_set_epi32(ifPacket.select[3], ifPacket.select[2], ifPacket.select[1], ifPacket.select[0]);
+  __m128i false_mask = _mm_cmpeq_epi32(select, zero);
+#ifdef EIGEN_VECTORIZE_SSE4_1
+  return _mm_blendv_epi8(thenPacket, elsePacket, false_mask);
+#else
+  return _mm_or_si128(_mm_andnot_si128(false_mask, thenPacket), _mm_and_si128(false_mask, elsePacket));
+#endif
+}
+template<> EIGEN_STRONG_INLINE Packet4f pblend(const Selector<4>& ifPacket, const Packet4f& thenPacket, const Packet4f& elsePacket) {
+  const __m128 zero = _mm_setzero_ps();
+  const __m128 select = _mm_set_ps(ifPacket.select[3], ifPacket.select[2], ifPacket.select[1], ifPacket.select[0]);
+  __m128 false_mask = _mm_cmpeq_ps(select, zero);
+#ifdef EIGEN_VECTORIZE_SSE4_1
+  return _mm_blendv_ps(thenPacket, elsePacket, false_mask);
+#else
+  return _mm_or_ps(_mm_andnot_ps(false_mask, thenPacket), _mm_and_ps(false_mask, elsePacket));
+#endif
+}
+template<> EIGEN_STRONG_INLINE Packet2d pblend(const Selector<2>& ifPacket, const Packet2d& thenPacket, const Packet2d& elsePacket) {
+  const __m128d zero = _mm_setzero_pd();
+  const __m128d select = _mm_set_pd(ifPacket.select[1], ifPacket.select[0]);
+  __m128d false_mask = _mm_cmpeq_pd(select, zero);
+#ifdef EIGEN_VECTORIZE_SSE4_1
+  return _mm_blendv_pd(thenPacket, elsePacket, false_mask);
+#else
+  return _mm_or_pd(_mm_andnot_pd(false_mask, thenPacket), _mm_and_pd(false_mask, elsePacket));
+#endif
+}
+
+template<> EIGEN_STRONG_INLINE Packet4f pinsertfirst(const Packet4f& a, float b)
+{
+#ifdef EIGEN_VECTORIZE_SSE4_1
+  return _mm_blend_ps(a,pset1<Packet4f>(b),1);
+#else
+  return _mm_move_ss(a, _mm_load_ss(&b));
+#endif
+}
+
+template<> EIGEN_STRONG_INLINE Packet2d pinsertfirst(const Packet2d& a, double b)
+{
+#ifdef EIGEN_VECTORIZE_SSE4_1
+  return _mm_blend_pd(a,pset1<Packet2d>(b),1);
+#else
+  return _mm_move_sd(a, _mm_load_sd(&b));
+#endif
+}
+
+template<> EIGEN_STRONG_INLINE Packet4f pinsertlast(const Packet4f& a, float b)
+{
+#ifdef EIGEN_VECTORIZE_SSE4_1
+  return _mm_blend_ps(a,pset1<Packet4f>(b),(1<<3));
+#else
+  const Packet4f mask = _mm_castsi128_ps(_mm_setr_epi32(0x0,0x0,0x0,0xFFFFFFFF));
+  return _mm_or_ps(_mm_andnot_ps(mask, a), _mm_and_ps(mask, pset1<Packet4f>(b)));
+#endif
+}
+
+template<> EIGEN_STRONG_INLINE Packet2d pinsertlast(const Packet2d& a, double b)
+{
+#ifdef EIGEN_VECTORIZE_SSE4_1
+  return _mm_blend_pd(a,pset1<Packet2d>(b),(1<<1));
+#else
+  const Packet2d mask = _mm_castsi128_pd(_mm_setr_epi32(0x0,0x0,0xFFFFFFFF,0xFFFFFFFF));
+  return _mm_or_pd(_mm_andnot_pd(mask, a), _mm_and_pd(mask, pset1<Packet2d>(b)));
+#endif
+}
+
+// Scalar path for pmadd with FMA to ensure consistency with vectorized path.
+#ifdef __FMA__
+template<> EIGEN_STRONG_INLINE float pmadd(const float& a, const float& b, const float& c) {
+  return ::fmaf(a,b,c);
+}
+template<> EIGEN_STRONG_INLINE double pmadd(const double& a, const double& b, const double& c) {
+  return ::fma(a,b,c);
+}
+#endif
+
+} // end namespace internal
+
+} // end namespace Eigen
+
+#if EIGEN_COMP_PGI
+// PGI++ does not define the following intrinsics in C++ mode.
+static inline __m128  _mm_castpd_ps   (__m128d x) { return reinterpret_cast<__m128&>(x);  }
+static inline __m128i _mm_castpd_si128(__m128d x) { return reinterpret_cast<__m128i&>(x); }
+static inline __m128d _mm_castps_pd   (__m128  x) { return reinterpret_cast<__m128d&>(x); }
+static inline __m128i _mm_castps_si128(__m128  x) { return reinterpret_cast<__m128i&>(x); }
+static inline __m128  _mm_castsi128_ps(__m128i x) { return reinterpret_cast<__m128&>(x);  }
+static inline __m128d _mm_castsi128_pd(__m128i x) { return reinterpret_cast<__m128d&>(x); }
+#endif
+
+#endif // EIGEN_PACKET_MATH_SSE_H
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/arch/SSE/MathFunctions.h
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/arch/SSE/MathFunctions.h	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/arch/SSE/MathFunctions.h	(revision 3761)
@@ -0,0 +1,562 @@
+// This file is part of Eigen, a lightweight C++ template library
+// for linear algebra.
+//
+// Copyright (C) 2007 Julien Pommier
+// Copyright (C) 2009 Gael Guennebaud <gael.guennebaud@inria.fr>
+//
+// This Source Code Form is subject to the terms of the Mozilla
+// Public License v. 2.0. If a copy of the MPL was not distributed
+// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
+
+/* The sin, cos, exp, and log functions of this file come from
+ * Julien Pommier's sse math library: http://gruntthepeon.free.fr/ssemath/
+ */
+
+#ifndef EIGEN_MATH_FUNCTIONS_SSE_H
+#define EIGEN_MATH_FUNCTIONS_SSE_H
+
+namespace Eigen {
+
+namespace internal {
+
+template<> EIGEN_DEFINE_FUNCTION_ALLOWING_MULTIPLE_DEFINITIONS EIGEN_UNUSED
+Packet4f plog<Packet4f>(const Packet4f& _x)
+{
+  Packet4f x = _x;
+  _EIGEN_DECLARE_CONST_Packet4f(1 , 1.0f);
+  _EIGEN_DECLARE_CONST_Packet4f(half, 0.5f);
+  _EIGEN_DECLARE_CONST_Packet4i(0x7f, 0x7f);
+
+  _EIGEN_DECLARE_CONST_Packet4f_FROM_INT(inv_mant_mask, ~0x7f800000);
+
+  /* the smallest non denormalized float number */
+  _EIGEN_DECLARE_CONST_Packet4f_FROM_INT(min_norm_pos,  0x00800000);
+  _EIGEN_DECLARE_CONST_Packet4f_FROM_INT(minus_inf,     0xff800000);//-1.f/0.f);
+
+  /* natural logarithm computed for 4 simultaneous float
+    return NaN for x <= 0
+  */
+  _EIGEN_DECLARE_CONST_Packet4f(cephes_SQRTHF, 0.707106781186547524f);
+  _EIGEN_DECLARE_CONST_Packet4f(cephes_log_p0, 7.0376836292E-2f);
+  _EIGEN_DECLARE_CONST_Packet4f(cephes_log_p1, - 1.1514610310E-1f);
+  _EIGEN_DECLARE_CONST_Packet4f(cephes_log_p2, 1.1676998740E-1f);
+  _EIGEN_DECLARE_CONST_Packet4f(cephes_log_p3, - 1.2420140846E-1f);
+  _EIGEN_DECLARE_CONST_Packet4f(cephes_log_p4, + 1.4249322787E-1f);
+  _EIGEN_DECLARE_CONST_Packet4f(cephes_log_p5, - 1.6668057665E-1f);
+  _EIGEN_DECLARE_CONST_Packet4f(cephes_log_p6, + 2.0000714765E-1f);
+  _EIGEN_DECLARE_CONST_Packet4f(cephes_log_p7, - 2.4999993993E-1f);
+  _EIGEN_DECLARE_CONST_Packet4f(cephes_log_p8, + 3.3333331174E-1f);
+  _EIGEN_DECLARE_CONST_Packet4f(cephes_log_q1, -2.12194440e-4f);
+  _EIGEN_DECLARE_CONST_Packet4f(cephes_log_q2, 0.693359375f);
+
+
+  Packet4i emm0;
+
+  Packet4f invalid_mask = _mm_cmpnge_ps(x, _mm_setzero_ps()); // not greater equal is true if x is NaN
+  Packet4f iszero_mask = _mm_cmpeq_ps(x, _mm_setzero_ps());
+
+  x = pmax(x, p4f_min_norm_pos);  /* cut off denormalized stuff */
+  emm0 = _mm_srli_epi32(_mm_castps_si128(x), 23);
+
+  /* keep only the fractional part */
+  x = _mm_and_ps(x, p4f_inv_mant_mask);
+  x = _mm_or_ps(x, p4f_half);
+
+  emm0 = _mm_sub_epi32(emm0, p4i_0x7f);
+  Packet4f e = padd(Packet4f(_mm_cvtepi32_ps(emm0)), p4f_1);
+
+  /* part2:
+     if( x < SQRTHF ) {
+       e -= 1;
+       x = x + x - 1.0;
+     } else { x = x - 1.0; }
+  */
+  Packet4f mask = _mm_cmplt_ps(x, p4f_cephes_SQRTHF);
+  Packet4f tmp = pand(x, mask);
+  x = psub(x, p4f_1);
+  e = psub(e, pand(p4f_1, mask));
+  x = padd(x, tmp);
+
+  Packet4f x2 = pmul(x,x);
+  Packet4f x3 = pmul(x2,x);
+
+  Packet4f y, y1, y2;
+  y  = pmadd(p4f_cephes_log_p0, x, p4f_cephes_log_p1);
+  y1 = pmadd(p4f_cephes_log_p3, x, p4f_cephes_log_p4);
+  y2 = pmadd(p4f_cephes_log_p6, x, p4f_cephes_log_p7);
+  y  = pmadd(y , x, p4f_cephes_log_p2);
+  y1 = pmadd(y1, x, p4f_cephes_log_p5);
+  y2 = pmadd(y2, x, p4f_cephes_log_p8);
+  y = pmadd(y, x3, y1);
+  y = pmadd(y, x3, y2);
+  y = pmul(y, x3);
+
+  y1 = pmul(e, p4f_cephes_log_q1);
+  tmp = pmul(x2, p4f_half);
+  y = padd(y, y1);
+  x = psub(x, tmp);
+  y2 = pmul(e, p4f_cephes_log_q2);
+  x = padd(x, y);
+  x = padd(x, y2);
+  // negative arg will be NAN, 0 will be -INF
+  return _mm_or_ps(_mm_andnot_ps(iszero_mask, _mm_or_ps(x, invalid_mask)),
+                   _mm_and_ps(iszero_mask, p4f_minus_inf));
+}
+
+template<> EIGEN_DEFINE_FUNCTION_ALLOWING_MULTIPLE_DEFINITIONS EIGEN_UNUSED
+Packet4f pexp<Packet4f>(const Packet4f& _x)
+{
+  Packet4f x = _x;
+  _EIGEN_DECLARE_CONST_Packet4f(1 , 1.0f);
+  _EIGEN_DECLARE_CONST_Packet4f(half, 0.5f);
+  _EIGEN_DECLARE_CONST_Packet4i(0x7f, 0x7f);
+
+
+  _EIGEN_DECLARE_CONST_Packet4f(exp_hi,  88.3762626647950f);
+  _EIGEN_DECLARE_CONST_Packet4f(exp_lo, -88.3762626647949f);
+
+  _EIGEN_DECLARE_CONST_Packet4f(cephes_LOG2EF, 1.44269504088896341f);
+  _EIGEN_DECLARE_CONST_Packet4f(cephes_exp_C1, 0.693359375f);
+  _EIGEN_DECLARE_CONST_Packet4f(cephes_exp_C2, -2.12194440e-4f);
+
+  _EIGEN_DECLARE_CONST_Packet4f(cephes_exp_p0, 1.9875691500E-4f);
+  _EIGEN_DECLARE_CONST_Packet4f(cephes_exp_p1, 1.3981999507E-3f);
+  _EIGEN_DECLARE_CONST_Packet4f(cephes_exp_p2, 8.3334519073E-3f);
+  _EIGEN_DECLARE_CONST_Packet4f(cephes_exp_p3, 4.1665795894E-2f);
+  _EIGEN_DECLARE_CONST_Packet4f(cephes_exp_p4, 1.6666665459E-1f);
+  _EIGEN_DECLARE_CONST_Packet4f(cephes_exp_p5, 5.0000001201E-1f);
+
+  Packet4f tmp, fx;
+  Packet4i emm0;
+
+  // clamp x
+  x = pmax(pmin(x, p4f_exp_hi), p4f_exp_lo);
+
+  /* express exp(x) as exp(g + n*log(2)) */
+  fx = pmadd(x, p4f_cephes_LOG2EF, p4f_half);
+
+#ifdef EIGEN_VECTORIZE_SSE4_1
+  fx = _mm_floor_ps(fx);
+#else
+  emm0 = _mm_cvttps_epi32(fx);
+  tmp  = _mm_cvtepi32_ps(emm0);
+  /* if greater, substract 1 */
+  Packet4f mask = _mm_cmpgt_ps(tmp, fx);
+  mask = _mm_and_ps(mask, p4f_1);
+  fx = psub(tmp, mask);
+#endif
+
+  tmp = pmul(fx, p4f_cephes_exp_C1);
+  Packet4f z = pmul(fx, p4f_cephes_exp_C2);
+  x = psub(x, tmp);
+  x = psub(x, z);
+
+  z = pmul(x,x);
+
+  Packet4f y = p4f_cephes_exp_p0;
+  y = pmadd(y, x, p4f_cephes_exp_p1);
+  y = pmadd(y, x, p4f_cephes_exp_p2);
+  y = pmadd(y, x, p4f_cephes_exp_p3);
+  y = pmadd(y, x, p4f_cephes_exp_p4);
+  y = pmadd(y, x, p4f_cephes_exp_p5);
+  y = pmadd(y, z, x);
+  y = padd(y, p4f_1);
+
+  // build 2^n
+  emm0 = _mm_cvttps_epi32(fx);
+  emm0 = _mm_add_epi32(emm0, p4i_0x7f);
+  emm0 = _mm_slli_epi32(emm0, 23);
+  return pmax(pmul(y, Packet4f(_mm_castsi128_ps(emm0))), _x);
+}
+template<> EIGEN_DEFINE_FUNCTION_ALLOWING_MULTIPLE_DEFINITIONS EIGEN_UNUSED
+Packet2d pexp<Packet2d>(const Packet2d& _x)
+{
+  Packet2d x = _x;
+
+  _EIGEN_DECLARE_CONST_Packet2d(1 , 1.0);
+  _EIGEN_DECLARE_CONST_Packet2d(2 , 2.0);
+  _EIGEN_DECLARE_CONST_Packet2d(half, 0.5);
+
+  _EIGEN_DECLARE_CONST_Packet2d(exp_hi,  709.437);
+  _EIGEN_DECLARE_CONST_Packet2d(exp_lo, -709.436139303);
+
+  _EIGEN_DECLARE_CONST_Packet2d(cephes_LOG2EF, 1.4426950408889634073599);
+
+  _EIGEN_DECLARE_CONST_Packet2d(cephes_exp_p0, 1.26177193074810590878e-4);
+  _EIGEN_DECLARE_CONST_Packet2d(cephes_exp_p1, 3.02994407707441961300e-2);
+  _EIGEN_DECLARE_CONST_Packet2d(cephes_exp_p2, 9.99999999999999999910e-1);
+
+  _EIGEN_DECLARE_CONST_Packet2d(cephes_exp_q0, 3.00198505138664455042e-6);
+  _EIGEN_DECLARE_CONST_Packet2d(cephes_exp_q1, 2.52448340349684104192e-3);
+  _EIGEN_DECLARE_CONST_Packet2d(cephes_exp_q2, 2.27265548208155028766e-1);
+  _EIGEN_DECLARE_CONST_Packet2d(cephes_exp_q3, 2.00000000000000000009e0);
+
+  _EIGEN_DECLARE_CONST_Packet2d(cephes_exp_C1, 0.693145751953125);
+  _EIGEN_DECLARE_CONST_Packet2d(cephes_exp_C2, 1.42860682030941723212e-6);
+  static const __m128i p4i_1023_0 = _mm_setr_epi32(1023, 1023, 0, 0);
+
+  Packet2d tmp, fx;
+  Packet4i emm0;
+
+  // clamp x
+  x = pmax(pmin(x, p2d_exp_hi), p2d_exp_lo);
+  /* express exp(x) as exp(g + n*log(2)) */
+  fx = pmadd(p2d_cephes_LOG2EF, x, p2d_half);
+
+#ifdef EIGEN_VECTORIZE_SSE4_1
+  fx = _mm_floor_pd(fx);
+#else
+  emm0 = _mm_cvttpd_epi32(fx);
+  tmp  = _mm_cvtepi32_pd(emm0);
+  /* if greater, substract 1 */
+  Packet2d mask = _mm_cmpgt_pd(tmp, fx);
+  mask = _mm_and_pd(mask, p2d_1);
+  fx = psub(tmp, mask);
+#endif
+
+  tmp = pmul(fx, p2d_cephes_exp_C1);
+  Packet2d z = pmul(fx, p2d_cephes_exp_C2);
+  x = psub(x, tmp);
+  x = psub(x, z);
+
+  Packet2d x2 = pmul(x,x);
+
+  Packet2d px = p2d_cephes_exp_p0;
+  px = pmadd(px, x2, p2d_cephes_exp_p1);
+  px = pmadd(px, x2, p2d_cephes_exp_p2);
+  px = pmul (px, x);
+
+  Packet2d qx = p2d_cephes_exp_q0;
+  qx = pmadd(qx, x2, p2d_cephes_exp_q1);
+  qx = pmadd(qx, x2, p2d_cephes_exp_q2);
+  qx = pmadd(qx, x2, p2d_cephes_exp_q3);
+
+  x = pdiv(px,psub(qx,px));
+  x = pmadd(p2d_2,x,p2d_1);
+
+  // build 2^n
+  emm0 = _mm_cvttpd_epi32(fx);
+  emm0 = _mm_add_epi32(emm0, p4i_1023_0);
+  emm0 = _mm_slli_epi32(emm0, 20);
+  emm0 = _mm_shuffle_epi32(emm0, _MM_SHUFFLE(1,2,0,3));
+  return pmax(pmul(x, Packet2d(_mm_castsi128_pd(emm0))), _x);
+}
+
+/* evaluation of 4 sines at onces, using SSE2 intrinsics.
+
+   The code is the exact rewriting of the cephes sinf function.
+   Precision is excellent as long as x < 8192 (I did not bother to
+   take into account the special handling they have for greater values
+   -- it does not return garbage for arguments over 8192, though, but
+   the extra precision is missing).
+
+   Note that it is such that sinf((float)M_PI) = 8.74e-8, which is the
+   surprising but correct result.
+*/
+
+template<> EIGEN_DEFINE_FUNCTION_ALLOWING_MULTIPLE_DEFINITIONS EIGEN_UNUSED
+Packet4f psin<Packet4f>(const Packet4f& _x)
+{
+  Packet4f x = _x;
+  _EIGEN_DECLARE_CONST_Packet4f(1 , 1.0f);
+  _EIGEN_DECLARE_CONST_Packet4f(half, 0.5f);
+
+  _EIGEN_DECLARE_CONST_Packet4i(1, 1);
+  _EIGEN_DECLARE_CONST_Packet4i(not1, ~1);
+  _EIGEN_DECLARE_CONST_Packet4i(2, 2);
+  _EIGEN_DECLARE_CONST_Packet4i(4, 4);
+
+  _EIGEN_DECLARE_CONST_Packet4f_FROM_INT(sign_mask, 0x80000000);
+
+  _EIGEN_DECLARE_CONST_Packet4f(minus_cephes_DP1,-0.78515625f);
+  _EIGEN_DECLARE_CONST_Packet4f(minus_cephes_DP2, -2.4187564849853515625e-4f);
+  _EIGEN_DECLARE_CONST_Packet4f(minus_cephes_DP3, -3.77489497744594108e-8f);
+  _EIGEN_DECLARE_CONST_Packet4f(sincof_p0, -1.9515295891E-4f);
+  _EIGEN_DECLARE_CONST_Packet4f(sincof_p1,  8.3321608736E-3f);
+  _EIGEN_DECLARE_CONST_Packet4f(sincof_p2, -1.6666654611E-1f);
+  _EIGEN_DECLARE_CONST_Packet4f(coscof_p0,  2.443315711809948E-005f);
+  _EIGEN_DECLARE_CONST_Packet4f(coscof_p1, -1.388731625493765E-003f);
+  _EIGEN_DECLARE_CONST_Packet4f(coscof_p2,  4.166664568298827E-002f);
+  _EIGEN_DECLARE_CONST_Packet4f(cephes_FOPI, 1.27323954473516f); // 4 / M_PI
+
+  Packet4f xmm1, xmm2, xmm3, sign_bit, y;
+
+  Packet4i emm0, emm2;
+  sign_bit = x;
+  /* take the absolute value */
+  x = pabs(x);
+
+  /* take the modulo */
+
+  /* extract the sign bit (upper one) */
+  sign_bit = _mm_and_ps(sign_bit, p4f_sign_mask);
+
+  /* scale by 4/Pi */
+  y = pmul(x, p4f_cephes_FOPI);
+
+  /* store the integer part of y in mm0 */
+  emm2 = _mm_cvttps_epi32(y);
+  /* j=(j+1) & (~1) (see the cephes sources) */
+  emm2 = _mm_add_epi32(emm2, p4i_1);
+  emm2 = _mm_and_si128(emm2, p4i_not1);
+  y = _mm_cvtepi32_ps(emm2);
+  /* get the swap sign flag */
+  emm0 = _mm_and_si128(emm2, p4i_4);
+  emm0 = _mm_slli_epi32(emm0, 29);
+  /* get the polynom selection mask
+     there is one polynom for 0 <= x <= Pi/4
+     and another one for Pi/4<x<=Pi/2
+
+     Both branches will be computed.
+  */
+  emm2 = _mm_and_si128(emm2, p4i_2);
+  emm2 = _mm_cmpeq_epi32(emm2, _mm_setzero_si128());
+
+  Packet4f swap_sign_bit = _mm_castsi128_ps(emm0);
+  Packet4f poly_mask = _mm_castsi128_ps(emm2);
+  sign_bit = _mm_xor_ps(sign_bit, swap_sign_bit);
+
+  /* The magic pass: "Extended precision modular arithmetic"
+     x = ((x - y * DP1) - y * DP2) - y * DP3; */
+  xmm1 = pmul(y, p4f_minus_cephes_DP1);
+  xmm2 = pmul(y, p4f_minus_cephes_DP2);
+  xmm3 = pmul(y, p4f_minus_cephes_DP3);
+  x = padd(x, xmm1);
+  x = padd(x, xmm2);
+  x = padd(x, xmm3);
+
+  /* Evaluate the first polynom  (0 <= x <= Pi/4) */
+  y = p4f_coscof_p0;
+  Packet4f z = _mm_mul_ps(x,x);
+
+  y = pmadd(y, z, p4f_coscof_p1);
+  y = pmadd(y, z, p4f_coscof_p2);
+  y = pmul(y, z);
+  y = pmul(y, z);
+  Packet4f tmp = pmul(z, p4f_half);
+  y = psub(y, tmp);
+  y = padd(y, p4f_1);
+
+  /* Evaluate the second polynom  (Pi/4 <= x <= 0) */
+
+  Packet4f y2 = p4f_sincof_p0;
+  y2 = pmadd(y2, z, p4f_sincof_p1);
+  y2 = pmadd(y2, z, p4f_sincof_p2);
+  y2 = pmul(y2, z);
+  y2 = pmul(y2, x);
+  y2 = padd(y2, x);
+
+  /* select the correct result from the two polynoms */
+  y2 = _mm_and_ps(poly_mask, y2);
+  y = _mm_andnot_ps(poly_mask, y);
+  y = _mm_or_ps(y,y2);
+  /* update the sign */
+  return _mm_xor_ps(y, sign_bit);
+}
+
+/* almost the same as psin */
+template<> EIGEN_DEFINE_FUNCTION_ALLOWING_MULTIPLE_DEFINITIONS EIGEN_UNUSED
+Packet4f pcos<Packet4f>(const Packet4f& _x)
+{
+  Packet4f x = _x;
+  _EIGEN_DECLARE_CONST_Packet4f(1 , 1.0f);
+  _EIGEN_DECLARE_CONST_Packet4f(half, 0.5f);
+
+  _EIGEN_DECLARE_CONST_Packet4i(1, 1);
+  _EIGEN_DECLARE_CONST_Packet4i(not1, ~1);
+  _EIGEN_DECLARE_CONST_Packet4i(2, 2);
+  _EIGEN_DECLARE_CONST_Packet4i(4, 4);
+
+  _EIGEN_DECLARE_CONST_Packet4f(minus_cephes_DP1,-0.78515625f);
+  _EIGEN_DECLARE_CONST_Packet4f(minus_cephes_DP2, -2.4187564849853515625e-4f);
+  _EIGEN_DECLARE_CONST_Packet4f(minus_cephes_DP3, -3.77489497744594108e-8f);
+  _EIGEN_DECLARE_CONST_Packet4f(sincof_p0, -1.9515295891E-4f);
+  _EIGEN_DECLARE_CONST_Packet4f(sincof_p1,  8.3321608736E-3f);
+  _EIGEN_DECLARE_CONST_Packet4f(sincof_p2, -1.6666654611E-1f);
+  _EIGEN_DECLARE_CONST_Packet4f(coscof_p0,  2.443315711809948E-005f);
+  _EIGEN_DECLARE_CONST_Packet4f(coscof_p1, -1.388731625493765E-003f);
+  _EIGEN_DECLARE_CONST_Packet4f(coscof_p2,  4.166664568298827E-002f);
+  _EIGEN_DECLARE_CONST_Packet4f(cephes_FOPI, 1.27323954473516f); // 4 / M_PI
+
+  Packet4f xmm1, xmm2, xmm3, y;
+  Packet4i emm0, emm2;
+
+  x = pabs(x);
+
+  /* scale by 4/Pi */
+  y = pmul(x, p4f_cephes_FOPI);
+
+  /* get the integer part of y */
+  emm2 = _mm_cvttps_epi32(y);
+  /* j=(j+1) & (~1) (see the cephes sources) */
+  emm2 = _mm_add_epi32(emm2, p4i_1);
+  emm2 = _mm_and_si128(emm2, p4i_not1);
+  y = _mm_cvtepi32_ps(emm2);
+
+  emm2 = _mm_sub_epi32(emm2, p4i_2);
+
+  /* get the swap sign flag */
+  emm0 = _mm_andnot_si128(emm2, p4i_4);
+  emm0 = _mm_slli_epi32(emm0, 29);
+  /* get the polynom selection mask */
+  emm2 = _mm_and_si128(emm2, p4i_2);
+  emm2 = _mm_cmpeq_epi32(emm2, _mm_setzero_si128());
+
+  Packet4f sign_bit = _mm_castsi128_ps(emm0);
+  Packet4f poly_mask = _mm_castsi128_ps(emm2);
+
+  /* The magic pass: "Extended precision modular arithmetic"
+     x = ((x - y * DP1) - y * DP2) - y * DP3; */
+  xmm1 = pmul(y, p4f_minus_cephes_DP1);
+  xmm2 = pmul(y, p4f_minus_cephes_DP2);
+  xmm3 = pmul(y, p4f_minus_cephes_DP3);
+  x = padd(x, xmm1);
+  x = padd(x, xmm2);
+  x = padd(x, xmm3);
+
+  /* Evaluate the first polynom  (0 <= x <= Pi/4) */
+  y = p4f_coscof_p0;
+  Packet4f z = pmul(x,x);
+
+  y = pmadd(y,z,p4f_coscof_p1);
+  y = pmadd(y,z,p4f_coscof_p2);
+  y = pmul(y, z);
+  y = pmul(y, z);
+  Packet4f tmp = _mm_mul_ps(z, p4f_half);
+  y = psub(y, tmp);
+  y = padd(y, p4f_1);
+
+  /* Evaluate the second polynom  (Pi/4 <= x <= 0) */
+  Packet4f y2 = p4f_sincof_p0;
+  y2 = pmadd(y2, z, p4f_sincof_p1);
+  y2 = pmadd(y2, z, p4f_sincof_p2);
+  y2 = pmul(y2, z);
+  y2 = pmadd(y2, x, x);
+
+  /* select the correct result from the two polynoms */
+  y2 = _mm_and_ps(poly_mask, y2);
+  y  = _mm_andnot_ps(poly_mask, y);
+  y  = _mm_or_ps(y,y2);
+
+  /* update the sign */
+  return _mm_xor_ps(y, sign_bit);
+}
+
+#if EIGEN_FAST_MATH
+
+// Functions for sqrt.
+// The EIGEN_FAST_MATH version uses the _mm_rsqrt_ps approximation and one step
+// of Newton's method, at a cost of 1-2 bits of precision as opposed to the
+// exact solution. It does not handle +inf, or denormalized numbers correctly.
+// The main advantage of this approach is not just speed, but also the fact that
+// it can be inlined and pipelined with other computations, further reducing its
+// effective latency. This is similar to Quake3's fast inverse square root.
+// For detail see here: http://www.beyond3d.com/content/articles/8/
+template<> EIGEN_DEFINE_FUNCTION_ALLOWING_MULTIPLE_DEFINITIONS EIGEN_UNUSED
+Packet4f psqrt<Packet4f>(const Packet4f& _x)
+{
+  Packet4f half = pmul(_x, pset1<Packet4f>(.5f));
+  Packet4f denormal_mask = _mm_and_ps(
+      _mm_cmpge_ps(_x, _mm_setzero_ps()),
+      _mm_cmplt_ps(_x, pset1<Packet4f>((std::numeric_limits<float>::min)())));
+
+  // Compute approximate reciprocal sqrt.
+  Packet4f x = _mm_rsqrt_ps(_x);
+  // Do a single step of Newton's iteration.
+  x = pmul(x, psub(pset1<Packet4f>(1.5f), pmul(half, pmul(x,x))));
+  // Flush results for denormals to zero.
+  return _mm_andnot_ps(denormal_mask, pmul(_x,x));
+}
+
+#else
+
+template<>EIGEN_DEFINE_FUNCTION_ALLOWING_MULTIPLE_DEFINITIONS EIGEN_UNUSED
+Packet4f psqrt<Packet4f>(const Packet4f& x) { return _mm_sqrt_ps(x); }
+
+#endif
+
+template<> EIGEN_DEFINE_FUNCTION_ALLOWING_MULTIPLE_DEFINITIONS EIGEN_UNUSED
+Packet2d psqrt<Packet2d>(const Packet2d& x) { return _mm_sqrt_pd(x); }
+
+#if EIGEN_FAST_MATH
+
+template<> EIGEN_DEFINE_FUNCTION_ALLOWING_MULTIPLE_DEFINITIONS EIGEN_UNUSED
+Packet4f prsqrt<Packet4f>(const Packet4f& _x) {
+  _EIGEN_DECLARE_CONST_Packet4f_FROM_INT(inf, 0x7f800000);
+  _EIGEN_DECLARE_CONST_Packet4f_FROM_INT(nan, 0x7fc00000);
+  _EIGEN_DECLARE_CONST_Packet4f(one_point_five, 1.5f);
+  _EIGEN_DECLARE_CONST_Packet4f(minus_half, -0.5f);
+  _EIGEN_DECLARE_CONST_Packet4f_FROM_INT(flt_min, 0x00800000);
+
+  Packet4f neg_half = pmul(_x, p4f_minus_half);
+
+  // select only the inverse sqrt of positive normal inputs (denormals are
+  // flushed to zero and cause infs as well).
+  Packet4f le_zero_mask = _mm_cmple_ps(_x, p4f_flt_min);
+  Packet4f x = _mm_andnot_ps(le_zero_mask, _mm_rsqrt_ps(_x));
+
+  // Fill in NaNs and Infs for the negative/zero entries.
+  Packet4f neg_mask = _mm_cmplt_ps(_x, _mm_setzero_ps());
+  Packet4f zero_mask = _mm_andnot_ps(neg_mask, le_zero_mask);
+  Packet4f infs_and_nans = _mm_or_ps(_mm_and_ps(neg_mask, p4f_nan),
+                                     _mm_and_ps(zero_mask, p4f_inf));
+
+  // Do a single step of Newton's iteration.
+  x = pmul(x, pmadd(neg_half, pmul(x, x), p4f_one_point_five));
+
+  // Insert NaNs and Infs in all the right places.
+  return _mm_or_ps(x, infs_and_nans);
+}
+
+#else
+
+template<> EIGEN_DEFINE_FUNCTION_ALLOWING_MULTIPLE_DEFINITIONS EIGEN_UNUSED
+Packet4f prsqrt<Packet4f>(const Packet4f& x) {
+  // Unfortunately we can't use the much faster mm_rqsrt_ps since it only provides an approximation.
+  return _mm_div_ps(pset1<Packet4f>(1.0f), _mm_sqrt_ps(x));
+}
+
+#endif
+
+template<> EIGEN_DEFINE_FUNCTION_ALLOWING_MULTIPLE_DEFINITIONS EIGEN_UNUSED
+Packet2d prsqrt<Packet2d>(const Packet2d& x) {
+  // Unfortunately we can't use the much faster mm_rqsrt_pd since it only provides an approximation.
+  return _mm_div_pd(pset1<Packet2d>(1.0), _mm_sqrt_pd(x));
+}
+
+// Hyperbolic Tangent function.
+template <>
+EIGEN_DEFINE_FUNCTION_ALLOWING_MULTIPLE_DEFINITIONS EIGEN_UNUSED Packet4f
+ptanh<Packet4f>(const Packet4f& x) {
+  return internal::generic_fast_tanh_float(x);
+}
+
+} // end namespace internal
+
+namespace numext {
+
+template<>
+EIGEN_DEVICE_FUNC EIGEN_ALWAYS_INLINE
+float sqrt(const float &x)
+{
+  return internal::pfirst(internal::Packet4f(_mm_sqrt_ss(_mm_set_ss(x))));
+}
+
+template<>
+EIGEN_DEVICE_FUNC EIGEN_ALWAYS_INLINE
+double sqrt(const double &x)
+{
+#if EIGEN_COMP_GNUC_STRICT
+  // This works around a GCC bug generating poor code for _mm_sqrt_pd
+  // See https://bitbucket.org/eigen/eigen/commits/14f468dba4d350d7c19c9b93072e19f7b3df563b
+  return internal::pfirst(internal::Packet2d(__builtin_ia32_sqrtsd(_mm_set_sd(x))));
+#else
+  return internal::pfirst(internal::Packet2d(_mm_sqrt_pd(_mm_set_sd(x))));
+#endif
+}
+
+} // end namespace numex
+
+} // end namespace Eigen
+
+#endif // EIGEN_MATH_FUNCTIONS_SSE_H
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h	(revision 3761)
@@ -0,0 +1,471 @@
+// This file is part of Eigen, a lightweight C++ template library
+// for linear algebra.
+//
+// Copyright (C) 2010 Gael Guennebaud <gael.guennebaud@inria.fr>
+//
+// This Source Code Form is subject to the terms of the Mozilla
+// Public License v. 2.0. If a copy of the MPL was not distributed
+// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
+
+#ifndef EIGEN_COMPLEX_SSE_H
+#define EIGEN_COMPLEX_SSE_H
+
+namespace Eigen {
+
+namespace internal {
+
+//---------- float ----------
+struct Packet2cf
+{
+  EIGEN_STRONG_INLINE Packet2cf() {}
+  EIGEN_STRONG_INLINE explicit Packet2cf(const __m128& a) : v(a) {}
+  __m128  v;
+};
+
+// Use the packet_traits defined in AVX/PacketMath.h instead if we're going
+// to leverage AVX instructions.
+#ifndef EIGEN_VECTORIZE_AVX
+template<> struct packet_traits<std::complex<float> >  : default_packet_traits
+{
+  typedef Packet2cf type;
+  typedef Packet2cf half;
+  enum {
+    Vectorizable = 1,
+    AlignedOnScalar = 1,
+    size = 2,
+    HasHalfPacket = 0,
+
+    HasAdd    = 1,
+    HasSub    = 1,
+    HasMul    = 1,
+    HasDiv    = 1,
+    HasNegate = 1,
+    HasAbs    = 0,
+    HasAbs2   = 0,
+    HasMin    = 0,
+    HasMax    = 0,
+    HasSetLinear = 0,
+    HasBlend = 1
+  };
+};
+#endif
+
+template<> struct unpacket_traits<Packet2cf> { typedef std::complex<float> type; enum {size=2, alignment=Aligned16}; typedef Packet2cf half; };
+
+template<> EIGEN_STRONG_INLINE Packet2cf padd<Packet2cf>(const Packet2cf& a, const Packet2cf& b) { return Packet2cf(_mm_add_ps(a.v,b.v)); }
+template<> EIGEN_STRONG_INLINE Packet2cf psub<Packet2cf>(const Packet2cf& a, const Packet2cf& b) { return Packet2cf(_mm_sub_ps(a.v,b.v)); }
+template<> EIGEN_STRONG_INLINE Packet2cf pnegate(const Packet2cf& a)
+{
+  const __m128 mask = _mm_castsi128_ps(_mm_setr_epi32(0x80000000,0x80000000,0x80000000,0x80000000));
+  return Packet2cf(_mm_xor_ps(a.v,mask));
+}
+template<> EIGEN_STRONG_INLINE Packet2cf pconj(const Packet2cf& a)
+{
+  const __m128 mask = _mm_castsi128_ps(_mm_setr_epi32(0x00000000,0x80000000,0x00000000,0x80000000));
+  return Packet2cf(_mm_xor_ps(a.v,mask));
+}
+
+template<> EIGEN_STRONG_INLINE Packet2cf pmul<Packet2cf>(const Packet2cf& a, const Packet2cf& b)
+{
+  #ifdef EIGEN_VECTORIZE_SSE3
+  return Packet2cf(_mm_addsub_ps(_mm_mul_ps(_mm_moveldup_ps(a.v), b.v),
+                                 _mm_mul_ps(_mm_movehdup_ps(a.v),
+                                            vec4f_swizzle1(b.v, 1, 0, 3, 2))));
+//   return Packet2cf(_mm_addsub_ps(_mm_mul_ps(vec4f_swizzle1(a.v, 0, 0, 2, 2), b.v),
+//                                  _mm_mul_ps(vec4f_swizzle1(a.v, 1, 1, 3, 3),
+//                                             vec4f_swizzle1(b.v, 1, 0, 3, 2))));
+  #else
+  const __m128 mask = _mm_castsi128_ps(_mm_setr_epi32(0x80000000,0x00000000,0x80000000,0x00000000));
+  return Packet2cf(_mm_add_ps(_mm_mul_ps(vec4f_swizzle1(a.v, 0, 0, 2, 2), b.v),
+                              _mm_xor_ps(_mm_mul_ps(vec4f_swizzle1(a.v, 1, 1, 3, 3),
+                                                    vec4f_swizzle1(b.v, 1, 0, 3, 2)), mask)));
+  #endif
+}
+
+template<> EIGEN_STRONG_INLINE Packet2cf pand   <Packet2cf>(const Packet2cf& a, const Packet2cf& b) { return Packet2cf(_mm_and_ps(a.v,b.v)); }
+template<> EIGEN_STRONG_INLINE Packet2cf por    <Packet2cf>(const Packet2cf& a, const Packet2cf& b) { return Packet2cf(_mm_or_ps(a.v,b.v)); }
+template<> EIGEN_STRONG_INLINE Packet2cf pxor   <Packet2cf>(const Packet2cf& a, const Packet2cf& b) { return Packet2cf(_mm_xor_ps(a.v,b.v)); }
+template<> EIGEN_STRONG_INLINE Packet2cf pandnot<Packet2cf>(const Packet2cf& a, const Packet2cf& b) { return Packet2cf(_mm_andnot_ps(a.v,b.v)); }
+
+template<> EIGEN_STRONG_INLINE Packet2cf pload <Packet2cf>(const std::complex<float>* from) { EIGEN_DEBUG_ALIGNED_LOAD return Packet2cf(pload<Packet4f>(&numext::real_ref(*from))); }
+template<> EIGEN_STRONG_INLINE Packet2cf ploadu<Packet2cf>(const std::complex<float>* from) { EIGEN_DEBUG_UNALIGNED_LOAD return Packet2cf(ploadu<Packet4f>(&numext::real_ref(*from))); }
+
+template<> EIGEN_STRONG_INLINE Packet2cf pset1<Packet2cf>(const std::complex<float>&  from)
+{
+  Packet2cf res;
+#if EIGEN_GNUC_AT_MOST(4,2)
+  // Workaround annoying "may be used uninitialized in this function" warning with gcc 4.2
+  res.v = _mm_loadl_pi(_mm_set1_ps(0.0f), reinterpret_cast<const __m64*>(&from));
+#elif EIGEN_GNUC_AT_LEAST(4,6)
+  // Suppress annoying "may be used uninitialized in this function" warning with gcc >= 4.6
+  //#pragma GCC diagnostic push
+  //#pragma GCC diagnostic ignored "-Wuninitialized"
+  res.v = _mm_loadl_pi(res.v, (const __m64*)&from);
+  //#pragma GCC diagnostic pop
+#else
+  res.v = _mm_loadl_pi(res.v, (const __m64*)&from);
+#endif
+  return Packet2cf(_mm_movelh_ps(res.v,res.v));
+}
+
+template<> EIGEN_STRONG_INLINE Packet2cf ploaddup<Packet2cf>(const std::complex<float>* from) { return pset1<Packet2cf>(*from); }
+
+template<> EIGEN_STRONG_INLINE void pstore <std::complex<float> >(std::complex<float> *   to, const Packet2cf& from) { EIGEN_DEBUG_ALIGNED_STORE pstore(&numext::real_ref(*to), Packet4f(from.v)); }
+template<> EIGEN_STRONG_INLINE void pstoreu<std::complex<float> >(std::complex<float> *   to, const Packet2cf& from) { EIGEN_DEBUG_UNALIGNED_STORE pstoreu(&numext::real_ref(*to), Packet4f(from.v)); }
+
+
+template<> EIGEN_DEVICE_FUNC inline Packet2cf pgather<std::complex<float>, Packet2cf>(const std::complex<float>* from, Index stride)
+{
+  return Packet2cf(_mm_set_ps(std::imag(from[1*stride]), std::real(from[1*stride]),
+                              std::imag(from[0*stride]), std::real(from[0*stride])));
+}
+
+template<> EIGEN_DEVICE_FUNC inline void pscatter<std::complex<float>, Packet2cf>(std::complex<float>* to, const Packet2cf& from, Index stride)
+{
+  to[stride*0] = std::complex<float>(_mm_cvtss_f32(_mm_shuffle_ps(from.v, from.v, 0)),
+                                     _mm_cvtss_f32(_mm_shuffle_ps(from.v, from.v, 1)));
+  to[stride*1] = std::complex<float>(_mm_cvtss_f32(_mm_shuffle_ps(from.v, from.v, 2)),
+                                     _mm_cvtss_f32(_mm_shuffle_ps(from.v, from.v, 3)));
+}
+
+template<> EIGEN_STRONG_INLINE void prefetch<std::complex<float> >(const std::complex<float> *   addr) { _mm_prefetch((SsePrefetchPtrType)(addr), _MM_HINT_T0); }
+
+template<> EIGEN_STRONG_INLINE std::complex<float>  pfirst<Packet2cf>(const Packet2cf& a)
+{
+  #if EIGEN_GNUC_AT_MOST(4,3)
+  // Workaround gcc 4.2 ICE - this is not performance wise ideal, but who cares...
+  // This workaround also fix invalid code generation with gcc 4.3
+  EIGEN_ALIGN16 std::complex<float> res[2];
+  _mm_store_ps((float*)res, a.v);
+  return res[0];
+  #else
+  std::complex<float> res;
+  _mm_storel_pi((__m64*)&res, a.v);
+  return res;
+  #endif
+}
+
+template<> EIGEN_STRONG_INLINE Packet2cf preverse(const Packet2cf& a) { return Packet2cf(_mm_castpd_ps(preverse(Packet2d(_mm_castps_pd(a.v))))); }
+
+template<> EIGEN_STRONG_INLINE std::complex<float> predux<Packet2cf>(const Packet2cf& a)
+{
+  return pfirst(Packet2cf(_mm_add_ps(a.v, _mm_movehl_ps(a.v,a.v))));
+}
+
+template<> EIGEN_STRONG_INLINE Packet2cf preduxp<Packet2cf>(const Packet2cf* vecs)
+{
+  return Packet2cf(_mm_add_ps(_mm_movelh_ps(vecs[0].v,vecs[1].v), _mm_movehl_ps(vecs[1].v,vecs[0].v)));
+}
+
+template<> EIGEN_STRONG_INLINE std::complex<float> predux_mul<Packet2cf>(const Packet2cf& a)
+{
+  return pfirst(pmul(a, Packet2cf(_mm_movehl_ps(a.v,a.v))));
+}
+
+template<int Offset>
+struct palign_impl<Offset,Packet2cf>
+{
+  static EIGEN_STRONG_INLINE void run(Packet2cf& first, const Packet2cf& second)
+  {
+    if (Offset==1)
+    {
+      first.v = _mm_movehl_ps(first.v, first.v);
+      first.v = _mm_movelh_ps(first.v, second.v);
+    }
+  }
+};
+
+template<> struct conj_helper<Packet2cf, Packet2cf, false,true>
+{
+  EIGEN_STRONG_INLINE Packet2cf pmadd(const Packet2cf& x, const Packet2cf& y, const Packet2cf& c) const
+  { return padd(pmul(x,y),c); }
+
+  EIGEN_STRONG_INLINE Packet2cf pmul(const Packet2cf& a, const Packet2cf& b) const
+  {
+    #ifdef EIGEN_VECTORIZE_SSE3
+    return internal::pmul(a, pconj(b));
+    #else
+    const __m128 mask = _mm_castsi128_ps(_mm_setr_epi32(0x00000000,0x80000000,0x00000000,0x80000000));
+    return Packet2cf(_mm_add_ps(_mm_xor_ps(_mm_mul_ps(vec4f_swizzle1(a.v, 0, 0, 2, 2), b.v), mask),
+                                _mm_mul_ps(vec4f_swizzle1(a.v, 1, 1, 3, 3),
+                                           vec4f_swizzle1(b.v, 1, 0, 3, 2))));
+    #endif
+  }
+};
+
+template<> struct conj_helper<Packet2cf, Packet2cf, true,false>
+{
+  EIGEN_STRONG_INLINE Packet2cf pmadd(const Packet2cf& x, const Packet2cf& y, const Packet2cf& c) const
+  { return padd(pmul(x,y),c); }
+
+  EIGEN_STRONG_INLINE Packet2cf pmul(const Packet2cf& a, const Packet2cf& b) const
+  {
+    #ifdef EIGEN_VECTORIZE_SSE3
+    return internal::pmul(pconj(a), b);
+    #else
+    const __m128 mask = _mm_castsi128_ps(_mm_setr_epi32(0x00000000,0x80000000,0x00000000,0x80000000));
+    return Packet2cf(_mm_add_ps(_mm_mul_ps(vec4f_swizzle1(a.v, 0, 0, 2, 2), b.v),
+                                _mm_xor_ps(_mm_mul_ps(vec4f_swizzle1(a.v, 1, 1, 3, 3),
+                                                      vec4f_swizzle1(b.v, 1, 0, 3, 2)), mask)));
+    #endif
+  }
+};
+
+template<> struct conj_helper<Packet2cf, Packet2cf, true,true>
+{
+  EIGEN_STRONG_INLINE Packet2cf pmadd(const Packet2cf& x, const Packet2cf& y, const Packet2cf& c) const
+  { return padd(pmul(x,y),c); }
+
+  EIGEN_STRONG_INLINE Packet2cf pmul(const Packet2cf& a, const Packet2cf& b) const
+  {
+    #ifdef EIGEN_VECTORIZE_SSE3
+    return pconj(internal::pmul(a, b));
+    #else
+    const __m128 mask = _mm_castsi128_ps(_mm_setr_epi32(0x00000000,0x80000000,0x00000000,0x80000000));
+    return Packet2cf(_mm_sub_ps(_mm_xor_ps(_mm_mul_ps(vec4f_swizzle1(a.v, 0, 0, 2, 2), b.v), mask),
+                                _mm_mul_ps(vec4f_swizzle1(a.v, 1, 1, 3, 3),
+                                           vec4f_swizzle1(b.v, 1, 0, 3, 2))));
+    #endif
+  }
+};
+
+EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f)
+
+template<> EIGEN_STRONG_INLINE Packet2cf pdiv<Packet2cf>(const Packet2cf& a, const Packet2cf& b)
+{
+  // TODO optimize it for SSE3 and 4
+  Packet2cf res = conj_helper<Packet2cf,Packet2cf,false,true>().pmul(a,b);
+  __m128 s = _mm_mul_ps(b.v,b.v);
+  return Packet2cf(_mm_div_ps(res.v,_mm_add_ps(s,_mm_castsi128_ps(_mm_shuffle_epi32(_mm_castps_si128(s), 0xb1)))));
+}
+
+EIGEN_STRONG_INLINE Packet2cf pcplxflip/* <Packet2cf> */(const Packet2cf& x)
+{
+  return Packet2cf(vec4f_swizzle1(x.v, 1, 0, 3, 2));
+}
+
+
+//---------- double ----------
+struct Packet1cd
+{
+  EIGEN_STRONG_INLINE Packet1cd() {}
+  EIGEN_STRONG_INLINE explicit Packet1cd(const __m128d& a) : v(a) {}
+  __m128d  v;
+};
+
+// Use the packet_traits defined in AVX/PacketMath.h instead if we're going
+// to leverage AVX instructions.
+#ifndef EIGEN_VECTORIZE_AVX
+template<> struct packet_traits<std::complex<double> >  : default_packet_traits
+{
+  typedef Packet1cd type;
+  typedef Packet1cd half;
+  enum {
+    Vectorizable = 1,
+    AlignedOnScalar = 0,
+    size = 1,
+    HasHalfPacket = 0,
+
+    HasAdd    = 1,
+    HasSub    = 1,
+    HasMul    = 1,
+    HasDiv    = 1,
+    HasNegate = 1,
+    HasAbs    = 0,
+    HasAbs2   = 0,
+    HasMin    = 0,
+    HasMax    = 0,
+    HasSetLinear = 0
+  };
+};
+#endif
+
+template<> struct unpacket_traits<Packet1cd> { typedef std::complex<double> type; enum {size=1, alignment=Aligned16}; typedef Packet1cd half; };
+
+template<> EIGEN_STRONG_INLINE Packet1cd padd<Packet1cd>(const Packet1cd& a, const Packet1cd& b) { return Packet1cd(_mm_add_pd(a.v,b.v)); }
+template<> EIGEN_STRONG_INLINE Packet1cd psub<Packet1cd>(const Packet1cd& a, const Packet1cd& b) { return Packet1cd(_mm_sub_pd(a.v,b.v)); }
+template<> EIGEN_STRONG_INLINE Packet1cd pnegate(const Packet1cd& a) { return Packet1cd(pnegate(Packet2d(a.v))); }
+template<> EIGEN_STRONG_INLINE Packet1cd pconj(const Packet1cd& a)
+{
+  const __m128d mask = _mm_castsi128_pd(_mm_set_epi32(0x80000000,0x0,0x0,0x0));
+  return Packet1cd(_mm_xor_pd(a.v,mask));
+}
+
+template<> EIGEN_STRONG_INLINE Packet1cd pmul<Packet1cd>(const Packet1cd& a, const Packet1cd& b)
+{
+  #ifdef EIGEN_VECTORIZE_SSE3
+  return Packet1cd(_mm_addsub_pd(_mm_mul_pd(_mm_movedup_pd(a.v), b.v),
+                                 _mm_mul_pd(vec2d_swizzle1(a.v, 1, 1),
+                                            vec2d_swizzle1(b.v, 1, 0))));
+  #else
+  const __m128d mask = _mm_castsi128_pd(_mm_set_epi32(0x0,0x0,0x80000000,0x0));
+  return Packet1cd(_mm_add_pd(_mm_mul_pd(vec2d_swizzle1(a.v, 0, 0), b.v),
+                              _mm_xor_pd(_mm_mul_pd(vec2d_swizzle1(a.v, 1, 1),
+                                                    vec2d_swizzle1(b.v, 1, 0)), mask)));
+  #endif
+}
+
+template<> EIGEN_STRONG_INLINE Packet1cd pand   <Packet1cd>(const Packet1cd& a, const Packet1cd& b) { return Packet1cd(_mm_and_pd(a.v,b.v)); }
+template<> EIGEN_STRONG_INLINE Packet1cd por    <Packet1cd>(const Packet1cd& a, const Packet1cd& b) { return Packet1cd(_mm_or_pd(a.v,b.v)); }
+template<> EIGEN_STRONG_INLINE Packet1cd pxor   <Packet1cd>(const Packet1cd& a, const Packet1cd& b) { return Packet1cd(_mm_xor_pd(a.v,b.v)); }
+template<> EIGEN_STRONG_INLINE Packet1cd pandnot<Packet1cd>(const Packet1cd& a, const Packet1cd& b) { return Packet1cd(_mm_andnot_pd(a.v,b.v)); }
+
+// FIXME force unaligned load, this is a temporary fix
+template<> EIGEN_STRONG_INLINE Packet1cd pload <Packet1cd>(const std::complex<double>* from)
+{ EIGEN_DEBUG_ALIGNED_LOAD return Packet1cd(pload<Packet2d>((const double*)from)); }
+template<> EIGEN_STRONG_INLINE Packet1cd ploadu<Packet1cd>(const std::complex<double>* from)
+{ EIGEN_DEBUG_UNALIGNED_LOAD return Packet1cd(ploadu<Packet2d>((const double*)from)); }
+template<> EIGEN_STRONG_INLINE Packet1cd pset1<Packet1cd>(const std::complex<double>&  from)
+{ /* here we really have to use unaligned loads :( */ return ploadu<Packet1cd>(&from); }
+
+template<> EIGEN_STRONG_INLINE Packet1cd ploaddup<Packet1cd>(const std::complex<double>* from) { return pset1<Packet1cd>(*from); }
+
+// FIXME force unaligned store, this is a temporary fix
+template<> EIGEN_STRONG_INLINE void pstore <std::complex<double> >(std::complex<double> *   to, const Packet1cd& from) { EIGEN_DEBUG_ALIGNED_STORE pstore((double*)to, Packet2d(from.v)); }
+template<> EIGEN_STRONG_INLINE void pstoreu<std::complex<double> >(std::complex<double> *   to, const Packet1cd& from) { EIGEN_DEBUG_UNALIGNED_STORE pstoreu((double*)to, Packet2d(from.v)); }
+
+template<> EIGEN_STRONG_INLINE void prefetch<std::complex<double> >(const std::complex<double> *   addr) { _mm_prefetch((SsePrefetchPtrType)(addr), _MM_HINT_T0); }
+
+template<> EIGEN_STRONG_INLINE std::complex<double>  pfirst<Packet1cd>(const Packet1cd& a)
+{
+  EIGEN_ALIGN16 double res[2];
+  _mm_store_pd(res, a.v);
+  return std::complex<double>(res[0],res[1]);
+}
+
+template<> EIGEN_STRONG_INLINE Packet1cd preverse(const Packet1cd& a) { return a; }
+
+template<> EIGEN_STRONG_INLINE std::complex<double> predux<Packet1cd>(const Packet1cd& a)
+{
+  return pfirst(a);
+}
+
+template<> EIGEN_STRONG_INLINE Packet1cd preduxp<Packet1cd>(const Packet1cd* vecs)
+{
+  return vecs[0];
+}
+
+template<> EIGEN_STRONG_INLINE std::complex<double> predux_mul<Packet1cd>(const Packet1cd& a)
+{
+  return pfirst(a);
+}
+
+template<int Offset>
+struct palign_impl<Offset,Packet1cd>
+{
+  static EIGEN_STRONG_INLINE void run(Packet1cd& /*first*/, const Packet1cd& /*second*/)
+  {
+    // FIXME is it sure we never have to align a Packet1cd?
+    // Even though a std::complex<double> has 16 bytes, it is not necessarily aligned on a 16 bytes boundary...
+  }
+};
+
+template<> struct conj_helper<Packet1cd, Packet1cd, false,true>
+{
+  EIGEN_STRONG_INLINE Packet1cd pmadd(const Packet1cd& x, const Packet1cd& y, const Packet1cd& c) const
+  { return padd(pmul(x,y),c); }
+
+  EIGEN_STRONG_INLINE Packet1cd pmul(const Packet1cd& a, const Packet1cd& b) const
+  {
+    #ifdef EIGEN_VECTORIZE_SSE3
+    return internal::pmul(a, pconj(b));
+    #else
+    const __m128d mask = _mm_castsi128_pd(_mm_set_epi32(0x80000000,0x0,0x0,0x0));
+    return Packet1cd(_mm_add_pd(_mm_xor_pd(_mm_mul_pd(vec2d_swizzle1(a.v, 0, 0), b.v), mask),
+                                _mm_mul_pd(vec2d_swizzle1(a.v, 1, 1),
+                                           vec2d_swizzle1(b.v, 1, 0))));
+    #endif
+  }
+};
+
+template<> struct conj_helper<Packet1cd, Packet1cd, true,false>
+{
+  EIGEN_STRONG_INLINE Packet1cd pmadd(const Packet1cd& x, const Packet1cd& y, const Packet1cd& c) const
+  { return padd(pmul(x,y),c); }
+
+  EIGEN_STRONG_INLINE Packet1cd pmul(const Packet1cd& a, const Packet1cd& b) const
+  {
+    #ifdef EIGEN_VECTORIZE_SSE3
+    return internal::pmul(pconj(a), b);
+    #else
+    const __m128d mask = _mm_castsi128_pd(_mm_set_epi32(0x80000000,0x0,0x0,0x0));
+    return Packet1cd(_mm_add_pd(_mm_mul_pd(vec2d_swizzle1(a.v, 0, 0), b.v),
+                                _mm_xor_pd(_mm_mul_pd(vec2d_swizzle1(a.v, 1, 1),
+                                                      vec2d_swizzle1(b.v, 1, 0)), mask)));
+    #endif
+  }
+};
+
+template<> struct conj_helper<Packet1cd, Packet1cd, true,true>
+{
+  EIGEN_STRONG_INLINE Packet1cd pmadd(const Packet1cd& x, const Packet1cd& y, const Packet1cd& c) const
+  { return padd(pmul(x,y),c); }
+
+  EIGEN_STRONG_INLINE Packet1cd pmul(const Packet1cd& a, const Packet1cd& b) const
+  {
+    #ifdef EIGEN_VECTORIZE_SSE3
+    return pconj(internal::pmul(a, b));
+    #else
+    const __m128d mask = _mm_castsi128_pd(_mm_set_epi32(0x80000000,0x0,0x0,0x0));
+    return Packet1cd(_mm_sub_pd(_mm_xor_pd(_mm_mul_pd(vec2d_swizzle1(a.v, 0, 0), b.v), mask),
+                                _mm_mul_pd(vec2d_swizzle1(a.v, 1, 1),
+                                           vec2d_swizzle1(b.v, 1, 0))));
+    #endif
+  }
+};
+
+EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d)
+
+template<> EIGEN_STRONG_INLINE Packet1cd pdiv<Packet1cd>(const Packet1cd& a, const Packet1cd& b)
+{
+  // TODO optimize it for SSE3 and 4
+  Packet1cd res = conj_helper<Packet1cd,Packet1cd,false,true>().pmul(a,b);
+  __m128d s = _mm_mul_pd(b.v,b.v);
+  return Packet1cd(_mm_div_pd(res.v, _mm_add_pd(s,_mm_shuffle_pd(s, s, 0x1))));
+}
+
+EIGEN_STRONG_INLINE Packet1cd pcplxflip/* <Packet1cd> */(const Packet1cd& x)
+{
+  return Packet1cd(preverse(Packet2d(x.v)));
+}
+
+EIGEN_DEVICE_FUNC inline void
+ptranspose(PacketBlock<Packet2cf,2>& kernel) {
+  __m128d w1 = _mm_castps_pd(kernel.packet[0].v);
+  __m128d w2 = _mm_castps_pd(kernel.packet[1].v);
+
+  __m128 tmp = _mm_castpd_ps(_mm_unpackhi_pd(w1, w2));
+  kernel.packet[0].v = _mm_castpd_ps(_mm_unpacklo_pd(w1, w2));
+  kernel.packet[1].v = tmp;
+}
+
+template<>  EIGEN_STRONG_INLINE Packet2cf pblend(const Selector<2>& ifPacket, const Packet2cf& thenPacket, const Packet2cf& elsePacket) {
+  __m128d result = pblend<Packet2d>(ifPacket, _mm_castps_pd(thenPacket.v), _mm_castps_pd(elsePacket.v));
+  return Packet2cf(_mm_castpd_ps(result));
+}
+
+template<> EIGEN_STRONG_INLINE Packet2cf pinsertfirst(const Packet2cf& a, std::complex<float> b)
+{
+  return Packet2cf(_mm_loadl_pi(a.v, reinterpret_cast<const __m64*>(&b)));
+}
+
+template<> EIGEN_STRONG_INLINE Packet1cd pinsertfirst(const Packet1cd&, std::complex<double> b)
+{
+  return pset1<Packet1cd>(b);
+}
+
+template<> EIGEN_STRONG_INLINE Packet2cf pinsertlast(const Packet2cf& a, std::complex<float> b)
+{
+  return Packet2cf(_mm_loadh_pi(a.v, reinterpret_cast<const __m64*>(&b)));
+}
+
+template<> EIGEN_STRONG_INLINE Packet1cd pinsertlast(const Packet1cd&, std::complex<double> b)
+{
+  return pset1<Packet1cd>(b);
+}
+
+} // end namespace internal
+
+} // end namespace Eigen
+
+#endif // EIGEN_COMPLEX_SSE_H
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/arch/SSE/TypeCasting.h
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/arch/SSE/TypeCasting.h	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/arch/SSE/TypeCasting.h	(revision 3761)
@@ -0,0 +1,77 @@
+// This file is part of Eigen, a lightweight C++ template library
+// for linear algebra.
+//
+// Copyright (C) 2015 Benoit Steiner <benoit.steiner.goog@gmail.com>
+//
+// This Source Code Form is subject to the terms of the Mozilla
+// Public License v. 2.0. If a copy of the MPL was not distributed
+// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
+
+#ifndef EIGEN_TYPE_CASTING_SSE_H
+#define EIGEN_TYPE_CASTING_SSE_H
+
+namespace Eigen {
+
+namespace internal {
+
+#ifndef EIGEN_VECTORIZE_AVX
+template <>
+struct type_casting_traits<float, int> {
+  enum {
+    VectorizedCast = 1,
+    SrcCoeffRatio = 1,
+    TgtCoeffRatio = 1
+  };
+};
+
+template <>
+struct type_casting_traits<int, float> {
+  enum {
+    VectorizedCast = 1,
+    SrcCoeffRatio = 1,
+    TgtCoeffRatio = 1
+  };
+};
+
+template <>
+struct type_casting_traits<double, float> {
+  enum {
+    VectorizedCast = 1,
+    SrcCoeffRatio = 2,
+    TgtCoeffRatio = 1
+  };
+};
+
+template <>
+struct type_casting_traits<float, double> {
+  enum {
+    VectorizedCast = 1,
+    SrcCoeffRatio = 1,
+    TgtCoeffRatio = 2
+  };
+};
+#endif
+
+template<> EIGEN_STRONG_INLINE Packet4i pcast<Packet4f, Packet4i>(const Packet4f& a) {
+  return _mm_cvttps_epi32(a);
+}
+
+template<> EIGEN_STRONG_INLINE Packet4f pcast<Packet4i, Packet4f>(const Packet4i& a) {
+  return _mm_cvtepi32_ps(a);
+}
+
+template<> EIGEN_STRONG_INLINE Packet4f pcast<Packet2d, Packet4f>(const Packet2d& a, const Packet2d& b) {
+  return _mm_shuffle_ps(_mm_cvtpd_ps(a), _mm_cvtpd_ps(b), (1 << 2) | (1 << 6));
+}
+
+template<> EIGEN_STRONG_INLINE Packet2d pcast<Packet4f, Packet2d>(const Packet4f& a) {
+  // Simply discard the second half of the input
+  return _mm_cvtps_pd(a);
+}
+
+
+} // end namespace internal
+
+} // end namespace Eigen
+
+#endif // EIGEN_TYPE_CASTING_SSE_H
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/arch/CUDA/Half.h
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/arch/CUDA/Half.h	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/arch/CUDA/Half.h	(revision 3761)
@@ -0,0 +1,677 @@
+// This file is part of Eigen, a lightweight C++ template library
+// for linear algebra.
+//
+// This Source Code Form is subject to the terms of the Mozilla
+// Public License v. 2.0. If a copy of the MPL was not distributed
+// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
+//
+// The conversion routines are Copyright (c) Fabian Giesen, 2016.
+// The original license follows:
+//
+// Copyright (c) Fabian Giesen, 2016
+// All rights reserved.
+// Redistribution and use in source and binary forms, with or without
+// modification, are permitted.
+// THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS
+// "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT
+// LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR
+// A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT
+// HOLDER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL,
+// SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT
+// LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE,
+// DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY
+// THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
+// (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
+// OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
+
+
+// Standard 16-bit float type, mostly useful for GPUs. Defines a new
+// type Eigen::half (inheriting from CUDA's __half struct) with
+// operator overloads such that it behaves basically as an arithmetic
+// type. It will be quite slow on CPUs (so it is recommended to stay
+// in float32_bits for CPUs, except for simple parameter conversions, I/O
+// to disk and the likes), but fast on GPUs.
+
+
+#ifndef EIGEN_HALF_CUDA_H
+#define EIGEN_HALF_CUDA_H
+
+#if __cplusplus > 199711L
+#define EIGEN_EXPLICIT_CAST(tgt_type) explicit operator tgt_type()
+#else
+#define EIGEN_EXPLICIT_CAST(tgt_type) operator tgt_type()
+#endif
+
+#include <sstream>
+
+namespace Eigen {
+
+struct half;
+
+namespace half_impl {
+
+#if !defined(EIGEN_HAS_CUDA_FP16)
+// Make our own __half_raw definition that is similar to CUDA's.
+struct __half_raw {
+  EIGEN_DEVICE_FUNC __half_raw() : x(0) {}
+  explicit EIGEN_DEVICE_FUNC __half_raw(unsigned short raw) : x(raw) {}
+  unsigned short x;
+};
+#elif defined(EIGEN_CUDACC_VER) && EIGEN_CUDACC_VER < 90000
+// In CUDA < 9.0, __half is the equivalent of CUDA 9's __half_raw
+typedef __half __half_raw;
+#endif
+
+EIGEN_STRONG_INLINE EIGEN_DEVICE_FUNC __half_raw raw_uint16_to_half(unsigned short x);
+EIGEN_STRONG_INLINE EIGEN_DEVICE_FUNC __half_raw float_to_half_rtne(float ff);
+EIGEN_STRONG_INLINE EIGEN_DEVICE_FUNC float half_to_float(__half_raw h);
+
+struct half_base : public __half_raw {
+  EIGEN_DEVICE_FUNC half_base() {}
+  EIGEN_DEVICE_FUNC half_base(const half_base& h) : __half_raw(h) {}
+  EIGEN_DEVICE_FUNC half_base(const __half_raw& h) : __half_raw(h) {}
+#if defined(EIGEN_HAS_CUDA_FP16) && defined(EIGEN_CUDACC_VER) && EIGEN_CUDACC_VER >= 90000
+  EIGEN_DEVICE_FUNC half_base(const __half& h) : __half_raw(*(__half_raw*)&h) {}
+#endif
+};
+
+} // namespace half_impl
+
+// Class definition.
+struct half : public half_impl::half_base {
+  #if !defined(EIGEN_HAS_CUDA_FP16) || (defined(EIGEN_CUDACC_VER) && EIGEN_CUDACC_VER < 90000)
+    typedef half_impl::__half_raw __half_raw;
+  #endif
+
+  EIGEN_DEVICE_FUNC half() {}
+
+  EIGEN_DEVICE_FUNC half(const __half_raw& h) : half_impl::half_base(h) {}
+  EIGEN_DEVICE_FUNC half(const half& h) : half_impl::half_base(h) {}
+#if defined(EIGEN_HAS_CUDA_FP16) && defined(EIGEN_CUDACC_VER) && EIGEN_CUDACC_VER >= 90000
+  EIGEN_DEVICE_FUNC half(const __half& h) : half_impl::half_base(h) {}
+#endif
+
+  explicit EIGEN_DEVICE_FUNC half(bool b)
+      : half_impl::half_base(half_impl::raw_uint16_to_half(b ? 0x3c00 : 0)) {}
+  template<class T>
+  explicit EIGEN_DEVICE_FUNC half(const T& val)
+      : half_impl::half_base(half_impl::float_to_half_rtne(static_cast<float>(val))) {}
+  explicit EIGEN_DEVICE_FUNC half(float f)
+      : half_impl::half_base(half_impl::float_to_half_rtne(f)) {}
+
+  EIGEN_DEVICE_FUNC EIGEN_EXPLICIT_CAST(bool) const {
+    // +0.0 and -0.0 become false, everything else becomes true.
+    return (x & 0x7fff) != 0;
+  }
+  EIGEN_DEVICE_FUNC EIGEN_EXPLICIT_CAST(signed char) const {
+    return static_cast<signed char>(half_impl::half_to_float(*this));
+  }
+  EIGEN_DEVICE_FUNC EIGEN_EXPLICIT_CAST(unsigned char) const {
+    return static_cast<unsigned char>(half_impl::half_to_float(*this));
+  }
+  EIGEN_DEVICE_FUNC EIGEN_EXPLICIT_CAST(short) const {
+    return static_cast<short>(half_impl::half_to_float(*this));
+  }
+  EIGEN_DEVICE_FUNC EIGEN_EXPLICIT_CAST(unsigned short) const {
+    return static_cast<unsigned short>(half_impl::half_to_float(*this));
+  }
+  EIGEN_DEVICE_FUNC EIGEN_EXPLICIT_CAST(int) const {
+    return static_cast<int>(half_impl::half_to_float(*this));
+  }
+  EIGEN_DEVICE_FUNC EIGEN_EXPLICIT_CAST(unsigned int) const {
+    return static_cast<unsigned int>(half_impl::half_to_float(*this));
+  }
+  EIGEN_DEVICE_FUNC EIGEN_EXPLICIT_CAST(long) const {
+    return static_cast<long>(half_impl::half_to_float(*this));
+  }
+  EIGEN_DEVICE_FUNC EIGEN_EXPLICIT_CAST(unsigned long) const {
+    return static_cast<unsigned long>(half_impl::half_to_float(*this));
+  }
+#if EIGEN_HAS_CXX11
+  EIGEN_DEVICE_FUNC EIGEN_EXPLICIT_CAST(long long) const {
+    return static_cast<long long>(half_impl::half_to_float(*this));
+  }
+  EIGEN_DEVICE_FUNC EIGEN_EXPLICIT_CAST(unsigned long long) const {
+    return static_cast<unsigned long long>(half_to_float(*this));
+  }
+#endif
+  EIGEN_DEVICE_FUNC EIGEN_EXPLICIT_CAST(float) const {
+    return half_impl::half_to_float(*this);
+  }
+  EIGEN_DEVICE_FUNC EIGEN_EXPLICIT_CAST(double) const {
+    return static_cast<double>(half_impl::half_to_float(*this));
+  }
+
+  EIGEN_DEVICE_FUNC half& operator=(const half& other) {
+    x = other.x;
+    return *this;
+  }
+};
+
+} // end namespace Eigen
+
+namespace std {
+template<>
+struct numeric_limits<Eigen::half> {
+  static const bool is_specialized = true;
+  static const bool is_signed = true;
+  static const bool is_integer = false;
+  static const bool is_exact = false;
+  static const bool has_infinity = true;
+  static const bool has_quiet_NaN = true;
+  static const bool has_signaling_NaN = true;
+  static const float_denorm_style has_denorm = denorm_present;
+  static const bool has_denorm_loss = false;
+  static const std::float_round_style round_style = std::round_to_nearest;
+  static const bool is_iec559 = false;
+  static const bool is_bounded = false;
+  static const bool is_modulo = false;
+  static const int digits = 11;
+  static const int digits10 = 3;      // according to http://half.sourceforge.net/structstd_1_1numeric__limits_3_01half__float_1_1half_01_4.html
+  static const int max_digits10 = 5;  // according to http://half.sourceforge.net/structstd_1_1numeric__limits_3_01half__float_1_1half_01_4.html
+  static const int radix = 2;
+  static const int min_exponent = -13;
+  static const int min_exponent10 = -4;
+  static const int max_exponent = 16;
+  static const int max_exponent10 = 4;
+  static const bool traps = true;
+  static const bool tinyness_before = false;
+
+  static Eigen::half (min)() { return Eigen::half_impl::raw_uint16_to_half(0x400); }
+  static Eigen::half lowest() { return Eigen::half_impl::raw_uint16_to_half(0xfbff); }
+  static Eigen::half (max)() { return Eigen::half_impl::raw_uint16_to_half(0x7bff); }
+  static Eigen::half epsilon() { return Eigen::half_impl::raw_uint16_to_half(0x0800); }
+  static Eigen::half round_error() { return Eigen::half(0.5); }
+  static Eigen::half infinity() { return Eigen::half_impl::raw_uint16_to_half(0x7c00); }
+  static Eigen::half quiet_NaN() { return Eigen::half_impl::raw_uint16_to_half(0x7e00); }
+  static Eigen::half signaling_NaN() { return Eigen::half_impl::raw_uint16_to_half(0x7e00); }
+  static Eigen::half denorm_min() { return Eigen::half_impl::raw_uint16_to_half(0x1); }
+};
+
+// If std::numeric_limits<T> is specialized, should also specialize
+// std::numeric_limits<const T>, std::numeric_limits<volatile T>, and
+// std::numeric_limits<const volatile T>
+// https://stackoverflow.com/a/16519653/
+template<>
+struct numeric_limits<const Eigen::half> : numeric_limits<Eigen::half> {};
+template<>
+struct numeric_limits<volatile Eigen::half> : numeric_limits<Eigen::half> {};
+template<>
+struct numeric_limits<const volatile Eigen::half> : numeric_limits<Eigen::half> {};
+} // end namespace std
+
+namespace Eigen {
+
+namespace half_impl {
+
+#if defined(EIGEN_HAS_CUDA_FP16) && defined(EIGEN_CUDA_ARCH) && EIGEN_CUDA_ARCH >= 530
+
+// Intrinsics for native fp16 support. Note that on current hardware,
+// these are no faster than float32_bits arithmetic (you need to use the half2
+// versions to get the ALU speed increased), but you do save the
+// conversion steps back and forth.
+
+EIGEN_STRONG_INLINE __device__ half operator + (const half& a, const half& b) {
+  return __hadd(a, b);
+}
+EIGEN_STRONG_INLINE __device__ half operator * (const half& a, const half& b) {
+  return __hmul(a, b);
+}
+EIGEN_STRONG_INLINE __device__ half operator - (const half& a, const half& b) {
+  return __hsub(a, b);
+}
+EIGEN_STRONG_INLINE __device__ half operator / (const half& a, const half& b) {
+  float num = __half2float(a);
+  float denom = __half2float(b);
+  return __float2half(num / denom);
+}
+EIGEN_STRONG_INLINE __device__ half operator - (const half& a) {
+  return __hneg(a);
+}
+EIGEN_STRONG_INLINE __device__ half& operator += (half& a, const half& b) {
+  a = a + b;
+  return a;
+}
+EIGEN_STRONG_INLINE __device__ half& operator *= (half& a, const half& b) {
+  a = a * b;
+  return a;
+}
+EIGEN_STRONG_INLINE __device__ half& operator -= (half& a, const half& b) {
+  a = a - b;
+  return a;
+}
+EIGEN_STRONG_INLINE __device__ half& operator /= (half& a, const half& b) {
+  a = a / b;
+  return a;
+}
+EIGEN_STRONG_INLINE __device__ bool operator == (const half& a, const half& b) {
+  return __heq(a, b);
+}
+EIGEN_STRONG_INLINE __device__ bool operator != (const half& a, const half& b) {
+  return __hne(a, b);
+}
+EIGEN_STRONG_INLINE __device__ bool operator < (const half& a, const half& b) {
+  return __hlt(a, b);
+}
+EIGEN_STRONG_INLINE __device__ bool operator <= (const half& a, const half& b) {
+  return __hle(a, b);
+}
+EIGEN_STRONG_INLINE __device__ bool operator > (const half& a, const half& b) {
+  return __hgt(a, b);
+}
+EIGEN_STRONG_INLINE __device__ bool operator >= (const half& a, const half& b) {
+  return __hge(a, b);
+}
+
+#else  // Emulate support for half floats
+
+// Definitions for CPUs and older CUDA, mostly working through conversion
+// to/from float32_bits.
+
+EIGEN_STRONG_INLINE EIGEN_DEVICE_FUNC half operator + (const half& a, const half& b) {
+  return half(float(a) + float(b));
+}
+EIGEN_STRONG_INLINE EIGEN_DEVICE_FUNC half operator * (const half& a, const half& b) {
+  return half(float(a) * float(b));
+}
+EIGEN_STRONG_INLINE EIGEN_DEVICE_FUNC half operator - (const half& a, const half& b) {
+  return half(float(a) - float(b));
+}
+EIGEN_STRONG_INLINE EIGEN_DEVICE_FUNC half operator / (const half& a, const half& b) {
+  return half(float(a) / float(b));
+}
+EIGEN_STRONG_INLINE EIGEN_DEVICE_FUNC half operator - (const half& a) {
+  half result;
+  result.x = a.x ^ 0x8000;
+  return result;
+}
+EIGEN_STRONG_INLINE EIGEN_DEVICE_FUNC half& operator += (half& a, const half& b) {
+  a = half(float(a) + float(b));
+  return a;
+}
+EIGEN_STRONG_INLINE EIGEN_DEVICE_FUNC half& operator *= (half& a, const half& b) {
+  a = half(float(a) * float(b));
+  return a;
+}
+EIGEN_STRONG_INLINE EIGEN_DEVICE_FUNC half& operator -= (half& a, const half& b) {
+  a = half(float(a) - float(b));
+  return a;
+}
+EIGEN_STRONG_INLINE EIGEN_DEVICE_FUNC half& operator /= (half& a, const half& b) {
+  a = half(float(a) / float(b));
+  return a;
+}
+EIGEN_STRONG_INLINE EIGEN_DEVICE_FUNC bool operator == (const half& a, const half& b) {
+  return numext::equal_strict(float(a),float(b));
+}
+EIGEN_STRONG_INLINE EIGEN_DEVICE_FUNC bool operator != (const half& a, const half& b) {
+  return numext::not_equal_strict(float(a), float(b));
+}
+EIGEN_STRONG_INLINE EIGEN_DEVICE_FUNC bool operator < (const half& a, const half& b) {
+  return float(a) < float(b);
+}
+EIGEN_STRONG_INLINE EIGEN_DEVICE_FUNC bool operator <= (const half& a, const half& b) {
+  return float(a) <= float(b);
+}
+EIGEN_STRONG_INLINE EIGEN_DEVICE_FUNC bool operator > (const half& a, const half& b) {
+  return float(a) > float(b);
+}
+EIGEN_STRONG_INLINE EIGEN_DEVICE_FUNC bool operator >= (const half& a, const half& b) {
+  return float(a) >= float(b);
+}
+
+#endif  // Emulate support for half floats
+
+// Division by an index. Do it in full float precision to avoid accuracy
+// issues in converting the denominator to half.
+EIGEN_STRONG_INLINE EIGEN_DEVICE_FUNC half operator / (const half& a, Index b) {
+  return half(static_cast<float>(a) / static_cast<float>(b));
+}
+
+// Conversion routines, including fallbacks for the host or older CUDA.
+// Note that newer Intel CPUs (Haswell or newer) have vectorized versions of
+// these in hardware. If we need more performance on older/other CPUs, they are
+// also possible to vectorize directly.
+
+EIGEN_STRONG_INLINE EIGEN_DEVICE_FUNC __half_raw raw_uint16_to_half(unsigned short x) {
+  __half_raw h;
+  h.x = x;
+  return h;
+}
+
+union float32_bits {
+  unsigned int u;
+  float f;
+};
+
+EIGEN_STRONG_INLINE EIGEN_DEVICE_FUNC __half_raw float_to_half_rtne(float ff) {
+#if defined(EIGEN_HAS_CUDA_FP16) && defined(EIGEN_CUDA_ARCH) && EIGEN_CUDA_ARCH >= 300
+  __half tmp_ff = __float2half(ff);
+  return *(__half_raw*)&tmp_ff;
+
+#elif defined(EIGEN_HAS_FP16_C)
+  __half_raw h;
+  h.x = _cvtss_sh(ff, 0);
+  return h;
+
+#else
+  float32_bits f; f.f = ff;
+
+  const float32_bits f32infty = { 255 << 23 };
+  const float32_bits f16max = { (127 + 16) << 23 };
+  const float32_bits denorm_magic = { ((127 - 15) + (23 - 10) + 1) << 23 };
+  unsigned int sign_mask = 0x80000000u;
+  __half_raw o;
+  o.x = static_cast<unsigned short>(0x0u);
+
+  unsigned int sign = f.u & sign_mask;
+  f.u ^= sign;
+
+  // NOTE all the integer compares in this function can be safely
+  // compiled into signed compares since all operands are below
+  // 0x80000000. Important if you want fast straight SSE2 code
+  // (since there's no unsigned PCMPGTD).
+
+  if (f.u >= f16max.u) {  // result is Inf or NaN (all exponent bits set)
+    o.x = (f.u > f32infty.u) ? 0x7e00 : 0x7c00; // NaN->qNaN and Inf->Inf
+  } else {  // (De)normalized number or zero
+    if (f.u < (113 << 23)) {  // resulting FP16 is subnormal or zero
+      // use a magic value to align our 10 mantissa bits at the bottom of
+      // the float. as long as FP addition is round-to-nearest-even this
+      // just works.
+      f.f += denorm_magic.f;
+
+      // and one integer subtract of the bias later, we have our final float!
+      o.x = static_cast<unsigned short>(f.u - denorm_magic.u);
+    } else {
+      unsigned int mant_odd = (f.u >> 13) & 1; // resulting mantissa is odd
+
+      // update exponent, rounding bias part 1
+      f.u += ((unsigned int)(15 - 127) << 23) + 0xfff;
+      // rounding bias part 2
+      f.u += mant_odd;
+      // take the bits!
+      o.x = static_cast<unsigned short>(f.u >> 13);
+    }
+  }
+
+  o.x |= static_cast<unsigned short>(sign >> 16);
+  return o;
+#endif
+}
+
+EIGEN_STRONG_INLINE EIGEN_DEVICE_FUNC float half_to_float(__half_raw h) {
+#if defined(EIGEN_HAS_CUDA_FP16) && defined(EIGEN_CUDA_ARCH) && EIGEN_CUDA_ARCH >= 300
+  return __half2float(h);
+
+#elif defined(EIGEN_HAS_FP16_C)
+  return _cvtsh_ss(h.x);
+
+#else
+  const float32_bits magic = { 113 << 23 };
+  const unsigned int shifted_exp = 0x7c00 << 13; // exponent mask after shift
+  float32_bits o;
+
+  o.u = (h.x & 0x7fff) << 13;             // exponent/mantissa bits
+  unsigned int exp = shifted_exp & o.u;   // just the exponent
+  o.u += (127 - 15) << 23;                // exponent adjust
+
+  // handle exponent special cases
+  if (exp == shifted_exp) {     // Inf/NaN?
+    o.u += (128 - 16) << 23;    // extra exp adjust
+  } else if (exp == 0) {        // Zero/Denormal?
+    o.u += 1 << 23;             // extra exp adjust
+    o.f -= magic.f;             // renormalize
+  }
+
+  o.u |= (h.x & 0x8000) << 16;    // sign bit
+  return o.f;
+#endif
+}
+
+// --- standard functions ---
+
+EIGEN_STRONG_INLINE EIGEN_DEVICE_FUNC bool (isinf)(const half& a) {
+  return (a.x & 0x7fff) == 0x7c00;
+}
+EIGEN_STRONG_INLINE EIGEN_DEVICE_FUNC bool (isnan)(const half& a) {
+#if defined(EIGEN_HAS_CUDA_FP16) && defined(EIGEN_CUDA_ARCH) && EIGEN_CUDA_ARCH >= 530
+  return __hisnan(a);
+#else
+  return (a.x & 0x7fff) > 0x7c00;
+#endif
+}
+EIGEN_STRONG_INLINE EIGEN_DEVICE_FUNC bool (isfinite)(const half& a) {
+  return !(isinf EIGEN_NOT_A_MACRO (a)) && !(isnan EIGEN_NOT_A_MACRO (a));
+}
+
+EIGEN_STRONG_INLINE EIGEN_DEVICE_FUNC half abs(const half& a) {
+  half result;
+  result.x = a.x & 0x7FFF;
+  return result;
+}
+EIGEN_STRONG_INLINE EIGEN_DEVICE_FUNC half exp(const half& a) {
+#if EIGEN_CUDACC_VER >= 80000 && defined EIGEN_CUDA_ARCH && EIGEN_CUDA_ARCH >= 530
+  return half(hexp(a));
+#else
+   return half(::expf(float(a)));
+#endif
+}
+EIGEN_STRONG_INLINE EIGEN_DEVICE_FUNC half log(const half& a) {
+#if defined(EIGEN_HAS_CUDA_FP16) && EIGEN_CUDACC_VER >= 80000 && defined(EIGEN_CUDA_ARCH) && EIGEN_CUDA_ARCH >= 530
+  return half(::hlog(a));
+#else
+  return half(::logf(float(a)));
+#endif
+}
+EIGEN_STRONG_INLINE EIGEN_DEVICE_FUNC half log1p(const half& a) {
+  return half(numext::log1p(float(a)));
+}
+EIGEN_STRONG_INLINE EIGEN_DEVICE_FUNC half log10(const half& a) {
+  return half(::log10f(float(a)));
+}
+EIGEN_STRONG_INLINE EIGEN_DEVICE_FUNC half sqrt(const half& a) {
+#if EIGEN_CUDACC_VER >= 80000 && defined EIGEN_CUDA_ARCH && EIGEN_CUDA_ARCH >= 530
+  return half(hsqrt(a));
+#else
+    return half(::sqrtf(float(a)));
+#endif
+}
+EIGEN_STRONG_INLINE EIGEN_DEVICE_FUNC half pow(const half& a, const half& b) {
+  return half(::powf(float(a), float(b)));
+}
+EIGEN_STRONG_INLINE EIGEN_DEVICE_FUNC half sin(const half& a) {
+  return half(::sinf(float(a)));
+}
+EIGEN_STRONG_INLINE EIGEN_DEVICE_FUNC half cos(const half& a) {
+  return half(::cosf(float(a)));
+}
+EIGEN_STRONG_INLINE EIGEN_DEVICE_FUNC half tan(const half& a) {
+  return half(::tanf(float(a)));
+}
+EIGEN_STRONG_INLINE EIGEN_DEVICE_FUNC half tanh(const half& a) {
+  return half(::tanhf(float(a)));
+}
+EIGEN_STRONG_INLINE EIGEN_DEVICE_FUNC half floor(const half& a) {
+#if EIGEN_CUDACC_VER >= 80000 && defined EIGEN_CUDA_ARCH && EIGEN_CUDA_ARCH >= 300
+  return half(hfloor(a));
+#else
+  return half(::floorf(float(a)));
+#endif
+}
+EIGEN_STRONG_INLINE EIGEN_DEVICE_FUNC half ceil(const half& a) {
+#if EIGEN_CUDACC_VER >= 80000 && defined EIGEN_CUDA_ARCH && EIGEN_CUDA_ARCH >= 300
+  return half(hceil(a));
+#else
+  return half(::ceilf(float(a)));
+#endif
+}
+
+EIGEN_STRONG_INLINE EIGEN_DEVICE_FUNC half (min)(const half& a, const half& b) {
+#if defined(EIGEN_HAS_CUDA_FP16) && defined(EIGEN_CUDA_ARCH) && EIGEN_CUDA_ARCH >= 530
+  return __hlt(b, a) ? b : a;
+#else
+  const float f1 = static_cast<float>(a);
+  const float f2 = static_cast<float>(b);
+  return f2 < f1 ? b : a;
+#endif
+}
+EIGEN_STRONG_INLINE EIGEN_DEVICE_FUNC half (max)(const half& a, const half& b) {
+#if defined(EIGEN_HAS_CUDA_FP16) && defined(EIGEN_CUDA_ARCH) && EIGEN_CUDA_ARCH >= 530
+  return __hlt(a, b) ? b : a;
+#else
+  const float f1 = static_cast<float>(a);
+  const float f2 = static_cast<float>(b);
+  return f1 < f2 ? b : a;
+#endif
+}
+
+EIGEN_ALWAYS_INLINE std::ostream& operator << (std::ostream& os, const half& v) {
+  os << static_cast<float>(v);
+  return os;
+}
+
+} // end namespace half_impl
+
+// import Eigen::half_impl::half into Eigen namespace
+// using half_impl::half;
+
+namespace internal {
+
+template<>
+struct random_default_impl<half, false, false>
+{
+  static inline half run(const half& x, const half& y)
+  {
+    return x + (y-x) * half(float(std::rand()) / float(RAND_MAX));
+  }
+  static inline half run()
+  {
+    return run(half(-1.f), half(1.f));
+  }
+};
+
+template<> struct is_arithmetic<half> { enum { value = true }; };
+
+} // end namespace internal
+
+template<> struct NumTraits<Eigen::half>
+    : GenericNumTraits<Eigen::half>
+{
+  enum {
+    IsSigned = true,
+    IsInteger = false,
+    IsComplex = false,
+    RequireInitialization = false
+  };
+
+  EIGEN_DEVICE_FUNC static EIGEN_STRONG_INLINE Eigen::half epsilon() {
+    return half_impl::raw_uint16_to_half(0x0800);
+  }
+  EIGEN_DEVICE_FUNC static EIGEN_STRONG_INLINE Eigen::half dummy_precision() { return Eigen::half(1e-2f); }
+  EIGEN_DEVICE_FUNC static EIGEN_STRONG_INLINE Eigen::half highest() {
+    return half_impl::raw_uint16_to_half(0x7bff);
+  }
+  EIGEN_DEVICE_FUNC static EIGEN_STRONG_INLINE Eigen::half lowest() {
+    return half_impl::raw_uint16_to_half(0xfbff);
+  }
+  EIGEN_DEVICE_FUNC static EIGEN_STRONG_INLINE Eigen::half infinity() {
+    return half_impl::raw_uint16_to_half(0x7c00);
+  }
+  EIGEN_DEVICE_FUNC static EIGEN_STRONG_INLINE Eigen::half quiet_NaN() {
+    return half_impl::raw_uint16_to_half(0x7c01);
+  }
+};
+
+} // end namespace Eigen
+
+// C-like standard mathematical functions and trancendentals.
+EIGEN_STRONG_INLINE EIGEN_DEVICE_FUNC Eigen::half fabsh(const Eigen::half& a) {
+  Eigen::half result;
+  result.x = a.x & 0x7FFF;
+  return result;
+}
+EIGEN_STRONG_INLINE EIGEN_DEVICE_FUNC Eigen::half exph(const Eigen::half& a) {
+  return Eigen::half(::expf(float(a)));
+}
+EIGEN_STRONG_INLINE EIGEN_DEVICE_FUNC Eigen::half logh(const Eigen::half& a) {
+#if EIGEN_CUDACC_VER >= 80000 && defined(EIGEN_CUDA_ARCH) && EIGEN_CUDA_ARCH >= 530
+  return Eigen::half(::hlog(a));
+#else
+  return Eigen::half(::logf(float(a)));
+#endif
+}
+EIGEN_STRONG_INLINE EIGEN_DEVICE_FUNC Eigen::half sqrth(const Eigen::half& a) {
+  return Eigen::half(::sqrtf(float(a)));
+}
+EIGEN_STRONG_INLINE EIGEN_DEVICE_FUNC Eigen::half powh(const Eigen::half& a, const Eigen::half& b) {
+  return Eigen::half(::powf(float(a), float(b)));
+}
+EIGEN_STRONG_INLINE EIGEN_DEVICE_FUNC Eigen::half floorh(const Eigen::half& a) {
+  return Eigen::half(::floorf(float(a)));
+}
+EIGEN_STRONG_INLINE EIGEN_DEVICE_FUNC Eigen::half ceilh(const Eigen::half& a) {
+  return Eigen::half(::ceilf(float(a)));
+}
+
+namespace std {
+
+#if __cplusplus > 199711L
+template <>
+struct hash<Eigen::half> {
+  EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE std::size_t operator()(const Eigen::half& a) const {
+    return static_cast<std::size_t>(a.x);
+  }
+};
+#endif
+
+} // end namespace std
+
+
+// Add the missing shfl_xor intrinsic
+#if defined(EIGEN_CUDA_ARCH) && EIGEN_CUDA_ARCH >= 300
+__device__ EIGEN_STRONG_INLINE Eigen::half __shfl_xor(Eigen::half var, int laneMask, int width=warpSize) {
+  #if EIGEN_CUDACC_VER < 90000
+  return static_cast<Eigen::half>(__shfl_xor(static_cast<float>(var), laneMask, width));
+  #else
+  return static_cast<Eigen::half>(__shfl_xor_sync(0xFFFFFFFF, static_cast<float>(var), laneMask, width));
+  #endif
+}
+#endif
+
+// ldg() has an overload for __half_raw, but we also need one for Eigen::half.
+#if defined(EIGEN_CUDA_ARCH) && EIGEN_CUDA_ARCH >= 350
+EIGEN_STRONG_INLINE EIGEN_DEVICE_FUNC Eigen::half __ldg(const Eigen::half* ptr) {
+  return Eigen::half_impl::raw_uint16_to_half(
+      __ldg(reinterpret_cast<const unsigned short*>(ptr)));
+}
+#endif
+
+
+#if defined(EIGEN_CUDA_ARCH)
+namespace Eigen {
+namespace numext {
+
+template<>
+EIGEN_DEVICE_FUNC EIGEN_ALWAYS_INLINE
+bool (isnan)(const Eigen::half& h) {
+  return (half_impl::isnan)(h);
+}
+
+template<>
+EIGEN_DEVICE_FUNC EIGEN_ALWAYS_INLINE
+bool (isinf)(const Eigen::half& h) {
+  return (half_impl::isinf)(h);
+}
+
+template<>
+EIGEN_DEVICE_FUNC EIGEN_ALWAYS_INLINE
+bool (isfinite)(const Eigen::half& h) {
+  return (half_impl::isfinite)(h);
+}
+
+} // namespace Eigen
+}  // namespace numext
+#endif
+
+#endif // EIGEN_HALF_CUDA_H
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/arch/CUDA/TypeCasting.h
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/arch/CUDA/TypeCasting.h	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/arch/CUDA/TypeCasting.h	(revision 3761)
@@ -0,0 +1,212 @@
+// This file is part of Eigen, a lightweight C++ template library
+// for linear algebra.
+//
+// Copyright (C) 2016 Benoit Steiner <benoit.steiner.goog@gmail.com>
+//
+// This Source Code Form is subject to the terms of the Mozilla
+// Public License v. 2.0. If a copy of the MPL was not distributed
+// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
+
+#ifndef EIGEN_TYPE_CASTING_CUDA_H
+#define EIGEN_TYPE_CASTING_CUDA_H
+
+namespace Eigen {
+
+namespace internal {
+
+template<>
+struct scalar_cast_op<float, Eigen::half> {
+  EIGEN_EMPTY_STRUCT_CTOR(scalar_cast_op)
+  typedef Eigen::half result_type;
+  EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE Eigen::half operator() (const float& a) const {
+    #if defined(EIGEN_HAS_CUDA_FP16) && defined(__CUDA_ARCH__) && __CUDA_ARCH__ >= 300
+      return __float2half(a);
+    #else
+      return Eigen::half(a);
+    #endif
+  }
+};
+
+template<>
+struct functor_traits<scalar_cast_op<float, Eigen::half> >
+{ enum { Cost = NumTraits<float>::AddCost, PacketAccess = false }; };
+
+
+template<>
+struct scalar_cast_op<int, Eigen::half> {
+  EIGEN_EMPTY_STRUCT_CTOR(scalar_cast_op)
+  typedef Eigen::half result_type;
+  EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE Eigen::half operator() (const int& a) const {
+    #if defined(EIGEN_HAS_CUDA_FP16) && defined(__CUDA_ARCH__) && __CUDA_ARCH__ >= 300
+      return __float2half(static_cast<float>(a));
+    #else
+      return Eigen::half(static_cast<float>(a));
+    #endif
+  }
+};
+
+template<>
+struct functor_traits<scalar_cast_op<int, Eigen::half> >
+{ enum { Cost = NumTraits<float>::AddCost, PacketAccess = false }; };
+
+
+template<>
+struct scalar_cast_op<Eigen::half, float> {
+  EIGEN_EMPTY_STRUCT_CTOR(scalar_cast_op)
+  typedef float result_type;
+  EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE float operator() (const Eigen::half& a) const {
+    #if defined(EIGEN_HAS_CUDA_FP16) && defined(__CUDA_ARCH__) && __CUDA_ARCH__ >= 300
+      return __half2float(a);
+    #else
+      return static_cast<float>(a);
+    #endif
+  }
+};
+
+template<>
+struct functor_traits<scalar_cast_op<Eigen::half, float> >
+{ enum { Cost = NumTraits<float>::AddCost, PacketAccess = false }; };
+
+
+
+#if defined(EIGEN_HAS_CUDA_FP16) && defined(__CUDA_ARCH__) && __CUDA_ARCH__ >= 300
+
+template <>
+struct type_casting_traits<Eigen::half, float> {
+  enum {
+    VectorizedCast = 1,
+    SrcCoeffRatio = 2,
+    TgtCoeffRatio = 1
+  };
+};
+
+template<> EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE float4 pcast<half2, float4>(const half2& a, const half2& b) {
+  float2 r1 = __half22float2(a);
+  float2 r2 = __half22float2(b);
+  return make_float4(r1.x, r1.y, r2.x, r2.y);
+}
+
+template <>
+struct type_casting_traits<float, Eigen::half> {
+  enum {
+    VectorizedCast = 1,
+    SrcCoeffRatio = 1,
+    TgtCoeffRatio = 2
+  };
+};
+
+template<> EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE half2 pcast<float4, half2>(const float4& a) {
+  // Simply discard the second half of the input
+  return __floats2half2_rn(a.x, a.y);
+}
+
+#elif defined EIGEN_VECTORIZE_AVX512
+template <>
+struct type_casting_traits<half, float> {
+  enum {
+    VectorizedCast = 1,
+    SrcCoeffRatio = 1,
+    TgtCoeffRatio = 1
+  };
+};
+
+template<> EIGEN_STRONG_INLINE Packet16f pcast<Packet16h, Packet16f>(const Packet16h& a) {
+  return half2float(a);
+}
+
+template <>
+struct type_casting_traits<float, half> {
+  enum {
+    VectorizedCast = 1,
+    SrcCoeffRatio = 1,
+    TgtCoeffRatio = 1
+  };
+};
+
+template<> EIGEN_STRONG_INLINE Packet16h pcast<Packet16f, Packet16h>(const Packet16f& a) {
+  return float2half(a);
+}
+
+#elif defined EIGEN_VECTORIZE_AVX
+
+template <>
+struct type_casting_traits<Eigen::half, float> {
+  enum {
+    VectorizedCast = 1,
+    SrcCoeffRatio = 1,
+    TgtCoeffRatio = 1
+  };
+};
+
+template<> EIGEN_STRONG_INLINE Packet8f pcast<Packet8h, Packet8f>(const Packet8h& a) {
+  return half2float(a);
+}
+
+template <>
+struct type_casting_traits<float, Eigen::half> {
+  enum {
+    VectorizedCast = 1,
+    SrcCoeffRatio = 1,
+    TgtCoeffRatio = 1
+  };
+};
+
+template<> EIGEN_STRONG_INLINE Packet8h pcast<Packet8f, Packet8h>(const Packet8f& a) {
+  return float2half(a);
+}
+
+// Disable the following code since it's broken on too many platforms / compilers.
+//#elif defined(EIGEN_VECTORIZE_SSE) && (!EIGEN_ARCH_x86_64) && (!EIGEN_COMP_MSVC)
+#elif 0
+
+template <>
+struct type_casting_traits<Eigen::half, float> {
+  enum {
+    VectorizedCast = 1,
+    SrcCoeffRatio = 1,
+    TgtCoeffRatio = 1
+  };
+};
+
+template<> EIGEN_STRONG_INLINE Packet4f pcast<Packet4h, Packet4f>(const Packet4h& a) {
+  __int64_t a64 = _mm_cvtm64_si64(a.x);
+  Eigen::half h = raw_uint16_to_half(static_cast<unsigned short>(a64));
+  float f1 = static_cast<float>(h);
+  h = raw_uint16_to_half(static_cast<unsigned short>(a64 >> 16));
+  float f2 = static_cast<float>(h);
+  h = raw_uint16_to_half(static_cast<unsigned short>(a64 >> 32));
+  float f3 = static_cast<float>(h);
+  h = raw_uint16_to_half(static_cast<unsigned short>(a64 >> 48));
+  float f4 = static_cast<float>(h);
+  return _mm_set_ps(f4, f3, f2, f1);
+}
+
+template <>
+struct type_casting_traits<float, Eigen::half> {
+  enum {
+    VectorizedCast = 1,
+    SrcCoeffRatio = 1,
+    TgtCoeffRatio = 1
+  };
+};
+
+template<> EIGEN_STRONG_INLINE Packet4h pcast<Packet4f, Packet4h>(const Packet4f& a) {
+  EIGEN_ALIGN16 float aux[4];
+  pstore(aux, a);
+  Eigen::half h0(aux[0]);
+  Eigen::half h1(aux[1]);
+  Eigen::half h2(aux[2]);
+  Eigen::half h3(aux[3]);
+
+  Packet4h result;
+  result.x = _mm_set_pi16(h3.x, h2.x, h1.x, h0.x);
+  return result;
+}
+
+#endif
+
+} // end namespace internal
+
+} // end namespace Eigen
+
+#endif // EIGEN_TYPE_CASTING_CUDA_H
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/arch/CUDA/PacketMathHalf.h
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/arch/CUDA/PacketMathHalf.h	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/arch/CUDA/PacketMathHalf.h	(revision 3761)
@@ -0,0 +1,1124 @@
+// This file is part of Eigen, a lightweight C++ template library
+// for linear algebra.
+//
+// Copyright (C) 2016 Benoit Steiner <benoit.steiner.goog@gmail.com>
+//
+// This Source Code Form is subject to the terms of the Mozilla
+// Public License v. 2.0. If a copy of the MPL was not distributed
+// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
+
+#ifndef EIGEN_PACKET_MATH_HALF_CUDA_H
+#define EIGEN_PACKET_MATH_HALF_CUDA_H
+
+
+namespace Eigen {
+namespace internal {
+
+// Most of the following operations require arch >= 3.0
+#if defined(EIGEN_HAS_CUDA_FP16) && defined(__CUDACC__) && defined(__CUDA_ARCH__) && __CUDA_ARCH__ >= 300
+
+template<> struct is_arithmetic<half2> { enum { value = true }; };
+
+template<> struct packet_traits<Eigen::half> : default_packet_traits
+{
+  typedef half2 type;
+  typedef half2 half;
+  enum {
+    Vectorizable = 1,
+    AlignedOnScalar = 1,
+    size=2,
+    HasHalfPacket = 0,
+    HasAdd    = 1,
+    HasMul    = 1,
+    HasDiv    = 1,
+    HasSqrt   = 1,
+    HasRsqrt  = 1,
+    HasExp    = 1,
+    HasLog    = 1,
+    HasLog1p  = 1
+  };
+};
+
+template<> struct unpacket_traits<half2> { typedef Eigen::half type; enum {size=2, alignment=Aligned16}; typedef half2 half; };
+
+template<> __device__ EIGEN_STRONG_INLINE half2 pset1<half2>(const Eigen::half& from) {
+  return __half2half2(from);
+}
+
+template<> __device__ EIGEN_STRONG_INLINE half2 pload<half2>(const Eigen::half* from) {
+  return *reinterpret_cast<const half2*>(from);
+}
+
+template<> __device__ EIGEN_STRONG_INLINE half2 ploadu<half2>(const Eigen::half* from) {
+  return __halves2half2(from[0], from[1]);
+}
+
+template<> EIGEN_STRONG_INLINE half2 ploaddup<half2>(const Eigen::half*  from) {
+  return __halves2half2(from[0], from[0]);
+}
+
+template<> __device__ EIGEN_STRONG_INLINE void pstore<Eigen::half>(Eigen::half* to, const half2& from) {
+  *reinterpret_cast<half2*>(to) = from;
+}
+
+template<> __device__ EIGEN_STRONG_INLINE void pstoreu<Eigen::half>(Eigen::half* to, const half2& from) {
+  to[0] = __low2half(from);
+  to[1] = __high2half(from);
+}
+
+template<>
+ __device__ EIGEN_ALWAYS_INLINE half2 ploadt_ro<half2, Aligned>(const Eigen::half* from) {
+#if __CUDA_ARCH__ >= 350
+   return __ldg((const half2*)from);
+#else
+  return __halves2half2(*(from+0), *(from+1));
+#endif
+}
+
+template<>
+__device__ EIGEN_ALWAYS_INLINE half2 ploadt_ro<half2, Unaligned>(const Eigen::half* from) {
+#if __CUDA_ARCH__ >= 350
+   return __halves2half2(__ldg(from+0), __ldg(from+1));
+#else
+  return __halves2half2(*(from+0), *(from+1));
+#endif
+}
+
+template<> __device__ EIGEN_STRONG_INLINE half2 pgather<Eigen::half, half2>(const Eigen::half* from, Index stride) {
+  return __halves2half2(from[0*stride], from[1*stride]);
+}
+
+template<> __device__ EIGEN_STRONG_INLINE void pscatter<Eigen::half, half2>(Eigen::half* to, const half2& from, Index stride) {
+  to[stride*0] = __low2half(from);
+  to[stride*1] = __high2half(from);
+}
+
+template<> __device__ EIGEN_STRONG_INLINE Eigen::half pfirst<half2>(const half2& a) {
+  return __low2half(a);
+}
+
+template<> __device__ EIGEN_STRONG_INLINE half2 pabs<half2>(const half2& a) {
+  half2 result;
+  unsigned temp = *(reinterpret_cast<const unsigned*>(&(a)));
+  *(reinterpret_cast<unsigned*>(&(result))) = temp & 0x7FFF7FFF;
+  return result;
+}
+
+
+__device__ EIGEN_STRONG_INLINE void
+ptranspose(PacketBlock<half2,2>& kernel) {
+  __half a1 = __low2half(kernel.packet[0]);
+  __half a2 = __high2half(kernel.packet[0]);
+  __half b1 = __low2half(kernel.packet[1]);
+  __half b2 = __high2half(kernel.packet[1]);
+  kernel.packet[0] = __halves2half2(a1, b1);
+  kernel.packet[1] = __halves2half2(a2, b2);
+}
+
+template<> __device__ EIGEN_STRONG_INLINE half2 plset<half2>(const Eigen::half& a) {
+#if __CUDA_ARCH__ >= 530
+  return __halves2half2(a, __hadd(a, __float2half(1.0f)));
+#else
+  float f = __half2float(a) + 1.0f;
+  return __halves2half2(a, __float2half(f));
+#endif
+}
+
+template<> __device__ EIGEN_STRONG_INLINE half2 padd<half2>(const half2& a, const half2& b) {
+#if __CUDA_ARCH__ >= 530
+  return __hadd2(a, b);
+#else
+  float a1 = __low2float(a);
+  float a2 = __high2float(a);
+  float b1 = __low2float(b);
+  float b2 = __high2float(b);
+  float r1 = a1 + b1;
+  float r2 = a2 + b2;
+  return __floats2half2_rn(r1, r2);
+#endif
+}
+
+template<> __device__ EIGEN_STRONG_INLINE half2 psub<half2>(const half2& a, const half2& b) {
+#if __CUDA_ARCH__ >= 530
+  return __hsub2(a, b);
+#else
+  float a1 = __low2float(a);
+  float a2 = __high2float(a);
+  float b1 = __low2float(b);
+  float b2 = __high2float(b);
+  float r1 = a1 - b1;
+  float r2 = a2 - b2;
+  return __floats2half2_rn(r1, r2);
+#endif
+}
+
+template<> __device__ EIGEN_STRONG_INLINE half2 pnegate(const half2& a) {
+#if __CUDA_ARCH__ >= 530
+  return __hneg2(a);
+#else
+  float a1 = __low2float(a);
+  float a2 = __high2float(a);
+  return __floats2half2_rn(-a1, -a2);
+#endif
+}
+
+template<> __device__ EIGEN_STRONG_INLINE half2 pconj(const half2& a) { return a; }
+
+template<> __device__ EIGEN_STRONG_INLINE half2 pmul<half2>(const half2& a, const half2& b) {
+#if __CUDA_ARCH__ >= 530
+  return __hmul2(a, b);
+#else
+  float a1 = __low2float(a);
+  float a2 = __high2float(a);
+  float b1 = __low2float(b);
+  float b2 = __high2float(b);
+  float r1 = a1 * b1;
+  float r2 = a2 * b2;
+  return __floats2half2_rn(r1, r2);
+#endif
+}
+
+template<> __device__ EIGEN_STRONG_INLINE half2 pmadd<half2>(const half2& a, const half2& b, const half2& c) {
+#if __CUDA_ARCH__ >= 530
+   return __hfma2(a, b, c);
+#else
+  float a1 = __low2float(a);
+  float a2 = __high2float(a);
+  float b1 = __low2float(b);
+  float b2 = __high2float(b);
+  float c1 = __low2float(c);
+  float c2 = __high2float(c);
+  float r1 = a1 * b1 + c1;
+  float r2 = a2 * b2 + c2;
+  return __floats2half2_rn(r1, r2);
+#endif
+}
+
+template<> __device__ EIGEN_STRONG_INLINE half2 pdiv<half2>(const half2& a, const half2& b) {
+  float a1 = __low2float(a);
+  float a2 = __high2float(a);
+  float b1 = __low2float(b);
+  float b2 = __high2float(b);
+  float r1 = a1 / b1;
+  float r2 = a2 / b2;
+  return __floats2half2_rn(r1, r2);
+}
+
+template<> __device__ EIGEN_STRONG_INLINE half2 pmin<half2>(const half2& a, const half2& b) {
+  float a1 = __low2float(a);
+  float a2 = __high2float(a);
+  float b1 = __low2float(b);
+  float b2 = __high2float(b);
+  __half r1 = a1 < b1 ? __low2half(a) : __low2half(b);
+  __half r2 = a2 < b2 ? __high2half(a) : __high2half(b);
+  return __halves2half2(r1, r2);
+}
+
+template<> __device__ EIGEN_STRONG_INLINE half2 pmax<half2>(const half2& a, const half2& b) {
+  float a1 = __low2float(a);
+  float a2 = __high2float(a);
+  float b1 = __low2float(b);
+  float b2 = __high2float(b);
+  __half r1 = a1 > b1 ? __low2half(a) : __low2half(b);
+  __half r2 = a2 > b2 ? __high2half(a) : __high2half(b);
+  return __halves2half2(r1, r2);
+}
+
+template<> __device__ EIGEN_STRONG_INLINE Eigen::half predux<half2>(const half2& a) {
+#if __CUDA_ARCH__ >= 530
+  return __hadd(__low2half(a), __high2half(a));
+#else
+  float a1 = __low2float(a);
+  float a2 = __high2float(a);
+  return Eigen::half(__float2half_rn(a1 + a2));
+#endif
+}
+
+template<> __device__ EIGEN_STRONG_INLINE Eigen::half predux_max<half2>(const half2& a) {
+#if __CUDA_ARCH__ >= 530
+  __half first = __low2half(a);
+  __half second = __high2half(a);
+  return __hgt(first, second) ? first : second;
+#else
+  float a1 = __low2float(a);
+  float a2 = __high2float(a);
+  return a1 > a2 ? __low2half(a) : __high2half(a);
+#endif
+}
+
+template<> __device__ EIGEN_STRONG_INLINE Eigen::half predux_min<half2>(const half2& a) {
+#if __CUDA_ARCH__ >= 530
+  __half first = __low2half(a);
+  __half second = __high2half(a);
+  return __hlt(first, second) ? first : second;
+#else
+  float a1 = __low2float(a);
+  float a2 = __high2float(a);
+  return a1 < a2 ? __low2half(a) : __high2half(a);
+#endif
+}
+
+template<> __device__ EIGEN_STRONG_INLINE Eigen::half predux_mul<half2>(const half2& a) {
+#if __CUDA_ARCH__ >= 530
+  return __hmul(__low2half(a), __high2half(a));
+#else
+  float a1 = __low2float(a);
+  float a2 = __high2float(a);
+  return Eigen::half(__float2half_rn(a1 * a2));
+#endif
+}
+
+template<> __device__ EIGEN_STRONG_INLINE half2 plog1p<half2>(const half2& a) {
+  float a1 = __low2float(a);
+  float a2 = __high2float(a);
+  float r1 = log1pf(a1);
+  float r2 = log1pf(a2);
+  return __floats2half2_rn(r1, r2);
+}
+
+#if EIGEN_CUDACC_VER >= 80000 && defined EIGEN_CUDA_ARCH && EIGEN_CUDA_ARCH >= 530
+
+template<>  __device__ EIGEN_STRONG_INLINE
+half2 plog<half2>(const half2& a) {
+  return h2log(a);
+}
+
+template<> __device__ EIGEN_STRONG_INLINE
+half2 pexp<half2>(const half2& a) {
+  return h2exp(a);
+}
+
+template<> __device__ EIGEN_STRONG_INLINE
+half2 psqrt<half2>(const half2& a) {
+  return h2sqrt(a);
+}
+
+template<> __device__ EIGEN_STRONG_INLINE
+half2 prsqrt<half2>(const half2& a) {
+  return h2rsqrt(a);
+}
+
+#else
+
+template<> __device__ EIGEN_STRONG_INLINE half2 plog<half2>(const half2& a) {
+  float a1 = __low2float(a);
+  float a2 = __high2float(a);
+  float r1 = logf(a1);
+  float r2 = logf(a2);
+  return __floats2half2_rn(r1, r2);
+}
+
+template<> __device__ EIGEN_STRONG_INLINE half2 pexp<half2>(const half2& a) {
+  float a1 = __low2float(a);
+  float a2 = __high2float(a);
+  float r1 = expf(a1);
+  float r2 = expf(a2);
+  return __floats2half2_rn(r1, r2);
+}
+
+template<> __device__ EIGEN_STRONG_INLINE half2 psqrt<half2>(const half2& a) {
+  float a1 = __low2float(a);
+  float a2 = __high2float(a);
+  float r1 = sqrtf(a1);
+  float r2 = sqrtf(a2);
+  return __floats2half2_rn(r1, r2);
+}
+
+template<> __device__ EIGEN_STRONG_INLINE half2 prsqrt<half2>(const half2& a) {
+  float a1 = __low2float(a);
+  float a2 = __high2float(a);
+  float r1 = rsqrtf(a1);
+  float r2 = rsqrtf(a2);
+  return __floats2half2_rn(r1, r2);
+}
+
+#endif
+
+#elif defined EIGEN_VECTORIZE_AVX512
+
+typedef struct {
+  __m256i x;
+} Packet16h;
+
+
+template<> struct is_arithmetic<Packet16h> { enum { value = true }; };
+
+template <>
+struct packet_traits<half> : default_packet_traits {
+  typedef Packet16h type;
+  // There is no half-size packet for Packet16h.
+  typedef Packet16h half;
+  enum {
+    Vectorizable = 1,
+    AlignedOnScalar = 1,
+    size = 16,
+    HasHalfPacket = 0,
+    HasAdd    = 0,
+    HasSub    = 0,
+    HasMul    = 0,
+    HasNegate = 0,
+    HasAbs    = 0,
+    HasAbs2   = 0,
+    HasMin    = 0,
+    HasMax    = 0,
+    HasConj   = 0,
+    HasSetLinear = 0,
+    HasDiv = 0,
+    HasSqrt = 0,
+    HasRsqrt = 0,
+    HasExp = 0,
+    HasLog = 0,
+    HasBlend = 0
+  };
+};
+
+
+template<> struct unpacket_traits<Packet16h> { typedef Eigen::half type; enum {size=16, alignment=Aligned32}; typedef Packet16h half; };
+
+template<> EIGEN_STRONG_INLINE Packet16h pset1<Packet16h>(const Eigen::half& from) {
+  Packet16h result;
+  result.x = _mm256_set1_epi16(from.x);
+  return result;
+}
+
+template<> EIGEN_STRONG_INLINE Eigen::half pfirst<Packet16h>(const Packet16h& from) {
+  return half_impl::raw_uint16_to_half(static_cast<unsigned short>(_mm256_extract_epi16(from.x, 0)));
+}
+
+template<> EIGEN_STRONG_INLINE Packet16h pload<Packet16h>(const Eigen::half* from) {
+  Packet16h result;
+  result.x = _mm256_load_si256(reinterpret_cast<const __m256i*>(from));
+  return result;
+}
+
+template<> EIGEN_STRONG_INLINE Packet16h ploadu<Packet16h>(const Eigen::half* from) {
+  Packet16h result;
+  result.x = _mm256_loadu_si256(reinterpret_cast<const __m256i*>(from));
+  return result;
+}
+
+template<> EIGEN_STRONG_INLINE void pstore<half>(Eigen::half* to, const Packet16h& from) {
+  _mm256_store_si256((__m256i*)to, from.x);
+}
+
+template<> EIGEN_STRONG_INLINE void pstoreu<half>(Eigen::half* to, const Packet16h& from) {
+  _mm256_storeu_si256((__m256i*)to, from.x);
+}
+
+template<> EIGEN_STRONG_INLINE Packet16h
+ploadquad(const Eigen::half* from) {
+  Packet16h result;
+  unsigned short a = from[0].x;
+  unsigned short b = from[1].x;
+  unsigned short c = from[2].x;
+  unsigned short d = from[3].x;
+  result.x = _mm256_set_epi16(d, d, d, d, c, c, c, c, b, b, b, b, a, a, a, a);
+  return result;
+}
+
+EIGEN_STRONG_INLINE Packet16f half2float(const Packet16h& a) {
+#ifdef EIGEN_HAS_FP16_C
+  return _mm512_cvtph_ps(a.x);
+#else
+  EIGEN_ALIGN64 half aux[16];
+  pstore(aux, a);
+  float f0(aux[0]);
+  float f1(aux[1]);
+  float f2(aux[2]);
+  float f3(aux[3]);
+  float f4(aux[4]);
+  float f5(aux[5]);
+  float f6(aux[6]);
+  float f7(aux[7]);
+  float f8(aux[8]);
+  float f9(aux[9]);
+  float fa(aux[10]);
+  float fb(aux[11]);
+  float fc(aux[12]);
+  float fd(aux[13]);
+  float fe(aux[14]);
+  float ff(aux[15]);
+
+  return _mm512_set_ps(
+      ff, fe, fd, fc, fb, fa, f9, f8, f7, f6, f5, f4, f3, f2, f1, f0);
+#endif
+}
+
+EIGEN_STRONG_INLINE Packet16h float2half(const Packet16f& a) {
+#ifdef EIGEN_HAS_FP16_C
+  Packet16h result;
+  result.x = _mm512_cvtps_ph(a, _MM_FROUND_TO_NEAREST_INT|_MM_FROUND_NO_EXC);
+  return result;
+#else
+  EIGEN_ALIGN64 float aux[16];
+  pstore(aux, a);
+  half h0(aux[0]);
+  half h1(aux[1]);
+  half h2(aux[2]);
+  half h3(aux[3]);
+  half h4(aux[4]);
+  half h5(aux[5]);
+  half h6(aux[6]);
+  half h7(aux[7]);
+  half h8(aux[8]);
+  half h9(aux[9]);
+  half ha(aux[10]);
+  half hb(aux[11]);
+  half hc(aux[12]);
+  half hd(aux[13]);
+  half he(aux[14]);
+  half hf(aux[15]);
+
+  Packet16h result;
+  result.x = _mm256_set_epi16(
+      hf.x, he.x, hd.x, hc.x, hb.x, ha.x, h9.x, h8.x,
+      h7.x, h6.x, h5.x, h4.x, h3.x, h2.x, h1.x, h0.x);
+  return result;
+#endif
+}
+
+template<> EIGEN_STRONG_INLINE Packet16h padd<Packet16h>(const Packet16h& a, const Packet16h& b) {
+  Packet16f af = half2float(a);
+  Packet16f bf = half2float(b);
+  Packet16f rf = padd(af, bf);
+  return float2half(rf);
+}
+
+template<> EIGEN_STRONG_INLINE Packet16h pmul<Packet16h>(const Packet16h& a, const Packet16h& b) {
+  Packet16f af = half2float(a);
+  Packet16f bf = half2float(b);
+  Packet16f rf = pmul(af, bf);
+  return float2half(rf);
+}
+
+template<> EIGEN_STRONG_INLINE half predux<Packet16h>(const Packet16h& from) {
+  Packet16f from_float = half2float(from);
+  return half(predux(from_float));
+}
+
+template<> EIGEN_STRONG_INLINE Packet16h pgather<Eigen::half, Packet16h>(const Eigen::half* from, Index stride)
+{
+  Packet16h result;
+  result.x = _mm256_set_epi16(
+      from[15*stride].x, from[14*stride].x, from[13*stride].x, from[12*stride].x,
+      from[11*stride].x, from[10*stride].x, from[9*stride].x, from[8*stride].x,
+      from[7*stride].x, from[6*stride].x, from[5*stride].x, from[4*stride].x,
+      from[3*stride].x, from[2*stride].x, from[1*stride].x, from[0*stride].x);
+  return result;
+}
+
+template<> EIGEN_STRONG_INLINE void pscatter<half, Packet16h>(half* to, const Packet16h& from, Index stride)
+{
+  EIGEN_ALIGN64 half aux[16];
+  pstore(aux, from);
+  to[stride*0].x = aux[0].x;
+  to[stride*1].x = aux[1].x;
+  to[stride*2].x = aux[2].x;
+  to[stride*3].x = aux[3].x;
+  to[stride*4].x = aux[4].x;
+  to[stride*5].x = aux[5].x;
+  to[stride*6].x = aux[6].x;
+  to[stride*7].x = aux[7].x;
+  to[stride*8].x = aux[8].x;
+  to[stride*9].x = aux[9].x;
+  to[stride*10].x = aux[10].x;
+  to[stride*11].x = aux[11].x;
+  to[stride*12].x = aux[12].x;
+  to[stride*13].x = aux[13].x;
+  to[stride*14].x = aux[14].x;
+  to[stride*15].x = aux[15].x;
+}
+
+EIGEN_STRONG_INLINE void
+ptranspose(PacketBlock<Packet16h,16>& kernel) {
+  __m256i a = kernel.packet[0].x;
+  __m256i b = kernel.packet[1].x;
+  __m256i c = kernel.packet[2].x;
+  __m256i d = kernel.packet[3].x;
+  __m256i e = kernel.packet[4].x;
+  __m256i f = kernel.packet[5].x;
+  __m256i g = kernel.packet[6].x;
+  __m256i h = kernel.packet[7].x;
+  __m256i i = kernel.packet[8].x;
+  __m256i j = kernel.packet[9].x;
+  __m256i k = kernel.packet[10].x;
+  __m256i l = kernel.packet[11].x;
+  __m256i m = kernel.packet[12].x;
+  __m256i n = kernel.packet[13].x;
+  __m256i o = kernel.packet[14].x;
+  __m256i p = kernel.packet[15].x;
+
+  __m256i ab_07 = _mm256_unpacklo_epi16(a, b);
+  __m256i cd_07 = _mm256_unpacklo_epi16(c, d);
+  __m256i ef_07 = _mm256_unpacklo_epi16(e, f);
+  __m256i gh_07 = _mm256_unpacklo_epi16(g, h);
+  __m256i ij_07 = _mm256_unpacklo_epi16(i, j);
+  __m256i kl_07 = _mm256_unpacklo_epi16(k, l);
+  __m256i mn_07 = _mm256_unpacklo_epi16(m, n);
+  __m256i op_07 = _mm256_unpacklo_epi16(o, p);
+
+  __m256i ab_8f = _mm256_unpackhi_epi16(a, b);
+  __m256i cd_8f = _mm256_unpackhi_epi16(c, d);
+  __m256i ef_8f = _mm256_unpackhi_epi16(e, f);
+  __m256i gh_8f = _mm256_unpackhi_epi16(g, h);
+  __m256i ij_8f = _mm256_unpackhi_epi16(i, j);
+  __m256i kl_8f = _mm256_unpackhi_epi16(k, l);
+  __m256i mn_8f = _mm256_unpackhi_epi16(m, n);
+  __m256i op_8f = _mm256_unpackhi_epi16(o, p);
+
+  __m256i abcd_03 = _mm256_unpacklo_epi32(ab_07, cd_07);
+  __m256i abcd_47 = _mm256_unpackhi_epi32(ab_07, cd_07);
+  __m256i efgh_03 = _mm256_unpacklo_epi32(ef_07, gh_07);
+  __m256i efgh_47 = _mm256_unpackhi_epi32(ef_07, gh_07);
+  __m256i ijkl_03 = _mm256_unpacklo_epi32(ij_07, kl_07);
+  __m256i ijkl_47 = _mm256_unpackhi_epi32(ij_07, kl_07);
+  __m256i mnop_03 = _mm256_unpacklo_epi32(mn_07, op_07);
+  __m256i mnop_47 = _mm256_unpackhi_epi32(mn_07, op_07);
+
+  __m256i abcd_8b = _mm256_unpacklo_epi32(ab_8f, cd_8f);
+  __m256i abcd_cf = _mm256_unpackhi_epi32(ab_8f, cd_8f);
+  __m256i efgh_8b = _mm256_unpacklo_epi32(ef_8f, gh_8f);
+  __m256i efgh_cf = _mm256_unpackhi_epi32(ef_8f, gh_8f);
+  __m256i ijkl_8b = _mm256_unpacklo_epi32(ij_8f, kl_8f);
+  __m256i ijkl_cf = _mm256_unpackhi_epi32(ij_8f, kl_8f);
+  __m256i mnop_8b = _mm256_unpacklo_epi32(mn_8f, op_8f);
+  __m256i mnop_cf = _mm256_unpackhi_epi32(mn_8f, op_8f);
+
+  __m256i abcdefgh_01 = _mm256_unpacklo_epi64(abcd_03, efgh_03);
+  __m256i abcdefgh_23 = _mm256_unpackhi_epi64(abcd_03, efgh_03);
+  __m256i ijklmnop_01 = _mm256_unpacklo_epi64(ijkl_03, mnop_03);
+  __m256i ijklmnop_23 = _mm256_unpackhi_epi64(ijkl_03, mnop_03);
+  __m256i abcdefgh_45 = _mm256_unpacklo_epi64(abcd_47, efgh_47);
+  __m256i abcdefgh_67 = _mm256_unpackhi_epi64(abcd_47, efgh_47);
+  __m256i ijklmnop_45 = _mm256_unpacklo_epi64(ijkl_47, mnop_47);
+  __m256i ijklmnop_67 = _mm256_unpackhi_epi64(ijkl_47, mnop_47);
+  __m256i abcdefgh_89 = _mm256_unpacklo_epi64(abcd_8b, efgh_8b);
+  __m256i abcdefgh_ab = _mm256_unpackhi_epi64(abcd_8b, efgh_8b);
+  __m256i ijklmnop_89 = _mm256_unpacklo_epi64(ijkl_8b, mnop_8b);
+  __m256i ijklmnop_ab = _mm256_unpackhi_epi64(ijkl_8b, mnop_8b);
+  __m256i abcdefgh_cd = _mm256_unpacklo_epi64(abcd_cf, efgh_cf);
+  __m256i abcdefgh_ef = _mm256_unpackhi_epi64(abcd_cf, efgh_cf);
+  __m256i ijklmnop_cd = _mm256_unpacklo_epi64(ijkl_cf, mnop_cf);
+  __m256i ijklmnop_ef = _mm256_unpackhi_epi64(ijkl_cf, mnop_cf);
+
+  // NOTE: no unpacklo/hi instr in this case, so using permute instr.
+  __m256i a_p_0 = _mm256_permute2x128_si256(abcdefgh_01, ijklmnop_01, 0x20);
+  __m256i a_p_1 = _mm256_permute2x128_si256(abcdefgh_01, ijklmnop_01, 0x31);
+  __m256i a_p_2 = _mm256_permute2x128_si256(abcdefgh_23, ijklmnop_23, 0x20);
+  __m256i a_p_3 = _mm256_permute2x128_si256(abcdefgh_23, ijklmnop_23, 0x31);
+  __m256i a_p_4 = _mm256_permute2x128_si256(abcdefgh_45, ijklmnop_45, 0x20);
+  __m256i a_p_5 = _mm256_permute2x128_si256(abcdefgh_45, ijklmnop_45, 0x31);
+  __m256i a_p_6 = _mm256_permute2x128_si256(abcdefgh_67, ijklmnop_67, 0x20);
+  __m256i a_p_7 = _mm256_permute2x128_si256(abcdefgh_67, ijklmnop_67, 0x31);
+  __m256i a_p_8 = _mm256_permute2x128_si256(abcdefgh_89, ijklmnop_89, 0x20);
+  __m256i a_p_9 = _mm256_permute2x128_si256(abcdefgh_89, ijklmnop_89, 0x31);
+  __m256i a_p_a = _mm256_permute2x128_si256(abcdefgh_ab, ijklmnop_ab, 0x20);
+  __m256i a_p_b = _mm256_permute2x128_si256(abcdefgh_ab, ijklmnop_ab, 0x31);
+  __m256i a_p_c = _mm256_permute2x128_si256(abcdefgh_cd, ijklmnop_cd, 0x20);
+  __m256i a_p_d = _mm256_permute2x128_si256(abcdefgh_cd, ijklmnop_cd, 0x31);
+  __m256i a_p_e = _mm256_permute2x128_si256(abcdefgh_ef, ijklmnop_ef, 0x20);
+  __m256i a_p_f = _mm256_permute2x128_si256(abcdefgh_ef, ijklmnop_ef, 0x31);
+
+  kernel.packet[0].x = a_p_0;
+  kernel.packet[1].x = a_p_1;
+  kernel.packet[2].x = a_p_2;
+  kernel.packet[3].x = a_p_3;
+  kernel.packet[4].x = a_p_4;
+  kernel.packet[5].x = a_p_5;
+  kernel.packet[6].x = a_p_6;
+  kernel.packet[7].x = a_p_7;
+  kernel.packet[8].x = a_p_8;
+  kernel.packet[9].x = a_p_9;
+  kernel.packet[10].x = a_p_a;
+  kernel.packet[11].x = a_p_b;
+  kernel.packet[12].x = a_p_c;
+  kernel.packet[13].x = a_p_d;
+  kernel.packet[14].x = a_p_e;
+  kernel.packet[15].x = a_p_f;
+}
+
+EIGEN_STRONG_INLINE void
+ptranspose(PacketBlock<Packet16h,8>& kernel) {
+  EIGEN_ALIGN64 half in[8][16];
+  pstore<half>(in[0], kernel.packet[0]);
+  pstore<half>(in[1], kernel.packet[1]);
+  pstore<half>(in[2], kernel.packet[2]);
+  pstore<half>(in[3], kernel.packet[3]);
+  pstore<half>(in[4], kernel.packet[4]);
+  pstore<half>(in[5], kernel.packet[5]);
+  pstore<half>(in[6], kernel.packet[6]);
+  pstore<half>(in[7], kernel.packet[7]);
+
+  EIGEN_ALIGN64 half out[8][16];
+
+  for (int i = 0; i < 8; ++i) {
+    for (int j = 0; j < 8; ++j) {
+      out[i][j] = in[j][2*i];
+    }
+    for (int j = 0; j < 8; ++j) {
+      out[i][j+8] = in[j][2*i+1];
+    }
+  }
+
+  kernel.packet[0] = pload<Packet16h>(out[0]);
+  kernel.packet[1] = pload<Packet16h>(out[1]);
+  kernel.packet[2] = pload<Packet16h>(out[2]);
+  kernel.packet[3] = pload<Packet16h>(out[3]);
+  kernel.packet[4] = pload<Packet16h>(out[4]);
+  kernel.packet[5] = pload<Packet16h>(out[5]);
+  kernel.packet[6] = pload<Packet16h>(out[6]);
+  kernel.packet[7] = pload<Packet16h>(out[7]);
+}
+
+EIGEN_STRONG_INLINE void
+ptranspose(PacketBlock<Packet16h,4>& kernel) {
+  EIGEN_ALIGN64 half in[4][16];
+  pstore<half>(in[0], kernel.packet[0]);
+  pstore<half>(in[1], kernel.packet[1]);
+  pstore<half>(in[2], kernel.packet[2]);
+  pstore<half>(in[3], kernel.packet[3]);
+
+  EIGEN_ALIGN64 half out[4][16];
+
+  for (int i = 0; i < 4; ++i) {
+    for (int j = 0; j < 4; ++j) {
+      out[i][j] = in[j][4*i];
+    }
+    for (int j = 0; j < 4; ++j) {
+      out[i][j+4] = in[j][4*i+1];
+    }
+    for (int j = 0; j < 4; ++j) {
+      out[i][j+8] = in[j][4*i+2];
+    }
+    for (int j = 0; j < 4; ++j) {
+      out[i][j+12] = in[j][4*i+3];
+    }
+  }
+
+  kernel.packet[0] = pload<Packet16h>(out[0]);
+  kernel.packet[1] = pload<Packet16h>(out[1]);
+  kernel.packet[2] = pload<Packet16h>(out[2]);
+  kernel.packet[3] = pload<Packet16h>(out[3]);
+}
+
+
+#elif defined EIGEN_VECTORIZE_AVX
+
+typedef struct {
+  __m128i x;
+} Packet8h;
+
+
+template<> struct is_arithmetic<Packet8h> { enum { value = true }; };
+
+template <>
+struct packet_traits<Eigen::half> : default_packet_traits {
+  typedef Packet8h type;
+  // There is no half-size packet for Packet8h.
+  typedef Packet8h half;
+  enum {
+    Vectorizable = 1,
+    AlignedOnScalar = 1,
+    size = 8,
+    HasHalfPacket = 0,
+    HasAdd    = 0,
+    HasSub    = 0,
+    HasMul    = 0,
+    HasNegate = 0,
+    HasAbs    = 0,
+    HasAbs2   = 0,
+    HasMin    = 0,
+    HasMax    = 0,
+    HasConj   = 0,
+    HasSetLinear = 0,
+    HasDiv = 0,
+    HasSqrt = 0,
+    HasRsqrt = 0,
+    HasExp = 0,
+    HasLog = 0,
+    HasBlend = 0
+  };
+};
+
+
+template<> struct unpacket_traits<Packet8h> { typedef Eigen::half type; enum {size=8, alignment=Aligned16}; typedef Packet8h half; };
+
+template<> EIGEN_STRONG_INLINE Packet8h pset1<Packet8h>(const Eigen::half& from) {
+  Packet8h result;
+  result.x = _mm_set1_epi16(from.x);
+  return result;
+}
+
+template<> EIGEN_STRONG_INLINE Eigen::half pfirst<Packet8h>(const Packet8h& from) {
+  return half_impl::raw_uint16_to_half(static_cast<unsigned short>(_mm_extract_epi16(from.x, 0)));
+}
+
+template<> EIGEN_STRONG_INLINE Packet8h pload<Packet8h>(const Eigen::half* from) {
+  Packet8h result;
+  result.x = _mm_load_si128(reinterpret_cast<const __m128i*>(from));
+  return result;
+}
+
+template<> EIGEN_STRONG_INLINE Packet8h ploadu<Packet8h>(const Eigen::half* from) {
+  Packet8h result;
+  result.x = _mm_loadu_si128(reinterpret_cast<const __m128i*>(from));
+  return result;
+}
+
+template<> EIGEN_STRONG_INLINE void pstore<Eigen::half>(Eigen::half* to, const Packet8h& from) {
+  _mm_store_si128(reinterpret_cast<__m128i*>(to), from.x);
+}
+
+template<> EIGEN_STRONG_INLINE void pstoreu<Eigen::half>(Eigen::half* to, const Packet8h& from) {
+  _mm_storeu_si128(reinterpret_cast<__m128i*>(to), from.x);
+}
+
+template<> EIGEN_STRONG_INLINE Packet8h
+ploadquad<Packet8h>(const Eigen::half* from) {
+  Packet8h result;
+  unsigned short a = from[0].x;
+  unsigned short b = from[1].x;
+  result.x = _mm_set_epi16(b, b, b, b, a, a, a, a);
+  return result;
+}
+
+EIGEN_STRONG_INLINE Packet8f half2float(const Packet8h& a) {
+#ifdef EIGEN_HAS_FP16_C
+  return _mm256_cvtph_ps(a.x);
+#else
+  EIGEN_ALIGN32 Eigen::half aux[8];
+  pstore(aux, a);
+  float f0(aux[0]);
+  float f1(aux[1]);
+  float f2(aux[2]);
+  float f3(aux[3]);
+  float f4(aux[4]);
+  float f5(aux[5]);
+  float f6(aux[6]);
+  float f7(aux[7]);
+
+  return _mm256_set_ps(f7, f6, f5, f4, f3, f2, f1, f0);
+#endif
+}
+
+EIGEN_STRONG_INLINE Packet8h float2half(const Packet8f& a) {
+#ifdef EIGEN_HAS_FP16_C
+  Packet8h result;
+  result.x = _mm256_cvtps_ph(a, _MM_FROUND_TO_NEAREST_INT|_MM_FROUND_NO_EXC);
+  return result;
+#else
+  EIGEN_ALIGN32 float aux[8];
+  pstore(aux, a);
+  Eigen::half h0(aux[0]);
+  Eigen::half h1(aux[1]);
+  Eigen::half h2(aux[2]);
+  Eigen::half h3(aux[3]);
+  Eigen::half h4(aux[4]);
+  Eigen::half h5(aux[5]);
+  Eigen::half h6(aux[6]);
+  Eigen::half h7(aux[7]);
+
+  Packet8h result;
+  result.x = _mm_set_epi16(h7.x, h6.x, h5.x, h4.x, h3.x, h2.x, h1.x, h0.x);
+  return result;
+#endif
+}
+
+template<> EIGEN_STRONG_INLINE Packet8h pconj(const Packet8h& a) { return a; }
+
+template<> EIGEN_STRONG_INLINE Packet8h padd<Packet8h>(const Packet8h& a, const Packet8h& b) {
+  Packet8f af = half2float(a);
+  Packet8f bf = half2float(b);
+  Packet8f rf = padd(af, bf);
+  return float2half(rf);
+}
+
+template<> EIGEN_STRONG_INLINE Packet8h pmul<Packet8h>(const Packet8h& a, const Packet8h& b) {
+  Packet8f af = half2float(a);
+  Packet8f bf = half2float(b);
+  Packet8f rf = pmul(af, bf);
+  return float2half(rf);
+}
+
+template<> EIGEN_STRONG_INLINE Packet8h pgather<Eigen::half, Packet8h>(const Eigen::half* from, Index stride)
+{
+  Packet8h result;
+  result.x = _mm_set_epi16(from[7*stride].x, from[6*stride].x, from[5*stride].x, from[4*stride].x, from[3*stride].x, from[2*stride].x, from[1*stride].x, from[0*stride].x);
+  return result;
+}
+
+template<> EIGEN_STRONG_INLINE void pscatter<Eigen::half, Packet8h>(Eigen::half* to, const Packet8h& from, Index stride)
+{
+  EIGEN_ALIGN32 Eigen::half aux[8];
+  pstore(aux, from);
+  to[stride*0].x = aux[0].x;
+  to[stride*1].x = aux[1].x;
+  to[stride*2].x = aux[2].x;
+  to[stride*3].x = aux[3].x;
+  to[stride*4].x = aux[4].x;
+  to[stride*5].x = aux[5].x;
+  to[stride*6].x = aux[6].x;
+  to[stride*7].x = aux[7].x;
+}
+
+template<> EIGEN_STRONG_INLINE Eigen::half predux<Packet8h>(const Packet8h& a) {
+  Packet8f af = half2float(a);
+  float reduced = predux<Packet8f>(af);
+  return Eigen::half(reduced);
+}
+
+template<> EIGEN_STRONG_INLINE Eigen::half predux_max<Packet8h>(const Packet8h& a) {
+  Packet8f af = half2float(a);
+  float reduced = predux_max<Packet8f>(af);
+  return Eigen::half(reduced);
+}
+
+template<> EIGEN_STRONG_INLINE Eigen::half predux_min<Packet8h>(const Packet8h& a) {
+  Packet8f af = half2float(a);
+  float reduced = predux_min<Packet8f>(af);
+  return Eigen::half(reduced);
+}
+
+template<> EIGEN_STRONG_INLINE Eigen::half predux_mul<Packet8h>(const Packet8h& a) {
+  Packet8f af = half2float(a);
+  float reduced = predux_mul<Packet8f>(af);
+  return Eigen::half(reduced);
+}
+
+EIGEN_STRONG_INLINE void
+ptranspose(PacketBlock<Packet8h,8>& kernel) {
+  __m128i a = kernel.packet[0].x;
+  __m128i b = kernel.packet[1].x;
+  __m128i c = kernel.packet[2].x;
+  __m128i d = kernel.packet[3].x;
+  __m128i e = kernel.packet[4].x;
+  __m128i f = kernel.packet[5].x;
+  __m128i g = kernel.packet[6].x;
+  __m128i h = kernel.packet[7].x;
+
+  __m128i a03b03 = _mm_unpacklo_epi16(a, b);
+  __m128i c03d03 = _mm_unpacklo_epi16(c, d);
+  __m128i e03f03 = _mm_unpacklo_epi16(e, f);
+  __m128i g03h03 = _mm_unpacklo_epi16(g, h);
+  __m128i a47b47 = _mm_unpackhi_epi16(a, b);
+  __m128i c47d47 = _mm_unpackhi_epi16(c, d);
+  __m128i e47f47 = _mm_unpackhi_epi16(e, f);
+  __m128i g47h47 = _mm_unpackhi_epi16(g, h);
+
+  __m128i a01b01c01d01 = _mm_unpacklo_epi32(a03b03, c03d03);
+  __m128i a23b23c23d23 = _mm_unpackhi_epi32(a03b03, c03d03);
+  __m128i e01f01g01h01 = _mm_unpacklo_epi32(e03f03, g03h03);
+  __m128i e23f23g23h23 = _mm_unpackhi_epi32(e03f03, g03h03);
+  __m128i a45b45c45d45 = _mm_unpacklo_epi32(a47b47, c47d47);
+  __m128i a67b67c67d67 = _mm_unpackhi_epi32(a47b47, c47d47);
+  __m128i e45f45g45h45 = _mm_unpacklo_epi32(e47f47, g47h47);
+  __m128i e67f67g67h67 = _mm_unpackhi_epi32(e47f47, g47h47);
+
+  __m128i a0b0c0d0e0f0g0h0 = _mm_unpacklo_epi64(a01b01c01d01, e01f01g01h01);
+  __m128i a1b1c1d1e1f1g1h1 = _mm_unpackhi_epi64(a01b01c01d01, e01f01g01h01);
+  __m128i a2b2c2d2e2f2g2h2 = _mm_unpacklo_epi64(a23b23c23d23, e23f23g23h23);
+  __m128i a3b3c3d3e3f3g3h3 = _mm_unpackhi_epi64(a23b23c23d23, e23f23g23h23);
+  __m128i a4b4c4d4e4f4g4h4 = _mm_unpacklo_epi64(a45b45c45d45, e45f45g45h45);
+  __m128i a5b5c5d5e5f5g5h5 = _mm_unpackhi_epi64(a45b45c45d45, e45f45g45h45);
+  __m128i a6b6c6d6e6f6g6h6 = _mm_unpacklo_epi64(a67b67c67d67, e67f67g67h67);
+  __m128i a7b7c7d7e7f7g7h7 = _mm_unpackhi_epi64(a67b67c67d67, e67f67g67h67);
+
+  kernel.packet[0].x = a0b0c0d0e0f0g0h0;
+  kernel.packet[1].x = a1b1c1d1e1f1g1h1;
+  kernel.packet[2].x = a2b2c2d2e2f2g2h2;
+  kernel.packet[3].x = a3b3c3d3e3f3g3h3;
+  kernel.packet[4].x = a4b4c4d4e4f4g4h4;
+  kernel.packet[5].x = a5b5c5d5e5f5g5h5;
+  kernel.packet[6].x = a6b6c6d6e6f6g6h6;
+  kernel.packet[7].x = a7b7c7d7e7f7g7h7;
+}
+
+EIGEN_STRONG_INLINE void
+ptranspose(PacketBlock<Packet8h,4>& kernel) {
+  EIGEN_ALIGN32 Eigen::half in[4][8];
+  pstore<Eigen::half>(in[0], kernel.packet[0]);
+  pstore<Eigen::half>(in[1], kernel.packet[1]);
+  pstore<Eigen::half>(in[2], kernel.packet[2]);
+  pstore<Eigen::half>(in[3], kernel.packet[3]);
+
+  EIGEN_ALIGN32 Eigen::half out[4][8];
+
+  for (int i = 0; i < 4; ++i) {
+    for (int j = 0; j < 4; ++j) {
+      out[i][j] = in[j][2*i];
+    }
+    for (int j = 0; j < 4; ++j) {
+      out[i][j+4] = in[j][2*i+1];
+    }
+  }
+
+  kernel.packet[0] = pload<Packet8h>(out[0]);
+  kernel.packet[1] = pload<Packet8h>(out[1]);
+  kernel.packet[2] = pload<Packet8h>(out[2]);
+  kernel.packet[3] = pload<Packet8h>(out[3]);
+}
+
+
+// Disable the following code since it's broken on too many platforms / compilers.
+//#elif defined(EIGEN_VECTORIZE_SSE) && (!EIGEN_ARCH_x86_64) && (!EIGEN_COMP_MSVC)
+#elif 0
+
+typedef struct {
+  __m64 x;
+} Packet4h;
+
+
+template<> struct is_arithmetic<Packet4h> { enum { value = true }; };
+
+template <>
+struct packet_traits<Eigen::half> : default_packet_traits {
+  typedef Packet4h type;
+  // There is no half-size packet for Packet4h.
+  typedef Packet4h half;
+  enum {
+    Vectorizable = 1,
+    AlignedOnScalar = 1,
+    size = 4,
+    HasHalfPacket = 0,
+    HasAdd    = 0,
+    HasSub    = 0,
+    HasMul    = 0,
+    HasNegate = 0,
+    HasAbs    = 0,
+    HasAbs2   = 0,
+    HasMin    = 0,
+    HasMax    = 0,
+    HasConj   = 0,
+    HasSetLinear = 0,
+    HasDiv = 0,
+    HasSqrt = 0,
+    HasRsqrt = 0,
+    HasExp = 0,
+    HasLog = 0,
+    HasBlend = 0
+  };
+};
+
+
+template<> struct unpacket_traits<Packet4h> { typedef Eigen::half type; enum {size=4, alignment=Aligned16}; typedef Packet4h half; };
+
+template<> EIGEN_STRONG_INLINE Packet4h pset1<Packet4h>(const Eigen::half& from) {
+  Packet4h result;
+  result.x = _mm_set1_pi16(from.x);
+  return result;
+}
+
+template<> EIGEN_STRONG_INLINE Eigen::half pfirst<Packet4h>(const Packet4h& from) {
+  return half_impl::raw_uint16_to_half(static_cast<unsigned short>(_mm_cvtsi64_si32(from.x)));
+}
+
+template<> EIGEN_STRONG_INLINE Packet4h pconj(const Packet4h& a) { return a; }
+
+template<> EIGEN_STRONG_INLINE Packet4h padd<Packet4h>(const Packet4h& a, const Packet4h& b) {
+  __int64_t a64 = _mm_cvtm64_si64(a.x);
+  __int64_t b64 = _mm_cvtm64_si64(b.x);
+
+  Eigen::half h[4];
+
+  Eigen::half ha = half_impl::raw_uint16_to_half(static_cast<unsigned short>(a64));
+  Eigen::half hb = half_impl::raw_uint16_to_half(static_cast<unsigned short>(b64));
+  h[0] = ha + hb;
+  ha = half_impl::raw_uint16_to_half(static_cast<unsigned short>(a64 >> 16));
+  hb = half_impl::raw_uint16_to_half(static_cast<unsigned short>(b64 >> 16));
+  h[1] = ha + hb;
+  ha = half_impl::raw_uint16_to_half(static_cast<unsigned short>(a64 >> 32));
+  hb = half_impl::raw_uint16_to_half(static_cast<unsigned short>(b64 >> 32));
+  h[2] = ha + hb;
+  ha = half_impl::raw_uint16_to_half(static_cast<unsigned short>(a64 >> 48));
+  hb = half_impl::raw_uint16_to_half(static_cast<unsigned short>(b64 >> 48));
+  h[3] = ha + hb;
+  Packet4h result;
+  result.x = _mm_set_pi16(h[3].x, h[2].x, h[1].x, h[0].x);
+  return result;
+}
+
+template<> EIGEN_STRONG_INLINE Packet4h pmul<Packet4h>(const Packet4h& a, const Packet4h& b) {
+  __int64_t a64 = _mm_cvtm64_si64(a.x);
+  __int64_t b64 = _mm_cvtm64_si64(b.x);
+
+  Eigen::half h[4];
+
+  Eigen::half ha = half_impl::raw_uint16_to_half(static_cast<unsigned short>(a64));
+  Eigen::half hb = half_impl::raw_uint16_to_half(static_cast<unsigned short>(b64));
+  h[0] = ha * hb;
+  ha = half_impl::raw_uint16_to_half(static_cast<unsigned short>(a64 >> 16));
+  hb = half_impl::raw_uint16_to_half(static_cast<unsigned short>(b64 >> 16));
+  h[1] = ha * hb;
+  ha = half_impl::raw_uint16_to_half(static_cast<unsigned short>(a64 >> 32));
+  hb = half_impl::raw_uint16_to_half(static_cast<unsigned short>(b64 >> 32));
+  h[2] = ha * hb;
+  ha = half_impl::raw_uint16_to_half(static_cast<unsigned short>(a64 >> 48));
+  hb = half_impl::raw_uint16_to_half(static_cast<unsigned short>(b64 >> 48));
+  h[3] = ha * hb;
+  Packet4h result;
+  result.x = _mm_set_pi16(h[3].x, h[2].x, h[1].x, h[0].x);
+  return result;
+}
+
+template<> EIGEN_STRONG_INLINE Packet4h pload<Packet4h>(const Eigen::half* from) {
+  Packet4h result;
+  result.x = _mm_cvtsi64_m64(*reinterpret_cast<const __int64_t*>(from));
+  return result;
+}
+
+template<> EIGEN_STRONG_INLINE Packet4h ploadu<Packet4h>(const Eigen::half* from) {
+  Packet4h result;
+  result.x = _mm_cvtsi64_m64(*reinterpret_cast<const __int64_t*>(from));
+  return result;
+}
+
+template<> EIGEN_STRONG_INLINE void pstore<Eigen::half>(Eigen::half* to, const Packet4h& from) {
+  __int64_t r = _mm_cvtm64_si64(from.x);
+  *(reinterpret_cast<__int64_t*>(to)) = r;
+}
+
+template<> EIGEN_STRONG_INLINE void pstoreu<Eigen::half>(Eigen::half* to, const Packet4h& from) {
+  __int64_t r = _mm_cvtm64_si64(from.x);
+  *(reinterpret_cast<__int64_t*>(to)) = r;
+}
+
+template<> EIGEN_STRONG_INLINE Packet4h
+ploadquad<Packet4h>(const Eigen::half* from) {
+  return pset1<Packet4h>(*from);
+}
+
+template<> EIGEN_STRONG_INLINE Packet4h pgather<Eigen::half, Packet4h>(const Eigen::half* from, Index stride)
+{
+  Packet4h result;
+  result.x = _mm_set_pi16(from[3*stride].x, from[2*stride].x, from[1*stride].x, from[0*stride].x);
+  return result;
+}
+
+template<> EIGEN_STRONG_INLINE void pscatter<Eigen::half, Packet4h>(Eigen::half* to, const Packet4h& from, Index stride)
+{
+  __int64_t a = _mm_cvtm64_si64(from.x);
+  to[stride*0].x = static_cast<unsigned short>(a);
+  to[stride*1].x = static_cast<unsigned short>(a >> 16);
+  to[stride*2].x = static_cast<unsigned short>(a >> 32);
+  to[stride*3].x = static_cast<unsigned short>(a >> 48);
+}
+
+EIGEN_STRONG_INLINE void
+ptranspose(PacketBlock<Packet4h,4>& kernel) {
+  __m64 T0 = _mm_unpacklo_pi16(kernel.packet[0].x, kernel.packet[1].x);
+  __m64 T1 = _mm_unpacklo_pi16(kernel.packet[2].x, kernel.packet[3].x);
+  __m64 T2 = _mm_unpackhi_pi16(kernel.packet[0].x, kernel.packet[1].x);
+  __m64 T3 = _mm_unpackhi_pi16(kernel.packet[2].x, kernel.packet[3].x);
+
+  kernel.packet[0].x = _mm_unpacklo_pi32(T0, T1);
+  kernel.packet[1].x = _mm_unpackhi_pi32(T0, T1);
+  kernel.packet[2].x = _mm_unpacklo_pi32(T2, T3);
+  kernel.packet[3].x = _mm_unpackhi_pi32(T2, T3);
+}
+
+#endif
+
+}
+}
+
+#endif // EIGEN_PACKET_MATH_HALF_CUDA_H
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/arch/CUDA/PacketMath.h
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/arch/CUDA/PacketMath.h	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/arch/CUDA/PacketMath.h	(revision 3761)
@@ -0,0 +1,333 @@
+// This file is part of Eigen, a lightweight C++ template library
+// for linear algebra.
+//
+// Copyright (C) 2014 Benoit Steiner <benoit.steiner.goog@gmail.com>
+//
+// This Source Code Form is subject to the terms of the Mozilla
+// Public License v. 2.0. If a copy of the MPL was not distributed
+// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
+
+#ifndef EIGEN_PACKET_MATH_CUDA_H
+#define EIGEN_PACKET_MATH_CUDA_H
+
+namespace Eigen {
+
+namespace internal {
+
+// Make sure this is only available when targeting a GPU: we don't want to
+// introduce conflicts between these packet_traits definitions and the ones
+// we'll use on the host side (SSE, AVX, ...)
+#if defined(__CUDACC__) && defined(EIGEN_USE_GPU)
+template<> struct is_arithmetic<float4>  { enum { value = true }; };
+template<> struct is_arithmetic<double2> { enum { value = true }; };
+
+template<> struct packet_traits<float> : default_packet_traits
+{
+  typedef float4 type;
+  typedef float4 half;
+  enum {
+    Vectorizable = 1,
+    AlignedOnScalar = 1,
+    size=4,
+    HasHalfPacket = 0,
+
+    HasDiv  = 1,
+    HasSin  = 0,
+    HasCos  = 0,
+    HasLog  = 1,
+    HasExp  = 1,
+    HasSqrt = 1,
+    HasRsqrt = 1,
+    HasLGamma = 1,
+    HasDiGamma = 1,
+    HasZeta = 1,
+    HasPolygamma = 1,
+    HasErf = 1,
+    HasErfc = 1,
+    HasIGamma = 1,
+    HasIGammac = 1,
+    HasBetaInc = 1,
+
+    HasBlend = 0,
+  };
+};
+
+template<> struct packet_traits<double> : default_packet_traits
+{
+  typedef double2 type;
+  typedef double2 half;
+  enum {
+    Vectorizable = 1,
+    AlignedOnScalar = 1,
+    size=2,
+    HasHalfPacket = 0,
+
+    HasDiv  = 1,
+    HasLog  = 1,
+    HasExp  = 1,
+    HasSqrt = 1,
+    HasRsqrt = 1,
+    HasLGamma = 1,
+    HasDiGamma = 1,
+    HasZeta = 1,
+    HasPolygamma = 1,
+    HasErf = 1,
+    HasErfc = 1,
+    HasIGamma = 1,
+    HasIGammac = 1,
+    HasBetaInc = 1,
+
+    HasBlend = 0,
+  };
+};
+
+
+template<> struct unpacket_traits<float4>  { typedef float  type; enum {size=4, alignment=Aligned16}; typedef float4 half; };
+template<> struct unpacket_traits<double2> { typedef double type; enum {size=2, alignment=Aligned16}; typedef double2 half; };
+
+template<> EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE float4 pset1<float4>(const float&  from) {
+  return make_float4(from, from, from, from);
+}
+template<> EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE double2 pset1<double2>(const double& from) {
+  return make_double2(from, from);
+}
+
+
+template<> EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE float4 plset<float4>(const float& a) {
+  return make_float4(a, a+1, a+2, a+3);
+}
+template<> EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE double2 plset<double2>(const double& a) {
+  return make_double2(a, a+1);
+}
+
+template<> EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE float4 padd<float4>(const float4& a, const float4& b) {
+  return make_float4(a.x+b.x, a.y+b.y, a.z+b.z, a.w+b.w);
+}
+template<> EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE double2 padd<double2>(const double2& a, const double2& b) {
+  return make_double2(a.x+b.x, a.y+b.y);
+}
+
+template<> EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE float4 psub<float4>(const float4& a, const float4& b) {
+  return make_float4(a.x-b.x, a.y-b.y, a.z-b.z, a.w-b.w);
+}
+template<> EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE double2 psub<double2>(const double2& a, const double2& b) {
+  return make_double2(a.x-b.x, a.y-b.y);
+}
+
+template<> EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE float4 pnegate(const float4& a) {
+  return make_float4(-a.x, -a.y, -a.z, -a.w);
+}
+template<> EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE double2 pnegate(const double2& a) {
+  return make_double2(-a.x, -a.y);
+}
+
+template<> EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE float4 pconj(const float4& a) { return a; }
+template<> EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE double2 pconj(const double2& a) { return a; }
+
+template<> EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE float4 pmul<float4>(const float4& a, const float4& b) {
+  return make_float4(a.x*b.x, a.y*b.y, a.z*b.z, a.w*b.w);
+}
+template<> EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE double2 pmul<double2>(const double2& a, const double2& b) {
+  return make_double2(a.x*b.x, a.y*b.y);
+}
+
+template<> EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE float4 pdiv<float4>(const float4& a, const float4& b) {
+  return make_float4(a.x/b.x, a.y/b.y, a.z/b.z, a.w/b.w);
+}
+template<> EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE double2 pdiv<double2>(const double2& a, const double2& b) {
+  return make_double2(a.x/b.x, a.y/b.y);
+}
+
+template<> EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE float4 pmin<float4>(const float4& a, const float4& b) {
+  return make_float4(fminf(a.x, b.x), fminf(a.y, b.y), fminf(a.z, b.z), fminf(a.w, b.w));
+}
+template<> EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE double2 pmin<double2>(const double2& a, const double2& b) {
+  return make_double2(fmin(a.x, b.x), fmin(a.y, b.y));
+}
+
+template<> EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE float4 pmax<float4>(const float4& a, const float4& b) {
+  return make_float4(fmaxf(a.x, b.x), fmaxf(a.y, b.y), fmaxf(a.z, b.z), fmaxf(a.w, b.w));
+}
+template<> EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE double2 pmax<double2>(const double2& a, const double2& b) {
+  return make_double2(fmax(a.x, b.x), fmax(a.y, b.y));
+}
+
+template<> EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE float4 pload<float4>(const float* from) {
+  return *reinterpret_cast<const float4*>(from);
+}
+
+template<> EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE double2 pload<double2>(const double* from) {
+  return *reinterpret_cast<const double2*>(from);
+}
+
+template<> EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE float4 ploadu<float4>(const float* from) {
+  return make_float4(from[0], from[1], from[2], from[3]);
+}
+template<> EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE double2 ploadu<double2>(const double* from) {
+  return make_double2(from[0], from[1]);
+}
+
+template<> EIGEN_STRONG_INLINE float4 ploaddup<float4>(const float*   from) {
+  return make_float4(from[0], from[0], from[1], from[1]);
+}
+template<> EIGEN_STRONG_INLINE double2 ploaddup<double2>(const double*  from) {
+  return make_double2(from[0], from[0]);
+}
+
+template<> EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE void pstore<float>(float*   to, const float4& from) {
+  *reinterpret_cast<float4*>(to) = from;
+}
+
+template<> EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE void pstore<double>(double* to, const double2& from) {
+  *reinterpret_cast<double2*>(to) = from;
+}
+
+template<> EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE void pstoreu<float>(float*  to, const float4& from) {
+  to[0] = from.x;
+  to[1] = from.y;
+  to[2] = from.z;
+  to[3] = from.w;
+}
+
+template<> EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE void pstoreu<double>(double* to, const double2& from) {
+  to[0] = from.x;
+  to[1] = from.y;
+}
+
+template<>
+EIGEN_DEVICE_FUNC EIGEN_ALWAYS_INLINE float4 ploadt_ro<float4, Aligned>(const float* from) {
+#if defined(__CUDA_ARCH__) && __CUDA_ARCH__ >= 350
+  return __ldg((const float4*)from);
+#else
+  return make_float4(from[0], from[1], from[2], from[3]);
+#endif
+}
+template<>
+EIGEN_DEVICE_FUNC EIGEN_ALWAYS_INLINE double2 ploadt_ro<double2, Aligned>(const double* from) {
+#if defined(__CUDA_ARCH__) && __CUDA_ARCH__ >= 350
+  return __ldg((const double2*)from);
+#else
+  return make_double2(from[0], from[1]);
+#endif
+}
+
+template<>
+EIGEN_DEVICE_FUNC EIGEN_ALWAYS_INLINE float4 ploadt_ro<float4, Unaligned>(const float* from) {
+#if defined(__CUDA_ARCH__) && __CUDA_ARCH__ >= 350
+  return make_float4(__ldg(from+0), __ldg(from+1), __ldg(from+2), __ldg(from+3));
+#else
+  return make_float4(from[0], from[1], from[2], from[3]);
+#endif
+}
+template<>
+EIGEN_DEVICE_FUNC EIGEN_ALWAYS_INLINE double2 ploadt_ro<double2, Unaligned>(const double* from) {
+#if defined(__CUDA_ARCH__) && __CUDA_ARCH__ >= 350
+  return make_double2(__ldg(from+0), __ldg(from+1));
+#else
+  return make_double2(from[0], from[1]);
+#endif
+}
+
+template<> EIGEN_DEVICE_FUNC inline float4 pgather<float, float4>(const float* from, Index stride) {
+  return make_float4(from[0*stride], from[1*stride], from[2*stride], from[3*stride]);
+}
+
+template<> EIGEN_DEVICE_FUNC inline double2 pgather<double, double2>(const double* from, Index stride) {
+  return make_double2(from[0*stride], from[1*stride]);
+}
+
+template<> EIGEN_DEVICE_FUNC inline void pscatter<float, float4>(float* to, const float4& from, Index stride) {
+  to[stride*0] = from.x;
+  to[stride*1] = from.y;
+  to[stride*2] = from.z;
+  to[stride*3] = from.w;
+}
+template<> EIGEN_DEVICE_FUNC inline void pscatter<double, double2>(double* to, const double2& from, Index stride) {
+  to[stride*0] = from.x;
+  to[stride*1] = from.y;
+}
+
+template<> EIGEN_DEVICE_FUNC inline float  pfirst<float4>(const float4& a) {
+  return a.x;
+}
+template<> EIGEN_DEVICE_FUNC inline double pfirst<double2>(const double2& a) {
+  return a.x;
+}
+
+template<> EIGEN_DEVICE_FUNC inline float  predux<float4>(const float4& a) {
+  return a.x + a.y + a.z + a.w;
+}
+template<> EIGEN_DEVICE_FUNC inline double predux<double2>(const double2& a) {
+  return a.x + a.y;
+}
+
+template<> EIGEN_DEVICE_FUNC inline float  predux_max<float4>(const float4& a) {
+  return fmaxf(fmaxf(a.x, a.y), fmaxf(a.z, a.w));
+}
+template<> EIGEN_DEVICE_FUNC inline double predux_max<double2>(const double2& a) {
+  return fmax(a.x, a.y);
+}
+
+template<> EIGEN_DEVICE_FUNC inline float  predux_min<float4>(const float4& a) {
+  return fminf(fminf(a.x, a.y), fminf(a.z, a.w));
+}
+template<> EIGEN_DEVICE_FUNC inline double predux_min<double2>(const double2& a) {
+  return fmin(a.x, a.y);
+}
+
+template<> EIGEN_DEVICE_FUNC inline float  predux_mul<float4>(const float4& a) {
+  return a.x * a.y * a.z * a.w;
+}
+template<> EIGEN_DEVICE_FUNC inline double predux_mul<double2>(const double2& a) {
+  return a.x * a.y;
+}
+
+template<> EIGEN_DEVICE_FUNC inline float4  pabs<float4>(const float4& a) {
+  return make_float4(fabsf(a.x), fabsf(a.y), fabsf(a.z), fabsf(a.w));
+}
+template<> EIGEN_DEVICE_FUNC inline double2 pabs<double2>(const double2& a) {
+  return make_double2(fabs(a.x), fabs(a.y));
+}
+
+EIGEN_DEVICE_FUNC inline void
+ptranspose(PacketBlock<float4,4>& kernel) {
+  float tmp = kernel.packet[0].y;
+  kernel.packet[0].y = kernel.packet[1].x;
+  kernel.packet[1].x = tmp;
+
+  tmp = kernel.packet[0].z;
+  kernel.packet[0].z = kernel.packet[2].x;
+  kernel.packet[2].x = tmp;
+
+  tmp = kernel.packet[0].w;
+  kernel.packet[0].w = kernel.packet[3].x;
+  kernel.packet[3].x = tmp;
+
+  tmp = kernel.packet[1].z;
+  kernel.packet[1].z = kernel.packet[2].y;
+  kernel.packet[2].y = tmp;
+
+  tmp = kernel.packet[1].w;
+  kernel.packet[1].w = kernel.packet[3].y;
+  kernel.packet[3].y = tmp;
+
+  tmp = kernel.packet[2].w;
+  kernel.packet[2].w = kernel.packet[3].z;
+  kernel.packet[3].z = tmp;
+}
+
+EIGEN_DEVICE_FUNC inline void
+ptranspose(PacketBlock<double2,2>& kernel) {
+  double tmp = kernel.packet[0].y;
+  kernel.packet[0].y = kernel.packet[1].x;
+  kernel.packet[1].x = tmp;
+}
+
+#endif
+
+} // end namespace internal
+
+} // end namespace Eigen
+
+
+#endif // EIGEN_PACKET_MATH_CUDA_H
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/arch/CUDA/MathFunctions.h
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/arch/CUDA/MathFunctions.h	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/arch/CUDA/MathFunctions.h	(revision 3761)
@@ -0,0 +1,91 @@
+// This file is part of Eigen, a lightweight C++ template library
+// for linear algebra.
+//
+// Copyright (C) 2014 Benoit Steiner <benoit.steiner.goog@gmail.com>
+//
+// This Source Code Form is subject to the terms of the Mozilla
+// Public License v. 2.0. If a copy of the MPL was not distributed
+// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
+
+#ifndef EIGEN_MATH_FUNCTIONS_CUDA_H
+#define EIGEN_MATH_FUNCTIONS_CUDA_H
+
+namespace Eigen {
+
+namespace internal {
+
+// Make sure this is only available when targeting a GPU: we don't want to
+// introduce conflicts between these packet_traits definitions and the ones
+// we'll use on the host side (SSE, AVX, ...)
+#if defined(__CUDACC__) && defined(EIGEN_USE_GPU)
+template<> EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE
+float4 plog<float4>(const float4& a)
+{
+  return make_float4(logf(a.x), logf(a.y), logf(a.z), logf(a.w));
+}
+
+template<>  EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE
+double2 plog<double2>(const double2& a)
+{
+  using ::log;
+  return make_double2(log(a.x), log(a.y));
+}
+
+template<> EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE
+float4 plog1p<float4>(const float4& a)
+{
+  return make_float4(log1pf(a.x), log1pf(a.y), log1pf(a.z), log1pf(a.w));
+}
+
+template<>  EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE
+double2 plog1p<double2>(const double2& a)
+{
+  return make_double2(log1p(a.x), log1p(a.y));
+}
+
+template<> EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE
+float4 pexp<float4>(const float4& a)
+{
+  return make_float4(expf(a.x), expf(a.y), expf(a.z), expf(a.w));
+}
+
+template<> EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE
+double2 pexp<double2>(const double2& a)
+{
+  using ::exp;
+  return make_double2(exp(a.x), exp(a.y));
+}
+
+template<> EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE
+float4 psqrt<float4>(const float4& a)
+{
+  return make_float4(sqrtf(a.x), sqrtf(a.y), sqrtf(a.z), sqrtf(a.w));
+}
+
+template<> EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE
+double2 psqrt<double2>(const double2& a)
+{
+  using ::sqrt;
+  return make_double2(sqrt(a.x), sqrt(a.y));
+}
+
+template<> EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE
+float4 prsqrt<float4>(const float4& a)
+{
+  return make_float4(rsqrtf(a.x), rsqrtf(a.y), rsqrtf(a.z), rsqrtf(a.w));
+}
+
+template<> EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE
+double2 prsqrt<double2>(const double2& a)
+{
+  return make_double2(rsqrt(a.x), rsqrt(a.y));
+}
+
+
+#endif
+
+} // end namespace internal
+
+} // end namespace Eigen
+
+#endif // EIGEN_MATH_FUNCTIONS_CUDA_H
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/arch/CUDA/Complex.h
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/arch/CUDA/Complex.h	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/arch/CUDA/Complex.h	(revision 3761)
@@ -0,0 +1,103 @@
+// This file is part of Eigen, a lightweight C++ template library
+// for linear algebra.
+//
+// Copyright (C) 2014 Benoit Steiner <benoit.steiner.goog@gmail.com>
+//
+// This Source Code Form is subject to the terms of the Mozilla
+// Public License v. 2.0. If a copy of the MPL was not distributed
+// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
+
+#ifndef EIGEN_COMPLEX_CUDA_H
+#define EIGEN_COMPLEX_CUDA_H
+
+// clang-format off
+
+namespace Eigen {
+
+namespace internal {
+
+#if defined(__CUDACC__) && defined(EIGEN_USE_GPU)
+
+// Many std::complex methods such as operator+, operator-, operator* and
+// operator/ are not constexpr. Due to this, clang does not treat them as device
+// functions and thus Eigen functors making use of these operators fail to
+// compile. Here, we manually specialize these functors for complex types when
+// building for CUDA to avoid non-constexpr methods.
+
+// Sum
+template<typename T> struct scalar_sum_op<const std::complex<T>, const std::complex<T> > : binary_op_base<const std::complex<T>, const std::complex<T> > {
+  typedef typename std::complex<T> result_type;
+
+  EIGEN_EMPTY_STRUCT_CTOR(scalar_sum_op)
+  EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE std::complex<T> operator() (const std::complex<T>& a, const std::complex<T>& b) const {
+    return std::complex<T>(numext::real(a) + numext::real(b),
+                           numext::imag(a) + numext::imag(b));
+  }
+};
+
+template<typename T> struct scalar_sum_op<std::complex<T>, std::complex<T> > : scalar_sum_op<const std::complex<T>, const std::complex<T> > {};
+
+
+// Difference
+template<typename T> struct scalar_difference_op<const std::complex<T>, const std::complex<T> >  : binary_op_base<const std::complex<T>, const std::complex<T> > {
+  typedef typename std::complex<T> result_type;
+
+  EIGEN_EMPTY_STRUCT_CTOR(scalar_difference_op)
+  EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE std::complex<T> operator() (const std::complex<T>& a, const std::complex<T>& b) const {
+    return std::complex<T>(numext::real(a) - numext::real(b),
+                           numext::imag(a) - numext::imag(b));
+  }
+};
+
+template<typename T> struct scalar_difference_op<std::complex<T>, std::complex<T> > : scalar_difference_op<const std::complex<T>, const std::complex<T> > {};
+
+
+// Product
+template<typename T> struct scalar_product_op<const std::complex<T>, const std::complex<T> >  : binary_op_base<const std::complex<T>, const std::complex<T> > {
+  enum {
+    Vectorizable = packet_traits<std::complex<T>>::HasMul
+  };
+  typedef typename std::complex<T> result_type;
+
+  EIGEN_EMPTY_STRUCT_CTOR(scalar_product_op)
+  EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE std::complex<T> operator() (const std::complex<T>& a, const std::complex<T>& b) const {
+    const T a_real = numext::real(a);
+    const T a_imag = numext::imag(a);
+    const T b_real = numext::real(b);
+    const T b_imag = numext::imag(b);
+    return std::complex<T>(a_real * b_real - a_imag * b_imag,
+                           a_real * b_imag + a_imag * b_real);
+  }
+};
+
+template<typename T> struct scalar_product_op<std::complex<T>, std::complex<T> > : scalar_product_op<const std::complex<T>, const std::complex<T> > {};
+
+
+// Quotient
+template<typename T> struct scalar_quotient_op<const std::complex<T>, const std::complex<T> > : binary_op_base<const std::complex<T>, const std::complex<T> > {
+  enum {
+    Vectorizable = packet_traits<std::complex<T>>::HasDiv
+  };
+  typedef typename std::complex<T> result_type;
+
+  EIGEN_EMPTY_STRUCT_CTOR(scalar_quotient_op)
+  EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE std::complex<T> operator() (const std::complex<T>& a, const std::complex<T>& b) const {
+    const T a_real = numext::real(a);
+    const T a_imag = numext::imag(a);
+    const T b_real = numext::real(b);
+    const T b_imag = numext::imag(b);
+    const T norm = T(1) / (b_real * b_real + b_imag * b_imag);
+    return std::complex<T>((a_real * b_real + a_imag * b_imag) * norm,
+                           (a_imag * b_real - a_real * b_imag) * norm);
+  }
+};
+
+template<typename T> struct scalar_quotient_op<std::complex<T>, std::complex<T> > : scalar_quotient_op<const std::complex<T>, const std::complex<T> > {};
+
+#endif
+
+} // end namespace internal
+
+} // end namespace Eigen
+
+#endif // EIGEN_COMPLEX_CUDA_H
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/arch/ZVector/PacketMath.h
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/arch/ZVector/PacketMath.h	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/arch/ZVector/PacketMath.h	(revision 3761)
@@ -0,0 +1,945 @@
+// This file is part of Eigen, a lightweight C++ template library
+// for linear algebra.
+//
+// Copyright (C) 2016 Konstantinos Margaritis <markos@freevec.org>
+//
+// This Source Code Form is subject to the terms of the Mozilla
+// Public License v. 2.0. If a copy of the MPL was not distributed
+// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
+
+#ifndef EIGEN_PACKET_MATH_ZVECTOR_H
+#define EIGEN_PACKET_MATH_ZVECTOR_H
+
+#include <stdint.h>
+
+namespace Eigen {
+
+namespace internal {
+
+#ifndef EIGEN_CACHEFRIENDLY_PRODUCT_THRESHOLD
+#define EIGEN_CACHEFRIENDLY_PRODUCT_THRESHOLD 4
+#endif
+
+#ifndef EIGEN_HAS_SINGLE_INSTRUCTION_MADD
+#define EIGEN_HAS_SINGLE_INSTRUCTION_MADD
+#endif
+
+#ifndef EIGEN_HAS_SINGLE_INSTRUCTION_CJMADD
+#define EIGEN_HAS_SINGLE_INSTRUCTION_CJMADD
+#endif
+
+#ifndef EIGEN_ARCH_DEFAULT_NUMBER_OF_REGISTERS
+#define EIGEN_ARCH_DEFAULT_NUMBER_OF_REGISTERS  16
+#endif
+
+typedef __vector int                 Packet4i;
+typedef __vector unsigned int        Packet4ui;
+typedef __vector __bool int          Packet4bi;
+typedef __vector short int           Packet8i;
+typedef __vector unsigned char       Packet16uc;
+typedef __vector double              Packet2d;
+typedef __vector unsigned long long  Packet2ul;
+typedef __vector long long           Packet2l;
+
+typedef struct {
+	Packet2d  v4f[2];
+} Packet4f;
+
+typedef union {
+  int32_t   i[4];
+  uint32_t ui[4];
+  int64_t   l[2];
+  uint64_t ul[2];
+  double    d[2];
+  Packet4i  v4i;
+  Packet4ui v4ui;
+  Packet2l  v2l;
+  Packet2ul v2ul;
+  Packet2d  v2d;
+} Packet;
+
+// We don't want to write the same code all the time, but we need to reuse the constants
+// and it doesn't really work to declare them global, so we define macros instead
+
+#define _EIGEN_DECLARE_CONST_FAST_Packet4i(NAME,X) \
+  Packet4i p4i_##NAME = reinterpret_cast<Packet4i>(vec_splat_s32(X))
+
+#define _EIGEN_DECLARE_CONST_FAST_Packet2d(NAME,X) \
+  Packet2d p2d_##NAME = reinterpret_cast<Packet2d>(vec_splat_s64(X))
+
+#define _EIGEN_DECLARE_CONST_FAST_Packet2l(NAME,X) \
+  Packet2l p2l_##NAME = reinterpret_cast<Packet2l>(vec_splat_s64(X))
+
+#define _EIGEN_DECLARE_CONST_Packet4i(NAME,X) \
+  Packet4i p4i_##NAME = pset1<Packet4i>(X)
+
+#define _EIGEN_DECLARE_CONST_Packet2d(NAME,X) \
+  Packet2d p2d_##NAME = pset1<Packet2d>(X)
+
+#define _EIGEN_DECLARE_CONST_Packet2l(NAME,X) \
+  Packet2l p2l_##NAME = pset1<Packet2l>(X)
+
+// These constants are endian-agnostic
+//static _EIGEN_DECLARE_CONST_FAST_Packet4i(ZERO, 0); //{ 0, 0, 0, 0,}
+static _EIGEN_DECLARE_CONST_FAST_Packet4i(ONE, 1); //{ 1, 1, 1, 1}
+
+static _EIGEN_DECLARE_CONST_FAST_Packet2d(ZERO, 0);
+static _EIGEN_DECLARE_CONST_FAST_Packet2l(ZERO, 0);
+static _EIGEN_DECLARE_CONST_FAST_Packet2l(ONE, 1);
+
+static Packet2d p2d_ONE = { 1.0, 1.0 }; 
+static Packet2d p2d_ZERO_ = { -0.0, -0.0 };
+
+static Packet4i p4i_COUNTDOWN = { 0, 1, 2, 3 };
+static Packet4f p4f_COUNTDOWN = { 0.0, 1.0, 2.0, 3.0 };
+static Packet2d p2d_COUNTDOWN = reinterpret_cast<Packet2d>(vec_sld(reinterpret_cast<Packet16uc>(p2d_ZERO), reinterpret_cast<Packet16uc>(p2d_ONE), 8));
+
+static Packet16uc p16uc_PSET64_HI = { 0,1,2,3, 4,5,6,7, 0,1,2,3, 4,5,6,7 };
+static Packet16uc p16uc_DUPLICATE32_HI = { 0,1,2,3, 0,1,2,3, 4,5,6,7, 4,5,6,7 };
+
+// Mask alignment
+#define _EIGEN_MASK_ALIGNMENT	0xfffffffffffffff0
+
+#define _EIGEN_ALIGNED_PTR(x)	((std::ptrdiff_t)(x) & _EIGEN_MASK_ALIGNMENT)
+
+// Handle endianness properly while loading constants
+// Define global static constants:
+
+static Packet16uc p16uc_FORWARD =   { 0,1,2,3, 4,5,6,7, 8,9,10,11, 12,13,14,15 };
+static Packet16uc p16uc_REVERSE32 = { 12,13,14,15, 8,9,10,11, 4,5,6,7, 0,1,2,3 };
+static Packet16uc p16uc_REVERSE64 = { 8,9,10,11, 12,13,14,15, 0,1,2,3, 4,5,6,7 };
+
+static Packet16uc p16uc_PSET32_WODD   = vec_sld((Packet16uc) vec_splat((Packet4ui)p16uc_FORWARD, 0), (Packet16uc) vec_splat((Packet4ui)p16uc_FORWARD, 2), 8);//{ 0,1,2,3, 0,1,2,3, 8,9,10,11, 8,9,10,11 };
+static Packet16uc p16uc_PSET32_WEVEN  = vec_sld(p16uc_DUPLICATE32_HI, (Packet16uc) vec_splat((Packet4ui)p16uc_FORWARD, 3), 8);//{ 4,5,6,7, 4,5,6,7, 12,13,14,15, 12,13,14,15 };
+/*static Packet16uc p16uc_HALF64_0_16 = vec_sld((Packet16uc)p4i_ZERO, vec_splat((Packet16uc) vec_abs(p4i_MINUS16), 3), 8);      //{ 0,0,0,0, 0,0,0,0, 16,16,16,16, 16,16,16,16};
+
+static Packet16uc p16uc_PSET64_HI = (Packet16uc) vec_mergeh((Packet4ui)p16uc_PSET32_WODD, (Packet4ui)p16uc_PSET32_WEVEN);     //{ 0,1,2,3, 4,5,6,7, 0,1,2,3, 4,5,6,7 };*/
+static Packet16uc p16uc_PSET64_LO = (Packet16uc) vec_mergel((Packet4ui)p16uc_PSET32_WODD, (Packet4ui)p16uc_PSET32_WEVEN);     //{ 8,9,10,11, 12,13,14,15, 8,9,10,11, 12,13,14,15 };
+/*static Packet16uc p16uc_TRANSPOSE64_HI = vec_add(p16uc_PSET64_HI, p16uc_HALF64_0_16);                                         //{ 0,1,2,3, 4,5,6,7, 16,17,18,19, 20,21,22,23};
+static Packet16uc p16uc_TRANSPOSE64_LO = vec_add(p16uc_PSET64_LO, p16uc_HALF64_0_16);                                         //{ 8,9,10,11, 12,13,14,15, 24,25,26,27, 28,29,30,31};*/
+static Packet16uc p16uc_TRANSPOSE64_HI = { 0,1,2,3, 4,5,6,7, 16,17,18,19, 20,21,22,23};
+static Packet16uc p16uc_TRANSPOSE64_LO = { 8,9,10,11, 12,13,14,15, 24,25,26,27, 28,29,30,31};
+
+//static Packet16uc p16uc_COMPLEX32_REV = vec_sld(p16uc_REVERSE32, p16uc_REVERSE32, 8);                                         //{ 4,5,6,7, 0,1,2,3, 12,13,14,15, 8,9,10,11 };
+
+//static Packet16uc p16uc_COMPLEX32_REV2 = vec_sld(p16uc_FORWARD, p16uc_FORWARD, 8);                                            //{ 8,9,10,11, 12,13,14,15, 0,1,2,3, 4,5,6,7 };
+
+
+#if EIGEN_HAS_BUILTIN(__builtin_prefetch) || EIGEN_COMP_GNUC
+  #define EIGEN_ZVECTOR_PREFETCH(ADDR) __builtin_prefetch(ADDR);
+#else
+  #define EIGEN_ZVECTOR_PREFETCH(ADDR) asm( "   pfd [%[addr]]\n" :: [addr] "r" (ADDR) : "cc" );
+#endif
+
+template<> struct packet_traits<int>    : default_packet_traits
+{
+  typedef Packet4i type;
+  typedef Packet4i half;
+  enum {
+    Vectorizable = 1,
+    AlignedOnScalar = 1,
+    size = 4,
+    HasHalfPacket = 0,
+
+    HasAdd  = 1,
+    HasSub  = 1,
+    HasMul  = 1,
+    HasDiv  = 1,
+    HasBlend = 1
+  };
+};
+
+template<> struct packet_traits<float> : default_packet_traits
+{
+  typedef Packet4f type;
+  typedef Packet4f half;
+  enum {
+    Vectorizable = 1,
+    AlignedOnScalar = 1,
+    size=4,
+    HasHalfPacket = 0,
+
+    HasAdd  = 1,
+    HasSub  = 1,
+    HasMul  = 1,
+    HasDiv  = 1,
+    HasMin  = 1,
+    HasMax  = 1,
+    HasAbs  = 1,
+    HasSin  = 0,
+    HasCos  = 0,
+    HasLog  = 0,
+    HasExp  = 1,
+    HasSqrt = 1,
+    HasRsqrt = 1,
+    HasRound = 1,
+    HasFloor = 1,
+    HasCeil = 1,
+    HasNegate = 1,
+    HasBlend = 1
+  };
+};
+
+template<> struct packet_traits<double> : default_packet_traits
+{
+  typedef Packet2d type;
+  typedef Packet2d half;
+  enum {
+    Vectorizable = 1,
+    AlignedOnScalar = 1,
+    size=2,
+    HasHalfPacket = 1,
+
+    HasAdd  = 1,
+    HasSub  = 1,
+    HasMul  = 1,
+    HasDiv  = 1,
+    HasMin  = 1,
+    HasMax  = 1,
+    HasAbs  = 1,
+    HasSin  = 0,
+    HasCos  = 0,
+    HasLog  = 0,
+    HasExp  = 1,
+    HasSqrt = 1,
+    HasRsqrt = 1,
+    HasRound = 1,
+    HasFloor = 1,
+    HasCeil = 1,
+    HasNegate = 1,
+    HasBlend = 1
+  };
+};
+
+template<> struct unpacket_traits<Packet4i> { typedef int    type; enum {size=4, alignment=Aligned16}; typedef Packet4i half; };
+template<> struct unpacket_traits<Packet4f> { typedef float  type; enum {size=4, alignment=Aligned16}; typedef Packet4f half; };
+template<> struct unpacket_traits<Packet2d> { typedef double type; enum {size=2, alignment=Aligned16}; typedef Packet2d half; };
+
+/* Forward declaration */
+EIGEN_DEVICE_FUNC inline void ptranspose(PacketBlock<Packet4f,4>& kernel);
+ 
+inline std::ostream & operator <<(std::ostream & s, const Packet4i & v)
+{
+  Packet vt;
+  vt.v4i = v;
+  s << vt.i[0] << ", " << vt.i[1] << ", " << vt.i[2] << ", " << vt.i[3];
+  return s;
+}
+
+inline std::ostream & operator <<(std::ostream & s, const Packet4ui & v)
+{
+  Packet vt;
+  vt.v4ui = v;
+  s << vt.ui[0] << ", " << vt.ui[1] << ", " << vt.ui[2] << ", " << vt.ui[3];
+  return s;
+}
+
+inline std::ostream & operator <<(std::ostream & s, const Packet2l & v)
+{
+  Packet vt;
+  vt.v2l = v;
+  s << vt.l[0] << ", " << vt.l[1];
+  return s;
+}
+
+inline std::ostream & operator <<(std::ostream & s, const Packet2ul & v)
+{
+  Packet vt;
+  vt.v2ul = v;
+  s << vt.ul[0] << ", " << vt.ul[1] ;
+  return s;
+}
+
+inline std::ostream & operator <<(std::ostream & s, const Packet2d & v)
+{
+  Packet vt;
+  vt.v2d = v;
+  s << vt.d[0] << ", " << vt.d[1];
+  return s;
+}
+
+/* Helper function to simulate a vec_splat_packet4f
+ */
+template<int element> EIGEN_STRONG_INLINE Packet4f vec_splat_packet4f(const Packet4f&   from)
+{
+  Packet4f splat;
+  switch (element) {
+  case 0:
+    splat.v4f[0] = vec_splat(from.v4f[0], 0);
+    splat.v4f[1] = splat.v4f[0];
+    break;
+  case 1:
+    splat.v4f[0] = vec_splat(from.v4f[0], 1);
+    splat.v4f[1] = splat.v4f[0];
+    break;
+  case 2:
+    splat.v4f[0] = vec_splat(from.v4f[1], 0);
+    splat.v4f[1] = splat.v4f[0];
+    break;
+  case 3:
+    splat.v4f[0] = vec_splat(from.v4f[1], 1);
+    splat.v4f[1] = splat.v4f[0];
+    break;
+  }
+  return splat;
+}
+
+template<int Offset>
+struct palign_impl<Offset,Packet4i>
+{
+  static EIGEN_STRONG_INLINE void run(Packet4i& first, const Packet4i& second)
+  {
+    switch (Offset % 4) {
+    case 1:
+      first = vec_sld(first, second, 4); break;
+    case 2:
+      first = vec_sld(first, second, 8); break;
+    case 3:
+      first = vec_sld(first, second, 12); break;
+    }
+  }
+};
+
+/* This is a tricky one, we have to translate float alignment to vector elements of sizeof double
+ */
+template<int Offset>
+struct palign_impl<Offset,Packet4f>
+{
+  static EIGEN_STRONG_INLINE void run(Packet4f& first, const Packet4f& second)
+  {
+    switch (Offset % 4) {
+    case 1:
+      first.v4f[0] = vec_sld(first.v4f[0], first.v4f[1], 8);
+      first.v4f[1] = vec_sld(first.v4f[1], second.v4f[0], 8);
+      break;
+    case 2:
+      first.v4f[0] = first.v4f[1];
+      first.v4f[1] = second.v4f[0];
+      break;
+    case 3:
+      first.v4f[0] = vec_sld(first.v4f[1],  second.v4f[0], 8);
+      first.v4f[1] = vec_sld(second.v4f[0], second.v4f[1], 8);
+      break;
+    }
+  }
+};
+
+
+template<int Offset>
+struct palign_impl<Offset,Packet2d>
+{
+  static EIGEN_STRONG_INLINE void run(Packet2d& first, const Packet2d& second)
+  {
+    if (Offset == 1)
+      first = reinterpret_cast<Packet2d>(vec_sld(reinterpret_cast<Packet4i>(first), reinterpret_cast<Packet4i>(second), 8));
+  }
+};
+
+template<> EIGEN_STRONG_INLINE Packet4i pload<Packet4i>(const int*     from)
+{
+  // FIXME: No intrinsic yet
+  EIGEN_DEBUG_ALIGNED_LOAD
+  Packet *vfrom;
+  vfrom = (Packet *) from;
+  return vfrom->v4i;
+}
+
+template<> EIGEN_STRONG_INLINE Packet4f pload<Packet4f>(const float*   from)
+{
+  // FIXME: No intrinsic yet
+  EIGEN_DEBUG_ALIGNED_LOAD
+  Packet4f vfrom;
+  vfrom.v4f[0] = vec_ld2f(&from[0]);
+  vfrom.v4f[1] = vec_ld2f(&from[2]);
+  return vfrom;
+}
+
+template<> EIGEN_STRONG_INLINE Packet2d pload<Packet2d>(const double* from)
+{
+  // FIXME: No intrinsic yet
+  EIGEN_DEBUG_ALIGNED_LOAD
+  Packet *vfrom;
+  vfrom = (Packet *) from;
+  return vfrom->v2d;
+}
+
+template<> EIGEN_STRONG_INLINE void pstore<int>(int*       to, const Packet4i& from)
+{
+  // FIXME: No intrinsic yet
+  EIGEN_DEBUG_ALIGNED_STORE
+  Packet *vto;
+  vto = (Packet *) to;
+  vto->v4i = from;
+}
+
+template<> EIGEN_STRONG_INLINE void pstore<float>(float*   to, const Packet4f& from)
+{
+  // FIXME: No intrinsic yet
+  EIGEN_DEBUG_ALIGNED_STORE
+  vec_st2f(from.v4f[0], &to[0]);
+  vec_st2f(from.v4f[1], &to[2]);
+}
+
+
+template<> EIGEN_STRONG_INLINE void pstore<double>(double*   to, const Packet2d& from)
+{
+  // FIXME: No intrinsic yet
+  EIGEN_DEBUG_ALIGNED_STORE
+  Packet *vto;
+  vto = (Packet *) to;
+  vto->v2d = from;
+}
+
+template<> EIGEN_STRONG_INLINE Packet4i pset1<Packet4i>(const int&    from)
+{
+  return vec_splats(from);
+}
+template<> EIGEN_STRONG_INLINE Packet2d pset1<Packet2d>(const double& from) {
+  return vec_splats(from);
+}
+template<> EIGEN_STRONG_INLINE Packet4f pset1<Packet4f>(const float&    from)
+{
+  Packet4f to;
+  to.v4f[0] = pset1<Packet2d>(static_cast<const double&>(from));
+  to.v4f[1] = to.v4f[0];
+  return to;
+}
+
+template<> EIGEN_STRONG_INLINE void
+pbroadcast4<Packet4i>(const int *a,
+                      Packet4i& a0, Packet4i& a1, Packet4i& a2, Packet4i& a3)
+{
+  a3 = pload<Packet4i>(a);
+  a0 = vec_splat(a3, 0);
+  a1 = vec_splat(a3, 1);
+  a2 = vec_splat(a3, 2);
+  a3 = vec_splat(a3, 3);
+}
+
+template<> EIGEN_STRONG_INLINE void
+pbroadcast4<Packet4f>(const float *a,
+                      Packet4f& a0, Packet4f& a1, Packet4f& a2, Packet4f& a3)
+{
+  a3 = pload<Packet4f>(a);
+  a0 = vec_splat_packet4f<0>(a3);
+  a1 = vec_splat_packet4f<1>(a3);
+  a2 = vec_splat_packet4f<2>(a3);
+  a3 = vec_splat_packet4f<3>(a3);
+}
+
+template<> EIGEN_STRONG_INLINE void
+pbroadcast4<Packet2d>(const double *a,
+                      Packet2d& a0, Packet2d& a1, Packet2d& a2, Packet2d& a3)
+{
+  a1 = pload<Packet2d>(a);
+  a0 = vec_splat(a1, 0);
+  a1 = vec_splat(a1, 1);
+  a3 = pload<Packet2d>(a+2);
+  a2 = vec_splat(a3, 0);
+  a3 = vec_splat(a3, 1);
+}
+
+template<> EIGEN_DEVICE_FUNC inline Packet4i pgather<int, Packet4i>(const int* from, Index stride)
+{
+  int EIGEN_ALIGN16 ai[4];
+  ai[0] = from[0*stride];
+  ai[1] = from[1*stride];
+  ai[2] = from[2*stride];
+  ai[3] = from[3*stride];
+ return pload<Packet4i>(ai);
+}
+
+template<> EIGEN_DEVICE_FUNC inline Packet4f pgather<float, Packet4f>(const float* from, Index stride)
+{
+  float EIGEN_ALIGN16 ai[4];
+  ai[0] = from[0*stride];
+  ai[1] = from[1*stride];
+  ai[2] = from[2*stride];
+  ai[3] = from[3*stride];
+ return pload<Packet4f>(ai);
+}
+
+template<> EIGEN_DEVICE_FUNC inline Packet2d pgather<double, Packet2d>(const double* from, Index stride)
+{
+  double EIGEN_ALIGN16 af[2];
+  af[0] = from[0*stride];
+  af[1] = from[1*stride];
+ return pload<Packet2d>(af);
+}
+
+template<> EIGEN_DEVICE_FUNC inline void pscatter<int, Packet4i>(int* to, const Packet4i& from, Index stride)
+{
+  int EIGEN_ALIGN16 ai[4];
+  pstore<int>((int *)ai, from);
+  to[0*stride] = ai[0];
+  to[1*stride] = ai[1];
+  to[2*stride] = ai[2];
+  to[3*stride] = ai[3];
+}
+
+template<> EIGEN_DEVICE_FUNC inline void pscatter<float, Packet4f>(float* to, const Packet4f& from, Index stride)
+{
+  float EIGEN_ALIGN16 ai[4];
+  pstore<float>((float *)ai, from);
+  to[0*stride] = ai[0];
+  to[1*stride] = ai[1];
+  to[2*stride] = ai[2];
+  to[3*stride] = ai[3];
+}
+
+template<> EIGEN_DEVICE_FUNC inline void pscatter<double, Packet2d>(double* to, const Packet2d& from, Index stride)
+{
+  double EIGEN_ALIGN16 af[2];
+  pstore<double>(af, from);
+  to[0*stride] = af[0];
+  to[1*stride] = af[1];
+}
+
+template<> EIGEN_STRONG_INLINE Packet4i padd<Packet4i>(const Packet4i& a, const Packet4i& b) { return (a + b); }
+template<> EIGEN_STRONG_INLINE Packet4f padd<Packet4f>(const Packet4f& a, const Packet4f& b)
+{
+  Packet4f c;
+  c.v4f[0] = a.v4f[0] + b.v4f[0];
+  c.v4f[1] = a.v4f[1] + b.v4f[1];
+  return c;
+}
+template<> EIGEN_STRONG_INLINE Packet2d padd<Packet2d>(const Packet2d& a, const Packet2d& b) { return (a + b); }
+
+template<> EIGEN_STRONG_INLINE Packet4i psub<Packet4i>(const Packet4i& a, const Packet4i& b) { return (a - b); }
+template<> EIGEN_STRONG_INLINE Packet4f psub<Packet4f>(const Packet4f& a, const Packet4f& b)
+{
+  Packet4f c;
+  c.v4f[0] = a.v4f[0] - b.v4f[0];
+  c.v4f[1] = a.v4f[1] - b.v4f[1];
+  return c;
+}
+template<> EIGEN_STRONG_INLINE Packet2d psub<Packet2d>(const Packet2d& a, const Packet2d& b) { return (a - b); }
+
+template<> EIGEN_STRONG_INLINE Packet4i pmul<Packet4i>(const Packet4i& a, const Packet4i& b) { return (a * b); }
+template<> EIGEN_STRONG_INLINE Packet4f pmul<Packet4f>(const Packet4f& a, const Packet4f& b)
+{
+  Packet4f c;
+  c.v4f[0] = a.v4f[0] * b.v4f[0];
+  c.v4f[1] = a.v4f[1] * b.v4f[1];
+  return c;
+}
+template<> EIGEN_STRONG_INLINE Packet2d pmul<Packet2d>(const Packet2d& a, const Packet2d& b) { return (a * b); }
+
+template<> EIGEN_STRONG_INLINE Packet4i pdiv<Packet4i>(const Packet4i& a, const Packet4i& b) { return (a / b); }
+template<> EIGEN_STRONG_INLINE Packet4f pdiv<Packet4f>(const Packet4f& a, const Packet4f& b)
+{
+  Packet4f c;
+  c.v4f[0] = a.v4f[0] / b.v4f[0];
+  c.v4f[1] = a.v4f[1] / b.v4f[1];
+  return c;
+}
+template<> EIGEN_STRONG_INLINE Packet2d pdiv<Packet2d>(const Packet2d& a, const Packet2d& b) { return (a / b); }
+
+template<> EIGEN_STRONG_INLINE Packet4i pnegate(const Packet4i& a) { return (-a); }
+template<> EIGEN_STRONG_INLINE Packet4f pnegate(const Packet4f& a)
+{
+  Packet4f c;
+  c.v4f[0] = -a.v4f[0];
+  c.v4f[1] = -a.v4f[1];
+  return c;
+}
+template<> EIGEN_STRONG_INLINE Packet2d pnegate(const Packet2d& a) { return (-a); }
+
+template<> EIGEN_STRONG_INLINE Packet4i pconj(const Packet4i& a) { return a; }
+template<> EIGEN_STRONG_INLINE Packet4f pconj(const Packet4f& a) { return a; }
+template<> EIGEN_STRONG_INLINE Packet2d pconj(const Packet2d& a) { return a; }
+
+template<> EIGEN_STRONG_INLINE Packet4i pmadd(const Packet4i& a, const Packet4i& b, const Packet4i& c) { return padd<Packet4i>(pmul<Packet4i>(a, b), c); }
+template<> EIGEN_STRONG_INLINE Packet4f pmadd(const Packet4f& a, const Packet4f& b, const Packet4f& c)
+{
+  Packet4f res;
+  res.v4f[0] = vec_madd(a.v4f[0], b.v4f[0], c.v4f[0]);
+  res.v4f[1] = vec_madd(a.v4f[1], b.v4f[1], c.v4f[1]);
+  return res;
+}
+template<> EIGEN_STRONG_INLINE Packet2d pmadd(const Packet2d& a, const Packet2d& b, const Packet2d& c) { return vec_madd(a, b, c); }
+
+template<> EIGEN_STRONG_INLINE Packet4i plset<Packet4i>(const int& a)    { return padd<Packet4i>(pset1<Packet4i>(a), p4i_COUNTDOWN); }
+template<> EIGEN_STRONG_INLINE Packet4f plset<Packet4f>(const float& a)  { return padd<Packet4f>(pset1<Packet4f>(a), p4f_COUNTDOWN); }
+template<> EIGEN_STRONG_INLINE Packet2d plset<Packet2d>(const double& a) { return padd<Packet2d>(pset1<Packet2d>(a), p2d_COUNTDOWN); }
+
+template<> EIGEN_STRONG_INLINE Packet4i pmin<Packet4i>(const Packet4i& a, const Packet4i& b) { return vec_min(a, b); }
+template<> EIGEN_STRONG_INLINE Packet2d pmin<Packet2d>(const Packet2d& a, const Packet2d& b) { return vec_min(a, b); }
+template<> EIGEN_STRONG_INLINE Packet4f pmin<Packet4f>(const Packet4f& a, const Packet4f& b)
+{
+  Packet4f res;
+  res.v4f[0] = pmin(a.v4f[0], b.v4f[0]);
+  res.v4f[1] = pmin(a.v4f[1], b.v4f[1]);
+  return res;
+}
+
+template<> EIGEN_STRONG_INLINE Packet4i pmax<Packet4i>(const Packet4i& a, const Packet4i& b) { return vec_max(a, b); }
+template<> EIGEN_STRONG_INLINE Packet2d pmax<Packet2d>(const Packet2d& a, const Packet2d& b) { return vec_max(a, b); }
+template<> EIGEN_STRONG_INLINE Packet4f pmax<Packet4f>(const Packet4f& a, const Packet4f& b)
+{
+  Packet4f res;
+  res.v4f[0] = pmax(a.v4f[0], b.v4f[0]);
+  res.v4f[1] = pmax(a.v4f[1], b.v4f[1]);
+  return res;
+}
+
+template<> EIGEN_STRONG_INLINE Packet4i pand<Packet4i>(const Packet4i& a, const Packet4i& b) { return vec_and(a, b); }
+template<> EIGEN_STRONG_INLINE Packet2d pand<Packet2d>(const Packet2d& a, const Packet2d& b) { return vec_and(a, b); }
+template<> EIGEN_STRONG_INLINE Packet4f pand<Packet4f>(const Packet4f& a, const Packet4f& b)
+{
+  Packet4f res;
+  res.v4f[0] = pand(a.v4f[0], b.v4f[0]);
+  res.v4f[1] = pand(a.v4f[1], b.v4f[1]);
+  return res;
+}
+
+template<> EIGEN_STRONG_INLINE Packet4i por<Packet4i>(const Packet4i& a, const Packet4i& b) { return vec_or(a, b); }
+template<> EIGEN_STRONG_INLINE Packet2d por<Packet2d>(const Packet2d& a, const Packet2d& b) { return vec_or(a, b); }
+template<> EIGEN_STRONG_INLINE Packet4f por<Packet4f>(const Packet4f& a, const Packet4f& b)
+{
+  Packet4f res;
+  res.v4f[0] = pand(a.v4f[0], b.v4f[0]);
+  res.v4f[1] = pand(a.v4f[1], b.v4f[1]);
+  return res;
+}
+
+template<> EIGEN_STRONG_INLINE Packet4i pxor<Packet4i>(const Packet4i& a, const Packet4i& b) { return vec_xor(a, b); }
+template<> EIGEN_STRONG_INLINE Packet2d pxor<Packet2d>(const Packet2d& a, const Packet2d& b) { return vec_xor(a, b); }
+template<> EIGEN_STRONG_INLINE Packet4f pxor<Packet4f>(const Packet4f& a, const Packet4f& b)
+{
+  Packet4f res;
+  res.v4f[0] = pand(a.v4f[0], b.v4f[0]);
+  res.v4f[1] = pand(a.v4f[1], b.v4f[1]);
+  return res;
+}
+
+template<> EIGEN_STRONG_INLINE Packet4i pandnot<Packet4i>(const Packet4i& a, const Packet4i& b) { return pand<Packet4i>(a, vec_nor(b, b)); }
+template<> EIGEN_STRONG_INLINE Packet2d pandnot<Packet2d>(const Packet2d& a, const Packet2d& b) { return vec_and(a, vec_nor(b, b)); }
+template<> EIGEN_STRONG_INLINE Packet4f pandnot<Packet4f>(const Packet4f& a, const Packet4f& b)
+{
+  Packet4f res;
+  res.v4f[0] = pandnot(a.v4f[0], b.v4f[0]);
+  res.v4f[1] = pandnot(a.v4f[1], b.v4f[1]);
+  return res;
+}
+
+template<> EIGEN_STRONG_INLINE Packet4f pround<Packet4f>(const Packet4f& a)
+{
+  Packet4f res;
+  res.v4f[0] = vec_round(a.v4f[0]);
+  res.v4f[1] = vec_round(a.v4f[1]);
+  return res;
+}
+template<> EIGEN_STRONG_INLINE Packet2d pround<Packet2d>(const Packet2d& a) { return vec_round(a); }
+template<> EIGEN_STRONG_INLINE Packet4f pceil<Packet4f>(const  Packet4f& a)
+{
+  Packet4f res;
+  res.v4f[0] = vec_ceil(a.v4f[0]);
+  res.v4f[1] = vec_ceil(a.v4f[1]);
+  return res;
+}
+template<> EIGEN_STRONG_INLINE Packet2d pceil<Packet2d>(const  Packet2d& a) { return vec_ceil(a); }
+template<> EIGEN_STRONG_INLINE Packet4f pfloor<Packet4f>(const Packet4f& a)
+{
+  Packet4f res;
+  res.v4f[0] = vec_floor(a.v4f[0]);
+  res.v4f[1] = vec_floor(a.v4f[1]);
+  return res;
+}
+template<> EIGEN_STRONG_INLINE Packet2d pfloor<Packet2d>(const Packet2d& a) { return vec_floor(a); }
+
+template<> EIGEN_STRONG_INLINE Packet4i ploadu<Packet4i>(const int*       from) { return pload<Packet4i>(from); }
+template<> EIGEN_STRONG_INLINE Packet4f ploadu<Packet4f>(const float*     from) { return pload<Packet4f>(from); }
+template<> EIGEN_STRONG_INLINE Packet2d ploadu<Packet2d>(const double*    from) { return pload<Packet2d>(from); }
+
+
+template<> EIGEN_STRONG_INLINE Packet4i ploaddup<Packet4i>(const int*     from)
+{
+  Packet4i p = pload<Packet4i>(from);
+  return vec_perm(p, p, p16uc_DUPLICATE32_HI);
+}
+
+template<> EIGEN_STRONG_INLINE Packet4f ploaddup<Packet4f>(const float*    from)
+{
+  Packet4f p = pload<Packet4f>(from);
+  p.v4f[1] = vec_splat(p.v4f[0], 1);
+  p.v4f[0] = vec_splat(p.v4f[0], 0);
+  return p;
+}
+
+template<> EIGEN_STRONG_INLINE Packet2d ploaddup<Packet2d>(const double*   from)
+{
+  Packet2d p = pload<Packet2d>(from);
+  return vec_perm(p, p, p16uc_PSET64_HI);
+}
+
+template<> EIGEN_STRONG_INLINE void pstoreu<int>(int*        to, const Packet4i& from) { pstore<int>(to, from); }
+template<> EIGEN_STRONG_INLINE void pstoreu<float>(float*    to, const Packet4f& from) { pstore<float>(to, from); }
+template<> EIGEN_STRONG_INLINE void pstoreu<double>(double*  to, const Packet2d& from) { pstore<double>(to, from); }
+
+template<> EIGEN_STRONG_INLINE void prefetch<int>(const int*       addr) { EIGEN_ZVECTOR_PREFETCH(addr); }
+template<> EIGEN_STRONG_INLINE void prefetch<float>(const float*   addr) { EIGEN_ZVECTOR_PREFETCH(addr); }
+template<> EIGEN_STRONG_INLINE void prefetch<double>(const double* addr) { EIGEN_ZVECTOR_PREFETCH(addr); }
+
+template<> EIGEN_STRONG_INLINE int    pfirst<Packet4i>(const Packet4i& a) { int    EIGEN_ALIGN16 x[4]; pstore(x, a); return x[0]; }
+template<> EIGEN_STRONG_INLINE float  pfirst<Packet4f>(const Packet4f& a) { float  EIGEN_ALIGN16 x[2]; vec_st2f(a.v4f[0], &x[0]); return x[0]; }
+template<> EIGEN_STRONG_INLINE double pfirst<Packet2d>(const Packet2d& a) { double EIGEN_ALIGN16 x[2]; pstore(x, a); return x[0]; }
+
+template<> EIGEN_STRONG_INLINE Packet4i preverse(const Packet4i& a)
+{
+  return reinterpret_cast<Packet4i>(vec_perm(reinterpret_cast<Packet16uc>(a), reinterpret_cast<Packet16uc>(a), p16uc_REVERSE32));
+}
+
+template<> EIGEN_STRONG_INLINE Packet2d preverse(const Packet2d& a)
+{
+  return reinterpret_cast<Packet2d>(vec_perm(reinterpret_cast<Packet16uc>(a), reinterpret_cast<Packet16uc>(a), p16uc_REVERSE64));
+}
+
+template<> EIGEN_STRONG_INLINE Packet4f preverse(const Packet4f& a)
+{
+  Packet4f rev;
+  rev.v4f[0] = preverse<Packet2d>(a.v4f[1]);
+  rev.v4f[1] = preverse<Packet2d>(a.v4f[0]);
+  return rev;
+}
+
+template<> EIGEN_STRONG_INLINE Packet4i pabs<Packet4i>(const Packet4i& a) { return vec_abs(a); }
+template<> EIGEN_STRONG_INLINE Packet2d pabs<Packet2d>(const Packet2d& a) { return vec_abs(a); }
+template<> EIGEN_STRONG_INLINE Packet4f pabs<Packet4f>(const Packet4f& a)
+{
+  Packet4f res;
+  res.v4f[0] = pabs(a.v4f[0]);
+  res.v4f[1] = pabs(a.v4f[1]);
+  return res;
+}
+
+template<> EIGEN_STRONG_INLINE int predux<Packet4i>(const Packet4i& a)
+{
+  Packet4i b, sum;
+  b   = vec_sld(a, a, 8);
+  sum = padd<Packet4i>(a, b);
+  b   = vec_sld(sum, sum, 4);
+  sum = padd<Packet4i>(sum, b);
+  return pfirst(sum);
+}
+
+template<> EIGEN_STRONG_INLINE double predux<Packet2d>(const Packet2d& a)
+{
+  Packet2d b, sum;
+  b   = reinterpret_cast<Packet2d>(vec_sld(reinterpret_cast<Packet4i>(a), reinterpret_cast<Packet4i>(a), 8));
+  sum = padd<Packet2d>(a, b);
+  return pfirst(sum);
+}
+template<> EIGEN_STRONG_INLINE float predux<Packet4f>(const Packet4f& a)
+{
+  Packet2d sum;
+  sum = padd<Packet2d>(a.v4f[0], a.v4f[1]);
+  double first = predux<Packet2d>(sum);
+  return static_cast<float>(first);
+}
+
+template<> EIGEN_STRONG_INLINE Packet4i preduxp<Packet4i>(const Packet4i* vecs)
+{
+  Packet4i v[4], sum[4];
+
+  // It's easier and faster to transpose then add as columns
+  // Check: http://www.freevec.org/function/matrix_4x4_transpose_floats for explanation
+  // Do the transpose, first set of moves
+  v[0] = vec_mergeh(vecs[0], vecs[2]);
+  v[1] = vec_mergel(vecs[0], vecs[2]);
+  v[2] = vec_mergeh(vecs[1], vecs[3]);
+  v[3] = vec_mergel(vecs[1], vecs[3]);
+  // Get the resulting vectors
+  sum[0] = vec_mergeh(v[0], v[2]);
+  sum[1] = vec_mergel(v[0], v[2]);
+  sum[2] = vec_mergeh(v[1], v[3]);
+  sum[3] = vec_mergel(v[1], v[3]);
+
+  // Now do the summation:
+  // Lines 0+1
+  sum[0] = padd<Packet4i>(sum[0], sum[1]);
+  // Lines 2+3
+  sum[1] = padd<Packet4i>(sum[2], sum[3]);
+  // Add the results
+  sum[0] = padd<Packet4i>(sum[0], sum[1]);
+
+  return sum[0];
+}
+
+template<> EIGEN_STRONG_INLINE Packet2d preduxp<Packet2d>(const Packet2d* vecs)
+{
+  Packet2d v[2], sum;
+  v[0] = padd<Packet2d>(vecs[0], reinterpret_cast<Packet2d>(vec_sld(reinterpret_cast<Packet4ui>(vecs[0]), reinterpret_cast<Packet4ui>(vecs[0]), 8)));
+  v[1] = padd<Packet2d>(vecs[1], reinterpret_cast<Packet2d>(vec_sld(reinterpret_cast<Packet4ui>(vecs[1]), reinterpret_cast<Packet4ui>(vecs[1]), 8)));
+ 
+  sum = reinterpret_cast<Packet2d>(vec_sld(reinterpret_cast<Packet4ui>(v[0]), reinterpret_cast<Packet4ui>(v[1]), 8));
+
+  return sum;
+}
+
+template<> EIGEN_STRONG_INLINE Packet4f preduxp<Packet4f>(const Packet4f* vecs)
+{
+  PacketBlock<Packet4f,4> transpose;
+  transpose.packet[0] = vecs[0];
+  transpose.packet[1] = vecs[1];
+  transpose.packet[2] = vecs[2];
+  transpose.packet[3] = vecs[3];
+  ptranspose(transpose);
+
+  Packet4f sum = padd(transpose.packet[0], transpose.packet[1]);
+  sum = padd(sum, transpose.packet[2]);
+  sum = padd(sum, transpose.packet[3]);
+  return sum;
+}
+
+// Other reduction functions:
+// mul
+template<> EIGEN_STRONG_INLINE int predux_mul<Packet4i>(const Packet4i& a)
+{
+  EIGEN_ALIGN16 int aux[4];
+  pstore(aux, a);
+  return aux[0] * aux[1] * aux[2] * aux[3];
+}
+
+template<> EIGEN_STRONG_INLINE double predux_mul<Packet2d>(const Packet2d& a)
+{
+  return pfirst(pmul(a, reinterpret_cast<Packet2d>(vec_sld(reinterpret_cast<Packet4i>(a), reinterpret_cast<Packet4i>(a), 8))));
+}
+
+template<> EIGEN_STRONG_INLINE float predux_mul<Packet4f>(const Packet4f& a)
+{
+  // Return predux_mul<Packet2d> of the subvectors product
+  return static_cast<float>(pfirst(predux_mul(pmul(a.v4f[0], a.v4f[1]))));
+}
+
+// min
+template<> EIGEN_STRONG_INLINE int predux_min<Packet4i>(const Packet4i& a)
+{
+  Packet4i b, res;
+  b   = pmin<Packet4i>(a, vec_sld(a, a, 8));
+  res = pmin<Packet4i>(b, vec_sld(b, b, 4));
+  return pfirst(res);
+}
+
+template<> EIGEN_STRONG_INLINE double predux_min<Packet2d>(const Packet2d& a)
+{
+  return pfirst(pmin<Packet2d>(a, reinterpret_cast<Packet2d>(vec_sld(reinterpret_cast<Packet4i>(a), reinterpret_cast<Packet4i>(a), 8))));
+}
+
+template<> EIGEN_STRONG_INLINE float predux_min<Packet4f>(const Packet4f& a)
+{
+  Packet2d b, res;
+  b   = pmin<Packet2d>(a.v4f[0], a.v4f[1]);
+  res = pmin<Packet2d>(b, reinterpret_cast<Packet2d>(vec_sld(reinterpret_cast<Packet4i>(b), reinterpret_cast<Packet4i>(b), 8)));
+  return static_cast<float>(pfirst(res));
+}
+
+// max
+template<> EIGEN_STRONG_INLINE int predux_max<Packet4i>(const Packet4i& a)
+{
+  Packet4i b, res;
+  b = pmax<Packet4i>(a, vec_sld(a, a, 8));
+  res = pmax<Packet4i>(b, vec_sld(b, b, 4));
+  return pfirst(res);
+}
+
+// max
+template<> EIGEN_STRONG_INLINE double predux_max<Packet2d>(const Packet2d& a)
+{
+  return pfirst(pmax<Packet2d>(a, reinterpret_cast<Packet2d>(vec_sld(reinterpret_cast<Packet4i>(a), reinterpret_cast<Packet4i>(a), 8))));
+}
+
+template<> EIGEN_STRONG_INLINE float predux_max<Packet4f>(const Packet4f& a)
+{
+  Packet2d b, res;
+  b   = pmax<Packet2d>(a.v4f[0], a.v4f[1]);
+  res = pmax<Packet2d>(b, reinterpret_cast<Packet2d>(vec_sld(reinterpret_cast<Packet4i>(b), reinterpret_cast<Packet4i>(b), 8)));
+  return static_cast<float>(pfirst(res));
+}
+
+EIGEN_DEVICE_FUNC inline void
+ptranspose(PacketBlock<Packet4i,4>& kernel) {
+  Packet4i t0 = vec_mergeh(kernel.packet[0], kernel.packet[2]);
+  Packet4i t1 = vec_mergel(kernel.packet[0], kernel.packet[2]);
+  Packet4i t2 = vec_mergeh(kernel.packet[1], kernel.packet[3]);
+  Packet4i t3 = vec_mergel(kernel.packet[1], kernel.packet[3]);
+  kernel.packet[0] = vec_mergeh(t0, t2);
+  kernel.packet[1] = vec_mergel(t0, t2);
+  kernel.packet[2] = vec_mergeh(t1, t3);
+  kernel.packet[3] = vec_mergel(t1, t3);
+}
+
+EIGEN_DEVICE_FUNC inline void
+ptranspose(PacketBlock<Packet2d,2>& kernel) {
+  Packet2d t0 = vec_perm(kernel.packet[0], kernel.packet[1], p16uc_TRANSPOSE64_HI);
+  Packet2d t1 = vec_perm(kernel.packet[0], kernel.packet[1], p16uc_TRANSPOSE64_LO);
+  kernel.packet[0] = t0;
+  kernel.packet[1] = t1;
+}
+
+/* Split the Packet4f PacketBlock into 4 Packet2d PacketBlocks and transpose each one
+ */
+EIGEN_DEVICE_FUNC inline void
+ptranspose(PacketBlock<Packet4f,4>& kernel) {
+  PacketBlock<Packet2d,2> t0,t1,t2,t3;
+  // copy top-left 2x2 Packet2d block
+  t0.packet[0] = kernel.packet[0].v4f[0];
+  t0.packet[1] = kernel.packet[1].v4f[0];
+
+  // copy top-right 2x2 Packet2d block
+  t1.packet[0] = kernel.packet[0].v4f[1];
+  t1.packet[1] = kernel.packet[1].v4f[1];
+
+  // copy bottom-left 2x2 Packet2d block
+  t2.packet[0] = kernel.packet[2].v4f[0];
+  t2.packet[1] = kernel.packet[3].v4f[0];
+
+  // copy bottom-right 2x2 Packet2d block
+  t3.packet[0] = kernel.packet[2].v4f[1];
+  t3.packet[1] = kernel.packet[3].v4f[1];
+
+  // Transpose all 2x2 blocks
+  ptranspose(t0);
+  ptranspose(t1);
+  ptranspose(t2);
+  ptranspose(t3);
+
+  // Copy back transposed blocks, but exchange t1 and t2 due to transposition
+  kernel.packet[0].v4f[0] = t0.packet[0];
+  kernel.packet[0].v4f[1] = t2.packet[0];
+  kernel.packet[1].v4f[0] = t0.packet[1];
+  kernel.packet[1].v4f[1] = t2.packet[1];
+  kernel.packet[2].v4f[0] = t1.packet[0];
+  kernel.packet[2].v4f[1] = t3.packet[0];
+  kernel.packet[3].v4f[0] = t1.packet[1];
+  kernel.packet[3].v4f[1] = t3.packet[1];
+}
+
+template<> EIGEN_STRONG_INLINE Packet4i pblend(const Selector<4>& ifPacket, const Packet4i& thenPacket, const Packet4i& elsePacket) {
+  Packet4ui select = { ifPacket.select[0], ifPacket.select[1], ifPacket.select[2], ifPacket.select[3] };
+  Packet4ui mask = vec_cmpeq(select, reinterpret_cast<Packet4ui>(p4i_ONE));
+  return vec_sel(elsePacket, thenPacket, mask);
+}
+
+template<> EIGEN_STRONG_INLINE Packet4f pblend(const Selector<4>& ifPacket, const Packet4f& thenPacket, const Packet4f& elsePacket) {
+  Packet2ul select_hi = { ifPacket.select[0], ifPacket.select[1] };
+  Packet2ul select_lo = { ifPacket.select[2], ifPacket.select[3] };
+  Packet2ul mask_hi = vec_cmpeq(select_hi, reinterpret_cast<Packet2ul>(p2l_ONE));
+  Packet2ul mask_lo = vec_cmpeq(select_lo, reinterpret_cast<Packet2ul>(p2l_ONE));
+  Packet4f result;
+  result.v4f[0] = vec_sel(elsePacket.v4f[0], thenPacket.v4f[0], mask_hi);
+  result.v4f[1] = vec_sel(elsePacket.v4f[1], thenPacket.v4f[1], mask_lo);
+  return result;
+}
+
+template<> EIGEN_STRONG_INLINE Packet2d pblend(const Selector<2>& ifPacket, const Packet2d& thenPacket, const Packet2d& elsePacket) {
+  Packet2ul select = { ifPacket.select[0], ifPacket.select[1] };
+  Packet2ul mask = vec_cmpeq(select, reinterpret_cast<Packet2ul>(p2l_ONE));
+  return vec_sel(elsePacket, thenPacket, mask);
+}
+
+} // end namespace internal
+
+} // end namespace Eigen
+
+#endif // EIGEN_PACKET_MATH_ZVECTOR_H
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/arch/ZVector/MathFunctions.h
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/arch/ZVector/MathFunctions.h	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/arch/ZVector/MathFunctions.h	(revision 3761)
@@ -0,0 +1,137 @@
+// This file is part of Eigen, a lightweight C++ template library
+// for linear algebra.
+//
+// Copyright (C) 2007 Julien Pommier
+// Copyright (C) 2009 Gael Guennebaud <gael.guennebaud@inria.fr>
+// Copyright (C) 2016 Konstantinos Margaritis <markos@freevec.org>
+//
+// This Source Code Form is subject to the terms of the Mozilla
+// Public License v. 2.0. If a copy of the MPL was not distributed
+// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
+
+/* The sin, cos, exp, and log functions of this file come from
+ * Julien Pommier's sse math library: http://gruntthepeon.free.fr/ssemath/
+ */
+
+#ifndef EIGEN_MATH_FUNCTIONS_ALTIVEC_H
+#define EIGEN_MATH_FUNCTIONS_ALTIVEC_H
+
+namespace Eigen {
+
+namespace internal {
+
+static _EIGEN_DECLARE_CONST_Packet2d(1 , 1.0);
+static _EIGEN_DECLARE_CONST_Packet2d(2 , 2.0);
+static _EIGEN_DECLARE_CONST_Packet2d(half, 0.5);
+
+static _EIGEN_DECLARE_CONST_Packet2d(exp_hi,  709.437);
+static _EIGEN_DECLARE_CONST_Packet2d(exp_lo, -709.436139303);
+
+static _EIGEN_DECLARE_CONST_Packet2d(cephes_LOG2EF, 1.4426950408889634073599);
+
+static _EIGEN_DECLARE_CONST_Packet2d(cephes_exp_p0, 1.26177193074810590878e-4);
+static _EIGEN_DECLARE_CONST_Packet2d(cephes_exp_p1, 3.02994407707441961300e-2);
+static _EIGEN_DECLARE_CONST_Packet2d(cephes_exp_p2, 9.99999999999999999910e-1);
+
+static _EIGEN_DECLARE_CONST_Packet2d(cephes_exp_q0, 3.00198505138664455042e-6);
+static _EIGEN_DECLARE_CONST_Packet2d(cephes_exp_q1, 2.52448340349684104192e-3);
+static _EIGEN_DECLARE_CONST_Packet2d(cephes_exp_q2, 2.27265548208155028766e-1);
+static _EIGEN_DECLARE_CONST_Packet2d(cephes_exp_q3, 2.00000000000000000009e0);
+
+static _EIGEN_DECLARE_CONST_Packet2d(cephes_exp_C1, 0.693145751953125);
+static _EIGEN_DECLARE_CONST_Packet2d(cephes_exp_C2, 1.42860682030941723212e-6);
+
+template<> EIGEN_DEFINE_FUNCTION_ALLOWING_MULTIPLE_DEFINITIONS EIGEN_UNUSED
+Packet2d pexp<Packet2d>(const Packet2d& _x)
+{
+  Packet2d x = _x;
+
+  Packet2d tmp, fx;
+  Packet2l emm0;
+
+  // clamp x
+  x = pmax(pmin(x, p2d_exp_hi), p2d_exp_lo);
+  /* express exp(x) as exp(g + n*log(2)) */
+  fx = pmadd(p2d_cephes_LOG2EF, x, p2d_half);
+
+  fx = vec_floor(fx);
+
+  tmp = pmul(fx, p2d_cephes_exp_C1);
+  Packet2d z = pmul(fx, p2d_cephes_exp_C2);
+  x = psub(x, tmp);
+  x = psub(x, z);
+
+  Packet2d x2 = pmul(x,x);
+
+  Packet2d px = p2d_cephes_exp_p0;
+  px = pmadd(px, x2, p2d_cephes_exp_p1);
+  px = pmadd(px, x2, p2d_cephes_exp_p2);
+  px = pmul (px, x);
+
+  Packet2d qx = p2d_cephes_exp_q0;
+  qx = pmadd(qx, x2, p2d_cephes_exp_q1);
+  qx = pmadd(qx, x2, p2d_cephes_exp_q2);
+  qx = pmadd(qx, x2, p2d_cephes_exp_q3);
+
+  x = pdiv(px,psub(qx,px));
+  x = pmadd(p2d_2,x,p2d_1);
+
+  // build 2^n
+  emm0 = vec_ctsl(fx, 0);
+
+  static const Packet2l p2l_1023 = { 1023, 1023 };
+  static const Packet2ul p2ul_52 = { 52, 52 };
+
+  emm0 = emm0 + p2l_1023;
+  emm0 = emm0 << reinterpret_cast<Packet2l>(p2ul_52);
+
+  // Altivec's max & min operators just drop silent NaNs. Check NaNs in 
+  // inputs and return them unmodified.
+  Packet2ul isnumber_mask = reinterpret_cast<Packet2ul>(vec_cmpeq(_x, _x));
+  return vec_sel(_x, pmax(pmul(x, reinterpret_cast<Packet2d>(emm0)), _x),
+                 isnumber_mask);
+}
+
+template<> EIGEN_DEFINE_FUNCTION_ALLOWING_MULTIPLE_DEFINITIONS EIGEN_UNUSED
+Packet4f pexp<Packet4f>(const Packet4f& x)
+{
+  Packet4f res;
+  res.v4f[0] = pexp<Packet2d>(x.v4f[0]);
+  res.v4f[1] = pexp<Packet2d>(x.v4f[1]);
+  return res;
+}
+
+template<> EIGEN_DEFINE_FUNCTION_ALLOWING_MULTIPLE_DEFINITIONS EIGEN_UNUSED
+Packet2d psqrt<Packet2d>(const Packet2d& x)
+{
+  return  __builtin_s390_vfsqdb(x);
+}
+
+template<> EIGEN_DEFINE_FUNCTION_ALLOWING_MULTIPLE_DEFINITIONS EIGEN_UNUSED
+Packet4f psqrt<Packet4f>(const Packet4f& x)
+{
+  Packet4f res;
+  res.v4f[0] = psqrt<Packet2d>(x.v4f[0]);
+  res.v4f[1] = psqrt<Packet2d>(x.v4f[1]);
+  return res;
+}
+
+template<> EIGEN_DEFINE_FUNCTION_ALLOWING_MULTIPLE_DEFINITIONS EIGEN_UNUSED
+Packet2d prsqrt<Packet2d>(const Packet2d& x) {
+  // Unfortunately we can't use the much faster mm_rqsrt_pd since it only provides an approximation.
+  return pset1<Packet2d>(1.0) / psqrt<Packet2d>(x);
+}
+
+template<> EIGEN_DEFINE_FUNCTION_ALLOWING_MULTIPLE_DEFINITIONS EIGEN_UNUSED
+Packet4f prsqrt<Packet4f>(const Packet4f& x) {
+  Packet4f res;
+  res.v4f[0] = prsqrt<Packet2d>(x.v4f[0]);
+  res.v4f[1] = prsqrt<Packet2d>(x.v4f[1]);
+  return res;
+}
+
+}  // end namespace internal
+
+}  // end namespace Eigen
+
+#endif  // EIGEN_MATH_FUNCTIONS_ALTIVEC_H
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/arch/ZVector/Complex.h
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/arch/ZVector/Complex.h	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/arch/ZVector/Complex.h	(revision 3761)
@@ -0,0 +1,397 @@
+// This file is part of Eigen, a lightweight C++ template library
+// for linear algebra.
+//
+// Copyright (C) 2010 Gael Guennebaud <gael.guennebaud@inria.fr>
+// Copyright (C) 2016 Konstantinos Margaritis <markos@freevec.org>
+//
+// This Source Code Form is subject to the terms of the Mozilla
+// Public License v. 2.0. If a copy of the MPL was not distributed
+// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
+
+#ifndef EIGEN_COMPLEX32_ALTIVEC_H
+#define EIGEN_COMPLEX32_ALTIVEC_H
+
+namespace Eigen {
+
+namespace internal {
+
+static Packet2ul  p2ul_CONJ_XOR1 = (Packet2ul) vec_sld((Packet4ui) p2d_ZERO_, (Packet4ui) p2l_ZERO, 8);//{ 0x8000000000000000, 0x0000000000000000 };
+static Packet2ul  p2ul_CONJ_XOR2 = (Packet2ul) vec_sld((Packet4ui) p2l_ZERO,  (Packet4ui) p2d_ZERO_, 8);//{ 0x8000000000000000, 0x0000000000000000 };
+
+struct Packet1cd
+{
+  EIGEN_STRONG_INLINE Packet1cd() {}
+  EIGEN_STRONG_INLINE explicit Packet1cd(const Packet2d& a) : v(a) {}
+  Packet2d v;
+};
+
+struct Packet2cf
+{
+  EIGEN_STRONG_INLINE Packet2cf() {}
+  EIGEN_STRONG_INLINE explicit Packet2cf(const Packet4f& a) : v(a) {}
+  union {
+    Packet4f v;
+    Packet1cd cd[2];
+  };
+};
+
+template<> struct packet_traits<std::complex<float> >  : default_packet_traits
+{
+  typedef Packet2cf type;
+  typedef Packet2cf half;
+  enum {
+    Vectorizable = 1,
+    AlignedOnScalar = 1,
+    size = 2,
+    HasHalfPacket = 0,
+
+    HasAdd    = 1,
+    HasSub    = 1,
+    HasMul    = 1,
+    HasDiv    = 1,
+    HasNegate = 1,
+    HasAbs    = 0,
+    HasAbs2   = 0,
+    HasMin    = 0,
+    HasMax    = 0,
+    HasBlend  = 1,
+    HasSetLinear = 0
+  };
+};
+
+
+template<> struct packet_traits<std::complex<double> >  : default_packet_traits
+{
+  typedef Packet1cd type;
+  typedef Packet1cd half;
+  enum {
+    Vectorizable = 1,
+    AlignedOnScalar = 1,
+    size = 1,
+    HasHalfPacket = 0,
+
+    HasAdd    = 1,
+    HasSub    = 1,
+    HasMul    = 1,
+    HasDiv    = 1,
+    HasNegate = 1,
+    HasAbs    = 0,
+    HasAbs2   = 0,
+    HasMin    = 0,
+    HasMax    = 0,
+    HasSetLinear = 0
+  };
+};
+
+template<> struct unpacket_traits<Packet2cf> { typedef std::complex<float>  type; enum {size=2, alignment=Aligned16}; typedef Packet2cf half; };
+template<> struct unpacket_traits<Packet1cd> { typedef std::complex<double> type; enum {size=1, alignment=Aligned16}; typedef Packet1cd half; };
+
+/* Forward declaration */
+EIGEN_STRONG_INLINE void ptranspose(PacketBlock<Packet2cf,2>& kernel);
+
+template<> EIGEN_STRONG_INLINE Packet2cf pload <Packet2cf>(const std::complex<float>* from)  { EIGEN_DEBUG_ALIGNED_LOAD return Packet2cf(pload<Packet4f>((const float*)from)); }
+template<> EIGEN_STRONG_INLINE Packet1cd pload <Packet1cd>(const std::complex<double>* from) { EIGEN_DEBUG_ALIGNED_LOAD return Packet1cd(pload<Packet2d>((const double*)from)); }
+template<> EIGEN_STRONG_INLINE Packet2cf ploadu<Packet2cf>(const std::complex<float>* from)  { EIGEN_DEBUG_UNALIGNED_LOAD return Packet2cf(ploadu<Packet4f>((const float*)from)); }
+template<> EIGEN_STRONG_INLINE Packet1cd ploadu<Packet1cd>(const std::complex<double>* from) { EIGEN_DEBUG_UNALIGNED_LOAD return Packet1cd(ploadu<Packet2d>((const double*)from)); }
+template<> EIGEN_STRONG_INLINE void pstore <std::complex<float> >(std::complex<float> *     to, const Packet2cf& from) { EIGEN_DEBUG_ALIGNED_STORE pstore((float*)to, from.v); }
+template<> EIGEN_STRONG_INLINE void pstore <std::complex<double> >(std::complex<double> *   to, const Packet1cd& from) { EIGEN_DEBUG_ALIGNED_STORE pstore((double*)to, from.v); }
+template<> EIGEN_STRONG_INLINE void pstoreu<std::complex<float> >(std::complex<float> *     to, const Packet2cf& from) { EIGEN_DEBUG_UNALIGNED_STORE pstoreu((float*)to, from.v); }
+template<> EIGEN_STRONG_INLINE void pstoreu<std::complex<double> >(std::complex<double> *   to, const Packet1cd& from) { EIGEN_DEBUG_UNALIGNED_STORE pstoreu((double*)to, from.v); }
+
+template<> EIGEN_STRONG_INLINE Packet1cd pset1<Packet1cd>(const std::complex<double>&  from)
+{ /* here we really have to use unaligned loads :( */ return ploadu<Packet1cd>(&from); }
+
+template<> EIGEN_STRONG_INLINE Packet2cf pset1<Packet2cf>(const std::complex<float>&  from)
+{
+  Packet2cf res;
+  res.cd[0] = Packet1cd(vec_ld2f((const float *)&from));
+  res.cd[1] = res.cd[0];
+  return res;
+}
+template<> EIGEN_DEVICE_FUNC inline Packet2cf pgather<std::complex<float>, Packet2cf>(const std::complex<float>* from, Index stride)
+{
+  std::complex<float> EIGEN_ALIGN16 af[2];
+  af[0] = from[0*stride];
+  af[1] = from[1*stride];
+  return pload<Packet2cf>(af);
+}
+template<> EIGEN_DEVICE_FUNC inline Packet1cd pgather<std::complex<double>, Packet1cd>(const std::complex<double>* from, Index stride EIGEN_UNUSED)
+{
+  return pload<Packet1cd>(from);
+}
+template<> EIGEN_DEVICE_FUNC inline void pscatter<std::complex<float>, Packet2cf>(std::complex<float>* to, const Packet2cf& from, Index stride)
+{
+  std::complex<float> EIGEN_ALIGN16 af[2];
+  pstore<std::complex<float> >((std::complex<float> *) af, from);
+  to[0*stride] = af[0];
+  to[1*stride] = af[1];
+}
+template<> EIGEN_DEVICE_FUNC inline void pscatter<std::complex<double>, Packet1cd>(std::complex<double>* to, const Packet1cd& from, Index stride EIGEN_UNUSED)
+{
+  pstore<std::complex<double> >(to, from);
+}
+
+template<> EIGEN_STRONG_INLINE Packet2cf padd<Packet2cf>(const Packet2cf& a, const Packet2cf& b) { return Packet2cf(padd<Packet4f>(a.v, b.v)); }
+template<> EIGEN_STRONG_INLINE Packet1cd padd<Packet1cd>(const Packet1cd& a, const Packet1cd& b) { return Packet1cd(a.v + b.v); }
+template<> EIGEN_STRONG_INLINE Packet2cf psub<Packet2cf>(const Packet2cf& a, const Packet2cf& b) { return Packet2cf(psub<Packet4f>(a.v, b.v)); }
+template<> EIGEN_STRONG_INLINE Packet1cd psub<Packet1cd>(const Packet1cd& a, const Packet1cd& b) { return Packet1cd(a.v - b.v); }
+template<> EIGEN_STRONG_INLINE Packet1cd pnegate(const Packet1cd& a) { return Packet1cd(pnegate(Packet2d(a.v))); }
+template<> EIGEN_STRONG_INLINE Packet2cf pnegate(const Packet2cf& a) { return Packet2cf(pnegate(Packet4f(a.v))); }
+template<> EIGEN_STRONG_INLINE Packet1cd pconj(const Packet1cd& a) { return Packet1cd((Packet2d)vec_xor((Packet2d)a.v, (Packet2d)p2ul_CONJ_XOR2)); }
+template<> EIGEN_STRONG_INLINE Packet2cf pconj(const Packet2cf& a)
+{
+  Packet2cf res;
+  res.v.v4f[0] = pconj(Packet1cd(reinterpret_cast<Packet2d>(a.v.v4f[0]))).v;
+  res.v.v4f[1] = pconj(Packet1cd(reinterpret_cast<Packet2d>(a.v.v4f[1]))).v;
+  return res;
+}
+
+template<> EIGEN_STRONG_INLINE Packet1cd pmul<Packet1cd>(const Packet1cd& a, const Packet1cd& b)
+{
+  Packet2d a_re, a_im, v1, v2;
+
+  // Permute and multiply the real parts of a and b
+  a_re = vec_perm(a.v, a.v, p16uc_PSET64_HI);
+  // Get the imaginary parts of a
+  a_im = vec_perm(a.v, a.v, p16uc_PSET64_LO);
+  // multiply a_re * b
+  v1 = vec_madd(a_re, b.v, p2d_ZERO);
+  // multiply a_im * b and get the conjugate result
+  v2 = vec_madd(a_im, b.v, p2d_ZERO);
+  v2 = (Packet2d) vec_sld((Packet4ui)v2, (Packet4ui)v2, 8);
+  v2 = (Packet2d) vec_xor((Packet2d)v2, (Packet2d) p2ul_CONJ_XOR1);
+
+  return Packet1cd(v1 + v2);
+}
+template<> EIGEN_STRONG_INLINE Packet2cf pmul<Packet2cf>(const Packet2cf& a, const Packet2cf& b)
+{
+  Packet2cf res;
+  res.v.v4f[0] = pmul(Packet1cd(reinterpret_cast<Packet2d>(a.v.v4f[0])), Packet1cd(reinterpret_cast<Packet2d>(b.v.v4f[0]))).v;
+  res.v.v4f[1] = pmul(Packet1cd(reinterpret_cast<Packet2d>(a.v.v4f[1])), Packet1cd(reinterpret_cast<Packet2d>(b.v.v4f[1]))).v;
+  return res;
+}
+
+template<> EIGEN_STRONG_INLINE Packet1cd pand   <Packet1cd>(const Packet1cd& a, const Packet1cd& b) { return Packet1cd(vec_and(a.v,b.v)); }
+template<> EIGEN_STRONG_INLINE Packet2cf pand   <Packet2cf>(const Packet2cf& a, const Packet2cf& b) { return Packet2cf(pand<Packet4f>(a.v,b.v)); }
+template<> EIGEN_STRONG_INLINE Packet1cd por    <Packet1cd>(const Packet1cd& a, const Packet1cd& b) { return Packet1cd(vec_or(a.v,b.v)); }
+template<> EIGEN_STRONG_INLINE Packet2cf por    <Packet2cf>(const Packet2cf& a, const Packet2cf& b) { return Packet2cf(por<Packet4f>(a.v,b.v)); }
+template<> EIGEN_STRONG_INLINE Packet1cd pxor   <Packet1cd>(const Packet1cd& a, const Packet1cd& b) { return Packet1cd(vec_xor(a.v,b.v)); }
+template<> EIGEN_STRONG_INLINE Packet2cf pxor   <Packet2cf>(const Packet2cf& a, const Packet2cf& b) { return Packet2cf(pxor<Packet4f>(a.v,b.v)); }
+template<> EIGEN_STRONG_INLINE Packet1cd pandnot<Packet1cd>(const Packet1cd& a, const Packet1cd& b) { return Packet1cd(vec_and(a.v, vec_nor(b.v,b.v))); }
+template<> EIGEN_STRONG_INLINE Packet2cf pandnot<Packet2cf>(const Packet2cf& a, const Packet2cf& b) { return Packet2cf(pandnot<Packet4f>(a.v,b.v)); }
+
+template<> EIGEN_STRONG_INLINE Packet1cd ploaddup<Packet1cd>(const std::complex<double>*     from) {  return pset1<Packet1cd>(*from); }
+template<> EIGEN_STRONG_INLINE Packet2cf ploaddup<Packet2cf>(const std::complex<float>*      from) {  return pset1<Packet2cf>(*from); }
+
+template<> EIGEN_STRONG_INLINE void prefetch<std::complex<float> >(const std::complex<float> *     addr) { EIGEN_ZVECTOR_PREFETCH(addr); }
+template<> EIGEN_STRONG_INLINE void prefetch<std::complex<double> >(const std::complex<double> *   addr) { EIGEN_ZVECTOR_PREFETCH(addr); }
+
+template<> EIGEN_STRONG_INLINE std::complex<double>  pfirst<Packet1cd>(const Packet1cd& a)
+{
+  std::complex<double> EIGEN_ALIGN16 res;
+  pstore<std::complex<double> >(&res, a);
+
+  return res;
+}
+template<> EIGEN_STRONG_INLINE std::complex<float>  pfirst<Packet2cf>(const Packet2cf& a)
+{
+  std::complex<float> EIGEN_ALIGN16 res[2];
+  pstore<std::complex<float> >(res, a);
+
+  return res[0];
+}
+
+template<> EIGEN_STRONG_INLINE Packet1cd preverse(const Packet1cd& a) { return a; }
+template<> EIGEN_STRONG_INLINE Packet2cf preverse(const Packet2cf& a)
+{
+  Packet2cf res;
+  res.cd[0] = a.cd[1];
+  res.cd[1] = a.cd[0];
+  return res;
+}
+
+template<> EIGEN_STRONG_INLINE std::complex<double> predux<Packet1cd>(const Packet1cd& a)
+{
+  return pfirst(a);
+}
+template<> EIGEN_STRONG_INLINE std::complex<float> predux<Packet2cf>(const Packet2cf& a)
+{
+  std::complex<float> res;
+  Packet1cd b = padd<Packet1cd>(a.cd[0], a.cd[1]);
+  vec_st2f(b.v, (float*)&res);
+  return res;
+}
+
+template<> EIGEN_STRONG_INLINE Packet1cd preduxp<Packet1cd>(const Packet1cd* vecs)
+{
+  return vecs[0];
+}
+template<> EIGEN_STRONG_INLINE Packet2cf preduxp<Packet2cf>(const Packet2cf* vecs)
+{
+  PacketBlock<Packet2cf,2> transpose;
+  transpose.packet[0] = vecs[0];
+  transpose.packet[1] = vecs[1];
+  ptranspose(transpose);
+
+  return padd<Packet2cf>(transpose.packet[0], transpose.packet[1]);
+} 
+
+template<> EIGEN_STRONG_INLINE std::complex<double> predux_mul<Packet1cd>(const Packet1cd& a)
+{
+  return pfirst(a);
+}
+template<> EIGEN_STRONG_INLINE std::complex<float> predux_mul<Packet2cf>(const Packet2cf& a)
+{
+  std::complex<float> res;
+  Packet1cd b = pmul<Packet1cd>(a.cd[0], a.cd[1]);
+  vec_st2f(b.v, (float*)&res);
+  return res;
+}
+
+template<int Offset>
+struct palign_impl<Offset,Packet1cd>
+{
+  static EIGEN_STRONG_INLINE void run(Packet1cd& /*first*/, const Packet1cd& /*second*/)
+  {
+    // FIXME is it sure we never have to align a Packet1cd?
+    // Even though a std::complex<double> has 16 bytes, it is not necessarily aligned on a 16 bytes boundary...
+  }
+};
+
+template<int Offset>
+struct palign_impl<Offset,Packet2cf>
+{
+  static EIGEN_STRONG_INLINE void run(Packet2cf& first, const Packet2cf& second)
+  {
+    if (Offset == 1) {
+      first.cd[0] = first.cd[1];
+      first.cd[1] = second.cd[0];
+    }
+  }
+};
+
+template<> struct conj_helper<Packet1cd, Packet1cd, false,true>
+{
+  EIGEN_STRONG_INLINE Packet1cd pmadd(const Packet1cd& x, const Packet1cd& y, const Packet1cd& c) const
+  { return padd(pmul(x,y),c); }
+
+  EIGEN_STRONG_INLINE Packet1cd pmul(const Packet1cd& a, const Packet1cd& b) const
+  {
+    return internal::pmul(a, pconj(b));
+  }
+};
+
+template<> struct conj_helper<Packet1cd, Packet1cd, true,false>
+{
+  EIGEN_STRONG_INLINE Packet1cd pmadd(const Packet1cd& x, const Packet1cd& y, const Packet1cd& c) const
+  { return padd(pmul(x,y),c); }
+
+  EIGEN_STRONG_INLINE Packet1cd pmul(const Packet1cd& a, const Packet1cd& b) const
+  {
+    return internal::pmul(pconj(a), b);
+  }
+};
+
+template<> struct conj_helper<Packet1cd, Packet1cd, true,true>
+{
+  EIGEN_STRONG_INLINE Packet1cd pmadd(const Packet1cd& x, const Packet1cd& y, const Packet1cd& c) const
+  { return padd(pmul(x,y),c); }
+
+  EIGEN_STRONG_INLINE Packet1cd pmul(const Packet1cd& a, const Packet1cd& b) const
+  {
+    return pconj(internal::pmul(a, b));
+  }
+};
+
+template<> struct conj_helper<Packet2cf, Packet2cf, false,true>
+{
+  EIGEN_STRONG_INLINE Packet2cf pmadd(const Packet2cf& x, const Packet2cf& y, const Packet2cf& c) const
+  { return padd(pmul(x,y),c); }
+
+  EIGEN_STRONG_INLINE Packet2cf pmul(const Packet2cf& a, const Packet2cf& b) const
+  {
+    return internal::pmul(a, pconj(b));
+  }
+};
+
+template<> struct conj_helper<Packet2cf, Packet2cf, true,false>
+{
+  EIGEN_STRONG_INLINE Packet2cf pmadd(const Packet2cf& x, const Packet2cf& y, const Packet2cf& c) const
+  { return padd(pmul(x,y),c); }
+
+  EIGEN_STRONG_INLINE Packet2cf pmul(const Packet2cf& a, const Packet2cf& b) const
+  {
+    return internal::pmul(pconj(a), b);
+  }
+};
+
+template<> struct conj_helper<Packet2cf, Packet2cf, true,true>
+{
+  EIGEN_STRONG_INLINE Packet2cf pmadd(const Packet2cf& x, const Packet2cf& y, const Packet2cf& c) const
+  { return padd(pmul(x,y),c); }
+
+  EIGEN_STRONG_INLINE Packet2cf pmul(const Packet2cf& a, const Packet2cf& b) const
+  {
+    return pconj(internal::pmul(a, b));
+  }
+};
+
+EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f)
+EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d)
+
+template<> EIGEN_STRONG_INLINE Packet1cd pdiv<Packet1cd>(const Packet1cd& a, const Packet1cd& b)
+{
+  // TODO optimize it for AltiVec
+  Packet1cd res = conj_helper<Packet1cd,Packet1cd,false,true>().pmul(a,b);
+  Packet2d s = vec_madd(b.v, b.v, p2d_ZERO_);
+  return Packet1cd(pdiv(res.v, s + vec_perm(s, s, p16uc_REVERSE64)));
+}
+
+template<> EIGEN_STRONG_INLINE Packet2cf pdiv<Packet2cf>(const Packet2cf& a, const Packet2cf& b)
+{
+  // TODO optimize it for AltiVec
+  Packet2cf res;
+  res.cd[0] = pdiv<Packet1cd>(a.cd[0], b.cd[0]);
+  res.cd[1] = pdiv<Packet1cd>(a.cd[1], b.cd[1]);
+  return res;
+}
+
+EIGEN_STRONG_INLINE Packet1cd pcplxflip/*<Packet1cd>*/(const Packet1cd& x)
+{
+  return Packet1cd(preverse(Packet2d(x.v)));
+}
+
+EIGEN_STRONG_INLINE Packet2cf pcplxflip/*<Packet2cf>*/(const Packet2cf& x)
+{
+  Packet2cf res;
+  res.cd[0] = pcplxflip(x.cd[0]);
+  res.cd[1] = pcplxflip(x.cd[1]);
+  return res;
+}
+
+EIGEN_STRONG_INLINE void ptranspose(PacketBlock<Packet1cd,2>& kernel)
+{
+  Packet2d tmp = vec_perm(kernel.packet[0].v, kernel.packet[1].v, p16uc_TRANSPOSE64_HI);
+  kernel.packet[1].v = vec_perm(kernel.packet[0].v, kernel.packet[1].v, p16uc_TRANSPOSE64_LO);
+  kernel.packet[0].v = tmp;
+}
+
+EIGEN_STRONG_INLINE void ptranspose(PacketBlock<Packet2cf,2>& kernel)
+{
+  Packet1cd tmp = kernel.packet[0].cd[1];
+  kernel.packet[0].cd[1] = kernel.packet[1].cd[0];
+  kernel.packet[1].cd[0] = tmp;
+}
+
+template<> EIGEN_STRONG_INLINE Packet2cf pblend(const Selector<2>& ifPacket, const Packet2cf& thenPacket, const Packet2cf& elsePacket) {
+  Packet2cf result;
+  const Selector<4> ifPacket4 = { ifPacket.select[0], ifPacket.select[0], ifPacket.select[1], ifPacket.select[1] };
+  result.v = pblend<Packet4f>(ifPacket4, thenPacket.v, elsePacket.v);
+  return result;
+}
+
+} // end namespace internal
+
+} // end namespace Eigen
+
+#endif // EIGEN_COMPLEX32_ALTIVEC_H
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h	(revision 3761)
@@ -0,0 +1,47 @@
+// This file is part of Eigen, a lightweight C++ template library
+// for linear algebra.
+//
+// Copyright (C) 2009-2010 Gael Guennebaud <gael.guennebaud@inria.fr>
+//
+// This Source Code Form is subject to the terms of the Mozilla
+// Public License v. 2.0. If a copy of the MPL was not distributed
+// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
+
+#ifndef EIGEN_SELFCWISEBINARYOP_H
+#define EIGEN_SELFCWISEBINARYOP_H
+
+namespace Eigen { 
+
+// TODO generalize the scalar type of 'other'
+
+template<typename Derived>
+EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE Derived& DenseBase<Derived>::operator*=(const Scalar& other)
+{
+  internal::call_assignment(this->derived(), PlainObject::Constant(rows(),cols(),other), internal::mul_assign_op<Scalar,Scalar>());
+  return derived();
+}
+
+template<typename Derived>
+EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE Derived& ArrayBase<Derived>::operator+=(const Scalar& other)
+{
+  internal::call_assignment(this->derived(), PlainObject::Constant(rows(),cols(),other), internal::add_assign_op<Scalar,Scalar>());
+  return derived();
+}
+
+template<typename Derived>
+EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE Derived& ArrayBase<Derived>::operator-=(const Scalar& other)
+{
+  internal::call_assignment(this->derived(), PlainObject::Constant(rows(),cols(),other), internal::sub_assign_op<Scalar,Scalar>());
+  return derived();
+}
+
+template<typename Derived>
+EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE Derived& DenseBase<Derived>::operator/=(const Scalar& other)
+{
+  internal::call_assignment(this->derived(), PlainObject::Constant(rows(),cols(),other), internal::div_assign_op<Scalar,Scalar>());
+  return derived();
+}
+
+} // end namespace Eigen
+
+#endif // EIGEN_SELFCWISEBINARYOP_H
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h	(revision 3761)
@@ -0,0 +1,103 @@
+// This file is part of Eigen, a lightweight C++ template library
+// for linear algebra.
+//
+// Copyright (C) 2008-2014 Gael Guennebaud <gael.guennebaud@inria.fr>
+// Copyright (C) 2006-2008 Benoit Jacob <jacob.benoit.1@gmail.com>
+//
+// This Source Code Form is subject to the terms of the Mozilla
+// Public License v. 2.0. If a copy of the MPL was not distributed
+// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
+
+#ifndef EIGEN_CWISE_UNARY_OP_H
+#define EIGEN_CWISE_UNARY_OP_H
+
+namespace Eigen { 
+
+namespace internal {
+template<typename UnaryOp, typename XprType>
+struct traits<CwiseUnaryOp<UnaryOp, XprType> >
+ : traits<XprType>
+{
+  typedef typename result_of<
+                     UnaryOp(const typename XprType::Scalar&)
+                   >::type Scalar;
+  typedef typename XprType::Nested XprTypeNested;
+  typedef typename remove_reference<XprTypeNested>::type _XprTypeNested;
+  enum {
+    Flags = _XprTypeNested::Flags & RowMajorBit 
+  };
+};
+}
+
+template<typename UnaryOp, typename XprType, typename StorageKind>
+class CwiseUnaryOpImpl;
+
+/** \class CwiseUnaryOp
+  * \ingroup Core_Module
+  *
+  * \brief Generic expression where a coefficient-wise unary operator is applied to an expression
+  *
+  * \tparam UnaryOp template functor implementing the operator
+  * \tparam XprType the type of the expression to which we are applying the unary operator
+  *
+  * This class represents an expression where a unary operator is applied to an expression.
+  * It is the return type of all operations taking exactly 1 input expression, regardless of the
+  * presence of other inputs such as scalars. For example, the operator* in the expression 3*matrix
+  * is considered unary, because only the right-hand side is an expression, and its
+  * return type is a specialization of CwiseUnaryOp.
+  *
+  * Most of the time, this is the only way that it is used, so you typically don't have to name
+  * CwiseUnaryOp types explicitly.
+  *
+  * \sa MatrixBase::unaryExpr(const CustomUnaryOp &) const, class CwiseBinaryOp, class CwiseNullaryOp
+  */
+template<typename UnaryOp, typename XprType>
+class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
+{
+  public:
+
+    typedef typename CwiseUnaryOpImpl<UnaryOp, XprType,typename internal::traits<XprType>::StorageKind>::Base Base;
+    EIGEN_GENERIC_PUBLIC_INTERFACE(CwiseUnaryOp)
+    typedef typename internal::ref_selector<XprType>::type XprTypeNested;
+    typedef typename internal::remove_all<XprType>::type NestedExpression;
+
+    EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE
+    explicit CwiseUnaryOp(const XprType& xpr, const UnaryOp& func = UnaryOp())
+      : m_xpr(xpr), m_functor(func) {}
+
+    EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE
+    Index rows() const { return m_xpr.rows(); }
+    EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE
+    Index cols() const { return m_xpr.cols(); }
+
+    /** \returns the functor representing the unary operation */
+    EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE
+    const UnaryOp& functor() const { return m_functor; }
+
+    /** \returns the nested expression */
+    EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE
+    const typename internal::remove_all<XprTypeNested>::type&
+    nestedExpression() const { return m_xpr; }
+
+    /** \returns the nested expression */
+    EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE
+    typename internal::remove_all<XprTypeNested>::type&
+    nestedExpression() { return m_xpr; }
+
+  protected:
+    XprTypeNested m_xpr;
+    const UnaryOp m_functor;
+};
+
+// Generic API dispatcher
+template<typename UnaryOp, typename XprType, typename StorageKind>
+class CwiseUnaryOpImpl
+  : public internal::generic_xpr_base<CwiseUnaryOp<UnaryOp, XprType> >::type
+{
+public:
+  typedef typename internal::generic_xpr_base<CwiseUnaryOp<UnaryOp, XprType> >::type Base;
+};
+
+} // end namespace Eigen
+
+#endif // EIGEN_CWISE_UNARY_OP_H
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/Stride.h
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/Stride.h	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/Stride.h	(revision 3761)
@@ -0,0 +1,111 @@
+// This file is part of Eigen, a lightweight C++ template library
+// for linear algebra.
+//
+// Copyright (C) 2010 Benoit Jacob <jacob.benoit.1@gmail.com>
+//
+// This Source Code Form is subject to the terms of the Mozilla
+// Public License v. 2.0. If a copy of the MPL was not distributed
+// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
+
+#ifndef EIGEN_STRIDE_H
+#define EIGEN_STRIDE_H
+
+namespace Eigen { 
+
+/** \class Stride
+  * \ingroup Core_Module
+  *
+  * \brief Holds strides information for Map
+  *
+  * This class holds the strides information for mapping arrays with strides with class Map.
+  *
+  * It holds two values: the inner stride and the outer stride.
+  *
+  * The inner stride is the pointer increment between two consecutive entries within a given row of a
+  * row-major matrix or within a given column of a column-major matrix.
+  *
+  * The outer stride is the pointer increment between two consecutive rows of a row-major matrix or
+  * between two consecutive columns of a column-major matrix.
+  *
+  * These two values can be passed either at compile-time as template parameters, or at runtime as
+  * arguments to the constructor.
+  *
+  * Indeed, this class takes two template parameters:
+  *  \tparam _OuterStrideAtCompileTime the outer stride, or Dynamic if you want to specify it at runtime.
+  *  \tparam _InnerStrideAtCompileTime the inner stride, or Dynamic if you want to specify it at runtime.
+  *
+  * Here is an example:
+  * \include Map_general_stride.cpp
+  * Output: \verbinclude Map_general_stride.out
+  *
+  * \sa class InnerStride, class OuterStride, \ref TopicStorageOrders
+  */
+template<int _OuterStrideAtCompileTime, int _InnerStrideAtCompileTime>
+class Stride
+{
+  public:
+    typedef Eigen::Index Index; ///< \deprecated since Eigen 3.3
+    enum {
+      InnerStrideAtCompileTime = _InnerStrideAtCompileTime,
+      OuterStrideAtCompileTime = _OuterStrideAtCompileTime
+    };
+
+    /** Default constructor, for use when strides are fixed at compile time */
+    EIGEN_DEVICE_FUNC
+    Stride()
+      : m_outer(OuterStrideAtCompileTime), m_inner(InnerStrideAtCompileTime)
+    {
+      eigen_assert(InnerStrideAtCompileTime != Dynamic && OuterStrideAtCompileTime != Dynamic);
+    }
+
+    /** Constructor allowing to pass the strides at runtime */
+    EIGEN_DEVICE_FUNC
+    Stride(Index outerStride, Index innerStride)
+      : m_outer(outerStride), m_inner(innerStride)
+    {
+      eigen_assert(innerStride>=0 && outerStride>=0);
+    }
+
+    /** Copy constructor */
+    EIGEN_DEVICE_FUNC
+    Stride(const Stride& other)
+      : m_outer(other.outer()), m_inner(other.inner())
+    {}
+
+    /** \returns the outer stride */
+    EIGEN_DEVICE_FUNC
+    inline Index outer() const { return m_outer.value(); }
+    /** \returns the inner stride */
+    EIGEN_DEVICE_FUNC
+    inline Index inner() const { return m_inner.value(); }
+
+  protected:
+    internal::variable_if_dynamic<Index, OuterStrideAtCompileTime> m_outer;
+    internal::variable_if_dynamic<Index, InnerStrideAtCompileTime> m_inner;
+};
+
+/** \brief Convenience specialization of Stride to specify only an inner stride
+  * See class Map for some examples */
+template<int Value>
+class InnerStride : public Stride<0, Value>
+{
+    typedef Stride<0, Value> Base;
+  public:
+    EIGEN_DEVICE_FUNC InnerStride() : Base() {}
+    EIGEN_DEVICE_FUNC InnerStride(Index v) : Base(0, v) {} // FIXME making this explicit could break valid code
+};
+
+/** \brief Convenience specialization of Stride to specify only an outer stride
+  * See class Map for some examples */
+template<int Value>
+class OuterStride : public Stride<Value, 0>
+{
+    typedef Stride<Value, 0> Base;
+  public:
+    EIGEN_DEVICE_FUNC OuterStride() : Base() {}
+    EIGEN_DEVICE_FUNC OuterStride(Index v) : Base(v,0) {} // FIXME making this explicit could break valid code
+};
+
+} // end namespace Eigen
+
+#endif // EIGEN_STRIDE_H
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/PermutationMatrix.h
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/PermutationMatrix.h	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/PermutationMatrix.h	(revision 3761)
@@ -0,0 +1,605 @@
+// This file is part of Eigen, a lightweight C++ template library
+// for linear algebra.
+//
+// Copyright (C) 2009 Benoit Jacob <jacob.benoit.1@gmail.com>
+// Copyright (C) 2009-2015 Gael Guennebaud <gael.guennebaud@inria.fr>
+//
+// This Source Code Form is subject to the terms of the Mozilla
+// Public License v. 2.0. If a copy of the MPL was not distributed
+// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
+
+#ifndef EIGEN_PERMUTATIONMATRIX_H
+#define EIGEN_PERMUTATIONMATRIX_H
+
+namespace Eigen { 
+
+namespace internal {
+
+enum PermPermProduct_t {PermPermProduct};
+
+} // end namespace internal
+
+/** \class PermutationBase
+  * \ingroup Core_Module
+  *
+  * \brief Base class for permutations
+  *
+  * \tparam Derived the derived class
+  *
+  * This class is the base class for all expressions representing a permutation matrix,
+  * internally stored as a vector of integers.
+  * The convention followed here is that if \f$ \sigma \f$ is a permutation, the corresponding permutation matrix
+  * \f$ P_\sigma \f$ is such that if \f$ (e_1,\ldots,e_p) \f$ is the canonical basis, we have:
+  *  \f[ P_\sigma(e_i) = e_{\sigma(i)}. \f]
+  * This convention ensures that for any two permutations \f$ \sigma, \tau \f$, we have:
+  *  \f[ P_{\sigma\circ\tau} = P_\sigma P_\tau. \f]
+  *
+  * Permutation matrices are square and invertible.
+  *
+  * Notice that in addition to the member functions and operators listed here, there also are non-member
+  * operator* to multiply any kind of permutation object with any kind of matrix expression (MatrixBase)
+  * on either side.
+  *
+  * \sa class PermutationMatrix, class PermutationWrapper
+  */
+template<typename Derived>
+class PermutationBase : public EigenBase<Derived>
+{
+    typedef internal::traits<Derived> Traits;
+    typedef EigenBase<Derived> Base;
+  public:
+
+    #ifndef EIGEN_PARSED_BY_DOXYGEN
+    typedef typename Traits::IndicesType IndicesType;
+    enum {
+      Flags = Traits::Flags,
+      RowsAtCompileTime = Traits::RowsAtCompileTime,
+      ColsAtCompileTime = Traits::ColsAtCompileTime,
+      MaxRowsAtCompileTime = Traits::MaxRowsAtCompileTime,
+      MaxColsAtCompileTime = Traits::MaxColsAtCompileTime
+    };
+    typedef typename Traits::StorageIndex StorageIndex;
+    typedef Matrix<StorageIndex,RowsAtCompileTime,ColsAtCompileTime,0,MaxRowsAtCompileTime,MaxColsAtCompileTime>
+            DenseMatrixType;
+    typedef PermutationMatrix<IndicesType::SizeAtCompileTime,IndicesType::MaxSizeAtCompileTime,StorageIndex>
+            PlainPermutationType;
+    typedef PlainPermutationType PlainObject;
+    using Base::derived;
+    typedef Inverse<Derived> InverseReturnType;
+    typedef void Scalar;
+    #endif
+
+    /** Copies the other permutation into *this */
+    template<typename OtherDerived>
+    Derived& operator=(const PermutationBase<OtherDerived>& other)
+    {
+      indices() = other.indices();
+      return derived();
+    }
+
+    /** Assignment from the Transpositions \a tr */
+    template<typename OtherDerived>
+    Derived& operator=(const TranspositionsBase<OtherDerived>& tr)
+    {
+      setIdentity(tr.size());
+      for(Index k=size()-1; k>=0; --k)
+        applyTranspositionOnTheRight(k,tr.coeff(k));
+      return derived();
+    }
+
+    /** \returns the number of rows */
+    inline Index rows() const { return Index(indices().size()); }
+
+    /** \returns the number of columns */
+    inline Index cols() const { return Index(indices().size()); }
+
+    /** \returns the size of a side of the respective square matrix, i.e., the number of indices */
+    inline Index size() const { return Index(indices().size()); }
+
+    #ifndef EIGEN_PARSED_BY_DOXYGEN
+    template<typename DenseDerived>
+    void evalTo(MatrixBase<DenseDerived>& other) const
+    {
+      other.setZero();
+      for (Index i=0; i<rows(); ++i)
+        other.coeffRef(indices().coeff(i),i) = typename DenseDerived::Scalar(1);
+    }
+    #endif
+
+    /** \returns a Matrix object initialized from this permutation matrix. Notice that it
+      * is inefficient to return this Matrix object by value. For efficiency, favor using
+      * the Matrix constructor taking EigenBase objects.
+      */
+    DenseMatrixType toDenseMatrix() const
+    {
+      return derived();
+    }
+
+    /** const version of indices(). */
+    const IndicesType& indices() const { return derived().indices(); }
+    /** \returns a reference to the stored array representing the permutation. */
+    IndicesType& indices() { return derived().indices(); }
+
+    /** Resizes to given size.
+      */
+    inline void resize(Index newSize)
+    {
+      indices().resize(newSize);
+    }
+
+    /** Sets *this to be the identity permutation matrix */
+    void setIdentity()
+    {
+      StorageIndex n = StorageIndex(size());
+      for(StorageIndex i = 0; i < n; ++i)
+        indices().coeffRef(i) = i;
+    }
+
+    /** Sets *this to be the identity permutation matrix of given size.
+      */
+    void setIdentity(Index newSize)
+    {
+      resize(newSize);
+      setIdentity();
+    }
+
+    /** Multiplies *this by the transposition \f$(ij)\f$ on the left.
+      *
+      * \returns a reference to *this.
+      *
+      * \warning This is much slower than applyTranspositionOnTheRight(Index,Index):
+      * this has linear complexity and requires a lot of branching.
+      *
+      * \sa applyTranspositionOnTheRight(Index,Index)
+      */
+    Derived& applyTranspositionOnTheLeft(Index i, Index j)
+    {
+      eigen_assert(i>=0 && j>=0 && i<size() && j<size());
+      for(Index k = 0; k < size(); ++k)
+      {
+        if(indices().coeff(k) == i) indices().coeffRef(k) = StorageIndex(j);
+        else if(indices().coeff(k) == j) indices().coeffRef(k) = StorageIndex(i);
+      }
+      return derived();
+    }
+
+    /** Multiplies *this by the transposition \f$(ij)\f$ on the right.
+      *
+      * \returns a reference to *this.
+      *
+      * This is a fast operation, it only consists in swapping two indices.
+      *
+      * \sa applyTranspositionOnTheLeft(Index,Index)
+      */
+    Derived& applyTranspositionOnTheRight(Index i, Index j)
+    {
+      eigen_assert(i>=0 && j>=0 && i<size() && j<size());
+      std::swap(indices().coeffRef(i), indices().coeffRef(j));
+      return derived();
+    }
+
+    /** \returns the inverse permutation matrix.
+      *
+      * \note \blank \note_try_to_help_rvo
+      */
+    inline InverseReturnType inverse() const
+    { return InverseReturnType(derived()); }
+    /** \returns the tranpose permutation matrix.
+      *
+      * \note \blank \note_try_to_help_rvo
+      */
+    inline InverseReturnType transpose() const
+    { return InverseReturnType(derived()); }
+
+    /**** multiplication helpers to hopefully get RVO ****/
+
+  
+#ifndef EIGEN_PARSED_BY_DOXYGEN
+  protected:
+    template<typename OtherDerived>
+    void assignTranspose(const PermutationBase<OtherDerived>& other)
+    {
+      for (Index i=0; i<rows();++i) indices().coeffRef(other.indices().coeff(i)) = i;
+    }
+    template<typename Lhs,typename Rhs>
+    void assignProduct(const Lhs& lhs, const Rhs& rhs)
+    {
+      eigen_assert(lhs.cols() == rhs.rows());
+      for (Index i=0; i<rows();++i) indices().coeffRef(i) = lhs.indices().coeff(rhs.indices().coeff(i));
+    }
+#endif
+
+  public:
+
+    /** \returns the product permutation matrix.
+      *
+      * \note \blank \note_try_to_help_rvo
+      */
+    template<typename Other>
+    inline PlainPermutationType operator*(const PermutationBase<Other>& other) const
+    { return PlainPermutationType(internal::PermPermProduct, derived(), other.derived()); }
+
+    /** \returns the product of a permutation with another inverse permutation.
+      *
+      * \note \blank \note_try_to_help_rvo
+      */
+    template<typename Other>
+    inline PlainPermutationType operator*(const InverseImpl<Other,PermutationStorage>& other) const
+    { return PlainPermutationType(internal::PermPermProduct, *this, other.eval()); }
+
+    /** \returns the product of an inverse permutation with another permutation.
+      *
+      * \note \blank \note_try_to_help_rvo
+      */
+    template<typename Other> friend
+    inline PlainPermutationType operator*(const InverseImpl<Other, PermutationStorage>& other, const PermutationBase& perm)
+    { return PlainPermutationType(internal::PermPermProduct, other.eval(), perm); }
+    
+    /** \returns the determinant of the permutation matrix, which is either 1 or -1 depending on the parity of the permutation.
+      *
+      * This function is O(\c n) procedure allocating a buffer of \c n booleans.
+      */
+    Index determinant() const
+    {
+      Index res = 1;
+      Index n = size();
+      Matrix<bool,RowsAtCompileTime,1,0,MaxRowsAtCompileTime> mask(n);
+      mask.fill(false);
+      Index r = 0;
+      while(r < n)
+      {
+        // search for the next seed
+        while(r<n && mask[r]) r++;
+        if(r>=n)
+          break;
+        // we got one, let's follow it until we are back to the seed
+        Index k0 = r++;
+        mask.coeffRef(k0) = true;
+        for(Index k=indices().coeff(k0); k!=k0; k=indices().coeff(k))
+        {
+          mask.coeffRef(k) = true;
+          res = -res;
+        }
+      }
+      return res;
+    }
+
+  protected:
+
+};
+
+namespace internal {
+template<int SizeAtCompileTime, int MaxSizeAtCompileTime, typename _StorageIndex>
+struct traits<PermutationMatrix<SizeAtCompileTime, MaxSizeAtCompileTime, _StorageIndex> >
+ : traits<Matrix<_StorageIndex,SizeAtCompileTime,SizeAtCompileTime,0,MaxSizeAtCompileTime,MaxSizeAtCompileTime> >
+{
+  typedef PermutationStorage StorageKind;
+  typedef Matrix<_StorageIndex, SizeAtCompileTime, 1, 0, MaxSizeAtCompileTime, 1> IndicesType;
+  typedef _StorageIndex StorageIndex;
+  typedef void Scalar;
+};
+}
+
+/** \class PermutationMatrix
+  * \ingroup Core_Module
+  *
+  * \brief Permutation matrix
+  *
+  * \tparam SizeAtCompileTime the number of rows/cols, or Dynamic
+  * \tparam MaxSizeAtCompileTime the maximum number of rows/cols, or Dynamic. This optional parameter defaults to SizeAtCompileTime. Most of the time, you should not have to specify it.
+  * \tparam _StorageIndex the integer type of the indices
+  *
+  * This class represents a permutation matrix, internally stored as a vector of integers.
+  *
+  * \sa class PermutationBase, class PermutationWrapper, class DiagonalMatrix
+  */
+template<int SizeAtCompileTime, int MaxSizeAtCompileTime, typename _StorageIndex>
+class PermutationMatrix : public PermutationBase<PermutationMatrix<SizeAtCompileTime, MaxSizeAtCompileTime, _StorageIndex> >
+{
+    typedef PermutationBase<PermutationMatrix> Base;
+    typedef internal::traits<PermutationMatrix> Traits;
+  public:
+
+    typedef const PermutationMatrix& Nested;
+
+    #ifndef EIGEN_PARSED_BY_DOXYGEN
+    typedef typename Traits::IndicesType IndicesType;
+    typedef typename Traits::StorageIndex StorageIndex;
+    #endif
+
+    inline PermutationMatrix()
+    {}
+
+    /** Constructs an uninitialized permutation matrix of given size.
+      */
+    explicit inline PermutationMatrix(Index size) : m_indices(size)
+    {
+      eigen_internal_assert(size <= NumTraits<StorageIndex>::highest());
+    }
+
+    /** Copy constructor. */
+    template<typename OtherDerived>
+    inline PermutationMatrix(const PermutationBase<OtherDerived>& other)
+      : m_indices(other.indices()) {}
+
+    /** Generic constructor from expression of the indices. The indices
+      * array has the meaning that the permutations sends each integer i to indices[i].
+      *
+      * \warning It is your responsibility to check that the indices array that you passes actually
+      * describes a permutation, i.e., each value between 0 and n-1 occurs exactly once, where n is the
+      * array's size.
+      */
+    template<typename Other>
+    explicit inline PermutationMatrix(const MatrixBase<Other>& indices) : m_indices(indices)
+    {}
+
+    /** Convert the Transpositions \a tr to a permutation matrix */
+    template<typename Other>
+    explicit PermutationMatrix(const TranspositionsBase<Other>& tr)
+      : m_indices(tr.size())
+    {
+      *this = tr;
+    }
+
+    /** Copies the other permutation into *this */
+    template<typename Other>
+    PermutationMatrix& operator=(const PermutationBase<Other>& other)
+    {
+      m_indices = other.indices();
+      return *this;
+    }
+
+    /** Assignment from the Transpositions \a tr */
+    template<typename Other>
+    PermutationMatrix& operator=(const TranspositionsBase<Other>& tr)
+    {
+      return Base::operator=(tr.derived());
+    }
+
+    /** const version of indices(). */
+    const IndicesType& indices() const { return m_indices; }
+    /** \returns a reference to the stored array representing the permutation. */
+    IndicesType& indices() { return m_indices; }
+
+
+    /**** multiplication helpers to hopefully get RVO ****/
+
+#ifndef EIGEN_PARSED_BY_DOXYGEN
+    template<typename Other>
+    PermutationMatrix(const InverseImpl<Other,PermutationStorage>& other)
+      : m_indices(other.derived().nestedExpression().size())
+    {
+      eigen_internal_assert(m_indices.size() <= NumTraits<StorageIndex>::highest());
+      StorageIndex end = StorageIndex(m_indices.size());
+      for (StorageIndex i=0; i<end;++i)
+        m_indices.coeffRef(other.derived().nestedExpression().indices().coeff(i)) = i;
+    }
+    template<typename Lhs,typename Rhs>
+    PermutationMatrix(internal::PermPermProduct_t, const Lhs& lhs, const Rhs& rhs)
+      : m_indices(lhs.indices().size())
+    {
+      Base::assignProduct(lhs,rhs);
+    }
+#endif
+
+  protected:
+
+    IndicesType m_indices;
+};
+
+
+namespace internal {
+template<int SizeAtCompileTime, int MaxSizeAtCompileTime, typename _StorageIndex, int _PacketAccess>
+struct traits<Map<PermutationMatrix<SizeAtCompileTime, MaxSizeAtCompileTime, _StorageIndex>,_PacketAccess> >
+ : traits<Matrix<_StorageIndex,SizeAtCompileTime,SizeAtCompileTime,0,MaxSizeAtCompileTime,MaxSizeAtCompileTime> >
+{
+  typedef PermutationStorage StorageKind;
+  typedef Map<const Matrix<_StorageIndex, SizeAtCompileTime, 1, 0, MaxSizeAtCompileTime, 1>, _PacketAccess> IndicesType;
+  typedef _StorageIndex StorageIndex;
+  typedef void Scalar;
+};
+}
+
+template<int SizeAtCompileTime, int MaxSizeAtCompileTime, typename _StorageIndex, int _PacketAccess>
+class Map<PermutationMatrix<SizeAtCompileTime, MaxSizeAtCompileTime, _StorageIndex>,_PacketAccess>
+  : public PermutationBase<Map<PermutationMatrix<SizeAtCompileTime, MaxSizeAtCompileTime, _StorageIndex>,_PacketAccess> >
+{
+    typedef PermutationBase<Map> Base;
+    typedef internal::traits<Map> Traits;
+  public:
+
+    #ifndef EIGEN_PARSED_BY_DOXYGEN
+    typedef typename Traits::IndicesType IndicesType;
+    typedef typename IndicesType::Scalar StorageIndex;
+    #endif
+
+    inline Map(const StorageIndex* indicesPtr)
+      : m_indices(indicesPtr)
+    {}
+
+    inline Map(const StorageIndex* indicesPtr, Index size)
+      : m_indices(indicesPtr,size)
+    {}
+
+    /** Copies the other permutation into *this */
+    template<typename Other>
+    Map& operator=(const PermutationBase<Other>& other)
+    { return Base::operator=(other.derived()); }
+
+    /** Assignment from the Transpositions \a tr */
+    template<typename Other>
+    Map& operator=(const TranspositionsBase<Other>& tr)
+    { return Base::operator=(tr.derived()); }
+
+    #ifndef EIGEN_PARSED_BY_DOXYGEN
+    /** This is a special case of the templated operator=. Its purpose is to
+      * prevent a default operator= from hiding the templated operator=.
+      */
+    Map& operator=(const Map& other)
+    {
+      m_indices = other.m_indices;
+      return *this;
+    }
+    #endif
+
+    /** const version of indices(). */
+    const IndicesType& indices() const { return m_indices; }
+    /** \returns a reference to the stored array representing the permutation. */
+    IndicesType& indices() { return m_indices; }
+
+  protected:
+
+    IndicesType m_indices;
+};
+
+template<typename _IndicesType> class TranspositionsWrapper;
+namespace internal {
+template<typename _IndicesType>
+struct traits<PermutationWrapper<_IndicesType> >
+{
+  typedef PermutationStorage StorageKind;
+  typedef void Scalar;
+  typedef typename _IndicesType::Scalar StorageIndex;
+  typedef _IndicesType IndicesType;
+  enum {
+    RowsAtCompileTime = _IndicesType::SizeAtCompileTime,
+    ColsAtCompileTime = _IndicesType::SizeAtCompileTime,
+    MaxRowsAtCompileTime = IndicesType::MaxSizeAtCompileTime,
+    MaxColsAtCompileTime = IndicesType::MaxSizeAtCompileTime,
+    Flags = 0
+  };
+};
+}
+
+/** \class PermutationWrapper
+  * \ingroup Core_Module
+  *
+  * \brief Class to view a vector of integers as a permutation matrix
+  *
+  * \tparam _IndicesType the type of the vector of integer (can be any compatible expression)
+  *
+  * This class allows to view any vector expression of integers as a permutation matrix.
+  *
+  * \sa class PermutationBase, class PermutationMatrix
+  */
+template<typename _IndicesType>
+class PermutationWrapper : public PermutationBase<PermutationWrapper<_IndicesType> >
+{
+    typedef PermutationBase<PermutationWrapper> Base;
+    typedef internal::traits<PermutationWrapper> Traits;
+  public:
+
+    #ifndef EIGEN_PARSED_BY_DOXYGEN
+    typedef typename Traits::IndicesType IndicesType;
+    #endif
+
+    inline PermutationWrapper(const IndicesType& indices)
+      : m_indices(indices)
+    {}
+
+    /** const version of indices(). */
+    const typename internal::remove_all<typename IndicesType::Nested>::type&
+    indices() const { return m_indices; }
+
+  protected:
+
+    typename IndicesType::Nested m_indices;
+};
+
+
+/** \returns the matrix with the permutation applied to the columns.
+  */
+template<typename MatrixDerived, typename PermutationDerived>
+EIGEN_DEVICE_FUNC
+const Product<MatrixDerived, PermutationDerived, AliasFreeProduct>
+operator*(const MatrixBase<MatrixDerived> &matrix,
+          const PermutationBase<PermutationDerived>& permutation)
+{
+  return Product<MatrixDerived, PermutationDerived, AliasFreeProduct>
+            (matrix.derived(), permutation.derived());
+}
+
+/** \returns the matrix with the permutation applied to the rows.
+  */
+template<typename PermutationDerived, typename MatrixDerived>
+EIGEN_DEVICE_FUNC
+const Product<PermutationDerived, MatrixDerived, AliasFreeProduct>
+operator*(const PermutationBase<PermutationDerived> &permutation,
+          const MatrixBase<MatrixDerived>& matrix)
+{
+  return Product<PermutationDerived, MatrixDerived, AliasFreeProduct>
+            (permutation.derived(), matrix.derived());
+}
+
+
+template<typename PermutationType>
+class InverseImpl<PermutationType, PermutationStorage>
+  : public EigenBase<Inverse<PermutationType> >
+{
+    typedef typename PermutationType::PlainPermutationType PlainPermutationType;
+    typedef internal::traits<PermutationType> PermTraits;
+  protected:
+    InverseImpl() {}
+  public:
+    typedef Inverse<PermutationType> InverseType;
+    using EigenBase<Inverse<PermutationType> >::derived;
+
+    #ifndef EIGEN_PARSED_BY_DOXYGEN
+    typedef typename PermutationType::DenseMatrixType DenseMatrixType;
+    enum {
+      RowsAtCompileTime = PermTraits::RowsAtCompileTime,
+      ColsAtCompileTime = PermTraits::ColsAtCompileTime,
+      MaxRowsAtCompileTime = PermTraits::MaxRowsAtCompileTime,
+      MaxColsAtCompileTime = PermTraits::MaxColsAtCompileTime
+    };
+    #endif
+
+    #ifndef EIGEN_PARSED_BY_DOXYGEN
+    template<typename DenseDerived>
+    void evalTo(MatrixBase<DenseDerived>& other) const
+    {
+      other.setZero();
+      for (Index i=0; i<derived().rows();++i)
+        other.coeffRef(i, derived().nestedExpression().indices().coeff(i)) = typename DenseDerived::Scalar(1);
+    }
+    #endif
+
+    /** \return the equivalent permutation matrix */
+    PlainPermutationType eval() const { return derived(); }
+
+    DenseMatrixType toDenseMatrix() const { return derived(); }
+
+    /** \returns the matrix with the inverse permutation applied to the columns.
+      */
+    template<typename OtherDerived> friend
+    const Product<OtherDerived, InverseType, AliasFreeProduct>
+    operator*(const MatrixBase<OtherDerived>& matrix, const InverseType& trPerm)
+    {
+      return Product<OtherDerived, InverseType, AliasFreeProduct>(matrix.derived(), trPerm.derived());
+    }
+
+    /** \returns the matrix with the inverse permutation applied to the rows.
+      */
+    template<typename OtherDerived>
+    const Product<InverseType, OtherDerived, AliasFreeProduct>
+    operator*(const MatrixBase<OtherDerived>& matrix) const
+    {
+      return Product<InverseType, OtherDerived, AliasFreeProduct>(derived(), matrix.derived());
+    }
+};
+
+template<typename Derived>
+const PermutationWrapper<const Derived> MatrixBase<Derived>::asPermutation() const
+{
+  return derived();
+}
+
+namespace internal {
+
+template<> struct AssignmentKind<DenseShape,PermutationShape> { typedef EigenBase2EigenBase Kind; };
+
+} // end namespace internal
+
+} // end namespace Eigen
+
+#endif // EIGEN_PERMUTATIONMATRIX_H
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/Transpositions.h
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/Transpositions.h	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/Transpositions.h	(revision 3761)
@@ -0,0 +1,368 @@
+// This file is part of Eigen, a lightweight C++ template library
+// for linear algebra.
+//
+// Copyright (C) 2010-2011 Gael Guennebaud <gael.guennebaud@inria.fr>
+//
+// This Source Code Form is subject to the terms of the Mozilla
+// Public License v. 2.0. If a copy of the MPL was not distributed
+// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
+
+#ifndef EIGEN_TRANSPOSITIONS_H
+#define EIGEN_TRANSPOSITIONS_H
+
+namespace Eigen { 
+
+template<typename Derived>
+class TranspositionsBase
+{
+    typedef internal::traits<Derived> Traits;
+    
+  public:
+
+    typedef typename Traits::IndicesType IndicesType;
+    typedef typename IndicesType::Scalar StorageIndex;
+    typedef Eigen::Index Index; ///< \deprecated since Eigen 3.3
+
+    Derived& derived() { return *static_cast<Derived*>(this); }
+    const Derived& derived() const { return *static_cast<const Derived*>(this); }
+
+    /** Copies the \a other transpositions into \c *this */
+    template<typename OtherDerived>
+    Derived& operator=(const TranspositionsBase<OtherDerived>& other)
+    {
+      indices() = other.indices();
+      return derived();
+    }
+
+    /** \returns the number of transpositions */
+    Index size() const { return indices().size(); }
+    /** \returns the number of rows of the equivalent permutation matrix */
+    Index rows() const { return indices().size(); }
+    /** \returns the number of columns of the equivalent permutation matrix */
+    Index cols() const { return indices().size(); }
+
+    /** Direct access to the underlying index vector */
+    inline const StorageIndex& coeff(Index i) const { return indices().coeff(i); }
+    /** Direct access to the underlying index vector */
+    inline StorageIndex& coeffRef(Index i) { return indices().coeffRef(i); }
+    /** Direct access to the underlying index vector */
+    inline const StorageIndex& operator()(Index i) const { return indices()(i); }
+    /** Direct access to the underlying index vector */
+    inline StorageIndex& operator()(Index i) { return indices()(i); }
+    /** Direct access to the underlying index vector */
+    inline const StorageIndex& operator[](Index i) const { return indices()(i); }
+    /** Direct access to the underlying index vector */
+    inline StorageIndex& operator[](Index i) { return indices()(i); }
+
+    /** const version of indices(). */
+    const IndicesType& indices() const { return derived().indices(); }
+    /** \returns a reference to the stored array representing the transpositions. */
+    IndicesType& indices() { return derived().indices(); }
+
+    /** Resizes to given size. */
+    inline void resize(Index newSize)
+    {
+      indices().resize(newSize);
+    }
+
+    /** Sets \c *this to represents an identity transformation */
+    void setIdentity()
+    {
+      for(StorageIndex i = 0; i < indices().size(); ++i)
+        coeffRef(i) = i;
+    }
+
+    // FIXME: do we want such methods ?
+    // might be usefull when the target matrix expression is complex, e.g.:
+    // object.matrix().block(..,..,..,..) = trans * object.matrix().block(..,..,..,..);
+    /*
+    template<typename MatrixType>
+    void applyForwardToRows(MatrixType& mat) const
+    {
+      for(Index k=0 ; k<size() ; ++k)
+        if(m_indices(k)!=k)
+          mat.row(k).swap(mat.row(m_indices(k)));
+    }
+
+    template<typename MatrixType>
+    void applyBackwardToRows(MatrixType& mat) const
+    {
+      for(Index k=size()-1 ; k>=0 ; --k)
+        if(m_indices(k)!=k)
+          mat.row(k).swap(mat.row(m_indices(k)));
+    }
+    */
+
+    /** \returns the inverse transformation */
+    inline Transpose<TranspositionsBase> inverse() const
+    { return Transpose<TranspositionsBase>(derived()); }
+
+    /** \returns the tranpose transformation */
+    inline Transpose<TranspositionsBase> transpose() const
+    { return Transpose<TranspositionsBase>(derived()); }
+
+  protected:
+};
+
+namespace internal {
+template<int SizeAtCompileTime, int MaxSizeAtCompileTime, typename _StorageIndex>
+struct traits<Transpositions<SizeAtCompileTime,MaxSizeAtCompileTime,_StorageIndex> >
+ : traits<PermutationMatrix<SizeAtCompileTime,MaxSizeAtCompileTime,_StorageIndex> >
+{
+  typedef Matrix<_StorageIndex, SizeAtCompileTime, 1, 0, MaxSizeAtCompileTime, 1> IndicesType;
+  typedef TranspositionsStorage StorageKind;
+};
+}
+
+/** \class Transpositions
+  * \ingroup Core_Module
+  *
+  * \brief Represents a sequence of transpositions (row/column interchange)
+  *
+  * \tparam SizeAtCompileTime the number of transpositions, or Dynamic
+  * \tparam MaxSizeAtCompileTime the maximum number of transpositions, or Dynamic. This optional parameter defaults to SizeAtCompileTime. Most of the time, you should not have to specify it.
+  *
+  * This class represents a permutation transformation as a sequence of \em n transpositions
+  * \f$[T_{n-1} \ldots T_{i} \ldots T_{0}]\f$. It is internally stored as a vector of integers \c indices.
+  * Each transposition \f$ T_{i} \f$ applied on the left of a matrix (\f$ T_{i} M\f$) interchanges
+  * the rows \c i and \c indices[i] of the matrix \c M.
+  * A transposition applied on the right (e.g., \f$ M T_{i}\f$) yields a column interchange.
+  *
+  * Compared to the class PermutationMatrix, such a sequence of transpositions is what is
+  * computed during a decomposition with pivoting, and it is faster when applying the permutation in-place.
+  *
+  * To apply a sequence of transpositions to a matrix, simply use the operator * as in the following example:
+  * \code
+  * Transpositions tr;
+  * MatrixXf mat;
+  * mat = tr * mat;
+  * \endcode
+  * In this example, we detect that the matrix appears on both side, and so the transpositions
+  * are applied in-place without any temporary or extra copy.
+  *
+  * \sa class PermutationMatrix
+  */
+
+template<int SizeAtCompileTime, int MaxSizeAtCompileTime, typename _StorageIndex>
+class Transpositions : public TranspositionsBase<Transpositions<SizeAtCompileTime,MaxSizeAtCompileTime,_StorageIndex> >
+{
+    typedef internal::traits<Transpositions> Traits;
+  public:
+
+    typedef TranspositionsBase<Transpositions> Base;
+    typedef typename Traits::IndicesType IndicesType;
+    typedef typename IndicesType::Scalar StorageIndex;
+
+    inline Transpositions() {}
+
+    /** Copy constructor. */
+    template<typename OtherDerived>
+    inline Transpositions(const TranspositionsBase<OtherDerived>& other)
+      : m_indices(other.indices()) {}
+
+    /** Generic constructor from expression of the transposition indices. */
+    template<typename Other>
+    explicit inline Transpositions(const MatrixBase<Other>& indices) : m_indices(indices)
+    {}
+
+    /** Copies the \a other transpositions into \c *this */
+    template<typename OtherDerived>
+    Transpositions& operator=(const TranspositionsBase<OtherDerived>& other)
+    {
+      return Base::operator=(other);
+    }
+
+    /** Constructs an uninitialized permutation matrix of given size.
+      */
+    inline Transpositions(Index size) : m_indices(size)
+    {}
+
+    /** const version of indices(). */
+    const IndicesType& indices() const { return m_indices; }
+    /** \returns a reference to the stored array representing the transpositions. */
+    IndicesType& indices() { return m_indices; }
+
+  protected:
+
+    IndicesType m_indices;
+};
+
+
+namespace internal {
+template<int SizeAtCompileTime, int MaxSizeAtCompileTime, typename _StorageIndex, int _PacketAccess>
+struct traits<Map<Transpositions<SizeAtCompileTime,MaxSizeAtCompileTime,_StorageIndex>,_PacketAccess> >
+ : traits<PermutationMatrix<SizeAtCompileTime,MaxSizeAtCompileTime,_StorageIndex> >
+{
+  typedef Map<const Matrix<_StorageIndex,SizeAtCompileTime,1,0,MaxSizeAtCompileTime,1>, _PacketAccess> IndicesType;
+  typedef _StorageIndex StorageIndex;
+  typedef TranspositionsStorage StorageKind;
+};
+}
+
+template<int SizeAtCompileTime, int MaxSizeAtCompileTime, typename _StorageIndex, int PacketAccess>
+class Map<Transpositions<SizeAtCompileTime,MaxSizeAtCompileTime,_StorageIndex>,PacketAccess>
+ : public TranspositionsBase<Map<Transpositions<SizeAtCompileTime,MaxSizeAtCompileTime,_StorageIndex>,PacketAccess> >
+{
+    typedef internal::traits<Map> Traits;
+  public:
+
+    typedef TranspositionsBase<Map> Base;
+    typedef typename Traits::IndicesType IndicesType;
+    typedef typename IndicesType::Scalar StorageIndex;
+
+    explicit inline Map(const StorageIndex* indicesPtr)
+      : m_indices(indicesPtr)
+    {}
+
+    inline Map(const StorageIndex* indicesPtr, Index size)
+      : m_indices(indicesPtr,size)
+    {}
+
+    /** Copies the \a other transpositions into \c *this */
+    template<typename OtherDerived>
+    Map& operator=(const TranspositionsBase<OtherDerived>& other)
+    {
+      return Base::operator=(other);
+    }
+
+    #ifndef EIGEN_PARSED_BY_DOXYGEN
+    /** This is a special case of the templated operator=. Its purpose is to
+      * prevent a default operator= from hiding the templated operator=.
+      */
+    Map& operator=(const Map& other)
+    {
+      m_indices = other.m_indices;
+      return *this;
+    }
+    #endif
+
+    /** const version of indices(). */
+    const IndicesType& indices() const { return m_indices; }
+    
+    /** \returns a reference to the stored array representing the transpositions. */
+    IndicesType& indices() { return m_indices; }
+
+  protected:
+
+    IndicesType m_indices;
+};
+
+namespace internal {
+template<typename _IndicesType>
+struct traits<TranspositionsWrapper<_IndicesType> >
+ : traits<PermutationWrapper<_IndicesType> >
+{
+  typedef TranspositionsStorage StorageKind;
+};
+}
+
+template<typename _IndicesType>
+class TranspositionsWrapper
+ : public TranspositionsBase<TranspositionsWrapper<_IndicesType> >
+{
+    typedef internal::traits<TranspositionsWrapper> Traits;
+  public:
+
+    typedef TranspositionsBase<TranspositionsWrapper> Base;
+    typedef typename Traits::IndicesType IndicesType;
+    typedef typename IndicesType::Scalar StorageIndex;
+
+    explicit inline TranspositionsWrapper(IndicesType& indices)
+      : m_indices(indices)
+    {}
+
+    /** Copies the \a other transpositions into \c *this */
+    template<typename OtherDerived>
+    TranspositionsWrapper& operator=(const TranspositionsBase<OtherDerived>& other)
+    {
+      return Base::operator=(other);
+    }
+
+    /** const version of indices(). */
+    const IndicesType& indices() const { return m_indices; }
+
+    /** \returns a reference to the stored array representing the transpositions. */
+    IndicesType& indices() { return m_indices; }
+
+  protected:
+
+    typename IndicesType::Nested m_indices;
+};
+
+
+
+/** \returns the \a matrix with the \a transpositions applied to the columns.
+  */
+template<typename MatrixDerived, typename TranspositionsDerived>
+EIGEN_DEVICE_FUNC
+const Product<MatrixDerived, TranspositionsDerived, AliasFreeProduct>
+operator*(const MatrixBase<MatrixDerived> &matrix,
+          const TranspositionsBase<TranspositionsDerived>& transpositions)
+{
+  return Product<MatrixDerived, TranspositionsDerived, AliasFreeProduct>
+            (matrix.derived(), transpositions.derived());
+}
+
+/** \returns the \a matrix with the \a transpositions applied to the rows.
+  */
+template<typename TranspositionsDerived, typename MatrixDerived>
+EIGEN_DEVICE_FUNC
+const Product<TranspositionsDerived, MatrixDerived, AliasFreeProduct>
+operator*(const TranspositionsBase<TranspositionsDerived> &transpositions,
+          const MatrixBase<MatrixDerived>& matrix)
+{
+  return Product<TranspositionsDerived, MatrixDerived, AliasFreeProduct>
+            (transpositions.derived(), matrix.derived());
+}
+
+// Template partial specialization for transposed/inverse transpositions
+
+namespace internal {
+
+template<typename Derived>
+struct traits<Transpose<TranspositionsBase<Derived> > >
+ : traits<Derived>
+{};
+
+} // end namespace internal
+
+template<typename TranspositionsDerived>
+class Transpose<TranspositionsBase<TranspositionsDerived> >
+{
+    typedef TranspositionsDerived TranspositionType;
+    typedef typename TranspositionType::IndicesType IndicesType;
+  public:
+
+    explicit Transpose(const TranspositionType& t) : m_transpositions(t) {}
+
+    Index size() const { return m_transpositions.size(); }
+    Index rows() const { return m_transpositions.size(); }
+    Index cols() const { return m_transpositions.size(); }
+
+    /** \returns the \a matrix with the inverse transpositions applied to the columns.
+      */
+    template<typename OtherDerived> friend
+    const Product<OtherDerived, Transpose, AliasFreeProduct>
+    operator*(const MatrixBase<OtherDerived>& matrix, const Transpose& trt)
+    {
+      return Product<OtherDerived, Transpose, AliasFreeProduct>(matrix.derived(), trt);
+    }
+
+    /** \returns the \a matrix with the inverse transpositions applied to the rows.
+      */
+    template<typename OtherDerived>
+    const Product<Transpose, OtherDerived, AliasFreeProduct>
+    operator*(const MatrixBase<OtherDerived>& matrix) const
+    {
+      return Product<Transpose, OtherDerived, AliasFreeProduct>(*this, matrix.derived());
+    }
+    
+    const TranspositionType& nestedExpression() const { return m_transpositions; }
+
+  protected:
+    const TranspositionType& m_transpositions;
+};
+
+} // end namespace Eigen
+
+#endif // EIGEN_TRANSPOSITIONS_H
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h	(revision 3761)
@@ -0,0 +1,530 @@
+// This file is part of Eigen, a lightweight C++ template library
+// for linear algebra.
+//
+// Copyright (C) 2006-2009 Benoit Jacob <jacob.benoit.1@gmail.com>
+// Copyright (C) 2008 Gael Guennebaud <gael.guennebaud@inria.fr>
+//
+// This Source Code Form is subject to the terms of the Mozilla
+// Public License v. 2.0. If a copy of the MPL was not distributed
+// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
+
+#ifndef EIGEN_MATRIXBASE_H
+#define EIGEN_MATRIXBASE_H
+
+namespace Eigen {
+
+/** \class MatrixBase
+  * \ingroup Core_Module
+  *
+  * \brief Base class for all dense matrices, vectors, and expressions
+  *
+  * This class is the base that is inherited by all matrix, vector, and related expression
+  * types. Most of the Eigen API is contained in this class, and its base classes. Other important
+  * classes for the Eigen API are Matrix, and VectorwiseOp.
+  *
+  * Note that some methods are defined in other modules such as the \ref LU_Module LU module
+  * for all functions related to matrix inversions.
+  *
+  * \tparam Derived is the derived type, e.g. a matrix type, or an expression, etc.
+  *
+  * When writing a function taking Eigen objects as argument, if you want your function
+  * to take as argument any matrix, vector, or expression, just let it take a
+  * MatrixBase argument. As an example, here is a function printFirstRow which, given
+  * a matrix, vector, or expression \a x, prints the first row of \a x.
+  *
+  * \code
+    template<typename Derived>
+    void printFirstRow(const Eigen::MatrixBase<Derived>& x)
+    {
+      cout << x.row(0) << endl;
+    }
+  * \endcode
+  *
+  * This class can be extended with the help of the plugin mechanism described on the page
+  * \ref TopicCustomizing_Plugins by defining the preprocessor symbol \c EIGEN_MATRIXBASE_PLUGIN.
+  *
+  * \sa \blank \ref TopicClassHierarchy
+  */
+template<typename Derived> class MatrixBase
+  : public DenseBase<Derived>
+{
+  public:
+#ifndef EIGEN_PARSED_BY_DOXYGEN
+    typedef MatrixBase StorageBaseType;
+    typedef typename internal::traits<Derived>::StorageKind StorageKind;
+    typedef typename internal::traits<Derived>::StorageIndex StorageIndex;
+    typedef typename internal::traits<Derived>::Scalar Scalar;
+    typedef typename internal::packet_traits<Scalar>::type PacketScalar;
+    typedef typename NumTraits<Scalar>::Real RealScalar;
+
+    typedef DenseBase<Derived> Base;
+    using Base::RowsAtCompileTime;
+    using Base::ColsAtCompileTime;
+    using Base::SizeAtCompileTime;
+    using Base::MaxRowsAtCompileTime;
+    using Base::MaxColsAtCompileTime;
+    using Base::MaxSizeAtCompileTime;
+    using Base::IsVectorAtCompileTime;
+    using Base::Flags;
+
+    using Base::derived;
+    using Base::const_cast_derived;
+    using Base::rows;
+    using Base::cols;
+    using Base::size;
+    using Base::coeff;
+    using Base::coeffRef;
+    using Base::lazyAssign;
+    using Base::eval;
+    using Base::operator+=;
+    using Base::operator-=;
+    using Base::operator*=;
+    using Base::operator/=;
+
+    typedef typename Base::CoeffReturnType CoeffReturnType;
+    typedef typename Base::ConstTransposeReturnType ConstTransposeReturnType;
+    typedef typename Base::RowXpr RowXpr;
+    typedef typename Base::ColXpr ColXpr;
+#endif // not EIGEN_PARSED_BY_DOXYGEN
+
+
+
+#ifndef EIGEN_PARSED_BY_DOXYGEN
+    /** type of the equivalent square matrix */
+    typedef Matrix<Scalar,EIGEN_SIZE_MAX(RowsAtCompileTime,ColsAtCompileTime),
+                          EIGEN_SIZE_MAX(RowsAtCompileTime,ColsAtCompileTime)> SquareMatrixType;
+#endif // not EIGEN_PARSED_BY_DOXYGEN
+
+    /** \returns the size of the main diagonal, which is min(rows(),cols()).
+      * \sa rows(), cols(), SizeAtCompileTime. */
+    EIGEN_DEVICE_FUNC
+    inline Index diagonalSize() const { return (numext::mini)(rows(),cols()); }
+
+    typedef typename Base::PlainObject PlainObject;
+
+#ifndef EIGEN_PARSED_BY_DOXYGEN
+    /** \internal Represents a matrix with all coefficients equal to one another*/
+    typedef CwiseNullaryOp<internal::scalar_constant_op<Scalar>,PlainObject> ConstantReturnType;
+    /** \internal the return type of MatrixBase::adjoint() */
+    typedef typename internal::conditional<NumTraits<Scalar>::IsComplex,
+                        CwiseUnaryOp<internal::scalar_conjugate_op<Scalar>, ConstTransposeReturnType>,
+                        ConstTransposeReturnType
+                     >::type AdjointReturnType;
+    /** \internal Return type of eigenvalues() */
+    typedef Matrix<std::complex<RealScalar>, internal::traits<Derived>::ColsAtCompileTime, 1, ColMajor> EigenvaluesReturnType;
+    /** \internal the return type of identity */
+    typedef CwiseNullaryOp<internal::scalar_identity_op<Scalar>,PlainObject> IdentityReturnType;
+    /** \internal the return type of unit vectors */
+    typedef Block<const CwiseNullaryOp<internal::scalar_identity_op<Scalar>, SquareMatrixType>,
+                  internal::traits<Derived>::RowsAtCompileTime,
+                  internal::traits<Derived>::ColsAtCompileTime> BasisReturnType;
+#endif // not EIGEN_PARSED_BY_DOXYGEN
+
+#define EIGEN_CURRENT_STORAGE_BASE_CLASS Eigen::MatrixBase
+#define EIGEN_DOC_UNARY_ADDONS(X,Y)
+#   include "../plugins/CommonCwiseUnaryOps.h"
+#   include "../plugins/CommonCwiseBinaryOps.h"
+#   include "../plugins/MatrixCwiseUnaryOps.h"
+#   include "../plugins/MatrixCwiseBinaryOps.h"
+#   ifdef EIGEN_MATRIXBASE_PLUGIN
+#     include EIGEN_MATRIXBASE_PLUGIN
+#   endif
+#undef EIGEN_CURRENT_STORAGE_BASE_CLASS
+#undef EIGEN_DOC_UNARY_ADDONS
+
+    /** Special case of the template operator=, in order to prevent the compiler
+      * from generating a default operator= (issue hit with g++ 4.1)
+      */
+    EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE
+    Derived& operator=(const MatrixBase& other);
+
+    // We cannot inherit here via Base::operator= since it is causing
+    // trouble with MSVC.
+
+    template <typename OtherDerived>
+    EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE
+    Derived& operator=(const DenseBase<OtherDerived>& other);
+
+    template <typename OtherDerived>
+    EIGEN_DEVICE_FUNC
+    Derived& operator=(const EigenBase<OtherDerived>& other);
+
+    template<typename OtherDerived>
+    EIGEN_DEVICE_FUNC
+    Derived& operator=(const ReturnByValue<OtherDerived>& other);
+
+    template<typename OtherDerived>
+    EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE
+    Derived& operator+=(const MatrixBase<OtherDerived>& other);
+    template<typename OtherDerived>
+    EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE
+    Derived& operator-=(const MatrixBase<OtherDerived>& other);
+
+    template<typename OtherDerived>
+    EIGEN_DEVICE_FUNC
+    const Product<Derived,OtherDerived>
+    operator*(const MatrixBase<OtherDerived> &other) const;
+
+    template<typename OtherDerived>
+    EIGEN_DEVICE_FUNC
+    const Product<Derived,OtherDerived,LazyProduct>
+    lazyProduct(const MatrixBase<OtherDerived> &other) const;
+
+    template<typename OtherDerived>
+    Derived& operator*=(const EigenBase<OtherDerived>& other);
+
+    template<typename OtherDerived>
+    void applyOnTheLeft(const EigenBase<OtherDerived>& other);
+
+    template<typename OtherDerived>
+    void applyOnTheRight(const EigenBase<OtherDerived>& other);
+
+    template<typename DiagonalDerived>
+    EIGEN_DEVICE_FUNC
+    const Product<Derived, DiagonalDerived, LazyProduct>
+    operator*(const DiagonalBase<DiagonalDerived> &diagonal) const;
+
+    template<typename OtherDerived>
+    EIGEN_DEVICE_FUNC
+    typename ScalarBinaryOpTraits<typename internal::traits<Derived>::Scalar,typename internal::traits<OtherDerived>::Scalar>::ReturnType
+    dot(const MatrixBase<OtherDerived>& other) const;
+
+    EIGEN_DEVICE_FUNC RealScalar squaredNorm() const;
+    EIGEN_DEVICE_FUNC RealScalar norm() const;
+    RealScalar stableNorm() const;
+    RealScalar blueNorm() const;
+    RealScalar hypotNorm() const;
+    EIGEN_DEVICE_FUNC const PlainObject normalized() const;
+    EIGEN_DEVICE_FUNC const PlainObject stableNormalized() const;
+    EIGEN_DEVICE_FUNC void normalize();
+    EIGEN_DEVICE_FUNC void stableNormalize();
+
+    EIGEN_DEVICE_FUNC const AdjointReturnType adjoint() const;
+    EIGEN_DEVICE_FUNC void adjointInPlace();
+
+    typedef Diagonal<Derived> DiagonalReturnType;
+    EIGEN_DEVICE_FUNC
+    DiagonalReturnType diagonal();
+
+    typedef typename internal::add_const<Diagonal<const Derived> >::type ConstDiagonalReturnType;
+    EIGEN_DEVICE_FUNC
+    ConstDiagonalReturnType diagonal() const;
+
+    template<int Index> struct DiagonalIndexReturnType { typedef Diagonal<Derived,Index> Type; };
+    template<int Index> struct ConstDiagonalIndexReturnType { typedef const Diagonal<const Derived,Index> Type; };
+
+    template<int Index>
+    EIGEN_DEVICE_FUNC
+    typename DiagonalIndexReturnType<Index>::Type diagonal();
+
+    template<int Index>
+    EIGEN_DEVICE_FUNC
+    typename ConstDiagonalIndexReturnType<Index>::Type diagonal() const;
+
+    typedef Diagonal<Derived,DynamicIndex> DiagonalDynamicIndexReturnType;
+    typedef typename internal::add_const<Diagonal<const Derived,DynamicIndex> >::type ConstDiagonalDynamicIndexReturnType;
+
+    EIGEN_DEVICE_FUNC
+    DiagonalDynamicIndexReturnType diagonal(Index index);
+    EIGEN_DEVICE_FUNC
+    ConstDiagonalDynamicIndexReturnType diagonal(Index index) const;
+
+    template<unsigned int Mode> struct TriangularViewReturnType { typedef TriangularView<Derived, Mode> Type; };
+    template<unsigned int Mode> struct ConstTriangularViewReturnType { typedef const TriangularView<const Derived, Mode> Type; };
+
+    template<unsigned int Mode>
+    EIGEN_DEVICE_FUNC
+    typename TriangularViewReturnType<Mode>::Type triangularView();
+    template<unsigned int Mode>
+    EIGEN_DEVICE_FUNC
+    typename ConstTriangularViewReturnType<Mode>::Type triangularView() const;
+
+    template<unsigned int UpLo> struct SelfAdjointViewReturnType { typedef SelfAdjointView<Derived, UpLo> Type; };
+    template<unsigned int UpLo> struct ConstSelfAdjointViewReturnType { typedef const SelfAdjointView<const Derived, UpLo> Type; };
+
+    template<unsigned int UpLo>
+    EIGEN_DEVICE_FUNC
+    typename SelfAdjointViewReturnType<UpLo>::Type selfadjointView();
+    template<unsigned int UpLo>
+    EIGEN_DEVICE_FUNC
+    typename ConstSelfAdjointViewReturnType<UpLo>::Type selfadjointView() const;
+
+    const SparseView<Derived> sparseView(const Scalar& m_reference = Scalar(0),
+                                         const typename NumTraits<Scalar>::Real& m_epsilon = NumTraits<Scalar>::dummy_precision()) const;
+    EIGEN_DEVICE_FUNC static const IdentityReturnType Identity();
+    EIGEN_DEVICE_FUNC static const IdentityReturnType Identity(Index rows, Index cols);
+    EIGEN_DEVICE_FUNC static const BasisReturnType Unit(Index size, Index i);
+    EIGEN_DEVICE_FUNC static const BasisReturnType Unit(Index i);
+    EIGEN_DEVICE_FUNC static const BasisReturnType UnitX();
+    EIGEN_DEVICE_FUNC static const BasisReturnType UnitY();
+    EIGEN_DEVICE_FUNC static const BasisReturnType UnitZ();
+    EIGEN_DEVICE_FUNC static const BasisReturnType UnitW();
+
+    EIGEN_DEVICE_FUNC
+    const DiagonalWrapper<const Derived> asDiagonal() const;
+    const PermutationWrapper<const Derived> asPermutation() const;
+
+    EIGEN_DEVICE_FUNC
+    Derived& setIdentity();
+    EIGEN_DEVICE_FUNC
+    Derived& setIdentity(Index rows, Index cols);
+
+    bool isIdentity(const RealScalar& prec = NumTraits<Scalar>::dummy_precision()) const;
+    bool isDiagonal(const RealScalar& prec = NumTraits<Scalar>::dummy_precision()) const;
+
+    bool isUpperTriangular(const RealScalar& prec = NumTraits<Scalar>::dummy_precision()) const;
+    bool isLowerTriangular(const RealScalar& prec = NumTraits<Scalar>::dummy_precision()) const;
+
+    template<typename OtherDerived>
+    bool isOrthogonal(const MatrixBase<OtherDerived>& other,
+                      const RealScalar& prec = NumTraits<Scalar>::dummy_precision()) const;
+    bool isUnitary(const RealScalar& prec = NumTraits<Scalar>::dummy_precision()) const;
+
+    /** \returns true if each coefficients of \c *this and \a other are all exactly equal.
+      * \warning When using floating point scalar values you probably should rather use a
+      *          fuzzy comparison such as isApprox()
+      * \sa isApprox(), operator!= */
+    template<typename OtherDerived>
+    EIGEN_DEVICE_FUNC inline bool operator==(const MatrixBase<OtherDerived>& other) const
+    { return cwiseEqual(other).all(); }
+
+    /** \returns true if at least one pair of coefficients of \c *this and \a other are not exactly equal to each other.
+      * \warning When using floating point scalar values you probably should rather use a
+      *          fuzzy comparison such as isApprox()
+      * \sa isApprox(), operator== */
+    template<typename OtherDerived>
+    EIGEN_DEVICE_FUNC inline bool operator!=(const MatrixBase<OtherDerived>& other) const
+    { return cwiseNotEqual(other).any(); }
+
+    NoAlias<Derived,Eigen::MatrixBase > noalias();
+
+    // TODO forceAlignedAccess is temporarily disabled
+    // Need to find a nicer workaround.
+    inline const Derived& forceAlignedAccess() const { return derived(); }
+    inline Derived& forceAlignedAccess() { return derived(); }
+    template<bool Enable> inline const Derived& forceAlignedAccessIf() const { return derived(); }
+    template<bool Enable> inline Derived& forceAlignedAccessIf() { return derived(); }
+
+    EIGEN_DEVICE_FUNC Scalar trace() const;
+
+    template<int p> EIGEN_DEVICE_FUNC RealScalar lpNorm() const;
+
+    EIGEN_DEVICE_FUNC MatrixBase<Derived>& matrix() { return *this; }
+    EIGEN_DEVICE_FUNC const MatrixBase<Derived>& matrix() const { return *this; }
+
+    /** \returns an \link Eigen::ArrayBase Array \endlink expression of this matrix
+      * \sa ArrayBase::matrix() */
+    EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE ArrayWrapper<Derived> array() { return ArrayWrapper<Derived>(derived()); }
+    /** \returns a const \link Eigen::ArrayBase Array \endlink expression of this matrix
+      * \sa ArrayBase::matrix() */
+    EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE const ArrayWrapper<const Derived> array() const { return ArrayWrapper<const Derived>(derived()); }
+
+/////////// LU module ///////////
+
+    inline const FullPivLU<PlainObject> fullPivLu() const;
+    inline const PartialPivLU<PlainObject> partialPivLu() const;
+
+    inline const PartialPivLU<PlainObject> lu() const;
+
+    inline const Inverse<Derived> inverse() const;
+
+    template<typename ResultType>
+    inline void computeInverseAndDetWithCheck(
+      ResultType& inverse,
+      typename ResultType::Scalar& determinant,
+      bool& invertible,
+      const RealScalar& absDeterminantThreshold = NumTraits<Scalar>::dummy_precision()
+    ) const;
+    template<typename ResultType>
+    inline void computeInverseWithCheck(
+      ResultType& inverse,
+      bool& invertible,
+      const RealScalar& absDeterminantThreshold = NumTraits<Scalar>::dummy_precision()
+    ) const;
+    Scalar determinant() const;
+
+/////////// Cholesky module ///////////
+
+    inline const LLT<PlainObject>  llt() const;
+    inline const LDLT<PlainObject> ldlt() const;
+
+/////////// QR module ///////////
+
+    inline const HouseholderQR<PlainObject> householderQr() const;
+    inline const ColPivHouseholderQR<PlainObject> colPivHouseholderQr() const;
+    inline const FullPivHouseholderQR<PlainObject> fullPivHouseholderQr() const;
+    inline const CompleteOrthogonalDecomposition<PlainObject> completeOrthogonalDecomposition() const;
+
+/////////// Eigenvalues module ///////////
+
+    inline EigenvaluesReturnType eigenvalues() const;
+    inline RealScalar operatorNorm() const;
+
+/////////// SVD module ///////////
+
+    inline JacobiSVD<PlainObject> jacobiSvd(unsigned int computationOptions = 0) const;
+    inline BDCSVD<PlainObject>    bdcSvd(unsigned int computationOptions = 0) const;
+
+/////////// Geometry module ///////////
+
+    #ifndef EIGEN_PARSED_BY_DOXYGEN
+    /// \internal helper struct to form the return type of the cross product
+    template<typename OtherDerived> struct cross_product_return_type {
+      typedef typename ScalarBinaryOpTraits<typename internal::traits<Derived>::Scalar,typename internal::traits<OtherDerived>::Scalar>::ReturnType Scalar;
+      typedef Matrix<Scalar,MatrixBase::RowsAtCompileTime,MatrixBase::ColsAtCompileTime> type;
+    };
+    #endif // EIGEN_PARSED_BY_DOXYGEN
+    template<typename OtherDerived>
+    EIGEN_DEVICE_FUNC
+#ifndef EIGEN_PARSED_BY_DOXYGEN
+    inline typename cross_product_return_type<OtherDerived>::type
+#else
+    inline PlainObject
+#endif
+    cross(const MatrixBase<OtherDerived>& other) const;
+
+    template<typename OtherDerived>
+    EIGEN_DEVICE_FUNC
+    inline PlainObject cross3(const MatrixBase<OtherDerived>& other) const;
+
+    EIGEN_DEVICE_FUNC
+    inline PlainObject unitOrthogonal(void) const;
+
+    EIGEN_DEVICE_FUNC
+    inline Matrix<Scalar,3,1> eulerAngles(Index a0, Index a1, Index a2) const;
+
+    // put this as separate enum value to work around possible GCC 4.3 bug (?)
+    enum { HomogeneousReturnTypeDirection = ColsAtCompileTime==1&&RowsAtCompileTime==1 ? ((internal::traits<Derived>::Flags&RowMajorBit)==RowMajorBit ? Horizontal : Vertical)
+                                          : ColsAtCompileTime==1 ? Vertical : Horizontal };
+    typedef Homogeneous<Derived, HomogeneousReturnTypeDirection> HomogeneousReturnType;
+    EIGEN_DEVICE_FUNC
+    inline HomogeneousReturnType homogeneous() const;
+
+    enum {
+      SizeMinusOne = SizeAtCompileTime==Dynamic ? Dynamic : SizeAtCompileTime-1
+    };
+    typedef Block<const Derived,
+                  internal::traits<Derived>::ColsAtCompileTime==1 ? SizeMinusOne : 1,
+                  internal::traits<Derived>::ColsAtCompileTime==1 ? 1 : SizeMinusOne> ConstStartMinusOne;
+    typedef EIGEN_EXPR_BINARYOP_SCALAR_RETURN_TYPE(ConstStartMinusOne,Scalar,quotient) HNormalizedReturnType;
+    EIGEN_DEVICE_FUNC
+    inline const HNormalizedReturnType hnormalized() const;
+
+////////// Householder module ///////////
+
+    void makeHouseholderInPlace(Scalar& tau, RealScalar& beta);
+    template<typename EssentialPart>
+    void makeHouseholder(EssentialPart& essential,
+                         Scalar& tau, RealScalar& beta) const;
+    template<typename EssentialPart>
+    void applyHouseholderOnTheLeft(const EssentialPart& essential,
+                                   const Scalar& tau,
+                                   Scalar* workspace);
+    template<typename EssentialPart>
+    void applyHouseholderOnTheRight(const EssentialPart& essential,
+                                    const Scalar& tau,
+                                    Scalar* workspace);
+
+///////// Jacobi module /////////
+
+    template<typename OtherScalar>
+    void applyOnTheLeft(Index p, Index q, const JacobiRotation<OtherScalar>& j);
+    template<typename OtherScalar>
+    void applyOnTheRight(Index p, Index q, const JacobiRotation<OtherScalar>& j);
+
+///////// SparseCore module /////////
+
+    template<typename OtherDerived>
+    EIGEN_STRONG_INLINE const typename SparseMatrixBase<OtherDerived>::template CwiseProductDenseReturnType<Derived>::Type
+    cwiseProduct(const SparseMatrixBase<OtherDerived> &other) const
+    {
+      return other.cwiseProduct(derived());
+    }
+
+///////// MatrixFunctions module /////////
+
+    typedef typename internal::stem_function<Scalar>::type StemFunction;
+#define EIGEN_MATRIX_FUNCTION(ReturnType, Name, Description) \
+    /** \returns an expression of the matrix Description of \c *this. \brief This function requires the <a href="unsupported/group__MatrixFunctions__Module.html"> unsupported MatrixFunctions module</a>. To compute the coefficient-wise Description use ArrayBase::##Name . */ \
+    const ReturnType<Derived> Name() const;
+#define EIGEN_MATRIX_FUNCTION_1(ReturnType, Name, Description, Argument) \
+    /** \returns an expression of the matrix Description of \c *this. \brief This function requires the <a href="unsupported/group__MatrixFunctions__Module.html"> unsupported MatrixFunctions module</a>. To compute the coefficient-wise Description use ArrayBase::##Name . */ \
+    const ReturnType<Derived> Name(Argument) const;
+
+    EIGEN_MATRIX_FUNCTION(MatrixExponentialReturnValue, exp, exponential)
+    /** \brief Helper function for the <a href="unsupported/group__MatrixFunctions__Module.html"> unsupported MatrixFunctions module</a>.*/
+    const MatrixFunctionReturnValue<Derived> matrixFunction(StemFunction f) const;
+    EIGEN_MATRIX_FUNCTION(MatrixFunctionReturnValue, cosh, hyperbolic cosine)
+    EIGEN_MATRIX_FUNCTION(MatrixFunctionReturnValue, sinh, hyperbolic sine)
+    EIGEN_MATRIX_FUNCTION(MatrixFunctionReturnValue, cos, cosine)
+    EIGEN_MATRIX_FUNCTION(MatrixFunctionReturnValue, sin, sine)
+    EIGEN_MATRIX_FUNCTION(MatrixSquareRootReturnValue, sqrt, square root)
+    EIGEN_MATRIX_FUNCTION(MatrixLogarithmReturnValue, log, logarithm)
+    EIGEN_MATRIX_FUNCTION_1(MatrixPowerReturnValue,        pow, power to \c p, const RealScalar& p)
+    EIGEN_MATRIX_FUNCTION_1(MatrixComplexPowerReturnValue, pow, power to \c p, const std::complex<RealScalar>& p)
+
+  protected:
+    EIGEN_DEFAULT_COPY_CONSTRUCTOR(MatrixBase)
+    EIGEN_DEFAULT_EMPTY_CONSTRUCTOR_AND_DESTRUCTOR(MatrixBase)
+
+  private:
+    EIGEN_DEVICE_FUNC explicit MatrixBase(int);
+    EIGEN_DEVICE_FUNC MatrixBase(int,int);
+    template<typename OtherDerived> EIGEN_DEVICE_FUNC explicit MatrixBase(const MatrixBase<OtherDerived>&);
+  protected:
+    // mixing arrays and matrices is not legal
+    template<typename OtherDerived> Derived& operator+=(const ArrayBase<OtherDerived>& )
+    {EIGEN_STATIC_ASSERT(std::ptrdiff_t(sizeof(typename OtherDerived::Scalar))==-1,YOU_CANNOT_MIX_ARRAYS_AND_MATRICES); return *this;}
+    // mixing arrays and matrices is not legal
+    template<typename OtherDerived> Derived& operator-=(const ArrayBase<OtherDerived>& )
+    {EIGEN_STATIC_ASSERT(std::ptrdiff_t(sizeof(typename OtherDerived::Scalar))==-1,YOU_CANNOT_MIX_ARRAYS_AND_MATRICES); return *this;}
+};
+
+
+/***************************************************************************
+* Implementation of matrix base methods
+***************************************************************************/
+
+/** replaces \c *this by \c *this * \a other.
+  *
+  * \returns a reference to \c *this
+  *
+  * Example: \include MatrixBase_applyOnTheRight.cpp
+  * Output: \verbinclude MatrixBase_applyOnTheRight.out
+  */
+template<typename Derived>
+template<typename OtherDerived>
+inline Derived&
+MatrixBase<Derived>::operator*=(const EigenBase<OtherDerived> &other)
+{
+  other.derived().applyThisOnTheRight(derived());
+  return derived();
+}
+
+/** replaces \c *this by \c *this * \a other. It is equivalent to MatrixBase::operator*=().
+  *
+  * Example: \include MatrixBase_applyOnTheRight.cpp
+  * Output: \verbinclude MatrixBase_applyOnTheRight.out
+  */
+template<typename Derived>
+template<typename OtherDerived>
+inline void MatrixBase<Derived>::applyOnTheRight(const EigenBase<OtherDerived> &other)
+{
+  other.derived().applyThisOnTheRight(derived());
+}
+
+/** replaces \c *this by \a other * \c *this.
+  *
+  * Example: \include MatrixBase_applyOnTheLeft.cpp
+  * Output: \verbinclude MatrixBase_applyOnTheLeft.out
+  */
+template<typename Derived>
+template<typename OtherDerived>
+inline void MatrixBase<Derived>::applyOnTheLeft(const EigenBase<OtherDerived> &other)
+{
+  other.derived().applyThisOnTheLeft(derived());
+}
+
+} // end namespace Eigen
+
+#endif // EIGEN_MATRIXBASE_H
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/Swap.h
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/Swap.h	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/Swap.h	(revision 3761)
@@ -0,0 +1,67 @@
+// This file is part of Eigen, a lightweight C++ template library
+// for linear algebra.
+//
+// Copyright (C) 2006-2008 Benoit Jacob <jacob.benoit.1@gmail.com>
+//
+// This Source Code Form is subject to the terms of the Mozilla
+// Public License v. 2.0. If a copy of the MPL was not distributed
+// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
+
+#ifndef EIGEN_SWAP_H
+#define EIGEN_SWAP_H
+
+namespace Eigen { 
+
+namespace internal {
+
+// Overload default assignPacket behavior for swapping them
+template<typename DstEvaluatorTypeT, typename SrcEvaluatorTypeT>
+class generic_dense_assignment_kernel<DstEvaluatorTypeT, SrcEvaluatorTypeT, swap_assign_op<typename DstEvaluatorTypeT::Scalar>, Specialized>
+ : public generic_dense_assignment_kernel<DstEvaluatorTypeT, SrcEvaluatorTypeT, swap_assign_op<typename DstEvaluatorTypeT::Scalar>, BuiltIn>
+{
+protected:
+  typedef generic_dense_assignment_kernel<DstEvaluatorTypeT, SrcEvaluatorTypeT, swap_assign_op<typename DstEvaluatorTypeT::Scalar>, BuiltIn> Base;
+  using Base::m_dst;
+  using Base::m_src;
+  using Base::m_functor;
+  
+public:
+  typedef typename Base::Scalar Scalar;
+  typedef typename Base::DstXprType DstXprType;
+  typedef swap_assign_op<Scalar> Functor;
+  
+  EIGEN_DEVICE_FUNC generic_dense_assignment_kernel(DstEvaluatorTypeT &dst, const SrcEvaluatorTypeT &src, const Functor &func, DstXprType& dstExpr)
+    : Base(dst, src, func, dstExpr)
+  {}
+  
+  template<int StoreMode, int LoadMode, typename PacketType>
+  void assignPacket(Index row, Index col)
+  {
+    PacketType tmp = m_src.template packet<LoadMode,PacketType>(row,col);
+    const_cast<SrcEvaluatorTypeT&>(m_src).template writePacket<LoadMode>(row,col, m_dst.template packet<StoreMode,PacketType>(row,col));
+    m_dst.template writePacket<StoreMode>(row,col,tmp);
+  }
+  
+  template<int StoreMode, int LoadMode, typename PacketType>
+  void assignPacket(Index index)
+  {
+    PacketType tmp = m_src.template packet<LoadMode,PacketType>(index);
+    const_cast<SrcEvaluatorTypeT&>(m_src).template writePacket<LoadMode>(index, m_dst.template packet<StoreMode,PacketType>(index));
+    m_dst.template writePacket<StoreMode>(index,tmp);
+  }
+  
+  // TODO find a simple way not to have to copy/paste this function from generic_dense_assignment_kernel, by simple I mean no CRTP (Gael)
+  template<int StoreMode, int LoadMode, typename PacketType>
+  void assignPacketByOuterInner(Index outer, Index inner)
+  {
+    Index row = Base::rowIndexByOuterInner(outer, inner); 
+    Index col = Base::colIndexByOuterInner(outer, inner);
+    assignPacket<StoreMode,LoadMode,PacketType>(row, col);
+  }
+};
+
+} // namespace internal
+
+} // end namespace Eigen
+
+#endif // EIGEN_SWAP_H
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/Reverse.h
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/Reverse.h	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/Reverse.h	(revision 3761)
@@ -0,0 +1,211 @@
+// This file is part of Eigen, a lightweight C++ template library
+// for linear algebra.
+//
+// Copyright (C) 2006-2008 Benoit Jacob <jacob.benoit.1@gmail.com>
+// Copyright (C) 2009 Ricard Marxer <email@ricardmarxer.com>
+// Copyright (C) 2009-2010 Gael Guennebaud <gael.guennebaud@inria.fr>
+//
+// This Source Code Form is subject to the terms of the Mozilla
+// Public License v. 2.0. If a copy of the MPL was not distributed
+// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
+
+#ifndef EIGEN_REVERSE_H
+#define EIGEN_REVERSE_H
+
+namespace Eigen { 
+
+namespace internal {
+
+template<typename MatrixType, int Direction>
+struct traits<Reverse<MatrixType, Direction> >
+ : traits<MatrixType>
+{
+  typedef typename MatrixType::Scalar Scalar;
+  typedef typename traits<MatrixType>::StorageKind StorageKind;
+  typedef typename traits<MatrixType>::XprKind XprKind;
+  typedef typename ref_selector<MatrixType>::type MatrixTypeNested;
+  typedef typename remove_reference<MatrixTypeNested>::type _MatrixTypeNested;
+  enum {
+    RowsAtCompileTime = MatrixType::RowsAtCompileTime,
+    ColsAtCompileTime = MatrixType::ColsAtCompileTime,
+    MaxRowsAtCompileTime = MatrixType::MaxRowsAtCompileTime,
+    MaxColsAtCompileTime = MatrixType::MaxColsAtCompileTime,
+    Flags = _MatrixTypeNested::Flags & (RowMajorBit | LvalueBit)
+  };
+};
+
+template<typename PacketType, bool ReversePacket> struct reverse_packet_cond
+{
+  static inline PacketType run(const PacketType& x) { return preverse(x); }
+};
+
+template<typename PacketType> struct reverse_packet_cond<PacketType,false>
+{
+  static inline PacketType run(const PacketType& x) { return x; }
+};
+
+} // end namespace internal 
+
+/** \class Reverse
+  * \ingroup Core_Module
+  *
+  * \brief Expression of the reverse of a vector or matrix
+  *
+  * \tparam MatrixType the type of the object of which we are taking the reverse
+  * \tparam Direction defines the direction of the reverse operation, can be Vertical, Horizontal, or BothDirections
+  *
+  * This class represents an expression of the reverse of a vector.
+  * It is the return type of MatrixBase::reverse() and VectorwiseOp::reverse()
+  * and most of the time this is the only way it is used.
+  *
+  * \sa MatrixBase::reverse(), VectorwiseOp::reverse()
+  */
+template<typename MatrixType, int Direction> class Reverse
+  : public internal::dense_xpr_base< Reverse<MatrixType, Direction> >::type
+{
+  public:
+
+    typedef typename internal::dense_xpr_base<Reverse>::type Base;
+    EIGEN_DENSE_PUBLIC_INTERFACE(Reverse)
+    typedef typename internal::remove_all<MatrixType>::type NestedExpression;
+    using Base::IsRowMajor;
+
+  protected:
+    enum {
+      PacketSize = internal::packet_traits<Scalar>::size,
+      IsColMajor = !IsRowMajor,
+      ReverseRow = (Direction == Vertical)   || (Direction == BothDirections),
+      ReverseCol = (Direction == Horizontal) || (Direction == BothDirections),
+      OffsetRow  = ReverseRow && IsColMajor ? PacketSize : 1,
+      OffsetCol  = ReverseCol && IsRowMajor ? PacketSize : 1,
+      ReversePacket = (Direction == BothDirections)
+                    || ((Direction == Vertical)   && IsColMajor)
+                    || ((Direction == Horizontal) && IsRowMajor)
+    };
+    typedef internal::reverse_packet_cond<PacketScalar,ReversePacket> reverse_packet;
+  public:
+
+    EIGEN_DEVICE_FUNC explicit inline Reverse(const MatrixType& matrix) : m_matrix(matrix) { }
+
+    EIGEN_INHERIT_ASSIGNMENT_OPERATORS(Reverse)
+
+    EIGEN_DEVICE_FUNC inline Index rows() const { return m_matrix.rows(); }
+    EIGEN_DEVICE_FUNC inline Index cols() const { return m_matrix.cols(); }
+
+    EIGEN_DEVICE_FUNC inline Index innerStride() const
+    {
+      return -m_matrix.innerStride();
+    }
+
+    EIGEN_DEVICE_FUNC const typename internal::remove_all<typename MatrixType::Nested>::type&
+    nestedExpression() const 
+    {
+      return m_matrix;
+    }
+
+  protected:
+    typename MatrixType::Nested m_matrix;
+};
+
+/** \returns an expression of the reverse of *this.
+  *
+  * Example: \include MatrixBase_reverse.cpp
+  * Output: \verbinclude MatrixBase_reverse.out
+  *
+  */
+template<typename Derived>
+inline typename DenseBase<Derived>::ReverseReturnType
+DenseBase<Derived>::reverse()
+{
+  return ReverseReturnType(derived());
+}
+
+
+//reverse const overload moved DenseBase.h due to a CUDA compiler bug
+
+/** This is the "in place" version of reverse: it reverses \c *this.
+  *
+  * In most cases it is probably better to simply use the reversed expression
+  * of a matrix. However, when reversing the matrix data itself is really needed,
+  * then this "in-place" version is probably the right choice because it provides
+  * the following additional benefits:
+  *  - less error prone: doing the same operation with .reverse() requires special care:
+  *    \code m = m.reverse().eval(); \endcode
+  *  - this API enables reverse operations without the need for a temporary
+  *  - it allows future optimizations (cache friendliness, etc.)
+  *
+  * \sa VectorwiseOp::reverseInPlace(), reverse() */
+template<typename Derived>
+inline void DenseBase<Derived>::reverseInPlace()
+{
+  if(cols()>rows())
+  {
+    Index half = cols()/2;
+    leftCols(half).swap(rightCols(half).reverse());
+    if((cols()%2)==1)
+    {
+      Index half2 = rows()/2;
+      col(half).head(half2).swap(col(half).tail(half2).reverse());
+    }
+  }
+  else
+  {
+    Index half = rows()/2;
+    topRows(half).swap(bottomRows(half).reverse());
+    if((rows()%2)==1)
+    {
+      Index half2 = cols()/2;
+      row(half).head(half2).swap(row(half).tail(half2).reverse());
+    }
+  }
+}
+
+namespace internal {
+  
+template<int Direction>
+struct vectorwise_reverse_inplace_impl;
+
+template<>
+struct vectorwise_reverse_inplace_impl<Vertical>
+{
+  template<typename ExpressionType>
+  static void run(ExpressionType &xpr)
+  {
+    Index half = xpr.rows()/2;
+    xpr.topRows(half).swap(xpr.bottomRows(half).colwise().reverse());
+  }
+};
+
+template<>
+struct vectorwise_reverse_inplace_impl<Horizontal>
+{
+  template<typename ExpressionType>
+  static void run(ExpressionType &xpr)
+  {
+    Index half = xpr.cols()/2;
+    xpr.leftCols(half).swap(xpr.rightCols(half).rowwise().reverse());
+  }
+};
+
+} // end namespace internal
+
+/** This is the "in place" version of VectorwiseOp::reverse: it reverses each column or row of \c *this.
+  *
+  * In most cases it is probably better to simply use the reversed expression
+  * of a matrix. However, when reversing the matrix data itself is really needed,
+  * then this "in-place" version is probably the right choice because it provides
+  * the following additional benefits:
+  *  - less error prone: doing the same operation with .reverse() requires special care:
+  *    \code m = m.reverse().eval(); \endcode
+  *  - this API enables reverse operations without the need for a temporary
+  *
+  * \sa DenseBase::reverseInPlace(), reverse() */
+template<typename ExpressionType, int Direction>
+void VectorwiseOp<ExpressionType,Direction>::reverseInPlace()
+{
+  internal::vectorwise_reverse_inplace_impl<Direction>::run(_expression().const_cast_derived());
+}
+
+} // end namespace Eigen
+
+#endif // EIGEN_REVERSE_H
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h	(revision 3761)
@@ -0,0 +1,133 @@
+// This file is part of Eigen, a lightweight C++ template library
+// for linear algebra.
+//
+// Copyright (C) 2009 Gael Guennebaud <gael.guennebaud@inria.fr>
+//
+// This Source Code Form is subject to the terms of the Mozilla
+// Public License v. 2.0. If a copy of the MPL was not distributed
+// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
+
+#ifndef EIGEN_SELFADJOINT_PRODUCT_H
+#define EIGEN_SELFADJOINT_PRODUCT_H
+
+/**********************************************************************
+* This file implements a self adjoint product: C += A A^T updating only
+* half of the selfadjoint matrix C.
+* It corresponds to the level 3 SYRK and level 2 SYR Blas routines.
+**********************************************************************/
+
+namespace Eigen { 
+
+
+template<typename Scalar, typename Index, int UpLo, bool ConjLhs, bool ConjRhs>
+struct selfadjoint_rank1_update<Scalar,Index,ColMajor,UpLo,ConjLhs,ConjRhs>
+{
+  static void run(Index size, Scalar* mat, Index stride, const Scalar* vecX, const Scalar* vecY, const Scalar& alpha)
+  {
+    internal::conj_if<ConjRhs> cj;
+    typedef Map<const Matrix<Scalar,Dynamic,1> > OtherMap;
+    typedef typename internal::conditional<ConjLhs,typename OtherMap::ConjugateReturnType,const OtherMap&>::type ConjLhsType;
+    for (Index i=0; i<size; ++i)
+    {
+      Map<Matrix<Scalar,Dynamic,1> >(mat+stride*i+(UpLo==Lower ? i : 0), (UpLo==Lower ? size-i : (i+1)))
+          += (alpha * cj(vecY[i])) * ConjLhsType(OtherMap(vecX+(UpLo==Lower ? i : 0),UpLo==Lower ? size-i : (i+1)));
+    }
+  }
+};
+
+template<typename Scalar, typename Index, int UpLo, bool ConjLhs, bool ConjRhs>
+struct selfadjoint_rank1_update<Scalar,Index,RowMajor,UpLo,ConjLhs,ConjRhs>
+{
+  static void run(Index size, Scalar* mat, Index stride, const Scalar* vecX, const Scalar* vecY, const Scalar& alpha)
+  {
+    selfadjoint_rank1_update<Scalar,Index,ColMajor,UpLo==Lower?Upper:Lower,ConjRhs,ConjLhs>::run(size,mat,stride,vecY,vecX,alpha);
+  }
+};
+
+template<typename MatrixType, typename OtherType, int UpLo, bool OtherIsVector = OtherType::IsVectorAtCompileTime>
+struct selfadjoint_product_selector;
+
+template<typename MatrixType, typename OtherType, int UpLo>
+struct selfadjoint_product_selector<MatrixType,OtherType,UpLo,true>
+{
+  static void run(MatrixType& mat, const OtherType& other, const typename MatrixType::Scalar& alpha)
+  {
+    typedef typename MatrixType::Scalar Scalar;
+    typedef internal::blas_traits<OtherType> OtherBlasTraits;
+    typedef typename OtherBlasTraits::DirectLinearAccessType ActualOtherType;
+    typedef typename internal::remove_all<ActualOtherType>::type _ActualOtherType;
+    typename internal::add_const_on_value_type<ActualOtherType>::type actualOther = OtherBlasTraits::extract(other.derived());
+
+    Scalar actualAlpha = alpha * OtherBlasTraits::extractScalarFactor(other.derived());
+
+    enum {
+      StorageOrder = (internal::traits<MatrixType>::Flags&RowMajorBit) ? RowMajor : ColMajor,
+      UseOtherDirectly = _ActualOtherType::InnerStrideAtCompileTime==1
+    };
+    internal::gemv_static_vector_if<Scalar,OtherType::SizeAtCompileTime,OtherType::MaxSizeAtCompileTime,!UseOtherDirectly> static_other;
+
+    ei_declare_aligned_stack_constructed_variable(Scalar, actualOtherPtr, other.size(),
+      (UseOtherDirectly ? const_cast<Scalar*>(actualOther.data()) : static_other.data()));
+      
+    if(!UseOtherDirectly)
+      Map<typename _ActualOtherType::PlainObject>(actualOtherPtr, actualOther.size()) = actualOther;
+    
+    selfadjoint_rank1_update<Scalar,Index,StorageOrder,UpLo,
+                              OtherBlasTraits::NeedToConjugate  && NumTraits<Scalar>::IsComplex,
+                            (!OtherBlasTraits::NeedToConjugate) && NumTraits<Scalar>::IsComplex>
+          ::run(other.size(), mat.data(), mat.outerStride(), actualOtherPtr, actualOtherPtr, actualAlpha);
+  }
+};
+
+template<typename MatrixType, typename OtherType, int UpLo>
+struct selfadjoint_product_selector<MatrixType,OtherType,UpLo,false>
+{
+  static void run(MatrixType& mat, const OtherType& other, const typename MatrixType::Scalar& alpha)
+  {
+    typedef typename MatrixType::Scalar Scalar;
+    typedef internal::blas_traits<OtherType> OtherBlasTraits;
+    typedef typename OtherBlasTraits::DirectLinearAccessType ActualOtherType;
+    typedef typename internal::remove_all<ActualOtherType>::type _ActualOtherType;
+    typename internal::add_const_on_value_type<ActualOtherType>::type actualOther = OtherBlasTraits::extract(other.derived());
+
+    Scalar actualAlpha = alpha * OtherBlasTraits::extractScalarFactor(other.derived());
+
+    enum {
+      IsRowMajor = (internal::traits<MatrixType>::Flags&RowMajorBit) ? 1 : 0,
+      OtherIsRowMajor = _ActualOtherType::Flags&RowMajorBit ? 1 : 0
+    };
+
+    Index size = mat.cols();
+    Index depth = actualOther.cols();
+
+    typedef internal::gemm_blocking_space<IsRowMajor ? RowMajor : ColMajor,Scalar,Scalar,
+              MatrixType::MaxColsAtCompileTime, MatrixType::MaxColsAtCompileTime, _ActualOtherType::MaxColsAtCompileTime> BlockingType;
+
+    BlockingType blocking(size, size, depth, 1, false);
+
+
+    internal::general_matrix_matrix_triangular_product<Index,
+      Scalar, OtherIsRowMajor ? RowMajor : ColMajor,   OtherBlasTraits::NeedToConjugate  && NumTraits<Scalar>::IsComplex,
+      Scalar, OtherIsRowMajor ? ColMajor : RowMajor, (!OtherBlasTraits::NeedToConjugate) && NumTraits<Scalar>::IsComplex,
+      IsRowMajor ? RowMajor : ColMajor, MatrixType::InnerStrideAtCompileTime, UpLo>
+      ::run(size, depth,
+            &actualOther.coeffRef(0,0), actualOther.outerStride(), &actualOther.coeffRef(0,0), actualOther.outerStride(),
+            mat.data(), mat.innerStride(), mat.outerStride(), actualAlpha, blocking);
+  }
+};
+
+// high level API
+
+template<typename MatrixType, unsigned int UpLo>
+template<typename DerivedU>
+SelfAdjointView<MatrixType,UpLo>& SelfAdjointView<MatrixType,UpLo>
+::rankUpdate(const MatrixBase<DerivedU>& u, const Scalar& alpha)
+{
+  selfadjoint_product_selector<MatrixType,DerivedU,UpLo>::run(_expression().const_cast_derived(), u.derived(), alpha);
+
+  return *this;
+}
+
+} // end namespace Eigen
+
+#endif // EIGEN_SELFADJOINT_PRODUCT_H
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h	(revision 3761)
@@ -0,0 +1,93 @@
+// This file is part of Eigen, a lightweight C++ template library
+// for linear algebra.
+//
+// Copyright (C) 2009 Gael Guennebaud <gael.guennebaud@inria.fr>
+//
+// This Source Code Form is subject to the terms of the Mozilla
+// Public License v. 2.0. If a copy of the MPL was not distributed
+// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
+
+#ifndef EIGEN_SELFADJOINTRANK2UPTADE_H
+#define EIGEN_SELFADJOINTRANK2UPTADE_H
+
+namespace Eigen { 
+
+namespace internal {
+
+/* Optimized selfadjoint matrix += alpha * uv' + conj(alpha)*vu'
+ * It corresponds to the Level2 syr2 BLAS routine
+ */
+
+template<typename Scalar, typename Index, typename UType, typename VType, int UpLo>
+struct selfadjoint_rank2_update_selector;
+
+template<typename Scalar, typename Index, typename UType, typename VType>
+struct selfadjoint_rank2_update_selector<Scalar,Index,UType,VType,Lower>
+{
+  static void run(Scalar* mat, Index stride, const UType& u, const VType& v, const Scalar& alpha)
+  {
+    const Index size = u.size();
+    for (Index i=0; i<size; ++i)
+    {
+      Map<Matrix<Scalar,Dynamic,1> >(mat+stride*i+i, size-i) +=
+                        (numext::conj(alpha) * numext::conj(u.coeff(i))) * v.tail(size-i)
+                      + (alpha * numext::conj(v.coeff(i))) * u.tail(size-i);
+    }
+  }
+};
+
+template<typename Scalar, typename Index, typename UType, typename VType>
+struct selfadjoint_rank2_update_selector<Scalar,Index,UType,VType,Upper>
+{
+  static void run(Scalar* mat, Index stride, const UType& u, const VType& v, const Scalar& alpha)
+  {
+    const Index size = u.size();
+    for (Index i=0; i<size; ++i)
+      Map<Matrix<Scalar,Dynamic,1> >(mat+stride*i, i+1) +=
+                        (numext::conj(alpha)  * numext::conj(u.coeff(i))) * v.head(i+1)
+                      + (alpha * numext::conj(v.coeff(i))) * u.head(i+1);
+  }
+};
+
+template<bool Cond, typename T> struct conj_expr_if
+  : conditional<!Cond, const T&,
+      CwiseUnaryOp<scalar_conjugate_op<typename traits<T>::Scalar>,T> > {};
+
+} // end namespace internal
+
+template<typename MatrixType, unsigned int UpLo>
+template<typename DerivedU, typename DerivedV>
+SelfAdjointView<MatrixType,UpLo>& SelfAdjointView<MatrixType,UpLo>
+::rankUpdate(const MatrixBase<DerivedU>& u, const MatrixBase<DerivedV>& v, const Scalar& alpha)
+{
+  typedef internal::blas_traits<DerivedU> UBlasTraits;
+  typedef typename UBlasTraits::DirectLinearAccessType ActualUType;
+  typedef typename internal::remove_all<ActualUType>::type _ActualUType;
+  typename internal::add_const_on_value_type<ActualUType>::type actualU = UBlasTraits::extract(u.derived());
+
+  typedef internal::blas_traits<DerivedV> VBlasTraits;
+  typedef typename VBlasTraits::DirectLinearAccessType ActualVType;
+  typedef typename internal::remove_all<ActualVType>::type _ActualVType;
+  typename internal::add_const_on_value_type<ActualVType>::type actualV = VBlasTraits::extract(v.derived());
+
+  // If MatrixType is row major, then we use the routine for lower triangular in the upper triangular case and
+  // vice versa, and take the complex conjugate of all coefficients and vector entries.
+
+  enum { IsRowMajor = (internal::traits<MatrixType>::Flags&RowMajorBit) ? 1 : 0 };
+  Scalar actualAlpha = alpha * UBlasTraits::extractScalarFactor(u.derived())
+                             * numext::conj(VBlasTraits::extractScalarFactor(v.derived()));
+  if (IsRowMajor)
+    actualAlpha = numext::conj(actualAlpha);
+
+  typedef typename internal::remove_all<typename internal::conj_expr_if<IsRowMajor ^ UBlasTraits::NeedToConjugate,_ActualUType>::type>::type UType;
+  typedef typename internal::remove_all<typename internal::conj_expr_if<IsRowMajor ^ VBlasTraits::NeedToConjugate,_ActualVType>::type>::type VType;
+  internal::selfadjoint_rank2_update_selector<Scalar, Index, UType, VType,
+    (IsRowMajor ? int(UpLo==Upper ? Lower : Upper) : UpLo)>
+    ::run(_expression().const_cast_derived().data(),_expression().outerStride(),UType(actualU),VType(actualV),actualAlpha);
+
+  return *this;
+}
+
+} // end namespace Eigen
+
+#endif // EIGEN_SELFADJOINTRANK2UPTADE_H
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h	(revision 3761)
@@ -0,0 +1,2157 @@
+// This file is part of Eigen, a lightweight C++ template library
+// for linear algebra.
+//
+// Copyright (C) 2008-2009 Gael Guennebaud <gael.guennebaud@inria.fr>
+//
+// This Source Code Form is subject to the terms of the Mozilla
+// Public License v. 2.0. If a copy of the MPL was not distributed
+// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
+
+#ifndef EIGEN_GENERAL_BLOCK_PANEL_H
+#define EIGEN_GENERAL_BLOCK_PANEL_H
+
+
+namespace Eigen {
+
+namespace internal {
+
+template<typename _LhsScalar, typename _RhsScalar, bool _ConjLhs=false, bool _ConjRhs=false>
+class gebp_traits;
+
+
+/** \internal \returns b if a<=0, and returns a otherwise. */
+inline std::ptrdiff_t manage_caching_sizes_helper(std::ptrdiff_t a, std::ptrdiff_t b)
+{
+  return a<=0 ? b : a;
+}
+
+#if EIGEN_ARCH_i386_OR_x86_64
+const std::ptrdiff_t defaultL1CacheSize = 32*1024;
+const std::ptrdiff_t defaultL2CacheSize = 256*1024;
+const std::ptrdiff_t defaultL3CacheSize = 2*1024*1024;
+#else
+const std::ptrdiff_t defaultL1CacheSize = 16*1024;
+const std::ptrdiff_t defaultL2CacheSize = 512*1024;
+const std::ptrdiff_t defaultL3CacheSize = 512*1024;
+#endif
+
+/** \internal */
+struct CacheSizes {
+  CacheSizes(): m_l1(-1),m_l2(-1),m_l3(-1) {
+    int l1CacheSize, l2CacheSize, l3CacheSize;
+    queryCacheSizes(l1CacheSize, l2CacheSize, l3CacheSize);
+    m_l1 = manage_caching_sizes_helper(l1CacheSize, defaultL1CacheSize);
+    m_l2 = manage_caching_sizes_helper(l2CacheSize, defaultL2CacheSize);
+    m_l3 = manage_caching_sizes_helper(l3CacheSize, defaultL3CacheSize);
+  }
+
+  std::ptrdiff_t m_l1;
+  std::ptrdiff_t m_l2;
+  std::ptrdiff_t m_l3;
+};
+
+
+/** \internal */
+inline void manage_caching_sizes(Action action, std::ptrdiff_t* l1, std::ptrdiff_t* l2, std::ptrdiff_t* l3)
+{
+  static CacheSizes m_cacheSizes;
+
+  if(action==SetAction)
+  {
+    // set the cpu cache size and cache all block sizes from a global cache size in byte
+    eigen_internal_assert(l1!=0 && l2!=0);
+    m_cacheSizes.m_l1 = *l1;
+    m_cacheSizes.m_l2 = *l2;
+    m_cacheSizes.m_l3 = *l3;
+  }
+  else if(action==GetAction)
+  {
+    eigen_internal_assert(l1!=0 && l2!=0);
+    *l1 = m_cacheSizes.m_l1;
+    *l2 = m_cacheSizes.m_l2;
+    *l3 = m_cacheSizes.m_l3;
+  }
+  else
+  {
+    eigen_internal_assert(false);
+  }
+}
+
+/* Helper for computeProductBlockingSizes.
+ *
+ * Given a m x k times k x n matrix product of scalar types \c LhsScalar and \c RhsScalar,
+ * this function computes the blocking size parameters along the respective dimensions
+ * for matrix products and related algorithms. The blocking sizes depends on various
+ * parameters:
+ * - the L1 and L2 cache sizes,
+ * - the register level blocking sizes defined by gebp_traits,
+ * - the number of scalars that fit into a packet (when vectorization is enabled).
+ *
+ * \sa setCpuCacheSizes */
+
+template<typename LhsScalar, typename RhsScalar, int KcFactor, typename Index>
+void evaluateProductBlockingSizesHeuristic(Index& k, Index& m, Index& n, Index num_threads = 1)
+{
+  typedef gebp_traits<LhsScalar,RhsScalar> Traits;
+
+  // Explanations:
+  // Let's recall that the product algorithms form mc x kc vertical panels A' on the lhs and
+  // kc x nc blocks B' on the rhs. B' has to fit into L2/L3 cache. Moreover, A' is processed
+  // per mr x kc horizontal small panels where mr is the blocking size along the m dimension
+  // at the register level. This small horizontal panel has to stay within L1 cache.
+  std::ptrdiff_t l1, l2, l3;
+  manage_caching_sizes(GetAction, &l1, &l2, &l3);
+
+  if (num_threads > 1) {
+    typedef typename Traits::ResScalar ResScalar;
+    enum {
+      kdiv = KcFactor * (Traits::mr * sizeof(LhsScalar) + Traits::nr * sizeof(RhsScalar)),
+      ksub = Traits::mr * Traits::nr * sizeof(ResScalar),
+      kr = 8,
+      mr = Traits::mr,
+      nr = Traits::nr
+    };
+    // Increasing k gives us more time to prefetch the content of the "C"
+    // registers. However once the latency is hidden there is no point in
+    // increasing the value of k, so we'll cap it at 320 (value determined
+    // experimentally).
+    // To avoid that k vanishes, we make k_cache at least as big as kr
+    const Index k_cache = numext::maxi<Index>(kr, (numext::mini<Index>)((l1-ksub)/kdiv, 320));
+    if (k_cache < k) {
+      k = k_cache - (k_cache % kr);
+      eigen_internal_assert(k > 0);
+    }
+
+    const Index n_cache = (l2-l1) / (nr * sizeof(RhsScalar) * k);
+    const Index n_per_thread = numext::div_ceil(n, num_threads);
+    if (n_cache <= n_per_thread) {
+      // Don't exceed the capacity of the l2 cache.
+      eigen_internal_assert(n_cache >= static_cast<Index>(nr));
+      n = n_cache - (n_cache % nr);
+      eigen_internal_assert(n > 0);
+    } else {
+      n = (numext::mini<Index>)(n, (n_per_thread + nr - 1) - ((n_per_thread + nr - 1) % nr));
+    }
+
+    if (l3 > l2) {
+      // l3 is shared between all cores, so we'll give each thread its own chunk of l3.
+      const Index m_cache = (l3-l2) / (sizeof(LhsScalar) * k * num_threads);
+      const Index m_per_thread = numext::div_ceil(m, num_threads);
+      if(m_cache < m_per_thread && m_cache >= static_cast<Index>(mr)) {
+        m = m_cache - (m_cache % mr);
+        eigen_internal_assert(m > 0);
+      } else {
+        m = (numext::mini<Index>)(m, (m_per_thread + mr - 1) - ((m_per_thread + mr - 1) % mr));
+      }
+    }
+  }
+  else {
+    // In unit tests we do not want to use extra large matrices,
+    // so we reduce the cache size to check the blocking strategy is not flawed
+#ifdef EIGEN_DEBUG_SMALL_PRODUCT_BLOCKS
+    l1 = 9*1024;
+    l2 = 32*1024;
+    l3 = 512*1024;
+#endif
+
+    // Early return for small problems because the computation below are time consuming for small problems.
+    // Perhaps it would make more sense to consider k*n*m??
+    // Note that for very tiny problem, this function should be bypassed anyway
+    // because we use the coefficient-based implementation for them.
+    if((numext::maxi)(k,(numext::maxi)(m,n))<48)
+      return;
+
+    typedef typename Traits::ResScalar ResScalar;
+    enum {
+      k_peeling = 8,
+      k_div = KcFactor * (Traits::mr * sizeof(LhsScalar) + Traits::nr * sizeof(RhsScalar)),
+      k_sub = Traits::mr * Traits::nr * sizeof(ResScalar)
+    };
+
+    // ---- 1st level of blocking on L1, yields kc ----
+
+    // Blocking on the third dimension (i.e., k) is chosen so that an horizontal panel
+    // of size mr x kc of the lhs plus a vertical panel of kc x nr of the rhs both fits within L1 cache.
+    // We also include a register-level block of the result (mx x nr).
+    // (In an ideal world only the lhs panel would stay in L1)
+    // Moreover, kc has to be a multiple of 8 to be compatible with loop peeling, leading to a maximum blocking size of:
+    const Index max_kc = numext::maxi<Index>(((l1-k_sub)/k_div) & (~(k_peeling-1)),1);
+    const Index old_k = k;
+    if(k>max_kc)
+    {
+      // We are really blocking on the third dimension:
+      // -> reduce blocking size to make sure the last block is as large as possible
+      //    while keeping the same number of sweeps over the result.
+      k = (k%max_kc)==0 ? max_kc
+                        : max_kc - k_peeling * ((max_kc-1-(k%max_kc))/(k_peeling*(k/max_kc+1)));
+
+      eigen_internal_assert(((old_k/k) == (old_k/max_kc)) && "the number of sweeps has to remain the same");
+    }
+
+    // ---- 2nd level of blocking on max(L2,L3), yields nc ----
+
+    // TODO find a reliable way to get the actual amount of cache per core to use for 2nd level blocking, that is:
+    //      actual_l2 = max(l2, l3/nb_core_sharing_l3)
+    // The number below is quite conservative: it is better to underestimate the cache size rather than overestimating it)
+    // For instance, it corresponds to 6MB of L3 shared among 4 cores.
+    #ifdef EIGEN_DEBUG_SMALL_PRODUCT_BLOCKS
+    const Index actual_l2 = l3;
+    #else
+    const Index actual_l2 = 1572864; // == 1.5 MB
+    #endif
+
+    // Here, nc is chosen such that a block of kc x nc of the rhs fit within half of L2.
+    // The second half is implicitly reserved to access the result and lhs coefficients.
+    // When k<max_kc, then nc can arbitrarily growth. In practice, it seems to be fruitful
+    // to limit this growth: we bound nc to growth by a factor x1.5.
+    // However, if the entire lhs block fit within L1, then we are not going to block on the rows at all,
+    // and it becomes fruitful to keep the packed rhs blocks in L1 if there is enough remaining space.
+    Index max_nc;
+    const Index lhs_bytes = m * k * sizeof(LhsScalar);
+    const Index remaining_l1 = l1- k_sub - lhs_bytes;
+    if(remaining_l1 >= Index(Traits::nr*sizeof(RhsScalar))*k)
+    {
+      // L1 blocking
+      max_nc = remaining_l1 / (k*sizeof(RhsScalar));
+    }
+    else
+    {
+      // L2 blocking
+      max_nc = (3*actual_l2)/(2*2*max_kc*sizeof(RhsScalar));
+    }
+    // WARNING Below, we assume that Traits::nr is a power of two.
+    Index nc = numext::mini<Index>(actual_l2/(2*k*sizeof(RhsScalar)), max_nc) & (~(Traits::nr-1));
+    if(n>nc)
+    {
+      // We are really blocking over the columns:
+      // -> reduce blocking size to make sure the last block is as large as possible
+      //    while keeping the same number of sweeps over the packed lhs.
+      //    Here we allow one more sweep if this gives us a perfect match, thus the commented "-1"
+      n = (n%nc)==0 ? nc
+                    : (nc - Traits::nr * ((nc/*-1*/-(n%nc))/(Traits::nr*(n/nc+1))));
+    }
+    else if(old_k==k)
+    {
+      // So far, no blocking at all, i.e., kc==k, and nc==n.
+      // In this case, let's perform a blocking over the rows such that the packed lhs data is kept in cache L1/L2
+      // TODO: part of this blocking strategy is now implemented within the kernel itself, so the L1-based heuristic here should be obsolete.
+      Index problem_size = k*n*sizeof(LhsScalar);
+      Index actual_lm = actual_l2;
+      Index max_mc = m;
+      if(problem_size<=1024)
+      {
+        // problem is small enough to keep in L1
+        // Let's choose m such that lhs's block fit in 1/3 of L1
+        actual_lm = l1;
+      }
+      else if(l3!=0 && problem_size<=32768)
+      {
+        // we have both L2 and L3, and problem is small enough to be kept in L2
+        // Let's choose m such that lhs's block fit in 1/3 of L2
+        actual_lm = l2;
+        max_mc = (numext::mini<Index>)(576,max_mc);
+      }
+      Index mc = (numext::mini<Index>)(actual_lm/(3*k*sizeof(LhsScalar)), max_mc);
+      if (mc > Traits::mr) mc -= mc % Traits::mr;
+      else if (mc==0) return;
+      m = (m%mc)==0 ? mc
+                    : (mc - Traits::mr * ((mc/*-1*/-(m%mc))/(Traits::mr*(m/mc+1))));
+    }
+  }
+}
+
+template <typename Index>
+inline bool useSpecificBlockingSizes(Index& k, Index& m, Index& n)
+{
+#ifdef EIGEN_TEST_SPECIFIC_BLOCKING_SIZES
+  if (EIGEN_TEST_SPECIFIC_BLOCKING_SIZES) {
+    k = numext::mini<Index>(k, EIGEN_TEST_SPECIFIC_BLOCKING_SIZE_K);
+    m = numext::mini<Index>(m, EIGEN_TEST_SPECIFIC_BLOCKING_SIZE_M);
+    n = numext::mini<Index>(n, EIGEN_TEST_SPECIFIC_BLOCKING_SIZE_N);
+    return true;
+  }
+#else
+  EIGEN_UNUSED_VARIABLE(k)
+  EIGEN_UNUSED_VARIABLE(m)
+  EIGEN_UNUSED_VARIABLE(n)
+#endif
+  return false;
+}
+
+/** \brief Computes the blocking parameters for a m x k times k x n matrix product
+  *
+  * \param[in,out] k Input: the third dimension of the product. Output: the blocking size along the same dimension.
+  * \param[in,out] m Input: the number of rows of the left hand side. Output: the blocking size along the same dimension.
+  * \param[in,out] n Input: the number of columns of the right hand side. Output: the blocking size along the same dimension.
+  *
+  * Given a m x k times k x n matrix product of scalar types \c LhsScalar and \c RhsScalar,
+  * this function computes the blocking size parameters along the respective dimensions
+  * for matrix products and related algorithms.
+  *
+  * The blocking size parameters may be evaluated:
+  *   - either by a heuristic based on cache sizes;
+  *   - or using fixed prescribed values (for testing purposes).
+  *
+  * \sa setCpuCacheSizes */
+
+template<typename LhsScalar, typename RhsScalar, int KcFactor, typename Index>
+void computeProductBlockingSizes(Index& k, Index& m, Index& n, Index num_threads = 1)
+{
+  if (!useSpecificBlockingSizes(k, m, n)) {
+    evaluateProductBlockingSizesHeuristic<LhsScalar, RhsScalar, KcFactor, Index>(k, m, n, num_threads);
+  }
+}
+
+template<typename LhsScalar, typename RhsScalar, typename Index>
+inline void computeProductBlockingSizes(Index& k, Index& m, Index& n, Index num_threads = 1)
+{
+  computeProductBlockingSizes<LhsScalar,RhsScalar,1,Index>(k, m, n, num_threads);
+}
+
+#ifdef EIGEN_HAS_SINGLE_INSTRUCTION_CJMADD
+  #define CJMADD(CJ,A,B,C,T)  C = CJ.pmadd(A,B,C);
+#else
+
+  // FIXME (a bit overkill maybe ?)
+
+  template<typename CJ, typename A, typename B, typename C, typename T> struct gebp_madd_selector {
+    EIGEN_ALWAYS_INLINE static void run(const CJ& cj, A& a, B& b, C& c, T& /*t*/)
+    {
+      c = cj.pmadd(a,b,c);
+    }
+  };
+
+  template<typename CJ, typename T> struct gebp_madd_selector<CJ,T,T,T,T> {
+    EIGEN_ALWAYS_INLINE static void run(const CJ& cj, T& a, T& b, T& c, T& t)
+    {
+      t = b; t = cj.pmul(a,t); c = padd(c,t);
+    }
+  };
+
+  template<typename CJ, typename A, typename B, typename C, typename T>
+  EIGEN_STRONG_INLINE void gebp_madd(const CJ& cj, A& a, B& b, C& c, T& t)
+  {
+    gebp_madd_selector<CJ,A,B,C,T>::run(cj,a,b,c,t);
+  }
+
+  #define CJMADD(CJ,A,B,C,T)  gebp_madd(CJ,A,B,C,T);
+//   #define CJMADD(CJ,A,B,C,T)  T = B; T = CJ.pmul(A,T); C = padd(C,T);
+#endif
+
+/* Vectorization logic
+ *  real*real: unpack rhs to constant packets, ...
+ * 
+ *  cd*cd : unpack rhs to (b_r,b_r), (b_i,b_i), mul to get (a_r b_r,a_i b_r) (a_r b_i,a_i b_i),
+ *          storing each res packet into two packets (2x2),
+ *          at the end combine them: swap the second and addsub them 
+ *  cf*cf : same but with 2x4 blocks
+ *  cplx*real : unpack rhs to constant packets, ...
+ *  real*cplx : load lhs as (a0,a0,a1,a1), and mul as usual
+ */
+template<typename _LhsScalar, typename _RhsScalar, bool _ConjLhs, bool _ConjRhs>
+class gebp_traits
+{
+public:
+  typedef _LhsScalar LhsScalar;
+  typedef _RhsScalar RhsScalar;
+  typedef typename ScalarBinaryOpTraits<LhsScalar, RhsScalar>::ReturnType ResScalar;
+
+  enum {
+    ConjLhs = _ConjLhs,
+    ConjRhs = _ConjRhs,
+    Vectorizable = packet_traits<LhsScalar>::Vectorizable && packet_traits<RhsScalar>::Vectorizable,
+    LhsPacketSize = Vectorizable ? packet_traits<LhsScalar>::size : 1,
+    RhsPacketSize = Vectorizable ? packet_traits<RhsScalar>::size : 1,
+    ResPacketSize = Vectorizable ? packet_traits<ResScalar>::size : 1,
+    
+    NumberOfRegisters = EIGEN_ARCH_DEFAULT_NUMBER_OF_REGISTERS,
+
+    // register block size along the N direction must be 1 or 4
+    nr = 4,
+
+    // register block size along the M direction (currently, this one cannot be modified)
+    default_mr = (EIGEN_PLAIN_ENUM_MIN(16,NumberOfRegisters)/2/nr)*LhsPacketSize,
+#if defined(EIGEN_HAS_SINGLE_INSTRUCTION_MADD) && !defined(EIGEN_VECTORIZE_ALTIVEC) && !defined(EIGEN_VECTORIZE_VSX)
+    // we assume 16 registers
+    // See bug 992, if the scalar type is not vectorizable but that EIGEN_HAS_SINGLE_INSTRUCTION_MADD is defined,
+    // then using 3*LhsPacketSize triggers non-implemented paths in syrk.
+    mr = Vectorizable ? 3*LhsPacketSize : default_mr,
+#else
+    mr = default_mr,
+#endif
+    
+    LhsProgress = LhsPacketSize,
+    RhsProgress = 1
+  };
+
+  typedef typename packet_traits<LhsScalar>::type  _LhsPacket;
+  typedef typename packet_traits<RhsScalar>::type  _RhsPacket;
+  typedef typename packet_traits<ResScalar>::type  _ResPacket;
+
+  typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
+  typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
+  typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
+
+  typedef ResPacket AccPacket;
+  
+  EIGEN_STRONG_INLINE void initAcc(AccPacket& p)
+  {
+    p = pset1<ResPacket>(ResScalar(0));
+  }
+  
+  EIGEN_STRONG_INLINE void broadcastRhs(const RhsScalar* b, RhsPacket& b0, RhsPacket& b1, RhsPacket& b2, RhsPacket& b3)
+  {
+    pbroadcast4(b, b0, b1, b2, b3);
+  }
+  
+//   EIGEN_STRONG_INLINE void broadcastRhs(const RhsScalar* b, RhsPacket& b0, RhsPacket& b1)
+//   {
+//     pbroadcast2(b, b0, b1);
+//   }
+  
+  template<typename RhsPacketType>
+  EIGEN_STRONG_INLINE void loadRhs(const RhsScalar* b, RhsPacketType& dest) const
+  {
+    dest = pset1<RhsPacketType>(*b);
+  }
+  
+  EIGEN_STRONG_INLINE void loadRhsQuad(const RhsScalar* b, RhsPacket& dest) const
+  {
+    dest = ploadquad<RhsPacket>(b);
+  }
+
+  template<typename LhsPacketType>
+  EIGEN_STRONG_INLINE void loadLhs(const LhsScalar* a, LhsPacketType& dest) const
+  {
+    dest = pload<LhsPacketType>(a);
+  }
+
+  template<typename LhsPacketType>
+  EIGEN_STRONG_INLINE void loadLhsUnaligned(const LhsScalar* a, LhsPacketType& dest) const
+  {
+    dest = ploadu<LhsPacketType>(a);
+  }
+
+  template<typename LhsPacketType, typename RhsPacketType, typename AccPacketType>
+  EIGEN_STRONG_INLINE void madd(const LhsPacketType& a, const RhsPacketType& b, AccPacketType& c, AccPacketType& tmp) const
+  {
+    conj_helper<LhsPacketType,RhsPacketType,ConjLhs,ConjRhs> cj;
+    // It would be a lot cleaner to call pmadd all the time. Unfortunately if we
+    // let gcc allocate the register in which to store the result of the pmul
+    // (in the case where there is no FMA) gcc fails to figure out how to avoid
+    // spilling register.
+#ifdef EIGEN_HAS_SINGLE_INSTRUCTION_MADD
+    EIGEN_UNUSED_VARIABLE(tmp);
+    c = cj.pmadd(a,b,c);
+#else
+    tmp = b; tmp = cj.pmul(a,tmp); c = padd(c,tmp);
+#endif
+  }
+
+  EIGEN_STRONG_INLINE void acc(const AccPacket& c, const ResPacket& alpha, ResPacket& r) const
+  {
+    r = pmadd(c,alpha,r);
+  }
+  
+  template<typename ResPacketHalf>
+  EIGEN_STRONG_INLINE void acc(const ResPacketHalf& c, const ResPacketHalf& alpha, ResPacketHalf& r) const
+  {
+    r = pmadd(c,alpha,r);
+  }
+
+};
+
+template<typename RealScalar, bool _ConjLhs>
+class gebp_traits<std::complex<RealScalar>, RealScalar, _ConjLhs, false>
+{
+public:
+  typedef std::complex<RealScalar> LhsScalar;
+  typedef RealScalar RhsScalar;
+  typedef typename ScalarBinaryOpTraits<LhsScalar, RhsScalar>::ReturnType ResScalar;
+
+  enum {
+    ConjLhs = _ConjLhs,
+    ConjRhs = false,
+    Vectorizable = packet_traits<LhsScalar>::Vectorizable && packet_traits<RhsScalar>::Vectorizable,
+    LhsPacketSize = Vectorizable ? packet_traits<LhsScalar>::size : 1,
+    RhsPacketSize = Vectorizable ? packet_traits<RhsScalar>::size : 1,
+    ResPacketSize = Vectorizable ? packet_traits<ResScalar>::size : 1,
+    
+    NumberOfRegisters = EIGEN_ARCH_DEFAULT_NUMBER_OF_REGISTERS,
+    nr = 4,
+#if defined(EIGEN_HAS_SINGLE_INSTRUCTION_MADD) && !defined(EIGEN_VECTORIZE_ALTIVEC) && !defined(EIGEN_VECTORIZE_VSX)
+    // we assume 16 registers
+    mr = 3*LhsPacketSize,
+#else
+    mr = (EIGEN_PLAIN_ENUM_MIN(16,NumberOfRegisters)/2/nr)*LhsPacketSize,
+#endif
+
+    LhsProgress = LhsPacketSize,
+    RhsProgress = 1
+  };
+
+  typedef typename packet_traits<LhsScalar>::type  _LhsPacket;
+  typedef typename packet_traits<RhsScalar>::type  _RhsPacket;
+  typedef typename packet_traits<ResScalar>::type  _ResPacket;
+
+  typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
+  typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
+  typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
+
+  typedef ResPacket AccPacket;
+
+  EIGEN_STRONG_INLINE void initAcc(AccPacket& p)
+  {
+    p = pset1<ResPacket>(ResScalar(0));
+  }
+
+  EIGEN_STRONG_INLINE void loadRhs(const RhsScalar* b, RhsPacket& dest) const
+  {
+    dest = pset1<RhsPacket>(*b);
+  }
+  
+  EIGEN_STRONG_INLINE void loadRhsQuad(const RhsScalar* b, RhsPacket& dest) const
+  {
+    dest = pset1<RhsPacket>(*b);
+  }
+
+  EIGEN_STRONG_INLINE void loadLhs(const LhsScalar* a, LhsPacket& dest) const
+  {
+    dest = pload<LhsPacket>(a);
+  }
+
+  EIGEN_STRONG_INLINE void loadLhsUnaligned(const LhsScalar* a, LhsPacket& dest) const
+  {
+    dest = ploadu<LhsPacket>(a);
+  }
+
+  EIGEN_STRONG_INLINE void broadcastRhs(const RhsScalar* b, RhsPacket& b0, RhsPacket& b1, RhsPacket& b2, RhsPacket& b3)
+  {
+    pbroadcast4(b, b0, b1, b2, b3);
+  }
+  
+//   EIGEN_STRONG_INLINE void broadcastRhs(const RhsScalar* b, RhsPacket& b0, RhsPacket& b1)
+//   {
+//     pbroadcast2(b, b0, b1);
+//   }
+
+  EIGEN_STRONG_INLINE void madd(const LhsPacket& a, const RhsPacket& b, AccPacket& c, RhsPacket& tmp) const
+  {
+    madd_impl(a, b, c, tmp, typename conditional<Vectorizable,true_type,false_type>::type());
+  }
+
+  EIGEN_STRONG_INLINE void madd_impl(const LhsPacket& a, const RhsPacket& b, AccPacket& c, RhsPacket& tmp, const true_type&) const
+  {
+#ifdef EIGEN_HAS_SINGLE_INSTRUCTION_MADD
+    EIGEN_UNUSED_VARIABLE(tmp);
+    c.v = pmadd(a.v,b,c.v);
+#else
+    tmp = b; tmp = pmul(a.v,tmp); c.v = padd(c.v,tmp);
+#endif
+  }
+
+  EIGEN_STRONG_INLINE void madd_impl(const LhsScalar& a, const RhsScalar& b, ResScalar& c, RhsScalar& /*tmp*/, const false_type&) const
+  {
+    c += a * b;
+  }
+
+  EIGEN_STRONG_INLINE void acc(const AccPacket& c, const ResPacket& alpha, ResPacket& r) const
+  {
+    r = cj.pmadd(c,alpha,r);
+  }
+
+protected:
+  conj_helper<ResPacket,ResPacket,ConjLhs,false> cj;
+};
+
+template<typename Packet>
+struct DoublePacket
+{
+  Packet first;
+  Packet second;
+};
+
+template<typename Packet>
+DoublePacket<Packet> padd(const DoublePacket<Packet> &a, const DoublePacket<Packet> &b)
+{
+  DoublePacket<Packet> res;
+  res.first  = padd(a.first, b.first);
+  res.second = padd(a.second,b.second);
+  return res;
+}
+
+template<typename Packet>
+const DoublePacket<Packet>& predux_downto4(const DoublePacket<Packet> &a)
+{
+  return a;
+}
+
+template<typename Packet> struct unpacket_traits<DoublePacket<Packet> > { typedef DoublePacket<Packet> half; };
+// template<typename Packet>
+// DoublePacket<Packet> pmadd(const DoublePacket<Packet> &a, const DoublePacket<Packet> &b)
+// {
+//   DoublePacket<Packet> res;
+//   res.first  = padd(a.first, b.first);
+//   res.second = padd(a.second,b.second);
+//   return res;
+// }
+
+template<typename RealScalar, bool _ConjLhs, bool _ConjRhs>
+class gebp_traits<std::complex<RealScalar>, std::complex<RealScalar>, _ConjLhs, _ConjRhs >
+{
+public:
+  typedef std::complex<RealScalar>  Scalar;
+  typedef std::complex<RealScalar>  LhsScalar;
+  typedef std::complex<RealScalar>  RhsScalar;
+  typedef std::complex<RealScalar>  ResScalar;
+  
+  enum {
+    ConjLhs = _ConjLhs,
+    ConjRhs = _ConjRhs,
+    Vectorizable = packet_traits<RealScalar>::Vectorizable
+                && packet_traits<Scalar>::Vectorizable,
+    RealPacketSize  = Vectorizable ? packet_traits<RealScalar>::size : 1,
+    ResPacketSize   = Vectorizable ? packet_traits<ResScalar>::size : 1,
+    LhsPacketSize = Vectorizable ? packet_traits<LhsScalar>::size : 1,
+    RhsPacketSize = Vectorizable ? packet_traits<RhsScalar>::size : 1,
+
+    // FIXME: should depend on NumberOfRegisters
+    nr = 4,
+    mr = ResPacketSize,
+
+    LhsProgress = ResPacketSize,
+    RhsProgress = 1
+  };
+  
+  typedef typename packet_traits<RealScalar>::type RealPacket;
+  typedef typename packet_traits<Scalar>::type     ScalarPacket;
+  typedef DoublePacket<RealPacket> DoublePacketType;
+
+  typedef typename conditional<Vectorizable,RealPacket,  Scalar>::type LhsPacket;
+  typedef typename conditional<Vectorizable,DoublePacketType,Scalar>::type RhsPacket;
+  typedef typename conditional<Vectorizable,ScalarPacket,Scalar>::type ResPacket;
+  typedef typename conditional<Vectorizable,DoublePacketType,Scalar>::type AccPacket;
+  
+  EIGEN_STRONG_INLINE void initAcc(Scalar& p) { p = Scalar(0); }
+
+  EIGEN_STRONG_INLINE void initAcc(DoublePacketType& p)
+  {
+    p.first   = pset1<RealPacket>(RealScalar(0));
+    p.second  = pset1<RealPacket>(RealScalar(0));
+  }
+
+  // Scalar path
+  EIGEN_STRONG_INLINE void loadRhs(const RhsScalar* b, ResPacket& dest) const
+  {
+    dest = pset1<ResPacket>(*b);
+  }
+
+  // Vectorized path
+  EIGEN_STRONG_INLINE void loadRhs(const RhsScalar* b, DoublePacketType& dest) const
+  {
+    dest.first  = pset1<RealPacket>(numext::real(*b));
+    dest.second = pset1<RealPacket>(numext::imag(*b));
+  }
+  
+  EIGEN_STRONG_INLINE void loadRhsQuad(const RhsScalar* b, ResPacket& dest) const
+  {
+    loadRhs(b,dest);
+  }
+  EIGEN_STRONG_INLINE void loadRhsQuad(const RhsScalar* b, DoublePacketType& dest) const
+  {
+    eigen_internal_assert(unpacket_traits<ScalarPacket>::size<=4);
+    loadRhs(b,dest);
+  }
+  
+  EIGEN_STRONG_INLINE void broadcastRhs(const RhsScalar* b, RhsPacket& b0, RhsPacket& b1, RhsPacket& b2, RhsPacket& b3)
+  {
+    // FIXME not sure that's the best way to implement it!
+    loadRhs(b+0, b0);
+    loadRhs(b+1, b1);
+    loadRhs(b+2, b2);
+    loadRhs(b+3, b3);
+  }
+  
+  // Vectorized path
+  EIGEN_STRONG_INLINE void broadcastRhs(const RhsScalar* b, DoublePacketType& b0, DoublePacketType& b1)
+  {
+    // FIXME not sure that's the best way to implement it!
+    loadRhs(b+0, b0);
+    loadRhs(b+1, b1);
+  }
+  
+  // Scalar path
+  EIGEN_STRONG_INLINE void broadcastRhs(const RhsScalar* b, RhsScalar& b0, RhsScalar& b1)
+  {
+    // FIXME not sure that's the best way to implement it!
+    loadRhs(b+0, b0);
+    loadRhs(b+1, b1);
+  }
+
+  // nothing special here
+  EIGEN_STRONG_INLINE void loadLhs(const LhsScalar* a, LhsPacket& dest) const
+  {
+    dest = pload<LhsPacket>((const typename unpacket_traits<LhsPacket>::type*)(a));
+  }
+
+  EIGEN_STRONG_INLINE void loadLhsUnaligned(const LhsScalar* a, LhsPacket& dest) const
+  {
+    dest = ploadu<LhsPacket>((const typename unpacket_traits<LhsPacket>::type*)(a));
+  }
+
+  EIGEN_STRONG_INLINE void madd(const LhsPacket& a, const RhsPacket& b, DoublePacketType& c, RhsPacket& /*tmp*/) const
+  {
+    c.first   = padd(pmul(a,b.first), c.first);
+    c.second  = padd(pmul(a,b.second),c.second);
+  }
+
+  EIGEN_STRONG_INLINE void madd(const LhsPacket& a, const RhsPacket& b, ResPacket& c, RhsPacket& /*tmp*/) const
+  {
+    c = cj.pmadd(a,b,c);
+  }
+  
+  EIGEN_STRONG_INLINE void acc(const Scalar& c, const Scalar& alpha, Scalar& r) const { r += alpha * c; }
+  
+  EIGEN_STRONG_INLINE void acc(const DoublePacketType& c, const ResPacket& alpha, ResPacket& r) const
+  {
+    // assemble c
+    ResPacket tmp;
+    if((!ConjLhs)&&(!ConjRhs))
+    {
+      tmp = pcplxflip(pconj(ResPacket(c.second)));
+      tmp = padd(ResPacket(c.first),tmp);
+    }
+    else if((!ConjLhs)&&(ConjRhs))
+    {
+      tmp = pconj(pcplxflip(ResPacket(c.second)));
+      tmp = padd(ResPacket(c.first),tmp);
+    }
+    else if((ConjLhs)&&(!ConjRhs))
+    {
+      tmp = pcplxflip(ResPacket(c.second));
+      tmp = padd(pconj(ResPacket(c.first)),tmp);
+    }
+    else if((ConjLhs)&&(ConjRhs))
+    {
+      tmp = pcplxflip(ResPacket(c.second));
+      tmp = psub(pconj(ResPacket(c.first)),tmp);
+    }
+    
+    r = pmadd(tmp,alpha,r);
+  }
+
+protected:
+  conj_helper<LhsScalar,RhsScalar,ConjLhs,ConjRhs> cj;
+};
+
+template<typename RealScalar, bool _ConjRhs>
+class gebp_traits<RealScalar, std::complex<RealScalar>, false, _ConjRhs >
+{
+public:
+  typedef std::complex<RealScalar>  Scalar;
+  typedef RealScalar  LhsScalar;
+  typedef Scalar      RhsScalar;
+  typedef Scalar      ResScalar;
+
+  enum {
+    ConjLhs = false,
+    ConjRhs = _ConjRhs,
+    Vectorizable = packet_traits<RealScalar>::Vectorizable
+                && packet_traits<Scalar>::Vectorizable,
+    LhsPacketSize = Vectorizable ? packet_traits<LhsScalar>::size : 1,
+    RhsPacketSize = Vectorizable ? packet_traits<RhsScalar>::size : 1,
+    ResPacketSize = Vectorizable ? packet_traits<ResScalar>::size : 1,
+    
+    NumberOfRegisters = EIGEN_ARCH_DEFAULT_NUMBER_OF_REGISTERS,
+    // FIXME: should depend on NumberOfRegisters
+    nr = 4,
+    mr = (EIGEN_PLAIN_ENUM_MIN(16,NumberOfRegisters)/2/nr)*ResPacketSize,
+
+    LhsProgress = ResPacketSize,
+    RhsProgress = 1
+  };
+
+  typedef typename packet_traits<LhsScalar>::type  _LhsPacket;
+  typedef typename packet_traits<RhsScalar>::type  _RhsPacket;
+  typedef typename packet_traits<ResScalar>::type  _ResPacket;
+
+  typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
+  typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
+  typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
+
+  typedef ResPacket AccPacket;
+
+  EIGEN_STRONG_INLINE void initAcc(AccPacket& p)
+  {
+    p = pset1<ResPacket>(ResScalar(0));
+  }
+
+  EIGEN_STRONG_INLINE void loadRhs(const RhsScalar* b, RhsPacket& dest) const
+  {
+    dest = pset1<RhsPacket>(*b);
+  }
+  
+  void broadcastRhs(const RhsScalar* b, RhsPacket& b0, RhsPacket& b1, RhsPacket& b2, RhsPacket& b3)
+  {
+    pbroadcast4(b, b0, b1, b2, b3);
+  }
+  
+//   EIGEN_STRONG_INLINE void broadcastRhs(const RhsScalar* b, RhsPacket& b0, RhsPacket& b1)
+//   {
+//     // FIXME not sure that's the best way to implement it!
+//     b0 = pload1<RhsPacket>(b+0);
+//     b1 = pload1<RhsPacket>(b+1);
+//   }
+
+  EIGEN_STRONG_INLINE void loadLhs(const LhsScalar* a, LhsPacket& dest) const
+  {
+    dest = ploaddup<LhsPacket>(a);
+  }
+  
+  EIGEN_STRONG_INLINE void loadRhsQuad(const RhsScalar* b, RhsPacket& dest) const
+  {
+    eigen_internal_assert(unpacket_traits<RhsPacket>::size<=4);
+    loadRhs(b,dest);
+  }
+
+  EIGEN_STRONG_INLINE void loadLhsUnaligned(const LhsScalar* a, LhsPacket& dest) const
+  {
+    dest = ploaddup<LhsPacket>(a);
+  }
+
+  EIGEN_STRONG_INLINE void madd(const LhsPacket& a, const RhsPacket& b, AccPacket& c, RhsPacket& tmp) const
+  {
+    madd_impl(a, b, c, tmp, typename conditional<Vectorizable,true_type,false_type>::type());
+  }
+
+  EIGEN_STRONG_INLINE void madd_impl(const LhsPacket& a, const RhsPacket& b, AccPacket& c, RhsPacket& tmp, const true_type&) const
+  {
+#ifdef EIGEN_HAS_SINGLE_INSTRUCTION_MADD
+    EIGEN_UNUSED_VARIABLE(tmp);
+    c.v = pmadd(a,b.v,c.v);
+#else
+    tmp = b; tmp.v = pmul(a,tmp.v); c = padd(c,tmp);
+#endif
+    
+  }
+
+  EIGEN_STRONG_INLINE void madd_impl(const LhsScalar& a, const RhsScalar& b, ResScalar& c, RhsScalar& /*tmp*/, const false_type&) const
+  {
+    c += a * b;
+  }
+
+  EIGEN_STRONG_INLINE void acc(const AccPacket& c, const ResPacket& alpha, ResPacket& r) const
+  {
+    r = cj.pmadd(alpha,c,r);
+  }
+
+protected:
+  conj_helper<ResPacket,ResPacket,false,ConjRhs> cj;
+};
+
+/* optimized GEneral packed Block * packed Panel product kernel
+ *
+ * Mixing type logic: C += A * B
+ *  |  A  |  B  | comments
+ *  |real |cplx | no vectorization yet, would require to pack A with duplication
+ *  |cplx |real | easy vectorization
+ */
+template<typename LhsScalar, typename RhsScalar, typename Index, typename DataMapper, int mr, int nr, bool ConjugateLhs, bool ConjugateRhs>
+struct gebp_kernel
+{
+  typedef gebp_traits<LhsScalar,RhsScalar,ConjugateLhs,ConjugateRhs> Traits;
+  typedef typename Traits::ResScalar ResScalar;
+  typedef typename Traits::LhsPacket LhsPacket;
+  typedef typename Traits::RhsPacket RhsPacket;
+  typedef typename Traits::ResPacket ResPacket;
+  typedef typename Traits::AccPacket AccPacket;
+
+  typedef gebp_traits<RhsScalar,LhsScalar,ConjugateRhs,ConjugateLhs> SwappedTraits;
+  typedef typename SwappedTraits::ResScalar SResScalar;
+  typedef typename SwappedTraits::LhsPacket SLhsPacket;
+  typedef typename SwappedTraits::RhsPacket SRhsPacket;
+  typedef typename SwappedTraits::ResPacket SResPacket;
+  typedef typename SwappedTraits::AccPacket SAccPacket;
+
+  typedef typename DataMapper::LinearMapper LinearMapper;
+
+  enum {
+    Vectorizable  = Traits::Vectorizable,
+    LhsProgress   = Traits::LhsProgress,
+    RhsProgress   = Traits::RhsProgress,
+    ResPacketSize = Traits::ResPacketSize
+  };
+
+  EIGEN_DONT_INLINE
+  void operator()(const DataMapper& res, const LhsScalar* blockA, const RhsScalar* blockB,
+                  Index rows, Index depth, Index cols, ResScalar alpha,
+                  Index strideA=-1, Index strideB=-1, Index offsetA=0, Index offsetB=0);
+};
+
+template<typename LhsScalar, typename RhsScalar, typename Index, typename DataMapper, int mr, int nr, bool ConjugateLhs, bool ConjugateRhs>
+EIGEN_DONT_INLINE
+void gebp_kernel<LhsScalar,RhsScalar,Index,DataMapper,mr,nr,ConjugateLhs,ConjugateRhs>
+  ::operator()(const DataMapper& res, const LhsScalar* blockA, const RhsScalar* blockB,
+               Index rows, Index depth, Index cols, ResScalar alpha,
+               Index strideA, Index strideB, Index offsetA, Index offsetB)
+  {
+    Traits traits;
+    SwappedTraits straits;
+    
+    if(strideA==-1) strideA = depth;
+    if(strideB==-1) strideB = depth;
+    conj_helper<LhsScalar,RhsScalar,ConjugateLhs,ConjugateRhs> cj;
+    Index packet_cols4 = nr>=4 ? (cols/4) * 4 : 0;
+    const Index peeled_mc3 = mr>=3*Traits::LhsProgress ? (rows/(3*LhsProgress))*(3*LhsProgress) : 0;
+    const Index peeled_mc2 = mr>=2*Traits::LhsProgress ? peeled_mc3+((rows-peeled_mc3)/(2*LhsProgress))*(2*LhsProgress) : 0;
+    const Index peeled_mc1 = mr>=1*Traits::LhsProgress ? (rows/(1*LhsProgress))*(1*LhsProgress) : 0;
+    enum { pk = 8 }; // NOTE Such a large peeling factor is important for large matrices (~ +5% when >1000 on Haswell)
+    const Index peeled_kc  = depth & ~(pk-1);
+    const Index prefetch_res_offset = 32/sizeof(ResScalar);    
+//     const Index depth2     = depth & ~1;
+
+    //---------- Process 3 * LhsProgress rows at once ----------
+    // This corresponds to 3*LhsProgress x nr register blocks.
+    // Usually, make sense only with FMA
+    if(mr>=3*Traits::LhsProgress)
+    {
+      // Here, the general idea is to loop on each largest micro horizontal panel of the lhs (3*Traits::LhsProgress x depth)
+      // and on each largest micro vertical panel of the rhs (depth * nr).
+      // Blocking sizes, i.e., 'depth' has been computed so that the micro horizontal panel of the lhs fit in L1.
+      // However, if depth is too small, we can extend the number of rows of these horizontal panels.
+      // This actual number of rows is computed as follow:
+      const Index l1 = defaultL1CacheSize; // in Bytes, TODO, l1 should be passed to this function.
+      // The max(1, ...) here is needed because we may be using blocking params larger than what our known l1 cache size
+      // suggests we should be using: either because our known l1 cache size is inaccurate (e.g. on Android, we can only guess),
+      // or because we are testing specific blocking sizes.
+      const Index actual_panel_rows = (3*LhsProgress) * std::max<Index>(1,( (l1 - sizeof(ResScalar)*mr*nr - depth*nr*sizeof(RhsScalar)) / (depth * sizeof(LhsScalar) * 3*LhsProgress) ));
+      for(Index i1=0; i1<peeled_mc3; i1+=actual_panel_rows)
+      {
+        const Index actual_panel_end = (std::min)(i1+actual_panel_rows, peeled_mc3);
+        for(Index j2=0; j2<packet_cols4; j2+=nr)
+        {
+          for(Index i=i1; i<actual_panel_end; i+=3*LhsProgress)
+          {
+          
+          // We selected a 3*Traits::LhsProgress x nr micro block of res which is entirely
+          // stored into 3 x nr registers.
+          
+          const LhsScalar* blA = &blockA[i*strideA+offsetA*(3*LhsProgress)];
+          prefetch(&blA[0]);
+
+          // gets res block as register
+          AccPacket C0, C1, C2,  C3,
+                    C4, C5, C6,  C7,
+                    C8, C9, C10, C11;
+          traits.initAcc(C0);  traits.initAcc(C1);  traits.initAcc(C2);  traits.initAcc(C3);
+          traits.initAcc(C4);  traits.initAcc(C5);  traits.initAcc(C6);  traits.initAcc(C7);
+          traits.initAcc(C8);  traits.initAcc(C9);  traits.initAcc(C10); traits.initAcc(C11);
+
+          LinearMapper r0 = res.getLinearMapper(i, j2 + 0);
+          LinearMapper r1 = res.getLinearMapper(i, j2 + 1);
+          LinearMapper r2 = res.getLinearMapper(i, j2 + 2);
+          LinearMapper r3 = res.getLinearMapper(i, j2 + 3);
+
+          r0.prefetch(0);
+          r1.prefetch(0);
+          r2.prefetch(0);
+          r3.prefetch(0);
+
+          // performs "inner" products
+          const RhsScalar* blB = &blockB[j2*strideB+offsetB*nr];
+          prefetch(&blB[0]);
+          LhsPacket A0, A1;
+
+          for(Index k=0; k<peeled_kc; k+=pk)
+          {
+            EIGEN_ASM_COMMENT("begin gebp micro kernel 3pX4");
+            RhsPacket B_0, T0;
+            LhsPacket A2;
+
+#define EIGEN_GEBP_ONESTEP(K) \
+            do { \
+              EIGEN_ASM_COMMENT("begin step of gebp micro kernel 3pX4"); \
+              EIGEN_ASM_COMMENT("Note: these asm comments work around bug 935!"); \
+              internal::prefetch(blA+(3*K+16)*LhsProgress); \
+              if (EIGEN_ARCH_ARM) { internal::prefetch(blB+(4*K+16)*RhsProgress); } /* Bug 953 */ \
+              traits.loadLhs(&blA[(0+3*K)*LhsProgress], A0);  \
+              traits.loadLhs(&blA[(1+3*K)*LhsProgress], A1);  \
+              traits.loadLhs(&blA[(2+3*K)*LhsProgress], A2);  \
+              traits.loadRhs(blB + (0+4*K)*Traits::RhsProgress, B_0); \
+              traits.madd(A0, B_0, C0, T0); \
+              traits.madd(A1, B_0, C4, T0); \
+              traits.madd(A2, B_0, C8, B_0); \
+              traits.loadRhs(blB + (1+4*K)*Traits::RhsProgress, B_0); \
+              traits.madd(A0, B_0, C1, T0); \
+              traits.madd(A1, B_0, C5, T0); \
+              traits.madd(A2, B_0, C9, B_0); \
+              traits.loadRhs(blB + (2+4*K)*Traits::RhsProgress, B_0); \
+              traits.madd(A0, B_0, C2,  T0); \
+              traits.madd(A1, B_0, C6,  T0); \
+              traits.madd(A2, B_0, C10, B_0); \
+              traits.loadRhs(blB + (3+4*K)*Traits::RhsProgress, B_0); \
+              traits.madd(A0, B_0, C3 , T0); \
+              traits.madd(A1, B_0, C7,  T0); \
+              traits.madd(A2, B_0, C11, B_0); \
+              EIGEN_ASM_COMMENT("end step of gebp micro kernel 3pX4"); \
+            } while(false)
+
+            internal::prefetch(blB);
+            EIGEN_GEBP_ONESTEP(0);
+            EIGEN_GEBP_ONESTEP(1);
+            EIGEN_GEBP_ONESTEP(2);
+            EIGEN_GEBP_ONESTEP(3);
+            EIGEN_GEBP_ONESTEP(4);
+            EIGEN_GEBP_ONESTEP(5);
+            EIGEN_GEBP_ONESTEP(6);
+            EIGEN_GEBP_ONESTEP(7);
+
+            blB += pk*4*RhsProgress;
+            blA += pk*3*Traits::LhsProgress;
+
+            EIGEN_ASM_COMMENT("end gebp micro kernel 3pX4");
+          }
+          // process remaining peeled loop
+          for(Index k=peeled_kc; k<depth; k++)
+          {
+            RhsPacket B_0, T0;
+            LhsPacket A2;
+            EIGEN_GEBP_ONESTEP(0);
+            blB += 4*RhsProgress;
+            blA += 3*Traits::LhsProgress;
+          }
+
+#undef EIGEN_GEBP_ONESTEP
+
+          ResPacket R0, R1, R2;
+          ResPacket alphav = pset1<ResPacket>(alpha);
+
+          R0 = r0.loadPacket(0 * Traits::ResPacketSize);
+          R1 = r0.loadPacket(1 * Traits::ResPacketSize);
+          R2 = r0.loadPacket(2 * Traits::ResPacketSize);
+          traits.acc(C0, alphav, R0);
+          traits.acc(C4, alphav, R1);
+          traits.acc(C8, alphav, R2);
+          r0.storePacket(0 * Traits::ResPacketSize, R0);
+          r0.storePacket(1 * Traits::ResPacketSize, R1);
+          r0.storePacket(2 * Traits::ResPacketSize, R2);
+
+          R0 = r1.loadPacket(0 * Traits::ResPacketSize);
+          R1 = r1.loadPacket(1 * Traits::ResPacketSize);
+          R2 = r1.loadPacket(2 * Traits::ResPacketSize);
+          traits.acc(C1, alphav, R0);
+          traits.acc(C5, alphav, R1);
+          traits.acc(C9, alphav, R2);
+          r1.storePacket(0 * Traits::ResPacketSize, R0);
+          r1.storePacket(1 * Traits::ResPacketSize, R1);
+          r1.storePacket(2 * Traits::ResPacketSize, R2);
+
+          R0 = r2.loadPacket(0 * Traits::ResPacketSize);
+          R1 = r2.loadPacket(1 * Traits::ResPacketSize);
+          R2 = r2.loadPacket(2 * Traits::ResPacketSize);
+          traits.acc(C2, alphav, R0);
+          traits.acc(C6, alphav, R1);
+          traits.acc(C10, alphav, R2);
+          r2.storePacket(0 * Traits::ResPacketSize, R0);
+          r2.storePacket(1 * Traits::ResPacketSize, R1);
+          r2.storePacket(2 * Traits::ResPacketSize, R2);
+
+          R0 = r3.loadPacket(0 * Traits::ResPacketSize);
+          R1 = r3.loadPacket(1 * Traits::ResPacketSize);
+          R2 = r3.loadPacket(2 * Traits::ResPacketSize);
+          traits.acc(C3, alphav, R0);
+          traits.acc(C7, alphav, R1);
+          traits.acc(C11, alphav, R2);
+          r3.storePacket(0 * Traits::ResPacketSize, R0);
+          r3.storePacket(1 * Traits::ResPacketSize, R1);
+          r3.storePacket(2 * Traits::ResPacketSize, R2);          
+          }
+        }
+
+        // Deal with remaining columns of the rhs
+        for(Index j2=packet_cols4; j2<cols; j2++)
+        {
+          for(Index i=i1; i<actual_panel_end; i+=3*LhsProgress)
+          {
+          // One column at a time
+          const LhsScalar* blA = &blockA[i*strideA+offsetA*(3*Traits::LhsProgress)];
+          prefetch(&blA[0]);
+
+          // gets res block as register
+          AccPacket C0, C4, C8;
+          traits.initAcc(C0);
+          traits.initAcc(C4);
+          traits.initAcc(C8);
+
+          LinearMapper r0 = res.getLinearMapper(i, j2);
+          r0.prefetch(0);
+
+          // performs "inner" products
+          const RhsScalar* blB = &blockB[j2*strideB+offsetB];
+          LhsPacket A0, A1, A2;
+          
+          for(Index k=0; k<peeled_kc; k+=pk)
+          {
+            EIGEN_ASM_COMMENT("begin gebp micro kernel 3pX1");
+            RhsPacket B_0;
+#define EIGEN_GEBGP_ONESTEP(K) \
+            do { \
+              EIGEN_ASM_COMMENT("begin step of gebp micro kernel 3pX1"); \
+              EIGEN_ASM_COMMENT("Note: these asm comments work around bug 935!"); \
+              traits.loadLhs(&blA[(0+3*K)*LhsProgress], A0);  \
+              traits.loadLhs(&blA[(1+3*K)*LhsProgress], A1);  \
+              traits.loadLhs(&blA[(2+3*K)*LhsProgress], A2);  \
+              traits.loadRhs(&blB[(0+K)*RhsProgress], B_0);   \
+              traits.madd(A0, B_0, C0, B_0); \
+              traits.madd(A1, B_0, C4, B_0); \
+              traits.madd(A2, B_0, C8, B_0); \
+              EIGEN_ASM_COMMENT("end step of gebp micro kernel 3pX1"); \
+            } while(false)
+        
+            EIGEN_GEBGP_ONESTEP(0);
+            EIGEN_GEBGP_ONESTEP(1);
+            EIGEN_GEBGP_ONESTEP(2);
+            EIGEN_GEBGP_ONESTEP(3);
+            EIGEN_GEBGP_ONESTEP(4);
+            EIGEN_GEBGP_ONESTEP(5);
+            EIGEN_GEBGP_ONESTEP(6);
+            EIGEN_GEBGP_ONESTEP(7);
+
+            blB += pk*RhsProgress;
+            blA += pk*3*Traits::LhsProgress;
+
+            EIGEN_ASM_COMMENT("end gebp micro kernel 3pX1");
+          }
+
+          // process remaining peeled loop
+          for(Index k=peeled_kc; k<depth; k++)
+          {
+            RhsPacket B_0;
+            EIGEN_GEBGP_ONESTEP(0);
+            blB += RhsProgress;
+            blA += 3*Traits::LhsProgress;
+          }
+#undef EIGEN_GEBGP_ONESTEP
+          ResPacket R0, R1, R2;
+          ResPacket alphav = pset1<ResPacket>(alpha);
+
+          R0 = r0.loadPacket(0 * Traits::ResPacketSize);
+          R1 = r0.loadPacket(1 * Traits::ResPacketSize);
+          R2 = r0.loadPacket(2 * Traits::ResPacketSize);
+          traits.acc(C0, alphav, R0);
+          traits.acc(C4, alphav, R1);
+          traits.acc(C8, alphav, R2);
+          r0.storePacket(0 * Traits::ResPacketSize, R0);
+          r0.storePacket(1 * Traits::ResPacketSize, R1);
+          r0.storePacket(2 * Traits::ResPacketSize, R2);          
+          }
+        }
+      }
+    }
+
+    //---------- Process 2 * LhsProgress rows at once ----------
+    if(mr>=2*Traits::LhsProgress)
+    {
+      const Index l1 = defaultL1CacheSize; // in Bytes, TODO, l1 should be passed to this function.
+      // The max(1, ...) here is needed because we may be using blocking params larger than what our known l1 cache size
+      // suggests we should be using: either because our known l1 cache size is inaccurate (e.g. on Android, we can only guess),
+      // or because we are testing specific blocking sizes.
+      Index actual_panel_rows = (2*LhsProgress) * std::max<Index>(1,( (l1 - sizeof(ResScalar)*mr*nr - depth*nr*sizeof(RhsScalar)) / (depth * sizeof(LhsScalar) * 2*LhsProgress) ));
+
+      for(Index i1=peeled_mc3; i1<peeled_mc2; i1+=actual_panel_rows)
+      {
+        Index actual_panel_end = (std::min)(i1+actual_panel_rows, peeled_mc2);
+        for(Index j2=0; j2<packet_cols4; j2+=nr)
+        {
+          for(Index i=i1; i<actual_panel_end; i+=2*LhsProgress)
+          {
+          
+          // We selected a 2*Traits::LhsProgress x nr micro block of res which is entirely
+          // stored into 2 x nr registers.
+          
+          const LhsScalar* blA = &blockA[i*strideA+offsetA*(2*Traits::LhsProgress)];
+          prefetch(&blA[0]);
+
+          // gets res block as register
+          AccPacket C0, C1, C2, C3,
+                    C4, C5, C6, C7;
+          traits.initAcc(C0); traits.initAcc(C1); traits.initAcc(C2); traits.initAcc(C3);
+          traits.initAcc(C4); traits.initAcc(C5); traits.initAcc(C6); traits.initAcc(C7);
+
+          LinearMapper r0 = res.getLinearMapper(i, j2 + 0);
+          LinearMapper r1 = res.getLinearMapper(i, j2 + 1);
+          LinearMapper r2 = res.getLinearMapper(i, j2 + 2);
+          LinearMapper r3 = res.getLinearMapper(i, j2 + 3);
+
+          r0.prefetch(prefetch_res_offset);
+          r1.prefetch(prefetch_res_offset);
+          r2.prefetch(prefetch_res_offset);
+          r3.prefetch(prefetch_res_offset);
+
+          // performs "inner" products
+          const RhsScalar* blB = &blockB[j2*strideB+offsetB*nr];
+          prefetch(&blB[0]);
+          LhsPacket A0, A1;
+
+          for(Index k=0; k<peeled_kc; k+=pk)
+          {
+            EIGEN_ASM_COMMENT("begin gebp micro kernel 2pX4");
+            RhsPacket B_0, B1, B2, B3, T0;
+
+          // NOTE: the begin/end asm comments below work around bug 935!
+          // but they are not enough for gcc>=6 without FMA (bug 1637)
+          #if EIGEN_GNUC_AT_LEAST(6,0) && defined(EIGEN_VECTORIZE_SSE)
+            #define EIGEN_GEBP_2PX4_SPILLING_WORKAROUND __asm__  ("" : [a0] "+x,m" (A0),[a1] "+x,m" (A1));
+          #else
+            #define EIGEN_GEBP_2PX4_SPILLING_WORKAROUND
+          #endif
+          #define EIGEN_GEBGP_ONESTEP(K) \
+            do {                                                                \
+              EIGEN_ASM_COMMENT("begin step of gebp micro kernel 2pX4");        \
+              traits.loadLhs(&blA[(0+2*K)*LhsProgress], A0);                    \
+              traits.loadLhs(&blA[(1+2*K)*LhsProgress], A1);                    \
+              traits.broadcastRhs(&blB[(0+4*K)*RhsProgress], B_0, B1, B2, B3);  \
+              traits.madd(A0, B_0, C0, T0);                                     \
+              traits.madd(A1, B_0, C4, B_0);                                    \
+              traits.madd(A0, B1,  C1, T0);                                     \
+              traits.madd(A1, B1,  C5, B1);                                     \
+              traits.madd(A0, B2,  C2, T0);                                     \
+              traits.madd(A1, B2,  C6, B2);                                     \
+              traits.madd(A0, B3,  C3, T0);                                     \
+              traits.madd(A1, B3,  C7, B3);                                     \
+              EIGEN_GEBP_2PX4_SPILLING_WORKAROUND                               \
+              EIGEN_ASM_COMMENT("end step of gebp micro kernel 2pX4");          \
+            } while(false)
+            
+            internal::prefetch(blB+(48+0));
+            EIGEN_GEBGP_ONESTEP(0);
+            EIGEN_GEBGP_ONESTEP(1);
+            EIGEN_GEBGP_ONESTEP(2);
+            EIGEN_GEBGP_ONESTEP(3);
+            internal::prefetch(blB+(48+16));
+            EIGEN_GEBGP_ONESTEP(4);
+            EIGEN_GEBGP_ONESTEP(5);
+            EIGEN_GEBGP_ONESTEP(6);
+            EIGEN_GEBGP_ONESTEP(7);
+
+            blB += pk*4*RhsProgress;
+            blA += pk*(2*Traits::LhsProgress);
+
+            EIGEN_ASM_COMMENT("end gebp micro kernel 2pX4");
+          }
+          // process remaining peeled loop
+          for(Index k=peeled_kc; k<depth; k++)
+          {
+            RhsPacket B_0, B1, B2, B3, T0;
+            EIGEN_GEBGP_ONESTEP(0);
+            blB += 4*RhsProgress;
+            blA += 2*Traits::LhsProgress;
+          }
+#undef EIGEN_GEBGP_ONESTEP
+
+          ResPacket R0, R1, R2, R3;
+          ResPacket alphav = pset1<ResPacket>(alpha);
+
+          R0 = r0.loadPacket(0 * Traits::ResPacketSize);
+          R1 = r0.loadPacket(1 * Traits::ResPacketSize);
+          R2 = r1.loadPacket(0 * Traits::ResPacketSize);
+          R3 = r1.loadPacket(1 * Traits::ResPacketSize);
+          traits.acc(C0, alphav, R0);
+          traits.acc(C4, alphav, R1);
+          traits.acc(C1, alphav, R2);
+          traits.acc(C5, alphav, R3);
+          r0.storePacket(0 * Traits::ResPacketSize, R0);
+          r0.storePacket(1 * Traits::ResPacketSize, R1);
+          r1.storePacket(0 * Traits::ResPacketSize, R2);
+          r1.storePacket(1 * Traits::ResPacketSize, R3);
+
+          R0 = r2.loadPacket(0 * Traits::ResPacketSize);
+          R1 = r2.loadPacket(1 * Traits::ResPacketSize);
+          R2 = r3.loadPacket(0 * Traits::ResPacketSize);
+          R3 = r3.loadPacket(1 * Traits::ResPacketSize);
+          traits.acc(C2,  alphav, R0);
+          traits.acc(C6,  alphav, R1);
+          traits.acc(C3,  alphav, R2);
+          traits.acc(C7,  alphav, R3);
+          r2.storePacket(0 * Traits::ResPacketSize, R0);
+          r2.storePacket(1 * Traits::ResPacketSize, R1);
+          r3.storePacket(0 * Traits::ResPacketSize, R2);
+          r3.storePacket(1 * Traits::ResPacketSize, R3);
+          }
+        }
+      
+        // Deal with remaining columns of the rhs
+        for(Index j2=packet_cols4; j2<cols; j2++)
+        {
+          for(Index i=i1; i<actual_panel_end; i+=2*LhsProgress)
+          {
+          // One column at a time
+          const LhsScalar* blA = &blockA[i*strideA+offsetA*(2*Traits::LhsProgress)];
+          prefetch(&blA[0]);
+
+          // gets res block as register
+          AccPacket C0, C4;
+          traits.initAcc(C0);
+          traits.initAcc(C4);
+
+          LinearMapper r0 = res.getLinearMapper(i, j2);
+          r0.prefetch(prefetch_res_offset);
+
+          // performs "inner" products
+          const RhsScalar* blB = &blockB[j2*strideB+offsetB];
+          LhsPacket A0, A1;
+
+          for(Index k=0; k<peeled_kc; k+=pk)
+          {
+            EIGEN_ASM_COMMENT("begin gebp micro kernel 2pX1");
+            RhsPacket B_0, B1;
+        
+#define EIGEN_GEBGP_ONESTEP(K) \
+            do {                                                                  \
+              EIGEN_ASM_COMMENT("begin step of gebp micro kernel 2pX1");          \
+              EIGEN_ASM_COMMENT("Note: these asm comments work around bug 935!"); \
+              traits.loadLhs(&blA[(0+2*K)*LhsProgress], A0);                      \
+              traits.loadLhs(&blA[(1+2*K)*LhsProgress], A1);                      \
+              traits.loadRhs(&blB[(0+K)*RhsProgress], B_0);                       \
+              traits.madd(A0, B_0, C0, B1);                                       \
+              traits.madd(A1, B_0, C4, B_0);                                      \
+              EIGEN_ASM_COMMENT("end step of gebp micro kernel 2pX1");            \
+            } while(false)
+        
+            EIGEN_GEBGP_ONESTEP(0);
+            EIGEN_GEBGP_ONESTEP(1);
+            EIGEN_GEBGP_ONESTEP(2);
+            EIGEN_GEBGP_ONESTEP(3);
+            EIGEN_GEBGP_ONESTEP(4);
+            EIGEN_GEBGP_ONESTEP(5);
+            EIGEN_GEBGP_ONESTEP(6);
+            EIGEN_GEBGP_ONESTEP(7);
+
+            blB += pk*RhsProgress;
+            blA += pk*2*Traits::LhsProgress;
+
+            EIGEN_ASM_COMMENT("end gebp micro kernel 2pX1");
+          }
+
+          // process remaining peeled loop
+          for(Index k=peeled_kc; k<depth; k++)
+          {
+            RhsPacket B_0, B1;
+            EIGEN_GEBGP_ONESTEP(0);
+            blB += RhsProgress;
+            blA += 2*Traits::LhsProgress;
+          }
+#undef EIGEN_GEBGP_ONESTEP
+          ResPacket R0, R1;
+          ResPacket alphav = pset1<ResPacket>(alpha);
+
+          R0 = r0.loadPacket(0 * Traits::ResPacketSize);
+          R1 = r0.loadPacket(1 * Traits::ResPacketSize);
+          traits.acc(C0, alphav, R0);
+          traits.acc(C4, alphav, R1);
+          r0.storePacket(0 * Traits::ResPacketSize, R0);
+          r0.storePacket(1 * Traits::ResPacketSize, R1);
+          }
+        }
+      }
+    }
+    //---------- Process 1 * LhsProgress rows at once ----------
+    if(mr>=1*Traits::LhsProgress)
+    {
+      // loops on each largest micro horizontal panel of lhs (1*LhsProgress x depth)
+      for(Index i=peeled_mc2; i<peeled_mc1; i+=1*LhsProgress)
+      {
+        // loops on each largest micro vertical panel of rhs (depth * nr)
+        for(Index j2=0; j2<packet_cols4; j2+=nr)
+        {
+          // We select a 1*Traits::LhsProgress x nr micro block of res which is entirely
+          // stored into 1 x nr registers.
+          
+          const LhsScalar* blA = &blockA[i*strideA+offsetA*(1*Traits::LhsProgress)];
+          prefetch(&blA[0]);
+
+          // gets res block as register
+          AccPacket C0, C1, C2, C3;
+          traits.initAcc(C0);
+          traits.initAcc(C1);
+          traits.initAcc(C2);
+          traits.initAcc(C3);
+
+          LinearMapper r0 = res.getLinearMapper(i, j2 + 0);
+          LinearMapper r1 = res.getLinearMapper(i, j2 + 1);
+          LinearMapper r2 = res.getLinearMapper(i, j2 + 2);
+          LinearMapper r3 = res.getLinearMapper(i, j2 + 3);
+
+          r0.prefetch(prefetch_res_offset);
+          r1.prefetch(prefetch_res_offset);
+          r2.prefetch(prefetch_res_offset);
+          r3.prefetch(prefetch_res_offset);
+
+          // performs "inner" products
+          const RhsScalar* blB = &blockB[j2*strideB+offsetB*nr];
+          prefetch(&blB[0]);
+          LhsPacket A0;
+
+          for(Index k=0; k<peeled_kc; k+=pk)
+          {
+            EIGEN_ASM_COMMENT("begin gebp micro kernel 1pX4");
+            RhsPacket B_0, B1, B2, B3;
+               
+#define EIGEN_GEBGP_ONESTEP(K) \
+            do {                                                                \
+              EIGEN_ASM_COMMENT("begin step of gebp micro kernel 1pX4");        \
+              EIGEN_ASM_COMMENT("Note: these asm comments work around bug 935!"); \
+              traits.loadLhs(&blA[(0+1*K)*LhsProgress], A0);                    \
+              traits.broadcastRhs(&blB[(0+4*K)*RhsProgress], B_0, B1, B2, B3);  \
+              traits.madd(A0, B_0, C0, B_0);                                    \
+              traits.madd(A0, B1,  C1, B1);                                     \
+              traits.madd(A0, B2,  C2, B2);                                     \
+              traits.madd(A0, B3,  C3, B3);                                     \
+              EIGEN_ASM_COMMENT("end step of gebp micro kernel 1pX4");          \
+            } while(false)
+            
+            internal::prefetch(blB+(48+0));
+            EIGEN_GEBGP_ONESTEP(0);
+            EIGEN_GEBGP_ONESTEP(1);
+            EIGEN_GEBGP_ONESTEP(2);
+            EIGEN_GEBGP_ONESTEP(3);
+            internal::prefetch(blB+(48+16));
+            EIGEN_GEBGP_ONESTEP(4);
+            EIGEN_GEBGP_ONESTEP(5);
+            EIGEN_GEBGP_ONESTEP(6);
+            EIGEN_GEBGP_ONESTEP(7);
+
+            blB += pk*4*RhsProgress;
+            blA += pk*1*LhsProgress;
+
+            EIGEN_ASM_COMMENT("end gebp micro kernel 1pX4");
+          }
+          // process remaining peeled loop
+          for(Index k=peeled_kc; k<depth; k++)
+          {
+            RhsPacket B_0, B1, B2, B3;
+            EIGEN_GEBGP_ONESTEP(0);
+            blB += 4*RhsProgress;
+            blA += 1*LhsProgress;
+          }
+#undef EIGEN_GEBGP_ONESTEP
+
+          ResPacket R0, R1;
+          ResPacket alphav = pset1<ResPacket>(alpha);
+
+          R0 = r0.loadPacket(0 * Traits::ResPacketSize);
+          R1 = r1.loadPacket(0 * Traits::ResPacketSize);
+          traits.acc(C0, alphav, R0);
+          traits.acc(C1,  alphav, R1);
+          r0.storePacket(0 * Traits::ResPacketSize, R0);
+          r1.storePacket(0 * Traits::ResPacketSize, R1);
+
+          R0 = r2.loadPacket(0 * Traits::ResPacketSize);
+          R1 = r3.loadPacket(0 * Traits::ResPacketSize);
+          traits.acc(C2,  alphav, R0);
+          traits.acc(C3,  alphav, R1);
+          r2.storePacket(0 * Traits::ResPacketSize, R0);
+          r3.storePacket(0 * Traits::ResPacketSize, R1);
+        }
+
+        // Deal with remaining columns of the rhs
+        for(Index j2=packet_cols4; j2<cols; j2++)
+        {
+          // One column at a time
+          const LhsScalar* blA = &blockA[i*strideA+offsetA*(1*Traits::LhsProgress)];
+          prefetch(&blA[0]);
+
+          // gets res block as register
+          AccPacket C0;
+          traits.initAcc(C0);
+
+          LinearMapper r0 = res.getLinearMapper(i, j2);
+
+          // performs "inner" products
+          const RhsScalar* blB = &blockB[j2*strideB+offsetB];
+          LhsPacket A0;
+
+          for(Index k=0; k<peeled_kc; k+=pk)
+          {
+            EIGEN_ASM_COMMENT("begin gebp micro kernel 1pX1");
+            RhsPacket B_0;
+        
+#define EIGEN_GEBGP_ONESTEP(K) \
+            do {                                                                \
+              EIGEN_ASM_COMMENT("begin step of gebp micro kernel 1pX1");        \
+              EIGEN_ASM_COMMENT("Note: these asm comments work around bug 935!"); \
+              traits.loadLhs(&blA[(0+1*K)*LhsProgress], A0);                    \
+              traits.loadRhs(&blB[(0+K)*RhsProgress], B_0);                     \
+              traits.madd(A0, B_0, C0, B_0);                                    \
+              EIGEN_ASM_COMMENT("end step of gebp micro kernel 1pX1");          \
+            } while(false);
+
+            EIGEN_GEBGP_ONESTEP(0);
+            EIGEN_GEBGP_ONESTEP(1);
+            EIGEN_GEBGP_ONESTEP(2);
+            EIGEN_GEBGP_ONESTEP(3);
+            EIGEN_GEBGP_ONESTEP(4);
+            EIGEN_GEBGP_ONESTEP(5);
+            EIGEN_GEBGP_ONESTEP(6);
+            EIGEN_GEBGP_ONESTEP(7);
+
+            blB += pk*RhsProgress;
+            blA += pk*1*Traits::LhsProgress;
+
+            EIGEN_ASM_COMMENT("end gebp micro kernel 1pX1");
+          }
+
+          // process remaining peeled loop
+          for(Index k=peeled_kc; k<depth; k++)
+          {
+            RhsPacket B_0;
+            EIGEN_GEBGP_ONESTEP(0);
+            blB += RhsProgress;
+            blA += 1*Traits::LhsProgress;
+          }
+#undef EIGEN_GEBGP_ONESTEP
+          ResPacket R0;
+          ResPacket alphav = pset1<ResPacket>(alpha);
+          R0 = r0.loadPacket(0 * Traits::ResPacketSize);
+          traits.acc(C0, alphav, R0);
+          r0.storePacket(0 * Traits::ResPacketSize, R0);
+        }
+      }
+    }
+    //---------- Process remaining rows, 1 at once ----------
+    if(peeled_mc1<rows)
+    {
+      // loop on each panel of the rhs
+      for(Index j2=0; j2<packet_cols4; j2+=nr)
+      {
+        // loop on each row of the lhs (1*LhsProgress x depth)
+        for(Index i=peeled_mc1; i<rows; i+=1)
+        {
+          const LhsScalar* blA = &blockA[i*strideA+offsetA];
+          prefetch(&blA[0]);
+          const RhsScalar* blB = &blockB[j2*strideB+offsetB*nr];
+
+          // The following piece of code wont work for 512 bit registers
+          // Moreover, if LhsProgress==8 it assumes that there is a half packet of the same size
+          // as nr (which is currently 4) for the return type.
+          const int SResPacketHalfSize = unpacket_traits<typename unpacket_traits<SResPacket>::half>::size;
+          if ((SwappedTraits::LhsProgress % 4) == 0 &&
+              (SwappedTraits::LhsProgress <= 8) &&
+              (SwappedTraits::LhsProgress!=8 || SResPacketHalfSize==nr))
+          {
+            SAccPacket C0, C1, C2, C3;
+            straits.initAcc(C0);
+            straits.initAcc(C1);
+            straits.initAcc(C2);
+            straits.initAcc(C3);
+
+            const Index spk   = (std::max)(1,SwappedTraits::LhsProgress/4);
+            const Index endk  = (depth/spk)*spk;
+            const Index endk4 = (depth/(spk*4))*(spk*4);
+
+            Index k=0;
+            for(; k<endk4; k+=4*spk)
+            {
+              SLhsPacket A0,A1;
+              SRhsPacket B_0,B_1;
+
+              straits.loadLhsUnaligned(blB+0*SwappedTraits::LhsProgress, A0);
+              straits.loadLhsUnaligned(blB+1*SwappedTraits::LhsProgress, A1);
+
+              straits.loadRhsQuad(blA+0*spk, B_0);
+              straits.loadRhsQuad(blA+1*spk, B_1);
+              straits.madd(A0,B_0,C0,B_0);
+              straits.madd(A1,B_1,C1,B_1);
+
+              straits.loadLhsUnaligned(blB+2*SwappedTraits::LhsProgress, A0);
+              straits.loadLhsUnaligned(blB+3*SwappedTraits::LhsProgress, A1);
+              straits.loadRhsQuad(blA+2*spk, B_0);
+              straits.loadRhsQuad(blA+3*spk, B_1);
+              straits.madd(A0,B_0,C2,B_0);
+              straits.madd(A1,B_1,C3,B_1);
+
+              blB += 4*SwappedTraits::LhsProgress;
+              blA += 4*spk;
+            }
+            C0 = padd(padd(C0,C1),padd(C2,C3));
+            for(; k<endk; k+=spk)
+            {
+              SLhsPacket A0;
+              SRhsPacket B_0;
+
+              straits.loadLhsUnaligned(blB, A0);
+              straits.loadRhsQuad(blA, B_0);
+              straits.madd(A0,B_0,C0,B_0);
+
+              blB += SwappedTraits::LhsProgress;
+              blA += spk;
+            }
+            if(SwappedTraits::LhsProgress==8)
+            {
+              // Special case where we have to first reduce the accumulation register C0
+              typedef typename conditional<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SResPacket>::half,SResPacket>::type SResPacketHalf;
+              typedef typename conditional<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SLhsPacket>::half,SLhsPacket>::type SLhsPacketHalf;
+              typedef typename conditional<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SLhsPacket>::half,SRhsPacket>::type SRhsPacketHalf;
+              typedef typename conditional<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SAccPacket>::half,SAccPacket>::type SAccPacketHalf;
+
+              SResPacketHalf R = res.template gatherPacket<SResPacketHalf>(i, j2);
+              SResPacketHalf alphav = pset1<SResPacketHalf>(alpha);
+
+              if(depth-endk>0)
+              {
+                // We have to handle the last row of the rhs which corresponds to a half-packet
+                SLhsPacketHalf a0;
+                SRhsPacketHalf b0;
+                straits.loadLhsUnaligned(blB, a0);
+                straits.loadRhs(blA, b0);
+                SAccPacketHalf c0 = predux_downto4(C0);
+                straits.madd(a0,b0,c0,b0);
+                straits.acc(c0, alphav, R);
+              }
+              else
+              {
+                straits.acc(predux_downto4(C0), alphav, R);
+              }
+              res.scatterPacket(i, j2, R);
+            }
+            else
+            {
+              SResPacket R = res.template gatherPacket<SResPacket>(i, j2);
+              SResPacket alphav = pset1<SResPacket>(alpha);
+              straits.acc(C0, alphav, R);
+              res.scatterPacket(i, j2, R);
+            }
+          }
+          else // scalar path
+          {
+            // get a 1 x 4 res block as registers
+            ResScalar C0(0), C1(0), C2(0), C3(0);
+
+            for(Index k=0; k<depth; k++)
+            {
+              LhsScalar A0;
+              RhsScalar B_0, B_1;
+
+              A0 = blA[k];
+
+              B_0 = blB[0];
+              B_1 = blB[1];
+              CJMADD(cj,A0,B_0,C0,  B_0);
+              CJMADD(cj,A0,B_1,C1,  B_1);
+              
+              B_0 = blB[2];
+              B_1 = blB[3];
+              CJMADD(cj,A0,B_0,C2,  B_0);
+              CJMADD(cj,A0,B_1,C3,  B_1);
+              
+              blB += 4;
+            }
+            res(i, j2 + 0) += alpha * C0;
+            res(i, j2 + 1) += alpha * C1;
+            res(i, j2 + 2) += alpha * C2;
+            res(i, j2 + 3) += alpha * C3;
+          }
+        }
+      }
+      // remaining columns
+      for(Index j2=packet_cols4; j2<cols; j2++)
+      {
+        // loop on each row of the lhs (1*LhsProgress x depth)
+        for(Index i=peeled_mc1; i<rows; i+=1)
+        {
+          const LhsScalar* blA = &blockA[i*strideA+offsetA];
+          prefetch(&blA[0]);
+          // gets a 1 x 1 res block as registers
+          ResScalar C0(0);
+          const RhsScalar* blB = &blockB[j2*strideB+offsetB];
+          for(Index k=0; k<depth; k++)
+          {
+            LhsScalar A0 = blA[k];
+            RhsScalar B_0 = blB[k];
+            CJMADD(cj, A0, B_0, C0, B_0);
+          }
+          res(i, j2) += alpha * C0;
+        }
+      }
+    }
+  }
+
+
+#undef CJMADD
+
+// pack a block of the lhs
+// The traversal is as follow (mr==4):
+//   0  4  8 12 ...
+//   1  5  9 13 ...
+//   2  6 10 14 ...
+//   3  7 11 15 ...
+//
+//  16 20 24 28 ...
+//  17 21 25 29 ...
+//  18 22 26 30 ...
+//  19 23 27 31 ...
+//
+//  32 33 34 35 ...
+//  36 36 38 39 ...
+template<typename Scalar, typename Index, typename DataMapper, int Pack1, int Pack2, bool Conjugate, bool PanelMode>
+struct gemm_pack_lhs<Scalar, Index, DataMapper, Pack1, Pack2, ColMajor, Conjugate, PanelMode>
+{
+  typedef typename DataMapper::LinearMapper LinearMapper;
+  EIGEN_DONT_INLINE void operator()(Scalar* blockA, const DataMapper& lhs, Index depth, Index rows, Index stride=0, Index offset=0);
+};
+
+template<typename Scalar, typename Index, typename DataMapper, int Pack1, int Pack2, bool Conjugate, bool PanelMode>
+EIGEN_DONT_INLINE void gemm_pack_lhs<Scalar, Index, DataMapper, Pack1, Pack2, ColMajor, Conjugate, PanelMode>
+  ::operator()(Scalar* blockA, const DataMapper& lhs, Index depth, Index rows, Index stride, Index offset)
+{
+  typedef typename packet_traits<Scalar>::type Packet;
+  enum { PacketSize = packet_traits<Scalar>::size };
+
+  EIGEN_ASM_COMMENT("EIGEN PRODUCT PACK LHS");
+  EIGEN_UNUSED_VARIABLE(stride);
+  EIGEN_UNUSED_VARIABLE(offset);
+  eigen_assert(((!PanelMode) && stride==0 && offset==0) || (PanelMode && stride>=depth && offset<=stride));
+  eigen_assert( ((Pack1%PacketSize)==0 && Pack1<=4*PacketSize) || (Pack1<=4) );
+  conj_if<NumTraits<Scalar>::IsComplex && Conjugate> cj;
+  Index count = 0;
+
+  const Index peeled_mc3 = Pack1>=3*PacketSize ? (rows/(3*PacketSize))*(3*PacketSize) : 0;
+  const Index peeled_mc2 = Pack1>=2*PacketSize ? peeled_mc3+((rows-peeled_mc3)/(2*PacketSize))*(2*PacketSize) : 0;
+  const Index peeled_mc1 = Pack1>=1*PacketSize ? (rows/(1*PacketSize))*(1*PacketSize) : 0;
+  const Index peeled_mc0 = Pack2>=1*PacketSize ? peeled_mc1
+                         : Pack2>1             ? (rows/Pack2)*Pack2 : 0;
+
+  Index i=0;
+
+  // Pack 3 packets
+  if(Pack1>=3*PacketSize)
+  {
+    for(; i<peeled_mc3; i+=3*PacketSize)
+    {
+      if(PanelMode) count += (3*PacketSize) * offset;
+
+      for(Index k=0; k<depth; k++)
+      {
+        Packet A, B, C;
+        A = lhs.loadPacket(i+0*PacketSize, k);
+        B = lhs.loadPacket(i+1*PacketSize, k);
+        C = lhs.loadPacket(i+2*PacketSize, k);
+        pstore(blockA+count, cj.pconj(A)); count+=PacketSize;
+        pstore(blockA+count, cj.pconj(B)); count+=PacketSize;
+        pstore(blockA+count, cj.pconj(C)); count+=PacketSize;
+      }
+      if(PanelMode) count += (3*PacketSize) * (stride-offset-depth);
+    }
+  }
+  // Pack 2 packets
+  if(Pack1>=2*PacketSize)
+  {
+    for(; i<peeled_mc2; i+=2*PacketSize)
+    {
+      if(PanelMode) count += (2*PacketSize) * offset;
+
+      for(Index k=0; k<depth; k++)
+      {
+        Packet A, B;
+        A = lhs.loadPacket(i+0*PacketSize, k);
+        B = lhs.loadPacket(i+1*PacketSize, k);
+        pstore(blockA+count, cj.pconj(A)); count+=PacketSize;
+        pstore(blockA+count, cj.pconj(B)); count+=PacketSize;
+      }
+      if(PanelMode) count += (2*PacketSize) * (stride-offset-depth);
+    }
+  }
+  // Pack 1 packets
+  if(Pack1>=1*PacketSize)
+  {
+    for(; i<peeled_mc1; i+=1*PacketSize)
+    {
+      if(PanelMode) count += (1*PacketSize) * offset;
+
+      for(Index k=0; k<depth; k++)
+      {
+        Packet A;
+        A = lhs.loadPacket(i+0*PacketSize, k);
+        pstore(blockA+count, cj.pconj(A));
+        count+=PacketSize;
+      }
+      if(PanelMode) count += (1*PacketSize) * (stride-offset-depth);
+    }
+  }
+  // Pack scalars
+  if(Pack2<PacketSize && Pack2>1)
+  {
+    for(; i<peeled_mc0; i+=Pack2)
+    {
+      if(PanelMode) count += Pack2 * offset;
+
+      for(Index k=0; k<depth; k++)
+        for(Index w=0; w<Pack2; w++)
+          blockA[count++] = cj(lhs(i+w, k));
+
+      if(PanelMode) count += Pack2 * (stride-offset-depth);
+    }
+  }
+  for(; i<rows; i++)
+  {
+    if(PanelMode) count += offset;
+    for(Index k=0; k<depth; k++)
+      blockA[count++] = cj(lhs(i, k));
+    if(PanelMode) count += (stride-offset-depth);
+  }
+}
+
+template<typename Scalar, typename Index, typename DataMapper, int Pack1, int Pack2, bool Conjugate, bool PanelMode>
+struct gemm_pack_lhs<Scalar, Index, DataMapper, Pack1, Pack2, RowMajor, Conjugate, PanelMode>
+{
+  typedef typename DataMapper::LinearMapper LinearMapper;
+  EIGEN_DONT_INLINE void operator()(Scalar* blockA, const DataMapper& lhs, Index depth, Index rows, Index stride=0, Index offset=0);
+};
+
+template<typename Scalar, typename Index, typename DataMapper, int Pack1, int Pack2, bool Conjugate, bool PanelMode>
+EIGEN_DONT_INLINE void gemm_pack_lhs<Scalar, Index, DataMapper, Pack1, Pack2, RowMajor, Conjugate, PanelMode>
+  ::operator()(Scalar* blockA, const DataMapper& lhs, Index depth, Index rows, Index stride, Index offset)
+{
+  typedef typename packet_traits<Scalar>::type Packet;
+  enum { PacketSize = packet_traits<Scalar>::size };
+
+  EIGEN_ASM_COMMENT("EIGEN PRODUCT PACK LHS");
+  EIGEN_UNUSED_VARIABLE(stride);
+  EIGEN_UNUSED_VARIABLE(offset);
+  eigen_assert(((!PanelMode) && stride==0 && offset==0) || (PanelMode && stride>=depth && offset<=stride));
+  conj_if<NumTraits<Scalar>::IsComplex && Conjugate> cj;
+  Index count = 0;
+
+//   const Index peeled_mc3 = Pack1>=3*PacketSize ? (rows/(3*PacketSize))*(3*PacketSize) : 0;
+//   const Index peeled_mc2 = Pack1>=2*PacketSize ? peeled_mc3+((rows-peeled_mc3)/(2*PacketSize))*(2*PacketSize) : 0;
+//   const Index peeled_mc1 = Pack1>=1*PacketSize ? (rows/(1*PacketSize))*(1*PacketSize) : 0;
+
+  int pack = Pack1;
+  Index i = 0;
+  while(pack>0)
+  {
+    Index remaining_rows = rows-i;
+    Index peeled_mc = i+(remaining_rows/pack)*pack;
+    for(; i<peeled_mc; i+=pack)
+    {
+      if(PanelMode) count += pack * offset;
+
+      const Index peeled_k = (depth/PacketSize)*PacketSize;
+      Index k=0;
+      if(pack>=PacketSize)
+      {
+        for(; k<peeled_k; k+=PacketSize)
+        {
+          for (Index m = 0; m < pack; m += PacketSize)
+          {
+            PacketBlock<Packet> kernel;
+            for (int p = 0; p < PacketSize; ++p) kernel.packet[p] = lhs.loadPacket(i+p+m, k);
+            ptranspose(kernel);
+            for (int p = 0; p < PacketSize; ++p) pstore(blockA+count+m+(pack)*p, cj.pconj(kernel.packet[p]));
+          }
+          count += PacketSize*pack;
+        }
+      }
+      for(; k<depth; k++)
+      {
+        Index w=0;
+        for(; w<pack-3; w+=4)
+        {
+          Scalar a(cj(lhs(i+w+0, k))),
+                 b(cj(lhs(i+w+1, k))),
+                 c(cj(lhs(i+w+2, k))),
+                 d(cj(lhs(i+w+3, k)));
+          blockA[count++] = a;
+          blockA[count++] = b;
+          blockA[count++] = c;
+          blockA[count++] = d;
+        }
+        if(pack%4)
+          for(;w<pack;++w)
+            blockA[count++] = cj(lhs(i+w, k));
+      }
+
+      if(PanelMode) count += pack * (stride-offset-depth);
+    }
+
+    pack -= PacketSize;
+    if(pack<Pack2 && (pack+PacketSize)!=Pack2)
+      pack = Pack2;
+  }
+
+  for(; i<rows; i++)
+  {
+    if(PanelMode) count += offset;
+    for(Index k=0; k<depth; k++)
+      blockA[count++] = cj(lhs(i, k));
+    if(PanelMode) count += (stride-offset-depth);
+  }
+}
+
+// copy a complete panel of the rhs
+// this version is optimized for column major matrices
+// The traversal order is as follow: (nr==4):
+//  0  1  2  3   12 13 14 15   24 27
+//  4  5  6  7   16 17 18 19   25 28
+//  8  9 10 11   20 21 22 23   26 29
+//  .  .  .  .    .  .  .  .    .  .
+template<typename Scalar, typename Index, typename DataMapper, int nr, bool Conjugate, bool PanelMode>
+struct gemm_pack_rhs<Scalar, Index, DataMapper, nr, ColMajor, Conjugate, PanelMode>
+{
+  typedef typename packet_traits<Scalar>::type Packet;
+  typedef typename DataMapper::LinearMapper LinearMapper;
+  enum { PacketSize = packet_traits<Scalar>::size };
+  EIGEN_DONT_INLINE void operator()(Scalar* blockB, const DataMapper& rhs, Index depth, Index cols, Index stride=0, Index offset=0);
+};
+
+template<typename Scalar, typename Index, typename DataMapper, int nr, bool Conjugate, bool PanelMode>
+EIGEN_DONT_INLINE void gemm_pack_rhs<Scalar, Index, DataMapper, nr, ColMajor, Conjugate, PanelMode>
+  ::operator()(Scalar* blockB, const DataMapper& rhs, Index depth, Index cols, Index stride, Index offset)
+{
+  EIGEN_ASM_COMMENT("EIGEN PRODUCT PACK RHS COLMAJOR");
+  EIGEN_UNUSED_VARIABLE(stride);
+  EIGEN_UNUSED_VARIABLE(offset);
+  eigen_assert(((!PanelMode) && stride==0 && offset==0) || (PanelMode && stride>=depth && offset<=stride));
+  conj_if<NumTraits<Scalar>::IsComplex && Conjugate> cj;
+  Index packet_cols8 = nr>=8 ? (cols/8) * 8 : 0;
+  Index packet_cols4 = nr>=4 ? (cols/4) * 4 : 0;
+  Index count = 0;
+  const Index peeled_k = (depth/PacketSize)*PacketSize;
+//   if(nr>=8)
+//   {
+//     for(Index j2=0; j2<packet_cols8; j2+=8)
+//     {
+//       // skip what we have before
+//       if(PanelMode) count += 8 * offset;
+//       const Scalar* b0 = &rhs[(j2+0)*rhsStride];
+//       const Scalar* b1 = &rhs[(j2+1)*rhsStride];
+//       const Scalar* b2 = &rhs[(j2+2)*rhsStride];
+//       const Scalar* b3 = &rhs[(j2+3)*rhsStride];
+//       const Scalar* b4 = &rhs[(j2+4)*rhsStride];
+//       const Scalar* b5 = &rhs[(j2+5)*rhsStride];
+//       const Scalar* b6 = &rhs[(j2+6)*rhsStride];
+//       const Scalar* b7 = &rhs[(j2+7)*rhsStride];
+//       Index k=0;
+//       if(PacketSize==8) // TODO enbale vectorized transposition for PacketSize==4
+//       {
+//         for(; k<peeled_k; k+=PacketSize) {
+//           PacketBlock<Packet> kernel;
+//           for (int p = 0; p < PacketSize; ++p) {
+//             kernel.packet[p] = ploadu<Packet>(&rhs[(j2+p)*rhsStride+k]);
+//           }
+//           ptranspose(kernel);
+//           for (int p = 0; p < PacketSize; ++p) {
+//             pstoreu(blockB+count, cj.pconj(kernel.packet[p]));
+//             count+=PacketSize;
+//           }
+//         }
+//       }
+//       for(; k<depth; k++)
+//       {
+//         blockB[count+0] = cj(b0[k]);
+//         blockB[count+1] = cj(b1[k]);
+//         blockB[count+2] = cj(b2[k]);
+//         blockB[count+3] = cj(b3[k]);
+//         blockB[count+4] = cj(b4[k]);
+//         blockB[count+5] = cj(b5[k]);
+//         blockB[count+6] = cj(b6[k]);
+//         blockB[count+7] = cj(b7[k]);
+//         count += 8;
+//       }
+//       // skip what we have after
+//       if(PanelMode) count += 8 * (stride-offset-depth);
+//     }
+//   }
+
+  if(nr>=4)
+  {
+    for(Index j2=packet_cols8; j2<packet_cols4; j2+=4)
+    {
+      // skip what we have before
+      if(PanelMode) count += 4 * offset;
+      const LinearMapper dm0 = rhs.getLinearMapper(0, j2 + 0);
+      const LinearMapper dm1 = rhs.getLinearMapper(0, j2 + 1);
+      const LinearMapper dm2 = rhs.getLinearMapper(0, j2 + 2);
+      const LinearMapper dm3 = rhs.getLinearMapper(0, j2 + 3);
+
+      Index k=0;
+      if((PacketSize%4)==0) // TODO enable vectorized transposition for PacketSize==2 ??
+      {
+        for(; k<peeled_k; k+=PacketSize) {
+          PacketBlock<Packet,(PacketSize%4)==0?4:PacketSize> kernel;
+          kernel.packet[0] = dm0.loadPacket(k);
+          kernel.packet[1%PacketSize] = dm1.loadPacket(k);
+          kernel.packet[2%PacketSize] = dm2.loadPacket(k);
+          kernel.packet[3%PacketSize] = dm3.loadPacket(k);
+          ptranspose(kernel);
+          pstoreu(blockB+count+0*PacketSize, cj.pconj(kernel.packet[0]));
+          pstoreu(blockB+count+1*PacketSize, cj.pconj(kernel.packet[1%PacketSize]));
+          pstoreu(blockB+count+2*PacketSize, cj.pconj(kernel.packet[2%PacketSize]));
+          pstoreu(blockB+count+3*PacketSize, cj.pconj(kernel.packet[3%PacketSize]));
+          count+=4*PacketSize;
+        }
+      }
+      for(; k<depth; k++)
+      {
+        blockB[count+0] = cj(dm0(k));
+        blockB[count+1] = cj(dm1(k));
+        blockB[count+2] = cj(dm2(k));
+        blockB[count+3] = cj(dm3(k));
+        count += 4;
+      }
+      // skip what we have after
+      if(PanelMode) count += 4 * (stride-offset-depth);
+    }
+  }
+
+  // copy the remaining columns one at a time (nr==1)
+  for(Index j2=packet_cols4; j2<cols; ++j2)
+  {
+    if(PanelMode) count += offset;
+    const LinearMapper dm0 = rhs.getLinearMapper(0, j2);
+    for(Index k=0; k<depth; k++)
+    {
+      blockB[count] = cj(dm0(k));
+      count += 1;
+    }
+    if(PanelMode) count += (stride-offset-depth);
+  }
+}
+
+// this version is optimized for row major matrices
+template<typename Scalar, typename Index, typename DataMapper, int nr, bool Conjugate, bool PanelMode>
+struct gemm_pack_rhs<Scalar, Index, DataMapper, nr, RowMajor, Conjugate, PanelMode>
+{
+  typedef typename packet_traits<Scalar>::type Packet;
+  typedef typename DataMapper::LinearMapper LinearMapper;
+  enum { PacketSize = packet_traits<Scalar>::size };
+  EIGEN_DONT_INLINE void operator()(Scalar* blockB, const DataMapper& rhs, Index depth, Index cols, Index stride=0, Index offset=0);
+};
+
+template<typename Scalar, typename Index, typename DataMapper, int nr, bool Conjugate, bool PanelMode>
+EIGEN_DONT_INLINE void gemm_pack_rhs<Scalar, Index, DataMapper, nr, RowMajor, Conjugate, PanelMode>
+  ::operator()(Scalar* blockB, const DataMapper& rhs, Index depth, Index cols, Index stride, Index offset)
+{
+  EIGEN_ASM_COMMENT("EIGEN PRODUCT PACK RHS ROWMAJOR");
+  EIGEN_UNUSED_VARIABLE(stride);
+  EIGEN_UNUSED_VARIABLE(offset);
+  eigen_assert(((!PanelMode) && stride==0 && offset==0) || (PanelMode && stride>=depth && offset<=stride));
+  conj_if<NumTraits<Scalar>::IsComplex && Conjugate> cj;
+  Index packet_cols8 = nr>=8 ? (cols/8) * 8 : 0;
+  Index packet_cols4 = nr>=4 ? (cols/4) * 4 : 0;
+  Index count = 0;
+
+//   if(nr>=8)
+//   {
+//     for(Index j2=0; j2<packet_cols8; j2+=8)
+//     {
+//       // skip what we have before
+//       if(PanelMode) count += 8 * offset;
+//       for(Index k=0; k<depth; k++)
+//       {
+//         if (PacketSize==8) {
+//           Packet A = ploadu<Packet>(&rhs[k*rhsStride + j2]);
+//           pstoreu(blockB+count, cj.pconj(A));
+//         } else if (PacketSize==4) {
+//           Packet A = ploadu<Packet>(&rhs[k*rhsStride + j2]);
+//           Packet B = ploadu<Packet>(&rhs[k*rhsStride + j2 + PacketSize]);
+//           pstoreu(blockB+count, cj.pconj(A));
+//           pstoreu(blockB+count+PacketSize, cj.pconj(B));
+//         } else {
+//           const Scalar* b0 = &rhs[k*rhsStride + j2];
+//           blockB[count+0] = cj(b0[0]);
+//           blockB[count+1] = cj(b0[1]);
+//           blockB[count+2] = cj(b0[2]);
+//           blockB[count+3] = cj(b0[3]);
+//           blockB[count+4] = cj(b0[4]);
+//           blockB[count+5] = cj(b0[5]);
+//           blockB[count+6] = cj(b0[6]);
+//           blockB[count+7] = cj(b0[7]);
+//         }
+//         count += 8;
+//       }
+//       // skip what we have after
+//       if(PanelMode) count += 8 * (stride-offset-depth);
+//     }
+//   }
+  if(nr>=4)
+  {
+    for(Index j2=packet_cols8; j2<packet_cols4; j2+=4)
+    {
+      // skip what we have before
+      if(PanelMode) count += 4 * offset;
+      for(Index k=0; k<depth; k++)
+      {
+        if (PacketSize==4) {
+          Packet A = rhs.loadPacket(k, j2);
+          pstoreu(blockB+count, cj.pconj(A));
+          count += PacketSize;
+        } else {
+          const LinearMapper dm0 = rhs.getLinearMapper(k, j2);
+          blockB[count+0] = cj(dm0(0));
+          blockB[count+1] = cj(dm0(1));
+          blockB[count+2] = cj(dm0(2));
+          blockB[count+3] = cj(dm0(3));
+          count += 4;
+        }
+      }
+      // skip what we have after
+      if(PanelMode) count += 4 * (stride-offset-depth);
+    }
+  }
+  // copy the remaining columns one at a time (nr==1)
+  for(Index j2=packet_cols4; j2<cols; ++j2)
+  {
+    if(PanelMode) count += offset;
+    for(Index k=0; k<depth; k++)
+    {
+      blockB[count] = cj(rhs(k, j2));
+      count += 1;
+    }
+    if(PanelMode) count += stride-offset-depth;
+  }
+}
+
+} // end namespace internal
+
+/** \returns the currently set level 1 cpu cache size (in bytes) used to estimate the ideal blocking size parameters.
+  * \sa setCpuCacheSize */
+inline std::ptrdiff_t l1CacheSize()
+{
+  std::ptrdiff_t l1, l2, l3;
+  internal::manage_caching_sizes(GetAction, &l1, &l2, &l3);
+  return l1;
+}
+
+/** \returns the currently set level 2 cpu cache size (in bytes) used to estimate the ideal blocking size parameters.
+  * \sa setCpuCacheSize */
+inline std::ptrdiff_t l2CacheSize()
+{
+  std::ptrdiff_t l1, l2, l3;
+  internal::manage_caching_sizes(GetAction, &l1, &l2, &l3);
+  return l2;
+}
+
+/** \returns the currently set level 3 cpu cache size (in bytes) used to estimate the ideal blocking size paramete\
+rs.                                                                                                                
+* \sa setCpuCacheSize */
+inline std::ptrdiff_t l3CacheSize()
+{
+  std::ptrdiff_t l1, l2, l3;
+  internal::manage_caching_sizes(GetAction, &l1, &l2, &l3);
+  return l3;
+}
+
+/** Set the cpu L1 and L2 cache sizes (in bytes).
+  * These values are use to adjust the size of the blocks
+  * for the algorithms working per blocks.
+  *
+  * \sa computeProductBlockingSizes */
+inline void setCpuCacheSizes(std::ptrdiff_t l1, std::ptrdiff_t l2, std::ptrdiff_t l3)
+{
+  internal::manage_caching_sizes(SetAction, &l1, &l2, &l3);
+}
+
+} // end namespace Eigen
+
+#endif // EIGEN_GENERAL_BLOCK_PANEL_H
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h	(revision 3761)
@@ -0,0 +1,260 @@
+// This file is part of Eigen, a lightweight C++ template library
+// for linear algebra.
+//
+// Copyright (C) 2008-2009 Gael Guennebaud <gael.guennebaud@inria.fr>
+//
+// This Source Code Form is subject to the terms of the Mozilla
+// Public License v. 2.0. If a copy of the MPL was not distributed
+// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
+
+#ifndef EIGEN_SELFADJOINT_MATRIX_VECTOR_H
+#define EIGEN_SELFADJOINT_MATRIX_VECTOR_H
+
+namespace Eigen { 
+
+namespace internal {
+
+/* Optimized selfadjoint matrix * vector product:
+ * This algorithm processes 2 columns at onces that allows to both reduce
+ * the number of load/stores of the result by a factor 2 and to reduce
+ * the instruction dependency.
+ */
+
+template<typename Scalar, typename Index, int StorageOrder, int UpLo, bool ConjugateLhs, bool ConjugateRhs, int Version=Specialized>
+struct selfadjoint_matrix_vector_product;
+
+template<typename Scalar, typename Index, int StorageOrder, int UpLo, bool ConjugateLhs, bool ConjugateRhs, int Version>
+struct selfadjoint_matrix_vector_product
+
+{
+static EIGEN_DONT_INLINE void run(
+  Index size,
+  const Scalar*  lhs, Index lhsStride,
+  const Scalar*  rhs,
+  Scalar* res,
+  Scalar alpha);
+};
+
+template<typename Scalar, typename Index, int StorageOrder, int UpLo, bool ConjugateLhs, bool ConjugateRhs, int Version>
+EIGEN_DONT_INLINE void selfadjoint_matrix_vector_product<Scalar,Index,StorageOrder,UpLo,ConjugateLhs,ConjugateRhs,Version>::run(
+  Index size,
+  const Scalar*  lhs, Index lhsStride,
+  const Scalar*  rhs,
+  Scalar* res,
+  Scalar alpha)
+{
+  typedef typename packet_traits<Scalar>::type Packet;
+  typedef typename NumTraits<Scalar>::Real RealScalar;
+  const Index PacketSize = sizeof(Packet)/sizeof(Scalar);
+
+  enum {
+    IsRowMajor = StorageOrder==RowMajor ? 1 : 0,
+    IsLower = UpLo == Lower ? 1 : 0,
+    FirstTriangular = IsRowMajor == IsLower
+  };
+
+  conj_helper<Scalar,Scalar,NumTraits<Scalar>::IsComplex && EIGEN_LOGICAL_XOR(ConjugateLhs,  IsRowMajor), ConjugateRhs> cj0;
+  conj_helper<Scalar,Scalar,NumTraits<Scalar>::IsComplex && EIGEN_LOGICAL_XOR(ConjugateLhs, !IsRowMajor), ConjugateRhs> cj1;
+  conj_helper<RealScalar,Scalar,false, ConjugateRhs> cjd;
+
+  conj_helper<Packet,Packet,NumTraits<Scalar>::IsComplex && EIGEN_LOGICAL_XOR(ConjugateLhs,  IsRowMajor), ConjugateRhs> pcj0;
+  conj_helper<Packet,Packet,NumTraits<Scalar>::IsComplex && EIGEN_LOGICAL_XOR(ConjugateLhs, !IsRowMajor), ConjugateRhs> pcj1;
+
+  Scalar cjAlpha = ConjugateRhs ? numext::conj(alpha) : alpha;
+
+
+  Index bound = (std::max)(Index(0),size-8) & 0xfffffffe;
+  if (FirstTriangular)
+    bound = size - bound;
+
+  for (Index j=FirstTriangular ? bound : 0;
+       j<(FirstTriangular ? size : bound);j+=2)
+  {
+    const Scalar* EIGEN_RESTRICT A0 = lhs + j*lhsStride;
+    const Scalar* EIGEN_RESTRICT A1 = lhs + (j+1)*lhsStride;
+
+    Scalar t0 = cjAlpha * rhs[j];
+    Packet ptmp0 = pset1<Packet>(t0);
+    Scalar t1 = cjAlpha * rhs[j+1];
+    Packet ptmp1 = pset1<Packet>(t1);
+
+    Scalar t2(0);
+    Packet ptmp2 = pset1<Packet>(t2);
+    Scalar t3(0);
+    Packet ptmp3 = pset1<Packet>(t3);
+
+    Index starti = FirstTriangular ? 0 : j+2;
+    Index endi   = FirstTriangular ? j : size;
+    Index alignedStart = (starti) + internal::first_default_aligned(&res[starti], endi-starti);
+    Index alignedEnd = alignedStart + ((endi-alignedStart)/(PacketSize))*(PacketSize);
+
+    res[j]   += cjd.pmul(numext::real(A0[j]), t0);
+    res[j+1] += cjd.pmul(numext::real(A1[j+1]), t1);
+    if(FirstTriangular)
+    {
+      res[j]   += cj0.pmul(A1[j],   t1);
+      t3       += cj1.pmul(A1[j],   rhs[j]);
+    }
+    else
+    {
+      res[j+1] += cj0.pmul(A0[j+1],t0);
+      t2 += cj1.pmul(A0[j+1], rhs[j+1]);
+    }
+
+    for (Index i=starti; i<alignedStart; ++i)
+    {
+      res[i] += cj0.pmul(A0[i], t0) + cj0.pmul(A1[i],t1);
+      t2 += cj1.pmul(A0[i], rhs[i]);
+      t3 += cj1.pmul(A1[i], rhs[i]);
+    }
+    // Yes this an optimization for gcc 4.3 and 4.4 (=> huge speed up)
+    // gcc 4.2 does this optimization automatically.
+    const Scalar* EIGEN_RESTRICT a0It  = A0  + alignedStart;
+    const Scalar* EIGEN_RESTRICT a1It  = A1  + alignedStart;
+    const Scalar* EIGEN_RESTRICT rhsIt = rhs + alignedStart;
+          Scalar* EIGEN_RESTRICT resIt = res + alignedStart;
+    for (Index i=alignedStart; i<alignedEnd; i+=PacketSize)
+    {
+      Packet A0i = ploadu<Packet>(a0It);  a0It  += PacketSize;
+      Packet A1i = ploadu<Packet>(a1It);  a1It  += PacketSize;
+      Packet Bi  = ploadu<Packet>(rhsIt); rhsIt += PacketSize; // FIXME should be aligned in most cases
+      Packet Xi  = pload <Packet>(resIt);
+
+      Xi    = pcj0.pmadd(A0i,ptmp0, pcj0.pmadd(A1i,ptmp1,Xi));
+      ptmp2 = pcj1.pmadd(A0i,  Bi, ptmp2);
+      ptmp3 = pcj1.pmadd(A1i,  Bi, ptmp3);
+      pstore(resIt,Xi); resIt += PacketSize;
+    }
+    for (Index i=alignedEnd; i<endi; i++)
+    {
+      res[i] += cj0.pmul(A0[i], t0) + cj0.pmul(A1[i],t1);
+      t2 += cj1.pmul(A0[i], rhs[i]);
+      t3 += cj1.pmul(A1[i], rhs[i]);
+    }
+
+    res[j]   += alpha * (t2 + predux(ptmp2));
+    res[j+1] += alpha * (t3 + predux(ptmp3));
+  }
+  for (Index j=FirstTriangular ? 0 : bound;j<(FirstTriangular ? bound : size);j++)
+  {
+    const Scalar* EIGEN_RESTRICT A0 = lhs + j*lhsStride;
+
+    Scalar t1 = cjAlpha * rhs[j];
+    Scalar t2(0);
+    res[j] += cjd.pmul(numext::real(A0[j]), t1);
+    for (Index i=FirstTriangular ? 0 : j+1; i<(FirstTriangular ? j : size); i++)
+    {
+      res[i] += cj0.pmul(A0[i], t1);
+      t2 += cj1.pmul(A0[i], rhs[i]);
+    }
+    res[j] += alpha * t2;
+  }
+}
+
+} // end namespace internal 
+
+/***************************************************************************
+* Wrapper to product_selfadjoint_vector
+***************************************************************************/
+
+namespace internal {
+
+template<typename Lhs, int LhsMode, typename Rhs>
+struct selfadjoint_product_impl<Lhs,LhsMode,false,Rhs,0,true>
+{
+  typedef typename Product<Lhs,Rhs>::Scalar Scalar;
+  
+  typedef internal::blas_traits<Lhs> LhsBlasTraits;
+  typedef typename LhsBlasTraits::DirectLinearAccessType ActualLhsType;
+  typedef typename internal::remove_all<ActualLhsType>::type ActualLhsTypeCleaned;
+  
+  typedef internal::blas_traits<Rhs> RhsBlasTraits;
+  typedef typename RhsBlasTraits::DirectLinearAccessType ActualRhsType;
+  typedef typename internal::remove_all<ActualRhsType>::type ActualRhsTypeCleaned;
+
+  enum { LhsUpLo = LhsMode&(Upper|Lower) };
+
+  template<typename Dest>
+  static void run(Dest& dest, const Lhs &a_lhs, const Rhs &a_rhs, const Scalar& alpha)
+  {
+    typedef typename Dest::Scalar ResScalar;
+    typedef typename Rhs::Scalar RhsScalar;
+    typedef Map<Matrix<ResScalar,Dynamic,1>, EIGEN_PLAIN_ENUM_MIN(AlignedMax,internal::packet_traits<ResScalar>::size)> MappedDest;
+    
+    eigen_assert(dest.rows()==a_lhs.rows() && dest.cols()==a_rhs.cols());
+
+    typename internal::add_const_on_value_type<ActualLhsType>::type lhs = LhsBlasTraits::extract(a_lhs);
+    typename internal::add_const_on_value_type<ActualRhsType>::type rhs = RhsBlasTraits::extract(a_rhs);
+
+    Scalar actualAlpha = alpha * LhsBlasTraits::extractScalarFactor(a_lhs)
+                               * RhsBlasTraits::extractScalarFactor(a_rhs);
+
+    enum {
+      EvalToDest = (Dest::InnerStrideAtCompileTime==1),
+      UseRhs = (ActualRhsTypeCleaned::InnerStrideAtCompileTime==1)
+    };
+    
+    internal::gemv_static_vector_if<ResScalar,Dest::SizeAtCompileTime,Dest::MaxSizeAtCompileTime,!EvalToDest> static_dest;
+    internal::gemv_static_vector_if<RhsScalar,ActualRhsTypeCleaned::SizeAtCompileTime,ActualRhsTypeCleaned::MaxSizeAtCompileTime,!UseRhs> static_rhs;
+
+    ei_declare_aligned_stack_constructed_variable(ResScalar,actualDestPtr,dest.size(),
+                                                  EvalToDest ? dest.data() : static_dest.data());
+                                                  
+    ei_declare_aligned_stack_constructed_variable(RhsScalar,actualRhsPtr,rhs.size(),
+        UseRhs ? const_cast<RhsScalar*>(rhs.data()) : static_rhs.data());
+    
+    if(!EvalToDest)
+    {
+      #ifdef EIGEN_DENSE_STORAGE_CTOR_PLUGIN
+      Index size = dest.size();
+      EIGEN_DENSE_STORAGE_CTOR_PLUGIN
+      #endif
+      MappedDest(actualDestPtr, dest.size()) = dest;
+    }
+      
+    if(!UseRhs)
+    {
+      #ifdef EIGEN_DENSE_STORAGE_CTOR_PLUGIN
+      Index size = rhs.size();
+      EIGEN_DENSE_STORAGE_CTOR_PLUGIN
+      #endif
+      Map<typename ActualRhsTypeCleaned::PlainObject>(actualRhsPtr, rhs.size()) = rhs;
+    }
+      
+      
+    internal::selfadjoint_matrix_vector_product<Scalar, Index, (internal::traits<ActualLhsTypeCleaned>::Flags&RowMajorBit) ? RowMajor : ColMajor,
+                                                int(LhsUpLo), bool(LhsBlasTraits::NeedToConjugate), bool(RhsBlasTraits::NeedToConjugate)>::run
+      (
+        lhs.rows(),                             // size
+        &lhs.coeffRef(0,0),  lhs.outerStride(), // lhs info
+        actualRhsPtr,                           // rhs info
+        actualDestPtr,                          // result info
+        actualAlpha                             // scale factor
+      );
+    
+    if(!EvalToDest)
+      dest = MappedDest(actualDestPtr, dest.size());
+  }
+};
+
+template<typename Lhs, typename Rhs, int RhsMode>
+struct selfadjoint_product_impl<Lhs,0,true,Rhs,RhsMode,false>
+{
+  typedef typename Product<Lhs,Rhs>::Scalar Scalar;
+  enum { RhsUpLo = RhsMode&(Upper|Lower)  };
+
+  template<typename Dest>
+  static void run(Dest& dest, const Lhs &a_lhs, const Rhs &a_rhs, const Scalar& alpha)
+  {
+    // let's simply transpose the product
+    Transpose<Dest> destT(dest);
+    selfadjoint_product_impl<Transpose<const Rhs>, int(RhsUpLo)==Upper ? Lower : Upper, false,
+                             Transpose<const Lhs>, 0, true>::run(destT, a_rhs.transpose(), a_lhs.transpose(), alpha);
+  }
+};
+
+} // end namespace internal
+
+} // end namespace Eigen
+
+#endif // EIGEN_SELFADJOINT_MATRIX_VECTOR_H
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector_BLAS.h
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector_BLAS.h	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector_BLAS.h	(revision 3761)
@@ -0,0 +1,118 @@
+/*
+ Copyright (c) 2011, Intel Corporation. All rights reserved.
+
+ Redistribution and use in source and binary forms, with or without modification,
+ are permitted provided that the following conditions are met:
+
+ * Redistributions of source code must retain the above copyright notice, this
+   list of conditions and the following disclaimer.
+ * Redistributions in binary form must reproduce the above copyright notice,
+   this list of conditions and the following disclaimer in the documentation
+   and/or other materials provided with the distribution.
+ * Neither the name of Intel Corporation nor the names of its contributors may
+   be used to endorse or promote products derived from this software without
+   specific prior written permission.
+
+ THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND
+ ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED
+ WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
+ DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE LIABLE FOR
+ ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES
+ (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES;
+ LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON
+ ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
+ (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS
+ SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
+
+ ********************************************************************************
+ *   Content : Eigen bindings to BLAS F77
+ *   Selfadjoint matrix-vector product functionality based on ?SYMV/HEMV.
+ ********************************************************************************
+*/
+
+#ifndef EIGEN_SELFADJOINT_MATRIX_VECTOR_BLAS_H
+#define EIGEN_SELFADJOINT_MATRIX_VECTOR_BLAS_H
+
+namespace Eigen { 
+
+namespace internal {
+
+/**********************************************************************
+* This file implements selfadjoint matrix-vector multiplication using BLAS
+**********************************************************************/
+
+// symv/hemv specialization
+
+template<typename Scalar, typename Index, int StorageOrder, int UpLo, bool ConjugateLhs, bool ConjugateRhs>
+struct selfadjoint_matrix_vector_product_symv :
+  selfadjoint_matrix_vector_product<Scalar,Index,StorageOrder,UpLo,ConjugateLhs,ConjugateRhs,BuiltIn> {};
+
+#define EIGEN_BLAS_SYMV_SPECIALIZE(Scalar) \
+template<typename Index, int StorageOrder, int UpLo, bool ConjugateLhs, bool ConjugateRhs> \
+struct selfadjoint_matrix_vector_product<Scalar,Index,StorageOrder,UpLo,ConjugateLhs,ConjugateRhs,Specialized> { \
+static void run( \
+  Index size, const Scalar*  lhs, Index lhsStride, \
+  const Scalar* _rhs, Scalar* res, Scalar alpha) { \
+    enum {\
+      IsColMajor = StorageOrder==ColMajor \
+    }; \
+    if (IsColMajor == ConjugateLhs) {\
+      selfadjoint_matrix_vector_product<Scalar,Index,StorageOrder,UpLo,ConjugateLhs,ConjugateRhs,BuiltIn>::run( \
+        size, lhs, lhsStride, _rhs, res, alpha);  \
+    } else {\
+      selfadjoint_matrix_vector_product_symv<Scalar,Index,StorageOrder,UpLo,ConjugateLhs,ConjugateRhs>::run( \
+        size, lhs, lhsStride, _rhs, res, alpha);  \
+    }\
+  } \
+}; \
+
+EIGEN_BLAS_SYMV_SPECIALIZE(double)
+EIGEN_BLAS_SYMV_SPECIALIZE(float)
+EIGEN_BLAS_SYMV_SPECIALIZE(dcomplex)
+EIGEN_BLAS_SYMV_SPECIALIZE(scomplex)
+
+#define EIGEN_BLAS_SYMV_SPECIALIZATION(EIGTYPE,BLASTYPE,BLASFUNC) \
+template<typename Index, int StorageOrder, int UpLo, bool ConjugateLhs, bool ConjugateRhs> \
+struct selfadjoint_matrix_vector_product_symv<EIGTYPE,Index,StorageOrder,UpLo,ConjugateLhs,ConjugateRhs> \
+{ \
+typedef Matrix<EIGTYPE,Dynamic,1,ColMajor> SYMVVector;\
+\
+static void run( \
+Index size, const EIGTYPE*  lhs, Index lhsStride, \
+const EIGTYPE* _rhs, EIGTYPE* res, EIGTYPE alpha) \
+{ \
+  enum {\
+    IsRowMajor = StorageOrder==RowMajor ? 1 : 0, \
+    IsLower = UpLo == Lower ? 1 : 0 \
+  }; \
+  BlasIndex n=convert_index<BlasIndex>(size), lda=convert_index<BlasIndex>(lhsStride), incx=1, incy=1; \
+  EIGTYPE beta(1); \
+  const EIGTYPE *x_ptr; \
+  char uplo=(IsRowMajor) ? (IsLower ? 'U' : 'L') : (IsLower ? 'L' : 'U'); \
+  SYMVVector x_tmp; \
+  if (ConjugateRhs) { \
+    Map<const SYMVVector, 0 > map_x(_rhs,size,1); \
+    x_tmp=map_x.conjugate(); \
+    x_ptr=x_tmp.data(); \
+  } else x_ptr=_rhs; \
+  BLASFUNC(&uplo, &n, (const BLASTYPE*)&numext::real_ref(alpha), (const BLASTYPE*)lhs, &lda, (const BLASTYPE*)x_ptr, &incx, (const BLASTYPE*)&numext::real_ref(beta), (BLASTYPE*)res, &incy); \
+}\
+};
+
+#ifdef EIGEN_USE_MKL
+EIGEN_BLAS_SYMV_SPECIALIZATION(double,   double, dsymv)
+EIGEN_BLAS_SYMV_SPECIALIZATION(float,    float,  ssymv)
+EIGEN_BLAS_SYMV_SPECIALIZATION(dcomplex, MKL_Complex16, zhemv)
+EIGEN_BLAS_SYMV_SPECIALIZATION(scomplex, MKL_Complex8,  chemv)
+#else
+EIGEN_BLAS_SYMV_SPECIALIZATION(double,   double, dsymv_)
+EIGEN_BLAS_SYMV_SPECIALIZATION(float,    float,  ssymv_)
+EIGEN_BLAS_SYMV_SPECIALIZATION(dcomplex, double, zhemv_)
+EIGEN_BLAS_SYMV_SPECIALIZATION(scomplex, float,  chemv_)
+#endif
+
+} // end namespace internal
+
+} // end namespace Eigen
+
+#endif // EIGEN_SELFADJOINT_MATRIX_VECTOR_BLAS_H
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixMatrix.h
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixMatrix.h	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixMatrix.h	(revision 3761)
@@ -0,0 +1,527 @@
+// This file is part of Eigen, a lightweight C++ template library
+// for linear algebra.
+//
+// Copyright (C) 2009 Gael Guennebaud <gael.guennebaud@inria.fr>
+//
+// This Source Code Form is subject to the terms of the Mozilla
+// Public License v. 2.0. If a copy of the MPL was not distributed
+// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
+
+#ifndef EIGEN_SELFADJOINT_MATRIX_MATRIX_H
+#define EIGEN_SELFADJOINT_MATRIX_MATRIX_H
+
+namespace Eigen { 
+
+namespace internal {
+
+// pack a selfadjoint block diagonal for use with the gebp_kernel
+template<typename Scalar, typename Index, int Pack1, int Pack2_dummy, int StorageOrder>
+struct symm_pack_lhs
+{
+  template<int BlockRows> inline
+  void pack(Scalar* blockA, const const_blas_data_mapper<Scalar,Index,StorageOrder>& lhs, Index cols, Index i, Index& count)
+  {
+    // normal copy
+    for(Index k=0; k<i; k++)
+      for(Index w=0; w<BlockRows; w++)
+        blockA[count++] = lhs(i+w,k);           // normal
+    // symmetric copy
+    Index h = 0;
+    for(Index k=i; k<i+BlockRows; k++)
+    {
+      for(Index w=0; w<h; w++)
+        blockA[count++] = numext::conj(lhs(k, i+w)); // transposed
+
+      blockA[count++] = numext::real(lhs(k,k));   // real (diagonal)
+
+      for(Index w=h+1; w<BlockRows; w++)
+        blockA[count++] = lhs(i+w, k);          // normal
+      ++h;
+    }
+    // transposed copy
+    for(Index k=i+BlockRows; k<cols; k++)
+      for(Index w=0; w<BlockRows; w++)
+        blockA[count++] = numext::conj(lhs(k, i+w)); // transposed
+  }
+  void operator()(Scalar* blockA, const Scalar* _lhs, Index lhsStride, Index cols, Index rows)
+  {
+    enum { PacketSize = packet_traits<Scalar>::size };
+    const_blas_data_mapper<Scalar,Index,StorageOrder> lhs(_lhs,lhsStride);
+    Index count = 0;
+    //Index peeled_mc3 = (rows/Pack1)*Pack1;
+    
+    const Index peeled_mc3 = Pack1>=3*PacketSize ? (rows/(3*PacketSize))*(3*PacketSize) : 0;
+    const Index peeled_mc2 = Pack1>=2*PacketSize ? peeled_mc3+((rows-peeled_mc3)/(2*PacketSize))*(2*PacketSize) : 0;
+    const Index peeled_mc1 = Pack1>=1*PacketSize ? (rows/(1*PacketSize))*(1*PacketSize) : 0;
+    
+    if(Pack1>=3*PacketSize)
+      for(Index i=0; i<peeled_mc3; i+=3*PacketSize)
+        pack<3*PacketSize>(blockA, lhs, cols, i, count);
+    
+    if(Pack1>=2*PacketSize)
+      for(Index i=peeled_mc3; i<peeled_mc2; i+=2*PacketSize)
+        pack<2*PacketSize>(blockA, lhs, cols, i, count);
+    
+    if(Pack1>=1*PacketSize)
+      for(Index i=peeled_mc2; i<peeled_mc1; i+=1*PacketSize)
+        pack<1*PacketSize>(blockA, lhs, cols, i, count);
+
+    // do the same with mr==1
+    for(Index i=peeled_mc1; i<rows; i++)
+    {
+      for(Index k=0; k<i; k++)
+        blockA[count++] = lhs(i, k);                   // normal
+
+      blockA[count++] = numext::real(lhs(i, i));       // real (diagonal)
+
+      for(Index k=i+1; k<cols; k++)
+        blockA[count++] = numext::conj(lhs(k, i));     // transposed
+    }
+  }
+};
+
+template<typename Scalar, typename Index, int nr, int StorageOrder>
+struct symm_pack_rhs
+{
+  enum { PacketSize = packet_traits<Scalar>::size };
+  void operator()(Scalar* blockB, const Scalar* _rhs, Index rhsStride, Index rows, Index cols, Index k2)
+  {
+    Index end_k = k2 + rows;
+    Index count = 0;
+    const_blas_data_mapper<Scalar,Index,StorageOrder> rhs(_rhs,rhsStride);
+    Index packet_cols8 = nr>=8 ? (cols/8) * 8 : 0;
+    Index packet_cols4 = nr>=4 ? (cols/4) * 4 : 0;
+
+    // first part: normal case
+    for(Index j2=0; j2<k2; j2+=nr)
+    {
+      for(Index k=k2; k<end_k; k++)
+      {
+        blockB[count+0] = rhs(k,j2+0);
+        blockB[count+1] = rhs(k,j2+1);
+        if (nr>=4)
+        {
+          blockB[count+2] = rhs(k,j2+2);
+          blockB[count+3] = rhs(k,j2+3);
+        }
+        if (nr>=8)
+        {
+          blockB[count+4] = rhs(k,j2+4);
+          blockB[count+5] = rhs(k,j2+5);
+          blockB[count+6] = rhs(k,j2+6);
+          blockB[count+7] = rhs(k,j2+7);
+        }
+        count += nr;
+      }
+    }
+
+    // second part: diagonal block
+    Index end8 = nr>=8 ? (std::min)(k2+rows,packet_cols8) : k2;
+    if(nr>=8)
+    {
+      for(Index j2=k2; j2<end8; j2+=8)
+      {
+        // again we can split vertically in three different parts (transpose, symmetric, normal)
+        // transpose
+        for(Index k=k2; k<j2; k++)
+        {
+          blockB[count+0] = numext::conj(rhs(j2+0,k));
+          blockB[count+1] = numext::conj(rhs(j2+1,k));
+          blockB[count+2] = numext::conj(rhs(j2+2,k));
+          blockB[count+3] = numext::conj(rhs(j2+3,k));
+          blockB[count+4] = numext::conj(rhs(j2+4,k));
+          blockB[count+5] = numext::conj(rhs(j2+5,k));
+          blockB[count+6] = numext::conj(rhs(j2+6,k));
+          blockB[count+7] = numext::conj(rhs(j2+7,k));
+          count += 8;
+        }
+        // symmetric
+        Index h = 0;
+        for(Index k=j2; k<j2+8; k++)
+        {
+          // normal
+          for (Index w=0 ; w<h; ++w)
+            blockB[count+w] = rhs(k,j2+w);
+
+          blockB[count+h] = numext::real(rhs(k,k));
+
+          // transpose
+          for (Index w=h+1 ; w<8; ++w)
+            blockB[count+w] = numext::conj(rhs(j2+w,k));
+          count += 8;
+          ++h;
+        }
+        // normal
+        for(Index k=j2+8; k<end_k; k++)
+        {
+          blockB[count+0] = rhs(k,j2+0);
+          blockB[count+1] = rhs(k,j2+1);
+          blockB[count+2] = rhs(k,j2+2);
+          blockB[count+3] = rhs(k,j2+3);
+          blockB[count+4] = rhs(k,j2+4);
+          blockB[count+5] = rhs(k,j2+5);
+          blockB[count+6] = rhs(k,j2+6);
+          blockB[count+7] = rhs(k,j2+7);
+          count += 8;
+        }
+      }
+    }
+    if(nr>=4)
+    {
+      for(Index j2=end8; j2<(std::min)(k2+rows,packet_cols4); j2+=4)
+      {
+        // again we can split vertically in three different parts (transpose, symmetric, normal)
+        // transpose
+        for(Index k=k2; k<j2; k++)
+        {
+          blockB[count+0] = numext::conj(rhs(j2+0,k));
+          blockB[count+1] = numext::conj(rhs(j2+1,k));
+          blockB[count+2] = numext::conj(rhs(j2+2,k));
+          blockB[count+3] = numext::conj(rhs(j2+3,k));
+          count += 4;
+        }
+        // symmetric
+        Index h = 0;
+        for(Index k=j2; k<j2+4; k++)
+        {
+          // normal
+          for (Index w=0 ; w<h; ++w)
+            blockB[count+w] = rhs(k,j2+w);
+
+          blockB[count+h] = numext::real(rhs(k,k));
+
+          // transpose
+          for (Index w=h+1 ; w<4; ++w)
+            blockB[count+w] = numext::conj(rhs(j2+w,k));
+          count += 4;
+          ++h;
+        }
+        // normal
+        for(Index k=j2+4; k<end_k; k++)
+        {
+          blockB[count+0] = rhs(k,j2+0);
+          blockB[count+1] = rhs(k,j2+1);
+          blockB[count+2] = rhs(k,j2+2);
+          blockB[count+3] = rhs(k,j2+3);
+          count += 4;
+        }
+      }
+    }
+
+    // third part: transposed
+    if(nr>=8)
+    {
+      for(Index j2=k2+rows; j2<packet_cols8; j2+=8)
+      {
+        for(Index k=k2; k<end_k; k++)
+        {
+          blockB[count+0] = numext::conj(rhs(j2+0,k));
+          blockB[count+1] = numext::conj(rhs(j2+1,k));
+          blockB[count+2] = numext::conj(rhs(j2+2,k));
+          blockB[count+3] = numext::conj(rhs(j2+3,k));
+          blockB[count+4] = numext::conj(rhs(j2+4,k));
+          blockB[count+5] = numext::conj(rhs(j2+5,k));
+          blockB[count+6] = numext::conj(rhs(j2+6,k));
+          blockB[count+7] = numext::conj(rhs(j2+7,k));
+          count += 8;
+        }
+      }
+    }
+    if(nr>=4)
+    {
+      for(Index j2=(std::max)(packet_cols8,k2+rows); j2<packet_cols4; j2+=4)
+      {
+        for(Index k=k2; k<end_k; k++)
+        {
+          blockB[count+0] = numext::conj(rhs(j2+0,k));
+          blockB[count+1] = numext::conj(rhs(j2+1,k));
+          blockB[count+2] = numext::conj(rhs(j2+2,k));
+          blockB[count+3] = numext::conj(rhs(j2+3,k));
+          count += 4;
+        }
+      }
+    }
+
+    // copy the remaining columns one at a time (=> the same with nr==1)
+    for(Index j2=packet_cols4; j2<cols; ++j2)
+    {
+      // transpose
+      Index half = (std::min)(end_k,j2);
+      for(Index k=k2; k<half; k++)
+      {
+        blockB[count] = numext::conj(rhs(j2,k));
+        count += 1;
+      }
+
+      if(half==j2 && half<k2+rows)
+      {
+        blockB[count] = numext::real(rhs(j2,j2));
+        count += 1;
+      }
+      else
+        half--;
+
+      // normal
+      for(Index k=half+1; k<k2+rows; k++)
+      {
+        blockB[count] = rhs(k,j2);
+        count += 1;
+      }
+    }
+  }
+};
+
+/* Optimized selfadjoint matrix * matrix (_SYMM) product built on top of
+ * the general matrix matrix product.
+ */
+template <typename Scalar, typename Index,
+          int LhsStorageOrder, bool LhsSelfAdjoint, bool ConjugateLhs,
+          int RhsStorageOrder, bool RhsSelfAdjoint, bool ConjugateRhs,
+          int ResStorageOrder, int ResInnerStride>
+struct product_selfadjoint_matrix;
+
+template <typename Scalar, typename Index,
+          int LhsStorageOrder, bool LhsSelfAdjoint, bool ConjugateLhs,
+          int RhsStorageOrder, bool RhsSelfAdjoint, bool ConjugateRhs,
+          int ResInnerStride>
+struct product_selfadjoint_matrix<Scalar,Index,LhsStorageOrder,LhsSelfAdjoint,ConjugateLhs, RhsStorageOrder,RhsSelfAdjoint,ConjugateRhs,RowMajor,ResInnerStride>
+{
+
+  static EIGEN_STRONG_INLINE void run(
+    Index rows, Index cols,
+    const Scalar* lhs, Index lhsStride,
+    const Scalar* rhs, Index rhsStride,
+    Scalar* res,       Index resIncr, Index resStride,
+    const Scalar& alpha, level3_blocking<Scalar,Scalar>& blocking)
+  {
+    product_selfadjoint_matrix<Scalar, Index,
+      EIGEN_LOGICAL_XOR(RhsSelfAdjoint,RhsStorageOrder==RowMajor) ? ColMajor : RowMajor,
+      RhsSelfAdjoint, NumTraits<Scalar>::IsComplex && EIGEN_LOGICAL_XOR(RhsSelfAdjoint,ConjugateRhs),
+      EIGEN_LOGICAL_XOR(LhsSelfAdjoint,LhsStorageOrder==RowMajor) ? ColMajor : RowMajor,
+      LhsSelfAdjoint, NumTraits<Scalar>::IsComplex && EIGEN_LOGICAL_XOR(LhsSelfAdjoint,ConjugateLhs),
+      ColMajor,ResInnerStride>
+      ::run(cols, rows,  rhs, rhsStride,  lhs, lhsStride,  res, resIncr, resStride,  alpha, blocking);
+  }
+};
+
+template <typename Scalar, typename Index,
+          int LhsStorageOrder, bool ConjugateLhs,
+          int RhsStorageOrder, bool ConjugateRhs,
+          int ResInnerStride>
+struct product_selfadjoint_matrix<Scalar,Index,LhsStorageOrder,true,ConjugateLhs, RhsStorageOrder,false,ConjugateRhs,ColMajor,ResInnerStride>
+{
+
+  static EIGEN_DONT_INLINE void run(
+    Index rows, Index cols,
+    const Scalar* _lhs, Index lhsStride,
+    const Scalar* _rhs, Index rhsStride,
+    Scalar* res,        Index resIncr, Index resStride,
+    const Scalar& alpha, level3_blocking<Scalar,Scalar>& blocking);
+};
+
+template <typename Scalar, typename Index,
+          int LhsStorageOrder, bool ConjugateLhs,
+          int RhsStorageOrder, bool ConjugateRhs,
+          int ResInnerStride>
+EIGEN_DONT_INLINE void product_selfadjoint_matrix<Scalar,Index,LhsStorageOrder,true,ConjugateLhs, RhsStorageOrder,false,ConjugateRhs,ColMajor,ResInnerStride>::run(
+    Index rows, Index cols,
+    const Scalar* _lhs, Index lhsStride,
+    const Scalar* _rhs, Index rhsStride,
+    Scalar* _res,       Index resIncr, Index resStride,
+    const Scalar& alpha, level3_blocking<Scalar,Scalar>& blocking)
+  {
+    Index size = rows;
+
+    typedef gebp_traits<Scalar,Scalar> Traits;
+
+    typedef const_blas_data_mapper<Scalar, Index, LhsStorageOrder> LhsMapper;
+    typedef const_blas_data_mapper<Scalar, Index, (LhsStorageOrder == RowMajor) ? ColMajor : RowMajor> LhsTransposeMapper;
+    typedef const_blas_data_mapper<Scalar, Index, RhsStorageOrder> RhsMapper;
+    typedef blas_data_mapper<typename Traits::ResScalar, Index, ColMajor, Unaligned, ResInnerStride> ResMapper;
+    LhsMapper lhs(_lhs,lhsStride);
+    LhsTransposeMapper lhs_transpose(_lhs,lhsStride);
+    RhsMapper rhs(_rhs,rhsStride);
+    ResMapper res(_res, resStride, resIncr);
+
+    Index kc = blocking.kc();                   // cache block size along the K direction
+    Index mc = (std::min)(rows,blocking.mc());  // cache block size along the M direction
+    // kc must be smaller than mc
+    kc = (std::min)(kc,mc);
+    std::size_t sizeA = kc*mc;
+    std::size_t sizeB = kc*cols;
+    ei_declare_aligned_stack_constructed_variable(Scalar, blockA, sizeA, blocking.blockA());
+    ei_declare_aligned_stack_constructed_variable(Scalar, blockB, sizeB, blocking.blockB());
+
+    gebp_kernel<Scalar, Scalar, Index, ResMapper, Traits::mr, Traits::nr, ConjugateLhs, ConjugateRhs> gebp_kernel;
+    symm_pack_lhs<Scalar, Index, Traits::mr, Traits::LhsProgress, LhsStorageOrder> pack_lhs;
+    gemm_pack_rhs<Scalar, Index, RhsMapper, Traits::nr,RhsStorageOrder> pack_rhs;
+    gemm_pack_lhs<Scalar, Index, LhsTransposeMapper, Traits::mr, Traits::LhsProgress, LhsStorageOrder==RowMajor?ColMajor:RowMajor, true> pack_lhs_transposed;
+
+    for(Index k2=0; k2<size; k2+=kc)
+    {
+      const Index actual_kc = (std::min)(k2+kc,size)-k2;
+
+      // we have selected one row panel of rhs and one column panel of lhs
+      // pack rhs's panel into a sequential chunk of memory
+      // and expand each coeff to a constant packet for further reuse
+      pack_rhs(blockB, rhs.getSubMapper(k2,0), actual_kc, cols);
+
+      // the select lhs's panel has to be split in three different parts:
+      //  1 - the transposed panel above the diagonal block => transposed packed copy
+      //  2 - the diagonal block => special packed copy
+      //  3 - the panel below the diagonal block => generic packed copy
+      for(Index i2=0; i2<k2; i2+=mc)
+      {
+        const Index actual_mc = (std::min)(i2+mc,k2)-i2;
+        // transposed packed copy
+        pack_lhs_transposed(blockA, lhs_transpose.getSubMapper(i2, k2), actual_kc, actual_mc);
+
+        gebp_kernel(res.getSubMapper(i2, 0), blockA, blockB, actual_mc, actual_kc, cols, alpha);
+      }
+      // the block diagonal
+      {
+        const Index actual_mc = (std::min)(k2+kc,size)-k2;
+        // symmetric packed copy
+        pack_lhs(blockA, &lhs(k2,k2), lhsStride, actual_kc, actual_mc);
+
+        gebp_kernel(res.getSubMapper(k2, 0), blockA, blockB, actual_mc, actual_kc, cols, alpha);
+      }
+
+      for(Index i2=k2+kc; i2<size; i2+=mc)
+      {
+        const Index actual_mc = (std::min)(i2+mc,size)-i2;
+        gemm_pack_lhs<Scalar, Index, LhsMapper, Traits::mr, Traits::LhsProgress, LhsStorageOrder,false>()
+          (blockA, lhs.getSubMapper(i2, k2), actual_kc, actual_mc);
+
+        gebp_kernel(res.getSubMapper(i2, 0), blockA, blockB, actual_mc, actual_kc, cols, alpha);
+      }
+    }
+  }
+
+// matrix * selfadjoint product
+template <typename Scalar, typename Index,
+          int LhsStorageOrder, bool ConjugateLhs,
+          int RhsStorageOrder, bool ConjugateRhs,
+          int ResInnerStride>
+struct product_selfadjoint_matrix<Scalar,Index,LhsStorageOrder,false,ConjugateLhs, RhsStorageOrder,true,ConjugateRhs,ColMajor,ResInnerStride>
+{
+
+  static EIGEN_DONT_INLINE void run(
+    Index rows, Index cols,
+    const Scalar* _lhs, Index lhsStride,
+    const Scalar* _rhs, Index rhsStride,
+    Scalar* res,        Index resIncr, Index resStride,
+    const Scalar& alpha, level3_blocking<Scalar,Scalar>& blocking);
+};
+
+template <typename Scalar, typename Index,
+          int LhsStorageOrder, bool ConjugateLhs,
+          int RhsStorageOrder, bool ConjugateRhs,
+          int ResInnerStride>
+EIGEN_DONT_INLINE void product_selfadjoint_matrix<Scalar,Index,LhsStorageOrder,false,ConjugateLhs, RhsStorageOrder,true,ConjugateRhs,ColMajor,ResInnerStride>::run(
+    Index rows, Index cols,
+    const Scalar* _lhs, Index lhsStride,
+    const Scalar* _rhs, Index rhsStride,
+    Scalar* _res,       Index resIncr, Index resStride,
+    const Scalar& alpha, level3_blocking<Scalar,Scalar>& blocking)
+  {
+    Index size = cols;
+
+    typedef gebp_traits<Scalar,Scalar> Traits;
+
+    typedef const_blas_data_mapper<Scalar, Index, LhsStorageOrder> LhsMapper;
+    typedef blas_data_mapper<typename Traits::ResScalar, Index, ColMajor, Unaligned, ResInnerStride> ResMapper;
+    LhsMapper lhs(_lhs,lhsStride);
+    ResMapper res(_res,resStride, resIncr);
+
+    Index kc = blocking.kc();                   // cache block size along the K direction
+    Index mc = (std::min)(rows,blocking.mc());  // cache block size along the M direction
+    std::size_t sizeA = kc*mc;
+    std::size_t sizeB = kc*cols;
+    ei_declare_aligned_stack_constructed_variable(Scalar, blockA, sizeA, blocking.blockA());
+    ei_declare_aligned_stack_constructed_variable(Scalar, blockB, sizeB, blocking.blockB());
+
+    gebp_kernel<Scalar, Scalar, Index, ResMapper, Traits::mr, Traits::nr, ConjugateLhs, ConjugateRhs> gebp_kernel;
+    gemm_pack_lhs<Scalar, Index, LhsMapper, Traits::mr, Traits::LhsProgress, LhsStorageOrder> pack_lhs;
+    symm_pack_rhs<Scalar, Index, Traits::nr,RhsStorageOrder> pack_rhs;
+
+    for(Index k2=0; k2<size; k2+=kc)
+    {
+      const Index actual_kc = (std::min)(k2+kc,size)-k2;
+
+      pack_rhs(blockB, _rhs, rhsStride, actual_kc, cols, k2);
+
+      // => GEPP
+      for(Index i2=0; i2<rows; i2+=mc)
+      {
+        const Index actual_mc = (std::min)(i2+mc,rows)-i2;
+        pack_lhs(blockA, lhs.getSubMapper(i2, k2), actual_kc, actual_mc);
+
+        gebp_kernel(res.getSubMapper(i2, 0), blockA, blockB, actual_mc, actual_kc, cols, alpha);
+      }
+    }
+  }
+
+} // end namespace internal
+
+/***************************************************************************
+* Wrapper to product_selfadjoint_matrix
+***************************************************************************/
+
+namespace internal {
+  
+template<typename Lhs, int LhsMode, typename Rhs, int RhsMode>
+struct selfadjoint_product_impl<Lhs,LhsMode,false,Rhs,RhsMode,false>
+{
+  typedef typename Product<Lhs,Rhs>::Scalar Scalar;
+  
+  typedef internal::blas_traits<Lhs> LhsBlasTraits;
+  typedef typename LhsBlasTraits::DirectLinearAccessType ActualLhsType;
+  typedef internal::blas_traits<Rhs> RhsBlasTraits;
+  typedef typename RhsBlasTraits::DirectLinearAccessType ActualRhsType;
+  
+  enum {
+    LhsIsUpper = (LhsMode&(Upper|Lower))==Upper,
+    LhsIsSelfAdjoint = (LhsMode&SelfAdjoint)==SelfAdjoint,
+    RhsIsUpper = (RhsMode&(Upper|Lower))==Upper,
+    RhsIsSelfAdjoint = (RhsMode&SelfAdjoint)==SelfAdjoint
+  };
+  
+  template<typename Dest>
+  static void run(Dest &dst, const Lhs &a_lhs, const Rhs &a_rhs, const Scalar& alpha)
+  {
+    eigen_assert(dst.rows()==a_lhs.rows() && dst.cols()==a_rhs.cols());
+
+    typename internal::add_const_on_value_type<ActualLhsType>::type lhs = LhsBlasTraits::extract(a_lhs);
+    typename internal::add_const_on_value_type<ActualRhsType>::type rhs = RhsBlasTraits::extract(a_rhs);
+
+    Scalar actualAlpha = alpha * LhsBlasTraits::extractScalarFactor(a_lhs)
+                               * RhsBlasTraits::extractScalarFactor(a_rhs);
+
+    typedef internal::gemm_blocking_space<(Dest::Flags&RowMajorBit) ? RowMajor : ColMajor,Scalar,Scalar,
+              Lhs::MaxRowsAtCompileTime, Rhs::MaxColsAtCompileTime, Lhs::MaxColsAtCompileTime,1> BlockingType;
+
+    BlockingType blocking(lhs.rows(), rhs.cols(), lhs.cols(), 1, false);
+
+    internal::product_selfadjoint_matrix<Scalar, Index,
+      EIGEN_LOGICAL_XOR(LhsIsUpper,internal::traits<Lhs>::Flags &RowMajorBit) ? RowMajor : ColMajor, LhsIsSelfAdjoint,
+      NumTraits<Scalar>::IsComplex && EIGEN_LOGICAL_XOR(LhsIsUpper,bool(LhsBlasTraits::NeedToConjugate)),
+      EIGEN_LOGICAL_XOR(RhsIsUpper,internal::traits<Rhs>::Flags &RowMajorBit) ? RowMajor : ColMajor, RhsIsSelfAdjoint,
+      NumTraits<Scalar>::IsComplex && EIGEN_LOGICAL_XOR(RhsIsUpper,bool(RhsBlasTraits::NeedToConjugate)),
+      internal::traits<Dest>::Flags&RowMajorBit  ? RowMajor : ColMajor,
+      Dest::InnerStrideAtCompileTime>
+      ::run(
+        lhs.rows(), rhs.cols(),                 // sizes
+        &lhs.coeffRef(0,0), lhs.outerStride(),  // lhs info
+        &rhs.coeffRef(0,0), rhs.outerStride(),  // rhs info
+        &dst.coeffRef(0,0), dst.innerStride(), dst.outerStride(),  // result info
+        actualAlpha, blocking                   // alpha
+      );
+  }
+};
+
+} // end namespace internal
+
+} // end namespace Eigen
+
+#endif // EIGEN_SELFADJOINT_MATRIX_MATRIX_H
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixMatrix_BLAS.h
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixMatrix_BLAS.h	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixMatrix_BLAS.h	(revision 3761)
@@ -0,0 +1,295 @@
+/*
+ Copyright (c) 2011, Intel Corporation. All rights reserved.
+
+ Redistribution and use in source and binary forms, with or without modification,
+ are permitted provided that the following conditions are met:
+
+ * Redistributions of source code must retain the above copyright notice, this
+   list of conditions and the following disclaimer.
+ * Redistributions in binary form must reproduce the above copyright notice,
+   this list of conditions and the following disclaimer in the documentation
+   and/or other materials provided with the distribution.
+ * Neither the name of Intel Corporation nor the names of its contributors may
+   be used to endorse or promote products derived from this software without
+   specific prior written permission.
+
+ THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND
+ ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED
+ WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
+ DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE LIABLE FOR
+ ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES
+ (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES;
+ LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON
+ ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
+ (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS
+ SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
+//
+ ********************************************************************************
+ *   Content : Eigen bindings to BLAS F77
+ *   Self adjoint matrix * matrix product functionality based on ?SYMM/?HEMM.
+ ********************************************************************************
+*/
+
+#ifndef EIGEN_SELFADJOINT_MATRIX_MATRIX_BLAS_H
+#define EIGEN_SELFADJOINT_MATRIX_MATRIX_BLAS_H
+
+namespace Eigen { 
+
+namespace internal {
+
+
+/* Optimized selfadjoint matrix * matrix (?SYMM/?HEMM) product */
+
+#define EIGEN_BLAS_SYMM_L(EIGTYPE, BLASTYPE, EIGPREFIX, BLASFUNC) \
+template <typename Index, \
+          int LhsStorageOrder, bool ConjugateLhs, \
+          int RhsStorageOrder, bool ConjugateRhs> \
+struct product_selfadjoint_matrix<EIGTYPE,Index,LhsStorageOrder,true,ConjugateLhs,RhsStorageOrder,false,ConjugateRhs,ColMajor,1> \
+{\
+\
+  static void run( \
+    Index rows, Index cols, \
+    const EIGTYPE* _lhs, Index lhsStride, \
+    const EIGTYPE* _rhs, Index rhsStride, \
+    EIGTYPE* res,        Index resIncr, Index resStride, \
+    EIGTYPE alpha, level3_blocking<EIGTYPE, EIGTYPE>& /*blocking*/) \
+  { \
+    EIGEN_ONLY_USED_FOR_DEBUG(resIncr); \
+    eigen_assert(resIncr == 1); \
+    char side='L', uplo='L'; \
+    BlasIndex m, n, lda, ldb, ldc; \
+    const EIGTYPE *a, *b; \
+    EIGTYPE beta(1); \
+    MatrixX##EIGPREFIX b_tmp; \
+\
+/* Set transpose options */ \
+/* Set m, n, k */ \
+    m = convert_index<BlasIndex>(rows);  \
+    n = convert_index<BlasIndex>(cols);  \
+\
+/* Set lda, ldb, ldc */ \
+    lda = convert_index<BlasIndex>(lhsStride); \
+    ldb = convert_index<BlasIndex>(rhsStride); \
+    ldc = convert_index<BlasIndex>(resStride); \
+\
+/* Set a, b, c */ \
+    if (LhsStorageOrder==RowMajor) uplo='U'; \
+    a = _lhs; \
+\
+    if (RhsStorageOrder==RowMajor) { \
+      Map<const MatrixX##EIGPREFIX, 0, OuterStride<> > rhs(_rhs,n,m,OuterStride<>(rhsStride)); \
+      b_tmp = rhs.adjoint(); \
+      b = b_tmp.data(); \
+      ldb = convert_index<BlasIndex>(b_tmp.outerStride()); \
+    } else b = _rhs; \
+\
+    BLASFUNC(&side, &uplo, &m, &n, (const BLASTYPE*)&numext::real_ref(alpha), (const BLASTYPE*)a, &lda, (const BLASTYPE*)b, &ldb, (const BLASTYPE*)&numext::real_ref(beta), (BLASTYPE*)res, &ldc); \
+\
+  } \
+};
+
+
+#define EIGEN_BLAS_HEMM_L(EIGTYPE, BLASTYPE, EIGPREFIX, BLASFUNC) \
+template <typename Index, \
+          int LhsStorageOrder, bool ConjugateLhs, \
+          int RhsStorageOrder, bool ConjugateRhs> \
+struct product_selfadjoint_matrix<EIGTYPE,Index,LhsStorageOrder,true,ConjugateLhs,RhsStorageOrder,false,ConjugateRhs,ColMajor,1> \
+{\
+  static void run( \
+    Index rows, Index cols, \
+    const EIGTYPE* _lhs, Index lhsStride, \
+    const EIGTYPE* _rhs, Index rhsStride, \
+    EIGTYPE* res,        Index resIncr, Index resStride, \
+    EIGTYPE alpha, level3_blocking<EIGTYPE, EIGTYPE>& /*blocking*/) \
+  { \
+    EIGEN_ONLY_USED_FOR_DEBUG(resIncr); \
+    eigen_assert(resIncr == 1); \
+    char side='L', uplo='L'; \
+    BlasIndex m, n, lda, ldb, ldc; \
+    const EIGTYPE *a, *b; \
+    EIGTYPE beta(1); \
+    MatrixX##EIGPREFIX b_tmp; \
+    Matrix<EIGTYPE, Dynamic, Dynamic, LhsStorageOrder> a_tmp; \
+\
+/* Set transpose options */ \
+/* Set m, n, k */ \
+    m = convert_index<BlasIndex>(rows); \
+    n = convert_index<BlasIndex>(cols); \
+\
+/* Set lda, ldb, ldc */ \
+    lda = convert_index<BlasIndex>(lhsStride); \
+    ldb = convert_index<BlasIndex>(rhsStride); \
+    ldc = convert_index<BlasIndex>(resStride); \
+\
+/* Set a, b, c */ \
+    if (((LhsStorageOrder==ColMajor) && ConjugateLhs) || ((LhsStorageOrder==RowMajor) && (!ConjugateLhs))) { \
+      Map<const Matrix<EIGTYPE, Dynamic, Dynamic, LhsStorageOrder>, 0, OuterStride<> > lhs(_lhs,m,m,OuterStride<>(lhsStride)); \
+      a_tmp = lhs.conjugate(); \
+      a = a_tmp.data(); \
+      lda = convert_index<BlasIndex>(a_tmp.outerStride()); \
+    } else a = _lhs; \
+    if (LhsStorageOrder==RowMajor) uplo='U'; \
+\
+    if (RhsStorageOrder==ColMajor && (!ConjugateRhs)) { \
+       b = _rhs; } \
+    else { \
+      if (RhsStorageOrder==ColMajor && ConjugateRhs) { \
+        Map<const MatrixX##EIGPREFIX, 0, OuterStride<> > rhs(_rhs,m,n,OuterStride<>(rhsStride)); \
+        b_tmp = rhs.conjugate(); \
+      } else \
+      if (ConjugateRhs) { \
+        Map<const MatrixX##EIGPREFIX, 0, OuterStride<> > rhs(_rhs,n,m,OuterStride<>(rhsStride)); \
+        b_tmp = rhs.adjoint(); \
+      } else { \
+        Map<const MatrixX##EIGPREFIX, 0, OuterStride<> > rhs(_rhs,n,m,OuterStride<>(rhsStride)); \
+        b_tmp = rhs.transpose(); \
+      } \
+      b = b_tmp.data(); \
+      ldb = convert_index<BlasIndex>(b_tmp.outerStride()); \
+    } \
+\
+    BLASFUNC(&side, &uplo, &m, &n, (const BLASTYPE*)&numext::real_ref(alpha), (const BLASTYPE*)a, &lda, (const BLASTYPE*)b, &ldb, (const BLASTYPE*)&numext::real_ref(beta), (BLASTYPE*)res, &ldc); \
+\
+  } \
+};
+
+#ifdef EIGEN_USE_MKL
+EIGEN_BLAS_SYMM_L(double, double, d, dsymm)
+EIGEN_BLAS_SYMM_L(float, float, f, ssymm)
+EIGEN_BLAS_HEMM_L(dcomplex, MKL_Complex16, cd, zhemm)
+EIGEN_BLAS_HEMM_L(scomplex, MKL_Complex8, cf, chemm)
+#else
+EIGEN_BLAS_SYMM_L(double, double, d, dsymm_)
+EIGEN_BLAS_SYMM_L(float, float, f, ssymm_)
+EIGEN_BLAS_HEMM_L(dcomplex, double, cd, zhemm_)
+EIGEN_BLAS_HEMM_L(scomplex, float, cf, chemm_)
+#endif
+
+/* Optimized matrix * selfadjoint matrix (?SYMM/?HEMM) product */
+
+#define EIGEN_BLAS_SYMM_R(EIGTYPE, BLASTYPE, EIGPREFIX, BLASFUNC) \
+template <typename Index, \
+          int LhsStorageOrder, bool ConjugateLhs, \
+          int RhsStorageOrder, bool ConjugateRhs> \
+struct product_selfadjoint_matrix<EIGTYPE,Index,LhsStorageOrder,false,ConjugateLhs,RhsStorageOrder,true,ConjugateRhs,ColMajor,1> \
+{\
+\
+  static void run( \
+    Index rows, Index cols, \
+    const EIGTYPE* _lhs, Index lhsStride, \
+    const EIGTYPE* _rhs, Index rhsStride, \
+    EIGTYPE* res,        Index resIncr, Index resStride, \
+    EIGTYPE alpha, level3_blocking<EIGTYPE, EIGTYPE>& /*blocking*/) \
+  { \
+    EIGEN_ONLY_USED_FOR_DEBUG(resIncr); \
+    eigen_assert(resIncr == 1); \
+    char side='R', uplo='L'; \
+    BlasIndex m, n, lda, ldb, ldc; \
+    const EIGTYPE *a, *b; \
+    EIGTYPE beta(1); \
+    MatrixX##EIGPREFIX b_tmp; \
+\
+/* Set m, n, k */ \
+    m = convert_index<BlasIndex>(rows);  \
+    n = convert_index<BlasIndex>(cols);  \
+\
+/* Set lda, ldb, ldc */ \
+    lda = convert_index<BlasIndex>(rhsStride); \
+    ldb = convert_index<BlasIndex>(lhsStride); \
+    ldc = convert_index<BlasIndex>(resStride); \
+\
+/* Set a, b, c */ \
+    if (RhsStorageOrder==RowMajor) uplo='U'; \
+    a = _rhs; \
+\
+    if (LhsStorageOrder==RowMajor) { \
+      Map<const MatrixX##EIGPREFIX, 0, OuterStride<> > lhs(_lhs,n,m,OuterStride<>(rhsStride)); \
+      b_tmp = lhs.adjoint(); \
+      b = b_tmp.data(); \
+      ldb = convert_index<BlasIndex>(b_tmp.outerStride()); \
+    } else b = _lhs; \
+\
+    BLASFUNC(&side, &uplo, &m, &n, (const BLASTYPE*)&numext::real_ref(alpha), (const BLASTYPE*)a, &lda, (const BLASTYPE*)b, &ldb, (const BLASTYPE*)&numext::real_ref(beta), (BLASTYPE*)res, &ldc); \
+\
+  } \
+};
+
+
+#define EIGEN_BLAS_HEMM_R(EIGTYPE, BLASTYPE, EIGPREFIX, BLASFUNC) \
+template <typename Index, \
+          int LhsStorageOrder, bool ConjugateLhs, \
+          int RhsStorageOrder, bool ConjugateRhs> \
+struct product_selfadjoint_matrix<EIGTYPE,Index,LhsStorageOrder,false,ConjugateLhs,RhsStorageOrder,true,ConjugateRhs,ColMajor,1> \
+{\
+  static void run( \
+    Index rows, Index cols, \
+    const EIGTYPE* _lhs, Index lhsStride, \
+    const EIGTYPE* _rhs, Index rhsStride, \
+    EIGTYPE* res,        Index resIncr, Index resStride, \
+    EIGTYPE alpha, level3_blocking<EIGTYPE, EIGTYPE>& /*blocking*/) \
+  { \
+    EIGEN_ONLY_USED_FOR_DEBUG(resIncr); \
+    eigen_assert(resIncr == 1); \
+    char side='R', uplo='L'; \
+    BlasIndex m, n, lda, ldb, ldc; \
+    const EIGTYPE *a, *b; \
+    EIGTYPE beta(1); \
+    MatrixX##EIGPREFIX b_tmp; \
+    Matrix<EIGTYPE, Dynamic, Dynamic, RhsStorageOrder> a_tmp; \
+\
+/* Set m, n, k */ \
+    m = convert_index<BlasIndex>(rows); \
+    n = convert_index<BlasIndex>(cols); \
+\
+/* Set lda, ldb, ldc */ \
+    lda = convert_index<BlasIndex>(rhsStride); \
+    ldb = convert_index<BlasIndex>(lhsStride); \
+    ldc = convert_index<BlasIndex>(resStride); \
+\
+/* Set a, b, c */ \
+    if (((RhsStorageOrder==ColMajor) && ConjugateRhs) || ((RhsStorageOrder==RowMajor) && (!ConjugateRhs))) { \
+      Map<const Matrix<EIGTYPE, Dynamic, Dynamic, RhsStorageOrder>, 0, OuterStride<> > rhs(_rhs,n,n,OuterStride<>(rhsStride)); \
+      a_tmp = rhs.conjugate(); \
+      a = a_tmp.data(); \
+      lda = convert_index<BlasIndex>(a_tmp.outerStride()); \
+    } else a = _rhs; \
+    if (RhsStorageOrder==RowMajor) uplo='U'; \
+\
+    if (LhsStorageOrder==ColMajor && (!ConjugateLhs)) { \
+       b = _lhs; } \
+    else { \
+      if (LhsStorageOrder==ColMajor && ConjugateLhs) { \
+        Map<const MatrixX##EIGPREFIX, 0, OuterStride<> > lhs(_lhs,m,n,OuterStride<>(lhsStride)); \
+        b_tmp = lhs.conjugate(); \
+      } else \
+      if (ConjugateLhs) { \
+        Map<const MatrixX##EIGPREFIX, 0, OuterStride<> > lhs(_lhs,n,m,OuterStride<>(lhsStride)); \
+        b_tmp = lhs.adjoint(); \
+      } else { \
+        Map<const MatrixX##EIGPREFIX, 0, OuterStride<> > lhs(_lhs,n,m,OuterStride<>(lhsStride)); \
+        b_tmp = lhs.transpose(); \
+      } \
+      b = b_tmp.data(); \
+      ldb = convert_index<BlasIndex>(b_tmp.outerStride()); \
+    } \
+\
+    BLASFUNC(&side, &uplo, &m, &n, (const BLASTYPE*)&numext::real_ref(alpha), (const BLASTYPE*)a, &lda, (const BLASTYPE*)b, &ldb, (const BLASTYPE*)&numext::real_ref(beta), (BLASTYPE*)res, &ldc); \
+  } \
+};
+
+#ifdef EIGEN_USE_MKL
+EIGEN_BLAS_SYMM_R(double, double, d, dsymm)
+EIGEN_BLAS_SYMM_R(float, float, f, ssymm)
+EIGEN_BLAS_HEMM_R(dcomplex, MKL_Complex16, cd, zhemm)
+EIGEN_BLAS_HEMM_R(scomplex, MKL_Complex8, cf, chemm)
+#else
+EIGEN_BLAS_SYMM_R(double, double, d, dsymm_)
+EIGEN_BLAS_SYMM_R(float, float, f, ssymm_)
+EIGEN_BLAS_HEMM_R(dcomplex, double, cd, zhemm_)
+EIGEN_BLAS_HEMM_R(scomplex, float, cf, chemm_)
+#endif
+} // end namespace internal
+
+} // end namespace Eigen
+
+#endif // EIGEN_SELFADJOINT_MATRIX_MATRIX_BLAS_H
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h	(revision 3761)
@@ -0,0 +1,350 @@
+// This file is part of Eigen, a lightweight C++ template library
+// for linear algebra.
+//
+// Copyright (C) 2009 Gael Guennebaud <gael.guennebaud@inria.fr>
+//
+// This Source Code Form is subject to the terms of the Mozilla
+// Public License v. 2.0. If a copy of the MPL was not distributed
+// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
+
+#ifndef EIGEN_TRIANGULARMATRIXVECTOR_H
+#define EIGEN_TRIANGULARMATRIXVECTOR_H
+
+namespace Eigen {
+
+namespace internal {
+
+template<typename Index, int Mode, typename LhsScalar, bool ConjLhs, typename RhsScalar, bool ConjRhs, int StorageOrder, int Version=Specialized>
+struct triangular_matrix_vector_product;
+
+template<typename Index, int Mode, typename LhsScalar, bool ConjLhs, typename RhsScalar, bool ConjRhs, int Version>
+struct triangular_matrix_vector_product<Index,Mode,LhsScalar,ConjLhs,RhsScalar,ConjRhs,ColMajor,Version>
+{
+  typedef typename ScalarBinaryOpTraits<LhsScalar, RhsScalar>::ReturnType ResScalar;
+  enum {
+    IsLower = ((Mode&Lower)==Lower),
+    HasUnitDiag = (Mode & UnitDiag)==UnitDiag,
+    HasZeroDiag = (Mode & ZeroDiag)==ZeroDiag
+  };
+  static EIGEN_DONT_INLINE  void run(Index _rows, Index _cols, const LhsScalar* _lhs, Index lhsStride,
+                                     const RhsScalar* _rhs, Index rhsIncr, ResScalar* _res, Index resIncr, const RhsScalar& alpha);
+};
+
+template<typename Index, int Mode, typename LhsScalar, bool ConjLhs, typename RhsScalar, bool ConjRhs, int Version>
+EIGEN_DONT_INLINE void triangular_matrix_vector_product<Index,Mode,LhsScalar,ConjLhs,RhsScalar,ConjRhs,ColMajor,Version>
+  ::run(Index _rows, Index _cols, const LhsScalar* _lhs, Index lhsStride,
+        const RhsScalar* _rhs, Index rhsIncr, ResScalar* _res, Index resIncr, const RhsScalar& alpha)
+  {
+    static const Index PanelWidth = EIGEN_TUNE_TRIANGULAR_PANEL_WIDTH;
+    Index size = (std::min)(_rows,_cols);
+    Index rows = IsLower ? _rows : (std::min)(_rows,_cols);
+    Index cols = IsLower ? (std::min)(_rows,_cols) : _cols;
+
+    typedef Map<const Matrix<LhsScalar,Dynamic,Dynamic,ColMajor>, 0, OuterStride<> > LhsMap;
+    const LhsMap lhs(_lhs,rows,cols,OuterStride<>(lhsStride));
+    typename conj_expr_if<ConjLhs,LhsMap>::type cjLhs(lhs);
+
+    typedef Map<const Matrix<RhsScalar,Dynamic,1>, 0, InnerStride<> > RhsMap;
+    const RhsMap rhs(_rhs,cols,InnerStride<>(rhsIncr));
+    typename conj_expr_if<ConjRhs,RhsMap>::type cjRhs(rhs);
+
+    typedef Map<Matrix<ResScalar,Dynamic,1> > ResMap;
+    ResMap res(_res,rows);
+
+    typedef const_blas_data_mapper<LhsScalar,Index,ColMajor> LhsMapper;
+    typedef const_blas_data_mapper<RhsScalar,Index,RowMajor> RhsMapper;
+
+    for (Index pi=0; pi<size; pi+=PanelWidth)
+    {
+      Index actualPanelWidth = (std::min)(PanelWidth, size-pi);
+      for (Index k=0; k<actualPanelWidth; ++k)
+      {
+        Index i = pi + k;
+        Index s = IsLower ? ((HasUnitDiag||HasZeroDiag) ? i+1 : i ) : pi;
+        Index r = IsLower ? actualPanelWidth-k : k+1;
+        if ((!(HasUnitDiag||HasZeroDiag)) || (--r)>0)
+          res.segment(s,r) += (alpha * cjRhs.coeff(i)) * cjLhs.col(i).segment(s,r);
+        if (HasUnitDiag)
+          res.coeffRef(i) += alpha * cjRhs.coeff(i);
+      }
+      Index r = IsLower ? rows - pi - actualPanelWidth : pi;
+      if (r>0)
+      {
+        Index s = IsLower ? pi+actualPanelWidth : 0;
+        general_matrix_vector_product<Index,LhsScalar,LhsMapper,ColMajor,ConjLhs,RhsScalar,RhsMapper,ConjRhs,BuiltIn>::run(
+            r, actualPanelWidth,
+            LhsMapper(&lhs.coeffRef(s,pi), lhsStride),
+            RhsMapper(&rhs.coeffRef(pi), rhsIncr),
+            &res.coeffRef(s), resIncr, alpha);
+      }
+    }
+    if((!IsLower) && cols>size)
+    {
+      general_matrix_vector_product<Index,LhsScalar,LhsMapper,ColMajor,ConjLhs,RhsScalar,RhsMapper,ConjRhs>::run(
+          rows, cols-size,
+          LhsMapper(&lhs.coeffRef(0,size), lhsStride),
+          RhsMapper(&rhs.coeffRef(size), rhsIncr),
+          _res, resIncr, alpha);
+    }
+  }
+
+template<typename Index, int Mode, typename LhsScalar, bool ConjLhs, typename RhsScalar, bool ConjRhs,int Version>
+struct triangular_matrix_vector_product<Index,Mode,LhsScalar,ConjLhs,RhsScalar,ConjRhs,RowMajor,Version>
+{
+  typedef typename ScalarBinaryOpTraits<LhsScalar, RhsScalar>::ReturnType ResScalar;
+  enum {
+    IsLower = ((Mode&Lower)==Lower),
+    HasUnitDiag = (Mode & UnitDiag)==UnitDiag,
+    HasZeroDiag = (Mode & ZeroDiag)==ZeroDiag
+  };
+  static EIGEN_DONT_INLINE void run(Index _rows, Index _cols, const LhsScalar* _lhs, Index lhsStride,
+                                    const RhsScalar* _rhs, Index rhsIncr, ResScalar* _res, Index resIncr, const ResScalar& alpha);
+};
+
+template<typename Index, int Mode, typename LhsScalar, bool ConjLhs, typename RhsScalar, bool ConjRhs,int Version>
+EIGEN_DONT_INLINE void triangular_matrix_vector_product<Index,Mode,LhsScalar,ConjLhs,RhsScalar,ConjRhs,RowMajor,Version>
+  ::run(Index _rows, Index _cols, const LhsScalar* _lhs, Index lhsStride,
+        const RhsScalar* _rhs, Index rhsIncr, ResScalar* _res, Index resIncr, const ResScalar& alpha)
+  {
+    static const Index PanelWidth = EIGEN_TUNE_TRIANGULAR_PANEL_WIDTH;
+    Index diagSize = (std::min)(_rows,_cols);
+    Index rows = IsLower ? _rows : diagSize;
+    Index cols = IsLower ? diagSize : _cols;
+
+    typedef Map<const Matrix<LhsScalar,Dynamic,Dynamic,RowMajor>, 0, OuterStride<> > LhsMap;
+    const LhsMap lhs(_lhs,rows,cols,OuterStride<>(lhsStride));
+    typename conj_expr_if<ConjLhs,LhsMap>::type cjLhs(lhs);
+
+    typedef Map<const Matrix<RhsScalar,Dynamic,1> > RhsMap;
+    const RhsMap rhs(_rhs,cols);
+    typename conj_expr_if<ConjRhs,RhsMap>::type cjRhs(rhs);
+
+    typedef Map<Matrix<ResScalar,Dynamic,1>, 0, InnerStride<> > ResMap;
+    ResMap res(_res,rows,InnerStride<>(resIncr));
+
+    typedef const_blas_data_mapper<LhsScalar,Index,RowMajor> LhsMapper;
+    typedef const_blas_data_mapper<RhsScalar,Index,RowMajor> RhsMapper;
+
+    for (Index pi=0; pi<diagSize; pi+=PanelWidth)
+    {
+      Index actualPanelWidth = (std::min)(PanelWidth, diagSize-pi);
+      for (Index k=0; k<actualPanelWidth; ++k)
+      {
+        Index i = pi + k;
+        Index s = IsLower ? pi  : ((HasUnitDiag||HasZeroDiag) ? i+1 : i);
+        Index r = IsLower ? k+1 : actualPanelWidth-k;
+        if ((!(HasUnitDiag||HasZeroDiag)) || (--r)>0)
+          res.coeffRef(i) += alpha * (cjLhs.row(i).segment(s,r).cwiseProduct(cjRhs.segment(s,r).transpose())).sum();
+        if (HasUnitDiag)
+          res.coeffRef(i) += alpha * cjRhs.coeff(i);
+      }
+      Index r = IsLower ? pi : cols - pi - actualPanelWidth;
+      if (r>0)
+      {
+        Index s = IsLower ? 0 : pi + actualPanelWidth;
+        general_matrix_vector_product<Index,LhsScalar,LhsMapper,RowMajor,ConjLhs,RhsScalar,RhsMapper,ConjRhs,BuiltIn>::run(
+            actualPanelWidth, r,
+            LhsMapper(&lhs.coeffRef(pi,s), lhsStride),
+            RhsMapper(&rhs.coeffRef(s), rhsIncr),
+            &res.coeffRef(pi), resIncr, alpha);
+      }
+    }
+    if(IsLower && rows>diagSize)
+    {
+      general_matrix_vector_product<Index,LhsScalar,LhsMapper,RowMajor,ConjLhs,RhsScalar,RhsMapper,ConjRhs>::run(
+            rows-diagSize, cols,
+            LhsMapper(&lhs.coeffRef(diagSize,0), lhsStride),
+            RhsMapper(&rhs.coeffRef(0), rhsIncr),
+            &res.coeffRef(diagSize), resIncr, alpha);
+    }
+  }
+
+/***************************************************************************
+* Wrapper to product_triangular_vector
+***************************************************************************/
+
+template<int Mode,int StorageOrder>
+struct trmv_selector;
+
+} // end namespace internal
+
+namespace internal {
+
+template<int Mode, typename Lhs, typename Rhs>
+struct triangular_product_impl<Mode,true,Lhs,false,Rhs,true>
+{
+  template<typename Dest> static void run(Dest& dst, const Lhs &lhs, const Rhs &rhs, const typename Dest::Scalar& alpha)
+  {
+    eigen_assert(dst.rows()==lhs.rows() && dst.cols()==rhs.cols());
+  
+    internal::trmv_selector<Mode,(int(internal::traits<Lhs>::Flags)&RowMajorBit) ? RowMajor : ColMajor>::run(lhs, rhs, dst, alpha);
+  }
+};
+
+template<int Mode, typename Lhs, typename Rhs>
+struct triangular_product_impl<Mode,false,Lhs,true,Rhs,false>
+{
+  template<typename Dest> static void run(Dest& dst, const Lhs &lhs, const Rhs &rhs, const typename Dest::Scalar& alpha)
+  {
+    eigen_assert(dst.rows()==lhs.rows() && dst.cols()==rhs.cols());
+
+    Transpose<Dest> dstT(dst);
+    internal::trmv_selector<(Mode & (UnitDiag|ZeroDiag)) | ((Mode & Lower) ? Upper : Lower),
+                            (int(internal::traits<Rhs>::Flags)&RowMajorBit) ? ColMajor : RowMajor>
+            ::run(rhs.transpose(),lhs.transpose(), dstT, alpha);
+  }
+};
+
+} // end namespace internal
+
+namespace internal {
+
+// TODO: find a way to factorize this piece of code with gemv_selector since the logic is exactly the same.
+  
+template<int Mode> struct trmv_selector<Mode,ColMajor>
+{
+  template<typename Lhs, typename Rhs, typename Dest>
+  static void run(const Lhs &lhs, const Rhs &rhs, Dest& dest, const typename Dest::Scalar& alpha)
+  {
+    typedef typename Lhs::Scalar      LhsScalar;
+    typedef typename Rhs::Scalar      RhsScalar;
+    typedef typename Dest::Scalar     ResScalar;
+    typedef typename Dest::RealScalar RealScalar;
+    
+    typedef internal::blas_traits<Lhs> LhsBlasTraits;
+    typedef typename LhsBlasTraits::DirectLinearAccessType ActualLhsType;
+    typedef internal::blas_traits<Rhs> RhsBlasTraits;
+    typedef typename RhsBlasTraits::DirectLinearAccessType ActualRhsType;
+    
+    typedef Map<Matrix<ResScalar,Dynamic,1>, EIGEN_PLAIN_ENUM_MIN(AlignedMax,internal::packet_traits<ResScalar>::size)> MappedDest;
+
+    typename internal::add_const_on_value_type<ActualLhsType>::type actualLhs = LhsBlasTraits::extract(lhs);
+    typename internal::add_const_on_value_type<ActualRhsType>::type actualRhs = RhsBlasTraits::extract(rhs);
+
+    LhsScalar lhs_alpha = LhsBlasTraits::extractScalarFactor(lhs);
+    RhsScalar rhs_alpha = RhsBlasTraits::extractScalarFactor(rhs);
+    ResScalar actualAlpha = alpha * lhs_alpha * rhs_alpha;
+
+    enum {
+      // FIXME find a way to allow an inner stride on the result if packet_traits<Scalar>::size==1
+      // on, the other hand it is good for the cache to pack the vector anyways...
+      EvalToDestAtCompileTime = Dest::InnerStrideAtCompileTime==1,
+      ComplexByReal = (NumTraits<LhsScalar>::IsComplex) && (!NumTraits<RhsScalar>::IsComplex),
+      MightCannotUseDest = (Dest::InnerStrideAtCompileTime!=1) || ComplexByReal
+    };
+
+    gemv_static_vector_if<ResScalar,Dest::SizeAtCompileTime,Dest::MaxSizeAtCompileTime,MightCannotUseDest> static_dest;
+
+    bool alphaIsCompatible = (!ComplexByReal) || (numext::imag(actualAlpha)==RealScalar(0));
+    bool evalToDest = EvalToDestAtCompileTime && alphaIsCompatible;
+
+    RhsScalar compatibleAlpha = get_factor<ResScalar,RhsScalar>::run(actualAlpha);
+
+    ei_declare_aligned_stack_constructed_variable(ResScalar,actualDestPtr,dest.size(),
+                                                  evalToDest ? dest.data() : static_dest.data());
+
+    if(!evalToDest)
+    {
+      #ifdef EIGEN_DENSE_STORAGE_CTOR_PLUGIN
+      Index size = dest.size();
+      EIGEN_DENSE_STORAGE_CTOR_PLUGIN
+      #endif
+      if(!alphaIsCompatible)
+      {
+        MappedDest(actualDestPtr, dest.size()).setZero();
+        compatibleAlpha = RhsScalar(1);
+      }
+      else
+        MappedDest(actualDestPtr, dest.size()) = dest;
+    }
+
+    internal::triangular_matrix_vector_product
+      <Index,Mode,
+       LhsScalar, LhsBlasTraits::NeedToConjugate,
+       RhsScalar, RhsBlasTraits::NeedToConjugate,
+       ColMajor>
+      ::run(actualLhs.rows(),actualLhs.cols(),
+            actualLhs.data(),actualLhs.outerStride(),
+            actualRhs.data(),actualRhs.innerStride(),
+            actualDestPtr,1,compatibleAlpha);
+
+    if (!evalToDest)
+    {
+      if(!alphaIsCompatible)
+        dest += actualAlpha * MappedDest(actualDestPtr, dest.size());
+      else
+        dest = MappedDest(actualDestPtr, dest.size());
+    }
+
+    if ( ((Mode&UnitDiag)==UnitDiag) && (lhs_alpha!=LhsScalar(1)) )
+    {
+      Index diagSize = (std::min)(lhs.rows(),lhs.cols());
+      dest.head(diagSize) -= (lhs_alpha-LhsScalar(1))*rhs.head(diagSize);
+    }
+  }
+};
+
+template<int Mode> struct trmv_selector<Mode,RowMajor>
+{
+  template<typename Lhs, typename Rhs, typename Dest>
+  static void run(const Lhs &lhs, const Rhs &rhs, Dest& dest, const typename Dest::Scalar& alpha)
+  {
+    typedef typename Lhs::Scalar      LhsScalar;
+    typedef typename Rhs::Scalar      RhsScalar;
+    typedef typename Dest::Scalar     ResScalar;
+    
+    typedef internal::blas_traits<Lhs> LhsBlasTraits;
+    typedef typename LhsBlasTraits::DirectLinearAccessType ActualLhsType;
+    typedef internal::blas_traits<Rhs> RhsBlasTraits;
+    typedef typename RhsBlasTraits::DirectLinearAccessType ActualRhsType;
+    typedef typename internal::remove_all<ActualRhsType>::type ActualRhsTypeCleaned;
+
+    typename add_const<ActualLhsType>::type actualLhs = LhsBlasTraits::extract(lhs);
+    typename add_const<ActualRhsType>::type actualRhs = RhsBlasTraits::extract(rhs);
+
+    LhsScalar lhs_alpha = LhsBlasTraits::extractScalarFactor(lhs);
+    RhsScalar rhs_alpha = RhsBlasTraits::extractScalarFactor(rhs);
+    ResScalar actualAlpha = alpha * lhs_alpha * rhs_alpha;
+
+    enum {
+      DirectlyUseRhs = ActualRhsTypeCleaned::InnerStrideAtCompileTime==1
+    };
+
+    gemv_static_vector_if<RhsScalar,ActualRhsTypeCleaned::SizeAtCompileTime,ActualRhsTypeCleaned::MaxSizeAtCompileTime,!DirectlyUseRhs> static_rhs;
+
+    ei_declare_aligned_stack_constructed_variable(RhsScalar,actualRhsPtr,actualRhs.size(),
+        DirectlyUseRhs ? const_cast<RhsScalar*>(actualRhs.data()) : static_rhs.data());
+
+    if(!DirectlyUseRhs)
+    {
+      #ifdef EIGEN_DENSE_STORAGE_CTOR_PLUGIN
+      Index size = actualRhs.size();
+      EIGEN_DENSE_STORAGE_CTOR_PLUGIN
+      #endif
+      Map<typename ActualRhsTypeCleaned::PlainObject>(actualRhsPtr, actualRhs.size()) = actualRhs;
+    }
+
+    internal::triangular_matrix_vector_product
+      <Index,Mode,
+       LhsScalar, LhsBlasTraits::NeedToConjugate,
+       RhsScalar, RhsBlasTraits::NeedToConjugate,
+       RowMajor>
+      ::run(actualLhs.rows(),actualLhs.cols(),
+            actualLhs.data(),actualLhs.outerStride(),
+            actualRhsPtr,1,
+            dest.data(),dest.innerStride(),
+            actualAlpha);
+
+    if ( ((Mode&UnitDiag)==UnitDiag) && (lhs_alpha!=LhsScalar(1)) )
+    {
+      Index diagSize = (std::min)(lhs.rows(),lhs.cols());
+      dest.head(diagSize) -= (lhs_alpha-LhsScalar(1))*rhs.head(diagSize);
+    }
+  }
+};
+
+} // end namespace internal
+
+} // end namespace Eigen
+
+#endif // EIGEN_TRIANGULARMATRIXVECTOR_H
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h	(revision 3761)
@@ -0,0 +1,317 @@
+// This file is part of Eigen, a lightweight C++ template library
+// for linear algebra.
+//
+// Copyright (C) 2009-2010 Gael Guennebaud <gael.guennebaud@inria.fr>
+//
+// This Source Code Form is subject to the terms of the Mozilla
+// Public License v. 2.0. If a copy of the MPL was not distributed
+// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
+
+#ifndef EIGEN_GENERAL_MATRIX_MATRIX_TRIANGULAR_H
+#define EIGEN_GENERAL_MATRIX_MATRIX_TRIANGULAR_H
+
+namespace Eigen { 
+
+template<typename Scalar, typename Index, int StorageOrder, int UpLo, bool ConjLhs, bool ConjRhs>
+struct selfadjoint_rank1_update;
+
+namespace internal {
+
+/**********************************************************************
+* This file implements a general A * B product while
+* evaluating only one triangular part of the product.
+* This is a more general version of self adjoint product (C += A A^T)
+* as the level 3 SYRK Blas routine.
+**********************************************************************/
+
+// forward declarations (defined at the end of this file)
+template<typename LhsScalar, typename RhsScalar, typename Index, int mr, int nr, bool ConjLhs, bool ConjRhs, int ResInnerStride, int UpLo>
+struct tribb_kernel;
+  
+/* Optimized matrix-matrix product evaluating only one triangular half */
+template <typename Index,
+          typename LhsScalar, int LhsStorageOrder, bool ConjugateLhs,
+          typename RhsScalar, int RhsStorageOrder, bool ConjugateRhs,
+                              int ResStorageOrder, int ResInnerStride, int  UpLo, int Version = Specialized>
+struct general_matrix_matrix_triangular_product;
+
+// as usual if the result is row major => we transpose the product
+template <typename Index, typename LhsScalar, int LhsStorageOrder, bool ConjugateLhs,
+                          typename RhsScalar, int RhsStorageOrder, bool ConjugateRhs,
+                          int ResInnerStride, int  UpLo, int Version>
+struct general_matrix_matrix_triangular_product<Index,LhsScalar,LhsStorageOrder,ConjugateLhs,RhsScalar,RhsStorageOrder,ConjugateRhs,RowMajor,ResInnerStride,UpLo,Version>
+{
+  typedef typename ScalarBinaryOpTraits<LhsScalar, RhsScalar>::ReturnType ResScalar;
+  static EIGEN_STRONG_INLINE void run(Index size, Index depth,const LhsScalar* lhs, Index lhsStride,
+                                      const RhsScalar* rhs, Index rhsStride, ResScalar* res, Index resIncr, Index resStride,
+                                      const ResScalar& alpha, level3_blocking<RhsScalar,LhsScalar>& blocking)
+  {
+    general_matrix_matrix_triangular_product<Index,
+        RhsScalar, RhsStorageOrder==RowMajor ? ColMajor : RowMajor, ConjugateRhs,
+        LhsScalar, LhsStorageOrder==RowMajor ? ColMajor : RowMajor, ConjugateLhs,
+        ColMajor, ResInnerStride, UpLo==Lower?Upper:Lower>
+      ::run(size,depth,rhs,rhsStride,lhs,lhsStride,res,resIncr,resStride,alpha,blocking);
+  }
+};
+
+template <typename Index, typename LhsScalar, int LhsStorageOrder, bool ConjugateLhs,
+                          typename RhsScalar, int RhsStorageOrder, bool ConjugateRhs,
+                          int ResInnerStride, int  UpLo, int Version>
+struct general_matrix_matrix_triangular_product<Index,LhsScalar,LhsStorageOrder,ConjugateLhs,RhsScalar,RhsStorageOrder,ConjugateRhs,ColMajor,ResInnerStride,UpLo,Version>
+{
+  typedef typename ScalarBinaryOpTraits<LhsScalar, RhsScalar>::ReturnType ResScalar;
+  static EIGEN_STRONG_INLINE void run(Index size, Index depth,const LhsScalar* _lhs, Index lhsStride,
+                                      const RhsScalar* _rhs, Index rhsStride,
+                                      ResScalar* _res, Index resIncr, Index resStride,
+                                      const ResScalar& alpha, level3_blocking<LhsScalar,RhsScalar>& blocking)
+  {
+    typedef gebp_traits<LhsScalar,RhsScalar> Traits;
+
+    typedef const_blas_data_mapper<LhsScalar, Index, LhsStorageOrder> LhsMapper;
+    typedef const_blas_data_mapper<RhsScalar, Index, RhsStorageOrder> RhsMapper;
+    typedef blas_data_mapper<typename Traits::ResScalar, Index, ColMajor, Unaligned, ResInnerStride> ResMapper;
+    LhsMapper lhs(_lhs,lhsStride);
+    RhsMapper rhs(_rhs,rhsStride);
+    ResMapper res(_res, resStride, resIncr);
+
+    Index kc = blocking.kc();
+    Index mc = (std::min)(size,blocking.mc());
+
+    // !!! mc must be a multiple of nr:
+    if(mc > Traits::nr)
+      mc = (mc/Traits::nr)*Traits::nr;
+
+    std::size_t sizeA = kc*mc;
+    std::size_t sizeB = kc*size;
+
+    ei_declare_aligned_stack_constructed_variable(LhsScalar, blockA, sizeA, blocking.blockA());
+    ei_declare_aligned_stack_constructed_variable(RhsScalar, blockB, sizeB, blocking.blockB());
+
+    gemm_pack_lhs<LhsScalar, Index, LhsMapper, Traits::mr, Traits::LhsProgress, LhsStorageOrder> pack_lhs;
+    gemm_pack_rhs<RhsScalar, Index, RhsMapper, Traits::nr, RhsStorageOrder> pack_rhs;
+    gebp_kernel<LhsScalar, RhsScalar, Index, ResMapper, Traits::mr, Traits::nr, ConjugateLhs, ConjugateRhs> gebp;
+    tribb_kernel<LhsScalar, RhsScalar, Index, Traits::mr, Traits::nr, ConjugateLhs, ConjugateRhs, ResInnerStride, UpLo> sybb;
+
+    for(Index k2=0; k2<depth; k2+=kc)
+    {
+      const Index actual_kc = (std::min)(k2+kc,depth)-k2;
+
+      // note that the actual rhs is the transpose/adjoint of mat
+      pack_rhs(blockB, rhs.getSubMapper(k2,0), actual_kc, size);
+
+      for(Index i2=0; i2<size; i2+=mc)
+      {
+        const Index actual_mc = (std::min)(i2+mc,size)-i2;
+
+        pack_lhs(blockA, lhs.getSubMapper(i2, k2), actual_kc, actual_mc);
+
+        // the selected actual_mc * size panel of res is split into three different part:
+        //  1 - before the diagonal => processed with gebp or skipped
+        //  2 - the actual_mc x actual_mc symmetric block => processed with a special kernel
+        //  3 - after the diagonal => processed with gebp or skipped
+        if (UpLo==Lower)
+          gebp(res.getSubMapper(i2, 0), blockA, blockB, actual_mc, actual_kc,
+               (std::min)(size,i2), alpha, -1, -1, 0, 0);
+
+        sybb(_res+resStride*i2 + resIncr*i2, resIncr, resStride, blockA, blockB + actual_kc*i2, actual_mc, actual_kc, alpha);
+
+        if (UpLo==Upper)
+        {
+          Index j2 = i2+actual_mc;
+          gebp(res.getSubMapper(i2, j2), blockA, blockB+actual_kc*j2, actual_mc,
+               actual_kc, (std::max)(Index(0), size-j2), alpha, -1, -1, 0, 0);
+        }
+      }
+    }
+  }
+};
+
+// Optimized packed Block * packed Block product kernel evaluating only one given triangular part
+// This kernel is built on top of the gebp kernel:
+// - the current destination block is processed per panel of actual_mc x BlockSize
+//   where BlockSize is set to the minimal value allowing gebp to be as fast as possible
+// - then, as usual, each panel is split into three parts along the diagonal,
+//   the sub blocks above and below the diagonal are processed as usual,
+//   while the triangular block overlapping the diagonal is evaluated into a
+//   small temporary buffer which is then accumulated into the result using a
+//   triangular traversal.
+template<typename LhsScalar, typename RhsScalar, typename Index, int mr, int nr, bool ConjLhs, bool ConjRhs, int ResInnerStride, int UpLo>
+struct tribb_kernel
+{
+  typedef gebp_traits<LhsScalar,RhsScalar,ConjLhs,ConjRhs> Traits;
+  typedef typename Traits::ResScalar ResScalar;
+
+  enum {
+    BlockSize  = meta_least_common_multiple<EIGEN_PLAIN_ENUM_MAX(mr,nr),EIGEN_PLAIN_ENUM_MIN(mr,nr)>::ret
+  };
+  void operator()(ResScalar* _res, Index resIncr, Index resStride, const LhsScalar* blockA, const RhsScalar* blockB, Index size, Index depth, const ResScalar& alpha)
+  {
+    typedef blas_data_mapper<ResScalar, Index, ColMajor, Unaligned, ResInnerStride> ResMapper;
+    typedef blas_data_mapper<ResScalar, Index, ColMajor, Unaligned> BufferMapper;
+    ResMapper res(_res, resStride, resIncr);
+    gebp_kernel<LhsScalar, RhsScalar, Index, ResMapper, mr, nr, ConjLhs, ConjRhs> gebp_kernel1;
+    gebp_kernel<LhsScalar, RhsScalar, Index, BufferMapper, mr, nr, ConjLhs, ConjRhs> gebp_kernel2;
+
+    Matrix<ResScalar,BlockSize,BlockSize,ColMajor> buffer((internal::constructor_without_unaligned_array_assert()));
+
+    // let's process the block per panel of actual_mc x BlockSize,
+    // again, each is split into three parts, etc.
+    for (Index j=0; j<size; j+=BlockSize)
+    {
+      Index actualBlockSize = std::min<Index>(BlockSize,size - j);
+      const RhsScalar* actual_b = blockB+j*depth;
+
+      if(UpLo==Upper)
+        gebp_kernel1(res.getSubMapper(0, j), blockA, actual_b, j, depth, actualBlockSize, alpha,
+                     -1, -1, 0, 0);
+      
+      // selfadjoint micro block
+      {
+        Index i = j;
+        buffer.setZero();
+        // 1 - apply the kernel on the temporary buffer
+        gebp_kernel2(BufferMapper(buffer.data(), BlockSize), blockA+depth*i, actual_b, actualBlockSize, depth, actualBlockSize, alpha,
+                     -1, -1, 0, 0);
+
+        // 2 - triangular accumulation
+        for(Index j1=0; j1<actualBlockSize; ++j1)
+        {
+          typename ResMapper::LinearMapper r = res.getLinearMapper(i,j+j1);
+          for(Index i1=UpLo==Lower ? j1 : 0;
+              UpLo==Lower ? i1<actualBlockSize : i1<=j1; ++i1)
+            r(i1) += buffer(i1,j1);
+        }
+      }
+
+      if(UpLo==Lower)
+      {
+        Index i = j+actualBlockSize;
+        gebp_kernel1(res.getSubMapper(i, j), blockA+depth*i, actual_b, size-i, 
+                     depth, actualBlockSize, alpha, -1, -1, 0, 0);
+      }
+    }
+  }
+};
+
+} // end namespace internal
+
+// high level API
+
+template<typename MatrixType, typename ProductType, int UpLo, bool IsOuterProduct>
+struct general_product_to_triangular_selector;
+
+
+template<typename MatrixType, typename ProductType, int UpLo>
+struct general_product_to_triangular_selector<MatrixType,ProductType,UpLo,true>
+{
+  static void run(MatrixType& mat, const ProductType& prod, const typename MatrixType::Scalar& alpha, bool beta)
+  {
+    typedef typename MatrixType::Scalar Scalar;
+    
+    typedef typename internal::remove_all<typename ProductType::LhsNested>::type Lhs;
+    typedef internal::blas_traits<Lhs> LhsBlasTraits;
+    typedef typename LhsBlasTraits::DirectLinearAccessType ActualLhs;
+    typedef typename internal::remove_all<ActualLhs>::type _ActualLhs;
+    typename internal::add_const_on_value_type<ActualLhs>::type actualLhs = LhsBlasTraits::extract(prod.lhs());
+    
+    typedef typename internal::remove_all<typename ProductType::RhsNested>::type Rhs;
+    typedef internal::blas_traits<Rhs> RhsBlasTraits;
+    typedef typename RhsBlasTraits::DirectLinearAccessType ActualRhs;
+    typedef typename internal::remove_all<ActualRhs>::type _ActualRhs;
+    typename internal::add_const_on_value_type<ActualRhs>::type actualRhs = RhsBlasTraits::extract(prod.rhs());
+
+    Scalar actualAlpha = alpha * LhsBlasTraits::extractScalarFactor(prod.lhs().derived()) * RhsBlasTraits::extractScalarFactor(prod.rhs().derived());
+
+    if(!beta)
+      mat.template triangularView<UpLo>().setZero();
+
+    enum {
+      StorageOrder = (internal::traits<MatrixType>::Flags&RowMajorBit) ? RowMajor : ColMajor,
+      UseLhsDirectly = _ActualLhs::InnerStrideAtCompileTime==1,
+      UseRhsDirectly = _ActualRhs::InnerStrideAtCompileTime==1
+    };
+    
+    internal::gemv_static_vector_if<Scalar,Lhs::SizeAtCompileTime,Lhs::MaxSizeAtCompileTime,!UseLhsDirectly> static_lhs;
+    ei_declare_aligned_stack_constructed_variable(Scalar, actualLhsPtr, actualLhs.size(),
+      (UseLhsDirectly ? const_cast<Scalar*>(actualLhs.data()) : static_lhs.data()));
+    if(!UseLhsDirectly) Map<typename _ActualLhs::PlainObject>(actualLhsPtr, actualLhs.size()) = actualLhs;
+    
+    internal::gemv_static_vector_if<Scalar,Rhs::SizeAtCompileTime,Rhs::MaxSizeAtCompileTime,!UseRhsDirectly> static_rhs;
+    ei_declare_aligned_stack_constructed_variable(Scalar, actualRhsPtr, actualRhs.size(),
+      (UseRhsDirectly ? const_cast<Scalar*>(actualRhs.data()) : static_rhs.data()));
+    if(!UseRhsDirectly) Map<typename _ActualRhs::PlainObject>(actualRhsPtr, actualRhs.size()) = actualRhs;
+    
+    
+    selfadjoint_rank1_update<Scalar,Index,StorageOrder,UpLo,
+                              LhsBlasTraits::NeedToConjugate && NumTraits<Scalar>::IsComplex,
+                              RhsBlasTraits::NeedToConjugate && NumTraits<Scalar>::IsComplex>
+          ::run(actualLhs.size(), mat.data(), mat.outerStride(), actualLhsPtr, actualRhsPtr, actualAlpha);
+  }
+};
+
+template<typename MatrixType, typename ProductType, int UpLo>
+struct general_product_to_triangular_selector<MatrixType,ProductType,UpLo,false>
+{
+  static void run(MatrixType& mat, const ProductType& prod, const typename MatrixType::Scalar& alpha, bool beta)
+  {
+    typedef typename internal::remove_all<typename ProductType::LhsNested>::type Lhs;
+    typedef internal::blas_traits<Lhs> LhsBlasTraits;
+    typedef typename LhsBlasTraits::DirectLinearAccessType ActualLhs;
+    typedef typename internal::remove_all<ActualLhs>::type _ActualLhs;
+    typename internal::add_const_on_value_type<ActualLhs>::type actualLhs = LhsBlasTraits::extract(prod.lhs());
+    
+    typedef typename internal::remove_all<typename ProductType::RhsNested>::type Rhs;
+    typedef internal::blas_traits<Rhs> RhsBlasTraits;
+    typedef typename RhsBlasTraits::DirectLinearAccessType ActualRhs;
+    typedef typename internal::remove_all<ActualRhs>::type _ActualRhs;
+    typename internal::add_const_on_value_type<ActualRhs>::type actualRhs = RhsBlasTraits::extract(prod.rhs());
+
+    typename ProductType::Scalar actualAlpha = alpha * LhsBlasTraits::extractScalarFactor(prod.lhs().derived()) * RhsBlasTraits::extractScalarFactor(prod.rhs().derived());
+
+    if(!beta)
+      mat.template triangularView<UpLo>().setZero();
+
+    enum {
+      IsRowMajor = (internal::traits<MatrixType>::Flags&RowMajorBit) ? 1 : 0,
+      LhsIsRowMajor = _ActualLhs::Flags&RowMajorBit ? 1 : 0,
+      RhsIsRowMajor = _ActualRhs::Flags&RowMajorBit ? 1 : 0,
+      SkipDiag = (UpLo&(UnitDiag|ZeroDiag))!=0
+    };
+
+    Index size = mat.cols();
+    if(SkipDiag)
+      size--;
+    Index depth = actualLhs.cols();
+
+    typedef internal::gemm_blocking_space<IsRowMajor ? RowMajor : ColMajor,typename Lhs::Scalar,typename Rhs::Scalar,
+          MatrixType::MaxColsAtCompileTime, MatrixType::MaxColsAtCompileTime, _ActualRhs::MaxColsAtCompileTime> BlockingType;
+
+    BlockingType blocking(size, size, depth, 1, false);
+
+    internal::general_matrix_matrix_triangular_product<Index,
+      typename Lhs::Scalar, LhsIsRowMajor ? RowMajor : ColMajor, LhsBlasTraits::NeedToConjugate,
+      typename Rhs::Scalar, RhsIsRowMajor ? RowMajor : ColMajor, RhsBlasTraits::NeedToConjugate,
+      IsRowMajor ? RowMajor : ColMajor, MatrixType::InnerStrideAtCompileTime, UpLo&(Lower|Upper)>
+      ::run(size, depth,
+            &actualLhs.coeffRef(SkipDiag&&(UpLo&Lower)==Lower ? 1 : 0,0), actualLhs.outerStride(),
+            &actualRhs.coeffRef(0,SkipDiag&&(UpLo&Upper)==Upper ? 1 : 0), actualRhs.outerStride(),
+            mat.data() + (SkipDiag ? (bool(IsRowMajor) != ((UpLo&Lower)==Lower) ? mat.innerStride() : mat.outerStride() ) : 0),
+            mat.innerStride(), mat.outerStride(), actualAlpha, blocking);
+  }
+};
+
+template<typename MatrixType, unsigned int UpLo>
+template<typename ProductType>
+TriangularView<MatrixType,UpLo>& TriangularViewImpl<MatrixType,UpLo,Dense>::_assignProduct(const ProductType& prod, const Scalar& alpha, bool beta)
+{
+  EIGEN_STATIC_ASSERT((UpLo&UnitDiag)==0, WRITING_TO_TRIANGULAR_PART_WITH_UNIT_DIAGONAL_IS_NOT_SUPPORTED);
+  eigen_assert(derived().nestedExpression().rows() == prod.rows() && derived().cols() == prod.cols());
+  
+  general_product_to_triangular_selector<MatrixType, ProductType, UpLo, internal::traits<ProductType>::InnerSize==1>::run(derived().nestedExpression().const_cast_derived(), prod, alpha, beta);
+  
+  return derived();
+}
+
+} // end namespace Eigen
+
+#endif // EIGEN_GENERAL_MATRIX_MATRIX_TRIANGULAR_H
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector_BLAS.h
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector_BLAS.h	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector_BLAS.h	(revision 3761)
@@ -0,0 +1,255 @@
+/*
+ Copyright (c) 2011, Intel Corporation. All rights reserved.
+
+ Redistribution and use in source and binary forms, with or without modification,
+ are permitted provided that the following conditions are met:
+
+ * Redistributions of source code must retain the above copyright notice, this
+   list of conditions and the following disclaimer.
+ * Redistributions in binary form must reproduce the above copyright notice,
+   this list of conditions and the following disclaimer in the documentation
+   and/or other materials provided with the distribution.
+ * Neither the name of Intel Corporation nor the names of its contributors may
+   be used to endorse or promote products derived from this software without
+   specific prior written permission.
+
+ THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND
+ ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED
+ WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
+ DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE LIABLE FOR
+ ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES
+ (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES;
+ LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON
+ ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
+ (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS
+ SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
+
+ ********************************************************************************
+ *   Content : Eigen bindings to BLAS F77
+ *   Triangular matrix-vector product functionality based on ?TRMV.
+ ********************************************************************************
+*/
+
+#ifndef EIGEN_TRIANGULAR_MATRIX_VECTOR_BLAS_H
+#define EIGEN_TRIANGULAR_MATRIX_VECTOR_BLAS_H
+
+namespace Eigen { 
+
+namespace internal {
+
+/**********************************************************************
+* This file implements triangular matrix-vector multiplication using BLAS
+**********************************************************************/
+
+// trmv/hemv specialization
+
+template<typename Index, int Mode, typename LhsScalar, bool ConjLhs, typename RhsScalar, bool ConjRhs, int StorageOrder>
+struct triangular_matrix_vector_product_trmv :
+  triangular_matrix_vector_product<Index,Mode,LhsScalar,ConjLhs,RhsScalar,ConjRhs,StorageOrder,BuiltIn> {};
+
+#define EIGEN_BLAS_TRMV_SPECIALIZE(Scalar) \
+template<typename Index, int Mode, bool ConjLhs, bool ConjRhs> \
+struct triangular_matrix_vector_product<Index,Mode,Scalar,ConjLhs,Scalar,ConjRhs,ColMajor,Specialized> { \
+ static void run(Index _rows, Index _cols, const Scalar* _lhs, Index lhsStride, \
+                                     const Scalar* _rhs, Index rhsIncr, Scalar* _res, Index resIncr, Scalar alpha) { \
+      triangular_matrix_vector_product_trmv<Index,Mode,Scalar,ConjLhs,Scalar,ConjRhs,ColMajor>::run( \
+        _rows, _cols, _lhs, lhsStride, _rhs, rhsIncr, _res, resIncr, alpha); \
+  } \
+}; \
+template<typename Index, int Mode, bool ConjLhs, bool ConjRhs> \
+struct triangular_matrix_vector_product<Index,Mode,Scalar,ConjLhs,Scalar,ConjRhs,RowMajor,Specialized> { \
+ static void run(Index _rows, Index _cols, const Scalar* _lhs, Index lhsStride, \
+                                     const Scalar* _rhs, Index rhsIncr, Scalar* _res, Index resIncr, Scalar alpha) { \
+      triangular_matrix_vector_product_trmv<Index,Mode,Scalar,ConjLhs,Scalar,ConjRhs,RowMajor>::run( \
+        _rows, _cols, _lhs, lhsStride, _rhs, rhsIncr, _res, resIncr, alpha); \
+  } \
+};
+
+EIGEN_BLAS_TRMV_SPECIALIZE(double)
+EIGEN_BLAS_TRMV_SPECIALIZE(float)
+EIGEN_BLAS_TRMV_SPECIALIZE(dcomplex)
+EIGEN_BLAS_TRMV_SPECIALIZE(scomplex)
+
+// implements col-major: res += alpha * op(triangular) * vector
+#define EIGEN_BLAS_TRMV_CM(EIGTYPE, BLASTYPE, EIGPREFIX, BLASPREFIX, BLASPOSTFIX) \
+template<typename Index, int Mode, bool ConjLhs, bool ConjRhs> \
+struct triangular_matrix_vector_product_trmv<Index,Mode,EIGTYPE,ConjLhs,EIGTYPE,ConjRhs,ColMajor> { \
+  enum { \
+    IsLower = (Mode&Lower) == Lower, \
+    SetDiag = (Mode&(ZeroDiag|UnitDiag)) ? 0 : 1, \
+    IsUnitDiag  = (Mode&UnitDiag) ? 1 : 0, \
+    IsZeroDiag  = (Mode&ZeroDiag) ? 1 : 0, \
+    LowUp = IsLower ? Lower : Upper \
+  }; \
+ static void run(Index _rows, Index _cols, const EIGTYPE* _lhs, Index lhsStride, \
+                 const EIGTYPE* _rhs, Index rhsIncr, EIGTYPE* _res, Index resIncr, EIGTYPE alpha) \
+ { \
+   if (ConjLhs || IsZeroDiag) { \
+     triangular_matrix_vector_product<Index,Mode,EIGTYPE,ConjLhs,EIGTYPE,ConjRhs,ColMajor,BuiltIn>::run( \
+       _rows, _cols, _lhs, lhsStride, _rhs, rhsIncr, _res, resIncr, alpha); \
+     return; \
+   }\
+   Index size = (std::min)(_rows,_cols); \
+   Index rows = IsLower ? _rows : size; \
+   Index cols = IsLower ? size : _cols; \
+\
+   typedef VectorX##EIGPREFIX VectorRhs; \
+   EIGTYPE *x, *y;\
+\
+/* Set x*/ \
+   Map<const VectorRhs, 0, InnerStride<> > rhs(_rhs,cols,InnerStride<>(rhsIncr)); \
+   VectorRhs x_tmp; \
+   if (ConjRhs) x_tmp = rhs.conjugate(); else x_tmp = rhs; \
+   x = x_tmp.data(); \
+\
+/* Square part handling */\
+\
+   char trans, uplo, diag; \
+   BlasIndex m, n, lda, incx, incy; \
+   EIGTYPE const *a; \
+   EIGTYPE beta(1); \
+\
+/* Set m, n */ \
+   n = convert_index<BlasIndex>(size); \
+   lda = convert_index<BlasIndex>(lhsStride); \
+   incx = 1; \
+   incy = convert_index<BlasIndex>(resIncr); \
+\
+/* Set uplo, trans and diag*/ \
+   trans = 'N'; \
+   uplo = IsLower ? 'L' : 'U'; \
+   diag = IsUnitDiag ? 'U' : 'N'; \
+\
+/* call ?TRMV*/ \
+   BLASPREFIX##trmv##BLASPOSTFIX(&uplo, &trans, &diag, &n, (const BLASTYPE*)_lhs, &lda, (BLASTYPE*)x, &incx); \
+\
+/* Add op(a_tr)rhs into res*/ \
+   BLASPREFIX##axpy##BLASPOSTFIX(&n, (const BLASTYPE*)&numext::real_ref(alpha),(const BLASTYPE*)x, &incx, (BLASTYPE*)_res, &incy); \
+/* Non-square case - doesn't fit to BLAS ?TRMV. Fall to default triangular product*/ \
+   if (size<(std::max)(rows,cols)) { \
+     if (ConjRhs) x_tmp = rhs.conjugate(); else x_tmp = rhs; \
+     x = x_tmp.data(); \
+     if (size<rows) { \
+       y = _res + size*resIncr; \
+       a = _lhs + size; \
+       m = convert_index<BlasIndex>(rows-size); \
+       n = convert_index<BlasIndex>(size); \
+     } \
+     else { \
+       x += size; \
+       y = _res; \
+       a = _lhs + size*lda; \
+       m = convert_index<BlasIndex>(size); \
+       n = convert_index<BlasIndex>(cols-size); \
+     } \
+     BLASPREFIX##gemv##BLASPOSTFIX(&trans, &m, &n, (const BLASTYPE*)&numext::real_ref(alpha), (const BLASTYPE*)a, &lda, (const BLASTYPE*)x, &incx, (const BLASTYPE*)&numext::real_ref(beta), (BLASTYPE*)y, &incy); \
+   } \
+  } \
+};
+
+#ifdef EIGEN_USE_MKL
+EIGEN_BLAS_TRMV_CM(double,   double, d,  d,)
+EIGEN_BLAS_TRMV_CM(dcomplex, MKL_Complex16, cd, z,)
+EIGEN_BLAS_TRMV_CM(float,    float,  f,  s,)
+EIGEN_BLAS_TRMV_CM(scomplex, MKL_Complex8,  cf, c,)
+#else
+EIGEN_BLAS_TRMV_CM(double,   double, d,  d, _)
+EIGEN_BLAS_TRMV_CM(dcomplex, double, cd, z, _)
+EIGEN_BLAS_TRMV_CM(float,    float,  f,  s, _)
+EIGEN_BLAS_TRMV_CM(scomplex, float,  cf, c, _)
+#endif
+
+// implements row-major: res += alpha * op(triangular) * vector
+#define EIGEN_BLAS_TRMV_RM(EIGTYPE, BLASTYPE, EIGPREFIX, BLASPREFIX, BLASPOSTFIX) \
+template<typename Index, int Mode, bool ConjLhs, bool ConjRhs> \
+struct triangular_matrix_vector_product_trmv<Index,Mode,EIGTYPE,ConjLhs,EIGTYPE,ConjRhs,RowMajor> { \
+  enum { \
+    IsLower = (Mode&Lower) == Lower, \
+    SetDiag = (Mode&(ZeroDiag|UnitDiag)) ? 0 : 1, \
+    IsUnitDiag  = (Mode&UnitDiag) ? 1 : 0, \
+    IsZeroDiag  = (Mode&ZeroDiag) ? 1 : 0, \
+    LowUp = IsLower ? Lower : Upper \
+  }; \
+ static void run(Index _rows, Index _cols, const EIGTYPE* _lhs, Index lhsStride, \
+                 const EIGTYPE* _rhs, Index rhsIncr, EIGTYPE* _res, Index resIncr, EIGTYPE alpha) \
+ { \
+   if (IsZeroDiag) { \
+     triangular_matrix_vector_product<Index,Mode,EIGTYPE,ConjLhs,EIGTYPE,ConjRhs,RowMajor,BuiltIn>::run( \
+       _rows, _cols, _lhs, lhsStride, _rhs, rhsIncr, _res, resIncr, alpha); \
+     return; \
+   }\
+   Index size = (std::min)(_rows,_cols); \
+   Index rows = IsLower ? _rows : size; \
+   Index cols = IsLower ? size : _cols; \
+\
+   typedef VectorX##EIGPREFIX VectorRhs; \
+   EIGTYPE *x, *y;\
+\
+/* Set x*/ \
+   Map<const VectorRhs, 0, InnerStride<> > rhs(_rhs,cols,InnerStride<>(rhsIncr)); \
+   VectorRhs x_tmp; \
+   if (ConjRhs) x_tmp = rhs.conjugate(); else x_tmp = rhs; \
+   x = x_tmp.data(); \
+\
+/* Square part handling */\
+\
+   char trans, uplo, diag; \
+   BlasIndex m, n, lda, incx, incy; \
+   EIGTYPE const *a; \
+   EIGTYPE beta(1); \
+\
+/* Set m, n */ \
+   n = convert_index<BlasIndex>(size); \
+   lda = convert_index<BlasIndex>(lhsStride); \
+   incx = 1; \
+   incy = convert_index<BlasIndex>(resIncr); \
+\
+/* Set uplo, trans and diag*/ \
+   trans = ConjLhs ? 'C' : 'T'; \
+   uplo = IsLower ? 'U' : 'L'; \
+   diag = IsUnitDiag ? 'U' : 'N'; \
+\
+/* call ?TRMV*/ \
+   BLASPREFIX##trmv##BLASPOSTFIX(&uplo, &trans, &diag, &n, (const BLASTYPE*)_lhs, &lda, (BLASTYPE*)x, &incx); \
+\
+/* Add op(a_tr)rhs into res*/ \
+   BLASPREFIX##axpy##BLASPOSTFIX(&n, (const BLASTYPE*)&numext::real_ref(alpha),(const BLASTYPE*)x, &incx, (BLASTYPE*)_res, &incy); \
+/* Non-square case - doesn't fit to BLAS ?TRMV. Fall to default triangular product*/ \
+   if (size<(std::max)(rows,cols)) { \
+     if (ConjRhs) x_tmp = rhs.conjugate(); else x_tmp = rhs; \
+     x = x_tmp.data(); \
+     if (size<rows) { \
+       y = _res + size*resIncr; \
+       a = _lhs + size*lda; \
+       m = convert_index<BlasIndex>(rows-size); \
+       n = convert_index<BlasIndex>(size); \
+     } \
+     else { \
+       x += size; \
+       y = _res; \
+       a = _lhs + size; \
+       m = convert_index<BlasIndex>(size); \
+       n = convert_index<BlasIndex>(cols-size); \
+     } \
+     BLASPREFIX##gemv##BLASPOSTFIX(&trans, &n, &m, (const BLASTYPE*)&numext::real_ref(alpha), (const BLASTYPE*)a, &lda, (const BLASTYPE*)x, &incx, (const BLASTYPE*)&numext::real_ref(beta), (BLASTYPE*)y, &incy); \
+   } \
+  } \
+};
+
+#ifdef EIGEN_USE_MKL
+EIGEN_BLAS_TRMV_RM(double,   double, d,  d,)
+EIGEN_BLAS_TRMV_RM(dcomplex, MKL_Complex16, cd, z,)
+EIGEN_BLAS_TRMV_RM(float,    float,  f,  s,)
+EIGEN_BLAS_TRMV_RM(scomplex, MKL_Complex8,  cf, c,)
+#else
+EIGEN_BLAS_TRMV_RM(double,   double, d,  d,_)
+EIGEN_BLAS_TRMV_RM(dcomplex, double, cd, z,_)
+EIGEN_BLAS_TRMV_RM(float,    float,  f,  s,_)
+EIGEN_BLAS_TRMV_RM(scomplex, float,  cf, c,_)
+#endif
+
+} // end namespase internal
+
+} // end namespace Eigen
+
+#endif // EIGEN_TRIANGULAR_MATRIX_VECTOR_BLAS_H
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular_BLAS.h
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular_BLAS.h	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular_BLAS.h	(revision 3761)
@@ -0,0 +1,145 @@
+/*
+ Copyright (c) 2011, Intel Corporation. All rights reserved.
+
+ Redistribution and use in source and binary forms, with or without modification,
+ are permitted provided that the following conditions are met:
+
+ * Redistributions of source code must retain the above copyright notice, this
+   list of conditions and the following disclaimer.
+ * Redistributions in binary form must reproduce the above copyright notice,
+   this list of conditions and the following disclaimer in the documentation
+   and/or other materials provided with the distribution.
+ * Neither the name of Intel Corporation nor the names of its contributors may
+   be used to endorse or promote products derived from this software without
+   specific prior written permission.
+
+ THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND
+ ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED
+ WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
+ DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE LIABLE FOR
+ ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES
+ (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES;
+ LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON
+ ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
+ (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS
+ SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
+
+ ********************************************************************************
+ *   Content : Eigen bindings to BLAS F77
+ *   Level 3 BLAS SYRK/HERK implementation.
+ ********************************************************************************
+*/
+
+#ifndef EIGEN_GENERAL_MATRIX_MATRIX_TRIANGULAR_BLAS_H
+#define EIGEN_GENERAL_MATRIX_MATRIX_TRIANGULAR_BLAS_H
+
+namespace Eigen {
+
+namespace internal {
+
+template <typename Index, typename Scalar, int AStorageOrder, bool ConjugateA, int ResStorageOrder, int  UpLo>
+struct general_matrix_matrix_rankupdate :
+       general_matrix_matrix_triangular_product<
+         Index,Scalar,AStorageOrder,ConjugateA,Scalar,AStorageOrder,ConjugateA,ResStorageOrder,1,UpLo,BuiltIn> {};
+
+
+// try to go to BLAS specialization
+#define EIGEN_BLAS_RANKUPDATE_SPECIALIZE(Scalar) \
+template <typename Index, int LhsStorageOrder, bool ConjugateLhs, \
+                          int RhsStorageOrder, bool ConjugateRhs, int  UpLo> \
+struct general_matrix_matrix_triangular_product<Index,Scalar,LhsStorageOrder,ConjugateLhs, \
+               Scalar,RhsStorageOrder,ConjugateRhs,ColMajor,1,UpLo,Specialized> { \
+  static EIGEN_STRONG_INLINE void run(Index size, Index depth,const Scalar* lhs, Index lhsStride, \
+                          const Scalar* rhs, Index rhsStride, Scalar* res, Index resIncr, Index resStride, Scalar alpha, level3_blocking<Scalar, Scalar>& blocking) \
+  { \
+    if ( lhs==rhs && ((UpLo&(Lower|Upper))==UpLo) ) { \
+      general_matrix_matrix_rankupdate<Index,Scalar,LhsStorageOrder,ConjugateLhs,ColMajor,UpLo> \
+      ::run(size,depth,lhs,lhsStride,rhs,rhsStride,res,resStride,alpha,blocking); \
+    } else { \
+      general_matrix_matrix_triangular_product<Index, \
+        Scalar, LhsStorageOrder, ConjugateLhs, \
+        Scalar, RhsStorageOrder, ConjugateRhs, \
+        ColMajor, 1, UpLo, BuiltIn> \
+      ::run(size,depth,lhs,lhsStride,rhs,rhsStride,res,resIncr,resStride,alpha,blocking); \
+    } \
+  } \
+};
+
+EIGEN_BLAS_RANKUPDATE_SPECIALIZE(double)
+EIGEN_BLAS_RANKUPDATE_SPECIALIZE(float)
+// TODO handle complex cases
+// EIGEN_BLAS_RANKUPDATE_SPECIALIZE(dcomplex)
+// EIGEN_BLAS_RANKUPDATE_SPECIALIZE(scomplex)
+
+// SYRK for float/double
+#define EIGEN_BLAS_RANKUPDATE_R(EIGTYPE, BLASTYPE, BLASFUNC) \
+template <typename Index, int AStorageOrder, bool ConjugateA, int  UpLo> \
+struct general_matrix_matrix_rankupdate<Index,EIGTYPE,AStorageOrder,ConjugateA,ColMajor,UpLo> { \
+  enum { \
+    IsLower = (UpLo&Lower) == Lower, \
+    LowUp = IsLower ? Lower : Upper, \
+    conjA = ((AStorageOrder==ColMajor) && ConjugateA) ? 1 : 0 \
+  }; \
+  static EIGEN_STRONG_INLINE void run(Index size, Index depth,const EIGTYPE* lhs, Index lhsStride, \
+                          const EIGTYPE* /*rhs*/, Index /*rhsStride*/, EIGTYPE* res, Index resStride, EIGTYPE alpha, level3_blocking<EIGTYPE, EIGTYPE>& /*blocking*/) \
+  { \
+  /* typedef Matrix<EIGTYPE, Dynamic, Dynamic, RhsStorageOrder> MatrixRhs;*/ \
+\
+   BlasIndex lda=convert_index<BlasIndex>(lhsStride), ldc=convert_index<BlasIndex>(resStride), n=convert_index<BlasIndex>(size), k=convert_index<BlasIndex>(depth); \
+   char uplo=((IsLower) ? 'L' : 'U'), trans=((AStorageOrder==RowMajor) ? 'T':'N'); \
+   EIGTYPE beta(1); \
+   BLASFUNC(&uplo, &trans, &n, &k, (const BLASTYPE*)&numext::real_ref(alpha), lhs, &lda, (const BLASTYPE*)&numext::real_ref(beta), res, &ldc); \
+  } \
+};
+
+// HERK for complex data
+#define EIGEN_BLAS_RANKUPDATE_C(EIGTYPE, BLASTYPE, RTYPE, BLASFUNC) \
+template <typename Index, int AStorageOrder, bool ConjugateA, int  UpLo> \
+struct general_matrix_matrix_rankupdate<Index,EIGTYPE,AStorageOrder,ConjugateA,ColMajor,UpLo> { \
+  enum { \
+    IsLower = (UpLo&Lower) == Lower, \
+    LowUp = IsLower ? Lower : Upper, \
+    conjA = (((AStorageOrder==ColMajor) && ConjugateA) || ((AStorageOrder==RowMajor) && !ConjugateA)) ? 1 : 0 \
+  }; \
+  static EIGEN_STRONG_INLINE void run(Index size, Index depth,const EIGTYPE* lhs, Index lhsStride, \
+                          const EIGTYPE* /*rhs*/, Index /*rhsStride*/, EIGTYPE* res, Index resStride, EIGTYPE alpha, level3_blocking<EIGTYPE, EIGTYPE>& /*blocking*/) \
+  { \
+   typedef Matrix<EIGTYPE, Dynamic, Dynamic, AStorageOrder> MatrixType; \
+\
+   BlasIndex lda=convert_index<BlasIndex>(lhsStride), ldc=convert_index<BlasIndex>(resStride), n=convert_index<BlasIndex>(size), k=convert_index<BlasIndex>(depth); \
+   char uplo=((IsLower) ? 'L' : 'U'), trans=((AStorageOrder==RowMajor) ? 'C':'N'); \
+   RTYPE alpha_, beta_; \
+   const EIGTYPE* a_ptr; \
+\
+   alpha_ = alpha.real(); \
+   beta_ = 1.0; \
+/* Copy with conjugation in some cases*/ \
+   MatrixType a; \
+   if (conjA) { \
+     Map<const MatrixType, 0, OuterStride<> > mapA(lhs,n,k,OuterStride<>(lhsStride)); \
+     a = mapA.conjugate(); \
+     lda = a.outerStride(); \
+     a_ptr = a.data(); \
+   } else a_ptr=lhs; \
+   BLASFUNC(&uplo, &trans, &n, &k, &alpha_, (BLASTYPE*)a_ptr, &lda, &beta_, (BLASTYPE*)res, &ldc); \
+  } \
+};
+
+#ifdef EIGEN_USE_MKL
+EIGEN_BLAS_RANKUPDATE_R(double, double, dsyrk)
+EIGEN_BLAS_RANKUPDATE_R(float,  float,  ssyrk)
+#else
+EIGEN_BLAS_RANKUPDATE_R(double, double, dsyrk_)
+EIGEN_BLAS_RANKUPDATE_R(float,  float,  ssyrk_)
+#endif
+
+// TODO hanlde complex cases
+// EIGEN_BLAS_RANKUPDATE_C(dcomplex, double, double, zherk_)
+// EIGEN_BLAS_RANKUPDATE_C(scomplex, float,  float, cherk_)
+
+
+} // end namespace internal
+
+} // end namespace Eigen
+
+#endif // EIGEN_GENERAL_MATRIX_MATRIX_TRIANGULAR_BLAS_H
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h	(revision 3761)
@@ -0,0 +1,472 @@
+// This file is part of Eigen, a lightweight C++ template library
+// for linear algebra.
+//
+// Copyright (C) 2009 Gael Guennebaud <gael.guennebaud@inria.fr>
+//
+// This Source Code Form is subject to the terms of the Mozilla
+// Public License v. 2.0. If a copy of the MPL was not distributed
+// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
+
+#ifndef EIGEN_TRIANGULAR_MATRIX_MATRIX_H
+#define EIGEN_TRIANGULAR_MATRIX_MATRIX_H
+
+namespace Eigen { 
+
+namespace internal {
+
+// template<typename Scalar, int mr, int StorageOrder, bool Conjugate, int Mode>
+// struct gemm_pack_lhs_triangular
+// {
+//   Matrix<Scalar,mr,mr,
+//   void operator()(Scalar* blockA, const EIGEN_RESTRICT Scalar* _lhs, int lhsStride, int depth, int rows)
+//   {
+//     conj_if<NumTraits<Scalar>::IsComplex && Conjugate> cj;
+//     const_blas_data_mapper<Scalar, StorageOrder> lhs(_lhs,lhsStride);
+//     int count = 0;
+//     const int peeled_mc = (rows/mr)*mr;
+//     for(int i=0; i<peeled_mc; i+=mr)
+//     {
+//       for(int k=0; k<depth; k++)
+//         for(int w=0; w<mr; w++)
+//           blockA[count++] = cj(lhs(i+w, k));
+//     }
+//     for(int i=peeled_mc; i<rows; i++)
+//     {
+//       for(int k=0; k<depth; k++)
+//         blockA[count++] = cj(lhs(i, k));
+//     }
+//   }
+// };
+
+/* Optimized triangular matrix * matrix (_TRMM++) product built on top of
+ * the general matrix matrix product.
+ */
+template <typename Scalar, typename Index,
+          int Mode, bool LhsIsTriangular,
+          int LhsStorageOrder, bool ConjugateLhs,
+          int RhsStorageOrder, bool ConjugateRhs,
+          int ResStorageOrder, int ResInnerStride,
+          int Version = Specialized>
+struct product_triangular_matrix_matrix;
+
+template <typename Scalar, typename Index,
+          int Mode, bool LhsIsTriangular,
+          int LhsStorageOrder, bool ConjugateLhs,
+          int RhsStorageOrder, bool ConjugateRhs,
+          int ResInnerStride, int Version>
+struct product_triangular_matrix_matrix<Scalar,Index,Mode,LhsIsTriangular,
+                                           LhsStorageOrder,ConjugateLhs,
+                                           RhsStorageOrder,ConjugateRhs,RowMajor,ResInnerStride,Version>
+{
+  static EIGEN_STRONG_INLINE void run(
+    Index rows, Index cols, Index depth,
+    const Scalar* lhs, Index lhsStride,
+    const Scalar* rhs, Index rhsStride,
+    Scalar* res,       Index resIncr, Index resStride,
+    const Scalar& alpha, level3_blocking<Scalar,Scalar>& blocking)
+  {
+    product_triangular_matrix_matrix<Scalar, Index,
+      (Mode&(UnitDiag|ZeroDiag)) | ((Mode&Upper) ? Lower : Upper),
+      (!LhsIsTriangular),
+      RhsStorageOrder==RowMajor ? ColMajor : RowMajor,
+      ConjugateRhs,
+      LhsStorageOrder==RowMajor ? ColMajor : RowMajor,
+      ConjugateLhs,
+      ColMajor, ResInnerStride>
+      ::run(cols, rows, depth, rhs, rhsStride, lhs, lhsStride, res, resIncr, resStride, alpha, blocking);
+  }
+};
+
+// implements col-major += alpha * op(triangular) * op(general)
+template <typename Scalar, typename Index, int Mode,
+          int LhsStorageOrder, bool ConjugateLhs,
+          int RhsStorageOrder, bool ConjugateRhs,
+          int ResInnerStride, int Version>
+struct product_triangular_matrix_matrix<Scalar,Index,Mode,true,
+                                           LhsStorageOrder,ConjugateLhs,
+                                           RhsStorageOrder,ConjugateRhs,ColMajor,ResInnerStride,Version>
+{
+  
+  typedef gebp_traits<Scalar,Scalar> Traits;
+  enum {
+    SmallPanelWidth   = 2 * EIGEN_PLAIN_ENUM_MAX(Traits::mr,Traits::nr),
+    IsLower = (Mode&Lower) == Lower,
+    SetDiag = (Mode&(ZeroDiag|UnitDiag)) ? 0 : 1
+  };
+
+  static EIGEN_DONT_INLINE void run(
+    Index _rows, Index _cols, Index _depth,
+    const Scalar* _lhs, Index lhsStride,
+    const Scalar* _rhs, Index rhsStride,
+    Scalar* res,        Index resIncr, Index resStride,
+    const Scalar& alpha, level3_blocking<Scalar,Scalar>& blocking);
+};
+
+template <typename Scalar, typename Index, int Mode,
+          int LhsStorageOrder, bool ConjugateLhs,
+          int RhsStorageOrder, bool ConjugateRhs,
+          int ResInnerStride, int Version>
+EIGEN_DONT_INLINE void product_triangular_matrix_matrix<Scalar,Index,Mode,true,
+                                                        LhsStorageOrder,ConjugateLhs,
+                                                        RhsStorageOrder,ConjugateRhs,ColMajor,ResInnerStride,Version>::run(
+    Index _rows, Index _cols, Index _depth,
+    const Scalar* _lhs, Index lhsStride,
+    const Scalar* _rhs, Index rhsStride,
+    Scalar* _res,       Index resIncr, Index resStride,
+    const Scalar& alpha, level3_blocking<Scalar,Scalar>& blocking)
+  {
+    // strip zeros
+    Index diagSize  = (std::min)(_rows,_depth);
+    Index rows      = IsLower ? _rows : diagSize;
+    Index depth     = IsLower ? diagSize : _depth;
+    Index cols      = _cols;
+    
+    typedef const_blas_data_mapper<Scalar, Index, LhsStorageOrder> LhsMapper;
+    typedef const_blas_data_mapper<Scalar, Index, RhsStorageOrder> RhsMapper;
+    typedef blas_data_mapper<typename Traits::ResScalar, Index, ColMajor, Unaligned, ResInnerStride> ResMapper;
+    LhsMapper lhs(_lhs,lhsStride);
+    RhsMapper rhs(_rhs,rhsStride);
+    ResMapper res(_res, resStride, resIncr);
+
+    Index kc = blocking.kc();                   // cache block size along the K direction
+    Index mc = (std::min)(rows,blocking.mc());  // cache block size along the M direction
+    // The small panel size must not be larger than blocking size.
+    // Usually this should never be the case because SmallPanelWidth^2 is very small
+    // compared to L2 cache size, but let's be safe:
+    Index panelWidth = (std::min)(Index(SmallPanelWidth),(std::min)(kc,mc));
+
+    std::size_t sizeA = kc*mc;
+    std::size_t sizeB = kc*cols;
+
+    ei_declare_aligned_stack_constructed_variable(Scalar, blockA, sizeA, blocking.blockA());
+    ei_declare_aligned_stack_constructed_variable(Scalar, blockB, sizeB, blocking.blockB());
+
+    // To work around an "error: member reference base type 'Matrix<...>
+    // (Eigen::internal::constructor_without_unaligned_array_assert (*)())' is
+    // not a structure or union" compilation error in nvcc (tested V8.0.61),
+    // create a dummy internal::constructor_without_unaligned_array_assert
+    // object to pass to the Matrix constructor.
+    internal::constructor_without_unaligned_array_assert a;
+    Matrix<Scalar,SmallPanelWidth,SmallPanelWidth,LhsStorageOrder> triangularBuffer(a);
+    triangularBuffer.setZero();
+    if((Mode&ZeroDiag)==ZeroDiag)
+      triangularBuffer.diagonal().setZero();
+    else
+      triangularBuffer.diagonal().setOnes();
+
+    gebp_kernel<Scalar, Scalar, Index, ResMapper, Traits::mr, Traits::nr, ConjugateLhs, ConjugateRhs> gebp_kernel;
+    gemm_pack_lhs<Scalar, Index, LhsMapper, Traits::mr, Traits::LhsProgress, LhsStorageOrder> pack_lhs;
+    gemm_pack_rhs<Scalar, Index, RhsMapper, Traits::nr,RhsStorageOrder> pack_rhs;
+
+    for(Index k2=IsLower ? depth : 0;
+        IsLower ? k2>0 : k2<depth;
+        IsLower ? k2-=kc : k2+=kc)
+    {
+      Index actual_kc = (std::min)(IsLower ? k2 : depth-k2, kc);
+      Index actual_k2 = IsLower ? k2-actual_kc : k2;
+
+      // align blocks with the end of the triangular part for trapezoidal lhs
+      if((!IsLower)&&(k2<rows)&&(k2+actual_kc>rows))
+      {
+        actual_kc = rows-k2;
+        k2 = k2+actual_kc-kc;
+      }
+
+      pack_rhs(blockB, rhs.getSubMapper(actual_k2,0), actual_kc, cols);
+
+      // the selected lhs's panel has to be split in three different parts:
+      //  1 - the part which is zero => skip it
+      //  2 - the diagonal block => special kernel
+      //  3 - the dense panel below (lower case) or above (upper case) the diagonal block => GEPP
+
+      // the block diagonal, if any:
+      if(IsLower || actual_k2<rows)
+      {
+        // for each small vertical panels of lhs
+        for (Index k1=0; k1<actual_kc; k1+=panelWidth)
+        {
+          Index actualPanelWidth = std::min<Index>(actual_kc-k1, panelWidth);
+          Index lengthTarget = IsLower ? actual_kc-k1-actualPanelWidth : k1;
+          Index startBlock   = actual_k2+k1;
+          Index blockBOffset = k1;
+
+          // => GEBP with the micro triangular block
+          // The trick is to pack this micro block while filling the opposite triangular part with zeros.
+          // To this end we do an extra triangular copy to a small temporary buffer
+          for (Index k=0;k<actualPanelWidth;++k)
+          {
+            if (SetDiag)
+              triangularBuffer.coeffRef(k,k) = lhs(startBlock+k,startBlock+k);
+            for (Index i=IsLower ? k+1 : 0; IsLower ? i<actualPanelWidth : i<k; ++i)
+              triangularBuffer.coeffRef(i,k) = lhs(startBlock+i,startBlock+k);
+          }
+          pack_lhs(blockA, LhsMapper(triangularBuffer.data(), triangularBuffer.outerStride()), actualPanelWidth, actualPanelWidth);
+
+          gebp_kernel(res.getSubMapper(startBlock, 0), blockA, blockB,
+                      actualPanelWidth, actualPanelWidth, cols, alpha,
+                      actualPanelWidth, actual_kc, 0, blockBOffset);
+
+          // GEBP with remaining micro panel
+          if (lengthTarget>0)
+          {
+            Index startTarget  = IsLower ? actual_k2+k1+actualPanelWidth : actual_k2;
+
+            pack_lhs(blockA, lhs.getSubMapper(startTarget,startBlock), actualPanelWidth, lengthTarget);
+
+            gebp_kernel(res.getSubMapper(startTarget, 0), blockA, blockB,
+                        lengthTarget, actualPanelWidth, cols, alpha,
+                        actualPanelWidth, actual_kc, 0, blockBOffset);
+          }
+        }
+      }
+      // the part below (lower case) or above (upper case) the diagonal => GEPP
+      {
+        Index start = IsLower ? k2 : 0;
+        Index end   = IsLower ? rows : (std::min)(actual_k2,rows);
+        for(Index i2=start; i2<end; i2+=mc)
+        {
+          const Index actual_mc = (std::min)(i2+mc,end)-i2;
+          gemm_pack_lhs<Scalar, Index, LhsMapper, Traits::mr,Traits::LhsProgress, LhsStorageOrder,false>()
+            (blockA, lhs.getSubMapper(i2, actual_k2), actual_kc, actual_mc);
+
+          gebp_kernel(res.getSubMapper(i2, 0), blockA, blockB, actual_mc,
+                      actual_kc, cols, alpha, -1, -1, 0, 0);
+        }
+      }
+    }
+  }
+
+// implements col-major += alpha * op(general) * op(triangular)
+template <typename Scalar, typename Index, int Mode,
+          int LhsStorageOrder, bool ConjugateLhs,
+          int RhsStorageOrder, bool ConjugateRhs,
+          int ResInnerStride, int Version>
+struct product_triangular_matrix_matrix<Scalar,Index,Mode,false,
+                                        LhsStorageOrder,ConjugateLhs,
+                                        RhsStorageOrder,ConjugateRhs,ColMajor,ResInnerStride,Version>
+{
+  typedef gebp_traits<Scalar,Scalar> Traits;
+  enum {
+    SmallPanelWidth   = EIGEN_PLAIN_ENUM_MAX(Traits::mr,Traits::nr),
+    IsLower = (Mode&Lower) == Lower,
+    SetDiag = (Mode&(ZeroDiag|UnitDiag)) ? 0 : 1
+  };
+
+  static EIGEN_DONT_INLINE void run(
+    Index _rows, Index _cols, Index _depth,
+    const Scalar* _lhs, Index lhsStride,
+    const Scalar* _rhs, Index rhsStride,
+    Scalar* res,        Index resIncr, Index resStride,
+    const Scalar& alpha, level3_blocking<Scalar,Scalar>& blocking);
+};
+
+template <typename Scalar, typename Index, int Mode,
+          int LhsStorageOrder, bool ConjugateLhs,
+          int RhsStorageOrder, bool ConjugateRhs,
+          int ResInnerStride, int Version>
+EIGEN_DONT_INLINE void product_triangular_matrix_matrix<Scalar,Index,Mode,false,
+                                                        LhsStorageOrder,ConjugateLhs,
+                                                        RhsStorageOrder,ConjugateRhs,ColMajor,ResInnerStride,Version>::run(
+    Index _rows, Index _cols, Index _depth,
+    const Scalar* _lhs, Index lhsStride,
+    const Scalar* _rhs, Index rhsStride,
+    Scalar* _res,       Index resIncr, Index resStride,
+    const Scalar& alpha, level3_blocking<Scalar,Scalar>& blocking)
+  {
+    const Index PacketBytes = packet_traits<Scalar>::size*sizeof(Scalar);
+    // strip zeros
+    Index diagSize  = (std::min)(_cols,_depth);
+    Index rows      = _rows;
+    Index depth     = IsLower ? _depth : diagSize;
+    Index cols      = IsLower ? diagSize : _cols;
+    
+    typedef const_blas_data_mapper<Scalar, Index, LhsStorageOrder> LhsMapper;
+    typedef const_blas_data_mapper<Scalar, Index, RhsStorageOrder> RhsMapper;
+    typedef blas_data_mapper<typename Traits::ResScalar, Index, ColMajor, Unaligned, ResInnerStride> ResMapper;
+    LhsMapper lhs(_lhs,lhsStride);
+    RhsMapper rhs(_rhs,rhsStride);
+    ResMapper res(_res, resStride, resIncr);
+
+    Index kc = blocking.kc();                   // cache block size along the K direction
+    Index mc = (std::min)(rows,blocking.mc());  // cache block size along the M direction
+
+    std::size_t sizeA = kc*mc;
+    std::size_t sizeB = kc*cols+EIGEN_MAX_ALIGN_BYTES/sizeof(Scalar);
+
+    ei_declare_aligned_stack_constructed_variable(Scalar, blockA, sizeA, blocking.blockA());
+    ei_declare_aligned_stack_constructed_variable(Scalar, blockB, sizeB, blocking.blockB());
+
+    internal::constructor_without_unaligned_array_assert a;
+    Matrix<Scalar,SmallPanelWidth,SmallPanelWidth,RhsStorageOrder> triangularBuffer(a);
+    triangularBuffer.setZero();
+    if((Mode&ZeroDiag)==ZeroDiag)
+      triangularBuffer.diagonal().setZero();
+    else
+      triangularBuffer.diagonal().setOnes();
+
+    gebp_kernel<Scalar, Scalar, Index, ResMapper, Traits::mr, Traits::nr, ConjugateLhs, ConjugateRhs> gebp_kernel;
+    gemm_pack_lhs<Scalar, Index, LhsMapper, Traits::mr, Traits::LhsProgress, LhsStorageOrder> pack_lhs;
+    gemm_pack_rhs<Scalar, Index, RhsMapper, Traits::nr,RhsStorageOrder> pack_rhs;
+    gemm_pack_rhs<Scalar, Index, RhsMapper, Traits::nr,RhsStorageOrder,false,true> pack_rhs_panel;
+
+    for(Index k2=IsLower ? 0 : depth;
+        IsLower ? k2<depth  : k2>0;
+        IsLower ? k2+=kc   : k2-=kc)
+    {
+      Index actual_kc = (std::min)(IsLower ? depth-k2 : k2, kc);
+      Index actual_k2 = IsLower ? k2 : k2-actual_kc;
+
+      // align blocks with the end of the triangular part for trapezoidal rhs
+      if(IsLower && (k2<cols) && (actual_k2+actual_kc>cols))
+      {
+        actual_kc = cols-k2;
+        k2 = actual_k2 + actual_kc - kc;
+      }
+
+      // remaining size
+      Index rs = IsLower ? (std::min)(cols,actual_k2) : cols - k2;
+      // size of the triangular part
+      Index ts = (IsLower && actual_k2>=cols) ? 0 : actual_kc;
+
+      Scalar* geb = blockB+ts*ts;
+      geb = geb + internal::first_aligned<PacketBytes>(geb,PacketBytes/sizeof(Scalar));
+
+      pack_rhs(geb, rhs.getSubMapper(actual_k2,IsLower ? 0 : k2), actual_kc, rs);
+
+      // pack the triangular part of the rhs padding the unrolled blocks with zeros
+      if(ts>0)
+      {
+        for (Index j2=0; j2<actual_kc; j2+=SmallPanelWidth)
+        {
+          Index actualPanelWidth = std::min<Index>(actual_kc-j2, SmallPanelWidth);
+          Index actual_j2 = actual_k2 + j2;
+          Index panelOffset = IsLower ? j2+actualPanelWidth : 0;
+          Index panelLength = IsLower ? actual_kc-j2-actualPanelWidth : j2;
+          // general part
+          pack_rhs_panel(blockB+j2*actual_kc,
+                         rhs.getSubMapper(actual_k2+panelOffset, actual_j2),
+                         panelLength, actualPanelWidth,
+                         actual_kc, panelOffset);
+
+          // append the triangular part via a temporary buffer
+          for (Index j=0;j<actualPanelWidth;++j)
+          {
+            if (SetDiag)
+              triangularBuffer.coeffRef(j,j) = rhs(actual_j2+j,actual_j2+j);
+            for (Index k=IsLower ? j+1 : 0; IsLower ? k<actualPanelWidth : k<j; ++k)
+              triangularBuffer.coeffRef(k,j) = rhs(actual_j2+k,actual_j2+j);
+          }
+
+          pack_rhs_panel(blockB+j2*actual_kc,
+                         RhsMapper(triangularBuffer.data(), triangularBuffer.outerStride()),
+                         actualPanelWidth, actualPanelWidth,
+                         actual_kc, j2);
+        }
+      }
+
+      for (Index i2=0; i2<rows; i2+=mc)
+      {
+        const Index actual_mc = (std::min)(mc,rows-i2);
+        pack_lhs(blockA, lhs.getSubMapper(i2, actual_k2), actual_kc, actual_mc);
+
+        // triangular kernel
+        if(ts>0)
+        {
+          for (Index j2=0; j2<actual_kc; j2+=SmallPanelWidth)
+          {
+            Index actualPanelWidth = std::min<Index>(actual_kc-j2, SmallPanelWidth);
+            Index panelLength = IsLower ? actual_kc-j2 : j2+actualPanelWidth;
+            Index blockOffset = IsLower ? j2 : 0;
+
+            gebp_kernel(res.getSubMapper(i2, actual_k2 + j2),
+                        blockA, blockB+j2*actual_kc,
+                        actual_mc, panelLength, actualPanelWidth,
+                        alpha,
+                        actual_kc, actual_kc,  // strides
+                        blockOffset, blockOffset);// offsets
+          }
+        }
+        gebp_kernel(res.getSubMapper(i2, IsLower ? 0 : k2),
+                    blockA, geb, actual_mc, actual_kc, rs,
+                    alpha,
+                    -1, -1, 0, 0);
+      }
+    }
+  }
+
+/***************************************************************************
+* Wrapper to product_triangular_matrix_matrix
+***************************************************************************/
+
+} // end namespace internal
+
+namespace internal {
+template<int Mode, bool LhsIsTriangular, typename Lhs, typename Rhs>
+struct triangular_product_impl<Mode,LhsIsTriangular,Lhs,false,Rhs,false>
+{
+  template<typename Dest> static void run(Dest& dst, const Lhs &a_lhs, const Rhs &a_rhs, const typename Dest::Scalar& alpha)
+  {
+    typedef typename Lhs::Scalar  LhsScalar;
+    typedef typename Rhs::Scalar  RhsScalar;
+    typedef typename Dest::Scalar Scalar;
+    
+    typedef internal::blas_traits<Lhs> LhsBlasTraits;
+    typedef typename LhsBlasTraits::DirectLinearAccessType ActualLhsType;
+    typedef typename internal::remove_all<ActualLhsType>::type ActualLhsTypeCleaned;
+    typedef internal::blas_traits<Rhs> RhsBlasTraits;
+    typedef typename RhsBlasTraits::DirectLinearAccessType ActualRhsType;
+    typedef typename internal::remove_all<ActualRhsType>::type ActualRhsTypeCleaned;
+    
+    typename internal::add_const_on_value_type<ActualLhsType>::type lhs = LhsBlasTraits::extract(a_lhs);
+    typename internal::add_const_on_value_type<ActualRhsType>::type rhs = RhsBlasTraits::extract(a_rhs);
+
+    LhsScalar lhs_alpha = LhsBlasTraits::extractScalarFactor(a_lhs);
+    RhsScalar rhs_alpha = RhsBlasTraits::extractScalarFactor(a_rhs);
+    Scalar actualAlpha = alpha * lhs_alpha * rhs_alpha;
+
+    typedef internal::gemm_blocking_space<(Dest::Flags&RowMajorBit) ? RowMajor : ColMajor,Scalar,Scalar,
+              Lhs::MaxRowsAtCompileTime, Rhs::MaxColsAtCompileTime, Lhs::MaxColsAtCompileTime,4> BlockingType;
+
+    enum { IsLower = (Mode&Lower) == Lower };
+    Index stripedRows  = ((!LhsIsTriangular) || (IsLower))  ? lhs.rows() : (std::min)(lhs.rows(),lhs.cols());
+    Index stripedCols  = ((LhsIsTriangular)  || (!IsLower)) ? rhs.cols() : (std::min)(rhs.cols(),rhs.rows());
+    Index stripedDepth = LhsIsTriangular ? ((!IsLower) ? lhs.cols() : (std::min)(lhs.cols(),lhs.rows()))
+                                         : ((IsLower)  ? rhs.rows() : (std::min)(rhs.rows(),rhs.cols()));
+
+    BlockingType blocking(stripedRows, stripedCols, stripedDepth, 1, false);
+
+    internal::product_triangular_matrix_matrix<Scalar, Index,
+      Mode, LhsIsTriangular,
+      (internal::traits<ActualLhsTypeCleaned>::Flags&RowMajorBit) ? RowMajor : ColMajor, LhsBlasTraits::NeedToConjugate,
+      (internal::traits<ActualRhsTypeCleaned>::Flags&RowMajorBit) ? RowMajor : ColMajor, RhsBlasTraits::NeedToConjugate,
+      (internal::traits<Dest          >::Flags&RowMajorBit) ? RowMajor : ColMajor, Dest::InnerStrideAtCompileTime>
+      ::run(
+        stripedRows, stripedCols, stripedDepth,   // sizes
+        &lhs.coeffRef(0,0), lhs.outerStride(),    // lhs info
+        &rhs.coeffRef(0,0), rhs.outerStride(),    // rhs info
+        &dst.coeffRef(0,0), dst.innerStride(), dst.outerStride(),    // result info
+        actualAlpha, blocking
+      );
+
+    // Apply correction if the diagonal is unit and a scalar factor was nested:
+    if ((Mode&UnitDiag)==UnitDiag)
+    {
+      if (LhsIsTriangular && lhs_alpha!=LhsScalar(1))
+      {
+        Index diagSize = (std::min)(lhs.rows(),lhs.cols());
+        dst.topRows(diagSize) -= ((lhs_alpha-LhsScalar(1))*a_rhs).topRows(diagSize);
+      }
+      else if ((!LhsIsTriangular) && rhs_alpha!=RhsScalar(1))
+      {
+        Index diagSize = (std::min)(rhs.rows(),rhs.cols());
+        dst.leftCols(diagSize) -= (rhs_alpha-RhsScalar(1))*a_lhs.leftCols(diagSize);
+      }
+    }
+  }
+};
+
+} // end namespace internal
+
+} // end namespace Eigen
+
+#endif // EIGEN_TRIANGULAR_MATRIX_MATRIX_H
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix_BLAS.h
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix_BLAS.h	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix_BLAS.h	(revision 3761)
@@ -0,0 +1,317 @@
+/*
+ Copyright (c) 2011, Intel Corporation. All rights reserved.
+
+ Redistribution and use in source and binary forms, with or without modification,
+ are permitted provided that the following conditions are met:
+
+ * Redistributions of source code must retain the above copyright notice, this
+   list of conditions and the following disclaimer.
+ * Redistributions in binary form must reproduce the above copyright notice,
+   this list of conditions and the following disclaimer in the documentation
+   and/or other materials provided with the distribution.
+ * Neither the name of Intel Corporation nor the names of its contributors may
+   be used to endorse or promote products derived from this software without
+   specific prior written permission.
+
+ THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND
+ ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED
+ WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
+ DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE LIABLE FOR
+ ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES
+ (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES;
+ LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON
+ ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
+ (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS
+ SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
+
+ ********************************************************************************
+ *   Content : Eigen bindings to BLAS F77
+ *   Triangular matrix * matrix product functionality based on ?TRMM.
+ ********************************************************************************
+*/
+
+#ifndef EIGEN_TRIANGULAR_MATRIX_MATRIX_BLAS_H
+#define EIGEN_TRIANGULAR_MATRIX_MATRIX_BLAS_H
+
+namespace Eigen { 
+
+namespace internal {
+
+
+template <typename Scalar, typename Index,
+          int Mode, bool LhsIsTriangular,
+          int LhsStorageOrder, bool ConjugateLhs,
+          int RhsStorageOrder, bool ConjugateRhs,
+          int ResStorageOrder>
+struct product_triangular_matrix_matrix_trmm :
+       product_triangular_matrix_matrix<Scalar,Index,Mode,
+          LhsIsTriangular,LhsStorageOrder,ConjugateLhs,
+          RhsStorageOrder, ConjugateRhs, ResStorageOrder, 1, BuiltIn> {};
+
+
+// try to go to BLAS specialization
+#define EIGEN_BLAS_TRMM_SPECIALIZE(Scalar, LhsIsTriangular) \
+template <typename Index, int Mode, \
+          int LhsStorageOrder, bool ConjugateLhs, \
+          int RhsStorageOrder, bool ConjugateRhs> \
+struct product_triangular_matrix_matrix<Scalar,Index, Mode, LhsIsTriangular, \
+           LhsStorageOrder,ConjugateLhs, RhsStorageOrder,ConjugateRhs,ColMajor,1,Specialized> { \
+  static inline void run(Index _rows, Index _cols, Index _depth, const Scalar* _lhs, Index lhsStride,\
+    const Scalar* _rhs, Index rhsStride, Scalar* res, Index resIncr, Index resStride, Scalar alpha, level3_blocking<Scalar,Scalar>& blocking) { \
+      EIGEN_ONLY_USED_FOR_DEBUG(resIncr); \
+      eigen_assert(resIncr == 1); \
+      product_triangular_matrix_matrix_trmm<Scalar,Index,Mode, \
+        LhsIsTriangular,LhsStorageOrder,ConjugateLhs, \
+        RhsStorageOrder, ConjugateRhs, ColMajor>::run( \
+          _rows, _cols, _depth, _lhs, lhsStride, _rhs, rhsStride, res, resStride, alpha, blocking); \
+  } \
+};
+
+EIGEN_BLAS_TRMM_SPECIALIZE(double, true)
+EIGEN_BLAS_TRMM_SPECIALIZE(double, false)
+EIGEN_BLAS_TRMM_SPECIALIZE(dcomplex, true)
+EIGEN_BLAS_TRMM_SPECIALIZE(dcomplex, false)
+EIGEN_BLAS_TRMM_SPECIALIZE(float, true)
+EIGEN_BLAS_TRMM_SPECIALIZE(float, false)
+EIGEN_BLAS_TRMM_SPECIALIZE(scomplex, true)
+EIGEN_BLAS_TRMM_SPECIALIZE(scomplex, false)
+
+// implements col-major += alpha * op(triangular) * op(general)
+#define EIGEN_BLAS_TRMM_L(EIGTYPE, BLASTYPE, EIGPREFIX, BLASFUNC) \
+template <typename Index, int Mode, \
+          int LhsStorageOrder, bool ConjugateLhs, \
+          int RhsStorageOrder, bool ConjugateRhs> \
+struct product_triangular_matrix_matrix_trmm<EIGTYPE,Index,Mode,true, \
+         LhsStorageOrder,ConjugateLhs,RhsStorageOrder,ConjugateRhs,ColMajor> \
+{ \
+  enum { \
+    IsLower = (Mode&Lower) == Lower, \
+    SetDiag = (Mode&(ZeroDiag|UnitDiag)) ? 0 : 1, \
+    IsUnitDiag  = (Mode&UnitDiag) ? 1 : 0, \
+    IsZeroDiag  = (Mode&ZeroDiag) ? 1 : 0, \
+    LowUp = IsLower ? Lower : Upper, \
+    conjA = ((LhsStorageOrder==ColMajor) && ConjugateLhs) ? 1 : 0 \
+  }; \
+\
+  static void run( \
+    Index _rows, Index _cols, Index _depth, \
+    const EIGTYPE* _lhs, Index lhsStride, \
+    const EIGTYPE* _rhs, Index rhsStride, \
+    EIGTYPE* res,        Index resStride, \
+    EIGTYPE alpha, level3_blocking<EIGTYPE,EIGTYPE>& blocking) \
+  { \
+   Index diagSize  = (std::min)(_rows,_depth); \
+   Index rows      = IsLower ? _rows : diagSize; \
+   Index depth     = IsLower ? diagSize : _depth; \
+   Index cols      = _cols; \
+\
+   typedef Matrix<EIGTYPE, Dynamic, Dynamic, LhsStorageOrder> MatrixLhs; \
+   typedef Matrix<EIGTYPE, Dynamic, Dynamic, RhsStorageOrder> MatrixRhs; \
+\
+/* Non-square case - doesn't fit to BLAS ?TRMM. Fall to default triangular product or call BLAS ?GEMM*/ \
+   if (rows != depth) { \
+\
+     /* FIXME handle mkl_domain_get_max_threads */ \
+     /*int nthr = mkl_domain_get_max_threads(EIGEN_BLAS_DOMAIN_BLAS);*/ int nthr = 1;\
+\
+     if (((nthr==1) && (((std::max)(rows,depth)-diagSize)/(double)diagSize < 0.5))) { \
+     /* Most likely no benefit to call TRMM or GEMM from BLAS */ \
+       product_triangular_matrix_matrix<EIGTYPE,Index,Mode,true, \
+       LhsStorageOrder,ConjugateLhs, RhsStorageOrder, ConjugateRhs, ColMajor, 1, BuiltIn>::run( \
+           _rows, _cols, _depth, _lhs, lhsStride, _rhs, rhsStride, res, 1, resStride, alpha, blocking); \
+     /*std::cout << "TRMM_L: A is not square! Go to Eigen TRMM implementation!\n";*/ \
+     } else { \
+     /* Make sense to call GEMM */ \
+       Map<const MatrixLhs, 0, OuterStride<> > lhsMap(_lhs,rows,depth,OuterStride<>(lhsStride)); \
+       MatrixLhs aa_tmp=lhsMap.template triangularView<Mode>(); \
+       BlasIndex aStride = convert_index<BlasIndex>(aa_tmp.outerStride()); \
+       gemm_blocking_space<ColMajor,EIGTYPE,EIGTYPE,Dynamic,Dynamic,Dynamic> gemm_blocking(_rows,_cols,_depth, 1, true); \
+       general_matrix_matrix_product<Index,EIGTYPE,LhsStorageOrder,ConjugateLhs,EIGTYPE,RhsStorageOrder,ConjugateRhs,ColMajor,1>::run( \
+       rows, cols, depth, aa_tmp.data(), aStride, _rhs, rhsStride, res, 1, resStride, alpha, gemm_blocking, 0); \
+\
+     /*std::cout << "TRMM_L: A is not square! Go to BLAS GEMM implementation! " << nthr<<" \n";*/ \
+     } \
+     return; \
+   } \
+   char side = 'L', transa, uplo, diag = 'N'; \
+   EIGTYPE *b; \
+   const EIGTYPE *a; \
+   BlasIndex m, n, lda, ldb; \
+\
+/* Set m, n */ \
+   m = convert_index<BlasIndex>(diagSize); \
+   n = convert_index<BlasIndex>(cols); \
+\
+/* Set trans */ \
+   transa = (LhsStorageOrder==RowMajor) ? ((ConjugateLhs) ? 'C' : 'T') : 'N'; \
+\
+/* Set b, ldb */ \
+   Map<const MatrixRhs, 0, OuterStride<> > rhs(_rhs,depth,cols,OuterStride<>(rhsStride)); \
+   MatrixX##EIGPREFIX b_tmp; \
+\
+   if (ConjugateRhs) b_tmp = rhs.conjugate(); else b_tmp = rhs; \
+   b = b_tmp.data(); \
+   ldb = convert_index<BlasIndex>(b_tmp.outerStride()); \
+\
+/* Set uplo */ \
+   uplo = IsLower ? 'L' : 'U'; \
+   if (LhsStorageOrder==RowMajor) uplo = (uplo == 'L') ? 'U' : 'L'; \
+/* Set a, lda */ \
+   Map<const MatrixLhs, 0, OuterStride<> > lhs(_lhs,rows,depth,OuterStride<>(lhsStride)); \
+   MatrixLhs a_tmp; \
+\
+   if ((conjA!=0) || (SetDiag==0)) { \
+     if (conjA) a_tmp = lhs.conjugate(); else a_tmp = lhs; \
+     if (IsZeroDiag) \
+       a_tmp.diagonal().setZero(); \
+     else if (IsUnitDiag) \
+       a_tmp.diagonal().setOnes();\
+     a = a_tmp.data(); \
+     lda = convert_index<BlasIndex>(a_tmp.outerStride()); \
+   } else { \
+     a = _lhs; \
+     lda = convert_index<BlasIndex>(lhsStride); \
+   } \
+   /*std::cout << "TRMM_L: A is square! Go to BLAS TRMM implementation! \n";*/ \
+/* call ?trmm*/ \
+   BLASFUNC(&side, &uplo, &transa, &diag, &m, &n, (const BLASTYPE*)&numext::real_ref(alpha), (const BLASTYPE*)a, &lda, (BLASTYPE*)b, &ldb); \
+\
+/* Add op(a_triangular)*b into res*/ \
+   Map<MatrixX##EIGPREFIX, 0, OuterStride<> > res_tmp(res,rows,cols,OuterStride<>(resStride)); \
+   res_tmp=res_tmp+b_tmp; \
+  } \
+};
+
+#ifdef EIGEN_USE_MKL
+EIGEN_BLAS_TRMM_L(double, double, d, dtrmm)
+EIGEN_BLAS_TRMM_L(dcomplex, MKL_Complex16, cd, ztrmm)
+EIGEN_BLAS_TRMM_L(float, float, f, strmm)
+EIGEN_BLAS_TRMM_L(scomplex, MKL_Complex8, cf, ctrmm)
+#else
+EIGEN_BLAS_TRMM_L(double, double, d, dtrmm_)
+EIGEN_BLAS_TRMM_L(dcomplex, double, cd, ztrmm_)
+EIGEN_BLAS_TRMM_L(float, float, f, strmm_)
+EIGEN_BLAS_TRMM_L(scomplex, float, cf, ctrmm_)
+#endif
+
+// implements col-major += alpha * op(general) * op(triangular)
+#define EIGEN_BLAS_TRMM_R(EIGTYPE, BLASTYPE, EIGPREFIX, BLASFUNC) \
+template <typename Index, int Mode, \
+          int LhsStorageOrder, bool ConjugateLhs, \
+          int RhsStorageOrder, bool ConjugateRhs> \
+struct product_triangular_matrix_matrix_trmm<EIGTYPE,Index,Mode,false, \
+         LhsStorageOrder,ConjugateLhs,RhsStorageOrder,ConjugateRhs,ColMajor> \
+{ \
+  enum { \
+    IsLower = (Mode&Lower) == Lower, \
+    SetDiag = (Mode&(ZeroDiag|UnitDiag)) ? 0 : 1, \
+    IsUnitDiag  = (Mode&UnitDiag) ? 1 : 0, \
+    IsZeroDiag  = (Mode&ZeroDiag) ? 1 : 0, \
+    LowUp = IsLower ? Lower : Upper, \
+    conjA = ((RhsStorageOrder==ColMajor) && ConjugateRhs) ? 1 : 0 \
+  }; \
+\
+  static void run( \
+    Index _rows, Index _cols, Index _depth, \
+    const EIGTYPE* _lhs, Index lhsStride, \
+    const EIGTYPE* _rhs, Index rhsStride, \
+    EIGTYPE* res,        Index resStride, \
+    EIGTYPE alpha, level3_blocking<EIGTYPE,EIGTYPE>& blocking) \
+  { \
+   Index diagSize  = (std::min)(_cols,_depth); \
+   Index rows      = _rows; \
+   Index depth     = IsLower ? _depth : diagSize; \
+   Index cols      = IsLower ? diagSize : _cols; \
+\
+   typedef Matrix<EIGTYPE, Dynamic, Dynamic, LhsStorageOrder> MatrixLhs; \
+   typedef Matrix<EIGTYPE, Dynamic, Dynamic, RhsStorageOrder> MatrixRhs; \
+\
+/* Non-square case - doesn't fit to BLAS ?TRMM. Fall to default triangular product or call BLAS ?GEMM*/ \
+   if (cols != depth) { \
+\
+     int nthr = 1 /*mkl_domain_get_max_threads(EIGEN_BLAS_DOMAIN_BLAS)*/; \
+\
+     if ((nthr==1) && (((std::max)(cols,depth)-diagSize)/(double)diagSize < 0.5)) { \
+     /* Most likely no benefit to call TRMM or GEMM from BLAS*/ \
+       product_triangular_matrix_matrix<EIGTYPE,Index,Mode,false, \
+       LhsStorageOrder,ConjugateLhs, RhsStorageOrder, ConjugateRhs, ColMajor, 1, BuiltIn>::run( \
+           _rows, _cols, _depth, _lhs, lhsStride, _rhs, rhsStride, res, 1, resStride, alpha, blocking); \
+       /*std::cout << "TRMM_R: A is not square! Go to Eigen TRMM implementation!\n";*/ \
+     } else { \
+     /* Make sense to call GEMM */ \
+       Map<const MatrixRhs, 0, OuterStride<> > rhsMap(_rhs,depth,cols, OuterStride<>(rhsStride)); \
+       MatrixRhs aa_tmp=rhsMap.template triangularView<Mode>(); \
+       BlasIndex aStride = convert_index<BlasIndex>(aa_tmp.outerStride()); \
+       gemm_blocking_space<ColMajor,EIGTYPE,EIGTYPE,Dynamic,Dynamic,Dynamic> gemm_blocking(_rows,_cols,_depth, 1, true); \
+       general_matrix_matrix_product<Index,EIGTYPE,LhsStorageOrder,ConjugateLhs,EIGTYPE,RhsStorageOrder,ConjugateRhs,ColMajor,1>::run( \
+       rows, cols, depth, _lhs, lhsStride, aa_tmp.data(), aStride, res, 1, resStride, alpha, gemm_blocking, 0); \
+\
+     /*std::cout << "TRMM_R: A is not square! Go to BLAS GEMM implementation! " << nthr<<" \n";*/ \
+     } \
+     return; \
+   } \
+   char side = 'R', transa, uplo, diag = 'N'; \
+   EIGTYPE *b; \
+   const EIGTYPE *a; \
+   BlasIndex m, n, lda, ldb; \
+\
+/* Set m, n */ \
+   m = convert_index<BlasIndex>(rows); \
+   n = convert_index<BlasIndex>(diagSize); \
+\
+/* Set trans */ \
+   transa = (RhsStorageOrder==RowMajor) ? ((ConjugateRhs) ? 'C' : 'T') : 'N'; \
+\
+/* Set b, ldb */ \
+   Map<const MatrixLhs, 0, OuterStride<> > lhs(_lhs,rows,depth,OuterStride<>(lhsStride)); \
+   MatrixX##EIGPREFIX b_tmp; \
+\
+   if (ConjugateLhs) b_tmp = lhs.conjugate(); else b_tmp = lhs; \
+   b = b_tmp.data(); \
+   ldb = convert_index<BlasIndex>(b_tmp.outerStride()); \
+\
+/* Set uplo */ \
+   uplo = IsLower ? 'L' : 'U'; \
+   if (RhsStorageOrder==RowMajor) uplo = (uplo == 'L') ? 'U' : 'L'; \
+/* Set a, lda */ \
+   Map<const MatrixRhs, 0, OuterStride<> > rhs(_rhs,depth,cols, OuterStride<>(rhsStride)); \
+   MatrixRhs a_tmp; \
+\
+   if ((conjA!=0) || (SetDiag==0)) { \
+     if (conjA) a_tmp = rhs.conjugate(); else a_tmp = rhs; \
+     if (IsZeroDiag) \
+       a_tmp.diagonal().setZero(); \
+     else if (IsUnitDiag) \
+       a_tmp.diagonal().setOnes();\
+     a = a_tmp.data(); \
+     lda = convert_index<BlasIndex>(a_tmp.outerStride()); \
+   } else { \
+     a = _rhs; \
+     lda = convert_index<BlasIndex>(rhsStride); \
+   } \
+   /*std::cout << "TRMM_R: A is square! Go to BLAS TRMM implementation! \n";*/ \
+/* call ?trmm*/ \
+   BLASFUNC(&side, &uplo, &transa, &diag, &m, &n, (const BLASTYPE*)&numext::real_ref(alpha), (const BLASTYPE*)a, &lda, (BLASTYPE*)b, &ldb); \
+\
+/* Add op(a_triangular)*b into res*/ \
+   Map<MatrixX##EIGPREFIX, 0, OuterStride<> > res_tmp(res,rows,cols,OuterStride<>(resStride)); \
+   res_tmp=res_tmp+b_tmp; \
+  } \
+};
+
+#ifdef EIGEN_USE_MKL
+EIGEN_BLAS_TRMM_R(double, double, d, dtrmm)
+EIGEN_BLAS_TRMM_R(dcomplex, MKL_Complex16, cd, ztrmm)
+EIGEN_BLAS_TRMM_R(float, float, f, strmm)
+EIGEN_BLAS_TRMM_R(scomplex, MKL_Complex8, cf, ctrmm)
+#else
+EIGEN_BLAS_TRMM_R(double, double, d, dtrmm_)
+EIGEN_BLAS_TRMM_R(dcomplex, double, cd, ztrmm_)
+EIGEN_BLAS_TRMM_R(float, float, f, strmm_)
+EIGEN_BLAS_TRMM_R(scomplex, float, cf, ctrmm_)
+#endif
+} // end namespace internal
+
+} // end namespace Eigen
+
+#endif // EIGEN_TRIANGULAR_MATRIX_MATRIX_BLAS_H
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h	(revision 3761)
@@ -0,0 +1,619 @@
+// This file is part of Eigen, a lightweight C++ template library
+// for linear algebra.
+//
+// Copyright (C) 2008-2009 Gael Guennebaud <gael.guennebaud@inria.fr>
+//
+// This Source Code Form is subject to the terms of the Mozilla
+// Public License v. 2.0. If a copy of the MPL was not distributed
+// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
+
+#ifndef EIGEN_GENERAL_MATRIX_VECTOR_H
+#define EIGEN_GENERAL_MATRIX_VECTOR_H
+
+namespace Eigen {
+
+namespace internal {
+
+/* Optimized col-major matrix * vector product:
+ * This algorithm processes 4 columns at onces that allows to both reduce
+ * the number of load/stores of the result by a factor 4 and to reduce
+ * the instruction dependency. Moreover, we know that all bands have the
+ * same alignment pattern.
+ *
+ * Mixing type logic: C += alpha * A * B
+ *  |  A  |  B  |alpha| comments
+ *  |real |cplx |cplx | no vectorization
+ *  |real |cplx |real | alpha is converted to a cplx when calling the run function, no vectorization
+ *  |cplx |real |cplx | invalid, the caller has to do tmp: = A * B; C += alpha*tmp
+ *  |cplx |real |real | optimal case, vectorization possible via real-cplx mul
+ *
+ * Accesses to the matrix coefficients follow the following logic:
+ *
+ * - if all columns have the same alignment then
+ *   - if the columns have the same alignment as the result vector, then easy! (-> AllAligned case)
+ *   - otherwise perform unaligned loads only (-> NoneAligned case)
+ * - otherwise
+ *   - if even columns have the same alignment then
+ *     // odd columns are guaranteed to have the same alignment too
+ *     - if even or odd columns have the same alignment as the result, then
+ *       // for a register size of 2 scalars, this is guarantee to be the case (e.g., SSE with double)
+ *       - perform half aligned and half unaligned loads (-> EvenAligned case)
+ *     - otherwise perform unaligned loads only (-> NoneAligned case)
+ *   - otherwise, if the register size is 4 scalars (e.g., SSE with float) then
+ *     - one over 4 consecutive columns is guaranteed to be aligned with the result vector,
+ *       perform simple aligned loads for this column and aligned loads plus re-alignment for the other. (-> FirstAligned case)
+ *       // this re-alignment is done by the palign function implemented for SSE in Eigen/src/Core/arch/SSE/PacketMath.h
+ *   - otherwise,
+ *     // if we get here, this means the register size is greater than 4 (e.g., AVX with floats),
+ *     // we currently fall back to the NoneAligned case
+ *
+ * The same reasoning apply for the transposed case.
+ *
+ * The last case (PacketSize>4) could probably be improved by generalizing the FirstAligned case, but since we do not support AVX yet...
+ * One might also wonder why in the EvenAligned case we perform unaligned loads instead of using the aligned-loads plus re-alignment
+ * strategy as in the FirstAligned case. The reason is that we observed that unaligned loads on a 8 byte boundary are not too slow
+ * compared to unaligned loads on a 4 byte boundary.
+ *
+ */
+template<typename Index, typename LhsScalar, typename LhsMapper, bool ConjugateLhs, typename RhsScalar, typename RhsMapper, bool ConjugateRhs, int Version>
+struct general_matrix_vector_product<Index,LhsScalar,LhsMapper,ColMajor,ConjugateLhs,RhsScalar,RhsMapper,ConjugateRhs,Version>
+{
+  typedef typename ScalarBinaryOpTraits<LhsScalar, RhsScalar>::ReturnType ResScalar;
+
+enum {
+  Vectorizable = packet_traits<LhsScalar>::Vectorizable && packet_traits<RhsScalar>::Vectorizable
+              && int(packet_traits<LhsScalar>::size)==int(packet_traits<RhsScalar>::size),
+  LhsPacketSize = Vectorizable ? packet_traits<LhsScalar>::size : 1,
+  RhsPacketSize = Vectorizable ? packet_traits<RhsScalar>::size : 1,
+  ResPacketSize = Vectorizable ? packet_traits<ResScalar>::size : 1
+};
+
+typedef typename packet_traits<LhsScalar>::type  _LhsPacket;
+typedef typename packet_traits<RhsScalar>::type  _RhsPacket;
+typedef typename packet_traits<ResScalar>::type  _ResPacket;
+
+typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
+typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
+typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
+
+EIGEN_DONT_INLINE static void run(
+  Index rows, Index cols,
+  const LhsMapper& lhs,
+  const RhsMapper& rhs,
+        ResScalar* res, Index resIncr,
+  RhsScalar alpha);
+};
+
+template<typename Index, typename LhsScalar, typename LhsMapper, bool ConjugateLhs, typename RhsScalar, typename RhsMapper, bool ConjugateRhs, int Version>
+EIGEN_DONT_INLINE void general_matrix_vector_product<Index,LhsScalar,LhsMapper,ColMajor,ConjugateLhs,RhsScalar,RhsMapper,ConjugateRhs,Version>::run(
+  Index rows, Index cols,
+  const LhsMapper& lhs,
+  const RhsMapper& rhs,
+        ResScalar* res, Index resIncr,
+  RhsScalar alpha)
+{
+  EIGEN_UNUSED_VARIABLE(resIncr);
+  eigen_internal_assert(resIncr==1);
+  #ifdef _EIGEN_ACCUMULATE_PACKETS
+  #error _EIGEN_ACCUMULATE_PACKETS has already been defined
+  #endif
+  #define _EIGEN_ACCUMULATE_PACKETS(Alignment0,Alignment13,Alignment2) \
+    pstore(&res[j], \
+      padd(pload<ResPacket>(&res[j]), \
+        padd( \
+      padd(pcj.pmul(lhs0.template load<LhsPacket, Alignment0>(j),    ptmp0), \
+      pcj.pmul(lhs1.template load<LhsPacket, Alignment13>(j),   ptmp1)),   \
+      padd(pcj.pmul(lhs2.template load<LhsPacket, Alignment2>(j),    ptmp2), \
+      pcj.pmul(lhs3.template load<LhsPacket, Alignment13>(j),   ptmp3)) )))
+
+  typedef typename LhsMapper::VectorMapper LhsScalars;
+
+  conj_helper<LhsScalar,RhsScalar,ConjugateLhs,ConjugateRhs> cj;
+  conj_helper<LhsPacket,RhsPacket,ConjugateLhs,ConjugateRhs> pcj;
+  if(ConjugateRhs)
+    alpha = numext::conj(alpha);
+
+  enum { AllAligned = 0, EvenAligned, FirstAligned, NoneAligned };
+  const Index columnsAtOnce = 4;
+  const Index peels = 2;
+  const Index LhsPacketAlignedMask = LhsPacketSize-1;
+  const Index ResPacketAlignedMask = ResPacketSize-1;
+//  const Index PeelAlignedMask = ResPacketSize*peels-1;
+  const Index size = rows;
+
+  const Index lhsStride = lhs.stride();
+
+  // How many coeffs of the result do we have to skip to be aligned.
+  // Here we assume data are at least aligned on the base scalar type.
+  Index alignedStart = internal::first_default_aligned(res,size);
+  Index alignedSize = ResPacketSize>1 ? alignedStart + ((size-alignedStart) & ~ResPacketAlignedMask) : 0;
+  const Index peeledSize = alignedSize - RhsPacketSize*peels - RhsPacketSize + 1;
+
+  const Index alignmentStep = LhsPacketSize>1 ? (LhsPacketSize - lhsStride % LhsPacketSize) & LhsPacketAlignedMask : 0;
+  Index alignmentPattern = alignmentStep==0 ? AllAligned
+                       : alignmentStep==(LhsPacketSize/2) ? EvenAligned
+                       : FirstAligned;
+
+  // we cannot assume the first element is aligned because of sub-matrices
+  const Index lhsAlignmentOffset = lhs.firstAligned(size);
+
+  // find how many columns do we have to skip to be aligned with the result (if possible)
+  Index skipColumns = 0;
+  // if the data cannot be aligned (TODO add some compile time tests when possible, e.g. for floats)
+  if( (lhsAlignmentOffset < 0) || (lhsAlignmentOffset == size) || (UIntPtr(res)%sizeof(ResScalar)) )
+  {
+    alignedSize = 0;
+    alignedStart = 0;
+    alignmentPattern = NoneAligned;
+  }
+  else if(LhsPacketSize > 4)
+  {
+    // TODO: extend the code to support aligned loads whenever possible when LhsPacketSize > 4.
+    // Currently, it seems to be better to perform unaligned loads anyway
+    alignmentPattern = NoneAligned;
+  }
+  else if (LhsPacketSize>1)
+  {
+  //    eigen_internal_assert(size_t(firstLhs+lhsAlignmentOffset)%sizeof(LhsPacket)==0 || size<LhsPacketSize);
+
+    while (skipColumns<LhsPacketSize &&
+          alignedStart != ((lhsAlignmentOffset + alignmentStep*skipColumns)%LhsPacketSize))
+      ++skipColumns;
+    if (skipColumns==LhsPacketSize)
+    {
+      // nothing can be aligned, no need to skip any column
+      alignmentPattern = NoneAligned;
+      skipColumns = 0;
+    }
+    else
+    {
+      skipColumns = (std::min)(skipColumns,cols);
+      // note that the skiped columns are processed later.
+    }
+
+    /*    eigen_internal_assert(  (alignmentPattern==NoneAligned)
+                      || (skipColumns + columnsAtOnce >= cols)
+                      || LhsPacketSize > size
+                      || (size_t(firstLhs+alignedStart+lhsStride*skipColumns)%sizeof(LhsPacket))==0);*/
+  }
+  else if(Vectorizable)
+  {
+    alignedStart = 0;
+    alignedSize = size;
+    alignmentPattern = AllAligned;
+  }
+
+  const Index offset1 = (alignmentPattern==FirstAligned && alignmentStep==1)?3:1;
+  const Index offset3 = (alignmentPattern==FirstAligned && alignmentStep==1)?1:3;
+
+  Index columnBound = ((cols-skipColumns)/columnsAtOnce)*columnsAtOnce + skipColumns;
+  for (Index i=skipColumns; i<columnBound; i+=columnsAtOnce)
+  {
+    RhsPacket ptmp0 = pset1<RhsPacket>(alpha*rhs(i, 0)),
+              ptmp1 = pset1<RhsPacket>(alpha*rhs(i+offset1, 0)),
+              ptmp2 = pset1<RhsPacket>(alpha*rhs(i+2, 0)),
+              ptmp3 = pset1<RhsPacket>(alpha*rhs(i+offset3, 0));
+
+    // this helps a lot generating better binary code
+    const LhsScalars lhs0 = lhs.getVectorMapper(0, i+0),   lhs1 = lhs.getVectorMapper(0, i+offset1),
+                     lhs2 = lhs.getVectorMapper(0, i+2),   lhs3 = lhs.getVectorMapper(0, i+offset3);
+
+    if (Vectorizable)
+    {
+      /* explicit vectorization */
+      // process initial unaligned coeffs
+      for (Index j=0; j<alignedStart; ++j)
+      {
+        res[j] = cj.pmadd(lhs0(j), pfirst(ptmp0), res[j]);
+        res[j] = cj.pmadd(lhs1(j), pfirst(ptmp1), res[j]);
+        res[j] = cj.pmadd(lhs2(j), pfirst(ptmp2), res[j]);
+        res[j] = cj.pmadd(lhs3(j), pfirst(ptmp3), res[j]);
+      }
+
+      if (alignedSize>alignedStart)
+      {
+        switch(alignmentPattern)
+        {
+          case AllAligned:
+            for (Index j = alignedStart; j<alignedSize; j+=ResPacketSize)
+              _EIGEN_ACCUMULATE_PACKETS(Aligned,Aligned,Aligned);
+            break;
+          case EvenAligned:
+            for (Index j = alignedStart; j<alignedSize; j+=ResPacketSize)
+              _EIGEN_ACCUMULATE_PACKETS(Aligned,Unaligned,Aligned);
+            break;
+          case FirstAligned:
+          {
+            Index j = alignedStart;
+            if(peels>1)
+            {
+              LhsPacket A00, A01, A02, A03, A10, A11, A12, A13;
+              ResPacket T0, T1;
+
+              A01 = lhs1.template load<LhsPacket, Aligned>(alignedStart-1);
+              A02 = lhs2.template load<LhsPacket, Aligned>(alignedStart-2);
+              A03 = lhs3.template load<LhsPacket, Aligned>(alignedStart-3);
+
+              for (; j<peeledSize; j+=peels*ResPacketSize)
+              {
+                A11 = lhs1.template load<LhsPacket, Aligned>(j-1+LhsPacketSize);  palign<1>(A01,A11);
+                A12 = lhs2.template load<LhsPacket, Aligned>(j-2+LhsPacketSize);  palign<2>(A02,A12);
+                A13 = lhs3.template load<LhsPacket, Aligned>(j-3+LhsPacketSize);  palign<3>(A03,A13);
+
+                A00 = lhs0.template load<LhsPacket, Aligned>(j);
+                A10 = lhs0.template load<LhsPacket, Aligned>(j+LhsPacketSize);
+                T0  = pcj.pmadd(A00, ptmp0, pload<ResPacket>(&res[j]));
+                T1  = pcj.pmadd(A10, ptmp0, pload<ResPacket>(&res[j+ResPacketSize]));
+
+                T0  = pcj.pmadd(A01, ptmp1, T0);
+                A01 = lhs1.template load<LhsPacket, Aligned>(j-1+2*LhsPacketSize);  palign<1>(A11,A01);
+                T0  = pcj.pmadd(A02, ptmp2, T0);
+                A02 = lhs2.template load<LhsPacket, Aligned>(j-2+2*LhsPacketSize);  palign<2>(A12,A02);
+                T0  = pcj.pmadd(A03, ptmp3, T0);
+                pstore(&res[j],T0);
+                A03 = lhs3.template load<LhsPacket, Aligned>(j-3+2*LhsPacketSize);  palign<3>(A13,A03);
+                T1  = pcj.pmadd(A11, ptmp1, T1);
+                T1  = pcj.pmadd(A12, ptmp2, T1);
+                T1  = pcj.pmadd(A13, ptmp3, T1);
+                pstore(&res[j+ResPacketSize],T1);
+              }
+            }
+            for (; j<alignedSize; j+=ResPacketSize)
+              _EIGEN_ACCUMULATE_PACKETS(Aligned,Unaligned,Unaligned);
+            break;
+          }
+          default:
+            for (Index j = alignedStart; j<alignedSize; j+=ResPacketSize)
+              _EIGEN_ACCUMULATE_PACKETS(Unaligned,Unaligned,Unaligned);
+            break;
+        }
+      }
+    } // end explicit vectorization
+
+    /* process remaining coeffs (or all if there is no explicit vectorization) */
+    for (Index j=alignedSize; j<size; ++j)
+    {
+      res[j] = cj.pmadd(lhs0(j), pfirst(ptmp0), res[j]);
+      res[j] = cj.pmadd(lhs1(j), pfirst(ptmp1), res[j]);
+      res[j] = cj.pmadd(lhs2(j), pfirst(ptmp2), res[j]);
+      res[j] = cj.pmadd(lhs3(j), pfirst(ptmp3), res[j]);
+    }
+  }
+
+  // process remaining first and last columns (at most columnsAtOnce-1)
+  Index end = cols;
+  Index start = columnBound;
+  do
+  {
+    for (Index k=start; k<end; ++k)
+    {
+      RhsPacket ptmp0 = pset1<RhsPacket>(alpha*rhs(k, 0));
+      const LhsScalars lhs0 = lhs.getVectorMapper(0, k);
+
+      if (Vectorizable)
+      {
+        /* explicit vectorization */
+        // process first unaligned result's coeffs
+        for (Index j=0; j<alignedStart; ++j)
+          res[j] += cj.pmul(lhs0(j), pfirst(ptmp0));
+        // process aligned result's coeffs
+        if (lhs0.template aligned<LhsPacket>(alignedStart))
+          for (Index i = alignedStart;i<alignedSize;i+=ResPacketSize)
+            pstore(&res[i], pcj.pmadd(lhs0.template load<LhsPacket, Aligned>(i), ptmp0, pload<ResPacket>(&res[i])));
+        else
+          for (Index i = alignedStart;i<alignedSize;i+=ResPacketSize)
+            pstore(&res[i], pcj.pmadd(lhs0.template load<LhsPacket, Unaligned>(i), ptmp0, pload<ResPacket>(&res[i])));
+      }
+
+      // process remaining scalars (or all if no explicit vectorization)
+      for (Index i=alignedSize; i<size; ++i)
+        res[i] += cj.pmul(lhs0(i), pfirst(ptmp0));
+    }
+    if (skipColumns)
+    {
+      start = 0;
+      end = skipColumns;
+      skipColumns = 0;
+    }
+    else
+      break;
+  } while(Vectorizable);
+  #undef _EIGEN_ACCUMULATE_PACKETS
+}
+
+/* Optimized row-major matrix * vector product:
+ * This algorithm processes 4 rows at onces that allows to both reduce
+ * the number of load/stores of the result by a factor 4 and to reduce
+ * the instruction dependency. Moreover, we know that all bands have the
+ * same alignment pattern.
+ *
+ * Mixing type logic:
+ *  - alpha is always a complex (or converted to a complex)
+ *  - no vectorization
+ */
+template<typename Index, typename LhsScalar, typename LhsMapper, bool ConjugateLhs, typename RhsScalar, typename RhsMapper, bool ConjugateRhs, int Version>
+struct general_matrix_vector_product<Index,LhsScalar,LhsMapper,RowMajor,ConjugateLhs,RhsScalar,RhsMapper,ConjugateRhs,Version>
+{
+typedef typename ScalarBinaryOpTraits<LhsScalar, RhsScalar>::ReturnType ResScalar;
+
+enum {
+  Vectorizable = packet_traits<LhsScalar>::Vectorizable && packet_traits<RhsScalar>::Vectorizable
+              && int(packet_traits<LhsScalar>::size)==int(packet_traits<RhsScalar>::size),
+  LhsPacketSize = Vectorizable ? packet_traits<LhsScalar>::size : 1,
+  RhsPacketSize = Vectorizable ? packet_traits<RhsScalar>::size : 1,
+  ResPacketSize = Vectorizable ? packet_traits<ResScalar>::size : 1
+};
+
+typedef typename packet_traits<LhsScalar>::type  _LhsPacket;
+typedef typename packet_traits<RhsScalar>::type  _RhsPacket;
+typedef typename packet_traits<ResScalar>::type  _ResPacket;
+
+typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
+typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
+typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
+
+EIGEN_DONT_INLINE static void run(
+  Index rows, Index cols,
+  const LhsMapper& lhs,
+  const RhsMapper& rhs,
+        ResScalar* res, Index resIncr,
+  ResScalar alpha);
+};
+
+template<typename Index, typename LhsScalar, typename LhsMapper, bool ConjugateLhs, typename RhsScalar, typename RhsMapper, bool ConjugateRhs, int Version>
+EIGEN_DONT_INLINE void general_matrix_vector_product<Index,LhsScalar,LhsMapper,RowMajor,ConjugateLhs,RhsScalar,RhsMapper,ConjugateRhs,Version>::run(
+  Index rows, Index cols,
+  const LhsMapper& lhs,
+  const RhsMapper& rhs,
+  ResScalar* res, Index resIncr,
+  ResScalar alpha)
+{
+  eigen_internal_assert(rhs.stride()==1);
+
+  #ifdef _EIGEN_ACCUMULATE_PACKETS
+  #error _EIGEN_ACCUMULATE_PACKETS has already been defined
+  #endif
+
+  #define _EIGEN_ACCUMULATE_PACKETS(Alignment0,Alignment13,Alignment2) {\
+    RhsPacket b = rhs.getVectorMapper(j, 0).template load<RhsPacket, Aligned>(0);  \
+    ptmp0 = pcj.pmadd(lhs0.template load<LhsPacket, Alignment0>(j), b, ptmp0); \
+    ptmp1 = pcj.pmadd(lhs1.template load<LhsPacket, Alignment13>(j), b, ptmp1); \
+    ptmp2 = pcj.pmadd(lhs2.template load<LhsPacket, Alignment2>(j), b, ptmp2); \
+    ptmp3 = pcj.pmadd(lhs3.template load<LhsPacket, Alignment13>(j), b, ptmp3); }
+
+  conj_helper<LhsScalar,RhsScalar,ConjugateLhs,ConjugateRhs> cj;
+  conj_helper<LhsPacket,RhsPacket,ConjugateLhs,ConjugateRhs> pcj;
+
+  typedef typename LhsMapper::VectorMapper LhsScalars;
+
+  enum { AllAligned=0, EvenAligned=1, FirstAligned=2, NoneAligned=3 };
+  const Index rowsAtOnce = 4;
+  const Index peels = 2;
+  const Index RhsPacketAlignedMask = RhsPacketSize-1;
+  const Index LhsPacketAlignedMask = LhsPacketSize-1;
+  const Index depth = cols;
+  const Index lhsStride = lhs.stride();
+
+  // How many coeffs of the result do we have to skip to be aligned.
+  // Here we assume data are at least aligned on the base scalar type
+  // if that's not the case then vectorization is discarded, see below.
+  Index alignedStart = rhs.firstAligned(depth);
+  Index alignedSize = RhsPacketSize>1 ? alignedStart + ((depth-alignedStart) & ~RhsPacketAlignedMask) : 0;
+  const Index peeledSize = alignedSize - RhsPacketSize*peels - RhsPacketSize + 1;
+
+  const Index alignmentStep = LhsPacketSize>1 ? (LhsPacketSize - lhsStride % LhsPacketSize) & LhsPacketAlignedMask : 0;
+  Index alignmentPattern = alignmentStep==0 ? AllAligned
+                           : alignmentStep==(LhsPacketSize/2) ? EvenAligned
+                           : FirstAligned;
+
+  // we cannot assume the first element is aligned because of sub-matrices
+  const Index lhsAlignmentOffset = lhs.firstAligned(depth);
+  const Index rhsAlignmentOffset = rhs.firstAligned(rows);
+
+  // find how many rows do we have to skip to be aligned with rhs (if possible)
+  Index skipRows = 0;
+  // if the data cannot be aligned (TODO add some compile time tests when possible, e.g. for floats)
+  if( (sizeof(LhsScalar)!=sizeof(RhsScalar)) ||
+      (lhsAlignmentOffset < 0) || (lhsAlignmentOffset == depth) ||
+      (rhsAlignmentOffset < 0) || (rhsAlignmentOffset == rows) )
+  {
+    alignedSize = 0;
+    alignedStart = 0;
+    alignmentPattern = NoneAligned;
+  }
+  else if(LhsPacketSize > 4)
+  {
+    // TODO: extend the code to support aligned loads whenever possible when LhsPacketSize > 4.
+    alignmentPattern = NoneAligned;
+  }
+  else if (LhsPacketSize>1)
+  {
+  //    eigen_internal_assert(size_t(firstLhs+lhsAlignmentOffset)%sizeof(LhsPacket)==0  || depth<LhsPacketSize);
+
+    while (skipRows<LhsPacketSize &&
+           alignedStart != ((lhsAlignmentOffset + alignmentStep*skipRows)%LhsPacketSize))
+      ++skipRows;
+    if (skipRows==LhsPacketSize)
+    {
+      // nothing can be aligned, no need to skip any column
+      alignmentPattern = NoneAligned;
+      skipRows = 0;
+    }
+    else
+    {
+      skipRows = (std::min)(skipRows,Index(rows));
+      // note that the skiped columns are processed later.
+    }
+    /*    eigen_internal_assert(  alignmentPattern==NoneAligned
+                      || LhsPacketSize==1
+                      || (skipRows + rowsAtOnce >= rows)
+                      || LhsPacketSize > depth
+                      || (size_t(firstLhs+alignedStart+lhsStride*skipRows)%sizeof(LhsPacket))==0);*/
+  }
+  else if(Vectorizable)
+  {
+    alignedStart = 0;
+    alignedSize = depth;
+    alignmentPattern = AllAligned;
+  }
+
+  const Index offset1 = (alignmentPattern==FirstAligned && alignmentStep==1)?3:1;
+  const Index offset3 = (alignmentPattern==FirstAligned && alignmentStep==1)?1:3;
+
+  Index rowBound = ((rows-skipRows)/rowsAtOnce)*rowsAtOnce + skipRows;
+  for (Index i=skipRows; i<rowBound; i+=rowsAtOnce)
+  {
+    // FIXME: what is the purpose of this EIGEN_ALIGN_DEFAULT ??
+    EIGEN_ALIGN_MAX ResScalar tmp0 = ResScalar(0);
+    ResScalar tmp1 = ResScalar(0), tmp2 = ResScalar(0), tmp3 = ResScalar(0);
+
+    // this helps the compiler generating good binary code
+    const LhsScalars lhs0 = lhs.getVectorMapper(i+0, 0),    lhs1 = lhs.getVectorMapper(i+offset1, 0),
+                     lhs2 = lhs.getVectorMapper(i+2, 0),    lhs3 = lhs.getVectorMapper(i+offset3, 0);
+
+    if (Vectorizable)
+    {
+      /* explicit vectorization */
+      ResPacket ptmp0 = pset1<ResPacket>(ResScalar(0)), ptmp1 = pset1<ResPacket>(ResScalar(0)),
+                ptmp2 = pset1<ResPacket>(ResScalar(0)), ptmp3 = pset1<ResPacket>(ResScalar(0));
+
+      // process initial unaligned coeffs
+      // FIXME this loop get vectorized by the compiler !
+      for (Index j=0; j<alignedStart; ++j)
+      {
+        RhsScalar b = rhs(j, 0);
+        tmp0 += cj.pmul(lhs0(j),b); tmp1 += cj.pmul(lhs1(j),b);
+        tmp2 += cj.pmul(lhs2(j),b); tmp3 += cj.pmul(lhs3(j),b);
+      }
+
+      if (alignedSize>alignedStart)
+      {
+        switch(alignmentPattern)
+        {
+          case AllAligned:
+            for (Index j = alignedStart; j<alignedSize; j+=RhsPacketSize)
+              _EIGEN_ACCUMULATE_PACKETS(Aligned,Aligned,Aligned);
+            break;
+          case EvenAligned:
+            for (Index j = alignedStart; j<alignedSize; j+=RhsPacketSize)
+              _EIGEN_ACCUMULATE_PACKETS(Aligned,Unaligned,Aligned);
+            break;
+          case FirstAligned:
+          {
+            Index j = alignedStart;
+            if (peels>1)
+            {
+              /* Here we proccess 4 rows with with two peeled iterations to hide
+               * the overhead of unaligned loads. Moreover unaligned loads are handled
+               * using special shift/move operations between the two aligned packets
+               * overlaping the desired unaligned packet. This is *much* more efficient
+               * than basic unaligned loads.
+               */
+              LhsPacket A01, A02, A03, A11, A12, A13;
+              A01 = lhs1.template load<LhsPacket, Aligned>(alignedStart-1);
+              A02 = lhs2.template load<LhsPacket, Aligned>(alignedStart-2);
+              A03 = lhs3.template load<LhsPacket, Aligned>(alignedStart-3);
+
+              for (; j<peeledSize; j+=peels*RhsPacketSize)
+              {
+                RhsPacket b = rhs.getVectorMapper(j, 0).template load<RhsPacket, Aligned>(0);
+                A11 = lhs1.template load<LhsPacket, Aligned>(j-1+LhsPacketSize);  palign<1>(A01,A11);
+                A12 = lhs2.template load<LhsPacket, Aligned>(j-2+LhsPacketSize);  palign<2>(A02,A12);
+                A13 = lhs3.template load<LhsPacket, Aligned>(j-3+LhsPacketSize);  palign<3>(A03,A13);
+
+                ptmp0 = pcj.pmadd(lhs0.template load<LhsPacket, Aligned>(j), b, ptmp0);
+                ptmp1 = pcj.pmadd(A01, b, ptmp1);
+                A01 = lhs1.template load<LhsPacket, Aligned>(j-1+2*LhsPacketSize);  palign<1>(A11,A01);
+                ptmp2 = pcj.pmadd(A02, b, ptmp2);
+                A02 = lhs2.template load<LhsPacket, Aligned>(j-2+2*LhsPacketSize);  palign<2>(A12,A02);
+                ptmp3 = pcj.pmadd(A03, b, ptmp3);
+                A03 = lhs3.template load<LhsPacket, Aligned>(j-3+2*LhsPacketSize);  palign<3>(A13,A03);
+
+                b = rhs.getVectorMapper(j+RhsPacketSize, 0).template load<RhsPacket, Aligned>(0);
+                ptmp0 = pcj.pmadd(lhs0.template load<LhsPacket, Aligned>(j+LhsPacketSize), b, ptmp0);
+                ptmp1 = pcj.pmadd(A11, b, ptmp1);
+                ptmp2 = pcj.pmadd(A12, b, ptmp2);
+                ptmp3 = pcj.pmadd(A13, b, ptmp3);
+              }
+            }
+            for (; j<alignedSize; j+=RhsPacketSize)
+              _EIGEN_ACCUMULATE_PACKETS(Aligned,Unaligned,Unaligned);
+            break;
+          }
+          default:
+            for (Index j = alignedStart; j<alignedSize; j+=RhsPacketSize)
+              _EIGEN_ACCUMULATE_PACKETS(Unaligned,Unaligned,Unaligned);
+            break;
+        }
+        tmp0 += predux(ptmp0);
+        tmp1 += predux(ptmp1);
+        tmp2 += predux(ptmp2);
+        tmp3 += predux(ptmp3);
+      }
+    } // end explicit vectorization
+
+    // process remaining coeffs (or all if no explicit vectorization)
+    // FIXME this loop get vectorized by the compiler !
+    for (Index j=alignedSize; j<depth; ++j)
+    {
+      RhsScalar b = rhs(j, 0);
+      tmp0 += cj.pmul(lhs0(j),b); tmp1 += cj.pmul(lhs1(j),b);
+      tmp2 += cj.pmul(lhs2(j),b); tmp3 += cj.pmul(lhs3(j),b);
+    }
+    res[i*resIncr]            += alpha*tmp0;
+    res[(i+offset1)*resIncr]  += alpha*tmp1;
+    res[(i+2)*resIncr]        += alpha*tmp2;
+    res[(i+offset3)*resIncr]  += alpha*tmp3;
+  }
+
+  // process remaining first and last rows (at most columnsAtOnce-1)
+  Index end = rows;
+  Index start = rowBound;
+  do
+  {
+    for (Index i=start; i<end; ++i)
+    {
+      EIGEN_ALIGN_MAX ResScalar tmp0 = ResScalar(0);
+      ResPacket ptmp0 = pset1<ResPacket>(tmp0);
+      const LhsScalars lhs0 = lhs.getVectorMapper(i, 0);
+      // process first unaligned result's coeffs
+      // FIXME this loop get vectorized by the compiler !
+      for (Index j=0; j<alignedStart; ++j)
+        tmp0 += cj.pmul(lhs0(j), rhs(j, 0));
+
+      if (alignedSize>alignedStart)
+      {
+        // process aligned rhs coeffs
+        if (lhs0.template aligned<LhsPacket>(alignedStart))
+          for (Index j = alignedStart;j<alignedSize;j+=RhsPacketSize)
+            ptmp0 = pcj.pmadd(lhs0.template load<LhsPacket, Aligned>(j), rhs.getVectorMapper(j, 0).template load<RhsPacket, Aligned>(0), ptmp0);
+        else
+          for (Index j = alignedStart;j<alignedSize;j+=RhsPacketSize)
+            ptmp0 = pcj.pmadd(lhs0.template load<LhsPacket, Unaligned>(j), rhs.getVectorMapper(j, 0).template load<RhsPacket, Aligned>(0), ptmp0);
+        tmp0 += predux(ptmp0);
+      }
+
+      // process remaining scalars
+      // FIXME this loop get vectorized by the compiler !
+      for (Index j=alignedSize; j<depth; ++j)
+        tmp0 += cj.pmul(lhs0(j), rhs(j, 0));
+      res[i*resIncr] += alpha*tmp0;
+    }
+    if (skipRows)
+    {
+      start = 0;
+      end = skipRows;
+      skipRows = 0;
+    }
+    else
+      break;
+  } while(Vectorizable);
+
+  #undef _EIGEN_ACCUMULATE_PACKETS
+}
+
+} // end namespace internal
+
+} // end namespace Eigen
+
+#endif // EIGEN_GENERAL_MATRIX_VECTOR_H
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector_BLAS.h
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector_BLAS.h	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector_BLAS.h	(revision 3761)
@@ -0,0 +1,136 @@
+/*
+ Copyright (c) 2011, Intel Corporation. All rights reserved.
+
+ Redistribution and use in source and binary forms, with or without modification,
+ are permitted provided that the following conditions are met:
+
+ * Redistributions of source code must retain the above copyright notice, this
+   list of conditions and the following disclaimer.
+ * Redistributions in binary form must reproduce the above copyright notice,
+   this list of conditions and the following disclaimer in the documentation
+   and/or other materials provided with the distribution.
+ * Neither the name of Intel Corporation nor the names of its contributors may
+   be used to endorse or promote products derived from this software without
+   specific prior written permission.
+
+ THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND
+ ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED
+ WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
+ DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE LIABLE FOR
+ ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES
+ (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES;
+ LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON
+ ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
+ (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS
+ SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
+
+ ********************************************************************************
+ *   Content : Eigen bindings to BLAS F77
+ *   General matrix-vector product functionality based on ?GEMV.
+ ********************************************************************************
+*/
+
+#ifndef EIGEN_GENERAL_MATRIX_VECTOR_BLAS_H
+#define EIGEN_GENERAL_MATRIX_VECTOR_BLAS_H
+
+namespace Eigen { 
+
+namespace internal {
+
+/**********************************************************************
+* This file implements general matrix-vector multiplication using BLAS
+* gemv function via partial specialization of
+* general_matrix_vector_product::run(..) method for float, double,
+* std::complex<float> and std::complex<double> types
+**********************************************************************/
+
+// gemv specialization
+
+template<typename Index, typename LhsScalar, int StorageOrder, bool ConjugateLhs, typename RhsScalar, bool ConjugateRhs>
+struct general_matrix_vector_product_gemv;
+
+#define EIGEN_BLAS_GEMV_SPECIALIZE(Scalar) \
+template<typename Index, bool ConjugateLhs, bool ConjugateRhs> \
+struct general_matrix_vector_product<Index,Scalar,const_blas_data_mapper<Scalar,Index,ColMajor>,ColMajor,ConjugateLhs,Scalar,const_blas_data_mapper<Scalar,Index,RowMajor>,ConjugateRhs,Specialized> { \
+static void run( \
+  Index rows, Index cols, \
+  const const_blas_data_mapper<Scalar,Index,ColMajor> &lhs, \
+  const const_blas_data_mapper<Scalar,Index,RowMajor> &rhs, \
+  Scalar* res, Index resIncr, Scalar alpha) \
+{ \
+  if (ConjugateLhs) { \
+    general_matrix_vector_product<Index,Scalar,const_blas_data_mapper<Scalar,Index,ColMajor>,ColMajor,ConjugateLhs,Scalar,const_blas_data_mapper<Scalar,Index,RowMajor>,ConjugateRhs,BuiltIn>::run( \
+      rows, cols, lhs, rhs, res, resIncr, alpha); \
+  } else { \
+    general_matrix_vector_product_gemv<Index,Scalar,ColMajor,ConjugateLhs,Scalar,ConjugateRhs>::run( \
+      rows, cols, lhs.data(), lhs.stride(), rhs.data(), rhs.stride(), res, resIncr, alpha); \
+  } \
+} \
+}; \
+template<typename Index, bool ConjugateLhs, bool ConjugateRhs> \
+struct general_matrix_vector_product<Index,Scalar,const_blas_data_mapper<Scalar,Index,RowMajor>,RowMajor,ConjugateLhs,Scalar,const_blas_data_mapper<Scalar,Index,ColMajor>,ConjugateRhs,Specialized> { \
+static void run( \
+  Index rows, Index cols, \
+  const const_blas_data_mapper<Scalar,Index,RowMajor> &lhs, \
+  const const_blas_data_mapper<Scalar,Index,ColMajor> &rhs, \
+  Scalar* res, Index resIncr, Scalar alpha) \
+{ \
+    general_matrix_vector_product_gemv<Index,Scalar,RowMajor,ConjugateLhs,Scalar,ConjugateRhs>::run( \
+      rows, cols, lhs.data(), lhs.stride(), rhs.data(), rhs.stride(), res, resIncr, alpha); \
+} \
+}; \
+
+EIGEN_BLAS_GEMV_SPECIALIZE(double)
+EIGEN_BLAS_GEMV_SPECIALIZE(float)
+EIGEN_BLAS_GEMV_SPECIALIZE(dcomplex)
+EIGEN_BLAS_GEMV_SPECIALIZE(scomplex)
+
+#define EIGEN_BLAS_GEMV_SPECIALIZATION(EIGTYPE,BLASTYPE,BLASFUNC) \
+template<typename Index, int LhsStorageOrder, bool ConjugateLhs, bool ConjugateRhs> \
+struct general_matrix_vector_product_gemv<Index,EIGTYPE,LhsStorageOrder,ConjugateLhs,EIGTYPE,ConjugateRhs> \
+{ \
+typedef Matrix<EIGTYPE,Dynamic,1,ColMajor> GEMVVector;\
+\
+static void run( \
+  Index rows, Index cols, \
+  const EIGTYPE* lhs, Index lhsStride, \
+  const EIGTYPE* rhs, Index rhsIncr, \
+  EIGTYPE* res, Index resIncr, EIGTYPE alpha) \
+{ \
+  BlasIndex m=convert_index<BlasIndex>(rows), n=convert_index<BlasIndex>(cols), \
+            lda=convert_index<BlasIndex>(lhsStride), incx=convert_index<BlasIndex>(rhsIncr), incy=convert_index<BlasIndex>(resIncr); \
+  const EIGTYPE beta(1); \
+  const EIGTYPE *x_ptr; \
+  char trans=(LhsStorageOrder==ColMajor) ? 'N' : (ConjugateLhs) ? 'C' : 'T'; \
+  if (LhsStorageOrder==RowMajor) { \
+    m = convert_index<BlasIndex>(cols); \
+    n = convert_index<BlasIndex>(rows); \
+  }\
+  GEMVVector x_tmp; \
+  if (ConjugateRhs) { \
+    Map<const GEMVVector, 0, InnerStride<> > map_x(rhs,cols,1,InnerStride<>(incx)); \
+    x_tmp=map_x.conjugate(); \
+    x_ptr=x_tmp.data(); \
+    incx=1; \
+  } else x_ptr=rhs; \
+  BLASFUNC(&trans, &m, &n, (const BLASTYPE*)&numext::real_ref(alpha), (const BLASTYPE*)lhs, &lda, (const BLASTYPE*)x_ptr, &incx, (const BLASTYPE*)&numext::real_ref(beta), (BLASTYPE*)res, &incy); \
+}\
+};
+
+#ifdef EIGEN_USE_MKL
+EIGEN_BLAS_GEMV_SPECIALIZATION(double,   double, dgemv)
+EIGEN_BLAS_GEMV_SPECIALIZATION(float,    float,  sgemv)
+EIGEN_BLAS_GEMV_SPECIALIZATION(dcomplex, MKL_Complex16, zgemv)
+EIGEN_BLAS_GEMV_SPECIALIZATION(scomplex, MKL_Complex8 , cgemv)
+#else
+EIGEN_BLAS_GEMV_SPECIALIZATION(double,   double, dgemv_)
+EIGEN_BLAS_GEMV_SPECIALIZATION(float,    float,  sgemv_)
+EIGEN_BLAS_GEMV_SPECIALIZATION(dcomplex, double, zgemv_)
+EIGEN_BLAS_GEMV_SPECIALIZATION(scomplex, float,  cgemv_)
+#endif
+
+} // end namespase internal
+
+} // end namespace Eigen
+
+#endif // EIGEN_GENERAL_MATRIX_VECTOR_BLAS_H
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/products/Parallelizer.h
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/products/Parallelizer.h	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/products/Parallelizer.h	(revision 3761)
@@ -0,0 +1,166 @@
+// This file is part of Eigen, a lightweight C++ template library
+// for linear algebra.
+//
+// Copyright (C) 2010 Gael Guennebaud <gael.guennebaud@inria.fr>
+//
+// This Source Code Form is subject to the terms of the Mozilla
+// Public License v. 2.0. If a copy of the MPL was not distributed
+// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
+
+#ifndef EIGEN_PARALLELIZER_H
+#define EIGEN_PARALLELIZER_H
+
+namespace Eigen {
+
+namespace internal {
+
+/** \internal */
+inline void manage_multi_threading(Action action, int* v)
+{
+  static int m_maxThreads = -1;
+  EIGEN_UNUSED_VARIABLE(m_maxThreads);
+
+  if(action==SetAction)
+  {
+    eigen_internal_assert(v!=0);
+    m_maxThreads = *v;
+  }
+  else if(action==GetAction)
+  {
+    eigen_internal_assert(v!=0);
+    #ifdef EIGEN_HAS_OPENMP
+    if(m_maxThreads>0)
+      *v = m_maxThreads;
+    else
+      *v = omp_get_max_threads();
+    #else
+    *v = 1;
+    #endif
+  }
+  else
+  {
+    eigen_internal_assert(false);
+  }
+}
+
+}
+
+/** Must be call first when calling Eigen from multiple threads */
+inline void initParallel()
+{
+  int nbt;
+  internal::manage_multi_threading(GetAction, &nbt);
+  std::ptrdiff_t l1, l2, l3;
+  internal::manage_caching_sizes(GetAction, &l1, &l2, &l3);
+}
+
+/** \returns the max number of threads reserved for Eigen
+  * \sa setNbThreads */
+inline int nbThreads()
+{
+  int ret;
+  internal::manage_multi_threading(GetAction, &ret);
+  return ret;
+}
+
+/** Sets the max number of threads reserved for Eigen
+  * \sa nbThreads */
+inline void setNbThreads(int v)
+{
+  internal::manage_multi_threading(SetAction, &v);
+}
+
+namespace internal {
+
+template<typename Index> struct GemmParallelInfo
+{
+  GemmParallelInfo() : sync(-1), users(0), lhs_start(0), lhs_length(0) {}
+
+  Index volatile sync;
+  int volatile users;
+
+  Index lhs_start;
+  Index lhs_length;
+};
+
+template<bool Condition, typename Functor, typename Index>
+void parallelize_gemm(const Functor& func, Index rows, Index cols, Index depth, bool transpose)
+{
+  // TODO when EIGEN_USE_BLAS is defined,
+  // we should still enable OMP for other scalar types
+#if !(defined (EIGEN_HAS_OPENMP)) || defined (EIGEN_USE_BLAS)
+  // FIXME the transpose variable is only needed to properly split
+  // the matrix product when multithreading is enabled. This is a temporary
+  // fix to support row-major destination matrices. This whole
+  // parallelizer mechanism has to be redisigned anyway.
+  EIGEN_UNUSED_VARIABLE(depth);
+  EIGEN_UNUSED_VARIABLE(transpose);
+  func(0,rows, 0,cols);
+#else
+
+  // Dynamically check whether we should enable or disable OpenMP.
+  // The conditions are:
+  // - the max number of threads we can create is greater than 1
+  // - we are not already in a parallel code
+  // - the sizes are large enough
+
+  // compute the maximal number of threads from the size of the product:
+  // This first heuristic takes into account that the product kernel is fully optimized when working with nr columns at once.
+  Index size = transpose ? rows : cols;
+  Index pb_max_threads = std::max<Index>(1,size / Functor::Traits::nr);
+
+  // compute the maximal number of threads from the total amount of work:
+  double work = static_cast<double>(rows) * static_cast<double>(cols) *
+      static_cast<double>(depth);
+  double kMinTaskSize = 50000;  // FIXME improve this heuristic.
+  pb_max_threads = std::max<Index>(1, std::min<Index>(pb_max_threads, work / kMinTaskSize));
+
+  // compute the number of threads we are going to use
+  Index threads = std::min<Index>(nbThreads(), pb_max_threads);
+
+  // if multi-threading is explicitely disabled, not useful, or if we already are in a parallel session,
+  // then abort multi-threading
+  // FIXME omp_get_num_threads()>1 only works for openmp, what if the user does not use openmp?
+  if((!Condition) || (threads==1) || (omp_get_num_threads()>1))
+    return func(0,rows, 0,cols);
+
+  Eigen::initParallel();
+  func.initParallelSession(threads);
+
+  if(transpose)
+    std::swap(rows,cols);
+
+  ei_declare_aligned_stack_constructed_variable(GemmParallelInfo<Index>,info,threads,0);
+
+  #pragma omp parallel num_threads(threads)
+  {
+    Index i = omp_get_thread_num();
+    // Note that the actual number of threads might be lower than the number of request ones.
+    Index actual_threads = omp_get_num_threads();
+
+    Index blockCols = (cols / actual_threads) & ~Index(0x3);
+    Index blockRows = (rows / actual_threads);
+    blockRows = (blockRows/Functor::Traits::mr)*Functor::Traits::mr;
+
+    Index r0 = i*blockRows;
+    Index actualBlockRows = (i+1==actual_threads) ? rows-r0 : blockRows;
+
+    Index c0 = i*blockCols;
+    Index actualBlockCols = (i+1==actual_threads) ? cols-c0 : blockCols;
+
+    info[i].lhs_start = r0;
+    info[i].lhs_length = actualBlockRows;
+
+    if(transpose)
+      func(c0, actualBlockCols, 0, rows, info);
+    else
+      func(0, rows, c0, actualBlockCols, info);
+  }
+#endif
+}
+
+} // end namespace internal
+
+} // end namespace Eigen
+
+#endif // EIGEN_PARALLELIZER_H
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h	(revision 3761)
@@ -0,0 +1,145 @@
+// This file is part of Eigen, a lightweight C++ template library
+// for linear algebra.
+//
+// Copyright (C) 2008-2010 Gael Guennebaud <gael.guennebaud@inria.fr>
+//
+// This Source Code Form is subject to the terms of the Mozilla
+// Public License v. 2.0. If a copy of the MPL was not distributed
+// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
+
+#ifndef EIGEN_TRIANGULAR_SOLVER_VECTOR_H
+#define EIGEN_TRIANGULAR_SOLVER_VECTOR_H
+
+namespace Eigen {
+
+namespace internal {
+
+template<typename LhsScalar, typename RhsScalar, typename Index, int Mode, bool Conjugate, int StorageOrder>
+struct triangular_solve_vector<LhsScalar, RhsScalar, Index, OnTheRight, Mode, Conjugate, StorageOrder>
+{
+  static void run(Index size, const LhsScalar* _lhs, Index lhsStride, RhsScalar* rhs)
+  {
+    triangular_solve_vector<LhsScalar,RhsScalar,Index,OnTheLeft,
+        ((Mode&Upper)==Upper ? Lower : Upper) | (Mode&UnitDiag),
+        Conjugate,StorageOrder==RowMajor?ColMajor:RowMajor
+      >::run(size, _lhs, lhsStride, rhs);
+  }
+};
+
+// forward and backward substitution, row-major, rhs is a vector
+template<typename LhsScalar, typename RhsScalar, typename Index, int Mode, bool Conjugate>
+struct triangular_solve_vector<LhsScalar, RhsScalar, Index, OnTheLeft, Mode, Conjugate, RowMajor>
+{
+  enum {
+    IsLower = ((Mode&Lower)==Lower)
+  };
+  static void run(Index size, const LhsScalar* _lhs, Index lhsStride, RhsScalar* rhs)
+  {
+    typedef Map<const Matrix<LhsScalar,Dynamic,Dynamic,RowMajor>, 0, OuterStride<> > LhsMap;
+    const LhsMap lhs(_lhs,size,size,OuterStride<>(lhsStride));
+
+    typedef const_blas_data_mapper<LhsScalar,Index,RowMajor> LhsMapper;
+    typedef const_blas_data_mapper<RhsScalar,Index,ColMajor> RhsMapper;
+
+    typename internal::conditional<
+                          Conjugate,
+                          const CwiseUnaryOp<typename internal::scalar_conjugate_op<LhsScalar>,LhsMap>,
+                          const LhsMap&>
+                        ::type cjLhs(lhs);
+    static const Index PanelWidth = EIGEN_TUNE_TRIANGULAR_PANEL_WIDTH;
+    for(Index pi=IsLower ? 0 : size;
+        IsLower ? pi<size : pi>0;
+        IsLower ? pi+=PanelWidth : pi-=PanelWidth)
+    {
+      Index actualPanelWidth = (std::min)(IsLower ? size - pi : pi, PanelWidth);
+
+      Index r = IsLower ? pi : size - pi; // remaining size
+      if (r > 0)
+      {
+        // let's directly call the low level product function because:
+        // 1 - it is faster to compile
+        // 2 - it is slighlty faster at runtime
+        Index startRow = IsLower ? pi : pi-actualPanelWidth;
+        Index startCol = IsLower ? 0 : pi;
+
+        general_matrix_vector_product<Index,LhsScalar,LhsMapper,RowMajor,Conjugate,RhsScalar,RhsMapper,false>::run(
+          actualPanelWidth, r,
+          LhsMapper(&lhs.coeffRef(startRow,startCol), lhsStride),
+          RhsMapper(rhs + startCol, 1),
+          rhs + startRow, 1,
+          RhsScalar(-1));
+      }
+
+      for(Index k=0; k<actualPanelWidth; ++k)
+      {
+        Index i = IsLower ? pi+k : pi-k-1;
+        Index s = IsLower ? pi   : i+1;
+        if (k>0)
+          rhs[i] -= (cjLhs.row(i).segment(s,k).transpose().cwiseProduct(Map<const Matrix<RhsScalar,Dynamic,1> >(rhs+s,k))).sum();
+
+        if(!(Mode & UnitDiag))
+          rhs[i] /= cjLhs(i,i);
+      }
+    }
+  }
+};
+
+// forward and backward substitution, column-major, rhs is a vector
+template<typename LhsScalar, typename RhsScalar, typename Index, int Mode, bool Conjugate>
+struct triangular_solve_vector<LhsScalar, RhsScalar, Index, OnTheLeft, Mode, Conjugate, ColMajor>
+{
+  enum {
+    IsLower = ((Mode&Lower)==Lower)
+  };
+  static void run(Index size, const LhsScalar* _lhs, Index lhsStride, RhsScalar* rhs)
+  {
+    typedef Map<const Matrix<LhsScalar,Dynamic,Dynamic,ColMajor>, 0, OuterStride<> > LhsMap;
+    const LhsMap lhs(_lhs,size,size,OuterStride<>(lhsStride));
+    typedef const_blas_data_mapper<LhsScalar,Index,ColMajor> LhsMapper;
+    typedef const_blas_data_mapper<RhsScalar,Index,ColMajor> RhsMapper;
+    typename internal::conditional<Conjugate,
+                                   const CwiseUnaryOp<typename internal::scalar_conjugate_op<LhsScalar>,LhsMap>,
+                                   const LhsMap&
+                                  >::type cjLhs(lhs);
+    static const Index PanelWidth = EIGEN_TUNE_TRIANGULAR_PANEL_WIDTH;
+
+    for(Index pi=IsLower ? 0 : size;
+        IsLower ? pi<size : pi>0;
+        IsLower ? pi+=PanelWidth : pi-=PanelWidth)
+    {
+      Index actualPanelWidth = (std::min)(IsLower ? size - pi : pi, PanelWidth);
+      Index startBlock = IsLower ? pi : pi-actualPanelWidth;
+      Index endBlock = IsLower ? pi + actualPanelWidth : 0;
+
+      for(Index k=0; k<actualPanelWidth; ++k)
+      {
+        Index i = IsLower ? pi+k : pi-k-1;
+        if(!(Mode & UnitDiag))
+          rhs[i] /= cjLhs.coeff(i,i);
+
+        Index r = actualPanelWidth - k - 1; // remaining size
+        Index s = IsLower ? i+1 : i-r;
+        if (r>0)
+          Map<Matrix<RhsScalar,Dynamic,1> >(rhs+s,r) -= rhs[i] * cjLhs.col(i).segment(s,r);
+      }
+      Index r = IsLower ? size - endBlock : startBlock; // remaining size
+      if (r > 0)
+      {
+        // let's directly call the low level product function because:
+        // 1 - it is faster to compile
+        // 2 - it is slighlty faster at runtime
+        general_matrix_vector_product<Index,LhsScalar,LhsMapper,ColMajor,Conjugate,RhsScalar,RhsMapper,false>::run(
+            r, actualPanelWidth,
+            LhsMapper(&lhs.coeffRef(endBlock,startBlock), lhsStride),
+            RhsMapper(rhs+startBlock, 1),
+            rhs+endBlock, 1, RhsScalar(-1));
+      }
+    }
+  }
+};
+
+} // end namespace internal
+
+} // end namespace Eigen
+
+#endif // EIGEN_TRIANGULAR_SOLVER_VECTOR_H
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h	(revision 3761)
@@ -0,0 +1,495 @@
+// This file is part of Eigen, a lightweight C++ template library
+// for linear algebra.
+//
+// Copyright (C) 2008-2009 Gael Guennebaud <gael.guennebaud@inria.fr>
+//
+// This Source Code Form is subject to the terms of the Mozilla
+// Public License v. 2.0. If a copy of the MPL was not distributed
+// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
+
+#ifndef EIGEN_GENERAL_MATRIX_MATRIX_H
+#define EIGEN_GENERAL_MATRIX_MATRIX_H
+
+namespace Eigen {
+
+namespace internal {
+
+template<typename _LhsScalar, typename _RhsScalar> class level3_blocking;
+
+/* Specialization for a row-major destination matrix => simple transposition of the product */
+template<
+  typename Index,
+  typename LhsScalar, int LhsStorageOrder, bool ConjugateLhs,
+  typename RhsScalar, int RhsStorageOrder, bool ConjugateRhs,
+  int ResInnerStride>
+struct general_matrix_matrix_product<Index,LhsScalar,LhsStorageOrder,ConjugateLhs,RhsScalar,RhsStorageOrder,ConjugateRhs,RowMajor,ResInnerStride>
+{
+  typedef gebp_traits<RhsScalar,LhsScalar> Traits;
+
+  typedef typename ScalarBinaryOpTraits<LhsScalar, RhsScalar>::ReturnType ResScalar;
+  static EIGEN_STRONG_INLINE void run(
+    Index rows, Index cols, Index depth,
+    const LhsScalar* lhs, Index lhsStride,
+    const RhsScalar* rhs, Index rhsStride,
+    ResScalar* res, Index resIncr, Index resStride,
+    ResScalar alpha,
+    level3_blocking<RhsScalar,LhsScalar>& blocking,
+    GemmParallelInfo<Index>* info = 0)
+  {
+    // transpose the product such that the result is column major
+    general_matrix_matrix_product<Index,
+      RhsScalar, RhsStorageOrder==RowMajor ? ColMajor : RowMajor, ConjugateRhs,
+      LhsScalar, LhsStorageOrder==RowMajor ? ColMajor : RowMajor, ConjugateLhs,
+      ColMajor,ResInnerStride>
+    ::run(cols,rows,depth,rhs,rhsStride,lhs,lhsStride,res,resIncr,resStride,alpha,blocking,info);
+  }
+};
+
+/*  Specialization for a col-major destination matrix
+ *    => Blocking algorithm following Goto's paper */
+template<
+  typename Index,
+  typename LhsScalar, int LhsStorageOrder, bool ConjugateLhs,
+  typename RhsScalar, int RhsStorageOrder, bool ConjugateRhs,
+  int ResInnerStride>
+struct general_matrix_matrix_product<Index,LhsScalar,LhsStorageOrder,ConjugateLhs,RhsScalar,RhsStorageOrder,ConjugateRhs,ColMajor,ResInnerStride>
+{
+
+typedef gebp_traits<LhsScalar,RhsScalar> Traits;
+
+typedef typename ScalarBinaryOpTraits<LhsScalar, RhsScalar>::ReturnType ResScalar;
+static void run(Index rows, Index cols, Index depth,
+  const LhsScalar* _lhs, Index lhsStride,
+  const RhsScalar* _rhs, Index rhsStride,
+  ResScalar* _res, Index resIncr, Index resStride,
+  ResScalar alpha,
+  level3_blocking<LhsScalar,RhsScalar>& blocking,
+  GemmParallelInfo<Index>* info = 0)
+{
+  typedef const_blas_data_mapper<LhsScalar, Index, LhsStorageOrder> LhsMapper;
+  typedef const_blas_data_mapper<RhsScalar, Index, RhsStorageOrder> RhsMapper;
+  typedef blas_data_mapper<typename Traits::ResScalar, Index, ColMajor,Unaligned,ResInnerStride> ResMapper;
+  LhsMapper lhs(_lhs, lhsStride);
+  RhsMapper rhs(_rhs, rhsStride);
+  ResMapper res(_res, resStride, resIncr);
+
+  Index kc = blocking.kc();                   // cache block size along the K direction
+  Index mc = (std::min)(rows,blocking.mc());  // cache block size along the M direction
+  Index nc = (std::min)(cols,blocking.nc());  // cache block size along the N direction
+
+  gemm_pack_lhs<LhsScalar, Index, LhsMapper, Traits::mr, Traits::LhsProgress, LhsStorageOrder> pack_lhs;
+  gemm_pack_rhs<RhsScalar, Index, RhsMapper, Traits::nr, RhsStorageOrder> pack_rhs;
+  gebp_kernel<LhsScalar, RhsScalar, Index, ResMapper, Traits::mr, Traits::nr, ConjugateLhs, ConjugateRhs> gebp;
+
+#ifdef EIGEN_HAS_OPENMP
+  if(info)
+  {
+    // this is the parallel version!
+    int tid = omp_get_thread_num();
+    int threads = omp_get_num_threads();
+
+    LhsScalar* blockA = blocking.blockA();
+    eigen_internal_assert(blockA!=0);
+
+    std::size_t sizeB = kc*nc;
+    ei_declare_aligned_stack_constructed_variable(RhsScalar, blockB, sizeB, 0);
+
+    // For each horizontal panel of the rhs, and corresponding vertical panel of the lhs...
+    for(Index k=0; k<depth; k+=kc)
+    {
+      const Index actual_kc = (std::min)(k+kc,depth)-k; // => rows of B', and cols of the A'
+
+      // In order to reduce the chance that a thread has to wait for the other,
+      // let's start by packing B'.
+      pack_rhs(blockB, rhs.getSubMapper(k,0), actual_kc, nc);
+
+      // Pack A_k to A' in a parallel fashion:
+      // each thread packs the sub block A_k,i to A'_i where i is the thread id.
+
+      // However, before copying to A'_i, we have to make sure that no other thread is still using it,
+      // i.e., we test that info[tid].users equals 0.
+      // Then, we set info[tid].users to the number of threads to mark that all other threads are going to use it.
+      while(info[tid].users!=0) {}
+      info[tid].users += threads;
+
+      pack_lhs(blockA+info[tid].lhs_start*actual_kc, lhs.getSubMapper(info[tid].lhs_start,k), actual_kc, info[tid].lhs_length);
+
+      // Notify the other threads that the part A'_i is ready to go.
+      info[tid].sync = k;
+
+      // Computes C_i += A' * B' per A'_i
+      for(int shift=0; shift<threads; ++shift)
+      {
+        int i = (tid+shift)%threads;
+
+        // At this point we have to make sure that A'_i has been updated by the thread i,
+        // we use testAndSetOrdered to mimic a volatile access.
+        // However, no need to wait for the B' part which has been updated by the current thread!
+        if (shift>0) {
+          while(info[i].sync!=k) {
+          }
+        }
+
+        gebp(res.getSubMapper(info[i].lhs_start, 0), blockA+info[i].lhs_start*actual_kc, blockB, info[i].lhs_length, actual_kc, nc, alpha);
+      }
+
+      // Then keep going as usual with the remaining B'
+      for(Index j=nc; j<cols; j+=nc)
+      {
+        const Index actual_nc = (std::min)(j+nc,cols)-j;
+
+        // pack B_k,j to B'
+        pack_rhs(blockB, rhs.getSubMapper(k,j), actual_kc, actual_nc);
+
+        // C_j += A' * B'
+        gebp(res.getSubMapper(0, j), blockA, blockB, rows, actual_kc, actual_nc, alpha);
+      }
+
+      // Release all the sub blocks A'_i of A' for the current thread,
+      // i.e., we simply decrement the number of users by 1
+      for(Index i=0; i<threads; ++i)
+        #pragma omp atomic
+        info[i].users -= 1;
+    }
+  }
+  else
+#endif // EIGEN_HAS_OPENMP
+  {
+    EIGEN_UNUSED_VARIABLE(info);
+
+    // this is the sequential version!
+    std::size_t sizeA = kc*mc;
+    std::size_t sizeB = kc*nc;
+
+    ei_declare_aligned_stack_constructed_variable(LhsScalar, blockA, sizeA, blocking.blockA());
+    ei_declare_aligned_stack_constructed_variable(RhsScalar, blockB, sizeB, blocking.blockB());
+
+    const bool pack_rhs_once = mc!=rows && kc==depth && nc==cols;
+
+    // For each horizontal panel of the rhs, and corresponding panel of the lhs...
+    for(Index i2=0; i2<rows; i2+=mc)
+    {
+      const Index actual_mc = (std::min)(i2+mc,rows)-i2;
+
+      for(Index k2=0; k2<depth; k2+=kc)
+      {
+        const Index actual_kc = (std::min)(k2+kc,depth)-k2;
+
+        // OK, here we have selected one horizontal panel of rhs and one vertical panel of lhs.
+        // => Pack lhs's panel into a sequential chunk of memory (L2/L3 caching)
+        // Note that this panel will be read as many times as the number of blocks in the rhs's
+        // horizontal panel which is, in practice, a very low number.
+        pack_lhs(blockA, lhs.getSubMapper(i2,k2), actual_kc, actual_mc);
+
+        // For each kc x nc block of the rhs's horizontal panel...
+        for(Index j2=0; j2<cols; j2+=nc)
+        {
+          const Index actual_nc = (std::min)(j2+nc,cols)-j2;
+
+          // We pack the rhs's block into a sequential chunk of memory (L2 caching)
+          // Note that this block will be read a very high number of times, which is equal to the number of
+          // micro horizontal panel of the large rhs's panel (e.g., rows/12 times).
+          if((!pack_rhs_once) || i2==0)
+            pack_rhs(blockB, rhs.getSubMapper(k2,j2), actual_kc, actual_nc);
+
+          // Everything is packed, we can now call the panel * block kernel:
+          gebp(res.getSubMapper(i2, j2), blockA, blockB, actual_mc, actual_kc, actual_nc, alpha);
+        }
+      }
+    }
+  }
+}
+
+};
+
+/*********************************************************************************
+*  Specialization of generic_product_impl for "large" GEMM, i.e.,
+*  implementation of the high level wrapper to general_matrix_matrix_product
+**********************************************************************************/
+
+template<typename Scalar, typename Index, typename Gemm, typename Lhs, typename Rhs, typename Dest, typename BlockingType>
+struct gemm_functor
+{
+  gemm_functor(const Lhs& lhs, const Rhs& rhs, Dest& dest, const Scalar& actualAlpha, BlockingType& blocking)
+    : m_lhs(lhs), m_rhs(rhs), m_dest(dest), m_actualAlpha(actualAlpha), m_blocking(blocking)
+  {}
+
+  void initParallelSession(Index num_threads) const
+  {
+    m_blocking.initParallel(m_lhs.rows(), m_rhs.cols(), m_lhs.cols(), num_threads);
+    m_blocking.allocateA();
+  }
+
+  void operator() (Index row, Index rows, Index col=0, Index cols=-1, GemmParallelInfo<Index>* info=0) const
+  {
+    if(cols==-1)
+      cols = m_rhs.cols();
+
+    Gemm::run(rows, cols, m_lhs.cols(),
+              &m_lhs.coeffRef(row,0), m_lhs.outerStride(),
+              &m_rhs.coeffRef(0,col), m_rhs.outerStride(),
+              (Scalar*)&(m_dest.coeffRef(row,col)), m_dest.innerStride(), m_dest.outerStride(),
+              m_actualAlpha, m_blocking, info);
+  }
+
+  typedef typename Gemm::Traits Traits;
+
+  protected:
+    const Lhs& m_lhs;
+    const Rhs& m_rhs;
+    Dest& m_dest;
+    Scalar m_actualAlpha;
+    BlockingType& m_blocking;
+};
+
+template<int StorageOrder, typename LhsScalar, typename RhsScalar, int MaxRows, int MaxCols, int MaxDepth, int KcFactor=1,
+bool FiniteAtCompileTime = MaxRows!=Dynamic && MaxCols!=Dynamic && MaxDepth != Dynamic> class gemm_blocking_space;
+
+template<typename _LhsScalar, typename _RhsScalar>
+class level3_blocking
+{
+    typedef _LhsScalar LhsScalar;
+    typedef _RhsScalar RhsScalar;
+
+  protected:
+    LhsScalar* m_blockA;
+    RhsScalar* m_blockB;
+
+    Index m_mc;
+    Index m_nc;
+    Index m_kc;
+
+  public:
+
+    level3_blocking()
+      : m_blockA(0), m_blockB(0), m_mc(0), m_nc(0), m_kc(0)
+    {}
+
+    inline Index mc() const { return m_mc; }
+    inline Index nc() const { return m_nc; }
+    inline Index kc() const { return m_kc; }
+
+    inline LhsScalar* blockA() { return m_blockA; }
+    inline RhsScalar* blockB() { return m_blockB; }
+};
+
+template<int StorageOrder, typename _LhsScalar, typename _RhsScalar, int MaxRows, int MaxCols, int MaxDepth, int KcFactor>
+class gemm_blocking_space<StorageOrder,_LhsScalar,_RhsScalar,MaxRows, MaxCols, MaxDepth, KcFactor, true /* == FiniteAtCompileTime */>
+  : public level3_blocking<
+      typename conditional<StorageOrder==RowMajor,_RhsScalar,_LhsScalar>::type,
+      typename conditional<StorageOrder==RowMajor,_LhsScalar,_RhsScalar>::type>
+{
+    enum {
+      Transpose = StorageOrder==RowMajor,
+      ActualRows = Transpose ? MaxCols : MaxRows,
+      ActualCols = Transpose ? MaxRows : MaxCols
+    };
+    typedef typename conditional<Transpose,_RhsScalar,_LhsScalar>::type LhsScalar;
+    typedef typename conditional<Transpose,_LhsScalar,_RhsScalar>::type RhsScalar;
+    typedef gebp_traits<LhsScalar,RhsScalar> Traits;
+    enum {
+      SizeA = ActualRows * MaxDepth,
+      SizeB = ActualCols * MaxDepth
+    };
+
+#if EIGEN_MAX_STATIC_ALIGN_BYTES >= EIGEN_DEFAULT_ALIGN_BYTES
+    EIGEN_ALIGN_MAX LhsScalar m_staticA[SizeA];
+    EIGEN_ALIGN_MAX RhsScalar m_staticB[SizeB];
+#else
+    EIGEN_ALIGN_MAX char m_staticA[SizeA * sizeof(LhsScalar) + EIGEN_DEFAULT_ALIGN_BYTES-1];
+    EIGEN_ALIGN_MAX char m_staticB[SizeB * sizeof(RhsScalar) + EIGEN_DEFAULT_ALIGN_BYTES-1];
+#endif
+
+  public:
+
+    gemm_blocking_space(Index /*rows*/, Index /*cols*/, Index /*depth*/, Index /*num_threads*/, bool /*full_rows = false*/)
+    {
+      this->m_mc = ActualRows;
+      this->m_nc = ActualCols;
+      this->m_kc = MaxDepth;
+#if EIGEN_MAX_STATIC_ALIGN_BYTES >= EIGEN_DEFAULT_ALIGN_BYTES
+      this->m_blockA = m_staticA;
+      this->m_blockB = m_staticB;
+#else
+      this->m_blockA = reinterpret_cast<LhsScalar*>((internal::UIntPtr(m_staticA) + (EIGEN_DEFAULT_ALIGN_BYTES-1)) & ~std::size_t(EIGEN_DEFAULT_ALIGN_BYTES-1));
+      this->m_blockB = reinterpret_cast<RhsScalar*>((internal::UIntPtr(m_staticB) + (EIGEN_DEFAULT_ALIGN_BYTES-1)) & ~std::size_t(EIGEN_DEFAULT_ALIGN_BYTES-1));
+#endif
+    }
+
+    void initParallel(Index, Index, Index, Index)
+    {}
+
+    inline void allocateA() {}
+    inline void allocateB() {}
+    inline void allocateAll() {}
+};
+
+template<int StorageOrder, typename _LhsScalar, typename _RhsScalar, int MaxRows, int MaxCols, int MaxDepth, int KcFactor>
+class gemm_blocking_space<StorageOrder,_LhsScalar,_RhsScalar,MaxRows, MaxCols, MaxDepth, KcFactor, false>
+  : public level3_blocking<
+      typename conditional<StorageOrder==RowMajor,_RhsScalar,_LhsScalar>::type,
+      typename conditional<StorageOrder==RowMajor,_LhsScalar,_RhsScalar>::type>
+{
+    enum {
+      Transpose = StorageOrder==RowMajor
+    };
+    typedef typename conditional<Transpose,_RhsScalar,_LhsScalar>::type LhsScalar;
+    typedef typename conditional<Transpose,_LhsScalar,_RhsScalar>::type RhsScalar;
+    typedef gebp_traits<LhsScalar,RhsScalar> Traits;
+
+    Index m_sizeA;
+    Index m_sizeB;
+
+  public:
+
+    gemm_blocking_space(Index rows, Index cols, Index depth, Index num_threads, bool l3_blocking)
+    {
+      this->m_mc = Transpose ? cols : rows;
+      this->m_nc = Transpose ? rows : cols;
+      this->m_kc = depth;
+
+      if(l3_blocking)
+      {
+        computeProductBlockingSizes<LhsScalar,RhsScalar,KcFactor>(this->m_kc, this->m_mc, this->m_nc, num_threads);
+      }
+      else  // no l3 blocking
+      {
+        Index n = this->m_nc;
+        computeProductBlockingSizes<LhsScalar,RhsScalar,KcFactor>(this->m_kc, this->m_mc, n, num_threads);
+      }
+
+      m_sizeA = this->m_mc * this->m_kc;
+      m_sizeB = this->m_kc * this->m_nc;
+    }
+
+    void initParallel(Index rows, Index cols, Index depth, Index num_threads)
+    {
+      this->m_mc = Transpose ? cols : rows;
+      this->m_nc = Transpose ? rows : cols;
+      this->m_kc = depth;
+
+      eigen_internal_assert(this->m_blockA==0 && this->m_blockB==0);
+      Index m = this->m_mc;
+      computeProductBlockingSizes<LhsScalar,RhsScalar,KcFactor>(this->m_kc, m, this->m_nc, num_threads);
+      m_sizeA = this->m_mc * this->m_kc;
+      m_sizeB = this->m_kc * this->m_nc;
+    }
+
+    void allocateA()
+    {
+      if(this->m_blockA==0)
+        this->m_blockA = aligned_new<LhsScalar>(m_sizeA);
+    }
+
+    void allocateB()
+    {
+      if(this->m_blockB==0)
+        this->m_blockB = aligned_new<RhsScalar>(m_sizeB);
+    }
+
+    void allocateAll()
+    {
+      allocateA();
+      allocateB();
+    }
+
+    ~gemm_blocking_space()
+    {
+      aligned_delete(this->m_blockA, m_sizeA);
+      aligned_delete(this->m_blockB, m_sizeB);
+    }
+};
+
+} // end namespace internal
+
+namespace internal {
+
+template<typename Lhs, typename Rhs>
+struct generic_product_impl<Lhs,Rhs,DenseShape,DenseShape,GemmProduct>
+  : generic_product_impl_base<Lhs,Rhs,generic_product_impl<Lhs,Rhs,DenseShape,DenseShape,GemmProduct> >
+{
+  typedef typename Product<Lhs,Rhs>::Scalar Scalar;
+  typedef typename Lhs::Scalar LhsScalar;
+  typedef typename Rhs::Scalar RhsScalar;
+
+  typedef internal::blas_traits<Lhs> LhsBlasTraits;
+  typedef typename LhsBlasTraits::DirectLinearAccessType ActualLhsType;
+  typedef typename internal::remove_all<ActualLhsType>::type ActualLhsTypeCleaned;
+
+  typedef internal::blas_traits<Rhs> RhsBlasTraits;
+  typedef typename RhsBlasTraits::DirectLinearAccessType ActualRhsType;
+  typedef typename internal::remove_all<ActualRhsType>::type ActualRhsTypeCleaned;
+
+  enum {
+    MaxDepthAtCompileTime = EIGEN_SIZE_MIN_PREFER_FIXED(Lhs::MaxColsAtCompileTime,Rhs::MaxRowsAtCompileTime)
+  };
+
+  typedef generic_product_impl<Lhs,Rhs,DenseShape,DenseShape,CoeffBasedProductMode> lazyproduct;
+
+  template<typename Dst>
+  static void evalTo(Dst& dst, const Lhs& lhs, const Rhs& rhs)
+  {
+    if((rhs.rows()+dst.rows()+dst.cols())<20 && rhs.rows()>0)
+      lazyproduct::eval_dynamic(dst, lhs, rhs, internal::assign_op<typename Dst::Scalar,Scalar>());
+    else
+    {
+      dst.setZero();
+      scaleAndAddTo(dst, lhs, rhs, Scalar(1));
+    }
+  }
+
+  template<typename Dst>
+  static void addTo(Dst& dst, const Lhs& lhs, const Rhs& rhs)
+  {
+    if((rhs.rows()+dst.rows()+dst.cols())<20 && rhs.rows()>0)
+      lazyproduct::eval_dynamic(dst, lhs, rhs, internal::add_assign_op<typename Dst::Scalar,Scalar>());
+    else
+      scaleAndAddTo(dst,lhs, rhs, Scalar(1));
+  }
+
+  template<typename Dst>
+  static void subTo(Dst& dst, const Lhs& lhs, const Rhs& rhs)
+  {
+    if((rhs.rows()+dst.rows()+dst.cols())<20 && rhs.rows()>0)
+      lazyproduct::eval_dynamic(dst, lhs, rhs, internal::sub_assign_op<typename Dst::Scalar,Scalar>());
+    else
+      scaleAndAddTo(dst, lhs, rhs, Scalar(-1));
+  }
+
+  template<typename Dest>
+  static void scaleAndAddTo(Dest& dst, const Lhs& a_lhs, const Rhs& a_rhs, const Scalar& alpha)
+  {
+    eigen_assert(dst.rows()==a_lhs.rows() && dst.cols()==a_rhs.cols());
+    if(a_lhs.cols()==0 || a_lhs.rows()==0 || a_rhs.cols()==0)
+      return;
+
+    typename internal::add_const_on_value_type<ActualLhsType>::type lhs = LhsBlasTraits::extract(a_lhs);
+    typename internal::add_const_on_value_type<ActualRhsType>::type rhs = RhsBlasTraits::extract(a_rhs);
+
+    Scalar actualAlpha = alpha * LhsBlasTraits::extractScalarFactor(a_lhs)
+                               * RhsBlasTraits::extractScalarFactor(a_rhs);
+
+    typedef internal::gemm_blocking_space<(Dest::Flags&RowMajorBit) ? RowMajor : ColMajor,LhsScalar,RhsScalar,
+            Dest::MaxRowsAtCompileTime,Dest::MaxColsAtCompileTime,MaxDepthAtCompileTime> BlockingType;
+
+    typedef internal::gemm_functor<
+      Scalar, Index,
+      internal::general_matrix_matrix_product<
+        Index,
+        LhsScalar, (ActualLhsTypeCleaned::Flags&RowMajorBit) ? RowMajor : ColMajor, bool(LhsBlasTraits::NeedToConjugate),
+        RhsScalar, (ActualRhsTypeCleaned::Flags&RowMajorBit) ? RowMajor : ColMajor, bool(RhsBlasTraits::NeedToConjugate),
+        (Dest::Flags&RowMajorBit) ? RowMajor : ColMajor,
+        Dest::InnerStrideAtCompileTime>,
+      ActualLhsTypeCleaned, ActualRhsTypeCleaned, Dest, BlockingType> GemmFunctor;
+
+    BlockingType blocking(dst.rows(), dst.cols(), lhs.cols(), 1, true);
+    internal::parallelize_gemm<(Dest::MaxRowsAtCompileTime>32 || Dest::MaxRowsAtCompileTime==Dynamic)>
+        (GemmFunctor(lhs, rhs, dst, actualAlpha, blocking), a_lhs.rows(), a_rhs.cols(), a_lhs.cols(), Dest::Flags&RowMajorBit);
+  }
+};
+
+} // end namespace internal
+
+} // end namespace Eigen
+
+#endif // EIGEN_GENERAL_MATRIX_MATRIX_H
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix_BLAS.h
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix_BLAS.h	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix_BLAS.h	(revision 3761)
@@ -0,0 +1,124 @@
+/*
+ Copyright (c) 2011, Intel Corporation. All rights reserved.
+
+ Redistribution and use in source and binary forms, with or without modification,
+ are permitted provided that the following conditions are met:
+
+ * Redistributions of source code must retain the above copyright notice, this
+   list of conditions and the following disclaimer.
+ * Redistributions in binary form must reproduce the above copyright notice,
+   this list of conditions and the following disclaimer in the documentation
+   and/or other materials provided with the distribution.
+ * Neither the name of Intel Corporation nor the names of its contributors may
+   be used to endorse or promote products derived from this software without
+   specific prior written permission.
+
+ THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND
+ ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED
+ WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
+ DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE LIABLE FOR
+ ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES
+ (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES;
+ LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON
+ ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
+ (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS
+ SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
+
+ ********************************************************************************
+ *   Content : Eigen bindings to BLAS F77
+ *   General matrix-matrix product functionality based on ?GEMM.
+ ********************************************************************************
+*/
+
+#ifndef EIGEN_GENERAL_MATRIX_MATRIX_BLAS_H
+#define EIGEN_GENERAL_MATRIX_MATRIX_BLAS_H
+
+namespace Eigen { 
+
+namespace internal {
+
+/**********************************************************************
+* This file implements general matrix-matrix multiplication using BLAS
+* gemm function via partial specialization of
+* general_matrix_matrix_product::run(..) method for float, double,
+* std::complex<float> and std::complex<double> types
+**********************************************************************/
+
+// gemm specialization
+
+#define GEMM_SPECIALIZATION(EIGTYPE, EIGPREFIX, BLASTYPE, BLASFUNC) \
+template< \
+  typename Index, \
+  int LhsStorageOrder, bool ConjugateLhs, \
+  int RhsStorageOrder, bool ConjugateRhs> \
+struct general_matrix_matrix_product<Index,EIGTYPE,LhsStorageOrder,ConjugateLhs,EIGTYPE,RhsStorageOrder,ConjugateRhs,ColMajor,1> \
+{ \
+typedef gebp_traits<EIGTYPE,EIGTYPE> Traits; \
+\
+static void run(Index rows, Index cols, Index depth, \
+  const EIGTYPE* _lhs, Index lhsStride, \
+  const EIGTYPE* _rhs, Index rhsStride, \
+  EIGTYPE* res, Index resIncr, Index resStride, \
+  EIGTYPE alpha, \
+  level3_blocking<EIGTYPE, EIGTYPE>& /*blocking*/, \
+  GemmParallelInfo<Index>* /*info = 0*/) \
+{ \
+  using std::conj; \
+\
+  EIGEN_ONLY_USED_FOR_DEBUG(resIncr); \
+  eigen_assert(resIncr == 1); \
+  char transa, transb; \
+  BlasIndex m, n, k, lda, ldb, ldc; \
+  const EIGTYPE *a, *b; \
+  EIGTYPE beta(1); \
+  MatrixX##EIGPREFIX a_tmp, b_tmp; \
+\
+/* Set transpose options */ \
+  transa = (LhsStorageOrder==RowMajor) ? ((ConjugateLhs) ? 'C' : 'T') : 'N'; \
+  transb = (RhsStorageOrder==RowMajor) ? ((ConjugateRhs) ? 'C' : 'T') : 'N'; \
+\
+/* Set m, n, k */ \
+  m = convert_index<BlasIndex>(rows);  \
+  n = convert_index<BlasIndex>(cols);  \
+  k = convert_index<BlasIndex>(depth); \
+\
+/* Set lda, ldb, ldc */ \
+  lda = convert_index<BlasIndex>(lhsStride); \
+  ldb = convert_index<BlasIndex>(rhsStride); \
+  ldc = convert_index<BlasIndex>(resStride); \
+\
+/* Set a, b, c */ \
+  if ((LhsStorageOrder==ColMajor) && (ConjugateLhs)) { \
+    Map<const MatrixX##EIGPREFIX, 0, OuterStride<> > lhs(_lhs,m,k,OuterStride<>(lhsStride)); \
+    a_tmp = lhs.conjugate(); \
+    a = a_tmp.data(); \
+    lda = convert_index<BlasIndex>(a_tmp.outerStride()); \
+  } else a = _lhs; \
+\
+  if ((RhsStorageOrder==ColMajor) && (ConjugateRhs)) { \
+    Map<const MatrixX##EIGPREFIX, 0, OuterStride<> > rhs(_rhs,k,n,OuterStride<>(rhsStride)); \
+    b_tmp = rhs.conjugate(); \
+    b = b_tmp.data(); \
+    ldb = convert_index<BlasIndex>(b_tmp.outerStride()); \
+  } else b = _rhs; \
+\
+  BLASFUNC(&transa, &transb, &m, &n, &k, (const BLASTYPE*)&numext::real_ref(alpha), (const BLASTYPE*)a, &lda, (const BLASTYPE*)b, &ldb, (const BLASTYPE*)&numext::real_ref(beta), (BLASTYPE*)res, &ldc); \
+}};
+
+#ifdef EIGEN_USE_MKL
+GEMM_SPECIALIZATION(double,   d,  double, dgemm)
+GEMM_SPECIALIZATION(float,    f,  float,  sgemm)
+GEMM_SPECIALIZATION(dcomplex, cd, MKL_Complex16, zgemm)
+GEMM_SPECIALIZATION(scomplex, cf, MKL_Complex8,  cgemm)
+#else
+GEMM_SPECIALIZATION(double,   d,  double, dgemm_)
+GEMM_SPECIALIZATION(float,    f,  float,  sgemm_)
+GEMM_SPECIALIZATION(dcomplex, cd, double, zgemm_)
+GEMM_SPECIALIZATION(scomplex, cf, float,  cgemm_)
+#endif
+
+} // end namespase internal
+
+} // end namespace Eigen
+
+#endif // EIGEN_GENERAL_MATRIX_MATRIX_BLAS_H
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h	(revision 3761)
@@ -0,0 +1,335 @@
+// This file is part of Eigen, a lightweight C++ template library
+// for linear algebra.
+//
+// Copyright (C) 2009 Gael Guennebaud <gael.guennebaud@inria.fr>
+//
+// This Source Code Form is subject to the terms of the Mozilla
+// Public License v. 2.0. If a copy of the MPL was not distributed
+// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
+
+#ifndef EIGEN_TRIANGULAR_SOLVER_MATRIX_H
+#define EIGEN_TRIANGULAR_SOLVER_MATRIX_H
+
+namespace Eigen { 
+
+namespace internal {
+
+// if the rhs is row major, let's transpose the product
+template <typename Scalar, typename Index, int Side, int Mode, bool Conjugate, int TriStorageOrder, int OtherInnerStride>
+struct triangular_solve_matrix<Scalar,Index,Side,Mode,Conjugate,TriStorageOrder,RowMajor,OtherInnerStride>
+{
+  static void run(
+    Index size, Index cols,
+    const Scalar*  tri, Index triStride,
+    Scalar* _other, Index otherIncr, Index otherStride,
+    level3_blocking<Scalar,Scalar>& blocking)
+  {
+    triangular_solve_matrix<
+      Scalar, Index, Side==OnTheLeft?OnTheRight:OnTheLeft,
+      (Mode&UnitDiag) | ((Mode&Upper) ? Lower : Upper),
+      NumTraits<Scalar>::IsComplex && Conjugate,
+      TriStorageOrder==RowMajor ? ColMajor : RowMajor, ColMajor, OtherInnerStride>
+      ::run(size, cols, tri, triStride, _other, otherIncr, otherStride, blocking);
+  }
+};
+
+/* Optimized triangular solver with multiple right hand side and the triangular matrix on the left
+ */
+template <typename Scalar, typename Index, int Mode, bool Conjugate, int TriStorageOrder,int OtherInnerStride>
+struct triangular_solve_matrix<Scalar,Index,OnTheLeft,Mode,Conjugate,TriStorageOrder,ColMajor,OtherInnerStride>
+{
+  static EIGEN_DONT_INLINE void run(
+    Index size, Index otherSize,
+    const Scalar* _tri, Index triStride,
+    Scalar* _other, Index otherIncr, Index otherStride,
+    level3_blocking<Scalar,Scalar>& blocking);
+};
+template <typename Scalar, typename Index, int Mode, bool Conjugate, int TriStorageOrder, int OtherInnerStride>
+EIGEN_DONT_INLINE void triangular_solve_matrix<Scalar,Index,OnTheLeft,Mode,Conjugate,TriStorageOrder,ColMajor,OtherInnerStride>::run(
+    Index size, Index otherSize,
+    const Scalar* _tri, Index triStride,
+    Scalar* _other, Index otherIncr, Index otherStride,
+    level3_blocking<Scalar,Scalar>& blocking)
+  {
+    Index cols = otherSize;
+
+    typedef const_blas_data_mapper<Scalar, Index, TriStorageOrder> TriMapper;
+    typedef blas_data_mapper<Scalar, Index, ColMajor, Unaligned, OtherInnerStride> OtherMapper;
+    TriMapper tri(_tri, triStride);
+    OtherMapper other(_other, otherStride, otherIncr);
+
+    typedef gebp_traits<Scalar,Scalar> Traits;
+
+    enum {
+      SmallPanelWidth   = EIGEN_PLAIN_ENUM_MAX(Traits::mr,Traits::nr),
+      IsLower = (Mode&Lower) == Lower
+    };
+
+    Index kc = blocking.kc();                   // cache block size along the K direction
+    Index mc = (std::min)(size,blocking.mc());  // cache block size along the M direction
+
+    std::size_t sizeA = kc*mc;
+    std::size_t sizeB = kc*cols;
+
+    ei_declare_aligned_stack_constructed_variable(Scalar, blockA, sizeA, blocking.blockA());
+    ei_declare_aligned_stack_constructed_variable(Scalar, blockB, sizeB, blocking.blockB());
+
+    conj_if<Conjugate> conj;
+    gebp_kernel<Scalar, Scalar, Index, OtherMapper, Traits::mr, Traits::nr, Conjugate, false> gebp_kernel;
+    gemm_pack_lhs<Scalar, Index, TriMapper, Traits::mr, Traits::LhsProgress, TriStorageOrder> pack_lhs;
+    gemm_pack_rhs<Scalar, Index, OtherMapper, Traits::nr, ColMajor, false, true> pack_rhs;
+
+    // the goal here is to subdivise the Rhs panels such that we keep some cache
+    // coherence when accessing the rhs elements
+    std::ptrdiff_t l1, l2, l3;
+    manage_caching_sizes(GetAction, &l1, &l2, &l3);
+    Index subcols = cols>0 ? l2/(4 * sizeof(Scalar) * std::max<Index>(otherStride,size)) : 0;
+    subcols = std::max<Index>((subcols/Traits::nr)*Traits::nr, Traits::nr);
+
+    for(Index k2=IsLower ? 0 : size;
+        IsLower ? k2<size : k2>0;
+        IsLower ? k2+=kc : k2-=kc)
+    {
+      const Index actual_kc = (std::min)(IsLower ? size-k2 : k2, kc);
+
+      // We have selected and packed a big horizontal panel R1 of rhs. Let B be the packed copy of this panel,
+      // and R2 the remaining part of rhs. The corresponding vertical panel of lhs is split into
+      // A11 (the triangular part) and A21 the remaining rectangular part.
+      // Then the high level algorithm is:
+      //  - B = R1                    => general block copy (done during the next step)
+      //  - R1 = A11^-1 B             => tricky part
+      //  - update B from the new R1  => actually this has to be performed continuously during the above step
+      //  - R2 -= A21 * B             => GEPP
+
+      // The tricky part: compute R1 = A11^-1 B while updating B from R1
+      // The idea is to split A11 into multiple small vertical panels.
+      // Each panel can be split into a small triangular part T1k which is processed without optimization,
+      // and the remaining small part T2k which is processed using gebp with appropriate block strides
+      for(Index j2=0; j2<cols; j2+=subcols)
+      {
+        Index actual_cols = (std::min)(cols-j2,subcols);
+        // for each small vertical panels [T1k^T, T2k^T]^T of lhs
+        for (Index k1=0; k1<actual_kc; k1+=SmallPanelWidth)
+        {
+          Index actualPanelWidth = std::min<Index>(actual_kc-k1, SmallPanelWidth);
+          // tr solve
+          for (Index k=0; k<actualPanelWidth; ++k)
+          {
+            // TODO write a small kernel handling this (can be shared with trsv)
+            Index i  = IsLower ? k2+k1+k : k2-k1-k-1;
+            Index rs = actualPanelWidth - k - 1; // remaining size
+            Index s  = TriStorageOrder==RowMajor ? (IsLower ? k2+k1 : i+1)
+                                                 :  IsLower ? i+1 : i-rs;
+
+            Scalar a = (Mode & UnitDiag) ? Scalar(1) : Scalar(1)/conj(tri(i,i));
+            for (Index j=j2; j<j2+actual_cols; ++j)
+            {
+              if (TriStorageOrder==RowMajor)
+              {
+                Scalar b(0);
+                const Scalar* l = &tri(i,s);
+                typename OtherMapper::LinearMapper r = other.getLinearMapper(s,j);
+                for (Index i3=0; i3<k; ++i3)
+                  b += conj(l[i3]) * r(i3);
+
+                other(i,j) = (other(i,j) - b)*a;
+              }
+              else
+              {
+                Scalar b = (other(i,j) *= a);
+                typename OtherMapper::LinearMapper r = other.getLinearMapper(s,j);
+                typename TriMapper::LinearMapper l = tri.getLinearMapper(s,i);
+                for (Index i3=0;i3<rs;++i3)
+                  r(i3) -= b * conj(l(i3));
+              }
+            }
+          }
+
+          Index lengthTarget = actual_kc-k1-actualPanelWidth;
+          Index startBlock   = IsLower ? k2+k1 : k2-k1-actualPanelWidth;
+          Index blockBOffset = IsLower ? k1 : lengthTarget;
+
+          // update the respective rows of B from other
+          pack_rhs(blockB+actual_kc*j2, other.getSubMapper(startBlock,j2), actualPanelWidth, actual_cols, actual_kc, blockBOffset);
+
+          // GEBP
+          if (lengthTarget>0)
+          {
+            Index startTarget  = IsLower ? k2+k1+actualPanelWidth : k2-actual_kc;
+
+            pack_lhs(blockA, tri.getSubMapper(startTarget,startBlock), actualPanelWidth, lengthTarget);
+
+            gebp_kernel(other.getSubMapper(startTarget,j2), blockA, blockB+actual_kc*j2, lengthTarget, actualPanelWidth, actual_cols, Scalar(-1),
+                        actualPanelWidth, actual_kc, 0, blockBOffset);
+          }
+        }
+      }
+      
+      // R2 -= A21 * B => GEPP
+      {
+        Index start = IsLower ? k2+kc : 0;
+        Index end   = IsLower ? size : k2-kc;
+        for(Index i2=start; i2<end; i2+=mc)
+        {
+          const Index actual_mc = (std::min)(mc,end-i2);
+          if (actual_mc>0)
+          {
+            pack_lhs(blockA, tri.getSubMapper(i2, IsLower ? k2 : k2-kc), actual_kc, actual_mc);
+
+            gebp_kernel(other.getSubMapper(i2, 0), blockA, blockB, actual_mc, actual_kc, cols, Scalar(-1), -1, -1, 0, 0);
+          }
+        }
+      }
+    }
+  }
+
+/* Optimized triangular solver with multiple left hand sides and the triangular matrix on the right
+ */
+template <typename Scalar, typename Index, int Mode, bool Conjugate, int TriStorageOrder, int OtherInnerStride>
+struct triangular_solve_matrix<Scalar,Index,OnTheRight,Mode,Conjugate,TriStorageOrder,ColMajor,OtherInnerStride>
+{
+  static EIGEN_DONT_INLINE void run(
+    Index size, Index otherSize,
+    const Scalar* _tri, Index triStride,
+    Scalar* _other, Index otherIncr, Index otherStride,
+    level3_blocking<Scalar,Scalar>& blocking);
+};
+template <typename Scalar, typename Index, int Mode, bool Conjugate, int TriStorageOrder, int OtherInnerStride>
+EIGEN_DONT_INLINE void triangular_solve_matrix<Scalar,Index,OnTheRight,Mode,Conjugate,TriStorageOrder,ColMajor,OtherInnerStride>::run(
+    Index size, Index otherSize,
+    const Scalar* _tri, Index triStride,
+    Scalar* _other, Index otherIncr, Index otherStride,
+    level3_blocking<Scalar,Scalar>& blocking)
+  {
+    Index rows = otherSize;
+    typedef typename NumTraits<Scalar>::Real RealScalar;
+
+    typedef blas_data_mapper<Scalar, Index, ColMajor, Unaligned, OtherInnerStride> LhsMapper;
+    typedef const_blas_data_mapper<Scalar, Index, TriStorageOrder> RhsMapper;
+    LhsMapper lhs(_other, otherStride, otherIncr);
+    RhsMapper rhs(_tri, triStride);
+
+    typedef gebp_traits<Scalar,Scalar> Traits;
+    enum {
+      RhsStorageOrder   = TriStorageOrder,
+      SmallPanelWidth   = EIGEN_PLAIN_ENUM_MAX(Traits::mr,Traits::nr),
+      IsLower = (Mode&Lower) == Lower
+    };
+
+    Index kc = blocking.kc();                   // cache block size along the K direction
+    Index mc = (std::min)(rows,blocking.mc());  // cache block size along the M direction
+
+    std::size_t sizeA = kc*mc;
+    std::size_t sizeB = kc*size;
+
+    ei_declare_aligned_stack_constructed_variable(Scalar, blockA, sizeA, blocking.blockA());
+    ei_declare_aligned_stack_constructed_variable(Scalar, blockB, sizeB, blocking.blockB());
+
+    conj_if<Conjugate> conj;
+    gebp_kernel<Scalar, Scalar, Index, LhsMapper, Traits::mr, Traits::nr, false, Conjugate> gebp_kernel;
+    gemm_pack_rhs<Scalar, Index, RhsMapper, Traits::nr, RhsStorageOrder> pack_rhs;
+    gemm_pack_rhs<Scalar, Index, RhsMapper, Traits::nr, RhsStorageOrder,false,true> pack_rhs_panel;
+    gemm_pack_lhs<Scalar, Index, LhsMapper, Traits::mr, Traits::LhsProgress, ColMajor, false, true> pack_lhs_panel;
+
+    for(Index k2=IsLower ? size : 0;
+        IsLower ? k2>0 : k2<size;
+        IsLower ? k2-=kc : k2+=kc)
+    {
+      const Index actual_kc = (std::min)(IsLower ? k2 : size-k2, kc);
+      Index actual_k2 = IsLower ? k2-actual_kc : k2 ;
+
+      Index startPanel = IsLower ? 0 : k2+actual_kc;
+      Index rs = IsLower ? actual_k2 : size - actual_k2 - actual_kc;
+      Scalar* geb = blockB+actual_kc*actual_kc;
+
+      if (rs>0) pack_rhs(geb, rhs.getSubMapper(actual_k2,startPanel), actual_kc, rs);
+
+      // triangular packing (we only pack the panels off the diagonal,
+      // neglecting the blocks overlapping the diagonal
+      {
+        for (Index j2=0; j2<actual_kc; j2+=SmallPanelWidth)
+        {
+          Index actualPanelWidth = std::min<Index>(actual_kc-j2, SmallPanelWidth);
+          Index actual_j2 = actual_k2 + j2;
+          Index panelOffset = IsLower ? j2+actualPanelWidth : 0;
+          Index panelLength = IsLower ? actual_kc-j2-actualPanelWidth : j2;
+
+          if (panelLength>0)
+          pack_rhs_panel(blockB+j2*actual_kc,
+                         rhs.getSubMapper(actual_k2+panelOffset, actual_j2),
+                         panelLength, actualPanelWidth,
+                         actual_kc, panelOffset);
+        }
+      }
+
+      for(Index i2=0; i2<rows; i2+=mc)
+      {
+        const Index actual_mc = (std::min)(mc,rows-i2);
+
+        // triangular solver kernel
+        {
+          // for each small block of the diagonal (=> vertical panels of rhs)
+          for (Index j2 = IsLower
+                      ? (actual_kc - ((actual_kc%SmallPanelWidth) ? Index(actual_kc%SmallPanelWidth)
+                                                                  : Index(SmallPanelWidth)))
+                      : 0;
+               IsLower ? j2>=0 : j2<actual_kc;
+               IsLower ? j2-=SmallPanelWidth : j2+=SmallPanelWidth)
+          {
+            Index actualPanelWidth = std::min<Index>(actual_kc-j2, SmallPanelWidth);
+            Index absolute_j2 = actual_k2 + j2;
+            Index panelOffset = IsLower ? j2+actualPanelWidth : 0;
+            Index panelLength = IsLower ? actual_kc - j2 - actualPanelWidth : j2;
+
+            // GEBP
+            if(panelLength>0)
+            {
+              gebp_kernel(lhs.getSubMapper(i2,absolute_j2),
+                          blockA, blockB+j2*actual_kc,
+                          actual_mc, panelLength, actualPanelWidth,
+                          Scalar(-1),
+                          actual_kc, actual_kc, // strides
+                          panelOffset, panelOffset); // offsets
+            }
+
+            // unblocked triangular solve
+            for (Index k=0; k<actualPanelWidth; ++k)
+            {
+              Index j = IsLower ? absolute_j2+actualPanelWidth-k-1 : absolute_j2+k;
+
+              typename LhsMapper::LinearMapper r = lhs.getLinearMapper(i2,j);
+              for (Index k3=0; k3<k; ++k3)
+              {
+                Scalar b = conj(rhs(IsLower ? j+1+k3 : absolute_j2+k3,j));
+                typename LhsMapper::LinearMapper a = lhs.getLinearMapper(i2,IsLower ? j+1+k3 : absolute_j2+k3);
+                for (Index i=0; i<actual_mc; ++i)
+                  r(i) -= a(i) * b;
+              }
+              if((Mode & UnitDiag)==0)
+              {
+                Scalar inv_rjj = RealScalar(1)/conj(rhs(j,j));
+                for (Index i=0; i<actual_mc; ++i)
+                  r(i) *= inv_rjj;
+              }
+            }
+
+            // pack the just computed part of lhs to A
+            pack_lhs_panel(blockA, lhs.getSubMapper(i2,absolute_j2),
+                           actualPanelWidth, actual_mc,
+                           actual_kc, j2);
+          }
+        }
+
+        if (rs>0)
+          gebp_kernel(lhs.getSubMapper(i2, startPanel), blockA, geb,
+                      actual_mc, actual_kc, rs, Scalar(-1),
+                      -1, -1, 0, 0);
+      }
+    }
+  }
+
+} // end namespace internal
+
+} // end namespace Eigen
+
+#endif // EIGEN_TRIANGULAR_SOLVER_MATRIX_H
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix_BLAS.h
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix_BLAS.h	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix_BLAS.h	(revision 3761)
@@ -0,0 +1,167 @@
+/*
+ Copyright (c) 2011, Intel Corporation. All rights reserved.
+
+ Redistribution and use in source and binary forms, with or without modification,
+ are permitted provided that the following conditions are met:
+
+ * Redistributions of source code must retain the above copyright notice, this
+   list of conditions and the following disclaimer.
+ * Redistributions in binary form must reproduce the above copyright notice,
+   this list of conditions and the following disclaimer in the documentation
+   and/or other materials provided with the distribution.
+ * Neither the name of Intel Corporation nor the names of its contributors may
+   be used to endorse or promote products derived from this software without
+   specific prior written permission.
+
+ THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND
+ ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED
+ WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
+ DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE LIABLE FOR
+ ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES
+ (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES;
+ LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON
+ ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
+ (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS
+ SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
+
+ ********************************************************************************
+ *   Content : Eigen bindings to BLAS F77
+ *   Triangular matrix * matrix product functionality based on ?TRMM.
+ ********************************************************************************
+*/
+
+#ifndef EIGEN_TRIANGULAR_SOLVER_MATRIX_BLAS_H
+#define EIGEN_TRIANGULAR_SOLVER_MATRIX_BLAS_H
+
+namespace Eigen {
+
+namespace internal {
+
+// implements LeftSide op(triangular)^-1 * general
+#define EIGEN_BLAS_TRSM_L(EIGTYPE, BLASTYPE, BLASFUNC) \
+template <typename Index, int Mode, bool Conjugate, int TriStorageOrder> \
+struct triangular_solve_matrix<EIGTYPE,Index,OnTheLeft,Mode,Conjugate,TriStorageOrder,ColMajor,1> \
+{ \
+  enum { \
+    IsLower = (Mode&Lower) == Lower, \
+    IsUnitDiag  = (Mode&UnitDiag) ? 1 : 0, \
+    IsZeroDiag  = (Mode&ZeroDiag) ? 1 : 0, \
+    conjA = ((TriStorageOrder==ColMajor) && Conjugate) ? 1 : 0 \
+  }; \
+  static void run( \
+      Index size, Index otherSize, \
+      const EIGTYPE* _tri, Index triStride, \
+      EIGTYPE* _other, Index otherIncr, Index otherStride, level3_blocking<EIGTYPE,EIGTYPE>& /*blocking*/) \
+  { \
+   EIGEN_ONLY_USED_FOR_DEBUG(otherIncr); \
+   eigen_assert(otherIncr == 1); \
+   BlasIndex m = convert_index<BlasIndex>(size), n = convert_index<BlasIndex>(otherSize), lda, ldb; \
+   char side = 'L', uplo, diag='N', transa; \
+   /* Set alpha_ */ \
+   EIGTYPE alpha(1); \
+   ldb = convert_index<BlasIndex>(otherStride);\
+\
+   const EIGTYPE *a; \
+/* Set trans */ \
+   transa = (TriStorageOrder==RowMajor) ? ((Conjugate) ? 'C' : 'T') : 'N'; \
+/* Set uplo */ \
+   uplo = IsLower ? 'L' : 'U'; \
+   if (TriStorageOrder==RowMajor) uplo = (uplo == 'L') ? 'U' : 'L'; \
+/* Set a, lda */ \
+   typedef Matrix<EIGTYPE, Dynamic, Dynamic, TriStorageOrder> MatrixTri; \
+   Map<const MatrixTri, 0, OuterStride<> > tri(_tri,size,size,OuterStride<>(triStride)); \
+   MatrixTri a_tmp; \
+\
+   if (conjA) { \
+     a_tmp = tri.conjugate(); \
+     a = a_tmp.data(); \
+     lda = convert_index<BlasIndex>(a_tmp.outerStride()); \
+   } else { \
+     a = _tri; \
+     lda = convert_index<BlasIndex>(triStride); \
+   } \
+   if (IsUnitDiag) diag='U'; \
+/* call ?trsm*/ \
+   BLASFUNC(&side, &uplo, &transa, &diag, &m, &n, (const BLASTYPE*)&numext::real_ref(alpha), (const BLASTYPE*)a, &lda, (BLASTYPE*)_other, &ldb); \
+ } \
+};
+
+#ifdef EIGEN_USE_MKL
+EIGEN_BLAS_TRSM_L(double,   double, dtrsm)
+EIGEN_BLAS_TRSM_L(dcomplex, MKL_Complex16, ztrsm)
+EIGEN_BLAS_TRSM_L(float,    float,  strsm)
+EIGEN_BLAS_TRSM_L(scomplex, MKL_Complex8, ctrsm)
+#else
+EIGEN_BLAS_TRSM_L(double,   double, dtrsm_)
+EIGEN_BLAS_TRSM_L(dcomplex, double, ztrsm_)
+EIGEN_BLAS_TRSM_L(float,    float,  strsm_)
+EIGEN_BLAS_TRSM_L(scomplex, float,  ctrsm_)
+#endif
+
+// implements RightSide general * op(triangular)^-1
+#define EIGEN_BLAS_TRSM_R(EIGTYPE, BLASTYPE, BLASFUNC) \
+template <typename Index, int Mode, bool Conjugate, int TriStorageOrder> \
+struct triangular_solve_matrix<EIGTYPE,Index,OnTheRight,Mode,Conjugate,TriStorageOrder,ColMajor,1> \
+{ \
+  enum { \
+    IsLower = (Mode&Lower) == Lower, \
+    IsUnitDiag  = (Mode&UnitDiag) ? 1 : 0, \
+    IsZeroDiag  = (Mode&ZeroDiag) ? 1 : 0, \
+    conjA = ((TriStorageOrder==ColMajor) && Conjugate) ? 1 : 0 \
+  }; \
+  static void run( \
+      Index size, Index otherSize, \
+      const EIGTYPE* _tri, Index triStride, \
+      EIGTYPE* _other, Index otherIncr, Index otherStride, level3_blocking<EIGTYPE,EIGTYPE>& /*blocking*/) \
+  { \
+   EIGEN_ONLY_USED_FOR_DEBUG(otherIncr); \
+   eigen_assert(otherIncr == 1); \
+   BlasIndex m = convert_index<BlasIndex>(otherSize), n = convert_index<BlasIndex>(size), lda, ldb; \
+   char side = 'R', uplo, diag='N', transa; \
+   /* Set alpha_ */ \
+   EIGTYPE alpha(1); \
+   ldb = convert_index<BlasIndex>(otherStride);\
+\
+   const EIGTYPE *a; \
+/* Set trans */ \
+   transa = (TriStorageOrder==RowMajor) ? ((Conjugate) ? 'C' : 'T') : 'N'; \
+/* Set uplo */ \
+   uplo = IsLower ? 'L' : 'U'; \
+   if (TriStorageOrder==RowMajor) uplo = (uplo == 'L') ? 'U' : 'L'; \
+/* Set a, lda */ \
+   typedef Matrix<EIGTYPE, Dynamic, Dynamic, TriStorageOrder> MatrixTri; \
+   Map<const MatrixTri, 0, OuterStride<> > tri(_tri,size,size,OuterStride<>(triStride)); \
+   MatrixTri a_tmp; \
+\
+   if (conjA) { \
+     a_tmp = tri.conjugate(); \
+     a = a_tmp.data(); \
+     lda = convert_index<BlasIndex>(a_tmp.outerStride()); \
+   } else { \
+     a = _tri; \
+     lda = convert_index<BlasIndex>(triStride); \
+   } \
+   if (IsUnitDiag) diag='U'; \
+/* call ?trsm*/ \
+   BLASFUNC(&side, &uplo, &transa, &diag, &m, &n, (const BLASTYPE*)&numext::real_ref(alpha), (const BLASTYPE*)a, &lda, (BLASTYPE*)_other, &ldb); \
+   /*std::cout << "TRMS_L specialization!\n";*/ \
+ } \
+};
+
+#ifdef EIGEN_USE_MKL
+EIGEN_BLAS_TRSM_R(double,   double, dtrsm)
+EIGEN_BLAS_TRSM_R(dcomplex, MKL_Complex16, ztrsm)
+EIGEN_BLAS_TRSM_R(float,    float,  strsm)
+EIGEN_BLAS_TRSM_R(scomplex, MKL_Complex8,  ctrsm)
+#else
+EIGEN_BLAS_TRSM_R(double,   double, dtrsm_)
+EIGEN_BLAS_TRSM_R(dcomplex, double, ztrsm_)
+EIGEN_BLAS_TRSM_R(float,    float,  strsm_)
+EIGEN_BLAS_TRSM_R(scomplex, float,  ctrsm_)
+#endif
+
+} // end namespace internal
+
+} // end namespace Eigen
+
+#endif // EIGEN_TRIANGULAR_SOLVER_MATRIX_BLAS_H
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/MathFunctions.h
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/MathFunctions.h	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/MathFunctions.h	(revision 3761)
@@ -0,0 +1,1421 @@
+// This file is part of Eigen, a lightweight C++ template library
+// for linear algebra.
+//
+// Copyright (C) 2006-2010 Benoit Jacob <jacob.benoit.1@gmail.com>
+//
+// This Source Code Form is subject to the terms of the Mozilla
+// Public License v. 2.0. If a copy of the MPL was not distributed
+// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
+
+#ifndef EIGEN_MATHFUNCTIONS_H
+#define EIGEN_MATHFUNCTIONS_H
+
+// source: http://www.geom.uiuc.edu/~huberty/math5337/groupe/digits.html
+// TODO this should better be moved to NumTraits
+#define EIGEN_PI 3.141592653589793238462643383279502884197169399375105820974944592307816406L
+
+
+namespace Eigen {
+
+// On WINCE, std::abs is defined for int only, so let's defined our own overloads:
+// This issue has been confirmed with MSVC 2008 only, but the issue might exist for more recent versions too.
+#if EIGEN_OS_WINCE && EIGEN_COMP_MSVC && EIGEN_COMP_MSVC<=1500
+long        abs(long        x) { return (labs(x));  }
+double      abs(double      x) { return (fabs(x));  }
+float       abs(float       x) { return (fabsf(x)); }
+long double abs(long double x) { return (fabsl(x)); }
+#endif
+
+namespace internal {
+
+/** \internal \class global_math_functions_filtering_base
+  *
+  * What it does:
+  * Defines a typedef 'type' as follows:
+  * - if type T has a member typedef Eigen_BaseClassForSpecializationOfGlobalMathFuncImpl, then
+  *   global_math_functions_filtering_base<T>::type is a typedef for it.
+  * - otherwise, global_math_functions_filtering_base<T>::type is a typedef for T.
+  *
+  * How it's used:
+  * To allow to defined the global math functions (like sin...) in certain cases, like the Array expressions.
+  * When you do sin(array1+array2), the object array1+array2 has a complicated expression type, all what you want to know
+  * is that it inherits ArrayBase. So we implement a partial specialization of sin_impl for ArrayBase<Derived>.
+  * So we must make sure to use sin_impl<ArrayBase<Derived> > and not sin_impl<Derived>, otherwise our partial specialization
+  * won't be used. How does sin know that? That's exactly what global_math_functions_filtering_base tells it.
+  *
+  * How it's implemented:
+  * SFINAE in the style of enable_if. Highly susceptible of breaking compilers. With GCC, it sure does work, but if you replace
+  * the typename dummy by an integer template parameter, it doesn't work anymore!
+  */
+
+template<typename T, typename dummy = void>
+struct global_math_functions_filtering_base
+{
+  typedef T type;
+};
+
+template<typename T> struct always_void { typedef void type; };
+
+template<typename T>
+struct global_math_functions_filtering_base
+  <T,
+   typename always_void<typename T::Eigen_BaseClassForSpecializationOfGlobalMathFuncImpl>::type
+  >
+{
+  typedef typename T::Eigen_BaseClassForSpecializationOfGlobalMathFuncImpl type;
+};
+
+#define EIGEN_MATHFUNC_IMPL(func, scalar) Eigen::internal::func##_impl<typename Eigen::internal::global_math_functions_filtering_base<scalar>::type>
+#define EIGEN_MATHFUNC_RETVAL(func, scalar) typename Eigen::internal::func##_retval<typename Eigen::internal::global_math_functions_filtering_base<scalar>::type>::type
+
+/****************************************************************************
+* Implementation of real                                                 *
+****************************************************************************/
+
+template<typename Scalar, bool IsComplex = NumTraits<Scalar>::IsComplex>
+struct real_default_impl
+{
+  typedef typename NumTraits<Scalar>::Real RealScalar;
+  EIGEN_DEVICE_FUNC
+  static inline RealScalar run(const Scalar& x)
+  {
+    return x;
+  }
+};
+
+template<typename Scalar>
+struct real_default_impl<Scalar,true>
+{
+  typedef typename NumTraits<Scalar>::Real RealScalar;
+  EIGEN_DEVICE_FUNC
+  static inline RealScalar run(const Scalar& x)
+  {
+    using std::real;
+    return real(x);
+  }
+};
+
+template<typename Scalar> struct real_impl : real_default_impl<Scalar> {};
+
+#ifdef __CUDA_ARCH__
+template<typename T>
+struct real_impl<std::complex<T> >
+{
+  typedef T RealScalar;
+  EIGEN_DEVICE_FUNC
+  static inline T run(const std::complex<T>& x)
+  {
+    return x.real();
+  }
+};
+#endif
+
+template<typename Scalar>
+struct real_retval
+{
+  typedef typename NumTraits<Scalar>::Real type;
+};
+
+/****************************************************************************
+* Implementation of imag                                                 *
+****************************************************************************/
+
+template<typename Scalar, bool IsComplex = NumTraits<Scalar>::IsComplex>
+struct imag_default_impl
+{
+  typedef typename NumTraits<Scalar>::Real RealScalar;
+  EIGEN_DEVICE_FUNC
+  static inline RealScalar run(const Scalar&)
+  {
+    return RealScalar(0);
+  }
+};
+
+template<typename Scalar>
+struct imag_default_impl<Scalar,true>
+{
+  typedef typename NumTraits<Scalar>::Real RealScalar;
+  EIGEN_DEVICE_FUNC
+  static inline RealScalar run(const Scalar& x)
+  {
+    using std::imag;
+    return imag(x);
+  }
+};
+
+template<typename Scalar> struct imag_impl : imag_default_impl<Scalar> {};
+
+#ifdef __CUDA_ARCH__
+template<typename T>
+struct imag_impl<std::complex<T> >
+{
+  typedef T RealScalar;
+  EIGEN_DEVICE_FUNC
+  static inline T run(const std::complex<T>& x)
+  {
+    return x.imag();
+  }
+};
+#endif
+
+template<typename Scalar>
+struct imag_retval
+{
+  typedef typename NumTraits<Scalar>::Real type;
+};
+
+/****************************************************************************
+* Implementation of real_ref                                             *
+****************************************************************************/
+
+template<typename Scalar>
+struct real_ref_impl
+{
+  typedef typename NumTraits<Scalar>::Real RealScalar;
+  EIGEN_DEVICE_FUNC
+  static inline RealScalar& run(Scalar& x)
+  {
+    return reinterpret_cast<RealScalar*>(&x)[0];
+  }
+  EIGEN_DEVICE_FUNC
+  static inline const RealScalar& run(const Scalar& x)
+  {
+    return reinterpret_cast<const RealScalar*>(&x)[0];
+  }
+};
+
+template<typename Scalar>
+struct real_ref_retval
+{
+  typedef typename NumTraits<Scalar>::Real & type;
+};
+
+/****************************************************************************
+* Implementation of imag_ref                                             *
+****************************************************************************/
+
+template<typename Scalar, bool IsComplex>
+struct imag_ref_default_impl
+{
+  typedef typename NumTraits<Scalar>::Real RealScalar;
+  EIGEN_DEVICE_FUNC
+  static inline RealScalar& run(Scalar& x)
+  {
+    return reinterpret_cast<RealScalar*>(&x)[1];
+  }
+  EIGEN_DEVICE_FUNC
+  static inline const RealScalar& run(const Scalar& x)
+  {
+    return reinterpret_cast<RealScalar*>(&x)[1];
+  }
+};
+
+template<typename Scalar>
+struct imag_ref_default_impl<Scalar, false>
+{
+  EIGEN_DEVICE_FUNC
+  static inline Scalar run(Scalar&)
+  {
+    return Scalar(0);
+  }
+  EIGEN_DEVICE_FUNC
+  static inline const Scalar run(const Scalar&)
+  {
+    return Scalar(0);
+  }
+};
+
+template<typename Scalar>
+struct imag_ref_impl : imag_ref_default_impl<Scalar, NumTraits<Scalar>::IsComplex> {};
+
+template<typename Scalar>
+struct imag_ref_retval
+{
+  typedef typename NumTraits<Scalar>::Real & type;
+};
+
+/****************************************************************************
+* Implementation of conj                                                 *
+****************************************************************************/
+
+template<typename Scalar, bool IsComplex = NumTraits<Scalar>::IsComplex>
+struct conj_impl
+{
+  EIGEN_DEVICE_FUNC
+  static inline Scalar run(const Scalar& x)
+  {
+    return x;
+  }
+};
+
+template<typename Scalar>
+struct conj_impl<Scalar,true>
+{
+  EIGEN_DEVICE_FUNC
+  static inline Scalar run(const Scalar& x)
+  {
+    using std::conj;
+    return conj(x);
+  }
+};
+
+template<typename Scalar>
+struct conj_retval
+{
+  typedef Scalar type;
+};
+
+/****************************************************************************
+* Implementation of abs2                                                 *
+****************************************************************************/
+
+template<typename Scalar,bool IsComplex>
+struct abs2_impl_default
+{
+  typedef typename NumTraits<Scalar>::Real RealScalar;
+  EIGEN_DEVICE_FUNC
+  static inline RealScalar run(const Scalar& x)
+  {
+    return x*x;
+  }
+};
+
+template<typename Scalar>
+struct abs2_impl_default<Scalar, true> // IsComplex
+{
+  typedef typename NumTraits<Scalar>::Real RealScalar;
+  EIGEN_DEVICE_FUNC
+  static inline RealScalar run(const Scalar& x)
+  {
+    return x.real()*x.real() + x.imag()*x.imag();
+  }
+};
+
+template<typename Scalar>
+struct abs2_impl
+{
+  typedef typename NumTraits<Scalar>::Real RealScalar;
+  EIGEN_DEVICE_FUNC
+  static inline RealScalar run(const Scalar& x)
+  {
+    return abs2_impl_default<Scalar,NumTraits<Scalar>::IsComplex>::run(x);
+  }
+};
+
+template<typename Scalar>
+struct abs2_retval
+{
+  typedef typename NumTraits<Scalar>::Real type;
+};
+
+/****************************************************************************
+* Implementation of norm1                                                *
+****************************************************************************/
+
+template<typename Scalar, bool IsComplex>
+struct norm1_default_impl;
+
+template<typename Scalar>
+struct norm1_default_impl<Scalar,true>
+{
+  typedef typename NumTraits<Scalar>::Real RealScalar;
+  EIGEN_DEVICE_FUNC
+  static inline RealScalar run(const Scalar& x)
+  {
+    EIGEN_USING_STD_MATH(abs);
+    return abs(x.real()) + abs(x.imag());
+  }
+};
+
+template<typename Scalar>
+struct norm1_default_impl<Scalar, false>
+{
+  EIGEN_DEVICE_FUNC
+  static inline Scalar run(const Scalar& x)
+  {
+    EIGEN_USING_STD_MATH(abs);
+    return abs(x);
+  }
+};
+
+template<typename Scalar>
+struct norm1_impl : norm1_default_impl<Scalar, NumTraits<Scalar>::IsComplex> {};
+
+template<typename Scalar>
+struct norm1_retval
+{
+  typedef typename NumTraits<Scalar>::Real type;
+};
+
+/****************************************************************************
+* Implementation of hypot                                                *
+****************************************************************************/
+
+template<typename Scalar> struct hypot_impl;
+
+template<typename Scalar>
+struct hypot_retval
+{
+  typedef typename NumTraits<Scalar>::Real type;
+};
+
+/****************************************************************************
+* Implementation of cast                                                 *
+****************************************************************************/
+
+template<typename OldType, typename NewType>
+struct cast_impl
+{
+  EIGEN_DEVICE_FUNC
+  static inline NewType run(const OldType& x)
+  {
+    return static_cast<NewType>(x);
+  }
+};
+
+// here, for once, we're plainly returning NewType: we don't want cast to do weird things.
+
+template<typename OldType, typename NewType>
+EIGEN_DEVICE_FUNC
+inline NewType cast(const OldType& x)
+{
+  return cast_impl<OldType, NewType>::run(x);
+}
+
+/****************************************************************************
+* Implementation of round                                                   *
+****************************************************************************/
+
+#if EIGEN_HAS_CXX11_MATH
+  template<typename Scalar>
+  struct round_impl {
+    static inline Scalar run(const Scalar& x)
+    {
+      EIGEN_STATIC_ASSERT((!NumTraits<Scalar>::IsComplex), NUMERIC_TYPE_MUST_BE_REAL)
+      using std::round;
+      return round(x);
+    }
+  };
+#else
+  template<typename Scalar>
+  struct round_impl
+  {
+    static inline Scalar run(const Scalar& x)
+    {
+      EIGEN_STATIC_ASSERT((!NumTraits<Scalar>::IsComplex), NUMERIC_TYPE_MUST_BE_REAL)
+      EIGEN_USING_STD_MATH(floor);
+      EIGEN_USING_STD_MATH(ceil);
+      return (x > Scalar(0)) ? floor(x + Scalar(0.5)) : ceil(x - Scalar(0.5));
+    }
+  };
+#endif
+
+template<typename Scalar>
+struct round_retval
+{
+  typedef Scalar type;
+};
+
+/****************************************************************************
+* Implementation of arg                                                     *
+****************************************************************************/
+
+#if EIGEN_HAS_CXX11_MATH
+  template<typename Scalar>
+  struct arg_impl {
+    static inline Scalar run(const Scalar& x)
+    {
+      EIGEN_USING_STD_MATH(arg);
+      return arg(x);
+    }
+  };
+#else
+  template<typename Scalar, bool IsComplex = NumTraits<Scalar>::IsComplex>
+  struct arg_default_impl
+  {
+    typedef typename NumTraits<Scalar>::Real RealScalar;
+    EIGEN_DEVICE_FUNC
+    static inline RealScalar run(const Scalar& x)
+    {
+      return (x < Scalar(0)) ? Scalar(EIGEN_PI) : Scalar(0); }
+  };
+
+  template<typename Scalar>
+  struct arg_default_impl<Scalar,true>
+  {
+    typedef typename NumTraits<Scalar>::Real RealScalar;
+    EIGEN_DEVICE_FUNC
+    static inline RealScalar run(const Scalar& x)
+    {
+      EIGEN_USING_STD_MATH(arg);
+      return arg(x);
+    }
+  };
+
+  template<typename Scalar> struct arg_impl : arg_default_impl<Scalar> {};
+#endif
+
+template<typename Scalar>
+struct arg_retval
+{
+  typedef typename NumTraits<Scalar>::Real type;
+};
+
+/****************************************************************************
+* Implementation of log1p                                                   *
+****************************************************************************/
+
+namespace std_fallback {
+  // fallback log1p implementation in case there is no log1p(Scalar) function in namespace of Scalar,
+  // or that there is no suitable std::log1p function available
+  template<typename Scalar>
+  EIGEN_DEVICE_FUNC inline Scalar log1p(const Scalar& x) {
+    EIGEN_STATIC_ASSERT_NON_INTEGER(Scalar)
+    typedef typename NumTraits<Scalar>::Real RealScalar;
+    EIGEN_USING_STD_MATH(log);
+    Scalar x1p = RealScalar(1) + x;
+    return numext::equal_strict(x1p, Scalar(1)) ? x : x * ( log(x1p) / (x1p - RealScalar(1)) );
+  }
+}
+
+template<typename Scalar>
+struct log1p_impl {
+  static inline Scalar run(const Scalar& x)
+  {
+    EIGEN_STATIC_ASSERT_NON_INTEGER(Scalar)
+    #if EIGEN_HAS_CXX11_MATH
+    using std::log1p;
+    #endif
+    using std_fallback::log1p;
+    return log1p(x);
+  }
+};
+
+
+template<typename Scalar>
+struct log1p_retval
+{
+  typedef Scalar type;
+};
+
+/****************************************************************************
+* Implementation of pow                                                  *
+****************************************************************************/
+
+template<typename ScalarX,typename ScalarY, bool IsInteger = NumTraits<ScalarX>::IsInteger&&NumTraits<ScalarY>::IsInteger>
+struct pow_impl
+{
+  //typedef Scalar retval;
+  typedef typename ScalarBinaryOpTraits<ScalarX,ScalarY,internal::scalar_pow_op<ScalarX,ScalarY> >::ReturnType result_type;
+  static EIGEN_DEVICE_FUNC inline result_type run(const ScalarX& x, const ScalarY& y)
+  {
+    EIGEN_USING_STD_MATH(pow);
+    return pow(x, y);
+  }
+};
+
+template<typename ScalarX,typename ScalarY>
+struct pow_impl<ScalarX,ScalarY, true>
+{
+  typedef ScalarX result_type;
+  static EIGEN_DEVICE_FUNC inline ScalarX run(ScalarX x, ScalarY y)
+  {
+    ScalarX res(1);
+    eigen_assert(!NumTraits<ScalarY>::IsSigned || y >= 0);
+    if(y & 1) res *= x;
+    y >>= 1;
+    while(y)
+    {
+      x *= x;
+      if(y&1) res *= x;
+      y >>= 1;
+    }
+    return res;
+  }
+};
+
+/****************************************************************************
+* Implementation of random                                               *
+****************************************************************************/
+
+template<typename Scalar,
+         bool IsComplex,
+         bool IsInteger>
+struct random_default_impl {};
+
+template<typename Scalar>
+struct random_impl : random_default_impl<Scalar, NumTraits<Scalar>::IsComplex, NumTraits<Scalar>::IsInteger> {};
+
+template<typename Scalar>
+struct random_retval
+{
+  typedef Scalar type;
+};
+
+template<typename Scalar> inline EIGEN_MATHFUNC_RETVAL(random, Scalar) random(const Scalar& x, const Scalar& y);
+template<typename Scalar> inline EIGEN_MATHFUNC_RETVAL(random, Scalar) random();
+
+template<typename Scalar>
+struct random_default_impl<Scalar, false, false>
+{
+  static inline Scalar run(const Scalar& x, const Scalar& y)
+  {
+    return x + (y-x) * Scalar(std::rand()) / Scalar(RAND_MAX);
+  }
+  static inline Scalar run()
+  {
+    return run(Scalar(NumTraits<Scalar>::IsSigned ? -1 : 0), Scalar(1));
+  }
+};
+
+enum {
+  meta_floor_log2_terminate,
+  meta_floor_log2_move_up,
+  meta_floor_log2_move_down,
+  meta_floor_log2_bogus
+};
+
+template<unsigned int n, int lower, int upper> struct meta_floor_log2_selector
+{
+  enum { middle = (lower + upper) / 2,
+         value = (upper <= lower + 1) ? int(meta_floor_log2_terminate)
+               : (n < (1 << middle)) ? int(meta_floor_log2_move_down)
+               : (n==0) ? int(meta_floor_log2_bogus)
+               : int(meta_floor_log2_move_up)
+  };
+};
+
+template<unsigned int n,
+         int lower = 0,
+         int upper = sizeof(unsigned int) * CHAR_BIT - 1,
+         int selector = meta_floor_log2_selector<n, lower, upper>::value>
+struct meta_floor_log2 {};
+
+template<unsigned int n, int lower, int upper>
+struct meta_floor_log2<n, lower, upper, meta_floor_log2_move_down>
+{
+  enum { value = meta_floor_log2<n, lower, meta_floor_log2_selector<n, lower, upper>::middle>::value };
+};
+
+template<unsigned int n, int lower, int upper>
+struct meta_floor_log2<n, lower, upper, meta_floor_log2_move_up>
+{
+  enum { value = meta_floor_log2<n, meta_floor_log2_selector<n, lower, upper>::middle, upper>::value };
+};
+
+template<unsigned int n, int lower, int upper>
+struct meta_floor_log2<n, lower, upper, meta_floor_log2_terminate>
+{
+  enum { value = (n >= ((unsigned int)(1) << (lower+1))) ? lower+1 : lower };
+};
+
+template<unsigned int n, int lower, int upper>
+struct meta_floor_log2<n, lower, upper, meta_floor_log2_bogus>
+{
+  // no value, error at compile time
+};
+
+template<typename Scalar>
+struct random_default_impl<Scalar, false, true>
+{
+  static inline Scalar run(const Scalar& x, const Scalar& y)
+  {
+    if (y <= x)
+      return x;
+    // ScalarU is the unsigned counterpart of Scalar, possibly Scalar itself.
+    typedef typename make_unsigned<Scalar>::type ScalarU;
+    // ScalarX is the widest of ScalarU and unsigned int.
+    // We'll deal only with ScalarX and unsigned int below thus avoiding signed
+    // types and arithmetic and signed overflows (which are undefined behavior).
+    typedef typename conditional<(ScalarU(-1) > unsigned(-1)), ScalarU, unsigned>::type ScalarX;
+    // The following difference doesn't overflow, provided our integer types are two's
+    // complement and have the same number of padding bits in signed and unsigned variants.
+    // This is the case in most modern implementations of C++.
+    ScalarX range = ScalarX(y) - ScalarX(x);
+    ScalarX offset = 0;
+    ScalarX divisor = 1;
+    ScalarX multiplier = 1;
+    const unsigned rand_max = RAND_MAX;
+    if (range <= rand_max) divisor = (rand_max + 1) / (range + 1);
+    else                   multiplier = 1 + range / (rand_max + 1);
+    // Rejection sampling.
+    do {
+      offset = (unsigned(std::rand()) * multiplier) / divisor;
+    } while (offset > range);
+    return Scalar(ScalarX(x) + offset);
+  }
+
+  static inline Scalar run()
+  {
+#ifdef EIGEN_MAKING_DOCS
+    return run(Scalar(NumTraits<Scalar>::IsSigned ? -10 : 0), Scalar(10));
+#else
+    enum { rand_bits = meta_floor_log2<(unsigned int)(RAND_MAX)+1>::value,
+           scalar_bits = sizeof(Scalar) * CHAR_BIT,
+           shift = EIGEN_PLAIN_ENUM_MAX(0, int(rand_bits) - int(scalar_bits)),
+           offset = NumTraits<Scalar>::IsSigned ? (1 << (EIGEN_PLAIN_ENUM_MIN(rand_bits,scalar_bits)-1)) : 0
+    };
+    return Scalar((std::rand() >> shift) - offset);
+#endif
+  }
+};
+
+template<typename Scalar>
+struct random_default_impl<Scalar, true, false>
+{
+  static inline Scalar run(const Scalar& x, const Scalar& y)
+  {
+    return Scalar(random(x.real(), y.real()),
+                  random(x.imag(), y.imag()));
+  }
+  static inline Scalar run()
+  {
+    typedef typename NumTraits<Scalar>::Real RealScalar;
+    return Scalar(random<RealScalar>(), random<RealScalar>());
+  }
+};
+
+template<typename Scalar>
+inline EIGEN_MATHFUNC_RETVAL(random, Scalar) random(const Scalar& x, const Scalar& y)
+{
+  return EIGEN_MATHFUNC_IMPL(random, Scalar)::run(x, y);
+}
+
+template<typename Scalar>
+inline EIGEN_MATHFUNC_RETVAL(random, Scalar) random()
+{
+  return EIGEN_MATHFUNC_IMPL(random, Scalar)::run();
+}
+
+// Implementatin of is* functions
+
+// std::is* do not work with fast-math and gcc, std::is* are available on MSVC 2013 and newer, as well as in clang.
+#if (EIGEN_HAS_CXX11_MATH && !(EIGEN_COMP_GNUC_STRICT && __FINITE_MATH_ONLY__)) || (EIGEN_COMP_MSVC>=1800) || (EIGEN_COMP_CLANG)
+#define EIGEN_USE_STD_FPCLASSIFY 1
+#else
+#define EIGEN_USE_STD_FPCLASSIFY 0
+#endif
+
+template<typename T>
+EIGEN_DEVICE_FUNC
+typename internal::enable_if<internal::is_integral<T>::value,bool>::type
+isnan_impl(const T&) { return false; }
+
+template<typename T>
+EIGEN_DEVICE_FUNC
+typename internal::enable_if<internal::is_integral<T>::value,bool>::type
+isinf_impl(const T&) { return false; }
+
+template<typename T>
+EIGEN_DEVICE_FUNC
+typename internal::enable_if<internal::is_integral<T>::value,bool>::type
+isfinite_impl(const T&) { return true; }
+
+template<typename T>
+EIGEN_DEVICE_FUNC
+typename internal::enable_if<(!internal::is_integral<T>::value)&&(!NumTraits<T>::IsComplex),bool>::type
+isfinite_impl(const T& x)
+{
+  #ifdef __CUDA_ARCH__
+    return (::isfinite)(x);
+  #elif EIGEN_USE_STD_FPCLASSIFY
+    using std::isfinite;
+    return isfinite EIGEN_NOT_A_MACRO (x);
+  #else
+    return x<=NumTraits<T>::highest() && x>=NumTraits<T>::lowest();
+  #endif
+}
+
+template<typename T>
+EIGEN_DEVICE_FUNC
+typename internal::enable_if<(!internal::is_integral<T>::value)&&(!NumTraits<T>::IsComplex),bool>::type
+isinf_impl(const T& x)
+{
+  #ifdef __CUDA_ARCH__
+    return (::isinf)(x);
+  #elif EIGEN_USE_STD_FPCLASSIFY
+    using std::isinf;
+    return isinf EIGEN_NOT_A_MACRO (x);
+  #else
+    return x>NumTraits<T>::highest() || x<NumTraits<T>::lowest();
+  #endif
+}
+
+template<typename T>
+EIGEN_DEVICE_FUNC
+typename internal::enable_if<(!internal::is_integral<T>::value)&&(!NumTraits<T>::IsComplex),bool>::type
+isnan_impl(const T& x)
+{
+  #ifdef __CUDA_ARCH__
+    return (::isnan)(x);
+  #elif EIGEN_USE_STD_FPCLASSIFY
+    using std::isnan;
+    return isnan EIGEN_NOT_A_MACRO (x);
+  #else
+    return x != x;
+  #endif
+}
+
+#if (!EIGEN_USE_STD_FPCLASSIFY)
+
+#if EIGEN_COMP_MSVC
+
+template<typename T> EIGEN_DEVICE_FUNC bool isinf_msvc_helper(T x)
+{
+  return _fpclass(x)==_FPCLASS_NINF || _fpclass(x)==_FPCLASS_PINF;
+}
+
+//MSVC defines a _isnan builtin function, but for double only
+EIGEN_DEVICE_FUNC inline bool isnan_impl(const long double& x) { return _isnan(x)!=0; }
+EIGEN_DEVICE_FUNC inline bool isnan_impl(const double& x)      { return _isnan(x)!=0; }
+EIGEN_DEVICE_FUNC inline bool isnan_impl(const float& x)       { return _isnan(x)!=0; }
+
+EIGEN_DEVICE_FUNC inline bool isinf_impl(const long double& x) { return isinf_msvc_helper(x); }
+EIGEN_DEVICE_FUNC inline bool isinf_impl(const double& x)      { return isinf_msvc_helper(x); }
+EIGEN_DEVICE_FUNC inline bool isinf_impl(const float& x)       { return isinf_msvc_helper(x); }
+
+#elif (defined __FINITE_MATH_ONLY__ && __FINITE_MATH_ONLY__ && EIGEN_COMP_GNUC)
+
+#if EIGEN_GNUC_AT_LEAST(5,0)
+  #define EIGEN_TMP_NOOPT_ATTRIB EIGEN_DEVICE_FUNC inline __attribute__((optimize("no-finite-math-only")))
+#else
+  // NOTE the inline qualifier and noinline attribute are both needed: the former is to avoid linking issue (duplicate symbol),
+  //      while the second prevent too aggressive optimizations in fast-math mode:
+  #define EIGEN_TMP_NOOPT_ATTRIB EIGEN_DEVICE_FUNC inline __attribute__((noinline,optimize("no-finite-math-only")))
+#endif
+
+template<> EIGEN_TMP_NOOPT_ATTRIB bool isnan_impl(const long double& x) { return __builtin_isnan(x); }
+template<> EIGEN_TMP_NOOPT_ATTRIB bool isnan_impl(const double& x)      { return __builtin_isnan(x); }
+template<> EIGEN_TMP_NOOPT_ATTRIB bool isnan_impl(const float& x)       { return __builtin_isnan(x); }
+template<> EIGEN_TMP_NOOPT_ATTRIB bool isinf_impl(const double& x)      { return __builtin_isinf(x); }
+template<> EIGEN_TMP_NOOPT_ATTRIB bool isinf_impl(const float& x)       { return __builtin_isinf(x); }
+template<> EIGEN_TMP_NOOPT_ATTRIB bool isinf_impl(const long double& x) { return __builtin_isinf(x); }
+
+#undef EIGEN_TMP_NOOPT_ATTRIB
+
+#endif
+
+#endif
+
+// The following overload are defined at the end of this file
+template<typename T> EIGEN_DEVICE_FUNC bool isfinite_impl(const std::complex<T>& x);
+template<typename T> EIGEN_DEVICE_FUNC bool isnan_impl(const std::complex<T>& x);
+template<typename T> EIGEN_DEVICE_FUNC bool isinf_impl(const std::complex<T>& x);
+
+template<typename T> T generic_fast_tanh_float(const T& a_x);
+
+} // end namespace internal
+
+/****************************************************************************
+* Generic math functions                                                    *
+****************************************************************************/
+
+namespace numext {
+
+#ifndef __CUDA_ARCH__
+template<typename T>
+EIGEN_DEVICE_FUNC
+EIGEN_ALWAYS_INLINE T mini(const T& x, const T& y)
+{
+  EIGEN_USING_STD_MATH(min);
+  return min EIGEN_NOT_A_MACRO (x,y);
+}
+
+template<typename T>
+EIGEN_DEVICE_FUNC
+EIGEN_ALWAYS_INLINE T maxi(const T& x, const T& y)
+{
+  EIGEN_USING_STD_MATH(max);
+  return max EIGEN_NOT_A_MACRO (x,y);
+}
+#else
+template<typename T>
+EIGEN_DEVICE_FUNC
+EIGEN_ALWAYS_INLINE T mini(const T& x, const T& y)
+{
+  return y < x ? y : x;
+}
+template<>
+EIGEN_DEVICE_FUNC
+EIGEN_ALWAYS_INLINE float mini(const float& x, const float& y)
+{
+  return fminf(x, y);
+}
+template<typename T>
+EIGEN_DEVICE_FUNC
+EIGEN_ALWAYS_INLINE T maxi(const T& x, const T& y)
+{
+  return x < y ? y : x;
+}
+template<>
+EIGEN_DEVICE_FUNC
+EIGEN_ALWAYS_INLINE float maxi(const float& x, const float& y)
+{
+  return fmaxf(x, y);
+}
+#endif
+
+
+template<typename Scalar>
+EIGEN_DEVICE_FUNC
+inline EIGEN_MATHFUNC_RETVAL(real, Scalar) real(const Scalar& x)
+{
+  return EIGEN_MATHFUNC_IMPL(real, Scalar)::run(x);
+}
+
+template<typename Scalar>
+EIGEN_DEVICE_FUNC
+inline typename internal::add_const_on_value_type< EIGEN_MATHFUNC_RETVAL(real_ref, Scalar) >::type real_ref(const Scalar& x)
+{
+  return internal::real_ref_impl<Scalar>::run(x);
+}
+
+template<typename Scalar>
+EIGEN_DEVICE_FUNC
+inline EIGEN_MATHFUNC_RETVAL(real_ref, Scalar) real_ref(Scalar& x)
+{
+  return EIGEN_MATHFUNC_IMPL(real_ref, Scalar)::run(x);
+}
+
+template<typename Scalar>
+EIGEN_DEVICE_FUNC
+inline EIGEN_MATHFUNC_RETVAL(imag, Scalar) imag(const Scalar& x)
+{
+  return EIGEN_MATHFUNC_IMPL(imag, Scalar)::run(x);
+}
+
+template<typename Scalar>
+EIGEN_DEVICE_FUNC
+inline EIGEN_MATHFUNC_RETVAL(arg, Scalar) arg(const Scalar& x)
+{
+  return EIGEN_MATHFUNC_IMPL(arg, Scalar)::run(x);
+}
+
+template<typename Scalar>
+EIGEN_DEVICE_FUNC
+inline typename internal::add_const_on_value_type< EIGEN_MATHFUNC_RETVAL(imag_ref, Scalar) >::type imag_ref(const Scalar& x)
+{
+  return internal::imag_ref_impl<Scalar>::run(x);
+}
+
+template<typename Scalar>
+EIGEN_DEVICE_FUNC
+inline EIGEN_MATHFUNC_RETVAL(imag_ref, Scalar) imag_ref(Scalar& x)
+{
+  return EIGEN_MATHFUNC_IMPL(imag_ref, Scalar)::run(x);
+}
+
+template<typename Scalar>
+EIGEN_DEVICE_FUNC
+inline EIGEN_MATHFUNC_RETVAL(conj, Scalar) conj(const Scalar& x)
+{
+  return EIGEN_MATHFUNC_IMPL(conj, Scalar)::run(x);
+}
+
+template<typename Scalar>
+EIGEN_DEVICE_FUNC
+inline EIGEN_MATHFUNC_RETVAL(abs2, Scalar) abs2(const Scalar& x)
+{
+  return EIGEN_MATHFUNC_IMPL(abs2, Scalar)::run(x);
+}
+
+EIGEN_DEVICE_FUNC
+inline bool abs2(bool x) { return x; }
+
+template<typename Scalar>
+EIGEN_DEVICE_FUNC
+inline EIGEN_MATHFUNC_RETVAL(norm1, Scalar) norm1(const Scalar& x)
+{
+  return EIGEN_MATHFUNC_IMPL(norm1, Scalar)::run(x);
+}
+
+template<typename Scalar>
+EIGEN_DEVICE_FUNC
+inline EIGEN_MATHFUNC_RETVAL(hypot, Scalar) hypot(const Scalar& x, const Scalar& y)
+{
+  return EIGEN_MATHFUNC_IMPL(hypot, Scalar)::run(x, y);
+}
+
+template<typename Scalar>
+EIGEN_DEVICE_FUNC
+inline EIGEN_MATHFUNC_RETVAL(log1p, Scalar) log1p(const Scalar& x)
+{
+  return EIGEN_MATHFUNC_IMPL(log1p, Scalar)::run(x);
+}
+
+#ifdef __CUDACC__
+template<> EIGEN_DEVICE_FUNC EIGEN_ALWAYS_INLINE
+float log1p(const float &x) { return ::log1pf(x); }
+
+template<> EIGEN_DEVICE_FUNC EIGEN_ALWAYS_INLINE
+double log1p(const double &x) { return ::log1p(x); }
+#endif
+
+template<typename ScalarX,typename ScalarY>
+EIGEN_DEVICE_FUNC
+inline typename internal::pow_impl<ScalarX,ScalarY>::result_type pow(const ScalarX& x, const ScalarY& y)
+{
+  return internal::pow_impl<ScalarX,ScalarY>::run(x, y);
+}
+
+template<typename T> EIGEN_DEVICE_FUNC bool (isnan)   (const T &x) { return internal::isnan_impl(x); }
+template<typename T> EIGEN_DEVICE_FUNC bool (isinf)   (const T &x) { return internal::isinf_impl(x); }
+template<typename T> EIGEN_DEVICE_FUNC bool (isfinite)(const T &x) { return internal::isfinite_impl(x); }
+
+template<typename Scalar>
+EIGEN_DEVICE_FUNC
+inline EIGEN_MATHFUNC_RETVAL(round, Scalar) round(const Scalar& x)
+{
+  return EIGEN_MATHFUNC_IMPL(round, Scalar)::run(x);
+}
+
+template<typename T>
+EIGEN_DEVICE_FUNC
+T (floor)(const T& x)
+{
+  EIGEN_USING_STD_MATH(floor);
+  return floor(x);
+}
+
+#ifdef __CUDACC__
+template<> EIGEN_DEVICE_FUNC EIGEN_ALWAYS_INLINE
+float floor(const float &x) { return ::floorf(x); }
+
+template<> EIGEN_DEVICE_FUNC EIGEN_ALWAYS_INLINE
+double floor(const double &x) { return ::floor(x); }
+#endif
+
+template<typename T>
+EIGEN_DEVICE_FUNC
+T (ceil)(const T& x)
+{
+  EIGEN_USING_STD_MATH(ceil);
+  return ceil(x);
+}
+
+#ifdef __CUDACC__
+template<> EIGEN_DEVICE_FUNC EIGEN_ALWAYS_INLINE
+float ceil(const float &x) { return ::ceilf(x); }
+
+template<> EIGEN_DEVICE_FUNC EIGEN_ALWAYS_INLINE
+double ceil(const double &x) { return ::ceil(x); }
+#endif
+
+
+/** Log base 2 for 32 bits positive integers.
+  * Conveniently returns 0 for x==0. */
+inline int log2(int x)
+{
+  eigen_assert(x>=0);
+  unsigned int v(x);
+  static const int table[32] = { 0, 9, 1, 10, 13, 21, 2, 29, 11, 14, 16, 18, 22, 25, 3, 30, 8, 12, 20, 28, 15, 17, 24, 7, 19, 27, 23, 6, 26, 5, 4, 31 };
+  v |= v >> 1;
+  v |= v >> 2;
+  v |= v >> 4;
+  v |= v >> 8;
+  v |= v >> 16;
+  return table[(v * 0x07C4ACDDU) >> 27];
+}
+
+/** \returns the square root of \a x.
+  *
+  * It is essentially equivalent to
+  * \code using std::sqrt; return sqrt(x); \endcode
+  * but slightly faster for float/double and some compilers (e.g., gcc), thanks to
+  * specializations when SSE is enabled.
+  *
+  * It's usage is justified in performance critical functions, like norm/normalize.
+  */
+template<typename T>
+EIGEN_DEVICE_FUNC EIGEN_ALWAYS_INLINE
+T sqrt(const T &x)
+{
+  EIGEN_USING_STD_MATH(sqrt);
+  return sqrt(x);
+}
+
+template<typename T>
+EIGEN_DEVICE_FUNC EIGEN_ALWAYS_INLINE
+T log(const T &x) {
+  EIGEN_USING_STD_MATH(log);
+  return log(x);
+}
+
+#ifdef __CUDACC__
+template<> EIGEN_DEVICE_FUNC EIGEN_ALWAYS_INLINE
+float log(const float &x) { return ::logf(x); }
+
+template<> EIGEN_DEVICE_FUNC EIGEN_ALWAYS_INLINE
+double log(const double &x) { return ::log(x); }
+#endif
+
+template<typename T>
+EIGEN_DEVICE_FUNC EIGEN_ALWAYS_INLINE
+typename internal::enable_if<NumTraits<T>::IsSigned || NumTraits<T>::IsComplex,typename NumTraits<T>::Real>::type
+abs(const T &x) {
+  EIGEN_USING_STD_MATH(abs);
+  return abs(x);
+}
+
+template<typename T>
+EIGEN_DEVICE_FUNC EIGEN_ALWAYS_INLINE
+typename internal::enable_if<!(NumTraits<T>::IsSigned || NumTraits<T>::IsComplex),typename NumTraits<T>::Real>::type
+abs(const T &x) {
+  return x;
+}
+
+#if defined(__SYCL_DEVICE_ONLY__)
+EIGEN_ALWAYS_INLINE float   abs(float x) { return cl::sycl::fabs(x); }
+EIGEN_ALWAYS_INLINE double  abs(double x) { return cl::sycl::fabs(x); }
+#endif // defined(__SYCL_DEVICE_ONLY__)
+
+#ifdef __CUDACC__
+template<> EIGEN_DEVICE_FUNC EIGEN_ALWAYS_INLINE
+float abs(const float &x) { return ::fabsf(x); }
+
+template<> EIGEN_DEVICE_FUNC EIGEN_ALWAYS_INLINE
+double abs(const double &x) { return ::fabs(x); }
+
+template <> EIGEN_DEVICE_FUNC EIGEN_ALWAYS_INLINE
+float abs(const std::complex<float>& x) {
+  return ::hypotf(x.real(), x.imag());
+}
+
+template <> EIGEN_DEVICE_FUNC EIGEN_ALWAYS_INLINE
+double abs(const std::complex<double>& x) {
+  return ::hypot(x.real(), x.imag());
+}
+#endif
+
+template<typename T>
+EIGEN_DEVICE_FUNC EIGEN_ALWAYS_INLINE
+T exp(const T &x) {
+  EIGEN_USING_STD_MATH(exp);
+  return exp(x);
+}
+
+#ifdef __CUDACC__
+template<> EIGEN_DEVICE_FUNC EIGEN_ALWAYS_INLINE
+float exp(const float &x) { return ::expf(x); }
+
+template<> EIGEN_DEVICE_FUNC EIGEN_ALWAYS_INLINE
+double exp(const double &x) { return ::exp(x); }
+#endif
+
+template<typename T>
+EIGEN_DEVICE_FUNC EIGEN_ALWAYS_INLINE
+T cos(const T &x) {
+  EIGEN_USING_STD_MATH(cos);
+  return cos(x);
+}
+
+#ifdef __CUDACC__
+template<> EIGEN_DEVICE_FUNC EIGEN_ALWAYS_INLINE
+float cos(const float &x) { return ::cosf(x); }
+
+template<> EIGEN_DEVICE_FUNC EIGEN_ALWAYS_INLINE
+double cos(const double &x) { return ::cos(x); }
+#endif
+
+template<typename T>
+EIGEN_DEVICE_FUNC EIGEN_ALWAYS_INLINE
+T sin(const T &x) {
+  EIGEN_USING_STD_MATH(sin);
+  return sin(x);
+}
+
+#ifdef __CUDACC__
+template<> EIGEN_DEVICE_FUNC EIGEN_ALWAYS_INLINE
+float sin(const float &x) { return ::sinf(x); }
+
+template<> EIGEN_DEVICE_FUNC EIGEN_ALWAYS_INLINE
+double sin(const double &x) { return ::sin(x); }
+#endif
+
+template<typename T>
+EIGEN_DEVICE_FUNC EIGEN_ALWAYS_INLINE
+T tan(const T &x) {
+  EIGEN_USING_STD_MATH(tan);
+  return tan(x);
+}
+
+#ifdef __CUDACC__
+template<> EIGEN_DEVICE_FUNC EIGEN_ALWAYS_INLINE
+float tan(const float &x) { return ::tanf(x); }
+
+template<> EIGEN_DEVICE_FUNC EIGEN_ALWAYS_INLINE
+double tan(const double &x) { return ::tan(x); }
+#endif
+
+template<typename T>
+EIGEN_DEVICE_FUNC EIGEN_ALWAYS_INLINE
+T acos(const T &x) {
+  EIGEN_USING_STD_MATH(acos);
+  return acos(x);
+}
+
+#ifdef __CUDACC__
+template<> EIGEN_DEVICE_FUNC EIGEN_ALWAYS_INLINE
+float acos(const float &x) { return ::acosf(x); }
+
+template<> EIGEN_DEVICE_FUNC EIGEN_ALWAYS_INLINE
+double acos(const double &x) { return ::acos(x); }
+#endif
+
+template<typename T>
+EIGEN_DEVICE_FUNC EIGEN_ALWAYS_INLINE
+T asin(const T &x) {
+  EIGEN_USING_STD_MATH(asin);
+  return asin(x);
+}
+
+#ifdef __CUDACC__
+template<> EIGEN_DEVICE_FUNC EIGEN_ALWAYS_INLINE
+float asin(const float &x) { return ::asinf(x); }
+
+template<> EIGEN_DEVICE_FUNC EIGEN_ALWAYS_INLINE
+double asin(const double &x) { return ::asin(x); }
+#endif
+
+template<typename T>
+EIGEN_DEVICE_FUNC EIGEN_ALWAYS_INLINE
+T atan(const T &x) {
+  EIGEN_USING_STD_MATH(atan);
+  return atan(x);
+}
+
+#ifdef __CUDACC__
+template<> EIGEN_DEVICE_FUNC EIGEN_ALWAYS_INLINE
+float atan(const float &x) { return ::atanf(x); }
+
+template<> EIGEN_DEVICE_FUNC EIGEN_ALWAYS_INLINE
+double atan(const double &x) { return ::atan(x); }
+#endif
+
+
+template<typename T>
+EIGEN_DEVICE_FUNC EIGEN_ALWAYS_INLINE
+T cosh(const T &x) {
+  EIGEN_USING_STD_MATH(cosh);
+  return cosh(x);
+}
+
+#ifdef __CUDACC__
+template<> EIGEN_DEVICE_FUNC EIGEN_ALWAYS_INLINE
+float cosh(const float &x) { return ::coshf(x); }
+
+template<> EIGEN_DEVICE_FUNC EIGEN_ALWAYS_INLINE
+double cosh(const double &x) { return ::cosh(x); }
+#endif
+
+template<typename T>
+EIGEN_DEVICE_FUNC EIGEN_ALWAYS_INLINE
+T sinh(const T &x) {
+  EIGEN_USING_STD_MATH(sinh);
+  return sinh(x);
+}
+
+#ifdef __CUDACC__
+template<> EIGEN_DEVICE_FUNC EIGEN_ALWAYS_INLINE
+float sinh(const float &x) { return ::sinhf(x); }
+
+template<> EIGEN_DEVICE_FUNC EIGEN_ALWAYS_INLINE
+double sinh(const double &x) { return ::sinh(x); }
+#endif
+
+template<typename T>
+EIGEN_DEVICE_FUNC EIGEN_ALWAYS_INLINE
+T tanh(const T &x) {
+  EIGEN_USING_STD_MATH(tanh);
+  return tanh(x);
+}
+
+#if (!defined(__CUDACC__)) && EIGEN_FAST_MATH
+EIGEN_DEVICE_FUNC EIGEN_ALWAYS_INLINE
+float tanh(float x) { return internal::generic_fast_tanh_float(x); }
+#endif
+
+#ifdef __CUDACC__
+template<> EIGEN_DEVICE_FUNC EIGEN_ALWAYS_INLINE
+float tanh(const float &x) { return ::tanhf(x); }
+
+template<> EIGEN_DEVICE_FUNC EIGEN_ALWAYS_INLINE
+double tanh(const double &x) { return ::tanh(x); }
+#endif
+
+template <typename T>
+EIGEN_DEVICE_FUNC EIGEN_ALWAYS_INLINE
+T fmod(const T& a, const T& b) {
+  EIGEN_USING_STD_MATH(fmod);
+  return fmod(a, b);
+}
+
+#ifdef __CUDACC__
+template <>
+EIGEN_DEVICE_FUNC EIGEN_ALWAYS_INLINE
+float fmod(const float& a, const float& b) {
+  return ::fmodf(a, b);
+}
+
+template <>
+EIGEN_DEVICE_FUNC EIGEN_ALWAYS_INLINE
+double fmod(const double& a, const double& b) {
+  return ::fmod(a, b);
+}
+#endif
+
+} // end namespace numext
+
+namespace internal {
+
+template<typename T>
+EIGEN_DEVICE_FUNC bool isfinite_impl(const std::complex<T>& x)
+{
+  return (numext::isfinite)(numext::real(x)) && (numext::isfinite)(numext::imag(x));
+}
+
+template<typename T>
+EIGEN_DEVICE_FUNC bool isnan_impl(const std::complex<T>& x)
+{
+  return (numext::isnan)(numext::real(x)) || (numext::isnan)(numext::imag(x));
+}
+
+template<typename T>
+EIGEN_DEVICE_FUNC bool isinf_impl(const std::complex<T>& x)
+{
+  return ((numext::isinf)(numext::real(x)) || (numext::isinf)(numext::imag(x))) && (!(numext::isnan)(x));
+}
+
+/****************************************************************************
+* Implementation of fuzzy comparisons                                       *
+****************************************************************************/
+
+template<typename Scalar,
+         bool IsComplex,
+         bool IsInteger>
+struct scalar_fuzzy_default_impl {};
+
+template<typename Scalar>
+struct scalar_fuzzy_default_impl<Scalar, false, false>
+{
+  typedef typename NumTraits<Scalar>::Real RealScalar;
+  template<typename OtherScalar> EIGEN_DEVICE_FUNC
+  static inline bool isMuchSmallerThan(const Scalar& x, const OtherScalar& y, const RealScalar& prec)
+  {
+    return numext::abs(x) <= numext::abs(y) * prec;
+  }
+  EIGEN_DEVICE_FUNC
+  static inline bool isApprox(const Scalar& x, const Scalar& y, const RealScalar& prec)
+  {
+    return numext::abs(x - y) <= numext::mini(numext::abs(x), numext::abs(y)) * prec;
+  }
+  EIGEN_DEVICE_FUNC
+  static inline bool isApproxOrLessThan(const Scalar& x, const Scalar& y, const RealScalar& prec)
+  {
+    return x <= y || isApprox(x, y, prec);
+  }
+};
+
+template<typename Scalar>
+struct scalar_fuzzy_default_impl<Scalar, false, true>
+{
+  typedef typename NumTraits<Scalar>::Real RealScalar;
+  template<typename OtherScalar> EIGEN_DEVICE_FUNC
+  static inline bool isMuchSmallerThan(const Scalar& x, const Scalar&, const RealScalar&)
+  {
+    return x == Scalar(0);
+  }
+  EIGEN_DEVICE_FUNC
+  static inline bool isApprox(const Scalar& x, const Scalar& y, const RealScalar&)
+  {
+    return x == y;
+  }
+  EIGEN_DEVICE_FUNC
+  static inline bool isApproxOrLessThan(const Scalar& x, const Scalar& y, const RealScalar&)
+  {
+    return x <= y;
+  }
+};
+
+template<typename Scalar>
+struct scalar_fuzzy_default_impl<Scalar, true, false>
+{
+  typedef typename NumTraits<Scalar>::Real RealScalar;
+  template<typename OtherScalar> EIGEN_DEVICE_FUNC
+  static inline bool isMuchSmallerThan(const Scalar& x, const OtherScalar& y, const RealScalar& prec)
+  {
+    return numext::abs2(x) <= numext::abs2(y) * prec * prec;
+  }
+  EIGEN_DEVICE_FUNC
+  static inline bool isApprox(const Scalar& x, const Scalar& y, const RealScalar& prec)
+  {
+    return numext::abs2(x - y) <= numext::mini(numext::abs2(x), numext::abs2(y)) * prec * prec;
+  }
+};
+
+template<typename Scalar>
+struct scalar_fuzzy_impl : scalar_fuzzy_default_impl<Scalar, NumTraits<Scalar>::IsComplex, NumTraits<Scalar>::IsInteger> {};
+
+template<typename Scalar, typename OtherScalar> EIGEN_DEVICE_FUNC
+inline bool isMuchSmallerThan(const Scalar& x, const OtherScalar& y,
+                              const typename NumTraits<Scalar>::Real &precision = NumTraits<Scalar>::dummy_precision())
+{
+  return scalar_fuzzy_impl<Scalar>::template isMuchSmallerThan<OtherScalar>(x, y, precision);
+}
+
+template<typename Scalar> EIGEN_DEVICE_FUNC
+inline bool isApprox(const Scalar& x, const Scalar& y,
+                     const typename NumTraits<Scalar>::Real &precision = NumTraits<Scalar>::dummy_precision())
+{
+  return scalar_fuzzy_impl<Scalar>::isApprox(x, y, precision);
+}
+
+template<typename Scalar> EIGEN_DEVICE_FUNC
+inline bool isApproxOrLessThan(const Scalar& x, const Scalar& y,
+                               const typename NumTraits<Scalar>::Real &precision = NumTraits<Scalar>::dummy_precision())
+{
+  return scalar_fuzzy_impl<Scalar>::isApproxOrLessThan(x, y, precision);
+}
+
+/******************************************
+***  The special case of the  bool type ***
+******************************************/
+
+template<> struct random_impl<bool>
+{
+  static inline bool run()
+  {
+    return random<int>(0,1)==0 ? false : true;
+  }
+};
+
+template<> struct scalar_fuzzy_impl<bool>
+{
+  typedef bool RealScalar;
+  
+  template<typename OtherScalar> EIGEN_DEVICE_FUNC
+  static inline bool isMuchSmallerThan(const bool& x, const bool&, const bool&)
+  {
+    return !x;
+  }
+  
+  EIGEN_DEVICE_FUNC
+  static inline bool isApprox(bool x, bool y, bool)
+  {
+    return x == y;
+  }
+
+  EIGEN_DEVICE_FUNC
+  static inline bool isApproxOrLessThan(const bool& x, const bool& y, const bool&)
+  {
+    return (!x) || y;
+  }
+  
+};
+
+  
+} // end namespace internal
+
+} // end namespace Eigen
+
+#endif // EIGEN_MATHFUNCTIONS_H
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h	(revision 3761)
@@ -0,0 +1,1037 @@
+// This file is part of Eigen, a lightweight C++ template library
+// for linear algebra.
+//
+// Copyright (C) 2008-2009 Gael Guennebaud <gael.guennebaud@inria.fr>
+// Copyright (C) 2006-2008 Benoit Jacob <jacob.benoit.1@gmail.com>
+//
+// This Source Code Form is subject to the terms of the Mozilla
+// Public License v. 2.0. If a copy of the MPL was not distributed
+// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
+
+#ifndef EIGEN_DENSESTORAGEBASE_H
+#define EIGEN_DENSESTORAGEBASE_H
+
+#if defined(EIGEN_INITIALIZE_MATRICES_BY_ZERO)
+# define EIGEN_INITIALIZE_COEFFS
+# define EIGEN_INITIALIZE_COEFFS_IF_THAT_OPTION_IS_ENABLED for(int i=0;i<base().size();++i) coeffRef(i)=Scalar(0);
+#elif defined(EIGEN_INITIALIZE_MATRICES_BY_NAN)
+# define EIGEN_INITIALIZE_COEFFS
+# define EIGEN_INITIALIZE_COEFFS_IF_THAT_OPTION_IS_ENABLED for(int i=0;i<base().size();++i) coeffRef(i)=std::numeric_limits<Scalar>::quiet_NaN();
+#else
+# undef EIGEN_INITIALIZE_COEFFS
+# define EIGEN_INITIALIZE_COEFFS_IF_THAT_OPTION_IS_ENABLED
+#endif
+
+namespace Eigen {
+
+namespace internal {
+
+template<int MaxSizeAtCompileTime> struct check_rows_cols_for_overflow {
+  template<typename Index>
+  EIGEN_DEVICE_FUNC
+  static EIGEN_ALWAYS_INLINE void run(Index, Index)
+  {
+  }
+};
+
+template<> struct check_rows_cols_for_overflow<Dynamic> {
+  template<typename Index>
+  EIGEN_DEVICE_FUNC
+  static EIGEN_ALWAYS_INLINE void run(Index rows, Index cols)
+  {
+    // http://hg.mozilla.org/mozilla-central/file/6c8a909977d3/xpcom/ds/CheckedInt.h#l242
+    // we assume Index is signed
+    Index max_index = (std::size_t(1) << (8 * sizeof(Index) - 1)) - 1; // assume Index is signed
+    bool error = (rows == 0 || cols == 0) ? false
+               : (rows > max_index / cols);
+    if (error)
+      throw_std_bad_alloc();
+  }
+};
+
+template <typename Derived,
+          typename OtherDerived = Derived,
+          bool IsVector = bool(Derived::IsVectorAtCompileTime) && bool(OtherDerived::IsVectorAtCompileTime)>
+struct conservative_resize_like_impl;
+
+template<typename MatrixTypeA, typename MatrixTypeB, bool SwapPointers> struct matrix_swap_impl;
+
+} // end namespace internal
+
+#ifdef EIGEN_PARSED_BY_DOXYGEN
+namespace doxygen {
+
+// This is a workaround to doxygen not being able to understand the inheritance logic
+// when it is hidden by the dense_xpr_base helper struct.
+// Moreover, doxygen fails to include members that are not documented in the declaration body of
+// MatrixBase if we inherits MatrixBase<Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> >,
+// this is why we simply inherits MatrixBase, though this does not make sense.
+
+/** This class is just a workaround for Doxygen and it does not not actually exist. */
+template<typename Derived> struct dense_xpr_base_dispatcher;
+/** This class is just a workaround for Doxygen and it does not not actually exist. */
+template<typename _Scalar, int _Rows, int _Cols, int _Options, int _MaxRows, int _MaxCols>
+struct dense_xpr_base_dispatcher<Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> >
+    : public MatrixBase {};
+/** This class is just a workaround for Doxygen and it does not not actually exist. */
+template<typename _Scalar, int _Rows, int _Cols, int _Options, int _MaxRows, int _MaxCols>
+struct dense_xpr_base_dispatcher<Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> >
+    : public ArrayBase {};
+
+} // namespace doxygen
+
+/** \class PlainObjectBase
+  * \ingroup Core_Module
+  * \brief %Dense storage base class for matrices and arrays.
+  *
+  * This class can be extended with the help of the plugin mechanism described on the page
+  * \ref TopicCustomizing_Plugins by defining the preprocessor symbol \c EIGEN_PLAINOBJECTBASE_PLUGIN.
+  *
+  * \tparam Derived is the derived type, e.g., a Matrix or Array
+  *
+  * \sa \ref TopicClassHierarchy
+  */
+template<typename Derived>
+class PlainObjectBase : public doxygen::dense_xpr_base_dispatcher<Derived>
+#else
+template<typename Derived>
+class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
+#endif
+{
+  public:
+    enum { Options = internal::traits<Derived>::Options };
+    typedef typename internal::dense_xpr_base<Derived>::type Base;
+
+    typedef typename internal::traits<Derived>::StorageKind StorageKind;
+    typedef typename internal::traits<Derived>::Scalar Scalar;
+    
+    typedef typename internal::packet_traits<Scalar>::type PacketScalar;
+    typedef typename NumTraits<Scalar>::Real RealScalar;
+    typedef Derived DenseType;
+
+    using Base::RowsAtCompileTime;
+    using Base::ColsAtCompileTime;
+    using Base::SizeAtCompileTime;
+    using Base::MaxRowsAtCompileTime;
+    using Base::MaxColsAtCompileTime;
+    using Base::MaxSizeAtCompileTime;
+    using Base::IsVectorAtCompileTime;
+    using Base::Flags;
+
+    template<typename PlainObjectType, int MapOptions, typename StrideType> friend class Eigen::Map;
+    friend  class Eigen::Map<Derived, Unaligned>;
+    typedef Eigen::Map<Derived, Unaligned>  MapType;
+    friend  class Eigen::Map<const Derived, Unaligned>;
+    typedef const Eigen::Map<const Derived, Unaligned> ConstMapType;
+#if EIGEN_MAX_ALIGN_BYTES>0
+    // for EIGEN_MAX_ALIGN_BYTES==0, AlignedMax==Unaligned, and many compilers generate warnings for friend-ing a class twice.
+    friend  class Eigen::Map<Derived, AlignedMax>;
+    friend  class Eigen::Map<const Derived, AlignedMax>;
+#endif
+    typedef Eigen::Map<Derived, AlignedMax> AlignedMapType;
+    typedef const Eigen::Map<const Derived, AlignedMax> ConstAlignedMapType;
+    template<typename StrideType> struct StridedMapType { typedef Eigen::Map<Derived, Unaligned, StrideType> type; };
+    template<typename StrideType> struct StridedConstMapType { typedef Eigen::Map<const Derived, Unaligned, StrideType> type; };
+    template<typename StrideType> struct StridedAlignedMapType { typedef Eigen::Map<Derived, AlignedMax, StrideType> type; };
+    template<typename StrideType> struct StridedConstAlignedMapType { typedef Eigen::Map<const Derived, AlignedMax, StrideType> type; };
+
+  protected:
+    DenseStorage<Scalar, Base::MaxSizeAtCompileTime, Base::RowsAtCompileTime, Base::ColsAtCompileTime, Options> m_storage;
+
+  public:
+    enum { NeedsToAlign = (SizeAtCompileTime != Dynamic) && (internal::traits<Derived>::Alignment>0) };
+    EIGEN_MAKE_ALIGNED_OPERATOR_NEW_IF(NeedsToAlign)
+
+    EIGEN_DEVICE_FUNC
+    Base& base() { return *static_cast<Base*>(this); }
+    EIGEN_DEVICE_FUNC
+    const Base& base() const { return *static_cast<const Base*>(this); }
+
+    EIGEN_DEVICE_FUNC
+    EIGEN_STRONG_INLINE Index rows() const { return m_storage.rows(); }
+    EIGEN_DEVICE_FUNC
+    EIGEN_STRONG_INLINE Index cols() const { return m_storage.cols(); }
+
+    /** This is an overloaded version of DenseCoeffsBase<Derived,ReadOnlyAccessors>::coeff(Index,Index) const
+      * provided to by-pass the creation of an evaluator of the expression, thus saving compilation efforts.
+      *
+      * See DenseCoeffsBase<Derived,ReadOnlyAccessors>::coeff(Index) const for details. */
+    EIGEN_DEVICE_FUNC
+    EIGEN_STRONG_INLINE const Scalar& coeff(Index rowId, Index colId) const
+    {
+      if(Flags & RowMajorBit)
+        return m_storage.data()[colId + rowId * m_storage.cols()];
+      else // column-major
+        return m_storage.data()[rowId + colId * m_storage.rows()];
+    }
+
+    /** This is an overloaded version of DenseCoeffsBase<Derived,ReadOnlyAccessors>::coeff(Index) const
+      * provided to by-pass the creation of an evaluator of the expression, thus saving compilation efforts.
+      *
+      * See DenseCoeffsBase<Derived,ReadOnlyAccessors>::coeff(Index) const for details. */
+    EIGEN_DEVICE_FUNC
+    EIGEN_STRONG_INLINE const Scalar& coeff(Index index) const
+    {
+      return m_storage.data()[index];
+    }
+
+    /** This is an overloaded version of DenseCoeffsBase<Derived,WriteAccessors>::coeffRef(Index,Index) const
+      * provided to by-pass the creation of an evaluator of the expression, thus saving compilation efforts.
+      *
+      * See DenseCoeffsBase<Derived,WriteAccessors>::coeffRef(Index,Index) const for details. */
+    EIGEN_DEVICE_FUNC
+    EIGEN_STRONG_INLINE Scalar& coeffRef(Index rowId, Index colId)
+    {
+      if(Flags & RowMajorBit)
+        return m_storage.data()[colId + rowId * m_storage.cols()];
+      else // column-major
+        return m_storage.data()[rowId + colId * m_storage.rows()];
+    }
+
+    /** This is an overloaded version of DenseCoeffsBase<Derived,WriteAccessors>::coeffRef(Index) const
+      * provided to by-pass the creation of an evaluator of the expression, thus saving compilation efforts.
+      *
+      * See DenseCoeffsBase<Derived,WriteAccessors>::coeffRef(Index) const for details. */
+    EIGEN_DEVICE_FUNC
+    EIGEN_STRONG_INLINE Scalar& coeffRef(Index index)
+    {
+      return m_storage.data()[index];
+    }
+
+    /** This is the const version of coeffRef(Index,Index) which is thus synonym of coeff(Index,Index).
+      * It is provided for convenience. */
+    EIGEN_DEVICE_FUNC
+    EIGEN_STRONG_INLINE const Scalar& coeffRef(Index rowId, Index colId) const
+    {
+      if(Flags & RowMajorBit)
+        return m_storage.data()[colId + rowId * m_storage.cols()];
+      else // column-major
+        return m_storage.data()[rowId + colId * m_storage.rows()];
+    }
+
+    /** This is the const version of coeffRef(Index) which is thus synonym of coeff(Index).
+      * It is provided for convenience. */
+    EIGEN_DEVICE_FUNC
+    EIGEN_STRONG_INLINE const Scalar& coeffRef(Index index) const
+    {
+      return m_storage.data()[index];
+    }
+
+    /** \internal */
+    template<int LoadMode>
+    EIGEN_STRONG_INLINE PacketScalar packet(Index rowId, Index colId) const
+    {
+      return internal::ploadt<PacketScalar, LoadMode>
+               (m_storage.data() + (Flags & RowMajorBit
+                                   ? colId + rowId * m_storage.cols()
+                                   : rowId + colId * m_storage.rows()));
+    }
+
+    /** \internal */
+    template<int LoadMode>
+    EIGEN_STRONG_INLINE PacketScalar packet(Index index) const
+    {
+      return internal::ploadt<PacketScalar, LoadMode>(m_storage.data() + index);
+    }
+
+    /** \internal */
+    template<int StoreMode>
+    EIGEN_STRONG_INLINE void writePacket(Index rowId, Index colId, const PacketScalar& val)
+    {
+      internal::pstoret<Scalar, PacketScalar, StoreMode>
+              (m_storage.data() + (Flags & RowMajorBit
+                                   ? colId + rowId * m_storage.cols()
+                                   : rowId + colId * m_storage.rows()), val);
+    }
+
+    /** \internal */
+    template<int StoreMode>
+    EIGEN_STRONG_INLINE void writePacket(Index index, const PacketScalar& val)
+    {
+      internal::pstoret<Scalar, PacketScalar, StoreMode>(m_storage.data() + index, val);
+    }
+
+    /** \returns a const pointer to the data array of this matrix */
+    EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE const Scalar *data() const
+    { return m_storage.data(); }
+
+    /** \returns a pointer to the data array of this matrix */
+    EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE Scalar *data()
+    { return m_storage.data(); }
+
+    /** Resizes \c *this to a \a rows x \a cols matrix.
+      *
+      * This method is intended for dynamic-size matrices, although it is legal to call it on any
+      * matrix as long as fixed dimensions are left unchanged. If you only want to change the number
+      * of rows and/or of columns, you can use resize(NoChange_t, Index), resize(Index, NoChange_t).
+      *
+      * If the current number of coefficients of \c *this exactly matches the
+      * product \a rows * \a cols, then no memory allocation is performed and
+      * the current values are left unchanged. In all other cases, including
+      * shrinking, the data is reallocated and all previous values are lost.
+      *
+      * Example: \include Matrix_resize_int_int.cpp
+      * Output: \verbinclude Matrix_resize_int_int.out
+      *
+      * \sa resize(Index) for vectors, resize(NoChange_t, Index), resize(Index, NoChange_t)
+      */
+    EIGEN_DEVICE_FUNC
+    EIGEN_STRONG_INLINE void resize(Index rows, Index cols)
+    {
+      eigen_assert(   EIGEN_IMPLIES(RowsAtCompileTime!=Dynamic,rows==RowsAtCompileTime)
+                   && EIGEN_IMPLIES(ColsAtCompileTime!=Dynamic,cols==ColsAtCompileTime)
+                   && EIGEN_IMPLIES(RowsAtCompileTime==Dynamic && MaxRowsAtCompileTime!=Dynamic,rows<=MaxRowsAtCompileTime)
+                   && EIGEN_IMPLIES(ColsAtCompileTime==Dynamic && MaxColsAtCompileTime!=Dynamic,cols<=MaxColsAtCompileTime)
+                   && rows>=0 && cols>=0 && "Invalid sizes when resizing a matrix or array.");
+      internal::check_rows_cols_for_overflow<MaxSizeAtCompileTime>::run(rows, cols);
+      #ifdef EIGEN_INITIALIZE_COEFFS
+        Index size = rows*cols;
+        bool size_changed = size != this->size();
+        m_storage.resize(size, rows, cols);
+        if(size_changed) EIGEN_INITIALIZE_COEFFS_IF_THAT_OPTION_IS_ENABLED
+      #else
+        m_storage.resize(rows*cols, rows, cols);
+      #endif
+    }
+
+    /** Resizes \c *this to a vector of length \a size
+      *
+      * \only_for_vectors. This method does not work for
+      * partially dynamic matrices when the static dimension is anything other
+      * than 1. For example it will not work with Matrix<double, 2, Dynamic>.
+      *
+      * Example: \include Matrix_resize_int.cpp
+      * Output: \verbinclude Matrix_resize_int.out
+      *
+      * \sa resize(Index,Index), resize(NoChange_t, Index), resize(Index, NoChange_t)
+      */
+    EIGEN_DEVICE_FUNC
+    inline void resize(Index size)
+    {
+      EIGEN_STATIC_ASSERT_VECTOR_ONLY(PlainObjectBase)
+      eigen_assert(((SizeAtCompileTime == Dynamic && (MaxSizeAtCompileTime==Dynamic || size<=MaxSizeAtCompileTime)) || SizeAtCompileTime == size) && size>=0);
+      #ifdef EIGEN_INITIALIZE_COEFFS
+        bool size_changed = size != this->size();
+      #endif
+      if(RowsAtCompileTime == 1)
+        m_storage.resize(size, 1, size);
+      else
+        m_storage.resize(size, size, 1);
+      #ifdef EIGEN_INITIALIZE_COEFFS
+        if(size_changed) EIGEN_INITIALIZE_COEFFS_IF_THAT_OPTION_IS_ENABLED
+      #endif
+    }
+
+    /** Resizes the matrix, changing only the number of columns. For the parameter of type NoChange_t, just pass the special value \c NoChange
+      * as in the example below.
+      *
+      * Example: \include Matrix_resize_NoChange_int.cpp
+      * Output: \verbinclude Matrix_resize_NoChange_int.out
+      *
+      * \sa resize(Index,Index)
+      */
+    EIGEN_DEVICE_FUNC
+    inline void resize(NoChange_t, Index cols)
+    {
+      resize(rows(), cols);
+    }
+
+    /** Resizes the matrix, changing only the number of rows. For the parameter of type NoChange_t, just pass the special value \c NoChange
+      * as in the example below.
+      *
+      * Example: \include Matrix_resize_int_NoChange.cpp
+      * Output: \verbinclude Matrix_resize_int_NoChange.out
+      *
+      * \sa resize(Index,Index)
+      */
+    EIGEN_DEVICE_FUNC
+    inline void resize(Index rows, NoChange_t)
+    {
+      resize(rows, cols());
+    }
+
+    /** Resizes \c *this to have the same dimensions as \a other.
+      * Takes care of doing all the checking that's needed.
+      *
+      * Note that copying a row-vector into a vector (and conversely) is allowed.
+      * The resizing, if any, is then done in the appropriate way so that row-vectors
+      * remain row-vectors and vectors remain vectors.
+      */
+    template<typename OtherDerived>
+    EIGEN_DEVICE_FUNC 
+    EIGEN_STRONG_INLINE void resizeLike(const EigenBase<OtherDerived>& _other)
+    {
+      const OtherDerived& other = _other.derived();
+      internal::check_rows_cols_for_overflow<MaxSizeAtCompileTime>::run(other.rows(), other.cols());
+      const Index othersize = other.rows()*other.cols();
+      if(RowsAtCompileTime == 1)
+      {
+        eigen_assert(other.rows() == 1 || other.cols() == 1);
+        resize(1, othersize);
+      }
+      else if(ColsAtCompileTime == 1)
+      {
+        eigen_assert(other.rows() == 1 || other.cols() == 1);
+        resize(othersize, 1);
+      }
+      else resize(other.rows(), other.cols());
+    }
+
+    /** Resizes the matrix to \a rows x \a cols while leaving old values untouched.
+      *
+      * The method is intended for matrices of dynamic size. If you only want to change the number
+      * of rows and/or of columns, you can use conservativeResize(NoChange_t, Index) or
+      * conservativeResize(Index, NoChange_t).
+      *
+      * Matrices are resized relative to the top-left element. In case values need to be 
+      * appended to the matrix they will be uninitialized.
+      */
+    EIGEN_DEVICE_FUNC
+    EIGEN_STRONG_INLINE void conservativeResize(Index rows, Index cols)
+    {
+      internal::conservative_resize_like_impl<Derived>::run(*this, rows, cols);
+    }
+
+    /** Resizes the matrix to \a rows x \a cols while leaving old values untouched.
+      *
+      * As opposed to conservativeResize(Index rows, Index cols), this version leaves
+      * the number of columns unchanged.
+      *
+      * In case the matrix is growing, new rows will be uninitialized.
+      */
+    EIGEN_DEVICE_FUNC
+    EIGEN_STRONG_INLINE void conservativeResize(Index rows, NoChange_t)
+    {
+      // Note: see the comment in conservativeResize(Index,Index)
+      conservativeResize(rows, cols());
+    }
+
+    /** Resizes the matrix to \a rows x \a cols while leaving old values untouched.
+      *
+      * As opposed to conservativeResize(Index rows, Index cols), this version leaves
+      * the number of rows unchanged.
+      *
+      * In case the matrix is growing, new columns will be uninitialized.
+      */
+    EIGEN_DEVICE_FUNC
+    EIGEN_STRONG_INLINE void conservativeResize(NoChange_t, Index cols)
+    {
+      // Note: see the comment in conservativeResize(Index,Index)
+      conservativeResize(rows(), cols);
+    }
+
+    /** Resizes the vector to \a size while retaining old values.
+      *
+      * \only_for_vectors. This method does not work for
+      * partially dynamic matrices when the static dimension is anything other
+      * than 1. For example it will not work with Matrix<double, 2, Dynamic>.
+      *
+      * When values are appended, they will be uninitialized.
+      */
+    EIGEN_DEVICE_FUNC
+    EIGEN_STRONG_INLINE void conservativeResize(Index size)
+    {
+      internal::conservative_resize_like_impl<Derived>::run(*this, size);
+    }
+
+    /** Resizes the matrix to \a rows x \a cols of \c other, while leaving old values untouched.
+      *
+      * The method is intended for matrices of dynamic size. If you only want to change the number
+      * of rows and/or of columns, you can use conservativeResize(NoChange_t, Index) or
+      * conservativeResize(Index, NoChange_t).
+      *
+      * Matrices are resized relative to the top-left element. In case values need to be 
+      * appended to the matrix they will copied from \c other.
+      */
+    template<typename OtherDerived>
+    EIGEN_DEVICE_FUNC
+    EIGEN_STRONG_INLINE void conservativeResizeLike(const DenseBase<OtherDerived>& other)
+    {
+      internal::conservative_resize_like_impl<Derived,OtherDerived>::run(*this, other);
+    }
+
+    /** This is a special case of the templated operator=. Its purpose is to
+      * prevent a default operator= from hiding the templated operator=.
+      */
+    EIGEN_DEVICE_FUNC
+    EIGEN_STRONG_INLINE Derived& operator=(const PlainObjectBase& other)
+    {
+      return _set(other);
+    }
+
+    /** \sa MatrixBase::lazyAssign() */
+    template<typename OtherDerived>
+    EIGEN_DEVICE_FUNC
+    EIGEN_STRONG_INLINE Derived& lazyAssign(const DenseBase<OtherDerived>& other)
+    {
+      _resize_to_match(other);
+      return Base::lazyAssign(other.derived());
+    }
+
+    template<typename OtherDerived>
+    EIGEN_DEVICE_FUNC
+    EIGEN_STRONG_INLINE Derived& operator=(const ReturnByValue<OtherDerived>& func)
+    {
+      resize(func.rows(), func.cols());
+      return Base::operator=(func);
+    }
+
+    // Prevent user from trying to instantiate PlainObjectBase objects
+    // by making all its constructor protected. See bug 1074.
+  protected:
+
+    EIGEN_DEVICE_FUNC
+    EIGEN_STRONG_INLINE PlainObjectBase() : m_storage()
+    {
+//       _check_template_params();
+//       EIGEN_INITIALIZE_COEFFS_IF_THAT_OPTION_IS_ENABLED
+    }
+
+#ifndef EIGEN_PARSED_BY_DOXYGEN
+    // FIXME is it still needed ?
+    /** \internal */
+    EIGEN_DEVICE_FUNC
+    explicit PlainObjectBase(internal::constructor_without_unaligned_array_assert)
+      : m_storage(internal::constructor_without_unaligned_array_assert())
+    {
+//       _check_template_params(); EIGEN_INITIALIZE_COEFFS_IF_THAT_OPTION_IS_ENABLED
+    }
+#endif
+
+#if EIGEN_HAS_RVALUE_REFERENCES
+    EIGEN_DEVICE_FUNC
+    PlainObjectBase(PlainObjectBase&& other) EIGEN_NOEXCEPT
+      : m_storage( std::move(other.m_storage) )
+    {
+    }
+
+    EIGEN_DEVICE_FUNC
+    PlainObjectBase& operator=(PlainObjectBase&& other) EIGEN_NOEXCEPT
+    {
+      using std::swap;
+      swap(m_storage, other.m_storage);
+      return *this;
+    }
+#endif
+
+    /** Copy constructor */
+    EIGEN_DEVICE_FUNC
+    EIGEN_STRONG_INLINE PlainObjectBase(const PlainObjectBase& other)
+      : Base(), m_storage(other.m_storage) { }
+    EIGEN_DEVICE_FUNC
+    EIGEN_STRONG_INLINE PlainObjectBase(Index size, Index rows, Index cols)
+      : m_storage(size, rows, cols)
+    {
+//       _check_template_params();
+//       EIGEN_INITIALIZE_COEFFS_IF_THAT_OPTION_IS_ENABLED
+    }
+
+    /** \sa PlainObjectBase::operator=(const EigenBase<OtherDerived>&) */
+    template<typename OtherDerived>
+    EIGEN_DEVICE_FUNC
+    EIGEN_STRONG_INLINE PlainObjectBase(const DenseBase<OtherDerived> &other)
+      : m_storage()
+    {
+      _check_template_params();
+      resizeLike(other);
+      _set_noalias(other);
+    }
+
+    /** \sa PlainObjectBase::operator=(const EigenBase<OtherDerived>&) */
+    template<typename OtherDerived>
+    EIGEN_DEVICE_FUNC
+    EIGEN_STRONG_INLINE PlainObjectBase(const EigenBase<OtherDerived> &other)
+      : m_storage()
+    {
+      _check_template_params();
+      resizeLike(other);
+      *this = other.derived();
+    }
+    /** \brief Copy constructor with in-place evaluation */
+    template<typename OtherDerived>
+    EIGEN_DEVICE_FUNC
+    EIGEN_STRONG_INLINE PlainObjectBase(const ReturnByValue<OtherDerived>& other)
+    {
+      _check_template_params();
+      // FIXME this does not automatically transpose vectors if necessary
+      resize(other.rows(), other.cols());
+      other.evalTo(this->derived());
+    }
+
+  public:
+
+    /** \brief Copies the generic expression \a other into *this.
+      * \copydetails DenseBase::operator=(const EigenBase<OtherDerived> &other)
+      */
+    template<typename OtherDerived>
+    EIGEN_DEVICE_FUNC 
+    EIGEN_STRONG_INLINE Derived& operator=(const EigenBase<OtherDerived> &other)
+    {
+      _resize_to_match(other);
+      Base::operator=(other.derived());
+      return this->derived();
+    }
+
+    /** \name Map
+      * These are convenience functions returning Map objects. The Map() static functions return unaligned Map objects,
+      * while the AlignedMap() functions return aligned Map objects and thus should be called only with 16-byte-aligned
+      * \a data pointers.
+      *
+      * Here is an example using strides:
+      * \include Matrix_Map_stride.cpp
+      * Output: \verbinclude Matrix_Map_stride.out
+      *
+      * \see class Map
+      */
+    //@{
+    static inline ConstMapType Map(const Scalar* data)
+    { return ConstMapType(data); }
+    static inline MapType Map(Scalar* data)
+    { return MapType(data); }
+    static inline ConstMapType Map(const Scalar* data, Index size)
+    { return ConstMapType(data, size); }
+    static inline MapType Map(Scalar* data, Index size)
+    { return MapType(data, size); }
+    static inline ConstMapType Map(const Scalar* data, Index rows, Index cols)
+    { return ConstMapType(data, rows, cols); }
+    static inline MapType Map(Scalar* data, Index rows, Index cols)
+    { return MapType(data, rows, cols); }
+
+    static inline ConstAlignedMapType MapAligned(const Scalar* data)
+    { return ConstAlignedMapType(data); }
+    static inline AlignedMapType MapAligned(Scalar* data)
+    { return AlignedMapType(data); }
+    static inline ConstAlignedMapType MapAligned(const Scalar* data, Index size)
+    { return ConstAlignedMapType(data, size); }
+    static inline AlignedMapType MapAligned(Scalar* data, Index size)
+    { return AlignedMapType(data, size); }
+    static inline ConstAlignedMapType MapAligned(const Scalar* data, Index rows, Index cols)
+    { return ConstAlignedMapType(data, rows, cols); }
+    static inline AlignedMapType MapAligned(Scalar* data, Index rows, Index cols)
+    { return AlignedMapType(data, rows, cols); }
+
+    template<int Outer, int Inner>
+    static inline typename StridedConstMapType<Stride<Outer, Inner> >::type Map(const Scalar* data, const Stride<Outer, Inner>& stride)
+    { return typename StridedConstMapType<Stride<Outer, Inner> >::type(data, stride); }
+    template<int Outer, int Inner>
+    static inline typename StridedMapType<Stride<Outer, Inner> >::type Map(Scalar* data, const Stride<Outer, Inner>& stride)
+    { return typename StridedMapType<Stride<Outer, Inner> >::type(data, stride); }
+    template<int Outer, int Inner>
+    static inline typename StridedConstMapType<Stride<Outer, Inner> >::type Map(const Scalar* data, Index size, const Stride<Outer, Inner>& stride)
+    { return typename StridedConstMapType<Stride<Outer, Inner> >::type(data, size, stride); }
+    template<int Outer, int Inner>
+    static inline typename StridedMapType<Stride<Outer, Inner> >::type Map(Scalar* data, Index size, const Stride<Outer, Inner>& stride)
+    { return typename StridedMapType<Stride<Outer, Inner> >::type(data, size, stride); }
+    template<int Outer, int Inner>
+    static inline typename StridedConstMapType<Stride<Outer, Inner> >::type Map(const Scalar* data, Index rows, Index cols, const Stride<Outer, Inner>& stride)
+    { return typename StridedConstMapType<Stride<Outer, Inner> >::type(data, rows, cols, stride); }
+    template<int Outer, int Inner>
+    static inline typename StridedMapType<Stride<Outer, Inner> >::type Map(Scalar* data, Index rows, Index cols, const Stride<Outer, Inner>& stride)
+    { return typename StridedMapType<Stride<Outer, Inner> >::type(data, rows, cols, stride); }
+
+    template<int Outer, int Inner>
+    static inline typename StridedConstAlignedMapType<Stride<Outer, Inner> >::type MapAligned(const Scalar* data, const Stride<Outer, Inner>& stride)
+    { return typename StridedConstAlignedMapType<Stride<Outer, Inner> >::type(data, stride); }
+    template<int Outer, int Inner>
+    static inline typename StridedAlignedMapType<Stride<Outer, Inner> >::type MapAligned(Scalar* data, const Stride<Outer, Inner>& stride)
+    { return typename StridedAlignedMapType<Stride<Outer, Inner> >::type(data, stride); }
+    template<int Outer, int Inner>
+    static inline typename StridedConstAlignedMapType<Stride<Outer, Inner> >::type MapAligned(const Scalar* data, Index size, const Stride<Outer, Inner>& stride)
+    { return typename StridedConstAlignedMapType<Stride<Outer, Inner> >::type(data, size, stride); }
+    template<int Outer, int Inner>
+    static inline typename StridedAlignedMapType<Stride<Outer, Inner> >::type MapAligned(Scalar* data, Index size, const Stride<Outer, Inner>& stride)
+    { return typename StridedAlignedMapType<Stride<Outer, Inner> >::type(data, size, stride); }
+    template<int Outer, int Inner>
+    static inline typename StridedConstAlignedMapType<Stride<Outer, Inner> >::type MapAligned(const Scalar* data, Index rows, Index cols, const Stride<Outer, Inner>& stride)
+    { return typename StridedConstAlignedMapType<Stride<Outer, Inner> >::type(data, rows, cols, stride); }
+    template<int Outer, int Inner>
+    static inline typename StridedAlignedMapType<Stride<Outer, Inner> >::type MapAligned(Scalar* data, Index rows, Index cols, const Stride<Outer, Inner>& stride)
+    { return typename StridedAlignedMapType<Stride<Outer, Inner> >::type(data, rows, cols, stride); }
+    //@}
+
+    using Base::setConstant;
+    EIGEN_DEVICE_FUNC Derived& setConstant(Index size, const Scalar& val);
+    EIGEN_DEVICE_FUNC Derived& setConstant(Index rows, Index cols, const Scalar& val);
+
+    using Base::setZero;
+    EIGEN_DEVICE_FUNC Derived& setZero(Index size);
+    EIGEN_DEVICE_FUNC Derived& setZero(Index rows, Index cols);
+
+    using Base::setOnes;
+    EIGEN_DEVICE_FUNC Derived& setOnes(Index size);
+    EIGEN_DEVICE_FUNC Derived& setOnes(Index rows, Index cols);
+
+    using Base::setRandom;
+    Derived& setRandom(Index size);
+    Derived& setRandom(Index rows, Index cols);
+
+    #ifdef EIGEN_PLAINOBJECTBASE_PLUGIN
+    #include EIGEN_PLAINOBJECTBASE_PLUGIN
+    #endif
+
+  protected:
+    /** \internal Resizes *this in preparation for assigning \a other to it.
+      * Takes care of doing all the checking that's needed.
+      *
+      * Note that copying a row-vector into a vector (and conversely) is allowed.
+      * The resizing, if any, is then done in the appropriate way so that row-vectors
+      * remain row-vectors and vectors remain vectors.
+      */
+    template<typename OtherDerived>
+    EIGEN_DEVICE_FUNC 
+    EIGEN_STRONG_INLINE void _resize_to_match(const EigenBase<OtherDerived>& other)
+    {
+      #ifdef EIGEN_NO_AUTOMATIC_RESIZING
+      eigen_assert((this->size()==0 || (IsVectorAtCompileTime ? (this->size() == other.size())
+                 : (rows() == other.rows() && cols() == other.cols())))
+        && "Size mismatch. Automatic resizing is disabled because EIGEN_NO_AUTOMATIC_RESIZING is defined");
+      EIGEN_ONLY_USED_FOR_DEBUG(other);
+      #else
+      resizeLike(other);
+      #endif
+    }
+
+    /**
+      * \brief Copies the value of the expression \a other into \c *this with automatic resizing.
+      *
+      * *this might be resized to match the dimensions of \a other. If *this was a null matrix (not already initialized),
+      * it will be initialized.
+      *
+      * Note that copying a row-vector into a vector (and conversely) is allowed.
+      * The resizing, if any, is then done in the appropriate way so that row-vectors
+      * remain row-vectors and vectors remain vectors.
+      *
+      * \sa operator=(const MatrixBase<OtherDerived>&), _set_noalias()
+      *
+      * \internal
+      */
+    // aliasing is dealt once in internall::call_assignment
+    // so at this stage we have to assume aliasing... and resising has to be done later.
+    template<typename OtherDerived>
+    EIGEN_DEVICE_FUNC 
+    EIGEN_STRONG_INLINE Derived& _set(const DenseBase<OtherDerived>& other)
+    {
+      internal::call_assignment(this->derived(), other.derived());
+      return this->derived();
+    }
+
+    /** \internal Like _set() but additionally makes the assumption that no aliasing effect can happen (which
+      * is the case when creating a new matrix) so one can enforce lazy evaluation.
+      *
+      * \sa operator=(const MatrixBase<OtherDerived>&), _set()
+      */
+    template<typename OtherDerived>
+    EIGEN_DEVICE_FUNC 
+    EIGEN_STRONG_INLINE Derived& _set_noalias(const DenseBase<OtherDerived>& other)
+    {
+      // I don't think we need this resize call since the lazyAssign will anyways resize
+      // and lazyAssign will be called by the assign selector.
+      //_resize_to_match(other);
+      // the 'false' below means to enforce lazy evaluation. We don't use lazyAssign() because
+      // it wouldn't allow to copy a row-vector into a column-vector.
+      internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
+      return this->derived();
+    }
+
+    template<typename T0, typename T1>
+    EIGEN_DEVICE_FUNC
+    EIGEN_STRONG_INLINE void _init2(Index rows, Index cols, typename internal::enable_if<Base::SizeAtCompileTime!=2,T0>::type* = 0)
+    {
+      const bool t0_is_integer_alike = internal::is_valid_index_type<T0>::value;
+      const bool t1_is_integer_alike = internal::is_valid_index_type<T1>::value;
+      EIGEN_STATIC_ASSERT(t0_is_integer_alike &&
+                          t1_is_integer_alike,
+                          FLOATING_POINT_ARGUMENT_PASSED__INTEGER_WAS_EXPECTED)
+      resize(rows,cols);
+    }
+    
+    template<typename T0, typename T1>
+    EIGEN_DEVICE_FUNC 
+    EIGEN_STRONG_INLINE void _init2(const T0& val0, const T1& val1, typename internal::enable_if<Base::SizeAtCompileTime==2,T0>::type* = 0)
+    {
+      EIGEN_STATIC_ASSERT_VECTOR_SPECIFIC_SIZE(PlainObjectBase, 2)
+      m_storage.data()[0] = Scalar(val0);
+      m_storage.data()[1] = Scalar(val1);
+    }
+    
+    template<typename T0, typename T1>
+    EIGEN_DEVICE_FUNC 
+    EIGEN_STRONG_INLINE void _init2(const Index& val0, const Index& val1,
+                                    typename internal::enable_if<    (!internal::is_same<Index,Scalar>::value)
+                                                                  && (internal::is_same<T0,Index>::value)
+                                                                  && (internal::is_same<T1,Index>::value)
+                                                                  && Base::SizeAtCompileTime==2,T1>::type* = 0)
+    {
+      EIGEN_STATIC_ASSERT_VECTOR_SPECIFIC_SIZE(PlainObjectBase, 2)
+      m_storage.data()[0] = Scalar(val0);
+      m_storage.data()[1] = Scalar(val1);
+    }
+
+    // The argument is convertible to the Index type and we either have a non 1x1 Matrix, or a dynamic-sized Array,
+    // then the argument is meant to be the size of the object.
+    template<typename T>
+    EIGEN_DEVICE_FUNC
+    EIGEN_STRONG_INLINE void _init1(Index size, typename internal::enable_if<    (Base::SizeAtCompileTime!=1 || !internal::is_convertible<T, Scalar>::value)
+                                                                              && ((!internal::is_same<typename internal::traits<Derived>::XprKind,ArrayXpr>::value || Base::SizeAtCompileTime==Dynamic)),T>::type* = 0)
+    {
+      // NOTE MSVC 2008 complains if we directly put bool(NumTraits<T>::IsInteger) as the EIGEN_STATIC_ASSERT argument.
+      const bool is_integer_alike = internal::is_valid_index_type<T>::value;
+      EIGEN_UNUSED_VARIABLE(is_integer_alike);
+      EIGEN_STATIC_ASSERT(is_integer_alike,
+                          FLOATING_POINT_ARGUMENT_PASSED__INTEGER_WAS_EXPECTED)
+      resize(size);
+    }
+    
+    // We have a 1x1 matrix/array => the argument is interpreted as the value of the unique coefficient (case where scalar type can be implicitely converted)
+    template<typename T>
+    EIGEN_DEVICE_FUNC
+    EIGEN_STRONG_INLINE void _init1(const Scalar& val0, typename internal::enable_if<Base::SizeAtCompileTime==1 && internal::is_convertible<T, Scalar>::value,T>::type* = 0)
+    {
+      EIGEN_STATIC_ASSERT_VECTOR_SPECIFIC_SIZE(PlainObjectBase, 1)
+      m_storage.data()[0] = val0;
+    }
+    
+    // We have a 1x1 matrix/array => the argument is interpreted as the value of the unique coefficient (case where scalar type match the index type)
+    template<typename T>
+    EIGEN_DEVICE_FUNC
+    EIGEN_STRONG_INLINE void _init1(const Index& val0,
+                                    typename internal::enable_if<    (!internal::is_same<Index,Scalar>::value)
+                                                                  && (internal::is_same<Index,T>::value)
+                                                                  && Base::SizeAtCompileTime==1
+                                                                  && internal::is_convertible<T, Scalar>::value,T*>::type* = 0)
+    {
+      EIGEN_STATIC_ASSERT_VECTOR_SPECIFIC_SIZE(PlainObjectBase, 1)
+      m_storage.data()[0] = Scalar(val0);
+    }
+
+    // Initialize a fixed size matrix from a pointer to raw data
+    template<typename T>
+    EIGEN_DEVICE_FUNC
+    EIGEN_STRONG_INLINE void _init1(const Scalar* data){
+      this->_set_noalias(ConstMapType(data));
+    }
+
+    // Initialize an arbitrary matrix from a dense expression
+    template<typename T, typename OtherDerived>
+    EIGEN_DEVICE_FUNC
+    EIGEN_STRONG_INLINE void _init1(const DenseBase<OtherDerived>& other){
+      this->_set_noalias(other);
+    }
+
+    // Initialize an arbitrary matrix from an object convertible to the Derived type.
+    template<typename T>
+    EIGEN_DEVICE_FUNC
+    EIGEN_STRONG_INLINE void _init1(const Derived& other){
+      this->_set_noalias(other);
+    }
+
+    // Initialize an arbitrary matrix from a generic Eigen expression
+    template<typename T, typename OtherDerived>
+    EIGEN_DEVICE_FUNC
+    EIGEN_STRONG_INLINE void _init1(const EigenBase<OtherDerived>& other){
+      this->derived() = other;
+    }
+
+    template<typename T, typename OtherDerived>
+    EIGEN_DEVICE_FUNC
+    EIGEN_STRONG_INLINE void _init1(const ReturnByValue<OtherDerived>& other)
+    {
+      resize(other.rows(), other.cols());
+      other.evalTo(this->derived());
+    }
+
+    template<typename T, typename OtherDerived, int ColsAtCompileTime>
+    EIGEN_DEVICE_FUNC
+    EIGEN_STRONG_INLINE void _init1(const RotationBase<OtherDerived,ColsAtCompileTime>& r)
+    {
+      this->derived() = r;
+    }
+    
+    // For fixed-size Array<Scalar,...>
+    template<typename T>
+    EIGEN_DEVICE_FUNC
+    EIGEN_STRONG_INLINE void _init1(const Scalar& val0,
+                                    typename internal::enable_if<    Base::SizeAtCompileTime!=Dynamic
+                                                                  && Base::SizeAtCompileTime!=1
+                                                                  && internal::is_convertible<T, Scalar>::value
+                                                                  && internal::is_same<typename internal::traits<Derived>::XprKind,ArrayXpr>::value,T>::type* = 0)
+    {
+      Base::setConstant(val0);
+    }
+    
+    // For fixed-size Array<Index,...>
+    template<typename T>
+    EIGEN_DEVICE_FUNC
+    EIGEN_STRONG_INLINE void _init1(const Index& val0,
+                                    typename internal::enable_if<    (!internal::is_same<Index,Scalar>::value)
+                                                                  && (internal::is_same<Index,T>::value)
+                                                                  && Base::SizeAtCompileTime!=Dynamic
+                                                                  && Base::SizeAtCompileTime!=1
+                                                                  && internal::is_convertible<T, Scalar>::value
+                                                                  && internal::is_same<typename internal::traits<Derived>::XprKind,ArrayXpr>::value,T*>::type* = 0)
+    {
+      Base::setConstant(val0);
+    }
+    
+    template<typename MatrixTypeA, typename MatrixTypeB, bool SwapPointers>
+    friend struct internal::matrix_swap_impl;
+
+  public:
+    
+#ifndef EIGEN_PARSED_BY_DOXYGEN
+    /** \internal
+      * \brief Override DenseBase::swap() since for dynamic-sized matrices
+      * of same type it is enough to swap the data pointers.
+      */
+    template<typename OtherDerived>
+    EIGEN_DEVICE_FUNC
+    void swap(DenseBase<OtherDerived> & other)
+    {
+      enum { SwapPointers = internal::is_same<Derived, OtherDerived>::value && Base::SizeAtCompileTime==Dynamic };
+      internal::matrix_swap_impl<Derived, OtherDerived, bool(SwapPointers)>::run(this->derived(), other.derived());
+    }
+    
+    /** \internal
+      * \brief const version forwarded to DenseBase::swap
+      */
+    template<typename OtherDerived>
+    EIGEN_DEVICE_FUNC
+    void swap(DenseBase<OtherDerived> const & other)
+    { Base::swap(other.derived()); }
+    
+    EIGEN_DEVICE_FUNC 
+    static EIGEN_STRONG_INLINE void _check_template_params()
+    {
+      EIGEN_STATIC_ASSERT((EIGEN_IMPLIES(MaxRowsAtCompileTime==1 && MaxColsAtCompileTime!=1, (Options&RowMajor)==RowMajor)
+                        && EIGEN_IMPLIES(MaxColsAtCompileTime==1 && MaxRowsAtCompileTime!=1, (Options&RowMajor)==0)
+                        && ((RowsAtCompileTime == Dynamic) || (RowsAtCompileTime >= 0))
+                        && ((ColsAtCompileTime == Dynamic) || (ColsAtCompileTime >= 0))
+                        && ((MaxRowsAtCompileTime == Dynamic) || (MaxRowsAtCompileTime >= 0))
+                        && ((MaxColsAtCompileTime == Dynamic) || (MaxColsAtCompileTime >= 0))
+                        && (MaxRowsAtCompileTime == RowsAtCompileTime || RowsAtCompileTime==Dynamic)
+                        && (MaxColsAtCompileTime == ColsAtCompileTime || ColsAtCompileTime==Dynamic)
+                        && (Options & (DontAlign|RowMajor)) == Options),
+        INVALID_MATRIX_TEMPLATE_PARAMETERS)
+    }
+
+    enum { IsPlainObjectBase = 1 };
+#endif
+};
+
+namespace internal {
+
+template <typename Derived, typename OtherDerived, bool IsVector>
+struct conservative_resize_like_impl
+{
+  static void run(DenseBase<Derived>& _this, Index rows, Index cols)
+  {
+    if (_this.rows() == rows && _this.cols() == cols) return;
+    EIGEN_STATIC_ASSERT_DYNAMIC_SIZE(Derived)
+
+    if ( ( Derived::IsRowMajor && _this.cols() == cols) || // row-major and we change only the number of rows
+         (!Derived::IsRowMajor && _this.rows() == rows) )  // column-major and we change only the number of columns
+    {
+      internal::check_rows_cols_for_overflow<Derived::MaxSizeAtCompileTime>::run(rows, cols);
+      _this.derived().m_storage.conservativeResize(rows*cols,rows,cols);
+    }
+    else
+    {
+      // The storage order does not allow us to use reallocation.
+      typename Derived::PlainObject tmp(rows,cols);
+      const Index common_rows = numext::mini(rows, _this.rows());
+      const Index common_cols = numext::mini(cols, _this.cols());
+      tmp.block(0,0,common_rows,common_cols) = _this.block(0,0,common_rows,common_cols);
+      _this.derived().swap(tmp);
+    }
+  }
+
+  static void run(DenseBase<Derived>& _this, const DenseBase<OtherDerived>& other)
+  {
+    if (_this.rows() == other.rows() && _this.cols() == other.cols()) return;
+
+    // Note: Here is space for improvement. Basically, for conservativeResize(Index,Index),
+    // neither RowsAtCompileTime or ColsAtCompileTime must be Dynamic. If only one of the
+    // dimensions is dynamic, one could use either conservativeResize(Index rows, NoChange_t) or
+    // conservativeResize(NoChange_t, Index cols). For these methods new static asserts like
+    // EIGEN_STATIC_ASSERT_DYNAMIC_ROWS and EIGEN_STATIC_ASSERT_DYNAMIC_COLS would be good.
+    EIGEN_STATIC_ASSERT_DYNAMIC_SIZE(Derived)
+    EIGEN_STATIC_ASSERT_DYNAMIC_SIZE(OtherDerived)
+
+    if ( ( Derived::IsRowMajor && _this.cols() == other.cols()) || // row-major and we change only the number of rows
+         (!Derived::IsRowMajor && _this.rows() == other.rows()) )  // column-major and we change only the number of columns
+    {
+      const Index new_rows = other.rows() - _this.rows();
+      const Index new_cols = other.cols() - _this.cols();
+      _this.derived().m_storage.conservativeResize(other.size(),other.rows(),other.cols());
+      if (new_rows>0)
+        _this.bottomRightCorner(new_rows, other.cols()) = other.bottomRows(new_rows);
+      else if (new_cols>0)
+        _this.bottomRightCorner(other.rows(), new_cols) = other.rightCols(new_cols);
+    }
+    else
+    {
+      // The storage order does not allow us to use reallocation.
+      typename Derived::PlainObject tmp(other);
+      const Index common_rows = numext::mini(tmp.rows(), _this.rows());
+      const Index common_cols = numext::mini(tmp.cols(), _this.cols());
+      tmp.block(0,0,common_rows,common_cols) = _this.block(0,0,common_rows,common_cols);
+      _this.derived().swap(tmp);
+    }
+  }
+};
+
+// Here, the specialization for vectors inherits from the general matrix case
+// to allow calling .conservativeResize(rows,cols) on vectors.
+template <typename Derived, typename OtherDerived>
+struct conservative_resize_like_impl<Derived,OtherDerived,true>
+  : conservative_resize_like_impl<Derived,OtherDerived,false>
+{
+  using conservative_resize_like_impl<Derived,OtherDerived,false>::run;
+  
+  static void run(DenseBase<Derived>& _this, Index size)
+  {
+    const Index new_rows = Derived::RowsAtCompileTime==1 ? 1 : size;
+    const Index new_cols = Derived::RowsAtCompileTime==1 ? size : 1;
+    _this.derived().m_storage.conservativeResize(size,new_rows,new_cols);
+  }
+
+  static void run(DenseBase<Derived>& _this, const DenseBase<OtherDerived>& other)
+  {
+    if (_this.rows() == other.rows() && _this.cols() == other.cols()) return;
+
+    const Index num_new_elements = other.size() - _this.size();
+
+    const Index new_rows = Derived::RowsAtCompileTime==1 ? 1 : other.rows();
+    const Index new_cols = Derived::RowsAtCompileTime==1 ? other.cols() : 1;
+    _this.derived().m_storage.conservativeResize(other.size(),new_rows,new_cols);
+
+    if (num_new_elements > 0)
+      _this.tail(num_new_elements) = other.tail(num_new_elements);
+  }
+};
+
+template<typename MatrixTypeA, typename MatrixTypeB, bool SwapPointers>
+struct matrix_swap_impl
+{
+  EIGEN_DEVICE_FUNC
+  static inline void run(MatrixTypeA& a, MatrixTypeB& b)
+  {
+    a.base().swap(b);
+  }
+};
+
+template<typename MatrixTypeA, typename MatrixTypeB>
+struct matrix_swap_impl<MatrixTypeA, MatrixTypeB, true>
+{
+  EIGEN_DEVICE_FUNC
+  static inline void run(MatrixTypeA& a, MatrixTypeB& b)
+  {
+    static_cast<typename MatrixTypeA::Base&>(a).m_storage.swap(static_cast<typename MatrixTypeB::Base&>(b).m_storage);
+  }
+};
+
+} // end namespace internal
+
+} // end namespace Eigen
+
+#endif // EIGEN_DENSESTORAGEBASE_H
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/CoreIterators.h
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/CoreIterators.h	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/CoreIterators.h	(revision 3761)
@@ -0,0 +1,127 @@
+// This file is part of Eigen, a lightweight C++ template library
+// for linear algebra.
+//
+// Copyright (C) 2008-2014 Gael Guennebaud <gael.guennebaud@inria.fr>
+//
+// This Source Code Form is subject to the terms of the Mozilla
+// Public License v. 2.0. If a copy of the MPL was not distributed
+// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
+
+#ifndef EIGEN_COREITERATORS_H
+#define EIGEN_COREITERATORS_H
+
+namespace Eigen { 
+
+/* This file contains the respective InnerIterator definition of the expressions defined in Eigen/Core
+ */
+
+namespace internal {
+
+template<typename XprType, typename EvaluatorKind>
+class inner_iterator_selector;
+
+}
+
+/** \class InnerIterator
+  * \brief An InnerIterator allows to loop over the element of any matrix expression.
+  * 
+  * \warning To be used with care because an evaluator is constructed every time an InnerIterator iterator is constructed.
+  * 
+  * TODO: add a usage example
+  */
+template<typename XprType>
+class InnerIterator
+{
+protected:
+  typedef internal::inner_iterator_selector<XprType, typename internal::evaluator_traits<XprType>::Kind> IteratorType;
+  typedef internal::evaluator<XprType> EvaluatorType;
+  typedef typename internal::traits<XprType>::Scalar Scalar;
+public:
+  /** Construct an iterator over the \a outerId -th row or column of \a xpr */
+  InnerIterator(const XprType &xpr, const Index &outerId)
+    : m_eval(xpr), m_iter(m_eval, outerId, xpr.innerSize())
+  {}
+  
+  /// \returns the value of the current coefficient.
+  EIGEN_STRONG_INLINE Scalar value() const          { return m_iter.value(); }
+  /** Increment the iterator \c *this to the next non-zero coefficient.
+    * Explicit zeros are not skipped over. To skip explicit zeros, see class SparseView
+    */
+  EIGEN_STRONG_INLINE InnerIterator& operator++()   { m_iter.operator++(); return *this; }
+  /// \returns the column or row index of the current coefficient.
+  EIGEN_STRONG_INLINE Index index() const           { return m_iter.index(); }
+  /// \returns the row index of the current coefficient.
+  EIGEN_STRONG_INLINE Index row() const             { return m_iter.row(); }
+  /// \returns the column index of the current coefficient.
+  EIGEN_STRONG_INLINE Index col() const             { return m_iter.col(); }
+  /// \returns \c true if the iterator \c *this still references a valid coefficient.
+  EIGEN_STRONG_INLINE operator bool() const         { return m_iter; }
+  
+protected:
+  EvaluatorType m_eval;
+  IteratorType m_iter;
+private:
+  // If you get here, then you're not using the right InnerIterator type, e.g.:
+  //   SparseMatrix<double,RowMajor> A;
+  //   SparseMatrix<double>::InnerIterator it(A,0);
+  template<typename T> InnerIterator(const EigenBase<T>&,Index outer);
+};
+
+namespace internal {
+
+// Generic inner iterator implementation for dense objects
+template<typename XprType>
+class inner_iterator_selector<XprType, IndexBased>
+{
+protected:
+  typedef evaluator<XprType> EvaluatorType;
+  typedef typename traits<XprType>::Scalar Scalar;
+  enum { IsRowMajor = (XprType::Flags&RowMajorBit)==RowMajorBit };
+  
+public:
+  EIGEN_STRONG_INLINE inner_iterator_selector(const EvaluatorType &eval, const Index &outerId, const Index &innerSize)
+    : m_eval(eval), m_inner(0), m_outer(outerId), m_end(innerSize)
+  {}
+
+  EIGEN_STRONG_INLINE Scalar value() const
+  {
+    return (IsRowMajor) ? m_eval.coeff(m_outer, m_inner)
+                        : m_eval.coeff(m_inner, m_outer);
+  }
+
+  EIGEN_STRONG_INLINE inner_iterator_selector& operator++() { m_inner++; return *this; }
+
+  EIGEN_STRONG_INLINE Index index() const { return m_inner; }
+  inline Index row() const { return IsRowMajor ? m_outer : index(); }
+  inline Index col() const { return IsRowMajor ? index() : m_outer; }
+
+  EIGEN_STRONG_INLINE operator bool() const { return m_inner < m_end && m_inner>=0; }
+
+protected:
+  const EvaluatorType& m_eval;
+  Index m_inner;
+  const Index m_outer;
+  const Index m_end;
+};
+
+// For iterator-based evaluator, inner-iterator is already implemented as
+// evaluator<>::InnerIterator
+template<typename XprType>
+class inner_iterator_selector<XprType, IteratorBased>
+ : public evaluator<XprType>::InnerIterator
+{
+protected:
+  typedef typename evaluator<XprType>::InnerIterator Base;
+  typedef evaluator<XprType> EvaluatorType;
+  
+public:
+  EIGEN_STRONG_INLINE inner_iterator_selector(const EvaluatorType &eval, const Index &outerId, const Index &/*innerSize*/)
+    : Base(eval, outerId)
+  {}  
+};
+
+} // end namespace internal
+
+} // end namespace Eigen
+
+#endif // EIGEN_COREITERATORS_H
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/Dot.h
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/Dot.h	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/Dot.h	(revision 3761)
@@ -0,0 +1,318 @@
+// This file is part of Eigen, a lightweight C++ template library
+// for linear algebra.
+//
+// Copyright (C) 2006-2008, 2010 Benoit Jacob <jacob.benoit.1@gmail.com>
+//
+// This Source Code Form is subject to the terms of the Mozilla
+// Public License v. 2.0. If a copy of the MPL was not distributed
+// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
+
+#ifndef EIGEN_DOT_H
+#define EIGEN_DOT_H
+
+namespace Eigen { 
+
+namespace internal {
+
+// helper function for dot(). The problem is that if we put that in the body of dot(), then upon calling dot
+// with mismatched types, the compiler emits errors about failing to instantiate cwiseProduct BEFORE
+// looking at the static assertions. Thus this is a trick to get better compile errors.
+template<typename T, typename U,
+// the NeedToTranspose condition here is taken straight from Assign.h
+         bool NeedToTranspose = T::IsVectorAtCompileTime
+                && U::IsVectorAtCompileTime
+                && ((int(T::RowsAtCompileTime) == 1 && int(U::ColsAtCompileTime) == 1)
+                      |  // FIXME | instead of || to please GCC 4.4.0 stupid warning "suggest parentheses around &&".
+                         // revert to || as soon as not needed anymore.
+                    (int(T::ColsAtCompileTime) == 1 && int(U::RowsAtCompileTime) == 1))
+>
+struct dot_nocheck
+{
+  typedef scalar_conj_product_op<typename traits<T>::Scalar,typename traits<U>::Scalar> conj_prod;
+  typedef typename conj_prod::result_type ResScalar;
+  EIGEN_DEVICE_FUNC
+  EIGEN_STRONG_INLINE
+  static ResScalar run(const MatrixBase<T>& a, const MatrixBase<U>& b)
+  {
+    return a.template binaryExpr<conj_prod>(b).sum();
+  }
+};
+
+template<typename T, typename U>
+struct dot_nocheck<T, U, true>
+{
+  typedef scalar_conj_product_op<typename traits<T>::Scalar,typename traits<U>::Scalar> conj_prod;
+  typedef typename conj_prod::result_type ResScalar;
+  EIGEN_DEVICE_FUNC
+  EIGEN_STRONG_INLINE
+  static ResScalar run(const MatrixBase<T>& a, const MatrixBase<U>& b)
+  {
+    return a.transpose().template binaryExpr<conj_prod>(b).sum();
+  }
+};
+
+} // end namespace internal
+
+/** \fn MatrixBase::dot
+  * \returns the dot product of *this with other.
+  *
+  * \only_for_vectors
+  *
+  * \note If the scalar type is complex numbers, then this function returns the hermitian
+  * (sesquilinear) dot product, conjugate-linear in the first variable and linear in the
+  * second variable.
+  *
+  * \sa squaredNorm(), norm()
+  */
+template<typename Derived>
+template<typename OtherDerived>
+EIGEN_DEVICE_FUNC
+EIGEN_STRONG_INLINE
+typename ScalarBinaryOpTraits<typename internal::traits<Derived>::Scalar,typename internal::traits<OtherDerived>::Scalar>::ReturnType
+MatrixBase<Derived>::dot(const MatrixBase<OtherDerived>& other) const
+{
+  EIGEN_STATIC_ASSERT_VECTOR_ONLY(Derived)
+  EIGEN_STATIC_ASSERT_VECTOR_ONLY(OtherDerived)
+  EIGEN_STATIC_ASSERT_SAME_VECTOR_SIZE(Derived,OtherDerived)
+#if !(defined(EIGEN_NO_STATIC_ASSERT) && defined(EIGEN_NO_DEBUG))
+  typedef internal::scalar_conj_product_op<Scalar,typename OtherDerived::Scalar> func;
+  EIGEN_CHECK_BINARY_COMPATIBILIY(func,Scalar,typename OtherDerived::Scalar);
+#endif
+  
+  eigen_assert(size() == other.size());
+
+  return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
+}
+
+//---------- implementation of L2 norm and related functions ----------
+
+/** \returns, for vectors, the squared \em l2 norm of \c *this, and for matrices the Frobenius norm.
+  * In both cases, it consists in the sum of the square of all the matrix entries.
+  * For vectors, this is also equals to the dot product of \c *this with itself.
+  *
+  * \sa dot(), norm(), lpNorm()
+  */
+template<typename Derived>
+EIGEN_STRONG_INLINE typename NumTraits<typename internal::traits<Derived>::Scalar>::Real MatrixBase<Derived>::squaredNorm() const
+{
+  return numext::real((*this).cwiseAbs2().sum());
+}
+
+/** \returns, for vectors, the \em l2 norm of \c *this, and for matrices the Frobenius norm.
+  * In both cases, it consists in the square root of the sum of the square of all the matrix entries.
+  * For vectors, this is also equals to the square root of the dot product of \c *this with itself.
+  *
+  * \sa lpNorm(), dot(), squaredNorm()
+  */
+template<typename Derived>
+EIGEN_STRONG_INLINE typename NumTraits<typename internal::traits<Derived>::Scalar>::Real MatrixBase<Derived>::norm() const
+{
+  return numext::sqrt(squaredNorm());
+}
+
+/** \returns an expression of the quotient of \c *this by its own norm.
+  *
+  * \warning If the input vector is too small (i.e., this->norm()==0),
+  *          then this function returns a copy of the input.
+  *
+  * \only_for_vectors
+  *
+  * \sa norm(), normalize()
+  */
+template<typename Derived>
+EIGEN_STRONG_INLINE const typename MatrixBase<Derived>::PlainObject
+MatrixBase<Derived>::normalized() const
+{
+  typedef typename internal::nested_eval<Derived,2>::type _Nested;
+  _Nested n(derived());
+  RealScalar z = n.squaredNorm();
+  // NOTE: after extensive benchmarking, this conditional does not impact performance, at least on recent x86 CPU
+  if(z>RealScalar(0))
+    return n / numext::sqrt(z);
+  else
+    return n;
+}
+
+/** Normalizes the vector, i.e. divides it by its own norm.
+  *
+  * \only_for_vectors
+  *
+  * \warning If the input vector is too small (i.e., this->norm()==0), then \c *this is left unchanged.
+  *
+  * \sa norm(), normalized()
+  */
+template<typename Derived>
+EIGEN_STRONG_INLINE void MatrixBase<Derived>::normalize()
+{
+  RealScalar z = squaredNorm();
+  // NOTE: after extensive benchmarking, this conditional does not impact performance, at least on recent x86 CPU
+  if(z>RealScalar(0))
+    derived() /= numext::sqrt(z);
+}
+
+/** \returns an expression of the quotient of \c *this by its own norm while avoiding underflow and overflow.
+  *
+  * \only_for_vectors
+  *
+  * This method is analogue to the normalized() method, but it reduces the risk of
+  * underflow and overflow when computing the norm.
+  *
+  * \warning If the input vector is too small (i.e., this->norm()==0),
+  *          then this function returns a copy of the input.
+  *
+  * \sa stableNorm(), stableNormalize(), normalized()
+  */
+template<typename Derived>
+EIGEN_STRONG_INLINE const typename MatrixBase<Derived>::PlainObject
+MatrixBase<Derived>::stableNormalized() const
+{
+  typedef typename internal::nested_eval<Derived,3>::type _Nested;
+  _Nested n(derived());
+  RealScalar w = n.cwiseAbs().maxCoeff();
+  RealScalar z = (n/w).squaredNorm();
+  if(z>RealScalar(0))
+    return n / (numext::sqrt(z)*w);
+  else
+    return n;
+}
+
+/** Normalizes the vector while avoid underflow and overflow
+  *
+  * \only_for_vectors
+  *
+  * This method is analogue to the normalize() method, but it reduces the risk of
+  * underflow and overflow when computing the norm.
+  *
+  * \warning If the input vector is too small (i.e., this->norm()==0), then \c *this is left unchanged.
+  *
+  * \sa stableNorm(), stableNormalized(), normalize()
+  */
+template<typename Derived>
+EIGEN_STRONG_INLINE void MatrixBase<Derived>::stableNormalize()
+{
+  RealScalar w = cwiseAbs().maxCoeff();
+  RealScalar z = (derived()/w).squaredNorm();
+  if(z>RealScalar(0))
+    derived() /= numext::sqrt(z)*w;
+}
+
+//---------- implementation of other norms ----------
+
+namespace internal {
+
+template<typename Derived, int p>
+struct lpNorm_selector
+{
+  typedef typename NumTraits<typename traits<Derived>::Scalar>::Real RealScalar;
+  EIGEN_DEVICE_FUNC
+  static inline RealScalar run(const MatrixBase<Derived>& m)
+  {
+    EIGEN_USING_STD_MATH(pow)
+    return pow(m.cwiseAbs().array().pow(p).sum(), RealScalar(1)/p);
+  }
+};
+
+template<typename Derived>
+struct lpNorm_selector<Derived, 1>
+{
+  EIGEN_DEVICE_FUNC
+  static inline typename NumTraits<typename traits<Derived>::Scalar>::Real run(const MatrixBase<Derived>& m)
+  {
+    return m.cwiseAbs().sum();
+  }
+};
+
+template<typename Derived>
+struct lpNorm_selector<Derived, 2>
+{
+  EIGEN_DEVICE_FUNC
+  static inline typename NumTraits<typename traits<Derived>::Scalar>::Real run(const MatrixBase<Derived>& m)
+  {
+    return m.norm();
+  }
+};
+
+template<typename Derived>
+struct lpNorm_selector<Derived, Infinity>
+{
+  typedef typename NumTraits<typename traits<Derived>::Scalar>::Real RealScalar;
+  EIGEN_DEVICE_FUNC
+  static inline RealScalar run(const MatrixBase<Derived>& m)
+  {
+    if(Derived::SizeAtCompileTime==0 || (Derived::SizeAtCompileTime==Dynamic && m.size()==0))
+      return RealScalar(0);
+    return m.cwiseAbs().maxCoeff();
+  }
+};
+
+} // end namespace internal
+
+/** \returns the \b coefficient-wise \f$ \ell^p \f$ norm of \c *this, that is, returns the p-th root of the sum of the p-th powers of the absolute values
+  *          of the coefficients of \c *this. If \a p is the special value \a Eigen::Infinity, this function returns the \f$ \ell^\infty \f$
+  *          norm, that is the maximum of the absolute values of the coefficients of \c *this.
+  *
+  * In all cases, if \c *this is empty, then the value 0 is returned.
+  *
+  * \note For matrices, this function does not compute the <a href="https://en.wikipedia.org/wiki/Operator_norm">operator-norm</a>. That is, if \c *this is a matrix, then its coefficients are interpreted as a 1D vector. Nonetheless, you can easily compute the 1-norm and \f$\infty\f$-norm matrix operator norms using \link TutorialReductionsVisitorsBroadcastingReductionsNorm partial reductions \endlink.
+  *
+  * \sa norm()
+  */
+template<typename Derived>
+template<int p>
+#ifndef EIGEN_PARSED_BY_DOXYGEN
+inline typename NumTraits<typename internal::traits<Derived>::Scalar>::Real
+#else
+MatrixBase<Derived>::RealScalar
+#endif
+MatrixBase<Derived>::lpNorm() const
+{
+  return internal::lpNorm_selector<Derived, p>::run(*this);
+}
+
+//---------- implementation of isOrthogonal / isUnitary ----------
+
+/** \returns true if *this is approximately orthogonal to \a other,
+  *          within the precision given by \a prec.
+  *
+  * Example: \include MatrixBase_isOrthogonal.cpp
+  * Output: \verbinclude MatrixBase_isOrthogonal.out
+  */
+template<typename Derived>
+template<typename OtherDerived>
+bool MatrixBase<Derived>::isOrthogonal
+(const MatrixBase<OtherDerived>& other, const RealScalar& prec) const
+{
+  typename internal::nested_eval<Derived,2>::type nested(derived());
+  typename internal::nested_eval<OtherDerived,2>::type otherNested(other.derived());
+  return numext::abs2(nested.dot(otherNested)) <= prec * prec * nested.squaredNorm() * otherNested.squaredNorm();
+}
+
+/** \returns true if *this is approximately an unitary matrix,
+  *          within the precision given by \a prec. In the case where the \a Scalar
+  *          type is real numbers, a unitary matrix is an orthogonal matrix, whence the name.
+  *
+  * \note This can be used to check whether a family of vectors forms an orthonormal basis.
+  *       Indeed, \c m.isUnitary() returns true if and only if the columns (equivalently, the rows) of m form an
+  *       orthonormal basis.
+  *
+  * Example: \include MatrixBase_isUnitary.cpp
+  * Output: \verbinclude MatrixBase_isUnitary.out
+  */
+template<typename Derived>
+bool MatrixBase<Derived>::isUnitary(const RealScalar& prec) const
+{
+  typename internal::nested_eval<Derived,1>::type self(derived());
+  for(Index i = 0; i < cols(); ++i)
+  {
+    if(!internal::isApprox(self.col(i).squaredNorm(), static_cast<RealScalar>(1), prec))
+      return false;
+    for(Index j = 0; j < i; ++j)
+      if(!internal::isMuchSmallerThan(self.col(i).dot(self.col(j)), static_cast<Scalar>(1), prec))
+        return false;
+  }
+  return true;
+}
+
+} // end namespace Eigen
+
+#endif // EIGEN_DOT_H
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h	(revision 3761)
@@ -0,0 +1,1138 @@
+// This file is part of Eigen, a lightweight C++ template library
+// for linear algebra.
+//
+// Copyright (C) 2006-2008 Benoit Jacob <jacob.benoit.1@gmail.com>
+// Copyright (C) 2008-2010 Gael Guennebaud <gael.guennebaud@inria.fr>
+// Copyright (C) 2011 Jitse Niesen <jitse@maths.leeds.ac.uk>
+//
+// This Source Code Form is subject to the terms of the Mozilla
+// Public License v. 2.0. If a copy of the MPL was not distributed
+// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
+
+
+#ifndef EIGEN_PRODUCTEVALUATORS_H
+#define EIGEN_PRODUCTEVALUATORS_H
+
+namespace Eigen {
+  
+namespace internal {
+
+/** \internal
+  * Evaluator of a product expression.
+  * Since products require special treatments to handle all possible cases,
+  * we simply deffer the evaluation logic to a product_evaluator class
+  * which offers more partial specialization possibilities.
+  * 
+  * \sa class product_evaluator
+  */
+template<typename Lhs, typename Rhs, int Options>
+struct evaluator<Product<Lhs, Rhs, Options> > 
+ : public product_evaluator<Product<Lhs, Rhs, Options> >
+{
+  typedef Product<Lhs, Rhs, Options> XprType;
+  typedef product_evaluator<XprType> Base;
+  
+  EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {}
+};
+ 
+// Catch "scalar * ( A * B )" and transform it to "(A*scalar) * B"
+// TODO we should apply that rule only if that's really helpful
+template<typename Lhs, typename Rhs, typename Scalar1, typename Scalar2, typename Plain1>
+struct evaluator_assume_aliasing<CwiseBinaryOp<internal::scalar_product_op<Scalar1,Scalar2>,
+                                               const CwiseNullaryOp<internal::scalar_constant_op<Scalar1>, Plain1>,
+                                               const Product<Lhs, Rhs, DefaultProduct> > >
+{
+  static const bool value = true;
+};
+template<typename Lhs, typename Rhs, typename Scalar1, typename Scalar2, typename Plain1>
+struct evaluator<CwiseBinaryOp<internal::scalar_product_op<Scalar1,Scalar2>,
+                               const CwiseNullaryOp<internal::scalar_constant_op<Scalar1>, Plain1>,
+                               const Product<Lhs, Rhs, DefaultProduct> > >
+ : public evaluator<Product<EIGEN_SCALAR_BINARYOP_EXPR_RETURN_TYPE(Scalar1,Lhs,product), Rhs, DefaultProduct> >
+{
+  typedef CwiseBinaryOp<internal::scalar_product_op<Scalar1,Scalar2>,
+                               const CwiseNullaryOp<internal::scalar_constant_op<Scalar1>, Plain1>,
+                               const Product<Lhs, Rhs, DefaultProduct> > XprType;
+  typedef evaluator<Product<EIGEN_SCALAR_BINARYOP_EXPR_RETURN_TYPE(Scalar1,Lhs,product), Rhs, DefaultProduct> > Base;
+
+  EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr)
+    : Base(xpr.lhs().functor().m_other * xpr.rhs().lhs() * xpr.rhs().rhs())
+  {}
+};
+
+
+template<typename Lhs, typename Rhs, int DiagIndex>
+struct evaluator<Diagonal<const Product<Lhs, Rhs, DefaultProduct>, DiagIndex> > 
+ : public evaluator<Diagonal<const Product<Lhs, Rhs, LazyProduct>, DiagIndex> >
+{
+  typedef Diagonal<const Product<Lhs, Rhs, DefaultProduct>, DiagIndex> XprType;
+  typedef evaluator<Diagonal<const Product<Lhs, Rhs, LazyProduct>, DiagIndex> > Base;
+  
+  EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr)
+    : Base(Diagonal<const Product<Lhs, Rhs, LazyProduct>, DiagIndex>(
+        Product<Lhs, Rhs, LazyProduct>(xpr.nestedExpression().lhs(), xpr.nestedExpression().rhs()),
+        xpr.index() ))
+  {}
+};
+
+
+// Helper class to perform a matrix product with the destination at hand.
+// Depending on the sizes of the factors, there are different evaluation strategies
+// as controlled by internal::product_type.
+template< typename Lhs, typename Rhs,
+          typename LhsShape = typename evaluator_traits<Lhs>::Shape,
+          typename RhsShape = typename evaluator_traits<Rhs>::Shape,
+          int ProductType = internal::product_type<Lhs,Rhs>::value>
+struct generic_product_impl;
+
+template<typename Lhs, typename Rhs>
+struct evaluator_assume_aliasing<Product<Lhs, Rhs, DefaultProduct> > {
+  static const bool value = true;
+};
+
+// This is the default evaluator implementation for products:
+// It creates a temporary and call generic_product_impl
+template<typename Lhs, typename Rhs, int Options, int ProductTag, typename LhsShape, typename RhsShape>
+struct product_evaluator<Product<Lhs, Rhs, Options>, ProductTag, LhsShape, RhsShape>
+  : public evaluator<typename Product<Lhs, Rhs, Options>::PlainObject>
+{
+  typedef Product<Lhs, Rhs, Options> XprType;
+  typedef typename XprType::PlainObject PlainObject;
+  typedef evaluator<PlainObject> Base;
+  enum {
+    Flags = Base::Flags | EvalBeforeNestingBit
+  };
+
+  EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE
+  explicit product_evaluator(const XprType& xpr)
+    : m_result(xpr.rows(), xpr.cols())
+  {
+    ::new (static_cast<Base*>(this)) Base(m_result);
+    
+// FIXME shall we handle nested_eval here?,
+// if so, then we must take care at removing the call to nested_eval in the specializations (e.g., in permutation_matrix_product, transposition_matrix_product, etc.)
+//     typedef typename internal::nested_eval<Lhs,Rhs::ColsAtCompileTime>::type LhsNested;
+//     typedef typename internal::nested_eval<Rhs,Lhs::RowsAtCompileTime>::type RhsNested;
+//     typedef typename internal::remove_all<LhsNested>::type LhsNestedCleaned;
+//     typedef typename internal::remove_all<RhsNested>::type RhsNestedCleaned;
+//     
+//     const LhsNested lhs(xpr.lhs());
+//     const RhsNested rhs(xpr.rhs());
+//   
+//     generic_product_impl<LhsNestedCleaned, RhsNestedCleaned>::evalTo(m_result, lhs, rhs);
+
+    generic_product_impl<Lhs, Rhs, LhsShape, RhsShape, ProductTag>::evalTo(m_result, xpr.lhs(), xpr.rhs());
+  }
+  
+protected:  
+  PlainObject m_result;
+};
+
+// The following three shortcuts are enabled only if the scalar types match excatly.
+// TODO: we could enable them for different scalar types when the product is not vectorized.
+
+// Dense = Product
+template< typename DstXprType, typename Lhs, typename Rhs, int Options, typename Scalar>
+struct Assignment<DstXprType, Product<Lhs,Rhs,Options>, internal::assign_op<Scalar,Scalar>, Dense2Dense,
+  typename enable_if<(Options==DefaultProduct || Options==AliasFreeProduct)>::type>
+{
+  typedef Product<Lhs,Rhs,Options> SrcXprType;
+  static EIGEN_STRONG_INLINE
+  void run(DstXprType &dst, const SrcXprType &src, const internal::assign_op<Scalar,Scalar> &)
+  {
+    Index dstRows = src.rows();
+    Index dstCols = src.cols();
+    if((dst.rows()!=dstRows) || (dst.cols()!=dstCols))
+      dst.resize(dstRows, dstCols);
+    // FIXME shall we handle nested_eval here?
+    generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
+  }
+};
+
+// Dense += Product
+template< typename DstXprType, typename Lhs, typename Rhs, int Options, typename Scalar>
+struct Assignment<DstXprType, Product<Lhs,Rhs,Options>, internal::add_assign_op<Scalar,Scalar>, Dense2Dense,
+  typename enable_if<(Options==DefaultProduct || Options==AliasFreeProduct)>::type>
+{
+  typedef Product<Lhs,Rhs,Options> SrcXprType;
+  static EIGEN_STRONG_INLINE
+  void run(DstXprType &dst, const SrcXprType &src, const internal::add_assign_op<Scalar,Scalar> &)
+  {
+    eigen_assert(dst.rows() == src.rows() && dst.cols() == src.cols());
+    // FIXME shall we handle nested_eval here?
+    generic_product_impl<Lhs, Rhs>::addTo(dst, src.lhs(), src.rhs());
+  }
+};
+
+// Dense -= Product
+template< typename DstXprType, typename Lhs, typename Rhs, int Options, typename Scalar>
+struct Assignment<DstXprType, Product<Lhs,Rhs,Options>, internal::sub_assign_op<Scalar,Scalar>, Dense2Dense,
+  typename enable_if<(Options==DefaultProduct || Options==AliasFreeProduct)>::type>
+{
+  typedef Product<Lhs,Rhs,Options> SrcXprType;
+  static EIGEN_STRONG_INLINE
+  void run(DstXprType &dst, const SrcXprType &src, const internal::sub_assign_op<Scalar,Scalar> &)
+  {
+    eigen_assert(dst.rows() == src.rows() && dst.cols() == src.cols());
+    // FIXME shall we handle nested_eval here?
+    generic_product_impl<Lhs, Rhs>::subTo(dst, src.lhs(), src.rhs());
+  }
+};
+
+
+// Dense ?= scalar * Product
+// TODO we should apply that rule if that's really helpful
+// for instance, this is not good for inner products
+template< typename DstXprType, typename Lhs, typename Rhs, typename AssignFunc, typename Scalar, typename ScalarBis, typename Plain>
+struct Assignment<DstXprType, CwiseBinaryOp<internal::scalar_product_op<ScalarBis,Scalar>, const CwiseNullaryOp<internal::scalar_constant_op<ScalarBis>,Plain>,
+                                           const Product<Lhs,Rhs,DefaultProduct> >, AssignFunc, Dense2Dense>
+{
+  typedef CwiseBinaryOp<internal::scalar_product_op<ScalarBis,Scalar>,
+                        const CwiseNullaryOp<internal::scalar_constant_op<ScalarBis>,Plain>,
+                        const Product<Lhs,Rhs,DefaultProduct> > SrcXprType;
+  static EIGEN_STRONG_INLINE
+  void run(DstXprType &dst, const SrcXprType &src, const AssignFunc& func)
+  {
+    call_assignment_no_alias(dst, (src.lhs().functor().m_other * src.rhs().lhs())*src.rhs().rhs(), func);
+  }
+};
+
+//----------------------------------------
+// Catch "Dense ?= xpr + Product<>" expression to save one temporary
+// FIXME we could probably enable these rules for any product, i.e., not only Dense and DefaultProduct
+
+template<typename OtherXpr, typename Lhs, typename Rhs>
+struct evaluator_assume_aliasing<CwiseBinaryOp<internal::scalar_sum_op<typename OtherXpr::Scalar,typename Product<Lhs,Rhs,DefaultProduct>::Scalar>, const OtherXpr,
+                                               const Product<Lhs,Rhs,DefaultProduct> >, DenseShape > {
+  static const bool value = true;
+};
+
+template<typename OtherXpr, typename Lhs, typename Rhs>
+struct evaluator_assume_aliasing<CwiseBinaryOp<internal::scalar_difference_op<typename OtherXpr::Scalar,typename Product<Lhs,Rhs,DefaultProduct>::Scalar>, const OtherXpr,
+                                               const Product<Lhs,Rhs,DefaultProduct> >, DenseShape > {
+  static const bool value = true;
+};
+
+template<typename DstXprType, typename OtherXpr, typename ProductType, typename Func1, typename Func2>
+struct assignment_from_xpr_op_product
+{
+  template<typename SrcXprType, typename InitialFunc>
+  static EIGEN_STRONG_INLINE
+  void run(DstXprType &dst, const SrcXprType &src, const InitialFunc& /*func*/)
+  {
+    call_assignment_no_alias(dst, src.lhs(), Func1());
+    call_assignment_no_alias(dst, src.rhs(), Func2());
+  }
+};
+
+#define EIGEN_CATCH_ASSIGN_XPR_OP_PRODUCT(ASSIGN_OP,BINOP,ASSIGN_OP2) \
+  template< typename DstXprType, typename OtherXpr, typename Lhs, typename Rhs, typename DstScalar, typename SrcScalar, typename OtherScalar,typename ProdScalar> \
+  struct Assignment<DstXprType, CwiseBinaryOp<internal::BINOP<OtherScalar,ProdScalar>, const OtherXpr, \
+                                            const Product<Lhs,Rhs,DefaultProduct> >, internal::ASSIGN_OP<DstScalar,SrcScalar>, Dense2Dense> \
+    : assignment_from_xpr_op_product<DstXprType, OtherXpr, Product<Lhs,Rhs,DefaultProduct>, internal::ASSIGN_OP<DstScalar,OtherScalar>, internal::ASSIGN_OP2<DstScalar,ProdScalar> > \
+  {}
+
+EIGEN_CATCH_ASSIGN_XPR_OP_PRODUCT(assign_op,    scalar_sum_op,add_assign_op);
+EIGEN_CATCH_ASSIGN_XPR_OP_PRODUCT(add_assign_op,scalar_sum_op,add_assign_op);
+EIGEN_CATCH_ASSIGN_XPR_OP_PRODUCT(sub_assign_op,scalar_sum_op,sub_assign_op);
+
+EIGEN_CATCH_ASSIGN_XPR_OP_PRODUCT(assign_op,    scalar_difference_op,sub_assign_op);
+EIGEN_CATCH_ASSIGN_XPR_OP_PRODUCT(add_assign_op,scalar_difference_op,sub_assign_op);
+EIGEN_CATCH_ASSIGN_XPR_OP_PRODUCT(sub_assign_op,scalar_difference_op,add_assign_op);
+
+//----------------------------------------
+
+template<typename Lhs, typename Rhs>
+struct generic_product_impl<Lhs,Rhs,DenseShape,DenseShape,InnerProduct>
+{
+  template<typename Dst>
+  static EIGEN_STRONG_INLINE void evalTo(Dst& dst, const Lhs& lhs, const Rhs& rhs)
+  {
+    dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum();
+  }
+  
+  template<typename Dst>
+  static EIGEN_STRONG_INLINE void addTo(Dst& dst, const Lhs& lhs, const Rhs& rhs)
+  {
+    dst.coeffRef(0,0) += (lhs.transpose().cwiseProduct(rhs)).sum();
+  }
+  
+  template<typename Dst>
+  static EIGEN_STRONG_INLINE void subTo(Dst& dst, const Lhs& lhs, const Rhs& rhs)
+  { dst.coeffRef(0,0) -= (lhs.transpose().cwiseProduct(rhs)).sum(); }
+};
+
+
+/***********************************************************************
+*  Implementation of outer dense * dense vector product
+***********************************************************************/
+
+// Column major result
+template<typename Dst, typename Lhs, typename Rhs, typename Func>
+void outer_product_selector_run(Dst& dst, const Lhs &lhs, const Rhs &rhs, const Func& func, const false_type&)
+{
+  evaluator<Rhs> rhsEval(rhs);
+  typename nested_eval<Lhs,Rhs::SizeAtCompileTime>::type actual_lhs(lhs);
+  // FIXME if cols is large enough, then it might be useful to make sure that lhs is sequentially stored
+  // FIXME not very good if rhs is real and lhs complex while alpha is real too
+  const Index cols = dst.cols();
+  for (Index j=0; j<cols; ++j)
+    func(dst.col(j), rhsEval.coeff(Index(0),j) * actual_lhs);
+}
+
+// Row major result
+template<typename Dst, typename Lhs, typename Rhs, typename Func>
+void outer_product_selector_run(Dst& dst, const Lhs &lhs, const Rhs &rhs, const Func& func, const true_type&)
+{
+  evaluator<Lhs> lhsEval(lhs);
+  typename nested_eval<Rhs,Lhs::SizeAtCompileTime>::type actual_rhs(rhs);
+  // FIXME if rows is large enough, then it might be useful to make sure that rhs is sequentially stored
+  // FIXME not very good if lhs is real and rhs complex while alpha is real too
+  const Index rows = dst.rows();
+  for (Index i=0; i<rows; ++i)
+    func(dst.row(i), lhsEval.coeff(i,Index(0)) * actual_rhs);
+}
+
+template<typename Lhs, typename Rhs>
+struct generic_product_impl<Lhs,Rhs,DenseShape,DenseShape,OuterProduct>
+{
+  template<typename T> struct is_row_major : internal::conditional<(int(T::Flags)&RowMajorBit), internal::true_type, internal::false_type>::type {};
+  typedef typename Product<Lhs,Rhs>::Scalar Scalar;
+  
+  // TODO it would be nice to be able to exploit our *_assign_op functors for that purpose
+  struct set  { template<typename Dst, typename Src> void operator()(const Dst& dst, const Src& src) const { dst.const_cast_derived()  = src; } };
+  struct add  { template<typename Dst, typename Src> void operator()(const Dst& dst, const Src& src) const { dst.const_cast_derived() += src; } };
+  struct sub  { template<typename Dst, typename Src> void operator()(const Dst& dst, const Src& src) const { dst.const_cast_derived() -= src; } };
+  struct adds {
+    Scalar m_scale;
+    explicit adds(const Scalar& s) : m_scale(s) {}
+    template<typename Dst, typename Src> void operator()(const Dst& dst, const Src& src) const {
+      dst.const_cast_derived() += m_scale * src;
+    }
+  };
+  
+  template<typename Dst>
+  static EIGEN_STRONG_INLINE void evalTo(Dst& dst, const Lhs& lhs, const Rhs& rhs)
+  {
+    internal::outer_product_selector_run(dst, lhs, rhs, set(), is_row_major<Dst>());
+  }
+  
+  template<typename Dst>
+  static EIGEN_STRONG_INLINE void addTo(Dst& dst, const Lhs& lhs, const Rhs& rhs)
+  {
+    internal::outer_product_selector_run(dst, lhs, rhs, add(), is_row_major<Dst>());
+  }
+  
+  template<typename Dst>
+  static EIGEN_STRONG_INLINE void subTo(Dst& dst, const Lhs& lhs, const Rhs& rhs)
+  {
+    internal::outer_product_selector_run(dst, lhs, rhs, sub(), is_row_major<Dst>());
+  }
+  
+  template<typename Dst>
+  static EIGEN_STRONG_INLINE void scaleAndAddTo(Dst& dst, const Lhs& lhs, const Rhs& rhs, const Scalar& alpha)
+  {
+    internal::outer_product_selector_run(dst, lhs, rhs, adds(alpha), is_row_major<Dst>());
+  }
+  
+};
+
+
+// This base class provides default implementations for evalTo, addTo, subTo, in terms of scaleAndAddTo
+template<typename Lhs, typename Rhs, typename Derived>
+struct generic_product_impl_base
+{
+  typedef typename Product<Lhs,Rhs>::Scalar Scalar;
+  
+  template<typename Dst>
+  static EIGEN_STRONG_INLINE void evalTo(Dst& dst, const Lhs& lhs, const Rhs& rhs)
+  { dst.setZero(); scaleAndAddTo(dst, lhs, rhs, Scalar(1)); }
+
+  template<typename Dst>
+  static EIGEN_STRONG_INLINE void addTo(Dst& dst, const Lhs& lhs, const Rhs& rhs)
+  { scaleAndAddTo(dst,lhs, rhs, Scalar(1)); }
+
+  template<typename Dst>
+  static EIGEN_STRONG_INLINE void subTo(Dst& dst, const Lhs& lhs, const Rhs& rhs)
+  { scaleAndAddTo(dst, lhs, rhs, Scalar(-1)); }
+  
+  template<typename Dst>
+  static EIGEN_STRONG_INLINE void scaleAndAddTo(Dst& dst, const Lhs& lhs, const Rhs& rhs, const Scalar& alpha)
+  { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); }
+
+};
+
+template<typename Lhs, typename Rhs>
+struct generic_product_impl<Lhs,Rhs,DenseShape,DenseShape,GemvProduct>
+  : generic_product_impl_base<Lhs,Rhs,generic_product_impl<Lhs,Rhs,DenseShape,DenseShape,GemvProduct> >
+{
+  typedef typename nested_eval<Lhs,1>::type LhsNested;
+  typedef typename nested_eval<Rhs,1>::type RhsNested;
+  typedef typename Product<Lhs,Rhs>::Scalar Scalar;
+  enum { Side = Lhs::IsVectorAtCompileTime ? OnTheLeft : OnTheRight };
+  typedef typename internal::remove_all<typename internal::conditional<int(Side)==OnTheRight,LhsNested,RhsNested>::type>::type MatrixType;
+
+  template<typename Dest>
+  static EIGEN_STRONG_INLINE void scaleAndAddTo(Dest& dst, const Lhs& lhs, const Rhs& rhs, const Scalar& alpha)
+  {
+    LhsNested actual_lhs(lhs);
+    RhsNested actual_rhs(rhs);
+    internal::gemv_dense_selector<Side,
+                            (int(MatrixType::Flags)&RowMajorBit) ? RowMajor : ColMajor,
+                            bool(internal::blas_traits<MatrixType>::HasUsableDirectAccess)
+                           >::run(actual_lhs, actual_rhs, dst, alpha);
+  }
+};
+
+template<typename Lhs, typename Rhs>
+struct generic_product_impl<Lhs,Rhs,DenseShape,DenseShape,CoeffBasedProductMode> 
+{
+  typedef typename Product<Lhs,Rhs>::Scalar Scalar;
+  
+  template<typename Dst>
+  static EIGEN_STRONG_INLINE void evalTo(Dst& dst, const Lhs& lhs, const Rhs& rhs)
+  {
+    // Same as: dst.noalias() = lhs.lazyProduct(rhs);
+    // but easier on the compiler side
+    call_assignment_no_alias(dst, lhs.lazyProduct(rhs), internal::assign_op<typename Dst::Scalar,Scalar>());
+  }
+
+  template<typename Dst>
+  static EIGEN_STRONG_INLINE void addTo(Dst& dst, const Lhs& lhs, const Rhs& rhs)
+  {
+    // dst.noalias() += lhs.lazyProduct(rhs);
+    call_assignment_no_alias(dst, lhs.lazyProduct(rhs), internal::add_assign_op<typename Dst::Scalar,Scalar>());
+  }
+  
+  template<typename Dst>
+  static EIGEN_STRONG_INLINE void subTo(Dst& dst, const Lhs& lhs, const Rhs& rhs)
+  {
+    // dst.noalias() -= lhs.lazyProduct(rhs);
+    call_assignment_no_alias(dst, lhs.lazyProduct(rhs), internal::sub_assign_op<typename Dst::Scalar,Scalar>());
+  }
+
+  // Catch "dst {,+,-}= (s*A)*B" and evaluate it lazily by moving out the scalar factor:
+  //    dst {,+,-}= s * (A.lazyProduct(B))
+  // This is a huge benefit for heap-allocated matrix types as it save one costly allocation.
+  // For them, this strategy is also faster than simply by-passing the heap allocation through
+  // stack allocation.
+  // For fixed sizes matrices, this is less obvious, it is sometimes x2 faster, but sometimes x3 slower,
+  // and the behavior depends also a lot on the compiler... so let's be conservative and enable them for dynamic-size only,
+  // that is when coming from generic_product_impl<...,GemmProduct> in file GeneralMatrixMatrix.h
+  template<typename Dst, typename Scalar1, typename Scalar2, typename Plain1, typename Xpr2, typename Func>
+  static EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE
+  void eval_dynamic(Dst& dst, const CwiseBinaryOp<internal::scalar_product_op<Scalar1,Scalar2>,
+                                           const CwiseNullaryOp<internal::scalar_constant_op<Scalar1>, Plain1>, Xpr2>& lhs, const Rhs& rhs, const Func &func)
+  {
+    call_assignment_no_alias(dst, lhs.lhs().functor().m_other * lhs.rhs().lazyProduct(rhs), func);
+  }
+
+  // Here, we we always have LhsT==Lhs, but we need to make it a template type to make the above
+  // overload more specialized.
+  template<typename Dst, typename LhsT, typename Func>
+  static EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE
+  void eval_dynamic(Dst& dst, const LhsT& lhs, const Rhs& rhs, const Func &func)
+  {
+    call_assignment_no_alias(dst, lhs.lazyProduct(rhs), func);
+  }
+  
+  
+//   template<typename Dst>
+//   static inline void scaleAndAddTo(Dst& dst, const Lhs& lhs, const Rhs& rhs, const Scalar& alpha)
+//   { dst.noalias() += alpha * lhs.lazyProduct(rhs); }
+};
+
+// This specialization enforces the use of a coefficient-based evaluation strategy
+template<typename Lhs, typename Rhs>
+struct generic_product_impl<Lhs,Rhs,DenseShape,DenseShape,LazyCoeffBasedProductMode>
+  : generic_product_impl<Lhs,Rhs,DenseShape,DenseShape,CoeffBasedProductMode> {};
+
+// Case 2: Evaluate coeff by coeff
+//
+// This is mostly taken from CoeffBasedProduct.h
+// The main difference is that we add an extra argument to the etor_product_*_impl::run() function
+// for the inner dimension of the product, because evaluator object do not know their size.
+
+template<int Traversal, int UnrollingIndex, typename Lhs, typename Rhs, typename RetScalar>
+struct etor_product_coeff_impl;
+
+template<int StorageOrder, int UnrollingIndex, typename Lhs, typename Rhs, typename Packet, int LoadMode>
+struct etor_product_packet_impl;
+
+template<typename Lhs, typename Rhs, int ProductTag>
+struct product_evaluator<Product<Lhs, Rhs, LazyProduct>, ProductTag, DenseShape, DenseShape>
+    : evaluator_base<Product<Lhs, Rhs, LazyProduct> >
+{
+  typedef Product<Lhs, Rhs, LazyProduct> XprType;
+  typedef typename XprType::Scalar Scalar;
+  typedef typename XprType::CoeffReturnType CoeffReturnType;
+
+  EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE
+  explicit product_evaluator(const XprType& xpr)
+    : m_lhs(xpr.lhs()),
+      m_rhs(xpr.rhs()),
+      m_lhsImpl(m_lhs),     // FIXME the creation of the evaluator objects should result in a no-op, but check that!
+      m_rhsImpl(m_rhs),     //       Moreover, they are only useful for the packet path, so we could completely disable them when not needed,
+                            //       or perhaps declare them on the fly on the packet method... We have experiment to check what's best.
+      m_innerDim(xpr.lhs().cols())
+  {
+    EIGEN_INTERNAL_CHECK_COST_VALUE(NumTraits<Scalar>::MulCost);
+    EIGEN_INTERNAL_CHECK_COST_VALUE(NumTraits<Scalar>::AddCost);
+    EIGEN_INTERNAL_CHECK_COST_VALUE(CoeffReadCost);
+#if 0
+    std::cerr << "LhsOuterStrideBytes=  " << LhsOuterStrideBytes << "\n";
+    std::cerr << "RhsOuterStrideBytes=  " << RhsOuterStrideBytes << "\n";
+    std::cerr << "LhsAlignment=         " << LhsAlignment << "\n";
+    std::cerr << "RhsAlignment=         " << RhsAlignment << "\n";
+    std::cerr << "CanVectorizeLhs=      " << CanVectorizeLhs << "\n";
+    std::cerr << "CanVectorizeRhs=      " << CanVectorizeRhs << "\n";
+    std::cerr << "CanVectorizeInner=    " << CanVectorizeInner << "\n";
+    std::cerr << "EvalToRowMajor=       " << EvalToRowMajor << "\n";
+    std::cerr << "Alignment=            " << Alignment << "\n";
+    std::cerr << "Flags=                " << Flags << "\n";
+#endif
+  }
+
+  // Everything below here is taken from CoeffBasedProduct.h
+
+  typedef typename internal::nested_eval<Lhs,Rhs::ColsAtCompileTime>::type LhsNested;
+  typedef typename internal::nested_eval<Rhs,Lhs::RowsAtCompileTime>::type RhsNested;
+  
+  typedef typename internal::remove_all<LhsNested>::type LhsNestedCleaned;
+  typedef typename internal::remove_all<RhsNested>::type RhsNestedCleaned;
+
+  typedef evaluator<LhsNestedCleaned> LhsEtorType;
+  typedef evaluator<RhsNestedCleaned> RhsEtorType;
+
+  enum {
+    RowsAtCompileTime = LhsNestedCleaned::RowsAtCompileTime,
+    ColsAtCompileTime = RhsNestedCleaned::ColsAtCompileTime,
+    InnerSize = EIGEN_SIZE_MIN_PREFER_FIXED(LhsNestedCleaned::ColsAtCompileTime, RhsNestedCleaned::RowsAtCompileTime),
+    MaxRowsAtCompileTime = LhsNestedCleaned::MaxRowsAtCompileTime,
+    MaxColsAtCompileTime = RhsNestedCleaned::MaxColsAtCompileTime
+  };
+
+  typedef typename find_best_packet<Scalar,RowsAtCompileTime>::type LhsVecPacketType;
+  typedef typename find_best_packet<Scalar,ColsAtCompileTime>::type RhsVecPacketType;
+
+  enum {
+      
+    LhsCoeffReadCost = LhsEtorType::CoeffReadCost,
+    RhsCoeffReadCost = RhsEtorType::CoeffReadCost,
+    CoeffReadCost = InnerSize==0 ? NumTraits<Scalar>::ReadCost
+                  : InnerSize == Dynamic ? HugeCost
+                  : InnerSize * (NumTraits<Scalar>::MulCost + LhsCoeffReadCost + RhsCoeffReadCost)
+                    + (InnerSize - 1) * NumTraits<Scalar>::AddCost,
+
+    Unroll = CoeffReadCost <= EIGEN_UNROLLING_LIMIT,
+    
+    LhsFlags = LhsEtorType::Flags,
+    RhsFlags = RhsEtorType::Flags,
+    
+    LhsRowMajor = LhsFlags & RowMajorBit,
+    RhsRowMajor = RhsFlags & RowMajorBit,
+
+    LhsVecPacketSize = unpacket_traits<LhsVecPacketType>::size,
+    RhsVecPacketSize = unpacket_traits<RhsVecPacketType>::size,
+
+    // Here, we don't care about alignment larger than the usable packet size.
+    LhsAlignment = EIGEN_PLAIN_ENUM_MIN(LhsEtorType::Alignment,LhsVecPacketSize*int(sizeof(typename LhsNestedCleaned::Scalar))),
+    RhsAlignment = EIGEN_PLAIN_ENUM_MIN(RhsEtorType::Alignment,RhsVecPacketSize*int(sizeof(typename RhsNestedCleaned::Scalar))),
+      
+    SameType = is_same<typename LhsNestedCleaned::Scalar,typename RhsNestedCleaned::Scalar>::value,
+
+    CanVectorizeRhs = bool(RhsRowMajor) && (RhsFlags & PacketAccessBit) && (ColsAtCompileTime!=1),
+    CanVectorizeLhs = (!LhsRowMajor) && (LhsFlags & PacketAccessBit) && (RowsAtCompileTime!=1),
+
+    EvalToRowMajor = (MaxRowsAtCompileTime==1&&MaxColsAtCompileTime!=1) ? 1
+                    : (MaxColsAtCompileTime==1&&MaxRowsAtCompileTime!=1) ? 0
+                    : (bool(RhsRowMajor) && !CanVectorizeLhs),
+
+    Flags = ((unsigned int)(LhsFlags | RhsFlags) & HereditaryBits & ~RowMajorBit)
+          | (EvalToRowMajor ? RowMajorBit : 0)
+          // TODO enable vectorization for mixed types
+          | (SameType && (CanVectorizeLhs || CanVectorizeRhs) ? PacketAccessBit : 0)
+          | (XprType::IsVectorAtCompileTime ? LinearAccessBit : 0),
+          
+    LhsOuterStrideBytes = int(LhsNestedCleaned::OuterStrideAtCompileTime) * int(sizeof(typename LhsNestedCleaned::Scalar)),
+    RhsOuterStrideBytes = int(RhsNestedCleaned::OuterStrideAtCompileTime) * int(sizeof(typename RhsNestedCleaned::Scalar)),
+
+    Alignment = bool(CanVectorizeLhs) ? (LhsOuterStrideBytes<=0 || (int(LhsOuterStrideBytes) % EIGEN_PLAIN_ENUM_MAX(1,LhsAlignment))!=0 ? 0 : LhsAlignment)
+              : bool(CanVectorizeRhs) ? (RhsOuterStrideBytes<=0 || (int(RhsOuterStrideBytes) % EIGEN_PLAIN_ENUM_MAX(1,RhsAlignment))!=0 ? 0 : RhsAlignment)
+              : 0,
+
+    /* CanVectorizeInner deserves special explanation. It does not affect the product flags. It is not used outside
+     * of Product. If the Product itself is not a packet-access expression, there is still a chance that the inner
+     * loop of the product might be vectorized. This is the meaning of CanVectorizeInner. Since it doesn't affect
+     * the Flags, it is safe to make this value depend on ActualPacketAccessBit, that doesn't affect the ABI.
+     */
+    CanVectorizeInner =    SameType
+                        && LhsRowMajor
+                        && (!RhsRowMajor)
+                        && (LhsFlags & RhsFlags & ActualPacketAccessBit)
+                        && (InnerSize % packet_traits<Scalar>::size == 0)
+  };
+  
+  EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE const CoeffReturnType coeff(Index row, Index col) const
+  {
+    return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum();
+  }
+
+  /* Allow index-based non-packet access. It is impossible though to allow index-based packed access,
+   * which is why we don't set the LinearAccessBit.
+   * TODO: this seems possible when the result is a vector
+   */
+  EIGEN_DEVICE_FUNC const CoeffReturnType coeff(Index index) const
+  {
+    const Index row = (RowsAtCompileTime == 1 || MaxRowsAtCompileTime==1) ? 0 : index;
+    const Index col = (RowsAtCompileTime == 1 || MaxRowsAtCompileTime==1) ? index : 0;
+    return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum();
+  }
+
+  template<int LoadMode, typename PacketType>
+  const PacketType packet(Index row, Index col) const
+  {
+    PacketType res;
+    typedef etor_product_packet_impl<bool(int(Flags)&RowMajorBit) ? RowMajor : ColMajor,
+                                     Unroll ? int(InnerSize) : Dynamic,
+                                     LhsEtorType, RhsEtorType, PacketType, LoadMode> PacketImpl;
+    PacketImpl::run(row, col, m_lhsImpl, m_rhsImpl, m_innerDim, res);
+    return res;
+  }
+
+  template<int LoadMode, typename PacketType>
+  const PacketType packet(Index index) const
+  {
+    const Index row = (RowsAtCompileTime == 1 || MaxRowsAtCompileTime==1) ? 0 : index;
+    const Index col = (RowsAtCompileTime == 1 || MaxRowsAtCompileTime==1) ? index : 0;
+    return packet<LoadMode,PacketType>(row,col);
+  }
+
+protected:
+  typename internal::add_const_on_value_type<LhsNested>::type m_lhs;
+  typename internal::add_const_on_value_type<RhsNested>::type m_rhs;
+  
+  LhsEtorType m_lhsImpl;
+  RhsEtorType m_rhsImpl;
+
+  // TODO: Get rid of m_innerDim if known at compile time
+  Index m_innerDim;
+};
+
+template<typename Lhs, typename Rhs>
+struct product_evaluator<Product<Lhs, Rhs, DefaultProduct>, LazyCoeffBasedProductMode, DenseShape, DenseShape>
+  : product_evaluator<Product<Lhs, Rhs, LazyProduct>, CoeffBasedProductMode, DenseShape, DenseShape>
+{
+  typedef Product<Lhs, Rhs, DefaultProduct> XprType;
+  typedef Product<Lhs, Rhs, LazyProduct> BaseProduct;
+  typedef product_evaluator<BaseProduct, CoeffBasedProductMode, DenseShape, DenseShape> Base;
+  enum {
+    Flags = Base::Flags | EvalBeforeNestingBit
+  };
+  EIGEN_DEVICE_FUNC explicit product_evaluator(const XprType& xpr)
+    : Base(BaseProduct(xpr.lhs(),xpr.rhs()))
+  {}
+};
+
+/****************************************
+*** Coeff based product, Packet path  ***
+****************************************/
+
+template<int UnrollingIndex, typename Lhs, typename Rhs, typename Packet, int LoadMode>
+struct etor_product_packet_impl<RowMajor, UnrollingIndex, Lhs, Rhs, Packet, LoadMode>
+{
+  static EIGEN_STRONG_INLINE void run(Index row, Index col, const Lhs& lhs, const Rhs& rhs, Index innerDim, Packet &res)
+  {
+    etor_product_packet_impl<RowMajor, UnrollingIndex-1, Lhs, Rhs, Packet, LoadMode>::run(row, col, lhs, rhs, innerDim, res);
+    res =  pmadd(pset1<Packet>(lhs.coeff(row, Index(UnrollingIndex-1))), rhs.template packet<LoadMode,Packet>(Index(UnrollingIndex-1), col), res);
+  }
+};
+
+template<int UnrollingIndex, typename Lhs, typename Rhs, typename Packet, int LoadMode>
+struct etor_product_packet_impl<ColMajor, UnrollingIndex, Lhs, Rhs, Packet, LoadMode>
+{
+  static EIGEN_STRONG_INLINE void run(Index row, Index col, const Lhs& lhs, const Rhs& rhs, Index innerDim, Packet &res)
+  {
+    etor_product_packet_impl<ColMajor, UnrollingIndex-1, Lhs, Rhs, Packet, LoadMode>::run(row, col, lhs, rhs, innerDim, res);
+    res =  pmadd(lhs.template packet<LoadMode,Packet>(row, Index(UnrollingIndex-1)), pset1<Packet>(rhs.coeff(Index(UnrollingIndex-1), col)), res);
+  }
+};
+
+template<typename Lhs, typename Rhs, typename Packet, int LoadMode>
+struct etor_product_packet_impl<RowMajor, 1, Lhs, Rhs, Packet, LoadMode>
+{
+  static EIGEN_STRONG_INLINE void run(Index row, Index col, const Lhs& lhs, const Rhs& rhs, Index /*innerDim*/, Packet &res)
+  {
+    res = pmul(pset1<Packet>(lhs.coeff(row, Index(0))),rhs.template packet<LoadMode,Packet>(Index(0), col));
+  }
+};
+
+template<typename Lhs, typename Rhs, typename Packet, int LoadMode>
+struct etor_product_packet_impl<ColMajor, 1, Lhs, Rhs, Packet, LoadMode>
+{
+  static EIGEN_STRONG_INLINE void run(Index row, Index col, const Lhs& lhs, const Rhs& rhs, Index /*innerDim*/, Packet &res)
+  {
+    res = pmul(lhs.template packet<LoadMode,Packet>(row, Index(0)), pset1<Packet>(rhs.coeff(Index(0), col)));
+  }
+};
+
+template<typename Lhs, typename Rhs, typename Packet, int LoadMode>
+struct etor_product_packet_impl<RowMajor, 0, Lhs, Rhs, Packet, LoadMode>
+{
+  static EIGEN_STRONG_INLINE void run(Index /*row*/, Index /*col*/, const Lhs& /*lhs*/, const Rhs& /*rhs*/, Index /*innerDim*/, Packet &res)
+  {
+    res = pset1<Packet>(typename unpacket_traits<Packet>::type(0));
+  }
+};
+
+template<typename Lhs, typename Rhs, typename Packet, int LoadMode>
+struct etor_product_packet_impl<ColMajor, 0, Lhs, Rhs, Packet, LoadMode>
+{
+  static EIGEN_STRONG_INLINE void run(Index /*row*/, Index /*col*/, const Lhs& /*lhs*/, const Rhs& /*rhs*/, Index /*innerDim*/, Packet &res)
+  {
+    res = pset1<Packet>(typename unpacket_traits<Packet>::type(0));
+  }
+};
+
+template<typename Lhs, typename Rhs, typename Packet, int LoadMode>
+struct etor_product_packet_impl<RowMajor, Dynamic, Lhs, Rhs, Packet, LoadMode>
+{
+  static EIGEN_STRONG_INLINE void run(Index row, Index col, const Lhs& lhs, const Rhs& rhs, Index innerDim, Packet& res)
+  {
+    res = pset1<Packet>(typename unpacket_traits<Packet>::type(0));
+    for(Index i = 0; i < innerDim; ++i)
+      res =  pmadd(pset1<Packet>(lhs.coeff(row, i)), rhs.template packet<LoadMode,Packet>(i, col), res);
+  }
+};
+
+template<typename Lhs, typename Rhs, typename Packet, int LoadMode>
+struct etor_product_packet_impl<ColMajor, Dynamic, Lhs, Rhs, Packet, LoadMode>
+{
+  static EIGEN_STRONG_INLINE void run(Index row, Index col, const Lhs& lhs, const Rhs& rhs, Index innerDim, Packet& res)
+  {
+    res = pset1<Packet>(typename unpacket_traits<Packet>::type(0));
+    for(Index i = 0; i < innerDim; ++i)
+      res =  pmadd(lhs.template packet<LoadMode,Packet>(row, i), pset1<Packet>(rhs.coeff(i, col)), res);
+  }
+};
+
+
+/***************************************************************************
+* Triangular products
+***************************************************************************/
+template<int Mode, bool LhsIsTriangular,
+         typename Lhs, bool LhsIsVector,
+         typename Rhs, bool RhsIsVector>
+struct triangular_product_impl;
+
+template<typename Lhs, typename Rhs, int ProductTag>
+struct generic_product_impl<Lhs,Rhs,TriangularShape,DenseShape,ProductTag>
+  : generic_product_impl_base<Lhs,Rhs,generic_product_impl<Lhs,Rhs,TriangularShape,DenseShape,ProductTag> >
+{
+  typedef typename Product<Lhs,Rhs>::Scalar Scalar;
+  
+  template<typename Dest>
+  static void scaleAndAddTo(Dest& dst, const Lhs& lhs, const Rhs& rhs, const Scalar& alpha)
+  {
+    triangular_product_impl<Lhs::Mode,true,typename Lhs::MatrixType,false,Rhs, Rhs::ColsAtCompileTime==1>
+        ::run(dst, lhs.nestedExpression(), rhs, alpha);
+  }
+};
+
+template<typename Lhs, typename Rhs, int ProductTag>
+struct generic_product_impl<Lhs,Rhs,DenseShape,TriangularShape,ProductTag>
+: generic_product_impl_base<Lhs,Rhs,generic_product_impl<Lhs,Rhs,DenseShape,TriangularShape,ProductTag> >
+{
+  typedef typename Product<Lhs,Rhs>::Scalar Scalar;
+  
+  template<typename Dest>
+  static void scaleAndAddTo(Dest& dst, const Lhs& lhs, const Rhs& rhs, const Scalar& alpha)
+  {
+    triangular_product_impl<Rhs::Mode,false,Lhs,Lhs::RowsAtCompileTime==1, typename Rhs::MatrixType, false>::run(dst, lhs, rhs.nestedExpression(), alpha);
+  }
+};
+
+
+/***************************************************************************
+* SelfAdjoint products
+***************************************************************************/
+template <typename Lhs, int LhsMode, bool LhsIsVector,
+          typename Rhs, int RhsMode, bool RhsIsVector>
+struct selfadjoint_product_impl;
+
+template<typename Lhs, typename Rhs, int ProductTag>
+struct generic_product_impl<Lhs,Rhs,SelfAdjointShape,DenseShape,ProductTag>
+  : generic_product_impl_base<Lhs,Rhs,generic_product_impl<Lhs,Rhs,SelfAdjointShape,DenseShape,ProductTag> >
+{
+  typedef typename Product<Lhs,Rhs>::Scalar Scalar;
+  
+  template<typename Dest>
+  static void scaleAndAddTo(Dest& dst, const Lhs& lhs, const Rhs& rhs, const Scalar& alpha)
+  {
+    selfadjoint_product_impl<typename Lhs::MatrixType,Lhs::Mode,false,Rhs,0,Rhs::IsVectorAtCompileTime>::run(dst, lhs.nestedExpression(), rhs, alpha);
+  }
+};
+
+template<typename Lhs, typename Rhs, int ProductTag>
+struct generic_product_impl<Lhs,Rhs,DenseShape,SelfAdjointShape,ProductTag>
+: generic_product_impl_base<Lhs,Rhs,generic_product_impl<Lhs,Rhs,DenseShape,SelfAdjointShape,ProductTag> >
+{
+  typedef typename Product<Lhs,Rhs>::Scalar Scalar;
+  
+  template<typename Dest>
+  static void scaleAndAddTo(Dest& dst, const Lhs& lhs, const Rhs& rhs, const Scalar& alpha)
+  {
+    selfadjoint_product_impl<Lhs,0,Lhs::IsVectorAtCompileTime,typename Rhs::MatrixType,Rhs::Mode,false>::run(dst, lhs, rhs.nestedExpression(), alpha);
+  }
+};
+
+
+/***************************************************************************
+* Diagonal products
+***************************************************************************/
+  
+template<typename MatrixType, typename DiagonalType, typename Derived, int ProductOrder>
+struct diagonal_product_evaluator_base
+  : evaluator_base<Derived>
+{
+   typedef typename ScalarBinaryOpTraits<typename MatrixType::Scalar, typename DiagonalType::Scalar>::ReturnType Scalar;
+public:
+  enum {
+    CoeffReadCost = NumTraits<Scalar>::MulCost + evaluator<MatrixType>::CoeffReadCost + evaluator<DiagonalType>::CoeffReadCost,
+    
+    MatrixFlags = evaluator<MatrixType>::Flags,
+    DiagFlags = evaluator<DiagonalType>::Flags,
+    _StorageOrder = MatrixFlags & RowMajorBit ? RowMajor : ColMajor,
+    _ScalarAccessOnDiag =  !((int(_StorageOrder) == ColMajor && int(ProductOrder) == OnTheLeft)
+                           ||(int(_StorageOrder) == RowMajor && int(ProductOrder) == OnTheRight)),
+    _SameTypes = is_same<typename MatrixType::Scalar, typename DiagonalType::Scalar>::value,
+    // FIXME currently we need same types, but in the future the next rule should be the one
+    //_Vectorizable = bool(int(MatrixFlags)&PacketAccessBit) && ((!_PacketOnDiag) || (_SameTypes && bool(int(DiagFlags)&PacketAccessBit))),
+    _Vectorizable = bool(int(MatrixFlags)&PacketAccessBit) && _SameTypes && (_ScalarAccessOnDiag || (bool(int(DiagFlags)&PacketAccessBit))),
+    _LinearAccessMask = (MatrixType::RowsAtCompileTime==1 || MatrixType::ColsAtCompileTime==1) ? LinearAccessBit : 0,
+    Flags = ((HereditaryBits|_LinearAccessMask) & (unsigned int)(MatrixFlags)) | (_Vectorizable ? PacketAccessBit : 0),
+    Alignment = evaluator<MatrixType>::Alignment,
+
+    AsScalarProduct =     (DiagonalType::SizeAtCompileTime==1)
+                      ||  (DiagonalType::SizeAtCompileTime==Dynamic && MatrixType::RowsAtCompileTime==1 && ProductOrder==OnTheLeft)
+                      ||  (DiagonalType::SizeAtCompileTime==Dynamic && MatrixType::ColsAtCompileTime==1 && ProductOrder==OnTheRight)
+  };
+  
+  diagonal_product_evaluator_base(const MatrixType &mat, const DiagonalType &diag)
+    : m_diagImpl(diag), m_matImpl(mat)
+  {
+    EIGEN_INTERNAL_CHECK_COST_VALUE(NumTraits<Scalar>::MulCost);
+    EIGEN_INTERNAL_CHECK_COST_VALUE(CoeffReadCost);
+  }
+  
+  EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE const Scalar coeff(Index idx) const
+  {
+    if(AsScalarProduct)
+      return m_diagImpl.coeff(0) * m_matImpl.coeff(idx);
+    else
+      return m_diagImpl.coeff(idx) * m_matImpl.coeff(idx);
+  }
+  
+protected:
+  template<int LoadMode,typename PacketType>
+  EIGEN_STRONG_INLINE PacketType packet_impl(Index row, Index col, Index id, internal::true_type) const
+  {
+    return internal::pmul(m_matImpl.template packet<LoadMode,PacketType>(row, col),
+                          internal::pset1<PacketType>(m_diagImpl.coeff(id)));
+  }
+  
+  template<int LoadMode,typename PacketType>
+  EIGEN_STRONG_INLINE PacketType packet_impl(Index row, Index col, Index id, internal::false_type) const
+  {
+    enum {
+      InnerSize = (MatrixType::Flags & RowMajorBit) ? MatrixType::ColsAtCompileTime : MatrixType::RowsAtCompileTime,
+      DiagonalPacketLoadMode = EIGEN_PLAIN_ENUM_MIN(LoadMode,((InnerSize%16) == 0) ? int(Aligned16) : int(evaluator<DiagonalType>::Alignment)) // FIXME hardcoded 16!!
+    };
+    return internal::pmul(m_matImpl.template packet<LoadMode,PacketType>(row, col),
+                          m_diagImpl.template packet<DiagonalPacketLoadMode,PacketType>(id));
+  }
+  
+  evaluator<DiagonalType> m_diagImpl;
+  evaluator<MatrixType>   m_matImpl;
+};
+
+// diagonal * dense
+template<typename Lhs, typename Rhs, int ProductKind, int ProductTag>
+struct product_evaluator<Product<Lhs, Rhs, ProductKind>, ProductTag, DiagonalShape, DenseShape>
+  : diagonal_product_evaluator_base<Rhs, typename Lhs::DiagonalVectorType, Product<Lhs, Rhs, LazyProduct>, OnTheLeft>
+{
+  typedef diagonal_product_evaluator_base<Rhs, typename Lhs::DiagonalVectorType, Product<Lhs, Rhs, LazyProduct>, OnTheLeft> Base;
+  using Base::m_diagImpl;
+  using Base::m_matImpl;
+  using Base::coeff;
+  typedef typename Base::Scalar Scalar;
+  
+  typedef Product<Lhs, Rhs, ProductKind> XprType;
+  typedef typename XprType::PlainObject PlainObject;
+  
+  enum {
+    StorageOrder = int(Rhs::Flags) & RowMajorBit ? RowMajor : ColMajor
+  };
+
+  EIGEN_DEVICE_FUNC explicit product_evaluator(const XprType& xpr)
+    : Base(xpr.rhs(), xpr.lhs().diagonal())
+  {
+  }
+  
+  EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE const Scalar coeff(Index row, Index col) const
+  {
+    return m_diagImpl.coeff(row) * m_matImpl.coeff(row, col);
+  }
+  
+#ifndef __CUDACC__
+  template<int LoadMode,typename PacketType>
+  EIGEN_STRONG_INLINE PacketType packet(Index row, Index col) const
+  {
+    // FIXME: NVCC used to complain about the template keyword, but we have to check whether this is still the case.
+    // See also similar calls below.
+    return this->template packet_impl<LoadMode,PacketType>(row,col, row,
+                                 typename internal::conditional<int(StorageOrder)==RowMajor, internal::true_type, internal::false_type>::type());
+  }
+  
+  template<int LoadMode,typename PacketType>
+  EIGEN_STRONG_INLINE PacketType packet(Index idx) const
+  {
+    return packet<LoadMode,PacketType>(int(StorageOrder)==ColMajor?idx:0,int(StorageOrder)==ColMajor?0:idx);
+  }
+#endif
+};
+
+// dense * diagonal
+template<typename Lhs, typename Rhs, int ProductKind, int ProductTag>
+struct product_evaluator<Product<Lhs, Rhs, ProductKind>, ProductTag, DenseShape, DiagonalShape>
+  : diagonal_product_evaluator_base<Lhs, typename Rhs::DiagonalVectorType, Product<Lhs, Rhs, LazyProduct>, OnTheRight>
+{
+  typedef diagonal_product_evaluator_base<Lhs, typename Rhs::DiagonalVectorType, Product<Lhs, Rhs, LazyProduct>, OnTheRight> Base;
+  using Base::m_diagImpl;
+  using Base::m_matImpl;
+  using Base::coeff;
+  typedef typename Base::Scalar Scalar;
+  
+  typedef Product<Lhs, Rhs, ProductKind> XprType;
+  typedef typename XprType::PlainObject PlainObject;
+  
+  enum { StorageOrder = int(Lhs::Flags) & RowMajorBit ? RowMajor : ColMajor };
+
+  EIGEN_DEVICE_FUNC explicit product_evaluator(const XprType& xpr)
+    : Base(xpr.lhs(), xpr.rhs().diagonal())
+  {
+  }
+  
+  EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE const Scalar coeff(Index row, Index col) const
+  {
+    return m_matImpl.coeff(row, col) * m_diagImpl.coeff(col);
+  }
+  
+#ifndef __CUDACC__
+  template<int LoadMode,typename PacketType>
+  EIGEN_STRONG_INLINE PacketType packet(Index row, Index col) const
+  {
+    return this->template packet_impl<LoadMode,PacketType>(row,col, col,
+                                 typename internal::conditional<int(StorageOrder)==ColMajor, internal::true_type, internal::false_type>::type());
+  }
+  
+  template<int LoadMode,typename PacketType>
+  EIGEN_STRONG_INLINE PacketType packet(Index idx) const
+  {
+    return packet<LoadMode,PacketType>(int(StorageOrder)==ColMajor?idx:0,int(StorageOrder)==ColMajor?0:idx);
+  }
+#endif
+};
+
+/***************************************************************************
+* Products with permutation matrices
+***************************************************************************/
+
+/** \internal
+  * \class permutation_matrix_product
+  * Internal helper class implementing the product between a permutation matrix and a matrix.
+  * This class is specialized for DenseShape below and for SparseShape in SparseCore/SparsePermutation.h
+  */
+template<typename ExpressionType, int Side, bool Transposed, typename ExpressionShape>
+struct permutation_matrix_product;
+
+template<typename ExpressionType, int Side, bool Transposed>
+struct permutation_matrix_product<ExpressionType, Side, Transposed, DenseShape>
+{
+    typedef typename nested_eval<ExpressionType, 1>::type MatrixType;
+    typedef typename remove_all<MatrixType>::type MatrixTypeCleaned;
+
+    template<typename Dest, typename PermutationType>
+    static inline void run(Dest& dst, const PermutationType& perm, const ExpressionType& xpr)
+    {
+      MatrixType mat(xpr);
+      const Index n = Side==OnTheLeft ? mat.rows() : mat.cols();
+      // FIXME we need an is_same for expression that is not sensitive to constness. For instance
+      // is_same_xpr<Block<const Matrix>, Block<Matrix> >::value should be true.
+      //if(is_same<MatrixTypeCleaned,Dest>::value && extract_data(dst) == extract_data(mat))
+      if(is_same_dense(dst, mat))
+      {
+        // apply the permutation inplace
+        Matrix<bool,PermutationType::RowsAtCompileTime,1,0,PermutationType::MaxRowsAtCompileTime> mask(perm.size());
+        mask.fill(false);
+        Index r = 0;
+        while(r < perm.size())
+        {
+          // search for the next seed
+          while(r<perm.size() && mask[r]) r++;
+          if(r>=perm.size())
+            break;
+          // we got one, let's follow it until we are back to the seed
+          Index k0 = r++;
+          Index kPrev = k0;
+          mask.coeffRef(k0) = true;
+          for(Index k=perm.indices().coeff(k0); k!=k0; k=perm.indices().coeff(k))
+          {
+                  Block<Dest, Side==OnTheLeft ? 1 : Dest::RowsAtCompileTime, Side==OnTheRight ? 1 : Dest::ColsAtCompileTime>(dst, k)
+            .swap(Block<Dest, Side==OnTheLeft ? 1 : Dest::RowsAtCompileTime, Side==OnTheRight ? 1 : Dest::ColsAtCompileTime>
+                       (dst,((Side==OnTheLeft) ^ Transposed) ? k0 : kPrev));
+
+            mask.coeffRef(k) = true;
+            kPrev = k;
+          }
+        }
+      }
+      else
+      {
+        for(Index i = 0; i < n; ++i)
+        {
+          Block<Dest, Side==OnTheLeft ? 1 : Dest::RowsAtCompileTime, Side==OnTheRight ? 1 : Dest::ColsAtCompileTime>
+               (dst, ((Side==OnTheLeft) ^ Transposed) ? perm.indices().coeff(i) : i)
+
+          =
+
+          Block<const MatrixTypeCleaned,Side==OnTheLeft ? 1 : MatrixTypeCleaned::RowsAtCompileTime,Side==OnTheRight ? 1 : MatrixTypeCleaned::ColsAtCompileTime>
+               (mat, ((Side==OnTheRight) ^ Transposed) ? perm.indices().coeff(i) : i);
+        }
+      }
+    }
+};
+
+template<typename Lhs, typename Rhs, int ProductTag, typename MatrixShape>
+struct generic_product_impl<Lhs, Rhs, PermutationShape, MatrixShape, ProductTag>
+{
+  template<typename Dest>
+  static void evalTo(Dest& dst, const Lhs& lhs, const Rhs& rhs)
+  {
+    permutation_matrix_product<Rhs, OnTheLeft, false, MatrixShape>::run(dst, lhs, rhs);
+  }
+};
+
+template<typename Lhs, typename Rhs, int ProductTag, typename MatrixShape>
+struct generic_product_impl<Lhs, Rhs, MatrixShape, PermutationShape, ProductTag>
+{
+  template<typename Dest>
+  static void evalTo(Dest& dst, const Lhs& lhs, const Rhs& rhs)
+  {
+    permutation_matrix_product<Lhs, OnTheRight, false, MatrixShape>::run(dst, rhs, lhs);
+  }
+};
+
+template<typename Lhs, typename Rhs, int ProductTag, typename MatrixShape>
+struct generic_product_impl<Inverse<Lhs>, Rhs, PermutationShape, MatrixShape, ProductTag>
+{
+  template<typename Dest>
+  static void evalTo(Dest& dst, const Inverse<Lhs>& lhs, const Rhs& rhs)
+  {
+    permutation_matrix_product<Rhs, OnTheLeft, true, MatrixShape>::run(dst, lhs.nestedExpression(), rhs);
+  }
+};
+
+template<typename Lhs, typename Rhs, int ProductTag, typename MatrixShape>
+struct generic_product_impl<Lhs, Inverse<Rhs>, MatrixShape, PermutationShape, ProductTag>
+{
+  template<typename Dest>
+  static void evalTo(Dest& dst, const Lhs& lhs, const Inverse<Rhs>& rhs)
+  {
+    permutation_matrix_product<Lhs, OnTheRight, true, MatrixShape>::run(dst, rhs.nestedExpression(), lhs);
+  }
+};
+
+
+/***************************************************************************
+* Products with transpositions matrices
+***************************************************************************/
+
+// FIXME could we unify Transpositions and Permutation into a single "shape"??
+
+/** \internal
+  * \class transposition_matrix_product
+  * Internal helper class implementing the product between a permutation matrix and a matrix.
+  */
+template<typename ExpressionType, int Side, bool Transposed, typename ExpressionShape>
+struct transposition_matrix_product
+{
+  typedef typename nested_eval<ExpressionType, 1>::type MatrixType;
+  typedef typename remove_all<MatrixType>::type MatrixTypeCleaned;
+  
+  template<typename Dest, typename TranspositionType>
+  static inline void run(Dest& dst, const TranspositionType& tr, const ExpressionType& xpr)
+  {
+    MatrixType mat(xpr);
+    typedef typename TranspositionType::StorageIndex StorageIndex;
+    const Index size = tr.size();
+    StorageIndex j = 0;
+
+    if(!is_same_dense(dst,mat))
+      dst = mat;
+
+    for(Index k=(Transposed?size-1:0) ; Transposed?k>=0:k<size ; Transposed?--k:++k)
+      if(Index(j=tr.coeff(k))!=k)
+      {
+        if(Side==OnTheLeft)        dst.row(k).swap(dst.row(j));
+        else if(Side==OnTheRight)  dst.col(k).swap(dst.col(j));
+      }
+  }
+};
+
+template<typename Lhs, typename Rhs, int ProductTag, typename MatrixShape>
+struct generic_product_impl<Lhs, Rhs, TranspositionsShape, MatrixShape, ProductTag>
+{
+  template<typename Dest>
+  static void evalTo(Dest& dst, const Lhs& lhs, const Rhs& rhs)
+  {
+    transposition_matrix_product<Rhs, OnTheLeft, false, MatrixShape>::run(dst, lhs, rhs);
+  }
+};
+
+template<typename Lhs, typename Rhs, int ProductTag, typename MatrixShape>
+struct generic_product_impl<Lhs, Rhs, MatrixShape, TranspositionsShape, ProductTag>
+{
+  template<typename Dest>
+  static void evalTo(Dest& dst, const Lhs& lhs, const Rhs& rhs)
+  {
+    transposition_matrix_product<Lhs, OnTheRight, false, MatrixShape>::run(dst, rhs, lhs);
+  }
+};
+
+
+template<typename Lhs, typename Rhs, int ProductTag, typename MatrixShape>
+struct generic_product_impl<Transpose<Lhs>, Rhs, TranspositionsShape, MatrixShape, ProductTag>
+{
+  template<typename Dest>
+  static void evalTo(Dest& dst, const Transpose<Lhs>& lhs, const Rhs& rhs)
+  {
+    transposition_matrix_product<Rhs, OnTheLeft, true, MatrixShape>::run(dst, lhs.nestedExpression(), rhs);
+  }
+};
+
+template<typename Lhs, typename Rhs, int ProductTag, typename MatrixShape>
+struct generic_product_impl<Lhs, Transpose<Rhs>, MatrixShape, TranspositionsShape, ProductTag>
+{
+  template<typename Dest>
+  static void evalTo(Dest& dst, const Lhs& lhs, const Transpose<Rhs>& rhs)
+  {
+    transposition_matrix_product<Lhs, OnTheRight, true, MatrixShape>::run(dst, rhs.nestedExpression(), lhs);
+  }
+};
+
+} // end namespace internal
+
+} // end namespace Eigen
+
+#endif // EIGEN_PRODUCT_EVALUATORS_H
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/Redux.h
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/Redux.h	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/Redux.h	(revision 3761)
@@ -0,0 +1,505 @@
+// This file is part of Eigen, a lightweight C++ template library
+// for linear algebra.
+//
+// Copyright (C) 2008 Gael Guennebaud <gael.guennebaud@inria.fr>
+// Copyright (C) 2006-2008 Benoit Jacob <jacob.benoit.1@gmail.com>
+//
+// This Source Code Form is subject to the terms of the Mozilla
+// Public License v. 2.0. If a copy of the MPL was not distributed
+// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
+
+#ifndef EIGEN_REDUX_H
+#define EIGEN_REDUX_H
+
+namespace Eigen { 
+
+namespace internal {
+
+// TODO
+//  * implement other kind of vectorization
+//  * factorize code
+
+/***************************************************************************
+* Part 1 : the logic deciding a strategy for vectorization and unrolling
+***************************************************************************/
+
+template<typename Func, typename Derived>
+struct redux_traits
+{
+public:
+    typedef typename find_best_packet<typename Derived::Scalar,Derived::SizeAtCompileTime>::type PacketType;
+  enum {
+    PacketSize = unpacket_traits<PacketType>::size,
+    InnerMaxSize = int(Derived::IsRowMajor)
+                 ? Derived::MaxColsAtCompileTime
+                 : Derived::MaxRowsAtCompileTime
+  };
+
+  enum {
+    MightVectorize = (int(Derived::Flags)&ActualPacketAccessBit)
+                  && (functor_traits<Func>::PacketAccess),
+    MayLinearVectorize = bool(MightVectorize) && (int(Derived::Flags)&LinearAccessBit),
+    MaySliceVectorize  = bool(MightVectorize) && int(InnerMaxSize)>=3*PacketSize
+  };
+
+public:
+  enum {
+    Traversal = int(MayLinearVectorize) ? int(LinearVectorizedTraversal)
+              : int(MaySliceVectorize)  ? int(SliceVectorizedTraversal)
+                                        : int(DefaultTraversal)
+  };
+
+public:
+  enum {
+    Cost = Derived::SizeAtCompileTime == Dynamic ? HugeCost
+         : Derived::SizeAtCompileTime * Derived::CoeffReadCost + (Derived::SizeAtCompileTime-1) * functor_traits<Func>::Cost,
+    UnrollingLimit = EIGEN_UNROLLING_LIMIT * (int(Traversal) == int(DefaultTraversal) ? 1 : int(PacketSize))
+  };
+
+public:
+  enum {
+    Unrolling = Cost <= UnrollingLimit ? CompleteUnrolling : NoUnrolling
+  };
+  
+#ifdef EIGEN_DEBUG_ASSIGN
+  static void debug()
+  {
+    std::cerr << "Xpr: " << typeid(typename Derived::XprType).name() << std::endl;
+    std::cerr.setf(std::ios::hex, std::ios::basefield);
+    EIGEN_DEBUG_VAR(Derived::Flags)
+    std::cerr.unsetf(std::ios::hex);
+    EIGEN_DEBUG_VAR(InnerMaxSize)
+    EIGEN_DEBUG_VAR(PacketSize)
+    EIGEN_DEBUG_VAR(MightVectorize)
+    EIGEN_DEBUG_VAR(MayLinearVectorize)
+    EIGEN_DEBUG_VAR(MaySliceVectorize)
+    EIGEN_DEBUG_VAR(Traversal)
+    EIGEN_DEBUG_VAR(UnrollingLimit)
+    EIGEN_DEBUG_VAR(Unrolling)
+    std::cerr << std::endl;
+  }
+#endif
+};
+
+/***************************************************************************
+* Part 2 : unrollers
+***************************************************************************/
+
+/*** no vectorization ***/
+
+template<typename Func, typename Derived, int Start, int Length>
+struct redux_novec_unroller
+{
+  enum {
+    HalfLength = Length/2
+  };
+
+  typedef typename Derived::Scalar Scalar;
+
+  EIGEN_DEVICE_FUNC
+  static EIGEN_STRONG_INLINE Scalar run(const Derived &mat, const Func& func)
+  {
+    return func(redux_novec_unroller<Func, Derived, Start, HalfLength>::run(mat,func),
+                redux_novec_unroller<Func, Derived, Start+HalfLength, Length-HalfLength>::run(mat,func));
+  }
+};
+
+template<typename Func, typename Derived, int Start>
+struct redux_novec_unroller<Func, Derived, Start, 1>
+{
+  enum {
+    outer = Start / Derived::InnerSizeAtCompileTime,
+    inner = Start % Derived::InnerSizeAtCompileTime
+  };
+
+  typedef typename Derived::Scalar Scalar;
+
+  EIGEN_DEVICE_FUNC
+  static EIGEN_STRONG_INLINE Scalar run(const Derived &mat, const Func&)
+  {
+    return mat.coeffByOuterInner(outer, inner);
+  }
+};
+
+// This is actually dead code and will never be called. It is required
+// to prevent false warnings regarding failed inlining though
+// for 0 length run() will never be called at all.
+template<typename Func, typename Derived, int Start>
+struct redux_novec_unroller<Func, Derived, Start, 0>
+{
+  typedef typename Derived::Scalar Scalar;
+  EIGEN_DEVICE_FUNC 
+  static EIGEN_STRONG_INLINE Scalar run(const Derived&, const Func&) { return Scalar(); }
+};
+
+/*** vectorization ***/
+
+template<typename Func, typename Derived, int Start, int Length>
+struct redux_vec_unroller
+{
+  enum {
+    PacketSize = redux_traits<Func, Derived>::PacketSize,
+    HalfLength = Length/2
+  };
+
+  typedef typename Derived::Scalar Scalar;
+  typedef typename redux_traits<Func, Derived>::PacketType PacketScalar;
+
+  static EIGEN_STRONG_INLINE PacketScalar run(const Derived &mat, const Func& func)
+  {
+    return func.packetOp(
+            redux_vec_unroller<Func, Derived, Start, HalfLength>::run(mat,func),
+            redux_vec_unroller<Func, Derived, Start+HalfLength, Length-HalfLength>::run(mat,func) );
+  }
+};
+
+template<typename Func, typename Derived, int Start>
+struct redux_vec_unroller<Func, Derived, Start, 1>
+{
+  enum {
+    index = Start * redux_traits<Func, Derived>::PacketSize,
+    outer = index / int(Derived::InnerSizeAtCompileTime),
+    inner = index % int(Derived::InnerSizeAtCompileTime),
+    alignment = Derived::Alignment
+  };
+
+  typedef typename Derived::Scalar Scalar;
+  typedef typename redux_traits<Func, Derived>::PacketType PacketScalar;
+
+  static EIGEN_STRONG_INLINE PacketScalar run(const Derived &mat, const Func&)
+  {
+    return mat.template packetByOuterInner<alignment,PacketScalar>(outer, inner);
+  }
+};
+
+/***************************************************************************
+* Part 3 : implementation of all cases
+***************************************************************************/
+
+template<typename Func, typename Derived,
+         int Traversal = redux_traits<Func, Derived>::Traversal,
+         int Unrolling = redux_traits<Func, Derived>::Unrolling
+>
+struct redux_impl;
+
+template<typename Func, typename Derived>
+struct redux_impl<Func, Derived, DefaultTraversal, NoUnrolling>
+{
+  typedef typename Derived::Scalar Scalar;
+  EIGEN_DEVICE_FUNC
+  static EIGEN_STRONG_INLINE Scalar run(const Derived &mat, const Func& func)
+  {
+    eigen_assert(mat.rows()>0 && mat.cols()>0 && "you are using an empty matrix");
+    Scalar res;
+    res = mat.coeffByOuterInner(0, 0);
+    for(Index i = 1; i < mat.innerSize(); ++i)
+      res = func(res, mat.coeffByOuterInner(0, i));
+    for(Index i = 1; i < mat.outerSize(); ++i)
+      for(Index j = 0; j < mat.innerSize(); ++j)
+        res = func(res, mat.coeffByOuterInner(i, j));
+    return res;
+  }
+};
+
+template<typename Func, typename Derived>
+struct redux_impl<Func,Derived, DefaultTraversal, CompleteUnrolling>
+  : public redux_novec_unroller<Func,Derived, 0, Derived::SizeAtCompileTime>
+{};
+
+template<typename Func, typename Derived>
+struct redux_impl<Func, Derived, LinearVectorizedTraversal, NoUnrolling>
+{
+  typedef typename Derived::Scalar Scalar;
+  typedef typename redux_traits<Func, Derived>::PacketType PacketScalar;
+
+  static Scalar run(const Derived &mat, const Func& func)
+  {
+    const Index size = mat.size();
+    
+    const Index packetSize = redux_traits<Func, Derived>::PacketSize;
+    const int packetAlignment = unpacket_traits<PacketScalar>::alignment;
+    enum {
+      alignment0 = (bool(Derived::Flags & DirectAccessBit) && bool(packet_traits<Scalar>::AlignedOnScalar)) ? int(packetAlignment) : int(Unaligned),
+      alignment = EIGEN_PLAIN_ENUM_MAX(alignment0, Derived::Alignment)
+    };
+    const Index alignedStart = internal::first_default_aligned(mat.nestedExpression());
+    const Index alignedSize2 = ((size-alignedStart)/(2*packetSize))*(2*packetSize);
+    const Index alignedSize = ((size-alignedStart)/(packetSize))*(packetSize);
+    const Index alignedEnd2 = alignedStart + alignedSize2;
+    const Index alignedEnd  = alignedStart + alignedSize;
+    Scalar res;
+    if(alignedSize)
+    {
+      PacketScalar packet_res0 = mat.template packet<alignment,PacketScalar>(alignedStart);
+      if(alignedSize>packetSize) // we have at least two packets to partly unroll the loop
+      {
+        PacketScalar packet_res1 = mat.template packet<alignment,PacketScalar>(alignedStart+packetSize);
+        for(Index index = alignedStart + 2*packetSize; index < alignedEnd2; index += 2*packetSize)
+        {
+          packet_res0 = func.packetOp(packet_res0, mat.template packet<alignment,PacketScalar>(index));
+          packet_res1 = func.packetOp(packet_res1, mat.template packet<alignment,PacketScalar>(index+packetSize));
+        }
+
+        packet_res0 = func.packetOp(packet_res0,packet_res1);
+        if(alignedEnd>alignedEnd2)
+          packet_res0 = func.packetOp(packet_res0, mat.template packet<alignment,PacketScalar>(alignedEnd2));
+      }
+      res = func.predux(packet_res0);
+
+      for(Index index = 0; index < alignedStart; ++index)
+        res = func(res,mat.coeff(index));
+
+      for(Index index = alignedEnd; index < size; ++index)
+        res = func(res,mat.coeff(index));
+    }
+    else // too small to vectorize anything.
+         // since this is dynamic-size hence inefficient anyway for such small sizes, don't try to optimize.
+    {
+      res = mat.coeff(0);
+      for(Index index = 1; index < size; ++index)
+        res = func(res,mat.coeff(index));
+    }
+
+    return res;
+  }
+};
+
+// NOTE: for SliceVectorizedTraversal we simply bypass unrolling
+template<typename Func, typename Derived, int Unrolling>
+struct redux_impl<Func, Derived, SliceVectorizedTraversal, Unrolling>
+{
+  typedef typename Derived::Scalar Scalar;
+  typedef typename redux_traits<Func, Derived>::PacketType PacketType;
+
+  EIGEN_DEVICE_FUNC static Scalar run(const Derived &mat, const Func& func)
+  {
+    eigen_assert(mat.rows()>0 && mat.cols()>0 && "you are using an empty matrix");
+    const Index innerSize = mat.innerSize();
+    const Index outerSize = mat.outerSize();
+    enum {
+      packetSize = redux_traits<Func, Derived>::PacketSize
+    };
+    const Index packetedInnerSize = ((innerSize)/packetSize)*packetSize;
+    Scalar res;
+    if(packetedInnerSize)
+    {
+      PacketType packet_res = mat.template packet<Unaligned,PacketType>(0,0);
+      for(Index j=0; j<outerSize; ++j)
+        for(Index i=(j==0?packetSize:0); i<packetedInnerSize; i+=Index(packetSize))
+          packet_res = func.packetOp(packet_res, mat.template packetByOuterInner<Unaligned,PacketType>(j,i));
+
+      res = func.predux(packet_res);
+      for(Index j=0; j<outerSize; ++j)
+        for(Index i=packetedInnerSize; i<innerSize; ++i)
+          res = func(res, mat.coeffByOuterInner(j,i));
+    }
+    else // too small to vectorize anything.
+         // since this is dynamic-size hence inefficient anyway for such small sizes, don't try to optimize.
+    {
+      res = redux_impl<Func, Derived, DefaultTraversal, NoUnrolling>::run(mat, func);
+    }
+
+    return res;
+  }
+};
+
+template<typename Func, typename Derived>
+struct redux_impl<Func, Derived, LinearVectorizedTraversal, CompleteUnrolling>
+{
+  typedef typename Derived::Scalar Scalar;
+
+  typedef typename redux_traits<Func, Derived>::PacketType PacketScalar;
+  enum {
+    PacketSize = redux_traits<Func, Derived>::PacketSize,
+    Size = Derived::SizeAtCompileTime,
+    VectorizedSize = (Size / PacketSize) * PacketSize
+  };
+  EIGEN_DEVICE_FUNC static EIGEN_STRONG_INLINE Scalar run(const Derived &mat, const Func& func)
+  {
+    eigen_assert(mat.rows()>0 && mat.cols()>0 && "you are using an empty matrix");
+    if (VectorizedSize > 0) {
+      Scalar res = func.predux(redux_vec_unroller<Func, Derived, 0, Size / PacketSize>::run(mat,func));
+      if (VectorizedSize != Size)
+        res = func(res,redux_novec_unroller<Func, Derived, VectorizedSize, Size-VectorizedSize>::run(mat,func));
+      return res;
+    }
+    else {
+      return redux_novec_unroller<Func, Derived, 0, Size>::run(mat,func);
+    }
+  }
+};
+
+// evaluator adaptor
+template<typename _XprType>
+class redux_evaluator
+{
+public:
+  typedef _XprType XprType;
+  EIGEN_DEVICE_FUNC explicit redux_evaluator(const XprType &xpr) : m_evaluator(xpr), m_xpr(xpr) {}
+  
+  typedef typename XprType::Scalar Scalar;
+  typedef typename XprType::CoeffReturnType CoeffReturnType;
+  typedef typename XprType::PacketScalar PacketScalar;
+  typedef typename XprType::PacketReturnType PacketReturnType;
+  
+  enum {
+    MaxRowsAtCompileTime = XprType::MaxRowsAtCompileTime,
+    MaxColsAtCompileTime = XprType::MaxColsAtCompileTime,
+    // TODO we should not remove DirectAccessBit and rather find an elegant way to query the alignment offset at runtime from the evaluator
+    Flags = evaluator<XprType>::Flags & ~DirectAccessBit,
+    IsRowMajor = XprType::IsRowMajor,
+    SizeAtCompileTime = XprType::SizeAtCompileTime,
+    InnerSizeAtCompileTime = XprType::InnerSizeAtCompileTime,
+    CoeffReadCost = evaluator<XprType>::CoeffReadCost,
+    Alignment = evaluator<XprType>::Alignment
+  };
+  
+  EIGEN_DEVICE_FUNC Index rows() const { return m_xpr.rows(); }
+  EIGEN_DEVICE_FUNC Index cols() const { return m_xpr.cols(); }
+  EIGEN_DEVICE_FUNC Index size() const { return m_xpr.size(); }
+  EIGEN_DEVICE_FUNC Index innerSize() const { return m_xpr.innerSize(); }
+  EIGEN_DEVICE_FUNC Index outerSize() const { return m_xpr.outerSize(); }
+
+  EIGEN_DEVICE_FUNC
+  CoeffReturnType coeff(Index row, Index col) const
+  { return m_evaluator.coeff(row, col); }
+
+  EIGEN_DEVICE_FUNC
+  CoeffReturnType coeff(Index index) const
+  { return m_evaluator.coeff(index); }
+
+  template<int LoadMode, typename PacketType>
+  PacketType packet(Index row, Index col) const
+  { return m_evaluator.template packet<LoadMode,PacketType>(row, col); }
+
+  template<int LoadMode, typename PacketType>
+  PacketType packet(Index index) const
+  { return m_evaluator.template packet<LoadMode,PacketType>(index); }
+  
+  EIGEN_DEVICE_FUNC
+  CoeffReturnType coeffByOuterInner(Index outer, Index inner) const
+  { return m_evaluator.coeff(IsRowMajor ? outer : inner, IsRowMajor ? inner : outer); }
+  
+  template<int LoadMode, typename PacketType>
+  PacketType packetByOuterInner(Index outer, Index inner) const
+  { return m_evaluator.template packet<LoadMode,PacketType>(IsRowMajor ? outer : inner, IsRowMajor ? inner : outer); }
+  
+  const XprType & nestedExpression() const { return m_xpr; }
+  
+protected:
+  internal::evaluator<XprType> m_evaluator;
+  const XprType &m_xpr;
+};
+
+} // end namespace internal
+
+/***************************************************************************
+* Part 4 : public API
+***************************************************************************/
+
+
+/** \returns the result of a full redux operation on the whole matrix or vector using \a func
+  *
+  * The template parameter \a BinaryOp is the type of the functor \a func which must be
+  * an associative operator. Both current C++98 and C++11 functor styles are handled.
+  *
+  * \sa DenseBase::sum(), DenseBase::minCoeff(), DenseBase::maxCoeff(), MatrixBase::colwise(), MatrixBase::rowwise()
+  */
+template<typename Derived>
+template<typename Func>
+EIGEN_STRONG_INLINE typename internal::traits<Derived>::Scalar
+DenseBase<Derived>::redux(const Func& func) const
+{
+  eigen_assert(this->rows()>0 && this->cols()>0 && "you are using an empty matrix");
+
+  typedef typename internal::redux_evaluator<Derived> ThisEvaluator;
+  ThisEvaluator thisEval(derived());
+  
+  return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func);
+}
+
+/** \returns the minimum of all coefficients of \c *this.
+  * \warning the result is undefined if \c *this contains NaN.
+  */
+template<typename Derived>
+EIGEN_STRONG_INLINE typename internal::traits<Derived>::Scalar
+DenseBase<Derived>::minCoeff() const
+{
+  return derived().redux(Eigen::internal::scalar_min_op<Scalar,Scalar>());
+}
+
+/** \returns the maximum of all coefficients of \c *this.
+  * \warning the result is undefined if \c *this contains NaN.
+  */
+template<typename Derived>
+EIGEN_STRONG_INLINE typename internal::traits<Derived>::Scalar
+DenseBase<Derived>::maxCoeff() const
+{
+  return derived().redux(Eigen::internal::scalar_max_op<Scalar,Scalar>());
+}
+
+/** \returns the sum of all coefficients of \c *this
+  *
+  * If \c *this is empty, then the value 0 is returned.
+  *
+  * \sa trace(), prod(), mean()
+  */
+template<typename Derived>
+EIGEN_STRONG_INLINE typename internal::traits<Derived>::Scalar
+DenseBase<Derived>::sum() const
+{
+  if(SizeAtCompileTime==0 || (SizeAtCompileTime==Dynamic && size()==0))
+    return Scalar(0);
+  return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
+}
+
+/** \returns the mean of all coefficients of *this
+*
+* \sa trace(), prod(), sum()
+*/
+template<typename Derived>
+EIGEN_STRONG_INLINE typename internal::traits<Derived>::Scalar
+DenseBase<Derived>::mean() const
+{
+#ifdef __INTEL_COMPILER
+  #pragma warning push
+  #pragma warning ( disable : 2259 )
+#endif
+  return Scalar(derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>())) / Scalar(this->size());
+#ifdef __INTEL_COMPILER
+  #pragma warning pop
+#endif
+}
+
+/** \returns the product of all coefficients of *this
+  *
+  * Example: \include MatrixBase_prod.cpp
+  * Output: \verbinclude MatrixBase_prod.out
+  *
+  * \sa sum(), mean(), trace()
+  */
+template<typename Derived>
+EIGEN_STRONG_INLINE typename internal::traits<Derived>::Scalar
+DenseBase<Derived>::prod() const
+{
+  if(SizeAtCompileTime==0 || (SizeAtCompileTime==Dynamic && size()==0))
+    return Scalar(1);
+  return derived().redux(Eigen::internal::scalar_product_op<Scalar>());
+}
+
+/** \returns the trace of \c *this, i.e. the sum of the coefficients on the main diagonal.
+  *
+  * \c *this can be any matrix, not necessarily square.
+  *
+  * \sa diagonal(), sum()
+  */
+template<typename Derived>
+EIGEN_STRONG_INLINE typename internal::traits<Derived>::Scalar
+MatrixBase<Derived>::trace() const
+{
+  return derived().diagonal().sum();
+}
+
+} // end namespace Eigen
+
+#endif // EIGEN_REDUX_H
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/BandMatrix.h
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/BandMatrix.h	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/BandMatrix.h	(revision 3761)
@@ -0,0 +1,353 @@
+// This file is part of Eigen, a lightweight C++ template library
+// for linear algebra.
+//
+// Copyright (C) 2009 Gael Guennebaud <gael.guennebaud@inria.fr>
+//
+// This Source Code Form is subject to the terms of the Mozilla
+// Public License v. 2.0. If a copy of the MPL was not distributed
+// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
+
+#ifndef EIGEN_BANDMATRIX_H
+#define EIGEN_BANDMATRIX_H
+
+namespace Eigen { 
+
+namespace internal {
+
+template<typename Derived>
+class BandMatrixBase : public EigenBase<Derived>
+{
+  public:
+
+    enum {
+      Flags = internal::traits<Derived>::Flags,
+      CoeffReadCost = internal::traits<Derived>::CoeffReadCost,
+      RowsAtCompileTime = internal::traits<Derived>::RowsAtCompileTime,
+      ColsAtCompileTime = internal::traits<Derived>::ColsAtCompileTime,
+      MaxRowsAtCompileTime = internal::traits<Derived>::MaxRowsAtCompileTime,
+      MaxColsAtCompileTime = internal::traits<Derived>::MaxColsAtCompileTime,
+      Supers = internal::traits<Derived>::Supers,
+      Subs   = internal::traits<Derived>::Subs,
+      Options = internal::traits<Derived>::Options
+    };
+    typedef typename internal::traits<Derived>::Scalar Scalar;
+    typedef Matrix<Scalar,RowsAtCompileTime,ColsAtCompileTime> DenseMatrixType;
+    typedef typename DenseMatrixType::StorageIndex StorageIndex;
+    typedef typename internal::traits<Derived>::CoefficientsType CoefficientsType;
+    typedef EigenBase<Derived> Base;
+
+  protected:
+    enum {
+      DataRowsAtCompileTime = ((Supers!=Dynamic) && (Subs!=Dynamic))
+                            ? 1 + Supers + Subs
+                            : Dynamic,
+      SizeAtCompileTime = EIGEN_SIZE_MIN_PREFER_DYNAMIC(RowsAtCompileTime,ColsAtCompileTime)
+    };
+
+  public:
+    
+    using Base::derived;
+    using Base::rows;
+    using Base::cols;
+
+    /** \returns the number of super diagonals */
+    inline Index supers() const { return derived().supers(); }
+
+    /** \returns the number of sub diagonals */
+    inline Index subs() const { return derived().subs(); }
+    
+    /** \returns an expression of the underlying coefficient matrix */
+    inline const CoefficientsType& coeffs() const { return derived().coeffs(); }
+    
+    /** \returns an expression of the underlying coefficient matrix */
+    inline CoefficientsType& coeffs() { return derived().coeffs(); }
+
+    /** \returns a vector expression of the \a i -th column,
+      * only the meaningful part is returned.
+      * \warning the internal storage must be column major. */
+    inline Block<CoefficientsType,Dynamic,1> col(Index i)
+    {
+      EIGEN_STATIC_ASSERT((Options&RowMajor)==0,THIS_METHOD_IS_ONLY_FOR_COLUMN_MAJOR_MATRICES);
+      Index start = 0;
+      Index len = coeffs().rows();
+      if (i<=supers())
+      {
+        start = supers()-i;
+        len = (std::min)(rows(),std::max<Index>(0,coeffs().rows() - (supers()-i)));
+      }
+      else if (i>=rows()-subs())
+        len = std::max<Index>(0,coeffs().rows() - (i + 1 - rows() + subs()));
+      return Block<CoefficientsType,Dynamic,1>(coeffs(), start, i, len, 1);
+    }
+
+    /** \returns a vector expression of the main diagonal */
+    inline Block<CoefficientsType,1,SizeAtCompileTime> diagonal()
+    { return Block<CoefficientsType,1,SizeAtCompileTime>(coeffs(),supers(),0,1,(std::min)(rows(),cols())); }
+
+    /** \returns a vector expression of the main diagonal (const version) */
+    inline const Block<const CoefficientsType,1,SizeAtCompileTime> diagonal() const
+    { return Block<const CoefficientsType,1,SizeAtCompileTime>(coeffs(),supers(),0,1,(std::min)(rows(),cols())); }
+
+    template<int Index> struct DiagonalIntReturnType {
+      enum {
+        ReturnOpposite = (Options&SelfAdjoint) && (((Index)>0 && Supers==0) || ((Index)<0 && Subs==0)),
+        Conjugate = ReturnOpposite && NumTraits<Scalar>::IsComplex,
+        ActualIndex = ReturnOpposite ? -Index : Index,
+        DiagonalSize = (RowsAtCompileTime==Dynamic || ColsAtCompileTime==Dynamic)
+                     ? Dynamic
+                     : (ActualIndex<0
+                     ? EIGEN_SIZE_MIN_PREFER_DYNAMIC(ColsAtCompileTime, RowsAtCompileTime + ActualIndex)
+                     : EIGEN_SIZE_MIN_PREFER_DYNAMIC(RowsAtCompileTime, ColsAtCompileTime - ActualIndex))
+      };
+      typedef Block<CoefficientsType,1, DiagonalSize> BuildType;
+      typedef typename internal::conditional<Conjugate,
+                 CwiseUnaryOp<internal::scalar_conjugate_op<Scalar>,BuildType >,
+                 BuildType>::type Type;
+    };
+
+    /** \returns a vector expression of the \a N -th sub or super diagonal */
+    template<int N> inline typename DiagonalIntReturnType<N>::Type diagonal()
+    {
+      return typename DiagonalIntReturnType<N>::BuildType(coeffs(), supers()-N, (std::max)(0,N), 1, diagonalLength(N));
+    }
+
+    /** \returns a vector expression of the \a N -th sub or super diagonal */
+    template<int N> inline const typename DiagonalIntReturnType<N>::Type diagonal() const
+    {
+      return typename DiagonalIntReturnType<N>::BuildType(coeffs(), supers()-N, (std::max)(0,N), 1, diagonalLength(N));
+    }
+
+    /** \returns a vector expression of the \a i -th sub or super diagonal */
+    inline Block<CoefficientsType,1,Dynamic> diagonal(Index i)
+    {
+      eigen_assert((i<0 && -i<=subs()) || (i>=0 && i<=supers()));
+      return Block<CoefficientsType,1,Dynamic>(coeffs(), supers()-i, std::max<Index>(0,i), 1, diagonalLength(i));
+    }
+
+    /** \returns a vector expression of the \a i -th sub or super diagonal */
+    inline const Block<const CoefficientsType,1,Dynamic> diagonal(Index i) const
+    {
+      eigen_assert((i<0 && -i<=subs()) || (i>=0 && i<=supers()));
+      return Block<const CoefficientsType,1,Dynamic>(coeffs(), supers()-i, std::max<Index>(0,i), 1, diagonalLength(i));
+    }
+    
+    template<typename Dest> inline void evalTo(Dest& dst) const
+    {
+      dst.resize(rows(),cols());
+      dst.setZero();
+      dst.diagonal() = diagonal();
+      for (Index i=1; i<=supers();++i)
+        dst.diagonal(i) = diagonal(i);
+      for (Index i=1; i<=subs();++i)
+        dst.diagonal(-i) = diagonal(-i);
+    }
+
+    DenseMatrixType toDenseMatrix() const
+    {
+      DenseMatrixType res(rows(),cols());
+      evalTo(res);
+      return res;
+    }
+
+  protected:
+
+    inline Index diagonalLength(Index i) const
+    { return i<0 ? (std::min)(cols(),rows()+i) : (std::min)(rows(),cols()-i); }
+};
+
+/**
+  * \class BandMatrix
+  * \ingroup Core_Module
+  *
+  * \brief Represents a rectangular matrix with a banded storage
+  *
+  * \tparam _Scalar Numeric type, i.e. float, double, int
+  * \tparam _Rows Number of rows, or \b Dynamic
+  * \tparam _Cols Number of columns, or \b Dynamic
+  * \tparam _Supers Number of super diagonal
+  * \tparam _Subs Number of sub diagonal
+  * \tparam _Options A combination of either \b #RowMajor or \b #ColMajor, and of \b #SelfAdjoint
+  *                  The former controls \ref TopicStorageOrders "storage order", and defaults to
+  *                  column-major. The latter controls whether the matrix represents a selfadjoint
+  *                  matrix in which case either Supers of Subs have to be null.
+  *
+  * \sa class TridiagonalMatrix
+  */
+
+template<typename _Scalar, int _Rows, int _Cols, int _Supers, int _Subs, int _Options>
+struct traits<BandMatrix<_Scalar,_Rows,_Cols,_Supers,_Subs,_Options> >
+{
+  typedef _Scalar Scalar;
+  typedef Dense StorageKind;
+  typedef Eigen::Index StorageIndex;
+  enum {
+    CoeffReadCost = NumTraits<Scalar>::ReadCost,
+    RowsAtCompileTime = _Rows,
+    ColsAtCompileTime = _Cols,
+    MaxRowsAtCompileTime = _Rows,
+    MaxColsAtCompileTime = _Cols,
+    Flags = LvalueBit,
+    Supers = _Supers,
+    Subs = _Subs,
+    Options = _Options,
+    DataRowsAtCompileTime = ((Supers!=Dynamic) && (Subs!=Dynamic)) ? 1 + Supers + Subs : Dynamic
+  };
+  typedef Matrix<Scalar,DataRowsAtCompileTime,ColsAtCompileTime,Options&RowMajor?RowMajor:ColMajor> CoefficientsType;
+};
+
+template<typename _Scalar, int Rows, int Cols, int Supers, int Subs, int Options>
+class BandMatrix : public BandMatrixBase<BandMatrix<_Scalar,Rows,Cols,Supers,Subs,Options> >
+{
+  public:
+
+    typedef typename internal::traits<BandMatrix>::Scalar Scalar;
+    typedef typename internal::traits<BandMatrix>::StorageIndex StorageIndex;
+    typedef typename internal::traits<BandMatrix>::CoefficientsType CoefficientsType;
+
+    explicit inline BandMatrix(Index rows=Rows, Index cols=Cols, Index supers=Supers, Index subs=Subs)
+      : m_coeffs(1+supers+subs,cols),
+        m_rows(rows), m_supers(supers), m_subs(subs)
+    {
+    }
+
+    /** \returns the number of columns */
+    inline Index rows() const { return m_rows.value(); }
+
+    /** \returns the number of rows */
+    inline Index cols() const { return m_coeffs.cols(); }
+
+    /** \returns the number of super diagonals */
+    inline Index supers() const { return m_supers.value(); }
+
+    /** \returns the number of sub diagonals */
+    inline Index subs() const { return m_subs.value(); }
+
+    inline const CoefficientsType& coeffs() const { return m_coeffs; }
+    inline CoefficientsType& coeffs() { return m_coeffs; }
+
+  protected:
+
+    CoefficientsType m_coeffs;
+    internal::variable_if_dynamic<Index, Rows>   m_rows;
+    internal::variable_if_dynamic<Index, Supers> m_supers;
+    internal::variable_if_dynamic<Index, Subs>   m_subs;
+};
+
+template<typename _CoefficientsType,int _Rows, int _Cols, int _Supers, int _Subs,int _Options>
+class BandMatrixWrapper;
+
+template<typename _CoefficientsType,int _Rows, int _Cols, int _Supers, int _Subs,int _Options>
+struct traits<BandMatrixWrapper<_CoefficientsType,_Rows,_Cols,_Supers,_Subs,_Options> >
+{
+  typedef typename _CoefficientsType::Scalar Scalar;
+  typedef typename _CoefficientsType::StorageKind StorageKind;
+  typedef typename _CoefficientsType::StorageIndex StorageIndex;
+  enum {
+    CoeffReadCost = internal::traits<_CoefficientsType>::CoeffReadCost,
+    RowsAtCompileTime = _Rows,
+    ColsAtCompileTime = _Cols,
+    MaxRowsAtCompileTime = _Rows,
+    MaxColsAtCompileTime = _Cols,
+    Flags = LvalueBit,
+    Supers = _Supers,
+    Subs = _Subs,
+    Options = _Options,
+    DataRowsAtCompileTime = ((Supers!=Dynamic) && (Subs!=Dynamic)) ? 1 + Supers + Subs : Dynamic
+  };
+  typedef _CoefficientsType CoefficientsType;
+};
+
+template<typename _CoefficientsType,int _Rows, int _Cols, int _Supers, int _Subs,int _Options>
+class BandMatrixWrapper : public BandMatrixBase<BandMatrixWrapper<_CoefficientsType,_Rows,_Cols,_Supers,_Subs,_Options> >
+{
+  public:
+
+    typedef typename internal::traits<BandMatrixWrapper>::Scalar Scalar;
+    typedef typename internal::traits<BandMatrixWrapper>::CoefficientsType CoefficientsType;
+    typedef typename internal::traits<BandMatrixWrapper>::StorageIndex StorageIndex;
+
+    explicit inline BandMatrixWrapper(const CoefficientsType& coeffs, Index rows=_Rows, Index cols=_Cols, Index supers=_Supers, Index subs=_Subs)
+      : m_coeffs(coeffs),
+        m_rows(rows), m_supers(supers), m_subs(subs)
+    {
+      EIGEN_UNUSED_VARIABLE(cols);
+      //internal::assert(coeffs.cols()==cols() && (supers()+subs()+1)==coeffs.rows());
+    }
+
+    /** \returns the number of columns */
+    inline Index rows() const { return m_rows.value(); }
+
+    /** \returns the number of rows */
+    inline Index cols() const { return m_coeffs.cols(); }
+
+    /** \returns the number of super diagonals */
+    inline Index supers() const { return m_supers.value(); }
+
+    /** \returns the number of sub diagonals */
+    inline Index subs() const { return m_subs.value(); }
+
+    inline const CoefficientsType& coeffs() const { return m_coeffs; }
+
+  protected:
+
+    const CoefficientsType& m_coeffs;
+    internal::variable_if_dynamic<Index, _Rows>   m_rows;
+    internal::variable_if_dynamic<Index, _Supers> m_supers;
+    internal::variable_if_dynamic<Index, _Subs>   m_subs;
+};
+
+/**
+  * \class TridiagonalMatrix
+  * \ingroup Core_Module
+  *
+  * \brief Represents a tridiagonal matrix with a compact banded storage
+  *
+  * \tparam Scalar Numeric type, i.e. float, double, int
+  * \tparam Size Number of rows and cols, or \b Dynamic
+  * \tparam Options Can be 0 or \b SelfAdjoint
+  *
+  * \sa class BandMatrix
+  */
+template<typename Scalar, int Size, int Options>
+class TridiagonalMatrix : public BandMatrix<Scalar,Size,Size,Options&SelfAdjoint?0:1,1,Options|RowMajor>
+{
+    typedef BandMatrix<Scalar,Size,Size,Options&SelfAdjoint?0:1,1,Options|RowMajor> Base;
+    typedef typename Base::StorageIndex StorageIndex;
+  public:
+    explicit TridiagonalMatrix(Index size = Size) : Base(size,size,Options&SelfAdjoint?0:1,1) {}
+
+    inline typename Base::template DiagonalIntReturnType<1>::Type super()
+    { return Base::template diagonal<1>(); }
+    inline const typename Base::template DiagonalIntReturnType<1>::Type super() const
+    { return Base::template diagonal<1>(); }
+    inline typename Base::template DiagonalIntReturnType<-1>::Type sub()
+    { return Base::template diagonal<-1>(); }
+    inline const typename Base::template DiagonalIntReturnType<-1>::Type sub() const
+    { return Base::template diagonal<-1>(); }
+  protected:
+};
+
+
+struct BandShape {};
+
+template<typename _Scalar, int _Rows, int _Cols, int _Supers, int _Subs, int _Options>
+struct evaluator_traits<BandMatrix<_Scalar,_Rows,_Cols,_Supers,_Subs,_Options> >
+  : public evaluator_traits_base<BandMatrix<_Scalar,_Rows,_Cols,_Supers,_Subs,_Options> >
+{
+  typedef BandShape Shape;
+};
+
+template<typename _CoefficientsType,int _Rows, int _Cols, int _Supers, int _Subs,int _Options>
+struct evaluator_traits<BandMatrixWrapper<_CoefficientsType,_Rows,_Cols,_Supers,_Subs,_Options> >
+  : public evaluator_traits_base<BandMatrixWrapper<_CoefficientsType,_Rows,_Cols,_Supers,_Subs,_Options> >
+{
+  typedef BandShape Shape;
+};
+
+template<> struct AssignmentKind<DenseShape,BandShape> { typedef EigenBase2EigenBase Kind; };
+
+} // end namespace internal
+
+} // end namespace Eigen
+
+#endif // EIGEN_BANDMATRIX_H
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/DenseBase.h
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/DenseBase.h	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/DenseBase.h	(revision 3761)
@@ -0,0 +1,612 @@
+// This file is part of Eigen, a lightweight C++ template library
+// for linear algebra.
+//
+// Copyright (C) 2007-2010 Benoit Jacob <jacob.benoit.1@gmail.com>
+// Copyright (C) 2008-2010 Gael Guennebaud <gael.guennebaud@inria.fr>
+//
+// This Source Code Form is subject to the terms of the Mozilla
+// Public License v. 2.0. If a copy of the MPL was not distributed
+// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
+
+#ifndef EIGEN_DENSEBASE_H
+#define EIGEN_DENSEBASE_H
+
+namespace Eigen {
+
+namespace internal {
+  
+// The index type defined by EIGEN_DEFAULT_DENSE_INDEX_TYPE must be a signed type.
+// This dummy function simply aims at checking that at compile time.
+static inline void check_DenseIndex_is_signed() {
+  EIGEN_STATIC_ASSERT(NumTraits<DenseIndex>::IsSigned,THE_INDEX_TYPE_MUST_BE_A_SIGNED_TYPE); 
+}
+
+} // end namespace internal
+  
+/** \class DenseBase
+  * \ingroup Core_Module
+  *
+  * \brief Base class for all dense matrices, vectors, and arrays
+  *
+  * This class is the base that is inherited by all dense objects (matrix, vector, arrays,
+  * and related expression types). The common Eigen API for dense objects is contained in this class.
+  *
+  * \tparam Derived is the derived type, e.g., a matrix type or an expression.
+  *
+  * This class can be extended with the help of the plugin mechanism described on the page
+  * \ref TopicCustomizing_Plugins by defining the preprocessor symbol \c EIGEN_DENSEBASE_PLUGIN.
+  *
+  * \sa \blank \ref TopicClassHierarchy
+  */
+template<typename Derived> class DenseBase
+#ifndef EIGEN_PARSED_BY_DOXYGEN
+  : public DenseCoeffsBase<Derived, internal::accessors_level<Derived>::value>
+#else
+  : public DenseCoeffsBase<Derived,DirectWriteAccessors>
+#endif // not EIGEN_PARSED_BY_DOXYGEN
+{
+  public:
+
+    /** Inner iterator type to iterate over the coefficients of a row or column.
+      * \sa class InnerIterator
+      */
+    typedef Eigen::InnerIterator<Derived> InnerIterator;
+
+    typedef typename internal::traits<Derived>::StorageKind StorageKind;
+
+    /**
+      * \brief The type used to store indices
+      * \details This typedef is relevant for types that store multiple indices such as
+      *          PermutationMatrix or Transpositions, otherwise it defaults to Eigen::Index
+      * \sa \blank \ref TopicPreprocessorDirectives, Eigen::Index, SparseMatrixBase.
+     */
+    typedef typename internal::traits<Derived>::StorageIndex StorageIndex;
+
+    /** The numeric type of the expression' coefficients, e.g. float, double, int or std::complex<float>, etc. */
+    typedef typename internal::traits<Derived>::Scalar Scalar;
+    
+    /** The numeric type of the expression' coefficients, e.g. float, double, int or std::complex<float>, etc.
+      *
+      * It is an alias for the Scalar type */
+    typedef Scalar value_type;
+    
+    typedef typename NumTraits<Scalar>::Real RealScalar;
+    typedef DenseCoeffsBase<Derived, internal::accessors_level<Derived>::value> Base;
+
+    using Base::derived;
+    using Base::const_cast_derived;
+    using Base::rows;
+    using Base::cols;
+    using Base::size;
+    using Base::rowIndexByOuterInner;
+    using Base::colIndexByOuterInner;
+    using Base::coeff;
+    using Base::coeffByOuterInner;
+    using Base::operator();
+    using Base::operator[];
+    using Base::x;
+    using Base::y;
+    using Base::z;
+    using Base::w;
+    using Base::stride;
+    using Base::innerStride;
+    using Base::outerStride;
+    using Base::rowStride;
+    using Base::colStride;
+    typedef typename Base::CoeffReturnType CoeffReturnType;
+
+    enum {
+
+      RowsAtCompileTime = internal::traits<Derived>::RowsAtCompileTime,
+        /**< The number of rows at compile-time. This is just a copy of the value provided
+          * by the \a Derived type. If a value is not known at compile-time,
+          * it is set to the \a Dynamic constant.
+          * \sa MatrixBase::rows(), MatrixBase::cols(), ColsAtCompileTime, SizeAtCompileTime */
+
+      ColsAtCompileTime = internal::traits<Derived>::ColsAtCompileTime,
+        /**< The number of columns at compile-time. This is just a copy of the value provided
+          * by the \a Derived type. If a value is not known at compile-time,
+          * it is set to the \a Dynamic constant.
+          * \sa MatrixBase::rows(), MatrixBase::cols(), RowsAtCompileTime, SizeAtCompileTime */
+
+
+      SizeAtCompileTime = (internal::size_at_compile_time<internal::traits<Derived>::RowsAtCompileTime,
+                                                   internal::traits<Derived>::ColsAtCompileTime>::ret),
+        /**< This is equal to the number of coefficients, i.e. the number of
+          * rows times the number of columns, or to \a Dynamic if this is not
+          * known at compile-time. \sa RowsAtCompileTime, ColsAtCompileTime */
+
+      MaxRowsAtCompileTime = internal::traits<Derived>::MaxRowsAtCompileTime,
+        /**< This value is equal to the maximum possible number of rows that this expression
+          * might have. If this expression might have an arbitrarily high number of rows,
+          * this value is set to \a Dynamic.
+          *
+          * This value is useful to know when evaluating an expression, in order to determine
+          * whether it is possible to avoid doing a dynamic memory allocation.
+          *
+          * \sa RowsAtCompileTime, MaxColsAtCompileTime, MaxSizeAtCompileTime
+          */
+
+      MaxColsAtCompileTime = internal::traits<Derived>::MaxColsAtCompileTime,
+        /**< This value is equal to the maximum possible number of columns that this expression
+          * might have. If this expression might have an arbitrarily high number of columns,
+          * this value is set to \a Dynamic.
+          *
+          * This value is useful to know when evaluating an expression, in order to determine
+          * whether it is possible to avoid doing a dynamic memory allocation.
+          *
+          * \sa ColsAtCompileTime, MaxRowsAtCompileTime, MaxSizeAtCompileTime
+          */
+
+      MaxSizeAtCompileTime = (internal::size_at_compile_time<internal::traits<Derived>::MaxRowsAtCompileTime,
+                                                      internal::traits<Derived>::MaxColsAtCompileTime>::ret),
+        /**< This value is equal to the maximum possible number of coefficients that this expression
+          * might have. If this expression might have an arbitrarily high number of coefficients,
+          * this value is set to \a Dynamic.
+          *
+          * This value is useful to know when evaluating an expression, in order to determine
+          * whether it is possible to avoid doing a dynamic memory allocation.
+          *
+          * \sa SizeAtCompileTime, MaxRowsAtCompileTime, MaxColsAtCompileTime
+          */
+
+      IsVectorAtCompileTime = internal::traits<Derived>::MaxRowsAtCompileTime == 1
+                           || internal::traits<Derived>::MaxColsAtCompileTime == 1,
+        /**< This is set to true if either the number of rows or the number of
+          * columns is known at compile-time to be equal to 1. Indeed, in that case,
+          * we are dealing with a column-vector (if there is only one column) or with
+          * a row-vector (if there is only one row). */
+
+      Flags = internal::traits<Derived>::Flags,
+        /**< This stores expression \ref flags flags which may or may not be inherited by new expressions
+          * constructed from this one. See the \ref flags "list of flags".
+          */
+
+      IsRowMajor = int(Flags) & RowMajorBit, /**< True if this expression has row-major storage order. */
+
+      InnerSizeAtCompileTime = int(IsVectorAtCompileTime) ? int(SizeAtCompileTime)
+                             : int(IsRowMajor) ? int(ColsAtCompileTime) : int(RowsAtCompileTime),
+
+      InnerStrideAtCompileTime = internal::inner_stride_at_compile_time<Derived>::ret,
+      OuterStrideAtCompileTime = internal::outer_stride_at_compile_time<Derived>::ret
+    };
+    
+    typedef typename internal::find_best_packet<Scalar,SizeAtCompileTime>::type PacketScalar;
+
+    enum { IsPlainObjectBase = 0 };
+    
+    /** The plain matrix type corresponding to this expression.
+      * \sa PlainObject */
+    typedef Matrix<typename internal::traits<Derived>::Scalar,
+                internal::traits<Derived>::RowsAtCompileTime,
+                internal::traits<Derived>::ColsAtCompileTime,
+                AutoAlign | (internal::traits<Derived>::Flags&RowMajorBit ? RowMajor : ColMajor),
+                internal::traits<Derived>::MaxRowsAtCompileTime,
+                internal::traits<Derived>::MaxColsAtCompileTime
+          > PlainMatrix;
+    
+    /** The plain array type corresponding to this expression.
+      * \sa PlainObject */
+    typedef Array<typename internal::traits<Derived>::Scalar,
+                internal::traits<Derived>::RowsAtCompileTime,
+                internal::traits<Derived>::ColsAtCompileTime,
+                AutoAlign | (internal::traits<Derived>::Flags&RowMajorBit ? RowMajor : ColMajor),
+                internal::traits<Derived>::MaxRowsAtCompileTime,
+                internal::traits<Derived>::MaxColsAtCompileTime
+          > PlainArray;
+
+    /** \brief The plain matrix or array type corresponding to this expression.
+      *
+      * This is not necessarily exactly the return type of eval(). In the case of plain matrices,
+      * the return type of eval() is a const reference to a matrix, not a matrix! It is however guaranteed
+      * that the return type of eval() is either PlainObject or const PlainObject&.
+      */
+    typedef typename internal::conditional<internal::is_same<typename internal::traits<Derived>::XprKind,MatrixXpr >::value,
+                                 PlainMatrix, PlainArray>::type PlainObject;
+
+    /** \returns the number of nonzero coefficients which is in practice the number
+      * of stored coefficients. */
+    EIGEN_DEVICE_FUNC
+    inline Index nonZeros() const { return size(); }
+
+    /** \returns the outer size.
+      *
+      * \note For a vector, this returns just 1. For a matrix (non-vector), this is the major dimension
+      * with respect to the \ref TopicStorageOrders "storage order", i.e., the number of columns for a
+      * column-major matrix, and the number of rows for a row-major matrix. */
+    EIGEN_DEVICE_FUNC
+    Index outerSize() const
+    {
+      return IsVectorAtCompileTime ? 1
+           : int(IsRowMajor) ? this->rows() : this->cols();
+    }
+
+    /** \returns the inner size.
+      *
+      * \note For a vector, this is just the size. For a matrix (non-vector), this is the minor dimension
+      * with respect to the \ref TopicStorageOrders "storage order", i.e., the number of rows for a 
+      * column-major matrix, and the number of columns for a row-major matrix. */
+    EIGEN_DEVICE_FUNC
+    Index innerSize() const
+    {
+      return IsVectorAtCompileTime ? this->size()
+           : int(IsRowMajor) ? this->cols() : this->rows();
+    }
+
+    /** Only plain matrices/arrays, not expressions, may be resized; therefore the only useful resize methods are
+      * Matrix::resize() and Array::resize(). The present method only asserts that the new size equals the old size, and does
+      * nothing else.
+      */
+    EIGEN_DEVICE_FUNC
+    void resize(Index newSize)
+    {
+      EIGEN_ONLY_USED_FOR_DEBUG(newSize);
+      eigen_assert(newSize == this->size()
+                && "DenseBase::resize() does not actually allow to resize.");
+    }
+    /** Only plain matrices/arrays, not expressions, may be resized; therefore the only useful resize methods are
+      * Matrix::resize() and Array::resize(). The present method only asserts that the new size equals the old size, and does
+      * nothing else.
+      */
+    EIGEN_DEVICE_FUNC
+    void resize(Index rows, Index cols)
+    {
+      EIGEN_ONLY_USED_FOR_DEBUG(rows);
+      EIGEN_ONLY_USED_FOR_DEBUG(cols);
+      eigen_assert(rows == this->rows() && cols == this->cols()
+                && "DenseBase::resize() does not actually allow to resize.");
+    }
+
+#ifndef EIGEN_PARSED_BY_DOXYGEN
+    /** \internal Represents a matrix with all coefficients equal to one another*/
+    typedef CwiseNullaryOp<internal::scalar_constant_op<Scalar>,PlainObject> ConstantReturnType;
+    /** \internal \deprecated Represents a vector with linearly spaced coefficients that allows sequential access only. */
+    typedef CwiseNullaryOp<internal::linspaced_op<Scalar,PacketScalar>,PlainObject> SequentialLinSpacedReturnType;
+    /** \internal Represents a vector with linearly spaced coefficients that allows random access. */
+    typedef CwiseNullaryOp<internal::linspaced_op<Scalar,PacketScalar>,PlainObject> RandomAccessLinSpacedReturnType;
+    /** \internal the return type of MatrixBase::eigenvalues() */
+    typedef Matrix<typename NumTraits<typename internal::traits<Derived>::Scalar>::Real, internal::traits<Derived>::ColsAtCompileTime, 1> EigenvaluesReturnType;
+
+#endif // not EIGEN_PARSED_BY_DOXYGEN
+
+    /** Copies \a other into *this. \returns a reference to *this. */
+    template<typename OtherDerived>
+    EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE
+    Derived& operator=(const DenseBase<OtherDerived>& other);
+
+    /** Special case of the template operator=, in order to prevent the compiler
+      * from generating a default operator= (issue hit with g++ 4.1)
+      */
+    EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE
+    Derived& operator=(const DenseBase& other);
+
+    template<typename OtherDerived>
+    EIGEN_DEVICE_FUNC
+    Derived& operator=(const EigenBase<OtherDerived> &other);
+
+    template<typename OtherDerived>
+    EIGEN_DEVICE_FUNC
+    Derived& operator+=(const EigenBase<OtherDerived> &other);
+
+    template<typename OtherDerived>
+    EIGEN_DEVICE_FUNC
+    Derived& operator-=(const EigenBase<OtherDerived> &other);
+
+    template<typename OtherDerived>
+    EIGEN_DEVICE_FUNC
+    Derived& operator=(const ReturnByValue<OtherDerived>& func);
+
+    /** \internal
+      * Copies \a other into *this without evaluating other. \returns a reference to *this.
+      * \deprecated */
+    template<typename OtherDerived>
+    EIGEN_DEVICE_FUNC
+    Derived& lazyAssign(const DenseBase<OtherDerived>& other);
+
+    EIGEN_DEVICE_FUNC
+    CommaInitializer<Derived> operator<< (const Scalar& s);
+
+    /** \deprecated it now returns \c *this */
+    template<unsigned int Added,unsigned int Removed>
+    EIGEN_DEPRECATED
+    const Derived& flagged() const
+    { return derived(); }
+
+    template<typename OtherDerived>
+    EIGEN_DEVICE_FUNC
+    CommaInitializer<Derived> operator<< (const DenseBase<OtherDerived>& other);
+
+    typedef Transpose<Derived> TransposeReturnType;
+    EIGEN_DEVICE_FUNC
+    TransposeReturnType transpose();
+    typedef typename internal::add_const<Transpose<const Derived> >::type ConstTransposeReturnType;
+    EIGEN_DEVICE_FUNC
+    ConstTransposeReturnType transpose() const;
+    EIGEN_DEVICE_FUNC
+    void transposeInPlace();
+
+    EIGEN_DEVICE_FUNC static const ConstantReturnType
+    Constant(Index rows, Index cols, const Scalar& value);
+    EIGEN_DEVICE_FUNC static const ConstantReturnType
+    Constant(Index size, const Scalar& value);
+    EIGEN_DEVICE_FUNC static const ConstantReturnType
+    Constant(const Scalar& value);
+
+    EIGEN_DEVICE_FUNC static const SequentialLinSpacedReturnType
+    LinSpaced(Sequential_t, Index size, const Scalar& low, const Scalar& high);
+    EIGEN_DEVICE_FUNC static const RandomAccessLinSpacedReturnType
+    LinSpaced(Index size, const Scalar& low, const Scalar& high);
+    EIGEN_DEVICE_FUNC static const SequentialLinSpacedReturnType
+    LinSpaced(Sequential_t, const Scalar& low, const Scalar& high);
+    EIGEN_DEVICE_FUNC static const RandomAccessLinSpacedReturnType
+    LinSpaced(const Scalar& low, const Scalar& high);
+
+    template<typename CustomNullaryOp> EIGEN_DEVICE_FUNC
+    static const CwiseNullaryOp<CustomNullaryOp, PlainObject>
+    NullaryExpr(Index rows, Index cols, const CustomNullaryOp& func);
+    template<typename CustomNullaryOp> EIGEN_DEVICE_FUNC
+    static const CwiseNullaryOp<CustomNullaryOp, PlainObject>
+    NullaryExpr(Index size, const CustomNullaryOp& func);
+    template<typename CustomNullaryOp> EIGEN_DEVICE_FUNC
+    static const CwiseNullaryOp<CustomNullaryOp, PlainObject>
+    NullaryExpr(const CustomNullaryOp& func);
+
+    EIGEN_DEVICE_FUNC static const ConstantReturnType Zero(Index rows, Index cols);
+    EIGEN_DEVICE_FUNC static const ConstantReturnType Zero(Index size);
+    EIGEN_DEVICE_FUNC static const ConstantReturnType Zero();
+    EIGEN_DEVICE_FUNC static const ConstantReturnType Ones(Index rows, Index cols);
+    EIGEN_DEVICE_FUNC static const ConstantReturnType Ones(Index size);
+    EIGEN_DEVICE_FUNC static const ConstantReturnType Ones();
+
+    EIGEN_DEVICE_FUNC void fill(const Scalar& value);
+    EIGEN_DEVICE_FUNC Derived& setConstant(const Scalar& value);
+    EIGEN_DEVICE_FUNC Derived& setLinSpaced(Index size, const Scalar& low, const Scalar& high);
+    EIGEN_DEVICE_FUNC Derived& setLinSpaced(const Scalar& low, const Scalar& high);
+    EIGEN_DEVICE_FUNC Derived& setZero();
+    EIGEN_DEVICE_FUNC Derived& setOnes();
+    EIGEN_DEVICE_FUNC Derived& setRandom();
+
+    template<typename OtherDerived> EIGEN_DEVICE_FUNC
+    bool isApprox(const DenseBase<OtherDerived>& other,
+                  const RealScalar& prec = NumTraits<Scalar>::dummy_precision()) const;
+    EIGEN_DEVICE_FUNC 
+    bool isMuchSmallerThan(const RealScalar& other,
+                           const RealScalar& prec = NumTraits<Scalar>::dummy_precision()) const;
+    template<typename OtherDerived> EIGEN_DEVICE_FUNC
+    bool isMuchSmallerThan(const DenseBase<OtherDerived>& other,
+                           const RealScalar& prec = NumTraits<Scalar>::dummy_precision()) const;
+
+    EIGEN_DEVICE_FUNC bool isApproxToConstant(const Scalar& value, const RealScalar& prec = NumTraits<Scalar>::dummy_precision()) const;
+    EIGEN_DEVICE_FUNC bool isConstant(const Scalar& value, const RealScalar& prec = NumTraits<Scalar>::dummy_precision()) const;
+    EIGEN_DEVICE_FUNC bool isZero(const RealScalar& prec = NumTraits<Scalar>::dummy_precision()) const;
+    EIGEN_DEVICE_FUNC bool isOnes(const RealScalar& prec = NumTraits<Scalar>::dummy_precision()) const;
+    
+    inline bool hasNaN() const;
+    inline bool allFinite() const;
+
+    EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE
+    Derived& operator*=(const Scalar& other);
+    EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE
+    Derived& operator/=(const Scalar& other);
+
+    typedef typename internal::add_const_on_value_type<typename internal::eval<Derived>::type>::type EvalReturnType;
+    /** \returns the matrix or vector obtained by evaluating this expression.
+      *
+      * Notice that in the case of a plain matrix or vector (not an expression) this function just returns
+      * a const reference, in order to avoid a useless copy.
+      * 
+      * \warning Be carefull with eval() and the auto C++ keyword, as detailed in this \link TopicPitfalls_auto_keyword page \endlink.
+      */
+    EIGEN_DEVICE_FUNC
+    EIGEN_STRONG_INLINE EvalReturnType eval() const
+    {
+      // Even though MSVC does not honor strong inlining when the return type
+      // is a dynamic matrix, we desperately need strong inlining for fixed
+      // size types on MSVC.
+      return typename internal::eval<Derived>::type(derived());
+    }
+    
+    /** swaps *this with the expression \a other.
+      *
+      */
+    template<typename OtherDerived>
+    EIGEN_DEVICE_FUNC
+    void swap(const DenseBase<OtherDerived>& other)
+    {
+      EIGEN_STATIC_ASSERT(!OtherDerived::IsPlainObjectBase,THIS_EXPRESSION_IS_NOT_A_LVALUE__IT_IS_READ_ONLY);
+      eigen_assert(rows()==other.rows() && cols()==other.cols());
+      call_assignment(derived(), other.const_cast_derived(), internal::swap_assign_op<Scalar>());
+    }
+
+    /** swaps *this with the matrix or array \a other.
+      *
+      */
+    template<typename OtherDerived>
+    EIGEN_DEVICE_FUNC
+    void swap(PlainObjectBase<OtherDerived>& other)
+    {
+      eigen_assert(rows()==other.rows() && cols()==other.cols());
+      call_assignment(derived(), other.derived(), internal::swap_assign_op<Scalar>());
+    }
+
+    EIGEN_DEVICE_FUNC inline const NestByValue<Derived> nestByValue() const;
+    EIGEN_DEVICE_FUNC inline const ForceAlignedAccess<Derived> forceAlignedAccess() const;
+    EIGEN_DEVICE_FUNC inline ForceAlignedAccess<Derived> forceAlignedAccess();
+    template<bool Enable> EIGEN_DEVICE_FUNC
+    inline const typename internal::conditional<Enable,ForceAlignedAccess<Derived>,Derived&>::type forceAlignedAccessIf() const;
+    template<bool Enable> EIGEN_DEVICE_FUNC
+    inline typename internal::conditional<Enable,ForceAlignedAccess<Derived>,Derived&>::type forceAlignedAccessIf();
+
+    EIGEN_DEVICE_FUNC Scalar sum() const;
+    EIGEN_DEVICE_FUNC Scalar mean() const;
+    EIGEN_DEVICE_FUNC Scalar trace() const;
+
+    EIGEN_DEVICE_FUNC Scalar prod() const;
+
+    EIGEN_DEVICE_FUNC typename internal::traits<Derived>::Scalar minCoeff() const;
+    EIGEN_DEVICE_FUNC typename internal::traits<Derived>::Scalar maxCoeff() const;
+
+    template<typename IndexType> EIGEN_DEVICE_FUNC
+    typename internal::traits<Derived>::Scalar minCoeff(IndexType* row, IndexType* col) const;
+    template<typename IndexType> EIGEN_DEVICE_FUNC
+    typename internal::traits<Derived>::Scalar maxCoeff(IndexType* row, IndexType* col) const;
+    template<typename IndexType> EIGEN_DEVICE_FUNC
+    typename internal::traits<Derived>::Scalar minCoeff(IndexType* index) const;
+    template<typename IndexType> EIGEN_DEVICE_FUNC
+    typename internal::traits<Derived>::Scalar maxCoeff(IndexType* index) const;
+
+    template<typename BinaryOp>
+    EIGEN_DEVICE_FUNC
+    Scalar redux(const BinaryOp& func) const;
+
+    template<typename Visitor>
+    EIGEN_DEVICE_FUNC
+    void visit(Visitor& func) const;
+
+    /** \returns a WithFormat proxy object allowing to print a matrix the with given
+      * format \a fmt.
+      *
+      * See class IOFormat for some examples.
+      *
+      * \sa class IOFormat, class WithFormat
+      */
+    inline const WithFormat<Derived> format(const IOFormat& fmt) const
+    {
+      return WithFormat<Derived>(derived(), fmt);
+    }
+
+    /** \returns the unique coefficient of a 1x1 expression */
+    EIGEN_DEVICE_FUNC
+    CoeffReturnType value() const
+    {
+      EIGEN_STATIC_ASSERT_SIZE_1x1(Derived)
+      eigen_assert(this->rows() == 1 && this->cols() == 1);
+      return derived().coeff(0,0);
+    }
+
+    EIGEN_DEVICE_FUNC bool all() const;
+    EIGEN_DEVICE_FUNC bool any() const;
+    EIGEN_DEVICE_FUNC Index count() const;
+
+    typedef VectorwiseOp<Derived, Horizontal> RowwiseReturnType;
+    typedef const VectorwiseOp<const Derived, Horizontal> ConstRowwiseReturnType;
+    typedef VectorwiseOp<Derived, Vertical> ColwiseReturnType;
+    typedef const VectorwiseOp<const Derived, Vertical> ConstColwiseReturnType;
+
+    /** \returns a VectorwiseOp wrapper of *this providing additional partial reduction operations
+    *
+    * Example: \include MatrixBase_rowwise.cpp
+    * Output: \verbinclude MatrixBase_rowwise.out
+    *
+    * \sa colwise(), class VectorwiseOp, \ref TutorialReductionsVisitorsBroadcasting
+    */
+    //Code moved here due to a CUDA compiler bug
+    EIGEN_DEVICE_FUNC inline ConstRowwiseReturnType rowwise() const {
+      return ConstRowwiseReturnType(derived());
+    }
+    EIGEN_DEVICE_FUNC RowwiseReturnType rowwise();
+
+    /** \returns a VectorwiseOp wrapper of *this providing additional partial reduction operations
+    *
+    * Example: \include MatrixBase_colwise.cpp
+    * Output: \verbinclude MatrixBase_colwise.out
+    *
+    * \sa rowwise(), class VectorwiseOp, \ref TutorialReductionsVisitorsBroadcasting
+    */
+    EIGEN_DEVICE_FUNC inline ConstColwiseReturnType colwise() const {
+      return ConstColwiseReturnType(derived());
+    }
+    EIGEN_DEVICE_FUNC ColwiseReturnType colwise();
+
+    typedef CwiseNullaryOp<internal::scalar_random_op<Scalar>,PlainObject> RandomReturnType;
+    static const RandomReturnType Random(Index rows, Index cols);
+    static const RandomReturnType Random(Index size);
+    static const RandomReturnType Random();
+
+    template<typename ThenDerived,typename ElseDerived>
+    const Select<Derived,ThenDerived,ElseDerived>
+    select(const DenseBase<ThenDerived>& thenMatrix,
+           const DenseBase<ElseDerived>& elseMatrix) const;
+
+    template<typename ThenDerived>
+    inline const Select<Derived,ThenDerived, typename ThenDerived::ConstantReturnType>
+    select(const DenseBase<ThenDerived>& thenMatrix, const typename ThenDerived::Scalar& elseScalar) const;
+
+    template<typename ElseDerived>
+    inline const Select<Derived, typename ElseDerived::ConstantReturnType, ElseDerived >
+    select(const typename ElseDerived::Scalar& thenScalar, const DenseBase<ElseDerived>& elseMatrix) const;
+
+    template<int p> RealScalar lpNorm() const;
+
+    template<int RowFactor, int ColFactor>
+    EIGEN_DEVICE_FUNC
+    const Replicate<Derived,RowFactor,ColFactor> replicate() const;
+    /**
+    * \return an expression of the replication of \c *this
+    *
+    * Example: \include MatrixBase_replicate_int_int.cpp
+    * Output: \verbinclude MatrixBase_replicate_int_int.out
+    *
+    * \sa VectorwiseOp::replicate(), DenseBase::replicate<int,int>(), class Replicate
+    */
+    //Code moved here due to a CUDA compiler bug
+    EIGEN_DEVICE_FUNC
+    const Replicate<Derived, Dynamic, Dynamic> replicate(Index rowFactor, Index colFactor) const
+    {
+      return Replicate<Derived, Dynamic, Dynamic>(derived(), rowFactor, colFactor);
+    }
+
+    typedef Reverse<Derived, BothDirections> ReverseReturnType;
+    typedef const Reverse<const Derived, BothDirections> ConstReverseReturnType;
+    EIGEN_DEVICE_FUNC ReverseReturnType reverse();
+    /** This is the const version of reverse(). */
+    //Code moved here due to a CUDA compiler bug
+    EIGEN_DEVICE_FUNC ConstReverseReturnType reverse() const
+    {
+      return ConstReverseReturnType(derived());
+    }
+    EIGEN_DEVICE_FUNC void reverseInPlace();
+
+#define EIGEN_CURRENT_STORAGE_BASE_CLASS Eigen::DenseBase
+#define EIGEN_DOC_BLOCK_ADDONS_NOT_INNER_PANEL
+#define EIGEN_DOC_BLOCK_ADDONS_INNER_PANEL_IF(COND)
+#   include "../plugins/BlockMethods.h"
+#   ifdef EIGEN_DENSEBASE_PLUGIN
+#     include EIGEN_DENSEBASE_PLUGIN
+#   endif
+#undef EIGEN_CURRENT_STORAGE_BASE_CLASS
+#undef EIGEN_DOC_BLOCK_ADDONS_NOT_INNER_PANEL
+#undef EIGEN_DOC_BLOCK_ADDONS_INNER_PANEL_IF
+
+    // disable the use of evalTo for dense objects with a nice compilation error
+    template<typename Dest>
+    EIGEN_DEVICE_FUNC
+    inline void evalTo(Dest& ) const
+    {
+      EIGEN_STATIC_ASSERT((internal::is_same<Dest,void>::value),THE_EVAL_EVALTO_FUNCTION_SHOULD_NEVER_BE_CALLED_FOR_DENSE_OBJECTS);
+    }
+
+  protected:
+    EIGEN_DEFAULT_COPY_CONSTRUCTOR(DenseBase)
+    /** Default constructor. Do nothing. */
+    EIGEN_DEVICE_FUNC DenseBase()
+    {
+      /* Just checks for self-consistency of the flags.
+       * Only do it when debugging Eigen, as this borders on paranoia and could slow compilation down
+       */
+#ifdef EIGEN_INTERNAL_DEBUGGING
+      EIGEN_STATIC_ASSERT((EIGEN_IMPLIES(MaxRowsAtCompileTime==1 && MaxColsAtCompileTime!=1, int(IsRowMajor))
+                        && EIGEN_IMPLIES(MaxColsAtCompileTime==1 && MaxRowsAtCompileTime!=1, int(!IsRowMajor))),
+                          INVALID_STORAGE_ORDER_FOR_THIS_VECTOR_EXPRESSION)
+#endif
+    }
+
+  private:
+    EIGEN_DEVICE_FUNC explicit DenseBase(int);
+    EIGEN_DEVICE_FUNC DenseBase(int,int);
+    template<typename OtherDerived> EIGEN_DEVICE_FUNC explicit DenseBase(const DenseBase<OtherDerived>&);
+};
+
+} // end namespace Eigen
+
+#endif // EIGEN_DENSEBASE_H
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h	(revision 3761)
@@ -0,0 +1,985 @@
+// This file is part of Eigen, a lightweight C++ template library
+// for linear algebra.
+//
+// Copyright (C) 2008 Benoit Jacob <jacob.benoit.1@gmail.com>
+// Copyright (C) 2008-2009 Gael Guennebaud <gael.guennebaud@inria.fr>
+//
+// This Source Code Form is subject to the terms of the Mozilla
+// Public License v. 2.0. If a copy of the MPL was not distributed
+// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
+
+#ifndef EIGEN_TRIANGULARMATRIX_H
+#define EIGEN_TRIANGULARMATRIX_H
+
+namespace Eigen { 
+
+namespace internal {
+  
+template<int Side, typename TriangularType, typename Rhs> struct triangular_solve_retval;
+  
+}
+
+/** \class TriangularBase
+  * \ingroup Core_Module
+  *
+  * \brief Base class for triangular part in a matrix
+  */
+template<typename Derived> class TriangularBase : public EigenBase<Derived>
+{
+  public:
+
+    enum {
+      Mode = internal::traits<Derived>::Mode,
+      RowsAtCompileTime = internal::traits<Derived>::RowsAtCompileTime,
+      ColsAtCompileTime = internal::traits<Derived>::ColsAtCompileTime,
+      MaxRowsAtCompileTime = internal::traits<Derived>::MaxRowsAtCompileTime,
+      MaxColsAtCompileTime = internal::traits<Derived>::MaxColsAtCompileTime,
+      
+      SizeAtCompileTime = (internal::size_at_compile_time<internal::traits<Derived>::RowsAtCompileTime,
+                                                   internal::traits<Derived>::ColsAtCompileTime>::ret),
+      /**< This is equal to the number of coefficients, i.e. the number of
+          * rows times the number of columns, or to \a Dynamic if this is not
+          * known at compile-time. \sa RowsAtCompileTime, ColsAtCompileTime */
+      
+      MaxSizeAtCompileTime = (internal::size_at_compile_time<internal::traits<Derived>::MaxRowsAtCompileTime,
+                                                   internal::traits<Derived>::MaxColsAtCompileTime>::ret)
+        
+    };
+    typedef typename internal::traits<Derived>::Scalar Scalar;
+    typedef typename internal::traits<Derived>::StorageKind StorageKind;
+    typedef typename internal::traits<Derived>::StorageIndex StorageIndex;
+    typedef typename internal::traits<Derived>::FullMatrixType DenseMatrixType;
+    typedef DenseMatrixType DenseType;
+    typedef Derived const& Nested;
+
+    EIGEN_DEVICE_FUNC
+    inline TriangularBase() { eigen_assert(!((Mode&UnitDiag) && (Mode&ZeroDiag))); }
+
+    EIGEN_DEVICE_FUNC
+    inline Index rows() const { return derived().rows(); }
+    EIGEN_DEVICE_FUNC
+    inline Index cols() const { return derived().cols(); }
+    EIGEN_DEVICE_FUNC
+    inline Index outerStride() const { return derived().outerStride(); }
+    EIGEN_DEVICE_FUNC
+    inline Index innerStride() const { return derived().innerStride(); }
+    
+    // dummy resize function
+    void resize(Index rows, Index cols)
+    {
+      EIGEN_UNUSED_VARIABLE(rows);
+      EIGEN_UNUSED_VARIABLE(cols);
+      eigen_assert(rows==this->rows() && cols==this->cols());
+    }
+
+    EIGEN_DEVICE_FUNC
+    inline Scalar coeff(Index row, Index col) const  { return derived().coeff(row,col); }
+    EIGEN_DEVICE_FUNC
+    inline Scalar& coeffRef(Index row, Index col) { return derived().coeffRef(row,col); }
+
+    /** \see MatrixBase::copyCoeff(row,col)
+      */
+    template<typename Other>
+    EIGEN_DEVICE_FUNC
+    EIGEN_STRONG_INLINE void copyCoeff(Index row, Index col, Other& other)
+    {
+      derived().coeffRef(row, col) = other.coeff(row, col);
+    }
+
+    EIGEN_DEVICE_FUNC
+    inline Scalar operator()(Index row, Index col) const
+    {
+      check_coordinates(row, col);
+      return coeff(row,col);
+    }
+    EIGEN_DEVICE_FUNC
+    inline Scalar& operator()(Index row, Index col)
+    {
+      check_coordinates(row, col);
+      return coeffRef(row,col);
+    }
+
+    #ifndef EIGEN_PARSED_BY_DOXYGEN
+    EIGEN_DEVICE_FUNC
+    inline const Derived& derived() const { return *static_cast<const Derived*>(this); }
+    EIGEN_DEVICE_FUNC
+    inline Derived& derived() { return *static_cast<Derived*>(this); }
+    #endif // not EIGEN_PARSED_BY_DOXYGEN
+
+    template<typename DenseDerived>
+    EIGEN_DEVICE_FUNC
+    void evalTo(MatrixBase<DenseDerived> &other) const;
+    template<typename DenseDerived>
+    EIGEN_DEVICE_FUNC
+    void evalToLazy(MatrixBase<DenseDerived> &other) const;
+
+    EIGEN_DEVICE_FUNC
+    DenseMatrixType toDenseMatrix() const
+    {
+      DenseMatrixType res(rows(), cols());
+      evalToLazy(res);
+      return res;
+    }
+
+  protected:
+
+    void check_coordinates(Index row, Index col) const
+    {
+      EIGEN_ONLY_USED_FOR_DEBUG(row);
+      EIGEN_ONLY_USED_FOR_DEBUG(col);
+      eigen_assert(col>=0 && col<cols() && row>=0 && row<rows());
+      const int mode = int(Mode) & ~SelfAdjoint;
+      EIGEN_ONLY_USED_FOR_DEBUG(mode);
+      eigen_assert((mode==Upper && col>=row)
+                || (mode==Lower && col<=row)
+                || ((mode==StrictlyUpper || mode==UnitUpper) && col>row)
+                || ((mode==StrictlyLower || mode==UnitLower) && col<row));
+    }
+
+    #ifdef EIGEN_INTERNAL_DEBUGGING
+    void check_coordinates_internal(Index row, Index col) const
+    {
+      check_coordinates(row, col);
+    }
+    #else
+    void check_coordinates_internal(Index , Index ) const {}
+    #endif
+
+};
+
+/** \class TriangularView
+  * \ingroup Core_Module
+  *
+  * \brief Expression of a triangular part in a matrix
+  *
+  * \param MatrixType the type of the object in which we are taking the triangular part
+  * \param Mode the kind of triangular matrix expression to construct. Can be #Upper,
+  *             #Lower, #UnitUpper, #UnitLower, #StrictlyUpper, or #StrictlyLower.
+  *             This is in fact a bit field; it must have either #Upper or #Lower, 
+  *             and additionally it may have #UnitDiag or #ZeroDiag or neither.
+  *
+  * This class represents a triangular part of a matrix, not necessarily square. Strictly speaking, for rectangular
+  * matrices one should speak of "trapezoid" parts. This class is the return type
+  * of MatrixBase::triangularView() and SparseMatrixBase::triangularView(), and most of the time this is the only way it is used.
+  *
+  * \sa MatrixBase::triangularView()
+  */
+namespace internal {
+template<typename MatrixType, unsigned int _Mode>
+struct traits<TriangularView<MatrixType, _Mode> > : traits<MatrixType>
+{
+  typedef typename ref_selector<MatrixType>::non_const_type MatrixTypeNested;
+  typedef typename remove_reference<MatrixTypeNested>::type MatrixTypeNestedNonRef;
+  typedef typename remove_all<MatrixTypeNested>::type MatrixTypeNestedCleaned;
+  typedef typename MatrixType::PlainObject FullMatrixType;
+  typedef MatrixType ExpressionType;
+  enum {
+    Mode = _Mode,
+    FlagsLvalueBit = is_lvalue<MatrixType>::value ? LvalueBit : 0,
+    Flags = (MatrixTypeNestedCleaned::Flags & (HereditaryBits | FlagsLvalueBit) & (~(PacketAccessBit | DirectAccessBit | LinearAccessBit)))
+  };
+};
+}
+
+template<typename _MatrixType, unsigned int _Mode, typename StorageKind> class TriangularViewImpl;
+
+template<typename _MatrixType, unsigned int _Mode> class TriangularView
+  : public TriangularViewImpl<_MatrixType, _Mode, typename internal::traits<_MatrixType>::StorageKind >
+{
+  public:
+
+    typedef TriangularViewImpl<_MatrixType, _Mode, typename internal::traits<_MatrixType>::StorageKind > Base;
+    typedef typename internal::traits<TriangularView>::Scalar Scalar;
+    typedef _MatrixType MatrixType;
+
+  protected:
+    typedef typename internal::traits<TriangularView>::MatrixTypeNested MatrixTypeNested;
+    typedef typename internal::traits<TriangularView>::MatrixTypeNestedNonRef MatrixTypeNestedNonRef;
+
+    typedef typename internal::remove_all<typename MatrixType::ConjugateReturnType>::type MatrixConjugateReturnType;
+    
+  public:
+
+    typedef typename internal::traits<TriangularView>::StorageKind StorageKind;
+    typedef typename internal::traits<TriangularView>::MatrixTypeNestedCleaned NestedExpression;
+
+    enum {
+      Mode = _Mode,
+      Flags = internal::traits<TriangularView>::Flags,
+      TransposeMode = (Mode & Upper ? Lower : 0)
+                    | (Mode & Lower ? Upper : 0)
+                    | (Mode & (UnitDiag))
+                    | (Mode & (ZeroDiag)),
+      IsVectorAtCompileTime = false
+    };
+
+    EIGEN_DEVICE_FUNC
+    explicit inline TriangularView(MatrixType& matrix) : m_matrix(matrix)
+    {}
+    
+    EIGEN_INHERIT_ASSIGNMENT_OPERATORS(TriangularView)
+
+    /** \copydoc EigenBase::rows() */
+    EIGEN_DEVICE_FUNC
+    inline Index rows() const { return m_matrix.rows(); }
+    /** \copydoc EigenBase::cols() */
+    EIGEN_DEVICE_FUNC
+    inline Index cols() const { return m_matrix.cols(); }
+
+    /** \returns a const reference to the nested expression */
+    EIGEN_DEVICE_FUNC
+    const NestedExpression& nestedExpression() const { return m_matrix; }
+
+    /** \returns a reference to the nested expression */
+    EIGEN_DEVICE_FUNC
+    NestedExpression& nestedExpression() { return m_matrix; }
+    
+    typedef TriangularView<const MatrixConjugateReturnType,Mode> ConjugateReturnType;
+    /** \sa MatrixBase::conjugate() const */
+    EIGEN_DEVICE_FUNC
+    inline const ConjugateReturnType conjugate() const
+    { return ConjugateReturnType(m_matrix.conjugate()); }
+
+    typedef TriangularView<const typename MatrixType::AdjointReturnType,TransposeMode> AdjointReturnType;
+    /** \sa MatrixBase::adjoint() const */
+    EIGEN_DEVICE_FUNC
+    inline const AdjointReturnType adjoint() const
+    { return AdjointReturnType(m_matrix.adjoint()); }
+
+    typedef TriangularView<typename MatrixType::TransposeReturnType,TransposeMode> TransposeReturnType;
+     /** \sa MatrixBase::transpose() */
+    EIGEN_DEVICE_FUNC
+    inline TransposeReturnType transpose()
+    {
+      EIGEN_STATIC_ASSERT_LVALUE(MatrixType)
+      typename MatrixType::TransposeReturnType tmp(m_matrix);
+      return TransposeReturnType(tmp);
+    }
+    
+    typedef TriangularView<const typename MatrixType::ConstTransposeReturnType,TransposeMode> ConstTransposeReturnType;
+    /** \sa MatrixBase::transpose() const */
+    EIGEN_DEVICE_FUNC
+    inline const ConstTransposeReturnType transpose() const
+    {
+      return ConstTransposeReturnType(m_matrix.transpose());
+    }
+
+    template<typename Other>
+    EIGEN_DEVICE_FUNC
+    inline const Solve<TriangularView, Other> 
+    solve(const MatrixBase<Other>& other) const
+    { return Solve<TriangularView, Other>(*this, other.derived()); }
+    
+  // workaround MSVC ICE
+  #if EIGEN_COMP_MSVC
+    template<int Side, typename Other>
+    EIGEN_DEVICE_FUNC
+    inline const internal::triangular_solve_retval<Side,TriangularView, Other>
+    solve(const MatrixBase<Other>& other) const
+    { return Base::template solve<Side>(other); }
+  #else
+    using Base::solve;
+  #endif
+
+    /** \returns a selfadjoint view of the referenced triangular part which must be either \c #Upper or \c #Lower.
+      *
+      * This is a shortcut for \code this->nestedExpression().selfadjointView<(*this)::Mode>() \endcode
+      * \sa MatrixBase::selfadjointView() */
+    EIGEN_DEVICE_FUNC
+    SelfAdjointView<MatrixTypeNestedNonRef,Mode> selfadjointView()
+    {
+      EIGEN_STATIC_ASSERT((Mode&(UnitDiag|ZeroDiag))==0,PROGRAMMING_ERROR);
+      return SelfAdjointView<MatrixTypeNestedNonRef,Mode>(m_matrix);
+    }
+
+    /** This is the const version of selfadjointView() */
+    EIGEN_DEVICE_FUNC
+    const SelfAdjointView<MatrixTypeNestedNonRef,Mode> selfadjointView() const
+    {
+      EIGEN_STATIC_ASSERT((Mode&(UnitDiag|ZeroDiag))==0,PROGRAMMING_ERROR);
+      return SelfAdjointView<MatrixTypeNestedNonRef,Mode>(m_matrix);
+    }
+
+
+    /** \returns the determinant of the triangular matrix
+      * \sa MatrixBase::determinant() */
+    EIGEN_DEVICE_FUNC
+    Scalar determinant() const
+    {
+      if (Mode & UnitDiag)
+        return 1;
+      else if (Mode & ZeroDiag)
+        return 0;
+      else
+        return m_matrix.diagonal().prod();
+    }
+      
+  protected:
+
+    MatrixTypeNested m_matrix;
+};
+
+/** \ingroup Core_Module
+  *
+  * \brief Base class for a triangular part in a \b dense matrix
+  *
+  * This class is an abstract base class of class TriangularView, and objects of type TriangularViewImpl cannot be instantiated.
+  * It extends class TriangularView with additional methods which available for dense expressions only.
+  *
+  * \sa class TriangularView, MatrixBase::triangularView()
+  */
+template<typename _MatrixType, unsigned int _Mode> class TriangularViewImpl<_MatrixType,_Mode,Dense>
+  : public TriangularBase<TriangularView<_MatrixType, _Mode> >
+{
+  public:
+
+    typedef TriangularView<_MatrixType, _Mode> TriangularViewType;
+    typedef TriangularBase<TriangularViewType> Base;
+    typedef typename internal::traits<TriangularViewType>::Scalar Scalar;
+
+    typedef _MatrixType MatrixType;
+    typedef typename MatrixType::PlainObject DenseMatrixType;
+    typedef DenseMatrixType PlainObject;
+
+  public:
+    using Base::evalToLazy;
+    using Base::derived;
+
+    typedef typename internal::traits<TriangularViewType>::StorageKind StorageKind;
+
+    enum {
+      Mode = _Mode,
+      Flags = internal::traits<TriangularViewType>::Flags
+    };
+
+    /** \returns the outer-stride of the underlying dense matrix
+      * \sa DenseCoeffsBase::outerStride() */
+    EIGEN_DEVICE_FUNC
+    inline Index outerStride() const { return derived().nestedExpression().outerStride(); }
+    /** \returns the inner-stride of the underlying dense matrix
+      * \sa DenseCoeffsBase::innerStride() */
+    EIGEN_DEVICE_FUNC
+    inline Index innerStride() const { return derived().nestedExpression().innerStride(); }
+
+    /** \sa MatrixBase::operator+=() */
+    template<typename Other>
+    EIGEN_DEVICE_FUNC
+    TriangularViewType&  operator+=(const DenseBase<Other>& other) {
+      internal::call_assignment_no_alias(derived(), other.derived(), internal::add_assign_op<Scalar,typename Other::Scalar>());
+      return derived();
+    }
+    /** \sa MatrixBase::operator-=() */
+    template<typename Other>
+    EIGEN_DEVICE_FUNC
+    TriangularViewType&  operator-=(const DenseBase<Other>& other) {
+      internal::call_assignment_no_alias(derived(), other.derived(), internal::sub_assign_op<Scalar,typename Other::Scalar>());
+      return derived();
+    }
+    
+    /** \sa MatrixBase::operator*=() */
+    EIGEN_DEVICE_FUNC
+    TriangularViewType&  operator*=(const typename internal::traits<MatrixType>::Scalar& other) { return *this = derived().nestedExpression() * other; }
+    /** \sa DenseBase::operator/=() */
+    EIGEN_DEVICE_FUNC
+    TriangularViewType&  operator/=(const typename internal::traits<MatrixType>::Scalar& other) { return *this = derived().nestedExpression() / other; }
+
+    /** \sa MatrixBase::fill() */
+    EIGEN_DEVICE_FUNC
+    void fill(const Scalar& value) { setConstant(value); }
+    /** \sa MatrixBase::setConstant() */
+    EIGEN_DEVICE_FUNC
+    TriangularViewType& setConstant(const Scalar& value)
+    { return *this = MatrixType::Constant(derived().rows(), derived().cols(), value); }
+    /** \sa MatrixBase::setZero() */
+    EIGEN_DEVICE_FUNC
+    TriangularViewType& setZero() { return setConstant(Scalar(0)); }
+    /** \sa MatrixBase::setOnes() */
+    EIGEN_DEVICE_FUNC
+    TriangularViewType& setOnes() { return setConstant(Scalar(1)); }
+
+    /** \sa MatrixBase::coeff()
+      * \warning the coordinates must fit into the referenced triangular part
+      */
+    EIGEN_DEVICE_FUNC
+    inline Scalar coeff(Index row, Index col) const
+    {
+      Base::check_coordinates_internal(row, col);
+      return derived().nestedExpression().coeff(row, col);
+    }
+
+    /** \sa MatrixBase::coeffRef()
+      * \warning the coordinates must fit into the referenced triangular part
+      */
+    EIGEN_DEVICE_FUNC
+    inline Scalar& coeffRef(Index row, Index col)
+    {
+      EIGEN_STATIC_ASSERT_LVALUE(TriangularViewType);
+      Base::check_coordinates_internal(row, col);
+      return derived().nestedExpression().coeffRef(row, col);
+    }
+
+    /** Assigns a triangular matrix to a triangular part of a dense matrix */
+    template<typename OtherDerived>
+    EIGEN_DEVICE_FUNC
+    TriangularViewType& operator=(const TriangularBase<OtherDerived>& other);
+
+    /** Shortcut for\code *this = other.other.triangularView<(*this)::Mode>() \endcode */
+    template<typename OtherDerived>
+    EIGEN_DEVICE_FUNC
+    TriangularViewType& operator=(const MatrixBase<OtherDerived>& other);
+
+#ifndef EIGEN_PARSED_BY_DOXYGEN
+    EIGEN_DEVICE_FUNC
+    TriangularViewType& operator=(const TriangularViewImpl& other)
+    { return *this = other.derived().nestedExpression(); }
+
+    /** \deprecated */
+    template<typename OtherDerived>
+    EIGEN_DEVICE_FUNC
+    void lazyAssign(const TriangularBase<OtherDerived>& other);
+
+    /** \deprecated */
+    template<typename OtherDerived>
+    EIGEN_DEVICE_FUNC
+    void lazyAssign(const MatrixBase<OtherDerived>& other);
+#endif
+
+    /** Efficient triangular matrix times vector/matrix product */
+    template<typename OtherDerived>
+    EIGEN_DEVICE_FUNC
+    const Product<TriangularViewType,OtherDerived>
+    operator*(const MatrixBase<OtherDerived>& rhs) const
+    {
+      return Product<TriangularViewType,OtherDerived>(derived(), rhs.derived());
+    }
+
+    /** Efficient vector/matrix times triangular matrix product */
+    template<typename OtherDerived> friend
+    EIGEN_DEVICE_FUNC
+    const Product<OtherDerived,TriangularViewType>
+    operator*(const MatrixBase<OtherDerived>& lhs, const TriangularViewImpl& rhs)
+    {
+      return Product<OtherDerived,TriangularViewType>(lhs.derived(),rhs.derived());
+    }
+
+    /** \returns the product of the inverse of \c *this with \a other, \a *this being triangular.
+      *
+      * This function computes the inverse-matrix matrix product inverse(\c *this) * \a other if
+      * \a Side==OnTheLeft (the default), or the right-inverse-multiply  \a other * inverse(\c *this) if
+      * \a Side==OnTheRight.
+      *
+      * Note that the template parameter \c Side can be ommitted, in which case \c Side==OnTheLeft
+      *
+      * The matrix \c *this must be triangular and invertible (i.e., all the coefficients of the
+      * diagonal must be non zero). It works as a forward (resp. backward) substitution if \c *this
+      * is an upper (resp. lower) triangular matrix.
+      *
+      * Example: \include Triangular_solve.cpp
+      * Output: \verbinclude Triangular_solve.out
+      *
+      * This function returns an expression of the inverse-multiply and can works in-place if it is assigned
+      * to the same matrix or vector \a other.
+      *
+      * For users coming from BLAS, this function (and more specifically solveInPlace()) offer
+      * all the operations supported by the \c *TRSV and \c *TRSM BLAS routines.
+      *
+      * \sa TriangularView::solveInPlace()
+      */
+    template<int Side, typename Other>
+    EIGEN_DEVICE_FUNC
+    inline const internal::triangular_solve_retval<Side,TriangularViewType, Other>
+    solve(const MatrixBase<Other>& other) const;
+
+    /** "in-place" version of TriangularView::solve() where the result is written in \a other
+      *
+      * \warning The parameter is only marked 'const' to make the C++ compiler accept a temporary expression here.
+      * This function will const_cast it, so constness isn't honored here.
+      *
+      * Note that the template parameter \c Side can be ommitted, in which case \c Side==OnTheLeft
+      *
+      * See TriangularView:solve() for the details.
+      */
+    template<int Side, typename OtherDerived>
+    EIGEN_DEVICE_FUNC
+    void solveInPlace(const MatrixBase<OtherDerived>& other) const;
+
+    template<typename OtherDerived>
+    EIGEN_DEVICE_FUNC
+    void solveInPlace(const MatrixBase<OtherDerived>& other) const
+    { return solveInPlace<OnTheLeft>(other); }
+
+    /** Swaps the coefficients of the common triangular parts of two matrices */
+    template<typename OtherDerived>
+    EIGEN_DEVICE_FUNC
+#ifdef EIGEN_PARSED_BY_DOXYGEN
+    void swap(TriangularBase<OtherDerived> &other)
+#else
+    void swap(TriangularBase<OtherDerived> const & other)
+#endif
+    {
+      EIGEN_STATIC_ASSERT_LVALUE(OtherDerived);
+      call_assignment(derived(), other.const_cast_derived(), internal::swap_assign_op<Scalar>());
+    }
+
+    /** \deprecated
+      * Shortcut for \code (*this).swap(other.triangularView<(*this)::Mode>()) \endcode */
+    template<typename OtherDerived>
+    EIGEN_DEVICE_FUNC
+    void swap(MatrixBase<OtherDerived> const & other)
+    {
+      EIGEN_STATIC_ASSERT_LVALUE(OtherDerived);
+      call_assignment(derived(), other.const_cast_derived(), internal::swap_assign_op<Scalar>());
+    }
+
+    template<typename RhsType, typename DstType>
+    EIGEN_DEVICE_FUNC
+    EIGEN_STRONG_INLINE void _solve_impl(const RhsType &rhs, DstType &dst) const {
+      if(!internal::is_same_dense(dst,rhs))
+        dst = rhs;
+      this->solveInPlace(dst);
+    }
+
+    template<typename ProductType>
+    EIGEN_DEVICE_FUNC
+    EIGEN_STRONG_INLINE TriangularViewType& _assignProduct(const ProductType& prod, const Scalar& alpha, bool beta);
+  protected:
+    EIGEN_DEFAULT_COPY_CONSTRUCTOR(TriangularViewImpl)
+    EIGEN_DEFAULT_EMPTY_CONSTRUCTOR_AND_DESTRUCTOR(TriangularViewImpl)
+
+};
+
+/***************************************************************************
+* Implementation of triangular evaluation/assignment
+***************************************************************************/
+
+#ifndef EIGEN_PARSED_BY_DOXYGEN
+// FIXME should we keep that possibility
+template<typename MatrixType, unsigned int Mode>
+template<typename OtherDerived>
+inline TriangularView<MatrixType, Mode>&
+TriangularViewImpl<MatrixType, Mode, Dense>::operator=(const MatrixBase<OtherDerived>& other)
+{
+  internal::call_assignment_no_alias(derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
+  return derived();
+}
+
+// FIXME should we keep that possibility
+template<typename MatrixType, unsigned int Mode>
+template<typename OtherDerived>
+void TriangularViewImpl<MatrixType, Mode, Dense>::lazyAssign(const MatrixBase<OtherDerived>& other)
+{
+  internal::call_assignment_no_alias(derived(), other.template triangularView<Mode>());
+}
+
+
+
+template<typename MatrixType, unsigned int Mode>
+template<typename OtherDerived>
+inline TriangularView<MatrixType, Mode>&
+TriangularViewImpl<MatrixType, Mode, Dense>::operator=(const TriangularBase<OtherDerived>& other)
+{
+  eigen_assert(Mode == int(OtherDerived::Mode));
+  internal::call_assignment(derived(), other.derived());
+  return derived();
+}
+
+template<typename MatrixType, unsigned int Mode>
+template<typename OtherDerived>
+void TriangularViewImpl<MatrixType, Mode, Dense>::lazyAssign(const TriangularBase<OtherDerived>& other)
+{
+  eigen_assert(Mode == int(OtherDerived::Mode));
+  internal::call_assignment_no_alias(derived(), other.derived());
+}
+#endif
+
+/***************************************************************************
+* Implementation of TriangularBase methods
+***************************************************************************/
+
+/** Assigns a triangular or selfadjoint matrix to a dense matrix.
+  * If the matrix is triangular, the opposite part is set to zero. */
+template<typename Derived>
+template<typename DenseDerived>
+void TriangularBase<Derived>::evalTo(MatrixBase<DenseDerived> &other) const
+{
+  evalToLazy(other.derived());
+}
+
+/***************************************************************************
+* Implementation of TriangularView methods
+***************************************************************************/
+
+/***************************************************************************
+* Implementation of MatrixBase methods
+***************************************************************************/
+
+/**
+  * \returns an expression of a triangular view extracted from the current matrix
+  *
+  * The parameter \a Mode can have the following values: \c #Upper, \c #StrictlyUpper, \c #UnitUpper,
+  * \c #Lower, \c #StrictlyLower, \c #UnitLower.
+  *
+  * Example: \include MatrixBase_triangularView.cpp
+  * Output: \verbinclude MatrixBase_triangularView.out
+  *
+  * \sa class TriangularView
+  */
+template<typename Derived>
+template<unsigned int Mode>
+typename MatrixBase<Derived>::template TriangularViewReturnType<Mode>::Type
+MatrixBase<Derived>::triangularView()
+{
+  return typename TriangularViewReturnType<Mode>::Type(derived());
+}
+
+/** This is the const version of MatrixBase::triangularView() */
+template<typename Derived>
+template<unsigned int Mode>
+typename MatrixBase<Derived>::template ConstTriangularViewReturnType<Mode>::Type
+MatrixBase<Derived>::triangularView() const
+{
+  return typename ConstTriangularViewReturnType<Mode>::Type(derived());
+}
+
+/** \returns true if *this is approximately equal to an upper triangular matrix,
+  *          within the precision given by \a prec.
+  *
+  * \sa isLowerTriangular()
+  */
+template<typename Derived>
+bool MatrixBase<Derived>::isUpperTriangular(const RealScalar& prec) const
+{
+  RealScalar maxAbsOnUpperPart = static_cast<RealScalar>(-1);
+  for(Index j = 0; j < cols(); ++j)
+  {
+    Index maxi = numext::mini(j, rows()-1);
+    for(Index i = 0; i <= maxi; ++i)
+    {
+      RealScalar absValue = numext::abs(coeff(i,j));
+      if(absValue > maxAbsOnUpperPart) maxAbsOnUpperPart = absValue;
+    }
+  }
+  RealScalar threshold = maxAbsOnUpperPart * prec;
+  for(Index j = 0; j < cols(); ++j)
+    for(Index i = j+1; i < rows(); ++i)
+      if(numext::abs(coeff(i, j)) > threshold) return false;
+  return true;
+}
+
+/** \returns true if *this is approximately equal to a lower triangular matrix,
+  *          within the precision given by \a prec.
+  *
+  * \sa isUpperTriangular()
+  */
+template<typename Derived>
+bool MatrixBase<Derived>::isLowerTriangular(const RealScalar& prec) const
+{
+  RealScalar maxAbsOnLowerPart = static_cast<RealScalar>(-1);
+  for(Index j = 0; j < cols(); ++j)
+    for(Index i = j; i < rows(); ++i)
+    {
+      RealScalar absValue = numext::abs(coeff(i,j));
+      if(absValue > maxAbsOnLowerPart) maxAbsOnLowerPart = absValue;
+    }
+  RealScalar threshold = maxAbsOnLowerPart * prec;
+  for(Index j = 1; j < cols(); ++j)
+  {
+    Index maxi = numext::mini(j, rows()-1);
+    for(Index i = 0; i < maxi; ++i)
+      if(numext::abs(coeff(i, j)) > threshold) return false;
+  }
+  return true;
+}
+
+
+/***************************************************************************
+****************************************************************************
+* Evaluators and Assignment of triangular expressions
+***************************************************************************
+***************************************************************************/
+
+namespace internal {
+
+  
+// TODO currently a triangular expression has the form TriangularView<.,.>
+//      in the future triangular-ness should be defined by the expression traits
+//      such that Transpose<TriangularView<.,.> > is valid. (currently TriangularBase::transpose() is overloaded to make it work)
+template<typename MatrixType, unsigned int Mode>
+struct evaluator_traits<TriangularView<MatrixType,Mode> >
+{
+  typedef typename storage_kind_to_evaluator_kind<typename MatrixType::StorageKind>::Kind Kind;
+  typedef typename glue_shapes<typename evaluator_traits<MatrixType>::Shape, TriangularShape>::type Shape;
+};
+
+template<typename MatrixType, unsigned int Mode>
+struct unary_evaluator<TriangularView<MatrixType,Mode>, IndexBased>
+ : evaluator<typename internal::remove_all<MatrixType>::type>
+{
+  typedef TriangularView<MatrixType,Mode> XprType;
+  typedef evaluator<typename internal::remove_all<MatrixType>::type> Base;
+  unary_evaluator(const XprType &xpr) : Base(xpr.nestedExpression()) {}
+};
+
+// Additional assignment kinds:
+struct Triangular2Triangular    {};
+struct Triangular2Dense         {};
+struct Dense2Triangular         {};
+
+
+template<typename Kernel, unsigned int Mode, int UnrollCount, bool ClearOpposite> struct triangular_assignment_loop;
+
+ 
+/** \internal Specialization of the dense assignment kernel for triangular matrices.
+  * The main difference is that the triangular, diagonal, and opposite parts are processed through three different functions.
+  * \tparam UpLo must be either Lower or Upper
+  * \tparam Mode must be either 0, UnitDiag, ZeroDiag, or SelfAdjoint
+  */
+template<int UpLo, int Mode, int SetOpposite, typename DstEvaluatorTypeT, typename SrcEvaluatorTypeT, typename Functor, int Version = Specialized>
+class triangular_dense_assignment_kernel : public generic_dense_assignment_kernel<DstEvaluatorTypeT, SrcEvaluatorTypeT, Functor, Version>
+{
+protected:
+  typedef generic_dense_assignment_kernel<DstEvaluatorTypeT, SrcEvaluatorTypeT, Functor, Version> Base;
+  typedef typename Base::DstXprType DstXprType;
+  typedef typename Base::SrcXprType SrcXprType;
+  using Base::m_dst;
+  using Base::m_src;
+  using Base::m_functor;
+public:
+  
+  typedef typename Base::DstEvaluatorType DstEvaluatorType;
+  typedef typename Base::SrcEvaluatorType SrcEvaluatorType;
+  typedef typename Base::Scalar Scalar;
+  typedef typename Base::AssignmentTraits AssignmentTraits;
+  
+  
+  EIGEN_DEVICE_FUNC triangular_dense_assignment_kernel(DstEvaluatorType &dst, const SrcEvaluatorType &src, const Functor &func, DstXprType& dstExpr)
+    : Base(dst, src, func, dstExpr)
+  {}
+  
+#ifdef EIGEN_INTERNAL_DEBUGGING
+  EIGEN_DEVICE_FUNC void assignCoeff(Index row, Index col)
+  {
+    eigen_internal_assert(row!=col);
+    Base::assignCoeff(row,col);
+  }
+#else
+  using Base::assignCoeff;
+#endif
+  
+  EIGEN_DEVICE_FUNC void assignDiagonalCoeff(Index id)
+  {
+         if(Mode==UnitDiag && SetOpposite) m_functor.assignCoeff(m_dst.coeffRef(id,id), Scalar(1));
+    else if(Mode==ZeroDiag && SetOpposite) m_functor.assignCoeff(m_dst.coeffRef(id,id), Scalar(0));
+    else if(Mode==0)                       Base::assignCoeff(id,id);
+  }
+  
+  EIGEN_DEVICE_FUNC void assignOppositeCoeff(Index row, Index col)
+  { 
+    eigen_internal_assert(row!=col);
+    if(SetOpposite)
+      m_functor.assignCoeff(m_dst.coeffRef(row,col), Scalar(0));
+  }
+};
+
+template<int Mode, bool SetOpposite, typename DstXprType, typename SrcXprType, typename Functor>
+EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE
+void call_triangular_assignment_loop(DstXprType& dst, const SrcXprType& src, const Functor &func)
+{
+  typedef evaluator<DstXprType> DstEvaluatorType;
+  typedef evaluator<SrcXprType> SrcEvaluatorType;
+
+  SrcEvaluatorType srcEvaluator(src);
+
+  Index dstRows = src.rows();
+  Index dstCols = src.cols();
+  if((dst.rows()!=dstRows) || (dst.cols()!=dstCols))
+    dst.resize(dstRows, dstCols);
+  DstEvaluatorType dstEvaluator(dst);
+    
+  typedef triangular_dense_assignment_kernel< Mode&(Lower|Upper),Mode&(UnitDiag|ZeroDiag|SelfAdjoint),SetOpposite,
+                                              DstEvaluatorType,SrcEvaluatorType,Functor> Kernel;
+  Kernel kernel(dstEvaluator, srcEvaluator, func, dst.const_cast_derived());
+  
+  enum {
+      unroll = DstXprType::SizeAtCompileTime != Dynamic
+            && SrcEvaluatorType::CoeffReadCost < HugeCost
+            && DstXprType::SizeAtCompileTime * (DstEvaluatorType::CoeffReadCost+SrcEvaluatorType::CoeffReadCost) / 2 <= EIGEN_UNROLLING_LIMIT
+    };
+  
+  triangular_assignment_loop<Kernel, Mode, unroll ? int(DstXprType::SizeAtCompileTime) : Dynamic, SetOpposite>::run(kernel);
+}
+
+template<int Mode, bool SetOpposite, typename DstXprType, typename SrcXprType>
+EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE
+void call_triangular_assignment_loop(DstXprType& dst, const SrcXprType& src)
+{
+  call_triangular_assignment_loop<Mode,SetOpposite>(dst, src, internal::assign_op<typename DstXprType::Scalar,typename SrcXprType::Scalar>());
+}
+
+template<> struct AssignmentKind<TriangularShape,TriangularShape> { typedef Triangular2Triangular Kind; };
+template<> struct AssignmentKind<DenseShape,TriangularShape>      { typedef Triangular2Dense      Kind; };
+template<> struct AssignmentKind<TriangularShape,DenseShape>      { typedef Dense2Triangular      Kind; };
+
+
+template< typename DstXprType, typename SrcXprType, typename Functor>
+struct Assignment<DstXprType, SrcXprType, Functor, Triangular2Triangular>
+{
+  EIGEN_DEVICE_FUNC static void run(DstXprType &dst, const SrcXprType &src, const Functor &func)
+  {
+    eigen_assert(int(DstXprType::Mode) == int(SrcXprType::Mode));
+    
+    call_triangular_assignment_loop<DstXprType::Mode, false>(dst, src, func);  
+  }
+};
+
+template< typename DstXprType, typename SrcXprType, typename Functor>
+struct Assignment<DstXprType, SrcXprType, Functor, Triangular2Dense>
+{
+  EIGEN_DEVICE_FUNC static void run(DstXprType &dst, const SrcXprType &src, const Functor &func)
+  {
+    call_triangular_assignment_loop<SrcXprType::Mode, (SrcXprType::Mode&SelfAdjoint)==0>(dst, src, func);  
+  }
+};
+
+template< typename DstXprType, typename SrcXprType, typename Functor>
+struct Assignment<DstXprType, SrcXprType, Functor, Dense2Triangular>
+{
+  EIGEN_DEVICE_FUNC static void run(DstXprType &dst, const SrcXprType &src, const Functor &func)
+  {
+    call_triangular_assignment_loop<DstXprType::Mode, false>(dst, src, func);  
+  }
+};
+
+
+template<typename Kernel, unsigned int Mode, int UnrollCount, bool SetOpposite>
+struct triangular_assignment_loop
+{
+  // FIXME: this is not very clean, perhaps this information should be provided by the kernel?
+  typedef typename Kernel::DstEvaluatorType DstEvaluatorType;
+  typedef typename DstEvaluatorType::XprType DstXprType;
+  
+  enum {
+    col = (UnrollCount-1) / DstXprType::RowsAtCompileTime,
+    row = (UnrollCount-1) % DstXprType::RowsAtCompileTime
+  };
+  
+  typedef typename Kernel::Scalar Scalar;
+
+  EIGEN_DEVICE_FUNC
+  static inline void run(Kernel &kernel)
+  {
+    triangular_assignment_loop<Kernel, Mode, UnrollCount-1, SetOpposite>::run(kernel);
+    
+    if(row==col)
+      kernel.assignDiagonalCoeff(row);
+    else if( ((Mode&Lower) && row>col) || ((Mode&Upper) && row<col) )
+      kernel.assignCoeff(row,col);
+    else if(SetOpposite)
+      kernel.assignOppositeCoeff(row,col);
+  }
+};
+
+// prevent buggy user code from causing an infinite recursion
+template<typename Kernel, unsigned int Mode, bool SetOpposite>
+struct triangular_assignment_loop<Kernel, Mode, 0, SetOpposite>
+{
+  EIGEN_DEVICE_FUNC
+  static inline void run(Kernel &) {}
+};
+
+
+
+// TODO: experiment with a recursive assignment procedure splitting the current
+//       triangular part into one rectangular and two triangular parts.
+
+
+template<typename Kernel, unsigned int Mode, bool SetOpposite>
+struct triangular_assignment_loop<Kernel, Mode, Dynamic, SetOpposite>
+{
+  typedef typename Kernel::Scalar Scalar;
+  EIGEN_DEVICE_FUNC
+  static inline void run(Kernel &kernel)
+  {
+    for(Index j = 0; j < kernel.cols(); ++j)
+    {
+      Index maxi = numext::mini(j, kernel.rows());
+      Index i = 0;
+      if (((Mode&Lower) && SetOpposite) || (Mode&Upper))
+      {
+        for(; i < maxi; ++i)
+          if(Mode&Upper) kernel.assignCoeff(i, j);
+          else           kernel.assignOppositeCoeff(i, j);
+      }
+      else
+        i = maxi;
+      
+      if(i<kernel.rows()) // then i==j
+        kernel.assignDiagonalCoeff(i++);
+      
+      if (((Mode&Upper) && SetOpposite) || (Mode&Lower))
+      {
+        for(; i < kernel.rows(); ++i)
+          if(Mode&Lower) kernel.assignCoeff(i, j);
+          else           kernel.assignOppositeCoeff(i, j);
+      }
+    }
+  }
+};
+
+} // end namespace internal
+
+/** Assigns a triangular or selfadjoint matrix to a dense matrix.
+  * If the matrix is triangular, the opposite part is set to zero. */
+template<typename Derived>
+template<typename DenseDerived>
+void TriangularBase<Derived>::evalToLazy(MatrixBase<DenseDerived> &other) const
+{
+  other.derived().resize(this->rows(), this->cols());
+  internal::call_triangular_assignment_loop<Derived::Mode,(Derived::Mode&SelfAdjoint)==0 /* SetOpposite */>(other.derived(), derived().nestedExpression());
+}
+
+namespace internal {
+  
+// Triangular = Product
+template< typename DstXprType, typename Lhs, typename Rhs, typename Scalar>
+struct Assignment<DstXprType, Product<Lhs,Rhs,DefaultProduct>, internal::assign_op<Scalar,typename Product<Lhs,Rhs,DefaultProduct>::Scalar>, Dense2Triangular>
+{
+  typedef Product<Lhs,Rhs,DefaultProduct> SrcXprType;
+  static void run(DstXprType &dst, const SrcXprType &src, const internal::assign_op<Scalar,typename SrcXprType::Scalar> &)
+  {
+    Index dstRows = src.rows();
+    Index dstCols = src.cols();
+    if((dst.rows()!=dstRows) || (dst.cols()!=dstCols))
+      dst.resize(dstRows, dstCols);
+
+    dst._assignProduct(src, 1, 0);
+  }
+};
+
+// Triangular += Product
+template< typename DstXprType, typename Lhs, typename Rhs, typename Scalar>
+struct Assignment<DstXprType, Product<Lhs,Rhs,DefaultProduct>, internal::add_assign_op<Scalar,typename Product<Lhs,Rhs,DefaultProduct>::Scalar>, Dense2Triangular>
+{
+  typedef Product<Lhs,Rhs,DefaultProduct> SrcXprType;
+  static void run(DstXprType &dst, const SrcXprType &src, const internal::add_assign_op<Scalar,typename SrcXprType::Scalar> &)
+  {
+    dst._assignProduct(src, 1, 1);
+  }
+};
+
+// Triangular -= Product
+template< typename DstXprType, typename Lhs, typename Rhs, typename Scalar>
+struct Assignment<DstXprType, Product<Lhs,Rhs,DefaultProduct>, internal::sub_assign_op<Scalar,typename Product<Lhs,Rhs,DefaultProduct>::Scalar>, Dense2Triangular>
+{
+  typedef Product<Lhs,Rhs,DefaultProduct> SrcXprType;
+  static void run(DstXprType &dst, const SrcXprType &src, const internal::sub_assign_op<Scalar,typename SrcXprType::Scalar> &)
+  {
+    dst._assignProduct(src, -1, 1);
+  }
+};
+
+} // end namespace internal
+
+} // end namespace Eigen
+
+#endif // EIGEN_TRIANGULARMATRIX_H
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/Visitor.h
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/Visitor.h	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/Visitor.h	(revision 3761)
@@ -0,0 +1,273 @@
+// This file is part of Eigen, a lightweight C++ template library
+// for linear algebra.
+//
+// Copyright (C) 2008 Gael Guennebaud <gael.guennebaud@inria.fr>
+//
+// This Source Code Form is subject to the terms of the Mozilla
+// Public License v. 2.0. If a copy of the MPL was not distributed
+// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
+
+#ifndef EIGEN_VISITOR_H
+#define EIGEN_VISITOR_H
+
+namespace Eigen { 
+
+namespace internal {
+
+template<typename Visitor, typename Derived, int UnrollCount>
+struct visitor_impl
+{
+  enum {
+    col = (UnrollCount-1) / Derived::RowsAtCompileTime,
+    row = (UnrollCount-1) % Derived::RowsAtCompileTime
+  };
+
+  EIGEN_DEVICE_FUNC
+  static inline void run(const Derived &mat, Visitor& visitor)
+  {
+    visitor_impl<Visitor, Derived, UnrollCount-1>::run(mat, visitor);
+    visitor(mat.coeff(row, col), row, col);
+  }
+};
+
+template<typename Visitor, typename Derived>
+struct visitor_impl<Visitor, Derived, 1>
+{
+  EIGEN_DEVICE_FUNC
+  static inline void run(const Derived &mat, Visitor& visitor)
+  {
+    return visitor.init(mat.coeff(0, 0), 0, 0);
+  }
+};
+
+template<typename Visitor, typename Derived>
+struct visitor_impl<Visitor, Derived, Dynamic>
+{
+  EIGEN_DEVICE_FUNC
+  static inline void run(const Derived& mat, Visitor& visitor)
+  {
+    visitor.init(mat.coeff(0,0), 0, 0);
+    for(Index i = 1; i < mat.rows(); ++i)
+      visitor(mat.coeff(i, 0), i, 0);
+    for(Index j = 1; j < mat.cols(); ++j)
+      for(Index i = 0; i < mat.rows(); ++i)
+        visitor(mat.coeff(i, j), i, j);
+  }
+};
+
+// evaluator adaptor
+template<typename XprType>
+class visitor_evaluator
+{
+public:
+  EIGEN_DEVICE_FUNC
+  explicit visitor_evaluator(const XprType &xpr) : m_evaluator(xpr), m_xpr(xpr) {}
+  
+  typedef typename XprType::Scalar Scalar;
+  typedef typename XprType::CoeffReturnType CoeffReturnType;
+  
+  enum {
+    RowsAtCompileTime = XprType::RowsAtCompileTime,
+    CoeffReadCost = internal::evaluator<XprType>::CoeffReadCost
+  };
+  
+  EIGEN_DEVICE_FUNC Index rows() const { return m_xpr.rows(); }
+  EIGEN_DEVICE_FUNC Index cols() const { return m_xpr.cols(); }
+  EIGEN_DEVICE_FUNC Index size() const { return m_xpr.size(); }
+
+  EIGEN_DEVICE_FUNC CoeffReturnType coeff(Index row, Index col) const
+  { return m_evaluator.coeff(row, col); }
+  
+protected:
+  internal::evaluator<XprType> m_evaluator;
+  const XprType &m_xpr;
+};
+} // end namespace internal
+
+/** Applies the visitor \a visitor to the whole coefficients of the matrix or vector.
+  *
+  * The template parameter \a Visitor is the type of the visitor and provides the following interface:
+  * \code
+  * struct MyVisitor {
+  *   // called for the first coefficient
+  *   void init(const Scalar& value, Index i, Index j);
+  *   // called for all other coefficients
+  *   void operator() (const Scalar& value, Index i, Index j);
+  * };
+  * \endcode
+  *
+  * \note compared to one or two \em for \em loops, visitors offer automatic
+  * unrolling for small fixed size matrix.
+  *
+  * \sa minCoeff(Index*,Index*), maxCoeff(Index*,Index*), DenseBase::redux()
+  */
+template<typename Derived>
+template<typename Visitor>
+EIGEN_DEVICE_FUNC
+void DenseBase<Derived>::visit(Visitor& visitor) const
+{
+  typedef typename internal::visitor_evaluator<Derived> ThisEvaluator;
+  ThisEvaluator thisEval(derived());
+  
+  enum {
+    unroll =  SizeAtCompileTime != Dynamic
+           && SizeAtCompileTime * ThisEvaluator::CoeffReadCost + (SizeAtCompileTime-1) * internal::functor_traits<Visitor>::Cost <= EIGEN_UNROLLING_LIMIT
+  };
+  return internal::visitor_impl<Visitor, ThisEvaluator, unroll ? int(SizeAtCompileTime) : Dynamic>::run(thisEval, visitor);
+}
+
+namespace internal {
+
+/** \internal
+  * \brief Base class to implement min and max visitors
+  */
+template <typename Derived>
+struct coeff_visitor
+{
+  typedef typename Derived::Scalar Scalar;
+  Index row, col;
+  Scalar res;
+  EIGEN_DEVICE_FUNC
+  inline void init(const Scalar& value, Index i, Index j)
+  {
+    res = value;
+    row = i;
+    col = j;
+  }
+};
+
+/** \internal
+  * \brief Visitor computing the min coefficient with its value and coordinates
+  *
+  * \sa DenseBase::minCoeff(Index*, Index*)
+  */
+template <typename Derived>
+struct min_coeff_visitor : coeff_visitor<Derived>
+{
+  typedef typename Derived::Scalar Scalar;
+  EIGEN_DEVICE_FUNC
+  void operator() (const Scalar& value, Index i, Index j)
+  {
+    if(value < this->res)
+    {
+      this->res = value;
+      this->row = i;
+      this->col = j;
+    }
+  }
+};
+
+template<typename Scalar>
+struct functor_traits<min_coeff_visitor<Scalar> > {
+  enum {
+    Cost = NumTraits<Scalar>::AddCost
+  };
+};
+
+/** \internal
+  * \brief Visitor computing the max coefficient with its value and coordinates
+  *
+  * \sa DenseBase::maxCoeff(Index*, Index*)
+  */
+template <typename Derived>
+struct max_coeff_visitor : coeff_visitor<Derived>
+{
+  typedef typename Derived::Scalar Scalar; 
+  EIGEN_DEVICE_FUNC
+  void operator() (const Scalar& value, Index i, Index j)
+  {
+    if(value > this->res)
+    {
+      this->res = value;
+      this->row = i;
+      this->col = j;
+    }
+  }
+};
+
+template<typename Scalar>
+struct functor_traits<max_coeff_visitor<Scalar> > {
+  enum {
+    Cost = NumTraits<Scalar>::AddCost
+  };
+};
+
+} // end namespace internal
+
+/** \fn DenseBase<Derived>::minCoeff(IndexType* rowId, IndexType* colId) const
+  * \returns the minimum of all coefficients of *this and puts in *row and *col its location.
+  * \warning the result is undefined if \c *this contains NaN.
+  *
+  * \sa DenseBase::minCoeff(Index*), DenseBase::maxCoeff(Index*,Index*), DenseBase::visit(), DenseBase::minCoeff()
+  */
+template<typename Derived>
+template<typename IndexType>
+EIGEN_DEVICE_FUNC
+typename internal::traits<Derived>::Scalar
+DenseBase<Derived>::minCoeff(IndexType* rowId, IndexType* colId) const
+{
+  internal::min_coeff_visitor<Derived> minVisitor;
+  this->visit(minVisitor);
+  *rowId = minVisitor.row;
+  if (colId) *colId = minVisitor.col;
+  return minVisitor.res;
+}
+
+/** \returns the minimum of all coefficients of *this and puts in *index its location.
+  * \warning the result is undefined if \c *this contains NaN. 
+  *
+  * \sa DenseBase::minCoeff(IndexType*,IndexType*), DenseBase::maxCoeff(IndexType*,IndexType*), DenseBase::visit(), DenseBase::minCoeff()
+  */
+template<typename Derived>
+template<typename IndexType>
+EIGEN_DEVICE_FUNC
+typename internal::traits<Derived>::Scalar
+DenseBase<Derived>::minCoeff(IndexType* index) const
+{
+  EIGEN_STATIC_ASSERT_VECTOR_ONLY(Derived)
+  internal::min_coeff_visitor<Derived> minVisitor;
+  this->visit(minVisitor);
+  *index = IndexType((RowsAtCompileTime==1) ? minVisitor.col : minVisitor.row);
+  return minVisitor.res;
+}
+
+/** \fn DenseBase<Derived>::maxCoeff(IndexType* rowId, IndexType* colId) const
+  * \returns the maximum of all coefficients of *this and puts in *row and *col its location.
+  * \warning the result is undefined if \c *this contains NaN. 
+  *
+  * \sa DenseBase::minCoeff(IndexType*,IndexType*), DenseBase::visit(), DenseBase::maxCoeff()
+  */
+template<typename Derived>
+template<typename IndexType>
+EIGEN_DEVICE_FUNC
+typename internal::traits<Derived>::Scalar
+DenseBase<Derived>::maxCoeff(IndexType* rowPtr, IndexType* colPtr) const
+{
+  internal::max_coeff_visitor<Derived> maxVisitor;
+  this->visit(maxVisitor);
+  *rowPtr = maxVisitor.row;
+  if (colPtr) *colPtr = maxVisitor.col;
+  return maxVisitor.res;
+}
+
+/** \returns the maximum of all coefficients of *this and puts in *index its location.
+  * \warning the result is undefined if \c *this contains NaN.
+  *
+  * \sa DenseBase::maxCoeff(IndexType*,IndexType*), DenseBase::minCoeff(IndexType*,IndexType*), DenseBase::visitor(), DenseBase::maxCoeff()
+  */
+template<typename Derived>
+template<typename IndexType>
+EIGEN_DEVICE_FUNC
+typename internal::traits<Derived>::Scalar
+DenseBase<Derived>::maxCoeff(IndexType* index) const
+{
+  EIGEN_STATIC_ASSERT_VECTOR_ONLY(Derived)
+  internal::max_coeff_visitor<Derived> maxVisitor;
+  this->visit(maxVisitor);
+  *index = (RowsAtCompileTime==1) ? maxVisitor.col : maxVisitor.row;
+  return maxVisitor.res;
+}
+
+} // end namespace Eigen
+
+#endif // EIGEN_VISITOR_H
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/CommaInitializer.h
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/CommaInitializer.h	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/CommaInitializer.h	(revision 3761)
@@ -0,0 +1,160 @@
+// This file is part of Eigen, a lightweight C++ template library
+// for linear algebra.
+//
+// Copyright (C) 2008 Gael Guennebaud <gael.guennebaud@inria.fr>
+// Copyright (C) 2006-2008 Benoit Jacob <jacob.benoit.1@gmail.com>
+//
+// This Source Code Form is subject to the terms of the Mozilla
+// Public License v. 2.0. If a copy of the MPL was not distributed
+// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
+
+#ifndef EIGEN_COMMAINITIALIZER_H
+#define EIGEN_COMMAINITIALIZER_H
+
+namespace Eigen { 
+
+/** \class CommaInitializer
+  * \ingroup Core_Module
+  *
+  * \brief Helper class used by the comma initializer operator
+  *
+  * This class is internally used to implement the comma initializer feature. It is
+  * the return type of MatrixBase::operator<<, and most of the time this is the only
+  * way it is used.
+  *
+  * \sa \blank \ref MatrixBaseCommaInitRef "MatrixBase::operator<<", CommaInitializer::finished()
+  */
+template<typename XprType>
+struct CommaInitializer
+{
+  typedef typename XprType::Scalar Scalar;
+
+  EIGEN_DEVICE_FUNC
+  inline CommaInitializer(XprType& xpr, const Scalar& s)
+    : m_xpr(xpr), m_row(0), m_col(1), m_currentBlockRows(1)
+  {
+    m_xpr.coeffRef(0,0) = s;
+  }
+
+  template<typename OtherDerived>
+  EIGEN_DEVICE_FUNC
+  inline CommaInitializer(XprType& xpr, const DenseBase<OtherDerived>& other)
+    : m_xpr(xpr), m_row(0), m_col(other.cols()), m_currentBlockRows(other.rows())
+  {
+    m_xpr.block(0, 0, other.rows(), other.cols()) = other;
+  }
+
+  /* Copy/Move constructor which transfers ownership. This is crucial in 
+   * absence of return value optimization to avoid assertions during destruction. */
+  // FIXME in C++11 mode this could be replaced by a proper RValue constructor
+  EIGEN_DEVICE_FUNC
+  inline CommaInitializer(const CommaInitializer& o)
+  : m_xpr(o.m_xpr), m_row(o.m_row), m_col(o.m_col), m_currentBlockRows(o.m_currentBlockRows) {
+    // Mark original object as finished. In absence of R-value references we need to const_cast:
+    const_cast<CommaInitializer&>(o).m_row = m_xpr.rows();
+    const_cast<CommaInitializer&>(o).m_col = m_xpr.cols();
+    const_cast<CommaInitializer&>(o).m_currentBlockRows = 0;
+  }
+
+  /* inserts a scalar value in the target matrix */
+  EIGEN_DEVICE_FUNC
+  CommaInitializer& operator,(const Scalar& s)
+  {
+    if (m_col==m_xpr.cols())
+    {
+      m_row+=m_currentBlockRows;
+      m_col = 0;
+      m_currentBlockRows = 1;
+      eigen_assert(m_row<m_xpr.rows()
+        && "Too many rows passed to comma initializer (operator<<)");
+    }
+    eigen_assert(m_col<m_xpr.cols()
+      && "Too many coefficients passed to comma initializer (operator<<)");
+    eigen_assert(m_currentBlockRows==1);
+    m_xpr.coeffRef(m_row, m_col++) = s;
+    return *this;
+  }
+
+  /* inserts a matrix expression in the target matrix */
+  template<typename OtherDerived>
+  EIGEN_DEVICE_FUNC
+  CommaInitializer& operator,(const DenseBase<OtherDerived>& other)
+  {
+    if (m_col==m_xpr.cols() && (other.cols()!=0 || other.rows()!=m_currentBlockRows))
+    {
+      m_row+=m_currentBlockRows;
+      m_col = 0;
+      m_currentBlockRows = other.rows();
+      eigen_assert(m_row+m_currentBlockRows<=m_xpr.rows()
+        && "Too many rows passed to comma initializer (operator<<)");
+    }
+    eigen_assert((m_col + other.cols() <= m_xpr.cols())
+      && "Too many coefficients passed to comma initializer (operator<<)");
+    eigen_assert(m_currentBlockRows==other.rows());
+    m_xpr.template block<OtherDerived::RowsAtCompileTime, OtherDerived::ColsAtCompileTime>
+                    (m_row, m_col, other.rows(), other.cols()) = other;
+    m_col += other.cols();
+    return *this;
+  }
+
+  EIGEN_DEVICE_FUNC
+  inline ~CommaInitializer()
+#if defined VERIFY_RAISES_ASSERT && (!defined EIGEN_NO_ASSERTION_CHECKING) && defined EIGEN_EXCEPTIONS
+  EIGEN_EXCEPTION_SPEC(Eigen::eigen_assert_exception)
+#endif
+  {
+      finished();
+  }
+
+  /** \returns the built matrix once all its coefficients have been set.
+    * Calling finished is 100% optional. Its purpose is to write expressions
+    * like this:
+    * \code
+    * quaternion.fromRotationMatrix((Matrix3f() << axis0, axis1, axis2).finished());
+    * \endcode
+    */
+  EIGEN_DEVICE_FUNC
+  inline XprType& finished() {
+      eigen_assert(((m_row+m_currentBlockRows) == m_xpr.rows() || m_xpr.cols() == 0)
+           && m_col == m_xpr.cols()
+           && "Too few coefficients passed to comma initializer (operator<<)");
+      return m_xpr;
+  }
+
+  XprType& m_xpr;           // target expression
+  Index m_row;              // current row id
+  Index m_col;              // current col id
+  Index m_currentBlockRows; // current block height
+};
+
+/** \anchor MatrixBaseCommaInitRef
+  * Convenient operator to set the coefficients of a matrix.
+  *
+  * The coefficients must be provided in a row major order and exactly match
+  * the size of the matrix. Otherwise an assertion is raised.
+  *
+  * Example: \include MatrixBase_set.cpp
+  * Output: \verbinclude MatrixBase_set.out
+  * 
+  * \note According the c++ standard, the argument expressions of this comma initializer are evaluated in arbitrary order.
+  *
+  * \sa CommaInitializer::finished(), class CommaInitializer
+  */
+template<typename Derived>
+inline CommaInitializer<Derived> DenseBase<Derived>::operator<< (const Scalar& s)
+{
+  return CommaInitializer<Derived>(*static_cast<Derived*>(this), s);
+}
+
+/** \sa operator<<(const Scalar&) */
+template<typename Derived>
+template<typename OtherDerived>
+inline CommaInitializer<Derived>
+DenseBase<Derived>::operator<<(const DenseBase<OtherDerived>& other)
+{
+  return CommaInitializer<Derived>(*static_cast<Derived *>(this), other);
+}
+
+} // end namespace Eigen
+
+#endif // EIGEN_COMMAINITIALIZER_H
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/DiagonalMatrix.h
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/DiagonalMatrix.h	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/DiagonalMatrix.h	(revision 3761)
@@ -0,0 +1,343 @@
+// This file is part of Eigen, a lightweight C++ template library
+// for linear algebra.
+//
+// Copyright (C) 2009 Gael Guennebaud <gael.guennebaud@inria.fr>
+// Copyright (C) 2007-2009 Benoit Jacob <jacob.benoit.1@gmail.com>
+//
+// This Source Code Form is subject to the terms of the Mozilla
+// Public License v. 2.0. If a copy of the MPL was not distributed
+// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
+
+#ifndef EIGEN_DIAGONALMATRIX_H
+#define EIGEN_DIAGONALMATRIX_H
+
+namespace Eigen { 
+
+#ifndef EIGEN_PARSED_BY_DOXYGEN
+template<typename Derived>
+class DiagonalBase : public EigenBase<Derived>
+{
+  public:
+    typedef typename internal::traits<Derived>::DiagonalVectorType DiagonalVectorType;
+    typedef typename DiagonalVectorType::Scalar Scalar;
+    typedef typename DiagonalVectorType::RealScalar RealScalar;
+    typedef typename internal::traits<Derived>::StorageKind StorageKind;
+    typedef typename internal::traits<Derived>::StorageIndex StorageIndex;
+
+    enum {
+      RowsAtCompileTime = DiagonalVectorType::SizeAtCompileTime,
+      ColsAtCompileTime = DiagonalVectorType::SizeAtCompileTime,
+      MaxRowsAtCompileTime = DiagonalVectorType::MaxSizeAtCompileTime,
+      MaxColsAtCompileTime = DiagonalVectorType::MaxSizeAtCompileTime,
+      IsVectorAtCompileTime = 0,
+      Flags = NoPreferredStorageOrderBit
+    };
+
+    typedef Matrix<Scalar, RowsAtCompileTime, ColsAtCompileTime, 0, MaxRowsAtCompileTime, MaxColsAtCompileTime> DenseMatrixType;
+    typedef DenseMatrixType DenseType;
+    typedef DiagonalMatrix<Scalar,DiagonalVectorType::SizeAtCompileTime,DiagonalVectorType::MaxSizeAtCompileTime> PlainObject;
+
+    EIGEN_DEVICE_FUNC
+    inline const Derived& derived() const { return *static_cast<const Derived*>(this); }
+    EIGEN_DEVICE_FUNC
+    inline Derived& derived() { return *static_cast<Derived*>(this); }
+
+    EIGEN_DEVICE_FUNC
+    DenseMatrixType toDenseMatrix() const { return derived(); }
+    
+    EIGEN_DEVICE_FUNC
+    inline const DiagonalVectorType& diagonal() const { return derived().diagonal(); }
+    EIGEN_DEVICE_FUNC
+    inline DiagonalVectorType& diagonal() { return derived().diagonal(); }
+
+    EIGEN_DEVICE_FUNC
+    inline Index rows() const { return diagonal().size(); }
+    EIGEN_DEVICE_FUNC
+    inline Index cols() const { return diagonal().size(); }
+
+    template<typename MatrixDerived>
+    EIGEN_DEVICE_FUNC
+    const Product<Derived,MatrixDerived,LazyProduct>
+    operator*(const MatrixBase<MatrixDerived> &matrix) const
+    {
+      return Product<Derived, MatrixDerived, LazyProduct>(derived(),matrix.derived());
+    }
+
+    typedef DiagonalWrapper<const CwiseUnaryOp<internal::scalar_inverse_op<Scalar>, const DiagonalVectorType> > InverseReturnType;
+    EIGEN_DEVICE_FUNC
+    inline const InverseReturnType
+    inverse() const
+    {
+      return InverseReturnType(diagonal().cwiseInverse());
+    }
+    
+    EIGEN_DEVICE_FUNC
+    inline const DiagonalWrapper<const EIGEN_EXPR_BINARYOP_SCALAR_RETURN_TYPE(DiagonalVectorType,Scalar,product) >
+    operator*(const Scalar& scalar) const
+    {
+      return DiagonalWrapper<const EIGEN_EXPR_BINARYOP_SCALAR_RETURN_TYPE(DiagonalVectorType,Scalar,product) >(diagonal() * scalar);
+    }
+    EIGEN_DEVICE_FUNC
+    friend inline const DiagonalWrapper<const EIGEN_SCALAR_BINARYOP_EXPR_RETURN_TYPE(Scalar,DiagonalVectorType,product) >
+    operator*(const Scalar& scalar, const DiagonalBase& other)
+    {
+      return DiagonalWrapper<const EIGEN_SCALAR_BINARYOP_EXPR_RETURN_TYPE(Scalar,DiagonalVectorType,product) >(scalar * other.diagonal());
+    }
+};
+
+#endif
+
+/** \class DiagonalMatrix
+  * \ingroup Core_Module
+  *
+  * \brief Represents a diagonal matrix with its storage
+  *
+  * \param _Scalar the type of coefficients
+  * \param SizeAtCompileTime the dimension of the matrix, or Dynamic
+  * \param MaxSizeAtCompileTime the dimension of the matrix, or Dynamic. This parameter is optional and defaults
+  *        to SizeAtCompileTime. Most of the time, you do not need to specify it.
+  *
+  * \sa class DiagonalWrapper
+  */
+
+namespace internal {
+template<typename _Scalar, int SizeAtCompileTime, int MaxSizeAtCompileTime>
+struct traits<DiagonalMatrix<_Scalar,SizeAtCompileTime,MaxSizeAtCompileTime> >
+ : traits<Matrix<_Scalar,SizeAtCompileTime,SizeAtCompileTime,0,MaxSizeAtCompileTime,MaxSizeAtCompileTime> >
+{
+  typedef Matrix<_Scalar,SizeAtCompileTime,1,0,MaxSizeAtCompileTime,1> DiagonalVectorType;
+  typedef DiagonalShape StorageKind;
+  enum {
+    Flags = LvalueBit | NoPreferredStorageOrderBit
+  };
+};
+}
+template<typename _Scalar, int SizeAtCompileTime, int MaxSizeAtCompileTime>
+class DiagonalMatrix
+  : public DiagonalBase<DiagonalMatrix<_Scalar,SizeAtCompileTime,MaxSizeAtCompileTime> >
+{
+  public:
+    #ifndef EIGEN_PARSED_BY_DOXYGEN
+    typedef typename internal::traits<DiagonalMatrix>::DiagonalVectorType DiagonalVectorType;
+    typedef const DiagonalMatrix& Nested;
+    typedef _Scalar Scalar;
+    typedef typename internal::traits<DiagonalMatrix>::StorageKind StorageKind;
+    typedef typename internal::traits<DiagonalMatrix>::StorageIndex StorageIndex;
+    #endif
+
+  protected:
+
+    DiagonalVectorType m_diagonal;
+
+  public:
+
+    /** const version of diagonal(). */
+    EIGEN_DEVICE_FUNC
+    inline const DiagonalVectorType& diagonal() const { return m_diagonal; }
+    /** \returns a reference to the stored vector of diagonal coefficients. */
+    EIGEN_DEVICE_FUNC
+    inline DiagonalVectorType& diagonal() { return m_diagonal; }
+
+    /** Default constructor without initialization */
+    EIGEN_DEVICE_FUNC
+    inline DiagonalMatrix() {}
+
+    /** Constructs a diagonal matrix with given dimension  */
+    EIGEN_DEVICE_FUNC
+    explicit inline DiagonalMatrix(Index dim) : m_diagonal(dim) {}
+
+    /** 2D constructor. */
+    EIGEN_DEVICE_FUNC
+    inline DiagonalMatrix(const Scalar& x, const Scalar& y) : m_diagonal(x,y) {}
+
+    /** 3D constructor. */
+    EIGEN_DEVICE_FUNC
+    inline DiagonalMatrix(const Scalar& x, const Scalar& y, const Scalar& z) : m_diagonal(x,y,z) {}
+
+    /** Copy constructor. */
+    template<typename OtherDerived>
+    EIGEN_DEVICE_FUNC
+    inline DiagonalMatrix(const DiagonalBase<OtherDerived>& other) : m_diagonal(other.diagonal()) {}
+
+    #ifndef EIGEN_PARSED_BY_DOXYGEN
+    /** copy constructor. prevent a default copy constructor from hiding the other templated constructor */
+    inline DiagonalMatrix(const DiagonalMatrix& other) : m_diagonal(other.diagonal()) {}
+    #endif
+
+    /** generic constructor from expression of the diagonal coefficients */
+    template<typename OtherDerived>
+    EIGEN_DEVICE_FUNC
+    explicit inline DiagonalMatrix(const MatrixBase<OtherDerived>& other) : m_diagonal(other)
+    {}
+
+    /** Copy operator. */
+    template<typename OtherDerived>
+    EIGEN_DEVICE_FUNC
+    DiagonalMatrix& operator=(const DiagonalBase<OtherDerived>& other)
+    {
+      m_diagonal = other.diagonal();
+      return *this;
+    }
+
+    #ifndef EIGEN_PARSED_BY_DOXYGEN
+    /** This is a special case of the templated operator=. Its purpose is to
+      * prevent a default operator= from hiding the templated operator=.
+      */
+    EIGEN_DEVICE_FUNC
+    DiagonalMatrix& operator=(const DiagonalMatrix& other)
+    {
+      m_diagonal = other.diagonal();
+      return *this;
+    }
+    #endif
+
+    /** Resizes to given size. */
+    EIGEN_DEVICE_FUNC
+    inline void resize(Index size) { m_diagonal.resize(size); }
+    /** Sets all coefficients to zero. */
+    EIGEN_DEVICE_FUNC
+    inline void setZero() { m_diagonal.setZero(); }
+    /** Resizes and sets all coefficients to zero. */
+    EIGEN_DEVICE_FUNC
+    inline void setZero(Index size) { m_diagonal.setZero(size); }
+    /** Sets this matrix to be the identity matrix of the current size. */
+    EIGEN_DEVICE_FUNC
+    inline void setIdentity() { m_diagonal.setOnes(); }
+    /** Sets this matrix to be the identity matrix of the given size. */
+    EIGEN_DEVICE_FUNC
+    inline void setIdentity(Index size) { m_diagonal.setOnes(size); }
+};
+
+/** \class DiagonalWrapper
+  * \ingroup Core_Module
+  *
+  * \brief Expression of a diagonal matrix
+  *
+  * \param _DiagonalVectorType the type of the vector of diagonal coefficients
+  *
+  * This class is an expression of a diagonal matrix, but not storing its own vector of diagonal coefficients,
+  * instead wrapping an existing vector expression. It is the return type of MatrixBase::asDiagonal()
+  * and most of the time this is the only way that it is used.
+  *
+  * \sa class DiagonalMatrix, class DiagonalBase, MatrixBase::asDiagonal()
+  */
+
+namespace internal {
+template<typename _DiagonalVectorType>
+struct traits<DiagonalWrapper<_DiagonalVectorType> >
+{
+  typedef _DiagonalVectorType DiagonalVectorType;
+  typedef typename DiagonalVectorType::Scalar Scalar;
+  typedef typename DiagonalVectorType::StorageIndex StorageIndex;
+  typedef DiagonalShape StorageKind;
+  typedef typename traits<DiagonalVectorType>::XprKind XprKind;
+  enum {
+    RowsAtCompileTime = DiagonalVectorType::SizeAtCompileTime,
+    ColsAtCompileTime = DiagonalVectorType::SizeAtCompileTime,
+    MaxRowsAtCompileTime = DiagonalVectorType::MaxSizeAtCompileTime,
+    MaxColsAtCompileTime = DiagonalVectorType::MaxSizeAtCompileTime,
+    Flags =  (traits<DiagonalVectorType>::Flags & LvalueBit) | NoPreferredStorageOrderBit
+  };
+};
+}
+
+template<typename _DiagonalVectorType>
+class DiagonalWrapper
+  : public DiagonalBase<DiagonalWrapper<_DiagonalVectorType> >, internal::no_assignment_operator
+{
+  public:
+    #ifndef EIGEN_PARSED_BY_DOXYGEN
+    typedef _DiagonalVectorType DiagonalVectorType;
+    typedef DiagonalWrapper Nested;
+    #endif
+
+    /** Constructor from expression of diagonal coefficients to wrap. */
+    EIGEN_DEVICE_FUNC
+    explicit inline DiagonalWrapper(DiagonalVectorType& a_diagonal) : m_diagonal(a_diagonal) {}
+
+    /** \returns a const reference to the wrapped expression of diagonal coefficients. */
+    EIGEN_DEVICE_FUNC
+    const DiagonalVectorType& diagonal() const { return m_diagonal; }
+
+  protected:
+    typename DiagonalVectorType::Nested m_diagonal;
+};
+
+/** \returns a pseudo-expression of a diagonal matrix with *this as vector of diagonal coefficients
+  *
+  * \only_for_vectors
+  *
+  * Example: \include MatrixBase_asDiagonal.cpp
+  * Output: \verbinclude MatrixBase_asDiagonal.out
+  *
+  * \sa class DiagonalWrapper, class DiagonalMatrix, diagonal(), isDiagonal()
+  **/
+template<typename Derived>
+inline const DiagonalWrapper<const Derived>
+MatrixBase<Derived>::asDiagonal() const
+{
+  return DiagonalWrapper<const Derived>(derived());
+}
+
+/** \returns true if *this is approximately equal to a diagonal matrix,
+  *          within the precision given by \a prec.
+  *
+  * Example: \include MatrixBase_isDiagonal.cpp
+  * Output: \verbinclude MatrixBase_isDiagonal.out
+  *
+  * \sa asDiagonal()
+  */
+template<typename Derived>
+bool MatrixBase<Derived>::isDiagonal(const RealScalar& prec) const
+{
+  if(cols() != rows()) return false;
+  RealScalar maxAbsOnDiagonal = static_cast<RealScalar>(-1);
+  for(Index j = 0; j < cols(); ++j)
+  {
+    RealScalar absOnDiagonal = numext::abs(coeff(j,j));
+    if(absOnDiagonal > maxAbsOnDiagonal) maxAbsOnDiagonal = absOnDiagonal;
+  }
+  for(Index j = 0; j < cols(); ++j)
+    for(Index i = 0; i < j; ++i)
+    {
+      if(!internal::isMuchSmallerThan(coeff(i, j), maxAbsOnDiagonal, prec)) return false;
+      if(!internal::isMuchSmallerThan(coeff(j, i), maxAbsOnDiagonal, prec)) return false;
+    }
+  return true;
+}
+
+namespace internal {
+
+template<> struct storage_kind_to_shape<DiagonalShape> { typedef DiagonalShape Shape; };
+
+struct Diagonal2Dense {};
+
+template<> struct AssignmentKind<DenseShape,DiagonalShape> { typedef Diagonal2Dense Kind; };
+
+// Diagonal matrix to Dense assignment
+template< typename DstXprType, typename SrcXprType, typename Functor>
+struct Assignment<DstXprType, SrcXprType, Functor, Diagonal2Dense>
+{
+  static void run(DstXprType &dst, const SrcXprType &src, const internal::assign_op<typename DstXprType::Scalar,typename SrcXprType::Scalar> &/*func*/)
+  {
+    Index dstRows = src.rows();
+    Index dstCols = src.cols();
+    if((dst.rows()!=dstRows) || (dst.cols()!=dstCols))
+      dst.resize(dstRows, dstCols);
+    
+    dst.setZero();
+    dst.diagonal() = src.diagonal();
+  }
+  
+  static void run(DstXprType &dst, const SrcXprType &src, const internal::add_assign_op<typename DstXprType::Scalar,typename SrcXprType::Scalar> &/*func*/)
+  { dst.diagonal() += src.diagonal(); }
+  
+  static void run(DstXprType &dst, const SrcXprType &src, const internal::sub_assign_op<typename DstXprType::Scalar,typename SrcXprType::Scalar> &/*func*/)
+  { dst.diagonal() -= src.diagonal(); }
+};
+
+} // namespace internal
+
+} // end namespace Eigen
+
+#endif // EIGEN_DIAGONALMATRIX_H
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/StableNorm.h
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/StableNorm.h	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/StableNorm.h	(revision 3761)
@@ -0,0 +1,221 @@
+// This file is part of Eigen, a lightweight C++ template library
+// for linear algebra.
+//
+// Copyright (C) 2009 Gael Guennebaud <gael.guennebaud@inria.fr>
+//
+// This Source Code Form is subject to the terms of the Mozilla
+// Public License v. 2.0. If a copy of the MPL was not distributed
+// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
+
+#ifndef EIGEN_STABLENORM_H
+#define EIGEN_STABLENORM_H
+
+namespace Eigen { 
+
+namespace internal {
+
+template<typename ExpressionType, typename Scalar>
+inline void stable_norm_kernel(const ExpressionType& bl, Scalar& ssq, Scalar& scale, Scalar& invScale)
+{
+  Scalar maxCoeff = bl.cwiseAbs().maxCoeff();
+  
+  if(maxCoeff>scale)
+  {
+    ssq = ssq * numext::abs2(scale/maxCoeff);
+    Scalar tmp = Scalar(1)/maxCoeff;
+    if(tmp > NumTraits<Scalar>::highest())
+    {
+      invScale = NumTraits<Scalar>::highest();
+      scale = Scalar(1)/invScale;
+    }
+    else if(maxCoeff>NumTraits<Scalar>::highest()) // we got a INF
+    {
+      invScale = Scalar(1);
+      scale = maxCoeff;
+    }
+    else
+    {
+      scale = maxCoeff;
+      invScale = tmp;
+    }
+  }
+  else if(maxCoeff!=maxCoeff) // we got a NaN
+  {
+    scale = maxCoeff;
+  }
+  
+  // TODO if the maxCoeff is much much smaller than the current scale,
+  // then we can neglect this sub vector
+  if(scale>Scalar(0)) // if scale==0, then bl is 0 
+    ssq += (bl*invScale).squaredNorm();
+}
+
+template<typename Derived>
+inline typename NumTraits<typename traits<Derived>::Scalar>::Real
+blueNorm_impl(const EigenBase<Derived>& _vec)
+{
+  typedef typename Derived::RealScalar RealScalar;  
+  using std::pow;
+  using std::sqrt;
+  using std::abs;
+  const Derived& vec(_vec.derived());
+  static bool initialized = false;
+  static RealScalar b1, b2, s1m, s2m, rbig, relerr;
+  if(!initialized)
+  {
+    int ibeta, it, iemin, iemax, iexp;
+    RealScalar eps;
+    // This program calculates the machine-dependent constants
+    // bl, b2, slm, s2m, relerr overfl
+    // from the "basic" machine-dependent numbers
+    // nbig, ibeta, it, iemin, iemax, rbig.
+    // The following define the basic machine-dependent constants.
+    // For portability, the PORT subprograms "ilmaeh" and "rlmach"
+    // are used. For any specific computer, each of the assignment
+    // statements can be replaced
+    ibeta = std::numeric_limits<RealScalar>::radix;                 // base for floating-point numbers
+    it    = std::numeric_limits<RealScalar>::digits;                // number of base-beta digits in mantissa
+    iemin = std::numeric_limits<RealScalar>::min_exponent;          // minimum exponent
+    iemax = std::numeric_limits<RealScalar>::max_exponent;          // maximum exponent
+    rbig  = (std::numeric_limits<RealScalar>::max)();               // largest floating-point number
+
+    iexp  = -((1-iemin)/2);
+    b1    = RealScalar(pow(RealScalar(ibeta),RealScalar(iexp)));    // lower boundary of midrange
+    iexp  = (iemax + 1 - it)/2;
+    b2    = RealScalar(pow(RealScalar(ibeta),RealScalar(iexp)));    // upper boundary of midrange
+
+    iexp  = (2-iemin)/2;
+    s1m   = RealScalar(pow(RealScalar(ibeta),RealScalar(iexp)));    // scaling factor for lower range
+    iexp  = - ((iemax+it)/2);
+    s2m   = RealScalar(pow(RealScalar(ibeta),RealScalar(iexp)));    // scaling factor for upper range
+
+    eps     = RealScalar(pow(double(ibeta), 1-it));
+    relerr  = sqrt(eps);                                            // tolerance for neglecting asml
+    initialized = true;
+  }
+  Index n = vec.size();
+  RealScalar ab2 = b2 / RealScalar(n);
+  RealScalar asml = RealScalar(0);
+  RealScalar amed = RealScalar(0);
+  RealScalar abig = RealScalar(0);
+  for(typename Derived::InnerIterator it(vec, 0); it; ++it)
+  {
+    RealScalar ax = abs(it.value());
+    if(ax > ab2)     abig += numext::abs2(ax*s2m);
+    else if(ax < b1) asml += numext::abs2(ax*s1m);
+    else             amed += numext::abs2(ax);
+  }
+  if(amed!=amed)
+    return amed;  // we got a NaN
+  if(abig > RealScalar(0))
+  {
+    abig = sqrt(abig);
+    if(abig > rbig) // overflow, or *this contains INF values
+      return abig;  // return INF
+    if(amed > RealScalar(0))
+    {
+      abig = abig/s2m;
+      amed = sqrt(amed);
+    }
+    else
+      return abig/s2m;
+  }
+  else if(asml > RealScalar(0))
+  {
+    if (amed > RealScalar(0))
+    {
+      abig = sqrt(amed);
+      amed = sqrt(asml) / s1m;
+    }
+    else
+      return sqrt(asml)/s1m;
+  }
+  else
+    return sqrt(amed);
+  asml = numext::mini(abig, amed);
+  abig = numext::maxi(abig, amed);
+  if(asml <= abig*relerr)
+    return abig;
+  else
+    return abig * sqrt(RealScalar(1) + numext::abs2(asml/abig));
+}
+
+} // end namespace internal
+
+/** \returns the \em l2 norm of \c *this avoiding underflow and overflow.
+  * This version use a blockwise two passes algorithm:
+  *  1 - find the absolute largest coefficient \c s
+  *  2 - compute \f$ s \Vert \frac{*this}{s} \Vert \f$ in a standard way
+  *
+  * For architecture/scalar types supporting vectorization, this version
+  * is faster than blueNorm(). Otherwise the blueNorm() is much faster.
+  *
+  * \sa norm(), blueNorm(), hypotNorm()
+  */
+template<typename Derived>
+inline typename NumTraits<typename internal::traits<Derived>::Scalar>::Real
+MatrixBase<Derived>::stableNorm() const
+{
+  using std::sqrt;
+  using std::abs;
+  const Index blockSize = 4096;
+  RealScalar scale(0);
+  RealScalar invScale(1);
+  RealScalar ssq(0); // sum of square
+  
+  typedef typename internal::nested_eval<Derived,2>::type DerivedCopy;
+  typedef typename internal::remove_all<DerivedCopy>::type DerivedCopyClean;
+  const DerivedCopy copy(derived());
+  
+  enum {
+    CanAlign = (   (int(DerivedCopyClean::Flags)&DirectAccessBit)
+                || (int(internal::evaluator<DerivedCopyClean>::Alignment)>0) // FIXME Alignment)>0 might not be enough
+               ) && (blockSize*sizeof(Scalar)*2<EIGEN_STACK_ALLOCATION_LIMIT)
+                 && (EIGEN_MAX_STATIC_ALIGN_BYTES>0) // if we cannot allocate on the stack, then let's not bother about this optimization
+  };
+  typedef typename internal::conditional<CanAlign, Ref<const Matrix<Scalar,Dynamic,1,0,blockSize,1>, internal::evaluator<DerivedCopyClean>::Alignment>,
+                                                   typename DerivedCopyClean::ConstSegmentReturnType>::type SegmentWrapper;
+  Index n = size();
+  
+  if(n==1)
+    return abs(this->coeff(0));
+  
+  Index bi = internal::first_default_aligned(copy);
+  if (bi>0)
+    internal::stable_norm_kernel(copy.head(bi), ssq, scale, invScale);
+  for (; bi<n; bi+=blockSize)
+    internal::stable_norm_kernel(SegmentWrapper(copy.segment(bi,numext::mini(blockSize, n - bi))), ssq, scale, invScale);
+  return scale * sqrt(ssq);
+}
+
+/** \returns the \em l2 norm of \c *this using the Blue's algorithm.
+  * A Portable Fortran Program to Find the Euclidean Norm of a Vector,
+  * ACM TOMS, Vol 4, Issue 1, 1978.
+  *
+  * For architecture/scalar types without vectorization, this version
+  * is much faster than stableNorm(). Otherwise the stableNorm() is faster.
+  *
+  * \sa norm(), stableNorm(), hypotNorm()
+  */
+template<typename Derived>
+inline typename NumTraits<typename internal::traits<Derived>::Scalar>::Real
+MatrixBase<Derived>::blueNorm() const
+{
+  return internal::blueNorm_impl(*this);
+}
+
+/** \returns the \em l2 norm of \c *this avoiding undeflow and overflow.
+  * This version use a concatenation of hypot() calls, and it is very slow.
+  *
+  * \sa norm(), stableNorm()
+  */
+template<typename Derived>
+inline typename NumTraits<typename internal::traits<Derived>::Scalar>::Real
+MatrixBase<Derived>::hypotNorm() const
+{
+  return this->cwiseAbs().redux(internal::scalar_hypot_op<RealScalar>());
+}
+
+} // end namespace Eigen
+
+#endif // EIGEN_STABLENORM_H
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/IO.h
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/IO.h	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/IO.h	(revision 3761)
@@ -0,0 +1,225 @@
+// This file is part of Eigen, a lightweight C++ template library
+// for linear algebra.
+//
+// Copyright (C) 2006-2008 Benoit Jacob <jacob.benoit.1@gmail.com>
+// Copyright (C) 2008 Gael Guennebaud <gael.guennebaud@inria.fr>
+//
+// This Source Code Form is subject to the terms of the Mozilla
+// Public License v. 2.0. If a copy of the MPL was not distributed
+// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
+
+#ifndef EIGEN_IO_H
+#define EIGEN_IO_H
+
+namespace Eigen { 
+
+enum { DontAlignCols = 1 };
+enum { StreamPrecision = -1,
+       FullPrecision = -2 };
+
+namespace internal {
+template<typename Derived>
+std::ostream & print_matrix(std::ostream & s, const Derived& _m, const IOFormat& fmt);
+}
+
+/** \class IOFormat
+  * \ingroup Core_Module
+  *
+  * \brief Stores a set of parameters controlling the way matrices are printed
+  *
+  * List of available parameters:
+  *  - \b precision number of digits for floating point values, or one of the special constants \c StreamPrecision and \c FullPrecision.
+  *                 The default is the special value \c StreamPrecision which means to use the
+  *                 stream's own precision setting, as set for instance using \c cout.precision(3). The other special value
+  *                 \c FullPrecision means that the number of digits will be computed to match the full precision of each floating-point
+  *                 type.
+  *  - \b flags an OR-ed combination of flags, the default value is 0, the only currently available flag is \c DontAlignCols which
+  *             allows to disable the alignment of columns, resulting in faster code.
+  *  - \b coeffSeparator string printed between two coefficients of the same row
+  *  - \b rowSeparator string printed between two rows
+  *  - \b rowPrefix string printed at the beginning of each row
+  *  - \b rowSuffix string printed at the end of each row
+  *  - \b matPrefix string printed at the beginning of the matrix
+  *  - \b matSuffix string printed at the end of the matrix
+  *
+  * Example: \include IOFormat.cpp
+  * Output: \verbinclude IOFormat.out
+  *
+  * \sa DenseBase::format(), class WithFormat
+  */
+struct IOFormat
+{
+  /** Default constructor, see class IOFormat for the meaning of the parameters */
+  IOFormat(int _precision = StreamPrecision, int _flags = 0,
+    const std::string& _coeffSeparator = " ",
+    const std::string& _rowSeparator = "\n", const std::string& _rowPrefix="", const std::string& _rowSuffix="",
+    const std::string& _matPrefix="", const std::string& _matSuffix="")
+  : matPrefix(_matPrefix), matSuffix(_matSuffix), rowPrefix(_rowPrefix), rowSuffix(_rowSuffix), rowSeparator(_rowSeparator),
+    rowSpacer(""), coeffSeparator(_coeffSeparator), precision(_precision), flags(_flags)
+  {
+    // TODO check if rowPrefix, rowSuffix or rowSeparator contains a newline
+    // don't add rowSpacer if columns are not to be aligned
+    if((flags & DontAlignCols))
+      return;
+    int i = int(matSuffix.length())-1;
+    while (i>=0 && matSuffix[i]!='\n')
+    {
+      rowSpacer += ' ';
+      i--;
+    }
+  }
+  std::string matPrefix, matSuffix;
+  std::string rowPrefix, rowSuffix, rowSeparator, rowSpacer;
+  std::string coeffSeparator;
+  int precision;
+  int flags;
+};
+
+/** \class WithFormat
+  * \ingroup Core_Module
+  *
+  * \brief Pseudo expression providing matrix output with given format
+  *
+  * \tparam ExpressionType the type of the object on which IO stream operations are performed
+  *
+  * This class represents an expression with stream operators controlled by a given IOFormat.
+  * It is the return type of DenseBase::format()
+  * and most of the time this is the only way it is used.
+  *
+  * See class IOFormat for some examples.
+  *
+  * \sa DenseBase::format(), class IOFormat
+  */
+template<typename ExpressionType>
+class WithFormat
+{
+  public:
+
+    WithFormat(const ExpressionType& matrix, const IOFormat& format)
+      : m_matrix(matrix), m_format(format)
+    {}
+
+    friend std::ostream & operator << (std::ostream & s, const WithFormat& wf)
+    {
+      return internal::print_matrix(s, wf.m_matrix.eval(), wf.m_format);
+    }
+
+  protected:
+    typename ExpressionType::Nested m_matrix;
+    IOFormat m_format;
+};
+
+namespace internal {
+
+// NOTE: This helper is kept for backward compatibility with previous code specializing
+//       this internal::significant_decimals_impl structure. In the future we should directly
+//       call digits10() which has been introduced in July 2016 in 3.3.
+template<typename Scalar>
+struct significant_decimals_impl
+{
+  static inline int run()
+  {
+    return NumTraits<Scalar>::digits10();
+  }
+};
+
+/** \internal
+  * print the matrix \a _m to the output stream \a s using the output format \a fmt */
+template<typename Derived>
+std::ostream & print_matrix(std::ostream & s, const Derived& _m, const IOFormat& fmt)
+{
+  if(_m.size() == 0)
+  {
+    s << fmt.matPrefix << fmt.matSuffix;
+    return s;
+  }
+  
+  typename Derived::Nested m = _m;
+  typedef typename Derived::Scalar Scalar;
+
+  Index width = 0;
+
+  std::streamsize explicit_precision;
+  if(fmt.precision == StreamPrecision)
+  {
+    explicit_precision = 0;
+  }
+  else if(fmt.precision == FullPrecision)
+  {
+    if (NumTraits<Scalar>::IsInteger)
+    {
+      explicit_precision = 0;
+    }
+    else
+    {
+      explicit_precision = significant_decimals_impl<Scalar>::run();
+    }
+  }
+  else
+  {
+    explicit_precision = fmt.precision;
+  }
+
+  std::streamsize old_precision = 0;
+  if(explicit_precision) old_precision = s.precision(explicit_precision);
+
+  bool align_cols = !(fmt.flags & DontAlignCols);
+  if(align_cols)
+  {
+    // compute the largest width
+    for(Index j = 0; j < m.cols(); ++j)
+      for(Index i = 0; i < m.rows(); ++i)
+      {
+        std::stringstream sstr;
+        sstr.copyfmt(s);
+        sstr << m.coeff(i,j);
+        width = std::max<Index>(width, Index(sstr.str().length()));
+      }
+  }
+  s << fmt.matPrefix;
+  for(Index i = 0; i < m.rows(); ++i)
+  {
+    if (i)
+      s << fmt.rowSpacer;
+    s << fmt.rowPrefix;
+    if(width) s.width(width);
+    s << m.coeff(i, 0);
+    for(Index j = 1; j < m.cols(); ++j)
+    {
+      s << fmt.coeffSeparator;
+      if (width) s.width(width);
+      s << m.coeff(i, j);
+    }
+    s << fmt.rowSuffix;
+    if( i < m.rows() - 1)
+      s << fmt.rowSeparator;
+  }
+  s << fmt.matSuffix;
+  if(explicit_precision) s.precision(old_precision);
+  return s;
+}
+
+} // end namespace internal
+
+/** \relates DenseBase
+  *
+  * Outputs the matrix, to the given stream.
+  *
+  * If you wish to print the matrix with a format different than the default, use DenseBase::format().
+  *
+  * It is also possible to change the default format by defining EIGEN_DEFAULT_IO_FORMAT before including Eigen headers.
+  * If not defined, this will automatically be defined to Eigen::IOFormat(), that is the Eigen::IOFormat with default parameters.
+  *
+  * \sa DenseBase::format()
+  */
+template<typename Derived>
+std::ostream & operator <<
+(std::ostream & s,
+ const DenseBase<Derived> & m)
+{
+  return internal::print_matrix(s, m.eval(), EIGEN_DEFAULT_IO_FORMAT);
+}
+
+} // end namespace Eigen
+
+#endif // EIGEN_IO_H
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h	(revision 3761)
@@ -0,0 +1,935 @@
+// This file is part of Eigen, a lightweight C++ template library
+// for linear algebra.
+//
+// Copyright (C) 2011 Benoit Jacob <jacob.benoit.1@gmail.com>
+// Copyright (C) 2011-2014 Gael Guennebaud <gael.guennebaud@inria.fr>
+// Copyright (C) 2011-2012 Jitse Niesen <jitse@maths.leeds.ac.uk>
+//
+// This Source Code Form is subject to the terms of the Mozilla
+// Public License v. 2.0. If a copy of the MPL was not distributed
+// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
+
+#ifndef EIGEN_ASSIGN_EVALUATOR_H
+#define EIGEN_ASSIGN_EVALUATOR_H
+
+namespace Eigen {
+
+// This implementation is based on Assign.h
+
+namespace internal {
+  
+/***************************************************************************
+* Part 1 : the logic deciding a strategy for traversal and unrolling       *
+***************************************************************************/
+
+// copy_using_evaluator_traits is based on assign_traits
+
+template <typename DstEvaluator, typename SrcEvaluator, typename AssignFunc>
+struct copy_using_evaluator_traits
+{
+  typedef typename DstEvaluator::XprType Dst;
+  typedef typename Dst::Scalar DstScalar;
+  
+  enum {
+    DstFlags = DstEvaluator::Flags,
+    SrcFlags = SrcEvaluator::Flags
+  };
+  
+public:
+  enum {
+    DstAlignment = DstEvaluator::Alignment,
+    SrcAlignment = SrcEvaluator::Alignment,
+    DstHasDirectAccess = (DstFlags & DirectAccessBit) == DirectAccessBit,
+    JointAlignment = EIGEN_PLAIN_ENUM_MIN(DstAlignment,SrcAlignment)
+  };
+
+private:
+  enum {
+    InnerSize = int(Dst::IsVectorAtCompileTime) ? int(Dst::SizeAtCompileTime)
+              : int(DstFlags)&RowMajorBit ? int(Dst::ColsAtCompileTime)
+              : int(Dst::RowsAtCompileTime),
+    InnerMaxSize = int(Dst::IsVectorAtCompileTime) ? int(Dst::MaxSizeAtCompileTime)
+              : int(DstFlags)&RowMajorBit ? int(Dst::MaxColsAtCompileTime)
+              : int(Dst::MaxRowsAtCompileTime),
+    OuterStride = int(outer_stride_at_compile_time<Dst>::ret),
+    MaxSizeAtCompileTime = Dst::SizeAtCompileTime
+  };
+
+  // TODO distinguish between linear traversal and inner-traversals
+  typedef typename find_best_packet<DstScalar,Dst::SizeAtCompileTime>::type LinearPacketType;
+  typedef typename find_best_packet<DstScalar,InnerSize>::type InnerPacketType;
+
+  enum {
+    LinearPacketSize = unpacket_traits<LinearPacketType>::size,
+    InnerPacketSize = unpacket_traits<InnerPacketType>::size
+  };
+
+public:
+  enum {
+    LinearRequiredAlignment = unpacket_traits<LinearPacketType>::alignment,
+    InnerRequiredAlignment = unpacket_traits<InnerPacketType>::alignment
+  };
+
+private:
+  enum {
+    DstIsRowMajor = DstFlags&RowMajorBit,
+    SrcIsRowMajor = SrcFlags&RowMajorBit,
+    StorageOrdersAgree = (int(DstIsRowMajor) == int(SrcIsRowMajor)),
+    MightVectorize = bool(StorageOrdersAgree)
+                  && (int(DstFlags) & int(SrcFlags) & ActualPacketAccessBit)
+                  && bool(functor_traits<AssignFunc>::PacketAccess),
+    MayInnerVectorize  = MightVectorize
+                       && int(InnerSize)!=Dynamic && int(InnerSize)%int(InnerPacketSize)==0
+                       && int(OuterStride)!=Dynamic && int(OuterStride)%int(InnerPacketSize)==0
+                       && (EIGEN_UNALIGNED_VECTORIZE  || int(JointAlignment)>=int(InnerRequiredAlignment)),
+    MayLinearize = bool(StorageOrdersAgree) && (int(DstFlags) & int(SrcFlags) & LinearAccessBit),
+    MayLinearVectorize = bool(MightVectorize) && bool(MayLinearize) && bool(DstHasDirectAccess)
+                       && (EIGEN_UNALIGNED_VECTORIZE || (int(DstAlignment)>=int(LinearRequiredAlignment)) || MaxSizeAtCompileTime == Dynamic),
+      /* If the destination isn't aligned, we have to do runtime checks and we don't unroll,
+         so it's only good for large enough sizes. */
+    MaySliceVectorize  = bool(MightVectorize) && bool(DstHasDirectAccess)
+                       && (int(InnerMaxSize)==Dynamic || int(InnerMaxSize)>=(EIGEN_UNALIGNED_VECTORIZE?InnerPacketSize:(3*InnerPacketSize)))
+      /* slice vectorization can be slow, so we only want it if the slices are big, which is
+         indicated by InnerMaxSize rather than InnerSize, think of the case of a dynamic block
+         in a fixed-size matrix
+         However, with EIGEN_UNALIGNED_VECTORIZE and unrolling, slice vectorization is still worth it */
+  };
+
+public:
+  enum {
+    Traversal = int(MayLinearVectorize) && (LinearPacketSize>InnerPacketSize) ? int(LinearVectorizedTraversal)
+              : int(MayInnerVectorize)   ? int(InnerVectorizedTraversal)
+              : int(MayLinearVectorize)  ? int(LinearVectorizedTraversal)
+              : int(MaySliceVectorize)   ? int(SliceVectorizedTraversal)
+              : int(MayLinearize)        ? int(LinearTraversal)
+                                         : int(DefaultTraversal),
+    Vectorized = int(Traversal) == InnerVectorizedTraversal
+              || int(Traversal) == LinearVectorizedTraversal
+              || int(Traversal) == SliceVectorizedTraversal
+  };
+
+  typedef typename conditional<int(Traversal)==LinearVectorizedTraversal, LinearPacketType, InnerPacketType>::type PacketType;
+
+private:
+  enum {
+    ActualPacketSize    = int(Traversal)==LinearVectorizedTraversal ? LinearPacketSize
+                        : Vectorized ? InnerPacketSize
+                        : 1,
+    UnrollingLimit      = EIGEN_UNROLLING_LIMIT * ActualPacketSize,
+    MayUnrollCompletely = int(Dst::SizeAtCompileTime) != Dynamic
+                       && int(Dst::SizeAtCompileTime) * (int(DstEvaluator::CoeffReadCost)+int(SrcEvaluator::CoeffReadCost)) <= int(UnrollingLimit),
+    MayUnrollInner      = int(InnerSize) != Dynamic
+                       && int(InnerSize) * (int(DstEvaluator::CoeffReadCost)+int(SrcEvaluator::CoeffReadCost)) <= int(UnrollingLimit)
+  };
+
+public:
+  enum {
+    Unrolling = (int(Traversal) == int(InnerVectorizedTraversal) || int(Traversal) == int(DefaultTraversal))
+                ? (
+                    int(MayUnrollCompletely) ? int(CompleteUnrolling)
+                  : int(MayUnrollInner)      ? int(InnerUnrolling)
+                                             : int(NoUnrolling)
+                  )
+              : int(Traversal) == int(LinearVectorizedTraversal)
+                ? ( bool(MayUnrollCompletely) && ( EIGEN_UNALIGNED_VECTORIZE || (int(DstAlignment)>=int(LinearRequiredAlignment)))
+                          ? int(CompleteUnrolling)
+                          : int(NoUnrolling) )
+              : int(Traversal) == int(LinearTraversal)
+                ? ( bool(MayUnrollCompletely) ? int(CompleteUnrolling) 
+                                              : int(NoUnrolling) )
+#if EIGEN_UNALIGNED_VECTORIZE
+              : int(Traversal) == int(SliceVectorizedTraversal)
+                ? ( bool(MayUnrollInner) ? int(InnerUnrolling)
+                                         : int(NoUnrolling) )
+#endif
+              : int(NoUnrolling)
+  };
+
+#ifdef EIGEN_DEBUG_ASSIGN
+  static void debug()
+  {
+    std::cerr << "DstXpr: " << typeid(typename DstEvaluator::XprType).name() << std::endl;
+    std::cerr << "SrcXpr: " << typeid(typename SrcEvaluator::XprType).name() << std::endl;
+    std::cerr.setf(std::ios::hex, std::ios::basefield);
+    std::cerr << "DstFlags" << " = " << DstFlags << " (" << demangle_flags(DstFlags) << " )" << std::endl;
+    std::cerr << "SrcFlags" << " = " << SrcFlags << " (" << demangle_flags(SrcFlags) << " )" << std::endl;
+    std::cerr.unsetf(std::ios::hex);
+    EIGEN_DEBUG_VAR(DstAlignment)
+    EIGEN_DEBUG_VAR(SrcAlignment)
+    EIGEN_DEBUG_VAR(LinearRequiredAlignment)
+    EIGEN_DEBUG_VAR(InnerRequiredAlignment)
+    EIGEN_DEBUG_VAR(JointAlignment)
+    EIGEN_DEBUG_VAR(InnerSize)
+    EIGEN_DEBUG_VAR(InnerMaxSize)
+    EIGEN_DEBUG_VAR(LinearPacketSize)
+    EIGEN_DEBUG_VAR(InnerPacketSize)
+    EIGEN_DEBUG_VAR(ActualPacketSize)
+    EIGEN_DEBUG_VAR(StorageOrdersAgree)
+    EIGEN_DEBUG_VAR(MightVectorize)
+    EIGEN_DEBUG_VAR(MayLinearize)
+    EIGEN_DEBUG_VAR(MayInnerVectorize)
+    EIGEN_DEBUG_VAR(MayLinearVectorize)
+    EIGEN_DEBUG_VAR(MaySliceVectorize)
+    std::cerr << "Traversal" << " = " << Traversal << " (" << demangle_traversal(Traversal) << ")" << std::endl;
+    EIGEN_DEBUG_VAR(SrcEvaluator::CoeffReadCost)
+    EIGEN_DEBUG_VAR(UnrollingLimit)
+    EIGEN_DEBUG_VAR(MayUnrollCompletely)
+    EIGEN_DEBUG_VAR(MayUnrollInner)
+    std::cerr << "Unrolling" << " = " << Unrolling << " (" << demangle_unrolling(Unrolling) << ")" << std::endl;
+    std::cerr << std::endl;
+  }
+#endif
+};
+
+/***************************************************************************
+* Part 2 : meta-unrollers
+***************************************************************************/
+
+/************************
+*** Default traversal ***
+************************/
+
+template<typename Kernel, int Index, int Stop>
+struct copy_using_evaluator_DefaultTraversal_CompleteUnrolling
+{
+  // FIXME: this is not very clean, perhaps this information should be provided by the kernel?
+  typedef typename Kernel::DstEvaluatorType DstEvaluatorType;
+  typedef typename DstEvaluatorType::XprType DstXprType;
+  
+  enum {
+    outer = Index / DstXprType::InnerSizeAtCompileTime,
+    inner = Index % DstXprType::InnerSizeAtCompileTime
+  };
+
+  EIGEN_DEVICE_FUNC static EIGEN_STRONG_INLINE void run(Kernel &kernel)
+  {
+    kernel.assignCoeffByOuterInner(outer, inner);
+    copy_using_evaluator_DefaultTraversal_CompleteUnrolling<Kernel, Index+1, Stop>::run(kernel);
+  }
+};
+
+template<typename Kernel, int Stop>
+struct copy_using_evaluator_DefaultTraversal_CompleteUnrolling<Kernel, Stop, Stop>
+{
+  EIGEN_DEVICE_FUNC static EIGEN_STRONG_INLINE void run(Kernel&) { }
+};
+
+template<typename Kernel, int Index_, int Stop>
+struct copy_using_evaluator_DefaultTraversal_InnerUnrolling
+{
+  EIGEN_DEVICE_FUNC static EIGEN_STRONG_INLINE void run(Kernel &kernel, Index outer)
+  {
+    kernel.assignCoeffByOuterInner(outer, Index_);
+    copy_using_evaluator_DefaultTraversal_InnerUnrolling<Kernel, Index_+1, Stop>::run(kernel, outer);
+  }
+};
+
+template<typename Kernel, int Stop>
+struct copy_using_evaluator_DefaultTraversal_InnerUnrolling<Kernel, Stop, Stop>
+{
+  EIGEN_DEVICE_FUNC static EIGEN_STRONG_INLINE void run(Kernel&, Index) { }
+};
+
+/***********************
+*** Linear traversal ***
+***********************/
+
+template<typename Kernel, int Index, int Stop>
+struct copy_using_evaluator_LinearTraversal_CompleteUnrolling
+{
+  EIGEN_DEVICE_FUNC static EIGEN_STRONG_INLINE void run(Kernel& kernel)
+  {
+    kernel.assignCoeff(Index);
+    copy_using_evaluator_LinearTraversal_CompleteUnrolling<Kernel, Index+1, Stop>::run(kernel);
+  }
+};
+
+template<typename Kernel, int Stop>
+struct copy_using_evaluator_LinearTraversal_CompleteUnrolling<Kernel, Stop, Stop>
+{
+  EIGEN_DEVICE_FUNC static EIGEN_STRONG_INLINE void run(Kernel&) { }
+};
+
+/**************************
+*** Inner vectorization ***
+**************************/
+
+template<typename Kernel, int Index, int Stop>
+struct copy_using_evaluator_innervec_CompleteUnrolling
+{
+  // FIXME: this is not very clean, perhaps this information should be provided by the kernel?
+  typedef typename Kernel::DstEvaluatorType DstEvaluatorType;
+  typedef typename DstEvaluatorType::XprType DstXprType;
+  typedef typename Kernel::PacketType PacketType;
+  
+  enum {
+    outer = Index / DstXprType::InnerSizeAtCompileTime,
+    inner = Index % DstXprType::InnerSizeAtCompileTime,
+    SrcAlignment = Kernel::AssignmentTraits::SrcAlignment,
+    DstAlignment = Kernel::AssignmentTraits::DstAlignment
+  };
+
+  EIGEN_DEVICE_FUNC static EIGEN_STRONG_INLINE void run(Kernel &kernel)
+  {
+    kernel.template assignPacketByOuterInner<DstAlignment, SrcAlignment, PacketType>(outer, inner);
+    enum { NextIndex = Index + unpacket_traits<PacketType>::size };
+    copy_using_evaluator_innervec_CompleteUnrolling<Kernel, NextIndex, Stop>::run(kernel);
+  }
+};
+
+template<typename Kernel, int Stop>
+struct copy_using_evaluator_innervec_CompleteUnrolling<Kernel, Stop, Stop>
+{
+  EIGEN_DEVICE_FUNC static EIGEN_STRONG_INLINE void run(Kernel&) { }
+};
+
+template<typename Kernel, int Index_, int Stop, int SrcAlignment, int DstAlignment>
+struct copy_using_evaluator_innervec_InnerUnrolling
+{
+  typedef typename Kernel::PacketType PacketType;
+  EIGEN_DEVICE_FUNC static EIGEN_STRONG_INLINE void run(Kernel &kernel, Index outer)
+  {
+    kernel.template assignPacketByOuterInner<DstAlignment, SrcAlignment, PacketType>(outer, Index_);
+    enum { NextIndex = Index_ + unpacket_traits<PacketType>::size };
+    copy_using_evaluator_innervec_InnerUnrolling<Kernel, NextIndex, Stop, SrcAlignment, DstAlignment>::run(kernel, outer);
+  }
+};
+
+template<typename Kernel, int Stop, int SrcAlignment, int DstAlignment>
+struct copy_using_evaluator_innervec_InnerUnrolling<Kernel, Stop, Stop, SrcAlignment, DstAlignment>
+{
+  EIGEN_DEVICE_FUNC static EIGEN_STRONG_INLINE void run(Kernel &, Index) { }
+};
+
+/***************************************************************************
+* Part 3 : implementation of all cases
+***************************************************************************/
+
+// dense_assignment_loop is based on assign_impl
+
+template<typename Kernel,
+         int Traversal = Kernel::AssignmentTraits::Traversal,
+         int Unrolling = Kernel::AssignmentTraits::Unrolling>
+struct dense_assignment_loop;
+
+/************************
+*** Default traversal ***
+************************/
+
+template<typename Kernel>
+struct dense_assignment_loop<Kernel, DefaultTraversal, NoUnrolling>
+{
+  EIGEN_DEVICE_FUNC static void EIGEN_STRONG_INLINE run(Kernel &kernel)
+  {
+    for(Index outer = 0; outer < kernel.outerSize(); ++outer) {
+      for(Index inner = 0; inner < kernel.innerSize(); ++inner) {
+        kernel.assignCoeffByOuterInner(outer, inner);
+      }
+    }
+  }
+};
+
+template<typename Kernel>
+struct dense_assignment_loop<Kernel, DefaultTraversal, CompleteUnrolling>
+{
+  EIGEN_DEVICE_FUNC static EIGEN_STRONG_INLINE void run(Kernel &kernel)
+  {
+    typedef typename Kernel::DstEvaluatorType::XprType DstXprType;
+    copy_using_evaluator_DefaultTraversal_CompleteUnrolling<Kernel, 0, DstXprType::SizeAtCompileTime>::run(kernel);
+  }
+};
+
+template<typename Kernel>
+struct dense_assignment_loop<Kernel, DefaultTraversal, InnerUnrolling>
+{
+  EIGEN_DEVICE_FUNC static EIGEN_STRONG_INLINE void run(Kernel &kernel)
+  {
+    typedef typename Kernel::DstEvaluatorType::XprType DstXprType;
+
+    const Index outerSize = kernel.outerSize();
+    for(Index outer = 0; outer < outerSize; ++outer)
+      copy_using_evaluator_DefaultTraversal_InnerUnrolling<Kernel, 0, DstXprType::InnerSizeAtCompileTime>::run(kernel, outer);
+  }
+};
+
+/***************************
+*** Linear vectorization ***
+***************************/
+
+
+// The goal of unaligned_dense_assignment_loop is simply to factorize the handling
+// of the non vectorizable beginning and ending parts
+
+template <bool IsAligned = false>
+struct unaligned_dense_assignment_loop
+{
+  // if IsAligned = true, then do nothing
+  template <typename Kernel>
+  EIGEN_DEVICE_FUNC static EIGEN_STRONG_INLINE void run(Kernel&, Index, Index) {}
+};
+
+template <>
+struct unaligned_dense_assignment_loop<false>
+{
+  // MSVC must not inline this functions. If it does, it fails to optimize the
+  // packet access path.
+  // FIXME check which version exhibits this issue
+#if EIGEN_COMP_MSVC
+  template <typename Kernel>
+  static EIGEN_DONT_INLINE void run(Kernel &kernel,
+                                    Index start,
+                                    Index end)
+#else
+  template <typename Kernel>
+  EIGEN_DEVICE_FUNC static EIGEN_STRONG_INLINE void run(Kernel &kernel,
+                                      Index start,
+                                      Index end)
+#endif
+  {
+    for (Index index = start; index < end; ++index)
+      kernel.assignCoeff(index);
+  }
+};
+
+template<typename Kernel>
+struct dense_assignment_loop<Kernel, LinearVectorizedTraversal, NoUnrolling>
+{
+  EIGEN_DEVICE_FUNC static EIGEN_STRONG_INLINE void run(Kernel &kernel)
+  {
+    const Index size = kernel.size();
+    typedef typename Kernel::Scalar Scalar;
+    typedef typename Kernel::PacketType PacketType;
+    enum {
+      requestedAlignment = Kernel::AssignmentTraits::LinearRequiredAlignment,
+      packetSize = unpacket_traits<PacketType>::size,
+      dstIsAligned = int(Kernel::AssignmentTraits::DstAlignment)>=int(requestedAlignment),
+      dstAlignment = packet_traits<Scalar>::AlignedOnScalar ? int(requestedAlignment)
+                                                            : int(Kernel::AssignmentTraits::DstAlignment),
+      srcAlignment = Kernel::AssignmentTraits::JointAlignment
+    };
+    const Index alignedStart = dstIsAligned ? 0 : internal::first_aligned<requestedAlignment>(kernel.dstDataPtr(), size);
+    const Index alignedEnd = alignedStart + ((size-alignedStart)/packetSize)*packetSize;
+
+    unaligned_dense_assignment_loop<dstIsAligned!=0>::run(kernel, 0, alignedStart);
+
+    for(Index index = alignedStart; index < alignedEnd; index += packetSize)
+      kernel.template assignPacket<dstAlignment, srcAlignment, PacketType>(index);
+
+    unaligned_dense_assignment_loop<>::run(kernel, alignedEnd, size);
+  }
+};
+
+template<typename Kernel>
+struct dense_assignment_loop<Kernel, LinearVectorizedTraversal, CompleteUnrolling>
+{
+  EIGEN_DEVICE_FUNC static EIGEN_STRONG_INLINE void run(Kernel &kernel)
+  {
+    typedef typename Kernel::DstEvaluatorType::XprType DstXprType;
+    typedef typename Kernel::PacketType PacketType;
+    
+    enum { size = DstXprType::SizeAtCompileTime,
+           packetSize =unpacket_traits<PacketType>::size,
+           alignedSize = (size/packetSize)*packetSize };
+
+    copy_using_evaluator_innervec_CompleteUnrolling<Kernel, 0, alignedSize>::run(kernel);
+    copy_using_evaluator_DefaultTraversal_CompleteUnrolling<Kernel, alignedSize, size>::run(kernel);
+  }
+};
+
+/**************************
+*** Inner vectorization ***
+**************************/
+
+template<typename Kernel>
+struct dense_assignment_loop<Kernel, InnerVectorizedTraversal, NoUnrolling>
+{
+  typedef typename Kernel::PacketType PacketType;
+  enum {
+    SrcAlignment = Kernel::AssignmentTraits::SrcAlignment,
+    DstAlignment = Kernel::AssignmentTraits::DstAlignment
+  };
+  EIGEN_DEVICE_FUNC static EIGEN_STRONG_INLINE void run(Kernel &kernel)
+  {
+    const Index innerSize = kernel.innerSize();
+    const Index outerSize = kernel.outerSize();
+    const Index packetSize = unpacket_traits<PacketType>::size;
+    for(Index outer = 0; outer < outerSize; ++outer)
+      for(Index inner = 0; inner < innerSize; inner+=packetSize)
+        kernel.template assignPacketByOuterInner<DstAlignment, SrcAlignment, PacketType>(outer, inner);
+  }
+};
+
+template<typename Kernel>
+struct dense_assignment_loop<Kernel, InnerVectorizedTraversal, CompleteUnrolling>
+{
+  EIGEN_DEVICE_FUNC static EIGEN_STRONG_INLINE void run(Kernel &kernel)
+  {
+    typedef typename Kernel::DstEvaluatorType::XprType DstXprType;
+    copy_using_evaluator_innervec_CompleteUnrolling<Kernel, 0, DstXprType::SizeAtCompileTime>::run(kernel);
+  }
+};
+
+template<typename Kernel>
+struct dense_assignment_loop<Kernel, InnerVectorizedTraversal, InnerUnrolling>
+{
+  EIGEN_DEVICE_FUNC static EIGEN_STRONG_INLINE void run(Kernel &kernel)
+  {
+    typedef typename Kernel::DstEvaluatorType::XprType DstXprType;
+    typedef typename Kernel::AssignmentTraits Traits;
+    const Index outerSize = kernel.outerSize();
+    for(Index outer = 0; outer < outerSize; ++outer)
+      copy_using_evaluator_innervec_InnerUnrolling<Kernel, 0, DstXprType::InnerSizeAtCompileTime,
+                                                   Traits::SrcAlignment, Traits::DstAlignment>::run(kernel, outer);
+  }
+};
+
+/***********************
+*** Linear traversal ***
+***********************/
+
+template<typename Kernel>
+struct dense_assignment_loop<Kernel, LinearTraversal, NoUnrolling>
+{
+  EIGEN_DEVICE_FUNC static EIGEN_STRONG_INLINE void run(Kernel &kernel)
+  {
+    const Index size = kernel.size();
+    for(Index i = 0; i < size; ++i)
+      kernel.assignCoeff(i);
+  }
+};
+
+template<typename Kernel>
+struct dense_assignment_loop<Kernel, LinearTraversal, CompleteUnrolling>
+{
+  EIGEN_DEVICE_FUNC static EIGEN_STRONG_INLINE void run(Kernel &kernel)
+  {
+    typedef typename Kernel::DstEvaluatorType::XprType DstXprType;
+    copy_using_evaluator_LinearTraversal_CompleteUnrolling<Kernel, 0, DstXprType::SizeAtCompileTime>::run(kernel);
+  }
+};
+
+/**************************
+*** Slice vectorization ***
+***************************/
+
+template<typename Kernel>
+struct dense_assignment_loop<Kernel, SliceVectorizedTraversal, NoUnrolling>
+{
+  EIGEN_DEVICE_FUNC static EIGEN_STRONG_INLINE void run(Kernel &kernel)
+  {
+    typedef typename Kernel::Scalar Scalar;
+    typedef typename Kernel::PacketType PacketType;
+    enum {
+      packetSize = unpacket_traits<PacketType>::size,
+      requestedAlignment = int(Kernel::AssignmentTraits::InnerRequiredAlignment),
+      alignable = packet_traits<Scalar>::AlignedOnScalar || int(Kernel::AssignmentTraits::DstAlignment)>=sizeof(Scalar),
+      dstIsAligned = int(Kernel::AssignmentTraits::DstAlignment)>=int(requestedAlignment),
+      dstAlignment = alignable ? int(requestedAlignment)
+                               : int(Kernel::AssignmentTraits::DstAlignment)
+    };
+    const Scalar *dst_ptr = kernel.dstDataPtr();
+    if((!bool(dstIsAligned)) && (UIntPtr(dst_ptr) % sizeof(Scalar))>0)
+    {
+      // the pointer is not aligend-on scalar, so alignment is not possible
+      return dense_assignment_loop<Kernel,DefaultTraversal,NoUnrolling>::run(kernel);
+    }
+    const Index packetAlignedMask = packetSize - 1;
+    const Index innerSize = kernel.innerSize();
+    const Index outerSize = kernel.outerSize();
+    const Index alignedStep = alignable ? (packetSize - kernel.outerStride() % packetSize) & packetAlignedMask : 0;
+    Index alignedStart = ((!alignable) || bool(dstIsAligned)) ? 0 : internal::first_aligned<requestedAlignment>(dst_ptr, innerSize);
+
+    for(Index outer = 0; outer < outerSize; ++outer)
+    {
+      const Index alignedEnd = alignedStart + ((innerSize-alignedStart) & ~packetAlignedMask);
+      // do the non-vectorizable part of the assignment
+      for(Index inner = 0; inner<alignedStart ; ++inner)
+        kernel.assignCoeffByOuterInner(outer, inner);
+
+      // do the vectorizable part of the assignment
+      for(Index inner = alignedStart; inner<alignedEnd; inner+=packetSize)
+        kernel.template assignPacketByOuterInner<dstAlignment, Unaligned, PacketType>(outer, inner);
+
+      // do the non-vectorizable part of the assignment
+      for(Index inner = alignedEnd; inner<innerSize ; ++inner)
+        kernel.assignCoeffByOuterInner(outer, inner);
+
+      alignedStart = numext::mini((alignedStart+alignedStep)%packetSize, innerSize);
+    }
+  }
+};
+
+#if EIGEN_UNALIGNED_VECTORIZE
+template<typename Kernel>
+struct dense_assignment_loop<Kernel, SliceVectorizedTraversal, InnerUnrolling>
+{
+  EIGEN_DEVICE_FUNC static EIGEN_STRONG_INLINE void run(Kernel &kernel)
+  {
+    typedef typename Kernel::DstEvaluatorType::XprType DstXprType;
+    typedef typename Kernel::PacketType PacketType;
+
+    enum { size = DstXprType::InnerSizeAtCompileTime,
+           packetSize =unpacket_traits<PacketType>::size,
+           vectorizableSize = (size/packetSize)*packetSize };
+
+    for(Index outer = 0; outer < kernel.outerSize(); ++outer)
+    {
+      copy_using_evaluator_innervec_InnerUnrolling<Kernel, 0, vectorizableSize, 0, 0>::run(kernel, outer);
+      copy_using_evaluator_DefaultTraversal_InnerUnrolling<Kernel, vectorizableSize, size>::run(kernel, outer);
+    }
+  }
+};
+#endif
+
+
+/***************************************************************************
+* Part 4 : Generic dense assignment kernel
+***************************************************************************/
+
+// This class generalize the assignment of a coefficient (or packet) from one dense evaluator
+// to another dense writable evaluator.
+// It is parametrized by the two evaluators, and the actual assignment functor.
+// This abstraction level permits to keep the evaluation loops as simple and as generic as possible.
+// One can customize the assignment using this generic dense_assignment_kernel with different
+// functors, or by completely overloading it, by-passing a functor.
+template<typename DstEvaluatorTypeT, typename SrcEvaluatorTypeT, typename Functor, int Version = Specialized>
+class generic_dense_assignment_kernel
+{
+protected:
+  typedef typename DstEvaluatorTypeT::XprType DstXprType;
+  typedef typename SrcEvaluatorTypeT::XprType SrcXprType;
+public:
+  
+  typedef DstEvaluatorTypeT DstEvaluatorType;
+  typedef SrcEvaluatorTypeT SrcEvaluatorType;
+  typedef typename DstEvaluatorType::Scalar Scalar;
+  typedef copy_using_evaluator_traits<DstEvaluatorTypeT, SrcEvaluatorTypeT, Functor> AssignmentTraits;
+  typedef typename AssignmentTraits::PacketType PacketType;
+  
+  
+  EIGEN_DEVICE_FUNC generic_dense_assignment_kernel(DstEvaluatorType &dst, const SrcEvaluatorType &src, const Functor &func, DstXprType& dstExpr)
+    : m_dst(dst), m_src(src), m_functor(func), m_dstExpr(dstExpr)
+  {
+    #ifdef EIGEN_DEBUG_ASSIGN
+    AssignmentTraits::debug();
+    #endif
+  }
+  
+  EIGEN_DEVICE_FUNC Index size() const        { return m_dstExpr.size(); }
+  EIGEN_DEVICE_FUNC Index innerSize() const   { return m_dstExpr.innerSize(); }
+  EIGEN_DEVICE_FUNC Index outerSize() const   { return m_dstExpr.outerSize(); }
+  EIGEN_DEVICE_FUNC Index rows() const        { return m_dstExpr.rows(); }
+  EIGEN_DEVICE_FUNC Index cols() const        { return m_dstExpr.cols(); }
+  EIGEN_DEVICE_FUNC Index outerStride() const { return m_dstExpr.outerStride(); }
+  
+  EIGEN_DEVICE_FUNC DstEvaluatorType& dstEvaluator() { return m_dst; }
+  EIGEN_DEVICE_FUNC const SrcEvaluatorType& srcEvaluator() const { return m_src; }
+  
+  /// Assign src(row,col) to dst(row,col) through the assignment functor.
+  EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE void assignCoeff(Index row, Index col)
+  {
+    m_functor.assignCoeff(m_dst.coeffRef(row,col), m_src.coeff(row,col));
+  }
+  
+  /// \sa assignCoeff(Index,Index)
+  EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE void assignCoeff(Index index)
+  {
+    m_functor.assignCoeff(m_dst.coeffRef(index), m_src.coeff(index));
+  }
+  
+  /// \sa assignCoeff(Index,Index)
+  EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE void assignCoeffByOuterInner(Index outer, Index inner)
+  {
+    Index row = rowIndexByOuterInner(outer, inner); 
+    Index col = colIndexByOuterInner(outer, inner); 
+    assignCoeff(row, col);
+  }
+  
+  
+  template<int StoreMode, int LoadMode, typename PacketType>
+  EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE void assignPacket(Index row, Index col)
+  {
+    m_functor.template assignPacket<StoreMode>(&m_dst.coeffRef(row,col), m_src.template packet<LoadMode,PacketType>(row,col));
+  }
+  
+  template<int StoreMode, int LoadMode, typename PacketType>
+  EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE void assignPacket(Index index)
+  {
+    m_functor.template assignPacket<StoreMode>(&m_dst.coeffRef(index), m_src.template packet<LoadMode,PacketType>(index));
+  }
+  
+  template<int StoreMode, int LoadMode, typename PacketType>
+  EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE void assignPacketByOuterInner(Index outer, Index inner)
+  {
+    Index row = rowIndexByOuterInner(outer, inner); 
+    Index col = colIndexByOuterInner(outer, inner);
+    assignPacket<StoreMode,LoadMode,PacketType>(row, col);
+  }
+  
+  EIGEN_DEVICE_FUNC static EIGEN_STRONG_INLINE Index rowIndexByOuterInner(Index outer, Index inner)
+  {
+    typedef typename DstEvaluatorType::ExpressionTraits Traits;
+    return int(Traits::RowsAtCompileTime) == 1 ? 0
+      : int(Traits::ColsAtCompileTime) == 1 ? inner
+      : int(DstEvaluatorType::Flags)&RowMajorBit ? outer
+      : inner;
+  }
+
+  EIGEN_DEVICE_FUNC static EIGEN_STRONG_INLINE Index colIndexByOuterInner(Index outer, Index inner)
+  {
+    typedef typename DstEvaluatorType::ExpressionTraits Traits;
+    return int(Traits::ColsAtCompileTime) == 1 ? 0
+      : int(Traits::RowsAtCompileTime) == 1 ? inner
+      : int(DstEvaluatorType::Flags)&RowMajorBit ? inner
+      : outer;
+  }
+
+  EIGEN_DEVICE_FUNC const Scalar* dstDataPtr() const
+  {
+    return m_dstExpr.data();
+  }
+  
+protected:
+  DstEvaluatorType& m_dst;
+  const SrcEvaluatorType& m_src;
+  const Functor &m_functor;
+  // TODO find a way to avoid the needs of the original expression
+  DstXprType& m_dstExpr;
+};
+
+/***************************************************************************
+* Part 5 : Entry point for dense rectangular assignment
+***************************************************************************/
+
+template<typename DstXprType,typename SrcXprType, typename Functor>
+EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE
+void resize_if_allowed(DstXprType &dst, const SrcXprType& src, const Functor &/*func*/)
+{
+  EIGEN_ONLY_USED_FOR_DEBUG(dst);
+  EIGEN_ONLY_USED_FOR_DEBUG(src);
+  eigen_assert(dst.rows() == src.rows() && dst.cols() == src.cols());
+}
+
+template<typename DstXprType,typename SrcXprType, typename T1, typename T2>
+EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE
+void resize_if_allowed(DstXprType &dst, const SrcXprType& src, const internal::assign_op<T1,T2> &/*func*/)
+{
+  Index dstRows = src.rows();
+  Index dstCols = src.cols();
+  if(((dst.rows()!=dstRows) || (dst.cols()!=dstCols)))
+    dst.resize(dstRows, dstCols);
+  eigen_assert(dst.rows() == dstRows && dst.cols() == dstCols);
+}
+
+template<typename DstXprType, typename SrcXprType, typename Functor>
+EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE void call_dense_assignment_loop(DstXprType& dst, const SrcXprType& src, const Functor &func)
+{
+  typedef evaluator<DstXprType> DstEvaluatorType;
+  typedef evaluator<SrcXprType> SrcEvaluatorType;
+
+  SrcEvaluatorType srcEvaluator(src);
+
+  // NOTE To properly handle A = (A*A.transpose())/s with A rectangular,
+  // we need to resize the destination after the source evaluator has been created.
+  resize_if_allowed(dst, src, func);
+
+  DstEvaluatorType dstEvaluator(dst);
+    
+  typedef generic_dense_assignment_kernel<DstEvaluatorType,SrcEvaluatorType,Functor> Kernel;
+  Kernel kernel(dstEvaluator, srcEvaluator, func, dst.const_cast_derived());
+
+  dense_assignment_loop<Kernel>::run(kernel);
+}
+
+template<typename DstXprType, typename SrcXprType>
+EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE void call_dense_assignment_loop(DstXprType& dst, const SrcXprType& src)
+{
+  call_dense_assignment_loop(dst, src, internal::assign_op<typename DstXprType::Scalar,typename SrcXprType::Scalar>());
+}
+
+/***************************************************************************
+* Part 6 : Generic assignment
+***************************************************************************/
+
+// Based on the respective shapes of the destination and source,
+// the class AssignmentKind determine the kind of assignment mechanism.
+// AssignmentKind must define a Kind typedef.
+template<typename DstShape, typename SrcShape> struct AssignmentKind;
+
+// Assignement kind defined in this file:
+struct Dense2Dense {};
+struct EigenBase2EigenBase {};
+
+template<typename,typename> struct AssignmentKind { typedef EigenBase2EigenBase Kind; };
+template<> struct AssignmentKind<DenseShape,DenseShape> { typedef Dense2Dense Kind; };
+    
+// This is the main assignment class
+template< typename DstXprType, typename SrcXprType, typename Functor,
+          typename Kind = typename AssignmentKind< typename evaluator_traits<DstXprType>::Shape , typename evaluator_traits<SrcXprType>::Shape >::Kind,
+          typename EnableIf = void>
+struct Assignment;
+
+
+// The only purpose of this call_assignment() function is to deal with noalias() / "assume-aliasing" and automatic transposition.
+// Indeed, I (Gael) think that this concept of "assume-aliasing" was a mistake, and it makes thing quite complicated.
+// So this intermediate function removes everything related to "assume-aliasing" such that Assignment
+// does not has to bother about these annoying details.
+
+template<typename Dst, typename Src>
+EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE
+void call_assignment(Dst& dst, const Src& src)
+{
+  call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
+}
+template<typename Dst, typename Src>
+EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE
+void call_assignment(const Dst& dst, const Src& src)
+{
+  call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
+}
+                     
+// Deal with "assume-aliasing"
+template<typename Dst, typename Src, typename Func>
+EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE
+void call_assignment(Dst& dst, const Src& src, const Func& func, typename enable_if< evaluator_assume_aliasing<Src>::value, void*>::type = 0)
+{
+  typename plain_matrix_type<Src>::type tmp(src);
+  call_assignment_no_alias(dst, tmp, func);
+}
+
+template<typename Dst, typename Src, typename Func>
+EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE
+void call_assignment(Dst& dst, const Src& src, const Func& func, typename enable_if<!evaluator_assume_aliasing<Src>::value, void*>::type = 0)
+{
+  call_assignment_no_alias(dst, src, func);
+}
+
+// by-pass "assume-aliasing"
+// When there is no aliasing, we require that 'dst' has been properly resized
+template<typename Dst, template <typename> class StorageBase, typename Src, typename Func>
+EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE
+void call_assignment(NoAlias<Dst,StorageBase>& dst, const Src& src, const Func& func)
+{
+  call_assignment_no_alias(dst.expression(), src, func);
+}
+
+
+template<typename Dst, typename Src, typename Func>
+EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE
+void call_assignment_no_alias(Dst& dst, const Src& src, const Func& func)
+{
+  enum {
+    NeedToTranspose = (    (int(Dst::RowsAtCompileTime) == 1 && int(Src::ColsAtCompileTime) == 1)
+                        || (int(Dst::ColsAtCompileTime) == 1 && int(Src::RowsAtCompileTime) == 1)
+                      ) && int(Dst::SizeAtCompileTime) != 1
+  };
+
+  typedef typename internal::conditional<NeedToTranspose, Transpose<Dst>, Dst>::type ActualDstTypeCleaned;
+  typedef typename internal::conditional<NeedToTranspose, Transpose<Dst>, Dst&>::type ActualDstType;
+  ActualDstType actualDst(dst);
+  
+  // TODO check whether this is the right place to perform these checks:
+  EIGEN_STATIC_ASSERT_LVALUE(Dst)
+  EIGEN_STATIC_ASSERT_SAME_MATRIX_SIZE(ActualDstTypeCleaned,Src)
+  EIGEN_CHECK_BINARY_COMPATIBILIY(Func,typename ActualDstTypeCleaned::Scalar,typename Src::Scalar);
+  
+  Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
+}
+template<typename Dst, typename Src>
+EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE
+void call_assignment_no_alias(Dst& dst, const Src& src)
+{
+  call_assignment_no_alias(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
+}
+
+template<typename Dst, typename Src, typename Func>
+EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE
+void call_assignment_no_alias_no_transpose(Dst& dst, const Src& src, const Func& func)
+{
+  // TODO check whether this is the right place to perform these checks:
+  EIGEN_STATIC_ASSERT_LVALUE(Dst)
+  EIGEN_STATIC_ASSERT_SAME_MATRIX_SIZE(Dst,Src)
+  EIGEN_CHECK_BINARY_COMPATIBILIY(Func,typename Dst::Scalar,typename Src::Scalar);
+
+  Assignment<Dst,Src,Func>::run(dst, src, func);
+}
+template<typename Dst, typename Src>
+EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE
+void call_assignment_no_alias_no_transpose(Dst& dst, const Src& src)
+{
+  call_assignment_no_alias_no_transpose(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
+}
+
+// forward declaration
+template<typename Dst, typename Src> void check_for_aliasing(const Dst &dst, const Src &src);
+
+// Generic Dense to Dense assignment
+// Note that the last template argument "Weak" is needed to make it possible to perform
+// both partial specialization+SFINAE without ambiguous specialization
+template< typename DstXprType, typename SrcXprType, typename Functor, typename Weak>
+struct Assignment<DstXprType, SrcXprType, Functor, Dense2Dense, Weak>
+{
+  EIGEN_DEVICE_FUNC
+  static EIGEN_STRONG_INLINE void run(DstXprType &dst, const SrcXprType &src, const Functor &func)
+  {
+#ifndef EIGEN_NO_DEBUG
+    internal::check_for_aliasing(dst, src);
+#endif
+    
+    call_dense_assignment_loop(dst, src, func);
+  }
+};
+
+// Generic assignment through evalTo.
+// TODO: not sure we have to keep that one, but it helps porting current code to new evaluator mechanism.
+// Note that the last template argument "Weak" is needed to make it possible to perform
+// both partial specialization+SFINAE without ambiguous specialization
+template< typename DstXprType, typename SrcXprType, typename Functor, typename Weak>
+struct Assignment<DstXprType, SrcXprType, Functor, EigenBase2EigenBase, Weak>
+{
+  EIGEN_DEVICE_FUNC
+  static EIGEN_STRONG_INLINE void run(DstXprType &dst, const SrcXprType &src, const internal::assign_op<typename DstXprType::Scalar,typename SrcXprType::Scalar> &/*func*/)
+  {
+    Index dstRows = src.rows();
+    Index dstCols = src.cols();
+    if((dst.rows()!=dstRows) || (dst.cols()!=dstCols))
+      dst.resize(dstRows, dstCols);
+
+    eigen_assert(dst.rows() == src.rows() && dst.cols() == src.cols());
+    src.evalTo(dst);
+  }
+
+  // NOTE The following two functions are templated to avoid their instanciation if not needed
+  //      This is needed because some expressions supports evalTo only and/or have 'void' as scalar type.
+  template<typename SrcScalarType>
+  EIGEN_DEVICE_FUNC
+  static EIGEN_STRONG_INLINE void run(DstXprType &dst, const SrcXprType &src, const internal::add_assign_op<typename DstXprType::Scalar,SrcScalarType> &/*func*/)
+  {
+    Index dstRows = src.rows();
+    Index dstCols = src.cols();
+    if((dst.rows()!=dstRows) || (dst.cols()!=dstCols))
+      dst.resize(dstRows, dstCols);
+
+    eigen_assert(dst.rows() == src.rows() && dst.cols() == src.cols());
+    src.addTo(dst);
+  }
+
+  template<typename SrcScalarType>
+  EIGEN_DEVICE_FUNC
+  static EIGEN_STRONG_INLINE void run(DstXprType &dst, const SrcXprType &src, const internal::sub_assign_op<typename DstXprType::Scalar,SrcScalarType> &/*func*/)
+  {
+    Index dstRows = src.rows();
+    Index dstCols = src.cols();
+    if((dst.rows()!=dstRows) || (dst.cols()!=dstCols))
+      dst.resize(dstRows, dstCols);
+
+    eigen_assert(dst.rows() == src.rows() && dst.cols() == src.cols());
+    src.subTo(dst);
+  }
+};
+
+} // namespace internal
+
+} // end namespace Eigen
+
+#endif // EIGEN_ASSIGN_EVALUATOR_H
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/ReturnByValue.h
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/ReturnByValue.h	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/ReturnByValue.h	(revision 3761)
@@ -0,0 +1,117 @@
+// This file is part of Eigen, a lightweight C++ template library
+// for linear algebra.
+//
+// Copyright (C) 2009-2010 Gael Guennebaud <gael.guennebaud@inria.fr>
+// Copyright (C) 2009-2010 Benoit Jacob <jacob.benoit.1@gmail.com>
+//
+// This Source Code Form is subject to the terms of the Mozilla
+// Public License v. 2.0. If a copy of the MPL was not distributed
+// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
+
+#ifndef EIGEN_RETURNBYVALUE_H
+#define EIGEN_RETURNBYVALUE_H
+
+namespace Eigen {
+
+namespace internal {
+
+template<typename Derived>
+struct traits<ReturnByValue<Derived> >
+  : public traits<typename traits<Derived>::ReturnType>
+{
+  enum {
+    // We're disabling the DirectAccess because e.g. the constructor of
+    // the Block-with-DirectAccess expression requires to have a coeffRef method.
+    // Also, we don't want to have to implement the stride stuff.
+    Flags = (traits<typename traits<Derived>::ReturnType>::Flags
+             | EvalBeforeNestingBit) & ~DirectAccessBit
+  };
+};
+
+/* The ReturnByValue object doesn't even have a coeff() method.
+ * So the only way that nesting it in an expression can work, is by evaluating it into a plain matrix.
+ * So internal::nested always gives the plain return matrix type.
+ *
+ * FIXME: I don't understand why we need this specialization: isn't this taken care of by the EvalBeforeNestingBit ??
+ * Answer: EvalBeforeNestingBit should be deprecated since we have the evaluators
+ */
+template<typename Derived,int n,typename PlainObject>
+struct nested_eval<ReturnByValue<Derived>, n, PlainObject>
+{
+  typedef typename traits<Derived>::ReturnType type;
+};
+
+} // end namespace internal
+
+/** \class ReturnByValue
+  * \ingroup Core_Module
+  *
+  */
+template<typename Derived> class ReturnByValue
+  : public internal::dense_xpr_base< ReturnByValue<Derived> >::type, internal::no_assignment_operator
+{
+  public:
+    typedef typename internal::traits<Derived>::ReturnType ReturnType;
+
+    typedef typename internal::dense_xpr_base<ReturnByValue>::type Base;
+    EIGEN_DENSE_PUBLIC_INTERFACE(ReturnByValue)
+
+    template<typename Dest>
+    EIGEN_DEVICE_FUNC
+    inline void evalTo(Dest& dst) const
+    { static_cast<const Derived*>(this)->evalTo(dst); }
+    EIGEN_DEVICE_FUNC inline Index rows() const { return static_cast<const Derived*>(this)->rows(); }
+    EIGEN_DEVICE_FUNC inline Index cols() const { return static_cast<const Derived*>(this)->cols(); }
+
+#ifndef EIGEN_PARSED_BY_DOXYGEN
+#define Unusable YOU_ARE_TRYING_TO_ACCESS_A_SINGLE_COEFFICIENT_IN_A_SPECIAL_EXPRESSION_WHERE_THAT_IS_NOT_ALLOWED_BECAUSE_THAT_WOULD_BE_INEFFICIENT
+    class Unusable{
+      Unusable(const Unusable&) {}
+      Unusable& operator=(const Unusable&) {return *this;}
+    };
+    const Unusable& coeff(Index) const { return *reinterpret_cast<const Unusable*>(this); }
+    const Unusable& coeff(Index,Index) const { return *reinterpret_cast<const Unusable*>(this); }
+    Unusable& coeffRef(Index) { return *reinterpret_cast<Unusable*>(this); }
+    Unusable& coeffRef(Index,Index) { return *reinterpret_cast<Unusable*>(this); }
+#undef Unusable
+#endif
+};
+
+template<typename Derived>
+template<typename OtherDerived>
+Derived& DenseBase<Derived>::operator=(const ReturnByValue<OtherDerived>& other)
+{
+  other.evalTo(derived());
+  return derived();
+}
+
+namespace internal {
+
+// Expression is evaluated in a temporary; default implementation of Assignment is bypassed so that
+// when a ReturnByValue expression is assigned, the evaluator is not constructed.
+// TODO: Finalize port to new regime; ReturnByValue should not exist in the expression world
+  
+template<typename Derived>
+struct evaluator<ReturnByValue<Derived> >
+  : public evaluator<typename internal::traits<Derived>::ReturnType>
+{
+  typedef ReturnByValue<Derived> XprType;
+  typedef typename internal::traits<Derived>::ReturnType PlainObject;
+  typedef evaluator<PlainObject> Base;
+  
+  EIGEN_DEVICE_FUNC explicit evaluator(const XprType& xpr)
+    : m_result(xpr.rows(), xpr.cols())
+  {
+    ::new (static_cast<Base*>(this)) Base(m_result);
+    xpr.evalTo(m_result);
+  }
+
+protected:
+  PlainObject m_result;
+};
+
+} // end namespace internal
+
+} // end namespace Eigen
+
+#endif // EIGEN_RETURNBYVALUE_H
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/Replicate.h
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/Replicate.h	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/Replicate.h	(revision 3761)
@@ -0,0 +1,142 @@
+// This file is part of Eigen, a lightweight C++ template library
+// for linear algebra.
+//
+// Copyright (C) 2009-2010 Gael Guennebaud <gael.guennebaud@inria.fr>
+//
+// This Source Code Form is subject to the terms of the Mozilla
+// Public License v. 2.0. If a copy of the MPL was not distributed
+// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
+
+#ifndef EIGEN_REPLICATE_H
+#define EIGEN_REPLICATE_H
+
+namespace Eigen { 
+
+namespace internal {
+template<typename MatrixType,int RowFactor,int ColFactor>
+struct traits<Replicate<MatrixType,RowFactor,ColFactor> >
+ : traits<MatrixType>
+{
+  typedef typename MatrixType::Scalar Scalar;
+  typedef typename traits<MatrixType>::StorageKind StorageKind;
+  typedef typename traits<MatrixType>::XprKind XprKind;
+  typedef typename ref_selector<MatrixType>::type MatrixTypeNested;
+  typedef typename remove_reference<MatrixTypeNested>::type _MatrixTypeNested;
+  enum {
+    RowsAtCompileTime = RowFactor==Dynamic || int(MatrixType::RowsAtCompileTime)==Dynamic
+                      ? Dynamic
+                      : RowFactor * MatrixType::RowsAtCompileTime,
+    ColsAtCompileTime = ColFactor==Dynamic || int(MatrixType::ColsAtCompileTime)==Dynamic
+                      ? Dynamic
+                      : ColFactor * MatrixType::ColsAtCompileTime,
+   //FIXME we don't propagate the max sizes !!!
+    MaxRowsAtCompileTime = RowsAtCompileTime,
+    MaxColsAtCompileTime = ColsAtCompileTime,
+    IsRowMajor = MaxRowsAtCompileTime==1 && MaxColsAtCompileTime!=1 ? 1
+               : MaxColsAtCompileTime==1 && MaxRowsAtCompileTime!=1 ? 0
+               : (MatrixType::Flags & RowMajorBit) ? 1 : 0,
+    
+    // FIXME enable DirectAccess with negative strides?
+    Flags = IsRowMajor ? RowMajorBit : 0
+  };
+};
+}
+
+/**
+  * \class Replicate
+  * \ingroup Core_Module
+  *
+  * \brief Expression of the multiple replication of a matrix or vector
+  *
+  * \tparam MatrixType the type of the object we are replicating
+  * \tparam RowFactor number of repetitions at compile time along the vertical direction, can be Dynamic.
+  * \tparam ColFactor number of repetitions at compile time along the horizontal direction, can be Dynamic.
+  *
+  * This class represents an expression of the multiple replication of a matrix or vector.
+  * It is the return type of DenseBase::replicate() and most of the time
+  * this is the only way it is used.
+  *
+  * \sa DenseBase::replicate()
+  */
+template<typename MatrixType,int RowFactor,int ColFactor> class Replicate
+  : public internal::dense_xpr_base< Replicate<MatrixType,RowFactor,ColFactor> >::type
+{
+    typedef typename internal::traits<Replicate>::MatrixTypeNested MatrixTypeNested;
+    typedef typename internal::traits<Replicate>::_MatrixTypeNested _MatrixTypeNested;
+  public:
+
+    typedef typename internal::dense_xpr_base<Replicate>::type Base;
+    EIGEN_DENSE_PUBLIC_INTERFACE(Replicate)
+    typedef typename internal::remove_all<MatrixType>::type NestedExpression;
+
+    template<typename OriginalMatrixType>
+    EIGEN_DEVICE_FUNC
+    inline explicit Replicate(const OriginalMatrixType& matrix)
+      : m_matrix(matrix), m_rowFactor(RowFactor), m_colFactor(ColFactor)
+    {
+      EIGEN_STATIC_ASSERT((internal::is_same<typename internal::remove_const<MatrixType>::type,OriginalMatrixType>::value),
+                          THE_MATRIX_OR_EXPRESSION_THAT_YOU_PASSED_DOES_NOT_HAVE_THE_EXPECTED_TYPE)
+      eigen_assert(RowFactor!=Dynamic && ColFactor!=Dynamic);
+    }
+
+    template<typename OriginalMatrixType>
+    EIGEN_DEVICE_FUNC
+    inline Replicate(const OriginalMatrixType& matrix, Index rowFactor, Index colFactor)
+      : m_matrix(matrix), m_rowFactor(rowFactor), m_colFactor(colFactor)
+    {
+      EIGEN_STATIC_ASSERT((internal::is_same<typename internal::remove_const<MatrixType>::type,OriginalMatrixType>::value),
+                          THE_MATRIX_OR_EXPRESSION_THAT_YOU_PASSED_DOES_NOT_HAVE_THE_EXPECTED_TYPE)
+    }
+
+    EIGEN_DEVICE_FUNC
+    inline Index rows() const { return m_matrix.rows() * m_rowFactor.value(); }
+    EIGEN_DEVICE_FUNC
+    inline Index cols() const { return m_matrix.cols() * m_colFactor.value(); }
+
+    EIGEN_DEVICE_FUNC
+    const _MatrixTypeNested& nestedExpression() const
+    { 
+      return m_matrix; 
+    }
+
+  protected:
+    MatrixTypeNested m_matrix;
+    const internal::variable_if_dynamic<Index, RowFactor> m_rowFactor;
+    const internal::variable_if_dynamic<Index, ColFactor> m_colFactor;
+};
+
+/**
+  * \return an expression of the replication of \c *this
+  *
+  * Example: \include MatrixBase_replicate.cpp
+  * Output: \verbinclude MatrixBase_replicate.out
+  *
+  * \sa VectorwiseOp::replicate(), DenseBase::replicate(Index,Index), class Replicate
+  */
+template<typename Derived>
+template<int RowFactor, int ColFactor>
+const Replicate<Derived,RowFactor,ColFactor>
+DenseBase<Derived>::replicate() const
+{
+  return Replicate<Derived,RowFactor,ColFactor>(derived());
+}
+
+/**
+  * \return an expression of the replication of each column (or row) of \c *this
+  *
+  * Example: \include DirectionWise_replicate_int.cpp
+  * Output: \verbinclude DirectionWise_replicate_int.out
+  *
+  * \sa VectorwiseOp::replicate(), DenseBase::replicate(), class Replicate
+  */
+template<typename ExpressionType, int Direction>
+const typename VectorwiseOp<ExpressionType,Direction>::ReplicateReturnType
+VectorwiseOp<ExpressionType,Direction>::replicate(Index factor) const
+{
+  return typename VectorwiseOp<ExpressionType,Direction>::ReplicateReturnType
+          (_expression(),Direction==Vertical?factor:1,Direction==Horizontal?factor:1);
+}
+
+} // end namespace Eigen
+
+#endif // EIGEN_REPLICATE_H
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/Diagonal.h
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/Diagonal.h	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/Diagonal.h	(revision 3761)
@@ -0,0 +1,260 @@
+// This file is part of Eigen, a lightweight C++ template library
+// for linear algebra.
+//
+// Copyright (C) 2007-2009 Benoit Jacob <jacob.benoit.1@gmail.com>
+// Copyright (C) 2009-2010 Gael Guennebaud <gael.guennebaud@inria.fr>
+//
+// This Source Code Form is subject to the terms of the Mozilla
+// Public License v. 2.0. If a copy of the MPL was not distributed
+// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
+
+#ifndef EIGEN_DIAGONAL_H
+#define EIGEN_DIAGONAL_H
+
+namespace Eigen { 
+
+/** \class Diagonal
+  * \ingroup Core_Module
+  *
+  * \brief Expression of a diagonal/subdiagonal/superdiagonal in a matrix
+  *
+  * \param MatrixType the type of the object in which we are taking a sub/main/super diagonal
+  * \param DiagIndex the index of the sub/super diagonal. The default is 0 and it means the main diagonal.
+  *              A positive value means a superdiagonal, a negative value means a subdiagonal.
+  *              You can also use DynamicIndex so the index can be set at runtime.
+  *
+  * The matrix is not required to be square.
+  *
+  * This class represents an expression of the main diagonal, or any sub/super diagonal
+  * of a square matrix. It is the return type of MatrixBase::diagonal() and MatrixBase::diagonal(Index) and most of the
+  * time this is the only way it is used.
+  *
+  * \sa MatrixBase::diagonal(), MatrixBase::diagonal(Index)
+  */
+
+namespace internal {
+template<typename MatrixType, int DiagIndex>
+struct traits<Diagonal<MatrixType,DiagIndex> >
+ : traits<MatrixType>
+{
+  typedef typename ref_selector<MatrixType>::type MatrixTypeNested;
+  typedef typename remove_reference<MatrixTypeNested>::type _MatrixTypeNested;
+  typedef typename MatrixType::StorageKind StorageKind;
+  enum {
+    RowsAtCompileTime = (int(DiagIndex) == DynamicIndex || int(MatrixType::SizeAtCompileTime) == Dynamic) ? Dynamic
+                      : (EIGEN_PLAIN_ENUM_MIN(MatrixType::RowsAtCompileTime - EIGEN_PLAIN_ENUM_MAX(-DiagIndex, 0),
+                                              MatrixType::ColsAtCompileTime - EIGEN_PLAIN_ENUM_MAX( DiagIndex, 0))),
+    ColsAtCompileTime = 1,
+    MaxRowsAtCompileTime = int(MatrixType::MaxSizeAtCompileTime) == Dynamic ? Dynamic
+                         : DiagIndex == DynamicIndex ? EIGEN_SIZE_MIN_PREFER_FIXED(MatrixType::MaxRowsAtCompileTime,
+                                                                              MatrixType::MaxColsAtCompileTime)
+                         : (EIGEN_PLAIN_ENUM_MIN(MatrixType::MaxRowsAtCompileTime - EIGEN_PLAIN_ENUM_MAX(-DiagIndex, 0),
+                                                 MatrixType::MaxColsAtCompileTime - EIGEN_PLAIN_ENUM_MAX( DiagIndex, 0))),
+    MaxColsAtCompileTime = 1,
+    MaskLvalueBit = is_lvalue<MatrixType>::value ? LvalueBit : 0,
+    Flags = (unsigned int)_MatrixTypeNested::Flags & (RowMajorBit | MaskLvalueBit | DirectAccessBit) & ~RowMajorBit, // FIXME DirectAccessBit should not be handled by expressions
+    MatrixTypeOuterStride = outer_stride_at_compile_time<MatrixType>::ret,
+    InnerStrideAtCompileTime = MatrixTypeOuterStride == Dynamic ? Dynamic : MatrixTypeOuterStride+1,
+    OuterStrideAtCompileTime = 0
+  };
+};
+}
+
+template<typename MatrixType, int _DiagIndex> class Diagonal
+   : public internal::dense_xpr_base< Diagonal<MatrixType,_DiagIndex> >::type
+{
+  public:
+
+    enum { DiagIndex = _DiagIndex };
+    typedef typename internal::dense_xpr_base<Diagonal>::type Base;
+    EIGEN_DENSE_PUBLIC_INTERFACE(Diagonal)
+
+    EIGEN_DEVICE_FUNC
+    explicit inline Diagonal(MatrixType& matrix, Index a_index = DiagIndex) : m_matrix(matrix), m_index(a_index)
+    {
+      eigen_assert( a_index <= m_matrix.cols() && -a_index <= m_matrix.rows() );
+    }
+
+    EIGEN_INHERIT_ASSIGNMENT_OPERATORS(Diagonal)
+
+    EIGEN_DEVICE_FUNC
+    inline Index rows() const
+    {
+      return m_index.value()<0 ? numext::mini<Index>(m_matrix.cols(),m_matrix.rows()+m_index.value())
+                               : numext::mini<Index>(m_matrix.rows(),m_matrix.cols()-m_index.value());
+    }
+
+    EIGEN_DEVICE_FUNC
+    inline Index cols() const { return 1; }
+
+    EIGEN_DEVICE_FUNC
+    inline Index innerStride() const
+    {
+      return m_matrix.outerStride() + 1;
+    }
+
+    EIGEN_DEVICE_FUNC
+    inline Index outerStride() const
+    {
+      return 0;
+    }
+
+    typedef typename internal::conditional<
+                       internal::is_lvalue<MatrixType>::value,
+                       Scalar,
+                       const Scalar
+                     >::type ScalarWithConstIfNotLvalue;
+
+    EIGEN_DEVICE_FUNC
+    inline ScalarWithConstIfNotLvalue* data() { return &(m_matrix.coeffRef(rowOffset(), colOffset())); }
+    EIGEN_DEVICE_FUNC
+    inline const Scalar* data() const { return &(m_matrix.coeffRef(rowOffset(), colOffset())); }
+
+    EIGEN_DEVICE_FUNC
+    inline Scalar& coeffRef(Index row, Index)
+    {
+      EIGEN_STATIC_ASSERT_LVALUE(MatrixType)
+      return m_matrix.coeffRef(row+rowOffset(), row+colOffset());
+    }
+
+    EIGEN_DEVICE_FUNC
+    inline const Scalar& coeffRef(Index row, Index) const
+    {
+      return m_matrix.coeffRef(row+rowOffset(), row+colOffset());
+    }
+
+    EIGEN_DEVICE_FUNC
+    inline CoeffReturnType coeff(Index row, Index) const
+    {
+      return m_matrix.coeff(row+rowOffset(), row+colOffset());
+    }
+
+    EIGEN_DEVICE_FUNC
+    inline Scalar& coeffRef(Index idx)
+    {
+      EIGEN_STATIC_ASSERT_LVALUE(MatrixType)
+      return m_matrix.coeffRef(idx+rowOffset(), idx+colOffset());
+    }
+
+    EIGEN_DEVICE_FUNC
+    inline const Scalar& coeffRef(Index idx) const
+    {
+      return m_matrix.coeffRef(idx+rowOffset(), idx+colOffset());
+    }
+
+    EIGEN_DEVICE_FUNC
+    inline CoeffReturnType coeff(Index idx) const
+    {
+      return m_matrix.coeff(idx+rowOffset(), idx+colOffset());
+    }
+
+    EIGEN_DEVICE_FUNC
+    inline const typename internal::remove_all<typename MatrixType::Nested>::type& 
+    nestedExpression() const 
+    {
+      return m_matrix;
+    }
+
+    EIGEN_DEVICE_FUNC
+    inline Index index() const
+    {
+      return m_index.value();
+    }
+
+  protected:
+    typename internal::ref_selector<MatrixType>::non_const_type m_matrix;
+    const internal::variable_if_dynamicindex<Index, DiagIndex> m_index;
+
+  private:
+    // some compilers may fail to optimize std::max etc in case of compile-time constants...
+    EIGEN_DEVICE_FUNC
+    EIGEN_STRONG_INLINE Index absDiagIndex() const { return m_index.value()>0 ? m_index.value() : -m_index.value(); }
+    EIGEN_DEVICE_FUNC
+    EIGEN_STRONG_INLINE Index rowOffset() const { return m_index.value()>0 ? 0 : -m_index.value(); }
+    EIGEN_DEVICE_FUNC
+    EIGEN_STRONG_INLINE Index colOffset() const { return m_index.value()>0 ? m_index.value() : 0; }
+    // trigger a compile-time error if someone try to call packet
+    template<int LoadMode> typename MatrixType::PacketReturnType packet(Index) const;
+    template<int LoadMode> typename MatrixType::PacketReturnType packet(Index,Index) const;
+};
+
+/** \returns an expression of the main diagonal of the matrix \c *this
+  *
+  * \c *this is not required to be square.
+  *
+  * Example: \include MatrixBase_diagonal.cpp
+  * Output: \verbinclude MatrixBase_diagonal.out
+  *
+  * \sa class Diagonal */
+template<typename Derived>
+inline typename MatrixBase<Derived>::DiagonalReturnType
+MatrixBase<Derived>::diagonal()
+{
+  return DiagonalReturnType(derived());
+}
+
+/** This is the const version of diagonal(). */
+template<typename Derived>
+inline typename MatrixBase<Derived>::ConstDiagonalReturnType
+MatrixBase<Derived>::diagonal() const
+{
+  return ConstDiagonalReturnType(derived());
+}
+
+/** \returns an expression of the \a DiagIndex-th sub or super diagonal of the matrix \c *this
+  *
+  * \c *this is not required to be square.
+  *
+  * The template parameter \a DiagIndex represent a super diagonal if \a DiagIndex > 0
+  * and a sub diagonal otherwise. \a DiagIndex == 0 is equivalent to the main diagonal.
+  *
+  * Example: \include MatrixBase_diagonal_int.cpp
+  * Output: \verbinclude MatrixBase_diagonal_int.out
+  *
+  * \sa MatrixBase::diagonal(), class Diagonal */
+template<typename Derived>
+inline typename MatrixBase<Derived>::DiagonalDynamicIndexReturnType
+MatrixBase<Derived>::diagonal(Index index)
+{
+  return DiagonalDynamicIndexReturnType(derived(), index);
+}
+
+/** This is the const version of diagonal(Index). */
+template<typename Derived>
+inline typename MatrixBase<Derived>::ConstDiagonalDynamicIndexReturnType
+MatrixBase<Derived>::diagonal(Index index) const
+{
+  return ConstDiagonalDynamicIndexReturnType(derived(), index);
+}
+
+/** \returns an expression of the \a DiagIndex-th sub or super diagonal of the matrix \c *this
+  *
+  * \c *this is not required to be square.
+  *
+  * The template parameter \a DiagIndex represent a super diagonal if \a DiagIndex > 0
+  * and a sub diagonal otherwise. \a DiagIndex == 0 is equivalent to the main diagonal.
+  *
+  * Example: \include MatrixBase_diagonal_template_int.cpp
+  * Output: \verbinclude MatrixBase_diagonal_template_int.out
+  *
+  * \sa MatrixBase::diagonal(), class Diagonal */
+template<typename Derived>
+template<int Index_>
+inline typename MatrixBase<Derived>::template DiagonalIndexReturnType<Index_>::Type
+MatrixBase<Derived>::diagonal()
+{
+  return typename DiagonalIndexReturnType<Index_>::Type(derived());
+}
+
+/** This is the const version of diagonal<int>(). */
+template<typename Derived>
+template<int Index_>
+inline typename MatrixBase<Derived>::template ConstDiagonalIndexReturnType<Index_>::Type
+MatrixBase<Derived>::diagonal() const
+{
+  return typename ConstDiagonalIndexReturnType<Index_>::Type(derived());
+}
+
+} // end namespace Eigen
+
+#endif // EIGEN_DIAGONAL_H
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/GenericPacketMath.h
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/GenericPacketMath.h	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/GenericPacketMath.h	(revision 3761)
@@ -0,0 +1,590 @@
+// This file is part of Eigen, a lightweight C++ template library
+// for linear algebra.
+//
+// Copyright (C) 2008 Gael Guennebaud <gael.guennebaud@inria.fr>
+// Copyright (C) 2006-2008 Benoit Jacob <jacob.benoit.1@gmail.com>
+//
+// This Source Code Form is subject to the terms of the Mozilla
+// Public License v. 2.0. If a copy of the MPL was not distributed
+// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
+
+#ifndef EIGEN_GENERIC_PACKET_MATH_H
+#define EIGEN_GENERIC_PACKET_MATH_H
+
+namespace Eigen {
+
+namespace internal {
+
+/** \internal
+  * \file GenericPacketMath.h
+  *
+  * Default implementation for types not supported by the vectorization.
+  * In practice these functions are provided to make easier the writing
+  * of generic vectorized code.
+  */
+
+#ifndef EIGEN_DEBUG_ALIGNED_LOAD
+#define EIGEN_DEBUG_ALIGNED_LOAD
+#endif
+
+#ifndef EIGEN_DEBUG_UNALIGNED_LOAD
+#define EIGEN_DEBUG_UNALIGNED_LOAD
+#endif
+
+#ifndef EIGEN_DEBUG_ALIGNED_STORE
+#define EIGEN_DEBUG_ALIGNED_STORE
+#endif
+
+#ifndef EIGEN_DEBUG_UNALIGNED_STORE
+#define EIGEN_DEBUG_UNALIGNED_STORE
+#endif
+
+struct default_packet_traits
+{
+  enum {
+    HasHalfPacket = 0,
+
+    HasAdd    = 1,
+    HasSub    = 1,
+    HasMul    = 1,
+    HasNegate = 1,
+    HasAbs    = 1,
+    HasArg    = 0,
+    HasAbs2   = 1,
+    HasMin    = 1,
+    HasMax    = 1,
+    HasConj   = 1,
+    HasSetLinear = 1,
+    HasBlend  = 0,
+
+    HasDiv    = 0,
+    HasSqrt   = 0,
+    HasRsqrt  = 0,
+    HasExp    = 0,
+    HasLog    = 0,
+    HasLog1p  = 0,
+    HasLog10  = 0,
+    HasPow    = 0,
+
+    HasSin    = 0,
+    HasCos    = 0,
+    HasTan    = 0,
+    HasASin   = 0,
+    HasACos   = 0,
+    HasATan   = 0,
+    HasSinh   = 0,
+    HasCosh   = 0,
+    HasTanh   = 0,
+    HasLGamma = 0,
+    HasDiGamma = 0,
+    HasZeta = 0,
+    HasPolygamma = 0,
+    HasErf = 0,
+    HasErfc = 0,
+    HasIGamma = 0,
+    HasIGammac = 0,
+    HasBetaInc = 0,
+
+    HasRound  = 0,
+    HasFloor  = 0,
+    HasCeil   = 0,
+
+    HasSign   = 0
+  };
+};
+
+template<typename T> struct packet_traits : default_packet_traits
+{
+  typedef T type;
+  typedef T half;
+  enum {
+    Vectorizable = 0,
+    size = 1,
+    AlignedOnScalar = 0,
+    HasHalfPacket = 0
+  };
+  enum {
+    HasAdd    = 0,
+    HasSub    = 0,
+    HasMul    = 0,
+    HasNegate = 0,
+    HasAbs    = 0,
+    HasAbs2   = 0,
+    HasMin    = 0,
+    HasMax    = 0,
+    HasConj   = 0,
+    HasSetLinear = 0
+  };
+};
+
+template<typename T> struct packet_traits<const T> : packet_traits<T> { };
+
+template <typename Src, typename Tgt> struct type_casting_traits {
+  enum {
+    VectorizedCast = 0,
+    SrcCoeffRatio = 1,
+    TgtCoeffRatio = 1
+  };
+};
+
+
+/** \internal \returns static_cast<TgtType>(a) (coeff-wise) */
+template <typename SrcPacket, typename TgtPacket>
+EIGEN_DEVICE_FUNC inline TgtPacket
+pcast(const SrcPacket& a) {
+  return static_cast<TgtPacket>(a);
+}
+template <typename SrcPacket, typename TgtPacket>
+EIGEN_DEVICE_FUNC inline TgtPacket
+pcast(const SrcPacket& a, const SrcPacket& /*b*/) {
+  return static_cast<TgtPacket>(a);
+}
+
+template <typename SrcPacket, typename TgtPacket>
+EIGEN_DEVICE_FUNC inline TgtPacket
+pcast(const SrcPacket& a, const SrcPacket& /*b*/, const SrcPacket& /*c*/, const SrcPacket& /*d*/) {
+  return static_cast<TgtPacket>(a);
+}
+
+/** \internal \returns a + b (coeff-wise) */
+template<typename Packet> EIGEN_DEVICE_FUNC inline Packet
+padd(const Packet& a,
+        const Packet& b) { return a+b; }
+
+/** \internal \returns a - b (coeff-wise) */
+template<typename Packet> EIGEN_DEVICE_FUNC inline Packet
+psub(const Packet& a,
+        const Packet& b) { return a-b; }
+
+/** \internal \returns -a (coeff-wise) */
+template<typename Packet> EIGEN_DEVICE_FUNC inline Packet
+pnegate(const Packet& a) { return -a; }
+
+/** \internal \returns conj(a) (coeff-wise) */
+
+template<typename Packet> EIGEN_DEVICE_FUNC inline Packet
+pconj(const Packet& a) { return numext::conj(a); }
+
+/** \internal \returns a * b (coeff-wise) */
+template<typename Packet> EIGEN_DEVICE_FUNC inline Packet
+pmul(const Packet& a,
+        const Packet& b) { return a*b; }
+
+/** \internal \returns a / b (coeff-wise) */
+template<typename Packet> EIGEN_DEVICE_FUNC inline Packet
+pdiv(const Packet& a,
+        const Packet& b) { return a/b; }
+
+/** \internal \returns the min of \a a and \a b  (coeff-wise) */
+template<typename Packet> EIGEN_DEVICE_FUNC inline Packet
+pmin(const Packet& a,
+        const Packet& b) { return numext::mini(a, b); }
+
+/** \internal \returns the max of \a a and \a b  (coeff-wise) */
+template<typename Packet> EIGEN_DEVICE_FUNC inline Packet
+pmax(const Packet& a,
+        const Packet& b) { return numext::maxi(a, b); }
+
+/** \internal \returns the absolute value of \a a */
+template<typename Packet> EIGEN_DEVICE_FUNC inline Packet
+pabs(const Packet& a) { using std::abs; return abs(a); }
+
+/** \internal \returns the phase angle of \a a */
+template<typename Packet> EIGEN_DEVICE_FUNC inline Packet
+parg(const Packet& a) { using numext::arg; return arg(a); }
+
+/** \internal \returns the bitwise and of \a a and \a b */
+template<typename Packet> EIGEN_DEVICE_FUNC inline Packet
+pand(const Packet& a, const Packet& b) { return a & b; }
+
+/** \internal \returns the bitwise or of \a a and \a b */
+template<typename Packet> EIGEN_DEVICE_FUNC inline Packet
+por(const Packet& a, const Packet& b) { return a | b; }
+
+/** \internal \returns the bitwise xor of \a a and \a b */
+template<typename Packet> EIGEN_DEVICE_FUNC inline Packet
+pxor(const Packet& a, const Packet& b) { return a ^ b; }
+
+/** \internal \returns the bitwise andnot of \a a and \a b */
+template<typename Packet> EIGEN_DEVICE_FUNC inline Packet
+pandnot(const Packet& a, const Packet& b) { return a & (!b); }
+
+/** \internal \returns a packet version of \a *from, from must be 16 bytes aligned */
+template<typename Packet> EIGEN_DEVICE_FUNC inline Packet
+pload(const typename unpacket_traits<Packet>::type* from) { return *from; }
+
+/** \internal \returns a packet version of \a *from, (un-aligned load) */
+template<typename Packet> EIGEN_DEVICE_FUNC inline Packet
+ploadu(const typename unpacket_traits<Packet>::type* from) { return *from; }
+
+/** \internal \returns a packet with constant coefficients \a a, e.g.: (a,a,a,a) */
+template<typename Packet> EIGEN_DEVICE_FUNC inline Packet
+pset1(const typename unpacket_traits<Packet>::type& a) { return a; }
+
+/** \internal \returns a packet with constant coefficients \a a[0], e.g.: (a[0],a[0],a[0],a[0]) */
+template<typename Packet> EIGEN_DEVICE_FUNC inline Packet
+pload1(const typename unpacket_traits<Packet>::type  *a) { return pset1<Packet>(*a); }
+
+/** \internal \returns a packet with elements of \a *from duplicated.
+  * For instance, for a packet of 8 elements, 4 scalars will be read from \a *from and
+  * duplicated to form: {from[0],from[0],from[1],from[1],from[2],from[2],from[3],from[3]}
+  * Currently, this function is only used for scalar * complex products.
+  */
+template<typename Packet> EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE Packet
+ploaddup(const typename unpacket_traits<Packet>::type* from) { return *from; }
+
+/** \internal \returns a packet with elements of \a *from quadrupled.
+  * For instance, for a packet of 8 elements, 2 scalars will be read from \a *from and
+  * replicated to form: {from[0],from[0],from[0],from[0],from[1],from[1],from[1],from[1]}
+  * Currently, this function is only used in matrix products.
+  * For packet-size smaller or equal to 4, this function is equivalent to pload1 
+  */
+template<typename Packet> EIGEN_DEVICE_FUNC inline Packet
+ploadquad(const typename unpacket_traits<Packet>::type* from)
+{ return pload1<Packet>(from); }
+
+/** \internal equivalent to
+  * \code
+  * a0 = pload1(a+0);
+  * a1 = pload1(a+1);
+  * a2 = pload1(a+2);
+  * a3 = pload1(a+3);
+  * \endcode
+  * \sa pset1, pload1, ploaddup, pbroadcast2
+  */
+template<typename Packet> EIGEN_DEVICE_FUNC
+inline void pbroadcast4(const typename unpacket_traits<Packet>::type *a,
+                        Packet& a0, Packet& a1, Packet& a2, Packet& a3)
+{
+  a0 = pload1<Packet>(a+0);
+  a1 = pload1<Packet>(a+1);
+  a2 = pload1<Packet>(a+2);
+  a3 = pload1<Packet>(a+3);
+}
+
+/** \internal equivalent to
+  * \code
+  * a0 = pload1(a+0);
+  * a1 = pload1(a+1);
+  * \endcode
+  * \sa pset1, pload1, ploaddup, pbroadcast4
+  */
+template<typename Packet> EIGEN_DEVICE_FUNC
+inline void pbroadcast2(const typename unpacket_traits<Packet>::type *a,
+                        Packet& a0, Packet& a1)
+{
+  a0 = pload1<Packet>(a+0);
+  a1 = pload1<Packet>(a+1);
+}
+
+/** \internal \brief Returns a packet with coefficients (a,a+1,...,a+packet_size-1). */
+template<typename Packet> EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE Packet
+plset(const typename unpacket_traits<Packet>::type& a) { return a; }
+
+/** \internal copy the packet \a from to \a *to, \a to must be 16 bytes aligned */
+template<typename Scalar, typename Packet> EIGEN_DEVICE_FUNC inline void pstore(Scalar* to, const Packet& from)
+{ (*to) = from; }
+
+/** \internal copy the packet \a from to \a *to, (un-aligned store) */
+template<typename Scalar, typename Packet> EIGEN_DEVICE_FUNC inline void pstoreu(Scalar* to, const Packet& from)
+{  (*to) = from; }
+
+ template<typename Scalar, typename Packet> EIGEN_DEVICE_FUNC inline Packet pgather(const Scalar* from, Index /*stride*/)
+ { return ploadu<Packet>(from); }
+
+ template<typename Scalar, typename Packet> EIGEN_DEVICE_FUNC inline void pscatter(Scalar* to, const Packet& from, Index /*stride*/)
+ { pstore(to, from); }
+
+/** \internal tries to do cache prefetching of \a addr */
+template<typename Scalar> EIGEN_DEVICE_FUNC inline void prefetch(const Scalar* addr)
+{
+#ifdef __CUDA_ARCH__
+#if defined(__LP64__)
+  // 64-bit pointer operand constraint for inlined asm
+  asm(" prefetch.L1 [ %1 ];" : "=l"(addr) : "l"(addr));
+#else
+  // 32-bit pointer operand constraint for inlined asm
+  asm(" prefetch.L1 [ %1 ];" : "=r"(addr) : "r"(addr));
+#endif
+#elif (!EIGEN_COMP_MSVC) && (EIGEN_COMP_GNUC || EIGEN_COMP_CLANG || EIGEN_COMP_ICC)
+  __builtin_prefetch(addr);
+#endif
+}
+
+/** \internal \returns the first element of a packet */
+template<typename Packet> EIGEN_DEVICE_FUNC inline typename unpacket_traits<Packet>::type pfirst(const Packet& a)
+{ return a; }
+
+/** \internal \returns a packet where the element i contains the sum of the packet of \a vec[i] */
+template<typename Packet> EIGEN_DEVICE_FUNC inline Packet
+preduxp(const Packet* vecs) { return vecs[0]; }
+
+/** \internal \returns the sum of the elements of \a a*/
+template<typename Packet> EIGEN_DEVICE_FUNC inline typename unpacket_traits<Packet>::type predux(const Packet& a)
+{ return a; }
+
+/** \internal \returns the sum of the elements of \a a by block of 4 elements.
+  * For a packet {a0, a1, a2, a3, a4, a5, a6, a7}, it returns a half packet {a0+a4, a1+a5, a2+a6, a3+a7}
+  * For packet-size smaller or equal to 4, this boils down to a noop.
+  */
+template<typename Packet> EIGEN_DEVICE_FUNC inline
+typename conditional<(unpacket_traits<Packet>::size%8)==0,typename unpacket_traits<Packet>::half,Packet>::type
+predux_downto4(const Packet& a)
+{ return a; }
+
+/** \internal \returns the product of the elements of \a a*/
+template<typename Packet> EIGEN_DEVICE_FUNC inline typename unpacket_traits<Packet>::type predux_mul(const Packet& a)
+{ return a; }
+
+/** \internal \returns the min of the elements of \a a*/
+template<typename Packet> EIGEN_DEVICE_FUNC inline typename unpacket_traits<Packet>::type predux_min(const Packet& a)
+{ return a; }
+
+/** \internal \returns the max of the elements of \a a*/
+template<typename Packet> EIGEN_DEVICE_FUNC inline typename unpacket_traits<Packet>::type predux_max(const Packet& a)
+{ return a; }
+
+/** \internal \returns the reversed elements of \a a*/
+template<typename Packet> EIGEN_DEVICE_FUNC inline Packet preverse(const Packet& a)
+{ return a; }
+
+/** \internal \returns \a a with real and imaginary part flipped (for complex type only) */
+template<typename Packet> EIGEN_DEVICE_FUNC inline Packet pcplxflip(const Packet& a)
+{
+  return Packet(a.imag(),a.real());
+}
+
+/**************************
+* Special math functions
+***************************/
+
+/** \internal \returns the sine of \a a (coeff-wise) */
+template<typename Packet> EIGEN_DECLARE_FUNCTION_ALLOWING_MULTIPLE_DEFINITIONS
+Packet psin(const Packet& a) { using std::sin; return sin(a); }
+
+/** \internal \returns the cosine of \a a (coeff-wise) */
+template<typename Packet> EIGEN_DECLARE_FUNCTION_ALLOWING_MULTIPLE_DEFINITIONS
+Packet pcos(const Packet& a) { using std::cos; return cos(a); }
+
+/** \internal \returns the tan of \a a (coeff-wise) */
+template<typename Packet> EIGEN_DECLARE_FUNCTION_ALLOWING_MULTIPLE_DEFINITIONS
+Packet ptan(const Packet& a) { using std::tan; return tan(a); }
+
+/** \internal \returns the arc sine of \a a (coeff-wise) */
+template<typename Packet> EIGEN_DECLARE_FUNCTION_ALLOWING_MULTIPLE_DEFINITIONS
+Packet pasin(const Packet& a) { using std::asin; return asin(a); }
+
+/** \internal \returns the arc cosine of \a a (coeff-wise) */
+template<typename Packet> EIGEN_DECLARE_FUNCTION_ALLOWING_MULTIPLE_DEFINITIONS
+Packet pacos(const Packet& a) { using std::acos; return acos(a); }
+
+/** \internal \returns the arc tangent of \a a (coeff-wise) */
+template<typename Packet> EIGEN_DECLARE_FUNCTION_ALLOWING_MULTIPLE_DEFINITIONS
+Packet patan(const Packet& a) { using std::atan; return atan(a); }
+
+/** \internal \returns the hyperbolic sine of \a a (coeff-wise) */
+template<typename Packet> EIGEN_DECLARE_FUNCTION_ALLOWING_MULTIPLE_DEFINITIONS
+Packet psinh(const Packet& a) { using std::sinh; return sinh(a); }
+
+/** \internal \returns the hyperbolic cosine of \a a (coeff-wise) */
+template<typename Packet> EIGEN_DECLARE_FUNCTION_ALLOWING_MULTIPLE_DEFINITIONS
+Packet pcosh(const Packet& a) { using std::cosh; return cosh(a); }
+
+/** \internal \returns the hyperbolic tan of \a a (coeff-wise) */
+template<typename Packet> EIGEN_DECLARE_FUNCTION_ALLOWING_MULTIPLE_DEFINITIONS
+Packet ptanh(const Packet& a) { using std::tanh; return tanh(a); }
+
+/** \internal \returns the exp of \a a (coeff-wise) */
+template<typename Packet> EIGEN_DECLARE_FUNCTION_ALLOWING_MULTIPLE_DEFINITIONS
+Packet pexp(const Packet& a) { using std::exp; return exp(a); }
+
+/** \internal \returns the log of \a a (coeff-wise) */
+template<typename Packet> EIGEN_DECLARE_FUNCTION_ALLOWING_MULTIPLE_DEFINITIONS
+Packet plog(const Packet& a) { using std::log; return log(a); }
+
+/** \internal \returns the log1p of \a a (coeff-wise) */
+template<typename Packet> EIGEN_DECLARE_FUNCTION_ALLOWING_MULTIPLE_DEFINITIONS
+Packet plog1p(const Packet& a) { return numext::log1p(a); }
+
+/** \internal \returns the log10 of \a a (coeff-wise) */
+template<typename Packet> EIGEN_DECLARE_FUNCTION_ALLOWING_MULTIPLE_DEFINITIONS
+Packet plog10(const Packet& a) { using std::log10; return log10(a); }
+
+/** \internal \returns the square-root of \a a (coeff-wise) */
+template<typename Packet> EIGEN_DECLARE_FUNCTION_ALLOWING_MULTIPLE_DEFINITIONS
+Packet psqrt(const Packet& a) { using std::sqrt; return sqrt(a); }
+
+/** \internal \returns the reciprocal square-root of \a a (coeff-wise) */
+template<typename Packet> EIGEN_DECLARE_FUNCTION_ALLOWING_MULTIPLE_DEFINITIONS
+Packet prsqrt(const Packet& a) {
+  return pdiv(pset1<Packet>(1), psqrt(a));
+}
+
+/** \internal \returns the rounded value of \a a (coeff-wise) */
+template<typename Packet> EIGEN_DECLARE_FUNCTION_ALLOWING_MULTIPLE_DEFINITIONS
+Packet pround(const Packet& a) { using numext::round; return round(a); }
+
+/** \internal \returns the floor of \a a (coeff-wise) */
+template<typename Packet> EIGEN_DECLARE_FUNCTION_ALLOWING_MULTIPLE_DEFINITIONS
+Packet pfloor(const Packet& a) { using numext::floor; return floor(a); }
+
+/** \internal \returns the ceil of \a a (coeff-wise) */
+template<typename Packet> EIGEN_DECLARE_FUNCTION_ALLOWING_MULTIPLE_DEFINITIONS
+Packet pceil(const Packet& a) { using numext::ceil; return ceil(a); }
+
+/***************************************************************************
+* The following functions might not have to be overwritten for vectorized types
+***************************************************************************/
+
+/** \internal copy a packet with constant coeficient \a a (e.g., [a,a,a,a]) to \a *to. \a to must be 16 bytes aligned */
+// NOTE: this function must really be templated on the packet type (think about different packet types for the same scalar type)
+template<typename Packet>
+inline void pstore1(typename unpacket_traits<Packet>::type* to, const typename unpacket_traits<Packet>::type& a)
+{
+  pstore(to, pset1<Packet>(a));
+}
+
+/** \internal \returns a * b + c (coeff-wise) */
+template<typename Packet> EIGEN_DEVICE_FUNC inline Packet
+pmadd(const Packet&  a,
+         const Packet&  b,
+         const Packet&  c)
+{ return padd(pmul(a, b),c); }
+
+/** \internal \returns a packet version of \a *from.
+  * The pointer \a from must be aligned on a \a Alignment bytes boundary. */
+template<typename Packet, int Alignment>
+EIGEN_DEVICE_FUNC EIGEN_ALWAYS_INLINE Packet ploadt(const typename unpacket_traits<Packet>::type* from)
+{
+  if(Alignment >= unpacket_traits<Packet>::alignment)
+    return pload<Packet>(from);
+  else
+    return ploadu<Packet>(from);
+}
+
+/** \internal copy the packet \a from to \a *to.
+  * The pointer \a from must be aligned on a \a Alignment bytes boundary. */
+template<typename Scalar, typename Packet, int Alignment>
+EIGEN_DEVICE_FUNC EIGEN_ALWAYS_INLINE void pstoret(Scalar* to, const Packet& from)
+{
+  if(Alignment >= unpacket_traits<Packet>::alignment)
+    pstore(to, from);
+  else
+    pstoreu(to, from);
+}
+
+/** \internal \returns a packet version of \a *from.
+  * Unlike ploadt, ploadt_ro takes advantage of the read-only memory path on the
+  * hardware if available to speedup the loading of data that won't be modified
+  * by the current computation.
+  */
+template<typename Packet, int LoadMode>
+EIGEN_DEVICE_FUNC EIGEN_ALWAYS_INLINE Packet ploadt_ro(const typename unpacket_traits<Packet>::type* from)
+{
+  return ploadt<Packet, LoadMode>(from);
+}
+
+/** \internal default implementation of palign() allowing partial specialization */
+template<int Offset,typename PacketType>
+struct palign_impl
+{
+  // by default data are aligned, so there is nothing to be done :)
+  static inline void run(PacketType&, const PacketType&) {}
+};
+
+/** \internal update \a first using the concatenation of the packet_size minus \a Offset last elements
+  * of \a first and \a Offset first elements of \a second.
+  * 
+  * This function is currently only used to optimize matrix-vector products on unligned matrices.
+  * It takes 2 packets that represent a contiguous memory array, and returns a packet starting
+  * at the position \a Offset. For instance, for packets of 4 elements, we have:
+  *  Input:
+  *  - first = {f0,f1,f2,f3}
+  *  - second = {s0,s1,s2,s3}
+  * Output: 
+  *   - if Offset==0 then {f0,f1,f2,f3}
+  *   - if Offset==1 then {f1,f2,f3,s0}
+  *   - if Offset==2 then {f2,f3,s0,s1}
+  *   - if Offset==3 then {f3,s0,s1,s3}
+  */
+template<int Offset,typename PacketType>
+inline void palign(PacketType& first, const PacketType& second)
+{
+  palign_impl<Offset,PacketType>::run(first,second);
+}
+
+/***************************************************************************
+* Fast complex products (GCC generates a function call which is very slow)
+***************************************************************************/
+
+// Eigen+CUDA does not support complexes.
+#ifndef __CUDACC__
+
+template<> inline std::complex<float> pmul(const std::complex<float>& a, const std::complex<float>& b)
+{ return std::complex<float>(a.real()*b.real() - a.imag()*b.imag(), a.imag()*b.real() + a.real()*b.imag()); }
+
+template<> inline std::complex<double> pmul(const std::complex<double>& a, const std::complex<double>& b)
+{ return std::complex<double>(a.real()*b.real() - a.imag()*b.imag(), a.imag()*b.real() + a.real()*b.imag()); }
+
+#endif
+
+
+/***************************************************************************
+ * PacketBlock, that is a collection of N packets where the number of words
+ * in the packet is a multiple of N.
+***************************************************************************/
+template <typename Packet,int N=unpacket_traits<Packet>::size> struct PacketBlock {
+  Packet packet[N];
+};
+
+template<typename Packet> EIGEN_DEVICE_FUNC inline void
+ptranspose(PacketBlock<Packet,1>& /*kernel*/) {
+  // Nothing to do in the scalar case, i.e. a 1x1 matrix.
+}
+
+/***************************************************************************
+ * Selector, i.e. vector of N boolean values used to select (i.e. blend)
+ * words from 2 packets.
+***************************************************************************/
+template <size_t N> struct Selector {
+  bool select[N];
+};
+
+template<typename Packet> EIGEN_DEVICE_FUNC inline Packet
+pblend(const Selector<unpacket_traits<Packet>::size>& ifPacket, const Packet& thenPacket, const Packet& elsePacket) {
+  return ifPacket.select[0] ? thenPacket : elsePacket;
+}
+
+/** \internal \returns \a a with the first coefficient replaced by the scalar b */
+template<typename Packet> EIGEN_DEVICE_FUNC inline Packet
+pinsertfirst(const Packet& a, typename unpacket_traits<Packet>::type b)
+{
+  // Default implementation based on pblend.
+  // It must be specialized for higher performance.
+  Selector<unpacket_traits<Packet>::size> mask;
+  mask.select[0] = true;
+  // This for loop should be optimized away by the compiler.
+  for(Index i=1; i<unpacket_traits<Packet>::size; ++i)
+    mask.select[i] = false;
+  return pblend(mask, pset1<Packet>(b), a);
+}
+
+/** \internal \returns \a a with the last coefficient replaced by the scalar b */
+template<typename Packet> EIGEN_DEVICE_FUNC inline Packet
+pinsertlast(const Packet& a, typename unpacket_traits<Packet>::type b)
+{
+  // Default implementation based on pblend.
+  // It must be specialized for higher performance.
+  Selector<unpacket_traits<Packet>::size> mask;
+  // This for loop should be optimized away by the compiler.
+  for(Index i=0; i<unpacket_traits<Packet>::size-1; ++i)
+    mask.select[i] = false;
+  mask.select[unpacket_traits<Packet>::size-1] = true;
+  return pblend(mask, pset1<Packet>(b), a);
+}
+
+} // end namespace internal
+
+} // end namespace Eigen
+
+#endif // EIGEN_GENERIC_PACKET_MATH_H
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/Array.h
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/Array.h	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/Array.h	(revision 3761)
@@ -0,0 +1,329 @@
+// This file is part of Eigen, a lightweight C++ template library
+// for linear algebra.
+//
+// Copyright (C) 2009 Gael Guennebaud <gael.guennebaud@inria.fr>
+//
+// This Source Code Form is subject to the terms of the Mozilla
+// Public License v. 2.0. If a copy of the MPL was not distributed
+// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
+
+#ifndef EIGEN_ARRAY_H
+#define EIGEN_ARRAY_H
+
+namespace Eigen {
+
+namespace internal {
+template<typename _Scalar, int _Rows, int _Cols, int _Options, int _MaxRows, int _MaxCols>
+struct traits<Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> > : traits<Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> >
+{
+  typedef ArrayXpr XprKind;
+  typedef ArrayBase<Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> > XprBase;
+};
+}
+
+/** \class Array
+  * \ingroup Core_Module
+  *
+  * \brief General-purpose arrays with easy API for coefficient-wise operations
+  *
+  * The %Array class is very similar to the Matrix class. It provides
+  * general-purpose one- and two-dimensional arrays. The difference between the
+  * %Array and the %Matrix class is primarily in the API: the API for the
+  * %Array class provides easy access to coefficient-wise operations, while the
+  * API for the %Matrix class provides easy access to linear-algebra
+  * operations.
+  *
+  * See documentation of class Matrix for detailed information on the template parameters
+  * storage layout.
+  *
+  * This class can be extended with the help of the plugin mechanism described on the page
+  * \ref TopicCustomizing_Plugins by defining the preprocessor symbol \c EIGEN_ARRAY_PLUGIN.
+  *
+  * \sa \blank \ref TutorialArrayClass, \ref TopicClassHierarchy
+  */
+template<typename _Scalar, int _Rows, int _Cols, int _Options, int _MaxRows, int _MaxCols>
+class Array
+  : public PlainObjectBase<Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> >
+{
+  public:
+
+    typedef PlainObjectBase<Array> Base;
+    EIGEN_DENSE_PUBLIC_INTERFACE(Array)
+
+    enum { Options = _Options };
+    typedef typename Base::PlainObject PlainObject;
+
+  protected:
+    template <typename Derived, typename OtherDerived, bool IsVector>
+    friend struct internal::conservative_resize_like_impl;
+
+    using Base::m_storage;
+
+  public:
+
+    using Base::base;
+    using Base::coeff;
+    using Base::coeffRef;
+
+    /**
+      * The usage of
+      *   using Base::operator=;
+      * fails on MSVC. Since the code below is working with GCC and MSVC, we skipped
+      * the usage of 'using'. This should be done only for operator=.
+      */
+    template<typename OtherDerived>
+    EIGEN_DEVICE_FUNC
+    EIGEN_STRONG_INLINE Array& operator=(const EigenBase<OtherDerived> &other)
+    {
+      return Base::operator=(other);
+    }
+
+    /** Set all the entries to \a value.
+      * \sa DenseBase::setConstant(), DenseBase::fill()
+      */
+    /* This overload is needed because the usage of
+      *   using Base::operator=;
+      * fails on MSVC. Since the code below is working with GCC and MSVC, we skipped
+      * the usage of 'using'. This should be done only for operator=.
+      */
+    EIGEN_DEVICE_FUNC
+    EIGEN_STRONG_INLINE Array& operator=(const Scalar &value)
+    {
+      Base::setConstant(value);
+      return *this;
+    }
+
+    /** Copies the value of the expression \a other into \c *this with automatic resizing.
+      *
+      * *this might be resized to match the dimensions of \a other. If *this was a null matrix (not already initialized),
+      * it will be initialized.
+      *
+      * Note that copying a row-vector into a vector (and conversely) is allowed.
+      * The resizing, if any, is then done in the appropriate way so that row-vectors
+      * remain row-vectors and vectors remain vectors.
+      */
+    template<typename OtherDerived>
+    EIGEN_DEVICE_FUNC
+    EIGEN_STRONG_INLINE Array& operator=(const DenseBase<OtherDerived>& other)
+    {
+      return Base::_set(other);
+    }
+
+    /** This is a special case of the templated operator=. Its purpose is to
+      * prevent a default operator= from hiding the templated operator=.
+      */
+    EIGEN_DEVICE_FUNC
+    EIGEN_STRONG_INLINE Array& operator=(const Array& other)
+    {
+      return Base::_set(other);
+    }
+    
+    /** Default constructor.
+      *
+      * For fixed-size matrices, does nothing.
+      *
+      * For dynamic-size matrices, creates an empty matrix of size 0. Does not allocate any array. Such a matrix
+      * is called a null matrix. This constructor is the unique way to create null matrices: resizing
+      * a matrix to 0 is not supported.
+      *
+      * \sa resize(Index,Index)
+      */
+    EIGEN_DEVICE_FUNC
+    EIGEN_STRONG_INLINE Array() : Base()
+    {
+      Base::_check_template_params();
+      EIGEN_INITIALIZE_COEFFS_IF_THAT_OPTION_IS_ENABLED
+    }
+
+#ifndef EIGEN_PARSED_BY_DOXYGEN
+    // FIXME is it still needed ??
+    /** \internal */
+    EIGEN_DEVICE_FUNC
+    Array(internal::constructor_without_unaligned_array_assert)
+      : Base(internal::constructor_without_unaligned_array_assert())
+    {
+      Base::_check_template_params();
+      EIGEN_INITIALIZE_COEFFS_IF_THAT_OPTION_IS_ENABLED
+    }
+#endif
+
+#if EIGEN_HAS_RVALUE_REFERENCES
+    EIGEN_DEVICE_FUNC
+    Array(Array&& other) EIGEN_NOEXCEPT_IF(std::is_nothrow_move_constructible<Scalar>::value)
+      : Base(std::move(other))
+    {
+      Base::_check_template_params();
+    }
+    EIGEN_DEVICE_FUNC
+    Array& operator=(Array&& other) EIGEN_NOEXCEPT_IF(std::is_nothrow_move_assignable<Scalar>::value)
+    {
+      other.swap(*this);
+      return *this;
+    }
+#endif
+
+    #ifndef EIGEN_PARSED_BY_DOXYGEN
+    template<typename T>
+    EIGEN_DEVICE_FUNC
+    EIGEN_STRONG_INLINE explicit Array(const T& x)
+    {
+      Base::_check_template_params();
+      Base::template _init1<T>(x);
+    }
+
+    template<typename T0, typename T1>
+    EIGEN_DEVICE_FUNC
+    EIGEN_STRONG_INLINE Array(const T0& val0, const T1& val1)
+    {
+      Base::_check_template_params();
+      this->template _init2<T0,T1>(val0, val1);
+    }
+    #else
+    /** \brief Constructs a fixed-sized array initialized with coefficients starting at \a data */
+    EIGEN_DEVICE_FUNC explicit Array(const Scalar *data);
+    /** Constructs a vector or row-vector with given dimension. \only_for_vectors
+      *
+      * Note that this is only useful for dynamic-size vectors. For fixed-size vectors,
+      * it is redundant to pass the dimension here, so it makes more sense to use the default
+      * constructor Array() instead.
+      */
+    EIGEN_DEVICE_FUNC
+    EIGEN_STRONG_INLINE explicit Array(Index dim);
+    /** constructs an initialized 1x1 Array with the given coefficient */
+    Array(const Scalar& value);
+    /** constructs an uninitialized array with \a rows rows and \a cols columns.
+      *
+      * This is useful for dynamic-size arrays. For fixed-size arrays,
+      * it is redundant to pass these parameters, so one should use the default constructor
+      * Array() instead. */
+    Array(Index rows, Index cols);
+    /** constructs an initialized 2D vector with given coefficients */
+    Array(const Scalar& val0, const Scalar& val1);
+    #endif
+
+    /** constructs an initialized 3D vector with given coefficients */
+    EIGEN_DEVICE_FUNC
+    EIGEN_STRONG_INLINE Array(const Scalar& val0, const Scalar& val1, const Scalar& val2)
+    {
+      Base::_check_template_params();
+      EIGEN_STATIC_ASSERT_VECTOR_SPECIFIC_SIZE(Array, 3)
+      m_storage.data()[0] = val0;
+      m_storage.data()[1] = val1;
+      m_storage.data()[2] = val2;
+    }
+    /** constructs an initialized 4D vector with given coefficients */
+    EIGEN_DEVICE_FUNC
+    EIGEN_STRONG_INLINE Array(const Scalar& val0, const Scalar& val1, const Scalar& val2, const Scalar& val3)
+    {
+      Base::_check_template_params();
+      EIGEN_STATIC_ASSERT_VECTOR_SPECIFIC_SIZE(Array, 4)
+      m_storage.data()[0] = val0;
+      m_storage.data()[1] = val1;
+      m_storage.data()[2] = val2;
+      m_storage.data()[3] = val3;
+    }
+
+    /** Copy constructor */
+    EIGEN_DEVICE_FUNC
+    EIGEN_STRONG_INLINE Array(const Array& other)
+            : Base(other)
+    { }
+
+  private:
+    struct PrivateType {};
+  public:
+
+    /** \sa MatrixBase::operator=(const EigenBase<OtherDerived>&) */
+    template<typename OtherDerived>
+    EIGEN_DEVICE_FUNC
+    EIGEN_STRONG_INLINE Array(const EigenBase<OtherDerived> &other,
+                              typename internal::enable_if<internal::is_convertible<typename OtherDerived::Scalar,Scalar>::value,
+                                                           PrivateType>::type = PrivateType())
+      : Base(other.derived())
+    { }
+
+    EIGEN_DEVICE_FUNC inline Index innerStride() const { return 1; }
+    EIGEN_DEVICE_FUNC inline Index outerStride() const { return this->innerSize(); }
+
+    #ifdef EIGEN_ARRAY_PLUGIN
+    #include EIGEN_ARRAY_PLUGIN
+    #endif
+
+  private:
+
+    template<typename MatrixType, typename OtherDerived, bool SwapPointers>
+    friend struct internal::matrix_swap_impl;
+};
+
+/** \defgroup arraytypedefs Global array typedefs
+  * \ingroup Core_Module
+  *
+  * Eigen defines several typedef shortcuts for most common 1D and 2D array types.
+  *
+  * The general patterns are the following:
+  *
+  * \c ArrayRowsColsType where \c Rows and \c Cols can be \c 2,\c 3,\c 4 for fixed size square matrices or \c X for dynamic size,
+  * and where \c Type can be \c i for integer, \c f for float, \c d for double, \c cf for complex float, \c cd
+  * for complex double.
+  *
+  * For example, \c Array33d is a fixed-size 3x3 array type of doubles, and \c ArrayXXf is a dynamic-size matrix of floats.
+  *
+  * There are also \c ArraySizeType which are self-explanatory. For example, \c Array4cf is
+  * a fixed-size 1D array of 4 complex floats.
+  *
+  * \sa class Array
+  */
+
+#define EIGEN_MAKE_ARRAY_TYPEDEFS(Type, TypeSuffix, Size, SizeSuffix)   \
+/** \ingroup arraytypedefs */                                    \
+typedef Array<Type, Size, Size> Array##SizeSuffix##SizeSuffix##TypeSuffix;  \
+/** \ingroup arraytypedefs */                                    \
+typedef Array<Type, Size, 1>    Array##SizeSuffix##TypeSuffix;
+
+#define EIGEN_MAKE_ARRAY_FIXED_TYPEDEFS(Type, TypeSuffix, Size)         \
+/** \ingroup arraytypedefs */                                    \
+typedef Array<Type, Size, Dynamic> Array##Size##X##TypeSuffix;  \
+/** \ingroup arraytypedefs */                                    \
+typedef Array<Type, Dynamic, Size> Array##X##Size##TypeSuffix;
+
+#define EIGEN_MAKE_ARRAY_TYPEDEFS_ALL_SIZES(Type, TypeSuffix) \
+EIGEN_MAKE_ARRAY_TYPEDEFS(Type, TypeSuffix, 2, 2) \
+EIGEN_MAKE_ARRAY_TYPEDEFS(Type, TypeSuffix, 3, 3) \
+EIGEN_MAKE_ARRAY_TYPEDEFS(Type, TypeSuffix, 4, 4) \
+EIGEN_MAKE_ARRAY_TYPEDEFS(Type, TypeSuffix, Dynamic, X) \
+EIGEN_MAKE_ARRAY_FIXED_TYPEDEFS(Type, TypeSuffix, 2) \
+EIGEN_MAKE_ARRAY_FIXED_TYPEDEFS(Type, TypeSuffix, 3) \
+EIGEN_MAKE_ARRAY_FIXED_TYPEDEFS(Type, TypeSuffix, 4)
+
+EIGEN_MAKE_ARRAY_TYPEDEFS_ALL_SIZES(int,                  i)
+EIGEN_MAKE_ARRAY_TYPEDEFS_ALL_SIZES(float,                f)
+EIGEN_MAKE_ARRAY_TYPEDEFS_ALL_SIZES(double,               d)
+EIGEN_MAKE_ARRAY_TYPEDEFS_ALL_SIZES(std::complex<float>,  cf)
+EIGEN_MAKE_ARRAY_TYPEDEFS_ALL_SIZES(std::complex<double>, cd)
+
+#undef EIGEN_MAKE_ARRAY_TYPEDEFS_ALL_SIZES
+#undef EIGEN_MAKE_ARRAY_TYPEDEFS
+
+#undef EIGEN_MAKE_ARRAY_TYPEDEFS_LARGE
+
+#define EIGEN_USING_ARRAY_TYPEDEFS_FOR_TYPE_AND_SIZE(TypeSuffix, SizeSuffix) \
+using Eigen::Matrix##SizeSuffix##TypeSuffix; \
+using Eigen::Vector##SizeSuffix##TypeSuffix; \
+using Eigen::RowVector##SizeSuffix##TypeSuffix;
+
+#define EIGEN_USING_ARRAY_TYPEDEFS_FOR_TYPE(TypeSuffix) \
+EIGEN_USING_ARRAY_TYPEDEFS_FOR_TYPE_AND_SIZE(TypeSuffix, 2) \
+EIGEN_USING_ARRAY_TYPEDEFS_FOR_TYPE_AND_SIZE(TypeSuffix, 3) \
+EIGEN_USING_ARRAY_TYPEDEFS_FOR_TYPE_AND_SIZE(TypeSuffix, 4) \
+EIGEN_USING_ARRAY_TYPEDEFS_FOR_TYPE_AND_SIZE(TypeSuffix, X) \
+
+#define EIGEN_USING_ARRAY_TYPEDEFS \
+EIGEN_USING_ARRAY_TYPEDEFS_FOR_TYPE(i) \
+EIGEN_USING_ARRAY_TYPEDEFS_FOR_TYPE(f) \
+EIGEN_USING_ARRAY_TYPEDEFS_FOR_TYPE(d) \
+EIGEN_USING_ARRAY_TYPEDEFS_FOR_TYPE(cf) \
+EIGEN_USING_ARRAY_TYPEDEFS_FOR_TYPE(cd)
+
+} // end namespace Eigen
+
+#endif // EIGEN_ARRAY_H
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/ConditionEstimator.h
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/ConditionEstimator.h	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/ConditionEstimator.h	(revision 3761)
@@ -0,0 +1,175 @@
+// This file is part of Eigen, a lightweight C++ template library
+// for linear algebra.
+//
+// Copyright (C) 2016 Rasmus Munk Larsen (rmlarsen@google.com)
+//
+// This Source Code Form is subject to the terms of the Mozilla
+// Public License v. 2.0. If a copy of the MPL was not distributed
+// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
+
+#ifndef EIGEN_CONDITIONESTIMATOR_H
+#define EIGEN_CONDITIONESTIMATOR_H
+
+namespace Eigen {
+
+namespace internal {
+
+template <typename Vector, typename RealVector, bool IsComplex>
+struct rcond_compute_sign {
+  static inline Vector run(const Vector& v) {
+    const RealVector v_abs = v.cwiseAbs();
+    return (v_abs.array() == static_cast<typename Vector::RealScalar>(0))
+            .select(Vector::Ones(v.size()), v.cwiseQuotient(v_abs));
+  }
+};
+
+// Partial specialization to avoid elementwise division for real vectors.
+template <typename Vector>
+struct rcond_compute_sign<Vector, Vector, false> {
+  static inline Vector run(const Vector& v) {
+    return (v.array() < static_cast<typename Vector::RealScalar>(0))
+           .select(-Vector::Ones(v.size()), Vector::Ones(v.size()));
+  }
+};
+
+/**
+  * \returns an estimate of ||inv(matrix)||_1 given a decomposition of
+  * \a matrix that implements .solve() and .adjoint().solve() methods.
+  *
+  * This function implements Algorithms 4.1 and 5.1 from
+  *   http://www.maths.manchester.ac.uk/~higham/narep/narep135.pdf
+  * which also forms the basis for the condition number estimators in
+  * LAPACK. Since at most 10 calls to the solve method of dec are
+  * performed, the total cost is O(dims^2), as opposed to O(dims^3)
+  * needed to compute the inverse matrix explicitly.
+  *
+  * The most common usage is in estimating the condition number
+  * ||matrix||_1 * ||inv(matrix)||_1. The first term ||matrix||_1 can be
+  * computed directly in O(n^2) operations.
+  *
+  * Supports the following decompositions: FullPivLU, PartialPivLU, LDLT, and
+  * LLT.
+  *
+  * \sa FullPivLU, PartialPivLU, LDLT, LLT.
+  */
+template <typename Decomposition>
+typename Decomposition::RealScalar rcond_invmatrix_L1_norm_estimate(const Decomposition& dec)
+{
+  typedef typename Decomposition::MatrixType MatrixType;
+  typedef typename Decomposition::Scalar Scalar;
+  typedef typename Decomposition::RealScalar RealScalar;
+  typedef typename internal::plain_col_type<MatrixType>::type Vector;
+  typedef typename internal::plain_col_type<MatrixType, RealScalar>::type RealVector;
+  const bool is_complex = (NumTraits<Scalar>::IsComplex != 0);
+
+  eigen_assert(dec.rows() == dec.cols());
+  const Index n = dec.rows();
+  if (n == 0)
+    return 0;
+
+  // Disable Index to float conversion warning
+#ifdef __INTEL_COMPILER
+  #pragma warning push
+  #pragma warning ( disable : 2259 )
+#endif
+  Vector v = dec.solve(Vector::Ones(n) / Scalar(n));
+#ifdef __INTEL_COMPILER
+  #pragma warning pop
+#endif
+
+  // lower_bound is a lower bound on
+  //   ||inv(matrix)||_1  = sup_v ||inv(matrix) v||_1 / ||v||_1
+  // and is the objective maximized by the ("super-") gradient ascent
+  // algorithm below.
+  RealScalar lower_bound = v.template lpNorm<1>();
+  if (n == 1)
+    return lower_bound;
+
+  // Gradient ascent algorithm follows: We know that the optimum is achieved at
+  // one of the simplices v = e_i, so in each iteration we follow a
+  // super-gradient to move towards the optimal one.
+  RealScalar old_lower_bound = lower_bound;
+  Vector sign_vector(n);
+  Vector old_sign_vector;
+  Index v_max_abs_index = -1;
+  Index old_v_max_abs_index = v_max_abs_index;
+  for (int k = 0; k < 4; ++k)
+  {
+    sign_vector = internal::rcond_compute_sign<Vector, RealVector, is_complex>::run(v);
+    if (k > 0 && !is_complex && sign_vector == old_sign_vector) {
+      // Break if the solution stagnated.
+      break;
+    }
+    // v_max_abs_index = argmax |real( inv(matrix)^T * sign_vector )|
+    v = dec.adjoint().solve(sign_vector);
+    v.real().cwiseAbs().maxCoeff(&v_max_abs_index);
+    if (v_max_abs_index == old_v_max_abs_index) {
+      // Break if the solution stagnated.
+      break;
+    }
+    // Move to the new simplex e_j, where j = v_max_abs_index.
+    v = dec.solve(Vector::Unit(n, v_max_abs_index));  // v = inv(matrix) * e_j.
+    lower_bound = v.template lpNorm<1>();
+    if (lower_bound <= old_lower_bound) {
+      // Break if the gradient step did not increase the lower_bound.
+      break;
+    }
+    if (!is_complex) {
+      old_sign_vector = sign_vector;
+    }
+    old_v_max_abs_index = v_max_abs_index;
+    old_lower_bound = lower_bound;
+  }
+  // The following calculates an independent estimate of ||matrix||_1 by
+  // multiplying matrix by a vector with entries of slowly increasing
+  // magnitude and alternating sign:
+  //   v_i = (-1)^{i} (1 + (i / (dim-1))), i = 0,...,dim-1.
+  // This improvement to Hager's algorithm above is due to Higham. It was
+  // added to make the algorithm more robust in certain corner cases where
+  // large elements in the matrix might otherwise escape detection due to
+  // exact cancellation (especially when op and op_adjoint correspond to a
+  // sequence of backsubstitutions and permutations), which could cause
+  // Hager's algorithm to vastly underestimate ||matrix||_1.
+  Scalar alternating_sign(RealScalar(1));
+  for (Index i = 0; i < n; ++i) {
+    // The static_cast is needed when Scalar is a complex and RealScalar implements expression templates
+    v[i] = alternating_sign * static_cast<RealScalar>(RealScalar(1) + (RealScalar(i) / (RealScalar(n - 1))));
+    alternating_sign = -alternating_sign;
+  }
+  v = dec.solve(v);
+  const RealScalar alternate_lower_bound = (2 * v.template lpNorm<1>()) / (3 * RealScalar(n));
+  return numext::maxi(lower_bound, alternate_lower_bound);
+}
+
+/** \brief Reciprocal condition number estimator.
+  *
+  * Computing a decomposition of a dense matrix takes O(n^3) operations, while
+  * this method estimates the condition number quickly and reliably in O(n^2)
+  * operations.
+  *
+  * \returns an estimate of the reciprocal condition number
+  * (1 / (||matrix||_1 * ||inv(matrix)||_1)) of matrix, given ||matrix||_1 and
+  * its decomposition. Supports the following decompositions: FullPivLU,
+  * PartialPivLU, LDLT, and LLT.
+  *
+  * \sa FullPivLU, PartialPivLU, LDLT, LLT.
+  */
+template <typename Decomposition>
+typename Decomposition::RealScalar
+rcond_estimate_helper(typename Decomposition::RealScalar matrix_norm, const Decomposition& dec)
+{
+  typedef typename Decomposition::RealScalar RealScalar;
+  eigen_assert(dec.rows() == dec.cols());
+  if (dec.rows() == 0)              return NumTraits<RealScalar>::infinity();
+  if (matrix_norm == RealScalar(0)) return RealScalar(0);
+  if (dec.rows() == 1)              return RealScalar(1);
+  const RealScalar inverse_matrix_norm = rcond_invmatrix_L1_norm_estimate(dec);
+  return (inverse_matrix_norm == RealScalar(0) ? RealScalar(0)
+                                               : (RealScalar(1) / inverse_matrix_norm) / matrix_norm);
+}
+
+}  // namespace internal
+
+}  // namespace Eigen
+
+#endif
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h	(revision 3761)
@@ -0,0 +1,209 @@
+// This file is part of Eigen, a lightweight C++ template library
+// for linear algebra.
+//
+// Copyright (C) 2009-2010 Gael Guennebaud <gael.guennebaud@inria.fr>
+//
+// This Source Code Form is subject to the terms of the Mozilla
+// Public License v. 2.0. If a copy of the MPL was not distributed
+// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
+
+#ifndef EIGEN_ARRAYWRAPPER_H
+#define EIGEN_ARRAYWRAPPER_H
+
+namespace Eigen { 
+
+/** \class ArrayWrapper
+  * \ingroup Core_Module
+  *
+  * \brief Expression of a mathematical vector or matrix as an array object
+  *
+  * This class is the return type of MatrixBase::array(), and most of the time
+  * this is the only way it is use.
+  *
+  * \sa MatrixBase::array(), class MatrixWrapper
+  */
+
+namespace internal {
+template<typename ExpressionType>
+struct traits<ArrayWrapper<ExpressionType> >
+  : public traits<typename remove_all<typename ExpressionType::Nested>::type >
+{
+  typedef ArrayXpr XprKind;
+  // Let's remove NestByRefBit
+  enum {
+    Flags0 = traits<typename remove_all<typename ExpressionType::Nested>::type >::Flags,
+    LvalueBitFlag = is_lvalue<ExpressionType>::value ? LvalueBit : 0,
+    Flags = (Flags0 & ~(NestByRefBit | LvalueBit)) | LvalueBitFlag
+  };
+};
+}
+
+template<typename ExpressionType>
+class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
+{
+  public:
+    typedef ArrayBase<ArrayWrapper> Base;
+    EIGEN_DENSE_PUBLIC_INTERFACE(ArrayWrapper)
+    EIGEN_INHERIT_ASSIGNMENT_OPERATORS(ArrayWrapper)
+    typedef typename internal::remove_all<ExpressionType>::type NestedExpression;
+
+    typedef typename internal::conditional<
+                       internal::is_lvalue<ExpressionType>::value,
+                       Scalar,
+                       const Scalar
+                     >::type ScalarWithConstIfNotLvalue;
+
+    typedef typename internal::ref_selector<ExpressionType>::non_const_type NestedExpressionType;
+
+    using Base::coeffRef;
+
+    EIGEN_DEVICE_FUNC
+    explicit EIGEN_STRONG_INLINE ArrayWrapper(ExpressionType& matrix) : m_expression(matrix) {}
+
+    EIGEN_DEVICE_FUNC
+    inline Index rows() const { return m_expression.rows(); }
+    EIGEN_DEVICE_FUNC
+    inline Index cols() const { return m_expression.cols(); }
+    EIGEN_DEVICE_FUNC
+    inline Index outerStride() const { return m_expression.outerStride(); }
+    EIGEN_DEVICE_FUNC
+    inline Index innerStride() const { return m_expression.innerStride(); }
+
+    EIGEN_DEVICE_FUNC
+    inline ScalarWithConstIfNotLvalue* data() { return m_expression.data(); }
+    EIGEN_DEVICE_FUNC
+    inline const Scalar* data() const { return m_expression.data(); }
+
+    EIGEN_DEVICE_FUNC
+    inline const Scalar& coeffRef(Index rowId, Index colId) const
+    {
+      return m_expression.coeffRef(rowId, colId);
+    }
+
+    EIGEN_DEVICE_FUNC
+    inline const Scalar& coeffRef(Index index) const
+    {
+      return m_expression.coeffRef(index);
+    }
+
+    template<typename Dest>
+    EIGEN_DEVICE_FUNC
+    inline void evalTo(Dest& dst) const { dst = m_expression; }
+
+    const typename internal::remove_all<NestedExpressionType>::type& 
+    EIGEN_DEVICE_FUNC
+    nestedExpression() const 
+    {
+      return m_expression;
+    }
+
+    /** Forwards the resizing request to the nested expression
+      * \sa DenseBase::resize(Index)  */
+    EIGEN_DEVICE_FUNC
+    void resize(Index newSize) { m_expression.resize(newSize); }
+    /** Forwards the resizing request to the nested expression
+      * \sa DenseBase::resize(Index,Index)*/
+    EIGEN_DEVICE_FUNC
+    void resize(Index rows, Index cols) { m_expression.resize(rows,cols); }
+
+  protected:
+    NestedExpressionType m_expression;
+};
+
+/** \class MatrixWrapper
+  * \ingroup Core_Module
+  *
+  * \brief Expression of an array as a mathematical vector or matrix
+  *
+  * This class is the return type of ArrayBase::matrix(), and most of the time
+  * this is the only way it is use.
+  *
+  * \sa MatrixBase::matrix(), class ArrayWrapper
+  */
+
+namespace internal {
+template<typename ExpressionType>
+struct traits<MatrixWrapper<ExpressionType> >
+ : public traits<typename remove_all<typename ExpressionType::Nested>::type >
+{
+  typedef MatrixXpr XprKind;
+  // Let's remove NestByRefBit
+  enum {
+    Flags0 = traits<typename remove_all<typename ExpressionType::Nested>::type >::Flags,
+    LvalueBitFlag = is_lvalue<ExpressionType>::value ? LvalueBit : 0,
+    Flags = (Flags0 & ~(NestByRefBit | LvalueBit)) | LvalueBitFlag
+  };
+};
+}
+
+template<typename ExpressionType>
+class MatrixWrapper : public MatrixBase<MatrixWrapper<ExpressionType> >
+{
+  public:
+    typedef MatrixBase<MatrixWrapper<ExpressionType> > Base;
+    EIGEN_DENSE_PUBLIC_INTERFACE(MatrixWrapper)
+    EIGEN_INHERIT_ASSIGNMENT_OPERATORS(MatrixWrapper)
+    typedef typename internal::remove_all<ExpressionType>::type NestedExpression;
+
+    typedef typename internal::conditional<
+                       internal::is_lvalue<ExpressionType>::value,
+                       Scalar,
+                       const Scalar
+                     >::type ScalarWithConstIfNotLvalue;
+
+    typedef typename internal::ref_selector<ExpressionType>::non_const_type NestedExpressionType;
+
+    using Base::coeffRef;
+
+    EIGEN_DEVICE_FUNC
+    explicit inline MatrixWrapper(ExpressionType& matrix) : m_expression(matrix) {}
+
+    EIGEN_DEVICE_FUNC
+    inline Index rows() const { return m_expression.rows(); }
+    EIGEN_DEVICE_FUNC
+    inline Index cols() const { return m_expression.cols(); }
+    EIGEN_DEVICE_FUNC
+    inline Index outerStride() const { return m_expression.outerStride(); }
+    EIGEN_DEVICE_FUNC
+    inline Index innerStride() const { return m_expression.innerStride(); }
+
+    EIGEN_DEVICE_FUNC
+    inline ScalarWithConstIfNotLvalue* data() { return m_expression.data(); }
+    EIGEN_DEVICE_FUNC
+    inline const Scalar* data() const { return m_expression.data(); }
+
+    EIGEN_DEVICE_FUNC
+    inline const Scalar& coeffRef(Index rowId, Index colId) const
+    {
+      return m_expression.derived().coeffRef(rowId, colId);
+    }
+
+    EIGEN_DEVICE_FUNC
+    inline const Scalar& coeffRef(Index index) const
+    {
+      return m_expression.coeffRef(index);
+    }
+
+    EIGEN_DEVICE_FUNC
+    const typename internal::remove_all<NestedExpressionType>::type& 
+    nestedExpression() const 
+    {
+      return m_expression;
+    }
+
+    /** Forwards the resizing request to the nested expression
+      * \sa DenseBase::resize(Index)  */
+    EIGEN_DEVICE_FUNC
+    void resize(Index newSize) { m_expression.resize(newSize); }
+    /** Forwards the resizing request to the nested expression
+      * \sa DenseBase::resize(Index,Index)*/
+    EIGEN_DEVICE_FUNC
+    void resize(Index rows, Index cols) { m_expression.resize(rows,cols); }
+
+  protected:
+    NestedExpressionType m_expression;
+};
+
+} // end namespace Eigen
+
+#endif // EIGEN_ARRAYWRAPPER_H
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h	(revision 3761)
@@ -0,0 +1,866 @@
+// This file is part of Eigen, a lightweight C++ template library
+// for linear algebra.
+//
+// Copyright (C) 2008-2010 Gael Guennebaud <gael.guennebaud@inria.fr>
+//
+// This Source Code Form is subject to the terms of the Mozilla
+// Public License v. 2.0. If a copy of the MPL was not distributed
+// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
+
+#ifndef EIGEN_CWISE_NULLARY_OP_H
+#define EIGEN_CWISE_NULLARY_OP_H
+
+namespace Eigen {
+
+namespace internal {
+template<typename NullaryOp, typename PlainObjectType>
+struct traits<CwiseNullaryOp<NullaryOp, PlainObjectType> > : traits<PlainObjectType>
+{
+  enum {
+    Flags = traits<PlainObjectType>::Flags & RowMajorBit
+  };
+};
+
+} // namespace internal
+
+/** \class CwiseNullaryOp
+  * \ingroup Core_Module
+  *
+  * \brief Generic expression of a matrix where all coefficients are defined by a functor
+  *
+  * \tparam NullaryOp template functor implementing the operator
+  * \tparam PlainObjectType the underlying plain matrix/array type
+  *
+  * This class represents an expression of a generic nullary operator.
+  * It is the return type of the Ones(), Zero(), Constant(), Identity() and Random() methods,
+  * and most of the time this is the only way it is used.
+  *
+  * However, if you want to write a function returning such an expression, you
+  * will need to use this class.
+  *
+  * The functor NullaryOp must expose one of the following method:
+    <table class="manual">
+    <tr            ><td>\c operator()() </td><td>if the procedural generation does not depend on the coefficient entries (e.g., random numbers)</td></tr>
+    <tr class="alt"><td>\c operator()(Index i)</td><td>if the procedural generation makes sense for vectors only and that it depends on the coefficient index \c i (e.g., linspace) </td></tr>
+    <tr            ><td>\c operator()(Index i,Index j)</td><td>if the procedural generation depends on the matrix coordinates \c i, \c j (e.g., to generate a checkerboard with 0 and 1)</td></tr>
+    </table>
+  * It is also possible to expose the last two operators if the generation makes sense for matrices but can be optimized for vectors.
+  *
+  * See DenseBase::NullaryExpr(Index,const CustomNullaryOp&) for an example binding
+  * C++11 random number generators.
+  *
+  * A nullary expression can also be used to implement custom sophisticated matrix manipulations
+  * that cannot be covered by the existing set of natively supported matrix manipulations.
+  * See this \ref TopicCustomizing_NullaryExpr "page" for some examples and additional explanations
+  * on the behavior of CwiseNullaryOp.
+  *
+  * \sa class CwiseUnaryOp, class CwiseBinaryOp, DenseBase::NullaryExpr
+  */
+template<typename NullaryOp, typename PlainObjectType>
+class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
+{
+  public:
+
+    typedef typename internal::dense_xpr_base<CwiseNullaryOp>::type Base;
+    EIGEN_DENSE_PUBLIC_INTERFACE(CwiseNullaryOp)
+
+    EIGEN_DEVICE_FUNC
+    CwiseNullaryOp(Index rows, Index cols, const NullaryOp& func = NullaryOp())
+      : m_rows(rows), m_cols(cols), m_functor(func)
+    {
+      eigen_assert(rows >= 0
+            && (RowsAtCompileTime == Dynamic || RowsAtCompileTime == rows)
+            &&  cols >= 0
+            && (ColsAtCompileTime == Dynamic || ColsAtCompileTime == cols));
+    }
+
+    EIGEN_DEVICE_FUNC
+    EIGEN_STRONG_INLINE Index rows() const { return m_rows.value(); }
+    EIGEN_DEVICE_FUNC
+    EIGEN_STRONG_INLINE Index cols() const { return m_cols.value(); }
+
+    /** \returns the functor representing the nullary operation */
+    EIGEN_DEVICE_FUNC
+    const NullaryOp& functor() const { return m_functor; }
+
+  protected:
+    const internal::variable_if_dynamic<Index, RowsAtCompileTime> m_rows;
+    const internal::variable_if_dynamic<Index, ColsAtCompileTime> m_cols;
+    const NullaryOp m_functor;
+};
+
+
+/** \returns an expression of a matrix defined by a custom functor \a func
+  *
+  * The parameters \a rows and \a cols are the number of rows and of columns of
+  * the returned matrix. Must be compatible with this MatrixBase type.
+  *
+  * This variant is meant to be used for dynamic-size matrix types. For fixed-size types,
+  * it is redundant to pass \a rows and \a cols as arguments, so Zero() should be used
+  * instead.
+  *
+  * The template parameter \a CustomNullaryOp is the type of the functor.
+  *
+  * \sa class CwiseNullaryOp
+  */
+template<typename Derived>
+template<typename CustomNullaryOp>
+EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE const CwiseNullaryOp<CustomNullaryOp, typename DenseBase<Derived>::PlainObject>
+DenseBase<Derived>::NullaryExpr(Index rows, Index cols, const CustomNullaryOp& func)
+{
+  return CwiseNullaryOp<CustomNullaryOp, PlainObject>(rows, cols, func);
+}
+
+/** \returns an expression of a matrix defined by a custom functor \a func
+  *
+  * The parameter \a size is the size of the returned vector.
+  * Must be compatible with this MatrixBase type.
+  *
+  * \only_for_vectors
+  *
+  * This variant is meant to be used for dynamic-size vector types. For fixed-size types,
+  * it is redundant to pass \a size as argument, so Zero() should be used
+  * instead.
+  *
+  * The template parameter \a CustomNullaryOp is the type of the functor.
+  *
+  * Here is an example with C++11 random generators: \include random_cpp11.cpp
+  * Output: \verbinclude random_cpp11.out
+  * 
+  * \sa class CwiseNullaryOp
+  */
+template<typename Derived>
+template<typename CustomNullaryOp>
+EIGEN_STRONG_INLINE const CwiseNullaryOp<CustomNullaryOp, typename DenseBase<Derived>::PlainObject>
+DenseBase<Derived>::NullaryExpr(Index size, const CustomNullaryOp& func)
+{
+  EIGEN_STATIC_ASSERT_VECTOR_ONLY(Derived)
+  if(RowsAtCompileTime == 1) return CwiseNullaryOp<CustomNullaryOp, PlainObject>(1, size, func);
+  else return CwiseNullaryOp<CustomNullaryOp, PlainObject>(size, 1, func);
+}
+
+/** \returns an expression of a matrix defined by a custom functor \a func
+  *
+  * This variant is only for fixed-size DenseBase types. For dynamic-size types, you
+  * need to use the variants taking size arguments.
+  *
+  * The template parameter \a CustomNullaryOp is the type of the functor.
+  *
+  * \sa class CwiseNullaryOp
+  */
+template<typename Derived>
+template<typename CustomNullaryOp>
+EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE const CwiseNullaryOp<CustomNullaryOp, typename DenseBase<Derived>::PlainObject>
+DenseBase<Derived>::NullaryExpr(const CustomNullaryOp& func)
+{
+  return CwiseNullaryOp<CustomNullaryOp, PlainObject>(RowsAtCompileTime, ColsAtCompileTime, func);
+}
+
+/** \returns an expression of a constant matrix of value \a value
+  *
+  * The parameters \a rows and \a cols are the number of rows and of columns of
+  * the returned matrix. Must be compatible with this DenseBase type.
+  *
+  * This variant is meant to be used for dynamic-size matrix types. For fixed-size types,
+  * it is redundant to pass \a rows and \a cols as arguments, so Zero() should be used
+  * instead.
+  *
+  * The template parameter \a CustomNullaryOp is the type of the functor.
+  *
+  * \sa class CwiseNullaryOp
+  */
+template<typename Derived>
+EIGEN_STRONG_INLINE const typename DenseBase<Derived>::ConstantReturnType
+DenseBase<Derived>::Constant(Index rows, Index cols, const Scalar& value)
+{
+  return DenseBase<Derived>::NullaryExpr(rows, cols, internal::scalar_constant_op<Scalar>(value));
+}
+
+/** \returns an expression of a constant matrix of value \a value
+  *
+  * The parameter \a size is the size of the returned vector.
+  * Must be compatible with this DenseBase type.
+  *
+  * \only_for_vectors
+  *
+  * This variant is meant to be used for dynamic-size vector types. For fixed-size types,
+  * it is redundant to pass \a size as argument, so Zero() should be used
+  * instead.
+  *
+  * The template parameter \a CustomNullaryOp is the type of the functor.
+  *
+  * \sa class CwiseNullaryOp
+  */
+template<typename Derived>
+EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE const typename DenseBase<Derived>::ConstantReturnType
+DenseBase<Derived>::Constant(Index size, const Scalar& value)
+{
+  return DenseBase<Derived>::NullaryExpr(size, internal::scalar_constant_op<Scalar>(value));
+}
+
+/** \returns an expression of a constant matrix of value \a value
+  *
+  * This variant is only for fixed-size DenseBase types. For dynamic-size types, you
+  * need to use the variants taking size arguments.
+  *
+  * The template parameter \a CustomNullaryOp is the type of the functor.
+  *
+  * \sa class CwiseNullaryOp
+  */
+template<typename Derived>
+EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE const typename DenseBase<Derived>::ConstantReturnType
+DenseBase<Derived>::Constant(const Scalar& value)
+{
+  EIGEN_STATIC_ASSERT_FIXED_SIZE(Derived)
+  return DenseBase<Derived>::NullaryExpr(RowsAtCompileTime, ColsAtCompileTime, internal::scalar_constant_op<Scalar>(value));
+}
+
+/** \deprecated because of accuracy loss. In Eigen 3.3, it is an alias for LinSpaced(Index,const Scalar&,const Scalar&)
+  *
+  * \sa LinSpaced(Index,Scalar,Scalar), setLinSpaced(Index,const Scalar&,const Scalar&)
+  */
+template<typename Derived>
+EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE const typename DenseBase<Derived>::RandomAccessLinSpacedReturnType
+DenseBase<Derived>::LinSpaced(Sequential_t, Index size, const Scalar& low, const Scalar& high)
+{
+  EIGEN_STATIC_ASSERT_VECTOR_ONLY(Derived)
+  return DenseBase<Derived>::NullaryExpr(size, internal::linspaced_op<Scalar,PacketScalar>(low,high,size));
+}
+
+/** \deprecated because of accuracy loss. In Eigen 3.3, it is an alias for LinSpaced(const Scalar&,const Scalar&)
+  *
+  * \sa LinSpaced(Scalar,Scalar)
+  */
+template<typename Derived>
+EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE const typename DenseBase<Derived>::RandomAccessLinSpacedReturnType
+DenseBase<Derived>::LinSpaced(Sequential_t, const Scalar& low, const Scalar& high)
+{
+  EIGEN_STATIC_ASSERT_VECTOR_ONLY(Derived)
+  EIGEN_STATIC_ASSERT_FIXED_SIZE(Derived)
+  return DenseBase<Derived>::NullaryExpr(Derived::SizeAtCompileTime, internal::linspaced_op<Scalar,PacketScalar>(low,high,Derived::SizeAtCompileTime));
+}
+
+/**
+  * \brief Sets a linearly spaced vector.
+  *
+  * The function generates 'size' equally spaced values in the closed interval [low,high].
+  * When size is set to 1, a vector of length 1 containing 'high' is returned.
+  *
+  * \only_for_vectors
+  *
+  * Example: \include DenseBase_LinSpaced.cpp
+  * Output: \verbinclude DenseBase_LinSpaced.out
+  *
+  * For integer scalar types, an even spacing is possible if and only if the length of the range,
+  * i.e., \c high-low is a scalar multiple of \c size-1, or if \c size is a scalar multiple of the
+  * number of values \c high-low+1 (meaning each value can be repeated the same number of time).
+  * If one of these two considions is not satisfied, then \c high is lowered to the largest value
+  * satisfying one of this constraint.
+  * Here are some examples:
+  *
+  * Example: \include DenseBase_LinSpacedInt.cpp
+  * Output: \verbinclude DenseBase_LinSpacedInt.out
+  *
+  * \sa setLinSpaced(Index,const Scalar&,const Scalar&), CwiseNullaryOp
+  */
+template<typename Derived>
+EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE const typename DenseBase<Derived>::RandomAccessLinSpacedReturnType
+DenseBase<Derived>::LinSpaced(Index size, const Scalar& low, const Scalar& high)
+{
+  EIGEN_STATIC_ASSERT_VECTOR_ONLY(Derived)
+  return DenseBase<Derived>::NullaryExpr(size, internal::linspaced_op<Scalar,PacketScalar>(low,high,size));
+}
+
+/**
+  * \copydoc DenseBase::LinSpaced(Index, const Scalar&, const Scalar&)
+  * Special version for fixed size types which does not require the size parameter.
+  */
+template<typename Derived>
+EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE const typename DenseBase<Derived>::RandomAccessLinSpacedReturnType
+DenseBase<Derived>::LinSpaced(const Scalar& low, const Scalar& high)
+{
+  EIGEN_STATIC_ASSERT_VECTOR_ONLY(Derived)
+  EIGEN_STATIC_ASSERT_FIXED_SIZE(Derived)
+  return DenseBase<Derived>::NullaryExpr(Derived::SizeAtCompileTime, internal::linspaced_op<Scalar,PacketScalar>(low,high,Derived::SizeAtCompileTime));
+}
+
+/** \returns true if all coefficients in this matrix are approximately equal to \a val, to within precision \a prec */
+template<typename Derived>
+EIGEN_DEVICE_FUNC bool DenseBase<Derived>::isApproxToConstant
+(const Scalar& val, const RealScalar& prec) const
+{
+  typename internal::nested_eval<Derived,1>::type self(derived());
+  for(Index j = 0; j < cols(); ++j)
+    for(Index i = 0; i < rows(); ++i)
+      if(!internal::isApprox(self.coeff(i, j), val, prec))
+        return false;
+  return true;
+}
+
+/** This is just an alias for isApproxToConstant().
+  *
+  * \returns true if all coefficients in this matrix are approximately equal to \a value, to within precision \a prec */
+template<typename Derived>
+EIGEN_DEVICE_FUNC bool DenseBase<Derived>::isConstant
+(const Scalar& val, const RealScalar& prec) const
+{
+  return isApproxToConstant(val, prec);
+}
+
+/** Alias for setConstant(): sets all coefficients in this expression to \a val.
+  *
+  * \sa setConstant(), Constant(), class CwiseNullaryOp
+  */
+template<typename Derived>
+EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE void DenseBase<Derived>::fill(const Scalar& val)
+{
+  setConstant(val);
+}
+
+/** Sets all coefficients in this expression to value \a val.
+  *
+  * \sa fill(), setConstant(Index,const Scalar&), setConstant(Index,Index,const Scalar&), setZero(), setOnes(), Constant(), class CwiseNullaryOp, setZero(), setOnes()
+  */
+template<typename Derived>
+EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE Derived& DenseBase<Derived>::setConstant(const Scalar& val)
+{
+  return derived() = Constant(rows(), cols(), val);
+}
+
+/** Resizes to the given \a size, and sets all coefficients in this expression to the given value \a val.
+  *
+  * \only_for_vectors
+  *
+  * Example: \include Matrix_setConstant_int.cpp
+  * Output: \verbinclude Matrix_setConstant_int.out
+  *
+  * \sa MatrixBase::setConstant(const Scalar&), setConstant(Index,Index,const Scalar&), class CwiseNullaryOp, MatrixBase::Constant(const Scalar&)
+  */
+template<typename Derived>
+EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE Derived&
+PlainObjectBase<Derived>::setConstant(Index size, const Scalar& val)
+{
+  resize(size);
+  return setConstant(val);
+}
+
+/** Resizes to the given size, and sets all coefficients in this expression to the given value \a val.
+  *
+  * \param rows the new number of rows
+  * \param cols the new number of columns
+  * \param val the value to which all coefficients are set
+  *
+  * Example: \include Matrix_setConstant_int_int.cpp
+  * Output: \verbinclude Matrix_setConstant_int_int.out
+  *
+  * \sa MatrixBase::setConstant(const Scalar&), setConstant(Index,const Scalar&), class CwiseNullaryOp, MatrixBase::Constant(const Scalar&)
+  */
+template<typename Derived>
+EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE Derived&
+PlainObjectBase<Derived>::setConstant(Index rows, Index cols, const Scalar& val)
+{
+  resize(rows, cols);
+  return setConstant(val);
+}
+
+/**
+  * \brief Sets a linearly spaced vector.
+  *
+  * The function generates 'size' equally spaced values in the closed interval [low,high].
+  * When size is set to 1, a vector of length 1 containing 'high' is returned.
+  *
+  * \only_for_vectors
+  *
+  * Example: \include DenseBase_setLinSpaced.cpp
+  * Output: \verbinclude DenseBase_setLinSpaced.out
+  *
+  * For integer scalar types, do not miss the explanations on the definition
+  * of \link LinSpaced(Index,const Scalar&,const Scalar&) even spacing \endlink.
+  *
+  * \sa LinSpaced(Index,const Scalar&,const Scalar&), CwiseNullaryOp
+  */
+template<typename Derived>
+EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE Derived& DenseBase<Derived>::setLinSpaced(Index newSize, const Scalar& low, const Scalar& high)
+{
+  EIGEN_STATIC_ASSERT_VECTOR_ONLY(Derived)
+  return derived() = Derived::NullaryExpr(newSize, internal::linspaced_op<Scalar,PacketScalar>(low,high,newSize));
+}
+
+/**
+  * \brief Sets a linearly spaced vector.
+  *
+  * The function fills \c *this with equally spaced values in the closed interval [low,high].
+  * When size is set to 1, a vector of length 1 containing 'high' is returned.
+  *
+  * \only_for_vectors
+  *
+  * For integer scalar types, do not miss the explanations on the definition
+  * of \link LinSpaced(Index,const Scalar&,const Scalar&) even spacing \endlink.
+  *
+  * \sa LinSpaced(Index,const Scalar&,const Scalar&), setLinSpaced(Index, const Scalar&, const Scalar&), CwiseNullaryOp
+  */
+template<typename Derived>
+EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE Derived& DenseBase<Derived>::setLinSpaced(const Scalar& low, const Scalar& high)
+{
+  EIGEN_STATIC_ASSERT_VECTOR_ONLY(Derived)
+  return setLinSpaced(size(), low, high);
+}
+
+// zero:
+
+/** \returns an expression of a zero matrix.
+  *
+  * The parameters \a rows and \a cols are the number of rows and of columns of
+  * the returned matrix. Must be compatible with this MatrixBase type.
+  *
+  * This variant is meant to be used for dynamic-size matrix types. For fixed-size types,
+  * it is redundant to pass \a rows and \a cols as arguments, so Zero() should be used
+  * instead.
+  *
+  * Example: \include MatrixBase_zero_int_int.cpp
+  * Output: \verbinclude MatrixBase_zero_int_int.out
+  *
+  * \sa Zero(), Zero(Index)
+  */
+template<typename Derived>
+EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE const typename DenseBase<Derived>::ConstantReturnType
+DenseBase<Derived>::Zero(Index rows, Index cols)
+{
+  return Constant(rows, cols, Scalar(0));
+}
+
+/** \returns an expression of a zero vector.
+  *
+  * The parameter \a size is the size of the returned vector.
+  * Must be compatible with this MatrixBase type.
+  *
+  * \only_for_vectors
+  *
+  * This variant is meant to be used for dynamic-size vector types. For fixed-size types,
+  * it is redundant to pass \a size as argument, so Zero() should be used
+  * instead.
+  *
+  * Example: \include MatrixBase_zero_int.cpp
+  * Output: \verbinclude MatrixBase_zero_int.out
+  *
+  * \sa Zero(), Zero(Index,Index)
+  */
+template<typename Derived>
+EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE const typename DenseBase<Derived>::ConstantReturnType
+DenseBase<Derived>::Zero(Index size)
+{
+  return Constant(size, Scalar(0));
+}
+
+/** \returns an expression of a fixed-size zero matrix or vector.
+  *
+  * This variant is only for fixed-size MatrixBase types. For dynamic-size types, you
+  * need to use the variants taking size arguments.
+  *
+  * Example: \include MatrixBase_zero.cpp
+  * Output: \verbinclude MatrixBase_zero.out
+  *
+  * \sa Zero(Index), Zero(Index,Index)
+  */
+template<typename Derived>
+EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE const typename DenseBase<Derived>::ConstantReturnType
+DenseBase<Derived>::Zero()
+{
+  return Constant(Scalar(0));
+}
+
+/** \returns true if *this is approximately equal to the zero matrix,
+  *          within the precision given by \a prec.
+  *
+  * Example: \include MatrixBase_isZero.cpp
+  * Output: \verbinclude MatrixBase_isZero.out
+  *
+  * \sa class CwiseNullaryOp, Zero()
+  */
+template<typename Derived>
+EIGEN_DEVICE_FUNC bool DenseBase<Derived>::isZero(const RealScalar& prec) const
+{
+  typename internal::nested_eval<Derived,1>::type self(derived());
+  for(Index j = 0; j < cols(); ++j)
+    for(Index i = 0; i < rows(); ++i)
+      if(!internal::isMuchSmallerThan(self.coeff(i, j), static_cast<Scalar>(1), prec))
+        return false;
+  return true;
+}
+
+/** Sets all coefficients in this expression to zero.
+  *
+  * Example: \include MatrixBase_setZero.cpp
+  * Output: \verbinclude MatrixBase_setZero.out
+  *
+  * \sa class CwiseNullaryOp, Zero()
+  */
+template<typename Derived>
+EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE Derived& DenseBase<Derived>::setZero()
+{
+  return setConstant(Scalar(0));
+}
+
+/** Resizes to the given \a size, and sets all coefficients in this expression to zero.
+  *
+  * \only_for_vectors
+  *
+  * Example: \include Matrix_setZero_int.cpp
+  * Output: \verbinclude Matrix_setZero_int.out
+  *
+  * \sa DenseBase::setZero(), setZero(Index,Index), class CwiseNullaryOp, DenseBase::Zero()
+  */
+template<typename Derived>
+EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE Derived&
+PlainObjectBase<Derived>::setZero(Index newSize)
+{
+  resize(newSize);
+  return setConstant(Scalar(0));
+}
+
+/** Resizes to the given size, and sets all coefficients in this expression to zero.
+  *
+  * \param rows the new number of rows
+  * \param cols the new number of columns
+  *
+  * Example: \include Matrix_setZero_int_int.cpp
+  * Output: \verbinclude Matrix_setZero_int_int.out
+  *
+  * \sa DenseBase::setZero(), setZero(Index), class CwiseNullaryOp, DenseBase::Zero()
+  */
+template<typename Derived>
+EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE Derived&
+PlainObjectBase<Derived>::setZero(Index rows, Index cols)
+{
+  resize(rows, cols);
+  return setConstant(Scalar(0));
+}
+
+// ones:
+
+/** \returns an expression of a matrix where all coefficients equal one.
+  *
+  * The parameters \a rows and \a cols are the number of rows and of columns of
+  * the returned matrix. Must be compatible with this MatrixBase type.
+  *
+  * This variant is meant to be used for dynamic-size matrix types. For fixed-size types,
+  * it is redundant to pass \a rows and \a cols as arguments, so Ones() should be used
+  * instead.
+  *
+  * Example: \include MatrixBase_ones_int_int.cpp
+  * Output: \verbinclude MatrixBase_ones_int_int.out
+  *
+  * \sa Ones(), Ones(Index), isOnes(), class Ones
+  */
+template<typename Derived>
+EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE const typename DenseBase<Derived>::ConstantReturnType
+DenseBase<Derived>::Ones(Index rows, Index cols)
+{
+  return Constant(rows, cols, Scalar(1));
+}
+
+/** \returns an expression of a vector where all coefficients equal one.
+  *
+  * The parameter \a newSize is the size of the returned vector.
+  * Must be compatible with this MatrixBase type.
+  *
+  * \only_for_vectors
+  *
+  * This variant is meant to be used for dynamic-size vector types. For fixed-size types,
+  * it is redundant to pass \a size as argument, so Ones() should be used
+  * instead.
+  *
+  * Example: \include MatrixBase_ones_int.cpp
+  * Output: \verbinclude MatrixBase_ones_int.out
+  *
+  * \sa Ones(), Ones(Index,Index), isOnes(), class Ones
+  */
+template<typename Derived>
+EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE const typename DenseBase<Derived>::ConstantReturnType
+DenseBase<Derived>::Ones(Index newSize)
+{
+  return Constant(newSize, Scalar(1));
+}
+
+/** \returns an expression of a fixed-size matrix or vector where all coefficients equal one.
+  *
+  * This variant is only for fixed-size MatrixBase types. For dynamic-size types, you
+  * need to use the variants taking size arguments.
+  *
+  * Example: \include MatrixBase_ones.cpp
+  * Output: \verbinclude MatrixBase_ones.out
+  *
+  * \sa Ones(Index), Ones(Index,Index), isOnes(), class Ones
+  */
+template<typename Derived>
+EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE const typename DenseBase<Derived>::ConstantReturnType
+DenseBase<Derived>::Ones()
+{
+  return Constant(Scalar(1));
+}
+
+/** \returns true if *this is approximately equal to the matrix where all coefficients
+  *          are equal to 1, within the precision given by \a prec.
+  *
+  * Example: \include MatrixBase_isOnes.cpp
+  * Output: \verbinclude MatrixBase_isOnes.out
+  *
+  * \sa class CwiseNullaryOp, Ones()
+  */
+template<typename Derived>
+EIGEN_DEVICE_FUNC bool DenseBase<Derived>::isOnes
+(const RealScalar& prec) const
+{
+  return isApproxToConstant(Scalar(1), prec);
+}
+
+/** Sets all coefficients in this expression to one.
+  *
+  * Example: \include MatrixBase_setOnes.cpp
+  * Output: \verbinclude MatrixBase_setOnes.out
+  *
+  * \sa class CwiseNullaryOp, Ones()
+  */
+template<typename Derived>
+EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE Derived& DenseBase<Derived>::setOnes()
+{
+  return setConstant(Scalar(1));
+}
+
+/** Resizes to the given \a newSize, and sets all coefficients in this expression to one.
+  *
+  * \only_for_vectors
+  *
+  * Example: \include Matrix_setOnes_int.cpp
+  * Output: \verbinclude Matrix_setOnes_int.out
+  *
+  * \sa MatrixBase::setOnes(), setOnes(Index,Index), class CwiseNullaryOp, MatrixBase::Ones()
+  */
+template<typename Derived>
+EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE Derived&
+PlainObjectBase<Derived>::setOnes(Index newSize)
+{
+  resize(newSize);
+  return setConstant(Scalar(1));
+}
+
+/** Resizes to the given size, and sets all coefficients in this expression to one.
+  *
+  * \param rows the new number of rows
+  * \param cols the new number of columns
+  *
+  * Example: \include Matrix_setOnes_int_int.cpp
+  * Output: \verbinclude Matrix_setOnes_int_int.out
+  *
+  * \sa MatrixBase::setOnes(), setOnes(Index), class CwiseNullaryOp, MatrixBase::Ones()
+  */
+template<typename Derived>
+EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE Derived&
+PlainObjectBase<Derived>::setOnes(Index rows, Index cols)
+{
+  resize(rows, cols);
+  return setConstant(Scalar(1));
+}
+
+// Identity:
+
+/** \returns an expression of the identity matrix (not necessarily square).
+  *
+  * The parameters \a rows and \a cols are the number of rows and of columns of
+  * the returned matrix. Must be compatible with this MatrixBase type.
+  *
+  * This variant is meant to be used for dynamic-size matrix types. For fixed-size types,
+  * it is redundant to pass \a rows and \a cols as arguments, so Identity() should be used
+  * instead.
+  *
+  * Example: \include MatrixBase_identity_int_int.cpp
+  * Output: \verbinclude MatrixBase_identity_int_int.out
+  *
+  * \sa Identity(), setIdentity(), isIdentity()
+  */
+template<typename Derived>
+EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE const typename MatrixBase<Derived>::IdentityReturnType
+MatrixBase<Derived>::Identity(Index rows, Index cols)
+{
+  return DenseBase<Derived>::NullaryExpr(rows, cols, internal::scalar_identity_op<Scalar>());
+}
+
+/** \returns an expression of the identity matrix (not necessarily square).
+  *
+  * This variant is only for fixed-size MatrixBase types. For dynamic-size types, you
+  * need to use the variant taking size arguments.
+  *
+  * Example: \include MatrixBase_identity.cpp
+  * Output: \verbinclude MatrixBase_identity.out
+  *
+  * \sa Identity(Index,Index), setIdentity(), isIdentity()
+  */
+template<typename Derived>
+EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE const typename MatrixBase<Derived>::IdentityReturnType
+MatrixBase<Derived>::Identity()
+{
+  EIGEN_STATIC_ASSERT_FIXED_SIZE(Derived)
+  return MatrixBase<Derived>::NullaryExpr(RowsAtCompileTime, ColsAtCompileTime, internal::scalar_identity_op<Scalar>());
+}
+
+/** \returns true if *this is approximately equal to the identity matrix
+  *          (not necessarily square),
+  *          within the precision given by \a prec.
+  *
+  * Example: \include MatrixBase_isIdentity.cpp
+  * Output: \verbinclude MatrixBase_isIdentity.out
+  *
+  * \sa class CwiseNullaryOp, Identity(), Identity(Index,Index), setIdentity()
+  */
+template<typename Derived>
+bool MatrixBase<Derived>::isIdentity
+(const RealScalar& prec) const
+{
+  typename internal::nested_eval<Derived,1>::type self(derived());
+  for(Index j = 0; j < cols(); ++j)
+  {
+    for(Index i = 0; i < rows(); ++i)
+    {
+      if(i == j)
+      {
+        if(!internal::isApprox(self.coeff(i, j), static_cast<Scalar>(1), prec))
+          return false;
+      }
+      else
+      {
+        if(!internal::isMuchSmallerThan(self.coeff(i, j), static_cast<RealScalar>(1), prec))
+          return false;
+      }
+    }
+  }
+  return true;
+}
+
+namespace internal {
+
+template<typename Derived, bool Big = (Derived::SizeAtCompileTime>=16)>
+struct setIdentity_impl
+{
+  EIGEN_DEVICE_FUNC
+  static EIGEN_STRONG_INLINE Derived& run(Derived& m)
+  {
+    return m = Derived::Identity(m.rows(), m.cols());
+  }
+};
+
+template<typename Derived>
+struct setIdentity_impl<Derived, true>
+{
+  EIGEN_DEVICE_FUNC
+  static EIGEN_STRONG_INLINE Derived& run(Derived& m)
+  {
+    m.setZero();
+    const Index size = numext::mini(m.rows(), m.cols());
+    for(Index i = 0; i < size; ++i) m.coeffRef(i,i) = typename Derived::Scalar(1);
+    return m;
+  }
+};
+
+} // end namespace internal
+
+/** Writes the identity expression (not necessarily square) into *this.
+  *
+  * Example: \include MatrixBase_setIdentity.cpp
+  * Output: \verbinclude MatrixBase_setIdentity.out
+  *
+  * \sa class CwiseNullaryOp, Identity(), Identity(Index,Index), isIdentity()
+  */
+template<typename Derived>
+EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE Derived& MatrixBase<Derived>::setIdentity()
+{
+  return internal::setIdentity_impl<Derived>::run(derived());
+}
+
+/** \brief Resizes to the given size, and writes the identity expression (not necessarily square) into *this.
+  *
+  * \param rows the new number of rows
+  * \param cols the new number of columns
+  *
+  * Example: \include Matrix_setIdentity_int_int.cpp
+  * Output: \verbinclude Matrix_setIdentity_int_int.out
+  *
+  * \sa MatrixBase::setIdentity(), class CwiseNullaryOp, MatrixBase::Identity()
+  */
+template<typename Derived>
+EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE Derived& MatrixBase<Derived>::setIdentity(Index rows, Index cols)
+{
+  derived().resize(rows, cols);
+  return setIdentity();
+}
+
+/** \returns an expression of the i-th unit (basis) vector.
+  *
+  * \only_for_vectors
+  *
+  * \sa MatrixBase::Unit(Index), MatrixBase::UnitX(), MatrixBase::UnitY(), MatrixBase::UnitZ(), MatrixBase::UnitW()
+  */
+template<typename Derived>
+EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE const typename MatrixBase<Derived>::BasisReturnType MatrixBase<Derived>::Unit(Index newSize, Index i)
+{
+  EIGEN_STATIC_ASSERT_VECTOR_ONLY(Derived)
+  return BasisReturnType(SquareMatrixType::Identity(newSize,newSize), i);
+}
+
+/** \returns an expression of the i-th unit (basis) vector.
+  *
+  * \only_for_vectors
+  *
+  * This variant is for fixed-size vector only.
+  *
+  * \sa MatrixBase::Unit(Index,Index), MatrixBase::UnitX(), MatrixBase::UnitY(), MatrixBase::UnitZ(), MatrixBase::UnitW()
+  */
+template<typename Derived>
+EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE const typename MatrixBase<Derived>::BasisReturnType MatrixBase<Derived>::Unit(Index i)
+{
+  EIGEN_STATIC_ASSERT_VECTOR_ONLY(Derived)
+  return BasisReturnType(SquareMatrixType::Identity(),i);
+}
+
+/** \returns an expression of the X axis unit vector (1{,0}^*)
+  *
+  * \only_for_vectors
+  *
+  * \sa MatrixBase::Unit(Index,Index), MatrixBase::Unit(Index), MatrixBase::UnitY(), MatrixBase::UnitZ(), MatrixBase::UnitW()
+  */
+template<typename Derived>
+EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE const typename MatrixBase<Derived>::BasisReturnType MatrixBase<Derived>::UnitX()
+{ return Derived::Unit(0); }
+
+/** \returns an expression of the Y axis unit vector (0,1{,0}^*)
+  *
+  * \only_for_vectors
+  *
+  * \sa MatrixBase::Unit(Index,Index), MatrixBase::Unit(Index), MatrixBase::UnitY(), MatrixBase::UnitZ(), MatrixBase::UnitW()
+  */
+template<typename Derived>
+EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE const typename MatrixBase<Derived>::BasisReturnType MatrixBase<Derived>::UnitY()
+{ return Derived::Unit(1); }
+
+/** \returns an expression of the Z axis unit vector (0,0,1{,0}^*)
+  *
+  * \only_for_vectors
+  *
+  * \sa MatrixBase::Unit(Index,Index), MatrixBase::Unit(Index), MatrixBase::UnitY(), MatrixBase::UnitZ(), MatrixBase::UnitW()
+  */
+template<typename Derived>
+EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE const typename MatrixBase<Derived>::BasisReturnType MatrixBase<Derived>::UnitZ()
+{ return Derived::Unit(2); }
+
+/** \returns an expression of the W axis unit vector (0,0,0,1)
+  *
+  * \only_for_vectors
+  *
+  * \sa MatrixBase::Unit(Index,Index), MatrixBase::Unit(Index), MatrixBase::UnitY(), MatrixBase::UnitZ(), MatrixBase::UnitW()
+  */
+template<typename Derived>
+EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE const typename MatrixBase<Derived>::BasisReturnType MatrixBase<Derived>::UnitW()
+{ return Derived::Unit(3); }
+
+} // end namespace Eigen
+
+#endif // EIGEN_CWISE_NULLARY_OP_H
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/NumTraits.h
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/NumTraits.h	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/NumTraits.h	(revision 3761)
@@ -0,0 +1,248 @@
+// This file is part of Eigen, a lightweight C++ template library
+// for linear algebra.
+//
+// Copyright (C) 2006-2010 Benoit Jacob <jacob.benoit.1@gmail.com>
+//
+// This Source Code Form is subject to the terms of the Mozilla
+// Public License v. 2.0. If a copy of the MPL was not distributed
+// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
+
+#ifndef EIGEN_NUMTRAITS_H
+#define EIGEN_NUMTRAITS_H
+
+namespace Eigen {
+
+namespace internal {
+
+// default implementation of digits10(), based on numeric_limits if specialized,
+// 0 for integer types, and log10(epsilon()) otherwise.
+template< typename T,
+          bool use_numeric_limits = std::numeric_limits<T>::is_specialized,
+          bool is_integer = NumTraits<T>::IsInteger>
+struct default_digits10_impl
+{
+  static int run() { return std::numeric_limits<T>::digits10; }
+};
+
+template<typename T>
+struct default_digits10_impl<T,false,false> // Floating point
+{
+  static int run() {
+    using std::log10;
+    using std::ceil;
+    typedef typename NumTraits<T>::Real Real;
+    return int(ceil(-log10(NumTraits<Real>::epsilon())));
+  }
+};
+
+template<typename T>
+struct default_digits10_impl<T,false,true> // Integer
+{
+  static int run() { return 0; }
+};
+
+} // end namespace internal
+
+/** \class NumTraits
+  * \ingroup Core_Module
+  *
+  * \brief Holds information about the various numeric (i.e. scalar) types allowed by Eigen.
+  *
+  * \tparam T the numeric type at hand
+  *
+  * This class stores enums, typedefs and static methods giving information about a numeric type.
+  *
+  * The provided data consists of:
+  * \li A typedef \c Real, giving the "real part" type of \a T. If \a T is already real,
+  *     then \c Real is just a typedef to \a T. If \a T is \c std::complex<U> then \c Real
+  *     is a typedef to \a U.
+  * \li A typedef \c NonInteger, giving the type that should be used for operations producing non-integral values,
+  *     such as quotients, square roots, etc. If \a T is a floating-point type, then this typedef just gives
+  *     \a T again. Note however that many Eigen functions such as internal::sqrt simply refuse to
+  *     take integers. Outside of a few cases, Eigen doesn't do automatic type promotion. Thus, this typedef is
+  *     only intended as a helper for code that needs to explicitly promote types.
+  * \li A typedef \c Literal giving the type to use for numeric literals such as "2" or "0.5". For instance, for \c std::complex<U>, Literal is defined as \c U.
+  *     Of course, this type must be fully compatible with \a T. In doubt, just use \a T here.
+  * \li A typedef \a Nested giving the type to use to nest a value inside of the expression tree. If you don't know what
+  *     this means, just use \a T here.
+  * \li An enum value \a IsComplex. It is equal to 1 if \a T is a \c std::complex
+  *     type, and to 0 otherwise.
+  * \li An enum value \a IsInteger. It is equal to \c 1 if \a T is an integer type such as \c int,
+  *     and to \c 0 otherwise.
+  * \li Enum values ReadCost, AddCost and MulCost representing a rough estimate of the number of CPU cycles needed
+  *     to by move / add / mul instructions respectively, assuming the data is already stored in CPU registers.
+  *     Stay vague here. No need to do architecture-specific stuff.
+  * \li An enum value \a IsSigned. It is equal to \c 1 if \a T is a signed type and to 0 if \a T is unsigned.
+  * \li An enum value \a RequireInitialization. It is equal to \c 1 if the constructor of the numeric type \a T must
+  *     be called, and to 0 if it is safe not to call it. Default is 0 if \a T is an arithmetic type, and 1 otherwise.
+  * \li An epsilon() function which, unlike <a href="http://en.cppreference.com/w/cpp/types/numeric_limits/epsilon">std::numeric_limits::epsilon()</a>,
+  *     it returns a \a Real instead of a \a T.
+  * \li A dummy_precision() function returning a weak epsilon value. It is mainly used as a default
+  *     value by the fuzzy comparison operators.
+  * \li highest() and lowest() functions returning the highest and lowest possible values respectively.
+  * \li digits10() function returning the number of decimal digits that can be represented without change. This is
+  *     the analogue of <a href="http://en.cppreference.com/w/cpp/types/numeric_limits/digits10">std::numeric_limits<T>::digits10</a>
+  *     which is used as the default implementation if specialized.
+  */
+
+template<typename T> struct GenericNumTraits
+{
+  enum {
+    IsInteger = std::numeric_limits<T>::is_integer,
+    IsSigned = std::numeric_limits<T>::is_signed,
+    IsComplex = 0,
+    RequireInitialization = internal::is_arithmetic<T>::value ? 0 : 1,
+    ReadCost = 1,
+    AddCost = 1,
+    MulCost = 1
+  };
+
+  typedef T Real;
+  typedef typename internal::conditional<
+                     IsInteger,
+                     typename internal::conditional<sizeof(T)<=2, float, double>::type,
+                     T
+                   >::type NonInteger;
+  typedef T Nested;
+  typedef T Literal;
+
+  EIGEN_DEVICE_FUNC
+  static inline Real epsilon()
+  {
+    return numext::numeric_limits<T>::epsilon();
+  }
+
+  EIGEN_DEVICE_FUNC
+  static inline int digits10()
+  {
+    return internal::default_digits10_impl<T>::run();
+  }
+
+  EIGEN_DEVICE_FUNC
+  static inline Real dummy_precision()
+  {
+    // make sure to override this for floating-point types
+    return Real(0);
+  }
+
+
+  EIGEN_DEVICE_FUNC
+  static inline T highest() {
+    return (numext::numeric_limits<T>::max)();
+  }
+
+  EIGEN_DEVICE_FUNC
+  static inline T lowest()  {
+    return IsInteger ? (numext::numeric_limits<T>::min)() : (-(numext::numeric_limits<T>::max)());
+  }
+
+  EIGEN_DEVICE_FUNC
+  static inline T infinity() {
+    return numext::numeric_limits<T>::infinity();
+  }
+
+  EIGEN_DEVICE_FUNC
+  static inline T quiet_NaN() {
+    return numext::numeric_limits<T>::quiet_NaN();
+  }
+};
+
+template<typename T> struct NumTraits : GenericNumTraits<T>
+{};
+
+template<> struct NumTraits<float>
+  : GenericNumTraits<float>
+{
+  EIGEN_DEVICE_FUNC
+  static inline float dummy_precision() { return 1e-5f; }
+};
+
+template<> struct NumTraits<double> : GenericNumTraits<double>
+{
+  EIGEN_DEVICE_FUNC
+  static inline double dummy_precision() { return 1e-12; }
+};
+
+template<> struct NumTraits<long double>
+  : GenericNumTraits<long double>
+{
+  static inline long double dummy_precision() { return 1e-15l; }
+};
+
+template<typename _Real> struct NumTraits<std::complex<_Real> >
+  : GenericNumTraits<std::complex<_Real> >
+{
+  typedef _Real Real;
+  typedef typename NumTraits<_Real>::Literal Literal;
+  enum {
+    IsComplex = 1,
+    RequireInitialization = NumTraits<_Real>::RequireInitialization,
+    ReadCost = 2 * NumTraits<_Real>::ReadCost,
+    AddCost = 2 * NumTraits<Real>::AddCost,
+    MulCost = 4 * NumTraits<Real>::MulCost + 2 * NumTraits<Real>::AddCost
+  };
+
+  EIGEN_DEVICE_FUNC
+  static inline Real epsilon() { return NumTraits<Real>::epsilon(); }
+  EIGEN_DEVICE_FUNC
+  static inline Real dummy_precision() { return NumTraits<Real>::dummy_precision(); }
+  EIGEN_DEVICE_FUNC
+  static inline int digits10() { return NumTraits<Real>::digits10(); }
+};
+
+template<typename Scalar, int Rows, int Cols, int Options, int MaxRows, int MaxCols>
+struct NumTraits<Array<Scalar, Rows, Cols, Options, MaxRows, MaxCols> >
+{
+  typedef Array<Scalar, Rows, Cols, Options, MaxRows, MaxCols> ArrayType;
+  typedef typename NumTraits<Scalar>::Real RealScalar;
+  typedef Array<RealScalar, Rows, Cols, Options, MaxRows, MaxCols> Real;
+  typedef typename NumTraits<Scalar>::NonInteger NonIntegerScalar;
+  typedef Array<NonIntegerScalar, Rows, Cols, Options, MaxRows, MaxCols> NonInteger;
+  typedef ArrayType & Nested;
+  typedef typename NumTraits<Scalar>::Literal Literal;
+
+  enum {
+    IsComplex = NumTraits<Scalar>::IsComplex,
+    IsInteger = NumTraits<Scalar>::IsInteger,
+    IsSigned  = NumTraits<Scalar>::IsSigned,
+    RequireInitialization = 1,
+    ReadCost = ArrayType::SizeAtCompileTime==Dynamic ? HugeCost : ArrayType::SizeAtCompileTime * NumTraits<Scalar>::ReadCost,
+    AddCost  = ArrayType::SizeAtCompileTime==Dynamic ? HugeCost : ArrayType::SizeAtCompileTime * NumTraits<Scalar>::AddCost,
+    MulCost  = ArrayType::SizeAtCompileTime==Dynamic ? HugeCost : ArrayType::SizeAtCompileTime * NumTraits<Scalar>::MulCost
+  };
+
+  EIGEN_DEVICE_FUNC
+  static inline RealScalar epsilon() { return NumTraits<RealScalar>::epsilon(); }
+  EIGEN_DEVICE_FUNC
+  static inline RealScalar dummy_precision() { return NumTraits<RealScalar>::dummy_precision(); }
+
+  static inline int digits10() { return NumTraits<Scalar>::digits10(); }
+};
+
+template<> struct NumTraits<std::string>
+  : GenericNumTraits<std::string>
+{
+  enum {
+    RequireInitialization = 1,
+    ReadCost = HugeCost,
+    AddCost  = HugeCost,
+    MulCost  = HugeCost
+  };
+
+  static inline int digits10() { return 0; }
+
+private:
+  static inline std::string epsilon();
+  static inline std::string dummy_precision();
+  static inline std::string lowest();
+  static inline std::string highest();
+  static inline std::string infinity();
+  static inline std::string quiet_NaN();
+};
+
+// Empty specialization for void to allow template specialization based on NumTraits<T>::Real with T==void and SFINAE.
+template<> struct NumTraits<void> {};
+
+} // end namespace Eigen
+
+#endif // EIGEN_NUMTRAITS_H
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/BooleanRedux.h
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/BooleanRedux.h	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/BooleanRedux.h	(revision 3761)
@@ -0,0 +1,164 @@
+// This file is part of Eigen, a lightweight C++ template library
+// for linear algebra.
+//
+// Copyright (C) 2008 Gael Guennebaud <gael.guennebaud@inria.fr>
+//
+// This Source Code Form is subject to the terms of the Mozilla
+// Public License v. 2.0. If a copy of the MPL was not distributed
+// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
+
+#ifndef EIGEN_ALLANDANY_H
+#define EIGEN_ALLANDANY_H
+
+namespace Eigen { 
+
+namespace internal {
+
+template<typename Derived, int UnrollCount>
+struct all_unroller
+{
+  typedef typename Derived::ExpressionTraits Traits;
+  enum {
+    col = (UnrollCount-1) / Traits::RowsAtCompileTime,
+    row = (UnrollCount-1) % Traits::RowsAtCompileTime
+  };
+
+  static inline bool run(const Derived &mat)
+  {
+    return all_unroller<Derived, UnrollCount-1>::run(mat) && mat.coeff(row, col);
+  }
+};
+
+template<typename Derived>
+struct all_unroller<Derived, 0>
+{
+  static inline bool run(const Derived &/*mat*/) { return true; }
+};
+
+template<typename Derived>
+struct all_unroller<Derived, Dynamic>
+{
+  static inline bool run(const Derived &) { return false; }
+};
+
+template<typename Derived, int UnrollCount>
+struct any_unroller
+{
+  typedef typename Derived::ExpressionTraits Traits;
+  enum {
+    col = (UnrollCount-1) / Traits::RowsAtCompileTime,
+    row = (UnrollCount-1) % Traits::RowsAtCompileTime
+  };
+  
+  static inline bool run(const Derived &mat)
+  {
+    return any_unroller<Derived, UnrollCount-1>::run(mat) || mat.coeff(row, col);
+  }
+};
+
+template<typename Derived>
+struct any_unroller<Derived, 0>
+{
+  static inline bool run(const Derived & /*mat*/) { return false; }
+};
+
+template<typename Derived>
+struct any_unroller<Derived, Dynamic>
+{
+  static inline bool run(const Derived &) { return false; }
+};
+
+} // end namespace internal
+
+/** \returns true if all coefficients are true
+  *
+  * Example: \include MatrixBase_all.cpp
+  * Output: \verbinclude MatrixBase_all.out
+  *
+  * \sa any(), Cwise::operator<()
+  */
+template<typename Derived>
+inline bool DenseBase<Derived>::all() const
+{
+  typedef internal::evaluator<Derived> Evaluator;
+  enum {
+    unroll = SizeAtCompileTime != Dynamic
+          && SizeAtCompileTime * (Evaluator::CoeffReadCost + NumTraits<Scalar>::AddCost) <= EIGEN_UNROLLING_LIMIT
+  };
+  Evaluator evaluator(derived());
+  if(unroll)
+    return internal::all_unroller<Evaluator, unroll ? int(SizeAtCompileTime) : Dynamic>::run(evaluator);
+  else
+  {
+    for(Index j = 0; j < cols(); ++j)
+      for(Index i = 0; i < rows(); ++i)
+        if (!evaluator.coeff(i, j)) return false;
+    return true;
+  }
+}
+
+/** \returns true if at least one coefficient is true
+  *
+  * \sa all()
+  */
+template<typename Derived>
+inline bool DenseBase<Derived>::any() const
+{
+  typedef internal::evaluator<Derived> Evaluator;
+  enum {
+    unroll = SizeAtCompileTime != Dynamic
+          && SizeAtCompileTime * (Evaluator::CoeffReadCost + NumTraits<Scalar>::AddCost) <= EIGEN_UNROLLING_LIMIT
+  };
+  Evaluator evaluator(derived());
+  if(unroll)
+    return internal::any_unroller<Evaluator, unroll ? int(SizeAtCompileTime) : Dynamic>::run(evaluator);
+  else
+  {
+    for(Index j = 0; j < cols(); ++j)
+      for(Index i = 0; i < rows(); ++i)
+        if (evaluator.coeff(i, j)) return true;
+    return false;
+  }
+}
+
+/** \returns the number of coefficients which evaluate to true
+  *
+  * \sa all(), any()
+  */
+template<typename Derived>
+inline Eigen::Index DenseBase<Derived>::count() const
+{
+  return derived().template cast<bool>().template cast<Index>().sum();
+}
+
+/** \returns true is \c *this contains at least one Not A Number (NaN).
+  *
+  * \sa allFinite()
+  */
+template<typename Derived>
+inline bool DenseBase<Derived>::hasNaN() const
+{
+#if EIGEN_COMP_MSVC || (defined __FAST_MATH__)
+  return derived().array().isNaN().any();
+#else
+  return !((derived().array()==derived().array()).all());
+#endif
+}
+
+/** \returns true if \c *this contains only finite numbers, i.e., no NaN and no +/-INF values.
+  *
+  * \sa hasNaN()
+  */
+template<typename Derived>
+inline bool DenseBase<Derived>::allFinite() const
+{
+#if EIGEN_COMP_MSVC || (defined __FAST_MATH__)
+  return derived().array().isFinite().all();
+#else
+  return !((derived()-derived()).hasNaN());
+#endif
+}
+    
+} // end namespace Eigen
+
+#endif // EIGEN_ALLANDANY_H
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/Assign_MKL.h
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/Assign_MKL.h	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/Assign_MKL.h	(revision 3761)
@@ -0,0 +1,178 @@
+/*
+ Copyright (c) 2011, Intel Corporation. All rights reserved.
+ Copyright (C) 2015 Gael Guennebaud <gael.guennebaud@inria.fr>
+ 
+ Redistribution and use in source and binary forms, with or without modification,
+ are permitted provided that the following conditions are met:
+
+ * Redistributions of source code must retain the above copyright notice, this
+   list of conditions and the following disclaimer.
+ * Redistributions in binary form must reproduce the above copyright notice,
+   this list of conditions and the following disclaimer in the documentation
+   and/or other materials provided with the distribution.
+ * Neither the name of Intel Corporation nor the names of its contributors may
+   be used to endorse or promote products derived from this software without
+   specific prior written permission.
+
+ THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND
+ ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED
+ WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
+ DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE LIABLE FOR
+ ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES
+ (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES;
+ LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON
+ ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
+ (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS
+ SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
+
+ ********************************************************************************
+ *   Content : Eigen bindings to Intel(R) MKL
+ *   MKL VML support for coefficient-wise unary Eigen expressions like a=b.sin()
+ ********************************************************************************
+*/
+
+#ifndef EIGEN_ASSIGN_VML_H
+#define EIGEN_ASSIGN_VML_H
+
+namespace Eigen { 
+
+namespace internal {
+
+template<typename Dst, typename Src>
+class vml_assign_traits
+{
+  private:
+    enum {
+      DstHasDirectAccess = Dst::Flags & DirectAccessBit,
+      SrcHasDirectAccess = Src::Flags & DirectAccessBit,
+      StorageOrdersAgree = (int(Dst::IsRowMajor) == int(Src::IsRowMajor)),
+      InnerSize = int(Dst::IsVectorAtCompileTime) ? int(Dst::SizeAtCompileTime)
+                : int(Dst::Flags)&RowMajorBit ? int(Dst::ColsAtCompileTime)
+                : int(Dst::RowsAtCompileTime),
+      InnerMaxSize  = int(Dst::IsVectorAtCompileTime) ? int(Dst::MaxSizeAtCompileTime)
+                    : int(Dst::Flags)&RowMajorBit ? int(Dst::MaxColsAtCompileTime)
+                    : int(Dst::MaxRowsAtCompileTime),
+      MaxSizeAtCompileTime = Dst::SizeAtCompileTime,
+
+      MightEnableVml = StorageOrdersAgree && DstHasDirectAccess && SrcHasDirectAccess && Src::InnerStrideAtCompileTime==1 && Dst::InnerStrideAtCompileTime==1,
+      MightLinearize = MightEnableVml && (int(Dst::Flags) & int(Src::Flags) & LinearAccessBit),
+      VmlSize = MightLinearize ? MaxSizeAtCompileTime : InnerMaxSize,
+      LargeEnough = VmlSize==Dynamic || VmlSize>=EIGEN_MKL_VML_THRESHOLD
+    };
+  public:
+    enum {
+      EnableVml = MightEnableVml && LargeEnough,
+      Traversal = MightLinearize ? LinearTraversal : DefaultTraversal
+    };
+};
+
+#define EIGEN_PP_EXPAND(ARG) ARG
+#if !defined (EIGEN_FAST_MATH) || (EIGEN_FAST_MATH != 1)
+#define EIGEN_VMLMODE_EXPAND_LA , VML_HA
+#else
+#define EIGEN_VMLMODE_EXPAND_LA , VML_LA
+#endif
+
+#define EIGEN_VMLMODE_EXPAND__ 
+
+#define EIGEN_VMLMODE_PREFIX_LA vm
+#define EIGEN_VMLMODE_PREFIX__  v
+#define EIGEN_VMLMODE_PREFIX(VMLMODE) EIGEN_CAT(EIGEN_VMLMODE_PREFIX_,VMLMODE)
+
+#define EIGEN_MKL_VML_DECLARE_UNARY_CALL(EIGENOP, VMLOP, EIGENTYPE, VMLTYPE, VMLMODE)                                           \
+  template< typename DstXprType, typename SrcXprNested>                                                                         \
+  struct Assignment<DstXprType, CwiseUnaryOp<scalar_##EIGENOP##_op<EIGENTYPE>, SrcXprNested>, assign_op<EIGENTYPE,EIGENTYPE>,   \
+                   Dense2Dense, typename enable_if<vml_assign_traits<DstXprType,SrcXprNested>::EnableVml>::type> {              \
+    typedef CwiseUnaryOp<scalar_##EIGENOP##_op<EIGENTYPE>, SrcXprNested> SrcXprType;                                            \
+    static void run(DstXprType &dst, const SrcXprType &src, const assign_op<EIGENTYPE,EIGENTYPE> &func) {                       \
+      resize_if_allowed(dst, src, func);                                                                                        \
+      eigen_assert(dst.rows() == src.rows() && dst.cols() == src.cols());                                                       \
+      if(vml_assign_traits<DstXprType,SrcXprNested>::Traversal==LinearTraversal) {                                              \
+        VMLOP(dst.size(), (const VMLTYPE*)src.nestedExpression().data(),                                                        \
+              (VMLTYPE*)dst.data() EIGEN_PP_EXPAND(EIGEN_VMLMODE_EXPAND_##VMLMODE) );                                           \
+      } else {                                                                                                                  \
+        const Index outerSize = dst.outerSize();                                                                                \
+        for(Index outer = 0; outer < outerSize; ++outer) {                                                                      \
+          const EIGENTYPE *src_ptr = src.IsRowMajor ? &(src.nestedExpression().coeffRef(outer,0)) :                             \
+                                                      &(src.nestedExpression().coeffRef(0, outer));                             \
+          EIGENTYPE *dst_ptr = dst.IsRowMajor ? &(dst.coeffRef(outer,0)) : &(dst.coeffRef(0, outer));                           \
+          VMLOP( dst.innerSize(), (const VMLTYPE*)src_ptr,                                                                      \
+                (VMLTYPE*)dst_ptr EIGEN_PP_EXPAND(EIGEN_VMLMODE_EXPAND_##VMLMODE));                                             \
+        }                                                                                                                       \
+      }                                                                                                                         \
+    }                                                                                                                           \
+  };                                                                                                                            \
+
+
+#define EIGEN_MKL_VML_DECLARE_UNARY_CALLS_REAL(EIGENOP, VMLOP, VMLMODE)                                                         \
+  EIGEN_MKL_VML_DECLARE_UNARY_CALL(EIGENOP, EIGEN_CAT(EIGEN_VMLMODE_PREFIX(VMLMODE),s##VMLOP), float, float, VMLMODE)           \
+  EIGEN_MKL_VML_DECLARE_UNARY_CALL(EIGENOP, EIGEN_CAT(EIGEN_VMLMODE_PREFIX(VMLMODE),d##VMLOP), double, double, VMLMODE)
+
+#define EIGEN_MKL_VML_DECLARE_UNARY_CALLS_CPLX(EIGENOP, VMLOP, VMLMODE)                                                         \
+  EIGEN_MKL_VML_DECLARE_UNARY_CALL(EIGENOP, EIGEN_CAT(EIGEN_VMLMODE_PREFIX(VMLMODE),c##VMLOP), scomplex, MKL_Complex8, VMLMODE) \
+  EIGEN_MKL_VML_DECLARE_UNARY_CALL(EIGENOP, EIGEN_CAT(EIGEN_VMLMODE_PREFIX(VMLMODE),z##VMLOP), dcomplex, MKL_Complex16, VMLMODE)
+  
+#define EIGEN_MKL_VML_DECLARE_UNARY_CALLS(EIGENOP, VMLOP, VMLMODE)                                                              \
+  EIGEN_MKL_VML_DECLARE_UNARY_CALLS_REAL(EIGENOP, VMLOP, VMLMODE)                                                               \
+  EIGEN_MKL_VML_DECLARE_UNARY_CALLS_CPLX(EIGENOP, VMLOP, VMLMODE)
+
+  
+EIGEN_MKL_VML_DECLARE_UNARY_CALLS(sin,   Sin,   LA)
+EIGEN_MKL_VML_DECLARE_UNARY_CALLS(asin,  Asin,  LA)
+EIGEN_MKL_VML_DECLARE_UNARY_CALLS(sinh,  Sinh,  LA)
+EIGEN_MKL_VML_DECLARE_UNARY_CALLS(cos,   Cos,   LA)
+EIGEN_MKL_VML_DECLARE_UNARY_CALLS(acos,  Acos,  LA)
+EIGEN_MKL_VML_DECLARE_UNARY_CALLS(cosh,  Cosh,  LA)
+EIGEN_MKL_VML_DECLARE_UNARY_CALLS(tan,   Tan,   LA)
+EIGEN_MKL_VML_DECLARE_UNARY_CALLS(atan,  Atan,  LA)
+EIGEN_MKL_VML_DECLARE_UNARY_CALLS(tanh,  Tanh,  LA)
+// EIGEN_MKL_VML_DECLARE_UNARY_CALLS(abs,   Abs,    _)
+EIGEN_MKL_VML_DECLARE_UNARY_CALLS(exp,   Exp,   LA)
+EIGEN_MKL_VML_DECLARE_UNARY_CALLS(log,   Ln,    LA)
+EIGEN_MKL_VML_DECLARE_UNARY_CALLS(log10, Log10, LA)
+EIGEN_MKL_VML_DECLARE_UNARY_CALLS(sqrt,  Sqrt,  _)
+
+EIGEN_MKL_VML_DECLARE_UNARY_CALLS_REAL(square, Sqr,   _)
+EIGEN_MKL_VML_DECLARE_UNARY_CALLS_CPLX(arg, Arg,      _)
+EIGEN_MKL_VML_DECLARE_UNARY_CALLS_REAL(round, Round,  _)
+EIGEN_MKL_VML_DECLARE_UNARY_CALLS_REAL(floor, Floor,  _)
+EIGEN_MKL_VML_DECLARE_UNARY_CALLS_REAL(ceil,  Ceil,   _)
+
+#define EIGEN_MKL_VML_DECLARE_POW_CALL(EIGENOP, VMLOP, EIGENTYPE, VMLTYPE, VMLMODE)                                           \
+  template< typename DstXprType, typename SrcXprNested, typename Plain>                                                       \
+  struct Assignment<DstXprType, CwiseBinaryOp<scalar_##EIGENOP##_op<EIGENTYPE,EIGENTYPE>, SrcXprNested,                       \
+                    const CwiseNullaryOp<internal::scalar_constant_op<EIGENTYPE>,Plain> >, assign_op<EIGENTYPE,EIGENTYPE>,    \
+                   Dense2Dense, typename enable_if<vml_assign_traits<DstXprType,SrcXprNested>::EnableVml>::type> {            \
+    typedef CwiseBinaryOp<scalar_##EIGENOP##_op<EIGENTYPE,EIGENTYPE>, SrcXprNested,                                           \
+                    const CwiseNullaryOp<internal::scalar_constant_op<EIGENTYPE>,Plain> > SrcXprType;                         \
+    static void run(DstXprType &dst, const SrcXprType &src, const assign_op<EIGENTYPE,EIGENTYPE> &func) {                     \
+      resize_if_allowed(dst, src, func);                                                                                      \
+      eigen_assert(dst.rows() == src.rows() && dst.cols() == src.cols());                                                     \
+      VMLTYPE exponent = reinterpret_cast<const VMLTYPE&>(src.rhs().functor().m_other);                                       \
+      if(vml_assign_traits<DstXprType,SrcXprNested>::Traversal==LinearTraversal)                                              \
+      {                                                                                                                       \
+        VMLOP( dst.size(), (const VMLTYPE*)src.lhs().data(), exponent,                                                        \
+              (VMLTYPE*)dst.data() EIGEN_PP_EXPAND(EIGEN_VMLMODE_EXPAND_##VMLMODE) );                                         \
+      } else {                                                                                                                \
+        const Index outerSize = dst.outerSize();                                                                              \
+        for(Index outer = 0; outer < outerSize; ++outer) {                                                                    \
+          const EIGENTYPE *src_ptr = src.IsRowMajor ? &(src.lhs().coeffRef(outer,0)) :                                        \
+                                                      &(src.lhs().coeffRef(0, outer));                                        \
+          EIGENTYPE *dst_ptr = dst.IsRowMajor ? &(dst.coeffRef(outer,0)) : &(dst.coeffRef(0, outer));                         \
+          VMLOP( dst.innerSize(), (const VMLTYPE*)src_ptr, exponent,                                                          \
+                 (VMLTYPE*)dst_ptr EIGEN_PP_EXPAND(EIGEN_VMLMODE_EXPAND_##VMLMODE));                                          \
+        }                                                                                                                     \
+      }                                                                                                                       \
+    }                                                                                                                         \
+  };
+  
+EIGEN_MKL_VML_DECLARE_POW_CALL(pow, vmsPowx, float,    float,         LA)
+EIGEN_MKL_VML_DECLARE_POW_CALL(pow, vmdPowx, double,   double,        LA)
+EIGEN_MKL_VML_DECLARE_POW_CALL(pow, vmcPowx, scomplex, MKL_Complex8,  LA)
+EIGEN_MKL_VML_DECLARE_POW_CALL(pow, vmzPowx, dcomplex, MKL_Complex16, LA)
+
+} // end namespace internal
+
+} // end namespace Eigen
+
+#endif // EIGEN_ASSIGN_VML_H
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/Solve.h
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/Solve.h	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/Solve.h	(revision 3761)
@@ -0,0 +1,188 @@
+// This file is part of Eigen, a lightweight C++ template library
+// for linear algebra.
+//
+// Copyright (C) 2014 Gael Guennebaud <gael.guennebaud@inria.fr>
+//
+// This Source Code Form is subject to the terms of the Mozilla
+// Public License v. 2.0. If a copy of the MPL was not distributed
+// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
+
+#ifndef EIGEN_SOLVE_H
+#define EIGEN_SOLVE_H
+
+namespace Eigen {
+
+template<typename Decomposition, typename RhsType, typename StorageKind> class SolveImpl;
+  
+/** \class Solve
+  * \ingroup Core_Module
+  *
+  * \brief Pseudo expression representing a solving operation
+  *
+  * \tparam Decomposition the type of the matrix or decomposion object
+  * \tparam Rhstype the type of the right-hand side
+  *
+  * This class represents an expression of A.solve(B)
+  * and most of the time this is the only way it is used.
+  *
+  */
+namespace internal {
+
+// this solve_traits class permits to determine the evaluation type with respect to storage kind (Dense vs Sparse)
+template<typename Decomposition, typename RhsType,typename StorageKind> struct solve_traits;
+
+template<typename Decomposition, typename RhsType>
+struct solve_traits<Decomposition,RhsType,Dense>
+{
+  typedef typename make_proper_matrix_type<typename RhsType::Scalar,
+                 Decomposition::ColsAtCompileTime,
+                 RhsType::ColsAtCompileTime,
+                 RhsType::PlainObject::Options,
+                 Decomposition::MaxColsAtCompileTime,
+                 RhsType::MaxColsAtCompileTime>::type PlainObject;
+};
+
+template<typename Decomposition, typename RhsType>
+struct traits<Solve<Decomposition, RhsType> >
+  : traits<typename solve_traits<Decomposition,RhsType,typename internal::traits<RhsType>::StorageKind>::PlainObject>
+{
+  typedef typename solve_traits<Decomposition,RhsType,typename internal::traits<RhsType>::StorageKind>::PlainObject PlainObject;
+  typedef typename promote_index_type<typename Decomposition::StorageIndex, typename RhsType::StorageIndex>::type StorageIndex;
+  typedef traits<PlainObject> BaseTraits;
+  enum {
+    Flags = BaseTraits::Flags & RowMajorBit,
+    CoeffReadCost = HugeCost
+  };
+};
+
+}
+
+
+template<typename Decomposition, typename RhsType>
+class Solve : public SolveImpl<Decomposition,RhsType,typename internal::traits<RhsType>::StorageKind>
+{
+public:
+  typedef typename internal::traits<Solve>::PlainObject PlainObject;
+  typedef typename internal::traits<Solve>::StorageIndex StorageIndex;
+  
+  Solve(const Decomposition &dec, const RhsType &rhs)
+    : m_dec(dec), m_rhs(rhs)
+  {}
+  
+  EIGEN_DEVICE_FUNC Index rows() const { return m_dec.cols(); }
+  EIGEN_DEVICE_FUNC Index cols() const { return m_rhs.cols(); }
+
+  EIGEN_DEVICE_FUNC const Decomposition& dec() const { return m_dec; }
+  EIGEN_DEVICE_FUNC const RhsType&       rhs() const { return m_rhs; }
+
+protected:
+  const Decomposition &m_dec;
+  const RhsType       &m_rhs;
+};
+
+
+// Specialization of the Solve expression for dense results
+template<typename Decomposition, typename RhsType>
+class SolveImpl<Decomposition,RhsType,Dense>
+  : public MatrixBase<Solve<Decomposition,RhsType> >
+{
+  typedef Solve<Decomposition,RhsType> Derived;
+  
+public:
+  
+  typedef MatrixBase<Solve<Decomposition,RhsType> > Base;
+  EIGEN_DENSE_PUBLIC_INTERFACE(Derived)
+
+private:
+  
+  Scalar coeff(Index row, Index col) const;
+  Scalar coeff(Index i) const;
+};
+
+// Generic API dispatcher
+template<typename Decomposition, typename RhsType, typename StorageKind>
+class SolveImpl : public internal::generic_xpr_base<Solve<Decomposition,RhsType>, MatrixXpr, StorageKind>::type
+{
+  public:
+    typedef typename internal::generic_xpr_base<Solve<Decomposition,RhsType>, MatrixXpr, StorageKind>::type Base;
+};
+
+namespace internal {
+
+// Evaluator of Solve -> eval into a temporary
+template<typename Decomposition, typename RhsType>
+struct evaluator<Solve<Decomposition,RhsType> >
+  : public evaluator<typename Solve<Decomposition,RhsType>::PlainObject>
+{
+  typedef Solve<Decomposition,RhsType> SolveType;
+  typedef typename SolveType::PlainObject PlainObject;
+  typedef evaluator<PlainObject> Base;
+
+  enum { Flags = Base::Flags | EvalBeforeNestingBit };
+  
+  EIGEN_DEVICE_FUNC explicit evaluator(const SolveType& solve)
+    : m_result(solve.rows(), solve.cols())
+  {
+    ::new (static_cast<Base*>(this)) Base(m_result);
+    solve.dec()._solve_impl(solve.rhs(), m_result);
+  }
+  
+protected:  
+  PlainObject m_result;
+};
+
+// Specialization for "dst = dec.solve(rhs)"
+// NOTE we need to specialize it for Dense2Dense to avoid ambiguous specialization error and a Sparse2Sparse specialization must exist somewhere
+template<typename DstXprType, typename DecType, typename RhsType, typename Scalar>
+struct Assignment<DstXprType, Solve<DecType,RhsType>, internal::assign_op<Scalar,Scalar>, Dense2Dense>
+{
+  typedef Solve<DecType,RhsType> SrcXprType;
+  static void run(DstXprType &dst, const SrcXprType &src, const internal::assign_op<Scalar,Scalar> &)
+  {
+    Index dstRows = src.rows();
+    Index dstCols = src.cols();
+    if((dst.rows()!=dstRows) || (dst.cols()!=dstCols))
+      dst.resize(dstRows, dstCols);
+
+    src.dec()._solve_impl(src.rhs(), dst);
+  }
+};
+
+// Specialization for "dst = dec.transpose().solve(rhs)"
+template<typename DstXprType, typename DecType, typename RhsType, typename Scalar>
+struct Assignment<DstXprType, Solve<Transpose<const DecType>,RhsType>, internal::assign_op<Scalar,Scalar>, Dense2Dense>
+{
+  typedef Solve<Transpose<const DecType>,RhsType> SrcXprType;
+  static void run(DstXprType &dst, const SrcXprType &src, const internal::assign_op<Scalar,Scalar> &)
+  {
+    Index dstRows = src.rows();
+    Index dstCols = src.cols();
+    if((dst.rows()!=dstRows) || (dst.cols()!=dstCols))
+      dst.resize(dstRows, dstCols);
+
+    src.dec().nestedExpression().template _solve_impl_transposed<false>(src.rhs(), dst);
+  }
+};
+
+// Specialization for "dst = dec.adjoint().solve(rhs)"
+template<typename DstXprType, typename DecType, typename RhsType, typename Scalar>
+struct Assignment<DstXprType, Solve<CwiseUnaryOp<internal::scalar_conjugate_op<typename DecType::Scalar>, const Transpose<const DecType> >,RhsType>,
+                  internal::assign_op<Scalar,Scalar>, Dense2Dense>
+{
+  typedef Solve<CwiseUnaryOp<internal::scalar_conjugate_op<typename DecType::Scalar>, const Transpose<const DecType> >,RhsType> SrcXprType;
+  static void run(DstXprType &dst, const SrcXprType &src, const internal::assign_op<Scalar,Scalar> &)
+  {
+    Index dstRows = src.rows();
+    Index dstCols = src.cols();
+    if((dst.rows()!=dstRows) || (dst.cols()!=dstCols))
+      dst.resize(dstRows, dstCols);
+    
+    src.dec().nestedExpression().nestedExpression().template _solve_impl_transposed<true>(src.rhs(), dst);
+  }
+};
+
+} // end namepsace internal
+
+} // end namespace Eigen
+
+#endif // EIGEN_SOLVE_H
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/GlobalFunctions.h
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/GlobalFunctions.h	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/GlobalFunctions.h	(revision 3761)
@@ -0,0 +1,187 @@
+// This file is part of Eigen, a lightweight C++ template library
+// for linear algebra.
+//
+// Copyright (C) 2010-2016 Gael Guennebaud <gael.guennebaud@inria.fr>
+// Copyright (C) 2010 Benoit Jacob <jacob.benoit.1@gmail.com>
+//
+// This Source Code Form is subject to the terms of the Mozilla
+// Public License v. 2.0. If a copy of the MPL was not distributed
+// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
+
+#ifndef EIGEN_GLOBAL_FUNCTIONS_H
+#define EIGEN_GLOBAL_FUNCTIONS_H
+
+#ifdef EIGEN_PARSED_BY_DOXYGEN
+
+#define EIGEN_ARRAY_DECLARE_GLOBAL_UNARY(NAME,FUNCTOR,DOC_OP,DOC_DETAILS) \
+  /** \returns an expression of the coefficient-wise DOC_OP of \a x
+
+    DOC_DETAILS
+
+    \sa <a href="group__CoeffwiseMathFunctions.html#cwisetable_##NAME">Math functions</a>, class CwiseUnaryOp
+    */ \
+  template<typename Derived> \
+  inline const Eigen::CwiseUnaryOp<Eigen::internal::FUNCTOR<typename Derived::Scalar>, const Derived> \
+  NAME(const Eigen::ArrayBase<Derived>& x);
+
+#else
+
+#define EIGEN_ARRAY_DECLARE_GLOBAL_UNARY(NAME,FUNCTOR,DOC_OP,DOC_DETAILS) \
+  template<typename Derived> \
+  inline const Eigen::CwiseUnaryOp<Eigen::internal::FUNCTOR<typename Derived::Scalar>, const Derived> \
+  (NAME)(const Eigen::ArrayBase<Derived>& x) { \
+    return Eigen::CwiseUnaryOp<Eigen::internal::FUNCTOR<typename Derived::Scalar>, const Derived>(x.derived()); \
+  }
+
+#endif // EIGEN_PARSED_BY_DOXYGEN
+
+#define EIGEN_ARRAY_DECLARE_GLOBAL_EIGEN_UNARY(NAME,FUNCTOR) \
+  \
+  template<typename Derived> \
+  struct NAME##_retval<ArrayBase<Derived> > \
+  { \
+    typedef const Eigen::CwiseUnaryOp<Eigen::internal::FUNCTOR<typename Derived::Scalar>, const Derived> type; \
+  }; \
+  template<typename Derived> \
+  struct NAME##_impl<ArrayBase<Derived> > \
+  { \
+    static inline typename NAME##_retval<ArrayBase<Derived> >::type run(const Eigen::ArrayBase<Derived>& x) \
+    { \
+      return typename NAME##_retval<ArrayBase<Derived> >::type(x.derived()); \
+    } \
+  };
+
+namespace Eigen
+{
+  EIGEN_ARRAY_DECLARE_GLOBAL_UNARY(real,scalar_real_op,real part,\sa ArrayBase::real)
+  EIGEN_ARRAY_DECLARE_GLOBAL_UNARY(imag,scalar_imag_op,imaginary part,\sa ArrayBase::imag)
+  EIGEN_ARRAY_DECLARE_GLOBAL_UNARY(conj,scalar_conjugate_op,complex conjugate,\sa ArrayBase::conjugate)
+  EIGEN_ARRAY_DECLARE_GLOBAL_UNARY(inverse,scalar_inverse_op,inverse,\sa ArrayBase::inverse)
+  EIGEN_ARRAY_DECLARE_GLOBAL_UNARY(sin,scalar_sin_op,sine,\sa ArrayBase::sin)
+  EIGEN_ARRAY_DECLARE_GLOBAL_UNARY(cos,scalar_cos_op,cosine,\sa ArrayBase::cos)
+  EIGEN_ARRAY_DECLARE_GLOBAL_UNARY(tan,scalar_tan_op,tangent,\sa ArrayBase::tan)
+  EIGEN_ARRAY_DECLARE_GLOBAL_UNARY(atan,scalar_atan_op,arc-tangent,\sa ArrayBase::atan)
+  EIGEN_ARRAY_DECLARE_GLOBAL_UNARY(asin,scalar_asin_op,arc-sine,\sa ArrayBase::asin)
+  EIGEN_ARRAY_DECLARE_GLOBAL_UNARY(acos,scalar_acos_op,arc-consine,\sa ArrayBase::acos)
+  EIGEN_ARRAY_DECLARE_GLOBAL_UNARY(sinh,scalar_sinh_op,hyperbolic sine,\sa ArrayBase::sinh)
+  EIGEN_ARRAY_DECLARE_GLOBAL_UNARY(cosh,scalar_cosh_op,hyperbolic cosine,\sa ArrayBase::cosh)
+  EIGEN_ARRAY_DECLARE_GLOBAL_UNARY(tanh,scalar_tanh_op,hyperbolic tangent,\sa ArrayBase::tanh)
+  EIGEN_ARRAY_DECLARE_GLOBAL_UNARY(lgamma,scalar_lgamma_op,natural logarithm of the gamma function,\sa ArrayBase::lgamma)
+  EIGEN_ARRAY_DECLARE_GLOBAL_UNARY(digamma,scalar_digamma_op,derivative of lgamma,\sa ArrayBase::digamma)
+  EIGEN_ARRAY_DECLARE_GLOBAL_UNARY(erf,scalar_erf_op,error function,\sa ArrayBase::erf)
+  EIGEN_ARRAY_DECLARE_GLOBAL_UNARY(erfc,scalar_erfc_op,complement error function,\sa ArrayBase::erfc)
+  EIGEN_ARRAY_DECLARE_GLOBAL_UNARY(exp,scalar_exp_op,exponential,\sa ArrayBase::exp)
+  EIGEN_ARRAY_DECLARE_GLOBAL_UNARY(log,scalar_log_op,natural logarithm,\sa Eigen::log10 DOXCOMMA ArrayBase::log)
+  EIGEN_ARRAY_DECLARE_GLOBAL_UNARY(log1p,scalar_log1p_op,natural logarithm of 1 plus the value,\sa ArrayBase::log1p)
+  EIGEN_ARRAY_DECLARE_GLOBAL_UNARY(log10,scalar_log10_op,base 10 logarithm,\sa Eigen::log DOXCOMMA ArrayBase::log)
+  EIGEN_ARRAY_DECLARE_GLOBAL_UNARY(abs,scalar_abs_op,absolute value,\sa ArrayBase::abs DOXCOMMA MatrixBase::cwiseAbs)
+  EIGEN_ARRAY_DECLARE_GLOBAL_UNARY(abs2,scalar_abs2_op,squared absolute value,\sa ArrayBase::abs2 DOXCOMMA MatrixBase::cwiseAbs2)
+  EIGEN_ARRAY_DECLARE_GLOBAL_UNARY(arg,scalar_arg_op,complex argument,\sa ArrayBase::arg)
+  EIGEN_ARRAY_DECLARE_GLOBAL_UNARY(sqrt,scalar_sqrt_op,square root,\sa ArrayBase::sqrt DOXCOMMA MatrixBase::cwiseSqrt)
+  EIGEN_ARRAY_DECLARE_GLOBAL_UNARY(rsqrt,scalar_rsqrt_op,reciprocal square root,\sa ArrayBase::rsqrt)
+  EIGEN_ARRAY_DECLARE_GLOBAL_UNARY(square,scalar_square_op,square (power 2),\sa Eigen::abs2 DOXCOMMA Eigen::pow DOXCOMMA ArrayBase::square)
+  EIGEN_ARRAY_DECLARE_GLOBAL_UNARY(cube,scalar_cube_op,cube (power 3),\sa Eigen::pow DOXCOMMA ArrayBase::cube)
+  EIGEN_ARRAY_DECLARE_GLOBAL_UNARY(round,scalar_round_op,nearest integer,\sa Eigen::floor DOXCOMMA Eigen::ceil DOXCOMMA ArrayBase::round)
+  EIGEN_ARRAY_DECLARE_GLOBAL_UNARY(floor,scalar_floor_op,nearest integer not greater than the giben value,\sa Eigen::ceil DOXCOMMA ArrayBase::floor)
+  EIGEN_ARRAY_DECLARE_GLOBAL_UNARY(ceil,scalar_ceil_op,nearest integer not less than the giben value,\sa Eigen::floor DOXCOMMA ArrayBase::ceil)
+  EIGEN_ARRAY_DECLARE_GLOBAL_UNARY(isnan,scalar_isnan_op,not-a-number test,\sa Eigen::isinf DOXCOMMA Eigen::isfinite DOXCOMMA ArrayBase::isnan)
+  EIGEN_ARRAY_DECLARE_GLOBAL_UNARY(isinf,scalar_isinf_op,infinite value test,\sa Eigen::isnan DOXCOMMA Eigen::isfinite DOXCOMMA ArrayBase::isinf)
+  EIGEN_ARRAY_DECLARE_GLOBAL_UNARY(isfinite,scalar_isfinite_op,finite value test,\sa Eigen::isinf DOXCOMMA Eigen::isnan DOXCOMMA ArrayBase::isfinite)
+  EIGEN_ARRAY_DECLARE_GLOBAL_UNARY(sign,scalar_sign_op,sign (or 0),\sa ArrayBase::sign)
+  
+  /** \returns an expression of the coefficient-wise power of \a x to the given constant \a exponent.
+    *
+    * \tparam ScalarExponent is the scalar type of \a exponent. It must be compatible with the scalar type of the given expression (\c Derived::Scalar).
+    *
+    * \sa ArrayBase::pow()
+    *
+    * \relates ArrayBase
+    */
+#ifdef EIGEN_PARSED_BY_DOXYGEN
+  template<typename Derived,typename ScalarExponent>
+  inline const CwiseBinaryOp<internal::scalar_pow_op<Derived::Scalar,ScalarExponent>,Derived,Constant<ScalarExponent> >
+  pow(const Eigen::ArrayBase<Derived>& x, const ScalarExponent& exponent);
+#else
+  template<typename Derived,typename ScalarExponent>
+  inline typename internal::enable_if<   !(internal::is_same<typename Derived::Scalar,ScalarExponent>::value) && EIGEN_SCALAR_BINARY_SUPPORTED(pow,typename Derived::Scalar,ScalarExponent),
+          const EIGEN_EXPR_BINARYOP_SCALAR_RETURN_TYPE(Derived,ScalarExponent,pow) >::type
+  pow(const Eigen::ArrayBase<Derived>& x, const ScalarExponent& exponent) {
+    return x.derived().pow(exponent);
+  }
+
+  template<typename Derived>
+  inline const EIGEN_EXPR_BINARYOP_SCALAR_RETURN_TYPE(Derived,typename Derived::Scalar,pow)
+  pow(const Eigen::ArrayBase<Derived>& x, const typename Derived::Scalar& exponent) {
+    return x.derived().pow(exponent);
+  }
+#endif
+
+  /** \returns an expression of the coefficient-wise power of \a x to the given array of \a exponents.
+    *
+    * This function computes the coefficient-wise power.
+    *
+    * Example: \include Cwise_array_power_array.cpp
+    * Output: \verbinclude Cwise_array_power_array.out
+    * 
+    * \sa ArrayBase::pow()
+    *
+    * \relates ArrayBase
+    */
+  template<typename Derived,typename ExponentDerived>
+  inline const Eigen::CwiseBinaryOp<Eigen::internal::scalar_pow_op<typename Derived::Scalar, typename ExponentDerived::Scalar>, const Derived, const ExponentDerived>
+  pow(const Eigen::ArrayBase<Derived>& x, const Eigen::ArrayBase<ExponentDerived>& exponents) 
+  {
+    return Eigen::CwiseBinaryOp<Eigen::internal::scalar_pow_op<typename Derived::Scalar, typename ExponentDerived::Scalar>, const Derived, const ExponentDerived>(
+      x.derived(),
+      exponents.derived()
+    );
+  }
+  
+  /** \returns an expression of the coefficient-wise power of the scalar \a x to the given array of \a exponents.
+    *
+    * This function computes the coefficient-wise power between a scalar and an array of exponents.
+    *
+    * \tparam Scalar is the scalar type of \a x. It must be compatible with the scalar type of the given array expression (\c Derived::Scalar).
+    *
+    * Example: \include Cwise_scalar_power_array.cpp
+    * Output: \verbinclude Cwise_scalar_power_array.out
+    * 
+    * \sa ArrayBase::pow()
+    *
+    * \relates ArrayBase
+    */
+#ifdef EIGEN_PARSED_BY_DOXYGEN
+  template<typename Scalar,typename Derived>
+  inline const CwiseBinaryOp<internal::scalar_pow_op<Scalar,Derived::Scalar>,Constant<Scalar>,Derived>
+  pow(const Scalar& x,const Eigen::ArrayBase<Derived>& x);
+#else
+  template<typename Scalar, typename Derived>
+  inline typename internal::enable_if<   !(internal::is_same<typename Derived::Scalar,Scalar>::value) && EIGEN_SCALAR_BINARY_SUPPORTED(pow,Scalar,typename Derived::Scalar),
+          const EIGEN_SCALAR_BINARYOP_EXPR_RETURN_TYPE(Scalar,Derived,pow) >::type
+  pow(const Scalar& x, const Eigen::ArrayBase<Derived>& exponents)
+  {
+    return EIGEN_SCALAR_BINARYOP_EXPR_RETURN_TYPE(Scalar,Derived,pow)(
+            typename internal::plain_constant_type<Derived,Scalar>::type(exponents.rows(), exponents.cols(), x), exponents.derived() );
+  }
+
+  template<typename Derived>
+  inline const EIGEN_SCALAR_BINARYOP_EXPR_RETURN_TYPE(typename Derived::Scalar,Derived,pow)
+  pow(const typename Derived::Scalar& x, const Eigen::ArrayBase<Derived>& exponents)
+  {
+    return EIGEN_SCALAR_BINARYOP_EXPR_RETURN_TYPE(typename Derived::Scalar,Derived,pow)(
+      typename internal::plain_constant_type<Derived,typename Derived::Scalar>::type(exponents.rows(), exponents.cols(), x), exponents.derived() );
+  }
+#endif
+
+
+  namespace internal
+  {
+    EIGEN_ARRAY_DECLARE_GLOBAL_EIGEN_UNARY(real,scalar_real_op)
+    EIGEN_ARRAY_DECLARE_GLOBAL_EIGEN_UNARY(imag,scalar_imag_op)
+    EIGEN_ARRAY_DECLARE_GLOBAL_EIGEN_UNARY(abs2,scalar_abs2_op)
+  }
+}
+
+// TODO: cleanly disable those functions that are not supported on Array (numext::real_ref, internal::random, internal::isApprox...)
+
+#endif // EIGEN_GLOBAL_FUNCTIONS_H
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h	(revision 3761)
@@ -0,0 +1,695 @@
+// This file is part of Eigen, a lightweight C++ template library
+// for linear algebra.
+//
+// Copyright (C) 2008-2010 Gael Guennebaud <gael.guennebaud@inria.fr>
+// Copyright (C) 2006-2008 Benoit Jacob <jacob.benoit.1@gmail.com>
+//
+// This Source Code Form is subject to the terms of the Mozilla
+// Public License v. 2.0. If a copy of the MPL was not distributed
+// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
+
+#ifndef EIGEN_PARTIAL_REDUX_H
+#define EIGEN_PARTIAL_REDUX_H
+
+namespace Eigen {
+
+/** \class PartialReduxExpr
+  * \ingroup Core_Module
+  *
+  * \brief Generic expression of a partially reduxed matrix
+  *
+  * \tparam MatrixType the type of the matrix we are applying the redux operation
+  * \tparam MemberOp type of the member functor
+  * \tparam Direction indicates the direction of the redux (#Vertical or #Horizontal)
+  *
+  * This class represents an expression of a partial redux operator of a matrix.
+  * It is the return type of some VectorwiseOp functions,
+  * and most of the time this is the only way it is used.
+  *
+  * \sa class VectorwiseOp
+  */
+
+template< typename MatrixType, typename MemberOp, int Direction>
+class PartialReduxExpr;
+
+namespace internal {
+template<typename MatrixType, typename MemberOp, int Direction>
+struct traits<PartialReduxExpr<MatrixType, MemberOp, Direction> >
+ : traits<MatrixType>
+{
+  typedef typename MemberOp::result_type Scalar;
+  typedef typename traits<MatrixType>::StorageKind StorageKind;
+  typedef typename traits<MatrixType>::XprKind XprKind;
+  typedef typename MatrixType::Scalar InputScalar;
+  enum {
+    RowsAtCompileTime = Direction==Vertical   ? 1 : MatrixType::RowsAtCompileTime,
+    ColsAtCompileTime = Direction==Horizontal ? 1 : MatrixType::ColsAtCompileTime,
+    MaxRowsAtCompileTime = Direction==Vertical   ? 1 : MatrixType::MaxRowsAtCompileTime,
+    MaxColsAtCompileTime = Direction==Horizontal ? 1 : MatrixType::MaxColsAtCompileTime,
+    Flags = RowsAtCompileTime == 1 ? RowMajorBit : 0,
+    TraversalSize = Direction==Vertical ? MatrixType::RowsAtCompileTime :  MatrixType::ColsAtCompileTime
+  };
+};
+}
+
+template< typename MatrixType, typename MemberOp, int Direction>
+class PartialReduxExpr : public internal::dense_xpr_base< PartialReduxExpr<MatrixType, MemberOp, Direction> >::type,
+                         internal::no_assignment_operator
+{
+  public:
+
+    typedef typename internal::dense_xpr_base<PartialReduxExpr>::type Base;
+    EIGEN_DENSE_PUBLIC_INTERFACE(PartialReduxExpr)
+
+    EIGEN_DEVICE_FUNC
+    explicit PartialReduxExpr(const MatrixType& mat, const MemberOp& func = MemberOp())
+      : m_matrix(mat), m_functor(func) {}
+
+    EIGEN_DEVICE_FUNC
+    Index rows() const { return (Direction==Vertical   ? 1 : m_matrix.rows()); }
+    EIGEN_DEVICE_FUNC
+    Index cols() const { return (Direction==Horizontal ? 1 : m_matrix.cols()); }
+
+    EIGEN_DEVICE_FUNC
+    typename MatrixType::Nested nestedExpression() const { return m_matrix; }
+
+    EIGEN_DEVICE_FUNC
+    const MemberOp& functor() const { return m_functor; }
+
+  protected:
+    typename MatrixType::Nested m_matrix;
+    const MemberOp m_functor;
+};
+
+#define EIGEN_MEMBER_FUNCTOR(MEMBER,COST)                               \
+  template <typename ResultType>                                        \
+  struct member_##MEMBER {                                              \
+    EIGEN_EMPTY_STRUCT_CTOR(member_##MEMBER)                            \
+    typedef ResultType result_type;                                     \
+    template<typename Scalar, int Size> struct Cost                     \
+    { enum { value = COST }; };                                         \
+    template<typename XprType>                                          \
+    EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE                               \
+    ResultType operator()(const XprType& mat) const                     \
+    { return mat.MEMBER(); } \
+  }
+
+namespace internal {
+
+EIGEN_MEMBER_FUNCTOR(squaredNorm, Size * NumTraits<Scalar>::MulCost + (Size-1)*NumTraits<Scalar>::AddCost);
+EIGEN_MEMBER_FUNCTOR(norm, (Size+5) * NumTraits<Scalar>::MulCost + (Size-1)*NumTraits<Scalar>::AddCost);
+EIGEN_MEMBER_FUNCTOR(stableNorm, (Size+5) * NumTraits<Scalar>::MulCost + (Size-1)*NumTraits<Scalar>::AddCost);
+EIGEN_MEMBER_FUNCTOR(blueNorm, (Size+5) * NumTraits<Scalar>::MulCost + (Size-1)*NumTraits<Scalar>::AddCost);
+EIGEN_MEMBER_FUNCTOR(hypotNorm, (Size-1) * functor_traits<scalar_hypot_op<Scalar> >::Cost );
+EIGEN_MEMBER_FUNCTOR(sum, (Size-1)*NumTraits<Scalar>::AddCost);
+EIGEN_MEMBER_FUNCTOR(mean, (Size-1)*NumTraits<Scalar>::AddCost + NumTraits<Scalar>::MulCost);
+EIGEN_MEMBER_FUNCTOR(minCoeff, (Size-1)*NumTraits<Scalar>::AddCost);
+EIGEN_MEMBER_FUNCTOR(maxCoeff, (Size-1)*NumTraits<Scalar>::AddCost);
+EIGEN_MEMBER_FUNCTOR(all, (Size-1)*NumTraits<Scalar>::AddCost);
+EIGEN_MEMBER_FUNCTOR(any, (Size-1)*NumTraits<Scalar>::AddCost);
+EIGEN_MEMBER_FUNCTOR(count, (Size-1)*NumTraits<Scalar>::AddCost);
+EIGEN_MEMBER_FUNCTOR(prod, (Size-1)*NumTraits<Scalar>::MulCost);
+
+template <int p, typename ResultType>
+struct member_lpnorm {
+  typedef ResultType result_type;
+  template<typename Scalar, int Size> struct Cost
+  { enum { value = (Size+5) * NumTraits<Scalar>::MulCost + (Size-1)*NumTraits<Scalar>::AddCost }; };
+  EIGEN_DEVICE_FUNC member_lpnorm() {}
+  template<typename XprType>
+  EIGEN_DEVICE_FUNC inline ResultType operator()(const XprType& mat) const
+  { return mat.template lpNorm<p>(); }
+};
+
+template <typename BinaryOp, typename Scalar>
+struct member_redux {
+  typedef typename result_of<
+                     BinaryOp(const Scalar&,const Scalar&)
+                   >::type  result_type;
+  template<typename _Scalar, int Size> struct Cost
+  { enum { value = (Size-1) * functor_traits<BinaryOp>::Cost }; };
+  EIGEN_DEVICE_FUNC explicit member_redux(const BinaryOp func) : m_functor(func) {}
+  template<typename Derived>
+  EIGEN_DEVICE_FUNC inline result_type operator()(const DenseBase<Derived>& mat) const
+  { return mat.redux(m_functor); }
+  const BinaryOp m_functor;
+};
+}
+
+/** \class VectorwiseOp
+  * \ingroup Core_Module
+  *
+  * \brief Pseudo expression providing partial reduction operations
+  *
+  * \tparam ExpressionType the type of the object on which to do partial reductions
+  * \tparam Direction indicates the direction of the redux (#Vertical or #Horizontal)
+  *
+  * This class represents a pseudo expression with partial reduction features.
+  * It is the return type of DenseBase::colwise() and DenseBase::rowwise()
+  * and most of the time this is the only way it is used.
+  *
+  * Example: \include MatrixBase_colwise.cpp
+  * Output: \verbinclude MatrixBase_colwise.out
+  *
+  * \sa DenseBase::colwise(), DenseBase::rowwise(), class PartialReduxExpr
+  */
+template<typename ExpressionType, int Direction> class VectorwiseOp
+{
+  public:
+
+    typedef typename ExpressionType::Scalar Scalar;
+    typedef typename ExpressionType::RealScalar RealScalar;
+    typedef Eigen::Index Index; ///< \deprecated since Eigen 3.3
+    typedef typename internal::ref_selector<ExpressionType>::non_const_type ExpressionTypeNested;
+    typedef typename internal::remove_all<ExpressionTypeNested>::type ExpressionTypeNestedCleaned;
+
+    template<template<typename _Scalar> class Functor,
+                      typename Scalar_=Scalar> struct ReturnType
+    {
+      typedef PartialReduxExpr<ExpressionType,
+                               Functor<Scalar_>,
+                               Direction
+                              > Type;
+    };
+
+    template<typename BinaryOp> struct ReduxReturnType
+    {
+      typedef PartialReduxExpr<ExpressionType,
+                               internal::member_redux<BinaryOp,Scalar>,
+                               Direction
+                              > Type;
+    };
+
+    enum {
+      isVertical   = (Direction==Vertical) ? 1 : 0,
+      isHorizontal = (Direction==Horizontal) ? 1 : 0
+    };
+
+  protected:
+
+    typedef typename internal::conditional<isVertical,
+                               typename ExpressionType::ColXpr,
+                               typename ExpressionType::RowXpr>::type SubVector;
+    /** \internal
+      * \returns the i-th subvector according to the \c Direction */
+    EIGEN_DEVICE_FUNC
+    SubVector subVector(Index i)
+    {
+      return SubVector(m_matrix.derived(),i);
+    }
+
+    /** \internal
+      * \returns the number of subvectors in the direction \c Direction */
+    EIGEN_DEVICE_FUNC
+    Index subVectors() const
+    { return isVertical?m_matrix.cols():m_matrix.rows(); }
+
+    template<typename OtherDerived> struct ExtendedType {
+      typedef Replicate<OtherDerived,
+                        isVertical   ? 1 : ExpressionType::RowsAtCompileTime,
+                        isHorizontal ? 1 : ExpressionType::ColsAtCompileTime> Type;
+    };
+
+    /** \internal
+      * Replicates a vector to match the size of \c *this */
+    template<typename OtherDerived>
+    EIGEN_DEVICE_FUNC
+    typename ExtendedType<OtherDerived>::Type
+    extendedTo(const DenseBase<OtherDerived>& other) const
+    {
+      EIGEN_STATIC_ASSERT(EIGEN_IMPLIES(isVertical, OtherDerived::MaxColsAtCompileTime==1),
+                          YOU_PASSED_A_ROW_VECTOR_BUT_A_COLUMN_VECTOR_WAS_EXPECTED)
+      EIGEN_STATIC_ASSERT(EIGEN_IMPLIES(isHorizontal, OtherDerived::MaxRowsAtCompileTime==1),
+                          YOU_PASSED_A_COLUMN_VECTOR_BUT_A_ROW_VECTOR_WAS_EXPECTED)
+      return typename ExtendedType<OtherDerived>::Type
+                      (other.derived(),
+                       isVertical   ? 1 : m_matrix.rows(),
+                       isHorizontal ? 1 : m_matrix.cols());
+    }
+
+    template<typename OtherDerived> struct OppositeExtendedType {
+      typedef Replicate<OtherDerived,
+                        isHorizontal ? 1 : ExpressionType::RowsAtCompileTime,
+                        isVertical   ? 1 : ExpressionType::ColsAtCompileTime> Type;
+    };
+
+    /** \internal
+      * Replicates a vector in the opposite direction to match the size of \c *this */
+    template<typename OtherDerived>
+    EIGEN_DEVICE_FUNC
+    typename OppositeExtendedType<OtherDerived>::Type
+    extendedToOpposite(const DenseBase<OtherDerived>& other) const
+    {
+      EIGEN_STATIC_ASSERT(EIGEN_IMPLIES(isHorizontal, OtherDerived::MaxColsAtCompileTime==1),
+                          YOU_PASSED_A_ROW_VECTOR_BUT_A_COLUMN_VECTOR_WAS_EXPECTED)
+      EIGEN_STATIC_ASSERT(EIGEN_IMPLIES(isVertical, OtherDerived::MaxRowsAtCompileTime==1),
+                          YOU_PASSED_A_COLUMN_VECTOR_BUT_A_ROW_VECTOR_WAS_EXPECTED)
+      return typename OppositeExtendedType<OtherDerived>::Type
+                      (other.derived(),
+                       isHorizontal  ? 1 : m_matrix.rows(),
+                       isVertical    ? 1 : m_matrix.cols());
+    }
+
+  public:
+    EIGEN_DEVICE_FUNC
+    explicit inline VectorwiseOp(ExpressionType& matrix) : m_matrix(matrix) {}
+
+    /** \internal */
+    EIGEN_DEVICE_FUNC
+    inline const ExpressionType& _expression() const { return m_matrix; }
+
+    /** \returns a row or column vector expression of \c *this reduxed by \a func
+      *
+      * The template parameter \a BinaryOp is the type of the functor
+      * of the custom redux operator. Note that func must be an associative operator.
+      *
+      * \sa class VectorwiseOp, DenseBase::colwise(), DenseBase::rowwise()
+      */
+    template<typename BinaryOp>
+    EIGEN_DEVICE_FUNC
+    const typename ReduxReturnType<BinaryOp>::Type
+    redux(const BinaryOp& func = BinaryOp()) const
+    { return typename ReduxReturnType<BinaryOp>::Type(_expression(), internal::member_redux<BinaryOp,Scalar>(func)); }
+
+    typedef typename ReturnType<internal::member_minCoeff>::Type MinCoeffReturnType;
+    typedef typename ReturnType<internal::member_maxCoeff>::Type MaxCoeffReturnType;
+    typedef typename ReturnType<internal::member_squaredNorm,RealScalar>::Type SquaredNormReturnType;
+    typedef typename ReturnType<internal::member_norm,RealScalar>::Type NormReturnType;
+    typedef typename ReturnType<internal::member_blueNorm,RealScalar>::Type BlueNormReturnType;
+    typedef typename ReturnType<internal::member_stableNorm,RealScalar>::Type StableNormReturnType;
+    typedef typename ReturnType<internal::member_hypotNorm,RealScalar>::Type HypotNormReturnType;
+    typedef typename ReturnType<internal::member_sum>::Type SumReturnType;
+    typedef typename ReturnType<internal::member_mean>::Type MeanReturnType;
+    typedef typename ReturnType<internal::member_all>::Type AllReturnType;
+    typedef typename ReturnType<internal::member_any>::Type AnyReturnType;
+    typedef PartialReduxExpr<ExpressionType, internal::member_count<Index>, Direction> CountReturnType;
+    typedef typename ReturnType<internal::member_prod>::Type ProdReturnType;
+    typedef Reverse<const ExpressionType, Direction> ConstReverseReturnType;
+    typedef Reverse<ExpressionType, Direction> ReverseReturnType;
+
+    template<int p> struct LpNormReturnType {
+      typedef PartialReduxExpr<ExpressionType, internal::member_lpnorm<p,RealScalar>,Direction> Type;
+    };
+
+    /** \returns a row (or column) vector expression of the smallest coefficient
+      * of each column (or row) of the referenced expression.
+      *
+      * \warning the result is undefined if \c *this contains NaN.
+      *
+      * Example: \include PartialRedux_minCoeff.cpp
+      * Output: \verbinclude PartialRedux_minCoeff.out
+      *
+      * \sa DenseBase::minCoeff() */
+    EIGEN_DEVICE_FUNC
+    const MinCoeffReturnType minCoeff() const
+    { return MinCoeffReturnType(_expression()); }
+
+    /** \returns a row (or column) vector expression of the largest coefficient
+      * of each column (or row) of the referenced expression.
+      *
+      * \warning the result is undefined if \c *this contains NaN.
+      *
+      * Example: \include PartialRedux_maxCoeff.cpp
+      * Output: \verbinclude PartialRedux_maxCoeff.out
+      *
+      * \sa DenseBase::maxCoeff() */
+    EIGEN_DEVICE_FUNC
+    const MaxCoeffReturnType maxCoeff() const
+    { return MaxCoeffReturnType(_expression()); }
+
+    /** \returns a row (or column) vector expression of the squared norm
+      * of each column (or row) of the referenced expression.
+      * This is a vector with real entries, even if the original matrix has complex entries.
+      *
+      * Example: \include PartialRedux_squaredNorm.cpp
+      * Output: \verbinclude PartialRedux_squaredNorm.out
+      *
+      * \sa DenseBase::squaredNorm() */
+    EIGEN_DEVICE_FUNC
+    const SquaredNormReturnType squaredNorm() const
+    { return SquaredNormReturnType(_expression()); }
+
+    /** \returns a row (or column) vector expression of the norm
+      * of each column (or row) of the referenced expression.
+      * This is a vector with real entries, even if the original matrix has complex entries.
+      *
+      * Example: \include PartialRedux_norm.cpp
+      * Output: \verbinclude PartialRedux_norm.out
+      *
+      * \sa DenseBase::norm() */
+    EIGEN_DEVICE_FUNC
+    const NormReturnType norm() const
+    { return NormReturnType(_expression()); }
+
+    /** \returns a row (or column) vector expression of the norm
+      * of each column (or row) of the referenced expression.
+      * This is a vector with real entries, even if the original matrix has complex entries.
+      *
+      * Example: \include PartialRedux_norm.cpp
+      * Output: \verbinclude PartialRedux_norm.out
+      *
+      * \sa DenseBase::norm() */
+    template<int p>
+    EIGEN_DEVICE_FUNC
+    const typename LpNormReturnType<p>::Type lpNorm() const
+    { return typename LpNormReturnType<p>::Type(_expression()); }
+
+
+    /** \returns a row (or column) vector expression of the norm
+      * of each column (or row) of the referenced expression, using
+      * Blue's algorithm.
+      * This is a vector with real entries, even if the original matrix has complex entries.
+      *
+      * \sa DenseBase::blueNorm() */
+    EIGEN_DEVICE_FUNC
+    const BlueNormReturnType blueNorm() const
+    { return BlueNormReturnType(_expression()); }
+
+
+    /** \returns a row (or column) vector expression of the norm
+      * of each column (or row) of the referenced expression, avoiding
+      * underflow and overflow.
+      * This is a vector with real entries, even if the original matrix has complex entries.
+      *
+      * \sa DenseBase::stableNorm() */
+    EIGEN_DEVICE_FUNC
+    const StableNormReturnType stableNorm() const
+    { return StableNormReturnType(_expression()); }
+
+
+    /** \returns a row (or column) vector expression of the norm
+      * of each column (or row) of the referenced expression, avoiding
+      * underflow and overflow using a concatenation of hypot() calls.
+      * This is a vector with real entries, even if the original matrix has complex entries.
+      *
+      * \sa DenseBase::hypotNorm() */
+    EIGEN_DEVICE_FUNC
+    const HypotNormReturnType hypotNorm() const
+    { return HypotNormReturnType(_expression()); }
+
+    /** \returns a row (or column) vector expression of the sum
+      * of each column (or row) of the referenced expression.
+      *
+      * Example: \include PartialRedux_sum.cpp
+      * Output: \verbinclude PartialRedux_sum.out
+      *
+      * \sa DenseBase::sum() */
+    EIGEN_DEVICE_FUNC
+    const SumReturnType sum() const
+    { return SumReturnType(_expression()); }
+
+    /** \returns a row (or column) vector expression of the mean
+    * of each column (or row) of the referenced expression.
+    *
+    * \sa DenseBase::mean() */
+    EIGEN_DEVICE_FUNC
+    const MeanReturnType mean() const
+    { return MeanReturnType(_expression()); }
+
+    /** \returns a row (or column) vector expression representing
+      * whether \b all coefficients of each respective column (or row) are \c true.
+      * This expression can be assigned to a vector with entries of type \c bool.
+      *
+      * \sa DenseBase::all() */
+    EIGEN_DEVICE_FUNC
+    const AllReturnType all() const
+    { return AllReturnType(_expression()); }
+
+    /** \returns a row (or column) vector expression representing
+      * whether \b at \b least one coefficient of each respective column (or row) is \c true.
+      * This expression can be assigned to a vector with entries of type \c bool.
+      *
+      * \sa DenseBase::any() */
+    EIGEN_DEVICE_FUNC
+    const AnyReturnType any() const
+    { return AnyReturnType(_expression()); }
+
+    /** \returns a row (or column) vector expression representing
+      * the number of \c true coefficients of each respective column (or row).
+      * This expression can be assigned to a vector whose entries have the same type as is used to
+      * index entries of the original matrix; for dense matrices, this is \c std::ptrdiff_t .
+      *
+      * Example: \include PartialRedux_count.cpp
+      * Output: \verbinclude PartialRedux_count.out
+      *
+      * \sa DenseBase::count() */
+    EIGEN_DEVICE_FUNC
+    const CountReturnType count() const
+    { return CountReturnType(_expression()); }
+
+    /** \returns a row (or column) vector expression of the product
+      * of each column (or row) of the referenced expression.
+      *
+      * Example: \include PartialRedux_prod.cpp
+      * Output: \verbinclude PartialRedux_prod.out
+      *
+      * \sa DenseBase::prod() */
+    EIGEN_DEVICE_FUNC
+    const ProdReturnType prod() const
+    { return ProdReturnType(_expression()); }
+
+
+    /** \returns a matrix expression
+      * where each column (or row) are reversed.
+      *
+      * Example: \include Vectorwise_reverse.cpp
+      * Output: \verbinclude Vectorwise_reverse.out
+      *
+      * \sa DenseBase::reverse() */
+    EIGEN_DEVICE_FUNC
+    const ConstReverseReturnType reverse() const
+    { return ConstReverseReturnType( _expression() ); }
+
+    /** \returns a writable matrix expression
+      * where each column (or row) are reversed.
+      *
+      * \sa reverse() const */
+    EIGEN_DEVICE_FUNC
+    ReverseReturnType reverse()
+    { return ReverseReturnType( _expression() ); }
+
+    typedef Replicate<ExpressionType,(isVertical?Dynamic:1),(isHorizontal?Dynamic:1)> ReplicateReturnType;
+    EIGEN_DEVICE_FUNC
+    const ReplicateReturnType replicate(Index factor) const;
+
+    /**
+      * \return an expression of the replication of each column (or row) of \c *this
+      *
+      * Example: \include DirectionWise_replicate.cpp
+      * Output: \verbinclude DirectionWise_replicate.out
+      *
+      * \sa VectorwiseOp::replicate(Index), DenseBase::replicate(), class Replicate
+      */
+    // NOTE implemented here because of sunstudio's compilation errors
+    // isVertical*Factor+isHorizontal instead of (isVertical?Factor:1) to handle CUDA bug with ternary operator
+    template<int Factor> const Replicate<ExpressionType,isVertical*Factor+isHorizontal,isHorizontal*Factor+isVertical>
+    EIGEN_DEVICE_FUNC
+    replicate(Index factor = Factor) const
+    {
+      return Replicate<ExpressionType,(isVertical?Factor:1),(isHorizontal?Factor:1)>
+          (_expression(),isVertical?factor:1,isHorizontal?factor:1);
+    }
+
+/////////// Artithmetic operators ///////////
+
+    /** Copies the vector \a other to each subvector of \c *this */
+    template<typename OtherDerived>
+    EIGEN_DEVICE_FUNC
+    ExpressionType& operator=(const DenseBase<OtherDerived>& other)
+    {
+      EIGEN_STATIC_ASSERT_VECTOR_ONLY(OtherDerived)
+      EIGEN_STATIC_ASSERT_SAME_XPR_KIND(ExpressionType, OtherDerived)
+      //eigen_assert((m_matrix.isNull()) == (other.isNull())); FIXME
+      return const_cast<ExpressionType&>(m_matrix = extendedTo(other.derived()));
+    }
+
+    /** Adds the vector \a other to each subvector of \c *this */
+    template<typename OtherDerived>
+    EIGEN_DEVICE_FUNC
+    ExpressionType& operator+=(const DenseBase<OtherDerived>& other)
+    {
+      EIGEN_STATIC_ASSERT_VECTOR_ONLY(OtherDerived)
+      EIGEN_STATIC_ASSERT_SAME_XPR_KIND(ExpressionType, OtherDerived)
+      return const_cast<ExpressionType&>(m_matrix += extendedTo(other.derived()));
+    }
+
+    /** Substracts the vector \a other to each subvector of \c *this */
+    template<typename OtherDerived>
+    EIGEN_DEVICE_FUNC
+    ExpressionType& operator-=(const DenseBase<OtherDerived>& other)
+    {
+      EIGEN_STATIC_ASSERT_VECTOR_ONLY(OtherDerived)
+      EIGEN_STATIC_ASSERT_SAME_XPR_KIND(ExpressionType, OtherDerived)
+      return const_cast<ExpressionType&>(m_matrix -= extendedTo(other.derived()));
+    }
+
+    /** Multiples each subvector of \c *this by the vector \a other */
+    template<typename OtherDerived>
+    EIGEN_DEVICE_FUNC
+    ExpressionType& operator*=(const DenseBase<OtherDerived>& other)
+    {
+      EIGEN_STATIC_ASSERT_VECTOR_ONLY(OtherDerived)
+      EIGEN_STATIC_ASSERT_ARRAYXPR(ExpressionType)
+      EIGEN_STATIC_ASSERT_SAME_XPR_KIND(ExpressionType, OtherDerived)
+      m_matrix *= extendedTo(other.derived());
+      return const_cast<ExpressionType&>(m_matrix);
+    }
+
+    /** Divides each subvector of \c *this by the vector \a other */
+    template<typename OtherDerived>
+    EIGEN_DEVICE_FUNC
+    ExpressionType& operator/=(const DenseBase<OtherDerived>& other)
+    {
+      EIGEN_STATIC_ASSERT_VECTOR_ONLY(OtherDerived)
+      EIGEN_STATIC_ASSERT_ARRAYXPR(ExpressionType)
+      EIGEN_STATIC_ASSERT_SAME_XPR_KIND(ExpressionType, OtherDerived)
+      m_matrix /= extendedTo(other.derived());
+      return const_cast<ExpressionType&>(m_matrix);
+    }
+
+    /** Returns the expression of the sum of the vector \a other to each subvector of \c *this */
+    template<typename OtherDerived> EIGEN_STRONG_INLINE EIGEN_DEVICE_FUNC
+    CwiseBinaryOp<internal::scalar_sum_op<Scalar,typename OtherDerived::Scalar>,
+                  const ExpressionTypeNestedCleaned,
+                  const typename ExtendedType<OtherDerived>::Type>
+    operator+(const DenseBase<OtherDerived>& other) const
+    {
+      EIGEN_STATIC_ASSERT_VECTOR_ONLY(OtherDerived)
+      EIGEN_STATIC_ASSERT_SAME_XPR_KIND(ExpressionType, OtherDerived)
+      return m_matrix + extendedTo(other.derived());
+    }
+
+    /** Returns the expression of the difference between each subvector of \c *this and the vector \a other */
+    template<typename OtherDerived>
+    EIGEN_DEVICE_FUNC
+    CwiseBinaryOp<internal::scalar_difference_op<Scalar,typename OtherDerived::Scalar>,
+                  const ExpressionTypeNestedCleaned,
+                  const typename ExtendedType<OtherDerived>::Type>
+    operator-(const DenseBase<OtherDerived>& other) const
+    {
+      EIGEN_STATIC_ASSERT_VECTOR_ONLY(OtherDerived)
+      EIGEN_STATIC_ASSERT_SAME_XPR_KIND(ExpressionType, OtherDerived)
+      return m_matrix - extendedTo(other.derived());
+    }
+
+    /** Returns the expression where each subvector is the product of the vector \a other
+      * by the corresponding subvector of \c *this */
+    template<typename OtherDerived> EIGEN_STRONG_INLINE EIGEN_DEVICE_FUNC
+    CwiseBinaryOp<internal::scalar_product_op<Scalar>,
+                  const ExpressionTypeNestedCleaned,
+                  const typename ExtendedType<OtherDerived>::Type>
+    EIGEN_DEVICE_FUNC
+    operator*(const DenseBase<OtherDerived>& other) const
+    {
+      EIGEN_STATIC_ASSERT_VECTOR_ONLY(OtherDerived)
+      EIGEN_STATIC_ASSERT_ARRAYXPR(ExpressionType)
+      EIGEN_STATIC_ASSERT_SAME_XPR_KIND(ExpressionType, OtherDerived)
+      return m_matrix * extendedTo(other.derived());
+    }
+
+    /** Returns the expression where each subvector is the quotient of the corresponding
+      * subvector of \c *this by the vector \a other */
+    template<typename OtherDerived>
+    EIGEN_DEVICE_FUNC
+    CwiseBinaryOp<internal::scalar_quotient_op<Scalar>,
+                  const ExpressionTypeNestedCleaned,
+                  const typename ExtendedType<OtherDerived>::Type>
+    operator/(const DenseBase<OtherDerived>& other) const
+    {
+      EIGEN_STATIC_ASSERT_VECTOR_ONLY(OtherDerived)
+      EIGEN_STATIC_ASSERT_ARRAYXPR(ExpressionType)
+      EIGEN_STATIC_ASSERT_SAME_XPR_KIND(ExpressionType, OtherDerived)
+      return m_matrix / extendedTo(other.derived());
+    }
+
+    /** \returns an expression where each column (or row) of the referenced matrix are normalized.
+      * The referenced matrix is \b not modified.
+      * \sa MatrixBase::normalized(), normalize()
+      */
+    EIGEN_DEVICE_FUNC
+    CwiseBinaryOp<internal::scalar_quotient_op<Scalar>,
+                  const ExpressionTypeNestedCleaned,
+                  const typename OppositeExtendedType<typename ReturnType<internal::member_norm,RealScalar>::Type>::Type>
+    normalized() const { return m_matrix.cwiseQuotient(extendedToOpposite(this->norm())); }
+
+
+    /** Normalize in-place each row or columns of the referenced matrix.
+      * \sa MatrixBase::normalize(), normalized()
+      */
+    EIGEN_DEVICE_FUNC void normalize() {
+      m_matrix = this->normalized();
+    }
+
+    EIGEN_DEVICE_FUNC inline void reverseInPlace();
+
+/////////// Geometry module ///////////
+
+    typedef Homogeneous<ExpressionType,Direction> HomogeneousReturnType;
+    EIGEN_DEVICE_FUNC
+    HomogeneousReturnType homogeneous() const;
+
+    typedef typename ExpressionType::PlainObject CrossReturnType;
+    template<typename OtherDerived>
+    EIGEN_DEVICE_FUNC
+    const CrossReturnType cross(const MatrixBase<OtherDerived>& other) const;
+
+    enum {
+      HNormalized_Size = Direction==Vertical ? internal::traits<ExpressionType>::RowsAtCompileTime
+                                             : internal::traits<ExpressionType>::ColsAtCompileTime,
+      HNormalized_SizeMinusOne = HNormalized_Size==Dynamic ? Dynamic : HNormalized_Size-1
+    };
+    typedef Block<const ExpressionType,
+                  Direction==Vertical   ? int(HNormalized_SizeMinusOne)
+                                        : int(internal::traits<ExpressionType>::RowsAtCompileTime),
+                  Direction==Horizontal ? int(HNormalized_SizeMinusOne)
+                                        : int(internal::traits<ExpressionType>::ColsAtCompileTime)>
+            HNormalized_Block;
+    typedef Block<const ExpressionType,
+                  Direction==Vertical   ? 1 : int(internal::traits<ExpressionType>::RowsAtCompileTime),
+                  Direction==Horizontal ? 1 : int(internal::traits<ExpressionType>::ColsAtCompileTime)>
+            HNormalized_Factors;
+    typedef CwiseBinaryOp<internal::scalar_quotient_op<typename internal::traits<ExpressionType>::Scalar>,
+                const HNormalized_Block,
+                const Replicate<HNormalized_Factors,
+                  Direction==Vertical   ? HNormalized_SizeMinusOne : 1,
+                  Direction==Horizontal ? HNormalized_SizeMinusOne : 1> >
+            HNormalizedReturnType;
+
+    EIGEN_DEVICE_FUNC
+    const HNormalizedReturnType hnormalized() const;
+
+  protected:
+    ExpressionTypeNested m_matrix;
+};
+
+//const colwise moved to DenseBase.h due to CUDA compiler bug
+
+
+/** \returns a writable VectorwiseOp wrapper of *this providing additional partial reduction operations
+  *
+  * \sa rowwise(), class VectorwiseOp, \ref TutorialReductionsVisitorsBroadcasting
+  */
+template<typename Derived>
+inline typename DenseBase<Derived>::ColwiseReturnType
+DenseBase<Derived>::colwise()
+{
+  return ColwiseReturnType(derived());
+}
+
+//const rowwise moved to DenseBase.h due to CUDA compiler bug
+
+
+/** \returns a writable VectorwiseOp wrapper of *this providing additional partial reduction operations
+  *
+  * \sa colwise(), class VectorwiseOp, \ref TutorialReductionsVisitorsBroadcasting
+  */
+template<typename Derived>
+inline typename DenseBase<Derived>::RowwiseReturnType
+DenseBase<Derived>::rowwise()
+{
+  return RowwiseReturnType(derived());
+}
+
+} // end namespace Eigen
+
+#endif // EIGEN_PARTIAL_REDUX_H
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/MathFunctionsImpl.h
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/MathFunctionsImpl.h	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/MathFunctionsImpl.h	(revision 3761)
@@ -0,0 +1,101 @@
+// This file is part of Eigen, a lightweight C++ template library
+// for linear algebra.
+//
+// Copyright (C) 2014 Pedro Gonnet (pedro.gonnet@gmail.com)
+// Copyright (C) 2016 Gael Guennebaud <gael.guennebaud@inria.fr>
+//
+// This Source Code Form is subject to the terms of the Mozilla
+// Public License v. 2.0. If a copy of the MPL was not distributed
+// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
+
+#ifndef EIGEN_MATHFUNCTIONSIMPL_H
+#define EIGEN_MATHFUNCTIONSIMPL_H
+
+namespace Eigen {
+
+namespace internal {
+
+/** \internal \returns the hyperbolic tan of \a a (coeff-wise)
+    Doesn't do anything fancy, just a 13/6-degree rational interpolant which
+    is accurate up to a couple of ulp in the range [-9, 9], outside of which
+    the tanh(x) = +/-1.
+
+    This implementation works on both scalars and packets.
+*/
+template<typename T>
+T generic_fast_tanh_float(const T& a_x)
+{
+  // Clamp the inputs to the range [-9, 9] since anything outside
+  // this range is +/-1.0f in single-precision.
+  const T plus_9 = pset1<T>(9.f);
+  const T minus_9 = pset1<T>(-9.f);
+  // NOTE GCC prior to 6.3 might improperly optimize this max/min
+  //      step such that if a_x is nan, x will be either 9 or -9,
+  //      and tanh will return 1 or -1 instead of nan.
+  //      This is supposed to be fixed in gcc6.3,
+  //      see: https://gcc.gnu.org/bugzilla/show_bug.cgi?id=72867
+  const T x = pmax(minus_9,pmin(plus_9,a_x));
+  // The monomial coefficients of the numerator polynomial (odd).
+  const T alpha_1 = pset1<T>(4.89352455891786e-03f);
+  const T alpha_3 = pset1<T>(6.37261928875436e-04f);
+  const T alpha_5 = pset1<T>(1.48572235717979e-05f);
+  const T alpha_7 = pset1<T>(5.12229709037114e-08f);
+  const T alpha_9 = pset1<T>(-8.60467152213735e-11f);
+  const T alpha_11 = pset1<T>(2.00018790482477e-13f);
+  const T alpha_13 = pset1<T>(-2.76076847742355e-16f);
+
+  // The monomial coefficients of the denominator polynomial (even).
+  const T beta_0 = pset1<T>(4.89352518554385e-03f);
+  const T beta_2 = pset1<T>(2.26843463243900e-03f);
+  const T beta_4 = pset1<T>(1.18534705686654e-04f);
+  const T beta_6 = pset1<T>(1.19825839466702e-06f);
+
+  // Since the polynomials are odd/even, we need x^2.
+  const T x2 = pmul(x, x);
+
+  // Evaluate the numerator polynomial p.
+  T p = pmadd(x2, alpha_13, alpha_11);
+  p = pmadd(x2, p, alpha_9);
+  p = pmadd(x2, p, alpha_7);
+  p = pmadd(x2, p, alpha_5);
+  p = pmadd(x2, p, alpha_3);
+  p = pmadd(x2, p, alpha_1);
+  p = pmul(x, p);
+
+  // Evaluate the denominator polynomial p.
+  T q = pmadd(x2, beta_6, beta_4);
+  q = pmadd(x2, q, beta_2);
+  q = pmadd(x2, q, beta_0);
+
+  // Divide the numerator by the denominator.
+  return pdiv(p, q);
+}
+
+template<typename RealScalar>
+EIGEN_STRONG_INLINE
+RealScalar positive_real_hypot(const RealScalar& x, const RealScalar& y)
+{
+  EIGEN_USING_STD_MATH(sqrt);
+  RealScalar p, qp;
+  p = numext::maxi(x,y);
+  if(p==RealScalar(0)) return RealScalar(0);
+  qp = numext::mini(y,x) / p;    
+  return p * sqrt(RealScalar(1) + qp*qp);
+}
+
+template<typename Scalar>
+struct hypot_impl
+{
+  typedef typename NumTraits<Scalar>::Real RealScalar;
+  static inline RealScalar run(const Scalar& x, const Scalar& y)
+  {
+    EIGEN_USING_STD_MATH(abs);
+    return positive_real_hypot<RealScalar>(abs(x), abs(y));
+  }
+};
+
+} // end namespace internal
+
+} // end namespace Eigen
+
+#endif // EIGEN_MATHFUNCTIONSIMPL_H
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/SolverBase.h
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/SolverBase.h	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/SolverBase.h	(revision 3761)
@@ -0,0 +1,130 @@
+// This file is part of Eigen, a lightweight C++ template library
+// for linear algebra.
+//
+// Copyright (C) 2015 Gael Guennebaud <gael.guennebaud@inria.fr>
+//
+// This Source Code Form is subject to the terms of the Mozilla
+// Public License v. 2.0. If a copy of the MPL was not distributed
+// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
+
+#ifndef EIGEN_SOLVERBASE_H
+#define EIGEN_SOLVERBASE_H
+
+namespace Eigen {
+
+namespace internal {
+
+
+
+} // end namespace internal
+
+/** \class SolverBase
+  * \brief A base class for matrix decomposition and solvers
+  *
+  * \tparam Derived the actual type of the decomposition/solver.
+  *
+  * Any matrix decomposition inheriting this base class provide the following API:
+  *
+  * \code
+  * MatrixType A, b, x;
+  * DecompositionType dec(A);
+  * x = dec.solve(b);             // solve A   * x = b
+  * x = dec.transpose().solve(b); // solve A^T * x = b
+  * x = dec.adjoint().solve(b);   // solve A'  * x = b
+  * \endcode
+  *
+  * \warning Currently, any other usage of transpose() and adjoint() are not supported and will produce compilation errors.
+  *
+  * \sa class PartialPivLU, class FullPivLU
+  */
+template<typename Derived>
+class SolverBase : public EigenBase<Derived>
+{
+  public:
+
+    typedef EigenBase<Derived> Base;
+    typedef typename internal::traits<Derived>::Scalar Scalar;
+    typedef Scalar CoeffReturnType;
+
+    enum {
+      RowsAtCompileTime = internal::traits<Derived>::RowsAtCompileTime,
+      ColsAtCompileTime = internal::traits<Derived>::ColsAtCompileTime,
+      SizeAtCompileTime = (internal::size_at_compile_time<internal::traits<Derived>::RowsAtCompileTime,
+                                                          internal::traits<Derived>::ColsAtCompileTime>::ret),
+      MaxRowsAtCompileTime = internal::traits<Derived>::MaxRowsAtCompileTime,
+      MaxColsAtCompileTime = internal::traits<Derived>::MaxColsAtCompileTime,
+      MaxSizeAtCompileTime = (internal::size_at_compile_time<internal::traits<Derived>::MaxRowsAtCompileTime,
+                                                             internal::traits<Derived>::MaxColsAtCompileTime>::ret),
+      IsVectorAtCompileTime = internal::traits<Derived>::MaxRowsAtCompileTime == 1
+                           || internal::traits<Derived>::MaxColsAtCompileTime == 1
+    };
+
+    /** Default constructor */
+    SolverBase()
+    {}
+
+    ~SolverBase()
+    {}
+
+    using Base::derived;
+
+    /** \returns an expression of the solution x of \f$ A x = b \f$ using the current decomposition of A.
+      */
+    template<typename Rhs>
+    inline const Solve<Derived, Rhs>
+    solve(const MatrixBase<Rhs>& b) const
+    {
+      eigen_assert(derived().rows()==b.rows() && "solve(): invalid number of rows of the right hand side matrix b");
+      return Solve<Derived, Rhs>(derived(), b.derived());
+    }
+
+    /** \internal the return type of transpose() */
+    typedef typename internal::add_const<Transpose<const Derived> >::type ConstTransposeReturnType;
+    /** \returns an expression of the transposed of the factored matrix.
+      *
+      * A typical usage is to solve for the transposed problem A^T x = b:
+      * \code x = dec.transpose().solve(b); \endcode
+      *
+      * \sa adjoint(), solve()
+      */
+    inline ConstTransposeReturnType transpose() const
+    {
+      return ConstTransposeReturnType(derived());
+    }
+
+    /** \internal the return type of adjoint() */
+    typedef typename internal::conditional<NumTraits<Scalar>::IsComplex,
+                        CwiseUnaryOp<internal::scalar_conjugate_op<Scalar>, ConstTransposeReturnType>,
+                        ConstTransposeReturnType
+                     >::type AdjointReturnType;
+    /** \returns an expression of the adjoint of the factored matrix
+      *
+      * A typical usage is to solve for the adjoint problem A' x = b:
+      * \code x = dec.adjoint().solve(b); \endcode
+      *
+      * For real scalar types, this function is equivalent to transpose().
+      *
+      * \sa transpose(), solve()
+      */
+    inline AdjointReturnType adjoint() const
+    {
+      return AdjointReturnType(derived().transpose());
+    }
+
+  protected:
+};
+
+namespace internal {
+
+template<typename Derived>
+struct generic_xpr_base<Derived, MatrixXpr, SolverStorage>
+{
+  typedef SolverBase<Derived> type;
+
+};
+
+} // end namespace internal
+
+} // end namespace Eigen
+
+#endif // EIGEN_SOLVERBASE_H
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h	(revision 3761)
@@ -0,0 +1,226 @@
+// This file is part of Eigen, a lightweight C++ template library
+// for linear algebra.
+//
+// Copyright (C) 2009 Gael Guennebaud <gael.guennebaud@inria.fr>
+//
+// This Source Code Form is subject to the terms of the Mozilla
+// Public License v. 2.0. If a copy of the MPL was not distributed
+// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
+
+#ifndef EIGEN_ARRAYBASE_H
+#define EIGEN_ARRAYBASE_H
+
+namespace Eigen { 
+
+template<typename ExpressionType> class MatrixWrapper;
+
+/** \class ArrayBase
+  * \ingroup Core_Module
+  *
+  * \brief Base class for all 1D and 2D array, and related expressions
+  *
+  * An array is similar to a dense vector or matrix. While matrices are mathematical
+  * objects with well defined linear algebra operators, an array is just a collection
+  * of scalar values arranged in a one or two dimensionnal fashion. As the main consequence,
+  * all operations applied to an array are performed coefficient wise. Furthermore,
+  * arrays support scalar math functions of the c++ standard library (e.g., std::sin(x)), and convenient
+  * constructors allowing to easily write generic code working for both scalar values
+  * and arrays.
+  *
+  * This class is the base that is inherited by all array expression types.
+  *
+  * \tparam Derived is the derived type, e.g., an array or an expression type.
+  *
+  * This class can be extended with the help of the plugin mechanism described on the page
+  * \ref TopicCustomizing_Plugins by defining the preprocessor symbol \c EIGEN_ARRAYBASE_PLUGIN.
+  *
+  * \sa class MatrixBase, \ref TopicClassHierarchy
+  */
+template<typename Derived> class ArrayBase
+  : public DenseBase<Derived>
+{
+  public:
+#ifndef EIGEN_PARSED_BY_DOXYGEN
+    /** The base class for a given storage type. */
+    typedef ArrayBase StorageBaseType;
+
+    typedef ArrayBase Eigen_BaseClassForSpecializationOfGlobalMathFuncImpl;
+
+    typedef typename internal::traits<Derived>::StorageKind StorageKind;
+    typedef typename internal::traits<Derived>::Scalar Scalar;
+    typedef typename internal::packet_traits<Scalar>::type PacketScalar;
+    typedef typename NumTraits<Scalar>::Real RealScalar;
+
+    typedef DenseBase<Derived> Base;
+    using Base::RowsAtCompileTime;
+    using Base::ColsAtCompileTime;
+    using Base::SizeAtCompileTime;
+    using Base::MaxRowsAtCompileTime;
+    using Base::MaxColsAtCompileTime;
+    using Base::MaxSizeAtCompileTime;
+    using Base::IsVectorAtCompileTime;
+    using Base::Flags;
+    
+    using Base::derived;
+    using Base::const_cast_derived;
+    using Base::rows;
+    using Base::cols;
+    using Base::size;
+    using Base::coeff;
+    using Base::coeffRef;
+    using Base::lazyAssign;
+    using Base::operator=;
+    using Base::operator+=;
+    using Base::operator-=;
+    using Base::operator*=;
+    using Base::operator/=;
+
+    typedef typename Base::CoeffReturnType CoeffReturnType;
+
+#endif // not EIGEN_PARSED_BY_DOXYGEN
+
+#ifndef EIGEN_PARSED_BY_DOXYGEN
+    typedef typename Base::PlainObject PlainObject;
+
+    /** \internal Represents a matrix with all coefficients equal to one another*/
+    typedef CwiseNullaryOp<internal::scalar_constant_op<Scalar>,PlainObject> ConstantReturnType;
+#endif // not EIGEN_PARSED_BY_DOXYGEN
+
+#define EIGEN_CURRENT_STORAGE_BASE_CLASS Eigen::ArrayBase
+#define EIGEN_DOC_UNARY_ADDONS(X,Y)
+#   include "../plugins/CommonCwiseUnaryOps.h"
+#   include "../plugins/MatrixCwiseUnaryOps.h"
+#   include "../plugins/ArrayCwiseUnaryOps.h"
+#   include "../plugins/CommonCwiseBinaryOps.h"
+#   include "../plugins/MatrixCwiseBinaryOps.h"
+#   include "../plugins/ArrayCwiseBinaryOps.h"
+#   ifdef EIGEN_ARRAYBASE_PLUGIN
+#     include EIGEN_ARRAYBASE_PLUGIN
+#   endif
+#undef EIGEN_CURRENT_STORAGE_BASE_CLASS
+#undef EIGEN_DOC_UNARY_ADDONS
+
+    /** Special case of the template operator=, in order to prevent the compiler
+      * from generating a default operator= (issue hit with g++ 4.1)
+      */
+    EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE
+    Derived& operator=(const ArrayBase& other)
+    {
+      internal::call_assignment(derived(), other.derived());
+      return derived();
+    }
+    
+    /** Set all the entries to \a value.
+      * \sa DenseBase::setConstant(), DenseBase::fill() */
+    EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE
+    Derived& operator=(const Scalar &value)
+    { Base::setConstant(value); return derived(); }
+
+    EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE
+    Derived& operator+=(const Scalar& scalar);
+    EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE
+    Derived& operator-=(const Scalar& scalar);
+
+    template<typename OtherDerived>
+    EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE
+    Derived& operator+=(const ArrayBase<OtherDerived>& other);
+    template<typename OtherDerived>
+    EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE
+    Derived& operator-=(const ArrayBase<OtherDerived>& other);
+
+    template<typename OtherDerived>
+    EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE
+    Derived& operator*=(const ArrayBase<OtherDerived>& other);
+
+    template<typename OtherDerived>
+    EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE
+    Derived& operator/=(const ArrayBase<OtherDerived>& other);
+
+  public:
+    EIGEN_DEVICE_FUNC
+    ArrayBase<Derived>& array() { return *this; }
+    EIGEN_DEVICE_FUNC
+    const ArrayBase<Derived>& array() const { return *this; }
+
+    /** \returns an \link Eigen::MatrixBase Matrix \endlink expression of this array
+      * \sa MatrixBase::array() */
+    EIGEN_DEVICE_FUNC
+    MatrixWrapper<Derived> matrix() { return MatrixWrapper<Derived>(derived()); }
+    EIGEN_DEVICE_FUNC
+    const MatrixWrapper<const Derived> matrix() const { return MatrixWrapper<const Derived>(derived()); }
+
+//     template<typename Dest>
+//     inline void evalTo(Dest& dst) const { dst = matrix(); }
+
+  protected:
+    EIGEN_DEFAULT_COPY_CONSTRUCTOR(ArrayBase)
+    EIGEN_DEFAULT_EMPTY_CONSTRUCTOR_AND_DESTRUCTOR(ArrayBase)
+
+  private:
+    explicit ArrayBase(Index);
+    ArrayBase(Index,Index);
+    template<typename OtherDerived> explicit ArrayBase(const ArrayBase<OtherDerived>&);
+  protected:
+    // mixing arrays and matrices is not legal
+    template<typename OtherDerived> Derived& operator+=(const MatrixBase<OtherDerived>& )
+    {EIGEN_STATIC_ASSERT(std::ptrdiff_t(sizeof(typename OtherDerived::Scalar))==-1,YOU_CANNOT_MIX_ARRAYS_AND_MATRICES); return *this;}
+    // mixing arrays and matrices is not legal
+    template<typename OtherDerived> Derived& operator-=(const MatrixBase<OtherDerived>& )
+    {EIGEN_STATIC_ASSERT(std::ptrdiff_t(sizeof(typename OtherDerived::Scalar))==-1,YOU_CANNOT_MIX_ARRAYS_AND_MATRICES); return *this;}
+};
+
+/** replaces \c *this by \c *this - \a other.
+  *
+  * \returns a reference to \c *this
+  */
+template<typename Derived>
+template<typename OtherDerived>
+EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE Derived &
+ArrayBase<Derived>::operator-=(const ArrayBase<OtherDerived> &other)
+{
+  call_assignment(derived(), other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
+  return derived();
+}
+
+/** replaces \c *this by \c *this + \a other.
+  *
+  * \returns a reference to \c *this
+  */
+template<typename Derived>
+template<typename OtherDerived>
+EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE Derived &
+ArrayBase<Derived>::operator+=(const ArrayBase<OtherDerived>& other)
+{
+  call_assignment(derived(), other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
+  return derived();
+}
+
+/** replaces \c *this by \c *this * \a other coefficient wise.
+  *
+  * \returns a reference to \c *this
+  */
+template<typename Derived>
+template<typename OtherDerived>
+EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE Derived &
+ArrayBase<Derived>::operator*=(const ArrayBase<OtherDerived>& other)
+{
+  call_assignment(derived(), other.derived(), internal::mul_assign_op<Scalar,typename OtherDerived::Scalar>());
+  return derived();
+}
+
+/** replaces \c *this by \c *this / \a other coefficient wise.
+  *
+  * \returns a reference to \c *this
+  */
+template<typename Derived>
+template<typename OtherDerived>
+EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE Derived &
+ArrayBase<Derived>::operator/=(const ArrayBase<OtherDerived>& other)
+{
+  call_assignment(derived(), other.derived(), internal::div_assign_op<Scalar,typename OtherDerived::Scalar>());
+  return derived();
+}
+
+} // end namespace Eigen
+
+#endif // EIGEN_ARRAYBASE_H
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/Ref.h
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/Ref.h	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/Ref.h	(revision 3761)
@@ -0,0 +1,284 @@
+// This file is part of Eigen, a lightweight C++ template library
+// for linear algebra.
+//
+// Copyright (C) 2012 Gael Guennebaud <gael.guennebaud@inria.fr>
+//
+// This Source Code Form is subject to the terms of the Mozilla
+// Public License v. 2.0. If a copy of the MPL was not distributed
+// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
+
+#ifndef EIGEN_REF_H
+#define EIGEN_REF_H
+
+namespace Eigen { 
+
+namespace internal {
+
+template<typename _PlainObjectType, int _Options, typename _StrideType>
+struct traits<Ref<_PlainObjectType, _Options, _StrideType> >
+  : public traits<Map<_PlainObjectType, _Options, _StrideType> >
+{
+  typedef _PlainObjectType PlainObjectType;
+  typedef _StrideType StrideType;
+  enum {
+    Options = _Options,
+    Flags = traits<Map<_PlainObjectType, _Options, _StrideType> >::Flags | NestByRefBit,
+    Alignment = traits<Map<_PlainObjectType, _Options, _StrideType> >::Alignment
+  };
+
+  template<typename Derived> struct match {
+    enum {
+      IsVectorAtCompileTime = PlainObjectType::IsVectorAtCompileTime || Derived::IsVectorAtCompileTime,
+      HasDirectAccess = internal::has_direct_access<Derived>::ret,
+      StorageOrderMatch = IsVectorAtCompileTime || ((PlainObjectType::Flags&RowMajorBit)==(Derived::Flags&RowMajorBit)),
+      InnerStrideMatch = int(StrideType::InnerStrideAtCompileTime)==int(Dynamic)
+                      || int(StrideType::InnerStrideAtCompileTime)==int(Derived::InnerStrideAtCompileTime)
+                      || (int(StrideType::InnerStrideAtCompileTime)==0 && int(Derived::InnerStrideAtCompileTime)==1),
+      OuterStrideMatch = IsVectorAtCompileTime
+                      || int(StrideType::OuterStrideAtCompileTime)==int(Dynamic) || int(StrideType::OuterStrideAtCompileTime)==int(Derived::OuterStrideAtCompileTime),
+      // NOTE, this indirection of evaluator<Derived>::Alignment is needed
+      // to workaround a very strange bug in MSVC related to the instantiation
+      // of has_*ary_operator in evaluator<CwiseNullaryOp>.
+      // This line is surprisingly very sensitive. For instance, simply adding parenthesis
+      // as "DerivedAlignment = (int(evaluator<Derived>::Alignment))," will make MSVC fail...
+      DerivedAlignment = int(evaluator<Derived>::Alignment),
+      AlignmentMatch = (int(traits<PlainObjectType>::Alignment)==int(Unaligned)) || (DerivedAlignment >= int(Alignment)), // FIXME the first condition is not very clear, it should be replaced by the required alignment
+      ScalarTypeMatch = internal::is_same<typename PlainObjectType::Scalar, typename Derived::Scalar>::value,
+      MatchAtCompileTime = HasDirectAccess && StorageOrderMatch && InnerStrideMatch && OuterStrideMatch && AlignmentMatch && ScalarTypeMatch
+    };
+    typedef typename internal::conditional<MatchAtCompileTime,internal::true_type,internal::false_type>::type type;
+  };
+  
+};
+
+template<typename Derived>
+struct traits<RefBase<Derived> > : public traits<Derived> {};
+
+}
+
+template<typename Derived> class RefBase
+ : public MapBase<Derived>
+{
+  typedef typename internal::traits<Derived>::PlainObjectType PlainObjectType;
+  typedef typename internal::traits<Derived>::StrideType StrideType;
+
+public:
+
+  typedef MapBase<Derived> Base;
+  EIGEN_DENSE_PUBLIC_INTERFACE(RefBase)
+
+  EIGEN_DEVICE_FUNC inline Index innerStride() const
+  {
+    return StrideType::InnerStrideAtCompileTime != 0 ? m_stride.inner() : 1;
+  }
+
+  EIGEN_DEVICE_FUNC inline Index outerStride() const
+  {
+    return StrideType::OuterStrideAtCompileTime != 0 ? m_stride.outer()
+         : IsVectorAtCompileTime ? this->size()
+         : int(Flags)&RowMajorBit ? this->cols()
+         : this->rows();
+  }
+
+  EIGEN_DEVICE_FUNC RefBase()
+    : Base(0,RowsAtCompileTime==Dynamic?0:RowsAtCompileTime,ColsAtCompileTime==Dynamic?0:ColsAtCompileTime),
+      // Stride<> does not allow default ctor for Dynamic strides, so let' initialize it with dummy values:
+      m_stride(StrideType::OuterStrideAtCompileTime==Dynamic?0:StrideType::OuterStrideAtCompileTime,
+               StrideType::InnerStrideAtCompileTime==Dynamic?0:StrideType::InnerStrideAtCompileTime)
+  {}
+  
+  EIGEN_INHERIT_ASSIGNMENT_OPERATORS(RefBase)
+
+protected:
+
+  typedef Stride<StrideType::OuterStrideAtCompileTime,StrideType::InnerStrideAtCompileTime> StrideBase;
+
+  template<typename Expression>
+  EIGEN_DEVICE_FUNC void construct(Expression& expr)
+  {
+    EIGEN_STATIC_ASSERT_SAME_MATRIX_SIZE(PlainObjectType,Expression);
+
+    if(PlainObjectType::RowsAtCompileTime==1)
+    {
+      eigen_assert(expr.rows()==1 || expr.cols()==1);
+      ::new (static_cast<Base*>(this)) Base(expr.data(), 1, expr.size());
+    }
+    else if(PlainObjectType::ColsAtCompileTime==1)
+    {
+      eigen_assert(expr.rows()==1 || expr.cols()==1);
+      ::new (static_cast<Base*>(this)) Base(expr.data(), expr.size(), 1);
+    }
+    else
+      ::new (static_cast<Base*>(this)) Base(expr.data(), expr.rows(), expr.cols());
+    
+    if(Expression::IsVectorAtCompileTime && (!PlainObjectType::IsVectorAtCompileTime) && ((Expression::Flags&RowMajorBit)!=(PlainObjectType::Flags&RowMajorBit)))
+      ::new (&m_stride) StrideBase(expr.innerStride(), StrideType::InnerStrideAtCompileTime==0?0:1);
+    else
+      ::new (&m_stride) StrideBase(StrideType::OuterStrideAtCompileTime==0?0:expr.outerStride(),
+                                   StrideType::InnerStrideAtCompileTime==0?0:expr.innerStride());    
+  }
+
+  StrideBase m_stride;
+};
+
+/** \class Ref
+  * \ingroup Core_Module
+  *
+  * \brief A matrix or vector expression mapping an existing expression
+  *
+  * \tparam PlainObjectType the equivalent matrix type of the mapped data
+  * \tparam Options specifies the pointer alignment in bytes. It can be: \c #Aligned128, , \c #Aligned64, \c #Aligned32, \c #Aligned16, \c #Aligned8 or \c #Unaligned.
+  *                 The default is \c #Unaligned.
+  * \tparam StrideType optionally specifies strides. By default, Ref implies a contiguous storage along the inner dimension (inner stride==1),
+  *                   but accepts a variable outer stride (leading dimension).
+  *                   This can be overridden by specifying strides.
+  *                   The type passed here must be a specialization of the Stride template, see examples below.
+  *
+  * This class provides a way to write non-template functions taking Eigen objects as parameters while limiting the number of copies.
+  * A Ref<> object can represent either a const expression or a l-value:
+  * \code
+  * // in-out argument:
+  * void foo1(Ref<VectorXf> x);
+  *
+  * // read-only const argument:
+  * void foo2(const Ref<const VectorXf>& x);
+  * \endcode
+  *
+  * In the in-out case, the input argument must satisfy the constraints of the actual Ref<> type, otherwise a compilation issue will be triggered.
+  * By default, a Ref<VectorXf> can reference any dense vector expression of float having a contiguous memory layout.
+  * Likewise, a Ref<MatrixXf> can reference any column-major dense matrix expression of float whose column's elements are contiguously stored with
+  * the possibility to have a constant space in-between each column, i.e. the inner stride must be equal to 1, but the outer stride (or leading dimension)
+  * can be greater than the number of rows.
+  *
+  * In the const case, if the input expression does not match the above requirement, then it is evaluated into a temporary before being passed to the function.
+  * Here are some examples:
+  * \code
+  * MatrixXf A;
+  * VectorXf a;
+  * foo1(a.head());             // OK
+  * foo1(A.col());              // OK
+  * foo1(A.row());              // Compilation error because here innerstride!=1
+  * foo2(A.row());              // Compilation error because A.row() is a 1xN object while foo2 is expecting a Nx1 object
+  * foo2(A.row().transpose());  // The row is copied into a contiguous temporary
+  * foo2(2*a);                  // The expression is evaluated into a temporary
+  * foo2(A.col().segment(2,4)); // No temporary
+  * \endcode
+  *
+  * The range of inputs that can be referenced without temporary can be enlarged using the last two template parameters.
+  * Here is an example accepting an innerstride!=1:
+  * \code
+  * // in-out argument:
+  * void foo3(Ref<VectorXf,0,InnerStride<> > x);
+  * foo3(A.row());              // OK
+  * \endcode
+  * The downside here is that the function foo3 might be significantly slower than foo1 because it won't be able to exploit vectorization, and will involve more
+  * expensive address computations even if the input is contiguously stored in memory. To overcome this issue, one might propose to overload internally calling a
+  * template function, e.g.:
+  * \code
+  * // in the .h:
+  * void foo(const Ref<MatrixXf>& A);
+  * void foo(const Ref<MatrixXf,0,Stride<> >& A);
+  *
+  * // in the .cpp:
+  * template<typename TypeOfA> void foo_impl(const TypeOfA& A) {
+  *     ... // crazy code goes here
+  * }
+  * void foo(const Ref<MatrixXf>& A) { foo_impl(A); }
+  * void foo(const Ref<MatrixXf,0,Stride<> >& A) { foo_impl(A); }
+  * \endcode
+  *
+  *
+  * \sa PlainObjectBase::Map(), \ref TopicStorageOrders
+  */
+template<typename PlainObjectType, int Options, typename StrideType> class Ref
+  : public RefBase<Ref<PlainObjectType, Options, StrideType> >
+{
+  private:
+    typedef internal::traits<Ref> Traits;
+    template<typename Derived>
+    EIGEN_DEVICE_FUNC inline Ref(const PlainObjectBase<Derived>& expr,
+                                 typename internal::enable_if<bool(Traits::template match<Derived>::MatchAtCompileTime),Derived>::type* = 0);
+  public:
+
+    typedef RefBase<Ref> Base;
+    EIGEN_DENSE_PUBLIC_INTERFACE(Ref)
+
+
+    #ifndef EIGEN_PARSED_BY_DOXYGEN
+    template<typename Derived>
+    EIGEN_DEVICE_FUNC inline Ref(PlainObjectBase<Derived>& expr,
+                                 typename internal::enable_if<bool(Traits::template match<Derived>::MatchAtCompileTime),Derived>::type* = 0)
+    {
+      EIGEN_STATIC_ASSERT(bool(Traits::template match<Derived>::MatchAtCompileTime), STORAGE_LAYOUT_DOES_NOT_MATCH);
+      Base::construct(expr.derived());
+    }
+    template<typename Derived>
+    EIGEN_DEVICE_FUNC inline Ref(const DenseBase<Derived>& expr,
+                                 typename internal::enable_if<bool(Traits::template match<Derived>::MatchAtCompileTime),Derived>::type* = 0)
+    #else
+    /** Implicit constructor from any dense expression */
+    template<typename Derived>
+    inline Ref(DenseBase<Derived>& expr)
+    #endif
+    {
+      EIGEN_STATIC_ASSERT(bool(internal::is_lvalue<Derived>::value), THIS_EXPRESSION_IS_NOT_A_LVALUE__IT_IS_READ_ONLY);
+      EIGEN_STATIC_ASSERT(bool(Traits::template match<Derived>::MatchAtCompileTime), STORAGE_LAYOUT_DOES_NOT_MATCH);
+      EIGEN_STATIC_ASSERT(!Derived::IsPlainObjectBase,THIS_EXPRESSION_IS_NOT_A_LVALUE__IT_IS_READ_ONLY);
+      Base::construct(expr.const_cast_derived());
+    }
+
+    EIGEN_INHERIT_ASSIGNMENT_OPERATORS(Ref)
+
+};
+
+// this is the const ref version
+template<typename TPlainObjectType, int Options, typename StrideType> class Ref<const TPlainObjectType, Options, StrideType>
+  : public RefBase<Ref<const TPlainObjectType, Options, StrideType> >
+{
+    typedef internal::traits<Ref> Traits;
+  public:
+
+    typedef RefBase<Ref> Base;
+    EIGEN_DENSE_PUBLIC_INTERFACE(Ref)
+
+    template<typename Derived>
+    EIGEN_DEVICE_FUNC inline Ref(const DenseBase<Derived>& expr,
+                                 typename internal::enable_if<bool(Traits::template match<Derived>::ScalarTypeMatch),Derived>::type* = 0)
+    {
+//      std::cout << match_helper<Derived>::HasDirectAccess << "," << match_helper<Derived>::OuterStrideMatch << "," << match_helper<Derived>::InnerStrideMatch << "\n";
+//      std::cout << int(StrideType::OuterStrideAtCompileTime) << " - " << int(Derived::OuterStrideAtCompileTime) << "\n";
+//      std::cout << int(StrideType::InnerStrideAtCompileTime) << " - " << int(Derived::InnerStrideAtCompileTime) << "\n";
+      construct(expr.derived(), typename Traits::template match<Derived>::type());
+    }
+
+    EIGEN_DEVICE_FUNC inline Ref(const Ref& other) : Base(other) {
+      // copy constructor shall not copy the m_object, to avoid unnecessary malloc and copy
+    }
+
+    template<typename OtherRef>
+    EIGEN_DEVICE_FUNC inline Ref(const RefBase<OtherRef>& other) {
+      construct(other.derived(), typename Traits::template match<OtherRef>::type());
+    }
+
+  protected:
+
+    template<typename Expression>
+    EIGEN_DEVICE_FUNC void construct(const Expression& expr,internal::true_type)
+    {
+      Base::construct(expr);
+    }
+
+    template<typename Expression>
+    EIGEN_DEVICE_FUNC void construct(const Expression& expr, internal::false_type)
+    {
+      internal::call_assignment_no_alias(m_object,expr,internal::assign_op<Scalar,Scalar>());
+      Base::construct(m_object);
+    }
+
+  protected:
+    TPlainObjectType m_object;
+};
+
+} // end namespace Eigen
+
+#endif // EIGEN_REF_H
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/functors/UnaryFunctors.h
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/functors/UnaryFunctors.h	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/functors/UnaryFunctors.h	(revision 3761)
@@ -0,0 +1,792 @@
+// This file is part of Eigen, a lightweight C++ template library
+// for linear algebra.
+//
+// Copyright (C) 2008-2016 Gael Guennebaud <gael.guennebaud@inria.fr>
+//
+// This Source Code Form is subject to the terms of the Mozilla
+// Public License v. 2.0. If a copy of the MPL was not distributed
+// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
+
+#ifndef EIGEN_UNARY_FUNCTORS_H
+#define EIGEN_UNARY_FUNCTORS_H
+
+namespace Eigen {
+
+namespace internal {
+
+/** \internal
+  * \brief Template functor to compute the opposite of a scalar
+  *
+  * \sa class CwiseUnaryOp, MatrixBase::operator-
+  */
+template<typename Scalar> struct scalar_opposite_op {
+  EIGEN_EMPTY_STRUCT_CTOR(scalar_opposite_op)
+  EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE const Scalar operator() (const Scalar& a) const { return -a; }
+  template<typename Packet>
+  EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE const Packet packetOp(const Packet& a) const
+  { return internal::pnegate(a); }
+};
+template<typename Scalar>
+struct functor_traits<scalar_opposite_op<Scalar> >
+{ enum {
+    Cost = NumTraits<Scalar>::AddCost,
+    PacketAccess = packet_traits<Scalar>::HasNegate };
+};
+
+/** \internal
+  * \brief Template functor to compute the absolute value of a scalar
+  *
+  * \sa class CwiseUnaryOp, Cwise::abs
+  */
+template<typename Scalar> struct scalar_abs_op {
+  EIGEN_EMPTY_STRUCT_CTOR(scalar_abs_op)
+  typedef typename NumTraits<Scalar>::Real result_type;
+  EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE const result_type operator() (const Scalar& a) const { return numext::abs(a); }
+  template<typename Packet>
+  EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE const Packet packetOp(const Packet& a) const
+  { return internal::pabs(a); }
+};
+template<typename Scalar>
+struct functor_traits<scalar_abs_op<Scalar> >
+{
+  enum {
+    Cost = NumTraits<Scalar>::AddCost,
+    PacketAccess = packet_traits<Scalar>::HasAbs
+  };
+};
+
+/** \internal
+  * \brief Template functor to compute the score of a scalar, to chose a pivot
+  *
+  * \sa class CwiseUnaryOp
+  */
+template<typename Scalar> struct scalar_score_coeff_op : scalar_abs_op<Scalar>
+{
+  typedef void Score_is_abs;
+};
+template<typename Scalar>
+struct functor_traits<scalar_score_coeff_op<Scalar> > : functor_traits<scalar_abs_op<Scalar> > {};
+
+/* Avoid recomputing abs when we know the score and they are the same. Not a true Eigen functor.  */
+template<typename Scalar, typename=void> struct abs_knowing_score
+{
+  EIGEN_EMPTY_STRUCT_CTOR(abs_knowing_score)
+  typedef typename NumTraits<Scalar>::Real result_type;
+  template<typename Score>
+  EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE const result_type operator() (const Scalar& a, const Score&) const { return numext::abs(a); }
+};
+template<typename Scalar> struct abs_knowing_score<Scalar, typename scalar_score_coeff_op<Scalar>::Score_is_abs>
+{
+  EIGEN_EMPTY_STRUCT_CTOR(abs_knowing_score)
+  typedef typename NumTraits<Scalar>::Real result_type;
+  template<typename Scal>
+  EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE const result_type operator() (const Scal&, const result_type& a) const { return a; }
+};
+
+/** \internal
+  * \brief Template functor to compute the squared absolute value of a scalar
+  *
+  * \sa class CwiseUnaryOp, Cwise::abs2
+  */
+template<typename Scalar> struct scalar_abs2_op {
+  EIGEN_EMPTY_STRUCT_CTOR(scalar_abs2_op)
+  typedef typename NumTraits<Scalar>::Real result_type;
+  EIGEN_DEVICE_FUNC
+  EIGEN_STRONG_INLINE const result_type operator() (const Scalar& a) const { return numext::abs2(a); }
+  template<typename Packet>
+  EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE const Packet packetOp(const Packet& a) const
+  { return internal::pmul(a,a); }
+};
+template<typename Scalar>
+struct functor_traits<scalar_abs2_op<Scalar> >
+{ enum { Cost = NumTraits<Scalar>::MulCost, PacketAccess = packet_traits<Scalar>::HasAbs2 }; };
+
+/** \internal
+  * \brief Template functor to compute the conjugate of a complex value
+  *
+  * \sa class CwiseUnaryOp, MatrixBase::conjugate()
+  */
+template<typename Scalar> struct scalar_conjugate_op {
+  EIGEN_EMPTY_STRUCT_CTOR(scalar_conjugate_op)
+  EIGEN_DEVICE_FUNC
+  EIGEN_STRONG_INLINE const Scalar operator() (const Scalar& a) const { using numext::conj; return conj(a); }
+  template<typename Packet>
+  EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE const Packet packetOp(const Packet& a) const { return internal::pconj(a); }
+};
+template<typename Scalar>
+struct functor_traits<scalar_conjugate_op<Scalar> >
+{
+  enum {
+    Cost = NumTraits<Scalar>::IsComplex ? NumTraits<Scalar>::AddCost : 0,
+    PacketAccess = packet_traits<Scalar>::HasConj
+  };
+};
+
+/** \internal
+  * \brief Template functor to compute the phase angle of a complex
+  *
+  * \sa class CwiseUnaryOp, Cwise::arg
+  */
+template<typename Scalar> struct scalar_arg_op {
+  EIGEN_EMPTY_STRUCT_CTOR(scalar_arg_op)
+  typedef typename NumTraits<Scalar>::Real result_type;
+  EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE const result_type operator() (const Scalar& a) const { using numext::arg; return arg(a); }
+  template<typename Packet>
+  EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE const Packet packetOp(const Packet& a) const
+  { return internal::parg(a); }
+};
+template<typename Scalar>
+struct functor_traits<scalar_arg_op<Scalar> >
+{
+  enum {
+    Cost = NumTraits<Scalar>::IsComplex ? 5 * NumTraits<Scalar>::MulCost : NumTraits<Scalar>::AddCost,
+    PacketAccess = packet_traits<Scalar>::HasArg
+  };
+};
+/** \internal
+  * \brief Template functor to cast a scalar to another type
+  *
+  * \sa class CwiseUnaryOp, MatrixBase::cast()
+  */
+template<typename Scalar, typename NewType>
+struct scalar_cast_op {
+  EIGEN_EMPTY_STRUCT_CTOR(scalar_cast_op)
+  typedef NewType result_type;
+  EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE const NewType operator() (const Scalar& a) const { return cast<Scalar, NewType>(a); }
+};
+template<typename Scalar, typename NewType>
+struct functor_traits<scalar_cast_op<Scalar,NewType> >
+{ enum { Cost = is_same<Scalar, NewType>::value ? 0 : NumTraits<NewType>::AddCost, PacketAccess = false }; };
+
+/** \internal
+  * \brief Template functor to extract the real part of a complex
+  *
+  * \sa class CwiseUnaryOp, MatrixBase::real()
+  */
+template<typename Scalar>
+struct scalar_real_op {
+  EIGEN_EMPTY_STRUCT_CTOR(scalar_real_op)
+  typedef typename NumTraits<Scalar>::Real result_type;
+  EIGEN_DEVICE_FUNC
+  EIGEN_STRONG_INLINE result_type operator() (const Scalar& a) const { return numext::real(a); }
+};
+template<typename Scalar>
+struct functor_traits<scalar_real_op<Scalar> >
+{ enum { Cost = 0, PacketAccess = false }; };
+
+/** \internal
+  * \brief Template functor to extract the imaginary part of a complex
+  *
+  * \sa class CwiseUnaryOp, MatrixBase::imag()
+  */
+template<typename Scalar>
+struct scalar_imag_op {
+  EIGEN_EMPTY_STRUCT_CTOR(scalar_imag_op)
+  typedef typename NumTraits<Scalar>::Real result_type;
+  EIGEN_DEVICE_FUNC
+  EIGEN_STRONG_INLINE result_type operator() (const Scalar& a) const { return numext::imag(a); }
+};
+template<typename Scalar>
+struct functor_traits<scalar_imag_op<Scalar> >
+{ enum { Cost = 0, PacketAccess = false }; };
+
+/** \internal
+  * \brief Template functor to extract the real part of a complex as a reference
+  *
+  * \sa class CwiseUnaryOp, MatrixBase::real()
+  */
+template<typename Scalar>
+struct scalar_real_ref_op {
+  EIGEN_EMPTY_STRUCT_CTOR(scalar_real_ref_op)
+  typedef typename NumTraits<Scalar>::Real result_type;
+  EIGEN_DEVICE_FUNC
+  EIGEN_STRONG_INLINE result_type& operator() (const Scalar& a) const { return numext::real_ref(*const_cast<Scalar*>(&a)); }
+};
+template<typename Scalar>
+struct functor_traits<scalar_real_ref_op<Scalar> >
+{ enum { Cost = 0, PacketAccess = false }; };
+
+/** \internal
+  * \brief Template functor to extract the imaginary part of a complex as a reference
+  *
+  * \sa class CwiseUnaryOp, MatrixBase::imag()
+  */
+template<typename Scalar>
+struct scalar_imag_ref_op {
+  EIGEN_EMPTY_STRUCT_CTOR(scalar_imag_ref_op)
+  typedef typename NumTraits<Scalar>::Real result_type;
+  EIGEN_DEVICE_FUNC
+  EIGEN_STRONG_INLINE result_type& operator() (const Scalar& a) const { return numext::imag_ref(*const_cast<Scalar*>(&a)); }
+};
+template<typename Scalar>
+struct functor_traits<scalar_imag_ref_op<Scalar> >
+{ enum { Cost = 0, PacketAccess = false }; };
+
+/** \internal
+  *
+  * \brief Template functor to compute the exponential of a scalar
+  *
+  * \sa class CwiseUnaryOp, Cwise::exp()
+  */
+template<typename Scalar> struct scalar_exp_op {
+  EIGEN_EMPTY_STRUCT_CTOR(scalar_exp_op)
+  EIGEN_DEVICE_FUNC inline const Scalar operator() (const Scalar& a) const { return numext::exp(a); }
+  template <typename Packet>
+  EIGEN_DEVICE_FUNC inline Packet packetOp(const Packet& a) const { return internal::pexp(a); }
+};
+template <typename Scalar>
+struct functor_traits<scalar_exp_op<Scalar> > {
+  enum {
+    PacketAccess = packet_traits<Scalar>::HasExp,
+    // The following numbers are based on the AVX implementation.
+#ifdef EIGEN_VECTORIZE_FMA
+    // Haswell can issue 2 add/mul/madd per cycle.
+    Cost =
+    (sizeof(Scalar) == 4
+     // float: 8 pmadd, 4 pmul, 2 padd/psub, 6 other
+     ? (8 * NumTraits<Scalar>::AddCost + 6 * NumTraits<Scalar>::MulCost)
+     // double: 7 pmadd, 5 pmul, 3 padd/psub, 1 div,  13 other
+     : (14 * NumTraits<Scalar>::AddCost +
+        6 * NumTraits<Scalar>::MulCost +
+        scalar_div_cost<Scalar,packet_traits<Scalar>::HasDiv>::value))
+#else
+    Cost =
+    (sizeof(Scalar) == 4
+     // float: 7 pmadd, 6 pmul, 4 padd/psub, 10 other
+     ? (21 * NumTraits<Scalar>::AddCost + 13 * NumTraits<Scalar>::MulCost)
+     // double: 7 pmadd, 5 pmul, 3 padd/psub, 1 div,  13 other
+     : (23 * NumTraits<Scalar>::AddCost +
+        12 * NumTraits<Scalar>::MulCost +
+        scalar_div_cost<Scalar,packet_traits<Scalar>::HasDiv>::value))
+#endif
+  };
+};
+
+/** \internal
+  *
+  * \brief Template functor to compute the logarithm of a scalar
+  *
+  * \sa class CwiseUnaryOp, ArrayBase::log()
+  */
+template<typename Scalar> struct scalar_log_op {
+  EIGEN_EMPTY_STRUCT_CTOR(scalar_log_op)
+  EIGEN_DEVICE_FUNC inline const Scalar operator() (const Scalar& a) const { return numext::log(a); }
+  template <typename Packet>
+  EIGEN_DEVICE_FUNC inline Packet packetOp(const Packet& a) const { return internal::plog(a); }
+};
+template <typename Scalar>
+struct functor_traits<scalar_log_op<Scalar> > {
+  enum {
+    PacketAccess = packet_traits<Scalar>::HasLog,
+    Cost =
+    (PacketAccess
+     // The following numbers are based on the AVX implementation.
+#ifdef EIGEN_VECTORIZE_FMA
+     // 8 pmadd, 6 pmul, 8 padd/psub, 16 other, can issue 2 add/mul/madd per cycle.
+     ? (20 * NumTraits<Scalar>::AddCost + 7 * NumTraits<Scalar>::MulCost)
+#else
+     // 8 pmadd, 6 pmul, 8 padd/psub, 20 other
+     ? (36 * NumTraits<Scalar>::AddCost + 14 * NumTraits<Scalar>::MulCost)
+#endif
+     // Measured cost of std::log.
+     : sizeof(Scalar)==4 ? 40 : 85)
+  };
+};
+
+/** \internal
+  *
+  * \brief Template functor to compute the logarithm of 1 plus a scalar value
+  *
+  * \sa class CwiseUnaryOp, ArrayBase::log1p()
+  */
+template<typename Scalar> struct scalar_log1p_op {
+  EIGEN_EMPTY_STRUCT_CTOR(scalar_log1p_op)
+  EIGEN_DEVICE_FUNC inline const Scalar operator() (const Scalar& a) const { return numext::log1p(a); }
+  template <typename Packet>
+  EIGEN_DEVICE_FUNC inline Packet packetOp(const Packet& a) const { return internal::plog1p(a); }
+};
+template <typename Scalar>
+struct functor_traits<scalar_log1p_op<Scalar> > {
+  enum {
+    PacketAccess = packet_traits<Scalar>::HasLog1p,
+    Cost = functor_traits<scalar_log_op<Scalar> >::Cost // TODO measure cost of log1p
+  };
+};
+
+/** \internal
+  *
+  * \brief Template functor to compute the base-10 logarithm of a scalar
+  *
+  * \sa class CwiseUnaryOp, Cwise::log10()
+  */
+template<typename Scalar> struct scalar_log10_op {
+  EIGEN_EMPTY_STRUCT_CTOR(scalar_log10_op)
+  EIGEN_DEVICE_FUNC inline const Scalar operator() (const Scalar& a) const { EIGEN_USING_STD_MATH(log10) return log10(a); }
+  template <typename Packet>
+  EIGEN_DEVICE_FUNC inline Packet packetOp(const Packet& a) const { return internal::plog10(a); }
+};
+template<typename Scalar>
+struct functor_traits<scalar_log10_op<Scalar> >
+{ enum { Cost = 5 * NumTraits<Scalar>::MulCost, PacketAccess = packet_traits<Scalar>::HasLog10 }; };
+
+/** \internal
+  * \brief Template functor to compute the square root of a scalar
+  * \sa class CwiseUnaryOp, Cwise::sqrt()
+  */
+template<typename Scalar> struct scalar_sqrt_op {
+  EIGEN_EMPTY_STRUCT_CTOR(scalar_sqrt_op)
+  EIGEN_DEVICE_FUNC inline const Scalar operator() (const Scalar& a) const { return numext::sqrt(a); }
+  template <typename Packet>
+  EIGEN_DEVICE_FUNC inline Packet packetOp(const Packet& a) const { return internal::psqrt(a); }
+};
+template <typename Scalar>
+struct functor_traits<scalar_sqrt_op<Scalar> > {
+  enum {
+#if EIGEN_FAST_MATH
+    // The following numbers are based on the AVX implementation.
+    Cost = (sizeof(Scalar) == 8 ? 28
+                                // 4 pmul, 1 pmadd, 3 other
+                                : (3 * NumTraits<Scalar>::AddCost +
+                                   5 * NumTraits<Scalar>::MulCost)),
+#else
+    // The following numbers are based on min VSQRT throughput on Haswell.
+    Cost = (sizeof(Scalar) == 8 ? 28 : 14),
+#endif
+    PacketAccess = packet_traits<Scalar>::HasSqrt
+  };
+};
+
+/** \internal
+  * \brief Template functor to compute the reciprocal square root of a scalar
+  * \sa class CwiseUnaryOp, Cwise::rsqrt()
+  */
+template<typename Scalar> struct scalar_rsqrt_op {
+  EIGEN_EMPTY_STRUCT_CTOR(scalar_rsqrt_op)
+  EIGEN_DEVICE_FUNC inline const Scalar operator() (const Scalar& a) const { return Scalar(1)/numext::sqrt(a); }
+  template <typename Packet>
+  EIGEN_DEVICE_FUNC inline Packet packetOp(const Packet& a) const { return internal::prsqrt(a); }
+};
+
+template<typename Scalar>
+struct functor_traits<scalar_rsqrt_op<Scalar> >
+{ enum {
+    Cost = 5 * NumTraits<Scalar>::MulCost,
+    PacketAccess = packet_traits<Scalar>::HasRsqrt
+  };
+};
+
+/** \internal
+  * \brief Template functor to compute the cosine of a scalar
+  * \sa class CwiseUnaryOp, ArrayBase::cos()
+  */
+template<typename Scalar> struct scalar_cos_op {
+  EIGEN_EMPTY_STRUCT_CTOR(scalar_cos_op)
+  EIGEN_DEVICE_FUNC inline Scalar operator() (const Scalar& a) const { return numext::cos(a); }
+  template <typename Packet>
+  EIGEN_DEVICE_FUNC inline Packet packetOp(const Packet& a) const { return internal::pcos(a); }
+};
+template<typename Scalar>
+struct functor_traits<scalar_cos_op<Scalar> >
+{
+  enum {
+    Cost = 5 * NumTraits<Scalar>::MulCost,
+    PacketAccess = packet_traits<Scalar>::HasCos
+  };
+};
+
+/** \internal
+  * \brief Template functor to compute the sine of a scalar
+  * \sa class CwiseUnaryOp, ArrayBase::sin()
+  */
+template<typename Scalar> struct scalar_sin_op {
+  EIGEN_EMPTY_STRUCT_CTOR(scalar_sin_op)
+  EIGEN_DEVICE_FUNC inline const Scalar operator() (const Scalar& a) const { return numext::sin(a); }
+  template <typename Packet>
+  EIGEN_DEVICE_FUNC inline Packet packetOp(const Packet& a) const { return internal::psin(a); }
+};
+template<typename Scalar>
+struct functor_traits<scalar_sin_op<Scalar> >
+{
+  enum {
+    Cost = 5 * NumTraits<Scalar>::MulCost,
+    PacketAccess = packet_traits<Scalar>::HasSin
+  };
+};
+
+
+/** \internal
+  * \brief Template functor to compute the tan of a scalar
+  * \sa class CwiseUnaryOp, ArrayBase::tan()
+  */
+template<typename Scalar> struct scalar_tan_op {
+  EIGEN_EMPTY_STRUCT_CTOR(scalar_tan_op)
+  EIGEN_DEVICE_FUNC inline const Scalar operator() (const Scalar& a) const { return numext::tan(a); }
+  template <typename Packet>
+  EIGEN_DEVICE_FUNC inline Packet packetOp(const Packet& a) const { return internal::ptan(a); }
+};
+template<typename Scalar>
+struct functor_traits<scalar_tan_op<Scalar> >
+{
+  enum {
+    Cost = 5 * NumTraits<Scalar>::MulCost,
+    PacketAccess = packet_traits<Scalar>::HasTan
+  };
+};
+
+/** \internal
+  * \brief Template functor to compute the arc cosine of a scalar
+  * \sa class CwiseUnaryOp, ArrayBase::acos()
+  */
+template<typename Scalar> struct scalar_acos_op {
+  EIGEN_EMPTY_STRUCT_CTOR(scalar_acos_op)
+  EIGEN_DEVICE_FUNC inline const Scalar operator() (const Scalar& a) const { return numext::acos(a); }
+  template <typename Packet>
+  EIGEN_DEVICE_FUNC inline Packet packetOp(const Packet& a) const { return internal::pacos(a); }
+};
+template<typename Scalar>
+struct functor_traits<scalar_acos_op<Scalar> >
+{
+  enum {
+    Cost = 5 * NumTraits<Scalar>::MulCost,
+    PacketAccess = packet_traits<Scalar>::HasACos
+  };
+};
+
+/** \internal
+  * \brief Template functor to compute the arc sine of a scalar
+  * \sa class CwiseUnaryOp, ArrayBase::asin()
+  */
+template<typename Scalar> struct scalar_asin_op {
+  EIGEN_EMPTY_STRUCT_CTOR(scalar_asin_op)
+  EIGEN_DEVICE_FUNC inline const Scalar operator() (const Scalar& a) const { return numext::asin(a); }
+  template <typename Packet>
+  EIGEN_DEVICE_FUNC inline Packet packetOp(const Packet& a) const { return internal::pasin(a); }
+};
+template<typename Scalar>
+struct functor_traits<scalar_asin_op<Scalar> >
+{
+  enum {
+    Cost = 5 * NumTraits<Scalar>::MulCost,
+    PacketAccess = packet_traits<Scalar>::HasASin
+  };
+};
+
+
+/** \internal
+  * \brief Template functor to compute the atan of a scalar
+  * \sa class CwiseUnaryOp, ArrayBase::atan()
+  */
+template<typename Scalar> struct scalar_atan_op {
+  EIGEN_EMPTY_STRUCT_CTOR(scalar_atan_op)
+  EIGEN_DEVICE_FUNC inline const Scalar operator() (const Scalar& a) const { return numext::atan(a); }
+  template <typename Packet>
+  EIGEN_DEVICE_FUNC inline Packet packetOp(const Packet& a) const { return internal::patan(a); }
+};
+template<typename Scalar>
+struct functor_traits<scalar_atan_op<Scalar> >
+{
+  enum {
+    Cost = 5 * NumTraits<Scalar>::MulCost,
+    PacketAccess = packet_traits<Scalar>::HasATan
+  };
+};
+
+/** \internal
+  * \brief Template functor to compute the tanh of a scalar
+  * \sa class CwiseUnaryOp, ArrayBase::tanh()
+  */
+template <typename Scalar>
+struct scalar_tanh_op {
+  EIGEN_EMPTY_STRUCT_CTOR(scalar_tanh_op)
+  EIGEN_DEVICE_FUNC inline const Scalar operator()(const Scalar& a) const { return numext::tanh(a); }
+  template <typename Packet>
+  EIGEN_DEVICE_FUNC inline Packet packetOp(const Packet& x) const { return ptanh(x); }
+};
+
+template <typename Scalar>
+struct functor_traits<scalar_tanh_op<Scalar> > {
+  enum {
+    PacketAccess = packet_traits<Scalar>::HasTanh,
+    Cost = ( (EIGEN_FAST_MATH && is_same<Scalar,float>::value)
+// The following numbers are based on the AVX implementation,
+#ifdef EIGEN_VECTORIZE_FMA
+                // Haswell can issue 2 add/mul/madd per cycle.
+                // 9 pmadd, 2 pmul, 1 div, 2 other
+                ? (2 * NumTraits<Scalar>::AddCost +
+                   6 * NumTraits<Scalar>::MulCost +
+                   scalar_div_cost<Scalar,packet_traits<Scalar>::HasDiv>::value)
+#else
+                ? (11 * NumTraits<Scalar>::AddCost +
+                   11 * NumTraits<Scalar>::MulCost +
+                   scalar_div_cost<Scalar,packet_traits<Scalar>::HasDiv>::value)
+#endif
+                // This number assumes a naive implementation of tanh
+                : (6 * NumTraits<Scalar>::AddCost +
+                   3 * NumTraits<Scalar>::MulCost +
+                   2 * scalar_div_cost<Scalar,packet_traits<Scalar>::HasDiv>::value +
+                   functor_traits<scalar_exp_op<Scalar> >::Cost))
+  };
+};
+
+/** \internal
+  * \brief Template functor to compute the sinh of a scalar
+  * \sa class CwiseUnaryOp, ArrayBase::sinh()
+  */
+template<typename Scalar> struct scalar_sinh_op {
+  EIGEN_EMPTY_STRUCT_CTOR(scalar_sinh_op)
+  EIGEN_DEVICE_FUNC inline const Scalar operator() (const Scalar& a) const { return numext::sinh(a); }
+  template <typename Packet>
+  EIGEN_DEVICE_FUNC inline Packet packetOp(const Packet& a) const { return internal::psinh(a); }
+};
+template<typename Scalar>
+struct functor_traits<scalar_sinh_op<Scalar> >
+{
+  enum {
+    Cost = 5 * NumTraits<Scalar>::MulCost,
+    PacketAccess = packet_traits<Scalar>::HasSinh
+  };
+};
+
+/** \internal
+  * \brief Template functor to compute the cosh of a scalar
+  * \sa class CwiseUnaryOp, ArrayBase::cosh()
+  */
+template<typename Scalar> struct scalar_cosh_op {
+  EIGEN_EMPTY_STRUCT_CTOR(scalar_cosh_op)
+  EIGEN_DEVICE_FUNC inline const Scalar operator() (const Scalar& a) const { return numext::cosh(a); }
+  template <typename Packet>
+  EIGEN_DEVICE_FUNC inline Packet packetOp(const Packet& a) const { return internal::pcosh(a); }
+};
+template<typename Scalar>
+struct functor_traits<scalar_cosh_op<Scalar> >
+{
+  enum {
+    Cost = 5 * NumTraits<Scalar>::MulCost,
+    PacketAccess = packet_traits<Scalar>::HasCosh
+  };
+};
+
+/** \internal
+  * \brief Template functor to compute the inverse of a scalar
+  * \sa class CwiseUnaryOp, Cwise::inverse()
+  */
+template<typename Scalar>
+struct scalar_inverse_op {
+  EIGEN_EMPTY_STRUCT_CTOR(scalar_inverse_op)
+  EIGEN_DEVICE_FUNC inline Scalar operator() (const Scalar& a) const { return Scalar(1)/a; }
+  template<typename Packet>
+  EIGEN_DEVICE_FUNC inline const Packet packetOp(const Packet& a) const
+  { return internal::pdiv(pset1<Packet>(Scalar(1)),a); }
+};
+template<typename Scalar>
+struct functor_traits<scalar_inverse_op<Scalar> >
+{ enum { Cost = NumTraits<Scalar>::MulCost, PacketAccess = packet_traits<Scalar>::HasDiv }; };
+
+/** \internal
+  * \brief Template functor to compute the square of a scalar
+  * \sa class CwiseUnaryOp, Cwise::square()
+  */
+template<typename Scalar>
+struct scalar_square_op {
+  EIGEN_EMPTY_STRUCT_CTOR(scalar_square_op)
+  EIGEN_DEVICE_FUNC inline Scalar operator() (const Scalar& a) const { return a*a; }
+  template<typename Packet>
+  EIGEN_DEVICE_FUNC inline const Packet packetOp(const Packet& a) const
+  { return internal::pmul(a,a); }
+};
+template<typename Scalar>
+struct functor_traits<scalar_square_op<Scalar> >
+{ enum { Cost = NumTraits<Scalar>::MulCost, PacketAccess = packet_traits<Scalar>::HasMul }; };
+
+/** \internal
+  * \brief Template functor to compute the cube of a scalar
+  * \sa class CwiseUnaryOp, Cwise::cube()
+  */
+template<typename Scalar>
+struct scalar_cube_op {
+  EIGEN_EMPTY_STRUCT_CTOR(scalar_cube_op)
+  EIGEN_DEVICE_FUNC inline Scalar operator() (const Scalar& a) const { return a*a*a; }
+  template<typename Packet>
+  EIGEN_DEVICE_FUNC inline const Packet packetOp(const Packet& a) const
+  { return internal::pmul(a,pmul(a,a)); }
+};
+template<typename Scalar>
+struct functor_traits<scalar_cube_op<Scalar> >
+{ enum { Cost = 2*NumTraits<Scalar>::MulCost, PacketAccess = packet_traits<Scalar>::HasMul }; };
+
+/** \internal
+  * \brief Template functor to compute the rounded value of a scalar
+  * \sa class CwiseUnaryOp, ArrayBase::round()
+  */
+template<typename Scalar> struct scalar_round_op {
+  EIGEN_EMPTY_STRUCT_CTOR(scalar_round_op)
+  EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE const Scalar operator() (const Scalar& a) const { return numext::round(a); }
+  template <typename Packet>
+  EIGEN_DEVICE_FUNC inline Packet packetOp(const Packet& a) const { return internal::pround(a); }
+};
+template<typename Scalar>
+struct functor_traits<scalar_round_op<Scalar> >
+{
+  enum {
+    Cost = NumTraits<Scalar>::MulCost,
+    PacketAccess = packet_traits<Scalar>::HasRound
+  };
+};
+
+/** \internal
+  * \brief Template functor to compute the floor of a scalar
+  * \sa class CwiseUnaryOp, ArrayBase::floor()
+  */
+template<typename Scalar> struct scalar_floor_op {
+  EIGEN_EMPTY_STRUCT_CTOR(scalar_floor_op)
+  EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE const Scalar operator() (const Scalar& a) const { return numext::floor(a); }
+  template <typename Packet>
+  EIGEN_DEVICE_FUNC inline Packet packetOp(const Packet& a) const { return internal::pfloor(a); }
+};
+template<typename Scalar>
+struct functor_traits<scalar_floor_op<Scalar> >
+{
+  enum {
+    Cost = NumTraits<Scalar>::MulCost,
+    PacketAccess = packet_traits<Scalar>::HasFloor
+  };
+};
+
+/** \internal
+  * \brief Template functor to compute the ceil of a scalar
+  * \sa class CwiseUnaryOp, ArrayBase::ceil()
+  */
+template<typename Scalar> struct scalar_ceil_op {
+  EIGEN_EMPTY_STRUCT_CTOR(scalar_ceil_op)
+  EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE const Scalar operator() (const Scalar& a) const { return numext::ceil(a); }
+  template <typename Packet>
+  EIGEN_DEVICE_FUNC inline Packet packetOp(const Packet& a) const { return internal::pceil(a); }
+};
+template<typename Scalar>
+struct functor_traits<scalar_ceil_op<Scalar> >
+{
+  enum {
+    Cost = NumTraits<Scalar>::MulCost,
+    PacketAccess = packet_traits<Scalar>::HasCeil
+  };
+};
+
+/** \internal
+  * \brief Template functor to compute whether a scalar is NaN
+  * \sa class CwiseUnaryOp, ArrayBase::isnan()
+  */
+template<typename Scalar> struct scalar_isnan_op {
+  EIGEN_EMPTY_STRUCT_CTOR(scalar_isnan_op)
+  typedef bool result_type;
+  EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE result_type operator() (const Scalar& a) const { return (numext::isnan)(a); }
+};
+template<typename Scalar>
+struct functor_traits<scalar_isnan_op<Scalar> >
+{
+  enum {
+    Cost = NumTraits<Scalar>::MulCost,
+    PacketAccess = false
+  };
+};
+
+/** \internal
+  * \brief Template functor to check whether a scalar is +/-inf
+  * \sa class CwiseUnaryOp, ArrayBase::isinf()
+  */
+template<typename Scalar> struct scalar_isinf_op {
+  EIGEN_EMPTY_STRUCT_CTOR(scalar_isinf_op)
+  typedef bool result_type;
+  EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE result_type operator() (const Scalar& a) const { return (numext::isinf)(a); }
+};
+template<typename Scalar>
+struct functor_traits<scalar_isinf_op<Scalar> >
+{
+  enum {
+    Cost = NumTraits<Scalar>::MulCost,
+    PacketAccess = false
+  };
+};
+
+/** \internal
+  * \brief Template functor to check whether a scalar has a finite value
+  * \sa class CwiseUnaryOp, ArrayBase::isfinite()
+  */
+template<typename Scalar> struct scalar_isfinite_op {
+  EIGEN_EMPTY_STRUCT_CTOR(scalar_isfinite_op)
+  typedef bool result_type;
+  EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE result_type operator() (const Scalar& a) const { return (numext::isfinite)(a); }
+};
+template<typename Scalar>
+struct functor_traits<scalar_isfinite_op<Scalar> >
+{
+  enum {
+    Cost = NumTraits<Scalar>::MulCost,
+    PacketAccess = false
+  };
+};
+
+/** \internal
+  * \brief Template functor to compute the logical not of a boolean
+  *
+  * \sa class CwiseUnaryOp, ArrayBase::operator!
+  */
+template<typename Scalar> struct scalar_boolean_not_op {
+  EIGEN_EMPTY_STRUCT_CTOR(scalar_boolean_not_op)
+  EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE bool operator() (const bool& a) const { return !a; }
+};
+template<typename Scalar>
+struct functor_traits<scalar_boolean_not_op<Scalar> > {
+  enum {
+    Cost = NumTraits<bool>::AddCost,
+    PacketAccess = false
+  };
+};
+
+/** \internal
+  * \brief Template functor to compute the signum of a scalar
+  * \sa class CwiseUnaryOp, Cwise::sign()
+  */
+template<typename Scalar,bool iscpx=(NumTraits<Scalar>::IsComplex!=0) > struct scalar_sign_op;
+template<typename Scalar>
+struct scalar_sign_op<Scalar,false> {
+  EIGEN_EMPTY_STRUCT_CTOR(scalar_sign_op)
+  EIGEN_DEVICE_FUNC inline const Scalar operator() (const Scalar& a) const
+  {
+      return Scalar( (a>Scalar(0)) - (a<Scalar(0)) );
+  }
+  //TODO
+  //template <typename Packet>
+  //EIGEN_DEVICE_FUNC inline Packet packetOp(const Packet& a) const { return internal::psign(a); }
+};
+template<typename Scalar>
+struct scalar_sign_op<Scalar,true> {
+  EIGEN_EMPTY_STRUCT_CTOR(scalar_sign_op)
+  EIGEN_DEVICE_FUNC inline const Scalar operator() (const Scalar& a) const
+  {
+    typedef typename NumTraits<Scalar>::Real real_type;
+    real_type aa = numext::abs(a);
+    if (aa==real_type(0))
+      return Scalar(0);
+    aa = real_type(1)/aa;
+    return Scalar(a.real()*aa, a.imag()*aa );
+  }
+  //TODO
+  //template <typename Packet>
+  //EIGEN_DEVICE_FUNC inline Packet packetOp(const Packet& a) const { return internal::psign(a); }
+};
+template<typename Scalar>
+struct functor_traits<scalar_sign_op<Scalar> >
+{ enum {
+    Cost = 
+        NumTraits<Scalar>::IsComplex
+        ? ( 8*NumTraits<Scalar>::MulCost  ) // roughly
+        : ( 3*NumTraits<Scalar>::AddCost),
+    PacketAccess = packet_traits<Scalar>::HasSign
+  };
+};
+
+} // end namespace internal
+
+} // end namespace Eigen
+
+#endif // EIGEN_FUNCTORS_H
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/functors/StlFunctors.h
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/functors/StlFunctors.h	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/functors/StlFunctors.h	(revision 3761)
@@ -0,0 +1,136 @@
+// This file is part of Eigen, a lightweight C++ template library
+// for linear algebra.
+//
+// Copyright (C) 2008-2010 Gael Guennebaud <gael.guennebaud@inria.fr>
+//
+// This Source Code Form is subject to the terms of the Mozilla
+// Public License v. 2.0. If a copy of the MPL was not distributed
+// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
+
+#ifndef EIGEN_STL_FUNCTORS_H
+#define EIGEN_STL_FUNCTORS_H
+
+namespace Eigen {
+
+namespace internal {
+
+// default functor traits for STL functors:
+
+template<typename T>
+struct functor_traits<std::multiplies<T> >
+{ enum { Cost = NumTraits<T>::MulCost, PacketAccess = false }; };
+
+template<typename T>
+struct functor_traits<std::divides<T> >
+{ enum { Cost = NumTraits<T>::MulCost, PacketAccess = false }; };
+
+template<typename T>
+struct functor_traits<std::plus<T> >
+{ enum { Cost = NumTraits<T>::AddCost, PacketAccess = false }; };
+
+template<typename T>
+struct functor_traits<std::minus<T> >
+{ enum { Cost = NumTraits<T>::AddCost, PacketAccess = false }; };
+
+template<typename T>
+struct functor_traits<std::negate<T> >
+{ enum { Cost = NumTraits<T>::AddCost, PacketAccess = false }; };
+
+template<typename T>
+struct functor_traits<std::logical_or<T> >
+{ enum { Cost = 1, PacketAccess = false }; };
+
+template<typename T>
+struct functor_traits<std::logical_and<T> >
+{ enum { Cost = 1, PacketAccess = false }; };
+
+template<typename T>
+struct functor_traits<std::logical_not<T> >
+{ enum { Cost = 1, PacketAccess = false }; };
+
+template<typename T>
+struct functor_traits<std::greater<T> >
+{ enum { Cost = 1, PacketAccess = false }; };
+
+template<typename T>
+struct functor_traits<std::less<T> >
+{ enum { Cost = 1, PacketAccess = false }; };
+
+template<typename T>
+struct functor_traits<std::greater_equal<T> >
+{ enum { Cost = 1, PacketAccess = false }; };
+
+template<typename T>
+struct functor_traits<std::less_equal<T> >
+{ enum { Cost = 1, PacketAccess = false }; };
+
+template<typename T>
+struct functor_traits<std::equal_to<T> >
+{ enum { Cost = 1, PacketAccess = false }; };
+
+template<typename T>
+struct functor_traits<std::not_equal_to<T> >
+{ enum { Cost = 1, PacketAccess = false }; };
+
+#if (__cplusplus < 201103L) && (EIGEN_COMP_MSVC <= 1900)
+// std::binder* are deprecated since c++11 and will be removed in c++17
+template<typename T>
+struct functor_traits<std::binder2nd<T> >
+{ enum { Cost = functor_traits<T>::Cost, PacketAccess = false }; };
+
+template<typename T>
+struct functor_traits<std::binder1st<T> >
+{ enum { Cost = functor_traits<T>::Cost, PacketAccess = false }; };
+#endif
+
+#if (__cplusplus < 201703L) && (EIGEN_COMP_MSVC < 1910)
+// std::unary_negate is deprecated since c++17 and will be removed in c++20
+template<typename T>
+struct functor_traits<std::unary_negate<T> >
+{ enum { Cost = 1 + functor_traits<T>::Cost, PacketAccess = false }; };
+
+// std::binary_negate is deprecated since c++17 and will be removed in c++20
+template<typename T>
+struct functor_traits<std::binary_negate<T> >
+{ enum { Cost = 1 + functor_traits<T>::Cost, PacketAccess = false }; };
+#endif
+
+#ifdef EIGEN_STDEXT_SUPPORT
+
+template<typename T0,typename T1>
+struct functor_traits<std::project1st<T0,T1> >
+{ enum { Cost = 0, PacketAccess = false }; };
+
+template<typename T0,typename T1>
+struct functor_traits<std::project2nd<T0,T1> >
+{ enum { Cost = 0, PacketAccess = false }; };
+
+template<typename T0,typename T1>
+struct functor_traits<std::select2nd<std::pair<T0,T1> > >
+{ enum { Cost = 0, PacketAccess = false }; };
+
+template<typename T0,typename T1>
+struct functor_traits<std::select1st<std::pair<T0,T1> > >
+{ enum { Cost = 0, PacketAccess = false }; };
+
+template<typename T0,typename T1>
+struct functor_traits<std::unary_compose<T0,T1> >
+{ enum { Cost = functor_traits<T0>::Cost + functor_traits<T1>::Cost, PacketAccess = false }; };
+
+template<typename T0,typename T1,typename T2>
+struct functor_traits<std::binary_compose<T0,T1,T2> >
+{ enum { Cost = functor_traits<T0>::Cost + functor_traits<T1>::Cost + functor_traits<T2>::Cost, PacketAccess = false }; };
+
+#endif // EIGEN_STDEXT_SUPPORT
+
+// allow to add new functors and specializations of functor_traits from outside Eigen.
+// this macro is really needed because functor_traits must be specialized after it is declared but before it is used...
+#ifdef EIGEN_FUNCTORS_PLUGIN
+#include EIGEN_FUNCTORS_PLUGIN
+#endif
+
+} // end namespace internal
+
+} // end namespace Eigen
+
+#endif // EIGEN_STL_FUNCTORS_H
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/functors/BinaryFunctors.h
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/functors/BinaryFunctors.h	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/functors/BinaryFunctors.h	(revision 3761)
@@ -0,0 +1,475 @@
+// This file is part of Eigen, a lightweight C++ template library
+// for linear algebra.
+//
+// Copyright (C) 2008-2010 Gael Guennebaud <gael.guennebaud@inria.fr>
+//
+// This Source Code Form is subject to the terms of the Mozilla
+// Public License v. 2.0. If a copy of the MPL was not distributed
+// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
+
+#ifndef EIGEN_BINARY_FUNCTORS_H
+#define EIGEN_BINARY_FUNCTORS_H
+
+namespace Eigen {
+
+namespace internal {
+
+//---------- associative binary functors ----------
+
+template<typename Arg1, typename Arg2>
+struct binary_op_base
+{
+  typedef Arg1 first_argument_type;
+  typedef Arg2 second_argument_type;
+};
+
+/** \internal
+  * \brief Template functor to compute the sum of two scalars
+  *
+  * \sa class CwiseBinaryOp, MatrixBase::operator+, class VectorwiseOp, DenseBase::sum()
+  */
+template<typename LhsScalar,typename RhsScalar>
+struct scalar_sum_op : binary_op_base<LhsScalar,RhsScalar>
+{
+  typedef typename ScalarBinaryOpTraits<LhsScalar,RhsScalar,scalar_sum_op>::ReturnType result_type;
+#ifndef EIGEN_SCALAR_BINARY_OP_PLUGIN
+  EIGEN_EMPTY_STRUCT_CTOR(scalar_sum_op)
+#else
+  scalar_sum_op() {
+    EIGEN_SCALAR_BINARY_OP_PLUGIN
+  }
+#endif
+  EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE const result_type operator() (const LhsScalar& a, const RhsScalar& b) const { return a + b; }
+  template<typename Packet>
+  EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE const Packet packetOp(const Packet& a, const Packet& b) const
+  { return internal::padd(a,b); }
+  template<typename Packet>
+  EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE const result_type predux(const Packet& a) const
+  { return internal::predux(a); }
+};
+template<typename LhsScalar,typename RhsScalar>
+struct functor_traits<scalar_sum_op<LhsScalar,RhsScalar> > {
+  enum {
+    Cost = (NumTraits<LhsScalar>::AddCost+NumTraits<RhsScalar>::AddCost)/2, // rough estimate!
+    PacketAccess = is_same<LhsScalar,RhsScalar>::value && packet_traits<LhsScalar>::HasAdd && packet_traits<RhsScalar>::HasAdd
+    // TODO vectorize mixed sum
+  };
+};
+
+/** \internal
+  * \brief Template specialization to deprecate the summation of boolean expressions.
+  * This is required to solve Bug 426.
+  * \sa DenseBase::count(), DenseBase::any(), ArrayBase::cast(), MatrixBase::cast()
+  */
+template<> struct scalar_sum_op<bool,bool> : scalar_sum_op<int,int> {
+  EIGEN_DEPRECATED
+  scalar_sum_op() {}
+};
+
+
+/** \internal
+  * \brief Template functor to compute the product of two scalars
+  *
+  * \sa class CwiseBinaryOp, Cwise::operator*(), class VectorwiseOp, MatrixBase::redux()
+  */
+template<typename LhsScalar,typename RhsScalar>
+struct scalar_product_op  : binary_op_base<LhsScalar,RhsScalar>
+{
+  typedef typename ScalarBinaryOpTraits<LhsScalar,RhsScalar,scalar_product_op>::ReturnType result_type;
+#ifndef EIGEN_SCALAR_BINARY_OP_PLUGIN
+  EIGEN_EMPTY_STRUCT_CTOR(scalar_product_op)
+#else
+  scalar_product_op() {
+    EIGEN_SCALAR_BINARY_OP_PLUGIN
+  }
+#endif
+  EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE const result_type operator() (const LhsScalar& a, const RhsScalar& b) const { return a * b; }
+  template<typename Packet>
+  EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE const Packet packetOp(const Packet& a, const Packet& b) const
+  { return internal::pmul(a,b); }
+  template<typename Packet>
+  EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE const result_type predux(const Packet& a) const
+  { return internal::predux_mul(a); }
+};
+template<typename LhsScalar,typename RhsScalar>
+struct functor_traits<scalar_product_op<LhsScalar,RhsScalar> > {
+  enum {
+    Cost = (NumTraits<LhsScalar>::MulCost + NumTraits<RhsScalar>::MulCost)/2, // rough estimate!
+    PacketAccess = is_same<LhsScalar,RhsScalar>::value && packet_traits<LhsScalar>::HasMul && packet_traits<RhsScalar>::HasMul
+    // TODO vectorize mixed product
+  };
+};
+
+/** \internal
+  * \brief Template functor to compute the conjugate product of two scalars
+  *
+  * This is a short cut for conj(x) * y which is needed for optimization purpose; in Eigen2 support mode, this becomes x * conj(y)
+  */
+template<typename LhsScalar,typename RhsScalar>
+struct scalar_conj_product_op  : binary_op_base<LhsScalar,RhsScalar>
+{
+
+  enum {
+    Conj = NumTraits<LhsScalar>::IsComplex
+  };
+  
+  typedef typename ScalarBinaryOpTraits<LhsScalar,RhsScalar,scalar_conj_product_op>::ReturnType result_type;
+  
+  EIGEN_EMPTY_STRUCT_CTOR(scalar_conj_product_op)
+  EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE const result_type operator() (const LhsScalar& a, const RhsScalar& b) const
+  { return conj_helper<LhsScalar,RhsScalar,Conj,false>().pmul(a,b); }
+  
+  template<typename Packet>
+  EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE const Packet packetOp(const Packet& a, const Packet& b) const
+  { return conj_helper<Packet,Packet,Conj,false>().pmul(a,b); }
+};
+template<typename LhsScalar,typename RhsScalar>
+struct functor_traits<scalar_conj_product_op<LhsScalar,RhsScalar> > {
+  enum {
+    Cost = NumTraits<LhsScalar>::MulCost,
+    PacketAccess = internal::is_same<LhsScalar, RhsScalar>::value && packet_traits<LhsScalar>::HasMul
+  };
+};
+
+/** \internal
+  * \brief Template functor to compute the min of two scalars
+  *
+  * \sa class CwiseBinaryOp, MatrixBase::cwiseMin, class VectorwiseOp, MatrixBase::minCoeff()
+  */
+template<typename LhsScalar,typename RhsScalar>
+struct scalar_min_op : binary_op_base<LhsScalar,RhsScalar>
+{
+  typedef typename ScalarBinaryOpTraits<LhsScalar,RhsScalar,scalar_min_op>::ReturnType result_type;
+  EIGEN_EMPTY_STRUCT_CTOR(scalar_min_op)
+  EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE const result_type operator() (const LhsScalar& a, const RhsScalar& b) const { return numext::mini(a, b); }
+  template<typename Packet>
+  EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE const Packet packetOp(const Packet& a, const Packet& b) const
+  { return internal::pmin(a,b); }
+  template<typename Packet>
+  EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE const result_type predux(const Packet& a) const
+  { return internal::predux_min(a); }
+};
+template<typename LhsScalar,typename RhsScalar>
+struct functor_traits<scalar_min_op<LhsScalar,RhsScalar> > {
+  enum {
+    Cost = (NumTraits<LhsScalar>::AddCost+NumTraits<RhsScalar>::AddCost)/2,
+    PacketAccess = internal::is_same<LhsScalar, RhsScalar>::value && packet_traits<LhsScalar>::HasMin
+  };
+};
+
+/** \internal
+  * \brief Template functor to compute the max of two scalars
+  *
+  * \sa class CwiseBinaryOp, MatrixBase::cwiseMax, class VectorwiseOp, MatrixBase::maxCoeff()
+  */
+template<typename LhsScalar,typename RhsScalar>
+struct scalar_max_op  : binary_op_base<LhsScalar,RhsScalar>
+{
+  typedef typename ScalarBinaryOpTraits<LhsScalar,RhsScalar,scalar_max_op>::ReturnType result_type;
+  EIGEN_EMPTY_STRUCT_CTOR(scalar_max_op)
+  EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE const result_type operator() (const LhsScalar& a, const RhsScalar& b) const { return numext::maxi(a, b); }
+  template<typename Packet>
+  EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE const Packet packetOp(const Packet& a, const Packet& b) const
+  { return internal::pmax(a,b); }
+  template<typename Packet>
+  EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE const result_type predux(const Packet& a) const
+  { return internal::predux_max(a); }
+};
+template<typename LhsScalar,typename RhsScalar>
+struct functor_traits<scalar_max_op<LhsScalar,RhsScalar> > {
+  enum {
+    Cost = (NumTraits<LhsScalar>::AddCost+NumTraits<RhsScalar>::AddCost)/2,
+    PacketAccess = internal::is_same<LhsScalar, RhsScalar>::value && packet_traits<LhsScalar>::HasMax
+  };
+};
+
+/** \internal
+  * \brief Template functors for comparison of two scalars
+  * \todo Implement packet-comparisons
+  */
+template<typename LhsScalar, typename RhsScalar, ComparisonName cmp> struct scalar_cmp_op;
+
+template<typename LhsScalar, typename RhsScalar, ComparisonName cmp>
+struct functor_traits<scalar_cmp_op<LhsScalar,RhsScalar, cmp> > {
+  enum {
+    Cost = (NumTraits<LhsScalar>::AddCost+NumTraits<RhsScalar>::AddCost)/2,
+    PacketAccess = false
+  };
+};
+
+template<ComparisonName Cmp, typename LhsScalar, typename RhsScalar>
+struct result_of<scalar_cmp_op<LhsScalar, RhsScalar, Cmp>(LhsScalar,RhsScalar)> {
+  typedef bool type;
+};
+
+
+template<typename LhsScalar, typename RhsScalar>
+struct scalar_cmp_op<LhsScalar,RhsScalar, cmp_EQ> : binary_op_base<LhsScalar,RhsScalar>
+{
+  typedef bool result_type;
+  EIGEN_EMPTY_STRUCT_CTOR(scalar_cmp_op)
+  EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE bool operator()(const LhsScalar& a, const RhsScalar& b) const {return a==b;}
+};
+template<typename LhsScalar, typename RhsScalar>
+struct scalar_cmp_op<LhsScalar,RhsScalar, cmp_LT> : binary_op_base<LhsScalar,RhsScalar>
+{
+  typedef bool result_type;
+  EIGEN_EMPTY_STRUCT_CTOR(scalar_cmp_op)
+  EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE bool operator()(const LhsScalar& a, const RhsScalar& b) const {return a<b;}
+};
+template<typename LhsScalar, typename RhsScalar>
+struct scalar_cmp_op<LhsScalar,RhsScalar, cmp_LE> : binary_op_base<LhsScalar,RhsScalar>
+{
+  typedef bool result_type;
+  EIGEN_EMPTY_STRUCT_CTOR(scalar_cmp_op)
+  EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE bool operator()(const LhsScalar& a, const RhsScalar& b) const {return a<=b;}
+};
+template<typename LhsScalar, typename RhsScalar>
+struct scalar_cmp_op<LhsScalar,RhsScalar, cmp_GT> : binary_op_base<LhsScalar,RhsScalar>
+{
+  typedef bool result_type;
+  EIGEN_EMPTY_STRUCT_CTOR(scalar_cmp_op)
+  EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE bool operator()(const LhsScalar& a, const RhsScalar& b) const {return a>b;}
+};
+template<typename LhsScalar, typename RhsScalar>
+struct scalar_cmp_op<LhsScalar,RhsScalar, cmp_GE> : binary_op_base<LhsScalar,RhsScalar>
+{
+  typedef bool result_type;
+  EIGEN_EMPTY_STRUCT_CTOR(scalar_cmp_op)
+  EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE bool operator()(const LhsScalar& a, const RhsScalar& b) const {return a>=b;}
+};
+template<typename LhsScalar, typename RhsScalar>
+struct scalar_cmp_op<LhsScalar,RhsScalar, cmp_UNORD> : binary_op_base<LhsScalar,RhsScalar>
+{
+  typedef bool result_type;
+  EIGEN_EMPTY_STRUCT_CTOR(scalar_cmp_op)
+  EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE bool operator()(const LhsScalar& a, const RhsScalar& b) const {return !(a<=b || b<=a);}
+};
+template<typename LhsScalar, typename RhsScalar>
+struct scalar_cmp_op<LhsScalar,RhsScalar, cmp_NEQ> : binary_op_base<LhsScalar,RhsScalar>
+{
+  typedef bool result_type;
+  EIGEN_EMPTY_STRUCT_CTOR(scalar_cmp_op)
+  EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE bool operator()(const LhsScalar& a, const RhsScalar& b) const {return a!=b;}
+};
+
+
+/** \internal
+  * \brief Template functor to compute the hypot of two \b positive \b and \b real scalars
+  *
+  * \sa MatrixBase::stableNorm(), class Redux
+  */
+template<typename Scalar>
+struct scalar_hypot_op<Scalar,Scalar> : binary_op_base<Scalar,Scalar>
+{
+  EIGEN_EMPTY_STRUCT_CTOR(scalar_hypot_op)
+
+  EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE const Scalar operator() (const Scalar &x, const Scalar &y) const
+  {
+    // This functor is used by hypotNorm only for which it is faster to first apply abs
+    // on all coefficients prior to reduction through hypot.
+    // This way we avoid calling abs on positive and real entries, and this also permits
+    // to seamlessly handle complexes. Otherwise we would have to handle both real and complexes
+    // through the same functor...
+    return internal::positive_real_hypot(x,y);
+  }
+};
+template<typename Scalar>
+struct functor_traits<scalar_hypot_op<Scalar,Scalar> > {
+  enum
+  {
+    Cost = 3 * NumTraits<Scalar>::AddCost +
+           2 * NumTraits<Scalar>::MulCost +
+           2 * scalar_div_cost<Scalar,false>::value,
+    PacketAccess = false
+  };
+};
+
+/** \internal
+  * \brief Template functor to compute the pow of two scalars
+  */
+template<typename Scalar, typename Exponent>
+struct scalar_pow_op  : binary_op_base<Scalar,Exponent>
+{
+  typedef typename ScalarBinaryOpTraits<Scalar,Exponent,scalar_pow_op>::ReturnType result_type;
+#ifndef EIGEN_SCALAR_BINARY_OP_PLUGIN
+  EIGEN_EMPTY_STRUCT_CTOR(scalar_pow_op)
+#else
+  scalar_pow_op() {
+    typedef Scalar LhsScalar;
+    typedef Exponent RhsScalar;
+    EIGEN_SCALAR_BINARY_OP_PLUGIN
+  }
+#endif
+  EIGEN_DEVICE_FUNC
+  inline result_type operator() (const Scalar& a, const Exponent& b) const { return numext::pow(a, b); }
+};
+template<typename Scalar, typename Exponent>
+struct functor_traits<scalar_pow_op<Scalar,Exponent> > {
+  enum { Cost = 5 * NumTraits<Scalar>::MulCost, PacketAccess = false };
+};
+
+
+
+//---------- non associative binary functors ----------
+
+/** \internal
+  * \brief Template functor to compute the difference of two scalars
+  *
+  * \sa class CwiseBinaryOp, MatrixBase::operator-
+  */
+template<typename LhsScalar,typename RhsScalar>
+struct scalar_difference_op : binary_op_base<LhsScalar,RhsScalar>
+{
+  typedef typename ScalarBinaryOpTraits<LhsScalar,RhsScalar,scalar_difference_op>::ReturnType result_type;
+#ifndef EIGEN_SCALAR_BINARY_OP_PLUGIN
+  EIGEN_EMPTY_STRUCT_CTOR(scalar_difference_op)
+#else
+  scalar_difference_op() {
+    EIGEN_SCALAR_BINARY_OP_PLUGIN
+  }
+#endif
+  EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE const result_type operator() (const LhsScalar& a, const RhsScalar& b) const { return a - b; }
+  template<typename Packet>
+  EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE const Packet packetOp(const Packet& a, const Packet& b) const
+  { return internal::psub(a,b); }
+};
+template<typename LhsScalar,typename RhsScalar>
+struct functor_traits<scalar_difference_op<LhsScalar,RhsScalar> > {
+  enum {
+    Cost = (NumTraits<LhsScalar>::AddCost+NumTraits<RhsScalar>::AddCost)/2,
+    PacketAccess = is_same<LhsScalar,RhsScalar>::value && packet_traits<LhsScalar>::HasSub && packet_traits<RhsScalar>::HasSub
+  };
+};
+
+/** \internal
+  * \brief Template functor to compute the quotient of two scalars
+  *
+  * \sa class CwiseBinaryOp, Cwise::operator/()
+  */
+template<typename LhsScalar,typename RhsScalar>
+struct scalar_quotient_op  : binary_op_base<LhsScalar,RhsScalar>
+{
+  typedef typename ScalarBinaryOpTraits<LhsScalar,RhsScalar,scalar_quotient_op>::ReturnType result_type;
+#ifndef EIGEN_SCALAR_BINARY_OP_PLUGIN
+  EIGEN_EMPTY_STRUCT_CTOR(scalar_quotient_op)
+#else
+  scalar_quotient_op() {
+    EIGEN_SCALAR_BINARY_OP_PLUGIN
+  }
+#endif
+  EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE const result_type operator() (const LhsScalar& a, const RhsScalar& b) const { return a / b; }
+  template<typename Packet>
+  EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE const Packet packetOp(const Packet& a, const Packet& b) const
+  { return internal::pdiv(a,b); }
+};
+template<typename LhsScalar,typename RhsScalar>
+struct functor_traits<scalar_quotient_op<LhsScalar,RhsScalar> > {
+  typedef typename scalar_quotient_op<LhsScalar,RhsScalar>::result_type result_type;
+  enum {
+    PacketAccess = is_same<LhsScalar,RhsScalar>::value && packet_traits<LhsScalar>::HasDiv && packet_traits<RhsScalar>::HasDiv,
+    Cost = scalar_div_cost<result_type,PacketAccess>::value
+  };
+};
+
+
+
+/** \internal
+  * \brief Template functor to compute the and of two booleans
+  *
+  * \sa class CwiseBinaryOp, ArrayBase::operator&&
+  */
+struct scalar_boolean_and_op {
+  EIGEN_EMPTY_STRUCT_CTOR(scalar_boolean_and_op)
+  EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE bool operator() (const bool& a, const bool& b) const { return a && b; }
+};
+template<> struct functor_traits<scalar_boolean_and_op> {
+  enum {
+    Cost = NumTraits<bool>::AddCost,
+    PacketAccess = false
+  };
+};
+
+/** \internal
+  * \brief Template functor to compute the or of two booleans
+  *
+  * \sa class CwiseBinaryOp, ArrayBase::operator||
+  */
+struct scalar_boolean_or_op {
+  EIGEN_EMPTY_STRUCT_CTOR(scalar_boolean_or_op)
+  EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE bool operator() (const bool& a, const bool& b) const { return a || b; }
+};
+template<> struct functor_traits<scalar_boolean_or_op> {
+  enum {
+    Cost = NumTraits<bool>::AddCost,
+    PacketAccess = false
+  };
+};
+
+/** \internal
+ * \brief Template functor to compute the xor of two booleans
+ *
+ * \sa class CwiseBinaryOp, ArrayBase::operator^
+ */
+struct scalar_boolean_xor_op {
+  EIGEN_EMPTY_STRUCT_CTOR(scalar_boolean_xor_op)
+  EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE bool operator() (const bool& a, const bool& b) const { return a ^ b; }
+};
+template<> struct functor_traits<scalar_boolean_xor_op> {
+  enum {
+    Cost = NumTraits<bool>::AddCost,
+    PacketAccess = false
+  };
+};
+
+
+
+//---------- binary functors bound to a constant, thus appearing as a unary functor ----------
+
+// The following two classes permits to turn any binary functor into a unary one with one argument bound to a constant value.
+// They are analogues to std::binder1st/binder2nd but with the following differences:
+//  - they are compatible with packetOp
+//  - they are portable across C++ versions (the std::binder* are deprecated in C++11)
+template<typename BinaryOp> struct bind1st_op : BinaryOp {
+
+  typedef typename BinaryOp::first_argument_type  first_argument_type;
+  typedef typename BinaryOp::second_argument_type second_argument_type;
+  typedef typename BinaryOp::result_type          result_type;
+
+  bind1st_op(const first_argument_type &val) : m_value(val) {}
+
+  EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE const result_type operator() (const second_argument_type& b) const { return BinaryOp::operator()(m_value,b); }
+
+  template<typename Packet>
+  EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE const Packet packetOp(const Packet& b) const
+  { return BinaryOp::packetOp(internal::pset1<Packet>(m_value), b); }
+
+  first_argument_type m_value;
+};
+template<typename BinaryOp> struct functor_traits<bind1st_op<BinaryOp> > : functor_traits<BinaryOp> {};
+
+
+template<typename BinaryOp> struct bind2nd_op : BinaryOp {
+
+  typedef typename BinaryOp::first_argument_type  first_argument_type;
+  typedef typename BinaryOp::second_argument_type second_argument_type;
+  typedef typename BinaryOp::result_type          result_type;
+
+  bind2nd_op(const second_argument_type &val) : m_value(val) {}
+
+  EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE const result_type operator() (const first_argument_type& a) const { return BinaryOp::operator()(a,m_value); }
+
+  template<typename Packet>
+  EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE const Packet packetOp(const Packet& a) const
+  { return BinaryOp::packetOp(a,internal::pset1<Packet>(m_value)); }
+
+  second_argument_type m_value;
+};
+template<typename BinaryOp> struct functor_traits<bind2nd_op<BinaryOp> > : functor_traits<BinaryOp> {};
+
+
+} // end namespace internal
+
+} // end namespace Eigen
+
+#endif // EIGEN_BINARY_FUNCTORS_H
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/functors/TernaryFunctors.h
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/functors/TernaryFunctors.h	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/functors/TernaryFunctors.h	(revision 3761)
@@ -0,0 +1,25 @@
+// This file is part of Eigen, a lightweight C++ template library
+// for linear algebra.
+//
+// Copyright (C) 2016 Eugene Brevdo <ebrevdo@gmail.com>
+//
+// This Source Code Form is subject to the terms of the Mozilla
+// Public License v. 2.0. If a copy of the MPL was not distributed
+// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
+
+#ifndef EIGEN_TERNARY_FUNCTORS_H
+#define EIGEN_TERNARY_FUNCTORS_H
+
+namespace Eigen {
+
+namespace internal {
+
+//---------- associative ternary functors ----------
+
+
+
+} // end namespace internal
+
+} // end namespace Eigen
+
+#endif // EIGEN_TERNARY_FUNCTORS_H
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/functors/NullaryFunctors.h
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/functors/NullaryFunctors.h	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/functors/NullaryFunctors.h	(revision 3761)
@@ -0,0 +1,188 @@
+// This file is part of Eigen, a lightweight C++ template library
+// for linear algebra.
+//
+// Copyright (C) 2008-2016 Gael Guennebaud <gael.guennebaud@inria.fr>
+//
+// This Source Code Form is subject to the terms of the Mozilla
+// Public License v. 2.0. If a copy of the MPL was not distributed
+// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
+
+#ifndef EIGEN_NULLARY_FUNCTORS_H
+#define EIGEN_NULLARY_FUNCTORS_H
+
+namespace Eigen {
+
+namespace internal {
+
+template<typename Scalar>
+struct scalar_constant_op {
+  EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE scalar_constant_op(const scalar_constant_op& other) : m_other(other.m_other) { }
+  EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE scalar_constant_op(const Scalar& other) : m_other(other) { }
+  EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE const Scalar operator() () const { return m_other; }
+  template<typename PacketType>
+  EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE const PacketType packetOp() const { return internal::pset1<PacketType>(m_other); }
+  const Scalar m_other;
+};
+template<typename Scalar>
+struct functor_traits<scalar_constant_op<Scalar> >
+{ enum { Cost = 0 /* as the constant value should be loaded in register only once for the whole expression */,
+         PacketAccess = packet_traits<Scalar>::Vectorizable, IsRepeatable = true }; };
+
+template<typename Scalar> struct scalar_identity_op {
+  EIGEN_EMPTY_STRUCT_CTOR(scalar_identity_op)
+  template<typename IndexType>
+  EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE const Scalar operator() (IndexType row, IndexType col) const { return row==col ? Scalar(1) : Scalar(0); }
+};
+template<typename Scalar>
+struct functor_traits<scalar_identity_op<Scalar> >
+{ enum { Cost = NumTraits<Scalar>::AddCost, PacketAccess = false, IsRepeatable = true }; };
+
+template <typename Scalar, typename Packet, bool IsInteger> struct linspaced_op_impl;
+
+template <typename Scalar, typename Packet>
+struct linspaced_op_impl<Scalar,Packet,/*IsInteger*/false>
+{
+  linspaced_op_impl(const Scalar& low, const Scalar& high, Index num_steps) :
+    m_low(low), m_high(high), m_size1(num_steps==1 ? 1 : num_steps-1), m_step(num_steps==1 ? Scalar() : (high-low)/Scalar(num_steps-1)),
+    m_flip(numext::abs(high)<numext::abs(low))
+  {}
+
+  template<typename IndexType>
+  EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE const Scalar operator() (IndexType i) const {
+    typedef typename NumTraits<Scalar>::Real RealScalar;
+    if(m_flip)
+      return (i==0)? m_low : (m_high - RealScalar(m_size1-i)*m_step);
+    else
+      return (i==m_size1)? m_high : (m_low + RealScalar(i)*m_step);
+  }
+
+  template<typename IndexType>
+  EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE const Packet packetOp(IndexType i) const
+  {
+    // Principle:
+    // [low, ..., low] + ( [step, ..., step] * ( [i, ..., i] + [0, ..., size] ) )
+    if(m_flip)
+    {
+      Packet pi = plset<Packet>(Scalar(i-m_size1));
+      Packet res = padd(pset1<Packet>(m_high), pmul(pset1<Packet>(m_step), pi));
+      if(i==0)
+        res = pinsertfirst(res, m_low);
+      return res;
+    }
+    else
+    {
+      Packet pi = plset<Packet>(Scalar(i));
+      Packet res = padd(pset1<Packet>(m_low), pmul(pset1<Packet>(m_step), pi));
+      if(i==m_size1-unpacket_traits<Packet>::size+1)
+        res = pinsertlast(res, m_high);
+      return res;
+    }
+  }
+
+  const Scalar m_low;
+  const Scalar m_high;
+  const Index m_size1;
+  const Scalar m_step;
+  const bool m_flip;
+};
+
+template <typename Scalar, typename Packet>
+struct linspaced_op_impl<Scalar,Packet,/*IsInteger*/true>
+{
+  linspaced_op_impl(const Scalar& low, const Scalar& high, Index num_steps) :
+    m_low(low),
+    m_multiplier((high-low)/convert_index<Scalar>(num_steps<=1 ? 1 : num_steps-1)),
+    m_divisor(convert_index<Scalar>((high>=low?num_steps:-num_steps)+(high-low))/((numext::abs(high-low)+1)==0?1:(numext::abs(high-low)+1))),
+    m_use_divisor(num_steps>1 && (numext::abs(high-low)+1)<num_steps)
+  {}
+
+  template<typename IndexType>
+  EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE
+  const Scalar operator() (IndexType i) const
+  {
+    if(m_use_divisor) return m_low + convert_index<Scalar>(i)/m_divisor;
+    else              return m_low + convert_index<Scalar>(i)*m_multiplier;
+  }
+
+  const Scalar m_low;
+  const Scalar m_multiplier;
+  const Scalar m_divisor;
+  const bool m_use_divisor;
+};
+
+// ----- Linspace functor ----------------------------------------------------------------
+
+// Forward declaration (we default to random access which does not really give
+// us a speed gain when using packet access but it allows to use the functor in
+// nested expressions).
+template <typename Scalar, typename PacketType> struct linspaced_op;
+template <typename Scalar, typename PacketType> struct functor_traits< linspaced_op<Scalar,PacketType> >
+{
+  enum
+  {
+    Cost = 1,
+    PacketAccess =   (!NumTraits<Scalar>::IsInteger) && packet_traits<Scalar>::HasSetLinear && packet_traits<Scalar>::HasBlend,
+                  /*&& ((!NumTraits<Scalar>::IsInteger) || packet_traits<Scalar>::HasDiv),*/ // <- vectorization for integer is currently disabled
+    IsRepeatable = true
+  };
+};
+template <typename Scalar, typename PacketType> struct linspaced_op
+{
+  linspaced_op(const Scalar& low, const Scalar& high, Index num_steps)
+    : impl((num_steps==1 ? high : low),high,num_steps)
+  {}
+
+  template<typename IndexType>
+  EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE const Scalar operator() (IndexType i) const { return impl(i); }
+
+  template<typename Packet,typename IndexType>
+  EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE const Packet packetOp(IndexType i) const { return impl.packetOp(i); }
+
+  // This proxy object handles the actual required temporaries and the different
+  // implementations (integer vs. floating point).
+  const linspaced_op_impl<Scalar,PacketType,NumTraits<Scalar>::IsInteger> impl;
+};
+
+// Linear access is automatically determined from the operator() prototypes available for the given functor.
+// If it exposes an operator()(i,j), then we assume the i and j coefficients are required independently
+// and linear access is not possible. In all other cases, linear access is enabled.
+// Users should not have to deal with this structure.
+template<typename Functor> struct functor_has_linear_access { enum { ret = !has_binary_operator<Functor>::value }; };
+
+// For unreliable compilers, let's specialize the has_*ary_operator
+// helpers so that at least built-in nullary functors work fine.
+#if !( (EIGEN_COMP_MSVC>1600) || (EIGEN_GNUC_AT_LEAST(4,8)) || (EIGEN_COMP_ICC>=1600))
+template<typename Scalar,typename IndexType>
+struct has_nullary_operator<scalar_constant_op<Scalar>,IndexType> { enum { value = 1}; };
+template<typename Scalar,typename IndexType>
+struct has_unary_operator<scalar_constant_op<Scalar>,IndexType> { enum { value = 0}; };
+template<typename Scalar,typename IndexType>
+struct has_binary_operator<scalar_constant_op<Scalar>,IndexType> { enum { value = 0}; };
+
+template<typename Scalar,typename IndexType>
+struct has_nullary_operator<scalar_identity_op<Scalar>,IndexType> { enum { value = 0}; };
+template<typename Scalar,typename IndexType>
+struct has_unary_operator<scalar_identity_op<Scalar>,IndexType> { enum { value = 0}; };
+template<typename Scalar,typename IndexType>
+struct has_binary_operator<scalar_identity_op<Scalar>,IndexType> { enum { value = 1}; };
+
+template<typename Scalar, typename PacketType,typename IndexType>
+struct has_nullary_operator<linspaced_op<Scalar,PacketType>,IndexType> { enum { value = 0}; };
+template<typename Scalar, typename PacketType,typename IndexType>
+struct has_unary_operator<linspaced_op<Scalar,PacketType>,IndexType> { enum { value = 1}; };
+template<typename Scalar, typename PacketType,typename IndexType>
+struct has_binary_operator<linspaced_op<Scalar,PacketType>,IndexType> { enum { value = 0}; };
+
+template<typename Scalar,typename IndexType>
+struct has_nullary_operator<scalar_random_op<Scalar>,IndexType> { enum { value = 1}; };
+template<typename Scalar,typename IndexType>
+struct has_unary_operator<scalar_random_op<Scalar>,IndexType> { enum { value = 0}; };
+template<typename Scalar,typename IndexType>
+struct has_binary_operator<scalar_random_op<Scalar>,IndexType> { enum { value = 0}; };
+#endif
+
+} // end namespace internal
+
+} // end namespace Eigen
+
+#endif // EIGEN_NULLARY_FUNCTORS_H
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/functors/AssignmentFunctors.h
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/functors/AssignmentFunctors.h	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/functors/AssignmentFunctors.h	(revision 3761)
@@ -0,0 +1,168 @@
+// This file is part of Eigen, a lightweight C++ template library
+// for linear algebra.
+//
+// Copyright (C) 2008-2010 Gael Guennebaud <gael.guennebaud@inria.fr>
+//
+// This Source Code Form is subject to the terms of the Mozilla
+// Public License v. 2.0. If a copy of the MPL was not distributed
+// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
+
+#ifndef EIGEN_ASSIGNMENT_FUNCTORS_H
+#define EIGEN_ASSIGNMENT_FUNCTORS_H
+
+namespace Eigen {
+
+namespace internal {
+  
+/** \internal
+  * \brief Template functor for scalar/packet assignment
+  *
+  */
+template<typename DstScalar,typename SrcScalar> struct assign_op {
+
+  EIGEN_EMPTY_STRUCT_CTOR(assign_op)
+  EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE void assignCoeff(DstScalar& a, const SrcScalar& b) const { a = b; }
+  
+  template<int Alignment, typename Packet>
+  EIGEN_STRONG_INLINE void assignPacket(DstScalar* a, const Packet& b) const
+  { internal::pstoret<DstScalar,Packet,Alignment>(a,b); }
+};
+
+// Empty overload for void type (used by PermutationMatrix)
+template<typename DstScalar> struct assign_op<DstScalar,void> {};
+
+template<typename DstScalar,typename SrcScalar>
+struct functor_traits<assign_op<DstScalar,SrcScalar> > {
+  enum {
+    Cost = NumTraits<DstScalar>::ReadCost,
+    PacketAccess = is_same<DstScalar,SrcScalar>::value && packet_traits<DstScalar>::Vectorizable && packet_traits<SrcScalar>::Vectorizable
+  };
+};
+
+/** \internal
+  * \brief Template functor for scalar/packet assignment with addition
+  *
+  */
+template<typename DstScalar,typename SrcScalar> struct add_assign_op {
+
+  EIGEN_EMPTY_STRUCT_CTOR(add_assign_op)
+  EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE void assignCoeff(DstScalar& a, const SrcScalar& b) const { a += b; }
+  
+  template<int Alignment, typename Packet>
+  EIGEN_STRONG_INLINE void assignPacket(DstScalar* a, const Packet& b) const
+  { internal::pstoret<DstScalar,Packet,Alignment>(a,internal::padd(internal::ploadt<Packet,Alignment>(a),b)); }
+};
+template<typename DstScalar,typename SrcScalar>
+struct functor_traits<add_assign_op<DstScalar,SrcScalar> > {
+  enum {
+    Cost = NumTraits<DstScalar>::ReadCost + NumTraits<DstScalar>::AddCost,
+    PacketAccess = is_same<DstScalar,SrcScalar>::value && packet_traits<DstScalar>::HasAdd
+  };
+};
+
+/** \internal
+  * \brief Template functor for scalar/packet assignment with subtraction
+  *
+  */
+template<typename DstScalar,typename SrcScalar> struct sub_assign_op {
+
+  EIGEN_EMPTY_STRUCT_CTOR(sub_assign_op)
+  EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE void assignCoeff(DstScalar& a, const SrcScalar& b) const { a -= b; }
+  
+  template<int Alignment, typename Packet>
+  EIGEN_STRONG_INLINE void assignPacket(DstScalar* a, const Packet& b) const
+  { internal::pstoret<DstScalar,Packet,Alignment>(a,internal::psub(internal::ploadt<Packet,Alignment>(a),b)); }
+};
+template<typename DstScalar,typename SrcScalar>
+struct functor_traits<sub_assign_op<DstScalar,SrcScalar> > {
+  enum {
+    Cost = NumTraits<DstScalar>::ReadCost + NumTraits<DstScalar>::AddCost,
+    PacketAccess = is_same<DstScalar,SrcScalar>::value && packet_traits<DstScalar>::HasSub
+  };
+};
+
+/** \internal
+  * \brief Template functor for scalar/packet assignment with multiplication
+  *
+  */
+template<typename DstScalar, typename SrcScalar=DstScalar>
+struct mul_assign_op {
+
+  EIGEN_EMPTY_STRUCT_CTOR(mul_assign_op)
+  EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE void assignCoeff(DstScalar& a, const SrcScalar& b) const { a *= b; }
+  
+  template<int Alignment, typename Packet>
+  EIGEN_STRONG_INLINE void assignPacket(DstScalar* a, const Packet& b) const
+  { internal::pstoret<DstScalar,Packet,Alignment>(a,internal::pmul(internal::ploadt<Packet,Alignment>(a),b)); }
+};
+template<typename DstScalar, typename SrcScalar>
+struct functor_traits<mul_assign_op<DstScalar,SrcScalar> > {
+  enum {
+    Cost = NumTraits<DstScalar>::ReadCost + NumTraits<DstScalar>::MulCost,
+    PacketAccess = is_same<DstScalar,SrcScalar>::value && packet_traits<DstScalar>::HasMul
+  };
+};
+
+/** \internal
+  * \brief Template functor for scalar/packet assignment with diviving
+  *
+  */
+template<typename DstScalar, typename SrcScalar=DstScalar> struct div_assign_op {
+
+  EIGEN_EMPTY_STRUCT_CTOR(div_assign_op)
+  EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE void assignCoeff(DstScalar& a, const SrcScalar& b) const { a /= b; }
+  
+  template<int Alignment, typename Packet>
+  EIGEN_STRONG_INLINE void assignPacket(DstScalar* a, const Packet& b) const
+  { internal::pstoret<DstScalar,Packet,Alignment>(a,internal::pdiv(internal::ploadt<Packet,Alignment>(a),b)); }
+};
+template<typename DstScalar, typename SrcScalar>
+struct functor_traits<div_assign_op<DstScalar,SrcScalar> > {
+  enum {
+    Cost = NumTraits<DstScalar>::ReadCost + NumTraits<DstScalar>::MulCost,
+    PacketAccess = is_same<DstScalar,SrcScalar>::value && packet_traits<DstScalar>::HasDiv
+  };
+};
+
+/** \internal
+  * \brief Template functor for scalar/packet assignment with swapping
+  *
+  * It works as follow. For a non-vectorized evaluation loop, we have:
+  *   for(i) func(A.coeffRef(i), B.coeff(i));
+  * where B is a SwapWrapper expression. The trick is to make SwapWrapper::coeff behaves like a non-const coeffRef.
+  * Actually, SwapWrapper might not even be needed since even if B is a plain expression, since it has to be writable
+  * B.coeff already returns a const reference to the underlying scalar value.
+  * 
+  * The case of a vectorized loop is more tricky:
+  *   for(i,j) func.assignPacket<A_Align>(&A.coeffRef(i,j), B.packet<B_Align>(i,j));
+  * Here, B must be a SwapWrapper whose packet function actually returns a proxy object holding a Scalar*,
+  * the actual alignment and Packet type.
+  *
+  */
+template<typename Scalar> struct swap_assign_op {
+
+  EIGEN_EMPTY_STRUCT_CTOR(swap_assign_op)
+  EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE void assignCoeff(Scalar& a, const Scalar& b) const
+  {
+#ifdef __CUDACC__
+    // FIXME is there some kind of cuda::swap?
+    Scalar t=b; const_cast<Scalar&>(b)=a; a=t;
+#else
+    using std::swap;
+    swap(a,const_cast<Scalar&>(b));
+#endif
+  }
+};
+template<typename Scalar>
+struct functor_traits<swap_assign_op<Scalar> > {
+  enum {
+    Cost = 3 * NumTraits<Scalar>::ReadCost,
+    PacketAccess = packet_traits<Scalar>::Vectorizable
+  };
+};
+
+} // namespace internal
+
+} // namespace Eigen
+
+#endif // EIGEN_ASSIGNMENT_FUNCTORS_H
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/Map.h
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/Map.h	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/Map.h	(revision 3761)
@@ -0,0 +1,171 @@
+// This file is part of Eigen, a lightweight C++ template library
+// for linear algebra.
+//
+// Copyright (C) 2007-2010 Benoit Jacob <jacob.benoit.1@gmail.com>
+// Copyright (C) 2008 Gael Guennebaud <gael.guennebaud@inria.fr>
+//
+// This Source Code Form is subject to the terms of the Mozilla
+// Public License v. 2.0. If a copy of the MPL was not distributed
+// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
+
+#ifndef EIGEN_MAP_H
+#define EIGEN_MAP_H
+
+namespace Eigen { 
+
+namespace internal {
+template<typename PlainObjectType, int MapOptions, typename StrideType>
+struct traits<Map<PlainObjectType, MapOptions, StrideType> >
+  : public traits<PlainObjectType>
+{
+  typedef traits<PlainObjectType> TraitsBase;
+  enum {
+    PlainObjectTypeInnerSize = ((traits<PlainObjectType>::Flags&RowMajorBit)==RowMajorBit)
+                             ? PlainObjectType::ColsAtCompileTime
+                             : PlainObjectType::RowsAtCompileTime,
+
+    InnerStrideAtCompileTime = StrideType::InnerStrideAtCompileTime == 0
+                             ? int(PlainObjectType::InnerStrideAtCompileTime)
+                             : int(StrideType::InnerStrideAtCompileTime),
+    OuterStrideAtCompileTime = StrideType::OuterStrideAtCompileTime == 0
+                             ? (InnerStrideAtCompileTime==Dynamic || PlainObjectTypeInnerSize==Dynamic
+                                ? Dynamic
+                                : int(InnerStrideAtCompileTime) * int(PlainObjectTypeInnerSize))
+                             : int(StrideType::OuterStrideAtCompileTime),
+    Alignment = int(MapOptions)&int(AlignedMask),
+    Flags0 = TraitsBase::Flags & (~NestByRefBit),
+    Flags = is_lvalue<PlainObjectType>::value ? int(Flags0) : (int(Flags0) & ~LvalueBit)
+  };
+private:
+  enum { Options }; // Expressions don't have Options
+};
+}
+
+/** \class Map
+  * \ingroup Core_Module
+  *
+  * \brief A matrix or vector expression mapping an existing array of data.
+  *
+  * \tparam PlainObjectType the equivalent matrix type of the mapped data
+  * \tparam MapOptions specifies the pointer alignment in bytes. It can be: \c #Aligned128, , \c #Aligned64, \c #Aligned32, \c #Aligned16, \c #Aligned8 or \c #Unaligned.
+  *                The default is \c #Unaligned.
+  * \tparam StrideType optionally specifies strides. By default, Map assumes the memory layout
+  *                   of an ordinary, contiguous array. This can be overridden by specifying strides.
+  *                   The type passed here must be a specialization of the Stride template, see examples below.
+  *
+  * This class represents a matrix or vector expression mapping an existing array of data.
+  * It can be used to let Eigen interface without any overhead with non-Eigen data structures,
+  * such as plain C arrays or structures from other libraries. By default, it assumes that the
+  * data is laid out contiguously in memory. You can however override this by explicitly specifying
+  * inner and outer strides.
+  *
+  * Here's an example of simply mapping a contiguous array as a \ref TopicStorageOrders "column-major" matrix:
+  * \include Map_simple.cpp
+  * Output: \verbinclude Map_simple.out
+  *
+  * If you need to map non-contiguous arrays, you can do so by specifying strides:
+  *
+  * Here's an example of mapping an array as a vector, specifying an inner stride, that is, the pointer
+  * increment between two consecutive coefficients. Here, we're specifying the inner stride as a compile-time
+  * fixed value.
+  * \include Map_inner_stride.cpp
+  * Output: \verbinclude Map_inner_stride.out
+  *
+  * Here's an example of mapping an array while specifying an outer stride. Here, since we're mapping
+  * as a column-major matrix, 'outer stride' means the pointer increment between two consecutive columns.
+  * Here, we're specifying the outer stride as a runtime parameter. Note that here \c OuterStride<> is
+  * a short version of \c OuterStride<Dynamic> because the default template parameter of OuterStride
+  * is  \c Dynamic
+  * \include Map_outer_stride.cpp
+  * Output: \verbinclude Map_outer_stride.out
+  *
+  * For more details and for an example of specifying both an inner and an outer stride, see class Stride.
+  *
+  * \b Tip: to change the array of data mapped by a Map object, you can use the C++
+  * placement new syntax:
+  *
+  * Example: \include Map_placement_new.cpp
+  * Output: \verbinclude Map_placement_new.out
+  *
+  * This class is the return type of PlainObjectBase::Map() but can also be used directly.
+  *
+  * \sa PlainObjectBase::Map(), \ref TopicStorageOrders
+  */
+template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
+  : public MapBase<Map<PlainObjectType, MapOptions, StrideType> >
+{
+  public:
+
+    typedef MapBase<Map> Base;
+    EIGEN_DENSE_PUBLIC_INTERFACE(Map)
+
+    typedef typename Base::PointerType PointerType;
+    typedef PointerType PointerArgType;
+    EIGEN_DEVICE_FUNC
+    inline PointerType cast_to_pointer_type(PointerArgType ptr) { return ptr; }
+
+    EIGEN_DEVICE_FUNC
+    inline Index innerStride() const
+    {
+      return StrideType::InnerStrideAtCompileTime != 0 ? m_stride.inner() : 1;
+    }
+
+    EIGEN_DEVICE_FUNC
+    inline Index outerStride() const
+    {
+      return int(StrideType::OuterStrideAtCompileTime) != 0 ? m_stride.outer()
+           : int(internal::traits<Map>::OuterStrideAtCompileTime) != Dynamic ? Index(internal::traits<Map>::OuterStrideAtCompileTime)
+           : IsVectorAtCompileTime ? (this->size() * innerStride())
+           : (int(Flags)&RowMajorBit) ? (this->cols() * innerStride())
+           : (this->rows() * innerStride());
+    }
+
+    /** Constructor in the fixed-size case.
+      *
+      * \param dataPtr pointer to the array to map
+      * \param stride optional Stride object, passing the strides.
+      */
+    EIGEN_DEVICE_FUNC
+    explicit inline Map(PointerArgType dataPtr, const StrideType& stride = StrideType())
+      : Base(cast_to_pointer_type(dataPtr)), m_stride(stride)
+    {
+      PlainObjectType::Base::_check_template_params();
+    }
+
+    /** Constructor in the dynamic-size vector case.
+      *
+      * \param dataPtr pointer to the array to map
+      * \param size the size of the vector expression
+      * \param stride optional Stride object, passing the strides.
+      */
+    EIGEN_DEVICE_FUNC
+    inline Map(PointerArgType dataPtr, Index size, const StrideType& stride = StrideType())
+      : Base(cast_to_pointer_type(dataPtr), size), m_stride(stride)
+    {
+      PlainObjectType::Base::_check_template_params();
+    }
+
+    /** Constructor in the dynamic-size matrix case.
+      *
+      * \param dataPtr pointer to the array to map
+      * \param rows the number of rows of the matrix expression
+      * \param cols the number of columns of the matrix expression
+      * \param stride optional Stride object, passing the strides.
+      */
+    EIGEN_DEVICE_FUNC
+    inline Map(PointerArgType dataPtr, Index rows, Index cols, const StrideType& stride = StrideType())
+      : Base(cast_to_pointer_type(dataPtr), rows, cols), m_stride(stride)
+    {
+      PlainObjectType::Base::_check_template_params();
+    }
+
+    EIGEN_INHERIT_ASSIGNMENT_OPERATORS(Map)
+
+  protected:
+    StrideType m_stride;
+};
+
+
+} // end namespace Eigen
+
+#endif // EIGEN_MAP_H
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h	(revision 3761)
@@ -0,0 +1,184 @@
+// This file is part of Eigen, a lightweight C++ template library
+// for linear algebra.
+//
+// Copyright (C) 2008-2014 Gael Guennebaud <gael.guennebaud@inria.fr>
+// Copyright (C) 2006-2008 Benoit Jacob <jacob.benoit.1@gmail.com>
+//
+// This Source Code Form is subject to the terms of the Mozilla
+// Public License v. 2.0. If a copy of the MPL was not distributed
+// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
+
+#ifndef EIGEN_CWISE_BINARY_OP_H
+#define EIGEN_CWISE_BINARY_OP_H
+
+namespace Eigen {
+
+namespace internal {
+template<typename BinaryOp, typename Lhs, typename Rhs>
+struct traits<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
+{
+  // we must not inherit from traits<Lhs> since it has
+  // the potential to cause problems with MSVC
+  typedef typename remove_all<Lhs>::type Ancestor;
+  typedef typename traits<Ancestor>::XprKind XprKind;
+  enum {
+    RowsAtCompileTime = traits<Ancestor>::RowsAtCompileTime,
+    ColsAtCompileTime = traits<Ancestor>::ColsAtCompileTime,
+    MaxRowsAtCompileTime = traits<Ancestor>::MaxRowsAtCompileTime,
+    MaxColsAtCompileTime = traits<Ancestor>::MaxColsAtCompileTime
+  };
+
+  // even though we require Lhs and Rhs to have the same scalar type (see CwiseBinaryOp constructor),
+  // we still want to handle the case when the result type is different.
+  typedef typename result_of<
+                     BinaryOp(
+                       const typename Lhs::Scalar&,
+                       const typename Rhs::Scalar&
+                     )
+                   >::type Scalar;
+  typedef typename cwise_promote_storage_type<typename traits<Lhs>::StorageKind,
+                                              typename traits<Rhs>::StorageKind,
+                                              BinaryOp>::ret StorageKind;
+  typedef typename promote_index_type<typename traits<Lhs>::StorageIndex,
+                                      typename traits<Rhs>::StorageIndex>::type StorageIndex;
+  typedef typename Lhs::Nested LhsNested;
+  typedef typename Rhs::Nested RhsNested;
+  typedef typename remove_reference<LhsNested>::type _LhsNested;
+  typedef typename remove_reference<RhsNested>::type _RhsNested;
+  enum {
+    Flags = cwise_promote_storage_order<typename traits<Lhs>::StorageKind,typename traits<Rhs>::StorageKind,_LhsNested::Flags & RowMajorBit,_RhsNested::Flags & RowMajorBit>::value
+  };
+};
+} // end namespace internal
+
+template<typename BinaryOp, typename Lhs, typename Rhs, typename StorageKind>
+class CwiseBinaryOpImpl;
+
+/** \class CwiseBinaryOp
+  * \ingroup Core_Module
+  *
+  * \brief Generic expression where a coefficient-wise binary operator is applied to two expressions
+  *
+  * \tparam BinaryOp template functor implementing the operator
+  * \tparam LhsType the type of the left-hand side
+  * \tparam RhsType the type of the right-hand side
+  *
+  * This class represents an expression  where a coefficient-wise binary operator is applied to two expressions.
+  * It is the return type of binary operators, by which we mean only those binary operators where
+  * both the left-hand side and the right-hand side are Eigen expressions.
+  * For example, the return type of matrix1+matrix2 is a CwiseBinaryOp.
+  *
+  * Most of the time, this is the only way that it is used, so you typically don't have to name
+  * CwiseBinaryOp types explicitly.
+  *
+  * \sa MatrixBase::binaryExpr(const MatrixBase<OtherDerived> &,const CustomBinaryOp &) const, class CwiseUnaryOp, class CwiseNullaryOp
+  */
+template<typename BinaryOp, typename LhsType, typename RhsType>
+class CwiseBinaryOp : 
+  public CwiseBinaryOpImpl<
+          BinaryOp, LhsType, RhsType,
+          typename internal::cwise_promote_storage_type<typename internal::traits<LhsType>::StorageKind,
+                                                        typename internal::traits<RhsType>::StorageKind,
+                                                        BinaryOp>::ret>,
+  internal::no_assignment_operator
+{
+  public:
+    
+    typedef typename internal::remove_all<BinaryOp>::type Functor;
+    typedef typename internal::remove_all<LhsType>::type Lhs;
+    typedef typename internal::remove_all<RhsType>::type Rhs;
+
+    typedef typename CwiseBinaryOpImpl<
+        BinaryOp, LhsType, RhsType,
+        typename internal::cwise_promote_storage_type<typename internal::traits<LhsType>::StorageKind,
+                                                      typename internal::traits<Rhs>::StorageKind,
+                                                      BinaryOp>::ret>::Base Base;
+    EIGEN_GENERIC_PUBLIC_INTERFACE(CwiseBinaryOp)
+
+    typedef typename internal::ref_selector<LhsType>::type LhsNested;
+    typedef typename internal::ref_selector<RhsType>::type RhsNested;
+    typedef typename internal::remove_reference<LhsNested>::type _LhsNested;
+    typedef typename internal::remove_reference<RhsNested>::type _RhsNested;
+
+    EIGEN_DEVICE_FUNC
+    EIGEN_STRONG_INLINE CwiseBinaryOp(const Lhs& aLhs, const Rhs& aRhs, const BinaryOp& func = BinaryOp())
+      : m_lhs(aLhs), m_rhs(aRhs), m_functor(func)
+    {
+      EIGEN_CHECK_BINARY_COMPATIBILIY(BinaryOp,typename Lhs::Scalar,typename Rhs::Scalar);
+      // require the sizes to match
+      EIGEN_STATIC_ASSERT_SAME_MATRIX_SIZE(Lhs, Rhs)
+      eigen_assert(aLhs.rows() == aRhs.rows() && aLhs.cols() == aRhs.cols());
+    }
+
+    EIGEN_DEVICE_FUNC
+    EIGEN_STRONG_INLINE Index rows() const {
+      // return the fixed size type if available to enable compile time optimizations
+      if (internal::traits<typename internal::remove_all<LhsNested>::type>::RowsAtCompileTime==Dynamic)
+        return m_rhs.rows();
+      else
+        return m_lhs.rows();
+    }
+    EIGEN_DEVICE_FUNC
+    EIGEN_STRONG_INLINE Index cols() const {
+      // return the fixed size type if available to enable compile time optimizations
+      if (internal::traits<typename internal::remove_all<LhsNested>::type>::ColsAtCompileTime==Dynamic)
+        return m_rhs.cols();
+      else
+        return m_lhs.cols();
+    }
+
+    /** \returns the left hand side nested expression */
+    EIGEN_DEVICE_FUNC
+    const _LhsNested& lhs() const { return m_lhs; }
+    /** \returns the right hand side nested expression */
+    EIGEN_DEVICE_FUNC
+    const _RhsNested& rhs() const { return m_rhs; }
+    /** \returns the functor representing the binary operation */
+    EIGEN_DEVICE_FUNC
+    const BinaryOp& functor() const { return m_functor; }
+
+  protected:
+    LhsNested m_lhs;
+    RhsNested m_rhs;
+    const BinaryOp m_functor;
+};
+
+// Generic API dispatcher
+template<typename BinaryOp, typename Lhs, typename Rhs, typename StorageKind>
+class CwiseBinaryOpImpl
+  : public internal::generic_xpr_base<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >::type
+{
+public:
+  typedef typename internal::generic_xpr_base<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >::type Base;
+};
+
+/** replaces \c *this by \c *this - \a other.
+  *
+  * \returns a reference to \c *this
+  */
+template<typename Derived>
+template<typename OtherDerived>
+EIGEN_STRONG_INLINE Derived &
+MatrixBase<Derived>::operator-=(const MatrixBase<OtherDerived> &other)
+{
+  call_assignment(derived(), other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
+  return derived();
+}
+
+/** replaces \c *this by \c *this + \a other.
+  *
+  * \returns a reference to \c *this
+  */
+template<typename Derived>
+template<typename OtherDerived>
+EIGEN_STRONG_INLINE Derived &
+MatrixBase<Derived>::operator+=(const MatrixBase<OtherDerived>& other)
+{
+  call_assignment(derived(), other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
+  return derived();
+}
+
+} // end namespace Eigen
+
+#endif // EIGEN_CWISE_BINARY_OP_H
+
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h	(revision 3761)
@@ -0,0 +1,455 @@
+// This file is part of Eigen, a lightweight C++ template library
+// for linear algebra.
+//
+// Copyright (C) 2006-2008 Benoit Jacob <jacob.benoit.1@gmail.com>
+// Copyright (C) 2008-2011 Gael Guennebaud <gael.guennebaud@inria.fr>
+//
+// This Source Code Form is subject to the terms of the Mozilla
+// Public License v. 2.0. If a copy of the MPL was not distributed
+// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
+
+#ifndef EIGEN_GENERAL_PRODUCT_H
+#define EIGEN_GENERAL_PRODUCT_H
+
+namespace Eigen {
+
+enum {
+  Large = 2,
+  Small = 3
+};
+
+namespace internal {
+
+template<int Rows, int Cols, int Depth> struct product_type_selector;
+
+template<int Size, int MaxSize> struct product_size_category
+{
+  enum {
+    #ifndef EIGEN_CUDA_ARCH
+    is_large = MaxSize == Dynamic ||
+               Size >= EIGEN_CACHEFRIENDLY_PRODUCT_THRESHOLD ||
+               (Size==Dynamic && MaxSize>=EIGEN_CACHEFRIENDLY_PRODUCT_THRESHOLD),
+    #else
+    is_large = 0,
+    #endif
+    value = is_large  ? Large
+          : Size == 1 ? 1
+                      : Small
+  };
+};
+
+template<typename Lhs, typename Rhs> struct product_type
+{
+  typedef typename remove_all<Lhs>::type _Lhs;
+  typedef typename remove_all<Rhs>::type _Rhs;
+  enum {
+    MaxRows = traits<_Lhs>::MaxRowsAtCompileTime,
+    Rows    = traits<_Lhs>::RowsAtCompileTime,
+    MaxCols = traits<_Rhs>::MaxColsAtCompileTime,
+    Cols    = traits<_Rhs>::ColsAtCompileTime,
+    MaxDepth = EIGEN_SIZE_MIN_PREFER_FIXED(traits<_Lhs>::MaxColsAtCompileTime,
+                                           traits<_Rhs>::MaxRowsAtCompileTime),
+    Depth = EIGEN_SIZE_MIN_PREFER_FIXED(traits<_Lhs>::ColsAtCompileTime,
+                                        traits<_Rhs>::RowsAtCompileTime)
+  };
+
+  // the splitting into different lines of code here, introducing the _select enums and the typedef below,
+  // is to work around an internal compiler error with gcc 4.1 and 4.2.
+private:
+  enum {
+    rows_select = product_size_category<Rows,MaxRows>::value,
+    cols_select = product_size_category<Cols,MaxCols>::value,
+    depth_select = product_size_category<Depth,MaxDepth>::value
+  };
+  typedef product_type_selector<rows_select, cols_select, depth_select> selector;
+
+public:
+  enum {
+    value = selector::ret,
+    ret = selector::ret
+  };
+#ifdef EIGEN_DEBUG_PRODUCT
+  static void debug()
+  {
+      EIGEN_DEBUG_VAR(Rows);
+      EIGEN_DEBUG_VAR(Cols);
+      EIGEN_DEBUG_VAR(Depth);
+      EIGEN_DEBUG_VAR(rows_select);
+      EIGEN_DEBUG_VAR(cols_select);
+      EIGEN_DEBUG_VAR(depth_select);
+      EIGEN_DEBUG_VAR(value);
+  }
+#endif
+};
+
+/* The following allows to select the kind of product at compile time
+ * based on the three dimensions of the product.
+ * This is a compile time mapping from {1,Small,Large}^3 -> {product types} */
+// FIXME I'm not sure the current mapping is the ideal one.
+template<int M, int N>  struct product_type_selector<M,N,1>              { enum { ret = OuterProduct }; };
+template<int M>         struct product_type_selector<M, 1, 1>            { enum { ret = LazyCoeffBasedProductMode }; };
+template<int N>         struct product_type_selector<1, N, 1>            { enum { ret = LazyCoeffBasedProductMode }; };
+template<int Depth>     struct product_type_selector<1,    1,    Depth>  { enum { ret = InnerProduct }; };
+template<>              struct product_type_selector<1,    1,    1>      { enum { ret = InnerProduct }; };
+template<>              struct product_type_selector<Small,1,    Small>  { enum { ret = CoeffBasedProductMode }; };
+template<>              struct product_type_selector<1,    Small,Small>  { enum { ret = CoeffBasedProductMode }; };
+template<>              struct product_type_selector<Small,Small,Small>  { enum { ret = CoeffBasedProductMode }; };
+template<>              struct product_type_selector<Small, Small, 1>    { enum { ret = LazyCoeffBasedProductMode }; };
+template<>              struct product_type_selector<Small, Large, 1>    { enum { ret = LazyCoeffBasedProductMode }; };
+template<>              struct product_type_selector<Large, Small, 1>    { enum { ret = LazyCoeffBasedProductMode }; };
+template<>              struct product_type_selector<1,    Large,Small>  { enum { ret = CoeffBasedProductMode }; };
+template<>              struct product_type_selector<1,    Large,Large>  { enum { ret = GemvProduct }; };
+template<>              struct product_type_selector<1,    Small,Large>  { enum { ret = CoeffBasedProductMode }; };
+template<>              struct product_type_selector<Large,1,    Small>  { enum { ret = CoeffBasedProductMode }; };
+template<>              struct product_type_selector<Large,1,    Large>  { enum { ret = GemvProduct }; };
+template<>              struct product_type_selector<Small,1,    Large>  { enum { ret = CoeffBasedProductMode }; };
+template<>              struct product_type_selector<Small,Small,Large>  { enum { ret = GemmProduct }; };
+template<>              struct product_type_selector<Large,Small,Large>  { enum { ret = GemmProduct }; };
+template<>              struct product_type_selector<Small,Large,Large>  { enum { ret = GemmProduct }; };
+template<>              struct product_type_selector<Large,Large,Large>  { enum { ret = GemmProduct }; };
+template<>              struct product_type_selector<Large,Small,Small>  { enum { ret = CoeffBasedProductMode }; };
+template<>              struct product_type_selector<Small,Large,Small>  { enum { ret = CoeffBasedProductMode }; };
+template<>              struct product_type_selector<Large,Large,Small>  { enum { ret = GemmProduct }; };
+
+} // end namespace internal
+
+/***********************************************************************
+*  Implementation of Inner Vector Vector Product
+***********************************************************************/
+
+// FIXME : maybe the "inner product" could return a Scalar
+// instead of a 1x1 matrix ??
+// Pro: more natural for the user
+// Cons: this could be a problem if in a meta unrolled algorithm a matrix-matrix
+// product ends up to a row-vector times col-vector product... To tackle this use
+// case, we could have a specialization for Block<MatrixType,1,1> with: operator=(Scalar x);
+
+/***********************************************************************
+*  Implementation of Outer Vector Vector Product
+***********************************************************************/
+
+/***********************************************************************
+*  Implementation of General Matrix Vector Product
+***********************************************************************/
+
+/*  According to the shape/flags of the matrix we have to distinghish 3 different cases:
+ *   1 - the matrix is col-major, BLAS compatible and M is large => call fast BLAS-like colmajor routine
+ *   2 - the matrix is row-major, BLAS compatible and N is large => call fast BLAS-like rowmajor routine
+ *   3 - all other cases are handled using a simple loop along the outer-storage direction.
+ *  Therefore we need a lower level meta selector.
+ *  Furthermore, if the matrix is the rhs, then the product has to be transposed.
+ */
+namespace internal {
+
+template<int Side, int StorageOrder, bool BlasCompatible>
+struct gemv_dense_selector;
+
+} // end namespace internal
+
+namespace internal {
+
+template<typename Scalar,int Size,int MaxSize,bool Cond> struct gemv_static_vector_if;
+
+template<typename Scalar,int Size,int MaxSize>
+struct gemv_static_vector_if<Scalar,Size,MaxSize,false>
+{
+  EIGEN_STRONG_INLINE  Scalar* data() { eigen_internal_assert(false && "should never be called"); return 0; }
+};
+
+template<typename Scalar,int Size>
+struct gemv_static_vector_if<Scalar,Size,Dynamic,true>
+{
+  EIGEN_STRONG_INLINE Scalar* data() { return 0; }
+};
+
+template<typename Scalar,int Size,int MaxSize>
+struct gemv_static_vector_if<Scalar,Size,MaxSize,true>
+{
+  enum {
+    ForceAlignment  = internal::packet_traits<Scalar>::Vectorizable,
+    PacketSize      = internal::packet_traits<Scalar>::size
+  };
+  #if EIGEN_MAX_STATIC_ALIGN_BYTES!=0
+  internal::plain_array<Scalar,EIGEN_SIZE_MIN_PREFER_FIXED(Size,MaxSize),0,EIGEN_PLAIN_ENUM_MIN(AlignedMax,PacketSize)> m_data;
+  EIGEN_STRONG_INLINE Scalar* data() { return m_data.array; }
+  #else
+  // Some architectures cannot align on the stack,
+  // => let's manually enforce alignment by allocating more data and return the address of the first aligned element.
+  internal::plain_array<Scalar,EIGEN_SIZE_MIN_PREFER_FIXED(Size,MaxSize)+(ForceAlignment?EIGEN_MAX_ALIGN_BYTES:0),0> m_data;
+  EIGEN_STRONG_INLINE Scalar* data() {
+    return ForceAlignment
+            ? reinterpret_cast<Scalar*>((internal::UIntPtr(m_data.array) & ~(std::size_t(EIGEN_MAX_ALIGN_BYTES-1))) + EIGEN_MAX_ALIGN_BYTES)
+            : m_data.array;
+  }
+  #endif
+};
+
+// The vector is on the left => transposition
+template<int StorageOrder, bool BlasCompatible>
+struct gemv_dense_selector<OnTheLeft,StorageOrder,BlasCompatible>
+{
+  template<typename Lhs, typename Rhs, typename Dest>
+  static void run(const Lhs &lhs, const Rhs &rhs, Dest& dest, const typename Dest::Scalar& alpha)
+  {
+    Transpose<Dest> destT(dest);
+    enum { OtherStorageOrder = StorageOrder == RowMajor ? ColMajor : RowMajor };
+    gemv_dense_selector<OnTheRight,OtherStorageOrder,BlasCompatible>
+      ::run(rhs.transpose(), lhs.transpose(), destT, alpha);
+  }
+};
+
+template<> struct gemv_dense_selector<OnTheRight,ColMajor,true>
+{
+  template<typename Lhs, typename Rhs, typename Dest>
+  static inline void run(const Lhs &lhs, const Rhs &rhs, Dest& dest, const typename Dest::Scalar& alpha)
+  {
+    typedef typename Lhs::Scalar   LhsScalar;
+    typedef typename Rhs::Scalar   RhsScalar;
+    typedef typename Dest::Scalar  ResScalar;
+    typedef typename Dest::RealScalar  RealScalar;
+    
+    typedef internal::blas_traits<Lhs> LhsBlasTraits;
+    typedef typename LhsBlasTraits::DirectLinearAccessType ActualLhsType;
+    typedef internal::blas_traits<Rhs> RhsBlasTraits;
+    typedef typename RhsBlasTraits::DirectLinearAccessType ActualRhsType;
+  
+    typedef Map<Matrix<ResScalar,Dynamic,1>, EIGEN_PLAIN_ENUM_MIN(AlignedMax,internal::packet_traits<ResScalar>::size)> MappedDest;
+
+    ActualLhsType actualLhs = LhsBlasTraits::extract(lhs);
+    ActualRhsType actualRhs = RhsBlasTraits::extract(rhs);
+
+    ResScalar actualAlpha = alpha * LhsBlasTraits::extractScalarFactor(lhs)
+                                  * RhsBlasTraits::extractScalarFactor(rhs);
+
+    // make sure Dest is a compile-time vector type (bug 1166)
+    typedef typename conditional<Dest::IsVectorAtCompileTime, Dest, typename Dest::ColXpr>::type ActualDest;
+
+    enum {
+      // FIXME find a way to allow an inner stride on the result if packet_traits<Scalar>::size==1
+      // on, the other hand it is good for the cache to pack the vector anyways...
+      EvalToDestAtCompileTime = (ActualDest::InnerStrideAtCompileTime==1),
+      ComplexByReal = (NumTraits<LhsScalar>::IsComplex) && (!NumTraits<RhsScalar>::IsComplex),
+      MightCannotUseDest = (!EvalToDestAtCompileTime) || ComplexByReal
+    };
+
+    typedef const_blas_data_mapper<LhsScalar,Index,ColMajor> LhsMapper;
+    typedef const_blas_data_mapper<RhsScalar,Index,RowMajor> RhsMapper;
+    RhsScalar compatibleAlpha = get_factor<ResScalar,RhsScalar>::run(actualAlpha);
+
+    if(!MightCannotUseDest)
+    {
+      // shortcut if we are sure to be able to use dest directly,
+      // this ease the compiler to generate cleaner and more optimzized code for most common cases
+      general_matrix_vector_product
+          <Index,LhsScalar,LhsMapper,ColMajor,LhsBlasTraits::NeedToConjugate,RhsScalar,RhsMapper,RhsBlasTraits::NeedToConjugate>::run(
+          actualLhs.rows(), actualLhs.cols(),
+          LhsMapper(actualLhs.data(), actualLhs.outerStride()),
+          RhsMapper(actualRhs.data(), actualRhs.innerStride()),
+          dest.data(), 1,
+          compatibleAlpha);
+    }
+    else
+    {
+      gemv_static_vector_if<ResScalar,ActualDest::SizeAtCompileTime,ActualDest::MaxSizeAtCompileTime,MightCannotUseDest> static_dest;
+
+      const bool alphaIsCompatible = (!ComplexByReal) || (numext::imag(actualAlpha)==RealScalar(0));
+      const bool evalToDest = EvalToDestAtCompileTime && alphaIsCompatible;
+
+      ei_declare_aligned_stack_constructed_variable(ResScalar,actualDestPtr,dest.size(),
+                                                    evalToDest ? dest.data() : static_dest.data());
+
+      if(!evalToDest)
+      {
+        #ifdef EIGEN_DENSE_STORAGE_CTOR_PLUGIN
+        Index size = dest.size();
+        EIGEN_DENSE_STORAGE_CTOR_PLUGIN
+        #endif
+        if(!alphaIsCompatible)
+        {
+          MappedDest(actualDestPtr, dest.size()).setZero();
+          compatibleAlpha = RhsScalar(1);
+        }
+        else
+          MappedDest(actualDestPtr, dest.size()) = dest;
+      }
+
+      general_matrix_vector_product
+          <Index,LhsScalar,LhsMapper,ColMajor,LhsBlasTraits::NeedToConjugate,RhsScalar,RhsMapper,RhsBlasTraits::NeedToConjugate>::run(
+          actualLhs.rows(), actualLhs.cols(),
+          LhsMapper(actualLhs.data(), actualLhs.outerStride()),
+          RhsMapper(actualRhs.data(), actualRhs.innerStride()),
+          actualDestPtr, 1,
+          compatibleAlpha);
+
+      if (!evalToDest)
+      {
+        if(!alphaIsCompatible)
+          dest.matrix() += actualAlpha * MappedDest(actualDestPtr, dest.size());
+        else
+          dest = MappedDest(actualDestPtr, dest.size());
+      }
+    }
+  }
+};
+
+template<> struct gemv_dense_selector<OnTheRight,RowMajor,true>
+{
+  template<typename Lhs, typename Rhs, typename Dest>
+  static void run(const Lhs &lhs, const Rhs &rhs, Dest& dest, const typename Dest::Scalar& alpha)
+  {
+    typedef typename Lhs::Scalar   LhsScalar;
+    typedef typename Rhs::Scalar   RhsScalar;
+    typedef typename Dest::Scalar  ResScalar;
+    
+    typedef internal::blas_traits<Lhs> LhsBlasTraits;
+    typedef typename LhsBlasTraits::DirectLinearAccessType ActualLhsType;
+    typedef internal::blas_traits<Rhs> RhsBlasTraits;
+    typedef typename RhsBlasTraits::DirectLinearAccessType ActualRhsType;
+    typedef typename internal::remove_all<ActualRhsType>::type ActualRhsTypeCleaned;
+
+    typename add_const<ActualLhsType>::type actualLhs = LhsBlasTraits::extract(lhs);
+    typename add_const<ActualRhsType>::type actualRhs = RhsBlasTraits::extract(rhs);
+
+    ResScalar actualAlpha = alpha * LhsBlasTraits::extractScalarFactor(lhs)
+                                  * RhsBlasTraits::extractScalarFactor(rhs);
+
+    enum {
+      // FIXME find a way to allow an inner stride on the result if packet_traits<Scalar>::size==1
+      // on, the other hand it is good for the cache to pack the vector anyways...
+      DirectlyUseRhs = ActualRhsTypeCleaned::InnerStrideAtCompileTime==1
+    };
+
+    gemv_static_vector_if<RhsScalar,ActualRhsTypeCleaned::SizeAtCompileTime,ActualRhsTypeCleaned::MaxSizeAtCompileTime,!DirectlyUseRhs> static_rhs;
+
+    ei_declare_aligned_stack_constructed_variable(RhsScalar,actualRhsPtr,actualRhs.size(),
+        DirectlyUseRhs ? const_cast<RhsScalar*>(actualRhs.data()) : static_rhs.data());
+
+    if(!DirectlyUseRhs)
+    {
+      #ifdef EIGEN_DENSE_STORAGE_CTOR_PLUGIN
+      Index size = actualRhs.size();
+      EIGEN_DENSE_STORAGE_CTOR_PLUGIN
+      #endif
+      Map<typename ActualRhsTypeCleaned::PlainObject>(actualRhsPtr, actualRhs.size()) = actualRhs;
+    }
+
+    typedef const_blas_data_mapper<LhsScalar,Index,RowMajor> LhsMapper;
+    typedef const_blas_data_mapper<RhsScalar,Index,ColMajor> RhsMapper;
+    general_matrix_vector_product
+        <Index,LhsScalar,LhsMapper,RowMajor,LhsBlasTraits::NeedToConjugate,RhsScalar,RhsMapper,RhsBlasTraits::NeedToConjugate>::run(
+        actualLhs.rows(), actualLhs.cols(),
+        LhsMapper(actualLhs.data(), actualLhs.outerStride()),
+        RhsMapper(actualRhsPtr, 1),
+        dest.data(), dest.col(0).innerStride(), //NOTE  if dest is not a vector at compile-time, then dest.innerStride() might be wrong. (bug 1166)
+        actualAlpha);
+  }
+};
+
+template<> struct gemv_dense_selector<OnTheRight,ColMajor,false>
+{
+  template<typename Lhs, typename Rhs, typename Dest>
+  static void run(const Lhs &lhs, const Rhs &rhs, Dest& dest, const typename Dest::Scalar& alpha)
+  {
+    EIGEN_STATIC_ASSERT((!nested_eval<Lhs,1>::Evaluate),EIGEN_INTERNAL_COMPILATION_ERROR_OR_YOU_MADE_A_PROGRAMMING_MISTAKE);
+    // TODO if rhs is large enough it might be beneficial to make sure that dest is sequentially stored in memory, otherwise use a temp
+    typename nested_eval<Rhs,1>::type actual_rhs(rhs);
+    const Index size = rhs.rows();
+    for(Index k=0; k<size; ++k)
+      dest += (alpha*actual_rhs.coeff(k)) * lhs.col(k);
+  }
+};
+
+template<> struct gemv_dense_selector<OnTheRight,RowMajor,false>
+{
+  template<typename Lhs, typename Rhs, typename Dest>
+  static void run(const Lhs &lhs, const Rhs &rhs, Dest& dest, const typename Dest::Scalar& alpha)
+  {
+    EIGEN_STATIC_ASSERT((!nested_eval<Lhs,1>::Evaluate),EIGEN_INTERNAL_COMPILATION_ERROR_OR_YOU_MADE_A_PROGRAMMING_MISTAKE);
+    typename nested_eval<Rhs,Lhs::RowsAtCompileTime>::type actual_rhs(rhs);
+    const Index rows = dest.rows();
+    for(Index i=0; i<rows; ++i)
+      dest.coeffRef(i) += alpha * (lhs.row(i).cwiseProduct(actual_rhs.transpose())).sum();
+  }
+};
+
+} // end namespace internal
+
+/***************************************************************************
+* Implementation of matrix base methods
+***************************************************************************/
+
+/** \returns the matrix product of \c *this and \a other.
+  *
+  * \note If instead of the matrix product you want the coefficient-wise product, see Cwise::operator*().
+  *
+  * \sa lazyProduct(), operator*=(const MatrixBase&), Cwise::operator*()
+  */
+template<typename Derived>
+template<typename OtherDerived>
+inline const Product<Derived, OtherDerived>
+MatrixBase<Derived>::operator*(const MatrixBase<OtherDerived> &other) const
+{
+  // A note regarding the function declaration: In MSVC, this function will sometimes
+  // not be inlined since DenseStorage is an unwindable object for dynamic
+  // matrices and product types are holding a member to store the result.
+  // Thus it does not help tagging this function with EIGEN_STRONG_INLINE.
+  enum {
+    ProductIsValid =  Derived::ColsAtCompileTime==Dynamic
+                   || OtherDerived::RowsAtCompileTime==Dynamic
+                   || int(Derived::ColsAtCompileTime)==int(OtherDerived::RowsAtCompileTime),
+    AreVectors = Derived::IsVectorAtCompileTime && OtherDerived::IsVectorAtCompileTime,
+    SameSizes = EIGEN_PREDICATE_SAME_MATRIX_SIZE(Derived,OtherDerived)
+  };
+  // note to the lost user:
+  //    * for a dot product use: v1.dot(v2)
+  //    * for a coeff-wise product use: v1.cwiseProduct(v2)
+  EIGEN_STATIC_ASSERT(ProductIsValid || !(AreVectors && SameSizes),
+    INVALID_VECTOR_VECTOR_PRODUCT__IF_YOU_WANTED_A_DOT_OR_COEFF_WISE_PRODUCT_YOU_MUST_USE_THE_EXPLICIT_FUNCTIONS)
+  EIGEN_STATIC_ASSERT(ProductIsValid || !(SameSizes && !AreVectors),
+    INVALID_MATRIX_PRODUCT__IF_YOU_WANTED_A_COEFF_WISE_PRODUCT_YOU_MUST_USE_THE_EXPLICIT_FUNCTION)
+  EIGEN_STATIC_ASSERT(ProductIsValid || SameSizes, INVALID_MATRIX_PRODUCT)
+#ifdef EIGEN_DEBUG_PRODUCT
+  internal::product_type<Derived,OtherDerived>::debug();
+#endif
+
+  return Product<Derived, OtherDerived>(derived(), other.derived());
+}
+
+/** \returns an expression of the matrix product of \c *this and \a other without implicit evaluation.
+  *
+  * The returned product will behave like any other expressions: the coefficients of the product will be
+  * computed once at a time as requested. This might be useful in some extremely rare cases when only
+  * a small and no coherent fraction of the result's coefficients have to be computed.
+  *
+  * \warning This version of the matrix product can be much much slower. So use it only if you know
+  * what you are doing and that you measured a true speed improvement.
+  *
+  * \sa operator*(const MatrixBase&)
+  */
+template<typename Derived>
+template<typename OtherDerived>
+const Product<Derived,OtherDerived,LazyProduct>
+MatrixBase<Derived>::lazyProduct(const MatrixBase<OtherDerived> &other) const
+{
+  enum {
+    ProductIsValid =  Derived::ColsAtCompileTime==Dynamic
+                   || OtherDerived::RowsAtCompileTime==Dynamic
+                   || int(Derived::ColsAtCompileTime)==int(OtherDerived::RowsAtCompileTime),
+    AreVectors = Derived::IsVectorAtCompileTime && OtherDerived::IsVectorAtCompileTime,
+    SameSizes = EIGEN_PREDICATE_SAME_MATRIX_SIZE(Derived,OtherDerived)
+  };
+  // note to the lost user:
+  //    * for a dot product use: v1.dot(v2)
+  //    * for a coeff-wise product use: v1.cwiseProduct(v2)
+  EIGEN_STATIC_ASSERT(ProductIsValid || !(AreVectors && SameSizes),
+    INVALID_VECTOR_VECTOR_PRODUCT__IF_YOU_WANTED_A_DOT_OR_COEFF_WISE_PRODUCT_YOU_MUST_USE_THE_EXPLICIT_FUNCTIONS)
+  EIGEN_STATIC_ASSERT(ProductIsValid || !(SameSizes && !AreVectors),
+    INVALID_MATRIX_PRODUCT__IF_YOU_WANTED_A_COEFF_WISE_PRODUCT_YOU_MUST_USE_THE_EXPLICIT_FUNCTION)
+  EIGEN_STATIC_ASSERT(ProductIsValid || SameSizes, INVALID_MATRIX_PRODUCT)
+
+  return Product<Derived,OtherDerived,LazyProduct>(derived(), other.derived());
+}
+
+} // end namespace Eigen
+
+#endif // EIGEN_PRODUCT_H
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/Select.h
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/Select.h	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/Select.h	(revision 3761)
@@ -0,0 +1,162 @@
+// This file is part of Eigen, a lightweight C++ template library
+// for linear algebra.
+//
+// Copyright (C) 2008-2010 Gael Guennebaud <gael.guennebaud@inria.fr>
+//
+// This Source Code Form is subject to the terms of the Mozilla
+// Public License v. 2.0. If a copy of the MPL was not distributed
+// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
+
+#ifndef EIGEN_SELECT_H
+#define EIGEN_SELECT_H
+
+namespace Eigen { 
+
+/** \class Select
+  * \ingroup Core_Module
+  *
+  * \brief Expression of a coefficient wise version of the C++ ternary operator ?:
+  *
+  * \param ConditionMatrixType the type of the \em condition expression which must be a boolean matrix
+  * \param ThenMatrixType the type of the \em then expression
+  * \param ElseMatrixType the type of the \em else expression
+  *
+  * This class represents an expression of a coefficient wise version of the C++ ternary operator ?:.
+  * It is the return type of DenseBase::select() and most of the time this is the only way it is used.
+  *
+  * \sa DenseBase::select(const DenseBase<ThenDerived>&, const DenseBase<ElseDerived>&) const
+  */
+
+namespace internal {
+template<typename ConditionMatrixType, typename ThenMatrixType, typename ElseMatrixType>
+struct traits<Select<ConditionMatrixType, ThenMatrixType, ElseMatrixType> >
+ : traits<ThenMatrixType>
+{
+  typedef typename traits<ThenMatrixType>::Scalar Scalar;
+  typedef Dense StorageKind;
+  typedef typename traits<ThenMatrixType>::XprKind XprKind;
+  typedef typename ConditionMatrixType::Nested ConditionMatrixNested;
+  typedef typename ThenMatrixType::Nested ThenMatrixNested;
+  typedef typename ElseMatrixType::Nested ElseMatrixNested;
+  enum {
+    RowsAtCompileTime = ConditionMatrixType::RowsAtCompileTime,
+    ColsAtCompileTime = ConditionMatrixType::ColsAtCompileTime,
+    MaxRowsAtCompileTime = ConditionMatrixType::MaxRowsAtCompileTime,
+    MaxColsAtCompileTime = ConditionMatrixType::MaxColsAtCompileTime,
+    Flags = (unsigned int)ThenMatrixType::Flags & ElseMatrixType::Flags & RowMajorBit
+  };
+};
+}
+
+template<typename ConditionMatrixType, typename ThenMatrixType, typename ElseMatrixType>
+class Select : public internal::dense_xpr_base< Select<ConditionMatrixType, ThenMatrixType, ElseMatrixType> >::type,
+               internal::no_assignment_operator
+{
+  public:
+
+    typedef typename internal::dense_xpr_base<Select>::type Base;
+    EIGEN_DENSE_PUBLIC_INTERFACE(Select)
+
+    inline EIGEN_DEVICE_FUNC
+    Select(const ConditionMatrixType& a_conditionMatrix,
+           const ThenMatrixType& a_thenMatrix,
+           const ElseMatrixType& a_elseMatrix)
+      : m_condition(a_conditionMatrix), m_then(a_thenMatrix), m_else(a_elseMatrix)
+    {
+      eigen_assert(m_condition.rows() == m_then.rows() && m_condition.rows() == m_else.rows());
+      eigen_assert(m_condition.cols() == m_then.cols() && m_condition.cols() == m_else.cols());
+    }
+
+    inline EIGEN_DEVICE_FUNC Index rows() const { return m_condition.rows(); }
+    inline EIGEN_DEVICE_FUNC Index cols() const { return m_condition.cols(); }
+
+    inline EIGEN_DEVICE_FUNC
+    const Scalar coeff(Index i, Index j) const
+    {
+      if (m_condition.coeff(i,j))
+        return m_then.coeff(i,j);
+      else
+        return m_else.coeff(i,j);
+    }
+
+    inline EIGEN_DEVICE_FUNC
+    const Scalar coeff(Index i) const
+    {
+      if (m_condition.coeff(i))
+        return m_then.coeff(i);
+      else
+        return m_else.coeff(i);
+    }
+
+    inline EIGEN_DEVICE_FUNC const ConditionMatrixType& conditionMatrix() const
+    {
+      return m_condition;
+    }
+
+    inline EIGEN_DEVICE_FUNC const ThenMatrixType& thenMatrix() const
+    {
+      return m_then;
+    }
+
+    inline EIGEN_DEVICE_FUNC const ElseMatrixType& elseMatrix() const
+    {
+      return m_else;
+    }
+
+  protected:
+    typename ConditionMatrixType::Nested m_condition;
+    typename ThenMatrixType::Nested m_then;
+    typename ElseMatrixType::Nested m_else;
+};
+
+
+/** \returns a matrix where each coefficient (i,j) is equal to \a thenMatrix(i,j)
+  * if \c *this(i,j), and \a elseMatrix(i,j) otherwise.
+  *
+  * Example: \include MatrixBase_select.cpp
+  * Output: \verbinclude MatrixBase_select.out
+  *
+  * \sa class Select
+  */
+template<typename Derived>
+template<typename ThenDerived,typename ElseDerived>
+inline const Select<Derived,ThenDerived,ElseDerived>
+DenseBase<Derived>::select(const DenseBase<ThenDerived>& thenMatrix,
+                            const DenseBase<ElseDerived>& elseMatrix) const
+{
+  return Select<Derived,ThenDerived,ElseDerived>(derived(), thenMatrix.derived(), elseMatrix.derived());
+}
+
+/** Version of DenseBase::select(const DenseBase&, const DenseBase&) with
+  * the \em else expression being a scalar value.
+  *
+  * \sa DenseBase::select(const DenseBase<ThenDerived>&, const DenseBase<ElseDerived>&) const, class Select
+  */
+template<typename Derived>
+template<typename ThenDerived>
+inline const Select<Derived,ThenDerived, typename ThenDerived::ConstantReturnType>
+DenseBase<Derived>::select(const DenseBase<ThenDerived>& thenMatrix,
+                           const typename ThenDerived::Scalar& elseScalar) const
+{
+  return Select<Derived,ThenDerived,typename ThenDerived::ConstantReturnType>(
+    derived(), thenMatrix.derived(), ThenDerived::Constant(rows(),cols(),elseScalar));
+}
+
+/** Version of DenseBase::select(const DenseBase&, const DenseBase&) with
+  * the \em then expression being a scalar value.
+  *
+  * \sa DenseBase::select(const DenseBase<ThenDerived>&, const DenseBase<ElseDerived>&) const, class Select
+  */
+template<typename Derived>
+template<typename ElseDerived>
+inline const Select<Derived, typename ElseDerived::ConstantReturnType, ElseDerived >
+DenseBase<Derived>::select(const typename ElseDerived::Scalar& thenScalar,
+                           const DenseBase<ElseDerived>& elseMatrix) const
+{
+  return Select<Derived,typename ElseDerived::ConstantReturnType,ElseDerived>(
+    derived(), ElseDerived::Constant(rows(),cols(),thenScalar), elseMatrix.derived());
+}
+
+} // end namespace Eigen
+
+#endif // EIGEN_SELECT_H
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/Product.h
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/Product.h	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/Product.h	(revision 3761)
@@ -0,0 +1,186 @@
+// This file is part of Eigen, a lightweight C++ template library
+// for linear algebra.
+//
+// Copyright (C) 2008-2011 Gael Guennebaud <gael.guennebaud@inria.fr>
+//
+// This Source Code Form is subject to the terms of the Mozilla
+// Public License v. 2.0. If a copy of the MPL was not distributed
+// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
+
+#ifndef EIGEN_PRODUCT_H
+#define EIGEN_PRODUCT_H
+
+namespace Eigen {
+
+template<typename Lhs, typename Rhs, int Option, typename StorageKind> class ProductImpl;
+
+namespace internal {
+
+template<typename Lhs, typename Rhs, int Option>
+struct traits<Product<Lhs, Rhs, Option> >
+{
+  typedef typename remove_all<Lhs>::type LhsCleaned;
+  typedef typename remove_all<Rhs>::type RhsCleaned;
+  typedef traits<LhsCleaned> LhsTraits;
+  typedef traits<RhsCleaned> RhsTraits;
+  
+  typedef MatrixXpr XprKind;
+  
+  typedef typename ScalarBinaryOpTraits<typename traits<LhsCleaned>::Scalar, typename traits<RhsCleaned>::Scalar>::ReturnType Scalar;
+  typedef typename product_promote_storage_type<typename LhsTraits::StorageKind,
+                                                typename RhsTraits::StorageKind,
+                                                internal::product_type<Lhs,Rhs>::ret>::ret StorageKind;
+  typedef typename promote_index_type<typename LhsTraits::StorageIndex,
+                                      typename RhsTraits::StorageIndex>::type StorageIndex;
+  
+  enum {
+    RowsAtCompileTime    = LhsTraits::RowsAtCompileTime,
+    ColsAtCompileTime    = RhsTraits::ColsAtCompileTime,
+    MaxRowsAtCompileTime = LhsTraits::MaxRowsAtCompileTime,
+    MaxColsAtCompileTime = RhsTraits::MaxColsAtCompileTime,
+    
+    // FIXME: only needed by GeneralMatrixMatrixTriangular
+    InnerSize = EIGEN_SIZE_MIN_PREFER_FIXED(LhsTraits::ColsAtCompileTime, RhsTraits::RowsAtCompileTime),
+    
+    // The storage order is somewhat arbitrary here. The correct one will be determined through the evaluator.
+    Flags = (MaxRowsAtCompileTime==1 && MaxColsAtCompileTime!=1) ? RowMajorBit
+          : (MaxColsAtCompileTime==1 && MaxRowsAtCompileTime!=1) ? 0
+          : (   ((LhsTraits::Flags&NoPreferredStorageOrderBit) && (RhsTraits::Flags&RowMajorBit))
+             || ((RhsTraits::Flags&NoPreferredStorageOrderBit) && (LhsTraits::Flags&RowMajorBit)) ) ? RowMajorBit
+          : NoPreferredStorageOrderBit
+  };
+};
+
+} // end namespace internal
+
+/** \class Product
+  * \ingroup Core_Module
+  *
+  * \brief Expression of the product of two arbitrary matrices or vectors
+  *
+  * \tparam _Lhs the type of the left-hand side expression
+  * \tparam _Rhs the type of the right-hand side expression
+  *
+  * This class represents an expression of the product of two arbitrary matrices.
+  *
+  * The other template parameters are:
+  * \tparam Option     can be DefaultProduct, AliasFreeProduct, or LazyProduct
+  *
+  */
+template<typename _Lhs, typename _Rhs, int Option>
+class Product : public ProductImpl<_Lhs,_Rhs,Option,
+                                   typename internal::product_promote_storage_type<typename internal::traits<_Lhs>::StorageKind,
+                                                                                   typename internal::traits<_Rhs>::StorageKind,
+                                                                                   internal::product_type<_Lhs,_Rhs>::ret>::ret>
+{
+  public:
+    
+    typedef _Lhs Lhs;
+    typedef _Rhs Rhs;
+    
+    typedef typename ProductImpl<
+        Lhs, Rhs, Option,
+        typename internal::product_promote_storage_type<typename internal::traits<Lhs>::StorageKind,
+                                                        typename internal::traits<Rhs>::StorageKind,
+                                                        internal::product_type<Lhs,Rhs>::ret>::ret>::Base Base;
+    EIGEN_GENERIC_PUBLIC_INTERFACE(Product)
+
+    typedef typename internal::ref_selector<Lhs>::type LhsNested;
+    typedef typename internal::ref_selector<Rhs>::type RhsNested;
+    typedef typename internal::remove_all<LhsNested>::type LhsNestedCleaned;
+    typedef typename internal::remove_all<RhsNested>::type RhsNestedCleaned;
+
+    EIGEN_DEVICE_FUNC Product(const Lhs& lhs, const Rhs& rhs) : m_lhs(lhs), m_rhs(rhs)
+    {
+      eigen_assert(lhs.cols() == rhs.rows()
+        && "invalid matrix product"
+        && "if you wanted a coeff-wise or a dot product use the respective explicit functions");
+    }
+
+    EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE Index rows() const { return m_lhs.rows(); }
+    EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE Index cols() const { return m_rhs.cols(); }
+
+    EIGEN_DEVICE_FUNC const LhsNestedCleaned& lhs() const { return m_lhs; }
+    EIGEN_DEVICE_FUNC const RhsNestedCleaned& rhs() const { return m_rhs; }
+
+  protected:
+
+    LhsNested m_lhs;
+    RhsNested m_rhs;
+};
+
+namespace internal {
+  
+template<typename Lhs, typename Rhs, int Option, int ProductTag = internal::product_type<Lhs,Rhs>::ret>
+class dense_product_base
+ : public internal::dense_xpr_base<Product<Lhs,Rhs,Option> >::type
+{};
+
+/** Convertion to scalar for inner-products */
+template<typename Lhs, typename Rhs, int Option>
+class dense_product_base<Lhs, Rhs, Option, InnerProduct>
+ : public internal::dense_xpr_base<Product<Lhs,Rhs,Option> >::type
+{
+  typedef Product<Lhs,Rhs,Option> ProductXpr;
+  typedef typename internal::dense_xpr_base<ProductXpr>::type Base;
+public:
+  using Base::derived;
+  typedef typename Base::Scalar Scalar;
+  
+  EIGEN_STRONG_INLINE operator const Scalar() const
+  {
+    return internal::evaluator<ProductXpr>(derived()).coeff(0,0);
+  }
+};
+
+} // namespace internal
+
+// Generic API dispatcher
+template<typename Lhs, typename Rhs, int Option, typename StorageKind>
+class ProductImpl : public internal::generic_xpr_base<Product<Lhs,Rhs,Option>, MatrixXpr, StorageKind>::type
+{
+  public:
+    typedef typename internal::generic_xpr_base<Product<Lhs,Rhs,Option>, MatrixXpr, StorageKind>::type Base;
+};
+
+template<typename Lhs, typename Rhs, int Option>
+class ProductImpl<Lhs,Rhs,Option,Dense>
+  : public internal::dense_product_base<Lhs,Rhs,Option>
+{
+    typedef Product<Lhs, Rhs, Option> Derived;
+    
+  public:
+    
+    typedef typename internal::dense_product_base<Lhs, Rhs, Option> Base;
+    EIGEN_DENSE_PUBLIC_INTERFACE(Derived)
+  protected:
+    enum {
+      IsOneByOne = (RowsAtCompileTime == 1 || RowsAtCompileTime == Dynamic) && 
+                   (ColsAtCompileTime == 1 || ColsAtCompileTime == Dynamic),
+      EnableCoeff = IsOneByOne || Option==LazyProduct
+    };
+    
+  public:
+  
+    EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE Scalar coeff(Index row, Index col) const
+    {
+      EIGEN_STATIC_ASSERT(EnableCoeff, THIS_METHOD_IS_ONLY_FOR_INNER_OR_LAZY_PRODUCTS);
+      eigen_assert( (Option==LazyProduct) || (this->rows() == 1 && this->cols() == 1) );
+      
+      return internal::evaluator<Derived>(derived()).coeff(row,col);
+    }
+
+    EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE Scalar coeff(Index i) const
+    {
+      EIGEN_STATIC_ASSERT(EnableCoeff, THIS_METHOD_IS_ONLY_FOR_INNER_OR_LAZY_PRODUCTS);
+      eigen_assert( (Option==LazyProduct) || (this->rows() == 1 && this->cols() == 1) );
+      
+      return internal::evaluator<Derived>(derived()).coeff(i);
+    }
+    
+  
+};
+
+} // end namespace Eigen
+
+#endif // EIGEN_PRODUCT_H
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/EigenBase.h
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/EigenBase.h	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/EigenBase.h	(revision 3761)
@@ -0,0 +1,159 @@
+// This file is part of Eigen, a lightweight C++ template library
+// for linear algebra.
+//
+// Copyright (C) 2009 Benoit Jacob <jacob.benoit.1@gmail.com>
+// Copyright (C) 2009 Gael Guennebaud <gael.guennebaud@inria.fr>
+//
+// This Source Code Form is subject to the terms of the Mozilla
+// Public License v. 2.0. If a copy of the MPL was not distributed
+// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
+
+#ifndef EIGEN_EIGENBASE_H
+#define EIGEN_EIGENBASE_H
+
+namespace Eigen {
+
+/** \class EigenBase
+  * \ingroup Core_Module
+  * 
+  * Common base class for all classes T such that MatrixBase has an operator=(T) and a constructor MatrixBase(T).
+  *
+  * In other words, an EigenBase object is an object that can be copied into a MatrixBase.
+  *
+  * Besides MatrixBase-derived classes, this also includes special matrix classes such as diagonal matrices, etc.
+  *
+  * Notice that this class is trivial, it is only used to disambiguate overloaded functions.
+  *
+  * \sa \blank \ref TopicClassHierarchy
+  */
+template<typename Derived> struct EigenBase
+{
+//   typedef typename internal::plain_matrix_type<Derived>::type PlainObject;
+  
+  /** \brief The interface type of indices
+    * \details To change this, \c \#define the preprocessor symbol \c EIGEN_DEFAULT_DENSE_INDEX_TYPE.
+    * \deprecated Since Eigen 3.3, its usage is deprecated. Use Eigen::Index instead.
+    * \sa StorageIndex, \ref TopicPreprocessorDirectives.
+    */
+  typedef Eigen::Index Index;
+
+  // FIXME is it needed?
+  typedef typename internal::traits<Derived>::StorageKind StorageKind;
+
+  /** \returns a reference to the derived object */
+  EIGEN_DEVICE_FUNC
+  Derived& derived() { return *static_cast<Derived*>(this); }
+  /** \returns a const reference to the derived object */
+  EIGEN_DEVICE_FUNC
+  const Derived& derived() const { return *static_cast<const Derived*>(this); }
+
+  EIGEN_DEVICE_FUNC
+  inline Derived& const_cast_derived() const
+  { return *static_cast<Derived*>(const_cast<EigenBase*>(this)); }
+  EIGEN_DEVICE_FUNC
+  inline const Derived& const_derived() const
+  { return *static_cast<const Derived*>(this); }
+
+  /** \returns the number of rows. \sa cols(), RowsAtCompileTime */
+  EIGEN_DEVICE_FUNC
+  inline Index rows() const { return derived().rows(); }
+  /** \returns the number of columns. \sa rows(), ColsAtCompileTime*/
+  EIGEN_DEVICE_FUNC
+  inline Index cols() const { return derived().cols(); }
+  /** \returns the number of coefficients, which is rows()*cols().
+    * \sa rows(), cols(), SizeAtCompileTime. */
+  EIGEN_DEVICE_FUNC
+  inline Index size() const { return rows() * cols(); }
+
+  /** \internal Don't use it, but do the equivalent: \code dst = *this; \endcode */
+  template<typename Dest>
+  EIGEN_DEVICE_FUNC
+  inline void evalTo(Dest& dst) const
+  { derived().evalTo(dst); }
+
+  /** \internal Don't use it, but do the equivalent: \code dst += *this; \endcode */
+  template<typename Dest>
+  EIGEN_DEVICE_FUNC
+  inline void addTo(Dest& dst) const
+  {
+    // This is the default implementation,
+    // derived class can reimplement it in a more optimized way.
+    typename Dest::PlainObject res(rows(),cols());
+    evalTo(res);
+    dst += res;
+  }
+
+  /** \internal Don't use it, but do the equivalent: \code dst -= *this; \endcode */
+  template<typename Dest>
+  EIGEN_DEVICE_FUNC
+  inline void subTo(Dest& dst) const
+  {
+    // This is the default implementation,
+    // derived class can reimplement it in a more optimized way.
+    typename Dest::PlainObject res(rows(),cols());
+    evalTo(res);
+    dst -= res;
+  }
+
+  /** \internal Don't use it, but do the equivalent: \code dst.applyOnTheRight(*this); \endcode */
+  template<typename Dest>
+  EIGEN_DEVICE_FUNC inline void applyThisOnTheRight(Dest& dst) const
+  {
+    // This is the default implementation,
+    // derived class can reimplement it in a more optimized way.
+    dst = dst * this->derived();
+  }
+
+  /** \internal Don't use it, but do the equivalent: \code dst.applyOnTheLeft(*this); \endcode */
+  template<typename Dest>
+  EIGEN_DEVICE_FUNC inline void applyThisOnTheLeft(Dest& dst) const
+  {
+    // This is the default implementation,
+    // derived class can reimplement it in a more optimized way.
+    dst = this->derived() * dst;
+  }
+
+};
+
+/***************************************************************************
+* Implementation of matrix base methods
+***************************************************************************/
+
+/** \brief Copies the generic expression \a other into *this.
+  *
+  * \details The expression must provide a (templated) evalTo(Derived& dst) const
+  * function which does the actual job. In practice, this allows any user to write
+  * its own special matrix without having to modify MatrixBase
+  *
+  * \returns a reference to *this.
+  */
+template<typename Derived>
+template<typename OtherDerived>
+EIGEN_DEVICE_FUNC
+Derived& DenseBase<Derived>::operator=(const EigenBase<OtherDerived> &other)
+{
+  call_assignment(derived(), other.derived());
+  return derived();
+}
+
+template<typename Derived>
+template<typename OtherDerived>
+EIGEN_DEVICE_FUNC
+Derived& DenseBase<Derived>::operator+=(const EigenBase<OtherDerived> &other)
+{
+  call_assignment(derived(), other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
+  return derived();
+}
+
+template<typename Derived>
+template<typename OtherDerived>
+EIGEN_DEVICE_FUNC
+Derived& DenseBase<Derived>::operator-=(const EigenBase<OtherDerived> &other)
+{
+  call_assignment(derived(), other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
+  return derived();
+}
+
+} // end namespace Eigen
+
+#endif // EIGEN_EIGENBASE_H
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h	(revision 3761)
@@ -0,0 +1,130 @@
+// This file is part of Eigen, a lightweight C++ template library
+// for linear algebra.
+//
+// Copyright (C) 2009-2010 Gael Guennebaud <gael.guennebaud@inria.fr>
+//
+// This Source Code Form is subject to the terms of the Mozilla
+// Public License v. 2.0. If a copy of the MPL was not distributed
+// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
+
+#ifndef EIGEN_CWISE_UNARY_VIEW_H
+#define EIGEN_CWISE_UNARY_VIEW_H
+
+namespace Eigen {
+
+namespace internal {
+template<typename ViewOp, typename MatrixType>
+struct traits<CwiseUnaryView<ViewOp, MatrixType> >
+ : traits<MatrixType>
+{
+  typedef typename result_of<
+                     ViewOp(const typename traits<MatrixType>::Scalar&)
+                   >::type Scalar;
+  typedef typename MatrixType::Nested MatrixTypeNested;
+  typedef typename remove_all<MatrixTypeNested>::type _MatrixTypeNested;
+  enum {
+    FlagsLvalueBit = is_lvalue<MatrixType>::value ? LvalueBit : 0,
+    Flags = traits<_MatrixTypeNested>::Flags & (RowMajorBit | FlagsLvalueBit | DirectAccessBit), // FIXME DirectAccessBit should not be handled by expressions
+    MatrixTypeInnerStride =  inner_stride_at_compile_time<MatrixType>::ret,
+    // need to cast the sizeof's from size_t to int explicitly, otherwise:
+    // "error: no integral type can represent all of the enumerator values
+    InnerStrideAtCompileTime = MatrixTypeInnerStride == Dynamic
+                             ? int(Dynamic)
+                             : int(MatrixTypeInnerStride) * int(sizeof(typename traits<MatrixType>::Scalar) / sizeof(Scalar)),
+    OuterStrideAtCompileTime = outer_stride_at_compile_time<MatrixType>::ret == Dynamic
+                             ? int(Dynamic)
+                             : outer_stride_at_compile_time<MatrixType>::ret * int(sizeof(typename traits<MatrixType>::Scalar) / sizeof(Scalar))
+  };
+};
+}
+
+template<typename ViewOp, typename MatrixType, typename StorageKind>
+class CwiseUnaryViewImpl;
+
+/** \class CwiseUnaryView
+  * \ingroup Core_Module
+  *
+  * \brief Generic lvalue expression of a coefficient-wise unary operator of a matrix or a vector
+  *
+  * \tparam ViewOp template functor implementing the view
+  * \tparam MatrixType the type of the matrix we are applying the unary operator
+  *
+  * This class represents a lvalue expression of a generic unary view operator of a matrix or a vector.
+  * It is the return type of real() and imag(), and most of the time this is the only way it is used.
+  *
+  * \sa MatrixBase::unaryViewExpr(const CustomUnaryOp &) const, class CwiseUnaryOp
+  */
+template<typename ViewOp, typename MatrixType>
+class CwiseUnaryView : public CwiseUnaryViewImpl<ViewOp, MatrixType, typename internal::traits<MatrixType>::StorageKind>
+{
+  public:
+
+    typedef typename CwiseUnaryViewImpl<ViewOp, MatrixType,typename internal::traits<MatrixType>::StorageKind>::Base Base;
+    EIGEN_GENERIC_PUBLIC_INTERFACE(CwiseUnaryView)
+    typedef typename internal::ref_selector<MatrixType>::non_const_type MatrixTypeNested;
+    typedef typename internal::remove_all<MatrixType>::type NestedExpression;
+
+    explicit inline CwiseUnaryView(MatrixType& mat, const ViewOp& func = ViewOp())
+      : m_matrix(mat), m_functor(func) {}
+
+    EIGEN_INHERIT_ASSIGNMENT_OPERATORS(CwiseUnaryView)
+
+    EIGEN_STRONG_INLINE Index rows() const { return m_matrix.rows(); }
+    EIGEN_STRONG_INLINE Index cols() const { return m_matrix.cols(); }
+
+    /** \returns the functor representing unary operation */
+    const ViewOp& functor() const { return m_functor; }
+
+    /** \returns the nested expression */
+    const typename internal::remove_all<MatrixTypeNested>::type&
+    nestedExpression() const { return m_matrix; }
+
+    /** \returns the nested expression */
+    typename internal::remove_reference<MatrixTypeNested>::type&
+    nestedExpression() { return m_matrix.const_cast_derived(); }
+
+  protected:
+    MatrixTypeNested m_matrix;
+    ViewOp m_functor;
+};
+
+// Generic API dispatcher
+template<typename ViewOp, typename XprType, typename StorageKind>
+class CwiseUnaryViewImpl
+  : public internal::generic_xpr_base<CwiseUnaryView<ViewOp, XprType> >::type
+{
+public:
+  typedef typename internal::generic_xpr_base<CwiseUnaryView<ViewOp, XprType> >::type Base;
+};
+
+template<typename ViewOp, typename MatrixType>
+class CwiseUnaryViewImpl<ViewOp,MatrixType,Dense>
+  : public internal::dense_xpr_base< CwiseUnaryView<ViewOp, MatrixType> >::type
+{
+  public:
+
+    typedef CwiseUnaryView<ViewOp, MatrixType> Derived;
+    typedef typename internal::dense_xpr_base< CwiseUnaryView<ViewOp, MatrixType> >::type Base;
+
+    EIGEN_DENSE_PUBLIC_INTERFACE(Derived)
+    EIGEN_INHERIT_ASSIGNMENT_OPERATORS(CwiseUnaryViewImpl)
+    
+    EIGEN_DEVICE_FUNC inline Scalar* data() { return &(this->coeffRef(0)); }
+    EIGEN_DEVICE_FUNC inline const Scalar* data() const { return &(this->coeff(0)); }
+
+    EIGEN_DEVICE_FUNC inline Index innerStride() const
+    {
+      return derived().nestedExpression().innerStride() * sizeof(typename internal::traits<MatrixType>::Scalar) / sizeof(Scalar);
+    }
+
+    EIGEN_DEVICE_FUNC inline Index outerStride() const
+    {
+      return derived().nestedExpression().outerStride() * sizeof(typename internal::traits<MatrixType>::Scalar) / sizeof(Scalar);
+    }
+  protected:
+    EIGEN_DEFAULT_EMPTY_CONSTRUCTOR_AND_DESTRUCTOR(CwiseUnaryViewImpl)
+};
+
+} // end namespace Eigen
+
+#endif // EIGEN_CWISE_UNARY_VIEW_H
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/Fuzzy.h
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/Fuzzy.h	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/Fuzzy.h	(revision 3761)
@@ -0,0 +1,155 @@
+// This file is part of Eigen, a lightweight C++ template library
+// for linear algebra.
+//
+// Copyright (C) 2006-2008 Benoit Jacob <jacob.benoit.1@gmail.com>
+// Copyright (C) 2008 Gael Guennebaud <gael.guennebaud@inria.fr>
+//
+// This Source Code Form is subject to the terms of the Mozilla
+// Public License v. 2.0. If a copy of the MPL was not distributed
+// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
+
+#ifndef EIGEN_FUZZY_H
+#define EIGEN_FUZZY_H
+
+namespace Eigen { 
+
+namespace internal
+{
+
+template<typename Derived, typename OtherDerived, bool is_integer = NumTraits<typename Derived::Scalar>::IsInteger>
+struct isApprox_selector
+{
+  EIGEN_DEVICE_FUNC
+  static bool run(const Derived& x, const OtherDerived& y, const typename Derived::RealScalar& prec)
+  {
+    typename internal::nested_eval<Derived,2>::type nested(x);
+    typename internal::nested_eval<OtherDerived,2>::type otherNested(y);
+    return (nested - otherNested).cwiseAbs2().sum() <= prec * prec * numext::mini(nested.cwiseAbs2().sum(), otherNested.cwiseAbs2().sum());
+  }
+};
+
+template<typename Derived, typename OtherDerived>
+struct isApprox_selector<Derived, OtherDerived, true>
+{
+  EIGEN_DEVICE_FUNC
+  static bool run(const Derived& x, const OtherDerived& y, const typename Derived::RealScalar&)
+  {
+    return x.matrix() == y.matrix();
+  }
+};
+
+template<typename Derived, typename OtherDerived, bool is_integer = NumTraits<typename Derived::Scalar>::IsInteger>
+struct isMuchSmallerThan_object_selector
+{
+  EIGEN_DEVICE_FUNC
+  static bool run(const Derived& x, const OtherDerived& y, const typename Derived::RealScalar& prec)
+  {
+    return x.cwiseAbs2().sum() <= numext::abs2(prec) * y.cwiseAbs2().sum();
+  }
+};
+
+template<typename Derived, typename OtherDerived>
+struct isMuchSmallerThan_object_selector<Derived, OtherDerived, true>
+{
+  EIGEN_DEVICE_FUNC
+  static bool run(const Derived& x, const OtherDerived&, const typename Derived::RealScalar&)
+  {
+    return x.matrix() == Derived::Zero(x.rows(), x.cols()).matrix();
+  }
+};
+
+template<typename Derived, bool is_integer = NumTraits<typename Derived::Scalar>::IsInteger>
+struct isMuchSmallerThan_scalar_selector
+{
+  EIGEN_DEVICE_FUNC
+  static bool run(const Derived& x, const typename Derived::RealScalar& y, const typename Derived::RealScalar& prec)
+  {
+    return x.cwiseAbs2().sum() <= numext::abs2(prec * y);
+  }
+};
+
+template<typename Derived>
+struct isMuchSmallerThan_scalar_selector<Derived, true>
+{
+  EIGEN_DEVICE_FUNC
+  static bool run(const Derived& x, const typename Derived::RealScalar&, const typename Derived::RealScalar&)
+  {
+    return x.matrix() == Derived::Zero(x.rows(), x.cols()).matrix();
+  }
+};
+
+} // end namespace internal
+
+
+/** \returns \c true if \c *this is approximately equal to \a other, within the precision
+  * determined by \a prec.
+  *
+  * \note The fuzzy compares are done multiplicatively. Two vectors \f$ v \f$ and \f$ w \f$
+  * are considered to be approximately equal within precision \f$ p \f$ if
+  * \f[ \Vert v - w \Vert \leqslant p\,\min(\Vert v\Vert, \Vert w\Vert). \f]
+  * For matrices, the comparison is done using the Hilbert-Schmidt norm (aka Frobenius norm
+  * L2 norm).
+  *
+  * \note Because of the multiplicativeness of this comparison, one can't use this function
+  * to check whether \c *this is approximately equal to the zero matrix or vector.
+  * Indeed, \c isApprox(zero) returns false unless \c *this itself is exactly the zero matrix
+  * or vector. If you want to test whether \c *this is zero, use internal::isMuchSmallerThan(const
+  * RealScalar&, RealScalar) instead.
+  *
+  * \sa internal::isMuchSmallerThan(const RealScalar&, RealScalar) const
+  */
+template<typename Derived>
+template<typename OtherDerived>
+bool DenseBase<Derived>::isApprox(
+  const DenseBase<OtherDerived>& other,
+  const RealScalar& prec
+) const
+{
+  return internal::isApprox_selector<Derived, OtherDerived>::run(derived(), other.derived(), prec);
+}
+
+/** \returns \c true if the norm of \c *this is much smaller than \a other,
+  * within the precision determined by \a prec.
+  *
+  * \note The fuzzy compares are done multiplicatively. A vector \f$ v \f$ is
+  * considered to be much smaller than \f$ x \f$ within precision \f$ p \f$ if
+  * \f[ \Vert v \Vert \leqslant p\,\vert x\vert. \f]
+  *
+  * For matrices, the comparison is done using the Hilbert-Schmidt norm. For this reason,
+  * the value of the reference scalar \a other should come from the Hilbert-Schmidt norm
+  * of a reference matrix of same dimensions.
+  *
+  * \sa isApprox(), isMuchSmallerThan(const DenseBase<OtherDerived>&, RealScalar) const
+  */
+template<typename Derived>
+bool DenseBase<Derived>::isMuchSmallerThan(
+  const typename NumTraits<Scalar>::Real& other,
+  const RealScalar& prec
+) const
+{
+  return internal::isMuchSmallerThan_scalar_selector<Derived>::run(derived(), other, prec);
+}
+
+/** \returns \c true if the norm of \c *this is much smaller than the norm of \a other,
+  * within the precision determined by \a prec.
+  *
+  * \note The fuzzy compares are done multiplicatively. A vector \f$ v \f$ is
+  * considered to be much smaller than a vector \f$ w \f$ within precision \f$ p \f$ if
+  * \f[ \Vert v \Vert \leqslant p\,\Vert w\Vert. \f]
+  * For matrices, the comparison is done using the Hilbert-Schmidt norm.
+  *
+  * \sa isApprox(), isMuchSmallerThan(const RealScalar&, RealScalar) const
+  */
+template<typename Derived>
+template<typename OtherDerived>
+bool DenseBase<Derived>::isMuchSmallerThan(
+  const DenseBase<OtherDerived>& other,
+  const RealScalar& prec
+) const
+{
+  return internal::isMuchSmallerThan_object_selector<Derived, OtherDerived>::run(derived(), other.derived(), prec);
+}
+
+} // end namespace Eigen
+
+#endif // EIGEN_FUZZY_H
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h	(revision 3761)
@@ -0,0 +1,499 @@
+// This file is part of Eigen, a lightweight C++ template library
+// for linear algebra.
+//
+// Copyright (C) 2009-2010 Gael Guennebaud <gael.guennebaud@inria.fr>
+//
+// This Source Code Form is subject to the terms of the Mozilla
+// Public License v. 2.0. If a copy of the MPL was not distributed
+// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
+
+#ifndef EIGEN_BLASUTIL_H
+#define EIGEN_BLASUTIL_H
+
+// This file contains many lightweight helper classes used to
+// implement and control fast level 2 and level 3 BLAS-like routines.
+
+namespace Eigen {
+
+namespace internal {
+
+// forward declarations
+template<typename LhsScalar, typename RhsScalar, typename Index, typename DataMapper, int mr, int nr, bool ConjugateLhs=false, bool ConjugateRhs=false>
+struct gebp_kernel;
+
+template<typename Scalar, typename Index, typename DataMapper, int nr, int StorageOrder, bool Conjugate = false, bool PanelMode=false>
+struct gemm_pack_rhs;
+
+template<typename Scalar, typename Index, typename DataMapper, int Pack1, int Pack2, int StorageOrder, bool Conjugate = false, bool PanelMode = false>
+struct gemm_pack_lhs;
+
+template<
+  typename Index,
+  typename LhsScalar, int LhsStorageOrder, bool ConjugateLhs,
+  typename RhsScalar, int RhsStorageOrder, bool ConjugateRhs,
+  int ResStorageOrder, int ResInnerStride>
+struct general_matrix_matrix_product;
+
+template<typename Index,
+         typename LhsScalar, typename LhsMapper, int LhsStorageOrder, bool ConjugateLhs,
+         typename RhsScalar, typename RhsMapper, bool ConjugateRhs, int Version=Specialized>
+struct general_matrix_vector_product;
+
+
+template<bool Conjugate> struct conj_if;
+
+template<> struct conj_if<true> {
+  template<typename T>
+  inline T operator()(const T& x) const { return numext::conj(x); }
+  template<typename T>
+  inline T pconj(const T& x) const { return internal::pconj(x); }
+};
+
+template<> struct conj_if<false> {
+  template<typename T>
+  inline const T& operator()(const T& x) const { return x; }
+  template<typename T>
+  inline const T& pconj(const T& x) const { return x; }
+};
+
+// Generic implementation for custom complex types.
+template<typename LhsScalar, typename RhsScalar, bool ConjLhs, bool ConjRhs>
+struct conj_helper
+{
+  typedef typename ScalarBinaryOpTraits<LhsScalar,RhsScalar>::ReturnType Scalar;
+
+  EIGEN_STRONG_INLINE Scalar pmadd(const LhsScalar& x, const RhsScalar& y, const Scalar& c) const
+  { return padd(c, pmul(x,y)); }
+
+  EIGEN_STRONG_INLINE Scalar pmul(const LhsScalar& x, const RhsScalar& y) const
+  { return conj_if<ConjLhs>()(x) *  conj_if<ConjRhs>()(y); }
+};
+
+template<typename Scalar> struct conj_helper<Scalar,Scalar,false,false>
+{
+  EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE Scalar pmadd(const Scalar& x, const Scalar& y, const Scalar& c) const { return internal::pmadd(x,y,c); }
+  EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE Scalar pmul(const Scalar& x, const Scalar& y) const { return internal::pmul(x,y); }
+};
+
+template<typename RealScalar> struct conj_helper<std::complex<RealScalar>, std::complex<RealScalar>, false,true>
+{
+  typedef std::complex<RealScalar> Scalar;
+  EIGEN_STRONG_INLINE Scalar pmadd(const Scalar& x, const Scalar& y, const Scalar& c) const
+  { return c + pmul(x,y); }
+
+  EIGEN_STRONG_INLINE Scalar pmul(const Scalar& x, const Scalar& y) const
+  { return Scalar(numext::real(x)*numext::real(y) + numext::imag(x)*numext::imag(y), numext::imag(x)*numext::real(y) - numext::real(x)*numext::imag(y)); }
+};
+
+template<typename RealScalar> struct conj_helper<std::complex<RealScalar>, std::complex<RealScalar>, true,false>
+{
+  typedef std::complex<RealScalar> Scalar;
+  EIGEN_STRONG_INLINE Scalar pmadd(const Scalar& x, const Scalar& y, const Scalar& c) const
+  { return c + pmul(x,y); }
+
+  EIGEN_STRONG_INLINE Scalar pmul(const Scalar& x, const Scalar& y) const
+  { return Scalar(numext::real(x)*numext::real(y) + numext::imag(x)*numext::imag(y), numext::real(x)*numext::imag(y) - numext::imag(x)*numext::real(y)); }
+};
+
+template<typename RealScalar> struct conj_helper<std::complex<RealScalar>, std::complex<RealScalar>, true,true>
+{
+  typedef std::complex<RealScalar> Scalar;
+  EIGEN_STRONG_INLINE Scalar pmadd(const Scalar& x, const Scalar& y, const Scalar& c) const
+  { return c + pmul(x,y); }
+
+  EIGEN_STRONG_INLINE Scalar pmul(const Scalar& x, const Scalar& y) const
+  { return Scalar(numext::real(x)*numext::real(y) - numext::imag(x)*numext::imag(y), - numext::real(x)*numext::imag(y) - numext::imag(x)*numext::real(y)); }
+};
+
+template<typename RealScalar,bool Conj> struct conj_helper<std::complex<RealScalar>, RealScalar, Conj,false>
+{
+  typedef std::complex<RealScalar> Scalar;
+  EIGEN_STRONG_INLINE Scalar pmadd(const Scalar& x, const RealScalar& y, const Scalar& c) const
+  { return padd(c, pmul(x,y)); }
+  EIGEN_STRONG_INLINE Scalar pmul(const Scalar& x, const RealScalar& y) const
+  { return conj_if<Conj>()(x)*y; }
+};
+
+template<typename RealScalar,bool Conj> struct conj_helper<RealScalar, std::complex<RealScalar>, false,Conj>
+{
+  typedef std::complex<RealScalar> Scalar;
+  EIGEN_STRONG_INLINE Scalar pmadd(const RealScalar& x, const Scalar& y, const Scalar& c) const
+  { return padd(c, pmul(x,y)); }
+  EIGEN_STRONG_INLINE Scalar pmul(const RealScalar& x, const Scalar& y) const
+  { return x*conj_if<Conj>()(y); }
+};
+
+template<typename From,typename To> struct get_factor {
+  EIGEN_DEVICE_FUNC static EIGEN_STRONG_INLINE To run(const From& x) { return To(x); }
+};
+
+template<typename Scalar> struct get_factor<Scalar,typename NumTraits<Scalar>::Real> {
+  EIGEN_DEVICE_FUNC
+  static EIGEN_STRONG_INLINE typename NumTraits<Scalar>::Real run(const Scalar& x) { return numext::real(x); }
+};
+
+
+template<typename Scalar, typename Index>
+class BlasVectorMapper {
+  public:
+  EIGEN_DEVICE_FUNC EIGEN_ALWAYS_INLINE BlasVectorMapper(Scalar *data) : m_data(data) {}
+
+  EIGEN_DEVICE_FUNC EIGEN_ALWAYS_INLINE Scalar operator()(Index i) const {
+    return m_data[i];
+  }
+  template <typename Packet, int AlignmentType>
+  EIGEN_DEVICE_FUNC EIGEN_ALWAYS_INLINE Packet load(Index i) const {
+    return ploadt<Packet, AlignmentType>(m_data + i);
+  }
+
+  template <typename Packet>
+  EIGEN_DEVICE_FUNC bool aligned(Index i) const {
+    return (UIntPtr(m_data+i)%sizeof(Packet))==0;
+  }
+
+  protected:
+  Scalar* m_data;
+};
+
+template<typename Scalar, typename Index, int AlignmentType, int Incr=1>
+class BlasLinearMapper;
+
+template<typename Scalar, typename Index, int AlignmentType>
+class BlasLinearMapper<Scalar,Index,AlignmentType,1> {
+  public:
+  typedef typename packet_traits<Scalar>::type Packet;
+  typedef typename packet_traits<Scalar>::half HalfPacket;
+
+  EIGEN_DEVICE_FUNC EIGEN_ALWAYS_INLINE BlasLinearMapper(Scalar *data, Index incr=1)
+    : m_data(data)
+  {
+    EIGEN_ONLY_USED_FOR_DEBUG(incr);
+    eigen_assert(incr==1);
+  }
+
+  EIGEN_DEVICE_FUNC EIGEN_ALWAYS_INLINE void prefetch(int i) const {
+    internal::prefetch(&operator()(i));
+  }
+
+  EIGEN_DEVICE_FUNC EIGEN_ALWAYS_INLINE Scalar& operator()(Index i) const {
+    return m_data[i];
+  }
+
+  EIGEN_DEVICE_FUNC EIGEN_ALWAYS_INLINE Packet loadPacket(Index i) const {
+    return ploadt<Packet, AlignmentType>(m_data + i);
+  }
+
+  EIGEN_DEVICE_FUNC EIGEN_ALWAYS_INLINE HalfPacket loadHalfPacket(Index i) const {
+    return ploadt<HalfPacket, AlignmentType>(m_data + i);
+  }
+
+  EIGEN_DEVICE_FUNC EIGEN_ALWAYS_INLINE void storePacket(Index i, const Packet &p) const {
+    pstoret<Scalar, Packet, AlignmentType>(m_data + i, p);
+  }
+
+  protected:
+  Scalar *m_data;
+};
+
+// Lightweight helper class to access matrix coefficients.
+template<typename Scalar, typename Index, int StorageOrder, int AlignmentType = Unaligned, int Incr = 1>
+class blas_data_mapper;
+
+template<typename Scalar, typename Index, int StorageOrder, int AlignmentType>
+class blas_data_mapper<Scalar,Index,StorageOrder,AlignmentType,1>
+{
+public:
+  typedef typename packet_traits<Scalar>::type Packet;
+  typedef typename packet_traits<Scalar>::half HalfPacket;
+
+  typedef BlasLinearMapper<Scalar, Index, AlignmentType> LinearMapper;
+  typedef BlasVectorMapper<Scalar, Index> VectorMapper;
+
+  EIGEN_DEVICE_FUNC EIGEN_ALWAYS_INLINE blas_data_mapper(Scalar* data, Index stride, Index incr=1)
+   : m_data(data), m_stride(stride)
+  {
+    EIGEN_ONLY_USED_FOR_DEBUG(incr);
+    eigen_assert(incr==1);
+  }
+
+  EIGEN_DEVICE_FUNC  EIGEN_ALWAYS_INLINE blas_data_mapper<Scalar, Index, StorageOrder, AlignmentType>
+  getSubMapper(Index i, Index j) const {
+    return blas_data_mapper<Scalar, Index, StorageOrder, AlignmentType>(&operator()(i, j), m_stride);
+  }
+
+  EIGEN_DEVICE_FUNC  EIGEN_ALWAYS_INLINE LinearMapper getLinearMapper(Index i, Index j) const {
+    return LinearMapper(&operator()(i, j));
+  }
+
+  EIGEN_DEVICE_FUNC  EIGEN_ALWAYS_INLINE VectorMapper getVectorMapper(Index i, Index j) const {
+    return VectorMapper(&operator()(i, j));
+  }
+
+
+  EIGEN_DEVICE_FUNC
+  EIGEN_ALWAYS_INLINE Scalar& operator()(Index i, Index j) const {
+    return m_data[StorageOrder==RowMajor ? j + i*m_stride : i + j*m_stride];
+  }
+
+  EIGEN_DEVICE_FUNC EIGEN_ALWAYS_INLINE Packet loadPacket(Index i, Index j) const {
+    return ploadt<Packet, AlignmentType>(&operator()(i, j));
+  }
+
+  EIGEN_DEVICE_FUNC EIGEN_ALWAYS_INLINE HalfPacket loadHalfPacket(Index i, Index j) const {
+    return ploadt<HalfPacket, AlignmentType>(&operator()(i, j));
+  }
+
+  template<typename SubPacket>
+  EIGEN_DEVICE_FUNC EIGEN_ALWAYS_INLINE void scatterPacket(Index i, Index j, const SubPacket &p) const {
+    pscatter<Scalar, SubPacket>(&operator()(i, j), p, m_stride);
+  }
+
+  template<typename SubPacket>
+  EIGEN_DEVICE_FUNC EIGEN_ALWAYS_INLINE SubPacket gatherPacket(Index i, Index j) const {
+    return pgather<Scalar, SubPacket>(&operator()(i, j), m_stride);
+  }
+
+  EIGEN_DEVICE_FUNC const Index stride() const { return m_stride; }
+  EIGEN_DEVICE_FUNC const Scalar* data() const { return m_data; }
+
+  EIGEN_DEVICE_FUNC Index firstAligned(Index size) const {
+    if (UIntPtr(m_data)%sizeof(Scalar)) {
+      return -1;
+    }
+    return internal::first_default_aligned(m_data, size);
+  }
+
+  protected:
+  Scalar* EIGEN_RESTRICT m_data;
+  const Index m_stride;
+};
+
+// Implementation of non-natural increment (i.e. inner-stride != 1)
+// The exposed API is not complete yet compared to the Incr==1 case
+// because some features makes less sense in this case.
+template<typename Scalar, typename Index, int AlignmentType, int Incr>
+class BlasLinearMapper
+{
+public:
+  typedef typename packet_traits<Scalar>::type Packet;
+  typedef typename packet_traits<Scalar>::half HalfPacket;
+
+  EIGEN_DEVICE_FUNC EIGEN_ALWAYS_INLINE BlasLinearMapper(Scalar *data,Index incr) : m_data(data), m_incr(incr) {}
+
+  EIGEN_DEVICE_FUNC EIGEN_ALWAYS_INLINE void prefetch(int i) const {
+    internal::prefetch(&operator()(i));
+  }
+
+  EIGEN_DEVICE_FUNC EIGEN_ALWAYS_INLINE Scalar& operator()(Index i) const {
+    return m_data[i*m_incr.value()];
+  }
+
+  EIGEN_DEVICE_FUNC EIGEN_ALWAYS_INLINE Packet loadPacket(Index i) const {
+    return pgather<Scalar,Packet>(m_data + i*m_incr.value(), m_incr.value());
+  }
+
+  template<typename PacketType>
+  EIGEN_DEVICE_FUNC EIGEN_ALWAYS_INLINE void storePacket(Index i, const PacketType &p) const {
+    pscatter<Scalar, PacketType>(m_data + i*m_incr.value(), p, m_incr.value());
+  }
+
+protected:
+  Scalar *m_data;
+  const internal::variable_if_dynamic<Index,Incr> m_incr;
+};
+
+template<typename Scalar, typename Index, int StorageOrder, int AlignmentType,int Incr>
+class blas_data_mapper
+{
+public:
+  typedef typename packet_traits<Scalar>::type Packet;
+  typedef typename packet_traits<Scalar>::half HalfPacket;
+
+  typedef BlasLinearMapper<Scalar, Index, AlignmentType,Incr> LinearMapper;
+
+  EIGEN_DEVICE_FUNC EIGEN_ALWAYS_INLINE blas_data_mapper(Scalar* data, Index stride, Index incr) : m_data(data), m_stride(stride), m_incr(incr) {}
+
+  EIGEN_DEVICE_FUNC  EIGEN_ALWAYS_INLINE blas_data_mapper
+  getSubMapper(Index i, Index j) const {
+    return blas_data_mapper(&operator()(i, j), m_stride, m_incr.value());
+  }
+
+  EIGEN_DEVICE_FUNC  EIGEN_ALWAYS_INLINE LinearMapper getLinearMapper(Index i, Index j) const {
+    return LinearMapper(&operator()(i, j), m_incr.value());
+  }
+
+  EIGEN_DEVICE_FUNC
+  EIGEN_ALWAYS_INLINE Scalar& operator()(Index i, Index j) const {
+    return m_data[StorageOrder==RowMajor ? j*m_incr.value() + i*m_stride : i*m_incr.value() + j*m_stride];
+  }
+
+  EIGEN_DEVICE_FUNC EIGEN_ALWAYS_INLINE Packet loadPacket(Index i, Index j) const {
+    return pgather<Scalar,Packet>(&operator()(i, j),m_incr.value());
+  }
+
+  template <typename PacketT, int AlignmentT>
+  EIGEN_DEVICE_FUNC EIGEN_ALWAYS_INLINE PacketT load(Index i, Index j) const {
+    return pgather<Scalar,PacketT>(&operator()(i, j),m_incr.value());
+  }
+
+  template<typename SubPacket>
+  EIGEN_DEVICE_FUNC EIGEN_ALWAYS_INLINE void scatterPacket(Index i, Index j, const SubPacket &p) const {
+    pscatter<Scalar, SubPacket>(&operator()(i, j), p, m_stride);
+  }
+
+  template<typename SubPacket>
+  EIGEN_DEVICE_FUNC EIGEN_ALWAYS_INLINE SubPacket gatherPacket(Index i, Index j) const {
+    return pgather<Scalar, SubPacket>(&operator()(i, j), m_stride);
+  }
+
+protected:
+  Scalar* EIGEN_RESTRICT m_data;
+  const Index m_stride;
+  const internal::variable_if_dynamic<Index,Incr> m_incr;
+};
+
+// lightweight helper class to access matrix coefficients (const version)
+template<typename Scalar, typename Index, int StorageOrder>
+class const_blas_data_mapper : public blas_data_mapper<const Scalar, Index, StorageOrder> {
+  public:
+  EIGEN_ALWAYS_INLINE const_blas_data_mapper(const Scalar *data, Index stride) : blas_data_mapper<const Scalar, Index, StorageOrder>(data, stride) {}
+
+  EIGEN_ALWAYS_INLINE const_blas_data_mapper<Scalar, Index, StorageOrder> getSubMapper(Index i, Index j) const {
+    return const_blas_data_mapper<Scalar, Index, StorageOrder>(&(this->operator()(i, j)), this->m_stride);
+  }
+};
+
+
+/* Helper class to analyze the factors of a Product expression.
+ * In particular it allows to pop out operator-, scalar multiples,
+ * and conjugate */
+template<typename XprType> struct blas_traits
+{
+  typedef typename traits<XprType>::Scalar Scalar;
+  typedef const XprType& ExtractType;
+  typedef XprType _ExtractType;
+  enum {
+    IsComplex = NumTraits<Scalar>::IsComplex,
+    IsTransposed = false,
+    NeedToConjugate = false,
+    HasUsableDirectAccess = (    (int(XprType::Flags)&DirectAccessBit)
+                              && (   bool(XprType::IsVectorAtCompileTime)
+                                  || int(inner_stride_at_compile_time<XprType>::ret) == 1)
+                             ) ?  1 : 0
+  };
+  typedef typename conditional<bool(HasUsableDirectAccess),
+    ExtractType,
+    typename _ExtractType::PlainObject
+    >::type DirectLinearAccessType;
+  static inline ExtractType extract(const XprType& x) { return x; }
+  static inline const Scalar extractScalarFactor(const XprType&) { return Scalar(1); }
+};
+
+// pop conjugate
+template<typename Scalar, typename NestedXpr>
+struct blas_traits<CwiseUnaryOp<scalar_conjugate_op<Scalar>, NestedXpr> >
+ : blas_traits<NestedXpr>
+{
+  typedef blas_traits<NestedXpr> Base;
+  typedef CwiseUnaryOp<scalar_conjugate_op<Scalar>, NestedXpr> XprType;
+  typedef typename Base::ExtractType ExtractType;
+
+  enum {
+    IsComplex = NumTraits<Scalar>::IsComplex,
+    NeedToConjugate = Base::NeedToConjugate ? 0 : IsComplex
+  };
+  static inline ExtractType extract(const XprType& x) { return Base::extract(x.nestedExpression()); }
+  static inline Scalar extractScalarFactor(const XprType& x) { return conj(Base::extractScalarFactor(x.nestedExpression())); }
+};
+
+// pop scalar multiple
+template<typename Scalar, typename NestedXpr, typename Plain>
+struct blas_traits<CwiseBinaryOp<scalar_product_op<Scalar>, const CwiseNullaryOp<scalar_constant_op<Scalar>,Plain>, NestedXpr> >
+ : blas_traits<NestedXpr>
+{
+  typedef blas_traits<NestedXpr> Base;
+  typedef CwiseBinaryOp<scalar_product_op<Scalar>, const CwiseNullaryOp<scalar_constant_op<Scalar>,Plain>, NestedXpr> XprType;
+  typedef typename Base::ExtractType ExtractType;
+  static inline ExtractType extract(const XprType& x) { return Base::extract(x.rhs()); }
+  static inline Scalar extractScalarFactor(const XprType& x)
+  { return x.lhs().functor().m_other * Base::extractScalarFactor(x.rhs()); }
+};
+template<typename Scalar, typename NestedXpr, typename Plain>
+struct blas_traits<CwiseBinaryOp<scalar_product_op<Scalar>, NestedXpr, const CwiseNullaryOp<scalar_constant_op<Scalar>,Plain> > >
+ : blas_traits<NestedXpr>
+{
+  typedef blas_traits<NestedXpr> Base;
+  typedef CwiseBinaryOp<scalar_product_op<Scalar>, NestedXpr, const CwiseNullaryOp<scalar_constant_op<Scalar>,Plain> > XprType;
+  typedef typename Base::ExtractType ExtractType;
+  static inline ExtractType extract(const XprType& x) { return Base::extract(x.lhs()); }
+  static inline Scalar extractScalarFactor(const XprType& x)
+  { return Base::extractScalarFactor(x.lhs()) * x.rhs().functor().m_other; }
+};
+template<typename Scalar, typename Plain1, typename Plain2>
+struct blas_traits<CwiseBinaryOp<scalar_product_op<Scalar>, const CwiseNullaryOp<scalar_constant_op<Scalar>,Plain1>,
+                                                            const CwiseNullaryOp<scalar_constant_op<Scalar>,Plain2> > >
+ : blas_traits<CwiseNullaryOp<scalar_constant_op<Scalar>,Plain1> >
+{};
+
+// pop opposite
+template<typename Scalar, typename NestedXpr>
+struct blas_traits<CwiseUnaryOp<scalar_opposite_op<Scalar>, NestedXpr> >
+ : blas_traits<NestedXpr>
+{
+  typedef blas_traits<NestedXpr> Base;
+  typedef CwiseUnaryOp<scalar_opposite_op<Scalar>, NestedXpr> XprType;
+  typedef typename Base::ExtractType ExtractType;
+  static inline ExtractType extract(const XprType& x) { return Base::extract(x.nestedExpression()); }
+  static inline Scalar extractScalarFactor(const XprType& x)
+  { return - Base::extractScalarFactor(x.nestedExpression()); }
+};
+
+// pop/push transpose
+template<typename NestedXpr>
+struct blas_traits<Transpose<NestedXpr> >
+ : blas_traits<NestedXpr>
+{
+  typedef typename NestedXpr::Scalar Scalar;
+  typedef blas_traits<NestedXpr> Base;
+  typedef Transpose<NestedXpr> XprType;
+  typedef Transpose<const typename Base::_ExtractType>  ExtractType; // const to get rid of a compile error; anyway blas traits are only used on the RHS
+  typedef Transpose<const typename Base::_ExtractType> _ExtractType;
+  typedef typename conditional<bool(Base::HasUsableDirectAccess),
+    ExtractType,
+    typename ExtractType::PlainObject
+    >::type DirectLinearAccessType;
+  enum {
+    IsTransposed = Base::IsTransposed ? 0 : 1
+  };
+  static inline ExtractType extract(const XprType& x) { return ExtractType(Base::extract(x.nestedExpression())); }
+  static inline Scalar extractScalarFactor(const XprType& x) { return Base::extractScalarFactor(x.nestedExpression()); }
+};
+
+template<typename T>
+struct blas_traits<const T>
+     : blas_traits<T>
+{};
+
+template<typename T, bool HasUsableDirectAccess=blas_traits<T>::HasUsableDirectAccess>
+struct extract_data_selector {
+  static const typename T::Scalar* run(const T& m)
+  {
+    return blas_traits<T>::extract(m).data();
+  }
+};
+
+template<typename T>
+struct extract_data_selector<T,false> {
+  static typename T::Scalar* run(const T&) { return 0; }
+};
+
+template<typename T> const typename T::Scalar* extract_data(const T& m)
+{
+  return extract_data_selector<T>::run(m);
+}
+
+} // end namespace internal
+
+} // end namespace Eigen
+
+#endif // EIGEN_BLASUTIL_H
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/util/MKL_support.h
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/util/MKL_support.h	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/util/MKL_support.h	(revision 3761)
@@ -0,0 +1,130 @@
+/*
+ Copyright (c) 2011, Intel Corporation. All rights reserved.
+
+ Redistribution and use in source and binary forms, with or without modification,
+ are permitted provided that the following conditions are met:
+
+ * Redistributions of source code must retain the above copyright notice, this
+   list of conditions and the following disclaimer.
+ * Redistributions in binary form must reproduce the above copyright notice,
+   this list of conditions and the following disclaimer in the documentation
+   and/or other materials provided with the distribution.
+ * Neither the name of Intel Corporation nor the names of its contributors may
+   be used to endorse or promote products derived from this software without
+   specific prior written permission.
+
+ THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND
+ ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED
+ WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
+ DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE LIABLE FOR
+ ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES
+ (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES;
+ LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON
+ ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
+ (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS
+ SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
+
+ ********************************************************************************
+ *   Content : Eigen bindings to Intel(R) MKL
+ *   Include file with common MKL declarations
+ ********************************************************************************
+*/
+
+#ifndef EIGEN_MKL_SUPPORT_H
+#define EIGEN_MKL_SUPPORT_H
+
+#ifdef EIGEN_USE_MKL_ALL
+  #ifndef EIGEN_USE_BLAS
+    #define EIGEN_USE_BLAS
+  #endif
+  #ifndef EIGEN_USE_LAPACKE
+    #define EIGEN_USE_LAPACKE
+  #endif
+  #ifndef EIGEN_USE_MKL_VML
+    #define EIGEN_USE_MKL_VML
+  #endif
+#endif
+
+#ifdef EIGEN_USE_LAPACKE_STRICT
+  #define EIGEN_USE_LAPACKE
+#endif
+
+#if defined(EIGEN_USE_MKL_VML) && !defined(EIGEN_USE_MKL)
+  #define EIGEN_USE_MKL
+#endif
+
+
+#if defined EIGEN_USE_MKL
+#   include <mkl.h> 
+/*Check IMKL version for compatibility: < 10.3 is not usable with Eigen*/
+#   ifndef INTEL_MKL_VERSION
+#       undef EIGEN_USE_MKL /* INTEL_MKL_VERSION is not even defined on older versions */
+#   elif INTEL_MKL_VERSION < 100305    /* the intel-mkl-103-release-notes say this was when the lapacke.h interface was added*/
+#       undef EIGEN_USE_MKL
+#   endif
+#   ifndef EIGEN_USE_MKL
+    /*If the MKL version is too old, undef everything*/
+#       undef   EIGEN_USE_MKL_ALL
+#       undef   EIGEN_USE_LAPACKE
+#       undef   EIGEN_USE_MKL_VML
+#       undef   EIGEN_USE_LAPACKE_STRICT
+#       undef   EIGEN_USE_LAPACKE
+#   endif
+#endif
+
+#if defined EIGEN_USE_MKL
+
+#define EIGEN_MKL_VML_THRESHOLD 128
+
+/* MKL_DOMAIN_BLAS, etc are defined only in 10.3 update 7 */
+/* MKL_BLAS, etc are not defined in 11.2 */
+#ifdef MKL_DOMAIN_ALL
+#define EIGEN_MKL_DOMAIN_ALL MKL_DOMAIN_ALL
+#else
+#define EIGEN_MKL_DOMAIN_ALL MKL_ALL
+#endif
+
+#ifdef MKL_DOMAIN_BLAS
+#define EIGEN_MKL_DOMAIN_BLAS MKL_DOMAIN_BLAS
+#else
+#define EIGEN_MKL_DOMAIN_BLAS MKL_BLAS
+#endif
+
+#ifdef MKL_DOMAIN_FFT
+#define EIGEN_MKL_DOMAIN_FFT MKL_DOMAIN_FFT
+#else
+#define EIGEN_MKL_DOMAIN_FFT MKL_FFT
+#endif
+
+#ifdef MKL_DOMAIN_VML
+#define EIGEN_MKL_DOMAIN_VML MKL_DOMAIN_VML
+#else
+#define EIGEN_MKL_DOMAIN_VML MKL_VML
+#endif
+
+#ifdef MKL_DOMAIN_PARDISO
+#define EIGEN_MKL_DOMAIN_PARDISO MKL_DOMAIN_PARDISO
+#else
+#define EIGEN_MKL_DOMAIN_PARDISO MKL_PARDISO
+#endif
+#endif
+
+#if defined(EIGEN_USE_BLAS) && !defined(EIGEN_USE_MKL)
+#include "../../misc/blas.h"
+#endif
+
+namespace Eigen {
+
+typedef std::complex<double> dcomplex;
+typedef std::complex<float>  scomplex;
+
+#if defined(EIGEN_USE_MKL)
+typedef MKL_INT BlasIndex;
+#else
+typedef int BlasIndex;
+#endif
+
+} // end namespace Eigen
+
+
+#endif // EIGEN_MKL_SUPPORT_H
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/util/ReenableStupidWarnings.h
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/util/ReenableStupidWarnings.h	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/util/ReenableStupidWarnings.h	(revision 3761)
@@ -0,0 +1,31 @@
+#ifdef EIGEN_WARNINGS_DISABLED_2
+// "DisableStupidWarnings.h" was included twice recursively: Do not reenable warnings yet!
+#  undef EIGEN_WARNINGS_DISABLED_2
+
+#elif defined(EIGEN_WARNINGS_DISABLED)
+#undef EIGEN_WARNINGS_DISABLED
+
+#ifndef EIGEN_PERMANENTLY_DISABLE_STUPID_WARNINGS
+  #ifdef _MSC_VER
+    #pragma warning( pop )
+  #elif defined __INTEL_COMPILER
+    #pragma warning pop
+  #elif defined __clang__
+    #pragma clang diagnostic pop
+  #elif defined __GNUC__  &&  (__GNUC__ > 4 || (__GNUC__ == 4 && __GNUC_MINOR__ >= 6))
+    #pragma GCC diagnostic pop
+  #endif
+
+  #if defined __NVCC__
+//    Don't reenable the diagnostic messages, as it turns out these messages need
+//    to be disabled at the point of the template instantiation (i.e the user code)
+//    otherwise they'll be triggered by nvcc.
+//    #pragma diag_default code_is_unreachable
+//    #pragma diag_default initialization_not_reachable
+//    #pragma diag_default 2651
+//    #pragma diag_default 2653
+  #endif
+
+#endif
+
+#endif // EIGEN_WARNINGS_DISABLED
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/util/Macros.h
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/util/Macros.h	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/util/Macros.h	(revision 3761)
@@ -0,0 +1,1053 @@
+// This file is part of Eigen, a lightweight C++ template library
+// for linear algebra.
+//
+// Copyright (C) 2008-2015 Gael Guennebaud <gael.guennebaud@inria.fr>
+// Copyright (C) 2006-2008 Benoit Jacob <jacob.benoit.1@gmail.com>
+//
+// This Source Code Form is subject to the terms of the Mozilla
+// Public License v. 2.0. If a copy of the MPL was not distributed
+// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
+
+#ifndef EIGEN_MACROS_H
+#define EIGEN_MACROS_H
+
+#define EIGEN_WORLD_VERSION 3
+#define EIGEN_MAJOR_VERSION 3
+#define EIGEN_MINOR_VERSION 9
+
+#define EIGEN_VERSION_AT_LEAST(x,y,z) (EIGEN_WORLD_VERSION>x || (EIGEN_WORLD_VERSION>=x && \
+                                      (EIGEN_MAJOR_VERSION>y || (EIGEN_MAJOR_VERSION>=y && \
+                                                                 EIGEN_MINOR_VERSION>=z))))
+
+// Compiler identification, EIGEN_COMP_*
+
+/// \internal EIGEN_COMP_GNUC set to 1 for all compilers compatible with GCC
+#ifdef __GNUC__
+  #define EIGEN_COMP_GNUC 1
+#else
+  #define EIGEN_COMP_GNUC 0
+#endif
+
+/// \internal EIGEN_COMP_CLANG set to major+minor version (e.g., 307 for clang 3.7) if the compiler is clang
+#if defined(__clang__)
+  #define EIGEN_COMP_CLANG (__clang_major__*100+__clang_minor__)
+#else
+  #define EIGEN_COMP_CLANG 0
+#endif
+
+
+/// \internal EIGEN_COMP_LLVM set to 1 if the compiler backend is llvm
+#if defined(__llvm__)
+  #define EIGEN_COMP_LLVM 1
+#else
+  #define EIGEN_COMP_LLVM 0
+#endif
+
+/// \internal EIGEN_COMP_ICC set to __INTEL_COMPILER if the compiler is Intel compiler, 0 otherwise
+#if defined(__INTEL_COMPILER)
+  #define EIGEN_COMP_ICC __INTEL_COMPILER
+#else
+  #define EIGEN_COMP_ICC 0
+#endif
+
+/// \internal EIGEN_COMP_MINGW set to 1 if the compiler is mingw
+#if defined(__MINGW32__)
+  #define EIGEN_COMP_MINGW 1
+#else
+  #define EIGEN_COMP_MINGW 0
+#endif
+
+/// \internal EIGEN_COMP_SUNCC set to 1 if the compiler is Solaris Studio
+#if defined(__SUNPRO_CC)
+  #define EIGEN_COMP_SUNCC 1
+#else
+  #define EIGEN_COMP_SUNCC 0
+#endif
+
+/// \internal EIGEN_COMP_MSVC set to _MSC_VER if the compiler is Microsoft Visual C++, 0 otherwise.
+#if defined(_MSC_VER)
+  #define EIGEN_COMP_MSVC _MSC_VER
+#else
+  #define EIGEN_COMP_MSVC 0
+#endif
+
+// For the record, here is a table summarizing the possible values for EIGEN_COMP_MSVC:
+//  name  ver   MSC_VER
+//  2008    9      1500
+//  2010   10      1600
+//  2012   11      1700
+//  2013   12      1800
+//  2015   14      1900
+//  "15"   15      1900
+
+/// \internal EIGEN_COMP_MSVC_STRICT set to 1 if the compiler is really Microsoft Visual C++ and not ,e.g., ICC or clang-cl
+#if EIGEN_COMP_MSVC && !(EIGEN_COMP_ICC || EIGEN_COMP_LLVM || EIGEN_COMP_CLANG)
+  #define EIGEN_COMP_MSVC_STRICT _MSC_VER
+#else
+  #define EIGEN_COMP_MSVC_STRICT 0
+#endif
+
+/// \internal EIGEN_COMP_IBM set to 1 if the compiler is IBM XL C++
+#if defined(__IBMCPP__) || defined(__xlc__)
+  #define EIGEN_COMP_IBM 1
+#else
+  #define EIGEN_COMP_IBM 0
+#endif
+
+/// \internal EIGEN_COMP_PGI set to 1 if the compiler is Portland Group Compiler
+#if defined(__PGI)
+  #define EIGEN_COMP_PGI 1
+#else
+  #define EIGEN_COMP_PGI 0
+#endif
+
+/// \internal EIGEN_COMP_ARM set to 1 if the compiler is ARM Compiler
+#if defined(__CC_ARM) || defined(__ARMCC_VERSION)
+  #define EIGEN_COMP_ARM 1
+#else
+  #define EIGEN_COMP_ARM 0
+#endif
+
+/// \internal EIGEN_COMP_ARM set to 1 if the compiler is ARM Compiler
+#if defined(__EMSCRIPTEN__)
+  #define EIGEN_COMP_EMSCRIPTEN 1
+#else
+  #define EIGEN_COMP_EMSCRIPTEN 0
+#endif
+
+
+/// \internal EIGEN_GNUC_STRICT set to 1 if the compiler is really GCC and not a compatible compiler (e.g., ICC, clang, mingw, etc.)
+#if EIGEN_COMP_GNUC && !(EIGEN_COMP_CLANG || EIGEN_COMP_ICC || EIGEN_COMP_MINGW || EIGEN_COMP_PGI || EIGEN_COMP_IBM || EIGEN_COMP_ARM || EIGEN_COMP_EMSCRIPTEN)
+  #define EIGEN_COMP_GNUC_STRICT 1
+#else
+  #define EIGEN_COMP_GNUC_STRICT 0
+#endif
+
+
+#if EIGEN_COMP_GNUC
+  #define EIGEN_GNUC_AT_LEAST(x,y) ((__GNUC__==x && __GNUC_MINOR__>=y) || __GNUC__>x)
+  #define EIGEN_GNUC_AT_MOST(x,y)  ((__GNUC__==x && __GNUC_MINOR__<=y) || __GNUC__<x)
+  #define EIGEN_GNUC_AT(x,y)       ( __GNUC__==x && __GNUC_MINOR__==y )
+#else
+  #define EIGEN_GNUC_AT_LEAST(x,y) 0
+  #define EIGEN_GNUC_AT_MOST(x,y)  0
+  #define EIGEN_GNUC_AT(x,y)       0
+#endif
+
+// FIXME: could probably be removed as we do not support gcc 3.x anymore
+#if EIGEN_COMP_GNUC && (__GNUC__ <= 3)
+#define EIGEN_GCC3_OR_OLDER 1
+#else
+#define EIGEN_GCC3_OR_OLDER 0
+#endif
+
+
+// Architecture identification, EIGEN_ARCH_*
+
+#if defined(__x86_64__) || defined(_M_X64) || defined(__amd64)
+  #define EIGEN_ARCH_x86_64 1
+#else
+  #define EIGEN_ARCH_x86_64 0
+#endif
+
+#if defined(__i386__) || defined(_M_IX86) || defined(_X86_) || defined(__i386)
+  #define EIGEN_ARCH_i386 1
+#else
+  #define EIGEN_ARCH_i386 0
+#endif
+
+#if EIGEN_ARCH_x86_64 || EIGEN_ARCH_i386
+  #define EIGEN_ARCH_i386_OR_x86_64 1
+#else
+  #define EIGEN_ARCH_i386_OR_x86_64 0
+#endif
+
+/// \internal EIGEN_ARCH_ARM set to 1 if the architecture is ARM
+#if defined(__arm__)
+  #define EIGEN_ARCH_ARM 1
+#else
+  #define EIGEN_ARCH_ARM 0
+#endif
+
+/// \internal EIGEN_ARCH_ARM64 set to 1 if the architecture is ARM64
+#if defined(__aarch64__)
+  #define EIGEN_ARCH_ARM64 1
+#else
+  #define EIGEN_ARCH_ARM64 0
+#endif
+
+#if EIGEN_ARCH_ARM || EIGEN_ARCH_ARM64
+  #define EIGEN_ARCH_ARM_OR_ARM64 1
+#else
+  #define EIGEN_ARCH_ARM_OR_ARM64 0
+#endif
+
+/// \internal EIGEN_ARCH_MIPS set to 1 if the architecture is MIPS
+#if defined(__mips__) || defined(__mips)
+  #define EIGEN_ARCH_MIPS 1
+#else
+  #define EIGEN_ARCH_MIPS 0
+#endif
+
+/// \internal EIGEN_ARCH_SPARC set to 1 if the architecture is SPARC
+#if defined(__sparc__) || defined(__sparc)
+  #define EIGEN_ARCH_SPARC 1
+#else
+  #define EIGEN_ARCH_SPARC 0
+#endif
+
+/// \internal EIGEN_ARCH_IA64 set to 1 if the architecture is Intel Itanium
+#if defined(__ia64__)
+  #define EIGEN_ARCH_IA64 1
+#else
+  #define EIGEN_ARCH_IA64 0
+#endif
+
+/// \internal EIGEN_ARCH_PPC set to 1 if the architecture is PowerPC
+#if defined(__powerpc__) || defined(__ppc__) || defined(_M_PPC)
+  #define EIGEN_ARCH_PPC 1
+#else
+  #define EIGEN_ARCH_PPC 0
+#endif
+
+
+
+// Operating system identification, EIGEN_OS_*
+
+/// \internal EIGEN_OS_UNIX set to 1 if the OS is a unix variant
+#if defined(__unix__) || defined(__unix)
+  #define EIGEN_OS_UNIX 1
+#else
+  #define EIGEN_OS_UNIX 0
+#endif
+
+/// \internal EIGEN_OS_LINUX set to 1 if the OS is based on Linux kernel
+#if defined(__linux__)
+  #define EIGEN_OS_LINUX 1
+#else
+  #define EIGEN_OS_LINUX 0
+#endif
+
+/// \internal EIGEN_OS_ANDROID set to 1 if the OS is Android
+// note: ANDROID is defined when using ndk_build, __ANDROID__ is defined when using a standalone toolchain.
+#if defined(__ANDROID__) || defined(ANDROID)
+  #define EIGEN_OS_ANDROID 1
+#else
+  #define EIGEN_OS_ANDROID 0
+#endif
+
+/// \internal EIGEN_OS_GNULINUX set to 1 if the OS is GNU Linux and not Linux-based OS (e.g., not android)
+#if defined(__gnu_linux__) && !(EIGEN_OS_ANDROID)
+  #define EIGEN_OS_GNULINUX 1
+#else
+  #define EIGEN_OS_GNULINUX 0
+#endif
+
+/// \internal EIGEN_OS_BSD set to 1 if the OS is a BSD variant
+#if defined(__FreeBSD__) || defined(__NetBSD__) || defined(__OpenBSD__) || defined(__bsdi__) || defined(__DragonFly__)
+  #define EIGEN_OS_BSD 1
+#else
+  #define EIGEN_OS_BSD 0
+#endif
+
+/// \internal EIGEN_OS_MAC set to 1 if the OS is MacOS
+#if defined(__APPLE__)
+  #define EIGEN_OS_MAC 1
+#else
+  #define EIGEN_OS_MAC 0
+#endif
+
+/// \internal EIGEN_OS_QNX set to 1 if the OS is QNX
+#if defined(__QNX__)
+  #define EIGEN_OS_QNX 1
+#else
+  #define EIGEN_OS_QNX 0
+#endif
+
+/// \internal EIGEN_OS_WIN set to 1 if the OS is Windows based
+#if defined(_WIN32)
+  #define EIGEN_OS_WIN 1
+#else
+  #define EIGEN_OS_WIN 0
+#endif
+
+/// \internal EIGEN_OS_WIN64 set to 1 if the OS is Windows 64bits
+#if defined(_WIN64)
+  #define EIGEN_OS_WIN64 1
+#else
+  #define EIGEN_OS_WIN64 0
+#endif
+
+/// \internal EIGEN_OS_WINCE set to 1 if the OS is Windows CE
+#if defined(_WIN32_WCE)
+  #define EIGEN_OS_WINCE 1
+#else
+  #define EIGEN_OS_WINCE 0
+#endif
+
+/// \internal EIGEN_OS_CYGWIN set to 1 if the OS is Windows/Cygwin
+#if defined(__CYGWIN__)
+  #define EIGEN_OS_CYGWIN 1
+#else
+  #define EIGEN_OS_CYGWIN 0
+#endif
+
+/// \internal EIGEN_OS_WIN_STRICT set to 1 if the OS is really Windows and not some variants
+#if EIGEN_OS_WIN && !( EIGEN_OS_WINCE || EIGEN_OS_CYGWIN )
+  #define EIGEN_OS_WIN_STRICT 1
+#else
+  #define EIGEN_OS_WIN_STRICT 0
+#endif
+
+/// \internal EIGEN_OS_SUN set to 1 if the OS is SUN
+#if (defined(sun) || defined(__sun)) && !(defined(__SVR4) || defined(__svr4__))
+  #define EIGEN_OS_SUN 1
+#else
+  #define EIGEN_OS_SUN 0
+#endif
+
+/// \internal EIGEN_OS_SOLARIS set to 1 if the OS is Solaris
+#if (defined(sun) || defined(__sun)) && (defined(__SVR4) || defined(__svr4__))
+  #define EIGEN_OS_SOLARIS 1
+#else
+  #define EIGEN_OS_SOLARIS 0
+#endif
+
+
+
+#if EIGEN_GNUC_AT_MOST(4,3) && !EIGEN_COMP_CLANG
+  // see bug 89
+  #define EIGEN_SAFE_TO_USE_STANDARD_ASSERT_MACRO 0
+#else
+  #define EIGEN_SAFE_TO_USE_STANDARD_ASSERT_MACRO 1
+#endif
+
+// This macro can be used to prevent from macro expansion, e.g.:
+//   std::max EIGEN_NOT_A_MACRO(a,b)
+#define EIGEN_NOT_A_MACRO
+
+#ifdef EIGEN_DEFAULT_TO_ROW_MAJOR
+#define EIGEN_DEFAULT_MATRIX_STORAGE_ORDER_OPTION Eigen::RowMajor
+#else
+#define EIGEN_DEFAULT_MATRIX_STORAGE_ORDER_OPTION Eigen::ColMajor
+#endif
+
+#ifndef EIGEN_DEFAULT_DENSE_INDEX_TYPE
+#define EIGEN_DEFAULT_DENSE_INDEX_TYPE std::ptrdiff_t
+#endif
+
+// Cross compiler wrapper around LLVM's __has_builtin
+#ifdef __has_builtin
+#  define EIGEN_HAS_BUILTIN(x) __has_builtin(x)
+#else
+#  define EIGEN_HAS_BUILTIN(x) 0
+#endif
+
+// A Clang feature extension to determine compiler features.
+// We use it to determine 'cxx_rvalue_references'
+#ifndef __has_feature
+# define __has_feature(x) 0
+#endif
+
+// Upperbound on the C++ version to use.
+// Expected values are 03, 11, 14, 17, etc.
+// By default, let's use an arbitrarily large C++ version.
+#ifndef EIGEN_MAX_CPP_VER
+#define EIGEN_MAX_CPP_VER 99
+#endif
+
+#if EIGEN_MAX_CPP_VER>=11 && (defined(__cplusplus) && (__cplusplus >= 201103L) || EIGEN_COMP_MSVC >= 1900)
+#define EIGEN_HAS_CXX11 1
+#else
+#define EIGEN_HAS_CXX11 0
+#endif
+
+
+// Do we support r-value references?
+#ifndef EIGEN_HAS_RVALUE_REFERENCES
+#if EIGEN_MAX_CPP_VER>=11 && \
+    (__has_feature(cxx_rvalue_references) || \
+    (defined(__cplusplus) && __cplusplus >= 201103L) || \
+    (EIGEN_COMP_MSVC >= 1600))
+  #define EIGEN_HAS_RVALUE_REFERENCES 1
+#else
+  #define EIGEN_HAS_RVALUE_REFERENCES 0
+#endif
+#endif
+
+// Does the compiler support C99?
+#ifndef EIGEN_HAS_C99_MATH
+#if EIGEN_MAX_CPP_VER>=11 && \
+    ((defined(__STDC_VERSION__) && (__STDC_VERSION__ >= 199901))       \
+  || (defined(__GNUC__) && defined(_GLIBCXX_USE_C99)) \
+  || (defined(_LIBCPP_VERSION) && !defined(_MSC_VER)) \
+  || (EIGEN_COMP_MSVC >= 1900) )
+  #define EIGEN_HAS_C99_MATH 1
+#else
+  #define EIGEN_HAS_C99_MATH 0
+#endif
+#endif
+
+// Does the compiler support result_of?
+#ifndef EIGEN_HAS_STD_RESULT_OF
+#if EIGEN_MAX_CPP_VER>=11 && ((__has_feature(cxx_lambdas) || (defined(__cplusplus) && __cplusplus >= 201103L)))
+#define EIGEN_HAS_STD_RESULT_OF 1
+#else
+#define EIGEN_HAS_STD_RESULT_OF 0
+#endif
+#endif
+
+// Does the compiler support type_traits?
+// - full support of type traits was added only to GCC 5.1.0.
+// - 20150626 corresponds to the last release of 4.x libstdc++
+#ifndef EIGEN_HAS_TYPE_TRAITS
+#if EIGEN_MAX_CPP_VER>=11 && (EIGEN_HAS_CXX11 || EIGEN_COMP_MSVC >= 1700) \
+  && ((!EIGEN_COMP_GNUC_STRICT) || EIGEN_GNUC_AT_LEAST(5, 1)) \
+  && ((!defined(__GLIBCXX__))   || __GLIBCXX__ > 20150626)
+#define EIGEN_HAS_TYPE_TRAITS 1
+#define EIGEN_INCLUDE_TYPE_TRAITS
+#else
+#define EIGEN_HAS_TYPE_TRAITS 0
+#endif
+#endif
+
+// Does the compiler support variadic templates?
+#ifndef EIGEN_HAS_VARIADIC_TEMPLATES
+#if EIGEN_MAX_CPP_VER>=11 && (__cplusplus > 199711L || EIGEN_COMP_MSVC >= 1900) \
+  && (!defined(__NVCC__) || !EIGEN_ARCH_ARM_OR_ARM64 || (EIGEN_CUDACC_VER >= 80000) )
+    // ^^ Disable the use of variadic templates when compiling with versions of nvcc older than 8.0 on ARM devices:
+    //    this prevents nvcc from crashing when compiling Eigen on Tegra X1
+#define EIGEN_HAS_VARIADIC_TEMPLATES 1
+#else
+#define EIGEN_HAS_VARIADIC_TEMPLATES 0
+#endif
+#endif
+
+// Does the compiler fully support const expressions? (as in c++14)
+#ifndef EIGEN_HAS_CONSTEXPR
+
+#ifdef __CUDACC__
+// Const expressions are supported provided that c++11 is enabled and we're using either clang or nvcc 7.5 or above
+#if EIGEN_MAX_CPP_VER>=14 && (__cplusplus > 199711L && (EIGEN_COMP_CLANG || EIGEN_CUDACC_VER >= 70500))
+  #define EIGEN_HAS_CONSTEXPR 1
+#endif
+#elif EIGEN_MAX_CPP_VER>=14 && (__has_feature(cxx_relaxed_constexpr) || (defined(__cplusplus) && __cplusplus >= 201402L) || \
+  (EIGEN_GNUC_AT_LEAST(4,8) && (__cplusplus > 199711L)))
+#define EIGEN_HAS_CONSTEXPR 1
+#endif
+
+#ifndef EIGEN_HAS_CONSTEXPR
+#define EIGEN_HAS_CONSTEXPR 0
+#endif
+
+#endif
+
+// Does the compiler support C++11 math?
+// Let's be conservative and enable the default C++11 implementation only if we are sure it exists
+#ifndef EIGEN_HAS_CXX11_MATH
+  #if EIGEN_MAX_CPP_VER>=11 && ((__cplusplus > 201103L) || (__cplusplus >= 201103L) && (EIGEN_COMP_GNUC_STRICT || EIGEN_COMP_CLANG || EIGEN_COMP_MSVC || EIGEN_COMP_ICC)  \
+      && (EIGEN_ARCH_i386_OR_x86_64) && (EIGEN_OS_GNULINUX || EIGEN_OS_WIN_STRICT || EIGEN_OS_MAC))
+    #define EIGEN_HAS_CXX11_MATH 1
+  #else
+    #define EIGEN_HAS_CXX11_MATH 0
+  #endif
+#endif
+
+// Does the compiler support proper C++11 containers?
+#ifndef EIGEN_HAS_CXX11_CONTAINERS
+  #if    EIGEN_MAX_CPP_VER>=11 && \
+         ((__cplusplus > 201103L) \
+      || ((__cplusplus >= 201103L) && (EIGEN_COMP_GNUC_STRICT || EIGEN_COMP_CLANG || EIGEN_COMP_ICC>=1400)) \
+      || EIGEN_COMP_MSVC >= 1900)
+    #define EIGEN_HAS_CXX11_CONTAINERS 1
+  #else
+    #define EIGEN_HAS_CXX11_CONTAINERS 0
+  #endif
+#endif
+
+// Does the compiler support C++11 noexcept?
+#ifndef EIGEN_HAS_CXX11_NOEXCEPT
+  #if    EIGEN_MAX_CPP_VER>=11 && \
+         (__has_feature(cxx_noexcept) \
+      || (__cplusplus > 201103L) \
+      || ((__cplusplus >= 201103L) && (EIGEN_COMP_GNUC_STRICT || EIGEN_COMP_CLANG || EIGEN_COMP_ICC>=1400)) \
+      || EIGEN_COMP_MSVC >= 1900)
+    #define EIGEN_HAS_CXX11_NOEXCEPT 1
+  #else
+    #define EIGEN_HAS_CXX11_NOEXCEPT 0
+  #endif
+#endif
+
+/** Allows to disable some optimizations which might affect the accuracy of the result.
+  * Such optimization are enabled by default, and set EIGEN_FAST_MATH to 0 to disable them.
+  * They currently include:
+  *   - single precision ArrayBase::sin() and ArrayBase::cos() for SSE and AVX vectorization.
+  */
+#ifndef EIGEN_FAST_MATH
+#define EIGEN_FAST_MATH 1
+#endif
+
+#define EIGEN_DEBUG_VAR(x) std::cerr << #x << " = " << x << std::endl;
+
+// concatenate two tokens
+#define EIGEN_CAT2(a,b) a ## b
+#define EIGEN_CAT(a,b) EIGEN_CAT2(a,b)
+
+#define EIGEN_COMMA ,
+
+// convert a token to a string
+#define EIGEN_MAKESTRING2(a) #a
+#define EIGEN_MAKESTRING(a) EIGEN_MAKESTRING2(a)
+
+// EIGEN_STRONG_INLINE is a stronger version of the inline, using __forceinline on MSVC,
+// but it still doesn't use GCC's always_inline. This is useful in (common) situations where MSVC needs forceinline
+// but GCC is still doing fine with just inline.
+#ifndef EIGEN_STRONG_INLINE
+#if EIGEN_COMP_MSVC || EIGEN_COMP_ICC
+#define EIGEN_STRONG_INLINE __forceinline
+#else
+#define EIGEN_STRONG_INLINE inline
+#endif
+#endif
+
+// EIGEN_ALWAYS_INLINE is the stronget, it has the effect of making the function inline and adding every possible
+// attribute to maximize inlining. This should only be used when really necessary: in particular,
+// it uses __attribute__((always_inline)) on GCC, which most of the time is useless and can severely harm compile times.
+// FIXME with the always_inline attribute,
+// gcc 3.4.x and 4.1 reports the following compilation error:
+//   Eval.h:91: sorry, unimplemented: inlining failed in call to 'const Eigen::Eval<Derived> Eigen::MatrixBase<Scalar, Derived>::eval() const'
+//    : function body not available
+//   See also bug 1367
+#if EIGEN_GNUC_AT_LEAST(4,2)
+#define EIGEN_ALWAYS_INLINE __attribute__((always_inline)) inline
+#else
+#define EIGEN_ALWAYS_INLINE EIGEN_STRONG_INLINE
+#endif
+
+#if EIGEN_COMP_GNUC
+#define EIGEN_DONT_INLINE __attribute__((noinline))
+#elif EIGEN_COMP_MSVC
+#define EIGEN_DONT_INLINE __declspec(noinline)
+#else
+#define EIGEN_DONT_INLINE
+#endif
+
+#if EIGEN_COMP_GNUC
+#define EIGEN_PERMISSIVE_EXPR __extension__
+#else
+#define EIGEN_PERMISSIVE_EXPR
+#endif
+
+// this macro allows to get rid of linking errors about multiply defined functions.
+//  - static is not very good because it prevents definitions from different object files to be merged.
+//           So static causes the resulting linked executable to be bloated with multiple copies of the same function.
+//  - inline is not perfect either as it unwantedly hints the compiler toward inlining the function.
+#define EIGEN_DECLARE_FUNCTION_ALLOWING_MULTIPLE_DEFINITIONS
+#define EIGEN_DEFINE_FUNCTION_ALLOWING_MULTIPLE_DEFINITIONS inline
+
+#ifdef NDEBUG
+# ifndef EIGEN_NO_DEBUG
+#  define EIGEN_NO_DEBUG
+# endif
+#endif
+
+// eigen_plain_assert is where we implement the workaround for the assert() bug in GCC <= 4.3, see bug 89
+#ifdef EIGEN_NO_DEBUG
+  #define eigen_plain_assert(x)
+#else
+  #if EIGEN_SAFE_TO_USE_STANDARD_ASSERT_MACRO
+    namespace Eigen {
+    namespace internal {
+    inline bool copy_bool(bool b) { return b; }
+    }
+    }
+    #define eigen_plain_assert(x) assert(x)
+  #else
+    // work around bug 89
+    #include <cstdlib>   // for abort
+    #include <iostream>  // for std::cerr
+
+    namespace Eigen {
+    namespace internal {
+    // trivial function copying a bool. Must be EIGEN_DONT_INLINE, so we implement it after including Eigen headers.
+    // see bug 89.
+    namespace {
+    EIGEN_DONT_INLINE bool copy_bool(bool b) { return b; }
+    }
+    inline void assert_fail(const char *condition, const char *function, const char *file, int line)
+    {
+      std::cerr << "assertion failed: " << condition << " in function " << function << " at " << file << ":" << line << std::endl;
+      abort();
+    }
+    }
+    }
+    #define eigen_plain_assert(x) \
+      do { \
+        if(!Eigen::internal::copy_bool(x)) \
+          Eigen::internal::assert_fail(EIGEN_MAKESTRING(x), __PRETTY_FUNCTION__, __FILE__, __LINE__); \
+      } while(false)
+  #endif
+#endif
+
+// eigen_assert can be overridden
+#ifndef eigen_assert
+#define eigen_assert(x) eigen_plain_assert(x)
+#endif
+
+#ifdef EIGEN_INTERNAL_DEBUGGING
+#define eigen_internal_assert(x) eigen_assert(x)
+#else
+#define eigen_internal_assert(x)
+#endif
+
+#ifdef EIGEN_NO_DEBUG
+#define EIGEN_ONLY_USED_FOR_DEBUG(x) EIGEN_UNUSED_VARIABLE(x)
+#else
+#define EIGEN_ONLY_USED_FOR_DEBUG(x)
+#endif
+
+#ifndef EIGEN_NO_DEPRECATED_WARNING
+  #if EIGEN_COMP_GNUC
+    #define EIGEN_DEPRECATED __attribute__((deprecated))
+  #elif EIGEN_COMP_MSVC
+    #define EIGEN_DEPRECATED __declspec(deprecated)
+  #else
+    #define EIGEN_DEPRECATED
+  #endif
+#else
+  #define EIGEN_DEPRECATED
+#endif
+
+#if EIGEN_COMP_GNUC
+#define EIGEN_UNUSED __attribute__((unused))
+#else
+#define EIGEN_UNUSED
+#endif
+
+// Suppresses 'unused variable' warnings.
+namespace Eigen {
+  namespace internal {
+    template<typename T> EIGEN_DEVICE_FUNC void ignore_unused_variable(const T&) {}
+  }
+}
+#define EIGEN_UNUSED_VARIABLE(var) Eigen::internal::ignore_unused_variable(var);
+
+#if !defined(EIGEN_ASM_COMMENT)
+  #if EIGEN_COMP_GNUC && (EIGEN_ARCH_i386_OR_x86_64 || EIGEN_ARCH_ARM_OR_ARM64)
+    #define EIGEN_ASM_COMMENT(X)  __asm__("#" X)
+  #else
+    #define EIGEN_ASM_COMMENT(X)
+  #endif
+#endif
+
+
+//------------------------------------------------------------------------------------------
+// Static and dynamic alignment control
+//
+// The main purpose of this section is to define EIGEN_MAX_ALIGN_BYTES and EIGEN_MAX_STATIC_ALIGN_BYTES
+// as the maximal boundary in bytes on which dynamically and statically allocated data may be alignment respectively.
+// The values of EIGEN_MAX_ALIGN_BYTES and EIGEN_MAX_STATIC_ALIGN_BYTES can be specified by the user. If not,
+// a default value is automatically computed based on architecture, compiler, and OS.
+//
+// This section also defines macros EIGEN_ALIGN_TO_BOUNDARY(N) and the shortcuts EIGEN_ALIGN{8,16,32,_MAX}
+// to be used to declare statically aligned buffers.
+//------------------------------------------------------------------------------------------
+
+
+/* EIGEN_ALIGN_TO_BOUNDARY(n) forces data to be n-byte aligned. This is used to satisfy SIMD requirements.
+ * However, we do that EVEN if vectorization (EIGEN_VECTORIZE) is disabled,
+ * so that vectorization doesn't affect binary compatibility.
+ *
+ * If we made alignment depend on whether or not EIGEN_VECTORIZE is defined, it would be impossible to link
+ * vectorized and non-vectorized code.
+ */
+#if (defined __CUDACC__)
+  #define EIGEN_ALIGN_TO_BOUNDARY(n) __align__(n)
+#elif EIGEN_COMP_GNUC || EIGEN_COMP_PGI || EIGEN_COMP_IBM || EIGEN_COMP_ARM
+  #define EIGEN_ALIGN_TO_BOUNDARY(n) __attribute__((aligned(n)))
+#elif EIGEN_COMP_MSVC
+  #define EIGEN_ALIGN_TO_BOUNDARY(n) __declspec(align(n))
+#elif EIGEN_COMP_SUNCC
+  // FIXME not sure about this one:
+  #define EIGEN_ALIGN_TO_BOUNDARY(n) __attribute__((aligned(n)))
+#else
+  #error Please tell me what is the equivalent of __attribute__((aligned(n))) for your compiler
+#endif
+
+// If the user explicitly disable vectorization, then we also disable alignment
+#if defined(EIGEN_DONT_VECTORIZE)
+  #define EIGEN_IDEAL_MAX_ALIGN_BYTES 0
+#elif defined(EIGEN_VECTORIZE_AVX512)
+  // 64 bytes static alignmeent is preferred only if really required
+  #define EIGEN_IDEAL_MAX_ALIGN_BYTES 64
+#elif defined(__AVX__)
+  // 32 bytes static alignmeent is preferred only if really required
+  #define EIGEN_IDEAL_MAX_ALIGN_BYTES 32
+#else
+  #define EIGEN_IDEAL_MAX_ALIGN_BYTES 16
+#endif
+
+
+// EIGEN_MIN_ALIGN_BYTES defines the minimal value for which the notion of explicit alignment makes sense
+#define EIGEN_MIN_ALIGN_BYTES 16
+
+// Defined the boundary (in bytes) on which the data needs to be aligned. Note
+// that unless EIGEN_ALIGN is defined and not equal to 0, the data may not be
+// aligned at all regardless of the value of this #define.
+
+#if (defined(EIGEN_DONT_ALIGN_STATICALLY) || defined(EIGEN_DONT_ALIGN))  && defined(EIGEN_MAX_STATIC_ALIGN_BYTES) && EIGEN_MAX_STATIC_ALIGN_BYTES>0
+#error EIGEN_MAX_STATIC_ALIGN_BYTES and EIGEN_DONT_ALIGN[_STATICALLY] are both defined with EIGEN_MAX_STATIC_ALIGN_BYTES!=0. Use EIGEN_MAX_STATIC_ALIGN_BYTES=0 as a synonym of EIGEN_DONT_ALIGN_STATICALLY.
+#endif
+
+// EIGEN_DONT_ALIGN_STATICALLY and EIGEN_DONT_ALIGN are deprectated
+// They imply EIGEN_MAX_STATIC_ALIGN_BYTES=0
+#if defined(EIGEN_DONT_ALIGN_STATICALLY) || defined(EIGEN_DONT_ALIGN)
+  #ifdef EIGEN_MAX_STATIC_ALIGN_BYTES
+    #undef EIGEN_MAX_STATIC_ALIGN_BYTES
+  #endif
+  #define EIGEN_MAX_STATIC_ALIGN_BYTES 0
+#endif
+
+#ifndef EIGEN_MAX_STATIC_ALIGN_BYTES
+
+  // Try to automatically guess what is the best default value for EIGEN_MAX_STATIC_ALIGN_BYTES
+
+  // 16 byte alignment is only useful for vectorization. Since it affects the ABI, we need to enable
+  // 16 byte alignment on all platforms where vectorization might be enabled. In theory we could always
+  // enable alignment, but it can be a cause of problems on some platforms, so we just disable it in
+  // certain common platform (compiler+architecture combinations) to avoid these problems.
+  // Only static alignment is really problematic (relies on nonstandard compiler extensions),
+  // try to keep heap alignment even when we have to disable static alignment.
+  #if EIGEN_COMP_GNUC && !(EIGEN_ARCH_i386_OR_x86_64 || EIGEN_ARCH_ARM_OR_ARM64 || EIGEN_ARCH_PPC || EIGEN_ARCH_IA64)
+  #define EIGEN_GCC_AND_ARCH_DOESNT_WANT_STACK_ALIGNMENT 1
+  #elif EIGEN_ARCH_ARM_OR_ARM64 && EIGEN_COMP_GNUC_STRICT && EIGEN_GNUC_AT_MOST(4, 6)
+  // Old versions of GCC on ARM, at least 4.4, were once seen to have buggy static alignment support.
+  // Not sure which version fixed it, hopefully it doesn't affect 4.7, which is still somewhat in use.
+  // 4.8 and newer seem definitely unaffected.
+  #define EIGEN_GCC_AND_ARCH_DOESNT_WANT_STACK_ALIGNMENT 1
+  #else
+  #define EIGEN_GCC_AND_ARCH_DOESNT_WANT_STACK_ALIGNMENT 0
+  #endif
+
+  // static alignment is completely disabled with GCC 3, Sun Studio, and QCC/QNX
+  #if !EIGEN_GCC_AND_ARCH_DOESNT_WANT_STACK_ALIGNMENT \
+  && !EIGEN_GCC3_OR_OLDER \
+  && !EIGEN_COMP_SUNCC \
+  && !EIGEN_OS_QNX
+    #define EIGEN_ARCH_WANTS_STACK_ALIGNMENT 1
+  #else
+    #define EIGEN_ARCH_WANTS_STACK_ALIGNMENT 0
+  #endif
+
+  #if EIGEN_ARCH_WANTS_STACK_ALIGNMENT
+    #define EIGEN_MAX_STATIC_ALIGN_BYTES EIGEN_IDEAL_MAX_ALIGN_BYTES
+  #else
+    #define EIGEN_MAX_STATIC_ALIGN_BYTES 0
+  #endif
+
+#endif
+
+// If EIGEN_MAX_ALIGN_BYTES is defined, then it is considered as an upper bound for EIGEN_MAX_ALIGN_BYTES
+#if defined(EIGEN_MAX_ALIGN_BYTES) && EIGEN_MAX_ALIGN_BYTES<EIGEN_MAX_STATIC_ALIGN_BYTES
+#undef EIGEN_MAX_STATIC_ALIGN_BYTES
+#define EIGEN_MAX_STATIC_ALIGN_BYTES EIGEN_MAX_ALIGN_BYTES
+#endif
+
+#if EIGEN_MAX_STATIC_ALIGN_BYTES==0 && !defined(EIGEN_DISABLE_UNALIGNED_ARRAY_ASSERT)
+  #define EIGEN_DISABLE_UNALIGNED_ARRAY_ASSERT
+#endif
+
+// At this stage, EIGEN_MAX_STATIC_ALIGN_BYTES>0 is the true test whether we want to align arrays on the stack or not.
+// It takes into account both the user choice to explicitly enable/disable alignment (by settting EIGEN_MAX_STATIC_ALIGN_BYTES)
+// and the architecture config (EIGEN_ARCH_WANTS_STACK_ALIGNMENT).
+// Henceforth, only EIGEN_MAX_STATIC_ALIGN_BYTES should be used.
+
+
+// Shortcuts to EIGEN_ALIGN_TO_BOUNDARY
+#define EIGEN_ALIGN8  EIGEN_ALIGN_TO_BOUNDARY(8)
+#define EIGEN_ALIGN16 EIGEN_ALIGN_TO_BOUNDARY(16)
+#define EIGEN_ALIGN32 EIGEN_ALIGN_TO_BOUNDARY(32)
+#define EIGEN_ALIGN64 EIGEN_ALIGN_TO_BOUNDARY(64)
+#if EIGEN_MAX_STATIC_ALIGN_BYTES>0
+#define EIGEN_ALIGN_MAX EIGEN_ALIGN_TO_BOUNDARY(EIGEN_MAX_STATIC_ALIGN_BYTES)
+#else
+#define EIGEN_ALIGN_MAX
+#endif
+
+
+// Dynamic alignment control
+
+#if defined(EIGEN_DONT_ALIGN) && defined(EIGEN_MAX_ALIGN_BYTES) && EIGEN_MAX_ALIGN_BYTES>0
+#error EIGEN_MAX_ALIGN_BYTES and EIGEN_DONT_ALIGN are both defined with EIGEN_MAX_ALIGN_BYTES!=0. Use EIGEN_MAX_ALIGN_BYTES=0 as a synonym of EIGEN_DONT_ALIGN.
+#endif
+
+#ifdef EIGEN_DONT_ALIGN
+  #ifdef EIGEN_MAX_ALIGN_BYTES
+    #undef EIGEN_MAX_ALIGN_BYTES
+  #endif
+  #define EIGEN_MAX_ALIGN_BYTES 0
+#elif !defined(EIGEN_MAX_ALIGN_BYTES)
+  #define EIGEN_MAX_ALIGN_BYTES EIGEN_IDEAL_MAX_ALIGN_BYTES
+#endif
+
+#if EIGEN_IDEAL_MAX_ALIGN_BYTES > EIGEN_MAX_ALIGN_BYTES
+#define EIGEN_DEFAULT_ALIGN_BYTES EIGEN_IDEAL_MAX_ALIGN_BYTES
+#else
+#define EIGEN_DEFAULT_ALIGN_BYTES EIGEN_MAX_ALIGN_BYTES
+#endif
+
+
+#ifndef EIGEN_UNALIGNED_VECTORIZE
+#define EIGEN_UNALIGNED_VECTORIZE 1
+#endif
+
+//----------------------------------------------------------------------
+
+
+#ifdef EIGEN_DONT_USE_RESTRICT_KEYWORD
+  #define EIGEN_RESTRICT
+#endif
+#ifndef EIGEN_RESTRICT
+  #define EIGEN_RESTRICT __restrict
+#endif
+
+#ifndef EIGEN_STACK_ALLOCATION_LIMIT
+// 131072 == 128 KB
+#define EIGEN_STACK_ALLOCATION_LIMIT 131072
+#endif
+
+#ifndef EIGEN_DEFAULT_IO_FORMAT
+#ifdef EIGEN_MAKING_DOCS
+// format used in Eigen's documentation
+// needed to define it here as escaping characters in CMake add_definition's argument seems very problematic.
+#define EIGEN_DEFAULT_IO_FORMAT Eigen::IOFormat(3, 0, " ", "\n", "", "")
+#else
+#define EIGEN_DEFAULT_IO_FORMAT Eigen::IOFormat()
+#endif
+#endif
+
+// just an empty macro !
+#define EIGEN_EMPTY
+
+#if EIGEN_COMP_MSVC_STRICT && (EIGEN_COMP_MSVC < 1900 || EIGEN_CUDACC_VER>0)
+  // for older MSVC versions, as well as 1900 && CUDA 8, using the base operator is sufficient (cf Bugs 1000, 1324)
+  #define EIGEN_INHERIT_ASSIGNMENT_EQUAL_OPERATOR(Derived) \
+    using Base::operator =;
+#elif EIGEN_COMP_CLANG // workaround clang bug (see http://forum.kde.org/viewtopic.php?f=74&t=102653)
+  #define EIGEN_INHERIT_ASSIGNMENT_EQUAL_OPERATOR(Derived) \
+    using Base::operator =; \
+    EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE Derived& operator=(const Derived& other) { Base::operator=(other); return *this; } \
+    template <typename OtherDerived> \
+    EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE Derived& operator=(const DenseBase<OtherDerived>& other) { Base::operator=(other.derived()); return *this; }
+#else
+  #define EIGEN_INHERIT_ASSIGNMENT_EQUAL_OPERATOR(Derived) \
+    using Base::operator =; \
+    EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE Derived& operator=(const Derived& other) \
+    { \
+      Base::operator=(other); \
+      return *this; \
+    }
+#endif
+
+
+/**
+ * \internal
+ * \brief Macro to explicitly define the default copy constructor.
+ * This is necessary, because the implicit definition is deprecated if the copy-assignment is overridden.
+ */
+#if EIGEN_HAS_CXX11
+#define EIGEN_DEFAULT_COPY_CONSTRUCTOR(CLASS) EIGEN_DEVICE_FUNC CLASS(const CLASS&) = default;
+#else
+#define EIGEN_DEFAULT_COPY_CONSTRUCTOR(CLASS)
+#endif
+
+
+
+/** \internal
+ * \brief Macro to manually inherit assignment operators.
+ * This is necessary, because the implicitly defined assignment operator gets deleted when a custom operator= is defined.
+ * With C++11 or later this also default-implements the copy-constructor
+ */
+#define EIGEN_INHERIT_ASSIGNMENT_OPERATORS(Derived)  \
+    EIGEN_INHERIT_ASSIGNMENT_EQUAL_OPERATOR(Derived) \
+    EIGEN_DEFAULT_COPY_CONSTRUCTOR(Derived)
+
+/** \internal
+ * \brief Macro to manually define default constructors and destructors.
+ * This is necessary when the copy constructor is re-defined.
+ * For empty helper classes this should usually be protected, to avoid accidentally creating empty objects.
+ *
+ * Hiding the default destructor lead to problems in C++03 mode together with boost::multiprecision
+ */
+#if EIGEN_HAS_CXX11
+#define EIGEN_DEFAULT_EMPTY_CONSTRUCTOR_AND_DESTRUCTOR(Derived)  \
+    EIGEN_DEVICE_FUNC Derived() = default; \
+    EIGEN_DEVICE_FUNC ~Derived() = default;
+#else
+#define EIGEN_DEFAULT_EMPTY_CONSTRUCTOR_AND_DESTRUCTOR(Derived)  \
+    EIGEN_DEVICE_FUNC Derived() {}; \
+    /* EIGEN_DEVICE_FUNC ~Derived() {}; */
+#endif
+
+
+
+
+
+/**
+* Just a side note. Commenting within defines works only by documenting
+* behind the object (via '!<'). Comments cannot be multi-line and thus
+* we have these extra long lines. What is confusing doxygen over here is
+* that we use '\' and basically have a bunch of typedefs with their
+* documentation in a single line.
+**/
+
+#define EIGEN_GENERIC_PUBLIC_INTERFACE(Derived) \
+  typedef typename Eigen::internal::traits<Derived>::Scalar Scalar; /*!< \brief Numeric type, e.g. float, double, int or std::complex<float>. */ \
+  typedef typename Eigen::NumTraits<Scalar>::Real RealScalar; /*!< \brief The underlying numeric type for composed scalar types. \details In cases where Scalar is e.g. std::complex<T>, T were corresponding to RealScalar. */ \
+  typedef typename Base::CoeffReturnType CoeffReturnType; /*!< \brief The return type for coefficient access. \details Depending on whether the object allows direct coefficient access (e.g. for a MatrixXd), this type is either 'const Scalar&' or simply 'Scalar' for objects that do not allow direct coefficient access. */ \
+  typedef typename Eigen::internal::ref_selector<Derived>::type Nested; \
+  typedef typename Eigen::internal::traits<Derived>::StorageKind StorageKind; \
+  typedef typename Eigen::internal::traits<Derived>::StorageIndex StorageIndex; \
+  enum { RowsAtCompileTime = Eigen::internal::traits<Derived>::RowsAtCompileTime, \
+        ColsAtCompileTime = Eigen::internal::traits<Derived>::ColsAtCompileTime, \
+        Flags = Eigen::internal::traits<Derived>::Flags, \
+        SizeAtCompileTime = Base::SizeAtCompileTime, \
+        MaxSizeAtCompileTime = Base::MaxSizeAtCompileTime, \
+        IsVectorAtCompileTime = Base::IsVectorAtCompileTime }; \
+  using Base::derived; \
+  using Base::const_cast_derived;
+
+
+// FIXME Maybe the EIGEN_DENSE_PUBLIC_INTERFACE could be removed as importing PacketScalar is rarely needed
+#define EIGEN_DENSE_PUBLIC_INTERFACE(Derived) \
+  EIGEN_GENERIC_PUBLIC_INTERFACE(Derived) \
+  typedef typename Base::PacketScalar PacketScalar;
+
+
+#define EIGEN_PLAIN_ENUM_MIN(a,b) (((int)a <= (int)b) ? (int)a : (int)b)
+#define EIGEN_PLAIN_ENUM_MAX(a,b) (((int)a >= (int)b) ? (int)a : (int)b)
+
+// EIGEN_SIZE_MIN_PREFER_DYNAMIC gives the min between compile-time sizes. 0 has absolute priority, followed by 1,
+// followed by Dynamic, followed by other finite values. The reason for giving Dynamic the priority over
+// finite values is that min(3, Dynamic) should be Dynamic, since that could be anything between 0 and 3.
+#define EIGEN_SIZE_MIN_PREFER_DYNAMIC(a,b) (((int)a == 0 || (int)b == 0) ? 0 \
+                           : ((int)a == 1 || (int)b == 1) ? 1 \
+                           : ((int)a == Dynamic || (int)b == Dynamic) ? Dynamic \
+                           : ((int)a <= (int)b) ? (int)a : (int)b)
+
+// EIGEN_SIZE_MIN_PREFER_FIXED is a variant of EIGEN_SIZE_MIN_PREFER_DYNAMIC comparing MaxSizes. The difference is that finite values
+// now have priority over Dynamic, so that min(3, Dynamic) gives 3. Indeed, whatever the actual value is
+// (between 0 and 3), it is not more than 3.
+#define EIGEN_SIZE_MIN_PREFER_FIXED(a,b)  (((int)a == 0 || (int)b == 0) ? 0 \
+                           : ((int)a == 1 || (int)b == 1) ? 1 \
+                           : ((int)a == Dynamic && (int)b == Dynamic) ? Dynamic \
+                           : ((int)a == Dynamic) ? (int)b \
+                           : ((int)b == Dynamic) ? (int)a \
+                           : ((int)a <= (int)b) ? (int)a : (int)b)
+
+// see EIGEN_SIZE_MIN_PREFER_DYNAMIC. No need for a separate variant for MaxSizes here.
+#define EIGEN_SIZE_MAX(a,b) (((int)a == Dynamic || (int)b == Dynamic) ? Dynamic \
+                           : ((int)a >= (int)b) ? (int)a : (int)b)
+
+#define EIGEN_LOGICAL_XOR(a,b) (((a) || (b)) && !((a) && (b)))
+
+#define EIGEN_IMPLIES(a,b) (!(a) || (b))
+
+// the expression type of a standard coefficient wise binary operation
+#define EIGEN_CWISE_BINARY_RETURN_TYPE(LHS,RHS,OPNAME) \
+    CwiseBinaryOp< \
+      EIGEN_CAT(EIGEN_CAT(internal::scalar_,OPNAME),_op)< \
+          typename internal::traits<LHS>::Scalar, \
+          typename internal::traits<RHS>::Scalar \
+      >, \
+      const LHS, \
+      const RHS \
+    >
+
+#define EIGEN_MAKE_CWISE_BINARY_OP(METHOD,OPNAME) \
+  template<typename OtherDerived> \
+  EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE const EIGEN_CWISE_BINARY_RETURN_TYPE(Derived,OtherDerived,OPNAME) \
+  (METHOD)(const EIGEN_CURRENT_STORAGE_BASE_CLASS<OtherDerived> &other) const \
+  { \
+    return EIGEN_CWISE_BINARY_RETURN_TYPE(Derived,OtherDerived,OPNAME)(derived(), other.derived()); \
+  }
+
+#define EIGEN_SCALAR_BINARY_SUPPORTED(OPNAME,TYPEA,TYPEB) \
+  (Eigen::internal::has_ReturnType<Eigen::ScalarBinaryOpTraits<TYPEA,TYPEB,EIGEN_CAT(EIGEN_CAT(Eigen::internal::scalar_,OPNAME),_op)<TYPEA,TYPEB>  > >::value)
+
+#define EIGEN_EXPR_BINARYOP_SCALAR_RETURN_TYPE(EXPR,SCALAR,OPNAME) \
+  CwiseBinaryOp<EIGEN_CAT(EIGEN_CAT(internal::scalar_,OPNAME),_op)<typename internal::traits<EXPR>::Scalar,SCALAR>, const EXPR, \
+                const typename internal::plain_constant_type<EXPR,SCALAR>::type>
+
+#define EIGEN_SCALAR_BINARYOP_EXPR_RETURN_TYPE(SCALAR,EXPR,OPNAME) \
+  CwiseBinaryOp<EIGEN_CAT(EIGEN_CAT(internal::scalar_,OPNAME),_op)<SCALAR,typename internal::traits<EXPR>::Scalar>, \
+                const typename internal::plain_constant_type<EXPR,SCALAR>::type, const EXPR>
+
+// Workaround for MSVC 2010 (see ML thread "patch with compile for for MSVC 2010")
+#if EIGEN_COMP_MSVC_STRICT<=1600
+#define EIGEN_MSVC10_WORKAROUND_BINARYOP_RETURN_TYPE(X) typename internal::enable_if<true,X>::type
+#else
+#define EIGEN_MSVC10_WORKAROUND_BINARYOP_RETURN_TYPE(X) X
+#endif
+
+#define EIGEN_MAKE_SCALAR_BINARY_OP_ONTHERIGHT(METHOD,OPNAME) \
+  template <typename T> EIGEN_DEVICE_FUNC inline \
+  EIGEN_MSVC10_WORKAROUND_BINARYOP_RETURN_TYPE(const EIGEN_EXPR_BINARYOP_SCALAR_RETURN_TYPE(Derived,typename internal::promote_scalar_arg<Scalar EIGEN_COMMA T EIGEN_COMMA EIGEN_SCALAR_BINARY_SUPPORTED(OPNAME,Scalar,T)>::type,OPNAME))\
+  (METHOD)(const T& scalar) const { \
+    typedef typename internal::promote_scalar_arg<Scalar,T,EIGEN_SCALAR_BINARY_SUPPORTED(OPNAME,Scalar,T)>::type PromotedT; \
+    return EIGEN_EXPR_BINARYOP_SCALAR_RETURN_TYPE(Derived,PromotedT,OPNAME)(derived(), \
+           typename internal::plain_constant_type<Derived,PromotedT>::type(derived().rows(), derived().cols(), internal::scalar_constant_op<PromotedT>(scalar))); \
+  }
+
+#define EIGEN_MAKE_SCALAR_BINARY_OP_ONTHELEFT(METHOD,OPNAME) \
+  template <typename T> EIGEN_DEVICE_FUNC inline friend \
+  EIGEN_MSVC10_WORKAROUND_BINARYOP_RETURN_TYPE(const EIGEN_SCALAR_BINARYOP_EXPR_RETURN_TYPE(typename internal::promote_scalar_arg<Scalar EIGEN_COMMA T EIGEN_COMMA EIGEN_SCALAR_BINARY_SUPPORTED(OPNAME,T,Scalar)>::type,Derived,OPNAME)) \
+  (METHOD)(const T& scalar, const StorageBaseType& matrix) { \
+    typedef typename internal::promote_scalar_arg<Scalar,T,EIGEN_SCALAR_BINARY_SUPPORTED(OPNAME,T,Scalar)>::type PromotedT; \
+    return EIGEN_SCALAR_BINARYOP_EXPR_RETURN_TYPE(PromotedT,Derived,OPNAME)( \
+           typename internal::plain_constant_type<Derived,PromotedT>::type(matrix.derived().rows(), matrix.derived().cols(), internal::scalar_constant_op<PromotedT>(scalar)), matrix.derived()); \
+  }
+
+#define EIGEN_MAKE_SCALAR_BINARY_OP(METHOD,OPNAME) \
+  EIGEN_MAKE_SCALAR_BINARY_OP_ONTHELEFT(METHOD,OPNAME) \
+  EIGEN_MAKE_SCALAR_BINARY_OP_ONTHERIGHT(METHOD,OPNAME)
+
+
+#ifdef EIGEN_EXCEPTIONS
+#  define EIGEN_THROW_X(X) throw X
+#  define EIGEN_THROW throw
+#  define EIGEN_TRY try
+#  define EIGEN_CATCH(X) catch (X)
+#else
+#  ifdef __CUDA_ARCH__
+#    define EIGEN_THROW_X(X) asm("trap;")
+#    define EIGEN_THROW asm("trap;")
+#  else
+#    define EIGEN_THROW_X(X) std::abort()
+#    define EIGEN_THROW std::abort()
+#  endif
+#  define EIGEN_TRY if (true)
+#  define EIGEN_CATCH(X) else
+#endif
+
+
+#if EIGEN_HAS_CXX11_NOEXCEPT
+#   define EIGEN_INCLUDE_TYPE_TRAITS
+#   define EIGEN_NOEXCEPT noexcept
+#   define EIGEN_NOEXCEPT_IF(x) noexcept(x)
+#   define EIGEN_NO_THROW noexcept(true)
+#   define EIGEN_EXCEPTION_SPEC(X) noexcept(false)
+#else
+#   define EIGEN_NOEXCEPT
+#   define EIGEN_NOEXCEPT_IF(x)
+#   define EIGEN_NO_THROW throw()
+#   if EIGEN_COMP_MSVC
+      // MSVC does not support exception specifications (warning C4290),
+      // and they are deprecated in c++11 anyway.
+#     define EIGEN_EXCEPTION_SPEC(X) throw()
+#   else
+#     define EIGEN_EXCEPTION_SPEC(X) throw(X)
+#   endif
+#endif
+
+#endif // EIGEN_MACROS_H
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/util/DisableStupidWarnings.h
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/util/DisableStupidWarnings.h	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/util/DisableStupidWarnings.h	(revision 3761)
@@ -0,0 +1,95 @@
+#ifndef EIGEN_WARNINGS_DISABLED
+#define EIGEN_WARNINGS_DISABLED
+
+#ifdef _MSC_VER
+  // 4100 - unreferenced formal parameter (occurred e.g. in aligned_allocator::destroy(pointer p))
+  // 4101 - unreferenced local variable
+  // 4181 - qualifier applied to reference type ignored
+  // 4211 - nonstandard extension used : redefined extern to static
+  // 4244 - 'argument' : conversion from 'type1' to 'type2', possible loss of data
+  // 4273 - QtAlignedMalloc, inconsistent DLL linkage
+  // 4324 - structure was padded due to declspec(align())
+  // 4503 - decorated name length exceeded, name was truncated
+  // 4512 - assignment operator could not be generated
+  // 4522 - 'class' : multiple assignment operators specified
+  // 4700 - uninitialized local variable 'xyz' used
+  // 4714 - function marked as __forceinline not inlined
+  // 4717 - 'function' : recursive on all control paths, function will cause runtime stack overflow
+  // 4800 - 'type' : forcing value to bool 'true' or 'false' (performance warning)
+  #ifndef EIGEN_PERMANENTLY_DISABLE_STUPID_WARNINGS
+    #pragma warning( push )
+  #endif
+  #pragma warning( disable : 4100 4101 4181 4211 4244 4273 4324 4503 4512 4522 4700 4714 4717 4800)
+
+#elif defined __INTEL_COMPILER
+  // 2196 - routine is both "inline" and "noinline" ("noinline" assumed)
+  //        ICC 12 generates this warning even without any inline keyword, when defining class methods 'inline' i.e. inside of class body
+  //        typedef that may be a reference type.
+  // 279  - controlling expression is constant
+  //        ICC 12 generates this warning on assert(constant_expression_depending_on_template_params) and frankly this is a legitimate use case.
+  // 1684 - conversion from pointer to same-sized integral type (potential portability problem)
+  // 2259 - non-pointer conversion from "Eigen::Index={ptrdiff_t={long}}" to "int" may lose significant bits
+  #ifndef EIGEN_PERMANENTLY_DISABLE_STUPID_WARNINGS
+    #pragma warning push
+  #endif
+  #pragma warning disable 2196 279 1684 2259
+
+#elif defined __clang__
+  // -Wconstant-logical-operand - warning: use of logical && with constant operand; switch to bitwise & or remove constant
+  //     this is really a stupid warning as it warns on compile-time expressions involving enums
+  //#ifndef EIGEN_PERMANENTLY_DISABLE_STUPID_WARNINGS
+  //  #pragma clang diagnostic push
+  //#endif
+  //#pragma clang diagnostic ignored "-Wconstant-logical-operand"
+
+#elif defined __GNUC__
+
+  // #if (!defined(EIGEN_PERMANENTLY_DISABLE_STUPID_WARNINGS)) &&  (__GNUC__ > 4 || (__GNUC__ == 4 && __GNUC_MINOR__ >= 6))
+  //   #pragma GCC diagnostic push
+  // #endif
+  // // g++ warns about local variables shadowing member functions, which is too strict
+  // #pragma GCC diagnostic ignored "-Wshadow"
+  // #if __GNUC__ == 4 && __GNUC_MINOR__ < 8
+  //   // Until g++-4.7 there are warnings when comparing unsigned int vs 0, even in templated functions:
+  //   #pragma GCC diagnostic ignored "-Wtype-limits"
+  // #endif
+  // #if __GNUC__>=6
+  //   #pragma GCC diagnostic ignored "-Wignored-attributes"
+  // #endif
+  // #if __GNUC__==7
+  //   // See: https://gcc.gnu.org/bugzilla/show_bug.cgi?id=89325
+  //   #pragma GCC diagnostic ignored "-Wattributes"
+  // #endif
+#endif
+
+#if defined __NVCC__
+  #pragma diag_suppress boolean_controlling_expr_is_constant
+  // Disable the "statement is unreachable" message
+  #pragma diag_suppress code_is_unreachable
+  // Disable the "dynamic initialization in unreachable code" message
+  #pragma diag_suppress initialization_not_reachable
+  // Disable the "invalid error number" message that we get with older versions of nvcc
+  #pragma diag_suppress 1222
+  // Disable the "calling a __host__ function from a __host__ __device__ function is not allowed" messages (yes, there are many of them and they seem to change with every version of the compiler)
+  #pragma diag_suppress 2527
+  #pragma diag_suppress 2529
+  #pragma diag_suppress 2651
+  #pragma diag_suppress 2653
+  #pragma diag_suppress 2668
+  #pragma diag_suppress 2669
+  #pragma diag_suppress 2670
+  #pragma diag_suppress 2671
+  #pragma diag_suppress 2735
+  #pragma diag_suppress 2737
+  #pragma diag_suppress 2739
+#endif
+
+#else
+// warnings already disabled:
+# ifndef EIGEN_WARNINGS_DISABLED_2
+#  define EIGEN_WARNINGS_DISABLED_2
+# elif defined(EIGEN_INTERNAL_DEBUGGING)
+#  error "Do not include \"DisableStupidWarnings.h\" recursively more than twice!"
+# endif
+
+#endif // not EIGEN_WARNINGS_DISABLED
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/util/NonMPL2.h
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/util/NonMPL2.h	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/util/NonMPL2.h	(revision 3761)
@@ -0,0 +1,3 @@
+#ifdef EIGEN_MPL2_ONLY
+#error Including non-MPL2 code in EIGEN_MPL2_ONLY mode
+#endif
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/util/Meta.h
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/util/Meta.h	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/util/Meta.h	(revision 3761)
@@ -0,0 +1,568 @@
+// This file is part of Eigen, a lightweight C++ template library
+// for linear algebra.
+//
+// Copyright (C) 2008-2015 Gael Guennebaud <gael.guennebaud@inria.fr>
+// Copyright (C) 2006-2008 Benoit Jacob <jacob.benoit.1@gmail.com>
+//
+// This Source Code Form is subject to the terms of the Mozilla
+// Public License v. 2.0. If a copy of the MPL was not distributed
+// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
+
+#ifndef EIGEN_META_H
+#define EIGEN_META_H
+
+#if defined(__CUDA_ARCH__)
+#include <cfloat>
+#include <math_constants.h>
+#endif
+
+#if EIGEN_COMP_ICC>=1600 &&  __cplusplus >= 201103L
+#include <cstdint>
+#endif
+
+namespace Eigen {
+
+typedef EIGEN_DEFAULT_DENSE_INDEX_TYPE DenseIndex;
+
+/**
+ * \brief The Index type as used for the API.
+ * \details To change this, \c \#define the preprocessor symbol \c EIGEN_DEFAULT_DENSE_INDEX_TYPE.
+ * \sa \blank \ref TopicPreprocessorDirectives, StorageIndex.
+ */
+
+typedef EIGEN_DEFAULT_DENSE_INDEX_TYPE Index;
+
+namespace internal {
+
+/** \internal
+  * \file Meta.h
+  * This file contains generic metaprogramming classes which are not specifically related to Eigen.
+  * \note In case you wonder, yes we're aware that Boost already provides all these features,
+  * we however don't want to add a dependency to Boost.
+  */
+
+// Only recent versions of ICC complain about using ptrdiff_t to hold pointers,
+// and older versions do not provide *intptr_t types.
+#if EIGEN_COMP_ICC>=1600 &&  __cplusplus >= 201103L
+typedef std::intptr_t  IntPtr;
+typedef std::uintptr_t UIntPtr;
+#else
+typedef std::ptrdiff_t IntPtr;
+typedef std::size_t UIntPtr;
+#endif
+
+struct true_type {  enum { value = 1 }; };
+struct false_type { enum { value = 0 }; };
+
+template<bool Condition, typename Then, typename Else>
+struct conditional { typedef Then type; };
+
+template<typename Then, typename Else>
+struct conditional <false, Then, Else> { typedef Else type; };
+
+template<typename T, typename U> struct is_same { enum { value = 0 }; };
+template<typename T> struct is_same<T,T> { enum { value = 1 }; };
+
+template<typename T> struct remove_reference { typedef T type; };
+template<typename T> struct remove_reference<T&> { typedef T type; };
+
+template<typename T> struct remove_pointer { typedef T type; };
+template<typename T> struct remove_pointer<T*> { typedef T type; };
+template<typename T> struct remove_pointer<T*const> { typedef T type; };
+
+template <class T> struct remove_const { typedef T type; };
+template <class T> struct remove_const<const T> { typedef T type; };
+template <class T> struct remove_const<const T[]> { typedef T type[]; };
+template <class T, unsigned int Size> struct remove_const<const T[Size]> { typedef T type[Size]; };
+
+template<typename T> struct remove_all { typedef T type; };
+template<typename T> struct remove_all<const T>   { typedef typename remove_all<T>::type type; };
+template<typename T> struct remove_all<T const&>  { typedef typename remove_all<T>::type type; };
+template<typename T> struct remove_all<T&>        { typedef typename remove_all<T>::type type; };
+template<typename T> struct remove_all<T const*>  { typedef typename remove_all<T>::type type; };
+template<typename T> struct remove_all<T*>        { typedef typename remove_all<T>::type type; };
+
+template<typename T> struct is_arithmetic      { enum { value = false }; };
+template<> struct is_arithmetic<float>         { enum { value = true }; };
+template<> struct is_arithmetic<double>        { enum { value = true }; };
+template<> struct is_arithmetic<long double>   { enum { value = true }; };
+template<> struct is_arithmetic<bool>          { enum { value = true }; };
+template<> struct is_arithmetic<char>          { enum { value = true }; };
+template<> struct is_arithmetic<signed char>   { enum { value = true }; };
+template<> struct is_arithmetic<unsigned char> { enum { value = true }; };
+template<> struct is_arithmetic<signed short>  { enum { value = true }; };
+template<> struct is_arithmetic<unsigned short>{ enum { value = true }; };
+template<> struct is_arithmetic<signed int>    { enum { value = true }; };
+template<> struct is_arithmetic<unsigned int>  { enum { value = true }; };
+template<> struct is_arithmetic<signed long>   { enum { value = true }; };
+template<> struct is_arithmetic<unsigned long> { enum { value = true }; };
+
+#if EIGEN_HAS_CXX11
+using std::is_integral;
+#else
+template<typename T> struct is_integral        { enum { value = false }; };
+template<> struct is_integral<bool>            { enum { value = true }; };
+template<> struct is_integral<char>            { enum { value = true }; };
+template<> struct is_integral<signed char>     { enum { value = true }; };
+template<> struct is_integral<unsigned char>   { enum { value = true }; };
+template<> struct is_integral<signed short>    { enum { value = true }; };
+template<> struct is_integral<unsigned short>  { enum { value = true }; };
+template<> struct is_integral<signed int>      { enum { value = true }; };
+template<> struct is_integral<unsigned int>    { enum { value = true }; };
+template<> struct is_integral<signed long>     { enum { value = true }; };
+template<> struct is_integral<unsigned long>   { enum { value = true }; };
+#if EIGEN_COMP_MSVC
+template<> struct is_integral<signed __int64>  { enum { value = true }; };
+template<> struct is_integral<unsigned __int64>{ enum { value = true }; };
+#endif
+#endif
+
+#if EIGEN_HAS_CXX11
+using std::make_unsigned;
+#else
+// TODO: Possibly improve this implementation of make_unsigned.
+// It is currently used only by
+// template<typename Scalar> struct random_default_impl<Scalar, false, true>.
+template<typename> struct make_unsigned;
+template<> struct make_unsigned<char>             { typedef unsigned char type; };
+template<> struct make_unsigned<signed char>      { typedef unsigned char type; };
+template<> struct make_unsigned<unsigned char>    { typedef unsigned char type; };
+template<> struct make_unsigned<signed short>     { typedef unsigned short type; };
+template<> struct make_unsigned<unsigned short>   { typedef unsigned short type; };
+template<> struct make_unsigned<signed int>       { typedef unsigned int type; };
+template<> struct make_unsigned<unsigned int>     { typedef unsigned int type; };
+template<> struct make_unsigned<signed long>      { typedef unsigned long type; };
+template<> struct make_unsigned<unsigned long>    { typedef unsigned long type; };
+#if EIGEN_COMP_MSVC
+template<> struct make_unsigned<signed __int64>   { typedef unsigned __int64 type; };
+template<> struct make_unsigned<unsigned __int64> { typedef unsigned __int64 type; };
+#endif
+#endif
+
+template <typename T> struct add_const { typedef const T type; };
+template <typename T> struct add_const<T&> { typedef T& type; };
+
+template <typename T> struct is_const { enum { value = 0 }; };
+template <typename T> struct is_const<T const> { enum { value = 1 }; };
+
+template<typename T> struct add_const_on_value_type            { typedef const T type;  };
+template<typename T> struct add_const_on_value_type<T&>        { typedef T const& type; };
+template<typename T> struct add_const_on_value_type<T*>        { typedef T const* type; };
+template<typename T> struct add_const_on_value_type<T* const>  { typedef T const* const type; };
+template<typename T> struct add_const_on_value_type<T const* const>  { typedef T const* const type; };
+
+
+template<typename From, typename To>
+struct is_convertible_impl
+{
+private:
+  struct any_conversion
+  {
+    template <typename T> any_conversion(const volatile T&);
+    template <typename T> any_conversion(T&);
+  };
+  struct yes {int a[1];};
+  struct no  {int a[2];};
+
+  static yes test(const To&, int);
+  static no  test(any_conversion, ...);
+
+public:
+  static From ms_from;
+#ifdef __INTEL_COMPILER
+  #pragma warning push
+  #pragma warning ( disable : 2259 )
+#endif
+  enum { value = sizeof(test(ms_from, 0))==sizeof(yes) };
+#ifdef __INTEL_COMPILER
+  #pragma warning pop
+#endif
+};
+
+template<typename From, typename To>
+struct is_convertible
+{
+  enum { value = is_convertible_impl<typename remove_all<From>::type,
+                                     typename remove_all<To  >::type>::value };
+};
+
+/** \internal Allows to enable/disable an overload
+  * according to a compile time condition.
+  */
+template<bool Condition, typename T=void> struct enable_if;
+
+template<typename T> struct enable_if<true,T>
+{ typedef T type; };
+
+#if defined(__CUDA_ARCH__)
+#if !defined(__FLT_EPSILON__)
+#define __FLT_EPSILON__ FLT_EPSILON
+#define __DBL_EPSILON__ DBL_EPSILON
+#endif
+
+namespace device {
+
+template<typename T> struct numeric_limits
+{
+  EIGEN_DEVICE_FUNC
+  static T epsilon() { return 0; }
+  static T (max)() { assert(false && "Highest not supported for this type"); }
+  static T (min)() { assert(false && "Lowest not supported for this type"); }
+  static T infinity() { assert(false && "Infinity not supported for this type"); }
+  static T quiet_NaN() { assert(false && "quiet_NaN not supported for this type"); }
+};
+template<> struct numeric_limits<float>
+{
+  EIGEN_DEVICE_FUNC
+  static float epsilon() { return __FLT_EPSILON__; }
+  EIGEN_DEVICE_FUNC
+  static float (max)() { return CUDART_MAX_NORMAL_F; }
+  EIGEN_DEVICE_FUNC
+  static float (min)() { return FLT_MIN; }
+  EIGEN_DEVICE_FUNC
+  static float infinity() { return CUDART_INF_F; }
+  EIGEN_DEVICE_FUNC
+  static float quiet_NaN() { return CUDART_NAN_F; }
+};
+template<> struct numeric_limits<double>
+{
+  EIGEN_DEVICE_FUNC
+  static double epsilon() { return __DBL_EPSILON__; }
+  EIGEN_DEVICE_FUNC
+  static double (max)() { return DBL_MAX; }
+  EIGEN_DEVICE_FUNC
+  static double (min)() { return DBL_MIN; }
+  EIGEN_DEVICE_FUNC
+  static double infinity() { return CUDART_INF; }
+  EIGEN_DEVICE_FUNC
+  static double quiet_NaN() { return CUDART_NAN; }
+};
+template<> struct numeric_limits<int>
+{
+  EIGEN_DEVICE_FUNC
+  static int epsilon() { return 0; }
+  EIGEN_DEVICE_FUNC
+  static int (max)() { return INT_MAX; }
+  EIGEN_DEVICE_FUNC
+  static int (min)() { return INT_MIN; }
+};
+template<> struct numeric_limits<unsigned int>
+{
+  EIGEN_DEVICE_FUNC
+  static unsigned int epsilon() { return 0; }
+  EIGEN_DEVICE_FUNC
+  static unsigned int (max)() { return UINT_MAX; }
+  EIGEN_DEVICE_FUNC
+  static unsigned int (min)() { return 0; }
+};
+template<> struct numeric_limits<long>
+{
+  EIGEN_DEVICE_FUNC
+  static long epsilon() { return 0; }
+  EIGEN_DEVICE_FUNC
+  static long (max)() { return LONG_MAX; }
+  EIGEN_DEVICE_FUNC
+  static long (min)() { return LONG_MIN; }
+};
+template<> struct numeric_limits<unsigned long>
+{
+  EIGEN_DEVICE_FUNC
+  static unsigned long epsilon() { return 0; }
+  EIGEN_DEVICE_FUNC
+  static unsigned long (max)() { return ULONG_MAX; }
+  EIGEN_DEVICE_FUNC
+  static unsigned long (min)() { return 0; }
+};
+template<> struct numeric_limits<long long>
+{
+  EIGEN_DEVICE_FUNC
+  static long long epsilon() { return 0; }
+  EIGEN_DEVICE_FUNC
+  static long long (max)() { return LLONG_MAX; }
+  EIGEN_DEVICE_FUNC
+  static long long (min)() { return LLONG_MIN; }
+};
+template<> struct numeric_limits<unsigned long long>
+{
+  EIGEN_DEVICE_FUNC
+  static unsigned long long epsilon() { return 0; }
+  EIGEN_DEVICE_FUNC
+  static unsigned long long (max)() { return ULLONG_MAX; }
+  EIGEN_DEVICE_FUNC
+  static unsigned long long (min)() { return 0; }
+};
+
+}
+
+#endif
+
+/** \internal
+  * A base class do disable default copy ctor and copy assignement operator.
+  */
+class noncopyable
+{
+  EIGEN_DEVICE_FUNC noncopyable(const noncopyable&);
+  EIGEN_DEVICE_FUNC const noncopyable& operator=(const noncopyable&);
+protected:
+  EIGEN_DEVICE_FUNC noncopyable() {}
+  EIGEN_DEVICE_FUNC ~noncopyable() {}
+};
+
+/** \internal
+  * Convenient struct to get the result type of a unary or binary functor.
+  *
+  * It supports both the current STL mechanism (using the result_type member) as well as
+  * upcoming next STL generation (using a templated result member).
+  * If none of these members is provided, then the type of the first argument is returned. FIXME, that behavior is a pretty bad hack.
+  */
+#if EIGEN_HAS_STD_RESULT_OF
+template<typename T> struct result_of {
+  typedef typename std::result_of<T>::type type1;
+  typedef typename remove_all<type1>::type type;
+};
+#else
+template<typename T> struct result_of { };
+
+struct has_none {int a[1];};
+struct has_std_result_type {int a[2];};
+struct has_tr1_result {int a[3];};
+
+template<typename Func, typename ArgType, int SizeOf=sizeof(has_none)>
+struct unary_result_of_select {typedef typename internal::remove_all<ArgType>::type type;};
+
+template<typename Func, typename ArgType>
+struct unary_result_of_select<Func, ArgType, sizeof(has_std_result_type)> {typedef typename Func::result_type type;};
+
+template<typename Func, typename ArgType>
+struct unary_result_of_select<Func, ArgType, sizeof(has_tr1_result)> {typedef typename Func::template result<Func(ArgType)>::type type;};
+
+template<typename Func, typename ArgType>
+struct result_of<Func(ArgType)> {
+    template<typename T>
+    static has_std_result_type    testFunctor(T const *, typename T::result_type const * = 0);
+    template<typename T>
+    static has_tr1_result         testFunctor(T const *, typename T::template result<T(ArgType)>::type const * = 0);
+    static has_none               testFunctor(...);
+
+    // note that the following indirection is needed for gcc-3.3
+    enum {FunctorType = sizeof(testFunctor(static_cast<Func*>(0)))};
+    typedef typename unary_result_of_select<Func, ArgType, FunctorType>::type type;
+};
+
+template<typename Func, typename ArgType0, typename ArgType1, int SizeOf=sizeof(has_none)>
+struct binary_result_of_select {typedef typename internal::remove_all<ArgType0>::type type;};
+
+template<typename Func, typename ArgType0, typename ArgType1>
+struct binary_result_of_select<Func, ArgType0, ArgType1, sizeof(has_std_result_type)>
+{typedef typename Func::result_type type;};
+
+template<typename Func, typename ArgType0, typename ArgType1>
+struct binary_result_of_select<Func, ArgType0, ArgType1, sizeof(has_tr1_result)>
+{typedef typename Func::template result<Func(ArgType0,ArgType1)>::type type;};
+
+template<typename Func, typename ArgType0, typename ArgType1>
+struct result_of<Func(ArgType0,ArgType1)> {
+    template<typename T>
+    static has_std_result_type    testFunctor(T const *, typename T::result_type const * = 0);
+    template<typename T>
+    static has_tr1_result         testFunctor(T const *, typename T::template result<T(ArgType0,ArgType1)>::type const * = 0);
+    static has_none               testFunctor(...);
+
+    // note that the following indirection is needed for gcc-3.3
+    enum {FunctorType = sizeof(testFunctor(static_cast<Func*>(0)))};
+    typedef typename binary_result_of_select<Func, ArgType0, ArgType1, FunctorType>::type type;
+};
+
+template<typename Func, typename ArgType0, typename ArgType1, typename ArgType2, int SizeOf=sizeof(has_none)>
+struct ternary_result_of_select {typedef typename internal::remove_all<ArgType0>::type type;};
+
+template<typename Func, typename ArgType0, typename ArgType1, typename ArgType2>
+struct ternary_result_of_select<Func, ArgType0, ArgType1, ArgType2, sizeof(has_std_result_type)>
+{typedef typename Func::result_type type;};
+
+template<typename Func, typename ArgType0, typename ArgType1, typename ArgType2>
+struct ternary_result_of_select<Func, ArgType0, ArgType1, ArgType2, sizeof(has_tr1_result)>
+{typedef typename Func::template result<Func(ArgType0,ArgType1,ArgType2)>::type type;};
+
+template<typename Func, typename ArgType0, typename ArgType1, typename ArgType2>
+struct result_of<Func(ArgType0,ArgType1,ArgType2)> {
+    template<typename T>
+    static has_std_result_type    testFunctor(T const *, typename T::result_type const * = 0);
+    template<typename T>
+    static has_tr1_result         testFunctor(T const *, typename T::template result<T(ArgType0,ArgType1,ArgType2)>::type const * = 0);
+    static has_none               testFunctor(...);
+
+    // note that the following indirection is needed for gcc-3.3
+    enum {FunctorType = sizeof(testFunctor(static_cast<Func*>(0)))};
+    typedef typename ternary_result_of_select<Func, ArgType0, ArgType1, ArgType2, FunctorType>::type type;
+};
+#endif
+
+struct meta_yes { char a[1]; };
+struct meta_no  { char a[2]; };
+
+// Check whether T::ReturnType does exist
+template <typename T>
+struct has_ReturnType
+{
+  template <typename C> static meta_yes testFunctor(typename C::ReturnType const *);
+  template <typename C> static meta_no testFunctor(...);
+
+  enum { value = sizeof(testFunctor<T>(0)) == sizeof(meta_yes) };
+};
+
+template<typename T> const T* return_ptr();
+
+template <typename T, typename IndexType=Index>
+struct has_nullary_operator
+{
+  template <typename C> static meta_yes testFunctor(C const *,typename enable_if<(sizeof(return_ptr<C>()->operator()())>0)>::type * = 0);
+  static meta_no testFunctor(...);
+
+  enum { value = sizeof(testFunctor(static_cast<T*>(0))) == sizeof(meta_yes) };
+};
+
+template <typename T, typename IndexType=Index>
+struct has_unary_operator
+{
+  template <typename C> static meta_yes testFunctor(C const *,typename enable_if<(sizeof(return_ptr<C>()->operator()(IndexType(0)))>0)>::type * = 0);
+  static meta_no testFunctor(...);
+
+  enum { value = sizeof(testFunctor(static_cast<T*>(0))) == sizeof(meta_yes) };
+};
+
+template <typename T, typename IndexType=Index>
+struct has_binary_operator
+{
+  template <typename C> static meta_yes testFunctor(C const *,typename enable_if<(sizeof(return_ptr<C>()->operator()(IndexType(0),IndexType(0)))>0)>::type * = 0);
+  static meta_no testFunctor(...);
+
+  enum { value = sizeof(testFunctor(static_cast<T*>(0))) == sizeof(meta_yes) };
+};
+
+/** \internal In short, it computes int(sqrt(\a Y)) with \a Y an integer.
+  * Usage example: \code meta_sqrt<1023>::ret \endcode
+  */
+template<int Y,
+         int InfX = 0,
+         int SupX = ((Y==1) ? 1 : Y/2),
+         bool Done = ((SupX-InfX)<=1 ? true : ((SupX*SupX <= Y) && ((SupX+1)*(SupX+1) > Y))) >
+                                // use ?: instead of || just to shut up a stupid gcc 4.3 warning
+class meta_sqrt
+{
+    enum {
+      MidX = (InfX+SupX)/2,
+      TakeInf = MidX*MidX > Y ? 1 : 0,
+      NewInf = int(TakeInf) ? InfX : int(MidX),
+      NewSup = int(TakeInf) ? int(MidX) : SupX
+    };
+  public:
+    enum { ret = meta_sqrt<Y,NewInf,NewSup>::ret };
+};
+
+template<int Y, int InfX, int SupX>
+class meta_sqrt<Y, InfX, SupX, true> { public:  enum { ret = (SupX*SupX <= Y) ? SupX : InfX }; };
+
+
+/** \internal Computes the least common multiple of two positive integer A and B
+  * at compile-time. It implements a naive algorithm testing all multiples of A.
+  * It thus works better if A>=B.
+  */
+template<int A, int B, int K=1, bool Done = ((A*K)%B)==0>
+struct meta_least_common_multiple
+{
+  enum { ret = meta_least_common_multiple<A,B,K+1>::ret };
+};
+template<int A, int B, int K>
+struct meta_least_common_multiple<A,B,K,true>
+{
+  enum { ret = A*K };
+};
+
+/** \internal determines whether the product of two numeric types is allowed and what the return type is */
+template<typename T, typename U> struct scalar_product_traits
+{
+  enum { Defined = 0 };
+};
+
+// FIXME quick workaround around current limitation of result_of
+// template<typename Scalar, typename ArgType0, typename ArgType1>
+// struct result_of<scalar_product_op<Scalar>(ArgType0,ArgType1)> {
+// typedef typename scalar_product_traits<typename remove_all<ArgType0>::type, typename remove_all<ArgType1>::type>::ReturnType type;
+// };
+
+} // end namespace internal
+
+namespace numext {
+  
+#if defined(__CUDA_ARCH__)
+template<typename T> EIGEN_DEVICE_FUNC   void swap(T &a, T &b) { T tmp = b; b = a; a = tmp; }
+#else
+template<typename T> EIGEN_STRONG_INLINE void swap(T &a, T &b) { std::swap(a,b); }
+#endif
+
+#if defined(__CUDA_ARCH__)
+using internal::device::numeric_limits;
+#else
+using std::numeric_limits;
+#endif
+
+// Integer division with rounding up.
+// T is assumed to be an integer type with a>=0, and b>0
+template<typename T>
+T div_ceil(const T &a, const T &b)
+{
+  return (a+b-1) / b;
+}
+
+// The aim of the following functions is to bypass -Wfloat-equal warnings
+// when we really want a strict equality comparison on floating points.
+template<typename X, typename Y> EIGEN_STRONG_INLINE
+bool equal_strict(const X& x,const Y& y) { return x == y; }
+
+template<> EIGEN_STRONG_INLINE
+bool equal_strict(const float& x,const float& y) { return std::equal_to<float>()(x,y); }
+
+template<> EIGEN_STRONG_INLINE
+bool equal_strict(const double& x,const double& y) { return std::equal_to<double>()(x,y); }
+
+template<typename X, typename Y> EIGEN_STRONG_INLINE
+bool not_equal_strict(const X& x,const Y& y) { return x != y; }
+
+template<> EIGEN_STRONG_INLINE
+bool not_equal_strict(const float& x,const float& y) { return std::not_equal_to<float>()(x,y); }
+
+template<> EIGEN_STRONG_INLINE
+bool not_equal_strict(const double& x,const double& y) { return std::not_equal_to<double>()(x,y); }
+
+} // end namespace numext
+
+} // end namespace Eigen
+
+// Define portable (u)int{32,64} types
+#if EIGEN_HAS_CXX11
+#include <cstdint>
+namespace Eigen {
+namespace numext {
+typedef std::uint32_t uint32_t;
+typedef std::int32_t  int32_t;
+typedef std::uint64_t uint64_t;
+typedef std::int64_t  int64_t;
+}
+}
+#else
+// Without c++11, all compilers able to compile Eigen also
+// provides the C99 stdint.h header file.
+#include <stdint.h>
+namespace Eigen {
+namespace numext {
+typedef ::uint32_t uint32_t;
+typedef ::int32_t  int32_t;
+typedef ::uint64_t uint64_t;
+typedef ::int64_t  int64_t;
+}
+}
+#endif
+
+
+#endif // EIGEN_META_H
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/util/Memory.h
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/util/Memory.h	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/util/Memory.h	(revision 3761)
@@ -0,0 +1,993 @@
+// This file is part of Eigen, a lightweight C++ template library
+// for linear algebra.
+//
+// Copyright (C) 2008-2015 Gael Guennebaud <gael.guennebaud@inria.fr>
+// Copyright (C) 2008-2009 Benoit Jacob <jacob.benoit.1@gmail.com>
+// Copyright (C) 2009 Kenneth Riddile <kfriddile@yahoo.com>
+// Copyright (C) 2010 Hauke Heibel <hauke.heibel@gmail.com>
+// Copyright (C) 2010 Thomas Capricelli <orzel@freehackers.org>
+// Copyright (C) 2013 Pavel Holoborodko <pavel@holoborodko.com>
+//
+// This Source Code Form is subject to the terms of the Mozilla
+// Public License v. 2.0. If a copy of the MPL was not distributed
+// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
+
+
+/*****************************************************************************
+*** Platform checks for aligned malloc functions                           ***
+*****************************************************************************/
+
+#ifndef EIGEN_MEMORY_H
+#define EIGEN_MEMORY_H
+
+#ifndef EIGEN_MALLOC_ALREADY_ALIGNED
+
+// Try to determine automatically if malloc is already aligned.
+
+// On 64-bit systems, glibc's malloc returns 16-byte-aligned pointers, see:
+//   http://www.gnu.org/s/libc/manual/html_node/Aligned-Memory-Blocks.html
+// This is true at least since glibc 2.8.
+// This leaves the question how to detect 64-bit. According to this document,
+//   http://gcc.fyxm.net/summit/2003/Porting%20to%2064%20bit.pdf
+// page 114, "[The] LP64 model [...] is used by all 64-bit UNIX ports" so it's indeed
+// quite safe, at least within the context of glibc, to equate 64-bit with LP64.
+#if defined(__GLIBC__) && ((__GLIBC__>=2 && __GLIBC_MINOR__ >= 8) || __GLIBC__>2) \
+ && defined(__LP64__) && ! defined( __SANITIZE_ADDRESS__ ) && (EIGEN_DEFAULT_ALIGN_BYTES == 16)
+  #define EIGEN_GLIBC_MALLOC_ALREADY_ALIGNED 1
+#else
+  #define EIGEN_GLIBC_MALLOC_ALREADY_ALIGNED 0
+#endif
+
+// FreeBSD 6 seems to have 16-byte aligned malloc
+//   See http://svn.freebsd.org/viewvc/base/stable/6/lib/libc/stdlib/malloc.c?view=markup
+// FreeBSD 7 seems to have 16-byte aligned malloc except on ARM and MIPS architectures
+//   See http://svn.freebsd.org/viewvc/base/stable/7/lib/libc/stdlib/malloc.c?view=markup
+#if defined(__FreeBSD__) && !(EIGEN_ARCH_ARM || EIGEN_ARCH_MIPS) && (EIGEN_DEFAULT_ALIGN_BYTES == 16)
+  #define EIGEN_FREEBSD_MALLOC_ALREADY_ALIGNED 1
+#else
+  #define EIGEN_FREEBSD_MALLOC_ALREADY_ALIGNED 0
+#endif
+
+#if (EIGEN_OS_MAC && (EIGEN_DEFAULT_ALIGN_BYTES == 16))     \
+ || (EIGEN_OS_WIN64 && (EIGEN_DEFAULT_ALIGN_BYTES == 16))   \
+ || EIGEN_GLIBC_MALLOC_ALREADY_ALIGNED              \
+ || EIGEN_FREEBSD_MALLOC_ALREADY_ALIGNED
+  #define EIGEN_MALLOC_ALREADY_ALIGNED 1
+#else
+  #define EIGEN_MALLOC_ALREADY_ALIGNED 0
+#endif
+
+#endif
+
+namespace Eigen {
+
+namespace internal {
+
+EIGEN_DEVICE_FUNC 
+inline void throw_std_bad_alloc()
+{
+  #ifdef EIGEN_EXCEPTIONS
+    throw std::bad_alloc();
+  #else
+    std::size_t huge = static_cast<std::size_t>(-1);
+    ::operator new(huge);
+  #endif
+}
+
+/*****************************************************************************
+*** Implementation of handmade aligned functions                           ***
+*****************************************************************************/
+
+/* ----- Hand made implementations of aligned malloc/free and realloc ----- */
+
+/** \internal Like malloc, but the returned pointer is guaranteed to be 16-byte aligned.
+  * Fast, but wastes 16 additional bytes of memory. Does not throw any exception.
+  */
+inline void* handmade_aligned_malloc(std::size_t size)
+{
+  void *original = std::malloc(size+EIGEN_DEFAULT_ALIGN_BYTES);
+  if (original == 0) return 0;
+  void *aligned = reinterpret_cast<void*>((reinterpret_cast<std::size_t>(original) & ~(std::size_t(EIGEN_DEFAULT_ALIGN_BYTES-1))) + EIGEN_DEFAULT_ALIGN_BYTES);
+  *(reinterpret_cast<void**>(aligned) - 1) = original;
+  return aligned;
+}
+
+/** \internal Frees memory allocated with handmade_aligned_malloc */
+inline void handmade_aligned_free(void *ptr)
+{
+  if (ptr) std::free(*(reinterpret_cast<void**>(ptr) - 1));
+}
+
+/** \internal
+  * \brief Reallocates aligned memory.
+  * Since we know that our handmade version is based on std::malloc
+  * we can use std::realloc to implement efficient reallocation.
+  */
+inline void* handmade_aligned_realloc(void* ptr, std::size_t size, std::size_t = 0)
+{
+  if (ptr == 0) return handmade_aligned_malloc(size);
+  void *original = *(reinterpret_cast<void**>(ptr) - 1);
+  std::ptrdiff_t previous_offset = static_cast<char *>(ptr)-static_cast<char *>(original);
+  original = std::realloc(original,size+EIGEN_DEFAULT_ALIGN_BYTES);
+  if (original == 0) return 0;
+  void *aligned = reinterpret_cast<void*>((reinterpret_cast<std::size_t>(original) & ~(std::size_t(EIGEN_DEFAULT_ALIGN_BYTES-1))) + EIGEN_DEFAULT_ALIGN_BYTES);
+  void *previous_aligned = static_cast<char *>(original)+previous_offset;
+  if(aligned!=previous_aligned)
+    std::memmove(aligned, previous_aligned, size);
+  
+  *(reinterpret_cast<void**>(aligned) - 1) = original;
+  return aligned;
+}
+
+/*****************************************************************************
+*** Implementation of portable aligned versions of malloc/free/realloc     ***
+*****************************************************************************/
+
+#ifdef EIGEN_NO_MALLOC
+EIGEN_DEVICE_FUNC inline void check_that_malloc_is_allowed()
+{
+  eigen_assert(false && "heap allocation is forbidden (EIGEN_NO_MALLOC is defined)");
+}
+#elif defined EIGEN_RUNTIME_NO_MALLOC
+EIGEN_DEVICE_FUNC inline bool is_malloc_allowed_impl(bool update, bool new_value = false)
+{
+  static bool value = true;
+  if (update == 1)
+    value = new_value;
+  return value;
+}
+EIGEN_DEVICE_FUNC inline bool is_malloc_allowed() { return is_malloc_allowed_impl(false); }
+EIGEN_DEVICE_FUNC inline bool set_is_malloc_allowed(bool new_value) { return is_malloc_allowed_impl(true, new_value); }
+EIGEN_DEVICE_FUNC inline void check_that_malloc_is_allowed()
+{
+  eigen_assert(is_malloc_allowed() && "heap allocation is forbidden (EIGEN_RUNTIME_NO_MALLOC is defined and g_is_malloc_allowed is false)");
+}
+#else 
+EIGEN_DEVICE_FUNC inline void check_that_malloc_is_allowed()
+{}
+#endif
+
+/** \internal Allocates \a size bytes. The returned pointer is guaranteed to have 16 or 32 bytes alignment depending on the requirements.
+  * On allocation error, the returned pointer is null, and std::bad_alloc is thrown.
+  */
+EIGEN_DEVICE_FUNC inline void* aligned_malloc(std::size_t size)
+{
+  check_that_malloc_is_allowed();
+
+  void *result;
+  #if (EIGEN_DEFAULT_ALIGN_BYTES==0) || EIGEN_MALLOC_ALREADY_ALIGNED
+    result = std::malloc(size);
+    #if EIGEN_DEFAULT_ALIGN_BYTES==16
+    eigen_assert((size<16 || (std::size_t(result)%16)==0) && "System's malloc returned an unaligned pointer. Compile with EIGEN_MALLOC_ALREADY_ALIGNED=0 to fallback to handmade alignd memory allocator.");
+    #endif
+  #else
+    result = handmade_aligned_malloc(size);
+  #endif
+
+  if(!result && size)
+    throw_std_bad_alloc();
+
+  return result;
+}
+
+/** \internal Frees memory allocated with aligned_malloc. */
+EIGEN_DEVICE_FUNC inline void aligned_free(void *ptr)
+{
+  #if (EIGEN_DEFAULT_ALIGN_BYTES==0) || EIGEN_MALLOC_ALREADY_ALIGNED
+    std::free(ptr);
+  #else
+    handmade_aligned_free(ptr);
+  #endif
+}
+
+/**
+  * \internal
+  * \brief Reallocates an aligned block of memory.
+  * \throws std::bad_alloc on allocation failure
+  */
+inline void* aligned_realloc(void *ptr, std::size_t new_size, std::size_t old_size)
+{
+  EIGEN_UNUSED_VARIABLE(old_size);
+
+  void *result;
+#if (EIGEN_DEFAULT_ALIGN_BYTES==0) || EIGEN_MALLOC_ALREADY_ALIGNED
+  result = std::realloc(ptr,new_size);
+#else
+  result = handmade_aligned_realloc(ptr,new_size,old_size);
+#endif
+
+  if (!result && new_size)
+    throw_std_bad_alloc();
+
+  return result;
+}
+
+/*****************************************************************************
+*** Implementation of conditionally aligned functions                      ***
+*****************************************************************************/
+
+/** \internal Allocates \a size bytes. If Align is true, then the returned ptr is 16-byte-aligned.
+  * On allocation error, the returned pointer is null, and a std::bad_alloc is thrown.
+  */
+template<bool Align> EIGEN_DEVICE_FUNC inline void* conditional_aligned_malloc(std::size_t size)
+{
+  return aligned_malloc(size);
+}
+
+template<> EIGEN_DEVICE_FUNC inline void* conditional_aligned_malloc<false>(std::size_t size)
+{
+  check_that_malloc_is_allowed();
+
+  void *result = std::malloc(size);
+  if(!result && size)
+    throw_std_bad_alloc();
+  return result;
+}
+
+/** \internal Frees memory allocated with conditional_aligned_malloc */
+template<bool Align> EIGEN_DEVICE_FUNC inline void conditional_aligned_free(void *ptr)
+{
+  aligned_free(ptr);
+}
+
+template<> EIGEN_DEVICE_FUNC inline void conditional_aligned_free<false>(void *ptr)
+{
+  std::free(ptr);
+}
+
+template<bool Align> inline void* conditional_aligned_realloc(void* ptr, std::size_t new_size, std::size_t old_size)
+{
+  return aligned_realloc(ptr, new_size, old_size);
+}
+
+template<> inline void* conditional_aligned_realloc<false>(void* ptr, std::size_t new_size, std::size_t)
+{
+  return std::realloc(ptr, new_size);
+}
+
+/*****************************************************************************
+*** Construction/destruction of array elements                             ***
+*****************************************************************************/
+
+/** \internal Destructs the elements of an array.
+  * The \a size parameters tells on how many objects to call the destructor of T.
+  */
+template<typename T> EIGEN_DEVICE_FUNC inline void destruct_elements_of_array(T *ptr, std::size_t size)
+{
+  // always destruct an array starting from the end.
+  if(ptr)
+    while(size) ptr[--size].~T();
+}
+
+/** \internal Constructs the elements of an array.
+  * The \a size parameter tells on how many objects to call the constructor of T.
+  */
+template<typename T> EIGEN_DEVICE_FUNC inline T* construct_elements_of_array(T *ptr, std::size_t size)
+{
+  std::size_t i;
+  EIGEN_TRY
+  {
+      for (i = 0; i < size; ++i) ::new (ptr + i) T;
+      return ptr;
+  }
+  EIGEN_CATCH(...)
+  {
+    destruct_elements_of_array(ptr, i);
+    EIGEN_THROW;
+  }
+  return NULL;
+}
+
+/*****************************************************************************
+*** Implementation of aligned new/delete-like functions                    ***
+*****************************************************************************/
+
+template<typename T>
+EIGEN_DEVICE_FUNC EIGEN_ALWAYS_INLINE void check_size_for_overflow(std::size_t size)
+{
+  if(size > std::size_t(-1) / sizeof(T))
+    throw_std_bad_alloc();
+}
+
+/** \internal Allocates \a size objects of type T. The returned pointer is guaranteed to have 16 bytes alignment.
+  * On allocation error, the returned pointer is undefined, but a std::bad_alloc is thrown.
+  * The default constructor of T is called.
+  */
+template<typename T> EIGEN_DEVICE_FUNC inline T* aligned_new(std::size_t size)
+{
+  check_size_for_overflow<T>(size);
+  T *result = reinterpret_cast<T*>(aligned_malloc(sizeof(T)*size));
+  EIGEN_TRY
+  {
+    return construct_elements_of_array(result, size);
+  }
+  EIGEN_CATCH(...)
+  {
+    aligned_free(result);
+    EIGEN_THROW;
+  }
+  return result;
+}
+
+template<typename T, bool Align> EIGEN_DEVICE_FUNC inline T* conditional_aligned_new(std::size_t size)
+{
+  check_size_for_overflow<T>(size);
+  T *result = reinterpret_cast<T*>(conditional_aligned_malloc<Align>(sizeof(T)*size));
+  EIGEN_TRY
+  {
+    return construct_elements_of_array(result, size);
+  }
+  EIGEN_CATCH(...)
+  {
+    conditional_aligned_free<Align>(result);
+    EIGEN_THROW;
+  }
+  return result;
+}
+
+/** \internal Deletes objects constructed with aligned_new
+  * The \a size parameters tells on how many objects to call the destructor of T.
+  */
+template<typename T> EIGEN_DEVICE_FUNC inline void aligned_delete(T *ptr, std::size_t size)
+{
+  destruct_elements_of_array<T>(ptr, size);
+  aligned_free(ptr);
+}
+
+/** \internal Deletes objects constructed with conditional_aligned_new
+  * The \a size parameters tells on how many objects to call the destructor of T.
+  */
+template<typename T, bool Align> EIGEN_DEVICE_FUNC inline void conditional_aligned_delete(T *ptr, std::size_t size)
+{
+  destruct_elements_of_array<T>(ptr, size);
+  conditional_aligned_free<Align>(ptr);
+}
+
+template<typename T, bool Align> EIGEN_DEVICE_FUNC inline T* conditional_aligned_realloc_new(T* pts, std::size_t new_size, std::size_t old_size)
+{
+  check_size_for_overflow<T>(new_size);
+  check_size_for_overflow<T>(old_size);
+  if(new_size < old_size)
+    destruct_elements_of_array(pts+new_size, old_size-new_size);
+  T *result = reinterpret_cast<T*>(conditional_aligned_realloc<Align>(reinterpret_cast<void*>(pts), sizeof(T)*new_size, sizeof(T)*old_size));
+  if(new_size > old_size)
+  {
+    EIGEN_TRY
+    {
+      construct_elements_of_array(result+old_size, new_size-old_size);
+    }
+    EIGEN_CATCH(...)
+    {
+      conditional_aligned_free<Align>(result);
+      EIGEN_THROW;
+    }
+  }
+  return result;
+}
+
+
+template<typename T, bool Align> EIGEN_DEVICE_FUNC inline T* conditional_aligned_new_auto(std::size_t size)
+{
+  if(size==0)
+    return 0; // short-cut. Also fixes Bug 884
+  check_size_for_overflow<T>(size);
+  T *result = reinterpret_cast<T*>(conditional_aligned_malloc<Align>(sizeof(T)*size));
+  if(NumTraits<T>::RequireInitialization)
+  {
+    EIGEN_TRY
+    {
+      construct_elements_of_array(result, size);
+    }
+    EIGEN_CATCH(...)
+    {
+      conditional_aligned_free<Align>(result);
+      EIGEN_THROW;
+    }
+  }
+  return result;
+}
+
+template<typename T, bool Align> inline T* conditional_aligned_realloc_new_auto(T* pts, std::size_t new_size, std::size_t old_size)
+{
+  check_size_for_overflow<T>(new_size);
+  check_size_for_overflow<T>(old_size);
+  if(NumTraits<T>::RequireInitialization && (new_size < old_size))
+    destruct_elements_of_array(pts+new_size, old_size-new_size);
+  T *result = reinterpret_cast<T*>(conditional_aligned_realloc<Align>(reinterpret_cast<void*>(pts), sizeof(T)*new_size, sizeof(T)*old_size));
+  if(NumTraits<T>::RequireInitialization && (new_size > old_size))
+  {
+    EIGEN_TRY
+    {
+      construct_elements_of_array(result+old_size, new_size-old_size);
+    }
+    EIGEN_CATCH(...)
+    {
+      conditional_aligned_free<Align>(result);
+      EIGEN_THROW;
+    }
+  }
+  return result;
+}
+
+template<typename T, bool Align> EIGEN_DEVICE_FUNC inline void conditional_aligned_delete_auto(T *ptr, std::size_t size)
+{
+  if(NumTraits<T>::RequireInitialization)
+    destruct_elements_of_array<T>(ptr, size);
+  conditional_aligned_free<Align>(ptr);
+}
+
+/****************************************************************************/
+
+/** \internal Returns the index of the first element of the array that is well aligned with respect to the requested \a Alignment.
+  *
+  * \tparam Alignment requested alignment in Bytes.
+  * \param array the address of the start of the array
+  * \param size the size of the array
+  *
+  * \note If no element of the array is well aligned or the requested alignment is not a multiple of a scalar,
+  * the size of the array is returned. For example with SSE, the requested alignment is typically 16-bytes. If
+  * packet size for the given scalar type is 1, then everything is considered well-aligned.
+  *
+  * \note Otherwise, if the Alignment is larger that the scalar size, we rely on the assumptions that sizeof(Scalar) is a
+  * power of 2. On the other hand, we do not assume that the array address is a multiple of sizeof(Scalar), as that fails for
+  * example with Scalar=double on certain 32-bit platforms, see bug #79.
+  *
+  * There is also the variant first_aligned(const MatrixBase&) defined in DenseCoeffsBase.h.
+  * \sa first_default_aligned()
+  */
+template<int Alignment, typename Scalar, typename Index>
+EIGEN_DEVICE_FUNC inline Index first_aligned(const Scalar* array, Index size)
+{
+  const Index ScalarSize = sizeof(Scalar);
+  const Index AlignmentSize = Alignment / ScalarSize;
+  const Index AlignmentMask = AlignmentSize-1;
+
+  if(AlignmentSize<=1)
+  {
+    // Either the requested alignment if smaller than a scalar, or it exactly match a 1 scalar
+    // so that all elements of the array have the same alignment.
+    return 0;
+  }
+  else if( (UIntPtr(array) & (sizeof(Scalar)-1)) || (Alignment%ScalarSize)!=0)
+  {
+    // The array is not aligned to the size of a single scalar, or the requested alignment is not a multiple of the scalar size.
+    // Consequently, no element of the array is well aligned.
+    return size;
+  }
+  else
+  {
+    Index first = (AlignmentSize - (Index((UIntPtr(array)/sizeof(Scalar))) & AlignmentMask)) & AlignmentMask;
+    return (first < size) ? first : size;
+  }
+}
+
+/** \internal Returns the index of the first element of the array that is well aligned with respect the largest packet requirement.
+   * \sa first_aligned(Scalar*,Index) and first_default_aligned(DenseBase<Derived>) */
+template<typename Scalar, typename Index>
+EIGEN_DEVICE_FUNC inline Index first_default_aligned(const Scalar* array, Index size)
+{
+  typedef typename packet_traits<Scalar>::type DefaultPacketType;
+  return first_aligned<unpacket_traits<DefaultPacketType>::alignment>(array, size);
+}
+
+/** \internal Returns the smallest integer multiple of \a base and greater or equal to \a size
+  */ 
+template<typename Index> 
+inline Index first_multiple(Index size, Index base)
+{
+  return ((size+base-1)/base)*base;
+}
+
+// std::copy is much slower than memcpy, so let's introduce a smart_copy which
+// use memcpy on trivial types, i.e., on types that does not require an initialization ctor.
+template<typename T, bool UseMemcpy> struct smart_copy_helper;
+
+template<typename T> EIGEN_DEVICE_FUNC void smart_copy(const T* start, const T* end, T* target)
+{
+  smart_copy_helper<T,!NumTraits<T>::RequireInitialization>::run(start, end, target);
+}
+
+template<typename T> struct smart_copy_helper<T,true> {
+  EIGEN_DEVICE_FUNC static inline void run(const T* start, const T* end, T* target)
+  {
+    IntPtr size = IntPtr(end)-IntPtr(start);
+    if(size==0) return;
+    eigen_internal_assert(start!=0 && end!=0 && target!=0);
+    std::memcpy(target, start, size);
+  }
+};
+
+template<typename T> struct smart_copy_helper<T,false> {
+  EIGEN_DEVICE_FUNC static inline void run(const T* start, const T* end, T* target)
+  { std::copy(start, end, target); }
+};
+
+// intelligent memmove. falls back to std::memmove for POD types, uses std::copy otherwise. 
+template<typename T, bool UseMemmove> struct smart_memmove_helper;
+
+template<typename T> void smart_memmove(const T* start, const T* end, T* target)
+{
+  smart_memmove_helper<T,!NumTraits<T>::RequireInitialization>::run(start, end, target);
+}
+
+template<typename T> struct smart_memmove_helper<T,true> {
+  static inline void run(const T* start, const T* end, T* target)
+  {
+    IntPtr size = IntPtr(end)-IntPtr(start);
+    if(size==0) return;
+    eigen_internal_assert(start!=0 && end!=0 && target!=0);
+    std::memmove(target, start, size);
+  }
+};
+
+template<typename T> struct smart_memmove_helper<T,false> {
+  static inline void run(const T* start, const T* end, T* target)
+  { 
+    if (UIntPtr(target) < UIntPtr(start))
+    {
+      std::copy(start, end, target);
+    }
+    else                                 
+    {
+      std::ptrdiff_t count = (std::ptrdiff_t(end)-std::ptrdiff_t(start)) / sizeof(T);
+      std::copy_backward(start, end, target + count); 
+    }
+  }
+};
+
+
+/*****************************************************************************
+*** Implementation of runtime stack allocation (falling back to malloc)    ***
+*****************************************************************************/
+
+// you can overwrite Eigen's default behavior regarding alloca by defining EIGEN_ALLOCA
+// to the appropriate stack allocation function
+#ifndef EIGEN_ALLOCA
+  #if EIGEN_OS_LINUX || EIGEN_OS_MAC || (defined alloca)
+    #define EIGEN_ALLOCA alloca
+  #elif EIGEN_COMP_MSVC
+    #define EIGEN_ALLOCA _alloca
+  #endif
+#endif
+
+// This helper class construct the allocated memory, and takes care of destructing and freeing the handled data
+// at destruction time. In practice this helper class is mainly useful to avoid memory leak in case of exceptions.
+template<typename T> class aligned_stack_memory_handler : noncopyable
+{
+  public:
+    /* Creates a stack_memory_handler responsible for the buffer \a ptr of size \a size.
+     * Note that \a ptr can be 0 regardless of the other parameters.
+     * This constructor takes care of constructing/initializing the elements of the buffer if required by the scalar type T (see NumTraits<T>::RequireInitialization).
+     * In this case, the buffer elements will also be destructed when this handler will be destructed.
+     * Finally, if \a dealloc is true, then the pointer \a ptr is freed.
+     **/
+    aligned_stack_memory_handler(T* ptr, std::size_t size, bool dealloc)
+      : m_ptr(ptr), m_size(size), m_deallocate(dealloc)
+    {
+      if(NumTraits<T>::RequireInitialization && m_ptr)
+        Eigen::internal::construct_elements_of_array(m_ptr, size);
+    }
+    ~aligned_stack_memory_handler()
+    {
+      if(NumTraits<T>::RequireInitialization && m_ptr)
+        Eigen::internal::destruct_elements_of_array<T>(m_ptr, m_size);
+      if(m_deallocate)
+        Eigen::internal::aligned_free(m_ptr);
+    }
+  protected:
+    T* m_ptr;
+    std::size_t m_size;
+    bool m_deallocate;
+};
+
+template<typename T> class scoped_array : noncopyable
+{
+  T* m_ptr;
+public:
+  explicit scoped_array(std::ptrdiff_t size)
+  {
+    m_ptr = new T[size];
+  }
+  ~scoped_array()
+  {
+    delete[] m_ptr;
+  }
+  T& operator[](std::ptrdiff_t i) { return m_ptr[i]; }
+  const T& operator[](std::ptrdiff_t i) const { return m_ptr[i]; }
+  T* &ptr() { return m_ptr; }
+  const T* ptr() const { return m_ptr; }
+  operator const T*() const { return m_ptr; }
+};
+
+template<typename T> void swap(scoped_array<T> &a,scoped_array<T> &b)
+{
+  std::swap(a.ptr(),b.ptr());
+}
+    
+} // end namespace internal
+
+/** \internal
+  * Declares, allocates and construct an aligned buffer named NAME of SIZE elements of type TYPE on the stack
+  * if SIZE is smaller than EIGEN_STACK_ALLOCATION_LIMIT, and if stack allocation is supported by the platform
+  * (currently, this is Linux and Visual Studio only). Otherwise the memory is allocated on the heap.
+  * The allocated buffer is automatically deleted when exiting the scope of this declaration.
+  * If BUFFER is non null, then the declared variable is simply an alias for BUFFER, and no allocation/deletion occurs.
+  * Here is an example:
+  * \code
+  * {
+  *   ei_declare_aligned_stack_constructed_variable(float,data,size,0);
+  *   // use data[0] to data[size-1]
+  * }
+  * \endcode
+  * The underlying stack allocation function can controlled with the EIGEN_ALLOCA preprocessor token.
+  */
+#ifdef EIGEN_ALLOCA
+  
+  #if EIGEN_DEFAULT_ALIGN_BYTES>0
+    // We always manually re-align the result of EIGEN_ALLOCA.
+    // If alloca is already aligned, the compiler should be smart enough to optimize away the re-alignment.
+    #define EIGEN_ALIGNED_ALLOCA(SIZE) reinterpret_cast<void*>((internal::UIntPtr(EIGEN_ALLOCA(SIZE+EIGEN_DEFAULT_ALIGN_BYTES-1)) + EIGEN_DEFAULT_ALIGN_BYTES-1) & ~(std::size_t(EIGEN_DEFAULT_ALIGN_BYTES-1)))
+  #else
+    #define EIGEN_ALIGNED_ALLOCA(SIZE) EIGEN_ALLOCA(SIZE)
+  #endif
+
+  #define ei_declare_aligned_stack_constructed_variable(TYPE,NAME,SIZE,BUFFER) \
+    Eigen::internal::check_size_for_overflow<TYPE>(SIZE); \
+    TYPE* NAME = (BUFFER)!=0 ? (BUFFER) \
+               : reinterpret_cast<TYPE*>( \
+                      (sizeof(TYPE)*SIZE<=EIGEN_STACK_ALLOCATION_LIMIT) ? EIGEN_ALIGNED_ALLOCA(sizeof(TYPE)*SIZE) \
+                    : Eigen::internal::aligned_malloc(sizeof(TYPE)*SIZE) );  \
+    Eigen::internal::aligned_stack_memory_handler<TYPE> EIGEN_CAT(NAME,_stack_memory_destructor)((BUFFER)==0 ? NAME : 0,SIZE,sizeof(TYPE)*SIZE>EIGEN_STACK_ALLOCATION_LIMIT)
+
+#else
+
+  #define ei_declare_aligned_stack_constructed_variable(TYPE,NAME,SIZE,BUFFER) \
+    Eigen::internal::check_size_for_overflow<TYPE>(SIZE); \
+    TYPE* NAME = (BUFFER)!=0 ? BUFFER : reinterpret_cast<TYPE*>(Eigen::internal::aligned_malloc(sizeof(TYPE)*SIZE));    \
+    Eigen::internal::aligned_stack_memory_handler<TYPE> EIGEN_CAT(NAME,_stack_memory_destructor)((BUFFER)==0 ? NAME : 0,SIZE,true)
+    
+#endif
+
+
+/*****************************************************************************
+*** Implementation of EIGEN_MAKE_ALIGNED_OPERATOR_NEW [_IF]                ***
+*****************************************************************************/
+
+#if EIGEN_MAX_ALIGN_BYTES!=0
+  #define EIGEN_MAKE_ALIGNED_OPERATOR_NEW_NOTHROW(NeedsToAlign) \
+      void* operator new(std::size_t size, const std::nothrow_t&) EIGEN_NO_THROW { \
+        EIGEN_TRY { return Eigen::internal::conditional_aligned_malloc<NeedsToAlign>(size); } \
+        EIGEN_CATCH (...) { return 0; } \
+      }
+  #define EIGEN_MAKE_ALIGNED_OPERATOR_NEW_IF(NeedsToAlign) \
+      void *operator new(std::size_t size) { \
+        return Eigen::internal::conditional_aligned_malloc<NeedsToAlign>(size); \
+      } \
+      void *operator new[](std::size_t size) { \
+        return Eigen::internal::conditional_aligned_malloc<NeedsToAlign>(size); \
+      } \
+      void operator delete(void * ptr) EIGEN_NO_THROW { Eigen::internal::conditional_aligned_free<NeedsToAlign>(ptr); } \
+      void operator delete[](void * ptr) EIGEN_NO_THROW { Eigen::internal::conditional_aligned_free<NeedsToAlign>(ptr); } \
+      void operator delete(void * ptr, std::size_t /* sz */) EIGEN_NO_THROW { Eigen::internal::conditional_aligned_free<NeedsToAlign>(ptr); } \
+      void operator delete[](void * ptr, std::size_t /* sz */) EIGEN_NO_THROW { Eigen::internal::conditional_aligned_free<NeedsToAlign>(ptr); } \
+      /* in-place new and delete. since (at least afaik) there is no actual   */ \
+      /* memory allocated we can safely let the default implementation handle */ \
+      /* this particular case. */ \
+      static void *operator new(std::size_t size, void *ptr) { return ::operator new(size,ptr); } \
+      static void *operator new[](std::size_t size, void* ptr) { return ::operator new[](size,ptr); } \
+      void operator delete(void * memory, void *ptr) EIGEN_NO_THROW { return ::operator delete(memory,ptr); } \
+      void operator delete[](void * memory, void *ptr) EIGEN_NO_THROW { return ::operator delete[](memory,ptr); } \
+      /* nothrow-new (returns zero instead of std::bad_alloc) */ \
+      EIGEN_MAKE_ALIGNED_OPERATOR_NEW_NOTHROW(NeedsToAlign) \
+      void operator delete(void *ptr, const std::nothrow_t&) EIGEN_NO_THROW { \
+        Eigen::internal::conditional_aligned_free<NeedsToAlign>(ptr); \
+      } \
+      typedef void eigen_aligned_operator_new_marker_type;
+#else
+  #define EIGEN_MAKE_ALIGNED_OPERATOR_NEW_IF(NeedsToAlign)
+#endif
+
+#define EIGEN_MAKE_ALIGNED_OPERATOR_NEW EIGEN_MAKE_ALIGNED_OPERATOR_NEW_IF(true)
+#define EIGEN_MAKE_ALIGNED_OPERATOR_NEW_IF_VECTORIZABLE_FIXED_SIZE(Scalar,Size) \
+  EIGEN_MAKE_ALIGNED_OPERATOR_NEW_IF(bool(((Size)!=Eigen::Dynamic) && ((sizeof(Scalar)*(Size))%EIGEN_MAX_ALIGN_BYTES==0)))
+
+/****************************************************************************/
+
+/** \class aligned_allocator
+* \ingroup Core_Module
+*
+* \brief STL compatible allocator to use with types requiring a non standrad alignment.
+*
+* The memory is aligned as for dynamically aligned matrix/array types such as MatrixXd.
+* By default, it will thus provide at least 16 bytes alignment and more in following cases:
+*  - 32 bytes alignment if AVX is enabled.
+*  - 64 bytes alignment if AVX512 is enabled.
+*
+* This can be controled using the \c EIGEN_MAX_ALIGN_BYTES macro as documented
+* \link TopicPreprocessorDirectivesPerformance there \endlink.
+*
+* Example:
+* \code
+* // Matrix4f requires 16 bytes alignment:
+* std::map< int, Matrix4f, std::less<int>, 
+*           aligned_allocator<std::pair<const int, Matrix4f> > > my_map_mat4;
+* // Vector3f does not require 16 bytes alignment, no need to use Eigen's allocator:
+* std::map< int, Vector3f > my_map_vec3;
+* \endcode
+*
+* \sa \blank \ref TopicStlContainers.
+*/
+template<class T>
+class aligned_allocator : public std::allocator<T>
+{
+public:
+  typedef std::size_t     size_type;
+  typedef std::ptrdiff_t  difference_type;
+  typedef T*              pointer;
+  typedef const T*        const_pointer;
+  typedef T&              reference;
+  typedef const T&        const_reference;
+  typedef T               value_type;
+
+  template<class U>
+  struct rebind
+  {
+    typedef aligned_allocator<U> other;
+  };
+
+  aligned_allocator() : std::allocator<T>() {}
+
+  aligned_allocator(const aligned_allocator& other) : std::allocator<T>(other) {}
+
+  template<class U>
+  aligned_allocator(const aligned_allocator<U>& other) : std::allocator<T>(other) {}
+
+  ~aligned_allocator() {}
+
+  pointer allocate(size_type num, const void* /*hint*/ = 0)
+  {
+    internal::check_size_for_overflow<T>(num);
+    size_type size = num * sizeof(T);
+#if EIGEN_COMP_GNUC_STRICT && EIGEN_GNUC_AT_LEAST(7,0)
+    // workaround gcc bug https://gcc.gnu.org/bugzilla/show_bug.cgi?id=87544
+    // It triggered eigen/Eigen/src/Core/util/Memory.h:189:12: warning: argument 1 value '18446744073709551612' exceeds maximum object size 9223372036854775807
+    if(size>=std::size_t((std::numeric_limits<std::ptrdiff_t>::max)()))
+      return 0;
+    else
+#endif
+      return static_cast<pointer>( internal::aligned_malloc(size) );
+  }
+
+  void deallocate(pointer p, size_type /*num*/)
+  {
+    internal::aligned_free(p);
+  }
+};
+
+//---------- Cache sizes ----------
+
+#if !defined(EIGEN_NO_CPUID)
+#  if EIGEN_COMP_GNUC && EIGEN_ARCH_i386_OR_x86_64
+#    if defined(__PIC__) && EIGEN_ARCH_i386
+       // Case for x86 with PIC
+#      define EIGEN_CPUID(abcd,func,id) \
+         __asm__ __volatile__ ("xchgl %%ebx, %k1;cpuid; xchgl %%ebx,%k1": "=a" (abcd[0]), "=&r" (abcd[1]), "=c" (abcd[2]), "=d" (abcd[3]) : "a" (func), "c" (id));
+#    elif defined(__PIC__) && EIGEN_ARCH_x86_64
+       // Case for x64 with PIC. In theory this is only a problem with recent gcc and with medium or large code model, not with the default small code model.
+       // However, we cannot detect which code model is used, and the xchg overhead is negligible anyway.
+#      define EIGEN_CPUID(abcd,func,id) \
+        __asm__ __volatile__ ("xchg{q}\t{%%}rbx, %q1; cpuid; xchg{q}\t{%%}rbx, %q1": "=a" (abcd[0]), "=&r" (abcd[1]), "=c" (abcd[2]), "=d" (abcd[3]) : "0" (func), "2" (id));
+#    else
+       // Case for x86_64 or x86 w/o PIC
+#      define EIGEN_CPUID(abcd,func,id) \
+         __asm__ __volatile__ ("cpuid": "=a" (abcd[0]), "=b" (abcd[1]), "=c" (abcd[2]), "=d" (abcd[3]) : "0" (func), "2" (id) );
+#    endif
+#  elif EIGEN_COMP_MSVC
+#    if (EIGEN_COMP_MSVC > 1500) && EIGEN_ARCH_i386_OR_x86_64
+#      define EIGEN_CPUID(abcd,func,id) __cpuidex((int*)abcd,func,id)
+#    endif
+#  endif
+#endif
+
+namespace internal {
+
+#ifdef EIGEN_CPUID
+
+inline bool cpuid_is_vendor(int abcd[4], const int vendor[3])
+{
+  return abcd[1]==vendor[0] && abcd[3]==vendor[1] && abcd[2]==vendor[2];
+}
+
+inline void queryCacheSizes_intel_direct(int& l1, int& l2, int& l3)
+{
+  int abcd[4];
+  l1 = l2 = l3 = 0;
+  int cache_id = 0;
+  int cache_type = 0;
+  do {
+    abcd[0] = abcd[1] = abcd[2] = abcd[3] = 0;
+    EIGEN_CPUID(abcd,0x4,cache_id);
+    cache_type  = (abcd[0] & 0x0F) >> 0;
+    if(cache_type==1||cache_type==3) // data or unified cache
+    {
+      int cache_level = (abcd[0] & 0xE0) >> 5;  // A[7:5]
+      int ways        = (abcd[1] & 0xFFC00000) >> 22; // B[31:22]
+      int partitions  = (abcd[1] & 0x003FF000) >> 12; // B[21:12]
+      int line_size   = (abcd[1] & 0x00000FFF) >>  0; // B[11:0]
+      int sets        = (abcd[2]);                    // C[31:0]
+
+      int cache_size = (ways+1) * (partitions+1) * (line_size+1) * (sets+1);
+
+      switch(cache_level)
+      {
+        case 1: l1 = cache_size; break;
+        case 2: l2 = cache_size; break;
+        case 3: l3 = cache_size; break;
+        default: break;
+      }
+    }
+    cache_id++;
+  } while(cache_type>0 && cache_id<16);
+}
+
+inline void queryCacheSizes_intel_codes(int& l1, int& l2, int& l3)
+{
+  int abcd[4];
+  abcd[0] = abcd[1] = abcd[2] = abcd[3] = 0;
+  l1 = l2 = l3 = 0;
+  EIGEN_CPUID(abcd,0x00000002,0);
+  unsigned char * bytes = reinterpret_cast<unsigned char *>(abcd)+2;
+  bool check_for_p2_core2 = false;
+  for(int i=0; i<14; ++i)
+  {
+    switch(bytes[i])
+    {
+      case 0x0A: l1 = 8; break;   // 0Ah   data L1 cache, 8 KB, 2 ways, 32 byte lines
+      case 0x0C: l1 = 16; break;  // 0Ch   data L1 cache, 16 KB, 4 ways, 32 byte lines
+      case 0x0E: l1 = 24; break;  // 0Eh   data L1 cache, 24 KB, 6 ways, 64 byte lines
+      case 0x10: l1 = 16; break;  // 10h   data L1 cache, 16 KB, 4 ways, 32 byte lines (IA-64)
+      case 0x15: l1 = 16; break;  // 15h   code L1 cache, 16 KB, 4 ways, 32 byte lines (IA-64)
+      case 0x2C: l1 = 32; break;  // 2Ch   data L1 cache, 32 KB, 8 ways, 64 byte lines
+      case 0x30: l1 = 32; break;  // 30h   code L1 cache, 32 KB, 8 ways, 64 byte lines
+      case 0x60: l1 = 16; break;  // 60h   data L1 cache, 16 KB, 8 ways, 64 byte lines, sectored
+      case 0x66: l1 = 8; break;   // 66h   data L1 cache, 8 KB, 4 ways, 64 byte lines, sectored
+      case 0x67: l1 = 16; break;  // 67h   data L1 cache, 16 KB, 4 ways, 64 byte lines, sectored
+      case 0x68: l1 = 32; break;  // 68h   data L1 cache, 32 KB, 4 ways, 64 byte lines, sectored
+      case 0x1A: l2 = 96; break;   // code and data L2 cache, 96 KB, 6 ways, 64 byte lines (IA-64)
+      case 0x22: l3 = 512; break;   // code and data L3 cache, 512 KB, 4 ways (!), 64 byte lines, dual-sectored
+      case 0x23: l3 = 1024; break;   // code and data L3 cache, 1024 KB, 8 ways, 64 byte lines, dual-sectored
+      case 0x25: l3 = 2048; break;   // code and data L3 cache, 2048 KB, 8 ways, 64 byte lines, dual-sectored
+      case 0x29: l3 = 4096; break;   // code and data L3 cache, 4096 KB, 8 ways, 64 byte lines, dual-sectored
+      case 0x39: l2 = 128; break;   // code and data L2 cache, 128 KB, 4 ways, 64 byte lines, sectored
+      case 0x3A: l2 = 192; break;   // code and data L2 cache, 192 KB, 6 ways, 64 byte lines, sectored
+      case 0x3B: l2 = 128; break;   // code and data L2 cache, 128 KB, 2 ways, 64 byte lines, sectored
+      case 0x3C: l2 = 256; break;   // code and data L2 cache, 256 KB, 4 ways, 64 byte lines, sectored
+      case 0x3D: l2 = 384; break;   // code and data L2 cache, 384 KB, 6 ways, 64 byte lines, sectored
+      case 0x3E: l2 = 512; break;   // code and data L2 cache, 512 KB, 4 ways, 64 byte lines, sectored
+      case 0x40: l2 = 0; break;   // no integrated L2 cache (P6 core) or L3 cache (P4 core)
+      case 0x41: l2 = 128; break;   // code and data L2 cache, 128 KB, 4 ways, 32 byte lines
+      case 0x42: l2 = 256; break;   // code and data L2 cache, 256 KB, 4 ways, 32 byte lines
+      case 0x43: l2 = 512; break;   // code and data L2 cache, 512 KB, 4 ways, 32 byte lines
+      case 0x44: l2 = 1024; break;   // code and data L2 cache, 1024 KB, 4 ways, 32 byte lines
+      case 0x45: l2 = 2048; break;   // code and data L2 cache, 2048 KB, 4 ways, 32 byte lines
+      case 0x46: l3 = 4096; break;   // code and data L3 cache, 4096 KB, 4 ways, 64 byte lines
+      case 0x47: l3 = 8192; break;   // code and data L3 cache, 8192 KB, 8 ways, 64 byte lines
+      case 0x48: l2 = 3072; break;   // code and data L2 cache, 3072 KB, 12 ways, 64 byte lines
+      case 0x49: if(l2!=0) l3 = 4096; else {check_for_p2_core2=true; l3 = l2 = 4096;} break;// code and data L3 cache, 4096 KB, 16 ways, 64 byte lines (P4) or L2 for core2
+      case 0x4A: l3 = 6144; break;   // code and data L3 cache, 6144 KB, 12 ways, 64 byte lines
+      case 0x4B: l3 = 8192; break;   // code and data L3 cache, 8192 KB, 16 ways, 64 byte lines
+      case 0x4C: l3 = 12288; break;   // code and data L3 cache, 12288 KB, 12 ways, 64 byte lines
+      case 0x4D: l3 = 16384; break;   // code and data L3 cache, 16384 KB, 16 ways, 64 byte lines
+      case 0x4E: l2 = 6144; break;   // code and data L2 cache, 6144 KB, 24 ways, 64 byte lines
+      case 0x78: l2 = 1024; break;   // code and data L2 cache, 1024 KB, 4 ways, 64 byte lines
+      case 0x79: l2 = 128; break;   // code and data L2 cache, 128 KB, 8 ways, 64 byte lines, dual-sectored
+      case 0x7A: l2 = 256; break;   // code and data L2 cache, 256 KB, 8 ways, 64 byte lines, dual-sectored
+      case 0x7B: l2 = 512; break;   // code and data L2 cache, 512 KB, 8 ways, 64 byte lines, dual-sectored
+      case 0x7C: l2 = 1024; break;   // code and data L2 cache, 1024 KB, 8 ways, 64 byte lines, dual-sectored
+      case 0x7D: l2 = 2048; break;   // code and data L2 cache, 2048 KB, 8 ways, 64 byte lines
+      case 0x7E: l2 = 256; break;   // code and data L2 cache, 256 KB, 8 ways, 128 byte lines, sect. (IA-64)
+      case 0x7F: l2 = 512; break;   // code and data L2 cache, 512 KB, 2 ways, 64 byte lines
+      case 0x80: l2 = 512; break;   // code and data L2 cache, 512 KB, 8 ways, 64 byte lines
+      case 0x81: l2 = 128; break;   // code and data L2 cache, 128 KB, 8 ways, 32 byte lines
+      case 0x82: l2 = 256; break;   // code and data L2 cache, 256 KB, 8 ways, 32 byte lines
+      case 0x83: l2 = 512; break;   // code and data L2 cache, 512 KB, 8 ways, 32 byte lines
+      case 0x84: l2 = 1024; break;   // code and data L2 cache, 1024 KB, 8 ways, 32 byte lines
+      case 0x85: l2 = 2048; break;   // code and data L2 cache, 2048 KB, 8 ways, 32 byte lines
+      case 0x86: l2 = 512; break;   // code and data L2 cache, 512 KB, 4 ways, 64 byte lines
+      case 0x87: l2 = 1024; break;   // code and data L2 cache, 1024 KB, 8 ways, 64 byte lines
+      case 0x88: l3 = 2048; break;   // code and data L3 cache, 2048 KB, 4 ways, 64 byte lines (IA-64)
+      case 0x89: l3 = 4096; break;   // code and data L3 cache, 4096 KB, 4 ways, 64 byte lines (IA-64)
+      case 0x8A: l3 = 8192; break;   // code and data L3 cache, 8192 KB, 4 ways, 64 byte lines (IA-64)
+      case 0x8D: l3 = 3072; break;   // code and data L3 cache, 3072 KB, 12 ways, 128 byte lines (IA-64)
+
+      default: break;
+    }
+  }
+  if(check_for_p2_core2 && l2 == l3)
+    l3 = 0;
+  l1 *= 1024;
+  l2 *= 1024;
+  l3 *= 1024;
+}
+
+inline void queryCacheSizes_intel(int& l1, int& l2, int& l3, int max_std_funcs)
+{
+  if(max_std_funcs>=4)
+    queryCacheSizes_intel_direct(l1,l2,l3);
+  else
+    queryCacheSizes_intel_codes(l1,l2,l3);
+}
+
+inline void queryCacheSizes_amd(int& l1, int& l2, int& l3)
+{
+  int abcd[4];
+  abcd[0] = abcd[1] = abcd[2] = abcd[3] = 0;
+  EIGEN_CPUID(abcd,0x80000005,0);
+  l1 = (abcd[2] >> 24) * 1024; // C[31:24] = L1 size in KB
+  abcd[0] = abcd[1] = abcd[2] = abcd[3] = 0;
+  EIGEN_CPUID(abcd,0x80000006,0);
+  l2 = (abcd[2] >> 16) * 1024; // C[31;16] = l2 cache size in KB
+  l3 = ((abcd[3] & 0xFFFC000) >> 18) * 512 * 1024; // D[31;18] = l3 cache size in 512KB
+}
+#endif
+
+/** \internal
+ * Queries and returns the cache sizes in Bytes of the L1, L2, and L3 data caches respectively */
+inline void queryCacheSizes(int& l1, int& l2, int& l3)
+{
+  #ifdef EIGEN_CPUID
+  int abcd[4];
+  const int GenuineIntel[] = {0x756e6547, 0x49656e69, 0x6c65746e};
+  const int AuthenticAMD[] = {0x68747541, 0x69746e65, 0x444d4163};
+  const int AMDisbetter_[] = {0x69444d41, 0x74656273, 0x21726574}; // "AMDisbetter!"
+
+  // identify the CPU vendor
+  EIGEN_CPUID(abcd,0x0,0);
+  int max_std_funcs = abcd[1];
+  if(cpuid_is_vendor(abcd,GenuineIntel))
+    queryCacheSizes_intel(l1,l2,l3,max_std_funcs);
+  else if(cpuid_is_vendor(abcd,AuthenticAMD) || cpuid_is_vendor(abcd,AMDisbetter_))
+    queryCacheSizes_amd(l1,l2,l3);
+  else
+    // by default let's use Intel's API
+    queryCacheSizes_intel(l1,l2,l3,max_std_funcs);
+
+  // here is the list of other vendors:
+//   ||cpuid_is_vendor(abcd,"VIA VIA VIA ")
+//   ||cpuid_is_vendor(abcd,"CyrixInstead")
+//   ||cpuid_is_vendor(abcd,"CentaurHauls")
+//   ||cpuid_is_vendor(abcd,"GenuineTMx86")
+//   ||cpuid_is_vendor(abcd,"TransmetaCPU")
+//   ||cpuid_is_vendor(abcd,"RiseRiseRise")
+//   ||cpuid_is_vendor(abcd,"Geode by NSC")
+//   ||cpuid_is_vendor(abcd,"SiS SiS SiS ")
+//   ||cpuid_is_vendor(abcd,"UMC UMC UMC ")
+//   ||cpuid_is_vendor(abcd,"NexGenDriven")
+  #else
+  l1 = l2 = l3 = -1;
+  #endif
+}
+
+/** \internal
+ * \returns the size in Bytes of the L1 data cache */
+inline int queryL1CacheSize()
+{
+  int l1(-1), l2, l3;
+  queryCacheSizes(l1,l2,l3);
+  return l1;
+}
+
+/** \internal
+ * \returns the size in Bytes of the L2 or L3 cache if this later is present */
+inline int queryTopLevelCacheSize()
+{
+  int l1, l2(-1), l3(-1);
+  queryCacheSizes(l1,l2,l3);
+  return (std::max)(l2,l3);
+}
+
+} // end namespace internal
+
+} // end namespace Eigen
+
+#endif // EIGEN_MEMORY_H
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/util/StaticAssert.h	(revision 3761)
@@ -0,0 +1,218 @@
+// This file is part of Eigen, a lightweight C++ template library
+// for linear algebra.
+//
+// Copyright (C) 2008 Gael Guennebaud <gael.guennebaud@inria.fr>
+// Copyright (C) 2008 Benoit Jacob <jacob.benoit.1@gmail.com>
+//
+// This Source Code Form is subject to the terms of the Mozilla
+// Public License v. 2.0. If a copy of the MPL was not distributed
+// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
+
+#ifndef EIGEN_STATIC_ASSERT_H
+#define EIGEN_STATIC_ASSERT_H
+
+/* Some notes on Eigen's static assertion mechanism:
+ *
+ *  - in EIGEN_STATIC_ASSERT(CONDITION,MSG) the parameter CONDITION must be a compile time boolean
+ *    expression, and MSG an enum listed in struct internal::static_assertion<true>
+ *
+ *  - define EIGEN_NO_STATIC_ASSERT to disable them (and save compilation time)
+ *    in that case, the static assertion is converted to the following runtime assert:
+ *      eigen_assert(CONDITION && "MSG")
+ *
+ *  - currently EIGEN_STATIC_ASSERT can only be used in function scope
+ *
+ */
+
+#ifndef EIGEN_STATIC_ASSERT
+#ifndef EIGEN_NO_STATIC_ASSERT
+
+  #if EIGEN_MAX_CPP_VER>=11 && (__has_feature(cxx_static_assert) || (defined(__cplusplus) && __cplusplus >= 201103L) || (EIGEN_COMP_MSVC >= 1600))
+
+    // if native static_assert is enabled, let's use it
+    #define EIGEN_STATIC_ASSERT(X,MSG) static_assert(X,#MSG);
+
+  #else // not CXX0X
+
+    namespace Eigen {
+
+    namespace internal {
+
+    template<bool condition>
+    struct static_assertion {};
+
+    template<>
+    struct static_assertion<true>
+    {
+      enum {
+        YOU_TRIED_CALLING_A_VECTOR_METHOD_ON_A_MATRIX=1,
+        YOU_MIXED_VECTORS_OF_DIFFERENT_SIZES=1,
+        YOU_MIXED_MATRICES_OF_DIFFERENT_SIZES=1,
+        THIS_METHOD_IS_ONLY_FOR_VECTORS_OF_A_SPECIFIC_SIZE=1,
+        THIS_METHOD_IS_ONLY_FOR_MATRICES_OF_A_SPECIFIC_SIZE=1,
+        THIS_METHOD_IS_ONLY_FOR_OBJECTS_OF_A_SPECIFIC_SIZE=1,
+        OUT_OF_RANGE_ACCESS=1,
+        YOU_MADE_A_PROGRAMMING_MISTAKE=1,
+        EIGEN_INTERNAL_ERROR_PLEASE_FILE_A_BUG_REPORT=1,
+        EIGEN_INTERNAL_COMPILATION_ERROR_OR_YOU_MADE_A_PROGRAMMING_MISTAKE=1,
+        YOU_CALLED_A_FIXED_SIZE_METHOD_ON_A_DYNAMIC_SIZE_MATRIX_OR_VECTOR=1,
+        YOU_CALLED_A_DYNAMIC_SIZE_METHOD_ON_A_FIXED_SIZE_MATRIX_OR_VECTOR=1,
+        UNALIGNED_LOAD_AND_STORE_OPERATIONS_UNIMPLEMENTED_ON_ALTIVEC=1,
+        THIS_FUNCTION_IS_NOT_FOR_INTEGER_NUMERIC_TYPES=1,
+        FLOATING_POINT_ARGUMENT_PASSED__INTEGER_WAS_EXPECTED=1,
+        NUMERIC_TYPE_MUST_BE_REAL=1,
+        COEFFICIENT_WRITE_ACCESS_TO_SELFADJOINT_NOT_SUPPORTED=1,
+        WRITING_TO_TRIANGULAR_PART_WITH_UNIT_DIAGONAL_IS_NOT_SUPPORTED=1,
+        THIS_METHOD_IS_ONLY_FOR_FIXED_SIZE=1,
+        INVALID_MATRIX_PRODUCT=1,
+        INVALID_VECTOR_VECTOR_PRODUCT__IF_YOU_WANTED_A_DOT_OR_COEFF_WISE_PRODUCT_YOU_MUST_USE_THE_EXPLICIT_FUNCTIONS=1,
+        INVALID_MATRIX_PRODUCT__IF_YOU_WANTED_A_COEFF_WISE_PRODUCT_YOU_MUST_USE_THE_EXPLICIT_FUNCTION=1,
+        YOU_MIXED_DIFFERENT_NUMERIC_TYPES__YOU_NEED_TO_USE_THE_CAST_METHOD_OF_MATRIXBASE_TO_CAST_NUMERIC_TYPES_EXPLICITLY=1,
+        THIS_METHOD_IS_ONLY_FOR_COLUMN_MAJOR_MATRICES=1,
+        THIS_METHOD_IS_ONLY_FOR_ROW_MAJOR_MATRICES=1,
+        INVALID_MATRIX_TEMPLATE_PARAMETERS=1,
+        INVALID_MATRIXBASE_TEMPLATE_PARAMETERS=1,
+        BOTH_MATRICES_MUST_HAVE_THE_SAME_STORAGE_ORDER=1,
+        THIS_METHOD_IS_ONLY_FOR_DIAGONAL_MATRIX=1,
+        THE_MATRIX_OR_EXPRESSION_THAT_YOU_PASSED_DOES_NOT_HAVE_THE_EXPECTED_TYPE=1,
+        THIS_METHOD_IS_ONLY_FOR_EXPRESSIONS_WITH_DIRECT_MEMORY_ACCESS_SUCH_AS_MAP_OR_PLAIN_MATRICES=1,
+        YOU_ALREADY_SPECIFIED_THIS_STRIDE=1,
+        INVALID_STORAGE_ORDER_FOR_THIS_VECTOR_EXPRESSION=1,
+        THE_BRACKET_OPERATOR_IS_ONLY_FOR_VECTORS__USE_THE_PARENTHESIS_OPERATOR_INSTEAD=1,
+        PACKET_ACCESS_REQUIRES_TO_HAVE_INNER_STRIDE_FIXED_TO_1=1,
+        THIS_METHOD_IS_ONLY_FOR_SPECIFIC_TRANSFORMATIONS=1,
+        YOU_CANNOT_MIX_ARRAYS_AND_MATRICES=1,
+        YOU_PERFORMED_AN_INVALID_TRANSFORMATION_CONVERSION=1,
+        THIS_EXPRESSION_IS_NOT_A_LVALUE__IT_IS_READ_ONLY=1,
+        YOU_ARE_TRYING_TO_USE_AN_INDEX_BASED_ACCESSOR_ON_AN_EXPRESSION_THAT_DOES_NOT_SUPPORT_THAT=1,
+        THIS_METHOD_IS_ONLY_FOR_1x1_EXPRESSIONS=1,
+        THIS_METHOD_IS_ONLY_FOR_INNER_OR_LAZY_PRODUCTS=1,
+        THIS_METHOD_IS_ONLY_FOR_EXPRESSIONS_OF_BOOL=1,
+        THIS_METHOD_IS_ONLY_FOR_ARRAYS_NOT_MATRICES=1,
+        YOU_PASSED_A_ROW_VECTOR_BUT_A_COLUMN_VECTOR_WAS_EXPECTED=1,
+        YOU_PASSED_A_COLUMN_VECTOR_BUT_A_ROW_VECTOR_WAS_EXPECTED=1,
+        THE_INDEX_TYPE_MUST_BE_A_SIGNED_TYPE=1,
+        THE_STORAGE_ORDER_OF_BOTH_SIDES_MUST_MATCH=1,
+        OBJECT_ALLOCATED_ON_STACK_IS_TOO_BIG=1,
+        IMPLICIT_CONVERSION_TO_SCALAR_IS_FOR_INNER_PRODUCT_ONLY=1,
+        STORAGE_LAYOUT_DOES_NOT_MATCH=1,
+        EIGEN_INTERNAL_ERROR_PLEASE_FILE_A_BUG_REPORT__INVALID_COST_VALUE=1,
+        THIS_COEFFICIENT_ACCESSOR_TAKING_ONE_ACCESS_IS_ONLY_FOR_EXPRESSIONS_ALLOWING_LINEAR_ACCESS=1,
+        MATRIX_FREE_CONJUGATE_GRADIENT_IS_COMPATIBLE_WITH_UPPER_UNION_LOWER_MODE_ONLY=1,
+        THIS_TYPE_IS_NOT_SUPPORTED=1,
+        STORAGE_KIND_MUST_MATCH=1,
+        STORAGE_INDEX_MUST_MATCH=1,
+        CHOLMOD_SUPPORTS_DOUBLE_PRECISION_ONLY=1,
+        SELFADJOINTVIEW_ACCEPTS_UPPER_AND_LOWER_MODE_ONLY=1
+      };
+    };
+
+    } // end namespace internal
+
+    } // end namespace Eigen
+
+    // Specialized implementation for MSVC to avoid "conditional
+    // expression is constant" warnings.  This implementation doesn't
+    // appear to work under GCC, hence the multiple implementations.
+    #if EIGEN_COMP_MSVC
+
+      #define EIGEN_STATIC_ASSERT(CONDITION,MSG) \
+        {Eigen::internal::static_assertion<bool(CONDITION)>::MSG;}
+
+    #else
+      // In some cases clang interprets bool(CONDITION) as function declaration
+      #define EIGEN_STATIC_ASSERT(CONDITION,MSG) \
+        if (Eigen::internal::static_assertion<static_cast<bool>(CONDITION)>::MSG) {}
+
+    #endif
+
+  #endif // not CXX0X
+
+#else // EIGEN_NO_STATIC_ASSERT
+
+  #define EIGEN_STATIC_ASSERT(CONDITION,MSG) eigen_assert((CONDITION) && #MSG);
+
+#endif // EIGEN_NO_STATIC_ASSERT
+#endif // EIGEN_STATIC_ASSERT
+
+// static assertion failing if the type \a TYPE is not a vector type
+#define EIGEN_STATIC_ASSERT_VECTOR_ONLY(TYPE) \
+  EIGEN_STATIC_ASSERT(TYPE::IsVectorAtCompileTime, \
+                      YOU_TRIED_CALLING_A_VECTOR_METHOD_ON_A_MATRIX)
+
+// static assertion failing if the type \a TYPE is not fixed-size
+#define EIGEN_STATIC_ASSERT_FIXED_SIZE(TYPE) \
+  EIGEN_STATIC_ASSERT(TYPE::SizeAtCompileTime!=Eigen::Dynamic, \
+                      YOU_CALLED_A_FIXED_SIZE_METHOD_ON_A_DYNAMIC_SIZE_MATRIX_OR_VECTOR)
+
+// static assertion failing if the type \a TYPE is not dynamic-size
+#define EIGEN_STATIC_ASSERT_DYNAMIC_SIZE(TYPE) \
+  EIGEN_STATIC_ASSERT(TYPE::SizeAtCompileTime==Eigen::Dynamic, \
+                      YOU_CALLED_A_DYNAMIC_SIZE_METHOD_ON_A_FIXED_SIZE_MATRIX_OR_VECTOR)
+
+// static assertion failing if the type \a TYPE is not a vector type of the given size
+#define EIGEN_STATIC_ASSERT_VECTOR_SPECIFIC_SIZE(TYPE, SIZE) \
+  EIGEN_STATIC_ASSERT(TYPE::IsVectorAtCompileTime && TYPE::SizeAtCompileTime==SIZE, \
+                      THIS_METHOD_IS_ONLY_FOR_VECTORS_OF_A_SPECIFIC_SIZE)
+
+// static assertion failing if the type \a TYPE is not a vector type of the given size
+#define EIGEN_STATIC_ASSERT_MATRIX_SPECIFIC_SIZE(TYPE, ROWS, COLS) \
+  EIGEN_STATIC_ASSERT(TYPE::RowsAtCompileTime==ROWS && TYPE::ColsAtCompileTime==COLS, \
+                      THIS_METHOD_IS_ONLY_FOR_MATRICES_OF_A_SPECIFIC_SIZE)
+
+// static assertion failing if the two vector expression types are not compatible (same fixed-size or dynamic size)
+#define EIGEN_STATIC_ASSERT_SAME_VECTOR_SIZE(TYPE0,TYPE1) \
+  EIGEN_STATIC_ASSERT( \
+      (int(TYPE0::SizeAtCompileTime)==Eigen::Dynamic \
+    || int(TYPE1::SizeAtCompileTime)==Eigen::Dynamic \
+    || int(TYPE0::SizeAtCompileTime)==int(TYPE1::SizeAtCompileTime)),\
+    YOU_MIXED_VECTORS_OF_DIFFERENT_SIZES)
+
+#define EIGEN_PREDICATE_SAME_MATRIX_SIZE(TYPE0,TYPE1) \
+     ( \
+        (int(Eigen::internal::size_of_xpr_at_compile_time<TYPE0>::ret)==0 && int(Eigen::internal::size_of_xpr_at_compile_time<TYPE1>::ret)==0) \
+    || (\
+          (int(TYPE0::RowsAtCompileTime)==Eigen::Dynamic \
+        || int(TYPE1::RowsAtCompileTime)==Eigen::Dynamic \
+        || int(TYPE0::RowsAtCompileTime)==int(TYPE1::RowsAtCompileTime)) \
+      &&  (int(TYPE0::ColsAtCompileTime)==Eigen::Dynamic \
+        || int(TYPE1::ColsAtCompileTime)==Eigen::Dynamic \
+        || int(TYPE0::ColsAtCompileTime)==int(TYPE1::ColsAtCompileTime))\
+       ) \
+     )
+
+#define EIGEN_STATIC_ASSERT_NON_INTEGER(TYPE) \
+    EIGEN_STATIC_ASSERT(!NumTraits<TYPE>::IsInteger, THIS_FUNCTION_IS_NOT_FOR_INTEGER_NUMERIC_TYPES)
+
+
+// static assertion failing if it is guaranteed at compile-time that the two matrix expression types have different sizes
+#define EIGEN_STATIC_ASSERT_SAME_MATRIX_SIZE(TYPE0,TYPE1) \
+  EIGEN_STATIC_ASSERT( \
+     EIGEN_PREDICATE_SAME_MATRIX_SIZE(TYPE0,TYPE1),\
+    YOU_MIXED_MATRICES_OF_DIFFERENT_SIZES)
+
+#define EIGEN_STATIC_ASSERT_SIZE_1x1(TYPE) \
+      EIGEN_STATIC_ASSERT((TYPE::RowsAtCompileTime == 1 || TYPE::RowsAtCompileTime == Dynamic) && \
+                          (TYPE::ColsAtCompileTime == 1 || TYPE::ColsAtCompileTime == Dynamic), \
+                          THIS_METHOD_IS_ONLY_FOR_1x1_EXPRESSIONS)
+
+#define EIGEN_STATIC_ASSERT_LVALUE(Derived) \
+      EIGEN_STATIC_ASSERT(Eigen::internal::is_lvalue<Derived>::value, \
+                          THIS_EXPRESSION_IS_NOT_A_LVALUE__IT_IS_READ_ONLY)
+
+#define EIGEN_STATIC_ASSERT_ARRAYXPR(Derived) \
+      EIGEN_STATIC_ASSERT((Eigen::internal::is_same<typename Eigen::internal::traits<Derived>::XprKind, ArrayXpr>::value), \
+                          THIS_METHOD_IS_ONLY_FOR_ARRAYS_NOT_MATRICES)
+
+#define EIGEN_STATIC_ASSERT_SAME_XPR_KIND(Derived1, Derived2) \
+      EIGEN_STATIC_ASSERT((Eigen::internal::is_same<typename Eigen::internal::traits<Derived1>::XprKind, \
+                                             typename Eigen::internal::traits<Derived2>::XprKind \
+                                            >::value), \
+                          YOU_CANNOT_MIX_ARRAYS_AND_MATRICES)
+
+// Check that a cost value is positive, and that is stay within a reasonable range
+// TODO this check could be enabled for internal debugging only
+#define EIGEN_INTERNAL_CHECK_COST_VALUE(C) \
+      EIGEN_STATIC_ASSERT((C)>=0 && (C)<=HugeCost*HugeCost, EIGEN_INTERNAL_ERROR_PLEASE_FILE_A_BUG_REPORT__INVALID_COST_VALUE);
+
+#endif // EIGEN_STATIC_ASSERT_H
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h	(revision 3761)
@@ -0,0 +1,838 @@
+// This file is part of Eigen, a lightweight C++ template library
+// for linear algebra.
+//
+// Copyright (C) 2008 Gael Guennebaud <gael.guennebaud@inria.fr>
+// Copyright (C) 2006-2008 Benoit Jacob <jacob.benoit.1@gmail.com>
+//
+// This Source Code Form is subject to the terms of the Mozilla
+// Public License v. 2.0. If a copy of the MPL was not distributed
+// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
+
+#ifndef EIGEN_XPRHELPER_H
+#define EIGEN_XPRHELPER_H
+
+// just a workaround because GCC seems to not really like empty structs
+// FIXME: gcc 4.3 generates bad code when strict-aliasing is enabled
+// so currently we simply disable this optimization for gcc 4.3
+#if EIGEN_COMP_GNUC && !EIGEN_GNUC_AT(4,3)
+  #define EIGEN_EMPTY_STRUCT_CTOR(X) \
+    EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE X() {} \
+    EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE X(const X& ) {}
+#else
+  #define EIGEN_EMPTY_STRUCT_CTOR(X)
+#endif
+
+namespace Eigen {
+
+namespace internal {
+
+template<typename IndexDest, typename IndexSrc>
+EIGEN_DEVICE_FUNC
+inline IndexDest convert_index(const IndexSrc& idx) {
+  // for sizeof(IndexDest)>=sizeof(IndexSrc) compilers should be able to optimize this away:
+  eigen_internal_assert(idx <= NumTraits<IndexDest>::highest() && "Index value to big for target type");
+  return IndexDest(idx);
+}
+
+// true if T can be considered as an integral index (i.e., and integral type or enum)
+template<typename T> struct is_valid_index_type
+{
+  enum { value =
+#if EIGEN_HAS_TYPE_TRAITS
+    internal::is_integral<T>::value || std::is_enum<T>::value
+#elif EIGEN_COMP_MSVC
+    internal::is_integral<T>::value || __is_enum(T)
+#else
+    // without C++11, we use is_convertible to Index instead of is_integral in order to treat enums as Index.
+    internal::is_convertible<T,Index>::value && !internal::is_same<T,float>::value && !is_same<T,double>::value
+#endif
+  };
+};
+
+// promote_scalar_arg is an helper used in operation between an expression and a scalar, like:
+//    expression * scalar
+// Its role is to determine how the type T of the scalar operand should be promoted given the scalar type ExprScalar of the given expression.
+// The IsSupported template parameter must be provided by the caller as: internal::has_ReturnType<ScalarBinaryOpTraits<ExprScalar,T,op> >::value using the proper order for ExprScalar and T.
+// Then the logic is as follows:
+//  - if the operation is natively supported as defined by IsSupported, then the scalar type is not promoted, and T is returned.
+//  - otherwise, NumTraits<ExprScalar>::Literal is returned if T is implicitly convertible to NumTraits<ExprScalar>::Literal AND that this does not imply a float to integer conversion.
+//  - otherwise, ExprScalar is returned if T is implicitly convertible to ExprScalar AND that this does not imply a float to integer conversion.
+//  - In all other cases, the promoted type is not defined, and the respective operation is thus invalid and not available (SFINAE).
+template<typename ExprScalar,typename T, bool IsSupported>
+struct promote_scalar_arg;
+
+template<typename S,typename T>
+struct promote_scalar_arg<S,T,true>
+{
+  typedef T type;
+};
+
+// Recursively check safe conversion to PromotedType, and then ExprScalar if they are different.
+template<typename ExprScalar,typename T,typename PromotedType,
+  bool ConvertibleToLiteral = internal::is_convertible<T,PromotedType>::value,
+  bool IsSafe = NumTraits<T>::IsInteger || !NumTraits<PromotedType>::IsInteger>
+struct promote_scalar_arg_unsupported;
+
+// Start recursion with NumTraits<ExprScalar>::Literal
+template<typename S,typename T>
+struct promote_scalar_arg<S,T,false> : promote_scalar_arg_unsupported<S,T,typename NumTraits<S>::Literal> {};
+
+// We found a match!
+template<typename S,typename T, typename PromotedType>
+struct promote_scalar_arg_unsupported<S,T,PromotedType,true,true>
+{
+  typedef PromotedType type;
+};
+
+// No match, but no real-to-integer issues, and ExprScalar and current PromotedType are different,
+// so let's try to promote to ExprScalar
+template<typename ExprScalar,typename T, typename PromotedType>
+struct promote_scalar_arg_unsupported<ExprScalar,T,PromotedType,false,true>
+   : promote_scalar_arg_unsupported<ExprScalar,T,ExprScalar>
+{};
+
+// Unsafe real-to-integer, let's stop.
+template<typename S,typename T, typename PromotedType, bool ConvertibleToLiteral>
+struct promote_scalar_arg_unsupported<S,T,PromotedType,ConvertibleToLiteral,false> {};
+
+// T is not even convertible to ExprScalar, let's stop.
+template<typename S,typename T>
+struct promote_scalar_arg_unsupported<S,T,S,false,true> {};
+
+//classes inheriting no_assignment_operator don't generate a default operator=.
+class no_assignment_operator
+{
+  private:
+    no_assignment_operator& operator=(const no_assignment_operator&);
+  protected:
+    EIGEN_DEFAULT_COPY_CONSTRUCTOR(no_assignment_operator)
+    EIGEN_DEFAULT_EMPTY_CONSTRUCTOR_AND_DESTRUCTOR(no_assignment_operator)
+};
+
+/** \internal return the index type with the largest number of bits */
+template<typename I1, typename I2>
+struct promote_index_type
+{
+  typedef typename conditional<(sizeof(I1)<sizeof(I2)), I2, I1>::type type;
+};
+
+/** \internal If the template parameter Value is Dynamic, this class is just a wrapper around a T variable that
+  * can be accessed using value() and setValue().
+  * Otherwise, this class is an empty structure and value() just returns the template parameter Value.
+  */
+template<typename T, int Value> class variable_if_dynamic
+{
+  public:
+    EIGEN_EMPTY_STRUCT_CTOR(variable_if_dynamic)
+    EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit variable_if_dynamic(T v) { EIGEN_ONLY_USED_FOR_DEBUG(v); eigen_assert(v == T(Value)); }
+    EIGEN_DEVICE_FUNC static EIGEN_STRONG_INLINE T value() { return T(Value); }
+    EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE void setValue(T) {}
+};
+
+template<typename T> class variable_if_dynamic<T, Dynamic>
+{
+    T m_value;
+    EIGEN_DEVICE_FUNC variable_if_dynamic() { eigen_assert(false); }
+  public:
+    EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit variable_if_dynamic(T value) : m_value(value) {}
+    EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE T value() const { return m_value; }
+    EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE void setValue(T value) { m_value = value; }
+};
+
+/** \internal like variable_if_dynamic but for DynamicIndex
+  */
+template<typename T, int Value> class variable_if_dynamicindex
+{
+  public:
+    EIGEN_EMPTY_STRUCT_CTOR(variable_if_dynamicindex)
+    EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit variable_if_dynamicindex(T v) { EIGEN_ONLY_USED_FOR_DEBUG(v); eigen_assert(v == T(Value)); }
+    EIGEN_DEVICE_FUNC static EIGEN_STRONG_INLINE T value() { return T(Value); }
+    EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE void setValue(T) {}
+};
+
+template<typename T> class variable_if_dynamicindex<T, DynamicIndex>
+{
+    T m_value;
+    EIGEN_DEVICE_FUNC variable_if_dynamicindex() { eigen_assert(false); }
+  public:
+    EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit variable_if_dynamicindex(T value) : m_value(value) {}
+    EIGEN_DEVICE_FUNC T EIGEN_STRONG_INLINE value() const { return m_value; }
+    EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE void setValue(T value) { m_value = value; }
+};
+
+template<typename T> struct functor_traits
+{
+  enum
+  {
+    Cost = 10,
+    PacketAccess = false,
+    IsRepeatable = false
+  };
+};
+
+template<typename T> struct packet_traits;
+
+template<typename T> struct unpacket_traits
+{
+  typedef T type;
+  typedef T half;
+  enum
+  {
+    size = 1,
+    alignment = 1
+  };
+};
+
+template<int Size, typename PacketType,
+         bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
+struct find_best_packet_helper;
+
+template< int Size, typename PacketType>
+struct find_best_packet_helper<Size,PacketType,true>
+{
+  typedef PacketType type;
+};
+
+template<int Size, typename PacketType>
+struct find_best_packet_helper<Size,PacketType,false>
+{
+  typedef typename find_best_packet_helper<Size,typename unpacket_traits<PacketType>::half>::type type;
+};
+
+template<typename T, int Size>
+struct find_best_packet
+{
+  typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
+};
+
+#if EIGEN_MAX_STATIC_ALIGN_BYTES>0
+template<int ArrayBytes, int AlignmentBytes,
+         bool Match     =  bool((ArrayBytes%AlignmentBytes)==0),
+         bool TryHalf   =  bool(EIGEN_MIN_ALIGN_BYTES<AlignmentBytes) >
+struct compute_default_alignment_helper
+{
+  enum { value = 0 };
+};
+
+template<int ArrayBytes, int AlignmentBytes, bool TryHalf>
+struct compute_default_alignment_helper<ArrayBytes, AlignmentBytes, true, TryHalf> // Match
+{
+  enum { value = AlignmentBytes };
+};
+
+template<int ArrayBytes, int AlignmentBytes>
+struct compute_default_alignment_helper<ArrayBytes, AlignmentBytes, false, true> // Try-half
+{
+  // current packet too large, try with an half-packet
+  enum { value = compute_default_alignment_helper<ArrayBytes, AlignmentBytes/2>::value };
+};
+#else
+// If static alignment is disabled, no need to bother.
+// This also avoids a division by zero in "bool Match =  bool((ArrayBytes%AlignmentBytes)==0)"
+template<int ArrayBytes, int AlignmentBytes>
+struct compute_default_alignment_helper
+{
+  enum { value = 0 };
+};
+#endif
+
+template<typename T, int Size> struct compute_default_alignment {
+  enum { value = compute_default_alignment_helper<Size*sizeof(T),EIGEN_MAX_STATIC_ALIGN_BYTES>::value };
+};
+
+template<typename T> struct compute_default_alignment<T,Dynamic> {
+  enum { value = EIGEN_MAX_ALIGN_BYTES };
+};
+
+template<typename _Scalar, int _Rows, int _Cols,
+         int _Options = AutoAlign |
+                          ( (_Rows==1 && _Cols!=1) ? RowMajor
+                          : (_Cols==1 && _Rows!=1) ? ColMajor
+                          : EIGEN_DEFAULT_MATRIX_STORAGE_ORDER_OPTION ),
+         int _MaxRows = _Rows,
+         int _MaxCols = _Cols
+> class make_proper_matrix_type
+{
+    enum {
+      IsColVector = _Cols==1 && _Rows!=1,
+      IsRowVector = _Rows==1 && _Cols!=1,
+      Options = IsColVector ? (_Options | ColMajor) & ~RowMajor
+              : IsRowVector ? (_Options | RowMajor) & ~ColMajor
+              : _Options
+    };
+  public:
+    typedef Matrix<_Scalar, _Rows, _Cols, Options, _MaxRows, _MaxCols> type;
+};
+
+template<typename Scalar, int Rows, int Cols, int Options, int MaxRows, int MaxCols>
+class compute_matrix_flags
+{
+    enum { row_major_bit = Options&RowMajor ? RowMajorBit : 0 };
+  public:
+    // FIXME currently we still have to handle DirectAccessBit at the expression level to handle DenseCoeffsBase<>
+    // and then propagate this information to the evaluator's flags.
+    // However, I (Gael) think that DirectAccessBit should only matter at the evaluation stage.
+    enum { ret = DirectAccessBit | LvalueBit | NestByRefBit | row_major_bit };
+};
+
+template<int _Rows, int _Cols> struct size_at_compile_time
+{
+  enum { ret = (_Rows==Dynamic || _Cols==Dynamic) ? Dynamic : _Rows * _Cols };
+};
+
+template<typename XprType> struct size_of_xpr_at_compile_time
+{
+  enum { ret = size_at_compile_time<traits<XprType>::RowsAtCompileTime,traits<XprType>::ColsAtCompileTime>::ret };
+};
+
+/* plain_matrix_type : the difference from eval is that plain_matrix_type is always a plain matrix type,
+ * whereas eval is a const reference in the case of a matrix
+ */
+
+template<typename T, typename StorageKind = typename traits<T>::StorageKind> struct plain_matrix_type;
+template<typename T, typename BaseClassType, int Flags> struct plain_matrix_type_dense;
+template<typename T> struct plain_matrix_type<T,Dense>
+{
+  typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, traits<T>::Flags>::type type;
+};
+template<typename T> struct plain_matrix_type<T,DiagonalShape>
+{
+  typedef typename T::PlainObject type;
+};
+
+template<typename T, int Flags> struct plain_matrix_type_dense<T,MatrixXpr,Flags>
+{
+  typedef Matrix<typename traits<T>::Scalar,
+                traits<T>::RowsAtCompileTime,
+                traits<T>::ColsAtCompileTime,
+                AutoAlign | (Flags&RowMajorBit ? RowMajor : ColMajor),
+                traits<T>::MaxRowsAtCompileTime,
+                traits<T>::MaxColsAtCompileTime
+          > type;
+};
+
+template<typename T, int Flags> struct plain_matrix_type_dense<T,ArrayXpr,Flags>
+{
+  typedef Array<typename traits<T>::Scalar,
+                traits<T>::RowsAtCompileTime,
+                traits<T>::ColsAtCompileTime,
+                AutoAlign | (Flags&RowMajorBit ? RowMajor : ColMajor),
+                traits<T>::MaxRowsAtCompileTime,
+                traits<T>::MaxColsAtCompileTime
+          > type;
+};
+
+/* eval : the return type of eval(). For matrices, this is just a const reference
+ * in order to avoid a useless copy
+ */
+
+template<typename T, typename StorageKind = typename traits<T>::StorageKind> struct eval;
+
+template<typename T> struct eval<T,Dense>
+{
+  typedef typename plain_matrix_type<T>::type type;
+//   typedef typename T::PlainObject type;
+//   typedef T::Matrix<typename traits<T>::Scalar,
+//                 traits<T>::RowsAtCompileTime,
+//                 traits<T>::ColsAtCompileTime,
+//                 AutoAlign | (traits<T>::Flags&RowMajorBit ? RowMajor : ColMajor),
+//                 traits<T>::MaxRowsAtCompileTime,
+//                 traits<T>::MaxColsAtCompileTime
+//           > type;
+};
+
+template<typename T> struct eval<T,DiagonalShape>
+{
+  typedef typename plain_matrix_type<T>::type type;
+};
+
+// for matrices, no need to evaluate, just use a const reference to avoid a useless copy
+template<typename _Scalar, int _Rows, int _Cols, int _Options, int _MaxRows, int _MaxCols>
+struct eval<Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>, Dense>
+{
+  typedef const Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& type;
+};
+
+template<typename _Scalar, int _Rows, int _Cols, int _Options, int _MaxRows, int _MaxCols>
+struct eval<Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>, Dense>
+{
+  typedef const Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& type;
+};
+
+
+/* similar to plain_matrix_type, but using the evaluator's Flags */
+template<typename T, typename StorageKind = typename traits<T>::StorageKind> struct plain_object_eval;
+
+template<typename T>
+struct plain_object_eval<T,Dense>
+{
+  typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type;
+};
+
+
+/* plain_matrix_type_column_major : same as plain_matrix_type but guaranteed to be column-major
+ */
+template<typename T> struct plain_matrix_type_column_major
+{
+  enum { Rows = traits<T>::RowsAtCompileTime,
+         Cols = traits<T>::ColsAtCompileTime,
+         MaxRows = traits<T>::MaxRowsAtCompileTime,
+         MaxCols = traits<T>::MaxColsAtCompileTime
+  };
+  typedef Matrix<typename traits<T>::Scalar,
+                Rows,
+                Cols,
+                (MaxRows==1&&MaxCols!=1) ? RowMajor : ColMajor,
+                MaxRows,
+                MaxCols
+          > type;
+};
+
+/* plain_matrix_type_row_major : same as plain_matrix_type but guaranteed to be row-major
+ */
+template<typename T> struct plain_matrix_type_row_major
+{
+  enum { Rows = traits<T>::RowsAtCompileTime,
+         Cols = traits<T>::ColsAtCompileTime,
+         MaxRows = traits<T>::MaxRowsAtCompileTime,
+         MaxCols = traits<T>::MaxColsAtCompileTime
+  };
+  typedef Matrix<typename traits<T>::Scalar,
+                Rows,
+                Cols,
+                (MaxCols==1&&MaxRows!=1) ? RowMajor : ColMajor,
+                MaxRows,
+                MaxCols
+          > type;
+};
+
+/** \internal The reference selector for template expressions. The idea is that we don't
+  * need to use references for expressions since they are light weight proxy
+  * objects which should generate no copying overhead. */
+template <typename T>
+struct ref_selector
+{
+  typedef typename conditional<
+    bool(traits<T>::Flags & NestByRefBit),
+    T const&,
+    const T
+  >::type type;
+  
+  typedef typename conditional<
+    bool(traits<T>::Flags & NestByRefBit),
+    T &,
+    T
+  >::type non_const_type;
+};
+
+/** \internal Adds the const qualifier on the value-type of T2 if and only if T1 is a const type */
+template<typename T1, typename T2>
+struct transfer_constness
+{
+  typedef typename conditional<
+    bool(internal::is_const<T1>::value),
+    typename internal::add_const_on_value_type<T2>::type,
+    T2
+  >::type type;
+};
+
+
+// However, we still need a mechanism to detect whether an expression which is evaluated multiple time
+// has to be evaluated into a temporary.
+// That's the purpose of this new nested_eval helper:
+/** \internal Determines how a given expression should be nested when evaluated multiple times.
+  * For example, when you do a * (b+c), Eigen will determine how the expression b+c should be
+  * evaluated into the bigger product expression. The choice is between nesting the expression b+c as-is, or
+  * evaluating that expression b+c into a temporary variable d, and nest d so that the resulting expression is
+  * a*d. Evaluating can be beneficial for example if every coefficient access in the resulting expression causes
+  * many coefficient accesses in the nested expressions -- as is the case with matrix product for example.
+  *
+  * \tparam T the type of the expression being nested.
+  * \tparam n the number of coefficient accesses in the nested expression for each coefficient access in the bigger expression.
+  * \tparam PlainObject the type of the temporary if needed.
+  */
+template<typename T, int n, typename PlainObject = typename plain_object_eval<T>::type> struct nested_eval
+{
+  enum {
+    ScalarReadCost = NumTraits<typename traits<T>::Scalar>::ReadCost,
+    CoeffReadCost = evaluator<T>::CoeffReadCost,  // NOTE What if an evaluator evaluate itself into a tempory?
+                                                  //      Then CoeffReadCost will be small (e.g., 1) but we still have to evaluate, especially if n>1.
+                                                  //      This situation is already taken care by the EvalBeforeNestingBit flag, which is turned ON
+                                                  //      for all evaluator creating a temporary. This flag is then propagated by the parent evaluators.
+                                                  //      Another solution could be to count the number of temps?
+    NAsInteger = n == Dynamic ? HugeCost : n,
+    CostEval   = (NAsInteger+1) * ScalarReadCost + CoeffReadCost,
+    CostNoEval = NAsInteger * CoeffReadCost,
+    Evaluate = (int(evaluator<T>::Flags) & EvalBeforeNestingBit) || (int(CostEval) < int(CostNoEval))
+  };
+
+  typedef typename conditional<Evaluate, PlainObject, typename ref_selector<T>::type>::type type;
+};
+
+template<typename T>
+EIGEN_DEVICE_FUNC
+inline T* const_cast_ptr(const T* ptr)
+{
+  return const_cast<T*>(ptr);
+}
+
+template<typename Derived, typename XprKind = typename traits<Derived>::XprKind>
+struct dense_xpr_base
+{
+  /* dense_xpr_base should only ever be used on dense expressions, thus falling either into the MatrixXpr or into the ArrayXpr cases */
+};
+
+template<typename Derived>
+struct dense_xpr_base<Derived, MatrixXpr>
+{
+  typedef MatrixBase<Derived> type;
+};
+
+template<typename Derived>
+struct dense_xpr_base<Derived, ArrayXpr>
+{
+  typedef ArrayBase<Derived> type;
+};
+
+template<typename Derived, typename XprKind = typename traits<Derived>::XprKind, typename StorageKind = typename traits<Derived>::StorageKind>
+struct generic_xpr_base;
+
+template<typename Derived, typename XprKind>
+struct generic_xpr_base<Derived, XprKind, Dense>
+{
+  typedef typename dense_xpr_base<Derived,XprKind>::type type;
+};
+
+template<typename XprType, typename CastType> struct cast_return_type
+{
+  typedef typename XprType::Scalar CurrentScalarType;
+  typedef typename remove_all<CastType>::type _CastType;
+  typedef typename _CastType::Scalar NewScalarType;
+  typedef typename conditional<is_same<CurrentScalarType,NewScalarType>::value,
+                              const XprType&,CastType>::type type;
+};
+
+template <typename A, typename B> struct promote_storage_type;
+
+template <typename A> struct promote_storage_type<A,A>
+{
+  typedef A ret;
+};
+template <typename A> struct promote_storage_type<A, const A>
+{
+  typedef A ret;
+};
+template <typename A> struct promote_storage_type<const A, A>
+{
+  typedef A ret;
+};
+
+/** \internal Specify the "storage kind" of applying a coefficient-wise
+  * binary operations between two expressions of kinds A and B respectively.
+  * The template parameter Functor permits to specialize the resulting storage kind wrt to
+  * the functor.
+  * The default rules are as follows:
+  * \code
+  * A      op A      -> A
+  * A      op dense  -> dense
+  * dense  op B      -> dense
+  * sparse op dense  -> sparse
+  * dense  op sparse -> sparse
+  * \endcode
+  */
+template <typename A, typename B, typename Functor> struct cwise_promote_storage_type;
+
+template <typename A, typename Functor>                   struct cwise_promote_storage_type<A,A,Functor>                                      { typedef A      ret; };
+template <typename Functor>                               struct cwise_promote_storage_type<Dense,Dense,Functor>                              { typedef Dense  ret; };
+template <typename A, typename Functor>                   struct cwise_promote_storage_type<A,Dense,Functor>                                  { typedef Dense  ret; };
+template <typename B, typename Functor>                   struct cwise_promote_storage_type<Dense,B,Functor>                                  { typedef Dense  ret; };
+template <typename Functor>                               struct cwise_promote_storage_type<Sparse,Dense,Functor>                             { typedef Sparse ret; };
+template <typename Functor>                               struct cwise_promote_storage_type<Dense,Sparse,Functor>                             { typedef Sparse ret; };
+
+template <typename LhsKind, typename RhsKind, int LhsOrder, int RhsOrder> struct cwise_promote_storage_order {
+  enum { value = LhsOrder };
+};
+
+template <typename LhsKind, int LhsOrder, int RhsOrder>   struct cwise_promote_storage_order<LhsKind,Sparse,LhsOrder,RhsOrder>                { enum { value = RhsOrder }; };
+template <typename RhsKind, int LhsOrder, int RhsOrder>   struct cwise_promote_storage_order<Sparse,RhsKind,LhsOrder,RhsOrder>                { enum { value = LhsOrder }; };
+template <int Order>                                      struct cwise_promote_storage_order<Sparse,Sparse,Order,Order>                       { enum { value = Order }; };
+
+
+/** \internal Specify the "storage kind" of multiplying an expression of kind A with kind B.
+  * The template parameter ProductTag permits to specialize the resulting storage kind wrt to
+  * some compile-time properties of the product: GemmProduct, GemvProduct, OuterProduct, InnerProduct.
+  * The default rules are as follows:
+  * \code
+  *  K * K            -> K
+  *  dense * K        -> dense
+  *  K * dense        -> dense
+  *  diag * K         -> K
+  *  K * diag         -> K
+  *  Perm * K         -> K
+  * K * Perm          -> K
+  * \endcode
+  */
+template <typename A, typename B, int ProductTag> struct product_promote_storage_type;
+
+template <typename A, int ProductTag> struct product_promote_storage_type<A,                  A,                  ProductTag> { typedef A     ret;};
+template <int ProductTag>             struct product_promote_storage_type<Dense,              Dense,              ProductTag> { typedef Dense ret;};
+template <typename A, int ProductTag> struct product_promote_storage_type<A,                  Dense,              ProductTag> { typedef Dense ret; };
+template <typename B, int ProductTag> struct product_promote_storage_type<Dense,              B,                  ProductTag> { typedef Dense ret; };
+
+template <typename A, int ProductTag> struct product_promote_storage_type<A,                  DiagonalShape,      ProductTag> { typedef A ret; };
+template <typename B, int ProductTag> struct product_promote_storage_type<DiagonalShape,      B,                  ProductTag> { typedef B ret; };
+template <int ProductTag>             struct product_promote_storage_type<Dense,              DiagonalShape,      ProductTag> { typedef Dense ret; };
+template <int ProductTag>             struct product_promote_storage_type<DiagonalShape,      Dense,              ProductTag> { typedef Dense ret; };
+
+template <typename A, int ProductTag> struct product_promote_storage_type<A,                  PermutationStorage, ProductTag> { typedef A ret; };
+template <typename B, int ProductTag> struct product_promote_storage_type<PermutationStorage, B,                  ProductTag> { typedef B ret; };
+template <int ProductTag>             struct product_promote_storage_type<Dense,              PermutationStorage, ProductTag> { typedef Dense ret; };
+template <int ProductTag>             struct product_promote_storage_type<PermutationStorage, Dense,              ProductTag> { typedef Dense ret; };
+
+/** \internal gives the plain matrix or array type to store a row/column/diagonal of a matrix type.
+  * \tparam Scalar optional parameter allowing to pass a different scalar type than the one of the MatrixType.
+  */
+template<typename ExpressionType, typename Scalar = typename ExpressionType::Scalar>
+struct plain_row_type
+{
+  typedef Matrix<Scalar, 1, ExpressionType::ColsAtCompileTime,
+                 ExpressionType::PlainObject::Options | RowMajor, 1, ExpressionType::MaxColsAtCompileTime> MatrixRowType;
+  typedef Array<Scalar, 1, ExpressionType::ColsAtCompileTime,
+                 ExpressionType::PlainObject::Options | RowMajor, 1, ExpressionType::MaxColsAtCompileTime> ArrayRowType;
+
+  typedef typename conditional<
+    is_same< typename traits<ExpressionType>::XprKind, MatrixXpr >::value,
+    MatrixRowType,
+    ArrayRowType 
+  >::type type;
+};
+
+template<typename ExpressionType, typename Scalar = typename ExpressionType::Scalar>
+struct plain_col_type
+{
+  typedef Matrix<Scalar, ExpressionType::RowsAtCompileTime, 1,
+                 ExpressionType::PlainObject::Options & ~RowMajor, ExpressionType::MaxRowsAtCompileTime, 1> MatrixColType;
+  typedef Array<Scalar, ExpressionType::RowsAtCompileTime, 1,
+                 ExpressionType::PlainObject::Options & ~RowMajor, ExpressionType::MaxRowsAtCompileTime, 1> ArrayColType;
+
+  typedef typename conditional<
+    is_same< typename traits<ExpressionType>::XprKind, MatrixXpr >::value,
+    MatrixColType,
+    ArrayColType 
+  >::type type;
+};
+
+template<typename ExpressionType, typename Scalar = typename ExpressionType::Scalar>
+struct plain_diag_type
+{
+  enum { diag_size = EIGEN_SIZE_MIN_PREFER_DYNAMIC(ExpressionType::RowsAtCompileTime, ExpressionType::ColsAtCompileTime),
+         max_diag_size = EIGEN_SIZE_MIN_PREFER_FIXED(ExpressionType::MaxRowsAtCompileTime, ExpressionType::MaxColsAtCompileTime)
+  };
+  typedef Matrix<Scalar, diag_size, 1, ExpressionType::PlainObject::Options & ~RowMajor, max_diag_size, 1> MatrixDiagType;
+  typedef Array<Scalar, diag_size, 1, ExpressionType::PlainObject::Options & ~RowMajor, max_diag_size, 1> ArrayDiagType;
+
+  typedef typename conditional<
+    is_same< typename traits<ExpressionType>::XprKind, MatrixXpr >::value,
+    MatrixDiagType,
+    ArrayDiagType 
+  >::type type;
+};
+
+template<typename Expr,typename Scalar = typename Expr::Scalar>
+struct plain_constant_type
+{
+  enum { Options = (traits<Expr>::Flags&RowMajorBit)?RowMajor:0 };
+
+  typedef Array<Scalar,  traits<Expr>::RowsAtCompileTime,   traits<Expr>::ColsAtCompileTime,
+                Options, traits<Expr>::MaxRowsAtCompileTime,traits<Expr>::MaxColsAtCompileTime> array_type;
+
+  typedef Matrix<Scalar,  traits<Expr>::RowsAtCompileTime,   traits<Expr>::ColsAtCompileTime,
+                 Options, traits<Expr>::MaxRowsAtCompileTime,traits<Expr>::MaxColsAtCompileTime> matrix_type;
+
+  typedef CwiseNullaryOp<scalar_constant_op<Scalar>, const typename conditional<is_same< typename traits<Expr>::XprKind, MatrixXpr >::value, matrix_type, array_type>::type > type;
+};
+
+template<typename ExpressionType>
+struct is_lvalue
+{
+  enum { value = (!bool(is_const<ExpressionType>::value)) &&
+                 bool(traits<ExpressionType>::Flags & LvalueBit) };
+};
+
+template<typename T> struct is_diagonal
+{ enum { ret = false }; };
+
+template<typename T> struct is_diagonal<DiagonalBase<T> >
+{ enum { ret = true }; };
+
+template<typename T> struct is_diagonal<DiagonalWrapper<T> >
+{ enum { ret = true }; };
+
+template<typename T, int S> struct is_diagonal<DiagonalMatrix<T,S> >
+{ enum { ret = true }; };
+
+template<typename S1, typename S2> struct glue_shapes;
+template<> struct glue_shapes<DenseShape,TriangularShape> { typedef TriangularShape type;  };
+
+template<typename T1, typename T2>
+bool is_same_dense(const T1 &mat1, const T2 &mat2, typename enable_if<has_direct_access<T1>::ret&&has_direct_access<T2>::ret, T1>::type * = 0)
+{
+  return (mat1.data()==mat2.data()) && (mat1.innerStride()==mat2.innerStride()) && (mat1.outerStride()==mat2.outerStride());
+}
+
+template<typename T1, typename T2>
+bool is_same_dense(const T1 &, const T2 &, typename enable_if<!(has_direct_access<T1>::ret&&has_direct_access<T2>::ret), T1>::type * = 0)
+{
+  return false;
+}
+
+// Internal helper defining the cost of a scalar division for the type T.
+// The default heuristic can be specialized for each scalar type and architecture.
+template<typename T,bool Vectorized=false,typename EnaleIf = void>
+struct scalar_div_cost {
+  enum { value = 8*NumTraits<T>::MulCost };
+};
+
+template<typename T,bool Vectorized>
+struct scalar_div_cost<std::complex<T>, Vectorized> {
+  enum { value = 2*scalar_div_cost<T>::value
+               + 6*NumTraits<T>::MulCost
+               + 3*NumTraits<T>::AddCost
+  };
+};
+
+
+template<bool Vectorized>
+struct scalar_div_cost<signed long,Vectorized,typename conditional<sizeof(long)==8,void,false_type>::type> { enum { value = 24 }; };
+template<bool Vectorized>
+struct scalar_div_cost<unsigned long,Vectorized,typename conditional<sizeof(long)==8,void,false_type>::type> { enum { value = 21 }; };
+
+
+#ifdef EIGEN_DEBUG_ASSIGN
+std::string demangle_traversal(int t)
+{
+  if(t==DefaultTraversal) return "DefaultTraversal";
+  if(t==LinearTraversal) return "LinearTraversal";
+  if(t==InnerVectorizedTraversal) return "InnerVectorizedTraversal";
+  if(t==LinearVectorizedTraversal) return "LinearVectorizedTraversal";
+  if(t==SliceVectorizedTraversal) return "SliceVectorizedTraversal";
+  return "?";
+}
+std::string demangle_unrolling(int t)
+{
+  if(t==NoUnrolling) return "NoUnrolling";
+  if(t==InnerUnrolling) return "InnerUnrolling";
+  if(t==CompleteUnrolling) return "CompleteUnrolling";
+  return "?";
+}
+std::string demangle_flags(int f)
+{
+  std::string res;
+  if(f&RowMajorBit)                 res += " | RowMajor";
+  if(f&PacketAccessBit)             res += " | Packet";
+  if(f&LinearAccessBit)             res += " | Linear";
+  if(f&LvalueBit)                   res += " | Lvalue";
+  if(f&DirectAccessBit)             res += " | Direct";
+  if(f&NestByRefBit)                res += " | NestByRef";
+  if(f&NoPreferredStorageOrderBit)  res += " | NoPreferredStorageOrderBit";
+  
+  return res;
+}
+#endif
+
+} // end namespace internal
+
+
+/** \class ScalarBinaryOpTraits
+  * \ingroup Core_Module
+  *
+  * \brief Determines whether the given binary operation of two numeric types is allowed and what the scalar return type is.
+  *
+  * This class permits to control the scalar return type of any binary operation performed on two different scalar types through (partial) template specializations.
+  *
+  * For instance, let \c U1, \c U2 and \c U3 be three user defined scalar types for which most operations between instances of \c U1 and \c U2 returns an \c U3.
+  * You can let %Eigen knows that by defining:
+    \code
+    template<typename BinaryOp>
+    struct ScalarBinaryOpTraits<U1,U2,BinaryOp> { typedef U3 ReturnType;  };
+    template<typename BinaryOp>
+    struct ScalarBinaryOpTraits<U2,U1,BinaryOp> { typedef U3 ReturnType;  };
+    \endcode
+  * You can then explicitly disable some particular operations to get more explicit error messages:
+    \code
+    template<>
+    struct ScalarBinaryOpTraits<U1,U2,internal::scalar_max_op<U1,U2> > {};
+    \endcode
+  * Or customize the return type for individual operation:
+    \code
+    template<>
+    struct ScalarBinaryOpTraits<U1,U2,internal::scalar_sum_op<U1,U2> > { typedef U1 ReturnType; };
+    \endcode
+  *
+  * By default, the following generic combinations are supported:
+  <table class="manual">
+  <tr><th>ScalarA</th><th>ScalarB</th><th>BinaryOp</th><th>ReturnType</th><th>Note</th></tr>
+  <tr            ><td>\c T </td><td>\c T </td><td>\c * </td><td>\c T </td><td></td></tr>
+  <tr class="alt"><td>\c NumTraits<T>::Real </td><td>\c T </td><td>\c * </td><td>\c T </td><td>Only if \c NumTraits<T>::IsComplex </td></tr>
+  <tr            ><td>\c T </td><td>\c NumTraits<T>::Real </td><td>\c * </td><td>\c T </td><td>Only if \c NumTraits<T>::IsComplex </td></tr>
+  </table>
+  *
+  * \sa CwiseBinaryOp
+  */
+template<typename ScalarA, typename ScalarB, typename BinaryOp=internal::scalar_product_op<ScalarA,ScalarB> >
+struct ScalarBinaryOpTraits
+#ifndef EIGEN_PARSED_BY_DOXYGEN
+  // for backward compatibility, use the hints given by the (deprecated) internal::scalar_product_traits class.
+  : internal::scalar_product_traits<ScalarA,ScalarB>
+#endif // EIGEN_PARSED_BY_DOXYGEN
+{};
+
+template<typename T, typename BinaryOp>
+struct ScalarBinaryOpTraits<T,T,BinaryOp>
+{
+  typedef T ReturnType;
+};
+
+template <typename T, typename BinaryOp>
+struct ScalarBinaryOpTraits<T, typename NumTraits<typename internal::enable_if<NumTraits<T>::IsComplex,T>::type>::Real, BinaryOp>
+{
+  typedef T ReturnType;
+};
+template <typename T, typename BinaryOp>
+struct ScalarBinaryOpTraits<typename NumTraits<typename internal::enable_if<NumTraits<T>::IsComplex,T>::type>::Real, T, BinaryOp>
+{
+  typedef T ReturnType;
+};
+
+// For Matrix * Permutation
+template<typename T, typename BinaryOp>
+struct ScalarBinaryOpTraits<T,void,BinaryOp>
+{
+  typedef T ReturnType;
+};
+
+// For Permutation * Matrix
+template<typename T, typename BinaryOp>
+struct ScalarBinaryOpTraits<void,T,BinaryOp>
+{
+  typedef T ReturnType;
+};
+
+// for Permutation*Permutation
+template<typename BinaryOp>
+struct ScalarBinaryOpTraits<void,void,BinaryOp>
+{
+  typedef void ReturnType;
+};
+
+// We require Lhs and Rhs to have "compatible" scalar types.
+// It is tempting to always allow mixing different types but remember that this is often impossible in the vectorized paths.
+// So allowing mixing different types gives very unexpected errors when enabling vectorization, when the user tries to
+// add together a float matrix and a double matrix.
+#define EIGEN_CHECK_BINARY_COMPATIBILIY(BINOP,LHS,RHS) \
+  EIGEN_STATIC_ASSERT((Eigen::internal::has_ReturnType<ScalarBinaryOpTraits<LHS, RHS,BINOP> >::value), \
+    YOU_MIXED_DIFFERENT_NUMERIC_TYPES__YOU_NEED_TO_USE_THE_CAST_METHOD_OF_MATRIXBASE_TO_CAST_NUMERIC_TYPES_EXPLICITLY)
+    
+} // end namespace Eigen
+
+#endif // EIGEN_XPRHELPER_H
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/util/Constants.h
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/util/Constants.h	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/util/Constants.h	(revision 3761)
@@ -0,0 +1,547 @@
+// This file is part of Eigen, a lightweight C++ template library
+// for linear algebra.
+//
+// Copyright (C) 2008-2015 Gael Guennebaud <gael.guennebaud@inria.fr>
+// Copyright (C) 2007-2009 Benoit Jacob <jacob.benoit.1@gmail.com>
+//
+// This Source Code Form is subject to the terms of the Mozilla
+// Public License v. 2.0. If a copy of the MPL was not distributed
+// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
+
+#ifndef EIGEN_CONSTANTS_H
+#define EIGEN_CONSTANTS_H
+
+namespace Eigen {
+
+/** This value means that a positive quantity (e.g., a size) is not known at compile-time, and that instead the value is
+  * stored in some runtime variable.
+  *
+  * Changing the value of Dynamic breaks the ABI, as Dynamic is often used as a template parameter for Matrix.
+  */
+const int Dynamic = -1;
+
+/** This value means that a signed quantity (e.g., a signed index) is not known at compile-time, and that instead its value
+  * has to be specified at runtime.
+  */
+const int DynamicIndex = 0xffffff;
+
+/** This value means +Infinity; it is currently used only as the p parameter to MatrixBase::lpNorm<int>().
+  * The value Infinity there means the L-infinity norm.
+  */
+const int Infinity = -1;
+
+/** This value means that the cost to evaluate an expression coefficient is either very expensive or
+  * cannot be known at compile time.
+  *
+  * This value has to be positive to (1) simplify cost computation, and (2) allow to distinguish between a very expensive and very very expensive expressions.
+  * It thus must also be large enough to make sure unrolling won't happen and that sub expressions will be evaluated, but not too large to avoid overflow.
+  */
+const int HugeCost = 10000;
+
+/** \defgroup flags Flags
+  * \ingroup Core_Module
+  *
+  * These are the possible bits which can be OR'ed to constitute the flags of a matrix or
+  * expression.
+  *
+  * It is important to note that these flags are a purely compile-time notion. They are a compile-time property of
+  * an expression type, implemented as enum's. They are not stored in memory at runtime, and they do not incur any
+  * runtime overhead.
+  *
+  * \sa MatrixBase::Flags
+  */
+
+/** \ingroup flags
+  *
+  * for a matrix, this means that the storage order is row-major.
+  * If this bit is not set, the storage order is column-major.
+  * For an expression, this determines the storage order of
+  * the matrix created by evaluation of that expression.
+  * \sa \blank  \ref TopicStorageOrders */
+const unsigned int RowMajorBit = 0x1;
+
+/** \ingroup flags
+  * means the expression should be evaluated by the calling expression */
+const unsigned int EvalBeforeNestingBit = 0x2;
+
+/** \ingroup flags
+  * \deprecated
+  * means the expression should be evaluated before any assignment */
+EIGEN_DEPRECATED
+const unsigned int EvalBeforeAssigningBit = 0x4; // FIXME deprecated
+
+/** \ingroup flags
+  *
+  * Short version: means the expression might be vectorized
+  *
+  * Long version: means that the coefficients can be handled by packets
+  * and start at a memory location whose alignment meets the requirements
+  * of the present CPU architecture for optimized packet access. In the fixed-size
+  * case, there is the additional condition that it be possible to access all the
+  * coefficients by packets (this implies the requirement that the size be a multiple of 16 bytes,
+  * and that any nontrivial strides don't break the alignment). In the dynamic-size case,
+  * there is no such condition on the total size and strides, so it might not be possible to access
+  * all coeffs by packets.
+  *
+  * \note This bit can be set regardless of whether vectorization is actually enabled.
+  *       To check for actual vectorizability, see \a ActualPacketAccessBit.
+  */
+const unsigned int PacketAccessBit = 0x8;
+
+#ifdef EIGEN_VECTORIZE
+/** \ingroup flags
+  *
+  * If vectorization is enabled (EIGEN_VECTORIZE is defined) this constant
+  * is set to the value \a PacketAccessBit.
+  *
+  * If vectorization is not enabled (EIGEN_VECTORIZE is not defined) this constant
+  * is set to the value 0.
+  */
+const unsigned int ActualPacketAccessBit = PacketAccessBit;
+#else
+const unsigned int ActualPacketAccessBit = 0x0;
+#endif
+
+/** \ingroup flags
+  *
+  * Short version: means the expression can be seen as 1D vector.
+  *
+  * Long version: means that one can access the coefficients
+  * of this expression by coeff(int), and coeffRef(int) in the case of a lvalue expression. These
+  * index-based access methods are guaranteed
+  * to not have to do any runtime computation of a (row, col)-pair from the index, so that it
+  * is guaranteed that whenever it is available, index-based access is at least as fast as
+  * (row,col)-based access. Expressions for which that isn't possible don't have the LinearAccessBit.
+  *
+  * If both PacketAccessBit and LinearAccessBit are set, then the
+  * packets of this expression can be accessed by packet(int), and writePacket(int) in the case of a
+  * lvalue expression.
+  *
+  * Typically, all vector expressions have the LinearAccessBit, but there is one exception:
+  * Product expressions don't have it, because it would be troublesome for vectorization, even when the
+  * Product is a vector expression. Thus, vector Product expressions allow index-based coefficient access but
+  * not index-based packet access, so they don't have the LinearAccessBit.
+  */
+const unsigned int LinearAccessBit = 0x10;
+
+/** \ingroup flags
+  *
+  * Means the expression has a coeffRef() method, i.e. is writable as its individual coefficients are directly addressable.
+  * This rules out read-only expressions.
+  *
+  * Note that DirectAccessBit and LvalueBit are mutually orthogonal, as there are examples of expression having one but note
+  * the other:
+  *   \li writable expressions that don't have a very simple memory layout as a strided array, have LvalueBit but not DirectAccessBit
+  *   \li Map-to-const expressions, for example Map<const Matrix>, have DirectAccessBit but not LvalueBit
+  *
+  * Expressions having LvalueBit also have their coeff() method returning a const reference instead of returning a new value.
+  */
+const unsigned int LvalueBit = 0x20;
+
+/** \ingroup flags
+  *
+  * Means that the underlying array of coefficients can be directly accessed as a plain strided array. The memory layout
+  * of the array of coefficients must be exactly the natural one suggested by rows(), cols(),
+  * outerStride(), innerStride(), and the RowMajorBit. This rules out expressions such as Diagonal, whose coefficients,
+  * though referencable, do not have such a regular memory layout.
+  *
+  * See the comment on LvalueBit for an explanation of how LvalueBit and DirectAccessBit are mutually orthogonal.
+  */
+const unsigned int DirectAccessBit = 0x40;
+
+/** \deprecated \ingroup flags
+  *
+  * means the first coefficient packet is guaranteed to be aligned.
+  * An expression cannot has the AlignedBit without the PacketAccessBit flag.
+  * In other words, this means we are allow to perform an aligned packet access to the first element regardless
+  * of the expression kind:
+  * \code
+  * expression.packet<Aligned>(0);
+  * \endcode
+  */
+EIGEN_DEPRECATED const unsigned int AlignedBit = 0x80;
+
+const unsigned int NestByRefBit = 0x100;
+
+/** \ingroup flags
+  *
+  * for an expression, this means that the storage order
+  * can be either row-major or column-major.
+  * The precise choice will be decided at evaluation time or when
+  * combined with other expressions.
+  * \sa \blank  \ref RowMajorBit, \ref TopicStorageOrders */
+const unsigned int NoPreferredStorageOrderBit = 0x200;
+
+/** \ingroup flags
+  *
+  * Means that the underlying coefficients can be accessed through pointers to the sparse (un)compressed storage format,
+  * that is, the expression provides:
+  * \code
+    inline const Scalar* valuePtr() const;
+    inline const Index* innerIndexPtr() const;
+    inline const Index* outerIndexPtr() const;
+    inline const Index* innerNonZeroPtr() const;
+    \endcode
+  */
+const unsigned int CompressedAccessBit = 0x400;
+
+
+// list of flags that are inherited by default
+const unsigned int HereditaryBits = RowMajorBit
+                                  | EvalBeforeNestingBit;
+
+/** \defgroup enums Enumerations
+  * \ingroup Core_Module
+  *
+  * Various enumerations used in %Eigen. Many of these are used as template parameters.
+  */
+
+/** \ingroup enums
+  * Enum containing possible values for the \c Mode or \c UpLo parameter of
+  * MatrixBase::selfadjointView() and MatrixBase::triangularView(), and selfadjoint solvers. */
+enum UpLoType {
+  /** View matrix as a lower triangular matrix. */
+  Lower=0x1,                      
+  /** View matrix as an upper triangular matrix. */
+  Upper=0x2,                      
+  /** %Matrix has ones on the diagonal; to be used in combination with #Lower or #Upper. */
+  UnitDiag=0x4, 
+  /** %Matrix has zeros on the diagonal; to be used in combination with #Lower or #Upper. */
+  ZeroDiag=0x8,
+  /** View matrix as a lower triangular matrix with ones on the diagonal. */
+  UnitLower=UnitDiag|Lower, 
+  /** View matrix as an upper triangular matrix with ones on the diagonal. */
+  UnitUpper=UnitDiag|Upper,
+  /** View matrix as a lower triangular matrix with zeros on the diagonal. */
+  StrictlyLower=ZeroDiag|Lower, 
+  /** View matrix as an upper triangular matrix with zeros on the diagonal. */
+  StrictlyUpper=ZeroDiag|Upper,
+  /** Used in BandMatrix and SelfAdjointView to indicate that the matrix is self-adjoint. */
+  SelfAdjoint=0x10,
+  /** Used to support symmetric, non-selfadjoint, complex matrices. */
+  Symmetric=0x20
+};
+
+/** \ingroup enums
+  * Enum for indicating whether a buffer is aligned or not. */
+enum AlignmentType {
+  Unaligned=0,        /**< Data pointer has no specific alignment. */
+  Aligned8=8,         /**< Data pointer is aligned on a 8 bytes boundary. */
+  Aligned16=16,       /**< Data pointer is aligned on a 16 bytes boundary. */
+  Aligned32=32,       /**< Data pointer is aligned on a 32 bytes boundary. */
+  Aligned64=64,       /**< Data pointer is aligned on a 64 bytes boundary. */
+  Aligned128=128,     /**< Data pointer is aligned on a 128 bytes boundary. */
+  AlignedMask=255,
+  Aligned=16,         /**< \deprecated Synonym for Aligned16. */
+#if EIGEN_MAX_ALIGN_BYTES==128
+  AlignedMax = Aligned128
+#elif EIGEN_MAX_ALIGN_BYTES==64
+  AlignedMax = Aligned64
+#elif EIGEN_MAX_ALIGN_BYTES==32
+  AlignedMax = Aligned32
+#elif EIGEN_MAX_ALIGN_BYTES==16
+  AlignedMax = Aligned16
+#elif EIGEN_MAX_ALIGN_BYTES==8
+  AlignedMax = Aligned8
+#elif EIGEN_MAX_ALIGN_BYTES==0
+  AlignedMax = Unaligned
+#else
+#error Invalid value for EIGEN_MAX_ALIGN_BYTES
+#endif
+};
+
+/** \ingroup enums
+ * Enum used by DenseBase::corner() in Eigen2 compatibility mode. */
+// FIXME after the corner() API change, this was not needed anymore, except by AlignedBox
+// TODO: find out what to do with that. Adapt the AlignedBox API ?
+enum CornerType { TopLeft, TopRight, BottomLeft, BottomRight };
+
+/** \ingroup enums
+  * Enum containing possible values for the \p Direction parameter of
+  * Reverse, PartialReduxExpr and VectorwiseOp. */
+enum DirectionType { 
+  /** For Reverse, all columns are reversed; 
+    * for PartialReduxExpr and VectorwiseOp, act on columns. */
+  Vertical, 
+  /** For Reverse, all rows are reversed; 
+    * for PartialReduxExpr and VectorwiseOp, act on rows. */
+  Horizontal, 
+  /** For Reverse, both rows and columns are reversed; 
+    * not used for PartialReduxExpr and VectorwiseOp. */
+  BothDirections 
+};
+
+/** \internal \ingroup enums
+  * Enum to specify how to traverse the entries of a matrix. */
+enum TraversalType {
+  /** \internal Default traversal, no vectorization, no index-based access */
+  DefaultTraversal,
+  /** \internal No vectorization, use index-based access to have only one for loop instead of 2 nested loops */
+  LinearTraversal,
+  /** \internal Equivalent to a slice vectorization for fixed-size matrices having good alignment
+    * and good size */
+  InnerVectorizedTraversal,
+  /** \internal Vectorization path using a single loop plus scalar loops for the
+    * unaligned boundaries */
+  LinearVectorizedTraversal,
+  /** \internal Generic vectorization path using one vectorized loop per row/column with some
+    * scalar loops to handle the unaligned boundaries */
+  SliceVectorizedTraversal,
+  /** \internal Special case to properly handle incompatible scalar types or other defecting cases*/
+  InvalidTraversal,
+  /** \internal Evaluate all entries at once */
+  AllAtOnceTraversal
+};
+
+/** \internal \ingroup enums
+  * Enum to specify whether to unroll loops when traversing over the entries of a matrix. */
+enum UnrollingType {
+  /** \internal Do not unroll loops. */
+  NoUnrolling,
+  /** \internal Unroll only the inner loop, but not the outer loop. */
+  InnerUnrolling,
+  /** \internal Unroll both the inner and the outer loop. If there is only one loop, 
+    * because linear traversal is used, then unroll that loop. */
+  CompleteUnrolling
+};
+
+/** \internal \ingroup enums
+  * Enum to specify whether to use the default (built-in) implementation or the specialization. */
+enum SpecializedType {
+  Specialized,
+  BuiltIn
+};
+
+/** \ingroup enums
+  * Enum containing possible values for the \p _Options template parameter of
+  * Matrix, Array and BandMatrix. */
+enum StorageOptions {
+  /** Storage order is column major (see \ref TopicStorageOrders). */
+  ColMajor = 0,
+  /** Storage order is row major (see \ref TopicStorageOrders). */
+  RowMajor = 0x1,  // it is only a coincidence that this is equal to RowMajorBit -- don't rely on that
+  /** Align the matrix itself if it is vectorizable fixed-size */
+  AutoAlign = 0,
+  /** Don't require alignment for the matrix itself (the array of coefficients, if dynamically allocated, may still be requested to be aligned) */ // FIXME --- clarify the situation
+  DontAlign = 0x2
+};
+
+/** \ingroup enums
+  * Enum for specifying whether to apply or solve on the left or right. */
+enum SideType {
+  /** Apply transformation on the left. */
+  OnTheLeft = 1,  
+  /** Apply transformation on the right. */
+  OnTheRight = 2  
+};
+
+/* the following used to be written as:
+ *
+ *   struct NoChange_t {};
+ *   namespace {
+ *     EIGEN_UNUSED NoChange_t NoChange;
+ *   }
+ *
+ * on the ground that it feels dangerous to disambiguate overloaded functions on enum/integer types.  
+ * However, this leads to "variable declared but never referenced" warnings on Intel Composer XE,
+ * and we do not know how to get rid of them (bug 450).
+ */
+
+enum NoChange_t   { NoChange };
+enum Sequential_t { Sequential };
+enum Default_t    { Default };
+
+/** \internal \ingroup enums
+  * Used in AmbiVector. */
+enum AmbiVectorMode {
+  IsDense         = 0,
+  IsSparse
+};
+
+/** \ingroup enums
+  * Used as template parameter in DenseCoeffBase and MapBase to indicate 
+  * which accessors should be provided. */
+enum AccessorLevels {
+  /** Read-only access via a member function. */
+  ReadOnlyAccessors, 
+  /** Read/write access via member functions. */
+  WriteAccessors, 
+  /** Direct read-only access to the coefficients. */
+  DirectAccessors, 
+  /** Direct read/write access to the coefficients. */
+  DirectWriteAccessors
+};
+
+/** \ingroup enums
+  * Enum with options to give to various decompositions. */
+enum DecompositionOptions {
+  /** \internal Not used (meant for LDLT?). */
+  Pivoting            = 0x01, 
+  /** \internal Not used (meant for LDLT?). */
+  NoPivoting          = 0x02, 
+  /** Used in JacobiSVD to indicate that the square matrix U is to be computed. */
+  ComputeFullU        = 0x04,
+  /** Used in JacobiSVD to indicate that the thin matrix U is to be computed. */
+  ComputeThinU        = 0x08,
+  /** Used in JacobiSVD to indicate that the square matrix V is to be computed. */
+  ComputeFullV        = 0x10,
+  /** Used in JacobiSVD to indicate that the thin matrix V is to be computed. */
+  ComputeThinV        = 0x20,
+  /** Used in SelfAdjointEigenSolver and GeneralizedSelfAdjointEigenSolver to specify
+    * that only the eigenvalues are to be computed and not the eigenvectors. */
+  EigenvaluesOnly     = 0x40,
+  /** Used in SelfAdjointEigenSolver and GeneralizedSelfAdjointEigenSolver to specify
+    * that both the eigenvalues and the eigenvectors are to be computed. */
+  ComputeEigenvectors = 0x80,
+  /** \internal */
+  EigVecMask = EigenvaluesOnly | ComputeEigenvectors,
+  /** Used in GeneralizedSelfAdjointEigenSolver to indicate that it should
+    * solve the generalized eigenproblem \f$ Ax = \lambda B x \f$. */
+  Ax_lBx              = 0x100,
+  /** Used in GeneralizedSelfAdjointEigenSolver to indicate that it should
+    * solve the generalized eigenproblem \f$ ABx = \lambda x \f$. */
+  ABx_lx              = 0x200,
+  /** Used in GeneralizedSelfAdjointEigenSolver to indicate that it should
+    * solve the generalized eigenproblem \f$ BAx = \lambda x \f$. */
+  BAx_lx              = 0x400,
+  /** \internal */
+  GenEigMask = Ax_lBx | ABx_lx | BAx_lx
+};
+
+/** \ingroup enums
+  * Possible values for the \p QRPreconditioner template parameter of JacobiSVD. */
+enum QRPreconditioners {
+  /** Do not specify what is to be done if the SVD of a non-square matrix is asked for. */
+  NoQRPreconditioner,
+  /** Use a QR decomposition without pivoting as the first step. */
+  HouseholderQRPreconditioner,
+  /** Use a QR decomposition with column pivoting as the first step. */
+  ColPivHouseholderQRPreconditioner,
+  /** Use a QR decomposition with full pivoting as the first step. */
+  FullPivHouseholderQRPreconditioner
+};
+
+#ifdef Success
+#error The preprocessor symbol 'Success' is defined, possibly by the X11 header file X.h
+#endif
+
+/** \ingroup enums
+  * Enum for reporting the status of a computation. */
+enum ComputationInfo {
+  /** Computation was successful. */
+  Success = 0,        
+  /** The provided data did not satisfy the prerequisites. */
+  NumericalIssue = 1, 
+  /** Iterative procedure did not converge. */
+  NoConvergence = 2,
+  /** The inputs are invalid, or the algorithm has been improperly called.
+    * When assertions are enabled, such errors trigger an assert. */
+  InvalidInput = 3
+};
+
+/** \ingroup enums
+  * Enum used to specify how a particular transformation is stored in a matrix.
+  * \sa Transform, Hyperplane::transform(). */
+enum TransformTraits {
+  /** Transformation is an isometry. */
+  Isometry      = 0x1,
+  /** Transformation is an affine transformation stored as a (Dim+1)^2 matrix whose last row is 
+    * assumed to be [0 ... 0 1]. */
+  Affine        = 0x2,
+  /** Transformation is an affine transformation stored as a (Dim) x (Dim+1) matrix. */
+  AffineCompact = 0x10 | Affine,
+  /** Transformation is a general projective transformation stored as a (Dim+1)^2 matrix. */
+  Projective    = 0x20
+};
+
+/** \internal \ingroup enums
+  * Enum used to choose between implementation depending on the computer architecture. */
+namespace Architecture
+{
+  enum Type {
+    Generic = 0x0,
+    SSE = 0x1,
+    AltiVec = 0x2,
+    VSX = 0x3,
+    NEON = 0x4,
+#if defined EIGEN_VECTORIZE_SSE
+    Target = SSE
+#elif defined EIGEN_VECTORIZE_ALTIVEC
+    Target = AltiVec
+#elif defined EIGEN_VECTORIZE_VSX
+    Target = VSX
+#elif defined EIGEN_VECTORIZE_NEON
+    Target = NEON
+#else
+    Target = Generic
+#endif
+  };
+}
+
+/** \internal \ingroup enums
+  * Enum used as template parameter in Product and product evaluators. */
+enum ProductImplType
+{ DefaultProduct=0, LazyProduct, AliasFreeProduct, CoeffBasedProductMode, LazyCoeffBasedProductMode, OuterProduct, InnerProduct, GemvProduct, GemmProduct };
+
+/** \internal \ingroup enums
+  * Enum used in experimental parallel implementation. */
+enum Action {GetAction, SetAction};
+
+/** The type used to identify a dense storage. */
+struct Dense {};
+
+/** The type used to identify a general sparse storage. */
+struct Sparse {};
+
+/** The type used to identify a general solver (factored) storage. */
+struct SolverStorage {};
+
+/** The type used to identify a permutation storage. */
+struct PermutationStorage {};
+
+/** The type used to identify a permutation storage. */
+struct TranspositionsStorage {};
+
+/** The type used to identify a matrix expression */
+struct MatrixXpr {};
+
+/** The type used to identify an array expression */
+struct ArrayXpr {};
+
+// An evaluator must define its shape. By default, it can be one of the following:
+struct DenseShape             { static std::string debugName() { return "DenseShape"; } };
+struct SolverShape            { static std::string debugName() { return "SolverShape"; } };
+struct HomogeneousShape       { static std::string debugName() { return "HomogeneousShape"; } };
+struct DiagonalShape          { static std::string debugName() { return "DiagonalShape"; } };
+struct BandShape              { static std::string debugName() { return "BandShape"; } };
+struct TriangularShape        { static std::string debugName() { return "TriangularShape"; } };
+struct SelfAdjointShape       { static std::string debugName() { return "SelfAdjointShape"; } };
+struct PermutationShape       { static std::string debugName() { return "PermutationShape"; } };
+struct TranspositionsShape    { static std::string debugName() { return "TranspositionsShape"; } };
+struct SparseShape            { static std::string debugName() { return "SparseShape"; } };
+
+namespace internal {
+
+  // random access iterators based on coeff*() accessors.
+struct IndexBased {};
+
+// evaluator based on iterators to access coefficients. 
+struct IteratorBased {};
+
+/** \internal
+ * Constants for comparison functors
+ */
+enum ComparisonName {
+  cmp_EQ = 0,
+  cmp_LT = 1,
+  cmp_LE = 2,
+  cmp_UNORD = 3,
+  cmp_NEQ = 4,
+  cmp_GT = 5,
+  cmp_GE = 6
+};
+} // end namespace internal
+
+} // end namespace Eigen
+
+#endif // EIGEN_CONSTANTS_H
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h	(revision 3761)
@@ -0,0 +1,298 @@
+// This file is part of Eigen, a lightweight C++ template library
+// for linear algebra.
+//
+// Copyright (C) 2007-2010 Benoit Jacob <jacob.benoit.1@gmail.com>
+// Copyright (C) 2008-2009 Gael Guennebaud <gael.guennebaud@inria.fr>
+//
+// This Source Code Form is subject to the terms of the Mozilla
+// Public License v. 2.0. If a copy of the MPL was not distributed
+// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
+
+#ifndef EIGEN_FORWARDDECLARATIONS_H
+#define EIGEN_FORWARDDECLARATIONS_H
+
+namespace Eigen {
+namespace internal {
+
+template<typename T> struct traits;
+
+// here we say once and for all that traits<const T> == traits<T>
+// When constness must affect traits, it has to be constness on template parameters on which T itself depends.
+// For example, traits<Map<const T> > != traits<Map<T> >, but
+//              traits<const Map<T> > == traits<Map<T> >
+template<typename T> struct traits<const T> : traits<T> {};
+
+template<typename Derived> struct has_direct_access
+{
+  enum { ret = (traits<Derived>::Flags & DirectAccessBit) ? 1 : 0 };
+};
+
+template<typename Derived> struct accessors_level
+{
+  enum { has_direct_access = (traits<Derived>::Flags & DirectAccessBit) ? 1 : 0,
+         has_write_access = (traits<Derived>::Flags & LvalueBit) ? 1 : 0,
+         value = has_direct_access ? (has_write_access ? DirectWriteAccessors : DirectAccessors)
+                                   : (has_write_access ? WriteAccessors       : ReadOnlyAccessors)
+  };
+};
+
+template<typename T> struct evaluator_traits;
+
+template< typename T> struct evaluator;
+
+} // end namespace internal
+
+template<typename T> struct NumTraits;
+
+template<typename Derived> struct EigenBase;
+template<typename Derived> class DenseBase;
+template<typename Derived> class PlainObjectBase;
+template<typename Derived, int Level> class DenseCoeffsBase;
+
+template<typename _Scalar, int _Rows, int _Cols,
+         int _Options = AutoAlign |
+#if EIGEN_GNUC_AT(3,4)
+    // workaround a bug in at least gcc 3.4.6
+    // the innermost ?: ternary operator is misparsed. We write it slightly
+    // differently and this makes gcc 3.4.6 happy, but it's ugly.
+    // The error would only show up with EIGEN_DEFAULT_TO_ROW_MAJOR is defined
+    // (when EIGEN_DEFAULT_MATRIX_STORAGE_ORDER_OPTION is RowMajor)
+                          ( (_Rows==1 && _Cols!=1) ? Eigen::RowMajor
+                          : !(_Cols==1 && _Rows!=1) ?  EIGEN_DEFAULT_MATRIX_STORAGE_ORDER_OPTION
+                          : Eigen::ColMajor ),
+#else
+                          ( (_Rows==1 && _Cols!=1) ? Eigen::RowMajor
+                          : (_Cols==1 && _Rows!=1) ? Eigen::ColMajor
+                          : EIGEN_DEFAULT_MATRIX_STORAGE_ORDER_OPTION ),
+#endif
+         int _MaxRows = _Rows,
+         int _MaxCols = _Cols
+> class Matrix;
+
+template<typename Derived> class MatrixBase;
+template<typename Derived> class ArrayBase;
+
+template<typename ExpressionType, unsigned int Added, unsigned int Removed> class Flagged;
+template<typename ExpressionType, template <typename> class StorageBase > class NoAlias;
+template<typename ExpressionType> class NestByValue;
+template<typename ExpressionType> class ForceAlignedAccess;
+template<typename ExpressionType> class SwapWrapper;
+
+template<typename XprType, int BlockRows=Dynamic, int BlockCols=Dynamic, bool InnerPanel = false> class Block;
+
+template<typename MatrixType, int Size=Dynamic> class VectorBlock;
+template<typename MatrixType> class Transpose;
+template<typename MatrixType> class Conjugate;
+template<typename NullaryOp, typename MatrixType>         class CwiseNullaryOp;
+template<typename UnaryOp,   typename MatrixType>         class CwiseUnaryOp;
+template<typename ViewOp,    typename MatrixType>         class CwiseUnaryView;
+template<typename BinaryOp,  typename Lhs, typename Rhs>  class CwiseBinaryOp;
+template<typename TernaryOp, typename Arg1, typename Arg2, typename Arg3>  class CwiseTernaryOp;
+template<typename Decomposition, typename Rhstype>        class Solve;
+template<typename XprType>                                class Inverse;
+
+template<typename Lhs, typename Rhs, int Option = DefaultProduct> class Product;
+
+template<typename Derived> class DiagonalBase;
+template<typename _DiagonalVectorType> class DiagonalWrapper;
+template<typename _Scalar, int SizeAtCompileTime, int MaxSizeAtCompileTime=SizeAtCompileTime> class DiagonalMatrix;
+template<typename MatrixType, typename DiagonalType, int ProductOrder> class DiagonalProduct;
+template<typename MatrixType, int Index = 0> class Diagonal;
+template<int SizeAtCompileTime, int MaxSizeAtCompileTime = SizeAtCompileTime, typename IndexType=int> class PermutationMatrix;
+template<int SizeAtCompileTime, int MaxSizeAtCompileTime = SizeAtCompileTime, typename IndexType=int> class Transpositions;
+template<typename Derived> class PermutationBase;
+template<typename Derived> class TranspositionsBase;
+template<typename _IndicesType> class PermutationWrapper;
+template<typename _IndicesType> class TranspositionsWrapper;
+
+template<typename Derived,
+         int Level = internal::accessors_level<Derived>::has_write_access ? WriteAccessors : ReadOnlyAccessors
+> class MapBase;
+template<int InnerStrideAtCompileTime, int OuterStrideAtCompileTime> class Stride;
+template<int Value = Dynamic> class InnerStride;
+template<int Value = Dynamic> class OuterStride;
+template<typename MatrixType, int MapOptions=Unaligned, typename StrideType = Stride<0,0> > class Map;
+template<typename Derived> class RefBase;
+template<typename PlainObjectType, int Options = 0,
+         typename StrideType = typename internal::conditional<PlainObjectType::IsVectorAtCompileTime,InnerStride<1>,OuterStride<> >::type > class Ref;
+
+template<typename Derived> class TriangularBase;
+template<typename MatrixType, unsigned int Mode> class TriangularView;
+template<typename MatrixType, unsigned int Mode> class SelfAdjointView;
+template<typename MatrixType> class SparseView;
+template<typename ExpressionType> class WithFormat;
+template<typename MatrixType> struct CommaInitializer;
+template<typename Derived> class ReturnByValue;
+template<typename ExpressionType> class ArrayWrapper;
+template<typename ExpressionType> class MatrixWrapper;
+template<typename Derived> class SolverBase;
+template<typename XprType> class InnerIterator;
+
+namespace internal {
+template<typename DecompositionType> struct kernel_retval_base;
+template<typename DecompositionType> struct kernel_retval;
+template<typename DecompositionType> struct image_retval_base;
+template<typename DecompositionType> struct image_retval;
+} // end namespace internal
+
+namespace internal {
+template<typename _Scalar, int Rows=Dynamic, int Cols=Dynamic, int Supers=Dynamic, int Subs=Dynamic, int Options=0> class BandMatrix;
+}
+
+namespace internal {
+template<typename Lhs, typename Rhs> struct product_type;
+
+template<bool> struct EnableIf;
+
+/** \internal
+  * \class product_evaluator
+  * Products need their own evaluator with more template arguments allowing for
+  * easier partial template specializations.
+  */
+template< typename T,
+          int ProductTag = internal::product_type<typename T::Lhs,typename T::Rhs>::ret,
+          typename LhsShape = typename evaluator_traits<typename T::Lhs>::Shape,
+          typename RhsShape = typename evaluator_traits<typename T::Rhs>::Shape,
+          typename LhsScalar = typename traits<typename T::Lhs>::Scalar,
+          typename RhsScalar = typename traits<typename T::Rhs>::Scalar
+        > struct product_evaluator;
+}
+
+template<typename Lhs, typename Rhs,
+         int ProductType = internal::product_type<Lhs,Rhs>::value>
+struct ProductReturnType;
+
+// this is a workaround for sun CC
+template<typename Lhs, typename Rhs> struct LazyProductReturnType;
+
+namespace internal {
+
+// Provides scalar/packet-wise product and product with accumulation
+// with optional conjugation of the arguments.
+template<typename LhsScalar, typename RhsScalar, bool ConjLhs=false, bool ConjRhs=false> struct conj_helper;
+
+template<typename LhsScalar,typename RhsScalar=LhsScalar> struct scalar_sum_op;
+template<typename LhsScalar,typename RhsScalar=LhsScalar> struct scalar_difference_op;
+template<typename LhsScalar,typename RhsScalar=LhsScalar> struct scalar_conj_product_op;
+template<typename LhsScalar,typename RhsScalar=LhsScalar> struct scalar_min_op;
+template<typename LhsScalar,typename RhsScalar=LhsScalar> struct scalar_max_op;
+template<typename Scalar> struct scalar_opposite_op;
+template<typename Scalar> struct scalar_conjugate_op;
+template<typename Scalar> struct scalar_real_op;
+template<typename Scalar> struct scalar_imag_op;
+template<typename Scalar> struct scalar_abs_op;
+template<typename Scalar> struct scalar_abs2_op;
+template<typename Scalar> struct scalar_sqrt_op;
+template<typename Scalar> struct scalar_rsqrt_op;
+template<typename Scalar> struct scalar_exp_op;
+template<typename Scalar> struct scalar_log_op;
+template<typename Scalar> struct scalar_cos_op;
+template<typename Scalar> struct scalar_sin_op;
+template<typename Scalar> struct scalar_acos_op;
+template<typename Scalar> struct scalar_asin_op;
+template<typename Scalar> struct scalar_tan_op;
+template<typename Scalar> struct scalar_inverse_op;
+template<typename Scalar> struct scalar_square_op;
+template<typename Scalar> struct scalar_cube_op;
+template<typename Scalar, typename NewType> struct scalar_cast_op;
+template<typename Scalar> struct scalar_random_op;
+template<typename Scalar> struct scalar_constant_op;
+template<typename Scalar> struct scalar_identity_op;
+template<typename Scalar,bool iscpx> struct scalar_sign_op;
+template<typename Scalar,typename ScalarExponent> struct scalar_pow_op;
+template<typename LhsScalar,typename RhsScalar=LhsScalar> struct scalar_hypot_op;
+template<typename LhsScalar,typename RhsScalar=LhsScalar> struct scalar_product_op;
+template<typename LhsScalar,typename RhsScalar=LhsScalar> struct scalar_quotient_op;
+
+// SpecialFunctions module
+template<typename Scalar> struct scalar_lgamma_op;
+template<typename Scalar> struct scalar_digamma_op;
+template<typename Scalar> struct scalar_erf_op;
+template<typename Scalar> struct scalar_erfc_op;
+template<typename Scalar> struct scalar_igamma_op;
+template<typename Scalar> struct scalar_igammac_op;
+template<typename Scalar> struct scalar_zeta_op;
+template<typename Scalar> struct scalar_betainc_op;
+
+} // end namespace internal
+
+struct IOFormat;
+
+// Array module
+template<typename _Scalar, int _Rows, int _Cols,
+         int _Options = AutoAlign |
+#if EIGEN_GNUC_AT(3,4)
+    // workaround a bug in at least gcc 3.4.6
+    // the innermost ?: ternary operator is misparsed. We write it slightly
+    // differently and this makes gcc 3.4.6 happy, but it's ugly.
+    // The error would only show up with EIGEN_DEFAULT_TO_ROW_MAJOR is defined
+    // (when EIGEN_DEFAULT_MATRIX_STORAGE_ORDER_OPTION is RowMajor)
+                          ( (_Rows==1 && _Cols!=1) ? Eigen::RowMajor
+                          : !(_Cols==1 && _Rows!=1) ?  EIGEN_DEFAULT_MATRIX_STORAGE_ORDER_OPTION
+                          : Eigen::ColMajor ),
+#else
+                          ( (_Rows==1 && _Cols!=1) ? Eigen::RowMajor
+                          : (_Cols==1 && _Rows!=1) ? Eigen::ColMajor
+                          : EIGEN_DEFAULT_MATRIX_STORAGE_ORDER_OPTION ),
+#endif
+         int _MaxRows = _Rows, int _MaxCols = _Cols> class Array;
+template<typename ConditionMatrixType, typename ThenMatrixType, typename ElseMatrixType> class Select;
+template<typename MatrixType, typename BinaryOp, int Direction> class PartialReduxExpr;
+template<typename ExpressionType, int Direction> class VectorwiseOp;
+template<typename MatrixType,int RowFactor,int ColFactor> class Replicate;
+template<typename MatrixType, int Direction = BothDirections> class Reverse;
+
+template<typename MatrixType> class FullPivLU;
+template<typename MatrixType> class PartialPivLU;
+namespace internal {
+template<typename MatrixType> struct inverse_impl;
+}
+template<typename MatrixType> class HouseholderQR;
+template<typename MatrixType> class ColPivHouseholderQR;
+template<typename MatrixType> class FullPivHouseholderQR;
+template<typename MatrixType> class CompleteOrthogonalDecomposition;
+template<typename MatrixType, int QRPreconditioner = ColPivHouseholderQRPreconditioner> class JacobiSVD;
+template<typename MatrixType> class BDCSVD;
+template<typename MatrixType, int UpLo = Lower> class LLT;
+template<typename MatrixType, int UpLo = Lower> class LDLT;
+template<typename VectorsType, typename CoeffsType, int Side=OnTheLeft> class HouseholderSequence;
+template<typename Scalar>     class JacobiRotation;
+
+// Geometry module:
+template<typename Derived, int _Dim> class RotationBase;
+template<typename Lhs, typename Rhs> class Cross;
+template<typename Derived> class QuaternionBase;
+template<typename Scalar> class Rotation2D;
+template<typename Scalar> class AngleAxis;
+template<typename Scalar,int Dim> class Translation;
+template<typename Scalar,int Dim> class AlignedBox;
+template<typename Scalar, int Options = AutoAlign> class Quaternion;
+template<typename Scalar,int Dim,int Mode,int _Options=AutoAlign> class Transform;
+template <typename _Scalar, int _AmbientDim, int Options=AutoAlign> class ParametrizedLine;
+template <typename _Scalar, int _AmbientDim, int Options=AutoAlign> class Hyperplane;
+template<typename Scalar> class UniformScaling;
+template<typename MatrixType,int Direction> class Homogeneous;
+
+// Sparse module:
+template<typename Derived> class SparseMatrixBase;
+
+// MatrixFunctions module
+template<typename Derived> struct MatrixExponentialReturnValue;
+template<typename Derived> class MatrixFunctionReturnValue;
+template<typename Derived> class MatrixSquareRootReturnValue;
+template<typename Derived> class MatrixLogarithmReturnValue;
+template<typename Derived> class MatrixPowerReturnValue;
+template<typename Derived> class MatrixComplexPowerReturnValue;
+
+namespace internal {
+template <typename Scalar>
+struct stem_function
+{
+  typedef std::complex<typename NumTraits<Scalar>::Real> ComplexScalar;
+  typedef ComplexScalar type(ComplexScalar, int);
+};
+}
+
+} // end namespace Eigen
+
+#endif // EIGEN_FORWARDDECLARATIONS_H
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h	(revision 3761)
@@ -0,0 +1,832 @@
+// This file is part of Eigen, a lightweight C++ template library
+// for linear algebra.
+//
+// Copyright (C) 2008-2010 Gael Guennebaud <gael.guennebaud@inria.fr>
+// Copyright (C) 2009 Mathieu Gautier <mathieu.gautier@cea.fr>
+//
+// This Source Code Form is subject to the terms of the Mozilla
+// Public License v. 2.0. If a copy of the MPL was not distributed
+// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
+
+#ifndef EIGEN_QUATERNION_H
+#define EIGEN_QUATERNION_H
+namespace Eigen { 
+
+
+/***************************************************************************
+* Definition of QuaternionBase<Derived>
+* The implementation is at the end of the file
+***************************************************************************/
+
+namespace internal {
+template<typename Other,
+         int OtherRows=Other::RowsAtCompileTime,
+         int OtherCols=Other::ColsAtCompileTime>
+struct quaternionbase_assign_impl;
+}
+
+/** \geometry_module \ingroup Geometry_Module
+  * \class QuaternionBase
+  * \brief Base class for quaternion expressions
+  * \tparam Derived derived type (CRTP)
+  * \sa class Quaternion
+  */
+template<class Derived>
+class QuaternionBase : public RotationBase<Derived, 3>
+{
+ public:
+  typedef RotationBase<Derived, 3> Base;
+
+  using Base::operator*;
+  using Base::derived;
+
+  typedef typename internal::traits<Derived>::Scalar Scalar;
+  typedef typename NumTraits<Scalar>::Real RealScalar;
+  typedef typename internal::traits<Derived>::Coefficients Coefficients;
+  typedef typename Coefficients::CoeffReturnType CoeffReturnType;
+  typedef typename internal::conditional<bool(internal::traits<Derived>::Flags&LvalueBit),
+                                        Scalar&, CoeffReturnType>::type NonConstCoeffReturnType;
+
+
+  enum {
+    Flags = Eigen::internal::traits<Derived>::Flags
+  };
+
+ // typedef typename Matrix<Scalar,4,1> Coefficients;
+  /** the type of a 3D vector */
+  typedef Matrix<Scalar,3,1> Vector3;
+  /** the equivalent rotation matrix type */
+  typedef Matrix<Scalar,3,3> Matrix3;
+  /** the equivalent angle-axis type */
+  typedef AngleAxis<Scalar> AngleAxisType;
+
+
+
+  /** \returns the \c x coefficient */
+  EIGEN_DEVICE_FUNC inline CoeffReturnType x() const { return this->derived().coeffs().coeff(0); }
+  /** \returns the \c y coefficient */
+  EIGEN_DEVICE_FUNC inline CoeffReturnType y() const { return this->derived().coeffs().coeff(1); }
+  /** \returns the \c z coefficient */
+  EIGEN_DEVICE_FUNC inline CoeffReturnType z() const { return this->derived().coeffs().coeff(2); }
+  /** \returns the \c w coefficient */
+  EIGEN_DEVICE_FUNC inline CoeffReturnType w() const { return this->derived().coeffs().coeff(3); }
+
+  /** \returns a reference to the \c x coefficient (if Derived is a non-const lvalue) */
+  EIGEN_DEVICE_FUNC inline NonConstCoeffReturnType x() { return this->derived().coeffs().x(); }
+  /** \returns a reference to the \c y coefficient (if Derived is a non-const lvalue) */
+  EIGEN_DEVICE_FUNC inline NonConstCoeffReturnType y() { return this->derived().coeffs().y(); }
+  /** \returns a reference to the \c z coefficient (if Derived is a non-const lvalue) */
+  EIGEN_DEVICE_FUNC inline NonConstCoeffReturnType z() { return this->derived().coeffs().z(); }
+  /** \returns a reference to the \c w coefficient (if Derived is a non-const lvalue) */
+  EIGEN_DEVICE_FUNC inline NonConstCoeffReturnType w() { return this->derived().coeffs().w(); }
+
+  /** \returns a read-only vector expression of the imaginary part (x,y,z) */
+  EIGEN_DEVICE_FUNC inline const VectorBlock<const Coefficients,3> vec() const { return coeffs().template head<3>(); }
+
+  /** \returns a vector expression of the imaginary part (x,y,z) */
+  EIGEN_DEVICE_FUNC inline VectorBlock<Coefficients,3> vec() { return coeffs().template head<3>(); }
+
+  /** \returns a read-only vector expression of the coefficients (x,y,z,w) */
+  EIGEN_DEVICE_FUNC inline const typename internal::traits<Derived>::Coefficients& coeffs() const { return derived().coeffs(); }
+
+  /** \returns a vector expression of the coefficients (x,y,z,w) */
+  EIGEN_DEVICE_FUNC inline typename internal::traits<Derived>::Coefficients& coeffs() { return derived().coeffs(); }
+
+  EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE QuaternionBase<Derived>& operator=(const QuaternionBase<Derived>& other);
+  template<class OtherDerived> EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE Derived& operator=(const QuaternionBase<OtherDerived>& other);
+
+// disabled this copy operator as it is giving very strange compilation errors when compiling
+// test_stdvector with GCC 4.4.2. This looks like a GCC bug though, so feel free to re-enable it if it's
+// useful; however notice that we already have the templated operator= above and e.g. in MatrixBase
+// we didn't have to add, in addition to templated operator=, such a non-templated copy operator.
+//  Derived& operator=(const QuaternionBase& other)
+//  { return operator=<Derived>(other); }
+
+  EIGEN_DEVICE_FUNC Derived& operator=(const AngleAxisType& aa);
+  template<class OtherDerived> EIGEN_DEVICE_FUNC Derived& operator=(const MatrixBase<OtherDerived>& m);
+
+  /** \returns a quaternion representing an identity rotation
+    * \sa MatrixBase::Identity()
+    */
+  EIGEN_DEVICE_FUNC static inline Quaternion<Scalar> Identity() { return Quaternion<Scalar>(Scalar(1), Scalar(0), Scalar(0), Scalar(0)); }
+
+  /** \sa QuaternionBase::Identity(), MatrixBase::setIdentity()
+    */
+  EIGEN_DEVICE_FUNC inline QuaternionBase& setIdentity() { coeffs() << Scalar(0), Scalar(0), Scalar(0), Scalar(1); return *this; }
+
+  /** \returns the squared norm of the quaternion's coefficients
+    * \sa QuaternionBase::norm(), MatrixBase::squaredNorm()
+    */
+  EIGEN_DEVICE_FUNC inline Scalar squaredNorm() const { return coeffs().squaredNorm(); }
+
+  /** \returns the norm of the quaternion's coefficients
+    * \sa QuaternionBase::squaredNorm(), MatrixBase::norm()
+    */
+  EIGEN_DEVICE_FUNC inline Scalar norm() const { return coeffs().norm(); }
+
+  /** Normalizes the quaternion \c *this
+    * \sa normalized(), MatrixBase::normalize() */
+  EIGEN_DEVICE_FUNC inline void normalize() { coeffs().normalize(); }
+  /** \returns a normalized copy of \c *this
+    * \sa normalize(), MatrixBase::normalized() */
+  EIGEN_DEVICE_FUNC inline Quaternion<Scalar> normalized() const { return Quaternion<Scalar>(coeffs().normalized()); }
+
+    /** \returns the dot product of \c *this and \a other
+    * Geometrically speaking, the dot product of two unit quaternions
+    * corresponds to the cosine of half the angle between the two rotations.
+    * \sa angularDistance()
+    */
+  template<class OtherDerived> EIGEN_DEVICE_FUNC inline Scalar dot(const QuaternionBase<OtherDerived>& other) const { return coeffs().dot(other.coeffs()); }
+
+  template<class OtherDerived> EIGEN_DEVICE_FUNC Scalar angularDistance(const QuaternionBase<OtherDerived>& other) const;
+
+  /** \returns an equivalent 3x3 rotation matrix */
+  EIGEN_DEVICE_FUNC Matrix3 toRotationMatrix() const;
+
+  /** \returns the quaternion which transform \a a into \a b through a rotation */
+  template<typename Derived1, typename Derived2>
+  EIGEN_DEVICE_FUNC Derived& setFromTwoVectors(const MatrixBase<Derived1>& a, const MatrixBase<Derived2>& b);
+
+  template<class OtherDerived> EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE Quaternion<Scalar> operator* (const QuaternionBase<OtherDerived>& q) const;
+  template<class OtherDerived> EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE Derived& operator*= (const QuaternionBase<OtherDerived>& q);
+
+  /** \returns the quaternion describing the inverse rotation */
+  EIGEN_DEVICE_FUNC Quaternion<Scalar> inverse() const;
+
+  /** \returns the conjugated quaternion */
+  EIGEN_DEVICE_FUNC Quaternion<Scalar> conjugate() const;
+
+  template<class OtherDerived> EIGEN_DEVICE_FUNC Quaternion<Scalar> slerp(const Scalar& t, const QuaternionBase<OtherDerived>& other) const;
+
+  /** \returns \c true if \c *this is approximately equal to \a other, within the precision
+    * determined by \a prec.
+    *
+    * \sa MatrixBase::isApprox() */
+  template<class OtherDerived>
+  EIGEN_DEVICE_FUNC bool isApprox(const QuaternionBase<OtherDerived>& other, const RealScalar& prec = NumTraits<Scalar>::dummy_precision()) const
+  { return coeffs().isApprox(other.coeffs(), prec); }
+
+  /** return the result vector of \a v through the rotation*/
+  EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE Vector3 _transformVector(const Vector3& v) const;
+
+  #ifdef EIGEN_PARSED_BY_DOXYGEN
+  /** \returns \c *this with scalar type casted to \a NewScalarType
+    *
+    * Note that if \a NewScalarType is equal to the current scalar type of \c *this
+    * then this function smartly returns a const reference to \c *this.
+    */
+  template<typename NewScalarType>
+  EIGEN_DEVICE_FUNC inline typename internal::cast_return_type<Derived,Quaternion<NewScalarType> >::type cast() const;
+
+  #else
+
+  template<typename NewScalarType>
+  EIGEN_DEVICE_FUNC inline 
+  typename internal::enable_if<internal::is_same<Scalar,NewScalarType>::value,const Derived&>::type cast() const
+  {
+    return derived();
+  }
+
+  template<typename NewScalarType>
+  EIGEN_DEVICE_FUNC inline 
+  typename internal::enable_if<!internal::is_same<Scalar,NewScalarType>::value,Quaternion<NewScalarType> >::type cast() const
+  {
+    return Quaternion<NewScalarType>(coeffs().template cast<NewScalarType>());
+  }
+  #endif
+
+#ifdef EIGEN_QUATERNIONBASE_PLUGIN
+# include EIGEN_QUATERNIONBASE_PLUGIN
+#endif
+protected:
+  EIGEN_DEFAULT_COPY_CONSTRUCTOR(QuaternionBase)
+  EIGEN_DEFAULT_EMPTY_CONSTRUCTOR_AND_DESTRUCTOR(QuaternionBase)
+};
+
+/***************************************************************************
+* Definition/implementation of Quaternion<Scalar>
+***************************************************************************/
+
+/** \geometry_module \ingroup Geometry_Module
+  *
+  * \class Quaternion
+  *
+  * \brief The quaternion class used to represent 3D orientations and rotations
+  *
+  * \tparam _Scalar the scalar type, i.e., the type of the coefficients
+  * \tparam _Options controls the memory alignment of the coefficients. Can be \# AutoAlign or \# DontAlign. Default is AutoAlign.
+  *
+  * This class represents a quaternion \f$ w+xi+yj+zk \f$ that is a convenient representation of
+  * orientations and rotations of objects in three dimensions. Compared to other representations
+  * like Euler angles or 3x3 matrices, quaternions offer the following advantages:
+  * \li \b compact storage (4 scalars)
+  * \li \b efficient to compose (28 flops),
+  * \li \b stable spherical interpolation
+  *
+  * The following two typedefs are provided for convenience:
+  * \li \c Quaternionf for \c float
+  * \li \c Quaterniond for \c double
+  *
+  * \warning Operations interpreting the quaternion as rotation have undefined behavior if the quaternion is not normalized.
+  *
+  * \sa  class AngleAxis, class Transform
+  */
+
+namespace internal {
+template<typename _Scalar,int _Options>
+struct traits<Quaternion<_Scalar,_Options> >
+{
+  typedef Quaternion<_Scalar,_Options> PlainObject;
+  typedef _Scalar Scalar;
+  typedef Matrix<_Scalar,4,1,_Options> Coefficients;
+  enum{
+    Alignment = internal::traits<Coefficients>::Alignment,
+    Flags = LvalueBit
+  };
+};
+}
+
+template<typename _Scalar, int _Options>
+class Quaternion : public QuaternionBase<Quaternion<_Scalar,_Options> >
+{
+public:
+  typedef QuaternionBase<Quaternion<_Scalar,_Options> > Base;
+  enum { NeedsAlignment = internal::traits<Quaternion>::Alignment>0 };
+
+  typedef _Scalar Scalar;
+
+  EIGEN_INHERIT_ASSIGNMENT_OPERATORS(Quaternion)
+  using Base::operator*=;
+
+  typedef typename internal::traits<Quaternion>::Coefficients Coefficients;
+  typedef typename Base::AngleAxisType AngleAxisType;
+
+  /** Default constructor leaving the quaternion uninitialized. */
+  EIGEN_DEVICE_FUNC inline Quaternion() {}
+
+  /** Constructs and initializes the quaternion \f$ w+xi+yj+zk \f$ from
+    * its four coefficients \a w, \a x, \a y and \a z.
+    *
+    * \warning Note the order of the arguments: the real \a w coefficient first,
+    * while internally the coefficients are stored in the following order:
+    * [\c x, \c y, \c z, \c w]
+    */
+  EIGEN_DEVICE_FUNC inline Quaternion(const Scalar& w, const Scalar& x, const Scalar& y, const Scalar& z) : m_coeffs(x, y, z, w){}
+
+  /** Constructs and initialize a quaternion from the array data */
+  EIGEN_DEVICE_FUNC explicit inline Quaternion(const Scalar* data) : m_coeffs(data) {}
+
+  /** Copy constructor */
+  template<class Derived> EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE Quaternion(const QuaternionBase<Derived>& other) { this->Base::operator=(other); }
+
+  /** Constructs and initializes a quaternion from the angle-axis \a aa */
+  EIGEN_DEVICE_FUNC explicit inline Quaternion(const AngleAxisType& aa) { *this = aa; }
+
+  /** Constructs and initializes a quaternion from either:
+    *  - a rotation matrix expression,
+    *  - a 4D vector expression representing quaternion coefficients.
+    */
+  template<typename Derived>
+  EIGEN_DEVICE_FUNC explicit inline Quaternion(const MatrixBase<Derived>& other) { *this = other; }
+
+  /** Explicit copy constructor with scalar conversion */
+  template<typename OtherScalar, int OtherOptions>
+  EIGEN_DEVICE_FUNC explicit inline Quaternion(const Quaternion<OtherScalar, OtherOptions>& other)
+  { m_coeffs = other.coeffs().template cast<Scalar>(); }
+
+  EIGEN_DEVICE_FUNC static Quaternion UnitRandom();
+
+  template<typename Derived1, typename Derived2>
+  EIGEN_DEVICE_FUNC static Quaternion FromTwoVectors(const MatrixBase<Derived1>& a, const MatrixBase<Derived2>& b);
+
+  EIGEN_DEVICE_FUNC inline Coefficients& coeffs() { return m_coeffs;}
+  EIGEN_DEVICE_FUNC inline const Coefficients& coeffs() const { return m_coeffs;}
+
+  EIGEN_MAKE_ALIGNED_OPERATOR_NEW_IF(bool(NeedsAlignment))
+  
+#ifdef EIGEN_QUATERNION_PLUGIN
+# include EIGEN_QUATERNION_PLUGIN
+#endif
+
+protected:
+  Coefficients m_coeffs;
+  
+#ifndef EIGEN_PARSED_BY_DOXYGEN
+    static EIGEN_STRONG_INLINE void _check_template_params()
+    {
+      EIGEN_STATIC_ASSERT( (_Options & DontAlign) == _Options,
+        INVALID_MATRIX_TEMPLATE_PARAMETERS)
+    }
+#endif
+};
+
+/** \ingroup Geometry_Module
+  * single precision quaternion type */
+typedef Quaternion<float> Quaternionf;
+/** \ingroup Geometry_Module
+  * double precision quaternion type */
+typedef Quaternion<double> Quaterniond;
+
+/***************************************************************************
+* Specialization of Map<Quaternion<Scalar>>
+***************************************************************************/
+
+namespace internal {
+  template<typename _Scalar, int _Options>
+  struct traits<Map<Quaternion<_Scalar>, _Options> > : traits<Quaternion<_Scalar, (int(_Options)&Aligned)==Aligned ? AutoAlign : DontAlign> >
+  {
+    typedef Map<Matrix<_Scalar,4,1>, _Options> Coefficients;
+  };
+}
+
+namespace internal {
+  template<typename _Scalar, int _Options>
+  struct traits<Map<const Quaternion<_Scalar>, _Options> > : traits<Quaternion<_Scalar, (int(_Options)&Aligned)==Aligned ? AutoAlign : DontAlign> >
+  {
+    typedef Map<const Matrix<_Scalar,4,1>, _Options> Coefficients;
+    typedef traits<Quaternion<_Scalar, (int(_Options)&Aligned)==Aligned ? AutoAlign : DontAlign> > TraitsBase;
+    enum {
+      Flags = TraitsBase::Flags & ~LvalueBit
+    };
+  };
+}
+
+/** \ingroup Geometry_Module
+  * \brief Quaternion expression mapping a constant memory buffer
+  *
+  * \tparam _Scalar the type of the Quaternion coefficients
+  * \tparam _Options see class Map
+  *
+  * This is a specialization of class Map for Quaternion. This class allows to view
+  * a 4 scalar memory buffer as an Eigen's Quaternion object.
+  *
+  * \sa class Map, class Quaternion, class QuaternionBase
+  */
+template<typename _Scalar, int _Options>
+class Map<const Quaternion<_Scalar>, _Options >
+  : public QuaternionBase<Map<const Quaternion<_Scalar>, _Options> >
+{
+  public:
+    typedef QuaternionBase<Map<const Quaternion<_Scalar>, _Options> > Base;
+
+    typedef _Scalar Scalar;
+    typedef typename internal::traits<Map>::Coefficients Coefficients;
+    EIGEN_INHERIT_ASSIGNMENT_OPERATORS(Map)
+    using Base::operator*=;
+
+    /** Constructs a Mapped Quaternion object from the pointer \a coeffs
+      *
+      * The pointer \a coeffs must reference the four coefficients of Quaternion in the following order:
+      * \code *coeffs == {x, y, z, w} \endcode
+      *
+      * If the template parameter _Options is set to #Aligned, then the pointer coeffs must be aligned. */
+    EIGEN_DEVICE_FUNC explicit EIGEN_STRONG_INLINE Map(const Scalar* coeffs) : m_coeffs(coeffs) {}
+
+    EIGEN_DEVICE_FUNC inline const Coefficients& coeffs() const { return m_coeffs;}
+
+  protected:
+    const Coefficients m_coeffs;
+};
+
+/** \ingroup Geometry_Module
+  * \brief Expression of a quaternion from a memory buffer
+  *
+  * \tparam _Scalar the type of the Quaternion coefficients
+  * \tparam _Options see class Map
+  *
+  * This is a specialization of class Map for Quaternion. This class allows to view
+  * a 4 scalar memory buffer as an Eigen's  Quaternion object.
+  *
+  * \sa class Map, class Quaternion, class QuaternionBase
+  */
+template<typename _Scalar, int _Options>
+class Map<Quaternion<_Scalar>, _Options >
+  : public QuaternionBase<Map<Quaternion<_Scalar>, _Options> >
+{
+  public:
+    typedef QuaternionBase<Map<Quaternion<_Scalar>, _Options> > Base;
+
+    typedef _Scalar Scalar;
+    typedef typename internal::traits<Map>::Coefficients Coefficients;
+    EIGEN_INHERIT_ASSIGNMENT_OPERATORS(Map)
+    using Base::operator*=;
+
+    /** Constructs a Mapped Quaternion object from the pointer \a coeffs
+      *
+      * The pointer \a coeffs must reference the four coefficients of Quaternion in the following order:
+      * \code *coeffs == {x, y, z, w} \endcode
+      *
+      * If the template parameter _Options is set to #Aligned, then the pointer coeffs must be aligned. */
+    EIGEN_DEVICE_FUNC explicit EIGEN_STRONG_INLINE Map(Scalar* coeffs) : m_coeffs(coeffs) {}
+
+    EIGEN_DEVICE_FUNC inline Coefficients& coeffs() { return m_coeffs; }
+    EIGEN_DEVICE_FUNC inline const Coefficients& coeffs() const { return m_coeffs; }
+
+  protected:
+    Coefficients m_coeffs;
+};
+
+/** \ingroup Geometry_Module
+  * Map an unaligned array of single precision scalars as a quaternion */
+typedef Map<Quaternion<float>, 0>         QuaternionMapf;
+/** \ingroup Geometry_Module
+  * Map an unaligned array of double precision scalars as a quaternion */
+typedef Map<Quaternion<double>, 0>        QuaternionMapd;
+/** \ingroup Geometry_Module
+  * Map a 16-byte aligned array of single precision scalars as a quaternion */
+typedef Map<Quaternion<float>, Aligned>   QuaternionMapAlignedf;
+/** \ingroup Geometry_Module
+  * Map a 16-byte aligned array of double precision scalars as a quaternion */
+typedef Map<Quaternion<double>, Aligned>  QuaternionMapAlignedd;
+
+/***************************************************************************
+* Implementation of QuaternionBase methods
+***************************************************************************/
+
+// Generic Quaternion * Quaternion product
+// This product can be specialized for a given architecture via the Arch template argument.
+namespace internal {
+template<int Arch, class Derived1, class Derived2, typename Scalar> struct quat_product
+{
+  EIGEN_DEVICE_FUNC static EIGEN_STRONG_INLINE Quaternion<Scalar> run(const QuaternionBase<Derived1>& a, const QuaternionBase<Derived2>& b){
+    return Quaternion<Scalar>
+    (
+      a.w() * b.w() - a.x() * b.x() - a.y() * b.y() - a.z() * b.z(),
+      a.w() * b.x() + a.x() * b.w() + a.y() * b.z() - a.z() * b.y(),
+      a.w() * b.y() + a.y() * b.w() + a.z() * b.x() - a.x() * b.z(),
+      a.w() * b.z() + a.z() * b.w() + a.x() * b.y() - a.y() * b.x()
+    );
+  }
+};
+}
+
+/** \returns the concatenation of two rotations as a quaternion-quaternion product */
+template <class Derived>
+template <class OtherDerived>
+EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE Quaternion<typename internal::traits<Derived>::Scalar>
+QuaternionBase<Derived>::operator* (const QuaternionBase<OtherDerived>& other) const
+{
+  EIGEN_STATIC_ASSERT((internal::is_same<typename Derived::Scalar, typename OtherDerived::Scalar>::value),
+   YOU_MIXED_DIFFERENT_NUMERIC_TYPES__YOU_NEED_TO_USE_THE_CAST_METHOD_OF_MATRIXBASE_TO_CAST_NUMERIC_TYPES_EXPLICITLY)
+  return internal::quat_product<Architecture::Target, Derived, OtherDerived,
+                         typename internal::traits<Derived>::Scalar>::run(*this, other);
+}
+
+/** \sa operator*(Quaternion) */
+template <class Derived>
+template <class OtherDerived>
+EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE Derived& QuaternionBase<Derived>::operator*= (const QuaternionBase<OtherDerived>& other)
+{
+  derived() = derived() * other.derived();
+  return derived();
+}
+
+/** Rotation of a vector by a quaternion.
+  * \remarks If the quaternion is used to rotate several points (>1)
+  * then it is much more efficient to first convert it to a 3x3 Matrix.
+  * Comparison of the operation cost for n transformations:
+  *   - Quaternion2:    30n
+  *   - Via a Matrix3: 24 + 15n
+  */
+template <class Derived>
+EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE typename QuaternionBase<Derived>::Vector3
+QuaternionBase<Derived>::_transformVector(const Vector3& v) const
+{
+    // Note that this algorithm comes from the optimization by hand
+    // of the conversion to a Matrix followed by a Matrix/Vector product.
+    // It appears to be much faster than the common algorithm found
+    // in the literature (30 versus 39 flops). It also requires two
+    // Vector3 as temporaries.
+    Vector3 uv = this->vec().cross(v);
+    uv += uv;
+    return v + this->w() * uv + this->vec().cross(uv);
+}
+
+template<class Derived>
+EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE QuaternionBase<Derived>& QuaternionBase<Derived>::operator=(const QuaternionBase<Derived>& other)
+{
+  coeffs() = other.coeffs();
+  return derived();
+}
+
+template<class Derived>
+template<class OtherDerived>
+EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE Derived& QuaternionBase<Derived>::operator=(const QuaternionBase<OtherDerived>& other)
+{
+  coeffs() = other.coeffs();
+  return derived();
+}
+
+/** Set \c *this from an angle-axis \a aa and returns a reference to \c *this
+  */
+template<class Derived>
+EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE Derived& QuaternionBase<Derived>::operator=(const AngleAxisType& aa)
+{
+  EIGEN_USING_STD_MATH(cos)
+  EIGEN_USING_STD_MATH(sin)
+  Scalar ha = Scalar(0.5)*aa.angle(); // Scalar(0.5) to suppress precision loss warnings
+  this->w() = cos(ha);
+  this->vec() = sin(ha) * aa.axis();
+  return derived();
+}
+
+/** Set \c *this from the expression \a xpr:
+  *   - if \a xpr is a 4x1 vector, then \a xpr is assumed to be a quaternion
+  *   - if \a xpr is a 3x3 matrix, then \a xpr is assumed to be rotation matrix
+  *     and \a xpr is converted to a quaternion
+  */
+
+template<class Derived>
+template<class MatrixDerived>
+EIGEN_DEVICE_FUNC inline Derived& QuaternionBase<Derived>::operator=(const MatrixBase<MatrixDerived>& xpr)
+{
+  EIGEN_STATIC_ASSERT((internal::is_same<typename Derived::Scalar, typename MatrixDerived::Scalar>::value),
+   YOU_MIXED_DIFFERENT_NUMERIC_TYPES__YOU_NEED_TO_USE_THE_CAST_METHOD_OF_MATRIXBASE_TO_CAST_NUMERIC_TYPES_EXPLICITLY)
+  internal::quaternionbase_assign_impl<MatrixDerived>::run(*this, xpr.derived());
+  return derived();
+}
+
+/** Convert the quaternion to a 3x3 rotation matrix. The quaternion is required to
+  * be normalized, otherwise the result is undefined.
+  */
+template<class Derived>
+EIGEN_DEVICE_FUNC inline typename QuaternionBase<Derived>::Matrix3
+QuaternionBase<Derived>::toRotationMatrix(void) const
+{
+  // NOTE if inlined, then gcc 4.2 and 4.4 get rid of the temporary (not gcc 4.3 !!)
+  // if not inlined then the cost of the return by value is huge ~ +35%,
+  // however, not inlining this function is an order of magnitude slower, so
+  // it has to be inlined, and so the return by value is not an issue
+  Matrix3 res;
+
+  const Scalar tx  = Scalar(2)*this->x();
+  const Scalar ty  = Scalar(2)*this->y();
+  const Scalar tz  = Scalar(2)*this->z();
+  const Scalar twx = tx*this->w();
+  const Scalar twy = ty*this->w();
+  const Scalar twz = tz*this->w();
+  const Scalar txx = tx*this->x();
+  const Scalar txy = ty*this->x();
+  const Scalar txz = tz*this->x();
+  const Scalar tyy = ty*this->y();
+  const Scalar tyz = tz*this->y();
+  const Scalar tzz = tz*this->z();
+
+  res.coeffRef(0,0) = Scalar(1)-(tyy+tzz);
+  res.coeffRef(0,1) = txy-twz;
+  res.coeffRef(0,2) = txz+twy;
+  res.coeffRef(1,0) = txy+twz;
+  res.coeffRef(1,1) = Scalar(1)-(txx+tzz);
+  res.coeffRef(1,2) = tyz-twx;
+  res.coeffRef(2,0) = txz-twy;
+  res.coeffRef(2,1) = tyz+twx;
+  res.coeffRef(2,2) = Scalar(1)-(txx+tyy);
+
+  return res;
+}
+
+/** Sets \c *this to be a quaternion representing a rotation between
+  * the two arbitrary vectors \a a and \a b. In other words, the built
+  * rotation represent a rotation sending the line of direction \a a
+  * to the line of direction \a b, both lines passing through the origin.
+  *
+  * \returns a reference to \c *this.
+  *
+  * Note that the two input vectors do \b not have to be normalized, and
+  * do not need to have the same norm.
+  */
+template<class Derived>
+template<typename Derived1, typename Derived2>
+EIGEN_DEVICE_FUNC inline Derived& QuaternionBase<Derived>::setFromTwoVectors(const MatrixBase<Derived1>& a, const MatrixBase<Derived2>& b)
+{
+  EIGEN_USING_STD_MATH(sqrt)
+  Vector3 v0 = a.normalized();
+  Vector3 v1 = b.normalized();
+  Scalar c = v1.dot(v0);
+
+  // if dot == -1, vectors are nearly opposites
+  // => accurately compute the rotation axis by computing the
+  //    intersection of the two planes. This is done by solving:
+  //       x^T v0 = 0
+  //       x^T v1 = 0
+  //    under the constraint:
+  //       ||x|| = 1
+  //    which yields a singular value problem
+  if (c < Scalar(-1)+NumTraits<Scalar>::dummy_precision())
+  {
+    c = numext::maxi(c,Scalar(-1));
+    Matrix<Scalar,2,3> m; m << v0.transpose(), v1.transpose();
+    JacobiSVD<Matrix<Scalar,2,3> > svd(m, ComputeFullV);
+    Vector3 axis = svd.matrixV().col(2);
+
+    Scalar w2 = (Scalar(1)+c)*Scalar(0.5);
+    this->w() = sqrt(w2);
+    this->vec() = axis * sqrt(Scalar(1) - w2);
+    return derived();
+  }
+  Vector3 axis = v0.cross(v1);
+  Scalar s = sqrt((Scalar(1)+c)*Scalar(2));
+  Scalar invs = Scalar(1)/s;
+  this->vec() = axis * invs;
+  this->w() = s * Scalar(0.5);
+
+  return derived();
+}
+
+/** \returns a random unit quaternion following a uniform distribution law on SO(3)
+  *
+  * \note The implementation is based on http://planning.cs.uiuc.edu/node198.html
+  */
+template<typename Scalar, int Options>
+EIGEN_DEVICE_FUNC Quaternion<Scalar,Options> Quaternion<Scalar,Options>::UnitRandom()
+{
+  EIGEN_USING_STD_MATH(sqrt)
+  EIGEN_USING_STD_MATH(sin)
+  EIGEN_USING_STD_MATH(cos)
+  const Scalar u1 = internal::random<Scalar>(0, 1),
+               u2 = internal::random<Scalar>(0, 2*EIGEN_PI),
+               u3 = internal::random<Scalar>(0, 2*EIGEN_PI);
+  const Scalar a = sqrt(1 - u1),
+               b = sqrt(u1);
+  return Quaternion (a * sin(u2), a * cos(u2), b * sin(u3), b * cos(u3));
+}
+
+
+/** Returns a quaternion representing a rotation between
+  * the two arbitrary vectors \a a and \a b. In other words, the built
+  * rotation represent a rotation sending the line of direction \a a
+  * to the line of direction \a b, both lines passing through the origin.
+  *
+  * \returns resulting quaternion
+  *
+  * Note that the two input vectors do \b not have to be normalized, and
+  * do not need to have the same norm.
+  */
+template<typename Scalar, int Options>
+template<typename Derived1, typename Derived2>
+EIGEN_DEVICE_FUNC Quaternion<Scalar,Options> Quaternion<Scalar,Options>::FromTwoVectors(const MatrixBase<Derived1>& a, const MatrixBase<Derived2>& b)
+{
+    Quaternion quat;
+    quat.setFromTwoVectors(a, b);
+    return quat;
+}
+
+
+/** \returns the multiplicative inverse of \c *this
+  * Note that in most cases, i.e., if you simply want the opposite rotation,
+  * and/or the quaternion is normalized, then it is enough to use the conjugate.
+  *
+  * \sa QuaternionBase::conjugate()
+  */
+template <class Derived>
+EIGEN_DEVICE_FUNC inline Quaternion<typename internal::traits<Derived>::Scalar> QuaternionBase<Derived>::inverse() const
+{
+  // FIXME should this function be called multiplicativeInverse and conjugate() be called inverse() or opposite()  ??
+  Scalar n2 = this->squaredNorm();
+  if (n2 > Scalar(0))
+    return Quaternion<Scalar>(conjugate().coeffs() / n2);
+  else
+  {
+    // return an invalid result to flag the error
+    return Quaternion<Scalar>(Coefficients::Zero());
+  }
+}
+
+// Generic conjugate of a Quaternion
+namespace internal {
+template<int Arch, class Derived, typename Scalar> struct quat_conj
+{
+  EIGEN_DEVICE_FUNC static EIGEN_STRONG_INLINE Quaternion<Scalar> run(const QuaternionBase<Derived>& q){
+    return Quaternion<Scalar>(q.w(),-q.x(),-q.y(),-q.z());
+  }
+};
+}
+                         
+/** \returns the conjugate of the \c *this which is equal to the multiplicative inverse
+  * if the quaternion is normalized.
+  * The conjugate of a quaternion represents the opposite rotation.
+  *
+  * \sa Quaternion2::inverse()
+  */
+template <class Derived>
+EIGEN_DEVICE_FUNC inline Quaternion<typename internal::traits<Derived>::Scalar>
+QuaternionBase<Derived>::conjugate() const
+{
+  return internal::quat_conj<Architecture::Target, Derived,
+                         typename internal::traits<Derived>::Scalar>::run(*this);
+                         
+}
+
+/** \returns the angle (in radian) between two rotations
+  * \sa dot()
+  */
+template <class Derived>
+template <class OtherDerived>
+EIGEN_DEVICE_FUNC inline typename internal::traits<Derived>::Scalar
+QuaternionBase<Derived>::angularDistance(const QuaternionBase<OtherDerived>& other) const
+{
+  EIGEN_USING_STD_MATH(atan2)
+  Quaternion<Scalar> d = (*this) * other.conjugate();
+  return Scalar(2) * atan2( d.vec().norm(), numext::abs(d.w()) );
+}
+
+ 
+    
+/** \returns the spherical linear interpolation between the two quaternions
+  * \c *this and \a other at the parameter \a t in [0;1].
+  * 
+  * This represents an interpolation for a constant motion between \c *this and \a other,
+  * see also http://en.wikipedia.org/wiki/Slerp.
+  */
+template <class Derived>
+template <class OtherDerived>
+EIGEN_DEVICE_FUNC Quaternion<typename internal::traits<Derived>::Scalar>
+QuaternionBase<Derived>::slerp(const Scalar& t, const QuaternionBase<OtherDerived>& other) const
+{
+  EIGEN_USING_STD_MATH(acos)
+  EIGEN_USING_STD_MATH(sin)
+  const Scalar one = Scalar(1) - NumTraits<Scalar>::epsilon();
+  Scalar d = this->dot(other);
+  Scalar absD = numext::abs(d);
+
+  Scalar scale0;
+  Scalar scale1;
+
+  if(absD>=one)
+  {
+    scale0 = Scalar(1) - t;
+    scale1 = t;
+  }
+  else
+  {
+    // theta is the angle between the 2 quaternions
+    Scalar theta = acos(absD);
+    Scalar sinTheta = sin(theta);
+
+    scale0 = sin( ( Scalar(1) - t ) * theta) / sinTheta;
+    scale1 = sin( ( t * theta) ) / sinTheta;
+  }
+  if(d<Scalar(0)) scale1 = -scale1;
+
+  return Quaternion<Scalar>(scale0 * coeffs() + scale1 * other.coeffs());
+}
+
+namespace internal {
+
+// set from a rotation matrix
+template<typename Other>
+struct quaternionbase_assign_impl<Other,3,3>
+{
+  typedef typename Other::Scalar Scalar;
+  template<class Derived> EIGEN_DEVICE_FUNC static inline void run(QuaternionBase<Derived>& q, const Other& a_mat)
+  {
+    const typename internal::nested_eval<Other,2>::type mat(a_mat);
+    EIGEN_USING_STD_MATH(sqrt)
+    // This algorithm comes from  "Quaternion Calculus and Fast Animation",
+    // Ken Shoemake, 1987 SIGGRAPH course notes
+    Scalar t = mat.trace();
+    if (t > Scalar(0))
+    {
+      t = sqrt(t + Scalar(1.0));
+      q.w() = Scalar(0.5)*t;
+      t = Scalar(0.5)/t;
+      q.x() = (mat.coeff(2,1) - mat.coeff(1,2)) * t;
+      q.y() = (mat.coeff(0,2) - mat.coeff(2,0)) * t;
+      q.z() = (mat.coeff(1,0) - mat.coeff(0,1)) * t;
+    }
+    else
+    {
+      Index i = 0;
+      if (mat.coeff(1,1) > mat.coeff(0,0))
+        i = 1;
+      if (mat.coeff(2,2) > mat.coeff(i,i))
+        i = 2;
+      Index j = (i+1)%3;
+      Index k = (j+1)%3;
+
+      t = sqrt(mat.coeff(i,i)-mat.coeff(j,j)-mat.coeff(k,k) + Scalar(1.0));
+      q.coeffs().coeffRef(i) = Scalar(0.5) * t;
+      t = Scalar(0.5)/t;
+      q.w() = (mat.coeff(k,j)-mat.coeff(j,k))*t;
+      q.coeffs().coeffRef(j) = (mat.coeff(j,i)+mat.coeff(i,j))*t;
+      q.coeffs().coeffRef(k) = (mat.coeff(k,i)+mat.coeff(i,k))*t;
+    }
+  }
+};
+
+// set from a vector of coefficients assumed to be a quaternion
+template<typename Other>
+struct quaternionbase_assign_impl<Other,4,1>
+{
+  typedef typename Other::Scalar Scalar;
+  template<class Derived> EIGEN_DEVICE_FUNC static inline void run(QuaternionBase<Derived>& q, const Other& vec)
+  {
+    q.coeffs() = vec;
+  }
+};
+
+} // end namespace internal
+
+} // end namespace Eigen
+
+#endif // EIGEN_QUATERNION_H
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Geometry/Rotation2D.h
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Geometry/Rotation2D.h	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Geometry/Rotation2D.h	(revision 3761)
@@ -0,0 +1,199 @@
+// This file is part of Eigen, a lightweight C++ template library
+// for linear algebra.
+//
+// Copyright (C) 2008 Gael Guennebaud <gael.guennebaud@inria.fr>
+//
+// This Source Code Form is subject to the terms of the Mozilla
+// Public License v. 2.0. If a copy of the MPL was not distributed
+// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
+
+#ifndef EIGEN_ROTATION2D_H
+#define EIGEN_ROTATION2D_H
+
+namespace Eigen { 
+
+/** \geometry_module \ingroup Geometry_Module
+  *
+  * \class Rotation2D
+  *
+  * \brief Represents a rotation/orientation in a 2 dimensional space.
+  *
+  * \tparam _Scalar the scalar type, i.e., the type of the coefficients
+  *
+  * This class is equivalent to a single scalar representing a counter clock wise rotation
+  * as a single angle in radian. It provides some additional features such as the automatic
+  * conversion from/to a 2x2 rotation matrix. Moreover this class aims to provide a similar
+  * interface to Quaternion in order to facilitate the writing of generic algorithms
+  * dealing with rotations.
+  *
+  * \sa class Quaternion, class Transform
+  */
+
+namespace internal {
+
+template<typename _Scalar> struct traits<Rotation2D<_Scalar> >
+{
+  typedef _Scalar Scalar;
+};
+} // end namespace internal
+
+template<typename _Scalar>
+class Rotation2D : public RotationBase<Rotation2D<_Scalar>,2>
+{
+  typedef RotationBase<Rotation2D<_Scalar>,2> Base;
+
+public:
+
+  using Base::operator*;
+
+  enum { Dim = 2 };
+  /** the scalar type of the coefficients */
+  typedef _Scalar Scalar;
+  typedef Matrix<Scalar,2,1> Vector2;
+  typedef Matrix<Scalar,2,2> Matrix2;
+
+protected:
+
+  Scalar m_angle;
+
+public:
+
+  /** Construct a 2D counter clock wise rotation from the angle \a a in radian. */
+  EIGEN_DEVICE_FUNC explicit inline Rotation2D(const Scalar& a) : m_angle(a) {}
+  
+  /** Default constructor wihtout initialization. The represented rotation is undefined. */
+  EIGEN_DEVICE_FUNC Rotation2D() {}
+
+  /** Construct a 2D rotation from a 2x2 rotation matrix \a mat.
+    *
+    * \sa fromRotationMatrix()
+    */
+  template<typename Derived>
+  EIGEN_DEVICE_FUNC explicit Rotation2D(const MatrixBase<Derived>& m)
+  {
+    fromRotationMatrix(m.derived());
+  }
+
+  /** \returns the rotation angle */
+  EIGEN_DEVICE_FUNC inline Scalar angle() const { return m_angle; }
+
+  /** \returns a read-write reference to the rotation angle */
+  EIGEN_DEVICE_FUNC inline Scalar& angle() { return m_angle; }
+  
+  /** \returns the rotation angle in [0,2pi] */
+  EIGEN_DEVICE_FUNC inline Scalar smallestPositiveAngle() const {
+    Scalar tmp = numext::fmod(m_angle,Scalar(2*EIGEN_PI));
+    return tmp<Scalar(0) ? tmp + Scalar(2*EIGEN_PI) : tmp;
+  }
+  
+  /** \returns the rotation angle in [-pi,pi] */
+  EIGEN_DEVICE_FUNC inline Scalar smallestAngle() const {
+    Scalar tmp = numext::fmod(m_angle,Scalar(2*EIGEN_PI));
+    if(tmp>Scalar(EIGEN_PI))       tmp -= Scalar(2*EIGEN_PI);
+    else if(tmp<-Scalar(EIGEN_PI)) tmp += Scalar(2*EIGEN_PI);
+    return tmp;
+  }
+
+  /** \returns the inverse rotation */
+  EIGEN_DEVICE_FUNC inline Rotation2D inverse() const { return Rotation2D(-m_angle); }
+
+  /** Concatenates two rotations */
+  EIGEN_DEVICE_FUNC inline Rotation2D operator*(const Rotation2D& other) const
+  { return Rotation2D(m_angle + other.m_angle); }
+
+  /** Concatenates two rotations */
+  EIGEN_DEVICE_FUNC inline Rotation2D& operator*=(const Rotation2D& other)
+  { m_angle += other.m_angle; return *this; }
+
+  /** Applies the rotation to a 2D vector */
+  EIGEN_DEVICE_FUNC Vector2 operator* (const Vector2& vec) const
+  { return toRotationMatrix() * vec; }
+  
+  template<typename Derived>
+  EIGEN_DEVICE_FUNC Rotation2D& fromRotationMatrix(const MatrixBase<Derived>& m);
+  EIGEN_DEVICE_FUNC Matrix2 toRotationMatrix() const;
+
+  /** Set \c *this from a 2x2 rotation matrix \a mat.
+    * In other words, this function extract the rotation angle from the rotation matrix.
+    *
+    * This method is an alias for fromRotationMatrix()
+    *
+    * \sa fromRotationMatrix()
+    */
+  template<typename Derived>
+  EIGEN_DEVICE_FUNC Rotation2D& operator=(const  MatrixBase<Derived>& m)
+  { return fromRotationMatrix(m.derived()); }
+
+  /** \returns the spherical interpolation between \c *this and \a other using
+    * parameter \a t. It is in fact equivalent to a linear interpolation.
+    */
+  EIGEN_DEVICE_FUNC inline Rotation2D slerp(const Scalar& t, const Rotation2D& other) const
+  {
+    Scalar dist = Rotation2D(other.m_angle-m_angle).smallestAngle();
+    return Rotation2D(m_angle + dist*t);
+  }
+
+  /** \returns \c *this with scalar type casted to \a NewScalarType
+    *
+    * Note that if \a NewScalarType is equal to the current scalar type of \c *this
+    * then this function smartly returns a const reference to \c *this.
+    */
+  template<typename NewScalarType>
+  EIGEN_DEVICE_FUNC inline typename internal::cast_return_type<Rotation2D,Rotation2D<NewScalarType> >::type cast() const
+  { return typename internal::cast_return_type<Rotation2D,Rotation2D<NewScalarType> >::type(*this); }
+
+  /** Copy constructor with scalar type conversion */
+  template<typename OtherScalarType>
+  EIGEN_DEVICE_FUNC inline explicit Rotation2D(const Rotation2D<OtherScalarType>& other)
+  {
+    m_angle = Scalar(other.angle());
+  }
+
+  EIGEN_DEVICE_FUNC static inline Rotation2D Identity() { return Rotation2D(0); }
+
+  /** \returns \c true if \c *this is approximately equal to \a other, within the precision
+    * determined by \a prec.
+    *
+    * \sa MatrixBase::isApprox() */
+  EIGEN_DEVICE_FUNC bool isApprox(const Rotation2D& other, const typename NumTraits<Scalar>::Real& prec = NumTraits<Scalar>::dummy_precision()) const
+  { return internal::isApprox(m_angle,other.m_angle, prec); }
+  
+};
+
+/** \ingroup Geometry_Module
+  * single precision 2D rotation type */
+typedef Rotation2D<float> Rotation2Df;
+/** \ingroup Geometry_Module
+  * double precision 2D rotation type */
+typedef Rotation2D<double> Rotation2Dd;
+
+/** Set \c *this from a 2x2 rotation matrix \a mat.
+  * In other words, this function extract the rotation angle
+  * from the rotation matrix.
+  */
+template<typename Scalar>
+template<typename Derived>
+EIGEN_DEVICE_FUNC Rotation2D<Scalar>& Rotation2D<Scalar>::fromRotationMatrix(const MatrixBase<Derived>& mat)
+{
+  EIGEN_USING_STD_MATH(atan2)
+  EIGEN_STATIC_ASSERT(Derived::RowsAtCompileTime==2 && Derived::ColsAtCompileTime==2,YOU_MADE_A_PROGRAMMING_MISTAKE)
+  m_angle = atan2(mat.coeff(1,0), mat.coeff(0,0));
+  return *this;
+}
+
+/** Constructs and \returns an equivalent 2x2 rotation matrix.
+  */
+template<typename Scalar>
+typename Rotation2D<Scalar>::Matrix2
+EIGEN_DEVICE_FUNC Rotation2D<Scalar>::toRotationMatrix(void) const
+{
+  EIGEN_USING_STD_MATH(sin)
+  EIGEN_USING_STD_MATH(cos)
+  Scalar sinA = sin(m_angle);
+  Scalar cosA = cos(m_angle);
+  return (Matrix2() << cosA, -sinA, sinA, cosA).finished();
+}
+
+} // end namespace Eigen
+
+#endif // EIGEN_ROTATION2D_H
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Geometry/EulerAngles.h
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Geometry/EulerAngles.h	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Geometry/EulerAngles.h	(revision 3761)
@@ -0,0 +1,114 @@
+// This file is part of Eigen, a lightweight C++ template library
+// for linear algebra.
+//
+// Copyright (C) 2008 Gael Guennebaud <gael.guennebaud@inria.fr>
+//
+// This Source Code Form is subject to the terms of the Mozilla
+// Public License v. 2.0. If a copy of the MPL was not distributed
+// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
+
+#ifndef EIGEN_EULERANGLES_H
+#define EIGEN_EULERANGLES_H
+
+namespace Eigen { 
+
+/** \geometry_module \ingroup Geometry_Module
+  *
+  *
+  * \returns the Euler-angles of the rotation matrix \c *this using the convention defined by the triplet (\a a0,\a a1,\a a2)
+  *
+  * Each of the three parameters \a a0,\a a1,\a a2 represents the respective rotation axis as an integer in {0,1,2}.
+  * For instance, in:
+  * \code Vector3f ea = mat.eulerAngles(2, 0, 2); \endcode
+  * "2" represents the z axis and "0" the x axis, etc. The returned angles are such that
+  * we have the following equality:
+  * \code
+  * mat == AngleAxisf(ea[0], Vector3f::UnitZ())
+  *      * AngleAxisf(ea[1], Vector3f::UnitX())
+  *      * AngleAxisf(ea[2], Vector3f::UnitZ()); \endcode
+  * This corresponds to the right-multiply conventions (with right hand side frames).
+  * 
+  * The returned angles are in the ranges [0:pi]x[-pi:pi]x[-pi:pi].
+  * 
+  * \sa class AngleAxis
+  */
+template<typename Derived>
+EIGEN_DEVICE_FUNC inline Matrix<typename MatrixBase<Derived>::Scalar,3,1>
+MatrixBase<Derived>::eulerAngles(Index a0, Index a1, Index a2) const
+{
+  EIGEN_USING_STD_MATH(atan2)
+  EIGEN_USING_STD_MATH(sin)
+  EIGEN_USING_STD_MATH(cos)
+  /* Implemented from Graphics Gems IV */
+  EIGEN_STATIC_ASSERT_MATRIX_SPECIFIC_SIZE(Derived,3,3)
+
+  Matrix<Scalar,3,1> res;
+  typedef Matrix<typename Derived::Scalar,2,1> Vector2;
+
+  const Index odd = ((a0+1)%3 == a1) ? 0 : 1;
+  const Index i = a0;
+  const Index j = (a0 + 1 + odd)%3;
+  const Index k = (a0 + 2 - odd)%3;
+  
+  if (a0==a2)
+  {
+    res[0] = atan2(coeff(j,i), coeff(k,i));
+    if((odd && res[0]<Scalar(0)) || ((!odd) && res[0]>Scalar(0)))
+    {
+      if(res[0] > Scalar(0)) {
+        res[0] -= Scalar(EIGEN_PI);
+      }
+      else {
+        res[0] += Scalar(EIGEN_PI);
+      }
+      Scalar s2 = Vector2(coeff(j,i), coeff(k,i)).norm();
+      res[1] = -atan2(s2, coeff(i,i));
+    }
+    else
+    {
+      Scalar s2 = Vector2(coeff(j,i), coeff(k,i)).norm();
+      res[1] = atan2(s2, coeff(i,i));
+    }
+    
+    // With a=(0,1,0), we have i=0; j=1; k=2, and after computing the first two angles,
+    // we can compute their respective rotation, and apply its inverse to M. Since the result must
+    // be a rotation around x, we have:
+    //
+    //  c2  s1.s2 c1.s2                   1  0   0 
+    //  0   c1    -s1       *    M    =   0  c3  s3
+    //  -s2 s1.c2 c1.c2                   0 -s3  c3
+    //
+    //  Thus:  m11.c1 - m21.s1 = c3  &   m12.c1 - m22.s1 = s3
+    
+    Scalar s1 = sin(res[0]);
+    Scalar c1 = cos(res[0]);
+    res[2] = atan2(c1*coeff(j,k)-s1*coeff(k,k), c1*coeff(j,j) - s1 * coeff(k,j));
+  } 
+  else
+  {
+    res[0] = atan2(coeff(j,k), coeff(k,k));
+    Scalar c2 = Vector2(coeff(i,i), coeff(i,j)).norm();
+    if((odd && res[0]<Scalar(0)) || ((!odd) && res[0]>Scalar(0))) {
+      if(res[0] > Scalar(0)) {
+        res[0] -= Scalar(EIGEN_PI);
+      }
+      else {
+        res[0] += Scalar(EIGEN_PI);
+      }
+      res[1] = atan2(-coeff(i,k), -c2);
+    }
+    else
+      res[1] = atan2(-coeff(i,k), c2);
+    Scalar s1 = sin(res[0]);
+    Scalar c1 = cos(res[0]);
+    res[2] = atan2(s1*coeff(k,i)-c1*coeff(j,i), c1*coeff(j,j) - s1 * coeff(k,j));
+  }
+  if (!odd)
+    res = -res;
+  
+  return res;
+}
+
+} // end namespace Eigen
+
+#endif // EIGEN_EULERANGLES_H
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Geometry/Hyperplane.h
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Geometry/Hyperplane.h	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Geometry/Hyperplane.h	(revision 3761)
@@ -0,0 +1,282 @@
+// This file is part of Eigen, a lightweight C++ template library
+// for linear algebra.
+//
+// Copyright (C) 2008 Gael Guennebaud <gael.guennebaud@inria.fr>
+// Copyright (C) 2008 Benoit Jacob <jacob.benoit.1@gmail.com>
+//
+// This Source Code Form is subject to the terms of the Mozilla
+// Public License v. 2.0. If a copy of the MPL was not distributed
+// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
+
+#ifndef EIGEN_HYPERPLANE_H
+#define EIGEN_HYPERPLANE_H
+
+namespace Eigen { 
+
+/** \geometry_module \ingroup Geometry_Module
+  *
+  * \class Hyperplane
+  *
+  * \brief A hyperplane
+  *
+  * A hyperplane is an affine subspace of dimension n-1 in a space of dimension n.
+  * For example, a hyperplane in a plane is a line; a hyperplane in 3-space is a plane.
+  *
+  * \tparam _Scalar the scalar type, i.e., the type of the coefficients
+  * \tparam _AmbientDim the dimension of the ambient space, can be a compile time value or Dynamic.
+  *             Notice that the dimension of the hyperplane is _AmbientDim-1.
+  *
+  * This class represents an hyperplane as the zero set of the implicit equation
+  * \f$ n \cdot x + d = 0 \f$ where \f$ n \f$ is a unit normal vector of the plane (linear part)
+  * and \f$ d \f$ is the distance (offset) to the origin.
+  */
+template <typename _Scalar, int _AmbientDim, int _Options>
+class Hyperplane
+{
+public:
+  EIGEN_MAKE_ALIGNED_OPERATOR_NEW_IF_VECTORIZABLE_FIXED_SIZE(_Scalar,_AmbientDim==Dynamic ? Dynamic : _AmbientDim+1)
+  enum {
+    AmbientDimAtCompileTime = _AmbientDim,
+    Options = _Options
+  };
+  typedef _Scalar Scalar;
+  typedef typename NumTraits<Scalar>::Real RealScalar;
+  typedef Eigen::Index Index; ///< \deprecated since Eigen 3.3
+  typedef Matrix<Scalar,AmbientDimAtCompileTime,1> VectorType;
+  typedef Matrix<Scalar,Index(AmbientDimAtCompileTime)==Dynamic
+                        ? Dynamic
+                        : Index(AmbientDimAtCompileTime)+1,1,Options> Coefficients;
+  typedef Block<Coefficients,AmbientDimAtCompileTime,1> NormalReturnType;
+  typedef const Block<const Coefficients,AmbientDimAtCompileTime,1> ConstNormalReturnType;
+
+  /** Default constructor without initialization */
+  EIGEN_DEVICE_FUNC inline Hyperplane() {}
+  
+  template<int OtherOptions>
+  EIGEN_DEVICE_FUNC Hyperplane(const Hyperplane<Scalar,AmbientDimAtCompileTime,OtherOptions>& other)
+   : m_coeffs(other.coeffs())
+  {}
+
+  /** Constructs a dynamic-size hyperplane with \a _dim the dimension
+    * of the ambient space */
+  EIGEN_DEVICE_FUNC inline explicit Hyperplane(Index _dim) : m_coeffs(_dim+1) {}
+
+  /** Construct a plane from its normal \a n and a point \a e onto the plane.
+    * \warning the vector normal is assumed to be normalized.
+    */
+  EIGEN_DEVICE_FUNC inline Hyperplane(const VectorType& n, const VectorType& e)
+    : m_coeffs(n.size()+1)
+  {
+    normal() = n;
+    offset() = -n.dot(e);
+  }
+
+  /** Constructs a plane from its normal \a n and distance to the origin \a d
+    * such that the algebraic equation of the plane is \f$ n \cdot x + d = 0 \f$.
+    * \warning the vector normal is assumed to be normalized.
+    */
+  EIGEN_DEVICE_FUNC inline Hyperplane(const VectorType& n, const Scalar& d)
+    : m_coeffs(n.size()+1)
+  {
+    normal() = n;
+    offset() = d;
+  }
+
+  /** Constructs a hyperplane passing through the two points. If the dimension of the ambient space
+    * is greater than 2, then there isn't uniqueness, so an arbitrary choice is made.
+    */
+  EIGEN_DEVICE_FUNC static inline Hyperplane Through(const VectorType& p0, const VectorType& p1)
+  {
+    Hyperplane result(p0.size());
+    result.normal() = (p1 - p0).unitOrthogonal();
+    result.offset() = -p0.dot(result.normal());
+    return result;
+  }
+
+  /** Constructs a hyperplane passing through the three points. The dimension of the ambient space
+    * is required to be exactly 3.
+    */
+  EIGEN_DEVICE_FUNC static inline Hyperplane Through(const VectorType& p0, const VectorType& p1, const VectorType& p2)
+  {
+    EIGEN_STATIC_ASSERT_VECTOR_SPECIFIC_SIZE(VectorType, 3)
+    Hyperplane result(p0.size());
+    VectorType v0(p2 - p0), v1(p1 - p0);
+    result.normal() = v0.cross(v1);
+    RealScalar norm = result.normal().norm();
+    if(norm <= v0.norm() * v1.norm() * NumTraits<RealScalar>::epsilon())
+    {
+      Matrix<Scalar,2,3> m; m << v0.transpose(), v1.transpose();
+      JacobiSVD<Matrix<Scalar,2,3> > svd(m, ComputeFullV);
+      result.normal() = svd.matrixV().col(2);
+    }
+    else
+      result.normal() /= norm;
+    result.offset() = -p0.dot(result.normal());
+    return result;
+  }
+
+  /** Constructs a hyperplane passing through the parametrized line \a parametrized.
+    * If the dimension of the ambient space is greater than 2, then there isn't uniqueness,
+    * so an arbitrary choice is made.
+    */
+  // FIXME to be consitent with the rest this could be implemented as a static Through function ??
+  EIGEN_DEVICE_FUNC explicit Hyperplane(const ParametrizedLine<Scalar, AmbientDimAtCompileTime>& parametrized)
+  {
+    normal() = parametrized.direction().unitOrthogonal();
+    offset() = -parametrized.origin().dot(normal());
+  }
+
+  EIGEN_DEVICE_FUNC ~Hyperplane() {}
+
+  /** \returns the dimension in which the plane holds */
+  EIGEN_DEVICE_FUNC inline Index dim() const { return AmbientDimAtCompileTime==Dynamic ? m_coeffs.size()-1 : Index(AmbientDimAtCompileTime); }
+
+  /** normalizes \c *this */
+  EIGEN_DEVICE_FUNC void normalize(void)
+  {
+    m_coeffs /= normal().norm();
+  }
+
+  /** \returns the signed distance between the plane \c *this and a point \a p.
+    * \sa absDistance()
+    */
+  EIGEN_DEVICE_FUNC inline Scalar signedDistance(const VectorType& p) const { return normal().dot(p) + offset(); }
+
+  /** \returns the absolute distance between the plane \c *this and a point \a p.
+    * \sa signedDistance()
+    */
+  EIGEN_DEVICE_FUNC inline Scalar absDistance(const VectorType& p) const { return numext::abs(signedDistance(p)); }
+
+  /** \returns the projection of a point \a p onto the plane \c *this.
+    */
+  EIGEN_DEVICE_FUNC inline VectorType projection(const VectorType& p) const { return p - signedDistance(p) * normal(); }
+
+  /** \returns a constant reference to the unit normal vector of the plane, which corresponds
+    * to the linear part of the implicit equation.
+    */
+  EIGEN_DEVICE_FUNC inline ConstNormalReturnType normal() const { return ConstNormalReturnType(m_coeffs,0,0,dim(),1); }
+
+  /** \returns a non-constant reference to the unit normal vector of the plane, which corresponds
+    * to the linear part of the implicit equation.
+    */
+  EIGEN_DEVICE_FUNC inline NormalReturnType normal() { return NormalReturnType(m_coeffs,0,0,dim(),1); }
+
+  /** \returns the distance to the origin, which is also the "constant term" of the implicit equation
+    * \warning the vector normal is assumed to be normalized.
+    */
+  EIGEN_DEVICE_FUNC inline const Scalar& offset() const { return m_coeffs.coeff(dim()); }
+
+  /** \returns a non-constant reference to the distance to the origin, which is also the constant part
+    * of the implicit equation */
+  EIGEN_DEVICE_FUNC inline Scalar& offset() { return m_coeffs(dim()); }
+
+  /** \returns a constant reference to the coefficients c_i of the plane equation:
+    * \f$ c_0*x_0 + ... + c_{d-1}*x_{d-1} + c_d = 0 \f$
+    */
+  EIGEN_DEVICE_FUNC inline const Coefficients& coeffs() const { return m_coeffs; }
+
+  /** \returns a non-constant reference to the coefficients c_i of the plane equation:
+    * \f$ c_0*x_0 + ... + c_{d-1}*x_{d-1} + c_d = 0 \f$
+    */
+  EIGEN_DEVICE_FUNC inline Coefficients& coeffs() { return m_coeffs; }
+
+  /** \returns the intersection of *this with \a other.
+    *
+    * \warning The ambient space must be a plane, i.e. have dimension 2, so that \c *this and \a other are lines.
+    *
+    * \note If \a other is approximately parallel to *this, this method will return any point on *this.
+    */
+  EIGEN_DEVICE_FUNC VectorType intersection(const Hyperplane& other) const
+  {
+    EIGEN_STATIC_ASSERT_VECTOR_SPECIFIC_SIZE(VectorType, 2)
+    Scalar det = coeffs().coeff(0) * other.coeffs().coeff(1) - coeffs().coeff(1) * other.coeffs().coeff(0);
+    // since the line equations ax+by=c are normalized with a^2+b^2=1, the following tests
+    // whether the two lines are approximately parallel.
+    if(internal::isMuchSmallerThan(det, Scalar(1)))
+    {   // special case where the two lines are approximately parallel. Pick any point on the first line.
+        if(numext::abs(coeffs().coeff(1))>numext::abs(coeffs().coeff(0)))
+            return VectorType(coeffs().coeff(1), -coeffs().coeff(2)/coeffs().coeff(1)-coeffs().coeff(0));
+        else
+            return VectorType(-coeffs().coeff(2)/coeffs().coeff(0)-coeffs().coeff(1), coeffs().coeff(0));
+    }
+    else
+    {   // general case
+        Scalar invdet = Scalar(1) / det;
+        return VectorType(invdet*(coeffs().coeff(1)*other.coeffs().coeff(2)-other.coeffs().coeff(1)*coeffs().coeff(2)),
+                          invdet*(other.coeffs().coeff(0)*coeffs().coeff(2)-coeffs().coeff(0)*other.coeffs().coeff(2)));
+    }
+  }
+
+  /** Applies the transformation matrix \a mat to \c *this and returns a reference to \c *this.
+    *
+    * \param mat the Dim x Dim transformation matrix
+    * \param traits specifies whether the matrix \a mat represents an #Isometry
+    *               or a more generic #Affine transformation. The default is #Affine.
+    */
+  template<typename XprType>
+  EIGEN_DEVICE_FUNC inline Hyperplane& transform(const MatrixBase<XprType>& mat, TransformTraits traits = Affine)
+  {
+    if (traits==Affine)
+    {
+      normal() = mat.inverse().transpose() * normal();
+      m_coeffs /= normal().norm();
+    }
+    else if (traits==Isometry)
+      normal() = mat * normal();
+    else
+    {
+      eigen_assert(0 && "invalid traits value in Hyperplane::transform()");
+    }
+    return *this;
+  }
+
+  /** Applies the transformation \a t to \c *this and returns a reference to \c *this.
+    *
+    * \param t the transformation of dimension Dim
+    * \param traits specifies whether the transformation \a t represents an #Isometry
+    *               or a more generic #Affine transformation. The default is #Affine.
+    *               Other kind of transformations are not supported.
+    */
+  template<int TrOptions>
+  EIGEN_DEVICE_FUNC inline Hyperplane& transform(const Transform<Scalar,AmbientDimAtCompileTime,Affine,TrOptions>& t,
+                                TransformTraits traits = Affine)
+  {
+    transform(t.linear(), traits);
+    offset() -= normal().dot(t.translation());
+    return *this;
+  }
+
+  /** \returns \c *this with scalar type casted to \a NewScalarType
+    *
+    * Note that if \a NewScalarType is equal to the current scalar type of \c *this
+    * then this function smartly returns a const reference to \c *this.
+    */
+  template<typename NewScalarType>
+  EIGEN_DEVICE_FUNC inline typename internal::cast_return_type<Hyperplane,
+           Hyperplane<NewScalarType,AmbientDimAtCompileTime,Options> >::type cast() const
+  {
+    return typename internal::cast_return_type<Hyperplane,
+                    Hyperplane<NewScalarType,AmbientDimAtCompileTime,Options> >::type(*this);
+  }
+
+  /** Copy constructor with scalar type conversion */
+  template<typename OtherScalarType,int OtherOptions>
+  EIGEN_DEVICE_FUNC inline explicit Hyperplane(const Hyperplane<OtherScalarType,AmbientDimAtCompileTime,OtherOptions>& other)
+  { m_coeffs = other.coeffs().template cast<Scalar>(); }
+
+  /** \returns \c true if \c *this is approximately equal to \a other, within the precision
+    * determined by \a prec.
+    *
+    * \sa MatrixBase::isApprox() */
+  template<int OtherOptions>
+  EIGEN_DEVICE_FUNC bool isApprox(const Hyperplane<Scalar,AmbientDimAtCompileTime,OtherOptions>& other, const typename NumTraits<Scalar>::Real& prec = NumTraits<Scalar>::dummy_precision()) const
+  { return m_coeffs.isApprox(other.m_coeffs, prec); }
+
+protected:
+
+  Coefficients m_coeffs;
+};
+
+} // end namespace Eigen
+
+#endif // EIGEN_HYPERPLANE_H
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SSE.h
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SSE.h	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SSE.h	(revision 3761)
@@ -0,0 +1,161 @@
+// This file is part of Eigen, a lightweight C++ template library
+// for linear algebra.
+//
+// Copyright (C) 2009 Rohit Garg <rpg.314@gmail.com>
+// Copyright (C) 2009-2010 Gael Guennebaud <gael.guennebaud@inria.fr>
+//
+// This Source Code Form is subject to the terms of the Mozilla
+// Public License v. 2.0. If a copy of the MPL was not distributed
+// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
+
+#ifndef EIGEN_GEOMETRY_SSE_H
+#define EIGEN_GEOMETRY_SSE_H
+
+namespace Eigen { 
+
+namespace internal {
+
+template<class Derived, class OtherDerived>
+struct quat_product<Architecture::SSE, Derived, OtherDerived, float>
+{
+  enum {
+    AAlignment = traits<Derived>::Alignment,
+    BAlignment = traits<OtherDerived>::Alignment,
+    ResAlignment = traits<Quaternion<float> >::Alignment
+  };
+  static inline Quaternion<float> run(const QuaternionBase<Derived>& _a, const QuaternionBase<OtherDerived>& _b)
+  {
+    Quaternion<float> res;
+    const __m128 mask = _mm_setr_ps(0.f,0.f,0.f,-0.f);
+    __m128 a = _a.coeffs().template packet<AAlignment>(0);
+    __m128 b = _b.coeffs().template packet<BAlignment>(0);
+    __m128 s1 = _mm_mul_ps(vec4f_swizzle1(a,1,2,0,2),vec4f_swizzle1(b,2,0,1,2));
+    __m128 s2 = _mm_mul_ps(vec4f_swizzle1(a,3,3,3,1),vec4f_swizzle1(b,0,1,2,1));
+    pstoret<float,Packet4f,ResAlignment>(
+              &res.x(),
+              _mm_add_ps(_mm_sub_ps(_mm_mul_ps(a,vec4f_swizzle1(b,3,3,3,3)),
+                                    _mm_mul_ps(vec4f_swizzle1(a,2,0,1,0),
+                                               vec4f_swizzle1(b,1,2,0,0))),
+                         _mm_xor_ps(mask,_mm_add_ps(s1,s2))));
+    
+    return res;
+  }
+};
+
+template<class Derived>
+struct quat_conj<Architecture::SSE, Derived, float>
+{
+  enum {
+    ResAlignment = traits<Quaternion<float> >::Alignment
+  };
+  static inline Quaternion<float> run(const QuaternionBase<Derived>& q)
+  {
+    Quaternion<float> res;
+    const __m128 mask = _mm_setr_ps(-0.f,-0.f,-0.f,0.f);
+    pstoret<float,Packet4f,ResAlignment>(&res.x(), _mm_xor_ps(mask, q.coeffs().template packet<traits<Derived>::Alignment>(0)));
+    return res;
+  }
+};
+
+
+template<typename VectorLhs,typename VectorRhs>
+struct cross3_impl<Architecture::SSE,VectorLhs,VectorRhs,float,true>
+{
+  enum {
+    ResAlignment = traits<typename plain_matrix_type<VectorLhs>::type>::Alignment
+  };
+  static inline typename plain_matrix_type<VectorLhs>::type
+  run(const VectorLhs& lhs, const VectorRhs& rhs)
+  {
+    __m128 a = lhs.template packet<traits<VectorLhs>::Alignment>(0);
+    __m128 b = rhs.template packet<traits<VectorRhs>::Alignment>(0);
+    __m128 mul1=_mm_mul_ps(vec4f_swizzle1(a,1,2,0,3),vec4f_swizzle1(b,2,0,1,3));
+    __m128 mul2=_mm_mul_ps(vec4f_swizzle1(a,2,0,1,3),vec4f_swizzle1(b,1,2,0,3));
+    typename plain_matrix_type<VectorLhs>::type res;
+    pstoret<float,Packet4f,ResAlignment>(&res.x(),_mm_sub_ps(mul1,mul2));
+    return res;
+  }
+};
+
+
+
+
+template<class Derived, class OtherDerived>
+struct quat_product<Architecture::SSE, Derived, OtherDerived, double>
+{
+  enum {
+    BAlignment = traits<OtherDerived>::Alignment,
+    ResAlignment = traits<Quaternion<double> >::Alignment
+  };
+
+  static inline Quaternion<double> run(const QuaternionBase<Derived>& _a, const QuaternionBase<OtherDerived>& _b)
+  {
+  const Packet2d mask = _mm_castsi128_pd(_mm_set_epi32(0x0,0x0,0x80000000,0x0));
+
+  Quaternion<double> res;
+
+  const double* a = _a.coeffs().data();
+  Packet2d b_xy = _b.coeffs().template packet<BAlignment>(0);
+  Packet2d b_zw = _b.coeffs().template packet<BAlignment>(2);
+  Packet2d a_xx = pset1<Packet2d>(a[0]);
+  Packet2d a_yy = pset1<Packet2d>(a[1]);
+  Packet2d a_zz = pset1<Packet2d>(a[2]);
+  Packet2d a_ww = pset1<Packet2d>(a[3]);
+
+  // two temporaries:
+  Packet2d t1, t2;
+
+  /*
+   * t1 = ww*xy + yy*zw
+   * t2 = zz*xy - xx*zw
+   * res.xy = t1 +/- swap(t2)
+   */
+  t1 = padd(pmul(a_ww, b_xy), pmul(a_yy, b_zw));
+  t2 = psub(pmul(a_zz, b_xy), pmul(a_xx, b_zw));
+#ifdef EIGEN_VECTORIZE_SSE3
+  EIGEN_UNUSED_VARIABLE(mask)
+  pstoret<double,Packet2d,ResAlignment>(&res.x(), _mm_addsub_pd(t1, preverse(t2)));
+#else
+  pstoret<double,Packet2d,ResAlignment>(&res.x(), padd(t1, pxor(mask,preverse(t2))));
+#endif
+  
+  /*
+   * t1 = ww*zw - yy*xy
+   * t2 = zz*zw + xx*xy
+   * res.zw = t1 -/+ swap(t2) = swap( swap(t1) +/- t2)
+   */
+  t1 = psub(pmul(a_ww, b_zw), pmul(a_yy, b_xy));
+  t2 = padd(pmul(a_zz, b_zw), pmul(a_xx, b_xy));
+#ifdef EIGEN_VECTORIZE_SSE3
+  EIGEN_UNUSED_VARIABLE(mask)
+  pstoret<double,Packet2d,ResAlignment>(&res.z(), preverse(_mm_addsub_pd(preverse(t1), t2)));
+#else
+  pstoret<double,Packet2d,ResAlignment>(&res.z(), psub(t1, pxor(mask,preverse(t2))));
+#endif
+
+  return res;
+}
+};
+
+template<class Derived>
+struct quat_conj<Architecture::SSE, Derived, double>
+{
+  enum {
+    ResAlignment = traits<Quaternion<double> >::Alignment
+  };
+  static inline Quaternion<double> run(const QuaternionBase<Derived>& q)
+  {
+    Quaternion<double> res;
+    const __m128d mask0 = _mm_setr_pd(-0.,-0.);
+    const __m128d mask2 = _mm_setr_pd(-0.,0.);
+    pstoret<double,Packet2d,ResAlignment>(&res.x(), _mm_xor_pd(mask0, q.coeffs().template packet<traits<Derived>::Alignment>(0)));
+    pstoret<double,Packet2d,ResAlignment>(&res.z(), _mm_xor_pd(mask2, q.coeffs().template packet<traits<Derived>::Alignment>(2)));
+    return res;
+  }
+};
+
+} // end namespace internal
+
+} // end namespace Eigen
+
+#endif // EIGEN_GEOMETRY_SSE_H
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Geometry/Homogeneous.h
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Geometry/Homogeneous.h	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Geometry/Homogeneous.h	(revision 3761)
@@ -0,0 +1,497 @@
+// This file is part of Eigen, a lightweight C++ template library
+// for linear algebra.
+//
+// Copyright (C) 2009-2010 Gael Guennebaud <gael.guennebaud@inria.fr>
+//
+// This Source Code Form is subject to the terms of the Mozilla
+// Public License v. 2.0. If a copy of the MPL was not distributed
+// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
+
+#ifndef EIGEN_HOMOGENEOUS_H
+#define EIGEN_HOMOGENEOUS_H
+
+namespace Eigen { 
+
+/** \geometry_module \ingroup Geometry_Module
+  *
+  * \class Homogeneous
+  *
+  * \brief Expression of one (or a set of) homogeneous vector(s)
+  *
+  * \param MatrixType the type of the object in which we are making homogeneous
+  *
+  * This class represents an expression of one (or a set of) homogeneous vector(s).
+  * It is the return type of MatrixBase::homogeneous() and most of the time
+  * this is the only way it is used.
+  *
+  * \sa MatrixBase::homogeneous()
+  */
+
+namespace internal {
+
+template<typename MatrixType,int Direction>
+struct traits<Homogeneous<MatrixType,Direction> >
+ : traits<MatrixType>
+{
+  typedef typename traits<MatrixType>::StorageKind StorageKind;
+  typedef typename ref_selector<MatrixType>::type MatrixTypeNested;
+  typedef typename remove_reference<MatrixTypeNested>::type _MatrixTypeNested;
+  enum {
+    RowsPlusOne = (MatrixType::RowsAtCompileTime != Dynamic) ?
+                  int(MatrixType::RowsAtCompileTime) + 1 : Dynamic,
+    ColsPlusOne = (MatrixType::ColsAtCompileTime != Dynamic) ?
+                  int(MatrixType::ColsAtCompileTime) + 1 : Dynamic,
+    RowsAtCompileTime = Direction==Vertical  ?  RowsPlusOne : MatrixType::RowsAtCompileTime,
+    ColsAtCompileTime = Direction==Horizontal ? ColsPlusOne : MatrixType::ColsAtCompileTime,
+    MaxRowsAtCompileTime = RowsAtCompileTime,
+    MaxColsAtCompileTime = ColsAtCompileTime,
+    TmpFlags = _MatrixTypeNested::Flags & HereditaryBits,
+    Flags = ColsAtCompileTime==1 ? (TmpFlags & ~RowMajorBit)
+          : RowsAtCompileTime==1 ? (TmpFlags | RowMajorBit)
+          : TmpFlags
+  };
+};
+
+template<typename MatrixType,typename Lhs> struct homogeneous_left_product_impl;
+template<typename MatrixType,typename Rhs> struct homogeneous_right_product_impl;
+
+} // end namespace internal
+
+template<typename MatrixType,int _Direction> class Homogeneous
+  : public MatrixBase<Homogeneous<MatrixType,_Direction> >, internal::no_assignment_operator
+{
+  public:
+
+    typedef MatrixType NestedExpression;
+    enum { Direction = _Direction };
+
+    typedef MatrixBase<Homogeneous> Base;
+    EIGEN_DENSE_PUBLIC_INTERFACE(Homogeneous)
+
+    EIGEN_DEVICE_FUNC explicit inline Homogeneous(const MatrixType& matrix)
+      : m_matrix(matrix)
+    {}
+
+    EIGEN_DEVICE_FUNC inline Index rows() const { return m_matrix.rows() + (int(Direction)==Vertical   ? 1 : 0); }
+    EIGEN_DEVICE_FUNC inline Index cols() const { return m_matrix.cols() + (int(Direction)==Horizontal ? 1 : 0); }
+    
+    EIGEN_DEVICE_FUNC const NestedExpression& nestedExpression() const { return m_matrix; }
+
+    template<typename Rhs>
+    EIGEN_DEVICE_FUNC inline const Product<Homogeneous,Rhs>
+    operator* (const MatrixBase<Rhs>& rhs) const
+    {
+      eigen_assert(int(Direction)==Horizontal);
+      return Product<Homogeneous,Rhs>(*this,rhs.derived());
+    }
+
+    template<typename Lhs> friend
+    EIGEN_DEVICE_FUNC inline const Product<Lhs,Homogeneous>
+    operator* (const MatrixBase<Lhs>& lhs, const Homogeneous& rhs)
+    {
+      eigen_assert(int(Direction)==Vertical);
+      return Product<Lhs,Homogeneous>(lhs.derived(),rhs);
+    }
+
+    template<typename Scalar, int Dim, int Mode, int Options> friend
+    EIGEN_DEVICE_FUNC inline const Product<Transform<Scalar,Dim,Mode,Options>, Homogeneous >
+    operator* (const Transform<Scalar,Dim,Mode,Options>& lhs, const Homogeneous& rhs)
+    {
+      eigen_assert(int(Direction)==Vertical);
+      return Product<Transform<Scalar,Dim,Mode,Options>, Homogeneous>(lhs,rhs);
+    }
+
+    template<typename Func>
+    EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE typename internal::result_of<Func(Scalar,Scalar)>::type
+    redux(const Func& func) const
+    {
+      return func(m_matrix.redux(func), Scalar(1));
+    }
+
+  protected:
+    typename MatrixType::Nested m_matrix;
+};
+
+/** \geometry_module \ingroup Geometry_Module
+  *
+  * \returns a vector expression that is one longer than the vector argument, with the value 1 symbolically appended as the last coefficient.
+  *
+  * This can be used to convert affine coordinates to homogeneous coordinates.
+  *
+  * \only_for_vectors
+  *
+  * Example: \include MatrixBase_homogeneous.cpp
+  * Output: \verbinclude MatrixBase_homogeneous.out
+  *
+  * \sa VectorwiseOp::homogeneous(), class Homogeneous
+  */
+template<typename Derived>
+EIGEN_DEVICE_FUNC inline typename MatrixBase<Derived>::HomogeneousReturnType
+MatrixBase<Derived>::homogeneous() const
+{
+  EIGEN_STATIC_ASSERT_VECTOR_ONLY(Derived);
+  return HomogeneousReturnType(derived());
+}
+
+/** \geometry_module \ingroup Geometry_Module
+  *
+  * \returns an expression where the value 1 is symbolically appended as the final coefficient to each column (or row) of the matrix.
+  *
+  * This can be used to convert affine coordinates to homogeneous coordinates.
+  *
+  * Example: \include VectorwiseOp_homogeneous.cpp
+  * Output: \verbinclude VectorwiseOp_homogeneous.out
+  *
+  * \sa MatrixBase::homogeneous(), class Homogeneous */
+template<typename ExpressionType, int Direction>
+EIGEN_DEVICE_FUNC inline Homogeneous<ExpressionType,Direction>
+VectorwiseOp<ExpressionType,Direction>::homogeneous() const
+{
+  return HomogeneousReturnType(_expression());
+}
+
+/** \geometry_module \ingroup Geometry_Module
+  *
+  * \brief homogeneous normalization
+  *
+  * \returns a vector expression of the N-1 first coefficients of \c *this divided by that last coefficient.
+  *
+  * This can be used to convert homogeneous coordinates to affine coordinates.
+  *
+  * It is essentially a shortcut for:
+  * \code
+    this->head(this->size()-1)/this->coeff(this->size()-1);
+    \endcode
+  *
+  * Example: \include MatrixBase_hnormalized.cpp
+  * Output: \verbinclude MatrixBase_hnormalized.out
+  *
+  * \sa VectorwiseOp::hnormalized() */
+template<typename Derived>
+EIGEN_DEVICE_FUNC inline const typename MatrixBase<Derived>::HNormalizedReturnType
+MatrixBase<Derived>::hnormalized() const
+{
+  EIGEN_STATIC_ASSERT_VECTOR_ONLY(Derived);
+  return ConstStartMinusOne(derived(),0,0,
+    ColsAtCompileTime==1?size()-1:1,
+    ColsAtCompileTime==1?1:size()-1) / coeff(size()-1);
+}
+
+/** \geometry_module \ingroup Geometry_Module
+  *
+  * \brief column or row-wise homogeneous normalization
+  *
+  * \returns an expression of the first N-1 coefficients of each column (or row) of \c *this divided by the last coefficient of each column (or row).
+  *
+  * This can be used to convert homogeneous coordinates to affine coordinates.
+  *
+  * It is conceptually equivalent to calling MatrixBase::hnormalized() to each column (or row) of \c *this.
+  *
+  * Example: \include DirectionWise_hnormalized.cpp
+  * Output: \verbinclude DirectionWise_hnormalized.out
+  *
+  * \sa MatrixBase::hnormalized() */
+template<typename ExpressionType, int Direction>
+EIGEN_DEVICE_FUNC inline const typename VectorwiseOp<ExpressionType,Direction>::HNormalizedReturnType
+VectorwiseOp<ExpressionType,Direction>::hnormalized() const
+{
+  return HNormalized_Block(_expression(),0,0,
+      Direction==Vertical   ? _expression().rows()-1 : _expression().rows(),
+      Direction==Horizontal ? _expression().cols()-1 : _expression().cols()).cwiseQuotient(
+      Replicate<HNormalized_Factors,
+                Direction==Vertical   ? HNormalized_SizeMinusOne : 1,
+                Direction==Horizontal ? HNormalized_SizeMinusOne : 1>
+        (HNormalized_Factors(_expression(),
+          Direction==Vertical    ? _expression().rows()-1:0,
+          Direction==Horizontal  ? _expression().cols()-1:0,
+          Direction==Vertical    ? 1 : _expression().rows(),
+          Direction==Horizontal  ? 1 : _expression().cols()),
+         Direction==Vertical   ? _expression().rows()-1 : 1,
+         Direction==Horizontal ? _expression().cols()-1 : 1));
+}
+
+namespace internal {
+
+template<typename MatrixOrTransformType>
+struct take_matrix_for_product
+{
+  typedef MatrixOrTransformType type;
+  EIGEN_DEVICE_FUNC static const type& run(const type &x) { return x; }
+};
+
+template<typename Scalar, int Dim, int Mode,int Options>
+struct take_matrix_for_product<Transform<Scalar, Dim, Mode, Options> >
+{
+  typedef Transform<Scalar, Dim, Mode, Options> TransformType;
+  typedef typename internal::add_const<typename TransformType::ConstAffinePart>::type type;
+  EIGEN_DEVICE_FUNC static type run (const TransformType& x) { return x.affine(); }
+};
+
+template<typename Scalar, int Dim, int Options>
+struct take_matrix_for_product<Transform<Scalar, Dim, Projective, Options> >
+{
+  typedef Transform<Scalar, Dim, Projective, Options> TransformType;
+  typedef typename TransformType::MatrixType type;
+  EIGEN_DEVICE_FUNC static const type& run (const TransformType& x) { return x.matrix(); }
+};
+
+template<typename MatrixType,typename Lhs>
+struct traits<homogeneous_left_product_impl<Homogeneous<MatrixType,Vertical>,Lhs> >
+{
+  typedef typename take_matrix_for_product<Lhs>::type LhsMatrixType;
+  typedef typename remove_all<MatrixType>::type MatrixTypeCleaned;
+  typedef typename remove_all<LhsMatrixType>::type LhsMatrixTypeCleaned;
+  typedef typename make_proper_matrix_type<
+                 typename traits<MatrixTypeCleaned>::Scalar,
+                 LhsMatrixTypeCleaned::RowsAtCompileTime,
+                 MatrixTypeCleaned::ColsAtCompileTime,
+                 MatrixTypeCleaned::PlainObject::Options,
+                 LhsMatrixTypeCleaned::MaxRowsAtCompileTime,
+                 MatrixTypeCleaned::MaxColsAtCompileTime>::type ReturnType;
+};
+
+template<typename MatrixType,typename Lhs>
+struct homogeneous_left_product_impl<Homogeneous<MatrixType,Vertical>,Lhs>
+  : public ReturnByValue<homogeneous_left_product_impl<Homogeneous<MatrixType,Vertical>,Lhs> >
+{
+  typedef typename traits<homogeneous_left_product_impl>::LhsMatrixType LhsMatrixType;
+  typedef typename remove_all<LhsMatrixType>::type LhsMatrixTypeCleaned;
+  typedef typename remove_all<typename LhsMatrixTypeCleaned::Nested>::type LhsMatrixTypeNested;
+  EIGEN_DEVICE_FUNC homogeneous_left_product_impl(const Lhs& lhs, const MatrixType& rhs)
+    : m_lhs(take_matrix_for_product<Lhs>::run(lhs)),
+      m_rhs(rhs)
+  {}
+
+  EIGEN_DEVICE_FUNC inline Index rows() const { return m_lhs.rows(); }
+  EIGEN_DEVICE_FUNC inline Index cols() const { return m_rhs.cols(); }
+
+  template<typename Dest> EIGEN_DEVICE_FUNC void evalTo(Dest& dst) const
+  {
+    // FIXME investigate how to allow lazy evaluation of this product when possible
+    dst = Block<const LhsMatrixTypeNested,
+              LhsMatrixTypeNested::RowsAtCompileTime,
+              LhsMatrixTypeNested::ColsAtCompileTime==Dynamic?Dynamic:LhsMatrixTypeNested::ColsAtCompileTime-1>
+            (m_lhs,0,0,m_lhs.rows(),m_lhs.cols()-1) * m_rhs;
+    dst += m_lhs.col(m_lhs.cols()-1).rowwise()
+            .template replicate<MatrixType::ColsAtCompileTime>(m_rhs.cols());
+  }
+
+  typename LhsMatrixTypeCleaned::Nested m_lhs;
+  typename MatrixType::Nested m_rhs;
+};
+
+template<typename MatrixType,typename Rhs>
+struct traits<homogeneous_right_product_impl<Homogeneous<MatrixType,Horizontal>,Rhs> >
+{
+  typedef typename make_proper_matrix_type<typename traits<MatrixType>::Scalar,
+                 MatrixType::RowsAtCompileTime,
+                 Rhs::ColsAtCompileTime,
+                 MatrixType::PlainObject::Options,
+                 MatrixType::MaxRowsAtCompileTime,
+                 Rhs::MaxColsAtCompileTime>::type ReturnType;
+};
+
+template<typename MatrixType,typename Rhs>
+struct homogeneous_right_product_impl<Homogeneous<MatrixType,Horizontal>,Rhs>
+  : public ReturnByValue<homogeneous_right_product_impl<Homogeneous<MatrixType,Horizontal>,Rhs> >
+{
+  typedef typename remove_all<typename Rhs::Nested>::type RhsNested;
+  EIGEN_DEVICE_FUNC homogeneous_right_product_impl(const MatrixType& lhs, const Rhs& rhs)
+    : m_lhs(lhs), m_rhs(rhs)
+  {}
+
+  EIGEN_DEVICE_FUNC inline Index rows() const { return m_lhs.rows(); }
+  EIGEN_DEVICE_FUNC inline Index cols() const { return m_rhs.cols(); }
+
+  template<typename Dest> EIGEN_DEVICE_FUNC void evalTo(Dest& dst) const
+  {
+    // FIXME investigate how to allow lazy evaluation of this product when possible
+    dst = m_lhs * Block<const RhsNested,
+                        RhsNested::RowsAtCompileTime==Dynamic?Dynamic:RhsNested::RowsAtCompileTime-1,
+                        RhsNested::ColsAtCompileTime>
+            (m_rhs,0,0,m_rhs.rows()-1,m_rhs.cols());
+    dst += m_rhs.row(m_rhs.rows()-1).colwise()
+            .template replicate<MatrixType::RowsAtCompileTime>(m_lhs.rows());
+  }
+
+  typename MatrixType::Nested m_lhs;
+  typename Rhs::Nested m_rhs;
+};
+
+template<typename ArgType,int Direction>
+struct evaluator_traits<Homogeneous<ArgType,Direction> >
+{
+  typedef typename storage_kind_to_evaluator_kind<typename ArgType::StorageKind>::Kind Kind;
+  typedef HomogeneousShape Shape;  
+};
+
+template<> struct AssignmentKind<DenseShape,HomogeneousShape> { typedef Dense2Dense Kind; };
+
+
+template<typename ArgType,int Direction>
+struct unary_evaluator<Homogeneous<ArgType,Direction>, IndexBased>
+  : evaluator<typename Homogeneous<ArgType,Direction>::PlainObject >
+{
+  typedef Homogeneous<ArgType,Direction> XprType;
+  typedef typename XprType::PlainObject PlainObject;
+  typedef evaluator<PlainObject> Base;
+
+  EIGEN_DEVICE_FUNC explicit unary_evaluator(const XprType& op)
+    : Base(), m_temp(op)
+  {
+    ::new (static_cast<Base*>(this)) Base(m_temp);
+  }
+
+protected:
+  PlainObject m_temp;
+};
+
+// dense = homogeneous
+template< typename DstXprType, typename ArgType, typename Scalar>
+struct Assignment<DstXprType, Homogeneous<ArgType,Vertical>, internal::assign_op<Scalar,typename ArgType::Scalar>, Dense2Dense>
+{
+  typedef Homogeneous<ArgType,Vertical> SrcXprType;
+  EIGEN_DEVICE_FUNC static void run(DstXprType &dst, const SrcXprType &src, const internal::assign_op<Scalar,typename ArgType::Scalar> &)
+  {
+    Index dstRows = src.rows();
+    Index dstCols = src.cols();
+    if((dst.rows()!=dstRows) || (dst.cols()!=dstCols))
+      dst.resize(dstRows, dstCols);
+
+    dst.template topRows<ArgType::RowsAtCompileTime>(src.nestedExpression().rows()) = src.nestedExpression();
+    dst.row(dst.rows()-1).setOnes();
+  }
+};
+
+// dense = homogeneous
+template< typename DstXprType, typename ArgType, typename Scalar>
+struct Assignment<DstXprType, Homogeneous<ArgType,Horizontal>, internal::assign_op<Scalar,typename ArgType::Scalar>, Dense2Dense>
+{
+  typedef Homogeneous<ArgType,Horizontal> SrcXprType;
+  EIGEN_DEVICE_FUNC static void run(DstXprType &dst, const SrcXprType &src, const internal::assign_op<Scalar,typename ArgType::Scalar> &)
+  {
+    Index dstRows = src.rows();
+    Index dstCols = src.cols();
+    if((dst.rows()!=dstRows) || (dst.cols()!=dstCols))
+      dst.resize(dstRows, dstCols);
+
+    dst.template leftCols<ArgType::ColsAtCompileTime>(src.nestedExpression().cols()) = src.nestedExpression();
+    dst.col(dst.cols()-1).setOnes();
+  }
+};
+
+template<typename LhsArg, typename Rhs, int ProductTag>
+struct generic_product_impl<Homogeneous<LhsArg,Horizontal>, Rhs, HomogeneousShape, DenseShape, ProductTag>
+{
+  template<typename Dest>
+  EIGEN_DEVICE_FUNC static void evalTo(Dest& dst, const Homogeneous<LhsArg,Horizontal>& lhs, const Rhs& rhs)
+  {
+    homogeneous_right_product_impl<Homogeneous<LhsArg,Horizontal>, Rhs>(lhs.nestedExpression(), rhs).evalTo(dst);
+  }
+};
+
+template<typename Lhs,typename Rhs>
+struct homogeneous_right_product_refactoring_helper
+{
+  enum {
+    Dim  = Lhs::ColsAtCompileTime,
+    Rows = Lhs::RowsAtCompileTime
+  };
+  typedef typename Rhs::template ConstNRowsBlockXpr<Dim>::Type          LinearBlockConst;
+  typedef typename remove_const<LinearBlockConst>::type                 LinearBlock;
+  typedef typename Rhs::ConstRowXpr                                     ConstantColumn;
+  typedef Replicate<const ConstantColumn,Rows,1>                        ConstantBlock;
+  typedef Product<Lhs,LinearBlock,LazyProduct>                          LinearProduct;
+  typedef CwiseBinaryOp<internal::scalar_sum_op<typename Lhs::Scalar,typename Rhs::Scalar>, const LinearProduct, const ConstantBlock> Xpr;
+};
+
+template<typename Lhs, typename Rhs, int ProductTag>
+struct product_evaluator<Product<Lhs, Rhs, LazyProduct>, ProductTag, HomogeneousShape, DenseShape>
+ : public evaluator<typename homogeneous_right_product_refactoring_helper<typename Lhs::NestedExpression,Rhs>::Xpr>
+{
+  typedef Product<Lhs, Rhs, LazyProduct> XprType;
+  typedef homogeneous_right_product_refactoring_helper<typename Lhs::NestedExpression,Rhs> helper;
+  typedef typename helper::ConstantBlock ConstantBlock;
+  typedef typename helper::Xpr RefactoredXpr;
+  typedef evaluator<RefactoredXpr> Base;
+  
+  EIGEN_DEVICE_FUNC explicit product_evaluator(const XprType& xpr)
+    : Base(  xpr.lhs().nestedExpression() .lazyProduct(  xpr.rhs().template topRows<helper::Dim>(xpr.lhs().nestedExpression().cols()) )
+            + ConstantBlock(xpr.rhs().row(xpr.rhs().rows()-1),xpr.lhs().rows(), 1) )
+  {}
+};
+
+template<typename Lhs, typename RhsArg, int ProductTag>
+struct generic_product_impl<Lhs, Homogeneous<RhsArg,Vertical>, DenseShape, HomogeneousShape, ProductTag>
+{
+  template<typename Dest>
+  EIGEN_DEVICE_FUNC static void evalTo(Dest& dst, const Lhs& lhs, const Homogeneous<RhsArg,Vertical>& rhs)
+  {
+    homogeneous_left_product_impl<Homogeneous<RhsArg,Vertical>, Lhs>(lhs, rhs.nestedExpression()).evalTo(dst);
+  }
+};
+
+// TODO: the following specialization is to address a regression from 3.2 to 3.3
+// In the future, this path should be optimized.
+template<typename Lhs, typename RhsArg, int ProductTag>
+struct generic_product_impl<Lhs, Homogeneous<RhsArg,Vertical>, TriangularShape, HomogeneousShape, ProductTag>
+{
+  template<typename Dest>
+  static void evalTo(Dest& dst, const Lhs& lhs, const Homogeneous<RhsArg,Vertical>& rhs)
+  {
+    dst.noalias() = lhs * rhs.eval();
+  }
+};
+
+template<typename Lhs,typename Rhs>
+struct homogeneous_left_product_refactoring_helper
+{
+  enum {
+    Dim = Rhs::RowsAtCompileTime,
+    Cols = Rhs::ColsAtCompileTime
+  };
+  typedef typename Lhs::template ConstNColsBlockXpr<Dim>::Type          LinearBlockConst;
+  typedef typename remove_const<LinearBlockConst>::type                 LinearBlock;
+  typedef typename Lhs::ConstColXpr                                     ConstantColumn;
+  typedef Replicate<const ConstantColumn,1,Cols>                        ConstantBlock;
+  typedef Product<LinearBlock,Rhs,LazyProduct>                          LinearProduct;
+  typedef CwiseBinaryOp<internal::scalar_sum_op<typename Lhs::Scalar,typename Rhs::Scalar>, const LinearProduct, const ConstantBlock> Xpr;
+};
+
+template<typename Lhs, typename Rhs, int ProductTag>
+struct product_evaluator<Product<Lhs, Rhs, LazyProduct>, ProductTag, DenseShape, HomogeneousShape>
+ : public evaluator<typename homogeneous_left_product_refactoring_helper<Lhs,typename Rhs::NestedExpression>::Xpr>
+{
+  typedef Product<Lhs, Rhs, LazyProduct> XprType;
+  typedef homogeneous_left_product_refactoring_helper<Lhs,typename Rhs::NestedExpression> helper;
+  typedef typename helper::ConstantBlock ConstantBlock;
+  typedef typename helper::Xpr RefactoredXpr;
+  typedef evaluator<RefactoredXpr> Base;
+  
+  EIGEN_DEVICE_FUNC explicit product_evaluator(const XprType& xpr)
+    : Base(   xpr.lhs().template leftCols<helper::Dim>(xpr.rhs().nestedExpression().rows()) .lazyProduct( xpr.rhs().nestedExpression() )
+            + ConstantBlock(xpr.lhs().col(xpr.lhs().cols()-1),1,xpr.rhs().cols()) )
+  {}
+};
+
+template<typename Scalar, int Dim, int Mode,int Options, typename RhsArg, int ProductTag>
+struct generic_product_impl<Transform<Scalar,Dim,Mode,Options>, Homogeneous<RhsArg,Vertical>, DenseShape, HomogeneousShape, ProductTag>
+{
+  typedef Transform<Scalar,Dim,Mode,Options> TransformType;
+  template<typename Dest>
+  EIGEN_DEVICE_FUNC static void evalTo(Dest& dst, const TransformType& lhs, const Homogeneous<RhsArg,Vertical>& rhs)
+  {
+    homogeneous_left_product_impl<Homogeneous<RhsArg,Vertical>, TransformType>(lhs, rhs.nestedExpression()).evalTo(dst);
+  }
+};
+
+template<typename ExpressionType, int Side, bool Transposed>
+struct permutation_matrix_product<ExpressionType, Side, Transposed, HomogeneousShape>
+  : public permutation_matrix_product<ExpressionType, Side, Transposed, DenseShape>
+{};
+
+} // end namespace internal
+
+} // end namespace Eigen
+
+#endif // EIGEN_HOMOGENEOUS_H
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Geometry/RotationBase.h
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Geometry/RotationBase.h	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Geometry/RotationBase.h	(revision 3761)
@@ -0,0 +1,206 @@
+// This file is part of Eigen, a lightweight C++ template library
+// for linear algebra.
+//
+// Copyright (C) 2008 Gael Guennebaud <gael.guennebaud@inria.fr>
+//
+// This Source Code Form is subject to the terms of the Mozilla
+// Public License v. 2.0. If a copy of the MPL was not distributed
+// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
+
+#ifndef EIGEN_ROTATIONBASE_H
+#define EIGEN_ROTATIONBASE_H
+
+namespace Eigen { 
+
+// forward declaration
+namespace internal {
+template<typename RotationDerived, typename MatrixType, bool IsVector=MatrixType::IsVectorAtCompileTime>
+struct rotation_base_generic_product_selector;
+}
+
+/** \class RotationBase
+  *
+  * \brief Common base class for compact rotation representations
+  *
+  * \tparam Derived is the derived type, i.e., a rotation type
+  * \tparam _Dim the dimension of the space
+  */
+template<typename Derived, int _Dim>
+class RotationBase
+{
+  public:
+    enum { Dim = _Dim };
+    /** the scalar type of the coefficients */
+    typedef typename internal::traits<Derived>::Scalar Scalar;
+
+    /** corresponding linear transformation matrix type */
+    typedef Matrix<Scalar,Dim,Dim> RotationMatrixType;
+    typedef Matrix<Scalar,Dim,1> VectorType;
+
+  public:
+    EIGEN_DEVICE_FUNC inline const Derived& derived() const { return *static_cast<const Derived*>(this); }
+    EIGEN_DEVICE_FUNC inline Derived& derived() { return *static_cast<Derived*>(this); }
+
+    /** \returns an equivalent rotation matrix */
+    EIGEN_DEVICE_FUNC inline RotationMatrixType toRotationMatrix() const { return derived().toRotationMatrix(); }
+
+    /** \returns an equivalent rotation matrix 
+      * This function is added to be conform with the Transform class' naming scheme.
+      */
+    EIGEN_DEVICE_FUNC inline RotationMatrixType matrix() const { return derived().toRotationMatrix(); }
+
+    /** \returns the inverse rotation */
+    EIGEN_DEVICE_FUNC inline Derived inverse() const { return derived().inverse(); }
+
+    /** \returns the concatenation of the rotation \c *this with a translation \a t */
+    EIGEN_DEVICE_FUNC inline Transform<Scalar,Dim,Isometry> operator*(const Translation<Scalar,Dim>& t) const
+    { return Transform<Scalar,Dim,Isometry>(*this) * t; }
+
+    /** \returns the concatenation of the rotation \c *this with a uniform scaling \a s */
+    EIGEN_DEVICE_FUNC inline RotationMatrixType operator*(const UniformScaling<Scalar>& s) const
+    { return toRotationMatrix() * s.factor(); }
+
+    /** \returns the concatenation of the rotation \c *this with a generic expression \a e
+      * \a e can be:
+      *  - a DimxDim linear transformation matrix
+      *  - a DimxDim diagonal matrix (axis aligned scaling)
+      *  - a vector of size Dim
+      */
+    template<typename OtherDerived>
+    EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE typename internal::rotation_base_generic_product_selector<Derived,OtherDerived,OtherDerived::IsVectorAtCompileTime>::ReturnType
+    operator*(const EigenBase<OtherDerived>& e) const
+    { return internal::rotation_base_generic_product_selector<Derived,OtherDerived>::run(derived(), e.derived()); }
+
+    /** \returns the concatenation of a linear transformation \a l with the rotation \a r */
+    template<typename OtherDerived> friend
+    EIGEN_DEVICE_FUNC inline RotationMatrixType operator*(const EigenBase<OtherDerived>& l, const Derived& r)
+    { return l.derived() * r.toRotationMatrix(); }
+
+    /** \returns the concatenation of a scaling \a l with the rotation \a r */
+    EIGEN_DEVICE_FUNC friend inline Transform<Scalar,Dim,Affine> operator*(const DiagonalMatrix<Scalar,Dim>& l, const Derived& r)
+    { 
+      Transform<Scalar,Dim,Affine> res(r);
+      res.linear().applyOnTheLeft(l);
+      return res;
+    }
+
+    /** \returns the concatenation of the rotation \c *this with a transformation \a t */
+    template<int Mode, int Options>
+    EIGEN_DEVICE_FUNC inline Transform<Scalar,Dim,Mode> operator*(const Transform<Scalar,Dim,Mode,Options>& t) const
+    { return toRotationMatrix() * t; }
+
+    template<typename OtherVectorType>
+    EIGEN_DEVICE_FUNC inline VectorType _transformVector(const OtherVectorType& v) const
+    { return toRotationMatrix() * v; }
+};
+
+namespace internal {
+
+// implementation of the generic product rotation * matrix
+template<typename RotationDerived, typename MatrixType>
+struct rotation_base_generic_product_selector<RotationDerived,MatrixType,false>
+{
+  enum { Dim = RotationDerived::Dim };
+  typedef Matrix<typename RotationDerived::Scalar,Dim,Dim> ReturnType;
+  EIGEN_DEVICE_FUNC static inline ReturnType run(const RotationDerived& r, const MatrixType& m)
+  { return r.toRotationMatrix() * m; }
+};
+
+template<typename RotationDerived, typename Scalar, int Dim, int MaxDim>
+struct rotation_base_generic_product_selector< RotationDerived, DiagonalMatrix<Scalar,Dim,MaxDim>, false >
+{
+  typedef Transform<Scalar,Dim,Affine> ReturnType;
+  EIGEN_DEVICE_FUNC static inline ReturnType run(const RotationDerived& r, const DiagonalMatrix<Scalar,Dim,MaxDim>& m)
+  {
+    ReturnType res(r);
+    res.linear() *= m;
+    return res;
+  }
+};
+
+template<typename RotationDerived,typename OtherVectorType>
+struct rotation_base_generic_product_selector<RotationDerived,OtherVectorType,true>
+{
+  enum { Dim = RotationDerived::Dim };
+  typedef Matrix<typename RotationDerived::Scalar,Dim,1> ReturnType;
+  EIGEN_DEVICE_FUNC static EIGEN_STRONG_INLINE ReturnType run(const RotationDerived& r, const OtherVectorType& v)
+  {
+    return r._transformVector(v);
+  }
+};
+
+} // end namespace internal
+
+/** \geometry_module
+  *
+  * \brief Constructs a Dim x Dim rotation matrix from the rotation \a r
+  */
+template<typename _Scalar, int _Rows, int _Cols, int _Storage, int _MaxRows, int _MaxCols>
+template<typename OtherDerived>
+EIGEN_DEVICE_FUNC Matrix<_Scalar, _Rows, _Cols, _Storage, _MaxRows, _MaxCols>
+::Matrix(const RotationBase<OtherDerived,ColsAtCompileTime>& r)
+{
+  EIGEN_STATIC_ASSERT_MATRIX_SPECIFIC_SIZE(Matrix,int(OtherDerived::Dim),int(OtherDerived::Dim))
+  *this = r.toRotationMatrix();
+}
+
+/** \geometry_module
+  *
+  * \brief Set a Dim x Dim rotation matrix from the rotation \a r
+  */
+template<typename _Scalar, int _Rows, int _Cols, int _Storage, int _MaxRows, int _MaxCols>
+template<typename OtherDerived>
+EIGEN_DEVICE_FUNC Matrix<_Scalar, _Rows, _Cols, _Storage, _MaxRows, _MaxCols>&
+Matrix<_Scalar, _Rows, _Cols, _Storage, _MaxRows, _MaxCols>
+::operator=(const RotationBase<OtherDerived,ColsAtCompileTime>& r)
+{
+  EIGEN_STATIC_ASSERT_MATRIX_SPECIFIC_SIZE(Matrix,int(OtherDerived::Dim),int(OtherDerived::Dim))
+  return *this = r.toRotationMatrix();
+}
+
+namespace internal {
+
+/** \internal
+  *
+  * Helper function to return an arbitrary rotation object to a rotation matrix.
+  *
+  * \tparam Scalar the numeric type of the matrix coefficients
+  * \tparam Dim the dimension of the current space
+  *
+  * It returns a Dim x Dim fixed size matrix.
+  *
+  * Default specializations are provided for:
+  *   - any scalar type (2D),
+  *   - any matrix expression,
+  *   - any type based on RotationBase (e.g., Quaternion, AngleAxis, Rotation2D)
+  *
+  * Currently toRotationMatrix is only used by Transform.
+  *
+  * \sa class Transform, class Rotation2D, class Quaternion, class AngleAxis
+  */
+template<typename Scalar, int Dim>
+EIGEN_DEVICE_FUNC static inline Matrix<Scalar,2,2> toRotationMatrix(const Scalar& s)
+{
+  EIGEN_STATIC_ASSERT(Dim==2,YOU_MADE_A_PROGRAMMING_MISTAKE)
+  return Rotation2D<Scalar>(s).toRotationMatrix();
+}
+
+template<typename Scalar, int Dim, typename OtherDerived>
+EIGEN_DEVICE_FUNC static inline Matrix<Scalar,Dim,Dim> toRotationMatrix(const RotationBase<OtherDerived,Dim>& r)
+{
+  return r.toRotationMatrix();
+}
+
+template<typename Scalar, int Dim, typename OtherDerived>
+EIGEN_DEVICE_FUNC static inline const MatrixBase<OtherDerived>& toRotationMatrix(const MatrixBase<OtherDerived>& mat)
+{
+  EIGEN_STATIC_ASSERT(OtherDerived::RowsAtCompileTime==Dim && OtherDerived::ColsAtCompileTime==Dim,
+    YOU_MADE_A_PROGRAMMING_MISTAKE)
+  return mat;
+}
+
+} // end namespace internal
+
+} // end namespace Eigen
+
+#endif // EIGEN_ROTATIONBASE_H
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Geometry/AngleAxis.h
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Geometry/AngleAxis.h	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Geometry/AngleAxis.h	(revision 3761)
@@ -0,0 +1,247 @@
+// This file is part of Eigen, a lightweight C++ template library
+// for linear algebra.
+//
+// Copyright (C) 2008 Gael Guennebaud <gael.guennebaud@inria.fr>
+//
+// This Source Code Form is subject to the terms of the Mozilla
+// Public License v. 2.0. If a copy of the MPL was not distributed
+// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
+
+#ifndef EIGEN_ANGLEAXIS_H
+#define EIGEN_ANGLEAXIS_H
+
+namespace Eigen { 
+
+/** \geometry_module \ingroup Geometry_Module
+  *
+  * \class AngleAxis
+  *
+  * \brief Represents a 3D rotation as a rotation angle around an arbitrary 3D axis
+  *
+  * \param _Scalar the scalar type, i.e., the type of the coefficients.
+  *
+  * \warning When setting up an AngleAxis object, the axis vector \b must \b be \b normalized.
+  *
+  * The following two typedefs are provided for convenience:
+  * \li \c AngleAxisf for \c float
+  * \li \c AngleAxisd for \c double
+  *
+  * Combined with MatrixBase::Unit{X,Y,Z}, AngleAxis can be used to easily
+  * mimic Euler-angles. Here is an example:
+  * \include AngleAxis_mimic_euler.cpp
+  * Output: \verbinclude AngleAxis_mimic_euler.out
+  *
+  * \note This class is not aimed to be used to store a rotation transformation,
+  * but rather to make easier the creation of other rotation (Quaternion, rotation Matrix)
+  * and transformation objects.
+  *
+  * \sa class Quaternion, class Transform, MatrixBase::UnitX()
+  */
+
+namespace internal {
+template<typename _Scalar> struct traits<AngleAxis<_Scalar> >
+{
+  typedef _Scalar Scalar;
+};
+}
+
+template<typename _Scalar>
+class AngleAxis : public RotationBase<AngleAxis<_Scalar>,3>
+{
+  typedef RotationBase<AngleAxis<_Scalar>,3> Base;
+
+public:
+
+  using Base::operator*;
+
+  enum { Dim = 3 };
+  /** the scalar type of the coefficients */
+  typedef _Scalar Scalar;
+  typedef Matrix<Scalar,3,3> Matrix3;
+  typedef Matrix<Scalar,3,1> Vector3;
+  typedef Quaternion<Scalar> QuaternionType;
+
+protected:
+
+  Vector3 m_axis;
+  Scalar m_angle;
+
+public:
+
+  /** Default constructor without initialization. */
+  EIGEN_DEVICE_FUNC AngleAxis() {}
+  /** Constructs and initialize the angle-axis rotation from an \a angle in radian
+    * and an \a axis which \b must \b be \b normalized.
+    *
+    * \warning If the \a axis vector is not normalized, then the angle-axis object
+    *          represents an invalid rotation. */
+  template<typename Derived>
+  EIGEN_DEVICE_FUNC 
+  inline AngleAxis(const Scalar& angle, const MatrixBase<Derived>& axis) : m_axis(axis), m_angle(angle) {}
+  /** Constructs and initialize the angle-axis rotation from a quaternion \a q.
+    * This function implicitly normalizes the quaternion \a q.
+    */
+  template<typename QuatDerived> 
+  EIGEN_DEVICE_FUNC inline explicit AngleAxis(const QuaternionBase<QuatDerived>& q) { *this = q; }
+  /** Constructs and initialize the angle-axis rotation from a 3x3 rotation matrix. */
+  template<typename Derived>
+  EIGEN_DEVICE_FUNC inline explicit AngleAxis(const MatrixBase<Derived>& m) { *this = m; }
+
+  /** \returns the value of the rotation angle in radian */
+  EIGEN_DEVICE_FUNC Scalar angle() const { return m_angle; }
+  /** \returns a read-write reference to the stored angle in radian */
+  EIGEN_DEVICE_FUNC Scalar& angle() { return m_angle; }
+
+  /** \returns the rotation axis */
+  EIGEN_DEVICE_FUNC const Vector3& axis() const { return m_axis; }
+  /** \returns a read-write reference to the stored rotation axis.
+    *
+    * \warning The rotation axis must remain a \b unit vector.
+    */
+  EIGEN_DEVICE_FUNC Vector3& axis() { return m_axis; }
+
+  /** Concatenates two rotations */
+  EIGEN_DEVICE_FUNC inline QuaternionType operator* (const AngleAxis& other) const
+  { return QuaternionType(*this) * QuaternionType(other); }
+
+  /** Concatenates two rotations */
+  EIGEN_DEVICE_FUNC inline QuaternionType operator* (const QuaternionType& other) const
+  { return QuaternionType(*this) * other; }
+
+  /** Concatenates two rotations */
+  friend EIGEN_DEVICE_FUNC inline QuaternionType operator* (const QuaternionType& a, const AngleAxis& b)
+  { return a * QuaternionType(b); }
+
+  /** \returns the inverse rotation, i.e., an angle-axis with opposite rotation angle */
+  EIGEN_DEVICE_FUNC AngleAxis inverse() const
+  { return AngleAxis(-m_angle, m_axis); }
+
+  template<class QuatDerived>
+  EIGEN_DEVICE_FUNC AngleAxis& operator=(const QuaternionBase<QuatDerived>& q);
+  template<typename Derived>
+  EIGEN_DEVICE_FUNC AngleAxis& operator=(const MatrixBase<Derived>& m);
+
+  template<typename Derived>
+  EIGEN_DEVICE_FUNC AngleAxis& fromRotationMatrix(const MatrixBase<Derived>& m);
+  EIGEN_DEVICE_FUNC Matrix3 toRotationMatrix(void) const;
+
+  /** \returns \c *this with scalar type casted to \a NewScalarType
+    *
+    * Note that if \a NewScalarType is equal to the current scalar type of \c *this
+    * then this function smartly returns a const reference to \c *this.
+    */
+  template<typename NewScalarType>
+  EIGEN_DEVICE_FUNC inline typename internal::cast_return_type<AngleAxis,AngleAxis<NewScalarType> >::type cast() const
+  { return typename internal::cast_return_type<AngleAxis,AngleAxis<NewScalarType> >::type(*this); }
+
+  /** Copy constructor with scalar type conversion */
+  template<typename OtherScalarType>
+  EIGEN_DEVICE_FUNC inline explicit AngleAxis(const AngleAxis<OtherScalarType>& other)
+  {
+    m_axis = other.axis().template cast<Scalar>();
+    m_angle = Scalar(other.angle());
+  }
+
+  EIGEN_DEVICE_FUNC static inline const AngleAxis Identity() { return AngleAxis(Scalar(0), Vector3::UnitX()); }
+
+  /** \returns \c true if \c *this is approximately equal to \a other, within the precision
+    * determined by \a prec.
+    *
+    * \sa MatrixBase::isApprox() */
+  EIGEN_DEVICE_FUNC bool isApprox(const AngleAxis& other, const typename NumTraits<Scalar>::Real& prec = NumTraits<Scalar>::dummy_precision()) const
+  { return m_axis.isApprox(other.m_axis, prec) && internal::isApprox(m_angle,other.m_angle, prec); }
+};
+
+/** \ingroup Geometry_Module
+  * single precision angle-axis type */
+typedef AngleAxis<float> AngleAxisf;
+/** \ingroup Geometry_Module
+  * double precision angle-axis type */
+typedef AngleAxis<double> AngleAxisd;
+
+/** Set \c *this from a \b unit quaternion.
+  *
+  * The resulting axis is normalized, and the computed angle is in the [0,pi] range.
+  * 
+  * This function implicitly normalizes the quaternion \a q.
+  */
+template<typename Scalar>
+template<typename QuatDerived>
+EIGEN_DEVICE_FUNC AngleAxis<Scalar>& AngleAxis<Scalar>::operator=(const QuaternionBase<QuatDerived>& q)
+{
+  EIGEN_USING_STD_MATH(atan2)
+  EIGEN_USING_STD_MATH(abs)
+  Scalar n = q.vec().norm();
+  if(n<NumTraits<Scalar>::epsilon())
+    n = q.vec().stableNorm();
+
+  if (n != Scalar(0))
+  {
+    m_angle = Scalar(2)*atan2(n, abs(q.w()));
+    if(q.w() < Scalar(0))
+      n = -n;
+    m_axis  = q.vec() / n;
+  }
+  else
+  {
+    m_angle = Scalar(0);
+    m_axis << Scalar(1), Scalar(0), Scalar(0);
+  }
+  return *this;
+}
+
+/** Set \c *this from a 3x3 rotation matrix \a mat.
+  */
+template<typename Scalar>
+template<typename Derived>
+EIGEN_DEVICE_FUNC AngleAxis<Scalar>& AngleAxis<Scalar>::operator=(const MatrixBase<Derived>& mat)
+{
+  // Since a direct conversion would not be really faster,
+  // let's use the robust Quaternion implementation:
+  return *this = QuaternionType(mat);
+}
+
+/**
+* \brief Sets \c *this from a 3x3 rotation matrix.
+**/
+template<typename Scalar>
+template<typename Derived>
+EIGEN_DEVICE_FUNC AngleAxis<Scalar>& AngleAxis<Scalar>::fromRotationMatrix(const MatrixBase<Derived>& mat)
+{
+  return *this = QuaternionType(mat);
+}
+
+/** Constructs and \returns an equivalent 3x3 rotation matrix.
+  */
+template<typename Scalar>
+typename AngleAxis<Scalar>::Matrix3
+EIGEN_DEVICE_FUNC AngleAxis<Scalar>::toRotationMatrix(void) const
+{
+  EIGEN_USING_STD_MATH(sin)
+  EIGEN_USING_STD_MATH(cos)
+  Matrix3 res;
+  Vector3 sin_axis  = sin(m_angle) * m_axis;
+  Scalar c = cos(m_angle);
+  Vector3 cos1_axis = (Scalar(1)-c) * m_axis;
+
+  Scalar tmp;
+  tmp = cos1_axis.x() * m_axis.y();
+  res.coeffRef(0,1) = tmp - sin_axis.z();
+  res.coeffRef(1,0) = tmp + sin_axis.z();
+
+  tmp = cos1_axis.x() * m_axis.z();
+  res.coeffRef(0,2) = tmp + sin_axis.y();
+  res.coeffRef(2,0) = tmp - sin_axis.y();
+
+  tmp = cos1_axis.y() * m_axis.z();
+  res.coeffRef(1,2) = tmp - sin_axis.x();
+  res.coeffRef(2,1) = tmp + sin_axis.x();
+
+  res.diagonal() = (cos1_axis.cwiseProduct(m_axis)).array() + c;
+
+  return res;
+}
+
+} // end namespace Eigen
+
+#endif // EIGEN_ANGLEAXIS_H
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Geometry/Transform.h
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Geometry/Transform.h	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Geometry/Transform.h	(revision 3761)
@@ -0,0 +1,1542 @@
+// This file is part of Eigen, a lightweight C++ template library
+// for linear algebra.
+//
+// Copyright (C) 2008 Gael Guennebaud <gael.guennebaud@inria.fr>
+// Copyright (C) 2009 Benoit Jacob <jacob.benoit.1@gmail.com>
+// Copyright (C) 2010 Hauke Heibel <hauke.heibel@gmail.com>
+//
+// This Source Code Form is subject to the terms of the Mozilla
+// Public License v. 2.0. If a copy of the MPL was not distributed
+// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
+
+#ifndef EIGEN_TRANSFORM_H
+#define EIGEN_TRANSFORM_H
+
+namespace Eigen { 
+
+namespace internal {
+
+template<typename Transform>
+struct transform_traits
+{
+  enum
+  {
+    Dim = Transform::Dim,
+    HDim = Transform::HDim,
+    Mode = Transform::Mode,
+    IsProjective = (int(Mode)==int(Projective))
+  };
+};
+
+template< typename TransformType,
+          typename MatrixType,
+          int Case = transform_traits<TransformType>::IsProjective ? 0
+                   : int(MatrixType::RowsAtCompileTime) == int(transform_traits<TransformType>::HDim) ? 1
+                   : 2,
+          int RhsCols = MatrixType::ColsAtCompileTime>
+struct transform_right_product_impl;
+
+template< typename Other,
+          int Mode,
+          int Options,
+          int Dim,
+          int HDim,
+          int OtherRows=Other::RowsAtCompileTime,
+          int OtherCols=Other::ColsAtCompileTime>
+struct transform_left_product_impl;
+
+template< typename Lhs,
+          typename Rhs,
+          bool AnyProjective = 
+            transform_traits<Lhs>::IsProjective ||
+            transform_traits<Rhs>::IsProjective>
+struct transform_transform_product_impl;
+
+template< typename Other,
+          int Mode,
+          int Options,
+          int Dim,
+          int HDim,
+          int OtherRows=Other::RowsAtCompileTime,
+          int OtherCols=Other::ColsAtCompileTime>
+struct transform_construct_from_matrix;
+
+template<typename TransformType> struct transform_take_affine_part;
+
+template<typename _Scalar, int _Dim, int _Mode, int _Options>
+struct traits<Transform<_Scalar,_Dim,_Mode,_Options> >
+{
+  typedef _Scalar Scalar;
+  typedef Eigen::Index StorageIndex;
+  typedef Dense StorageKind;
+  enum {
+    Dim1 = _Dim==Dynamic ? _Dim : _Dim + 1,
+    RowsAtCompileTime = _Mode==Projective ? Dim1 : _Dim,
+    ColsAtCompileTime = Dim1,
+    MaxRowsAtCompileTime = RowsAtCompileTime,
+    MaxColsAtCompileTime = ColsAtCompileTime,
+    Flags = 0
+  };
+};
+
+template<int Mode> struct transform_make_affine;
+
+} // end namespace internal
+
+/** \geometry_module \ingroup Geometry_Module
+  *
+  * \class Transform
+  *
+  * \brief Represents an homogeneous transformation in a N dimensional space
+  *
+  * \tparam _Scalar the scalar type, i.e., the type of the coefficients
+  * \tparam _Dim the dimension of the space
+  * \tparam _Mode the type of the transformation. Can be:
+  *              - #Affine: the transformation is stored as a (Dim+1)^2 matrix,
+  *                         where the last row is assumed to be [0 ... 0 1].
+  *              - #AffineCompact: the transformation is stored as a (Dim)x(Dim+1) matrix.
+  *              - #Projective: the transformation is stored as a (Dim+1)^2 matrix
+  *                             without any assumption.
+  * \tparam _Options has the same meaning as in class Matrix. It allows to specify DontAlign and/or RowMajor.
+  *                  These Options are passed directly to the underlying matrix type.
+  *
+  * The homography is internally represented and stored by a matrix which
+  * is available through the matrix() method. To understand the behavior of
+  * this class you have to think a Transform object as its internal
+  * matrix representation. The chosen convention is right multiply:
+  *
+  * \code v' = T * v \endcode
+  *
+  * Therefore, an affine transformation matrix M is shaped like this:
+  *
+  * \f$ \left( \begin{array}{cc}
+  * linear & translation\\
+  * 0 ... 0 & 1
+  * \end{array} \right) \f$
+  *
+  * Note that for a projective transformation the last row can be anything,
+  * and then the interpretation of different parts might be sightly different.
+  *
+  * However, unlike a plain matrix, the Transform class provides many features
+  * simplifying both its assembly and usage. In particular, it can be composed
+  * with any other transformations (Transform,Translation,RotationBase,DiagonalMatrix)
+  * and can be directly used to transform implicit homogeneous vectors. All these
+  * operations are handled via the operator*. For the composition of transformations,
+  * its principle consists to first convert the right/left hand sides of the product
+  * to a compatible (Dim+1)^2 matrix and then perform a pure matrix product.
+  * Of course, internally, operator* tries to perform the minimal number of operations
+  * according to the nature of each terms. Likewise, when applying the transform
+  * to points, the latters are automatically promoted to homogeneous vectors
+  * before doing the matrix product. The conventions to homogeneous representations
+  * are performed as follow:
+  *
+  * \b Translation t (Dim)x(1):
+  * \f$ \left( \begin{array}{cc}
+  * I & t \\
+  * 0\,...\,0 & 1
+  * \end{array} \right) \f$
+  *
+  * \b Rotation R (Dim)x(Dim):
+  * \f$ \left( \begin{array}{cc}
+  * R & 0\\
+  * 0\,...\,0 & 1
+  * \end{array} \right) \f$
+  *<!--
+  * \b Linear \b Matrix L (Dim)x(Dim):
+  * \f$ \left( \begin{array}{cc}
+  * L & 0\\
+  * 0\,...\,0 & 1
+  * \end{array} \right) \f$
+  *
+  * \b Affine \b Matrix A (Dim)x(Dim+1):
+  * \f$ \left( \begin{array}{c}
+  * A\\
+  * 0\,...\,0\,1
+  * \end{array} \right) \f$
+  *-->
+  * \b Scaling \b DiagonalMatrix S (Dim)x(Dim):
+  * \f$ \left( \begin{array}{cc}
+  * S & 0\\
+  * 0\,...\,0 & 1
+  * \end{array} \right) \f$
+  *
+  * \b Column \b point v (Dim)x(1):
+  * \f$ \left( \begin{array}{c}
+  * v\\
+  * 1
+  * \end{array} \right) \f$
+  *
+  * \b Set \b of \b column \b points V1...Vn (Dim)x(n):
+  * \f$ \left( \begin{array}{ccc}
+  * v_1 & ... & v_n\\
+  * 1 & ... & 1
+  * \end{array} \right) \f$
+  *
+  * The concatenation of a Transform object with any kind of other transformation
+  * always returns a Transform object.
+  *
+  * A little exception to the "as pure matrix product" rule is the case of the
+  * transformation of non homogeneous vectors by an affine transformation. In
+  * that case the last matrix row can be ignored, and the product returns non
+  * homogeneous vectors.
+  *
+  * Since, for instance, a Dim x Dim matrix is interpreted as a linear transformation,
+  * it is not possible to directly transform Dim vectors stored in a Dim x Dim matrix.
+  * The solution is either to use a Dim x Dynamic matrix or explicitly request a
+  * vector transformation by making the vector homogeneous:
+  * \code
+  * m' = T * m.colwise().homogeneous();
+  * \endcode
+  * Note that there is zero overhead.
+  *
+  * Conversion methods from/to Qt's QMatrix and QTransform are available if the
+  * preprocessor token EIGEN_QT_SUPPORT is defined.
+  *
+  * This class can be extended with the help of the plugin mechanism described on the page
+  * \ref TopicCustomizing_Plugins by defining the preprocessor symbol \c EIGEN_TRANSFORM_PLUGIN.
+  *
+  * \sa class Matrix, class Quaternion
+  */
+template<typename _Scalar, int _Dim, int _Mode, int _Options>
+class Transform
+{
+public:
+  EIGEN_MAKE_ALIGNED_OPERATOR_NEW_IF_VECTORIZABLE_FIXED_SIZE(_Scalar,_Dim==Dynamic ? Dynamic : (_Dim+1)*(_Dim+1))
+  enum {
+    Mode = _Mode,
+    Options = _Options,
+    Dim = _Dim,     ///< space dimension in which the transformation holds
+    HDim = _Dim+1,  ///< size of a respective homogeneous vector
+    Rows = int(Mode)==(AffineCompact) ? Dim : HDim
+  };
+  /** the scalar type of the coefficients */
+  typedef _Scalar Scalar;
+  typedef Eigen::Index StorageIndex;
+  typedef Eigen::Index Index; ///< \deprecated since Eigen 3.3
+  /** type of the matrix used to represent the transformation */
+  typedef typename internal::make_proper_matrix_type<Scalar,Rows,HDim,Options>::type MatrixType;
+  /** constified MatrixType */
+  typedef const MatrixType ConstMatrixType;
+  /** type of the matrix used to represent the linear part of the transformation */
+  typedef Matrix<Scalar,Dim,Dim,Options> LinearMatrixType;
+  /** type of read/write reference to the linear part of the transformation */
+  typedef Block<MatrixType,Dim,Dim,int(Mode)==(AffineCompact) && (Options&RowMajor)==0> LinearPart;
+  /** type of read reference to the linear part of the transformation */
+  typedef const Block<ConstMatrixType,Dim,Dim,int(Mode)==(AffineCompact) && (Options&RowMajor)==0> ConstLinearPart;
+  /** type of read/write reference to the affine part of the transformation */
+  typedef typename internal::conditional<int(Mode)==int(AffineCompact),
+                              MatrixType&,
+                              Block<MatrixType,Dim,HDim> >::type AffinePart;
+  /** type of read reference to the affine part of the transformation */
+  typedef typename internal::conditional<int(Mode)==int(AffineCompact),
+                              const MatrixType&,
+                              const Block<const MatrixType,Dim,HDim> >::type ConstAffinePart;
+  /** type of a vector */
+  typedef Matrix<Scalar,Dim,1> VectorType;
+  /** type of a read/write reference to the translation part of the rotation */
+  typedef Block<MatrixType,Dim,1,!(internal::traits<MatrixType>::Flags & RowMajorBit)> TranslationPart;
+  /** type of a read reference to the translation part of the rotation */
+  typedef const Block<ConstMatrixType,Dim,1,!(internal::traits<MatrixType>::Flags & RowMajorBit)> ConstTranslationPart;
+  /** corresponding translation type */
+  typedef Translation<Scalar,Dim> TranslationType;
+  
+  // this intermediate enum is needed to avoid an ICE with gcc 3.4 and 4.0
+  enum { TransformTimeDiagonalMode = ((Mode==int(Isometry))?Affine:int(Mode)) };
+  /** The return type of the product between a diagonal matrix and a transform */
+  typedef Transform<Scalar,Dim,TransformTimeDiagonalMode> TransformTimeDiagonalReturnType;
+
+protected:
+
+  MatrixType m_matrix;
+
+public:
+
+  /** Default constructor without initialization of the meaningful coefficients.
+    * If Mode==Affine or Mode==Isometry, then the last row is set to [0 ... 0 1] */
+  EIGEN_DEVICE_FUNC inline Transform()
+  {
+    check_template_params();
+    internal::transform_make_affine<(int(Mode)==Affine || int(Mode)==Isometry) ? Affine : AffineCompact>::run(m_matrix);
+  }
+
+  EIGEN_DEVICE_FUNC inline Transform(const Transform& other)
+  {
+    check_template_params();
+    m_matrix = other.m_matrix;
+  }
+
+  EIGEN_DEVICE_FUNC inline explicit Transform(const TranslationType& t)
+  {
+    check_template_params();
+    *this = t;
+  }
+  EIGEN_DEVICE_FUNC inline explicit Transform(const UniformScaling<Scalar>& s)
+  {
+    check_template_params();
+    *this = s;
+  }
+  template<typename Derived>
+  EIGEN_DEVICE_FUNC inline explicit Transform(const RotationBase<Derived, Dim>& r)
+  {
+    check_template_params();
+    *this = r;
+  }
+
+  EIGEN_DEVICE_FUNC inline Transform& operator=(const Transform& other)
+  { m_matrix = other.m_matrix; return *this; }
+
+  typedef internal::transform_take_affine_part<Transform> take_affine_part;
+
+  /** Constructs and initializes a transformation from a Dim^2 or a (Dim+1)^2 matrix. */
+  template<typename OtherDerived>
+  EIGEN_DEVICE_FUNC inline explicit Transform(const EigenBase<OtherDerived>& other)
+  {
+    EIGEN_STATIC_ASSERT((internal::is_same<Scalar,typename OtherDerived::Scalar>::value),
+      YOU_MIXED_DIFFERENT_NUMERIC_TYPES__YOU_NEED_TO_USE_THE_CAST_METHOD_OF_MATRIXBASE_TO_CAST_NUMERIC_TYPES_EXPLICITLY);
+
+    check_template_params();
+    internal::transform_construct_from_matrix<OtherDerived,Mode,Options,Dim,HDim>::run(this, other.derived());
+  }
+
+  /** Set \c *this from a Dim^2 or (Dim+1)^2 matrix. */
+  template<typename OtherDerived>
+  EIGEN_DEVICE_FUNC inline Transform& operator=(const EigenBase<OtherDerived>& other)
+  {
+    EIGEN_STATIC_ASSERT((internal::is_same<Scalar,typename OtherDerived::Scalar>::value),
+      YOU_MIXED_DIFFERENT_NUMERIC_TYPES__YOU_NEED_TO_USE_THE_CAST_METHOD_OF_MATRIXBASE_TO_CAST_NUMERIC_TYPES_EXPLICITLY);
+
+    internal::transform_construct_from_matrix<OtherDerived,Mode,Options,Dim,HDim>::run(this, other.derived());
+    return *this;
+  }
+  
+  template<int OtherOptions>
+  EIGEN_DEVICE_FUNC inline Transform(const Transform<Scalar,Dim,Mode,OtherOptions>& other)
+  {
+    check_template_params();
+    // only the options change, we can directly copy the matrices
+    m_matrix = other.matrix();
+  }
+
+  template<int OtherMode,int OtherOptions>
+  EIGEN_DEVICE_FUNC inline Transform(const Transform<Scalar,Dim,OtherMode,OtherOptions>& other)
+  {
+    check_template_params();
+    // prevent conversions as:
+    // Affine | AffineCompact | Isometry = Projective
+    EIGEN_STATIC_ASSERT(EIGEN_IMPLIES(OtherMode==int(Projective), Mode==int(Projective)),
+                        YOU_PERFORMED_AN_INVALID_TRANSFORMATION_CONVERSION)
+
+    // prevent conversions as:
+    // Isometry = Affine | AffineCompact
+    EIGEN_STATIC_ASSERT(EIGEN_IMPLIES(OtherMode==int(Affine)||OtherMode==int(AffineCompact), Mode!=int(Isometry)),
+                        YOU_PERFORMED_AN_INVALID_TRANSFORMATION_CONVERSION)
+
+    enum { ModeIsAffineCompact = Mode == int(AffineCompact),
+           OtherModeIsAffineCompact = OtherMode == int(AffineCompact)
+    };
+
+    if(ModeIsAffineCompact == OtherModeIsAffineCompact)
+    {
+      // We need the block expression because the code is compiled for all
+      // combinations of transformations and will trigger a compile time error
+      // if one tries to assign the matrices directly
+      m_matrix.template block<Dim,Dim+1>(0,0) = other.matrix().template block<Dim,Dim+1>(0,0);
+      makeAffine();
+    }
+    else if(OtherModeIsAffineCompact)
+    {
+      typedef typename Transform<Scalar,Dim,OtherMode,OtherOptions>::MatrixType OtherMatrixType;
+      internal::transform_construct_from_matrix<OtherMatrixType,Mode,Options,Dim,HDim>::run(this, other.matrix());
+    }
+    else
+    {
+      // here we know that Mode == AffineCompact and OtherMode != AffineCompact.
+      // if OtherMode were Projective, the static assert above would already have caught it.
+      // So the only possibility is that OtherMode == Affine
+      linear() = other.linear();
+      translation() = other.translation();
+    }
+  }
+
+  template<typename OtherDerived>
+  EIGEN_DEVICE_FUNC Transform(const ReturnByValue<OtherDerived>& other)
+  {
+    check_template_params();
+    other.evalTo(*this);
+  }
+
+  template<typename OtherDerived>
+  EIGEN_DEVICE_FUNC Transform& operator=(const ReturnByValue<OtherDerived>& other)
+  {
+    other.evalTo(*this);
+    return *this;
+  }
+
+  #ifdef EIGEN_QT_SUPPORT
+  inline Transform(const QMatrix& other);
+  inline Transform& operator=(const QMatrix& other);
+  inline QMatrix toQMatrix(void) const;
+  inline Transform(const QTransform& other);
+  inline Transform& operator=(const QTransform& other);
+  inline QTransform toQTransform(void) const;
+  #endif
+  
+  EIGEN_DEVICE_FUNC Index rows() const { return int(Mode)==int(Projective) ? m_matrix.cols() : (m_matrix.cols()-1); }
+  EIGEN_DEVICE_FUNC Index cols() const { return m_matrix.cols(); }
+
+  /** shortcut for m_matrix(row,col);
+    * \sa MatrixBase::operator(Index,Index) const */
+  EIGEN_DEVICE_FUNC inline Scalar operator() (Index row, Index col) const { return m_matrix(row,col); }
+  /** shortcut for m_matrix(row,col);
+    * \sa MatrixBase::operator(Index,Index) */
+  EIGEN_DEVICE_FUNC inline Scalar& operator() (Index row, Index col) { return m_matrix(row,col); }
+
+  /** \returns a read-only expression of the transformation matrix */
+  EIGEN_DEVICE_FUNC inline const MatrixType& matrix() const { return m_matrix; }
+  /** \returns a writable expression of the transformation matrix */
+  EIGEN_DEVICE_FUNC inline MatrixType& matrix() { return m_matrix; }
+
+  /** \returns a read-only expression of the linear part of the transformation */
+  EIGEN_DEVICE_FUNC inline ConstLinearPart linear() const { return ConstLinearPart(m_matrix,0,0); }
+  /** \returns a writable expression of the linear part of the transformation */
+  EIGEN_DEVICE_FUNC inline LinearPart linear() { return LinearPart(m_matrix,0,0); }
+
+  /** \returns a read-only expression of the Dim x HDim affine part of the transformation */
+  EIGEN_DEVICE_FUNC inline ConstAffinePart affine() const { return take_affine_part::run(m_matrix); }
+  /** \returns a writable expression of the Dim x HDim affine part of the transformation */
+  EIGEN_DEVICE_FUNC inline AffinePart affine() { return take_affine_part::run(m_matrix); }
+
+  /** \returns a read-only expression of the translation vector of the transformation */
+  EIGEN_DEVICE_FUNC inline ConstTranslationPart translation() const { return ConstTranslationPart(m_matrix,0,Dim); }
+  /** \returns a writable expression of the translation vector of the transformation */
+  EIGEN_DEVICE_FUNC inline TranslationPart translation() { return TranslationPart(m_matrix,0,Dim); }
+
+  /** \returns an expression of the product between the transform \c *this and a matrix expression \a other.
+    *
+    * The right-hand-side \a other can be either:
+    * \li an homogeneous vector of size Dim+1,
+    * \li a set of homogeneous vectors of size Dim+1 x N,
+    * \li a transformation matrix of size Dim+1 x Dim+1.
+    *
+    * Moreover, if \c *this represents an affine transformation (i.e., Mode!=Projective), then \a other can also be:
+    * \li a point of size Dim (computes: \code this->linear() * other + this->translation()\endcode),
+    * \li a set of N points as a Dim x N matrix (computes: \code (this->linear() * other).colwise() + this->translation()\endcode),
+    *
+    * In all cases, the return type is a matrix or vector of same sizes as the right-hand-side \a other.
+    *
+    * If you want to interpret \a other as a linear or affine transformation, then first convert it to a Transform<> type,
+    * or do your own cooking.
+    *
+    * Finally, if you want to apply Affine transformations to vectors, then explicitly apply the linear part only:
+    * \code
+    * Affine3f A;
+    * Vector3f v1, v2;
+    * v2 = A.linear() * v1;
+    * \endcode
+    *
+    */
+  // note: this function is defined here because some compilers cannot find the respective declaration
+  template<typename OtherDerived>
+  EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE const typename internal::transform_right_product_impl<Transform, OtherDerived>::ResultType
+  operator * (const EigenBase<OtherDerived> &other) const
+  { return internal::transform_right_product_impl<Transform, OtherDerived>::run(*this,other.derived()); }
+
+  /** \returns the product expression of a transformation matrix \a a times a transform \a b
+    *
+    * The left hand side \a other can be either:
+    * \li a linear transformation matrix of size Dim x Dim,
+    * \li an affine transformation matrix of size Dim x Dim+1,
+    * \li a general transformation matrix of size Dim+1 x Dim+1.
+    */
+  template<typename OtherDerived> friend
+  EIGEN_DEVICE_FUNC inline const typename internal::transform_left_product_impl<OtherDerived,Mode,Options,_Dim,_Dim+1>::ResultType
+    operator * (const EigenBase<OtherDerived> &a, const Transform &b)
+  { return internal::transform_left_product_impl<OtherDerived,Mode,Options,Dim,HDim>::run(a.derived(),b); }
+
+  /** \returns The product expression of a transform \a a times a diagonal matrix \a b
+    *
+    * The rhs diagonal matrix is interpreted as an affine scaling transformation. The
+    * product results in a Transform of the same type (mode) as the lhs only if the lhs 
+    * mode is no isometry. In that case, the returned transform is an affinity.
+    */
+  template<typename DiagonalDerived>
+  EIGEN_DEVICE_FUNC inline const TransformTimeDiagonalReturnType
+    operator * (const DiagonalBase<DiagonalDerived> &b) const
+  {
+    TransformTimeDiagonalReturnType res(*this);
+    res.linearExt() *= b;
+    return res;
+  }
+
+  /** \returns The product expression of a diagonal matrix \a a times a transform \a b
+    *
+    * The lhs diagonal matrix is interpreted as an affine scaling transformation. The
+    * product results in a Transform of the same type (mode) as the lhs only if the lhs 
+    * mode is no isometry. In that case, the returned transform is an affinity.
+    */
+  template<typename DiagonalDerived>
+  EIGEN_DEVICE_FUNC friend inline TransformTimeDiagonalReturnType
+    operator * (const DiagonalBase<DiagonalDerived> &a, const Transform &b)
+  {
+    TransformTimeDiagonalReturnType res;
+    res.linear().noalias() = a*b.linear();
+    res.translation().noalias() = a*b.translation();
+    if (Mode!=int(AffineCompact))
+      res.matrix().row(Dim) = b.matrix().row(Dim);
+    return res;
+  }
+
+  template<typename OtherDerived>
+  EIGEN_DEVICE_FUNC inline Transform& operator*=(const EigenBase<OtherDerived>& other) { return *this = *this * other; }
+
+  /** Concatenates two transformations */
+  EIGEN_DEVICE_FUNC inline const Transform operator * (const Transform& other) const
+  {
+    return internal::transform_transform_product_impl<Transform,Transform>::run(*this,other);
+  }
+  
+  #if EIGEN_COMP_ICC
+private:
+  // this intermediate structure permits to workaround a bug in ICC 11:
+  //   error: template instantiation resulted in unexpected function type of "Eigen::Transform<double, 3, 32, 0>
+  //             (const Eigen::Transform<double, 3, 2, 0> &) const"
+  //  (the meaning of a name may have changed since the template declaration -- the type of the template is:
+  // "Eigen::internal::transform_transform_product_impl<Eigen::Transform<double, 3, 32, 0>,
+  //     Eigen::Transform<double, 3, Mode, Options>, <expression>>::ResultType (const Eigen::Transform<double, 3, Mode, Options> &) const")
+  // 
+  template<int OtherMode,int OtherOptions> struct icc_11_workaround
+  {
+    typedef internal::transform_transform_product_impl<Transform,Transform<Scalar,Dim,OtherMode,OtherOptions> > ProductType;
+    typedef typename ProductType::ResultType ResultType;
+  };
+  
+public:
+  /** Concatenates two different transformations */
+  template<int OtherMode,int OtherOptions>
+  inline typename icc_11_workaround<OtherMode,OtherOptions>::ResultType
+    operator * (const Transform<Scalar,Dim,OtherMode,OtherOptions>& other) const
+  {
+    typedef typename icc_11_workaround<OtherMode,OtherOptions>::ProductType ProductType;
+    return ProductType::run(*this,other);
+  }
+  #else
+  /** Concatenates two different transformations */
+  template<int OtherMode,int OtherOptions>
+  EIGEN_DEVICE_FUNC inline typename internal::transform_transform_product_impl<Transform,Transform<Scalar,Dim,OtherMode,OtherOptions> >::ResultType
+    operator * (const Transform<Scalar,Dim,OtherMode,OtherOptions>& other) const
+  {
+    return internal::transform_transform_product_impl<Transform,Transform<Scalar,Dim,OtherMode,OtherOptions> >::run(*this,other);
+  }
+  #endif
+
+  /** \sa MatrixBase::setIdentity() */
+  EIGEN_DEVICE_FUNC void setIdentity() { m_matrix.setIdentity(); }
+
+  /**
+   * \brief Returns an identity transformation.
+   * \todo In the future this function should be returning a Transform expression.
+   */
+  EIGEN_DEVICE_FUNC static const Transform Identity()
+  {
+    return Transform(MatrixType::Identity());
+  }
+
+  template<typename OtherDerived>
+  EIGEN_DEVICE_FUNC 
+  inline Transform& scale(const MatrixBase<OtherDerived> &other);
+
+  template<typename OtherDerived>
+  EIGEN_DEVICE_FUNC
+  inline Transform& prescale(const MatrixBase<OtherDerived> &other);
+
+  EIGEN_DEVICE_FUNC inline Transform& scale(const Scalar& s);
+  EIGEN_DEVICE_FUNC inline Transform& prescale(const Scalar& s);
+
+  template<typename OtherDerived>
+  EIGEN_DEVICE_FUNC
+  inline Transform& translate(const MatrixBase<OtherDerived> &other);
+
+  template<typename OtherDerived>
+  EIGEN_DEVICE_FUNC
+  inline Transform& pretranslate(const MatrixBase<OtherDerived> &other);
+
+  template<typename RotationType>
+  EIGEN_DEVICE_FUNC
+  inline Transform& rotate(const RotationType& rotation);
+
+  template<typename RotationType>
+  EIGEN_DEVICE_FUNC
+  inline Transform& prerotate(const RotationType& rotation);
+
+  EIGEN_DEVICE_FUNC Transform& shear(const Scalar& sx, const Scalar& sy);
+  EIGEN_DEVICE_FUNC Transform& preshear(const Scalar& sx, const Scalar& sy);
+
+  EIGEN_DEVICE_FUNC inline Transform& operator=(const TranslationType& t);
+  
+  EIGEN_DEVICE_FUNC
+  inline Transform& operator*=(const TranslationType& t) { return translate(t.vector()); }
+  
+  EIGEN_DEVICE_FUNC inline Transform operator*(const TranslationType& t) const;
+
+  EIGEN_DEVICE_FUNC 
+  inline Transform& operator=(const UniformScaling<Scalar>& t);
+  
+  EIGEN_DEVICE_FUNC
+  inline Transform& operator*=(const UniformScaling<Scalar>& s) { return scale(s.factor()); }
+  
+  EIGEN_DEVICE_FUNC
+  inline TransformTimeDiagonalReturnType operator*(const UniformScaling<Scalar>& s) const
+  {
+    TransformTimeDiagonalReturnType res = *this;
+    res.scale(s.factor());
+    return res;
+  }
+
+  EIGEN_DEVICE_FUNC
+  inline Transform& operator*=(const DiagonalMatrix<Scalar,Dim>& s) { linearExt() *= s; return *this; }
+
+  template<typename Derived>
+  EIGEN_DEVICE_FUNC inline Transform& operator=(const RotationBase<Derived,Dim>& r);
+  template<typename Derived>
+  EIGEN_DEVICE_FUNC inline Transform& operator*=(const RotationBase<Derived,Dim>& r) { return rotate(r.toRotationMatrix()); }
+  template<typename Derived>
+  EIGEN_DEVICE_FUNC inline Transform operator*(const RotationBase<Derived,Dim>& r) const;
+
+  EIGEN_DEVICE_FUNC const LinearMatrixType rotation() const;
+  template<typename RotationMatrixType, typename ScalingMatrixType>
+  EIGEN_DEVICE_FUNC
+  void computeRotationScaling(RotationMatrixType *rotation, ScalingMatrixType *scaling) const;
+  template<typename ScalingMatrixType, typename RotationMatrixType>
+  EIGEN_DEVICE_FUNC
+  void computeScalingRotation(ScalingMatrixType *scaling, RotationMatrixType *rotation) const;
+
+  template<typename PositionDerived, typename OrientationType, typename ScaleDerived>
+  EIGEN_DEVICE_FUNC
+  Transform& fromPositionOrientationScale(const MatrixBase<PositionDerived> &position,
+    const OrientationType& orientation, const MatrixBase<ScaleDerived> &scale);
+
+  EIGEN_DEVICE_FUNC
+  inline Transform inverse(TransformTraits traits = (TransformTraits)Mode) const;
+
+  /** \returns a const pointer to the column major internal matrix */
+  EIGEN_DEVICE_FUNC const Scalar* data() const { return m_matrix.data(); }
+  /** \returns a non-const pointer to the column major internal matrix */
+  EIGEN_DEVICE_FUNC Scalar* data() { return m_matrix.data(); }
+
+  /** \returns \c *this with scalar type casted to \a NewScalarType
+    *
+    * Note that if \a NewScalarType is equal to the current scalar type of \c *this
+    * then this function smartly returns a const reference to \c *this.
+    */
+  template<typename NewScalarType>
+  EIGEN_DEVICE_FUNC inline typename internal::cast_return_type<Transform,Transform<NewScalarType,Dim,Mode,Options> >::type cast() const
+  { return typename internal::cast_return_type<Transform,Transform<NewScalarType,Dim,Mode,Options> >::type(*this); }
+
+  /** Copy constructor with scalar type conversion */
+  template<typename OtherScalarType>
+  EIGEN_DEVICE_FUNC inline explicit Transform(const Transform<OtherScalarType,Dim,Mode,Options>& other)
+  {
+    check_template_params();
+    m_matrix = other.matrix().template cast<Scalar>();
+  }
+
+  /** \returns \c true if \c *this is approximately equal to \a other, within the precision
+    * determined by \a prec.
+    *
+    * \sa MatrixBase::isApprox() */
+  EIGEN_DEVICE_FUNC bool isApprox(const Transform& other, const typename NumTraits<Scalar>::Real& prec = NumTraits<Scalar>::dummy_precision()) const
+  { return m_matrix.isApprox(other.m_matrix, prec); }
+
+  /** Sets the last row to [0 ... 0 1]
+    */
+  EIGEN_DEVICE_FUNC void makeAffine()
+  {
+    internal::transform_make_affine<int(Mode)>::run(m_matrix);
+  }
+
+  /** \internal
+    * \returns the Dim x Dim linear part if the transformation is affine,
+    *          and the HDim x Dim part for projective transformations.
+    */
+  EIGEN_DEVICE_FUNC inline Block<MatrixType,int(Mode)==int(Projective)?HDim:Dim,Dim> linearExt()
+  { return m_matrix.template block<int(Mode)==int(Projective)?HDim:Dim,Dim>(0,0); }
+  /** \internal
+    * \returns the Dim x Dim linear part if the transformation is affine,
+    *          and the HDim x Dim part for projective transformations.
+    */
+  EIGEN_DEVICE_FUNC inline const Block<MatrixType,int(Mode)==int(Projective)?HDim:Dim,Dim> linearExt() const
+  { return m_matrix.template block<int(Mode)==int(Projective)?HDim:Dim,Dim>(0,0); }
+
+  /** \internal
+    * \returns the translation part if the transformation is affine,
+    *          and the last column for projective transformations.
+    */
+  EIGEN_DEVICE_FUNC inline Block<MatrixType,int(Mode)==int(Projective)?HDim:Dim,1> translationExt()
+  { return m_matrix.template block<int(Mode)==int(Projective)?HDim:Dim,1>(0,Dim); }
+  /** \internal
+    * \returns the translation part if the transformation is affine,
+    *          and the last column for projective transformations.
+    */
+  EIGEN_DEVICE_FUNC inline const Block<MatrixType,int(Mode)==int(Projective)?HDim:Dim,1> translationExt() const
+  { return m_matrix.template block<int(Mode)==int(Projective)?HDim:Dim,1>(0,Dim); }
+
+
+  #ifdef EIGEN_TRANSFORM_PLUGIN
+  #include EIGEN_TRANSFORM_PLUGIN
+  #endif
+  
+protected:
+  #ifndef EIGEN_PARSED_BY_DOXYGEN
+    EIGEN_DEVICE_FUNC static EIGEN_STRONG_INLINE void check_template_params()
+    {
+      EIGEN_STATIC_ASSERT((Options & (DontAlign|RowMajor)) == Options, INVALID_MATRIX_TEMPLATE_PARAMETERS)
+    }
+  #endif
+
+};
+
+/** \ingroup Geometry_Module */
+typedef Transform<float,2,Isometry> Isometry2f;
+/** \ingroup Geometry_Module */
+typedef Transform<float,3,Isometry> Isometry3f;
+/** \ingroup Geometry_Module */
+typedef Transform<double,2,Isometry> Isometry2d;
+/** \ingroup Geometry_Module */
+typedef Transform<double,3,Isometry> Isometry3d;
+
+/** \ingroup Geometry_Module */
+typedef Transform<float,2,Affine> Affine2f;
+/** \ingroup Geometry_Module */
+typedef Transform<float,3,Affine> Affine3f;
+/** \ingroup Geometry_Module */
+typedef Transform<double,2,Affine> Affine2d;
+/** \ingroup Geometry_Module */
+typedef Transform<double,3,Affine> Affine3d;
+
+/** \ingroup Geometry_Module */
+typedef Transform<float,2,AffineCompact> AffineCompact2f;
+/** \ingroup Geometry_Module */
+typedef Transform<float,3,AffineCompact> AffineCompact3f;
+/** \ingroup Geometry_Module */
+typedef Transform<double,2,AffineCompact> AffineCompact2d;
+/** \ingroup Geometry_Module */
+typedef Transform<double,3,AffineCompact> AffineCompact3d;
+
+/** \ingroup Geometry_Module */
+typedef Transform<float,2,Projective> Projective2f;
+/** \ingroup Geometry_Module */
+typedef Transform<float,3,Projective> Projective3f;
+/** \ingroup Geometry_Module */
+typedef Transform<double,2,Projective> Projective2d;
+/** \ingroup Geometry_Module */
+typedef Transform<double,3,Projective> Projective3d;
+
+/**************************
+*** Optional QT support ***
+**************************/
+
+#ifdef EIGEN_QT_SUPPORT
+/** Initializes \c *this from a QMatrix assuming the dimension is 2.
+  *
+  * This function is available only if the token EIGEN_QT_SUPPORT is defined.
+  */
+template<typename Scalar, int Dim, int Mode,int Options>
+Transform<Scalar,Dim,Mode,Options>::Transform(const QMatrix& other)
+{
+  check_template_params();
+  *this = other;
+}
+
+/** Set \c *this from a QMatrix assuming the dimension is 2.
+  *
+  * This function is available only if the token EIGEN_QT_SUPPORT is defined.
+  */
+template<typename Scalar, int Dim, int Mode,int Options>
+Transform<Scalar,Dim,Mode,Options>& Transform<Scalar,Dim,Mode,Options>::operator=(const QMatrix& other)
+{
+  EIGEN_STATIC_ASSERT(Dim==2, YOU_MADE_A_PROGRAMMING_MISTAKE)
+  if (Mode == int(AffineCompact))
+    m_matrix << other.m11(), other.m21(), other.dx(),
+                other.m12(), other.m22(), other.dy();
+  else
+    m_matrix << other.m11(), other.m21(), other.dx(),
+                other.m12(), other.m22(), other.dy(),
+                0, 0, 1;
+  return *this;
+}
+
+/** \returns a QMatrix from \c *this assuming the dimension is 2.
+  *
+  * \warning this conversion might loss data if \c *this is not affine
+  *
+  * This function is available only if the token EIGEN_QT_SUPPORT is defined.
+  */
+template<typename Scalar, int Dim, int Mode, int Options>
+QMatrix Transform<Scalar,Dim,Mode,Options>::toQMatrix(void) const
+{
+  check_template_params();
+  EIGEN_STATIC_ASSERT(Dim==2, YOU_MADE_A_PROGRAMMING_MISTAKE)
+  return QMatrix(m_matrix.coeff(0,0), m_matrix.coeff(1,0),
+                 m_matrix.coeff(0,1), m_matrix.coeff(1,1),
+                 m_matrix.coeff(0,2), m_matrix.coeff(1,2));
+}
+
+/** Initializes \c *this from a QTransform assuming the dimension is 2.
+  *
+  * This function is available only if the token EIGEN_QT_SUPPORT is defined.
+  */
+template<typename Scalar, int Dim, int Mode,int Options>
+Transform<Scalar,Dim,Mode,Options>::Transform(const QTransform& other)
+{
+  check_template_params();
+  *this = other;
+}
+
+/** Set \c *this from a QTransform assuming the dimension is 2.
+  *
+  * This function is available only if the token EIGEN_QT_SUPPORT is defined.
+  */
+template<typename Scalar, int Dim, int Mode, int Options>
+Transform<Scalar,Dim,Mode,Options>& Transform<Scalar,Dim,Mode,Options>::operator=(const QTransform& other)
+{
+  check_template_params();
+  EIGEN_STATIC_ASSERT(Dim==2, YOU_MADE_A_PROGRAMMING_MISTAKE)
+  if (Mode == int(AffineCompact))
+    m_matrix << other.m11(), other.m21(), other.dx(),
+                other.m12(), other.m22(), other.dy();
+  else
+    m_matrix << other.m11(), other.m21(), other.dx(),
+                other.m12(), other.m22(), other.dy(),
+                other.m13(), other.m23(), other.m33();
+  return *this;
+}
+
+/** \returns a QTransform from \c *this assuming the dimension is 2.
+  *
+  * This function is available only if the token EIGEN_QT_SUPPORT is defined.
+  */
+template<typename Scalar, int Dim, int Mode, int Options>
+QTransform Transform<Scalar,Dim,Mode,Options>::toQTransform(void) const
+{
+  EIGEN_STATIC_ASSERT(Dim==2, YOU_MADE_A_PROGRAMMING_MISTAKE)
+  if (Mode == int(AffineCompact))
+    return QTransform(m_matrix.coeff(0,0), m_matrix.coeff(1,0),
+                      m_matrix.coeff(0,1), m_matrix.coeff(1,1),
+                      m_matrix.coeff(0,2), m_matrix.coeff(1,2));
+  else
+    return QTransform(m_matrix.coeff(0,0), m_matrix.coeff(1,0), m_matrix.coeff(2,0),
+                      m_matrix.coeff(0,1), m_matrix.coeff(1,1), m_matrix.coeff(2,1),
+                      m_matrix.coeff(0,2), m_matrix.coeff(1,2), m_matrix.coeff(2,2));
+}
+#endif
+
+/*********************
+*** Procedural API ***
+*********************/
+
+/** Applies on the right the non uniform scale transformation represented
+  * by the vector \a other to \c *this and returns a reference to \c *this.
+  * \sa prescale()
+  */
+template<typename Scalar, int Dim, int Mode, int Options>
+template<typename OtherDerived>
+EIGEN_DEVICE_FUNC Transform<Scalar,Dim,Mode,Options>&
+Transform<Scalar,Dim,Mode,Options>::scale(const MatrixBase<OtherDerived> &other)
+{
+  EIGEN_STATIC_ASSERT_VECTOR_SPECIFIC_SIZE(OtherDerived,int(Dim))
+  EIGEN_STATIC_ASSERT(Mode!=int(Isometry), THIS_METHOD_IS_ONLY_FOR_SPECIFIC_TRANSFORMATIONS)
+  linearExt().noalias() = (linearExt() * other.asDiagonal());
+  return *this;
+}
+
+/** Applies on the right a uniform scale of a factor \a c to \c *this
+  * and returns a reference to \c *this.
+  * \sa prescale(Scalar)
+  */
+template<typename Scalar, int Dim, int Mode, int Options>
+EIGEN_DEVICE_FUNC inline Transform<Scalar,Dim,Mode,Options>& Transform<Scalar,Dim,Mode,Options>::scale(const Scalar& s)
+{
+  EIGEN_STATIC_ASSERT(Mode!=int(Isometry), THIS_METHOD_IS_ONLY_FOR_SPECIFIC_TRANSFORMATIONS)
+  linearExt() *= s;
+  return *this;
+}
+
+/** Applies on the left the non uniform scale transformation represented
+  * by the vector \a other to \c *this and returns a reference to \c *this.
+  * \sa scale()
+  */
+template<typename Scalar, int Dim, int Mode, int Options>
+template<typename OtherDerived>
+EIGEN_DEVICE_FUNC Transform<Scalar,Dim,Mode,Options>&
+Transform<Scalar,Dim,Mode,Options>::prescale(const MatrixBase<OtherDerived> &other)
+{
+  EIGEN_STATIC_ASSERT_VECTOR_SPECIFIC_SIZE(OtherDerived,int(Dim))
+  EIGEN_STATIC_ASSERT(Mode!=int(Isometry), THIS_METHOD_IS_ONLY_FOR_SPECIFIC_TRANSFORMATIONS)
+  affine().noalias() = (other.asDiagonal() * affine());
+  return *this;
+}
+
+/** Applies on the left a uniform scale of a factor \a c to \c *this
+  * and returns a reference to \c *this.
+  * \sa scale(Scalar)
+  */
+template<typename Scalar, int Dim, int Mode, int Options>
+EIGEN_DEVICE_FUNC inline Transform<Scalar,Dim,Mode,Options>& Transform<Scalar,Dim,Mode,Options>::prescale(const Scalar& s)
+{
+  EIGEN_STATIC_ASSERT(Mode!=int(Isometry), THIS_METHOD_IS_ONLY_FOR_SPECIFIC_TRANSFORMATIONS)
+  m_matrix.template topRows<Dim>() *= s;
+  return *this;
+}
+
+/** Applies on the right the translation matrix represented by the vector \a other
+  * to \c *this and returns a reference to \c *this.
+  * \sa pretranslate()
+  */
+template<typename Scalar, int Dim, int Mode, int Options>
+template<typename OtherDerived>
+EIGEN_DEVICE_FUNC Transform<Scalar,Dim,Mode,Options>&
+Transform<Scalar,Dim,Mode,Options>::translate(const MatrixBase<OtherDerived> &other)
+{
+  EIGEN_STATIC_ASSERT_VECTOR_SPECIFIC_SIZE(OtherDerived,int(Dim))
+  translationExt() += linearExt() * other;
+  return *this;
+}
+
+/** Applies on the left the translation matrix represented by the vector \a other
+  * to \c *this and returns a reference to \c *this.
+  * \sa translate()
+  */
+template<typename Scalar, int Dim, int Mode, int Options>
+template<typename OtherDerived>
+EIGEN_DEVICE_FUNC Transform<Scalar,Dim,Mode,Options>&
+Transform<Scalar,Dim,Mode,Options>::pretranslate(const MatrixBase<OtherDerived> &other)
+{
+  EIGEN_STATIC_ASSERT_VECTOR_SPECIFIC_SIZE(OtherDerived,int(Dim))
+  if(int(Mode)==int(Projective))
+    affine() += other * m_matrix.row(Dim);
+  else
+    translation() += other;
+  return *this;
+}
+
+/** Applies on the right the rotation represented by the rotation \a rotation
+  * to \c *this and returns a reference to \c *this.
+  *
+  * The template parameter \a RotationType is the type of the rotation which
+  * must be known by internal::toRotationMatrix<>.
+  *
+  * Natively supported types includes:
+  *   - any scalar (2D),
+  *   - a Dim x Dim matrix expression,
+  *   - a Quaternion (3D),
+  *   - a AngleAxis (3D)
+  *
+  * This mechanism is easily extendable to support user types such as Euler angles,
+  * or a pair of Quaternion for 4D rotations.
+  *
+  * \sa rotate(Scalar), class Quaternion, class AngleAxis, prerotate(RotationType)
+  */
+template<typename Scalar, int Dim, int Mode, int Options>
+template<typename RotationType>
+EIGEN_DEVICE_FUNC Transform<Scalar,Dim,Mode,Options>&
+Transform<Scalar,Dim,Mode,Options>::rotate(const RotationType& rotation)
+{
+  linearExt() *= internal::toRotationMatrix<Scalar,Dim>(rotation);
+  return *this;
+}
+
+/** Applies on the left the rotation represented by the rotation \a rotation
+  * to \c *this and returns a reference to \c *this.
+  *
+  * See rotate() for further details.
+  *
+  * \sa rotate()
+  */
+template<typename Scalar, int Dim, int Mode, int Options>
+template<typename RotationType>
+EIGEN_DEVICE_FUNC Transform<Scalar,Dim,Mode,Options>&
+Transform<Scalar,Dim,Mode,Options>::prerotate(const RotationType& rotation)
+{
+  m_matrix.template block<Dim,HDim>(0,0) = internal::toRotationMatrix<Scalar,Dim>(rotation)
+                                         * m_matrix.template block<Dim,HDim>(0,0);
+  return *this;
+}
+
+/** Applies on the right the shear transformation represented
+  * by the vector \a other to \c *this and returns a reference to \c *this.
+  * \warning 2D only.
+  * \sa preshear()
+  */
+template<typename Scalar, int Dim, int Mode, int Options>
+EIGEN_DEVICE_FUNC Transform<Scalar,Dim,Mode,Options>&
+Transform<Scalar,Dim,Mode,Options>::shear(const Scalar& sx, const Scalar& sy)
+{
+  EIGEN_STATIC_ASSERT(int(Dim)==2, YOU_MADE_A_PROGRAMMING_MISTAKE)
+  EIGEN_STATIC_ASSERT(Mode!=int(Isometry), THIS_METHOD_IS_ONLY_FOR_SPECIFIC_TRANSFORMATIONS)
+  VectorType tmp = linear().col(0)*sy + linear().col(1);
+  linear() << linear().col(0) + linear().col(1)*sx, tmp;
+  return *this;
+}
+
+/** Applies on the left the shear transformation represented
+  * by the vector \a other to \c *this and returns a reference to \c *this.
+  * \warning 2D only.
+  * \sa shear()
+  */
+template<typename Scalar, int Dim, int Mode, int Options>
+EIGEN_DEVICE_FUNC Transform<Scalar,Dim,Mode,Options>&
+Transform<Scalar,Dim,Mode,Options>::preshear(const Scalar& sx, const Scalar& sy)
+{
+  EIGEN_STATIC_ASSERT(int(Dim)==2, YOU_MADE_A_PROGRAMMING_MISTAKE)
+  EIGEN_STATIC_ASSERT(Mode!=int(Isometry), THIS_METHOD_IS_ONLY_FOR_SPECIFIC_TRANSFORMATIONS)
+  m_matrix.template block<Dim,HDim>(0,0) = LinearMatrixType(1, sx, sy, 1) * m_matrix.template block<Dim,HDim>(0,0);
+  return *this;
+}
+
+/******************************************************
+*** Scaling, Translation and Rotation compatibility ***
+******************************************************/
+
+template<typename Scalar, int Dim, int Mode, int Options>
+EIGEN_DEVICE_FUNC inline Transform<Scalar,Dim,Mode,Options>& Transform<Scalar,Dim,Mode,Options>::operator=(const TranslationType& t)
+{
+  linear().setIdentity();
+  translation() = t.vector();
+  makeAffine();
+  return *this;
+}
+
+template<typename Scalar, int Dim, int Mode, int Options>
+EIGEN_DEVICE_FUNC inline Transform<Scalar,Dim,Mode,Options> Transform<Scalar,Dim,Mode,Options>::operator*(const TranslationType& t) const
+{
+  Transform res = *this;
+  res.translate(t.vector());
+  return res;
+}
+
+template<typename Scalar, int Dim, int Mode, int Options>
+EIGEN_DEVICE_FUNC inline Transform<Scalar,Dim,Mode,Options>& Transform<Scalar,Dim,Mode,Options>::operator=(const UniformScaling<Scalar>& s)
+{
+  m_matrix.setZero();
+  linear().diagonal().fill(s.factor());
+  makeAffine();
+  return *this;
+}
+
+template<typename Scalar, int Dim, int Mode, int Options>
+template<typename Derived>
+EIGEN_DEVICE_FUNC inline Transform<Scalar,Dim,Mode,Options>& Transform<Scalar,Dim,Mode,Options>::operator=(const RotationBase<Derived,Dim>& r)
+{
+  linear() = internal::toRotationMatrix<Scalar,Dim>(r);
+  translation().setZero();
+  makeAffine();
+  return *this;
+}
+
+template<typename Scalar, int Dim, int Mode, int Options>
+template<typename Derived>
+EIGEN_DEVICE_FUNC inline Transform<Scalar,Dim,Mode,Options> Transform<Scalar,Dim,Mode,Options>::operator*(const RotationBase<Derived,Dim>& r) const
+{
+  Transform res = *this;
+  res.rotate(r.derived());
+  return res;
+}
+
+/************************
+*** Special functions ***
+************************/
+
+/** \returns the rotation part of the transformation
+  *
+  *
+  * \svd_module
+  *
+  * \sa computeRotationScaling(), computeScalingRotation(), class SVD
+  */
+template<typename Scalar, int Dim, int Mode, int Options>
+EIGEN_DEVICE_FUNC const typename Transform<Scalar,Dim,Mode,Options>::LinearMatrixType
+Transform<Scalar,Dim,Mode,Options>::rotation() const
+{
+  LinearMatrixType result;
+  computeRotationScaling(&result, (LinearMatrixType*)0);
+  return result;
+}
+
+
+/** decomposes the linear part of the transformation as a product rotation x scaling, the scaling being
+  * not necessarily positive.
+  *
+  * If either pointer is zero, the corresponding computation is skipped.
+  *
+  *
+  *
+  * \svd_module
+  *
+  * \sa computeScalingRotation(), rotation(), class SVD
+  */
+template<typename Scalar, int Dim, int Mode, int Options>
+template<typename RotationMatrixType, typename ScalingMatrixType>
+EIGEN_DEVICE_FUNC void Transform<Scalar,Dim,Mode,Options>::computeRotationScaling(RotationMatrixType *rotation, ScalingMatrixType *scaling) const
+{
+  JacobiSVD<LinearMatrixType> svd(linear(), ComputeFullU | ComputeFullV);
+
+  Scalar x = (svd.matrixU() * svd.matrixV().adjoint()).determinant(); // so x has absolute value 1
+  VectorType sv(svd.singularValues());
+  sv.coeffRef(0) *= x;
+  if(scaling) scaling->lazyAssign(svd.matrixV() * sv.asDiagonal() * svd.matrixV().adjoint());
+  if(rotation)
+  {
+    LinearMatrixType m(svd.matrixU());
+    m.col(0) /= x;
+    rotation->lazyAssign(m * svd.matrixV().adjoint());
+  }
+}
+
+/** decomposes the linear part of the transformation as a product scaling x rotation, the scaling being
+  * not necessarily positive.
+  *
+  * If either pointer is zero, the corresponding computation is skipped.
+  *
+  *
+  *
+  * \svd_module
+  *
+  * \sa computeRotationScaling(), rotation(), class SVD
+  */
+template<typename Scalar, int Dim, int Mode, int Options>
+template<typename ScalingMatrixType, typename RotationMatrixType>
+EIGEN_DEVICE_FUNC void Transform<Scalar,Dim,Mode,Options>::computeScalingRotation(ScalingMatrixType *scaling, RotationMatrixType *rotation) const
+{
+  JacobiSVD<LinearMatrixType> svd(linear(), ComputeFullU | ComputeFullV);
+
+  Scalar x = (svd.matrixU() * svd.matrixV().adjoint()).determinant(); // so x has absolute value 1
+  VectorType sv(svd.singularValues());
+  sv.coeffRef(0) *= x;
+  if(scaling) scaling->lazyAssign(svd.matrixU() * sv.asDiagonal() * svd.matrixU().adjoint());
+  if(rotation)
+  {
+    LinearMatrixType m(svd.matrixU());
+    m.col(0) /= x;
+    rotation->lazyAssign(m * svd.matrixV().adjoint());
+  }
+}
+
+/** Convenient method to set \c *this from a position, orientation and scale
+  * of a 3D object.
+  */
+template<typename Scalar, int Dim, int Mode, int Options>
+template<typename PositionDerived, typename OrientationType, typename ScaleDerived>
+EIGEN_DEVICE_FUNC Transform<Scalar,Dim,Mode,Options>&
+Transform<Scalar,Dim,Mode,Options>::fromPositionOrientationScale(const MatrixBase<PositionDerived> &position,
+  const OrientationType& orientation, const MatrixBase<ScaleDerived> &scale)
+{
+  linear() = internal::toRotationMatrix<Scalar,Dim>(orientation);
+  linear() *= scale.asDiagonal();
+  translation() = position;
+  makeAffine();
+  return *this;
+}
+
+namespace internal {
+
+template<int Mode>
+struct transform_make_affine
+{
+  template<typename MatrixType>
+  EIGEN_DEVICE_FUNC static void run(MatrixType &mat)
+  {
+    static const int Dim = MatrixType::ColsAtCompileTime-1;
+    mat.template block<1,Dim>(Dim,0).setZero();
+    mat.coeffRef(Dim,Dim) = typename MatrixType::Scalar(1);
+  }
+};
+
+template<>
+struct transform_make_affine<AffineCompact>
+{
+  template<typename MatrixType> EIGEN_DEVICE_FUNC static void run(MatrixType &) { }
+};
+    
+// selector needed to avoid taking the inverse of a 3x4 matrix
+template<typename TransformType, int Mode=TransformType::Mode>
+struct projective_transform_inverse
+{
+  EIGEN_DEVICE_FUNC static inline void run(const TransformType&, TransformType&)
+  {}
+};
+
+template<typename TransformType>
+struct projective_transform_inverse<TransformType, Projective>
+{
+  EIGEN_DEVICE_FUNC static inline void run(const TransformType& m, TransformType& res)
+  {
+    res.matrix() = m.matrix().inverse();
+  }
+};
+
+} // end namespace internal
+
+
+/**
+  *
+  * \returns the inverse transformation according to some given knowledge
+  * on \c *this.
+  *
+  * \param hint allows to optimize the inversion process when the transformation
+  * is known to be not a general transformation (optional). The possible values are:
+  *  - #Projective if the transformation is not necessarily affine, i.e., if the
+  *    last row is not guaranteed to be [0 ... 0 1]
+  *  - #Affine if the last row can be assumed to be [0 ... 0 1]
+  *  - #Isometry if the transformation is only a concatenations of translations
+  *    and rotations.
+  *  The default is the template class parameter \c Mode.
+  *
+  * \warning unless \a traits is always set to NoShear or NoScaling, this function
+  * requires the generic inverse method of MatrixBase defined in the LU module. If
+  * you forget to include this module, then you will get hard to debug linking errors.
+  *
+  * \sa MatrixBase::inverse()
+  */
+template<typename Scalar, int Dim, int Mode, int Options>
+EIGEN_DEVICE_FUNC Transform<Scalar,Dim,Mode,Options>
+Transform<Scalar,Dim,Mode,Options>::inverse(TransformTraits hint) const
+{
+  Transform res;
+  if (hint == Projective)
+  {
+    internal::projective_transform_inverse<Transform>::run(*this, res);
+  }
+  else
+  {
+    if (hint == Isometry)
+    {
+      res.matrix().template topLeftCorner<Dim,Dim>() = linear().transpose();
+    }
+    else if(hint&Affine)
+    {
+      res.matrix().template topLeftCorner<Dim,Dim>() = linear().inverse();
+    }
+    else
+    {
+      eigen_assert(false && "Invalid transform traits in Transform::Inverse");
+    }
+    // translation and remaining parts
+    res.matrix().template topRightCorner<Dim,1>()
+      = - res.matrix().template topLeftCorner<Dim,Dim>() * translation();
+    res.makeAffine(); // we do need this, because in the beginning res is uninitialized
+  }
+  return res;
+}
+
+namespace internal {
+
+/*****************************************************
+*** Specializations of take affine part            ***
+*****************************************************/
+
+template<typename TransformType> struct transform_take_affine_part {
+  typedef typename TransformType::MatrixType MatrixType;
+  typedef typename TransformType::AffinePart AffinePart;
+  typedef typename TransformType::ConstAffinePart ConstAffinePart;
+  static inline AffinePart run(MatrixType& m)
+  { return m.template block<TransformType::Dim,TransformType::HDim>(0,0); }
+  static inline ConstAffinePart run(const MatrixType& m)
+  { return m.template block<TransformType::Dim,TransformType::HDim>(0,0); }
+};
+
+template<typename Scalar, int Dim, int Options>
+struct transform_take_affine_part<Transform<Scalar,Dim,AffineCompact, Options> > {
+  typedef typename Transform<Scalar,Dim,AffineCompact,Options>::MatrixType MatrixType;
+  static inline MatrixType& run(MatrixType& m) { return m; }
+  static inline const MatrixType& run(const MatrixType& m) { return m; }
+};
+
+/*****************************************************
+*** Specializations of construct from matrix       ***
+*****************************************************/
+
+template<typename Other, int Mode, int Options, int Dim, int HDim>
+struct transform_construct_from_matrix<Other, Mode,Options,Dim,HDim, Dim,Dim>
+{
+  static inline void run(Transform<typename Other::Scalar,Dim,Mode,Options> *transform, const Other& other)
+  {
+    transform->linear() = other;
+    transform->translation().setZero();
+    transform->makeAffine();
+  }
+};
+
+template<typename Other, int Mode, int Options, int Dim, int HDim>
+struct transform_construct_from_matrix<Other, Mode,Options,Dim,HDim, Dim,HDim>
+{
+  static inline void run(Transform<typename Other::Scalar,Dim,Mode,Options> *transform, const Other& other)
+  {
+    transform->affine() = other;
+    transform->makeAffine();
+  }
+};
+
+template<typename Other, int Mode, int Options, int Dim, int HDim>
+struct transform_construct_from_matrix<Other, Mode,Options,Dim,HDim, HDim,HDim>
+{
+  static inline void run(Transform<typename Other::Scalar,Dim,Mode,Options> *transform, const Other& other)
+  { transform->matrix() = other; }
+};
+
+template<typename Other, int Options, int Dim, int HDim>
+struct transform_construct_from_matrix<Other, AffineCompact,Options,Dim,HDim, HDim,HDim>
+{
+  static inline void run(Transform<typename Other::Scalar,Dim,AffineCompact,Options> *transform, const Other& other)
+  { transform->matrix() = other.template block<Dim,HDim>(0,0); }
+};
+
+/**********************************************************
+***   Specializations of operator* with rhs EigenBase   ***
+**********************************************************/
+
+template<int LhsMode,int RhsMode>
+struct transform_product_result
+{
+  enum 
+  { 
+    Mode =
+      (LhsMode == (int)Projective    || RhsMode == (int)Projective    ) ? Projective :
+      (LhsMode == (int)Affine        || RhsMode == (int)Affine        ) ? Affine :
+      (LhsMode == (int)AffineCompact || RhsMode == (int)AffineCompact ) ? AffineCompact :
+      (LhsMode == (int)Isometry      || RhsMode == (int)Isometry      ) ? Isometry : Projective
+  };
+};
+
+template< typename TransformType, typename MatrixType, int RhsCols>
+struct transform_right_product_impl< TransformType, MatrixType, 0, RhsCols>
+{
+  typedef typename MatrixType::PlainObject ResultType;
+
+  static EIGEN_STRONG_INLINE ResultType run(const TransformType& T, const MatrixType& other)
+  {
+    return T.matrix() * other;
+  }
+};
+
+template< typename TransformType, typename MatrixType, int RhsCols>
+struct transform_right_product_impl< TransformType, MatrixType, 1, RhsCols>
+{
+  enum { 
+    Dim = TransformType::Dim, 
+    HDim = TransformType::HDim,
+    OtherRows = MatrixType::RowsAtCompileTime,
+    OtherCols = MatrixType::ColsAtCompileTime
+  };
+
+  typedef typename MatrixType::PlainObject ResultType;
+
+  static EIGEN_STRONG_INLINE ResultType run(const TransformType& T, const MatrixType& other)
+  {
+    EIGEN_STATIC_ASSERT(OtherRows==HDim, YOU_MIXED_MATRICES_OF_DIFFERENT_SIZES);
+
+    typedef Block<ResultType, Dim, OtherCols, int(MatrixType::RowsAtCompileTime)==Dim> TopLeftLhs;
+
+    ResultType res(other.rows(),other.cols());
+    TopLeftLhs(res, 0, 0, Dim, other.cols()).noalias() = T.affine() * other;
+    res.row(OtherRows-1) = other.row(OtherRows-1);
+    
+    return res;
+  }
+};
+
+template< typename TransformType, typename MatrixType, int RhsCols>
+struct transform_right_product_impl< TransformType, MatrixType, 2, RhsCols>
+{
+  enum { 
+    Dim = TransformType::Dim, 
+    HDim = TransformType::HDim,
+    OtherRows = MatrixType::RowsAtCompileTime,
+    OtherCols = MatrixType::ColsAtCompileTime
+  };
+
+  typedef typename MatrixType::PlainObject ResultType;
+
+  static EIGEN_STRONG_INLINE ResultType run(const TransformType& T, const MatrixType& other)
+  {
+    EIGEN_STATIC_ASSERT(OtherRows==Dim, YOU_MIXED_MATRICES_OF_DIFFERENT_SIZES);
+
+    typedef Block<ResultType, Dim, OtherCols, true> TopLeftLhs;
+    ResultType res(Replicate<typename TransformType::ConstTranslationPart, 1, OtherCols>(T.translation(),1,other.cols()));
+    TopLeftLhs(res, 0, 0, Dim, other.cols()).noalias() += T.linear() * other;
+
+    return res;
+  }
+};
+
+template< typename TransformType, typename MatrixType >
+struct transform_right_product_impl< TransformType, MatrixType, 2, 1> // rhs is a vector of size Dim
+{
+  typedef typename TransformType::MatrixType TransformMatrix;
+  enum {
+    Dim = TransformType::Dim,
+    HDim = TransformType::HDim,
+    OtherRows = MatrixType::RowsAtCompileTime,
+    WorkingRows = EIGEN_PLAIN_ENUM_MIN(TransformMatrix::RowsAtCompileTime,HDim)
+  };
+
+  typedef typename MatrixType::PlainObject ResultType;
+
+  static EIGEN_STRONG_INLINE ResultType run(const TransformType& T, const MatrixType& other)
+  {
+    EIGEN_STATIC_ASSERT(OtherRows==Dim, YOU_MIXED_MATRICES_OF_DIFFERENT_SIZES);
+
+    Matrix<typename ResultType::Scalar, Dim+1, 1> rhs;
+    rhs.template head<Dim>() = other; rhs[Dim] = typename ResultType::Scalar(1);
+    Matrix<typename ResultType::Scalar, WorkingRows, 1> res(T.matrix() * rhs);
+    return res.template head<Dim>();
+  }
+};
+
+/**********************************************************
+***   Specializations of operator* with lhs EigenBase   ***
+**********************************************************/
+
+// generic HDim x HDim matrix * T => Projective
+template<typename Other,int Mode, int Options, int Dim, int HDim>
+struct transform_left_product_impl<Other,Mode,Options,Dim,HDim, HDim,HDim>
+{
+  typedef Transform<typename Other::Scalar,Dim,Mode,Options> TransformType;
+  typedef typename TransformType::MatrixType MatrixType;
+  typedef Transform<typename Other::Scalar,Dim,Projective,Options> ResultType;
+  static ResultType run(const Other& other,const TransformType& tr)
+  { return ResultType(other * tr.matrix()); }
+};
+
+// generic HDim x HDim matrix * AffineCompact => Projective
+template<typename Other, int Options, int Dim, int HDim>
+struct transform_left_product_impl<Other,AffineCompact,Options,Dim,HDim, HDim,HDim>
+{
+  typedef Transform<typename Other::Scalar,Dim,AffineCompact,Options> TransformType;
+  typedef typename TransformType::MatrixType MatrixType;
+  typedef Transform<typename Other::Scalar,Dim,Projective,Options> ResultType;
+  static ResultType run(const Other& other,const TransformType& tr)
+  {
+    ResultType res;
+    res.matrix().noalias() = other.template block<HDim,Dim>(0,0) * tr.matrix();
+    res.matrix().col(Dim) += other.col(Dim);
+    return res;
+  }
+};
+
+// affine matrix * T
+template<typename Other,int Mode, int Options, int Dim, int HDim>
+struct transform_left_product_impl<Other,Mode,Options,Dim,HDim, Dim,HDim>
+{
+  typedef Transform<typename Other::Scalar,Dim,Mode,Options> TransformType;
+  typedef typename TransformType::MatrixType MatrixType;
+  typedef TransformType ResultType;
+  static ResultType run(const Other& other,const TransformType& tr)
+  {
+    ResultType res;
+    res.affine().noalias() = other * tr.matrix();
+    res.matrix().row(Dim) = tr.matrix().row(Dim);
+    return res;
+  }
+};
+
+// affine matrix * AffineCompact
+template<typename Other, int Options, int Dim, int HDim>
+struct transform_left_product_impl<Other,AffineCompact,Options,Dim,HDim, Dim,HDim>
+{
+  typedef Transform<typename Other::Scalar,Dim,AffineCompact,Options> TransformType;
+  typedef typename TransformType::MatrixType MatrixType;
+  typedef TransformType ResultType;
+  static ResultType run(const Other& other,const TransformType& tr)
+  {
+    ResultType res;
+    res.matrix().noalias() = other.template block<Dim,Dim>(0,0) * tr.matrix();
+    res.translation() += other.col(Dim);
+    return res;
+  }
+};
+
+// linear matrix * T
+template<typename Other,int Mode, int Options, int Dim, int HDim>
+struct transform_left_product_impl<Other,Mode,Options,Dim,HDim, Dim,Dim>
+{
+  typedef Transform<typename Other::Scalar,Dim,Mode,Options> TransformType;
+  typedef typename TransformType::MatrixType MatrixType;
+  typedef TransformType ResultType;
+  static ResultType run(const Other& other, const TransformType& tr)
+  {
+    TransformType res;
+    if(Mode!=int(AffineCompact))
+      res.matrix().row(Dim) = tr.matrix().row(Dim);
+    res.matrix().template topRows<Dim>().noalias()
+      = other * tr.matrix().template topRows<Dim>();
+    return res;
+  }
+};
+
+/**********************************************************
+*** Specializations of operator* with another Transform ***
+**********************************************************/
+
+template<typename Scalar, int Dim, int LhsMode, int LhsOptions, int RhsMode, int RhsOptions>
+struct transform_transform_product_impl<Transform<Scalar,Dim,LhsMode,LhsOptions>,Transform<Scalar,Dim,RhsMode,RhsOptions>,false >
+{
+  enum { ResultMode = transform_product_result<LhsMode,RhsMode>::Mode };
+  typedef Transform<Scalar,Dim,LhsMode,LhsOptions> Lhs;
+  typedef Transform<Scalar,Dim,RhsMode,RhsOptions> Rhs;
+  typedef Transform<Scalar,Dim,ResultMode,LhsOptions> ResultType;
+  static ResultType run(const Lhs& lhs, const Rhs& rhs)
+  {
+    ResultType res;
+    res.linear() = lhs.linear() * rhs.linear();
+    res.translation() = lhs.linear() * rhs.translation() + lhs.translation();
+    res.makeAffine();
+    return res;
+  }
+};
+
+template<typename Scalar, int Dim, int LhsMode, int LhsOptions, int RhsMode, int RhsOptions>
+struct transform_transform_product_impl<Transform<Scalar,Dim,LhsMode,LhsOptions>,Transform<Scalar,Dim,RhsMode,RhsOptions>,true >
+{
+  typedef Transform<Scalar,Dim,LhsMode,LhsOptions> Lhs;
+  typedef Transform<Scalar,Dim,RhsMode,RhsOptions> Rhs;
+  typedef Transform<Scalar,Dim,Projective> ResultType;
+  static ResultType run(const Lhs& lhs, const Rhs& rhs)
+  {
+    return ResultType( lhs.matrix() * rhs.matrix() );
+  }
+};
+
+template<typename Scalar, int Dim, int LhsOptions, int RhsOptions>
+struct transform_transform_product_impl<Transform<Scalar,Dim,AffineCompact,LhsOptions>,Transform<Scalar,Dim,Projective,RhsOptions>,true >
+{
+  typedef Transform<Scalar,Dim,AffineCompact,LhsOptions> Lhs;
+  typedef Transform<Scalar,Dim,Projective,RhsOptions> Rhs;
+  typedef Transform<Scalar,Dim,Projective> ResultType;
+  static ResultType run(const Lhs& lhs, const Rhs& rhs)
+  {
+    ResultType res;
+    res.matrix().template topRows<Dim>() = lhs.matrix() * rhs.matrix();
+    res.matrix().row(Dim) = rhs.matrix().row(Dim);
+    return res;
+  }
+};
+
+template<typename Scalar, int Dim, int LhsOptions, int RhsOptions>
+struct transform_transform_product_impl<Transform<Scalar,Dim,Projective,LhsOptions>,Transform<Scalar,Dim,AffineCompact,RhsOptions>,true >
+{
+  typedef Transform<Scalar,Dim,Projective,LhsOptions> Lhs;
+  typedef Transform<Scalar,Dim,AffineCompact,RhsOptions> Rhs;
+  typedef Transform<Scalar,Dim,Projective> ResultType;
+  static ResultType run(const Lhs& lhs, const Rhs& rhs)
+  {
+    ResultType res(lhs.matrix().template leftCols<Dim>() * rhs.matrix());
+    res.matrix().col(Dim) += lhs.matrix().col(Dim);
+    return res;
+  }
+};
+
+} // end namespace internal
+
+} // end namespace Eigen
+
+#endif // EIGEN_TRANSFORM_H
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Geometry/AlignedBox.h
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Geometry/AlignedBox.h	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Geometry/AlignedBox.h	(revision 3761)
@@ -0,0 +1,392 @@
+// This file is part of Eigen, a lightweight C++ template library
+// for linear algebra.
+//
+// Copyright (C) 2008 Gael Guennebaud <gael.guennebaud@inria.fr>
+//
+// This Source Code Form is subject to the terms of the Mozilla
+// Public License v. 2.0. If a copy of the MPL was not distributed
+// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
+
+#ifndef EIGEN_ALIGNEDBOX_H
+#define EIGEN_ALIGNEDBOX_H
+
+namespace Eigen { 
+
+/** \geometry_module \ingroup Geometry_Module
+  *
+  *
+  * \class AlignedBox
+  *
+  * \brief An axis aligned box
+  *
+  * \tparam _Scalar the type of the scalar coefficients
+  * \tparam _AmbientDim the dimension of the ambient space, can be a compile time value or Dynamic.
+  *
+  * This class represents an axis aligned box as a pair of the minimal and maximal corners.
+  * \warning The result of most methods is undefined when applied to an empty box. You can check for empty boxes using isEmpty().
+  * \sa alignedboxtypedefs
+  */
+template <typename _Scalar, int _AmbientDim>
+class AlignedBox
+{
+public:
+EIGEN_MAKE_ALIGNED_OPERATOR_NEW_IF_VECTORIZABLE_FIXED_SIZE(_Scalar,_AmbientDim)
+  enum { AmbientDimAtCompileTime = _AmbientDim };
+  typedef _Scalar                                   Scalar;
+  typedef NumTraits<Scalar>                         ScalarTraits;
+  typedef Eigen::Index                              Index; ///< \deprecated since Eigen 3.3
+  typedef typename ScalarTraits::Real               RealScalar;
+  typedef typename ScalarTraits::NonInteger         NonInteger;
+  typedef Matrix<Scalar,AmbientDimAtCompileTime,1>  VectorType;
+  typedef CwiseBinaryOp<internal::scalar_sum_op<Scalar>, const VectorType, const VectorType> VectorTypeSum;
+
+  /** Define constants to name the corners of a 1D, 2D or 3D axis aligned bounding box */
+  enum CornerType
+  {
+    /** 1D names @{ */
+    Min=0, Max=1,
+    /** @} */
+
+    /** Identifier for 2D corner @{ */
+    BottomLeft=0, BottomRight=1,
+    TopLeft=2, TopRight=3,
+    /** @} */
+
+    /** Identifier for 3D corner  @{ */
+    BottomLeftFloor=0, BottomRightFloor=1,
+    TopLeftFloor=2, TopRightFloor=3,
+    BottomLeftCeil=4, BottomRightCeil=5,
+    TopLeftCeil=6, TopRightCeil=7
+    /** @} */
+  };
+
+
+  /** Default constructor initializing a null box. */
+  EIGEN_DEVICE_FUNC inline AlignedBox()
+  { if (AmbientDimAtCompileTime!=Dynamic) setEmpty(); }
+
+  /** Constructs a null box with \a _dim the dimension of the ambient space. */
+  EIGEN_DEVICE_FUNC inline explicit AlignedBox(Index _dim) : m_min(_dim), m_max(_dim)
+  { setEmpty(); }
+
+  /** Constructs a box with extremities \a _min and \a _max.
+   * \warning If either component of \a _min is larger than the same component of \a _max, the constructed box is empty. */
+  template<typename OtherVectorType1, typename OtherVectorType2>
+  EIGEN_DEVICE_FUNC inline AlignedBox(const OtherVectorType1& _min, const OtherVectorType2& _max) : m_min(_min), m_max(_max) {}
+
+  /** Constructs a box containing a single point \a p. */
+  template<typename Derived>
+  EIGEN_DEVICE_FUNC inline explicit AlignedBox(const MatrixBase<Derived>& p) : m_min(p), m_max(m_min)
+  { }
+
+  EIGEN_DEVICE_FUNC ~AlignedBox() {}
+
+  /** \returns the dimension in which the box holds */
+  EIGEN_DEVICE_FUNC inline Index dim() const { return AmbientDimAtCompileTime==Dynamic ? m_min.size() : Index(AmbientDimAtCompileTime); }
+
+  /** \deprecated use isEmpty() */
+  EIGEN_DEVICE_FUNC inline bool isNull() const { return isEmpty(); }
+
+  /** \deprecated use setEmpty() */
+  EIGEN_DEVICE_FUNC inline void setNull() { setEmpty(); }
+
+  /** \returns true if the box is empty.
+   * \sa setEmpty */
+  EIGEN_DEVICE_FUNC inline bool isEmpty() const { return (m_min.array() > m_max.array()).any(); }
+
+  /** Makes \c *this an empty box.
+   * \sa isEmpty */
+  EIGEN_DEVICE_FUNC inline void setEmpty()
+  {
+    m_min.setConstant( ScalarTraits::highest() );
+    m_max.setConstant( ScalarTraits::lowest() );
+  }
+
+  /** \returns the minimal corner */
+  EIGEN_DEVICE_FUNC inline const VectorType& (min)() const { return m_min; }
+  /** \returns a non const reference to the minimal corner */
+  EIGEN_DEVICE_FUNC inline VectorType& (min)() { return m_min; }
+  /** \returns the maximal corner */
+  EIGEN_DEVICE_FUNC inline const VectorType& (max)() const { return m_max; }
+  /** \returns a non const reference to the maximal corner */
+  EIGEN_DEVICE_FUNC inline VectorType& (max)() { return m_max; }
+
+  /** \returns the center of the box */
+  EIGEN_DEVICE_FUNC inline const EIGEN_EXPR_BINARYOP_SCALAR_RETURN_TYPE(VectorTypeSum, RealScalar, quotient)
+  center() const
+  { return (m_min+m_max)/RealScalar(2); }
+
+  /** \returns the lengths of the sides of the bounding box.
+    * Note that this function does not get the same
+    * result for integral or floating scalar types: see
+    */
+  EIGEN_DEVICE_FUNC inline const CwiseBinaryOp< internal::scalar_difference_op<Scalar,Scalar>, const VectorType, const VectorType> sizes() const
+  { return m_max - m_min; }
+
+  /** \returns the volume of the bounding box */
+  EIGEN_DEVICE_FUNC inline Scalar volume() const
+  { return sizes().prod(); }
+
+  /** \returns an expression for the bounding box diagonal vector
+    * if the length of the diagonal is needed: diagonal().norm()
+    * will provide it.
+    */
+  EIGEN_DEVICE_FUNC inline CwiseBinaryOp< internal::scalar_difference_op<Scalar,Scalar>, const VectorType, const VectorType> diagonal() const
+  { return sizes(); }
+
+  /** \returns the vertex of the bounding box at the corner defined by
+    * the corner-id corner. It works only for a 1D, 2D or 3D bounding box.
+    * For 1D bounding boxes corners are named by 2 enum constants:
+    * BottomLeft and BottomRight.
+    * For 2D bounding boxes, corners are named by 4 enum constants:
+    * BottomLeft, BottomRight, TopLeft, TopRight.
+    * For 3D bounding boxes, the following names are added:
+    * BottomLeftCeil, BottomRightCeil, TopLeftCeil, TopRightCeil.
+    */
+  EIGEN_DEVICE_FUNC inline VectorType corner(CornerType corner) const
+  {
+    EIGEN_STATIC_ASSERT(_AmbientDim <= 3, THIS_METHOD_IS_ONLY_FOR_VECTORS_OF_A_SPECIFIC_SIZE);
+
+    VectorType res;
+
+    Index mult = 1;
+    for(Index d=0; d<dim(); ++d)
+    {
+      if( mult & corner ) res[d] = m_max[d];
+      else                res[d] = m_min[d];
+      mult *= 2;
+    }
+    return res;
+  }
+
+  /** \returns a random point inside the bounding box sampled with
+   * a uniform distribution */
+  EIGEN_DEVICE_FUNC inline VectorType sample() const
+  {
+    VectorType r(dim());
+    for(Index d=0; d<dim(); ++d)
+    {
+      if(!ScalarTraits::IsInteger)
+      {
+        r[d] = m_min[d] + (m_max[d]-m_min[d])
+             * internal::random<Scalar>(Scalar(0), Scalar(1));
+      }
+      else
+        r[d] = internal::random(m_min[d], m_max[d]);
+    }
+    return r;
+  }
+
+  /** \returns true if the point \a p is inside the box \c *this. */
+  template<typename Derived>
+  EIGEN_DEVICE_FUNC inline bool contains(const MatrixBase<Derived>& p) const
+  {
+    typename internal::nested_eval<Derived,2>::type p_n(p.derived());
+    return (m_min.array()<=p_n.array()).all() && (p_n.array()<=m_max.array()).all();
+  }
+
+  /** \returns true if the box \a b is entirely inside the box \c *this. */
+  EIGEN_DEVICE_FUNC inline bool contains(const AlignedBox& b) const
+  { return (m_min.array()<=(b.min)().array()).all() && ((b.max)().array()<=m_max.array()).all(); }
+
+  /** \returns true if the box \a b is intersecting the box \c *this.
+   * \sa intersection, clamp */
+  EIGEN_DEVICE_FUNC inline bool intersects(const AlignedBox& b) const
+  { return (m_min.array()<=(b.max)().array()).all() && ((b.min)().array()<=m_max.array()).all(); }
+
+  /** Extends \c *this such that it contains the point \a p and returns a reference to \c *this.
+   * \sa extend(const AlignedBox&) */
+  template<typename Derived>
+  EIGEN_DEVICE_FUNC inline AlignedBox& extend(const MatrixBase<Derived>& p)
+  {
+    typename internal::nested_eval<Derived,2>::type p_n(p.derived());
+    m_min = m_min.cwiseMin(p_n);
+    m_max = m_max.cwiseMax(p_n);
+    return *this;
+  }
+
+  /** Extends \c *this such that it contains the box \a b and returns a reference to \c *this.
+   * \sa merged, extend(const MatrixBase&) */
+  EIGEN_DEVICE_FUNC inline AlignedBox& extend(const AlignedBox& b)
+  {
+    m_min = m_min.cwiseMin(b.m_min);
+    m_max = m_max.cwiseMax(b.m_max);
+    return *this;
+  }
+
+  /** Clamps \c *this by the box \a b and returns a reference to \c *this.
+   * \note If the boxes don't intersect, the resulting box is empty.
+   * \sa intersection(), intersects() */
+  EIGEN_DEVICE_FUNC inline AlignedBox& clamp(const AlignedBox& b)
+  {
+    m_min = m_min.cwiseMax(b.m_min);
+    m_max = m_max.cwiseMin(b.m_max);
+    return *this;
+  }
+
+  /** Returns an AlignedBox that is the intersection of \a b and \c *this
+   * \note If the boxes don't intersect, the resulting box is empty.
+   * \sa intersects(), clamp, contains()  */
+  EIGEN_DEVICE_FUNC inline AlignedBox intersection(const AlignedBox& b) const
+  {return AlignedBox(m_min.cwiseMax(b.m_min), m_max.cwiseMin(b.m_max)); }
+
+  /** Returns an AlignedBox that is the union of \a b and \c *this.
+   * \note Merging with an empty box may result in a box bigger than \c *this. 
+   * \sa extend(const AlignedBox&) */
+  EIGEN_DEVICE_FUNC inline AlignedBox merged(const AlignedBox& b) const
+  { return AlignedBox(m_min.cwiseMin(b.m_min), m_max.cwiseMax(b.m_max)); }
+
+  /** Translate \c *this by the vector \a t and returns a reference to \c *this. */
+  template<typename Derived>
+  EIGEN_DEVICE_FUNC inline AlignedBox& translate(const MatrixBase<Derived>& a_t)
+  {
+    const typename internal::nested_eval<Derived,2>::type t(a_t.derived());
+    m_min += t;
+    m_max += t;
+    return *this;
+  }
+
+  /** \returns the squared distance between the point \a p and the box \c *this,
+    * and zero if \a p is inside the box.
+    * \sa exteriorDistance(const MatrixBase&), squaredExteriorDistance(const AlignedBox&)
+    */
+  template<typename Derived>
+  EIGEN_DEVICE_FUNC inline Scalar squaredExteriorDistance(const MatrixBase<Derived>& p) const;
+
+  /** \returns the squared distance between the boxes \a b and \c *this,
+    * and zero if the boxes intersect.
+    * \sa exteriorDistance(const AlignedBox&), squaredExteriorDistance(const MatrixBase&)
+    */
+  EIGEN_DEVICE_FUNC inline Scalar squaredExteriorDistance(const AlignedBox& b) const;
+
+  /** \returns the distance between the point \a p and the box \c *this,
+    * and zero if \a p is inside the box.
+    * \sa squaredExteriorDistance(const MatrixBase&), exteriorDistance(const AlignedBox&)
+    */
+  template<typename Derived>
+  EIGEN_DEVICE_FUNC inline NonInteger exteriorDistance(const MatrixBase<Derived>& p) const
+  { EIGEN_USING_STD_MATH(sqrt) return sqrt(NonInteger(squaredExteriorDistance(p))); }
+
+  /** \returns the distance between the boxes \a b and \c *this,
+    * and zero if the boxes intersect.
+    * \sa squaredExteriorDistance(const AlignedBox&), exteriorDistance(const MatrixBase&)
+    */
+  EIGEN_DEVICE_FUNC inline NonInteger exteriorDistance(const AlignedBox& b) const
+  { EIGEN_USING_STD_MATH(sqrt) return sqrt(NonInteger(squaredExteriorDistance(b))); }
+
+  /** \returns \c *this with scalar type casted to \a NewScalarType
+    *
+    * Note that if \a NewScalarType is equal to the current scalar type of \c *this
+    * then this function smartly returns a const reference to \c *this.
+    */
+  template<typename NewScalarType>
+  EIGEN_DEVICE_FUNC inline typename internal::cast_return_type<AlignedBox,
+           AlignedBox<NewScalarType,AmbientDimAtCompileTime> >::type cast() const
+  {
+    return typename internal::cast_return_type<AlignedBox,
+                    AlignedBox<NewScalarType,AmbientDimAtCompileTime> >::type(*this);
+  }
+
+  /** Copy constructor with scalar type conversion */
+  template<typename OtherScalarType>
+  EIGEN_DEVICE_FUNC inline explicit AlignedBox(const AlignedBox<OtherScalarType,AmbientDimAtCompileTime>& other)
+  {
+    m_min = (other.min)().template cast<Scalar>();
+    m_max = (other.max)().template cast<Scalar>();
+  }
+
+  /** \returns \c true if \c *this is approximately equal to \a other, within the precision
+    * determined by \a prec.
+    *
+    * \sa MatrixBase::isApprox() */
+  EIGEN_DEVICE_FUNC bool isApprox(const AlignedBox& other, const RealScalar& prec = ScalarTraits::dummy_precision()) const
+  { return m_min.isApprox(other.m_min, prec) && m_max.isApprox(other.m_max, prec); }
+
+protected:
+
+  VectorType m_min, m_max;
+};
+
+
+
+template<typename Scalar,int AmbientDim>
+template<typename Derived>
+EIGEN_DEVICE_FUNC inline Scalar AlignedBox<Scalar,AmbientDim>::squaredExteriorDistance(const MatrixBase<Derived>& a_p) const
+{
+  typename internal::nested_eval<Derived,2*AmbientDim>::type p(a_p.derived());
+  Scalar dist2(0);
+  Scalar aux;
+  for (Index k=0; k<dim(); ++k)
+  {
+    if( m_min[k] > p[k] )
+    {
+      aux = m_min[k] - p[k];
+      dist2 += aux*aux;
+    }
+    else if( p[k] > m_max[k] )
+    {
+      aux = p[k] - m_max[k];
+      dist2 += aux*aux;
+    }
+  }
+  return dist2;
+}
+
+template<typename Scalar,int AmbientDim>
+EIGEN_DEVICE_FUNC inline Scalar AlignedBox<Scalar,AmbientDim>::squaredExteriorDistance(const AlignedBox& b) const
+{
+  Scalar dist2(0);
+  Scalar aux;
+  for (Index k=0; k<dim(); ++k)
+  {
+    if( m_min[k] > b.m_max[k] )
+    {
+      aux = m_min[k] - b.m_max[k];
+      dist2 += aux*aux;
+    }
+    else if( b.m_min[k] > m_max[k] )
+    {
+      aux = b.m_min[k] - m_max[k];
+      dist2 += aux*aux;
+    }
+  }
+  return dist2;
+}
+
+/** \defgroup alignedboxtypedefs Global aligned box typedefs
+  *
+  * \ingroup Geometry_Module
+  *
+  * Eigen defines several typedef shortcuts for most common aligned box types.
+  *
+  * The general patterns are the following:
+  *
+  * \c AlignedBoxSizeType where \c Size can be \c 1, \c 2,\c 3,\c 4 for fixed size boxes or \c X for dynamic size,
+  * and where \c Type can be \c i for integer, \c f for float, \c d for double.
+  *
+  * For example, \c AlignedBox3d is a fixed-size 3x3 aligned box type of doubles, and \c AlignedBoxXf is a dynamic-size aligned box of floats.
+  *
+  * \sa class AlignedBox
+  */
+
+#define EIGEN_MAKE_TYPEDEFS(Type, TypeSuffix, Size, SizeSuffix)    \
+/** \ingroup alignedboxtypedefs */                                 \
+typedef AlignedBox<Type, Size>   AlignedBox##SizeSuffix##TypeSuffix;
+
+#define EIGEN_MAKE_TYPEDEFS_ALL_SIZES(Type, TypeSuffix) \
+EIGEN_MAKE_TYPEDEFS(Type, TypeSuffix, 1, 1) \
+EIGEN_MAKE_TYPEDEFS(Type, TypeSuffix, 2, 2) \
+EIGEN_MAKE_TYPEDEFS(Type, TypeSuffix, 3, 3) \
+EIGEN_MAKE_TYPEDEFS(Type, TypeSuffix, 4, 4) \
+EIGEN_MAKE_TYPEDEFS(Type, TypeSuffix, Dynamic, X)
+
+EIGEN_MAKE_TYPEDEFS_ALL_SIZES(int,                  i)
+EIGEN_MAKE_TYPEDEFS_ALL_SIZES(float,                f)
+EIGEN_MAKE_TYPEDEFS_ALL_SIZES(double,               d)
+
+#undef EIGEN_MAKE_TYPEDEFS_ALL_SIZES
+#undef EIGEN_MAKE_TYPEDEFS
+
+} // end namespace Eigen
+
+#endif // EIGEN_ALIGNEDBOX_H
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Geometry/Translation.h
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Geometry/Translation.h	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Geometry/Translation.h	(revision 3761)
@@ -0,0 +1,202 @@
+// This file is part of Eigen, a lightweight C++ template library
+// for linear algebra.
+//
+// Copyright (C) 2008 Gael Guennebaud <gael.guennebaud@inria.fr>
+//
+// This Source Code Form is subject to the terms of the Mozilla
+// Public License v. 2.0. If a copy of the MPL was not distributed
+// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
+
+#ifndef EIGEN_TRANSLATION_H
+#define EIGEN_TRANSLATION_H
+
+namespace Eigen { 
+
+/** \geometry_module \ingroup Geometry_Module
+  *
+  * \class Translation
+  *
+  * \brief Represents a translation transformation
+  *
+  * \tparam _Scalar the scalar type, i.e., the type of the coefficients.
+  * \tparam _Dim the  dimension of the space, can be a compile time value or Dynamic
+  *
+  * \note This class is not aimed to be used to store a translation transformation,
+  * but rather to make easier the constructions and updates of Transform objects.
+  *
+  * \sa class Scaling, class Transform
+  */
+template<typename _Scalar, int _Dim>
+class Translation
+{
+public:
+  EIGEN_MAKE_ALIGNED_OPERATOR_NEW_IF_VECTORIZABLE_FIXED_SIZE(_Scalar,_Dim)
+  /** dimension of the space */
+  enum { Dim = _Dim };
+  /** the scalar type of the coefficients */
+  typedef _Scalar Scalar;
+  /** corresponding vector type */
+  typedef Matrix<Scalar,Dim,1> VectorType;
+  /** corresponding linear transformation matrix type */
+  typedef Matrix<Scalar,Dim,Dim> LinearMatrixType;
+  /** corresponding affine transformation type */
+  typedef Transform<Scalar,Dim,Affine> AffineTransformType;
+  /** corresponding isometric transformation type */
+  typedef Transform<Scalar,Dim,Isometry> IsometryTransformType;
+
+protected:
+
+  VectorType m_coeffs;
+
+public:
+
+  /** Default constructor without initialization. */
+  EIGEN_DEVICE_FUNC Translation() {}
+  /**  */
+  EIGEN_DEVICE_FUNC inline Translation(const Scalar& sx, const Scalar& sy)
+  {
+    eigen_assert(Dim==2);
+    m_coeffs.x() = sx;
+    m_coeffs.y() = sy;
+  }
+  /**  */
+  EIGEN_DEVICE_FUNC inline Translation(const Scalar& sx, const Scalar& sy, const Scalar& sz)
+  {
+    eigen_assert(Dim==3);
+    m_coeffs.x() = sx;
+    m_coeffs.y() = sy;
+    m_coeffs.z() = sz;
+  }
+  /** Constructs and initialize the translation transformation from a vector of translation coefficients */
+  EIGEN_DEVICE_FUNC explicit inline Translation(const VectorType& vector) : m_coeffs(vector) {}
+
+  /** \brief Retruns the x-translation by value. **/
+  EIGEN_DEVICE_FUNC inline Scalar x() const { return m_coeffs.x(); }
+  /** \brief Retruns the y-translation by value. **/
+  EIGEN_DEVICE_FUNC inline Scalar y() const { return m_coeffs.y(); }
+  /** \brief Retruns the z-translation by value. **/
+  EIGEN_DEVICE_FUNC inline Scalar z() const { return m_coeffs.z(); }
+
+  /** \brief Retruns the x-translation as a reference. **/
+  EIGEN_DEVICE_FUNC inline Scalar& x() { return m_coeffs.x(); }
+  /** \brief Retruns the y-translation as a reference. **/
+  EIGEN_DEVICE_FUNC inline Scalar& y() { return m_coeffs.y(); }
+  /** \brief Retruns the z-translation as a reference. **/
+  EIGEN_DEVICE_FUNC inline Scalar& z() { return m_coeffs.z(); }
+
+  EIGEN_DEVICE_FUNC const VectorType& vector() const { return m_coeffs; }
+  EIGEN_DEVICE_FUNC VectorType& vector() { return m_coeffs; }
+
+  EIGEN_DEVICE_FUNC const VectorType& translation() const { return m_coeffs; }
+  EIGEN_DEVICE_FUNC VectorType& translation() { return m_coeffs; }
+
+  /** Concatenates two translation */
+  EIGEN_DEVICE_FUNC inline Translation operator* (const Translation& other) const
+  { return Translation(m_coeffs + other.m_coeffs); }
+
+  /** Concatenates a translation and a uniform scaling */
+  EIGEN_DEVICE_FUNC inline AffineTransformType operator* (const UniformScaling<Scalar>& other) const;
+
+  /** Concatenates a translation and a linear transformation */
+  template<typename OtherDerived>
+  EIGEN_DEVICE_FUNC inline AffineTransformType operator* (const EigenBase<OtherDerived>& linear) const;
+
+  /** Concatenates a translation and a rotation */
+  template<typename Derived>
+  EIGEN_DEVICE_FUNC inline IsometryTransformType operator*(const RotationBase<Derived,Dim>& r) const
+  { return *this * IsometryTransformType(r); }
+
+  /** \returns the concatenation of a linear transformation \a l with the translation \a t */
+  // its a nightmare to define a templated friend function outside its declaration
+  template<typename OtherDerived> friend
+  EIGEN_DEVICE_FUNC inline AffineTransformType operator*(const EigenBase<OtherDerived>& linear, const Translation& t)
+  {
+    AffineTransformType res;
+    res.matrix().setZero();
+    res.linear() = linear.derived();
+    res.translation() = linear.derived() * t.m_coeffs;
+    res.matrix().row(Dim).setZero();
+    res(Dim,Dim) = Scalar(1);
+    return res;
+  }
+
+  /** Concatenates a translation and a transformation */
+  template<int Mode, int Options>
+  EIGEN_DEVICE_FUNC inline Transform<Scalar,Dim,Mode> operator* (const Transform<Scalar,Dim,Mode,Options>& t) const
+  {
+    Transform<Scalar,Dim,Mode> res = t;
+    res.pretranslate(m_coeffs);
+    return res;
+  }
+
+  /** Applies translation to vector */
+  template<typename Derived>
+  inline typename internal::enable_if<Derived::IsVectorAtCompileTime,VectorType>::type
+  operator* (const MatrixBase<Derived>& vec) const
+  { return m_coeffs + vec.derived(); }
+
+  /** \returns the inverse translation (opposite) */
+  Translation inverse() const { return Translation(-m_coeffs); }
+
+  static const Translation Identity() { return Translation(VectorType::Zero()); }
+
+  /** \returns \c *this with scalar type casted to \a NewScalarType
+    *
+    * Note that if \a NewScalarType is equal to the current scalar type of \c *this
+    * then this function smartly returns a const reference to \c *this.
+    */
+  template<typename NewScalarType>
+  EIGEN_DEVICE_FUNC inline typename internal::cast_return_type<Translation,Translation<NewScalarType,Dim> >::type cast() const
+  { return typename internal::cast_return_type<Translation,Translation<NewScalarType,Dim> >::type(*this); }
+
+  /** Copy constructor with scalar type conversion */
+  template<typename OtherScalarType>
+  EIGEN_DEVICE_FUNC inline explicit Translation(const Translation<OtherScalarType,Dim>& other)
+  { m_coeffs = other.vector().template cast<Scalar>(); }
+
+  /** \returns \c true if \c *this is approximately equal to \a other, within the precision
+    * determined by \a prec.
+    *
+    * \sa MatrixBase::isApprox() */
+  EIGEN_DEVICE_FUNC bool isApprox(const Translation& other, const typename NumTraits<Scalar>::Real& prec = NumTraits<Scalar>::dummy_precision()) const
+  { return m_coeffs.isApprox(other.m_coeffs, prec); }
+
+};
+
+/** \addtogroup Geometry_Module */
+//@{
+typedef Translation<float, 2> Translation2f;
+typedef Translation<double,2> Translation2d;
+typedef Translation<float, 3> Translation3f;
+typedef Translation<double,3> Translation3d;
+//@}
+
+template<typename Scalar, int Dim>
+EIGEN_DEVICE_FUNC inline typename Translation<Scalar,Dim>::AffineTransformType
+Translation<Scalar,Dim>::operator* (const UniformScaling<Scalar>& other) const
+{
+  AffineTransformType res;
+  res.matrix().setZero();
+  res.linear().diagonal().fill(other.factor());
+  res.translation() = m_coeffs;
+  res(Dim,Dim) = Scalar(1);
+  return res;
+}
+
+template<typename Scalar, int Dim>
+template<typename OtherDerived>
+EIGEN_DEVICE_FUNC inline typename Translation<Scalar,Dim>::AffineTransformType
+Translation<Scalar,Dim>::operator* (const EigenBase<OtherDerived>& linear) const
+{
+  AffineTransformType res;
+  res.matrix().setZero();
+  res.linear() = linear.derived();
+  res.translation() = m_coeffs;
+  res.matrix().row(Dim).setZero();
+  res(Dim,Dim) = Scalar(1);
+  return res;
+}
+
+} // end namespace Eigen
+
+#endif // EIGEN_TRANSLATION_H
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Geometry/Umeyama.h
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Geometry/Umeyama.h	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Geometry/Umeyama.h	(revision 3761)
@@ -0,0 +1,166 @@
+// This file is part of Eigen, a lightweight C++ template library
+// for linear algebra.
+//
+// Copyright (C) 2009 Hauke Heibel <hauke.heibel@gmail.com>
+//
+// This Source Code Form is subject to the terms of the Mozilla
+// Public License v. 2.0. If a copy of the MPL was not distributed
+// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
+
+#ifndef EIGEN_UMEYAMA_H
+#define EIGEN_UMEYAMA_H
+
+// This file requires the user to include 
+// * Eigen/Core
+// * Eigen/LU 
+// * Eigen/SVD
+// * Eigen/Array
+
+namespace Eigen { 
+
+#ifndef EIGEN_PARSED_BY_DOXYGEN
+
+// These helpers are required since it allows to use mixed types as parameters
+// for the Umeyama. The problem with mixed parameters is that the return type
+// cannot trivially be deduced when float and double types are mixed.
+namespace internal {
+
+// Compile time return type deduction for different MatrixBase types.
+// Different means here different alignment and parameters but the same underlying
+// real scalar type.
+template<typename MatrixType, typename OtherMatrixType>
+struct umeyama_transform_matrix_type
+{
+  enum {
+    MinRowsAtCompileTime = EIGEN_SIZE_MIN_PREFER_DYNAMIC(MatrixType::RowsAtCompileTime, OtherMatrixType::RowsAtCompileTime),
+
+    // When possible we want to choose some small fixed size value since the result
+    // is likely to fit on the stack. So here, EIGEN_SIZE_MIN_PREFER_DYNAMIC is not what we want.
+    HomogeneousDimension = int(MinRowsAtCompileTime) == Dynamic ? Dynamic : int(MinRowsAtCompileTime)+1
+  };
+
+  typedef Matrix<typename traits<MatrixType>::Scalar,
+    HomogeneousDimension,
+    HomogeneousDimension,
+    AutoAlign | (traits<MatrixType>::Flags & RowMajorBit ? RowMajor : ColMajor),
+    HomogeneousDimension,
+    HomogeneousDimension
+  > type;
+};
+
+}
+
+#endif
+
+/**
+* \geometry_module \ingroup Geometry_Module
+*
+* \brief Returns the transformation between two point sets.
+*
+* The algorithm is based on:
+* "Least-squares estimation of transformation parameters between two point patterns",
+* Shinji Umeyama, PAMI 1991, DOI: 10.1109/34.88573
+*
+* It estimates parameters \f$ c, \mathbf{R}, \f$ and \f$ \mathbf{t} \f$ such that
+* \f{align*}
+*   \frac{1}{n} \sum_{i=1}^n \vert\vert y_i - (c\mathbf{R}x_i + \mathbf{t}) \vert\vert_2^2
+* \f}
+* is minimized.
+*
+* The algorithm is based on the analysis of the covariance matrix
+* \f$ \Sigma_{\mathbf{x}\mathbf{y}} \in \mathbb{R}^{d \times d} \f$
+* of the input point sets \f$ \mathbf{x} \f$ and \f$ \mathbf{y} \f$ where 
+* \f$d\f$ is corresponding to the dimension (which is typically small).
+* The analysis is involving the SVD having a complexity of \f$O(d^3)\f$
+* though the actual computational effort lies in the covariance
+* matrix computation which has an asymptotic lower bound of \f$O(dm)\f$ when 
+* the input point sets have dimension \f$d \times m\f$.
+*
+* Currently the method is working only for floating point matrices.
+*
+* \todo Should the return type of umeyama() become a Transform?
+*
+* \param src Source points \f$ \mathbf{x} = \left( x_1, \hdots, x_n \right) \f$.
+* \param dst Destination points \f$ \mathbf{y} = \left( y_1, \hdots, y_n \right) \f$.
+* \param with_scaling Sets \f$ c=1 \f$ when <code>false</code> is passed.
+* \return The homogeneous transformation 
+* \f{align*}
+*   T = \begin{bmatrix} c\mathbf{R} & \mathbf{t} \\ \mathbf{0} & 1 \end{bmatrix}
+* \f}
+* minimizing the residual above. This transformation is always returned as an 
+* Eigen::Matrix.
+*/
+template <typename Derived, typename OtherDerived>
+typename internal::umeyama_transform_matrix_type<Derived, OtherDerived>::type
+umeyama(const MatrixBase<Derived>& src, const MatrixBase<OtherDerived>& dst, bool with_scaling = true)
+{
+  typedef typename internal::umeyama_transform_matrix_type<Derived, OtherDerived>::type TransformationMatrixType;
+  typedef typename internal::traits<TransformationMatrixType>::Scalar Scalar;
+  typedef typename NumTraits<Scalar>::Real RealScalar;
+
+  EIGEN_STATIC_ASSERT(!NumTraits<Scalar>::IsComplex, NUMERIC_TYPE_MUST_BE_REAL)
+  EIGEN_STATIC_ASSERT((internal::is_same<Scalar, typename internal::traits<OtherDerived>::Scalar>::value),
+    YOU_MIXED_DIFFERENT_NUMERIC_TYPES__YOU_NEED_TO_USE_THE_CAST_METHOD_OF_MATRIXBASE_TO_CAST_NUMERIC_TYPES_EXPLICITLY)
+
+  enum { Dimension = EIGEN_SIZE_MIN_PREFER_DYNAMIC(Derived::RowsAtCompileTime, OtherDerived::RowsAtCompileTime) };
+
+  typedef Matrix<Scalar, Dimension, 1> VectorType;
+  typedef Matrix<Scalar, Dimension, Dimension> MatrixType;
+  typedef typename internal::plain_matrix_type_row_major<Derived>::type RowMajorMatrixType;
+
+  const Index m = src.rows(); // dimension
+  const Index n = src.cols(); // number of measurements
+
+  // required for demeaning ...
+  const RealScalar one_over_n = RealScalar(1) / static_cast<RealScalar>(n);
+
+  // computation of mean
+  const VectorType src_mean = src.rowwise().sum() * one_over_n;
+  const VectorType dst_mean = dst.rowwise().sum() * one_over_n;
+
+  // demeaning of src and dst points
+  const RowMajorMatrixType src_demean = src.colwise() - src_mean;
+  const RowMajorMatrixType dst_demean = dst.colwise() - dst_mean;
+
+  // Eq. (36)-(37)
+  const Scalar src_var = src_demean.rowwise().squaredNorm().sum() * one_over_n;
+
+  // Eq. (38)
+  const MatrixType sigma = one_over_n * dst_demean * src_demean.transpose();
+
+  JacobiSVD<MatrixType> svd(sigma, ComputeFullU | ComputeFullV);
+
+  // Initialize the resulting transformation with an identity matrix...
+  TransformationMatrixType Rt = TransformationMatrixType::Identity(m+1,m+1);
+
+  // Eq. (39)
+  VectorType S = VectorType::Ones(m);
+
+  if  ( svd.matrixU().determinant() * svd.matrixV().determinant() < 0 )
+    S(m-1) = -1;
+
+  // Eq. (40) and (43)
+  Rt.block(0,0,m,m).noalias() = svd.matrixU() * S.asDiagonal() * svd.matrixV().transpose();
+
+  if (with_scaling)
+  {
+    // Eq. (42)
+    const Scalar c = Scalar(1)/src_var * svd.singularValues().dot(S);
+
+    // Eq. (41)
+    Rt.col(m).head(m) = dst_mean;
+    Rt.col(m).head(m).noalias() -= c*Rt.topLeftCorner(m,m)*src_mean;
+    Rt.block(0,0,m,m) *= c;
+  }
+  else
+  {
+    Rt.col(m).head(m) = dst_mean;
+    Rt.col(m).head(m).noalias() -= Rt.topLeftCorner(m,m)*src_mean;
+  }
+
+  return Rt;
+}
+
+} // end namespace Eigen
+
+#endif // EIGEN_UMEYAMA_H
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Geometry/OrthoMethods.h
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Geometry/OrthoMethods.h	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Geometry/OrthoMethods.h	(revision 3761)
@@ -0,0 +1,234 @@
+// This file is part of Eigen, a lightweight C++ template library
+// for linear algebra.
+//
+// Copyright (C) 2008-2009 Gael Guennebaud <gael.guennebaud@inria.fr>
+// Copyright (C) 2006-2008 Benoit Jacob <jacob.benoit.1@gmail.com>
+//
+// This Source Code Form is subject to the terms of the Mozilla
+// Public License v. 2.0. If a copy of the MPL was not distributed
+// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
+
+#ifndef EIGEN_ORTHOMETHODS_H
+#define EIGEN_ORTHOMETHODS_H
+
+namespace Eigen { 
+
+/** \geometry_module \ingroup Geometry_Module
+  *
+  * \returns the cross product of \c *this and \a other
+  *
+  * Here is a very good explanation of cross-product: http://xkcd.com/199/
+  * 
+  * With complex numbers, the cross product is implemented as
+  * \f$ (\mathbf{a}+i\mathbf{b}) \times (\mathbf{c}+i\mathbf{d}) = (\mathbf{a} \times \mathbf{c} - \mathbf{b} \times \mathbf{d}) - i(\mathbf{a} \times \mathbf{d} - \mathbf{b} \times \mathbf{c})\f$
+  * 
+  * \sa MatrixBase::cross3()
+  */
+template<typename Derived>
+template<typename OtherDerived>
+#ifndef EIGEN_PARSED_BY_DOXYGEN
+EIGEN_DEVICE_FUNC inline typename MatrixBase<Derived>::template cross_product_return_type<OtherDerived>::type
+#else
+inline typename MatrixBase<Derived>::PlainObject
+#endif
+MatrixBase<Derived>::cross(const MatrixBase<OtherDerived>& other) const
+{
+  EIGEN_STATIC_ASSERT_VECTOR_SPECIFIC_SIZE(Derived,3)
+  EIGEN_STATIC_ASSERT_VECTOR_SPECIFIC_SIZE(OtherDerived,3)
+
+  // Note that there is no need for an expression here since the compiler
+  // optimize such a small temporary very well (even within a complex expression)
+  typename internal::nested_eval<Derived,2>::type lhs(derived());
+  typename internal::nested_eval<OtherDerived,2>::type rhs(other.derived());
+  return typename cross_product_return_type<OtherDerived>::type(
+    numext::conj(lhs.coeff(1) * rhs.coeff(2) - lhs.coeff(2) * rhs.coeff(1)),
+    numext::conj(lhs.coeff(2) * rhs.coeff(0) - lhs.coeff(0) * rhs.coeff(2)),
+    numext::conj(lhs.coeff(0) * rhs.coeff(1) - lhs.coeff(1) * rhs.coeff(0))
+  );
+}
+
+namespace internal {
+
+template< int Arch,typename VectorLhs,typename VectorRhs,
+          typename Scalar = typename VectorLhs::Scalar,
+          bool Vectorizable = bool((VectorLhs::Flags&VectorRhs::Flags)&PacketAccessBit)>
+struct cross3_impl {
+  EIGEN_DEVICE_FUNC static inline typename internal::plain_matrix_type<VectorLhs>::type
+  run(const VectorLhs& lhs, const VectorRhs& rhs)
+  {
+    return typename internal::plain_matrix_type<VectorLhs>::type(
+      numext::conj(lhs.coeff(1) * rhs.coeff(2) - lhs.coeff(2) * rhs.coeff(1)),
+      numext::conj(lhs.coeff(2) * rhs.coeff(0) - lhs.coeff(0) * rhs.coeff(2)),
+      numext::conj(lhs.coeff(0) * rhs.coeff(1) - lhs.coeff(1) * rhs.coeff(0)),
+      0
+    );
+  }
+};
+
+}
+
+/** \geometry_module \ingroup Geometry_Module
+  *
+  * \returns the cross product of \c *this and \a other using only the x, y, and z coefficients
+  *
+  * The size of \c *this and \a other must be four. This function is especially useful
+  * when using 4D vectors instead of 3D ones to get advantage of SSE/AltiVec vectorization.
+  *
+  * \sa MatrixBase::cross()
+  */
+template<typename Derived>
+template<typename OtherDerived>
+EIGEN_DEVICE_FUNC inline typename MatrixBase<Derived>::PlainObject
+MatrixBase<Derived>::cross3(const MatrixBase<OtherDerived>& other) const
+{
+  EIGEN_STATIC_ASSERT_VECTOR_SPECIFIC_SIZE(Derived,4)
+  EIGEN_STATIC_ASSERT_VECTOR_SPECIFIC_SIZE(OtherDerived,4)
+
+  typedef typename internal::nested_eval<Derived,2>::type DerivedNested;
+  typedef typename internal::nested_eval<OtherDerived,2>::type OtherDerivedNested;
+  DerivedNested lhs(derived());
+  OtherDerivedNested rhs(other.derived());
+
+  return internal::cross3_impl<Architecture::Target,
+                        typename internal::remove_all<DerivedNested>::type,
+                        typename internal::remove_all<OtherDerivedNested>::type>::run(lhs,rhs);
+}
+
+/** \geometry_module \ingroup Geometry_Module
+  *
+  * \returns a matrix expression of the cross product of each column or row
+  * of the referenced expression with the \a other vector.
+  *
+  * The referenced matrix must have one dimension equal to 3.
+  * The result matrix has the same dimensions than the referenced one.
+  *
+  * \sa MatrixBase::cross() */
+template<typename ExpressionType, int Direction>
+template<typename OtherDerived>
+EIGEN_DEVICE_FUNC 
+const typename VectorwiseOp<ExpressionType,Direction>::CrossReturnType
+VectorwiseOp<ExpressionType,Direction>::cross(const MatrixBase<OtherDerived>& other) const
+{
+  EIGEN_STATIC_ASSERT_VECTOR_SPECIFIC_SIZE(OtherDerived,3)
+  EIGEN_STATIC_ASSERT((internal::is_same<Scalar, typename OtherDerived::Scalar>::value),
+    YOU_MIXED_DIFFERENT_NUMERIC_TYPES__YOU_NEED_TO_USE_THE_CAST_METHOD_OF_MATRIXBASE_TO_CAST_NUMERIC_TYPES_EXPLICITLY)
+  
+  typename internal::nested_eval<ExpressionType,2>::type mat(_expression());
+  typename internal::nested_eval<OtherDerived,2>::type vec(other.derived());
+
+  CrossReturnType res(_expression().rows(),_expression().cols());
+  if(Direction==Vertical)
+  {
+    eigen_assert(CrossReturnType::RowsAtCompileTime==3 && "the matrix must have exactly 3 rows");
+    res.row(0) = (mat.row(1) * vec.coeff(2) - mat.row(2) * vec.coeff(1)).conjugate();
+    res.row(1) = (mat.row(2) * vec.coeff(0) - mat.row(0) * vec.coeff(2)).conjugate();
+    res.row(2) = (mat.row(0) * vec.coeff(1) - mat.row(1) * vec.coeff(0)).conjugate();
+  }
+  else
+  {
+    eigen_assert(CrossReturnType::ColsAtCompileTime==3 && "the matrix must have exactly 3 columns");
+    res.col(0) = (mat.col(1) * vec.coeff(2) - mat.col(2) * vec.coeff(1)).conjugate();
+    res.col(1) = (mat.col(2) * vec.coeff(0) - mat.col(0) * vec.coeff(2)).conjugate();
+    res.col(2) = (mat.col(0) * vec.coeff(1) - mat.col(1) * vec.coeff(0)).conjugate();
+  }
+  return res;
+}
+
+namespace internal {
+
+template<typename Derived, int Size = Derived::SizeAtCompileTime>
+struct unitOrthogonal_selector
+{
+  typedef typename plain_matrix_type<Derived>::type VectorType;
+  typedef typename traits<Derived>::Scalar Scalar;
+  typedef typename NumTraits<Scalar>::Real RealScalar;
+  typedef Matrix<Scalar,2,1> Vector2;
+  EIGEN_DEVICE_FUNC
+  static inline VectorType run(const Derived& src)
+  {
+    VectorType perp = VectorType::Zero(src.size());
+    Index maxi = 0;
+    Index sndi = 0;
+    src.cwiseAbs().maxCoeff(&maxi);
+    if (maxi==0)
+      sndi = 1;
+    RealScalar invnm = RealScalar(1)/(Vector2() << src.coeff(sndi),src.coeff(maxi)).finished().norm();
+    perp.coeffRef(maxi) = -numext::conj(src.coeff(sndi)) * invnm;
+    perp.coeffRef(sndi) =  numext::conj(src.coeff(maxi)) * invnm;
+
+    return perp;
+   }
+};
+
+template<typename Derived>
+struct unitOrthogonal_selector<Derived,3>
+{
+  typedef typename plain_matrix_type<Derived>::type VectorType;
+  typedef typename traits<Derived>::Scalar Scalar;
+  typedef typename NumTraits<Scalar>::Real RealScalar;
+  EIGEN_DEVICE_FUNC
+  static inline VectorType run(const Derived& src)
+  {
+    VectorType perp;
+    /* Let us compute the crossed product of *this with a vector
+     * that is not too close to being colinear to *this.
+     */
+
+    /* unless the x and y coords are both close to zero, we can
+     * simply take ( -y, x, 0 ) and normalize it.
+     */
+    if((!isMuchSmallerThan(src.x(), src.z()))
+    || (!isMuchSmallerThan(src.y(), src.z())))
+    {
+      RealScalar invnm = RealScalar(1)/src.template head<2>().norm();
+      perp.coeffRef(0) = -numext::conj(src.y())*invnm;
+      perp.coeffRef(1) = numext::conj(src.x())*invnm;
+      perp.coeffRef(2) = 0;
+    }
+    /* if both x and y are close to zero, then the vector is close
+     * to the z-axis, so it's far from colinear to the x-axis for instance.
+     * So we take the crossed product with (1,0,0) and normalize it.
+     */
+    else
+    {
+      RealScalar invnm = RealScalar(1)/src.template tail<2>().norm();
+      perp.coeffRef(0) = 0;
+      perp.coeffRef(1) = -numext::conj(src.z())*invnm;
+      perp.coeffRef(2) = numext::conj(src.y())*invnm;
+    }
+
+    return perp;
+   }
+};
+
+template<typename Derived>
+struct unitOrthogonal_selector<Derived,2>
+{
+  typedef typename plain_matrix_type<Derived>::type VectorType;
+  EIGEN_DEVICE_FUNC
+  static inline VectorType run(const Derived& src)
+  { return VectorType(-numext::conj(src.y()), numext::conj(src.x())).normalized(); }
+};
+
+} // end namespace internal
+
+/** \geometry_module \ingroup Geometry_Module
+  *
+  * \returns a unit vector which is orthogonal to \c *this
+  *
+  * The size of \c *this must be at least 2. If the size is exactly 2,
+  * then the returned vector is a counter clock wise rotation of \c *this, i.e., (-y,x).normalized().
+  *
+  * \sa cross()
+  */
+template<typename Derived>
+EIGEN_DEVICE_FUNC typename MatrixBase<Derived>::PlainObject
+MatrixBase<Derived>::unitOrthogonal() const
+{
+  EIGEN_STATIC_ASSERT_VECTOR_ONLY(Derived)
+  return internal::unitOrthogonal_selector<Derived>::run(derived());
+}
+
+} // end namespace Eigen
+
+#endif // EIGEN_ORTHOMETHODS_H
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Geometry/ParametrizedLine.h
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Geometry/ParametrizedLine.h	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Geometry/ParametrizedLine.h	(revision 3761)
@@ -0,0 +1,195 @@
+// This file is part of Eigen, a lightweight C++ template library
+// for linear algebra.
+//
+// Copyright (C) 2008 Gael Guennebaud <gael.guennebaud@inria.fr>
+// Copyright (C) 2008 Benoit Jacob <jacob.benoit.1@gmail.com>
+//
+// This Source Code Form is subject to the terms of the Mozilla
+// Public License v. 2.0. If a copy of the MPL was not distributed
+// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
+
+#ifndef EIGEN_PARAMETRIZEDLINE_H
+#define EIGEN_PARAMETRIZEDLINE_H
+
+namespace Eigen { 
+
+/** \geometry_module \ingroup Geometry_Module
+  *
+  * \class ParametrizedLine
+  *
+  * \brief A parametrized line
+  *
+  * A parametrized line is defined by an origin point \f$ \mathbf{o} \f$ and a unit
+  * direction vector \f$ \mathbf{d} \f$ such that the line corresponds to
+  * the set \f$ l(t) = \mathbf{o} + t \mathbf{d} \f$, \f$ t \in \mathbf{R} \f$.
+  *
+  * \tparam _Scalar the scalar type, i.e., the type of the coefficients
+  * \tparam _AmbientDim the dimension of the ambient space, can be a compile time value or Dynamic.
+  */
+template <typename _Scalar, int _AmbientDim, int _Options>
+class ParametrizedLine
+{
+public:
+  EIGEN_MAKE_ALIGNED_OPERATOR_NEW_IF_VECTORIZABLE_FIXED_SIZE(_Scalar,_AmbientDim)
+  enum {
+    AmbientDimAtCompileTime = _AmbientDim,
+    Options = _Options
+  };
+  typedef _Scalar Scalar;
+  typedef typename NumTraits<Scalar>::Real RealScalar;
+  typedef Eigen::Index Index; ///< \deprecated since Eigen 3.3
+  typedef Matrix<Scalar,AmbientDimAtCompileTime,1,Options> VectorType;
+
+  /** Default constructor without initialization */
+  EIGEN_DEVICE_FUNC inline ParametrizedLine() {}
+  
+  template<int OtherOptions>
+  EIGEN_DEVICE_FUNC ParametrizedLine(const ParametrizedLine<Scalar,AmbientDimAtCompileTime,OtherOptions>& other)
+   : m_origin(other.origin()), m_direction(other.direction())
+  {}
+
+  /** Constructs a dynamic-size line with \a _dim the dimension
+    * of the ambient space */
+  EIGEN_DEVICE_FUNC inline explicit ParametrizedLine(Index _dim) : m_origin(_dim), m_direction(_dim) {}
+
+  /** Initializes a parametrized line of direction \a direction and origin \a origin.
+    * \warning the vector direction is assumed to be normalized.
+    */
+  EIGEN_DEVICE_FUNC ParametrizedLine(const VectorType& origin, const VectorType& direction)
+    : m_origin(origin), m_direction(direction) {}
+
+  template <int OtherOptions>
+  EIGEN_DEVICE_FUNC explicit ParametrizedLine(const Hyperplane<_Scalar, _AmbientDim, OtherOptions>& hyperplane);
+
+  /** Constructs a parametrized line going from \a p0 to \a p1. */
+  EIGEN_DEVICE_FUNC static inline ParametrizedLine Through(const VectorType& p0, const VectorType& p1)
+  { return ParametrizedLine(p0, (p1-p0).normalized()); }
+
+  EIGEN_DEVICE_FUNC ~ParametrizedLine() {}
+
+  /** \returns the dimension in which the line holds */
+  EIGEN_DEVICE_FUNC inline Index dim() const { return m_direction.size(); }
+
+  EIGEN_DEVICE_FUNC const VectorType& origin() const { return m_origin; }
+  EIGEN_DEVICE_FUNC VectorType& origin() { return m_origin; }
+
+  EIGEN_DEVICE_FUNC const VectorType& direction() const { return m_direction; }
+  EIGEN_DEVICE_FUNC VectorType& direction() { return m_direction; }
+
+  /** \returns the squared distance of a point \a p to its projection onto the line \c *this.
+    * \sa distance()
+    */
+  EIGEN_DEVICE_FUNC RealScalar squaredDistance(const VectorType& p) const
+  {
+    VectorType diff = p - origin();
+    return (diff - direction().dot(diff) * direction()).squaredNorm();
+  }
+  /** \returns the distance of a point \a p to its projection onto the line \c *this.
+    * \sa squaredDistance()
+    */
+  EIGEN_DEVICE_FUNC RealScalar distance(const VectorType& p) const { EIGEN_USING_STD_MATH(sqrt) return sqrt(squaredDistance(p)); }
+
+  /** \returns the projection of a point \a p onto the line \c *this. */
+  EIGEN_DEVICE_FUNC VectorType projection(const VectorType& p) const
+  { return origin() + direction().dot(p-origin()) * direction(); }
+
+  EIGEN_DEVICE_FUNC VectorType pointAt(const Scalar& t) const;
+  
+  template <int OtherOptions>
+  EIGEN_DEVICE_FUNC Scalar intersectionParameter(const Hyperplane<_Scalar, _AmbientDim, OtherOptions>& hyperplane) const;
+ 
+  template <int OtherOptions>
+  EIGEN_DEVICE_FUNC Scalar intersection(const Hyperplane<_Scalar, _AmbientDim, OtherOptions>& hyperplane) const;
+  
+  template <int OtherOptions>
+  EIGEN_DEVICE_FUNC VectorType intersectionPoint(const Hyperplane<_Scalar, _AmbientDim, OtherOptions>& hyperplane) const;
+
+  /** \returns \c *this with scalar type casted to \a NewScalarType
+    *
+    * Note that if \a NewScalarType is equal to the current scalar type of \c *this
+    * then this function smartly returns a const reference to \c *this.
+    */
+  template<typename NewScalarType>
+  EIGEN_DEVICE_FUNC inline typename internal::cast_return_type<ParametrizedLine,
+           ParametrizedLine<NewScalarType,AmbientDimAtCompileTime,Options> >::type cast() const
+  {
+    return typename internal::cast_return_type<ParametrizedLine,
+                    ParametrizedLine<NewScalarType,AmbientDimAtCompileTime,Options> >::type(*this);
+  }
+
+  /** Copy constructor with scalar type conversion */
+  template<typename OtherScalarType,int OtherOptions>
+  EIGEN_DEVICE_FUNC inline explicit ParametrizedLine(const ParametrizedLine<OtherScalarType,AmbientDimAtCompileTime,OtherOptions>& other)
+  {
+    m_origin = other.origin().template cast<Scalar>();
+    m_direction = other.direction().template cast<Scalar>();
+  }
+
+  /** \returns \c true if \c *this is approximately equal to \a other, within the precision
+    * determined by \a prec.
+    *
+    * \sa MatrixBase::isApprox() */
+  EIGEN_DEVICE_FUNC bool isApprox(const ParametrizedLine& other, const typename NumTraits<Scalar>::Real& prec = NumTraits<Scalar>::dummy_precision()) const
+  { return m_origin.isApprox(other.m_origin, prec) && m_direction.isApprox(other.m_direction, prec); }
+
+protected:
+
+  VectorType m_origin, m_direction;
+};
+
+/** Constructs a parametrized line from a 2D hyperplane
+  *
+  * \warning the ambient space must have dimension 2 such that the hyperplane actually describes a line
+  */
+template <typename _Scalar, int _AmbientDim, int _Options>
+template <int OtherOptions>
+EIGEN_DEVICE_FUNC inline ParametrizedLine<_Scalar, _AmbientDim,_Options>::ParametrizedLine(const Hyperplane<_Scalar, _AmbientDim,OtherOptions>& hyperplane)
+{
+  EIGEN_STATIC_ASSERT_VECTOR_SPECIFIC_SIZE(VectorType, 2)
+  direction() = hyperplane.normal().unitOrthogonal();
+  origin() = -hyperplane.normal()*hyperplane.offset();
+}
+
+/** \returns the point at \a t along this line
+  */
+template <typename _Scalar, int _AmbientDim, int _Options>
+EIGEN_DEVICE_FUNC inline typename ParametrizedLine<_Scalar, _AmbientDim,_Options>::VectorType
+ParametrizedLine<_Scalar, _AmbientDim,_Options>::pointAt(const _Scalar& t) const
+{
+  return origin() + (direction()*t); 
+}
+
+/** \returns the parameter value of the intersection between \c *this and the given \a hyperplane
+  */
+template <typename _Scalar, int _AmbientDim, int _Options>
+template <int OtherOptions>
+EIGEN_DEVICE_FUNC inline _Scalar ParametrizedLine<_Scalar, _AmbientDim,_Options>::intersectionParameter(const Hyperplane<_Scalar, _AmbientDim, OtherOptions>& hyperplane) const
+{
+  return -(hyperplane.offset()+hyperplane.normal().dot(origin()))
+          / hyperplane.normal().dot(direction());
+}
+
+
+/** \deprecated use intersectionParameter()
+  * \returns the parameter value of the intersection between \c *this and the given \a hyperplane
+  */
+template <typename _Scalar, int _AmbientDim, int _Options>
+template <int OtherOptions>
+EIGEN_DEVICE_FUNC inline _Scalar ParametrizedLine<_Scalar, _AmbientDim,_Options>::intersection(const Hyperplane<_Scalar, _AmbientDim, OtherOptions>& hyperplane) const
+{
+  return intersectionParameter(hyperplane);
+}
+
+/** \returns the point of the intersection between \c *this and the given hyperplane
+  */
+template <typename _Scalar, int _AmbientDim, int _Options>
+template <int OtherOptions>
+EIGEN_DEVICE_FUNC inline typename ParametrizedLine<_Scalar, _AmbientDim,_Options>::VectorType
+ParametrizedLine<_Scalar, _AmbientDim,_Options>::intersectionPoint(const Hyperplane<_Scalar, _AmbientDim, OtherOptions>& hyperplane) const
+{
+  return pointAt(intersectionParameter(hyperplane));
+}
+
+} // end namespace Eigen
+
+#endif // EIGEN_PARAMETRIZEDLINE_H
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Geometry/Scaling.h
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Geometry/Scaling.h	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Geometry/Scaling.h	(revision 3761)
@@ -0,0 +1,170 @@
+// This file is part of Eigen, a lightweight C++ template library
+// for linear algebra.
+//
+// Copyright (C) 2008 Gael Guennebaud <gael.guennebaud@inria.fr>
+//
+// This Source Code Form is subject to the terms of the Mozilla
+// Public License v. 2.0. If a copy of the MPL was not distributed
+// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
+
+#ifndef EIGEN_SCALING_H
+#define EIGEN_SCALING_H
+
+namespace Eigen { 
+
+/** \geometry_module \ingroup Geometry_Module
+  *
+  * \class UniformScaling
+  *
+  * \brief Represents a generic uniform scaling transformation
+  *
+  * \tparam _Scalar the scalar type, i.e., the type of the coefficients.
+  *
+  * This class represent a uniform scaling transformation. It is the return
+  * type of Scaling(Scalar), and most of the time this is the only way it
+  * is used. In particular, this class is not aimed to be used to store a scaling transformation,
+  * but rather to make easier the constructions and updates of Transform objects.
+  *
+  * To represent an axis aligned scaling, use the DiagonalMatrix class.
+  *
+  * \sa Scaling(), class DiagonalMatrix, MatrixBase::asDiagonal(), class Translation, class Transform
+  */
+template<typename _Scalar>
+class UniformScaling
+{
+public:
+  /** the scalar type of the coefficients */
+  typedef _Scalar Scalar;
+
+protected:
+
+  Scalar m_factor;
+
+public:
+
+  /** Default constructor without initialization. */
+  UniformScaling() {}
+  /** Constructs and initialize a uniform scaling transformation */
+  explicit inline UniformScaling(const Scalar& s) : m_factor(s) {}
+
+  inline const Scalar& factor() const { return m_factor; }
+  inline Scalar& factor() { return m_factor; }
+
+  /** Concatenates two uniform scaling */
+  inline UniformScaling operator* (const UniformScaling& other) const
+  { return UniformScaling(m_factor * other.factor()); }
+
+  /** Concatenates a uniform scaling and a translation */
+  template<int Dim>
+  inline Transform<Scalar,Dim,Affine> operator* (const Translation<Scalar,Dim>& t) const;
+
+  /** Concatenates a uniform scaling and an affine transformation */
+  template<int Dim, int Mode, int Options>
+  inline Transform<Scalar,Dim,(int(Mode)==int(Isometry)?Affine:Mode)> operator* (const Transform<Scalar,Dim, Mode, Options>& t) const
+  {
+    Transform<Scalar,Dim,(int(Mode)==int(Isometry)?Affine:Mode)> res = t;
+    res.prescale(factor());
+    return res;
+  }
+
+  /** Concatenates a uniform scaling and a linear transformation matrix */
+  // TODO returns an expression
+  template<typename Derived>
+  inline typename internal::plain_matrix_type<Derived>::type operator* (const MatrixBase<Derived>& other) const
+  { return other * m_factor; }
+
+  template<typename Derived,int Dim>
+  inline Matrix<Scalar,Dim,Dim> operator*(const RotationBase<Derived,Dim>& r) const
+  { return r.toRotationMatrix() * m_factor; }
+
+  /** \returns the inverse scaling */
+  inline UniformScaling inverse() const
+  { return UniformScaling(Scalar(1)/m_factor); }
+
+  /** \returns \c *this with scalar type casted to \a NewScalarType
+    *
+    * Note that if \a NewScalarType is equal to the current scalar type of \c *this
+    * then this function smartly returns a const reference to \c *this.
+    */
+  template<typename NewScalarType>
+  inline UniformScaling<NewScalarType> cast() const
+  { return UniformScaling<NewScalarType>(NewScalarType(m_factor)); }
+
+  /** Copy constructor with scalar type conversion */
+  template<typename OtherScalarType>
+  inline explicit UniformScaling(const UniformScaling<OtherScalarType>& other)
+  { m_factor = Scalar(other.factor()); }
+
+  /** \returns \c true if \c *this is approximately equal to \a other, within the precision
+    * determined by \a prec.
+    *
+    * \sa MatrixBase::isApprox() */
+  bool isApprox(const UniformScaling& other, const typename NumTraits<Scalar>::Real& prec = NumTraits<Scalar>::dummy_precision()) const
+  { return internal::isApprox(m_factor, other.factor(), prec); }
+
+};
+
+/** \addtogroup Geometry_Module */
+//@{
+
+/** Concatenates a linear transformation matrix and a uniform scaling
+  * \relates UniformScaling
+  */
+// NOTE this operator is defiend in MatrixBase and not as a friend function
+// of UniformScaling to fix an internal crash of Intel's ICC
+template<typename Derived,typename Scalar>
+EIGEN_EXPR_BINARYOP_SCALAR_RETURN_TYPE(Derived,Scalar,product)
+operator*(const MatrixBase<Derived>& matrix, const UniformScaling<Scalar>& s)
+{ return matrix.derived() * s.factor(); }
+
+/** Constructs a uniform scaling from scale factor \a s */
+inline UniformScaling<float> Scaling(float s) { return UniformScaling<float>(s); }
+/** Constructs a uniform scaling from scale factor \a s */
+inline UniformScaling<double> Scaling(double s) { return UniformScaling<double>(s); }
+/** Constructs a uniform scaling from scale factor \a s */
+template<typename RealScalar>
+inline UniformScaling<std::complex<RealScalar> > Scaling(const std::complex<RealScalar>& s)
+{ return UniformScaling<std::complex<RealScalar> >(s); }
+
+/** Constructs a 2D axis aligned scaling */
+template<typename Scalar>
+inline DiagonalMatrix<Scalar,2> Scaling(const Scalar& sx, const Scalar& sy)
+{ return DiagonalMatrix<Scalar,2>(sx, sy); }
+/** Constructs a 3D axis aligned scaling */
+template<typename Scalar>
+inline DiagonalMatrix<Scalar,3> Scaling(const Scalar& sx, const Scalar& sy, const Scalar& sz)
+{ return DiagonalMatrix<Scalar,3>(sx, sy, sz); }
+
+/** Constructs an axis aligned scaling expression from vector expression \a coeffs
+  * This is an alias for coeffs.asDiagonal()
+  */
+template<typename Derived>
+inline const DiagonalWrapper<const Derived> Scaling(const MatrixBase<Derived>& coeffs)
+{ return coeffs.asDiagonal(); }
+
+/** \deprecated */
+typedef DiagonalMatrix<float, 2> AlignedScaling2f;
+/** \deprecated */
+typedef DiagonalMatrix<double,2> AlignedScaling2d;
+/** \deprecated */
+typedef DiagonalMatrix<float, 3> AlignedScaling3f;
+/** \deprecated */
+typedef DiagonalMatrix<double,3> AlignedScaling3d;
+//@}
+
+template<typename Scalar>
+template<int Dim>
+inline Transform<Scalar,Dim,Affine>
+UniformScaling<Scalar>::operator* (const Translation<Scalar,Dim>& t) const
+{
+  Transform<Scalar,Dim,Affine> res;
+  res.matrix().setZero();
+  res.linear().diagonal().fill(factor());
+  res.translation() = factor() * t.vector();
+  res(Dim,Dim) = Scalar(1);
+  return res;
+}
+
+} // end namespace Eigen
+
+#endif // EIGEN_SCALING_H
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/misc/lapack.h
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/misc/lapack.h	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/misc/lapack.h	(revision 3761)
@@ -0,0 +1,152 @@
+#ifndef LAPACK_H
+#define LAPACK_H
+
+#include "blas.h"
+
+#ifdef __cplusplus
+extern "C"
+{
+#endif
+
+int BLASFUNC(csymv) (const char *, const int *, const float  *, const float  *, const int *, const float  *, const int *, const float  *, float  *, const int *);
+int BLASFUNC(zsymv) (const char *, const int *, const double *, const double *, const int *, const double *, const int *, const double *, double *, const int *);
+int BLASFUNC(xsymv) (const char *, const int *, const double *, const double *, const int *, const double *, const int *, const double *, double *, const int *);
+
+
+int BLASFUNC(cspmv) (char *, int *, float  *, float *,
+         float  *, int *, float *, float *, int *);
+int BLASFUNC(zspmv) (char *, int *, double  *, double *,
+         double  *, int *, double *, double *, int *);
+int BLASFUNC(xspmv) (char *, int *, double  *, double *,
+         double  *, int *, double *, double *, int *);
+
+int BLASFUNC(csyr) (char *, int *, float   *, float  *, int *,
+        float  *, int *);
+int BLASFUNC(zsyr) (char *, int *, double  *, double *, int *,
+        double *, int *);
+int BLASFUNC(xsyr) (char *, int *, double  *, double *, int *,
+        double *, int *);
+
+int BLASFUNC(cspr) (char *, int *, float   *, float  *, int *,
+        float  *);
+int BLASFUNC(zspr) (char *, int *, double  *, double *, int *,
+        double *);
+int BLASFUNC(xspr) (char *, int *, double  *, double *, int *,
+        double *);
+
+int BLASFUNC(sgemt)(char *, int *, int *, float  *, float  *, int *,
+        float  *, int *);
+int BLASFUNC(dgemt)(char *, int *, int *, double *, double *, int *,
+        double *, int *);
+int BLASFUNC(cgemt)(char *, int *, int *, float  *, float  *, int *,
+        float  *, int *);
+int BLASFUNC(zgemt)(char *, int *, int *, double *, double *, int *,
+        double *, int *);
+
+int BLASFUNC(sgema)(char *, char *, int *, int *, float  *,
+        float  *, int *, float *, float  *, int *, float *, int *);
+int BLASFUNC(dgema)(char *, char *, int *, int *, double *,
+        double *, int *, double*, double *, int *, double*, int *);
+int BLASFUNC(cgema)(char *, char *, int *, int *, float  *,
+        float  *, int *, float *, float  *, int *, float *, int *);
+int BLASFUNC(zgema)(char *, char *, int *, int *, double *,
+        double *, int *, double*, double *, int *, double*, int *);
+
+int BLASFUNC(sgems)(char *, char *, int *, int *, float  *,
+        float  *, int *, float *, float  *, int *, float *, int *);
+int BLASFUNC(dgems)(char *, char *, int *, int *, double *,
+        double *, int *, double*, double *, int *, double*, int *);
+int BLASFUNC(cgems)(char *, char *, int *, int *, float  *,
+        float  *, int *, float *, float  *, int *, float *, int *);
+int BLASFUNC(zgems)(char *, char *, int *, int *, double *,
+        double *, int *, double*, double *, int *, double*, int *);
+
+int BLASFUNC(sgetf2)(int *, int *, float  *, int *, int *, int *);
+int BLASFUNC(dgetf2)(int *, int *, double *, int *, int *, int *);
+int BLASFUNC(qgetf2)(int *, int *, double *, int *, int *, int *);
+int BLASFUNC(cgetf2)(int *, int *, float  *, int *, int *, int *);
+int BLASFUNC(zgetf2)(int *, int *, double *, int *, int *, int *);
+int BLASFUNC(xgetf2)(int *, int *, double *, int *, int *, int *);
+
+int BLASFUNC(sgetrf)(int *, int *, float  *, int *, int *, int *);
+int BLASFUNC(dgetrf)(int *, int *, double *, int *, int *, int *);
+int BLASFUNC(qgetrf)(int *, int *, double *, int *, int *, int *);
+int BLASFUNC(cgetrf)(int *, int *, float  *, int *, int *, int *);
+int BLASFUNC(zgetrf)(int *, int *, double *, int *, int *, int *);
+int BLASFUNC(xgetrf)(int *, int *, double *, int *, int *, int *);
+
+int BLASFUNC(slaswp)(int *, float  *, int *, int *, int *, int *, int *);
+int BLASFUNC(dlaswp)(int *, double *, int *, int *, int *, int *, int *);
+int BLASFUNC(qlaswp)(int *, double *, int *, int *, int *, int *, int *);
+int BLASFUNC(claswp)(int *, float  *, int *, int *, int *, int *, int *);
+int BLASFUNC(zlaswp)(int *, double *, int *, int *, int *, int *, int *);
+int BLASFUNC(xlaswp)(int *, double *, int *, int *, int *, int *, int *);
+
+int BLASFUNC(sgetrs)(char *, int *, int *, float  *, int *, int *, float  *, int *, int *);
+int BLASFUNC(dgetrs)(char *, int *, int *, double *, int *, int *, double *, int *, int *);
+int BLASFUNC(qgetrs)(char *, int *, int *, double *, int *, int *, double *, int *, int *);
+int BLASFUNC(cgetrs)(char *, int *, int *, float  *, int *, int *, float  *, int *, int *);
+int BLASFUNC(zgetrs)(char *, int *, int *, double *, int *, int *, double *, int *, int *);
+int BLASFUNC(xgetrs)(char *, int *, int *, double *, int *, int *, double *, int *, int *);
+
+int BLASFUNC(sgesv)(int *, int *, float  *, int *, int *, float *, int *, int *);
+int BLASFUNC(dgesv)(int *, int *, double *, int *, int *, double*, int *, int *);
+int BLASFUNC(qgesv)(int *, int *, double *, int *, int *, double*, int *, int *);
+int BLASFUNC(cgesv)(int *, int *, float  *, int *, int *, float *, int *, int *);
+int BLASFUNC(zgesv)(int *, int *, double *, int *, int *, double*, int *, int *);
+int BLASFUNC(xgesv)(int *, int *, double *, int *, int *, double*, int *, int *);
+
+int BLASFUNC(spotf2)(char *, int *, float  *, int *, int *);
+int BLASFUNC(dpotf2)(char *, int *, double *, int *, int *);
+int BLASFUNC(qpotf2)(char *, int *, double *, int *, int *);
+int BLASFUNC(cpotf2)(char *, int *, float  *, int *, int *);
+int BLASFUNC(zpotf2)(char *, int *, double *, int *, int *);
+int BLASFUNC(xpotf2)(char *, int *, double *, int *, int *);
+
+int BLASFUNC(spotrf)(char *, int *, float  *, int *, int *);
+int BLASFUNC(dpotrf)(char *, int *, double *, int *, int *);
+int BLASFUNC(qpotrf)(char *, int *, double *, int *, int *);
+int BLASFUNC(cpotrf)(char *, int *, float  *, int *, int *);
+int BLASFUNC(zpotrf)(char *, int *, double *, int *, int *);
+int BLASFUNC(xpotrf)(char *, int *, double *, int *, int *);
+
+int BLASFUNC(slauu2)(char *, int *, float  *, int *, int *);
+int BLASFUNC(dlauu2)(char *, int *, double *, int *, int *);
+int BLASFUNC(qlauu2)(char *, int *, double *, int *, int *);
+int BLASFUNC(clauu2)(char *, int *, float  *, int *, int *);
+int BLASFUNC(zlauu2)(char *, int *, double *, int *, int *);
+int BLASFUNC(xlauu2)(char *, int *, double *, int *, int *);
+
+int BLASFUNC(slauum)(char *, int *, float  *, int *, int *);
+int BLASFUNC(dlauum)(char *, int *, double *, int *, int *);
+int BLASFUNC(qlauum)(char *, int *, double *, int *, int *);
+int BLASFUNC(clauum)(char *, int *, float  *, int *, int *);
+int BLASFUNC(zlauum)(char *, int *, double *, int *, int *);
+int BLASFUNC(xlauum)(char *, int *, double *, int *, int *);
+
+int BLASFUNC(strti2)(char *, char *, int *, float  *, int *, int *);
+int BLASFUNC(dtrti2)(char *, char *, int *, double *, int *, int *);
+int BLASFUNC(qtrti2)(char *, char *, int *, double *, int *, int *);
+int BLASFUNC(ctrti2)(char *, char *, int *, float  *, int *, int *);
+int BLASFUNC(ztrti2)(char *, char *, int *, double *, int *, int *);
+int BLASFUNC(xtrti2)(char *, char *, int *, double *, int *, int *);
+
+int BLASFUNC(strtri)(char *, char *, int *, float  *, int *, int *);
+int BLASFUNC(dtrtri)(char *, char *, int *, double *, int *, int *);
+int BLASFUNC(qtrtri)(char *, char *, int *, double *, int *, int *);
+int BLASFUNC(ctrtri)(char *, char *, int *, float  *, int *, int *);
+int BLASFUNC(ztrtri)(char *, char *, int *, double *, int *, int *);
+int BLASFUNC(xtrtri)(char *, char *, int *, double *, int *, int *);
+
+int BLASFUNC(spotri)(char *, int *, float  *, int *, int *);
+int BLASFUNC(dpotri)(char *, int *, double *, int *, int *);
+int BLASFUNC(qpotri)(char *, int *, double *, int *, int *);
+int BLASFUNC(cpotri)(char *, int *, float  *, int *, int *);
+int BLASFUNC(zpotri)(char *, int *, double *, int *, int *);
+int BLASFUNC(xpotri)(char *, int *, double *, int *, int *);
+
+#ifdef __cplusplus
+}
+#endif
+
+#endif
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/misc/RealSvd2x2.h
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/misc/RealSvd2x2.h	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/misc/RealSvd2x2.h	(revision 3761)
@@ -0,0 +1,55 @@
+// This file is part of Eigen, a lightweight C++ template library
+// for linear algebra.
+//
+// Copyright (C) 2009-2010 Benoit Jacob <jacob.benoit.1@gmail.com>
+// Copyright (C) 2013-2016 Gael Guennebaud <gael.guennebaud@inria.fr>
+//
+// This Source Code Form is subject to the terms of the Mozilla
+// Public License v. 2.0. If a copy of the MPL was not distributed
+// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
+
+#ifndef EIGEN_REALSVD2X2_H
+#define EIGEN_REALSVD2X2_H
+
+namespace Eigen {
+
+namespace internal {
+
+template<typename MatrixType, typename RealScalar, typename Index>
+void real_2x2_jacobi_svd(const MatrixType& matrix, Index p, Index q,
+                         JacobiRotation<RealScalar> *j_left,
+                         JacobiRotation<RealScalar> *j_right)
+{
+  using std::sqrt;
+  using std::abs;
+  Matrix<RealScalar,2,2> m;
+  m << numext::real(matrix.coeff(p,p)), numext::real(matrix.coeff(p,q)),
+       numext::real(matrix.coeff(q,p)), numext::real(matrix.coeff(q,q));
+  JacobiRotation<RealScalar> rot1;
+  RealScalar t = m.coeff(0,0) + m.coeff(1,1);
+  RealScalar d = m.coeff(1,0) - m.coeff(0,1);
+
+  if(abs(d) < (std::numeric_limits<RealScalar>::min)())
+  {
+    rot1.s() = RealScalar(0);
+    rot1.c() = RealScalar(1);
+  }
+  else
+  {
+    // If d!=0, then t/d cannot overflow because the magnitude of the
+    // entries forming d are not too small compared to the ones forming t.
+    RealScalar u = t / d;
+    RealScalar tmp = sqrt(RealScalar(1) + numext::abs2(u));
+    rot1.s() = RealScalar(1) / tmp;
+    rot1.c() = u / tmp;
+  }
+  m.applyOnTheLeft(0,1,rot1);
+  j_right->makeJacobi(m,0,1);
+  *j_left = rot1 * j_right->transpose();
+}
+
+} // end namespace internal
+
+} // end namespace Eigen
+
+#endif // EIGEN_REALSVD2X2_H
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/misc/lapacke_mangling.h
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/misc/lapacke_mangling.h	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/misc/lapacke_mangling.h	(revision 3761)
@@ -0,0 +1,17 @@
+#ifndef LAPACK_HEADER_INCLUDED
+#define LAPACK_HEADER_INCLUDED
+
+#ifndef LAPACK_GLOBAL
+#if defined(LAPACK_GLOBAL_PATTERN_LC) || defined(ADD_)
+#define LAPACK_GLOBAL(lcname,UCNAME)  lcname##_
+#elif defined(LAPACK_GLOBAL_PATTERN_UC) || defined(UPPER)
+#define LAPACK_GLOBAL(lcname,UCNAME)  UCNAME
+#elif defined(LAPACK_GLOBAL_PATTERN_MC) || defined(NOCHANGE)
+#define LAPACK_GLOBAL(lcname,UCNAME)  lcname
+#else
+#define LAPACK_GLOBAL(lcname,UCNAME)  lcname##_
+#endif
+#endif
+
+#endif
+
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/misc/Kernel.h
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/misc/Kernel.h	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/misc/Kernel.h	(revision 3761)
@@ -0,0 +1,79 @@
+// This file is part of Eigen, a lightweight C++ template library
+// for linear algebra.
+//
+// Copyright (C) 2009 Benoit Jacob <jacob.benoit.1@gmail.com>
+//
+// This Source Code Form is subject to the terms of the Mozilla
+// Public License v. 2.0. If a copy of the MPL was not distributed
+// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
+
+#ifndef EIGEN_MISC_KERNEL_H
+#define EIGEN_MISC_KERNEL_H
+
+namespace Eigen { 
+
+namespace internal {
+
+/** \class kernel_retval_base
+  *
+  */
+template<typename DecompositionType>
+struct traits<kernel_retval_base<DecompositionType> >
+{
+  typedef typename DecompositionType::MatrixType MatrixType;
+  typedef Matrix<
+    typename MatrixType::Scalar,
+    MatrixType::ColsAtCompileTime, // the number of rows in the "kernel matrix"
+                                   // is the number of cols of the original matrix
+                                   // so that the product "matrix * kernel = zero" makes sense
+    Dynamic,                       // we don't know at compile-time the dimension of the kernel
+    MatrixType::Options,
+    MatrixType::MaxColsAtCompileTime, // see explanation for 2nd template parameter
+    MatrixType::MaxColsAtCompileTime // the kernel is a subspace of the domain space,
+                                     // whose dimension is the number of columns of the original matrix
+  > ReturnType;
+};
+
+template<typename _DecompositionType> struct kernel_retval_base
+ : public ReturnByValue<kernel_retval_base<_DecompositionType> >
+{
+  typedef _DecompositionType DecompositionType;
+  typedef ReturnByValue<kernel_retval_base> Base;
+
+  explicit kernel_retval_base(const DecompositionType& dec)
+    : m_dec(dec),
+      m_rank(dec.rank()),
+      m_cols(m_rank==dec.cols() ? 1 : dec.cols() - m_rank)
+  {}
+
+  inline Index rows() const { return m_dec.cols(); }
+  inline Index cols() const { return m_cols; }
+  inline Index rank() const { return m_rank; }
+  inline const DecompositionType& dec() const { return m_dec; }
+
+  template<typename Dest> inline void evalTo(Dest& dst) const
+  {
+    static_cast<const kernel_retval<DecompositionType>*>(this)->evalTo(dst);
+  }
+
+  protected:
+    const DecompositionType& m_dec;
+    Index m_rank, m_cols;
+};
+
+} // end namespace internal
+
+#define EIGEN_MAKE_KERNEL_HELPERS(DecompositionType) \
+  typedef typename DecompositionType::MatrixType MatrixType; \
+  typedef typename MatrixType::Scalar Scalar; \
+  typedef typename MatrixType::RealScalar RealScalar; \
+  typedef Eigen::internal::kernel_retval_base<DecompositionType> Base; \
+  using Base::dec; \
+  using Base::rank; \
+  using Base::rows; \
+  using Base::cols; \
+  kernel_retval(const DecompositionType& dec) : Base(dec) {}
+
+} // end namespace Eigen
+
+#endif // EIGEN_MISC_KERNEL_H
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/misc/lapacke.h
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/misc/lapacke.h	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/misc/lapacke.h	(revision 3761)
@@ -0,0 +1,16291 @@
+/*****************************************************************************
+  Copyright (c) 2010, Intel Corp.
+  All rights reserved.
+
+  Redistribution and use in source and binary forms, with or without
+  modification, are permitted provided that the following conditions are met:
+
+    * Redistributions of source code must retain the above copyright notice,
+      this list of conditions and the following disclaimer.
+    * Redistributions in binary form must reproduce the above copyright
+      notice, this list of conditions and the following disclaimer in the
+      documentation and/or other materials provided with the distribution.
+    * Neither the name of Intel Corporation nor the names of its contributors
+      may be used to endorse or promote products derived from this software
+      without specific prior written permission.
+
+  THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
+  AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
+  IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE
+  ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE
+  LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR
+  CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF
+  SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS
+  INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN
+  CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE)
+  ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF
+  THE POSSIBILITY OF SUCH DAMAGE.
+******************************************************************************
+* Contents: Native C interface to LAPACK
+* Author: Intel Corporation
+* Generated November, 2011
+*****************************************************************************/
+
+#ifndef _MKL_LAPACKE_H_
+
+#ifndef _LAPACKE_H_
+#define _LAPACKE_H_
+
+/*
+*  Turn on HAVE_LAPACK_CONFIG_H to redefine C-LAPACK datatypes
+*/
+#ifdef HAVE_LAPACK_CONFIG_H
+#include "lapacke_config.h"
+#endif
+
+#ifdef __cplusplus
+extern "C" {
+#endif /* __cplusplus */
+
+#include <stdlib.h>
+
+#ifndef lapack_int
+#define lapack_int     int
+#endif
+
+#ifndef lapack_logical
+#define lapack_logical lapack_int
+#endif
+
+/* Complex types are structures equivalent to the
+* Fortran complex types COMPLEX(4) and COMPLEX(8).
+*
+* One can also redefine the types with his own types
+* for example by including in the code definitions like
+*
+* #define lapack_complex_float std::complex<float>
+* #define lapack_complex_double std::complex<double>
+*
+* or define these types in the command line:
+*
+* -Dlapack_complex_float="std::complex<float>"
+* -Dlapack_complex_double="std::complex<double>"
+*/
+
+#ifndef LAPACK_COMPLEX_CUSTOM
+
+/* Complex type (single precision) */
+#ifndef lapack_complex_float
+#include <complex.h>
+#define lapack_complex_float    float _Complex
+#endif
+
+#ifndef lapack_complex_float_real
+#define lapack_complex_float_real(z)       (creal(z))
+#endif
+
+#ifndef lapack_complex_float_imag
+#define lapack_complex_float_imag(z)       (cimag(z))
+#endif
+
+lapack_complex_float lapack_make_complex_float( float re, float im );
+
+/* Complex type (double precision) */
+#ifndef lapack_complex_double
+#include <complex.h>
+#define lapack_complex_double   double _Complex
+#endif
+
+#ifndef lapack_complex_double_real
+#define lapack_complex_double_real(z)      (creal(z))
+#endif
+
+#ifndef lapack_complex_double_imag
+#define lapack_complex_double_imag(z)       (cimag(z))
+#endif
+
+lapack_complex_double lapack_make_complex_double( double re, double im );
+
+#endif
+
+#ifndef LAPACKE_malloc
+#define LAPACKE_malloc( size ) malloc( size )
+#endif
+#ifndef LAPACKE_free
+#define LAPACKE_free( p )      free( p )
+#endif
+
+#define LAPACK_C2INT( x ) (lapack_int)(*((float*)&x ))
+#define LAPACK_Z2INT( x ) (lapack_int)(*((double*)&x ))
+
+#define LAPACK_ROW_MAJOR               101
+#define LAPACK_COL_MAJOR               102
+
+#define LAPACK_WORK_MEMORY_ERROR       -1010
+#define LAPACK_TRANSPOSE_MEMORY_ERROR  -1011
+
+/* Callback logical functions of one, two, or three arguments are used
+*  to select eigenvalues to sort to the top left of the Schur form.
+*  The value is selected if function returns TRUE (non-zero). */
+
+typedef lapack_logical (*LAPACK_S_SELECT2) ( const float*, const float* );
+typedef lapack_logical (*LAPACK_S_SELECT3)
+    ( const float*, const float*, const float* );
+typedef lapack_logical (*LAPACK_D_SELECT2) ( const double*, const double* );
+typedef lapack_logical (*LAPACK_D_SELECT3)
+    ( const double*, const double*, const double* );
+
+typedef lapack_logical (*LAPACK_C_SELECT1) ( const lapack_complex_float* );
+typedef lapack_logical (*LAPACK_C_SELECT2)
+    ( const lapack_complex_float*, const lapack_complex_float* );
+typedef lapack_logical (*LAPACK_Z_SELECT1) ( const lapack_complex_double* );
+typedef lapack_logical (*LAPACK_Z_SELECT2)
+    ( const lapack_complex_double*, const lapack_complex_double* );
+
+#include "lapacke_mangling.h"
+
+#define LAPACK_lsame LAPACK_GLOBAL(lsame,LSAME)
+lapack_logical LAPACK_lsame( char* ca,  char* cb,
+                              lapack_int lca, lapack_int lcb );
+
+/* C-LAPACK function prototypes */
+
+lapack_int LAPACKE_sbdsdc( int matrix_order, char uplo, char compq,
+                           lapack_int n, float* d, float* e, float* u,
+                           lapack_int ldu, float* vt, lapack_int ldvt, float* q,
+                           lapack_int* iq );
+lapack_int LAPACKE_dbdsdc( int matrix_order, char uplo, char compq,
+                           lapack_int n, double* d, double* e, double* u,
+                           lapack_int ldu, double* vt, lapack_int ldvt,
+                           double* q, lapack_int* iq );
+
+lapack_int LAPACKE_sbdsqr( int matrix_order, char uplo, lapack_int n,
+                           lapack_int ncvt, lapack_int nru, lapack_int ncc,
+                           float* d, float* e, float* vt, lapack_int ldvt,
+                           float* u, lapack_int ldu, float* c, lapack_int ldc );
+lapack_int LAPACKE_dbdsqr( int matrix_order, char uplo, lapack_int n,
+                           lapack_int ncvt, lapack_int nru, lapack_int ncc,
+                           double* d, double* e, double* vt, lapack_int ldvt,
+                           double* u, lapack_int ldu, double* c,
+                           lapack_int ldc );
+lapack_int LAPACKE_cbdsqr( int matrix_order, char uplo, lapack_int n,
+                           lapack_int ncvt, lapack_int nru, lapack_int ncc,
+                           float* d, float* e, lapack_complex_float* vt,
+                           lapack_int ldvt, lapack_complex_float* u,
+                           lapack_int ldu, lapack_complex_float* c,
+                           lapack_int ldc );
+lapack_int LAPACKE_zbdsqr( int matrix_order, char uplo, lapack_int n,
+                           lapack_int ncvt, lapack_int nru, lapack_int ncc,
+                           double* d, double* e, lapack_complex_double* vt,
+                           lapack_int ldvt, lapack_complex_double* u,
+                           lapack_int ldu, lapack_complex_double* c,
+                           lapack_int ldc );
+
+lapack_int LAPACKE_sdisna( char job, lapack_int m, lapack_int n, const float* d,
+                           float* sep );
+lapack_int LAPACKE_ddisna( char job, lapack_int m, lapack_int n,
+                           const double* d, double* sep );
+
+lapack_int LAPACKE_sgbbrd( int matrix_order, char vect, lapack_int m,
+                           lapack_int n, lapack_int ncc, lapack_int kl,
+                           lapack_int ku, float* ab, lapack_int ldab, float* d,
+                           float* e, float* q, lapack_int ldq, float* pt,
+                           lapack_int ldpt, float* c, lapack_int ldc );
+lapack_int LAPACKE_dgbbrd( int matrix_order, char vect, lapack_int m,
+                           lapack_int n, lapack_int ncc, lapack_int kl,
+                           lapack_int ku, double* ab, lapack_int ldab,
+                           double* d, double* e, double* q, lapack_int ldq,
+                           double* pt, lapack_int ldpt, double* c,
+                           lapack_int ldc );
+lapack_int LAPACKE_cgbbrd( int matrix_order, char vect, lapack_int m,
+                           lapack_int n, lapack_int ncc, lapack_int kl,
+                           lapack_int ku, lapack_complex_float* ab,
+                           lapack_int ldab, float* d, float* e,
+                           lapack_complex_float* q, lapack_int ldq,
+                           lapack_complex_float* pt, lapack_int ldpt,
+                           lapack_complex_float* c, lapack_int ldc );
+lapack_int LAPACKE_zgbbrd( int matrix_order, char vect, lapack_int m,
+                           lapack_int n, lapack_int ncc, lapack_int kl,
+                           lapack_int ku, lapack_complex_double* ab,
+                           lapack_int ldab, double* d, double* e,
+                           lapack_complex_double* q, lapack_int ldq,
+                           lapack_complex_double* pt, lapack_int ldpt,
+                           lapack_complex_double* c, lapack_int ldc );
+
+lapack_int LAPACKE_sgbcon( int matrix_order, char norm, lapack_int n,
+                           lapack_int kl, lapack_int ku, const float* ab,
+                           lapack_int ldab, const lapack_int* ipiv, float anorm,
+                           float* rcond );
+lapack_int LAPACKE_dgbcon( int matrix_order, char norm, lapack_int n,
+                           lapack_int kl, lapack_int ku, const double* ab,
+                           lapack_int ldab, const lapack_int* ipiv,
+                           double anorm, double* rcond );
+lapack_int LAPACKE_cgbcon( int matrix_order, char norm, lapack_int n,
+                           lapack_int kl, lapack_int ku,
+                           const lapack_complex_float* ab, lapack_int ldab,
+                           const lapack_int* ipiv, float anorm, float* rcond );
+lapack_int LAPACKE_zgbcon( int matrix_order, char norm, lapack_int n,
+                           lapack_int kl, lapack_int ku,
+                           const lapack_complex_double* ab, lapack_int ldab,
+                           const lapack_int* ipiv, double anorm,
+                           double* rcond );
+
+lapack_int LAPACKE_sgbequ( int matrix_order, lapack_int m, lapack_int n,
+                           lapack_int kl, lapack_int ku, const float* ab,
+                           lapack_int ldab, float* r, float* c, float* rowcnd,
+                           float* colcnd, float* amax );
+lapack_int LAPACKE_dgbequ( int matrix_order, lapack_int m, lapack_int n,
+                           lapack_int kl, lapack_int ku, const double* ab,
+                           lapack_int ldab, double* r, double* c,
+                           double* rowcnd, double* colcnd, double* amax );
+lapack_int LAPACKE_cgbequ( int matrix_order, lapack_int m, lapack_int n,
+                           lapack_int kl, lapack_int ku,
+                           const lapack_complex_float* ab, lapack_int ldab,
+                           float* r, float* c, float* rowcnd, float* colcnd,
+                           float* amax );
+lapack_int LAPACKE_zgbequ( int matrix_order, lapack_int m, lapack_int n,
+                           lapack_int kl, lapack_int ku,
+                           const lapack_complex_double* ab, lapack_int ldab,
+                           double* r, double* c, double* rowcnd, double* colcnd,
+                           double* amax );
+
+lapack_int LAPACKE_sgbequb( int matrix_order, lapack_int m, lapack_int n,
+                            lapack_int kl, lapack_int ku, const float* ab,
+                            lapack_int ldab, float* r, float* c, float* rowcnd,
+                            float* colcnd, float* amax );
+lapack_int LAPACKE_dgbequb( int matrix_order, lapack_int m, lapack_int n,
+                            lapack_int kl, lapack_int ku, const double* ab,
+                            lapack_int ldab, double* r, double* c,
+                            double* rowcnd, double* colcnd, double* amax );
+lapack_int LAPACKE_cgbequb( int matrix_order, lapack_int m, lapack_int n,
+                            lapack_int kl, lapack_int ku,
+                            const lapack_complex_float* ab, lapack_int ldab,
+                            float* r, float* c, float* rowcnd, float* colcnd,
+                            float* amax );
+lapack_int LAPACKE_zgbequb( int matrix_order, lapack_int m, lapack_int n,
+                            lapack_int kl, lapack_int ku,
+                            const lapack_complex_double* ab, lapack_int ldab,
+                            double* r, double* c, double* rowcnd,
+                            double* colcnd, double* amax );
+
+lapack_int LAPACKE_sgbrfs( int matrix_order, char trans, lapack_int n,
+                           lapack_int kl, lapack_int ku, lapack_int nrhs,
+                           const float* ab, lapack_int ldab, const float* afb,
+                           lapack_int ldafb, const lapack_int* ipiv,
+                           const float* b, lapack_int ldb, float* x,
+                           lapack_int ldx, float* ferr, float* berr );
+lapack_int LAPACKE_dgbrfs( int matrix_order, char trans, lapack_int n,
+                           lapack_int kl, lapack_int ku, lapack_int nrhs,
+                           const double* ab, lapack_int ldab, const double* afb,
+                           lapack_int ldafb, const lapack_int* ipiv,
+                           const double* b, lapack_int ldb, double* x,
+                           lapack_int ldx, double* ferr, double* berr );
+lapack_int LAPACKE_cgbrfs( int matrix_order, char trans, lapack_int n,
+                           lapack_int kl, lapack_int ku, lapack_int nrhs,
+                           const lapack_complex_float* ab, lapack_int ldab,
+                           const lapack_complex_float* afb, lapack_int ldafb,
+                           const lapack_int* ipiv,
+                           const lapack_complex_float* b, lapack_int ldb,
+                           lapack_complex_float* x, lapack_int ldx, float* ferr,
+                           float* berr );
+lapack_int LAPACKE_zgbrfs( int matrix_order, char trans, lapack_int n,
+                           lapack_int kl, lapack_int ku, lapack_int nrhs,
+                           const lapack_complex_double* ab, lapack_int ldab,
+                           const lapack_complex_double* afb, lapack_int ldafb,
+                           const lapack_int* ipiv,
+                           const lapack_complex_double* b, lapack_int ldb,
+                           lapack_complex_double* x, lapack_int ldx,
+                           double* ferr, double* berr );
+
+lapack_int LAPACKE_sgbrfsx( int matrix_order, char trans, char equed,
+                            lapack_int n, lapack_int kl, lapack_int ku,
+                            lapack_int nrhs, const float* ab, lapack_int ldab,
+                            const float* afb, lapack_int ldafb,
+                            const lapack_int* ipiv, const float* r,
+                            const float* c, const float* b, lapack_int ldb,
+                            float* x, lapack_int ldx, float* rcond, float* berr,
+                            lapack_int n_err_bnds, float* err_bnds_norm,
+                            float* err_bnds_comp, lapack_int nparams,
+                            float* params );
+lapack_int LAPACKE_dgbrfsx( int matrix_order, char trans, char equed,
+                            lapack_int n, lapack_int kl, lapack_int ku,
+                            lapack_int nrhs, const double* ab, lapack_int ldab,
+                            const double* afb, lapack_int ldafb,
+                            const lapack_int* ipiv, const double* r,
+                            const double* c, const double* b, lapack_int ldb,
+                            double* x, lapack_int ldx, double* rcond,
+                            double* berr, lapack_int n_err_bnds,
+                            double* err_bnds_norm, double* err_bnds_comp,
+                            lapack_int nparams, double* params );
+lapack_int LAPACKE_cgbrfsx( int matrix_order, char trans, char equed,
+                            lapack_int n, lapack_int kl, lapack_int ku,
+                            lapack_int nrhs, const lapack_complex_float* ab,
+                            lapack_int ldab, const lapack_complex_float* afb,
+                            lapack_int ldafb, const lapack_int* ipiv,
+                            const float* r, const float* c,
+                            const lapack_complex_float* b, lapack_int ldb,
+                            lapack_complex_float* x, lapack_int ldx,
+                            float* rcond, float* berr, lapack_int n_err_bnds,
+                            float* err_bnds_norm, float* err_bnds_comp,
+                            lapack_int nparams, float* params );
+lapack_int LAPACKE_zgbrfsx( int matrix_order, char trans, char equed,
+                            lapack_int n, lapack_int kl, lapack_int ku,
+                            lapack_int nrhs, const lapack_complex_double* ab,
+                            lapack_int ldab, const lapack_complex_double* afb,
+                            lapack_int ldafb, const lapack_int* ipiv,
+                            const double* r, const double* c,
+                            const lapack_complex_double* b, lapack_int ldb,
+                            lapack_complex_double* x, lapack_int ldx,
+                            double* rcond, double* berr, lapack_int n_err_bnds,
+                            double* err_bnds_norm, double* err_bnds_comp,
+                            lapack_int nparams, double* params );
+
+lapack_int LAPACKE_sgbsv( int matrix_order, lapack_int n, lapack_int kl,
+                          lapack_int ku, lapack_int nrhs, float* ab,
+                          lapack_int ldab, lapack_int* ipiv, float* b,
+                          lapack_int ldb );
+lapack_int LAPACKE_dgbsv( int matrix_order, lapack_int n, lapack_int kl,
+                          lapack_int ku, lapack_int nrhs, double* ab,
+                          lapack_int ldab, lapack_int* ipiv, double* b,
+                          lapack_int ldb );
+lapack_int LAPACKE_cgbsv( int matrix_order, lapack_int n, lapack_int kl,
+                          lapack_int ku, lapack_int nrhs,
+                          lapack_complex_float* ab, lapack_int ldab,
+                          lapack_int* ipiv, lapack_complex_float* b,
+                          lapack_int ldb );
+lapack_int LAPACKE_zgbsv( int matrix_order, lapack_int n, lapack_int kl,
+                          lapack_int ku, lapack_int nrhs,
+                          lapack_complex_double* ab, lapack_int ldab,
+                          lapack_int* ipiv, lapack_complex_double* b,
+                          lapack_int ldb );
+
+lapack_int LAPACKE_sgbsvx( int matrix_order, char fact, char trans,
+                           lapack_int n, lapack_int kl, lapack_int ku,
+                           lapack_int nrhs, float* ab, lapack_int ldab,
+                           float* afb, lapack_int ldafb, lapack_int* ipiv,
+                           char* equed, float* r, float* c, float* b,
+                           lapack_int ldb, float* x, lapack_int ldx,
+                           float* rcond, float* ferr, float* berr,
+                           float* rpivot );
+lapack_int LAPACKE_dgbsvx( int matrix_order, char fact, char trans,
+                           lapack_int n, lapack_int kl, lapack_int ku,
+                           lapack_int nrhs, double* ab, lapack_int ldab,
+                           double* afb, lapack_int ldafb, lapack_int* ipiv,
+                           char* equed, double* r, double* c, double* b,
+                           lapack_int ldb, double* x, lapack_int ldx,
+                           double* rcond, double* ferr, double* berr,
+                           double* rpivot );
+lapack_int LAPACKE_cgbsvx( int matrix_order, char fact, char trans,
+                           lapack_int n, lapack_int kl, lapack_int ku,
+                           lapack_int nrhs, lapack_complex_float* ab,
+                           lapack_int ldab, lapack_complex_float* afb,
+                           lapack_int ldafb, lapack_int* ipiv, char* equed,
+                           float* r, float* c, lapack_complex_float* b,
+                           lapack_int ldb, lapack_complex_float* x,
+                           lapack_int ldx, float* rcond, float* ferr,
+                           float* berr, float* rpivot );
+lapack_int LAPACKE_zgbsvx( int matrix_order, char fact, char trans,
+                           lapack_int n, lapack_int kl, lapack_int ku,
+                           lapack_int nrhs, lapack_complex_double* ab,
+                           lapack_int ldab, lapack_complex_double* afb,
+                           lapack_int ldafb, lapack_int* ipiv, char* equed,
+                           double* r, double* c, lapack_complex_double* b,
+                           lapack_int ldb, lapack_complex_double* x,
+                           lapack_int ldx, double* rcond, double* ferr,
+                           double* berr, double* rpivot );
+
+lapack_int LAPACKE_sgbsvxx( int matrix_order, char fact, char trans,
+                            lapack_int n, lapack_int kl, lapack_int ku,
+                            lapack_int nrhs, float* ab, lapack_int ldab,
+                            float* afb, lapack_int ldafb, lapack_int* ipiv,
+                            char* equed, float* r, float* c, float* b,
+                            lapack_int ldb, float* x, lapack_int ldx,
+                            float* rcond, float* rpvgrw, float* berr,
+                            lapack_int n_err_bnds, float* err_bnds_norm,
+                            float* err_bnds_comp, lapack_int nparams,
+                            float* params );
+lapack_int LAPACKE_dgbsvxx( int matrix_order, char fact, char trans,
+                            lapack_int n, lapack_int kl, lapack_int ku,
+                            lapack_int nrhs, double* ab, lapack_int ldab,
+                            double* afb, lapack_int ldafb, lapack_int* ipiv,
+                            char* equed, double* r, double* c, double* b,
+                            lapack_int ldb, double* x, lapack_int ldx,
+                            double* rcond, double* rpvgrw, double* berr,
+                            lapack_int n_err_bnds, double* err_bnds_norm,
+                            double* err_bnds_comp, lapack_int nparams,
+                            double* params );
+lapack_int LAPACKE_cgbsvxx( int matrix_order, char fact, char trans,
+                            lapack_int n, lapack_int kl, lapack_int ku,
+                            lapack_int nrhs, lapack_complex_float* ab,
+                            lapack_int ldab, lapack_complex_float* afb,
+                            lapack_int ldafb, lapack_int* ipiv, char* equed,
+                            float* r, float* c, lapack_complex_float* b,
+                            lapack_int ldb, lapack_complex_float* x,
+                            lapack_int ldx, float* rcond, float* rpvgrw,
+                            float* berr, lapack_int n_err_bnds,
+                            float* err_bnds_norm, float* err_bnds_comp,
+                            lapack_int nparams, float* params );
+lapack_int LAPACKE_zgbsvxx( int matrix_order, char fact, char trans,
+                            lapack_int n, lapack_int kl, lapack_int ku,
+                            lapack_int nrhs, lapack_complex_double* ab,
+                            lapack_int ldab, lapack_complex_double* afb,
+                            lapack_int ldafb, lapack_int* ipiv, char* equed,
+                            double* r, double* c, lapack_complex_double* b,
+                            lapack_int ldb, lapack_complex_double* x,
+                            lapack_int ldx, double* rcond, double* rpvgrw,
+                            double* berr, lapack_int n_err_bnds,
+                            double* err_bnds_norm, double* err_bnds_comp,
+                            lapack_int nparams, double* params );
+
+lapack_int LAPACKE_sgbtrf( int matrix_order, lapack_int m, lapack_int n,
+                           lapack_int kl, lapack_int ku, float* ab,
+                           lapack_int ldab, lapack_int* ipiv );
+lapack_int LAPACKE_dgbtrf( int matrix_order, lapack_int m, lapack_int n,
+                           lapack_int kl, lapack_int ku, double* ab,
+                           lapack_int ldab, lapack_int* ipiv );
+lapack_int LAPACKE_cgbtrf( int matrix_order, lapack_int m, lapack_int n,
+                           lapack_int kl, lapack_int ku,
+                           lapack_complex_float* ab, lapack_int ldab,
+                           lapack_int* ipiv );
+lapack_int LAPACKE_zgbtrf( int matrix_order, lapack_int m, lapack_int n,
+                           lapack_int kl, lapack_int ku,
+                           lapack_complex_double* ab, lapack_int ldab,
+                           lapack_int* ipiv );
+
+lapack_int LAPACKE_sgbtrs( int matrix_order, char trans, lapack_int n,
+                           lapack_int kl, lapack_int ku, lapack_int nrhs,
+                           const float* ab, lapack_int ldab,
+                           const lapack_int* ipiv, float* b, lapack_int ldb );
+lapack_int LAPACKE_dgbtrs( int matrix_order, char trans, lapack_int n,
+                           lapack_int kl, lapack_int ku, lapack_int nrhs,
+                           const double* ab, lapack_int ldab,
+                           const lapack_int* ipiv, double* b, lapack_int ldb );
+lapack_int LAPACKE_cgbtrs( int matrix_order, char trans, lapack_int n,
+                           lapack_int kl, lapack_int ku, lapack_int nrhs,
+                           const lapack_complex_float* ab, lapack_int ldab,
+                           const lapack_int* ipiv, lapack_complex_float* b,
+                           lapack_int ldb );
+lapack_int LAPACKE_zgbtrs( int matrix_order, char trans, lapack_int n,
+                           lapack_int kl, lapack_int ku, lapack_int nrhs,
+                           const lapack_complex_double* ab, lapack_int ldab,
+                           const lapack_int* ipiv, lapack_complex_double* b,
+                           lapack_int ldb );
+
+lapack_int LAPACKE_sgebak( int matrix_order, char job, char side, lapack_int n,
+                           lapack_int ilo, lapack_int ihi, const float* scale,
+                           lapack_int m, float* v, lapack_int ldv );
+lapack_int LAPACKE_dgebak( int matrix_order, char job, char side, lapack_int n,
+                           lapack_int ilo, lapack_int ihi, const double* scale,
+                           lapack_int m, double* v, lapack_int ldv );
+lapack_int LAPACKE_cgebak( int matrix_order, char job, char side, lapack_int n,
+                           lapack_int ilo, lapack_int ihi, const float* scale,
+                           lapack_int m, lapack_complex_float* v,
+                           lapack_int ldv );
+lapack_int LAPACKE_zgebak( int matrix_order, char job, char side, lapack_int n,
+                           lapack_int ilo, lapack_int ihi, const double* scale,
+                           lapack_int m, lapack_complex_double* v,
+                           lapack_int ldv );
+
+lapack_int LAPACKE_sgebal( int matrix_order, char job, lapack_int n, float* a,
+                           lapack_int lda, lapack_int* ilo, lapack_int* ihi,
+                           float* scale );
+lapack_int LAPACKE_dgebal( int matrix_order, char job, lapack_int n, double* a,
+                           lapack_int lda, lapack_int* ilo, lapack_int* ihi,
+                           double* scale );
+lapack_int LAPACKE_cgebal( int matrix_order, char job, lapack_int n,
+                           lapack_complex_float* a, lapack_int lda,
+                           lapack_int* ilo, lapack_int* ihi, float* scale );
+lapack_int LAPACKE_zgebal( int matrix_order, char job, lapack_int n,
+                           lapack_complex_double* a, lapack_int lda,
+                           lapack_int* ilo, lapack_int* ihi, double* scale );
+
+lapack_int LAPACKE_sgebrd( int matrix_order, lapack_int m, lapack_int n,
+                           float* a, lapack_int lda, float* d, float* e,
+                           float* tauq, float* taup );
+lapack_int LAPACKE_dgebrd( int matrix_order, lapack_int m, lapack_int n,
+                           double* a, lapack_int lda, double* d, double* e,
+                           double* tauq, double* taup );
+lapack_int LAPACKE_cgebrd( int matrix_order, lapack_int m, lapack_int n,
+                           lapack_complex_float* a, lapack_int lda, float* d,
+                           float* e, lapack_complex_float* tauq,
+                           lapack_complex_float* taup );
+lapack_int LAPACKE_zgebrd( int matrix_order, lapack_int m, lapack_int n,
+                           lapack_complex_double* a, lapack_int lda, double* d,
+                           double* e, lapack_complex_double* tauq,
+                           lapack_complex_double* taup );
+
+lapack_int LAPACKE_sgecon( int matrix_order, char norm, lapack_int n,
+                           const float* a, lapack_int lda, float anorm,
+                           float* rcond );
+lapack_int LAPACKE_dgecon( int matrix_order, char norm, lapack_int n,
+                           const double* a, lapack_int lda, double anorm,
+                           double* rcond );
+lapack_int LAPACKE_cgecon( int matrix_order, char norm, lapack_int n,
+                           const lapack_complex_float* a, lapack_int lda,
+                           float anorm, float* rcond );
+lapack_int LAPACKE_zgecon( int matrix_order, char norm, lapack_int n,
+                           const lapack_complex_double* a, lapack_int lda,
+                           double anorm, double* rcond );
+
+lapack_int LAPACKE_sgeequ( int matrix_order, lapack_int m, lapack_int n,
+                           const float* a, lapack_int lda, float* r, float* c,
+                           float* rowcnd, float* colcnd, float* amax );
+lapack_int LAPACKE_dgeequ( int matrix_order, lapack_int m, lapack_int n,
+                           const double* a, lapack_int lda, double* r,
+                           double* c, double* rowcnd, double* colcnd,
+                           double* amax );
+lapack_int LAPACKE_cgeequ( int matrix_order, lapack_int m, lapack_int n,
+                           const lapack_complex_float* a, lapack_int lda,
+                           float* r, float* c, float* rowcnd, float* colcnd,
+                           float* amax );
+lapack_int LAPACKE_zgeequ( int matrix_order, lapack_int m, lapack_int n,
+                           const lapack_complex_double* a, lapack_int lda,
+                           double* r, double* c, double* rowcnd, double* colcnd,
+                           double* amax );
+
+lapack_int LAPACKE_sgeequb( int matrix_order, lapack_int m, lapack_int n,
+                            const float* a, lapack_int lda, float* r, float* c,
+                            float* rowcnd, float* colcnd, float* amax );
+lapack_int LAPACKE_dgeequb( int matrix_order, lapack_int m, lapack_int n,
+                            const double* a, lapack_int lda, double* r,
+                            double* c, double* rowcnd, double* colcnd,
+                            double* amax );
+lapack_int LAPACKE_cgeequb( int matrix_order, lapack_int m, lapack_int n,
+                            const lapack_complex_float* a, lapack_int lda,
+                            float* r, float* c, float* rowcnd, float* colcnd,
+                            float* amax );
+lapack_int LAPACKE_zgeequb( int matrix_order, lapack_int m, lapack_int n,
+                            const lapack_complex_double* a, lapack_int lda,
+                            double* r, double* c, double* rowcnd,
+                            double* colcnd, double* amax );
+
+lapack_int LAPACKE_sgees( int matrix_order, char jobvs, char sort,
+                          LAPACK_S_SELECT2 select, lapack_int n, float* a,
+                          lapack_int lda, lapack_int* sdim, float* wr,
+                          float* wi, float* vs, lapack_int ldvs );
+lapack_int LAPACKE_dgees( int matrix_order, char jobvs, char sort,
+                          LAPACK_D_SELECT2 select, lapack_int n, double* a,
+                          lapack_int lda, lapack_int* sdim, double* wr,
+                          double* wi, double* vs, lapack_int ldvs );
+lapack_int LAPACKE_cgees( int matrix_order, char jobvs, char sort,
+                          LAPACK_C_SELECT1 select, lapack_int n,
+                          lapack_complex_float* a, lapack_int lda,
+                          lapack_int* sdim, lapack_complex_float* w,
+                          lapack_complex_float* vs, lapack_int ldvs );
+lapack_int LAPACKE_zgees( int matrix_order, char jobvs, char sort,
+                          LAPACK_Z_SELECT1 select, lapack_int n,
+                          lapack_complex_double* a, lapack_int lda,
+                          lapack_int* sdim, lapack_complex_double* w,
+                          lapack_complex_double* vs, lapack_int ldvs );
+
+lapack_int LAPACKE_sgeesx( int matrix_order, char jobvs, char sort,
+                           LAPACK_S_SELECT2 select, char sense, lapack_int n,
+                           float* a, lapack_int lda, lapack_int* sdim,
+                           float* wr, float* wi, float* vs, lapack_int ldvs,
+                           float* rconde, float* rcondv );
+lapack_int LAPACKE_dgeesx( int matrix_order, char jobvs, char sort,
+                           LAPACK_D_SELECT2 select, char sense, lapack_int n,
+                           double* a, lapack_int lda, lapack_int* sdim,
+                           double* wr, double* wi, double* vs, lapack_int ldvs,
+                           double* rconde, double* rcondv );
+lapack_int LAPACKE_cgeesx( int matrix_order, char jobvs, char sort,
+                           LAPACK_C_SELECT1 select, char sense, lapack_int n,
+                           lapack_complex_float* a, lapack_int lda,
+                           lapack_int* sdim, lapack_complex_float* w,
+                           lapack_complex_float* vs, lapack_int ldvs,
+                           float* rconde, float* rcondv );
+lapack_int LAPACKE_zgeesx( int matrix_order, char jobvs, char sort,
+                           LAPACK_Z_SELECT1 select, char sense, lapack_int n,
+                           lapack_complex_double* a, lapack_int lda,
+                           lapack_int* sdim, lapack_complex_double* w,
+                           lapack_complex_double* vs, lapack_int ldvs,
+                           double* rconde, double* rcondv );
+
+lapack_int LAPACKE_sgeev( int matrix_order, char jobvl, char jobvr,
+                          lapack_int n, float* a, lapack_int lda, float* wr,
+                          float* wi, float* vl, lapack_int ldvl, float* vr,
+                          lapack_int ldvr );
+lapack_int LAPACKE_dgeev( int matrix_order, char jobvl, char jobvr,
+                          lapack_int n, double* a, lapack_int lda, double* wr,
+                          double* wi, double* vl, lapack_int ldvl, double* vr,
+                          lapack_int ldvr );
+lapack_int LAPACKE_cgeev( int matrix_order, char jobvl, char jobvr,
+                          lapack_int n, lapack_complex_float* a, lapack_int lda,
+                          lapack_complex_float* w, lapack_complex_float* vl,
+                          lapack_int ldvl, lapack_complex_float* vr,
+                          lapack_int ldvr );
+lapack_int LAPACKE_zgeev( int matrix_order, char jobvl, char jobvr,
+                          lapack_int n, lapack_complex_double* a,
+                          lapack_int lda, lapack_complex_double* w,
+                          lapack_complex_double* vl, lapack_int ldvl,
+                          lapack_complex_double* vr, lapack_int ldvr );
+
+lapack_int LAPACKE_sgeevx( int matrix_order, char balanc, char jobvl,
+                           char jobvr, char sense, lapack_int n, float* a,
+                           lapack_int lda, float* wr, float* wi, float* vl,
+                           lapack_int ldvl, float* vr, lapack_int ldvr,
+                           lapack_int* ilo, lapack_int* ihi, float* scale,
+                           float* abnrm, float* rconde, float* rcondv );
+lapack_int LAPACKE_dgeevx( int matrix_order, char balanc, char jobvl,
+                           char jobvr, char sense, lapack_int n, double* a,
+                           lapack_int lda, double* wr, double* wi, double* vl,
+                           lapack_int ldvl, double* vr, lapack_int ldvr,
+                           lapack_int* ilo, lapack_int* ihi, double* scale,
+                           double* abnrm, double* rconde, double* rcondv );
+lapack_int LAPACKE_cgeevx( int matrix_order, char balanc, char jobvl,
+                           char jobvr, char sense, lapack_int n,
+                           lapack_complex_float* a, lapack_int lda,
+                           lapack_complex_float* w, lapack_complex_float* vl,
+                           lapack_int ldvl, lapack_complex_float* vr,
+                           lapack_int ldvr, lapack_int* ilo, lapack_int* ihi,
+                           float* scale, float* abnrm, float* rconde,
+                           float* rcondv );
+lapack_int LAPACKE_zgeevx( int matrix_order, char balanc, char jobvl,
+                           char jobvr, char sense, lapack_int n,
+                           lapack_complex_double* a, lapack_int lda,
+                           lapack_complex_double* w, lapack_complex_double* vl,
+                           lapack_int ldvl, lapack_complex_double* vr,
+                           lapack_int ldvr, lapack_int* ilo, lapack_int* ihi,
+                           double* scale, double* abnrm, double* rconde,
+                           double* rcondv );
+
+lapack_int LAPACKE_sgehrd( int matrix_order, lapack_int n, lapack_int ilo,
+                           lapack_int ihi, float* a, lapack_int lda,
+                           float* tau );
+lapack_int LAPACKE_dgehrd( int matrix_order, lapack_int n, lapack_int ilo,
+                           lapack_int ihi, double* a, lapack_int lda,
+                           double* tau );
+lapack_int LAPACKE_cgehrd( int matrix_order, lapack_int n, lapack_int ilo,
+                           lapack_int ihi, lapack_complex_float* a,
+                           lapack_int lda, lapack_complex_float* tau );
+lapack_int LAPACKE_zgehrd( int matrix_order, lapack_int n, lapack_int ilo,
+                           lapack_int ihi, lapack_complex_double* a,
+                           lapack_int lda, lapack_complex_double* tau );
+
+lapack_int LAPACKE_sgejsv( int matrix_order, char joba, char jobu, char jobv,
+                           char jobr, char jobt, char jobp, lapack_int m,
+                           lapack_int n, float* a, lapack_int lda, float* sva,
+                           float* u, lapack_int ldu, float* v, lapack_int ldv,
+                           float* stat, lapack_int* istat );
+lapack_int LAPACKE_dgejsv( int matrix_order, char joba, char jobu, char jobv,
+                           char jobr, char jobt, char jobp, lapack_int m,
+                           lapack_int n, double* a, lapack_int lda, double* sva,
+                           double* u, lapack_int ldu, double* v, lapack_int ldv,
+                           double* stat, lapack_int* istat );
+
+lapack_int LAPACKE_sgelq2( int matrix_order, lapack_int m, lapack_int n,
+                           float* a, lapack_int lda, float* tau );
+lapack_int LAPACKE_dgelq2( int matrix_order, lapack_int m, lapack_int n,
+                           double* a, lapack_int lda, double* tau );
+lapack_int LAPACKE_cgelq2( int matrix_order, lapack_int m, lapack_int n,
+                           lapack_complex_float* a, lapack_int lda,
+                           lapack_complex_float* tau );
+lapack_int LAPACKE_zgelq2( int matrix_order, lapack_int m, lapack_int n,
+                           lapack_complex_double* a, lapack_int lda,
+                           lapack_complex_double* tau );
+
+lapack_int LAPACKE_sgelqf( int matrix_order, lapack_int m, lapack_int n,
+                           float* a, lapack_int lda, float* tau );
+lapack_int LAPACKE_dgelqf( int matrix_order, lapack_int m, lapack_int n,
+                           double* a, lapack_int lda, double* tau );
+lapack_int LAPACKE_cgelqf( int matrix_order, lapack_int m, lapack_int n,
+                           lapack_complex_float* a, lapack_int lda,
+                           lapack_complex_float* tau );
+lapack_int LAPACKE_zgelqf( int matrix_order, lapack_int m, lapack_int n,
+                           lapack_complex_double* a, lapack_int lda,
+                           lapack_complex_double* tau );
+
+lapack_int LAPACKE_sgels( int matrix_order, char trans, lapack_int m,
+                          lapack_int n, lapack_int nrhs, float* a,
+                          lapack_int lda, float* b, lapack_int ldb );
+lapack_int LAPACKE_dgels( int matrix_order, char trans, lapack_int m,
+                          lapack_int n, lapack_int nrhs, double* a,
+                          lapack_int lda, double* b, lapack_int ldb );
+lapack_int LAPACKE_cgels( int matrix_order, char trans, lapack_int m,
+                          lapack_int n, lapack_int nrhs,
+                          lapack_complex_float* a, lapack_int lda,
+                          lapack_complex_float* b, lapack_int ldb );
+lapack_int LAPACKE_zgels( int matrix_order, char trans, lapack_int m,
+                          lapack_int n, lapack_int nrhs,
+                          lapack_complex_double* a, lapack_int lda,
+                          lapack_complex_double* b, lapack_int ldb );
+
+lapack_int LAPACKE_sgelsd( int matrix_order, lapack_int m, lapack_int n,
+                           lapack_int nrhs, float* a, lapack_int lda, float* b,
+                           lapack_int ldb, float* s, float rcond,
+                           lapack_int* rank );
+lapack_int LAPACKE_dgelsd( int matrix_order, lapack_int m, lapack_int n,
+                           lapack_int nrhs, double* a, lapack_int lda,
+                           double* b, lapack_int ldb, double* s, double rcond,
+                           lapack_int* rank );
+lapack_int LAPACKE_cgelsd( int matrix_order, lapack_int m, lapack_int n,
+                           lapack_int nrhs, lapack_complex_float* a,
+                           lapack_int lda, lapack_complex_float* b,
+                           lapack_int ldb, float* s, float rcond,
+                           lapack_int* rank );
+lapack_int LAPACKE_zgelsd( int matrix_order, lapack_int m, lapack_int n,
+                           lapack_int nrhs, lapack_complex_double* a,
+                           lapack_int lda, lapack_complex_double* b,
+                           lapack_int ldb, double* s, double rcond,
+                           lapack_int* rank );
+
+lapack_int LAPACKE_sgelss( int matrix_order, lapack_int m, lapack_int n,
+                           lapack_int nrhs, float* a, lapack_int lda, float* b,
+                           lapack_int ldb, float* s, float rcond,
+                           lapack_int* rank );
+lapack_int LAPACKE_dgelss( int matrix_order, lapack_int m, lapack_int n,
+                           lapack_int nrhs, double* a, lapack_int lda,
+                           double* b, lapack_int ldb, double* s, double rcond,
+                           lapack_int* rank );
+lapack_int LAPACKE_cgelss( int matrix_order, lapack_int m, lapack_int n,
+                           lapack_int nrhs, lapack_complex_float* a,
+                           lapack_int lda, lapack_complex_float* b,
+                           lapack_int ldb, float* s, float rcond,
+                           lapack_int* rank );
+lapack_int LAPACKE_zgelss( int matrix_order, lapack_int m, lapack_int n,
+                           lapack_int nrhs, lapack_complex_double* a,
+                           lapack_int lda, lapack_complex_double* b,
+                           lapack_int ldb, double* s, double rcond,
+                           lapack_int* rank );
+
+lapack_int LAPACKE_sgelsy( int matrix_order, lapack_int m, lapack_int n,
+                           lapack_int nrhs, float* a, lapack_int lda, float* b,
+                           lapack_int ldb, lapack_int* jpvt, float rcond,
+                           lapack_int* rank );
+lapack_int LAPACKE_dgelsy( int matrix_order, lapack_int m, lapack_int n,
+                           lapack_int nrhs, double* a, lapack_int lda,
+                           double* b, lapack_int ldb, lapack_int* jpvt,
+                           double rcond, lapack_int* rank );
+lapack_int LAPACKE_cgelsy( int matrix_order, lapack_int m, lapack_int n,
+                           lapack_int nrhs, lapack_complex_float* a,
+                           lapack_int lda, lapack_complex_float* b,
+                           lapack_int ldb, lapack_int* jpvt, float rcond,
+                           lapack_int* rank );
+lapack_int LAPACKE_zgelsy( int matrix_order, lapack_int m, lapack_int n,
+                           lapack_int nrhs, lapack_complex_double* a,
+                           lapack_int lda, lapack_complex_double* b,
+                           lapack_int ldb, lapack_int* jpvt, double rcond,
+                           lapack_int* rank );
+
+lapack_int LAPACKE_sgeqlf( int matrix_order, lapack_int m, lapack_int n,
+                           float* a, lapack_int lda, float* tau );
+lapack_int LAPACKE_dgeqlf( int matrix_order, lapack_int m, lapack_int n,
+                           double* a, lapack_int lda, double* tau );
+lapack_int LAPACKE_cgeqlf( int matrix_order, lapack_int m, lapack_int n,
+                           lapack_complex_float* a, lapack_int lda,
+                           lapack_complex_float* tau );
+lapack_int LAPACKE_zgeqlf( int matrix_order, lapack_int m, lapack_int n,
+                           lapack_complex_double* a, lapack_int lda,
+                           lapack_complex_double* tau );
+
+lapack_int LAPACKE_sgeqp3( int matrix_order, lapack_int m, lapack_int n,
+                           float* a, lapack_int lda, lapack_int* jpvt,
+                           float* tau );
+lapack_int LAPACKE_dgeqp3( int matrix_order, lapack_int m, lapack_int n,
+                           double* a, lapack_int lda, lapack_int* jpvt,
+                           double* tau );
+lapack_int LAPACKE_cgeqp3( int matrix_order, lapack_int m, lapack_int n,
+                           lapack_complex_float* a, lapack_int lda,
+                           lapack_int* jpvt, lapack_complex_float* tau );
+lapack_int LAPACKE_zgeqp3( int matrix_order, lapack_int m, lapack_int n,
+                           lapack_complex_double* a, lapack_int lda,
+                           lapack_int* jpvt, lapack_complex_double* tau );
+
+lapack_int LAPACKE_sgeqpf( int matrix_order, lapack_int m, lapack_int n,
+                           float* a, lapack_int lda, lapack_int* jpvt,
+                           float* tau );
+lapack_int LAPACKE_dgeqpf( int matrix_order, lapack_int m, lapack_int n,
+                           double* a, lapack_int lda, lapack_int* jpvt,
+                           double* tau );
+lapack_int LAPACKE_cgeqpf( int matrix_order, lapack_int m, lapack_int n,
+                           lapack_complex_float* a, lapack_int lda,
+                           lapack_int* jpvt, lapack_complex_float* tau );
+lapack_int LAPACKE_zgeqpf( int matrix_order, lapack_int m, lapack_int n,
+                           lapack_complex_double* a, lapack_int lda,
+                           lapack_int* jpvt, lapack_complex_double* tau );
+
+lapack_int LAPACKE_sgeqr2( int matrix_order, lapack_int m, lapack_int n,
+                           float* a, lapack_int lda, float* tau );
+lapack_int LAPACKE_dgeqr2( int matrix_order, lapack_int m, lapack_int n,
+                           double* a, lapack_int lda, double* tau );
+lapack_int LAPACKE_cgeqr2( int matrix_order, lapack_int m, lapack_int n,
+                           lapack_complex_float* a, lapack_int lda,
+                           lapack_complex_float* tau );
+lapack_int LAPACKE_zgeqr2( int matrix_order, lapack_int m, lapack_int n,
+                           lapack_complex_double* a, lapack_int lda,
+                           lapack_complex_double* tau );
+
+lapack_int LAPACKE_sgeqrf( int matrix_order, lapack_int m, lapack_int n,
+                           float* a, lapack_int lda, float* tau );
+lapack_int LAPACKE_dgeqrf( int matrix_order, lapack_int m, lapack_int n,
+                           double* a, lapack_int lda, double* tau );
+lapack_int LAPACKE_cgeqrf( int matrix_order, lapack_int m, lapack_int n,
+                           lapack_complex_float* a, lapack_int lda,
+                           lapack_complex_float* tau );
+lapack_int LAPACKE_zgeqrf( int matrix_order, lapack_int m, lapack_int n,
+                           lapack_complex_double* a, lapack_int lda,
+                           lapack_complex_double* tau );
+
+lapack_int LAPACKE_sgeqrfp( int matrix_order, lapack_int m, lapack_int n,
+                            float* a, lapack_int lda, float* tau );
+lapack_int LAPACKE_dgeqrfp( int matrix_order, lapack_int m, lapack_int n,
+                            double* a, lapack_int lda, double* tau );
+lapack_int LAPACKE_cgeqrfp( int matrix_order, lapack_int m, lapack_int n,
+                            lapack_complex_float* a, lapack_int lda,
+                            lapack_complex_float* tau );
+lapack_int LAPACKE_zgeqrfp( int matrix_order, lapack_int m, lapack_int n,
+                            lapack_complex_double* a, lapack_int lda,
+                            lapack_complex_double* tau );
+
+lapack_int LAPACKE_sgerfs( int matrix_order, char trans, lapack_int n,
+                           lapack_int nrhs, const float* a, lapack_int lda,
+                           const float* af, lapack_int ldaf,
+                           const lapack_int* ipiv, const float* b,
+                           lapack_int ldb, float* x, lapack_int ldx,
+                           float* ferr, float* berr );
+lapack_int LAPACKE_dgerfs( int matrix_order, char trans, lapack_int n,
+                           lapack_int nrhs, const double* a, lapack_int lda,
+                           const double* af, lapack_int ldaf,
+                           const lapack_int* ipiv, const double* b,
+                           lapack_int ldb, double* x, lapack_int ldx,
+                           double* ferr, double* berr );
+lapack_int LAPACKE_cgerfs( int matrix_order, char trans, lapack_int n,
+                           lapack_int nrhs, const lapack_complex_float* a,
+                           lapack_int lda, const lapack_complex_float* af,
+                           lapack_int ldaf, const lapack_int* ipiv,
+                           const lapack_complex_float* b, lapack_int ldb,
+                           lapack_complex_float* x, lapack_int ldx, float* ferr,
+                           float* berr );
+lapack_int LAPACKE_zgerfs( int matrix_order, char trans, lapack_int n,
+                           lapack_int nrhs, const lapack_complex_double* a,
+                           lapack_int lda, const lapack_complex_double* af,
+                           lapack_int ldaf, const lapack_int* ipiv,
+                           const lapack_complex_double* b, lapack_int ldb,
+                           lapack_complex_double* x, lapack_int ldx,
+                           double* ferr, double* berr );
+
+lapack_int LAPACKE_sgerfsx( int matrix_order, char trans, char equed,
+                            lapack_int n, lapack_int nrhs, const float* a,
+                            lapack_int lda, const float* af, lapack_int ldaf,
+                            const lapack_int* ipiv, const float* r,
+                            const float* c, const float* b, lapack_int ldb,
+                            float* x, lapack_int ldx, float* rcond, float* berr,
+                            lapack_int n_err_bnds, float* err_bnds_norm,
+                            float* err_bnds_comp, lapack_int nparams,
+                            float* params );
+lapack_int LAPACKE_dgerfsx( int matrix_order, char trans, char equed,
+                            lapack_int n, lapack_int nrhs, const double* a,
+                            lapack_int lda, const double* af, lapack_int ldaf,
+                            const lapack_int* ipiv, const double* r,
+                            const double* c, const double* b, lapack_int ldb,
+                            double* x, lapack_int ldx, double* rcond,
+                            double* berr, lapack_int n_err_bnds,
+                            double* err_bnds_norm, double* err_bnds_comp,
+                            lapack_int nparams, double* params );
+lapack_int LAPACKE_cgerfsx( int matrix_order, char trans, char equed,
+                            lapack_int n, lapack_int nrhs,
+                            const lapack_complex_float* a, lapack_int lda,
+                            const lapack_complex_float* af, lapack_int ldaf,
+                            const lapack_int* ipiv, const float* r,
+                            const float* c, const lapack_complex_float* b,
+                            lapack_int ldb, lapack_complex_float* x,
+                            lapack_int ldx, float* rcond, float* berr,
+                            lapack_int n_err_bnds, float* err_bnds_norm,
+                            float* err_bnds_comp, lapack_int nparams,
+                            float* params );
+lapack_int LAPACKE_zgerfsx( int matrix_order, char trans, char equed,
+                            lapack_int n, lapack_int nrhs,
+                            const lapack_complex_double* a, lapack_int lda,
+                            const lapack_complex_double* af, lapack_int ldaf,
+                            const lapack_int* ipiv, const double* r,
+                            const double* c, const lapack_complex_double* b,
+                            lapack_int ldb, lapack_complex_double* x,
+                            lapack_int ldx, double* rcond, double* berr,
+                            lapack_int n_err_bnds, double* err_bnds_norm,
+                            double* err_bnds_comp, lapack_int nparams,
+                            double* params );
+
+lapack_int LAPACKE_sgerqf( int matrix_order, lapack_int m, lapack_int n,
+                           float* a, lapack_int lda, float* tau );
+lapack_int LAPACKE_dgerqf( int matrix_order, lapack_int m, lapack_int n,
+                           double* a, lapack_int lda, double* tau );
+lapack_int LAPACKE_cgerqf( int matrix_order, lapack_int m, lapack_int n,
+                           lapack_complex_float* a, lapack_int lda,
+                           lapack_complex_float* tau );
+lapack_int LAPACKE_zgerqf( int matrix_order, lapack_int m, lapack_int n,
+                           lapack_complex_double* a, lapack_int lda,
+                           lapack_complex_double* tau );
+
+lapack_int LAPACKE_sgesdd( int matrix_order, char jobz, lapack_int m,
+                           lapack_int n, float* a, lapack_int lda, float* s,
+                           float* u, lapack_int ldu, float* vt,
+                           lapack_int ldvt );
+lapack_int LAPACKE_dgesdd( int matrix_order, char jobz, lapack_int m,
+                           lapack_int n, double* a, lapack_int lda, double* s,
+                           double* u, lapack_int ldu, double* vt,
+                           lapack_int ldvt );
+lapack_int LAPACKE_cgesdd( int matrix_order, char jobz, lapack_int m,
+                           lapack_int n, lapack_complex_float* a,
+                           lapack_int lda, float* s, lapack_complex_float* u,
+                           lapack_int ldu, lapack_complex_float* vt,
+                           lapack_int ldvt );
+lapack_int LAPACKE_zgesdd( int matrix_order, char jobz, lapack_int m,
+                           lapack_int n, lapack_complex_double* a,
+                           lapack_int lda, double* s, lapack_complex_double* u,
+                           lapack_int ldu, lapack_complex_double* vt,
+                           lapack_int ldvt );
+
+lapack_int LAPACKE_sgesv( int matrix_order, lapack_int n, lapack_int nrhs,
+                          float* a, lapack_int lda, lapack_int* ipiv, float* b,
+                          lapack_int ldb );
+lapack_int LAPACKE_dgesv( int matrix_order, lapack_int n, lapack_int nrhs,
+                          double* a, lapack_int lda, lapack_int* ipiv,
+                          double* b, lapack_int ldb );
+lapack_int LAPACKE_cgesv( int matrix_order, lapack_int n, lapack_int nrhs,
+                          lapack_complex_float* a, lapack_int lda,
+                          lapack_int* ipiv, lapack_complex_float* b,
+                          lapack_int ldb );
+lapack_int LAPACKE_zgesv( int matrix_order, lapack_int n, lapack_int nrhs,
+                          lapack_complex_double* a, lapack_int lda,
+                          lapack_int* ipiv, lapack_complex_double* b,
+                          lapack_int ldb );
+lapack_int LAPACKE_dsgesv( int matrix_order, lapack_int n, lapack_int nrhs,
+                           double* a, lapack_int lda, lapack_int* ipiv,
+                           double* b, lapack_int ldb, double* x, lapack_int ldx,
+                           lapack_int* iter );
+lapack_int LAPACKE_zcgesv( int matrix_order, lapack_int n, lapack_int nrhs,
+                           lapack_complex_double* a, lapack_int lda,
+                           lapack_int* ipiv, lapack_complex_double* b,
+                           lapack_int ldb, lapack_complex_double* x,
+                           lapack_int ldx, lapack_int* iter );
+
+lapack_int LAPACKE_sgesvd( int matrix_order, char jobu, char jobvt,
+                           lapack_int m, lapack_int n, float* a, lapack_int lda,
+                           float* s, float* u, lapack_int ldu, float* vt,
+                           lapack_int ldvt, float* superb );
+lapack_int LAPACKE_dgesvd( int matrix_order, char jobu, char jobvt,
+                           lapack_int m, lapack_int n, double* a,
+                           lapack_int lda, double* s, double* u, lapack_int ldu,
+                           double* vt, lapack_int ldvt, double* superb );
+lapack_int LAPACKE_cgesvd( int matrix_order, char jobu, char jobvt,
+                           lapack_int m, lapack_int n, lapack_complex_float* a,
+                           lapack_int lda, float* s, lapack_complex_float* u,
+                           lapack_int ldu, lapack_complex_float* vt,
+                           lapack_int ldvt, float* superb );
+lapack_int LAPACKE_zgesvd( int matrix_order, char jobu, char jobvt,
+                           lapack_int m, lapack_int n, lapack_complex_double* a,
+                           lapack_int lda, double* s, lapack_complex_double* u,
+                           lapack_int ldu, lapack_complex_double* vt,
+                           lapack_int ldvt, double* superb );
+
+lapack_int LAPACKE_sgesvj( int matrix_order, char joba, char jobu, char jobv,
+                           lapack_int m, lapack_int n, float* a, lapack_int lda,
+                           float* sva, lapack_int mv, float* v, lapack_int ldv,
+                           float* stat );
+lapack_int LAPACKE_dgesvj( int matrix_order, char joba, char jobu, char jobv,
+                           lapack_int m, lapack_int n, double* a,
+                           lapack_int lda, double* sva, lapack_int mv,
+                           double* v, lapack_int ldv, double* stat );
+
+lapack_int LAPACKE_sgesvx( int matrix_order, char fact, char trans,
+                           lapack_int n, lapack_int nrhs, float* a,
+                           lapack_int lda, float* af, lapack_int ldaf,
+                           lapack_int* ipiv, char* equed, float* r, float* c,
+                           float* b, lapack_int ldb, float* x, lapack_int ldx,
+                           float* rcond, float* ferr, float* berr,
+                           float* rpivot );
+lapack_int LAPACKE_dgesvx( int matrix_order, char fact, char trans,
+                           lapack_int n, lapack_int nrhs, double* a,
+                           lapack_int lda, double* af, lapack_int ldaf,
+                           lapack_int* ipiv, char* equed, double* r, double* c,
+                           double* b, lapack_int ldb, double* x, lapack_int ldx,
+                           double* rcond, double* ferr, double* berr,
+                           double* rpivot );
+lapack_int LAPACKE_cgesvx( int matrix_order, char fact, char trans,
+                           lapack_int n, lapack_int nrhs,
+                           lapack_complex_float* a, lapack_int lda,
+                           lapack_complex_float* af, lapack_int ldaf,
+                           lapack_int* ipiv, char* equed, float* r, float* c,
+                           lapack_complex_float* b, lapack_int ldb,
+                           lapack_complex_float* x, lapack_int ldx,
+                           float* rcond, float* ferr, float* berr,
+                           float* rpivot );
+lapack_int LAPACKE_zgesvx( int matrix_order, char fact, char trans,
+                           lapack_int n, lapack_int nrhs,
+                           lapack_complex_double* a, lapack_int lda,
+                           lapack_complex_double* af, lapack_int ldaf,
+                           lapack_int* ipiv, char* equed, double* r, double* c,
+                           lapack_complex_double* b, lapack_int ldb,
+                           lapack_complex_double* x, lapack_int ldx,
+                           double* rcond, double* ferr, double* berr,
+                           double* rpivot );
+
+lapack_int LAPACKE_sgesvxx( int matrix_order, char fact, char trans,
+                            lapack_int n, lapack_int nrhs, float* a,
+                            lapack_int lda, float* af, lapack_int ldaf,
+                            lapack_int* ipiv, char* equed, float* r, float* c,
+                            float* b, lapack_int ldb, float* x, lapack_int ldx,
+                            float* rcond, float* rpvgrw, float* berr,
+                            lapack_int n_err_bnds, float* err_bnds_norm,
+                            float* err_bnds_comp, lapack_int nparams,
+                            float* params );
+lapack_int LAPACKE_dgesvxx( int matrix_order, char fact, char trans,
+                            lapack_int n, lapack_int nrhs, double* a,
+                            lapack_int lda, double* af, lapack_int ldaf,
+                            lapack_int* ipiv, char* equed, double* r, double* c,
+                            double* b, lapack_int ldb, double* x,
+                            lapack_int ldx, double* rcond, double* rpvgrw,
+                            double* berr, lapack_int n_err_bnds,
+                            double* err_bnds_norm, double* err_bnds_comp,
+                            lapack_int nparams, double* params );
+lapack_int LAPACKE_cgesvxx( int matrix_order, char fact, char trans,
+                            lapack_int n, lapack_int nrhs,
+                            lapack_complex_float* a, lapack_int lda,
+                            lapack_complex_float* af, lapack_int ldaf,
+                            lapack_int* ipiv, char* equed, float* r, float* c,
+                            lapack_complex_float* b, lapack_int ldb,
+                            lapack_complex_float* x, lapack_int ldx,
+                            float* rcond, float* rpvgrw, float* berr,
+                            lapack_int n_err_bnds, float* err_bnds_norm,
+                            float* err_bnds_comp, lapack_int nparams,
+                            float* params );
+lapack_int LAPACKE_zgesvxx( int matrix_order, char fact, char trans,
+                            lapack_int n, lapack_int nrhs,
+                            lapack_complex_double* a, lapack_int lda,
+                            lapack_complex_double* af, lapack_int ldaf,
+                            lapack_int* ipiv, char* equed, double* r, double* c,
+                            lapack_complex_double* b, lapack_int ldb,
+                            lapack_complex_double* x, lapack_int ldx,
+                            double* rcond, double* rpvgrw, double* berr,
+                            lapack_int n_err_bnds, double* err_bnds_norm,
+                            double* err_bnds_comp, lapack_int nparams,
+                            double* params );
+
+lapack_int LAPACKE_sgetf2( int matrix_order, lapack_int m, lapack_int n,
+                           float* a, lapack_int lda, lapack_int* ipiv );
+lapack_int LAPACKE_dgetf2( int matrix_order, lapack_int m, lapack_int n,
+                           double* a, lapack_int lda, lapack_int* ipiv );
+lapack_int LAPACKE_cgetf2( int matrix_order, lapack_int m, lapack_int n,
+                           lapack_complex_float* a, lapack_int lda,
+                           lapack_int* ipiv );
+lapack_int LAPACKE_zgetf2( int matrix_order, lapack_int m, lapack_int n,
+                           lapack_complex_double* a, lapack_int lda,
+                           lapack_int* ipiv );
+
+lapack_int LAPACKE_sgetrf( int matrix_order, lapack_int m, lapack_int n,
+                           float* a, lapack_int lda, lapack_int* ipiv );
+lapack_int LAPACKE_dgetrf( int matrix_order, lapack_int m, lapack_int n,
+                           double* a, lapack_int lda, lapack_int* ipiv );
+lapack_int LAPACKE_cgetrf( int matrix_order, lapack_int m, lapack_int n,
+                           lapack_complex_float* a, lapack_int lda,
+                           lapack_int* ipiv );
+lapack_int LAPACKE_zgetrf( int matrix_order, lapack_int m, lapack_int n,
+                           lapack_complex_double* a, lapack_int lda,
+                           lapack_int* ipiv );
+
+lapack_int LAPACKE_sgetri( int matrix_order, lapack_int n, float* a,
+                           lapack_int lda, const lapack_int* ipiv );
+lapack_int LAPACKE_dgetri( int matrix_order, lapack_int n, double* a,
+                           lapack_int lda, const lapack_int* ipiv );
+lapack_int LAPACKE_cgetri( int matrix_order, lapack_int n,
+                           lapack_complex_float* a, lapack_int lda,
+                           const lapack_int* ipiv );
+lapack_int LAPACKE_zgetri( int matrix_order, lapack_int n,
+                           lapack_complex_double* a, lapack_int lda,
+                           const lapack_int* ipiv );
+
+lapack_int LAPACKE_sgetrs( int matrix_order, char trans, lapack_int n,
+                           lapack_int nrhs, const float* a, lapack_int lda,
+                           const lapack_int* ipiv, float* b, lapack_int ldb );
+lapack_int LAPACKE_dgetrs( int matrix_order, char trans, lapack_int n,
+                           lapack_int nrhs, const double* a, lapack_int lda,
+                           const lapack_int* ipiv, double* b, lapack_int ldb );
+lapack_int LAPACKE_cgetrs( int matrix_order, char trans, lapack_int n,
+                           lapack_int nrhs, const lapack_complex_float* a,
+                           lapack_int lda, const lapack_int* ipiv,
+                           lapack_complex_float* b, lapack_int ldb );
+lapack_int LAPACKE_zgetrs( int matrix_order, char trans, lapack_int n,
+                           lapack_int nrhs, const lapack_complex_double* a,
+                           lapack_int lda, const lapack_int* ipiv,
+                           lapack_complex_double* b, lapack_int ldb );
+
+lapack_int LAPACKE_sggbak( int matrix_order, char job, char side, lapack_int n,
+                           lapack_int ilo, lapack_int ihi, const float* lscale,
+                           const float* rscale, lapack_int m, float* v,
+                           lapack_int ldv );
+lapack_int LAPACKE_dggbak( int matrix_order, char job, char side, lapack_int n,
+                           lapack_int ilo, lapack_int ihi, const double* lscale,
+                           const double* rscale, lapack_int m, double* v,
+                           lapack_int ldv );
+lapack_int LAPACKE_cggbak( int matrix_order, char job, char side, lapack_int n,
+                           lapack_int ilo, lapack_int ihi, const float* lscale,
+                           const float* rscale, lapack_int m,
+                           lapack_complex_float* v, lapack_int ldv );
+lapack_int LAPACKE_zggbak( int matrix_order, char job, char side, lapack_int n,
+                           lapack_int ilo, lapack_int ihi, const double* lscale,
+                           const double* rscale, lapack_int m,
+                           lapack_complex_double* v, lapack_int ldv );
+
+lapack_int LAPACKE_sggbal( int matrix_order, char job, lapack_int n, float* a,
+                           lapack_int lda, float* b, lapack_int ldb,
+                           lapack_int* ilo, lapack_int* ihi, float* lscale,
+                           float* rscale );
+lapack_int LAPACKE_dggbal( int matrix_order, char job, lapack_int n, double* a,
+                           lapack_int lda, double* b, lapack_int ldb,
+                           lapack_int* ilo, lapack_int* ihi, double* lscale,
+                           double* rscale );
+lapack_int LAPACKE_cggbal( int matrix_order, char job, lapack_int n,
+                           lapack_complex_float* a, lapack_int lda,
+                           lapack_complex_float* b, lapack_int ldb,
+                           lapack_int* ilo, lapack_int* ihi, float* lscale,
+                           float* rscale );
+lapack_int LAPACKE_zggbal( int matrix_order, char job, lapack_int n,
+                           lapack_complex_double* a, lapack_int lda,
+                           lapack_complex_double* b, lapack_int ldb,
+                           lapack_int* ilo, lapack_int* ihi, double* lscale,
+                           double* rscale );
+
+lapack_int LAPACKE_sgges( int matrix_order, char jobvsl, char jobvsr, char sort,
+                          LAPACK_S_SELECT3 selctg, lapack_int n, float* a,
+                          lapack_int lda, float* b, lapack_int ldb,
+                          lapack_int* sdim, float* alphar, float* alphai,
+                          float* beta, float* vsl, lapack_int ldvsl, float* vsr,
+                          lapack_int ldvsr );
+lapack_int LAPACKE_dgges( int matrix_order, char jobvsl, char jobvsr, char sort,
+                          LAPACK_D_SELECT3 selctg, lapack_int n, double* a,
+                          lapack_int lda, double* b, lapack_int ldb,
+                          lapack_int* sdim, double* alphar, double* alphai,
+                          double* beta, double* vsl, lapack_int ldvsl,
+                          double* vsr, lapack_int ldvsr );
+lapack_int LAPACKE_cgges( int matrix_order, char jobvsl, char jobvsr, char sort,
+                          LAPACK_C_SELECT2 selctg, lapack_int n,
+                          lapack_complex_float* a, lapack_int lda,
+                          lapack_complex_float* b, lapack_int ldb,
+                          lapack_int* sdim, lapack_complex_float* alpha,
+                          lapack_complex_float* beta, lapack_complex_float* vsl,
+                          lapack_int ldvsl, lapack_complex_float* vsr,
+                          lapack_int ldvsr );
+lapack_int LAPACKE_zgges( int matrix_order, char jobvsl, char jobvsr, char sort,
+                          LAPACK_Z_SELECT2 selctg, lapack_int n,
+                          lapack_complex_double* a, lapack_int lda,
+                          lapack_complex_double* b, lapack_int ldb,
+                          lapack_int* sdim, lapack_complex_double* alpha,
+                          lapack_complex_double* beta,
+                          lapack_complex_double* vsl, lapack_int ldvsl,
+                          lapack_complex_double* vsr, lapack_int ldvsr );
+
+lapack_int LAPACKE_sggesx( int matrix_order, char jobvsl, char jobvsr,
+                           char sort, LAPACK_S_SELECT3 selctg, char sense,
+                           lapack_int n, float* a, lapack_int lda, float* b,
+                           lapack_int ldb, lapack_int* sdim, float* alphar,
+                           float* alphai, float* beta, float* vsl,
+                           lapack_int ldvsl, float* vsr, lapack_int ldvsr,
+                           float* rconde, float* rcondv );
+lapack_int LAPACKE_dggesx( int matrix_order, char jobvsl, char jobvsr,
+                           char sort, LAPACK_D_SELECT3 selctg, char sense,
+                           lapack_int n, double* a, lapack_int lda, double* b,
+                           lapack_int ldb, lapack_int* sdim, double* alphar,
+                           double* alphai, double* beta, double* vsl,
+                           lapack_int ldvsl, double* vsr, lapack_int ldvsr,
+                           double* rconde, double* rcondv );
+lapack_int LAPACKE_cggesx( int matrix_order, char jobvsl, char jobvsr,
+                           char sort, LAPACK_C_SELECT2 selctg, char sense,
+                           lapack_int n, lapack_complex_float* a,
+                           lapack_int lda, lapack_complex_float* b,
+                           lapack_int ldb, lapack_int* sdim,
+                           lapack_complex_float* alpha,
+                           lapack_complex_float* beta,
+                           lapack_complex_float* vsl, lapack_int ldvsl,
+                           lapack_complex_float* vsr, lapack_int ldvsr,
+                           float* rconde, float* rcondv );
+lapack_int LAPACKE_zggesx( int matrix_order, char jobvsl, char jobvsr,
+                           char sort, LAPACK_Z_SELECT2 selctg, char sense,
+                           lapack_int n, lapack_complex_double* a,
+                           lapack_int lda, lapack_complex_double* b,
+                           lapack_int ldb, lapack_int* sdim,
+                           lapack_complex_double* alpha,
+                           lapack_complex_double* beta,
+                           lapack_complex_double* vsl, lapack_int ldvsl,
+                           lapack_complex_double* vsr, lapack_int ldvsr,
+                           double* rconde, double* rcondv );
+
+lapack_int LAPACKE_sggev( int matrix_order, char jobvl, char jobvr,
+                          lapack_int n, float* a, lapack_int lda, float* b,
+                          lapack_int ldb, float* alphar, float* alphai,
+                          float* beta, float* vl, lapack_int ldvl, float* vr,
+                          lapack_int ldvr );
+lapack_int LAPACKE_dggev( int matrix_order, char jobvl, char jobvr,
+                          lapack_int n, double* a, lapack_int lda, double* b,
+                          lapack_int ldb, double* alphar, double* alphai,
+                          double* beta, double* vl, lapack_int ldvl, double* vr,
+                          lapack_int ldvr );
+lapack_int LAPACKE_cggev( int matrix_order, char jobvl, char jobvr,
+                          lapack_int n, lapack_complex_float* a, lapack_int lda,
+                          lapack_complex_float* b, lapack_int ldb,
+                          lapack_complex_float* alpha,
+                          lapack_complex_float* beta, lapack_complex_float* vl,
+                          lapack_int ldvl, lapack_complex_float* vr,
+                          lapack_int ldvr );
+lapack_int LAPACKE_zggev( int matrix_order, char jobvl, char jobvr,
+                          lapack_int n, lapack_complex_double* a,
+                          lapack_int lda, lapack_complex_double* b,
+                          lapack_int ldb, lapack_complex_double* alpha,
+                          lapack_complex_double* beta,
+                          lapack_complex_double* vl, lapack_int ldvl,
+                          lapack_complex_double* vr, lapack_int ldvr );
+
+lapack_int LAPACKE_sggevx( int matrix_order, char balanc, char jobvl,
+                           char jobvr, char sense, lapack_int n, float* a,
+                           lapack_int lda, float* b, lapack_int ldb,
+                           float* alphar, float* alphai, float* beta, float* vl,
+                           lapack_int ldvl, float* vr, lapack_int ldvr,
+                           lapack_int* ilo, lapack_int* ihi, float* lscale,
+                           float* rscale, float* abnrm, float* bbnrm,
+                           float* rconde, float* rcondv );
+lapack_int LAPACKE_dggevx( int matrix_order, char balanc, char jobvl,
+                           char jobvr, char sense, lapack_int n, double* a,
+                           lapack_int lda, double* b, lapack_int ldb,
+                           double* alphar, double* alphai, double* beta,
+                           double* vl, lapack_int ldvl, double* vr,
+                           lapack_int ldvr, lapack_int* ilo, lapack_int* ihi,
+                           double* lscale, double* rscale, double* abnrm,
+                           double* bbnrm, double* rconde, double* rcondv );
+lapack_int LAPACKE_cggevx( int matrix_order, char balanc, char jobvl,
+                           char jobvr, char sense, lapack_int n,
+                           lapack_complex_float* a, lapack_int lda,
+                           lapack_complex_float* b, lapack_int ldb,
+                           lapack_complex_float* alpha,
+                           lapack_complex_float* beta, lapack_complex_float* vl,
+                           lapack_int ldvl, lapack_complex_float* vr,
+                           lapack_int ldvr, lapack_int* ilo, lapack_int* ihi,
+                           float* lscale, float* rscale, float* abnrm,
+                           float* bbnrm, float* rconde, float* rcondv );
+lapack_int LAPACKE_zggevx( int matrix_order, char balanc, char jobvl,
+                           char jobvr, char sense, lapack_int n,
+                           lapack_complex_double* a, lapack_int lda,
+                           lapack_complex_double* b, lapack_int ldb,
+                           lapack_complex_double* alpha,
+                           lapack_complex_double* beta,
+                           lapack_complex_double* vl, lapack_int ldvl,
+                           lapack_complex_double* vr, lapack_int ldvr,
+                           lapack_int* ilo, lapack_int* ihi, double* lscale,
+                           double* rscale, double* abnrm, double* bbnrm,
+                           double* rconde, double* rcondv );
+
+lapack_int LAPACKE_sggglm( int matrix_order, lapack_int n, lapack_int m,
+                           lapack_int p, float* a, lapack_int lda, float* b,
+                           lapack_int ldb, float* d, float* x, float* y );
+lapack_int LAPACKE_dggglm( int matrix_order, lapack_int n, lapack_int m,
+                           lapack_int p, double* a, lapack_int lda, double* b,
+                           lapack_int ldb, double* d, double* x, double* y );
+lapack_int LAPACKE_cggglm( int matrix_order, lapack_int n, lapack_int m,
+                           lapack_int p, lapack_complex_float* a,
+                           lapack_int lda, lapack_complex_float* b,
+                           lapack_int ldb, lapack_complex_float* d,
+                           lapack_complex_float* x, lapack_complex_float* y );
+lapack_int LAPACKE_zggglm( int matrix_order, lapack_int n, lapack_int m,
+                           lapack_int p, lapack_complex_double* a,
+                           lapack_int lda, lapack_complex_double* b,
+                           lapack_int ldb, lapack_complex_double* d,
+                           lapack_complex_double* x, lapack_complex_double* y );
+
+lapack_int LAPACKE_sgghrd( int matrix_order, char compq, char compz,
+                           lapack_int n, lapack_int ilo, lapack_int ihi,
+                           float* a, lapack_int lda, float* b, lapack_int ldb,
+                           float* q, lapack_int ldq, float* z, lapack_int ldz );
+lapack_int LAPACKE_dgghrd( int matrix_order, char compq, char compz,
+                           lapack_int n, lapack_int ilo, lapack_int ihi,
+                           double* a, lapack_int lda, double* b, lapack_int ldb,
+                           double* q, lapack_int ldq, double* z,
+                           lapack_int ldz );
+lapack_int LAPACKE_cgghrd( int matrix_order, char compq, char compz,
+                           lapack_int n, lapack_int ilo, lapack_int ihi,
+                           lapack_complex_float* a, lapack_int lda,
+                           lapack_complex_float* b, lapack_int ldb,
+                           lapack_complex_float* q, lapack_int ldq,
+                           lapack_complex_float* z, lapack_int ldz );
+lapack_int LAPACKE_zgghrd( int matrix_order, char compq, char compz,
+                           lapack_int n, lapack_int ilo, lapack_int ihi,
+                           lapack_complex_double* a, lapack_int lda,
+                           lapack_complex_double* b, lapack_int ldb,
+                           lapack_complex_double* q, lapack_int ldq,
+                           lapack_complex_double* z, lapack_int ldz );
+
+lapack_int LAPACKE_sgglse( int matrix_order, lapack_int m, lapack_int n,
+                           lapack_int p, float* a, lapack_int lda, float* b,
+                           lapack_int ldb, float* c, float* d, float* x );
+lapack_int LAPACKE_dgglse( int matrix_order, lapack_int m, lapack_int n,
+                           lapack_int p, double* a, lapack_int lda, double* b,
+                           lapack_int ldb, double* c, double* d, double* x );
+lapack_int LAPACKE_cgglse( int matrix_order, lapack_int m, lapack_int n,
+                           lapack_int p, lapack_complex_float* a,
+                           lapack_int lda, lapack_complex_float* b,
+                           lapack_int ldb, lapack_complex_float* c,
+                           lapack_complex_float* d, lapack_complex_float* x );
+lapack_int LAPACKE_zgglse( int matrix_order, lapack_int m, lapack_int n,
+                           lapack_int p, lapack_complex_double* a,
+                           lapack_int lda, lapack_complex_double* b,
+                           lapack_int ldb, lapack_complex_double* c,
+                           lapack_complex_double* d, lapack_complex_double* x );
+
+lapack_int LAPACKE_sggqrf( int matrix_order, lapack_int n, lapack_int m,
+                           lapack_int p, float* a, lapack_int lda, float* taua,
+                           float* b, lapack_int ldb, float* taub );
+lapack_int LAPACKE_dggqrf( int matrix_order, lapack_int n, lapack_int m,
+                           lapack_int p, double* a, lapack_int lda,
+                           double* taua, double* b, lapack_int ldb,
+                           double* taub );
+lapack_int LAPACKE_cggqrf( int matrix_order, lapack_int n, lapack_int m,
+                           lapack_int p, lapack_complex_float* a,
+                           lapack_int lda, lapack_complex_float* taua,
+                           lapack_complex_float* b, lapack_int ldb,
+                           lapack_complex_float* taub );
+lapack_int LAPACKE_zggqrf( int matrix_order, lapack_int n, lapack_int m,
+                           lapack_int p, lapack_complex_double* a,
+                           lapack_int lda, lapack_complex_double* taua,
+                           lapack_complex_double* b, lapack_int ldb,
+                           lapack_complex_double* taub );
+
+lapack_int LAPACKE_sggrqf( int matrix_order, lapack_int m, lapack_int p,
+                           lapack_int n, float* a, lapack_int lda, float* taua,
+                           float* b, lapack_int ldb, float* taub );
+lapack_int LAPACKE_dggrqf( int matrix_order, lapack_int m, lapack_int p,
+                           lapack_int n, double* a, lapack_int lda,
+                           double* taua, double* b, lapack_int ldb,
+                           double* taub );
+lapack_int LAPACKE_cggrqf( int matrix_order, lapack_int m, lapack_int p,
+                           lapack_int n, lapack_complex_float* a,
+                           lapack_int lda, lapack_complex_float* taua,
+                           lapack_complex_float* b, lapack_int ldb,
+                           lapack_complex_float* taub );
+lapack_int LAPACKE_zggrqf( int matrix_order, lapack_int m, lapack_int p,
+                           lapack_int n, lapack_complex_double* a,
+                           lapack_int lda, lapack_complex_double* taua,
+                           lapack_complex_double* b, lapack_int ldb,
+                           lapack_complex_double* taub );
+
+lapack_int LAPACKE_sggsvd( int matrix_order, char jobu, char jobv, char jobq,
+                           lapack_int m, lapack_int n, lapack_int p,
+                           lapack_int* k, lapack_int* l, float* a,
+                           lapack_int lda, float* b, lapack_int ldb,
+                           float* alpha, float* beta, float* u, lapack_int ldu,
+                           float* v, lapack_int ldv, float* q, lapack_int ldq,
+                           lapack_int* iwork );
+lapack_int LAPACKE_dggsvd( int matrix_order, char jobu, char jobv, char jobq,
+                           lapack_int m, lapack_int n, lapack_int p,
+                           lapack_int* k, lapack_int* l, double* a,
+                           lapack_int lda, double* b, lapack_int ldb,
+                           double* alpha, double* beta, double* u,
+                           lapack_int ldu, double* v, lapack_int ldv, double* q,
+                           lapack_int ldq, lapack_int* iwork );
+lapack_int LAPACKE_cggsvd( int matrix_order, char jobu, char jobv, char jobq,
+                           lapack_int m, lapack_int n, lapack_int p,
+                           lapack_int* k, lapack_int* l,
+                           lapack_complex_float* a, lapack_int lda,
+                           lapack_complex_float* b, lapack_int ldb,
+                           float* alpha, float* beta, lapack_complex_float* u,
+                           lapack_int ldu, lapack_complex_float* v,
+                           lapack_int ldv, lapack_complex_float* q,
+                           lapack_int ldq, lapack_int* iwork );
+lapack_int LAPACKE_zggsvd( int matrix_order, char jobu, char jobv, char jobq,
+                           lapack_int m, lapack_int n, lapack_int p,
+                           lapack_int* k, lapack_int* l,
+                           lapack_complex_double* a, lapack_int lda,
+                           lapack_complex_double* b, lapack_int ldb,
+                           double* alpha, double* beta,
+                           lapack_complex_double* u, lapack_int ldu,
+                           lapack_complex_double* v, lapack_int ldv,
+                           lapack_complex_double* q, lapack_int ldq,
+                           lapack_int* iwork );
+
+lapack_int LAPACKE_sggsvp( int matrix_order, char jobu, char jobv, char jobq,
+                           lapack_int m, lapack_int p, lapack_int n, float* a,
+                           lapack_int lda, float* b, lapack_int ldb, float tola,
+                           float tolb, lapack_int* k, lapack_int* l, float* u,
+                           lapack_int ldu, float* v, lapack_int ldv, float* q,
+                           lapack_int ldq );
+lapack_int LAPACKE_dggsvp( int matrix_order, char jobu, char jobv, char jobq,
+                           lapack_int m, lapack_int p, lapack_int n, double* a,
+                           lapack_int lda, double* b, lapack_int ldb,
+                           double tola, double tolb, lapack_int* k,
+                           lapack_int* l, double* u, lapack_int ldu, double* v,
+                           lapack_int ldv, double* q, lapack_int ldq );
+lapack_int LAPACKE_cggsvp( int matrix_order, char jobu, char jobv, char jobq,
+                           lapack_int m, lapack_int p, lapack_int n,
+                           lapack_complex_float* a, lapack_int lda,
+                           lapack_complex_float* b, lapack_int ldb, float tola,
+                           float tolb, lapack_int* k, lapack_int* l,
+                           lapack_complex_float* u, lapack_int ldu,
+                           lapack_complex_float* v, lapack_int ldv,
+                           lapack_complex_float* q, lapack_int ldq );
+lapack_int LAPACKE_zggsvp( int matrix_order, char jobu, char jobv, char jobq,
+                           lapack_int m, lapack_int p, lapack_int n,
+                           lapack_complex_double* a, lapack_int lda,
+                           lapack_complex_double* b, lapack_int ldb,
+                           double tola, double tolb, lapack_int* k,
+                           lapack_int* l, lapack_complex_double* u,
+                           lapack_int ldu, lapack_complex_double* v,
+                           lapack_int ldv, lapack_complex_double* q,
+                           lapack_int ldq );
+
+lapack_int LAPACKE_sgtcon( char norm, lapack_int n, const float* dl,
+                           const float* d, const float* du, const float* du2,
+                           const lapack_int* ipiv, float anorm, float* rcond );
+lapack_int LAPACKE_dgtcon( char norm, lapack_int n, const double* dl,
+                           const double* d, const double* du, const double* du2,
+                           const lapack_int* ipiv, double anorm,
+                           double* rcond );
+lapack_int LAPACKE_cgtcon( char norm, lapack_int n,
+                           const lapack_complex_float* dl,
+                           const lapack_complex_float* d,
+                           const lapack_complex_float* du,
+                           const lapack_complex_float* du2,
+                           const lapack_int* ipiv, float anorm, float* rcond );
+lapack_int LAPACKE_zgtcon( char norm, lapack_int n,
+                           const lapack_complex_double* dl,
+                           const lapack_complex_double* d,
+                           const lapack_complex_double* du,
+                           const lapack_complex_double* du2,
+                           const lapack_int* ipiv, double anorm,
+                           double* rcond );
+
+lapack_int LAPACKE_sgtrfs( int matrix_order, char trans, lapack_int n,
+                           lapack_int nrhs, const float* dl, const float* d,
+                           const float* du, const float* dlf, const float* df,
+                           const float* duf, const float* du2,
+                           const lapack_int* ipiv, const float* b,
+                           lapack_int ldb, float* x, lapack_int ldx,
+                           float* ferr, float* berr );
+lapack_int LAPACKE_dgtrfs( int matrix_order, char trans, lapack_int n,
+                           lapack_int nrhs, const double* dl, const double* d,
+                           const double* du, const double* dlf,
+                           const double* df, const double* duf,
+                           const double* du2, const lapack_int* ipiv,
+                           const double* b, lapack_int ldb, double* x,
+                           lapack_int ldx, double* ferr, double* berr );
+lapack_int LAPACKE_cgtrfs( int matrix_order, char trans, lapack_int n,
+                           lapack_int nrhs, const lapack_complex_float* dl,
+                           const lapack_complex_float* d,
+                           const lapack_complex_float* du,
+                           const lapack_complex_float* dlf,
+                           const lapack_complex_float* df,
+                           const lapack_complex_float* duf,
+                           const lapack_complex_float* du2,
+                           const lapack_int* ipiv,
+                           const lapack_complex_float* b, lapack_int ldb,
+                           lapack_complex_float* x, lapack_int ldx, float* ferr,
+                           float* berr );
+lapack_int LAPACKE_zgtrfs( int matrix_order, char trans, lapack_int n,
+                           lapack_int nrhs, const lapack_complex_double* dl,
+                           const lapack_complex_double* d,
+                           const lapack_complex_double* du,
+                           const lapack_complex_double* dlf,
+                           const lapack_complex_double* df,
+                           const lapack_complex_double* duf,
+                           const lapack_complex_double* du2,
+                           const lapack_int* ipiv,
+                           const lapack_complex_double* b, lapack_int ldb,
+                           lapack_complex_double* x, lapack_int ldx,
+                           double* ferr, double* berr );
+
+lapack_int LAPACKE_sgtsv( int matrix_order, lapack_int n, lapack_int nrhs,
+                          float* dl, float* d, float* du, float* b,
+                          lapack_int ldb );
+lapack_int LAPACKE_dgtsv( int matrix_order, lapack_int n, lapack_int nrhs,
+                          double* dl, double* d, double* du, double* b,
+                          lapack_int ldb );
+lapack_int LAPACKE_cgtsv( int matrix_order, lapack_int n, lapack_int nrhs,
+                          lapack_complex_float* dl, lapack_complex_float* d,
+                          lapack_complex_float* du, lapack_complex_float* b,
+                          lapack_int ldb );
+lapack_int LAPACKE_zgtsv( int matrix_order, lapack_int n, lapack_int nrhs,
+                          lapack_complex_double* dl, lapack_complex_double* d,
+                          lapack_complex_double* du, lapack_complex_double* b,
+                          lapack_int ldb );
+
+lapack_int LAPACKE_sgtsvx( int matrix_order, char fact, char trans,
+                           lapack_int n, lapack_int nrhs, const float* dl,
+                           const float* d, const float* du, float* dlf,
+                           float* df, float* duf, float* du2, lapack_int* ipiv,
+                           const float* b, lapack_int ldb, float* x,
+                           lapack_int ldx, float* rcond, float* ferr,
+                           float* berr );
+lapack_int LAPACKE_dgtsvx( int matrix_order, char fact, char trans,
+                           lapack_int n, lapack_int nrhs, const double* dl,
+                           const double* d, const double* du, double* dlf,
+                           double* df, double* duf, double* du2,
+                           lapack_int* ipiv, const double* b, lapack_int ldb,
+                           double* x, lapack_int ldx, double* rcond,
+                           double* ferr, double* berr );
+lapack_int LAPACKE_cgtsvx( int matrix_order, char fact, char trans,
+                           lapack_int n, lapack_int nrhs,
+                           const lapack_complex_float* dl,
+                           const lapack_complex_float* d,
+                           const lapack_complex_float* du,
+                           lapack_complex_float* dlf, lapack_complex_float* df,
+                           lapack_complex_float* duf, lapack_complex_float* du2,
+                           lapack_int* ipiv, const lapack_complex_float* b,
+                           lapack_int ldb, lapack_complex_float* x,
+                           lapack_int ldx, float* rcond, float* ferr,
+                           float* berr );
+lapack_int LAPACKE_zgtsvx( int matrix_order, char fact, char trans,
+                           lapack_int n, lapack_int nrhs,
+                           const lapack_complex_double* dl,
+                           const lapack_complex_double* d,
+                           const lapack_complex_double* du,
+                           lapack_complex_double* dlf,
+                           lapack_complex_double* df,
+                           lapack_complex_double* duf,
+                           lapack_complex_double* du2, lapack_int* ipiv,
+                           const lapack_complex_double* b, lapack_int ldb,
+                           lapack_complex_double* x, lapack_int ldx,
+                           double* rcond, double* ferr, double* berr );
+
+lapack_int LAPACKE_sgttrf( lapack_int n, float* dl, float* d, float* du,
+                           float* du2, lapack_int* ipiv );
+lapack_int LAPACKE_dgttrf( lapack_int n, double* dl, double* d, double* du,
+                           double* du2, lapack_int* ipiv );
+lapack_int LAPACKE_cgttrf( lapack_int n, lapack_complex_float* dl,
+                           lapack_complex_float* d, lapack_complex_float* du,
+                           lapack_complex_float* du2, lapack_int* ipiv );
+lapack_int LAPACKE_zgttrf( lapack_int n, lapack_complex_double* dl,
+                           lapack_complex_double* d, lapack_complex_double* du,
+                           lapack_complex_double* du2, lapack_int* ipiv );
+
+lapack_int LAPACKE_sgttrs( int matrix_order, char trans, lapack_int n,
+                           lapack_int nrhs, const float* dl, const float* d,
+                           const float* du, const float* du2,
+                           const lapack_int* ipiv, float* b, lapack_int ldb );
+lapack_int LAPACKE_dgttrs( int matrix_order, char trans, lapack_int n,
+                           lapack_int nrhs, const double* dl, const double* d,
+                           const double* du, const double* du2,
+                           const lapack_int* ipiv, double* b, lapack_int ldb );
+lapack_int LAPACKE_cgttrs( int matrix_order, char trans, lapack_int n,
+                           lapack_int nrhs, const lapack_complex_float* dl,
+                           const lapack_complex_float* d,
+                           const lapack_complex_float* du,
+                           const lapack_complex_float* du2,
+                           const lapack_int* ipiv, lapack_complex_float* b,
+                           lapack_int ldb );
+lapack_int LAPACKE_zgttrs( int matrix_order, char trans, lapack_int n,
+                           lapack_int nrhs, const lapack_complex_double* dl,
+                           const lapack_complex_double* d,
+                           const lapack_complex_double* du,
+                           const lapack_complex_double* du2,
+                           const lapack_int* ipiv, lapack_complex_double* b,
+                           lapack_int ldb );
+
+lapack_int LAPACKE_chbev( int matrix_order, char jobz, char uplo, lapack_int n,
+                          lapack_int kd, lapack_complex_float* ab,
+                          lapack_int ldab, float* w, lapack_complex_float* z,
+                          lapack_int ldz );
+lapack_int LAPACKE_zhbev( int matrix_order, char jobz, char uplo, lapack_int n,
+                          lapack_int kd, lapack_complex_double* ab,
+                          lapack_int ldab, double* w, lapack_complex_double* z,
+                          lapack_int ldz );
+
+lapack_int LAPACKE_chbevd( int matrix_order, char jobz, char uplo, lapack_int n,
+                           lapack_int kd, lapack_complex_float* ab,
+                           lapack_int ldab, float* w, lapack_complex_float* z,
+                           lapack_int ldz );
+lapack_int LAPACKE_zhbevd( int matrix_order, char jobz, char uplo, lapack_int n,
+                           lapack_int kd, lapack_complex_double* ab,
+                           lapack_int ldab, double* w, lapack_complex_double* z,
+                           lapack_int ldz );
+
+lapack_int LAPACKE_chbevx( int matrix_order, char jobz, char range, char uplo,
+                           lapack_int n, lapack_int kd,
+                           lapack_complex_float* ab, lapack_int ldab,
+                           lapack_complex_float* q, lapack_int ldq, float vl,
+                           float vu, lapack_int il, lapack_int iu, float abstol,
+                           lapack_int* m, float* w, lapack_complex_float* z,
+                           lapack_int ldz, lapack_int* ifail );
+lapack_int LAPACKE_zhbevx( int matrix_order, char jobz, char range, char uplo,
+                           lapack_int n, lapack_int kd,
+                           lapack_complex_double* ab, lapack_int ldab,
+                           lapack_complex_double* q, lapack_int ldq, double vl,
+                           double vu, lapack_int il, lapack_int iu,
+                           double abstol, lapack_int* m, double* w,
+                           lapack_complex_double* z, lapack_int ldz,
+                           lapack_int* ifail );
+
+lapack_int LAPACKE_chbgst( int matrix_order, char vect, char uplo, lapack_int n,
+                           lapack_int ka, lapack_int kb,
+                           lapack_complex_float* ab, lapack_int ldab,
+                           const lapack_complex_float* bb, lapack_int ldbb,
+                           lapack_complex_float* x, lapack_int ldx );
+lapack_int LAPACKE_zhbgst( int matrix_order, char vect, char uplo, lapack_int n,
+                           lapack_int ka, lapack_int kb,
+                           lapack_complex_double* ab, lapack_int ldab,
+                           const lapack_complex_double* bb, lapack_int ldbb,
+                           lapack_complex_double* x, lapack_int ldx );
+
+lapack_int LAPACKE_chbgv( int matrix_order, char jobz, char uplo, lapack_int n,
+                          lapack_int ka, lapack_int kb,
+                          lapack_complex_float* ab, lapack_int ldab,
+                          lapack_complex_float* bb, lapack_int ldbb, float* w,
+                          lapack_complex_float* z, lapack_int ldz );
+lapack_int LAPACKE_zhbgv( int matrix_order, char jobz, char uplo, lapack_int n,
+                          lapack_int ka, lapack_int kb,
+                          lapack_complex_double* ab, lapack_int ldab,
+                          lapack_complex_double* bb, lapack_int ldbb, double* w,
+                          lapack_complex_double* z, lapack_int ldz );
+
+lapack_int LAPACKE_chbgvd( int matrix_order, char jobz, char uplo, lapack_int n,
+                           lapack_int ka, lapack_int kb,
+                           lapack_complex_float* ab, lapack_int ldab,
+                           lapack_complex_float* bb, lapack_int ldbb, float* w,
+                           lapack_complex_float* z, lapack_int ldz );
+lapack_int LAPACKE_zhbgvd( int matrix_order, char jobz, char uplo, lapack_int n,
+                           lapack_int ka, lapack_int kb,
+                           lapack_complex_double* ab, lapack_int ldab,
+                           lapack_complex_double* bb, lapack_int ldbb,
+                           double* w, lapack_complex_double* z,
+                           lapack_int ldz );
+
+lapack_int LAPACKE_chbgvx( int matrix_order, char jobz, char range, char uplo,
+                           lapack_int n, lapack_int ka, lapack_int kb,
+                           lapack_complex_float* ab, lapack_int ldab,
+                           lapack_complex_float* bb, lapack_int ldbb,
+                           lapack_complex_float* q, lapack_int ldq, float vl,
+                           float vu, lapack_int il, lapack_int iu, float abstol,
+                           lapack_int* m, float* w, lapack_complex_float* z,
+                           lapack_int ldz, lapack_int* ifail );
+lapack_int LAPACKE_zhbgvx( int matrix_order, char jobz, char range, char uplo,
+                           lapack_int n, lapack_int ka, lapack_int kb,
+                           lapack_complex_double* ab, lapack_int ldab,
+                           lapack_complex_double* bb, lapack_int ldbb,
+                           lapack_complex_double* q, lapack_int ldq, double vl,
+                           double vu, lapack_int il, lapack_int iu,
+                           double abstol, lapack_int* m, double* w,
+                           lapack_complex_double* z, lapack_int ldz,
+                           lapack_int* ifail );
+
+lapack_int LAPACKE_chbtrd( int matrix_order, char vect, char uplo, lapack_int n,
+                           lapack_int kd, lapack_complex_float* ab,
+                           lapack_int ldab, float* d, float* e,
+                           lapack_complex_float* q, lapack_int ldq );
+lapack_int LAPACKE_zhbtrd( int matrix_order, char vect, char uplo, lapack_int n,
+                           lapack_int kd, lapack_complex_double* ab,
+                           lapack_int ldab, double* d, double* e,
+                           lapack_complex_double* q, lapack_int ldq );
+
+lapack_int LAPACKE_checon( int matrix_order, char uplo, lapack_int n,
+                           const lapack_complex_float* a, lapack_int lda,
+                           const lapack_int* ipiv, float anorm, float* rcond );
+lapack_int LAPACKE_zhecon( int matrix_order, char uplo, lapack_int n,
+                           const lapack_complex_double* a, lapack_int lda,
+                           const lapack_int* ipiv, double anorm,
+                           double* rcond );
+
+lapack_int LAPACKE_cheequb( int matrix_order, char uplo, lapack_int n,
+                            const lapack_complex_float* a, lapack_int lda,
+                            float* s, float* scond, float* amax );
+lapack_int LAPACKE_zheequb( int matrix_order, char uplo, lapack_int n,
+                            const lapack_complex_double* a, lapack_int lda,
+                            double* s, double* scond, double* amax );
+
+lapack_int LAPACKE_cheev( int matrix_order, char jobz, char uplo, lapack_int n,
+                          lapack_complex_float* a, lapack_int lda, float* w );
+lapack_int LAPACKE_zheev( int matrix_order, char jobz, char uplo, lapack_int n,
+                          lapack_complex_double* a, lapack_int lda, double* w );
+
+lapack_int LAPACKE_cheevd( int matrix_order, char jobz, char uplo, lapack_int n,
+                           lapack_complex_float* a, lapack_int lda, float* w );
+lapack_int LAPACKE_zheevd( int matrix_order, char jobz, char uplo, lapack_int n,
+                           lapack_complex_double* a, lapack_int lda,
+                           double* w );
+
+lapack_int LAPACKE_cheevr( int matrix_order, char jobz, char range, char uplo,
+                           lapack_int n, lapack_complex_float* a,
+                           lapack_int lda, float vl, float vu, lapack_int il,
+                           lapack_int iu, float abstol, lapack_int* m, float* w,
+                           lapack_complex_float* z, lapack_int ldz,
+                           lapack_int* isuppz );
+lapack_int LAPACKE_zheevr( int matrix_order, char jobz, char range, char uplo,
+                           lapack_int n, lapack_complex_double* a,
+                           lapack_int lda, double vl, double vu, lapack_int il,
+                           lapack_int iu, double abstol, lapack_int* m,
+                           double* w, lapack_complex_double* z, lapack_int ldz,
+                           lapack_int* isuppz );
+
+lapack_int LAPACKE_cheevx( int matrix_order, char jobz, char range, char uplo,
+                           lapack_int n, lapack_complex_float* a,
+                           lapack_int lda, float vl, float vu, lapack_int il,
+                           lapack_int iu, float abstol, lapack_int* m, float* w,
+                           lapack_complex_float* z, lapack_int ldz,
+                           lapack_int* ifail );
+lapack_int LAPACKE_zheevx( int matrix_order, char jobz, char range, char uplo,
+                           lapack_int n, lapack_complex_double* a,
+                           lapack_int lda, double vl, double vu, lapack_int il,
+                           lapack_int iu, double abstol, lapack_int* m,
+                           double* w, lapack_complex_double* z, lapack_int ldz,
+                           lapack_int* ifail );
+
+lapack_int LAPACKE_chegst( int matrix_order, lapack_int itype, char uplo,
+                           lapack_int n, lapack_complex_float* a,
+                           lapack_int lda, const lapack_complex_float* b,
+                           lapack_int ldb );
+lapack_int LAPACKE_zhegst( int matrix_order, lapack_int itype, char uplo,
+                           lapack_int n, lapack_complex_double* a,
+                           lapack_int lda, const lapack_complex_double* b,
+                           lapack_int ldb );
+
+lapack_int LAPACKE_chegv( int matrix_order, lapack_int itype, char jobz,
+                          char uplo, lapack_int n, lapack_complex_float* a,
+                          lapack_int lda, lapack_complex_float* b,
+                          lapack_int ldb, float* w );
+lapack_int LAPACKE_zhegv( int matrix_order, lapack_int itype, char jobz,
+                          char uplo, lapack_int n, lapack_complex_double* a,
+                          lapack_int lda, lapack_complex_double* b,
+                          lapack_int ldb, double* w );
+
+lapack_int LAPACKE_chegvd( int matrix_order, lapack_int itype, char jobz,
+                           char uplo, lapack_int n, lapack_complex_float* a,
+                           lapack_int lda, lapack_complex_float* b,
+                           lapack_int ldb, float* w );
+lapack_int LAPACKE_zhegvd( int matrix_order, lapack_int itype, char jobz,
+                           char uplo, lapack_int n, lapack_complex_double* a,
+                           lapack_int lda, lapack_complex_double* b,
+                           lapack_int ldb, double* w );
+
+lapack_int LAPACKE_chegvx( int matrix_order, lapack_int itype, char jobz,
+                           char range, char uplo, lapack_int n,
+                           lapack_complex_float* a, lapack_int lda,
+                           lapack_complex_float* b, lapack_int ldb, float vl,
+                           float vu, lapack_int il, lapack_int iu, float abstol,
+                           lapack_int* m, float* w, lapack_complex_float* z,
+                           lapack_int ldz, lapack_int* ifail );
+lapack_int LAPACKE_zhegvx( int matrix_order, lapack_int itype, char jobz,
+                           char range, char uplo, lapack_int n,
+                           lapack_complex_double* a, lapack_int lda,
+                           lapack_complex_double* b, lapack_int ldb, double vl,
+                           double vu, lapack_int il, lapack_int iu,
+                           double abstol, lapack_int* m, double* w,
+                           lapack_complex_double* z, lapack_int ldz,
+                           lapack_int* ifail );
+
+lapack_int LAPACKE_cherfs( int matrix_order, char uplo, lapack_int n,
+                           lapack_int nrhs, const lapack_complex_float* a,
+                           lapack_int lda, const lapack_complex_float* af,
+                           lapack_int ldaf, const lapack_int* ipiv,
+                           const lapack_complex_float* b, lapack_int ldb,
+                           lapack_complex_float* x, lapack_int ldx, float* ferr,
+                           float* berr );
+lapack_int LAPACKE_zherfs( int matrix_order, char uplo, lapack_int n,
+                           lapack_int nrhs, const lapack_complex_double* a,
+                           lapack_int lda, const lapack_complex_double* af,
+                           lapack_int ldaf, const lapack_int* ipiv,
+                           const lapack_complex_double* b, lapack_int ldb,
+                           lapack_complex_double* x, lapack_int ldx,
+                           double* ferr, double* berr );
+
+lapack_int LAPACKE_cherfsx( int matrix_order, char uplo, char equed,
+                            lapack_int n, lapack_int nrhs,
+                            const lapack_complex_float* a, lapack_int lda,
+                            const lapack_complex_float* af, lapack_int ldaf,
+                            const lapack_int* ipiv, const float* s,
+                            const lapack_complex_float* b, lapack_int ldb,
+                            lapack_complex_float* x, lapack_int ldx,
+                            float* rcond, float* berr, lapack_int n_err_bnds,
+                            float* err_bnds_norm, float* err_bnds_comp,
+                            lapack_int nparams, float* params );
+lapack_int LAPACKE_zherfsx( int matrix_order, char uplo, char equed,
+                            lapack_int n, lapack_int nrhs,
+                            const lapack_complex_double* a, lapack_int lda,
+                            const lapack_complex_double* af, lapack_int ldaf,
+                            const lapack_int* ipiv, const double* s,
+                            const lapack_complex_double* b, lapack_int ldb,
+                            lapack_complex_double* x, lapack_int ldx,
+                            double* rcond, double* berr, lapack_int n_err_bnds,
+                            double* err_bnds_norm, double* err_bnds_comp,
+                            lapack_int nparams, double* params );
+
+lapack_int LAPACKE_chesv( int matrix_order, char uplo, lapack_int n,
+                          lapack_int nrhs, lapack_complex_float* a,
+                          lapack_int lda, lapack_int* ipiv,
+                          lapack_complex_float* b, lapack_int ldb );
+lapack_int LAPACKE_zhesv( int matrix_order, char uplo, lapack_int n,
+                          lapack_int nrhs, lapack_complex_double* a,
+                          lapack_int lda, lapack_int* ipiv,
+                          lapack_complex_double* b, lapack_int ldb );
+
+lapack_int LAPACKE_chesvx( int matrix_order, char fact, char uplo, lapack_int n,
+                           lapack_int nrhs, const lapack_complex_float* a,
+                           lapack_int lda, lapack_complex_float* af,
+                           lapack_int ldaf, lapack_int* ipiv,
+                           const lapack_complex_float* b, lapack_int ldb,
+                           lapack_complex_float* x, lapack_int ldx,
+                           float* rcond, float* ferr, float* berr );
+lapack_int LAPACKE_zhesvx( int matrix_order, char fact, char uplo, lapack_int n,
+                           lapack_int nrhs, const lapack_complex_double* a,
+                           lapack_int lda, lapack_complex_double* af,
+                           lapack_int ldaf, lapack_int* ipiv,
+                           const lapack_complex_double* b, lapack_int ldb,
+                           lapack_complex_double* x, lapack_int ldx,
+                           double* rcond, double* ferr, double* berr );
+
+lapack_int LAPACKE_chesvxx( int matrix_order, char fact, char uplo,
+                            lapack_int n, lapack_int nrhs,
+                            lapack_complex_float* a, lapack_int lda,
+                            lapack_complex_float* af, lapack_int ldaf,
+                            lapack_int* ipiv, char* equed, float* s,
+                            lapack_complex_float* b, lapack_int ldb,
+                            lapack_complex_float* x, lapack_int ldx,
+                            float* rcond, float* rpvgrw, float* berr,
+                            lapack_int n_err_bnds, float* err_bnds_norm,
+                            float* err_bnds_comp, lapack_int nparams,
+                            float* params );
+lapack_int LAPACKE_zhesvxx( int matrix_order, char fact, char uplo,
+                            lapack_int n, lapack_int nrhs,
+                            lapack_complex_double* a, lapack_int lda,
+                            lapack_complex_double* af, lapack_int ldaf,
+                            lapack_int* ipiv, char* equed, double* s,
+                            lapack_complex_double* b, lapack_int ldb,
+                            lapack_complex_double* x, lapack_int ldx,
+                            double* rcond, double* rpvgrw, double* berr,
+                            lapack_int n_err_bnds, double* err_bnds_norm,
+                            double* err_bnds_comp, lapack_int nparams,
+                            double* params );
+
+lapack_int LAPACKE_chetrd( int matrix_order, char uplo, lapack_int n,
+                           lapack_complex_float* a, lapack_int lda, float* d,
+                           float* e, lapack_complex_float* tau );
+lapack_int LAPACKE_zhetrd( int matrix_order, char uplo, lapack_int n,
+                           lapack_complex_double* a, lapack_int lda, double* d,
+                           double* e, lapack_complex_double* tau );
+
+lapack_int LAPACKE_chetrf( int matrix_order, char uplo, lapack_int n,
+                           lapack_complex_float* a, lapack_int lda,
+                           lapack_int* ipiv );
+lapack_int LAPACKE_zhetrf( int matrix_order, char uplo, lapack_int n,
+                           lapack_complex_double* a, lapack_int lda,
+                           lapack_int* ipiv );
+
+lapack_int LAPACKE_chetri( int matrix_order, char uplo, lapack_int n,
+                           lapack_complex_float* a, lapack_int lda,
+                           const lapack_int* ipiv );
+lapack_int LAPACKE_zhetri( int matrix_order, char uplo, lapack_int n,
+                           lapack_complex_double* a, lapack_int lda,
+                           const lapack_int* ipiv );
+
+lapack_int LAPACKE_chetrs( int matrix_order, char uplo, lapack_int n,
+                           lapack_int nrhs, const lapack_complex_float* a,
+                           lapack_int lda, const lapack_int* ipiv,
+                           lapack_complex_float* b, lapack_int ldb );
+lapack_int LAPACKE_zhetrs( int matrix_order, char uplo, lapack_int n,
+                           lapack_int nrhs, const lapack_complex_double* a,
+                           lapack_int lda, const lapack_int* ipiv,
+                           lapack_complex_double* b, lapack_int ldb );
+
+lapack_int LAPACKE_chfrk( int matrix_order, char transr, char uplo, char trans,
+                          lapack_int n, lapack_int k, float alpha,
+                          const lapack_complex_float* a, lapack_int lda,
+                          float beta, lapack_complex_float* c );
+lapack_int LAPACKE_zhfrk( int matrix_order, char transr, char uplo, char trans,
+                          lapack_int n, lapack_int k, double alpha,
+                          const lapack_complex_double* a, lapack_int lda,
+                          double beta, lapack_complex_double* c );
+
+lapack_int LAPACKE_shgeqz( int matrix_order, char job, char compq, char compz,
+                           lapack_int n, lapack_int ilo, lapack_int ihi,
+                           float* h, lapack_int ldh, float* t, lapack_int ldt,
+                           float* alphar, float* alphai, float* beta, float* q,
+                           lapack_int ldq, float* z, lapack_int ldz );
+lapack_int LAPACKE_dhgeqz( int matrix_order, char job, char compq, char compz,
+                           lapack_int n, lapack_int ilo, lapack_int ihi,
+                           double* h, lapack_int ldh, double* t, lapack_int ldt,
+                           double* alphar, double* alphai, double* beta,
+                           double* q, lapack_int ldq, double* z,
+                           lapack_int ldz );
+lapack_int LAPACKE_chgeqz( int matrix_order, char job, char compq, char compz,
+                           lapack_int n, lapack_int ilo, lapack_int ihi,
+                           lapack_complex_float* h, lapack_int ldh,
+                           lapack_complex_float* t, lapack_int ldt,
+                           lapack_complex_float* alpha,
+                           lapack_complex_float* beta, lapack_complex_float* q,
+                           lapack_int ldq, lapack_complex_float* z,
+                           lapack_int ldz );
+lapack_int LAPACKE_zhgeqz( int matrix_order, char job, char compq, char compz,
+                           lapack_int n, lapack_int ilo, lapack_int ihi,
+                           lapack_complex_double* h, lapack_int ldh,
+                           lapack_complex_double* t, lapack_int ldt,
+                           lapack_complex_double* alpha,
+                           lapack_complex_double* beta,
+                           lapack_complex_double* q, lapack_int ldq,
+                           lapack_complex_double* z, lapack_int ldz );
+
+lapack_int LAPACKE_chpcon( int matrix_order, char uplo, lapack_int n,
+                           const lapack_complex_float* ap,
+                           const lapack_int* ipiv, float anorm, float* rcond );
+lapack_int LAPACKE_zhpcon( int matrix_order, char uplo, lapack_int n,
+                           const lapack_complex_double* ap,
+                           const lapack_int* ipiv, double anorm,
+                           double* rcond );
+
+lapack_int LAPACKE_chpev( int matrix_order, char jobz, char uplo, lapack_int n,
+                          lapack_complex_float* ap, float* w,
+                          lapack_complex_float* z, lapack_int ldz );
+lapack_int LAPACKE_zhpev( int matrix_order, char jobz, char uplo, lapack_int n,
+                          lapack_complex_double* ap, double* w,
+                          lapack_complex_double* z, lapack_int ldz );
+
+lapack_int LAPACKE_chpevd( int matrix_order, char jobz, char uplo, lapack_int n,
+                           lapack_complex_float* ap, float* w,
+                           lapack_complex_float* z, lapack_int ldz );
+lapack_int LAPACKE_zhpevd( int matrix_order, char jobz, char uplo, lapack_int n,
+                           lapack_complex_double* ap, double* w,
+                           lapack_complex_double* z, lapack_int ldz );
+
+lapack_int LAPACKE_chpevx( int matrix_order, char jobz, char range, char uplo,
+                           lapack_int n, lapack_complex_float* ap, float vl,
+                           float vu, lapack_int il, lapack_int iu, float abstol,
+                           lapack_int* m, float* w, lapack_complex_float* z,
+                           lapack_int ldz, lapack_int* ifail );
+lapack_int LAPACKE_zhpevx( int matrix_order, char jobz, char range, char uplo,
+                           lapack_int n, lapack_complex_double* ap, double vl,
+                           double vu, lapack_int il, lapack_int iu,
+                           double abstol, lapack_int* m, double* w,
+                           lapack_complex_double* z, lapack_int ldz,
+                           lapack_int* ifail );
+
+lapack_int LAPACKE_chpgst( int matrix_order, lapack_int itype, char uplo,
+                           lapack_int n, lapack_complex_float* ap,
+                           const lapack_complex_float* bp );
+lapack_int LAPACKE_zhpgst( int matrix_order, lapack_int itype, char uplo,
+                           lapack_int n, lapack_complex_double* ap,
+                           const lapack_complex_double* bp );
+
+lapack_int LAPACKE_chpgv( int matrix_order, lapack_int itype, char jobz,
+                          char uplo, lapack_int n, lapack_complex_float* ap,
+                          lapack_complex_float* bp, float* w,
+                          lapack_complex_float* z, lapack_int ldz );
+lapack_int LAPACKE_zhpgv( int matrix_order, lapack_int itype, char jobz,
+                          char uplo, lapack_int n, lapack_complex_double* ap,
+                          lapack_complex_double* bp, double* w,
+                          lapack_complex_double* z, lapack_int ldz );
+
+lapack_int LAPACKE_chpgvd( int matrix_order, lapack_int itype, char jobz,
+                           char uplo, lapack_int n, lapack_complex_float* ap,
+                           lapack_complex_float* bp, float* w,
+                           lapack_complex_float* z, lapack_int ldz );
+lapack_int LAPACKE_zhpgvd( int matrix_order, lapack_int itype, char jobz,
+                           char uplo, lapack_int n, lapack_complex_double* ap,
+                           lapack_complex_double* bp, double* w,
+                           lapack_complex_double* z, lapack_int ldz );
+
+lapack_int LAPACKE_chpgvx( int matrix_order, lapack_int itype, char jobz,
+                           char range, char uplo, lapack_int n,
+                           lapack_complex_float* ap, lapack_complex_float* bp,
+                           float vl, float vu, lapack_int il, lapack_int iu,
+                           float abstol, lapack_int* m, float* w,
+                           lapack_complex_float* z, lapack_int ldz,
+                           lapack_int* ifail );
+lapack_int LAPACKE_zhpgvx( int matrix_order, lapack_int itype, char jobz,
+                           char range, char uplo, lapack_int n,
+                           lapack_complex_double* ap, lapack_complex_double* bp,
+                           double vl, double vu, lapack_int il, lapack_int iu,
+                           double abstol, lapack_int* m, double* w,
+                           lapack_complex_double* z, lapack_int ldz,
+                           lapack_int* ifail );
+
+lapack_int LAPACKE_chprfs( int matrix_order, char uplo, lapack_int n,
+                           lapack_int nrhs, const lapack_complex_float* ap,
+                           const lapack_complex_float* afp,
+                           const lapack_int* ipiv,
+                           const lapack_complex_float* b, lapack_int ldb,
+                           lapack_complex_float* x, lapack_int ldx, float* ferr,
+                           float* berr );
+lapack_int LAPACKE_zhprfs( int matrix_order, char uplo, lapack_int n,
+                           lapack_int nrhs, const lapack_complex_double* ap,
+                           const lapack_complex_double* afp,
+                           const lapack_int* ipiv,
+                           const lapack_complex_double* b, lapack_int ldb,
+                           lapack_complex_double* x, lapack_int ldx,
+                           double* ferr, double* berr );
+
+lapack_int LAPACKE_chpsv( int matrix_order, char uplo, lapack_int n,
+                          lapack_int nrhs, lapack_complex_float* ap,
+                          lapack_int* ipiv, lapack_complex_float* b,
+                          lapack_int ldb );
+lapack_int LAPACKE_zhpsv( int matrix_order, char uplo, lapack_int n,
+                          lapack_int nrhs, lapack_complex_double* ap,
+                          lapack_int* ipiv, lapack_complex_double* b,
+                          lapack_int ldb );
+
+lapack_int LAPACKE_chpsvx( int matrix_order, char fact, char uplo, lapack_int n,
+                           lapack_int nrhs, const lapack_complex_float* ap,
+                           lapack_complex_float* afp, lapack_int* ipiv,
+                           const lapack_complex_float* b, lapack_int ldb,
+                           lapack_complex_float* x, lapack_int ldx,
+                           float* rcond, float* ferr, float* berr );
+lapack_int LAPACKE_zhpsvx( int matrix_order, char fact, char uplo, lapack_int n,
+                           lapack_int nrhs, const lapack_complex_double* ap,
+                           lapack_complex_double* afp, lapack_int* ipiv,
+                           const lapack_complex_double* b, lapack_int ldb,
+                           lapack_complex_double* x, lapack_int ldx,
+                           double* rcond, double* ferr, double* berr );
+
+lapack_int LAPACKE_chptrd( int matrix_order, char uplo, lapack_int n,
+                           lapack_complex_float* ap, float* d, float* e,
+                           lapack_complex_float* tau );
+lapack_int LAPACKE_zhptrd( int matrix_order, char uplo, lapack_int n,
+                           lapack_complex_double* ap, double* d, double* e,
+                           lapack_complex_double* tau );
+
+lapack_int LAPACKE_chptrf( int matrix_order, char uplo, lapack_int n,
+                           lapack_complex_float* ap, lapack_int* ipiv );
+lapack_int LAPACKE_zhptrf( int matrix_order, char uplo, lapack_int n,
+                           lapack_complex_double* ap, lapack_int* ipiv );
+
+lapack_int LAPACKE_chptri( int matrix_order, char uplo, lapack_int n,
+                           lapack_complex_float* ap, const lapack_int* ipiv );
+lapack_int LAPACKE_zhptri( int matrix_order, char uplo, lapack_int n,
+                           lapack_complex_double* ap, const lapack_int* ipiv );
+
+lapack_int LAPACKE_chptrs( int matrix_order, char uplo, lapack_int n,
+                           lapack_int nrhs, const lapack_complex_float* ap,
+                           const lapack_int* ipiv, lapack_complex_float* b,
+                           lapack_int ldb );
+lapack_int LAPACKE_zhptrs( int matrix_order, char uplo, lapack_int n,
+                           lapack_int nrhs, const lapack_complex_double* ap,
+                           const lapack_int* ipiv, lapack_complex_double* b,
+                           lapack_int ldb );
+
+lapack_int LAPACKE_shsein( int matrix_order, char job, char eigsrc, char initv,
+                           lapack_logical* select, lapack_int n, const float* h,
+                           lapack_int ldh, float* wr, const float* wi,
+                           float* vl, lapack_int ldvl, float* vr,
+                           lapack_int ldvr, lapack_int mm, lapack_int* m,
+                           lapack_int* ifaill, lapack_int* ifailr );
+lapack_int LAPACKE_dhsein( int matrix_order, char job, char eigsrc, char initv,
+                           lapack_logical* select, lapack_int n,
+                           const double* h, lapack_int ldh, double* wr,
+                           const double* wi, double* vl, lapack_int ldvl,
+                           double* vr, lapack_int ldvr, lapack_int mm,
+                           lapack_int* m, lapack_int* ifaill,
+                           lapack_int* ifailr );
+lapack_int LAPACKE_chsein( int matrix_order, char job, char eigsrc, char initv,
+                           const lapack_logical* select, lapack_int n,
+                           const lapack_complex_float* h, lapack_int ldh,
+                           lapack_complex_float* w, lapack_complex_float* vl,
+                           lapack_int ldvl, lapack_complex_float* vr,
+                           lapack_int ldvr, lapack_int mm, lapack_int* m,
+                           lapack_int* ifaill, lapack_int* ifailr );
+lapack_int LAPACKE_zhsein( int matrix_order, char job, char eigsrc, char initv,
+                           const lapack_logical* select, lapack_int n,
+                           const lapack_complex_double* h, lapack_int ldh,
+                           lapack_complex_double* w, lapack_complex_double* vl,
+                           lapack_int ldvl, lapack_complex_double* vr,
+                           lapack_int ldvr, lapack_int mm, lapack_int* m,
+                           lapack_int* ifaill, lapack_int* ifailr );
+
+lapack_int LAPACKE_shseqr( int matrix_order, char job, char compz, lapack_int n,
+                           lapack_int ilo, lapack_int ihi, float* h,
+                           lapack_int ldh, float* wr, float* wi, float* z,
+                           lapack_int ldz );
+lapack_int LAPACKE_dhseqr( int matrix_order, char job, char compz, lapack_int n,
+                           lapack_int ilo, lapack_int ihi, double* h,
+                           lapack_int ldh, double* wr, double* wi, double* z,
+                           lapack_int ldz );
+lapack_int LAPACKE_chseqr( int matrix_order, char job, char compz, lapack_int n,
+                           lapack_int ilo, lapack_int ihi,
+                           lapack_complex_float* h, lapack_int ldh,
+                           lapack_complex_float* w, lapack_complex_float* z,
+                           lapack_int ldz );
+lapack_int LAPACKE_zhseqr( int matrix_order, char job, char compz, lapack_int n,
+                           lapack_int ilo, lapack_int ihi,
+                           lapack_complex_double* h, lapack_int ldh,
+                           lapack_complex_double* w, lapack_complex_double* z,
+                           lapack_int ldz );
+
+lapack_int LAPACKE_clacgv( lapack_int n, lapack_complex_float* x,
+                           lapack_int incx );
+lapack_int LAPACKE_zlacgv( lapack_int n, lapack_complex_double* x,
+                           lapack_int incx );
+
+lapack_int LAPACKE_slacpy( int matrix_order, char uplo, lapack_int m,
+                           lapack_int n, const float* a, lapack_int lda, float* b,
+                           lapack_int ldb );
+lapack_int LAPACKE_dlacpy( int matrix_order, char uplo, lapack_int m,
+                           lapack_int n, const double* a, lapack_int lda, double* b,
+                           lapack_int ldb );
+lapack_int LAPACKE_clacpy( int matrix_order, char uplo, lapack_int m,
+                           lapack_int n, const lapack_complex_float* a,
+                           lapack_int lda, lapack_complex_float* b,
+                           lapack_int ldb );
+lapack_int LAPACKE_zlacpy( int matrix_order, char uplo, lapack_int m,
+                           lapack_int n, const lapack_complex_double* a,
+                           lapack_int lda, lapack_complex_double* b,
+                           lapack_int ldb );
+
+lapack_int LAPACKE_zlag2c( int matrix_order, lapack_int m, lapack_int n,
+                           const lapack_complex_double* a, lapack_int lda,
+                           lapack_complex_float* sa, lapack_int ldsa );
+
+lapack_int LAPACKE_slag2d( int matrix_order, lapack_int m, lapack_int n,
+                           const float* sa, lapack_int ldsa, double* a,
+                           lapack_int lda );
+
+lapack_int LAPACKE_dlag2s( int matrix_order, lapack_int m, lapack_int n,
+                           const double* a, lapack_int lda, float* sa,
+                           lapack_int ldsa );
+
+lapack_int LAPACKE_clag2z( int matrix_order, lapack_int m, lapack_int n,
+                           const lapack_complex_float* sa, lapack_int ldsa,
+                           lapack_complex_double* a, lapack_int lda );
+
+lapack_int LAPACKE_slagge( int matrix_order, lapack_int m, lapack_int n,
+                           lapack_int kl, lapack_int ku, const float* d,
+                           float* a, lapack_int lda, lapack_int* iseed );
+lapack_int LAPACKE_dlagge( int matrix_order, lapack_int m, lapack_int n,
+                           lapack_int kl, lapack_int ku, const double* d,
+                           double* a, lapack_int lda, lapack_int* iseed );
+lapack_int LAPACKE_clagge( int matrix_order, lapack_int m, lapack_int n,
+                           lapack_int kl, lapack_int ku, const float* d,
+                           lapack_complex_float* a, lapack_int lda,
+                           lapack_int* iseed );
+lapack_int LAPACKE_zlagge( int matrix_order, lapack_int m, lapack_int n,
+                           lapack_int kl, lapack_int ku, const double* d,
+                           lapack_complex_double* a, lapack_int lda,
+                           lapack_int* iseed );
+
+float LAPACKE_slamch( char cmach );
+double LAPACKE_dlamch( char cmach );
+
+float LAPACKE_slange( int matrix_order, char norm, lapack_int m,
+                           lapack_int n, const float* a, lapack_int lda );
+double LAPACKE_dlange( int matrix_order, char norm, lapack_int m,
+                           lapack_int n, const double* a, lapack_int lda );
+float LAPACKE_clange( int matrix_order, char norm, lapack_int m,
+                           lapack_int n, const lapack_complex_float* a,
+                           lapack_int lda );
+double LAPACKE_zlange( int matrix_order, char norm, lapack_int m,
+                           lapack_int n, const lapack_complex_double* a,
+                           lapack_int lda );
+
+float LAPACKE_clanhe( int matrix_order, char norm, char uplo, lapack_int n,
+                           const lapack_complex_float* a, lapack_int lda );
+double LAPACKE_zlanhe( int matrix_order, char norm, char uplo, lapack_int n,
+                           const lapack_complex_double* a, lapack_int lda );
+
+float LAPACKE_slansy( int matrix_order, char norm, char uplo, lapack_int n,
+                           const float* a, lapack_int lda );
+double LAPACKE_dlansy( int matrix_order, char norm, char uplo, lapack_int n,
+                           const double* a, lapack_int lda );
+float LAPACKE_clansy( int matrix_order, char norm, char uplo, lapack_int n,
+                           const lapack_complex_float* a, lapack_int lda );
+double LAPACKE_zlansy( int matrix_order, char norm, char uplo, lapack_int n,
+                           const lapack_complex_double* a, lapack_int lda );
+
+float LAPACKE_slantr( int matrix_order, char norm, char uplo, char diag,
+                           lapack_int m, lapack_int n, const float* a,
+                           lapack_int lda );
+double LAPACKE_dlantr( int matrix_order, char norm, char uplo, char diag,
+                           lapack_int m, lapack_int n, const double* a,
+                           lapack_int lda );
+float LAPACKE_clantr( int matrix_order, char norm, char uplo, char diag,
+                           lapack_int m, lapack_int n, const lapack_complex_float* a,
+                           lapack_int lda );
+double LAPACKE_zlantr( int matrix_order, char norm, char uplo, char diag,
+                           lapack_int m, lapack_int n, const lapack_complex_double* a,
+                           lapack_int lda );
+
+
+lapack_int LAPACKE_slarfb( int matrix_order, char side, char trans, char direct,
+                           char storev, lapack_int m, lapack_int n,
+                           lapack_int k, const float* v, lapack_int ldv,
+                           const float* t, lapack_int ldt, float* c,
+                           lapack_int ldc );
+lapack_int LAPACKE_dlarfb( int matrix_order, char side, char trans, char direct,
+                           char storev, lapack_int m, lapack_int n,
+                           lapack_int k, const double* v, lapack_int ldv,
+                           const double* t, lapack_int ldt, double* c,
+                           lapack_int ldc );
+lapack_int LAPACKE_clarfb( int matrix_order, char side, char trans, char direct,
+                           char storev, lapack_int m, lapack_int n,
+                           lapack_int k, const lapack_complex_float* v,
+                           lapack_int ldv, const lapack_complex_float* t,
+                           lapack_int ldt, lapack_complex_float* c,
+                           lapack_int ldc );
+lapack_int LAPACKE_zlarfb( int matrix_order, char side, char trans, char direct,
+                           char storev, lapack_int m, lapack_int n,
+                           lapack_int k, const lapack_complex_double* v,
+                           lapack_int ldv, const lapack_complex_double* t,
+                           lapack_int ldt, lapack_complex_double* c,
+                           lapack_int ldc );
+
+lapack_int LAPACKE_slarfg( lapack_int n, float* alpha, float* x,
+                           lapack_int incx, float* tau );
+lapack_int LAPACKE_dlarfg( lapack_int n, double* alpha, double* x,
+                           lapack_int incx, double* tau );
+lapack_int LAPACKE_clarfg( lapack_int n, lapack_complex_float* alpha,
+                           lapack_complex_float* x, lapack_int incx,
+                           lapack_complex_float* tau );
+lapack_int LAPACKE_zlarfg( lapack_int n, lapack_complex_double* alpha,
+                           lapack_complex_double* x, lapack_int incx,
+                           lapack_complex_double* tau );
+
+lapack_int LAPACKE_slarft( int matrix_order, char direct, char storev,
+                           lapack_int n, lapack_int k, const float* v,
+                           lapack_int ldv, const float* tau, float* t,
+                           lapack_int ldt );
+lapack_int LAPACKE_dlarft( int matrix_order, char direct, char storev,
+                           lapack_int n, lapack_int k, const double* v,
+                           lapack_int ldv, const double* tau, double* t,
+                           lapack_int ldt );
+lapack_int LAPACKE_clarft( int matrix_order, char direct, char storev,
+                           lapack_int n, lapack_int k,
+                           const lapack_complex_float* v, lapack_int ldv,
+                           const lapack_complex_float* tau,
+                           lapack_complex_float* t, lapack_int ldt );
+lapack_int LAPACKE_zlarft( int matrix_order, char direct, char storev,
+                           lapack_int n, lapack_int k,
+                           const lapack_complex_double* v, lapack_int ldv,
+                           const lapack_complex_double* tau,
+                           lapack_complex_double* t, lapack_int ldt );
+
+lapack_int LAPACKE_slarfx( int matrix_order, char side, lapack_int m,
+                           lapack_int n, const float* v, float tau, float* c,
+                           lapack_int ldc, float* work );
+lapack_int LAPACKE_dlarfx( int matrix_order, char side, lapack_int m,
+                           lapack_int n, const double* v, double tau, double* c,
+                           lapack_int ldc, double* work );
+lapack_int LAPACKE_clarfx( int matrix_order, char side, lapack_int m,
+                           lapack_int n, const lapack_complex_float* v,
+                           lapack_complex_float tau, lapack_complex_float* c,
+                           lapack_int ldc, lapack_complex_float* work );
+lapack_int LAPACKE_zlarfx( int matrix_order, char side, lapack_int m,
+                           lapack_int n, const lapack_complex_double* v,
+                           lapack_complex_double tau, lapack_complex_double* c,
+                           lapack_int ldc, lapack_complex_double* work );
+
+lapack_int LAPACKE_slarnv( lapack_int idist, lapack_int* iseed, lapack_int n,
+                           float* x );
+lapack_int LAPACKE_dlarnv( lapack_int idist, lapack_int* iseed, lapack_int n,
+                           double* x );
+lapack_int LAPACKE_clarnv( lapack_int idist, lapack_int* iseed, lapack_int n,
+                           lapack_complex_float* x );
+lapack_int LAPACKE_zlarnv( lapack_int idist, lapack_int* iseed, lapack_int n,
+                           lapack_complex_double* x );
+
+lapack_int LAPACKE_slaset( int matrix_order, char uplo, lapack_int m,
+                           lapack_int n, float alpha, float beta, float* a,
+                           lapack_int lda );
+lapack_int LAPACKE_dlaset( int matrix_order, char uplo, lapack_int m,
+                           lapack_int n, double alpha, double beta, double* a,
+                           lapack_int lda );
+lapack_int LAPACKE_claset( int matrix_order, char uplo, lapack_int m,
+                           lapack_int n, lapack_complex_float alpha,
+                           lapack_complex_float beta, lapack_complex_float* a,
+                           lapack_int lda );
+lapack_int LAPACKE_zlaset( int matrix_order, char uplo, lapack_int m,
+                           lapack_int n, lapack_complex_double alpha,
+                           lapack_complex_double beta, lapack_complex_double* a,
+                           lapack_int lda );
+
+lapack_int LAPACKE_slasrt( char id, lapack_int n, float* d );
+lapack_int LAPACKE_dlasrt( char id, lapack_int n, double* d );
+
+lapack_int LAPACKE_slaswp( int matrix_order, lapack_int n, float* a,
+                           lapack_int lda, lapack_int k1, lapack_int k2,
+                           const lapack_int* ipiv, lapack_int incx );
+lapack_int LAPACKE_dlaswp( int matrix_order, lapack_int n, double* a,
+                           lapack_int lda, lapack_int k1, lapack_int k2,
+                           const lapack_int* ipiv, lapack_int incx );
+lapack_int LAPACKE_claswp( int matrix_order, lapack_int n,
+                           lapack_complex_float* a, lapack_int lda,
+                           lapack_int k1, lapack_int k2, const lapack_int* ipiv,
+                           lapack_int incx );
+lapack_int LAPACKE_zlaswp( int matrix_order, lapack_int n,
+                           lapack_complex_double* a, lapack_int lda,
+                           lapack_int k1, lapack_int k2, const lapack_int* ipiv,
+                           lapack_int incx );
+
+lapack_int LAPACKE_slatms( int matrix_order, lapack_int m, lapack_int n,
+                           char dist, lapack_int* iseed, char sym, float* d,
+                           lapack_int mode, float cond, float dmax,
+                           lapack_int kl, lapack_int ku, char pack, float* a,
+                           lapack_int lda );
+lapack_int LAPACKE_dlatms( int matrix_order, lapack_int m, lapack_int n,
+                           char dist, lapack_int* iseed, char sym, double* d,
+                           lapack_int mode, double cond, double dmax,
+                           lapack_int kl, lapack_int ku, char pack, double* a,
+                           lapack_int lda );
+lapack_int LAPACKE_clatms( int matrix_order, lapack_int m, lapack_int n,
+                           char dist, lapack_int* iseed, char sym, float* d,
+                           lapack_int mode, float cond, float dmax,
+                           lapack_int kl, lapack_int ku, char pack,
+                           lapack_complex_float* a, lapack_int lda );
+lapack_int LAPACKE_zlatms( int matrix_order, lapack_int m, lapack_int n,
+                           char dist, lapack_int* iseed, char sym, double* d,
+                           lapack_int mode, double cond, double dmax,
+                           lapack_int kl, lapack_int ku, char pack,
+                           lapack_complex_double* a, lapack_int lda );
+
+lapack_int LAPACKE_slauum( int matrix_order, char uplo, lapack_int n, float* a,
+                           lapack_int lda );
+lapack_int LAPACKE_dlauum( int matrix_order, char uplo, lapack_int n, double* a,
+                           lapack_int lda );
+lapack_int LAPACKE_clauum( int matrix_order, char uplo, lapack_int n,
+                           lapack_complex_float* a, lapack_int lda );
+lapack_int LAPACKE_zlauum( int matrix_order, char uplo, lapack_int n,
+                           lapack_complex_double* a, lapack_int lda );
+
+lapack_int LAPACKE_sopgtr( int matrix_order, char uplo, lapack_int n,
+                           const float* ap, const float* tau, float* q,
+                           lapack_int ldq );
+lapack_int LAPACKE_dopgtr( int matrix_order, char uplo, lapack_int n,
+                           const double* ap, const double* tau, double* q,
+                           lapack_int ldq );
+
+lapack_int LAPACKE_sopmtr( int matrix_order, char side, char uplo, char trans,
+                           lapack_int m, lapack_int n, const float* ap,
+                           const float* tau, float* c, lapack_int ldc );
+lapack_int LAPACKE_dopmtr( int matrix_order, char side, char uplo, char trans,
+                           lapack_int m, lapack_int n, const double* ap,
+                           const double* tau, double* c, lapack_int ldc );
+
+lapack_int LAPACKE_sorgbr( int matrix_order, char vect, lapack_int m,
+                           lapack_int n, lapack_int k, float* a, lapack_int lda,
+                           const float* tau );
+lapack_int LAPACKE_dorgbr( int matrix_order, char vect, lapack_int m,
+                           lapack_int n, lapack_int k, double* a,
+                           lapack_int lda, const double* tau );
+
+lapack_int LAPACKE_sorghr( int matrix_order, lapack_int n, lapack_int ilo,
+                           lapack_int ihi, float* a, lapack_int lda,
+                           const float* tau );
+lapack_int LAPACKE_dorghr( int matrix_order, lapack_int n, lapack_int ilo,
+                           lapack_int ihi, double* a, lapack_int lda,
+                           const double* tau );
+
+lapack_int LAPACKE_sorglq( int matrix_order, lapack_int m, lapack_int n,
+                           lapack_int k, float* a, lapack_int lda,
+                           const float* tau );
+lapack_int LAPACKE_dorglq( int matrix_order, lapack_int m, lapack_int n,
+                           lapack_int k, double* a, lapack_int lda,
+                           const double* tau );
+
+lapack_int LAPACKE_sorgql( int matrix_order, lapack_int m, lapack_int n,
+                           lapack_int k, float* a, lapack_int lda,
+                           const float* tau );
+lapack_int LAPACKE_dorgql( int matrix_order, lapack_int m, lapack_int n,
+                           lapack_int k, double* a, lapack_int lda,
+                           const double* tau );
+
+lapack_int LAPACKE_sorgqr( int matrix_order, lapack_int m, lapack_int n,
+                           lapack_int k, float* a, lapack_int lda,
+                           const float* tau );
+lapack_int LAPACKE_dorgqr( int matrix_order, lapack_int m, lapack_int n,
+                           lapack_int k, double* a, lapack_int lda,
+                           const double* tau );
+
+lapack_int LAPACKE_sorgrq( int matrix_order, lapack_int m, lapack_int n,
+                           lapack_int k, float* a, lapack_int lda,
+                           const float* tau );
+lapack_int LAPACKE_dorgrq( int matrix_order, lapack_int m, lapack_int n,
+                           lapack_int k, double* a, lapack_int lda,
+                           const double* tau );
+
+lapack_int LAPACKE_sorgtr( int matrix_order, char uplo, lapack_int n, float* a,
+                           lapack_int lda, const float* tau );
+lapack_int LAPACKE_dorgtr( int matrix_order, char uplo, lapack_int n, double* a,
+                           lapack_int lda, const double* tau );
+
+lapack_int LAPACKE_sormbr( int matrix_order, char vect, char side, char trans,
+                           lapack_int m, lapack_int n, lapack_int k,
+                           const float* a, lapack_int lda, const float* tau,
+                           float* c, lapack_int ldc );
+lapack_int LAPACKE_dormbr( int matrix_order, char vect, char side, char trans,
+                           lapack_int m, lapack_int n, lapack_int k,
+                           const double* a, lapack_int lda, const double* tau,
+                           double* c, lapack_int ldc );
+
+lapack_int LAPACKE_sormhr( int matrix_order, char side, char trans,
+                           lapack_int m, lapack_int n, lapack_int ilo,
+                           lapack_int ihi, const float* a, lapack_int lda,
+                           const float* tau, float* c, lapack_int ldc );
+lapack_int LAPACKE_dormhr( int matrix_order, char side, char trans,
+                           lapack_int m, lapack_int n, lapack_int ilo,
+                           lapack_int ihi, const double* a, lapack_int lda,
+                           const double* tau, double* c, lapack_int ldc );
+
+lapack_int LAPACKE_sormlq( int matrix_order, char side, char trans,
+                           lapack_int m, lapack_int n, lapack_int k,
+                           const float* a, lapack_int lda, const float* tau,
+                           float* c, lapack_int ldc );
+lapack_int LAPACKE_dormlq( int matrix_order, char side, char trans,
+                           lapack_int m, lapack_int n, lapack_int k,
+                           const double* a, lapack_int lda, const double* tau,
+                           double* c, lapack_int ldc );
+
+lapack_int LAPACKE_sormql( int matrix_order, char side, char trans,
+                           lapack_int m, lapack_int n, lapack_int k,
+                           const float* a, lapack_int lda, const float* tau,
+                           float* c, lapack_int ldc );
+lapack_int LAPACKE_dormql( int matrix_order, char side, char trans,
+                           lapack_int m, lapack_int n, lapack_int k,
+                           const double* a, lapack_int lda, const double* tau,
+                           double* c, lapack_int ldc );
+
+lapack_int LAPACKE_sormqr( int matrix_order, char side, char trans,
+                           lapack_int m, lapack_int n, lapack_int k,
+                           const float* a, lapack_int lda, const float* tau,
+                           float* c, lapack_int ldc );
+lapack_int LAPACKE_dormqr( int matrix_order, char side, char trans,
+                           lapack_int m, lapack_int n, lapack_int k,
+                           const double* a, lapack_int lda, const double* tau,
+                           double* c, lapack_int ldc );
+
+lapack_int LAPACKE_sormrq( int matrix_order, char side, char trans,
+                           lapack_int m, lapack_int n, lapack_int k,
+                           const float* a, lapack_int lda, const float* tau,
+                           float* c, lapack_int ldc );
+lapack_int LAPACKE_dormrq( int matrix_order, char side, char trans,
+                           lapack_int m, lapack_int n, lapack_int k,
+                           const double* a, lapack_int lda, const double* tau,
+                           double* c, lapack_int ldc );
+
+lapack_int LAPACKE_sormrz( int matrix_order, char side, char trans,
+                           lapack_int m, lapack_int n, lapack_int k,
+                           lapack_int l, const float* a, lapack_int lda,
+                           const float* tau, float* c, lapack_int ldc );
+lapack_int LAPACKE_dormrz( int matrix_order, char side, char trans,
+                           lapack_int m, lapack_int n, lapack_int k,
+                           lapack_int l, const double* a, lapack_int lda,
+                           const double* tau, double* c, lapack_int ldc );
+
+lapack_int LAPACKE_sormtr( int matrix_order, char side, char uplo, char trans,
+                           lapack_int m, lapack_int n, const float* a,
+                           lapack_int lda, const float* tau, float* c,
+                           lapack_int ldc );
+lapack_int LAPACKE_dormtr( int matrix_order, char side, char uplo, char trans,
+                           lapack_int m, lapack_int n, const double* a,
+                           lapack_int lda, const double* tau, double* c,
+                           lapack_int ldc );
+
+lapack_int LAPACKE_spbcon( int matrix_order, char uplo, lapack_int n,
+                           lapack_int kd, const float* ab, lapack_int ldab,
+                           float anorm, float* rcond );
+lapack_int LAPACKE_dpbcon( int matrix_order, char uplo, lapack_int n,
+                           lapack_int kd, const double* ab, lapack_int ldab,
+                           double anorm, double* rcond );
+lapack_int LAPACKE_cpbcon( int matrix_order, char uplo, lapack_int n,
+                           lapack_int kd, const lapack_complex_float* ab,
+                           lapack_int ldab, float anorm, float* rcond );
+lapack_int LAPACKE_zpbcon( int matrix_order, char uplo, lapack_int n,
+                           lapack_int kd, const lapack_complex_double* ab,
+                           lapack_int ldab, double anorm, double* rcond );
+
+lapack_int LAPACKE_spbequ( int matrix_order, char uplo, lapack_int n,
+                           lapack_int kd, const float* ab, lapack_int ldab,
+                           float* s, float* scond, float* amax );
+lapack_int LAPACKE_dpbequ( int matrix_order, char uplo, lapack_int n,
+                           lapack_int kd, const double* ab, lapack_int ldab,
+                           double* s, double* scond, double* amax );
+lapack_int LAPACKE_cpbequ( int matrix_order, char uplo, lapack_int n,
+                           lapack_int kd, const lapack_complex_float* ab,
+                           lapack_int ldab, float* s, float* scond,
+                           float* amax );
+lapack_int LAPACKE_zpbequ( int matrix_order, char uplo, lapack_int n,
+                           lapack_int kd, const lapack_complex_double* ab,
+                           lapack_int ldab, double* s, double* scond,
+                           double* amax );
+
+lapack_int LAPACKE_spbrfs( int matrix_order, char uplo, lapack_int n,
+                           lapack_int kd, lapack_int nrhs, const float* ab,
+                           lapack_int ldab, const float* afb, lapack_int ldafb,
+                           const float* b, lapack_int ldb, float* x,
+                           lapack_int ldx, float* ferr, float* berr );
+lapack_int LAPACKE_dpbrfs( int matrix_order, char uplo, lapack_int n,
+                           lapack_int kd, lapack_int nrhs, const double* ab,
+                           lapack_int ldab, const double* afb, lapack_int ldafb,
+                           const double* b, lapack_int ldb, double* x,
+                           lapack_int ldx, double* ferr, double* berr );
+lapack_int LAPACKE_cpbrfs( int matrix_order, char uplo, lapack_int n,
+                           lapack_int kd, lapack_int nrhs,
+                           const lapack_complex_float* ab, lapack_int ldab,
+                           const lapack_complex_float* afb, lapack_int ldafb,
+                           const lapack_complex_float* b, lapack_int ldb,
+                           lapack_complex_float* x, lapack_int ldx, float* ferr,
+                           float* berr );
+lapack_int LAPACKE_zpbrfs( int matrix_order, char uplo, lapack_int n,
+                           lapack_int kd, lapack_int nrhs,
+                           const lapack_complex_double* ab, lapack_int ldab,
+                           const lapack_complex_double* afb, lapack_int ldafb,
+                           const lapack_complex_double* b, lapack_int ldb,
+                           lapack_complex_double* x, lapack_int ldx,
+                           double* ferr, double* berr );
+
+lapack_int LAPACKE_spbstf( int matrix_order, char uplo, lapack_int n,
+                           lapack_int kb, float* bb, lapack_int ldbb );
+lapack_int LAPACKE_dpbstf( int matrix_order, char uplo, lapack_int n,
+                           lapack_int kb, double* bb, lapack_int ldbb );
+lapack_int LAPACKE_cpbstf( int matrix_order, char uplo, lapack_int n,
+                           lapack_int kb, lapack_complex_float* bb,
+                           lapack_int ldbb );
+lapack_int LAPACKE_zpbstf( int matrix_order, char uplo, lapack_int n,
+                           lapack_int kb, lapack_complex_double* bb,
+                           lapack_int ldbb );
+
+lapack_int LAPACKE_spbsv( int matrix_order, char uplo, lapack_int n,
+                          lapack_int kd, lapack_int nrhs, float* ab,
+                          lapack_int ldab, float* b, lapack_int ldb );
+lapack_int LAPACKE_dpbsv( int matrix_order, char uplo, lapack_int n,
+                          lapack_int kd, lapack_int nrhs, double* ab,
+                          lapack_int ldab, double* b, lapack_int ldb );
+lapack_int LAPACKE_cpbsv( int matrix_order, char uplo, lapack_int n,
+                          lapack_int kd, lapack_int nrhs,
+                          lapack_complex_float* ab, lapack_int ldab,
+                          lapack_complex_float* b, lapack_int ldb );
+lapack_int LAPACKE_zpbsv( int matrix_order, char uplo, lapack_int n,
+                          lapack_int kd, lapack_int nrhs,
+                          lapack_complex_double* ab, lapack_int ldab,
+                          lapack_complex_double* b, lapack_int ldb );
+
+lapack_int LAPACKE_spbsvx( int matrix_order, char fact, char uplo, lapack_int n,
+                           lapack_int kd, lapack_int nrhs, float* ab,
+                           lapack_int ldab, float* afb, lapack_int ldafb,
+                           char* equed, float* s, float* b, lapack_int ldb,
+                           float* x, lapack_int ldx, float* rcond, float* ferr,
+                           float* berr );
+lapack_int LAPACKE_dpbsvx( int matrix_order, char fact, char uplo, lapack_int n,
+                           lapack_int kd, lapack_int nrhs, double* ab,
+                           lapack_int ldab, double* afb, lapack_int ldafb,
+                           char* equed, double* s, double* b, lapack_int ldb,
+                           double* x, lapack_int ldx, double* rcond,
+                           double* ferr, double* berr );
+lapack_int LAPACKE_cpbsvx( int matrix_order, char fact, char uplo, lapack_int n,
+                           lapack_int kd, lapack_int nrhs,
+                           lapack_complex_float* ab, lapack_int ldab,
+                           lapack_complex_float* afb, lapack_int ldafb,
+                           char* equed, float* s, lapack_complex_float* b,
+                           lapack_int ldb, lapack_complex_float* x,
+                           lapack_int ldx, float* rcond, float* ferr,
+                           float* berr );
+lapack_int LAPACKE_zpbsvx( int matrix_order, char fact, char uplo, lapack_int n,
+                           lapack_int kd, lapack_int nrhs,
+                           lapack_complex_double* ab, lapack_int ldab,
+                           lapack_complex_double* afb, lapack_int ldafb,
+                           char* equed, double* s, lapack_complex_double* b,
+                           lapack_int ldb, lapack_complex_double* x,
+                           lapack_int ldx, double* rcond, double* ferr,
+                           double* berr );
+
+lapack_int LAPACKE_spbtrf( int matrix_order, char uplo, lapack_int n,
+                           lapack_int kd, float* ab, lapack_int ldab );
+lapack_int LAPACKE_dpbtrf( int matrix_order, char uplo, lapack_int n,
+                           lapack_int kd, double* ab, lapack_int ldab );
+lapack_int LAPACKE_cpbtrf( int matrix_order, char uplo, lapack_int n,
+                           lapack_int kd, lapack_complex_float* ab,
+                           lapack_int ldab );
+lapack_int LAPACKE_zpbtrf( int matrix_order, char uplo, lapack_int n,
+                           lapack_int kd, lapack_complex_double* ab,
+                           lapack_int ldab );
+
+lapack_int LAPACKE_spbtrs( int matrix_order, char uplo, lapack_int n,
+                           lapack_int kd, lapack_int nrhs, const float* ab,
+                           lapack_int ldab, float* b, lapack_int ldb );
+lapack_int LAPACKE_dpbtrs( int matrix_order, char uplo, lapack_int n,
+                           lapack_int kd, lapack_int nrhs, const double* ab,
+                           lapack_int ldab, double* b, lapack_int ldb );
+lapack_int LAPACKE_cpbtrs( int matrix_order, char uplo, lapack_int n,
+                           lapack_int kd, lapack_int nrhs,
+                           const lapack_complex_float* ab, lapack_int ldab,
+                           lapack_complex_float* b, lapack_int ldb );
+lapack_int LAPACKE_zpbtrs( int matrix_order, char uplo, lapack_int n,
+                           lapack_int kd, lapack_int nrhs,
+                           const lapack_complex_double* ab, lapack_int ldab,
+                           lapack_complex_double* b, lapack_int ldb );
+
+lapack_int LAPACKE_spftrf( int matrix_order, char transr, char uplo,
+                           lapack_int n, float* a );
+lapack_int LAPACKE_dpftrf( int matrix_order, char transr, char uplo,
+                           lapack_int n, double* a );
+lapack_int LAPACKE_cpftrf( int matrix_order, char transr, char uplo,
+                           lapack_int n, lapack_complex_float* a );
+lapack_int LAPACKE_zpftrf( int matrix_order, char transr, char uplo,
+                           lapack_int n, lapack_complex_double* a );
+
+lapack_int LAPACKE_spftri( int matrix_order, char transr, char uplo,
+                           lapack_int n, float* a );
+lapack_int LAPACKE_dpftri( int matrix_order, char transr, char uplo,
+                           lapack_int n, double* a );
+lapack_int LAPACKE_cpftri( int matrix_order, char transr, char uplo,
+                           lapack_int n, lapack_complex_float* a );
+lapack_int LAPACKE_zpftri( int matrix_order, char transr, char uplo,
+                           lapack_int n, lapack_complex_double* a );
+
+lapack_int LAPACKE_spftrs( int matrix_order, char transr, char uplo,
+                           lapack_int n, lapack_int nrhs, const float* a,
+                           float* b, lapack_int ldb );
+lapack_int LAPACKE_dpftrs( int matrix_order, char transr, char uplo,
+                           lapack_int n, lapack_int nrhs, const double* a,
+                           double* b, lapack_int ldb );
+lapack_int LAPACKE_cpftrs( int matrix_order, char transr, char uplo,
+                           lapack_int n, lapack_int nrhs,
+                           const lapack_complex_float* a,
+                           lapack_complex_float* b, lapack_int ldb );
+lapack_int LAPACKE_zpftrs( int matrix_order, char transr, char uplo,
+                           lapack_int n, lapack_int nrhs,
+                           const lapack_complex_double* a,
+                           lapack_complex_double* b, lapack_int ldb );
+
+lapack_int LAPACKE_spocon( int matrix_order, char uplo, lapack_int n,
+                           const float* a, lapack_int lda, float anorm,
+                           float* rcond );
+lapack_int LAPACKE_dpocon( int matrix_order, char uplo, lapack_int n,
+                           const double* a, lapack_int lda, double anorm,
+                           double* rcond );
+lapack_int LAPACKE_cpocon( int matrix_order, char uplo, lapack_int n,
+                           const lapack_complex_float* a, lapack_int lda,
+                           float anorm, float* rcond );
+lapack_int LAPACKE_zpocon( int matrix_order, char uplo, lapack_int n,
+                           const lapack_complex_double* a, lapack_int lda,
+                           double anorm, double* rcond );
+
+lapack_int LAPACKE_spoequ( int matrix_order, lapack_int n, const float* a,
+                           lapack_int lda, float* s, float* scond,
+                           float* amax );
+lapack_int LAPACKE_dpoequ( int matrix_order, lapack_int n, const double* a,
+                           lapack_int lda, double* s, double* scond,
+                           double* amax );
+lapack_int LAPACKE_cpoequ( int matrix_order, lapack_int n,
+                           const lapack_complex_float* a, lapack_int lda,
+                           float* s, float* scond, float* amax );
+lapack_int LAPACKE_zpoequ( int matrix_order, lapack_int n,
+                           const lapack_complex_double* a, lapack_int lda,
+                           double* s, double* scond, double* amax );
+
+lapack_int LAPACKE_spoequb( int matrix_order, lapack_int n, const float* a,
+                            lapack_int lda, float* s, float* scond,
+                            float* amax );
+lapack_int LAPACKE_dpoequb( int matrix_order, lapack_int n, const double* a,
+                            lapack_int lda, double* s, double* scond,
+                            double* amax );
+lapack_int LAPACKE_cpoequb( int matrix_order, lapack_int n,
+                            const lapack_complex_float* a, lapack_int lda,
+                            float* s, float* scond, float* amax );
+lapack_int LAPACKE_zpoequb( int matrix_order, lapack_int n,
+                            const lapack_complex_double* a, lapack_int lda,
+                            double* s, double* scond, double* amax );
+
+lapack_int LAPACKE_sporfs( int matrix_order, char uplo, lapack_int n,
+                           lapack_int nrhs, const float* a, lapack_int lda,
+                           const float* af, lapack_int ldaf, const float* b,
+                           lapack_int ldb, float* x, lapack_int ldx,
+                           float* ferr, float* berr );
+lapack_int LAPACKE_dporfs( int matrix_order, char uplo, lapack_int n,
+                           lapack_int nrhs, const double* a, lapack_int lda,
+                           const double* af, lapack_int ldaf, const double* b,
+                           lapack_int ldb, double* x, lapack_int ldx,
+                           double* ferr, double* berr );
+lapack_int LAPACKE_cporfs( int matrix_order, char uplo, lapack_int n,
+                           lapack_int nrhs, const lapack_complex_float* a,
+                           lapack_int lda, const lapack_complex_float* af,
+                           lapack_int ldaf, const lapack_complex_float* b,
+                           lapack_int ldb, lapack_complex_float* x,
+                           lapack_int ldx, float* ferr, float* berr );
+lapack_int LAPACKE_zporfs( int matrix_order, char uplo, lapack_int n,
+                           lapack_int nrhs, const lapack_complex_double* a,
+                           lapack_int lda, const lapack_complex_double* af,
+                           lapack_int ldaf, const lapack_complex_double* b,
+                           lapack_int ldb, lapack_complex_double* x,
+                           lapack_int ldx, double* ferr, double* berr );
+
+lapack_int LAPACKE_sporfsx( int matrix_order, char uplo, char equed,
+                            lapack_int n, lapack_int nrhs, const float* a,
+                            lapack_int lda, const float* af, lapack_int ldaf,
+                            const float* s, const float* b, lapack_int ldb,
+                            float* x, lapack_int ldx, float* rcond, float* berr,
+                            lapack_int n_err_bnds, float* err_bnds_norm,
+                            float* err_bnds_comp, lapack_int nparams,
+                            float* params );
+lapack_int LAPACKE_dporfsx( int matrix_order, char uplo, char equed,
+                            lapack_int n, lapack_int nrhs, const double* a,
+                            lapack_int lda, const double* af, lapack_int ldaf,
+                            const double* s, const double* b, lapack_int ldb,
+                            double* x, lapack_int ldx, double* rcond,
+                            double* berr, lapack_int n_err_bnds,
+                            double* err_bnds_norm, double* err_bnds_comp,
+                            lapack_int nparams, double* params );
+lapack_int LAPACKE_cporfsx( int matrix_order, char uplo, char equed,
+                            lapack_int n, lapack_int nrhs,
+                            const lapack_complex_float* a, lapack_int lda,
+                            const lapack_complex_float* af, lapack_int ldaf,
+                            const float* s, const lapack_complex_float* b,
+                            lapack_int ldb, lapack_complex_float* x,
+                            lapack_int ldx, float* rcond, float* berr,
+                            lapack_int n_err_bnds, float* err_bnds_norm,
+                            float* err_bnds_comp, lapack_int nparams,
+                            float* params );
+lapack_int LAPACKE_zporfsx( int matrix_order, char uplo, char equed,
+                            lapack_int n, lapack_int nrhs,
+                            const lapack_complex_double* a, lapack_int lda,
+                            const lapack_complex_double* af, lapack_int ldaf,
+                            const double* s, const lapack_complex_double* b,
+                            lapack_int ldb, lapack_complex_double* x,
+                            lapack_int ldx, double* rcond, double* berr,
+                            lapack_int n_err_bnds, double* err_bnds_norm,
+                            double* err_bnds_comp, lapack_int nparams,
+                            double* params );
+
+lapack_int LAPACKE_sposv( int matrix_order, char uplo, lapack_int n,
+                          lapack_int nrhs, float* a, lapack_int lda, float* b,
+                          lapack_int ldb );
+lapack_int LAPACKE_dposv( int matrix_order, char uplo, lapack_int n,
+                          lapack_int nrhs, double* a, lapack_int lda, double* b,
+                          lapack_int ldb );
+lapack_int LAPACKE_cposv( int matrix_order, char uplo, lapack_int n,
+                          lapack_int nrhs, lapack_complex_float* a,
+                          lapack_int lda, lapack_complex_float* b,
+                          lapack_int ldb );
+lapack_int LAPACKE_zposv( int matrix_order, char uplo, lapack_int n,
+                          lapack_int nrhs, lapack_complex_double* a,
+                          lapack_int lda, lapack_complex_double* b,
+                          lapack_int ldb );
+lapack_int LAPACKE_dsposv( int matrix_order, char uplo, lapack_int n,
+                           lapack_int nrhs, double* a, lapack_int lda,
+                           double* b, lapack_int ldb, double* x, lapack_int ldx,
+                           lapack_int* iter );
+lapack_int LAPACKE_zcposv( int matrix_order, char uplo, lapack_int n,
+                           lapack_int nrhs, lapack_complex_double* a,
+                           lapack_int lda, lapack_complex_double* b,
+                           lapack_int ldb, lapack_complex_double* x,
+                           lapack_int ldx, lapack_int* iter );
+
+lapack_int LAPACKE_sposvx( int matrix_order, char fact, char uplo, lapack_int n,
+                           lapack_int nrhs, float* a, lapack_int lda, float* af,
+                           lapack_int ldaf, char* equed, float* s, float* b,
+                           lapack_int ldb, float* x, lapack_int ldx,
+                           float* rcond, float* ferr, float* berr );
+lapack_int LAPACKE_dposvx( int matrix_order, char fact, char uplo, lapack_int n,
+                           lapack_int nrhs, double* a, lapack_int lda,
+                           double* af, lapack_int ldaf, char* equed, double* s,
+                           double* b, lapack_int ldb, double* x, lapack_int ldx,
+                           double* rcond, double* ferr, double* berr );
+lapack_int LAPACKE_cposvx( int matrix_order, char fact, char uplo, lapack_int n,
+                           lapack_int nrhs, lapack_complex_float* a,
+                           lapack_int lda, lapack_complex_float* af,
+                           lapack_int ldaf, char* equed, float* s,
+                           lapack_complex_float* b, lapack_int ldb,
+                           lapack_complex_float* x, lapack_int ldx,
+                           float* rcond, float* ferr, float* berr );
+lapack_int LAPACKE_zposvx( int matrix_order, char fact, char uplo, lapack_int n,
+                           lapack_int nrhs, lapack_complex_double* a,
+                           lapack_int lda, lapack_complex_double* af,
+                           lapack_int ldaf, char* equed, double* s,
+                           lapack_complex_double* b, lapack_int ldb,
+                           lapack_complex_double* x, lapack_int ldx,
+                           double* rcond, double* ferr, double* berr );
+
+lapack_int LAPACKE_sposvxx( int matrix_order, char fact, char uplo,
+                            lapack_int n, lapack_int nrhs, float* a,
+                            lapack_int lda, float* af, lapack_int ldaf,
+                            char* equed, float* s, float* b, lapack_int ldb,
+                            float* x, lapack_int ldx, float* rcond,
+                            float* rpvgrw, float* berr, lapack_int n_err_bnds,
+                            float* err_bnds_norm, float* err_bnds_comp,
+                            lapack_int nparams, float* params );
+lapack_int LAPACKE_dposvxx( int matrix_order, char fact, char uplo,
+                            lapack_int n, lapack_int nrhs, double* a,
+                            lapack_int lda, double* af, lapack_int ldaf,
+                            char* equed, double* s, double* b, lapack_int ldb,
+                            double* x, lapack_int ldx, double* rcond,
+                            double* rpvgrw, double* berr, lapack_int n_err_bnds,
+                            double* err_bnds_norm, double* err_bnds_comp,
+                            lapack_int nparams, double* params );
+lapack_int LAPACKE_cposvxx( int matrix_order, char fact, char uplo,
+                            lapack_int n, lapack_int nrhs,
+                            lapack_complex_float* a, lapack_int lda,
+                            lapack_complex_float* af, lapack_int ldaf,
+                            char* equed, float* s, lapack_complex_float* b,
+                            lapack_int ldb, lapack_complex_float* x,
+                            lapack_int ldx, float* rcond, float* rpvgrw,
+                            float* berr, lapack_int n_err_bnds,
+                            float* err_bnds_norm, float* err_bnds_comp,
+                            lapack_int nparams, float* params );
+lapack_int LAPACKE_zposvxx( int matrix_order, char fact, char uplo,
+                            lapack_int n, lapack_int nrhs,
+                            lapack_complex_double* a, lapack_int lda,
+                            lapack_complex_double* af, lapack_int ldaf,
+                            char* equed, double* s, lapack_complex_double* b,
+                            lapack_int ldb, lapack_complex_double* x,
+                            lapack_int ldx, double* rcond, double* rpvgrw,
+                            double* berr, lapack_int n_err_bnds,
+                            double* err_bnds_norm, double* err_bnds_comp,
+                            lapack_int nparams, double* params );
+
+lapack_int LAPACKE_spotrf( int matrix_order, char uplo, lapack_int n, float* a,
+                           lapack_int lda );
+lapack_int LAPACKE_dpotrf( int matrix_order, char uplo, lapack_int n, double* a,
+                           lapack_int lda );
+lapack_int LAPACKE_cpotrf( int matrix_order, char uplo, lapack_int n,
+                           lapack_complex_float* a, lapack_int lda );
+lapack_int LAPACKE_zpotrf( int matrix_order, char uplo, lapack_int n,
+                           lapack_complex_double* a, lapack_int lda );
+
+lapack_int LAPACKE_spotri( int matrix_order, char uplo, lapack_int n, float* a,
+                           lapack_int lda );
+lapack_int LAPACKE_dpotri( int matrix_order, char uplo, lapack_int n, double* a,
+                           lapack_int lda );
+lapack_int LAPACKE_cpotri( int matrix_order, char uplo, lapack_int n,
+                           lapack_complex_float* a, lapack_int lda );
+lapack_int LAPACKE_zpotri( int matrix_order, char uplo, lapack_int n,
+                           lapack_complex_double* a, lapack_int lda );
+
+lapack_int LAPACKE_spotrs( int matrix_order, char uplo, lapack_int n,
+                           lapack_int nrhs, const float* a, lapack_int lda,
+                           float* b, lapack_int ldb );
+lapack_int LAPACKE_dpotrs( int matrix_order, char uplo, lapack_int n,
+                           lapack_int nrhs, const double* a, lapack_int lda,
+                           double* b, lapack_int ldb );
+lapack_int LAPACKE_cpotrs( int matrix_order, char uplo, lapack_int n,
+                           lapack_int nrhs, const lapack_complex_float* a,
+                           lapack_int lda, lapack_complex_float* b,
+                           lapack_int ldb );
+lapack_int LAPACKE_zpotrs( int matrix_order, char uplo, lapack_int n,
+                           lapack_int nrhs, const lapack_complex_double* a,
+                           lapack_int lda, lapack_complex_double* b,
+                           lapack_int ldb );
+
+lapack_int LAPACKE_sppcon( int matrix_order, char uplo, lapack_int n,
+                           const float* ap, float anorm, float* rcond );
+lapack_int LAPACKE_dppcon( int matrix_order, char uplo, lapack_int n,
+                           const double* ap, double anorm, double* rcond );
+lapack_int LAPACKE_cppcon( int matrix_order, char uplo, lapack_int n,
+                           const lapack_complex_float* ap, float anorm,
+                           float* rcond );
+lapack_int LAPACKE_zppcon( int matrix_order, char uplo, lapack_int n,
+                           const lapack_complex_double* ap, double anorm,
+                           double* rcond );
+
+lapack_int LAPACKE_sppequ( int matrix_order, char uplo, lapack_int n,
+                           const float* ap, float* s, float* scond,
+                           float* amax );
+lapack_int LAPACKE_dppequ( int matrix_order, char uplo, lapack_int n,
+                           const double* ap, double* s, double* scond,
+                           double* amax );
+lapack_int LAPACKE_cppequ( int matrix_order, char uplo, lapack_int n,
+                           const lapack_complex_float* ap, float* s,
+                           float* scond, float* amax );
+lapack_int LAPACKE_zppequ( int matrix_order, char uplo, lapack_int n,
+                           const lapack_complex_double* ap, double* s,
+                           double* scond, double* amax );
+
+lapack_int LAPACKE_spprfs( int matrix_order, char uplo, lapack_int n,
+                           lapack_int nrhs, const float* ap, const float* afp,
+                           const float* b, lapack_int ldb, float* x,
+                           lapack_int ldx, float* ferr, float* berr );
+lapack_int LAPACKE_dpprfs( int matrix_order, char uplo, lapack_int n,
+                           lapack_int nrhs, const double* ap, const double* afp,
+                           const double* b, lapack_int ldb, double* x,
+                           lapack_int ldx, double* ferr, double* berr );
+lapack_int LAPACKE_cpprfs( int matrix_order, char uplo, lapack_int n,
+                           lapack_int nrhs, const lapack_complex_float* ap,
+                           const lapack_complex_float* afp,
+                           const lapack_complex_float* b, lapack_int ldb,
+                           lapack_complex_float* x, lapack_int ldx, float* ferr,
+                           float* berr );
+lapack_int LAPACKE_zpprfs( int matrix_order, char uplo, lapack_int n,
+                           lapack_int nrhs, const lapack_complex_double* ap,
+                           const lapack_complex_double* afp,
+                           const lapack_complex_double* b, lapack_int ldb,
+                           lapack_complex_double* x, lapack_int ldx,
+                           double* ferr, double* berr );
+
+lapack_int LAPACKE_sppsv( int matrix_order, char uplo, lapack_int n,
+                          lapack_int nrhs, float* ap, float* b,
+                          lapack_int ldb );
+lapack_int LAPACKE_dppsv( int matrix_order, char uplo, lapack_int n,
+                          lapack_int nrhs, double* ap, double* b,
+                          lapack_int ldb );
+lapack_int LAPACKE_cppsv( int matrix_order, char uplo, lapack_int n,
+                          lapack_int nrhs, lapack_complex_float* ap,
+                          lapack_complex_float* b, lapack_int ldb );
+lapack_int LAPACKE_zppsv( int matrix_order, char uplo, lapack_int n,
+                          lapack_int nrhs, lapack_complex_double* ap,
+                          lapack_complex_double* b, lapack_int ldb );
+
+lapack_int LAPACKE_sppsvx( int matrix_order, char fact, char uplo, lapack_int n,
+                           lapack_int nrhs, float* ap, float* afp, char* equed,
+                           float* s, float* b, lapack_int ldb, float* x,
+                           lapack_int ldx, float* rcond, float* ferr,
+                           float* berr );
+lapack_int LAPACKE_dppsvx( int matrix_order, char fact, char uplo, lapack_int n,
+                           lapack_int nrhs, double* ap, double* afp,
+                           char* equed, double* s, double* b, lapack_int ldb,
+                           double* x, lapack_int ldx, double* rcond,
+                           double* ferr, double* berr );
+lapack_int LAPACKE_cppsvx( int matrix_order, char fact, char uplo, lapack_int n,
+                           lapack_int nrhs, lapack_complex_float* ap,
+                           lapack_complex_float* afp, char* equed, float* s,
+                           lapack_complex_float* b, lapack_int ldb,
+                           lapack_complex_float* x, lapack_int ldx,
+                           float* rcond, float* ferr, float* berr );
+lapack_int LAPACKE_zppsvx( int matrix_order, char fact, char uplo, lapack_int n,
+                           lapack_int nrhs, lapack_complex_double* ap,
+                           lapack_complex_double* afp, char* equed, double* s,
+                           lapack_complex_double* b, lapack_int ldb,
+                           lapack_complex_double* x, lapack_int ldx,
+                           double* rcond, double* ferr, double* berr );
+
+lapack_int LAPACKE_spptrf( int matrix_order, char uplo, lapack_int n,
+                           float* ap );
+lapack_int LAPACKE_dpptrf( int matrix_order, char uplo, lapack_int n,
+                           double* ap );
+lapack_int LAPACKE_cpptrf( int matrix_order, char uplo, lapack_int n,
+                           lapack_complex_float* ap );
+lapack_int LAPACKE_zpptrf( int matrix_order, char uplo, lapack_int n,
+                           lapack_complex_double* ap );
+
+lapack_int LAPACKE_spptri( int matrix_order, char uplo, lapack_int n,
+                           float* ap );
+lapack_int LAPACKE_dpptri( int matrix_order, char uplo, lapack_int n,
+                           double* ap );
+lapack_int LAPACKE_cpptri( int matrix_order, char uplo, lapack_int n,
+                           lapack_complex_float* ap );
+lapack_int LAPACKE_zpptri( int matrix_order, char uplo, lapack_int n,
+                           lapack_complex_double* ap );
+
+lapack_int LAPACKE_spptrs( int matrix_order, char uplo, lapack_int n,
+                           lapack_int nrhs, const float* ap, float* b,
+                           lapack_int ldb );
+lapack_int LAPACKE_dpptrs( int matrix_order, char uplo, lapack_int n,
+                           lapack_int nrhs, const double* ap, double* b,
+                           lapack_int ldb );
+lapack_int LAPACKE_cpptrs( int matrix_order, char uplo, lapack_int n,
+                           lapack_int nrhs, const lapack_complex_float* ap,
+                           lapack_complex_float* b, lapack_int ldb );
+lapack_int LAPACKE_zpptrs( int matrix_order, char uplo, lapack_int n,
+                           lapack_int nrhs, const lapack_complex_double* ap,
+                           lapack_complex_double* b, lapack_int ldb );
+
+lapack_int LAPACKE_spstrf( int matrix_order, char uplo, lapack_int n, float* a,
+                           lapack_int lda, lapack_int* piv, lapack_int* rank,
+                           float tol );
+lapack_int LAPACKE_dpstrf( int matrix_order, char uplo, lapack_int n, double* a,
+                           lapack_int lda, lapack_int* piv, lapack_int* rank,
+                           double tol );
+lapack_int LAPACKE_cpstrf( int matrix_order, char uplo, lapack_int n,
+                           lapack_complex_float* a, lapack_int lda,
+                           lapack_int* piv, lapack_int* rank, float tol );
+lapack_int LAPACKE_zpstrf( int matrix_order, char uplo, lapack_int n,
+                           lapack_complex_double* a, lapack_int lda,
+                           lapack_int* piv, lapack_int* rank, double tol );
+
+lapack_int LAPACKE_sptcon( lapack_int n, const float* d, const float* e,
+                           float anorm, float* rcond );
+lapack_int LAPACKE_dptcon( lapack_int n, const double* d, const double* e,
+                           double anorm, double* rcond );
+lapack_int LAPACKE_cptcon( lapack_int n, const float* d,
+                           const lapack_complex_float* e, float anorm,
+                           float* rcond );
+lapack_int LAPACKE_zptcon( lapack_int n, const double* d,
+                           const lapack_complex_double* e, double anorm,
+                           double* rcond );
+
+lapack_int LAPACKE_spteqr( int matrix_order, char compz, lapack_int n, float* d,
+                           float* e, float* z, lapack_int ldz );
+lapack_int LAPACKE_dpteqr( int matrix_order, char compz, lapack_int n,
+                           double* d, double* e, double* z, lapack_int ldz );
+lapack_int LAPACKE_cpteqr( int matrix_order, char compz, lapack_int n, float* d,
+                           float* e, lapack_complex_float* z, lapack_int ldz );
+lapack_int LAPACKE_zpteqr( int matrix_order, char compz, lapack_int n,
+                           double* d, double* e, lapack_complex_double* z,
+                           lapack_int ldz );
+
+lapack_int LAPACKE_sptrfs( int matrix_order, lapack_int n, lapack_int nrhs,
+                           const float* d, const float* e, const float* df,
+                           const float* ef, const float* b, lapack_int ldb,
+                           float* x, lapack_int ldx, float* ferr, float* berr );
+lapack_int LAPACKE_dptrfs( int matrix_order, lapack_int n, lapack_int nrhs,
+                           const double* d, const double* e, const double* df,
+                           const double* ef, const double* b, lapack_int ldb,
+                           double* x, lapack_int ldx, double* ferr,
+                           double* berr );
+lapack_int LAPACKE_cptrfs( int matrix_order, char uplo, lapack_int n,
+                           lapack_int nrhs, const float* d,
+                           const lapack_complex_float* e, const float* df,
+                           const lapack_complex_float* ef,
+                           const lapack_complex_float* b, lapack_int ldb,
+                           lapack_complex_float* x, lapack_int ldx, float* ferr,
+                           float* berr );
+lapack_int LAPACKE_zptrfs( int matrix_order, char uplo, lapack_int n,
+                           lapack_int nrhs, const double* d,
+                           const lapack_complex_double* e, const double* df,
+                           const lapack_complex_double* ef,
+                           const lapack_complex_double* b, lapack_int ldb,
+                           lapack_complex_double* x, lapack_int ldx,
+                           double* ferr, double* berr );
+
+lapack_int LAPACKE_sptsv( int matrix_order, lapack_int n, lapack_int nrhs,
+                          float* d, float* e, float* b, lapack_int ldb );
+lapack_int LAPACKE_dptsv( int matrix_order, lapack_int n, lapack_int nrhs,
+                          double* d, double* e, double* b, lapack_int ldb );
+lapack_int LAPACKE_cptsv( int matrix_order, lapack_int n, lapack_int nrhs,
+                          float* d, lapack_complex_float* e,
+                          lapack_complex_float* b, lapack_int ldb );
+lapack_int LAPACKE_zptsv( int matrix_order, lapack_int n, lapack_int nrhs,
+                          double* d, lapack_complex_double* e,
+                          lapack_complex_double* b, lapack_int ldb );
+
+lapack_int LAPACKE_sptsvx( int matrix_order, char fact, lapack_int n,
+                           lapack_int nrhs, const float* d, const float* e,
+                           float* df, float* ef, const float* b, lapack_int ldb,
+                           float* x, lapack_int ldx, float* rcond, float* ferr,
+                           float* berr );
+lapack_int LAPACKE_dptsvx( int matrix_order, char fact, lapack_int n,
+                           lapack_int nrhs, const double* d, const double* e,
+                           double* df, double* ef, const double* b,
+                           lapack_int ldb, double* x, lapack_int ldx,
+                           double* rcond, double* ferr, double* berr );
+lapack_int LAPACKE_cptsvx( int matrix_order, char fact, lapack_int n,
+                           lapack_int nrhs, const float* d,
+                           const lapack_complex_float* e, float* df,
+                           lapack_complex_float* ef,
+                           const lapack_complex_float* b, lapack_int ldb,
+                           lapack_complex_float* x, lapack_int ldx,
+                           float* rcond, float* ferr, float* berr );
+lapack_int LAPACKE_zptsvx( int matrix_order, char fact, lapack_int n,
+                           lapack_int nrhs, const double* d,
+                           const lapack_complex_double* e, double* df,
+                           lapack_complex_double* ef,
+                           const lapack_complex_double* b, lapack_int ldb,
+                           lapack_complex_double* x, lapack_int ldx,
+                           double* rcond, double* ferr, double* berr );
+
+lapack_int LAPACKE_spttrf( lapack_int n, float* d, float* e );
+lapack_int LAPACKE_dpttrf( lapack_int n, double* d, double* e );
+lapack_int LAPACKE_cpttrf( lapack_int n, float* d, lapack_complex_float* e );
+lapack_int LAPACKE_zpttrf( lapack_int n, double* d, lapack_complex_double* e );
+
+lapack_int LAPACKE_spttrs( int matrix_order, lapack_int n, lapack_int nrhs,
+                           const float* d, const float* e, float* b,
+                           lapack_int ldb );
+lapack_int LAPACKE_dpttrs( int matrix_order, lapack_int n, lapack_int nrhs,
+                           const double* d, const double* e, double* b,
+                           lapack_int ldb );
+lapack_int LAPACKE_cpttrs( int matrix_order, char uplo, lapack_int n,
+                           lapack_int nrhs, const float* d,
+                           const lapack_complex_float* e,
+                           lapack_complex_float* b, lapack_int ldb );
+lapack_int LAPACKE_zpttrs( int matrix_order, char uplo, lapack_int n,
+                           lapack_int nrhs, const double* d,
+                           const lapack_complex_double* e,
+                           lapack_complex_double* b, lapack_int ldb );
+
+lapack_int LAPACKE_ssbev( int matrix_order, char jobz, char uplo, lapack_int n,
+                          lapack_int kd, float* ab, lapack_int ldab, float* w,
+                          float* z, lapack_int ldz );
+lapack_int LAPACKE_dsbev( int matrix_order, char jobz, char uplo, lapack_int n,
+                          lapack_int kd, double* ab, lapack_int ldab, double* w,
+                          double* z, lapack_int ldz );
+
+lapack_int LAPACKE_ssbevd( int matrix_order, char jobz, char uplo, lapack_int n,
+                           lapack_int kd, float* ab, lapack_int ldab, float* w,
+                           float* z, lapack_int ldz );
+lapack_int LAPACKE_dsbevd( int matrix_order, char jobz, char uplo, lapack_int n,
+                           lapack_int kd, double* ab, lapack_int ldab,
+                           double* w, double* z, lapack_int ldz );
+
+lapack_int LAPACKE_ssbevx( int matrix_order, char jobz, char range, char uplo,
+                           lapack_int n, lapack_int kd, float* ab,
+                           lapack_int ldab, float* q, lapack_int ldq, float vl,
+                           float vu, lapack_int il, lapack_int iu, float abstol,
+                           lapack_int* m, float* w, float* z, lapack_int ldz,
+                           lapack_int* ifail );
+lapack_int LAPACKE_dsbevx( int matrix_order, char jobz, char range, char uplo,
+                           lapack_int n, lapack_int kd, double* ab,
+                           lapack_int ldab, double* q, lapack_int ldq,
+                           double vl, double vu, lapack_int il, lapack_int iu,
+                           double abstol, lapack_int* m, double* w, double* z,
+                           lapack_int ldz, lapack_int* ifail );
+
+lapack_int LAPACKE_ssbgst( int matrix_order, char vect, char uplo, lapack_int n,
+                           lapack_int ka, lapack_int kb, float* ab,
+                           lapack_int ldab, const float* bb, lapack_int ldbb,
+                           float* x, lapack_int ldx );
+lapack_int LAPACKE_dsbgst( int matrix_order, char vect, char uplo, lapack_int n,
+                           lapack_int ka, lapack_int kb, double* ab,
+                           lapack_int ldab, const double* bb, lapack_int ldbb,
+                           double* x, lapack_int ldx );
+
+lapack_int LAPACKE_ssbgv( int matrix_order, char jobz, char uplo, lapack_int n,
+                          lapack_int ka, lapack_int kb, float* ab,
+                          lapack_int ldab, float* bb, lapack_int ldbb, float* w,
+                          float* z, lapack_int ldz );
+lapack_int LAPACKE_dsbgv( int matrix_order, char jobz, char uplo, lapack_int n,
+                          lapack_int ka, lapack_int kb, double* ab,
+                          lapack_int ldab, double* bb, lapack_int ldbb,
+                          double* w, double* z, lapack_int ldz );
+
+lapack_int LAPACKE_ssbgvd( int matrix_order, char jobz, char uplo, lapack_int n,
+                           lapack_int ka, lapack_int kb, float* ab,
+                           lapack_int ldab, float* bb, lapack_int ldbb,
+                           float* w, float* z, lapack_int ldz );
+lapack_int LAPACKE_dsbgvd( int matrix_order, char jobz, char uplo, lapack_int n,
+                           lapack_int ka, lapack_int kb, double* ab,
+                           lapack_int ldab, double* bb, lapack_int ldbb,
+                           double* w, double* z, lapack_int ldz );
+
+lapack_int LAPACKE_ssbgvx( int matrix_order, char jobz, char range, char uplo,
+                           lapack_int n, lapack_int ka, lapack_int kb,
+                           float* ab, lapack_int ldab, float* bb,
+                           lapack_int ldbb, float* q, lapack_int ldq, float vl,
+                           float vu, lapack_int il, lapack_int iu, float abstol,
+                           lapack_int* m, float* w, float* z, lapack_int ldz,
+                           lapack_int* ifail );
+lapack_int LAPACKE_dsbgvx( int matrix_order, char jobz, char range, char uplo,
+                           lapack_int n, lapack_int ka, lapack_int kb,
+                           double* ab, lapack_int ldab, double* bb,
+                           lapack_int ldbb, double* q, lapack_int ldq,
+                           double vl, double vu, lapack_int il, lapack_int iu,
+                           double abstol, lapack_int* m, double* w, double* z,
+                           lapack_int ldz, lapack_int* ifail );
+
+lapack_int LAPACKE_ssbtrd( int matrix_order, char vect, char uplo, lapack_int n,
+                           lapack_int kd, float* ab, lapack_int ldab, float* d,
+                           float* e, float* q, lapack_int ldq );
+lapack_int LAPACKE_dsbtrd( int matrix_order, char vect, char uplo, lapack_int n,
+                           lapack_int kd, double* ab, lapack_int ldab,
+                           double* d, double* e, double* q, lapack_int ldq );
+
+lapack_int LAPACKE_ssfrk( int matrix_order, char transr, char uplo, char trans,
+                          lapack_int n, lapack_int k, float alpha,
+                          const float* a, lapack_int lda, float beta,
+                          float* c );
+lapack_int LAPACKE_dsfrk( int matrix_order, char transr, char uplo, char trans,
+                          lapack_int n, lapack_int k, double alpha,
+                          const double* a, lapack_int lda, double beta,
+                          double* c );
+
+lapack_int LAPACKE_sspcon( int matrix_order, char uplo, lapack_int n,
+                           const float* ap, const lapack_int* ipiv, float anorm,
+                           float* rcond );
+lapack_int LAPACKE_dspcon( int matrix_order, char uplo, lapack_int n,
+                           const double* ap, const lapack_int* ipiv,
+                           double anorm, double* rcond );
+lapack_int LAPACKE_cspcon( int matrix_order, char uplo, lapack_int n,
+                           const lapack_complex_float* ap,
+                           const lapack_int* ipiv, float anorm, float* rcond );
+lapack_int LAPACKE_zspcon( int matrix_order, char uplo, lapack_int n,
+                           const lapack_complex_double* ap,
+                           const lapack_int* ipiv, double anorm,
+                           double* rcond );
+
+lapack_int LAPACKE_sspev( int matrix_order, char jobz, char uplo, lapack_int n,
+                          float* ap, float* w, float* z, lapack_int ldz );
+lapack_int LAPACKE_dspev( int matrix_order, char jobz, char uplo, lapack_int n,
+                          double* ap, double* w, double* z, lapack_int ldz );
+
+lapack_int LAPACKE_sspevd( int matrix_order, char jobz, char uplo, lapack_int n,
+                           float* ap, float* w, float* z, lapack_int ldz );
+lapack_int LAPACKE_dspevd( int matrix_order, char jobz, char uplo, lapack_int n,
+                           double* ap, double* w, double* z, lapack_int ldz );
+
+lapack_int LAPACKE_sspevx( int matrix_order, char jobz, char range, char uplo,
+                           lapack_int n, float* ap, float vl, float vu,
+                           lapack_int il, lapack_int iu, float abstol,
+                           lapack_int* m, float* w, float* z, lapack_int ldz,
+                           lapack_int* ifail );
+lapack_int LAPACKE_dspevx( int matrix_order, char jobz, char range, char uplo,
+                           lapack_int n, double* ap, double vl, double vu,
+                           lapack_int il, lapack_int iu, double abstol,
+                           lapack_int* m, double* w, double* z, lapack_int ldz,
+                           lapack_int* ifail );
+
+lapack_int LAPACKE_sspgst( int matrix_order, lapack_int itype, char uplo,
+                           lapack_int n, float* ap, const float* bp );
+lapack_int LAPACKE_dspgst( int matrix_order, lapack_int itype, char uplo,
+                           lapack_int n, double* ap, const double* bp );
+
+lapack_int LAPACKE_sspgv( int matrix_order, lapack_int itype, char jobz,
+                          char uplo, lapack_int n, float* ap, float* bp,
+                          float* w, float* z, lapack_int ldz );
+lapack_int LAPACKE_dspgv( int matrix_order, lapack_int itype, char jobz,
+                          char uplo, lapack_int n, double* ap, double* bp,
+                          double* w, double* z, lapack_int ldz );
+
+lapack_int LAPACKE_sspgvd( int matrix_order, lapack_int itype, char jobz,
+                           char uplo, lapack_int n, float* ap, float* bp,
+                           float* w, float* z, lapack_int ldz );
+lapack_int LAPACKE_dspgvd( int matrix_order, lapack_int itype, char jobz,
+                           char uplo, lapack_int n, double* ap, double* bp,
+                           double* w, double* z, lapack_int ldz );
+
+lapack_int LAPACKE_sspgvx( int matrix_order, lapack_int itype, char jobz,
+                           char range, char uplo, lapack_int n, float* ap,
+                           float* bp, float vl, float vu, lapack_int il,
+                           lapack_int iu, float abstol, lapack_int* m, float* w,
+                           float* z, lapack_int ldz, lapack_int* ifail );
+lapack_int LAPACKE_dspgvx( int matrix_order, lapack_int itype, char jobz,
+                           char range, char uplo, lapack_int n, double* ap,
+                           double* bp, double vl, double vu, lapack_int il,
+                           lapack_int iu, double abstol, lapack_int* m,
+                           double* w, double* z, lapack_int ldz,
+                           lapack_int* ifail );
+
+lapack_int LAPACKE_ssprfs( int matrix_order, char uplo, lapack_int n,
+                           lapack_int nrhs, const float* ap, const float* afp,
+                           const lapack_int* ipiv, const float* b,
+                           lapack_int ldb, float* x, lapack_int ldx,
+                           float* ferr, float* berr );
+lapack_int LAPACKE_dsprfs( int matrix_order, char uplo, lapack_int n,
+                           lapack_int nrhs, const double* ap, const double* afp,
+                           const lapack_int* ipiv, const double* b,
+                           lapack_int ldb, double* x, lapack_int ldx,
+                           double* ferr, double* berr );
+lapack_int LAPACKE_csprfs( int matrix_order, char uplo, lapack_int n,
+                           lapack_int nrhs, const lapack_complex_float* ap,
+                           const lapack_complex_float* afp,
+                           const lapack_int* ipiv,
+                           const lapack_complex_float* b, lapack_int ldb,
+                           lapack_complex_float* x, lapack_int ldx, float* ferr,
+                           float* berr );
+lapack_int LAPACKE_zsprfs( int matrix_order, char uplo, lapack_int n,
+                           lapack_int nrhs, const lapack_complex_double* ap,
+                           const lapack_complex_double* afp,
+                           const lapack_int* ipiv,
+                           const lapack_complex_double* b, lapack_int ldb,
+                           lapack_complex_double* x, lapack_int ldx,
+                           double* ferr, double* berr );
+
+lapack_int LAPACKE_sspsv( int matrix_order, char uplo, lapack_int n,
+                          lapack_int nrhs, float* ap, lapack_int* ipiv,
+                          float* b, lapack_int ldb );
+lapack_int LAPACKE_dspsv( int matrix_order, char uplo, lapack_int n,
+                          lapack_int nrhs, double* ap, lapack_int* ipiv,
+                          double* b, lapack_int ldb );
+lapack_int LAPACKE_cspsv( int matrix_order, char uplo, lapack_int n,
+                          lapack_int nrhs, lapack_complex_float* ap,
+                          lapack_int* ipiv, lapack_complex_float* b,
+                          lapack_int ldb );
+lapack_int LAPACKE_zspsv( int matrix_order, char uplo, lapack_int n,
+                          lapack_int nrhs, lapack_complex_double* ap,
+                          lapack_int* ipiv, lapack_complex_double* b,
+                          lapack_int ldb );
+
+lapack_int LAPACKE_sspsvx( int matrix_order, char fact, char uplo, lapack_int n,
+                           lapack_int nrhs, const float* ap, float* afp,
+                           lapack_int* ipiv, const float* b, lapack_int ldb,
+                           float* x, lapack_int ldx, float* rcond, float* ferr,
+                           float* berr );
+lapack_int LAPACKE_dspsvx( int matrix_order, char fact, char uplo, lapack_int n,
+                           lapack_int nrhs, const double* ap, double* afp,
+                           lapack_int* ipiv, const double* b, lapack_int ldb,
+                           double* x, lapack_int ldx, double* rcond,
+                           double* ferr, double* berr );
+lapack_int LAPACKE_cspsvx( int matrix_order, char fact, char uplo, lapack_int n,
+                           lapack_int nrhs, const lapack_complex_float* ap,
+                           lapack_complex_float* afp, lapack_int* ipiv,
+                           const lapack_complex_float* b, lapack_int ldb,
+                           lapack_complex_float* x, lapack_int ldx,
+                           float* rcond, float* ferr, float* berr );
+lapack_int LAPACKE_zspsvx( int matrix_order, char fact, char uplo, lapack_int n,
+                           lapack_int nrhs, const lapack_complex_double* ap,
+                           lapack_complex_double* afp, lapack_int* ipiv,
+                           const lapack_complex_double* b, lapack_int ldb,
+                           lapack_complex_double* x, lapack_int ldx,
+                           double* rcond, double* ferr, double* berr );
+
+lapack_int LAPACKE_ssptrd( int matrix_order, char uplo, lapack_int n, float* ap,
+                           float* d, float* e, float* tau );
+lapack_int LAPACKE_dsptrd( int matrix_order, char uplo, lapack_int n,
+                           double* ap, double* d, double* e, double* tau );
+
+lapack_int LAPACKE_ssptrf( int matrix_order, char uplo, lapack_int n, float* ap,
+                           lapack_int* ipiv );
+lapack_int LAPACKE_dsptrf( int matrix_order, char uplo, lapack_int n,
+                           double* ap, lapack_int* ipiv );
+lapack_int LAPACKE_csptrf( int matrix_order, char uplo, lapack_int n,
+                           lapack_complex_float* ap, lapack_int* ipiv );
+lapack_int LAPACKE_zsptrf( int matrix_order, char uplo, lapack_int n,
+                           lapack_complex_double* ap, lapack_int* ipiv );
+
+lapack_int LAPACKE_ssptri( int matrix_order, char uplo, lapack_int n, float* ap,
+                           const lapack_int* ipiv );
+lapack_int LAPACKE_dsptri( int matrix_order, char uplo, lapack_int n,
+                           double* ap, const lapack_int* ipiv );
+lapack_int LAPACKE_csptri( int matrix_order, char uplo, lapack_int n,
+                           lapack_complex_float* ap, const lapack_int* ipiv );
+lapack_int LAPACKE_zsptri( int matrix_order, char uplo, lapack_int n,
+                           lapack_complex_double* ap, const lapack_int* ipiv );
+
+lapack_int LAPACKE_ssptrs( int matrix_order, char uplo, lapack_int n,
+                           lapack_int nrhs, const float* ap,
+                           const lapack_int* ipiv, float* b, lapack_int ldb );
+lapack_int LAPACKE_dsptrs( int matrix_order, char uplo, lapack_int n,
+                           lapack_int nrhs, const double* ap,
+                           const lapack_int* ipiv, double* b, lapack_int ldb );
+lapack_int LAPACKE_csptrs( int matrix_order, char uplo, lapack_int n,
+                           lapack_int nrhs, const lapack_complex_float* ap,
+                           const lapack_int* ipiv, lapack_complex_float* b,
+                           lapack_int ldb );
+lapack_int LAPACKE_zsptrs( int matrix_order, char uplo, lapack_int n,
+                           lapack_int nrhs, const lapack_complex_double* ap,
+                           const lapack_int* ipiv, lapack_complex_double* b,
+                           lapack_int ldb );
+
+lapack_int LAPACKE_sstebz( char range, char order, lapack_int n, float vl,
+                           float vu, lapack_int il, lapack_int iu, float abstol,
+                           const float* d, const float* e, lapack_int* m,
+                           lapack_int* nsplit, float* w, lapack_int* iblock,
+                           lapack_int* isplit );
+lapack_int LAPACKE_dstebz( char range, char order, lapack_int n, double vl,
+                           double vu, lapack_int il, lapack_int iu,
+                           double abstol, const double* d, const double* e,
+                           lapack_int* m, lapack_int* nsplit, double* w,
+                           lapack_int* iblock, lapack_int* isplit );
+
+lapack_int LAPACKE_sstedc( int matrix_order, char compz, lapack_int n, float* d,
+                           float* e, float* z, lapack_int ldz );
+lapack_int LAPACKE_dstedc( int matrix_order, char compz, lapack_int n,
+                           double* d, double* e, double* z, lapack_int ldz );
+lapack_int LAPACKE_cstedc( int matrix_order, char compz, lapack_int n, float* d,
+                           float* e, lapack_complex_float* z, lapack_int ldz );
+lapack_int LAPACKE_zstedc( int matrix_order, char compz, lapack_int n,
+                           double* d, double* e, lapack_complex_double* z,
+                           lapack_int ldz );
+
+lapack_int LAPACKE_sstegr( int matrix_order, char jobz, char range,
+                           lapack_int n, float* d, float* e, float vl, float vu,
+                           lapack_int il, lapack_int iu, float abstol,
+                           lapack_int* m, float* w, float* z, lapack_int ldz,
+                           lapack_int* isuppz );
+lapack_int LAPACKE_dstegr( int matrix_order, char jobz, char range,
+                           lapack_int n, double* d, double* e, double vl,
+                           double vu, lapack_int il, lapack_int iu,
+                           double abstol, lapack_int* m, double* w, double* z,
+                           lapack_int ldz, lapack_int* isuppz );
+lapack_int LAPACKE_cstegr( int matrix_order, char jobz, char range,
+                           lapack_int n, float* d, float* e, float vl, float vu,
+                           lapack_int il, lapack_int iu, float abstol,
+                           lapack_int* m, float* w, lapack_complex_float* z,
+                           lapack_int ldz, lapack_int* isuppz );
+lapack_int LAPACKE_zstegr( int matrix_order, char jobz, char range,
+                           lapack_int n, double* d, double* e, double vl,
+                           double vu, lapack_int il, lapack_int iu,
+                           double abstol, lapack_int* m, double* w,
+                           lapack_complex_double* z, lapack_int ldz,
+                           lapack_int* isuppz );
+
+lapack_int LAPACKE_sstein( int matrix_order, lapack_int n, const float* d,
+                           const float* e, lapack_int m, const float* w,
+                           const lapack_int* iblock, const lapack_int* isplit,
+                           float* z, lapack_int ldz, lapack_int* ifailv );
+lapack_int LAPACKE_dstein( int matrix_order, lapack_int n, const double* d,
+                           const double* e, lapack_int m, const double* w,
+                           const lapack_int* iblock, const lapack_int* isplit,
+                           double* z, lapack_int ldz, lapack_int* ifailv );
+lapack_int LAPACKE_cstein( int matrix_order, lapack_int n, const float* d,
+                           const float* e, lapack_int m, const float* w,
+                           const lapack_int* iblock, const lapack_int* isplit,
+                           lapack_complex_float* z, lapack_int ldz,
+                           lapack_int* ifailv );
+lapack_int LAPACKE_zstein( int matrix_order, lapack_int n, const double* d,
+                           const double* e, lapack_int m, const double* w,
+                           const lapack_int* iblock, const lapack_int* isplit,
+                           lapack_complex_double* z, lapack_int ldz,
+                           lapack_int* ifailv );
+
+lapack_int LAPACKE_sstemr( int matrix_order, char jobz, char range,
+                           lapack_int n, float* d, float* e, float vl, float vu,
+                           lapack_int il, lapack_int iu, lapack_int* m,
+                           float* w, float* z, lapack_int ldz, lapack_int nzc,
+                           lapack_int* isuppz, lapack_logical* tryrac );
+lapack_int LAPACKE_dstemr( int matrix_order, char jobz, char range,
+                           lapack_int n, double* d, double* e, double vl,
+                           double vu, lapack_int il, lapack_int iu,
+                           lapack_int* m, double* w, double* z, lapack_int ldz,
+                           lapack_int nzc, lapack_int* isuppz,
+                           lapack_logical* tryrac );
+lapack_int LAPACKE_cstemr( int matrix_order, char jobz, char range,
+                           lapack_int n, float* d, float* e, float vl, float vu,
+                           lapack_int il, lapack_int iu, lapack_int* m,
+                           float* w, lapack_complex_float* z, lapack_int ldz,
+                           lapack_int nzc, lapack_int* isuppz,
+                           lapack_logical* tryrac );
+lapack_int LAPACKE_zstemr( int matrix_order, char jobz, char range,
+                           lapack_int n, double* d, double* e, double vl,
+                           double vu, lapack_int il, lapack_int iu,
+                           lapack_int* m, double* w, lapack_complex_double* z,
+                           lapack_int ldz, lapack_int nzc, lapack_int* isuppz,
+                           lapack_logical* tryrac );
+
+lapack_int LAPACKE_ssteqr( int matrix_order, char compz, lapack_int n, float* d,
+                           float* e, float* z, lapack_int ldz );
+lapack_int LAPACKE_dsteqr( int matrix_order, char compz, lapack_int n,
+                           double* d, double* e, double* z, lapack_int ldz );
+lapack_int LAPACKE_csteqr( int matrix_order, char compz, lapack_int n, float* d,
+                           float* e, lapack_complex_float* z, lapack_int ldz );
+lapack_int LAPACKE_zsteqr( int matrix_order, char compz, lapack_int n,
+                           double* d, double* e, lapack_complex_double* z,
+                           lapack_int ldz );
+
+lapack_int LAPACKE_ssterf( lapack_int n, float* d, float* e );
+lapack_int LAPACKE_dsterf( lapack_int n, double* d, double* e );
+
+lapack_int LAPACKE_sstev( int matrix_order, char jobz, lapack_int n, float* d,
+                          float* e, float* z, lapack_int ldz );
+lapack_int LAPACKE_dstev( int matrix_order, char jobz, lapack_int n, double* d,
+                          double* e, double* z, lapack_int ldz );
+
+lapack_int LAPACKE_sstevd( int matrix_order, char jobz, lapack_int n, float* d,
+                           float* e, float* z, lapack_int ldz );
+lapack_int LAPACKE_dstevd( int matrix_order, char jobz, lapack_int n, double* d,
+                           double* e, double* z, lapack_int ldz );
+
+lapack_int LAPACKE_sstevr( int matrix_order, char jobz, char range,
+                           lapack_int n, float* d, float* e, float vl, float vu,
+                           lapack_int il, lapack_int iu, float abstol,
+                           lapack_int* m, float* w, float* z, lapack_int ldz,
+                           lapack_int* isuppz );
+lapack_int LAPACKE_dstevr( int matrix_order, char jobz, char range,
+                           lapack_int n, double* d, double* e, double vl,
+                           double vu, lapack_int il, lapack_int iu,
+                           double abstol, lapack_int* m, double* w, double* z,
+                           lapack_int ldz, lapack_int* isuppz );
+
+lapack_int LAPACKE_sstevx( int matrix_order, char jobz, char range,
+                           lapack_int n, float* d, float* e, float vl, float vu,
+                           lapack_int il, lapack_int iu, float abstol,
+                           lapack_int* m, float* w, float* z, lapack_int ldz,
+                           lapack_int* ifail );
+lapack_int LAPACKE_dstevx( int matrix_order, char jobz, char range,
+                           lapack_int n, double* d, double* e, double vl,
+                           double vu, lapack_int il, lapack_int iu,
+                           double abstol, lapack_int* m, double* w, double* z,
+                           lapack_int ldz, lapack_int* ifail );
+
+lapack_int LAPACKE_ssycon( int matrix_order, char uplo, lapack_int n,
+                           const float* a, lapack_int lda,
+                           const lapack_int* ipiv, float anorm, float* rcond );
+lapack_int LAPACKE_dsycon( int matrix_order, char uplo, lapack_int n,
+                           const double* a, lapack_int lda,
+                           const lapack_int* ipiv, double anorm,
+                           double* rcond );
+lapack_int LAPACKE_csycon( int matrix_order, char uplo, lapack_int n,
+                           const lapack_complex_float* a, lapack_int lda,
+                           const lapack_int* ipiv, float anorm, float* rcond );
+lapack_int LAPACKE_zsycon( int matrix_order, char uplo, lapack_int n,
+                           const lapack_complex_double* a, lapack_int lda,
+                           const lapack_int* ipiv, double anorm,
+                           double* rcond );
+
+lapack_int LAPACKE_ssyequb( int matrix_order, char uplo, lapack_int n,
+                            const float* a, lapack_int lda, float* s,
+                            float* scond, float* amax );
+lapack_int LAPACKE_dsyequb( int matrix_order, char uplo, lapack_int n,
+                            const double* a, lapack_int lda, double* s,
+                            double* scond, double* amax );
+lapack_int LAPACKE_csyequb( int matrix_order, char uplo, lapack_int n,
+                            const lapack_complex_float* a, lapack_int lda,
+                            float* s, float* scond, float* amax );
+lapack_int LAPACKE_zsyequb( int matrix_order, char uplo, lapack_int n,
+                            const lapack_complex_double* a, lapack_int lda,
+                            double* s, double* scond, double* amax );
+
+lapack_int LAPACKE_ssyev( int matrix_order, char jobz, char uplo, lapack_int n,
+                          float* a, lapack_int lda, float* w );
+lapack_int LAPACKE_dsyev( int matrix_order, char jobz, char uplo, lapack_int n,
+                          double* a, lapack_int lda, double* w );
+
+lapack_int LAPACKE_ssyevd( int matrix_order, char jobz, char uplo, lapack_int n,
+                           float* a, lapack_int lda, float* w );
+lapack_int LAPACKE_dsyevd( int matrix_order, char jobz, char uplo, lapack_int n,
+                           double* a, lapack_int lda, double* w );
+
+lapack_int LAPACKE_ssyevr( int matrix_order, char jobz, char range, char uplo,
+                           lapack_int n, float* a, lapack_int lda, float vl,
+                           float vu, lapack_int il, lapack_int iu, float abstol,
+                           lapack_int* m, float* w, float* z, lapack_int ldz,
+                           lapack_int* isuppz );
+lapack_int LAPACKE_dsyevr( int matrix_order, char jobz, char range, char uplo,
+                           lapack_int n, double* a, lapack_int lda, double vl,
+                           double vu, lapack_int il, lapack_int iu,
+                           double abstol, lapack_int* m, double* w, double* z,
+                           lapack_int ldz, lapack_int* isuppz );
+
+lapack_int LAPACKE_ssyevx( int matrix_order, char jobz, char range, char uplo,
+                           lapack_int n, float* a, lapack_int lda, float vl,
+                           float vu, lapack_int il, lapack_int iu, float abstol,
+                           lapack_int* m, float* w, float* z, lapack_int ldz,
+                           lapack_int* ifail );
+lapack_int LAPACKE_dsyevx( int matrix_order, char jobz, char range, char uplo,
+                           lapack_int n, double* a, lapack_int lda, double vl,
+                           double vu, lapack_int il, lapack_int iu,
+                           double abstol, lapack_int* m, double* w, double* z,
+                           lapack_int ldz, lapack_int* ifail );
+
+lapack_int LAPACKE_ssygst( int matrix_order, lapack_int itype, char uplo,
+                           lapack_int n, float* a, lapack_int lda,
+                           const float* b, lapack_int ldb );
+lapack_int LAPACKE_dsygst( int matrix_order, lapack_int itype, char uplo,
+                           lapack_int n, double* a, lapack_int lda,
+                           const double* b, lapack_int ldb );
+
+lapack_int LAPACKE_ssygv( int matrix_order, lapack_int itype, char jobz,
+                          char uplo, lapack_int n, float* a, lapack_int lda,
+                          float* b, lapack_int ldb, float* w );
+lapack_int LAPACKE_dsygv( int matrix_order, lapack_int itype, char jobz,
+                          char uplo, lapack_int n, double* a, lapack_int lda,
+                          double* b, lapack_int ldb, double* w );
+
+lapack_int LAPACKE_ssygvd( int matrix_order, lapack_int itype, char jobz,
+                           char uplo, lapack_int n, float* a, lapack_int lda,
+                           float* b, lapack_int ldb, float* w );
+lapack_int LAPACKE_dsygvd( int matrix_order, lapack_int itype, char jobz,
+                           char uplo, lapack_int n, double* a, lapack_int lda,
+                           double* b, lapack_int ldb, double* w );
+
+lapack_int LAPACKE_ssygvx( int matrix_order, lapack_int itype, char jobz,
+                           char range, char uplo, lapack_int n, float* a,
+                           lapack_int lda, float* b, lapack_int ldb, float vl,
+                           float vu, lapack_int il, lapack_int iu, float abstol,
+                           lapack_int* m, float* w, float* z, lapack_int ldz,
+                           lapack_int* ifail );
+lapack_int LAPACKE_dsygvx( int matrix_order, lapack_int itype, char jobz,
+                           char range, char uplo, lapack_int n, double* a,
+                           lapack_int lda, double* b, lapack_int ldb, double vl,
+                           double vu, lapack_int il, lapack_int iu,
+                           double abstol, lapack_int* m, double* w, double* z,
+                           lapack_int ldz, lapack_int* ifail );
+
+lapack_int LAPACKE_ssyrfs( int matrix_order, char uplo, lapack_int n,
+                           lapack_int nrhs, const float* a, lapack_int lda,
+                           const float* af, lapack_int ldaf,
+                           const lapack_int* ipiv, const float* b,
+                           lapack_int ldb, float* x, lapack_int ldx,
+                           float* ferr, float* berr );
+lapack_int LAPACKE_dsyrfs( int matrix_order, char uplo, lapack_int n,
+                           lapack_int nrhs, const double* a, lapack_int lda,
+                           const double* af, lapack_int ldaf,
+                           const lapack_int* ipiv, const double* b,
+                           lapack_int ldb, double* x, lapack_int ldx,
+                           double* ferr, double* berr );
+lapack_int LAPACKE_csyrfs( int matrix_order, char uplo, lapack_int n,
+                           lapack_int nrhs, const lapack_complex_float* a,
+                           lapack_int lda, const lapack_complex_float* af,
+                           lapack_int ldaf, const lapack_int* ipiv,
+                           const lapack_complex_float* b, lapack_int ldb,
+                           lapack_complex_float* x, lapack_int ldx, float* ferr,
+                           float* berr );
+lapack_int LAPACKE_zsyrfs( int matrix_order, char uplo, lapack_int n,
+                           lapack_int nrhs, const lapack_complex_double* a,
+                           lapack_int lda, const lapack_complex_double* af,
+                           lapack_int ldaf, const lapack_int* ipiv,
+                           const lapack_complex_double* b, lapack_int ldb,
+                           lapack_complex_double* x, lapack_int ldx,
+                           double* ferr, double* berr );
+
+lapack_int LAPACKE_ssyrfsx( int matrix_order, char uplo, char equed,
+                            lapack_int n, lapack_int nrhs, const float* a,
+                            lapack_int lda, const float* af, lapack_int ldaf,
+                            const lapack_int* ipiv, const float* s,
+                            const float* b, lapack_int ldb, float* x,
+                            lapack_int ldx, float* rcond, float* berr,
+                            lapack_int n_err_bnds, float* err_bnds_norm,
+                            float* err_bnds_comp, lapack_int nparams,
+                            float* params );
+lapack_int LAPACKE_dsyrfsx( int matrix_order, char uplo, char equed,
+                            lapack_int n, lapack_int nrhs, const double* a,
+                            lapack_int lda, const double* af, lapack_int ldaf,
+                            const lapack_int* ipiv, const double* s,
+                            const double* b, lapack_int ldb, double* x,
+                            lapack_int ldx, double* rcond, double* berr,
+                            lapack_int n_err_bnds, double* err_bnds_norm,
+                            double* err_bnds_comp, lapack_int nparams,
+                            double* params );
+lapack_int LAPACKE_csyrfsx( int matrix_order, char uplo, char equed,
+                            lapack_int n, lapack_int nrhs,
+                            const lapack_complex_float* a, lapack_int lda,
+                            const lapack_complex_float* af, lapack_int ldaf,
+                            const lapack_int* ipiv, const float* s,
+                            const lapack_complex_float* b, lapack_int ldb,
+                            lapack_complex_float* x, lapack_int ldx,
+                            float* rcond, float* berr, lapack_int n_err_bnds,
+                            float* err_bnds_norm, float* err_bnds_comp,
+                            lapack_int nparams, float* params );
+lapack_int LAPACKE_zsyrfsx( int matrix_order, char uplo, char equed,
+                            lapack_int n, lapack_int nrhs,
+                            const lapack_complex_double* a, lapack_int lda,
+                            const lapack_complex_double* af, lapack_int ldaf,
+                            const lapack_int* ipiv, const double* s,
+                            const lapack_complex_double* b, lapack_int ldb,
+                            lapack_complex_double* x, lapack_int ldx,
+                            double* rcond, double* berr, lapack_int n_err_bnds,
+                            double* err_bnds_norm, double* err_bnds_comp,
+                            lapack_int nparams, double* params );
+
+lapack_int LAPACKE_ssysv( int matrix_order, char uplo, lapack_int n,
+                          lapack_int nrhs, float* a, lapack_int lda,
+                          lapack_int* ipiv, float* b, lapack_int ldb );
+lapack_int LAPACKE_dsysv( int matrix_order, char uplo, lapack_int n,
+                          lapack_int nrhs, double* a, lapack_int lda,
+                          lapack_int* ipiv, double* b, lapack_int ldb );
+lapack_int LAPACKE_csysv( int matrix_order, char uplo, lapack_int n,
+                          lapack_int nrhs, lapack_complex_float* a,
+                          lapack_int lda, lapack_int* ipiv,
+                          lapack_complex_float* b, lapack_int ldb );
+lapack_int LAPACKE_zsysv( int matrix_order, char uplo, lapack_int n,
+                          lapack_int nrhs, lapack_complex_double* a,
+                          lapack_int lda, lapack_int* ipiv,
+                          lapack_complex_double* b, lapack_int ldb );
+
+lapack_int LAPACKE_ssysvx( int matrix_order, char fact, char uplo, lapack_int n,
+                           lapack_int nrhs, const float* a, lapack_int lda,
+                           float* af, lapack_int ldaf, lapack_int* ipiv,
+                           const float* b, lapack_int ldb, float* x,
+                           lapack_int ldx, float* rcond, float* ferr,
+                           float* berr );
+lapack_int LAPACKE_dsysvx( int matrix_order, char fact, char uplo, lapack_int n,
+                           lapack_int nrhs, const double* a, lapack_int lda,
+                           double* af, lapack_int ldaf, lapack_int* ipiv,
+                           const double* b, lapack_int ldb, double* x,
+                           lapack_int ldx, double* rcond, double* ferr,
+                           double* berr );
+lapack_int LAPACKE_csysvx( int matrix_order, char fact, char uplo, lapack_int n,
+                           lapack_int nrhs, const lapack_complex_float* a,
+                           lapack_int lda, lapack_complex_float* af,
+                           lapack_int ldaf, lapack_int* ipiv,
+                           const lapack_complex_float* b, lapack_int ldb,
+                           lapack_complex_float* x, lapack_int ldx,
+                           float* rcond, float* ferr, float* berr );
+lapack_int LAPACKE_zsysvx( int matrix_order, char fact, char uplo, lapack_int n,
+                           lapack_int nrhs, const lapack_complex_double* a,
+                           lapack_int lda, lapack_complex_double* af,
+                           lapack_int ldaf, lapack_int* ipiv,
+                           const lapack_complex_double* b, lapack_int ldb,
+                           lapack_complex_double* x, lapack_int ldx,
+                           double* rcond, double* ferr, double* berr );
+
+lapack_int LAPACKE_ssysvxx( int matrix_order, char fact, char uplo,
+                            lapack_int n, lapack_int nrhs, float* a,
+                            lapack_int lda, float* af, lapack_int ldaf,
+                            lapack_int* ipiv, char* equed, float* s, float* b,
+                            lapack_int ldb, float* x, lapack_int ldx,
+                            float* rcond, float* rpvgrw, float* berr,
+                            lapack_int n_err_bnds, float* err_bnds_norm,
+                            float* err_bnds_comp, lapack_int nparams,
+                            float* params );
+lapack_int LAPACKE_dsysvxx( int matrix_order, char fact, char uplo,
+                            lapack_int n, lapack_int nrhs, double* a,
+                            lapack_int lda, double* af, lapack_int ldaf,
+                            lapack_int* ipiv, char* equed, double* s, double* b,
+                            lapack_int ldb, double* x, lapack_int ldx,
+                            double* rcond, double* rpvgrw, double* berr,
+                            lapack_int n_err_bnds, double* err_bnds_norm,
+                            double* err_bnds_comp, lapack_int nparams,
+                            double* params );
+lapack_int LAPACKE_csysvxx( int matrix_order, char fact, char uplo,
+                            lapack_int n, lapack_int nrhs,
+                            lapack_complex_float* a, lapack_int lda,
+                            lapack_complex_float* af, lapack_int ldaf,
+                            lapack_int* ipiv, char* equed, float* s,
+                            lapack_complex_float* b, lapack_int ldb,
+                            lapack_complex_float* x, lapack_int ldx,
+                            float* rcond, float* rpvgrw, float* berr,
+                            lapack_int n_err_bnds, float* err_bnds_norm,
+                            float* err_bnds_comp, lapack_int nparams,
+                            float* params );
+lapack_int LAPACKE_zsysvxx( int matrix_order, char fact, char uplo,
+                            lapack_int n, lapack_int nrhs,
+                            lapack_complex_double* a, lapack_int lda,
+                            lapack_complex_double* af, lapack_int ldaf,
+                            lapack_int* ipiv, char* equed, double* s,
+                            lapack_complex_double* b, lapack_int ldb,
+                            lapack_complex_double* x, lapack_int ldx,
+                            double* rcond, double* rpvgrw, double* berr,
+                            lapack_int n_err_bnds, double* err_bnds_norm,
+                            double* err_bnds_comp, lapack_int nparams,
+                            double* params );
+
+lapack_int LAPACKE_ssytrd( int matrix_order, char uplo, lapack_int n, float* a,
+                           lapack_int lda, float* d, float* e, float* tau );
+lapack_int LAPACKE_dsytrd( int matrix_order, char uplo, lapack_int n, double* a,
+                           lapack_int lda, double* d, double* e, double* tau );
+
+lapack_int LAPACKE_ssytrf( int matrix_order, char uplo, lapack_int n, float* a,
+                           lapack_int lda, lapack_int* ipiv );
+lapack_int LAPACKE_dsytrf( int matrix_order, char uplo, lapack_int n, double* a,
+                           lapack_int lda, lapack_int* ipiv );
+lapack_int LAPACKE_csytrf( int matrix_order, char uplo, lapack_int n,
+                           lapack_complex_float* a, lapack_int lda,
+                           lapack_int* ipiv );
+lapack_int LAPACKE_zsytrf( int matrix_order, char uplo, lapack_int n,
+                           lapack_complex_double* a, lapack_int lda,
+                           lapack_int* ipiv );
+
+lapack_int LAPACKE_ssytri( int matrix_order, char uplo, lapack_int n, float* a,
+                           lapack_int lda, const lapack_int* ipiv );
+lapack_int LAPACKE_dsytri( int matrix_order, char uplo, lapack_int n, double* a,
+                           lapack_int lda, const lapack_int* ipiv );
+lapack_int LAPACKE_csytri( int matrix_order, char uplo, lapack_int n,
+                           lapack_complex_float* a, lapack_int lda,
+                           const lapack_int* ipiv );
+lapack_int LAPACKE_zsytri( int matrix_order, char uplo, lapack_int n,
+                           lapack_complex_double* a, lapack_int lda,
+                           const lapack_int* ipiv );
+
+lapack_int LAPACKE_ssytrs( int matrix_order, char uplo, lapack_int n,
+                           lapack_int nrhs, const float* a, lapack_int lda,
+                           const lapack_int* ipiv, float* b, lapack_int ldb );
+lapack_int LAPACKE_dsytrs( int matrix_order, char uplo, lapack_int n,
+                           lapack_int nrhs, const double* a, lapack_int lda,
+                           const lapack_int* ipiv, double* b, lapack_int ldb );
+lapack_int LAPACKE_csytrs( int matrix_order, char uplo, lapack_int n,
+                           lapack_int nrhs, const lapack_complex_float* a,
+                           lapack_int lda, const lapack_int* ipiv,
+                           lapack_complex_float* b, lapack_int ldb );
+lapack_int LAPACKE_zsytrs( int matrix_order, char uplo, lapack_int n,
+                           lapack_int nrhs, const lapack_complex_double* a,
+                           lapack_int lda, const lapack_int* ipiv,
+                           lapack_complex_double* b, lapack_int ldb );
+
+lapack_int LAPACKE_stbcon( int matrix_order, char norm, char uplo, char diag,
+                           lapack_int n, lapack_int kd, const float* ab,
+                           lapack_int ldab, float* rcond );
+lapack_int LAPACKE_dtbcon( int matrix_order, char norm, char uplo, char diag,
+                           lapack_int n, lapack_int kd, const double* ab,
+                           lapack_int ldab, double* rcond );
+lapack_int LAPACKE_ctbcon( int matrix_order, char norm, char uplo, char diag,
+                           lapack_int n, lapack_int kd,
+                           const lapack_complex_float* ab, lapack_int ldab,
+                           float* rcond );
+lapack_int LAPACKE_ztbcon( int matrix_order, char norm, char uplo, char diag,
+                           lapack_int n, lapack_int kd,
+                           const lapack_complex_double* ab, lapack_int ldab,
+                           double* rcond );
+
+lapack_int LAPACKE_stbrfs( int matrix_order, char uplo, char trans, char diag,
+                           lapack_int n, lapack_int kd, lapack_int nrhs,
+                           const float* ab, lapack_int ldab, const float* b,
+                           lapack_int ldb, const float* x, lapack_int ldx,
+                           float* ferr, float* berr );
+lapack_int LAPACKE_dtbrfs( int matrix_order, char uplo, char trans, char diag,
+                           lapack_int n, lapack_int kd, lapack_int nrhs,
+                           const double* ab, lapack_int ldab, const double* b,
+                           lapack_int ldb, const double* x, lapack_int ldx,
+                           double* ferr, double* berr );
+lapack_int LAPACKE_ctbrfs( int matrix_order, char uplo, char trans, char diag,
+                           lapack_int n, lapack_int kd, lapack_int nrhs,
+                           const lapack_complex_float* ab, lapack_int ldab,
+                           const lapack_complex_float* b, lapack_int ldb,
+                           const lapack_complex_float* x, lapack_int ldx,
+                           float* ferr, float* berr );
+lapack_int LAPACKE_ztbrfs( int matrix_order, char uplo, char trans, char diag,
+                           lapack_int n, lapack_int kd, lapack_int nrhs,
+                           const lapack_complex_double* ab, lapack_int ldab,
+                           const lapack_complex_double* b, lapack_int ldb,
+                           const lapack_complex_double* x, lapack_int ldx,
+                           double* ferr, double* berr );
+
+lapack_int LAPACKE_stbtrs( int matrix_order, char uplo, char trans, char diag,
+                           lapack_int n, lapack_int kd, lapack_int nrhs,
+                           const float* ab, lapack_int ldab, float* b,
+                           lapack_int ldb );
+lapack_int LAPACKE_dtbtrs( int matrix_order, char uplo, char trans, char diag,
+                           lapack_int n, lapack_int kd, lapack_int nrhs,
+                           const double* ab, lapack_int ldab, double* b,
+                           lapack_int ldb );
+lapack_int LAPACKE_ctbtrs( int matrix_order, char uplo, char trans, char diag,
+                           lapack_int n, lapack_int kd, lapack_int nrhs,
+                           const lapack_complex_float* ab, lapack_int ldab,
+                           lapack_complex_float* b, lapack_int ldb );
+lapack_int LAPACKE_ztbtrs( int matrix_order, char uplo, char trans, char diag,
+                           lapack_int n, lapack_int kd, lapack_int nrhs,
+                           const lapack_complex_double* ab, lapack_int ldab,
+                           lapack_complex_double* b, lapack_int ldb );
+
+lapack_int LAPACKE_stfsm( int matrix_order, char transr, char side, char uplo,
+                          char trans, char diag, lapack_int m, lapack_int n,
+                          float alpha, const float* a, float* b,
+                          lapack_int ldb );
+lapack_int LAPACKE_dtfsm( int matrix_order, char transr, char side, char uplo,
+                          char trans, char diag, lapack_int m, lapack_int n,
+                          double alpha, const double* a, double* b,
+                          lapack_int ldb );
+lapack_int LAPACKE_ctfsm( int matrix_order, char transr, char side, char uplo,
+                          char trans, char diag, lapack_int m, lapack_int n,
+                          lapack_complex_float alpha,
+                          const lapack_complex_float* a,
+                          lapack_complex_float* b, lapack_int ldb );
+lapack_int LAPACKE_ztfsm( int matrix_order, char transr, char side, char uplo,
+                          char trans, char diag, lapack_int m, lapack_int n,
+                          lapack_complex_double alpha,
+                          const lapack_complex_double* a,
+                          lapack_complex_double* b, lapack_int ldb );
+
+lapack_int LAPACKE_stftri( int matrix_order, char transr, char uplo, char diag,
+                           lapack_int n, float* a );
+lapack_int LAPACKE_dtftri( int matrix_order, char transr, char uplo, char diag,
+                           lapack_int n, double* a );
+lapack_int LAPACKE_ctftri( int matrix_order, char transr, char uplo, char diag,
+                           lapack_int n, lapack_complex_float* a );
+lapack_int LAPACKE_ztftri( int matrix_order, char transr, char uplo, char diag,
+                           lapack_int n, lapack_complex_double* a );
+
+lapack_int LAPACKE_stfttp( int matrix_order, char transr, char uplo,
+                           lapack_int n, const float* arf, float* ap );
+lapack_int LAPACKE_dtfttp( int matrix_order, char transr, char uplo,
+                           lapack_int n, const double* arf, double* ap );
+lapack_int LAPACKE_ctfttp( int matrix_order, char transr, char uplo,
+                           lapack_int n, const lapack_complex_float* arf,
+                           lapack_complex_float* ap );
+lapack_int LAPACKE_ztfttp( int matrix_order, char transr, char uplo,
+                           lapack_int n, const lapack_complex_double* arf,
+                           lapack_complex_double* ap );
+
+lapack_int LAPACKE_stfttr( int matrix_order, char transr, char uplo,
+                           lapack_int n, const float* arf, float* a,
+                           lapack_int lda );
+lapack_int LAPACKE_dtfttr( int matrix_order, char transr, char uplo,
+                           lapack_int n, const double* arf, double* a,
+                           lapack_int lda );
+lapack_int LAPACKE_ctfttr( int matrix_order, char transr, char uplo,
+                           lapack_int n, const lapack_complex_float* arf,
+                           lapack_complex_float* a, lapack_int lda );
+lapack_int LAPACKE_ztfttr( int matrix_order, char transr, char uplo,
+                           lapack_int n, const lapack_complex_double* arf,
+                           lapack_complex_double* a, lapack_int lda );
+
+lapack_int LAPACKE_stgevc( int matrix_order, char side, char howmny,
+                           const lapack_logical* select, lapack_int n,
+                           const float* s, lapack_int lds, const float* p,
+                           lapack_int ldp, float* vl, lapack_int ldvl,
+                           float* vr, lapack_int ldvr, lapack_int mm,
+                           lapack_int* m );
+lapack_int LAPACKE_dtgevc( int matrix_order, char side, char howmny,
+                           const lapack_logical* select, lapack_int n,
+                           const double* s, lapack_int lds, const double* p,
+                           lapack_int ldp, double* vl, lapack_int ldvl,
+                           double* vr, lapack_int ldvr, lapack_int mm,
+                           lapack_int* m );
+lapack_int LAPACKE_ctgevc( int matrix_order, char side, char howmny,
+                           const lapack_logical* select, lapack_int n,
+                           const lapack_complex_float* s, lapack_int lds,
+                           const lapack_complex_float* p, lapack_int ldp,
+                           lapack_complex_float* vl, lapack_int ldvl,
+                           lapack_complex_float* vr, lapack_int ldvr,
+                           lapack_int mm, lapack_int* m );
+lapack_int LAPACKE_ztgevc( int matrix_order, char side, char howmny,
+                           const lapack_logical* select, lapack_int n,
+                           const lapack_complex_double* s, lapack_int lds,
+                           const lapack_complex_double* p, lapack_int ldp,
+                           lapack_complex_double* vl, lapack_int ldvl,
+                           lapack_complex_double* vr, lapack_int ldvr,
+                           lapack_int mm, lapack_int* m );
+
+lapack_int LAPACKE_stgexc( int matrix_order, lapack_logical wantq,
+                           lapack_logical wantz, lapack_int n, float* a,
+                           lapack_int lda, float* b, lapack_int ldb, float* q,
+                           lapack_int ldq, float* z, lapack_int ldz,
+                           lapack_int* ifst, lapack_int* ilst );
+lapack_int LAPACKE_dtgexc( int matrix_order, lapack_logical wantq,
+                           lapack_logical wantz, lapack_int n, double* a,
+                           lapack_int lda, double* b, lapack_int ldb, double* q,
+                           lapack_int ldq, double* z, lapack_int ldz,
+                           lapack_int* ifst, lapack_int* ilst );
+lapack_int LAPACKE_ctgexc( int matrix_order, lapack_logical wantq,
+                           lapack_logical wantz, lapack_int n,
+                           lapack_complex_float* a, lapack_int lda,
+                           lapack_complex_float* b, lapack_int ldb,
+                           lapack_complex_float* q, lapack_int ldq,
+                           lapack_complex_float* z, lapack_int ldz,
+                           lapack_int ifst, lapack_int ilst );
+lapack_int LAPACKE_ztgexc( int matrix_order, lapack_logical wantq,
+                           lapack_logical wantz, lapack_int n,
+                           lapack_complex_double* a, lapack_int lda,
+                           lapack_complex_double* b, lapack_int ldb,
+                           lapack_complex_double* q, lapack_int ldq,
+                           lapack_complex_double* z, lapack_int ldz,
+                           lapack_int ifst, lapack_int ilst );
+
+lapack_int LAPACKE_stgsen( int matrix_order, lapack_int ijob,
+                           lapack_logical wantq, lapack_logical wantz,
+                           const lapack_logical* select, lapack_int n, float* a,
+                           lapack_int lda, float* b, lapack_int ldb,
+                           float* alphar, float* alphai, float* beta, float* q,
+                           lapack_int ldq, float* z, lapack_int ldz,
+                           lapack_int* m, float* pl, float* pr, float* dif );
+lapack_int LAPACKE_dtgsen( int matrix_order, lapack_int ijob,
+                           lapack_logical wantq, lapack_logical wantz,
+                           const lapack_logical* select, lapack_int n,
+                           double* a, lapack_int lda, double* b, lapack_int ldb,
+                           double* alphar, double* alphai, double* beta,
+                           double* q, lapack_int ldq, double* z, lapack_int ldz,
+                           lapack_int* m, double* pl, double* pr, double* dif );
+lapack_int LAPACKE_ctgsen( int matrix_order, lapack_int ijob,
+                           lapack_logical wantq, lapack_logical wantz,
+                           const lapack_logical* select, lapack_int n,
+                           lapack_complex_float* a, lapack_int lda,
+                           lapack_complex_float* b, lapack_int ldb,
+                           lapack_complex_float* alpha,
+                           lapack_complex_float* beta, lapack_complex_float* q,
+                           lapack_int ldq, lapack_complex_float* z,
+                           lapack_int ldz, lapack_int* m, float* pl, float* pr,
+                           float* dif );
+lapack_int LAPACKE_ztgsen( int matrix_order, lapack_int ijob,
+                           lapack_logical wantq, lapack_logical wantz,
+                           const lapack_logical* select, lapack_int n,
+                           lapack_complex_double* a, lapack_int lda,
+                           lapack_complex_double* b, lapack_int ldb,
+                           lapack_complex_double* alpha,
+                           lapack_complex_double* beta,
+                           lapack_complex_double* q, lapack_int ldq,
+                           lapack_complex_double* z, lapack_int ldz,
+                           lapack_int* m, double* pl, double* pr, double* dif );
+
+lapack_int LAPACKE_stgsja( int matrix_order, char jobu, char jobv, char jobq,
+                           lapack_int m, lapack_int p, lapack_int n,
+                           lapack_int k, lapack_int l, float* a, lapack_int lda,
+                           float* b, lapack_int ldb, float tola, float tolb,
+                           float* alpha, float* beta, float* u, lapack_int ldu,
+                           float* v, lapack_int ldv, float* q, lapack_int ldq,
+                           lapack_int* ncycle );
+lapack_int LAPACKE_dtgsja( int matrix_order, char jobu, char jobv, char jobq,
+                           lapack_int m, lapack_int p, lapack_int n,
+                           lapack_int k, lapack_int l, double* a,
+                           lapack_int lda, double* b, lapack_int ldb,
+                           double tola, double tolb, double* alpha,
+                           double* beta, double* u, lapack_int ldu, double* v,
+                           lapack_int ldv, double* q, lapack_int ldq,
+                           lapack_int* ncycle );
+lapack_int LAPACKE_ctgsja( int matrix_order, char jobu, char jobv, char jobq,
+                           lapack_int m, lapack_int p, lapack_int n,
+                           lapack_int k, lapack_int l, lapack_complex_float* a,
+                           lapack_int lda, lapack_complex_float* b,
+                           lapack_int ldb, float tola, float tolb, float* alpha,
+                           float* beta, lapack_complex_float* u, lapack_int ldu,
+                           lapack_complex_float* v, lapack_int ldv,
+                           lapack_complex_float* q, lapack_int ldq,
+                           lapack_int* ncycle );
+lapack_int LAPACKE_ztgsja( int matrix_order, char jobu, char jobv, char jobq,
+                           lapack_int m, lapack_int p, lapack_int n,
+                           lapack_int k, lapack_int l, lapack_complex_double* a,
+                           lapack_int lda, lapack_complex_double* b,
+                           lapack_int ldb, double tola, double tolb,
+                           double* alpha, double* beta,
+                           lapack_complex_double* u, lapack_int ldu,
+                           lapack_complex_double* v, lapack_int ldv,
+                           lapack_complex_double* q, lapack_int ldq,
+                           lapack_int* ncycle );
+
+lapack_int LAPACKE_stgsna( int matrix_order, char job, char howmny,
+                           const lapack_logical* select, lapack_int n,
+                           const float* a, lapack_int lda, const float* b,
+                           lapack_int ldb, const float* vl, lapack_int ldvl,
+                           const float* vr, lapack_int ldvr, float* s,
+                           float* dif, lapack_int mm, lapack_int* m );
+lapack_int LAPACKE_dtgsna( int matrix_order, char job, char howmny,
+                           const lapack_logical* select, lapack_int n,
+                           const double* a, lapack_int lda, const double* b,
+                           lapack_int ldb, const double* vl, lapack_int ldvl,
+                           const double* vr, lapack_int ldvr, double* s,
+                           double* dif, lapack_int mm, lapack_int* m );
+lapack_int LAPACKE_ctgsna( int matrix_order, char job, char howmny,
+                           const lapack_logical* select, lapack_int n,
+                           const lapack_complex_float* a, lapack_int lda,
+                           const lapack_complex_float* b, lapack_int ldb,
+                           const lapack_complex_float* vl, lapack_int ldvl,
+                           const lapack_complex_float* vr, lapack_int ldvr,
+                           float* s, float* dif, lapack_int mm, lapack_int* m );
+lapack_int LAPACKE_ztgsna( int matrix_order, char job, char howmny,
+                           const lapack_logical* select, lapack_int n,
+                           const lapack_complex_double* a, lapack_int lda,
+                           const lapack_complex_double* b, lapack_int ldb,
+                           const lapack_complex_double* vl, lapack_int ldvl,
+                           const lapack_complex_double* vr, lapack_int ldvr,
+                           double* s, double* dif, lapack_int mm,
+                           lapack_int* m );
+
+lapack_int LAPACKE_stgsyl( int matrix_order, char trans, lapack_int ijob,
+                           lapack_int m, lapack_int n, const float* a,
+                           lapack_int lda, const float* b, lapack_int ldb,
+                           float* c, lapack_int ldc, const float* d,
+                           lapack_int ldd, const float* e, lapack_int lde,
+                           float* f, lapack_int ldf, float* scale, float* dif );
+lapack_int LAPACKE_dtgsyl( int matrix_order, char trans, lapack_int ijob,
+                           lapack_int m, lapack_int n, const double* a,
+                           lapack_int lda, const double* b, lapack_int ldb,
+                           double* c, lapack_int ldc, const double* d,
+                           lapack_int ldd, const double* e, lapack_int lde,
+                           double* f, lapack_int ldf, double* scale,
+                           double* dif );
+lapack_int LAPACKE_ctgsyl( int matrix_order, char trans, lapack_int ijob,
+                           lapack_int m, lapack_int n,
+                           const lapack_complex_float* a, lapack_int lda,
+                           const lapack_complex_float* b, lapack_int ldb,
+                           lapack_complex_float* c, lapack_int ldc,
+                           const lapack_complex_float* d, lapack_int ldd,
+                           const lapack_complex_float* e, lapack_int lde,
+                           lapack_complex_float* f, lapack_int ldf,
+                           float* scale, float* dif );
+lapack_int LAPACKE_ztgsyl( int matrix_order, char trans, lapack_int ijob,
+                           lapack_int m, lapack_int n,
+                           const lapack_complex_double* a, lapack_int lda,
+                           const lapack_complex_double* b, lapack_int ldb,
+                           lapack_complex_double* c, lapack_int ldc,
+                           const lapack_complex_double* d, lapack_int ldd,
+                           const lapack_complex_double* e, lapack_int lde,
+                           lapack_complex_double* f, lapack_int ldf,
+                           double* scale, double* dif );
+
+lapack_int LAPACKE_stpcon( int matrix_order, char norm, char uplo, char diag,
+                           lapack_int n, const float* ap, float* rcond );
+lapack_int LAPACKE_dtpcon( int matrix_order, char norm, char uplo, char diag,
+                           lapack_int n, const double* ap, double* rcond );
+lapack_int LAPACKE_ctpcon( int matrix_order, char norm, char uplo, char diag,
+                           lapack_int n, const lapack_complex_float* ap,
+                           float* rcond );
+lapack_int LAPACKE_ztpcon( int matrix_order, char norm, char uplo, char diag,
+                           lapack_int n, const lapack_complex_double* ap,
+                           double* rcond );
+
+lapack_int LAPACKE_stprfs( int matrix_order, char uplo, char trans, char diag,
+                           lapack_int n, lapack_int nrhs, const float* ap,
+                           const float* b, lapack_int ldb, const float* x,
+                           lapack_int ldx, float* ferr, float* berr );
+lapack_int LAPACKE_dtprfs( int matrix_order, char uplo, char trans, char diag,
+                           lapack_int n, lapack_int nrhs, const double* ap,
+                           const double* b, lapack_int ldb, const double* x,
+                           lapack_int ldx, double* ferr, double* berr );
+lapack_int LAPACKE_ctprfs( int matrix_order, char uplo, char trans, char diag,
+                           lapack_int n, lapack_int nrhs,
+                           const lapack_complex_float* ap,
+                           const lapack_complex_float* b, lapack_int ldb,
+                           const lapack_complex_float* x, lapack_int ldx,
+                           float* ferr, float* berr );
+lapack_int LAPACKE_ztprfs( int matrix_order, char uplo, char trans, char diag,
+                           lapack_int n, lapack_int nrhs,
+                           const lapack_complex_double* ap,
+                           const lapack_complex_double* b, lapack_int ldb,
+                           const lapack_complex_double* x, lapack_int ldx,
+                           double* ferr, double* berr );
+
+lapack_int LAPACKE_stptri( int matrix_order, char uplo, char diag, lapack_int n,
+                           float* ap );
+lapack_int LAPACKE_dtptri( int matrix_order, char uplo, char diag, lapack_int n,
+                           double* ap );
+lapack_int LAPACKE_ctptri( int matrix_order, char uplo, char diag, lapack_int n,
+                           lapack_complex_float* ap );
+lapack_int LAPACKE_ztptri( int matrix_order, char uplo, char diag, lapack_int n,
+                           lapack_complex_double* ap );
+
+lapack_int LAPACKE_stptrs( int matrix_order, char uplo, char trans, char diag,
+                           lapack_int n, lapack_int nrhs, const float* ap,
+                           float* b, lapack_int ldb );
+lapack_int LAPACKE_dtptrs( int matrix_order, char uplo, char trans, char diag,
+                           lapack_int n, lapack_int nrhs, const double* ap,
+                           double* b, lapack_int ldb );
+lapack_int LAPACKE_ctptrs( int matrix_order, char uplo, char trans, char diag,
+                           lapack_int n, lapack_int nrhs,
+                           const lapack_complex_float* ap,
+                           lapack_complex_float* b, lapack_int ldb );
+lapack_int LAPACKE_ztptrs( int matrix_order, char uplo, char trans, char diag,
+                           lapack_int n, lapack_int nrhs,
+                           const lapack_complex_double* ap,
+                           lapack_complex_double* b, lapack_int ldb );
+
+lapack_int LAPACKE_stpttf( int matrix_order, char transr, char uplo,
+                           lapack_int n, const float* ap, float* arf );
+lapack_int LAPACKE_dtpttf( int matrix_order, char transr, char uplo,
+                           lapack_int n, const double* ap, double* arf );
+lapack_int LAPACKE_ctpttf( int matrix_order, char transr, char uplo,
+                           lapack_int n, const lapack_complex_float* ap,
+                           lapack_complex_float* arf );
+lapack_int LAPACKE_ztpttf( int matrix_order, char transr, char uplo,
+                           lapack_int n, const lapack_complex_double* ap,
+                           lapack_complex_double* arf );
+
+lapack_int LAPACKE_stpttr( int matrix_order, char uplo, lapack_int n,
+                           const float* ap, float* a, lapack_int lda );
+lapack_int LAPACKE_dtpttr( int matrix_order, char uplo, lapack_int n,
+                           const double* ap, double* a, lapack_int lda );
+lapack_int LAPACKE_ctpttr( int matrix_order, char uplo, lapack_int n,
+                           const lapack_complex_float* ap,
+                           lapack_complex_float* a, lapack_int lda );
+lapack_int LAPACKE_ztpttr( int matrix_order, char uplo, lapack_int n,
+                           const lapack_complex_double* ap,
+                           lapack_complex_double* a, lapack_int lda );
+
+lapack_int LAPACKE_strcon( int matrix_order, char norm, char uplo, char diag,
+                           lapack_int n, const float* a, lapack_int lda,
+                           float* rcond );
+lapack_int LAPACKE_dtrcon( int matrix_order, char norm, char uplo, char diag,
+                           lapack_int n, const double* a, lapack_int lda,
+                           double* rcond );
+lapack_int LAPACKE_ctrcon( int matrix_order, char norm, char uplo, char diag,
+                           lapack_int n, const lapack_complex_float* a,
+                           lapack_int lda, float* rcond );
+lapack_int LAPACKE_ztrcon( int matrix_order, char norm, char uplo, char diag,
+                           lapack_int n, const lapack_complex_double* a,
+                           lapack_int lda, double* rcond );
+
+lapack_int LAPACKE_strevc( int matrix_order, char side, char howmny,
+                           lapack_logical* select, lapack_int n, const float* t,
+                           lapack_int ldt, float* vl, lapack_int ldvl,
+                           float* vr, lapack_int ldvr, lapack_int mm,
+                           lapack_int* m );
+lapack_int LAPACKE_dtrevc( int matrix_order, char side, char howmny,
+                           lapack_logical* select, lapack_int n,
+                           const double* t, lapack_int ldt, double* vl,
+                           lapack_int ldvl, double* vr, lapack_int ldvr,
+                           lapack_int mm, lapack_int* m );
+lapack_int LAPACKE_ctrevc( int matrix_order, char side, char howmny,
+                           const lapack_logical* select, lapack_int n,
+                           lapack_complex_float* t, lapack_int ldt,
+                           lapack_complex_float* vl, lapack_int ldvl,
+                           lapack_complex_float* vr, lapack_int ldvr,
+                           lapack_int mm, lapack_int* m );
+lapack_int LAPACKE_ztrevc( int matrix_order, char side, char howmny,
+                           const lapack_logical* select, lapack_int n,
+                           lapack_complex_double* t, lapack_int ldt,
+                           lapack_complex_double* vl, lapack_int ldvl,
+                           lapack_complex_double* vr, lapack_int ldvr,
+                           lapack_int mm, lapack_int* m );
+
+lapack_int LAPACKE_strexc( int matrix_order, char compq, lapack_int n, float* t,
+                           lapack_int ldt, float* q, lapack_int ldq,
+                           lapack_int* ifst, lapack_int* ilst );
+lapack_int LAPACKE_dtrexc( int matrix_order, char compq, lapack_int n,
+                           double* t, lapack_int ldt, double* q, lapack_int ldq,
+                           lapack_int* ifst, lapack_int* ilst );
+lapack_int LAPACKE_ctrexc( int matrix_order, char compq, lapack_int n,
+                           lapack_complex_float* t, lapack_int ldt,
+                           lapack_complex_float* q, lapack_int ldq,
+                           lapack_int ifst, lapack_int ilst );
+lapack_int LAPACKE_ztrexc( int matrix_order, char compq, lapack_int n,
+                           lapack_complex_double* t, lapack_int ldt,
+                           lapack_complex_double* q, lapack_int ldq,
+                           lapack_int ifst, lapack_int ilst );
+
+lapack_int LAPACKE_strrfs( int matrix_order, char uplo, char trans, char diag,
+                           lapack_int n, lapack_int nrhs, const float* a,
+                           lapack_int lda, const float* b, lapack_int ldb,
+                           const float* x, lapack_int ldx, float* ferr,
+                           float* berr );
+lapack_int LAPACKE_dtrrfs( int matrix_order, char uplo, char trans, char diag,
+                           lapack_int n, lapack_int nrhs, const double* a,
+                           lapack_int lda, const double* b, lapack_int ldb,
+                           const double* x, lapack_int ldx, double* ferr,
+                           double* berr );
+lapack_int LAPACKE_ctrrfs( int matrix_order, char uplo, char trans, char diag,
+                           lapack_int n, lapack_int nrhs,
+                           const lapack_complex_float* a, lapack_int lda,
+                           const lapack_complex_float* b, lapack_int ldb,
+                           const lapack_complex_float* x, lapack_int ldx,
+                           float* ferr, float* berr );
+lapack_int LAPACKE_ztrrfs( int matrix_order, char uplo, char trans, char diag,
+                           lapack_int n, lapack_int nrhs,
+                           const lapack_complex_double* a, lapack_int lda,
+                           const lapack_complex_double* b, lapack_int ldb,
+                           const lapack_complex_double* x, lapack_int ldx,
+                           double* ferr, double* berr );
+
+lapack_int LAPACKE_strsen( int matrix_order, char job, char compq,
+                           const lapack_logical* select, lapack_int n, float* t,
+                           lapack_int ldt, float* q, lapack_int ldq, float* wr,
+                           float* wi, lapack_int* m, float* s, float* sep );
+lapack_int LAPACKE_dtrsen( int matrix_order, char job, char compq,
+                           const lapack_logical* select, lapack_int n,
+                           double* t, lapack_int ldt, double* q, lapack_int ldq,
+                           double* wr, double* wi, lapack_int* m, double* s,
+                           double* sep );
+lapack_int LAPACKE_ctrsen( int matrix_order, char job, char compq,
+                           const lapack_logical* select, lapack_int n,
+                           lapack_complex_float* t, lapack_int ldt,
+                           lapack_complex_float* q, lapack_int ldq,
+                           lapack_complex_float* w, lapack_int* m, float* s,
+                           float* sep );
+lapack_int LAPACKE_ztrsen( int matrix_order, char job, char compq,
+                           const lapack_logical* select, lapack_int n,
+                           lapack_complex_double* t, lapack_int ldt,
+                           lapack_complex_double* q, lapack_int ldq,
+                           lapack_complex_double* w, lapack_int* m, double* s,
+                           double* sep );
+
+lapack_int LAPACKE_strsna( int matrix_order, char job, char howmny,
+                           const lapack_logical* select, lapack_int n,
+                           const float* t, lapack_int ldt, const float* vl,
+                           lapack_int ldvl, const float* vr, lapack_int ldvr,
+                           float* s, float* sep, lapack_int mm, lapack_int* m );
+lapack_int LAPACKE_dtrsna( int matrix_order, char job, char howmny,
+                           const lapack_logical* select, lapack_int n,
+                           const double* t, lapack_int ldt, const double* vl,
+                           lapack_int ldvl, const double* vr, lapack_int ldvr,
+                           double* s, double* sep, lapack_int mm,
+                           lapack_int* m );
+lapack_int LAPACKE_ctrsna( int matrix_order, char job, char howmny,
+                           const lapack_logical* select, lapack_int n,
+                           const lapack_complex_float* t, lapack_int ldt,
+                           const lapack_complex_float* vl, lapack_int ldvl,
+                           const lapack_complex_float* vr, lapack_int ldvr,
+                           float* s, float* sep, lapack_int mm, lapack_int* m );
+lapack_int LAPACKE_ztrsna( int matrix_order, char job, char howmny,
+                           const lapack_logical* select, lapack_int n,
+                           const lapack_complex_double* t, lapack_int ldt,
+                           const lapack_complex_double* vl, lapack_int ldvl,
+                           const lapack_complex_double* vr, lapack_int ldvr,
+                           double* s, double* sep, lapack_int mm,
+                           lapack_int* m );
+
+lapack_int LAPACKE_strsyl( int matrix_order, char trana, char tranb,
+                           lapack_int isgn, lapack_int m, lapack_int n,
+                           const float* a, lapack_int lda, const float* b,
+                           lapack_int ldb, float* c, lapack_int ldc,
+                           float* scale );
+lapack_int LAPACKE_dtrsyl( int matrix_order, char trana, char tranb,
+                           lapack_int isgn, lapack_int m, lapack_int n,
+                           const double* a, lapack_int lda, const double* b,
+                           lapack_int ldb, double* c, lapack_int ldc,
+                           double* scale );
+lapack_int LAPACKE_ctrsyl( int matrix_order, char trana, char tranb,
+                           lapack_int isgn, lapack_int m, lapack_int n,
+                           const lapack_complex_float* a, lapack_int lda,
+                           const lapack_complex_float* b, lapack_int ldb,
+                           lapack_complex_float* c, lapack_int ldc,
+                           float* scale );
+lapack_int LAPACKE_ztrsyl( int matrix_order, char trana, char tranb,
+                           lapack_int isgn, lapack_int m, lapack_int n,
+                           const lapack_complex_double* a, lapack_int lda,
+                           const lapack_complex_double* b, lapack_int ldb,
+                           lapack_complex_double* c, lapack_int ldc,
+                           double* scale );
+
+lapack_int LAPACKE_strtri( int matrix_order, char uplo, char diag, lapack_int n,
+                           float* a, lapack_int lda );
+lapack_int LAPACKE_dtrtri( int matrix_order, char uplo, char diag, lapack_int n,
+                           double* a, lapack_int lda );
+lapack_int LAPACKE_ctrtri( int matrix_order, char uplo, char diag, lapack_int n,
+                           lapack_complex_float* a, lapack_int lda );
+lapack_int LAPACKE_ztrtri( int matrix_order, char uplo, char diag, lapack_int n,
+                           lapack_complex_double* a, lapack_int lda );
+
+lapack_int LAPACKE_strtrs( int matrix_order, char uplo, char trans, char diag,
+                           lapack_int n, lapack_int nrhs, const float* a,
+                           lapack_int lda, float* b, lapack_int ldb );
+lapack_int LAPACKE_dtrtrs( int matrix_order, char uplo, char trans, char diag,
+                           lapack_int n, lapack_int nrhs, const double* a,
+                           lapack_int lda, double* b, lapack_int ldb );
+lapack_int LAPACKE_ctrtrs( int matrix_order, char uplo, char trans, char diag,
+                           lapack_int n, lapack_int nrhs,
+                           const lapack_complex_float* a, lapack_int lda,
+                           lapack_complex_float* b, lapack_int ldb );
+lapack_int LAPACKE_ztrtrs( int matrix_order, char uplo, char trans, char diag,
+                           lapack_int n, lapack_int nrhs,
+                           const lapack_complex_double* a, lapack_int lda,
+                           lapack_complex_double* b, lapack_int ldb );
+
+lapack_int LAPACKE_strttf( int matrix_order, char transr, char uplo,
+                           lapack_int n, const float* a, lapack_int lda,
+                           float* arf );
+lapack_int LAPACKE_dtrttf( int matrix_order, char transr, char uplo,
+                           lapack_int n, const double* a, lapack_int lda,
+                           double* arf );
+lapack_int LAPACKE_ctrttf( int matrix_order, char transr, char uplo,
+                           lapack_int n, const lapack_complex_float* a,
+                           lapack_int lda, lapack_complex_float* arf );
+lapack_int LAPACKE_ztrttf( int matrix_order, char transr, char uplo,
+                           lapack_int n, const lapack_complex_double* a,
+                           lapack_int lda, lapack_complex_double* arf );
+
+lapack_int LAPACKE_strttp( int matrix_order, char uplo, lapack_int n,
+                           const float* a, lapack_int lda, float* ap );
+lapack_int LAPACKE_dtrttp( int matrix_order, char uplo, lapack_int n,
+                           const double* a, lapack_int lda, double* ap );
+lapack_int LAPACKE_ctrttp( int matrix_order, char uplo, lapack_int n,
+                           const lapack_complex_float* a, lapack_int lda,
+                           lapack_complex_float* ap );
+lapack_int LAPACKE_ztrttp( int matrix_order, char uplo, lapack_int n,
+                           const lapack_complex_double* a, lapack_int lda,
+                           lapack_complex_double* ap );
+
+lapack_int LAPACKE_stzrzf( int matrix_order, lapack_int m, lapack_int n,
+                           float* a, lapack_int lda, float* tau );
+lapack_int LAPACKE_dtzrzf( int matrix_order, lapack_int m, lapack_int n,
+                           double* a, lapack_int lda, double* tau );
+lapack_int LAPACKE_ctzrzf( int matrix_order, lapack_int m, lapack_int n,
+                           lapack_complex_float* a, lapack_int lda,
+                           lapack_complex_float* tau );
+lapack_int LAPACKE_ztzrzf( int matrix_order, lapack_int m, lapack_int n,
+                           lapack_complex_double* a, lapack_int lda,
+                           lapack_complex_double* tau );
+
+lapack_int LAPACKE_cungbr( int matrix_order, char vect, lapack_int m,
+                           lapack_int n, lapack_int k, lapack_complex_float* a,
+                           lapack_int lda, const lapack_complex_float* tau );
+lapack_int LAPACKE_zungbr( int matrix_order, char vect, lapack_int m,
+                           lapack_int n, lapack_int k, lapack_complex_double* a,
+                           lapack_int lda, const lapack_complex_double* tau );
+
+lapack_int LAPACKE_cunghr( int matrix_order, lapack_int n, lapack_int ilo,
+                           lapack_int ihi, lapack_complex_float* a,
+                           lapack_int lda, const lapack_complex_float* tau );
+lapack_int LAPACKE_zunghr( int matrix_order, lapack_int n, lapack_int ilo,
+                           lapack_int ihi, lapack_complex_double* a,
+                           lapack_int lda, const lapack_complex_double* tau );
+
+lapack_int LAPACKE_cunglq( int matrix_order, lapack_int m, lapack_int n,
+                           lapack_int k, lapack_complex_float* a,
+                           lapack_int lda, const lapack_complex_float* tau );
+lapack_int LAPACKE_zunglq( int matrix_order, lapack_int m, lapack_int n,
+                           lapack_int k, lapack_complex_double* a,
+                           lapack_int lda, const lapack_complex_double* tau );
+
+lapack_int LAPACKE_cungql( int matrix_order, lapack_int m, lapack_int n,
+                           lapack_int k, lapack_complex_float* a,
+                           lapack_int lda, const lapack_complex_float* tau );
+lapack_int LAPACKE_zungql( int matrix_order, lapack_int m, lapack_int n,
+                           lapack_int k, lapack_complex_double* a,
+                           lapack_int lda, const lapack_complex_double* tau );
+
+lapack_int LAPACKE_cungqr( int matrix_order, lapack_int m, lapack_int n,
+                           lapack_int k, lapack_complex_float* a,
+                           lapack_int lda, const lapack_complex_float* tau );
+lapack_int LAPACKE_zungqr( int matrix_order, lapack_int m, lapack_int n,
+                           lapack_int k, lapack_complex_double* a,
+                           lapack_int lda, const lapack_complex_double* tau );
+
+lapack_int LAPACKE_cungrq( int matrix_order, lapack_int m, lapack_int n,
+                           lapack_int k, lapack_complex_float* a,
+                           lapack_int lda, const lapack_complex_float* tau );
+lapack_int LAPACKE_zungrq( int matrix_order, lapack_int m, lapack_int n,
+                           lapack_int k, lapack_complex_double* a,
+                           lapack_int lda, const lapack_complex_double* tau );
+
+lapack_int LAPACKE_cungtr( int matrix_order, char uplo, lapack_int n,
+                           lapack_complex_float* a, lapack_int lda,
+                           const lapack_complex_float* tau );
+lapack_int LAPACKE_zungtr( int matrix_order, char uplo, lapack_int n,
+                           lapack_complex_double* a, lapack_int lda,
+                           const lapack_complex_double* tau );
+
+lapack_int LAPACKE_cunmbr( int matrix_order, char vect, char side, char trans,
+                           lapack_int m, lapack_int n, lapack_int k,
+                           const lapack_complex_float* a, lapack_int lda,
+                           const lapack_complex_float* tau,
+                           lapack_complex_float* c, lapack_int ldc );
+lapack_int LAPACKE_zunmbr( int matrix_order, char vect, char side, char trans,
+                           lapack_int m, lapack_int n, lapack_int k,
+                           const lapack_complex_double* a, lapack_int lda,
+                           const lapack_complex_double* tau,
+                           lapack_complex_double* c, lapack_int ldc );
+
+lapack_int LAPACKE_cunmhr( int matrix_order, char side, char trans,
+                           lapack_int m, lapack_int n, lapack_int ilo,
+                           lapack_int ihi, const lapack_complex_float* a,
+                           lapack_int lda, const lapack_complex_float* tau,
+                           lapack_complex_float* c, lapack_int ldc );
+lapack_int LAPACKE_zunmhr( int matrix_order, char side, char trans,
+                           lapack_int m, lapack_int n, lapack_int ilo,
+                           lapack_int ihi, const lapack_complex_double* a,
+                           lapack_int lda, const lapack_complex_double* tau,
+                           lapack_complex_double* c, lapack_int ldc );
+
+lapack_int LAPACKE_cunmlq( int matrix_order, char side, char trans,
+                           lapack_int m, lapack_int n, lapack_int k,
+                           const lapack_complex_float* a, lapack_int lda,
+                           const lapack_complex_float* tau,
+                           lapack_complex_float* c, lapack_int ldc );
+lapack_int LAPACKE_zunmlq( int matrix_order, char side, char trans,
+                           lapack_int m, lapack_int n, lapack_int k,
+                           const lapack_complex_double* a, lapack_int lda,
+                           const lapack_complex_double* tau,
+                           lapack_complex_double* c, lapack_int ldc );
+
+lapack_int LAPACKE_cunmql( int matrix_order, char side, char trans,
+                           lapack_int m, lapack_int n, lapack_int k,
+                           const lapack_complex_float* a, lapack_int lda,
+                           const lapack_complex_float* tau,
+                           lapack_complex_float* c, lapack_int ldc );
+lapack_int LAPACKE_zunmql( int matrix_order, char side, char trans,
+                           lapack_int m, lapack_int n, lapack_int k,
+                           const lapack_complex_double* a, lapack_int lda,
+                           const lapack_complex_double* tau,
+                           lapack_complex_double* c, lapack_int ldc );
+
+lapack_int LAPACKE_cunmqr( int matrix_order, char side, char trans,
+                           lapack_int m, lapack_int n, lapack_int k,
+                           const lapack_complex_float* a, lapack_int lda,
+                           const lapack_complex_float* tau,
+                           lapack_complex_float* c, lapack_int ldc );
+lapack_int LAPACKE_zunmqr( int matrix_order, char side, char trans,
+                           lapack_int m, lapack_int n, lapack_int k,
+                           const lapack_complex_double* a, lapack_int lda,
+                           const lapack_complex_double* tau,
+                           lapack_complex_double* c, lapack_int ldc );
+
+lapack_int LAPACKE_cunmrq( int matrix_order, char side, char trans,
+                           lapack_int m, lapack_int n, lapack_int k,
+                           const lapack_complex_float* a, lapack_int lda,
+                           const lapack_complex_float* tau,
+                           lapack_complex_float* c, lapack_int ldc );
+lapack_int LAPACKE_zunmrq( int matrix_order, char side, char trans,
+                           lapack_int m, lapack_int n, lapack_int k,
+                           const lapack_complex_double* a, lapack_int lda,
+                           const lapack_complex_double* tau,
+                           lapack_complex_double* c, lapack_int ldc );
+
+lapack_int LAPACKE_cunmrz( int matrix_order, char side, char trans,
+                           lapack_int m, lapack_int n, lapack_int k,
+                           lapack_int l, const lapack_complex_float* a,
+                           lapack_int lda, const lapack_complex_float* tau,
+                           lapack_complex_float* c, lapack_int ldc );
+lapack_int LAPACKE_zunmrz( int matrix_order, char side, char trans,
+                           lapack_int m, lapack_int n, lapack_int k,
+                           lapack_int l, const lapack_complex_double* a,
+                           lapack_int lda, const lapack_complex_double* tau,
+                           lapack_complex_double* c, lapack_int ldc );
+
+lapack_int LAPACKE_cunmtr( int matrix_order, char side, char uplo, char trans,
+                           lapack_int m, lapack_int n,
+                           const lapack_complex_float* a, lapack_int lda,
+                           const lapack_complex_float* tau,
+                           lapack_complex_float* c, lapack_int ldc );
+lapack_int LAPACKE_zunmtr( int matrix_order, char side, char uplo, char trans,
+                           lapack_int m, lapack_int n,
+                           const lapack_complex_double* a, lapack_int lda,
+                           const lapack_complex_double* tau,
+                           lapack_complex_double* c, lapack_int ldc );
+
+lapack_int LAPACKE_cupgtr( int matrix_order, char uplo, lapack_int n,
+                           const lapack_complex_float* ap,
+                           const lapack_complex_float* tau,
+                           lapack_complex_float* q, lapack_int ldq );
+lapack_int LAPACKE_zupgtr( int matrix_order, char uplo, lapack_int n,
+                           const lapack_complex_double* ap,
+                           const lapack_complex_double* tau,
+                           lapack_complex_double* q, lapack_int ldq );
+
+lapack_int LAPACKE_cupmtr( int matrix_order, char side, char uplo, char trans,
+                           lapack_int m, lapack_int n,
+                           const lapack_complex_float* ap,
+                           const lapack_complex_float* tau,
+                           lapack_complex_float* c, lapack_int ldc );
+lapack_int LAPACKE_zupmtr( int matrix_order, char side, char uplo, char trans,
+                           lapack_int m, lapack_int n,
+                           const lapack_complex_double* ap,
+                           const lapack_complex_double* tau,
+                           lapack_complex_double* c, lapack_int ldc );
+
+lapack_int LAPACKE_sbdsdc_work( int matrix_order, char uplo, char compq,
+                                lapack_int n, float* d, float* e, float* u,
+                                lapack_int ldu, float* vt, lapack_int ldvt,
+                                float* q, lapack_int* iq, float* work,
+                                lapack_int* iwork );
+lapack_int LAPACKE_dbdsdc_work( int matrix_order, char uplo, char compq,
+                                lapack_int n, double* d, double* e, double* u,
+                                lapack_int ldu, double* vt, lapack_int ldvt,
+                                double* q, lapack_int* iq, double* work,
+                                lapack_int* iwork );
+
+lapack_int LAPACKE_sbdsqr_work( int matrix_order, char uplo, lapack_int n,
+                                lapack_int ncvt, lapack_int nru, lapack_int ncc,
+                                float* d, float* e, float* vt, lapack_int ldvt,
+                                float* u, lapack_int ldu, float* c,
+                                lapack_int ldc, float* work );
+lapack_int LAPACKE_dbdsqr_work( int matrix_order, char uplo, lapack_int n,
+                                lapack_int ncvt, lapack_int nru, lapack_int ncc,
+                                double* d, double* e, double* vt,
+                                lapack_int ldvt, double* u, lapack_int ldu,
+                                double* c, lapack_int ldc, double* work );
+lapack_int LAPACKE_cbdsqr_work( int matrix_order, char uplo, lapack_int n,
+                                lapack_int ncvt, lapack_int nru, lapack_int ncc,
+                                float* d, float* e, lapack_complex_float* vt,
+                                lapack_int ldvt, lapack_complex_float* u,
+                                lapack_int ldu, lapack_complex_float* c,
+                                lapack_int ldc, float* work );
+lapack_int LAPACKE_zbdsqr_work( int matrix_order, char uplo, lapack_int n,
+                                lapack_int ncvt, lapack_int nru, lapack_int ncc,
+                                double* d, double* e, lapack_complex_double* vt,
+                                lapack_int ldvt, lapack_complex_double* u,
+                                lapack_int ldu, lapack_complex_double* c,
+                                lapack_int ldc, double* work );
+
+lapack_int LAPACKE_sdisna_work( char job, lapack_int m, lapack_int n,
+                                const float* d, float* sep );
+lapack_int LAPACKE_ddisna_work( char job, lapack_int m, lapack_int n,
+                                const double* d, double* sep );
+
+lapack_int LAPACKE_sgbbrd_work( int matrix_order, char vect, lapack_int m,
+                                lapack_int n, lapack_int ncc, lapack_int kl,
+                                lapack_int ku, float* ab, lapack_int ldab,
+                                float* d, float* e, float* q, lapack_int ldq,
+                                float* pt, lapack_int ldpt, float* c,
+                                lapack_int ldc, float* work );
+lapack_int LAPACKE_dgbbrd_work( int matrix_order, char vect, lapack_int m,
+                                lapack_int n, lapack_int ncc, lapack_int kl,
+                                lapack_int ku, double* ab, lapack_int ldab,
+                                double* d, double* e, double* q, lapack_int ldq,
+                                double* pt, lapack_int ldpt, double* c,
+                                lapack_int ldc, double* work );
+lapack_int LAPACKE_cgbbrd_work( int matrix_order, char vect, lapack_int m,
+                                lapack_int n, lapack_int ncc, lapack_int kl,
+                                lapack_int ku, lapack_complex_float* ab,
+                                lapack_int ldab, float* d, float* e,
+                                lapack_complex_float* q, lapack_int ldq,
+                                lapack_complex_float* pt, lapack_int ldpt,
+                                lapack_complex_float* c, lapack_int ldc,
+                                lapack_complex_float* work, float* rwork );
+lapack_int LAPACKE_zgbbrd_work( int matrix_order, char vect, lapack_int m,
+                                lapack_int n, lapack_int ncc, lapack_int kl,
+                                lapack_int ku, lapack_complex_double* ab,
+                                lapack_int ldab, double* d, double* e,
+                                lapack_complex_double* q, lapack_int ldq,
+                                lapack_complex_double* pt, lapack_int ldpt,
+                                lapack_complex_double* c, lapack_int ldc,
+                                lapack_complex_double* work, double* rwork );
+
+lapack_int LAPACKE_sgbcon_work( int matrix_order, char norm, lapack_int n,
+                                lapack_int kl, lapack_int ku, const float* ab,
+                                lapack_int ldab, const lapack_int* ipiv,
+                                float anorm, float* rcond, float* work,
+                                lapack_int* iwork );
+lapack_int LAPACKE_dgbcon_work( int matrix_order, char norm, lapack_int n,
+                                lapack_int kl, lapack_int ku, const double* ab,
+                                lapack_int ldab, const lapack_int* ipiv,
+                                double anorm, double* rcond, double* work,
+                                lapack_int* iwork );
+lapack_int LAPACKE_cgbcon_work( int matrix_order, char norm, lapack_int n,
+                                lapack_int kl, lapack_int ku,
+                                const lapack_complex_float* ab, lapack_int ldab,
+                                const lapack_int* ipiv, float anorm,
+                                float* rcond, lapack_complex_float* work,
+                                float* rwork );
+lapack_int LAPACKE_zgbcon_work( int matrix_order, char norm, lapack_int n,
+                                lapack_int kl, lapack_int ku,
+                                const lapack_complex_double* ab,
+                                lapack_int ldab, const lapack_int* ipiv,
+                                double anorm, double* rcond,
+                                lapack_complex_double* work, double* rwork );
+
+lapack_int LAPACKE_sgbequ_work( int matrix_order, lapack_int m, lapack_int n,
+                                lapack_int kl, lapack_int ku, const float* ab,
+                                lapack_int ldab, float* r, float* c,
+                                float* rowcnd, float* colcnd, float* amax );
+lapack_int LAPACKE_dgbequ_work( int matrix_order, lapack_int m, lapack_int n,
+                                lapack_int kl, lapack_int ku, const double* ab,
+                                lapack_int ldab, double* r, double* c,
+                                double* rowcnd, double* colcnd, double* amax );
+lapack_int LAPACKE_cgbequ_work( int matrix_order, lapack_int m, lapack_int n,
+                                lapack_int kl, lapack_int ku,
+                                const lapack_complex_float* ab, lapack_int ldab,
+                                float* r, float* c, float* rowcnd,
+                                float* colcnd, float* amax );
+lapack_int LAPACKE_zgbequ_work( int matrix_order, lapack_int m, lapack_int n,
+                                lapack_int kl, lapack_int ku,
+                                const lapack_complex_double* ab,
+                                lapack_int ldab, double* r, double* c,
+                                double* rowcnd, double* colcnd, double* amax );
+
+lapack_int LAPACKE_sgbequb_work( int matrix_order, lapack_int m, lapack_int n,
+                                 lapack_int kl, lapack_int ku, const float* ab,
+                                 lapack_int ldab, float* r, float* c,
+                                 float* rowcnd, float* colcnd, float* amax );
+lapack_int LAPACKE_dgbequb_work( int matrix_order, lapack_int m, lapack_int n,
+                                 lapack_int kl, lapack_int ku, const double* ab,
+                                 lapack_int ldab, double* r, double* c,
+                                 double* rowcnd, double* colcnd, double* amax );
+lapack_int LAPACKE_cgbequb_work( int matrix_order, lapack_int m, lapack_int n,
+                                 lapack_int kl, lapack_int ku,
+                                 const lapack_complex_float* ab,
+                                 lapack_int ldab, float* r, float* c,
+                                 float* rowcnd, float* colcnd, float* amax );
+lapack_int LAPACKE_zgbequb_work( int matrix_order, lapack_int m, lapack_int n,
+                                 lapack_int kl, lapack_int ku,
+                                 const lapack_complex_double* ab,
+                                 lapack_int ldab, double* r, double* c,
+                                 double* rowcnd, double* colcnd, double* amax );
+
+lapack_int LAPACKE_sgbrfs_work( int matrix_order, char trans, lapack_int n,
+                                lapack_int kl, lapack_int ku, lapack_int nrhs,
+                                const float* ab, lapack_int ldab,
+                                const float* afb, lapack_int ldafb,
+                                const lapack_int* ipiv, const float* b,
+                                lapack_int ldb, float* x, lapack_int ldx,
+                                float* ferr, float* berr, float* work,
+                                lapack_int* iwork );
+lapack_int LAPACKE_dgbrfs_work( int matrix_order, char trans, lapack_int n,
+                                lapack_int kl, lapack_int ku, lapack_int nrhs,
+                                const double* ab, lapack_int ldab,
+                                const double* afb, lapack_int ldafb,
+                                const lapack_int* ipiv, const double* b,
+                                lapack_int ldb, double* x, lapack_int ldx,
+                                double* ferr, double* berr, double* work,
+                                lapack_int* iwork );
+lapack_int LAPACKE_cgbrfs_work( int matrix_order, char trans, lapack_int n,
+                                lapack_int kl, lapack_int ku, lapack_int nrhs,
+                                const lapack_complex_float* ab, lapack_int ldab,
+                                const lapack_complex_float* afb,
+                                lapack_int ldafb, const lapack_int* ipiv,
+                                const lapack_complex_float* b, lapack_int ldb,
+                                lapack_complex_float* x, lapack_int ldx,
+                                float* ferr, float* berr,
+                                lapack_complex_float* work, float* rwork );
+lapack_int LAPACKE_zgbrfs_work( int matrix_order, char trans, lapack_int n,
+                                lapack_int kl, lapack_int ku, lapack_int nrhs,
+                                const lapack_complex_double* ab,
+                                lapack_int ldab,
+                                const lapack_complex_double* afb,
+                                lapack_int ldafb, const lapack_int* ipiv,
+                                const lapack_complex_double* b, lapack_int ldb,
+                                lapack_complex_double* x, lapack_int ldx,
+                                double* ferr, double* berr,
+                                lapack_complex_double* work, double* rwork );
+
+lapack_int LAPACKE_sgbrfsx_work( int matrix_order, char trans, char equed,
+                                 lapack_int n, lapack_int kl, lapack_int ku,
+                                 lapack_int nrhs, const float* ab,
+                                 lapack_int ldab, const float* afb,
+                                 lapack_int ldafb, const lapack_int* ipiv,
+                                 const float* r, const float* c, const float* b,
+                                 lapack_int ldb, float* x, lapack_int ldx,
+                                 float* rcond, float* berr,
+                                 lapack_int n_err_bnds, float* err_bnds_norm,
+                                 float* err_bnds_comp, lapack_int nparams,
+                                 float* params, float* work,
+                                 lapack_int* iwork );
+lapack_int LAPACKE_dgbrfsx_work( int matrix_order, char trans, char equed,
+                                 lapack_int n, lapack_int kl, lapack_int ku,
+                                 lapack_int nrhs, const double* ab,
+                                 lapack_int ldab, const double* afb,
+                                 lapack_int ldafb, const lapack_int* ipiv,
+                                 const double* r, const double* c,
+                                 const double* b, lapack_int ldb, double* x,
+                                 lapack_int ldx, double* rcond, double* berr,
+                                 lapack_int n_err_bnds, double* err_bnds_norm,
+                                 double* err_bnds_comp, lapack_int nparams,
+                                 double* params, double* work,
+                                 lapack_int* iwork );
+lapack_int LAPACKE_cgbrfsx_work( int matrix_order, char trans, char equed,
+                                 lapack_int n, lapack_int kl, lapack_int ku,
+                                 lapack_int nrhs,
+                                 const lapack_complex_float* ab,
+                                 lapack_int ldab,
+                                 const lapack_complex_float* afb,
+                                 lapack_int ldafb, const lapack_int* ipiv,
+                                 const float* r, const float* c,
+                                 const lapack_complex_float* b, lapack_int ldb,
+                                 lapack_complex_float* x, lapack_int ldx,
+                                 float* rcond, float* berr,
+                                 lapack_int n_err_bnds, float* err_bnds_norm,
+                                 float* err_bnds_comp, lapack_int nparams,
+                                 float* params, lapack_complex_float* work,
+                                 float* rwork );
+lapack_int LAPACKE_zgbrfsx_work( int matrix_order, char trans, char equed,
+                                 lapack_int n, lapack_int kl, lapack_int ku,
+                                 lapack_int nrhs,
+                                 const lapack_complex_double* ab,
+                                 lapack_int ldab,
+                                 const lapack_complex_double* afb,
+                                 lapack_int ldafb, const lapack_int* ipiv,
+                                 const double* r, const double* c,
+                                 const lapack_complex_double* b, lapack_int ldb,
+                                 lapack_complex_double* x, lapack_int ldx,
+                                 double* rcond, double* berr,
+                                 lapack_int n_err_bnds, double* err_bnds_norm,
+                                 double* err_bnds_comp, lapack_int nparams,
+                                 double* params, lapack_complex_double* work,
+                                 double* rwork );
+
+lapack_int LAPACKE_sgbsv_work( int matrix_order, lapack_int n, lapack_int kl,
+                               lapack_int ku, lapack_int nrhs, float* ab,
+                               lapack_int ldab, lapack_int* ipiv, float* b,
+                               lapack_int ldb );
+lapack_int LAPACKE_dgbsv_work( int matrix_order, lapack_int n, lapack_int kl,
+                               lapack_int ku, lapack_int nrhs, double* ab,
+                               lapack_int ldab, lapack_int* ipiv, double* b,
+                               lapack_int ldb );
+lapack_int LAPACKE_cgbsv_work( int matrix_order, lapack_int n, lapack_int kl,
+                               lapack_int ku, lapack_int nrhs,
+                               lapack_complex_float* ab, lapack_int ldab,
+                               lapack_int* ipiv, lapack_complex_float* b,
+                               lapack_int ldb );
+lapack_int LAPACKE_zgbsv_work( int matrix_order, lapack_int n, lapack_int kl,
+                               lapack_int ku, lapack_int nrhs,
+                               lapack_complex_double* ab, lapack_int ldab,
+                               lapack_int* ipiv, lapack_complex_double* b,
+                               lapack_int ldb );
+
+lapack_int LAPACKE_sgbsvx_work( int matrix_order, char fact, char trans,
+                                lapack_int n, lapack_int kl, lapack_int ku,
+                                lapack_int nrhs, float* ab, lapack_int ldab,
+                                float* afb, lapack_int ldafb, lapack_int* ipiv,
+                                char* equed, float* r, float* c, float* b,
+                                lapack_int ldb, float* x, lapack_int ldx,
+                                float* rcond, float* ferr, float* berr,
+                                float* work, lapack_int* iwork );
+lapack_int LAPACKE_dgbsvx_work( int matrix_order, char fact, char trans,
+                                lapack_int n, lapack_int kl, lapack_int ku,
+                                lapack_int nrhs, double* ab, lapack_int ldab,
+                                double* afb, lapack_int ldafb, lapack_int* ipiv,
+                                char* equed, double* r, double* c, double* b,
+                                lapack_int ldb, double* x, lapack_int ldx,
+                                double* rcond, double* ferr, double* berr,
+                                double* work, lapack_int* iwork );
+lapack_int LAPACKE_cgbsvx_work( int matrix_order, char fact, char trans,
+                                lapack_int n, lapack_int kl, lapack_int ku,
+                                lapack_int nrhs, lapack_complex_float* ab,
+                                lapack_int ldab, lapack_complex_float* afb,
+                                lapack_int ldafb, lapack_int* ipiv, char* equed,
+                                float* r, float* c, lapack_complex_float* b,
+                                lapack_int ldb, lapack_complex_float* x,
+                                lapack_int ldx, float* rcond, float* ferr,
+                                float* berr, lapack_complex_float* work,
+                                float* rwork );
+lapack_int LAPACKE_zgbsvx_work( int matrix_order, char fact, char trans,
+                                lapack_int n, lapack_int kl, lapack_int ku,
+                                lapack_int nrhs, lapack_complex_double* ab,
+                                lapack_int ldab, lapack_complex_double* afb,
+                                lapack_int ldafb, lapack_int* ipiv, char* equed,
+                                double* r, double* c, lapack_complex_double* b,
+                                lapack_int ldb, lapack_complex_double* x,
+                                lapack_int ldx, double* rcond, double* ferr,
+                                double* berr, lapack_complex_double* work,
+                                double* rwork );
+
+lapack_int LAPACKE_sgbsvxx_work( int matrix_order, char fact, char trans,
+                                 lapack_int n, lapack_int kl, lapack_int ku,
+                                 lapack_int nrhs, float* ab, lapack_int ldab,
+                                 float* afb, lapack_int ldafb, lapack_int* ipiv,
+                                 char* equed, float* r, float* c, float* b,
+                                 lapack_int ldb, float* x, lapack_int ldx,
+                                 float* rcond, float* rpvgrw, float* berr,
+                                 lapack_int n_err_bnds, float* err_bnds_norm,
+                                 float* err_bnds_comp, lapack_int nparams,
+                                 float* params, float* work,
+                                 lapack_int* iwork );
+lapack_int LAPACKE_dgbsvxx_work( int matrix_order, char fact, char trans,
+                                 lapack_int n, lapack_int kl, lapack_int ku,
+                                 lapack_int nrhs, double* ab, lapack_int ldab,
+                                 double* afb, lapack_int ldafb,
+                                 lapack_int* ipiv, char* equed, double* r,
+                                 double* c, double* b, lapack_int ldb,
+                                 double* x, lapack_int ldx, double* rcond,
+                                 double* rpvgrw, double* berr,
+                                 lapack_int n_err_bnds, double* err_bnds_norm,
+                                 double* err_bnds_comp, lapack_int nparams,
+                                 double* params, double* work,
+                                 lapack_int* iwork );
+lapack_int LAPACKE_cgbsvxx_work( int matrix_order, char fact, char trans,
+                                 lapack_int n, lapack_int kl, lapack_int ku,
+                                 lapack_int nrhs, lapack_complex_float* ab,
+                                 lapack_int ldab, lapack_complex_float* afb,
+                                 lapack_int ldafb, lapack_int* ipiv,
+                                 char* equed, float* r, float* c,
+                                 lapack_complex_float* b, lapack_int ldb,
+                                 lapack_complex_float* x, lapack_int ldx,
+                                 float* rcond, float* rpvgrw, float* berr,
+                                 lapack_int n_err_bnds, float* err_bnds_norm,
+                                 float* err_bnds_comp, lapack_int nparams,
+                                 float* params, lapack_complex_float* work,
+                                 float* rwork );
+lapack_int LAPACKE_zgbsvxx_work( int matrix_order, char fact, char trans,
+                                 lapack_int n, lapack_int kl, lapack_int ku,
+                                 lapack_int nrhs, lapack_complex_double* ab,
+                                 lapack_int ldab, lapack_complex_double* afb,
+                                 lapack_int ldafb, lapack_int* ipiv,
+                                 char* equed, double* r, double* c,
+                                 lapack_complex_double* b, lapack_int ldb,
+                                 lapack_complex_double* x, lapack_int ldx,
+                                 double* rcond, double* rpvgrw, double* berr,
+                                 lapack_int n_err_bnds, double* err_bnds_norm,
+                                 double* err_bnds_comp, lapack_int nparams,
+                                 double* params, lapack_complex_double* work,
+                                 double* rwork );
+
+lapack_int LAPACKE_sgbtrf_work( int matrix_order, lapack_int m, lapack_int n,
+                                lapack_int kl, lapack_int ku, float* ab,
+                                lapack_int ldab, lapack_int* ipiv );
+lapack_int LAPACKE_dgbtrf_work( int matrix_order, lapack_int m, lapack_int n,
+                                lapack_int kl, lapack_int ku, double* ab,
+                                lapack_int ldab, lapack_int* ipiv );
+lapack_int LAPACKE_cgbtrf_work( int matrix_order, lapack_int m, lapack_int n,
+                                lapack_int kl, lapack_int ku,
+                                lapack_complex_float* ab, lapack_int ldab,
+                                lapack_int* ipiv );
+lapack_int LAPACKE_zgbtrf_work( int matrix_order, lapack_int m, lapack_int n,
+                                lapack_int kl, lapack_int ku,
+                                lapack_complex_double* ab, lapack_int ldab,
+                                lapack_int* ipiv );
+
+lapack_int LAPACKE_sgbtrs_work( int matrix_order, char trans, lapack_int n,
+                                lapack_int kl, lapack_int ku, lapack_int nrhs,
+                                const float* ab, lapack_int ldab,
+                                const lapack_int* ipiv, float* b,
+                                lapack_int ldb );
+lapack_int LAPACKE_dgbtrs_work( int matrix_order, char trans, lapack_int n,
+                                lapack_int kl, lapack_int ku, lapack_int nrhs,
+                                const double* ab, lapack_int ldab,
+                                const lapack_int* ipiv, double* b,
+                                lapack_int ldb );
+lapack_int LAPACKE_cgbtrs_work( int matrix_order, char trans, lapack_int n,
+                                lapack_int kl, lapack_int ku, lapack_int nrhs,
+                                const lapack_complex_float* ab, lapack_int ldab,
+                                const lapack_int* ipiv, lapack_complex_float* b,
+                                lapack_int ldb );
+lapack_int LAPACKE_zgbtrs_work( int matrix_order, char trans, lapack_int n,
+                                lapack_int kl, lapack_int ku, lapack_int nrhs,
+                                const lapack_complex_double* ab,
+                                lapack_int ldab, const lapack_int* ipiv,
+                                lapack_complex_double* b, lapack_int ldb );
+
+lapack_int LAPACKE_sgebak_work( int matrix_order, char job, char side,
+                                lapack_int n, lapack_int ilo, lapack_int ihi,
+                                const float* scale, lapack_int m, float* v,
+                                lapack_int ldv );
+lapack_int LAPACKE_dgebak_work( int matrix_order, char job, char side,
+                                lapack_int n, lapack_int ilo, lapack_int ihi,
+                                const double* scale, lapack_int m, double* v,
+                                lapack_int ldv );
+lapack_int LAPACKE_cgebak_work( int matrix_order, char job, char side,
+                                lapack_int n, lapack_int ilo, lapack_int ihi,
+                                const float* scale, lapack_int m,
+                                lapack_complex_float* v, lapack_int ldv );
+lapack_int LAPACKE_zgebak_work( int matrix_order, char job, char side,
+                                lapack_int n, lapack_int ilo, lapack_int ihi,
+                                const double* scale, lapack_int m,
+                                lapack_complex_double* v, lapack_int ldv );
+
+lapack_int LAPACKE_sgebal_work( int matrix_order, char job, lapack_int n,
+                                float* a, lapack_int lda, lapack_int* ilo,
+                                lapack_int* ihi, float* scale );
+lapack_int LAPACKE_dgebal_work( int matrix_order, char job, lapack_int n,
+                                double* a, lapack_int lda, lapack_int* ilo,
+                                lapack_int* ihi, double* scale );
+lapack_int LAPACKE_cgebal_work( int matrix_order, char job, lapack_int n,
+                                lapack_complex_float* a, lapack_int lda,
+                                lapack_int* ilo, lapack_int* ihi,
+                                float* scale );
+lapack_int LAPACKE_zgebal_work( int matrix_order, char job, lapack_int n,
+                                lapack_complex_double* a, lapack_int lda,
+                                lapack_int* ilo, lapack_int* ihi,
+                                double* scale );
+
+lapack_int LAPACKE_sgebrd_work( int matrix_order, lapack_int m, lapack_int n,
+                                float* a, lapack_int lda, float* d, float* e,
+                                float* tauq, float* taup, float* work,
+                                lapack_int lwork );
+lapack_int LAPACKE_dgebrd_work( int matrix_order, lapack_int m, lapack_int n,
+                                double* a, lapack_int lda, double* d, double* e,
+                                double* tauq, double* taup, double* work,
+                                lapack_int lwork );
+lapack_int LAPACKE_cgebrd_work( int matrix_order, lapack_int m, lapack_int n,
+                                lapack_complex_float* a, lapack_int lda,
+                                float* d, float* e, lapack_complex_float* tauq,
+                                lapack_complex_float* taup,
+                                lapack_complex_float* work, lapack_int lwork );
+lapack_int LAPACKE_zgebrd_work( int matrix_order, lapack_int m, lapack_int n,
+                                lapack_complex_double* a, lapack_int lda,
+                                double* d, double* e,
+                                lapack_complex_double* tauq,
+                                lapack_complex_double* taup,
+                                lapack_complex_double* work, lapack_int lwork );
+
+lapack_int LAPACKE_sgecon_work( int matrix_order, char norm, lapack_int n,
+                                const float* a, lapack_int lda, float anorm,
+                                float* rcond, float* work, lapack_int* iwork );
+lapack_int LAPACKE_dgecon_work( int matrix_order, char norm, lapack_int n,
+                                const double* a, lapack_int lda, double anorm,
+                                double* rcond, double* work,
+                                lapack_int* iwork );
+lapack_int LAPACKE_cgecon_work( int matrix_order, char norm, lapack_int n,
+                                const lapack_complex_float* a, lapack_int lda,
+                                float anorm, float* rcond,
+                                lapack_complex_float* work, float* rwork );
+lapack_int LAPACKE_zgecon_work( int matrix_order, char norm, lapack_int n,
+                                const lapack_complex_double* a, lapack_int lda,
+                                double anorm, double* rcond,
+                                lapack_complex_double* work, double* rwork );
+
+lapack_int LAPACKE_sgeequ_work( int matrix_order, lapack_int m, lapack_int n,
+                                const float* a, lapack_int lda, float* r,
+                                float* c, float* rowcnd, float* colcnd,
+                                float* amax );
+lapack_int LAPACKE_dgeequ_work( int matrix_order, lapack_int m, lapack_int n,
+                                const double* a, lapack_int lda, double* r,
+                                double* c, double* rowcnd, double* colcnd,
+                                double* amax );
+lapack_int LAPACKE_cgeequ_work( int matrix_order, lapack_int m, lapack_int n,
+                                const lapack_complex_float* a, lapack_int lda,
+                                float* r, float* c, float* rowcnd,
+                                float* colcnd, float* amax );
+lapack_int LAPACKE_zgeequ_work( int matrix_order, lapack_int m, lapack_int n,
+                                const lapack_complex_double* a, lapack_int lda,
+                                double* r, double* c, double* rowcnd,
+                                double* colcnd, double* amax );
+
+lapack_int LAPACKE_sgeequb_work( int matrix_order, lapack_int m, lapack_int n,
+                                 const float* a, lapack_int lda, float* r,
+                                 float* c, float* rowcnd, float* colcnd,
+                                 float* amax );
+lapack_int LAPACKE_dgeequb_work( int matrix_order, lapack_int m, lapack_int n,
+                                 const double* a, lapack_int lda, double* r,
+                                 double* c, double* rowcnd, double* colcnd,
+                                 double* amax );
+lapack_int LAPACKE_cgeequb_work( int matrix_order, lapack_int m, lapack_int n,
+                                 const lapack_complex_float* a, lapack_int lda,
+                                 float* r, float* c, float* rowcnd,
+                                 float* colcnd, float* amax );
+lapack_int LAPACKE_zgeequb_work( int matrix_order, lapack_int m, lapack_int n,
+                                 const lapack_complex_double* a, lapack_int lda,
+                                 double* r, double* c, double* rowcnd,
+                                 double* colcnd, double* amax );
+
+lapack_int LAPACKE_sgees_work( int matrix_order, char jobvs, char sort,
+                               LAPACK_S_SELECT2 select, lapack_int n, float* a,
+                               lapack_int lda, lapack_int* sdim, float* wr,
+                               float* wi, float* vs, lapack_int ldvs,
+                               float* work, lapack_int lwork,
+                               lapack_logical* bwork );
+lapack_int LAPACKE_dgees_work( int matrix_order, char jobvs, char sort,
+                               LAPACK_D_SELECT2 select, lapack_int n, double* a,
+                               lapack_int lda, lapack_int* sdim, double* wr,
+                               double* wi, double* vs, lapack_int ldvs,
+                               double* work, lapack_int lwork,
+                               lapack_logical* bwork );
+lapack_int LAPACKE_cgees_work( int matrix_order, char jobvs, char sort,
+                               LAPACK_C_SELECT1 select, lapack_int n,
+                               lapack_complex_float* a, lapack_int lda,
+                               lapack_int* sdim, lapack_complex_float* w,
+                               lapack_complex_float* vs, lapack_int ldvs,
+                               lapack_complex_float* work, lapack_int lwork,
+                               float* rwork, lapack_logical* bwork );
+lapack_int LAPACKE_zgees_work( int matrix_order, char jobvs, char sort,
+                               LAPACK_Z_SELECT1 select, lapack_int n,
+                               lapack_complex_double* a, lapack_int lda,
+                               lapack_int* sdim, lapack_complex_double* w,
+                               lapack_complex_double* vs, lapack_int ldvs,
+                               lapack_complex_double* work, lapack_int lwork,
+                               double* rwork, lapack_logical* bwork );
+
+lapack_int LAPACKE_sgeesx_work( int matrix_order, char jobvs, char sort,
+                                LAPACK_S_SELECT2 select, char sense,
+                                lapack_int n, float* a, lapack_int lda,
+                                lapack_int* sdim, float* wr, float* wi,
+                                float* vs, lapack_int ldvs, float* rconde,
+                                float* rcondv, float* work, lapack_int lwork,
+                                lapack_int* iwork, lapack_int liwork,
+                                lapack_logical* bwork );
+lapack_int LAPACKE_dgeesx_work( int matrix_order, char jobvs, char sort,
+                                LAPACK_D_SELECT2 select, char sense,
+                                lapack_int n, double* a, lapack_int lda,
+                                lapack_int* sdim, double* wr, double* wi,
+                                double* vs, lapack_int ldvs, double* rconde,
+                                double* rcondv, double* work, lapack_int lwork,
+                                lapack_int* iwork, lapack_int liwork,
+                                lapack_logical* bwork );
+lapack_int LAPACKE_cgeesx_work( int matrix_order, char jobvs, char sort,
+                                LAPACK_C_SELECT1 select, char sense,
+                                lapack_int n, lapack_complex_float* a,
+                                lapack_int lda, lapack_int* sdim,
+                                lapack_complex_float* w,
+                                lapack_complex_float* vs, lapack_int ldvs,
+                                float* rconde, float* rcondv,
+                                lapack_complex_float* work, lapack_int lwork,
+                                float* rwork, lapack_logical* bwork );
+lapack_int LAPACKE_zgeesx_work( int matrix_order, char jobvs, char sort,
+                                LAPACK_Z_SELECT1 select, char sense,
+                                lapack_int n, lapack_complex_double* a,
+                                lapack_int lda, lapack_int* sdim,
+                                lapack_complex_double* w,
+                                lapack_complex_double* vs, lapack_int ldvs,
+                                double* rconde, double* rcondv,
+                                lapack_complex_double* work, lapack_int lwork,
+                                double* rwork, lapack_logical* bwork );
+
+lapack_int LAPACKE_sgeev_work( int matrix_order, char jobvl, char jobvr,
+                               lapack_int n, float* a, lapack_int lda,
+                               float* wr, float* wi, float* vl, lapack_int ldvl,
+                               float* vr, lapack_int ldvr, float* work,
+                               lapack_int lwork );
+lapack_int LAPACKE_dgeev_work( int matrix_order, char jobvl, char jobvr,
+                               lapack_int n, double* a, lapack_int lda,
+                               double* wr, double* wi, double* vl,
+                               lapack_int ldvl, double* vr, lapack_int ldvr,
+                               double* work, lapack_int lwork );
+lapack_int LAPACKE_cgeev_work( int matrix_order, char jobvl, char jobvr,
+                               lapack_int n, lapack_complex_float* a,
+                               lapack_int lda, lapack_complex_float* w,
+                               lapack_complex_float* vl, lapack_int ldvl,
+                               lapack_complex_float* vr, lapack_int ldvr,
+                               lapack_complex_float* work, lapack_int lwork,
+                               float* rwork );
+lapack_int LAPACKE_zgeev_work( int matrix_order, char jobvl, char jobvr,
+                               lapack_int n, lapack_complex_double* a,
+                               lapack_int lda, lapack_complex_double* w,
+                               lapack_complex_double* vl, lapack_int ldvl,
+                               lapack_complex_double* vr, lapack_int ldvr,
+                               lapack_complex_double* work, lapack_int lwork,
+                               double* rwork );
+
+lapack_int LAPACKE_sgeevx_work( int matrix_order, char balanc, char jobvl,
+                                char jobvr, char sense, lapack_int n, float* a,
+                                lapack_int lda, float* wr, float* wi, float* vl,
+                                lapack_int ldvl, float* vr, lapack_int ldvr,
+                                lapack_int* ilo, lapack_int* ihi, float* scale,
+                                float* abnrm, float* rconde, float* rcondv,
+                                float* work, lapack_int lwork,
+                                lapack_int* iwork );
+lapack_int LAPACKE_dgeevx_work( int matrix_order, char balanc, char jobvl,
+                                char jobvr, char sense, lapack_int n, double* a,
+                                lapack_int lda, double* wr, double* wi,
+                                double* vl, lapack_int ldvl, double* vr,
+                                lapack_int ldvr, lapack_int* ilo,
+                                lapack_int* ihi, double* scale, double* abnrm,
+                                double* rconde, double* rcondv, double* work,
+                                lapack_int lwork, lapack_int* iwork );
+lapack_int LAPACKE_cgeevx_work( int matrix_order, char balanc, char jobvl,
+                                char jobvr, char sense, lapack_int n,
+                                lapack_complex_float* a, lapack_int lda,
+                                lapack_complex_float* w,
+                                lapack_complex_float* vl, lapack_int ldvl,
+                                lapack_complex_float* vr, lapack_int ldvr,
+                                lapack_int* ilo, lapack_int* ihi, float* scale,
+                                float* abnrm, float* rconde, float* rcondv,
+                                lapack_complex_float* work, lapack_int lwork,
+                                float* rwork );
+lapack_int LAPACKE_zgeevx_work( int matrix_order, char balanc, char jobvl,
+                                char jobvr, char sense, lapack_int n,
+                                lapack_complex_double* a, lapack_int lda,
+                                lapack_complex_double* w,
+                                lapack_complex_double* vl, lapack_int ldvl,
+                                lapack_complex_double* vr, lapack_int ldvr,
+                                lapack_int* ilo, lapack_int* ihi, double* scale,
+                                double* abnrm, double* rconde, double* rcondv,
+                                lapack_complex_double* work, lapack_int lwork,
+                                double* rwork );
+
+lapack_int LAPACKE_sgehrd_work( int matrix_order, lapack_int n, lapack_int ilo,
+                                lapack_int ihi, float* a, lapack_int lda,
+                                float* tau, float* work, lapack_int lwork );
+lapack_int LAPACKE_dgehrd_work( int matrix_order, lapack_int n, lapack_int ilo,
+                                lapack_int ihi, double* a, lapack_int lda,
+                                double* tau, double* work, lapack_int lwork );
+lapack_int LAPACKE_cgehrd_work( int matrix_order, lapack_int n, lapack_int ilo,
+                                lapack_int ihi, lapack_complex_float* a,
+                                lapack_int lda, lapack_complex_float* tau,
+                                lapack_complex_float* work, lapack_int lwork );
+lapack_int LAPACKE_zgehrd_work( int matrix_order, lapack_int n, lapack_int ilo,
+                                lapack_int ihi, lapack_complex_double* a,
+                                lapack_int lda, lapack_complex_double* tau,
+                                lapack_complex_double* work, lapack_int lwork );
+
+lapack_int LAPACKE_sgejsv_work( int matrix_order, char joba, char jobu,
+                                char jobv, char jobr, char jobt, char jobp,
+                                lapack_int m, lapack_int n, float* a,
+                                lapack_int lda, float* sva, float* u,
+                                lapack_int ldu, float* v, lapack_int ldv,
+                                float* work, lapack_int lwork,
+                                lapack_int* iwork );
+lapack_int LAPACKE_dgejsv_work( int matrix_order, char joba, char jobu,
+                                char jobv, char jobr, char jobt, char jobp,
+                                lapack_int m, lapack_int n, double* a,
+                                lapack_int lda, double* sva, double* u,
+                                lapack_int ldu, double* v, lapack_int ldv,
+                                double* work, lapack_int lwork,
+                                lapack_int* iwork );
+
+lapack_int LAPACKE_sgelq2_work( int matrix_order, lapack_int m, lapack_int n,
+                                float* a, lapack_int lda, float* tau,
+                                float* work );
+lapack_int LAPACKE_dgelq2_work( int matrix_order, lapack_int m, lapack_int n,
+                                double* a, lapack_int lda, double* tau,
+                                double* work );
+lapack_int LAPACKE_cgelq2_work( int matrix_order, lapack_int m, lapack_int n,
+                                lapack_complex_float* a, lapack_int lda,
+                                lapack_complex_float* tau,
+                                lapack_complex_float* work );
+lapack_int LAPACKE_zgelq2_work( int matrix_order, lapack_int m, lapack_int n,
+                                lapack_complex_double* a, lapack_int lda,
+                                lapack_complex_double* tau,
+                                lapack_complex_double* work );
+
+lapack_int LAPACKE_sgelqf_work( int matrix_order, lapack_int m, lapack_int n,
+                                float* a, lapack_int lda, float* tau,
+                                float* work, lapack_int lwork );
+lapack_int LAPACKE_dgelqf_work( int matrix_order, lapack_int m, lapack_int n,
+                                double* a, lapack_int lda, double* tau,
+                                double* work, lapack_int lwork );
+lapack_int LAPACKE_cgelqf_work( int matrix_order, lapack_int m, lapack_int n,
+                                lapack_complex_float* a, lapack_int lda,
+                                lapack_complex_float* tau,
+                                lapack_complex_float* work, lapack_int lwork );
+lapack_int LAPACKE_zgelqf_work( int matrix_order, lapack_int m, lapack_int n,
+                                lapack_complex_double* a, lapack_int lda,
+                                lapack_complex_double* tau,
+                                lapack_complex_double* work, lapack_int lwork );
+
+lapack_int LAPACKE_sgels_work( int matrix_order, char trans, lapack_int m,
+                               lapack_int n, lapack_int nrhs, float* a,
+                               lapack_int lda, float* b, lapack_int ldb,
+                               float* work, lapack_int lwork );
+lapack_int LAPACKE_dgels_work( int matrix_order, char trans, lapack_int m,
+                               lapack_int n, lapack_int nrhs, double* a,
+                               lapack_int lda, double* b, lapack_int ldb,
+                               double* work, lapack_int lwork );
+lapack_int LAPACKE_cgels_work( int matrix_order, char trans, lapack_int m,
+                               lapack_int n, lapack_int nrhs,
+                               lapack_complex_float* a, lapack_int lda,
+                               lapack_complex_float* b, lapack_int ldb,
+                               lapack_complex_float* work, lapack_int lwork );
+lapack_int LAPACKE_zgels_work( int matrix_order, char trans, lapack_int m,
+                               lapack_int n, lapack_int nrhs,
+                               lapack_complex_double* a, lapack_int lda,
+                               lapack_complex_double* b, lapack_int ldb,
+                               lapack_complex_double* work, lapack_int lwork );
+
+lapack_int LAPACKE_sgelsd_work( int matrix_order, lapack_int m, lapack_int n,
+                                lapack_int nrhs, float* a, lapack_int lda,
+                                float* b, lapack_int ldb, float* s, float rcond,
+                                lapack_int* rank, float* work, lapack_int lwork,
+                                lapack_int* iwork );
+lapack_int LAPACKE_dgelsd_work( int matrix_order, lapack_int m, lapack_int n,
+                                lapack_int nrhs, double* a, lapack_int lda,
+                                double* b, lapack_int ldb, double* s,
+                                double rcond, lapack_int* rank, double* work,
+                                lapack_int lwork, lapack_int* iwork );
+lapack_int LAPACKE_cgelsd_work( int matrix_order, lapack_int m, lapack_int n,
+                                lapack_int nrhs, lapack_complex_float* a,
+                                lapack_int lda, lapack_complex_float* b,
+                                lapack_int ldb, float* s, float rcond,
+                                lapack_int* rank, lapack_complex_float* work,
+                                lapack_int lwork, float* rwork,
+                                lapack_int* iwork );
+lapack_int LAPACKE_zgelsd_work( int matrix_order, lapack_int m, lapack_int n,
+                                lapack_int nrhs, lapack_complex_double* a,
+                                lapack_int lda, lapack_complex_double* b,
+                                lapack_int ldb, double* s, double rcond,
+                                lapack_int* rank, lapack_complex_double* work,
+                                lapack_int lwork, double* rwork,
+                                lapack_int* iwork );
+
+lapack_int LAPACKE_sgelss_work( int matrix_order, lapack_int m, lapack_int n,
+                                lapack_int nrhs, float* a, lapack_int lda,
+                                float* b, lapack_int ldb, float* s, float rcond,
+                                lapack_int* rank, float* work,
+                                lapack_int lwork );
+lapack_int LAPACKE_dgelss_work( int matrix_order, lapack_int m, lapack_int n,
+                                lapack_int nrhs, double* a, lapack_int lda,
+                                double* b, lapack_int ldb, double* s,
+                                double rcond, lapack_int* rank, double* work,
+                                lapack_int lwork );
+lapack_int LAPACKE_cgelss_work( int matrix_order, lapack_int m, lapack_int n,
+                                lapack_int nrhs, lapack_complex_float* a,
+                                lapack_int lda, lapack_complex_float* b,
+                                lapack_int ldb, float* s, float rcond,
+                                lapack_int* rank, lapack_complex_float* work,
+                                lapack_int lwork, float* rwork );
+lapack_int LAPACKE_zgelss_work( int matrix_order, lapack_int m, lapack_int n,
+                                lapack_int nrhs, lapack_complex_double* a,
+                                lapack_int lda, lapack_complex_double* b,
+                                lapack_int ldb, double* s, double rcond,
+                                lapack_int* rank, lapack_complex_double* work,
+                                lapack_int lwork, double* rwork );
+
+lapack_int LAPACKE_sgelsy_work( int matrix_order, lapack_int m, lapack_int n,
+                                lapack_int nrhs, float* a, lapack_int lda,
+                                float* b, lapack_int ldb, lapack_int* jpvt,
+                                float rcond, lapack_int* rank, float* work,
+                                lapack_int lwork );
+lapack_int LAPACKE_dgelsy_work( int matrix_order, lapack_int m, lapack_int n,
+                                lapack_int nrhs, double* a, lapack_int lda,
+                                double* b, lapack_int ldb, lapack_int* jpvt,
+                                double rcond, lapack_int* rank, double* work,
+                                lapack_int lwork );
+lapack_int LAPACKE_cgelsy_work( int matrix_order, lapack_int m, lapack_int n,
+                                lapack_int nrhs, lapack_complex_float* a,
+                                lapack_int lda, lapack_complex_float* b,
+                                lapack_int ldb, lapack_int* jpvt, float rcond,
+                                lapack_int* rank, lapack_complex_float* work,
+                                lapack_int lwork, float* rwork );
+lapack_int LAPACKE_zgelsy_work( int matrix_order, lapack_int m, lapack_int n,
+                                lapack_int nrhs, lapack_complex_double* a,
+                                lapack_int lda, lapack_complex_double* b,
+                                lapack_int ldb, lapack_int* jpvt, double rcond,
+                                lapack_int* rank, lapack_complex_double* work,
+                                lapack_int lwork, double* rwork );
+
+lapack_int LAPACKE_sgeqlf_work( int matrix_order, lapack_int m, lapack_int n,
+                                float* a, lapack_int lda, float* tau,
+                                float* work, lapack_int lwork );
+lapack_int LAPACKE_dgeqlf_work( int matrix_order, lapack_int m, lapack_int n,
+                                double* a, lapack_int lda, double* tau,
+                                double* work, lapack_int lwork );
+lapack_int LAPACKE_cgeqlf_work( int matrix_order, lapack_int m, lapack_int n,
+                                lapack_complex_float* a, lapack_int lda,
+                                lapack_complex_float* tau,
+                                lapack_complex_float* work, lapack_int lwork );
+lapack_int LAPACKE_zgeqlf_work( int matrix_order, lapack_int m, lapack_int n,
+                                lapack_complex_double* a, lapack_int lda,
+                                lapack_complex_double* tau,
+                                lapack_complex_double* work, lapack_int lwork );
+
+lapack_int LAPACKE_sgeqp3_work( int matrix_order, lapack_int m, lapack_int n,
+                                float* a, lapack_int lda, lapack_int* jpvt,
+                                float* tau, float* work, lapack_int lwork );
+lapack_int LAPACKE_dgeqp3_work( int matrix_order, lapack_int m, lapack_int n,
+                                double* a, lapack_int lda, lapack_int* jpvt,
+                                double* tau, double* work, lapack_int lwork );
+lapack_int LAPACKE_cgeqp3_work( int matrix_order, lapack_int m, lapack_int n,
+                                lapack_complex_float* a, lapack_int lda,
+                                lapack_int* jpvt, lapack_complex_float* tau,
+                                lapack_complex_float* work, lapack_int lwork,
+                                float* rwork );
+lapack_int LAPACKE_zgeqp3_work( int matrix_order, lapack_int m, lapack_int n,
+                                lapack_complex_double* a, lapack_int lda,
+                                lapack_int* jpvt, lapack_complex_double* tau,
+                                lapack_complex_double* work, lapack_int lwork,
+                                double* rwork );
+
+lapack_int LAPACKE_sgeqpf_work( int matrix_order, lapack_int m, lapack_int n,
+                                float* a, lapack_int lda, lapack_int* jpvt,
+                                float* tau, float* work );
+lapack_int LAPACKE_dgeqpf_work( int matrix_order, lapack_int m, lapack_int n,
+                                double* a, lapack_int lda, lapack_int* jpvt,
+                                double* tau, double* work );
+lapack_int LAPACKE_cgeqpf_work( int matrix_order, lapack_int m, lapack_int n,
+                                lapack_complex_float* a, lapack_int lda,
+                                lapack_int* jpvt, lapack_complex_float* tau,
+                                lapack_complex_float* work, float* rwork );
+lapack_int LAPACKE_zgeqpf_work( int matrix_order, lapack_int m, lapack_int n,
+                                lapack_complex_double* a, lapack_int lda,
+                                lapack_int* jpvt, lapack_complex_double* tau,
+                                lapack_complex_double* work, double* rwork );
+
+lapack_int LAPACKE_sgeqr2_work( int matrix_order, lapack_int m, lapack_int n,
+                                float* a, lapack_int lda, float* tau,
+                                float* work );
+lapack_int LAPACKE_dgeqr2_work( int matrix_order, lapack_int m, lapack_int n,
+                                double* a, lapack_int lda, double* tau,
+                                double* work );
+lapack_int LAPACKE_cgeqr2_work( int matrix_order, lapack_int m, lapack_int n,
+                                lapack_complex_float* a, lapack_int lda,
+                                lapack_complex_float* tau,
+                                lapack_complex_float* work );
+lapack_int LAPACKE_zgeqr2_work( int matrix_order, lapack_int m, lapack_int n,
+                                lapack_complex_double* a, lapack_int lda,
+                                lapack_complex_double* tau,
+                                lapack_complex_double* work );
+
+lapack_int LAPACKE_sgeqrf_work( int matrix_order, lapack_int m, lapack_int n,
+                                float* a, lapack_int lda, float* tau,
+                                float* work, lapack_int lwork );
+lapack_int LAPACKE_dgeqrf_work( int matrix_order, lapack_int m, lapack_int n,
+                                double* a, lapack_int lda, double* tau,
+                                double* work, lapack_int lwork );
+lapack_int LAPACKE_cgeqrf_work( int matrix_order, lapack_int m, lapack_int n,
+                                lapack_complex_float* a, lapack_int lda,
+                                lapack_complex_float* tau,
+                                lapack_complex_float* work, lapack_int lwork );
+lapack_int LAPACKE_zgeqrf_work( int matrix_order, lapack_int m, lapack_int n,
+                                lapack_complex_double* a, lapack_int lda,
+                                lapack_complex_double* tau,
+                                lapack_complex_double* work, lapack_int lwork );
+
+lapack_int LAPACKE_sgeqrfp_work( int matrix_order, lapack_int m, lapack_int n,
+                                 float* a, lapack_int lda, float* tau,
+                                 float* work, lapack_int lwork );
+lapack_int LAPACKE_dgeqrfp_work( int matrix_order, lapack_int m, lapack_int n,
+                                 double* a, lapack_int lda, double* tau,
+                                 double* work, lapack_int lwork );
+lapack_int LAPACKE_cgeqrfp_work( int matrix_order, lapack_int m, lapack_int n,
+                                 lapack_complex_float* a, lapack_int lda,
+                                 lapack_complex_float* tau,
+                                 lapack_complex_float* work, lapack_int lwork );
+lapack_int LAPACKE_zgeqrfp_work( int matrix_order, lapack_int m, lapack_int n,
+                                 lapack_complex_double* a, lapack_int lda,
+                                 lapack_complex_double* tau,
+                                 lapack_complex_double* work,
+                                 lapack_int lwork );
+
+lapack_int LAPACKE_sgerfs_work( int matrix_order, char trans, lapack_int n,
+                                lapack_int nrhs, const float* a, lapack_int lda,
+                                const float* af, lapack_int ldaf,
+                                const lapack_int* ipiv, const float* b,
+                                lapack_int ldb, float* x, lapack_int ldx,
+                                float* ferr, float* berr, float* work,
+                                lapack_int* iwork );
+lapack_int LAPACKE_dgerfs_work( int matrix_order, char trans, lapack_int n,
+                                lapack_int nrhs, const double* a,
+                                lapack_int lda, const double* af,
+                                lapack_int ldaf, const lapack_int* ipiv,
+                                const double* b, lapack_int ldb, double* x,
+                                lapack_int ldx, double* ferr, double* berr,
+                                double* work, lapack_int* iwork );
+lapack_int LAPACKE_cgerfs_work( int matrix_order, char trans, lapack_int n,
+                                lapack_int nrhs, const lapack_complex_float* a,
+                                lapack_int lda, const lapack_complex_float* af,
+                                lapack_int ldaf, const lapack_int* ipiv,
+                                const lapack_complex_float* b, lapack_int ldb,
+                                lapack_complex_float* x, lapack_int ldx,
+                                float* ferr, float* berr,
+                                lapack_complex_float* work, float* rwork );
+lapack_int LAPACKE_zgerfs_work( int matrix_order, char trans, lapack_int n,
+                                lapack_int nrhs, const lapack_complex_double* a,
+                                lapack_int lda, const lapack_complex_double* af,
+                                lapack_int ldaf, const lapack_int* ipiv,
+                                const lapack_complex_double* b, lapack_int ldb,
+                                lapack_complex_double* x, lapack_int ldx,
+                                double* ferr, double* berr,
+                                lapack_complex_double* work, double* rwork );
+
+lapack_int LAPACKE_sgerfsx_work( int matrix_order, char trans, char equed,
+                                 lapack_int n, lapack_int nrhs, const float* a,
+                                 lapack_int lda, const float* af,
+                                 lapack_int ldaf, const lapack_int* ipiv,
+                                 const float* r, const float* c, const float* b,
+                                 lapack_int ldb, float* x, lapack_int ldx,
+                                 float* rcond, float* berr,
+                                 lapack_int n_err_bnds, float* err_bnds_norm,
+                                 float* err_bnds_comp, lapack_int nparams,
+                                 float* params, float* work,
+                                 lapack_int* iwork );
+lapack_int LAPACKE_dgerfsx_work( int matrix_order, char trans, char equed,
+                                 lapack_int n, lapack_int nrhs, const double* a,
+                                 lapack_int lda, const double* af,
+                                 lapack_int ldaf, const lapack_int* ipiv,
+                                 const double* r, const double* c,
+                                 const double* b, lapack_int ldb, double* x,
+                                 lapack_int ldx, double* rcond, double* berr,
+                                 lapack_int n_err_bnds, double* err_bnds_norm,
+                                 double* err_bnds_comp, lapack_int nparams,
+                                 double* params, double* work,
+                                 lapack_int* iwork );
+lapack_int LAPACKE_cgerfsx_work( int matrix_order, char trans, char equed,
+                                 lapack_int n, lapack_int nrhs,
+                                 const lapack_complex_float* a, lapack_int lda,
+                                 const lapack_complex_float* af,
+                                 lapack_int ldaf, const lapack_int* ipiv,
+                                 const float* r, const float* c,
+                                 const lapack_complex_float* b, lapack_int ldb,
+                                 lapack_complex_float* x, lapack_int ldx,
+                                 float* rcond, float* berr,
+                                 lapack_int n_err_bnds, float* err_bnds_norm,
+                                 float* err_bnds_comp, lapack_int nparams,
+                                 float* params, lapack_complex_float* work,
+                                 float* rwork );
+lapack_int LAPACKE_zgerfsx_work( int matrix_order, char trans, char equed,
+                                 lapack_int n, lapack_int nrhs,
+                                 const lapack_complex_double* a, lapack_int lda,
+                                 const lapack_complex_double* af,
+                                 lapack_int ldaf, const lapack_int* ipiv,
+                                 const double* r, const double* c,
+                                 const lapack_complex_double* b, lapack_int ldb,
+                                 lapack_complex_double* x, lapack_int ldx,
+                                 double* rcond, double* berr,
+                                 lapack_int n_err_bnds, double* err_bnds_norm,
+                                 double* err_bnds_comp, lapack_int nparams,
+                                 double* params, lapack_complex_double* work,
+                                 double* rwork );
+
+lapack_int LAPACKE_sgerqf_work( int matrix_order, lapack_int m, lapack_int n,
+                                float* a, lapack_int lda, float* tau,
+                                float* work, lapack_int lwork );
+lapack_int LAPACKE_dgerqf_work( int matrix_order, lapack_int m, lapack_int n,
+                                double* a, lapack_int lda, double* tau,
+                                double* work, lapack_int lwork );
+lapack_int LAPACKE_cgerqf_work( int matrix_order, lapack_int m, lapack_int n,
+                                lapack_complex_float* a, lapack_int lda,
+                                lapack_complex_float* tau,
+                                lapack_complex_float* work, lapack_int lwork );
+lapack_int LAPACKE_zgerqf_work( int matrix_order, lapack_int m, lapack_int n,
+                                lapack_complex_double* a, lapack_int lda,
+                                lapack_complex_double* tau,
+                                lapack_complex_double* work, lapack_int lwork );
+
+lapack_int LAPACKE_sgesdd_work( int matrix_order, char jobz, lapack_int m,
+                                lapack_int n, float* a, lapack_int lda,
+                                float* s, float* u, lapack_int ldu, float* vt,
+                                lapack_int ldvt, float* work, lapack_int lwork,
+                                lapack_int* iwork );
+lapack_int LAPACKE_dgesdd_work( int matrix_order, char jobz, lapack_int m,
+                                lapack_int n, double* a, lapack_int lda,
+                                double* s, double* u, lapack_int ldu,
+                                double* vt, lapack_int ldvt, double* work,
+                                lapack_int lwork, lapack_int* iwork );
+lapack_int LAPACKE_cgesdd_work( int matrix_order, char jobz, lapack_int m,
+                                lapack_int n, lapack_complex_float* a,
+                                lapack_int lda, float* s,
+                                lapack_complex_float* u, lapack_int ldu,
+                                lapack_complex_float* vt, lapack_int ldvt,
+                                lapack_complex_float* work, lapack_int lwork,
+                                float* rwork, lapack_int* iwork );
+lapack_int LAPACKE_zgesdd_work( int matrix_order, char jobz, lapack_int m,
+                                lapack_int n, lapack_complex_double* a,
+                                lapack_int lda, double* s,
+                                lapack_complex_double* u, lapack_int ldu,
+                                lapack_complex_double* vt, lapack_int ldvt,
+                                lapack_complex_double* work, lapack_int lwork,
+                                double* rwork, lapack_int* iwork );
+
+lapack_int LAPACKE_sgesv_work( int matrix_order, lapack_int n, lapack_int nrhs,
+                               float* a, lapack_int lda, lapack_int* ipiv,
+                               float* b, lapack_int ldb );
+lapack_int LAPACKE_dgesv_work( int matrix_order, lapack_int n, lapack_int nrhs,
+                               double* a, lapack_int lda, lapack_int* ipiv,
+                               double* b, lapack_int ldb );
+lapack_int LAPACKE_cgesv_work( int matrix_order, lapack_int n, lapack_int nrhs,
+                               lapack_complex_float* a, lapack_int lda,
+                               lapack_int* ipiv, lapack_complex_float* b,
+                               lapack_int ldb );
+lapack_int LAPACKE_zgesv_work( int matrix_order, lapack_int n, lapack_int nrhs,
+                               lapack_complex_double* a, lapack_int lda,
+                               lapack_int* ipiv, lapack_complex_double* b,
+                               lapack_int ldb );
+lapack_int LAPACKE_dsgesv_work( int matrix_order, lapack_int n, lapack_int nrhs,
+                                double* a, lapack_int lda, lapack_int* ipiv,
+                                double* b, lapack_int ldb, double* x,
+                                lapack_int ldx, double* work, float* swork,
+                                lapack_int* iter );
+lapack_int LAPACKE_zcgesv_work( int matrix_order, lapack_int n, lapack_int nrhs,
+                                lapack_complex_double* a, lapack_int lda,
+                                lapack_int* ipiv, lapack_complex_double* b,
+                                lapack_int ldb, lapack_complex_double* x,
+                                lapack_int ldx, lapack_complex_double* work,
+                                lapack_complex_float* swork, double* rwork,
+                                lapack_int* iter );
+
+lapack_int LAPACKE_sgesvd_work( int matrix_order, char jobu, char jobvt,
+                                lapack_int m, lapack_int n, float* a,
+                                lapack_int lda, float* s, float* u,
+                                lapack_int ldu, float* vt, lapack_int ldvt,
+                                float* work, lapack_int lwork );
+lapack_int LAPACKE_dgesvd_work( int matrix_order, char jobu, char jobvt,
+                                lapack_int m, lapack_int n, double* a,
+                                lapack_int lda, double* s, double* u,
+                                lapack_int ldu, double* vt, lapack_int ldvt,
+                                double* work, lapack_int lwork );
+lapack_int LAPACKE_cgesvd_work( int matrix_order, char jobu, char jobvt,
+                                lapack_int m, lapack_int n,
+                                lapack_complex_float* a, lapack_int lda,
+                                float* s, lapack_complex_float* u,
+                                lapack_int ldu, lapack_complex_float* vt,
+                                lapack_int ldvt, lapack_complex_float* work,
+                                lapack_int lwork, float* rwork );
+lapack_int LAPACKE_zgesvd_work( int matrix_order, char jobu, char jobvt,
+                                lapack_int m, lapack_int n,
+                                lapack_complex_double* a, lapack_int lda,
+                                double* s, lapack_complex_double* u,
+                                lapack_int ldu, lapack_complex_double* vt,
+                                lapack_int ldvt, lapack_complex_double* work,
+                                lapack_int lwork, double* rwork );
+
+lapack_int LAPACKE_sgesvj_work( int matrix_order, char joba, char jobu,
+                                char jobv, lapack_int m, lapack_int n, float* a,
+                                lapack_int lda, float* sva, lapack_int mv,
+                                float* v, lapack_int ldv, float* work,
+                                lapack_int lwork );
+lapack_int LAPACKE_dgesvj_work( int matrix_order, char joba, char jobu,
+                                char jobv, lapack_int m, lapack_int n,
+                                double* a, lapack_int lda, double* sva,
+                                lapack_int mv, double* v, lapack_int ldv,
+                                double* work, lapack_int lwork );
+
+lapack_int LAPACKE_sgesvx_work( int matrix_order, char fact, char trans,
+                                lapack_int n, lapack_int nrhs, float* a,
+                                lapack_int lda, float* af, lapack_int ldaf,
+                                lapack_int* ipiv, char* equed, float* r,
+                                float* c, float* b, lapack_int ldb, float* x,
+                                lapack_int ldx, float* rcond, float* ferr,
+                                float* berr, float* work, lapack_int* iwork );
+lapack_int LAPACKE_dgesvx_work( int matrix_order, char fact, char trans,
+                                lapack_int n, lapack_int nrhs, double* a,
+                                lapack_int lda, double* af, lapack_int ldaf,
+                                lapack_int* ipiv, char* equed, double* r,
+                                double* c, double* b, lapack_int ldb, double* x,
+                                lapack_int ldx, double* rcond, double* ferr,
+                                double* berr, double* work, lapack_int* iwork );
+lapack_int LAPACKE_cgesvx_work( int matrix_order, char fact, char trans,
+                                lapack_int n, lapack_int nrhs,
+                                lapack_complex_float* a, lapack_int lda,
+                                lapack_complex_float* af, lapack_int ldaf,
+                                lapack_int* ipiv, char* equed, float* r,
+                                float* c, lapack_complex_float* b,
+                                lapack_int ldb, lapack_complex_float* x,
+                                lapack_int ldx, float* rcond, float* ferr,
+                                float* berr, lapack_complex_float* work,
+                                float* rwork );
+lapack_int LAPACKE_zgesvx_work( int matrix_order, char fact, char trans,
+                                lapack_int n, lapack_int nrhs,
+                                lapack_complex_double* a, lapack_int lda,
+                                lapack_complex_double* af, lapack_int ldaf,
+                                lapack_int* ipiv, char* equed, double* r,
+                                double* c, lapack_complex_double* b,
+                                lapack_int ldb, lapack_complex_double* x,
+                                lapack_int ldx, double* rcond, double* ferr,
+                                double* berr, lapack_complex_double* work,
+                                double* rwork );
+
+lapack_int LAPACKE_sgesvxx_work( int matrix_order, char fact, char trans,
+                                 lapack_int n, lapack_int nrhs, float* a,
+                                 lapack_int lda, float* af, lapack_int ldaf,
+                                 lapack_int* ipiv, char* equed, float* r,
+                                 float* c, float* b, lapack_int ldb, float* x,
+                                 lapack_int ldx, float* rcond, float* rpvgrw,
+                                 float* berr, lapack_int n_err_bnds,
+                                 float* err_bnds_norm, float* err_bnds_comp,
+                                 lapack_int nparams, float* params, float* work,
+                                 lapack_int* iwork );
+lapack_int LAPACKE_dgesvxx_work( int matrix_order, char fact, char trans,
+                                 lapack_int n, lapack_int nrhs, double* a,
+                                 lapack_int lda, double* af, lapack_int ldaf,
+                                 lapack_int* ipiv, char* equed, double* r,
+                                 double* c, double* b, lapack_int ldb,
+                                 double* x, lapack_int ldx, double* rcond,
+                                 double* rpvgrw, double* berr,
+                                 lapack_int n_err_bnds, double* err_bnds_norm,
+                                 double* err_bnds_comp, lapack_int nparams,
+                                 double* params, double* work,
+                                 lapack_int* iwork );
+lapack_int LAPACKE_cgesvxx_work( int matrix_order, char fact, char trans,
+                                 lapack_int n, lapack_int nrhs,
+                                 lapack_complex_float* a, lapack_int lda,
+                                 lapack_complex_float* af, lapack_int ldaf,
+                                 lapack_int* ipiv, char* equed, float* r,
+                                 float* c, lapack_complex_float* b,
+                                 lapack_int ldb, lapack_complex_float* x,
+                                 lapack_int ldx, float* rcond, float* rpvgrw,
+                                 float* berr, lapack_int n_err_bnds,
+                                 float* err_bnds_norm, float* err_bnds_comp,
+                                 lapack_int nparams, float* params,
+                                 lapack_complex_float* work, float* rwork );
+lapack_int LAPACKE_zgesvxx_work( int matrix_order, char fact, char trans,
+                                 lapack_int n, lapack_int nrhs,
+                                 lapack_complex_double* a, lapack_int lda,
+                                 lapack_complex_double* af, lapack_int ldaf,
+                                 lapack_int* ipiv, char* equed, double* r,
+                                 double* c, lapack_complex_double* b,
+                                 lapack_int ldb, lapack_complex_double* x,
+                                 lapack_int ldx, double* rcond, double* rpvgrw,
+                                 double* berr, lapack_int n_err_bnds,
+                                 double* err_bnds_norm, double* err_bnds_comp,
+                                 lapack_int nparams, double* params,
+                                 lapack_complex_double* work, double* rwork );
+
+lapack_int LAPACKE_sgetf2_work( int matrix_order, lapack_int m, lapack_int n,
+                                float* a, lapack_int lda, lapack_int* ipiv );
+lapack_int LAPACKE_dgetf2_work( int matrix_order, lapack_int m, lapack_int n,
+                                double* a, lapack_int lda, lapack_int* ipiv );
+lapack_int LAPACKE_cgetf2_work( int matrix_order, lapack_int m, lapack_int n,
+                                lapack_complex_float* a, lapack_int lda,
+                                lapack_int* ipiv );
+lapack_int LAPACKE_zgetf2_work( int matrix_order, lapack_int m, lapack_int n,
+                                lapack_complex_double* a, lapack_int lda,
+                                lapack_int* ipiv );
+
+lapack_int LAPACKE_sgetrf_work( int matrix_order, lapack_int m, lapack_int n,
+                                float* a, lapack_int lda, lapack_int* ipiv );
+lapack_int LAPACKE_dgetrf_work( int matrix_order, lapack_int m, lapack_int n,
+                                double* a, lapack_int lda, lapack_int* ipiv );
+lapack_int LAPACKE_cgetrf_work( int matrix_order, lapack_int m, lapack_int n,
+                                lapack_complex_float* a, lapack_int lda,
+                                lapack_int* ipiv );
+lapack_int LAPACKE_zgetrf_work( int matrix_order, lapack_int m, lapack_int n,
+                                lapack_complex_double* a, lapack_int lda,
+                                lapack_int* ipiv );
+
+lapack_int LAPACKE_sgetri_work( int matrix_order, lapack_int n, float* a,
+                                lapack_int lda, const lapack_int* ipiv,
+                                float* work, lapack_int lwork );
+lapack_int LAPACKE_dgetri_work( int matrix_order, lapack_int n, double* a,
+                                lapack_int lda, const lapack_int* ipiv,
+                                double* work, lapack_int lwork );
+lapack_int LAPACKE_cgetri_work( int matrix_order, lapack_int n,
+                                lapack_complex_float* a, lapack_int lda,
+                                const lapack_int* ipiv,
+                                lapack_complex_float* work, lapack_int lwork );
+lapack_int LAPACKE_zgetri_work( int matrix_order, lapack_int n,
+                                lapack_complex_double* a, lapack_int lda,
+                                const lapack_int* ipiv,
+                                lapack_complex_double* work, lapack_int lwork );
+
+lapack_int LAPACKE_sgetrs_work( int matrix_order, char trans, lapack_int n,
+                                lapack_int nrhs, const float* a, lapack_int lda,
+                                const lapack_int* ipiv, float* b,
+                                lapack_int ldb );
+lapack_int LAPACKE_dgetrs_work( int matrix_order, char trans, lapack_int n,
+                                lapack_int nrhs, const double* a,
+                                lapack_int lda, const lapack_int* ipiv,
+                                double* b, lapack_int ldb );
+lapack_int LAPACKE_cgetrs_work( int matrix_order, char trans, lapack_int n,
+                                lapack_int nrhs, const lapack_complex_float* a,
+                                lapack_int lda, const lapack_int* ipiv,
+                                lapack_complex_float* b, lapack_int ldb );
+lapack_int LAPACKE_zgetrs_work( int matrix_order, char trans, lapack_int n,
+                                lapack_int nrhs, const lapack_complex_double* a,
+                                lapack_int lda, const lapack_int* ipiv,
+                                lapack_complex_double* b, lapack_int ldb );
+
+lapack_int LAPACKE_sggbak_work( int matrix_order, char job, char side,
+                                lapack_int n, lapack_int ilo, lapack_int ihi,
+                                const float* lscale, const float* rscale,
+                                lapack_int m, float* v, lapack_int ldv );
+lapack_int LAPACKE_dggbak_work( int matrix_order, char job, char side,
+                                lapack_int n, lapack_int ilo, lapack_int ihi,
+                                const double* lscale, const double* rscale,
+                                lapack_int m, double* v, lapack_int ldv );
+lapack_int LAPACKE_cggbak_work( int matrix_order, char job, char side,
+                                lapack_int n, lapack_int ilo, lapack_int ihi,
+                                const float* lscale, const float* rscale,
+                                lapack_int m, lapack_complex_float* v,
+                                lapack_int ldv );
+lapack_int LAPACKE_zggbak_work( int matrix_order, char job, char side,
+                                lapack_int n, lapack_int ilo, lapack_int ihi,
+                                const double* lscale, const double* rscale,
+                                lapack_int m, lapack_complex_double* v,
+                                lapack_int ldv );
+
+lapack_int LAPACKE_sggbal_work( int matrix_order, char job, lapack_int n,
+                                float* a, lapack_int lda, float* b,
+                                lapack_int ldb, lapack_int* ilo,
+                                lapack_int* ihi, float* lscale, float* rscale,
+                                float* work );
+lapack_int LAPACKE_dggbal_work( int matrix_order, char job, lapack_int n,
+                                double* a, lapack_int lda, double* b,
+                                lapack_int ldb, lapack_int* ilo,
+                                lapack_int* ihi, double* lscale, double* rscale,
+                                double* work );
+lapack_int LAPACKE_cggbal_work( int matrix_order, char job, lapack_int n,
+                                lapack_complex_float* a, lapack_int lda,
+                                lapack_complex_float* b, lapack_int ldb,
+                                lapack_int* ilo, lapack_int* ihi, float* lscale,
+                                float* rscale, float* work );
+lapack_int LAPACKE_zggbal_work( int matrix_order, char job, lapack_int n,
+                                lapack_complex_double* a, lapack_int lda,
+                                lapack_complex_double* b, lapack_int ldb,
+                                lapack_int* ilo, lapack_int* ihi,
+                                double* lscale, double* rscale, double* work );
+
+lapack_int LAPACKE_sgges_work( int matrix_order, char jobvsl, char jobvsr,
+                               char sort, LAPACK_S_SELECT3 selctg, lapack_int n,
+                               float* a, lapack_int lda, float* b,
+                               lapack_int ldb, lapack_int* sdim, float* alphar,
+                               float* alphai, float* beta, float* vsl,
+                               lapack_int ldvsl, float* vsr, lapack_int ldvsr,
+                               float* work, lapack_int lwork,
+                               lapack_logical* bwork );
+lapack_int LAPACKE_dgges_work( int matrix_order, char jobvsl, char jobvsr,
+                               char sort, LAPACK_D_SELECT3 selctg, lapack_int n,
+                               double* a, lapack_int lda, double* b,
+                               lapack_int ldb, lapack_int* sdim, double* alphar,
+                               double* alphai, double* beta, double* vsl,
+                               lapack_int ldvsl, double* vsr, lapack_int ldvsr,
+                               double* work, lapack_int lwork,
+                               lapack_logical* bwork );
+lapack_int LAPACKE_cgges_work( int matrix_order, char jobvsl, char jobvsr,
+                               char sort, LAPACK_C_SELECT2 selctg, lapack_int n,
+                               lapack_complex_float* a, lapack_int lda,
+                               lapack_complex_float* b, lapack_int ldb,
+                               lapack_int* sdim, lapack_complex_float* alpha,
+                               lapack_complex_float* beta,
+                               lapack_complex_float* vsl, lapack_int ldvsl,
+                               lapack_complex_float* vsr, lapack_int ldvsr,
+                               lapack_complex_float* work, lapack_int lwork,
+                               float* rwork, lapack_logical* bwork );
+lapack_int LAPACKE_zgges_work( int matrix_order, char jobvsl, char jobvsr,
+                               char sort, LAPACK_Z_SELECT2 selctg, lapack_int n,
+                               lapack_complex_double* a, lapack_int lda,
+                               lapack_complex_double* b, lapack_int ldb,
+                               lapack_int* sdim, lapack_complex_double* alpha,
+                               lapack_complex_double* beta,
+                               lapack_complex_double* vsl, lapack_int ldvsl,
+                               lapack_complex_double* vsr, lapack_int ldvsr,
+                               lapack_complex_double* work, lapack_int lwork,
+                               double* rwork, lapack_logical* bwork );
+
+lapack_int LAPACKE_sggesx_work( int matrix_order, char jobvsl, char jobvsr,
+                                char sort, LAPACK_S_SELECT3 selctg, char sense,
+                                lapack_int n, float* a, lapack_int lda,
+                                float* b, lapack_int ldb, lapack_int* sdim,
+                                float* alphar, float* alphai, float* beta,
+                                float* vsl, lapack_int ldvsl, float* vsr,
+                                lapack_int ldvsr, float* rconde, float* rcondv,
+                                float* work, lapack_int lwork,
+                                lapack_int* iwork, lapack_int liwork,
+                                lapack_logical* bwork );
+lapack_int LAPACKE_dggesx_work( int matrix_order, char jobvsl, char jobvsr,
+                                char sort, LAPACK_D_SELECT3 selctg, char sense,
+                                lapack_int n, double* a, lapack_int lda,
+                                double* b, lapack_int ldb, lapack_int* sdim,
+                                double* alphar, double* alphai, double* beta,
+                                double* vsl, lapack_int ldvsl, double* vsr,
+                                lapack_int ldvsr, double* rconde,
+                                double* rcondv, double* work, lapack_int lwork,
+                                lapack_int* iwork, lapack_int liwork,
+                                lapack_logical* bwork );
+lapack_int LAPACKE_cggesx_work( int matrix_order, char jobvsl, char jobvsr,
+                                char sort, LAPACK_C_SELECT2 selctg, char sense,
+                                lapack_int n, lapack_complex_float* a,
+                                lapack_int lda, lapack_complex_float* b,
+                                lapack_int ldb, lapack_int* sdim,
+                                lapack_complex_float* alpha,
+                                lapack_complex_float* beta,
+                                lapack_complex_float* vsl, lapack_int ldvsl,
+                                lapack_complex_float* vsr, lapack_int ldvsr,
+                                float* rconde, float* rcondv,
+                                lapack_complex_float* work, lapack_int lwork,
+                                float* rwork, lapack_int* iwork,
+                                lapack_int liwork, lapack_logical* bwork );
+lapack_int LAPACKE_zggesx_work( int matrix_order, char jobvsl, char jobvsr,
+                                char sort, LAPACK_Z_SELECT2 selctg, char sense,
+                                lapack_int n, lapack_complex_double* a,
+                                lapack_int lda, lapack_complex_double* b,
+                                lapack_int ldb, lapack_int* sdim,
+                                lapack_complex_double* alpha,
+                                lapack_complex_double* beta,
+                                lapack_complex_double* vsl, lapack_int ldvsl,
+                                lapack_complex_double* vsr, lapack_int ldvsr,
+                                double* rconde, double* rcondv,
+                                lapack_complex_double* work, lapack_int lwork,
+                                double* rwork, lapack_int* iwork,
+                                lapack_int liwork, lapack_logical* bwork );
+
+lapack_int LAPACKE_sggev_work( int matrix_order, char jobvl, char jobvr,
+                               lapack_int n, float* a, lapack_int lda, float* b,
+                               lapack_int ldb, float* alphar, float* alphai,
+                               float* beta, float* vl, lapack_int ldvl,
+                               float* vr, lapack_int ldvr, float* work,
+                               lapack_int lwork );
+lapack_int LAPACKE_dggev_work( int matrix_order, char jobvl, char jobvr,
+                               lapack_int n, double* a, lapack_int lda,
+                               double* b, lapack_int ldb, double* alphar,
+                               double* alphai, double* beta, double* vl,
+                               lapack_int ldvl, double* vr, lapack_int ldvr,
+                               double* work, lapack_int lwork );
+lapack_int LAPACKE_cggev_work( int matrix_order, char jobvl, char jobvr,
+                               lapack_int n, lapack_complex_float* a,
+                               lapack_int lda, lapack_complex_float* b,
+                               lapack_int ldb, lapack_complex_float* alpha,
+                               lapack_complex_float* beta,
+                               lapack_complex_float* vl, lapack_int ldvl,
+                               lapack_complex_float* vr, lapack_int ldvr,
+                               lapack_complex_float* work, lapack_int lwork,
+                               float* rwork );
+lapack_int LAPACKE_zggev_work( int matrix_order, char jobvl, char jobvr,
+                               lapack_int n, lapack_complex_double* a,
+                               lapack_int lda, lapack_complex_double* b,
+                               lapack_int ldb, lapack_complex_double* alpha,
+                               lapack_complex_double* beta,
+                               lapack_complex_double* vl, lapack_int ldvl,
+                               lapack_complex_double* vr, lapack_int ldvr,
+                               lapack_complex_double* work, lapack_int lwork,
+                               double* rwork );
+
+lapack_int LAPACKE_sggevx_work( int matrix_order, char balanc, char jobvl,
+                                char jobvr, char sense, lapack_int n, float* a,
+                                lapack_int lda, float* b, lapack_int ldb,
+                                float* alphar, float* alphai, float* beta,
+                                float* vl, lapack_int ldvl, float* vr,
+                                lapack_int ldvr, lapack_int* ilo,
+                                lapack_int* ihi, float* lscale, float* rscale,
+                                float* abnrm, float* bbnrm, float* rconde,
+                                float* rcondv, float* work, lapack_int lwork,
+                                lapack_int* iwork, lapack_logical* bwork );
+lapack_int LAPACKE_dggevx_work( int matrix_order, char balanc, char jobvl,
+                                char jobvr, char sense, lapack_int n, double* a,
+                                lapack_int lda, double* b, lapack_int ldb,
+                                double* alphar, double* alphai, double* beta,
+                                double* vl, lapack_int ldvl, double* vr,
+                                lapack_int ldvr, lapack_int* ilo,
+                                lapack_int* ihi, double* lscale, double* rscale,
+                                double* abnrm, double* bbnrm, double* rconde,
+                                double* rcondv, double* work, lapack_int lwork,
+                                lapack_int* iwork, lapack_logical* bwork );
+lapack_int LAPACKE_cggevx_work( int matrix_order, char balanc, char jobvl,
+                                char jobvr, char sense, lapack_int n,
+                                lapack_complex_float* a, lapack_int lda,
+                                lapack_complex_float* b, lapack_int ldb,
+                                lapack_complex_float* alpha,
+                                lapack_complex_float* beta,
+                                lapack_complex_float* vl, lapack_int ldvl,
+                                lapack_complex_float* vr, lapack_int ldvr,
+                                lapack_int* ilo, lapack_int* ihi, float* lscale,
+                                float* rscale, float* abnrm, float* bbnrm,
+                                float* rconde, float* rcondv,
+                                lapack_complex_float* work, lapack_int lwork,
+                                float* rwork, lapack_int* iwork,
+                                lapack_logical* bwork );
+lapack_int LAPACKE_zggevx_work( int matrix_order, char balanc, char jobvl,
+                                char jobvr, char sense, lapack_int n,
+                                lapack_complex_double* a, lapack_int lda,
+                                lapack_complex_double* b, lapack_int ldb,
+                                lapack_complex_double* alpha,
+                                lapack_complex_double* beta,
+                                lapack_complex_double* vl, lapack_int ldvl,
+                                lapack_complex_double* vr, lapack_int ldvr,
+                                lapack_int* ilo, lapack_int* ihi,
+                                double* lscale, double* rscale, double* abnrm,
+                                double* bbnrm, double* rconde, double* rcondv,
+                                lapack_complex_double* work, lapack_int lwork,
+                                double* rwork, lapack_int* iwork,
+                                lapack_logical* bwork );
+
+lapack_int LAPACKE_sggglm_work( int matrix_order, lapack_int n, lapack_int m,
+                                lapack_int p, float* a, lapack_int lda,
+                                float* b, lapack_int ldb, float* d, float* x,
+                                float* y, float* work, lapack_int lwork );
+lapack_int LAPACKE_dggglm_work( int matrix_order, lapack_int n, lapack_int m,
+                                lapack_int p, double* a, lapack_int lda,
+                                double* b, lapack_int ldb, double* d, double* x,
+                                double* y, double* work, lapack_int lwork );
+lapack_int LAPACKE_cggglm_work( int matrix_order, lapack_int n, lapack_int m,
+                                lapack_int p, lapack_complex_float* a,
+                                lapack_int lda, lapack_complex_float* b,
+                                lapack_int ldb, lapack_complex_float* d,
+                                lapack_complex_float* x,
+                                lapack_complex_float* y,
+                                lapack_complex_float* work, lapack_int lwork );
+lapack_int LAPACKE_zggglm_work( int matrix_order, lapack_int n, lapack_int m,
+                                lapack_int p, lapack_complex_double* a,
+                                lapack_int lda, lapack_complex_double* b,
+                                lapack_int ldb, lapack_complex_double* d,
+                                lapack_complex_double* x,
+                                lapack_complex_double* y,
+                                lapack_complex_double* work, lapack_int lwork );
+
+lapack_int LAPACKE_sgghrd_work( int matrix_order, char compq, char compz,
+                                lapack_int n, lapack_int ilo, lapack_int ihi,
+                                float* a, lapack_int lda, float* b,
+                                lapack_int ldb, float* q, lapack_int ldq,
+                                float* z, lapack_int ldz );
+lapack_int LAPACKE_dgghrd_work( int matrix_order, char compq, char compz,
+                                lapack_int n, lapack_int ilo, lapack_int ihi,
+                                double* a, lapack_int lda, double* b,
+                                lapack_int ldb, double* q, lapack_int ldq,
+                                double* z, lapack_int ldz );
+lapack_int LAPACKE_cgghrd_work( int matrix_order, char compq, char compz,
+                                lapack_int n, lapack_int ilo, lapack_int ihi,
+                                lapack_complex_float* a, lapack_int lda,
+                                lapack_complex_float* b, lapack_int ldb,
+                                lapack_complex_float* q, lapack_int ldq,
+                                lapack_complex_float* z, lapack_int ldz );
+lapack_int LAPACKE_zgghrd_work( int matrix_order, char compq, char compz,
+                                lapack_int n, lapack_int ilo, lapack_int ihi,
+                                lapack_complex_double* a, lapack_int lda,
+                                lapack_complex_double* b, lapack_int ldb,
+                                lapack_complex_double* q, lapack_int ldq,
+                                lapack_complex_double* z, lapack_int ldz );
+
+lapack_int LAPACKE_sgglse_work( int matrix_order, lapack_int m, lapack_int n,
+                                lapack_int p, float* a, lapack_int lda,
+                                float* b, lapack_int ldb, float* c, float* d,
+                                float* x, float* work, lapack_int lwork );
+lapack_int LAPACKE_dgglse_work( int matrix_order, lapack_int m, lapack_int n,
+                                lapack_int p, double* a, lapack_int lda,
+                                double* b, lapack_int ldb, double* c, double* d,
+                                double* x, double* work, lapack_int lwork );
+lapack_int LAPACKE_cgglse_work( int matrix_order, lapack_int m, lapack_int n,
+                                lapack_int p, lapack_complex_float* a,
+                                lapack_int lda, lapack_complex_float* b,
+                                lapack_int ldb, lapack_complex_float* c,
+                                lapack_complex_float* d,
+                                lapack_complex_float* x,
+                                lapack_complex_float* work, lapack_int lwork );
+lapack_int LAPACKE_zgglse_work( int matrix_order, lapack_int m, lapack_int n,
+                                lapack_int p, lapack_complex_double* a,
+                                lapack_int lda, lapack_complex_double* b,
+                                lapack_int ldb, lapack_complex_double* c,
+                                lapack_complex_double* d,
+                                lapack_complex_double* x,
+                                lapack_complex_double* work, lapack_int lwork );
+
+lapack_int LAPACKE_sggqrf_work( int matrix_order, lapack_int n, lapack_int m,
+                                lapack_int p, float* a, lapack_int lda,
+                                float* taua, float* b, lapack_int ldb,
+                                float* taub, float* work, lapack_int lwork );
+lapack_int LAPACKE_dggqrf_work( int matrix_order, lapack_int n, lapack_int m,
+                                lapack_int p, double* a, lapack_int lda,
+                                double* taua, double* b, lapack_int ldb,
+                                double* taub, double* work, lapack_int lwork );
+lapack_int LAPACKE_cggqrf_work( int matrix_order, lapack_int n, lapack_int m,
+                                lapack_int p, lapack_complex_float* a,
+                                lapack_int lda, lapack_complex_float* taua,
+                                lapack_complex_float* b, lapack_int ldb,
+                                lapack_complex_float* taub,
+                                lapack_complex_float* work, lapack_int lwork );
+lapack_int LAPACKE_zggqrf_work( int matrix_order, lapack_int n, lapack_int m,
+                                lapack_int p, lapack_complex_double* a,
+                                lapack_int lda, lapack_complex_double* taua,
+                                lapack_complex_double* b, lapack_int ldb,
+                                lapack_complex_double* taub,
+                                lapack_complex_double* work, lapack_int lwork );
+
+lapack_int LAPACKE_sggrqf_work( int matrix_order, lapack_int m, lapack_int p,
+                                lapack_int n, float* a, lapack_int lda,
+                                float* taua, float* b, lapack_int ldb,
+                                float* taub, float* work, lapack_int lwork );
+lapack_int LAPACKE_dggrqf_work( int matrix_order, lapack_int m, lapack_int p,
+                                lapack_int n, double* a, lapack_int lda,
+                                double* taua, double* b, lapack_int ldb,
+                                double* taub, double* work, lapack_int lwork );
+lapack_int LAPACKE_cggrqf_work( int matrix_order, lapack_int m, lapack_int p,
+                                lapack_int n, lapack_complex_float* a,
+                                lapack_int lda, lapack_complex_float* taua,
+                                lapack_complex_float* b, lapack_int ldb,
+                                lapack_complex_float* taub,
+                                lapack_complex_float* work, lapack_int lwork );
+lapack_int LAPACKE_zggrqf_work( int matrix_order, lapack_int m, lapack_int p,
+                                lapack_int n, lapack_complex_double* a,
+                                lapack_int lda, lapack_complex_double* taua,
+                                lapack_complex_double* b, lapack_int ldb,
+                                lapack_complex_double* taub,
+                                lapack_complex_double* work, lapack_int lwork );
+
+lapack_int LAPACKE_sggsvd_work( int matrix_order, char jobu, char jobv,
+                                char jobq, lapack_int m, lapack_int n,
+                                lapack_int p, lapack_int* k, lapack_int* l,
+                                float* a, lapack_int lda, float* b,
+                                lapack_int ldb, float* alpha, float* beta,
+                                float* u, lapack_int ldu, float* v,
+                                lapack_int ldv, float* q, lapack_int ldq,
+                                float* work, lapack_int* iwork );
+lapack_int LAPACKE_dggsvd_work( int matrix_order, char jobu, char jobv,
+                                char jobq, lapack_int m, lapack_int n,
+                                lapack_int p, lapack_int* k, lapack_int* l,
+                                double* a, lapack_int lda, double* b,
+                                lapack_int ldb, double* alpha, double* beta,
+                                double* u, lapack_int ldu, double* v,
+                                lapack_int ldv, double* q, lapack_int ldq,
+                                double* work, lapack_int* iwork );
+lapack_int LAPACKE_cggsvd_work( int matrix_order, char jobu, char jobv,
+                                char jobq, lapack_int m, lapack_int n,
+                                lapack_int p, lapack_int* k, lapack_int* l,
+                                lapack_complex_float* a, lapack_int lda,
+                                lapack_complex_float* b, lapack_int ldb,
+                                float* alpha, float* beta,
+                                lapack_complex_float* u, lapack_int ldu,
+                                lapack_complex_float* v, lapack_int ldv,
+                                lapack_complex_float* q, lapack_int ldq,
+                                lapack_complex_float* work, float* rwork,
+                                lapack_int* iwork );
+lapack_int LAPACKE_zggsvd_work( int matrix_order, char jobu, char jobv,
+                                char jobq, lapack_int m, lapack_int n,
+                                lapack_int p, lapack_int* k, lapack_int* l,
+                                lapack_complex_double* a, lapack_int lda,
+                                lapack_complex_double* b, lapack_int ldb,
+                                double* alpha, double* beta,
+                                lapack_complex_double* u, lapack_int ldu,
+                                lapack_complex_double* v, lapack_int ldv,
+                                lapack_complex_double* q, lapack_int ldq,
+                                lapack_complex_double* work, double* rwork,
+                                lapack_int* iwork );
+
+lapack_int LAPACKE_sggsvp_work( int matrix_order, char jobu, char jobv,
+                                char jobq, lapack_int m, lapack_int p,
+                                lapack_int n, float* a, lapack_int lda,
+                                float* b, lapack_int ldb, float tola,
+                                float tolb, lapack_int* k, lapack_int* l,
+                                float* u, lapack_int ldu, float* v,
+                                lapack_int ldv, float* q, lapack_int ldq,
+                                lapack_int* iwork, float* tau, float* work );
+lapack_int LAPACKE_dggsvp_work( int matrix_order, char jobu, char jobv,
+                                char jobq, lapack_int m, lapack_int p,
+                                lapack_int n, double* a, lapack_int lda,
+                                double* b, lapack_int ldb, double tola,
+                                double tolb, lapack_int* k, lapack_int* l,
+                                double* u, lapack_int ldu, double* v,
+                                lapack_int ldv, double* q, lapack_int ldq,
+                                lapack_int* iwork, double* tau, double* work );
+lapack_int LAPACKE_cggsvp_work( int matrix_order, char jobu, char jobv,
+                                char jobq, lapack_int m, lapack_int p,
+                                lapack_int n, lapack_complex_float* a,
+                                lapack_int lda, lapack_complex_float* b,
+                                lapack_int ldb, float tola, float tolb,
+                                lapack_int* k, lapack_int* l,
+                                lapack_complex_float* u, lapack_int ldu,
+                                lapack_complex_float* v, lapack_int ldv,
+                                lapack_complex_float* q, lapack_int ldq,
+                                lapack_int* iwork, float* rwork,
+                                lapack_complex_float* tau,
+                                lapack_complex_float* work );
+lapack_int LAPACKE_zggsvp_work( int matrix_order, char jobu, char jobv,
+                                char jobq, lapack_int m, lapack_int p,
+                                lapack_int n, lapack_complex_double* a,
+                                lapack_int lda, lapack_complex_double* b,
+                                lapack_int ldb, double tola, double tolb,
+                                lapack_int* k, lapack_int* l,
+                                lapack_complex_double* u, lapack_int ldu,
+                                lapack_complex_double* v, lapack_int ldv,
+                                lapack_complex_double* q, lapack_int ldq,
+                                lapack_int* iwork, double* rwork,
+                                lapack_complex_double* tau,
+                                lapack_complex_double* work );
+
+lapack_int LAPACKE_sgtcon_work( char norm, lapack_int n, const float* dl,
+                                const float* d, const float* du,
+                                const float* du2, const lapack_int* ipiv,
+                                float anorm, float* rcond, float* work,
+                                lapack_int* iwork );
+lapack_int LAPACKE_dgtcon_work( char norm, lapack_int n, const double* dl,
+                                const double* d, const double* du,
+                                const double* du2, const lapack_int* ipiv,
+                                double anorm, double* rcond, double* work,
+                                lapack_int* iwork );
+lapack_int LAPACKE_cgtcon_work( char norm, lapack_int n,
+                                const lapack_complex_float* dl,
+                                const lapack_complex_float* d,
+                                const lapack_complex_float* du,
+                                const lapack_complex_float* du2,
+                                const lapack_int* ipiv, float anorm,
+                                float* rcond, lapack_complex_float* work );
+lapack_int LAPACKE_zgtcon_work( char norm, lapack_int n,
+                                const lapack_complex_double* dl,
+                                const lapack_complex_double* d,
+                                const lapack_complex_double* du,
+                                const lapack_complex_double* du2,
+                                const lapack_int* ipiv, double anorm,
+                                double* rcond, lapack_complex_double* work );
+
+lapack_int LAPACKE_sgtrfs_work( int matrix_order, char trans, lapack_int n,
+                                lapack_int nrhs, const float* dl,
+                                const float* d, const float* du,
+                                const float* dlf, const float* df,
+                                const float* duf, const float* du2,
+                                const lapack_int* ipiv, const float* b,
+                                lapack_int ldb, float* x, lapack_int ldx,
+                                float* ferr, float* berr, float* work,
+                                lapack_int* iwork );
+lapack_int LAPACKE_dgtrfs_work( int matrix_order, char trans, lapack_int n,
+                                lapack_int nrhs, const double* dl,
+                                const double* d, const double* du,
+                                const double* dlf, const double* df,
+                                const double* duf, const double* du2,
+                                const lapack_int* ipiv, const double* b,
+                                lapack_int ldb, double* x, lapack_int ldx,
+                                double* ferr, double* berr, double* work,
+                                lapack_int* iwork );
+lapack_int LAPACKE_cgtrfs_work( int matrix_order, char trans, lapack_int n,
+                                lapack_int nrhs, const lapack_complex_float* dl,
+                                const lapack_complex_float* d,
+                                const lapack_complex_float* du,
+                                const lapack_complex_float* dlf,
+                                const lapack_complex_float* df,
+                                const lapack_complex_float* duf,
+                                const lapack_complex_float* du2,
+                                const lapack_int* ipiv,
+                                const lapack_complex_float* b, lapack_int ldb,
+                                lapack_complex_float* x, lapack_int ldx,
+                                float* ferr, float* berr,
+                                lapack_complex_float* work, float* rwork );
+lapack_int LAPACKE_zgtrfs_work( int matrix_order, char trans, lapack_int n,
+                                lapack_int nrhs,
+                                const lapack_complex_double* dl,
+                                const lapack_complex_double* d,
+                                const lapack_complex_double* du,
+                                const lapack_complex_double* dlf,
+                                const lapack_complex_double* df,
+                                const lapack_complex_double* duf,
+                                const lapack_complex_double* du2,
+                                const lapack_int* ipiv,
+                                const lapack_complex_double* b, lapack_int ldb,
+                                lapack_complex_double* x, lapack_int ldx,
+                                double* ferr, double* berr,
+                                lapack_complex_double* work, double* rwork );
+
+lapack_int LAPACKE_sgtsv_work( int matrix_order, lapack_int n, lapack_int nrhs,
+                               float* dl, float* d, float* du, float* b,
+                               lapack_int ldb );
+lapack_int LAPACKE_dgtsv_work( int matrix_order, lapack_int n, lapack_int nrhs,
+                               double* dl, double* d, double* du, double* b,
+                               lapack_int ldb );
+lapack_int LAPACKE_cgtsv_work( int matrix_order, lapack_int n, lapack_int nrhs,
+                               lapack_complex_float* dl,
+                               lapack_complex_float* d,
+                               lapack_complex_float* du,
+                               lapack_complex_float* b, lapack_int ldb );
+lapack_int LAPACKE_zgtsv_work( int matrix_order, lapack_int n, lapack_int nrhs,
+                               lapack_complex_double* dl,
+                               lapack_complex_double* d,
+                               lapack_complex_double* du,
+                               lapack_complex_double* b, lapack_int ldb );
+
+lapack_int LAPACKE_sgtsvx_work( int matrix_order, char fact, char trans,
+                                lapack_int n, lapack_int nrhs, const float* dl,
+                                const float* d, const float* du, float* dlf,
+                                float* df, float* duf, float* du2,
+                                lapack_int* ipiv, const float* b,
+                                lapack_int ldb, float* x, lapack_int ldx,
+                                float* rcond, float* ferr, float* berr,
+                                float* work, lapack_int* iwork );
+lapack_int LAPACKE_dgtsvx_work( int matrix_order, char fact, char trans,
+                                lapack_int n, lapack_int nrhs, const double* dl,
+                                const double* d, const double* du, double* dlf,
+                                double* df, double* duf, double* du2,
+                                lapack_int* ipiv, const double* b,
+                                lapack_int ldb, double* x, lapack_int ldx,
+                                double* rcond, double* ferr, double* berr,
+                                double* work, lapack_int* iwork );
+lapack_int LAPACKE_cgtsvx_work( int matrix_order, char fact, char trans,
+                                lapack_int n, lapack_int nrhs,
+                                const lapack_complex_float* dl,
+                                const lapack_complex_float* d,
+                                const lapack_complex_float* du,
+                                lapack_complex_float* dlf,
+                                lapack_complex_float* df,
+                                lapack_complex_float* duf,
+                                lapack_complex_float* du2, lapack_int* ipiv,
+                                const lapack_complex_float* b, lapack_int ldb,
+                                lapack_complex_float* x, lapack_int ldx,
+                                float* rcond, float* ferr, float* berr,
+                                lapack_complex_float* work, float* rwork );
+lapack_int LAPACKE_zgtsvx_work( int matrix_order, char fact, char trans,
+                                lapack_int n, lapack_int nrhs,
+                                const lapack_complex_double* dl,
+                                const lapack_complex_double* d,
+                                const lapack_complex_double* du,
+                                lapack_complex_double* dlf,
+                                lapack_complex_double* df,
+                                lapack_complex_double* duf,
+                                lapack_complex_double* du2, lapack_int* ipiv,
+                                const lapack_complex_double* b, lapack_int ldb,
+                                lapack_complex_double* x, lapack_int ldx,
+                                double* rcond, double* ferr, double* berr,
+                                lapack_complex_double* work, double* rwork );
+
+lapack_int LAPACKE_sgttrf_work( lapack_int n, float* dl, float* d, float* du,
+                                float* du2, lapack_int* ipiv );
+lapack_int LAPACKE_dgttrf_work( lapack_int n, double* dl, double* d, double* du,
+                                double* du2, lapack_int* ipiv );
+lapack_int LAPACKE_cgttrf_work( lapack_int n, lapack_complex_float* dl,
+                                lapack_complex_float* d,
+                                lapack_complex_float* du,
+                                lapack_complex_float* du2, lapack_int* ipiv );
+lapack_int LAPACKE_zgttrf_work( lapack_int n, lapack_complex_double* dl,
+                                lapack_complex_double* d,
+                                lapack_complex_double* du,
+                                lapack_complex_double* du2, lapack_int* ipiv );
+
+lapack_int LAPACKE_sgttrs_work( int matrix_order, char trans, lapack_int n,
+                                lapack_int nrhs, const float* dl,
+                                const float* d, const float* du,
+                                const float* du2, const lapack_int* ipiv,
+                                float* b, lapack_int ldb );
+lapack_int LAPACKE_dgttrs_work( int matrix_order, char trans, lapack_int n,
+                                lapack_int nrhs, const double* dl,
+                                const double* d, const double* du,
+                                const double* du2, const lapack_int* ipiv,
+                                double* b, lapack_int ldb );
+lapack_int LAPACKE_cgttrs_work( int matrix_order, char trans, lapack_int n,
+                                lapack_int nrhs, const lapack_complex_float* dl,
+                                const lapack_complex_float* d,
+                                const lapack_complex_float* du,
+                                const lapack_complex_float* du2,
+                                const lapack_int* ipiv, lapack_complex_float* b,
+                                lapack_int ldb );
+lapack_int LAPACKE_zgttrs_work( int matrix_order, char trans, lapack_int n,
+                                lapack_int nrhs,
+                                const lapack_complex_double* dl,
+                                const lapack_complex_double* d,
+                                const lapack_complex_double* du,
+                                const lapack_complex_double* du2,
+                                const lapack_int* ipiv,
+                                lapack_complex_double* b, lapack_int ldb );
+
+lapack_int LAPACKE_chbev_work( int matrix_order, char jobz, char uplo,
+                               lapack_int n, lapack_int kd,
+                               lapack_complex_float* ab, lapack_int ldab,
+                               float* w, lapack_complex_float* z,
+                               lapack_int ldz, lapack_complex_float* work,
+                               float* rwork );
+lapack_int LAPACKE_zhbev_work( int matrix_order, char jobz, char uplo,
+                               lapack_int n, lapack_int kd,
+                               lapack_complex_double* ab, lapack_int ldab,
+                               double* w, lapack_complex_double* z,
+                               lapack_int ldz, lapack_complex_double* work,
+                               double* rwork );
+
+lapack_int LAPACKE_chbevd_work( int matrix_order, char jobz, char uplo,
+                                lapack_int n, lapack_int kd,
+                                lapack_complex_float* ab, lapack_int ldab,
+                                float* w, lapack_complex_float* z,
+                                lapack_int ldz, lapack_complex_float* work,
+                                lapack_int lwork, float* rwork,
+                                lapack_int lrwork, lapack_int* iwork,
+                                lapack_int liwork );
+lapack_int LAPACKE_zhbevd_work( int matrix_order, char jobz, char uplo,
+                                lapack_int n, lapack_int kd,
+                                lapack_complex_double* ab, lapack_int ldab,
+                                double* w, lapack_complex_double* z,
+                                lapack_int ldz, lapack_complex_double* work,
+                                lapack_int lwork, double* rwork,
+                                lapack_int lrwork, lapack_int* iwork,
+                                lapack_int liwork );
+
+lapack_int LAPACKE_chbevx_work( int matrix_order, char jobz, char range,
+                                char uplo, lapack_int n, lapack_int kd,
+                                lapack_complex_float* ab, lapack_int ldab,
+                                lapack_complex_float* q, lapack_int ldq,
+                                float vl, float vu, lapack_int il,
+                                lapack_int iu, float abstol, lapack_int* m,
+                                float* w, lapack_complex_float* z,
+                                lapack_int ldz, lapack_complex_float* work,
+                                float* rwork, lapack_int* iwork,
+                                lapack_int* ifail );
+lapack_int LAPACKE_zhbevx_work( int matrix_order, char jobz, char range,
+                                char uplo, lapack_int n, lapack_int kd,
+                                lapack_complex_double* ab, lapack_int ldab,
+                                lapack_complex_double* q, lapack_int ldq,
+                                double vl, double vu, lapack_int il,
+                                lapack_int iu, double abstol, lapack_int* m,
+                                double* w, lapack_complex_double* z,
+                                lapack_int ldz, lapack_complex_double* work,
+                                double* rwork, lapack_int* iwork,
+                                lapack_int* ifail );
+
+lapack_int LAPACKE_chbgst_work( int matrix_order, char vect, char uplo,
+                                lapack_int n, lapack_int ka, lapack_int kb,
+                                lapack_complex_float* ab, lapack_int ldab,
+                                const lapack_complex_float* bb, lapack_int ldbb,
+                                lapack_complex_float* x, lapack_int ldx,
+                                lapack_complex_float* work, float* rwork );
+lapack_int LAPACKE_zhbgst_work( int matrix_order, char vect, char uplo,
+                                lapack_int n, lapack_int ka, lapack_int kb,
+                                lapack_complex_double* ab, lapack_int ldab,
+                                const lapack_complex_double* bb,
+                                lapack_int ldbb, lapack_complex_double* x,
+                                lapack_int ldx, lapack_complex_double* work,
+                                double* rwork );
+
+lapack_int LAPACKE_chbgv_work( int matrix_order, char jobz, char uplo,
+                               lapack_int n, lapack_int ka, lapack_int kb,
+                               lapack_complex_float* ab, lapack_int ldab,
+                               lapack_complex_float* bb, lapack_int ldbb,
+                               float* w, lapack_complex_float* z,
+                               lapack_int ldz, lapack_complex_float* work,
+                               float* rwork );
+lapack_int LAPACKE_zhbgv_work( int matrix_order, char jobz, char uplo,
+                               lapack_int n, lapack_int ka, lapack_int kb,
+                               lapack_complex_double* ab, lapack_int ldab,
+                               lapack_complex_double* bb, lapack_int ldbb,
+                               double* w, lapack_complex_double* z,
+                               lapack_int ldz, lapack_complex_double* work,
+                               double* rwork );
+
+lapack_int LAPACKE_chbgvd_work( int matrix_order, char jobz, char uplo,
+                                lapack_int n, lapack_int ka, lapack_int kb,
+                                lapack_complex_float* ab, lapack_int ldab,
+                                lapack_complex_float* bb, lapack_int ldbb,
+                                float* w, lapack_complex_float* z,
+                                lapack_int ldz, lapack_complex_float* work,
+                                lapack_int lwork, float* rwork,
+                                lapack_int lrwork, lapack_int* iwork,
+                                lapack_int liwork );
+lapack_int LAPACKE_zhbgvd_work( int matrix_order, char jobz, char uplo,
+                                lapack_int n, lapack_int ka, lapack_int kb,
+                                lapack_complex_double* ab, lapack_int ldab,
+                                lapack_complex_double* bb, lapack_int ldbb,
+                                double* w, lapack_complex_double* z,
+                                lapack_int ldz, lapack_complex_double* work,
+                                lapack_int lwork, double* rwork,
+                                lapack_int lrwork, lapack_int* iwork,
+                                lapack_int liwork );
+
+lapack_int LAPACKE_chbgvx_work( int matrix_order, char jobz, char range,
+                                char uplo, lapack_int n, lapack_int ka,
+                                lapack_int kb, lapack_complex_float* ab,
+                                lapack_int ldab, lapack_complex_float* bb,
+                                lapack_int ldbb, lapack_complex_float* q,
+                                lapack_int ldq, float vl, float vu,
+                                lapack_int il, lapack_int iu, float abstol,
+                                lapack_int* m, float* w,
+                                lapack_complex_float* z, lapack_int ldz,
+                                lapack_complex_float* work, float* rwork,
+                                lapack_int* iwork, lapack_int* ifail );
+lapack_int LAPACKE_zhbgvx_work( int matrix_order, char jobz, char range,
+                                char uplo, lapack_int n, lapack_int ka,
+                                lapack_int kb, lapack_complex_double* ab,
+                                lapack_int ldab, lapack_complex_double* bb,
+                                lapack_int ldbb, lapack_complex_double* q,
+                                lapack_int ldq, double vl, double vu,
+                                lapack_int il, lapack_int iu, double abstol,
+                                lapack_int* m, double* w,
+                                lapack_complex_double* z, lapack_int ldz,
+                                lapack_complex_double* work, double* rwork,
+                                lapack_int* iwork, lapack_int* ifail );
+
+lapack_int LAPACKE_chbtrd_work( int matrix_order, char vect, char uplo,
+                                lapack_int n, lapack_int kd,
+                                lapack_complex_float* ab, lapack_int ldab,
+                                float* d, float* e, lapack_complex_float* q,
+                                lapack_int ldq, lapack_complex_float* work );
+lapack_int LAPACKE_zhbtrd_work( int matrix_order, char vect, char uplo,
+                                lapack_int n, lapack_int kd,
+                                lapack_complex_double* ab, lapack_int ldab,
+                                double* d, double* e, lapack_complex_double* q,
+                                lapack_int ldq, lapack_complex_double* work );
+
+lapack_int LAPACKE_checon_work( int matrix_order, char uplo, lapack_int n,
+                                const lapack_complex_float* a, lapack_int lda,
+                                const lapack_int* ipiv, float anorm,
+                                float* rcond, lapack_complex_float* work );
+lapack_int LAPACKE_zhecon_work( int matrix_order, char uplo, lapack_int n,
+                                const lapack_complex_double* a, lapack_int lda,
+                                const lapack_int* ipiv, double anorm,
+                                double* rcond, lapack_complex_double* work );
+
+lapack_int LAPACKE_cheequb_work( int matrix_order, char uplo, lapack_int n,
+                                 const lapack_complex_float* a, lapack_int lda,
+                                 float* s, float* scond, float* amax,
+                                 lapack_complex_float* work );
+lapack_int LAPACKE_zheequb_work( int matrix_order, char uplo, lapack_int n,
+                                 const lapack_complex_double* a, lapack_int lda,
+                                 double* s, double* scond, double* amax,
+                                 lapack_complex_double* work );
+
+lapack_int LAPACKE_cheev_work( int matrix_order, char jobz, char uplo,
+                               lapack_int n, lapack_complex_float* a,
+                               lapack_int lda, float* w,
+                               lapack_complex_float* work, lapack_int lwork,
+                               float* rwork );
+lapack_int LAPACKE_zheev_work( int matrix_order, char jobz, char uplo,
+                               lapack_int n, lapack_complex_double* a,
+                               lapack_int lda, double* w,
+                               lapack_complex_double* work, lapack_int lwork,
+                               double* rwork );
+
+lapack_int LAPACKE_cheevd_work( int matrix_order, char jobz, char uplo,
+                                lapack_int n, lapack_complex_float* a,
+                                lapack_int lda, float* w,
+                                lapack_complex_float* work, lapack_int lwork,
+                                float* rwork, lapack_int lrwork,
+                                lapack_int* iwork, lapack_int liwork );
+lapack_int LAPACKE_zheevd_work( int matrix_order, char jobz, char uplo,
+                                lapack_int n, lapack_complex_double* a,
+                                lapack_int lda, double* w,
+                                lapack_complex_double* work, lapack_int lwork,
+                                double* rwork, lapack_int lrwork,
+                                lapack_int* iwork, lapack_int liwork );
+
+lapack_int LAPACKE_cheevr_work( int matrix_order, char jobz, char range,
+                                char uplo, lapack_int n,
+                                lapack_complex_float* a, lapack_int lda,
+                                float vl, float vu, lapack_int il,
+                                lapack_int iu, float abstol, lapack_int* m,
+                                float* w, lapack_complex_float* z,
+                                lapack_int ldz, lapack_int* isuppz,
+                                lapack_complex_float* work, lapack_int lwork,
+                                float* rwork, lapack_int lrwork,
+                                lapack_int* iwork, lapack_int liwork );
+lapack_int LAPACKE_zheevr_work( int matrix_order, char jobz, char range,
+                                char uplo, lapack_int n,
+                                lapack_complex_double* a, lapack_int lda,
+                                double vl, double vu, lapack_int il,
+                                lapack_int iu, double abstol, lapack_int* m,
+                                double* w, lapack_complex_double* z,
+                                lapack_int ldz, lapack_int* isuppz,
+                                lapack_complex_double* work, lapack_int lwork,
+                                double* rwork, lapack_int lrwork,
+                                lapack_int* iwork, lapack_int liwork );
+
+lapack_int LAPACKE_cheevx_work( int matrix_order, char jobz, char range,
+                                char uplo, lapack_int n,
+                                lapack_complex_float* a, lapack_int lda,
+                                float vl, float vu, lapack_int il,
+                                lapack_int iu, float abstol, lapack_int* m,
+                                float* w, lapack_complex_float* z,
+                                lapack_int ldz, lapack_complex_float* work,
+                                lapack_int lwork, float* rwork,
+                                lapack_int* iwork, lapack_int* ifail );
+lapack_int LAPACKE_zheevx_work( int matrix_order, char jobz, char range,
+                                char uplo, lapack_int n,
+                                lapack_complex_double* a, lapack_int lda,
+                                double vl, double vu, lapack_int il,
+                                lapack_int iu, double abstol, lapack_int* m,
+                                double* w, lapack_complex_double* z,
+                                lapack_int ldz, lapack_complex_double* work,
+                                lapack_int lwork, double* rwork,
+                                lapack_int* iwork, lapack_int* ifail );
+
+lapack_int LAPACKE_chegst_work( int matrix_order, lapack_int itype, char uplo,
+                                lapack_int n, lapack_complex_float* a,
+                                lapack_int lda, const lapack_complex_float* b,
+                                lapack_int ldb );
+lapack_int LAPACKE_zhegst_work( int matrix_order, lapack_int itype, char uplo,
+                                lapack_int n, lapack_complex_double* a,
+                                lapack_int lda, const lapack_complex_double* b,
+                                lapack_int ldb );
+
+lapack_int LAPACKE_chegv_work( int matrix_order, lapack_int itype, char jobz,
+                               char uplo, lapack_int n, lapack_complex_float* a,
+                               lapack_int lda, lapack_complex_float* b,
+                               lapack_int ldb, float* w,
+                               lapack_complex_float* work, lapack_int lwork,
+                               float* rwork );
+lapack_int LAPACKE_zhegv_work( int matrix_order, lapack_int itype, char jobz,
+                               char uplo, lapack_int n,
+                               lapack_complex_double* a, lapack_int lda,
+                               lapack_complex_double* b, lapack_int ldb,
+                               double* w, lapack_complex_double* work,
+                               lapack_int lwork, double* rwork );
+
+lapack_int LAPACKE_chegvd_work( int matrix_order, lapack_int itype, char jobz,
+                                char uplo, lapack_int n,
+                                lapack_complex_float* a, lapack_int lda,
+                                lapack_complex_float* b, lapack_int ldb,
+                                float* w, lapack_complex_float* work,
+                                lapack_int lwork, float* rwork,
+                                lapack_int lrwork, lapack_int* iwork,
+                                lapack_int liwork );
+lapack_int LAPACKE_zhegvd_work( int matrix_order, lapack_int itype, char jobz,
+                                char uplo, lapack_int n,
+                                lapack_complex_double* a, lapack_int lda,
+                                lapack_complex_double* b, lapack_int ldb,
+                                double* w, lapack_complex_double* work,
+                                lapack_int lwork, double* rwork,
+                                lapack_int lrwork, lapack_int* iwork,
+                                lapack_int liwork );
+
+lapack_int LAPACKE_chegvx_work( int matrix_order, lapack_int itype, char jobz,
+                                char range, char uplo, lapack_int n,
+                                lapack_complex_float* a, lapack_int lda,
+                                lapack_complex_float* b, lapack_int ldb,
+                                float vl, float vu, lapack_int il,
+                                lapack_int iu, float abstol, lapack_int* m,
+                                float* w, lapack_complex_float* z,
+                                lapack_int ldz, lapack_complex_float* work,
+                                lapack_int lwork, float* rwork,
+                                lapack_int* iwork, lapack_int* ifail );
+lapack_int LAPACKE_zhegvx_work( int matrix_order, lapack_int itype, char jobz,
+                                char range, char uplo, lapack_int n,
+                                lapack_complex_double* a, lapack_int lda,
+                                lapack_complex_double* b, lapack_int ldb,
+                                double vl, double vu, lapack_int il,
+                                lapack_int iu, double abstol, lapack_int* m,
+                                double* w, lapack_complex_double* z,
+                                lapack_int ldz, lapack_complex_double* work,
+                                lapack_int lwork, double* rwork,
+                                lapack_int* iwork, lapack_int* ifail );
+
+lapack_int LAPACKE_cherfs_work( int matrix_order, char uplo, lapack_int n,
+                                lapack_int nrhs, const lapack_complex_float* a,
+                                lapack_int lda, const lapack_complex_float* af,
+                                lapack_int ldaf, const lapack_int* ipiv,
+                                const lapack_complex_float* b, lapack_int ldb,
+                                lapack_complex_float* x, lapack_int ldx,
+                                float* ferr, float* berr,
+                                lapack_complex_float* work, float* rwork );
+lapack_int LAPACKE_zherfs_work( int matrix_order, char uplo, lapack_int n,
+                                lapack_int nrhs, const lapack_complex_double* a,
+                                lapack_int lda, const lapack_complex_double* af,
+                                lapack_int ldaf, const lapack_int* ipiv,
+                                const lapack_complex_double* b, lapack_int ldb,
+                                lapack_complex_double* x, lapack_int ldx,
+                                double* ferr, double* berr,
+                                lapack_complex_double* work, double* rwork );
+
+lapack_int LAPACKE_cherfsx_work( int matrix_order, char uplo, char equed,
+                                 lapack_int n, lapack_int nrhs,
+                                 const lapack_complex_float* a, lapack_int lda,
+                                 const lapack_complex_float* af,
+                                 lapack_int ldaf, const lapack_int* ipiv,
+                                 const float* s, const lapack_complex_float* b,
+                                 lapack_int ldb, lapack_complex_float* x,
+                                 lapack_int ldx, float* rcond, float* berr,
+                                 lapack_int n_err_bnds, float* err_bnds_norm,
+                                 float* err_bnds_comp, lapack_int nparams,
+                                 float* params, lapack_complex_float* work,
+                                 float* rwork );
+lapack_int LAPACKE_zherfsx_work( int matrix_order, char uplo, char equed,
+                                 lapack_int n, lapack_int nrhs,
+                                 const lapack_complex_double* a, lapack_int lda,
+                                 const lapack_complex_double* af,
+                                 lapack_int ldaf, const lapack_int* ipiv,
+                                 const double* s,
+                                 const lapack_complex_double* b, lapack_int ldb,
+                                 lapack_complex_double* x, lapack_int ldx,
+                                 double* rcond, double* berr,
+                                 lapack_int n_err_bnds, double* err_bnds_norm,
+                                 double* err_bnds_comp, lapack_int nparams,
+                                 double* params, lapack_complex_double* work,
+                                 double* rwork );
+
+lapack_int LAPACKE_chesv_work( int matrix_order, char uplo, lapack_int n,
+                               lapack_int nrhs, lapack_complex_float* a,
+                               lapack_int lda, lapack_int* ipiv,
+                               lapack_complex_float* b, lapack_int ldb,
+                               lapack_complex_float* work, lapack_int lwork );
+lapack_int LAPACKE_zhesv_work( int matrix_order, char uplo, lapack_int n,
+                               lapack_int nrhs, lapack_complex_double* a,
+                               lapack_int lda, lapack_int* ipiv,
+                               lapack_complex_double* b, lapack_int ldb,
+                               lapack_complex_double* work, lapack_int lwork );
+
+lapack_int LAPACKE_chesvx_work( int matrix_order, char fact, char uplo,
+                                lapack_int n, lapack_int nrhs,
+                                const lapack_complex_float* a, lapack_int lda,
+                                lapack_complex_float* af, lapack_int ldaf,
+                                lapack_int* ipiv, const lapack_complex_float* b,
+                                lapack_int ldb, lapack_complex_float* x,
+                                lapack_int ldx, float* rcond, float* ferr,
+                                float* berr, lapack_complex_float* work,
+                                lapack_int lwork, float* rwork );
+lapack_int LAPACKE_zhesvx_work( int matrix_order, char fact, char uplo,
+                                lapack_int n, lapack_int nrhs,
+                                const lapack_complex_double* a, lapack_int lda,
+                                lapack_complex_double* af, lapack_int ldaf,
+                                lapack_int* ipiv,
+                                const lapack_complex_double* b, lapack_int ldb,
+                                lapack_complex_double* x, lapack_int ldx,
+                                double* rcond, double* ferr, double* berr,
+                                lapack_complex_double* work, lapack_int lwork,
+                                double* rwork );
+
+lapack_int LAPACKE_chesvxx_work( int matrix_order, char fact, char uplo,
+                                 lapack_int n, lapack_int nrhs,
+                                 lapack_complex_float* a, lapack_int lda,
+                                 lapack_complex_float* af, lapack_int ldaf,
+                                 lapack_int* ipiv, char* equed, float* s,
+                                 lapack_complex_float* b, lapack_int ldb,
+                                 lapack_complex_float* x, lapack_int ldx,
+                                 float* rcond, float* rpvgrw, float* berr,
+                                 lapack_int n_err_bnds, float* err_bnds_norm,
+                                 float* err_bnds_comp, lapack_int nparams,
+                                 float* params, lapack_complex_float* work,
+                                 float* rwork );
+lapack_int LAPACKE_zhesvxx_work( int matrix_order, char fact, char uplo,
+                                 lapack_int n, lapack_int nrhs,
+                                 lapack_complex_double* a, lapack_int lda,
+                                 lapack_complex_double* af, lapack_int ldaf,
+                                 lapack_int* ipiv, char* equed, double* s,
+                                 lapack_complex_double* b, lapack_int ldb,
+                                 lapack_complex_double* x, lapack_int ldx,
+                                 double* rcond, double* rpvgrw, double* berr,
+                                 lapack_int n_err_bnds, double* err_bnds_norm,
+                                 double* err_bnds_comp, lapack_int nparams,
+                                 double* params, lapack_complex_double* work,
+                                 double* rwork );
+
+lapack_int LAPACKE_chetrd_work( int matrix_order, char uplo, lapack_int n,
+                                lapack_complex_float* a, lapack_int lda,
+                                float* d, float* e, lapack_complex_float* tau,
+                                lapack_complex_float* work, lapack_int lwork );
+lapack_int LAPACKE_zhetrd_work( int matrix_order, char uplo, lapack_int n,
+                                lapack_complex_double* a, lapack_int lda,
+                                double* d, double* e,
+                                lapack_complex_double* tau,
+                                lapack_complex_double* work, lapack_int lwork );
+
+lapack_int LAPACKE_chetrf_work( int matrix_order, char uplo, lapack_int n,
+                                lapack_complex_float* a, lapack_int lda,
+                                lapack_int* ipiv, lapack_complex_float* work,
+                                lapack_int lwork );
+lapack_int LAPACKE_zhetrf_work( int matrix_order, char uplo, lapack_int n,
+                                lapack_complex_double* a, lapack_int lda,
+                                lapack_int* ipiv, lapack_complex_double* work,
+                                lapack_int lwork );
+
+lapack_int LAPACKE_chetri_work( int matrix_order, char uplo, lapack_int n,
+                                lapack_complex_float* a, lapack_int lda,
+                                const lapack_int* ipiv,
+                                lapack_complex_float* work );
+lapack_int LAPACKE_zhetri_work( int matrix_order, char uplo, lapack_int n,
+                                lapack_complex_double* a, lapack_int lda,
+                                const lapack_int* ipiv,
+                                lapack_complex_double* work );
+
+lapack_int LAPACKE_chetrs_work( int matrix_order, char uplo, lapack_int n,
+                                lapack_int nrhs, const lapack_complex_float* a,
+                                lapack_int lda, const lapack_int* ipiv,
+                                lapack_complex_float* b, lapack_int ldb );
+lapack_int LAPACKE_zhetrs_work( int matrix_order, char uplo, lapack_int n,
+                                lapack_int nrhs, const lapack_complex_double* a,
+                                lapack_int lda, const lapack_int* ipiv,
+                                lapack_complex_double* b, lapack_int ldb );
+
+lapack_int LAPACKE_chfrk_work( int matrix_order, char transr, char uplo,
+                               char trans, lapack_int n, lapack_int k,
+                               float alpha, const lapack_complex_float* a,
+                               lapack_int lda, float beta,
+                               lapack_complex_float* c );
+lapack_int LAPACKE_zhfrk_work( int matrix_order, char transr, char uplo,
+                               char trans, lapack_int n, lapack_int k,
+                               double alpha, const lapack_complex_double* a,
+                               lapack_int lda, double beta,
+                               lapack_complex_double* c );
+
+lapack_int LAPACKE_shgeqz_work( int matrix_order, char job, char compq,
+                                char compz, lapack_int n, lapack_int ilo,
+                                lapack_int ihi, float* h, lapack_int ldh,
+                                float* t, lapack_int ldt, float* alphar,
+                                float* alphai, float* beta, float* q,
+                                lapack_int ldq, float* z, lapack_int ldz,
+                                float* work, lapack_int lwork );
+lapack_int LAPACKE_dhgeqz_work( int matrix_order, char job, char compq,
+                                char compz, lapack_int n, lapack_int ilo,
+                                lapack_int ihi, double* h, lapack_int ldh,
+                                double* t, lapack_int ldt, double* alphar,
+                                double* alphai, double* beta, double* q,
+                                lapack_int ldq, double* z, lapack_int ldz,
+                                double* work, lapack_int lwork );
+lapack_int LAPACKE_chgeqz_work( int matrix_order, char job, char compq,
+                                char compz, lapack_int n, lapack_int ilo,
+                                lapack_int ihi, lapack_complex_float* h,
+                                lapack_int ldh, lapack_complex_float* t,
+                                lapack_int ldt, lapack_complex_float* alpha,
+                                lapack_complex_float* beta,
+                                lapack_complex_float* q, lapack_int ldq,
+                                lapack_complex_float* z, lapack_int ldz,
+                                lapack_complex_float* work, lapack_int lwork,
+                                float* rwork );
+lapack_int LAPACKE_zhgeqz_work( int matrix_order, char job, char compq,
+                                char compz, lapack_int n, lapack_int ilo,
+                                lapack_int ihi, lapack_complex_double* h,
+                                lapack_int ldh, lapack_complex_double* t,
+                                lapack_int ldt, lapack_complex_double* alpha,
+                                lapack_complex_double* beta,
+                                lapack_complex_double* q, lapack_int ldq,
+                                lapack_complex_double* z, lapack_int ldz,
+                                lapack_complex_double* work, lapack_int lwork,
+                                double* rwork );
+
+lapack_int LAPACKE_chpcon_work( int matrix_order, char uplo, lapack_int n,
+                                const lapack_complex_float* ap,
+                                const lapack_int* ipiv, float anorm,
+                                float* rcond, lapack_complex_float* work );
+lapack_int LAPACKE_zhpcon_work( int matrix_order, char uplo, lapack_int n,
+                                const lapack_complex_double* ap,
+                                const lapack_int* ipiv, double anorm,
+                                double* rcond, lapack_complex_double* work );
+
+lapack_int LAPACKE_chpev_work( int matrix_order, char jobz, char uplo,
+                               lapack_int n, lapack_complex_float* ap, float* w,
+                               lapack_complex_float* z, lapack_int ldz,
+                               lapack_complex_float* work, float* rwork );
+lapack_int LAPACKE_zhpev_work( int matrix_order, char jobz, char uplo,
+                               lapack_int n, lapack_complex_double* ap,
+                               double* w, lapack_complex_double* z,
+                               lapack_int ldz, lapack_complex_double* work,
+                               double* rwork );
+
+lapack_int LAPACKE_chpevd_work( int matrix_order, char jobz, char uplo,
+                                lapack_int n, lapack_complex_float* ap,
+                                float* w, lapack_complex_float* z,
+                                lapack_int ldz, lapack_complex_float* work,
+                                lapack_int lwork, float* rwork,
+                                lapack_int lrwork, lapack_int* iwork,
+                                lapack_int liwork );
+lapack_int LAPACKE_zhpevd_work( int matrix_order, char jobz, char uplo,
+                                lapack_int n, lapack_complex_double* ap,
+                                double* w, lapack_complex_double* z,
+                                lapack_int ldz, lapack_complex_double* work,
+                                lapack_int lwork, double* rwork,
+                                lapack_int lrwork, lapack_int* iwork,
+                                lapack_int liwork );
+
+lapack_int LAPACKE_chpevx_work( int matrix_order, char jobz, char range,
+                                char uplo, lapack_int n,
+                                lapack_complex_float* ap, float vl, float vu,
+                                lapack_int il, lapack_int iu, float abstol,
+                                lapack_int* m, float* w,
+                                lapack_complex_float* z, lapack_int ldz,
+                                lapack_complex_float* work, float* rwork,
+                                lapack_int* iwork, lapack_int* ifail );
+lapack_int LAPACKE_zhpevx_work( int matrix_order, char jobz, char range,
+                                char uplo, lapack_int n,
+                                lapack_complex_double* ap, double vl, double vu,
+                                lapack_int il, lapack_int iu, double abstol,
+                                lapack_int* m, double* w,
+                                lapack_complex_double* z, lapack_int ldz,
+                                lapack_complex_double* work, double* rwork,
+                                lapack_int* iwork, lapack_int* ifail );
+
+lapack_int LAPACKE_chpgst_work( int matrix_order, lapack_int itype, char uplo,
+                                lapack_int n, lapack_complex_float* ap,
+                                const lapack_complex_float* bp );
+lapack_int LAPACKE_zhpgst_work( int matrix_order, lapack_int itype, char uplo,
+                                lapack_int n, lapack_complex_double* ap,
+                                const lapack_complex_double* bp );
+
+lapack_int LAPACKE_chpgv_work( int matrix_order, lapack_int itype, char jobz,
+                               char uplo, lapack_int n,
+                               lapack_complex_float* ap,
+                               lapack_complex_float* bp, float* w,
+                               lapack_complex_float* z, lapack_int ldz,
+                               lapack_complex_float* work, float* rwork );
+lapack_int LAPACKE_zhpgv_work( int matrix_order, lapack_int itype, char jobz,
+                               char uplo, lapack_int n,
+                               lapack_complex_double* ap,
+                               lapack_complex_double* bp, double* w,
+                               lapack_complex_double* z, lapack_int ldz,
+                               lapack_complex_double* work, double* rwork );
+
+lapack_int LAPACKE_chpgvd_work( int matrix_order, lapack_int itype, char jobz,
+                                char uplo, lapack_int n,
+                                lapack_complex_float* ap,
+                                lapack_complex_float* bp, float* w,
+                                lapack_complex_float* z, lapack_int ldz,
+                                lapack_complex_float* work, lapack_int lwork,
+                                float* rwork, lapack_int lrwork,
+                                lapack_int* iwork, lapack_int liwork );
+lapack_int LAPACKE_zhpgvd_work( int matrix_order, lapack_int itype, char jobz,
+                                char uplo, lapack_int n,
+                                lapack_complex_double* ap,
+                                lapack_complex_double* bp, double* w,
+                                lapack_complex_double* z, lapack_int ldz,
+                                lapack_complex_double* work, lapack_int lwork,
+                                double* rwork, lapack_int lrwork,
+                                lapack_int* iwork, lapack_int liwork );
+
+lapack_int LAPACKE_chpgvx_work( int matrix_order, lapack_int itype, char jobz,
+                                char range, char uplo, lapack_int n,
+                                lapack_complex_float* ap,
+                                lapack_complex_float* bp, float vl, float vu,
+                                lapack_int il, lapack_int iu, float abstol,
+                                lapack_int* m, float* w,
+                                lapack_complex_float* z, lapack_int ldz,
+                                lapack_complex_float* work, float* rwork,
+                                lapack_int* iwork, lapack_int* ifail );
+lapack_int LAPACKE_zhpgvx_work( int matrix_order, lapack_int itype, char jobz,
+                                char range, char uplo, lapack_int n,
+                                lapack_complex_double* ap,
+                                lapack_complex_double* bp, double vl, double vu,
+                                lapack_int il, lapack_int iu, double abstol,
+                                lapack_int* m, double* w,
+                                lapack_complex_double* z, lapack_int ldz,
+                                lapack_complex_double* work, double* rwork,
+                                lapack_int* iwork, lapack_int* ifail );
+
+lapack_int LAPACKE_chprfs_work( int matrix_order, char uplo, lapack_int n,
+                                lapack_int nrhs, const lapack_complex_float* ap,
+                                const lapack_complex_float* afp,
+                                const lapack_int* ipiv,
+                                const lapack_complex_float* b, lapack_int ldb,
+                                lapack_complex_float* x, lapack_int ldx,
+                                float* ferr, float* berr,
+                                lapack_complex_float* work, float* rwork );
+lapack_int LAPACKE_zhprfs_work( int matrix_order, char uplo, lapack_int n,
+                                lapack_int nrhs,
+                                const lapack_complex_double* ap,
+                                const lapack_complex_double* afp,
+                                const lapack_int* ipiv,
+                                const lapack_complex_double* b, lapack_int ldb,
+                                lapack_complex_double* x, lapack_int ldx,
+                                double* ferr, double* berr,
+                                lapack_complex_double* work, double* rwork );
+
+lapack_int LAPACKE_chpsv_work( int matrix_order, char uplo, lapack_int n,
+                               lapack_int nrhs, lapack_complex_float* ap,
+                               lapack_int* ipiv, lapack_complex_float* b,
+                               lapack_int ldb );
+lapack_int LAPACKE_zhpsv_work( int matrix_order, char uplo, lapack_int n,
+                               lapack_int nrhs, lapack_complex_double* ap,
+                               lapack_int* ipiv, lapack_complex_double* b,
+                               lapack_int ldb );
+
+lapack_int LAPACKE_chpsvx_work( int matrix_order, char fact, char uplo,
+                                lapack_int n, lapack_int nrhs,
+                                const lapack_complex_float* ap,
+                                lapack_complex_float* afp, lapack_int* ipiv,
+                                const lapack_complex_float* b, lapack_int ldb,
+                                lapack_complex_float* x, lapack_int ldx,
+                                float* rcond, float* ferr, float* berr,
+                                lapack_complex_float* work, float* rwork );
+lapack_int LAPACKE_zhpsvx_work( int matrix_order, char fact, char uplo,
+                                lapack_int n, lapack_int nrhs,
+                                const lapack_complex_double* ap,
+                                lapack_complex_double* afp, lapack_int* ipiv,
+                                const lapack_complex_double* b, lapack_int ldb,
+                                lapack_complex_double* x, lapack_int ldx,
+                                double* rcond, double* ferr, double* berr,
+                                lapack_complex_double* work, double* rwork );
+
+lapack_int LAPACKE_chptrd_work( int matrix_order, char uplo, lapack_int n,
+                                lapack_complex_float* ap, float* d, float* e,
+                                lapack_complex_float* tau );
+lapack_int LAPACKE_zhptrd_work( int matrix_order, char uplo, lapack_int n,
+                                lapack_complex_double* ap, double* d, double* e,
+                                lapack_complex_double* tau );
+
+lapack_int LAPACKE_chptrf_work( int matrix_order, char uplo, lapack_int n,
+                                lapack_complex_float* ap, lapack_int* ipiv );
+lapack_int LAPACKE_zhptrf_work( int matrix_order, char uplo, lapack_int n,
+                                lapack_complex_double* ap, lapack_int* ipiv );
+
+lapack_int LAPACKE_chptri_work( int matrix_order, char uplo, lapack_int n,
+                                lapack_complex_float* ap,
+                                const lapack_int* ipiv,
+                                lapack_complex_float* work );
+lapack_int LAPACKE_zhptri_work( int matrix_order, char uplo, lapack_int n,
+                                lapack_complex_double* ap,
+                                const lapack_int* ipiv,
+                                lapack_complex_double* work );
+
+lapack_int LAPACKE_chptrs_work( int matrix_order, char uplo, lapack_int n,
+                                lapack_int nrhs, const lapack_complex_float* ap,
+                                const lapack_int* ipiv, lapack_complex_float* b,
+                                lapack_int ldb );
+lapack_int LAPACKE_zhptrs_work( int matrix_order, char uplo, lapack_int n,
+                                lapack_int nrhs,
+                                const lapack_complex_double* ap,
+                                const lapack_int* ipiv,
+                                lapack_complex_double* b, lapack_int ldb );
+
+lapack_int LAPACKE_shsein_work( int matrix_order, char job, char eigsrc,
+                                char initv, lapack_logical* select,
+                                lapack_int n, const float* h, lapack_int ldh,
+                                float* wr, const float* wi, float* vl,
+                                lapack_int ldvl, float* vr, lapack_int ldvr,
+                                lapack_int mm, lapack_int* m, float* work,
+                                lapack_int* ifaill, lapack_int* ifailr );
+lapack_int LAPACKE_dhsein_work( int matrix_order, char job, char eigsrc,
+                                char initv, lapack_logical* select,
+                                lapack_int n, const double* h, lapack_int ldh,
+                                double* wr, const double* wi, double* vl,
+                                lapack_int ldvl, double* vr, lapack_int ldvr,
+                                lapack_int mm, lapack_int* m, double* work,
+                                lapack_int* ifaill, lapack_int* ifailr );
+lapack_int LAPACKE_chsein_work( int matrix_order, char job, char eigsrc,
+                                char initv, const lapack_logical* select,
+                                lapack_int n, const lapack_complex_float* h,
+                                lapack_int ldh, lapack_complex_float* w,
+                                lapack_complex_float* vl, lapack_int ldvl,
+                                lapack_complex_float* vr, lapack_int ldvr,
+                                lapack_int mm, lapack_int* m,
+                                lapack_complex_float* work, float* rwork,
+                                lapack_int* ifaill, lapack_int* ifailr );
+lapack_int LAPACKE_zhsein_work( int matrix_order, char job, char eigsrc,
+                                char initv, const lapack_logical* select,
+                                lapack_int n, const lapack_complex_double* h,
+                                lapack_int ldh, lapack_complex_double* w,
+                                lapack_complex_double* vl, lapack_int ldvl,
+                                lapack_complex_double* vr, lapack_int ldvr,
+                                lapack_int mm, lapack_int* m,
+                                lapack_complex_double* work, double* rwork,
+                                lapack_int* ifaill, lapack_int* ifailr );
+
+lapack_int LAPACKE_shseqr_work( int matrix_order, char job, char compz,
+                                lapack_int n, lapack_int ilo, lapack_int ihi,
+                                float* h, lapack_int ldh, float* wr, float* wi,
+                                float* z, lapack_int ldz, float* work,
+                                lapack_int lwork );
+lapack_int LAPACKE_dhseqr_work( int matrix_order, char job, char compz,
+                                lapack_int n, lapack_int ilo, lapack_int ihi,
+                                double* h, lapack_int ldh, double* wr,
+                                double* wi, double* z, lapack_int ldz,
+                                double* work, lapack_int lwork );
+lapack_int LAPACKE_chseqr_work( int matrix_order, char job, char compz,
+                                lapack_int n, lapack_int ilo, lapack_int ihi,
+                                lapack_complex_float* h, lapack_int ldh,
+                                lapack_complex_float* w,
+                                lapack_complex_float* z, lapack_int ldz,
+                                lapack_complex_float* work, lapack_int lwork );
+lapack_int LAPACKE_zhseqr_work( int matrix_order, char job, char compz,
+                                lapack_int n, lapack_int ilo, lapack_int ihi,
+                                lapack_complex_double* h, lapack_int ldh,
+                                lapack_complex_double* w,
+                                lapack_complex_double* z, lapack_int ldz,
+                                lapack_complex_double* work, lapack_int lwork );
+
+lapack_int LAPACKE_clacgv_work( lapack_int n, lapack_complex_float* x,
+                                lapack_int incx );
+lapack_int LAPACKE_zlacgv_work( lapack_int n, lapack_complex_double* x,
+                                lapack_int incx );
+
+lapack_int LAPACKE_slacpy_work( int matrix_order, char uplo, lapack_int m,
+                                lapack_int n, const float* a, lapack_int lda,
+                                float* b, lapack_int ldb );
+lapack_int LAPACKE_dlacpy_work( int matrix_order, char uplo, lapack_int m,
+                                lapack_int n, const double* a, lapack_int lda,
+                                double* b, lapack_int ldb );
+lapack_int LAPACKE_clacpy_work( int matrix_order, char uplo, lapack_int m,
+                                lapack_int n, const lapack_complex_float* a,
+                                lapack_int lda, lapack_complex_float* b,
+                                lapack_int ldb );
+lapack_int LAPACKE_zlacpy_work( int matrix_order, char uplo, lapack_int m,
+                                lapack_int n, const lapack_complex_double* a,
+                                lapack_int lda, lapack_complex_double* b,
+                                lapack_int ldb );
+
+lapack_int LAPACKE_zlag2c_work( int matrix_order, lapack_int m, lapack_int n,
+                                const lapack_complex_double* a, lapack_int lda,
+                                lapack_complex_float* sa, lapack_int ldsa );
+
+lapack_int LAPACKE_slag2d_work( int matrix_order, lapack_int m, lapack_int n,
+                                const float* sa, lapack_int ldsa, double* a,
+                                lapack_int lda );
+
+lapack_int LAPACKE_dlag2s_work( int matrix_order, lapack_int m, lapack_int n,
+                                const double* a, lapack_int lda, float* sa,
+                                lapack_int ldsa );
+
+lapack_int LAPACKE_clag2z_work( int matrix_order, lapack_int m, lapack_int n,
+                                const lapack_complex_float* sa, lapack_int ldsa,
+                                lapack_complex_double* a, lapack_int lda );
+
+lapack_int LAPACKE_slagge_work( int matrix_order, lapack_int m, lapack_int n,
+                                lapack_int kl, lapack_int ku, const float* d,
+                                float* a, lapack_int lda, lapack_int* iseed,
+                                float* work );
+lapack_int LAPACKE_dlagge_work( int matrix_order, lapack_int m, lapack_int n,
+                                lapack_int kl, lapack_int ku, const double* d,
+                                double* a, lapack_int lda, lapack_int* iseed,
+                                double* work );
+lapack_int LAPACKE_clagge_work( int matrix_order, lapack_int m, lapack_int n,
+                                lapack_int kl, lapack_int ku, const float* d,
+                                lapack_complex_float* a, lapack_int lda,
+                                lapack_int* iseed, lapack_complex_float* work );
+lapack_int LAPACKE_zlagge_work( int matrix_order, lapack_int m, lapack_int n,
+                                lapack_int kl, lapack_int ku, const double* d,
+                                lapack_complex_double* a, lapack_int lda,
+                                lapack_int* iseed,
+                                lapack_complex_double* work );
+                                
+lapack_int LAPACKE_claghe_work( int matrix_order, lapack_int n, lapack_int k,
+                                const float* d, lapack_complex_float* a,
+                                lapack_int lda, lapack_int* iseed,
+                                lapack_complex_float* work );
+lapack_int LAPACKE_zlaghe_work( int matrix_order, lapack_int n, lapack_int k,
+                                const double* d, lapack_complex_double* a,
+                                lapack_int lda, lapack_int* iseed,
+                                lapack_complex_double* work );
+
+lapack_int LAPACKE_slagsy_work( int matrix_order, lapack_int n, lapack_int k,
+                                const float* d, float* a, lapack_int lda,
+                                lapack_int* iseed, float* work );
+lapack_int LAPACKE_dlagsy_work( int matrix_order, lapack_int n, lapack_int k,
+                                const double* d, double* a, lapack_int lda,
+                                lapack_int* iseed, double* work );
+lapack_int LAPACKE_clagsy_work( int matrix_order, lapack_int n, lapack_int k,
+                                const float* d, lapack_complex_float* a,
+                                lapack_int lda, lapack_int* iseed,
+                                lapack_complex_float* work );
+lapack_int LAPACKE_zlagsy_work( int matrix_order, lapack_int n, lapack_int k,
+                                const double* d, lapack_complex_double* a,
+                                lapack_int lda, lapack_int* iseed,
+                                lapack_complex_double* work );
+
+lapack_int LAPACKE_slapmr_work( int matrix_order, lapack_logical forwrd,
+                                lapack_int m, lapack_int n, float* x,
+                                lapack_int ldx, lapack_int* k );
+lapack_int LAPACKE_dlapmr_work( int matrix_order, lapack_logical forwrd,
+                                lapack_int m, lapack_int n, double* x,
+                                lapack_int ldx, lapack_int* k );
+lapack_int LAPACKE_clapmr_work( int matrix_order, lapack_logical forwrd,
+                                lapack_int m, lapack_int n,
+                                lapack_complex_float* x, lapack_int ldx,
+                                lapack_int* k );
+lapack_int LAPACKE_zlapmr_work( int matrix_order, lapack_logical forwrd,
+                                lapack_int m, lapack_int n,
+                                lapack_complex_double* x, lapack_int ldx,
+                                lapack_int* k );
+
+lapack_int LAPACKE_slartgp_work( float f, float g, float* cs, float* sn,
+                                 float* r );
+lapack_int LAPACKE_dlartgp_work( double f, double g, double* cs, double* sn,
+                                 double* r );
+
+lapack_int LAPACKE_slartgs_work( float x, float y, float sigma, float* cs,
+                                 float* sn );
+lapack_int LAPACKE_dlartgs_work( double x, double y, double sigma, double* cs,
+                                 double* sn );
+                                
+float LAPACKE_slapy2_work( float x, float y );
+double LAPACKE_dlapy2_work( double x, double y );
+
+float LAPACKE_slapy3_work( float x, float y, float z );
+double LAPACKE_dlapy3_work( double x, double y, double z );
+
+float LAPACKE_slamch_work( char cmach );
+double LAPACKE_dlamch_work( char cmach );
+
+float LAPACKE_slange_work( int matrix_order, char norm, lapack_int m,
+                                lapack_int n, const float* a, lapack_int lda,
+                                float* work );
+double LAPACKE_dlange_work( int matrix_order, char norm, lapack_int m,
+                                lapack_int n, const double* a, lapack_int lda,
+                                double* work );
+float LAPACKE_clange_work( int matrix_order, char norm, lapack_int m,
+                                lapack_int n, const lapack_complex_float* a,
+                                lapack_int lda, float* work );
+double LAPACKE_zlange_work( int matrix_order, char norm, lapack_int m,
+                                lapack_int n, const lapack_complex_double* a,
+                                lapack_int lda, double* work );
+
+float LAPACKE_clanhe_work( int matrix_order, char norm, char uplo,
+                                lapack_int n, const lapack_complex_float* a,
+                                lapack_int lda, float* work );
+double LAPACKE_zlanhe_work( int matrix_order, char norm, char uplo,
+                                lapack_int n, const lapack_complex_double* a,
+                                lapack_int lda, double* work );
+
+float LAPACKE_slansy_work( int matrix_order, char norm, char uplo,
+                                lapack_int n, const float* a, lapack_int lda,
+                                float* work );
+double LAPACKE_dlansy_work( int matrix_order, char norm, char uplo,
+                                lapack_int n, const double* a, lapack_int lda,
+                                double* work );
+float LAPACKE_clansy_work( int matrix_order, char norm, char uplo,
+                                lapack_int n, const lapack_complex_float* a,
+                                lapack_int lda, float* work );
+double LAPACKE_zlansy_work( int matrix_order, char norm, char uplo,
+                                lapack_int n, const lapack_complex_double* a,
+                                lapack_int lda, double* work );
+
+float LAPACKE_slantr_work( int matrix_order, char norm, char uplo,
+                                char diag, lapack_int m, lapack_int n, const float* a,
+                                lapack_int lda, float* work );
+double LAPACKE_dlantr_work( int matrix_order, char norm, char uplo,
+                                char diag, lapack_int m, lapack_int n,
+                                const double* a, lapack_int lda, double* work );
+float LAPACKE_clantr_work( int matrix_order, char norm, char uplo,
+                                char diag, lapack_int m, lapack_int n,
+                                const lapack_complex_float* a, lapack_int lda,
+                                float* work );
+double LAPACKE_zlantr_work( int matrix_order, char norm, char uplo,
+                                char diag, lapack_int m, lapack_int n,
+                                const lapack_complex_double* a, lapack_int lda,
+                                double* work );
+
+lapack_int LAPACKE_slarfb_work( int matrix_order, char side, char trans,
+                                char direct, char storev, lapack_int m,
+                                lapack_int n, lapack_int k, const float* v,
+                                lapack_int ldv, const float* t, lapack_int ldt,
+                                float* c, lapack_int ldc, float* work,
+                                lapack_int ldwork );
+lapack_int LAPACKE_dlarfb_work( int matrix_order, char side, char trans,
+                                char direct, char storev, lapack_int m,
+                                lapack_int n, lapack_int k, const double* v,
+                                lapack_int ldv, const double* t, lapack_int ldt,
+                                double* c, lapack_int ldc, double* work,
+                                lapack_int ldwork );
+lapack_int LAPACKE_clarfb_work( int matrix_order, char side, char trans,
+                                char direct, char storev, lapack_int m,
+                                lapack_int n, lapack_int k,
+                                const lapack_complex_float* v, lapack_int ldv,
+                                const lapack_complex_float* t, lapack_int ldt,
+                                lapack_complex_float* c, lapack_int ldc,
+                                lapack_complex_float* work, lapack_int ldwork );
+lapack_int LAPACKE_zlarfb_work( int matrix_order, char side, char trans,
+                                char direct, char storev, lapack_int m,
+                                lapack_int n, lapack_int k,
+                                const lapack_complex_double* v, lapack_int ldv,
+                                const lapack_complex_double* t, lapack_int ldt,
+                                lapack_complex_double* c, lapack_int ldc,
+                                lapack_complex_double* work,
+                                lapack_int ldwork );
+
+lapack_int LAPACKE_slarfg_work( lapack_int n, float* alpha, float* x,
+                                lapack_int incx, float* tau );
+lapack_int LAPACKE_dlarfg_work( lapack_int n, double* alpha, double* x,
+                                lapack_int incx, double* tau );
+lapack_int LAPACKE_clarfg_work( lapack_int n, lapack_complex_float* alpha,
+                                lapack_complex_float* x, lapack_int incx,
+                                lapack_complex_float* tau );
+lapack_int LAPACKE_zlarfg_work( lapack_int n, lapack_complex_double* alpha,
+                                lapack_complex_double* x, lapack_int incx,
+                                lapack_complex_double* tau );
+
+lapack_int LAPACKE_slarft_work( int matrix_order, char direct, char storev,
+                                lapack_int n, lapack_int k, const float* v,
+                                lapack_int ldv, const float* tau, float* t,
+                                lapack_int ldt );
+lapack_int LAPACKE_dlarft_work( int matrix_order, char direct, char storev,
+                                lapack_int n, lapack_int k, const double* v,
+                                lapack_int ldv, const double* tau, double* t,
+                                lapack_int ldt );
+lapack_int LAPACKE_clarft_work( int matrix_order, char direct, char storev,
+                                lapack_int n, lapack_int k,
+                                const lapack_complex_float* v, lapack_int ldv,
+                                const lapack_complex_float* tau,
+                                lapack_complex_float* t, lapack_int ldt );
+lapack_int LAPACKE_zlarft_work( int matrix_order, char direct, char storev,
+                                lapack_int n, lapack_int k,
+                                const lapack_complex_double* v, lapack_int ldv,
+                                const lapack_complex_double* tau,
+                                lapack_complex_double* t, lapack_int ldt );
+
+lapack_int LAPACKE_slarfx_work( int matrix_order, char side, lapack_int m,
+                                lapack_int n, const float* v, float tau,
+                                float* c, lapack_int ldc, float* work );
+lapack_int LAPACKE_dlarfx_work( int matrix_order, char side, lapack_int m,
+                                lapack_int n, const double* v, double tau,
+                                double* c, lapack_int ldc, double* work );
+lapack_int LAPACKE_clarfx_work( int matrix_order, char side, lapack_int m,
+                                lapack_int n, const lapack_complex_float* v,
+                                lapack_complex_float tau,
+                                lapack_complex_float* c, lapack_int ldc,
+                                lapack_complex_float* work );
+lapack_int LAPACKE_zlarfx_work( int matrix_order, char side, lapack_int m,
+                                lapack_int n, const lapack_complex_double* v,
+                                lapack_complex_double tau,
+                                lapack_complex_double* c, lapack_int ldc,
+                                lapack_complex_double* work );
+
+lapack_int LAPACKE_slarnv_work( lapack_int idist, lapack_int* iseed,
+                                lapack_int n, float* x );
+lapack_int LAPACKE_dlarnv_work( lapack_int idist, lapack_int* iseed,
+                                lapack_int n, double* x );
+lapack_int LAPACKE_clarnv_work( lapack_int idist, lapack_int* iseed,
+                                lapack_int n, lapack_complex_float* x );
+lapack_int LAPACKE_zlarnv_work( lapack_int idist, lapack_int* iseed,
+                                lapack_int n, lapack_complex_double* x );
+
+lapack_int LAPACKE_slaset_work( int matrix_order, char uplo, lapack_int m,
+                                lapack_int n, float alpha, float beta, float* a,
+                                lapack_int lda );
+lapack_int LAPACKE_dlaset_work( int matrix_order, char uplo, lapack_int m,
+                                lapack_int n, double alpha, double beta,
+                                double* a, lapack_int lda );
+lapack_int LAPACKE_claset_work( int matrix_order, char uplo, lapack_int m,
+                                lapack_int n, lapack_complex_float alpha,
+                                lapack_complex_float beta,
+                                lapack_complex_float* a, lapack_int lda );
+lapack_int LAPACKE_zlaset_work( int matrix_order, char uplo, lapack_int m,
+                                lapack_int n, lapack_complex_double alpha,
+                                lapack_complex_double beta,
+                                lapack_complex_double* a, lapack_int lda );
+
+lapack_int LAPACKE_slasrt_work( char id, lapack_int n, float* d );
+lapack_int LAPACKE_dlasrt_work( char id, lapack_int n, double* d );
+
+lapack_int LAPACKE_slaswp_work( int matrix_order, lapack_int n, float* a,
+                                lapack_int lda, lapack_int k1, lapack_int k2,
+                                const lapack_int* ipiv, lapack_int incx );
+lapack_int LAPACKE_dlaswp_work( int matrix_order, lapack_int n, double* a,
+                                lapack_int lda, lapack_int k1, lapack_int k2,
+                                const lapack_int* ipiv, lapack_int incx );
+lapack_int LAPACKE_claswp_work( int matrix_order, lapack_int n,
+                                lapack_complex_float* a, lapack_int lda,
+                                lapack_int k1, lapack_int k2,
+                                const lapack_int* ipiv, lapack_int incx );
+lapack_int LAPACKE_zlaswp_work( int matrix_order, lapack_int n,
+                                lapack_complex_double* a, lapack_int lda,
+                                lapack_int k1, lapack_int k2,
+                                const lapack_int* ipiv, lapack_int incx );
+
+lapack_int LAPACKE_slatms_work( int matrix_order, lapack_int m, lapack_int n,
+                                char dist, lapack_int* iseed, char sym,
+                                float* d, lapack_int mode, float cond,
+                                float dmax, lapack_int kl, lapack_int ku,
+                                char pack, float* a, lapack_int lda,
+                                float* work );
+lapack_int LAPACKE_dlatms_work( int matrix_order, lapack_int m, lapack_int n,
+                                char dist, lapack_int* iseed, char sym,
+                                double* d, lapack_int mode, double cond,
+                                double dmax, lapack_int kl, lapack_int ku,
+                                char pack, double* a, lapack_int lda,
+                                double* work );
+lapack_int LAPACKE_clatms_work( int matrix_order, lapack_int m, lapack_int n,
+                                char dist, lapack_int* iseed, char sym,
+                                float* d, lapack_int mode, float cond,
+                                float dmax, lapack_int kl, lapack_int ku,
+                                char pack, lapack_complex_float* a,
+                                lapack_int lda, lapack_complex_float* work );
+lapack_int LAPACKE_zlatms_work( int matrix_order, lapack_int m, lapack_int n,
+                                char dist, lapack_int* iseed, char sym,
+                                double* d, lapack_int mode, double cond,
+                                double dmax, lapack_int kl, lapack_int ku,
+                                char pack, lapack_complex_double* a,
+                                lapack_int lda, lapack_complex_double* work );
+
+lapack_int LAPACKE_slauum_work( int matrix_order, char uplo, lapack_int n,
+                                float* a, lapack_int lda );
+lapack_int LAPACKE_dlauum_work( int matrix_order, char uplo, lapack_int n,
+                                double* a, lapack_int lda );
+lapack_int LAPACKE_clauum_work( int matrix_order, char uplo, lapack_int n,
+                                lapack_complex_float* a, lapack_int lda );
+lapack_int LAPACKE_zlauum_work( int matrix_order, char uplo, lapack_int n,
+                                lapack_complex_double* a, lapack_int lda );
+
+lapack_int LAPACKE_sopgtr_work( int matrix_order, char uplo, lapack_int n,
+                                const float* ap, const float* tau, float* q,
+                                lapack_int ldq, float* work );
+lapack_int LAPACKE_dopgtr_work( int matrix_order, char uplo, lapack_int n,
+                                const double* ap, const double* tau, double* q,
+                                lapack_int ldq, double* work );
+
+lapack_int LAPACKE_sopmtr_work( int matrix_order, char side, char uplo,
+                                char trans, lapack_int m, lapack_int n,
+                                const float* ap, const float* tau, float* c,
+                                lapack_int ldc, float* work );
+lapack_int LAPACKE_dopmtr_work( int matrix_order, char side, char uplo,
+                                char trans, lapack_int m, lapack_int n,
+                                const double* ap, const double* tau, double* c,
+                                lapack_int ldc, double* work );
+
+lapack_int LAPACKE_sorgbr_work( int matrix_order, char vect, lapack_int m,
+                                lapack_int n, lapack_int k, float* a,
+                                lapack_int lda, const float* tau, float* work,
+                                lapack_int lwork );
+lapack_int LAPACKE_dorgbr_work( int matrix_order, char vect, lapack_int m,
+                                lapack_int n, lapack_int k, double* a,
+                                lapack_int lda, const double* tau, double* work,
+                                lapack_int lwork );
+
+lapack_int LAPACKE_sorghr_work( int matrix_order, lapack_int n, lapack_int ilo,
+                                lapack_int ihi, float* a, lapack_int lda,
+                                const float* tau, float* work,
+                                lapack_int lwork );
+lapack_int LAPACKE_dorghr_work( int matrix_order, lapack_int n, lapack_int ilo,
+                                lapack_int ihi, double* a, lapack_int lda,
+                                const double* tau, double* work,
+                                lapack_int lwork );
+
+lapack_int LAPACKE_sorglq_work( int matrix_order, lapack_int m, lapack_int n,
+                                lapack_int k, float* a, lapack_int lda,
+                                const float* tau, float* work,
+                                lapack_int lwork );
+lapack_int LAPACKE_dorglq_work( int matrix_order, lapack_int m, lapack_int n,
+                                lapack_int k, double* a, lapack_int lda,
+                                const double* tau, double* work,
+                                lapack_int lwork );
+
+lapack_int LAPACKE_sorgql_work( int matrix_order, lapack_int m, lapack_int n,
+                                lapack_int k, float* a, lapack_int lda,
+                                const float* tau, float* work,
+                                lapack_int lwork );
+lapack_int LAPACKE_dorgql_work( int matrix_order, lapack_int m, lapack_int n,
+                                lapack_int k, double* a, lapack_int lda,
+                                const double* tau, double* work,
+                                lapack_int lwork );
+
+lapack_int LAPACKE_sorgqr_work( int matrix_order, lapack_int m, lapack_int n,
+                                lapack_int k, float* a, lapack_int lda,
+                                const float* tau, float* work,
+                                lapack_int lwork );
+lapack_int LAPACKE_dorgqr_work( int matrix_order, lapack_int m, lapack_int n,
+                                lapack_int k, double* a, lapack_int lda,
+                                const double* tau, double* work,
+                                lapack_int lwork );
+
+lapack_int LAPACKE_sorgrq_work( int matrix_order, lapack_int m, lapack_int n,
+                                lapack_int k, float* a, lapack_int lda,
+                                const float* tau, float* work,
+                                lapack_int lwork );
+lapack_int LAPACKE_dorgrq_work( int matrix_order, lapack_int m, lapack_int n,
+                                lapack_int k, double* a, lapack_int lda,
+                                const double* tau, double* work,
+                                lapack_int lwork );
+
+lapack_int LAPACKE_sorgtr_work( int matrix_order, char uplo, lapack_int n,
+                                float* a, lapack_int lda, const float* tau,
+                                float* work, lapack_int lwork );
+lapack_int LAPACKE_dorgtr_work( int matrix_order, char uplo, lapack_int n,
+                                double* a, lapack_int lda, const double* tau,
+                                double* work, lapack_int lwork );
+
+lapack_int LAPACKE_sormbr_work( int matrix_order, char vect, char side,
+                                char trans, lapack_int m, lapack_int n,
+                                lapack_int k, const float* a, lapack_int lda,
+                                const float* tau, float* c, lapack_int ldc,
+                                float* work, lapack_int lwork );
+lapack_int LAPACKE_dormbr_work( int matrix_order, char vect, char side,
+                                char trans, lapack_int m, lapack_int n,
+                                lapack_int k, const double* a, lapack_int lda,
+                                const double* tau, double* c, lapack_int ldc,
+                                double* work, lapack_int lwork );
+
+lapack_int LAPACKE_sormhr_work( int matrix_order, char side, char trans,
+                                lapack_int m, lapack_int n, lapack_int ilo,
+                                lapack_int ihi, const float* a, lapack_int lda,
+                                const float* tau, float* c, lapack_int ldc,
+                                float* work, lapack_int lwork );
+lapack_int LAPACKE_dormhr_work( int matrix_order, char side, char trans,
+                                lapack_int m, lapack_int n, lapack_int ilo,
+                                lapack_int ihi, const double* a, lapack_int lda,
+                                const double* tau, double* c, lapack_int ldc,
+                                double* work, lapack_int lwork );
+
+lapack_int LAPACKE_sormlq_work( int matrix_order, char side, char trans,
+                                lapack_int m, lapack_int n, lapack_int k,
+                                const float* a, lapack_int lda,
+                                const float* tau, float* c, lapack_int ldc,
+                                float* work, lapack_int lwork );
+lapack_int LAPACKE_dormlq_work( int matrix_order, char side, char trans,
+                                lapack_int m, lapack_int n, lapack_int k,
+                                const double* a, lapack_int lda,
+                                const double* tau, double* c, lapack_int ldc,
+                                double* work, lapack_int lwork );
+
+lapack_int LAPACKE_sormql_work( int matrix_order, char side, char trans,
+                                lapack_int m, lapack_int n, lapack_int k,
+                                const float* a, lapack_int lda,
+                                const float* tau, float* c, lapack_int ldc,
+                                float* work, lapack_int lwork );
+lapack_int LAPACKE_dormql_work( int matrix_order, char side, char trans,
+                                lapack_int m, lapack_int n, lapack_int k,
+                                const double* a, lapack_int lda,
+                                const double* tau, double* c, lapack_int ldc,
+                                double* work, lapack_int lwork );
+
+lapack_int LAPACKE_sormqr_work( int matrix_order, char side, char trans,
+                                lapack_int m, lapack_int n, lapack_int k,
+                                const float* a, lapack_int lda,
+                                const float* tau, float* c, lapack_int ldc,
+                                float* work, lapack_int lwork );
+lapack_int LAPACKE_dormqr_work( int matrix_order, char side, char trans,
+                                lapack_int m, lapack_int n, lapack_int k,
+                                const double* a, lapack_int lda,
+                                const double* tau, double* c, lapack_int ldc,
+                                double* work, lapack_int lwork );
+
+lapack_int LAPACKE_sormrq_work( int matrix_order, char side, char trans,
+                                lapack_int m, lapack_int n, lapack_int k,
+                                const float* a, lapack_int lda,
+                                const float* tau, float* c, lapack_int ldc,
+                                float* work, lapack_int lwork );
+lapack_int LAPACKE_dormrq_work( int matrix_order, char side, char trans,
+                                lapack_int m, lapack_int n, lapack_int k,
+                                const double* a, lapack_int lda,
+                                const double* tau, double* c, lapack_int ldc,
+                                double* work, lapack_int lwork );
+
+lapack_int LAPACKE_sormrz_work( int matrix_order, char side, char trans,
+                                lapack_int m, lapack_int n, lapack_int k,
+                                lapack_int l, const float* a, lapack_int lda,
+                                const float* tau, float* c, lapack_int ldc,
+                                float* work, lapack_int lwork );
+lapack_int LAPACKE_dormrz_work( int matrix_order, char side, char trans,
+                                lapack_int m, lapack_int n, lapack_int k,
+                                lapack_int l, const double* a, lapack_int lda,
+                                const double* tau, double* c, lapack_int ldc,
+                                double* work, lapack_int lwork );
+
+lapack_int LAPACKE_sormtr_work( int matrix_order, char side, char uplo,
+                                char trans, lapack_int m, lapack_int n,
+                                const float* a, lapack_int lda,
+                                const float* tau, float* c, lapack_int ldc,
+                                float* work, lapack_int lwork );
+lapack_int LAPACKE_dormtr_work( int matrix_order, char side, char uplo,
+                                char trans, lapack_int m, lapack_int n,
+                                const double* a, lapack_int lda,
+                                const double* tau, double* c, lapack_int ldc,
+                                double* work, lapack_int lwork );
+
+lapack_int LAPACKE_spbcon_work( int matrix_order, char uplo, lapack_int n,
+                                lapack_int kd, const float* ab, lapack_int ldab,
+                                float anorm, float* rcond, float* work,
+                                lapack_int* iwork );
+lapack_int LAPACKE_dpbcon_work( int matrix_order, char uplo, lapack_int n,
+                                lapack_int kd, const double* ab,
+                                lapack_int ldab, double anorm, double* rcond,
+                                double* work, lapack_int* iwork );
+lapack_int LAPACKE_cpbcon_work( int matrix_order, char uplo, lapack_int n,
+                                lapack_int kd, const lapack_complex_float* ab,
+                                lapack_int ldab, float anorm, float* rcond,
+                                lapack_complex_float* work, float* rwork );
+lapack_int LAPACKE_zpbcon_work( int matrix_order, char uplo, lapack_int n,
+                                lapack_int kd, const lapack_complex_double* ab,
+                                lapack_int ldab, double anorm, double* rcond,
+                                lapack_complex_double* work, double* rwork );
+
+lapack_int LAPACKE_spbequ_work( int matrix_order, char uplo, lapack_int n,
+                                lapack_int kd, const float* ab, lapack_int ldab,
+                                float* s, float* scond, float* amax );
+lapack_int LAPACKE_dpbequ_work( int matrix_order, char uplo, lapack_int n,
+                                lapack_int kd, const double* ab,
+                                lapack_int ldab, double* s, double* scond,
+                                double* amax );
+lapack_int LAPACKE_cpbequ_work( int matrix_order, char uplo, lapack_int n,
+                                lapack_int kd, const lapack_complex_float* ab,
+                                lapack_int ldab, float* s, float* scond,
+                                float* amax );
+lapack_int LAPACKE_zpbequ_work( int matrix_order, char uplo, lapack_int n,
+                                lapack_int kd, const lapack_complex_double* ab,
+                                lapack_int ldab, double* s, double* scond,
+                                double* amax );
+
+lapack_int LAPACKE_spbrfs_work( int matrix_order, char uplo, lapack_int n,
+                                lapack_int kd, lapack_int nrhs, const float* ab,
+                                lapack_int ldab, const float* afb,
+                                lapack_int ldafb, const float* b,
+                                lapack_int ldb, float* x, lapack_int ldx,
+                                float* ferr, float* berr, float* work,
+                                lapack_int* iwork );
+lapack_int LAPACKE_dpbrfs_work( int matrix_order, char uplo, lapack_int n,
+                                lapack_int kd, lapack_int nrhs,
+                                const double* ab, lapack_int ldab,
+                                const double* afb, lapack_int ldafb,
+                                const double* b, lapack_int ldb, double* x,
+                                lapack_int ldx, double* ferr, double* berr,
+                                double* work, lapack_int* iwork );
+lapack_int LAPACKE_cpbrfs_work( int matrix_order, char uplo, lapack_int n,
+                                lapack_int kd, lapack_int nrhs,
+                                const lapack_complex_float* ab, lapack_int ldab,
+                                const lapack_complex_float* afb,
+                                lapack_int ldafb, const lapack_complex_float* b,
+                                lapack_int ldb, lapack_complex_float* x,
+                                lapack_int ldx, float* ferr, float* berr,
+                                lapack_complex_float* work, float* rwork );
+lapack_int LAPACKE_zpbrfs_work( int matrix_order, char uplo, lapack_int n,
+                                lapack_int kd, lapack_int nrhs,
+                                const lapack_complex_double* ab,
+                                lapack_int ldab,
+                                const lapack_complex_double* afb,
+                                lapack_int ldafb,
+                                const lapack_complex_double* b, lapack_int ldb,
+                                lapack_complex_double* x, lapack_int ldx,
+                                double* ferr, double* berr,
+                                lapack_complex_double* work, double* rwork );
+
+lapack_int LAPACKE_spbstf_work( int matrix_order, char uplo, lapack_int n,
+                                lapack_int kb, float* bb, lapack_int ldbb );
+lapack_int LAPACKE_dpbstf_work( int matrix_order, char uplo, lapack_int n,
+                                lapack_int kb, double* bb, lapack_int ldbb );
+lapack_int LAPACKE_cpbstf_work( int matrix_order, char uplo, lapack_int n,
+                                lapack_int kb, lapack_complex_float* bb,
+                                lapack_int ldbb );
+lapack_int LAPACKE_zpbstf_work( int matrix_order, char uplo, lapack_int n,
+                                lapack_int kb, lapack_complex_double* bb,
+                                lapack_int ldbb );
+
+lapack_int LAPACKE_spbsv_work( int matrix_order, char uplo, lapack_int n,
+                               lapack_int kd, lapack_int nrhs, float* ab,
+                               lapack_int ldab, float* b, lapack_int ldb );
+lapack_int LAPACKE_dpbsv_work( int matrix_order, char uplo, lapack_int n,
+                               lapack_int kd, lapack_int nrhs, double* ab,
+                               lapack_int ldab, double* b, lapack_int ldb );
+lapack_int LAPACKE_cpbsv_work( int matrix_order, char uplo, lapack_int n,
+                               lapack_int kd, lapack_int nrhs,
+                               lapack_complex_float* ab, lapack_int ldab,
+                               lapack_complex_float* b, lapack_int ldb );
+lapack_int LAPACKE_zpbsv_work( int matrix_order, char uplo, lapack_int n,
+                               lapack_int kd, lapack_int nrhs,
+                               lapack_complex_double* ab, lapack_int ldab,
+                               lapack_complex_double* b, lapack_int ldb );
+
+lapack_int LAPACKE_spbsvx_work( int matrix_order, char fact, char uplo,
+                                lapack_int n, lapack_int kd, lapack_int nrhs,
+                                float* ab, lapack_int ldab, float* afb,
+                                lapack_int ldafb, char* equed, float* s,
+                                float* b, lapack_int ldb, float* x,
+                                lapack_int ldx, float* rcond, float* ferr,
+                                float* berr, float* work, lapack_int* iwork );
+lapack_int LAPACKE_dpbsvx_work( int matrix_order, char fact, char uplo,
+                                lapack_int n, lapack_int kd, lapack_int nrhs,
+                                double* ab, lapack_int ldab, double* afb,
+                                lapack_int ldafb, char* equed, double* s,
+                                double* b, lapack_int ldb, double* x,
+                                lapack_int ldx, double* rcond, double* ferr,
+                                double* berr, double* work, lapack_int* iwork );
+lapack_int LAPACKE_cpbsvx_work( int matrix_order, char fact, char uplo,
+                                lapack_int n, lapack_int kd, lapack_int nrhs,
+                                lapack_complex_float* ab, lapack_int ldab,
+                                lapack_complex_float* afb, lapack_int ldafb,
+                                char* equed, float* s, lapack_complex_float* b,
+                                lapack_int ldb, lapack_complex_float* x,
+                                lapack_int ldx, float* rcond, float* ferr,
+                                float* berr, lapack_complex_float* work,
+                                float* rwork );
+lapack_int LAPACKE_zpbsvx_work( int matrix_order, char fact, char uplo,
+                                lapack_int n, lapack_int kd, lapack_int nrhs,
+                                lapack_complex_double* ab, lapack_int ldab,
+                                lapack_complex_double* afb, lapack_int ldafb,
+                                char* equed, double* s,
+                                lapack_complex_double* b, lapack_int ldb,
+                                lapack_complex_double* x, lapack_int ldx,
+                                double* rcond, double* ferr, double* berr,
+                                lapack_complex_double* work, double* rwork );
+
+lapack_int LAPACKE_spbtrf_work( int matrix_order, char uplo, lapack_int n,
+                                lapack_int kd, float* ab, lapack_int ldab );
+lapack_int LAPACKE_dpbtrf_work( int matrix_order, char uplo, lapack_int n,
+                                lapack_int kd, double* ab, lapack_int ldab );
+lapack_int LAPACKE_cpbtrf_work( int matrix_order, char uplo, lapack_int n,
+                                lapack_int kd, lapack_complex_float* ab,
+                                lapack_int ldab );
+lapack_int LAPACKE_zpbtrf_work( int matrix_order, char uplo, lapack_int n,
+                                lapack_int kd, lapack_complex_double* ab,
+                                lapack_int ldab );
+
+lapack_int LAPACKE_spbtrs_work( int matrix_order, char uplo, lapack_int n,
+                                lapack_int kd, lapack_int nrhs, const float* ab,
+                                lapack_int ldab, float* b, lapack_int ldb );
+lapack_int LAPACKE_dpbtrs_work( int matrix_order, char uplo, lapack_int n,
+                                lapack_int kd, lapack_int nrhs,
+                                const double* ab, lapack_int ldab, double* b,
+                                lapack_int ldb );
+lapack_int LAPACKE_cpbtrs_work( int matrix_order, char uplo, lapack_int n,
+                                lapack_int kd, lapack_int nrhs,
+                                const lapack_complex_float* ab, lapack_int ldab,
+                                lapack_complex_float* b, lapack_int ldb );
+lapack_int LAPACKE_zpbtrs_work( int matrix_order, char uplo, lapack_int n,
+                                lapack_int kd, lapack_int nrhs,
+                                const lapack_complex_double* ab,
+                                lapack_int ldab, lapack_complex_double* b,
+                                lapack_int ldb );
+
+lapack_int LAPACKE_spftrf_work( int matrix_order, char transr, char uplo,
+                                lapack_int n, float* a );
+lapack_int LAPACKE_dpftrf_work( int matrix_order, char transr, char uplo,
+                                lapack_int n, double* a );
+lapack_int LAPACKE_cpftrf_work( int matrix_order, char transr, char uplo,
+                                lapack_int n, lapack_complex_float* a );
+lapack_int LAPACKE_zpftrf_work( int matrix_order, char transr, char uplo,
+                                lapack_int n, lapack_complex_double* a );
+
+lapack_int LAPACKE_spftri_work( int matrix_order, char transr, char uplo,
+                                lapack_int n, float* a );
+lapack_int LAPACKE_dpftri_work( int matrix_order, char transr, char uplo,
+                                lapack_int n, double* a );
+lapack_int LAPACKE_cpftri_work( int matrix_order, char transr, char uplo,
+                                lapack_int n, lapack_complex_float* a );
+lapack_int LAPACKE_zpftri_work( int matrix_order, char transr, char uplo,
+                                lapack_int n, lapack_complex_double* a );
+
+lapack_int LAPACKE_spftrs_work( int matrix_order, char transr, char uplo,
+                                lapack_int n, lapack_int nrhs, const float* a,
+                                float* b, lapack_int ldb );
+lapack_int LAPACKE_dpftrs_work( int matrix_order, char transr, char uplo,
+                                lapack_int n, lapack_int nrhs, const double* a,
+                                double* b, lapack_int ldb );
+lapack_int LAPACKE_cpftrs_work( int matrix_order, char transr, char uplo,
+                                lapack_int n, lapack_int nrhs,
+                                const lapack_complex_float* a,
+                                lapack_complex_float* b, lapack_int ldb );
+lapack_int LAPACKE_zpftrs_work( int matrix_order, char transr, char uplo,
+                                lapack_int n, lapack_int nrhs,
+                                const lapack_complex_double* a,
+                                lapack_complex_double* b, lapack_int ldb );
+
+lapack_int LAPACKE_spocon_work( int matrix_order, char uplo, lapack_int n,
+                                const float* a, lapack_int lda, float anorm,
+                                float* rcond, float* work, lapack_int* iwork );
+lapack_int LAPACKE_dpocon_work( int matrix_order, char uplo, lapack_int n,
+                                const double* a, lapack_int lda, double anorm,
+                                double* rcond, double* work,
+                                lapack_int* iwork );
+lapack_int LAPACKE_cpocon_work( int matrix_order, char uplo, lapack_int n,
+                                const lapack_complex_float* a, lapack_int lda,
+                                float anorm, float* rcond,
+                                lapack_complex_float* work, float* rwork );
+lapack_int LAPACKE_zpocon_work( int matrix_order, char uplo, lapack_int n,
+                                const lapack_complex_double* a, lapack_int lda,
+                                double anorm, double* rcond,
+                                lapack_complex_double* work, double* rwork );
+
+lapack_int LAPACKE_spoequ_work( int matrix_order, lapack_int n, const float* a,
+                                lapack_int lda, float* s, float* scond,
+                                float* amax );
+lapack_int LAPACKE_dpoequ_work( int matrix_order, lapack_int n, const double* a,
+                                lapack_int lda, double* s, double* scond,
+                                double* amax );
+lapack_int LAPACKE_cpoequ_work( int matrix_order, lapack_int n,
+                                const lapack_complex_float* a, lapack_int lda,
+                                float* s, float* scond, float* amax );
+lapack_int LAPACKE_zpoequ_work( int matrix_order, lapack_int n,
+                                const lapack_complex_double* a, lapack_int lda,
+                                double* s, double* scond, double* amax );
+
+lapack_int LAPACKE_spoequb_work( int matrix_order, lapack_int n, const float* a,
+                                 lapack_int lda, float* s, float* scond,
+                                 float* amax );
+lapack_int LAPACKE_dpoequb_work( int matrix_order, lapack_int n,
+                                 const double* a, lapack_int lda, double* s,
+                                 double* scond, double* amax );
+lapack_int LAPACKE_cpoequb_work( int matrix_order, lapack_int n,
+                                 const lapack_complex_float* a, lapack_int lda,
+                                 float* s, float* scond, float* amax );
+lapack_int LAPACKE_zpoequb_work( int matrix_order, lapack_int n,
+                                 const lapack_complex_double* a, lapack_int lda,
+                                 double* s, double* scond, double* amax );
+
+lapack_int LAPACKE_sporfs_work( int matrix_order, char uplo, lapack_int n,
+                                lapack_int nrhs, const float* a, lapack_int lda,
+                                const float* af, lapack_int ldaf,
+                                const float* b, lapack_int ldb, float* x,
+                                lapack_int ldx, float* ferr, float* berr,
+                                float* work, lapack_int* iwork );
+lapack_int LAPACKE_dporfs_work( int matrix_order, char uplo, lapack_int n,
+                                lapack_int nrhs, const double* a,
+                                lapack_int lda, const double* af,
+                                lapack_int ldaf, const double* b,
+                                lapack_int ldb, double* x, lapack_int ldx,
+                                double* ferr, double* berr, double* work,
+                                lapack_int* iwork );
+lapack_int LAPACKE_cporfs_work( int matrix_order, char uplo, lapack_int n,
+                                lapack_int nrhs, const lapack_complex_float* a,
+                                lapack_int lda, const lapack_complex_float* af,
+                                lapack_int ldaf, const lapack_complex_float* b,
+                                lapack_int ldb, lapack_complex_float* x,
+                                lapack_int ldx, float* ferr, float* berr,
+                                lapack_complex_float* work, float* rwork );
+lapack_int LAPACKE_zporfs_work( int matrix_order, char uplo, lapack_int n,
+                                lapack_int nrhs, const lapack_complex_double* a,
+                                lapack_int lda, const lapack_complex_double* af,
+                                lapack_int ldaf, const lapack_complex_double* b,
+                                lapack_int ldb, lapack_complex_double* x,
+                                lapack_int ldx, double* ferr, double* berr,
+                                lapack_complex_double* work, double* rwork );
+
+lapack_int LAPACKE_sporfsx_work( int matrix_order, char uplo, char equed,
+                                 lapack_int n, lapack_int nrhs, const float* a,
+                                 lapack_int lda, const float* af,
+                                 lapack_int ldaf, const float* s,
+                                 const float* b, lapack_int ldb, float* x,
+                                 lapack_int ldx, float* rcond, float* berr,
+                                 lapack_int n_err_bnds, float* err_bnds_norm,
+                                 float* err_bnds_comp, lapack_int nparams,
+                                 float* params, float* work,
+                                 lapack_int* iwork );
+lapack_int LAPACKE_dporfsx_work( int matrix_order, char uplo, char equed,
+                                 lapack_int n, lapack_int nrhs, const double* a,
+                                 lapack_int lda, const double* af,
+                                 lapack_int ldaf, const double* s,
+                                 const double* b, lapack_int ldb, double* x,
+                                 lapack_int ldx, double* rcond, double* berr,
+                                 lapack_int n_err_bnds, double* err_bnds_norm,
+                                 double* err_bnds_comp, lapack_int nparams,
+                                 double* params, double* work,
+                                 lapack_int* iwork );
+lapack_int LAPACKE_cporfsx_work( int matrix_order, char uplo, char equed,
+                                 lapack_int n, lapack_int nrhs,
+                                 const lapack_complex_float* a, lapack_int lda,
+                                 const lapack_complex_float* af,
+                                 lapack_int ldaf, const float* s,
+                                 const lapack_complex_float* b, lapack_int ldb,
+                                 lapack_complex_float* x, lapack_int ldx,
+                                 float* rcond, float* berr,
+                                 lapack_int n_err_bnds, float* err_bnds_norm,
+                                 float* err_bnds_comp, lapack_int nparams,
+                                 float* params, lapack_complex_float* work,
+                                 float* rwork );
+lapack_int LAPACKE_zporfsx_work( int matrix_order, char uplo, char equed,
+                                 lapack_int n, lapack_int nrhs,
+                                 const lapack_complex_double* a, lapack_int lda,
+                                 const lapack_complex_double* af,
+                                 lapack_int ldaf, const double* s,
+                                 const lapack_complex_double* b, lapack_int ldb,
+                                 lapack_complex_double* x, lapack_int ldx,
+                                 double* rcond, double* berr,
+                                 lapack_int n_err_bnds, double* err_bnds_norm,
+                                 double* err_bnds_comp, lapack_int nparams,
+                                 double* params, lapack_complex_double* work,
+                                 double* rwork );
+
+lapack_int LAPACKE_sposv_work( int matrix_order, char uplo, lapack_int n,
+                               lapack_int nrhs, float* a, lapack_int lda,
+                               float* b, lapack_int ldb );
+lapack_int LAPACKE_dposv_work( int matrix_order, char uplo, lapack_int n,
+                               lapack_int nrhs, double* a, lapack_int lda,
+                               double* b, lapack_int ldb );
+lapack_int LAPACKE_cposv_work( int matrix_order, char uplo, lapack_int n,
+                               lapack_int nrhs, lapack_complex_float* a,
+                               lapack_int lda, lapack_complex_float* b,
+                               lapack_int ldb );
+lapack_int LAPACKE_zposv_work( int matrix_order, char uplo, lapack_int n,
+                               lapack_int nrhs, lapack_complex_double* a,
+                               lapack_int lda, lapack_complex_double* b,
+                               lapack_int ldb );
+lapack_int LAPACKE_dsposv_work( int matrix_order, char uplo, lapack_int n,
+                                lapack_int nrhs, double* a, lapack_int lda,
+                                double* b, lapack_int ldb, double* x,
+                                lapack_int ldx, double* work, float* swork,
+                                lapack_int* iter );
+lapack_int LAPACKE_zcposv_work( int matrix_order, char uplo, lapack_int n,
+                                lapack_int nrhs, lapack_complex_double* a,
+                                lapack_int lda, lapack_complex_double* b,
+                                lapack_int ldb, lapack_complex_double* x,
+                                lapack_int ldx, lapack_complex_double* work,
+                                lapack_complex_float* swork, double* rwork,
+                                lapack_int* iter );
+
+lapack_int LAPACKE_sposvx_work( int matrix_order, char fact, char uplo,
+                                lapack_int n, lapack_int nrhs, float* a,
+                                lapack_int lda, float* af, lapack_int ldaf,
+                                char* equed, float* s, float* b, lapack_int ldb,
+                                float* x, lapack_int ldx, float* rcond,
+                                float* ferr, float* berr, float* work,
+                                lapack_int* iwork );
+lapack_int LAPACKE_dposvx_work( int matrix_order, char fact, char uplo,
+                                lapack_int n, lapack_int nrhs, double* a,
+                                lapack_int lda, double* af, lapack_int ldaf,
+                                char* equed, double* s, double* b,
+                                lapack_int ldb, double* x, lapack_int ldx,
+                                double* rcond, double* ferr, double* berr,
+                                double* work, lapack_int* iwork );
+lapack_int LAPACKE_cposvx_work( int matrix_order, char fact, char uplo,
+                                lapack_int n, lapack_int nrhs,
+                                lapack_complex_float* a, lapack_int lda,
+                                lapack_complex_float* af, lapack_int ldaf,
+                                char* equed, float* s, lapack_complex_float* b,
+                                lapack_int ldb, lapack_complex_float* x,
+                                lapack_int ldx, float* rcond, float* ferr,
+                                float* berr, lapack_complex_float* work,
+                                float* rwork );
+lapack_int LAPACKE_zposvx_work( int matrix_order, char fact, char uplo,
+                                lapack_int n, lapack_int nrhs,
+                                lapack_complex_double* a, lapack_int lda,
+                                lapack_complex_double* af, lapack_int ldaf,
+                                char* equed, double* s,
+                                lapack_complex_double* b, lapack_int ldb,
+                                lapack_complex_double* x, lapack_int ldx,
+                                double* rcond, double* ferr, double* berr,
+                                lapack_complex_double* work, double* rwork );
+
+lapack_int LAPACKE_sposvxx_work( int matrix_order, char fact, char uplo,
+                                 lapack_int n, lapack_int nrhs, float* a,
+                                 lapack_int lda, float* af, lapack_int ldaf,
+                                 char* equed, float* s, float* b,
+                                 lapack_int ldb, float* x, lapack_int ldx,
+                                 float* rcond, float* rpvgrw, float* berr,
+                                 lapack_int n_err_bnds, float* err_bnds_norm,
+                                 float* err_bnds_comp, lapack_int nparams,
+                                 float* params, float* work,
+                                 lapack_int* iwork );
+lapack_int LAPACKE_dposvxx_work( int matrix_order, char fact, char uplo,
+                                 lapack_int n, lapack_int nrhs, double* a,
+                                 lapack_int lda, double* af, lapack_int ldaf,
+                                 char* equed, double* s, double* b,
+                                 lapack_int ldb, double* x, lapack_int ldx,
+                                 double* rcond, double* rpvgrw, double* berr,
+                                 lapack_int n_err_bnds, double* err_bnds_norm,
+                                 double* err_bnds_comp, lapack_int nparams,
+                                 double* params, double* work,
+                                 lapack_int* iwork );
+lapack_int LAPACKE_cposvxx_work( int matrix_order, char fact, char uplo,
+                                 lapack_int n, lapack_int nrhs,
+                                 lapack_complex_float* a, lapack_int lda,
+                                 lapack_complex_float* af, lapack_int ldaf,
+                                 char* equed, float* s, lapack_complex_float* b,
+                                 lapack_int ldb, lapack_complex_float* x,
+                                 lapack_int ldx, float* rcond, float* rpvgrw,
+                                 float* berr, lapack_int n_err_bnds,
+                                 float* err_bnds_norm, float* err_bnds_comp,
+                                 lapack_int nparams, float* params,
+                                 lapack_complex_float* work, float* rwork );
+lapack_int LAPACKE_zposvxx_work( int matrix_order, char fact, char uplo,
+                                 lapack_int n, lapack_int nrhs,
+                                 lapack_complex_double* a, lapack_int lda,
+                                 lapack_complex_double* af, lapack_int ldaf,
+                                 char* equed, double* s,
+                                 lapack_complex_double* b, lapack_int ldb,
+                                 lapack_complex_double* x, lapack_int ldx,
+                                 double* rcond, double* rpvgrw, double* berr,
+                                 lapack_int n_err_bnds, double* err_bnds_norm,
+                                 double* err_bnds_comp, lapack_int nparams,
+                                 double* params, lapack_complex_double* work,
+                                 double* rwork );
+
+lapack_int LAPACKE_spotrf_work( int matrix_order, char uplo, lapack_int n,
+                                float* a, lapack_int lda );
+lapack_int LAPACKE_dpotrf_work( int matrix_order, char uplo, lapack_int n,
+                                double* a, lapack_int lda );
+lapack_int LAPACKE_cpotrf_work( int matrix_order, char uplo, lapack_int n,
+                                lapack_complex_float* a, lapack_int lda );
+lapack_int LAPACKE_zpotrf_work( int matrix_order, char uplo, lapack_int n,
+                                lapack_complex_double* a, lapack_int lda );
+
+lapack_int LAPACKE_spotri_work( int matrix_order, char uplo, lapack_int n,
+                                float* a, lapack_int lda );
+lapack_int LAPACKE_dpotri_work( int matrix_order, char uplo, lapack_int n,
+                                double* a, lapack_int lda );
+lapack_int LAPACKE_cpotri_work( int matrix_order, char uplo, lapack_int n,
+                                lapack_complex_float* a, lapack_int lda );
+lapack_int LAPACKE_zpotri_work( int matrix_order, char uplo, lapack_int n,
+                                lapack_complex_double* a, lapack_int lda );
+
+lapack_int LAPACKE_spotrs_work( int matrix_order, char uplo, lapack_int n,
+                                lapack_int nrhs, const float* a, lapack_int lda,
+                                float* b, lapack_int ldb );
+lapack_int LAPACKE_dpotrs_work( int matrix_order, char uplo, lapack_int n,
+                                lapack_int nrhs, const double* a,
+                                lapack_int lda, double* b, lapack_int ldb );
+lapack_int LAPACKE_cpotrs_work( int matrix_order, char uplo, lapack_int n,
+                                lapack_int nrhs, const lapack_complex_float* a,
+                                lapack_int lda, lapack_complex_float* b,
+                                lapack_int ldb );
+lapack_int LAPACKE_zpotrs_work( int matrix_order, char uplo, lapack_int n,
+                                lapack_int nrhs, const lapack_complex_double* a,
+                                lapack_int lda, lapack_complex_double* b,
+                                lapack_int ldb );
+
+lapack_int LAPACKE_sppcon_work( int matrix_order, char uplo, lapack_int n,
+                                const float* ap, float anorm, float* rcond,
+                                float* work, lapack_int* iwork );
+lapack_int LAPACKE_dppcon_work( int matrix_order, char uplo, lapack_int n,
+                                const double* ap, double anorm, double* rcond,
+                                double* work, lapack_int* iwork );
+lapack_int LAPACKE_cppcon_work( int matrix_order, char uplo, lapack_int n,
+                                const lapack_complex_float* ap, float anorm,
+                                float* rcond, lapack_complex_float* work,
+                                float* rwork );
+lapack_int LAPACKE_zppcon_work( int matrix_order, char uplo, lapack_int n,
+                                const lapack_complex_double* ap, double anorm,
+                                double* rcond, lapack_complex_double* work,
+                                double* rwork );
+
+lapack_int LAPACKE_sppequ_work( int matrix_order, char uplo, lapack_int n,
+                                const float* ap, float* s, float* scond,
+                                float* amax );
+lapack_int LAPACKE_dppequ_work( int matrix_order, char uplo, lapack_int n,
+                                const double* ap, double* s, double* scond,
+                                double* amax );
+lapack_int LAPACKE_cppequ_work( int matrix_order, char uplo, lapack_int n,
+                                const lapack_complex_float* ap, float* s,
+                                float* scond, float* amax );
+lapack_int LAPACKE_zppequ_work( int matrix_order, char uplo, lapack_int n,
+                                const lapack_complex_double* ap, double* s,
+                                double* scond, double* amax );
+
+lapack_int LAPACKE_spprfs_work( int matrix_order, char uplo, lapack_int n,
+                                lapack_int nrhs, const float* ap,
+                                const float* afp, const float* b,
+                                lapack_int ldb, float* x, lapack_int ldx,
+                                float* ferr, float* berr, float* work,
+                                lapack_int* iwork );
+lapack_int LAPACKE_dpprfs_work( int matrix_order, char uplo, lapack_int n,
+                                lapack_int nrhs, const double* ap,
+                                const double* afp, const double* b,
+                                lapack_int ldb, double* x, lapack_int ldx,
+                                double* ferr, double* berr, double* work,
+                                lapack_int* iwork );
+lapack_int LAPACKE_cpprfs_work( int matrix_order, char uplo, lapack_int n,
+                                lapack_int nrhs, const lapack_complex_float* ap,
+                                const lapack_complex_float* afp,
+                                const lapack_complex_float* b, lapack_int ldb,
+                                lapack_complex_float* x, lapack_int ldx,
+                                float* ferr, float* berr,
+                                lapack_complex_float* work, float* rwork );
+lapack_int LAPACKE_zpprfs_work( int matrix_order, char uplo, lapack_int n,
+                                lapack_int nrhs,
+                                const lapack_complex_double* ap,
+                                const lapack_complex_double* afp,
+                                const lapack_complex_double* b, lapack_int ldb,
+                                lapack_complex_double* x, lapack_int ldx,
+                                double* ferr, double* berr,
+                                lapack_complex_double* work, double* rwork );
+
+lapack_int LAPACKE_sppsv_work( int matrix_order, char uplo, lapack_int n,
+                               lapack_int nrhs, float* ap, float* b,
+                               lapack_int ldb );
+lapack_int LAPACKE_dppsv_work( int matrix_order, char uplo, lapack_int n,
+                               lapack_int nrhs, double* ap, double* b,
+                               lapack_int ldb );
+lapack_int LAPACKE_cppsv_work( int matrix_order, char uplo, lapack_int n,
+                               lapack_int nrhs, lapack_complex_float* ap,
+                               lapack_complex_float* b, lapack_int ldb );
+lapack_int LAPACKE_zppsv_work( int matrix_order, char uplo, lapack_int n,
+                               lapack_int nrhs, lapack_complex_double* ap,
+                               lapack_complex_double* b, lapack_int ldb );
+
+lapack_int LAPACKE_sppsvx_work( int matrix_order, char fact, char uplo,
+                                lapack_int n, lapack_int nrhs, float* ap,
+                                float* afp, char* equed, float* s, float* b,
+                                lapack_int ldb, float* x, lapack_int ldx,
+                                float* rcond, float* ferr, float* berr,
+                                float* work, lapack_int* iwork );
+lapack_int LAPACKE_dppsvx_work( int matrix_order, char fact, char uplo,
+                                lapack_int n, lapack_int nrhs, double* ap,
+                                double* afp, char* equed, double* s, double* b,
+                                lapack_int ldb, double* x, lapack_int ldx,
+                                double* rcond, double* ferr, double* berr,
+                                double* work, lapack_int* iwork );
+lapack_int LAPACKE_cppsvx_work( int matrix_order, char fact, char uplo,
+                                lapack_int n, lapack_int nrhs,
+                                lapack_complex_float* ap,
+                                lapack_complex_float* afp, char* equed,
+                                float* s, lapack_complex_float* b,
+                                lapack_int ldb, lapack_complex_float* x,
+                                lapack_int ldx, float* rcond, float* ferr,
+                                float* berr, lapack_complex_float* work,
+                                float* rwork );
+lapack_int LAPACKE_zppsvx_work( int matrix_order, char fact, char uplo,
+                                lapack_int n, lapack_int nrhs,
+                                lapack_complex_double* ap,
+                                lapack_complex_double* afp, char* equed,
+                                double* s, lapack_complex_double* b,
+                                lapack_int ldb, lapack_complex_double* x,
+                                lapack_int ldx, double* rcond, double* ferr,
+                                double* berr, lapack_complex_double* work,
+                                double* rwork );
+
+lapack_int LAPACKE_spptrf_work( int matrix_order, char uplo, lapack_int n,
+                                float* ap );
+lapack_int LAPACKE_dpptrf_work( int matrix_order, char uplo, lapack_int n,
+                                double* ap );
+lapack_int LAPACKE_cpptrf_work( int matrix_order, char uplo, lapack_int n,
+                                lapack_complex_float* ap );
+lapack_int LAPACKE_zpptrf_work( int matrix_order, char uplo, lapack_int n,
+                                lapack_complex_double* ap );
+
+lapack_int LAPACKE_spptri_work( int matrix_order, char uplo, lapack_int n,
+                                float* ap );
+lapack_int LAPACKE_dpptri_work( int matrix_order, char uplo, lapack_int n,
+                                double* ap );
+lapack_int LAPACKE_cpptri_work( int matrix_order, char uplo, lapack_int n,
+                                lapack_complex_float* ap );
+lapack_int LAPACKE_zpptri_work( int matrix_order, char uplo, lapack_int n,
+                                lapack_complex_double* ap );
+
+lapack_int LAPACKE_spptrs_work( int matrix_order, char uplo, lapack_int n,
+                                lapack_int nrhs, const float* ap, float* b,
+                                lapack_int ldb );
+lapack_int LAPACKE_dpptrs_work( int matrix_order, char uplo, lapack_int n,
+                                lapack_int nrhs, const double* ap, double* b,
+                                lapack_int ldb );
+lapack_int LAPACKE_cpptrs_work( int matrix_order, char uplo, lapack_int n,
+                                lapack_int nrhs, const lapack_complex_float* ap,
+                                lapack_complex_float* b, lapack_int ldb );
+lapack_int LAPACKE_zpptrs_work( int matrix_order, char uplo, lapack_int n,
+                                lapack_int nrhs,
+                                const lapack_complex_double* ap,
+                                lapack_complex_double* b, lapack_int ldb );
+
+lapack_int LAPACKE_spstrf_work( int matrix_order, char uplo, lapack_int n,
+                                float* a, lapack_int lda, lapack_int* piv,
+                                lapack_int* rank, float tol, float* work );
+lapack_int LAPACKE_dpstrf_work( int matrix_order, char uplo, lapack_int n,
+                                double* a, lapack_int lda, lapack_int* piv,
+                                lapack_int* rank, double tol, double* work );
+lapack_int LAPACKE_cpstrf_work( int matrix_order, char uplo, lapack_int n,
+                                lapack_complex_float* a, lapack_int lda,
+                                lapack_int* piv, lapack_int* rank, float tol,
+                                float* work );
+lapack_int LAPACKE_zpstrf_work( int matrix_order, char uplo, lapack_int n,
+                                lapack_complex_double* a, lapack_int lda,
+                                lapack_int* piv, lapack_int* rank, double tol,
+                                double* work );
+
+lapack_int LAPACKE_sptcon_work( lapack_int n, const float* d, const float* e,
+                                float anorm, float* rcond, float* work );
+lapack_int LAPACKE_dptcon_work( lapack_int n, const double* d, const double* e,
+                                double anorm, double* rcond, double* work );
+lapack_int LAPACKE_cptcon_work( lapack_int n, const float* d,
+                                const lapack_complex_float* e, float anorm,
+                                float* rcond, float* work );
+lapack_int LAPACKE_zptcon_work( lapack_int n, const double* d,
+                                const lapack_complex_double* e, double anorm,
+                                double* rcond, double* work );
+
+lapack_int LAPACKE_spteqr_work( int matrix_order, char compz, lapack_int n,
+                                float* d, float* e, float* z, lapack_int ldz,
+                                float* work );
+lapack_int LAPACKE_dpteqr_work( int matrix_order, char compz, lapack_int n,
+                                double* d, double* e, double* z, lapack_int ldz,
+                                double* work );
+lapack_int LAPACKE_cpteqr_work( int matrix_order, char compz, lapack_int n,
+                                float* d, float* e, lapack_complex_float* z,
+                                lapack_int ldz, float* work );
+lapack_int LAPACKE_zpteqr_work( int matrix_order, char compz, lapack_int n,
+                                double* d, double* e, lapack_complex_double* z,
+                                lapack_int ldz, double* work );
+
+lapack_int LAPACKE_sptrfs_work( int matrix_order, lapack_int n, lapack_int nrhs,
+                                const float* d, const float* e, const float* df,
+                                const float* ef, const float* b, lapack_int ldb,
+                                float* x, lapack_int ldx, float* ferr,
+                                float* berr, float* work );
+lapack_int LAPACKE_dptrfs_work( int matrix_order, lapack_int n, lapack_int nrhs,
+                                const double* d, const double* e,
+                                const double* df, const double* ef,
+                                const double* b, lapack_int ldb, double* x,
+                                lapack_int ldx, double* ferr, double* berr,
+                                double* work );
+lapack_int LAPACKE_cptrfs_work( int matrix_order, char uplo, lapack_int n,
+                                lapack_int nrhs, const float* d,
+                                const lapack_complex_float* e, const float* df,
+                                const lapack_complex_float* ef,
+                                const lapack_complex_float* b, lapack_int ldb,
+                                lapack_complex_float* x, lapack_int ldx,
+                                float* ferr, float* berr,
+                                lapack_complex_float* work, float* rwork );
+lapack_int LAPACKE_zptrfs_work( int matrix_order, char uplo, lapack_int n,
+                                lapack_int nrhs, const double* d,
+                                const lapack_complex_double* e,
+                                const double* df,
+                                const lapack_complex_double* ef,
+                                const lapack_complex_double* b, lapack_int ldb,
+                                lapack_complex_double* x, lapack_int ldx,
+                                double* ferr, double* berr,
+                                lapack_complex_double* work, double* rwork );
+
+lapack_int LAPACKE_sptsv_work( int matrix_order, lapack_int n, lapack_int nrhs,
+                               float* d, float* e, float* b, lapack_int ldb );
+lapack_int LAPACKE_dptsv_work( int matrix_order, lapack_int n, lapack_int nrhs,
+                               double* d, double* e, double* b,
+                               lapack_int ldb );
+lapack_int LAPACKE_cptsv_work( int matrix_order, lapack_int n, lapack_int nrhs,
+                               float* d, lapack_complex_float* e,
+                               lapack_complex_float* b, lapack_int ldb );
+lapack_int LAPACKE_zptsv_work( int matrix_order, lapack_int n, lapack_int nrhs,
+                               double* d, lapack_complex_double* e,
+                               lapack_complex_double* b, lapack_int ldb );
+
+lapack_int LAPACKE_sptsvx_work( int matrix_order, char fact, lapack_int n,
+                                lapack_int nrhs, const float* d, const float* e,
+                                float* df, float* ef, const float* b,
+                                lapack_int ldb, float* x, lapack_int ldx,
+                                float* rcond, float* ferr, float* berr,
+                                float* work );
+lapack_int LAPACKE_dptsvx_work( int matrix_order, char fact, lapack_int n,
+                                lapack_int nrhs, const double* d,
+                                const double* e, double* df, double* ef,
+                                const double* b, lapack_int ldb, double* x,
+                                lapack_int ldx, double* rcond, double* ferr,
+                                double* berr, double* work );
+lapack_int LAPACKE_cptsvx_work( int matrix_order, char fact, lapack_int n,
+                                lapack_int nrhs, const float* d,
+                                const lapack_complex_float* e, float* df,
+                                lapack_complex_float* ef,
+                                const lapack_complex_float* b, lapack_int ldb,
+                                lapack_complex_float* x, lapack_int ldx,
+                                float* rcond, float* ferr, float* berr,
+                                lapack_complex_float* work, float* rwork );
+lapack_int LAPACKE_zptsvx_work( int matrix_order, char fact, lapack_int n,
+                                lapack_int nrhs, const double* d,
+                                const lapack_complex_double* e, double* df,
+                                lapack_complex_double* ef,
+                                const lapack_complex_double* b, lapack_int ldb,
+                                lapack_complex_double* x, lapack_int ldx,
+                                double* rcond, double* ferr, double* berr,
+                                lapack_complex_double* work, double* rwork );
+
+lapack_int LAPACKE_spttrf_work( lapack_int n, float* d, float* e );
+lapack_int LAPACKE_dpttrf_work( lapack_int n, double* d, double* e );
+lapack_int LAPACKE_cpttrf_work( lapack_int n, float* d,
+                                lapack_complex_float* e );
+lapack_int LAPACKE_zpttrf_work( lapack_int n, double* d,
+                                lapack_complex_double* e );
+
+lapack_int LAPACKE_spttrs_work( int matrix_order, lapack_int n, lapack_int nrhs,
+                                const float* d, const float* e, float* b,
+                                lapack_int ldb );
+lapack_int LAPACKE_dpttrs_work( int matrix_order, lapack_int n, lapack_int nrhs,
+                                const double* d, const double* e, double* b,
+                                lapack_int ldb );
+lapack_int LAPACKE_cpttrs_work( int matrix_order, char uplo, lapack_int n,
+                                lapack_int nrhs, const float* d,
+                                const lapack_complex_float* e,
+                                lapack_complex_float* b, lapack_int ldb );
+lapack_int LAPACKE_zpttrs_work( int matrix_order, char uplo, lapack_int n,
+                                lapack_int nrhs, const double* d,
+                                const lapack_complex_double* e,
+                                lapack_complex_double* b, lapack_int ldb );
+
+lapack_int LAPACKE_ssbev_work( int matrix_order, char jobz, char uplo,
+                               lapack_int n, lapack_int kd, float* ab,
+                               lapack_int ldab, float* w, float* z,
+                               lapack_int ldz, float* work );
+lapack_int LAPACKE_dsbev_work( int matrix_order, char jobz, char uplo,
+                               lapack_int n, lapack_int kd, double* ab,
+                               lapack_int ldab, double* w, double* z,
+                               lapack_int ldz, double* work );
+
+lapack_int LAPACKE_ssbevd_work( int matrix_order, char jobz, char uplo,
+                                lapack_int n, lapack_int kd, float* ab,
+                                lapack_int ldab, float* w, float* z,
+                                lapack_int ldz, float* work, lapack_int lwork,
+                                lapack_int* iwork, lapack_int liwork );
+lapack_int LAPACKE_dsbevd_work( int matrix_order, char jobz, char uplo,
+                                lapack_int n, lapack_int kd, double* ab,
+                                lapack_int ldab, double* w, double* z,
+                                lapack_int ldz, double* work, lapack_int lwork,
+                                lapack_int* iwork, lapack_int liwork );
+
+lapack_int LAPACKE_ssbevx_work( int matrix_order, char jobz, char range,
+                                char uplo, lapack_int n, lapack_int kd,
+                                float* ab, lapack_int ldab, float* q,
+                                lapack_int ldq, float vl, float vu,
+                                lapack_int il, lapack_int iu, float abstol,
+                                lapack_int* m, float* w, float* z,
+                                lapack_int ldz, float* work, lapack_int* iwork,
+                                lapack_int* ifail );
+lapack_int LAPACKE_dsbevx_work( int matrix_order, char jobz, char range,
+                                char uplo, lapack_int n, lapack_int kd,
+                                double* ab, lapack_int ldab, double* q,
+                                lapack_int ldq, double vl, double vu,
+                                lapack_int il, lapack_int iu, double abstol,
+                                lapack_int* m, double* w, double* z,
+                                lapack_int ldz, double* work, lapack_int* iwork,
+                                lapack_int* ifail );
+
+lapack_int LAPACKE_ssbgst_work( int matrix_order, char vect, char uplo,
+                                lapack_int n, lapack_int ka, lapack_int kb,
+                                float* ab, lapack_int ldab, const float* bb,
+                                lapack_int ldbb, float* x, lapack_int ldx,
+                                float* work );
+lapack_int LAPACKE_dsbgst_work( int matrix_order, char vect, char uplo,
+                                lapack_int n, lapack_int ka, lapack_int kb,
+                                double* ab, lapack_int ldab, const double* bb,
+                                lapack_int ldbb, double* x, lapack_int ldx,
+                                double* work );
+
+lapack_int LAPACKE_ssbgv_work( int matrix_order, char jobz, char uplo,
+                               lapack_int n, lapack_int ka, lapack_int kb,
+                               float* ab, lapack_int ldab, float* bb,
+                               lapack_int ldbb, float* w, float* z,
+                               lapack_int ldz, float* work );
+lapack_int LAPACKE_dsbgv_work( int matrix_order, char jobz, char uplo,
+                               lapack_int n, lapack_int ka, lapack_int kb,
+                               double* ab, lapack_int ldab, double* bb,
+                               lapack_int ldbb, double* w, double* z,
+                               lapack_int ldz, double* work );
+
+lapack_int LAPACKE_ssbgvd_work( int matrix_order, char jobz, char uplo,
+                                lapack_int n, lapack_int ka, lapack_int kb,
+                                float* ab, lapack_int ldab, float* bb,
+                                lapack_int ldbb, float* w, float* z,
+                                lapack_int ldz, float* work, lapack_int lwork,
+                                lapack_int* iwork, lapack_int liwork );
+lapack_int LAPACKE_dsbgvd_work( int matrix_order, char jobz, char uplo,
+                                lapack_int n, lapack_int ka, lapack_int kb,
+                                double* ab, lapack_int ldab, double* bb,
+                                lapack_int ldbb, double* w, double* z,
+                                lapack_int ldz, double* work, lapack_int lwork,
+                                lapack_int* iwork, lapack_int liwork );
+
+lapack_int LAPACKE_ssbgvx_work( int matrix_order, char jobz, char range,
+                                char uplo, lapack_int n, lapack_int ka,
+                                lapack_int kb, float* ab, lapack_int ldab,
+                                float* bb, lapack_int ldbb, float* q,
+                                lapack_int ldq, float vl, float vu,
+                                lapack_int il, lapack_int iu, float abstol,
+                                lapack_int* m, float* w, float* z,
+                                lapack_int ldz, float* work, lapack_int* iwork,
+                                lapack_int* ifail );
+lapack_int LAPACKE_dsbgvx_work( int matrix_order, char jobz, char range,
+                                char uplo, lapack_int n, lapack_int ka,
+                                lapack_int kb, double* ab, lapack_int ldab,
+                                double* bb, lapack_int ldbb, double* q,
+                                lapack_int ldq, double vl, double vu,
+                                lapack_int il, lapack_int iu, double abstol,
+                                lapack_int* m, double* w, double* z,
+                                lapack_int ldz, double* work, lapack_int* iwork,
+                                lapack_int* ifail );
+
+lapack_int LAPACKE_ssbtrd_work( int matrix_order, char vect, char uplo,
+                                lapack_int n, lapack_int kd, float* ab,
+                                lapack_int ldab, float* d, float* e, float* q,
+                                lapack_int ldq, float* work );
+lapack_int LAPACKE_dsbtrd_work( int matrix_order, char vect, char uplo,
+                                lapack_int n, lapack_int kd, double* ab,
+                                lapack_int ldab, double* d, double* e,
+                                double* q, lapack_int ldq, double* work );
+
+lapack_int LAPACKE_ssfrk_work( int matrix_order, char transr, char uplo,
+                               char trans, lapack_int n, lapack_int k,
+                               float alpha, const float* a, lapack_int lda,
+                               float beta, float* c );
+lapack_int LAPACKE_dsfrk_work( int matrix_order, char transr, char uplo,
+                               char trans, lapack_int n, lapack_int k,
+                               double alpha, const double* a, lapack_int lda,
+                               double beta, double* c );
+
+lapack_int LAPACKE_sspcon_work( int matrix_order, char uplo, lapack_int n,
+                                const float* ap, const lapack_int* ipiv,
+                                float anorm, float* rcond, float* work,
+                                lapack_int* iwork );
+lapack_int LAPACKE_dspcon_work( int matrix_order, char uplo, lapack_int n,
+                                const double* ap, const lapack_int* ipiv,
+                                double anorm, double* rcond, double* work,
+                                lapack_int* iwork );
+lapack_int LAPACKE_cspcon_work( int matrix_order, char uplo, lapack_int n,
+                                const lapack_complex_float* ap,
+                                const lapack_int* ipiv, float anorm,
+                                float* rcond, lapack_complex_float* work );
+lapack_int LAPACKE_zspcon_work( int matrix_order, char uplo, lapack_int n,
+                                const lapack_complex_double* ap,
+                                const lapack_int* ipiv, double anorm,
+                                double* rcond, lapack_complex_double* work );
+
+lapack_int LAPACKE_sspev_work( int matrix_order, char jobz, char uplo,
+                               lapack_int n, float* ap, float* w, float* z,
+                               lapack_int ldz, float* work );
+lapack_int LAPACKE_dspev_work( int matrix_order, char jobz, char uplo,
+                               lapack_int n, double* ap, double* w, double* z,
+                               lapack_int ldz, double* work );
+
+lapack_int LAPACKE_sspevd_work( int matrix_order, char jobz, char uplo,
+                                lapack_int n, float* ap, float* w, float* z,
+                                lapack_int ldz, float* work, lapack_int lwork,
+                                lapack_int* iwork, lapack_int liwork );
+lapack_int LAPACKE_dspevd_work( int matrix_order, char jobz, char uplo,
+                                lapack_int n, double* ap, double* w, double* z,
+                                lapack_int ldz, double* work, lapack_int lwork,
+                                lapack_int* iwork, lapack_int liwork );
+
+lapack_int LAPACKE_sspevx_work( int matrix_order, char jobz, char range,
+                                char uplo, lapack_int n, float* ap, float vl,
+                                float vu, lapack_int il, lapack_int iu,
+                                float abstol, lapack_int* m, float* w, float* z,
+                                lapack_int ldz, float* work, lapack_int* iwork,
+                                lapack_int* ifail );
+lapack_int LAPACKE_dspevx_work( int matrix_order, char jobz, char range,
+                                char uplo, lapack_int n, double* ap, double vl,
+                                double vu, lapack_int il, lapack_int iu,
+                                double abstol, lapack_int* m, double* w,
+                                double* z, lapack_int ldz, double* work,
+                                lapack_int* iwork, lapack_int* ifail );
+
+lapack_int LAPACKE_sspgst_work( int matrix_order, lapack_int itype, char uplo,
+                                lapack_int n, float* ap, const float* bp );
+lapack_int LAPACKE_dspgst_work( int matrix_order, lapack_int itype, char uplo,
+                                lapack_int n, double* ap, const double* bp );
+
+lapack_int LAPACKE_sspgv_work( int matrix_order, lapack_int itype, char jobz,
+                               char uplo, lapack_int n, float* ap, float* bp,
+                               float* w, float* z, lapack_int ldz,
+                               float* work );
+lapack_int LAPACKE_dspgv_work( int matrix_order, lapack_int itype, char jobz,
+                               char uplo, lapack_int n, double* ap, double* bp,
+                               double* w, double* z, lapack_int ldz,
+                               double* work );
+
+lapack_int LAPACKE_sspgvd_work( int matrix_order, lapack_int itype, char jobz,
+                                char uplo, lapack_int n, float* ap, float* bp,
+                                float* w, float* z, lapack_int ldz, float* work,
+                                lapack_int lwork, lapack_int* iwork,
+                                lapack_int liwork );
+lapack_int LAPACKE_dspgvd_work( int matrix_order, lapack_int itype, char jobz,
+                                char uplo, lapack_int n, double* ap, double* bp,
+                                double* w, double* z, lapack_int ldz,
+                                double* work, lapack_int lwork,
+                                lapack_int* iwork, lapack_int liwork );
+
+lapack_int LAPACKE_sspgvx_work( int matrix_order, lapack_int itype, char jobz,
+                                char range, char uplo, lapack_int n, float* ap,
+                                float* bp, float vl, float vu, lapack_int il,
+                                lapack_int iu, float abstol, lapack_int* m,
+                                float* w, float* z, lapack_int ldz, float* work,
+                                lapack_int* iwork, lapack_int* ifail );
+lapack_int LAPACKE_dspgvx_work( int matrix_order, lapack_int itype, char jobz,
+                                char range, char uplo, lapack_int n, double* ap,
+                                double* bp, double vl, double vu, lapack_int il,
+                                lapack_int iu, double abstol, lapack_int* m,
+                                double* w, double* z, lapack_int ldz,
+                                double* work, lapack_int* iwork,
+                                lapack_int* ifail );
+
+lapack_int LAPACKE_ssprfs_work( int matrix_order, char uplo, lapack_int n,
+                                lapack_int nrhs, const float* ap,
+                                const float* afp, const lapack_int* ipiv,
+                                const float* b, lapack_int ldb, float* x,
+                                lapack_int ldx, float* ferr, float* berr,
+                                float* work, lapack_int* iwork );
+lapack_int LAPACKE_dsprfs_work( int matrix_order, char uplo, lapack_int n,
+                                lapack_int nrhs, const double* ap,
+                                const double* afp, const lapack_int* ipiv,
+                                const double* b, lapack_int ldb, double* x,
+                                lapack_int ldx, double* ferr, double* berr,
+                                double* work, lapack_int* iwork );
+lapack_int LAPACKE_csprfs_work( int matrix_order, char uplo, lapack_int n,
+                                lapack_int nrhs, const lapack_complex_float* ap,
+                                const lapack_complex_float* afp,
+                                const lapack_int* ipiv,
+                                const lapack_complex_float* b, lapack_int ldb,
+                                lapack_complex_float* x, lapack_int ldx,
+                                float* ferr, float* berr,
+                                lapack_complex_float* work, float* rwork );
+lapack_int LAPACKE_zsprfs_work( int matrix_order, char uplo, lapack_int n,
+                                lapack_int nrhs,
+                                const lapack_complex_double* ap,
+                                const lapack_complex_double* afp,
+                                const lapack_int* ipiv,
+                                const lapack_complex_double* b, lapack_int ldb,
+                                lapack_complex_double* x, lapack_int ldx,
+                                double* ferr, double* berr,
+                                lapack_complex_double* work, double* rwork );
+
+lapack_int LAPACKE_sspsv_work( int matrix_order, char uplo, lapack_int n,
+                               lapack_int nrhs, float* ap, lapack_int* ipiv,
+                               float* b, lapack_int ldb );
+lapack_int LAPACKE_dspsv_work( int matrix_order, char uplo, lapack_int n,
+                               lapack_int nrhs, double* ap, lapack_int* ipiv,
+                               double* b, lapack_int ldb );
+lapack_int LAPACKE_cspsv_work( int matrix_order, char uplo, lapack_int n,
+                               lapack_int nrhs, lapack_complex_float* ap,
+                               lapack_int* ipiv, lapack_complex_float* b,
+                               lapack_int ldb );
+lapack_int LAPACKE_zspsv_work( int matrix_order, char uplo, lapack_int n,
+                               lapack_int nrhs, lapack_complex_double* ap,
+                               lapack_int* ipiv, lapack_complex_double* b,
+                               lapack_int ldb );
+
+lapack_int LAPACKE_sspsvx_work( int matrix_order, char fact, char uplo,
+                                lapack_int n, lapack_int nrhs, const float* ap,
+                                float* afp, lapack_int* ipiv, const float* b,
+                                lapack_int ldb, float* x, lapack_int ldx,
+                                float* rcond, float* ferr, float* berr,
+                                float* work, lapack_int* iwork );
+lapack_int LAPACKE_dspsvx_work( int matrix_order, char fact, char uplo,
+                                lapack_int n, lapack_int nrhs, const double* ap,
+                                double* afp, lapack_int* ipiv, const double* b,
+                                lapack_int ldb, double* x, lapack_int ldx,
+                                double* rcond, double* ferr, double* berr,
+                                double* work, lapack_int* iwork );
+lapack_int LAPACKE_cspsvx_work( int matrix_order, char fact, char uplo,
+                                lapack_int n, lapack_int nrhs,
+                                const lapack_complex_float* ap,
+                                lapack_complex_float* afp, lapack_int* ipiv,
+                                const lapack_complex_float* b, lapack_int ldb,
+                                lapack_complex_float* x, lapack_int ldx,
+                                float* rcond, float* ferr, float* berr,
+                                lapack_complex_float* work, float* rwork );
+lapack_int LAPACKE_zspsvx_work( int matrix_order, char fact, char uplo,
+                                lapack_int n, lapack_int nrhs,
+                                const lapack_complex_double* ap,
+                                lapack_complex_double* afp, lapack_int* ipiv,
+                                const lapack_complex_double* b, lapack_int ldb,
+                                lapack_complex_double* x, lapack_int ldx,
+                                double* rcond, double* ferr, double* berr,
+                                lapack_complex_double* work, double* rwork );
+
+lapack_int LAPACKE_ssptrd_work( int matrix_order, char uplo, lapack_int n,
+                                float* ap, float* d, float* e, float* tau );
+lapack_int LAPACKE_dsptrd_work( int matrix_order, char uplo, lapack_int n,
+                                double* ap, double* d, double* e, double* tau );
+
+lapack_int LAPACKE_ssptrf_work( int matrix_order, char uplo, lapack_int n,
+                                float* ap, lapack_int* ipiv );
+lapack_int LAPACKE_dsptrf_work( int matrix_order, char uplo, lapack_int n,
+                                double* ap, lapack_int* ipiv );
+lapack_int LAPACKE_csptrf_work( int matrix_order, char uplo, lapack_int n,
+                                lapack_complex_float* ap, lapack_int* ipiv );
+lapack_int LAPACKE_zsptrf_work( int matrix_order, char uplo, lapack_int n,
+                                lapack_complex_double* ap, lapack_int* ipiv );
+
+lapack_int LAPACKE_ssptri_work( int matrix_order, char uplo, lapack_int n,
+                                float* ap, const lapack_int* ipiv,
+                                float* work );
+lapack_int LAPACKE_dsptri_work( int matrix_order, char uplo, lapack_int n,
+                                double* ap, const lapack_int* ipiv,
+                                double* work );
+lapack_int LAPACKE_csptri_work( int matrix_order, char uplo, lapack_int n,
+                                lapack_complex_float* ap,
+                                const lapack_int* ipiv,
+                                lapack_complex_float* work );
+lapack_int LAPACKE_zsptri_work( int matrix_order, char uplo, lapack_int n,
+                                lapack_complex_double* ap,
+                                const lapack_int* ipiv,
+                                lapack_complex_double* work );
+
+lapack_int LAPACKE_ssptrs_work( int matrix_order, char uplo, lapack_int n,
+                                lapack_int nrhs, const float* ap,
+                                const lapack_int* ipiv, float* b,
+                                lapack_int ldb );
+lapack_int LAPACKE_dsptrs_work( int matrix_order, char uplo, lapack_int n,
+                                lapack_int nrhs, const double* ap,
+                                const lapack_int* ipiv, double* b,
+                                lapack_int ldb );
+lapack_int LAPACKE_csptrs_work( int matrix_order, char uplo, lapack_int n,
+                                lapack_int nrhs, const lapack_complex_float* ap,
+                                const lapack_int* ipiv, lapack_complex_float* b,
+                                lapack_int ldb );
+lapack_int LAPACKE_zsptrs_work( int matrix_order, char uplo, lapack_int n,
+                                lapack_int nrhs,
+                                const lapack_complex_double* ap,
+                                const lapack_int* ipiv,
+                                lapack_complex_double* b, lapack_int ldb );
+
+lapack_int LAPACKE_sstebz_work( char range, char order, lapack_int n, float vl,
+                                float vu, lapack_int il, lapack_int iu,
+                                float abstol, const float* d, const float* e,
+                                lapack_int* m, lapack_int* nsplit, float* w,
+                                lapack_int* iblock, lapack_int* isplit,
+                                float* work, lapack_int* iwork );
+lapack_int LAPACKE_dstebz_work( char range, char order, lapack_int n, double vl,
+                                double vu, lapack_int il, lapack_int iu,
+                                double abstol, const double* d, const double* e,
+                                lapack_int* m, lapack_int* nsplit, double* w,
+                                lapack_int* iblock, lapack_int* isplit,
+                                double* work, lapack_int* iwork );
+
+lapack_int LAPACKE_sstedc_work( int matrix_order, char compz, lapack_int n,
+                                float* d, float* e, float* z, lapack_int ldz,
+                                float* work, lapack_int lwork,
+                                lapack_int* iwork, lapack_int liwork );
+lapack_int LAPACKE_dstedc_work( int matrix_order, char compz, lapack_int n,
+                                double* d, double* e, double* z, lapack_int ldz,
+                                double* work, lapack_int lwork,
+                                lapack_int* iwork, lapack_int liwork );
+lapack_int LAPACKE_cstedc_work( int matrix_order, char compz, lapack_int n,
+                                float* d, float* e, lapack_complex_float* z,
+                                lapack_int ldz, lapack_complex_float* work,
+                                lapack_int lwork, float* rwork,
+                                lapack_int lrwork, lapack_int* iwork,
+                                lapack_int liwork );
+lapack_int LAPACKE_zstedc_work( int matrix_order, char compz, lapack_int n,
+                                double* d, double* e, lapack_complex_double* z,
+                                lapack_int ldz, lapack_complex_double* work,
+                                lapack_int lwork, double* rwork,
+                                lapack_int lrwork, lapack_int* iwork,
+                                lapack_int liwork );
+
+lapack_int LAPACKE_sstegr_work( int matrix_order, char jobz, char range,
+                                lapack_int n, float* d, float* e, float vl,
+                                float vu, lapack_int il, lapack_int iu,
+                                float abstol, lapack_int* m, float* w, float* z,
+                                lapack_int ldz, lapack_int* isuppz, float* work,
+                                lapack_int lwork, lapack_int* iwork,
+                                lapack_int liwork );
+lapack_int LAPACKE_dstegr_work( int matrix_order, char jobz, char range,
+                                lapack_int n, double* d, double* e, double vl,
+                                double vu, lapack_int il, lapack_int iu,
+                                double abstol, lapack_int* m, double* w,
+                                double* z, lapack_int ldz, lapack_int* isuppz,
+                                double* work, lapack_int lwork,
+                                lapack_int* iwork, lapack_int liwork );
+lapack_int LAPACKE_cstegr_work( int matrix_order, char jobz, char range,
+                                lapack_int n, float* d, float* e, float vl,
+                                float vu, lapack_int il, lapack_int iu,
+                                float abstol, lapack_int* m, float* w,
+                                lapack_complex_float* z, lapack_int ldz,
+                                lapack_int* isuppz, float* work,
+                                lapack_int lwork, lapack_int* iwork,
+                                lapack_int liwork );
+lapack_int LAPACKE_zstegr_work( int matrix_order, char jobz, char range,
+                                lapack_int n, double* d, double* e, double vl,
+                                double vu, lapack_int il, lapack_int iu,
+                                double abstol, lapack_int* m, double* w,
+                                lapack_complex_double* z, lapack_int ldz,
+                                lapack_int* isuppz, double* work,
+                                lapack_int lwork, lapack_int* iwork,
+                                lapack_int liwork );
+
+lapack_int LAPACKE_sstein_work( int matrix_order, lapack_int n, const float* d,
+                                const float* e, lapack_int m, const float* w,
+                                const lapack_int* iblock,
+                                const lapack_int* isplit, float* z,
+                                lapack_int ldz, float* work, lapack_int* iwork,
+                                lapack_int* ifailv );
+lapack_int LAPACKE_dstein_work( int matrix_order, lapack_int n, const double* d,
+                                const double* e, lapack_int m, const double* w,
+                                const lapack_int* iblock,
+                                const lapack_int* isplit, double* z,
+                                lapack_int ldz, double* work, lapack_int* iwork,
+                                lapack_int* ifailv );
+lapack_int LAPACKE_cstein_work( int matrix_order, lapack_int n, const float* d,
+                                const float* e, lapack_int m, const float* w,
+                                const lapack_int* iblock,
+                                const lapack_int* isplit,
+                                lapack_complex_float* z, lapack_int ldz,
+                                float* work, lapack_int* iwork,
+                                lapack_int* ifailv );
+lapack_int LAPACKE_zstein_work( int matrix_order, lapack_int n, const double* d,
+                                const double* e, lapack_int m, const double* w,
+                                const lapack_int* iblock,
+                                const lapack_int* isplit,
+                                lapack_complex_double* z, lapack_int ldz,
+                                double* work, lapack_int* iwork,
+                                lapack_int* ifailv );
+
+lapack_int LAPACKE_sstemr_work( int matrix_order, char jobz, char range,
+                                lapack_int n, float* d, float* e, float vl,
+                                float vu, lapack_int il, lapack_int iu,
+                                lapack_int* m, float* w, float* z,
+                                lapack_int ldz, lapack_int nzc,
+                                lapack_int* isuppz, lapack_logical* tryrac,
+                                float* work, lapack_int lwork,
+                                lapack_int* iwork, lapack_int liwork );
+lapack_int LAPACKE_dstemr_work( int matrix_order, char jobz, char range,
+                                lapack_int n, double* d, double* e, double vl,
+                                double vu, lapack_int il, lapack_int iu,
+                                lapack_int* m, double* w, double* z,
+                                lapack_int ldz, lapack_int nzc,
+                                lapack_int* isuppz, lapack_logical* tryrac,
+                                double* work, lapack_int lwork,
+                                lapack_int* iwork, lapack_int liwork );
+lapack_int LAPACKE_cstemr_work( int matrix_order, char jobz, char range,
+                                lapack_int n, float* d, float* e, float vl,
+                                float vu, lapack_int il, lapack_int iu,
+                                lapack_int* m, float* w,
+                                lapack_complex_float* z, lapack_int ldz,
+                                lapack_int nzc, lapack_int* isuppz,
+                                lapack_logical* tryrac, float* work,
+                                lapack_int lwork, lapack_int* iwork,
+                                lapack_int liwork );
+lapack_int LAPACKE_zstemr_work( int matrix_order, char jobz, char range,
+                                lapack_int n, double* d, double* e, double vl,
+                                double vu, lapack_int il, lapack_int iu,
+                                lapack_int* m, double* w,
+                                lapack_complex_double* z, lapack_int ldz,
+                                lapack_int nzc, lapack_int* isuppz,
+                                lapack_logical* tryrac, double* work,
+                                lapack_int lwork, lapack_int* iwork,
+                                lapack_int liwork );
+
+lapack_int LAPACKE_ssteqr_work( int matrix_order, char compz, lapack_int n,
+                                float* d, float* e, float* z, lapack_int ldz,
+                                float* work );
+lapack_int LAPACKE_dsteqr_work( int matrix_order, char compz, lapack_int n,
+                                double* d, double* e, double* z, lapack_int ldz,
+                                double* work );
+lapack_int LAPACKE_csteqr_work( int matrix_order, char compz, lapack_int n,
+                                float* d, float* e, lapack_complex_float* z,
+                                lapack_int ldz, float* work );
+lapack_int LAPACKE_zsteqr_work( int matrix_order, char compz, lapack_int n,
+                                double* d, double* e, lapack_complex_double* z,
+                                lapack_int ldz, double* work );
+
+lapack_int LAPACKE_ssterf_work( lapack_int n, float* d, float* e );
+lapack_int LAPACKE_dsterf_work( lapack_int n, double* d, double* e );
+
+lapack_int LAPACKE_sstev_work( int matrix_order, char jobz, lapack_int n,
+                               float* d, float* e, float* z, lapack_int ldz,
+                               float* work );
+lapack_int LAPACKE_dstev_work( int matrix_order, char jobz, lapack_int n,
+                               double* d, double* e, double* z, lapack_int ldz,
+                               double* work );
+
+lapack_int LAPACKE_sstevd_work( int matrix_order, char jobz, lapack_int n,
+                                float* d, float* e, float* z, lapack_int ldz,
+                                float* work, lapack_int lwork,
+                                lapack_int* iwork, lapack_int liwork );
+lapack_int LAPACKE_dstevd_work( int matrix_order, char jobz, lapack_int n,
+                                double* d, double* e, double* z, lapack_int ldz,
+                                double* work, lapack_int lwork,
+                                lapack_int* iwork, lapack_int liwork );
+
+lapack_int LAPACKE_sstevr_work( int matrix_order, char jobz, char range,
+                                lapack_int n, float* d, float* e, float vl,
+                                float vu, lapack_int il, lapack_int iu,
+                                float abstol, lapack_int* m, float* w, float* z,
+                                lapack_int ldz, lapack_int* isuppz, float* work,
+                                lapack_int lwork, lapack_int* iwork,
+                                lapack_int liwork );
+lapack_int LAPACKE_dstevr_work( int matrix_order, char jobz, char range,
+                                lapack_int n, double* d, double* e, double vl,
+                                double vu, lapack_int il, lapack_int iu,
+                                double abstol, lapack_int* m, double* w,
+                                double* z, lapack_int ldz, lapack_int* isuppz,
+                                double* work, lapack_int lwork,
+                                lapack_int* iwork, lapack_int liwork );
+
+lapack_int LAPACKE_sstevx_work( int matrix_order, char jobz, char range,
+                                lapack_int n, float* d, float* e, float vl,
+                                float vu, lapack_int il, lapack_int iu,
+                                float abstol, lapack_int* m, float* w, float* z,
+                                lapack_int ldz, float* work, lapack_int* iwork,
+                                lapack_int* ifail );
+lapack_int LAPACKE_dstevx_work( int matrix_order, char jobz, char range,
+                                lapack_int n, double* d, double* e, double vl,
+                                double vu, lapack_int il, lapack_int iu,
+                                double abstol, lapack_int* m, double* w,
+                                double* z, lapack_int ldz, double* work,
+                                lapack_int* iwork, lapack_int* ifail );
+
+lapack_int LAPACKE_ssycon_work( int matrix_order, char uplo, lapack_int n,
+                                const float* a, lapack_int lda,
+                                const lapack_int* ipiv, float anorm,
+                                float* rcond, float* work, lapack_int* iwork );
+lapack_int LAPACKE_dsycon_work( int matrix_order, char uplo, lapack_int n,
+                                const double* a, lapack_int lda,
+                                const lapack_int* ipiv, double anorm,
+                                double* rcond, double* work,
+                                lapack_int* iwork );
+lapack_int LAPACKE_csycon_work( int matrix_order, char uplo, lapack_int n,
+                                const lapack_complex_float* a, lapack_int lda,
+                                const lapack_int* ipiv, float anorm,
+                                float* rcond, lapack_complex_float* work );
+lapack_int LAPACKE_zsycon_work( int matrix_order, char uplo, lapack_int n,
+                                const lapack_complex_double* a, lapack_int lda,
+                                const lapack_int* ipiv, double anorm,
+                                double* rcond, lapack_complex_double* work );
+
+lapack_int LAPACKE_ssyequb_work( int matrix_order, char uplo, lapack_int n,
+                                 const float* a, lapack_int lda, float* s,
+                                 float* scond, float* amax, float* work );
+lapack_int LAPACKE_dsyequb_work( int matrix_order, char uplo, lapack_int n,
+                                 const double* a, lapack_int lda, double* s,
+                                 double* scond, double* amax, double* work );
+lapack_int LAPACKE_csyequb_work( int matrix_order, char uplo, lapack_int n,
+                                 const lapack_complex_float* a, lapack_int lda,
+                                 float* s, float* scond, float* amax,
+                                 lapack_complex_float* work );
+lapack_int LAPACKE_zsyequb_work( int matrix_order, char uplo, lapack_int n,
+                                 const lapack_complex_double* a, lapack_int lda,
+                                 double* s, double* scond, double* amax,
+                                 lapack_complex_double* work );
+
+lapack_int LAPACKE_ssyev_work( int matrix_order, char jobz, char uplo,
+                               lapack_int n, float* a, lapack_int lda, float* w,
+                               float* work, lapack_int lwork );
+lapack_int LAPACKE_dsyev_work( int matrix_order, char jobz, char uplo,
+                               lapack_int n, double* a, lapack_int lda,
+                               double* w, double* work, lapack_int lwork );
+
+lapack_int LAPACKE_ssyevd_work( int matrix_order, char jobz, char uplo,
+                                lapack_int n, float* a, lapack_int lda,
+                                float* w, float* work, lapack_int lwork,
+                                lapack_int* iwork, lapack_int liwork );
+lapack_int LAPACKE_dsyevd_work( int matrix_order, char jobz, char uplo,
+                                lapack_int n, double* a, lapack_int lda,
+                                double* w, double* work, lapack_int lwork,
+                                lapack_int* iwork, lapack_int liwork );
+
+lapack_int LAPACKE_ssyevr_work( int matrix_order, char jobz, char range,
+                                char uplo, lapack_int n, float* a,
+                                lapack_int lda, float vl, float vu,
+                                lapack_int il, lapack_int iu, float abstol,
+                                lapack_int* m, float* w, float* z,
+                                lapack_int ldz, lapack_int* isuppz, float* work,
+                                lapack_int lwork, lapack_int* iwork,
+                                lapack_int liwork );
+lapack_int LAPACKE_dsyevr_work( int matrix_order, char jobz, char range,
+                                char uplo, lapack_int n, double* a,
+                                lapack_int lda, double vl, double vu,
+                                lapack_int il, lapack_int iu, double abstol,
+                                lapack_int* m, double* w, double* z,
+                                lapack_int ldz, lapack_int* isuppz,
+                                double* work, lapack_int lwork,
+                                lapack_int* iwork, lapack_int liwork );
+
+lapack_int LAPACKE_ssyevx_work( int matrix_order, char jobz, char range,
+                                char uplo, lapack_int n, float* a,
+                                lapack_int lda, float vl, float vu,
+                                lapack_int il, lapack_int iu, float abstol,
+                                lapack_int* m, float* w, float* z,
+                                lapack_int ldz, float* work, lapack_int lwork,
+                                lapack_int* iwork, lapack_int* ifail );
+lapack_int LAPACKE_dsyevx_work( int matrix_order, char jobz, char range,
+                                char uplo, lapack_int n, double* a,
+                                lapack_int lda, double vl, double vu,
+                                lapack_int il, lapack_int iu, double abstol,
+                                lapack_int* m, double* w, double* z,
+                                lapack_int ldz, double* work, lapack_int lwork,
+                                lapack_int* iwork, lapack_int* ifail );
+
+lapack_int LAPACKE_ssygst_work( int matrix_order, lapack_int itype, char uplo,
+                                lapack_int n, float* a, lapack_int lda,
+                                const float* b, lapack_int ldb );
+lapack_int LAPACKE_dsygst_work( int matrix_order, lapack_int itype, char uplo,
+                                lapack_int n, double* a, lapack_int lda,
+                                const double* b, lapack_int ldb );
+
+lapack_int LAPACKE_ssygv_work( int matrix_order, lapack_int itype, char jobz,
+                               char uplo, lapack_int n, float* a,
+                               lapack_int lda, float* b, lapack_int ldb,
+                               float* w, float* work, lapack_int lwork );
+lapack_int LAPACKE_dsygv_work( int matrix_order, lapack_int itype, char jobz,
+                               char uplo, lapack_int n, double* a,
+                               lapack_int lda, double* b, lapack_int ldb,
+                               double* w, double* work, lapack_int lwork );
+
+lapack_int LAPACKE_ssygvd_work( int matrix_order, lapack_int itype, char jobz,
+                                char uplo, lapack_int n, float* a,
+                                lapack_int lda, float* b, lapack_int ldb,
+                                float* w, float* work, lapack_int lwork,
+                                lapack_int* iwork, lapack_int liwork );
+lapack_int LAPACKE_dsygvd_work( int matrix_order, lapack_int itype, char jobz,
+                                char uplo, lapack_int n, double* a,
+                                lapack_int lda, double* b, lapack_int ldb,
+                                double* w, double* work, lapack_int lwork,
+                                lapack_int* iwork, lapack_int liwork );
+
+lapack_int LAPACKE_ssygvx_work( int matrix_order, lapack_int itype, char jobz,
+                                char range, char uplo, lapack_int n, float* a,
+                                lapack_int lda, float* b, lapack_int ldb,
+                                float vl, float vu, lapack_int il,
+                                lapack_int iu, float abstol, lapack_int* m,
+                                float* w, float* z, lapack_int ldz, float* work,
+                                lapack_int lwork, lapack_int* iwork,
+                                lapack_int* ifail );
+lapack_int LAPACKE_dsygvx_work( int matrix_order, lapack_int itype, char jobz,
+                                char range, char uplo, lapack_int n, double* a,
+                                lapack_int lda, double* b, lapack_int ldb,
+                                double vl, double vu, lapack_int il,
+                                lapack_int iu, double abstol, lapack_int* m,
+                                double* w, double* z, lapack_int ldz,
+                                double* work, lapack_int lwork,
+                                lapack_int* iwork, lapack_int* ifail );
+
+lapack_int LAPACKE_ssyrfs_work( int matrix_order, char uplo, lapack_int n,
+                                lapack_int nrhs, const float* a, lapack_int lda,
+                                const float* af, lapack_int ldaf,
+                                const lapack_int* ipiv, const float* b,
+                                lapack_int ldb, float* x, lapack_int ldx,
+                                float* ferr, float* berr, float* work,
+                                lapack_int* iwork );
+lapack_int LAPACKE_dsyrfs_work( int matrix_order, char uplo, lapack_int n,
+                                lapack_int nrhs, const double* a,
+                                lapack_int lda, const double* af,
+                                lapack_int ldaf, const lapack_int* ipiv,
+                                const double* b, lapack_int ldb, double* x,
+                                lapack_int ldx, double* ferr, double* berr,
+                                double* work, lapack_int* iwork );
+lapack_int LAPACKE_csyrfs_work( int matrix_order, char uplo, lapack_int n,
+                                lapack_int nrhs, const lapack_complex_float* a,
+                                lapack_int lda, const lapack_complex_float* af,
+                                lapack_int ldaf, const lapack_int* ipiv,
+                                const lapack_complex_float* b, lapack_int ldb,
+                                lapack_complex_float* x, lapack_int ldx,
+                                float* ferr, float* berr,
+                                lapack_complex_float* work, float* rwork );
+lapack_int LAPACKE_zsyrfs_work( int matrix_order, char uplo, lapack_int n,
+                                lapack_int nrhs, const lapack_complex_double* a,
+                                lapack_int lda, const lapack_complex_double* af,
+                                lapack_int ldaf, const lapack_int* ipiv,
+                                const lapack_complex_double* b, lapack_int ldb,
+                                lapack_complex_double* x, lapack_int ldx,
+                                double* ferr, double* berr,
+                                lapack_complex_double* work, double* rwork );
+
+lapack_int LAPACKE_ssyrfsx_work( int matrix_order, char uplo, char equed,
+                                 lapack_int n, lapack_int nrhs, const float* a,
+                                 lapack_int lda, const float* af,
+                                 lapack_int ldaf, const lapack_int* ipiv,
+                                 const float* s, const float* b, lapack_int ldb,
+                                 float* x, lapack_int ldx, float* rcond,
+                                 float* berr, lapack_int n_err_bnds,
+                                 float* err_bnds_norm, float* err_bnds_comp,
+                                 lapack_int nparams, float* params, float* work,
+                                 lapack_int* iwork );
+lapack_int LAPACKE_dsyrfsx_work( int matrix_order, char uplo, char equed,
+                                 lapack_int n, lapack_int nrhs, const double* a,
+                                 lapack_int lda, const double* af,
+                                 lapack_int ldaf, const lapack_int* ipiv,
+                                 const double* s, const double* b,
+                                 lapack_int ldb, double* x, lapack_int ldx,
+                                 double* rcond, double* berr,
+                                 lapack_int n_err_bnds, double* err_bnds_norm,
+                                 double* err_bnds_comp, lapack_int nparams,
+                                 double* params, double* work,
+                                 lapack_int* iwork );
+lapack_int LAPACKE_csyrfsx_work( int matrix_order, char uplo, char equed,
+                                 lapack_int n, lapack_int nrhs,
+                                 const lapack_complex_float* a, lapack_int lda,
+                                 const lapack_complex_float* af,
+                                 lapack_int ldaf, const lapack_int* ipiv,
+                                 const float* s, const lapack_complex_float* b,
+                                 lapack_int ldb, lapack_complex_float* x,
+                                 lapack_int ldx, float* rcond, float* berr,
+                                 lapack_int n_err_bnds, float* err_bnds_norm,
+                                 float* err_bnds_comp, lapack_int nparams,
+                                 float* params, lapack_complex_float* work,
+                                 float* rwork );
+lapack_int LAPACKE_zsyrfsx_work( int matrix_order, char uplo, char equed,
+                                 lapack_int n, lapack_int nrhs,
+                                 const lapack_complex_double* a, lapack_int lda,
+                                 const lapack_complex_double* af,
+                                 lapack_int ldaf, const lapack_int* ipiv,
+                                 const double* s,
+                                 const lapack_complex_double* b, lapack_int ldb,
+                                 lapack_complex_double* x, lapack_int ldx,
+                                 double* rcond, double* berr,
+                                 lapack_int n_err_bnds, double* err_bnds_norm,
+                                 double* err_bnds_comp, lapack_int nparams,
+                                 double* params, lapack_complex_double* work,
+                                 double* rwork );
+
+lapack_int LAPACKE_ssysv_work( int matrix_order, char uplo, lapack_int n,
+                               lapack_int nrhs, float* a, lapack_int lda,
+                               lapack_int* ipiv, float* b, lapack_int ldb,
+                               float* work, lapack_int lwork );
+lapack_int LAPACKE_dsysv_work( int matrix_order, char uplo, lapack_int n,
+                               lapack_int nrhs, double* a, lapack_int lda,
+                               lapack_int* ipiv, double* b, lapack_int ldb,
+                               double* work, lapack_int lwork );
+lapack_int LAPACKE_csysv_work( int matrix_order, char uplo, lapack_int n,
+                               lapack_int nrhs, lapack_complex_float* a,
+                               lapack_int lda, lapack_int* ipiv,
+                               lapack_complex_float* b, lapack_int ldb,
+                               lapack_complex_float* work, lapack_int lwork );
+lapack_int LAPACKE_zsysv_work( int matrix_order, char uplo, lapack_int n,
+                               lapack_int nrhs, lapack_complex_double* a,
+                               lapack_int lda, lapack_int* ipiv,
+                               lapack_complex_double* b, lapack_int ldb,
+                               lapack_complex_double* work, lapack_int lwork );
+
+lapack_int LAPACKE_ssysvx_work( int matrix_order, char fact, char uplo,
+                                lapack_int n, lapack_int nrhs, const float* a,
+                                lapack_int lda, float* af, lapack_int ldaf,
+                                lapack_int* ipiv, const float* b,
+                                lapack_int ldb, float* x, lapack_int ldx,
+                                float* rcond, float* ferr, float* berr,
+                                float* work, lapack_int lwork,
+                                lapack_int* iwork );
+lapack_int LAPACKE_dsysvx_work( int matrix_order, char fact, char uplo,
+                                lapack_int n, lapack_int nrhs, const double* a,
+                                lapack_int lda, double* af, lapack_int ldaf,
+                                lapack_int* ipiv, const double* b,
+                                lapack_int ldb, double* x, lapack_int ldx,
+                                double* rcond, double* ferr, double* berr,
+                                double* work, lapack_int lwork,
+                                lapack_int* iwork );
+lapack_int LAPACKE_csysvx_work( int matrix_order, char fact, char uplo,
+                                lapack_int n, lapack_int nrhs,
+                                const lapack_complex_float* a, lapack_int lda,
+                                lapack_complex_float* af, lapack_int ldaf,
+                                lapack_int* ipiv, const lapack_complex_float* b,
+                                lapack_int ldb, lapack_complex_float* x,
+                                lapack_int ldx, float* rcond, float* ferr,
+                                float* berr, lapack_complex_float* work,
+                                lapack_int lwork, float* rwork );
+lapack_int LAPACKE_zsysvx_work( int matrix_order, char fact, char uplo,
+                                lapack_int n, lapack_int nrhs,
+                                const lapack_complex_double* a, lapack_int lda,
+                                lapack_complex_double* af, lapack_int ldaf,
+                                lapack_int* ipiv,
+                                const lapack_complex_double* b, lapack_int ldb,
+                                lapack_complex_double* x, lapack_int ldx,
+                                double* rcond, double* ferr, double* berr,
+                                lapack_complex_double* work, lapack_int lwork,
+                                double* rwork );
+
+lapack_int LAPACKE_ssysvxx_work( int matrix_order, char fact, char uplo,
+                                 lapack_int n, lapack_int nrhs, float* a,
+                                 lapack_int lda, float* af, lapack_int ldaf,
+                                 lapack_int* ipiv, char* equed, float* s,
+                                 float* b, lapack_int ldb, float* x,
+                                 lapack_int ldx, float* rcond, float* rpvgrw,
+                                 float* berr, lapack_int n_err_bnds,
+                                 float* err_bnds_norm, float* err_bnds_comp,
+                                 lapack_int nparams, float* params, float* work,
+                                 lapack_int* iwork );
+lapack_int LAPACKE_dsysvxx_work( int matrix_order, char fact, char uplo,
+                                 lapack_int n, lapack_int nrhs, double* a,
+                                 lapack_int lda, double* af, lapack_int ldaf,
+                                 lapack_int* ipiv, char* equed, double* s,
+                                 double* b, lapack_int ldb, double* x,
+                                 lapack_int ldx, double* rcond, double* rpvgrw,
+                                 double* berr, lapack_int n_err_bnds,
+                                 double* err_bnds_norm, double* err_bnds_comp,
+                                 lapack_int nparams, double* params,
+                                 double* work, lapack_int* iwork );
+lapack_int LAPACKE_csysvxx_work( int matrix_order, char fact, char uplo,
+                                 lapack_int n, lapack_int nrhs,
+                                 lapack_complex_float* a, lapack_int lda,
+                                 lapack_complex_float* af, lapack_int ldaf,
+                                 lapack_int* ipiv, char* equed, float* s,
+                                 lapack_complex_float* b, lapack_int ldb,
+                                 lapack_complex_float* x, lapack_int ldx,
+                                 float* rcond, float* rpvgrw, float* berr,
+                                 lapack_int n_err_bnds, float* err_bnds_norm,
+                                 float* err_bnds_comp, lapack_int nparams,
+                                 float* params, lapack_complex_float* work,
+                                 float* rwork );
+lapack_int LAPACKE_zsysvxx_work( int matrix_order, char fact, char uplo,
+                                 lapack_int n, lapack_int nrhs,
+                                 lapack_complex_double* a, lapack_int lda,
+                                 lapack_complex_double* af, lapack_int ldaf,
+                                 lapack_int* ipiv, char* equed, double* s,
+                                 lapack_complex_double* b, lapack_int ldb,
+                                 lapack_complex_double* x, lapack_int ldx,
+                                 double* rcond, double* rpvgrw, double* berr,
+                                 lapack_int n_err_bnds, double* err_bnds_norm,
+                                 double* err_bnds_comp, lapack_int nparams,
+                                 double* params, lapack_complex_double* work,
+                                 double* rwork );
+
+lapack_int LAPACKE_ssytrd_work( int matrix_order, char uplo, lapack_int n,
+                                float* a, lapack_int lda, float* d, float* e,
+                                float* tau, float* work, lapack_int lwork );
+lapack_int LAPACKE_dsytrd_work( int matrix_order, char uplo, lapack_int n,
+                                double* a, lapack_int lda, double* d, double* e,
+                                double* tau, double* work, lapack_int lwork );
+
+lapack_int LAPACKE_ssytrf_work( int matrix_order, char uplo, lapack_int n,
+                                float* a, lapack_int lda, lapack_int* ipiv,
+                                float* work, lapack_int lwork );
+lapack_int LAPACKE_dsytrf_work( int matrix_order, char uplo, lapack_int n,
+                                double* a, lapack_int lda, lapack_int* ipiv,
+                                double* work, lapack_int lwork );
+lapack_int LAPACKE_csytrf_work( int matrix_order, char uplo, lapack_int n,
+                                lapack_complex_float* a, lapack_int lda,
+                                lapack_int* ipiv, lapack_complex_float* work,
+                                lapack_int lwork );
+lapack_int LAPACKE_zsytrf_work( int matrix_order, char uplo, lapack_int n,
+                                lapack_complex_double* a, lapack_int lda,
+                                lapack_int* ipiv, lapack_complex_double* work,
+                                lapack_int lwork );
+
+lapack_int LAPACKE_ssytri_work( int matrix_order, char uplo, lapack_int n,
+                                float* a, lapack_int lda,
+                                const lapack_int* ipiv, float* work );
+lapack_int LAPACKE_dsytri_work( int matrix_order, char uplo, lapack_int n,
+                                double* a, lapack_int lda,
+                                const lapack_int* ipiv, double* work );
+lapack_int LAPACKE_csytri_work( int matrix_order, char uplo, lapack_int n,
+                                lapack_complex_float* a, lapack_int lda,
+                                const lapack_int* ipiv,
+                                lapack_complex_float* work );
+lapack_int LAPACKE_zsytri_work( int matrix_order, char uplo, lapack_int n,
+                                lapack_complex_double* a, lapack_int lda,
+                                const lapack_int* ipiv,
+                                lapack_complex_double* work );
+
+lapack_int LAPACKE_ssytrs_work( int matrix_order, char uplo, lapack_int n,
+                                lapack_int nrhs, const float* a, lapack_int lda,
+                                const lapack_int* ipiv, float* b,
+                                lapack_int ldb );
+lapack_int LAPACKE_dsytrs_work( int matrix_order, char uplo, lapack_int n,
+                                lapack_int nrhs, const double* a,
+                                lapack_int lda, const lapack_int* ipiv,
+                                double* b, lapack_int ldb );
+lapack_int LAPACKE_csytrs_work( int matrix_order, char uplo, lapack_int n,
+                                lapack_int nrhs, const lapack_complex_float* a,
+                                lapack_int lda, const lapack_int* ipiv,
+                                lapack_complex_float* b, lapack_int ldb );
+lapack_int LAPACKE_zsytrs_work( int matrix_order, char uplo, lapack_int n,
+                                lapack_int nrhs, const lapack_complex_double* a,
+                                lapack_int lda, const lapack_int* ipiv,
+                                lapack_complex_double* b, lapack_int ldb );
+
+lapack_int LAPACKE_stbcon_work( int matrix_order, char norm, char uplo,
+                                char diag, lapack_int n, lapack_int kd,
+                                const float* ab, lapack_int ldab, float* rcond,
+                                float* work, lapack_int* iwork );
+lapack_int LAPACKE_dtbcon_work( int matrix_order, char norm, char uplo,
+                                char diag, lapack_int n, lapack_int kd,
+                                const double* ab, lapack_int ldab,
+                                double* rcond, double* work,
+                                lapack_int* iwork );
+lapack_int LAPACKE_ctbcon_work( int matrix_order, char norm, char uplo,
+                                char diag, lapack_int n, lapack_int kd,
+                                const lapack_complex_float* ab, lapack_int ldab,
+                                float* rcond, lapack_complex_float* work,
+                                float* rwork );
+lapack_int LAPACKE_ztbcon_work( int matrix_order, char norm, char uplo,
+                                char diag, lapack_int n, lapack_int kd,
+                                const lapack_complex_double* ab,
+                                lapack_int ldab, double* rcond,
+                                lapack_complex_double* work, double* rwork );
+
+lapack_int LAPACKE_stbrfs_work( int matrix_order, char uplo, char trans,
+                                char diag, lapack_int n, lapack_int kd,
+                                lapack_int nrhs, const float* ab,
+                                lapack_int ldab, const float* b, lapack_int ldb,
+                                const float* x, lapack_int ldx, float* ferr,
+                                float* berr, float* work, lapack_int* iwork );
+lapack_int LAPACKE_dtbrfs_work( int matrix_order, char uplo, char trans,
+                                char diag, lapack_int n, lapack_int kd,
+                                lapack_int nrhs, const double* ab,
+                                lapack_int ldab, const double* b,
+                                lapack_int ldb, const double* x, lapack_int ldx,
+                                double* ferr, double* berr, double* work,
+                                lapack_int* iwork );
+lapack_int LAPACKE_ctbrfs_work( int matrix_order, char uplo, char trans,
+                                char diag, lapack_int n, lapack_int kd,
+                                lapack_int nrhs, const lapack_complex_float* ab,
+                                lapack_int ldab, const lapack_complex_float* b,
+                                lapack_int ldb, const lapack_complex_float* x,
+                                lapack_int ldx, float* ferr, float* berr,
+                                lapack_complex_float* work, float* rwork );
+lapack_int LAPACKE_ztbrfs_work( int matrix_order, char uplo, char trans,
+                                char diag, lapack_int n, lapack_int kd,
+                                lapack_int nrhs,
+                                const lapack_complex_double* ab,
+                                lapack_int ldab, const lapack_complex_double* b,
+                                lapack_int ldb, const lapack_complex_double* x,
+                                lapack_int ldx, double* ferr, double* berr,
+                                lapack_complex_double* work, double* rwork );
+
+lapack_int LAPACKE_stbtrs_work( int matrix_order, char uplo, char trans,
+                                char diag, lapack_int n, lapack_int kd,
+                                lapack_int nrhs, const float* ab,
+                                lapack_int ldab, float* b, lapack_int ldb );
+lapack_int LAPACKE_dtbtrs_work( int matrix_order, char uplo, char trans,
+                                char diag, lapack_int n, lapack_int kd,
+                                lapack_int nrhs, const double* ab,
+                                lapack_int ldab, double* b, lapack_int ldb );
+lapack_int LAPACKE_ctbtrs_work( int matrix_order, char uplo, char trans,
+                                char diag, lapack_int n, lapack_int kd,
+                                lapack_int nrhs, const lapack_complex_float* ab,
+                                lapack_int ldab, lapack_complex_float* b,
+                                lapack_int ldb );
+lapack_int LAPACKE_ztbtrs_work( int matrix_order, char uplo, char trans,
+                                char diag, lapack_int n, lapack_int kd,
+                                lapack_int nrhs,
+                                const lapack_complex_double* ab,
+                                lapack_int ldab, lapack_complex_double* b,
+                                lapack_int ldb );
+
+lapack_int LAPACKE_stfsm_work( int matrix_order, char transr, char side,
+                               char uplo, char trans, char diag, lapack_int m,
+                               lapack_int n, float alpha, const float* a,
+                               float* b, lapack_int ldb );
+lapack_int LAPACKE_dtfsm_work( int matrix_order, char transr, char side,
+                               char uplo, char trans, char diag, lapack_int m,
+                               lapack_int n, double alpha, const double* a,
+                               double* b, lapack_int ldb );
+lapack_int LAPACKE_ctfsm_work( int matrix_order, char transr, char side,
+                               char uplo, char trans, char diag, lapack_int m,
+                               lapack_int n, lapack_complex_float alpha,
+                               const lapack_complex_float* a,
+                               lapack_complex_float* b, lapack_int ldb );
+lapack_int LAPACKE_ztfsm_work( int matrix_order, char transr, char side,
+                               char uplo, char trans, char diag, lapack_int m,
+                               lapack_int n, lapack_complex_double alpha,
+                               const lapack_complex_double* a,
+                               lapack_complex_double* b, lapack_int ldb );
+
+lapack_int LAPACKE_stftri_work( int matrix_order, char transr, char uplo,
+                                char diag, lapack_int n, float* a );
+lapack_int LAPACKE_dtftri_work( int matrix_order, char transr, char uplo,
+                                char diag, lapack_int n, double* a );
+lapack_int LAPACKE_ctftri_work( int matrix_order, char transr, char uplo,
+                                char diag, lapack_int n,
+                                lapack_complex_float* a );
+lapack_int LAPACKE_ztftri_work( int matrix_order, char transr, char uplo,
+                                char diag, lapack_int n,
+                                lapack_complex_double* a );
+
+lapack_int LAPACKE_stfttp_work( int matrix_order, char transr, char uplo,
+                                lapack_int n, const float* arf, float* ap );
+lapack_int LAPACKE_dtfttp_work( int matrix_order, char transr, char uplo,
+                                lapack_int n, const double* arf, double* ap );
+lapack_int LAPACKE_ctfttp_work( int matrix_order, char transr, char uplo,
+                                lapack_int n, const lapack_complex_float* arf,
+                                lapack_complex_float* ap );
+lapack_int LAPACKE_ztfttp_work( int matrix_order, char transr, char uplo,
+                                lapack_int n, const lapack_complex_double* arf,
+                                lapack_complex_double* ap );
+
+lapack_int LAPACKE_stfttr_work( int matrix_order, char transr, char uplo,
+                                lapack_int n, const float* arf, float* a,
+                                lapack_int lda );
+lapack_int LAPACKE_dtfttr_work( int matrix_order, char transr, char uplo,
+                                lapack_int n, const double* arf, double* a,
+                                lapack_int lda );
+lapack_int LAPACKE_ctfttr_work( int matrix_order, char transr, char uplo,
+                                lapack_int n, const lapack_complex_float* arf,
+                                lapack_complex_float* a, lapack_int lda );
+lapack_int LAPACKE_ztfttr_work( int matrix_order, char transr, char uplo,
+                                lapack_int n, const lapack_complex_double* arf,
+                                lapack_complex_double* a, lapack_int lda );
+
+lapack_int LAPACKE_stgevc_work( int matrix_order, char side, char howmny,
+                                const lapack_logical* select, lapack_int n,
+                                const float* s, lapack_int lds, const float* p,
+                                lapack_int ldp, float* vl, lapack_int ldvl,
+                                float* vr, lapack_int ldvr, lapack_int mm,
+                                lapack_int* m, float* work );
+lapack_int LAPACKE_dtgevc_work( int matrix_order, char side, char howmny,
+                                const lapack_logical* select, lapack_int n,
+                                const double* s, lapack_int lds,
+                                const double* p, lapack_int ldp, double* vl,
+                                lapack_int ldvl, double* vr, lapack_int ldvr,
+                                lapack_int mm, lapack_int* m, double* work );
+lapack_int LAPACKE_ctgevc_work( int matrix_order, char side, char howmny,
+                                const lapack_logical* select, lapack_int n,
+                                const lapack_complex_float* s, lapack_int lds,
+                                const lapack_complex_float* p, lapack_int ldp,
+                                lapack_complex_float* vl, lapack_int ldvl,
+                                lapack_complex_float* vr, lapack_int ldvr,
+                                lapack_int mm, lapack_int* m,
+                                lapack_complex_float* work, float* rwork );
+lapack_int LAPACKE_ztgevc_work( int matrix_order, char side, char howmny,
+                                const lapack_logical* select, lapack_int n,
+                                const lapack_complex_double* s, lapack_int lds,
+                                const lapack_complex_double* p, lapack_int ldp,
+                                lapack_complex_double* vl, lapack_int ldvl,
+                                lapack_complex_double* vr, lapack_int ldvr,
+                                lapack_int mm, lapack_int* m,
+                                lapack_complex_double* work, double* rwork );
+
+lapack_int LAPACKE_stgexc_work( int matrix_order, lapack_logical wantq,
+                                lapack_logical wantz, lapack_int n, float* a,
+                                lapack_int lda, float* b, lapack_int ldb,
+                                float* q, lapack_int ldq, float* z,
+                                lapack_int ldz, lapack_int* ifst,
+                                lapack_int* ilst, float* work,
+                                lapack_int lwork );
+lapack_int LAPACKE_dtgexc_work( int matrix_order, lapack_logical wantq,
+                                lapack_logical wantz, lapack_int n, double* a,
+                                lapack_int lda, double* b, lapack_int ldb,
+                                double* q, lapack_int ldq, double* z,
+                                lapack_int ldz, lapack_int* ifst,
+                                lapack_int* ilst, double* work,
+                                lapack_int lwork );
+lapack_int LAPACKE_ctgexc_work( int matrix_order, lapack_logical wantq,
+                                lapack_logical wantz, lapack_int n,
+                                lapack_complex_float* a, lapack_int lda,
+                                lapack_complex_float* b, lapack_int ldb,
+                                lapack_complex_float* q, lapack_int ldq,
+                                lapack_complex_float* z, lapack_int ldz,
+                                lapack_int ifst, lapack_int ilst );
+lapack_int LAPACKE_ztgexc_work( int matrix_order, lapack_logical wantq,
+                                lapack_logical wantz, lapack_int n,
+                                lapack_complex_double* a, lapack_int lda,
+                                lapack_complex_double* b, lapack_int ldb,
+                                lapack_complex_double* q, lapack_int ldq,
+                                lapack_complex_double* z, lapack_int ldz,
+                                lapack_int ifst, lapack_int ilst );
+
+lapack_int LAPACKE_stgsen_work( int matrix_order, lapack_int ijob,
+                                lapack_logical wantq, lapack_logical wantz,
+                                const lapack_logical* select, lapack_int n,
+                                float* a, lapack_int lda, float* b,
+                                lapack_int ldb, float* alphar, float* alphai,
+                                float* beta, float* q, lapack_int ldq, float* z,
+                                lapack_int ldz, lapack_int* m, float* pl,
+                                float* pr, float* dif, float* work,
+                                lapack_int lwork, lapack_int* iwork,
+                                lapack_int liwork );
+lapack_int LAPACKE_dtgsen_work( int matrix_order, lapack_int ijob,
+                                lapack_logical wantq, lapack_logical wantz,
+                                const lapack_logical* select, lapack_int n,
+                                double* a, lapack_int lda, double* b,
+                                lapack_int ldb, double* alphar, double* alphai,
+                                double* beta, double* q, lapack_int ldq,
+                                double* z, lapack_int ldz, lapack_int* m,
+                                double* pl, double* pr, double* dif,
+                                double* work, lapack_int lwork,
+                                lapack_int* iwork, lapack_int liwork );
+lapack_int LAPACKE_ctgsen_work( int matrix_order, lapack_int ijob,
+                                lapack_logical wantq, lapack_logical wantz,
+                                const lapack_logical* select, lapack_int n,
+                                lapack_complex_float* a, lapack_int lda,
+                                lapack_complex_float* b, lapack_int ldb,
+                                lapack_complex_float* alpha,
+                                lapack_complex_float* beta,
+                                lapack_complex_float* q, lapack_int ldq,
+                                lapack_complex_float* z, lapack_int ldz,
+                                lapack_int* m, float* pl, float* pr, float* dif,
+                                lapack_complex_float* work, lapack_int lwork,
+                                lapack_int* iwork, lapack_int liwork );
+lapack_int LAPACKE_ztgsen_work( int matrix_order, lapack_int ijob,
+                                lapack_logical wantq, lapack_logical wantz,
+                                const lapack_logical* select, lapack_int n,
+                                lapack_complex_double* a, lapack_int lda,
+                                lapack_complex_double* b, lapack_int ldb,
+                                lapack_complex_double* alpha,
+                                lapack_complex_double* beta,
+                                lapack_complex_double* q, lapack_int ldq,
+                                lapack_complex_double* z, lapack_int ldz,
+                                lapack_int* m, double* pl, double* pr,
+                                double* dif, lapack_complex_double* work,
+                                lapack_int lwork, lapack_int* iwork,
+                                lapack_int liwork );
+
+lapack_int LAPACKE_stgsja_work( int matrix_order, char jobu, char jobv,
+                                char jobq, lapack_int m, lapack_int p,
+                                lapack_int n, lapack_int k, lapack_int l,
+                                float* a, lapack_int lda, float* b,
+                                lapack_int ldb, float tola, float tolb,
+                                float* alpha, float* beta, float* u,
+                                lapack_int ldu, float* v, lapack_int ldv,
+                                float* q, lapack_int ldq, float* work,
+                                lapack_int* ncycle );
+lapack_int LAPACKE_dtgsja_work( int matrix_order, char jobu, char jobv,
+                                char jobq, lapack_int m, lapack_int p,
+                                lapack_int n, lapack_int k, lapack_int l,
+                                double* a, lapack_int lda, double* b,
+                                lapack_int ldb, double tola, double tolb,
+                                double* alpha, double* beta, double* u,
+                                lapack_int ldu, double* v, lapack_int ldv,
+                                double* q, lapack_int ldq, double* work,
+                                lapack_int* ncycle );
+lapack_int LAPACKE_ctgsja_work( int matrix_order, char jobu, char jobv,
+                                char jobq, lapack_int m, lapack_int p,
+                                lapack_int n, lapack_int k, lapack_int l,
+                                lapack_complex_float* a, lapack_int lda,
+                                lapack_complex_float* b, lapack_int ldb,
+                                float tola, float tolb, float* alpha,
+                                float* beta, lapack_complex_float* u,
+                                lapack_int ldu, lapack_complex_float* v,
+                                lapack_int ldv, lapack_complex_float* q,
+                                lapack_int ldq, lapack_complex_float* work,
+                                lapack_int* ncycle );
+lapack_int LAPACKE_ztgsja_work( int matrix_order, char jobu, char jobv,
+                                char jobq, lapack_int m, lapack_int p,
+                                lapack_int n, lapack_int k, lapack_int l,
+                                lapack_complex_double* a, lapack_int lda,
+                                lapack_complex_double* b, lapack_int ldb,
+                                double tola, double tolb, double* alpha,
+                                double* beta, lapack_complex_double* u,
+                                lapack_int ldu, lapack_complex_double* v,
+                                lapack_int ldv, lapack_complex_double* q,
+                                lapack_int ldq, lapack_complex_double* work,
+                                lapack_int* ncycle );
+
+lapack_int LAPACKE_stgsna_work( int matrix_order, char job, char howmny,
+                                const lapack_logical* select, lapack_int n,
+                                const float* a, lapack_int lda, const float* b,
+                                lapack_int ldb, const float* vl,
+                                lapack_int ldvl, const float* vr,
+                                lapack_int ldvr, float* s, float* dif,
+                                lapack_int mm, lapack_int* m, float* work,
+                                lapack_int lwork, lapack_int* iwork );
+lapack_int LAPACKE_dtgsna_work( int matrix_order, char job, char howmny,
+                                const lapack_logical* select, lapack_int n,
+                                const double* a, lapack_int lda,
+                                const double* b, lapack_int ldb,
+                                const double* vl, lapack_int ldvl,
+                                const double* vr, lapack_int ldvr, double* s,
+                                double* dif, lapack_int mm, lapack_int* m,
+                                double* work, lapack_int lwork,
+                                lapack_int* iwork );
+lapack_int LAPACKE_ctgsna_work( int matrix_order, char job, char howmny,
+                                const lapack_logical* select, lapack_int n,
+                                const lapack_complex_float* a, lapack_int lda,
+                                const lapack_complex_float* b, lapack_int ldb,
+                                const lapack_complex_float* vl, lapack_int ldvl,
+                                const lapack_complex_float* vr, lapack_int ldvr,
+                                float* s, float* dif, lapack_int mm,
+                                lapack_int* m, lapack_complex_float* work,
+                                lapack_int lwork, lapack_int* iwork );
+lapack_int LAPACKE_ztgsna_work( int matrix_order, char job, char howmny,
+                                const lapack_logical* select, lapack_int n,
+                                const lapack_complex_double* a, lapack_int lda,
+                                const lapack_complex_double* b, lapack_int ldb,
+                                const lapack_complex_double* vl,
+                                lapack_int ldvl,
+                                const lapack_complex_double* vr,
+                                lapack_int ldvr, double* s, double* dif,
+                                lapack_int mm, lapack_int* m,
+                                lapack_complex_double* work, lapack_int lwork,
+                                lapack_int* iwork );
+
+lapack_int LAPACKE_stgsyl_work( int matrix_order, char trans, lapack_int ijob,
+                                lapack_int m, lapack_int n, const float* a,
+                                lapack_int lda, const float* b, lapack_int ldb,
+                                float* c, lapack_int ldc, const float* d,
+                                lapack_int ldd, const float* e, lapack_int lde,
+                                float* f, lapack_int ldf, float* scale,
+                                float* dif, float* work, lapack_int lwork,
+                                lapack_int* iwork );
+lapack_int LAPACKE_dtgsyl_work( int matrix_order, char trans, lapack_int ijob,
+                                lapack_int m, lapack_int n, const double* a,
+                                lapack_int lda, const double* b, lapack_int ldb,
+                                double* c, lapack_int ldc, const double* d,
+                                lapack_int ldd, const double* e, lapack_int lde,
+                                double* f, lapack_int ldf, double* scale,
+                                double* dif, double* work, lapack_int lwork,
+                                lapack_int* iwork );
+lapack_int LAPACKE_ctgsyl_work( int matrix_order, char trans, lapack_int ijob,
+                                lapack_int m, lapack_int n,
+                                const lapack_complex_float* a, lapack_int lda,
+                                const lapack_complex_float* b, lapack_int ldb,
+                                lapack_complex_float* c, lapack_int ldc,
+                                const lapack_complex_float* d, lapack_int ldd,
+                                const lapack_complex_float* e, lapack_int lde,
+                                lapack_complex_float* f, lapack_int ldf,
+                                float* scale, float* dif,
+                                lapack_complex_float* work, lapack_int lwork,
+                                lapack_int* iwork );
+lapack_int LAPACKE_ztgsyl_work( int matrix_order, char trans, lapack_int ijob,
+                                lapack_int m, lapack_int n,
+                                const lapack_complex_double* a, lapack_int lda,
+                                const lapack_complex_double* b, lapack_int ldb,
+                                lapack_complex_double* c, lapack_int ldc,
+                                const lapack_complex_double* d, lapack_int ldd,
+                                const lapack_complex_double* e, lapack_int lde,
+                                lapack_complex_double* f, lapack_int ldf,
+                                double* scale, double* dif,
+                                lapack_complex_double* work, lapack_int lwork,
+                                lapack_int* iwork );
+
+lapack_int LAPACKE_stpcon_work( int matrix_order, char norm, char uplo,
+                                char diag, lapack_int n, const float* ap,
+                                float* rcond, float* work, lapack_int* iwork );
+lapack_int LAPACKE_dtpcon_work( int matrix_order, char norm, char uplo,
+                                char diag, lapack_int n, const double* ap,
+                                double* rcond, double* work,
+                                lapack_int* iwork );
+lapack_int LAPACKE_ctpcon_work( int matrix_order, char norm, char uplo,
+                                char diag, lapack_int n,
+                                const lapack_complex_float* ap, float* rcond,
+                                lapack_complex_float* work, float* rwork );
+lapack_int LAPACKE_ztpcon_work( int matrix_order, char norm, char uplo,
+                                char diag, lapack_int n,
+                                const lapack_complex_double* ap, double* rcond,
+                                lapack_complex_double* work, double* rwork );
+
+lapack_int LAPACKE_stprfs_work( int matrix_order, char uplo, char trans,
+                                char diag, lapack_int n, lapack_int nrhs,
+                                const float* ap, const float* b, lapack_int ldb,
+                                const float* x, lapack_int ldx, float* ferr,
+                                float* berr, float* work, lapack_int* iwork );
+lapack_int LAPACKE_dtprfs_work( int matrix_order, char uplo, char trans,
+                                char diag, lapack_int n, lapack_int nrhs,
+                                const double* ap, const double* b,
+                                lapack_int ldb, const double* x, lapack_int ldx,
+                                double* ferr, double* berr, double* work,
+                                lapack_int* iwork );
+lapack_int LAPACKE_ctprfs_work( int matrix_order, char uplo, char trans,
+                                char diag, lapack_int n, lapack_int nrhs,
+                                const lapack_complex_float* ap,
+                                const lapack_complex_float* b, lapack_int ldb,
+                                const lapack_complex_float* x, lapack_int ldx,
+                                float* ferr, float* berr,
+                                lapack_complex_float* work, float* rwork );
+lapack_int LAPACKE_ztprfs_work( int matrix_order, char uplo, char trans,
+                                char diag, lapack_int n, lapack_int nrhs,
+                                const lapack_complex_double* ap,
+                                const lapack_complex_double* b, lapack_int ldb,
+                                const lapack_complex_double* x, lapack_int ldx,
+                                double* ferr, double* berr,
+                                lapack_complex_double* work, double* rwork );
+
+lapack_int LAPACKE_stptri_work( int matrix_order, char uplo, char diag,
+                                lapack_int n, float* ap );
+lapack_int LAPACKE_dtptri_work( int matrix_order, char uplo, char diag,
+                                lapack_int n, double* ap );
+lapack_int LAPACKE_ctptri_work( int matrix_order, char uplo, char diag,
+                                lapack_int n, lapack_complex_float* ap );
+lapack_int LAPACKE_ztptri_work( int matrix_order, char uplo, char diag,
+                                lapack_int n, lapack_complex_double* ap );
+
+lapack_int LAPACKE_stptrs_work( int matrix_order, char uplo, char trans,
+                                char diag, lapack_int n, lapack_int nrhs,
+                                const float* ap, float* b, lapack_int ldb );
+lapack_int LAPACKE_dtptrs_work( int matrix_order, char uplo, char trans,
+                                char diag, lapack_int n, lapack_int nrhs,
+                                const double* ap, double* b, lapack_int ldb );
+lapack_int LAPACKE_ctptrs_work( int matrix_order, char uplo, char trans,
+                                char diag, lapack_int n, lapack_int nrhs,
+                                const lapack_complex_float* ap,
+                                lapack_complex_float* b, lapack_int ldb );
+lapack_int LAPACKE_ztptrs_work( int matrix_order, char uplo, char trans,
+                                char diag, lapack_int n, lapack_int nrhs,
+                                const lapack_complex_double* ap,
+                                lapack_complex_double* b, lapack_int ldb );
+
+lapack_int LAPACKE_stpttf_work( int matrix_order, char transr, char uplo,
+                                lapack_int n, const float* ap, float* arf );
+lapack_int LAPACKE_dtpttf_work( int matrix_order, char transr, char uplo,
+                                lapack_int n, const double* ap, double* arf );
+lapack_int LAPACKE_ctpttf_work( int matrix_order, char transr, char uplo,
+                                lapack_int n, const lapack_complex_float* ap,
+                                lapack_complex_float* arf );
+lapack_int LAPACKE_ztpttf_work( int matrix_order, char transr, char uplo,
+                                lapack_int n, const lapack_complex_double* ap,
+                                lapack_complex_double* arf );
+
+lapack_int LAPACKE_stpttr_work( int matrix_order, char uplo, lapack_int n,
+                                const float* ap, float* a, lapack_int lda );
+lapack_int LAPACKE_dtpttr_work( int matrix_order, char uplo, lapack_int n,
+                                const double* ap, double* a, lapack_int lda );
+lapack_int LAPACKE_ctpttr_work( int matrix_order, char uplo, lapack_int n,
+                                const lapack_complex_float* ap,
+                                lapack_complex_float* a, lapack_int lda );
+lapack_int LAPACKE_ztpttr_work( int matrix_order, char uplo, lapack_int n,
+                                const lapack_complex_double* ap,
+                                lapack_complex_double* a, lapack_int lda );
+
+lapack_int LAPACKE_strcon_work( int matrix_order, char norm, char uplo,
+                                char diag, lapack_int n, const float* a,
+                                lapack_int lda, float* rcond, float* work,
+                                lapack_int* iwork );
+lapack_int LAPACKE_dtrcon_work( int matrix_order, char norm, char uplo,
+                                char diag, lapack_int n, const double* a,
+                                lapack_int lda, double* rcond, double* work,
+                                lapack_int* iwork );
+lapack_int LAPACKE_ctrcon_work( int matrix_order, char norm, char uplo,
+                                char diag, lapack_int n,
+                                const lapack_complex_float* a, lapack_int lda,
+                                float* rcond, lapack_complex_float* work,
+                                float* rwork );
+lapack_int LAPACKE_ztrcon_work( int matrix_order, char norm, char uplo,
+                                char diag, lapack_int n,
+                                const lapack_complex_double* a, lapack_int lda,
+                                double* rcond, lapack_complex_double* work,
+                                double* rwork );
+
+lapack_int LAPACKE_strevc_work( int matrix_order, char side, char howmny,
+                                lapack_logical* select, lapack_int n,
+                                const float* t, lapack_int ldt, float* vl,
+                                lapack_int ldvl, float* vr, lapack_int ldvr,
+                                lapack_int mm, lapack_int* m, float* work );
+lapack_int LAPACKE_dtrevc_work( int matrix_order, char side, char howmny,
+                                lapack_logical* select, lapack_int n,
+                                const double* t, lapack_int ldt, double* vl,
+                                lapack_int ldvl, double* vr, lapack_int ldvr,
+                                lapack_int mm, lapack_int* m, double* work );
+lapack_int LAPACKE_ctrevc_work( int matrix_order, char side, char howmny,
+                                const lapack_logical* select, lapack_int n,
+                                lapack_complex_float* t, lapack_int ldt,
+                                lapack_complex_float* vl, lapack_int ldvl,
+                                lapack_complex_float* vr, lapack_int ldvr,
+                                lapack_int mm, lapack_int* m,
+                                lapack_complex_float* work, float* rwork );
+lapack_int LAPACKE_ztrevc_work( int matrix_order, char side, char howmny,
+                                const lapack_logical* select, lapack_int n,
+                                lapack_complex_double* t, lapack_int ldt,
+                                lapack_complex_double* vl, lapack_int ldvl,
+                                lapack_complex_double* vr, lapack_int ldvr,
+                                lapack_int mm, lapack_int* m,
+                                lapack_complex_double* work, double* rwork );
+
+lapack_int LAPACKE_strexc_work( int matrix_order, char compq, lapack_int n,
+                                float* t, lapack_int ldt, float* q,
+                                lapack_int ldq, lapack_int* ifst,
+                                lapack_int* ilst, float* work );
+lapack_int LAPACKE_dtrexc_work( int matrix_order, char compq, lapack_int n,
+                                double* t, lapack_int ldt, double* q,
+                                lapack_int ldq, lapack_int* ifst,
+                                lapack_int* ilst, double* work );
+lapack_int LAPACKE_ctrexc_work( int matrix_order, char compq, lapack_int n,
+                                lapack_complex_float* t, lapack_int ldt,
+                                lapack_complex_float* q, lapack_int ldq,
+                                lapack_int ifst, lapack_int ilst );
+lapack_int LAPACKE_ztrexc_work( int matrix_order, char compq, lapack_int n,
+                                lapack_complex_double* t, lapack_int ldt,
+                                lapack_complex_double* q, lapack_int ldq,
+                                lapack_int ifst, lapack_int ilst );
+
+lapack_int LAPACKE_strrfs_work( int matrix_order, char uplo, char trans,
+                                char diag, lapack_int n, lapack_int nrhs,
+                                const float* a, lapack_int lda, const float* b,
+                                lapack_int ldb, const float* x, lapack_int ldx,
+                                float* ferr, float* berr, float* work,
+                                lapack_int* iwork );
+lapack_int LAPACKE_dtrrfs_work( int matrix_order, char uplo, char trans,
+                                char diag, lapack_int n, lapack_int nrhs,
+                                const double* a, lapack_int lda,
+                                const double* b, lapack_int ldb,
+                                const double* x, lapack_int ldx, double* ferr,
+                                double* berr, double* work, lapack_int* iwork );
+lapack_int LAPACKE_ctrrfs_work( int matrix_order, char uplo, char trans,
+                                char diag, lapack_int n, lapack_int nrhs,
+                                const lapack_complex_float* a, lapack_int lda,
+                                const lapack_complex_float* b, lapack_int ldb,
+                                const lapack_complex_float* x, lapack_int ldx,
+                                float* ferr, float* berr,
+                                lapack_complex_float* work, float* rwork );
+lapack_int LAPACKE_ztrrfs_work( int matrix_order, char uplo, char trans,
+                                char diag, lapack_int n, lapack_int nrhs,
+                                const lapack_complex_double* a, lapack_int lda,
+                                const lapack_complex_double* b, lapack_int ldb,
+                                const lapack_complex_double* x, lapack_int ldx,
+                                double* ferr, double* berr,
+                                lapack_complex_double* work, double* rwork );
+
+lapack_int LAPACKE_strsen_work( int matrix_order, char job, char compq,
+                                const lapack_logical* select, lapack_int n,
+                                float* t, lapack_int ldt, float* q,
+                                lapack_int ldq, float* wr, float* wi,
+                                lapack_int* m, float* s, float* sep,
+                                float* work, lapack_int lwork,
+                                lapack_int* iwork, lapack_int liwork );
+lapack_int LAPACKE_dtrsen_work( int matrix_order, char job, char compq,
+                                const lapack_logical* select, lapack_int n,
+                                double* t, lapack_int ldt, double* q,
+                                lapack_int ldq, double* wr, double* wi,
+                                lapack_int* m, double* s, double* sep,
+                                double* work, lapack_int lwork,
+                                lapack_int* iwork, lapack_int liwork );
+lapack_int LAPACKE_ctrsen_work( int matrix_order, char job, char compq,
+                                const lapack_logical* select, lapack_int n,
+                                lapack_complex_float* t, lapack_int ldt,
+                                lapack_complex_float* q, lapack_int ldq,
+                                lapack_complex_float* w, lapack_int* m,
+                                float* s, float* sep,
+                                lapack_complex_float* work, lapack_int lwork );
+lapack_int LAPACKE_ztrsen_work( int matrix_order, char job, char compq,
+                                const lapack_logical* select, lapack_int n,
+                                lapack_complex_double* t, lapack_int ldt,
+                                lapack_complex_double* q, lapack_int ldq,
+                                lapack_complex_double* w, lapack_int* m,
+                                double* s, double* sep,
+                                lapack_complex_double* work, lapack_int lwork );
+
+lapack_int LAPACKE_strsna_work( int matrix_order, char job, char howmny,
+                                const lapack_logical* select, lapack_int n,
+                                const float* t, lapack_int ldt, const float* vl,
+                                lapack_int ldvl, const float* vr,
+                                lapack_int ldvr, float* s, float* sep,
+                                lapack_int mm, lapack_int* m, float* work,
+                                lapack_int ldwork, lapack_int* iwork );
+lapack_int LAPACKE_dtrsna_work( int matrix_order, char job, char howmny,
+                                const lapack_logical* select, lapack_int n,
+                                const double* t, lapack_int ldt,
+                                const double* vl, lapack_int ldvl,
+                                const double* vr, lapack_int ldvr, double* s,
+                                double* sep, lapack_int mm, lapack_int* m,
+                                double* work, lapack_int ldwork,
+                                lapack_int* iwork );
+lapack_int LAPACKE_ctrsna_work( int matrix_order, char job, char howmny,
+                                const lapack_logical* select, lapack_int n,
+                                const lapack_complex_float* t, lapack_int ldt,
+                                const lapack_complex_float* vl, lapack_int ldvl,
+                                const lapack_complex_float* vr, lapack_int ldvr,
+                                float* s, float* sep, lapack_int mm,
+                                lapack_int* m, lapack_complex_float* work,
+                                lapack_int ldwork, float* rwork );
+lapack_int LAPACKE_ztrsna_work( int matrix_order, char job, char howmny,
+                                const lapack_logical* select, lapack_int n,
+                                const lapack_complex_double* t, lapack_int ldt,
+                                const lapack_complex_double* vl,
+                                lapack_int ldvl,
+                                const lapack_complex_double* vr,
+                                lapack_int ldvr, double* s, double* sep,
+                                lapack_int mm, lapack_int* m,
+                                lapack_complex_double* work, lapack_int ldwork,
+                                double* rwork );
+
+lapack_int LAPACKE_strsyl_work( int matrix_order, char trana, char tranb,
+                                lapack_int isgn, lapack_int m, lapack_int n,
+                                const float* a, lapack_int lda, const float* b,
+                                lapack_int ldb, float* c, lapack_int ldc,
+                                float* scale );
+lapack_int LAPACKE_dtrsyl_work( int matrix_order, char trana, char tranb,
+                                lapack_int isgn, lapack_int m, lapack_int n,
+                                const double* a, lapack_int lda,
+                                const double* b, lapack_int ldb, double* c,
+                                lapack_int ldc, double* scale );
+lapack_int LAPACKE_ctrsyl_work( int matrix_order, char trana, char tranb,
+                                lapack_int isgn, lapack_int m, lapack_int n,
+                                const lapack_complex_float* a, lapack_int lda,
+                                const lapack_complex_float* b, lapack_int ldb,
+                                lapack_complex_float* c, lapack_int ldc,
+                                float* scale );
+lapack_int LAPACKE_ztrsyl_work( int matrix_order, char trana, char tranb,
+                                lapack_int isgn, lapack_int m, lapack_int n,
+                                const lapack_complex_double* a, lapack_int lda,
+                                const lapack_complex_double* b, lapack_int ldb,
+                                lapack_complex_double* c, lapack_int ldc,
+                                double* scale );
+
+lapack_int LAPACKE_strtri_work( int matrix_order, char uplo, char diag,
+                                lapack_int n, float* a, lapack_int lda );
+lapack_int LAPACKE_dtrtri_work( int matrix_order, char uplo, char diag,
+                                lapack_int n, double* a, lapack_int lda );
+lapack_int LAPACKE_ctrtri_work( int matrix_order, char uplo, char diag,
+                                lapack_int n, lapack_complex_float* a,
+                                lapack_int lda );
+lapack_int LAPACKE_ztrtri_work( int matrix_order, char uplo, char diag,
+                                lapack_int n, lapack_complex_double* a,
+                                lapack_int lda );
+
+lapack_int LAPACKE_strtrs_work( int matrix_order, char uplo, char trans,
+                                char diag, lapack_int n, lapack_int nrhs,
+                                const float* a, lapack_int lda, float* b,
+                                lapack_int ldb );
+lapack_int LAPACKE_dtrtrs_work( int matrix_order, char uplo, char trans,
+                                char diag, lapack_int n, lapack_int nrhs,
+                                const double* a, lapack_int lda, double* b,
+                                lapack_int ldb );
+lapack_int LAPACKE_ctrtrs_work( int matrix_order, char uplo, char trans,
+                                char diag, lapack_int n, lapack_int nrhs,
+                                const lapack_complex_float* a, lapack_int lda,
+                                lapack_complex_float* b, lapack_int ldb );
+lapack_int LAPACKE_ztrtrs_work( int matrix_order, char uplo, char trans,
+                                char diag, lapack_int n, lapack_int nrhs,
+                                const lapack_complex_double* a, lapack_int lda,
+                                lapack_complex_double* b, lapack_int ldb );
+
+lapack_int LAPACKE_strttf_work( int matrix_order, char transr, char uplo,
+                                lapack_int n, const float* a, lapack_int lda,
+                                float* arf );
+lapack_int LAPACKE_dtrttf_work( int matrix_order, char transr, char uplo,
+                                lapack_int n, const double* a, lapack_int lda,
+                                double* arf );
+lapack_int LAPACKE_ctrttf_work( int matrix_order, char transr, char uplo,
+                                lapack_int n, const lapack_complex_float* a,
+                                lapack_int lda, lapack_complex_float* arf );
+lapack_int LAPACKE_ztrttf_work( int matrix_order, char transr, char uplo,
+                                lapack_int n, const lapack_complex_double* a,
+                                lapack_int lda, lapack_complex_double* arf );
+
+lapack_int LAPACKE_strttp_work( int matrix_order, char uplo, lapack_int n,
+                                const float* a, lapack_int lda, float* ap );
+lapack_int LAPACKE_dtrttp_work( int matrix_order, char uplo, lapack_int n,
+                                const double* a, lapack_int lda, double* ap );
+lapack_int LAPACKE_ctrttp_work( int matrix_order, char uplo, lapack_int n,
+                                const lapack_complex_float* a, lapack_int lda,
+                                lapack_complex_float* ap );
+lapack_int LAPACKE_ztrttp_work( int matrix_order, char uplo, lapack_int n,
+                                const lapack_complex_double* a, lapack_int lda,
+                                lapack_complex_double* ap );
+
+lapack_int LAPACKE_stzrzf_work( int matrix_order, lapack_int m, lapack_int n,
+                                float* a, lapack_int lda, float* tau,
+                                float* work, lapack_int lwork );
+lapack_int LAPACKE_dtzrzf_work( int matrix_order, lapack_int m, lapack_int n,
+                                double* a, lapack_int lda, double* tau,
+                                double* work, lapack_int lwork );
+lapack_int LAPACKE_ctzrzf_work( int matrix_order, lapack_int m, lapack_int n,
+                                lapack_complex_float* a, lapack_int lda,
+                                lapack_complex_float* tau,
+                                lapack_complex_float* work, lapack_int lwork );
+lapack_int LAPACKE_ztzrzf_work( int matrix_order, lapack_int m, lapack_int n,
+                                lapack_complex_double* a, lapack_int lda,
+                                lapack_complex_double* tau,
+                                lapack_complex_double* work, lapack_int lwork );
+
+lapack_int LAPACKE_cungbr_work( int matrix_order, char vect, lapack_int m,
+                                lapack_int n, lapack_int k,
+                                lapack_complex_float* a, lapack_int lda,
+                                const lapack_complex_float* tau,
+                                lapack_complex_float* work, lapack_int lwork );
+lapack_int LAPACKE_zungbr_work( int matrix_order, char vect, lapack_int m,
+                                lapack_int n, lapack_int k,
+                                lapack_complex_double* a, lapack_int lda,
+                                const lapack_complex_double* tau,
+                                lapack_complex_double* work, lapack_int lwork );
+
+lapack_int LAPACKE_cunghr_work( int matrix_order, lapack_int n, lapack_int ilo,
+                                lapack_int ihi, lapack_complex_float* a,
+                                lapack_int lda, const lapack_complex_float* tau,
+                                lapack_complex_float* work, lapack_int lwork );
+lapack_int LAPACKE_zunghr_work( int matrix_order, lapack_int n, lapack_int ilo,
+                                lapack_int ihi, lapack_complex_double* a,
+                                lapack_int lda,
+                                const lapack_complex_double* tau,
+                                lapack_complex_double* work, lapack_int lwork );
+
+lapack_int LAPACKE_cunglq_work( int matrix_order, lapack_int m, lapack_int n,
+                                lapack_int k, lapack_complex_float* a,
+                                lapack_int lda, const lapack_complex_float* tau,
+                                lapack_complex_float* work, lapack_int lwork );
+lapack_int LAPACKE_zunglq_work( int matrix_order, lapack_int m, lapack_int n,
+                                lapack_int k, lapack_complex_double* a,
+                                lapack_int lda,
+                                const lapack_complex_double* tau,
+                                lapack_complex_double* work, lapack_int lwork );
+
+lapack_int LAPACKE_cungql_work( int matrix_order, lapack_int m, lapack_int n,
+                                lapack_int k, lapack_complex_float* a,
+                                lapack_int lda, const lapack_complex_float* tau,
+                                lapack_complex_float* work, lapack_int lwork );
+lapack_int LAPACKE_zungql_work( int matrix_order, lapack_int m, lapack_int n,
+                                lapack_int k, lapack_complex_double* a,
+                                lapack_int lda,
+                                const lapack_complex_double* tau,
+                                lapack_complex_double* work, lapack_int lwork );
+
+lapack_int LAPACKE_cungqr_work( int matrix_order, lapack_int m, lapack_int n,
+                                lapack_int k, lapack_complex_float* a,
+                                lapack_int lda, const lapack_complex_float* tau,
+                                lapack_complex_float* work, lapack_int lwork );
+lapack_int LAPACKE_zungqr_work( int matrix_order, lapack_int m, lapack_int n,
+                                lapack_int k, lapack_complex_double* a,
+                                lapack_int lda,
+                                const lapack_complex_double* tau,
+                                lapack_complex_double* work, lapack_int lwork );
+
+lapack_int LAPACKE_cungrq_work( int matrix_order, lapack_int m, lapack_int n,
+                                lapack_int k, lapack_complex_float* a,
+                                lapack_int lda, const lapack_complex_float* tau,
+                                lapack_complex_float* work, lapack_int lwork );
+lapack_int LAPACKE_zungrq_work( int matrix_order, lapack_int m, lapack_int n,
+                                lapack_int k, lapack_complex_double* a,
+                                lapack_int lda,
+                                const lapack_complex_double* tau,
+                                lapack_complex_double* work, lapack_int lwork );
+
+lapack_int LAPACKE_cungtr_work( int matrix_order, char uplo, lapack_int n,
+                                lapack_complex_float* a, lapack_int lda,
+                                const lapack_complex_float* tau,
+                                lapack_complex_float* work, lapack_int lwork );
+lapack_int LAPACKE_zungtr_work( int matrix_order, char uplo, lapack_int n,
+                                lapack_complex_double* a, lapack_int lda,
+                                const lapack_complex_double* tau,
+                                lapack_complex_double* work, lapack_int lwork );
+
+lapack_int LAPACKE_cunmbr_work( int matrix_order, char vect, char side,
+                                char trans, lapack_int m, lapack_int n,
+                                lapack_int k, const lapack_complex_float* a,
+                                lapack_int lda, const lapack_complex_float* tau,
+                                lapack_complex_float* c, lapack_int ldc,
+                                lapack_complex_float* work, lapack_int lwork );
+lapack_int LAPACKE_zunmbr_work( int matrix_order, char vect, char side,
+                                char trans, lapack_int m, lapack_int n,
+                                lapack_int k, const lapack_complex_double* a,
+                                lapack_int lda,
+                                const lapack_complex_double* tau,
+                                lapack_complex_double* c, lapack_int ldc,
+                                lapack_complex_double* work, lapack_int lwork );
+
+lapack_int LAPACKE_cunmhr_work( int matrix_order, char side, char trans,
+                                lapack_int m, lapack_int n, lapack_int ilo,
+                                lapack_int ihi, const lapack_complex_float* a,
+                                lapack_int lda, const lapack_complex_float* tau,
+                                lapack_complex_float* c, lapack_int ldc,
+                                lapack_complex_float* work, lapack_int lwork );
+lapack_int LAPACKE_zunmhr_work( int matrix_order, char side, char trans,
+                                lapack_int m, lapack_int n, lapack_int ilo,
+                                lapack_int ihi, const lapack_complex_double* a,
+                                lapack_int lda,
+                                const lapack_complex_double* tau,
+                                lapack_complex_double* c, lapack_int ldc,
+                                lapack_complex_double* work, lapack_int lwork );
+
+lapack_int LAPACKE_cunmlq_work( int matrix_order, char side, char trans,
+                                lapack_int m, lapack_int n, lapack_int k,
+                                const lapack_complex_float* a, lapack_int lda,
+                                const lapack_complex_float* tau,
+                                lapack_complex_float* c, lapack_int ldc,
+                                lapack_complex_float* work, lapack_int lwork );
+lapack_int LAPACKE_zunmlq_work( int matrix_order, char side, char trans,
+                                lapack_int m, lapack_int n, lapack_int k,
+                                const lapack_complex_double* a, lapack_int lda,
+                                const lapack_complex_double* tau,
+                                lapack_complex_double* c, lapack_int ldc,
+                                lapack_complex_double* work, lapack_int lwork );
+
+lapack_int LAPACKE_cunmql_work( int matrix_order, char side, char trans,
+                                lapack_int m, lapack_int n, lapack_int k,
+                                const lapack_complex_float* a, lapack_int lda,
+                                const lapack_complex_float* tau,
+                                lapack_complex_float* c, lapack_int ldc,
+                                lapack_complex_float* work, lapack_int lwork );
+lapack_int LAPACKE_zunmql_work( int matrix_order, char side, char trans,
+                                lapack_int m, lapack_int n, lapack_int k,
+                                const lapack_complex_double* a, lapack_int lda,
+                                const lapack_complex_double* tau,
+                                lapack_complex_double* c, lapack_int ldc,
+                                lapack_complex_double* work, lapack_int lwork );
+
+lapack_int LAPACKE_cunmqr_work( int matrix_order, char side, char trans,
+                                lapack_int m, lapack_int n, lapack_int k,
+                                const lapack_complex_float* a, lapack_int lda,
+                                const lapack_complex_float* tau,
+                                lapack_complex_float* c, lapack_int ldc,
+                                lapack_complex_float* work, lapack_int lwork );
+lapack_int LAPACKE_zunmqr_work( int matrix_order, char side, char trans,
+                                lapack_int m, lapack_int n, lapack_int k,
+                                const lapack_complex_double* a, lapack_int lda,
+                                const lapack_complex_double* tau,
+                                lapack_complex_double* c, lapack_int ldc,
+                                lapack_complex_double* work, lapack_int lwork );
+
+lapack_int LAPACKE_cunmrq_work( int matrix_order, char side, char trans,
+                                lapack_int m, lapack_int n, lapack_int k,
+                                const lapack_complex_float* a, lapack_int lda,
+                                const lapack_complex_float* tau,
+                                lapack_complex_float* c, lapack_int ldc,
+                                lapack_complex_float* work, lapack_int lwork );
+lapack_int LAPACKE_zunmrq_work( int matrix_order, char side, char trans,
+                                lapack_int m, lapack_int n, lapack_int k,
+                                const lapack_complex_double* a, lapack_int lda,
+                                const lapack_complex_double* tau,
+                                lapack_complex_double* c, lapack_int ldc,
+                                lapack_complex_double* work, lapack_int lwork );
+
+lapack_int LAPACKE_cunmrz_work( int matrix_order, char side, char trans,
+                                lapack_int m, lapack_int n, lapack_int k,
+                                lapack_int l, const lapack_complex_float* a,
+                                lapack_int lda, const lapack_complex_float* tau,
+                                lapack_complex_float* c, lapack_int ldc,
+                                lapack_complex_float* work, lapack_int lwork );
+lapack_int LAPACKE_zunmrz_work( int matrix_order, char side, char trans,
+                                lapack_int m, lapack_int n, lapack_int k,
+                                lapack_int l, const lapack_complex_double* a,
+                                lapack_int lda,
+                                const lapack_complex_double* tau,
+                                lapack_complex_double* c, lapack_int ldc,
+                                lapack_complex_double* work, lapack_int lwork );
+
+lapack_int LAPACKE_cunmtr_work( int matrix_order, char side, char uplo,
+                                char trans, lapack_int m, lapack_int n,
+                                const lapack_complex_float* a, lapack_int lda,
+                                const lapack_complex_float* tau,
+                                lapack_complex_float* c, lapack_int ldc,
+                                lapack_complex_float* work, lapack_int lwork );
+lapack_int LAPACKE_zunmtr_work( int matrix_order, char side, char uplo,
+                                char trans, lapack_int m, lapack_int n,
+                                const lapack_complex_double* a, lapack_int lda,
+                                const lapack_complex_double* tau,
+                                lapack_complex_double* c, lapack_int ldc,
+                                lapack_complex_double* work, lapack_int lwork );
+
+lapack_int LAPACKE_cupgtr_work( int matrix_order, char uplo, lapack_int n,
+                                const lapack_complex_float* ap,
+                                const lapack_complex_float* tau,
+                                lapack_complex_float* q, lapack_int ldq,
+                                lapack_complex_float* work );
+lapack_int LAPACKE_zupgtr_work( int matrix_order, char uplo, lapack_int n,
+                                const lapack_complex_double* ap,
+                                const lapack_complex_double* tau,
+                                lapack_complex_double* q, lapack_int ldq,
+                                lapack_complex_double* work );
+
+lapack_int LAPACKE_cupmtr_work( int matrix_order, char side, char uplo,
+                                char trans, lapack_int m, lapack_int n,
+                                const lapack_complex_float* ap,
+                                const lapack_complex_float* tau,
+                                lapack_complex_float* c, lapack_int ldc,
+                                lapack_complex_float* work );
+lapack_int LAPACKE_zupmtr_work( int matrix_order, char side, char uplo,
+                                char trans, lapack_int m, lapack_int n,
+                                const lapack_complex_double* ap,
+                                const lapack_complex_double* tau,
+                                lapack_complex_double* c, lapack_int ldc,
+                                lapack_complex_double* work );
+
+lapack_int LAPACKE_claghe( int matrix_order, lapack_int n, lapack_int k,
+                           const float* d, lapack_complex_float* a,
+                           lapack_int lda, lapack_int* iseed );
+lapack_int LAPACKE_zlaghe( int matrix_order, lapack_int n, lapack_int k,
+                           const double* d, lapack_complex_double* a,
+                           lapack_int lda, lapack_int* iseed );
+
+lapack_int LAPACKE_slagsy( int matrix_order, lapack_int n, lapack_int k,
+                           const float* d, float* a, lapack_int lda,
+                           lapack_int* iseed );
+lapack_int LAPACKE_dlagsy( int matrix_order, lapack_int n, lapack_int k,
+                           const double* d, double* a, lapack_int lda,
+                           lapack_int* iseed );
+lapack_int LAPACKE_clagsy( int matrix_order, lapack_int n, lapack_int k,
+                           const float* d, lapack_complex_float* a,
+                           lapack_int lda, lapack_int* iseed );
+lapack_int LAPACKE_zlagsy( int matrix_order, lapack_int n, lapack_int k,
+                           const double* d, lapack_complex_double* a,
+                           lapack_int lda, lapack_int* iseed );
+
+lapack_int LAPACKE_slapmr( int matrix_order, lapack_logical forwrd,
+                           lapack_int m, lapack_int n, float* x, lapack_int ldx,
+                           lapack_int* k );
+lapack_int LAPACKE_dlapmr( int matrix_order, lapack_logical forwrd,
+                           lapack_int m, lapack_int n, double* x,
+                           lapack_int ldx, lapack_int* k );
+lapack_int LAPACKE_clapmr( int matrix_order, lapack_logical forwrd,
+                           lapack_int m, lapack_int n, lapack_complex_float* x,
+                           lapack_int ldx, lapack_int* k );
+lapack_int LAPACKE_zlapmr( int matrix_order, lapack_logical forwrd,
+                           lapack_int m, lapack_int n, lapack_complex_double* x,
+                           lapack_int ldx, lapack_int* k );
+
+
+float LAPACKE_slapy2( float x, float y );
+double LAPACKE_dlapy2( double x, double y );
+
+float LAPACKE_slapy3( float x, float y, float z );
+double LAPACKE_dlapy3( double x, double y, double z );
+
+lapack_int LAPACKE_slartgp( float f, float g, float* cs, float* sn, float* r );
+lapack_int LAPACKE_dlartgp( double f, double g, double* cs, double* sn,
+                            double* r );
+
+lapack_int LAPACKE_slartgs( float x, float y, float sigma, float* cs,
+                            float* sn );
+lapack_int LAPACKE_dlartgs( double x, double y, double sigma, double* cs,
+                            double* sn );
+
+
+//LAPACK 3.3.0
+lapack_int LAPACKE_cbbcsd( int matrix_order, char jobu1, char jobu2,
+                           char jobv1t, char jobv2t, char trans, lapack_int m,
+                           lapack_int p, lapack_int q, float* theta, float* phi,
+                           lapack_complex_float* u1, lapack_int ldu1,
+                           lapack_complex_float* u2, lapack_int ldu2,
+                           lapack_complex_float* v1t, lapack_int ldv1t,
+                           lapack_complex_float* v2t, lapack_int ldv2t,
+                           float* b11d, float* b11e, float* b12d, float* b12e,
+                           float* b21d, float* b21e, float* b22d, float* b22e );
+lapack_int LAPACKE_cbbcsd_work( int matrix_order, char jobu1, char jobu2,
+                                char jobv1t, char jobv2t, char trans,
+                                lapack_int m, lapack_int p, lapack_int q,
+                                float* theta, float* phi,
+                                lapack_complex_float* u1, lapack_int ldu1,
+                                lapack_complex_float* u2, lapack_int ldu2,
+                                lapack_complex_float* v1t, lapack_int ldv1t,
+                                lapack_complex_float* v2t, lapack_int ldv2t,
+                                float* b11d, float* b11e, float* b12d,
+                                float* b12e, float* b21d, float* b21e,
+                                float* b22d, float* b22e, float* rwork,
+                                lapack_int lrwork );
+lapack_int LAPACKE_cheswapr( int matrix_order, char uplo, lapack_int n,
+                             lapack_complex_float* a, lapack_int i1,
+                             lapack_int i2 );
+lapack_int LAPACKE_cheswapr_work( int matrix_order, char uplo, lapack_int n,
+                                  lapack_complex_float* a, lapack_int i1,
+                                  lapack_int i2 );
+lapack_int LAPACKE_chetri2( int matrix_order, char uplo, lapack_int n,
+                            lapack_complex_float* a, lapack_int lda,
+                            const lapack_int* ipiv );
+lapack_int LAPACKE_chetri2_work( int matrix_order, char uplo, lapack_int n,
+                                 lapack_complex_float* a, lapack_int lda,
+                                 const lapack_int* ipiv,
+                                 lapack_complex_float* work, lapack_int lwork );
+lapack_int LAPACKE_chetri2x( int matrix_order, char uplo, lapack_int n,
+                             lapack_complex_float* a, lapack_int lda,
+                             const lapack_int* ipiv, lapack_int nb );
+lapack_int LAPACKE_chetri2x_work( int matrix_order, char uplo, lapack_int n,
+                                  lapack_complex_float* a, lapack_int lda,
+                                  const lapack_int* ipiv,
+                                  lapack_complex_float* work, lapack_int nb );
+lapack_int LAPACKE_chetrs2( int matrix_order, char uplo, lapack_int n,
+                            lapack_int nrhs, const lapack_complex_float* a,
+                            lapack_int lda, const lapack_int* ipiv,
+                            lapack_complex_float* b, lapack_int ldb );
+lapack_int LAPACKE_chetrs2_work( int matrix_order, char uplo, lapack_int n,
+                                 lapack_int nrhs, const lapack_complex_float* a,
+                                 lapack_int lda, const lapack_int* ipiv,
+                                 lapack_complex_float* b, lapack_int ldb,
+                                 lapack_complex_float* work );
+lapack_int LAPACKE_csyconv( int matrix_order, char uplo, char way, lapack_int n,
+                            lapack_complex_float* a, lapack_int lda,
+                            const lapack_int* ipiv );
+lapack_int LAPACKE_csyconv_work( int matrix_order, char uplo, char way,
+                                 lapack_int n, lapack_complex_float* a,
+                                 lapack_int lda, const lapack_int* ipiv,
+                                 lapack_complex_float* work );
+lapack_int LAPACKE_csyswapr( int matrix_order, char uplo, lapack_int n,
+                             lapack_complex_float* a, lapack_int i1,
+                             lapack_int i2 );
+lapack_int LAPACKE_csyswapr_work( int matrix_order, char uplo, lapack_int n,
+                                  lapack_complex_float* a, lapack_int i1,
+                                  lapack_int i2 );
+lapack_int LAPACKE_csytri2( int matrix_order, char uplo, lapack_int n,
+                            lapack_complex_float* a, lapack_int lda,
+                            const lapack_int* ipiv );
+lapack_int LAPACKE_csytri2_work( int matrix_order, char uplo, lapack_int n,
+                                 lapack_complex_float* a, lapack_int lda,
+                                 const lapack_int* ipiv,
+                                 lapack_complex_float* work, lapack_int lwork );
+lapack_int LAPACKE_csytri2x( int matrix_order, char uplo, lapack_int n,
+                             lapack_complex_float* a, lapack_int lda,
+                             const lapack_int* ipiv, lapack_int nb );
+lapack_int LAPACKE_csytri2x_work( int matrix_order, char uplo, lapack_int n,
+                                  lapack_complex_float* a, lapack_int lda,
+                                  const lapack_int* ipiv,
+                                  lapack_complex_float* work, lapack_int nb );
+lapack_int LAPACKE_csytrs2( int matrix_order, char uplo, lapack_int n,
+                            lapack_int nrhs, const lapack_complex_float* a,
+                            lapack_int lda, const lapack_int* ipiv,
+                            lapack_complex_float* b, lapack_int ldb );
+lapack_int LAPACKE_csytrs2_work( int matrix_order, char uplo, lapack_int n,
+                                 lapack_int nrhs, const lapack_complex_float* a,
+                                 lapack_int lda, const lapack_int* ipiv,
+                                 lapack_complex_float* b, lapack_int ldb,
+                                 lapack_complex_float* work );
+lapack_int LAPACKE_cunbdb( int matrix_order, char trans, char signs,
+                           lapack_int m, lapack_int p, lapack_int q,
+                           lapack_complex_float* x11, lapack_int ldx11,
+                           lapack_complex_float* x12, lapack_int ldx12,
+                           lapack_complex_float* x21, lapack_int ldx21,
+                           lapack_complex_float* x22, lapack_int ldx22,
+                           float* theta, float* phi,
+                           lapack_complex_float* taup1,
+                           lapack_complex_float* taup2,
+                           lapack_complex_float* tauq1,
+                           lapack_complex_float* tauq2 );
+lapack_int LAPACKE_cunbdb_work( int matrix_order, char trans, char signs,
+                                lapack_int m, lapack_int p, lapack_int q,
+                                lapack_complex_float* x11, lapack_int ldx11,
+                                lapack_complex_float* x12, lapack_int ldx12,
+                                lapack_complex_float* x21, lapack_int ldx21,
+                                lapack_complex_float* x22, lapack_int ldx22,
+                                float* theta, float* phi,
+                                lapack_complex_float* taup1,
+                                lapack_complex_float* taup2,
+                                lapack_complex_float* tauq1,
+                                lapack_complex_float* tauq2,
+                                lapack_complex_float* work, lapack_int lwork );
+lapack_int LAPACKE_cuncsd( int matrix_order, char jobu1, char jobu2,
+                           char jobv1t, char jobv2t, char trans, char signs,
+                           lapack_int m, lapack_int p, lapack_int q,
+                           lapack_complex_float* x11, lapack_int ldx11,
+                           lapack_complex_float* x12, lapack_int ldx12,
+                           lapack_complex_float* x21, lapack_int ldx21,
+                           lapack_complex_float* x22, lapack_int ldx22,
+                           float* theta, lapack_complex_float* u1,
+                           lapack_int ldu1, lapack_complex_float* u2,
+                           lapack_int ldu2, lapack_complex_float* v1t,
+                           lapack_int ldv1t, lapack_complex_float* v2t,
+                           lapack_int ldv2t );
+lapack_int LAPACKE_cuncsd_work( int matrix_order, char jobu1, char jobu2,
+                                char jobv1t, char jobv2t, char trans,
+                                char signs, lapack_int m, lapack_int p,
+                                lapack_int q, lapack_complex_float* x11,
+                                lapack_int ldx11, lapack_complex_float* x12,
+                                lapack_int ldx12, lapack_complex_float* x21,
+                                lapack_int ldx21, lapack_complex_float* x22,
+                                lapack_int ldx22, float* theta,
+                                lapack_complex_float* u1, lapack_int ldu1,
+                                lapack_complex_float* u2, lapack_int ldu2,
+                                lapack_complex_float* v1t, lapack_int ldv1t,
+                                lapack_complex_float* v2t, lapack_int ldv2t,
+                                lapack_complex_float* work, lapack_int lwork,
+                                float* rwork, lapack_int lrwork,
+                                lapack_int* iwork );
+lapack_int LAPACKE_dbbcsd( int matrix_order, char jobu1, char jobu2,
+                           char jobv1t, char jobv2t, char trans, lapack_int m,
+                           lapack_int p, lapack_int q, double* theta,
+                           double* phi, double* u1, lapack_int ldu1, double* u2,
+                           lapack_int ldu2, double* v1t, lapack_int ldv1t,
+                           double* v2t, lapack_int ldv2t, double* b11d,
+                           double* b11e, double* b12d, double* b12e,
+                           double* b21d, double* b21e, double* b22d,
+                           double* b22e );
+lapack_int LAPACKE_dbbcsd_work( int matrix_order, char jobu1, char jobu2,
+                                char jobv1t, char jobv2t, char trans,
+                                lapack_int m, lapack_int p, lapack_int q,
+                                double* theta, double* phi, double* u1,
+                                lapack_int ldu1, double* u2, lapack_int ldu2,
+                                double* v1t, lapack_int ldv1t, double* v2t,
+                                lapack_int ldv2t, double* b11d, double* b11e,
+                                double* b12d, double* b12e, double* b21d,
+                                double* b21e, double* b22d, double* b22e,
+                                double* work, lapack_int lwork );
+lapack_int LAPACKE_dorbdb( int matrix_order, char trans, char signs,
+                           lapack_int m, lapack_int p, lapack_int q,
+                           double* x11, lapack_int ldx11, double* x12,
+                           lapack_int ldx12, double* x21, lapack_int ldx21,
+                           double* x22, lapack_int ldx22, double* theta,
+                           double* phi, double* taup1, double* taup2,
+                           double* tauq1, double* tauq2 );
+lapack_int LAPACKE_dorbdb_work( int matrix_order, char trans, char signs,
+                                lapack_int m, lapack_int p, lapack_int q,
+                                double* x11, lapack_int ldx11, double* x12,
+                                lapack_int ldx12, double* x21, lapack_int ldx21,
+                                double* x22, lapack_int ldx22, double* theta,
+                                double* phi, double* taup1, double* taup2,
+                                double* tauq1, double* tauq2, double* work,
+                                lapack_int lwork );
+lapack_int LAPACKE_dorcsd( int matrix_order, char jobu1, char jobu2,
+                           char jobv1t, char jobv2t, char trans, char signs,
+                           lapack_int m, lapack_int p, lapack_int q,
+                           double* x11, lapack_int ldx11, double* x12,
+                           lapack_int ldx12, double* x21, lapack_int ldx21,
+                           double* x22, lapack_int ldx22, double* theta,
+                           double* u1, lapack_int ldu1, double* u2,
+                           lapack_int ldu2, double* v1t, lapack_int ldv1t,
+                           double* v2t, lapack_int ldv2t );
+lapack_int LAPACKE_dorcsd_work( int matrix_order, char jobu1, char jobu2,
+                                char jobv1t, char jobv2t, char trans,
+                                char signs, lapack_int m, lapack_int p,
+                                lapack_int q, double* x11, lapack_int ldx11,
+                                double* x12, lapack_int ldx12, double* x21,
+                                lapack_int ldx21, double* x22, lapack_int ldx22,
+                                double* theta, double* u1, lapack_int ldu1,
+                                double* u2, lapack_int ldu2, double* v1t,
+                                lapack_int ldv1t, double* v2t, lapack_int ldv2t,
+                                double* work, lapack_int lwork,
+                                lapack_int* iwork );
+lapack_int LAPACKE_dsyconv( int matrix_order, char uplo, char way, lapack_int n,
+                            double* a, lapack_int lda, const lapack_int* ipiv );
+lapack_int LAPACKE_dsyconv_work( int matrix_order, char uplo, char way,
+                                 lapack_int n, double* a, lapack_int lda,
+                                 const lapack_int* ipiv, double* work );
+lapack_int LAPACKE_dsyswapr( int matrix_order, char uplo, lapack_int n,
+                             double* a, lapack_int i1, lapack_int i2 );
+lapack_int LAPACKE_dsyswapr_work( int matrix_order, char uplo, lapack_int n,
+                                  double* a, lapack_int i1, lapack_int i2 );
+lapack_int LAPACKE_dsytri2( int matrix_order, char uplo, lapack_int n,
+                            double* a, lapack_int lda, const lapack_int* ipiv );
+lapack_int LAPACKE_dsytri2_work( int matrix_order, char uplo, lapack_int n,
+                                 double* a, lapack_int lda,
+                                 const lapack_int* ipiv,
+                                 lapack_complex_double* work, lapack_int lwork );
+lapack_int LAPACKE_dsytri2x( int matrix_order, char uplo, lapack_int n,
+                             double* a, lapack_int lda, const lapack_int* ipiv,
+                             lapack_int nb );
+lapack_int LAPACKE_dsytri2x_work( int matrix_order, char uplo, lapack_int n,
+                                  double* a, lapack_int lda,
+                                  const lapack_int* ipiv, double* work,
+                                  lapack_int nb );
+lapack_int LAPACKE_dsytrs2( int matrix_order, char uplo, lapack_int n,
+                            lapack_int nrhs, const double* a, lapack_int lda,
+                            const lapack_int* ipiv, double* b, lapack_int ldb );
+lapack_int LAPACKE_dsytrs2_work( int matrix_order, char uplo, lapack_int n,
+                                 lapack_int nrhs, const double* a,
+                                 lapack_int lda, const lapack_int* ipiv,
+                                 double* b, lapack_int ldb, double* work );
+lapack_int LAPACKE_sbbcsd( int matrix_order, char jobu1, char jobu2,
+                           char jobv1t, char jobv2t, char trans, lapack_int m,
+                           lapack_int p, lapack_int q, float* theta, float* phi,
+                           float* u1, lapack_int ldu1, float* u2,
+                           lapack_int ldu2, float* v1t, lapack_int ldv1t,
+                           float* v2t, lapack_int ldv2t, float* b11d,
+                           float* b11e, float* b12d, float* b12e, float* b21d,
+                           float* b21e, float* b22d, float* b22e );
+lapack_int LAPACKE_sbbcsd_work( int matrix_order, char jobu1, char jobu2,
+                                char jobv1t, char jobv2t, char trans,
+                                lapack_int m, lapack_int p, lapack_int q,
+                                float* theta, float* phi, float* u1,
+                                lapack_int ldu1, float* u2, lapack_int ldu2,
+                                float* v1t, lapack_int ldv1t, float* v2t,
+                                lapack_int ldv2t, float* b11d, float* b11e,
+                                float* b12d, float* b12e, float* b21d,
+                                float* b21e, float* b22d, float* b22e,
+                                float* work, lapack_int lwork );
+lapack_int LAPACKE_sorbdb( int matrix_order, char trans, char signs,
+                           lapack_int m, lapack_int p, lapack_int q, float* x11,
+                           lapack_int ldx11, float* x12, lapack_int ldx12,
+                           float* x21, lapack_int ldx21, float* x22,
+                           lapack_int ldx22, float* theta, float* phi,
+                           float* taup1, float* taup2, float* tauq1,
+                           float* tauq2 );
+lapack_int LAPACKE_sorbdb_work( int matrix_order, char trans, char signs,
+                                lapack_int m, lapack_int p, lapack_int q,
+                                float* x11, lapack_int ldx11, float* x12,
+                                lapack_int ldx12, float* x21, lapack_int ldx21,
+                                float* x22, lapack_int ldx22, float* theta,
+                                float* phi, float* taup1, float* taup2,
+                                float* tauq1, float* tauq2, float* work,
+                                lapack_int lwork );
+lapack_int LAPACKE_sorcsd( int matrix_order, char jobu1, char jobu2,
+                           char jobv1t, char jobv2t, char trans, char signs,
+                           lapack_int m, lapack_int p, lapack_int q, float* x11,
+                           lapack_int ldx11, float* x12, lapack_int ldx12,
+                           float* x21, lapack_int ldx21, float* x22,
+                           lapack_int ldx22, float* theta, float* u1,
+                           lapack_int ldu1, float* u2, lapack_int ldu2,
+                           float* v1t, lapack_int ldv1t, float* v2t,
+                           lapack_int ldv2t );
+lapack_int LAPACKE_sorcsd_work( int matrix_order, char jobu1, char jobu2,
+                                char jobv1t, char jobv2t, char trans,
+                                char signs, lapack_int m, lapack_int p,
+                                lapack_int q, float* x11, lapack_int ldx11,
+                                float* x12, lapack_int ldx12, float* x21,
+                                lapack_int ldx21, float* x22, lapack_int ldx22,
+                                float* theta, float* u1, lapack_int ldu1,
+                                float* u2, lapack_int ldu2, float* v1t,
+                                lapack_int ldv1t, float* v2t, lapack_int ldv2t,
+                                float* work, lapack_int lwork,
+                                lapack_int* iwork );
+lapack_int LAPACKE_ssyconv( int matrix_order, char uplo, char way, lapack_int n,
+                            float* a, lapack_int lda, const lapack_int* ipiv );
+lapack_int LAPACKE_ssyconv_work( int matrix_order, char uplo, char way,
+                                 lapack_int n, float* a, lapack_int lda,
+                                 const lapack_int* ipiv, float* work );
+lapack_int LAPACKE_ssyswapr( int matrix_order, char uplo, lapack_int n,
+                             float* a, lapack_int i1, lapack_int i2 );
+lapack_int LAPACKE_ssyswapr_work( int matrix_order, char uplo, lapack_int n,
+                                  float* a, lapack_int i1, lapack_int i2 );
+lapack_int LAPACKE_ssytri2( int matrix_order, char uplo, lapack_int n, float* a,
+                            lapack_int lda, const lapack_int* ipiv );
+lapack_int LAPACKE_ssytri2_work( int matrix_order, char uplo, lapack_int n,
+                                 float* a, lapack_int lda,
+                                 const lapack_int* ipiv,
+                                 lapack_complex_float* work, lapack_int lwork );
+lapack_int LAPACKE_ssytri2x( int matrix_order, char uplo, lapack_int n,
+                             float* a, lapack_int lda, const lapack_int* ipiv,
+                             lapack_int nb );
+lapack_int LAPACKE_ssytri2x_work( int matrix_order, char uplo, lapack_int n,
+                                  float* a, lapack_int lda,
+                                  const lapack_int* ipiv, float* work,
+                                  lapack_int nb );
+lapack_int LAPACKE_ssytrs2( int matrix_order, char uplo, lapack_int n,
+                            lapack_int nrhs, const float* a, lapack_int lda,
+                            const lapack_int* ipiv, float* b, lapack_int ldb );
+lapack_int LAPACKE_ssytrs2_work( int matrix_order, char uplo, lapack_int n,
+                                 lapack_int nrhs, const float* a,
+                                 lapack_int lda, const lapack_int* ipiv,
+                                 float* b, lapack_int ldb, float* work );
+lapack_int LAPACKE_zbbcsd( int matrix_order, char jobu1, char jobu2,
+                           char jobv1t, char jobv2t, char trans, lapack_int m,
+                           lapack_int p, lapack_int q, double* theta,
+                           double* phi, lapack_complex_double* u1,
+                           lapack_int ldu1, lapack_complex_double* u2,
+                           lapack_int ldu2, lapack_complex_double* v1t,
+                           lapack_int ldv1t, lapack_complex_double* v2t,
+                           lapack_int ldv2t, double* b11d, double* b11e,
+                           double* b12d, double* b12e, double* b21d,
+                           double* b21e, double* b22d, double* b22e );
+lapack_int LAPACKE_zbbcsd_work( int matrix_order, char jobu1, char jobu2,
+                                char jobv1t, char jobv2t, char trans,
+                                lapack_int m, lapack_int p, lapack_int q,
+                                double* theta, double* phi,
+                                lapack_complex_double* u1, lapack_int ldu1,
+                                lapack_complex_double* u2, lapack_int ldu2,
+                                lapack_complex_double* v1t, lapack_int ldv1t,
+                                lapack_complex_double* v2t, lapack_int ldv2t,
+                                double* b11d, double* b11e, double* b12d,
+                                double* b12e, double* b21d, double* b21e,
+                                double* b22d, double* b22e, double* rwork,
+                                lapack_int lrwork );
+lapack_int LAPACKE_zheswapr( int matrix_order, char uplo, lapack_int n,
+                             lapack_complex_double* a, lapack_int i1,
+                             lapack_int i2 );
+lapack_int LAPACKE_zheswapr_work( int matrix_order, char uplo, lapack_int n,
+                                  lapack_complex_double* a, lapack_int i1,
+                                  lapack_int i2 );
+lapack_int LAPACKE_zhetri2( int matrix_order, char uplo, lapack_int n,
+                            lapack_complex_double* a, lapack_int lda,
+                            const lapack_int* ipiv );
+lapack_int LAPACKE_zhetri2_work( int matrix_order, char uplo, lapack_int n,
+                                 lapack_complex_double* a, lapack_int lda,
+                                 const lapack_int* ipiv,
+                                 lapack_complex_double* work, lapack_int lwork );
+lapack_int LAPACKE_zhetri2x( int matrix_order, char uplo, lapack_int n,
+                             lapack_complex_double* a, lapack_int lda,
+                             const lapack_int* ipiv, lapack_int nb );
+lapack_int LAPACKE_zhetri2x_work( int matrix_order, char uplo, lapack_int n,
+                                  lapack_complex_double* a, lapack_int lda,
+                                  const lapack_int* ipiv,
+                                  lapack_complex_double* work, lapack_int nb );
+lapack_int LAPACKE_zhetrs2( int matrix_order, char uplo, lapack_int n,
+                            lapack_int nrhs, const lapack_complex_double* a,
+                            lapack_int lda, const lapack_int* ipiv,
+                            lapack_complex_double* b, lapack_int ldb );
+lapack_int LAPACKE_zhetrs2_work( int matrix_order, char uplo, lapack_int n,
+                                 lapack_int nrhs, const lapack_complex_double* a,
+                                 lapack_int lda, const lapack_int* ipiv,
+                                 lapack_complex_double* b, lapack_int ldb,
+                                 lapack_complex_double* work );
+lapack_int LAPACKE_zsyconv( int matrix_order, char uplo, char way, lapack_int n,
+                            lapack_complex_double* a, lapack_int lda,
+                            const lapack_int* ipiv );
+lapack_int LAPACKE_zsyconv_work( int matrix_order, char uplo, char way,
+                                 lapack_int n, lapack_complex_double* a,
+                                 lapack_int lda, const lapack_int* ipiv,
+                                 lapack_complex_double* work );
+lapack_int LAPACKE_zsyswapr( int matrix_order, char uplo, lapack_int n,
+                             lapack_complex_double* a, lapack_int i1,
+                             lapack_int i2 );
+lapack_int LAPACKE_zsyswapr_work( int matrix_order, char uplo, lapack_int n,
+                                  lapack_complex_double* a, lapack_int i1,
+                                  lapack_int i2 );
+lapack_int LAPACKE_zsytri2( int matrix_order, char uplo, lapack_int n,
+                            lapack_complex_double* a, lapack_int lda,
+                            const lapack_int* ipiv );
+lapack_int LAPACKE_zsytri2_work( int matrix_order, char uplo, lapack_int n,
+                                 lapack_complex_double* a, lapack_int lda,
+                                 const lapack_int* ipiv,
+                                 lapack_complex_double* work, lapack_int lwork );
+lapack_int LAPACKE_zsytri2x( int matrix_order, char uplo, lapack_int n,
+                             lapack_complex_double* a, lapack_int lda,
+                             const lapack_int* ipiv, lapack_int nb );
+lapack_int LAPACKE_zsytri2x_work( int matrix_order, char uplo, lapack_int n,
+                                  lapack_complex_double* a, lapack_int lda,
+                                  const lapack_int* ipiv,
+                                  lapack_complex_double* work, lapack_int nb );
+lapack_int LAPACKE_zsytrs2( int matrix_order, char uplo, lapack_int n,
+                            lapack_int nrhs, const lapack_complex_double* a,
+                            lapack_int lda, const lapack_int* ipiv,
+                            lapack_complex_double* b, lapack_int ldb );
+lapack_int LAPACKE_zsytrs2_work( int matrix_order, char uplo, lapack_int n,
+                                 lapack_int nrhs, const lapack_complex_double* a,
+                                 lapack_int lda, const lapack_int* ipiv,
+                                 lapack_complex_double* b, lapack_int ldb,
+                                 lapack_complex_double* work );
+lapack_int LAPACKE_zunbdb( int matrix_order, char trans, char signs,
+                           lapack_int m, lapack_int p, lapack_int q,
+                           lapack_complex_double* x11, lapack_int ldx11,
+                           lapack_complex_double* x12, lapack_int ldx12,
+                           lapack_complex_double* x21, lapack_int ldx21,
+                           lapack_complex_double* x22, lapack_int ldx22,
+                           double* theta, double* phi,
+                           lapack_complex_double* taup1,
+                           lapack_complex_double* taup2,
+                           lapack_complex_double* tauq1,
+                           lapack_complex_double* tauq2 );
+lapack_int LAPACKE_zunbdb_work( int matrix_order, char trans, char signs,
+                                lapack_int m, lapack_int p, lapack_int q,
+                                lapack_complex_double* x11, lapack_int ldx11,
+                                lapack_complex_double* x12, lapack_int ldx12,
+                                lapack_complex_double* x21, lapack_int ldx21,
+                                lapack_complex_double* x22, lapack_int ldx22,
+                                double* theta, double* phi,
+                                lapack_complex_double* taup1,
+                                lapack_complex_double* taup2,
+                                lapack_complex_double* tauq1,
+                                lapack_complex_double* tauq2,
+                                lapack_complex_double* work, lapack_int lwork );
+lapack_int LAPACKE_zuncsd( int matrix_order, char jobu1, char jobu2,
+                           char jobv1t, char jobv2t, char trans, char signs,
+                           lapack_int m, lapack_int p, lapack_int q,
+                           lapack_complex_double* x11, lapack_int ldx11,
+                           lapack_complex_double* x12, lapack_int ldx12,
+                           lapack_complex_double* x21, lapack_int ldx21,
+                           lapack_complex_double* x22, lapack_int ldx22,
+                           double* theta, lapack_complex_double* u1,
+                           lapack_int ldu1, lapack_complex_double* u2,
+                           lapack_int ldu2, lapack_complex_double* v1t,
+                           lapack_int ldv1t, lapack_complex_double* v2t,
+                           lapack_int ldv2t );
+lapack_int LAPACKE_zuncsd_work( int matrix_order, char jobu1, char jobu2,
+                                char jobv1t, char jobv2t, char trans,
+                                char signs, lapack_int m, lapack_int p,
+                                lapack_int q, lapack_complex_double* x11,
+                                lapack_int ldx11, lapack_complex_double* x12,
+                                lapack_int ldx12, lapack_complex_double* x21,
+                                lapack_int ldx21, lapack_complex_double* x22,
+                                lapack_int ldx22, double* theta,
+                                lapack_complex_double* u1, lapack_int ldu1,
+                                lapack_complex_double* u2, lapack_int ldu2,
+                                lapack_complex_double* v1t, lapack_int ldv1t,
+                                lapack_complex_double* v2t, lapack_int ldv2t,
+                                lapack_complex_double* work, lapack_int lwork,
+                                double* rwork, lapack_int lrwork,
+                                lapack_int* iwork );
+//LAPACK 3.4.0
+lapack_int LAPACKE_sgemqrt( int matrix_order, char side, char trans,
+                            lapack_int m, lapack_int n, lapack_int k,
+                            lapack_int nb, const float* v, lapack_int ldv,
+                            const float* t, lapack_int ldt, float* c,
+                            lapack_int ldc );
+lapack_int LAPACKE_dgemqrt( int matrix_order, char side, char trans,
+                            lapack_int m, lapack_int n, lapack_int k,
+                            lapack_int nb, const double* v, lapack_int ldv,
+                            const double* t, lapack_int ldt, double* c,
+                            lapack_int ldc );
+lapack_int LAPACKE_cgemqrt( int matrix_order, char side, char trans,
+                            lapack_int m, lapack_int n, lapack_int k,
+                            lapack_int nb, const lapack_complex_float* v,
+                            lapack_int ldv, const lapack_complex_float* t,
+                            lapack_int ldt, lapack_complex_float* c,
+                            lapack_int ldc );
+lapack_int LAPACKE_zgemqrt( int matrix_order, char side, char trans,
+                            lapack_int m, lapack_int n, lapack_int k,
+                            lapack_int nb, const lapack_complex_double* v,
+                            lapack_int ldv, const lapack_complex_double* t,
+                            lapack_int ldt, lapack_complex_double* c,
+                            lapack_int ldc );
+
+lapack_int LAPACKE_sgeqrt( int matrix_order, lapack_int m, lapack_int n,
+                           lapack_int nb, float* a, lapack_int lda, float* t,
+                           lapack_int ldt );
+lapack_int LAPACKE_dgeqrt( int matrix_order, lapack_int m, lapack_int n,
+                           lapack_int nb, double* a, lapack_int lda, double* t,
+                           lapack_int ldt );
+lapack_int LAPACKE_cgeqrt( int matrix_order, lapack_int m, lapack_int n,
+                           lapack_int nb, lapack_complex_float* a,
+                           lapack_int lda, lapack_complex_float* t,
+                           lapack_int ldt );
+lapack_int LAPACKE_zgeqrt( int matrix_order, lapack_int m, lapack_int n,
+                           lapack_int nb, lapack_complex_double* a,
+                           lapack_int lda, lapack_complex_double* t,
+                           lapack_int ldt );
+
+lapack_int LAPACKE_sgeqrt2( int matrix_order, lapack_int m, lapack_int n,
+                            float* a, lapack_int lda, float* t,
+                            lapack_int ldt );
+lapack_int LAPACKE_dgeqrt2( int matrix_order, lapack_int m, lapack_int n,
+                            double* a, lapack_int lda, double* t,
+                            lapack_int ldt );
+lapack_int LAPACKE_cgeqrt2( int matrix_order, lapack_int m, lapack_int n,
+                            lapack_complex_float* a, lapack_int lda,
+                            lapack_complex_float* t, lapack_int ldt );
+lapack_int LAPACKE_zgeqrt2( int matrix_order, lapack_int m, lapack_int n,
+                            lapack_complex_double* a, lapack_int lda,
+                            lapack_complex_double* t, lapack_int ldt );
+
+lapack_int LAPACKE_sgeqrt3( int matrix_order, lapack_int m, lapack_int n,
+                            float* a, lapack_int lda, float* t,
+                            lapack_int ldt );
+lapack_int LAPACKE_dgeqrt3( int matrix_order, lapack_int m, lapack_int n,
+                            double* a, lapack_int lda, double* t,
+                            lapack_int ldt );
+lapack_int LAPACKE_cgeqrt3( int matrix_order, lapack_int m, lapack_int n,
+                            lapack_complex_float* a, lapack_int lda,
+                            lapack_complex_float* t, lapack_int ldt );
+lapack_int LAPACKE_zgeqrt3( int matrix_order, lapack_int m, lapack_int n,
+                            lapack_complex_double* a, lapack_int lda,
+                            lapack_complex_double* t, lapack_int ldt );
+
+lapack_int LAPACKE_stpmqrt( int matrix_order, char side, char trans,
+                            lapack_int m, lapack_int n, lapack_int k,
+                            lapack_int l, lapack_int nb, const float* v,
+                            lapack_int ldv, const float* t, lapack_int ldt,
+                            float* a, lapack_int lda, float* b,
+                            lapack_int ldb );
+lapack_int LAPACKE_dtpmqrt( int matrix_order, char side, char trans,
+                            lapack_int m, lapack_int n, lapack_int k,
+                            lapack_int l, lapack_int nb, const double* v,
+                            lapack_int ldv, const double* t, lapack_int ldt,
+                            double* a, lapack_int lda, double* b,
+                            lapack_int ldb );
+lapack_int LAPACKE_ctpmqrt( int matrix_order, char side, char trans,
+                            lapack_int m, lapack_int n, lapack_int k,
+                            lapack_int l, lapack_int nb,
+                            const lapack_complex_float* v, lapack_int ldv,
+                            const lapack_complex_float* t, lapack_int ldt,
+                            lapack_complex_float* a, lapack_int lda,
+                            lapack_complex_float* b, lapack_int ldb );
+lapack_int LAPACKE_ztpmqrt( int matrix_order, char side, char trans,
+                            lapack_int m, lapack_int n, lapack_int k,
+                            lapack_int l, lapack_int nb,
+                            const lapack_complex_double* v, lapack_int ldv,
+                            const lapack_complex_double* t, lapack_int ldt,
+                            lapack_complex_double* a, lapack_int lda,
+                            lapack_complex_double* b, lapack_int ldb );
+
+lapack_int LAPACKE_dtpqrt( int matrix_order, lapack_int m, lapack_int n,
+                           lapack_int l, lapack_int nb, double* a,
+                           lapack_int lda, double* b, lapack_int ldb, double* t,
+                           lapack_int ldt );
+lapack_int LAPACKE_ctpqrt( int matrix_order, lapack_int m, lapack_int n,
+                           lapack_int l, lapack_int nb, lapack_complex_float* a,
+                           lapack_int lda, lapack_complex_float* t,
+                           lapack_complex_float* b, lapack_int ldb,
+                           lapack_int ldt );
+lapack_int LAPACKE_ztpqrt( int matrix_order, lapack_int m, lapack_int n,
+                           lapack_int l, lapack_int nb,
+                           lapack_complex_double* a, lapack_int lda,
+                           lapack_complex_double* b, lapack_int ldb,
+                           lapack_complex_double* t, lapack_int ldt );
+
+lapack_int LAPACKE_stpqrt2( int matrix_order, lapack_int m, lapack_int n,
+                            float* a, lapack_int lda, float* b, lapack_int ldb,
+                            float* t, lapack_int ldt );
+lapack_int LAPACKE_dtpqrt2( int matrix_order, lapack_int m, lapack_int n,
+                            double* a, lapack_int lda, double* b,
+                            lapack_int ldb, double* t, lapack_int ldt );
+lapack_int LAPACKE_ctpqrt2( int matrix_order, lapack_int m, lapack_int n,
+                            lapack_complex_float* a, lapack_int lda,
+                            lapack_complex_float* b, lapack_int ldb,
+                            lapack_complex_float* t, lapack_int ldt );
+lapack_int LAPACKE_ztpqrt2( int matrix_order, lapack_int m, lapack_int n,
+                            lapack_complex_double* a, lapack_int lda,
+                            lapack_complex_double* b, lapack_int ldb,
+                            lapack_complex_double* t, lapack_int ldt );
+
+lapack_int LAPACKE_stprfb( int matrix_order, char side, char trans, char direct,
+                           char storev, lapack_int m, lapack_int n,
+                           lapack_int k, lapack_int l, const float* v,
+                           lapack_int ldv, const float* t, lapack_int ldt,
+                           float* a, lapack_int lda, float* b, lapack_int ldb,
+                           lapack_int myldwork );
+lapack_int LAPACKE_dtprfb( int matrix_order, char side, char trans, char direct,
+                           char storev, lapack_int m, lapack_int n,
+                           lapack_int k, lapack_int l, const double* v,
+                           lapack_int ldv, const double* t, lapack_int ldt,
+                           double* a, lapack_int lda, double* b, lapack_int ldb,
+                           lapack_int myldwork );
+lapack_int LAPACKE_ctprfb( int matrix_order, char side, char trans, char direct,
+                           char storev, lapack_int m, lapack_int n,
+                           lapack_int k, lapack_int l,
+                           const lapack_complex_float* v, lapack_int ldv,
+                           const lapack_complex_float* t, lapack_int ldt,
+                           lapack_complex_float* a, lapack_int lda,
+                           lapack_complex_float* b, lapack_int ldb,
+                           lapack_int myldwork );
+lapack_int LAPACKE_ztprfb( int matrix_order, char side, char trans, char direct,
+                           char storev, lapack_int m, lapack_int n,
+                           lapack_int k, lapack_int l,
+                           const lapack_complex_double* v, lapack_int ldv,
+                           const lapack_complex_double* t, lapack_int ldt,
+                           lapack_complex_double* a, lapack_int lda,
+                           lapack_complex_double* b, lapack_int ldb,
+                           lapack_int myldwork );
+
+lapack_int LAPACKE_sgemqrt_work( int matrix_order, char side, char trans,
+                                 lapack_int m, lapack_int n, lapack_int k,
+                                 lapack_int nb, const float* v, lapack_int ldv,
+                                 const float* t, lapack_int ldt, float* c,
+                                 lapack_int ldc, float* work );
+lapack_int LAPACKE_dgemqrt_work( int matrix_order, char side, char trans,
+                                 lapack_int m, lapack_int n, lapack_int k,
+                                 lapack_int nb, const double* v, lapack_int ldv,
+                                 const double* t, lapack_int ldt, double* c,
+                                 lapack_int ldc, double* work );
+lapack_int LAPACKE_cgemqrt_work( int matrix_order, char side, char trans,
+                                 lapack_int m, lapack_int n, lapack_int k,
+                                 lapack_int nb, const lapack_complex_float* v,
+                                 lapack_int ldv, const lapack_complex_float* t,
+                                 lapack_int ldt, lapack_complex_float* c,
+                                 lapack_int ldc, lapack_complex_float* work );
+lapack_int LAPACKE_zgemqrt_work( int matrix_order, char side, char trans,
+                                 lapack_int m, lapack_int n, lapack_int k,
+                                 lapack_int nb, const lapack_complex_double* v,
+                                 lapack_int ldv, const lapack_complex_double* t,
+                                 lapack_int ldt, lapack_complex_double* c,
+                                 lapack_int ldc, lapack_complex_double* work );
+
+lapack_int LAPACKE_sgeqrt_work( int matrix_order, lapack_int m, lapack_int n,
+                                lapack_int nb, float* a, lapack_int lda,
+                                float* t, lapack_int ldt, float* work );
+lapack_int LAPACKE_dgeqrt_work( int matrix_order, lapack_int m, lapack_int n,
+                                lapack_int nb, double* a, lapack_int lda,
+                                double* t, lapack_int ldt, double* work );
+lapack_int LAPACKE_cgeqrt_work( int matrix_order, lapack_int m, lapack_int n,
+                                lapack_int nb, lapack_complex_float* a,
+                                lapack_int lda, lapack_complex_float* t,
+                                lapack_int ldt, lapack_complex_float* work );
+lapack_int LAPACKE_zgeqrt_work( int matrix_order, lapack_int m, lapack_int n,
+                                lapack_int nb, lapack_complex_double* a,
+                                lapack_int lda, lapack_complex_double* t,
+                                lapack_int ldt, lapack_complex_double* work );
+
+lapack_int LAPACKE_sgeqrt2_work( int matrix_order, lapack_int m, lapack_int n,
+                                 float* a, lapack_int lda, float* t,
+                                 lapack_int ldt );
+lapack_int LAPACKE_dgeqrt2_work( int matrix_order, lapack_int m, lapack_int n,
+                                 double* a, lapack_int lda, double* t,
+                                 lapack_int ldt );
+lapack_int LAPACKE_cgeqrt2_work( int matrix_order, lapack_int m, lapack_int n,
+                                 lapack_complex_float* a, lapack_int lda,
+                                 lapack_complex_float* t, lapack_int ldt );
+lapack_int LAPACKE_zgeqrt2_work( int matrix_order, lapack_int m, lapack_int n,
+                                 lapack_complex_double* a, lapack_int lda,
+                                 lapack_complex_double* t, lapack_int ldt );
+
+lapack_int LAPACKE_sgeqrt3_work( int matrix_order, lapack_int m, lapack_int n,
+                                 float* a, lapack_int lda, float* t,
+                                 lapack_int ldt );
+lapack_int LAPACKE_dgeqrt3_work( int matrix_order, lapack_int m, lapack_int n,
+                                 double* a, lapack_int lda, double* t,
+                                 lapack_int ldt );
+lapack_int LAPACKE_cgeqrt3_work( int matrix_order, lapack_int m, lapack_int n,
+                                 lapack_complex_float* a, lapack_int lda,
+                                 lapack_complex_float* t, lapack_int ldt );
+lapack_int LAPACKE_zgeqrt3_work( int matrix_order, lapack_int m, lapack_int n,
+                                 lapack_complex_double* a, lapack_int lda,
+                                 lapack_complex_double* t, lapack_int ldt );
+
+lapack_int LAPACKE_stpmqrt_work( int matrix_order, char side, char trans,
+                                 lapack_int m, lapack_int n, lapack_int k,
+                                 lapack_int l, lapack_int nb, const float* v,
+                                 lapack_int ldv, const float* t, lapack_int ldt,
+                                 float* a, lapack_int lda, float* b,
+                                 lapack_int ldb, float* work );
+lapack_int LAPACKE_dtpmqrt_work( int matrix_order, char side, char trans,
+                                 lapack_int m, lapack_int n, lapack_int k,
+                                 lapack_int l, lapack_int nb, const double* v,
+                                 lapack_int ldv, const double* t,
+                                 lapack_int ldt, double* a, lapack_int lda,
+                                 double* b, lapack_int ldb, double* work );
+lapack_int LAPACKE_ctpmqrt_work( int matrix_order, char side, char trans,
+                                 lapack_int m, lapack_int n, lapack_int k,
+                                 lapack_int l, lapack_int nb,
+                                 const lapack_complex_float* v, lapack_int ldv,
+                                 const lapack_complex_float* t, lapack_int ldt,
+                                 lapack_complex_float* a, lapack_int lda,
+                                 lapack_complex_float* b, lapack_int ldb,
+                                 lapack_complex_float* work );
+lapack_int LAPACKE_ztpmqrt_work( int matrix_order, char side, char trans,
+                                 lapack_int m, lapack_int n, lapack_int k,
+                                 lapack_int l, lapack_int nb,
+                                 const lapack_complex_double* v, lapack_int ldv,
+                                 const lapack_complex_double* t, lapack_int ldt,
+                                 lapack_complex_double* a, lapack_int lda,
+                                 lapack_complex_double* b, lapack_int ldb,
+                                 lapack_complex_double* work );
+
+lapack_int LAPACKE_dtpqrt_work( int matrix_order, lapack_int m, lapack_int n,
+                                lapack_int l, lapack_int nb, double* a,
+                                lapack_int lda, double* b, lapack_int ldb,
+                                double* t, lapack_int ldt, double* work );
+lapack_int LAPACKE_ctpqrt_work( int matrix_order, lapack_int m, lapack_int n,
+                                lapack_int l, lapack_int nb,
+                                lapack_complex_float* a, lapack_int lda,
+                                lapack_complex_float* t,
+                                lapack_complex_float* b, lapack_int ldb,
+                                lapack_int ldt, lapack_complex_float* work );
+lapack_int LAPACKE_ztpqrt_work( int matrix_order, lapack_int m, lapack_int n,
+                                lapack_int l, lapack_int nb,
+                                lapack_complex_double* a, lapack_int lda,
+                                lapack_complex_double* b, lapack_int ldb,
+                                lapack_complex_double* t, lapack_int ldt,
+                                lapack_complex_double* work );
+
+lapack_int LAPACKE_stpqrt2_work( int matrix_order, lapack_int m, lapack_int n,
+                                 float* a, lapack_int lda, float* b,
+                                 lapack_int ldb, float* t, lapack_int ldt );
+lapack_int LAPACKE_dtpqrt2_work( int matrix_order, lapack_int m, lapack_int n,
+                                 double* a, lapack_int lda, double* b,
+                                 lapack_int ldb, double* t, lapack_int ldt );
+lapack_int LAPACKE_ctpqrt2_work( int matrix_order, lapack_int m, lapack_int n,
+                                 lapack_complex_float* a, lapack_int lda,
+                                 lapack_complex_float* b, lapack_int ldb,
+                                 lapack_complex_float* t, lapack_int ldt );
+lapack_int LAPACKE_ztpqrt2_work( int matrix_order, lapack_int m, lapack_int n,
+                                 lapack_complex_double* a, lapack_int lda,
+                                 lapack_complex_double* b, lapack_int ldb,
+                                 lapack_complex_double* t, lapack_int ldt );
+
+lapack_int LAPACKE_stprfb_work( int matrix_order, char side, char trans,
+                                char direct, char storev, lapack_int m,
+                                lapack_int n, lapack_int k, lapack_int l,
+                                const float* v, lapack_int ldv, const float* t,
+                                lapack_int ldt, float* a, lapack_int lda,
+                                float* b, lapack_int ldb, const float* mywork,
+                                lapack_int myldwork );
+lapack_int LAPACKE_dtprfb_work( int matrix_order, char side, char trans,
+                                char direct, char storev, lapack_int m,
+                                lapack_int n, lapack_int k, lapack_int l,
+                                const double* v, lapack_int ldv,
+                                const double* t, lapack_int ldt, double* a,
+                                lapack_int lda, double* b, lapack_int ldb,
+                                const double* mywork, lapack_int myldwork );
+lapack_int LAPACKE_ctprfb_work( int matrix_order, char side, char trans,
+                                char direct, char storev, lapack_int m,
+                                lapack_int n, lapack_int k, lapack_int l,
+                                const lapack_complex_float* v, lapack_int ldv,
+                                const lapack_complex_float* t, lapack_int ldt,
+                                lapack_complex_float* a, lapack_int lda,
+                                lapack_complex_float* b, lapack_int ldb,
+                                const float* mywork, lapack_int myldwork );
+lapack_int LAPACKE_ztprfb_work( int matrix_order, char side, char trans,
+                                char direct, char storev, lapack_int m,
+                                lapack_int n, lapack_int k, lapack_int l,
+                                const lapack_complex_double* v, lapack_int ldv,
+                                const lapack_complex_double* t, lapack_int ldt,
+                                lapack_complex_double* a, lapack_int lda,
+                                lapack_complex_double* b, lapack_int ldb,
+                                const double* mywork, lapack_int myldwork );
+//LAPACK 3.X.X
+lapack_int LAPACKE_csyr( int matrix_order, char uplo, lapack_int n,
+                             lapack_complex_float alpha,
+                             const lapack_complex_float* x, lapack_int incx,
+                             lapack_complex_float* a, lapack_int lda );
+lapack_int LAPACKE_zsyr( int matrix_order, char uplo, lapack_int n,
+                             lapack_complex_double alpha,
+                             const lapack_complex_double* x, lapack_int incx,
+                             lapack_complex_double* a, lapack_int lda );
+
+lapack_int LAPACKE_csyr_work( int matrix_order, char uplo, lapack_int n,
+                                  lapack_complex_float alpha,
+                                  const lapack_complex_float* x,
+                                  lapack_int incx, lapack_complex_float* a,
+                                  lapack_int lda );
+lapack_int LAPACKE_zsyr_work( int matrix_order, char uplo, lapack_int n,
+                                  lapack_complex_double alpha,
+                                  const lapack_complex_double* x,
+                                  lapack_int incx, lapack_complex_double* a,
+                                  lapack_int lda );
+
+
+
+#define LAPACK_sgetrf LAPACK_GLOBAL(sgetrf,SGETRF)
+#define LAPACK_dgetrf LAPACK_GLOBAL(dgetrf,DGETRF)
+#define LAPACK_cgetrf LAPACK_GLOBAL(cgetrf,CGETRF)
+#define LAPACK_zgetrf LAPACK_GLOBAL(zgetrf,ZGETRF)
+#define LAPACK_sgbtrf LAPACK_GLOBAL(sgbtrf,SGBTRF)
+#define LAPACK_dgbtrf LAPACK_GLOBAL(dgbtrf,DGBTRF)
+#define LAPACK_cgbtrf LAPACK_GLOBAL(cgbtrf,CGBTRF)
+#define LAPACK_zgbtrf LAPACK_GLOBAL(zgbtrf,ZGBTRF)
+#define LAPACK_sgttrf LAPACK_GLOBAL(sgttrf,SGTTRF)
+#define LAPACK_dgttrf LAPACK_GLOBAL(dgttrf,DGTTRF)
+#define LAPACK_cgttrf LAPACK_GLOBAL(cgttrf,CGTTRF)
+#define LAPACK_zgttrf LAPACK_GLOBAL(zgttrf,ZGTTRF)
+#define LAPACK_spotrf LAPACK_GLOBAL(spotrf,SPOTRF)
+#define LAPACK_dpotrf LAPACK_GLOBAL(dpotrf,DPOTRF)
+#define LAPACK_cpotrf LAPACK_GLOBAL(cpotrf,CPOTRF)
+#define LAPACK_zpotrf LAPACK_GLOBAL(zpotrf,ZPOTRF)
+#define LAPACK_dpstrf LAPACK_GLOBAL(dpstrf,DPSTRF)
+#define LAPACK_spstrf LAPACK_GLOBAL(spstrf,SPSTRF)
+#define LAPACK_zpstrf LAPACK_GLOBAL(zpstrf,ZPSTRF)
+#define LAPACK_cpstrf LAPACK_GLOBAL(cpstrf,CPSTRF)
+#define LAPACK_dpftrf LAPACK_GLOBAL(dpftrf,DPFTRF)
+#define LAPACK_spftrf LAPACK_GLOBAL(spftrf,SPFTRF)
+#define LAPACK_zpftrf LAPACK_GLOBAL(zpftrf,ZPFTRF)
+#define LAPACK_cpftrf LAPACK_GLOBAL(cpftrf,CPFTRF)
+#define LAPACK_spptrf LAPACK_GLOBAL(spptrf,SPPTRF)
+#define LAPACK_dpptrf LAPACK_GLOBAL(dpptrf,DPPTRF)
+#define LAPACK_cpptrf LAPACK_GLOBAL(cpptrf,CPPTRF)
+#define LAPACK_zpptrf LAPACK_GLOBAL(zpptrf,ZPPTRF)
+#define LAPACK_spbtrf LAPACK_GLOBAL(spbtrf,SPBTRF)
+#define LAPACK_dpbtrf LAPACK_GLOBAL(dpbtrf,DPBTRF)
+#define LAPACK_cpbtrf LAPACK_GLOBAL(cpbtrf,CPBTRF)
+#define LAPACK_zpbtrf LAPACK_GLOBAL(zpbtrf,ZPBTRF)
+#define LAPACK_spttrf LAPACK_GLOBAL(spttrf,SPTTRF)
+#define LAPACK_dpttrf LAPACK_GLOBAL(dpttrf,DPTTRF)
+#define LAPACK_cpttrf LAPACK_GLOBAL(cpttrf,CPTTRF)
+#define LAPACK_zpttrf LAPACK_GLOBAL(zpttrf,ZPTTRF)
+#define LAPACK_ssytrf LAPACK_GLOBAL(ssytrf,SSYTRF)
+#define LAPACK_dsytrf LAPACK_GLOBAL(dsytrf,DSYTRF)
+#define LAPACK_csytrf LAPACK_GLOBAL(csytrf,CSYTRF)
+#define LAPACK_zsytrf LAPACK_GLOBAL(zsytrf,ZSYTRF)
+#define LAPACK_chetrf LAPACK_GLOBAL(chetrf,CHETRF)
+#define LAPACK_zhetrf LAPACK_GLOBAL(zhetrf,ZHETRF)
+#define LAPACK_ssptrf LAPACK_GLOBAL(ssptrf,SSPTRF)
+#define LAPACK_dsptrf LAPACK_GLOBAL(dsptrf,DSPTRF)
+#define LAPACK_csptrf LAPACK_GLOBAL(csptrf,CSPTRF)
+#define LAPACK_zsptrf LAPACK_GLOBAL(zsptrf,ZSPTRF)
+#define LAPACK_chptrf LAPACK_GLOBAL(chptrf,CHPTRF)
+#define LAPACK_zhptrf LAPACK_GLOBAL(zhptrf,ZHPTRF)
+#define LAPACK_sgetrs LAPACK_GLOBAL(sgetrs,SGETRS)
+#define LAPACK_dgetrs LAPACK_GLOBAL(dgetrs,DGETRS)
+#define LAPACK_cgetrs LAPACK_GLOBAL(cgetrs,CGETRS)
+#define LAPACK_zgetrs LAPACK_GLOBAL(zgetrs,ZGETRS)
+#define LAPACK_sgbtrs LAPACK_GLOBAL(sgbtrs,SGBTRS)
+#define LAPACK_dgbtrs LAPACK_GLOBAL(dgbtrs,DGBTRS)
+#define LAPACK_cgbtrs LAPACK_GLOBAL(cgbtrs,CGBTRS)
+#define LAPACK_zgbtrs LAPACK_GLOBAL(zgbtrs,ZGBTRS)
+#define LAPACK_sgttrs LAPACK_GLOBAL(sgttrs,SGTTRS)
+#define LAPACK_dgttrs LAPACK_GLOBAL(dgttrs,DGTTRS)
+#define LAPACK_cgttrs LAPACK_GLOBAL(cgttrs,CGTTRS)
+#define LAPACK_zgttrs LAPACK_GLOBAL(zgttrs,ZGTTRS)
+#define LAPACK_spotrs LAPACK_GLOBAL(spotrs,SPOTRS)
+#define LAPACK_dpotrs LAPACK_GLOBAL(dpotrs,DPOTRS)
+#define LAPACK_cpotrs LAPACK_GLOBAL(cpotrs,CPOTRS)
+#define LAPACK_zpotrs LAPACK_GLOBAL(zpotrs,ZPOTRS)
+#define LAPACK_dpftrs LAPACK_GLOBAL(dpftrs,DPFTRS)
+#define LAPACK_spftrs LAPACK_GLOBAL(spftrs,SPFTRS)
+#define LAPACK_zpftrs LAPACK_GLOBAL(zpftrs,ZPFTRS)
+#define LAPACK_cpftrs LAPACK_GLOBAL(cpftrs,CPFTRS)
+#define LAPACK_spptrs LAPACK_GLOBAL(spptrs,SPPTRS)
+#define LAPACK_dpptrs LAPACK_GLOBAL(dpptrs,DPPTRS)
+#define LAPACK_cpptrs LAPACK_GLOBAL(cpptrs,CPPTRS)
+#define LAPACK_zpptrs LAPACK_GLOBAL(zpptrs,ZPPTRS)
+#define LAPACK_spbtrs LAPACK_GLOBAL(spbtrs,SPBTRS)
+#define LAPACK_dpbtrs LAPACK_GLOBAL(dpbtrs,DPBTRS)
+#define LAPACK_cpbtrs LAPACK_GLOBAL(cpbtrs,CPBTRS)
+#define LAPACK_zpbtrs LAPACK_GLOBAL(zpbtrs,ZPBTRS)
+#define LAPACK_spttrs LAPACK_GLOBAL(spttrs,SPTTRS)
+#define LAPACK_dpttrs LAPACK_GLOBAL(dpttrs,DPTTRS)
+#define LAPACK_cpttrs LAPACK_GLOBAL(cpttrs,CPTTRS)
+#define LAPACK_zpttrs LAPACK_GLOBAL(zpttrs,ZPTTRS)
+#define LAPACK_ssytrs LAPACK_GLOBAL(ssytrs,SSYTRS)
+#define LAPACK_dsytrs LAPACK_GLOBAL(dsytrs,DSYTRS)
+#define LAPACK_csytrs LAPACK_GLOBAL(csytrs,CSYTRS)
+#define LAPACK_zsytrs LAPACK_GLOBAL(zsytrs,ZSYTRS)
+#define LAPACK_chetrs LAPACK_GLOBAL(chetrs,CHETRS)
+#define LAPACK_zhetrs LAPACK_GLOBAL(zhetrs,ZHETRS)
+#define LAPACK_ssptrs LAPACK_GLOBAL(ssptrs,SSPTRS)
+#define LAPACK_dsptrs LAPACK_GLOBAL(dsptrs,DSPTRS)
+#define LAPACK_csptrs LAPACK_GLOBAL(csptrs,CSPTRS)
+#define LAPACK_zsptrs LAPACK_GLOBAL(zsptrs,ZSPTRS)
+#define LAPACK_chptrs LAPACK_GLOBAL(chptrs,CHPTRS)
+#define LAPACK_zhptrs LAPACK_GLOBAL(zhptrs,ZHPTRS)
+#define LAPACK_strtrs LAPACK_GLOBAL(strtrs,STRTRS)
+#define LAPACK_dtrtrs LAPACK_GLOBAL(dtrtrs,DTRTRS)
+#define LAPACK_ctrtrs LAPACK_GLOBAL(ctrtrs,CTRTRS)
+#define LAPACK_ztrtrs LAPACK_GLOBAL(ztrtrs,ZTRTRS)
+#define LAPACK_stptrs LAPACK_GLOBAL(stptrs,STPTRS)
+#define LAPACK_dtptrs LAPACK_GLOBAL(dtptrs,DTPTRS)
+#define LAPACK_ctptrs LAPACK_GLOBAL(ctptrs,CTPTRS)
+#define LAPACK_ztptrs LAPACK_GLOBAL(ztptrs,ZTPTRS)
+#define LAPACK_stbtrs LAPACK_GLOBAL(stbtrs,STBTRS)
+#define LAPACK_dtbtrs LAPACK_GLOBAL(dtbtrs,DTBTRS)
+#define LAPACK_ctbtrs LAPACK_GLOBAL(ctbtrs,CTBTRS)
+#define LAPACK_ztbtrs LAPACK_GLOBAL(ztbtrs,ZTBTRS)
+#define LAPACK_sgecon LAPACK_GLOBAL(sgecon,SGECON)
+#define LAPACK_dgecon LAPACK_GLOBAL(dgecon,DGECON)
+#define LAPACK_cgecon LAPACK_GLOBAL(cgecon,CGECON)
+#define LAPACK_zgecon LAPACK_GLOBAL(zgecon,ZGECON)
+#define LAPACK_sgbcon LAPACK_GLOBAL(sgbcon,SGBCON)
+#define LAPACK_dgbcon LAPACK_GLOBAL(dgbcon,DGBCON)
+#define LAPACK_cgbcon LAPACK_GLOBAL(cgbcon,CGBCON)
+#define LAPACK_zgbcon LAPACK_GLOBAL(zgbcon,ZGBCON)
+#define LAPACK_sgtcon LAPACK_GLOBAL(sgtcon,SGTCON)
+#define LAPACK_dgtcon LAPACK_GLOBAL(dgtcon,DGTCON)
+#define LAPACK_cgtcon LAPACK_GLOBAL(cgtcon,CGTCON)
+#define LAPACK_zgtcon LAPACK_GLOBAL(zgtcon,ZGTCON)
+#define LAPACK_spocon LAPACK_GLOBAL(spocon,SPOCON)
+#define LAPACK_dpocon LAPACK_GLOBAL(dpocon,DPOCON)
+#define LAPACK_cpocon LAPACK_GLOBAL(cpocon,CPOCON)
+#define LAPACK_zpocon LAPACK_GLOBAL(zpocon,ZPOCON)
+#define LAPACK_sppcon LAPACK_GLOBAL(sppcon,SPPCON)
+#define LAPACK_dppcon LAPACK_GLOBAL(dppcon,DPPCON)
+#define LAPACK_cppcon LAPACK_GLOBAL(cppcon,CPPCON)
+#define LAPACK_zppcon LAPACK_GLOBAL(zppcon,ZPPCON)
+#define LAPACK_spbcon LAPACK_GLOBAL(spbcon,SPBCON)
+#define LAPACK_dpbcon LAPACK_GLOBAL(dpbcon,DPBCON)
+#define LAPACK_cpbcon LAPACK_GLOBAL(cpbcon,CPBCON)
+#define LAPACK_zpbcon LAPACK_GLOBAL(zpbcon,ZPBCON)
+#define LAPACK_sptcon LAPACK_GLOBAL(sptcon,SPTCON)
+#define LAPACK_dptcon LAPACK_GLOBAL(dptcon,DPTCON)
+#define LAPACK_cptcon LAPACK_GLOBAL(cptcon,CPTCON)
+#define LAPACK_zptcon LAPACK_GLOBAL(zptcon,ZPTCON)
+#define LAPACK_ssycon LAPACK_GLOBAL(ssycon,SSYCON)
+#define LAPACK_dsycon LAPACK_GLOBAL(dsycon,DSYCON)
+#define LAPACK_csycon LAPACK_GLOBAL(csycon,CSYCON)
+#define LAPACK_zsycon LAPACK_GLOBAL(zsycon,ZSYCON)
+#define LAPACK_checon LAPACK_GLOBAL(checon,CHECON)
+#define LAPACK_zhecon LAPACK_GLOBAL(zhecon,ZHECON)
+#define LAPACK_sspcon LAPACK_GLOBAL(sspcon,SSPCON)
+#define LAPACK_dspcon LAPACK_GLOBAL(dspcon,DSPCON)
+#define LAPACK_cspcon LAPACK_GLOBAL(cspcon,CSPCON)
+#define LAPACK_zspcon LAPACK_GLOBAL(zspcon,ZSPCON)
+#define LAPACK_chpcon LAPACK_GLOBAL(chpcon,CHPCON)
+#define LAPACK_zhpcon LAPACK_GLOBAL(zhpcon,ZHPCON)
+#define LAPACK_strcon LAPACK_GLOBAL(strcon,STRCON)
+#define LAPACK_dtrcon LAPACK_GLOBAL(dtrcon,DTRCON)
+#define LAPACK_ctrcon LAPACK_GLOBAL(ctrcon,CTRCON)
+#define LAPACK_ztrcon LAPACK_GLOBAL(ztrcon,ZTRCON)
+#define LAPACK_stpcon LAPACK_GLOBAL(stpcon,STPCON)
+#define LAPACK_dtpcon LAPACK_GLOBAL(dtpcon,DTPCON)
+#define LAPACK_ctpcon LAPACK_GLOBAL(ctpcon,CTPCON)
+#define LAPACK_ztpcon LAPACK_GLOBAL(ztpcon,ZTPCON)
+#define LAPACK_stbcon LAPACK_GLOBAL(stbcon,STBCON)
+#define LAPACK_dtbcon LAPACK_GLOBAL(dtbcon,DTBCON)
+#define LAPACK_ctbcon LAPACK_GLOBAL(ctbcon,CTBCON)
+#define LAPACK_ztbcon LAPACK_GLOBAL(ztbcon,ZTBCON)
+#define LAPACK_sgerfs LAPACK_GLOBAL(sgerfs,SGERFS)
+#define LAPACK_dgerfs LAPACK_GLOBAL(dgerfs,DGERFS)
+#define LAPACK_cgerfs LAPACK_GLOBAL(cgerfs,CGERFS)
+#define LAPACK_zgerfs LAPACK_GLOBAL(zgerfs,ZGERFS)
+#define LAPACK_dgerfsx LAPACK_GLOBAL(dgerfsx,DGERFSX)
+#define LAPACK_sgerfsx LAPACK_GLOBAL(sgerfsx,SGERFSX)
+#define LAPACK_zgerfsx LAPACK_GLOBAL(zgerfsx,ZGERFSX)
+#define LAPACK_cgerfsx LAPACK_GLOBAL(cgerfsx,CGERFSX)
+#define LAPACK_sgbrfs LAPACK_GLOBAL(sgbrfs,SGBRFS)
+#define LAPACK_dgbrfs LAPACK_GLOBAL(dgbrfs,DGBRFS)
+#define LAPACK_cgbrfs LAPACK_GLOBAL(cgbrfs,CGBRFS)
+#define LAPACK_zgbrfs LAPACK_GLOBAL(zgbrfs,ZGBRFS)
+#define LAPACK_dgbrfsx LAPACK_GLOBAL(dgbrfsx,DGBRFSX)
+#define LAPACK_sgbrfsx LAPACK_GLOBAL(sgbrfsx,SGBRFSX)
+#define LAPACK_zgbrfsx LAPACK_GLOBAL(zgbrfsx,ZGBRFSX)
+#define LAPACK_cgbrfsx LAPACK_GLOBAL(cgbrfsx,CGBRFSX)
+#define LAPACK_sgtrfs LAPACK_GLOBAL(sgtrfs,SGTRFS)
+#define LAPACK_dgtrfs LAPACK_GLOBAL(dgtrfs,DGTRFS)
+#define LAPACK_cgtrfs LAPACK_GLOBAL(cgtrfs,CGTRFS)
+#define LAPACK_zgtrfs LAPACK_GLOBAL(zgtrfs,ZGTRFS)
+#define LAPACK_sporfs LAPACK_GLOBAL(sporfs,SPORFS)
+#define LAPACK_dporfs LAPACK_GLOBAL(dporfs,DPORFS)
+#define LAPACK_cporfs LAPACK_GLOBAL(cporfs,CPORFS)
+#define LAPACK_zporfs LAPACK_GLOBAL(zporfs,ZPORFS)
+#define LAPACK_dporfsx LAPACK_GLOBAL(dporfsx,DPORFSX)
+#define LAPACK_sporfsx LAPACK_GLOBAL(sporfsx,SPORFSX)
+#define LAPACK_zporfsx LAPACK_GLOBAL(zporfsx,ZPORFSX)
+#define LAPACK_cporfsx LAPACK_GLOBAL(cporfsx,CPORFSX)
+#define LAPACK_spprfs LAPACK_GLOBAL(spprfs,SPPRFS)
+#define LAPACK_dpprfs LAPACK_GLOBAL(dpprfs,DPPRFS)
+#define LAPACK_cpprfs LAPACK_GLOBAL(cpprfs,CPPRFS)
+#define LAPACK_zpprfs LAPACK_GLOBAL(zpprfs,ZPPRFS)
+#define LAPACK_spbrfs LAPACK_GLOBAL(spbrfs,SPBRFS)
+#define LAPACK_dpbrfs LAPACK_GLOBAL(dpbrfs,DPBRFS)
+#define LAPACK_cpbrfs LAPACK_GLOBAL(cpbrfs,CPBRFS)
+#define LAPACK_zpbrfs LAPACK_GLOBAL(zpbrfs,ZPBRFS)
+#define LAPACK_sptrfs LAPACK_GLOBAL(sptrfs,SPTRFS)
+#define LAPACK_dptrfs LAPACK_GLOBAL(dptrfs,DPTRFS)
+#define LAPACK_cptrfs LAPACK_GLOBAL(cptrfs,CPTRFS)
+#define LAPACK_zptrfs LAPACK_GLOBAL(zptrfs,ZPTRFS)
+#define LAPACK_ssyrfs LAPACK_GLOBAL(ssyrfs,SSYRFS)
+#define LAPACK_dsyrfs LAPACK_GLOBAL(dsyrfs,DSYRFS)
+#define LAPACK_csyrfs LAPACK_GLOBAL(csyrfs,CSYRFS)
+#define LAPACK_zsyrfs LAPACK_GLOBAL(zsyrfs,ZSYRFS)
+#define LAPACK_dsyrfsx LAPACK_GLOBAL(dsyrfsx,DSYRFSX)
+#define LAPACK_ssyrfsx LAPACK_GLOBAL(ssyrfsx,SSYRFSX)
+#define LAPACK_zsyrfsx LAPACK_GLOBAL(zsyrfsx,ZSYRFSX)
+#define LAPACK_csyrfsx LAPACK_GLOBAL(csyrfsx,CSYRFSX)
+#define LAPACK_cherfs LAPACK_GLOBAL(cherfs,CHERFS)
+#define LAPACK_zherfs LAPACK_GLOBAL(zherfs,ZHERFS)
+#define LAPACK_zherfsx LAPACK_GLOBAL(zherfsx,ZHERFSX)
+#define LAPACK_cherfsx LAPACK_GLOBAL(cherfsx,CHERFSX)
+#define LAPACK_ssprfs LAPACK_GLOBAL(ssprfs,SSPRFS)
+#define LAPACK_dsprfs LAPACK_GLOBAL(dsprfs,DSPRFS)
+#define LAPACK_csprfs LAPACK_GLOBAL(csprfs,CSPRFS)
+#define LAPACK_zsprfs LAPACK_GLOBAL(zsprfs,ZSPRFS)
+#define LAPACK_chprfs LAPACK_GLOBAL(chprfs,CHPRFS)
+#define LAPACK_zhprfs LAPACK_GLOBAL(zhprfs,ZHPRFS)
+#define LAPACK_strrfs LAPACK_GLOBAL(strrfs,STRRFS)
+#define LAPACK_dtrrfs LAPACK_GLOBAL(dtrrfs,DTRRFS)
+#define LAPACK_ctrrfs LAPACK_GLOBAL(ctrrfs,CTRRFS)
+#define LAPACK_ztrrfs LAPACK_GLOBAL(ztrrfs,ZTRRFS)
+#define LAPACK_stprfs LAPACK_GLOBAL(stprfs,STPRFS)
+#define LAPACK_dtprfs LAPACK_GLOBAL(dtprfs,DTPRFS)
+#define LAPACK_ctprfs LAPACK_GLOBAL(ctprfs,CTPRFS)
+#define LAPACK_ztprfs LAPACK_GLOBAL(ztprfs,ZTPRFS)
+#define LAPACK_stbrfs LAPACK_GLOBAL(stbrfs,STBRFS)
+#define LAPACK_dtbrfs LAPACK_GLOBAL(dtbrfs,DTBRFS)
+#define LAPACK_ctbrfs LAPACK_GLOBAL(ctbrfs,CTBRFS)
+#define LAPACK_ztbrfs LAPACK_GLOBAL(ztbrfs,ZTBRFS)
+#define LAPACK_sgetri LAPACK_GLOBAL(sgetri,SGETRI)
+#define LAPACK_dgetri LAPACK_GLOBAL(dgetri,DGETRI)
+#define LAPACK_cgetri LAPACK_GLOBAL(cgetri,CGETRI)
+#define LAPACK_zgetri LAPACK_GLOBAL(zgetri,ZGETRI)
+#define LAPACK_spotri LAPACK_GLOBAL(spotri,SPOTRI)
+#define LAPACK_dpotri LAPACK_GLOBAL(dpotri,DPOTRI)
+#define LAPACK_cpotri LAPACK_GLOBAL(cpotri,CPOTRI)
+#define LAPACK_zpotri LAPACK_GLOBAL(zpotri,ZPOTRI)
+#define LAPACK_dpftri LAPACK_GLOBAL(dpftri,DPFTRI)
+#define LAPACK_spftri LAPACK_GLOBAL(spftri,SPFTRI)
+#define LAPACK_zpftri LAPACK_GLOBAL(zpftri,ZPFTRI)
+#define LAPACK_cpftri LAPACK_GLOBAL(cpftri,CPFTRI)
+#define LAPACK_spptri LAPACK_GLOBAL(spptri,SPPTRI)
+#define LAPACK_dpptri LAPACK_GLOBAL(dpptri,DPPTRI)
+#define LAPACK_cpptri LAPACK_GLOBAL(cpptri,CPPTRI)
+#define LAPACK_zpptri LAPACK_GLOBAL(zpptri,ZPPTRI)
+#define LAPACK_ssytri LAPACK_GLOBAL(ssytri,SSYTRI)
+#define LAPACK_dsytri LAPACK_GLOBAL(dsytri,DSYTRI)
+#define LAPACK_csytri LAPACK_GLOBAL(csytri,CSYTRI)
+#define LAPACK_zsytri LAPACK_GLOBAL(zsytri,ZSYTRI)
+#define LAPACK_chetri LAPACK_GLOBAL(chetri,CHETRI)
+#define LAPACK_zhetri LAPACK_GLOBAL(zhetri,ZHETRI)
+#define LAPACK_ssptri LAPACK_GLOBAL(ssptri,SSPTRI)
+#define LAPACK_dsptri LAPACK_GLOBAL(dsptri,DSPTRI)
+#define LAPACK_csptri LAPACK_GLOBAL(csptri,CSPTRI)
+#define LAPACK_zsptri LAPACK_GLOBAL(zsptri,ZSPTRI)
+#define LAPACK_chptri LAPACK_GLOBAL(chptri,CHPTRI)
+#define LAPACK_zhptri LAPACK_GLOBAL(zhptri,ZHPTRI)
+#define LAPACK_strtri LAPACK_GLOBAL(strtri,STRTRI)
+#define LAPACK_dtrtri LAPACK_GLOBAL(dtrtri,DTRTRI)
+#define LAPACK_ctrtri LAPACK_GLOBAL(ctrtri,CTRTRI)
+#define LAPACK_ztrtri LAPACK_GLOBAL(ztrtri,ZTRTRI)
+#define LAPACK_dtftri LAPACK_GLOBAL(dtftri,DTFTRI)
+#define LAPACK_stftri LAPACK_GLOBAL(stftri,STFTRI)
+#define LAPACK_ztftri LAPACK_GLOBAL(ztftri,ZTFTRI)
+#define LAPACK_ctftri LAPACK_GLOBAL(ctftri,CTFTRI)
+#define LAPACK_stptri LAPACK_GLOBAL(stptri,STPTRI)
+#define LAPACK_dtptri LAPACK_GLOBAL(dtptri,DTPTRI)
+#define LAPACK_ctptri LAPACK_GLOBAL(ctptri,CTPTRI)
+#define LAPACK_ztptri LAPACK_GLOBAL(ztptri,ZTPTRI)
+#define LAPACK_sgeequ LAPACK_GLOBAL(sgeequ,SGEEQU)
+#define LAPACK_dgeequ LAPACK_GLOBAL(dgeequ,DGEEQU)
+#define LAPACK_cgeequ LAPACK_GLOBAL(cgeequ,CGEEQU)
+#define LAPACK_zgeequ LAPACK_GLOBAL(zgeequ,ZGEEQU)
+#define LAPACK_dgeequb LAPACK_GLOBAL(dgeequb,DGEEQUB)
+#define LAPACK_sgeequb LAPACK_GLOBAL(sgeequb,SGEEQUB)
+#define LAPACK_zgeequb LAPACK_GLOBAL(zgeequb,ZGEEQUB)
+#define LAPACK_cgeequb LAPACK_GLOBAL(cgeequb,CGEEQUB)
+#define LAPACK_sgbequ LAPACK_GLOBAL(sgbequ,SGBEQU)
+#define LAPACK_dgbequ LAPACK_GLOBAL(dgbequ,DGBEQU)
+#define LAPACK_cgbequ LAPACK_GLOBAL(cgbequ,CGBEQU)
+#define LAPACK_zgbequ LAPACK_GLOBAL(zgbequ,ZGBEQU)
+#define LAPACK_dgbequb LAPACK_GLOBAL(dgbequb,DGBEQUB)
+#define LAPACK_sgbequb LAPACK_GLOBAL(sgbequb,SGBEQUB)
+#define LAPACK_zgbequb LAPACK_GLOBAL(zgbequb,ZGBEQUB)
+#define LAPACK_cgbequb LAPACK_GLOBAL(cgbequb,CGBEQUB)
+#define LAPACK_spoequ LAPACK_GLOBAL(spoequ,SPOEQU)
+#define LAPACK_dpoequ LAPACK_GLOBAL(dpoequ,DPOEQU)
+#define LAPACK_cpoequ LAPACK_GLOBAL(cpoequ,CPOEQU)
+#define LAPACK_zpoequ LAPACK_GLOBAL(zpoequ,ZPOEQU)
+#define LAPACK_dpoequb LAPACK_GLOBAL(dpoequb,DPOEQUB)
+#define LAPACK_spoequb LAPACK_GLOBAL(spoequb,SPOEQUB)
+#define LAPACK_zpoequb LAPACK_GLOBAL(zpoequb,ZPOEQUB)
+#define LAPACK_cpoequb LAPACK_GLOBAL(cpoequb,CPOEQUB)
+#define LAPACK_sppequ LAPACK_GLOBAL(sppequ,SPPEQU)
+#define LAPACK_dppequ LAPACK_GLOBAL(dppequ,DPPEQU)
+#define LAPACK_cppequ LAPACK_GLOBAL(cppequ,CPPEQU)
+#define LAPACK_zppequ LAPACK_GLOBAL(zppequ,ZPPEQU)
+#define LAPACK_spbequ LAPACK_GLOBAL(spbequ,SPBEQU)
+#define LAPACK_dpbequ LAPACK_GLOBAL(dpbequ,DPBEQU)
+#define LAPACK_cpbequ LAPACK_GLOBAL(cpbequ,CPBEQU)
+#define LAPACK_zpbequ LAPACK_GLOBAL(zpbequ,ZPBEQU)
+#define LAPACK_dsyequb LAPACK_GLOBAL(dsyequb,DSYEQUB)
+#define LAPACK_ssyequb LAPACK_GLOBAL(ssyequb,SSYEQUB)
+#define LAPACK_zsyequb LAPACK_GLOBAL(zsyequb,ZSYEQUB)
+#define LAPACK_csyequb LAPACK_GLOBAL(csyequb,CSYEQUB)
+#define LAPACK_zheequb LAPACK_GLOBAL(zheequb,ZHEEQUB)
+#define LAPACK_cheequb LAPACK_GLOBAL(cheequb,CHEEQUB)
+#define LAPACK_sgesv LAPACK_GLOBAL(sgesv,SGESV)
+#define LAPACK_dgesv LAPACK_GLOBAL(dgesv,DGESV)
+#define LAPACK_cgesv LAPACK_GLOBAL(cgesv,CGESV)
+#define LAPACK_zgesv LAPACK_GLOBAL(zgesv,ZGESV)
+#define LAPACK_dsgesv LAPACK_GLOBAL(dsgesv,DSGESV)
+#define LAPACK_zcgesv LAPACK_GLOBAL(zcgesv,ZCGESV)
+#define LAPACK_sgesvx LAPACK_GLOBAL(sgesvx,SGESVX)
+#define LAPACK_dgesvx LAPACK_GLOBAL(dgesvx,DGESVX)
+#define LAPACK_cgesvx LAPACK_GLOBAL(cgesvx,CGESVX)
+#define LAPACK_zgesvx LAPACK_GLOBAL(zgesvx,ZGESVX)
+#define LAPACK_dgesvxx LAPACK_GLOBAL(dgesvxx,DGESVXX)
+#define LAPACK_sgesvxx LAPACK_GLOBAL(sgesvxx,SGESVXX)
+#define LAPACK_zgesvxx LAPACK_GLOBAL(zgesvxx,ZGESVXX)
+#define LAPACK_cgesvxx LAPACK_GLOBAL(cgesvxx,CGESVXX)
+#define LAPACK_sgbsv LAPACK_GLOBAL(sgbsv,SGBSV)
+#define LAPACK_dgbsv LAPACK_GLOBAL(dgbsv,DGBSV)
+#define LAPACK_cgbsv LAPACK_GLOBAL(cgbsv,CGBSV)
+#define LAPACK_zgbsv LAPACK_GLOBAL(zgbsv,ZGBSV)
+#define LAPACK_sgbsvx LAPACK_GLOBAL(sgbsvx,SGBSVX)
+#define LAPACK_dgbsvx LAPACK_GLOBAL(dgbsvx,DGBSVX)
+#define LAPACK_cgbsvx LAPACK_GLOBAL(cgbsvx,CGBSVX)
+#define LAPACK_zgbsvx LAPACK_GLOBAL(zgbsvx,ZGBSVX)
+#define LAPACK_dgbsvxx LAPACK_GLOBAL(dgbsvxx,DGBSVXX)
+#define LAPACK_sgbsvxx LAPACK_GLOBAL(sgbsvxx,SGBSVXX)
+#define LAPACK_zgbsvxx LAPACK_GLOBAL(zgbsvxx,ZGBSVXX)
+#define LAPACK_cgbsvxx LAPACK_GLOBAL(cgbsvxx,CGBSVXX)
+#define LAPACK_sgtsv LAPACK_GLOBAL(sgtsv,SGTSV)
+#define LAPACK_dgtsv LAPACK_GLOBAL(dgtsv,DGTSV)
+#define LAPACK_cgtsv LAPACK_GLOBAL(cgtsv,CGTSV)
+#define LAPACK_zgtsv LAPACK_GLOBAL(zgtsv,ZGTSV)
+#define LAPACK_sgtsvx LAPACK_GLOBAL(sgtsvx,SGTSVX)
+#define LAPACK_dgtsvx LAPACK_GLOBAL(dgtsvx,DGTSVX)
+#define LAPACK_cgtsvx LAPACK_GLOBAL(cgtsvx,CGTSVX)
+#define LAPACK_zgtsvx LAPACK_GLOBAL(zgtsvx,ZGTSVX)
+#define LAPACK_sposv LAPACK_GLOBAL(sposv,SPOSV)
+#define LAPACK_dposv LAPACK_GLOBAL(dposv,DPOSV)
+#define LAPACK_cposv LAPACK_GLOBAL(cposv,CPOSV)
+#define LAPACK_zposv LAPACK_GLOBAL(zposv,ZPOSV)
+#define LAPACK_dsposv LAPACK_GLOBAL(dsposv,DSPOSV)
+#define LAPACK_zcposv LAPACK_GLOBAL(zcposv,ZCPOSV)
+#define LAPACK_sposvx LAPACK_GLOBAL(sposvx,SPOSVX)
+#define LAPACK_dposvx LAPACK_GLOBAL(dposvx,DPOSVX)
+#define LAPACK_cposvx LAPACK_GLOBAL(cposvx,CPOSVX)
+#define LAPACK_zposvx LAPACK_GLOBAL(zposvx,ZPOSVX)
+#define LAPACK_dposvxx LAPACK_GLOBAL(dposvxx,DPOSVXX)
+#define LAPACK_sposvxx LAPACK_GLOBAL(sposvxx,SPOSVXX)
+#define LAPACK_zposvxx LAPACK_GLOBAL(zposvxx,ZPOSVXX)
+#define LAPACK_cposvxx LAPACK_GLOBAL(cposvxx,CPOSVXX)
+#define LAPACK_sppsv LAPACK_GLOBAL(sppsv,SPPSV)
+#define LAPACK_dppsv LAPACK_GLOBAL(dppsv,DPPSV)
+#define LAPACK_cppsv LAPACK_GLOBAL(cppsv,CPPSV)
+#define LAPACK_zppsv LAPACK_GLOBAL(zppsv,ZPPSV)
+#define LAPACK_sppsvx LAPACK_GLOBAL(sppsvx,SPPSVX)
+#define LAPACK_dppsvx LAPACK_GLOBAL(dppsvx,DPPSVX)
+#define LAPACK_cppsvx LAPACK_GLOBAL(cppsvx,CPPSVX)
+#define LAPACK_zppsvx LAPACK_GLOBAL(zppsvx,ZPPSVX)
+#define LAPACK_spbsv LAPACK_GLOBAL(spbsv,SPBSV)
+#define LAPACK_dpbsv LAPACK_GLOBAL(dpbsv,DPBSV)
+#define LAPACK_cpbsv LAPACK_GLOBAL(cpbsv,CPBSV)
+#define LAPACK_zpbsv LAPACK_GLOBAL(zpbsv,ZPBSV)
+#define LAPACK_spbsvx LAPACK_GLOBAL(spbsvx,SPBSVX)
+#define LAPACK_dpbsvx LAPACK_GLOBAL(dpbsvx,DPBSVX)
+#define LAPACK_cpbsvx LAPACK_GLOBAL(cpbsvx,CPBSVX)
+#define LAPACK_zpbsvx LAPACK_GLOBAL(zpbsvx,ZPBSVX)
+#define LAPACK_sptsv LAPACK_GLOBAL(sptsv,SPTSV)
+#define LAPACK_dptsv LAPACK_GLOBAL(dptsv,DPTSV)
+#define LAPACK_cptsv LAPACK_GLOBAL(cptsv,CPTSV)
+#define LAPACK_zptsv LAPACK_GLOBAL(zptsv,ZPTSV)
+#define LAPACK_sptsvx LAPACK_GLOBAL(sptsvx,SPTSVX)
+#define LAPACK_dptsvx LAPACK_GLOBAL(dptsvx,DPTSVX)
+#define LAPACK_cptsvx LAPACK_GLOBAL(cptsvx,CPTSVX)
+#define LAPACK_zptsvx LAPACK_GLOBAL(zptsvx,ZPTSVX)
+#define LAPACK_ssysv LAPACK_GLOBAL(ssysv,SSYSV)
+#define LAPACK_dsysv LAPACK_GLOBAL(dsysv,DSYSV)
+#define LAPACK_csysv LAPACK_GLOBAL(csysv,CSYSV)
+#define LAPACK_zsysv LAPACK_GLOBAL(zsysv,ZSYSV)
+#define LAPACK_ssysvx LAPACK_GLOBAL(ssysvx,SSYSVX)
+#define LAPACK_dsysvx LAPACK_GLOBAL(dsysvx,DSYSVX)
+#define LAPACK_csysvx LAPACK_GLOBAL(csysvx,CSYSVX)
+#define LAPACK_zsysvx LAPACK_GLOBAL(zsysvx,ZSYSVX)
+#define LAPACK_dsysvxx LAPACK_GLOBAL(dsysvxx,DSYSVXX)
+#define LAPACK_ssysvxx LAPACK_GLOBAL(ssysvxx,SSYSVXX)
+#define LAPACK_zsysvxx LAPACK_GLOBAL(zsysvxx,ZSYSVXX)
+#define LAPACK_csysvxx LAPACK_GLOBAL(csysvxx,CSYSVXX)
+#define LAPACK_chesv LAPACK_GLOBAL(chesv,CHESV)
+#define LAPACK_zhesv LAPACK_GLOBAL(zhesv,ZHESV)
+#define LAPACK_chesvx LAPACK_GLOBAL(chesvx,CHESVX)
+#define LAPACK_zhesvx LAPACK_GLOBAL(zhesvx,ZHESVX)
+#define LAPACK_zhesvxx LAPACK_GLOBAL(zhesvxx,ZHESVXX)
+#define LAPACK_chesvxx LAPACK_GLOBAL(chesvxx,CHESVXX)
+#define LAPACK_sspsv LAPACK_GLOBAL(sspsv,SSPSV)
+#define LAPACK_dspsv LAPACK_GLOBAL(dspsv,DSPSV)
+#define LAPACK_cspsv LAPACK_GLOBAL(cspsv,CSPSV)
+#define LAPACK_zspsv LAPACK_GLOBAL(zspsv,ZSPSV)
+#define LAPACK_sspsvx LAPACK_GLOBAL(sspsvx,SSPSVX)
+#define LAPACK_dspsvx LAPACK_GLOBAL(dspsvx,DSPSVX)
+#define LAPACK_cspsvx LAPACK_GLOBAL(cspsvx,CSPSVX)
+#define LAPACK_zspsvx LAPACK_GLOBAL(zspsvx,ZSPSVX)
+#define LAPACK_chpsv LAPACK_GLOBAL(chpsv,CHPSV)
+#define LAPACK_zhpsv LAPACK_GLOBAL(zhpsv,ZHPSV)
+#define LAPACK_chpsvx LAPACK_GLOBAL(chpsvx,CHPSVX)
+#define LAPACK_zhpsvx LAPACK_GLOBAL(zhpsvx,ZHPSVX)
+#define LAPACK_sgeqrf LAPACK_GLOBAL(sgeqrf,SGEQRF)
+#define LAPACK_dgeqrf LAPACK_GLOBAL(dgeqrf,DGEQRF)
+#define LAPACK_cgeqrf LAPACK_GLOBAL(cgeqrf,CGEQRF)
+#define LAPACK_zgeqrf LAPACK_GLOBAL(zgeqrf,ZGEQRF)
+#define LAPACK_sgeqpf LAPACK_GLOBAL(sgeqpf,SGEQPF)
+#define LAPACK_dgeqpf LAPACK_GLOBAL(dgeqpf,DGEQPF)
+#define LAPACK_cgeqpf LAPACK_GLOBAL(cgeqpf,CGEQPF)
+#define LAPACK_zgeqpf LAPACK_GLOBAL(zgeqpf,ZGEQPF)
+#define LAPACK_sgeqp3 LAPACK_GLOBAL(sgeqp3,SGEQP3)
+#define LAPACK_dgeqp3 LAPACK_GLOBAL(dgeqp3,DGEQP3)
+#define LAPACK_cgeqp3 LAPACK_GLOBAL(cgeqp3,CGEQP3)
+#define LAPACK_zgeqp3 LAPACK_GLOBAL(zgeqp3,ZGEQP3)
+#define LAPACK_sorgqr LAPACK_GLOBAL(sorgqr,SORGQR)
+#define LAPACK_dorgqr LAPACK_GLOBAL(dorgqr,DORGQR)
+#define LAPACK_sormqr LAPACK_GLOBAL(sormqr,SORMQR)
+#define LAPACK_dormqr LAPACK_GLOBAL(dormqr,DORMQR)
+#define LAPACK_cungqr LAPACK_GLOBAL(cungqr,CUNGQR)
+#define LAPACK_zungqr LAPACK_GLOBAL(zungqr,ZUNGQR)
+#define LAPACK_cunmqr LAPACK_GLOBAL(cunmqr,CUNMQR)
+#define LAPACK_zunmqr LAPACK_GLOBAL(zunmqr,ZUNMQR)
+#define LAPACK_sgelqf LAPACK_GLOBAL(sgelqf,SGELQF)
+#define LAPACK_dgelqf LAPACK_GLOBAL(dgelqf,DGELQF)
+#define LAPACK_cgelqf LAPACK_GLOBAL(cgelqf,CGELQF)
+#define LAPACK_zgelqf LAPACK_GLOBAL(zgelqf,ZGELQF)
+#define LAPACK_sorglq LAPACK_GLOBAL(sorglq,SORGLQ)
+#define LAPACK_dorglq LAPACK_GLOBAL(dorglq,DORGLQ)
+#define LAPACK_sormlq LAPACK_GLOBAL(sormlq,SORMLQ)
+#define LAPACK_dormlq LAPACK_GLOBAL(dormlq,DORMLQ)
+#define LAPACK_cunglq LAPACK_GLOBAL(cunglq,CUNGLQ)
+#define LAPACK_zunglq LAPACK_GLOBAL(zunglq,ZUNGLQ)
+#define LAPACK_cunmlq LAPACK_GLOBAL(cunmlq,CUNMLQ)
+#define LAPACK_zunmlq LAPACK_GLOBAL(zunmlq,ZUNMLQ)
+#define LAPACK_sgeqlf LAPACK_GLOBAL(sgeqlf,SGEQLF)
+#define LAPACK_dgeqlf LAPACK_GLOBAL(dgeqlf,DGEQLF)
+#define LAPACK_cgeqlf LAPACK_GLOBAL(cgeqlf,CGEQLF)
+#define LAPACK_zgeqlf LAPACK_GLOBAL(zgeqlf,ZGEQLF)
+#define LAPACK_sorgql LAPACK_GLOBAL(sorgql,SORGQL)
+#define LAPACK_dorgql LAPACK_GLOBAL(dorgql,DORGQL)
+#define LAPACK_cungql LAPACK_GLOBAL(cungql,CUNGQL)
+#define LAPACK_zungql LAPACK_GLOBAL(zungql,ZUNGQL)
+#define LAPACK_sormql LAPACK_GLOBAL(sormql,SORMQL)
+#define LAPACK_dormql LAPACK_GLOBAL(dormql,DORMQL)
+#define LAPACK_cunmql LAPACK_GLOBAL(cunmql,CUNMQL)
+#define LAPACK_zunmql LAPACK_GLOBAL(zunmql,ZUNMQL)
+#define LAPACK_sgerqf LAPACK_GLOBAL(sgerqf,SGERQF)
+#define LAPACK_dgerqf LAPACK_GLOBAL(dgerqf,DGERQF)
+#define LAPACK_cgerqf LAPACK_GLOBAL(cgerqf,CGERQF)
+#define LAPACK_zgerqf LAPACK_GLOBAL(zgerqf,ZGERQF)
+#define LAPACK_sorgrq LAPACK_GLOBAL(sorgrq,SORGRQ)
+#define LAPACK_dorgrq LAPACK_GLOBAL(dorgrq,DORGRQ)
+#define LAPACK_cungrq LAPACK_GLOBAL(cungrq,CUNGRQ)
+#define LAPACK_zungrq LAPACK_GLOBAL(zungrq,ZUNGRQ)
+#define LAPACK_sormrq LAPACK_GLOBAL(sormrq,SORMRQ)
+#define LAPACK_dormrq LAPACK_GLOBAL(dormrq,DORMRQ)
+#define LAPACK_cunmrq LAPACK_GLOBAL(cunmrq,CUNMRQ)
+#define LAPACK_zunmrq LAPACK_GLOBAL(zunmrq,ZUNMRQ)
+#define LAPACK_stzrzf LAPACK_GLOBAL(stzrzf,STZRZF)
+#define LAPACK_dtzrzf LAPACK_GLOBAL(dtzrzf,DTZRZF)
+#define LAPACK_ctzrzf LAPACK_GLOBAL(ctzrzf,CTZRZF)
+#define LAPACK_ztzrzf LAPACK_GLOBAL(ztzrzf,ZTZRZF)
+#define LAPACK_sormrz LAPACK_GLOBAL(sormrz,SORMRZ)
+#define LAPACK_dormrz LAPACK_GLOBAL(dormrz,DORMRZ)
+#define LAPACK_cunmrz LAPACK_GLOBAL(cunmrz,CUNMRZ)
+#define LAPACK_zunmrz LAPACK_GLOBAL(zunmrz,ZUNMRZ)
+#define LAPACK_sggqrf LAPACK_GLOBAL(sggqrf,SGGQRF)
+#define LAPACK_dggqrf LAPACK_GLOBAL(dggqrf,DGGQRF)
+#define LAPACK_cggqrf LAPACK_GLOBAL(cggqrf,CGGQRF)
+#define LAPACK_zggqrf LAPACK_GLOBAL(zggqrf,ZGGQRF)
+#define LAPACK_sggrqf LAPACK_GLOBAL(sggrqf,SGGRQF)
+#define LAPACK_dggrqf LAPACK_GLOBAL(dggrqf,DGGRQF)
+#define LAPACK_cggrqf LAPACK_GLOBAL(cggrqf,CGGRQF)
+#define LAPACK_zggrqf LAPACK_GLOBAL(zggrqf,ZGGRQF)
+#define LAPACK_sgebrd LAPACK_GLOBAL(sgebrd,SGEBRD)
+#define LAPACK_dgebrd LAPACK_GLOBAL(dgebrd,DGEBRD)
+#define LAPACK_cgebrd LAPACK_GLOBAL(cgebrd,CGEBRD)
+#define LAPACK_zgebrd LAPACK_GLOBAL(zgebrd,ZGEBRD)
+#define LAPACK_sgbbrd LAPACK_GLOBAL(sgbbrd,SGBBRD)
+#define LAPACK_dgbbrd LAPACK_GLOBAL(dgbbrd,DGBBRD)
+#define LAPACK_cgbbrd LAPACK_GLOBAL(cgbbrd,CGBBRD)
+#define LAPACK_zgbbrd LAPACK_GLOBAL(zgbbrd,ZGBBRD)
+#define LAPACK_sorgbr LAPACK_GLOBAL(sorgbr,SORGBR)
+#define LAPACK_dorgbr LAPACK_GLOBAL(dorgbr,DORGBR)
+#define LAPACK_sormbr LAPACK_GLOBAL(sormbr,SORMBR)
+#define LAPACK_dormbr LAPACK_GLOBAL(dormbr,DORMBR)
+#define LAPACK_cungbr LAPACK_GLOBAL(cungbr,CUNGBR)
+#define LAPACK_zungbr LAPACK_GLOBAL(zungbr,ZUNGBR)
+#define LAPACK_cunmbr LAPACK_GLOBAL(cunmbr,CUNMBR)
+#define LAPACK_zunmbr LAPACK_GLOBAL(zunmbr,ZUNMBR)
+#define LAPACK_sbdsqr LAPACK_GLOBAL(sbdsqr,SBDSQR)
+#define LAPACK_dbdsqr LAPACK_GLOBAL(dbdsqr,DBDSQR)
+#define LAPACK_cbdsqr LAPACK_GLOBAL(cbdsqr,CBDSQR)
+#define LAPACK_zbdsqr LAPACK_GLOBAL(zbdsqr,ZBDSQR)
+#define LAPACK_sbdsdc LAPACK_GLOBAL(sbdsdc,SBDSDC)
+#define LAPACK_dbdsdc LAPACK_GLOBAL(dbdsdc,DBDSDC)
+#define LAPACK_ssytrd LAPACK_GLOBAL(ssytrd,SSYTRD)
+#define LAPACK_dsytrd LAPACK_GLOBAL(dsytrd,DSYTRD)
+#define LAPACK_sorgtr LAPACK_GLOBAL(sorgtr,SORGTR)
+#define LAPACK_dorgtr LAPACK_GLOBAL(dorgtr,DORGTR)
+#define LAPACK_sormtr LAPACK_GLOBAL(sormtr,SORMTR)
+#define LAPACK_dormtr LAPACK_GLOBAL(dormtr,DORMTR)
+#define LAPACK_chetrd LAPACK_GLOBAL(chetrd,CHETRD)
+#define LAPACK_zhetrd LAPACK_GLOBAL(zhetrd,ZHETRD)
+#define LAPACK_cungtr LAPACK_GLOBAL(cungtr,CUNGTR)
+#define LAPACK_zungtr LAPACK_GLOBAL(zungtr,ZUNGTR)
+#define LAPACK_cunmtr LAPACK_GLOBAL(cunmtr,CUNMTR)
+#define LAPACK_zunmtr LAPACK_GLOBAL(zunmtr,ZUNMTR)
+#define LAPACK_ssptrd LAPACK_GLOBAL(ssptrd,SSPTRD)
+#define LAPACK_dsptrd LAPACK_GLOBAL(dsptrd,DSPTRD)
+#define LAPACK_sopgtr LAPACK_GLOBAL(sopgtr,SOPGTR)
+#define LAPACK_dopgtr LAPACK_GLOBAL(dopgtr,DOPGTR)
+#define LAPACK_sopmtr LAPACK_GLOBAL(sopmtr,SOPMTR)
+#define LAPACK_dopmtr LAPACK_GLOBAL(dopmtr,DOPMTR)
+#define LAPACK_chptrd LAPACK_GLOBAL(chptrd,CHPTRD)
+#define LAPACK_zhptrd LAPACK_GLOBAL(zhptrd,ZHPTRD)
+#define LAPACK_cupgtr LAPACK_GLOBAL(cupgtr,CUPGTR)
+#define LAPACK_zupgtr LAPACK_GLOBAL(zupgtr,ZUPGTR)
+#define LAPACK_cupmtr LAPACK_GLOBAL(cupmtr,CUPMTR)
+#define LAPACK_zupmtr LAPACK_GLOBAL(zupmtr,ZUPMTR)
+#define LAPACK_ssbtrd LAPACK_GLOBAL(ssbtrd,SSBTRD)
+#define LAPACK_dsbtrd LAPACK_GLOBAL(dsbtrd,DSBTRD)
+#define LAPACK_chbtrd LAPACK_GLOBAL(chbtrd,CHBTRD)
+#define LAPACK_zhbtrd LAPACK_GLOBAL(zhbtrd,ZHBTRD)
+#define LAPACK_ssterf LAPACK_GLOBAL(ssterf,SSTERF)
+#define LAPACK_dsterf LAPACK_GLOBAL(dsterf,DSTERF)
+#define LAPACK_ssteqr LAPACK_GLOBAL(ssteqr,SSTEQR)
+#define LAPACK_dsteqr LAPACK_GLOBAL(dsteqr,DSTEQR)
+#define LAPACK_csteqr LAPACK_GLOBAL(csteqr,CSTEQR)
+#define LAPACK_zsteqr LAPACK_GLOBAL(zsteqr,ZSTEQR)
+#define LAPACK_sstemr LAPACK_GLOBAL(sstemr,SSTEMR)
+#define LAPACK_dstemr LAPACK_GLOBAL(dstemr,DSTEMR)
+#define LAPACK_cstemr LAPACK_GLOBAL(cstemr,CSTEMR)
+#define LAPACK_zstemr LAPACK_GLOBAL(zstemr,ZSTEMR)
+#define LAPACK_sstedc LAPACK_GLOBAL(sstedc,SSTEDC)
+#define LAPACK_dstedc LAPACK_GLOBAL(dstedc,DSTEDC)
+#define LAPACK_cstedc LAPACK_GLOBAL(cstedc,CSTEDC)
+#define LAPACK_zstedc LAPACK_GLOBAL(zstedc,ZSTEDC)
+#define LAPACK_sstegr LAPACK_GLOBAL(sstegr,SSTEGR)
+#define LAPACK_dstegr LAPACK_GLOBAL(dstegr,DSTEGR)
+#define LAPACK_cstegr LAPACK_GLOBAL(cstegr,CSTEGR)
+#define LAPACK_zstegr LAPACK_GLOBAL(zstegr,ZSTEGR)
+#define LAPACK_spteqr LAPACK_GLOBAL(spteqr,SPTEQR)
+#define LAPACK_dpteqr LAPACK_GLOBAL(dpteqr,DPTEQR)
+#define LAPACK_cpteqr LAPACK_GLOBAL(cpteqr,CPTEQR)
+#define LAPACK_zpteqr LAPACK_GLOBAL(zpteqr,ZPTEQR)
+#define LAPACK_sstebz LAPACK_GLOBAL(sstebz,SSTEBZ)
+#define LAPACK_dstebz LAPACK_GLOBAL(dstebz,DSTEBZ)
+#define LAPACK_sstein LAPACK_GLOBAL(sstein,SSTEIN)
+#define LAPACK_dstein LAPACK_GLOBAL(dstein,DSTEIN)
+#define LAPACK_cstein LAPACK_GLOBAL(cstein,CSTEIN)
+#define LAPACK_zstein LAPACK_GLOBAL(zstein,ZSTEIN)
+#define LAPACK_sdisna LAPACK_GLOBAL(sdisna,SDISNA)
+#define LAPACK_ddisna LAPACK_GLOBAL(ddisna,DDISNA)
+#define LAPACK_ssygst LAPACK_GLOBAL(ssygst,SSYGST)
+#define LAPACK_dsygst LAPACK_GLOBAL(dsygst,DSYGST)
+#define LAPACK_chegst LAPACK_GLOBAL(chegst,CHEGST)
+#define LAPACK_zhegst LAPACK_GLOBAL(zhegst,ZHEGST)
+#define LAPACK_sspgst LAPACK_GLOBAL(sspgst,SSPGST)
+#define LAPACK_dspgst LAPACK_GLOBAL(dspgst,DSPGST)
+#define LAPACK_chpgst LAPACK_GLOBAL(chpgst,CHPGST)
+#define LAPACK_zhpgst LAPACK_GLOBAL(zhpgst,ZHPGST)
+#define LAPACK_ssbgst LAPACK_GLOBAL(ssbgst,SSBGST)
+#define LAPACK_dsbgst LAPACK_GLOBAL(dsbgst,DSBGST)
+#define LAPACK_chbgst LAPACK_GLOBAL(chbgst,CHBGST)
+#define LAPACK_zhbgst LAPACK_GLOBAL(zhbgst,ZHBGST)
+#define LAPACK_spbstf LAPACK_GLOBAL(spbstf,SPBSTF)
+#define LAPACK_dpbstf LAPACK_GLOBAL(dpbstf,DPBSTF)
+#define LAPACK_cpbstf LAPACK_GLOBAL(cpbstf,CPBSTF)
+#define LAPACK_zpbstf LAPACK_GLOBAL(zpbstf,ZPBSTF)
+#define LAPACK_sgehrd LAPACK_GLOBAL(sgehrd,SGEHRD)
+#define LAPACK_dgehrd LAPACK_GLOBAL(dgehrd,DGEHRD)
+#define LAPACK_cgehrd LAPACK_GLOBAL(cgehrd,CGEHRD)
+#define LAPACK_zgehrd LAPACK_GLOBAL(zgehrd,ZGEHRD)
+#define LAPACK_sorghr LAPACK_GLOBAL(sorghr,SORGHR)
+#define LAPACK_dorghr LAPACK_GLOBAL(dorghr,DORGHR)
+#define LAPACK_sormhr LAPACK_GLOBAL(sormhr,SORMHR)
+#define LAPACK_dormhr LAPACK_GLOBAL(dormhr,DORMHR)
+#define LAPACK_cunghr LAPACK_GLOBAL(cunghr,CUNGHR)
+#define LAPACK_zunghr LAPACK_GLOBAL(zunghr,ZUNGHR)
+#define LAPACK_cunmhr LAPACK_GLOBAL(cunmhr,CUNMHR)
+#define LAPACK_zunmhr LAPACK_GLOBAL(zunmhr,ZUNMHR)
+#define LAPACK_sgebal LAPACK_GLOBAL(sgebal,SGEBAL)
+#define LAPACK_dgebal LAPACK_GLOBAL(dgebal,DGEBAL)
+#define LAPACK_cgebal LAPACK_GLOBAL(cgebal,CGEBAL)
+#define LAPACK_zgebal LAPACK_GLOBAL(zgebal,ZGEBAL)
+#define LAPACK_sgebak LAPACK_GLOBAL(sgebak,SGEBAK)
+#define LAPACK_dgebak LAPACK_GLOBAL(dgebak,DGEBAK)
+#define LAPACK_cgebak LAPACK_GLOBAL(cgebak,CGEBAK)
+#define LAPACK_zgebak LAPACK_GLOBAL(zgebak,ZGEBAK)
+#define LAPACK_shseqr LAPACK_GLOBAL(shseqr,SHSEQR)
+#define LAPACK_dhseqr LAPACK_GLOBAL(dhseqr,DHSEQR)
+#define LAPACK_chseqr LAPACK_GLOBAL(chseqr,CHSEQR)
+#define LAPACK_zhseqr LAPACK_GLOBAL(zhseqr,ZHSEQR)
+#define LAPACK_shsein LAPACK_GLOBAL(shsein,SHSEIN)
+#define LAPACK_dhsein LAPACK_GLOBAL(dhsein,DHSEIN)
+#define LAPACK_chsein LAPACK_GLOBAL(chsein,CHSEIN)
+#define LAPACK_zhsein LAPACK_GLOBAL(zhsein,ZHSEIN)
+#define LAPACK_strevc LAPACK_GLOBAL(strevc,STREVC)
+#define LAPACK_dtrevc LAPACK_GLOBAL(dtrevc,DTREVC)
+#define LAPACK_ctrevc LAPACK_GLOBAL(ctrevc,CTREVC)
+#define LAPACK_ztrevc LAPACK_GLOBAL(ztrevc,ZTREVC)
+#define LAPACK_strsna LAPACK_GLOBAL(strsna,STRSNA)
+#define LAPACK_dtrsna LAPACK_GLOBAL(dtrsna,DTRSNA)
+#define LAPACK_ctrsna LAPACK_GLOBAL(ctrsna,CTRSNA)
+#define LAPACK_ztrsna LAPACK_GLOBAL(ztrsna,ZTRSNA)
+#define LAPACK_strexc LAPACK_GLOBAL(strexc,STREXC)
+#define LAPACK_dtrexc LAPACK_GLOBAL(dtrexc,DTREXC)
+#define LAPACK_ctrexc LAPACK_GLOBAL(ctrexc,CTREXC)
+#define LAPACK_ztrexc LAPACK_GLOBAL(ztrexc,ZTREXC)
+#define LAPACK_strsen LAPACK_GLOBAL(strsen,STRSEN)
+#define LAPACK_dtrsen LAPACK_GLOBAL(dtrsen,DTRSEN)
+#define LAPACK_ctrsen LAPACK_GLOBAL(ctrsen,CTRSEN)
+#define LAPACK_ztrsen LAPACK_GLOBAL(ztrsen,ZTRSEN)
+#define LAPACK_strsyl LAPACK_GLOBAL(strsyl,STRSYL)
+#define LAPACK_dtrsyl LAPACK_GLOBAL(dtrsyl,DTRSYL)
+#define LAPACK_ctrsyl LAPACK_GLOBAL(ctrsyl,CTRSYL)
+#define LAPACK_ztrsyl LAPACK_GLOBAL(ztrsyl,ZTRSYL)
+#define LAPACK_sgghrd LAPACK_GLOBAL(sgghrd,SGGHRD)
+#define LAPACK_dgghrd LAPACK_GLOBAL(dgghrd,DGGHRD)
+#define LAPACK_cgghrd LAPACK_GLOBAL(cgghrd,CGGHRD)
+#define LAPACK_zgghrd LAPACK_GLOBAL(zgghrd,ZGGHRD)
+#define LAPACK_sggbal LAPACK_GLOBAL(sggbal,SGGBAL)
+#define LAPACK_dggbal LAPACK_GLOBAL(dggbal,DGGBAL)
+#define LAPACK_cggbal LAPACK_GLOBAL(cggbal,CGGBAL)
+#define LAPACK_zggbal LAPACK_GLOBAL(zggbal,ZGGBAL)
+#define LAPACK_sggbak LAPACK_GLOBAL(sggbak,SGGBAK)
+#define LAPACK_dggbak LAPACK_GLOBAL(dggbak,DGGBAK)
+#define LAPACK_cggbak LAPACK_GLOBAL(cggbak,CGGBAK)
+#define LAPACK_zggbak LAPACK_GLOBAL(zggbak,ZGGBAK)
+#define LAPACK_shgeqz LAPACK_GLOBAL(shgeqz,SHGEQZ)
+#define LAPACK_dhgeqz LAPACK_GLOBAL(dhgeqz,DHGEQZ)
+#define LAPACK_chgeqz LAPACK_GLOBAL(chgeqz,CHGEQZ)
+#define LAPACK_zhgeqz LAPACK_GLOBAL(zhgeqz,ZHGEQZ)
+#define LAPACK_stgevc LAPACK_GLOBAL(stgevc,STGEVC)
+#define LAPACK_dtgevc LAPACK_GLOBAL(dtgevc,DTGEVC)
+#define LAPACK_ctgevc LAPACK_GLOBAL(ctgevc,CTGEVC)
+#define LAPACK_ztgevc LAPACK_GLOBAL(ztgevc,ZTGEVC)
+#define LAPACK_stgexc LAPACK_GLOBAL(stgexc,STGEXC)
+#define LAPACK_dtgexc LAPACK_GLOBAL(dtgexc,DTGEXC)
+#define LAPACK_ctgexc LAPACK_GLOBAL(ctgexc,CTGEXC)
+#define LAPACK_ztgexc LAPACK_GLOBAL(ztgexc,ZTGEXC)
+#define LAPACK_stgsen LAPACK_GLOBAL(stgsen,STGSEN)
+#define LAPACK_dtgsen LAPACK_GLOBAL(dtgsen,DTGSEN)
+#define LAPACK_ctgsen LAPACK_GLOBAL(ctgsen,CTGSEN)
+#define LAPACK_ztgsen LAPACK_GLOBAL(ztgsen,ZTGSEN)
+#define LAPACK_stgsyl LAPACK_GLOBAL(stgsyl,STGSYL)
+#define LAPACK_dtgsyl LAPACK_GLOBAL(dtgsyl,DTGSYL)
+#define LAPACK_ctgsyl LAPACK_GLOBAL(ctgsyl,CTGSYL)
+#define LAPACK_ztgsyl LAPACK_GLOBAL(ztgsyl,ZTGSYL)
+#define LAPACK_stgsna LAPACK_GLOBAL(stgsna,STGSNA)
+#define LAPACK_dtgsna LAPACK_GLOBAL(dtgsna,DTGSNA)
+#define LAPACK_ctgsna LAPACK_GLOBAL(ctgsna,CTGSNA)
+#define LAPACK_ztgsna LAPACK_GLOBAL(ztgsna,ZTGSNA)
+#define LAPACK_sggsvp LAPACK_GLOBAL(sggsvp,SGGSVP)
+#define LAPACK_dggsvp LAPACK_GLOBAL(dggsvp,DGGSVP)
+#define LAPACK_cggsvp LAPACK_GLOBAL(cggsvp,CGGSVP)
+#define LAPACK_zggsvp LAPACK_GLOBAL(zggsvp,ZGGSVP)
+#define LAPACK_stgsja LAPACK_GLOBAL(stgsja,STGSJA)
+#define LAPACK_dtgsja LAPACK_GLOBAL(dtgsja,DTGSJA)
+#define LAPACK_ctgsja LAPACK_GLOBAL(ctgsja,CTGSJA)
+#define LAPACK_ztgsja LAPACK_GLOBAL(ztgsja,ZTGSJA)
+#define LAPACK_sgels LAPACK_GLOBAL(sgels,SGELS)
+#define LAPACK_dgels LAPACK_GLOBAL(dgels,DGELS)
+#define LAPACK_cgels LAPACK_GLOBAL(cgels,CGELS)
+#define LAPACK_zgels LAPACK_GLOBAL(zgels,ZGELS)
+#define LAPACK_sgelsy LAPACK_GLOBAL(sgelsy,SGELSY)
+#define LAPACK_dgelsy LAPACK_GLOBAL(dgelsy,DGELSY)
+#define LAPACK_cgelsy LAPACK_GLOBAL(cgelsy,CGELSY)
+#define LAPACK_zgelsy LAPACK_GLOBAL(zgelsy,ZGELSY)
+#define LAPACK_sgelss LAPACK_GLOBAL(sgelss,SGELSS)
+#define LAPACK_dgelss LAPACK_GLOBAL(dgelss,DGELSS)
+#define LAPACK_cgelss LAPACK_GLOBAL(cgelss,CGELSS)
+#define LAPACK_zgelss LAPACK_GLOBAL(zgelss,ZGELSS)
+#define LAPACK_sgelsd LAPACK_GLOBAL(sgelsd,SGELSD)
+#define LAPACK_dgelsd LAPACK_GLOBAL(dgelsd,DGELSD)
+#define LAPACK_cgelsd LAPACK_GLOBAL(cgelsd,CGELSD)
+#define LAPACK_zgelsd LAPACK_GLOBAL(zgelsd,ZGELSD)
+#define LAPACK_sgglse LAPACK_GLOBAL(sgglse,SGGLSE)
+#define LAPACK_dgglse LAPACK_GLOBAL(dgglse,DGGLSE)
+#define LAPACK_cgglse LAPACK_GLOBAL(cgglse,CGGLSE)
+#define LAPACK_zgglse LAPACK_GLOBAL(zgglse,ZGGLSE)
+#define LAPACK_sggglm LAPACK_GLOBAL(sggglm,SGGGLM)
+#define LAPACK_dggglm LAPACK_GLOBAL(dggglm,DGGGLM)
+#define LAPACK_cggglm LAPACK_GLOBAL(cggglm,CGGGLM)
+#define LAPACK_zggglm LAPACK_GLOBAL(zggglm,ZGGGLM)
+#define LAPACK_ssyev LAPACK_GLOBAL(ssyev,SSYEV)
+#define LAPACK_dsyev LAPACK_GLOBAL(dsyev,DSYEV)
+#define LAPACK_cheev LAPACK_GLOBAL(cheev,CHEEV)
+#define LAPACK_zheev LAPACK_GLOBAL(zheev,ZHEEV)
+#define LAPACK_ssyevd LAPACK_GLOBAL(ssyevd,SSYEVD)
+#define LAPACK_dsyevd LAPACK_GLOBAL(dsyevd,DSYEVD)
+#define LAPACK_cheevd LAPACK_GLOBAL(cheevd,CHEEVD)
+#define LAPACK_zheevd LAPACK_GLOBAL(zheevd,ZHEEVD)
+#define LAPACK_ssyevx LAPACK_GLOBAL(ssyevx,SSYEVX)
+#define LAPACK_dsyevx LAPACK_GLOBAL(dsyevx,DSYEVX)
+#define LAPACK_cheevx LAPACK_GLOBAL(cheevx,CHEEVX)
+#define LAPACK_zheevx LAPACK_GLOBAL(zheevx,ZHEEVX)
+#define LAPACK_ssyevr LAPACK_GLOBAL(ssyevr,SSYEVR)
+#define LAPACK_dsyevr LAPACK_GLOBAL(dsyevr,DSYEVR)
+#define LAPACK_cheevr LAPACK_GLOBAL(cheevr,CHEEVR)
+#define LAPACK_zheevr LAPACK_GLOBAL(zheevr,ZHEEVR)
+#define LAPACK_sspev LAPACK_GLOBAL(sspev,SSPEV)
+#define LAPACK_dspev LAPACK_GLOBAL(dspev,DSPEV)
+#define LAPACK_chpev LAPACK_GLOBAL(chpev,CHPEV)
+#define LAPACK_zhpev LAPACK_GLOBAL(zhpev,ZHPEV)
+#define LAPACK_sspevd LAPACK_GLOBAL(sspevd,SSPEVD)
+#define LAPACK_dspevd LAPACK_GLOBAL(dspevd,DSPEVD)
+#define LAPACK_chpevd LAPACK_GLOBAL(chpevd,CHPEVD)
+#define LAPACK_zhpevd LAPACK_GLOBAL(zhpevd,ZHPEVD)
+#define LAPACK_sspevx LAPACK_GLOBAL(sspevx,SSPEVX)
+#define LAPACK_dspevx LAPACK_GLOBAL(dspevx,DSPEVX)
+#define LAPACK_chpevx LAPACK_GLOBAL(chpevx,CHPEVX)
+#define LAPACK_zhpevx LAPACK_GLOBAL(zhpevx,ZHPEVX)
+#define LAPACK_ssbev LAPACK_GLOBAL(ssbev,SSBEV)
+#define LAPACK_dsbev LAPACK_GLOBAL(dsbev,DSBEV)
+#define LAPACK_chbev LAPACK_GLOBAL(chbev,CHBEV)
+#define LAPACK_zhbev LAPACK_GLOBAL(zhbev,ZHBEV)
+#define LAPACK_ssbevd LAPACK_GLOBAL(ssbevd,SSBEVD)
+#define LAPACK_dsbevd LAPACK_GLOBAL(dsbevd,DSBEVD)
+#define LAPACK_chbevd LAPACK_GLOBAL(chbevd,CHBEVD)
+#define LAPACK_zhbevd LAPACK_GLOBAL(zhbevd,ZHBEVD)
+#define LAPACK_ssbevx LAPACK_GLOBAL(ssbevx,SSBEVX)
+#define LAPACK_dsbevx LAPACK_GLOBAL(dsbevx,DSBEVX)
+#define LAPACK_chbevx LAPACK_GLOBAL(chbevx,CHBEVX)
+#define LAPACK_zhbevx LAPACK_GLOBAL(zhbevx,ZHBEVX)
+#define LAPACK_sstev LAPACK_GLOBAL(sstev,SSTEV)
+#define LAPACK_dstev LAPACK_GLOBAL(dstev,DSTEV)
+#define LAPACK_sstevd LAPACK_GLOBAL(sstevd,SSTEVD)
+#define LAPACK_dstevd LAPACK_GLOBAL(dstevd,DSTEVD)
+#define LAPACK_sstevx LAPACK_GLOBAL(sstevx,SSTEVX)
+#define LAPACK_dstevx LAPACK_GLOBAL(dstevx,DSTEVX)
+#define LAPACK_sstevr LAPACK_GLOBAL(sstevr,SSTEVR)
+#define LAPACK_dstevr LAPACK_GLOBAL(dstevr,DSTEVR)
+#define LAPACK_sgees LAPACK_GLOBAL(sgees,SGEES)
+#define LAPACK_dgees LAPACK_GLOBAL(dgees,DGEES)
+#define LAPACK_cgees LAPACK_GLOBAL(cgees,CGEES)
+#define LAPACK_zgees LAPACK_GLOBAL(zgees,ZGEES)
+#define LAPACK_sgeesx LAPACK_GLOBAL(sgeesx,SGEESX)
+#define LAPACK_dgeesx LAPACK_GLOBAL(dgeesx,DGEESX)
+#define LAPACK_cgeesx LAPACK_GLOBAL(cgeesx,CGEESX)
+#define LAPACK_zgeesx LAPACK_GLOBAL(zgeesx,ZGEESX)
+#define LAPACK_sgeev LAPACK_GLOBAL(sgeev,SGEEV)
+#define LAPACK_dgeev LAPACK_GLOBAL(dgeev,DGEEV)
+#define LAPACK_cgeev LAPACK_GLOBAL(cgeev,CGEEV)
+#define LAPACK_zgeev LAPACK_GLOBAL(zgeev,ZGEEV)
+#define LAPACK_sgeevx LAPACK_GLOBAL(sgeevx,SGEEVX)
+#define LAPACK_dgeevx LAPACK_GLOBAL(dgeevx,DGEEVX)
+#define LAPACK_cgeevx LAPACK_GLOBAL(cgeevx,CGEEVX)
+#define LAPACK_zgeevx LAPACK_GLOBAL(zgeevx,ZGEEVX)
+#define LAPACK_sgesvd LAPACK_GLOBAL(sgesvd,SGESVD)
+#define LAPACK_dgesvd LAPACK_GLOBAL(dgesvd,DGESVD)
+#define LAPACK_cgesvd LAPACK_GLOBAL(cgesvd,CGESVD)
+#define LAPACK_zgesvd LAPACK_GLOBAL(zgesvd,ZGESVD)
+#define LAPACK_sgesdd LAPACK_GLOBAL(sgesdd,SGESDD)
+#define LAPACK_dgesdd LAPACK_GLOBAL(dgesdd,DGESDD)
+#define LAPACK_cgesdd LAPACK_GLOBAL(cgesdd,CGESDD)
+#define LAPACK_zgesdd LAPACK_GLOBAL(zgesdd,ZGESDD)
+#define LAPACK_dgejsv LAPACK_GLOBAL(dgejsv,DGEJSV)
+#define LAPACK_sgejsv LAPACK_GLOBAL(sgejsv,SGEJSV)
+#define LAPACK_dgesvj LAPACK_GLOBAL(dgesvj,DGESVJ)
+#define LAPACK_sgesvj LAPACK_GLOBAL(sgesvj,SGESVJ)
+#define LAPACK_sggsvd LAPACK_GLOBAL(sggsvd,SGGSVD)
+#define LAPACK_dggsvd LAPACK_GLOBAL(dggsvd,DGGSVD)
+#define LAPACK_cggsvd LAPACK_GLOBAL(cggsvd,CGGSVD)
+#define LAPACK_zggsvd LAPACK_GLOBAL(zggsvd,ZGGSVD)
+#define LAPACK_ssygv LAPACK_GLOBAL(ssygv,SSYGV)
+#define LAPACK_dsygv LAPACK_GLOBAL(dsygv,DSYGV)
+#define LAPACK_chegv LAPACK_GLOBAL(chegv,CHEGV)
+#define LAPACK_zhegv LAPACK_GLOBAL(zhegv,ZHEGV)
+#define LAPACK_ssygvd LAPACK_GLOBAL(ssygvd,SSYGVD)
+#define LAPACK_dsygvd LAPACK_GLOBAL(dsygvd,DSYGVD)
+#define LAPACK_chegvd LAPACK_GLOBAL(chegvd,CHEGVD)
+#define LAPACK_zhegvd LAPACK_GLOBAL(zhegvd,ZHEGVD)
+#define LAPACK_ssygvx LAPACK_GLOBAL(ssygvx,SSYGVX)
+#define LAPACK_dsygvx LAPACK_GLOBAL(dsygvx,DSYGVX)
+#define LAPACK_chegvx LAPACK_GLOBAL(chegvx,CHEGVX)
+#define LAPACK_zhegvx LAPACK_GLOBAL(zhegvx,ZHEGVX)
+#define LAPACK_sspgv LAPACK_GLOBAL(sspgv,SSPGV)
+#define LAPACK_dspgv LAPACK_GLOBAL(dspgv,DSPGV)
+#define LAPACK_chpgv LAPACK_GLOBAL(chpgv,CHPGV)
+#define LAPACK_zhpgv LAPACK_GLOBAL(zhpgv,ZHPGV)
+#define LAPACK_sspgvd LAPACK_GLOBAL(sspgvd,SSPGVD)
+#define LAPACK_dspgvd LAPACK_GLOBAL(dspgvd,DSPGVD)
+#define LAPACK_chpgvd LAPACK_GLOBAL(chpgvd,CHPGVD)
+#define LAPACK_zhpgvd LAPACK_GLOBAL(zhpgvd,ZHPGVD)
+#define LAPACK_sspgvx LAPACK_GLOBAL(sspgvx,SSPGVX)
+#define LAPACK_dspgvx LAPACK_GLOBAL(dspgvx,DSPGVX)
+#define LAPACK_chpgvx LAPACK_GLOBAL(chpgvx,CHPGVX)
+#define LAPACK_zhpgvx LAPACK_GLOBAL(zhpgvx,ZHPGVX)
+#define LAPACK_ssbgv LAPACK_GLOBAL(ssbgv,SSBGV)
+#define LAPACK_dsbgv LAPACK_GLOBAL(dsbgv,DSBGV)
+#define LAPACK_chbgv LAPACK_GLOBAL(chbgv,CHBGV)
+#define LAPACK_zhbgv LAPACK_GLOBAL(zhbgv,ZHBGV)
+#define LAPACK_ssbgvd LAPACK_GLOBAL(ssbgvd,SSBGVD)
+#define LAPACK_dsbgvd LAPACK_GLOBAL(dsbgvd,DSBGVD)
+#define LAPACK_chbgvd LAPACK_GLOBAL(chbgvd,CHBGVD)
+#define LAPACK_zhbgvd LAPACK_GLOBAL(zhbgvd,ZHBGVD)
+#define LAPACK_ssbgvx LAPACK_GLOBAL(ssbgvx,SSBGVX)
+#define LAPACK_dsbgvx LAPACK_GLOBAL(dsbgvx,DSBGVX)
+#define LAPACK_chbgvx LAPACK_GLOBAL(chbgvx,CHBGVX)
+#define LAPACK_zhbgvx LAPACK_GLOBAL(zhbgvx,ZHBGVX)
+#define LAPACK_sgges LAPACK_GLOBAL(sgges,SGGES)
+#define LAPACK_dgges LAPACK_GLOBAL(dgges,DGGES)
+#define LAPACK_cgges LAPACK_GLOBAL(cgges,CGGES)
+#define LAPACK_zgges LAPACK_GLOBAL(zgges,ZGGES)
+#define LAPACK_sggesx LAPACK_GLOBAL(sggesx,SGGESX)
+#define LAPACK_dggesx LAPACK_GLOBAL(dggesx,DGGESX)
+#define LAPACK_cggesx LAPACK_GLOBAL(cggesx,CGGESX)
+#define LAPACK_zggesx LAPACK_GLOBAL(zggesx,ZGGESX)
+#define LAPACK_sggev LAPACK_GLOBAL(sggev,SGGEV)
+#define LAPACK_dggev LAPACK_GLOBAL(dggev,DGGEV)
+#define LAPACK_cggev LAPACK_GLOBAL(cggev,CGGEV)
+#define LAPACK_zggev LAPACK_GLOBAL(zggev,ZGGEV)
+#define LAPACK_sggevx LAPACK_GLOBAL(sggevx,SGGEVX)
+#define LAPACK_dggevx LAPACK_GLOBAL(dggevx,DGGEVX)
+#define LAPACK_cggevx LAPACK_GLOBAL(cggevx,CGGEVX)
+#define LAPACK_zggevx LAPACK_GLOBAL(zggevx,ZGGEVX)
+#define LAPACK_dsfrk LAPACK_GLOBAL(dsfrk,DSFRK)
+#define LAPACK_ssfrk LAPACK_GLOBAL(ssfrk,SSFRK)
+#define LAPACK_zhfrk LAPACK_GLOBAL(zhfrk,ZHFRK)
+#define LAPACK_chfrk LAPACK_GLOBAL(chfrk,CHFRK)
+#define LAPACK_dtfsm LAPACK_GLOBAL(dtfsm,DTFSM)
+#define LAPACK_stfsm LAPACK_GLOBAL(stfsm,STFSM)
+#define LAPACK_ztfsm LAPACK_GLOBAL(ztfsm,ZTFSM)
+#define LAPACK_ctfsm LAPACK_GLOBAL(ctfsm,CTFSM)
+#define LAPACK_dtfttp LAPACK_GLOBAL(dtfttp,DTFTTP)
+#define LAPACK_stfttp LAPACK_GLOBAL(stfttp,STFTTP)
+#define LAPACK_ztfttp LAPACK_GLOBAL(ztfttp,ZTFTTP)
+#define LAPACK_ctfttp LAPACK_GLOBAL(ctfttp,CTFTTP)
+#define LAPACK_dtfttr LAPACK_GLOBAL(dtfttr,DTFTTR)
+#define LAPACK_stfttr LAPACK_GLOBAL(stfttr,STFTTR)
+#define LAPACK_ztfttr LAPACK_GLOBAL(ztfttr,ZTFTTR)
+#define LAPACK_ctfttr LAPACK_GLOBAL(ctfttr,CTFTTR)
+#define LAPACK_dtpttf LAPACK_GLOBAL(dtpttf,DTPTTF)
+#define LAPACK_stpttf LAPACK_GLOBAL(stpttf,STPTTF)
+#define LAPACK_ztpttf LAPACK_GLOBAL(ztpttf,ZTPTTF)
+#define LAPACK_ctpttf LAPACK_GLOBAL(ctpttf,CTPTTF)
+#define LAPACK_dtpttr LAPACK_GLOBAL(dtpttr,DTPTTR)
+#define LAPACK_stpttr LAPACK_GLOBAL(stpttr,STPTTR)
+#define LAPACK_ztpttr LAPACK_GLOBAL(ztpttr,ZTPTTR)
+#define LAPACK_ctpttr LAPACK_GLOBAL(ctpttr,CTPTTR)
+#define LAPACK_dtrttf LAPACK_GLOBAL(dtrttf,DTRTTF)
+#define LAPACK_strttf LAPACK_GLOBAL(strttf,STRTTF)
+#define LAPACK_ztrttf LAPACK_GLOBAL(ztrttf,ZTRTTF)
+#define LAPACK_ctrttf LAPACK_GLOBAL(ctrttf,CTRTTF)
+#define LAPACK_dtrttp LAPACK_GLOBAL(dtrttp,DTRTTP)
+#define LAPACK_strttp LAPACK_GLOBAL(strttp,STRTTP)
+#define LAPACK_ztrttp LAPACK_GLOBAL(ztrttp,ZTRTTP)
+#define LAPACK_ctrttp LAPACK_GLOBAL(ctrttp,CTRTTP)
+#define LAPACK_sgeqrfp LAPACK_GLOBAL(sgeqrfp,SGEQRFP)
+#define LAPACK_dgeqrfp LAPACK_GLOBAL(dgeqrfp,DGEQRFP)
+#define LAPACK_cgeqrfp LAPACK_GLOBAL(cgeqrfp,CGEQRFP)
+#define LAPACK_zgeqrfp LAPACK_GLOBAL(zgeqrfp,ZGEQRFP)
+#define LAPACK_clacgv LAPACK_GLOBAL(clacgv,CLACGV)
+#define LAPACK_zlacgv LAPACK_GLOBAL(zlacgv,ZLACGV)
+#define LAPACK_slarnv LAPACK_GLOBAL(slarnv,SLARNV)
+#define LAPACK_dlarnv LAPACK_GLOBAL(dlarnv,DLARNV)
+#define LAPACK_clarnv LAPACK_GLOBAL(clarnv,CLARNV)
+#define LAPACK_zlarnv LAPACK_GLOBAL(zlarnv,ZLARNV)
+#define LAPACK_sgeqr2 LAPACK_GLOBAL(sgeqr2,SGEQR2)
+#define LAPACK_dgeqr2 LAPACK_GLOBAL(dgeqr2,DGEQR2)
+#define LAPACK_cgeqr2 LAPACK_GLOBAL(cgeqr2,CGEQR2)
+#define LAPACK_zgeqr2 LAPACK_GLOBAL(zgeqr2,ZGEQR2)
+#define LAPACK_slacpy LAPACK_GLOBAL(slacpy,SLACPY)
+#define LAPACK_dlacpy LAPACK_GLOBAL(dlacpy,DLACPY)
+#define LAPACK_clacpy LAPACK_GLOBAL(clacpy,CLACPY)
+#define LAPACK_zlacpy LAPACK_GLOBAL(zlacpy,ZLACPY)
+#define LAPACK_sgetf2 LAPACK_GLOBAL(sgetf2,SGETF2)
+#define LAPACK_dgetf2 LAPACK_GLOBAL(dgetf2,DGETF2)
+#define LAPACK_cgetf2 LAPACK_GLOBAL(cgetf2,CGETF2)
+#define LAPACK_zgetf2 LAPACK_GLOBAL(zgetf2,ZGETF2)
+#define LAPACK_slaswp LAPACK_GLOBAL(slaswp,SLASWP)
+#define LAPACK_dlaswp LAPACK_GLOBAL(dlaswp,DLASWP)
+#define LAPACK_claswp LAPACK_GLOBAL(claswp,CLASWP)
+#define LAPACK_zlaswp LAPACK_GLOBAL(zlaswp,ZLASWP)
+#define LAPACK_slange LAPACK_GLOBAL(slange,SLANGE)
+#define LAPACK_dlange LAPACK_GLOBAL(dlange,DLANGE)
+#define LAPACK_clange LAPACK_GLOBAL(clange,CLANGE)
+#define LAPACK_zlange LAPACK_GLOBAL(zlange,ZLANGE)
+#define LAPACK_clanhe LAPACK_GLOBAL(clanhe,CLANHE)
+#define LAPACK_zlanhe LAPACK_GLOBAL(zlanhe,ZLANHE)
+#define LAPACK_slansy LAPACK_GLOBAL(slansy,SLANSY)
+#define LAPACK_dlansy LAPACK_GLOBAL(dlansy,DLANSY)
+#define LAPACK_clansy LAPACK_GLOBAL(clansy,CLANSY)
+#define LAPACK_zlansy LAPACK_GLOBAL(zlansy,ZLANSY)
+#define LAPACK_slantr LAPACK_GLOBAL(slantr,SLANTR)
+#define LAPACK_dlantr LAPACK_GLOBAL(dlantr,DLANTR)
+#define LAPACK_clantr LAPACK_GLOBAL(clantr,CLANTR)
+#define LAPACK_zlantr LAPACK_GLOBAL(zlantr,ZLANTR)
+#define LAPACK_slamch LAPACK_GLOBAL(slamch,SLAMCH)
+#define LAPACK_dlamch LAPACK_GLOBAL(dlamch,DLAMCH)
+#define LAPACK_sgelq2 LAPACK_GLOBAL(sgelq2,SGELQ2)
+#define LAPACK_dgelq2 LAPACK_GLOBAL(dgelq2,DGELQ2)
+#define LAPACK_cgelq2 LAPACK_GLOBAL(cgelq2,CGELQ2)
+#define LAPACK_zgelq2 LAPACK_GLOBAL(zgelq2,ZGELQ2)
+#define LAPACK_slarfb LAPACK_GLOBAL(slarfb,SLARFB)
+#define LAPACK_dlarfb LAPACK_GLOBAL(dlarfb,DLARFB)
+#define LAPACK_clarfb LAPACK_GLOBAL(clarfb,CLARFB)
+#define LAPACK_zlarfb LAPACK_GLOBAL(zlarfb,ZLARFB)
+#define LAPACK_slarfg LAPACK_GLOBAL(slarfg,SLARFG)
+#define LAPACK_dlarfg LAPACK_GLOBAL(dlarfg,DLARFG)
+#define LAPACK_clarfg LAPACK_GLOBAL(clarfg,CLARFG)
+#define LAPACK_zlarfg LAPACK_GLOBAL(zlarfg,ZLARFG)
+#define LAPACK_slarft LAPACK_GLOBAL(slarft,SLARFT)
+#define LAPACK_dlarft LAPACK_GLOBAL(dlarft,DLARFT)
+#define LAPACK_clarft LAPACK_GLOBAL(clarft,CLARFT)
+#define LAPACK_zlarft LAPACK_GLOBAL(zlarft,ZLARFT)
+#define LAPACK_slarfx LAPACK_GLOBAL(slarfx,SLARFX)
+#define LAPACK_dlarfx LAPACK_GLOBAL(dlarfx,DLARFX)
+#define LAPACK_clarfx LAPACK_GLOBAL(clarfx,CLARFX)
+#define LAPACK_zlarfx LAPACK_GLOBAL(zlarfx,ZLARFX)
+#define LAPACK_slatms LAPACK_GLOBAL(slatms,SLATMS)
+#define LAPACK_dlatms LAPACK_GLOBAL(dlatms,DLATMS)
+#define LAPACK_clatms LAPACK_GLOBAL(clatms,CLATMS)
+#define LAPACK_zlatms LAPACK_GLOBAL(zlatms,ZLATMS)
+#define LAPACK_slag2d LAPACK_GLOBAL(slag2d,SLAG2D)
+#define LAPACK_dlag2s LAPACK_GLOBAL(dlag2s,DLAG2S)
+#define LAPACK_clag2z LAPACK_GLOBAL(clag2z,CLAG2Z)
+#define LAPACK_zlag2c LAPACK_GLOBAL(zlag2c,ZLAG2C)
+#define LAPACK_slauum LAPACK_GLOBAL(slauum,SLAUUM)
+#define LAPACK_dlauum LAPACK_GLOBAL(dlauum,DLAUUM)
+#define LAPACK_clauum LAPACK_GLOBAL(clauum,CLAUUM)
+#define LAPACK_zlauum LAPACK_GLOBAL(zlauum,ZLAUUM)
+#define LAPACK_slagge LAPACK_GLOBAL(slagge,SLAGGE)
+#define LAPACK_dlagge LAPACK_GLOBAL(dlagge,DLAGGE)
+#define LAPACK_clagge LAPACK_GLOBAL(clagge,CLAGGE)
+#define LAPACK_zlagge LAPACK_GLOBAL(zlagge,ZLAGGE)
+#define LAPACK_slaset LAPACK_GLOBAL(slaset,SLASET)
+#define LAPACK_dlaset LAPACK_GLOBAL(dlaset,DLASET)
+#define LAPACK_claset LAPACK_GLOBAL(claset,CLASET)
+#define LAPACK_zlaset LAPACK_GLOBAL(zlaset,ZLASET)
+#define LAPACK_slasrt LAPACK_GLOBAL(slasrt,SLASRT)
+#define LAPACK_dlasrt LAPACK_GLOBAL(dlasrt,DLASRT)
+#define LAPACK_slagsy LAPACK_GLOBAL(slagsy,SLAGSY)
+#define LAPACK_dlagsy LAPACK_GLOBAL(dlagsy,DLAGSY)
+#define LAPACK_clagsy LAPACK_GLOBAL(clagsy,CLAGSY)
+#define LAPACK_zlagsy LAPACK_GLOBAL(zlagsy,ZLAGSY)
+#define LAPACK_claghe LAPACK_GLOBAL(claghe,CLAGHE)
+#define LAPACK_zlaghe LAPACK_GLOBAL(zlaghe,ZLAGHE)
+#define LAPACK_slapmr LAPACK_GLOBAL(slapmr,SLAPMR)
+#define LAPACK_dlapmr LAPACK_GLOBAL(dlapmr,DLAPMR)
+#define LAPACK_clapmr LAPACK_GLOBAL(clapmr,CLAPMR)
+#define LAPACK_zlapmr LAPACK_GLOBAL(zlapmr,ZLAPMR)
+#define LAPACK_slapy2 LAPACK_GLOBAL(slapy2,SLAPY2)
+#define LAPACK_dlapy2 LAPACK_GLOBAL(dlapy2,DLAPY2)
+#define LAPACK_slapy3 LAPACK_GLOBAL(slapy3,SLAPY3)
+#define LAPACK_dlapy3 LAPACK_GLOBAL(dlapy3,DLAPY3)
+#define LAPACK_slartgp LAPACK_GLOBAL(slartgp,SLARTGP)
+#define LAPACK_dlartgp LAPACK_GLOBAL(dlartgp,DLARTGP)
+#define LAPACK_slartgs LAPACK_GLOBAL(slartgs,SLARTGS)
+#define LAPACK_dlartgs LAPACK_GLOBAL(dlartgs,DLARTGS)
+// LAPACK 3.3.0
+#define LAPACK_cbbcsd LAPACK_GLOBAL(cbbcsd,CBBCSD)
+#define LAPACK_cheswapr LAPACK_GLOBAL(cheswapr,CHESWAPR)
+#define LAPACK_chetri2 LAPACK_GLOBAL(chetri2,CHETRI2)
+#define LAPACK_chetri2x LAPACK_GLOBAL(chetri2x,CHETRI2X)
+#define LAPACK_chetrs2 LAPACK_GLOBAL(chetrs2,CHETRS2)
+#define LAPACK_csyconv LAPACK_GLOBAL(csyconv,CSYCONV)
+#define LAPACK_csyswapr LAPACK_GLOBAL(csyswapr,CSYSWAPR)
+#define LAPACK_csytri2 LAPACK_GLOBAL(csytri2,CSYTRI2)
+#define LAPACK_csytri2x LAPACK_GLOBAL(csytri2x,CSYTRI2X)
+#define LAPACK_csytrs2 LAPACK_GLOBAL(csytrs2,CSYTRS2)
+#define LAPACK_cunbdb LAPACK_GLOBAL(cunbdb,CUNBDB)
+#define LAPACK_cuncsd LAPACK_GLOBAL(cuncsd,CUNCSD)
+#define LAPACK_dbbcsd LAPACK_GLOBAL(dbbcsd,DBBCSD)
+#define LAPACK_dorbdb LAPACK_GLOBAL(dorbdb,DORBDB)
+#define LAPACK_dorcsd LAPACK_GLOBAL(dorcsd,DORCSD)
+#define LAPACK_dsyconv LAPACK_GLOBAL(dsyconv,DSYCONV)
+#define LAPACK_dsyswapr LAPACK_GLOBAL(dsyswapr,DSYSWAPR)
+#define LAPACK_dsytri2 LAPACK_GLOBAL(dsytri2,DSYTRI2)
+#define LAPACK_dsytri2x LAPACK_GLOBAL(dsytri2x,DSYTRI2X)
+#define LAPACK_dsytrs2 LAPACK_GLOBAL(dsytrs2,DSYTRS2)
+#define LAPACK_sbbcsd LAPACK_GLOBAL(sbbcsd,SBBCSD)
+#define LAPACK_sorbdb LAPACK_GLOBAL(sorbdb,SORBDB)
+#define LAPACK_sorcsd LAPACK_GLOBAL(sorcsd,SORCSD)
+#define LAPACK_ssyconv LAPACK_GLOBAL(ssyconv,SSYCONV)
+#define LAPACK_ssyswapr LAPACK_GLOBAL(ssyswapr,SSYSWAPR)
+#define LAPACK_ssytri2 LAPACK_GLOBAL(ssytri2,SSYTRI2)
+#define LAPACK_ssytri2x LAPACK_GLOBAL(ssytri2x,SSYTRI2X)
+#define LAPACK_ssytrs2 LAPACK_GLOBAL(ssytrs2,SSYTRS2)
+#define LAPACK_zbbcsd LAPACK_GLOBAL(zbbcsd,ZBBCSD)
+#define LAPACK_zheswapr LAPACK_GLOBAL(zheswapr,ZHESWAPR)
+#define LAPACK_zhetri2 LAPACK_GLOBAL(zhetri2,ZHETRI2)
+#define LAPACK_zhetri2x LAPACK_GLOBAL(zhetri2x,ZHETRI2X)
+#define LAPACK_zhetrs2 LAPACK_GLOBAL(zhetrs2,ZHETRS2)
+#define LAPACK_zsyconv LAPACK_GLOBAL(zsyconv,ZSYCONV)
+#define LAPACK_zsyswapr LAPACK_GLOBAL(zsyswapr,ZSYSWAPR)
+#define LAPACK_zsytri2 LAPACK_GLOBAL(zsytri2,ZSYTRI2)
+#define LAPACK_zsytri2x LAPACK_GLOBAL(zsytri2x,ZSYTRI2X)
+#define LAPACK_zsytrs2 LAPACK_GLOBAL(zsytrs2,ZSYTRS2)
+#define LAPACK_zunbdb LAPACK_GLOBAL(zunbdb,ZUNBDB)
+#define LAPACK_zuncsd LAPACK_GLOBAL(zuncsd,ZUNCSD)
+// LAPACK 3.4.0
+#define LAPACK_sgemqrt LAPACK_GLOBAL(sgemqrt,SGEMQRT)
+#define LAPACK_dgemqrt LAPACK_GLOBAL(dgemqrt,DGEMQRT)
+#define LAPACK_cgemqrt LAPACK_GLOBAL(cgemqrt,CGEMQRT)
+#define LAPACK_zgemqrt LAPACK_GLOBAL(zgemqrt,ZGEMQRT)
+#define LAPACK_sgeqrt LAPACK_GLOBAL(sgeqrt,SGEQRT)
+#define LAPACK_dgeqrt LAPACK_GLOBAL(dgeqrt,DGEQRT)
+#define LAPACK_cgeqrt LAPACK_GLOBAL(cgeqrt,CGEQRT)
+#define LAPACK_zgeqrt LAPACK_GLOBAL(zgeqrt,ZGEQRT)
+#define LAPACK_sgeqrt2 LAPACK_GLOBAL(sgeqrt2,SGEQRT2)
+#define LAPACK_dgeqrt2 LAPACK_GLOBAL(dgeqrt2,DGEQRT2)
+#define LAPACK_cgeqrt2 LAPACK_GLOBAL(cgeqrt2,CGEQRT2)
+#define LAPACK_zgeqrt2 LAPACK_GLOBAL(zgeqrt2,ZGEQRT2)
+#define LAPACK_sgeqrt3 LAPACK_GLOBAL(sgeqrt3,SGEQRT3)
+#define LAPACK_dgeqrt3 LAPACK_GLOBAL(dgeqrt3,DGEQRT3)
+#define LAPACK_cgeqrt3 LAPACK_GLOBAL(cgeqrt3,CGEQRT3)
+#define LAPACK_zgeqrt3 LAPACK_GLOBAL(zgeqrt3,ZGEQRT3)
+#define LAPACK_stpmqrt LAPACK_GLOBAL(stpmqrt,STPMQRT)
+#define LAPACK_dtpmqrt LAPACK_GLOBAL(dtpmqrt,DTPMQRT)
+#define LAPACK_ctpmqrt LAPACK_GLOBAL(ctpmqrt,CTPMQRT)
+#define LAPACK_ztpmqrt LAPACK_GLOBAL(ztpmqrt,ZTPMQRT)
+#define LAPACK_dtpqrt LAPACK_GLOBAL(dtpqrt,DTPQRT)
+#define LAPACK_ctpqrt LAPACK_GLOBAL(ctpqrt,CTPQRT)
+#define LAPACK_ztpqrt LAPACK_GLOBAL(ztpqrt,ZTPQRT)
+#define LAPACK_stpqrt2 LAPACK_GLOBAL(stpqrt2,STPQRT2)
+#define LAPACK_dtpqrt2 LAPACK_GLOBAL(dtpqrt2,DTPQRT2)
+#define LAPACK_ctpqrt2 LAPACK_GLOBAL(ctpqrt2,CTPQRT2)
+#define LAPACK_ztpqrt2 LAPACK_GLOBAL(ztpqrt2,ZTPQRT2)
+#define LAPACK_stprfb LAPACK_GLOBAL(stprfb,STPRFB)
+#define LAPACK_dtprfb LAPACK_GLOBAL(dtprfb,DTPRFB)
+#define LAPACK_ctprfb LAPACK_GLOBAL(ctprfb,CTPRFB)
+#define LAPACK_ztprfb LAPACK_GLOBAL(ztprfb,ZTPRFB)
+// LAPACK 3.X.X
+#define LAPACK_csyr LAPACK_GLOBAL(csyr,CSYR)
+#define LAPACK_zsyr LAPACK_GLOBAL(zsyr,ZSYR)
+
+
+void LAPACK_sgetrf( lapack_int* m, lapack_int* n, float* a, lapack_int* lda,
+                    lapack_int* ipiv, lapack_int *info );
+void LAPACK_dgetrf( lapack_int* m, lapack_int* n, double* a, lapack_int* lda,
+                    lapack_int* ipiv, lapack_int *info );
+void LAPACK_cgetrf( lapack_int* m, lapack_int* n, lapack_complex_float* a,
+                    lapack_int* lda, lapack_int* ipiv, lapack_int *info );
+void LAPACK_zgetrf( lapack_int* m, lapack_int* n, lapack_complex_double* a,
+                    lapack_int* lda, lapack_int* ipiv, lapack_int *info );
+void LAPACK_sgbtrf( lapack_int* m, lapack_int* n, lapack_int* kl,
+                    lapack_int* ku, float* ab, lapack_int* ldab,
+                    lapack_int* ipiv, lapack_int *info );
+void LAPACK_dgbtrf( lapack_int* m, lapack_int* n, lapack_int* kl,
+                    lapack_int* ku, double* ab, lapack_int* ldab,
+                    lapack_int* ipiv, lapack_int *info );
+void LAPACK_cgbtrf( lapack_int* m, lapack_int* n, lapack_int* kl,
+                    lapack_int* ku, lapack_complex_float* ab, lapack_int* ldab,
+                    lapack_int* ipiv, lapack_int *info );
+void LAPACK_zgbtrf( lapack_int* m, lapack_int* n, lapack_int* kl,
+                    lapack_int* ku, lapack_complex_double* ab, lapack_int* ldab,
+                    lapack_int* ipiv, lapack_int *info );
+void LAPACK_sgttrf( lapack_int* n, float* dl, float* d, float* du, float* du2,
+                    lapack_int* ipiv, lapack_int *info );
+void LAPACK_dgttrf( lapack_int* n, double* dl, double* d, double* du,
+                    double* du2, lapack_int* ipiv, lapack_int *info );
+void LAPACK_cgttrf( lapack_int* n, lapack_complex_float* dl,
+                    lapack_complex_float* d, lapack_complex_float* du,
+                    lapack_complex_float* du2, lapack_int* ipiv,
+                    lapack_int *info );
+void LAPACK_zgttrf( lapack_int* n, lapack_complex_double* dl,
+                    lapack_complex_double* d, lapack_complex_double* du,
+                    lapack_complex_double* du2, lapack_int* ipiv,
+                    lapack_int *info );
+void LAPACK_spotrf( char* uplo, lapack_int* n, float* a, lapack_int* lda,
+                    lapack_int *info );
+void LAPACK_dpotrf( char* uplo, lapack_int* n, double* a, lapack_int* lda,
+                    lapack_int *info );
+void LAPACK_cpotrf( char* uplo, lapack_int* n, lapack_complex_float* a,
+                    lapack_int* lda, lapack_int *info );
+void LAPACK_zpotrf( char* uplo, lapack_int* n, lapack_complex_double* a,
+                    lapack_int* lda, lapack_int *info );
+void LAPACK_dpstrf( char* uplo, lapack_int* n, double* a, lapack_int* lda,
+                    lapack_int* piv, lapack_int* rank, double* tol,
+                    double* work, lapack_int *info );
+void LAPACK_spstrf( char* uplo, lapack_int* n, float* a, lapack_int* lda,
+                    lapack_int* piv, lapack_int* rank, float* tol, float* work,
+                    lapack_int *info );
+void LAPACK_zpstrf( char* uplo, lapack_int* n, lapack_complex_double* a,
+                    lapack_int* lda, lapack_int* piv, lapack_int* rank,
+                    double* tol, double* work, lapack_int *info );
+void LAPACK_cpstrf( char* uplo, lapack_int* n, lapack_complex_float* a,
+                    lapack_int* lda, lapack_int* piv, lapack_int* rank,
+                    float* tol, float* work, lapack_int *info );
+void LAPACK_dpftrf( char* transr, char* uplo, lapack_int* n, double* a,
+                    lapack_int *info );
+void LAPACK_spftrf( char* transr, char* uplo, lapack_int* n, float* a,
+                    lapack_int *info );
+void LAPACK_zpftrf( char* transr, char* uplo, lapack_int* n,
+                    lapack_complex_double* a, lapack_int *info );
+void LAPACK_cpftrf( char* transr, char* uplo, lapack_int* n,
+                    lapack_complex_float* a, lapack_int *info );
+void LAPACK_spptrf( char* uplo, lapack_int* n, float* ap, lapack_int *info );
+void LAPACK_dpptrf( char* uplo, lapack_int* n, double* ap, lapack_int *info );
+void LAPACK_cpptrf( char* uplo, lapack_int* n, lapack_complex_float* ap,
+                    lapack_int *info );
+void LAPACK_zpptrf( char* uplo, lapack_int* n, lapack_complex_double* ap,
+                    lapack_int *info );
+void LAPACK_spbtrf( char* uplo, lapack_int* n, lapack_int* kd, float* ab,
+                    lapack_int* ldab, lapack_int *info );
+void LAPACK_dpbtrf( char* uplo, lapack_int* n, lapack_int* kd, double* ab,
+                    lapack_int* ldab, lapack_int *info );
+void LAPACK_cpbtrf( char* uplo, lapack_int* n, lapack_int* kd,
+                    lapack_complex_float* ab, lapack_int* ldab,
+                    lapack_int *info );
+void LAPACK_zpbtrf( char* uplo, lapack_int* n, lapack_int* kd,
+                    lapack_complex_double* ab, lapack_int* ldab,
+                    lapack_int *info );
+void LAPACK_spttrf( lapack_int* n, float* d, float* e, lapack_int *info );
+void LAPACK_dpttrf( lapack_int* n, double* d, double* e, lapack_int *info );
+void LAPACK_cpttrf( lapack_int* n, float* d, lapack_complex_float* e,
+                    lapack_int *info );
+void LAPACK_zpttrf( lapack_int* n, double* d, lapack_complex_double* e,
+                    lapack_int *info );
+void LAPACK_ssytrf( char* uplo, lapack_int* n, float* a, lapack_int* lda,
+                    lapack_int* ipiv, float* work, lapack_int* lwork,
+                    lapack_int *info );
+void LAPACK_dsytrf( char* uplo, lapack_int* n, double* a, lapack_int* lda,
+                    lapack_int* ipiv, double* work, lapack_int* lwork,
+                    lapack_int *info );
+void LAPACK_csytrf( char* uplo, lapack_int* n, lapack_complex_float* a,
+                    lapack_int* lda, lapack_int* ipiv,
+                    lapack_complex_float* work, lapack_int* lwork,
+                    lapack_int *info );
+void LAPACK_zsytrf( char* uplo, lapack_int* n, lapack_complex_double* a,
+                    lapack_int* lda, lapack_int* ipiv,
+                    lapack_complex_double* work, lapack_int* lwork,
+                    lapack_int *info );
+void LAPACK_chetrf( char* uplo, lapack_int* n, lapack_complex_float* a,
+                    lapack_int* lda, lapack_int* ipiv,
+                    lapack_complex_float* work, lapack_int* lwork,
+                    lapack_int *info );
+void LAPACK_zhetrf( char* uplo, lapack_int* n, lapack_complex_double* a,
+                    lapack_int* lda, lapack_int* ipiv,
+                    lapack_complex_double* work, lapack_int* lwork,
+                    lapack_int *info );
+void LAPACK_ssptrf( char* uplo, lapack_int* n, float* ap, lapack_int* ipiv,
+                    lapack_int *info );
+void LAPACK_dsptrf( char* uplo, lapack_int* n, double* ap, lapack_int* ipiv,
+                    lapack_int *info );
+void LAPACK_csptrf( char* uplo, lapack_int* n, lapack_complex_float* ap,
+                    lapack_int* ipiv, lapack_int *info );
+void LAPACK_zsptrf( char* uplo, lapack_int* n, lapack_complex_double* ap,
+                    lapack_int* ipiv, lapack_int *info );
+void LAPACK_chptrf( char* uplo, lapack_int* n, lapack_complex_float* ap,
+                    lapack_int* ipiv, lapack_int *info );
+void LAPACK_zhptrf( char* uplo, lapack_int* n, lapack_complex_double* ap,
+                    lapack_int* ipiv, lapack_int *info );
+void LAPACK_sgetrs( char* trans, lapack_int* n, lapack_int* nrhs,
+                    const float* a, lapack_int* lda, const lapack_int* ipiv,
+                    float* b, lapack_int* ldb, lapack_int *info );
+void LAPACK_dgetrs( char* trans, lapack_int* n, lapack_int* nrhs,
+                    const double* a, lapack_int* lda, const lapack_int* ipiv,
+                    double* b, lapack_int* ldb, lapack_int *info );
+void LAPACK_cgetrs( char* trans, lapack_int* n, lapack_int* nrhs,
+                    const lapack_complex_float* a, lapack_int* lda,
+                    const lapack_int* ipiv, lapack_complex_float* b,
+                    lapack_int* ldb, lapack_int *info );
+void LAPACK_zgetrs( char* trans, lapack_int* n, lapack_int* nrhs,
+                    const lapack_complex_double* a, lapack_int* lda,
+                    const lapack_int* ipiv, lapack_complex_double* b,
+                    lapack_int* ldb, lapack_int *info );
+void LAPACK_sgbtrs( char* trans, lapack_int* n, lapack_int* kl, lapack_int* ku,
+                    lapack_int* nrhs, const float* ab, lapack_int* ldab,
+                    const lapack_int* ipiv, float* b, lapack_int* ldb,
+                    lapack_int *info );
+void LAPACK_dgbtrs( char* trans, lapack_int* n, lapack_int* kl, lapack_int* ku,
+                    lapack_int* nrhs, const double* ab, lapack_int* ldab,
+                    const lapack_int* ipiv, double* b, lapack_int* ldb,
+                    lapack_int *info );
+void LAPACK_cgbtrs( char* trans, lapack_int* n, lapack_int* kl, lapack_int* ku,
+                    lapack_int* nrhs, const lapack_complex_float* ab,
+                    lapack_int* ldab, const lapack_int* ipiv,
+                    lapack_complex_float* b, lapack_int* ldb,
+                    lapack_int *info );
+void LAPACK_zgbtrs( char* trans, lapack_int* n, lapack_int* kl, lapack_int* ku,
+                    lapack_int* nrhs, const lapack_complex_double* ab,
+                    lapack_int* ldab, const lapack_int* ipiv,
+                    lapack_complex_double* b, lapack_int* ldb,
+                    lapack_int *info );
+void LAPACK_sgttrs( char* trans, lapack_int* n, lapack_int* nrhs,
+                    const float* dl, const float* d, const float* du,
+                    const float* du2, const lapack_int* ipiv, float* b,
+                    lapack_int* ldb, lapack_int *info );
+void LAPACK_dgttrs( char* trans, lapack_int* n, lapack_int* nrhs,
+                    const double* dl, const double* d, const double* du,
+                    const double* du2, const lapack_int* ipiv, double* b,
+                    lapack_int* ldb, lapack_int *info );
+void LAPACK_cgttrs( char* trans, lapack_int* n, lapack_int* nrhs,
+                    const lapack_complex_float* dl,
+                    const lapack_complex_float* d,
+                    const lapack_complex_float* du,
+                    const lapack_complex_float* du2, const lapack_int* ipiv,
+                    lapack_complex_float* b, lapack_int* ldb,
+                    lapack_int *info );
+void LAPACK_zgttrs( char* trans, lapack_int* n, lapack_int* nrhs,
+                    const lapack_complex_double* dl,
+                    const lapack_complex_double* d,
+                    const lapack_complex_double* du,
+                    const lapack_complex_double* du2, const lapack_int* ipiv,
+                    lapack_complex_double* b, lapack_int* ldb,
+                    lapack_int *info );
+void LAPACK_spotrs( char* uplo, lapack_int* n, lapack_int* nrhs, const float* a,
+                    lapack_int* lda, float* b, lapack_int* ldb,
+                    lapack_int *info );
+void LAPACK_dpotrs( char* uplo, lapack_int* n, lapack_int* nrhs,
+                    const double* a, lapack_int* lda, double* b,
+                    lapack_int* ldb, lapack_int *info );
+void LAPACK_cpotrs( char* uplo, lapack_int* n, lapack_int* nrhs,
+                    const lapack_complex_float* a, lapack_int* lda,
+                    lapack_complex_float* b, lapack_int* ldb,
+                    lapack_int *info );
+void LAPACK_zpotrs( char* uplo, lapack_int* n, lapack_int* nrhs,
+                    const lapack_complex_double* a, lapack_int* lda,
+                    lapack_complex_double* b, lapack_int* ldb,
+                    lapack_int *info );
+void LAPACK_dpftrs( char* transr, char* uplo, lapack_int* n, lapack_int* nrhs,
+                    const double* a, double* b, lapack_int* ldb,
+                    lapack_int *info );
+void LAPACK_spftrs( char* transr, char* uplo, lapack_int* n, lapack_int* nrhs,
+                    const float* a, float* b, lapack_int* ldb,
+                    lapack_int *info );
+void LAPACK_zpftrs( char* transr, char* uplo, lapack_int* n, lapack_int* nrhs,
+                    const lapack_complex_double* a, lapack_complex_double* b,
+                    lapack_int* ldb, lapack_int *info );
+void LAPACK_cpftrs( char* transr, char* uplo, lapack_int* n, lapack_int* nrhs,
+                    const lapack_complex_float* a, lapack_complex_float* b,
+                    lapack_int* ldb, lapack_int *info );
+void LAPACK_spptrs( char* uplo, lapack_int* n, lapack_int* nrhs,
+                    const float* ap, float* b, lapack_int* ldb,
+                    lapack_int *info );
+void LAPACK_dpptrs( char* uplo, lapack_int* n, lapack_int* nrhs,
+                    const double* ap, double* b, lapack_int* ldb,
+                    lapack_int *info );
+void LAPACK_cpptrs( char* uplo, lapack_int* n, lapack_int* nrhs,
+                    const lapack_complex_float* ap, lapack_complex_float* b,
+                    lapack_int* ldb, lapack_int *info );
+void LAPACK_zpptrs( char* uplo, lapack_int* n, lapack_int* nrhs,
+                    const lapack_complex_double* ap, lapack_complex_double* b,
+                    lapack_int* ldb, lapack_int *info );
+void LAPACK_spbtrs( char* uplo, lapack_int* n, lapack_int* kd, lapack_int* nrhs,
+                    const float* ab, lapack_int* ldab, float* b,
+                    lapack_int* ldb, lapack_int *info );
+void LAPACK_dpbtrs( char* uplo, lapack_int* n, lapack_int* kd, lapack_int* nrhs,
+                    const double* ab, lapack_int* ldab, double* b,
+                    lapack_int* ldb, lapack_int *info );
+void LAPACK_cpbtrs( char* uplo, lapack_int* n, lapack_int* kd, lapack_int* nrhs,
+                    const lapack_complex_float* ab, lapack_int* ldab,
+                    lapack_complex_float* b, lapack_int* ldb,
+                    lapack_int *info );
+void LAPACK_zpbtrs( char* uplo, lapack_int* n, lapack_int* kd, lapack_int* nrhs,
+                    const lapack_complex_double* ab, lapack_int* ldab,
+                    lapack_complex_double* b, lapack_int* ldb,
+                    lapack_int *info );
+void LAPACK_spttrs( lapack_int* n, lapack_int* nrhs, const float* d,
+                    const float* e, float* b, lapack_int* ldb,
+                    lapack_int *info );
+void LAPACK_dpttrs( lapack_int* n, lapack_int* nrhs, const double* d,
+                    const double* e, double* b, lapack_int* ldb,
+                    lapack_int *info );
+void LAPACK_cpttrs( char* uplo, lapack_int* n, lapack_int* nrhs, const float* d,
+                    const lapack_complex_float* e, lapack_complex_float* b,
+                    lapack_int* ldb, lapack_int *info );
+void LAPACK_zpttrs( char* uplo, lapack_int* n, lapack_int* nrhs,
+                    const double* d, const lapack_complex_double* e,
+                    lapack_complex_double* b, lapack_int* ldb,
+                    lapack_int *info );
+void LAPACK_ssytrs( char* uplo, lapack_int* n, lapack_int* nrhs, const float* a,
+                    lapack_int* lda, const lapack_int* ipiv, float* b,
+                    lapack_int* ldb, lapack_int *info );
+void LAPACK_dsytrs( char* uplo, lapack_int* n, lapack_int* nrhs,
+                    const double* a, lapack_int* lda, const lapack_int* ipiv,
+                    double* b, lapack_int* ldb, lapack_int *info );
+void LAPACK_csytrs( char* uplo, lapack_int* n, lapack_int* nrhs,
+                    const lapack_complex_float* a, lapack_int* lda,
+                    const lapack_int* ipiv, lapack_complex_float* b,
+                    lapack_int* ldb, lapack_int *info );
+void LAPACK_zsytrs( char* uplo, lapack_int* n, lapack_int* nrhs,
+                    const lapack_complex_double* a, lapack_int* lda,
+                    const lapack_int* ipiv, lapack_complex_double* b,
+                    lapack_int* ldb, lapack_int *info );
+void LAPACK_chetrs( char* uplo, lapack_int* n, lapack_int* nrhs,
+                    const lapack_complex_float* a, lapack_int* lda,
+                    const lapack_int* ipiv, lapack_complex_float* b,
+                    lapack_int* ldb, lapack_int *info );
+void LAPACK_zhetrs( char* uplo, lapack_int* n, lapack_int* nrhs,
+                    const lapack_complex_double* a, lapack_int* lda,
+                    const lapack_int* ipiv, lapack_complex_double* b,
+                    lapack_int* ldb, lapack_int *info );
+void LAPACK_ssptrs( char* uplo, lapack_int* n, lapack_int* nrhs,
+                    const float* ap, const lapack_int* ipiv, float* b,
+                    lapack_int* ldb, lapack_int *info );
+void LAPACK_dsptrs( char* uplo, lapack_int* n, lapack_int* nrhs,
+                    const double* ap, const lapack_int* ipiv, double* b,
+                    lapack_int* ldb, lapack_int *info );
+void LAPACK_csptrs( char* uplo, lapack_int* n, lapack_int* nrhs,
+                    const lapack_complex_float* ap, const lapack_int* ipiv,
+                    lapack_complex_float* b, lapack_int* ldb,
+                    lapack_int *info );
+void LAPACK_zsptrs( char* uplo, lapack_int* n, lapack_int* nrhs,
+                    const lapack_complex_double* ap, const lapack_int* ipiv,
+                    lapack_complex_double* b, lapack_int* ldb,
+                    lapack_int *info );
+void LAPACK_chptrs( char* uplo, lapack_int* n, lapack_int* nrhs,
+                    const lapack_complex_float* ap, const lapack_int* ipiv,
+                    lapack_complex_float* b, lapack_int* ldb,
+                    lapack_int *info );
+void LAPACK_zhptrs( char* uplo, lapack_int* n, lapack_int* nrhs,
+                    const lapack_complex_double* ap, const lapack_int* ipiv,
+                    lapack_complex_double* b, lapack_int* ldb,
+                    lapack_int *info );
+void LAPACK_strtrs( char* uplo, char* trans, char* diag, lapack_int* n,
+                    lapack_int* nrhs, const float* a, lapack_int* lda, float* b,
+                    lapack_int* ldb, lapack_int *info );
+void LAPACK_dtrtrs( char* uplo, char* trans, char* diag, lapack_int* n,
+                    lapack_int* nrhs, const double* a, lapack_int* lda,
+                    double* b, lapack_int* ldb, lapack_int *info );
+void LAPACK_ctrtrs( char* uplo, char* trans, char* diag, lapack_int* n,
+                    lapack_int* nrhs, const lapack_complex_float* a,
+                    lapack_int* lda, lapack_complex_float* b, lapack_int* ldb,
+                    lapack_int *info );
+void LAPACK_ztrtrs( char* uplo, char* trans, char* diag, lapack_int* n,
+                    lapack_int* nrhs, const lapack_complex_double* a,
+                    lapack_int* lda, lapack_complex_double* b, lapack_int* ldb,
+                    lapack_int *info );
+void LAPACK_stptrs( char* uplo, char* trans, char* diag, lapack_int* n,
+                    lapack_int* nrhs, const float* ap, float* b,
+                    lapack_int* ldb, lapack_int *info );
+void LAPACK_dtptrs( char* uplo, char* trans, char* diag, lapack_int* n,
+                    lapack_int* nrhs, const double* ap, double* b,
+                    lapack_int* ldb, lapack_int *info );
+void LAPACK_ctptrs( char* uplo, char* trans, char* diag, lapack_int* n,
+                    lapack_int* nrhs, const lapack_complex_float* ap,
+                    lapack_complex_float* b, lapack_int* ldb,
+                    lapack_int *info );
+void LAPACK_ztptrs( char* uplo, char* trans, char* diag, lapack_int* n,
+                    lapack_int* nrhs, const lapack_complex_double* ap,
+                    lapack_complex_double* b, lapack_int* ldb,
+                    lapack_int *info );
+void LAPACK_stbtrs( char* uplo, char* trans, char* diag, lapack_int* n,
+                    lapack_int* kd, lapack_int* nrhs, const float* ab,
+                    lapack_int* ldab, float* b, lapack_int* ldb,
+                    lapack_int *info );
+void LAPACK_dtbtrs( char* uplo, char* trans, char* diag, lapack_int* n,
+                    lapack_int* kd, lapack_int* nrhs, const double* ab,
+                    lapack_int* ldab, double* b, lapack_int* ldb,
+                    lapack_int *info );
+void LAPACK_ctbtrs( char* uplo, char* trans, char* diag, lapack_int* n,
+                    lapack_int* kd, lapack_int* nrhs,
+                    const lapack_complex_float* ab, lapack_int* ldab,
+                    lapack_complex_float* b, lapack_int* ldb,
+                    lapack_int *info );
+void LAPACK_ztbtrs( char* uplo, char* trans, char* diag, lapack_int* n,
+                    lapack_int* kd, lapack_int* nrhs,
+                    const lapack_complex_double* ab, lapack_int* ldab,
+                    lapack_complex_double* b, lapack_int* ldb,
+                    lapack_int *info );
+void LAPACK_sgecon( char* norm, lapack_int* n, const float* a, lapack_int* lda,
+                    float* anorm, float* rcond, float* work, lapack_int* iwork,
+                    lapack_int *info );
+void LAPACK_dgecon( char* norm, lapack_int* n, const double* a, lapack_int* lda,
+                    double* anorm, double* rcond, double* work,
+                    lapack_int* iwork, lapack_int *info );
+void LAPACK_cgecon( char* norm, lapack_int* n, const lapack_complex_float* a,
+                    lapack_int* lda, float* anorm, float* rcond,
+                    lapack_complex_float* work, float* rwork,
+                    lapack_int *info );
+void LAPACK_zgecon( char* norm, lapack_int* n, const lapack_complex_double* a,
+                    lapack_int* lda, double* anorm, double* rcond,
+                    lapack_complex_double* work, double* rwork,
+                    lapack_int *info );
+void LAPACK_sgbcon( char* norm, lapack_int* n, lapack_int* kl, lapack_int* ku,
+                    const float* ab, lapack_int* ldab, const lapack_int* ipiv,
+                    float* anorm, float* rcond, float* work, lapack_int* iwork,
+                    lapack_int *info );
+void LAPACK_dgbcon( char* norm, lapack_int* n, lapack_int* kl, lapack_int* ku,
+                    const double* ab, lapack_int* ldab, const lapack_int* ipiv,
+                    double* anorm, double* rcond, double* work,
+                    lapack_int* iwork, lapack_int *info );
+void LAPACK_cgbcon( char* norm, lapack_int* n, lapack_int* kl, lapack_int* ku,
+                    const lapack_complex_float* ab, lapack_int* ldab,
+                    const lapack_int* ipiv, float* anorm, float* rcond,
+                    lapack_complex_float* work, float* rwork,
+                    lapack_int *info );
+void LAPACK_zgbcon( char* norm, lapack_int* n, lapack_int* kl, lapack_int* ku,
+                    const lapack_complex_double* ab, lapack_int* ldab,
+                    const lapack_int* ipiv, double* anorm, double* rcond,
+                    lapack_complex_double* work, double* rwork,
+                    lapack_int *info );
+void LAPACK_sgtcon( char* norm, lapack_int* n, const float* dl, const float* d,
+                    const float* du, const float* du2, const lapack_int* ipiv,
+                    float* anorm, float* rcond, float* work, lapack_int* iwork,
+                    lapack_int *info );
+void LAPACK_dgtcon( char* norm, lapack_int* n, const double* dl,
+                    const double* d, const double* du, const double* du2,
+                    const lapack_int* ipiv, double* anorm, double* rcond,
+                    double* work, lapack_int* iwork, lapack_int *info );
+void LAPACK_cgtcon( char* norm, lapack_int* n, const lapack_complex_float* dl,
+                    const lapack_complex_float* d,
+                    const lapack_complex_float* du,
+                    const lapack_complex_float* du2, const lapack_int* ipiv,
+                    float* anorm, float* rcond, lapack_complex_float* work,
+                    lapack_int *info );
+void LAPACK_zgtcon( char* norm, lapack_int* n, const lapack_complex_double* dl,
+                    const lapack_complex_double* d,
+                    const lapack_complex_double* du,
+                    const lapack_complex_double* du2, const lapack_int* ipiv,
+                    double* anorm, double* rcond, lapack_complex_double* work,
+                    lapack_int *info );
+void LAPACK_spocon( char* uplo, lapack_int* n, const float* a, lapack_int* lda,
+                    float* anorm, float* rcond, float* work, lapack_int* iwork,
+                    lapack_int *info );
+void LAPACK_dpocon( char* uplo, lapack_int* n, const double* a, lapack_int* lda,
+                    double* anorm, double* rcond, double* work,
+                    lapack_int* iwork, lapack_int *info );
+void LAPACK_cpocon( char* uplo, lapack_int* n, const lapack_complex_float* a,
+                    lapack_int* lda, float* anorm, float* rcond,
+                    lapack_complex_float* work, float* rwork,
+                    lapack_int *info );
+void LAPACK_zpocon( char* uplo, lapack_int* n, const lapack_complex_double* a,
+                    lapack_int* lda, double* anorm, double* rcond,
+                    lapack_complex_double* work, double* rwork,
+                    lapack_int *info );
+void LAPACK_sppcon( char* uplo, lapack_int* n, const float* ap, float* anorm,
+                    float* rcond, float* work, lapack_int* iwork,
+                    lapack_int *info );
+void LAPACK_dppcon( char* uplo, lapack_int* n, const double* ap, double* anorm,
+                    double* rcond, double* work, lapack_int* iwork,
+                    lapack_int *info );
+void LAPACK_cppcon( char* uplo, lapack_int* n, const lapack_complex_float* ap,
+                    float* anorm, float* rcond, lapack_complex_float* work,
+                    float* rwork, lapack_int *info );
+void LAPACK_zppcon( char* uplo, lapack_int* n, const lapack_complex_double* ap,
+                    double* anorm, double* rcond, lapack_complex_double* work,
+                    double* rwork, lapack_int *info );
+void LAPACK_spbcon( char* uplo, lapack_int* n, lapack_int* kd, const float* ab,
+                    lapack_int* ldab, float* anorm, float* rcond, float* work,
+                    lapack_int* iwork, lapack_int *info );
+void LAPACK_dpbcon( char* uplo, lapack_int* n, lapack_int* kd, const double* ab,
+                    lapack_int* ldab, double* anorm, double* rcond,
+                    double* work, lapack_int* iwork, lapack_int *info );
+void LAPACK_cpbcon( char* uplo, lapack_int* n, lapack_int* kd,
+                    const lapack_complex_float* ab, lapack_int* ldab,
+                    float* anorm, float* rcond, lapack_complex_float* work,
+                    float* rwork, lapack_int *info );
+void LAPACK_zpbcon( char* uplo, lapack_int* n, lapack_int* kd,
+                    const lapack_complex_double* ab, lapack_int* ldab,
+                    double* anorm, double* rcond, lapack_complex_double* work,
+                    double* rwork, lapack_int *info );
+void LAPACK_sptcon( lapack_int* n, const float* d, const float* e, float* anorm,
+                    float* rcond, float* work, lapack_int *info );
+void LAPACK_dptcon( lapack_int* n, const double* d, const double* e,
+                    double* anorm, double* rcond, double* work,
+                    lapack_int *info );
+void LAPACK_cptcon( lapack_int* n, const float* d,
+                    const lapack_complex_float* e, float* anorm, float* rcond,
+                    float* work, lapack_int *info );
+void LAPACK_zptcon( lapack_int* n, const double* d,
+                    const lapack_complex_double* e, double* anorm,
+                    double* rcond, double* work, lapack_int *info );
+void LAPACK_ssycon( char* uplo, lapack_int* n, const float* a, lapack_int* lda,
+                    const lapack_int* ipiv, float* anorm, float* rcond,
+                    float* work, lapack_int* iwork, lapack_int *info );
+void LAPACK_dsycon( char* uplo, lapack_int* n, const double* a, lapack_int* lda,
+                    const lapack_int* ipiv, double* anorm, double* rcond,
+                    double* work, lapack_int* iwork, lapack_int *info );
+void LAPACK_csycon( char* uplo, lapack_int* n, const lapack_complex_float* a,
+                    lapack_int* lda, const lapack_int* ipiv, float* anorm,
+                    float* rcond, lapack_complex_float* work,
+                    lapack_int *info );
+void LAPACK_zsycon( char* uplo, lapack_int* n, const lapack_complex_double* a,
+                    lapack_int* lda, const lapack_int* ipiv, double* anorm,
+                    double* rcond, lapack_complex_double* work,
+                    lapack_int *info );
+void LAPACK_checon( char* uplo, lapack_int* n, const lapack_complex_float* a,
+                    lapack_int* lda, const lapack_int* ipiv, float* anorm,
+                    float* rcond, lapack_complex_float* work,
+                    lapack_int *info );
+void LAPACK_zhecon( char* uplo, lapack_int* n, const lapack_complex_double* a,
+                    lapack_int* lda, const lapack_int* ipiv, double* anorm,
+                    double* rcond, lapack_complex_double* work,
+                    lapack_int *info );
+void LAPACK_sspcon( char* uplo, lapack_int* n, const float* ap,
+                    const lapack_int* ipiv, float* anorm, float* rcond,
+                    float* work, lapack_int* iwork, lapack_int *info );
+void LAPACK_dspcon( char* uplo, lapack_int* n, const double* ap,
+                    const lapack_int* ipiv, double* anorm, double* rcond,
+                    double* work, lapack_int* iwork, lapack_int *info );
+void LAPACK_cspcon( char* uplo, lapack_int* n, const lapack_complex_float* ap,
+                    const lapack_int* ipiv, float* anorm, float* rcond,
+                    lapack_complex_float* work, lapack_int *info );
+void LAPACK_zspcon( char* uplo, lapack_int* n, const lapack_complex_double* ap,
+                    const lapack_int* ipiv, double* anorm, double* rcond,
+                    lapack_complex_double* work, lapack_int *info );
+void LAPACK_chpcon( char* uplo, lapack_int* n, const lapack_complex_float* ap,
+                    const lapack_int* ipiv, float* anorm, float* rcond,
+                    lapack_complex_float* work, lapack_int *info );
+void LAPACK_zhpcon( char* uplo, lapack_int* n, const lapack_complex_double* ap,
+                    const lapack_int* ipiv, double* anorm, double* rcond,
+                    lapack_complex_double* work, lapack_int *info );
+void LAPACK_strcon( char* norm, char* uplo, char* diag, lapack_int* n,
+                    const float* a, lapack_int* lda, float* rcond, float* work,
+                    lapack_int* iwork, lapack_int *info );
+void LAPACK_dtrcon( char* norm, char* uplo, char* diag, lapack_int* n,
+                    const double* a, lapack_int* lda, double* rcond,
+                    double* work, lapack_int* iwork, lapack_int *info );
+void LAPACK_ctrcon( char* norm, char* uplo, char* diag, lapack_int* n,
+                    const lapack_complex_float* a, lapack_int* lda,
+                    float* rcond, lapack_complex_float* work, float* rwork,
+                    lapack_int *info );
+void LAPACK_ztrcon( char* norm, char* uplo, char* diag, lapack_int* n,
+                    const lapack_complex_double* a, lapack_int* lda,
+                    double* rcond, lapack_complex_double* work, double* rwork,
+                    lapack_int *info );
+void LAPACK_stpcon( char* norm, char* uplo, char* diag, lapack_int* n,
+                    const float* ap, float* rcond, float* work,
+                    lapack_int* iwork, lapack_int *info );
+void LAPACK_dtpcon( char* norm, char* uplo, char* diag, lapack_int* n,
+                    const double* ap, double* rcond, double* work,
+                    lapack_int* iwork, lapack_int *info );
+void LAPACK_ctpcon( char* norm, char* uplo, char* diag, lapack_int* n,
+                    const lapack_complex_float* ap, float* rcond,
+                    lapack_complex_float* work, float* rwork,
+                    lapack_int *info );
+void LAPACK_ztpcon( char* norm, char* uplo, char* diag, lapack_int* n,
+                    const lapack_complex_double* ap, double* rcond,
+                    lapack_complex_double* work, double* rwork,
+                    lapack_int *info );
+void LAPACK_stbcon( char* norm, char* uplo, char* diag, lapack_int* n,
+                    lapack_int* kd, const float* ab, lapack_int* ldab,
+                    float* rcond, float* work, lapack_int* iwork,
+                    lapack_int *info );
+void LAPACK_dtbcon( char* norm, char* uplo, char* diag, lapack_int* n,
+                    lapack_int* kd, const double* ab, lapack_int* ldab,
+                    double* rcond, double* work, lapack_int* iwork,
+                    lapack_int *info );
+void LAPACK_ctbcon( char* norm, char* uplo, char* diag, lapack_int* n,
+                    lapack_int* kd, const lapack_complex_float* ab,
+                    lapack_int* ldab, float* rcond, lapack_complex_float* work,
+                    float* rwork, lapack_int *info );
+void LAPACK_ztbcon( char* norm, char* uplo, char* diag, lapack_int* n,
+                    lapack_int* kd, const lapack_complex_double* ab,
+                    lapack_int* ldab, double* rcond,
+                    lapack_complex_double* work, double* rwork,
+                    lapack_int *info );
+void LAPACK_sgerfs( char* trans, lapack_int* n, lapack_int* nrhs,
+                    const float* a, lapack_int* lda, const float* af,
+                    lapack_int* ldaf, const lapack_int* ipiv, const float* b,
+                    lapack_int* ldb, float* x, lapack_int* ldx, float* ferr,
+                    float* berr, float* work, lapack_int* iwork,
+                    lapack_int *info );
+void LAPACK_dgerfs( char* trans, lapack_int* n, lapack_int* nrhs,
+                    const double* a, lapack_int* lda, const double* af,
+                    lapack_int* ldaf, const lapack_int* ipiv, const double* b,
+                    lapack_int* ldb, double* x, lapack_int* ldx, double* ferr,
+                    double* berr, double* work, lapack_int* iwork,
+                    lapack_int *info );
+void LAPACK_cgerfs( char* trans, lapack_int* n, lapack_int* nrhs,
+                    const lapack_complex_float* a, lapack_int* lda,
+                    const lapack_complex_float* af, lapack_int* ldaf,
+                    const lapack_int* ipiv, const lapack_complex_float* b,
+                    lapack_int* ldb, lapack_complex_float* x, lapack_int* ldx,
+                    float* ferr, float* berr, lapack_complex_float* work,
+                    float* rwork, lapack_int *info );
+void LAPACK_zgerfs( char* trans, lapack_int* n, lapack_int* nrhs,
+                    const lapack_complex_double* a, lapack_int* lda,
+                    const lapack_complex_double* af, lapack_int* ldaf,
+                    const lapack_int* ipiv, const lapack_complex_double* b,
+                    lapack_int* ldb, lapack_complex_double* x, lapack_int* ldx,
+                    double* ferr, double* berr, lapack_complex_double* work,
+                    double* rwork, lapack_int *info );
+void LAPACK_dgerfsx( char* trans, char* equed, lapack_int* n, lapack_int* nrhs,
+                     const double* a, lapack_int* lda, const double* af,
+                     lapack_int* ldaf, const lapack_int* ipiv, const double* r,
+                     const double* c, const double* b, lapack_int* ldb,
+                     double* x, lapack_int* ldx, double* rcond, double* berr,
+                     lapack_int* n_err_bnds, double* err_bnds_norm,
+                     double* err_bnds_comp, lapack_int* nparams, double* params,
+                     double* work, lapack_int* iwork, lapack_int *info );
+void LAPACK_sgerfsx( char* trans, char* equed, lapack_int* n, lapack_int* nrhs,
+                     const float* a, lapack_int* lda, const float* af,
+                     lapack_int* ldaf, const lapack_int* ipiv, const float* r,
+                     const float* c, const float* b, lapack_int* ldb, float* x,
+                     lapack_int* ldx, float* rcond, float* berr,
+                     lapack_int* n_err_bnds, float* err_bnds_norm,
+                     float* err_bnds_comp, lapack_int* nparams, float* params,
+                     float* work, lapack_int* iwork, lapack_int *info );
+void LAPACK_zgerfsx( char* trans, char* equed, lapack_int* n, lapack_int* nrhs,
+                     const lapack_complex_double* a, lapack_int* lda,
+                     const lapack_complex_double* af, lapack_int* ldaf,
+                     const lapack_int* ipiv, const double* r, const double* c,
+                     const lapack_complex_double* b, lapack_int* ldb,
+                     lapack_complex_double* x, lapack_int* ldx, double* rcond,
+                     double* berr, lapack_int* n_err_bnds,
+                     double* err_bnds_norm, double* err_bnds_comp,
+                     lapack_int* nparams, double* params,
+                     lapack_complex_double* work, double* rwork,
+                     lapack_int *info );
+void LAPACK_cgerfsx( char* trans, char* equed, lapack_int* n, lapack_int* nrhs,
+                     const lapack_complex_float* a, lapack_int* lda,
+                     const lapack_complex_float* af, lapack_int* ldaf,
+                     const lapack_int* ipiv, const float* r, const float* c,
+                     const lapack_complex_float* b, lapack_int* ldb,
+                     lapack_complex_float* x, lapack_int* ldx, float* rcond,
+                     float* berr, lapack_int* n_err_bnds, float* err_bnds_norm,
+                     float* err_bnds_comp, lapack_int* nparams, float* params,
+                     lapack_complex_float* work, float* rwork,
+                     lapack_int *info );
+void LAPACK_sgbrfs( char* trans, lapack_int* n, lapack_int* kl, lapack_int* ku,
+                    lapack_int* nrhs, const float* ab, lapack_int* ldab,
+                    const float* afb, lapack_int* ldafb, const lapack_int* ipiv,
+                    const float* b, lapack_int* ldb, float* x, lapack_int* ldx,
+                    float* ferr, float* berr, float* work, lapack_int* iwork,
+                    lapack_int *info );
+void LAPACK_dgbrfs( char* trans, lapack_int* n, lapack_int* kl, lapack_int* ku,
+                    lapack_int* nrhs, const double* ab, lapack_int* ldab,
+                    const double* afb, lapack_int* ldafb,
+                    const lapack_int* ipiv, const double* b, lapack_int* ldb,
+                    double* x, lapack_int* ldx, double* ferr, double* berr,
+                    double* work, lapack_int* iwork, lapack_int *info );
+void LAPACK_cgbrfs( char* trans, lapack_int* n, lapack_int* kl, lapack_int* ku,
+                    lapack_int* nrhs, const lapack_complex_float* ab,
+                    lapack_int* ldab, const lapack_complex_float* afb,
+                    lapack_int* ldafb, const lapack_int* ipiv,
+                    const lapack_complex_float* b, lapack_int* ldb,
+                    lapack_complex_float* x, lapack_int* ldx, float* ferr,
+                    float* berr, lapack_complex_float* work, float* rwork,
+                    lapack_int *info );
+void LAPACK_zgbrfs( char* trans, lapack_int* n, lapack_int* kl, lapack_int* ku,
+                    lapack_int* nrhs, const lapack_complex_double* ab,
+                    lapack_int* ldab, const lapack_complex_double* afb,
+                    lapack_int* ldafb, const lapack_int* ipiv,
+                    const lapack_complex_double* b, lapack_int* ldb,
+                    lapack_complex_double* x, lapack_int* ldx, double* ferr,
+                    double* berr, lapack_complex_double* work, double* rwork,
+                    lapack_int *info );
+void LAPACK_dgbrfsx( char* trans, char* equed, lapack_int* n, lapack_int* kl,
+                     lapack_int* ku, lapack_int* nrhs, const double* ab,
+                     lapack_int* ldab, const double* afb, lapack_int* ldafb,
+                     const lapack_int* ipiv, const double* r, const double* c,
+                     const double* b, lapack_int* ldb, double* x,
+                     lapack_int* ldx, double* rcond, double* berr,
+                     lapack_int* n_err_bnds, double* err_bnds_norm,
+                     double* err_bnds_comp, lapack_int* nparams, double* params,
+                     double* work, lapack_int* iwork, lapack_int *info );
+void LAPACK_sgbrfsx( char* trans, char* equed, lapack_int* n, lapack_int* kl,
+                     lapack_int* ku, lapack_int* nrhs, const float* ab,
+                     lapack_int* ldab, const float* afb, lapack_int* ldafb,
+                     const lapack_int* ipiv, const float* r, const float* c,
+                     const float* b, lapack_int* ldb, float* x, lapack_int* ldx,
+                     float* rcond, float* berr, lapack_int* n_err_bnds,
+                     float* err_bnds_norm, float* err_bnds_comp,
+                     lapack_int* nparams, float* params, float* work,
+                     lapack_int* iwork, lapack_int *info );
+void LAPACK_zgbrfsx( char* trans, char* equed, lapack_int* n, lapack_int* kl,
+                     lapack_int* ku, lapack_int* nrhs,
+                     const lapack_complex_double* ab, lapack_int* ldab,
+                     const lapack_complex_double* afb, lapack_int* ldafb,
+                     const lapack_int* ipiv, const double* r, const double* c,
+                     const lapack_complex_double* b, lapack_int* ldb,
+                     lapack_complex_double* x, lapack_int* ldx, double* rcond,
+                     double* berr, lapack_int* n_err_bnds,
+                     double* err_bnds_norm, double* err_bnds_comp,
+                     lapack_int* nparams, double* params,
+                     lapack_complex_double* work, double* rwork,
+                     lapack_int *info );
+void LAPACK_cgbrfsx( char* trans, char* equed, lapack_int* n, lapack_int* kl,
+                     lapack_int* ku, lapack_int* nrhs,
+                     const lapack_complex_float* ab, lapack_int* ldab,
+                     const lapack_complex_float* afb, lapack_int* ldafb,
+                     const lapack_int* ipiv, const float* r, const float* c,
+                     const lapack_complex_float* b, lapack_int* ldb,
+                     lapack_complex_float* x, lapack_int* ldx, float* rcond,
+                     float* berr, lapack_int* n_err_bnds, float* err_bnds_norm,
+                     float* err_bnds_comp, lapack_int* nparams, float* params,
+                     lapack_complex_float* work, float* rwork,
+                     lapack_int *info );
+void LAPACK_sgtrfs( char* trans, lapack_int* n, lapack_int* nrhs,
+                    const float* dl, const float* d, const float* du,
+                    const float* dlf, const float* df, const float* duf,
+                    const float* du2, const lapack_int* ipiv, const float* b,
+                    lapack_int* ldb, float* x, lapack_int* ldx, float* ferr,
+                    float* berr, float* work, lapack_int* iwork,
+                    lapack_int *info );
+void LAPACK_dgtrfs( char* trans, lapack_int* n, lapack_int* nrhs,
+                    const double* dl, const double* d, const double* du,
+                    const double* dlf, const double* df, const double* duf,
+                    const double* du2, const lapack_int* ipiv, const double* b,
+                    lapack_int* ldb, double* x, lapack_int* ldx, double* ferr,
+                    double* berr, double* work, lapack_int* iwork,
+                    lapack_int *info );
+void LAPACK_cgtrfs( char* trans, lapack_int* n, lapack_int* nrhs,
+                    const lapack_complex_float* dl,
+                    const lapack_complex_float* d,
+                    const lapack_complex_float* du,
+                    const lapack_complex_float* dlf,
+                    const lapack_complex_float* df,
+                    const lapack_complex_float* duf,
+                    const lapack_complex_float* du2, const lapack_int* ipiv,
+                    const lapack_complex_float* b, lapack_int* ldb,
+                    lapack_complex_float* x, lapack_int* ldx, float* ferr,
+                    float* berr, lapack_complex_float* work, float* rwork,
+                    lapack_int *info );
+void LAPACK_zgtrfs( char* trans, lapack_int* n, lapack_int* nrhs,
+                    const lapack_complex_double* dl,
+                    const lapack_complex_double* d,
+                    const lapack_complex_double* du,
+                    const lapack_complex_double* dlf,
+                    const lapack_complex_double* df,
+                    const lapack_complex_double* duf,
+                    const lapack_complex_double* du2, const lapack_int* ipiv,
+                    const lapack_complex_double* b, lapack_int* ldb,
+                    lapack_complex_double* x, lapack_int* ldx, double* ferr,
+                    double* berr, lapack_complex_double* work, double* rwork,
+                    lapack_int *info );
+void LAPACK_sporfs( char* uplo, lapack_int* n, lapack_int* nrhs, const float* a,
+                    lapack_int* lda, const float* af, lapack_int* ldaf,
+                    const float* b, lapack_int* ldb, float* x, lapack_int* ldx,
+                    float* ferr, float* berr, float* work, lapack_int* iwork,
+                    lapack_int *info );
+void LAPACK_dporfs( char* uplo, lapack_int* n, lapack_int* nrhs,
+                    const double* a, lapack_int* lda, const double* af,
+                    lapack_int* ldaf, const double* b, lapack_int* ldb,
+                    double* x, lapack_int* ldx, double* ferr, double* berr,
+                    double* work, lapack_int* iwork, lapack_int *info );
+void LAPACK_cporfs( char* uplo, lapack_int* n, lapack_int* nrhs,
+                    const lapack_complex_float* a, lapack_int* lda,
+                    const lapack_complex_float* af, lapack_int* ldaf,
+                    const lapack_complex_float* b, lapack_int* ldb,
+                    lapack_complex_float* x, lapack_int* ldx, float* ferr,
+                    float* berr, lapack_complex_float* work, float* rwork,
+                    lapack_int *info );
+void LAPACK_zporfs( char* uplo, lapack_int* n, lapack_int* nrhs,
+                    const lapack_complex_double* a, lapack_int* lda,
+                    const lapack_complex_double* af, lapack_int* ldaf,
+                    const lapack_complex_double* b, lapack_int* ldb,
+                    lapack_complex_double* x, lapack_int* ldx, double* ferr,
+                    double* berr, lapack_complex_double* work, double* rwork,
+                    lapack_int *info );
+void LAPACK_dporfsx( char* uplo, char* equed, lapack_int* n, lapack_int* nrhs,
+                     const double* a, lapack_int* lda, const double* af,
+                     lapack_int* ldaf, const double* s, const double* b,
+                     lapack_int* ldb, double* x, lapack_int* ldx, double* rcond,
+                     double* berr, lapack_int* n_err_bnds,
+                     double* err_bnds_norm, double* err_bnds_comp,
+                     lapack_int* nparams, double* params, double* work,
+                     lapack_int* iwork, lapack_int *info );
+void LAPACK_sporfsx( char* uplo, char* equed, lapack_int* n, lapack_int* nrhs,
+                     const float* a, lapack_int* lda, const float* af,
+                     lapack_int* ldaf, const float* s, const float* b,
+                     lapack_int* ldb, float* x, lapack_int* ldx, float* rcond,
+                     float* berr, lapack_int* n_err_bnds, float* err_bnds_norm,
+                     float* err_bnds_comp, lapack_int* nparams, float* params,
+                     float* work, lapack_int* iwork, lapack_int *info );
+void LAPACK_zporfsx( char* uplo, char* equed, lapack_int* n, lapack_int* nrhs,
+                     const lapack_complex_double* a, lapack_int* lda,
+                     const lapack_complex_double* af, lapack_int* ldaf,
+                     const double* s, const lapack_complex_double* b,
+                     lapack_int* ldb, lapack_complex_double* x, lapack_int* ldx,
+                     double* rcond, double* berr, lapack_int* n_err_bnds,
+                     double* err_bnds_norm, double* err_bnds_comp,
+                     lapack_int* nparams, double* params,
+                     lapack_complex_double* work, double* rwork,
+                     lapack_int *info );
+void LAPACK_cporfsx( char* uplo, char* equed, lapack_int* n, lapack_int* nrhs,
+                     const lapack_complex_float* a, lapack_int* lda,
+                     const lapack_complex_float* af, lapack_int* ldaf,
+                     const float* s, const lapack_complex_float* b,
+                     lapack_int* ldb, lapack_complex_float* x, lapack_int* ldx,
+                     float* rcond, float* berr, lapack_int* n_err_bnds,
+                     float* err_bnds_norm, float* err_bnds_comp,
+                     lapack_int* nparams, float* params,
+                     lapack_complex_float* work, float* rwork,
+                     lapack_int *info );
+void LAPACK_spprfs( char* uplo, lapack_int* n, lapack_int* nrhs,
+                    const float* ap, const float* afp, const float* b,
+                    lapack_int* ldb, float* x, lapack_int* ldx, float* ferr,
+                    float* berr, float* work, lapack_int* iwork,
+                    lapack_int *info );
+void LAPACK_dpprfs( char* uplo, lapack_int* n, lapack_int* nrhs,
+                    const double* ap, const double* afp, const double* b,
+                    lapack_int* ldb, double* x, lapack_int* ldx, double* ferr,
+                    double* berr, double* work, lapack_int* iwork,
+                    lapack_int *info );
+void LAPACK_cpprfs( char* uplo, lapack_int* n, lapack_int* nrhs,
+                    const lapack_complex_float* ap,
+                    const lapack_complex_float* afp,
+                    const lapack_complex_float* b, lapack_int* ldb,
+                    lapack_complex_float* x, lapack_int* ldx, float* ferr,
+                    float* berr, lapack_complex_float* work, float* rwork,
+                    lapack_int *info );
+void LAPACK_zpprfs( char* uplo, lapack_int* n, lapack_int* nrhs,
+                    const lapack_complex_double* ap,
+                    const lapack_complex_double* afp,
+                    const lapack_complex_double* b, lapack_int* ldb,
+                    lapack_complex_double* x, lapack_int* ldx, double* ferr,
+                    double* berr, lapack_complex_double* work, double* rwork,
+                    lapack_int *info );
+void LAPACK_spbrfs( char* uplo, lapack_int* n, lapack_int* kd, lapack_int* nrhs,
+                    const float* ab, lapack_int* ldab, const float* afb,
+                    lapack_int* ldafb, const float* b, lapack_int* ldb,
+                    float* x, lapack_int* ldx, float* ferr, float* berr,
+                    float* work, lapack_int* iwork, lapack_int *info );
+void LAPACK_dpbrfs( char* uplo, lapack_int* n, lapack_int* kd, lapack_int* nrhs,
+                    const double* ab, lapack_int* ldab, const double* afb,
+                    lapack_int* ldafb, const double* b, lapack_int* ldb,
+                    double* x, lapack_int* ldx, double* ferr, double* berr,
+                    double* work, lapack_int* iwork, lapack_int *info );
+void LAPACK_cpbrfs( char* uplo, lapack_int* n, lapack_int* kd, lapack_int* nrhs,
+                    const lapack_complex_float* ab, lapack_int* ldab,
+                    const lapack_complex_float* afb, lapack_int* ldafb,
+                    const lapack_complex_float* b, lapack_int* ldb,
+                    lapack_complex_float* x, lapack_int* ldx, float* ferr,
+                    float* berr, lapack_complex_float* work, float* rwork,
+                    lapack_int *info );
+void LAPACK_zpbrfs( char* uplo, lapack_int* n, lapack_int* kd, lapack_int* nrhs,
+                    const lapack_complex_double* ab, lapack_int* ldab,
+                    const lapack_complex_double* afb, lapack_int* ldafb,
+                    const lapack_complex_double* b, lapack_int* ldb,
+                    lapack_complex_double* x, lapack_int* ldx, double* ferr,
+                    double* berr, lapack_complex_double* work, double* rwork,
+                    lapack_int *info );
+void LAPACK_sptrfs( lapack_int* n, lapack_int* nrhs, const float* d,
+                    const float* e, const float* df, const float* ef,
+                    const float* b, lapack_int* ldb, float* x, lapack_int* ldx,
+                    float* ferr, float* berr, float* work, lapack_int *info );
+void LAPACK_dptrfs( lapack_int* n, lapack_int* nrhs, const double* d,
+                    const double* e, const double* df, const double* ef,
+                    const double* b, lapack_int* ldb, double* x,
+                    lapack_int* ldx, double* ferr, double* berr, double* work,
+                    lapack_int *info );
+void LAPACK_cptrfs( char* uplo, lapack_int* n, lapack_int* nrhs, const float* d,
+                    const lapack_complex_float* e, const float* df,
+                    const lapack_complex_float* ef,
+                    const lapack_complex_float* b, lapack_int* ldb,
+                    lapack_complex_float* x, lapack_int* ldx, float* ferr,
+                    float* berr, lapack_complex_float* work, float* rwork,
+                    lapack_int *info );
+void LAPACK_zptrfs( char* uplo, lapack_int* n, lapack_int* nrhs,
+                    const double* d, const lapack_complex_double* e,
+                    const double* df, const lapack_complex_double* ef,
+                    const lapack_complex_double* b, lapack_int* ldb,
+                    lapack_complex_double* x, lapack_int* ldx, double* ferr,
+                    double* berr, lapack_complex_double* work, double* rwork,
+                    lapack_int *info );
+void LAPACK_ssyrfs( char* uplo, lapack_int* n, lapack_int* nrhs, const float* a,
+                    lapack_int* lda, const float* af, lapack_int* ldaf,
+                    const lapack_int* ipiv, const float* b, lapack_int* ldb,
+                    float* x, lapack_int* ldx, float* ferr, float* berr,
+                    float* work, lapack_int* iwork, lapack_int *info );
+void LAPACK_dsyrfs( char* uplo, lapack_int* n, lapack_int* nrhs,
+                    const double* a, lapack_int* lda, const double* af,
+                    lapack_int* ldaf, const lapack_int* ipiv, const double* b,
+                    lapack_int* ldb, double* x, lapack_int* ldx, double* ferr,
+                    double* berr, double* work, lapack_int* iwork,
+                    lapack_int *info );
+void LAPACK_csyrfs( char* uplo, lapack_int* n, lapack_int* nrhs,
+                    const lapack_complex_float* a, lapack_int* lda,
+                    const lapack_complex_float* af, lapack_int* ldaf,
+                    const lapack_int* ipiv, const lapack_complex_float* b,
+                    lapack_int* ldb, lapack_complex_float* x, lapack_int* ldx,
+                    float* ferr, float* berr, lapack_complex_float* work,
+                    float* rwork, lapack_int *info );
+void LAPACK_zsyrfs( char* uplo, lapack_int* n, lapack_int* nrhs,
+                    const lapack_complex_double* a, lapack_int* lda,
+                    const lapack_complex_double* af, lapack_int* ldaf,
+                    const lapack_int* ipiv, const lapack_complex_double* b,
+                    lapack_int* ldb, lapack_complex_double* x, lapack_int* ldx,
+                    double* ferr, double* berr, lapack_complex_double* work,
+                    double* rwork, lapack_int *info );
+void LAPACK_dsyrfsx( char* uplo, char* equed, lapack_int* n, lapack_int* nrhs,
+                     const double* a, lapack_int* lda, const double* af,
+                     lapack_int* ldaf, const lapack_int* ipiv, const double* s,
+                     const double* b, lapack_int* ldb, double* x,
+                     lapack_int* ldx, double* rcond, double* berr,
+                     lapack_int* n_err_bnds, double* err_bnds_norm,
+                     double* err_bnds_comp, lapack_int* nparams, double* params,
+                     double* work, lapack_int* iwork, lapack_int *info );
+void LAPACK_ssyrfsx( char* uplo, char* equed, lapack_int* n, lapack_int* nrhs,
+                     const float* a, lapack_int* lda, const float* af,
+                     lapack_int* ldaf, const lapack_int* ipiv, const float* s,
+                     const float* b, lapack_int* ldb, float* x, lapack_int* ldx,
+                     float* rcond, float* berr, lapack_int* n_err_bnds,
+                     float* err_bnds_norm, float* err_bnds_comp,
+                     lapack_int* nparams, float* params, float* work,
+                     lapack_int* iwork, lapack_int *info );
+void LAPACK_zsyrfsx( char* uplo, char* equed, lapack_int* n, lapack_int* nrhs,
+                     const lapack_complex_double* a, lapack_int* lda,
+                     const lapack_complex_double* af, lapack_int* ldaf,
+                     const lapack_int* ipiv, const double* s,
+                     const lapack_complex_double* b, lapack_int* ldb,
+                     lapack_complex_double* x, lapack_int* ldx, double* rcond,
+                     double* berr, lapack_int* n_err_bnds,
+                     double* err_bnds_norm, double* err_bnds_comp,
+                     lapack_int* nparams, double* params,
+                     lapack_complex_double* work, double* rwork,
+                     lapack_int *info );
+void LAPACK_csyrfsx( char* uplo, char* equed, lapack_int* n, lapack_int* nrhs,
+                     const lapack_complex_float* a, lapack_int* lda,
+                     const lapack_complex_float* af, lapack_int* ldaf,
+                     const lapack_int* ipiv, const float* s,
+                     const lapack_complex_float* b, lapack_int* ldb,
+                     lapack_complex_float* x, lapack_int* ldx, float* rcond,
+                     float* berr, lapack_int* n_err_bnds, float* err_bnds_norm,
+                     float* err_bnds_comp, lapack_int* nparams, float* params,
+                     lapack_complex_float* work, float* rwork,
+                     lapack_int *info );
+void LAPACK_cherfs( char* uplo, lapack_int* n, lapack_int* nrhs,
+                    const lapack_complex_float* a, lapack_int* lda,
+                    const lapack_complex_float* af, lapack_int* ldaf,
+                    const lapack_int* ipiv, const lapack_complex_float* b,
+                    lapack_int* ldb, lapack_complex_float* x, lapack_int* ldx,
+                    float* ferr, float* berr, lapack_complex_float* work,
+                    float* rwork, lapack_int *info );
+void LAPACK_zherfs( char* uplo, lapack_int* n, lapack_int* nrhs,
+                    const lapack_complex_double* a, lapack_int* lda,
+                    const lapack_complex_double* af, lapack_int* ldaf,
+                    const lapack_int* ipiv, const lapack_complex_double* b,
+                    lapack_int* ldb, lapack_complex_double* x, lapack_int* ldx,
+                    double* ferr, double* berr, lapack_complex_double* work,
+                    double* rwork, lapack_int *info );
+void LAPACK_zherfsx( char* uplo, char* equed, lapack_int* n, lapack_int* nrhs,
+                     const lapack_complex_double* a, lapack_int* lda,
+                     const lapack_complex_double* af, lapack_int* ldaf,
+                     const lapack_int* ipiv, const double* s,
+                     const lapack_complex_double* b, lapack_int* ldb,
+                     lapack_complex_double* x, lapack_int* ldx, double* rcond,
+                     double* berr, lapack_int* n_err_bnds,
+                     double* err_bnds_norm, double* err_bnds_comp,
+                     lapack_int* nparams, double* params,
+                     lapack_complex_double* work, double* rwork,
+                     lapack_int *info );
+void LAPACK_cherfsx( char* uplo, char* equed, lapack_int* n, lapack_int* nrhs,
+                     const lapack_complex_float* a, lapack_int* lda,
+                     const lapack_complex_float* af, lapack_int* ldaf,
+                     const lapack_int* ipiv, const float* s,
+                     const lapack_complex_float* b, lapack_int* ldb,
+                     lapack_complex_float* x, lapack_int* ldx, float* rcond,
+                     float* berr, lapack_int* n_err_bnds, float* err_bnds_norm,
+                     float* err_bnds_comp, lapack_int* nparams, float* params,
+                     lapack_complex_float* work, float* rwork,
+                     lapack_int *info );
+void LAPACK_ssprfs( char* uplo, lapack_int* n, lapack_int* nrhs,
+                    const float* ap, const float* afp, const lapack_int* ipiv,
+                    const float* b, lapack_int* ldb, float* x, lapack_int* ldx,
+                    float* ferr, float* berr, float* work, lapack_int* iwork,
+                    lapack_int *info );
+void LAPACK_dsprfs( char* uplo, lapack_int* n, lapack_int* nrhs,
+                    const double* ap, const double* afp, const lapack_int* ipiv,
+                    const double* b, lapack_int* ldb, double* x,
+                    lapack_int* ldx, double* ferr, double* berr, double* work,
+                    lapack_int* iwork, lapack_int *info );
+void LAPACK_csprfs( char* uplo, lapack_int* n, lapack_int* nrhs,
+                    const lapack_complex_float* ap,
+                    const lapack_complex_float* afp, const lapack_int* ipiv,
+                    const lapack_complex_float* b, lapack_int* ldb,
+                    lapack_complex_float* x, lapack_int* ldx, float* ferr,
+                    float* berr, lapack_complex_float* work, float* rwork,
+                    lapack_int *info );
+void LAPACK_zsprfs( char* uplo, lapack_int* n, lapack_int* nrhs,
+                    const lapack_complex_double* ap,
+                    const lapack_complex_double* afp, const lapack_int* ipiv,
+                    const lapack_complex_double* b, lapack_int* ldb,
+                    lapack_complex_double* x, lapack_int* ldx, double* ferr,
+                    double* berr, lapack_complex_double* work, double* rwork,
+                    lapack_int *info );
+void LAPACK_chprfs( char* uplo, lapack_int* n, lapack_int* nrhs,
+                    const lapack_complex_float* ap,
+                    const lapack_complex_float* afp, const lapack_int* ipiv,
+                    const lapack_complex_float* b, lapack_int* ldb,
+                    lapack_complex_float* x, lapack_int* ldx, float* ferr,
+                    float* berr, lapack_complex_float* work, float* rwork,
+                    lapack_int *info );
+void LAPACK_zhprfs( char* uplo, lapack_int* n, lapack_int* nrhs,
+                    const lapack_complex_double* ap,
+                    const lapack_complex_double* afp, const lapack_int* ipiv,
+                    const lapack_complex_double* b, lapack_int* ldb,
+                    lapack_complex_double* x, lapack_int* ldx, double* ferr,
+                    double* berr, lapack_complex_double* work, double* rwork,
+                    lapack_int *info );
+void LAPACK_strrfs( char* uplo, char* trans, char* diag, lapack_int* n,
+                    lapack_int* nrhs, const float* a, lapack_int* lda,
+                    const float* b, lapack_int* ldb, const float* x,
+                    lapack_int* ldx, float* ferr, float* berr, float* work,
+                    lapack_int* iwork, lapack_int *info );
+void LAPACK_dtrrfs( char* uplo, char* trans, char* diag, lapack_int* n,
+                    lapack_int* nrhs, const double* a, lapack_int* lda,
+                    const double* b, lapack_int* ldb, const double* x,
+                    lapack_int* ldx, double* ferr, double* berr, double* work,
+                    lapack_int* iwork, lapack_int *info );
+void LAPACK_ctrrfs( char* uplo, char* trans, char* diag, lapack_int* n,
+                    lapack_int* nrhs, const lapack_complex_float* a,
+                    lapack_int* lda, const lapack_complex_float* b,
+                    lapack_int* ldb, const lapack_complex_float* x,
+                    lapack_int* ldx, float* ferr, float* berr,
+                    lapack_complex_float* work, float* rwork,
+                    lapack_int *info );
+void LAPACK_ztrrfs( char* uplo, char* trans, char* diag, lapack_int* n,
+                    lapack_int* nrhs, const lapack_complex_double* a,
+                    lapack_int* lda, const lapack_complex_double* b,
+                    lapack_int* ldb, const lapack_complex_double* x,
+                    lapack_int* ldx, double* ferr, double* berr,
+                    lapack_complex_double* work, double* rwork,
+                    lapack_int *info );
+void LAPACK_stprfs( char* uplo, char* trans, char* diag, lapack_int* n,
+                    lapack_int* nrhs, const float* ap, const float* b,
+                    lapack_int* ldb, const float* x, lapack_int* ldx,
+                    float* ferr, float* berr, float* work, lapack_int* iwork,
+                    lapack_int *info );
+void LAPACK_dtprfs( char* uplo, char* trans, char* diag, lapack_int* n,
+                    lapack_int* nrhs, const double* ap, const double* b,
+                    lapack_int* ldb, const double* x, lapack_int* ldx,
+                    double* ferr, double* berr, double* work, lapack_int* iwork,
+                    lapack_int *info );
+void LAPACK_ctprfs( char* uplo, char* trans, char* diag, lapack_int* n,
+                    lapack_int* nrhs, const lapack_complex_float* ap,
+                    const lapack_complex_float* b, lapack_int* ldb,
+                    const lapack_complex_float* x, lapack_int* ldx, float* ferr,
+                    float* berr, lapack_complex_float* work, float* rwork,
+                    lapack_int *info );
+void LAPACK_ztprfs( char* uplo, char* trans, char* diag, lapack_int* n,
+                    lapack_int* nrhs, const lapack_complex_double* ap,
+                    const lapack_complex_double* b, lapack_int* ldb,
+                    const lapack_complex_double* x, lapack_int* ldx,
+                    double* ferr, double* berr, lapack_complex_double* work,
+                    double* rwork, lapack_int *info );
+void LAPACK_stbrfs( char* uplo, char* trans, char* diag, lapack_int* n,
+                    lapack_int* kd, lapack_int* nrhs, const float* ab,
+                    lapack_int* ldab, const float* b, lapack_int* ldb,
+                    const float* x, lapack_int* ldx, float* ferr, float* berr,
+                    float* work, lapack_int* iwork, lapack_int *info );
+void LAPACK_dtbrfs( char* uplo, char* trans, char* diag, lapack_int* n,
+                    lapack_int* kd, lapack_int* nrhs, const double* ab,
+                    lapack_int* ldab, const double* b, lapack_int* ldb,
+                    const double* x, lapack_int* ldx, double* ferr,
+                    double* berr, double* work, lapack_int* iwork,
+                    lapack_int *info );
+void LAPACK_ctbrfs( char* uplo, char* trans, char* diag, lapack_int* n,
+                    lapack_int* kd, lapack_int* nrhs,
+                    const lapack_complex_float* ab, lapack_int* ldab,
+                    const lapack_complex_float* b, lapack_int* ldb,
+                    const lapack_complex_float* x, lapack_int* ldx, float* ferr,
+                    float* berr, lapack_complex_float* work, float* rwork,
+                    lapack_int *info );
+void LAPACK_ztbrfs( char* uplo, char* trans, char* diag, lapack_int* n,
+                    lapack_int* kd, lapack_int* nrhs,
+                    const lapack_complex_double* ab, lapack_int* ldab,
+                    const lapack_complex_double* b, lapack_int* ldb,
+                    const lapack_complex_double* x, lapack_int* ldx,
+                    double* ferr, double* berr, lapack_complex_double* work,
+                    double* rwork, lapack_int *info );
+void LAPACK_sgetri( lapack_int* n, float* a, lapack_int* lda,
+                    const lapack_int* ipiv, float* work, lapack_int* lwork,
+                    lapack_int *info );
+void LAPACK_dgetri( lapack_int* n, double* a, lapack_int* lda,
+                    const lapack_int* ipiv, double* work, lapack_int* lwork,
+                    lapack_int *info );
+void LAPACK_cgetri( lapack_int* n, lapack_complex_float* a, lapack_int* lda,
+                    const lapack_int* ipiv, lapack_complex_float* work,
+                    lapack_int* lwork, lapack_int *info );
+void LAPACK_zgetri( lapack_int* n, lapack_complex_double* a, lapack_int* lda,
+                    const lapack_int* ipiv, lapack_complex_double* work,
+                    lapack_int* lwork, lapack_int *info );
+void LAPACK_spotri( char* uplo, lapack_int* n, float* a, lapack_int* lda,
+                    lapack_int *info );
+void LAPACK_dpotri( char* uplo, lapack_int* n, double* a, lapack_int* lda,
+                    lapack_int *info );
+void LAPACK_cpotri( char* uplo, lapack_int* n, lapack_complex_float* a,
+                    lapack_int* lda, lapack_int *info );
+void LAPACK_zpotri( char* uplo, lapack_int* n, lapack_complex_double* a,
+                    lapack_int* lda, lapack_int *info );
+void LAPACK_dpftri( char* transr, char* uplo, lapack_int* n, double* a,
+                    lapack_int *info );
+void LAPACK_spftri( char* transr, char* uplo, lapack_int* n, float* a,
+                    lapack_int *info );
+void LAPACK_zpftri( char* transr, char* uplo, lapack_int* n,
+                    lapack_complex_double* a, lapack_int *info );
+void LAPACK_cpftri( char* transr, char* uplo, lapack_int* n,
+                    lapack_complex_float* a, lapack_int *info );
+void LAPACK_spptri( char* uplo, lapack_int* n, float* ap, lapack_int *info );
+void LAPACK_dpptri( char* uplo, lapack_int* n, double* ap, lapack_int *info );
+void LAPACK_cpptri( char* uplo, lapack_int* n, lapack_complex_float* ap,
+                    lapack_int *info );
+void LAPACK_zpptri( char* uplo, lapack_int* n, lapack_complex_double* ap,
+                    lapack_int *info );
+void LAPACK_ssytri( char* uplo, lapack_int* n, float* a, lapack_int* lda,
+                    const lapack_int* ipiv, float* work, lapack_int *info );
+void LAPACK_dsytri( char* uplo, lapack_int* n, double* a, lapack_int* lda,
+                    const lapack_int* ipiv, double* work, lapack_int *info );
+void LAPACK_csytri( char* uplo, lapack_int* n, lapack_complex_float* a,
+                    lapack_int* lda, const lapack_int* ipiv,
+                    lapack_complex_float* work, lapack_int *info );
+void LAPACK_zsytri( char* uplo, lapack_int* n, lapack_complex_double* a,
+                    lapack_int* lda, const lapack_int* ipiv,
+                    lapack_complex_double* work, lapack_int *info );
+void LAPACK_chetri( char* uplo, lapack_int* n, lapack_complex_float* a,
+                    lapack_int* lda, const lapack_int* ipiv,
+                    lapack_complex_float* work, lapack_int *info );
+void LAPACK_zhetri( char* uplo, lapack_int* n, lapack_complex_double* a,
+                    lapack_int* lda, const lapack_int* ipiv,
+                    lapack_complex_double* work, lapack_int *info );
+void LAPACK_ssptri( char* uplo, lapack_int* n, float* ap,
+                    const lapack_int* ipiv, float* work, lapack_int *info );
+void LAPACK_dsptri( char* uplo, lapack_int* n, double* ap,
+                    const lapack_int* ipiv, double* work, lapack_int *info );
+void LAPACK_csptri( char* uplo, lapack_int* n, lapack_complex_float* ap,
+                    const lapack_int* ipiv, lapack_complex_float* work,
+                    lapack_int *info );
+void LAPACK_zsptri( char* uplo, lapack_int* n, lapack_complex_double* ap,
+                    const lapack_int* ipiv, lapack_complex_double* work,
+                    lapack_int *info );
+void LAPACK_chptri( char* uplo, lapack_int* n, lapack_complex_float* ap,
+                    const lapack_int* ipiv, lapack_complex_float* work,
+                    lapack_int *info );
+void LAPACK_zhptri( char* uplo, lapack_int* n, lapack_complex_double* ap,
+                    const lapack_int* ipiv, lapack_complex_double* work,
+                    lapack_int *info );
+void LAPACK_strtri( char* uplo, char* diag, lapack_int* n, float* a,
+                    lapack_int* lda, lapack_int *info );
+void LAPACK_dtrtri( char* uplo, char* diag, lapack_int* n, double* a,
+                    lapack_int* lda, lapack_int *info );
+void LAPACK_ctrtri( char* uplo, char* diag, lapack_int* n,
+                    lapack_complex_float* a, lapack_int* lda,
+                    lapack_int *info );
+void LAPACK_ztrtri( char* uplo, char* diag, lapack_int* n,
+                    lapack_complex_double* a, lapack_int* lda,
+                    lapack_int *info );
+void LAPACK_dtftri( char* transr, char* uplo, char* diag, lapack_int* n,
+                    double* a, lapack_int *info );
+void LAPACK_stftri( char* transr, char* uplo, char* diag, lapack_int* n,
+                    float* a, lapack_int *info );
+void LAPACK_ztftri( char* transr, char* uplo, char* diag, lapack_int* n,
+                    lapack_complex_double* a, lapack_int *info );
+void LAPACK_ctftri( char* transr, char* uplo, char* diag, lapack_int* n,
+                    lapack_complex_float* a, lapack_int *info );
+void LAPACK_stptri( char* uplo, char* diag, lapack_int* n, float* ap,
+                    lapack_int *info );
+void LAPACK_dtptri( char* uplo, char* diag, lapack_int* n, double* ap,
+                    lapack_int *info );
+void LAPACK_ctptri( char* uplo, char* diag, lapack_int* n,
+                    lapack_complex_float* ap, lapack_int *info );
+void LAPACK_ztptri( char* uplo, char* diag, lapack_int* n,
+                    lapack_complex_double* ap, lapack_int *info );
+void LAPACK_sgeequ( lapack_int* m, lapack_int* n, const float* a,
+                    lapack_int* lda, float* r, float* c, float* rowcnd,
+                    float* colcnd, float* amax, lapack_int *info );
+void LAPACK_dgeequ( lapack_int* m, lapack_int* n, const double* a,
+                    lapack_int* lda, double* r, double* c, double* rowcnd,
+                    double* colcnd, double* amax, lapack_int *info );
+void LAPACK_cgeequ( lapack_int* m, lapack_int* n, const lapack_complex_float* a,
+                    lapack_int* lda, float* r, float* c, float* rowcnd,
+                    float* colcnd, float* amax, lapack_int *info );
+void LAPACK_zgeequ( lapack_int* m, lapack_int* n,
+                    const lapack_complex_double* a, lapack_int* lda, double* r,
+                    double* c, double* rowcnd, double* colcnd, double* amax,
+                    lapack_int *info );
+void LAPACK_dgeequb( lapack_int* m, lapack_int* n, const double* a,
+                     lapack_int* lda, double* r, double* c, double* rowcnd,
+                     double* colcnd, double* amax, lapack_int *info );
+void LAPACK_sgeequb( lapack_int* m, lapack_int* n, const float* a,
+                     lapack_int* lda, float* r, float* c, float* rowcnd,
+                     float* colcnd, float* amax, lapack_int *info );
+void LAPACK_zgeequb( lapack_int* m, lapack_int* n,
+                     const lapack_complex_double* a, lapack_int* lda, double* r,
+                     double* c, double* rowcnd, double* colcnd, double* amax,
+                     lapack_int *info );
+void LAPACK_cgeequb( lapack_int* m, lapack_int* n,
+                     const lapack_complex_float* a, lapack_int* lda, float* r,
+                     float* c, float* rowcnd, float* colcnd, float* amax,
+                     lapack_int *info );
+void LAPACK_sgbequ( lapack_int* m, lapack_int* n, lapack_int* kl,
+                    lapack_int* ku, const float* ab, lapack_int* ldab, float* r,
+                    float* c, float* rowcnd, float* colcnd, float* amax,
+                    lapack_int *info );
+void LAPACK_dgbequ( lapack_int* m, lapack_int* n, lapack_int* kl,
+                    lapack_int* ku, const double* ab, lapack_int* ldab,
+                    double* r, double* c, double* rowcnd, double* colcnd,
+                    double* amax, lapack_int *info );
+void LAPACK_cgbequ( lapack_int* m, lapack_int* n, lapack_int* kl,
+                    lapack_int* ku, const lapack_complex_float* ab,
+                    lapack_int* ldab, float* r, float* c, float* rowcnd,
+                    float* colcnd, float* amax, lapack_int *info );
+void LAPACK_zgbequ( lapack_int* m, lapack_int* n, lapack_int* kl,
+                    lapack_int* ku, const lapack_complex_double* ab,
+                    lapack_int* ldab, double* r, double* c, double* rowcnd,
+                    double* colcnd, double* amax, lapack_int *info );
+void LAPACK_dgbequb( lapack_int* m, lapack_int* n, lapack_int* kl,
+                     lapack_int* ku, const double* ab, lapack_int* ldab,
+                     double* r, double* c, double* rowcnd, double* colcnd,
+                     double* amax, lapack_int *info );
+void LAPACK_sgbequb( lapack_int* m, lapack_int* n, lapack_int* kl,
+                     lapack_int* ku, const float* ab, lapack_int* ldab,
+                     float* r, float* c, float* rowcnd, float* colcnd,
+                     float* amax, lapack_int *info );
+void LAPACK_zgbequb( lapack_int* m, lapack_int* n, lapack_int* kl,
+                     lapack_int* ku, const lapack_complex_double* ab,
+                     lapack_int* ldab, double* r, double* c, double* rowcnd,
+                     double* colcnd, double* amax, lapack_int *info );
+void LAPACK_cgbequb( lapack_int* m, lapack_int* n, lapack_int* kl,
+                     lapack_int* ku, const lapack_complex_float* ab,
+                     lapack_int* ldab, float* r, float* c, float* rowcnd,
+                     float* colcnd, float* amax, lapack_int *info );
+void LAPACK_spoequ( lapack_int* n, const float* a, lapack_int* lda, float* s,
+                    float* scond, float* amax, lapack_int *info );
+void LAPACK_dpoequ( lapack_int* n, const double* a, lapack_int* lda, double* s,
+                    double* scond, double* amax, lapack_int *info );
+void LAPACK_cpoequ( lapack_int* n, const lapack_complex_float* a,
+                    lapack_int* lda, float* s, float* scond, float* amax,
+                    lapack_int *info );
+void LAPACK_zpoequ( lapack_int* n, const lapack_complex_double* a,
+                    lapack_int* lda, double* s, double* scond, double* amax,
+                    lapack_int *info );
+void LAPACK_dpoequb( lapack_int* n, const double* a, lapack_int* lda, double* s,
+                     double* scond, double* amax, lapack_int *info );
+void LAPACK_spoequb( lapack_int* n, const float* a, lapack_int* lda, float* s,
+                     float* scond, float* amax, lapack_int *info );
+void LAPACK_zpoequb( lapack_int* n, const lapack_complex_double* a,
+                     lapack_int* lda, double* s, double* scond, double* amax,
+                     lapack_int *info );
+void LAPACK_cpoequb( lapack_int* n, const lapack_complex_float* a,
+                     lapack_int* lda, float* s, float* scond, float* amax,
+                     lapack_int *info );
+void LAPACK_sppequ( char* uplo, lapack_int* n, const float* ap, float* s,
+                    float* scond, float* amax, lapack_int *info );
+void LAPACK_dppequ( char* uplo, lapack_int* n, const double* ap, double* s,
+                    double* scond, double* amax, lapack_int *info );
+void LAPACK_cppequ( char* uplo, lapack_int* n, const lapack_complex_float* ap,
+                    float* s, float* scond, float* amax, lapack_int *info );
+void LAPACK_zppequ( char* uplo, lapack_int* n, const lapack_complex_double* ap,
+                    double* s, double* scond, double* amax, lapack_int *info );
+void LAPACK_spbequ( char* uplo, lapack_int* n, lapack_int* kd, const float* ab,
+                    lapack_int* ldab, float* s, float* scond, float* amax,
+                    lapack_int *info );
+void LAPACK_dpbequ( char* uplo, lapack_int* n, lapack_int* kd, const double* ab,
+                    lapack_int* ldab, double* s, double* scond, double* amax,
+                    lapack_int *info );
+void LAPACK_cpbequ( char* uplo, lapack_int* n, lapack_int* kd,
+                    const lapack_complex_float* ab, lapack_int* ldab, float* s,
+                    float* scond, float* amax, lapack_int *info );
+void LAPACK_zpbequ( char* uplo, lapack_int* n, lapack_int* kd,
+                    const lapack_complex_double* ab, lapack_int* ldab,
+                    double* s, double* scond, double* amax, lapack_int *info );
+void LAPACK_dsyequb( char* uplo, lapack_int* n, const double* a,
+                     lapack_int* lda, double* s, double* scond, double* amax,
+                     double* work, lapack_int *info );
+void LAPACK_ssyequb( char* uplo, lapack_int* n, const float* a, lapack_int* lda,
+                     float* s, float* scond, float* amax, float* work,
+                     lapack_int *info );
+void LAPACK_zsyequb( char* uplo, lapack_int* n, const lapack_complex_double* a,
+                     lapack_int* lda, double* s, double* scond, double* amax,
+                     lapack_complex_double* work, lapack_int *info );
+void LAPACK_csyequb( char* uplo, lapack_int* n, const lapack_complex_float* a,
+                     lapack_int* lda, float* s, float* scond, float* amax,
+                     lapack_complex_float* work, lapack_int *info );
+void LAPACK_zheequb( char* uplo, lapack_int* n, const lapack_complex_double* a,
+                     lapack_int* lda, double* s, double* scond, double* amax,
+                     lapack_complex_double* work, lapack_int *info );
+void LAPACK_cheequb( char* uplo, lapack_int* n, const lapack_complex_float* a,
+                     lapack_int* lda, float* s, float* scond, float* amax,
+                     lapack_complex_float* work, lapack_int *info );
+void LAPACK_sgesv( lapack_int* n, lapack_int* nrhs, float* a, lapack_int* lda,
+                   lapack_int* ipiv, float* b, lapack_int* ldb,
+                   lapack_int *info );
+void LAPACK_dgesv( lapack_int* n, lapack_int* nrhs, double* a, lapack_int* lda,
+                   lapack_int* ipiv, double* b, lapack_int* ldb,
+                   lapack_int *info );
+void LAPACK_cgesv( lapack_int* n, lapack_int* nrhs, lapack_complex_float* a,
+                   lapack_int* lda, lapack_int* ipiv, lapack_complex_float* b,
+                   lapack_int* ldb, lapack_int *info );
+void LAPACK_zgesv( lapack_int* n, lapack_int* nrhs, lapack_complex_double* a,
+                   lapack_int* lda, lapack_int* ipiv, lapack_complex_double* b,
+                   lapack_int* ldb, lapack_int *info );
+void LAPACK_dsgesv( lapack_int* n, lapack_int* nrhs, double* a, lapack_int* lda,
+                    lapack_int* ipiv, double* b, lapack_int* ldb, double* x,
+                    lapack_int* ldx, double* work, float* swork,
+                    lapack_int* iter, lapack_int *info );
+void LAPACK_zcgesv( lapack_int* n, lapack_int* nrhs, lapack_complex_double* a,
+                    lapack_int* lda, lapack_int* ipiv, lapack_complex_double* b,
+                    lapack_int* ldb, lapack_complex_double* x, lapack_int* ldx,
+                    lapack_complex_double* work, lapack_complex_float* swork,
+                    double* rwork, lapack_int* iter, lapack_int *info );
+void LAPACK_sgesvx( char* fact, char* trans, lapack_int* n, lapack_int* nrhs,
+                    float* a, lapack_int* lda, float* af, lapack_int* ldaf,
+                    lapack_int* ipiv, char* equed, float* r, float* c, float* b,
+                    lapack_int* ldb, float* x, lapack_int* ldx, float* rcond,
+                    float* ferr, float* berr, float* work, lapack_int* iwork,
+                    lapack_int *info );
+void LAPACK_dgesvx( char* fact, char* trans, lapack_int* n, lapack_int* nrhs,
+                    double* a, lapack_int* lda, double* af, lapack_int* ldaf,
+                    lapack_int* ipiv, char* equed, double* r, double* c,
+                    double* b, lapack_int* ldb, double* x, lapack_int* ldx,
+                    double* rcond, double* ferr, double* berr, double* work,
+                    lapack_int* iwork, lapack_int *info );
+void LAPACK_cgesvx( char* fact, char* trans, lapack_int* n, lapack_int* nrhs,
+                    lapack_complex_float* a, lapack_int* lda,
+                    lapack_complex_float* af, lapack_int* ldaf,
+                    lapack_int* ipiv, char* equed, float* r, float* c,
+                    lapack_complex_float* b, lapack_int* ldb,
+                    lapack_complex_float* x, lapack_int* ldx, float* rcond,
+                    float* ferr, float* berr, lapack_complex_float* work,
+                    float* rwork, lapack_int *info );
+void LAPACK_zgesvx( char* fact, char* trans, lapack_int* n, lapack_int* nrhs,
+                    lapack_complex_double* a, lapack_int* lda,
+                    lapack_complex_double* af, lapack_int* ldaf,
+                    lapack_int* ipiv, char* equed, double* r, double* c,
+                    lapack_complex_double* b, lapack_int* ldb,
+                    lapack_complex_double* x, lapack_int* ldx, double* rcond,
+                    double* ferr, double* berr, lapack_complex_double* work,
+                    double* rwork, lapack_int *info );
+void LAPACK_dgesvxx( char* fact, char* trans, lapack_int* n, lapack_int* nrhs,
+                     double* a, lapack_int* lda, double* af, lapack_int* ldaf,
+                     lapack_int* ipiv, char* equed, double* r, double* c,
+                     double* b, lapack_int* ldb, double* x, lapack_int* ldx,
+                     double* rcond, double* rpvgrw, double* berr,
+                     lapack_int* n_err_bnds, double* err_bnds_norm,
+                     double* err_bnds_comp, lapack_int* nparams, double* params,
+                     double* work, lapack_int* iwork, lapack_int *info );
+void LAPACK_sgesvxx( char* fact, char* trans, lapack_int* n, lapack_int* nrhs,
+                     float* a, lapack_int* lda, float* af, lapack_int* ldaf,
+                     lapack_int* ipiv, char* equed, float* r, float* c,
+                     float* b, lapack_int* ldb, float* x, lapack_int* ldx,
+                     float* rcond, float* rpvgrw, float* berr,
+                     lapack_int* n_err_bnds, float* err_bnds_norm,
+                     float* err_bnds_comp, lapack_int* nparams, float* params,
+                     float* work, lapack_int* iwork, lapack_int *info );
+void LAPACK_zgesvxx( char* fact, char* trans, lapack_int* n, lapack_int* nrhs,
+                     lapack_complex_double* a, lapack_int* lda,
+                     lapack_complex_double* af, lapack_int* ldaf,
+                     lapack_int* ipiv, char* equed, double* r, double* c,
+                     lapack_complex_double* b, lapack_int* ldb,
+                     lapack_complex_double* x, lapack_int* ldx, double* rcond,
+                     double* rpvgrw, double* berr, lapack_int* n_err_bnds,
+                     double* err_bnds_norm, double* err_bnds_comp,
+                     lapack_int* nparams, double* params,
+                     lapack_complex_double* work, double* rwork,
+                     lapack_int *info );
+void LAPACK_cgesvxx( char* fact, char* trans, lapack_int* n, lapack_int* nrhs,
+                     lapack_complex_float* a, lapack_int* lda,
+                     lapack_complex_float* af, lapack_int* ldaf,
+                     lapack_int* ipiv, char* equed, float* r, float* c,
+                     lapack_complex_float* b, lapack_int* ldb,
+                     lapack_complex_float* x, lapack_int* ldx, float* rcond,
+                     float* rpvgrw, float* berr, lapack_int* n_err_bnds,
+                     float* err_bnds_norm, float* err_bnds_comp,
+                     lapack_int* nparams, float* params,
+                     lapack_complex_float* work, float* rwork,
+                     lapack_int *info );
+void LAPACK_sgbsv( lapack_int* n, lapack_int* kl, lapack_int* ku,
+                   lapack_int* nrhs, float* ab, lapack_int* ldab,
+                   lapack_int* ipiv, float* b, lapack_int* ldb,
+                   lapack_int *info );
+void LAPACK_dgbsv( lapack_int* n, lapack_int* kl, lapack_int* ku,
+                   lapack_int* nrhs, double* ab, lapack_int* ldab,
+                   lapack_int* ipiv, double* b, lapack_int* ldb,
+                   lapack_int *info );
+void LAPACK_cgbsv( lapack_int* n, lapack_int* kl, lapack_int* ku,
+                   lapack_int* nrhs, lapack_complex_float* ab, lapack_int* ldab,
+                   lapack_int* ipiv, lapack_complex_float* b, lapack_int* ldb,
+                   lapack_int *info );
+void LAPACK_zgbsv( lapack_int* n, lapack_int* kl, lapack_int* ku,
+                   lapack_int* nrhs, lapack_complex_double* ab,
+                   lapack_int* ldab, lapack_int* ipiv, lapack_complex_double* b,
+                   lapack_int* ldb, lapack_int *info );
+void LAPACK_sgbsvx( char* fact, char* trans, lapack_int* n, lapack_int* kl,
+                    lapack_int* ku, lapack_int* nrhs, float* ab,
+                    lapack_int* ldab, float* afb, lapack_int* ldafb,
+                    lapack_int* ipiv, char* equed, float* r, float* c, float* b,
+                    lapack_int* ldb, float* x, lapack_int* ldx, float* rcond,
+                    float* ferr, float* berr, float* work, lapack_int* iwork,
+                    lapack_int *info );
+void LAPACK_dgbsvx( char* fact, char* trans, lapack_int* n, lapack_int* kl,
+                    lapack_int* ku, lapack_int* nrhs, double* ab,
+                    lapack_int* ldab, double* afb, lapack_int* ldafb,
+                    lapack_int* ipiv, char* equed, double* r, double* c,
+                    double* b, lapack_int* ldb, double* x, lapack_int* ldx,
+                    double* rcond, double* ferr, double* berr, double* work,
+                    lapack_int* iwork, lapack_int *info );
+void LAPACK_cgbsvx( char* fact, char* trans, lapack_int* n, lapack_int* kl,
+                    lapack_int* ku, lapack_int* nrhs, lapack_complex_float* ab,
+                    lapack_int* ldab, lapack_complex_float* afb,
+                    lapack_int* ldafb, lapack_int* ipiv, char* equed, float* r,
+                    float* c, lapack_complex_float* b, lapack_int* ldb,
+                    lapack_complex_float* x, lapack_int* ldx, float* rcond,
+                    float* ferr, float* berr, lapack_complex_float* work,
+                    float* rwork, lapack_int *info );
+void LAPACK_zgbsvx( char* fact, char* trans, lapack_int* n, lapack_int* kl,
+                    lapack_int* ku, lapack_int* nrhs, lapack_complex_double* ab,
+                    lapack_int* ldab, lapack_complex_double* afb,
+                    lapack_int* ldafb, lapack_int* ipiv, char* equed, double* r,
+                    double* c, lapack_complex_double* b, lapack_int* ldb,
+                    lapack_complex_double* x, lapack_int* ldx, double* rcond,
+                    double* ferr, double* berr, lapack_complex_double* work,
+                    double* rwork, lapack_int *info );
+void LAPACK_dgbsvxx( char* fact, char* trans, lapack_int* n, lapack_int* kl,
+                     lapack_int* ku, lapack_int* nrhs, double* ab,
+                     lapack_int* ldab, double* afb, lapack_int* ldafb,
+                     lapack_int* ipiv, char* equed, double* r, double* c,
+                     double* b, lapack_int* ldb, double* x, lapack_int* ldx,
+                     double* rcond, double* rpvgrw, double* berr,
+                     lapack_int* n_err_bnds, double* err_bnds_norm,
+                     double* err_bnds_comp, lapack_int* nparams, double* params,
+                     double* work, lapack_int* iwork, lapack_int *info );
+void LAPACK_sgbsvxx( char* fact, char* trans, lapack_int* n, lapack_int* kl,
+                     lapack_int* ku, lapack_int* nrhs, float* ab,
+                     lapack_int* ldab, float* afb, lapack_int* ldafb,
+                     lapack_int* ipiv, char* equed, float* r, float* c,
+                     float* b, lapack_int* ldb, float* x, lapack_int* ldx,
+                     float* rcond, float* rpvgrw, float* berr,
+                     lapack_int* n_err_bnds, float* err_bnds_norm,
+                     float* err_bnds_comp, lapack_int* nparams, float* params,
+                     float* work, lapack_int* iwork, lapack_int *info );
+void LAPACK_zgbsvxx( char* fact, char* trans, lapack_int* n, lapack_int* kl,
+                     lapack_int* ku, lapack_int* nrhs,
+                     lapack_complex_double* ab, lapack_int* ldab,
+                     lapack_complex_double* afb, lapack_int* ldafb,
+                     lapack_int* ipiv, char* equed, double* r, double* c,
+                     lapack_complex_double* b, lapack_int* ldb,
+                     lapack_complex_double* x, lapack_int* ldx, double* rcond,
+                     double* rpvgrw, double* berr, lapack_int* n_err_bnds,
+                     double* err_bnds_norm, double* err_bnds_comp,
+                     lapack_int* nparams, double* params,
+                     lapack_complex_double* work, double* rwork,
+                     lapack_int *info );
+void LAPACK_cgbsvxx( char* fact, char* trans, lapack_int* n, lapack_int* kl,
+                     lapack_int* ku, lapack_int* nrhs, lapack_complex_float* ab,
+                     lapack_int* ldab, lapack_complex_float* afb,
+                     lapack_int* ldafb, lapack_int* ipiv, char* equed, float* r,
+                     float* c, lapack_complex_float* b, lapack_int* ldb,
+                     lapack_complex_float* x, lapack_int* ldx, float* rcond,
+                     float* rpvgrw, float* berr, lapack_int* n_err_bnds,
+                     float* err_bnds_norm, float* err_bnds_comp,
+                     lapack_int* nparams, float* params,
+                     lapack_complex_float* work, float* rwork,
+                     lapack_int *info );
+void LAPACK_sgtsv( lapack_int* n, lapack_int* nrhs, float* dl, float* d,
+                   float* du, float* b, lapack_int* ldb, lapack_int *info );
+void LAPACK_dgtsv( lapack_int* n, lapack_int* nrhs, double* dl, double* d,
+                   double* du, double* b, lapack_int* ldb, lapack_int *info );
+void LAPACK_cgtsv( lapack_int* n, lapack_int* nrhs, lapack_complex_float* dl,
+                   lapack_complex_float* d, lapack_complex_float* du,
+                   lapack_complex_float* b, lapack_int* ldb, lapack_int *info );
+void LAPACK_zgtsv( lapack_int* n, lapack_int* nrhs, lapack_complex_double* dl,
+                   lapack_complex_double* d, lapack_complex_double* du,
+                   lapack_complex_double* b, lapack_int* ldb,
+                   lapack_int *info );
+void LAPACK_sgtsvx( char* fact, char* trans, lapack_int* n, lapack_int* nrhs,
+                    const float* dl, const float* d, const float* du,
+                    float* dlf, float* df, float* duf, float* du2,
+                    lapack_int* ipiv, const float* b, lapack_int* ldb, float* x,
+                    lapack_int* ldx, float* rcond, float* ferr, float* berr,
+                    float* work, lapack_int* iwork, lapack_int *info );
+void LAPACK_dgtsvx( char* fact, char* trans, lapack_int* n, lapack_int* nrhs,
+                    const double* dl, const double* d, const double* du,
+                    double* dlf, double* df, double* duf, double* du2,
+                    lapack_int* ipiv, const double* b, lapack_int* ldb,
+                    double* x, lapack_int* ldx, double* rcond, double* ferr,
+                    double* berr, double* work, lapack_int* iwork,
+                    lapack_int *info );
+void LAPACK_cgtsvx( char* fact, char* trans, lapack_int* n, lapack_int* nrhs,
+                    const lapack_complex_float* dl,
+                    const lapack_complex_float* d,
+                    const lapack_complex_float* du, lapack_complex_float* dlf,
+                    lapack_complex_float* df, lapack_complex_float* duf,
+                    lapack_complex_float* du2, lapack_int* ipiv,
+                    const lapack_complex_float* b, lapack_int* ldb,
+                    lapack_complex_float* x, lapack_int* ldx, float* rcond,
+                    float* ferr, float* berr, lapack_complex_float* work,
+                    float* rwork, lapack_int *info );
+void LAPACK_zgtsvx( char* fact, char* trans, lapack_int* n, lapack_int* nrhs,
+                    const lapack_complex_double* dl,
+                    const lapack_complex_double* d,
+                    const lapack_complex_double* du, lapack_complex_double* dlf,
+                    lapack_complex_double* df, lapack_complex_double* duf,
+                    lapack_complex_double* du2, lapack_int* ipiv,
+                    const lapack_complex_double* b, lapack_int* ldb,
+                    lapack_complex_double* x, lapack_int* ldx, double* rcond,
+                    double* ferr, double* berr, lapack_complex_double* work,
+                    double* rwork, lapack_int *info );
+void LAPACK_sposv( char* uplo, lapack_int* n, lapack_int* nrhs, float* a,
+                   lapack_int* lda, float* b, lapack_int* ldb,
+                   lapack_int *info );
+void LAPACK_dposv( char* uplo, lapack_int* n, lapack_int* nrhs, double* a,
+                   lapack_int* lda, double* b, lapack_int* ldb,
+                   lapack_int *info );
+void LAPACK_cposv( char* uplo, lapack_int* n, lapack_int* nrhs,
+                   lapack_complex_float* a, lapack_int* lda,
+                   lapack_complex_float* b, lapack_int* ldb, lapack_int *info );
+void LAPACK_zposv( char* uplo, lapack_int* n, lapack_int* nrhs,
+                   lapack_complex_double* a, lapack_int* lda,
+                   lapack_complex_double* b, lapack_int* ldb,
+                   lapack_int *info );
+void LAPACK_dsposv( char* uplo, lapack_int* n, lapack_int* nrhs, double* a,
+                    lapack_int* lda, double* b, lapack_int* ldb, double* x,
+                    lapack_int* ldx, double* work, float* swork,
+                    lapack_int* iter, lapack_int *info );
+void LAPACK_zcposv( char* uplo, lapack_int* n, lapack_int* nrhs,
+                    lapack_complex_double* a, lapack_int* lda,
+                    lapack_complex_double* b, lapack_int* ldb,
+                    lapack_complex_double* x, lapack_int* ldx,
+                    lapack_complex_double* work, lapack_complex_float* swork,
+                    double* rwork, lapack_int* iter, lapack_int *info );
+void LAPACK_sposvx( char* fact, char* uplo, lapack_int* n, lapack_int* nrhs,
+                    float* a, lapack_int* lda, float* af, lapack_int* ldaf,
+                    char* equed, float* s, float* b, lapack_int* ldb, float* x,
+                    lapack_int* ldx, float* rcond, float* ferr, float* berr,
+                    float* work, lapack_int* iwork, lapack_int *info );
+void LAPACK_dposvx( char* fact, char* uplo, lapack_int* n, lapack_int* nrhs,
+                    double* a, lapack_int* lda, double* af, lapack_int* ldaf,
+                    char* equed, double* s, double* b, lapack_int* ldb,
+                    double* x, lapack_int* ldx, double* rcond, double* ferr,
+                    double* berr, double* work, lapack_int* iwork,
+                    lapack_int *info );
+void LAPACK_cposvx( char* fact, char* uplo, lapack_int* n, lapack_int* nrhs,
+                    lapack_complex_float* a, lapack_int* lda,
+                    lapack_complex_float* af, lapack_int* ldaf, char* equed,
+                    float* s, lapack_complex_float* b, lapack_int* ldb,
+                    lapack_complex_float* x, lapack_int* ldx, float* rcond,
+                    float* ferr, float* berr, lapack_complex_float* work,
+                    float* rwork, lapack_int *info );
+void LAPACK_zposvx( char* fact, char* uplo, lapack_int* n, lapack_int* nrhs,
+                    lapack_complex_double* a, lapack_int* lda,
+                    lapack_complex_double* af, lapack_int* ldaf, char* equed,
+                    double* s, lapack_complex_double* b, lapack_int* ldb,
+                    lapack_complex_double* x, lapack_int* ldx, double* rcond,
+                    double* ferr, double* berr, lapack_complex_double* work,
+                    double* rwork, lapack_int *info );
+void LAPACK_dposvxx( char* fact, char* uplo, lapack_int* n, lapack_int* nrhs,
+                     double* a, lapack_int* lda, double* af, lapack_int* ldaf,
+                     char* equed, double* s, double* b, lapack_int* ldb,
+                     double* x, lapack_int* ldx, double* rcond, double* rpvgrw,
+                     double* berr, lapack_int* n_err_bnds,
+                     double* err_bnds_norm, double* err_bnds_comp,
+                     lapack_int* nparams, double* params, double* work,
+                     lapack_int* iwork, lapack_int *info );
+void LAPACK_sposvxx( char* fact, char* uplo, lapack_int* n, lapack_int* nrhs,
+                     float* a, lapack_int* lda, float* af, lapack_int* ldaf,
+                     char* equed, float* s, float* b, lapack_int* ldb, float* x,
+                     lapack_int* ldx, float* rcond, float* rpvgrw, float* berr,
+                     lapack_int* n_err_bnds, float* err_bnds_norm,
+                     float* err_bnds_comp, lapack_int* nparams, float* params,
+                     float* work, lapack_int* iwork, lapack_int *info );
+void LAPACK_zposvxx( char* fact, char* uplo, lapack_int* n, lapack_int* nrhs,
+                     lapack_complex_double* a, lapack_int* lda,
+                     lapack_complex_double* af, lapack_int* ldaf, char* equed,
+                     double* s, lapack_complex_double* b, lapack_int* ldb,
+                     lapack_complex_double* x, lapack_int* ldx, double* rcond,
+                     double* rpvgrw, double* berr, lapack_int* n_err_bnds,
+                     double* err_bnds_norm, double* err_bnds_comp,
+                     lapack_int* nparams, double* params,
+                     lapack_complex_double* work, double* rwork,
+                     lapack_int *info );
+void LAPACK_cposvxx( char* fact, char* uplo, lapack_int* n, lapack_int* nrhs,
+                     lapack_complex_float* a, lapack_int* lda,
+                     lapack_complex_float* af, lapack_int* ldaf, char* equed,
+                     float* s, lapack_complex_float* b, lapack_int* ldb,
+                     lapack_complex_float* x, lapack_int* ldx, float* rcond,
+                     float* rpvgrw, float* berr, lapack_int* n_err_bnds,
+                     float* err_bnds_norm, float* err_bnds_comp,
+                     lapack_int* nparams, float* params,
+                     lapack_complex_float* work, float* rwork,
+                     lapack_int *info );
+void LAPACK_sppsv( char* uplo, lapack_int* n, lapack_int* nrhs, float* ap,
+                   float* b, lapack_int* ldb, lapack_int *info );
+void LAPACK_dppsv( char* uplo, lapack_int* n, lapack_int* nrhs, double* ap,
+                   double* b, lapack_int* ldb, lapack_int *info );
+void LAPACK_cppsv( char* uplo, lapack_int* n, lapack_int* nrhs,
+                   lapack_complex_float* ap, lapack_complex_float* b,
+                   lapack_int* ldb, lapack_int *info );
+void LAPACK_zppsv( char* uplo, lapack_int* n, lapack_int* nrhs,
+                   lapack_complex_double* ap, lapack_complex_double* b,
+                   lapack_int* ldb, lapack_int *info );
+void LAPACK_sppsvx( char* fact, char* uplo, lapack_int* n, lapack_int* nrhs,
+                    float* ap, float* afp, char* equed, float* s, float* b,
+                    lapack_int* ldb, float* x, lapack_int* ldx, float* rcond,
+                    float* ferr, float* berr, float* work, lapack_int* iwork,
+                    lapack_int *info );
+void LAPACK_dppsvx( char* fact, char* uplo, lapack_int* n, lapack_int* nrhs,
+                    double* ap, double* afp, char* equed, double* s, double* b,
+                    lapack_int* ldb, double* x, lapack_int* ldx, double* rcond,
+                    double* ferr, double* berr, double* work, lapack_int* iwork,
+                    lapack_int *info );
+void LAPACK_cppsvx( char* fact, char* uplo, lapack_int* n, lapack_int* nrhs,
+                    lapack_complex_float* ap, lapack_complex_float* afp,
+                    char* equed, float* s, lapack_complex_float* b,
+                    lapack_int* ldb, lapack_complex_float* x, lapack_int* ldx,
+                    float* rcond, float* ferr, float* berr,
+                    lapack_complex_float* work, float* rwork,
+                    lapack_int *info );
+void LAPACK_zppsvx( char* fact, char* uplo, lapack_int* n, lapack_int* nrhs,
+                    lapack_complex_double* ap, lapack_complex_double* afp,
+                    char* equed, double* s, lapack_complex_double* b,
+                    lapack_int* ldb, lapack_complex_double* x, lapack_int* ldx,
+                    double* rcond, double* ferr, double* berr,
+                    lapack_complex_double* work, double* rwork,
+                    lapack_int *info );
+void LAPACK_spbsv( char* uplo, lapack_int* n, lapack_int* kd, lapack_int* nrhs,
+                   float* ab, lapack_int* ldab, float* b, lapack_int* ldb,
+                   lapack_int *info );
+void LAPACK_dpbsv( char* uplo, lapack_int* n, lapack_int* kd, lapack_int* nrhs,
+                   double* ab, lapack_int* ldab, double* b, lapack_int* ldb,
+                   lapack_int *info );
+void LAPACK_cpbsv( char* uplo, lapack_int* n, lapack_int* kd, lapack_int* nrhs,
+                   lapack_complex_float* ab, lapack_int* ldab,
+                   lapack_complex_float* b, lapack_int* ldb, lapack_int *info );
+void LAPACK_zpbsv( char* uplo, lapack_int* n, lapack_int* kd, lapack_int* nrhs,
+                   lapack_complex_double* ab, lapack_int* ldab,
+                   lapack_complex_double* b, lapack_int* ldb,
+                   lapack_int *info );
+void LAPACK_spbsvx( char* fact, char* uplo, lapack_int* n, lapack_int* kd,
+                    lapack_int* nrhs, float* ab, lapack_int* ldab, float* afb,
+                    lapack_int* ldafb, char* equed, float* s, float* b,
+                    lapack_int* ldb, float* x, lapack_int* ldx, float* rcond,
+                    float* ferr, float* berr, float* work, lapack_int* iwork,
+                    lapack_int *info );
+void LAPACK_dpbsvx( char* fact, char* uplo, lapack_int* n, lapack_int* kd,
+                    lapack_int* nrhs, double* ab, lapack_int* ldab, double* afb,
+                    lapack_int* ldafb, char* equed, double* s, double* b,
+                    lapack_int* ldb, double* x, lapack_int* ldx, double* rcond,
+                    double* ferr, double* berr, double* work, lapack_int* iwork,
+                    lapack_int *info );
+void LAPACK_cpbsvx( char* fact, char* uplo, lapack_int* n, lapack_int* kd,
+                    lapack_int* nrhs, lapack_complex_float* ab,
+                    lapack_int* ldab, lapack_complex_float* afb,
+                    lapack_int* ldafb, char* equed, float* s,
+                    lapack_complex_float* b, lapack_int* ldb,
+                    lapack_complex_float* x, lapack_int* ldx, float* rcond,
+                    float* ferr, float* berr, lapack_complex_float* work,
+                    float* rwork, lapack_int *info );
+void LAPACK_zpbsvx( char* fact, char* uplo, lapack_int* n, lapack_int* kd,
+                    lapack_int* nrhs, lapack_complex_double* ab,
+                    lapack_int* ldab, lapack_complex_double* afb,
+                    lapack_int* ldafb, char* equed, double* s,
+                    lapack_complex_double* b, lapack_int* ldb,
+                    lapack_complex_double* x, lapack_int* ldx, double* rcond,
+                    double* ferr, double* berr, lapack_complex_double* work,
+                    double* rwork, lapack_int *info );
+void LAPACK_sptsv( lapack_int* n, lapack_int* nrhs, float* d, float* e,
+                   float* b, lapack_int* ldb, lapack_int *info );
+void LAPACK_dptsv( lapack_int* n, lapack_int* nrhs, double* d, double* e,
+                   double* b, lapack_int* ldb, lapack_int *info );
+void LAPACK_cptsv( lapack_int* n, lapack_int* nrhs, float* d,
+                   lapack_complex_float* e, lapack_complex_float* b,
+                   lapack_int* ldb, lapack_int *info );
+void LAPACK_zptsv( lapack_int* n, lapack_int* nrhs, double* d,
+                   lapack_complex_double* e, lapack_complex_double* b,
+                   lapack_int* ldb, lapack_int *info );
+void LAPACK_sptsvx( char* fact, lapack_int* n, lapack_int* nrhs, const float* d,
+                    const float* e, float* df, float* ef, const float* b,
+                    lapack_int* ldb, float* x, lapack_int* ldx, float* rcond,
+                    float* ferr, float* berr, float* work, lapack_int *info );
+void LAPACK_dptsvx( char* fact, lapack_int* n, lapack_int* nrhs,
+                    const double* d, const double* e, double* df, double* ef,
+                    const double* b, lapack_int* ldb, double* x,
+                    lapack_int* ldx, double* rcond, double* ferr, double* berr,
+                    double* work, lapack_int *info );
+void LAPACK_cptsvx( char* fact, lapack_int* n, lapack_int* nrhs, const float* d,
+                    const lapack_complex_float* e, float* df,
+                    lapack_complex_float* ef, const lapack_complex_float* b,
+                    lapack_int* ldb, lapack_complex_float* x, lapack_int* ldx,
+                    float* rcond, float* ferr, float* berr,
+                    lapack_complex_float* work, float* rwork,
+                    lapack_int *info );
+void LAPACK_zptsvx( char* fact, lapack_int* n, lapack_int* nrhs,
+                    const double* d, const lapack_complex_double* e, double* df,
+                    lapack_complex_double* ef, const lapack_complex_double* b,
+                    lapack_int* ldb, lapack_complex_double* x, lapack_int* ldx,
+                    double* rcond, double* ferr, double* berr,
+                    lapack_complex_double* work, double* rwork,
+                    lapack_int *info );
+void LAPACK_ssysv( char* uplo, lapack_int* n, lapack_int* nrhs, float* a,
+                   lapack_int* lda, lapack_int* ipiv, float* b, lapack_int* ldb,
+                   float* work, lapack_int* lwork, lapack_int *info );
+void LAPACK_dsysv( char* uplo, lapack_int* n, lapack_int* nrhs, double* a,
+                   lapack_int* lda, lapack_int* ipiv, double* b,
+                   lapack_int* ldb, double* work, lapack_int* lwork,
+                   lapack_int *info );
+void LAPACK_csysv( char* uplo, lapack_int* n, lapack_int* nrhs,
+                   lapack_complex_float* a, lapack_int* lda, lapack_int* ipiv,
+                   lapack_complex_float* b, lapack_int* ldb,
+                   lapack_complex_float* work, lapack_int* lwork,
+                   lapack_int *info );
+void LAPACK_zsysv( char* uplo, lapack_int* n, lapack_int* nrhs,
+                   lapack_complex_double* a, lapack_int* lda, lapack_int* ipiv,
+                   lapack_complex_double* b, lapack_int* ldb,
+                   lapack_complex_double* work, lapack_int* lwork,
+                   lapack_int *info );
+void LAPACK_ssysvx( char* fact, char* uplo, lapack_int* n, lapack_int* nrhs,
+                    const float* a, lapack_int* lda, float* af,
+                    lapack_int* ldaf, lapack_int* ipiv, const float* b,
+                    lapack_int* ldb, float* x, lapack_int* ldx, float* rcond,
+                    float* ferr, float* berr, float* work, lapack_int* lwork,
+                    lapack_int* iwork, lapack_int *info );
+void LAPACK_dsysvx( char* fact, char* uplo, lapack_int* n, lapack_int* nrhs,
+                    const double* a, lapack_int* lda, double* af,
+                    lapack_int* ldaf, lapack_int* ipiv, const double* b,
+                    lapack_int* ldb, double* x, lapack_int* ldx, double* rcond,
+                    double* ferr, double* berr, double* work, lapack_int* lwork,
+                    lapack_int* iwork, lapack_int *info );
+void LAPACK_csysvx( char* fact, char* uplo, lapack_int* n, lapack_int* nrhs,
+                    const lapack_complex_float* a, lapack_int* lda,
+                    lapack_complex_float* af, lapack_int* ldaf,
+                    lapack_int* ipiv, const lapack_complex_float* b,
+                    lapack_int* ldb, lapack_complex_float* x, lapack_int* ldx,
+                    float* rcond, float* ferr, float* berr,
+                    lapack_complex_float* work, lapack_int* lwork, float* rwork,
+                    lapack_int *info );
+void LAPACK_zsysvx( char* fact, char* uplo, lapack_int* n, lapack_int* nrhs,
+                    const lapack_complex_double* a, lapack_int* lda,
+                    lapack_complex_double* af, lapack_int* ldaf,
+                    lapack_int* ipiv, const lapack_complex_double* b,
+                    lapack_int* ldb, lapack_complex_double* x, lapack_int* ldx,
+                    double* rcond, double* ferr, double* berr,
+                    lapack_complex_double* work, lapack_int* lwork,
+                    double* rwork, lapack_int *info );
+void LAPACK_dsysvxx( char* fact, char* uplo, lapack_int* n, lapack_int* nrhs,
+                     double* a, lapack_int* lda, double* af, lapack_int* ldaf,
+                     lapack_int* ipiv, char* equed, double* s, double* b,
+                     lapack_int* ldb, double* x, lapack_int* ldx, double* rcond,
+                     double* rpvgrw, double* berr, lapack_int* n_err_bnds,
+                     double* err_bnds_norm, double* err_bnds_comp,
+                     lapack_int* nparams, double* params, double* work,
+                     lapack_int* iwork, lapack_int *info );
+void LAPACK_ssysvxx( char* fact, char* uplo, lapack_int* n, lapack_int* nrhs,
+                     float* a, lapack_int* lda, float* af, lapack_int* ldaf,
+                     lapack_int* ipiv, char* equed, float* s, float* b,
+                     lapack_int* ldb, float* x, lapack_int* ldx, float* rcond,
+                     float* rpvgrw, float* berr, lapack_int* n_err_bnds,
+                     float* err_bnds_norm, float* err_bnds_comp,
+                     lapack_int* nparams, float* params, float* work,
+                     lapack_int* iwork, lapack_int *info );
+void LAPACK_zsysvxx( char* fact, char* uplo, lapack_int* n, lapack_int* nrhs,
+                     lapack_complex_double* a, lapack_int* lda,
+                     lapack_complex_double* af, lapack_int* ldaf,
+                     lapack_int* ipiv, char* equed, double* s,
+                     lapack_complex_double* b, lapack_int* ldb,
+                     lapack_complex_double* x, lapack_int* ldx, double* rcond,
+                     double* rpvgrw, double* berr, lapack_int* n_err_bnds,
+                     double* err_bnds_norm, double* err_bnds_comp,
+                     lapack_int* nparams, double* params,
+                     lapack_complex_double* work, double* rwork,
+                     lapack_int *info );
+void LAPACK_csysvxx( char* fact, char* uplo, lapack_int* n, lapack_int* nrhs,
+                     lapack_complex_float* a, lapack_int* lda,
+                     lapack_complex_float* af, lapack_int* ldaf,
+                     lapack_int* ipiv, char* equed, float* s,
+                     lapack_complex_float* b, lapack_int* ldb,
+                     lapack_complex_float* x, lapack_int* ldx, float* rcond,
+                     float* rpvgrw, float* berr, lapack_int* n_err_bnds,
+                     float* err_bnds_norm, float* err_bnds_comp,
+                     lapack_int* nparams, float* params,
+                     lapack_complex_float* work, float* rwork,
+                     lapack_int *info );
+void LAPACK_chesv( char* uplo, lapack_int* n, lapack_int* nrhs,
+                   lapack_complex_float* a, lapack_int* lda, lapack_int* ipiv,
+                   lapack_complex_float* b, lapack_int* ldb,
+                   lapack_complex_float* work, lapack_int* lwork,
+                   lapack_int *info );
+void LAPACK_zhesv( char* uplo, lapack_int* n, lapack_int* nrhs,
+                   lapack_complex_double* a, lapack_int* lda, lapack_int* ipiv,
+                   lapack_complex_double* b, lapack_int* ldb,
+                   lapack_complex_double* work, lapack_int* lwork,
+                   lapack_int *info );
+void LAPACK_chesvx( char* fact, char* uplo, lapack_int* n, lapack_int* nrhs,
+                    const lapack_complex_float* a, lapack_int* lda,
+                    lapack_complex_float* af, lapack_int* ldaf,
+                    lapack_int* ipiv, const lapack_complex_float* b,
+                    lapack_int* ldb, lapack_complex_float* x, lapack_int* ldx,
+                    float* rcond, float* ferr, float* berr,
+                    lapack_complex_float* work, lapack_int* lwork, float* rwork,
+                    lapack_int *info );
+void LAPACK_zhesvx( char* fact, char* uplo, lapack_int* n, lapack_int* nrhs,
+                    const lapack_complex_double* a, lapack_int* lda,
+                    lapack_complex_double* af, lapack_int* ldaf,
+                    lapack_int* ipiv, const lapack_complex_double* b,
+                    lapack_int* ldb, lapack_complex_double* x, lapack_int* ldx,
+                    double* rcond, double* ferr, double* berr,
+                    lapack_complex_double* work, lapack_int* lwork,
+                    double* rwork, lapack_int *info );
+void LAPACK_zhesvxx( char* fact, char* uplo, lapack_int* n, lapack_int* nrhs,
+                     lapack_complex_double* a, lapack_int* lda,
+                     lapack_complex_double* af, lapack_int* ldaf,
+                     lapack_int* ipiv, char* equed, double* s,
+                     lapack_complex_double* b, lapack_int* ldb,
+                     lapack_complex_double* x, lapack_int* ldx, double* rcond,
+                     double* rpvgrw, double* berr, lapack_int* n_err_bnds,
+                     double* err_bnds_norm, double* err_bnds_comp,
+                     lapack_int* nparams, double* params,
+                     lapack_complex_double* work, double* rwork,
+                     lapack_int *info );
+void LAPACK_chesvxx( char* fact, char* uplo, lapack_int* n, lapack_int* nrhs,
+                     lapack_complex_float* a, lapack_int* lda,
+                     lapack_complex_float* af, lapack_int* ldaf,
+                     lapack_int* ipiv, char* equed, float* s,
+                     lapack_complex_float* b, lapack_int* ldb,
+                     lapack_complex_float* x, lapack_int* ldx, float* rcond,
+                     float* rpvgrw, float* berr, lapack_int* n_err_bnds,
+                     float* err_bnds_norm, float* err_bnds_comp,
+                     lapack_int* nparams, float* params,
+                     lapack_complex_float* work, float* rwork,
+                     lapack_int *info );
+void LAPACK_sspsv( char* uplo, lapack_int* n, lapack_int* nrhs, float* ap,
+                   lapack_int* ipiv, float* b, lapack_int* ldb,
+                   lapack_int *info );
+void LAPACK_dspsv( char* uplo, lapack_int* n, lapack_int* nrhs, double* ap,
+                   lapack_int* ipiv, double* b, lapack_int* ldb,
+                   lapack_int *info );
+void LAPACK_cspsv( char* uplo, lapack_int* n, lapack_int* nrhs,
+                   lapack_complex_float* ap, lapack_int* ipiv,
+                   lapack_complex_float* b, lapack_int* ldb, lapack_int *info );
+void LAPACK_zspsv( char* uplo, lapack_int* n, lapack_int* nrhs,
+                   lapack_complex_double* ap, lapack_int* ipiv,
+                   lapack_complex_double* b, lapack_int* ldb,
+                   lapack_int *info );
+void LAPACK_sspsvx( char* fact, char* uplo, lapack_int* n, lapack_int* nrhs,
+                    const float* ap, float* afp, lapack_int* ipiv,
+                    const float* b, lapack_int* ldb, float* x, lapack_int* ldx,
+                    float* rcond, float* ferr, float* berr, float* work,
+                    lapack_int* iwork, lapack_int *info );
+void LAPACK_dspsvx( char* fact, char* uplo, lapack_int* n, lapack_int* nrhs,
+                    const double* ap, double* afp, lapack_int* ipiv,
+                    const double* b, lapack_int* ldb, double* x,
+                    lapack_int* ldx, double* rcond, double* ferr, double* berr,
+                    double* work, lapack_int* iwork, lapack_int *info );
+void LAPACK_cspsvx( char* fact, char* uplo, lapack_int* n, lapack_int* nrhs,
+                    const lapack_complex_float* ap, lapack_complex_float* afp,
+                    lapack_int* ipiv, const lapack_complex_float* b,
+                    lapack_int* ldb, lapack_complex_float* x, lapack_int* ldx,
+                    float* rcond, float* ferr, float* berr,
+                    lapack_complex_float* work, float* rwork,
+                    lapack_int *info );
+void LAPACK_zspsvx( char* fact, char* uplo, lapack_int* n, lapack_int* nrhs,
+                    const lapack_complex_double* ap, lapack_complex_double* afp,
+                    lapack_int* ipiv, const lapack_complex_double* b,
+                    lapack_int* ldb, lapack_complex_double* x, lapack_int* ldx,
+                    double* rcond, double* ferr, double* berr,
+                    lapack_complex_double* work, double* rwork,
+                    lapack_int *info );
+void LAPACK_chpsv( char* uplo, lapack_int* n, lapack_int* nrhs,
+                   lapack_complex_float* ap, lapack_int* ipiv,
+                   lapack_complex_float* b, lapack_int* ldb, lapack_int *info );
+void LAPACK_zhpsv( char* uplo, lapack_int* n, lapack_int* nrhs,
+                   lapack_complex_double* ap, lapack_int* ipiv,
+                   lapack_complex_double* b, lapack_int* ldb,
+                   lapack_int *info );
+void LAPACK_chpsvx( char* fact, char* uplo, lapack_int* n, lapack_int* nrhs,
+                    const lapack_complex_float* ap, lapack_complex_float* afp,
+                    lapack_int* ipiv, const lapack_complex_float* b,
+                    lapack_int* ldb, lapack_complex_float* x, lapack_int* ldx,
+                    float* rcond, float* ferr, float* berr,
+                    lapack_complex_float* work, float* rwork,
+                    lapack_int *info );
+void LAPACK_zhpsvx( char* fact, char* uplo, lapack_int* n, lapack_int* nrhs,
+                    const lapack_complex_double* ap, lapack_complex_double* afp,
+                    lapack_int* ipiv, const lapack_complex_double* b,
+                    lapack_int* ldb, lapack_complex_double* x, lapack_int* ldx,
+                    double* rcond, double* ferr, double* berr,
+                    lapack_complex_double* work, double* rwork,
+                    lapack_int *info );
+void LAPACK_sgeqrf( lapack_int* m, lapack_int* n, float* a, lapack_int* lda,
+                    float* tau, float* work, lapack_int* lwork,
+                    lapack_int *info );
+void LAPACK_dgeqrf( lapack_int* m, lapack_int* n, double* a, lapack_int* lda,
+                    double* tau, double* work, lapack_int* lwork,
+                    lapack_int *info );
+void LAPACK_cgeqrf( lapack_int* m, lapack_int* n, lapack_complex_float* a,
+                    lapack_int* lda, lapack_complex_float* tau,
+                    lapack_complex_float* work, lapack_int* lwork,
+                    lapack_int *info );
+void LAPACK_zgeqrf( lapack_int* m, lapack_int* n, lapack_complex_double* a,
+                    lapack_int* lda, lapack_complex_double* tau,
+                    lapack_complex_double* work, lapack_int* lwork,
+                    lapack_int *info );
+void LAPACK_sgeqpf( lapack_int* m, lapack_int* n, float* a, lapack_int* lda,
+                    lapack_int* jpvt, float* tau, float* work,
+                    lapack_int *info );
+void LAPACK_dgeqpf( lapack_int* m, lapack_int* n, double* a, lapack_int* lda,
+                    lapack_int* jpvt, double* tau, double* work,
+                    lapack_int *info );
+void LAPACK_cgeqpf( lapack_int* m, lapack_int* n, lapack_complex_float* a,
+                    lapack_int* lda, lapack_int* jpvt,
+                    lapack_complex_float* tau, lapack_complex_float* work,
+                    float* rwork, lapack_int *info );
+void LAPACK_zgeqpf( lapack_int* m, lapack_int* n, lapack_complex_double* a,
+                    lapack_int* lda, lapack_int* jpvt,
+                    lapack_complex_double* tau, lapack_complex_double* work,
+                    double* rwork, lapack_int *info );
+void LAPACK_sgeqp3( lapack_int* m, lapack_int* n, float* a, lapack_int* lda,
+                    lapack_int* jpvt, float* tau, float* work,
+                    lapack_int* lwork, lapack_int *info );
+void LAPACK_dgeqp3( lapack_int* m, lapack_int* n, double* a, lapack_int* lda,
+                    lapack_int* jpvt, double* tau, double* work,
+                    lapack_int* lwork, lapack_int *info );
+void LAPACK_cgeqp3( lapack_int* m, lapack_int* n, lapack_complex_float* a,
+                    lapack_int* lda, lapack_int* jpvt,
+                    lapack_complex_float* tau, lapack_complex_float* work,
+                    lapack_int* lwork, float* rwork, lapack_int *info );
+void LAPACK_zgeqp3( lapack_int* m, lapack_int* n, lapack_complex_double* a,
+                    lapack_int* lda, lapack_int* jpvt,
+                    lapack_complex_double* tau, lapack_complex_double* work,
+                    lapack_int* lwork, double* rwork, lapack_int *info );
+void LAPACK_sorgqr( lapack_int* m, lapack_int* n, lapack_int* k, float* a,
+                    lapack_int* lda, const float* tau, float* work,
+                    lapack_int* lwork, lapack_int *info );
+void LAPACK_dorgqr( lapack_int* m, lapack_int* n, lapack_int* k, double* a,
+                    lapack_int* lda, const double* tau, double* work,
+                    lapack_int* lwork, lapack_int *info );
+void LAPACK_sormqr( char* side, char* trans, lapack_int* m, lapack_int* n,
+                    lapack_int* k, const float* a, lapack_int* lda,
+                    const float* tau, float* c, lapack_int* ldc, float* work,
+                    lapack_int* lwork, lapack_int *info );
+void LAPACK_dormqr( char* side, char* trans, lapack_int* m, lapack_int* n,
+                    lapack_int* k, const double* a, lapack_int* lda,
+                    const double* tau, double* c, lapack_int* ldc, double* work,
+                    lapack_int* lwork, lapack_int *info );
+void LAPACK_cungqr( lapack_int* m, lapack_int* n, lapack_int* k,
+                    lapack_complex_float* a, lapack_int* lda,
+                    const lapack_complex_float* tau, lapack_complex_float* work,
+                    lapack_int* lwork, lapack_int *info );
+void LAPACK_zungqr( lapack_int* m, lapack_int* n, lapack_int* k,
+                    lapack_complex_double* a, lapack_int* lda,
+                    const lapack_complex_double* tau,
+                    lapack_complex_double* work, lapack_int* lwork,
+                    lapack_int *info );
+void LAPACK_cunmqr( char* side, char* trans, lapack_int* m, lapack_int* n,
+                    lapack_int* k, const lapack_complex_float* a,
+                    lapack_int* lda, const lapack_complex_float* tau,
+                    lapack_complex_float* c, lapack_int* ldc,
+                    lapack_complex_float* work, lapack_int* lwork,
+                    lapack_int *info );
+void LAPACK_zunmqr( char* side, char* trans, lapack_int* m, lapack_int* n,
+                    lapack_int* k, const lapack_complex_double* a,
+                    lapack_int* lda, const lapack_complex_double* tau,
+                    lapack_complex_double* c, lapack_int* ldc,
+                    lapack_complex_double* work, lapack_int* lwork,
+                    lapack_int *info );
+void LAPACK_sgelqf( lapack_int* m, lapack_int* n, float* a, lapack_int* lda,
+                    float* tau, float* work, lapack_int* lwork,
+                    lapack_int *info );
+void LAPACK_dgelqf( lapack_int* m, lapack_int* n, double* a, lapack_int* lda,
+                    double* tau, double* work, lapack_int* lwork,
+                    lapack_int *info );
+void LAPACK_cgelqf( lapack_int* m, lapack_int* n, lapack_complex_float* a,
+                    lapack_int* lda, lapack_complex_float* tau,
+                    lapack_complex_float* work, lapack_int* lwork,
+                    lapack_int *info );
+void LAPACK_zgelqf( lapack_int* m, lapack_int* n, lapack_complex_double* a,
+                    lapack_int* lda, lapack_complex_double* tau,
+                    lapack_complex_double* work, lapack_int* lwork,
+                    lapack_int *info );
+void LAPACK_sorglq( lapack_int* m, lapack_int* n, lapack_int* k, float* a,
+                    lapack_int* lda, const float* tau, float* work,
+                    lapack_int* lwork, lapack_int *info );
+void LAPACK_dorglq( lapack_int* m, lapack_int* n, lapack_int* k, double* a,
+                    lapack_int* lda, const double* tau, double* work,
+                    lapack_int* lwork, lapack_int *info );
+void LAPACK_sormlq( char* side, char* trans, lapack_int* m, lapack_int* n,
+                    lapack_int* k, const float* a, lapack_int* lda,
+                    const float* tau, float* c, lapack_int* ldc, float* work,
+                    lapack_int* lwork, lapack_int *info );
+void LAPACK_dormlq( char* side, char* trans, lapack_int* m, lapack_int* n,
+                    lapack_int* k, const double* a, lapack_int* lda,
+                    const double* tau, double* c, lapack_int* ldc, double* work,
+                    lapack_int* lwork, lapack_int *info );
+void LAPACK_cunglq( lapack_int* m, lapack_int* n, lapack_int* k,
+                    lapack_complex_float* a, lapack_int* lda,
+                    const lapack_complex_float* tau, lapack_complex_float* work,
+                    lapack_int* lwork, lapack_int *info );
+void LAPACK_zunglq( lapack_int* m, lapack_int* n, lapack_int* k,
+                    lapack_complex_double* a, lapack_int* lda,
+                    const lapack_complex_double* tau,
+                    lapack_complex_double* work, lapack_int* lwork,
+                    lapack_int *info );
+void LAPACK_cunmlq( char* side, char* trans, lapack_int* m, lapack_int* n,
+                    lapack_int* k, const lapack_complex_float* a,
+                    lapack_int* lda, const lapack_complex_float* tau,
+                    lapack_complex_float* c, lapack_int* ldc,
+                    lapack_complex_float* work, lapack_int* lwork,
+                    lapack_int *info );
+void LAPACK_zunmlq( char* side, char* trans, lapack_int* m, lapack_int* n,
+                    lapack_int* k, const lapack_complex_double* a,
+                    lapack_int* lda, const lapack_complex_double* tau,
+                    lapack_complex_double* c, lapack_int* ldc,
+                    lapack_complex_double* work, lapack_int* lwork,
+                    lapack_int *info );
+void LAPACK_sgeqlf( lapack_int* m, lapack_int* n, float* a, lapack_int* lda,
+                    float* tau, float* work, lapack_int* lwork,
+                    lapack_int *info );
+void LAPACK_dgeqlf( lapack_int* m, lapack_int* n, double* a, lapack_int* lda,
+                    double* tau, double* work, lapack_int* lwork,
+                    lapack_int *info );
+void LAPACK_cgeqlf( lapack_int* m, lapack_int* n, lapack_complex_float* a,
+                    lapack_int* lda, lapack_complex_float* tau,
+                    lapack_complex_float* work, lapack_int* lwork,
+                    lapack_int *info );
+void LAPACK_zgeqlf( lapack_int* m, lapack_int* n, lapack_complex_double* a,
+                    lapack_int* lda, lapack_complex_double* tau,
+                    lapack_complex_double* work, lapack_int* lwork,
+                    lapack_int *info );
+void LAPACK_sorgql( lapack_int* m, lapack_int* n, lapack_int* k, float* a,
+                    lapack_int* lda, const float* tau, float* work,
+                    lapack_int* lwork, lapack_int *info );
+void LAPACK_dorgql( lapack_int* m, lapack_int* n, lapack_int* k, double* a,
+                    lapack_int* lda, const double* tau, double* work,
+                    lapack_int* lwork, lapack_int *info );
+void LAPACK_cungql( lapack_int* m, lapack_int* n, lapack_int* k,
+                    lapack_complex_float* a, lapack_int* lda,
+                    const lapack_complex_float* tau, lapack_complex_float* work,
+                    lapack_int* lwork, lapack_int *info );
+void LAPACK_zungql( lapack_int* m, lapack_int* n, lapack_int* k,
+                    lapack_complex_double* a, lapack_int* lda,
+                    const lapack_complex_double* tau,
+                    lapack_complex_double* work, lapack_int* lwork,
+                    lapack_int *info );
+void LAPACK_sormql( char* side, char* trans, lapack_int* m, lapack_int* n,
+                    lapack_int* k, const float* a, lapack_int* lda,
+                    const float* tau, float* c, lapack_int* ldc, float* work,
+                    lapack_int* lwork, lapack_int *info );
+void LAPACK_dormql( char* side, char* trans, lapack_int* m, lapack_int* n,
+                    lapack_int* k, const double* a, lapack_int* lda,
+                    const double* tau, double* c, lapack_int* ldc, double* work,
+                    lapack_int* lwork, lapack_int *info );
+void LAPACK_cunmql( char* side, char* trans, lapack_int* m, lapack_int* n,
+                    lapack_int* k, const lapack_complex_float* a,
+                    lapack_int* lda, const lapack_complex_float* tau,
+                    lapack_complex_float* c, lapack_int* ldc,
+                    lapack_complex_float* work, lapack_int* lwork,
+                    lapack_int *info );
+void LAPACK_zunmql( char* side, char* trans, lapack_int* m, lapack_int* n,
+                    lapack_int* k, const lapack_complex_double* a,
+                    lapack_int* lda, const lapack_complex_double* tau,
+                    lapack_complex_double* c, lapack_int* ldc,
+                    lapack_complex_double* work, lapack_int* lwork,
+                    lapack_int *info );
+void LAPACK_sgerqf( lapack_int* m, lapack_int* n, float* a, lapack_int* lda,
+                    float* tau, float* work, lapack_int* lwork,
+                    lapack_int *info );
+void LAPACK_dgerqf( lapack_int* m, lapack_int* n, double* a, lapack_int* lda,
+                    double* tau, double* work, lapack_int* lwork,
+                    lapack_int *info );
+void LAPACK_cgerqf( lapack_int* m, lapack_int* n, lapack_complex_float* a,
+                    lapack_int* lda, lapack_complex_float* tau,
+                    lapack_complex_float* work, lapack_int* lwork,
+                    lapack_int *info );
+void LAPACK_zgerqf( lapack_int* m, lapack_int* n, lapack_complex_double* a,
+                    lapack_int* lda, lapack_complex_double* tau,
+                    lapack_complex_double* work, lapack_int* lwork,
+                    lapack_int *info );
+void LAPACK_sorgrq( lapack_int* m, lapack_int* n, lapack_int* k, float* a,
+                    lapack_int* lda, const float* tau, float* work,
+                    lapack_int* lwork, lapack_int *info );
+void LAPACK_dorgrq( lapack_int* m, lapack_int* n, lapack_int* k, double* a,
+                    lapack_int* lda, const double* tau, double* work,
+                    lapack_int* lwork, lapack_int *info );
+void LAPACK_cungrq( lapack_int* m, lapack_int* n, lapack_int* k,
+                    lapack_complex_float* a, lapack_int* lda,
+                    const lapack_complex_float* tau, lapack_complex_float* work,
+                    lapack_int* lwork, lapack_int *info );
+void LAPACK_zungrq( lapack_int* m, lapack_int* n, lapack_int* k,
+                    lapack_complex_double* a, lapack_int* lda,
+                    const lapack_complex_double* tau,
+                    lapack_complex_double* work, lapack_int* lwork,
+                    lapack_int *info );
+void LAPACK_sormrq( char* side, char* trans, lapack_int* m, lapack_int* n,
+                    lapack_int* k, const float* a, lapack_int* lda,
+                    const float* tau, float* c, lapack_int* ldc, float* work,
+                    lapack_int* lwork, lapack_int *info );
+void LAPACK_dormrq( char* side, char* trans, lapack_int* m, lapack_int* n,
+                    lapack_int* k, const double* a, lapack_int* lda,
+                    const double* tau, double* c, lapack_int* ldc, double* work,
+                    lapack_int* lwork, lapack_int *info );
+void LAPACK_cunmrq( char* side, char* trans, lapack_int* m, lapack_int* n,
+                    lapack_int* k, const lapack_complex_float* a,
+                    lapack_int* lda, const lapack_complex_float* tau,
+                    lapack_complex_float* c, lapack_int* ldc,
+                    lapack_complex_float* work, lapack_int* lwork,
+                    lapack_int *info );
+void LAPACK_zunmrq( char* side, char* trans, lapack_int* m, lapack_int* n,
+                    lapack_int* k, const lapack_complex_double* a,
+                    lapack_int* lda, const lapack_complex_double* tau,
+                    lapack_complex_double* c, lapack_int* ldc,
+                    lapack_complex_double* work, lapack_int* lwork,
+                    lapack_int *info );
+void LAPACK_stzrzf( lapack_int* m, lapack_int* n, float* a, lapack_int* lda,
+                    float* tau, float* work, lapack_int* lwork,
+                    lapack_int *info );
+void LAPACK_dtzrzf( lapack_int* m, lapack_int* n, double* a, lapack_int* lda,
+                    double* tau, double* work, lapack_int* lwork,
+                    lapack_int *info );
+void LAPACK_ctzrzf( lapack_int* m, lapack_int* n, lapack_complex_float* a,
+                    lapack_int* lda, lapack_complex_float* tau,
+                    lapack_complex_float* work, lapack_int* lwork,
+                    lapack_int *info );
+void LAPACK_ztzrzf( lapack_int* m, lapack_int* n, lapack_complex_double* a,
+                    lapack_int* lda, lapack_complex_double* tau,
+                    lapack_complex_double* work, lapack_int* lwork,
+                    lapack_int *info );
+void LAPACK_sormrz( char* side, char* trans, lapack_int* m, lapack_int* n,
+                    lapack_int* k, lapack_int* l, const float* a,
+                    lapack_int* lda, const float* tau, float* c,
+                    lapack_int* ldc, float* work, lapack_int* lwork,
+                    lapack_int *info );
+void LAPACK_dormrz( char* side, char* trans, lapack_int* m, lapack_int* n,
+                    lapack_int* k, lapack_int* l, const double* a,
+                    lapack_int* lda, const double* tau, double* c,
+                    lapack_int* ldc, double* work, lapack_int* lwork,
+                    lapack_int *info );
+void LAPACK_cunmrz( char* side, char* trans, lapack_int* m, lapack_int* n,
+                    lapack_int* k, lapack_int* l, const lapack_complex_float* a,
+                    lapack_int* lda, const lapack_complex_float* tau,
+                    lapack_complex_float* c, lapack_int* ldc,
+                    lapack_complex_float* work, lapack_int* lwork,
+                    lapack_int *info );
+void LAPACK_zunmrz( char* side, char* trans, lapack_int* m, lapack_int* n,
+                    lapack_int* k, lapack_int* l,
+                    const lapack_complex_double* a, lapack_int* lda,
+                    const lapack_complex_double* tau, lapack_complex_double* c,
+                    lapack_int* ldc, lapack_complex_double* work,
+                    lapack_int* lwork, lapack_int *info );
+void LAPACK_sggqrf( lapack_int* n, lapack_int* m, lapack_int* p, float* a,
+                    lapack_int* lda, float* taua, float* b, lapack_int* ldb,
+                    float* taub, float* work, lapack_int* lwork,
+                    lapack_int *info );
+void LAPACK_dggqrf( lapack_int* n, lapack_int* m, lapack_int* p, double* a,
+                    lapack_int* lda, double* taua, double* b, lapack_int* ldb,
+                    double* taub, double* work, lapack_int* lwork,
+                    lapack_int *info );
+void LAPACK_cggqrf( lapack_int* n, lapack_int* m, lapack_int* p,
+                    lapack_complex_float* a, lapack_int* lda,
+                    lapack_complex_float* taua, lapack_complex_float* b,
+                    lapack_int* ldb, lapack_complex_float* taub,
+                    lapack_complex_float* work, lapack_int* lwork,
+                    lapack_int *info );
+void LAPACK_zggqrf( lapack_int* n, lapack_int* m, lapack_int* p,
+                    lapack_complex_double* a, lapack_int* lda,
+                    lapack_complex_double* taua, lapack_complex_double* b,
+                    lapack_int* ldb, lapack_complex_double* taub,
+                    lapack_complex_double* work, lapack_int* lwork,
+                    lapack_int *info );
+void LAPACK_sggrqf( lapack_int* m, lapack_int* p, lapack_int* n, float* a,
+                    lapack_int* lda, float* taua, float* b, lapack_int* ldb,
+                    float* taub, float* work, lapack_int* lwork,
+                    lapack_int *info );
+void LAPACK_dggrqf( lapack_int* m, lapack_int* p, lapack_int* n, double* a,
+                    lapack_int* lda, double* taua, double* b, lapack_int* ldb,
+                    double* taub, double* work, lapack_int* lwork,
+                    lapack_int *info );
+void LAPACK_cggrqf( lapack_int* m, lapack_int* p, lapack_int* n,
+                    lapack_complex_float* a, lapack_int* lda,
+                    lapack_complex_float* taua, lapack_complex_float* b,
+                    lapack_int* ldb, lapack_complex_float* taub,
+                    lapack_complex_float* work, lapack_int* lwork,
+                    lapack_int *info );
+void LAPACK_zggrqf( lapack_int* m, lapack_int* p, lapack_int* n,
+                    lapack_complex_double* a, lapack_int* lda,
+                    lapack_complex_double* taua, lapack_complex_double* b,
+                    lapack_int* ldb, lapack_complex_double* taub,
+                    lapack_complex_double* work, lapack_int* lwork,
+                    lapack_int *info );
+void LAPACK_sgebrd( lapack_int* m, lapack_int* n, float* a, lapack_int* lda,
+                    float* d, float* e, float* tauq, float* taup, float* work,
+                    lapack_int* lwork, lapack_int *info );
+void LAPACK_dgebrd( lapack_int* m, lapack_int* n, double* a, lapack_int* lda,
+                    double* d, double* e, double* tauq, double* taup,
+                    double* work, lapack_int* lwork, lapack_int *info );
+void LAPACK_cgebrd( lapack_int* m, lapack_int* n, lapack_complex_float* a,
+                    lapack_int* lda, float* d, float* e,
+                    lapack_complex_float* tauq, lapack_complex_float* taup,
+                    lapack_complex_float* work, lapack_int* lwork,
+                    lapack_int *info );
+void LAPACK_zgebrd( lapack_int* m, lapack_int* n, lapack_complex_double* a,
+                    lapack_int* lda, double* d, double* e,
+                    lapack_complex_double* tauq, lapack_complex_double* taup,
+                    lapack_complex_double* work, lapack_int* lwork,
+                    lapack_int *info );
+void LAPACK_sgbbrd( char* vect, lapack_int* m, lapack_int* n, lapack_int* ncc,
+                    lapack_int* kl, lapack_int* ku, float* ab, lapack_int* ldab,
+                    float* d, float* e, float* q, lapack_int* ldq, float* pt,
+                    lapack_int* ldpt, float* c, lapack_int* ldc, float* work,
+                    lapack_int *info );
+void LAPACK_dgbbrd( char* vect, lapack_int* m, lapack_int* n, lapack_int* ncc,
+                    lapack_int* kl, lapack_int* ku, double* ab,
+                    lapack_int* ldab, double* d, double* e, double* q,
+                    lapack_int* ldq, double* pt, lapack_int* ldpt, double* c,
+                    lapack_int* ldc, double* work, lapack_int *info );
+void LAPACK_cgbbrd( char* vect, lapack_int* m, lapack_int* n, lapack_int* ncc,
+                    lapack_int* kl, lapack_int* ku, lapack_complex_float* ab,
+                    lapack_int* ldab, float* d, float* e,
+                    lapack_complex_float* q, lapack_int* ldq,
+                    lapack_complex_float* pt, lapack_int* ldpt,
+                    lapack_complex_float* c, lapack_int* ldc,
+                    lapack_complex_float* work, float* rwork,
+                    lapack_int *info );
+void LAPACK_zgbbrd( char* vect, lapack_int* m, lapack_int* n, lapack_int* ncc,
+                    lapack_int* kl, lapack_int* ku, lapack_complex_double* ab,
+                    lapack_int* ldab, double* d, double* e,
+                    lapack_complex_double* q, lapack_int* ldq,
+                    lapack_complex_double* pt, lapack_int* ldpt,
+                    lapack_complex_double* c, lapack_int* ldc,
+                    lapack_complex_double* work, double* rwork,
+                    lapack_int *info );
+void LAPACK_sorgbr( char* vect, lapack_int* m, lapack_int* n, lapack_int* k,
+                    float* a, lapack_int* lda, const float* tau, float* work,
+                    lapack_int* lwork, lapack_int *info );
+void LAPACK_dorgbr( char* vect, lapack_int* m, lapack_int* n, lapack_int* k,
+                    double* a, lapack_int* lda, const double* tau, double* work,
+                    lapack_int* lwork, lapack_int *info );
+void LAPACK_sormbr( char* vect, char* side, char* trans, lapack_int* m,
+                    lapack_int* n, lapack_int* k, const float* a,
+                    lapack_int* lda, const float* tau, float* c,
+                    lapack_int* ldc, float* work, lapack_int* lwork,
+                    lapack_int *info );
+void LAPACK_dormbr( char* vect, char* side, char* trans, lapack_int* m,
+                    lapack_int* n, lapack_int* k, const double* a,
+                    lapack_int* lda, const double* tau, double* c,
+                    lapack_int* ldc, double* work, lapack_int* lwork,
+                    lapack_int *info );
+void LAPACK_cungbr( char* vect, lapack_int* m, lapack_int* n, lapack_int* k,
+                    lapack_complex_float* a, lapack_int* lda,
+                    const lapack_complex_float* tau, lapack_complex_float* work,
+                    lapack_int* lwork, lapack_int *info );
+void LAPACK_zungbr( char* vect, lapack_int* m, lapack_int* n, lapack_int* k,
+                    lapack_complex_double* a, lapack_int* lda,
+                    const lapack_complex_double* tau,
+                    lapack_complex_double* work, lapack_int* lwork,
+                    lapack_int *info );
+void LAPACK_cunmbr( char* vect, char* side, char* trans, lapack_int* m,
+                    lapack_int* n, lapack_int* k, const lapack_complex_float* a,
+                    lapack_int* lda, const lapack_complex_float* tau,
+                    lapack_complex_float* c, lapack_int* ldc,
+                    lapack_complex_float* work, lapack_int* lwork,
+                    lapack_int *info );
+void LAPACK_zunmbr( char* vect, char* side, char* trans, lapack_int* m,
+                    lapack_int* n, lapack_int* k,
+                    const lapack_complex_double* a, lapack_int* lda,
+                    const lapack_complex_double* tau, lapack_complex_double* c,
+                    lapack_int* ldc, lapack_complex_double* work,
+                    lapack_int* lwork, lapack_int *info );
+void LAPACK_sbdsqr( char* uplo, lapack_int* n, lapack_int* ncvt,
+                    lapack_int* nru, lapack_int* ncc, float* d, float* e,
+                    float* vt, lapack_int* ldvt, float* u, lapack_int* ldu,
+                    float* c, lapack_int* ldc, float* work, lapack_int *info );
+void LAPACK_dbdsqr( char* uplo, lapack_int* n, lapack_int* ncvt,
+                    lapack_int* nru, lapack_int* ncc, double* d, double* e,
+                    double* vt, lapack_int* ldvt, double* u, lapack_int* ldu,
+                    double* c, lapack_int* ldc, double* work,
+                    lapack_int *info );
+void LAPACK_cbdsqr( char* uplo, lapack_int* n, lapack_int* ncvt,
+                    lapack_int* nru, lapack_int* ncc, float* d, float* e,
+                    lapack_complex_float* vt, lapack_int* ldvt,
+                    lapack_complex_float* u, lapack_int* ldu,
+                    lapack_complex_float* c, lapack_int* ldc, float* work,
+                    lapack_int *info );
+void LAPACK_zbdsqr( char* uplo, lapack_int* n, lapack_int* ncvt,
+                    lapack_int* nru, lapack_int* ncc, double* d, double* e,
+                    lapack_complex_double* vt, lapack_int* ldvt,
+                    lapack_complex_double* u, lapack_int* ldu,
+                    lapack_complex_double* c, lapack_int* ldc, double* work,
+                    lapack_int *info );
+void LAPACK_sbdsdc( char* uplo, char* compq, lapack_int* n, float* d, float* e,
+                    float* u, lapack_int* ldu, float* vt, lapack_int* ldvt,
+                    float* q, lapack_int* iq, float* work, lapack_int* iwork,
+                    lapack_int *info );
+void LAPACK_dbdsdc( char* uplo, char* compq, lapack_int* n, double* d,
+                    double* e, double* u, lapack_int* ldu, double* vt,
+                    lapack_int* ldvt, double* q, lapack_int* iq, double* work,
+                    lapack_int* iwork, lapack_int *info );
+void LAPACK_ssytrd( char* uplo, lapack_int* n, float* a, lapack_int* lda,
+                    float* d, float* e, float* tau, float* work,
+                    lapack_int* lwork, lapack_int *info );
+void LAPACK_dsytrd( char* uplo, lapack_int* n, double* a, lapack_int* lda,
+                    double* d, double* e, double* tau, double* work,
+                    lapack_int* lwork, lapack_int *info );
+void LAPACK_sorgtr( char* uplo, lapack_int* n, float* a, lapack_int* lda,
+                    const float* tau, float* work, lapack_int* lwork,
+                    lapack_int *info );
+void LAPACK_dorgtr( char* uplo, lapack_int* n, double* a, lapack_int* lda,
+                    const double* tau, double* work, lapack_int* lwork,
+                    lapack_int *info );
+void LAPACK_sormtr( char* side, char* uplo, char* trans, lapack_int* m,
+                    lapack_int* n, const float* a, lapack_int* lda,
+                    const float* tau, float* c, lapack_int* ldc, float* work,
+                    lapack_int* lwork, lapack_int *info );
+void LAPACK_dormtr( char* side, char* uplo, char* trans, lapack_int* m,
+                    lapack_int* n, const double* a, lapack_int* lda,
+                    const double* tau, double* c, lapack_int* ldc, double* work,
+                    lapack_int* lwork, lapack_int *info );
+void LAPACK_chetrd( char* uplo, lapack_int* n, lapack_complex_float* a,
+                    lapack_int* lda, float* d, float* e,
+                    lapack_complex_float* tau, lapack_complex_float* work,
+                    lapack_int* lwork, lapack_int *info );
+void LAPACK_zhetrd( char* uplo, lapack_int* n, lapack_complex_double* a,
+                    lapack_int* lda, double* d, double* e,
+                    lapack_complex_double* tau, lapack_complex_double* work,
+                    lapack_int* lwork, lapack_int *info );
+void LAPACK_cungtr( char* uplo, lapack_int* n, lapack_complex_float* a,
+                    lapack_int* lda, const lapack_complex_float* tau,
+                    lapack_complex_float* work, lapack_int* lwork,
+                    lapack_int *info );
+void LAPACK_zungtr( char* uplo, lapack_int* n, lapack_complex_double* a,
+                    lapack_int* lda, const lapack_complex_double* tau,
+                    lapack_complex_double* work, lapack_int* lwork,
+                    lapack_int *info );
+void LAPACK_cunmtr( char* side, char* uplo, char* trans, lapack_int* m,
+                    lapack_int* n, const lapack_complex_float* a,
+                    lapack_int* lda, const lapack_complex_float* tau,
+                    lapack_complex_float* c, lapack_int* ldc,
+                    lapack_complex_float* work, lapack_int* lwork,
+                    lapack_int *info );
+void LAPACK_zunmtr( char* side, char* uplo, char* trans, lapack_int* m,
+                    lapack_int* n, const lapack_complex_double* a,
+                    lapack_int* lda, const lapack_complex_double* tau,
+                    lapack_complex_double* c, lapack_int* ldc,
+                    lapack_complex_double* work, lapack_int* lwork,
+                    lapack_int *info );
+void LAPACK_ssptrd( char* uplo, lapack_int* n, float* ap, float* d, float* e,
+                    float* tau, lapack_int *info );
+void LAPACK_dsptrd( char* uplo, lapack_int* n, double* ap, double* d, double* e,
+                    double* tau, lapack_int *info );
+void LAPACK_sopgtr( char* uplo, lapack_int* n, const float* ap,
+                    const float* tau, float* q, lapack_int* ldq, float* work,
+                    lapack_int *info );
+void LAPACK_dopgtr( char* uplo, lapack_int* n, const double* ap,
+                    const double* tau, double* q, lapack_int* ldq, double* work,
+                    lapack_int *info );
+void LAPACK_sopmtr( char* side, char* uplo, char* trans, lapack_int* m,
+                    lapack_int* n, const float* ap, const float* tau, float* c,
+                    lapack_int* ldc, float* work, lapack_int *info );
+void LAPACK_dopmtr( char* side, char* uplo, char* trans, lapack_int* m,
+                    lapack_int* n, const double* ap, const double* tau,
+                    double* c, lapack_int* ldc, double* work,
+                    lapack_int *info );
+void LAPACK_chptrd( char* uplo, lapack_int* n, lapack_complex_float* ap,
+                    float* d, float* e, lapack_complex_float* tau,
+                    lapack_int *info );
+void LAPACK_zhptrd( char* uplo, lapack_int* n, lapack_complex_double* ap,
+                    double* d, double* e, lapack_complex_double* tau,
+                    lapack_int *info );
+void LAPACK_cupgtr( char* uplo, lapack_int* n, const lapack_complex_float* ap,
+                    const lapack_complex_float* tau, lapack_complex_float* q,
+                    lapack_int* ldq, lapack_complex_float* work,
+                    lapack_int *info );
+void LAPACK_zupgtr( char* uplo, lapack_int* n, const lapack_complex_double* ap,
+                    const lapack_complex_double* tau, lapack_complex_double* q,
+                    lapack_int* ldq, lapack_complex_double* work,
+                    lapack_int *info );
+void LAPACK_cupmtr( char* side, char* uplo, char* trans, lapack_int* m,
+                    lapack_int* n, const lapack_complex_float* ap,
+                    const lapack_complex_float* tau, lapack_complex_float* c,
+                    lapack_int* ldc, lapack_complex_float* work,
+                    lapack_int *info );
+void LAPACK_zupmtr( char* side, char* uplo, char* trans, lapack_int* m,
+                    lapack_int* n, const lapack_complex_double* ap,
+                    const lapack_complex_double* tau, lapack_complex_double* c,
+                    lapack_int* ldc, lapack_complex_double* work,
+                    lapack_int *info );
+void LAPACK_ssbtrd( char* vect, char* uplo, lapack_int* n, lapack_int* kd,
+                    float* ab, lapack_int* ldab, float* d, float* e, float* q,
+                    lapack_int* ldq, float* work, lapack_int *info );
+void LAPACK_dsbtrd( char* vect, char* uplo, lapack_int* n, lapack_int* kd,
+                    double* ab, lapack_int* ldab, double* d, double* e,
+                    double* q, lapack_int* ldq, double* work,
+                    lapack_int *info );
+void LAPACK_chbtrd( char* vect, char* uplo, lapack_int* n, lapack_int* kd,
+                    lapack_complex_float* ab, lapack_int* ldab, float* d,
+                    float* e, lapack_complex_float* q, lapack_int* ldq,
+                    lapack_complex_float* work, lapack_int *info );
+void LAPACK_zhbtrd( char* vect, char* uplo, lapack_int* n, lapack_int* kd,
+                    lapack_complex_double* ab, lapack_int* ldab, double* d,
+                    double* e, lapack_complex_double* q, lapack_int* ldq,
+                    lapack_complex_double* work, lapack_int *info );
+void LAPACK_ssterf( lapack_int* n, float* d, float* e, lapack_int *info );
+void LAPACK_dsterf( lapack_int* n, double* d, double* e, lapack_int *info );
+void LAPACK_ssteqr( char* compz, lapack_int* n, float* d, float* e, float* z,
+                    lapack_int* ldz, float* work, lapack_int *info );
+void LAPACK_dsteqr( char* compz, lapack_int* n, double* d, double* e, double* z,
+                    lapack_int* ldz, double* work, lapack_int *info );
+void LAPACK_csteqr( char* compz, lapack_int* n, float* d, float* e,
+                    lapack_complex_float* z, lapack_int* ldz, float* work,
+                    lapack_int *info );
+void LAPACK_zsteqr( char* compz, lapack_int* n, double* d, double* e,
+                    lapack_complex_double* z, lapack_int* ldz, double* work,
+                    lapack_int *info );
+void LAPACK_sstemr( char* jobz, char* range, lapack_int* n, float* d, float* e,
+                    float* vl, float* vu, lapack_int* il, lapack_int* iu,
+                    lapack_int* m, float* w, float* z, lapack_int* ldz,
+                    lapack_int* nzc, lapack_int* isuppz, lapack_logical* tryrac,
+                    float* work, lapack_int* lwork, lapack_int* iwork,
+                    lapack_int* liwork, lapack_int *info );
+void LAPACK_dstemr( char* jobz, char* range, lapack_int* n, double* d,
+                    double* e, double* vl, double* vu, lapack_int* il,
+                    lapack_int* iu, lapack_int* m, double* w, double* z,
+                    lapack_int* ldz, lapack_int* nzc, lapack_int* isuppz,
+                    lapack_logical* tryrac, double* work, lapack_int* lwork,
+                    lapack_int* iwork, lapack_int* liwork, lapack_int *info );
+void LAPACK_cstemr( char* jobz, char* range, lapack_int* n, float* d, float* e,
+                    float* vl, float* vu, lapack_int* il, lapack_int* iu,
+                    lapack_int* m, float* w, lapack_complex_float* z,
+                    lapack_int* ldz, lapack_int* nzc, lapack_int* isuppz,
+                    lapack_logical* tryrac, float* work, lapack_int* lwork,
+                    lapack_int* iwork, lapack_int* liwork, lapack_int *info );
+void LAPACK_zstemr( char* jobz, char* range, lapack_int* n, double* d,
+                    double* e, double* vl, double* vu, lapack_int* il,
+                    lapack_int* iu, lapack_int* m, double* w,
+                    lapack_complex_double* z, lapack_int* ldz, lapack_int* nzc,
+                    lapack_int* isuppz, lapack_logical* tryrac, double* work,
+                    lapack_int* lwork, lapack_int* iwork, lapack_int* liwork,
+                    lapack_int *info );
+void LAPACK_sstedc( char* compz, lapack_int* n, float* d, float* e, float* z,
+                    lapack_int* ldz, float* work, lapack_int* lwork,
+                    lapack_int* iwork, lapack_int* liwork, lapack_int *info );
+void LAPACK_dstedc( char* compz, lapack_int* n, double* d, double* e, double* z,
+                    lapack_int* ldz, double* work, lapack_int* lwork,
+                    lapack_int* iwork, lapack_int* liwork, lapack_int *info );
+void LAPACK_cstedc( char* compz, lapack_int* n, float* d, float* e,
+                    lapack_complex_float* z, lapack_int* ldz,
+                    lapack_complex_float* work, lapack_int* lwork, float* rwork,
+                    lapack_int* lrwork, lapack_int* iwork, lapack_int* liwork,
+                    lapack_int *info );
+void LAPACK_zstedc( char* compz, lapack_int* n, double* d, double* e,
+                    lapack_complex_double* z, lapack_int* ldz,
+                    lapack_complex_double* work, lapack_int* lwork,
+                    double* rwork, lapack_int* lrwork, lapack_int* iwork,
+                    lapack_int* liwork, lapack_int *info );
+void LAPACK_sstegr( char* jobz, char* range, lapack_int* n, float* d, float* e,
+                    float* vl, float* vu, lapack_int* il, lapack_int* iu,
+                    float* abstol, lapack_int* m, float* w, float* z,
+                    lapack_int* ldz, lapack_int* isuppz, float* work,
+                    lapack_int* lwork, lapack_int* iwork, lapack_int* liwork,
+                    lapack_int *info );
+void LAPACK_dstegr( char* jobz, char* range, lapack_int* n, double* d,
+                    double* e, double* vl, double* vu, lapack_int* il,
+                    lapack_int* iu, double* abstol, lapack_int* m, double* w,
+                    double* z, lapack_int* ldz, lapack_int* isuppz,
+                    double* work, lapack_int* lwork, lapack_int* iwork,
+                    lapack_int* liwork, lapack_int *info );
+void LAPACK_cstegr( char* jobz, char* range, lapack_int* n, float* d, float* e,
+                    float* vl, float* vu, lapack_int* il, lapack_int* iu,
+                    float* abstol, lapack_int* m, float* w,
+                    lapack_complex_float* z, lapack_int* ldz,
+                    lapack_int* isuppz, float* work, lapack_int* lwork,
+                    lapack_int* iwork, lapack_int* liwork, lapack_int *info );
+void LAPACK_zstegr( char* jobz, char* range, lapack_int* n, double* d,
+                    double* e, double* vl, double* vu, lapack_int* il,
+                    lapack_int* iu, double* abstol, lapack_int* m, double* w,
+                    lapack_complex_double* z, lapack_int* ldz,
+                    lapack_int* isuppz, double* work, lapack_int* lwork,
+                    lapack_int* iwork, lapack_int* liwork, lapack_int *info );
+void LAPACK_spteqr( char* compz, lapack_int* n, float* d, float* e, float* z,
+                    lapack_int* ldz, float* work, lapack_int *info );
+void LAPACK_dpteqr( char* compz, lapack_int* n, double* d, double* e, double* z,
+                    lapack_int* ldz, double* work, lapack_int *info );
+void LAPACK_cpteqr( char* compz, lapack_int* n, float* d, float* e,
+                    lapack_complex_float* z, lapack_int* ldz, float* work,
+                    lapack_int *info );
+void LAPACK_zpteqr( char* compz, lapack_int* n, double* d, double* e,
+                    lapack_complex_double* z, lapack_int* ldz, double* work,
+                    lapack_int *info );
+void LAPACK_sstebz( char* range, char* order, lapack_int* n, float* vl,
+                    float* vu, lapack_int* il, lapack_int* iu, float* abstol,
+                    const float* d, const float* e, lapack_int* m,
+                    lapack_int* nsplit, float* w, lapack_int* iblock,
+                    lapack_int* isplit, float* work, lapack_int* iwork,
+                    lapack_int *info );
+void LAPACK_dstebz( char* range, char* order, lapack_int* n, double* vl,
+                    double* vu, lapack_int* il, lapack_int* iu, double* abstol,
+                    const double* d, const double* e, lapack_int* m,
+                    lapack_int* nsplit, double* w, lapack_int* iblock,
+                    lapack_int* isplit, double* work, lapack_int* iwork,
+                    lapack_int *info );
+void LAPACK_sstein( lapack_int* n, const float* d, const float* e,
+                    lapack_int* m, const float* w, const lapack_int* iblock,
+                    const lapack_int* isplit, float* z, lapack_int* ldz,
+                    float* work, lapack_int* iwork, lapack_int* ifailv,
+                    lapack_int *info );
+void LAPACK_dstein( lapack_int* n, const double* d, const double* e,
+                    lapack_int* m, const double* w, const lapack_int* iblock,
+                    const lapack_int* isplit, double* z, lapack_int* ldz,
+                    double* work, lapack_int* iwork, lapack_int* ifailv,
+                    lapack_int *info );
+void LAPACK_cstein( lapack_int* n, const float* d, const float* e,
+                    lapack_int* m, const float* w, const lapack_int* iblock,
+                    const lapack_int* isplit, lapack_complex_float* z,
+                    lapack_int* ldz, float* work, lapack_int* iwork,
+                    lapack_int* ifailv, lapack_int *info );
+void LAPACK_zstein( lapack_int* n, const double* d, const double* e,
+                    lapack_int* m, const double* w, const lapack_int* iblock,
+                    const lapack_int* isplit, lapack_complex_double* z,
+                    lapack_int* ldz, double* work, lapack_int* iwork,
+                    lapack_int* ifailv, lapack_int *info );
+void LAPACK_sdisna( char* job, lapack_int* m, lapack_int* n, const float* d,
+                    float* sep, lapack_int *info );
+void LAPACK_ddisna( char* job, lapack_int* m, lapack_int* n, const double* d,
+                    double* sep, lapack_int *info );
+void LAPACK_ssygst( lapack_int* itype, char* uplo, lapack_int* n, float* a,
+                    lapack_int* lda, const float* b, lapack_int* ldb,
+                    lapack_int *info );
+void LAPACK_dsygst( lapack_int* itype, char* uplo, lapack_int* n, double* a,
+                    lapack_int* lda, const double* b, lapack_int* ldb,
+                    lapack_int *info );
+void LAPACK_chegst( lapack_int* itype, char* uplo, lapack_int* n,
+                    lapack_complex_float* a, lapack_int* lda,
+                    const lapack_complex_float* b, lapack_int* ldb,
+                    lapack_int *info );
+void LAPACK_zhegst( lapack_int* itype, char* uplo, lapack_int* n,
+                    lapack_complex_double* a, lapack_int* lda,
+                    const lapack_complex_double* b, lapack_int* ldb,
+                    lapack_int *info );
+void LAPACK_sspgst( lapack_int* itype, char* uplo, lapack_int* n, float* ap,
+                    const float* bp, lapack_int *info );
+void LAPACK_dspgst( lapack_int* itype, char* uplo, lapack_int* n, double* ap,
+                    const double* bp, lapack_int *info );
+void LAPACK_chpgst( lapack_int* itype, char* uplo, lapack_int* n,
+                    lapack_complex_float* ap, const lapack_complex_float* bp,
+                    lapack_int *info );
+void LAPACK_zhpgst( lapack_int* itype, char* uplo, lapack_int* n,
+                    lapack_complex_double* ap, const lapack_complex_double* bp,
+                    lapack_int *info );
+void LAPACK_ssbgst( char* vect, char* uplo, lapack_int* n, lapack_int* ka,
+                    lapack_int* kb, float* ab, lapack_int* ldab,
+                    const float* bb, lapack_int* ldbb, float* x,
+                    lapack_int* ldx, float* work, lapack_int *info );
+void LAPACK_dsbgst( char* vect, char* uplo, lapack_int* n, lapack_int* ka,
+                    lapack_int* kb, double* ab, lapack_int* ldab,
+                    const double* bb, lapack_int* ldbb, double* x,
+                    lapack_int* ldx, double* work, lapack_int *info );
+void LAPACK_chbgst( char* vect, char* uplo, lapack_int* n, lapack_int* ka,
+                    lapack_int* kb, lapack_complex_float* ab, lapack_int* ldab,
+                    const lapack_complex_float* bb, lapack_int* ldbb,
+                    lapack_complex_float* x, lapack_int* ldx,
+                    lapack_complex_float* work, float* rwork,
+                    lapack_int *info );
+void LAPACK_zhbgst( char* vect, char* uplo, lapack_int* n, lapack_int* ka,
+                    lapack_int* kb, lapack_complex_double* ab, lapack_int* ldab,
+                    const lapack_complex_double* bb, lapack_int* ldbb,
+                    lapack_complex_double* x, lapack_int* ldx,
+                    lapack_complex_double* work, double* rwork,
+                    lapack_int *info );
+void LAPACK_spbstf( char* uplo, lapack_int* n, lapack_int* kb, float* bb,
+                    lapack_int* ldbb, lapack_int *info );
+void LAPACK_dpbstf( char* uplo, lapack_int* n, lapack_int* kb, double* bb,
+                    lapack_int* ldbb, lapack_int *info );
+void LAPACK_cpbstf( char* uplo, lapack_int* n, lapack_int* kb,
+                    lapack_complex_float* bb, lapack_int* ldbb,
+                    lapack_int *info );
+void LAPACK_zpbstf( char* uplo, lapack_int* n, lapack_int* kb,
+                    lapack_complex_double* bb, lapack_int* ldbb,
+                    lapack_int *info );
+void LAPACK_sgehrd( lapack_int* n, lapack_int* ilo, lapack_int* ihi, float* a,
+                    lapack_int* lda, float* tau, float* work, lapack_int* lwork,
+                    lapack_int *info );
+void LAPACK_dgehrd( lapack_int* n, lapack_int* ilo, lapack_int* ihi, double* a,
+                    lapack_int* lda, double* tau, double* work,
+                    lapack_int* lwork, lapack_int *info );
+void LAPACK_cgehrd( lapack_int* n, lapack_int* ilo, lapack_int* ihi,
+                    lapack_complex_float* a, lapack_int* lda,
+                    lapack_complex_float* tau, lapack_complex_float* work,
+                    lapack_int* lwork, lapack_int *info );
+void LAPACK_zgehrd( lapack_int* n, lapack_int* ilo, lapack_int* ihi,
+                    lapack_complex_double* a, lapack_int* lda,
+                    lapack_complex_double* tau, lapack_complex_double* work,
+                    lapack_int* lwork, lapack_int *info );
+void LAPACK_sorghr( lapack_int* n, lapack_int* ilo, lapack_int* ihi, float* a,
+                    lapack_int* lda, const float* tau, float* work,
+                    lapack_int* lwork, lapack_int *info );
+void LAPACK_dorghr( lapack_int* n, lapack_int* ilo, lapack_int* ihi, double* a,
+                    lapack_int* lda, const double* tau, double* work,
+                    lapack_int* lwork, lapack_int *info );
+void LAPACK_sormhr( char* side, char* trans, lapack_int* m, lapack_int* n,
+                    lapack_int* ilo, lapack_int* ihi, const float* a,
+                    lapack_int* lda, const float* tau, float* c,
+                    lapack_int* ldc, float* work, lapack_int* lwork,
+                    lapack_int *info );
+void LAPACK_dormhr( char* side, char* trans, lapack_int* m, lapack_int* n,
+                    lapack_int* ilo, lapack_int* ihi, const double* a,
+                    lapack_int* lda, const double* tau, double* c,
+                    lapack_int* ldc, double* work, lapack_int* lwork,
+                    lapack_int *info );
+void LAPACK_cunghr( lapack_int* n, lapack_int* ilo, lapack_int* ihi,
+                    lapack_complex_float* a, lapack_int* lda,
+                    const lapack_complex_float* tau, lapack_complex_float* work,
+                    lapack_int* lwork, lapack_int *info );
+void LAPACK_zunghr( lapack_int* n, lapack_int* ilo, lapack_int* ihi,
+                    lapack_complex_double* a, lapack_int* lda,
+                    const lapack_complex_double* tau,
+                    lapack_complex_double* work, lapack_int* lwork,
+                    lapack_int *info );
+void LAPACK_cunmhr( char* side, char* trans, lapack_int* m, lapack_int* n,
+                    lapack_int* ilo, lapack_int* ihi,
+                    const lapack_complex_float* a, lapack_int* lda,
+                    const lapack_complex_float* tau, lapack_complex_float* c,
+                    lapack_int* ldc, lapack_complex_float* work,
+                    lapack_int* lwork, lapack_int *info );
+void LAPACK_zunmhr( char* side, char* trans, lapack_int* m, lapack_int* n,
+                    lapack_int* ilo, lapack_int* ihi,
+                    const lapack_complex_double* a, lapack_int* lda,
+                    const lapack_complex_double* tau, lapack_complex_double* c,
+                    lapack_int* ldc, lapack_complex_double* work,
+                    lapack_int* lwork, lapack_int *info );
+void LAPACK_sgebal( char* job, lapack_int* n, float* a, lapack_int* lda,
+                    lapack_int* ilo, lapack_int* ihi, float* scale,
+                    lapack_int *info );
+void LAPACK_dgebal( char* job, lapack_int* n, double* a, lapack_int* lda,
+                    lapack_int* ilo, lapack_int* ihi, double* scale,
+                    lapack_int *info );
+void LAPACK_cgebal( char* job, lapack_int* n, lapack_complex_float* a,
+                    lapack_int* lda, lapack_int* ilo, lapack_int* ihi,
+                    float* scale, lapack_int *info );
+void LAPACK_zgebal( char* job, lapack_int* n, lapack_complex_double* a,
+                    lapack_int* lda, lapack_int* ilo, lapack_int* ihi,
+                    double* scale, lapack_int *info );
+void LAPACK_sgebak( char* job, char* side, lapack_int* n, lapack_int* ilo,
+                    lapack_int* ihi, const float* scale, lapack_int* m,
+                    float* v, lapack_int* ldv, lapack_int *info );
+void LAPACK_dgebak( char* job, char* side, lapack_int* n, lapack_int* ilo,
+                    lapack_int* ihi, const double* scale, lapack_int* m,
+                    double* v, lapack_int* ldv, lapack_int *info );
+void LAPACK_cgebak( char* job, char* side, lapack_int* n, lapack_int* ilo,
+                    lapack_int* ihi, const float* scale, lapack_int* m,
+                    lapack_complex_float* v, lapack_int* ldv,
+                    lapack_int *info );
+void LAPACK_zgebak( char* job, char* side, lapack_int* n, lapack_int* ilo,
+                    lapack_int* ihi, const double* scale, lapack_int* m,
+                    lapack_complex_double* v, lapack_int* ldv,
+                    lapack_int *info );
+void LAPACK_shseqr( char* job, char* compz, lapack_int* n, lapack_int* ilo,
+                    lapack_int* ihi, float* h, lapack_int* ldh, float* wr,
+                    float* wi, float* z, lapack_int* ldz, float* work,
+                    lapack_int* lwork, lapack_int *info );
+void LAPACK_dhseqr( char* job, char* compz, lapack_int* n, lapack_int* ilo,
+                    lapack_int* ihi, double* h, lapack_int* ldh, double* wr,
+                    double* wi, double* z, lapack_int* ldz, double* work,
+                    lapack_int* lwork, lapack_int *info );
+void LAPACK_chseqr( char* job, char* compz, lapack_int* n, lapack_int* ilo,
+                    lapack_int* ihi, lapack_complex_float* h, lapack_int* ldh,
+                    lapack_complex_float* w, lapack_complex_float* z,
+                    lapack_int* ldz, lapack_complex_float* work,
+                    lapack_int* lwork, lapack_int *info );
+void LAPACK_zhseqr( char* job, char* compz, lapack_int* n, lapack_int* ilo,
+                    lapack_int* ihi, lapack_complex_double* h, lapack_int* ldh,
+                    lapack_complex_double* w, lapack_complex_double* z,
+                    lapack_int* ldz, lapack_complex_double* work,
+                    lapack_int* lwork, lapack_int *info );
+void LAPACK_shsein( char* job, char* eigsrc, char* initv,
+                    lapack_logical* select, lapack_int* n, const float* h,
+                    lapack_int* ldh, float* wr, const float* wi, float* vl,
+                    lapack_int* ldvl, float* vr, lapack_int* ldvr,
+                    lapack_int* mm, lapack_int* m, float* work,
+                    lapack_int* ifaill, lapack_int* ifailr, lapack_int *info );
+void LAPACK_dhsein( char* job, char* eigsrc, char* initv,
+                    lapack_logical* select, lapack_int* n, const double* h,
+                    lapack_int* ldh, double* wr, const double* wi, double* vl,
+                    lapack_int* ldvl, double* vr, lapack_int* ldvr,
+                    lapack_int* mm, lapack_int* m, double* work,
+                    lapack_int* ifaill, lapack_int* ifailr, lapack_int *info );
+void LAPACK_chsein( char* job, char* eigsrc, char* initv,
+                    const lapack_logical* select, lapack_int* n,
+                    const lapack_complex_float* h, lapack_int* ldh,
+                    lapack_complex_float* w, lapack_complex_float* vl,
+                    lapack_int* ldvl, lapack_complex_float* vr,
+                    lapack_int* ldvr, lapack_int* mm, lapack_int* m,
+                    lapack_complex_float* work, float* rwork,
+                    lapack_int* ifaill, lapack_int* ifailr, lapack_int *info );
+void LAPACK_zhsein( char* job, char* eigsrc, char* initv,
+                    const lapack_logical* select, lapack_int* n,
+                    const lapack_complex_double* h, lapack_int* ldh,
+                    lapack_complex_double* w, lapack_complex_double* vl,
+                    lapack_int* ldvl, lapack_complex_double* vr,
+                    lapack_int* ldvr, lapack_int* mm, lapack_int* m,
+                    lapack_complex_double* work, double* rwork,
+                    lapack_int* ifaill, lapack_int* ifailr, lapack_int *info );
+void LAPACK_strevc( char* side, char* howmny, lapack_logical* select,
+                    lapack_int* n, const float* t, lapack_int* ldt, float* vl,
+                    lapack_int* ldvl, float* vr, lapack_int* ldvr,
+                    lapack_int* mm, lapack_int* m, float* work,
+                    lapack_int *info );
+void LAPACK_dtrevc( char* side, char* howmny, lapack_logical* select,
+                    lapack_int* n, const double* t, lapack_int* ldt, double* vl,
+                    lapack_int* ldvl, double* vr, lapack_int* ldvr,
+                    lapack_int* mm, lapack_int* m, double* work,
+                    lapack_int *info );
+void LAPACK_ctrevc( char* side, char* howmny, const lapack_logical* select,
+                    lapack_int* n, lapack_complex_float* t, lapack_int* ldt,
+                    lapack_complex_float* vl, lapack_int* ldvl,
+                    lapack_complex_float* vr, lapack_int* ldvr, lapack_int* mm,
+                    lapack_int* m, lapack_complex_float* work, float* rwork,
+                    lapack_int *info );
+void LAPACK_ztrevc( char* side, char* howmny, const lapack_logical* select,
+                    lapack_int* n, lapack_complex_double* t, lapack_int* ldt,
+                    lapack_complex_double* vl, lapack_int* ldvl,
+                    lapack_complex_double* vr, lapack_int* ldvr, lapack_int* mm,
+                    lapack_int* m, lapack_complex_double* work, double* rwork,
+                    lapack_int *info );
+void LAPACK_strsna( char* job, char* howmny, const lapack_logical* select,
+                    lapack_int* n, const float* t, lapack_int* ldt,
+                    const float* vl, lapack_int* ldvl, const float* vr,
+                    lapack_int* ldvr, float* s, float* sep, lapack_int* mm,
+                    lapack_int* m, float* work, lapack_int* ldwork,
+                    lapack_int* iwork, lapack_int *info );
+void LAPACK_dtrsna( char* job, char* howmny, const lapack_logical* select,
+                    lapack_int* n, const double* t, lapack_int* ldt,
+                    const double* vl, lapack_int* ldvl, const double* vr,
+                    lapack_int* ldvr, double* s, double* sep, lapack_int* mm,
+                    lapack_int* m, double* work, lapack_int* ldwork,
+                    lapack_int* iwork, lapack_int *info );
+void LAPACK_ctrsna( char* job, char* howmny, const lapack_logical* select,
+                    lapack_int* n, const lapack_complex_float* t,
+                    lapack_int* ldt, const lapack_complex_float* vl,
+                    lapack_int* ldvl, const lapack_complex_float* vr,
+                    lapack_int* ldvr, float* s, float* sep, lapack_int* mm,
+                    lapack_int* m, lapack_complex_float* work,
+                    lapack_int* ldwork, float* rwork, lapack_int *info );
+void LAPACK_ztrsna( char* job, char* howmny, const lapack_logical* select,
+                    lapack_int* n, const lapack_complex_double* t,
+                    lapack_int* ldt, const lapack_complex_double* vl,
+                    lapack_int* ldvl, const lapack_complex_double* vr,
+                    lapack_int* ldvr, double* s, double* sep, lapack_int* mm,
+                    lapack_int* m, lapack_complex_double* work,
+                    lapack_int* ldwork, double* rwork, lapack_int *info );
+void LAPACK_strexc( char* compq, lapack_int* n, float* t, lapack_int* ldt,
+                    float* q, lapack_int* ldq, lapack_int* ifst,
+                    lapack_int* ilst, float* work, lapack_int *info );
+void LAPACK_dtrexc( char* compq, lapack_int* n, double* t, lapack_int* ldt,
+                    double* q, lapack_int* ldq, lapack_int* ifst,
+                    lapack_int* ilst, double* work, lapack_int *info );
+void LAPACK_ctrexc( char* compq, lapack_int* n, lapack_complex_float* t,
+                    lapack_int* ldt, lapack_complex_float* q, lapack_int* ldq,
+                    lapack_int* ifst, lapack_int* ilst, lapack_int *info );
+void LAPACK_ztrexc( char* compq, lapack_int* n, lapack_complex_double* t,
+                    lapack_int* ldt, lapack_complex_double* q, lapack_int* ldq,
+                    lapack_int* ifst, lapack_int* ilst, lapack_int *info );
+void LAPACK_strsen( char* job, char* compq, const lapack_logical* select,
+                    lapack_int* n, float* t, lapack_int* ldt, float* q,
+                    lapack_int* ldq, float* wr, float* wi, lapack_int* m,
+                    float* s, float* sep, float* work, lapack_int* lwork,
+                    lapack_int* iwork, lapack_int* liwork, lapack_int *info );
+void LAPACK_dtrsen( char* job, char* compq, const lapack_logical* select,
+                    lapack_int* n, double* t, lapack_int* ldt, double* q,
+                    lapack_int* ldq, double* wr, double* wi, lapack_int* m,
+                    double* s, double* sep, double* work, lapack_int* lwork,
+                    lapack_int* iwork, lapack_int* liwork, lapack_int *info );
+void LAPACK_ctrsen( char* job, char* compq, const lapack_logical* select,
+                    lapack_int* n, lapack_complex_float* t, lapack_int* ldt,
+                    lapack_complex_float* q, lapack_int* ldq,
+                    lapack_complex_float* w, lapack_int* m, float* s,
+                    float* sep, lapack_complex_float* work, lapack_int* lwork,
+                    lapack_int *info );
+void LAPACK_ztrsen( char* job, char* compq, const lapack_logical* select,
+                    lapack_int* n, lapack_complex_double* t, lapack_int* ldt,
+                    lapack_complex_double* q, lapack_int* ldq,
+                    lapack_complex_double* w, lapack_int* m, double* s,
+                    double* sep, lapack_complex_double* work, lapack_int* lwork,
+                    lapack_int *info );
+void LAPACK_strsyl( char* trana, char* tranb, lapack_int* isgn, lapack_int* m,
+                    lapack_int* n, const float* a, lapack_int* lda,
+                    const float* b, lapack_int* ldb, float* c, lapack_int* ldc,
+                    float* scale, lapack_int *info );
+void LAPACK_dtrsyl( char* trana, char* tranb, lapack_int* isgn, lapack_int* m,
+                    lapack_int* n, const double* a, lapack_int* lda,
+                    const double* b, lapack_int* ldb, double* c,
+                    lapack_int* ldc, double* scale, lapack_int *info );
+void LAPACK_ctrsyl( char* trana, char* tranb, lapack_int* isgn, lapack_int* m,
+                    lapack_int* n, const lapack_complex_float* a,
+                    lapack_int* lda, const lapack_complex_float* b,
+                    lapack_int* ldb, lapack_complex_float* c, lapack_int* ldc,
+                    float* scale, lapack_int *info );
+void LAPACK_ztrsyl( char* trana, char* tranb, lapack_int* isgn, lapack_int* m,
+                    lapack_int* n, const lapack_complex_double* a,
+                    lapack_int* lda, const lapack_complex_double* b,
+                    lapack_int* ldb, lapack_complex_double* c, lapack_int* ldc,
+                    double* scale, lapack_int *info );
+void LAPACK_sgghrd( char* compq, char* compz, lapack_int* n, lapack_int* ilo,
+                    lapack_int* ihi, float* a, lapack_int* lda, float* b,
+                    lapack_int* ldb, float* q, lapack_int* ldq, float* z,
+                    lapack_int* ldz, lapack_int *info );
+void LAPACK_dgghrd( char* compq, char* compz, lapack_int* n, lapack_int* ilo,
+                    lapack_int* ihi, double* a, lapack_int* lda, double* b,
+                    lapack_int* ldb, double* q, lapack_int* ldq, double* z,
+                    lapack_int* ldz, lapack_int *info );
+void LAPACK_cgghrd( char* compq, char* compz, lapack_int* n, lapack_int* ilo,
+                    lapack_int* ihi, lapack_complex_float* a, lapack_int* lda,
+                    lapack_complex_float* b, lapack_int* ldb,
+                    lapack_complex_float* q, lapack_int* ldq,
+                    lapack_complex_float* z, lapack_int* ldz,
+                    lapack_int *info );
+void LAPACK_zgghrd( char* compq, char* compz, lapack_int* n, lapack_int* ilo,
+                    lapack_int* ihi, lapack_complex_double* a, lapack_int* lda,
+                    lapack_complex_double* b, lapack_int* ldb,
+                    lapack_complex_double* q, lapack_int* ldq,
+                    lapack_complex_double* z, lapack_int* ldz,
+                    lapack_int *info );
+void LAPACK_sggbal( char* job, lapack_int* n, float* a, lapack_int* lda,
+                    float* b, lapack_int* ldb, lapack_int* ilo, lapack_int* ihi,
+                    float* lscale, float* rscale, float* work,
+                    lapack_int *info );
+void LAPACK_dggbal( char* job, lapack_int* n, double* a, lapack_int* lda,
+                    double* b, lapack_int* ldb, lapack_int* ilo,
+                    lapack_int* ihi, double* lscale, double* rscale,
+                    double* work, lapack_int *info );
+void LAPACK_cggbal( char* job, lapack_int* n, lapack_complex_float* a,
+                    lapack_int* lda, lapack_complex_float* b, lapack_int* ldb,
+                    lapack_int* ilo, lapack_int* ihi, float* lscale,
+                    float* rscale, float* work, lapack_int *info );
+void LAPACK_zggbal( char* job, lapack_int* n, lapack_complex_double* a,
+                    lapack_int* lda, lapack_complex_double* b, lapack_int* ldb,
+                    lapack_int* ilo, lapack_int* ihi, double* lscale,
+                    double* rscale, double* work, lapack_int *info );
+void LAPACK_sggbak( char* job, char* side, lapack_int* n, lapack_int* ilo,
+                    lapack_int* ihi, const float* lscale, const float* rscale,
+                    lapack_int* m, float* v, lapack_int* ldv,
+                    lapack_int *info );
+void LAPACK_dggbak( char* job, char* side, lapack_int* n, lapack_int* ilo,
+                    lapack_int* ihi, const double* lscale, const double* rscale,
+                    lapack_int* m, double* v, lapack_int* ldv,
+                    lapack_int *info );
+void LAPACK_cggbak( char* job, char* side, lapack_int* n, lapack_int* ilo,
+                    lapack_int* ihi, const float* lscale, const float* rscale,
+                    lapack_int* m, lapack_complex_float* v, lapack_int* ldv,
+                    lapack_int *info );
+void LAPACK_zggbak( char* job, char* side, lapack_int* n, lapack_int* ilo,
+                    lapack_int* ihi, const double* lscale, const double* rscale,
+                    lapack_int* m, lapack_complex_double* v, lapack_int* ldv,
+                    lapack_int *info );
+void LAPACK_shgeqz( char* job, char* compq, char* compz, lapack_int* n,
+                    lapack_int* ilo, lapack_int* ihi, float* h, lapack_int* ldh,
+                    float* t, lapack_int* ldt, float* alphar, float* alphai,
+                    float* beta, float* q, lapack_int* ldq, float* z,
+                    lapack_int* ldz, float* work, lapack_int* lwork,
+                    lapack_int *info );
+void LAPACK_dhgeqz( char* job, char* compq, char* compz, lapack_int* n,
+                    lapack_int* ilo, lapack_int* ihi, double* h,
+                    lapack_int* ldh, double* t, lapack_int* ldt, double* alphar,
+                    double* alphai, double* beta, double* q, lapack_int* ldq,
+                    double* z, lapack_int* ldz, double* work, lapack_int* lwork,
+                    lapack_int *info );
+void LAPACK_chgeqz( char* job, char* compq, char* compz, lapack_int* n,
+                    lapack_int* ilo, lapack_int* ihi, lapack_complex_float* h,
+                    lapack_int* ldh, lapack_complex_float* t, lapack_int* ldt,
+                    lapack_complex_float* alpha, lapack_complex_float* beta,
+                    lapack_complex_float* q, lapack_int* ldq,
+                    lapack_complex_float* z, lapack_int* ldz,
+                    lapack_complex_float* work, lapack_int* lwork, float* rwork,
+                    lapack_int *info );
+void LAPACK_zhgeqz( char* job, char* compq, char* compz, lapack_int* n,
+                    lapack_int* ilo, lapack_int* ihi, lapack_complex_double* h,
+                    lapack_int* ldh, lapack_complex_double* t, lapack_int* ldt,
+                    lapack_complex_double* alpha, lapack_complex_double* beta,
+                    lapack_complex_double* q, lapack_int* ldq,
+                    lapack_complex_double* z, lapack_int* ldz,
+                    lapack_complex_double* work, lapack_int* lwork,
+                    double* rwork, lapack_int *info );
+void LAPACK_stgevc( char* side, char* howmny, const lapack_logical* select,
+                    lapack_int* n, const float* s, lapack_int* lds,
+                    const float* p, lapack_int* ldp, float* vl,
+                    lapack_int* ldvl, float* vr, lapack_int* ldvr,
+                    lapack_int* mm, lapack_int* m, float* work,
+                    lapack_int *info );
+void LAPACK_dtgevc( char* side, char* howmny, const lapack_logical* select,
+                    lapack_int* n, const double* s, lapack_int* lds,
+                    const double* p, lapack_int* ldp, double* vl,
+                    lapack_int* ldvl, double* vr, lapack_int* ldvr,
+                    lapack_int* mm, lapack_int* m, double* work,
+                    lapack_int *info );
+void LAPACK_ctgevc( char* side, char* howmny, const lapack_logical* select,
+                    lapack_int* n, const lapack_complex_float* s,
+                    lapack_int* lds, const lapack_complex_float* p,
+                    lapack_int* ldp, lapack_complex_float* vl, lapack_int* ldvl,
+                    lapack_complex_float* vr, lapack_int* ldvr, lapack_int* mm,
+                    lapack_int* m, lapack_complex_float* work, float* rwork,
+                    lapack_int *info );
+void LAPACK_ztgevc( char* side, char* howmny, const lapack_logical* select,
+                    lapack_int* n, const lapack_complex_double* s,
+                    lapack_int* lds, const lapack_complex_double* p,
+                    lapack_int* ldp, lapack_complex_double* vl,
+                    lapack_int* ldvl, lapack_complex_double* vr,
+                    lapack_int* ldvr, lapack_int* mm, lapack_int* m,
+                    lapack_complex_double* work, double* rwork,
+                    lapack_int *info );
+void LAPACK_stgexc( lapack_logical* wantq, lapack_logical* wantz, lapack_int* n,
+                    float* a, lapack_int* lda, float* b, lapack_int* ldb,
+                    float* q, lapack_int* ldq, float* z, lapack_int* ldz,
+                    lapack_int* ifst, lapack_int* ilst, float* work,
+                    lapack_int* lwork, lapack_int *info );
+void LAPACK_dtgexc( lapack_logical* wantq, lapack_logical* wantz, lapack_int* n,
+                    double* a, lapack_int* lda, double* b, lapack_int* ldb,
+                    double* q, lapack_int* ldq, double* z, lapack_int* ldz,
+                    lapack_int* ifst, lapack_int* ilst, double* work,
+                    lapack_int* lwork, lapack_int *info );
+void LAPACK_ctgexc( lapack_logical* wantq, lapack_logical* wantz, lapack_int* n,
+                    lapack_complex_float* a, lapack_int* lda,
+                    lapack_complex_float* b, lapack_int* ldb,
+                    lapack_complex_float* q, lapack_int* ldq,
+                    lapack_complex_float* z, lapack_int* ldz, lapack_int* ifst,
+                    lapack_int* ilst, lapack_int *info );
+void LAPACK_ztgexc( lapack_logical* wantq, lapack_logical* wantz, lapack_int* n,
+                    lapack_complex_double* a, lapack_int* lda,
+                    lapack_complex_double* b, lapack_int* ldb,
+                    lapack_complex_double* q, lapack_int* ldq,
+                    lapack_complex_double* z, lapack_int* ldz, lapack_int* ifst,
+                    lapack_int* ilst, lapack_int *info );
+void LAPACK_stgsen( lapack_int* ijob, lapack_logical* wantq,
+                    lapack_logical* wantz, const lapack_logical* select,
+                    lapack_int* n, float* a, lapack_int* lda, float* b,
+                    lapack_int* ldb, float* alphar, float* alphai, float* beta,
+                    float* q, lapack_int* ldq, float* z, lapack_int* ldz,
+                    lapack_int* m, float* pl, float* pr, float* dif,
+                    float* work, lapack_int* lwork, lapack_int* iwork,
+                    lapack_int* liwork, lapack_int *info );
+void LAPACK_dtgsen( lapack_int* ijob, lapack_logical* wantq,
+                    lapack_logical* wantz, const lapack_logical* select,
+                    lapack_int* n, double* a, lapack_int* lda, double* b,
+                    lapack_int* ldb, double* alphar, double* alphai,
+                    double* beta, double* q, lapack_int* ldq, double* z,
+                    lapack_int* ldz, lapack_int* m, double* pl, double* pr,
+                    double* dif, double* work, lapack_int* lwork,
+                    lapack_int* iwork, lapack_int* liwork, lapack_int *info );
+void LAPACK_ctgsen( lapack_int* ijob, lapack_logical* wantq,
+                    lapack_logical* wantz, const lapack_logical* select,
+                    lapack_int* n, lapack_complex_float* a, lapack_int* lda,
+                    lapack_complex_float* b, lapack_int* ldb,
+                    lapack_complex_float* alpha, lapack_complex_float* beta,
+                    lapack_complex_float* q, lapack_int* ldq,
+                    lapack_complex_float* z, lapack_int* ldz, lapack_int* m,
+                    float* pl, float* pr, float* dif,
+                    lapack_complex_float* work, lapack_int* lwork,
+                    lapack_int* iwork, lapack_int* liwork, lapack_int *info );
+void LAPACK_ztgsen( lapack_int* ijob, lapack_logical* wantq,
+                    lapack_logical* wantz, const lapack_logical* select,
+                    lapack_int* n, lapack_complex_double* a, lapack_int* lda,
+                    lapack_complex_double* b, lapack_int* ldb,
+                    lapack_complex_double* alpha, lapack_complex_double* beta,
+                    lapack_complex_double* q, lapack_int* ldq,
+                    lapack_complex_double* z, lapack_int* ldz, lapack_int* m,
+                    double* pl, double* pr, double* dif,
+                    lapack_complex_double* work, lapack_int* lwork,
+                    lapack_int* iwork, lapack_int* liwork, lapack_int *info );
+void LAPACK_stgsyl( char* trans, lapack_int* ijob, lapack_int* m, lapack_int* n,
+                    const float* a, lapack_int* lda, const float* b,
+                    lapack_int* ldb, float* c, lapack_int* ldc, const float* d,
+                    lapack_int* ldd, const float* e, lapack_int* lde, float* f,
+                    lapack_int* ldf, float* scale, float* dif, float* work,
+                    lapack_int* lwork, lapack_int* iwork, lapack_int *info );
+void LAPACK_dtgsyl( char* trans, lapack_int* ijob, lapack_int* m, lapack_int* n,
+                    const double* a, lapack_int* lda, const double* b,
+                    lapack_int* ldb, double* c, lapack_int* ldc,
+                    const double* d, lapack_int* ldd, const double* e,
+                    lapack_int* lde, double* f, lapack_int* ldf, double* scale,
+                    double* dif, double* work, lapack_int* lwork,
+                    lapack_int* iwork, lapack_int *info );
+void LAPACK_ctgsyl( char* trans, lapack_int* ijob, lapack_int* m, lapack_int* n,
+                    const lapack_complex_float* a, lapack_int* lda,
+                    const lapack_complex_float* b, lapack_int* ldb,
+                    lapack_complex_float* c, lapack_int* ldc,
+                    const lapack_complex_float* d, lapack_int* ldd,
+                    const lapack_complex_float* e, lapack_int* lde,
+                    lapack_complex_float* f, lapack_int* ldf, float* scale,
+                    float* dif, lapack_complex_float* work, lapack_int* lwork,
+                    lapack_int* iwork, lapack_int *info );
+void LAPACK_ztgsyl( char* trans, lapack_int* ijob, lapack_int* m, lapack_int* n,
+                    const lapack_complex_double* a, lapack_int* lda,
+                    const lapack_complex_double* b, lapack_int* ldb,
+                    lapack_complex_double* c, lapack_int* ldc,
+                    const lapack_complex_double* d, lapack_int* ldd,
+                    const lapack_complex_double* e, lapack_int* lde,
+                    lapack_complex_double* f, lapack_int* ldf, double* scale,
+                    double* dif, lapack_complex_double* work, lapack_int* lwork,
+                    lapack_int* iwork, lapack_int *info );
+void LAPACK_stgsna( char* job, char* howmny, const lapack_logical* select,
+                    lapack_int* n, const float* a, lapack_int* lda,
+                    const float* b, lapack_int* ldb, const float* vl,
+                    lapack_int* ldvl, const float* vr, lapack_int* ldvr,
+                    float* s, float* dif, lapack_int* mm, lapack_int* m,
+                    float* work, lapack_int* lwork, lapack_int* iwork,
+                    lapack_int *info );
+void LAPACK_dtgsna( char* job, char* howmny, const lapack_logical* select,
+                    lapack_int* n, const double* a, lapack_int* lda,
+                    const double* b, lapack_int* ldb, const double* vl,
+                    lapack_int* ldvl, const double* vr, lapack_int* ldvr,
+                    double* s, double* dif, lapack_int* mm, lapack_int* m,
+                    double* work, lapack_int* lwork, lapack_int* iwork,
+                    lapack_int *info );
+void LAPACK_ctgsna( char* job, char* howmny, const lapack_logical* select,
+                    lapack_int* n, const lapack_complex_float* a,
+                    lapack_int* lda, const lapack_complex_float* b,
+                    lapack_int* ldb, const lapack_complex_float* vl,
+                    lapack_int* ldvl, const lapack_complex_float* vr,
+                    lapack_int* ldvr, float* s, float* dif, lapack_int* mm,
+                    lapack_int* m, lapack_complex_float* work,
+                    lapack_int* lwork, lapack_int* iwork, lapack_int *info );
+void LAPACK_ztgsna( char* job, char* howmny, const lapack_logical* select,
+                    lapack_int* n, const lapack_complex_double* a,
+                    lapack_int* lda, const lapack_complex_double* b,
+                    lapack_int* ldb, const lapack_complex_double* vl,
+                    lapack_int* ldvl, const lapack_complex_double* vr,
+                    lapack_int* ldvr, double* s, double* dif, lapack_int* mm,
+                    lapack_int* m, lapack_complex_double* work,
+                    lapack_int* lwork, lapack_int* iwork, lapack_int *info );
+void LAPACK_sggsvp( char* jobu, char* jobv, char* jobq, lapack_int* m,
+                    lapack_int* p, lapack_int* n, float* a, lapack_int* lda,
+                    float* b, lapack_int* ldb, float* tola, float* tolb,
+                    lapack_int* k, lapack_int* l, float* u, lapack_int* ldu,
+                    float* v, lapack_int* ldv, float* q, lapack_int* ldq,
+                    lapack_int* iwork, float* tau, float* work,
+                    lapack_int *info );
+void LAPACK_dggsvp( char* jobu, char* jobv, char* jobq, lapack_int* m,
+                    lapack_int* p, lapack_int* n, double* a, lapack_int* lda,
+                    double* b, lapack_int* ldb, double* tola, double* tolb,
+                    lapack_int* k, lapack_int* l, double* u, lapack_int* ldu,
+                    double* v, lapack_int* ldv, double* q, lapack_int* ldq,
+                    lapack_int* iwork, double* tau, double* work,
+                    lapack_int *info );
+void LAPACK_cggsvp( char* jobu, char* jobv, char* jobq, lapack_int* m,
+                    lapack_int* p, lapack_int* n, lapack_complex_float* a,
+                    lapack_int* lda, lapack_complex_float* b, lapack_int* ldb,
+                    float* tola, float* tolb, lapack_int* k, lapack_int* l,
+                    lapack_complex_float* u, lapack_int* ldu,
+                    lapack_complex_float* v, lapack_int* ldv,
+                    lapack_complex_float* q, lapack_int* ldq, lapack_int* iwork,
+                    float* rwork, lapack_complex_float* tau,
+                    lapack_complex_float* work, lapack_int *info );
+void LAPACK_zggsvp( char* jobu, char* jobv, char* jobq, lapack_int* m,
+                    lapack_int* p, lapack_int* n, lapack_complex_double* a,
+                    lapack_int* lda, lapack_complex_double* b, lapack_int* ldb,
+                    double* tola, double* tolb, lapack_int* k, lapack_int* l,
+                    lapack_complex_double* u, lapack_int* ldu,
+                    lapack_complex_double* v, lapack_int* ldv,
+                    lapack_complex_double* q, lapack_int* ldq,
+                    lapack_int* iwork, double* rwork,
+                    lapack_complex_double* tau, lapack_complex_double* work,
+                    lapack_int *info );
+void LAPACK_stgsja( char* jobu, char* jobv, char* jobq, lapack_int* m,
+                    lapack_int* p, lapack_int* n, lapack_int* k, lapack_int* l,
+                    float* a, lapack_int* lda, float* b, lapack_int* ldb,
+                    float* tola, float* tolb, float* alpha, float* beta,
+                    float* u, lapack_int* ldu, float* v, lapack_int* ldv,
+                    float* q, lapack_int* ldq, float* work, lapack_int* ncycle,
+                    lapack_int *info );
+void LAPACK_dtgsja( char* jobu, char* jobv, char* jobq, lapack_int* m,
+                    lapack_int* p, lapack_int* n, lapack_int* k, lapack_int* l,
+                    double* a, lapack_int* lda, double* b, lapack_int* ldb,
+                    double* tola, double* tolb, double* alpha, double* beta,
+                    double* u, lapack_int* ldu, double* v, lapack_int* ldv,
+                    double* q, lapack_int* ldq, double* work,
+                    lapack_int* ncycle, lapack_int *info );
+void LAPACK_ctgsja( char* jobu, char* jobv, char* jobq, lapack_int* m,
+                    lapack_int* p, lapack_int* n, lapack_int* k, lapack_int* l,
+                    lapack_complex_float* a, lapack_int* lda,
+                    lapack_complex_float* b, lapack_int* ldb, float* tola,
+                    float* tolb, float* alpha, float* beta,
+                    lapack_complex_float* u, lapack_int* ldu,
+                    lapack_complex_float* v, lapack_int* ldv,
+                    lapack_complex_float* q, lapack_int* ldq,
+                    lapack_complex_float* work, lapack_int* ncycle,
+                    lapack_int *info );
+void LAPACK_ztgsja( char* jobu, char* jobv, char* jobq, lapack_int* m,
+                    lapack_int* p, lapack_int* n, lapack_int* k, lapack_int* l,
+                    lapack_complex_double* a, lapack_int* lda,
+                    lapack_complex_double* b, lapack_int* ldb, double* tola,
+                    double* tolb, double* alpha, double* beta,
+                    lapack_complex_double* u, lapack_int* ldu,
+                    lapack_complex_double* v, lapack_int* ldv,
+                    lapack_complex_double* q, lapack_int* ldq,
+                    lapack_complex_double* work, lapack_int* ncycle,
+                    lapack_int *info );
+void LAPACK_sgels( char* trans, lapack_int* m, lapack_int* n, lapack_int* nrhs,
+                   float* a, lapack_int* lda, float* b, lapack_int* ldb,
+                   float* work, lapack_int* lwork, lapack_int *info );
+void LAPACK_dgels( char* trans, lapack_int* m, lapack_int* n, lapack_int* nrhs,
+                   double* a, lapack_int* lda, double* b, lapack_int* ldb,
+                   double* work, lapack_int* lwork, lapack_int *info );
+void LAPACK_cgels( char* trans, lapack_int* m, lapack_int* n, lapack_int* nrhs,
+                   lapack_complex_float* a, lapack_int* lda,
+                   lapack_complex_float* b, lapack_int* ldb,
+                   lapack_complex_float* work, lapack_int* lwork,
+                   lapack_int *info );
+void LAPACK_zgels( char* trans, lapack_int* m, lapack_int* n, lapack_int* nrhs,
+                   lapack_complex_double* a, lapack_int* lda,
+                   lapack_complex_double* b, lapack_int* ldb,
+                   lapack_complex_double* work, lapack_int* lwork,
+                   lapack_int *info );
+void LAPACK_sgelsy( lapack_int* m, lapack_int* n, lapack_int* nrhs, float* a,
+                    lapack_int* lda, float* b, lapack_int* ldb,
+                    lapack_int* jpvt, float* rcond, lapack_int* rank,
+                    float* work, lapack_int* lwork, lapack_int *info );
+void LAPACK_dgelsy( lapack_int* m, lapack_int* n, lapack_int* nrhs, double* a,
+                    lapack_int* lda, double* b, lapack_int* ldb,
+                    lapack_int* jpvt, double* rcond, lapack_int* rank,
+                    double* work, lapack_int* lwork, lapack_int *info );
+void LAPACK_cgelsy( lapack_int* m, lapack_int* n, lapack_int* nrhs,
+                    lapack_complex_float* a, lapack_int* lda,
+                    lapack_complex_float* b, lapack_int* ldb, lapack_int* jpvt,
+                    float* rcond, lapack_int* rank, lapack_complex_float* work,
+                    lapack_int* lwork, float* rwork, lapack_int *info );
+void LAPACK_zgelsy( lapack_int* m, lapack_int* n, lapack_int* nrhs,
+                    lapack_complex_double* a, lapack_int* lda,
+                    lapack_complex_double* b, lapack_int* ldb, lapack_int* jpvt,
+                    double* rcond, lapack_int* rank,
+                    lapack_complex_double* work, lapack_int* lwork,
+                    double* rwork, lapack_int *info );
+void LAPACK_sgelss( lapack_int* m, lapack_int* n, lapack_int* nrhs, float* a,
+                    lapack_int* lda, float* b, lapack_int* ldb, float* s,
+                    float* rcond, lapack_int* rank, float* work,
+                    lapack_int* lwork, lapack_int *info );
+void LAPACK_dgelss( lapack_int* m, lapack_int* n, lapack_int* nrhs, double* a,
+                    lapack_int* lda, double* b, lapack_int* ldb, double* s,
+                    double* rcond, lapack_int* rank, double* work,
+                    lapack_int* lwork, lapack_int *info );
+void LAPACK_cgelss( lapack_int* m, lapack_int* n, lapack_int* nrhs,
+                    lapack_complex_float* a, lapack_int* lda,
+                    lapack_complex_float* b, lapack_int* ldb, float* s,
+                    float* rcond, lapack_int* rank, lapack_complex_float* work,
+                    lapack_int* lwork, float* rwork, lapack_int *info );
+void LAPACK_zgelss( lapack_int* m, lapack_int* n, lapack_int* nrhs,
+                    lapack_complex_double* a, lapack_int* lda,
+                    lapack_complex_double* b, lapack_int* ldb, double* s,
+                    double* rcond, lapack_int* rank,
+                    lapack_complex_double* work, lapack_int* lwork,
+                    double* rwork, lapack_int *info );
+void LAPACK_sgelsd( lapack_int* m, lapack_int* n, lapack_int* nrhs, float* a,
+                    lapack_int* lda, float* b, lapack_int* ldb, float* s,
+                    float* rcond, lapack_int* rank, float* work,
+                    lapack_int* lwork, lapack_int* iwork, lapack_int *info );
+void LAPACK_dgelsd( lapack_int* m, lapack_int* n, lapack_int* nrhs, double* a,
+                    lapack_int* lda, double* b, lapack_int* ldb, double* s,
+                    double* rcond, lapack_int* rank, double* work,
+                    lapack_int* lwork, lapack_int* iwork, lapack_int *info );
+void LAPACK_cgelsd( lapack_int* m, lapack_int* n, lapack_int* nrhs,
+                    lapack_complex_float* a, lapack_int* lda,
+                    lapack_complex_float* b, lapack_int* ldb, float* s,
+                    float* rcond, lapack_int* rank, lapack_complex_float* work,
+                    lapack_int* lwork, float* rwork, lapack_int* iwork,
+                    lapack_int *info );
+void LAPACK_zgelsd( lapack_int* m, lapack_int* n, lapack_int* nrhs,
+                    lapack_complex_double* a, lapack_int* lda,
+                    lapack_complex_double* b, lapack_int* ldb, double* s,
+                    double* rcond, lapack_int* rank,
+                    lapack_complex_double* work, lapack_int* lwork,
+                    double* rwork, lapack_int* iwork, lapack_int *info );
+void LAPACK_sgglse( lapack_int* m, lapack_int* n, lapack_int* p, float* a,
+                    lapack_int* lda, float* b, lapack_int* ldb, float* c,
+                    float* d, float* x, float* work, lapack_int* lwork,
+                    lapack_int *info );
+void LAPACK_dgglse( lapack_int* m, lapack_int* n, lapack_int* p, double* a,
+                    lapack_int* lda, double* b, lapack_int* ldb, double* c,
+                    double* d, double* x, double* work, lapack_int* lwork,
+                    lapack_int *info );
+void LAPACK_cgglse( lapack_int* m, lapack_int* n, lapack_int* p,
+                    lapack_complex_float* a, lapack_int* lda,
+                    lapack_complex_float* b, lapack_int* ldb,
+                    lapack_complex_float* c, lapack_complex_float* d,
+                    lapack_complex_float* x, lapack_complex_float* work,
+                    lapack_int* lwork, lapack_int *info );
+void LAPACK_zgglse( lapack_int* m, lapack_int* n, lapack_int* p,
+                    lapack_complex_double* a, lapack_int* lda,
+                    lapack_complex_double* b, lapack_int* ldb,
+                    lapack_complex_double* c, lapack_complex_double* d,
+                    lapack_complex_double* x, lapack_complex_double* work,
+                    lapack_int* lwork, lapack_int *info );
+void LAPACK_sggglm( lapack_int* n, lapack_int* m, lapack_int* p, float* a,
+                    lapack_int* lda, float* b, lapack_int* ldb, float* d,
+                    float* x, float* y, float* work, lapack_int* lwork,
+                    lapack_int *info );
+void LAPACK_dggglm( lapack_int* n, lapack_int* m, lapack_int* p, double* a,
+                    lapack_int* lda, double* b, lapack_int* ldb, double* d,
+                    double* x, double* y, double* work, lapack_int* lwork,
+                    lapack_int *info );
+void LAPACK_cggglm( lapack_int* n, lapack_int* m, lapack_int* p,
+                    lapack_complex_float* a, lapack_int* lda,
+                    lapack_complex_float* b, lapack_int* ldb,
+                    lapack_complex_float* d, lapack_complex_float* x,
+                    lapack_complex_float* y, lapack_complex_float* work,
+                    lapack_int* lwork, lapack_int *info );
+void LAPACK_zggglm( lapack_int* n, lapack_int* m, lapack_int* p,
+                    lapack_complex_double* a, lapack_int* lda,
+                    lapack_complex_double* b, lapack_int* ldb,
+                    lapack_complex_double* d, lapack_complex_double* x,
+                    lapack_complex_double* y, lapack_complex_double* work,
+                    lapack_int* lwork, lapack_int *info );
+void LAPACK_ssyev( char* jobz, char* uplo, lapack_int* n, float* a,
+                   lapack_int* lda, float* w, float* work, lapack_int* lwork,
+                   lapack_int *info );
+void LAPACK_dsyev( char* jobz, char* uplo, lapack_int* n, double* a,
+                   lapack_int* lda, double* w, double* work, lapack_int* lwork,
+                   lapack_int *info );
+void LAPACK_cheev( char* jobz, char* uplo, lapack_int* n,
+                   lapack_complex_float* a, lapack_int* lda, float* w,
+                   lapack_complex_float* work, lapack_int* lwork, float* rwork,
+                   lapack_int *info );
+void LAPACK_zheev( char* jobz, char* uplo, lapack_int* n,
+                   lapack_complex_double* a, lapack_int* lda, double* w,
+                   lapack_complex_double* work, lapack_int* lwork,
+                   double* rwork, lapack_int *info );
+void LAPACK_ssyevd( char* jobz, char* uplo, lapack_int* n, float* a,
+                    lapack_int* lda, float* w, float* work, lapack_int* lwork,
+                    lapack_int* iwork, lapack_int* liwork, lapack_int *info );
+void LAPACK_dsyevd( char* jobz, char* uplo, lapack_int* n, double* a,
+                    lapack_int* lda, double* w, double* work, lapack_int* lwork,
+                    lapack_int* iwork, lapack_int* liwork, lapack_int *info );
+void LAPACK_cheevd( char* jobz, char* uplo, lapack_int* n,
+                    lapack_complex_float* a, lapack_int* lda, float* w,
+                    lapack_complex_float* work, lapack_int* lwork, float* rwork,
+                    lapack_int* lrwork, lapack_int* iwork, lapack_int* liwork,
+                    lapack_int *info );
+void LAPACK_zheevd( char* jobz, char* uplo, lapack_int* n,
+                    lapack_complex_double* a, lapack_int* lda, double* w,
+                    lapack_complex_double* work, lapack_int* lwork,
+                    double* rwork, lapack_int* lrwork, lapack_int* iwork,
+                    lapack_int* liwork, lapack_int *info );
+void LAPACK_ssyevx( char* jobz, char* range, char* uplo, lapack_int* n,
+                    float* a, lapack_int* lda, float* vl, float* vu,
+                    lapack_int* il, lapack_int* iu, float* abstol,
+                    lapack_int* m, float* w, float* z, lapack_int* ldz,
+                    float* work, lapack_int* lwork, lapack_int* iwork,
+                    lapack_int* ifail, lapack_int *info );
+void LAPACK_dsyevx( char* jobz, char* range, char* uplo, lapack_int* n,
+                    double* a, lapack_int* lda, double* vl, double* vu,
+                    lapack_int* il, lapack_int* iu, double* abstol,
+                    lapack_int* m, double* w, double* z, lapack_int* ldz,
+                    double* work, lapack_int* lwork, lapack_int* iwork,
+                    lapack_int* ifail, lapack_int *info );
+void LAPACK_cheevx( char* jobz, char* range, char* uplo, lapack_int* n,
+                    lapack_complex_float* a, lapack_int* lda, float* vl,
+                    float* vu, lapack_int* il, lapack_int* iu, float* abstol,
+                    lapack_int* m, float* w, lapack_complex_float* z,
+                    lapack_int* ldz, lapack_complex_float* work,
+                    lapack_int* lwork, float* rwork, lapack_int* iwork,
+                    lapack_int* ifail, lapack_int *info );
+void LAPACK_zheevx( char* jobz, char* range, char* uplo, lapack_int* n,
+                    lapack_complex_double* a, lapack_int* lda, double* vl,
+                    double* vu, lapack_int* il, lapack_int* iu, double* abstol,
+                    lapack_int* m, double* w, lapack_complex_double* z,
+                    lapack_int* ldz, lapack_complex_double* work,
+                    lapack_int* lwork, double* rwork, lapack_int* iwork,
+                    lapack_int* ifail, lapack_int *info );
+void LAPACK_ssyevr( char* jobz, char* range, char* uplo, lapack_int* n,
+                    float* a, lapack_int* lda, float* vl, float* vu,
+                    lapack_int* il, lapack_int* iu, float* abstol,
+                    lapack_int* m, float* w, float* z, lapack_int* ldz,
+                    lapack_int* isuppz, float* work, lapack_int* lwork,
+                    lapack_int* iwork, lapack_int* liwork, lapack_int *info );
+void LAPACK_dsyevr( char* jobz, char* range, char* uplo, lapack_int* n,
+                    double* a, lapack_int* lda, double* vl, double* vu,
+                    lapack_int* il, lapack_int* iu, double* abstol,
+                    lapack_int* m, double* w, double* z, lapack_int* ldz,
+                    lapack_int* isuppz, double* work, lapack_int* lwork,
+                    lapack_int* iwork, lapack_int* liwork, lapack_int *info );
+void LAPACK_cheevr( char* jobz, char* range, char* uplo, lapack_int* n,
+                    lapack_complex_float* a, lapack_int* lda, float* vl,
+                    float* vu, lapack_int* il, lapack_int* iu, float* abstol,
+                    lapack_int* m, float* w, lapack_complex_float* z,
+                    lapack_int* ldz, lapack_int* isuppz,
+                    lapack_complex_float* work, lapack_int* lwork, float* rwork,
+                    lapack_int* lrwork, lapack_int* iwork, lapack_int* liwork,
+                    lapack_int *info );
+void LAPACK_zheevr( char* jobz, char* range, char* uplo, lapack_int* n,
+                    lapack_complex_double* a, lapack_int* lda, double* vl,
+                    double* vu, lapack_int* il, lapack_int* iu, double* abstol,
+                    lapack_int* m, double* w, lapack_complex_double* z,
+                    lapack_int* ldz, lapack_int* isuppz,
+                    lapack_complex_double* work, lapack_int* lwork,
+                    double* rwork, lapack_int* lrwork, lapack_int* iwork,
+                    lapack_int* liwork, lapack_int *info );
+void LAPACK_sspev( char* jobz, char* uplo, lapack_int* n, float* ap, float* w,
+                   float* z, lapack_int* ldz, float* work, lapack_int *info );
+void LAPACK_dspev( char* jobz, char* uplo, lapack_int* n, double* ap, double* w,
+                   double* z, lapack_int* ldz, double* work, lapack_int *info );
+void LAPACK_chpev( char* jobz, char* uplo, lapack_int* n,
+                   lapack_complex_float* ap, float* w, lapack_complex_float* z,
+                   lapack_int* ldz, lapack_complex_float* work, float* rwork,
+                   lapack_int *info );
+void LAPACK_zhpev( char* jobz, char* uplo, lapack_int* n,
+                   lapack_complex_double* ap, double* w,
+                   lapack_complex_double* z, lapack_int* ldz,
+                   lapack_complex_double* work, double* rwork,
+                   lapack_int *info );
+void LAPACK_sspevd( char* jobz, char* uplo, lapack_int* n, float* ap, float* w,
+                    float* z, lapack_int* ldz, float* work, lapack_int* lwork,
+                    lapack_int* iwork, lapack_int* liwork, lapack_int *info );
+void LAPACK_dspevd( char* jobz, char* uplo, lapack_int* n, double* ap,
+                    double* w, double* z, lapack_int* ldz, double* work,
+                    lapack_int* lwork, lapack_int* iwork, lapack_int* liwork,
+                    lapack_int *info );
+void LAPACK_chpevd( char* jobz, char* uplo, lapack_int* n,
+                    lapack_complex_float* ap, float* w, lapack_complex_float* z,
+                    lapack_int* ldz, lapack_complex_float* work,
+                    lapack_int* lwork, float* rwork, lapack_int* lrwork,
+                    lapack_int* iwork, lapack_int* liwork, lapack_int *info );
+void LAPACK_zhpevd( char* jobz, char* uplo, lapack_int* n,
+                    lapack_complex_double* ap, double* w,
+                    lapack_complex_double* z, lapack_int* ldz,
+                    lapack_complex_double* work, lapack_int* lwork,
+                    double* rwork, lapack_int* lrwork, lapack_int* iwork,
+                    lapack_int* liwork, lapack_int *info );
+void LAPACK_sspevx( char* jobz, char* range, char* uplo, lapack_int* n,
+                    float* ap, float* vl, float* vu, lapack_int* il,
+                    lapack_int* iu, float* abstol, lapack_int* m, float* w,
+                    float* z, lapack_int* ldz, float* work, lapack_int* iwork,
+                    lapack_int* ifail, lapack_int *info );
+void LAPACK_dspevx( char* jobz, char* range, char* uplo, lapack_int* n,
+                    double* ap, double* vl, double* vu, lapack_int* il,
+                    lapack_int* iu, double* abstol, lapack_int* m, double* w,
+                    double* z, lapack_int* ldz, double* work, lapack_int* iwork,
+                    lapack_int* ifail, lapack_int *info );
+void LAPACK_chpevx( char* jobz, char* range, char* uplo, lapack_int* n,
+                    lapack_complex_float* ap, float* vl, float* vu,
+                    lapack_int* il, lapack_int* iu, float* abstol,
+                    lapack_int* m, float* w, lapack_complex_float* z,
+                    lapack_int* ldz, lapack_complex_float* work, float* rwork,
+                    lapack_int* iwork, lapack_int* ifail, lapack_int *info );
+void LAPACK_zhpevx( char* jobz, char* range, char* uplo, lapack_int* n,
+                    lapack_complex_double* ap, double* vl, double* vu,
+                    lapack_int* il, lapack_int* iu, double* abstol,
+                    lapack_int* m, double* w, lapack_complex_double* z,
+                    lapack_int* ldz, lapack_complex_double* work, double* rwork,
+                    lapack_int* iwork, lapack_int* ifail, lapack_int *info );
+void LAPACK_ssbev( char* jobz, char* uplo, lapack_int* n, lapack_int* kd,
+                   float* ab, lapack_int* ldab, float* w, float* z,
+                   lapack_int* ldz, float* work, lapack_int *info );
+void LAPACK_dsbev( char* jobz, char* uplo, lapack_int* n, lapack_int* kd,
+                   double* ab, lapack_int* ldab, double* w, double* z,
+                   lapack_int* ldz, double* work, lapack_int *info );
+void LAPACK_chbev( char* jobz, char* uplo, lapack_int* n, lapack_int* kd,
+                   lapack_complex_float* ab, lapack_int* ldab, float* w,
+                   lapack_complex_float* z, lapack_int* ldz,
+                   lapack_complex_float* work, float* rwork, lapack_int *info );
+void LAPACK_zhbev( char* jobz, char* uplo, lapack_int* n, lapack_int* kd,
+                   lapack_complex_double* ab, lapack_int* ldab, double* w,
+                   lapack_complex_double* z, lapack_int* ldz,
+                   lapack_complex_double* work, double* rwork,
+                   lapack_int *info );
+void LAPACK_ssbevd( char* jobz, char* uplo, lapack_int* n, lapack_int* kd,
+                    float* ab, lapack_int* ldab, float* w, float* z,
+                    lapack_int* ldz, float* work, lapack_int* lwork,
+                    lapack_int* iwork, lapack_int* liwork, lapack_int *info );
+void LAPACK_dsbevd( char* jobz, char* uplo, lapack_int* n, lapack_int* kd,
+                    double* ab, lapack_int* ldab, double* w, double* z,
+                    lapack_int* ldz, double* work, lapack_int* lwork,
+                    lapack_int* iwork, lapack_int* liwork, lapack_int *info );
+void LAPACK_chbevd( char* jobz, char* uplo, lapack_int* n, lapack_int* kd,
+                    lapack_complex_float* ab, lapack_int* ldab, float* w,
+                    lapack_complex_float* z, lapack_int* ldz,
+                    lapack_complex_float* work, lapack_int* lwork, float* rwork,
+                    lapack_int* lrwork, lapack_int* iwork, lapack_int* liwork,
+                    lapack_int *info );
+void LAPACK_zhbevd( char* jobz, char* uplo, lapack_int* n, lapack_int* kd,
+                    lapack_complex_double* ab, lapack_int* ldab, double* w,
+                    lapack_complex_double* z, lapack_int* ldz,
+                    lapack_complex_double* work, lapack_int* lwork,
+                    double* rwork, lapack_int* lrwork, lapack_int* iwork,
+                    lapack_int* liwork, lapack_int *info );
+void LAPACK_ssbevx( char* jobz, char* range, char* uplo, lapack_int* n,
+                    lapack_int* kd, float* ab, lapack_int* ldab, float* q,
+                    lapack_int* ldq, float* vl, float* vu, lapack_int* il,
+                    lapack_int* iu, float* abstol, lapack_int* m, float* w,
+                    float* z, lapack_int* ldz, float* work, lapack_int* iwork,
+                    lapack_int* ifail, lapack_int *info );
+void LAPACK_dsbevx( char* jobz, char* range, char* uplo, lapack_int* n,
+                    lapack_int* kd, double* ab, lapack_int* ldab, double* q,
+                    lapack_int* ldq, double* vl, double* vu, lapack_int* il,
+                    lapack_int* iu, double* abstol, lapack_int* m, double* w,
+                    double* z, lapack_int* ldz, double* work, lapack_int* iwork,
+                    lapack_int* ifail, lapack_int *info );
+void LAPACK_chbevx( char* jobz, char* range, char* uplo, lapack_int* n,
+                    lapack_int* kd, lapack_complex_float* ab, lapack_int* ldab,
+                    lapack_complex_float* q, lapack_int* ldq, float* vl,
+                    float* vu, lapack_int* il, lapack_int* iu, float* abstol,
+                    lapack_int* m, float* w, lapack_complex_float* z,
+                    lapack_int* ldz, lapack_complex_float* work, float* rwork,
+                    lapack_int* iwork, lapack_int* ifail, lapack_int *info );
+void LAPACK_zhbevx( char* jobz, char* range, char* uplo, lapack_int* n,
+                    lapack_int* kd, lapack_complex_double* ab, lapack_int* ldab,
+                    lapack_complex_double* q, lapack_int* ldq, double* vl,
+                    double* vu, lapack_int* il, lapack_int* iu, double* abstol,
+                    lapack_int* m, double* w, lapack_complex_double* z,
+                    lapack_int* ldz, lapack_complex_double* work, double* rwork,
+                    lapack_int* iwork, lapack_int* ifail, lapack_int *info );
+void LAPACK_sstev( char* jobz, lapack_int* n, float* d, float* e, float* z,
+                   lapack_int* ldz, float* work, lapack_int *info );
+void LAPACK_dstev( char* jobz, lapack_int* n, double* d, double* e, double* z,
+                   lapack_int* ldz, double* work, lapack_int *info );
+void LAPACK_sstevd( char* jobz, lapack_int* n, float* d, float* e, float* z,
+                    lapack_int* ldz, float* work, lapack_int* lwork,
+                    lapack_int* iwork, lapack_int* liwork, lapack_int *info );
+void LAPACK_dstevd( char* jobz, lapack_int* n, double* d, double* e, double* z,
+                    lapack_int* ldz, double* work, lapack_int* lwork,
+                    lapack_int* iwork, lapack_int* liwork, lapack_int *info );
+void LAPACK_sstevx( char* jobz, char* range, lapack_int* n, float* d, float* e,
+                    float* vl, float* vu, lapack_int* il, lapack_int* iu,
+                    float* abstol, lapack_int* m, float* w, float* z,
+                    lapack_int* ldz, float* work, lapack_int* iwork,
+                    lapack_int* ifail, lapack_int *info );
+void LAPACK_dstevx( char* jobz, char* range, lapack_int* n, double* d,
+                    double* e, double* vl, double* vu, lapack_int* il,
+                    lapack_int* iu, double* abstol, lapack_int* m, double* w,
+                    double* z, lapack_int* ldz, double* work, lapack_int* iwork,
+                    lapack_int* ifail, lapack_int *info );
+void LAPACK_sstevr( char* jobz, char* range, lapack_int* n, float* d, float* e,
+                    float* vl, float* vu, lapack_int* il, lapack_int* iu,
+                    float* abstol, lapack_int* m, float* w, float* z,
+                    lapack_int* ldz, lapack_int* isuppz, float* work,
+                    lapack_int* lwork, lapack_int* iwork, lapack_int* liwork,
+                    lapack_int *info );
+void LAPACK_dstevr( char* jobz, char* range, lapack_int* n, double* d,
+                    double* e, double* vl, double* vu, lapack_int* il,
+                    lapack_int* iu, double* abstol, lapack_int* m, double* w,
+                    double* z, lapack_int* ldz, lapack_int* isuppz,
+                    double* work, lapack_int* lwork, lapack_int* iwork,
+                    lapack_int* liwork, lapack_int *info );
+void LAPACK_sgees( char* jobvs, char* sort, LAPACK_S_SELECT2 select,
+                   lapack_int* n, float* a, lapack_int* lda, lapack_int* sdim,
+                   float* wr, float* wi, float* vs, lapack_int* ldvs,
+                   float* work, lapack_int* lwork, lapack_logical* bwork,
+                   lapack_int *info );
+void LAPACK_dgees( char* jobvs, char* sort, LAPACK_D_SELECT2 select,
+                   lapack_int* n, double* a, lapack_int* lda, lapack_int* sdim,
+                   double* wr, double* wi, double* vs, lapack_int* ldvs,
+                   double* work, lapack_int* lwork, lapack_logical* bwork,
+                   lapack_int *info );
+void LAPACK_cgees( char* jobvs, char* sort, LAPACK_C_SELECT1 select,
+                   lapack_int* n, lapack_complex_float* a, lapack_int* lda,
+                   lapack_int* sdim, lapack_complex_float* w,
+                   lapack_complex_float* vs, lapack_int* ldvs,
+                   lapack_complex_float* work, lapack_int* lwork, float* rwork,
+                   lapack_logical* bwork, lapack_int *info );
+void LAPACK_zgees( char* jobvs, char* sort, LAPACK_Z_SELECT1 select,
+                   lapack_int* n, lapack_complex_double* a, lapack_int* lda,
+                   lapack_int* sdim, lapack_complex_double* w,
+                   lapack_complex_double* vs, lapack_int* ldvs,
+                   lapack_complex_double* work, lapack_int* lwork,
+                   double* rwork, lapack_logical* bwork, lapack_int *info );
+void LAPACK_sgeesx( char* jobvs, char* sort, LAPACK_S_SELECT2 select,
+                    char* sense, lapack_int* n, float* a, lapack_int* lda,
+                    lapack_int* sdim, float* wr, float* wi, float* vs,
+                    lapack_int* ldvs, float* rconde, float* rcondv, float* work,
+                    lapack_int* lwork, lapack_int* iwork, lapack_int* liwork,
+                    lapack_logical* bwork, lapack_int *info );
+void LAPACK_dgeesx( char* jobvs, char* sort, LAPACK_D_SELECT2 select,
+                    char* sense, lapack_int* n, double* a, lapack_int* lda,
+                    lapack_int* sdim, double* wr, double* wi, double* vs,
+                    lapack_int* ldvs, double* rconde, double* rcondv,
+                    double* work, lapack_int* lwork, lapack_int* iwork,
+                    lapack_int* liwork, lapack_logical* bwork,
+                    lapack_int *info );
+void LAPACK_cgeesx( char* jobvs, char* sort, LAPACK_C_SELECT1 select,
+                    char* sense, lapack_int* n, lapack_complex_float* a,
+                    lapack_int* lda, lapack_int* sdim, lapack_complex_float* w,
+                    lapack_complex_float* vs, lapack_int* ldvs, float* rconde,
+                    float* rcondv, lapack_complex_float* work,
+                    lapack_int* lwork, float* rwork, lapack_logical* bwork,
+                    lapack_int *info );
+void LAPACK_zgeesx( char* jobvs, char* sort, LAPACK_Z_SELECT1 select,
+                    char* sense, lapack_int* n, lapack_complex_double* a,
+                    lapack_int* lda, lapack_int* sdim, lapack_complex_double* w,
+                    lapack_complex_double* vs, lapack_int* ldvs, double* rconde,
+                    double* rcondv, lapack_complex_double* work,
+                    lapack_int* lwork, double* rwork, lapack_logical* bwork,
+                    lapack_int *info );
+void LAPACK_sgeev( char* jobvl, char* jobvr, lapack_int* n, float* a,
+                   lapack_int* lda, float* wr, float* wi, float* vl,
+                   lapack_int* ldvl, float* vr, lapack_int* ldvr, float* work,
+                   lapack_int* lwork, lapack_int *info );
+void LAPACK_dgeev( char* jobvl, char* jobvr, lapack_int* n, double* a,
+                   lapack_int* lda, double* wr, double* wi, double* vl,
+                   lapack_int* ldvl, double* vr, lapack_int* ldvr, double* work,
+                   lapack_int* lwork, lapack_int *info );
+void LAPACK_cgeev( char* jobvl, char* jobvr, lapack_int* n,
+                   lapack_complex_float* a, lapack_int* lda,
+                   lapack_complex_float* w, lapack_complex_float* vl,
+                   lapack_int* ldvl, lapack_complex_float* vr, lapack_int* ldvr,
+                   lapack_complex_float* work, lapack_int* lwork, float* rwork,
+                   lapack_int *info );
+void LAPACK_zgeev( char* jobvl, char* jobvr, lapack_int* n,
+                   lapack_complex_double* a, lapack_int* lda,
+                   lapack_complex_double* w, lapack_complex_double* vl,
+                   lapack_int* ldvl, lapack_complex_double* vr,
+                   lapack_int* ldvr, lapack_complex_double* work,
+                   lapack_int* lwork, double* rwork, lapack_int *info );
+void LAPACK_sgeevx( char* balanc, char* jobvl, char* jobvr, char* sense,
+                    lapack_int* n, float* a, lapack_int* lda, float* wr,
+                    float* wi, float* vl, lapack_int* ldvl, float* vr,
+                    lapack_int* ldvr, lapack_int* ilo, lapack_int* ihi,
+                    float* scale, float* abnrm, float* rconde, float* rcondv,
+                    float* work, lapack_int* lwork, lapack_int* iwork,
+                    lapack_int *info );
+void LAPACK_dgeevx( char* balanc, char* jobvl, char* jobvr, char* sense,
+                    lapack_int* n, double* a, lapack_int* lda, double* wr,
+                    double* wi, double* vl, lapack_int* ldvl, double* vr,
+                    lapack_int* ldvr, lapack_int* ilo, lapack_int* ihi,
+                    double* scale, double* abnrm, double* rconde,
+                    double* rcondv, double* work, lapack_int* lwork,
+                    lapack_int* iwork, lapack_int *info );
+void LAPACK_cgeevx( char* balanc, char* jobvl, char* jobvr, char* sense,
+                    lapack_int* n, lapack_complex_float* a, lapack_int* lda,
+                    lapack_complex_float* w, lapack_complex_float* vl,
+                    lapack_int* ldvl, lapack_complex_float* vr,
+                    lapack_int* ldvr, lapack_int* ilo, lapack_int* ihi,
+                    float* scale, float* abnrm, float* rconde, float* rcondv,
+                    lapack_complex_float* work, lapack_int* lwork, float* rwork,
+                    lapack_int *info );
+void LAPACK_zgeevx( char* balanc, char* jobvl, char* jobvr, char* sense,
+                    lapack_int* n, lapack_complex_double* a, lapack_int* lda,
+                    lapack_complex_double* w, lapack_complex_double* vl,
+                    lapack_int* ldvl, lapack_complex_double* vr,
+                    lapack_int* ldvr, lapack_int* ilo, lapack_int* ihi,
+                    double* scale, double* abnrm, double* rconde,
+                    double* rcondv, lapack_complex_double* work,
+                    lapack_int* lwork, double* rwork, lapack_int *info );
+void LAPACK_sgesvd( char* jobu, char* jobvt, lapack_int* m, lapack_int* n,
+                    float* a, lapack_int* lda, float* s, float* u,
+                    lapack_int* ldu, float* vt, lapack_int* ldvt, float* work,
+                    lapack_int* lwork, lapack_int *info );
+void LAPACK_dgesvd( char* jobu, char* jobvt, lapack_int* m, lapack_int* n,
+                    double* a, lapack_int* lda, double* s, double* u,
+                    lapack_int* ldu, double* vt, lapack_int* ldvt, double* work,
+                    lapack_int* lwork, lapack_int *info );
+void LAPACK_cgesvd( char* jobu, char* jobvt, lapack_int* m, lapack_int* n,
+                    lapack_complex_float* a, lapack_int* lda, float* s,
+                    lapack_complex_float* u, lapack_int* ldu,
+                    lapack_complex_float* vt, lapack_int* ldvt,
+                    lapack_complex_float* work, lapack_int* lwork, float* rwork,
+                    lapack_int *info );
+void LAPACK_zgesvd( char* jobu, char* jobvt, lapack_int* m, lapack_int* n,
+                    lapack_complex_double* a, lapack_int* lda, double* s,
+                    lapack_complex_double* u, lapack_int* ldu,
+                    lapack_complex_double* vt, lapack_int* ldvt,
+                    lapack_complex_double* work, lapack_int* lwork,
+                    double* rwork, lapack_int *info );
+void LAPACK_sgesdd( char* jobz, lapack_int* m, lapack_int* n, float* a,
+                    lapack_int* lda, float* s, float* u, lapack_int* ldu,
+                    float* vt, lapack_int* ldvt, float* work, lapack_int* lwork,
+                    lapack_int* iwork, lapack_int *info );
+void LAPACK_dgesdd( char* jobz, lapack_int* m, lapack_int* n, double* a,
+                    lapack_int* lda, double* s, double* u, lapack_int* ldu,
+                    double* vt, lapack_int* ldvt, double* work,
+                    lapack_int* lwork, lapack_int* iwork, lapack_int *info );
+void LAPACK_cgesdd( char* jobz, lapack_int* m, lapack_int* n,
+                    lapack_complex_float* a, lapack_int* lda, float* s,
+                    lapack_complex_float* u, lapack_int* ldu,
+                    lapack_complex_float* vt, lapack_int* ldvt,
+                    lapack_complex_float* work, lapack_int* lwork, float* rwork,
+                    lapack_int* iwork, lapack_int *info );
+void LAPACK_zgesdd( char* jobz, lapack_int* m, lapack_int* n,
+                    lapack_complex_double* a, lapack_int* lda, double* s,
+                    lapack_complex_double* u, lapack_int* ldu,
+                    lapack_complex_double* vt, lapack_int* ldvt,
+                    lapack_complex_double* work, lapack_int* lwork,
+                    double* rwork, lapack_int* iwork, lapack_int *info );
+void LAPACK_dgejsv( char* joba, char* jobu, char* jobv, char* jobr, char* jobt,
+                    char* jobp, lapack_int* m, lapack_int* n, double* a,
+                    lapack_int* lda, double* sva, double* u, lapack_int* ldu,
+                    double* v, lapack_int* ldv, double* work, lapack_int* lwork,
+                    lapack_int* iwork, lapack_int *info );
+void LAPACK_sgejsv( char* joba, char* jobu, char* jobv, char* jobr, char* jobt,
+                    char* jobp, lapack_int* m, lapack_int* n, float* a,
+                    lapack_int* lda, float* sva, float* u, lapack_int* ldu,
+                    float* v, lapack_int* ldv, float* work, lapack_int* lwork,
+                    lapack_int* iwork, lapack_int *info );
+void LAPACK_dgesvj( char* joba, char* jobu, char* jobv, lapack_int* m,
+                    lapack_int* n, double* a, lapack_int* lda, double* sva,
+                    lapack_int* mv, double* v, lapack_int* ldv, double* work,
+                    lapack_int* lwork, lapack_int *info );
+void LAPACK_sgesvj( char* joba, char* jobu, char* jobv, lapack_int* m,
+                    lapack_int* n, float* a, lapack_int* lda, float* sva,
+                    lapack_int* mv, float* v, lapack_int* ldv, float* work,
+                    lapack_int* lwork, lapack_int *info );
+void LAPACK_sggsvd( char* jobu, char* jobv, char* jobq, lapack_int* m,
+                    lapack_int* n, lapack_int* p, lapack_int* k, lapack_int* l,
+                    float* a, lapack_int* lda, float* b, lapack_int* ldb,
+                    float* alpha, float* beta, float* u, lapack_int* ldu,
+                    float* v, lapack_int* ldv, float* q, lapack_int* ldq,
+                    float* work, lapack_int* iwork, lapack_int *info );
+void LAPACK_dggsvd( char* jobu, char* jobv, char* jobq, lapack_int* m,
+                    lapack_int* n, lapack_int* p, lapack_int* k, lapack_int* l,
+                    double* a, lapack_int* lda, double* b, lapack_int* ldb,
+                    double* alpha, double* beta, double* u, lapack_int* ldu,
+                    double* v, lapack_int* ldv, double* q, lapack_int* ldq,
+                    double* work, lapack_int* iwork, lapack_int *info );
+void LAPACK_cggsvd( char* jobu, char* jobv, char* jobq, lapack_int* m,
+                    lapack_int* n, lapack_int* p, lapack_int* k, lapack_int* l,
+                    lapack_complex_float* a, lapack_int* lda,
+                    lapack_complex_float* b, lapack_int* ldb, float* alpha,
+                    float* beta, lapack_complex_float* u, lapack_int* ldu,
+                    lapack_complex_float* v, lapack_int* ldv,
+                    lapack_complex_float* q, lapack_int* ldq,
+                    lapack_complex_float* work, float* rwork, lapack_int* iwork,
+                    lapack_int *info );
+void LAPACK_zggsvd( char* jobu, char* jobv, char* jobq, lapack_int* m,
+                    lapack_int* n, lapack_int* p, lapack_int* k, lapack_int* l,
+                    lapack_complex_double* a, lapack_int* lda,
+                    lapack_complex_double* b, lapack_int* ldb, double* alpha,
+                    double* beta, lapack_complex_double* u, lapack_int* ldu,
+                    lapack_complex_double* v, lapack_int* ldv,
+                    lapack_complex_double* q, lapack_int* ldq,
+                    lapack_complex_double* work, double* rwork,
+                    lapack_int* iwork, lapack_int *info );
+void LAPACK_ssygv( lapack_int* itype, char* jobz, char* uplo, lapack_int* n,
+                   float* a, lapack_int* lda, float* b, lapack_int* ldb,
+                   float* w, float* work, lapack_int* lwork, lapack_int *info );
+void LAPACK_dsygv( lapack_int* itype, char* jobz, char* uplo, lapack_int* n,
+                   double* a, lapack_int* lda, double* b, lapack_int* ldb,
+                   double* w, double* work, lapack_int* lwork,
+                   lapack_int *info );
+void LAPACK_chegv( lapack_int* itype, char* jobz, char* uplo, lapack_int* n,
+                   lapack_complex_float* a, lapack_int* lda,
+                   lapack_complex_float* b, lapack_int* ldb, float* w,
+                   lapack_complex_float* work, lapack_int* lwork, float* rwork,
+                   lapack_int *info );
+void LAPACK_zhegv( lapack_int* itype, char* jobz, char* uplo, lapack_int* n,
+                   lapack_complex_double* a, lapack_int* lda,
+                   lapack_complex_double* b, lapack_int* ldb, double* w,
+                   lapack_complex_double* work, lapack_int* lwork,
+                   double* rwork, lapack_int *info );
+void LAPACK_ssygvd( lapack_int* itype, char* jobz, char* uplo, lapack_int* n,
+                    float* a, lapack_int* lda, float* b, lapack_int* ldb,
+                    float* w, float* work, lapack_int* lwork, lapack_int* iwork,
+                    lapack_int* liwork, lapack_int *info );
+void LAPACK_dsygvd( lapack_int* itype, char* jobz, char* uplo, lapack_int* n,
+                    double* a, lapack_int* lda, double* b, lapack_int* ldb,
+                    double* w, double* work, lapack_int* lwork,
+                    lapack_int* iwork, lapack_int* liwork, lapack_int *info );
+void LAPACK_chegvd( lapack_int* itype, char* jobz, char* uplo, lapack_int* n,
+                    lapack_complex_float* a, lapack_int* lda,
+                    lapack_complex_float* b, lapack_int* ldb, float* w,
+                    lapack_complex_float* work, lapack_int* lwork, float* rwork,
+                    lapack_int* lrwork, lapack_int* iwork, lapack_int* liwork,
+                    lapack_int *info );
+void LAPACK_zhegvd( lapack_int* itype, char* jobz, char* uplo, lapack_int* n,
+                    lapack_complex_double* a, lapack_int* lda,
+                    lapack_complex_double* b, lapack_int* ldb, double* w,
+                    lapack_complex_double* work, lapack_int* lwork,
+                    double* rwork, lapack_int* lrwork, lapack_int* iwork,
+                    lapack_int* liwork, lapack_int *info );
+void LAPACK_ssygvx( lapack_int* itype, char* jobz, char* range, char* uplo,
+                    lapack_int* n, float* a, lapack_int* lda, float* b,
+                    lapack_int* ldb, float* vl, float* vu, lapack_int* il,
+                    lapack_int* iu, float* abstol, lapack_int* m, float* w,
+                    float* z, lapack_int* ldz, float* work, lapack_int* lwork,
+                    lapack_int* iwork, lapack_int* ifail, lapack_int *info );
+void LAPACK_dsygvx( lapack_int* itype, char* jobz, char* range, char* uplo,
+                    lapack_int* n, double* a, lapack_int* lda, double* b,
+                    lapack_int* ldb, double* vl, double* vu, lapack_int* il,
+                    lapack_int* iu, double* abstol, lapack_int* m, double* w,
+                    double* z, lapack_int* ldz, double* work, lapack_int* lwork,
+                    lapack_int* iwork, lapack_int* ifail, lapack_int *info );
+void LAPACK_chegvx( lapack_int* itype, char* jobz, char* range, char* uplo,
+                    lapack_int* n, lapack_complex_float* a, lapack_int* lda,
+                    lapack_complex_float* b, lapack_int* ldb, float* vl,
+                    float* vu, lapack_int* il, lapack_int* iu, float* abstol,
+                    lapack_int* m, float* w, lapack_complex_float* z,
+                    lapack_int* ldz, lapack_complex_float* work,
+                    lapack_int* lwork, float* rwork, lapack_int* iwork,
+                    lapack_int* ifail, lapack_int *info );
+void LAPACK_zhegvx( lapack_int* itype, char* jobz, char* range, char* uplo,
+                    lapack_int* n, lapack_complex_double* a, lapack_int* lda,
+                    lapack_complex_double* b, lapack_int* ldb, double* vl,
+                    double* vu, lapack_int* il, lapack_int* iu, double* abstol,
+                    lapack_int* m, double* w, lapack_complex_double* z,
+                    lapack_int* ldz, lapack_complex_double* work,
+                    lapack_int* lwork, double* rwork, lapack_int* iwork,
+                    lapack_int* ifail, lapack_int *info );
+void LAPACK_sspgv( lapack_int* itype, char* jobz, char* uplo, lapack_int* n,
+                   float* ap, float* bp, float* w, float* z, lapack_int* ldz,
+                   float* work, lapack_int *info );
+void LAPACK_dspgv( lapack_int* itype, char* jobz, char* uplo, lapack_int* n,
+                   double* ap, double* bp, double* w, double* z,
+                   lapack_int* ldz, double* work, lapack_int *info );
+void LAPACK_chpgv( lapack_int* itype, char* jobz, char* uplo, lapack_int* n,
+                   lapack_complex_float* ap, lapack_complex_float* bp, float* w,
+                   lapack_complex_float* z, lapack_int* ldz,
+                   lapack_complex_float* work, float* rwork, lapack_int *info );
+void LAPACK_zhpgv( lapack_int* itype, char* jobz, char* uplo, lapack_int* n,
+                   lapack_complex_double* ap, lapack_complex_double* bp,
+                   double* w, lapack_complex_double* z, lapack_int* ldz,
+                   lapack_complex_double* work, double* rwork,
+                   lapack_int *info );
+void LAPACK_sspgvd( lapack_int* itype, char* jobz, char* uplo, lapack_int* n,
+                    float* ap, float* bp, float* w, float* z, lapack_int* ldz,
+                    float* work, lapack_int* lwork, lapack_int* iwork,
+                    lapack_int* liwork, lapack_int *info );
+void LAPACK_dspgvd( lapack_int* itype, char* jobz, char* uplo, lapack_int* n,
+                    double* ap, double* bp, double* w, double* z,
+                    lapack_int* ldz, double* work, lapack_int* lwork,
+                    lapack_int* iwork, lapack_int* liwork, lapack_int *info );
+void LAPACK_chpgvd( lapack_int* itype, char* jobz, char* uplo, lapack_int* n,
+                    lapack_complex_float* ap, lapack_complex_float* bp,
+                    float* w, lapack_complex_float* z, lapack_int* ldz,
+                    lapack_complex_float* work, lapack_int* lwork, float* rwork,
+                    lapack_int* lrwork, lapack_int* iwork, lapack_int* liwork,
+                    lapack_int *info );
+void LAPACK_zhpgvd( lapack_int* itype, char* jobz, char* uplo, lapack_int* n,
+                    lapack_complex_double* ap, lapack_complex_double* bp,
+                    double* w, lapack_complex_double* z, lapack_int* ldz,
+                    lapack_complex_double* work, lapack_int* lwork,
+                    double* rwork, lapack_int* lrwork, lapack_int* iwork,
+                    lapack_int* liwork, lapack_int *info );
+void LAPACK_sspgvx( lapack_int* itype, char* jobz, char* range, char* uplo,
+                    lapack_int* n, float* ap, float* bp, float* vl, float* vu,
+                    lapack_int* il, lapack_int* iu, float* abstol,
+                    lapack_int* m, float* w, float* z, lapack_int* ldz,
+                    float* work, lapack_int* iwork, lapack_int* ifail,
+                    lapack_int *info );
+void LAPACK_dspgvx( lapack_int* itype, char* jobz, char* range, char* uplo,
+                    lapack_int* n, double* ap, double* bp, double* vl,
+                    double* vu, lapack_int* il, lapack_int* iu, double* abstol,
+                    lapack_int* m, double* w, double* z, lapack_int* ldz,
+                    double* work, lapack_int* iwork, lapack_int* ifail,
+                    lapack_int *info );
+void LAPACK_chpgvx( lapack_int* itype, char* jobz, char* range, char* uplo,
+                    lapack_int* n, lapack_complex_float* ap,
+                    lapack_complex_float* bp, float* vl, float* vu,
+                    lapack_int* il, lapack_int* iu, float* abstol,
+                    lapack_int* m, float* w, lapack_complex_float* z,
+                    lapack_int* ldz, lapack_complex_float* work, float* rwork,
+                    lapack_int* iwork, lapack_int* ifail, lapack_int *info );
+void LAPACK_zhpgvx( lapack_int* itype, char* jobz, char* range, char* uplo,
+                    lapack_int* n, lapack_complex_double* ap,
+                    lapack_complex_double* bp, double* vl, double* vu,
+                    lapack_int* il, lapack_int* iu, double* abstol,
+                    lapack_int* m, double* w, lapack_complex_double* z,
+                    lapack_int* ldz, lapack_complex_double* work, double* rwork,
+                    lapack_int* iwork, lapack_int* ifail, lapack_int *info );
+void LAPACK_ssbgv( char* jobz, char* uplo, lapack_int* n, lapack_int* ka,
+                   lapack_int* kb, float* ab, lapack_int* ldab, float* bb,
+                   lapack_int* ldbb, float* w, float* z, lapack_int* ldz,
+                   float* work, lapack_int *info );
+void LAPACK_dsbgv( char* jobz, char* uplo, lapack_int* n, lapack_int* ka,
+                   lapack_int* kb, double* ab, lapack_int* ldab, double* bb,
+                   lapack_int* ldbb, double* w, double* z, lapack_int* ldz,
+                   double* work, lapack_int *info );
+void LAPACK_chbgv( char* jobz, char* uplo, lapack_int* n, lapack_int* ka,
+                   lapack_int* kb, lapack_complex_float* ab, lapack_int* ldab,
+                   lapack_complex_float* bb, lapack_int* ldbb, float* w,
+                   lapack_complex_float* z, lapack_int* ldz,
+                   lapack_complex_float* work, float* rwork, lapack_int *info );
+void LAPACK_zhbgv( char* jobz, char* uplo, lapack_int* n, lapack_int* ka,
+                   lapack_int* kb, lapack_complex_double* ab, lapack_int* ldab,
+                   lapack_complex_double* bb, lapack_int* ldbb, double* w,
+                   lapack_complex_double* z, lapack_int* ldz,
+                   lapack_complex_double* work, double* rwork,
+                   lapack_int *info );
+void LAPACK_ssbgvd( char* jobz, char* uplo, lapack_int* n, lapack_int* ka,
+                    lapack_int* kb, float* ab, lapack_int* ldab, float* bb,
+                    lapack_int* ldbb, float* w, float* z, lapack_int* ldz,
+                    float* work, lapack_int* lwork, lapack_int* iwork,
+                    lapack_int* liwork, lapack_int *info );
+void LAPACK_dsbgvd( char* jobz, char* uplo, lapack_int* n, lapack_int* ka,
+                    lapack_int* kb, double* ab, lapack_int* ldab, double* bb,
+                    lapack_int* ldbb, double* w, double* z, lapack_int* ldz,
+                    double* work, lapack_int* lwork, lapack_int* iwork,
+                    lapack_int* liwork, lapack_int *info );
+void LAPACK_chbgvd( char* jobz, char* uplo, lapack_int* n, lapack_int* ka,
+                    lapack_int* kb, lapack_complex_float* ab, lapack_int* ldab,
+                    lapack_complex_float* bb, lapack_int* ldbb, float* w,
+                    lapack_complex_float* z, lapack_int* ldz,
+                    lapack_complex_float* work, lapack_int* lwork, float* rwork,
+                    lapack_int* lrwork, lapack_int* iwork, lapack_int* liwork,
+                    lapack_int *info );
+void LAPACK_zhbgvd( char* jobz, char* uplo, lapack_int* n, lapack_int* ka,
+                    lapack_int* kb, lapack_complex_double* ab, lapack_int* ldab,
+                    lapack_complex_double* bb, lapack_int* ldbb, double* w,
+                    lapack_complex_double* z, lapack_int* ldz,
+                    lapack_complex_double* work, lapack_int* lwork,
+                    double* rwork, lapack_int* lrwork, lapack_int* iwork,
+                    lapack_int* liwork, lapack_int *info );
+void LAPACK_ssbgvx( char* jobz, char* range, char* uplo, lapack_int* n,
+                    lapack_int* ka, lapack_int* kb, float* ab, lapack_int* ldab,
+                    float* bb, lapack_int* ldbb, float* q, lapack_int* ldq,
+                    float* vl, float* vu, lapack_int* il, lapack_int* iu,
+                    float* abstol, lapack_int* m, float* w, float* z,
+                    lapack_int* ldz, float* work, lapack_int* iwork,
+                    lapack_int* ifail, lapack_int *info );
+void LAPACK_dsbgvx( char* jobz, char* range, char* uplo, lapack_int* n,
+                    lapack_int* ka, lapack_int* kb, double* ab,
+                    lapack_int* ldab, double* bb, lapack_int* ldbb, double* q,
+                    lapack_int* ldq, double* vl, double* vu, lapack_int* il,
+                    lapack_int* iu, double* abstol, lapack_int* m, double* w,
+                    double* z, lapack_int* ldz, double* work, lapack_int* iwork,
+                    lapack_int* ifail, lapack_int *info );
+void LAPACK_chbgvx( char* jobz, char* range, char* uplo, lapack_int* n,
+                    lapack_int* ka, lapack_int* kb, lapack_complex_float* ab,
+                    lapack_int* ldab, lapack_complex_float* bb,
+                    lapack_int* ldbb, lapack_complex_float* q, lapack_int* ldq,
+                    float* vl, float* vu, lapack_int* il, lapack_int* iu,
+                    float* abstol, lapack_int* m, float* w,
+                    lapack_complex_float* z, lapack_int* ldz,
+                    lapack_complex_float* work, float* rwork, lapack_int* iwork,
+                    lapack_int* ifail, lapack_int *info );
+void LAPACK_zhbgvx( char* jobz, char* range, char* uplo, lapack_int* n,
+                    lapack_int* ka, lapack_int* kb, lapack_complex_double* ab,
+                    lapack_int* ldab, lapack_complex_double* bb,
+                    lapack_int* ldbb, lapack_complex_double* q, lapack_int* ldq,
+                    double* vl, double* vu, lapack_int* il, lapack_int* iu,
+                    double* abstol, lapack_int* m, double* w,
+                    lapack_complex_double* z, lapack_int* ldz,
+                    lapack_complex_double* work, double* rwork,
+                    lapack_int* iwork, lapack_int* ifail, lapack_int *info );
+void LAPACK_sgges( char* jobvsl, char* jobvsr, char* sort,
+                   LAPACK_S_SELECT3 selctg, lapack_int* n, float* a,
+                   lapack_int* lda, float* b, lapack_int* ldb, lapack_int* sdim,
+                   float* alphar, float* alphai, float* beta, float* vsl,
+                   lapack_int* ldvsl, float* vsr, lapack_int* ldvsr,
+                   float* work, lapack_int* lwork, lapack_logical* bwork,
+                   lapack_int *info );
+void LAPACK_dgges( char* jobvsl, char* jobvsr, char* sort,
+                   LAPACK_D_SELECT3 selctg, lapack_int* n, double* a,
+                   lapack_int* lda, double* b, lapack_int* ldb,
+                   lapack_int* sdim, double* alphar, double* alphai,
+                   double* beta, double* vsl, lapack_int* ldvsl, double* vsr,
+                   lapack_int* ldvsr, double* work, lapack_int* lwork,
+                   lapack_logical* bwork, lapack_int *info );
+void LAPACK_cgges( char* jobvsl, char* jobvsr, char* sort,
+                   LAPACK_C_SELECT2 selctg, lapack_int* n,
+                   lapack_complex_float* a, lapack_int* lda,
+                   lapack_complex_float* b, lapack_int* ldb, lapack_int* sdim,
+                   lapack_complex_float* alpha, lapack_complex_float* beta,
+                   lapack_complex_float* vsl, lapack_int* ldvsl,
+                   lapack_complex_float* vsr, lapack_int* ldvsr,
+                   lapack_complex_float* work, lapack_int* lwork, float* rwork,
+                   lapack_logical* bwork, lapack_int *info );
+void LAPACK_zgges( char* jobvsl, char* jobvsr, char* sort,
+                   LAPACK_Z_SELECT2 selctg, lapack_int* n,
+                   lapack_complex_double* a, lapack_int* lda,
+                   lapack_complex_double* b, lapack_int* ldb, lapack_int* sdim,
+                   lapack_complex_double* alpha, lapack_complex_double* beta,
+                   lapack_complex_double* vsl, lapack_int* ldvsl,
+                   lapack_complex_double* vsr, lapack_int* ldvsr,
+                   lapack_complex_double* work, lapack_int* lwork,
+                   double* rwork, lapack_logical* bwork, lapack_int *info );
+void LAPACK_sggesx( char* jobvsl, char* jobvsr, char* sort,
+                    LAPACK_S_SELECT3 selctg, char* sense, lapack_int* n,
+                    float* a, lapack_int* lda, float* b, lapack_int* ldb,
+                    lapack_int* sdim, float* alphar, float* alphai, float* beta,
+                    float* vsl, lapack_int* ldvsl, float* vsr,
+                    lapack_int* ldvsr, float* rconde, float* rcondv,
+                    float* work, lapack_int* lwork, lapack_int* iwork,
+                    lapack_int* liwork, lapack_logical* bwork,
+                    lapack_int *info );
+void LAPACK_dggesx( char* jobvsl, char* jobvsr, char* sort,
+                    LAPACK_D_SELECT3 selctg, char* sense, lapack_int* n,
+                    double* a, lapack_int* lda, double* b, lapack_int* ldb,
+                    lapack_int* sdim, double* alphar, double* alphai,
+                    double* beta, double* vsl, lapack_int* ldvsl, double* vsr,
+                    lapack_int* ldvsr, double* rconde, double* rcondv,
+                    double* work, lapack_int* lwork, lapack_int* iwork,
+                    lapack_int* liwork, lapack_logical* bwork,
+                    lapack_int *info );
+void LAPACK_cggesx( char* jobvsl, char* jobvsr, char* sort,
+                    LAPACK_C_SELECT2 selctg, char* sense, lapack_int* n,
+                    lapack_complex_float* a, lapack_int* lda,
+                    lapack_complex_float* b, lapack_int* ldb, lapack_int* sdim,
+                    lapack_complex_float* alpha, lapack_complex_float* beta,
+                    lapack_complex_float* vsl, lapack_int* ldvsl,
+                    lapack_complex_float* vsr, lapack_int* ldvsr, float* rconde,
+                    float* rcondv, lapack_complex_float* work,
+                    lapack_int* lwork, float* rwork, lapack_int* iwork,
+                    lapack_int* liwork, lapack_logical* bwork,
+                    lapack_int *info );
+void LAPACK_zggesx( char* jobvsl, char* jobvsr, char* sort,
+                    LAPACK_Z_SELECT2 selctg, char* sense, lapack_int* n,
+                    lapack_complex_double* a, lapack_int* lda,
+                    lapack_complex_double* b, lapack_int* ldb, lapack_int* sdim,
+                    lapack_complex_double* alpha, lapack_complex_double* beta,
+                    lapack_complex_double* vsl, lapack_int* ldvsl,
+                    lapack_complex_double* vsr, lapack_int* ldvsr,
+                    double* rconde, double* rcondv, lapack_complex_double* work,
+                    lapack_int* lwork, double* rwork, lapack_int* iwork,
+                    lapack_int* liwork, lapack_logical* bwork,
+                    lapack_int *info );
+void LAPACK_sggev( char* jobvl, char* jobvr, lapack_int* n, float* a,
+                   lapack_int* lda, float* b, lapack_int* ldb, float* alphar,
+                   float* alphai, float* beta, float* vl, lapack_int* ldvl,
+                   float* vr, lapack_int* ldvr, float* work, lapack_int* lwork,
+                   lapack_int *info );
+void LAPACK_dggev( char* jobvl, char* jobvr, lapack_int* n, double* a,
+                   lapack_int* lda, double* b, lapack_int* ldb, double* alphar,
+                   double* alphai, double* beta, double* vl, lapack_int* ldvl,
+                   double* vr, lapack_int* ldvr, double* work,
+                   lapack_int* lwork, lapack_int *info );
+void LAPACK_cggev( char* jobvl, char* jobvr, lapack_int* n,
+                   lapack_complex_float* a, lapack_int* lda,
+                   lapack_complex_float* b, lapack_int* ldb,
+                   lapack_complex_float* alpha, lapack_complex_float* beta,
+                   lapack_complex_float* vl, lapack_int* ldvl,
+                   lapack_complex_float* vr, lapack_int* ldvr,
+                   lapack_complex_float* work, lapack_int* lwork, float* rwork,
+                   lapack_int *info );
+void LAPACK_zggev( char* jobvl, char* jobvr, lapack_int* n,
+                   lapack_complex_double* a, lapack_int* lda,
+                   lapack_complex_double* b, lapack_int* ldb,
+                   lapack_complex_double* alpha, lapack_complex_double* beta,
+                   lapack_complex_double* vl, lapack_int* ldvl,
+                   lapack_complex_double* vr, lapack_int* ldvr,
+                   lapack_complex_double* work, lapack_int* lwork,
+                   double* rwork, lapack_int *info );
+void LAPACK_sggevx( char* balanc, char* jobvl, char* jobvr, char* sense,
+                    lapack_int* n, float* a, lapack_int* lda, float* b,
+                    lapack_int* ldb, float* alphar, float* alphai, float* beta,
+                    float* vl, lapack_int* ldvl, float* vr, lapack_int* ldvr,
+                    lapack_int* ilo, lapack_int* ihi, float* lscale,
+                    float* rscale, float* abnrm, float* bbnrm, float* rconde,
+                    float* rcondv, float* work, lapack_int* lwork,
+                    lapack_int* iwork, lapack_logical* bwork,
+                    lapack_int *info );
+void LAPACK_dggevx( char* balanc, char* jobvl, char* jobvr, char* sense,
+                    lapack_int* n, double* a, lapack_int* lda, double* b,
+                    lapack_int* ldb, double* alphar, double* alphai,
+                    double* beta, double* vl, lapack_int* ldvl, double* vr,
+                    lapack_int* ldvr, lapack_int* ilo, lapack_int* ihi,
+                    double* lscale, double* rscale, double* abnrm,
+                    double* bbnrm, double* rconde, double* rcondv, double* work,
+                    lapack_int* lwork, lapack_int* iwork, lapack_logical* bwork,
+                    lapack_int *info );
+void LAPACK_cggevx( char* balanc, char* jobvl, char* jobvr, char* sense,
+                    lapack_int* n, lapack_complex_float* a, lapack_int* lda,
+                    lapack_complex_float* b, lapack_int* ldb,
+                    lapack_complex_float* alpha, lapack_complex_float* beta,
+                    lapack_complex_float* vl, lapack_int* ldvl,
+                    lapack_complex_float* vr, lapack_int* ldvr, lapack_int* ilo,
+                    lapack_int* ihi, float* lscale, float* rscale, float* abnrm,
+                    float* bbnrm, float* rconde, float* rcondv,
+                    lapack_complex_float* work, lapack_int* lwork, float* rwork,
+                    lapack_int* iwork, lapack_logical* bwork,
+                    lapack_int *info );
+void LAPACK_zggevx( char* balanc, char* jobvl, char* jobvr, char* sense,
+                    lapack_int* n, lapack_complex_double* a, lapack_int* lda,
+                    lapack_complex_double* b, lapack_int* ldb,
+                    lapack_complex_double* alpha, lapack_complex_double* beta,
+                    lapack_complex_double* vl, lapack_int* ldvl,
+                    lapack_complex_double* vr, lapack_int* ldvr,
+                    lapack_int* ilo, lapack_int* ihi, double* lscale,
+                    double* rscale, double* abnrm, double* bbnrm,
+                    double* rconde, double* rcondv, lapack_complex_double* work,
+                    lapack_int* lwork, double* rwork, lapack_int* iwork,
+                    lapack_logical* bwork, lapack_int *info );
+void LAPACK_dsfrk( char* transr, char* uplo, char* trans, lapack_int* n,
+                   lapack_int* k, double* alpha, const double* a,
+                   lapack_int* lda, double* beta, double* c );
+void LAPACK_ssfrk( char* transr, char* uplo, char* trans, lapack_int* n,
+                   lapack_int* k, float* alpha, const float* a, lapack_int* lda,
+                   float* beta, float* c );
+void LAPACK_zhfrk( char* transr, char* uplo, char* trans, lapack_int* n,
+                   lapack_int* k, double* alpha, const lapack_complex_double* a,
+                   lapack_int* lda, double* beta, lapack_complex_double* c );
+void LAPACK_chfrk( char* transr, char* uplo, char* trans, lapack_int* n,
+                   lapack_int* k, float* alpha, const lapack_complex_float* a,
+                   lapack_int* lda, float* beta, lapack_complex_float* c );
+void LAPACK_dtfsm( char* transr, char* side, char* uplo, char* trans,
+                   char* diag, lapack_int* m, lapack_int* n, double* alpha,
+                   const double* a, double* b, lapack_int* ldb );
+void LAPACK_stfsm( char* transr, char* side, char* uplo, char* trans,
+                   char* diag, lapack_int* m, lapack_int* n, float* alpha,
+                   const float* a, float* b, lapack_int* ldb );
+void LAPACK_ztfsm( char* transr, char* side, char* uplo, char* trans,
+                   char* diag, lapack_int* m, lapack_int* n,
+                   lapack_complex_double* alpha, const lapack_complex_double* a,
+                   lapack_complex_double* b, lapack_int* ldb );
+void LAPACK_ctfsm( char* transr, char* side, char* uplo, char* trans,
+                   char* diag, lapack_int* m, lapack_int* n,
+                   lapack_complex_float* alpha, const lapack_complex_float* a,
+                   lapack_complex_float* b, lapack_int* ldb );
+void LAPACK_dtfttp( char* transr, char* uplo, lapack_int* n, const double* arf,
+                    double* ap, lapack_int *info );
+void LAPACK_stfttp( char* transr, char* uplo, lapack_int* n, const float* arf,
+                    float* ap, lapack_int *info );
+void LAPACK_ztfttp( char* transr, char* uplo, lapack_int* n,
+                    const lapack_complex_double* arf, lapack_complex_double* ap,
+                    lapack_int *info );
+void LAPACK_ctfttp( char* transr, char* uplo, lapack_int* n,
+                    const lapack_complex_float* arf, lapack_complex_float* ap,
+                    lapack_int *info );
+void LAPACK_dtfttr( char* transr, char* uplo, lapack_int* n, const double* arf,
+                    double* a, lapack_int* lda, lapack_int *info );
+void LAPACK_stfttr( char* transr, char* uplo, lapack_int* n, const float* arf,
+                    float* a, lapack_int* lda, lapack_int *info );
+void LAPACK_ztfttr( char* transr, char* uplo, lapack_int* n,
+                    const lapack_complex_double* arf, lapack_complex_double* a,
+                    lapack_int* lda, lapack_int *info );
+void LAPACK_ctfttr( char* transr, char* uplo, lapack_int* n,
+                    const lapack_complex_float* arf, lapack_complex_float* a,
+                    lapack_int* lda, lapack_int *info );
+void LAPACK_dtpttf( char* transr, char* uplo, lapack_int* n, const double* ap,
+                    double* arf, lapack_int *info );
+void LAPACK_stpttf( char* transr, char* uplo, lapack_int* n, const float* ap,
+                    float* arf, lapack_int *info );
+void LAPACK_ztpttf( char* transr, char* uplo, lapack_int* n,
+                    const lapack_complex_double* ap, lapack_complex_double* arf,
+                    lapack_int *info );
+void LAPACK_ctpttf( char* transr, char* uplo, lapack_int* n,
+                    const lapack_complex_float* ap, lapack_complex_float* arf,
+                    lapack_int *info );
+void LAPACK_dtpttr( char* uplo, lapack_int* n, const double* ap, double* a,
+                    lapack_int* lda, lapack_int *info );
+void LAPACK_stpttr( char* uplo, lapack_int* n, const float* ap, float* a,
+                    lapack_int* lda, lapack_int *info );
+void LAPACK_ztpttr( char* uplo, lapack_int* n, const lapack_complex_double* ap,
+                    lapack_complex_double* a, lapack_int* lda,
+                    lapack_int *info );
+void LAPACK_ctpttr( char* uplo, lapack_int* n, const lapack_complex_float* ap,
+                    lapack_complex_float* a, lapack_int* lda,
+                    lapack_int *info );
+void LAPACK_dtrttf( char* transr, char* uplo, lapack_int* n, const double* a,
+                    lapack_int* lda, double* arf, lapack_int *info );
+void LAPACK_strttf( char* transr, char* uplo, lapack_int* n, const float* a,
+                    lapack_int* lda, float* arf, lapack_int *info );
+void LAPACK_ztrttf( char* transr, char* uplo, lapack_int* n,
+                    const lapack_complex_double* a, lapack_int* lda,
+                    lapack_complex_double* arf, lapack_int *info );
+void LAPACK_ctrttf( char* transr, char* uplo, lapack_int* n,
+                    const lapack_complex_float* a, lapack_int* lda,
+                    lapack_complex_float* arf, lapack_int *info );
+void LAPACK_dtrttp( char* uplo, lapack_int* n, const double* a, lapack_int* lda,
+                    double* ap, lapack_int *info );
+void LAPACK_strttp( char* uplo, lapack_int* n, const float* a, lapack_int* lda,
+                    float* ap, lapack_int *info );
+void LAPACK_ztrttp( char* uplo, lapack_int* n, const lapack_complex_double* a,
+                    lapack_int* lda, lapack_complex_double* ap,
+                    lapack_int *info );
+void LAPACK_ctrttp( char* uplo, lapack_int* n, const lapack_complex_float* a,
+                    lapack_int* lda, lapack_complex_float* ap,
+                    lapack_int *info );
+void LAPACK_sgeqrfp( lapack_int* m, lapack_int* n, float* a, lapack_int* lda,
+                     float* tau, float* work, lapack_int* lwork,
+                     lapack_int *info );
+void LAPACK_dgeqrfp( lapack_int* m, lapack_int* n, double* a, lapack_int* lda,
+                     double* tau, double* work, lapack_int* lwork,
+                     lapack_int *info );
+void LAPACK_cgeqrfp( lapack_int* m, lapack_int* n, lapack_complex_float* a,
+                     lapack_int* lda, lapack_complex_float* tau,
+                     lapack_complex_float* work, lapack_int* lwork,
+                     lapack_int *info );
+void LAPACK_zgeqrfp( lapack_int* m, lapack_int* n, lapack_complex_double* a,
+                     lapack_int* lda, lapack_complex_double* tau,
+                     lapack_complex_double* work, lapack_int* lwork,
+                     lapack_int *info );
+void LAPACK_clacgv( lapack_int* n, lapack_complex_float* x, lapack_int* incx );
+void LAPACK_zlacgv( lapack_int* n, lapack_complex_double* x, lapack_int* incx );
+void LAPACK_slarnv( lapack_int* idist, lapack_int* iseed, lapack_int* n,
+                    float* x );
+void LAPACK_dlarnv( lapack_int* idist, lapack_int* iseed, lapack_int* n,
+                    double* x );
+void LAPACK_clarnv( lapack_int* idist, lapack_int* iseed, lapack_int* n,
+                    lapack_complex_float* x );
+void LAPACK_zlarnv( lapack_int* idist, lapack_int* iseed, lapack_int* n,
+                    lapack_complex_double* x );
+void LAPACK_sgeqr2( lapack_int* m, lapack_int* n, float* a, lapack_int* lda,
+                    float* tau, float* work, lapack_int *info );
+void LAPACK_dgeqr2( lapack_int* m, lapack_int* n, double* a, lapack_int* lda,
+                    double* tau, double* work, lapack_int *info );
+void LAPACK_cgeqr2( lapack_int* m, lapack_int* n, lapack_complex_float* a,
+                    lapack_int* lda, lapack_complex_float* tau,
+                    lapack_complex_float* work, lapack_int *info );
+void LAPACK_zgeqr2( lapack_int* m, lapack_int* n, lapack_complex_double* a,
+                    lapack_int* lda, lapack_complex_double* tau,
+                    lapack_complex_double* work, lapack_int *info );
+void LAPACK_slacpy( char* uplo, lapack_int* m, lapack_int* n, const float* a,
+                    lapack_int* lda, float* b, lapack_int* ldb );
+void LAPACK_dlacpy( char* uplo, lapack_int* m, lapack_int* n, const double* a,
+                    lapack_int* lda, double* b, lapack_int* ldb );
+void LAPACK_clacpy( char* uplo, lapack_int* m, lapack_int* n,
+                    const lapack_complex_float* a, lapack_int* lda,
+                    lapack_complex_float* b, lapack_int* ldb );
+void LAPACK_zlacpy( char* uplo, lapack_int* m, lapack_int* n,
+                    const lapack_complex_double* a, lapack_int* lda,
+                    lapack_complex_double* b, lapack_int* ldb );
+void LAPACK_sgetf2( lapack_int* m, lapack_int* n, float* a, lapack_int* lda,
+                    lapack_int* ipiv, lapack_int *info );
+void LAPACK_dgetf2( lapack_int* m, lapack_int* n, double* a, lapack_int* lda,
+                    lapack_int* ipiv, lapack_int *info );
+void LAPACK_cgetf2( lapack_int* m, lapack_int* n, lapack_complex_float* a,
+                    lapack_int* lda, lapack_int* ipiv, lapack_int *info );
+void LAPACK_zgetf2( lapack_int* m, lapack_int* n, lapack_complex_double* a,
+                    lapack_int* lda, lapack_int* ipiv, lapack_int *info );
+void LAPACK_slaswp( lapack_int* n, float* a, lapack_int* lda, lapack_int* k1,
+                    lapack_int* k2, const lapack_int* ipiv, lapack_int* incx );
+void LAPACK_dlaswp( lapack_int* n, double* a, lapack_int* lda, lapack_int* k1,
+                    lapack_int* k2, const lapack_int* ipiv, lapack_int* incx );
+void LAPACK_claswp( lapack_int* n, lapack_complex_float* a, lapack_int* lda,
+                    lapack_int* k1, lapack_int* k2, const lapack_int* ipiv,
+                    lapack_int* incx );
+void LAPACK_zlaswp( lapack_int* n, lapack_complex_double* a, lapack_int* lda,
+                    lapack_int* k1, lapack_int* k2, const lapack_int* ipiv,
+                    lapack_int* incx );
+float LAPACK_slange( char* norm, lapack_int* m, lapack_int* n, const float* a,
+                    lapack_int* lda, float* work );
+double LAPACK_dlange( char* norm, lapack_int* m, lapack_int* n, const double* a,
+                    lapack_int* lda, double* work );
+float LAPACK_clange( char* norm, lapack_int* m, lapack_int* n,
+                    const lapack_complex_float* a, lapack_int* lda, float* work );
+double LAPACK_zlange( char* norm, lapack_int* m, lapack_int* n,
+                    const lapack_complex_double* a, lapack_int* lda, double* work );
+float LAPACK_clanhe( char* norm, char* uplo, lapack_int* n,
+                    const lapack_complex_float* a, lapack_int* lda, float* work );
+double LAPACK_zlanhe( char* norm, char* uplo, lapack_int* n,
+                    const lapack_complex_double* a, lapack_int* lda, double* work );
+float LAPACK_slansy( char* norm, char* uplo, lapack_int* n, const float* a,
+                    lapack_int* lda, float* work );
+double LAPACK_dlansy( char* norm, char* uplo, lapack_int* n, const double* a,
+                    lapack_int* lda, double* work );
+float LAPACK_clansy( char* norm, char* uplo, lapack_int* n,
+                    const lapack_complex_float* a, lapack_int* lda, float* work );
+double LAPACK_zlansy( char* norm, char* uplo, lapack_int* n,
+                    const lapack_complex_double* a, lapack_int* lda, double* work );
+float LAPACK_slantr( char* norm, char* uplo, char* diag, lapack_int* m,
+                    lapack_int* n, const float* a, lapack_int* lda, float* work );
+double LAPACK_dlantr( char* norm, char* uplo, char* diag, lapack_int* m,
+                    lapack_int* n, const double* a, lapack_int* lda, double* work );
+float LAPACK_clantr( char* norm, char* uplo, char* diag, lapack_int* m,
+                    lapack_int* n, const lapack_complex_float* a, lapack_int* lda,
+                    float* work );
+double LAPACK_zlantr( char* norm, char* uplo, char* diag, lapack_int* m,
+                    lapack_int* n, const lapack_complex_double* a, lapack_int* lda,
+                    double* work );
+float LAPACK_slamch( char* cmach );
+double LAPACK_dlamch( char* cmach );
+void LAPACK_sgelq2( lapack_int* m, lapack_int* n, float* a, lapack_int* lda,
+                    float* tau, float* work, lapack_int *info );
+void LAPACK_dgelq2( lapack_int* m, lapack_int* n, double* a, lapack_int* lda,
+                    double* tau, double* work, lapack_int *info );
+void LAPACK_cgelq2( lapack_int* m, lapack_int* n, lapack_complex_float* a,
+                    lapack_int* lda, lapack_complex_float* tau,
+                    lapack_complex_float* work, lapack_int *info );
+void LAPACK_zgelq2( lapack_int* m, lapack_int* n, lapack_complex_double* a,
+                    lapack_int* lda, lapack_complex_double* tau,
+                    lapack_complex_double* work, lapack_int *info );
+void LAPACK_slarfb( char* side, char* trans, char* direct, char* storev,
+                    lapack_int* m, lapack_int* n, lapack_int* k, const float* v,
+                    lapack_int* ldv, const float* t, lapack_int* ldt, float* c,
+                    lapack_int* ldc, float* work, lapack_int* ldwork );
+void LAPACK_dlarfb( char* side, char* trans, char* direct, char* storev,
+                    lapack_int* m, lapack_int* n, lapack_int* k,
+                    const double* v, lapack_int* ldv, const double* t,
+                    lapack_int* ldt, double* c, lapack_int* ldc, double* work,
+                    lapack_int* ldwork );
+void LAPACK_clarfb( char* side, char* trans, char* direct, char* storev,
+                    lapack_int* m, lapack_int* n, lapack_int* k,
+                    const lapack_complex_float* v, lapack_int* ldv,
+                    const lapack_complex_float* t, lapack_int* ldt,
+                    lapack_complex_float* c, lapack_int* ldc,
+                    lapack_complex_float* work, lapack_int* ldwork );
+void LAPACK_zlarfb( char* side, char* trans, char* direct, char* storev,
+                    lapack_int* m, lapack_int* n, lapack_int* k,
+                    const lapack_complex_double* v, lapack_int* ldv,
+                    const lapack_complex_double* t, lapack_int* ldt,
+                    lapack_complex_double* c, lapack_int* ldc,
+                    lapack_complex_double* work, lapack_int* ldwork );
+void LAPACK_slarfg( lapack_int* n, float* alpha, float* x, lapack_int* incx,
+                    float* tau );
+void LAPACK_dlarfg( lapack_int* n, double* alpha, double* x, lapack_int* incx,
+                    double* tau );
+void LAPACK_clarfg( lapack_int* n, lapack_complex_float* alpha,
+                    lapack_complex_float* x, lapack_int* incx,
+                    lapack_complex_float* tau );
+void LAPACK_zlarfg( lapack_int* n, lapack_complex_double* alpha,
+                    lapack_complex_double* x, lapack_int* incx,
+                    lapack_complex_double* tau );
+void LAPACK_slarft( char* direct, char* storev, lapack_int* n, lapack_int* k,
+                    const float* v, lapack_int* ldv, const float* tau, float* t,
+                    lapack_int* ldt );
+void LAPACK_dlarft( char* direct, char* storev, lapack_int* n, lapack_int* k,
+                    const double* v, lapack_int* ldv, const double* tau,
+                    double* t, lapack_int* ldt );
+void LAPACK_clarft( char* direct, char* storev, lapack_int* n, lapack_int* k,
+                    const lapack_complex_float* v, lapack_int* ldv,
+                    const lapack_complex_float* tau, lapack_complex_float* t,
+                    lapack_int* ldt );
+void LAPACK_zlarft( char* direct, char* storev, lapack_int* n, lapack_int* k,
+                    const lapack_complex_double* v, lapack_int* ldv,
+                    const lapack_complex_double* tau, lapack_complex_double* t,
+                    lapack_int* ldt );
+void LAPACK_slarfx( char* side, lapack_int* m, lapack_int* n, const float* v,
+                    float* tau, float* c, lapack_int* ldc, float* work );
+void LAPACK_dlarfx( char* side, lapack_int* m, lapack_int* n, const double* v,
+                    double* tau, double* c, lapack_int* ldc, double* work );
+void LAPACK_clarfx( char* side, lapack_int* m, lapack_int* n,
+                    const lapack_complex_float* v, lapack_complex_float* tau,
+                    lapack_complex_float* c, lapack_int* ldc,
+                    lapack_complex_float* work );
+void LAPACK_zlarfx( char* side, lapack_int* m, lapack_int* n,
+                    const lapack_complex_double* v, lapack_complex_double* tau,
+                    lapack_complex_double* c, lapack_int* ldc,
+                    lapack_complex_double* work );
+void LAPACK_slatms( lapack_int* m, lapack_int* n, char* dist, lapack_int* iseed,
+                    char* sym, float* d, lapack_int* mode, float* cond,
+                    float* dmax, lapack_int* kl, lapack_int* ku, char* pack,
+                    float* a, lapack_int* lda, float* work, lapack_int *info );
+void LAPACK_dlatms( lapack_int* m, lapack_int* n, char* dist, lapack_int* iseed,
+                    char* sym, double* d, lapack_int* mode, double* cond,
+                    double* dmax, lapack_int* kl, lapack_int* ku, char* pack,
+                    double* a, lapack_int* lda, double* work,
+                    lapack_int *info );
+void LAPACK_clatms( lapack_int* m, lapack_int* n, char* dist, lapack_int* iseed,
+                    char* sym, float* d, lapack_int* mode, float* cond,
+                    float* dmax, lapack_int* kl, lapack_int* ku, char* pack,
+                    lapack_complex_float* a, lapack_int* lda,
+                    lapack_complex_float* work, lapack_int *info );
+void LAPACK_zlatms( lapack_int* m, lapack_int* n, char* dist, lapack_int* iseed,
+                    char* sym, double* d, lapack_int* mode, double* cond,
+                    double* dmax, lapack_int* kl, lapack_int* ku, char* pack,
+                    lapack_complex_double* a, lapack_int* lda,
+                    lapack_complex_double* work, lapack_int *info );
+void LAPACK_slag2d( lapack_int* m, lapack_int* n, const float* sa,
+                    lapack_int* ldsa, double* a, lapack_int* lda,
+                    lapack_int *info );
+void LAPACK_dlag2s( lapack_int* m, lapack_int* n, const double* a,
+                    lapack_int* lda, float* sa, lapack_int* ldsa,
+                    lapack_int *info );
+void LAPACK_clag2z( lapack_int* m, lapack_int* n,
+                    const lapack_complex_float* sa, lapack_int* ldsa,
+                    lapack_complex_double* a, lapack_int* lda,
+                    lapack_int *info );
+void LAPACK_zlag2c( lapack_int* m, lapack_int* n,
+                    const lapack_complex_double* a, lapack_int* lda,
+                    lapack_complex_float* sa, lapack_int* ldsa,
+                    lapack_int *info );
+void LAPACK_slauum( char* uplo, lapack_int* n, float* a, lapack_int* lda,
+                    lapack_int *info );
+void LAPACK_dlauum( char* uplo, lapack_int* n, double* a, lapack_int* lda,
+                    lapack_int *info );
+void LAPACK_clauum( char* uplo, lapack_int* n, lapack_complex_float* a,
+                    lapack_int* lda, lapack_int *info );
+void LAPACK_zlauum( char* uplo, lapack_int* n, lapack_complex_double* a,
+                    lapack_int* lda, lapack_int *info );
+void LAPACK_slagge( lapack_int* m, lapack_int* n, lapack_int* kl,
+                    lapack_int* ku, const float* d, float* a, lapack_int* lda,
+                    lapack_int* iseed, float* work, lapack_int *info );
+void LAPACK_dlagge( lapack_int* m, lapack_int* n, lapack_int* kl,
+                    lapack_int* ku, const double* d, double* a, lapack_int* lda,
+                    lapack_int* iseed, double* work, lapack_int *info );
+void LAPACK_clagge( lapack_int* m, lapack_int* n, lapack_int* kl,
+                    lapack_int* ku, const float* d, lapack_complex_float* a,
+                    lapack_int* lda, lapack_int* iseed,
+                    lapack_complex_float* work, lapack_int *info );
+void LAPACK_zlagge( lapack_int* m, lapack_int* n, lapack_int* kl,
+                    lapack_int* ku, const double* d, lapack_complex_double* a,
+                    lapack_int* lda, lapack_int* iseed,
+                    lapack_complex_double* work, lapack_int *info );
+void LAPACK_slaset( char* uplo, lapack_int* m, lapack_int* n, float* alpha,
+                    float* beta, float* a, lapack_int* lda );
+void LAPACK_dlaset( char* uplo, lapack_int* m, lapack_int* n, double* alpha,
+                    double* beta, double* a, lapack_int* lda );
+void LAPACK_claset( char* uplo, lapack_int* m, lapack_int* n,
+                    lapack_complex_float* alpha, lapack_complex_float* beta,
+                    lapack_complex_float* a, lapack_int* lda );
+void LAPACK_zlaset( char* uplo, lapack_int* m, lapack_int* n,
+                    lapack_complex_double* alpha, lapack_complex_double* beta,
+                    lapack_complex_double* a, lapack_int* lda );
+void LAPACK_slasrt( char* id, lapack_int* n, float* d, lapack_int *info );
+void LAPACK_dlasrt( char* id, lapack_int* n, double* d, lapack_int *info );
+void LAPACK_claghe( lapack_int* n, lapack_int* k, const float* d,
+                    lapack_complex_float* a, lapack_int* lda, lapack_int* iseed,
+                    lapack_complex_float* work, lapack_int *info );
+void LAPACK_zlaghe( lapack_int* n, lapack_int* k, const double* d,
+                    lapack_complex_double* a, lapack_int* lda,
+                    lapack_int* iseed, lapack_complex_double* work,
+                    lapack_int *info );
+void LAPACK_slagsy( lapack_int* n, lapack_int* k, const float* d, float* a,
+                    lapack_int* lda, lapack_int* iseed, float* work,
+                    lapack_int *info );
+void LAPACK_dlagsy( lapack_int* n, lapack_int* k, const double* d, double* a,
+                    lapack_int* lda, lapack_int* iseed, double* work,
+                    lapack_int *info );
+void LAPACK_clagsy( lapack_int* n, lapack_int* k, const float* d,
+                    lapack_complex_float* a, lapack_int* lda, lapack_int* iseed,
+                    lapack_complex_float* work, lapack_int *info );
+void LAPACK_zlagsy( lapack_int* n, lapack_int* k, const double* d,
+                    lapack_complex_double* a, lapack_int* lda,
+                    lapack_int* iseed, lapack_complex_double* work,
+                    lapack_int *info );
+void LAPACK_slapmr( lapack_logical* forwrd, lapack_int* m, lapack_int* n,
+                    float* x, lapack_int* ldx, lapack_int* k );
+void LAPACK_dlapmr( lapack_logical* forwrd, lapack_int* m, lapack_int* n,
+                    double* x, lapack_int* ldx, lapack_int* k );
+void LAPACK_clapmr( lapack_logical* forwrd, lapack_int* m, lapack_int* n,
+                    lapack_complex_float* x, lapack_int* ldx, lapack_int* k );
+void LAPACK_zlapmr( lapack_logical* forwrd, lapack_int* m, lapack_int* n,
+                    lapack_complex_double* x, lapack_int* ldx, lapack_int* k );
+float LAPACK_slapy2( float* x, float* y );
+double LAPACK_dlapy2( double* x, double* y );
+float LAPACK_slapy3( float* x, float* y, float* z );
+double LAPACK_dlapy3( double* x, double* y, double* z );
+void LAPACK_slartgp( float* f, float* g, float* cs, float* sn, float* r );
+void LAPACK_dlartgp( double* f, double* g, double* cs, double* sn, double* r );
+void LAPACK_slartgs( float* x, float* y, float* sigma, float* cs, float* sn );
+void LAPACK_dlartgs( double* x, double* y, double* sigma, double* cs,
+                     double* sn );
+// LAPACK 3.3.0
+void LAPACK_cbbcsd( char* jobu1, char* jobu2,
+                    char* jobv1t, char* jobv2t, char* trans,
+                    lapack_int* m, lapack_int* p, lapack_int* q,
+                    float* theta, float* phi,
+                    lapack_complex_float* u1, lapack_int* ldu1,
+                    lapack_complex_float* u2, lapack_int* ldu2,
+                    lapack_complex_float* v1t, lapack_int* ldv1t,
+                    lapack_complex_float* v2t, lapack_int* ldv2t,
+                    float* b11d, float* b11e, float* b12d,
+                    float* b12e, float* b21d, float* b21e,
+                    float* b22d, float* b22e, float* rwork,
+                    lapack_int* lrwork , lapack_int *info );
+void LAPACK_cheswapr( char* uplo, lapack_int* n,
+                      lapack_complex_float* a, lapack_int* i1,
+                      lapack_int* i2 );
+void LAPACK_chetri2( char* uplo, lapack_int* n,
+                     lapack_complex_float* a, lapack_int* lda,
+                     const lapack_int* ipiv,
+                     lapack_complex_float* work, lapack_int* lwork , lapack_int *info );
+void LAPACK_chetri2x( char* uplo, lapack_int* n,
+                      lapack_complex_float* a, lapack_int* lda,
+                      const lapack_int* ipiv,
+                      lapack_complex_float* work, lapack_int* nb , lapack_int *info );
+void LAPACK_chetrs2( char* uplo, lapack_int* n,
+                     lapack_int* nrhs, const lapack_complex_float* a,
+                     lapack_int* lda, const lapack_int* ipiv,
+                     lapack_complex_float* b, lapack_int* ldb,
+                     lapack_complex_float* work , lapack_int *info );
+void LAPACK_csyconv( char* uplo, char* way,
+                     lapack_int* n, lapack_complex_float* a,
+                     lapack_int* lda, const lapack_int* ipiv,
+                     lapack_complex_float* work , lapack_int *info );
+void LAPACK_csyswapr( char* uplo, lapack_int* n,
+                      lapack_complex_float* a, lapack_int* i1,
+                      lapack_int* i2 );
+void LAPACK_csytri2( char* uplo, lapack_int* n,
+                     lapack_complex_float* a, lapack_int* lda,
+                     const lapack_int* ipiv,
+                     lapack_complex_float* work, lapack_int* lwork , lapack_int *info );
+void LAPACK_csytri2x( char* uplo, lapack_int* n,
+                      lapack_complex_float* a, lapack_int* lda,
+                      const lapack_int* ipiv,
+                      lapack_complex_float* work, lapack_int* nb , lapack_int *info );
+void LAPACK_csytrs2( char* uplo, lapack_int* n,
+                     lapack_int* nrhs, const lapack_complex_float* a,
+                     lapack_int* lda, const lapack_int* ipiv,
+                     lapack_complex_float* b, lapack_int* ldb,
+                     lapack_complex_float* work , lapack_int *info );
+void LAPACK_cunbdb( char* trans, char* signs,
+                    lapack_int* m, lapack_int* p, lapack_int* q,
+                    lapack_complex_float* x11, lapack_int* ldx11,
+                    lapack_complex_float* x12, lapack_int* ldx12,
+                    lapack_complex_float* x21, lapack_int* ldx21,
+                    lapack_complex_float* x22, lapack_int* ldx22,
+                    float* theta, float* phi,
+                    lapack_complex_float* taup1,
+                    lapack_complex_float* taup2,
+                    lapack_complex_float* tauq1,
+                    lapack_complex_float* tauq2,
+                    lapack_complex_float* work, lapack_int* lwork , lapack_int *info );
+void LAPACK_cuncsd( char* jobu1, char* jobu2,
+                    char* jobv1t, char* jobv2t, char* trans,
+                    char* signs, lapack_int* m, lapack_int* p,
+                    lapack_int* q, lapack_complex_float* x11,
+                    lapack_int* ldx11, lapack_complex_float* x12,
+                    lapack_int* ldx12, lapack_complex_float* x21,
+                    lapack_int* ldx21, lapack_complex_float* x22,
+                    lapack_int* ldx22, float* theta,
+                    lapack_complex_float* u1, lapack_int* ldu1,
+                    lapack_complex_float* u2, lapack_int* ldu2,
+                    lapack_complex_float* v1t, lapack_int* ldv1t,
+                    lapack_complex_float* v2t, lapack_int* ldv2t,
+                    lapack_complex_float* work, lapack_int* lwork,
+                    float* rwork, lapack_int* lrwork,
+                    lapack_int* iwork , lapack_int *info );
+void LAPACK_dbbcsd( char* jobu1, char* jobu2,
+                    char* jobv1t, char* jobv2t, char* trans,
+                    lapack_int* m, lapack_int* p, lapack_int* q,
+                    double* theta, double* phi, double* u1,
+                    lapack_int* ldu1, double* u2, lapack_int* ldu2,
+                    double* v1t, lapack_int* ldv1t, double* v2t,
+                    lapack_int* ldv2t, double* b11d, double* b11e,
+                    double* b12d, double* b12e, double* b21d,
+                    double* b21e, double* b22d, double* b22e,
+                    double* work, lapack_int* lwork , lapack_int *info );
+void LAPACK_dorbdb( char* trans, char* signs,
+                    lapack_int* m, lapack_int* p, lapack_int* q,
+                    double* x11, lapack_int* ldx11, double* x12,
+                    lapack_int* ldx12, double* x21, lapack_int* ldx21,
+                    double* x22, lapack_int* ldx22, double* theta,
+                    double* phi, double* taup1, double* taup2,
+                    double* tauq1, double* tauq2, double* work,
+                    lapack_int* lwork , lapack_int *info );
+void LAPACK_dorcsd( char* jobu1, char* jobu2,
+                    char* jobv1t, char* jobv2t, char* trans,
+                    char* signs, lapack_int* m, lapack_int* p,
+                    lapack_int* q, double* x11, lapack_int* ldx11,
+                    double* x12, lapack_int* ldx12, double* x21,
+                    lapack_int* ldx21, double* x22, lapack_int* ldx22,
+                    double* theta, double* u1, lapack_int* ldu1,
+                    double* u2, lapack_int* ldu2, double* v1t,
+                    lapack_int* ldv1t, double* v2t, lapack_int* ldv2t,
+                    double* work, lapack_int* lwork,
+                    lapack_int* iwork , lapack_int *info );
+void LAPACK_dsyconv( char* uplo, char* way,
+                     lapack_int* n, double* a, lapack_int* lda,
+                     const lapack_int* ipiv, double* work , lapack_int *info );
+void LAPACK_dsyswapr( char* uplo, lapack_int* n,
+                      double* a, lapack_int* i1, lapack_int* i2 );
+void LAPACK_dsytri2( char* uplo, lapack_int* n,
+                     double* a, lapack_int* lda,
+                     const lapack_int* ipiv,
+                     lapack_complex_double* work, lapack_int* lwork , lapack_int *info );
+void LAPACK_dsytri2x( char* uplo, lapack_int* n,
+                      double* a, lapack_int* lda,
+                      const lapack_int* ipiv, double* work,
+                      lapack_int* nb , lapack_int *info );
+void LAPACK_dsytrs2( char* uplo, lapack_int* n,
+                     lapack_int* nrhs, const double* a,
+                     lapack_int* lda, const lapack_int* ipiv,
+                     double* b, lapack_int* ldb, double* work , lapack_int *info );
+void LAPACK_sbbcsd( char* jobu1, char* jobu2,
+                    char* jobv1t, char* jobv2t, char* trans,
+                    lapack_int* m, lapack_int* p, lapack_int* q,
+                    float* theta, float* phi, float* u1,
+                    lapack_int* ldu1, float* u2, lapack_int* ldu2,
+                    float* v1t, lapack_int* ldv1t, float* v2t,
+                    lapack_int* ldv2t, float* b11d, float* b11e,
+                    float* b12d, float* b12e, float* b21d,
+                    float* b21e, float* b22d, float* b22e,
+                    float* work, lapack_int* lwork , lapack_int *info );
+void LAPACK_sorbdb( char* trans, char* signs,
+                    lapack_int* m, lapack_int* p, lapack_int* q,
+                    float* x11, lapack_int* ldx11, float* x12,
+                    lapack_int* ldx12, float* x21, lapack_int* ldx21,
+                    float* x22, lapack_int* ldx22, float* theta,
+                    float* phi, float* taup1, float* taup2,
+                    float* tauq1, float* tauq2, float* work,
+                    lapack_int* lwork , lapack_int *info );
+void LAPACK_sorcsd( char* jobu1, char* jobu2,
+                    char* jobv1t, char* jobv2t, char* trans,
+                    char* signs, lapack_int* m, lapack_int* p,
+                    lapack_int* q, float* x11, lapack_int* ldx11,
+                    float* x12, lapack_int* ldx12, float* x21,
+                    lapack_int* ldx21, float* x22, lapack_int* ldx22,
+                    float* theta, float* u1, lapack_int* ldu1,
+                    float* u2, lapack_int* ldu2, float* v1t,
+                    lapack_int* ldv1t, float* v2t, lapack_int* ldv2t,
+                    float* work, lapack_int* lwork,
+                    lapack_int* iwork , lapack_int *info );
+void LAPACK_ssyconv( char* uplo, char* way,
+                     lapack_int* n, float* a, lapack_int* lda,
+                     const lapack_int* ipiv, float* work , lapack_int *info );
+void LAPACK_ssyswapr( char* uplo, lapack_int* n,
+                      float* a, lapack_int* i1, lapack_int* i2 );
+void LAPACK_ssytri2( char* uplo, lapack_int* n,
+                     float* a, lapack_int* lda,
+                     const lapack_int* ipiv,
+                     lapack_complex_float* work, lapack_int* lwork , lapack_int *info );
+void LAPACK_ssytri2x( char* uplo, lapack_int* n,
+                      float* a, lapack_int* lda,
+                      const lapack_int* ipiv, float* work,
+                      lapack_int* nb , lapack_int *info );
+void LAPACK_ssytrs2( char* uplo, lapack_int* n,
+                     lapack_int* nrhs, const float* a,
+                     lapack_int* lda, const lapack_int* ipiv,
+                     float* b, lapack_int* ldb, float* work , lapack_int *info );
+void LAPACK_zbbcsd( char* jobu1, char* jobu2,
+                    char* jobv1t, char* jobv2t, char* trans,
+                    lapack_int* m, lapack_int* p, lapack_int* q,
+                    double* theta, double* phi,
+                    lapack_complex_double* u1, lapack_int* ldu1,
+                    lapack_complex_double* u2, lapack_int* ldu2,
+                    lapack_complex_double* v1t, lapack_int* ldv1t,
+                    lapack_complex_double* v2t, lapack_int* ldv2t,
+                    double* b11d, double* b11e, double* b12d,
+                    double* b12e, double* b21d, double* b21e,
+                    double* b22d, double* b22e, double* rwork,
+                    lapack_int* lrwork , lapack_int *info );
+void LAPACK_zheswapr( char* uplo, lapack_int* n,
+                      lapack_complex_double* a, lapack_int* i1,
+                      lapack_int* i2 );
+void LAPACK_zhetri2( char* uplo, lapack_int* n,
+                     lapack_complex_double* a, lapack_int* lda,
+                     const lapack_int* ipiv,
+                     lapack_complex_double* work, lapack_int* lwork , lapack_int *info );
+void LAPACK_zhetri2x( char* uplo, lapack_int* n,
+                      lapack_complex_double* a, lapack_int* lda,
+                      const lapack_int* ipiv,
+                      lapack_complex_double* work, lapack_int* nb , lapack_int *info );
+void LAPACK_zhetrs2( char* uplo, lapack_int* n,
+                     lapack_int* nrhs,
+                     const lapack_complex_double* a, lapack_int* lda,
+                     const lapack_int* ipiv,
+                     lapack_complex_double* b, lapack_int* ldb,
+                     lapack_complex_double* work , lapack_int *info );
+void LAPACK_zsyconv( char* uplo, char* way,
+                     lapack_int* n, lapack_complex_double* a,
+                     lapack_int* lda, const lapack_int* ipiv,
+                     lapack_complex_double* work , lapack_int *info );
+void LAPACK_zsyswapr( char* uplo, lapack_int* n,
+                      lapack_complex_double* a, lapack_int* i1,
+                      lapack_int* i2 );
+void LAPACK_zsytri2( char* uplo, lapack_int* n,
+                     lapack_complex_double* a, lapack_int* lda,
+                     const lapack_int* ipiv,
+                     lapack_complex_double* work, lapack_int* lwork , lapack_int *info );
+void LAPACK_zsytri2x( char* uplo, lapack_int* n,
+                      lapack_complex_double* a, lapack_int* lda,
+                      const lapack_int* ipiv,
+                      lapack_complex_double* work, lapack_int* nb , lapack_int *info );
+void LAPACK_zsytrs2( char* uplo, lapack_int* n,
+                     lapack_int* nrhs,
+                     const lapack_complex_double* a, lapack_int* lda,
+                     const lapack_int* ipiv,
+                     lapack_complex_double* b, lapack_int* ldb,
+                     lapack_complex_double* work , lapack_int *info );
+void LAPACK_zunbdb( char* trans, char* signs,
+                    lapack_int* m, lapack_int* p, lapack_int* q,
+                    lapack_complex_double* x11, lapack_int* ldx11,
+                    lapack_complex_double* x12, lapack_int* ldx12,
+                    lapack_complex_double* x21, lapack_int* ldx21,
+                    lapack_complex_double* x22, lapack_int* ldx22,
+                    double* theta, double* phi,
+                    lapack_complex_double* taup1,
+                    lapack_complex_double* taup2,
+                    lapack_complex_double* tauq1,
+                    lapack_complex_double* tauq2,
+                    lapack_complex_double* work, lapack_int* lwork , lapack_int *info );
+void LAPACK_zuncsd( char* jobu1, char* jobu2,
+                    char* jobv1t, char* jobv2t, char* trans,
+                    char* signs, lapack_int* m, lapack_int* p,
+                    lapack_int* q, lapack_complex_double* x11,
+                    lapack_int* ldx11, lapack_complex_double* x12,
+                    lapack_int* ldx12, lapack_complex_double* x21,
+                    lapack_int* ldx21, lapack_complex_double* x22,
+                    lapack_int* ldx22, double* theta,
+                    lapack_complex_double* u1, lapack_int* ldu1,
+                    lapack_complex_double* u2, lapack_int* ldu2,
+                    lapack_complex_double* v1t, lapack_int* ldv1t,
+                    lapack_complex_double* v2t, lapack_int* ldv2t,
+                    lapack_complex_double* work, lapack_int* lwork,
+                    double* rwork, lapack_int* lrwork,
+                    lapack_int* iwork , lapack_int *info );
+// LAPACK 3.4.0
+void LAPACK_sgemqrt( char* side, char* trans, lapack_int* m, lapack_int* n,
+                     lapack_int* k, lapack_int* nb, const float* v,
+                     lapack_int* ldv, const float* t, lapack_int* ldt, float* c,
+                     lapack_int* ldc, float* work, lapack_int *info );
+void LAPACK_dgemqrt( char* side, char* trans, lapack_int* m, lapack_int* n,
+                     lapack_int* k, lapack_int* nb, const double* v,
+                     lapack_int* ldv, const double* t, lapack_int* ldt,
+                     double* c, lapack_int* ldc, double* work,
+                     lapack_int *info );
+void LAPACK_cgemqrt( char* side, char* trans, lapack_int* m, lapack_int* n,
+                     lapack_int* k, lapack_int* nb,
+                     const lapack_complex_float* v, lapack_int* ldv,
+                     const lapack_complex_float* t, lapack_int* ldt,
+                     lapack_complex_float* c, lapack_int* ldc,
+                     lapack_complex_float* work, lapack_int *info );
+void LAPACK_zgemqrt( char* side, char* trans, lapack_int* m, lapack_int* n,
+                     lapack_int* k, lapack_int* nb,
+                     const lapack_complex_double* v, lapack_int* ldv,
+                     const lapack_complex_double* t, lapack_int* ldt,
+                     lapack_complex_double* c, lapack_int* ldc,
+                     lapack_complex_double* work, lapack_int *info );
+void LAPACK_sgeqrt( lapack_int* m, lapack_int* n, lapack_int* nb, float* a,
+                    lapack_int* lda, float* t, lapack_int* ldt, float* work,
+                    lapack_int *info );
+void LAPACK_dgeqrt( lapack_int* m, lapack_int* n, lapack_int* nb, double* a,
+                    lapack_int* lda, double* t, lapack_int* ldt, double* work,
+                    lapack_int *info );
+void LAPACK_cgeqrt( lapack_int* m, lapack_int* n, lapack_int* nb,
+                    lapack_complex_float* a, lapack_int* lda,
+                    lapack_complex_float* t, lapack_int* ldt,
+                    lapack_complex_float* work, lapack_int *info );
+void LAPACK_zgeqrt( lapack_int* m, lapack_int* n, lapack_int* nb,
+                    lapack_complex_double* a, lapack_int* lda,
+                    lapack_complex_double* t, lapack_int* ldt,
+                    lapack_complex_double* work, lapack_int *info );
+void LAPACK_sgeqrt2( lapack_int* m, lapack_int* n, float* a, lapack_int* lda,
+                     float* t, lapack_int* ldt, lapack_int *info );
+void LAPACK_dgeqrt2( lapack_int* m, lapack_int* n, double* a, lapack_int* lda,
+                     double* t, lapack_int* ldt, lapack_int *info );
+void LAPACK_cgeqrt2( lapack_int* m, lapack_int* n, lapack_complex_float* a,
+                     lapack_int* lda, lapack_complex_float* t, lapack_int* ldt,
+                     lapack_int *info );
+void LAPACK_zgeqrt2( lapack_int* m, lapack_int* n, lapack_complex_double* a,
+                     lapack_int* lda, lapack_complex_double* t, lapack_int* ldt,
+                     lapack_int *info );
+void LAPACK_sgeqrt3( lapack_int* m, lapack_int* n, float* a, lapack_int* lda,
+                     float* t, lapack_int* ldt, lapack_int *info );
+void LAPACK_dgeqrt3( lapack_int* m, lapack_int* n, double* a, lapack_int* lda,
+                     double* t, lapack_int* ldt, lapack_int *info );
+void LAPACK_cgeqrt3( lapack_int* m, lapack_int* n, lapack_complex_float* a,
+                     lapack_int* lda, lapack_complex_float* t, lapack_int* ldt,
+                     lapack_int *info );
+void LAPACK_zgeqrt3( lapack_int* m, lapack_int* n, lapack_complex_double* a,
+                     lapack_int* lda, lapack_complex_double* t, lapack_int* ldt,
+                     lapack_int *info );
+void LAPACK_stpmqrt( char* side, char* trans, lapack_int* m, lapack_int* n,
+                     lapack_int* k, lapack_int* l, lapack_int* nb,
+                     const float* v, lapack_int* ldv, const float* t,
+                     lapack_int* ldt, float* a, lapack_int* lda, float* b,
+                     lapack_int* ldb, float* work, lapack_int *info );
+void LAPACK_dtpmqrt( char* side, char* trans, lapack_int* m, lapack_int* n,
+                     lapack_int* k, lapack_int* l, lapack_int* nb,
+                     const double* v, lapack_int* ldv, const double* t,
+                     lapack_int* ldt, double* a, lapack_int* lda, double* b,
+                     lapack_int* ldb, double* work, lapack_int *info );
+void LAPACK_ctpmqrt( char* side, char* trans, lapack_int* m, lapack_int* n,
+                     lapack_int* k, lapack_int* l, lapack_int* nb,
+                     const lapack_complex_float* v, lapack_int* ldv,
+                     const lapack_complex_float* t, lapack_int* ldt,
+                     lapack_complex_float* a, lapack_int* lda,
+                     lapack_complex_float* b, lapack_int* ldb,
+                     lapack_complex_float* work, lapack_int *info );
+void LAPACK_ztpmqrt( char* side, char* trans, lapack_int* m, lapack_int* n,
+                     lapack_int* k, lapack_int* l, lapack_int* nb,
+                     const lapack_complex_double* v, lapack_int* ldv,
+                     const lapack_complex_double* t, lapack_int* ldt,
+                     lapack_complex_double* a, lapack_int* lda,
+                     lapack_complex_double* b, lapack_int* ldb,
+                     lapack_complex_double* work, lapack_int *info );
+void LAPACK_dtpqrt( lapack_int* m, lapack_int* n, lapack_int* l, lapack_int* nb,
+                    double* a, lapack_int* lda, double* b, lapack_int* ldb,
+                    double* t, lapack_int* ldt, double* work,
+                    lapack_int *info );
+void LAPACK_ctpqrt( lapack_int* m, lapack_int* n, lapack_int* l, lapack_int* nb,
+                    lapack_complex_float* a, lapack_int* lda,
+                    lapack_complex_float* t, lapack_complex_float* b,
+                    lapack_int* ldb, lapack_int* ldt,
+                    lapack_complex_float* work, lapack_int *info );
+void LAPACK_ztpqrt( lapack_int* m, lapack_int* n, lapack_int* l, lapack_int* nb,
+                    lapack_complex_double* a, lapack_int* lda,
+                    lapack_complex_double* b, lapack_int* ldb,
+                    lapack_complex_double* t, lapack_int* ldt,
+                    lapack_complex_double* work, lapack_int *info );
+void LAPACK_stpqrt2( lapack_int* m, lapack_int* n, float* a, lapack_int* lda,
+                     float* b, lapack_int* ldb, float* t, lapack_int* ldt,
+                     lapack_int *info );
+void LAPACK_dtpqrt2( lapack_int* m, lapack_int* n, double* a, lapack_int* lda,
+                     double* b, lapack_int* ldb, double* t, lapack_int* ldt,
+                     lapack_int *info );
+void LAPACK_ctpqrt2( lapack_int* m, lapack_int* n, lapack_complex_float* a,
+                     lapack_int* lda, lapack_complex_float* b, lapack_int* ldb,
+                     lapack_complex_float* t, lapack_int* ldt,
+                     lapack_int *info );
+void LAPACK_ztpqrt2( lapack_int* m, lapack_int* n, lapack_complex_double* a,
+                     lapack_int* lda, lapack_complex_double* b, lapack_int* ldb,
+                     lapack_complex_double* t, lapack_int* ldt,
+                     lapack_int *info );
+void LAPACK_stprfb( char* side, char* trans, char* direct, char* storev,
+                    lapack_int* m, lapack_int* n, lapack_int* k, lapack_int* l,
+                    const float* v, lapack_int* ldv, const float* t,
+                    lapack_int* ldt, float* a, lapack_int* lda, float* b,
+                    lapack_int* ldb, const float* mywork,
+                    lapack_int* myldwork );
+void LAPACK_dtprfb( char* side, char* trans, char* direct, char* storev,
+                    lapack_int* m, lapack_int* n, lapack_int* k, lapack_int* l,
+                    const double* v, lapack_int* ldv, const double* t,
+                    lapack_int* ldt, double* a, lapack_int* lda, double* b,
+                    lapack_int* ldb, const double* mywork,
+                    lapack_int* myldwork );
+void LAPACK_ctprfb( char* side, char* trans, char* direct, char* storev,
+                    lapack_int* m, lapack_int* n, lapack_int* k, lapack_int* l,
+                    const lapack_complex_float* v, lapack_int* ldv,
+                    const lapack_complex_float* t, lapack_int* ldt,
+                    lapack_complex_float* a, lapack_int* lda,
+                    lapack_complex_float* b, lapack_int* ldb,
+                    const float* mywork, lapack_int* myldwork );
+void LAPACK_ztprfb( char* side, char* trans, char* direct, char* storev,
+                    lapack_int* m, lapack_int* n, lapack_int* k, lapack_int* l,
+                    const lapack_complex_double* v, lapack_int* ldv,
+                    const lapack_complex_double* t, lapack_int* ldt,
+                    lapack_complex_double* a, lapack_int* lda,
+                    lapack_complex_double* b, lapack_int* ldb,
+                    const double* mywork, lapack_int* myldwork );
+// LAPACK 3.X.X
+void LAPACK_csyr( char* uplo, lapack_int* n, lapack_complex_float* alpha,
+                      const lapack_complex_float* x, lapack_int* incx,
+                      lapack_complex_float* a, lapack_int* lda );
+void LAPACK_zsyr( char* uplo, lapack_int* n, lapack_complex_double* alpha,
+                      const lapack_complex_double* x, lapack_int* incx,
+                      lapack_complex_double* a, lapack_int* lda );
+
+#ifdef __cplusplus
+}
+#endif /* __cplusplus */
+
+#endif /* _LAPACKE_H_ */
+
+#endif /* _MKL_LAPACKE_H_ */
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/misc/blas.h
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/misc/blas.h	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/misc/blas.h	(revision 3761)
@@ -0,0 +1,440 @@
+#ifndef BLAS_H
+#define BLAS_H
+
+#ifdef __cplusplus
+extern "C"
+{
+#endif
+
+#define BLASFUNC(FUNC) FUNC##_
+
+#ifdef __WIN64__
+typedef long long BLASLONG;
+typedef unsigned long long BLASULONG;
+#else
+typedef long BLASLONG;
+typedef unsigned long BLASULONG;
+#endif
+
+int    BLASFUNC(xerbla)(const char *, int *info, int);
+
+float  BLASFUNC(sdot)  (int *, float  *, int *, float  *, int *);
+float  BLASFUNC(sdsdot)(int *, float  *,        float  *, int *, float  *, int *);
+
+double BLASFUNC(dsdot) (int *, float  *, int *, float  *, int *);
+double BLASFUNC(ddot)  (int *, double *, int *, double *, int *);
+double BLASFUNC(qdot)  (int *, double *, int *, double *, int *);
+
+int  BLASFUNC(cdotuw)  (int *, float  *, int *, float  *, int *, float*);
+int  BLASFUNC(cdotcw)  (int *, float  *, int *, float  *, int *, float*);
+int  BLASFUNC(zdotuw)  (int *, double  *, int *, double  *, int *, double*);
+int  BLASFUNC(zdotcw)  (int *, double  *, int *, double  *, int *, double*);
+
+int    BLASFUNC(saxpy) (const int *, const float  *, const float  *, const int *, float  *, const int *);
+int    BLASFUNC(daxpy) (const int *, const double *, const double *, const int *, double *, const int *);
+int    BLASFUNC(qaxpy) (const int *, const double *, const double *, const int *, double *, const int *);
+int    BLASFUNC(caxpy) (const int *, const float  *, const float  *, const int *, float  *, const int *);
+int    BLASFUNC(zaxpy) (const int *, const double *, const double *, const int *, double *, const int *);
+int    BLASFUNC(xaxpy) (const int *, const double *, const double *, const int *, double *, const int *);
+int    BLASFUNC(caxpyc)(const int *, const float  *, const float  *, const int *, float  *, const int *);
+int    BLASFUNC(zaxpyc)(const int *, const double *, const double *, const int *, double *, const int *);
+int    BLASFUNC(xaxpyc)(const int *, const double *, const double *, const int *, double *, const int *);
+
+int    BLASFUNC(scopy) (int *, float  *, int *, float  *, int *);
+int    BLASFUNC(dcopy) (int *, double *, int *, double *, int *);
+int    BLASFUNC(qcopy) (int *, double *, int *, double *, int *);
+int    BLASFUNC(ccopy) (int *, float  *, int *, float  *, int *);
+int    BLASFUNC(zcopy) (int *, double *, int *, double *, int *);
+int    BLASFUNC(xcopy) (int *, double *, int *, double *, int *);
+
+int    BLASFUNC(sswap) (int *, float  *, int *, float  *, int *);
+int    BLASFUNC(dswap) (int *, double *, int *, double *, int *);
+int    BLASFUNC(qswap) (int *, double *, int *, double *, int *);
+int    BLASFUNC(cswap) (int *, float  *, int *, float  *, int *);
+int    BLASFUNC(zswap) (int *, double *, int *, double *, int *);
+int    BLASFUNC(xswap) (int *, double *, int *, double *, int *);
+
+float  BLASFUNC(sasum) (int *, float  *, int *);
+float  BLASFUNC(scasum)(int *, float  *, int *);
+double BLASFUNC(dasum) (int *, double *, int *);
+double BLASFUNC(qasum) (int *, double *, int *);
+double BLASFUNC(dzasum)(int *, double *, int *);
+double BLASFUNC(qxasum)(int *, double *, int *);
+
+int    BLASFUNC(isamax)(int *, float  *, int *);
+int    BLASFUNC(idamax)(int *, double *, int *);
+int    BLASFUNC(iqamax)(int *, double *, int *);
+int    BLASFUNC(icamax)(int *, float  *, int *);
+int    BLASFUNC(izamax)(int *, double *, int *);
+int    BLASFUNC(ixamax)(int *, double *, int *);
+
+int    BLASFUNC(ismax) (int *, float  *, int *);
+int    BLASFUNC(idmax) (int *, double *, int *);
+int    BLASFUNC(iqmax) (int *, double *, int *);
+int    BLASFUNC(icmax) (int *, float  *, int *);
+int    BLASFUNC(izmax) (int *, double *, int *);
+int    BLASFUNC(ixmax) (int *, double *, int *);
+
+int    BLASFUNC(isamin)(int *, float  *, int *);
+int    BLASFUNC(idamin)(int *, double *, int *);
+int    BLASFUNC(iqamin)(int *, double *, int *);
+int    BLASFUNC(icamin)(int *, float  *, int *);
+int    BLASFUNC(izamin)(int *, double *, int *);
+int    BLASFUNC(ixamin)(int *, double *, int *);
+
+int    BLASFUNC(ismin)(int *, float  *, int *);
+int    BLASFUNC(idmin)(int *, double *, int *);
+int    BLASFUNC(iqmin)(int *, double *, int *);
+int    BLASFUNC(icmin)(int *, float  *, int *);
+int    BLASFUNC(izmin)(int *, double *, int *);
+int    BLASFUNC(ixmin)(int *, double *, int *);
+
+float  BLASFUNC(samax) (int *, float  *, int *);
+double BLASFUNC(damax) (int *, double *, int *);
+double BLASFUNC(qamax) (int *, double *, int *);
+float  BLASFUNC(scamax)(int *, float  *, int *);
+double BLASFUNC(dzamax)(int *, double *, int *);
+double BLASFUNC(qxamax)(int *, double *, int *);
+
+float  BLASFUNC(samin) (int *, float  *, int *);
+double BLASFUNC(damin) (int *, double *, int *);
+double BLASFUNC(qamin) (int *, double *, int *);
+float  BLASFUNC(scamin)(int *, float  *, int *);
+double BLASFUNC(dzamin)(int *, double *, int *);
+double BLASFUNC(qxamin)(int *, double *, int *);
+
+float  BLASFUNC(smax)  (int *, float  *, int *);
+double BLASFUNC(dmax)  (int *, double *, int *);
+double BLASFUNC(qmax)  (int *, double *, int *);
+float  BLASFUNC(scmax) (int *, float  *, int *);
+double BLASFUNC(dzmax) (int *, double *, int *);
+double BLASFUNC(qxmax) (int *, double *, int *);
+
+float  BLASFUNC(smin)  (int *, float  *, int *);
+double BLASFUNC(dmin)  (int *, double *, int *);
+double BLASFUNC(qmin)  (int *, double *, int *);
+float  BLASFUNC(scmin) (int *, float  *, int *);
+double BLASFUNC(dzmin) (int *, double *, int *);
+double BLASFUNC(qxmin) (int *, double *, int *);
+
+int    BLASFUNC(sscal) (int *,  float  *, float  *, int *);
+int    BLASFUNC(dscal) (int *,  double *, double *, int *);
+int    BLASFUNC(qscal) (int *,  double *, double *, int *);
+int    BLASFUNC(cscal) (int *,  float  *, float  *, int *);
+int    BLASFUNC(zscal) (int *,  double *, double *, int *);
+int    BLASFUNC(xscal) (int *,  double *, double *, int *);
+int    BLASFUNC(csscal)(int *,  float  *, float  *, int *);
+int    BLASFUNC(zdscal)(int *,  double *, double *, int *);
+int    BLASFUNC(xqscal)(int *,  double *, double *, int *);
+
+float  BLASFUNC(snrm2) (int *, float  *, int *);
+float  BLASFUNC(scnrm2)(int *, float  *, int *);
+
+double BLASFUNC(dnrm2) (int *, double *, int *);
+double BLASFUNC(qnrm2) (int *, double *, int *);
+double BLASFUNC(dznrm2)(int *, double *, int *);
+double BLASFUNC(qxnrm2)(int *, double *, int *);
+
+int    BLASFUNC(srot)  (int *, float  *, int *, float  *, int *, float  *, float  *);
+int    BLASFUNC(drot)  (int *, double *, int *, double *, int *, double *, double *);
+int    BLASFUNC(qrot)  (int *, double *, int *, double *, int *, double *, double *);
+int    BLASFUNC(csrot) (int *, float  *, int *, float  *, int *, float  *, float  *);
+int    BLASFUNC(zdrot) (int *, double *, int *, double *, int *, double *, double *);
+int    BLASFUNC(xqrot) (int *, double *, int *, double *, int *, double *, double *);
+
+int    BLASFUNC(srotg) (float  *, float  *, float  *, float  *);
+int    BLASFUNC(drotg) (double *, double *, double *, double *);
+int    BLASFUNC(qrotg) (double *, double *, double *, double *);
+int    BLASFUNC(crotg) (float  *, float  *, float  *, float  *);
+int    BLASFUNC(zrotg) (double *, double *, double *, double *);
+int    BLASFUNC(xrotg) (double *, double *, double *, double *);
+
+int    BLASFUNC(srotmg)(float  *, float  *, float  *, float  *, float  *);
+int    BLASFUNC(drotmg)(double *, double *, double *, double *, double *);
+
+int    BLASFUNC(srotm) (int *, float  *, int *, float  *, int *, float  *);
+int    BLASFUNC(drotm) (int *, double *, int *, double *, int *, double *);
+int    BLASFUNC(qrotm) (int *, double *, int *, double *, int *, double *);
+
+/* Level 2 routines */
+
+int BLASFUNC(sger)(int *,    int *, float *,  float *, int *,
+		   float *,  int *, float *,  int *);
+int BLASFUNC(dger)(int *,    int *, double *, double *, int *,
+		   double *, int *, double *, int *);
+int BLASFUNC(qger)(int *,    int *, double *, double *, int *,
+		   double *, int *, double *, int *);
+int BLASFUNC(cgeru)(int *,    int *, float *,  float *, int *,
+		    float *,  int *, float *,  int *);
+int BLASFUNC(cgerc)(int *,    int *, float *,  float *, int *,
+		    float *,  int *, float *,  int *);
+int BLASFUNC(zgeru)(int *,    int *, double *, double *, int *,
+		    double *, int *, double *, int *);
+int BLASFUNC(zgerc)(int *,    int *, double *, double *, int *,
+		    double *, int *, double *, int *);
+int BLASFUNC(xgeru)(int *,    int *, double *, double *, int *,
+		    double *, int *, double *, int *);
+int BLASFUNC(xgerc)(int *,    int *, double *, double *, int *,
+		    double *, int *, double *, int *);
+
+int BLASFUNC(sgemv)(const char *, const int *, const int *, const float  *, const float  *, const int *, const float  *, const int *, const float  *, float  *, const int *);
+int BLASFUNC(dgemv)(const char *, const int *, const int *, const double *, const double *, const int *, const double *, const int *, const double *, double *, const int *);
+int BLASFUNC(qgemv)(const char *, const int *, const int *, const double *, const double *, const int *, const double *, const int *, const double *, double *, const int *);
+int BLASFUNC(cgemv)(const char *, const int *, const int *, const float  *, const float  *, const int *, const float  *, const int *, const float  *, float  *, const int *);
+int BLASFUNC(zgemv)(const char *, const int *, const int *, const double *, const double *, const int *, const double *, const int *, const double *, double *, const int *);
+int BLASFUNC(xgemv)(const char *, const int *, const int *, const double *, const double *, const int *, const double *, const int *, const double *, double *, const int *);
+
+int BLASFUNC(strsv) (const char *, const char *, const char *, const int *, const float  *, const int *, float  *, const int *);
+int BLASFUNC(dtrsv) (const char *, const char *, const char *, const int *, const double *, const int *, double *, const int *);
+int BLASFUNC(qtrsv) (const char *, const char *, const char *, const int *, const double *, const int *, double *, const int *);
+int BLASFUNC(ctrsv) (const char *, const char *, const char *, const int *, const float  *, const int *, float  *, const int *);
+int BLASFUNC(ztrsv) (const char *, const char *, const char *, const int *, const double *, const int *, double *, const int *);
+int BLASFUNC(xtrsv) (const char *, const char *, const char *, const int *, const double *, const int *, double *, const int *);
+
+int BLASFUNC(stpsv) (char *, char *, char *, int *, float  *, float  *, int *);
+int BLASFUNC(dtpsv) (char *, char *, char *, int *, double *, double *, int *);
+int BLASFUNC(qtpsv) (char *, char *, char *, int *, double *, double *, int *);
+int BLASFUNC(ctpsv) (char *, char *, char *, int *, float  *, float  *, int *);
+int BLASFUNC(ztpsv) (char *, char *, char *, int *, double *, double *, int *);
+int BLASFUNC(xtpsv) (char *, char *, char *, int *, double *, double *, int *);
+
+int BLASFUNC(strmv) (const char *, const char *, const char *, const int *, const float  *, const int *, float  *, const int *);
+int BLASFUNC(dtrmv) (const char *, const char *, const char *, const int *, const double *, const int *, double *, const int *);
+int BLASFUNC(qtrmv) (const char *, const char *, const char *, const int *, const double *, const int *, double *, const int *);
+int BLASFUNC(ctrmv) (const char *, const char *, const char *, const int *, const float  *, const int *, float  *, const int *);
+int BLASFUNC(ztrmv) (const char *, const char *, const char *, const int *, const double *, const int *, double *, const int *);
+int BLASFUNC(xtrmv) (const char *, const char *, const char *, const int *, const double *, const int *, double *, const int *);
+
+int BLASFUNC(stpmv) (char *, char *, char *, int *, float  *, float  *, int *);
+int BLASFUNC(dtpmv) (char *, char *, char *, int *, double *, double *, int *);
+int BLASFUNC(qtpmv) (char *, char *, char *, int *, double *, double *, int *);
+int BLASFUNC(ctpmv) (char *, char *, char *, int *, float  *, float  *, int *);
+int BLASFUNC(ztpmv) (char *, char *, char *, int *, double *, double *, int *);
+int BLASFUNC(xtpmv) (char *, char *, char *, int *, double *, double *, int *);
+
+int BLASFUNC(stbmv) (char *, char *, char *, int *, int *, float  *, int *, float  *, int *);
+int BLASFUNC(dtbmv) (char *, char *, char *, int *, int *, double *, int *, double *, int *);
+int BLASFUNC(qtbmv) (char *, char *, char *, int *, int *, double *, int *, double *, int *);
+int BLASFUNC(ctbmv) (char *, char *, char *, int *, int *, float  *, int *, float  *, int *);
+int BLASFUNC(ztbmv) (char *, char *, char *, int *, int *, double *, int *, double *, int *);
+int BLASFUNC(xtbmv) (char *, char *, char *, int *, int *, double *, int *, double *, int *);
+
+int BLASFUNC(stbsv) (char *, char *, char *, int *, int *, float  *, int *, float  *, int *);
+int BLASFUNC(dtbsv) (char *, char *, char *, int *, int *, double *, int *, double *, int *);
+int BLASFUNC(qtbsv) (char *, char *, char *, int *, int *, double *, int *, double *, int *);
+int BLASFUNC(ctbsv) (char *, char *, char *, int *, int *, float  *, int *, float  *, int *);
+int BLASFUNC(ztbsv) (char *, char *, char *, int *, int *, double *, int *, double *, int *);
+int BLASFUNC(xtbsv) (char *, char *, char *, int *, int *, double *, int *, double *, int *);
+
+int BLASFUNC(ssymv) (const char *, const int *, const float  *, const float  *, const int *, const float  *, const int *, const float  *, float  *, const int *);
+int BLASFUNC(dsymv) (const char *, const int *, const double *, const double *, const int *, const double *, const int *, const double *, double *, const int *);
+int BLASFUNC(qsymv) (const char *, const int *, const double *, const double *, const int *, const double *, const int *, const double *, double *, const int *);
+
+int BLASFUNC(sspmv) (char *, int *, float  *, float *,
+		     float  *, int *, float *, float *, int *);
+int BLASFUNC(dspmv) (char *, int *, double  *, double *,
+		     double  *, int *, double *, double *, int *);
+int BLASFUNC(qspmv) (char *, int *, double  *, double *,
+		     double  *, int *, double *, double *, int *);
+
+int BLASFUNC(ssyr) (const char *, const int *, const float   *, const float  *, const int *, float  *, const int *);
+int BLASFUNC(dsyr) (const char *, const int *, const double  *, const double *, const int *, double *, const int *);
+int BLASFUNC(qsyr) (const char *, const int *, const double  *, const double *, const int *, double *, const int *);
+
+int BLASFUNC(ssyr2) (const char *, const int *, const float   *, const float  *, const int *, const float  *, const int *, float  *, const int *);
+int BLASFUNC(dsyr2) (const char *, const int *, const double  *, const double *, const int *, const double *, const int *, double *, const int *);
+int BLASFUNC(qsyr2) (const char *, const int *, const double  *, const double *, const int *, const double *, const int *, double *, const int *);
+int BLASFUNC(csyr2) (const char *, const int *, const float   *, const float  *, const int *, const float  *, const int *, float  *, const int *);
+int BLASFUNC(zsyr2) (const char *, const int *, const double  *, const double *, const int *, const double *, const int *, double *, const int *);
+int BLASFUNC(xsyr2) (const char *, const int *, const double  *, const double *, const int *, const double *, const int *, double *, const int *);
+
+int BLASFUNC(sspr) (char *, int *, float   *, float  *, int *,
+		    float  *);
+int BLASFUNC(dspr) (char *, int *, double  *, double *, int *,
+		    double *);
+int BLASFUNC(qspr) (char *, int *, double  *, double *, int *,
+		    double *);
+
+int BLASFUNC(sspr2) (char *, int *, float   *,
+		     float  *, int *, float  *, int *, float  *);
+int BLASFUNC(dspr2) (char *, int *, double  *,
+		     double *, int *, double *, int *, double *);
+int BLASFUNC(qspr2) (char *, int *, double  *,
+		     double *, int *, double *, int *, double *);
+int BLASFUNC(cspr2) (char *, int *, float   *,
+		     float  *, int *, float  *, int *, float  *);
+int BLASFUNC(zspr2) (char *, int *, double  *,
+		     double *, int *, double *, int *, double *);
+int BLASFUNC(xspr2) (char *, int *, double  *,
+		     double *, int *, double *, int *, double *);
+
+int BLASFUNC(cher) (char *, int *, float   *, float  *, int *,
+		    float  *, int *);
+int BLASFUNC(zher) (char *, int *, double  *, double *, int *,
+		    double *, int *);
+int BLASFUNC(xher) (char *, int *, double  *, double *, int *,
+		    double *, int *);
+
+int BLASFUNC(chpr) (char *, int *, float   *, float  *, int *, float  *);
+int BLASFUNC(zhpr) (char *, int *, double  *, double *, int *, double *);
+int BLASFUNC(xhpr) (char *, int *, double  *, double *, int *, double *);
+
+int BLASFUNC(cher2) (char *, int *, float   *,
+		     float  *, int *, float  *, int *, float  *, int *);
+int BLASFUNC(zher2) (char *, int *, double  *,
+		     double *, int *, double *, int *, double *, int *);
+int BLASFUNC(xher2) (char *, int *, double  *,
+		     double *, int *, double *, int *, double *, int *);
+
+int BLASFUNC(chpr2) (char *, int *, float   *,
+		     float  *, int *, float  *, int *, float  *);
+int BLASFUNC(zhpr2) (char *, int *, double  *,
+		     double *, int *, double *, int *, double *);
+int BLASFUNC(xhpr2) (char *, int *, double  *,
+		     double *, int *, double *, int *, double *);
+
+int BLASFUNC(chemv) (const char *, const int *, const float  *, const float  *, const int *, const float  *, const int *, const float  *, float  *, const int *);
+int BLASFUNC(zhemv) (const char *, const int *, const double *, const double *, const int *, const double *, const int *, const double *, double *, const int *);
+int BLASFUNC(xhemv) (const char *, const int *, const double *, const double *, const int *, const double *, const int *, const double *, double *, const int *);
+
+int BLASFUNC(chpmv) (char *, int *, float  *, float *,
+		     float  *, int *, float *, float *, int *);
+int BLASFUNC(zhpmv) (char *, int *, double  *, double *,
+		     double  *, int *, double *, double *, int *);
+int BLASFUNC(xhpmv) (char *, int *, double  *, double *,
+		     double  *, int *, double *, double *, int *);
+
+int BLASFUNC(snorm)(char *, int *, int *, float  *, int *);
+int BLASFUNC(dnorm)(char *, int *, int *, double *, int *);
+int BLASFUNC(cnorm)(char *, int *, int *, float  *, int *);
+int BLASFUNC(znorm)(char *, int *, int *, double *, int *);
+
+int BLASFUNC(sgbmv)(char *, int *, int *, int *, int *, float  *, float  *, int *,
+		    float  *, int *, float  *, float  *, int *);
+int BLASFUNC(dgbmv)(char *, int *, int *, int *, int *, double *, double *, int *,
+		    double *, int *, double *, double *, int *);
+int BLASFUNC(qgbmv)(char *, int *, int *, int *, int *, double *, double *, int *,
+		    double *, int *, double *, double *, int *);
+int BLASFUNC(cgbmv)(char *, int *, int *, int *, int *, float  *, float  *, int *,
+		    float  *, int *, float  *, float  *, int *);
+int BLASFUNC(zgbmv)(char *, int *, int *, int *, int *, double *, double *, int *,
+		    double *, int *, double *, double *, int *);
+int BLASFUNC(xgbmv)(char *, int *, int *, int *, int *, double *, double *, int *,
+		    double *, int *, double *, double *, int *);
+
+int BLASFUNC(ssbmv)(char *, int *, int *, float  *, float  *, int *,
+		    float  *, int *, float  *, float  *, int *);
+int BLASFUNC(dsbmv)(char *, int *, int *, double *, double *, int *,
+		    double *, int *, double *, double *, int *);
+int BLASFUNC(qsbmv)(char *, int *, int *, double *, double *, int *,
+		    double *, int *, double *, double *, int *);
+int BLASFUNC(csbmv)(char *, int *, int *, float  *, float  *, int *,
+		    float  *, int *, float  *, float  *, int *);
+int BLASFUNC(zsbmv)(char *, int *, int *, double *, double *, int *,
+		    double *, int *, double *, double *, int *);
+int BLASFUNC(xsbmv)(char *, int *, int *, double *, double *, int *,
+		    double *, int *, double *, double *, int *);
+
+int BLASFUNC(chbmv)(char *, int *, int *, float  *, float  *, int *,
+		    float  *, int *, float  *, float  *, int *);
+int BLASFUNC(zhbmv)(char *, int *, int *, double *, double *, int *,
+		    double *, int *, double *, double *, int *);
+int BLASFUNC(xhbmv)(char *, int *, int *, double *, double *, int *,
+		    double *, int *, double *, double *, int *);
+
+/* Level 3 routines */
+
+int BLASFUNC(sgemm)(const char *, const char *, const int *, const int *, const int *, const float  *, const float  *, const int *, const float  *, const int *, const float  *, float  *, const int *);
+int BLASFUNC(dgemm)(const char *, const char *, const int *, const int *, const int *, const double *, const double *, const int *, const double *, const int *, const double *, double *, const int *);
+int BLASFUNC(qgemm)(const char *, const char *, const int *, const int *, const int *, const double *, const double *, const int *, const double *, const int *, const double *, double *, const int *);
+int BLASFUNC(cgemm)(const char *, const char *, const int *, const int *, const int *, const float  *, const float  *, const int *, const float  *, const int *, const float  *, float  *, const int *);
+int BLASFUNC(zgemm)(const char *, const char *, const int *, const int *, const int *, const double *, const double *, const int *, const double *, const int *, const double *, double *, const int *);
+int BLASFUNC(xgemm)(const char *, const char *, const int *, const int *, const int *, const double *, const double *, const int *, const double *, const int *, const double *, double *, const int *);
+
+int BLASFUNC(cgemm3m)(char *, char *, int *, int *, int *, float *,
+	   float  *, int *, float  *, int *, float  *, float  *, int *);
+int BLASFUNC(zgemm3m)(char *, char *, int *, int *, int *, double *,
+	   double *, int *, double *, int *, double *, double *, int *);
+int BLASFUNC(xgemm3m)(char *, char *, int *, int *, int *, double *,
+	   double *, int *, double *, int *, double *, double *, int *);
+
+int BLASFUNC(sge2mm)(char *, char *, char *, int *, int *,
+		     float *, float  *, int *, float  *, int *,
+		     float *, float  *, int *);
+int BLASFUNC(dge2mm)(char *, char *, char *, int *, int *,
+		     double *, double  *, int *, double  *, int *,
+		     double *, double  *, int *);
+int BLASFUNC(cge2mm)(char *, char *, char *, int *, int *,
+		     float *, float  *, int *, float  *, int *,
+		     float *, float  *, int *);
+int BLASFUNC(zge2mm)(char *, char *, char *, int *, int *,
+		     double *, double  *, int *, double  *, int *,
+		     double *, double  *, int *);
+
+int BLASFUNC(strsm)(const char *, const char *, const char *, const char *, const int *, const int *, const float *,  const float *,  const int *, float *,  const int *);
+int BLASFUNC(dtrsm)(const char *, const char *, const char *, const char *, const int *, const int *, const double *, const double *, const int *, double *, const int *);
+int BLASFUNC(qtrsm)(const char *, const char *, const char *, const char *, const int *, const int *, const double *, const double *, const int *, double *, const int *);
+int BLASFUNC(ctrsm)(const char *, const char *, const char *, const char *, const int *, const int *, const float *,  const float *,  const int *, float *,  const int *);
+int BLASFUNC(ztrsm)(const char *, const char *, const char *, const char *, const int *, const int *, const double *, const double *, const int *, double *, const int *);
+int BLASFUNC(xtrsm)(const char *, const char *, const char *, const char *, const int *, const int *, const double *, const double *, const int *, double *, const int *);
+
+int BLASFUNC(strmm)(const char *, const char *, const char *, const char *, const int *, const int *, const float *,  const float *,  const int *, float *,  const int *);
+int BLASFUNC(dtrmm)(const char *, const char *, const char *, const char *, const int *, const int *, const double *, const double *, const int *, double *, const int *);
+int BLASFUNC(qtrmm)(const char *, const char *, const char *, const char *, const int *, const int *, const double *, const double *, const int *, double *, const int *);
+int BLASFUNC(ctrmm)(const char *, const char *, const char *, const char *, const int *, const int *, const float *,  const float *,  const int *, float *,  const int *);
+int BLASFUNC(ztrmm)(const char *, const char *, const char *, const char *, const int *, const int *, const double *, const double *, const int *, double *, const int *);
+int BLASFUNC(xtrmm)(const char *, const char *, const char *, const char *, const int *, const int *, const double *, const double *, const int *, double *, const int *);
+
+int BLASFUNC(ssymm)(const char *, const char *, const int *, const int *, const float  *, const float  *, const int *, const float  *, const int *, const float  *, float  *, const int *);
+int BLASFUNC(dsymm)(const char *, const char *, const int *, const int *, const double *, const double *, const int *, const double *, const int *, const double *, double *, const int *);
+int BLASFUNC(qsymm)(const char *, const char *, const int *, const int *, const double *, const double *, const int *, const double *, const int *, const double *, double *, const int *);
+int BLASFUNC(csymm)(const char *, const char *, const int *, const int *, const float  *, const float  *, const int *, const float  *, const int *, const float  *, float  *, const int *);
+int BLASFUNC(zsymm)(const char *, const char *, const int *, const int *, const double *, const double *, const int *, const double *, const int *, const double *, double *, const int *);
+int BLASFUNC(xsymm)(const char *, const char *, const int *, const int *, const double *, const double *, const int *, const double *, const int *, const double *, double *, const int *);
+
+int BLASFUNC(csymm3m)(char *, char *, int *, int *, float  *, float  *, int *, float  *, int *, float  *, float  *, int *);
+int BLASFUNC(zsymm3m)(char *, char *, int *, int *, double *, double *, int *, double *, int *, double *, double *, int *);
+int BLASFUNC(xsymm3m)(char *, char *, int *, int *, double *, double *, int *, double *, int *, double *, double *, int *);
+
+int BLASFUNC(ssyrk)(const char *, const char *, const int *, const int *, const float  *, const float  *, const int *, const float  *, float  *, const int *);
+int BLASFUNC(dsyrk)(const char *, const char *, const int *, const int *, const double *, const double *, const int *, const double *, double *, const int *);
+int BLASFUNC(qsyrk)(const char *, const char *, const int *, const int *, const double *, const double *, const int *, const double *, double *, const int *);
+int BLASFUNC(csyrk)(const char *, const char *, const int *, const int *, const float  *, const float  *, const int *, const float  *, float  *, const int *);
+int BLASFUNC(zsyrk)(const char *, const char *, const int *, const int *, const double *, const double *, const int *, const double *, double *, const int *);
+int BLASFUNC(xsyrk)(const char *, const char *, const int *, const int *, const double *, const double *, const int *, const double *, double *, const int *);
+
+int BLASFUNC(ssyr2k)(const char *, const char *, const int *, const int *, const float  *, const float  *, const int *, const float *, const int *, const float  *, float  *, const int *);
+int BLASFUNC(dsyr2k)(const char *, const char *, const int *, const int *, const double *, const double *, const int *, const double*, const int *, const double *, double *, const int *);
+int BLASFUNC(qsyr2k)(const char *, const char *, const int *, const int *, const double *, const double *, const int *, const double*, const int *, const double *, double *, const int *);
+int BLASFUNC(csyr2k)(const char *, const char *, const int *, const int *, const float  *, const float  *, const int *, const float *, const int *, const float  *, float  *, const int *);
+int BLASFUNC(zsyr2k)(const char *, const char *, const int *, const int *, const double *, const double *, const int *, const double*, const int *, const double *, double *, const int *);
+int BLASFUNC(xsyr2k)(const char *, const char *, const int *, const int *, const double *, const double *, const int *, const double*, const int *, const double *, double *, const int *);
+
+int BLASFUNC(chemm)(const char *, const char *, const int *, const int *, const float  *, const float  *, const int *, const float  *, const int *, const float  *, float  *, const int *);
+int BLASFUNC(zhemm)(const char *, const char *, const int *, const int *, const double *, const double *, const int *, const double *, const int *, const double *, double *, const int *);
+int BLASFUNC(xhemm)(const char *, const char *, const int *, const int *, const double *, const double *, const int *, const double *, const int *, const double *, double *, const int *);
+
+int BLASFUNC(chemm3m)(char *, char *, int *, int *, float  *, float  *, int *,
+	   float  *, int *, float  *, float  *, int *);
+int BLASFUNC(zhemm3m)(char *, char *, int *, int *, double *, double *, int *,
+	   double *, int *, double *, double *, int *);
+int BLASFUNC(xhemm3m)(char *, char *, int *, int *, double *, double *, int *,
+	   double *, int *, double *, double *, int *);
+
+int BLASFUNC(cherk)(const char *, const char *, const int *, const int *, const float  *, const float  *, const int *, const float  *, float  *, const int *);
+int BLASFUNC(zherk)(const char *, const char *, const int *, const int *, const double *, const double *, const int *, const double *, double *, const int *);
+int BLASFUNC(xherk)(const char *, const char *, const int *, const int *, const double *, const double *, const int *, const double *, double *, const int *);
+
+int BLASFUNC(cher2k)(const char *, const char *, const int *, const int *, const float  *, const float  *, const int *, const float  *, const int *, const float  *, float  *, const int *);
+int BLASFUNC(zher2k)(const char *, const char *, const int *, const int *, const double *, const double *, const int *, const double *, const int *, const double *, double *, const int *);
+int BLASFUNC(xher2k)(const char *, const char *, const int *, const int *, const double *, const double *, const int *, const double *, const int *, const double *, double *, const int *);
+int BLASFUNC(cher2m)(const char *, const char *, const char *, const int *, const int *, const float  *, const float  *, const int *, const float *, const int *, const float  *, float  *, const int *);
+int BLASFUNC(zher2m)(const char *, const char *, const char *, const int *, const int *, const double *, const double *, const int *, const double*, const int *, const double *, double *, const int *);
+int BLASFUNC(xher2m)(const char *, const char *, const char *, const int *, const int *, const double *, const double *, const int *, const double*, const int *, const double *, double *, const int *);
+
+
+#ifdef __cplusplus
+}
+#endif
+
+#endif
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/misc/Image.h
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/misc/Image.h	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/misc/Image.h	(revision 3761)
@@ -0,0 +1,82 @@
+// This file is part of Eigen, a lightweight C++ template library
+// for linear algebra.
+//
+// Copyright (C) 2009 Benoit Jacob <jacob.benoit.1@gmail.com>
+//
+// This Source Code Form is subject to the terms of the Mozilla
+// Public License v. 2.0. If a copy of the MPL was not distributed
+// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
+
+#ifndef EIGEN_MISC_IMAGE_H
+#define EIGEN_MISC_IMAGE_H
+
+namespace Eigen { 
+
+namespace internal {
+
+/** \class image_retval_base
+  *
+  */
+template<typename DecompositionType>
+struct traits<image_retval_base<DecompositionType> >
+{
+  typedef typename DecompositionType::MatrixType MatrixType;
+  typedef Matrix<
+    typename MatrixType::Scalar,
+    MatrixType::RowsAtCompileTime, // the image is a subspace of the destination space, whose
+                                   // dimension is the number of rows of the original matrix
+    Dynamic,                       // we don't know at compile time the dimension of the image (the rank)
+    MatrixType::Options,
+    MatrixType::MaxRowsAtCompileTime, // the image matrix will consist of columns from the original matrix,
+    MatrixType::MaxColsAtCompileTime  // so it has the same number of rows and at most as many columns.
+  > ReturnType;
+};
+
+template<typename _DecompositionType> struct image_retval_base
+ : public ReturnByValue<image_retval_base<_DecompositionType> >
+{
+  typedef _DecompositionType DecompositionType;
+  typedef typename DecompositionType::MatrixType MatrixType;
+  typedef ReturnByValue<image_retval_base> Base;
+
+  image_retval_base(const DecompositionType& dec, const MatrixType& originalMatrix)
+    : m_dec(dec), m_rank(dec.rank()),
+      m_cols(m_rank == 0 ? 1 : m_rank),
+      m_originalMatrix(originalMatrix)
+  {}
+
+  inline Index rows() const { return m_dec.rows(); }
+  inline Index cols() const { return m_cols; }
+  inline Index rank() const { return m_rank; }
+  inline const DecompositionType& dec() const { return m_dec; }
+  inline const MatrixType& originalMatrix() const { return m_originalMatrix; }
+
+  template<typename Dest> inline void evalTo(Dest& dst) const
+  {
+    static_cast<const image_retval<DecompositionType>*>(this)->evalTo(dst);
+  }
+
+  protected:
+    const DecompositionType& m_dec;
+    Index m_rank, m_cols;
+    const MatrixType& m_originalMatrix;
+};
+
+} // end namespace internal
+
+#define EIGEN_MAKE_IMAGE_HELPERS(DecompositionType) \
+  typedef typename DecompositionType::MatrixType MatrixType; \
+  typedef typename MatrixType::Scalar Scalar; \
+  typedef typename MatrixType::RealScalar RealScalar; \
+  typedef Eigen::internal::image_retval_base<DecompositionType> Base; \
+  using Base::dec; \
+  using Base::originalMatrix; \
+  using Base::rank; \
+  using Base::rows; \
+  using Base::cols; \
+  image_retval(const DecompositionType& dec, const MatrixType& originalMatrix) \
+    : Base(dec, originalMatrix) {}
+
+} // end namespace Eigen
+
+#endif // EIGEN_MISC_IMAGE_H
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h	(revision 3761)
@@ -0,0 +1,414 @@
+// This file is part of Eigen, a lightweight C++ template library
+// for linear algebra.
+//
+// Copyright (C) 2010 Benoit Jacob <jacob.benoit.1@gmail.com>
+// Copyright (C) 2013-2014 Gael Guennebaud <gael.guennebaud@inria.fr>
+//
+// This Source Code Form is subject to the terms of the Mozilla
+// Public License v. 2.0. If a copy of the MPL was not distributed
+// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
+
+#ifndef EIGEN_BIDIAGONALIZATION_H
+#define EIGEN_BIDIAGONALIZATION_H
+
+namespace Eigen { 
+
+namespace internal {
+// UpperBidiagonalization will probably be replaced by a Bidiagonalization class, don't want to make it stable API.
+// At the same time, it's useful to keep for now as it's about the only thing that is testing the BandMatrix class.
+
+template<typename _MatrixType> class UpperBidiagonalization
+{
+  public:
+
+    typedef _MatrixType MatrixType;
+    enum {
+      RowsAtCompileTime = MatrixType::RowsAtCompileTime,
+      ColsAtCompileTime = MatrixType::ColsAtCompileTime,
+      ColsAtCompileTimeMinusOne = internal::decrement_size<ColsAtCompileTime>::ret
+    };
+    typedef typename MatrixType::Scalar Scalar;
+    typedef typename MatrixType::RealScalar RealScalar;
+    typedef Eigen::Index Index; ///< \deprecated since Eigen 3.3
+    typedef Matrix<Scalar, 1, ColsAtCompileTime> RowVectorType;
+    typedef Matrix<Scalar, RowsAtCompileTime, 1> ColVectorType;
+    typedef BandMatrix<RealScalar, ColsAtCompileTime, ColsAtCompileTime, 1, 0, RowMajor> BidiagonalType;
+    typedef Matrix<Scalar, ColsAtCompileTime, 1> DiagVectorType;
+    typedef Matrix<Scalar, ColsAtCompileTimeMinusOne, 1> SuperDiagVectorType;
+    typedef HouseholderSequence<
+              const MatrixType,
+              const typename internal::remove_all<typename Diagonal<const MatrixType,0>::ConjugateReturnType>::type
+            > HouseholderUSequenceType;
+    typedef HouseholderSequence<
+              const typename internal::remove_all<typename MatrixType::ConjugateReturnType>::type,
+              Diagonal<const MatrixType,1>,
+              OnTheRight
+            > HouseholderVSequenceType;
+    
+    /**
+    * \brief Default Constructor.
+    *
+    * The default constructor is useful in cases in which the user intends to
+    * perform decompositions via Bidiagonalization::compute(const MatrixType&).
+    */
+    UpperBidiagonalization() : m_householder(), m_bidiagonal(), m_isInitialized(false) {}
+
+    explicit UpperBidiagonalization(const MatrixType& matrix)
+      : m_householder(matrix.rows(), matrix.cols()),
+        m_bidiagonal(matrix.cols(), matrix.cols()),
+        m_isInitialized(false)
+    {
+      compute(matrix);
+    }
+    
+    UpperBidiagonalization& compute(const MatrixType& matrix);
+    UpperBidiagonalization& computeUnblocked(const MatrixType& matrix);
+    
+    const MatrixType& householder() const { return m_householder; }
+    const BidiagonalType& bidiagonal() const { return m_bidiagonal; }
+    
+    const HouseholderUSequenceType householderU() const
+    {
+      eigen_assert(m_isInitialized && "UpperBidiagonalization is not initialized.");
+      return HouseholderUSequenceType(m_householder, m_householder.diagonal().conjugate());
+    }
+
+    const HouseholderVSequenceType householderV() // const here gives nasty errors and i'm lazy
+    {
+      eigen_assert(m_isInitialized && "UpperBidiagonalization is not initialized.");
+      return HouseholderVSequenceType(m_householder.conjugate(), m_householder.const_derived().template diagonal<1>())
+             .setLength(m_householder.cols()-1)
+             .setShift(1);
+    }
+    
+  protected:
+    MatrixType m_householder;
+    BidiagonalType m_bidiagonal;
+    bool m_isInitialized;
+};
+
+// Standard upper bidiagonalization without fancy optimizations
+// This version should be faster for small matrix size
+template<typename MatrixType>
+void upperbidiagonalization_inplace_unblocked(MatrixType& mat,
+                                              typename MatrixType::RealScalar *diagonal,
+                                              typename MatrixType::RealScalar *upper_diagonal,
+                                              typename MatrixType::Scalar* tempData = 0)
+{
+  typedef typename MatrixType::Scalar Scalar;
+
+  Index rows = mat.rows();
+  Index cols = mat.cols();
+
+  typedef Matrix<Scalar,Dynamic,1,ColMajor,MatrixType::MaxRowsAtCompileTime,1> TempType;
+  TempType tempVector;
+  if(tempData==0)
+  {
+    tempVector.resize(rows);
+    tempData = tempVector.data();
+  }
+
+  for (Index k = 0; /* breaks at k==cols-1 below */ ; ++k)
+  {
+    Index remainingRows = rows - k;
+    Index remainingCols = cols - k - 1;
+
+    // construct left householder transform in-place in A
+    mat.col(k).tail(remainingRows)
+       .makeHouseholderInPlace(mat.coeffRef(k,k), diagonal[k]);
+    // apply householder transform to remaining part of A on the left
+    mat.bottomRightCorner(remainingRows, remainingCols)
+       .applyHouseholderOnTheLeft(mat.col(k).tail(remainingRows-1), mat.coeff(k,k), tempData);
+
+    if(k == cols-1) break;
+
+    // construct right householder transform in-place in mat
+    mat.row(k).tail(remainingCols)
+       .makeHouseholderInPlace(mat.coeffRef(k,k+1), upper_diagonal[k]);
+    // apply householder transform to remaining part of mat on the left
+    mat.bottomRightCorner(remainingRows-1, remainingCols)
+       .applyHouseholderOnTheRight(mat.row(k).tail(remainingCols-1).transpose(), mat.coeff(k,k+1), tempData);
+  }
+}
+
+/** \internal
+  * Helper routine for the block reduction to upper bidiagonal form.
+  *
+  * Let's partition the matrix A:
+  * 
+  *      | A00 A01 |
+  *  A = |         |
+  *      | A10 A11 |
+  *
+  * This function reduces to bidiagonal form the left \c rows x \a blockSize vertical panel [A00/A10]
+  * and the \a blockSize x \c cols horizontal panel [A00 A01] of the matrix \a A. The bottom-right block A11
+  * is updated using matrix-matrix products:
+  *   A22 -= V * Y^T - X * U^T
+  * where V and U contains the left and right Householder vectors. U and V are stored in A10, and A01
+  * respectively, and the update matrices X and Y are computed during the reduction.
+  * 
+  */
+template<typename MatrixType>
+void upperbidiagonalization_blocked_helper(MatrixType& A,
+                                           typename MatrixType::RealScalar *diagonal,
+                                           typename MatrixType::RealScalar *upper_diagonal,
+                                           Index bs,
+                                           Ref<Matrix<typename MatrixType::Scalar, Dynamic, Dynamic,
+                                                      traits<MatrixType>::Flags & RowMajorBit> > X,
+                                           Ref<Matrix<typename MatrixType::Scalar, Dynamic, Dynamic,
+                                                      traits<MatrixType>::Flags & RowMajorBit> > Y)
+{
+  typedef typename MatrixType::Scalar Scalar;
+  typedef typename MatrixType::RealScalar RealScalar;
+  typedef typename NumTraits<RealScalar>::Literal Literal;
+  enum { StorageOrder = traits<MatrixType>::Flags & RowMajorBit };
+  typedef InnerStride<int(StorageOrder) == int(ColMajor) ? 1 : Dynamic> ColInnerStride;
+  typedef InnerStride<int(StorageOrder) == int(ColMajor) ? Dynamic : 1> RowInnerStride;
+  typedef Ref<Matrix<Scalar, Dynamic, 1>, 0, ColInnerStride>    SubColumnType;
+  typedef Ref<Matrix<Scalar, 1, Dynamic>, 0, RowInnerStride>    SubRowType;
+  typedef Ref<Matrix<Scalar, Dynamic, Dynamic, StorageOrder > > SubMatType;
+  
+  Index brows = A.rows();
+  Index bcols = A.cols();
+
+  Scalar tau_u, tau_u_prev(0), tau_v;
+
+  for(Index k = 0; k < bs; ++k)
+  {
+    Index remainingRows = brows - k;
+    Index remainingCols = bcols - k - 1;
+
+    SubMatType X_k1( X.block(k,0, remainingRows,k) );
+    SubMatType V_k1( A.block(k,0, remainingRows,k) );
+
+    // 1 - update the k-th column of A
+    SubColumnType v_k = A.col(k).tail(remainingRows);
+          v_k -= V_k1 * Y.row(k).head(k).adjoint();
+    if(k) v_k -= X_k1 * A.col(k).head(k);
+    
+    // 2 - construct left Householder transform in-place
+    v_k.makeHouseholderInPlace(tau_v, diagonal[k]);
+       
+    if(k+1<bcols)
+    {
+      SubMatType Y_k  ( Y.block(k+1,0, remainingCols, k+1) );
+      SubMatType U_k1 ( A.block(0,k+1, k,remainingCols) );
+      
+      // this eases the application of Householder transforAions
+      // A(k,k) will store tau_v later
+      A(k,k) = Scalar(1);
+
+      // 3 - Compute y_k^T = tau_v * ( A^T*v_k - Y_k-1*V_k-1^T*v_k - U_k-1*X_k-1^T*v_k )
+      {
+        SubColumnType y_k( Y.col(k).tail(remainingCols) );
+        
+        // let's use the begining of column k of Y as a temporary vector
+        SubColumnType tmp( Y.col(k).head(k) );
+        y_k.noalias()  = A.block(k,k+1, remainingRows,remainingCols).adjoint() * v_k; // bottleneck
+        tmp.noalias()  = V_k1.adjoint()  * v_k;
+        y_k.noalias() -= Y_k.leftCols(k) * tmp;
+        tmp.noalias()  = X_k1.adjoint()  * v_k;
+        y_k.noalias() -= U_k1.adjoint()  * tmp;
+        y_k *= numext::conj(tau_v);
+      }
+
+      // 4 - update k-th row of A (it will become u_k)
+      SubRowType u_k( A.row(k).tail(remainingCols) );
+      u_k = u_k.conjugate();
+      {
+        u_k -= Y_k * A.row(k).head(k+1).adjoint();
+        if(k) u_k -= U_k1.adjoint() * X.row(k).head(k).adjoint();
+      }
+
+      // 5 - construct right Householder transform in-place
+      u_k.makeHouseholderInPlace(tau_u, upper_diagonal[k]);
+
+      // this eases the application of Householder transformations
+      // A(k,k+1) will store tau_u later
+      A(k,k+1) = Scalar(1);
+
+      // 6 - Compute x_k = tau_u * ( A*u_k - X_k-1*U_k-1^T*u_k - V_k*Y_k^T*u_k )
+      {
+        SubColumnType x_k ( X.col(k).tail(remainingRows-1) );
+        
+        // let's use the begining of column k of X as a temporary vectors
+        // note that tmp0 and tmp1 overlaps
+        SubColumnType tmp0 ( X.col(k).head(k) ),
+                      tmp1 ( X.col(k).head(k+1) );
+                    
+        x_k.noalias()   = A.block(k+1,k+1, remainingRows-1,remainingCols) * u_k.transpose(); // bottleneck
+        tmp0.noalias()  = U_k1 * u_k.transpose();
+        x_k.noalias()  -= X_k1.bottomRows(remainingRows-1) * tmp0;
+        tmp1.noalias()  = Y_k.adjoint() * u_k.transpose();
+        x_k.noalias()  -= A.block(k+1,0, remainingRows-1,k+1) * tmp1;
+        x_k *= numext::conj(tau_u);
+        tau_u = numext::conj(tau_u);
+        u_k = u_k.conjugate();
+      }
+
+      if(k>0) A.coeffRef(k-1,k) = tau_u_prev;
+      tau_u_prev = tau_u;
+    }
+    else
+      A.coeffRef(k-1,k) = tau_u_prev;
+
+    A.coeffRef(k,k) = tau_v;
+  }
+  
+  if(bs<bcols)
+    A.coeffRef(bs-1,bs) = tau_u_prev;
+
+  // update A22
+  if(bcols>bs && brows>bs)
+  {
+    SubMatType A11( A.bottomRightCorner(brows-bs,bcols-bs) );
+    SubMatType A10( A.block(bs,0, brows-bs,bs) );
+    SubMatType A01( A.block(0,bs, bs,bcols-bs) );
+    Scalar tmp = A01(bs-1,0);
+    A01(bs-1,0) = Literal(1);
+    A11.noalias() -= A10 * Y.topLeftCorner(bcols,bs).bottomRows(bcols-bs).adjoint();
+    A11.noalias() -= X.topLeftCorner(brows,bs).bottomRows(brows-bs) * A01;
+    A01(bs-1,0) = tmp;
+  }
+}
+
+/** \internal
+  *
+  * Implementation of a block-bidiagonal reduction.
+  * It is based on the following paper:
+  *   The Design of a Parallel Dense Linear Algebra Software Library: Reduction to Hessenberg, Tridiagonal, and Bidiagonal Form.
+  *   by Jaeyoung Choi, Jack J. Dongarra, David W. Walker. (1995)
+  *   section 3.3
+  */
+template<typename MatrixType, typename BidiagType>
+void upperbidiagonalization_inplace_blocked(MatrixType& A, BidiagType& bidiagonal,
+                                            Index maxBlockSize=32,
+                                            typename MatrixType::Scalar* /*tempData*/ = 0)
+{
+  typedef typename MatrixType::Scalar Scalar;
+  typedef Block<MatrixType,Dynamic,Dynamic> BlockType;
+
+  Index rows = A.rows();
+  Index cols = A.cols();
+  Index size = (std::min)(rows, cols);
+
+  // X and Y are work space
+  enum { StorageOrder = traits<MatrixType>::Flags & RowMajorBit };
+  Matrix<Scalar,
+         MatrixType::RowsAtCompileTime,
+         Dynamic,
+         StorageOrder,
+         MatrixType::MaxRowsAtCompileTime> X(rows,maxBlockSize);
+  Matrix<Scalar,
+         MatrixType::ColsAtCompileTime,
+         Dynamic,
+         StorageOrder,
+         MatrixType::MaxColsAtCompileTime> Y(cols,maxBlockSize);
+  Index blockSize = (std::min)(maxBlockSize,size);
+
+  Index k = 0;
+  for(k = 0; k < size; k += blockSize)
+  {
+    Index bs = (std::min)(size-k,blockSize);  // actual size of the block
+    Index brows = rows - k;                   // rows of the block
+    Index bcols = cols - k;                   // columns of the block
+
+    // partition the matrix A:
+    // 
+    //      | A00 A01 A02 |
+    //      |             |
+    // A  = | A10 A11 A12 |
+    //      |             |
+    //      | A20 A21 A22 |
+    //
+    // where A11 is a bs x bs diagonal block,
+    // and let:
+    //      | A11 A12 |
+    //  B = |         |
+    //      | A21 A22 |
+
+    BlockType B = A.block(k,k,brows,bcols);
+    
+    // This stage performs the bidiagonalization of A11, A21, A12, and updating of A22.
+    // Finally, the algorithm continue on the updated A22.
+    //
+    // However, if B is too small, or A22 empty, then let's use an unblocked strategy
+    if(k+bs==cols || bcols<48) // somewhat arbitrary threshold
+    {
+      upperbidiagonalization_inplace_unblocked(B,
+                                               &(bidiagonal.template diagonal<0>().coeffRef(k)),
+                                               &(bidiagonal.template diagonal<1>().coeffRef(k)),
+                                               X.data()
+                                              );
+      break; // We're done
+    }
+    else
+    {
+      upperbidiagonalization_blocked_helper<BlockType>( B,
+                                                        &(bidiagonal.template diagonal<0>().coeffRef(k)),
+                                                        &(bidiagonal.template diagonal<1>().coeffRef(k)),
+                                                        bs,
+                                                        X.topLeftCorner(brows,bs),
+                                                        Y.topLeftCorner(bcols,bs)
+                                                      );
+    }
+  }
+}
+
+template<typename _MatrixType>
+UpperBidiagonalization<_MatrixType>& UpperBidiagonalization<_MatrixType>::computeUnblocked(const _MatrixType& matrix)
+{
+  Index rows = matrix.rows();
+  Index cols = matrix.cols();
+  EIGEN_ONLY_USED_FOR_DEBUG(cols);
+
+  eigen_assert(rows >= cols && "UpperBidiagonalization is only for Arices satisfying rows>=cols.");
+
+  m_householder = matrix;
+
+  ColVectorType temp(rows);
+
+  upperbidiagonalization_inplace_unblocked(m_householder,
+                                           &(m_bidiagonal.template diagonal<0>().coeffRef(0)),
+                                           &(m_bidiagonal.template diagonal<1>().coeffRef(0)),
+                                           temp.data());
+
+  m_isInitialized = true;
+  return *this;
+}
+
+template<typename _MatrixType>
+UpperBidiagonalization<_MatrixType>& UpperBidiagonalization<_MatrixType>::compute(const _MatrixType& matrix)
+{
+  Index rows = matrix.rows();
+  Index cols = matrix.cols();
+  EIGEN_ONLY_USED_FOR_DEBUG(rows);
+  EIGEN_ONLY_USED_FOR_DEBUG(cols);
+
+  eigen_assert(rows >= cols && "UpperBidiagonalization is only for Arices satisfying rows>=cols.");
+
+  m_householder = matrix;
+  upperbidiagonalization_inplace_blocked(m_householder, m_bidiagonal);
+            
+  m_isInitialized = true;
+  return *this;
+}
+
+#if 0
+/** \return the Householder QR decomposition of \c *this.
+  *
+  * \sa class Bidiagonalization
+  */
+template<typename Derived>
+const UpperBidiagonalization<typename MatrixBase<Derived>::PlainObject>
+MatrixBase<Derived>::bidiagonalization() const
+{
+  return UpperBidiagonalization<PlainObject>(eval());
+}
+#endif
+
+} // end namespace internal
+
+} // end namespace Eigen
+
+#endif // EIGEN_BIDIAGONALIZATION_H
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h	(revision 3761)
@@ -0,0 +1,804 @@
+// This file is part of Eigen, a lightweight C++ template library
+// for linear algebra.
+//
+// Copyright (C) 2009-2010 Benoit Jacob <jacob.benoit.1@gmail.com>
+// Copyright (C) 2013-2014 Gael Guennebaud <gael.guennebaud@inria.fr>
+//
+// This Source Code Form is subject to the terms of the Mozilla
+// Public License v. 2.0. If a copy of the MPL was not distributed
+// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
+
+#ifndef EIGEN_JACOBISVD_H
+#define EIGEN_JACOBISVD_H
+
+namespace Eigen { 
+
+namespace internal {
+// forward declaration (needed by ICC)
+// the empty body is required by MSVC
+template<typename MatrixType, int QRPreconditioner,
+         bool IsComplex = NumTraits<typename MatrixType::Scalar>::IsComplex>
+struct svd_precondition_2x2_block_to_be_real {};
+
+/*** QR preconditioners (R-SVD)
+ ***
+ *** Their role is to reduce the problem of computing the SVD to the case of a square matrix.
+ *** This approach, known as R-SVD, is an optimization for rectangular-enough matrices, and is a requirement for
+ *** JacobiSVD which by itself is only able to work on square matrices.
+ ***/
+
+enum { PreconditionIfMoreColsThanRows, PreconditionIfMoreRowsThanCols };
+
+template<typename MatrixType, int QRPreconditioner, int Case>
+struct qr_preconditioner_should_do_anything
+{
+  enum { a = MatrixType::RowsAtCompileTime != Dynamic &&
+             MatrixType::ColsAtCompileTime != Dynamic &&
+             MatrixType::ColsAtCompileTime <= MatrixType::RowsAtCompileTime,
+         b = MatrixType::RowsAtCompileTime != Dynamic &&
+             MatrixType::ColsAtCompileTime != Dynamic &&
+             MatrixType::RowsAtCompileTime <= MatrixType::ColsAtCompileTime,
+         ret = !( (QRPreconditioner == NoQRPreconditioner) ||
+                  (Case == PreconditionIfMoreColsThanRows && bool(a)) ||
+                  (Case == PreconditionIfMoreRowsThanCols && bool(b)) )
+  };
+};
+
+template<typename MatrixType, int QRPreconditioner, int Case,
+         bool DoAnything = qr_preconditioner_should_do_anything<MatrixType, QRPreconditioner, Case>::ret
+> struct qr_preconditioner_impl {};
+
+template<typename MatrixType, int QRPreconditioner, int Case>
+class qr_preconditioner_impl<MatrixType, QRPreconditioner, Case, false>
+{
+public:
+  void allocate(const JacobiSVD<MatrixType, QRPreconditioner>&) {}
+  bool run(JacobiSVD<MatrixType, QRPreconditioner>&, const MatrixType&)
+  {
+    return false;
+  }
+};
+
+/*** preconditioner using FullPivHouseholderQR ***/
+
+template<typename MatrixType>
+class qr_preconditioner_impl<MatrixType, FullPivHouseholderQRPreconditioner, PreconditionIfMoreRowsThanCols, true>
+{
+public:
+  typedef typename MatrixType::Scalar Scalar;
+  enum
+  {
+    RowsAtCompileTime = MatrixType::RowsAtCompileTime,
+    MaxRowsAtCompileTime = MatrixType::MaxRowsAtCompileTime
+  };
+  typedef Matrix<Scalar, 1, RowsAtCompileTime, RowMajor, 1, MaxRowsAtCompileTime> WorkspaceType;
+
+  void allocate(const JacobiSVD<MatrixType, FullPivHouseholderQRPreconditioner>& svd)
+  {
+    if (svd.rows() != m_qr.rows() || svd.cols() != m_qr.cols())
+    {
+      m_qr.~QRType();
+      ::new (&m_qr) QRType(svd.rows(), svd.cols());
+    }
+    if (svd.m_computeFullU) m_workspace.resize(svd.rows());
+  }
+
+  bool run(JacobiSVD<MatrixType, FullPivHouseholderQRPreconditioner>& svd, const MatrixType& matrix)
+  {
+    if(matrix.rows() > matrix.cols())
+    {
+      m_qr.compute(matrix);
+      svd.m_workMatrix = m_qr.matrixQR().block(0,0,matrix.cols(),matrix.cols()).template triangularView<Upper>();
+      if(svd.m_computeFullU) m_qr.matrixQ().evalTo(svd.m_matrixU, m_workspace);
+      if(svd.computeV()) svd.m_matrixV = m_qr.colsPermutation();
+      return true;
+    }
+    return false;
+  }
+private:
+  typedef FullPivHouseholderQR<MatrixType> QRType;
+  QRType m_qr;
+  WorkspaceType m_workspace;
+};
+
+template<typename MatrixType>
+class qr_preconditioner_impl<MatrixType, FullPivHouseholderQRPreconditioner, PreconditionIfMoreColsThanRows, true>
+{
+public:
+  typedef typename MatrixType::Scalar Scalar;
+  enum
+  {
+    RowsAtCompileTime = MatrixType::RowsAtCompileTime,
+    ColsAtCompileTime = MatrixType::ColsAtCompileTime,
+    MaxRowsAtCompileTime = MatrixType::MaxRowsAtCompileTime,
+    MaxColsAtCompileTime = MatrixType::MaxColsAtCompileTime,
+    TrOptions = RowsAtCompileTime==1 ? (MatrixType::Options & ~(RowMajor))
+              : ColsAtCompileTime==1 ? (MatrixType::Options |   RowMajor)
+              : MatrixType::Options
+  };
+  typedef Matrix<Scalar, ColsAtCompileTime, RowsAtCompileTime, TrOptions, MaxColsAtCompileTime, MaxRowsAtCompileTime>
+          TransposeTypeWithSameStorageOrder;
+
+  void allocate(const JacobiSVD<MatrixType, FullPivHouseholderQRPreconditioner>& svd)
+  {
+    if (svd.cols() != m_qr.rows() || svd.rows() != m_qr.cols())
+    {
+      m_qr.~QRType();
+      ::new (&m_qr) QRType(svd.cols(), svd.rows());
+    }
+    m_adjoint.resize(svd.cols(), svd.rows());
+    if (svd.m_computeFullV) m_workspace.resize(svd.cols());
+  }
+
+  bool run(JacobiSVD<MatrixType, FullPivHouseholderQRPreconditioner>& svd, const MatrixType& matrix)
+  {
+    if(matrix.cols() > matrix.rows())
+    {
+      m_adjoint = matrix.adjoint();
+      m_qr.compute(m_adjoint);
+      svd.m_workMatrix = m_qr.matrixQR().block(0,0,matrix.rows(),matrix.rows()).template triangularView<Upper>().adjoint();
+      if(svd.m_computeFullV) m_qr.matrixQ().evalTo(svd.m_matrixV, m_workspace);
+      if(svd.computeU()) svd.m_matrixU = m_qr.colsPermutation();
+      return true;
+    }
+    else return false;
+  }
+private:
+  typedef FullPivHouseholderQR<TransposeTypeWithSameStorageOrder> QRType;
+  QRType m_qr;
+  TransposeTypeWithSameStorageOrder m_adjoint;
+  typename internal::plain_row_type<MatrixType>::type m_workspace;
+};
+
+/*** preconditioner using ColPivHouseholderQR ***/
+
+template<typename MatrixType>
+class qr_preconditioner_impl<MatrixType, ColPivHouseholderQRPreconditioner, PreconditionIfMoreRowsThanCols, true>
+{
+public:
+  void allocate(const JacobiSVD<MatrixType, ColPivHouseholderQRPreconditioner>& svd)
+  {
+    if (svd.rows() != m_qr.rows() || svd.cols() != m_qr.cols())
+    {
+      m_qr.~QRType();
+      ::new (&m_qr) QRType(svd.rows(), svd.cols());
+    }
+    if (svd.m_computeFullU) m_workspace.resize(svd.rows());
+    else if (svd.m_computeThinU) m_workspace.resize(svd.cols());
+  }
+
+  bool run(JacobiSVD<MatrixType, ColPivHouseholderQRPreconditioner>& svd, const MatrixType& matrix)
+  {
+    if(matrix.rows() > matrix.cols())
+    {
+      m_qr.compute(matrix);
+      svd.m_workMatrix = m_qr.matrixQR().block(0,0,matrix.cols(),matrix.cols()).template triangularView<Upper>();
+      if(svd.m_computeFullU) m_qr.householderQ().evalTo(svd.m_matrixU, m_workspace);
+      else if(svd.m_computeThinU)
+      {
+        svd.m_matrixU.setIdentity(matrix.rows(), matrix.cols());
+        m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixU, m_workspace);
+      }
+      if(svd.computeV()) svd.m_matrixV = m_qr.colsPermutation();
+      return true;
+    }
+    return false;
+  }
+
+private:
+  typedef ColPivHouseholderQR<MatrixType> QRType;
+  QRType m_qr;
+  typename internal::plain_col_type<MatrixType>::type m_workspace;
+};
+
+template<typename MatrixType>
+class qr_preconditioner_impl<MatrixType, ColPivHouseholderQRPreconditioner, PreconditionIfMoreColsThanRows, true>
+{
+public:
+  typedef typename MatrixType::Scalar Scalar;
+  enum
+  {
+    RowsAtCompileTime = MatrixType::RowsAtCompileTime,
+    ColsAtCompileTime = MatrixType::ColsAtCompileTime,
+    MaxRowsAtCompileTime = MatrixType::MaxRowsAtCompileTime,
+    MaxColsAtCompileTime = MatrixType::MaxColsAtCompileTime,
+    TrOptions = RowsAtCompileTime==1 ? (MatrixType::Options & ~(RowMajor))
+              : ColsAtCompileTime==1 ? (MatrixType::Options |   RowMajor)
+              : MatrixType::Options
+  };
+
+  typedef Matrix<Scalar, ColsAtCompileTime, RowsAtCompileTime, TrOptions, MaxColsAtCompileTime, MaxRowsAtCompileTime>
+          TransposeTypeWithSameStorageOrder;
+
+  void allocate(const JacobiSVD<MatrixType, ColPivHouseholderQRPreconditioner>& svd)
+  {
+    if (svd.cols() != m_qr.rows() || svd.rows() != m_qr.cols())
+    {
+      m_qr.~QRType();
+      ::new (&m_qr) QRType(svd.cols(), svd.rows());
+    }
+    if (svd.m_computeFullV) m_workspace.resize(svd.cols());
+    else if (svd.m_computeThinV) m_workspace.resize(svd.rows());
+    m_adjoint.resize(svd.cols(), svd.rows());
+  }
+
+  bool run(JacobiSVD<MatrixType, ColPivHouseholderQRPreconditioner>& svd, const MatrixType& matrix)
+  {
+    if(matrix.cols() > matrix.rows())
+    {
+      m_adjoint = matrix.adjoint();
+      m_qr.compute(m_adjoint);
+
+      svd.m_workMatrix = m_qr.matrixQR().block(0,0,matrix.rows(),matrix.rows()).template triangularView<Upper>().adjoint();
+      if(svd.m_computeFullV) m_qr.householderQ().evalTo(svd.m_matrixV, m_workspace);
+      else if(svd.m_computeThinV)
+      {
+        svd.m_matrixV.setIdentity(matrix.cols(), matrix.rows());
+        m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace);
+      }
+      if(svd.computeU()) svd.m_matrixU = m_qr.colsPermutation();
+      return true;
+    }
+    else return false;
+  }
+
+private:
+  typedef ColPivHouseholderQR<TransposeTypeWithSameStorageOrder> QRType;
+  QRType m_qr;
+  TransposeTypeWithSameStorageOrder m_adjoint;
+  typename internal::plain_row_type<MatrixType>::type m_workspace;
+};
+
+/*** preconditioner using HouseholderQR ***/
+
+template<typename MatrixType>
+class qr_preconditioner_impl<MatrixType, HouseholderQRPreconditioner, PreconditionIfMoreRowsThanCols, true>
+{
+public:
+  void allocate(const JacobiSVD<MatrixType, HouseholderQRPreconditioner>& svd)
+  {
+    if (svd.rows() != m_qr.rows() || svd.cols() != m_qr.cols())
+    {
+      m_qr.~QRType();
+      ::new (&m_qr) QRType(svd.rows(), svd.cols());
+    }
+    if (svd.m_computeFullU) m_workspace.resize(svd.rows());
+    else if (svd.m_computeThinU) m_workspace.resize(svd.cols());
+  }
+
+  bool run(JacobiSVD<MatrixType, HouseholderQRPreconditioner>& svd, const MatrixType& matrix)
+  {
+    if(matrix.rows() > matrix.cols())
+    {
+      m_qr.compute(matrix);
+      svd.m_workMatrix = m_qr.matrixQR().block(0,0,matrix.cols(),matrix.cols()).template triangularView<Upper>();
+      if(svd.m_computeFullU) m_qr.householderQ().evalTo(svd.m_matrixU, m_workspace);
+      else if(svd.m_computeThinU)
+      {
+        svd.m_matrixU.setIdentity(matrix.rows(), matrix.cols());
+        m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixU, m_workspace);
+      }
+      if(svd.computeV()) svd.m_matrixV.setIdentity(matrix.cols(), matrix.cols());
+      return true;
+    }
+    return false;
+  }
+private:
+  typedef HouseholderQR<MatrixType> QRType;
+  QRType m_qr;
+  typename internal::plain_col_type<MatrixType>::type m_workspace;
+};
+
+template<typename MatrixType>
+class qr_preconditioner_impl<MatrixType, HouseholderQRPreconditioner, PreconditionIfMoreColsThanRows, true>
+{
+public:
+  typedef typename MatrixType::Scalar Scalar;
+  enum
+  {
+    RowsAtCompileTime = MatrixType::RowsAtCompileTime,
+    ColsAtCompileTime = MatrixType::ColsAtCompileTime,
+    MaxRowsAtCompileTime = MatrixType::MaxRowsAtCompileTime,
+    MaxColsAtCompileTime = MatrixType::MaxColsAtCompileTime,
+    Options = MatrixType::Options
+  };
+
+  typedef Matrix<Scalar, ColsAtCompileTime, RowsAtCompileTime, Options, MaxColsAtCompileTime, MaxRowsAtCompileTime>
+          TransposeTypeWithSameStorageOrder;
+
+  void allocate(const JacobiSVD<MatrixType, HouseholderQRPreconditioner>& svd)
+  {
+    if (svd.cols() != m_qr.rows() || svd.rows() != m_qr.cols())
+    {
+      m_qr.~QRType();
+      ::new (&m_qr) QRType(svd.cols(), svd.rows());
+    }
+    if (svd.m_computeFullV) m_workspace.resize(svd.cols());
+    else if (svd.m_computeThinV) m_workspace.resize(svd.rows());
+    m_adjoint.resize(svd.cols(), svd.rows());
+  }
+
+  bool run(JacobiSVD<MatrixType, HouseholderQRPreconditioner>& svd, const MatrixType& matrix)
+  {
+    if(matrix.cols() > matrix.rows())
+    {
+      m_adjoint = matrix.adjoint();
+      m_qr.compute(m_adjoint);
+
+      svd.m_workMatrix = m_qr.matrixQR().block(0,0,matrix.rows(),matrix.rows()).template triangularView<Upper>().adjoint();
+      if(svd.m_computeFullV) m_qr.householderQ().evalTo(svd.m_matrixV, m_workspace);
+      else if(svd.m_computeThinV)
+      {
+        svd.m_matrixV.setIdentity(matrix.cols(), matrix.rows());
+        m_qr.householderQ().applyThisOnTheLeft(svd.m_matrixV, m_workspace);
+      }
+      if(svd.computeU()) svd.m_matrixU.setIdentity(matrix.rows(), matrix.rows());
+      return true;
+    }
+    else return false;
+  }
+
+private:
+  typedef HouseholderQR<TransposeTypeWithSameStorageOrder> QRType;
+  QRType m_qr;
+  TransposeTypeWithSameStorageOrder m_adjoint;
+  typename internal::plain_row_type<MatrixType>::type m_workspace;
+};
+
+/*** 2x2 SVD implementation
+ ***
+ *** JacobiSVD consists in performing a series of 2x2 SVD subproblems
+ ***/
+
+template<typename MatrixType, int QRPreconditioner>
+struct svd_precondition_2x2_block_to_be_real<MatrixType, QRPreconditioner, false>
+{
+  typedef JacobiSVD<MatrixType, QRPreconditioner> SVD;
+  typedef typename MatrixType::RealScalar RealScalar;
+  static bool run(typename SVD::WorkMatrixType&, SVD&, Index, Index, RealScalar&) { return true; }
+};
+
+template<typename MatrixType, int QRPreconditioner>
+struct svd_precondition_2x2_block_to_be_real<MatrixType, QRPreconditioner, true>
+{
+  typedef JacobiSVD<MatrixType, QRPreconditioner> SVD;
+  typedef typename MatrixType::Scalar Scalar;
+  typedef typename MatrixType::RealScalar RealScalar;
+  static bool run(typename SVD::WorkMatrixType& work_matrix, SVD& svd, Index p, Index q, RealScalar& maxDiagEntry)
+  {
+    using std::sqrt;
+    using std::abs;
+    Scalar z;
+    JacobiRotation<Scalar> rot;
+    RealScalar n = sqrt(numext::abs2(work_matrix.coeff(p,p)) + numext::abs2(work_matrix.coeff(q,p)));
+
+    const RealScalar considerAsZero = (std::numeric_limits<RealScalar>::min)();
+    const RealScalar precision = NumTraits<Scalar>::epsilon();
+
+    if(n==0)
+    {
+      // make sure first column is zero
+      work_matrix.coeffRef(p,p) = work_matrix.coeffRef(q,p) = Scalar(0);
+
+      if(abs(numext::imag(work_matrix.coeff(p,q)))>considerAsZero)
+      {
+        // work_matrix.coeff(p,q) can be zero if work_matrix.coeff(q,p) is not zero but small enough to underflow when computing n
+        z = abs(work_matrix.coeff(p,q)) / work_matrix.coeff(p,q);
+        work_matrix.row(p) *= z;
+        if(svd.computeU()) svd.m_matrixU.col(p) *= conj(z);
+      }
+      if(abs(numext::imag(work_matrix.coeff(q,q)))>considerAsZero)
+      {
+        z = abs(work_matrix.coeff(q,q)) / work_matrix.coeff(q,q);
+        work_matrix.row(q) *= z;
+        if(svd.computeU()) svd.m_matrixU.col(q) *= conj(z);
+      }
+      // otherwise the second row is already zero, so we have nothing to do.
+    }
+    else
+    {
+      rot.c() = conj(work_matrix.coeff(p,p)) / n;
+      rot.s() = work_matrix.coeff(q,p) / n;
+      work_matrix.applyOnTheLeft(p,q,rot);
+      if(svd.computeU()) svd.m_matrixU.applyOnTheRight(p,q,rot.adjoint());
+      if(abs(numext::imag(work_matrix.coeff(p,q)))>considerAsZero)
+      {
+        z = abs(work_matrix.coeff(p,q)) / work_matrix.coeff(p,q);
+        work_matrix.col(q) *= z;
+        if(svd.computeV()) svd.m_matrixV.col(q) *= z;
+      }
+      if(abs(numext::imag(work_matrix.coeff(q,q)))>considerAsZero)
+      {
+        z = abs(work_matrix.coeff(q,q)) / work_matrix.coeff(q,q);
+        work_matrix.row(q) *= z;
+        if(svd.computeU()) svd.m_matrixU.col(q) *= conj(z);
+      }
+    }
+
+    // update largest diagonal entry
+    maxDiagEntry = numext::maxi<RealScalar>(maxDiagEntry,numext::maxi<RealScalar>(abs(work_matrix.coeff(p,p)), abs(work_matrix.coeff(q,q))));
+    // and check whether the 2x2 block is already diagonal
+    RealScalar threshold = numext::maxi<RealScalar>(considerAsZero, precision * maxDiagEntry);
+    return abs(work_matrix.coeff(p,q))>threshold || abs(work_matrix.coeff(q,p)) > threshold;
+  }
+};
+
+template<typename _MatrixType, int QRPreconditioner> 
+struct traits<JacobiSVD<_MatrixType,QRPreconditioner> >
+{
+  typedef _MatrixType MatrixType;
+};
+
+} // end namespace internal
+
+/** \ingroup SVD_Module
+  *
+  *
+  * \class JacobiSVD
+  *
+  * \brief Two-sided Jacobi SVD decomposition of a rectangular matrix
+  *
+  * \tparam _MatrixType the type of the matrix of which we are computing the SVD decomposition
+  * \tparam QRPreconditioner this optional parameter allows to specify the type of QR decomposition that will be used internally
+  *                        for the R-SVD step for non-square matrices. See discussion of possible values below.
+  *
+  * SVD decomposition consists in decomposing any n-by-p matrix \a A as a product
+  *   \f[ A = U S V^* \f]
+  * where \a U is a n-by-n unitary, \a V is a p-by-p unitary, and \a S is a n-by-p real positive matrix which is zero outside of its main diagonal;
+  * the diagonal entries of S are known as the \em singular \em values of \a A and the columns of \a U and \a V are known as the left
+  * and right \em singular \em vectors of \a A respectively.
+  *
+  * Singular values are always sorted in decreasing order.
+  *
+  * This JacobiSVD decomposition computes only the singular values by default. If you want \a U or \a V, you need to ask for them explicitly.
+  *
+  * You can ask for only \em thin \a U or \a V to be computed, meaning the following. In case of a rectangular n-by-p matrix, letting \a m be the
+  * smaller value among \a n and \a p, there are only \a m singular vectors; the remaining columns of \a U and \a V do not correspond to actual
+  * singular vectors. Asking for \em thin \a U or \a V means asking for only their \a m first columns to be formed. So \a U is then a n-by-m matrix,
+  * and \a V is then a p-by-m matrix. Notice that thin \a U and \a V are all you need for (least squares) solving.
+  *
+  * Here's an example demonstrating basic usage:
+  * \include JacobiSVD_basic.cpp
+  * Output: \verbinclude JacobiSVD_basic.out
+  *
+  * This JacobiSVD class is a two-sided Jacobi R-SVD decomposition, ensuring optimal reliability and accuracy. The downside is that it's slower than
+  * bidiagonalizing SVD algorithms for large square matrices; however its complexity is still \f$ O(n^2p) \f$ where \a n is the smaller dimension and
+  * \a p is the greater dimension, meaning that it is still of the same order of complexity as the faster bidiagonalizing R-SVD algorithms.
+  * In particular, like any R-SVD, it takes advantage of non-squareness in that its complexity is only linear in the greater dimension.
+  *
+  * If the input matrix has inf or nan coefficients, the result of the computation is undefined, but the computation is guaranteed to
+  * terminate in finite (and reasonable) time.
+  *
+  * The possible values for QRPreconditioner are:
+  * \li ColPivHouseholderQRPreconditioner is the default. In practice it's very safe. It uses column-pivoting QR.
+  * \li FullPivHouseholderQRPreconditioner, is the safest and slowest. It uses full-pivoting QR.
+  *     Contrary to other QRs, it doesn't allow computing thin unitaries.
+  * \li HouseholderQRPreconditioner is the fastest, and less safe and accurate than the pivoting variants. It uses non-pivoting QR.
+  *     This is very similar in safety and accuracy to the bidiagonalization process used by bidiagonalizing SVD algorithms (since bidiagonalization
+  *     is inherently non-pivoting). However the resulting SVD is still more reliable than bidiagonalizing SVDs because the Jacobi-based iterarive
+  *     process is more reliable than the optimized bidiagonal SVD iterations.
+  * \li NoQRPreconditioner allows not to use a QR preconditioner at all. This is useful if you know that you will only be computing
+  *     JacobiSVD decompositions of square matrices. Non-square matrices require a QR preconditioner. Using this option will result in
+  *     faster compilation and smaller executable code. It won't significantly speed up computation, since JacobiSVD is always checking
+  *     if QR preconditioning is needed before applying it anyway.
+  *
+  * \sa MatrixBase::jacobiSvd()
+  */
+template<typename _MatrixType, int QRPreconditioner> class JacobiSVD
+ : public SVDBase<JacobiSVD<_MatrixType,QRPreconditioner> >
+{
+    typedef SVDBase<JacobiSVD> Base;
+  public:
+
+    typedef _MatrixType MatrixType;
+    typedef typename MatrixType::Scalar Scalar;
+    typedef typename NumTraits<typename MatrixType::Scalar>::Real RealScalar;
+    enum {
+      RowsAtCompileTime = MatrixType::RowsAtCompileTime,
+      ColsAtCompileTime = MatrixType::ColsAtCompileTime,
+      DiagSizeAtCompileTime = EIGEN_SIZE_MIN_PREFER_DYNAMIC(RowsAtCompileTime,ColsAtCompileTime),
+      MaxRowsAtCompileTime = MatrixType::MaxRowsAtCompileTime,
+      MaxColsAtCompileTime = MatrixType::MaxColsAtCompileTime,
+      MaxDiagSizeAtCompileTime = EIGEN_SIZE_MIN_PREFER_FIXED(MaxRowsAtCompileTime,MaxColsAtCompileTime),
+      MatrixOptions = MatrixType::Options
+    };
+
+    typedef typename Base::MatrixUType MatrixUType;
+    typedef typename Base::MatrixVType MatrixVType;
+    typedef typename Base::SingularValuesType SingularValuesType;
+    
+    typedef typename internal::plain_row_type<MatrixType>::type RowType;
+    typedef typename internal::plain_col_type<MatrixType>::type ColType;
+    typedef Matrix<Scalar, DiagSizeAtCompileTime, DiagSizeAtCompileTime,
+                   MatrixOptions, MaxDiagSizeAtCompileTime, MaxDiagSizeAtCompileTime>
+            WorkMatrixType;
+
+    /** \brief Default Constructor.
+      *
+      * The default constructor is useful in cases in which the user intends to
+      * perform decompositions via JacobiSVD::compute(const MatrixType&).
+      */
+    JacobiSVD()
+    {}
+
+
+    /** \brief Default Constructor with memory preallocation
+      *
+      * Like the default constructor but with preallocation of the internal data
+      * according to the specified problem size.
+      * \sa JacobiSVD()
+      */
+    JacobiSVD(Index rows, Index cols, unsigned int computationOptions = 0)
+    {
+      allocate(rows, cols, computationOptions);
+    }
+
+    /** \brief Constructor performing the decomposition of given matrix.
+     *
+     * \param matrix the matrix to decompose
+     * \param computationOptions optional parameter allowing to specify if you want full or thin U or V unitaries to be computed.
+     *                           By default, none is computed. This is a bit-field, the possible bits are #ComputeFullU, #ComputeThinU,
+     *                           #ComputeFullV, #ComputeThinV.
+     *
+     * Thin unitaries are only available if your matrix type has a Dynamic number of columns (for example MatrixXf). They also are not
+     * available with the (non-default) FullPivHouseholderQR preconditioner.
+     */
+    explicit JacobiSVD(const MatrixType& matrix, unsigned int computationOptions = 0)
+    {
+      compute(matrix, computationOptions);
+    }
+
+    /** \brief Method performing the decomposition of given matrix using custom options.
+     *
+     * \param matrix the matrix to decompose
+     * \param computationOptions optional parameter allowing to specify if you want full or thin U or V unitaries to be computed.
+     *                           By default, none is computed. This is a bit-field, the possible bits are #ComputeFullU, #ComputeThinU,
+     *                           #ComputeFullV, #ComputeThinV.
+     *
+     * Thin unitaries are only available if your matrix type has a Dynamic number of columns (for example MatrixXf). They also are not
+     * available with the (non-default) FullPivHouseholderQR preconditioner.
+     */
+    JacobiSVD& compute(const MatrixType& matrix, unsigned int computationOptions);
+
+    /** \brief Method performing the decomposition of given matrix using current options.
+     *
+     * \param matrix the matrix to decompose
+     *
+     * This method uses the current \a computationOptions, as already passed to the constructor or to compute(const MatrixType&, unsigned int).
+     */
+    JacobiSVD& compute(const MatrixType& matrix)
+    {
+      return compute(matrix, m_computationOptions);
+    }
+
+    using Base::computeU;
+    using Base::computeV;
+    using Base::rows;
+    using Base::cols;
+    using Base::rank;
+
+  private:
+    void allocate(Index rows, Index cols, unsigned int computationOptions);
+
+  protected:
+    using Base::m_matrixU;
+    using Base::m_matrixV;
+    using Base::m_singularValues;
+    using Base::m_isInitialized;
+    using Base::m_isAllocated;
+    using Base::m_usePrescribedThreshold;
+    using Base::m_computeFullU;
+    using Base::m_computeThinU;
+    using Base::m_computeFullV;
+    using Base::m_computeThinV;
+    using Base::m_computationOptions;
+    using Base::m_nonzeroSingularValues;
+    using Base::m_rows;
+    using Base::m_cols;
+    using Base::m_diagSize;
+    using Base::m_prescribedThreshold;
+    WorkMatrixType m_workMatrix;
+
+    template<typename __MatrixType, int _QRPreconditioner, bool _IsComplex>
+    friend struct internal::svd_precondition_2x2_block_to_be_real;
+    template<typename __MatrixType, int _QRPreconditioner, int _Case, bool _DoAnything>
+    friend struct internal::qr_preconditioner_impl;
+
+    internal::qr_preconditioner_impl<MatrixType, QRPreconditioner, internal::PreconditionIfMoreColsThanRows> m_qr_precond_morecols;
+    internal::qr_preconditioner_impl<MatrixType, QRPreconditioner, internal::PreconditionIfMoreRowsThanCols> m_qr_precond_morerows;
+    MatrixType m_scaledMatrix;
+};
+
+template<typename MatrixType, int QRPreconditioner>
+void JacobiSVD<MatrixType, QRPreconditioner>::allocate(Index rows, Index cols, unsigned int computationOptions)
+{
+  eigen_assert(rows >= 0 && cols >= 0);
+
+  if (m_isAllocated &&
+      rows == m_rows &&
+      cols == m_cols &&
+      computationOptions == m_computationOptions)
+  {
+    return;
+  }
+
+  m_rows = rows;
+  m_cols = cols;
+  m_isInitialized = false;
+  m_isAllocated = true;
+  m_computationOptions = computationOptions;
+  m_computeFullU = (computationOptions & ComputeFullU) != 0;
+  m_computeThinU = (computationOptions & ComputeThinU) != 0;
+  m_computeFullV = (computationOptions & ComputeFullV) != 0;
+  m_computeThinV = (computationOptions & ComputeThinV) != 0;
+  eigen_assert(!(m_computeFullU && m_computeThinU) && "JacobiSVD: you can't ask for both full and thin U");
+  eigen_assert(!(m_computeFullV && m_computeThinV) && "JacobiSVD: you can't ask for both full and thin V");
+  eigen_assert(EIGEN_IMPLIES(m_computeThinU || m_computeThinV, MatrixType::ColsAtCompileTime==Dynamic) &&
+              "JacobiSVD: thin U and V are only available when your matrix has a dynamic number of columns.");
+  if (QRPreconditioner == FullPivHouseholderQRPreconditioner)
+  {
+      eigen_assert(!(m_computeThinU || m_computeThinV) &&
+              "JacobiSVD: can't compute thin U or thin V with the FullPivHouseholderQR preconditioner. "
+              "Use the ColPivHouseholderQR preconditioner instead.");
+  }
+  m_diagSize = (std::min)(m_rows, m_cols);
+  m_singularValues.resize(m_diagSize);
+  if(RowsAtCompileTime==Dynamic)
+    m_matrixU.resize(m_rows, m_computeFullU ? m_rows
+                            : m_computeThinU ? m_diagSize
+                            : 0);
+  if(ColsAtCompileTime==Dynamic)
+    m_matrixV.resize(m_cols, m_computeFullV ? m_cols
+                            : m_computeThinV ? m_diagSize
+                            : 0);
+  m_workMatrix.resize(m_diagSize, m_diagSize);
+  
+  if(m_cols>m_rows)   m_qr_precond_morecols.allocate(*this);
+  if(m_rows>m_cols)   m_qr_precond_morerows.allocate(*this);
+  if(m_rows!=m_cols)  m_scaledMatrix.resize(rows,cols);
+}
+
+template<typename MatrixType, int QRPreconditioner>
+JacobiSVD<MatrixType, QRPreconditioner>&
+JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType& matrix, unsigned int computationOptions)
+{
+  using std::abs;
+  allocate(matrix.rows(), matrix.cols(), computationOptions);
+
+  // currently we stop when we reach precision 2*epsilon as the last bit of precision can require an unreasonable number of iterations,
+  // only worsening the precision of U and V as we accumulate more rotations
+  const RealScalar precision = RealScalar(2) * NumTraits<Scalar>::epsilon();
+
+  // limit for denormal numbers to be considered zero in order to avoid infinite loops (see bug 286)
+  const RealScalar considerAsZero = (std::numeric_limits<RealScalar>::min)();
+
+  // Scaling factor to reduce over/under-flows
+  RealScalar scale = matrix.cwiseAbs().maxCoeff();
+  if(scale==RealScalar(0)) scale = RealScalar(1);
+  
+  /*** step 1. The R-SVD step: we use a QR decomposition to reduce to the case of a square matrix */
+
+  if(m_rows!=m_cols)
+  {
+    m_scaledMatrix = matrix / scale;
+    m_qr_precond_morecols.run(*this, m_scaledMatrix);
+    m_qr_precond_morerows.run(*this, m_scaledMatrix);
+  }
+  else
+  {
+    m_workMatrix = matrix.block(0,0,m_diagSize,m_diagSize) / scale;
+    if(m_computeFullU) m_matrixU.setIdentity(m_rows,m_rows);
+    if(m_computeThinU) m_matrixU.setIdentity(m_rows,m_diagSize);
+    if(m_computeFullV) m_matrixV.setIdentity(m_cols,m_cols);
+    if(m_computeThinV) m_matrixV.setIdentity(m_cols, m_diagSize);
+  }
+
+  /*** step 2. The main Jacobi SVD iteration. ***/
+  RealScalar maxDiagEntry = m_workMatrix.cwiseAbs().diagonal().maxCoeff();
+
+  bool finished = false;
+  while(!finished)
+  {
+    finished = true;
+
+    // do a sweep: for all index pairs (p,q), perform SVD of the corresponding 2x2 sub-matrix
+
+    for(Index p = 1; p < m_diagSize; ++p)
+    {
+      for(Index q = 0; q < p; ++q)
+      {
+        // if this 2x2 sub-matrix is not diagonal already...
+        // notice that this comparison will evaluate to false if any NaN is involved, ensuring that NaN's don't
+        // keep us iterating forever. Similarly, small denormal numbers are considered zero.
+        RealScalar threshold = numext::maxi<RealScalar>(considerAsZero, precision * maxDiagEntry);
+        if(abs(m_workMatrix.coeff(p,q))>threshold || abs(m_workMatrix.coeff(q,p)) > threshold)
+        {
+          finished = false;
+          // perform SVD decomposition of 2x2 sub-matrix corresponding to indices p,q to make it diagonal
+          // the complex to real operation returns true if the updated 2x2 block is not already diagonal
+          if(internal::svd_precondition_2x2_block_to_be_real<MatrixType, QRPreconditioner>::run(m_workMatrix, *this, p, q, maxDiagEntry))
+          {
+            JacobiRotation<RealScalar> j_left, j_right;
+            internal::real_2x2_jacobi_svd(m_workMatrix, p, q, &j_left, &j_right);
+
+            // accumulate resulting Jacobi rotations
+            m_workMatrix.applyOnTheLeft(p,q,j_left);
+            if(computeU()) m_matrixU.applyOnTheRight(p,q,j_left.transpose());
+
+            m_workMatrix.applyOnTheRight(p,q,j_right);
+            if(computeV()) m_matrixV.applyOnTheRight(p,q,j_right);
+
+            // keep track of the largest diagonal coefficient
+            maxDiagEntry = numext::maxi<RealScalar>(maxDiagEntry,numext::maxi<RealScalar>(abs(m_workMatrix.coeff(p,p)), abs(m_workMatrix.coeff(q,q))));
+          }
+        }
+      }
+    }
+  }
+
+  /*** step 3. The work matrix is now diagonal, so ensure it's positive so its diagonal entries are the singular values ***/
+
+  for(Index i = 0; i < m_diagSize; ++i)
+  {
+    // For a complex matrix, some diagonal coefficients might note have been
+    // treated by svd_precondition_2x2_block_to_be_real, and the imaginary part
+    // of some diagonal entry might not be null.
+    if(NumTraits<Scalar>::IsComplex && abs(numext::imag(m_workMatrix.coeff(i,i)))>considerAsZero)
+    {
+      RealScalar a = abs(m_workMatrix.coeff(i,i));
+      m_singularValues.coeffRef(i) = abs(a);
+      if(computeU()) m_matrixU.col(i) *= m_workMatrix.coeff(i,i)/a;
+    }
+    else
+    {
+      // m_workMatrix.coeff(i,i) is already real, no difficulty:
+      RealScalar a = numext::real(m_workMatrix.coeff(i,i));
+      m_singularValues.coeffRef(i) = abs(a);
+      if(computeU() && (a<RealScalar(0))) m_matrixU.col(i) = -m_matrixU.col(i);
+    }
+  }
+  
+  m_singularValues *= scale;
+
+  /*** step 4. Sort singular values in descending order and compute the number of nonzero singular values ***/
+
+  m_nonzeroSingularValues = m_diagSize;
+  for(Index i = 0; i < m_diagSize; i++)
+  {
+    Index pos;
+    RealScalar maxRemainingSingularValue = m_singularValues.tail(m_diagSize-i).maxCoeff(&pos);
+    if(maxRemainingSingularValue == RealScalar(0))
+    {
+      m_nonzeroSingularValues = i;
+      break;
+    }
+    if(pos)
+    {
+      pos += i;
+      std::swap(m_singularValues.coeffRef(i), m_singularValues.coeffRef(pos));
+      if(computeU()) m_matrixU.col(pos).swap(m_matrixU.col(i));
+      if(computeV()) m_matrixV.col(pos).swap(m_matrixV.col(i));
+    }
+  }
+
+  m_isInitialized = true;
+  return *this;
+}
+
+/** \svd_module
+  *
+  * \return the singular value decomposition of \c *this computed by two-sided
+  * Jacobi transformations.
+  *
+  * \sa class JacobiSVD
+  */
+template<typename Derived>
+JacobiSVD<typename MatrixBase<Derived>::PlainObject>
+MatrixBase<Derived>::jacobiSvd(unsigned int computationOptions) const
+{
+  return JacobiSVD<PlainObject>(*this, computationOptions);
+}
+
+} // end namespace Eigen
+
+#endif // EIGEN_JACOBISVD_H
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD_LAPACKE.h
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD_LAPACKE.h	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD_LAPACKE.h	(revision 3761)
@@ -0,0 +1,91 @@
+/*
+ Copyright (c) 2011, Intel Corporation. All rights reserved.
+
+ Redistribution and use in source and binary forms, with or without modification,
+ are permitted provided that the following conditions are met:
+
+ * Redistributions of source code must retain the above copyright notice, this
+   list of conditions and the following disclaimer.
+ * Redistributions in binary form must reproduce the above copyright notice,
+   this list of conditions and the following disclaimer in the documentation
+   and/or other materials provided with the distribution.
+ * Neither the name of Intel Corporation nor the names of its contributors may
+   be used to endorse or promote products derived from this software without
+   specific prior written permission.
+
+ THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND
+ ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED
+ WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
+ DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE LIABLE FOR
+ ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES
+ (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES;
+ LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON
+ ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
+ (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS
+ SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
+
+ ********************************************************************************
+ *   Content : Eigen bindings to LAPACKe
+ *    Singular Value Decomposition - SVD.
+ ********************************************************************************
+*/
+
+#ifndef EIGEN_JACOBISVD_LAPACKE_H
+#define EIGEN_JACOBISVD_LAPACKE_H
+
+namespace Eigen { 
+
+/** \internal Specialization for the data types supported by LAPACKe */
+
+#define EIGEN_LAPACKE_SVD(EIGTYPE, LAPACKE_TYPE, LAPACKE_RTYPE, LAPACKE_PREFIX, EIGCOLROW, LAPACKE_COLROW) \
+template<> inline \
+JacobiSVD<Matrix<EIGTYPE, Dynamic, Dynamic, EIGCOLROW, Dynamic, Dynamic>, ColPivHouseholderQRPreconditioner>& \
+JacobiSVD<Matrix<EIGTYPE, Dynamic, Dynamic, EIGCOLROW, Dynamic, Dynamic>, ColPivHouseholderQRPreconditioner>::compute(const Matrix<EIGTYPE, Dynamic, Dynamic, EIGCOLROW, Dynamic, Dynamic>& matrix, unsigned int computationOptions) \
+{ \
+  typedef Matrix<EIGTYPE, Dynamic, Dynamic, EIGCOLROW, Dynamic, Dynamic> MatrixType; \
+  /*typedef MatrixType::Scalar Scalar;*/ \
+  /*typedef MatrixType::RealScalar RealScalar;*/ \
+  allocate(matrix.rows(), matrix.cols(), computationOptions); \
+\
+  /*const RealScalar precision = RealScalar(2) * NumTraits<Scalar>::epsilon();*/ \
+  m_nonzeroSingularValues = m_diagSize; \
+\
+  lapack_int lda = internal::convert_index<lapack_int>(matrix.outerStride()), ldu, ldvt; \
+  lapack_int matrix_order = LAPACKE_COLROW; \
+  char jobu, jobvt; \
+  LAPACKE_TYPE *u, *vt, dummy; \
+  jobu  = (m_computeFullU) ? 'A' : (m_computeThinU) ? 'S' : 'N'; \
+  jobvt = (m_computeFullV) ? 'A' : (m_computeThinV) ? 'S' : 'N'; \
+  if (computeU()) { \
+    ldu  = internal::convert_index<lapack_int>(m_matrixU.outerStride()); \
+    u    = (LAPACKE_TYPE*)m_matrixU.data(); \
+  } else { ldu=1; u=&dummy; }\
+  MatrixType localV; \
+  lapack_int vt_rows = (m_computeFullV) ? internal::convert_index<lapack_int>(m_cols) : (m_computeThinV) ? internal::convert_index<lapack_int>(m_diagSize) : 1; \
+  if (computeV()) { \
+    localV.resize(vt_rows, m_cols); \
+    ldvt  = internal::convert_index<lapack_int>(localV.outerStride()); \
+    vt   = (LAPACKE_TYPE*)localV.data(); \
+  } else { ldvt=1; vt=&dummy; }\
+  Matrix<LAPACKE_RTYPE, Dynamic, Dynamic> superb; superb.resize(m_diagSize, 1); \
+  MatrixType m_temp; m_temp = matrix; \
+  LAPACKE_##LAPACKE_PREFIX##gesvd( matrix_order, jobu, jobvt, internal::convert_index<lapack_int>(m_rows), internal::convert_index<lapack_int>(m_cols), (LAPACKE_TYPE*)m_temp.data(), lda, (LAPACKE_RTYPE*)m_singularValues.data(), u, ldu, vt, ldvt, superb.data()); \
+  if (computeV()) m_matrixV = localV.adjoint(); \
+ /* for(int i=0;i<m_diagSize;i++) if (m_singularValues.coeffRef(i) < precision) { m_nonzeroSingularValues--; m_singularValues.coeffRef(i)=RealScalar(0);}*/ \
+  m_isInitialized = true; \
+  return *this; \
+}
+
+EIGEN_LAPACKE_SVD(double,   double,                double, d, ColMajor, LAPACK_COL_MAJOR)
+EIGEN_LAPACKE_SVD(float,    float,                 float , s, ColMajor, LAPACK_COL_MAJOR)
+EIGEN_LAPACKE_SVD(dcomplex, lapack_complex_double, double, z, ColMajor, LAPACK_COL_MAJOR)
+EIGEN_LAPACKE_SVD(scomplex, lapack_complex_float,  float , c, ColMajor, LAPACK_COL_MAJOR)
+
+EIGEN_LAPACKE_SVD(double,   double,                double, d, RowMajor, LAPACK_ROW_MAJOR)
+EIGEN_LAPACKE_SVD(float,    float,                 float , s, RowMajor, LAPACK_ROW_MAJOR)
+EIGEN_LAPACKE_SVD(dcomplex, lapack_complex_double, double, z, RowMajor, LAPACK_ROW_MAJOR)
+EIGEN_LAPACKE_SVD(scomplex, lapack_complex_float,  float , c, RowMajor, LAPACK_ROW_MAJOR)
+
+} // end namespace Eigen
+
+#endif // EIGEN_JACOBISVD_LAPACKE_H
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/SVD/BDCSVD.h	(revision 3761)
@@ -0,0 +1,1277 @@
+// This file is part of Eigen, a lightweight C++ template library
+// for linear algebra.
+// 
+// We used the "A Divide-And-Conquer Algorithm for the Bidiagonal SVD"
+// research report written by Ming Gu and Stanley C.Eisenstat
+// The code variable names correspond to the names they used in their 
+// report
+//
+// Copyright (C) 2013 Gauthier Brun <brun.gauthier@gmail.com>
+// Copyright (C) 2013 Nicolas Carre <nicolas.carre@ensimag.fr>
+// Copyright (C) 2013 Jean Ceccato <jean.ceccato@ensimag.fr>
+// Copyright (C) 2013 Pierre Zoppitelli <pierre.zoppitelli@ensimag.fr>
+// Copyright (C) 2013 Jitse Niesen <jitse@maths.leeds.ac.uk>
+// Copyright (C) 2014-2017 Gael Guennebaud <gael.guennebaud@inria.fr>
+//
+// Source Code Form is subject to the terms of the Mozilla
+// Public License v. 2.0. If a copy of the MPL was not distributed
+// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
+
+#ifndef EIGEN_BDCSVD_H
+#define EIGEN_BDCSVD_H
+// #define EIGEN_BDCSVD_DEBUG_VERBOSE
+// #define EIGEN_BDCSVD_SANITY_CHECKS
+
+namespace Eigen {
+
+#ifdef EIGEN_BDCSVD_DEBUG_VERBOSE
+IOFormat bdcsvdfmt(8, 0, ", ", "\n", "  [", "]");
+#endif
+  
+template<typename _MatrixType> class BDCSVD;
+
+namespace internal {
+
+template<typename _MatrixType> 
+struct traits<BDCSVD<_MatrixType> >
+{
+  typedef _MatrixType MatrixType;
+};  
+
+} // end namespace internal
+  
+  
+/** \ingroup SVD_Module
+ *
+ *
+ * \class BDCSVD
+ *
+ * \brief class Bidiagonal Divide and Conquer SVD
+ *
+ * \tparam _MatrixType the type of the matrix of which we are computing the SVD decomposition
+ *
+ * This class first reduces the input matrix to bi-diagonal form using class UpperBidiagonalization,
+ * and then performs a divide-and-conquer diagonalization. Small blocks are diagonalized using class JacobiSVD.
+ * You can control the switching size with the setSwitchSize() method, default is 16.
+ * For small matrice (<16), it is thus preferable to directly use JacobiSVD. For larger ones, BDCSVD is highly
+ * recommended and can several order of magnitude faster.
+ *
+ * \warning this algorithm is unlikely to provide accurate result when compiled with unsafe math optimizations.
+ * For instance, this concerns Intel's compiler (ICC), which perfroms such optimization by default unless
+ * you compile with the \c -fp-model \c precise option. Likewise, the \c -ffast-math option of GCC or clang will
+ * significantly degrade the accuracy.
+ *
+ * \sa class JacobiSVD
+ */
+template<typename _MatrixType> 
+class BDCSVD : public SVDBase<BDCSVD<_MatrixType> >
+{
+  typedef SVDBase<BDCSVD> Base;
+    
+public:
+  using Base::rows;
+  using Base::cols;
+  using Base::computeU;
+  using Base::computeV;
+  
+  typedef _MatrixType MatrixType;
+  typedef typename MatrixType::Scalar Scalar;
+  typedef typename NumTraits<typename MatrixType::Scalar>::Real RealScalar;
+  typedef typename NumTraits<RealScalar>::Literal Literal;
+  enum {
+    RowsAtCompileTime = MatrixType::RowsAtCompileTime, 
+    ColsAtCompileTime = MatrixType::ColsAtCompileTime, 
+    DiagSizeAtCompileTime = EIGEN_SIZE_MIN_PREFER_DYNAMIC(RowsAtCompileTime, ColsAtCompileTime), 
+    MaxRowsAtCompileTime = MatrixType::MaxRowsAtCompileTime, 
+    MaxColsAtCompileTime = MatrixType::MaxColsAtCompileTime, 
+    MaxDiagSizeAtCompileTime = EIGEN_SIZE_MIN_PREFER_FIXED(MaxRowsAtCompileTime, MaxColsAtCompileTime), 
+    MatrixOptions = MatrixType::Options
+  };
+
+  typedef typename Base::MatrixUType MatrixUType;
+  typedef typename Base::MatrixVType MatrixVType;
+  typedef typename Base::SingularValuesType SingularValuesType;
+  
+  typedef Matrix<Scalar, Dynamic, Dynamic, ColMajor> MatrixX;
+  typedef Matrix<RealScalar, Dynamic, Dynamic, ColMajor> MatrixXr;
+  typedef Matrix<RealScalar, Dynamic, 1> VectorType;
+  typedef Array<RealScalar, Dynamic, 1> ArrayXr;
+  typedef Array<Index,1,Dynamic> ArrayXi;
+  typedef Ref<ArrayXr> ArrayRef;
+  typedef Ref<ArrayXi> IndicesRef;
+
+  /** \brief Default Constructor.
+   *
+   * The default constructor is useful in cases in which the user intends to
+   * perform decompositions via BDCSVD::compute(const MatrixType&).
+   */
+  BDCSVD() : m_algoswap(16), m_numIters(0)
+  {}
+
+
+  /** \brief Default Constructor with memory preallocation
+   *
+   * Like the default constructor but with preallocation of the internal data
+   * according to the specified problem size.
+   * \sa BDCSVD()
+   */
+  BDCSVD(Index rows, Index cols, unsigned int computationOptions = 0)
+    : m_algoswap(16), m_numIters(0)
+  {
+    allocate(rows, cols, computationOptions);
+  }
+
+  /** \brief Constructor performing the decomposition of given matrix.
+   *
+   * \param matrix the matrix to decompose
+   * \param computationOptions optional parameter allowing to specify if you want full or thin U or V unitaries to be computed.
+   *                           By default, none is computed. This is a bit - field, the possible bits are #ComputeFullU, #ComputeThinU, 
+   *                           #ComputeFullV, #ComputeThinV.
+   *
+   * Thin unitaries are only available if your matrix type has a Dynamic number of columns (for example MatrixXf). They also are not
+   * available with the (non - default) FullPivHouseholderQR preconditioner.
+   */
+  BDCSVD(const MatrixType& matrix, unsigned int computationOptions = 0)
+    : m_algoswap(16), m_numIters(0)
+  {
+    compute(matrix, computationOptions);
+  }
+
+  ~BDCSVD() 
+  {
+  }
+  
+  /** \brief Method performing the decomposition of given matrix using custom options.
+   *
+   * \param matrix the matrix to decompose
+   * \param computationOptions optional parameter allowing to specify if you want full or thin U or V unitaries to be computed.
+   *                           By default, none is computed. This is a bit - field, the possible bits are #ComputeFullU, #ComputeThinU, 
+   *                           #ComputeFullV, #ComputeThinV.
+   *
+   * Thin unitaries are only available if your matrix type has a Dynamic number of columns (for example MatrixXf). They also are not
+   * available with the (non - default) FullPivHouseholderQR preconditioner.
+   */
+  BDCSVD& compute(const MatrixType& matrix, unsigned int computationOptions);
+
+  /** \brief Method performing the decomposition of given matrix using current options.
+   *
+   * \param matrix the matrix to decompose
+   *
+   * This method uses the current \a computationOptions, as already passed to the constructor or to compute(const MatrixType&, unsigned int).
+   */
+  BDCSVD& compute(const MatrixType& matrix)
+  {
+    return compute(matrix, this->m_computationOptions);
+  }
+
+  void setSwitchSize(int s) 
+  {
+    eigen_assert(s>3 && "BDCSVD the size of the algo switch has to be greater than 3");
+    m_algoswap = s;
+  }
+ 
+private:
+  void allocate(Index rows, Index cols, unsigned int computationOptions);
+  void divide(Index firstCol, Index lastCol, Index firstRowW, Index firstColW, Index shift);
+  void computeSVDofM(Index firstCol, Index n, MatrixXr& U, VectorType& singVals, MatrixXr& V);
+  void computeSingVals(const ArrayRef& col0, const ArrayRef& diag, const IndicesRef& perm, VectorType& singVals, ArrayRef shifts, ArrayRef mus);
+  void perturbCol0(const ArrayRef& col0, const ArrayRef& diag, const IndicesRef& perm, const VectorType& singVals, const ArrayRef& shifts, const ArrayRef& mus, ArrayRef zhat);
+  void computeSingVecs(const ArrayRef& zhat, const ArrayRef& diag, const IndicesRef& perm, const VectorType& singVals, const ArrayRef& shifts, const ArrayRef& mus, MatrixXr& U, MatrixXr& V);
+  void deflation43(Index firstCol, Index shift, Index i, Index size);
+  void deflation44(Index firstColu , Index firstColm, Index firstRowW, Index firstColW, Index i, Index j, Index size);
+  void deflation(Index firstCol, Index lastCol, Index k, Index firstRowW, Index firstColW, Index shift);
+  template<typename HouseholderU, typename HouseholderV, typename NaiveU, typename NaiveV>
+  void copyUV(const HouseholderU &householderU, const HouseholderV &householderV, const NaiveU &naiveU, const NaiveV &naivev);
+  void structured_update(Block<MatrixXr,Dynamic,Dynamic> A, const MatrixXr &B, Index n1);
+  static RealScalar secularEq(RealScalar x, const ArrayRef& col0, const ArrayRef& diag, const IndicesRef &perm, const ArrayRef& diagShifted, RealScalar shift);
+
+protected:
+  MatrixXr m_naiveU, m_naiveV;
+  MatrixXr m_computed;
+  Index m_nRec;
+  ArrayXr m_workspace;
+  ArrayXi m_workspaceI;
+  int m_algoswap;
+  bool m_isTranspose, m_compU, m_compV;
+  
+  using Base::m_singularValues;
+  using Base::m_diagSize;
+  using Base::m_computeFullU;
+  using Base::m_computeFullV;
+  using Base::m_computeThinU;
+  using Base::m_computeThinV;
+  using Base::m_matrixU;
+  using Base::m_matrixV;
+  using Base::m_isInitialized;
+  using Base::m_nonzeroSingularValues;
+
+public:  
+  int m_numIters;
+}; //end class BDCSVD
+
+
+// Method to allocate and initialize matrix and attributes
+template<typename MatrixType>
+void BDCSVD<MatrixType>::allocate(Index rows, Index cols, unsigned int computationOptions)
+{
+  m_isTranspose = (cols > rows);
+
+  if (Base::allocate(rows, cols, computationOptions))
+    return;
+  
+  m_computed = MatrixXr::Zero(m_diagSize + 1, m_diagSize );
+  m_compU = computeV();
+  m_compV = computeU();
+  if (m_isTranspose)
+    std::swap(m_compU, m_compV);
+  
+  if (m_compU) m_naiveU = MatrixXr::Zero(m_diagSize + 1, m_diagSize + 1 );
+  else         m_naiveU = MatrixXr::Zero(2, m_diagSize + 1 );
+  
+  if (m_compV) m_naiveV = MatrixXr::Zero(m_diagSize, m_diagSize);
+  
+  m_workspace.resize((m_diagSize+1)*(m_diagSize+1)*3);
+  m_workspaceI.resize(3*m_diagSize);
+}// end allocate
+
+template<typename MatrixType>
+BDCSVD<MatrixType>& BDCSVD<MatrixType>::compute(const MatrixType& matrix, unsigned int computationOptions) 
+{
+#ifdef EIGEN_BDCSVD_DEBUG_VERBOSE
+  std::cout << "\n\n\n======================================================================================================================\n\n\n";
+#endif
+  allocate(matrix.rows(), matrix.cols(), computationOptions);
+  using std::abs;
+
+  const RealScalar considerZero = (std::numeric_limits<RealScalar>::min)();
+  
+  //**** step -1 - If the problem is too small, directly falls back to JacobiSVD and return
+  if(matrix.cols() < m_algoswap)
+  {
+    // FIXME this line involves temporaries
+    JacobiSVD<MatrixType> jsvd(matrix,computationOptions);
+    if(computeU()) m_matrixU = jsvd.matrixU();
+    if(computeV()) m_matrixV = jsvd.matrixV();
+    m_singularValues = jsvd.singularValues();
+    m_nonzeroSingularValues = jsvd.nonzeroSingularValues();
+    m_isInitialized = true;
+    return *this;
+  }
+  
+  //**** step 0 - Copy the input matrix and apply scaling to reduce over/under-flows
+  RealScalar scale = matrix.cwiseAbs().maxCoeff();
+  if(scale==Literal(0)) scale = Literal(1);
+  MatrixX copy;
+  if (m_isTranspose) copy = matrix.adjoint()/scale;
+  else               copy = matrix/scale;
+  
+  //**** step 1 - Bidiagonalization
+  // FIXME this line involves temporaries
+  internal::UpperBidiagonalization<MatrixX> bid(copy);
+
+  //**** step 2 - Divide & Conquer
+  m_naiveU.setZero();
+  m_naiveV.setZero();
+  // FIXME this line involves a temporary matrix
+  m_computed.topRows(m_diagSize) = bid.bidiagonal().toDenseMatrix().transpose();
+  m_computed.template bottomRows<1>().setZero();
+  divide(0, m_diagSize - 1, 0, 0, 0);
+
+  //**** step 3 - Copy singular values and vectors
+  for (int i=0; i<m_diagSize; i++)
+  {
+    RealScalar a = abs(m_computed.coeff(i, i));
+    m_singularValues.coeffRef(i) = a * scale;
+    if (a<considerZero)
+    {
+      m_nonzeroSingularValues = i;
+      m_singularValues.tail(m_diagSize - i - 1).setZero();
+      break;
+    }
+    else if (i == m_diagSize - 1)
+    {
+      m_nonzeroSingularValues = i + 1;
+      break;
+    }
+  }
+
+#ifdef EIGEN_BDCSVD_DEBUG_VERBOSE
+//   std::cout << "m_naiveU\n" << m_naiveU << "\n\n";
+//   std::cout << "m_naiveV\n" << m_naiveV << "\n\n";
+#endif
+  if(m_isTranspose) copyUV(bid.householderV(), bid.householderU(), m_naiveV, m_naiveU);
+  else              copyUV(bid.householderU(), bid.householderV(), m_naiveU, m_naiveV);
+
+  m_isInitialized = true;
+  return *this;
+}// end compute
+
+
+template<typename MatrixType>
+template<typename HouseholderU, typename HouseholderV, typename NaiveU, typename NaiveV>
+void BDCSVD<MatrixType>::copyUV(const HouseholderU &householderU, const HouseholderV &householderV, const NaiveU &naiveU, const NaiveV &naiveV)
+{
+  // Note exchange of U and V: m_matrixU is set from m_naiveV and vice versa
+  if (computeU())
+  {
+    Index Ucols = m_computeThinU ? m_diagSize : householderU.cols();
+    m_matrixU = MatrixX::Identity(householderU.cols(), Ucols);
+    m_matrixU.topLeftCorner(m_diagSize, m_diagSize) = naiveV.template cast<Scalar>().topLeftCorner(m_diagSize, m_diagSize);
+    householderU.applyThisOnTheLeft(m_matrixU); // FIXME this line involves a temporary buffer
+  }
+  if (computeV())
+  {
+    Index Vcols = m_computeThinV ? m_diagSize : householderV.cols();
+    m_matrixV = MatrixX::Identity(householderV.cols(), Vcols);
+    m_matrixV.topLeftCorner(m_diagSize, m_diagSize) = naiveU.template cast<Scalar>().topLeftCorner(m_diagSize, m_diagSize);
+    householderV.applyThisOnTheLeft(m_matrixV); // FIXME this line involves a temporary buffer
+  }
+}
+
+/** \internal
+  * Performs A = A * B exploiting the special structure of the matrix A. Splitting A as:
+  *  A = [A1]
+  *      [A2]
+  * such that A1.rows()==n1, then we assume that at least half of the columns of A1 and A2 are zeros.
+  * We can thus pack them prior to the the matrix product. However, this is only worth the effort if the matrix is large
+  * enough.
+  */
+template<typename MatrixType>
+void BDCSVD<MatrixType>::structured_update(Block<MatrixXr,Dynamic,Dynamic> A, const MatrixXr &B, Index n1)
+{
+  Index n = A.rows();
+  if(n>100)
+  {
+    // If the matrices are large enough, let's exploit the sparse structure of A by
+    // splitting it in half (wrt n1), and packing the non-zero columns.
+    Index n2 = n - n1;
+    Map<MatrixXr> A1(m_workspace.data()      , n1, n);
+    Map<MatrixXr> A2(m_workspace.data()+ n1*n, n2, n);
+    Map<MatrixXr> B1(m_workspace.data()+  n*n, n,  n);
+    Map<MatrixXr> B2(m_workspace.data()+2*n*n, n,  n);
+    Index k1=0, k2=0;
+    for(Index j=0; j<n; ++j)
+    {
+      if( (A.col(j).head(n1).array()!=Literal(0)).any() )
+      {
+        A1.col(k1) = A.col(j).head(n1);
+        B1.row(k1) = B.row(j);
+        ++k1;
+      }
+      if( (A.col(j).tail(n2).array()!=Literal(0)).any() )
+      {
+        A2.col(k2) = A.col(j).tail(n2);
+        B2.row(k2) = B.row(j);
+        ++k2;
+      }
+    }
+  
+    A.topRows(n1).noalias()    = A1.leftCols(k1) * B1.topRows(k1);
+    A.bottomRows(n2).noalias() = A2.leftCols(k2) * B2.topRows(k2);
+  }
+  else
+  {
+    Map<MatrixXr,Aligned> tmp(m_workspace.data(),n,n);
+    tmp.noalias() = A*B;
+    A = tmp;
+  }
+}
+
+// The divide algorithm is done "in place", we are always working on subsets of the same matrix. The divide methods takes as argument the 
+// place of the submatrix we are currently working on.
+
+//@param firstCol : The Index of the first column of the submatrix of m_computed and for m_naiveU;
+//@param lastCol : The Index of the last column of the submatrix of m_computed and for m_naiveU; 
+// lastCol + 1 - firstCol is the size of the submatrix.
+//@param firstRowW : The Index of the first row of the matrix W that we are to change. (see the reference paper section 1 for more information on W)
+//@param firstRowW : Same as firstRowW with the column.
+//@param shift : Each time one takes the left submatrix, one must add 1 to the shift. Why? Because! We actually want the last column of the U submatrix 
+// to become the first column (*coeff) and to shift all the other columns to the right. There are more details on the reference paper.
+template<typename MatrixType>
+void BDCSVD<MatrixType>::divide (Index firstCol, Index lastCol, Index firstRowW, Index firstColW, Index shift)
+{
+  // requires rows = cols + 1;
+  using std::pow;
+  using std::sqrt;
+  using std::abs;
+  const Index n = lastCol - firstCol + 1;
+  const Index k = n/2;
+  const RealScalar considerZero = (std::numeric_limits<RealScalar>::min)();
+  RealScalar alphaK;
+  RealScalar betaK; 
+  RealScalar r0; 
+  RealScalar lambda, phi, c0, s0;
+  VectorType l, f;
+  // We use the other algorithm which is more efficient for small 
+  // matrices.
+  if (n < m_algoswap)
+  {
+    // FIXME this line involves temporaries
+    JacobiSVD<MatrixXr> b(m_computed.block(firstCol, firstCol, n + 1, n), ComputeFullU | (m_compV ? ComputeFullV : 0));
+    if (m_compU)
+      m_naiveU.block(firstCol, firstCol, n + 1, n + 1).real() = b.matrixU();
+    else 
+    {
+      m_naiveU.row(0).segment(firstCol, n + 1).real() = b.matrixU().row(0);
+      m_naiveU.row(1).segment(firstCol, n + 1).real() = b.matrixU().row(n);
+    }
+    if (m_compV) m_naiveV.block(firstRowW, firstColW, n, n).real() = b.matrixV();
+    m_computed.block(firstCol + shift, firstCol + shift, n + 1, n).setZero();
+    m_computed.diagonal().segment(firstCol + shift, n) = b.singularValues().head(n);
+    return;
+  }
+  // We use the divide and conquer algorithm
+  alphaK =  m_computed(firstCol + k, firstCol + k);
+  betaK = m_computed(firstCol + k + 1, firstCol + k);
+  // The divide must be done in that order in order to have good results. Divide change the data inside the submatrices
+  // and the divide of the right submatrice reads one column of the left submatrice. That's why we need to treat the 
+  // right submatrix before the left one. 
+  divide(k + 1 + firstCol, lastCol, k + 1 + firstRowW, k + 1 + firstColW, shift);
+  divide(firstCol, k - 1 + firstCol, firstRowW, firstColW + 1, shift + 1);
+
+  if (m_compU)
+  {
+    lambda = m_naiveU(firstCol + k, firstCol + k);
+    phi = m_naiveU(firstCol + k + 1, lastCol + 1);
+  } 
+  else 
+  {
+    lambda = m_naiveU(1, firstCol + k);
+    phi = m_naiveU(0, lastCol + 1);
+  }
+  r0 = sqrt((abs(alphaK * lambda) * abs(alphaK * lambda)) + abs(betaK * phi) * abs(betaK * phi));
+  if (m_compU)
+  {
+    l = m_naiveU.row(firstCol + k).segment(firstCol, k);
+    f = m_naiveU.row(firstCol + k + 1).segment(firstCol + k + 1, n - k - 1);
+  } 
+  else 
+  {
+    l = m_naiveU.row(1).segment(firstCol, k);
+    f = m_naiveU.row(0).segment(firstCol + k + 1, n - k - 1);
+  }
+  if (m_compV) m_naiveV(firstRowW+k, firstColW) = Literal(1);
+  if (r0<considerZero)
+  {
+    c0 = Literal(1);
+    s0 = Literal(0);
+  }
+  else
+  {
+    c0 = alphaK * lambda / r0;
+    s0 = betaK * phi / r0;
+  }
+  
+#ifdef EIGEN_BDCSVD_SANITY_CHECKS
+  assert(m_naiveU.allFinite());
+  assert(m_naiveV.allFinite());
+  assert(m_computed.allFinite());
+#endif
+  
+  if (m_compU)
+  {
+    MatrixXr q1 (m_naiveU.col(firstCol + k).segment(firstCol, k + 1));     
+    // we shiftW Q1 to the right
+    for (Index i = firstCol + k - 1; i >= firstCol; i--) 
+      m_naiveU.col(i + 1).segment(firstCol, k + 1) = m_naiveU.col(i).segment(firstCol, k + 1);
+    // we shift q1 at the left with a factor c0
+    m_naiveU.col(firstCol).segment( firstCol, k + 1) = (q1 * c0);
+    // last column = q1 * - s0
+    m_naiveU.col(lastCol + 1).segment(firstCol, k + 1) = (q1 * ( - s0));
+    // first column = q2 * s0
+    m_naiveU.col(firstCol).segment(firstCol + k + 1, n - k) = m_naiveU.col(lastCol + 1).segment(firstCol + k + 1, n - k) * s0; 
+    // q2 *= c0
+    m_naiveU.col(lastCol + 1).segment(firstCol + k + 1, n - k) *= c0;
+  } 
+  else 
+  {
+    RealScalar q1 = m_naiveU(0, firstCol + k);
+    // we shift Q1 to the right
+    for (Index i = firstCol + k - 1; i >= firstCol; i--) 
+      m_naiveU(0, i + 1) = m_naiveU(0, i);
+    // we shift q1 at the left with a factor c0
+    m_naiveU(0, firstCol) = (q1 * c0);
+    // last column = q1 * - s0
+    m_naiveU(0, lastCol + 1) = (q1 * ( - s0));
+    // first column = q2 * s0
+    m_naiveU(1, firstCol) = m_naiveU(1, lastCol + 1) *s0; 
+    // q2 *= c0
+    m_naiveU(1, lastCol + 1) *= c0;
+    m_naiveU.row(1).segment(firstCol + 1, k).setZero();
+    m_naiveU.row(0).segment(firstCol + k + 1, n - k - 1).setZero();
+  }
+  
+#ifdef EIGEN_BDCSVD_SANITY_CHECKS
+  assert(m_naiveU.allFinite());
+  assert(m_naiveV.allFinite());
+  assert(m_computed.allFinite());
+#endif
+  
+  m_computed(firstCol + shift, firstCol + shift) = r0;
+  m_computed.col(firstCol + shift).segment(firstCol + shift + 1, k) = alphaK * l.transpose().real();
+  m_computed.col(firstCol + shift).segment(firstCol + shift + k + 1, n - k - 1) = betaK * f.transpose().real();
+
+#ifdef EIGEN_BDCSVD_DEBUG_VERBOSE
+  ArrayXr tmp1 = (m_computed.block(firstCol+shift, firstCol+shift, n, n)).jacobiSvd().singularValues();
+#endif
+  // Second part: try to deflate singular values in combined matrix
+  deflation(firstCol, lastCol, k, firstRowW, firstColW, shift);
+#ifdef EIGEN_BDCSVD_DEBUG_VERBOSE
+  ArrayXr tmp2 = (m_computed.block(firstCol+shift, firstCol+shift, n, n)).jacobiSvd().singularValues();
+  std::cout << "\n\nj1 = " << tmp1.transpose().format(bdcsvdfmt) << "\n";
+  std::cout << "j2 = " << tmp2.transpose().format(bdcsvdfmt) << "\n\n";
+  std::cout << "err:      " << ((tmp1-tmp2).abs()>1e-12*tmp2.abs()).transpose() << "\n";
+  static int count = 0;
+  std::cout << "# " << ++count << "\n\n";
+  assert((tmp1-tmp2).matrix().norm() < 1e-14*tmp2.matrix().norm());
+//   assert(count<681);
+//   assert(((tmp1-tmp2).abs()<1e-13*tmp2.abs()).all());
+#endif
+  
+  // Third part: compute SVD of combined matrix
+  MatrixXr UofSVD, VofSVD;
+  VectorType singVals;
+  computeSVDofM(firstCol + shift, n, UofSVD, singVals, VofSVD);
+  
+#ifdef EIGEN_BDCSVD_SANITY_CHECKS
+  assert(UofSVD.allFinite());
+  assert(VofSVD.allFinite());
+#endif
+  
+  if (m_compU)
+    structured_update(m_naiveU.block(firstCol, firstCol, n + 1, n + 1), UofSVD, (n+2)/2);
+  else
+  {
+    Map<Matrix<RealScalar,2,Dynamic>,Aligned> tmp(m_workspace.data(),2,n+1);
+    tmp.noalias() = m_naiveU.middleCols(firstCol, n+1) * UofSVD;
+    m_naiveU.middleCols(firstCol, n + 1) = tmp;
+  }
+  
+  if (m_compV)  structured_update(m_naiveV.block(firstRowW, firstColW, n, n), VofSVD, (n+1)/2);
+  
+#ifdef EIGEN_BDCSVD_SANITY_CHECKS
+  assert(m_naiveU.allFinite());
+  assert(m_naiveV.allFinite());
+  assert(m_computed.allFinite());
+#endif
+  
+  m_computed.block(firstCol + shift, firstCol + shift, n, n).setZero();
+  m_computed.block(firstCol + shift, firstCol + shift, n, n).diagonal() = singVals;
+}// end divide
+
+// Compute SVD of m_computed.block(firstCol, firstCol, n + 1, n); this block only has non-zeros in
+// the first column and on the diagonal and has undergone deflation, so diagonal is in increasing
+// order except for possibly the (0,0) entry. The computed SVD is stored U, singVals and V, except
+// that if m_compV is false, then V is not computed. Singular values are sorted in decreasing order.
+//
+// TODO Opportunities for optimization: better root finding algo, better stopping criterion, better
+// handling of round-off errors, be consistent in ordering
+// For instance, to solve the secular equation using FMM, see http://www.stat.uchicago.edu/~lekheng/courses/302/classics/greengard-rokhlin.pdf
+template <typename MatrixType>
+void BDCSVD<MatrixType>::computeSVDofM(Index firstCol, Index n, MatrixXr& U, VectorType& singVals, MatrixXr& V)
+{
+  const RealScalar considerZero = (std::numeric_limits<RealScalar>::min)();
+  using std::abs;
+  ArrayRef col0 = m_computed.col(firstCol).segment(firstCol, n);
+  m_workspace.head(n) =  m_computed.block(firstCol, firstCol, n, n).diagonal();
+  ArrayRef diag = m_workspace.head(n);
+  diag(0) = Literal(0);
+
+  // Allocate space for singular values and vectors
+  singVals.resize(n);
+  U.resize(n+1, n+1);
+  if (m_compV) V.resize(n, n);
+
+#ifdef EIGEN_BDCSVD_DEBUG_VERBOSE
+  if (col0.hasNaN() || diag.hasNaN())
+    std::cout << "\n\nHAS NAN\n\n";
+#endif
+  
+  // Many singular values might have been deflated, the zero ones have been moved to the end,
+  // but others are interleaved and we must ignore them at this stage.
+  // To this end, let's compute a permutation skipping them:
+  Index actual_n = n;
+  while(actual_n>1 && diag(actual_n-1)==Literal(0)) --actual_n;
+  Index m = 0; // size of the deflated problem
+  for(Index k=0;k<actual_n;++k)
+    if(abs(col0(k))>considerZero)
+      m_workspaceI(m++) = k;
+  Map<ArrayXi> perm(m_workspaceI.data(),m);
+  
+  Map<ArrayXr> shifts(m_workspace.data()+1*n, n);
+  Map<ArrayXr> mus(m_workspace.data()+2*n, n);
+  Map<ArrayXr> zhat(m_workspace.data()+3*n, n);
+
+#ifdef EIGEN_BDCSVD_DEBUG_VERBOSE
+  std::cout << "computeSVDofM using:\n";
+  std::cout << "  z: " << col0.transpose() << "\n";
+  std::cout << "  d: " << diag.transpose() << "\n";
+#endif
+  
+  // Compute singVals, shifts, and mus
+  computeSingVals(col0, diag, perm, singVals, shifts, mus);
+  
+#ifdef EIGEN_BDCSVD_DEBUG_VERBOSE
+  std::cout << "  j:        " << (m_computed.block(firstCol, firstCol, n, n)).jacobiSvd().singularValues().transpose().reverse() << "\n\n";
+  std::cout << "  sing-val: " << singVals.transpose() << "\n";
+  std::cout << "  mu:       " << mus.transpose() << "\n";
+  std::cout << "  shift:    " << shifts.transpose() << "\n";
+  
+  {
+    Index actual_n = n;
+    while(actual_n>1 && abs(col0(actual_n-1))<considerZero) --actual_n;
+    std::cout << "\n\n    mus:    " << mus.head(actual_n).transpose() << "\n\n";
+    std::cout << "    check1 (expect0) : " << ((singVals.array()-(shifts+mus)) / singVals.array()).head(actual_n).transpose() << "\n\n";
+    std::cout << "    check2 (>0)      : " << ((singVals.array()-diag) / singVals.array()).head(actual_n).transpose() << "\n\n";
+    std::cout << "    check3 (>0)      : " << ((diag.segment(1,actual_n-1)-singVals.head(actual_n-1).array()) / singVals.head(actual_n-1).array()).transpose() << "\n\n\n";
+    std::cout << "    check4 (>0)      : " << ((singVals.segment(1,actual_n-1)-singVals.head(actual_n-1))).transpose() << "\n\n\n";
+  }
+#endif
+  
+#ifdef EIGEN_BDCSVD_SANITY_CHECKS
+  assert(singVals.allFinite());
+  assert(mus.allFinite());
+  assert(shifts.allFinite());
+#endif
+  
+  // Compute zhat
+  perturbCol0(col0, diag, perm, singVals, shifts, mus, zhat);
+#ifdef  EIGEN_BDCSVD_DEBUG_VERBOSE
+  std::cout << "  zhat: " << zhat.transpose() << "\n";
+#endif
+  
+#ifdef EIGEN_BDCSVD_SANITY_CHECKS
+  assert(zhat.allFinite());
+#endif
+  
+  computeSingVecs(zhat, diag, perm, singVals, shifts, mus, U, V);
+  
+#ifdef  EIGEN_BDCSVD_DEBUG_VERBOSE
+  std::cout << "U^T U: " << (U.transpose() * U - MatrixXr(MatrixXr::Identity(U.cols(),U.cols()))).norm() << "\n";
+  std::cout << "V^T V: " << (V.transpose() * V - MatrixXr(MatrixXr::Identity(V.cols(),V.cols()))).norm() << "\n";
+#endif
+  
+#ifdef EIGEN_BDCSVD_SANITY_CHECKS
+  assert(U.allFinite());
+  assert(V.allFinite());
+  assert((U.transpose() * U - MatrixXr(MatrixXr::Identity(U.cols(),U.cols()))).norm() < 1e-14 * n);
+  assert((V.transpose() * V - MatrixXr(MatrixXr::Identity(V.cols(),V.cols()))).norm() < 1e-14 * n);
+  assert(m_naiveU.allFinite());
+  assert(m_naiveV.allFinite());
+  assert(m_computed.allFinite());
+#endif
+  
+  // Because of deflation, the singular values might not be completely sorted.
+  // Fortunately, reordering them is a O(n) problem
+  for(Index i=0; i<actual_n-1; ++i)
+  {
+    if(singVals(i)>singVals(i+1))
+    {
+      using std::swap;
+      swap(singVals(i),singVals(i+1));
+      U.col(i).swap(U.col(i+1));
+      if(m_compV) V.col(i).swap(V.col(i+1));
+    }
+  }
+  
+  // Reverse order so that singular values in increased order
+  // Because of deflation, the zeros singular-values are already at the end
+  singVals.head(actual_n).reverseInPlace();
+  U.leftCols(actual_n).rowwise().reverseInPlace();
+  if (m_compV) V.leftCols(actual_n).rowwise().reverseInPlace();
+  
+#ifdef EIGEN_BDCSVD_DEBUG_VERBOSE
+  JacobiSVD<MatrixXr> jsvd(m_computed.block(firstCol, firstCol, n, n) );
+  std::cout << "  * j:        " << jsvd.singularValues().transpose() << "\n\n";
+  std::cout << "  * sing-val: " << singVals.transpose() << "\n";
+//   std::cout << "  * err:      " << ((jsvd.singularValues()-singVals)>1e-13*singVals.norm()).transpose() << "\n";
+#endif
+}
+
+template <typename MatrixType>
+typename BDCSVD<MatrixType>::RealScalar BDCSVD<MatrixType>::secularEq(RealScalar mu, const ArrayRef& col0, const ArrayRef& diag, const IndicesRef &perm, const ArrayRef& diagShifted, RealScalar shift)
+{
+  Index m = perm.size();
+  RealScalar res = Literal(1);
+  for(Index i=0; i<m; ++i)
+  {
+    Index j = perm(i);
+    // The following expression could be rewritten to involve only a single division,
+    // but this would make the expression more sensitive to overflow.
+    res += (col0(j) / (diagShifted(j) - mu)) * (col0(j) / (diag(j) + shift + mu));
+  }
+  return res;
+
+}
+
+template <typename MatrixType>
+void BDCSVD<MatrixType>::computeSingVals(const ArrayRef& col0, const ArrayRef& diag, const IndicesRef &perm,
+                                         VectorType& singVals, ArrayRef shifts, ArrayRef mus)
+{
+  using std::abs;
+  using std::swap;
+  using std::sqrt;
+
+  Index n = col0.size();
+  Index actual_n = n;
+  // Note that here actual_n is computed based on col0(i)==0 instead of diag(i)==0 as above
+  // because 1) we have diag(i)==0 => col0(i)==0 and 2) if col0(i)==0, then diag(i) is already a singular value.
+  while(actual_n>1 && col0(actual_n-1)==Literal(0)) --actual_n;
+
+  for (Index k = 0; k < n; ++k)
+  {
+    if (col0(k) == Literal(0) || actual_n==1)
+    {
+      // if col0(k) == 0, then entry is deflated, so singular value is on diagonal
+      // if actual_n==1, then the deflated problem is already diagonalized
+      singVals(k) = k==0 ? col0(0) : diag(k);
+      mus(k) = Literal(0);
+      shifts(k) = k==0 ? col0(0) : diag(k);
+      continue;
+    } 
+
+    // otherwise, use secular equation to find singular value
+    RealScalar left = diag(k);
+    RealScalar right; // was: = (k != actual_n-1) ? diag(k+1) : (diag(actual_n-1) + col0.matrix().norm());
+    if(k==actual_n-1)
+      right = (diag(actual_n-1) + col0.matrix().norm());
+    else
+    {
+      // Skip deflated singular values,
+      // recall that at this stage we assume that z[j]!=0 and all entries for which z[j]==0 have been put aside.
+      // This should be equivalent to using perm[]
+      Index l = k+1;
+      while(col0(l)==Literal(0)) { ++l; eigen_internal_assert(l<actual_n); }
+      right = diag(l);
+    }
+
+    // first decide whether it's closer to the left end or the right end
+    RealScalar mid = left + (right-left) / Literal(2);
+    RealScalar fMid = secularEq(mid, col0, diag, perm, diag, Literal(0));
+#ifdef EIGEN_BDCSVD_DEBUG_VERBOSE
+    std::cout << right-left << "\n";
+    std::cout << "fMid = " << fMid << " " << secularEq(mid-left, col0, diag, perm, diag-left, left) << " " << secularEq(mid-right, col0, diag, perm, diag-right, right)   << "\n";
+    std::cout << "     = " << secularEq(0.1*(left+right), col0, diag, perm, diag, 0)
+              << " "       << secularEq(0.2*(left+right), col0, diag, perm, diag, 0)
+              << " "       << secularEq(0.3*(left+right), col0, diag, perm, diag, 0)
+              << " "       << secularEq(0.4*(left+right), col0, diag, perm, diag, 0)
+              << " "       << secularEq(0.49*(left+right), col0, diag, perm, diag, 0)
+              << " "       << secularEq(0.5*(left+right), col0, diag, perm, diag, 0)
+              << " "       << secularEq(0.51*(left+right), col0, diag, perm, diag, 0)
+              << " "       << secularEq(0.6*(left+right), col0, diag, perm, diag, 0)
+              << " "       << secularEq(0.7*(left+right), col0, diag, perm, diag, 0)
+              << " "       << secularEq(0.8*(left+right), col0, diag, perm, diag, 0)
+              << " "       << secularEq(0.9*(left+right), col0, diag, perm, diag, 0) << "\n";
+#endif
+    RealScalar shift = (k == actual_n-1 || fMid > Literal(0)) ? left : right;
+    
+    // measure everything relative to shift
+    Map<ArrayXr> diagShifted(m_workspace.data()+4*n, n);
+    diagShifted = diag - shift;
+
+    if(k!=actual_n-1)
+    {
+      // check that after the shift, f(mid) is still negative:
+      RealScalar midShifted = (right - left) / RealScalar(2);
+      if(shift==right)
+        midShifted = -midShifted;
+      RealScalar fMidShifted = secularEq(midShifted, col0, diag, perm, diagShifted, shift);
+      if(fMidShifted>0)
+      {
+        // fMid was erroneous, fix it:
+        shift =  fMidShifted > Literal(0) ? left : right;
+        diagShifted = diag - shift;
+      }
+    }
+    
+    // initial guess
+    RealScalar muPrev, muCur;
+    if (shift == left)
+    {
+      muPrev = (right - left) * RealScalar(0.1);
+      if (k == actual_n-1) muCur = right - left;
+      else                 muCur = (right - left) * RealScalar(0.5);
+    }
+    else
+    {
+      muPrev = -(right - left) * RealScalar(0.1);
+      muCur = -(right - left) * RealScalar(0.5);
+    }
+
+    RealScalar fPrev = secularEq(muPrev, col0, diag, perm, diagShifted, shift);
+    RealScalar fCur = secularEq(muCur, col0, diag, perm, diagShifted, shift);
+    if (abs(fPrev) < abs(fCur))
+    {
+      swap(fPrev, fCur);
+      swap(muPrev, muCur);
+    }
+
+    // rational interpolation: fit a function of the form a / mu + b through the two previous
+    // iterates and use its zero to compute the next iterate
+    bool useBisection = fPrev*fCur>Literal(0);
+    while (fCur!=Literal(0) && abs(muCur - muPrev) > Literal(8) * NumTraits<RealScalar>::epsilon() * numext::maxi<RealScalar>(abs(muCur), abs(muPrev)) && abs(fCur - fPrev)>NumTraits<RealScalar>::epsilon() && !useBisection)
+    {
+      ++m_numIters;
+
+      // Find a and b such that the function f(mu) = a / mu + b matches the current and previous samples.
+      RealScalar a = (fCur - fPrev) / (Literal(1)/muCur - Literal(1)/muPrev);
+      RealScalar b = fCur - a / muCur;
+      // And find mu such that f(mu)==0:
+      RealScalar muZero = -a/b;
+      RealScalar fZero = secularEq(muZero, col0, diag, perm, diagShifted, shift);
+      
+      muPrev = muCur;
+      fPrev = fCur;
+      muCur = muZero;
+      fCur = fZero;
+      
+      
+      if (shift == left  && (muCur < Literal(0) || muCur > right - left)) useBisection = true;
+      if (shift == right && (muCur < -(right - left) || muCur > Literal(0))) useBisection = true;
+      if (abs(fCur)>abs(fPrev)) useBisection = true;
+    }
+
+    // fall back on bisection method if rational interpolation did not work
+    if (useBisection)
+    {
+#ifdef  EIGEN_BDCSVD_DEBUG_VERBOSE
+      std::cout << "useBisection for k = " << k << ", actual_n = " << actual_n << "\n";
+#endif
+      RealScalar leftShifted, rightShifted;
+      if (shift == left)
+      {
+        // to avoid overflow, we must have mu > max(real_min, |z(k)|/sqrt(real_max)),
+        // the factor 2 is to be more conservative
+        leftShifted = numext::maxi<RealScalar>( (std::numeric_limits<RealScalar>::min)(), Literal(2) * abs(col0(k)) / sqrt((std::numeric_limits<RealScalar>::max)()) );
+
+        // check that we did it right:
+        eigen_internal_assert( (numext::isfinite)( (col0(k)/leftShifted)*(col0(k)/(diag(k)+shift+leftShifted)) ) );
+        // I don't understand why the case k==0 would be special there:
+        // if (k == 0) rightShifted = right - left; else
+        rightShifted = (k==actual_n-1) ? right : ((right - left) * RealScalar(0.51)); // theoretically we can take 0.5, but let's be safe
+      }
+      else
+      {
+        leftShifted = -(right - left) * RealScalar(0.51);
+        if(k+1<n)
+          rightShifted = -numext::maxi<RealScalar>( (std::numeric_limits<RealScalar>::min)(), abs(col0(k+1)) / sqrt((std::numeric_limits<RealScalar>::max)()) );
+        else
+          rightShifted = -(std::numeric_limits<RealScalar>::min)();
+      }
+      
+      RealScalar fLeft = secularEq(leftShifted, col0, diag, perm, diagShifted, shift);
+      eigen_internal_assert(fLeft<Literal(0));
+
+#if defined EIGEN_INTERNAL_DEBUGGING || defined EIGEN_BDCSVD_DEBUG_VERBOSE
+      RealScalar fRight = secularEq(rightShifted, col0, diag, perm, diagShifted, shift);
+#endif
+
+
+#ifdef  EIGEN_BDCSVD_DEBUG_VERBOSE
+      if(!(fLeft * fRight<0))
+      {
+        std::cout << "fLeft: " << leftShifted << " - " << diagShifted.head(10).transpose()  << "\n ; " << bool(left==shift) << " " << (left-shift) << "\n";
+        std::cout << k << " : " <<  fLeft << " * " << fRight << " == " << fLeft * fRight << "  ;  " << left << " - " << right << " -> " <<  leftShifted << " " << rightShifted << "   shift=" << shift << "\n";
+      }
+#endif
+      eigen_internal_assert(fLeft * fRight < Literal(0));
+
+      if(fLeft<Literal(0))
+      {
+        while (rightShifted - leftShifted > Literal(2) * NumTraits<RealScalar>::epsilon() * numext::maxi<RealScalar>(abs(leftShifted), abs(rightShifted)))
+        {
+          RealScalar midShifted = (leftShifted + rightShifted) / Literal(2);
+          fMid = secularEq(midShifted, col0, diag, perm, diagShifted, shift);
+          eigen_internal_assert((numext::isfinite)(fMid));
+
+          if (fLeft * fMid < Literal(0))
+          {
+            rightShifted = midShifted;
+          }
+          else
+          {
+            leftShifted = midShifted;
+            fLeft = fMid;
+          }
+        }
+        muCur = (leftShifted + rightShifted) / Literal(2);
+      }
+      else 
+      {
+        // We have a problem as shifting on the left or right give either a positive or negative value
+        // at the middle of [left,right]...
+        // Instead fo abbording or entering an infinite loop,
+        // let's just use the middle as the estimated zero-crossing:
+        muCur = (right - left) * RealScalar(0.5);
+        if(shift == right)
+          muCur = -muCur;
+      }
+    }
+      
+    singVals[k] = shift + muCur;
+    shifts[k] = shift;
+    mus[k] = muCur;
+
+    // perturb singular value slightly if it equals diagonal entry to avoid division by zero later
+    // (deflation is supposed to avoid this from happening)
+    // - this does no seem to be necessary anymore -
+//     if (singVals[k] == left) singVals[k] *= 1 + NumTraits<RealScalar>::epsilon();
+//     if (singVals[k] == right) singVals[k] *= 1 - NumTraits<RealScalar>::epsilon();
+  }
+}
+
+
+// zhat is perturbation of col0 for which singular vectors can be computed stably (see Section 3.1)
+template <typename MatrixType>
+void BDCSVD<MatrixType>::perturbCol0
+   (const ArrayRef& col0, const ArrayRef& diag, const IndicesRef &perm, const VectorType& singVals,
+    const ArrayRef& shifts, const ArrayRef& mus, ArrayRef zhat)
+{
+  using std::sqrt;
+  Index n = col0.size();
+  Index m = perm.size();
+  if(m==0)
+  {
+    zhat.setZero();
+    return;
+  }
+  Index last = perm(m-1);
+  // The offset permits to skip deflated entries while computing zhat
+  for (Index k = 0; k < n; ++k)
+  {
+    if (col0(k) == Literal(0)) // deflated
+      zhat(k) = Literal(0);
+    else
+    {
+      // see equation (3.6)
+      RealScalar dk = diag(k);
+      RealScalar prod = (singVals(last) + dk) * (mus(last) + (shifts(last) - dk));
+
+      for(Index l = 0; l<m; ++l)
+      {
+        Index i = perm(l);
+        if(i!=k)
+        {
+          Index j = i<k ? i : perm(l-1);
+          prod *= ((singVals(j)+dk) / ((diag(i)+dk))) * ((mus(j)+(shifts(j)-dk)) / ((diag(i)-dk)));
+#ifdef EIGEN_BDCSVD_DEBUG_VERBOSE
+          if(i!=k && numext::abs(((singVals(j)+dk)*(mus(j)+(shifts(j)-dk)))/((diag(i)+dk)*(diag(i)-dk)) - 1) > 0.9 )
+            std::cout << "     " << ((singVals(j)+dk)*(mus(j)+(shifts(j)-dk)))/((diag(i)+dk)*(diag(i)-dk)) << " == (" << (singVals(j)+dk) << " * " << (mus(j)+(shifts(j)-dk))
+                       << ") / (" << (diag(i)+dk) << " * " << (diag(i)-dk) << ")\n";
+#endif
+        }
+      }
+#ifdef EIGEN_BDCSVD_DEBUG_VERBOSE
+      std::cout << "zhat(" << k << ") =  sqrt( " << prod << ")  ;  " << (singVals(last) + dk) << " * " << mus(last) + shifts(last) << " - " << dk << "\n";
+#endif
+      RealScalar tmp = sqrt(prod);
+      zhat(k) = col0(k) > Literal(0) ? RealScalar(tmp) : RealScalar(-tmp);
+    }
+  }
+}
+
+// compute singular vectors
+template <typename MatrixType>
+void BDCSVD<MatrixType>::computeSingVecs
+   (const ArrayRef& zhat, const ArrayRef& diag, const IndicesRef &perm, const VectorType& singVals,
+    const ArrayRef& shifts, const ArrayRef& mus, MatrixXr& U, MatrixXr& V)
+{
+  Index n = zhat.size();
+  Index m = perm.size();
+  
+  for (Index k = 0; k < n; ++k)
+  {
+    if (zhat(k) == Literal(0))
+    {
+      U.col(k) = VectorType::Unit(n+1, k);
+      if (m_compV) V.col(k) = VectorType::Unit(n, k);
+    }
+    else
+    {
+      U.col(k).setZero();
+      for(Index l=0;l<m;++l)
+      {
+        Index i = perm(l);
+        U(i,k) = zhat(i)/(((diag(i) - shifts(k)) - mus(k)) )/( (diag(i) + singVals[k]));
+      }
+      U(n,k) = Literal(0);
+      U.col(k).normalize();
+    
+      if (m_compV)
+      {
+        V.col(k).setZero();
+        for(Index l=1;l<m;++l)
+        {
+          Index i = perm(l);
+          V(i,k) = diag(i) * zhat(i) / (((diag(i) - shifts(k)) - mus(k)) )/( (diag(i) + singVals[k]));
+        }
+        V(0,k) = Literal(-1);
+        V.col(k).normalize();
+      }
+    }
+  }
+  U.col(n) = VectorType::Unit(n+1, n);
+}
+
+
+// page 12_13
+// i >= 1, di almost null and zi non null.
+// We use a rotation to zero out zi applied to the left of M
+template <typename MatrixType>
+void BDCSVD<MatrixType>::deflation43(Index firstCol, Index shift, Index i, Index size)
+{
+  using std::abs;
+  using std::sqrt;
+  using std::pow;
+  Index start = firstCol + shift;
+  RealScalar c = m_computed(start, start);
+  RealScalar s = m_computed(start+i, start);
+  RealScalar r = numext::hypot(c,s);
+  if (r == Literal(0))
+  {
+    m_computed(start+i, start+i) = Literal(0);
+    return;
+  }
+  m_computed(start,start) = r;  
+  m_computed(start+i, start) = Literal(0);
+  m_computed(start+i, start+i) = Literal(0);
+  
+  JacobiRotation<RealScalar> J(c/r,-s/r);
+  if (m_compU)  m_naiveU.middleRows(firstCol, size+1).applyOnTheRight(firstCol, firstCol+i, J);
+  else          m_naiveU.applyOnTheRight(firstCol, firstCol+i, J);
+}// end deflation 43
+
+
+// page 13
+// i,j >= 1, i!=j and |di - dj| < epsilon * norm2(M)
+// We apply two rotations to have zj = 0;
+// TODO deflation44 is still broken and not properly tested
+template <typename MatrixType>
+void BDCSVD<MatrixType>::deflation44(Index firstColu , Index firstColm, Index firstRowW, Index firstColW, Index i, Index j, Index size)
+{
+  using std::abs;
+  using std::sqrt;
+  using std::conj;
+  using std::pow;
+  RealScalar c = m_computed(firstColm+i, firstColm);
+  RealScalar s = m_computed(firstColm+j, firstColm);
+  RealScalar r = sqrt(numext::abs2(c) + numext::abs2(s));
+#ifdef  EIGEN_BDCSVD_DEBUG_VERBOSE
+  std::cout << "deflation 4.4: " << i << "," << j << " -> " << c << " " << s << " " << r << " ; "
+    << m_computed(firstColm + i-1, firstColm)  << " "
+    << m_computed(firstColm + i, firstColm)  << " "
+    << m_computed(firstColm + i+1, firstColm) << " "
+    << m_computed(firstColm + i+2, firstColm) << "\n";
+  std::cout << m_computed(firstColm + i-1, firstColm + i-1)  << " "
+    << m_computed(firstColm + i, firstColm+i)  << " "
+    << m_computed(firstColm + i+1, firstColm+i+1) << " "
+    << m_computed(firstColm + i+2, firstColm+i+2) << "\n";
+#endif
+  if (r==Literal(0))
+  {
+    m_computed(firstColm + i, firstColm + i) = m_computed(firstColm + j, firstColm + j);
+    return;
+  }
+  c/=r;
+  s/=r;
+  m_computed(firstColm + i, firstColm) = r;  
+  m_computed(firstColm + j, firstColm + j) = m_computed(firstColm + i, firstColm + i);
+  m_computed(firstColm + j, firstColm) = Literal(0);
+
+  JacobiRotation<RealScalar> J(c,-s);
+  if (m_compU)  m_naiveU.middleRows(firstColu, size+1).applyOnTheRight(firstColu + i, firstColu + j, J);
+  else          m_naiveU.applyOnTheRight(firstColu+i, firstColu+j, J);
+  if (m_compV)  m_naiveV.middleRows(firstRowW, size).applyOnTheRight(firstColW + i, firstColW + j, J);
+}// end deflation 44
+
+
+// acts on block from (firstCol+shift, firstCol+shift) to (lastCol+shift, lastCol+shift) [inclusive]
+template <typename MatrixType>
+void BDCSVD<MatrixType>::deflation(Index firstCol, Index lastCol, Index k, Index firstRowW, Index firstColW, Index shift)
+{
+  using std::sqrt;
+  using std::abs;
+  const Index length = lastCol + 1 - firstCol;
+  
+  Block<MatrixXr,Dynamic,1> col0(m_computed, firstCol+shift, firstCol+shift, length, 1);
+  Diagonal<MatrixXr> fulldiag(m_computed);
+  VectorBlock<Diagonal<MatrixXr>,Dynamic> diag(fulldiag, firstCol+shift, length);
+  
+  const RealScalar considerZero = (std::numeric_limits<RealScalar>::min)();
+  RealScalar maxDiag = diag.tail((std::max)(Index(1),length-1)).cwiseAbs().maxCoeff();
+  RealScalar epsilon_strict = numext::maxi<RealScalar>(considerZero,NumTraits<RealScalar>::epsilon() * maxDiag);
+  RealScalar epsilon_coarse = Literal(8) * NumTraits<RealScalar>::epsilon() * numext::maxi<RealScalar>(col0.cwiseAbs().maxCoeff(), maxDiag);
+  
+#ifdef EIGEN_BDCSVD_SANITY_CHECKS
+  assert(m_naiveU.allFinite());
+  assert(m_naiveV.allFinite());
+  assert(m_computed.allFinite());
+#endif
+
+#ifdef  EIGEN_BDCSVD_DEBUG_VERBOSE  
+  std::cout << "\ndeflate:" << diag.head(k+1).transpose() << "  |  " << diag.segment(k+1,length-k-1).transpose() << "\n";
+#endif
+  
+  //condition 4.1
+  if (diag(0) < epsilon_coarse)
+  { 
+#ifdef  EIGEN_BDCSVD_DEBUG_VERBOSE
+    std::cout << "deflation 4.1, because " << diag(0) << " < " << epsilon_coarse << "\n";
+#endif
+    diag(0) = epsilon_coarse;
+  }
+
+  //condition 4.2
+  for (Index i=1;i<length;++i)
+    if (abs(col0(i)) < epsilon_strict)
+    {
+#ifdef  EIGEN_BDCSVD_DEBUG_VERBOSE
+      std::cout << "deflation 4.2, set z(" << i << ") to zero because " << abs(col0(i)) << " < " << epsilon_strict << "  (diag(" << i << ")=" << diag(i) << ")\n";
+#endif
+      col0(i) = Literal(0);
+    }
+
+  //condition 4.3
+  for (Index i=1;i<length; i++)
+    if (diag(i) < epsilon_coarse)
+    {
+#ifdef  EIGEN_BDCSVD_DEBUG_VERBOSE
+      std::cout << "deflation 4.3, cancel z(" << i << ")=" << col0(i) << " because diag(" << i << ")=" << diag(i) << " < " << epsilon_coarse << "\n";
+#endif
+      deflation43(firstCol, shift, i, length);
+    }
+
+#ifdef EIGEN_BDCSVD_SANITY_CHECKS
+  assert(m_naiveU.allFinite());
+  assert(m_naiveV.allFinite());
+  assert(m_computed.allFinite());
+#endif
+#ifdef EIGEN_BDCSVD_DEBUG_VERBOSE
+  std::cout << "to be sorted: " << diag.transpose() << "\n\n";
+#endif
+  {
+    // Check for total deflation
+    // If we have a total deflation, then we have to consider col0(0)==diag(0) as a singular value during sorting
+    bool total_deflation = (col0.tail(length-1).array()<considerZero).all();
+    
+    // Sort the diagonal entries, since diag(1:k-1) and diag(k:length) are already sorted, let's do a sorted merge.
+    // First, compute the respective permutation.
+    Index *permutation = m_workspaceI.data();
+    {
+      permutation[0] = 0;
+      Index p = 1;
+      
+      // Move deflated diagonal entries at the end.
+      for(Index i=1; i<length; ++i)
+        if(abs(diag(i))<considerZero)
+          permutation[p++] = i;
+        
+      Index i=1, j=k+1;
+      for( ; p < length; ++p)
+      {
+             if (i > k)             permutation[p] = j++;
+        else if (j >= length)       permutation[p] = i++;
+        else if (diag(i) < diag(j)) permutation[p] = j++;
+        else                        permutation[p] = i++;
+      }
+    }
+    
+    // If we have a total deflation, then we have to insert diag(0) at the right place
+    if(total_deflation)
+    {
+      for(Index i=1; i<length; ++i)
+      {
+        Index pi = permutation[i];
+        if(abs(diag(pi))<considerZero || diag(0)<diag(pi))
+          permutation[i-1] = permutation[i];
+        else
+        {
+          permutation[i-1] = 0;
+          break;
+        }
+      }
+    }
+    
+    // Current index of each col, and current column of each index
+    Index *realInd = m_workspaceI.data()+length;
+    Index *realCol = m_workspaceI.data()+2*length;
+    
+    for(int pos = 0; pos< length; pos++)
+    {
+      realCol[pos] = pos;
+      realInd[pos] = pos;
+    }
+    
+    for(Index i = total_deflation?0:1; i < length; i++)
+    {
+      const Index pi = permutation[length - (total_deflation ? i+1 : i)];
+      const Index J = realCol[pi];
+      
+      using std::swap;
+      // swap diagonal and first column entries:
+      swap(diag(i), diag(J));
+      if(i!=0 && J!=0) swap(col0(i), col0(J));
+
+      // change columns
+      if (m_compU) m_naiveU.col(firstCol+i).segment(firstCol, length + 1).swap(m_naiveU.col(firstCol+J).segment(firstCol, length + 1));
+      else         m_naiveU.col(firstCol+i).segment(0, 2)                .swap(m_naiveU.col(firstCol+J).segment(0, 2));
+      if (m_compV) m_naiveV.col(firstColW + i).segment(firstRowW, length).swap(m_naiveV.col(firstColW + J).segment(firstRowW, length));
+
+      //update real pos
+      const Index realI = realInd[i];
+      realCol[realI] = J;
+      realCol[pi] = i;
+      realInd[J] = realI;
+      realInd[i] = pi;
+    }
+  }
+#ifdef EIGEN_BDCSVD_DEBUG_VERBOSE
+  std::cout << "sorted: " << diag.transpose().format(bdcsvdfmt) << "\n";
+  std::cout << "      : " << col0.transpose() << "\n\n";
+#endif
+    
+  //condition 4.4
+  {
+    Index i = length-1;
+    while(i>0 && (abs(diag(i))<considerZero || abs(col0(i))<considerZero)) --i;
+    for(; i>1;--i)
+       if( (diag(i) - diag(i-1)) < NumTraits<RealScalar>::epsilon()*maxDiag )
+      {
+#ifdef EIGEN_BDCSVD_DEBUG_VERBOSE
+        std::cout << "deflation 4.4 with i = " << i << " because " << (diag(i) - diag(i-1)) << " < " << NumTraits<RealScalar>::epsilon()*diag(i) << "\n";
+#endif
+        eigen_internal_assert(abs(diag(i) - diag(i-1))<epsilon_coarse && " diagonal entries are not properly sorted");
+        deflation44(firstCol, firstCol + shift, firstRowW, firstColW, i-1, i, length);
+      }
+  }
+  
+#ifdef EIGEN_BDCSVD_SANITY_CHECKS
+  for(Index j=2;j<length;++j)
+    assert(diag(j-1)<=diag(j) || abs(diag(j))<considerZero);
+#endif
+  
+#ifdef EIGEN_BDCSVD_SANITY_CHECKS
+  assert(m_naiveU.allFinite());
+  assert(m_naiveV.allFinite());
+  assert(m_computed.allFinite());
+#endif
+}//end deflation
+
+#ifndef __CUDACC__
+/** \svd_module
+  *
+  * \return the singular value decomposition of \c *this computed by Divide & Conquer algorithm
+  *
+  * \sa class BDCSVD
+  */
+template<typename Derived>
+BDCSVD<typename MatrixBase<Derived>::PlainObject>
+MatrixBase<Derived>::bdcSvd(unsigned int computationOptions) const
+{
+  return BDCSVD<PlainObject>(*this, computationOptions);
+}
+#endif
+
+} // end namespace Eigen
+
+#endif
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/SVD/SVDBase.h
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/SVD/SVDBase.h	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/SVD/SVDBase.h	(revision 3761)
@@ -0,0 +1,315 @@
+// This file is part of Eigen, a lightweight C++ template library
+// for linear algebra.
+//
+// Copyright (C) 2009-2010 Benoit Jacob <jacob.benoit.1@gmail.com>
+// Copyright (C) 2014 Gael Guennebaud <gael.guennebaud@inria.fr>
+//
+// Copyright (C) 2013 Gauthier Brun <brun.gauthier@gmail.com>
+// Copyright (C) 2013 Nicolas Carre <nicolas.carre@ensimag.fr>
+// Copyright (C) 2013 Jean Ceccato <jean.ceccato@ensimag.fr>
+// Copyright (C) 2013 Pierre Zoppitelli <pierre.zoppitelli@ensimag.fr>
+//
+// This Source Code Form is subject to the terms of the Mozilla
+// Public License v. 2.0. If a copy of the MPL was not distributed
+// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
+
+#ifndef EIGEN_SVDBASE_H
+#define EIGEN_SVDBASE_H
+
+namespace Eigen {
+/** \ingroup SVD_Module
+ *
+ *
+ * \class SVDBase
+ *
+ * \brief Base class of SVD algorithms
+ *
+ * \tparam Derived the type of the actual SVD decomposition
+ *
+ * SVD decomposition consists in decomposing any n-by-p matrix \a A as a product
+ *   \f[ A = U S V^* \f]
+ * where \a U is a n-by-n unitary, \a V is a p-by-p unitary, and \a S is a n-by-p real positive matrix which is zero outside of its main diagonal;
+ * the diagonal entries of S are known as the \em singular \em values of \a A and the columns of \a U and \a V are known as the left
+ * and right \em singular \em vectors of \a A respectively.
+ *
+ * Singular values are always sorted in decreasing order.
+ *
+ * 
+ * You can ask for only \em thin \a U or \a V to be computed, meaning the following. In case of a rectangular n-by-p matrix, letting \a m be the
+ * smaller value among \a n and \a p, there are only \a m singular vectors; the remaining columns of \a U and \a V do not correspond to actual
+ * singular vectors. Asking for \em thin \a U or \a V means asking for only their \a m first columns to be formed. So \a U is then a n-by-m matrix,
+ * and \a V is then a p-by-m matrix. Notice that thin \a U and \a V are all you need for (least squares) solving.
+ *  
+ * If the input matrix has inf or nan coefficients, the result of the computation is undefined, but the computation is guaranteed to
+ * terminate in finite (and reasonable) time.
+ * \sa class BDCSVD, class JacobiSVD
+ */
+template<typename Derived>
+class SVDBase
+{
+
+public:
+  typedef typename internal::traits<Derived>::MatrixType MatrixType;
+  typedef typename MatrixType::Scalar Scalar;
+  typedef typename NumTraits<typename MatrixType::Scalar>::Real RealScalar;
+  typedef typename MatrixType::StorageIndex StorageIndex;
+  typedef Eigen::Index Index; ///< \deprecated since Eigen 3.3
+  enum {
+    RowsAtCompileTime = MatrixType::RowsAtCompileTime,
+    ColsAtCompileTime = MatrixType::ColsAtCompileTime,
+    DiagSizeAtCompileTime = EIGEN_SIZE_MIN_PREFER_DYNAMIC(RowsAtCompileTime,ColsAtCompileTime),
+    MaxRowsAtCompileTime = MatrixType::MaxRowsAtCompileTime,
+    MaxColsAtCompileTime = MatrixType::MaxColsAtCompileTime,
+    MaxDiagSizeAtCompileTime = EIGEN_SIZE_MIN_PREFER_FIXED(MaxRowsAtCompileTime,MaxColsAtCompileTime),
+    MatrixOptions = MatrixType::Options
+  };
+
+  typedef Matrix<Scalar, RowsAtCompileTime, RowsAtCompileTime, MatrixOptions, MaxRowsAtCompileTime, MaxRowsAtCompileTime> MatrixUType;
+  typedef Matrix<Scalar, ColsAtCompileTime, ColsAtCompileTime, MatrixOptions, MaxColsAtCompileTime, MaxColsAtCompileTime> MatrixVType;
+  typedef typename internal::plain_diag_type<MatrixType, RealScalar>::type SingularValuesType;
+  
+  Derived& derived() { return *static_cast<Derived*>(this); }
+  const Derived& derived() const { return *static_cast<const Derived*>(this); }
+
+  /** \returns the \a U matrix.
+   *
+   * For the SVD decomposition of a n-by-p matrix, letting \a m be the minimum of \a n and \a p,
+   * the U matrix is n-by-n if you asked for \link Eigen::ComputeFullU ComputeFullU \endlink, and is n-by-m if you asked for \link Eigen::ComputeThinU ComputeThinU \endlink.
+   *
+   * The \a m first columns of \a U are the left singular vectors of the matrix being decomposed.
+   *
+   * This method asserts that you asked for \a U to be computed.
+   */
+  const MatrixUType& matrixU() const
+  {
+    eigen_assert(m_isInitialized && "SVD is not initialized.");
+    eigen_assert(computeU() && "This SVD decomposition didn't compute U. Did you ask for it?");
+    return m_matrixU;
+  }
+
+  /** \returns the \a V matrix.
+   *
+   * For the SVD decomposition of a n-by-p matrix, letting \a m be the minimum of \a n and \a p,
+   * the V matrix is p-by-p if you asked for \link Eigen::ComputeFullV ComputeFullV \endlink, and is p-by-m if you asked for \link Eigen::ComputeThinV ComputeThinV \endlink.
+   *
+   * The \a m first columns of \a V are the right singular vectors of the matrix being decomposed.
+   *
+   * This method asserts that you asked for \a V to be computed.
+   */
+  const MatrixVType& matrixV() const
+  {
+    eigen_assert(m_isInitialized && "SVD is not initialized.");
+    eigen_assert(computeV() && "This SVD decomposition didn't compute V. Did you ask for it?");
+    return m_matrixV;
+  }
+
+  /** \returns the vector of singular values.
+   *
+   * For the SVD decomposition of a n-by-p matrix, letting \a m be the minimum of \a n and \a p, the
+   * returned vector has size \a m.  Singular values are always sorted in decreasing order.
+   */
+  const SingularValuesType& singularValues() const
+  {
+    eigen_assert(m_isInitialized && "SVD is not initialized.");
+    return m_singularValues;
+  }
+
+  /** \returns the number of singular values that are not exactly 0 */
+  Index nonzeroSingularValues() const
+  {
+    eigen_assert(m_isInitialized && "SVD is not initialized.");
+    return m_nonzeroSingularValues;
+  }
+  
+  /** \returns the rank of the matrix of which \c *this is the SVD.
+    *
+    * \note This method has to determine which singular values should be considered nonzero.
+    *       For that, it uses the threshold value that you can control by calling
+    *       setThreshold(const RealScalar&).
+    */
+  inline Index rank() const
+  {
+    using std::abs;
+    eigen_assert(m_isInitialized && "JacobiSVD is not initialized.");
+    if(m_singularValues.size()==0) return 0;
+    RealScalar premultiplied_threshold = numext::maxi<RealScalar>(m_singularValues.coeff(0) * threshold(), (std::numeric_limits<RealScalar>::min)());
+    Index i = m_nonzeroSingularValues-1;
+    while(i>=0 && m_singularValues.coeff(i) < premultiplied_threshold) --i;
+    return i+1;
+  }
+  
+  /** Allows to prescribe a threshold to be used by certain methods, such as rank() and solve(),
+    * which need to determine when singular values are to be considered nonzero.
+    * This is not used for the SVD decomposition itself.
+    *
+    * When it needs to get the threshold value, Eigen calls threshold().
+    * The default is \c NumTraits<Scalar>::epsilon()
+    *
+    * \param threshold The new value to use as the threshold.
+    *
+    * A singular value will be considered nonzero if its value is strictly greater than
+    *  \f$ \vert singular value \vert \leqslant threshold \times \vert max singular value \vert \f$.
+    *
+    * If you want to come back to the default behavior, call setThreshold(Default_t)
+    */
+  Derived& setThreshold(const RealScalar& threshold)
+  {
+    m_usePrescribedThreshold = true;
+    m_prescribedThreshold = threshold;
+    return derived();
+  }
+
+  /** Allows to come back to the default behavior, letting Eigen use its default formula for
+    * determining the threshold.
+    *
+    * You should pass the special object Eigen::Default as parameter here.
+    * \code svd.setThreshold(Eigen::Default); \endcode
+    *
+    * See the documentation of setThreshold(const RealScalar&).
+    */
+  Derived& setThreshold(Default_t)
+  {
+    m_usePrescribedThreshold = false;
+    return derived();
+  }
+
+  /** Returns the threshold that will be used by certain methods such as rank().
+    *
+    * See the documentation of setThreshold(const RealScalar&).
+    */
+  RealScalar threshold() const
+  {
+    eigen_assert(m_isInitialized || m_usePrescribedThreshold);
+    // this temporary is needed to workaround a MSVC issue
+    Index diagSize = (std::max<Index>)(1,m_diagSize);
+    return m_usePrescribedThreshold ? m_prescribedThreshold
+                                    : RealScalar(diagSize)*NumTraits<Scalar>::epsilon();
+  }
+
+  /** \returns true if \a U (full or thin) is asked for in this SVD decomposition */
+  inline bool computeU() const { return m_computeFullU || m_computeThinU; }
+  /** \returns true if \a V (full or thin) is asked for in this SVD decomposition */
+  inline bool computeV() const { return m_computeFullV || m_computeThinV; }
+
+  inline Index rows() const { return m_rows; }
+  inline Index cols() const { return m_cols; }
+  
+  /** \returns a (least squares) solution of \f$ A x = b \f$ using the current SVD decomposition of A.
+    *
+    * \param b the right-hand-side of the equation to solve.
+    *
+    * \note Solving requires both U and V to be computed. Thin U and V are enough, there is no need for full U or V.
+    *
+    * \note SVD solving is implicitly least-squares. Thus, this method serves both purposes of exact solving and least-squares solving.
+    * In other words, the returned solution is guaranteed to minimize the Euclidean norm \f$ \Vert A x - b \Vert \f$.
+    */
+  template<typename Rhs>
+  inline const Solve<Derived, Rhs>
+  solve(const MatrixBase<Rhs>& b) const
+  {
+    eigen_assert(m_isInitialized && "SVD is not initialized.");
+    eigen_assert(computeU() && computeV() && "SVD::solve() requires both unitaries U and V to be computed (thin unitaries suffice).");
+    return Solve<Derived, Rhs>(derived(), b.derived());
+  }
+  
+  #ifndef EIGEN_PARSED_BY_DOXYGEN
+  template<typename RhsType, typename DstType>
+  EIGEN_DEVICE_FUNC
+  void _solve_impl(const RhsType &rhs, DstType &dst) const;
+  #endif
+
+protected:
+  
+  static void check_template_parameters()
+  {
+    EIGEN_STATIC_ASSERT_NON_INTEGER(Scalar);
+  }
+  
+  // return true if already allocated
+  bool allocate(Index rows, Index cols, unsigned int computationOptions) ;
+
+  MatrixUType m_matrixU;
+  MatrixVType m_matrixV;
+  SingularValuesType m_singularValues;
+  bool m_isInitialized, m_isAllocated, m_usePrescribedThreshold;
+  bool m_computeFullU, m_computeThinU;
+  bool m_computeFullV, m_computeThinV;
+  unsigned int m_computationOptions;
+  Index m_nonzeroSingularValues, m_rows, m_cols, m_diagSize;
+  RealScalar m_prescribedThreshold;
+
+  /** \brief Default Constructor.
+   *
+   * Default constructor of SVDBase
+   */
+  SVDBase()
+    : m_isInitialized(false),
+      m_isAllocated(false),
+      m_usePrescribedThreshold(false),
+      m_computationOptions(0),
+      m_rows(-1), m_cols(-1), m_diagSize(0)
+  {
+    check_template_parameters();
+  }
+
+
+};
+
+#ifndef EIGEN_PARSED_BY_DOXYGEN
+template<typename Derived>
+template<typename RhsType, typename DstType>
+void SVDBase<Derived>::_solve_impl(const RhsType &rhs, DstType &dst) const
+{
+  eigen_assert(rhs.rows() == rows());
+
+  // A = U S V^*
+  // So A^{-1} = V S^{-1} U^*
+
+  Matrix<Scalar, Dynamic, RhsType::ColsAtCompileTime, 0, MatrixType::MaxRowsAtCompileTime, RhsType::MaxColsAtCompileTime> tmp;
+  Index l_rank = rank();
+  tmp.noalias() =  m_matrixU.leftCols(l_rank).adjoint() * rhs;
+  tmp = m_singularValues.head(l_rank).asDiagonal().inverse() * tmp;
+  dst = m_matrixV.leftCols(l_rank) * tmp;
+}
+#endif
+
+template<typename MatrixType>
+bool SVDBase<MatrixType>::allocate(Index rows, Index cols, unsigned int computationOptions)
+{
+  eigen_assert(rows >= 0 && cols >= 0);
+
+  if (m_isAllocated &&
+      rows == m_rows &&
+      cols == m_cols &&
+      computationOptions == m_computationOptions)
+  {
+    return true;
+  }
+
+  m_rows = rows;
+  m_cols = cols;
+  m_isInitialized = false;
+  m_isAllocated = true;
+  m_computationOptions = computationOptions;
+  m_computeFullU = (computationOptions & ComputeFullU) != 0;
+  m_computeThinU = (computationOptions & ComputeThinU) != 0;
+  m_computeFullV = (computationOptions & ComputeFullV) != 0;
+  m_computeThinV = (computationOptions & ComputeThinV) != 0;
+  eigen_assert(!(m_computeFullU && m_computeThinU) && "SVDBase: you can't ask for both full and thin U");
+  eigen_assert(!(m_computeFullV && m_computeThinV) && "SVDBase: you can't ask for both full and thin V");
+  eigen_assert(EIGEN_IMPLIES(m_computeThinU || m_computeThinV, MatrixType::ColsAtCompileTime==Dynamic) &&
+	       "SVDBase: thin U and V are only available when your matrix has a dynamic number of columns.");
+
+  m_diagSize = (std::min)(m_rows, m_cols);
+  m_singularValues.resize(m_diagSize);
+  if(RowsAtCompileTime==Dynamic)
+    m_matrixU.resize(m_rows, m_computeFullU ? m_rows : m_computeThinU ? m_diagSize : 0);
+  if(ColsAtCompileTime==Dynamic)
+    m_matrixV.resize(m_cols, m_computeFullV ? m_cols : m_computeThinV ? m_diagSize : 0);
+
+  return false;
+}
+
+}// end namespace
+
+#endif // EIGEN_SVDBASE_H
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/SuperLUSupport/SuperLUSupport.h
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/SuperLUSupport/SuperLUSupport.h	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/SuperLUSupport/SuperLUSupport.h	(revision 3761)
@@ -0,0 +1,1027 @@
+// This file is part of Eigen, a lightweight C++ template library
+// for linear algebra.
+//
+// Copyright (C) 2008-2015 Gael Guennebaud <gael.guennebaud@inria.fr>
+//
+// This Source Code Form is subject to the terms of the Mozilla
+// Public License v. 2.0. If a copy of the MPL was not distributed
+// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
+
+#ifndef EIGEN_SUPERLUSUPPORT_H
+#define EIGEN_SUPERLUSUPPORT_H
+
+namespace Eigen {
+
+#if defined(SUPERLU_MAJOR_VERSION) && (SUPERLU_MAJOR_VERSION >= 5)
+#define DECL_GSSVX(PREFIX,FLOATTYPE,KEYTYPE)		\
+    extern "C" {                                                                                          \
+      extern void PREFIX##gssvx(superlu_options_t *, SuperMatrix *, int *, int *, int *,                  \
+                                char *, FLOATTYPE *, FLOATTYPE *, SuperMatrix *, SuperMatrix *,           \
+                                void *, int, SuperMatrix *, SuperMatrix *,                                \
+                                FLOATTYPE *, FLOATTYPE *, FLOATTYPE *, FLOATTYPE *,                       \
+                                GlobalLU_t *, mem_usage_t *, SuperLUStat_t *, int *);                     \
+    }                                                                                                     \
+    inline float SuperLU_gssvx(superlu_options_t *options, SuperMatrix *A,                                \
+         int *perm_c, int *perm_r, int *etree, char *equed,                                               \
+         FLOATTYPE *R, FLOATTYPE *C, SuperMatrix *L,                                                      \
+         SuperMatrix *U, void *work, int lwork,                                                           \
+         SuperMatrix *B, SuperMatrix *X,                                                                  \
+         FLOATTYPE *recip_pivot_growth,                                                                   \
+         FLOATTYPE *rcond, FLOATTYPE *ferr, FLOATTYPE *berr,                                              \
+         SuperLUStat_t *stats, int *info, KEYTYPE) {                                                      \
+    mem_usage_t mem_usage;                                                                                \
+    GlobalLU_t gLU;                                                                                       \
+    PREFIX##gssvx(options, A, perm_c, perm_r, etree, equed, R, C, L,                                      \
+         U, work, lwork, B, X, recip_pivot_growth, rcond,                                                 \
+         ferr, berr, &gLU, &mem_usage, stats, info);                                                      \
+    return mem_usage.for_lu; /* bytes used by the factor storage */                                       \
+  }
+#else // version < 5.0
+#define DECL_GSSVX(PREFIX,FLOATTYPE,KEYTYPE)		\
+    extern "C" {                                                                                          \
+      extern void PREFIX##gssvx(superlu_options_t *, SuperMatrix *, int *, int *, int *,                  \
+                                char *, FLOATTYPE *, FLOATTYPE *, SuperMatrix *, SuperMatrix *,           \
+                                void *, int, SuperMatrix *, SuperMatrix *,                                \
+                                FLOATTYPE *, FLOATTYPE *, FLOATTYPE *, FLOATTYPE *,                       \
+                                mem_usage_t *, SuperLUStat_t *, int *);                                   \
+    }                                                                                                     \
+    inline float SuperLU_gssvx(superlu_options_t *options, SuperMatrix *A,                                \
+         int *perm_c, int *perm_r, int *etree, char *equed,                                               \
+         FLOATTYPE *R, FLOATTYPE *C, SuperMatrix *L,                                                      \
+         SuperMatrix *U, void *work, int lwork,                                                           \
+         SuperMatrix *B, SuperMatrix *X,                                                                  \
+         FLOATTYPE *recip_pivot_growth,                                                                   \
+         FLOATTYPE *rcond, FLOATTYPE *ferr, FLOATTYPE *berr,                                              \
+         SuperLUStat_t *stats, int *info, KEYTYPE) {                                                      \
+    mem_usage_t mem_usage;                                                                                \
+    PREFIX##gssvx(options, A, perm_c, perm_r, etree, equed, R, C, L,                                      \
+         U, work, lwork, B, X, recip_pivot_growth, rcond,                                                 \
+         ferr, berr, &mem_usage, stats, info);                                                            \
+    return mem_usage.for_lu; /* bytes used by the factor storage */                                       \
+  }
+#endif
+
+DECL_GSSVX(s,float,float)
+DECL_GSSVX(c,float,std::complex<float>)
+DECL_GSSVX(d,double,double)
+DECL_GSSVX(z,double,std::complex<double>)
+
+#ifdef MILU_ALPHA
+#define EIGEN_SUPERLU_HAS_ILU
+#endif
+
+#ifdef EIGEN_SUPERLU_HAS_ILU
+
+// similarly for the incomplete factorization using gsisx
+#define DECL_GSISX(PREFIX,FLOATTYPE,KEYTYPE)                                                    \
+    extern "C" {                                                                                \
+      extern void PREFIX##gsisx(superlu_options_t *, SuperMatrix *, int *, int *, int *,        \
+                         char *, FLOATTYPE *, FLOATTYPE *, SuperMatrix *, SuperMatrix *,        \
+                         void *, int, SuperMatrix *, SuperMatrix *, FLOATTYPE *, FLOATTYPE *,   \
+                         mem_usage_t *, SuperLUStat_t *, int *);                        \
+    }                                                                                           \
+    inline float SuperLU_gsisx(superlu_options_t *options, SuperMatrix *A,                      \
+         int *perm_c, int *perm_r, int *etree, char *equed,                                     \
+         FLOATTYPE *R, FLOATTYPE *C, SuperMatrix *L,                                            \
+         SuperMatrix *U, void *work, int lwork,                                                 \
+         SuperMatrix *B, SuperMatrix *X,                                                        \
+         FLOATTYPE *recip_pivot_growth,                                                         \
+         FLOATTYPE *rcond,                                                                      \
+         SuperLUStat_t *stats, int *info, KEYTYPE) {                                            \
+    mem_usage_t mem_usage;                                                              \
+    PREFIX##gsisx(options, A, perm_c, perm_r, etree, equed, R, C, L,                            \
+         U, work, lwork, B, X, recip_pivot_growth, rcond,                                       \
+         &mem_usage, stats, info);                                                              \
+    return mem_usage.for_lu; /* bytes used by the factor storage */                             \
+  }
+
+DECL_GSISX(s,float,float)
+DECL_GSISX(c,float,std::complex<float>)
+DECL_GSISX(d,double,double)
+DECL_GSISX(z,double,std::complex<double>)
+
+#endif
+
+template<typename MatrixType>
+struct SluMatrixMapHelper;
+
+/** \internal
+  *
+  * A wrapper class for SuperLU matrices. It supports only compressed sparse matrices
+  * and dense matrices. Supernodal and other fancy format are not supported by this wrapper.
+  *
+  * This wrapper class mainly aims to avoids the need of dynamic allocation of the storage structure.
+  */
+struct SluMatrix : SuperMatrix
+{
+  SluMatrix()
+  {
+    Store = &storage;
+  }
+
+  SluMatrix(const SluMatrix& other)
+    : SuperMatrix(other)
+  {
+    Store = &storage;
+    storage = other.storage;
+  }
+
+  SluMatrix& operator=(const SluMatrix& other)
+  {
+    SuperMatrix::operator=(static_cast<const SuperMatrix&>(other));
+    Store = &storage;
+    storage = other.storage;
+    return *this;
+  }
+
+  struct
+  {
+    union {int nnz;int lda;};
+    void *values;
+    int *innerInd;
+    int *outerInd;
+  } storage;
+
+  void setStorageType(Stype_t t)
+  {
+    Stype = t;
+    if (t==SLU_NC || t==SLU_NR || t==SLU_DN)
+      Store = &storage;
+    else
+    {
+      eigen_assert(false && "storage type not supported");
+      Store = 0;
+    }
+  }
+
+  template<typename Scalar>
+  void setScalarType()
+  {
+    if (internal::is_same<Scalar,float>::value)
+      Dtype = SLU_S;
+    else if (internal::is_same<Scalar,double>::value)
+      Dtype = SLU_D;
+    else if (internal::is_same<Scalar,std::complex<float> >::value)
+      Dtype = SLU_C;
+    else if (internal::is_same<Scalar,std::complex<double> >::value)
+      Dtype = SLU_Z;
+    else
+    {
+      eigen_assert(false && "Scalar type not supported by SuperLU");
+    }
+  }
+
+  template<typename MatrixType>
+  static SluMatrix Map(MatrixBase<MatrixType>& _mat)
+  {
+    MatrixType& mat(_mat.derived());
+    eigen_assert( ((MatrixType::Flags&RowMajorBit)!=RowMajorBit) && "row-major dense matrices are not supported by SuperLU");
+    SluMatrix res;
+    res.setStorageType(SLU_DN);
+    res.setScalarType<typename MatrixType::Scalar>();
+    res.Mtype     = SLU_GE;
+
+    res.nrow      = internal::convert_index<int>(mat.rows());
+    res.ncol      = internal::convert_index<int>(mat.cols());
+
+    res.storage.lda       = internal::convert_index<int>(MatrixType::IsVectorAtCompileTime ? mat.size() : mat.outerStride());
+    res.storage.values    = (void*)(mat.data());
+    return res;
+  }
+
+  template<typename MatrixType>
+  static SluMatrix Map(SparseMatrixBase<MatrixType>& a_mat)
+  {
+    MatrixType &mat(a_mat.derived());
+    SluMatrix res;
+    if ((MatrixType::Flags&RowMajorBit)==RowMajorBit)
+    {
+      res.setStorageType(SLU_NR);
+      res.nrow      = internal::convert_index<int>(mat.cols());
+      res.ncol      = internal::convert_index<int>(mat.rows());
+    }
+    else
+    {
+      res.setStorageType(SLU_NC);
+      res.nrow      = internal::convert_index<int>(mat.rows());
+      res.ncol      = internal::convert_index<int>(mat.cols());
+    }
+
+    res.Mtype       = SLU_GE;
+
+    res.storage.nnz       = internal::convert_index<int>(mat.nonZeros());
+    res.storage.values    = mat.valuePtr();
+    res.storage.innerInd  = mat.innerIndexPtr();
+    res.storage.outerInd  = mat.outerIndexPtr();
+
+    res.setScalarType<typename MatrixType::Scalar>();
+
+    // FIXME the following is not very accurate
+    if (MatrixType::Flags & Upper)
+      res.Mtype = SLU_TRU;
+    if (MatrixType::Flags & Lower)
+      res.Mtype = SLU_TRL;
+
+    eigen_assert(((MatrixType::Flags & SelfAdjoint)==0) && "SelfAdjoint matrix shape not supported by SuperLU");
+
+    return res;
+  }
+};
+
+template<typename Scalar, int Rows, int Cols, int Options, int MRows, int MCols>
+struct SluMatrixMapHelper<Matrix<Scalar,Rows,Cols,Options,MRows,MCols> >
+{
+  typedef Matrix<Scalar,Rows,Cols,Options,MRows,MCols> MatrixType;
+  static void run(MatrixType& mat, SluMatrix& res)
+  {
+    eigen_assert( ((Options&RowMajor)!=RowMajor) && "row-major dense matrices is not supported by SuperLU");
+    res.setStorageType(SLU_DN);
+    res.setScalarType<Scalar>();
+    res.Mtype     = SLU_GE;
+
+    res.nrow      = mat.rows();
+    res.ncol      = mat.cols();
+
+    res.storage.lda       = mat.outerStride();
+    res.storage.values    = mat.data();
+  }
+};
+
+template<typename Derived>
+struct SluMatrixMapHelper<SparseMatrixBase<Derived> >
+{
+  typedef Derived MatrixType;
+  static void run(MatrixType& mat, SluMatrix& res)
+  {
+    if ((MatrixType::Flags&RowMajorBit)==RowMajorBit)
+    {
+      res.setStorageType(SLU_NR);
+      res.nrow      = mat.cols();
+      res.ncol      = mat.rows();
+    }
+    else
+    {
+      res.setStorageType(SLU_NC);
+      res.nrow      = mat.rows();
+      res.ncol      = mat.cols();
+    }
+
+    res.Mtype       = SLU_GE;
+
+    res.storage.nnz       = mat.nonZeros();
+    res.storage.values    = mat.valuePtr();
+    res.storage.innerInd  = mat.innerIndexPtr();
+    res.storage.outerInd  = mat.outerIndexPtr();
+
+    res.setScalarType<typename MatrixType::Scalar>();
+
+    // FIXME the following is not very accurate
+    if (MatrixType::Flags & Upper)
+      res.Mtype = SLU_TRU;
+    if (MatrixType::Flags & Lower)
+      res.Mtype = SLU_TRL;
+
+    eigen_assert(((MatrixType::Flags & SelfAdjoint)==0) && "SelfAdjoint matrix shape not supported by SuperLU");
+  }
+};
+
+namespace internal {
+
+template<typename MatrixType>
+SluMatrix asSluMatrix(MatrixType& mat)
+{
+  return SluMatrix::Map(mat);
+}
+
+/** View a Super LU matrix as an Eigen expression */
+template<typename Scalar, int Flags, typename Index>
+MappedSparseMatrix<Scalar,Flags,Index> map_superlu(SluMatrix& sluMat)
+{
+  eigen_assert(((Flags&RowMajor)==RowMajor && sluMat.Stype == SLU_NR)
+         || ((Flags&ColMajor)==ColMajor && sluMat.Stype == SLU_NC));
+
+  Index outerSize = (Flags&RowMajor)==RowMajor ? sluMat.ncol : sluMat.nrow;
+
+  return MappedSparseMatrix<Scalar,Flags,Index>(
+    sluMat.nrow, sluMat.ncol, sluMat.storage.outerInd[outerSize],
+    sluMat.storage.outerInd, sluMat.storage.innerInd, reinterpret_cast<Scalar*>(sluMat.storage.values) );
+}
+
+} // end namespace internal
+
+/** \ingroup SuperLUSupport_Module
+  * \class SuperLUBase
+  * \brief The base class for the direct and incomplete LU factorization of SuperLU
+  */
+template<typename _MatrixType, typename Derived>
+class SuperLUBase : public SparseSolverBase<Derived>
+{
+  protected:
+    typedef SparseSolverBase<Derived> Base;
+    using Base::derived;
+    using Base::m_isInitialized;
+  public:
+    typedef _MatrixType MatrixType;
+    typedef typename MatrixType::Scalar Scalar;
+    typedef typename MatrixType::RealScalar RealScalar;
+    typedef typename MatrixType::StorageIndex StorageIndex;
+    typedef Matrix<Scalar,Dynamic,1> Vector;
+    typedef Matrix<int, 1, MatrixType::ColsAtCompileTime> IntRowVectorType;
+    typedef Matrix<int, MatrixType::RowsAtCompileTime, 1> IntColVectorType;    
+    typedef Map<PermutationMatrix<Dynamic,Dynamic,int> > PermutationMap;
+    typedef SparseMatrix<Scalar> LUMatrixType;
+    enum {
+      ColsAtCompileTime = MatrixType::ColsAtCompileTime,
+      MaxColsAtCompileTime = MatrixType::MaxColsAtCompileTime
+    };
+
+  public:
+
+    SuperLUBase() {}
+
+    ~SuperLUBase()
+    {
+      clearFactors();
+    }
+    
+    inline Index rows() const { return m_matrix.rows(); }
+    inline Index cols() const { return m_matrix.cols(); }
+    
+    /** \returns a reference to the Super LU option object to configure the  Super LU algorithms. */
+    inline superlu_options_t& options() { return m_sluOptions; }
+    
+    /** \brief Reports whether previous computation was successful.
+      *
+      * \returns \c Success if computation was succesful,
+      *          \c NumericalIssue if the matrix.appears to be negative.
+      */
+    ComputationInfo info() const
+    {
+      eigen_assert(m_isInitialized && "Decomposition is not initialized.");
+      return m_info;
+    }
+
+    /** Computes the sparse Cholesky decomposition of \a matrix */
+    void compute(const MatrixType& matrix)
+    {
+      derived().analyzePattern(matrix);
+      derived().factorize(matrix);
+    }
+
+    /** Performs a symbolic decomposition on the sparcity of \a matrix.
+      *
+      * This function is particularly useful when solving for several problems having the same structure.
+      * 
+      * \sa factorize()
+      */
+    void analyzePattern(const MatrixType& /*matrix*/)
+    {
+      m_isInitialized = true;
+      m_info = Success;
+      m_analysisIsOk = true;
+      m_factorizationIsOk = false;
+    }
+    
+    template<typename Stream>
+    void dumpMemory(Stream& /*s*/)
+    {}
+    
+  protected:
+    
+    void initFactorization(const MatrixType& a)
+    {
+      set_default_options(&this->m_sluOptions);
+      
+      const Index size = a.rows();
+      m_matrix = a;
+
+      m_sluA = internal::asSluMatrix(m_matrix);
+      clearFactors();
+
+      m_p.resize(size);
+      m_q.resize(size);
+      m_sluRscale.resize(size);
+      m_sluCscale.resize(size);
+      m_sluEtree.resize(size);
+
+      // set empty B and X
+      m_sluB.setStorageType(SLU_DN);
+      m_sluB.setScalarType<Scalar>();
+      m_sluB.Mtype          = SLU_GE;
+      m_sluB.storage.values = 0;
+      m_sluB.nrow           = 0;
+      m_sluB.ncol           = 0;
+      m_sluB.storage.lda    = internal::convert_index<int>(size);
+      m_sluX                = m_sluB;
+      
+      m_extractedDataAreDirty = true;
+    }
+    
+    void init()
+    {
+      m_info = InvalidInput;
+      m_isInitialized = false;
+      m_sluL.Store = 0;
+      m_sluU.Store = 0;
+    }
+    
+    void extractData() const;
+
+    void clearFactors()
+    {
+      if(m_sluL.Store)
+        Destroy_SuperNode_Matrix(&m_sluL);
+      if(m_sluU.Store)
+        Destroy_CompCol_Matrix(&m_sluU);
+
+      m_sluL.Store = 0;
+      m_sluU.Store = 0;
+
+      memset(&m_sluL,0,sizeof m_sluL);
+      memset(&m_sluU,0,sizeof m_sluU);
+    }
+
+    // cached data to reduce reallocation, etc.
+    mutable LUMatrixType m_l;
+    mutable LUMatrixType m_u;
+    mutable IntColVectorType m_p;
+    mutable IntRowVectorType m_q;
+
+    mutable LUMatrixType m_matrix;  // copy of the factorized matrix
+    mutable SluMatrix m_sluA;
+    mutable SuperMatrix m_sluL, m_sluU;
+    mutable SluMatrix m_sluB, m_sluX;
+    mutable SuperLUStat_t m_sluStat;
+    mutable superlu_options_t m_sluOptions;
+    mutable std::vector<int> m_sluEtree;
+    mutable Matrix<RealScalar,Dynamic,1> m_sluRscale, m_sluCscale;
+    mutable Matrix<RealScalar,Dynamic,1> m_sluFerr, m_sluBerr;
+    mutable char m_sluEqued;
+
+    mutable ComputationInfo m_info;
+    int m_factorizationIsOk;
+    int m_analysisIsOk;
+    mutable bool m_extractedDataAreDirty;
+    
+  private:
+    SuperLUBase(SuperLUBase& ) { }
+};
+
+
+/** \ingroup SuperLUSupport_Module
+  * \class SuperLU
+  * \brief A sparse direct LU factorization and solver based on the SuperLU library
+  *
+  * This class allows to solve for A.X = B sparse linear problems via a direct LU factorization
+  * using the SuperLU library. The sparse matrix A must be squared and invertible. The vectors or matrices
+  * X and B can be either dense or sparse.
+  *
+  * \tparam _MatrixType the type of the sparse matrix A, it must be a SparseMatrix<>
+  *
+  * \warning This class is only for the 4.x versions of SuperLU. The 3.x and 5.x versions are not supported.
+  *
+  * \implsparsesolverconcept
+  *
+  * \sa \ref TutorialSparseSolverConcept, class SparseLU
+  */
+template<typename _MatrixType>
+class SuperLU : public SuperLUBase<_MatrixType,SuperLU<_MatrixType> >
+{
+  public:
+    typedef SuperLUBase<_MatrixType,SuperLU> Base;
+    typedef _MatrixType MatrixType;
+    typedef typename Base::Scalar Scalar;
+    typedef typename Base::RealScalar RealScalar;
+    typedef typename Base::StorageIndex StorageIndex;
+    typedef typename Base::IntRowVectorType IntRowVectorType;
+    typedef typename Base::IntColVectorType IntColVectorType;   
+    typedef typename Base::PermutationMap PermutationMap;
+    typedef typename Base::LUMatrixType LUMatrixType;
+    typedef TriangularView<LUMatrixType, Lower|UnitDiag>  LMatrixType;
+    typedef TriangularView<LUMatrixType,  Upper>          UMatrixType;
+
+  public:
+    using Base::_solve_impl;
+
+    SuperLU() : Base() { init(); }
+
+    explicit SuperLU(const MatrixType& matrix) : Base()
+    {
+      init();
+      Base::compute(matrix);
+    }
+
+    ~SuperLU()
+    {
+    }
+    
+    /** Performs a symbolic decomposition on the sparcity of \a matrix.
+      *
+      * This function is particularly useful when solving for several problems having the same structure.
+      * 
+      * \sa factorize()
+      */
+    void analyzePattern(const MatrixType& matrix)
+    {
+      m_info = InvalidInput;
+      m_isInitialized = false;
+      Base::analyzePattern(matrix);
+    }
+    
+    /** Performs a numeric decomposition of \a matrix
+      *
+      * The given matrix must has the same sparcity than the matrix on which the symbolic decomposition has been performed.
+      *
+      * \sa analyzePattern()
+      */
+    void factorize(const MatrixType& matrix);
+    
+    /** \internal */
+    template<typename Rhs,typename Dest>
+    void _solve_impl(const MatrixBase<Rhs> &b, MatrixBase<Dest> &dest) const;
+    
+    inline const LMatrixType& matrixL() const
+    {
+      if (m_extractedDataAreDirty) this->extractData();
+      return m_l;
+    }
+
+    inline const UMatrixType& matrixU() const
+    {
+      if (m_extractedDataAreDirty) this->extractData();
+      return m_u;
+    }
+
+    inline const IntColVectorType& permutationP() const
+    {
+      if (m_extractedDataAreDirty) this->extractData();
+      return m_p;
+    }
+
+    inline const IntRowVectorType& permutationQ() const
+    {
+      if (m_extractedDataAreDirty) this->extractData();
+      return m_q;
+    }
+    
+    Scalar determinant() const;
+    
+  protected:
+    
+    using Base::m_matrix;
+    using Base::m_sluOptions;
+    using Base::m_sluA;
+    using Base::m_sluB;
+    using Base::m_sluX;
+    using Base::m_p;
+    using Base::m_q;
+    using Base::m_sluEtree;
+    using Base::m_sluEqued;
+    using Base::m_sluRscale;
+    using Base::m_sluCscale;
+    using Base::m_sluL;
+    using Base::m_sluU;
+    using Base::m_sluStat;
+    using Base::m_sluFerr;
+    using Base::m_sluBerr;
+    using Base::m_l;
+    using Base::m_u;
+    
+    using Base::m_analysisIsOk;
+    using Base::m_factorizationIsOk;
+    using Base::m_extractedDataAreDirty;
+    using Base::m_isInitialized;
+    using Base::m_info;
+    
+    void init()
+    {
+      Base::init();
+      
+      set_default_options(&this->m_sluOptions);
+      m_sluOptions.PrintStat        = NO;
+      m_sluOptions.ConditionNumber  = NO;
+      m_sluOptions.Trans            = NOTRANS;
+      m_sluOptions.ColPerm          = COLAMD;
+    }
+    
+    
+  private:
+    SuperLU(SuperLU& ) { }
+};
+
+template<typename MatrixType>
+void SuperLU<MatrixType>::factorize(const MatrixType& a)
+{
+  eigen_assert(m_analysisIsOk && "You must first call analyzePattern()");
+  if(!m_analysisIsOk)
+  {
+    m_info = InvalidInput;
+    return;
+  }
+  
+  this->initFactorization(a);
+  
+  m_sluOptions.ColPerm = COLAMD;
+  int info = 0;
+  RealScalar recip_pivot_growth, rcond;
+  RealScalar ferr, berr;
+
+  StatInit(&m_sluStat);
+  SuperLU_gssvx(&m_sluOptions, &m_sluA, m_q.data(), m_p.data(), &m_sluEtree[0],
+                &m_sluEqued, &m_sluRscale[0], &m_sluCscale[0],
+                &m_sluL, &m_sluU,
+                NULL, 0,
+                &m_sluB, &m_sluX,
+                &recip_pivot_growth, &rcond,
+                &ferr, &berr,
+                &m_sluStat, &info, Scalar());
+  StatFree(&m_sluStat);
+
+  m_extractedDataAreDirty = true;
+
+  // FIXME how to better check for errors ???
+  m_info = info == 0 ? Success : NumericalIssue;
+  m_factorizationIsOk = true;
+}
+
+template<typename MatrixType>
+template<typename Rhs,typename Dest>
+void SuperLU<MatrixType>::_solve_impl(const MatrixBase<Rhs> &b, MatrixBase<Dest>& x) const
+{
+  eigen_assert(m_factorizationIsOk && "The decomposition is not in a valid state for solving, you must first call either compute() or analyzePattern()/factorize()");
+
+  const Index size = m_matrix.rows();
+  const Index rhsCols = b.cols();
+  eigen_assert(size==b.rows());
+
+  m_sluOptions.Trans = NOTRANS;
+  m_sluOptions.Fact = FACTORED;
+  m_sluOptions.IterRefine = NOREFINE;
+  
+
+  m_sluFerr.resize(rhsCols);
+  m_sluBerr.resize(rhsCols);
+  
+  Ref<const Matrix<typename Rhs::Scalar,Dynamic,Dynamic,ColMajor> > b_ref(b);
+  Ref<const Matrix<typename Dest::Scalar,Dynamic,Dynamic,ColMajor> > x_ref(x);
+  
+  m_sluB = SluMatrix::Map(b_ref.const_cast_derived());
+  m_sluX = SluMatrix::Map(x_ref.const_cast_derived());
+  
+  typename Rhs::PlainObject b_cpy;
+  if(m_sluEqued!='N')
+  {
+    b_cpy = b;
+    m_sluB = SluMatrix::Map(b_cpy.const_cast_derived());  
+  }
+
+  StatInit(&m_sluStat);
+  int info = 0;
+  RealScalar recip_pivot_growth, rcond;
+  SuperLU_gssvx(&m_sluOptions, &m_sluA,
+                m_q.data(), m_p.data(),
+                &m_sluEtree[0], &m_sluEqued,
+                &m_sluRscale[0], &m_sluCscale[0],
+                &m_sluL, &m_sluU,
+                NULL, 0,
+                &m_sluB, &m_sluX,
+                &recip_pivot_growth, &rcond,
+                &m_sluFerr[0], &m_sluBerr[0],
+                &m_sluStat, &info, Scalar());
+  StatFree(&m_sluStat);
+  
+  if(x.derived().data() != x_ref.data())
+    x = x_ref;
+  
+  m_info = info==0 ? Success : NumericalIssue;
+}
+
+// the code of this extractData() function has been adapted from the SuperLU's Matlab support code,
+//
+//  Copyright (c) 1994 by Xerox Corporation.  All rights reserved.
+//
+//  THIS MATERIAL IS PROVIDED AS IS, WITH ABSOLUTELY NO WARRANTY
+//  EXPRESSED OR IMPLIED.  ANY USE IS AT YOUR OWN RISK.
+//
+template<typename MatrixType, typename Derived>
+void SuperLUBase<MatrixType,Derived>::extractData() const
+{
+  eigen_assert(m_factorizationIsOk && "The decomposition is not in a valid state for extracting factors, you must first call either compute() or analyzePattern()/factorize()");
+  if (m_extractedDataAreDirty)
+  {
+    int         upper;
+    int         fsupc, istart, nsupr;
+    int         lastl = 0, lastu = 0;
+    SCformat    *Lstore = static_cast<SCformat*>(m_sluL.Store);
+    NCformat    *Ustore = static_cast<NCformat*>(m_sluU.Store);
+    Scalar      *SNptr;
+
+    const Index size = m_matrix.rows();
+    m_l.resize(size,size);
+    m_l.resizeNonZeros(Lstore->nnz);
+    m_u.resize(size,size);
+    m_u.resizeNonZeros(Ustore->nnz);
+
+    int* Lcol = m_l.outerIndexPtr();
+    int* Lrow = m_l.innerIndexPtr();
+    Scalar* Lval = m_l.valuePtr();
+
+    int* Ucol = m_u.outerIndexPtr();
+    int* Urow = m_u.innerIndexPtr();
+    Scalar* Uval = m_u.valuePtr();
+
+    Ucol[0] = 0;
+    Ucol[0] = 0;
+
+    /* for each supernode */
+    for (int k = 0; k <= Lstore->nsuper; ++k)
+    {
+      fsupc   = L_FST_SUPC(k);
+      istart  = L_SUB_START(fsupc);
+      nsupr   = L_SUB_START(fsupc+1) - istart;
+      upper   = 1;
+
+      /* for each column in the supernode */
+      for (int j = fsupc; j < L_FST_SUPC(k+1); ++j)
+      {
+        SNptr = &((Scalar*)Lstore->nzval)[L_NZ_START(j)];
+
+        /* Extract U */
+        for (int i = U_NZ_START(j); i < U_NZ_START(j+1); ++i)
+        {
+          Uval[lastu] = ((Scalar*)Ustore->nzval)[i];
+          /* Matlab doesn't like explicit zero. */
+          if (Uval[lastu] != 0.0)
+            Urow[lastu++] = U_SUB(i);
+        }
+        for (int i = 0; i < upper; ++i)
+        {
+          /* upper triangle in the supernode */
+          Uval[lastu] = SNptr[i];
+          /* Matlab doesn't like explicit zero. */
+          if (Uval[lastu] != 0.0)
+            Urow[lastu++] = L_SUB(istart+i);
+        }
+        Ucol[j+1] = lastu;
+
+        /* Extract L */
+        Lval[lastl] = 1.0; /* unit diagonal */
+        Lrow[lastl++] = L_SUB(istart + upper - 1);
+        for (int i = upper; i < nsupr; ++i)
+        {
+          Lval[lastl] = SNptr[i];
+          /* Matlab doesn't like explicit zero. */
+          if (Lval[lastl] != 0.0)
+            Lrow[lastl++] = L_SUB(istart+i);
+        }
+        Lcol[j+1] = lastl;
+
+        ++upper;
+      } /* for j ... */
+
+    } /* for k ... */
+
+    // squeeze the matrices :
+    m_l.resizeNonZeros(lastl);
+    m_u.resizeNonZeros(lastu);
+
+    m_extractedDataAreDirty = false;
+  }
+}
+
+template<typename MatrixType>
+typename SuperLU<MatrixType>::Scalar SuperLU<MatrixType>::determinant() const
+{
+  eigen_assert(m_factorizationIsOk && "The decomposition is not in a valid state for computing the determinant, you must first call either compute() or analyzePattern()/factorize()");
+  
+  if (m_extractedDataAreDirty)
+    this->extractData();
+
+  Scalar det = Scalar(1);
+  for (int j=0; j<m_u.cols(); ++j)
+  {
+    if (m_u.outerIndexPtr()[j+1]-m_u.outerIndexPtr()[j] > 0)
+    {
+      int lastId = m_u.outerIndexPtr()[j+1]-1;
+      eigen_assert(m_u.innerIndexPtr()[lastId]<=j);
+      if (m_u.innerIndexPtr()[lastId]==j)
+        det *= m_u.valuePtr()[lastId];
+    }
+  }
+  if(PermutationMap(m_p.data(),m_p.size()).determinant()*PermutationMap(m_q.data(),m_q.size()).determinant()<0)
+    det = -det;
+  if(m_sluEqued!='N')
+    return det/m_sluRscale.prod()/m_sluCscale.prod();
+  else
+    return det;
+}
+
+#ifdef EIGEN_PARSED_BY_DOXYGEN
+#define EIGEN_SUPERLU_HAS_ILU
+#endif
+
+#ifdef EIGEN_SUPERLU_HAS_ILU
+
+/** \ingroup SuperLUSupport_Module
+  * \class SuperILU
+  * \brief A sparse direct \b incomplete LU factorization and solver based on the SuperLU library
+  *
+  * This class allows to solve for an approximate solution of A.X = B sparse linear problems via an incomplete LU factorization
+  * using the SuperLU library. This class is aimed to be used as a preconditioner of the iterative linear solvers.
+  *
+  * \warning This class is only for the 4.x versions of SuperLU. The 3.x and 5.x versions are not supported.
+  *
+  * \tparam _MatrixType the type of the sparse matrix A, it must be a SparseMatrix<>
+  *
+  * \implsparsesolverconcept
+  *
+  * \sa \ref TutorialSparseSolverConcept, class IncompleteLUT, class ConjugateGradient, class BiCGSTAB
+  */
+
+template<typename _MatrixType>
+class SuperILU : public SuperLUBase<_MatrixType,SuperILU<_MatrixType> >
+{
+  public:
+    typedef SuperLUBase<_MatrixType,SuperILU> Base;
+    typedef _MatrixType MatrixType;
+    typedef typename Base::Scalar Scalar;
+    typedef typename Base::RealScalar RealScalar;
+
+  public:
+    using Base::_solve_impl;
+
+    SuperILU() : Base() { init(); }
+
+    SuperILU(const MatrixType& matrix) : Base()
+    {
+      init();
+      Base::compute(matrix);
+    }
+
+    ~SuperILU()
+    {
+    }
+    
+    /** Performs a symbolic decomposition on the sparcity of \a matrix.
+      *
+      * This function is particularly useful when solving for several problems having the same structure.
+      * 
+      * \sa factorize()
+      */
+    void analyzePattern(const MatrixType& matrix)
+    {
+      Base::analyzePattern(matrix);
+    }
+    
+    /** Performs a numeric decomposition of \a matrix
+      *
+      * The given matrix must has the same sparcity than the matrix on which the symbolic decomposition has been performed.
+      *
+      * \sa analyzePattern()
+      */
+    void factorize(const MatrixType& matrix);
+    
+    #ifndef EIGEN_PARSED_BY_DOXYGEN
+    /** \internal */
+    template<typename Rhs,typename Dest>
+    void _solve_impl(const MatrixBase<Rhs> &b, MatrixBase<Dest> &dest) const;
+    #endif // EIGEN_PARSED_BY_DOXYGEN
+    
+  protected:
+    
+    using Base::m_matrix;
+    using Base::m_sluOptions;
+    using Base::m_sluA;
+    using Base::m_sluB;
+    using Base::m_sluX;
+    using Base::m_p;
+    using Base::m_q;
+    using Base::m_sluEtree;
+    using Base::m_sluEqued;
+    using Base::m_sluRscale;
+    using Base::m_sluCscale;
+    using Base::m_sluL;
+    using Base::m_sluU;
+    using Base::m_sluStat;
+    using Base::m_sluFerr;
+    using Base::m_sluBerr;
+    using Base::m_l;
+    using Base::m_u;
+    
+    using Base::m_analysisIsOk;
+    using Base::m_factorizationIsOk;
+    using Base::m_extractedDataAreDirty;
+    using Base::m_isInitialized;
+    using Base::m_info;
+
+    void init()
+    {
+      Base::init();
+      
+      ilu_set_default_options(&m_sluOptions);
+      m_sluOptions.PrintStat        = NO;
+      m_sluOptions.ConditionNumber  = NO;
+      m_sluOptions.Trans            = NOTRANS;
+      m_sluOptions.ColPerm          = MMD_AT_PLUS_A;
+      
+      // no attempt to preserve column sum
+      m_sluOptions.ILU_MILU = SILU;
+      // only basic ILU(k) support -- no direct control over memory consumption
+      // better to use ILU_DropRule = DROP_BASIC | DROP_AREA
+      // and set ILU_FillFactor to max memory growth
+      m_sluOptions.ILU_DropRule = DROP_BASIC;
+      m_sluOptions.ILU_DropTol = NumTraits<Scalar>::dummy_precision()*10;
+    }
+    
+  private:
+    SuperILU(SuperILU& ) { }
+};
+
+template<typename MatrixType>
+void SuperILU<MatrixType>::factorize(const MatrixType& a)
+{
+  eigen_assert(m_analysisIsOk && "You must first call analyzePattern()");
+  if(!m_analysisIsOk)
+  {
+    m_info = InvalidInput;
+    return;
+  }
+  
+  this->initFactorization(a);
+
+  int info = 0;
+  RealScalar recip_pivot_growth, rcond;
+
+  StatInit(&m_sluStat);
+  SuperLU_gsisx(&m_sluOptions, &m_sluA, m_q.data(), m_p.data(), &m_sluEtree[0],
+                &m_sluEqued, &m_sluRscale[0], &m_sluCscale[0],
+                &m_sluL, &m_sluU,
+                NULL, 0,
+                &m_sluB, &m_sluX,
+                &recip_pivot_growth, &rcond,
+                &m_sluStat, &info, Scalar());
+  StatFree(&m_sluStat);
+
+  // FIXME how to better check for errors ???
+  m_info = info == 0 ? Success : NumericalIssue;
+  m_factorizationIsOk = true;
+}
+
+#ifndef EIGEN_PARSED_BY_DOXYGEN
+template<typename MatrixType>
+template<typename Rhs,typename Dest>
+void SuperILU<MatrixType>::_solve_impl(const MatrixBase<Rhs> &b, MatrixBase<Dest>& x) const
+{
+  eigen_assert(m_factorizationIsOk && "The decomposition is not in a valid state for solving, you must first call either compute() or analyzePattern()/factorize()");
+
+  const int size = m_matrix.rows();
+  const int rhsCols = b.cols();
+  eigen_assert(size==b.rows());
+
+  m_sluOptions.Trans = NOTRANS;
+  m_sluOptions.Fact = FACTORED;
+  m_sluOptions.IterRefine = NOREFINE;
+
+  m_sluFerr.resize(rhsCols);
+  m_sluBerr.resize(rhsCols);
+  
+  Ref<const Matrix<typename Rhs::Scalar,Dynamic,Dynamic,ColMajor> > b_ref(b);
+  Ref<const Matrix<typename Dest::Scalar,Dynamic,Dynamic,ColMajor> > x_ref(x);
+  
+  m_sluB = SluMatrix::Map(b_ref.const_cast_derived());
+  m_sluX = SluMatrix::Map(x_ref.const_cast_derived());
+
+  typename Rhs::PlainObject b_cpy;
+  if(m_sluEqued!='N')
+  {
+    b_cpy = b;
+    m_sluB = SluMatrix::Map(b_cpy.const_cast_derived());  
+  }
+  
+  int info = 0;
+  RealScalar recip_pivot_growth, rcond;
+
+  StatInit(&m_sluStat);
+  SuperLU_gsisx(&m_sluOptions, &m_sluA,
+                m_q.data(), m_p.data(),
+                &m_sluEtree[0], &m_sluEqued,
+                &m_sluRscale[0], &m_sluCscale[0],
+                &m_sluL, &m_sluU,
+                NULL, 0,
+                &m_sluB, &m_sluX,
+                &recip_pivot_growth, &rcond,
+                &m_sluStat, &info, Scalar());
+  StatFree(&m_sluStat);
+  
+  if(x.derived().data() != x_ref.data())
+    x = x_ref;
+
+  m_info = info==0 ? Success : NumericalIssue;
+}
+#endif
+
+#endif
+
+} // end namespace Eigen
+
+#endif // EIGEN_SUPERLUSUPPORT_H
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/OrderingMethods/Ordering.h
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/OrderingMethods/Ordering.h	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/OrderingMethods/Ordering.h	(revision 3761)
@@ -0,0 +1,157 @@
+ 
+// This file is part of Eigen, a lightweight C++ template library
+// for linear algebra.
+//
+// Copyright (C) 2012  DÃ©sirÃ© Nuentsa-Wakam <desire.nuentsa_wakam@inria.fr>
+//
+// This Source Code Form is subject to the terms of the Mozilla
+// Public License v. 2.0. If a copy of the MPL was not distributed
+// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
+
+#ifndef EIGEN_ORDERING_H
+#define EIGEN_ORDERING_H
+
+namespace Eigen {
+  
+#include "Eigen_Colamd.h"
+
+namespace internal {
+    
+/** \internal
+  * \ingroup OrderingMethods_Module
+  * \param[in] A the input non-symmetric matrix
+  * \param[out] symmat the symmetric pattern A^T+A from the input matrix \a A.
+  * FIXME: The values should not be considered here
+  */
+template<typename MatrixType> 
+void ordering_helper_at_plus_a(const MatrixType& A, MatrixType& symmat)
+{
+  MatrixType C;
+  C = A.transpose(); // NOTE: Could be  costly
+  for (int i = 0; i < C.rows(); i++) 
+  {
+      for (typename MatrixType::InnerIterator it(C, i); it; ++it)
+        it.valueRef() = 0.0;
+  }
+  symmat = C + A;
+}
+    
+}
+
+#ifndef EIGEN_MPL2_ONLY
+
+/** \ingroup OrderingMethods_Module
+  * \class AMDOrdering
+  *
+  * Functor computing the \em approximate \em minimum \em degree ordering
+  * If the matrix is not structurally symmetric, an ordering of A^T+A is computed
+  * \tparam  StorageIndex The type of indices of the matrix 
+  * \sa COLAMDOrdering
+  */
+template <typename StorageIndex>
+class AMDOrdering
+{
+  public:
+    typedef PermutationMatrix<Dynamic, Dynamic, StorageIndex> PermutationType;
+    
+    /** Compute the permutation vector from a sparse matrix
+     * This routine is much faster if the input matrix is column-major     
+     */
+    template <typename MatrixType>
+    void operator()(const MatrixType& mat, PermutationType& perm)
+    {
+      // Compute the symmetric pattern
+      SparseMatrix<typename MatrixType::Scalar, ColMajor, StorageIndex> symm;
+      internal::ordering_helper_at_plus_a(mat,symm); 
+    
+      // Call the AMD routine 
+      //m_mat.prune(keep_diag());
+      internal::minimum_degree_ordering(symm, perm);
+    }
+    
+    /** Compute the permutation with a selfadjoint matrix */
+    template <typename SrcType, unsigned int SrcUpLo> 
+    void operator()(const SparseSelfAdjointView<SrcType, SrcUpLo>& mat, PermutationType& perm)
+    { 
+      SparseMatrix<typename SrcType::Scalar, ColMajor, StorageIndex> C; C = mat;
+      
+      // Call the AMD routine 
+      // m_mat.prune(keep_diag()); //Remove the diagonal elements 
+      internal::minimum_degree_ordering(C, perm);
+    }
+};
+
+#endif // EIGEN_MPL2_ONLY
+
+/** \ingroup OrderingMethods_Module
+  * \class NaturalOrdering
+  *
+  * Functor computing the natural ordering (identity)
+  * 
+  * \note Returns an empty permutation matrix
+  * \tparam  StorageIndex The type of indices of the matrix 
+  */
+template <typename StorageIndex>
+class NaturalOrdering
+{
+  public:
+    typedef PermutationMatrix<Dynamic, Dynamic, StorageIndex> PermutationType;
+    
+    /** Compute the permutation vector from a column-major sparse matrix */
+    template <typename MatrixType>
+    void operator()(const MatrixType& /*mat*/, PermutationType& perm)
+    {
+      perm.resize(0); 
+    }
+    
+};
+
+/** \ingroup OrderingMethods_Module
+  * \class COLAMDOrdering
+  *
+  * \tparam  StorageIndex The type of indices of the matrix 
+  * 
+  * Functor computing the \em column \em approximate \em minimum \em degree ordering 
+  * The matrix should be in column-major and \b compressed format (see SparseMatrix::makeCompressed()).
+  */
+template<typename StorageIndex>
+class COLAMDOrdering
+{
+  public:
+    typedef PermutationMatrix<Dynamic, Dynamic, StorageIndex> PermutationType; 
+    typedef Matrix<StorageIndex, Dynamic, 1> IndexVector;
+    
+    /** Compute the permutation vector \a perm form the sparse matrix \a mat
+      * \warning The input sparse matrix \a mat must be in compressed mode (see SparseMatrix::makeCompressed()).
+      */
+    template <typename MatrixType>
+    void operator() (const MatrixType& mat, PermutationType& perm)
+    {
+      eigen_assert(mat.isCompressed() && "COLAMDOrdering requires a sparse matrix in compressed mode. Call .makeCompressed() before passing it to COLAMDOrdering");
+      
+      StorageIndex m = StorageIndex(mat.rows());
+      StorageIndex n = StorageIndex(mat.cols());
+      StorageIndex nnz = StorageIndex(mat.nonZeros());
+      // Get the recommended value of Alen to be used by colamd
+      StorageIndex Alen = internal::colamd_recommended(nnz, m, n); 
+      // Set the default parameters
+      double knobs [COLAMD_KNOBS]; 
+      StorageIndex stats [COLAMD_STATS];
+      internal::colamd_set_defaults(knobs);
+      
+      IndexVector p(n+1), A(Alen); 
+      for(StorageIndex i=0; i <= n; i++)   p(i) = mat.outerIndexPtr()[i];
+      for(StorageIndex i=0; i < nnz; i++)  A(i) = mat.innerIndexPtr()[i];
+      // Call Colamd routine to compute the ordering 
+      StorageIndex info = internal::colamd(m, n, Alen, A.data(), p.data(), knobs, stats); 
+      EIGEN_UNUSED_VARIABLE(info);
+      eigen_assert( info && "COLAMD failed " );
+      
+      perm.resize(n);
+      for (StorageIndex i = 0; i < n; i++) perm.indices()(p(i)) = i;
+    }
+};
+
+} // end namespace Eigen
+
+#endif
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/OrderingMethods/Amd.h
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/OrderingMethods/Amd.h	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/OrderingMethods/Amd.h	(revision 3761)
@@ -0,0 +1,445 @@
+// This file is part of Eigen, a lightweight C++ template library
+// for linear algebra.
+//
+// Copyright (C) 2010 Gael Guennebaud <gael.guennebaud@inria.fr>
+
+/*
+
+NOTE: this routine has been adapted from the CSparse library:
+
+Copyright (c) 2006, Timothy A. Davis.
+http://www.suitesparse.com
+
+CSparse is free software; you can redistribute it and/or
+modify it under the terms of the GNU Lesser General Public
+License as published by the Free Software Foundation; either
+version 2.1 of the License, or (at your option) any later version.
+
+CSparse is distributed in the hope that it will be useful,
+but WITHOUT ANY WARRANTY; without even the implied warranty of
+MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the GNU
+Lesser General Public License for more details.
+
+You should have received a copy of the GNU Lesser General Public
+License along with this Module; if not, write to the Free Software
+Foundation, Inc., 51 Franklin St, Fifth Floor, Boston, MA  02110-1301  USA
+
+*/
+
+#include "../Core/util/NonMPL2.h"
+
+#ifndef EIGEN_SPARSE_AMD_H
+#define EIGEN_SPARSE_AMD_H
+
+namespace Eigen { 
+
+namespace internal {
+  
+template<typename T> inline T amd_flip(const T& i) { return -i-2; }
+template<typename T> inline T amd_unflip(const T& i) { return i<0 ? amd_flip(i) : i; }
+template<typename T0, typename T1> inline bool amd_marked(const T0* w, const T1& j) { return w[j]<0; }
+template<typename T0, typename T1> inline void amd_mark(const T0* w, const T1& j) { return w[j] = amd_flip(w[j]); }
+
+/* clear w */
+template<typename StorageIndex>
+static StorageIndex cs_wclear (StorageIndex mark, StorageIndex lemax, StorageIndex *w, StorageIndex n)
+{
+  StorageIndex k;
+  if(mark < 2 || (mark + lemax < 0))
+  {
+    for(k = 0; k < n; k++)
+      if(w[k] != 0)
+        w[k] = 1;
+    mark = 2;
+  }
+  return (mark);     /* at this point, w[0..n-1] < mark holds */
+}
+
+/* depth-first search and postorder of a tree rooted at node j */
+template<typename StorageIndex>
+StorageIndex cs_tdfs(StorageIndex j, StorageIndex k, StorageIndex *head, const StorageIndex *next, StorageIndex *post, StorageIndex *stack)
+{
+  StorageIndex i, p, top = 0;
+  if(!head || !next || !post || !stack) return (-1);    /* check inputs */
+  stack[0] = j;                 /* place j on the stack */
+  while (top >= 0)                /* while (stack is not empty) */
+  {
+    p = stack[top];           /* p = top of stack */
+    i = head[p];              /* i = youngest child of p */
+    if(i == -1)
+    {
+      top--;                 /* p has no unordered children left */
+      post[k++] = p;        /* node p is the kth postordered node */
+    }
+    else
+    {
+      head[p] = next[i];   /* remove i from children of p */
+      stack[++top] = i;     /* start dfs on child node i */
+    }
+  }
+  return k;
+}
+
+
+/** \internal
+  * \ingroup OrderingMethods_Module 
+  * Approximate minimum degree ordering algorithm.
+  *
+  * \param[in] C the input selfadjoint matrix stored in compressed column major format.
+  * \param[out] perm the permutation P reducing the fill-in of the input matrix \a C
+  *
+  * Note that the input matrix \a C must be complete, that is both the upper and lower parts have to be stored, as well as the diagonal entries.
+  * On exit the values of C are destroyed */
+template<typename Scalar, typename StorageIndex>
+void minimum_degree_ordering(SparseMatrix<Scalar,ColMajor,StorageIndex>& C, PermutationMatrix<Dynamic,Dynamic,StorageIndex>& perm)
+{
+  using std::sqrt;
+  
+  StorageIndex d, dk, dext, lemax = 0, e, elenk, eln, i, j, k, k1,
+                k2, k3, jlast, ln, dense, nzmax, mindeg = 0, nvi, nvj, nvk, mark, wnvi,
+                ok, nel = 0, p, p1, p2, p3, p4, pj, pk, pk1, pk2, pn, q, t, h;
+  
+  StorageIndex n = StorageIndex(C.cols());
+  dense = std::max<StorageIndex> (16, StorageIndex(10 * sqrt(double(n))));   /* find dense threshold */
+  dense = (std::min)(n-2, dense);
+  
+  StorageIndex cnz = StorageIndex(C.nonZeros());
+  perm.resize(n+1);
+  t = cnz + cnz/5 + 2*n;                 /* add elbow room to C */
+  C.resizeNonZeros(t);
+  
+  // get workspace
+  ei_declare_aligned_stack_constructed_variable(StorageIndex,W,8*(n+1),0);
+  StorageIndex* len     = W;
+  StorageIndex* nv      = W +   (n+1);
+  StorageIndex* next    = W + 2*(n+1);
+  StorageIndex* head    = W + 3*(n+1);
+  StorageIndex* elen    = W + 4*(n+1);
+  StorageIndex* degree  = W + 5*(n+1);
+  StorageIndex* w       = W + 6*(n+1);
+  StorageIndex* hhead   = W + 7*(n+1);
+  StorageIndex* last    = perm.indices().data();                              /* use P as workspace for last */
+  
+  /* --- Initialize quotient graph ---------------------------------------- */
+  StorageIndex* Cp = C.outerIndexPtr();
+  StorageIndex* Ci = C.innerIndexPtr();
+  for(k = 0; k < n; k++)
+    len[k] = Cp[k+1] - Cp[k];
+  len[n] = 0;
+  nzmax = t;
+  
+  for(i = 0; i <= n; i++)
+  {
+    head[i]   = -1;                     // degree list i is empty
+    last[i]   = -1;
+    next[i]   = -1;
+    hhead[i]  = -1;                     // hash list i is empty 
+    nv[i]     = 1;                      // node i is just one node
+    w[i]      = 1;                      // node i is alive
+    elen[i]   = 0;                      // Ek of node i is empty
+    degree[i] = len[i];                 // degree of node i
+  }
+  mark = internal::cs_wclear<StorageIndex>(0, 0, w, n);         /* clear w */
+  
+  /* --- Initialize degree lists ------------------------------------------ */
+  for(i = 0; i < n; i++)
+  {
+    bool has_diag = false;
+    for(p = Cp[i]; p<Cp[i+1]; ++p)
+      if(Ci[p]==i)
+      {
+        has_diag = true;
+        break;
+      }
+   
+    d = degree[i];
+    if(d == 1 && has_diag)           /* node i is empty */
+    {
+      elen[i] = -2;                 /* element i is dead */
+      nel++;
+      Cp[i] = -1;                   /* i is a root of assembly tree */
+      w[i] = 0;
+    }
+    else if(d > dense || !has_diag)  /* node i is dense or has no structural diagonal element */
+    {
+      nv[i] = 0;                    /* absorb i into element n */
+      elen[i] = -1;                 /* node i is dead */
+      nel++;
+      Cp[i] = amd_flip (n);
+      nv[n]++;
+    }
+    else
+    {
+      if(head[d] != -1) last[head[d]] = i;
+      next[i] = head[d];           /* put node i in degree list d */
+      head[d] = i;
+    }
+  }
+  
+  elen[n] = -2;                         /* n is a dead element */
+  Cp[n] = -1;                           /* n is a root of assembly tree */
+  w[n] = 0;                             /* n is a dead element */
+  
+  while (nel < n)                         /* while (selecting pivots) do */
+  {
+    /* --- Select node of minimum approximate degree -------------------- */
+    for(k = -1; mindeg < n && (k = head[mindeg]) == -1; mindeg++) {}
+    if(next[k] != -1) last[next[k]] = -1;
+    head[mindeg] = next[k];          /* remove k from degree list */
+    elenk = elen[k];                  /* elenk = |Ek| */
+    nvk = nv[k];                      /* # of nodes k represents */
+    nel += nvk;                        /* nv[k] nodes of A eliminated */
+    
+    /* --- Garbage collection ------------------------------------------- */
+    if(elenk > 0 && cnz + mindeg >= nzmax)
+    {
+      for(j = 0; j < n; j++)
+      {
+        if((p = Cp[j]) >= 0)      /* j is a live node or element */
+        {
+          Cp[j] = Ci[p];          /* save first entry of object */
+          Ci[p] = amd_flip (j);    /* first entry is now amd_flip(j) */
+        }
+      }
+      for(q = 0, p = 0; p < cnz; ) /* scan all of memory */
+      {
+        if((j = amd_flip (Ci[p++])) >= 0)  /* found object j */
+        {
+          Ci[q] = Cp[j];       /* restore first entry of object */
+          Cp[j] = q++;          /* new pointer to object j */
+          for(k3 = 0; k3 < len[j]-1; k3++) Ci[q++] = Ci[p++];
+        }
+      }
+      cnz = q;                       /* Ci[cnz...nzmax-1] now free */
+    }
+    
+    /* --- Construct new element ---------------------------------------- */
+    dk = 0;
+    nv[k] = -nvk;                     /* flag k as in Lk */
+    p = Cp[k];
+    pk1 = (elenk == 0) ? p : cnz;      /* do in place if elen[k] == 0 */
+    pk2 = pk1;
+    for(k1 = 1; k1 <= elenk + 1; k1++)
+    {
+      if(k1 > elenk)
+      {
+        e = k;                     /* search the nodes in k */
+        pj = p;                    /* list of nodes starts at Ci[pj]*/
+        ln = len[k] - elenk;      /* length of list of nodes in k */
+      }
+      else
+      {
+        e = Ci[p++];              /* search the nodes in e */
+        pj = Cp[e];
+        ln = len[e];              /* length of list of nodes in e */
+      }
+      for(k2 = 1; k2 <= ln; k2++)
+      {
+        i = Ci[pj++];
+        if((nvi = nv[i]) <= 0) continue; /* node i dead, or seen */
+        dk += nvi;                 /* degree[Lk] += size of node i */
+        nv[i] = -nvi;             /* negate nv[i] to denote i in Lk*/
+        Ci[pk2++] = i;            /* place i in Lk */
+        if(next[i] != -1) last[next[i]] = last[i];
+        if(last[i] != -1)         /* remove i from degree list */
+        {
+          next[last[i]] = next[i];
+        }
+        else
+        {
+          head[degree[i]] = next[i];
+        }
+      }
+      if(e != k)
+      {
+        Cp[e] = amd_flip (k);      /* absorb e into k */
+        w[e] = 0;                 /* e is now a dead element */
+      }
+    }
+    if(elenk != 0) cnz = pk2;         /* Ci[cnz...nzmax] is free */
+    degree[k] = dk;                   /* external degree of k - |Lk\i| */
+    Cp[k] = pk1;                      /* element k is in Ci[pk1..pk2-1] */
+    len[k] = pk2 - pk1;
+    elen[k] = -2;                     /* k is now an element */
+    
+    /* --- Find set differences ----------------------------------------- */
+    mark = internal::cs_wclear<StorageIndex>(mark, lemax, w, n);  /* clear w if necessary */
+    for(pk = pk1; pk < pk2; pk++)    /* scan 1: find |Le\Lk| */
+    {
+      i = Ci[pk];
+      if((eln = elen[i]) <= 0) continue;/* skip if elen[i] empty */
+      nvi = -nv[i];                      /* nv[i] was negated */
+      wnvi = mark - nvi;
+      for(p = Cp[i]; p <= Cp[i] + eln - 1; p++)  /* scan Ei */
+      {
+        e = Ci[p];
+        if(w[e] >= mark)
+        {
+          w[e] -= nvi;          /* decrement |Le\Lk| */
+        }
+        else if(w[e] != 0)        /* ensure e is a live element */
+        {
+          w[e] = degree[e] + wnvi; /* 1st time e seen in scan 1 */
+        }
+      }
+    }
+    
+    /* --- Degree update ------------------------------------------------ */
+    for(pk = pk1; pk < pk2; pk++)    /* scan2: degree update */
+    {
+      i = Ci[pk];                   /* consider node i in Lk */
+      p1 = Cp[i];
+      p2 = p1 + elen[i] - 1;
+      pn = p1;
+      for(h = 0, d = 0, p = p1; p <= p2; p++)    /* scan Ei */
+      {
+        e = Ci[p];
+        if(w[e] != 0)             /* e is an unabsorbed element */
+        {
+          dext = w[e] - mark;   /* dext = |Le\Lk| */
+          if(dext > 0)
+          {
+            d += dext;         /* sum up the set differences */
+            Ci[pn++] = e;     /* keep e in Ei */
+            h += e;            /* compute the hash of node i */
+          }
+          else
+          {
+            Cp[e] = amd_flip (k);  /* aggressive absorb. e->k */
+            w[e] = 0;             /* e is a dead element */
+          }
+        }
+      }
+      elen[i] = pn - p1 + 1;        /* elen[i] = |Ei| */
+      p3 = pn;
+      p4 = p1 + len[i];
+      for(p = p2 + 1; p < p4; p++) /* prune edges in Ai */
+      {
+        j = Ci[p];
+        if((nvj = nv[j]) <= 0) continue; /* node j dead or in Lk */
+        d += nvj;                  /* degree(i) += |j| */
+        Ci[pn++] = j;             /* place j in node list of i */
+        h += j;                    /* compute hash for node i */
+      }
+      if(d == 0)                     /* check for mass elimination */
+      {
+        Cp[i] = amd_flip (k);      /* absorb i into k */
+        nvi = -nv[i];
+        dk -= nvi;                 /* |Lk| -= |i| */
+        nvk += nvi;                /* |k| += nv[i] */
+        nel += nvi;
+        nv[i] = 0;
+        elen[i] = -1;             /* node i is dead */
+      }
+      else
+      {
+        degree[i] = std::min<StorageIndex> (degree[i], d);   /* update degree(i) */
+        Ci[pn] = Ci[p3];         /* move first node to end */
+        Ci[p3] = Ci[p1];         /* move 1st el. to end of Ei */
+        Ci[p1] = k;               /* add k as 1st element in of Ei */
+        len[i] = pn - p1 + 1;     /* new len of adj. list of node i */
+        h %= n;                    /* finalize hash of i */
+        next[i] = hhead[h];      /* place i in hash bucket */
+        hhead[h] = i;
+        last[i] = h;      /* save hash of i in last[i] */
+      }
+    }                                   /* scan2 is done */
+    degree[k] = dk;                   /* finalize |Lk| */
+    lemax = std::max<StorageIndex>(lemax, dk);
+    mark = internal::cs_wclear<StorageIndex>(mark+lemax, lemax, w, n);    /* clear w */
+    
+    /* --- Supernode detection ------------------------------------------ */
+    for(pk = pk1; pk < pk2; pk++)
+    {
+      i = Ci[pk];
+      if(nv[i] >= 0) continue;         /* skip if i is dead */
+      h = last[i];                      /* scan hash bucket of node i */
+      i = hhead[h];
+      hhead[h] = -1;                    /* hash bucket will be empty */
+      for(; i != -1 && next[i] != -1; i = next[i], mark++)
+      {
+        ln = len[i];
+        eln = elen[i];
+        for(p = Cp[i]+1; p <= Cp[i] + ln-1; p++) w[Ci[p]] = mark;
+        jlast = i;
+        for(j = next[i]; j != -1; ) /* compare i with all j */
+        {
+          ok = (len[j] == ln) && (elen[j] == eln);
+          for(p = Cp[j] + 1; ok && p <= Cp[j] + ln - 1; p++)
+          {
+            if(w[Ci[p]] != mark) ok = 0;    /* compare i and j*/
+          }
+          if(ok)                     /* i and j are identical */
+          {
+            Cp[j] = amd_flip (i);  /* absorb j into i */
+            nv[i] += nv[j];
+            nv[j] = 0;
+            elen[j] = -1;         /* node j is dead */
+            j = next[j];          /* delete j from hash bucket */
+            next[jlast] = j;
+          }
+          else
+          {
+            jlast = j;             /* j and i are different */
+            j = next[j];
+          }
+        }
+      }
+    }
+    
+    /* --- Finalize new element------------------------------------------ */
+    for(p = pk1, pk = pk1; pk < pk2; pk++)   /* finalize Lk */
+    {
+      i = Ci[pk];
+      if((nvi = -nv[i]) <= 0) continue;/* skip if i is dead */
+      nv[i] = nvi;                      /* restore nv[i] */
+      d = degree[i] + dk - nvi;         /* compute external degree(i) */
+      d = std::min<StorageIndex> (d, n - nel - nvi);
+      if(head[d] != -1) last[head[d]] = i;
+      next[i] = head[d];               /* put i back in degree list */
+      last[i] = -1;
+      head[d] = i;
+      mindeg = std::min<StorageIndex> (mindeg, d);       /* find new minimum degree */
+      degree[i] = d;
+      Ci[p++] = i;                      /* place i in Lk */
+    }
+    nv[k] = nvk;                      /* # nodes absorbed into k */
+    if((len[k] = p-pk1) == 0)         /* length of adj list of element k*/
+    {
+      Cp[k] = -1;                   /* k is a root of the tree */
+      w[k] = 0;                     /* k is now a dead element */
+    }
+    if(elenk != 0) cnz = p;           /* free unused space in Lk */
+  }
+  
+  /* --- Postordering ----------------------------------------------------- */
+  for(i = 0; i < n; i++) Cp[i] = amd_flip (Cp[i]);/* fix assembly tree */
+  for(j = 0; j <= n; j++) head[j] = -1;
+  for(j = n; j >= 0; j--)              /* place unordered nodes in lists */
+  {
+    if(nv[j] > 0) continue;          /* skip if j is an element */
+    next[j] = head[Cp[j]];          /* place j in list of its parent */
+    head[Cp[j]] = j;
+  }
+  for(e = n; e >= 0; e--)              /* place elements in lists */
+  {
+    if(nv[e] <= 0) continue;         /* skip unless e is an element */
+    if(Cp[e] != -1)
+    {
+      next[e] = head[Cp[e]];      /* place e in list of its parent */
+      head[Cp[e]] = e;
+    }
+  }
+  for(k = 0, i = 0; i <= n; i++)       /* postorder the assembly tree */
+  {
+    if(Cp[i] == -1) k = internal::cs_tdfs<StorageIndex>(i, k, head, next, perm.indices().data(), w);
+  }
+  
+  perm.indices().conservativeResize(n);
+}
+
+} // namespace internal
+
+} // end namespace Eigen
+
+#endif // EIGEN_SPARSE_AMD_H
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/OrderingMethods/Eigen_Colamd.h
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/OrderingMethods/Eigen_Colamd.h	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/OrderingMethods/Eigen_Colamd.h	(revision 3761)
@@ -0,0 +1,1843 @@
+// // This file is part of Eigen, a lightweight C++ template library
+// for linear algebra.
+//
+// Copyright (C) 2012 Desire Nuentsa Wakam <desire.nuentsa_wakam@inria.fr>
+//
+// This Source Code Form is subject to the terms of the Mozilla
+// Public License v. 2.0. If a copy of the MPL was not distributed
+// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
+
+// This file is modified from the colamd/symamd library. The copyright is below
+
+//   The authors of the code itself are Stefan I. Larimore and Timothy A.
+//   Davis (davis@cise.ufl.edu), University of Florida.  The algorithm was
+//   developed in collaboration with John Gilbert, Xerox PARC, and Esmond
+//   Ng, Oak Ridge National Laboratory.
+// 
+//     Date:
+// 
+//   September 8, 2003.  Version 2.3.
+// 
+//     Acknowledgements:
+// 
+//   This work was supported by the National Science Foundation, under
+//   grants DMS-9504974 and DMS-9803599.
+// 
+//     Notice:
+// 
+//   Copyright (c) 1998-2003 by the University of Florida.
+//   All Rights Reserved.
+// 
+//   THIS MATERIAL IS PROVIDED AS IS, WITH ABSOLUTELY NO WARRANTY
+//   EXPRESSED OR IMPLIED.  ANY USE IS AT YOUR OWN RISK.
+// 
+//   Permission is hereby granted to use, copy, modify, and/or distribute
+//   this program, provided that the Copyright, this License, and the
+//   Availability of the original version is retained on all copies and made
+//   accessible to the end-user of any code or package that includes COLAMD
+//   or any modified version of COLAMD. 
+// 
+//     Availability:
+// 
+//   The colamd/symamd library is available at
+// 
+//       http://www.suitesparse.com
+
+  
+#ifndef EIGEN_COLAMD_H
+#define EIGEN_COLAMD_H
+
+namespace internal {
+/* Ensure that debugging is turned off: */
+#ifndef COLAMD_NDEBUG
+#define COLAMD_NDEBUG
+#endif /* NDEBUG */
+/* ========================================================================== */
+/* === Knob and statistics definitions ====================================== */
+/* ========================================================================== */
+
+/* size of the knobs [ ] array.  Only knobs [0..1] are currently used. */
+#define COLAMD_KNOBS 20
+
+/* number of output statistics.  Only stats [0..6] are currently used. */
+#define COLAMD_STATS 20 
+
+/* knobs [0] and stats [0]: dense row knob and output statistic. */
+#define COLAMD_DENSE_ROW 0
+
+/* knobs [1] and stats [1]: dense column knob and output statistic. */
+#define COLAMD_DENSE_COL 1
+
+/* stats [2]: memory defragmentation count output statistic */
+#define COLAMD_DEFRAG_COUNT 2
+
+/* stats [3]: colamd status:  zero OK, > 0 warning or notice, < 0 error */
+#define COLAMD_STATUS 3
+
+/* stats [4..6]: error info, or info on jumbled columns */ 
+#define COLAMD_INFO1 4
+#define COLAMD_INFO2 5
+#define COLAMD_INFO3 6
+
+/* error codes returned in stats [3]: */
+#define COLAMD_OK       (0)
+#define COLAMD_OK_BUT_JUMBLED     (1)
+#define COLAMD_ERROR_A_not_present    (-1)
+#define COLAMD_ERROR_p_not_present    (-2)
+#define COLAMD_ERROR_nrow_negative    (-3)
+#define COLAMD_ERROR_ncol_negative    (-4)
+#define COLAMD_ERROR_nnz_negative   (-5)
+#define COLAMD_ERROR_p0_nonzero     (-6)
+#define COLAMD_ERROR_A_too_small    (-7)
+#define COLAMD_ERROR_col_length_negative  (-8)
+#define COLAMD_ERROR_row_index_out_of_bounds  (-9)
+#define COLAMD_ERROR_out_of_memory    (-10)
+#define COLAMD_ERROR_internal_error   (-999)
+
+/* ========================================================================== */
+/* === Definitions ========================================================== */
+/* ========================================================================== */
+
+#define ONES_COMPLEMENT(r) (-(r)-1)
+
+/* -------------------------------------------------------------------------- */
+
+#define COLAMD_EMPTY (-1)
+
+/* Row and column status */
+#define ALIVE (0)
+#define DEAD  (-1)
+
+/* Column status */
+#define DEAD_PRINCIPAL    (-1)
+#define DEAD_NON_PRINCIPAL  (-2)
+
+/* Macros for row and column status update and checking. */
+#define ROW_IS_DEAD(r)      ROW_IS_MARKED_DEAD (Row[r].shared2.mark)
+#define ROW_IS_MARKED_DEAD(row_mark)  (row_mark < ALIVE)
+#define ROW_IS_ALIVE(r)     (Row [r].shared2.mark >= ALIVE)
+#define COL_IS_DEAD(c)      (Col [c].start < ALIVE)
+#define COL_IS_ALIVE(c)     (Col [c].start >= ALIVE)
+#define COL_IS_DEAD_PRINCIPAL(c)  (Col [c].start == DEAD_PRINCIPAL)
+#define KILL_ROW(r)     { Row [r].shared2.mark = DEAD ; }
+#define KILL_PRINCIPAL_COL(c)   { Col [c].start = DEAD_PRINCIPAL ; }
+#define KILL_NON_PRINCIPAL_COL(c) { Col [c].start = DEAD_NON_PRINCIPAL ; }
+
+/* ========================================================================== */
+/* === Colamd reporting mechanism =========================================== */
+/* ========================================================================== */
+
+// == Row and Column structures ==
+template <typename IndexType>
+struct colamd_col
+{
+  IndexType start ;   /* index for A of first row in this column, or DEAD */
+  /* if column is dead */
+  IndexType length ;  /* number of rows in this column */
+  union
+  {
+    IndexType thickness ; /* number of original columns represented by this */
+    /* col, if the column is alive */
+    IndexType parent ;  /* parent in parent tree super-column structure, if */
+    /* the column is dead */
+  } shared1 ;
+  union
+  {
+    IndexType score ; /* the score used to maintain heap, if col is alive */
+    IndexType order ; /* pivot ordering of this column, if col is dead */
+  } shared2 ;
+  union
+  {
+    IndexType headhash ;  /* head of a hash bucket, if col is at the head of */
+    /* a degree list */
+    IndexType hash ;  /* hash value, if col is not in a degree list */
+    IndexType prev ;  /* previous column in degree list, if col is in a */
+    /* degree list (but not at the head of a degree list) */
+  } shared3 ;
+  union
+  {
+    IndexType degree_next ; /* next column, if col is in a degree list */
+    IndexType hash_next ;   /* next column, if col is in a hash list */
+  } shared4 ;
+  
+};
+ 
+template <typename IndexType>
+struct Colamd_Row
+{
+  IndexType start ;   /* index for A of first col in this row */
+  IndexType length ;  /* number of principal columns in this row */
+  union
+  {
+    IndexType degree ;  /* number of principal & non-principal columns in row */
+    IndexType p ;   /* used as a row pointer in init_rows_cols () */
+  } shared1 ;
+  union
+  {
+    IndexType mark ;  /* for computing set differences and marking dead rows*/
+    IndexType first_column ;/* first column in row (used in garbage collection) */
+  } shared2 ;
+  
+};
+ 
+/* ========================================================================== */
+/* === Colamd recommended memory size ======================================= */
+/* ========================================================================== */
+ 
+/*
+  The recommended length Alen of the array A passed to colamd is given by
+  the COLAMD_RECOMMENDED (nnz, n_row, n_col) macro.  It returns -1 if any
+  argument is negative.  2*nnz space is required for the row and column
+  indices of the matrix. colamd_c (n_col) + colamd_r (n_row) space is
+  required for the Col and Row arrays, respectively, which are internal to
+  colamd.  An additional n_col space is the minimal amount of "elbow room",
+  and nnz/5 more space is recommended for run time efficiency.
+  
+  This macro is not needed when using symamd.
+  
+  Explicit typecast to IndexType added Sept. 23, 2002, COLAMD version 2.2, to avoid
+  gcc -pedantic warning messages.
+*/
+template <typename IndexType>
+inline IndexType colamd_c(IndexType n_col) 
+{ return IndexType( ((n_col) + 1) * sizeof (colamd_col<IndexType>) / sizeof (IndexType) ) ; }
+
+template <typename IndexType>
+inline IndexType  colamd_r(IndexType n_row)
+{ return IndexType(((n_row) + 1) * sizeof (Colamd_Row<IndexType>) / sizeof (IndexType)); }
+
+// Prototypes of non-user callable routines
+template <typename IndexType>
+static IndexType init_rows_cols (IndexType n_row, IndexType n_col, Colamd_Row<IndexType> Row [], colamd_col<IndexType> col [], IndexType A [], IndexType p [], IndexType stats[COLAMD_STATS] ); 
+
+template <typename IndexType>
+static void init_scoring (IndexType n_row, IndexType n_col, Colamd_Row<IndexType> Row [], colamd_col<IndexType> Col [], IndexType A [], IndexType head [], double knobs[COLAMD_KNOBS], IndexType *p_n_row2, IndexType *p_n_col2, IndexType *p_max_deg);
+
+template <typename IndexType>
+static IndexType find_ordering (IndexType n_row, IndexType n_col, IndexType Alen, Colamd_Row<IndexType> Row [], colamd_col<IndexType> Col [], IndexType A [], IndexType head [], IndexType n_col2, IndexType max_deg, IndexType pfree);
+
+template <typename IndexType>
+static void order_children (IndexType n_col, colamd_col<IndexType> Col [], IndexType p []);
+
+template <typename IndexType>
+static void detect_super_cols (colamd_col<IndexType> Col [], IndexType A [], IndexType head [], IndexType row_start, IndexType row_length ) ;
+
+template <typename IndexType>
+static IndexType garbage_collection (IndexType n_row, IndexType n_col, Colamd_Row<IndexType> Row [], colamd_col<IndexType> Col [], IndexType A [], IndexType *pfree) ;
+
+template <typename IndexType>
+static inline  IndexType clear_mark (IndexType n_row, Colamd_Row<IndexType> Row [] ) ;
+
+/* === No debugging ========================================================= */
+
+#define COLAMD_DEBUG0(params) ;
+#define COLAMD_DEBUG1(params) ;
+#define COLAMD_DEBUG2(params) ;
+#define COLAMD_DEBUG3(params) ;
+#define COLAMD_DEBUG4(params) ;
+
+#define COLAMD_ASSERT(expression) ((void) 0)
+
+
+/**
+ * \brief Returns the recommended value of Alen 
+ * 
+ * Returns recommended value of Alen for use by colamd.  
+ * Returns -1 if any input argument is negative.  
+ * The use of this routine or macro is optional.  
+ * Note that the macro uses its arguments   more than once, 
+ * so be careful for side effects, if you pass expressions as arguments to COLAMD_RECOMMENDED.  
+ * 
+ * \param nnz nonzeros in A
+ * \param n_row number of rows in A
+ * \param n_col number of columns in A
+ * \return recommended value of Alen for use by colamd
+ */
+template <typename IndexType>
+inline IndexType colamd_recommended ( IndexType nnz, IndexType n_row, IndexType n_col)
+{
+  if ((nnz) < 0 || (n_row) < 0 || (n_col) < 0)
+    return (-1);
+  else
+    return (2 * (nnz) + colamd_c (n_col) + colamd_r (n_row) + (n_col) + ((nnz) / 5)); 
+}
+
+/**
+ * \brief set default parameters  The use of this routine is optional.
+ * 
+ * Colamd: rows with more than (knobs [COLAMD_DENSE_ROW] * n_col)
+ * entries are removed prior to ordering.  Columns with more than
+ * (knobs [COLAMD_DENSE_COL] * n_row) entries are removed prior to
+ * ordering, and placed last in the output column ordering. 
+ *
+ * COLAMD_DENSE_ROW and COLAMD_DENSE_COL are defined as 0 and 1,
+ * respectively, in colamd.h.  Default values of these two knobs
+ * are both 0.5.  Currently, only knobs [0] and knobs [1] are
+ * used, but future versions may use more knobs.  If so, they will
+ * be properly set to their defaults by the future version of
+ * colamd_set_defaults, so that the code that calls colamd will
+ * not need to change, assuming that you either use
+ * colamd_set_defaults, or pass a (double *) NULL pointer as the
+ * knobs array to colamd or symamd.
+ * 
+ * \param knobs parameter settings for colamd
+ */
+
+static inline void colamd_set_defaults(double knobs[COLAMD_KNOBS])
+{
+  /* === Local variables ================================================== */
+  
+  int i ;
+
+  if (!knobs)
+  {
+    return ;      /* no knobs to initialize */
+  }
+  for (i = 0 ; i < COLAMD_KNOBS ; i++)
+  {
+    knobs [i] = 0 ;
+  }
+  knobs [COLAMD_DENSE_ROW] = 0.5 ;  /* ignore rows over 50% dense */
+  knobs [COLAMD_DENSE_COL] = 0.5 ;  /* ignore columns over 50% dense */
+}
+
+/** 
+ * \brief  Computes a column ordering using the column approximate minimum degree ordering
+ * 
+ * Computes a column ordering (Q) of A such that P(AQ)=LU or
+ * (AQ)'AQ=LL' have less fill-in and require fewer floating point
+ * operations than factorizing the unpermuted matrix A or A'A,
+ * respectively.
+ * 
+ * 
+ * \param n_row number of rows in A
+ * \param n_col number of columns in A
+ * \param Alen, size of the array A
+ * \param A row indices of the matrix, of size ALen
+ * \param p column pointers of A, of size n_col+1
+ * \param knobs parameter settings for colamd
+ * \param stats colamd output statistics and error codes
+ */
+template <typename IndexType>
+static bool colamd(IndexType n_row, IndexType n_col, IndexType Alen, IndexType *A, IndexType *p, double knobs[COLAMD_KNOBS], IndexType stats[COLAMD_STATS])
+{
+  /* === Local variables ================================================== */
+  
+  IndexType i ;     /* loop index */
+  IndexType nnz ;     /* nonzeros in A */
+  IndexType Row_size ;    /* size of Row [], in integers */
+  IndexType Col_size ;    /* size of Col [], in integers */
+  IndexType need ;      /* minimum required length of A */
+  Colamd_Row<IndexType> *Row ;   /* pointer into A of Row [0..n_row] array */
+  colamd_col<IndexType> *Col ;   /* pointer into A of Col [0..n_col] array */
+  IndexType n_col2 ;    /* number of non-dense, non-empty columns */
+  IndexType n_row2 ;    /* number of non-dense, non-empty rows */
+  IndexType ngarbage ;    /* number of garbage collections performed */
+  IndexType max_deg ;   /* maximum row degree */
+  double default_knobs [COLAMD_KNOBS] ; /* default knobs array */
+  
+  
+  /* === Check the input arguments ======================================== */
+  
+  if (!stats)
+  {
+    COLAMD_DEBUG0 (("colamd: stats not present\n")) ;
+    return (false) ;
+  }
+  for (i = 0 ; i < COLAMD_STATS ; i++)
+  {
+    stats [i] = 0 ;
+  }
+  stats [COLAMD_STATUS] = COLAMD_OK ;
+  stats [COLAMD_INFO1] = -1 ;
+  stats [COLAMD_INFO2] = -1 ;
+  
+  if (!A)   /* A is not present */
+  {
+    stats [COLAMD_STATUS] = COLAMD_ERROR_A_not_present ;
+    COLAMD_DEBUG0 (("colamd: A not present\n")) ;
+    return (false) ;
+  }
+  
+  if (!p)   /* p is not present */
+  {
+    stats [COLAMD_STATUS] = COLAMD_ERROR_p_not_present ;
+    COLAMD_DEBUG0 (("colamd: p not present\n")) ;
+    return (false) ;
+  }
+  
+  if (n_row < 0)  /* n_row must be >= 0 */
+  {
+    stats [COLAMD_STATUS] = COLAMD_ERROR_nrow_negative ;
+    stats [COLAMD_INFO1] = n_row ;
+    COLAMD_DEBUG0 (("colamd: nrow negative %d\n", n_row)) ;
+    return (false) ;
+  }
+  
+  if (n_col < 0)  /* n_col must be >= 0 */
+  {
+    stats [COLAMD_STATUS] = COLAMD_ERROR_ncol_negative ;
+    stats [COLAMD_INFO1] = n_col ;
+    COLAMD_DEBUG0 (("colamd: ncol negative %d\n", n_col)) ;
+    return (false) ;
+  }
+  
+  nnz = p [n_col] ;
+  if (nnz < 0)  /* nnz must be >= 0 */
+  {
+    stats [COLAMD_STATUS] = COLAMD_ERROR_nnz_negative ;
+    stats [COLAMD_INFO1] = nnz ;
+    COLAMD_DEBUG0 (("colamd: number of entries negative %d\n", nnz)) ;
+    return (false) ;
+  }
+  
+  if (p [0] != 0)
+  {
+    stats [COLAMD_STATUS] = COLAMD_ERROR_p0_nonzero ;
+    stats [COLAMD_INFO1] = p [0] ;
+    COLAMD_DEBUG0 (("colamd: p[0] not zero %d\n", p [0])) ;
+    return (false) ;
+  }
+  
+  /* === If no knobs, set default knobs =================================== */
+  
+  if (!knobs)
+  {
+    colamd_set_defaults (default_knobs) ;
+    knobs = default_knobs ;
+  }
+  
+  /* === Allocate the Row and Col arrays from array A ===================== */
+  
+  Col_size = colamd_c (n_col) ;
+  Row_size = colamd_r (n_row) ;
+  need = 2*nnz + n_col + Col_size + Row_size ;
+  
+  if (need > Alen)
+  {
+    /* not enough space in array A to perform the ordering */
+    stats [COLAMD_STATUS] = COLAMD_ERROR_A_too_small ;
+    stats [COLAMD_INFO1] = need ;
+    stats [COLAMD_INFO2] = Alen ;
+    COLAMD_DEBUG0 (("colamd: Need Alen >= %d, given only Alen = %d\n", need,Alen));
+    return (false) ;
+  }
+  
+  Alen -= Col_size + Row_size ;
+  Col = (colamd_col<IndexType> *) &A [Alen] ;
+  Row = (Colamd_Row<IndexType> *) &A [Alen + Col_size] ;
+
+  /* === Construct the row and column data structures ===================== */
+  
+  if (!Eigen::internal::init_rows_cols (n_row, n_col, Row, Col, A, p, stats))
+  {
+    /* input matrix is invalid */
+    COLAMD_DEBUG0 (("colamd: Matrix invalid\n")) ;
+    return (false) ;
+  }
+  
+  /* === Initialize scores, kill dense rows/columns ======================= */
+
+  Eigen::internal::init_scoring (n_row, n_col, Row, Col, A, p, knobs,
+		&n_row2, &n_col2, &max_deg) ;
+  
+  /* === Order the supercolumns =========================================== */
+  
+  ngarbage = Eigen::internal::find_ordering (n_row, n_col, Alen, Row, Col, A, p,
+			    n_col2, max_deg, 2*nnz) ;
+  
+  /* === Order the non-principal columns ================================== */
+  
+  Eigen::internal::order_children (n_col, Col, p) ;
+  
+  /* === Return statistics in stats ======================================= */
+  
+  stats [COLAMD_DENSE_ROW] = n_row - n_row2 ;
+  stats [COLAMD_DENSE_COL] = n_col - n_col2 ;
+  stats [COLAMD_DEFRAG_COUNT] = ngarbage ;
+  COLAMD_DEBUG0 (("colamd: done.\n")) ; 
+  return (true) ;
+}
+
+/* ========================================================================== */
+/* === NON-USER-CALLABLE ROUTINES: ========================================== */
+/* ========================================================================== */
+
+/* There are no user-callable routines beyond this point in the file */
+
+
+/* ========================================================================== */
+/* === init_rows_cols ======================================================= */
+/* ========================================================================== */
+
+/*
+  Takes the column form of the matrix in A and creates the row form of the
+  matrix.  Also, row and column attributes are stored in the Col and Row
+  structs.  If the columns are un-sorted or contain duplicate row indices,
+  this routine will also sort and remove duplicate row indices from the
+  column form of the matrix.  Returns false if the matrix is invalid,
+  true otherwise.  Not user-callable.
+*/
+template <typename IndexType>
+static IndexType init_rows_cols  /* returns true if OK, or false otherwise */
+  (
+    /* === Parameters ======================================================= */
+
+    IndexType n_row,      /* number of rows of A */
+    IndexType n_col,      /* number of columns of A */
+    Colamd_Row<IndexType> Row [],    /* of size n_row+1 */
+    colamd_col<IndexType> Col [],    /* of size n_col+1 */
+    IndexType A [],     /* row indices of A, of size Alen */
+    IndexType p [],     /* pointers to columns in A, of size n_col+1 */
+    IndexType stats [COLAMD_STATS]  /* colamd statistics */ 
+    )
+{
+  /* === Local variables ================================================== */
+
+  IndexType col ;     /* a column index */
+  IndexType row ;     /* a row index */
+  IndexType *cp ;     /* a column pointer */
+  IndexType *cp_end ;   /* a pointer to the end of a column */
+  IndexType *rp ;     /* a row pointer */
+  IndexType *rp_end ;   /* a pointer to the end of a row */
+  IndexType last_row ;    /* previous row */
+
+  /* === Initialize columns, and check column pointers ==================== */
+
+  for (col = 0 ; col < n_col ; col++)
+  {
+    Col [col].start = p [col] ;
+    Col [col].length = p [col+1] - p [col] ;
+
+    if ((Col [col].length) < 0) // extra parentheses to work-around gcc bug 10200
+    {
+      /* column pointers must be non-decreasing */
+      stats [COLAMD_STATUS] = COLAMD_ERROR_col_length_negative ;
+      stats [COLAMD_INFO1] = col ;
+      stats [COLAMD_INFO2] = Col [col].length ;
+      COLAMD_DEBUG0 (("colamd: col %d length %d < 0\n", col, Col [col].length)) ;
+      return (false) ;
+    }
+
+    Col [col].shared1.thickness = 1 ;
+    Col [col].shared2.score = 0 ;
+    Col [col].shared3.prev = COLAMD_EMPTY ;
+    Col [col].shared4.degree_next = COLAMD_EMPTY ;
+  }
+
+  /* p [0..n_col] no longer needed, used as "head" in subsequent routines */
+
+  /* === Scan columns, compute row degrees, and check row indices ========= */
+
+  stats [COLAMD_INFO3] = 0 ;  /* number of duplicate or unsorted row indices*/
+
+  for (row = 0 ; row < n_row ; row++)
+  {
+    Row [row].length = 0 ;
+    Row [row].shared2.mark = -1 ;
+  }
+
+  for (col = 0 ; col < n_col ; col++)
+  {
+    last_row = -1 ;
+
+    cp = &A [p [col]] ;
+    cp_end = &A [p [col+1]] ;
+
+    while (cp < cp_end)
+    {
+      row = *cp++ ;
+
+      /* make sure row indices within range */
+      if (row < 0 || row >= n_row)
+      {
+	stats [COLAMD_STATUS] = COLAMD_ERROR_row_index_out_of_bounds ;
+	stats [COLAMD_INFO1] = col ;
+	stats [COLAMD_INFO2] = row ;
+	stats [COLAMD_INFO3] = n_row ;
+	COLAMD_DEBUG0 (("colamd: row %d col %d out of bounds\n", row, col)) ;
+	return (false) ;
+      }
+
+      if (row <= last_row || Row [row].shared2.mark == col)
+      {
+	/* row index are unsorted or repeated (or both), thus col */
+	/* is jumbled.  This is a notice, not an error condition. */
+	stats [COLAMD_STATUS] = COLAMD_OK_BUT_JUMBLED ;
+	stats [COLAMD_INFO1] = col ;
+	stats [COLAMD_INFO2] = row ;
+	(stats [COLAMD_INFO3]) ++ ;
+	COLAMD_DEBUG1 (("colamd: row %d col %d unsorted/duplicate\n",row,col));
+      }
+
+      if (Row [row].shared2.mark != col)
+      {
+	Row [row].length++ ;
+      }
+      else
+      {
+	/* this is a repeated entry in the column, */
+	/* it will be removed */
+	Col [col].length-- ;
+      }
+
+      /* mark the row as having been seen in this column */
+      Row [row].shared2.mark = col ;
+
+      last_row = row ;
+    }
+  }
+
+  /* === Compute row pointers ============================================= */
+
+  /* row form of the matrix starts directly after the column */
+  /* form of matrix in A */
+  Row [0].start = p [n_col] ;
+  Row [0].shared1.p = Row [0].start ;
+  Row [0].shared2.mark = -1 ;
+  for (row = 1 ; row < n_row ; row++)
+  {
+    Row [row].start = Row [row-1].start + Row [row-1].length ;
+    Row [row].shared1.p = Row [row].start ;
+    Row [row].shared2.mark = -1 ;
+  }
+
+  /* === Create row form ================================================== */
+
+  if (stats [COLAMD_STATUS] == COLAMD_OK_BUT_JUMBLED)
+  {
+    /* if cols jumbled, watch for repeated row indices */
+    for (col = 0 ; col < n_col ; col++)
+    {
+      cp = &A [p [col]] ;
+      cp_end = &A [p [col+1]] ;
+      while (cp < cp_end)
+      {
+	row = *cp++ ;
+	if (Row [row].shared2.mark != col)
+	{
+	  A [(Row [row].shared1.p)++] = col ;
+	  Row [row].shared2.mark = col ;
+	}
+      }
+    }
+  }
+  else
+  {
+    /* if cols not jumbled, we don't need the mark (this is faster) */
+    for (col = 0 ; col < n_col ; col++)
+    {
+      cp = &A [p [col]] ;
+      cp_end = &A [p [col+1]] ;
+      while (cp < cp_end)
+      {
+	A [(Row [*cp++].shared1.p)++] = col ;
+      }
+    }
+  }
+
+  /* === Clear the row marks and set row degrees ========================== */
+
+  for (row = 0 ; row < n_row ; row++)
+  {
+    Row [row].shared2.mark = 0 ;
+    Row [row].shared1.degree = Row [row].length ;
+  }
+
+  /* === See if we need to re-create columns ============================== */
+
+  if (stats [COLAMD_STATUS] == COLAMD_OK_BUT_JUMBLED)
+  {
+    COLAMD_DEBUG0 (("colamd: reconstructing column form, matrix jumbled\n")) ;
+
+
+    /* === Compute col pointers ========================================= */
+
+    /* col form of the matrix starts at A [0]. */
+    /* Note, we may have a gap between the col form and the row */
+    /* form if there were duplicate entries, if so, it will be */
+    /* removed upon the first garbage collection */
+    Col [0].start = 0 ;
+    p [0] = Col [0].start ;
+    for (col = 1 ; col < n_col ; col++)
+    {
+      /* note that the lengths here are for pruned columns, i.e. */
+      /* no duplicate row indices will exist for these columns */
+      Col [col].start = Col [col-1].start + Col [col-1].length ;
+      p [col] = Col [col].start ;
+    }
+
+    /* === Re-create col form =========================================== */
+
+    for (row = 0 ; row < n_row ; row++)
+    {
+      rp = &A [Row [row].start] ;
+      rp_end = rp + Row [row].length ;
+      while (rp < rp_end)
+      {
+	A [(p [*rp++])++] = row ;
+      }
+    }
+  }
+
+  /* === Done.  Matrix is not (or no longer) jumbled ====================== */
+
+  return (true) ;
+}
+
+
+/* ========================================================================== */
+/* === init_scoring ========================================================= */
+/* ========================================================================== */
+
+/*
+  Kills dense or empty columns and rows, calculates an initial score for
+  each column, and places all columns in the degree lists.  Not user-callable.
+*/
+template <typename IndexType>
+static void init_scoring
+  (
+    /* === Parameters ======================================================= */
+
+    IndexType n_row,      /* number of rows of A */
+    IndexType n_col,      /* number of columns of A */
+    Colamd_Row<IndexType> Row [],    /* of size n_row+1 */
+    colamd_col<IndexType> Col [],    /* of size n_col+1 */
+    IndexType A [],     /* column form and row form of A */
+    IndexType head [],    /* of size n_col+1 */
+    double knobs [COLAMD_KNOBS],/* parameters */
+    IndexType *p_n_row2,    /* number of non-dense, non-empty rows */
+    IndexType *p_n_col2,    /* number of non-dense, non-empty columns */
+    IndexType *p_max_deg    /* maximum row degree */
+    )
+{
+  /* === Local variables ================================================== */
+
+  IndexType c ;     /* a column index */
+  IndexType r, row ;    /* a row index */
+  IndexType *cp ;     /* a column pointer */
+  IndexType deg ;     /* degree of a row or column */
+  IndexType *cp_end ;   /* a pointer to the end of a column */
+  IndexType *new_cp ;   /* new column pointer */
+  IndexType col_length ;    /* length of pruned column */
+  IndexType score ;     /* current column score */
+  IndexType n_col2 ;    /* number of non-dense, non-empty columns */
+  IndexType n_row2 ;    /* number of non-dense, non-empty rows */
+  IndexType dense_row_count ; /* remove rows with more entries than this */
+  IndexType dense_col_count ; /* remove cols with more entries than this */
+  IndexType min_score ;   /* smallest column score */
+  IndexType max_deg ;   /* maximum row degree */
+  IndexType next_col ;    /* Used to add to degree list.*/
+
+
+  /* === Extract knobs ==================================================== */
+
+  dense_row_count = numext::maxi(IndexType(0), numext::mini(IndexType(knobs [COLAMD_DENSE_ROW] * n_col), n_col)) ;
+  dense_col_count = numext::maxi(IndexType(0), numext::mini(IndexType(knobs [COLAMD_DENSE_COL] * n_row), n_row)) ;
+  COLAMD_DEBUG1 (("colamd: densecount: %d %d\n", dense_row_count, dense_col_count)) ;
+  max_deg = 0 ;
+  n_col2 = n_col ;
+  n_row2 = n_row ;
+
+  /* === Kill empty columns =============================================== */
+
+  /* Put the empty columns at the end in their natural order, so that LU */
+  /* factorization can proceed as far as possible. */
+  for (c = n_col-1 ; c >= 0 ; c--)
+  {
+    deg = Col [c].length ;
+    if (deg == 0)
+    {
+      /* this is a empty column, kill and order it last */
+      Col [c].shared2.order = --n_col2 ;
+      KILL_PRINCIPAL_COL (c) ;
+    }
+  }
+  COLAMD_DEBUG1 (("colamd: null columns killed: %d\n", n_col - n_col2)) ;
+
+  /* === Kill dense columns =============================================== */
+
+  /* Put the dense columns at the end, in their natural order */
+  for (c = n_col-1 ; c >= 0 ; c--)
+  {
+    /* skip any dead columns */
+    if (COL_IS_DEAD (c))
+    {
+      continue ;
+    }
+    deg = Col [c].length ;
+    if (deg > dense_col_count)
+    {
+      /* this is a dense column, kill and order it last */
+      Col [c].shared2.order = --n_col2 ;
+      /* decrement the row degrees */
+      cp = &A [Col [c].start] ;
+      cp_end = cp + Col [c].length ;
+      while (cp < cp_end)
+      {
+	Row [*cp++].shared1.degree-- ;
+      }
+      KILL_PRINCIPAL_COL (c) ;
+    }
+  }
+  COLAMD_DEBUG1 (("colamd: Dense and null columns killed: %d\n", n_col - n_col2)) ;
+
+  /* === Kill dense and empty rows ======================================== */
+
+  for (r = 0 ; r < n_row ; r++)
+  {
+    deg = Row [r].shared1.degree ;
+    COLAMD_ASSERT (deg >= 0 && deg <= n_col) ;
+    if (deg > dense_row_count || deg == 0)
+    {
+      /* kill a dense or empty row */
+      KILL_ROW (r) ;
+      --n_row2 ;
+    }
+    else
+    {
+      /* keep track of max degree of remaining rows */
+      max_deg = numext::maxi(max_deg, deg) ;
+    }
+  }
+  COLAMD_DEBUG1 (("colamd: Dense and null rows killed: %d\n", n_row - n_row2)) ;
+
+  /* === Compute initial column scores ==================================== */
+
+  /* At this point the row degrees are accurate.  They reflect the number */
+  /* of "live" (non-dense) columns in each row.  No empty rows exist. */
+  /* Some "live" columns may contain only dead rows, however.  These are */
+  /* pruned in the code below. */
+
+  /* now find the initial matlab score for each column */
+  for (c = n_col-1 ; c >= 0 ; c--)
+  {
+    /* skip dead column */
+    if (COL_IS_DEAD (c))
+    {
+      continue ;
+    }
+    score = 0 ;
+    cp = &A [Col [c].start] ;
+    new_cp = cp ;
+    cp_end = cp + Col [c].length ;
+    while (cp < cp_end)
+    {
+      /* get a row */
+      row = *cp++ ;
+      /* skip if dead */
+      if (ROW_IS_DEAD (row))
+      {
+	continue ;
+      }
+      /* compact the column */
+      *new_cp++ = row ;
+      /* add row's external degree */
+      score += Row [row].shared1.degree - 1 ;
+      /* guard against integer overflow */
+      score = numext::mini(score, n_col) ;
+    }
+    /* determine pruned column length */
+    col_length = (IndexType) (new_cp - &A [Col [c].start]) ;
+    if (col_length == 0)
+    {
+      /* a newly-made null column (all rows in this col are "dense" */
+      /* and have already been killed) */
+      COLAMD_DEBUG2 (("Newly null killed: %d\n", c)) ;
+      Col [c].shared2.order = --n_col2 ;
+      KILL_PRINCIPAL_COL (c) ;
+    }
+    else
+    {
+      /* set column length and set score */
+      COLAMD_ASSERT (score >= 0) ;
+      COLAMD_ASSERT (score <= n_col) ;
+      Col [c].length = col_length ;
+      Col [c].shared2.score = score ;
+    }
+  }
+  COLAMD_DEBUG1 (("colamd: Dense, null, and newly-null columns killed: %d\n",
+		  n_col-n_col2)) ;
+
+  /* At this point, all empty rows and columns are dead.  All live columns */
+  /* are "clean" (containing no dead rows) and simplicial (no supercolumns */
+  /* yet).  Rows may contain dead columns, but all live rows contain at */
+  /* least one live column. */
+
+  /* === Initialize degree lists ========================================== */
+
+
+  /* clear the hash buckets */
+  for (c = 0 ; c <= n_col ; c++)
+  {
+    head [c] = COLAMD_EMPTY ;
+  }
+  min_score = n_col ;
+  /* place in reverse order, so low column indices are at the front */
+  /* of the lists.  This is to encourage natural tie-breaking */
+  for (c = n_col-1 ; c >= 0 ; c--)
+  {
+    /* only add principal columns to degree lists */
+    if (COL_IS_ALIVE (c))
+    {
+      COLAMD_DEBUG4 (("place %d score %d minscore %d ncol %d\n",
+		      c, Col [c].shared2.score, min_score, n_col)) ;
+
+      /* === Add columns score to DList =============================== */
+
+      score = Col [c].shared2.score ;
+
+      COLAMD_ASSERT (min_score >= 0) ;
+      COLAMD_ASSERT (min_score <= n_col) ;
+      COLAMD_ASSERT (score >= 0) ;
+      COLAMD_ASSERT (score <= n_col) ;
+      COLAMD_ASSERT (head [score] >= COLAMD_EMPTY) ;
+
+      /* now add this column to dList at proper score location */
+      next_col = head [score] ;
+      Col [c].shared3.prev = COLAMD_EMPTY ;
+      Col [c].shared4.degree_next = next_col ;
+
+      /* if there already was a column with the same score, set its */
+      /* previous pointer to this new column */
+      if (next_col != COLAMD_EMPTY)
+      {
+	Col [next_col].shared3.prev = c ;
+      }
+      head [score] = c ;
+
+      /* see if this score is less than current min */
+      min_score = numext::mini(min_score, score) ;
+
+
+    }
+  }
+
+
+  /* === Return number of remaining columns, and max row degree =========== */
+
+  *p_n_col2 = n_col2 ;
+  *p_n_row2 = n_row2 ;
+  *p_max_deg = max_deg ;
+}
+
+
+/* ========================================================================== */
+/* === find_ordering ======================================================== */
+/* ========================================================================== */
+
+/*
+  Order the principal columns of the supercolumn form of the matrix
+  (no supercolumns on input).  Uses a minimum approximate column minimum
+  degree ordering method.  Not user-callable.
+*/
+template <typename IndexType>
+static IndexType find_ordering /* return the number of garbage collections */
+  (
+    /* === Parameters ======================================================= */
+
+    IndexType n_row,      /* number of rows of A */
+    IndexType n_col,      /* number of columns of A */
+    IndexType Alen,     /* size of A, 2*nnz + n_col or larger */
+    Colamd_Row<IndexType> Row [],    /* of size n_row+1 */
+    colamd_col<IndexType> Col [],    /* of size n_col+1 */
+    IndexType A [],     /* column form and row form of A */
+    IndexType head [],    /* of size n_col+1 */
+    IndexType n_col2,     /* Remaining columns to order */
+    IndexType max_deg,    /* Maximum row degree */
+    IndexType pfree     /* index of first free slot (2*nnz on entry) */
+    )
+{
+  /* === Local variables ================================================== */
+
+  IndexType k ;     /* current pivot ordering step */
+  IndexType pivot_col ;   /* current pivot column */
+  IndexType *cp ;     /* a column pointer */
+  IndexType *rp ;     /* a row pointer */
+  IndexType pivot_row ;   /* current pivot row */
+  IndexType *new_cp ;   /* modified column pointer */
+  IndexType *new_rp ;   /* modified row pointer */
+  IndexType pivot_row_start ; /* pointer to start of pivot row */
+  IndexType pivot_row_degree ;  /* number of columns in pivot row */
+  IndexType pivot_row_length ;  /* number of supercolumns in pivot row */
+  IndexType pivot_col_score ; /* score of pivot column */
+  IndexType needed_memory ;   /* free space needed for pivot row */
+  IndexType *cp_end ;   /* pointer to the end of a column */
+  IndexType *rp_end ;   /* pointer to the end of a row */
+  IndexType row ;     /* a row index */
+  IndexType col ;     /* a column index */
+  IndexType max_score ;   /* maximum possible score */
+  IndexType cur_score ;   /* score of current column */
+  unsigned int hash ;   /* hash value for supernode detection */
+  IndexType head_column ;   /* head of hash bucket */
+  IndexType first_col ;   /* first column in hash bucket */
+  IndexType tag_mark ;    /* marker value for mark array */
+  IndexType row_mark ;    /* Row [row].shared2.mark */
+  IndexType set_difference ;  /* set difference size of row with pivot row */
+  IndexType min_score ;   /* smallest column score */
+  IndexType col_thickness ;   /* "thickness" (no. of columns in a supercol) */
+  IndexType max_mark ;    /* maximum value of tag_mark */
+  IndexType pivot_col_thickness ; /* number of columns represented by pivot col */
+  IndexType prev_col ;    /* Used by Dlist operations. */
+  IndexType next_col ;    /* Used by Dlist operations. */
+  IndexType ngarbage ;    /* number of garbage collections performed */
+
+
+  /* === Initialization and clear mark ==================================== */
+
+  max_mark = INT_MAX - n_col ;  /* INT_MAX defined in <limits.h> */
+  tag_mark = Eigen::internal::clear_mark (n_row, Row) ;
+  min_score = 0 ;
+  ngarbage = 0 ;
+  COLAMD_DEBUG1 (("colamd: Ordering, n_col2=%d\n", n_col2)) ;
+
+  /* === Order the columns ================================================ */
+
+  for (k = 0 ; k < n_col2 ; /* 'k' is incremented below */)
+  {
+
+    /* === Select pivot column, and order it ============================ */
+
+    /* make sure degree list isn't empty */
+    COLAMD_ASSERT (min_score >= 0) ;
+    COLAMD_ASSERT (min_score <= n_col) ;
+    COLAMD_ASSERT (head [min_score] >= COLAMD_EMPTY) ;
+
+    /* get pivot column from head of minimum degree list */
+    while (min_score < n_col && head [min_score] == COLAMD_EMPTY)
+    {
+      min_score++ ;
+    }
+    pivot_col = head [min_score] ;
+    COLAMD_ASSERT (pivot_col >= 0 && pivot_col <= n_col) ;
+    next_col = Col [pivot_col].shared4.degree_next ;
+    head [min_score] = next_col ;
+    if (next_col != COLAMD_EMPTY)
+    {
+      Col [next_col].shared3.prev = COLAMD_EMPTY ;
+    }
+
+    COLAMD_ASSERT (COL_IS_ALIVE (pivot_col)) ;
+    COLAMD_DEBUG3 (("Pivot col: %d\n", pivot_col)) ;
+
+    /* remember score for defrag check */
+    pivot_col_score = Col [pivot_col].shared2.score ;
+
+    /* the pivot column is the kth column in the pivot order */
+    Col [pivot_col].shared2.order = k ;
+
+    /* increment order count by column thickness */
+    pivot_col_thickness = Col [pivot_col].shared1.thickness ;
+    k += pivot_col_thickness ;
+    COLAMD_ASSERT (pivot_col_thickness > 0) ;
+
+    /* === Garbage_collection, if necessary ============================= */
+
+    needed_memory = numext::mini(pivot_col_score, n_col - k) ;
+    if (pfree + needed_memory >= Alen)
+    {
+      pfree = Eigen::internal::garbage_collection (n_row, n_col, Row, Col, A, &A [pfree]) ;
+      ngarbage++ ;
+      /* after garbage collection we will have enough */
+      COLAMD_ASSERT (pfree + needed_memory < Alen) ;
+      /* garbage collection has wiped out the Row[].shared2.mark array */
+      tag_mark = Eigen::internal::clear_mark (n_row, Row) ;
+
+    }
+
+    /* === Compute pivot row pattern ==================================== */
+
+    /* get starting location for this new merged row */
+    pivot_row_start = pfree ;
+
+    /* initialize new row counts to zero */
+    pivot_row_degree = 0 ;
+
+    /* tag pivot column as having been visited so it isn't included */
+    /* in merged pivot row */
+    Col [pivot_col].shared1.thickness = -pivot_col_thickness ;
+
+    /* pivot row is the union of all rows in the pivot column pattern */
+    cp = &A [Col [pivot_col].start] ;
+    cp_end = cp + Col [pivot_col].length ;
+    while (cp < cp_end)
+    {
+      /* get a row */
+      row = *cp++ ;
+      COLAMD_DEBUG4 (("Pivot col pattern %d %d\n", ROW_IS_ALIVE (row), row)) ;
+      /* skip if row is dead */
+      if (ROW_IS_DEAD (row))
+      {
+	continue ;
+      }
+      rp = &A [Row [row].start] ;
+      rp_end = rp + Row [row].length ;
+      while (rp < rp_end)
+      {
+	/* get a column */
+	col = *rp++ ;
+	/* add the column, if alive and untagged */
+	col_thickness = Col [col].shared1.thickness ;
+	if (col_thickness > 0 && COL_IS_ALIVE (col))
+	{
+	  /* tag column in pivot row */
+	  Col [col].shared1.thickness = -col_thickness ;
+	  COLAMD_ASSERT (pfree < Alen) ;
+	  /* place column in pivot row */
+	  A [pfree++] = col ;
+	  pivot_row_degree += col_thickness ;
+	}
+      }
+    }
+
+    /* clear tag on pivot column */
+    Col [pivot_col].shared1.thickness = pivot_col_thickness ;
+    max_deg = numext::maxi(max_deg, pivot_row_degree) ;
+
+
+    /* === Kill all rows used to construct pivot row ==================== */
+
+    /* also kill pivot row, temporarily */
+    cp = &A [Col [pivot_col].start] ;
+    cp_end = cp + Col [pivot_col].length ;
+    while (cp < cp_end)
+    {
+      /* may be killing an already dead row */
+      row = *cp++ ;
+      COLAMD_DEBUG3 (("Kill row in pivot col: %d\n", row)) ;
+      KILL_ROW (row) ;
+    }
+
+    /* === Select a row index to use as the new pivot row =============== */
+
+    pivot_row_length = pfree - pivot_row_start ;
+    if (pivot_row_length > 0)
+    {
+      /* pick the "pivot" row arbitrarily (first row in col) */
+      pivot_row = A [Col [pivot_col].start] ;
+      COLAMD_DEBUG3 (("Pivotal row is %d\n", pivot_row)) ;
+    }
+    else
+    {
+      /* there is no pivot row, since it is of zero length */
+      pivot_row = COLAMD_EMPTY ;
+      COLAMD_ASSERT (pivot_row_length == 0) ;
+    }
+    COLAMD_ASSERT (Col [pivot_col].length > 0 || pivot_row_length == 0) ;
+
+    /* === Approximate degree computation =============================== */
+
+    /* Here begins the computation of the approximate degree.  The column */
+    /* score is the sum of the pivot row "length", plus the size of the */
+    /* set differences of each row in the column minus the pattern of the */
+    /* pivot row itself.  The column ("thickness") itself is also */
+    /* excluded from the column score (we thus use an approximate */
+    /* external degree). */
+
+    /* The time taken by the following code (compute set differences, and */
+    /* add them up) is proportional to the size of the data structure */
+    /* being scanned - that is, the sum of the sizes of each column in */
+    /* the pivot row.  Thus, the amortized time to compute a column score */
+    /* is proportional to the size of that column (where size, in this */
+    /* context, is the column "length", or the number of row indices */
+    /* in that column).  The number of row indices in a column is */
+    /* monotonically non-decreasing, from the length of the original */
+    /* column on input to colamd. */
+
+    /* === Compute set differences ====================================== */
+
+    COLAMD_DEBUG3 (("** Computing set differences phase. **\n")) ;
+
+    /* pivot row is currently dead - it will be revived later. */
+
+    COLAMD_DEBUG3 (("Pivot row: ")) ;
+    /* for each column in pivot row */
+    rp = &A [pivot_row_start] ;
+    rp_end = rp + pivot_row_length ;
+    while (rp < rp_end)
+    {
+      col = *rp++ ;
+      COLAMD_ASSERT (COL_IS_ALIVE (col) && col != pivot_col) ;
+      COLAMD_DEBUG3 (("Col: %d\n", col)) ;
+
+      /* clear tags used to construct pivot row pattern */
+      col_thickness = -Col [col].shared1.thickness ;
+      COLAMD_ASSERT (col_thickness > 0) ;
+      Col [col].shared1.thickness = col_thickness ;
+
+      /* === Remove column from degree list =========================== */
+
+      cur_score = Col [col].shared2.score ;
+      prev_col = Col [col].shared3.prev ;
+      next_col = Col [col].shared4.degree_next ;
+      COLAMD_ASSERT (cur_score >= 0) ;
+      COLAMD_ASSERT (cur_score <= n_col) ;
+      COLAMD_ASSERT (cur_score >= COLAMD_EMPTY) ;
+      if (prev_col == COLAMD_EMPTY)
+      {
+	head [cur_score] = next_col ;
+      }
+      else
+      {
+	Col [prev_col].shared4.degree_next = next_col ;
+      }
+      if (next_col != COLAMD_EMPTY)
+      {
+	Col [next_col].shared3.prev = prev_col ;
+      }
+
+      /* === Scan the column ========================================== */
+
+      cp = &A [Col [col].start] ;
+      cp_end = cp + Col [col].length ;
+      while (cp < cp_end)
+      {
+	/* get a row */
+	row = *cp++ ;
+	row_mark = Row [row].shared2.mark ;
+	/* skip if dead */
+	if (ROW_IS_MARKED_DEAD (row_mark))
+	{
+	  continue ;
+	}
+	COLAMD_ASSERT (row != pivot_row) ;
+	set_difference = row_mark - tag_mark ;
+	/* check if the row has been seen yet */
+	if (set_difference < 0)
+	{
+	  COLAMD_ASSERT (Row [row].shared1.degree <= max_deg) ;
+	  set_difference = Row [row].shared1.degree ;
+	}
+	/* subtract column thickness from this row's set difference */
+	set_difference -= col_thickness ;
+	COLAMD_ASSERT (set_difference >= 0) ;
+	/* absorb this row if the set difference becomes zero */
+	if (set_difference == 0)
+	{
+	  COLAMD_DEBUG3 (("aggressive absorption. Row: %d\n", row)) ;
+	  KILL_ROW (row) ;
+	}
+	else
+	{
+	  /* save the new mark */
+	  Row [row].shared2.mark = set_difference + tag_mark ;
+	}
+      }
+    }
+
+
+    /* === Add up set differences for each column ======================= */
+
+    COLAMD_DEBUG3 (("** Adding set differences phase. **\n")) ;
+
+    /* for each column in pivot row */
+    rp = &A [pivot_row_start] ;
+    rp_end = rp + pivot_row_length ;
+    while (rp < rp_end)
+    {
+      /* get a column */
+      col = *rp++ ;
+      COLAMD_ASSERT (COL_IS_ALIVE (col) && col != pivot_col) ;
+      hash = 0 ;
+      cur_score = 0 ;
+      cp = &A [Col [col].start] ;
+      /* compact the column */
+      new_cp = cp ;
+      cp_end = cp + Col [col].length ;
+
+      COLAMD_DEBUG4 (("Adding set diffs for Col: %d.\n", col)) ;
+
+      while (cp < cp_end)
+      {
+	/* get a row */
+	row = *cp++ ;
+	COLAMD_ASSERT(row >= 0 && row < n_row) ;
+	row_mark = Row [row].shared2.mark ;
+	/* skip if dead */
+	if (ROW_IS_MARKED_DEAD (row_mark))
+	{
+	  continue ;
+	}
+	COLAMD_ASSERT (row_mark > tag_mark) ;
+	/* compact the column */
+	*new_cp++ = row ;
+	/* compute hash function */
+	hash += row ;
+	/* add set difference */
+	cur_score += row_mark - tag_mark ;
+	/* integer overflow... */
+	cur_score = numext::mini(cur_score, n_col) ;
+      }
+
+      /* recompute the column's length */
+      Col [col].length = (IndexType) (new_cp - &A [Col [col].start]) ;
+
+      /* === Further mass elimination ================================= */
+
+      if (Col [col].length == 0)
+      {
+	COLAMD_DEBUG4 (("further mass elimination. Col: %d\n", col)) ;
+	/* nothing left but the pivot row in this column */
+	KILL_PRINCIPAL_COL (col) ;
+	pivot_row_degree -= Col [col].shared1.thickness ;
+	COLAMD_ASSERT (pivot_row_degree >= 0) ;
+	/* order it */
+	Col [col].shared2.order = k ;
+	/* increment order count by column thickness */
+	k += Col [col].shared1.thickness ;
+      }
+      else
+      {
+	/* === Prepare for supercolumn detection ==================== */
+
+	COLAMD_DEBUG4 (("Preparing supercol detection for Col: %d.\n", col)) ;
+
+	/* save score so far */
+	Col [col].shared2.score = cur_score ;
+
+	/* add column to hash table, for supercolumn detection */
+	hash %= n_col + 1 ;
+
+	COLAMD_DEBUG4 ((" Hash = %d, n_col = %d.\n", hash, n_col)) ;
+	COLAMD_ASSERT (hash <= n_col) ;
+
+	head_column = head [hash] ;
+	if (head_column > COLAMD_EMPTY)
+	{
+	  /* degree list "hash" is non-empty, use prev (shared3) of */
+	  /* first column in degree list as head of hash bucket */
+	  first_col = Col [head_column].shared3.headhash ;
+	  Col [head_column].shared3.headhash = col ;
+	}
+	else
+	{
+	  /* degree list "hash" is empty, use head as hash bucket */
+	  first_col = - (head_column + 2) ;
+	  head [hash] = - (col + 2) ;
+	}
+	Col [col].shared4.hash_next = first_col ;
+
+	/* save hash function in Col [col].shared3.hash */
+	Col [col].shared3.hash = (IndexType) hash ;
+	COLAMD_ASSERT (COL_IS_ALIVE (col)) ;
+      }
+    }
+
+    /* The approximate external column degree is now computed.  */
+
+    /* === Supercolumn detection ======================================== */
+
+    COLAMD_DEBUG3 (("** Supercolumn detection phase. **\n")) ;
+
+    Eigen::internal::detect_super_cols (Col, A, head, pivot_row_start, pivot_row_length) ;
+
+    /* === Kill the pivotal column ====================================== */
+
+    KILL_PRINCIPAL_COL (pivot_col) ;
+
+    /* === Clear mark =================================================== */
+
+    tag_mark += (max_deg + 1) ;
+    if (tag_mark >= max_mark)
+    {
+      COLAMD_DEBUG2 (("clearing tag_mark\n")) ;
+      tag_mark = Eigen::internal::clear_mark (n_row, Row) ;
+    }
+
+    /* === Finalize the new pivot row, and column scores ================ */
+
+    COLAMD_DEBUG3 (("** Finalize scores phase. **\n")) ;
+
+    /* for each column in pivot row */
+    rp = &A [pivot_row_start] ;
+    /* compact the pivot row */
+    new_rp = rp ;
+    rp_end = rp + pivot_row_length ;
+    while (rp < rp_end)
+    {
+      col = *rp++ ;
+      /* skip dead columns */
+      if (COL_IS_DEAD (col))
+      {
+	continue ;
+      }
+      *new_rp++ = col ;
+      /* add new pivot row to column */
+      A [Col [col].start + (Col [col].length++)] = pivot_row ;
+
+      /* retrieve score so far and add on pivot row's degree. */
+      /* (we wait until here for this in case the pivot */
+      /* row's degree was reduced due to mass elimination). */
+      cur_score = Col [col].shared2.score + pivot_row_degree ;
+
+      /* calculate the max possible score as the number of */
+      /* external columns minus the 'k' value minus the */
+      /* columns thickness */
+      max_score = n_col - k - Col [col].shared1.thickness ;
+
+      /* make the score the external degree of the union-of-rows */
+      cur_score -= Col [col].shared1.thickness ;
+
+      /* make sure score is less or equal than the max score */
+      cur_score = numext::mini(cur_score, max_score) ;
+      COLAMD_ASSERT (cur_score >= 0) ;
+
+      /* store updated score */
+      Col [col].shared2.score = cur_score ;
+
+      /* === Place column back in degree list ========================= */
+
+      COLAMD_ASSERT (min_score >= 0) ;
+      COLAMD_ASSERT (min_score <= n_col) ;
+      COLAMD_ASSERT (cur_score >= 0) ;
+      COLAMD_ASSERT (cur_score <= n_col) ;
+      COLAMD_ASSERT (head [cur_score] >= COLAMD_EMPTY) ;
+      next_col = head [cur_score] ;
+      Col [col].shared4.degree_next = next_col ;
+      Col [col].shared3.prev = COLAMD_EMPTY ;
+      if (next_col != COLAMD_EMPTY)
+      {
+	Col [next_col].shared3.prev = col ;
+      }
+      head [cur_score] = col ;
+
+      /* see if this score is less than current min */
+      min_score = numext::mini(min_score, cur_score) ;
+
+    }
+
+    /* === Resurrect the new pivot row ================================== */
+
+    if (pivot_row_degree > 0)
+    {
+      /* update pivot row length to reflect any cols that were killed */
+      /* during super-col detection and mass elimination */
+      Row [pivot_row].start  = pivot_row_start ;
+      Row [pivot_row].length = (IndexType) (new_rp - &A[pivot_row_start]) ;
+      Row [pivot_row].shared1.degree = pivot_row_degree ;
+      Row [pivot_row].shared2.mark = 0 ;
+      /* pivot row is no longer dead */
+    }
+  }
+
+  /* === All principal columns have now been ordered ====================== */
+
+  return (ngarbage) ;
+}
+
+
+/* ========================================================================== */
+/* === order_children ======================================================= */
+/* ========================================================================== */
+
+/*
+  The find_ordering routine has ordered all of the principal columns (the
+  representatives of the supercolumns).  The non-principal columns have not
+  yet been ordered.  This routine orders those columns by walking up the
+  parent tree (a column is a child of the column which absorbed it).  The
+  final permutation vector is then placed in p [0 ... n_col-1], with p [0]
+  being the first column, and p [n_col-1] being the last.  It doesn't look
+  like it at first glance, but be assured that this routine takes time linear
+  in the number of columns.  Although not immediately obvious, the time
+  taken by this routine is O (n_col), that is, linear in the number of
+  columns.  Not user-callable.
+*/
+template <typename IndexType>
+static inline  void order_children
+(
+  /* === Parameters ======================================================= */
+
+  IndexType n_col,      /* number of columns of A */
+  colamd_col<IndexType> Col [],    /* of size n_col+1 */
+  IndexType p []      /* p [0 ... n_col-1] is the column permutation*/
+  )
+{
+  /* === Local variables ================================================== */
+
+  IndexType i ;     /* loop counter for all columns */
+  IndexType c ;     /* column index */
+  IndexType parent ;    /* index of column's parent */
+  IndexType order ;     /* column's order */
+
+  /* === Order each non-principal column ================================== */
+
+  for (i = 0 ; i < n_col ; i++)
+  {
+    /* find an un-ordered non-principal column */
+    COLAMD_ASSERT (COL_IS_DEAD (i)) ;
+    if (!COL_IS_DEAD_PRINCIPAL (i) && Col [i].shared2.order == COLAMD_EMPTY)
+    {
+      parent = i ;
+      /* once found, find its principal parent */
+      do
+      {
+	parent = Col [parent].shared1.parent ;
+      } while (!COL_IS_DEAD_PRINCIPAL (parent)) ;
+
+      /* now, order all un-ordered non-principal columns along path */
+      /* to this parent.  collapse tree at the same time */
+      c = i ;
+      /* get order of parent */
+      order = Col [parent].shared2.order ;
+
+      do
+      {
+	COLAMD_ASSERT (Col [c].shared2.order == COLAMD_EMPTY) ;
+
+	/* order this column */
+	Col [c].shared2.order = order++ ;
+	/* collaps tree */
+	Col [c].shared1.parent = parent ;
+
+	/* get immediate parent of this column */
+	c = Col [c].shared1.parent ;
+
+	/* continue until we hit an ordered column.  There are */
+	/* guarranteed not to be anymore unordered columns */
+	/* above an ordered column */
+      } while (Col [c].shared2.order == COLAMD_EMPTY) ;
+
+      /* re-order the super_col parent to largest order for this group */
+      Col [parent].shared2.order = order ;
+    }
+  }
+
+  /* === Generate the permutation ========================================= */
+
+  for (c = 0 ; c < n_col ; c++)
+  {
+    p [Col [c].shared2.order] = c ;
+  }
+}
+
+
+/* ========================================================================== */
+/* === detect_super_cols ==================================================== */
+/* ========================================================================== */
+
+/*
+  Detects supercolumns by finding matches between columns in the hash buckets.
+  Check amongst columns in the set A [row_start ... row_start + row_length-1].
+  The columns under consideration are currently *not* in the degree lists,
+  and have already been placed in the hash buckets.
+
+  The hash bucket for columns whose hash function is equal to h is stored
+  as follows:
+
+  if head [h] is >= 0, then head [h] contains a degree list, so:
+
+  head [h] is the first column in degree bucket h.
+  Col [head [h]].headhash gives the first column in hash bucket h.
+
+  otherwise, the degree list is empty, and:
+
+  -(head [h] + 2) is the first column in hash bucket h.
+
+  For a column c in a hash bucket, Col [c].shared3.prev is NOT a "previous
+  column" pointer.  Col [c].shared3.hash is used instead as the hash number
+  for that column.  The value of Col [c].shared4.hash_next is the next column
+  in the same hash bucket.
+
+  Assuming no, or "few" hash collisions, the time taken by this routine is
+  linear in the sum of the sizes (lengths) of each column whose score has
+  just been computed in the approximate degree computation.
+  Not user-callable.
+*/
+template <typename IndexType>
+static void detect_super_cols
+(
+  /* === Parameters ======================================================= */
+  
+  colamd_col<IndexType> Col [],    /* of size n_col+1 */
+  IndexType A [],     /* row indices of A */
+  IndexType head [],    /* head of degree lists and hash buckets */
+  IndexType row_start,    /* pointer to set of columns to check */
+  IndexType row_length    /* number of columns to check */
+)
+{
+  /* === Local variables ================================================== */
+
+  IndexType hash ;      /* hash value for a column */
+  IndexType *rp ;     /* pointer to a row */
+  IndexType c ;     /* a column index */
+  IndexType super_c ;   /* column index of the column to absorb into */
+  IndexType *cp1 ;      /* column pointer for column super_c */
+  IndexType *cp2 ;      /* column pointer for column c */
+  IndexType length ;    /* length of column super_c */
+  IndexType prev_c ;    /* column preceding c in hash bucket */
+  IndexType i ;     /* loop counter */
+  IndexType *rp_end ;   /* pointer to the end of the row */
+  IndexType col ;     /* a column index in the row to check */
+  IndexType head_column ;   /* first column in hash bucket or degree list */
+  IndexType first_col ;   /* first column in hash bucket */
+
+  /* === Consider each column in the row ================================== */
+
+  rp = &A [row_start] ;
+  rp_end = rp + row_length ;
+  while (rp < rp_end)
+  {
+    col = *rp++ ;
+    if (COL_IS_DEAD (col))
+    {
+      continue ;
+    }
+
+    /* get hash number for this column */
+    hash = Col [col].shared3.hash ;
+    COLAMD_ASSERT (hash <= n_col) ;
+
+    /* === Get the first column in this hash bucket ===================== */
+
+    head_column = head [hash] ;
+    if (head_column > COLAMD_EMPTY)
+    {
+      first_col = Col [head_column].shared3.headhash ;
+    }
+    else
+    {
+      first_col = - (head_column + 2) ;
+    }
+
+    /* === Consider each column in the hash bucket ====================== */
+
+    for (super_c = first_col ; super_c != COLAMD_EMPTY ;
+	 super_c = Col [super_c].shared4.hash_next)
+    {
+      COLAMD_ASSERT (COL_IS_ALIVE (super_c)) ;
+      COLAMD_ASSERT (Col [super_c].shared3.hash == hash) ;
+      length = Col [super_c].length ;
+
+      /* prev_c is the column preceding column c in the hash bucket */
+      prev_c = super_c ;
+
+      /* === Compare super_c with all columns after it ================ */
+
+      for (c = Col [super_c].shared4.hash_next ;
+	   c != COLAMD_EMPTY ; c = Col [c].shared4.hash_next)
+      {
+	COLAMD_ASSERT (c != super_c) ;
+	COLAMD_ASSERT (COL_IS_ALIVE (c)) ;
+	COLAMD_ASSERT (Col [c].shared3.hash == hash) ;
+
+	/* not identical if lengths or scores are different */
+	if (Col [c].length != length ||
+	    Col [c].shared2.score != Col [super_c].shared2.score)
+	{
+	  prev_c = c ;
+	  continue ;
+	}
+
+	/* compare the two columns */
+	cp1 = &A [Col [super_c].start] ;
+	cp2 = &A [Col [c].start] ;
+
+	for (i = 0 ; i < length ; i++)
+	{
+	  /* the columns are "clean" (no dead rows) */
+	  COLAMD_ASSERT (ROW_IS_ALIVE (*cp1))  ;
+	  COLAMD_ASSERT (ROW_IS_ALIVE (*cp2))  ;
+	  /* row indices will same order for both supercols, */
+	  /* no gather scatter nessasary */
+	  if (*cp1++ != *cp2++)
+	  {
+	    break ;
+	  }
+	}
+
+	/* the two columns are different if the for-loop "broke" */
+	if (i != length)
+	{
+	  prev_c = c ;
+	  continue ;
+	}
+
+	/* === Got it!  two columns are identical =================== */
+
+	COLAMD_ASSERT (Col [c].shared2.score == Col [super_c].shared2.score) ;
+
+	Col [super_c].shared1.thickness += Col [c].shared1.thickness ;
+	Col [c].shared1.parent = super_c ;
+	KILL_NON_PRINCIPAL_COL (c) ;
+	/* order c later, in order_children() */
+	Col [c].shared2.order = COLAMD_EMPTY ;
+	/* remove c from hash bucket */
+	Col [prev_c].shared4.hash_next = Col [c].shared4.hash_next ;
+      }
+    }
+
+    /* === Empty this hash bucket ======================================= */
+
+    if (head_column > COLAMD_EMPTY)
+    {
+      /* corresponding degree list "hash" is not empty */
+      Col [head_column].shared3.headhash = COLAMD_EMPTY ;
+    }
+    else
+    {
+      /* corresponding degree list "hash" is empty */
+      head [hash] = COLAMD_EMPTY ;
+    }
+  }
+}
+
+
+/* ========================================================================== */
+/* === garbage_collection =================================================== */
+/* ========================================================================== */
+
+/*
+  Defragments and compacts columns and rows in the workspace A.  Used when
+  all avaliable memory has been used while performing row merging.  Returns
+  the index of the first free position in A, after garbage collection.  The
+  time taken by this routine is linear is the size of the array A, which is
+  itself linear in the number of nonzeros in the input matrix.
+  Not user-callable.
+*/
+template <typename IndexType>
+static IndexType garbage_collection  /* returns the new value of pfree */
+  (
+    /* === Parameters ======================================================= */
+    
+    IndexType n_row,      /* number of rows */
+    IndexType n_col,      /* number of columns */
+    Colamd_Row<IndexType> Row [],    /* row info */
+    colamd_col<IndexType> Col [],    /* column info */
+    IndexType A [],     /* A [0 ... Alen-1] holds the matrix */
+    IndexType *pfree      /* &A [0] ... pfree is in use */
+    )
+{
+  /* === Local variables ================================================== */
+
+  IndexType *psrc ;     /* source pointer */
+  IndexType *pdest ;    /* destination pointer */
+  IndexType j ;     /* counter */
+  IndexType r ;     /* a row index */
+  IndexType c ;     /* a column index */
+  IndexType length ;    /* length of a row or column */
+
+  /* === Defragment the columns =========================================== */
+
+  pdest = &A[0] ;
+  for (c = 0 ; c < n_col ; c++)
+  {
+    if (COL_IS_ALIVE (c))
+    {
+      psrc = &A [Col [c].start] ;
+
+      /* move and compact the column */
+      COLAMD_ASSERT (pdest <= psrc) ;
+      Col [c].start = (IndexType) (pdest - &A [0]) ;
+      length = Col [c].length ;
+      for (j = 0 ; j < length ; j++)
+      {
+	r = *psrc++ ;
+	if (ROW_IS_ALIVE (r))
+	{
+	  *pdest++ = r ;
+	}
+      }
+      Col [c].length = (IndexType) (pdest - &A [Col [c].start]) ;
+    }
+  }
+
+  /* === Prepare to defragment the rows =================================== */
+
+  for (r = 0 ; r < n_row ; r++)
+  {
+    if (ROW_IS_ALIVE (r))
+    {
+      if (Row [r].length == 0)
+      {
+	/* this row is of zero length.  cannot compact it, so kill it */
+	COLAMD_DEBUG3 (("Defrag row kill\n")) ;
+	KILL_ROW (r) ;
+      }
+      else
+      {
+	/* save first column index in Row [r].shared2.first_column */
+	psrc = &A [Row [r].start] ;
+	Row [r].shared2.first_column = *psrc ;
+	COLAMD_ASSERT (ROW_IS_ALIVE (r)) ;
+	/* flag the start of the row with the one's complement of row */
+	*psrc = ONES_COMPLEMENT (r) ;
+
+      }
+    }
+  }
+
+  /* === Defragment the rows ============================================== */
+
+  psrc = pdest ;
+  while (psrc < pfree)
+  {
+    /* find a negative number ... the start of a row */
+    if (*psrc++ < 0)
+    {
+      psrc-- ;
+      /* get the row index */
+      r = ONES_COMPLEMENT (*psrc) ;
+      COLAMD_ASSERT (r >= 0 && r < n_row) ;
+      /* restore first column index */
+      *psrc = Row [r].shared2.first_column ;
+      COLAMD_ASSERT (ROW_IS_ALIVE (r)) ;
+
+      /* move and compact the row */
+      COLAMD_ASSERT (pdest <= psrc) ;
+      Row [r].start = (IndexType) (pdest - &A [0]) ;
+      length = Row [r].length ;
+      for (j = 0 ; j < length ; j++)
+      {
+	c = *psrc++ ;
+	if (COL_IS_ALIVE (c))
+	{
+	  *pdest++ = c ;
+	}
+      }
+      Row [r].length = (IndexType) (pdest - &A [Row [r].start]) ;
+
+    }
+  }
+  /* ensure we found all the rows */
+  COLAMD_ASSERT (debug_rows == 0) ;
+
+  /* === Return the new value of pfree ==================================== */
+
+  return ((IndexType) (pdest - &A [0])) ;
+}
+
+
+/* ========================================================================== */
+/* === clear_mark =========================================================== */
+/* ========================================================================== */
+
+/*
+  Clears the Row [].shared2.mark array, and returns the new tag_mark.
+  Return value is the new tag_mark.  Not user-callable.
+*/
+template <typename IndexType>
+static inline  IndexType clear_mark  /* return the new value for tag_mark */
+  (
+      /* === Parameters ======================================================= */
+
+    IndexType n_row,    /* number of rows in A */
+    Colamd_Row<IndexType> Row [] /* Row [0 ... n_row-1].shared2.mark is set to zero */
+    )
+{
+  /* === Local variables ================================================== */
+
+  IndexType r ;
+
+  for (r = 0 ; r < n_row ; r++)
+  {
+    if (ROW_IS_ALIVE (r))
+    {
+      Row [r].shared2.mark = 0 ;
+    }
+  }
+  return (1) ;
+}
+
+
+} // namespace internal 
+#endif
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/PardisoSupport/PardisoSupport.h
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/PardisoSupport/PardisoSupport.h	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/PardisoSupport/PardisoSupport.h	(revision 3761)
@@ -0,0 +1,544 @@
+/*
+ Copyright (c) 2011, Intel Corporation. All rights reserved.
+
+ Redistribution and use in source and binary forms, with or without modification,
+ are permitted provided that the following conditions are met:
+
+ * Redistributions of source code must retain the above copyright notice, this
+   list of conditions and the following disclaimer.
+ * Redistributions in binary form must reproduce the above copyright notice,
+   this list of conditions and the following disclaimer in the documentation
+   and/or other materials provided with the distribution.
+ * Neither the name of Intel Corporation nor the names of its contributors may
+   be used to endorse or promote products derived from this software without
+   specific prior written permission.
+
+ THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND
+ ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED
+ WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
+ DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE LIABLE FOR
+ ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES
+ (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES;
+ LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON
+ ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
+ (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS
+ SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
+
+ ********************************************************************************
+ *   Content : Eigen bindings to Intel(R) MKL PARDISO
+ ********************************************************************************
+*/
+
+#ifndef EIGEN_PARDISOSUPPORT_H
+#define EIGEN_PARDISOSUPPORT_H
+
+namespace Eigen { 
+
+template<typename _MatrixType> class PardisoLU;
+template<typename _MatrixType, int Options=Upper> class PardisoLLT;
+template<typename _MatrixType, int Options=Upper> class PardisoLDLT;
+
+namespace internal
+{
+  template<typename IndexType>
+  struct pardiso_run_selector
+  {
+    static IndexType run( _MKL_DSS_HANDLE_t pt, IndexType maxfct, IndexType mnum, IndexType type, IndexType phase, IndexType n, void *a,
+                      IndexType *ia, IndexType *ja, IndexType *perm, IndexType nrhs, IndexType *iparm, IndexType msglvl, void *b, void *x)
+    {
+      IndexType error = 0;
+      ::pardiso(pt, &maxfct, &mnum, &type, &phase, &n, a, ia, ja, perm, &nrhs, iparm, &msglvl, b, x, &error);
+      return error;
+    }
+  };
+  template<>
+  struct pardiso_run_selector<long long int>
+  {
+    typedef long long int IndexType;
+    static IndexType run( _MKL_DSS_HANDLE_t pt, IndexType maxfct, IndexType mnum, IndexType type, IndexType phase, IndexType n, void *a,
+                      IndexType *ia, IndexType *ja, IndexType *perm, IndexType nrhs, IndexType *iparm, IndexType msglvl, void *b, void *x)
+    {
+      IndexType error = 0;
+      ::pardiso_64(pt, &maxfct, &mnum, &type, &phase, &n, a, ia, ja, perm, &nrhs, iparm, &msglvl, b, x, &error);
+      return error;
+    }
+  };
+
+  template<class Pardiso> struct pardiso_traits;
+
+  template<typename _MatrixType>
+  struct pardiso_traits< PardisoLU<_MatrixType> >
+  {
+    typedef _MatrixType MatrixType;
+    typedef typename _MatrixType::Scalar Scalar;
+    typedef typename _MatrixType::RealScalar RealScalar;
+    typedef typename _MatrixType::StorageIndex StorageIndex;
+  };
+
+  template<typename _MatrixType, int Options>
+  struct pardiso_traits< PardisoLLT<_MatrixType, Options> >
+  {
+    typedef _MatrixType MatrixType;
+    typedef typename _MatrixType::Scalar Scalar;
+    typedef typename _MatrixType::RealScalar RealScalar;
+    typedef typename _MatrixType::StorageIndex StorageIndex;
+  };
+
+  template<typename _MatrixType, int Options>
+  struct pardiso_traits< PardisoLDLT<_MatrixType, Options> >
+  {
+    typedef _MatrixType MatrixType;
+    typedef typename _MatrixType::Scalar Scalar;
+    typedef typename _MatrixType::RealScalar RealScalar;
+    typedef typename _MatrixType::StorageIndex StorageIndex;    
+  };
+
+} // end namespace internal
+
+template<class Derived>
+class PardisoImpl : public SparseSolverBase<Derived>
+{
+  protected:
+    typedef SparseSolverBase<Derived> Base;
+    using Base::derived;
+    using Base::m_isInitialized;
+    
+    typedef internal::pardiso_traits<Derived> Traits;
+  public:
+    using Base::_solve_impl;
+    
+    typedef typename Traits::MatrixType MatrixType;
+    typedef typename Traits::Scalar Scalar;
+    typedef typename Traits::RealScalar RealScalar;
+    typedef typename Traits::StorageIndex StorageIndex;
+    typedef SparseMatrix<Scalar,RowMajor,StorageIndex> SparseMatrixType;
+    typedef Matrix<Scalar,Dynamic,1> VectorType;
+    typedef Matrix<StorageIndex, 1, MatrixType::ColsAtCompileTime> IntRowVectorType;
+    typedef Matrix<StorageIndex, MatrixType::RowsAtCompileTime, 1> IntColVectorType;
+    typedef Array<StorageIndex,64,1,DontAlign> ParameterType;
+    enum {
+      ScalarIsComplex = NumTraits<Scalar>::IsComplex,
+      ColsAtCompileTime = Dynamic,
+      MaxColsAtCompileTime = Dynamic
+    };
+
+    PardisoImpl()
+    {
+      eigen_assert((sizeof(StorageIndex) >= sizeof(_INTEGER_t) && sizeof(StorageIndex) <= 8) && "Non-supported index type");
+      m_iparm.setZero();
+      m_msglvl = 0; // No output
+      m_isInitialized = false;
+    }
+
+    ~PardisoImpl()
+    {
+      pardisoRelease();
+    }
+
+    inline Index cols() const { return m_size; }
+    inline Index rows() const { return m_size; }
+  
+    /** \brief Reports whether previous computation was successful.
+      *
+      * \returns \c Success if computation was succesful,
+      *          \c NumericalIssue if the matrix appears to be negative.
+      */
+    ComputationInfo info() const
+    {
+      eigen_assert(m_isInitialized && "Decomposition is not initialized.");
+      return m_info;
+    }
+
+    /** \warning for advanced usage only.
+      * \returns a reference to the parameter array controlling PARDISO.
+      * See the PARDISO manual to know how to use it. */
+    ParameterType& pardisoParameterArray()
+    {
+      return m_iparm;
+    }
+    
+    /** Performs a symbolic decomposition on the sparcity of \a matrix.
+      *
+      * This function is particularly useful when solving for several problems having the same structure.
+      * 
+      * \sa factorize()
+      */
+    Derived& analyzePattern(const MatrixType& matrix);
+    
+    /** Performs a numeric decomposition of \a matrix
+      *
+      * The given matrix must has the same sparcity than the matrix on which the symbolic decomposition has been performed.
+      *
+      * \sa analyzePattern()
+      */
+    Derived& factorize(const MatrixType& matrix);
+
+    Derived& compute(const MatrixType& matrix);
+
+    template<typename Rhs,typename Dest>
+    void _solve_impl(const MatrixBase<Rhs> &b, MatrixBase<Dest> &dest) const;
+
+  protected:
+    void pardisoRelease()
+    {
+      if(m_isInitialized) // Factorization ran at least once
+      {
+        internal::pardiso_run_selector<StorageIndex>::run(m_pt, 1, 1, m_type, -1, internal::convert_index<StorageIndex>(m_size),0, 0, 0, m_perm.data(), 0,
+                                                          m_iparm.data(), m_msglvl, NULL, NULL);
+        m_isInitialized = false;
+      }
+    }
+
+    void pardisoInit(int type)
+    {
+      m_type = type;
+      EIGEN_USING_STD_MATH(abs);
+      bool symmetric = abs(m_type) < 10;
+      m_iparm[0] = 1;   // No solver default
+      m_iparm[1] = 2;   // use Metis for the ordering
+      m_iparm[2] = 0;   // Reserved. Set to zero. (??Numbers of processors, value of OMP_NUM_THREADS??)
+      m_iparm[3] = 0;   // No iterative-direct algorithm
+      m_iparm[4] = 0;   // No user fill-in reducing permutation
+      m_iparm[5] = 0;   // Write solution into x, b is left unchanged
+      m_iparm[6] = 0;   // Not in use
+      m_iparm[7] = 2;   // Max numbers of iterative refinement steps
+      m_iparm[8] = 0;   // Not in use
+      m_iparm[9] = 13;  // Perturb the pivot elements with 1E-13
+      m_iparm[10] = symmetric ? 0 : 1; // Use nonsymmetric permutation and scaling MPS
+      m_iparm[11] = 0;  // Not in use
+      m_iparm[12] = symmetric ? 0 : 1;  // Maximum weighted matching algorithm is switched-off (default for symmetric).
+                                        // Try m_iparm[12] = 1 in case of inappropriate accuracy
+      m_iparm[13] = 0;  // Output: Number of perturbed pivots
+      m_iparm[14] = 0;  // Not in use
+      m_iparm[15] = 0;  // Not in use
+      m_iparm[16] = 0;  // Not in use
+      m_iparm[17] = -1; // Output: Number of nonzeros in the factor LU
+      m_iparm[18] = -1; // Output: Mflops for LU factorization
+      m_iparm[19] = 0;  // Output: Numbers of CG Iterations
+      
+      m_iparm[20] = 0;  // 1x1 pivoting
+      m_iparm[26] = 0;  // No matrix checker
+      m_iparm[27] = (sizeof(RealScalar) == 4) ? 1 : 0;
+      m_iparm[34] = 1;  // C indexing
+      m_iparm[36] = 0;  // CSR
+      m_iparm[59] = 0;  // 0 - In-Core ; 1 - Automatic switch between In-Core and Out-of-Core modes ; 2 - Out-of-Core
+      
+      memset(m_pt, 0, sizeof(m_pt));
+    }
+
+  protected:
+    // cached data to reduce reallocation, etc.
+    
+    void manageErrorCode(Index error) const
+    {
+      switch(error)
+      {
+        case 0:
+          m_info = Success;
+          break;
+        case -4:
+        case -7:
+          m_info = NumericalIssue;
+          break;
+        default:
+          m_info = InvalidInput;
+      }
+    }
+
+    mutable SparseMatrixType m_matrix;
+    mutable ComputationInfo m_info;
+    bool m_analysisIsOk, m_factorizationIsOk;
+    StorageIndex m_type, m_msglvl;
+    mutable void *m_pt[64];
+    mutable ParameterType m_iparm;
+    mutable IntColVectorType m_perm;
+    Index m_size;
+    
+};
+
+template<class Derived>
+Derived& PardisoImpl<Derived>::compute(const MatrixType& a)
+{
+  m_size = a.rows();
+  eigen_assert(a.rows() == a.cols());
+
+  pardisoRelease();
+  m_perm.setZero(m_size);
+  derived().getMatrix(a);
+  
+  Index error;
+  error = internal::pardiso_run_selector<StorageIndex>::run(m_pt, 1, 1, m_type, 12, internal::convert_index<StorageIndex>(m_size),
+                                                            m_matrix.valuePtr(), m_matrix.outerIndexPtr(), m_matrix.innerIndexPtr(),
+                                                            m_perm.data(), 0, m_iparm.data(), m_msglvl, NULL, NULL);
+  manageErrorCode(error);
+  m_analysisIsOk = true;
+  m_factorizationIsOk = true;
+  m_isInitialized = true;
+  return derived();
+}
+
+template<class Derived>
+Derived& PardisoImpl<Derived>::analyzePattern(const MatrixType& a)
+{
+  m_size = a.rows();
+  eigen_assert(m_size == a.cols());
+
+  pardisoRelease();
+  m_perm.setZero(m_size);
+  derived().getMatrix(a);
+  
+  Index error;
+  error = internal::pardiso_run_selector<StorageIndex>::run(m_pt, 1, 1, m_type, 11, internal::convert_index<StorageIndex>(m_size),
+                                                            m_matrix.valuePtr(), m_matrix.outerIndexPtr(), m_matrix.innerIndexPtr(),
+                                                            m_perm.data(), 0, m_iparm.data(), m_msglvl, NULL, NULL);
+  
+  manageErrorCode(error);
+  m_analysisIsOk = true;
+  m_factorizationIsOk = false;
+  m_isInitialized = true;
+  return derived();
+}
+
+template<class Derived>
+Derived& PardisoImpl<Derived>::factorize(const MatrixType& a)
+{
+  eigen_assert(m_analysisIsOk && "You must first call analyzePattern()");
+  eigen_assert(m_size == a.rows() && m_size == a.cols());
+  
+  derived().getMatrix(a);
+
+  Index error;
+  error = internal::pardiso_run_selector<StorageIndex>::run(m_pt, 1, 1, m_type, 22, internal::convert_index<StorageIndex>(m_size),
+                                                            m_matrix.valuePtr(), m_matrix.outerIndexPtr(), m_matrix.innerIndexPtr(),
+                                                            m_perm.data(), 0, m_iparm.data(), m_msglvl, NULL, NULL);
+  
+  manageErrorCode(error);
+  m_factorizationIsOk = true;
+  return derived();
+}
+
+template<class Derived>
+template<typename BDerived,typename XDerived>
+void PardisoImpl<Derived>::_solve_impl(const MatrixBase<BDerived> &b, MatrixBase<XDerived>& x) const
+{
+  if(m_iparm[0] == 0) // Factorization was not computed
+  {
+    m_info = InvalidInput;
+    return;
+  }
+
+  //Index n = m_matrix.rows();
+  Index nrhs = Index(b.cols());
+  eigen_assert(m_size==b.rows());
+  eigen_assert(((MatrixBase<BDerived>::Flags & RowMajorBit) == 0 || nrhs == 1) && "Row-major right hand sides are not supported");
+  eigen_assert(((MatrixBase<XDerived>::Flags & RowMajorBit) == 0 || nrhs == 1) && "Row-major matrices of unknowns are not supported");
+  eigen_assert(((nrhs == 1) || b.outerStride() == b.rows()));
+
+
+//  switch (transposed) {
+//    case SvNoTrans    : m_iparm[11] = 0 ; break;
+//    case SvTranspose  : m_iparm[11] = 2 ; break;
+//    case SvAdjoint    : m_iparm[11] = 1 ; break;
+//    default:
+//      //std::cerr << "Eigen: transposition  option \"" << transposed << "\" not supported by the PARDISO backend\n";
+//      m_iparm[11] = 0;
+//  }
+
+  Scalar* rhs_ptr = const_cast<Scalar*>(b.derived().data());
+  Matrix<Scalar,Dynamic,Dynamic,ColMajor> tmp;
+  
+  // Pardiso cannot solve in-place
+  if(rhs_ptr == x.derived().data())
+  {
+    tmp = b;
+    rhs_ptr = tmp.data();
+  }
+  
+  Index error;
+  error = internal::pardiso_run_selector<StorageIndex>::run(m_pt, 1, 1, m_type, 33, internal::convert_index<StorageIndex>(m_size),
+                                                            m_matrix.valuePtr(), m_matrix.outerIndexPtr(), m_matrix.innerIndexPtr(),
+                                                            m_perm.data(), internal::convert_index<StorageIndex>(nrhs), m_iparm.data(), m_msglvl,
+                                                            rhs_ptr, x.derived().data());
+
+  manageErrorCode(error);
+}
+
+
+/** \ingroup PardisoSupport_Module
+  * \class PardisoLU
+  * \brief A sparse direct LU factorization and solver based on the PARDISO library
+  *
+  * This class allows to solve for A.X = B sparse linear problems via a direct LU factorization
+  * using the Intel MKL PARDISO library. The sparse matrix A must be squared and invertible.
+  * The vectors or matrices X and B can be either dense or sparse.
+  *
+  * By default, it runs in in-core mode. To enable PARDISO's out-of-core feature, set:
+  * \code solver.pardisoParameterArray()[59] = 1; \endcode
+  *
+  * \tparam _MatrixType the type of the sparse matrix A, it must be a SparseMatrix<>
+  *
+  * \implsparsesolverconcept
+  *
+  * \sa \ref TutorialSparseSolverConcept, class SparseLU
+  */
+template<typename MatrixType>
+class PardisoLU : public PardisoImpl< PardisoLU<MatrixType> >
+{
+  protected:
+    typedef PardisoImpl<PardisoLU> Base;
+    typedef typename Base::Scalar Scalar;
+    typedef typename Base::RealScalar RealScalar;
+    using Base::pardisoInit;
+    using Base::m_matrix;
+    friend class PardisoImpl< PardisoLU<MatrixType> >;
+
+  public:
+
+    using Base::compute;
+    using Base::solve;
+
+    PardisoLU()
+      : Base()
+    {
+      pardisoInit(Base::ScalarIsComplex ? 13 : 11);
+    }
+
+    explicit PardisoLU(const MatrixType& matrix)
+      : Base()
+    {
+      pardisoInit(Base::ScalarIsComplex ? 13 : 11);
+      compute(matrix);
+    }
+  protected:
+    void getMatrix(const MatrixType& matrix)
+    {
+      m_matrix = matrix;
+      m_matrix.makeCompressed();
+    }
+};
+
+/** \ingroup PardisoSupport_Module
+  * \class PardisoLLT
+  * \brief A sparse direct Cholesky (LLT) factorization and solver based on the PARDISO library
+  *
+  * This class allows to solve for A.X = B sparse linear problems via a LL^T Cholesky factorization
+  * using the Intel MKL PARDISO library. The sparse matrix A must be selfajoint and positive definite.
+  * The vectors or matrices X and B can be either dense or sparse.
+  *
+  * By default, it runs in in-core mode. To enable PARDISO's out-of-core feature, set:
+  * \code solver.pardisoParameterArray()[59] = 1; \endcode
+  *
+  * \tparam MatrixType the type of the sparse matrix A, it must be a SparseMatrix<>
+  * \tparam UpLo can be any bitwise combination of Upper, Lower. The default is Upper, meaning only the upper triangular part has to be used.
+  *         Upper|Lower can be used to tell both triangular parts can be used as input.
+  *
+  * \implsparsesolverconcept
+  *
+  * \sa \ref TutorialSparseSolverConcept, class SimplicialLLT
+  */
+template<typename MatrixType, int _UpLo>
+class PardisoLLT : public PardisoImpl< PardisoLLT<MatrixType,_UpLo> >
+{
+  protected:
+    typedef PardisoImpl< PardisoLLT<MatrixType,_UpLo> > Base;
+    typedef typename Base::Scalar Scalar;
+    typedef typename Base::RealScalar RealScalar;
+    using Base::pardisoInit;
+    using Base::m_matrix;
+    friend class PardisoImpl< PardisoLLT<MatrixType,_UpLo> >;
+
+  public:
+
+    typedef typename Base::StorageIndex StorageIndex;
+    enum { UpLo = _UpLo };
+    using Base::compute;
+
+    PardisoLLT()
+      : Base()
+    {
+      pardisoInit(Base::ScalarIsComplex ? 4 : 2);
+    }
+
+    explicit PardisoLLT(const MatrixType& matrix)
+      : Base()
+    {
+      pardisoInit(Base::ScalarIsComplex ? 4 : 2);
+      compute(matrix);
+    }
+    
+  protected:
+    
+    void getMatrix(const MatrixType& matrix)
+    {
+      // PARDISO supports only upper, row-major matrices
+      PermutationMatrix<Dynamic,Dynamic,StorageIndex> p_null;
+      m_matrix.resize(matrix.rows(), matrix.cols());
+      m_matrix.template selfadjointView<Upper>() = matrix.template selfadjointView<UpLo>().twistedBy(p_null);
+      m_matrix.makeCompressed();
+    }
+};
+
+/** \ingroup PardisoSupport_Module
+  * \class PardisoLDLT
+  * \brief A sparse direct Cholesky (LDLT) factorization and solver based on the PARDISO library
+  *
+  * This class allows to solve for A.X = B sparse linear problems via a LDL^T Cholesky factorization
+  * using the Intel MKL PARDISO library. The sparse matrix A is assumed to be selfajoint and positive definite.
+  * For complex matrices, A can also be symmetric only, see the \a Options template parameter.
+  * The vectors or matrices X and B can be either dense or sparse.
+  *
+  * By default, it runs in in-core mode. To enable PARDISO's out-of-core feature, set:
+  * \code solver.pardisoParameterArray()[59] = 1; \endcode
+  *
+  * \tparam MatrixType the type of the sparse matrix A, it must be a SparseMatrix<>
+  * \tparam Options can be any bitwise combination of Upper, Lower, and Symmetric. The default is Upper, meaning only the upper triangular part has to be used.
+  *         Symmetric can be used for symmetric, non-selfadjoint complex matrices, the default being to assume a selfadjoint matrix.
+  *         Upper|Lower can be used to tell both triangular parts can be used as input.
+  *
+  * \implsparsesolverconcept
+  *
+  * \sa \ref TutorialSparseSolverConcept, class SimplicialLDLT
+  */
+template<typename MatrixType, int Options>
+class PardisoLDLT : public PardisoImpl< PardisoLDLT<MatrixType,Options> >
+{
+  protected:
+    typedef PardisoImpl< PardisoLDLT<MatrixType,Options> > Base;
+    typedef typename Base::Scalar Scalar;
+    typedef typename Base::RealScalar RealScalar;
+    using Base::pardisoInit;
+    using Base::m_matrix;
+    friend class PardisoImpl< PardisoLDLT<MatrixType,Options> >;
+
+  public:
+
+    typedef typename Base::StorageIndex StorageIndex;
+    using Base::compute;
+    enum { UpLo = Options&(Upper|Lower) };
+
+    PardisoLDLT()
+      : Base()
+    {
+      pardisoInit(Base::ScalarIsComplex ? ( bool(Options&Symmetric) ? 6 : -4 ) : -2);
+    }
+
+    explicit PardisoLDLT(const MatrixType& matrix)
+      : Base()
+    {
+      pardisoInit(Base::ScalarIsComplex ? ( bool(Options&Symmetric) ? 6 : -4 ) : -2);
+      compute(matrix);
+    }
+    
+    void getMatrix(const MatrixType& matrix)
+    {
+      // PARDISO supports only upper, row-major matrices
+      PermutationMatrix<Dynamic,Dynamic,StorageIndex> p_null;
+      m_matrix.resize(matrix.rows(), matrix.cols());
+      m_matrix.template selfadjointView<Upper>() = matrix.template selfadjointView<UpLo>().twistedBy(p_null);
+      m_matrix.makeCompressed();
+    }
+};
+
+} // end namespace Eigen
+
+#endif // EIGEN_PARDISOSUPPORT_H
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_column_dfs.h
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_column_dfs.h	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_column_dfs.h	(revision 3761)
@@ -0,0 +1,179 @@
+// This file is part of Eigen, a lightweight C++ template library
+// for linear algebra.
+//
+// Copyright (C) 2012 DÃ©sirÃ© Nuentsa-Wakam <desire.nuentsa_wakam@inria.fr>
+//
+// This Source Code Form is subject to the terms of the Mozilla
+// Public License v. 2.0. If a copy of the MPL was not distributed
+// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
+
+/* 
+ 
+ * NOTE: This file is the modified version of [s,d,c,z]column_dfs.c file in SuperLU 
+ 
+ * -- SuperLU routine (version 2.0) --
+ * Univ. of California Berkeley, Xerox Palo Alto Research Center,
+ * and Lawrence Berkeley National Lab.
+ * November 15, 1997
+ *
+ * Copyright (c) 1994 by Xerox Corporation.  All rights reserved.
+ *
+ * THIS MATERIAL IS PROVIDED AS IS, WITH ABSOLUTELY NO WARRANTY
+ * EXPRESSED OR IMPLIED.  ANY USE IS AT YOUR OWN RISK.
+ *
+ * Permission is hereby granted to use or copy this program for any
+ * purpose, provided the above notices are retained on all copies.
+ * Permission to modify the code and to distribute modified code is
+ * granted, provided the above notices are retained, and a notice that
+ * the code was modified is included with the above copyright notice.
+ */
+#ifndef SPARSELU_COLUMN_DFS_H
+#define SPARSELU_COLUMN_DFS_H
+
+template <typename Scalar, typename StorageIndex> class SparseLUImpl;
+namespace Eigen {
+
+namespace internal {
+
+template<typename IndexVector, typename ScalarVector>
+struct column_dfs_traits : no_assignment_operator
+{
+  typedef typename ScalarVector::Scalar Scalar;
+  typedef typename IndexVector::Scalar StorageIndex;
+  column_dfs_traits(Index jcol, Index& jsuper, typename SparseLUImpl<Scalar, StorageIndex>::GlobalLU_t& glu, SparseLUImpl<Scalar, StorageIndex>& luImpl)
+   : m_jcol(jcol), m_jsuper_ref(jsuper), m_glu(glu), m_luImpl(luImpl)
+ {}
+  bool update_segrep(Index /*krep*/, Index /*jj*/)
+  {
+    return true;
+  }
+  void mem_expand(IndexVector& lsub, Index& nextl, Index chmark)
+  {
+    if (nextl >= m_glu.nzlmax)
+      m_luImpl.memXpand(lsub, m_glu.nzlmax, nextl, LSUB, m_glu.num_expansions); 
+    if (chmark != (m_jcol-1)) m_jsuper_ref = emptyIdxLU;
+  }
+  enum { ExpandMem = true };
+  
+  Index m_jcol;
+  Index& m_jsuper_ref;
+  typename SparseLUImpl<Scalar, StorageIndex>::GlobalLU_t& m_glu;
+  SparseLUImpl<Scalar, StorageIndex>& m_luImpl;
+};
+
+
+/**
+ * \brief Performs a symbolic factorization on column jcol and decide the supernode boundary
+ * 
+ * A supernode representative is the last column of a supernode.
+ * The nonzeros in U[*,j] are segments that end at supernodes representatives. 
+ * The routine returns a list of the supernodal representatives 
+ * in topological order of the dfs that generates them. 
+ * The location of the first nonzero in each supernodal segment 
+ * (supernodal entry location) is also returned. 
+ * 
+ * \param m number of rows in the matrix
+ * \param jcol Current column 
+ * \param perm_r Row permutation
+ * \param maxsuper  Maximum number of column allowed in a supernode
+ * \param [in,out] nseg Number of segments in current U[*,j] - new segments appended
+ * \param lsub_col defines the rhs vector to start the dfs
+ * \param [in,out] segrep Segment representatives - new segments appended 
+ * \param repfnz  First nonzero location in each row
+ * \param xprune 
+ * \param marker  marker[i] == jj, if i was visited during dfs of current column jj;
+ * \param parent
+ * \param xplore working array
+ * \param glu global LU data 
+ * \return 0 success
+ *         > 0 number of bytes allocated when run out of space
+ * 
+ */
+template <typename Scalar, typename StorageIndex>
+Index SparseLUImpl<Scalar,StorageIndex>::column_dfs(const Index m, const Index jcol, IndexVector& perm_r, Index maxsuper, Index& nseg,
+                                                    BlockIndexVector lsub_col, IndexVector& segrep, BlockIndexVector repfnz, IndexVector& xprune,
+                                                    IndexVector& marker, IndexVector& parent, IndexVector& xplore, GlobalLU_t& glu)
+{
+  
+  Index jsuper = glu.supno(jcol); 
+  Index nextl = glu.xlsub(jcol); 
+  VectorBlock<IndexVector> marker2(marker, 2*m, m); 
+  
+  
+  column_dfs_traits<IndexVector, ScalarVector> traits(jcol, jsuper, glu, *this);
+  
+  // For each nonzero in A(*,jcol) do dfs 
+  for (Index k = 0; ((k < m) ? lsub_col[k] != emptyIdxLU : false) ; k++)
+  {
+    Index krow = lsub_col(k); 
+    lsub_col(k) = emptyIdxLU; 
+    Index kmark = marker2(krow); 
+    
+    // krow was visited before, go to the next nonz; 
+    if (kmark == jcol) continue;
+    
+    dfs_kernel(StorageIndex(jcol), perm_r, nseg, glu.lsub, segrep, repfnz, xprune, marker2, parent,
+                   xplore, glu, nextl, krow, traits);
+  } // for each nonzero ... 
+  
+  Index fsupc;
+  StorageIndex nsuper = glu.supno(jcol);
+  StorageIndex jcolp1 = StorageIndex(jcol) + 1;
+  Index jcolm1 = jcol - 1;
+  
+  // check to see if j belongs in the same supernode as j-1
+  if ( jcol == 0 )
+  { // Do nothing for column 0 
+    nsuper = glu.supno(0) = 0 ;
+  }
+  else 
+  {
+    fsupc = glu.xsup(nsuper); 
+    StorageIndex jptr = glu.xlsub(jcol); // Not yet compressed
+    StorageIndex jm1ptr = glu.xlsub(jcolm1); 
+    
+    // Use supernodes of type T2 : see SuperLU paper
+    if ( (nextl-jptr != jptr-jm1ptr-1) ) jsuper = emptyIdxLU;
+    
+    // Make sure the number of columns in a supernode doesn't
+    // exceed threshold
+    if ( (jcol - fsupc) >= maxsuper) jsuper = emptyIdxLU; 
+    
+    /* If jcol starts a new supernode, reclaim storage space in
+     * glu.lsub from previous supernode. Note we only store 
+     * the subscript set of the first and last columns of 
+     * a supernode. (first for num values, last for pruning)
+     */
+    if (jsuper == emptyIdxLU)
+    { // starts a new supernode 
+      if ( (fsupc < jcolm1-1) ) 
+      { // >= 3 columns in nsuper
+        StorageIndex ito = glu.xlsub(fsupc+1);
+        glu.xlsub(jcolm1) = ito; 
+        StorageIndex istop = ito + jptr - jm1ptr; 
+        xprune(jcolm1) = istop; // intialize xprune(jcol-1)
+        glu.xlsub(jcol) = istop; 
+        
+        for (StorageIndex ifrom = jm1ptr; ifrom < nextl; ++ifrom, ++ito)
+          glu.lsub(ito) = glu.lsub(ifrom); 
+        nextl = ito;  // = istop + length(jcol)
+      }
+      nsuper++; 
+      glu.supno(jcol) = nsuper; 
+    } // if a new supernode 
+  } // end else:  jcol > 0
+  
+  // Tidy up the pointers before exit
+  glu.xsup(nsuper+1) = jcolp1; 
+  glu.supno(jcolp1) = nsuper; 
+  xprune(jcol) = StorageIndex(nextl);  // Intialize upper bound for pruning
+  glu.xlsub(jcolp1) = StorageIndex(nextl); 
+  
+  return 0; 
+}
+
+} // end namespace internal
+
+} // end namespace Eigen
+
+#endif
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_dfs.h
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_dfs.h	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_dfs.h	(revision 3761)
@@ -0,0 +1,258 @@
+// This file is part of Eigen, a lightweight C++ template library
+// for linear algebra.
+//
+// Copyright (C) 2012 DÃ©sirÃ© Nuentsa-Wakam <desire.nuentsa_wakam@inria.fr>
+//
+// This Source Code Form is subject to the terms of the Mozilla
+// Public License v. 2.0. If a copy of the MPL was not distributed
+// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
+
+/* 
+ 
+ * NOTE: This file is the modified version of [s,d,c,z]panel_dfs.c file in SuperLU 
+ 
+ * -- SuperLU routine (version 2.0) --
+ * Univ. of California Berkeley, Xerox Palo Alto Research Center,
+ * and Lawrence Berkeley National Lab.
+ * November 15, 1997
+ *
+ * Copyright (c) 1994 by Xerox Corporation.  All rights reserved.
+ *
+ * THIS MATERIAL IS PROVIDED AS IS, WITH ABSOLUTELY NO WARRANTY
+ * EXPRESSED OR IMPLIED.  ANY USE IS AT YOUR OWN RISK.
+ *
+ * Permission is hereby granted to use or copy this program for any
+ * purpose, provided the above notices are retained on all copies.
+ * Permission to modify the code and to distribute modified code is
+ * granted, provided the above notices are retained, and a notice that
+ * the code was modified is included with the above copyright notice.
+ */
+#ifndef SPARSELU_PANEL_DFS_H
+#define SPARSELU_PANEL_DFS_H
+
+namespace Eigen {
+
+namespace internal {
+  
+template<typename IndexVector>
+struct panel_dfs_traits
+{
+  typedef typename IndexVector::Scalar StorageIndex;
+  panel_dfs_traits(Index jcol, StorageIndex* marker)
+    : m_jcol(jcol), m_marker(marker)
+  {}
+  bool update_segrep(Index krep, StorageIndex jj)
+  {
+    if(m_marker[krep]<m_jcol)
+    {
+      m_marker[krep] = jj; 
+      return true;
+    }
+    return false;
+  }
+  void mem_expand(IndexVector& /*glu.lsub*/, Index /*nextl*/, Index /*chmark*/) {}
+  enum { ExpandMem = false };
+  Index m_jcol;
+  StorageIndex* m_marker;
+};
+
+
+template <typename Scalar, typename StorageIndex>
+template <typename Traits>
+void SparseLUImpl<Scalar,StorageIndex>::dfs_kernel(const StorageIndex jj, IndexVector& perm_r,
+                   Index& nseg, IndexVector& panel_lsub, IndexVector& segrep,
+                   Ref<IndexVector> repfnz_col, IndexVector& xprune, Ref<IndexVector> marker, IndexVector& parent,
+                   IndexVector& xplore, GlobalLU_t& glu,
+                   Index& nextl_col, Index krow, Traits& traits
+                  )
+{
+  
+  StorageIndex kmark = marker(krow);
+      
+  // For each unmarked krow of jj
+  marker(krow) = jj; 
+  StorageIndex kperm = perm_r(krow); 
+  if (kperm == emptyIdxLU ) {
+    // krow is in L : place it in structure of L(*, jj)
+    panel_lsub(nextl_col++) = StorageIndex(krow);  // krow is indexed into A
+    
+    traits.mem_expand(panel_lsub, nextl_col, kmark);
+  }
+  else 
+  {
+    // krow is in U : if its supernode-representative krep
+    // has been explored, update repfnz(*)
+    // krep = supernode representative of the current row
+    StorageIndex krep = glu.xsup(glu.supno(kperm)+1) - 1; 
+    // First nonzero element in the current column:
+    StorageIndex myfnz = repfnz_col(krep); 
+    
+    if (myfnz != emptyIdxLU )
+    {
+      // Representative visited before
+      if (myfnz > kperm ) repfnz_col(krep) = kperm; 
+      
+    }
+    else 
+    {
+      // Otherwise, perform dfs starting at krep
+      StorageIndex oldrep = emptyIdxLU; 
+      parent(krep) = oldrep; 
+      repfnz_col(krep) = kperm; 
+      StorageIndex xdfs =  glu.xlsub(krep); 
+      Index maxdfs = xprune(krep); 
+      
+      StorageIndex kpar;
+      do 
+      {
+        // For each unmarked kchild of krep
+        while (xdfs < maxdfs) 
+        {
+          StorageIndex kchild = glu.lsub(xdfs); 
+          xdfs++; 
+          StorageIndex chmark = marker(kchild); 
+          
+          if (chmark != jj ) 
+          {
+            marker(kchild) = jj; 
+            StorageIndex chperm = perm_r(kchild); 
+            
+            if (chperm == emptyIdxLU) 
+            {
+              // case kchild is in L: place it in L(*, j)
+              panel_lsub(nextl_col++) = kchild;
+              traits.mem_expand(panel_lsub, nextl_col, chmark);
+            }
+            else
+            {
+              // case kchild is in U :
+              // chrep = its supernode-rep. If its rep has been explored, 
+              // update its repfnz(*)
+              StorageIndex chrep = glu.xsup(glu.supno(chperm)+1) - 1; 
+              myfnz = repfnz_col(chrep); 
+              
+              if (myfnz != emptyIdxLU) 
+              { // Visited before 
+                if (myfnz > chperm) 
+                  repfnz_col(chrep) = chperm; 
+              }
+              else 
+              { // Cont. dfs at snode-rep of kchild
+                xplore(krep) = xdfs; 
+                oldrep = krep; 
+                krep = chrep; // Go deeper down G(L)
+                parent(krep) = oldrep; 
+                repfnz_col(krep) = chperm; 
+                xdfs = glu.xlsub(krep); 
+                maxdfs = xprune(krep); 
+                
+              } // end if myfnz != -1
+            } // end if chperm == -1 
+                
+          } // end if chmark !=jj
+        } // end while xdfs < maxdfs
+        
+        // krow has no more unexplored nbrs :
+        //    Place snode-rep krep in postorder DFS, if this 
+        //    segment is seen for the first time. (Note that 
+        //    "repfnz(krep)" may change later.)
+        //    Baktrack dfs to its parent
+        if(traits.update_segrep(krep,jj))
+        //if (marker1(krep) < jcol )
+        {
+          segrep(nseg) = krep; 
+          ++nseg; 
+          //marker1(krep) = jj; 
+        }
+        
+        kpar = parent(krep); // Pop recursion, mimic recursion 
+        if (kpar == emptyIdxLU) 
+          break; // dfs done 
+        krep = kpar; 
+        xdfs = xplore(krep); 
+        maxdfs = xprune(krep); 
+
+      } while (kpar != emptyIdxLU); // Do until empty stack 
+      
+    } // end if (myfnz = -1)
+
+  } // end if (kperm == -1)   
+}
+
+/**
+ * \brief Performs a symbolic factorization on a panel of columns [jcol, jcol+w)
+ * 
+ * A supernode representative is the last column of a supernode.
+ * The nonzeros in U[*,j] are segments that end at supernodes representatives
+ * 
+ * The routine returns a list of the supernodal representatives 
+ * in topological order of the dfs that generates them. This list is 
+ * a superset of the topological order of each individual column within 
+ * the panel.
+ * The location of the first nonzero in each supernodal segment 
+ * (supernodal entry location) is also returned. Each column has 
+ * a separate list for this purpose. 
+ * 
+ * Two markers arrays are used for dfs :
+ *    marker[i] == jj, if i was visited during dfs of current column jj;
+ *    marker1[i] >= jcol, if i was visited by earlier columns in this panel; 
+ * 
+ * \param[in] m number of rows in the matrix
+ * \param[in] w Panel size
+ * \param[in] jcol Starting  column of the panel
+ * \param[in] A Input matrix in column-major storage
+ * \param[in] perm_r Row permutation
+ * \param[out] nseg Number of U segments
+ * \param[out] dense Accumulate the column vectors of the panel
+ * \param[out] panel_lsub Subscripts of the row in the panel 
+ * \param[out] segrep Segment representative i.e first nonzero row of each segment
+ * \param[out] repfnz First nonzero location in each row
+ * \param[out] xprune The pruned elimination tree
+ * \param[out] marker work vector
+ * \param  parent The elimination tree
+ * \param xplore work vector
+ * \param glu The global data structure
+ * 
+ */
+
+template <typename Scalar, typename StorageIndex>
+void SparseLUImpl<Scalar,StorageIndex>::panel_dfs(const Index m, const Index w, const Index jcol, MatrixType& A, IndexVector& perm_r, Index& nseg, ScalarVector& dense, IndexVector& panel_lsub, IndexVector& segrep, IndexVector& repfnz, IndexVector& xprune, IndexVector& marker, IndexVector& parent, IndexVector& xplore, GlobalLU_t& glu)
+{
+  Index nextl_col; // Next available position in panel_lsub[*,jj] 
+  
+  // Initialize pointers 
+  VectorBlock<IndexVector> marker1(marker, m, m); 
+  nseg = 0; 
+  
+  panel_dfs_traits<IndexVector> traits(jcol, marker1.data());
+  
+  // For each column in the panel 
+  for (StorageIndex jj = StorageIndex(jcol); jj < jcol + w; jj++) 
+  {
+    nextl_col = (jj - jcol) * m; 
+    
+    VectorBlock<IndexVector> repfnz_col(repfnz, nextl_col, m); // First nonzero location in each row
+    VectorBlock<ScalarVector> dense_col(dense,nextl_col, m); // Accumulate a column vector here
+    
+    
+    // For each nnz in A[*, jj] do depth first search
+    for (typename MatrixType::InnerIterator it(A, jj); it; ++it)
+    {
+      Index krow = it.row(); 
+      dense_col(krow) = it.value();
+      
+      StorageIndex kmark = marker(krow); 
+      if (kmark == jj) 
+        continue; // krow visited before, go to the next nonzero
+      
+      dfs_kernel(jj, perm_r, nseg, panel_lsub, segrep, repfnz_col, xprune, marker, parent,
+                   xplore, glu, nextl_col, krow, traits);
+    }// end for nonzeros in column jj
+    
+  } // end for column jj
+}
+
+} // end namespace internal
+} // end namespace Eigen
+
+#endif // SPARSELU_PANEL_DFS_H
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_column_bmod.h
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_column_bmod.h	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_column_bmod.h	(revision 3761)
@@ -0,0 +1,181 @@
+// This file is part of Eigen, a lightweight C++ template library
+// for linear algebra.
+//
+// Copyright (C) 2012 DÃ©sirÃ© Nuentsa-Wakam <desire.nuentsa_wakam@inria.fr>
+// Copyright (C) 2012 Gael Guennebaud <gael.guennebaud@inria.fr>
+//
+// This Source Code Form is subject to the terms of the Mozilla
+// Public License v. 2.0. If a copy of the MPL was not distributed
+// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
+
+/* 
+ 
+ * NOTE: This file is the modified version of xcolumn_bmod.c file in SuperLU 
+ 
+ * -- SuperLU routine (version 3.0) --
+ * Univ. of California Berkeley, Xerox Palo Alto Research Center,
+ * and Lawrence Berkeley National Lab.
+ * October 15, 2003
+ *
+ * Copyright (c) 1994 by Xerox Corporation.  All rights reserved.
+ *
+ * THIS MATERIAL IS PROVIDED AS IS, WITH ABSOLUTELY NO WARRANTY
+ * EXPRESSED OR IMPLIED.  ANY USE IS AT YOUR OWN RISK.
+ *
+ * Permission is hereby granted to use or copy this program for any
+ * purpose, provided the above notices are retained on all copies.
+ * Permission to modify the code and to distribute modified code is
+ * granted, provided the above notices are retained, and a notice that
+ * the code was modified is included with the above copyright notice.
+ */
+#ifndef SPARSELU_COLUMN_BMOD_H
+#define SPARSELU_COLUMN_BMOD_H
+
+namespace Eigen {
+
+namespace internal {
+/**
+ * \brief Performs numeric block updates (sup-col) in topological order
+ * 
+ * \param jcol current column to update
+ * \param nseg Number of segments in the U part
+ * \param dense Store the full representation of the column
+ * \param tempv working array 
+ * \param segrep segment representative ...
+ * \param repfnz ??? First nonzero column in each row ???  ...
+ * \param fpanelc First column in the current panel
+ * \param glu Global LU data. 
+ * \return 0 - successful return 
+ *         > 0 - number of bytes allocated when run out of space
+ * 
+ */
+template <typename Scalar, typename StorageIndex>
+Index SparseLUImpl<Scalar,StorageIndex>::column_bmod(const Index jcol, const Index nseg, BlockScalarVector dense, ScalarVector& tempv,
+                                                     BlockIndexVector segrep, BlockIndexVector repfnz, Index fpanelc, GlobalLU_t& glu)
+{
+  Index  jsupno, k, ksub, krep, ksupno; 
+  Index lptr, nrow, isub, irow, nextlu, new_next, ufirst; 
+  Index fsupc, nsupc, nsupr, luptr, kfnz, no_zeros; 
+  /* krep = representative of current k-th supernode
+    * fsupc =  first supernodal column
+    * nsupc = number of columns in a supernode
+    * nsupr = number of rows in a supernode
+    * luptr = location of supernodal LU-block in storage
+    * kfnz = first nonz in the k-th supernodal segment
+    * no_zeros = no lf leading zeros in a supernodal U-segment
+    */
+  
+  jsupno = glu.supno(jcol);
+  // For each nonzero supernode segment of U[*,j] in topological order 
+  k = nseg - 1; 
+  Index d_fsupc; // distance between the first column of the current panel and the 
+               // first column of the current snode
+  Index fst_col; // First column within small LU update
+  Index segsize; 
+  for (ksub = 0; ksub < nseg; ksub++)
+  {
+    krep = segrep(k); k--; 
+    ksupno = glu.supno(krep); 
+    if (jsupno != ksupno )
+    {
+      // outside the rectangular supernode 
+      fsupc = glu.xsup(ksupno); 
+      fst_col = (std::max)(fsupc, fpanelc); 
+      
+      // Distance from the current supernode to the current panel; 
+      // d_fsupc = 0 if fsupc > fpanelc
+      d_fsupc = fst_col - fsupc; 
+      
+      luptr = glu.xlusup(fst_col) + d_fsupc; 
+      lptr = glu.xlsub(fsupc) + d_fsupc; 
+      
+      kfnz = repfnz(krep); 
+      kfnz = (std::max)(kfnz, fpanelc); 
+      
+      segsize = krep - kfnz + 1; 
+      nsupc = krep - fst_col + 1; 
+      nsupr = glu.xlsub(fsupc+1) - glu.xlsub(fsupc); 
+      nrow = nsupr - d_fsupc - nsupc;
+      Index lda = glu.xlusup(fst_col+1) - glu.xlusup(fst_col);
+      
+      
+      // Perform a triangular solver and block update, 
+      // then scatter the result of sup-col update to dense
+      no_zeros = kfnz - fst_col; 
+      if(segsize==1)
+        LU_kernel_bmod<1>::run(segsize, dense, tempv, glu.lusup, luptr, lda, nrow, glu.lsub, lptr, no_zeros);
+      else
+        LU_kernel_bmod<Dynamic>::run(segsize, dense, tempv, glu.lusup, luptr, lda, nrow, glu.lsub, lptr, no_zeros);
+    } // end if jsupno 
+  } // end for each segment
+  
+  // Process the supernodal portion of  L\U[*,j]
+  nextlu = glu.xlusup(jcol); 
+  fsupc = glu.xsup(jsupno);
+  
+  // copy the SPA dense into L\U[*,j]
+  Index mem; 
+  new_next = nextlu + glu.xlsub(fsupc + 1) - glu.xlsub(fsupc); 
+  Index offset = internal::first_multiple<Index>(new_next, internal::packet_traits<Scalar>::size) - new_next;
+  if(offset)
+    new_next += offset;
+  while (new_next > glu.nzlumax )
+  {
+    mem = memXpand<ScalarVector>(glu.lusup, glu.nzlumax, nextlu, LUSUP, glu.num_expansions);  
+    if (mem) return mem; 
+  }
+  
+  for (isub = glu.xlsub(fsupc); isub < glu.xlsub(fsupc+1); isub++)
+  {
+    irow = glu.lsub(isub);
+    glu.lusup(nextlu) = dense(irow);
+    dense(irow) = Scalar(0.0); 
+    ++nextlu; 
+  }
+  
+  if(offset)
+  {
+    glu.lusup.segment(nextlu,offset).setZero();
+    nextlu += offset;
+  }
+  glu.xlusup(jcol + 1) = StorageIndex(nextlu);  // close L\U(*,jcol); 
+  
+  /* For more updates within the panel (also within the current supernode),
+   * should start from the first column of the panel, or the first column
+   * of the supernode, whichever is bigger. There are two cases:
+   *  1) fsupc < fpanelc, then fst_col <-- fpanelc
+   *  2) fsupc >= fpanelc, then fst_col <-- fsupc
+   */
+  fst_col = (std::max)(fsupc, fpanelc); 
+  
+  if (fst_col  < jcol)
+  {
+    // Distance between the current supernode and the current panel
+    // d_fsupc = 0 if fsupc >= fpanelc
+    d_fsupc = fst_col - fsupc; 
+    
+    lptr = glu.xlsub(fsupc) + d_fsupc; 
+    luptr = glu.xlusup(fst_col) + d_fsupc; 
+    nsupr = glu.xlsub(fsupc+1) - glu.xlsub(fsupc); // leading dimension
+    nsupc = jcol - fst_col; // excluding jcol 
+    nrow = nsupr - d_fsupc - nsupc; 
+    
+    // points to the beginning of jcol in snode L\U(jsupno) 
+    ufirst = glu.xlusup(jcol) + d_fsupc; 
+    Index lda = glu.xlusup(jcol+1) - glu.xlusup(jcol);
+    MappedMatrixBlock A( &(glu.lusup.data()[luptr]), nsupc, nsupc, OuterStride<>(lda) );
+    VectorBlock<ScalarVector> u(glu.lusup, ufirst, nsupc); 
+    u = A.template triangularView<UnitLower>().solve(u); 
+    
+    new (&A) MappedMatrixBlock ( &(glu.lusup.data()[luptr+nsupc]), nrow, nsupc, OuterStride<>(lda) );
+    VectorBlock<ScalarVector> l(glu.lusup, ufirst+nsupc, nrow); 
+    l.noalias() -= A * u;
+    
+  } // End if fst_col
+  return 0; 
+}
+
+} // end namespace internal
+} // end namespace Eigen
+
+#endif // SPARSELU_COLUMN_BMOD_H
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_copy_to_ucol.h
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_copy_to_ucol.h	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_copy_to_ucol.h	(revision 3761)
@@ -0,0 +1,107 @@
+// This file is part of Eigen, a lightweight C++ template library
+// for linear algebra.
+//
+// Copyright (C) 2012 DÃ©sirÃ© Nuentsa-Wakam <desire.nuentsa_wakam@inria.fr>
+//
+// This Source Code Form is subject to the terms of the Mozilla
+// Public License v. 2.0. If a copy of the MPL was not distributed
+// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
+/* 
+ 
+ * NOTE: This file is the modified version of [s,d,c,z]copy_to_ucol.c file in SuperLU 
+ 
+ * -- SuperLU routine (version 2.0) --
+ * Univ. of California Berkeley, Xerox Palo Alto Research Center,
+ * and Lawrence Berkeley National Lab.
+ * November 15, 1997
+ *
+ * Copyright (c) 1994 by Xerox Corporation.  All rights reserved.
+ *
+ * THIS MATERIAL IS PROVIDED AS IS, WITH ABSOLUTELY NO WARRANTY
+ * EXPRESSED OR IMPLIED.  ANY USE IS AT YOUR OWN RISK.
+ *
+ * Permission is hereby granted to use or copy this program for any
+ * purpose, provided the above notices are retained on all copies.
+ * Permission to modify the code and to distribute modified code is
+ * granted, provided the above notices are retained, and a notice that
+ * the code was modified is included with the above copyright notice.
+ */
+#ifndef SPARSELU_COPY_TO_UCOL_H
+#define SPARSELU_COPY_TO_UCOL_H
+
+namespace Eigen {
+namespace internal {
+
+/**
+ * \brief Performs numeric block updates (sup-col) in topological order
+ * 
+ * \param jcol current column to update
+ * \param nseg Number of segments in the U part
+ * \param segrep segment representative ...
+ * \param repfnz First nonzero column in each row  ...
+ * \param perm_r Row permutation 
+ * \param dense Store the full representation of the column
+ * \param glu Global LU data. 
+ * \return 0 - successful return 
+ *         > 0 - number of bytes allocated when run out of space
+ * 
+ */
+template <typename Scalar, typename StorageIndex>
+Index SparseLUImpl<Scalar,StorageIndex>::copy_to_ucol(const Index jcol, const Index nseg, IndexVector& segrep,
+                                                      BlockIndexVector repfnz ,IndexVector& perm_r, BlockScalarVector dense, GlobalLU_t& glu)
+{  
+  Index ksub, krep, ksupno; 
+    
+  Index jsupno = glu.supno(jcol);
+  
+  // For each nonzero supernode segment of U[*,j] in topological order 
+  Index k = nseg - 1, i; 
+  StorageIndex nextu = glu.xusub(jcol); 
+  Index kfnz, isub, segsize; 
+  Index new_next,irow; 
+  Index fsupc, mem; 
+  for (ksub = 0; ksub < nseg; ksub++)
+  {
+    krep = segrep(k); k--; 
+    ksupno = glu.supno(krep); 
+    if (jsupno != ksupno ) // should go into ucol(); 
+    {
+      kfnz = repfnz(krep); 
+      if (kfnz != emptyIdxLU)
+      { // Nonzero U-segment 
+        fsupc = glu.xsup(ksupno); 
+        isub = glu.xlsub(fsupc) + kfnz - fsupc; 
+        segsize = krep - kfnz + 1; 
+        new_next = nextu + segsize; 
+        while (new_next > glu.nzumax) 
+        {
+          mem = memXpand<ScalarVector>(glu.ucol, glu.nzumax, nextu, UCOL, glu.num_expansions); 
+          if (mem) return mem; 
+          mem = memXpand<IndexVector>(glu.usub, glu.nzumax, nextu, USUB, glu.num_expansions); 
+          if (mem) return mem; 
+          
+        }
+        
+        for (i = 0; i < segsize; i++)
+        {
+          irow = glu.lsub(isub); 
+          glu.usub(nextu) = perm_r(irow); // Unlike the L part, the U part is stored in its final order
+          glu.ucol(nextu) = dense(irow); 
+          dense(irow) = Scalar(0.0); 
+          nextu++;
+          isub++;
+        }
+        
+      } // end nonzero U-segment 
+      
+    } // end if jsupno 
+    
+  } // end for each segment
+  glu.xusub(jcol + 1) = nextu; // close U(*,jcol)
+  return 0; 
+}
+
+} // namespace internal
+} // end namespace Eigen
+
+#endif // SPARSELU_COPY_TO_UCOL_H
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_Utils.h
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_Utils.h	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_Utils.h	(revision 3761)
@@ -0,0 +1,80 @@
+// This file is part of Eigen, a lightweight C++ template library
+// for linear algebra.
+//
+// Copyright (C) 2012 DÃ©sirÃ© Nuentsa-Wakam <desire.nuentsa_wakam@inria.fr>
+//
+// This Source Code Form is subject to the terms of the Mozilla
+// Public License v. 2.0. If a copy of the MPL was not distributed
+// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
+
+
+#ifndef EIGEN_SPARSELU_UTILS_H
+#define EIGEN_SPARSELU_UTILS_H
+
+namespace Eigen {
+namespace internal {
+
+/**
+ * \brief Count Nonzero elements in the factors
+ */
+template <typename Scalar, typename StorageIndex>
+void SparseLUImpl<Scalar,StorageIndex>::countnz(const Index n, Index& nnzL, Index& nnzU, GlobalLU_t& glu)
+{
+ nnzL = 0; 
+ nnzU = (glu.xusub)(n); 
+ Index nsuper = (glu.supno)(n); 
+ Index jlen; 
+ Index i, j, fsupc;
+ if (n <= 0 ) return; 
+ // For each supernode
+ for (i = 0; i <= nsuper; i++)
+ {
+   fsupc = glu.xsup(i); 
+   jlen = glu.xlsub(fsupc+1) - glu.xlsub(fsupc); 
+   
+   for (j = fsupc; j < glu.xsup(i+1); j++)
+   {
+     nnzL += jlen; 
+     nnzU += j - fsupc + 1; 
+     jlen--; 
+   }
+ }
+}
+
+/**
+ * \brief Fix up the data storage lsub for L-subscripts. 
+ * 
+ * It removes the subscripts sets for structural pruning, 
+ * and applies permutation to the remaining subscripts
+ * 
+ */
+template <typename Scalar, typename StorageIndex>
+void SparseLUImpl<Scalar,StorageIndex>::fixupL(const Index n, const IndexVector& perm_r, GlobalLU_t& glu)
+{
+  Index fsupc, i, j, k, jstart; 
+  
+  StorageIndex nextl = 0; 
+  Index nsuper = (glu.supno)(n); 
+  
+  // For each supernode 
+  for (i = 0; i <= nsuper; i++)
+  {
+    fsupc = glu.xsup(i); 
+    jstart = glu.xlsub(fsupc); 
+    glu.xlsub(fsupc) = nextl; 
+    for (j = jstart; j < glu.xlsub(fsupc + 1); j++)
+    {
+      glu.lsub(nextl) = perm_r(glu.lsub(j)); // Now indexed into P*A
+      nextl++;
+    }
+    for (k = fsupc+1; k < glu.xsup(i+1); k++)
+      glu.xlsub(k) = nextl; // other columns in supernode i
+  }
+  
+  glu.xlsub(n) = nextl; 
+}
+
+} // end namespace internal
+
+} // end namespace Eigen
+#endif // EIGEN_SPARSELU_UTILS_H
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_heap_relax_snode.h
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_heap_relax_snode.h	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_heap_relax_snode.h	(revision 3761)
@@ -0,0 +1,126 @@
+// This file is part of Eigen, a lightweight C++ template library
+// for linear algebra.
+//
+// Copyright (C) 2012 DÃ©sirÃ© Nuentsa-Wakam <desire.nuentsa_wakam@inria.fr>
+//
+// This Source Code Form is subject to the terms of the Mozilla
+// Public License v. 2.0. If a copy of the MPL was not distributed
+// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
+
+/* This file is a modified version of heap_relax_snode.c file in SuperLU
+ * -- SuperLU routine (version 3.0) --
+ * Univ. of California Berkeley, Xerox Palo Alto Research Center,
+ * and Lawrence Berkeley National Lab.
+ * October 15, 2003
+ *
+ * Copyright (c) 1994 by Xerox Corporation.  All rights reserved.
+ *
+ * THIS MATERIAL IS PROVIDED AS IS, WITH ABSOLUTELY NO WARRANTY
+ * EXPRESSED OR IMPLIED.  ANY USE IS AT YOUR OWN RISK.
+ *
+ * Permission is hereby granted to use or copy this program for any
+ * purpose, provided the above notices are retained on all copies.
+ * Permission to modify the code and to distribute modified code is
+ * granted, provided the above notices are retained, and a notice that
+ * the code was modified is included with the above copyright notice.
+ */
+
+#ifndef SPARSELU_HEAP_RELAX_SNODE_H
+#define SPARSELU_HEAP_RELAX_SNODE_H
+
+namespace Eigen {
+namespace internal {
+
+/** 
+ * \brief Identify the initial relaxed supernodes
+ * 
+ * This routine applied to a symmetric elimination tree. 
+ * It assumes that the matrix has been reordered according to the postorder of the etree
+ * \param n The number of columns
+ * \param et elimination tree 
+ * \param relax_columns Maximum number of columns allowed in a relaxed snode 
+ * \param descendants Number of descendants of each node in the etree
+ * \param relax_end last column in a supernode
+ */
+template <typename Scalar, typename StorageIndex>
+void SparseLUImpl<Scalar,StorageIndex>::heap_relax_snode (const Index n, IndexVector& et, const Index relax_columns, IndexVector& descendants, IndexVector& relax_end)
+{
+  
+  // The etree may not be postordered, but its heap ordered  
+  IndexVector post;
+  internal::treePostorder(StorageIndex(n), et, post); // Post order etree
+  IndexVector inv_post(n+1); 
+  for (StorageIndex i = 0; i < n+1; ++i) inv_post(post(i)) = i; // inv_post = post.inverse()???
+  
+  // Renumber etree in postorder 
+  IndexVector iwork(n);
+  IndexVector et_save(n+1);
+  for (Index i = 0; i < n; ++i)
+  {
+    iwork(post(i)) = post(et(i));
+  }
+  et_save = et; // Save the original etree
+  et = iwork; 
+  
+  // compute the number of descendants of each node in the etree
+  relax_end.setConstant(emptyIdxLU);
+  Index j, parent; 
+  descendants.setZero();
+  for (j = 0; j < n; j++) 
+  {
+    parent = et(j);
+    if (parent != n) // not the dummy root
+      descendants(parent) += descendants(j) + 1;
+  }
+  // Identify the relaxed supernodes by postorder traversal of the etree
+  Index snode_start; // beginning of a snode 
+  StorageIndex k;
+  Index nsuper_et_post = 0; // Number of relaxed snodes in postordered etree 
+  Index nsuper_et = 0; // Number of relaxed snodes in the original etree 
+  StorageIndex l; 
+  for (j = 0; j < n; )
+  {
+    parent = et(j);
+    snode_start = j; 
+    while ( parent != n && descendants(parent) < relax_columns ) 
+    {
+      j = parent; 
+      parent = et(j);
+    }
+    // Found a supernode in postordered etree, j is the last column 
+    ++nsuper_et_post;
+    k = StorageIndex(n);
+    for (Index i = snode_start; i <= j; ++i)
+      k = (std::min)(k, inv_post(i));
+    l = inv_post(j);
+    if ( (l - k) == (j - snode_start) )  // Same number of columns in the snode
+    {
+      // This is also a supernode in the original etree
+      relax_end(k) = l; // Record last column 
+      ++nsuper_et; 
+    }
+    else 
+    {
+      for (Index i = snode_start; i <= j; ++i) 
+      {
+        l = inv_post(i);
+        if (descendants(i) == 0) 
+        {
+          relax_end(l) = l;
+          ++nsuper_et;
+        }
+      }
+    }
+    j++;
+    // Search for a new leaf
+    while (descendants(j) != 0 && j < n) j++;
+  } // End postorder traversal of the etree
+  
+  // Recover the original etree
+  et = et_save; 
+}
+
+} // end namespace internal
+
+} // end namespace Eigen
+#endif // SPARSELU_HEAP_RELAX_SNODE_H
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_panel_bmod.h	(revision 3761)
@@ -0,0 +1,223 @@
+// This file is part of Eigen, a lightweight C++ template library
+// for linear algebra.
+//
+// Copyright (C) 2012 DÃ©sirÃ© Nuentsa-Wakam <desire.nuentsa_wakam@inria.fr>
+// Copyright (C) 2012 Gael Guennebaud <gael.guennebaud@inria.fr>
+//
+// This Source Code Form is subject to the terms of the Mozilla
+// Public License v. 2.0. If a copy of the MPL was not distributed
+// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
+
+/* 
+ 
+ * NOTE: This file is the modified version of [s,d,c,z]panel_bmod.c file in SuperLU 
+ 
+ * -- SuperLU routine (version 3.0) --
+ * Univ. of California Berkeley, Xerox Palo Alto Research Center,
+ * and Lawrence Berkeley National Lab.
+ * October 15, 2003
+ *
+ * Copyright (c) 1994 by Xerox Corporation.  All rights reserved.
+ *
+ * THIS MATERIAL IS PROVIDED AS IS, WITH ABSOLUTELY NO WARRANTY
+ * EXPRESSED OR IMPLIED.  ANY USE IS AT YOUR OWN RISK.
+ *
+ * Permission is hereby granted to use or copy this program for any
+ * purpose, provided the above notices are retained on all copies.
+ * Permission to modify the code and to distribute modified code is
+ * granted, provided the above notices are retained, and a notice that
+ * the code was modified is included with the above copyright notice.
+ */
+#ifndef SPARSELU_PANEL_BMOD_H
+#define SPARSELU_PANEL_BMOD_H
+
+namespace Eigen {
+namespace internal {
+
+/**
+ * \brief Performs numeric block updates (sup-panel) in topological order.
+ * 
+ * Before entering this routine, the original nonzeros in the panel
+ * were already copied i nto the spa[m,w]
+ * 
+ * \param m number of rows in the matrix
+ * \param w Panel size
+ * \param jcol Starting  column of the panel
+ * \param nseg Number of segments in the U part
+ * \param dense Store the full representation of the panel 
+ * \param tempv working array 
+ * \param segrep segment representative... first row in the segment
+ * \param repfnz First nonzero rows
+ * \param glu Global LU data. 
+ * 
+ * 
+ */
+template <typename Scalar, typename StorageIndex>
+void SparseLUImpl<Scalar,StorageIndex>::panel_bmod(const Index m, const Index w, const Index jcol, 
+                                            const Index nseg, ScalarVector& dense, ScalarVector& tempv,
+                                            IndexVector& segrep, IndexVector& repfnz, GlobalLU_t& glu)
+{
+  
+  Index ksub,jj,nextl_col; 
+  Index fsupc, nsupc, nsupr, nrow; 
+  Index krep, kfnz; 
+  Index lptr; // points to the row subscripts of a supernode 
+  Index luptr; // ...
+  Index segsize,no_zeros ; 
+  // For each nonz supernode segment of U[*,j] in topological order
+  Index k = nseg - 1; 
+  const Index PacketSize = internal::packet_traits<Scalar>::size;
+  
+  for (ksub = 0; ksub < nseg; ksub++)
+  { // For each updating supernode
+    /* krep = representative of current k-th supernode
+     * fsupc =  first supernodal column
+     * nsupc = number of columns in a supernode
+     * nsupr = number of rows in a supernode
+     */
+    krep = segrep(k); k--; 
+    fsupc = glu.xsup(glu.supno(krep)); 
+    nsupc = krep - fsupc + 1; 
+    nsupr = glu.xlsub(fsupc+1) - glu.xlsub(fsupc); 
+    nrow = nsupr - nsupc; 
+    lptr = glu.xlsub(fsupc); 
+    
+    // loop over the panel columns to detect the actual number of columns and rows
+    Index u_rows = 0;
+    Index u_cols = 0;
+    for (jj = jcol; jj < jcol + w; jj++)
+    {
+      nextl_col = (jj-jcol) * m; 
+      VectorBlock<IndexVector> repfnz_col(repfnz, nextl_col, m); // First nonzero column index for each row
+      
+      kfnz = repfnz_col(krep); 
+      if ( kfnz == emptyIdxLU ) 
+        continue; // skip any zero segment
+      
+      segsize = krep - kfnz + 1;
+      u_cols++;
+      u_rows = (std::max)(segsize,u_rows);
+    }
+    
+    if(nsupc >= 2)
+    { 
+      Index ldu = internal::first_multiple<Index>(u_rows, PacketSize);
+      Map<ScalarMatrix, Aligned,  OuterStride<> > U(tempv.data(), u_rows, u_cols, OuterStride<>(ldu));
+      
+      // gather U
+      Index u_col = 0;
+      for (jj = jcol; jj < jcol + w; jj++)
+      {
+        nextl_col = (jj-jcol) * m; 
+        VectorBlock<IndexVector> repfnz_col(repfnz, nextl_col, m); // First nonzero column index for each row
+        VectorBlock<ScalarVector> dense_col(dense, nextl_col, m); // Scatter/gather entire matrix column from/to here
+        
+        kfnz = repfnz_col(krep); 
+        if ( kfnz == emptyIdxLU ) 
+          continue; // skip any zero segment
+        
+        segsize = krep - kfnz + 1;
+        luptr = glu.xlusup(fsupc);    
+        no_zeros = kfnz - fsupc; 
+        
+        Index isub = lptr + no_zeros;
+        Index off = u_rows-segsize;
+        for (Index i = 0; i < off; i++) U(i,u_col) = 0;
+        for (Index i = 0; i < segsize; i++)
+        {
+          Index irow = glu.lsub(isub); 
+          U(i+off,u_col) = dense_col(irow); 
+          ++isub; 
+        }
+        u_col++;
+      }
+      // solve U = A^-1 U
+      luptr = glu.xlusup(fsupc);
+      Index lda = glu.xlusup(fsupc+1) - glu.xlusup(fsupc);
+      no_zeros = (krep - u_rows + 1) - fsupc;
+      luptr += lda * no_zeros + no_zeros;
+      MappedMatrixBlock A(glu.lusup.data()+luptr, u_rows, u_rows, OuterStride<>(lda) );
+      U = A.template triangularView<UnitLower>().solve(U);
+      
+      // update
+      luptr += u_rows;
+      MappedMatrixBlock B(glu.lusup.data()+luptr, nrow, u_rows, OuterStride<>(lda) );
+      eigen_assert(tempv.size()>w*ldu + nrow*w + 1);
+      
+      Index ldl = internal::first_multiple<Index>(nrow, PacketSize);
+      Index offset = (PacketSize-internal::first_default_aligned(B.data(), PacketSize)) % PacketSize;
+      MappedMatrixBlock L(tempv.data()+w*ldu+offset, nrow, u_cols, OuterStride<>(ldl));
+      
+      L.setZero();
+      internal::sparselu_gemm<Scalar>(L.rows(), L.cols(), B.cols(), B.data(), B.outerStride(), U.data(), U.outerStride(), L.data(), L.outerStride());
+      
+      // scatter U and L
+      u_col = 0;
+      for (jj = jcol; jj < jcol + w; jj++)
+      {
+        nextl_col = (jj-jcol) * m; 
+        VectorBlock<IndexVector> repfnz_col(repfnz, nextl_col, m); // First nonzero column index for each row
+        VectorBlock<ScalarVector> dense_col(dense, nextl_col, m); // Scatter/gather entire matrix column from/to here
+        
+        kfnz = repfnz_col(krep); 
+        if ( kfnz == emptyIdxLU ) 
+          continue; // skip any zero segment
+        
+        segsize = krep - kfnz + 1;
+        no_zeros = kfnz - fsupc; 
+        Index isub = lptr + no_zeros;
+        
+        Index off = u_rows-segsize;
+        for (Index i = 0; i < segsize; i++)
+        {
+          Index irow = glu.lsub(isub++); 
+          dense_col(irow) = U.coeff(i+off,u_col);
+          U.coeffRef(i+off,u_col) = 0;
+        }
+        
+        // Scatter l into SPA dense[]
+        for (Index i = 0; i < nrow; i++)
+        {
+          Index irow = glu.lsub(isub++); 
+          dense_col(irow) -= L.coeff(i,u_col);
+          L.coeffRef(i,u_col) = 0;
+        }
+        u_col++;
+      }
+    }
+    else // level 2 only
+    {
+      // Sequence through each column in the panel
+      for (jj = jcol; jj < jcol + w; jj++)
+      {
+        nextl_col = (jj-jcol) * m; 
+        VectorBlock<IndexVector> repfnz_col(repfnz, nextl_col, m); // First nonzero column index for each row
+        VectorBlock<ScalarVector> dense_col(dense, nextl_col, m); // Scatter/gather entire matrix column from/to here
+        
+        kfnz = repfnz_col(krep); 
+        if ( kfnz == emptyIdxLU ) 
+          continue; // skip any zero segment
+        
+        segsize = krep - kfnz + 1;
+        luptr = glu.xlusup(fsupc);
+        
+        Index lda = glu.xlusup(fsupc+1)-glu.xlusup(fsupc);// nsupr
+        
+        // Perform a trianglar solve and block update, 
+        // then scatter the result of sup-col update to dense[]
+        no_zeros = kfnz - fsupc; 
+              if(segsize==1)  LU_kernel_bmod<1>::run(segsize, dense_col, tempv, glu.lusup, luptr, lda, nrow, glu.lsub, lptr, no_zeros);
+        else  if(segsize==2)  LU_kernel_bmod<2>::run(segsize, dense_col, tempv, glu.lusup, luptr, lda, nrow, glu.lsub, lptr, no_zeros);
+        else  if(segsize==3)  LU_kernel_bmod<3>::run(segsize, dense_col, tempv, glu.lusup, luptr, lda, nrow, glu.lsub, lptr, no_zeros);
+        else                  LU_kernel_bmod<Dynamic>::run(segsize, dense_col, tempv, glu.lusup, luptr, lda, nrow, glu.lsub, lptr, no_zeros); 
+      } // End for each column in the panel 
+    }
+    
+  } // End for each updating supernode
+} // end panel bmod
+
+} // end namespace internal
+
+} // end namespace Eigen
+
+#endif // SPARSELU_PANEL_BMOD_H
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_SupernodalMatrix.h
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_SupernodalMatrix.h	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_SupernodalMatrix.h	(revision 3761)
@@ -0,0 +1,301 @@
+// This file is part of Eigen, a lightweight C++ template library
+// for linear algebra.
+//
+// Copyright (C) 2012 DÃ©sirÃ© Nuentsa-Wakam <desire.nuentsa_wakam@inria.fr>
+// Copyright (C) 2012 Gael Guennebaud <gael.guennebaud@inria.fr>
+//
+// This Source Code Form is subject to the terms of the Mozilla
+// Public License v. 2.0. If a copy of the MPL was not distributed
+// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
+
+#ifndef EIGEN_SPARSELU_SUPERNODAL_MATRIX_H
+#define EIGEN_SPARSELU_SUPERNODAL_MATRIX_H
+
+namespace Eigen {
+namespace internal {
+
+/** \ingroup SparseLU_Module
+ * \brief a class to manipulate the L supernodal factor from the SparseLU factorization
+ * 
+ * This class  contain the data to easily store 
+ * and manipulate the supernodes during the factorization and solution phase of Sparse LU. 
+ * Only the lower triangular matrix has supernodes.
+ * 
+ * NOTE : This class corresponds to the SCformat structure in SuperLU
+ * 
+ */
+/* TODO
+ * InnerIterator as for sparsematrix 
+ * SuperInnerIterator to iterate through all supernodes 
+ * Function for triangular solve
+ */
+template <typename _Scalar, typename _StorageIndex>
+class MappedSuperNodalMatrix
+{
+  public:
+    typedef _Scalar Scalar; 
+    typedef _StorageIndex StorageIndex;
+    typedef Matrix<StorageIndex,Dynamic,1> IndexVector;
+    typedef Matrix<Scalar,Dynamic,1> ScalarVector;
+  public:
+    MappedSuperNodalMatrix()
+    {
+      
+    }
+    MappedSuperNodalMatrix(Index m, Index n,  ScalarVector& nzval, IndexVector& nzval_colptr, IndexVector& rowind,
+             IndexVector& rowind_colptr, IndexVector& col_to_sup, IndexVector& sup_to_col )
+    {
+      setInfos(m, n, nzval, nzval_colptr, rowind, rowind_colptr, col_to_sup, sup_to_col);
+    }
+    
+    ~MappedSuperNodalMatrix()
+    {
+      
+    }
+    /**
+     * Set appropriate pointers for the lower triangular supernodal matrix
+     * These infos are available at the end of the numerical factorization
+     * FIXME This class will be modified such that it can be use in the course 
+     * of the factorization.
+     */
+    void setInfos(Index m, Index n, ScalarVector& nzval, IndexVector& nzval_colptr, IndexVector& rowind,
+             IndexVector& rowind_colptr, IndexVector& col_to_sup, IndexVector& sup_to_col )
+    {
+      m_row = m;
+      m_col = n; 
+      m_nzval = nzval.data(); 
+      m_nzval_colptr = nzval_colptr.data(); 
+      m_rowind = rowind.data(); 
+      m_rowind_colptr = rowind_colptr.data(); 
+      m_nsuper = col_to_sup(n); 
+      m_col_to_sup = col_to_sup.data(); 
+      m_sup_to_col = sup_to_col.data(); 
+    }
+    
+    /**
+     * Number of rows
+     */
+    Index rows() { return m_row; }
+    
+    /**
+     * Number of columns
+     */
+    Index cols() { return m_col; }
+    
+    /**
+     * Return the array of nonzero values packed by column
+     * 
+     * The size is nnz
+     */
+    Scalar* valuePtr() {  return m_nzval; }
+    
+    const Scalar* valuePtr() const 
+    {
+      return m_nzval; 
+    }
+    /**
+     * Return the pointers to the beginning of each column in \ref valuePtr()
+     */
+    StorageIndex* colIndexPtr()
+    {
+      return m_nzval_colptr; 
+    }
+    
+    const StorageIndex* colIndexPtr() const
+    {
+      return m_nzval_colptr; 
+    }
+    
+    /**
+     * Return the array of compressed row indices of all supernodes
+     */
+    StorageIndex* rowIndex()  { return m_rowind; }
+    
+    const StorageIndex* rowIndex() const
+    {
+      return m_rowind; 
+    }
+    
+    /**
+     * Return the location in \em rowvaluePtr() which starts each column
+     */
+    StorageIndex* rowIndexPtr() { return m_rowind_colptr; }
+    
+    const StorageIndex* rowIndexPtr() const
+    {
+      return m_rowind_colptr; 
+    }
+    
+    /** 
+     * Return the array of column-to-supernode mapping 
+     */
+    StorageIndex* colToSup()  { return m_col_to_sup; }
+    
+    const StorageIndex* colToSup() const
+    {
+      return m_col_to_sup;       
+    }
+    /**
+     * Return the array of supernode-to-column mapping
+     */
+    StorageIndex* supToCol() { return m_sup_to_col; }
+    
+    const StorageIndex* supToCol() const
+    {
+      return m_sup_to_col;
+    }
+    
+    /**
+     * Return the number of supernodes
+     */
+    Index nsuper() const
+    {
+      return m_nsuper; 
+    }
+    
+    class InnerIterator; 
+    template<typename Dest>
+    void solveInPlace( MatrixBase<Dest>&X) const;
+    
+      
+      
+    
+  protected:
+    Index m_row; // Number of rows
+    Index m_col; // Number of columns
+    Index m_nsuper; // Number of supernodes
+    Scalar* m_nzval; //array of nonzero values packed by column
+    StorageIndex* m_nzval_colptr; //nzval_colptr[j] Stores the location in nzval[] which starts column j
+    StorageIndex* m_rowind; // Array of compressed row indices of rectangular supernodes
+    StorageIndex* m_rowind_colptr; //rowind_colptr[j] stores the location in rowind[] which starts column j
+    StorageIndex* m_col_to_sup; // col_to_sup[j] is the supernode number to which column j belongs
+    StorageIndex* m_sup_to_col; //sup_to_col[s] points to the starting column of the s-th supernode
+    
+  private :
+};
+
+/**
+  * \brief InnerIterator class to iterate over nonzero values of the current column in the supernodal matrix L
+  * 
+  */
+template<typename Scalar, typename StorageIndex>
+class MappedSuperNodalMatrix<Scalar,StorageIndex>::InnerIterator
+{
+  public:
+     InnerIterator(const MappedSuperNodalMatrix& mat, Index outer)
+      : m_matrix(mat),
+        m_outer(outer),
+        m_supno(mat.colToSup()[outer]),
+        m_idval(mat.colIndexPtr()[outer]),
+        m_startidval(m_idval),
+        m_endidval(mat.colIndexPtr()[outer+1]),
+        m_idrow(mat.rowIndexPtr()[mat.supToCol()[mat.colToSup()[outer]]]),
+        m_endidrow(mat.rowIndexPtr()[mat.supToCol()[mat.colToSup()[outer]]+1])
+    {}
+    inline InnerIterator& operator++()
+    { 
+      m_idval++; 
+      m_idrow++;
+      return *this;
+    }
+    inline Scalar value() const { return m_matrix.valuePtr()[m_idval]; }
+    
+    inline Scalar& valueRef() { return const_cast<Scalar&>(m_matrix.valuePtr()[m_idval]); }
+    
+    inline Index index() const { return m_matrix.rowIndex()[m_idrow]; }
+    inline Index row() const { return index(); }
+    inline Index col() const { return m_outer; }
+    
+    inline Index supIndex() const { return m_supno; }
+    
+    inline operator bool() const 
+    { 
+      return ( (m_idval < m_endidval) && (m_idval >= m_startidval)
+                && (m_idrow < m_endidrow) );
+    }
+    
+  protected:
+    const MappedSuperNodalMatrix& m_matrix; // Supernodal lower triangular matrix 
+    const Index m_outer;                    // Current column 
+    const Index m_supno;                    // Current SuperNode number
+    Index m_idval;                          // Index to browse the values in the current column
+    const Index m_startidval;               // Start of the column value
+    const Index m_endidval;                 // End of the column value
+    Index m_idrow;                          // Index to browse the row indices 
+    Index m_endidrow;                       // End index of row indices of the current column
+};
+
+/**
+ * \brief Solve with the supernode triangular matrix
+ * 
+ */
+template<typename Scalar, typename Index_>
+template<typename Dest>
+void MappedSuperNodalMatrix<Scalar,Index_>::solveInPlace( MatrixBase<Dest>&X) const
+{
+    /* Explicit type conversion as the Index type of MatrixBase<Dest> may be wider than Index */
+//    eigen_assert(X.rows() <= NumTraits<Index>::highest());
+//    eigen_assert(X.cols() <= NumTraits<Index>::highest());
+    Index n    = int(X.rows());
+    Index nrhs = Index(X.cols());
+    const Scalar * Lval = valuePtr();                 // Nonzero values 
+    Matrix<Scalar,Dynamic,Dest::ColsAtCompileTime, ColMajor> work(n, nrhs);     // working vector
+    work.setZero();
+    for (Index k = 0; k <= nsuper(); k ++)
+    {
+      Index fsupc = supToCol()[k];                    // First column of the current supernode 
+      Index istart = rowIndexPtr()[fsupc];            // Pointer index to the subscript of the current column
+      Index nsupr = rowIndexPtr()[fsupc+1] - istart;  // Number of rows in the current supernode
+      Index nsupc = supToCol()[k+1] - fsupc;          // Number of columns in the current supernode
+      Index nrow = nsupr - nsupc;                     // Number of rows in the non-diagonal part of the supernode
+      Index irow;                                     //Current index row
+      
+      if (nsupc == 1 )
+      {
+        for (Index j = 0; j < nrhs; j++)
+        {
+          InnerIterator it(*this, fsupc);
+          ++it; // Skip the diagonal element
+          for (; it; ++it)
+          {
+            irow = it.row();
+            X(irow, j) -= X(fsupc, j) * it.value();
+          }
+        }
+      }
+      else
+      {
+        // The supernode has more than one column 
+        Index luptr = colIndexPtr()[fsupc]; 
+        Index lda = colIndexPtr()[fsupc+1] - luptr;
+        
+        // Triangular solve 
+        Map<const Matrix<Scalar,Dynamic,Dynamic, ColMajor>, 0, OuterStride<> > A( &(Lval[luptr]), nsupc, nsupc, OuterStride<>(lda) );
+        Map< Matrix<Scalar,Dynamic,Dest::ColsAtCompileTime, ColMajor>, 0, OuterStride<> > U (&(X(fsupc,0)), nsupc, nrhs, OuterStride<>(n) );
+        U = A.template triangularView<UnitLower>().solve(U); 
+        
+        // Matrix-vector product 
+        new (&A) Map<const Matrix<Scalar,Dynamic,Dynamic, ColMajor>, 0, OuterStride<> > ( &(Lval[luptr+nsupc]), nrow, nsupc, OuterStride<>(lda) );
+        work.topRows(nrow).noalias() = A * U;
+        
+        //Begin Scatter 
+        for (Index j = 0; j < nrhs; j++)
+        {
+          Index iptr = istart + nsupc; 
+          for (Index i = 0; i < nrow; i++)
+          {
+            irow = rowIndex()[iptr]; 
+            X(irow, j) -= work(i, j); // Scatter operation
+            work(i, j) = Scalar(0); 
+            iptr++;
+          }
+        }
+      }
+    } 
+}
+
+} // end namespace internal
+
+} // end namespace Eigen
+
+#endif // EIGEN_SPARSELU_MATRIX_H
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/SparseLU/SparseLUImpl.h
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/SparseLU/SparseLUImpl.h	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/SparseLU/SparseLUImpl.h	(revision 3761)
@@ -0,0 +1,66 @@
+// This file is part of Eigen, a lightweight C++ template library
+// for linear algebra.
+//
+// Copyright (C) 2012 DÃ©sirÃ© Nuentsa-Wakam <desire.nuentsa_wakam@inria.fr>
+//
+// This Source Code Form is subject to the terms of the Mozilla
+// Public License v. 2.0. If a copy of the MPL was not distributed
+// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
+#ifndef SPARSELU_IMPL_H
+#define SPARSELU_IMPL_H
+
+namespace Eigen {
+namespace internal {
+  
+/** \ingroup SparseLU_Module
+  * \class SparseLUImpl
+  * Base class for sparseLU
+  */
+template <typename Scalar, typename StorageIndex>
+class SparseLUImpl
+{
+  public:
+    typedef Matrix<Scalar,Dynamic,1> ScalarVector;
+    typedef Matrix<StorageIndex,Dynamic,1> IndexVector; 
+    typedef Matrix<Scalar,Dynamic,Dynamic,ColMajor> ScalarMatrix;
+    typedef Map<ScalarMatrix, 0,  OuterStride<> > MappedMatrixBlock;
+    typedef typename ScalarVector::RealScalar RealScalar; 
+    typedef Ref<Matrix<Scalar,Dynamic,1> > BlockScalarVector;
+    typedef Ref<Matrix<StorageIndex,Dynamic,1> > BlockIndexVector;
+    typedef LU_GlobalLU_t<IndexVector, ScalarVector> GlobalLU_t; 
+    typedef SparseMatrix<Scalar,ColMajor,StorageIndex> MatrixType; 
+    
+  protected:
+     template <typename VectorType>
+     Index expand(VectorType& vec, Index& length, Index nbElts, Index keep_prev, Index& num_expansions);
+     Index memInit(Index m, Index n, Index annz, Index lwork, Index fillratio, Index panel_size,  GlobalLU_t& glu); 
+     template <typename VectorType>
+     Index memXpand(VectorType& vec, Index& maxlen, Index nbElts, MemType memtype, Index& num_expansions);
+     void heap_relax_snode (const Index n, IndexVector& et, const Index relax_columns, IndexVector& descendants, IndexVector& relax_end); 
+     void relax_snode (const Index n, IndexVector& et, const Index relax_columns, IndexVector& descendants, IndexVector& relax_end); 
+     Index snode_dfs(const Index jcol, const Index kcol,const MatrixType& mat,  IndexVector& xprune, IndexVector& marker, GlobalLU_t& glu); 
+     Index snode_bmod (const Index jcol, const Index fsupc, ScalarVector& dense, GlobalLU_t& glu);
+     Index pivotL(const Index jcol, const RealScalar& diagpivotthresh, IndexVector& perm_r, IndexVector& iperm_c, Index& pivrow, GlobalLU_t& glu);
+     template <typename Traits>
+     void dfs_kernel(const StorageIndex jj, IndexVector& perm_r,
+                    Index& nseg, IndexVector& panel_lsub, IndexVector& segrep,
+                    Ref<IndexVector> repfnz_col, IndexVector& xprune, Ref<IndexVector> marker, IndexVector& parent,
+                    IndexVector& xplore, GlobalLU_t& glu, Index& nextl_col, Index krow, Traits& traits);
+     void panel_dfs(const Index m, const Index w, const Index jcol, MatrixType& A, IndexVector& perm_r, Index& nseg, ScalarVector& dense, IndexVector& panel_lsub, IndexVector& segrep, IndexVector& repfnz, IndexVector& xprune, IndexVector& marker, IndexVector& parent, IndexVector& xplore, GlobalLU_t& glu);
+    
+     void panel_bmod(const Index m, const Index w, const Index jcol, const Index nseg, ScalarVector& dense, ScalarVector& tempv, IndexVector& segrep, IndexVector& repfnz, GlobalLU_t& glu);
+     Index column_dfs(const Index m, const Index jcol, IndexVector& perm_r, Index maxsuper, Index& nseg,  BlockIndexVector lsub_col, IndexVector& segrep, BlockIndexVector repfnz, IndexVector& xprune, IndexVector& marker, IndexVector& parent, IndexVector& xplore, GlobalLU_t& glu);
+     Index column_bmod(const Index jcol, const Index nseg, BlockScalarVector dense, ScalarVector& tempv, BlockIndexVector segrep, BlockIndexVector repfnz, Index fpanelc, GlobalLU_t& glu); 
+     Index copy_to_ucol(const Index jcol, const Index nseg, IndexVector& segrep, BlockIndexVector repfnz ,IndexVector& perm_r, BlockScalarVector dense, GlobalLU_t& glu); 
+     void pruneL(const Index jcol, const IndexVector& perm_r, const Index pivrow, const Index nseg, const IndexVector& segrep, BlockIndexVector repfnz, IndexVector& xprune, GlobalLU_t& glu);
+     void countnz(const Index n, Index& nnzL, Index& nnzU, GlobalLU_t& glu); 
+     void fixupL(const Index n, const IndexVector& perm_r, GlobalLU_t& glu); 
+     
+     template<typename , typename >
+     friend struct column_dfs_traits;
+}; 
+
+} // end namespace internal
+} // namespace Eigen
+
+#endif
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_relax_snode.h
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_relax_snode.h	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_relax_snode.h	(revision 3761)
@@ -0,0 +1,83 @@
+// This file is part of Eigen, a lightweight C++ template library
+// for linear algebra.
+//
+// Copyright (C) 2012 DÃ©sirÃ© Nuentsa-Wakam <desire.nuentsa_wakam@inria.fr>
+//
+// This Source Code Form is subject to the terms of the Mozilla
+// Public License v. 2.0. If a copy of the MPL was not distributed
+// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
+
+/* This file is a modified version of heap_relax_snode.c file in SuperLU
+ * -- SuperLU routine (version 3.0) --
+ * Univ. of California Berkeley, Xerox Palo Alto Research Center,
+ * and Lawrence Berkeley National Lab.
+ * October 15, 2003
+ *
+ * Copyright (c) 1994 by Xerox Corporation.  All rights reserved.
+ *
+ * THIS MATERIAL IS PROVIDED AS IS, WITH ABSOLUTELY NO WARRANTY
+ * EXPRESSED OR IMPLIED.  ANY USE IS AT YOUR OWN RISK.
+ *
+ * Permission is hereby granted to use or copy this program for any
+ * purpose, provided the above notices are retained on all copies.
+ * Permission to modify the code and to distribute modified code is
+ * granted, provided the above notices are retained, and a notice that
+ * the code was modified is included with the above copyright notice.
+ */
+
+#ifndef SPARSELU_RELAX_SNODE_H
+#define SPARSELU_RELAX_SNODE_H
+
+namespace Eigen {
+
+namespace internal {
+ 
+/** 
+ * \brief Identify the initial relaxed supernodes
+ * 
+ * This routine is applied to a column elimination tree. 
+ * It assumes that the matrix has been reordered according to the postorder of the etree
+ * \param n  the number of columns
+ * \param et elimination tree 
+ * \param relax_columns Maximum number of columns allowed in a relaxed snode 
+ * \param descendants Number of descendants of each node in the etree
+ * \param relax_end last column in a supernode
+ */
+template <typename Scalar, typename StorageIndex>
+void SparseLUImpl<Scalar,StorageIndex>::relax_snode (const Index n, IndexVector& et, const Index relax_columns, IndexVector& descendants, IndexVector& relax_end)
+{
+  
+  // compute the number of descendants of each node in the etree
+  Index parent; 
+  relax_end.setConstant(emptyIdxLU);
+  descendants.setZero();
+  for (Index j = 0; j < n; j++) 
+  {
+    parent = et(j);
+    if (parent != n) // not the dummy root
+      descendants(parent) += descendants(j) + 1;
+  }
+  // Identify the relaxed supernodes by postorder traversal of the etree
+  Index snode_start; // beginning of a snode 
+  for (Index j = 0; j < n; )
+  {
+    parent = et(j);
+    snode_start = j; 
+    while ( parent != n && descendants(parent) < relax_columns ) 
+    {
+      j = parent; 
+      parent = et(j);
+    }
+    // Found a supernode in postordered etree, j is the last column 
+    relax_end(snode_start) = StorageIndex(j); // Record last column
+    j++;
+    // Search for a new leaf
+    while (descendants(j) != 0 && j < n) j++;
+  } // End postorder traversal of the etree
+  
+}
+
+} // end namespace internal
+
+} // end namespace Eigen
+#endif
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_pruneL.h
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_pruneL.h	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_pruneL.h	(revision 3761)
@@ -0,0 +1,136 @@
+// This file is part of Eigen, a lightweight C++ template library
+// for linear algebra.
+//
+// Copyright (C) 2012 DÃ©sirÃ© Nuentsa-Wakam <desire.nuentsa_wakam@inria.fr>
+//
+// This Source Code Form is subject to the terms of the Mozilla
+// Public License v. 2.0. If a copy of the MPL was not distributed
+// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
+
+/* 
+ 
+ * NOTE: This file is the modified version of [s,d,c,z]pruneL.c file in SuperLU 
+ 
+ * -- SuperLU routine (version 2.0) --
+ * Univ. of California Berkeley, Xerox Palo Alto Research Center,
+ * and Lawrence Berkeley National Lab.
+ * November 15, 1997
+ *
+ * Copyright (c) 1994 by Xerox Corporation.  All rights reserved.
+ *
+ * THIS MATERIAL IS PROVIDED AS IS, WITH ABSOLUTELY NO WARRANTY
+ * EXPRESSED OR IMPLIED.  ANY USE IS AT YOUR OWN RISK.
+ *
+ * Permission is hereby granted to use or copy this program for any
+ * purpose, provided the above notices are retained on all copies.
+ * Permission to modify the code and to distribute modified code is
+ * granted, provided the above notices are retained, and a notice that
+ * the code was modified is included with the above copyright notice.
+ */
+#ifndef SPARSELU_PRUNEL_H
+#define SPARSELU_PRUNEL_H
+
+namespace Eigen {
+namespace internal {
+
+/**
+ * \brief Prunes the L-structure.
+ *
+ * It prunes the L-structure  of supernodes whose L-structure contains the current pivot row "pivrow"
+ * 
+ * 
+ * \param jcol The current column of L
+ * \param[in] perm_r Row permutation
+ * \param[out] pivrow  The pivot row
+ * \param nseg Number of segments
+ * \param segrep 
+ * \param repfnz
+ * \param[out] xprune 
+ * \param glu Global LU data
+ * 
+ */
+template <typename Scalar, typename StorageIndex>
+void SparseLUImpl<Scalar,StorageIndex>::pruneL(const Index jcol, const IndexVector& perm_r, const Index pivrow, const Index nseg,
+                                               const IndexVector& segrep, BlockIndexVector repfnz, IndexVector& xprune, GlobalLU_t& glu)
+{
+  // For each supernode-rep irep in U(*,j]
+  Index jsupno = glu.supno(jcol); 
+  Index i,irep,irep1; 
+  bool movnum, do_prune = false; 
+  Index kmin = 0, kmax = 0, minloc, maxloc,krow; 
+  for (i = 0; i < nseg; i++)
+  {
+    irep = segrep(i); 
+    irep1 = irep + 1; 
+    do_prune = false; 
+    
+    // Don't prune with a zero U-segment 
+    if (repfnz(irep) == emptyIdxLU) continue; 
+    
+    // If a snode overlaps with the next panel, then the U-segment
+    // is fragmented into two parts -- irep and irep1. We should let 
+    // pruning occur at the rep-column in irep1s snode. 
+    if (glu.supno(irep) == glu.supno(irep1) ) continue; // don't prune 
+    
+    // If it has not been pruned & it has a nonz in row L(pivrow,i)
+    if (glu.supno(irep) != jsupno )
+    {
+      if ( xprune (irep) >= glu.xlsub(irep1) )
+      {
+        kmin = glu.xlsub(irep);
+        kmax = glu.xlsub(irep1) - 1; 
+        for (krow = kmin; krow <= kmax; krow++)
+        {
+          if (glu.lsub(krow) == pivrow) 
+          {
+            do_prune = true; 
+            break; 
+          }
+        }
+      }
+      
+      if (do_prune) 
+      {
+        // do a quicksort-type partition
+        // movnum=true means that the num values have to be exchanged
+        movnum = false; 
+        if (irep == glu.xsup(glu.supno(irep)) ) // Snode of size 1 
+          movnum = true; 
+        
+        while (kmin <= kmax)
+        {
+          if (perm_r(glu.lsub(kmax)) == emptyIdxLU)
+            kmax--; 
+          else if ( perm_r(glu.lsub(kmin)) != emptyIdxLU)
+            kmin++;
+          else 
+          {
+            // kmin below pivrow (not yet pivoted), and kmax
+            // above pivrow: interchange the two suscripts
+            std::swap(glu.lsub(kmin), glu.lsub(kmax)); 
+            
+            // If the supernode has only one column, then we 
+            // only keep one set of subscripts. For any subscript
+            // intercnahge performed, similar interchange must be 
+            // done on the numerical values. 
+            if (movnum) 
+            {
+              minloc = glu.xlusup(irep) + ( kmin - glu.xlsub(irep) ); 
+              maxloc = glu.xlusup(irep) + ( kmax - glu.xlsub(irep) ); 
+              std::swap(glu.lusup(minloc), glu.lusup(maxloc)); 
+            }
+            kmin++;
+            kmax--;
+          }
+        } // end while 
+        
+        xprune(irep) = StorageIndex(kmin);  //Pruning 
+      } // end if do_prune 
+    } // end pruning 
+  } // End for each U-segment
+}
+
+} // end namespace internal
+} // end namespace Eigen
+
+#endif // SPARSELU_PRUNEL_H
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_Structs.h
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_Structs.h	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_Structs.h	(revision 3761)
@@ -0,0 +1,110 @@
+// This file is part of Eigen, a lightweight C++ template library
+// for linear algebra.
+//
+// Copyright (C) 2012 DÃ©sirÃ© Nuentsa-Wakam <desire.nuentsa_wakam@inria.fr>
+//
+// This Source Code Form is subject to the terms of the Mozilla
+// Public License v. 2.0. If a copy of the MPL was not distributed
+// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
+
+/* 
+ * NOTE: This file comes from a partly modified version of files slu_[s,d,c,z]defs.h
+ * -- SuperLU routine (version 4.1) --
+ * Univ. of California Berkeley, Xerox Palo Alto Research Center,
+ * and Lawrence Berkeley National Lab.
+ * November, 2010
+ * 
+ * Global data structures used in LU factorization -
+ * 
+ *   nsuper: #supernodes = nsuper + 1, numbered [0, nsuper].
+ *   (xsup,supno): supno[i] is the supernode no to which i belongs;
+ *  xsup(s) points to the beginning of the s-th supernode.
+ *  e.g.   supno 0 1 2 2 3 3 3 4 4 4 4 4   (n=12)
+ *          xsup 0 1 2 4 7 12
+ *  Note: dfs will be performed on supernode rep. relative to the new 
+ *        row pivoting ordering
+ *
+ *   (xlsub,lsub): lsub[*] contains the compressed subscript of
+ *  rectangular supernodes; xlsub[j] points to the starting
+ *  location of the j-th column in lsub[*]. Note that xlsub 
+ *  is indexed by column.
+ *  Storage: original row subscripts
+ *
+ *      During the course of sparse LU factorization, we also use
+ *  (xlsub,lsub) for the purpose of symmetric pruning. For each
+ *  supernode {s,s+1,...,t=s+r} with first column s and last
+ *  column t, the subscript set
+ *    lsub[j], j=xlsub[s], .., xlsub[s+1]-1
+ *  is the structure of column s (i.e. structure of this supernode).
+ *  It is used for the storage of numerical values.
+ *  Furthermore,
+ *    lsub[j], j=xlsub[t], .., xlsub[t+1]-1
+ *  is the structure of the last column t of this supernode.
+ *  It is for the purpose of symmetric pruning. Therefore, the
+ *  structural subscripts can be rearranged without making physical
+ *  interchanges among the numerical values.
+ *
+ *  However, if the supernode has only one column, then we
+ *  only keep one set of subscripts. For any subscript interchange
+ *  performed, similar interchange must be done on the numerical
+ *  values.
+ *
+ *  The last column structures (for pruning) will be removed
+ *  after the numercial LU factorization phase.
+ *
+ *   (xlusup,lusup): lusup[*] contains the numerical values of the
+ *  rectangular supernodes; xlusup[j] points to the starting
+ *  location of the j-th column in storage vector lusup[*]
+ *  Note: xlusup is indexed by column.
+ *  Each rectangular supernode is stored by column-major
+ *  scheme, consistent with Fortran 2-dim array storage.
+ *
+ *   (xusub,ucol,usub): ucol[*] stores the numerical values of
+ *  U-columns outside the rectangular supernodes. The row
+ *  subscript of nonzero ucol[k] is stored in usub[k].
+ *  xusub[i] points to the starting location of column i in ucol.
+ *  Storage: new row subscripts; that is subscripts of PA.
+ */
+
+#ifndef EIGEN_LU_STRUCTS
+#define EIGEN_LU_STRUCTS
+namespace Eigen {
+namespace internal {
+  
+typedef enum {LUSUP, UCOL, LSUB, USUB, LLVL, ULVL} MemType; 
+
+template <typename IndexVector, typename ScalarVector>
+struct LU_GlobalLU_t {
+  typedef typename IndexVector::Scalar StorageIndex; 
+  IndexVector xsup; //First supernode column ... xsup(s) points to the beginning of the s-th supernode
+  IndexVector supno; // Supernode number corresponding to this column (column to supernode mapping)
+  ScalarVector  lusup; // nonzero values of L ordered by columns 
+  IndexVector lsub; // Compressed row indices of L rectangular supernodes. 
+  IndexVector xlusup; // pointers to the beginning of each column in lusup
+  IndexVector xlsub; // pointers to the beginning of each column in lsub
+  Index   nzlmax; // Current max size of lsub
+  Index   nzlumax; // Current max size of lusup
+  ScalarVector  ucol; // nonzero values of U ordered by columns 
+  IndexVector usub; // row indices of U columns in ucol
+  IndexVector xusub; // Pointers to the beginning of each column of U in ucol 
+  Index   nzumax; // Current max size of ucol
+  Index   n; // Number of columns in the matrix  
+  Index   num_expansions; 
+};
+
+// Values to set for performance
+struct perfvalues {
+  Index panel_size; // a panel consists of at most <panel_size> consecutive columns
+  Index relax; // To control degree of relaxing supernodes. If the number of nodes (columns) 
+                // in a subtree of the elimination tree is less than relax, this subtree is considered 
+                // as one supernode regardless of the row structures of those columns
+  Index maxsuper; // The maximum size for a supernode in complete LU
+  Index rowblk; // The minimum row dimension for 2-D blocking to be used;
+  Index colblk; // The minimum column dimension for 2-D blocking to be used;
+  Index fillfactor; // The estimated fills factors for L and U, compared with A
+}; 
+
+} // end namespace internal
+
+} // end namespace Eigen
+#endif // EIGEN_LU_STRUCTS
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_Memory.h
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_Memory.h	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_Memory.h	(revision 3761)
@@ -0,0 +1,226 @@
+// This file is part of Eigen, a lightweight C++ template library
+// for linear algebra.
+//
+// Copyright (C) 2012 DÃ©sirÃ© Nuentsa-Wakam <desire.nuentsa_wakam@inria.fr>
+//
+// This Source Code Form is subject to the terms of the Mozilla
+// Public License v. 2.0. If a copy of the MPL was not distributed
+// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
+
+/* 
+ 
+ * NOTE: This file is the modified version of [s,d,c,z]memory.c files in SuperLU 
+ 
+ * -- SuperLU routine (version 3.1) --
+ * Univ. of California Berkeley, Xerox Palo Alto Research Center,
+ * and Lawrence Berkeley National Lab.
+ * August 1, 2008
+ *
+ * Copyright (c) 1994 by Xerox Corporation.  All rights reserved.
+ *
+ * THIS MATERIAL IS PROVIDED AS IS, WITH ABSOLUTELY NO WARRANTY
+ * EXPRESSED OR IMPLIED.  ANY USE IS AT YOUR OWN RISK.
+ *
+ * Permission is hereby granted to use or copy this program for any
+ * purpose, provided the above notices are retained on all copies.
+ * Permission to modify the code and to distribute modified code is
+ * granted, provided the above notices are retained, and a notice that
+ * the code was modified is included with the above copyright notice.
+ */
+
+#ifndef EIGEN_SPARSELU_MEMORY
+#define EIGEN_SPARSELU_MEMORY
+
+namespace Eigen {
+namespace internal {
+  
+enum { LUNoMarker = 3 };
+enum {emptyIdxLU = -1};
+inline Index LUnumTempV(Index& m, Index& w, Index& t, Index& b)
+{
+  return (std::max)(m, (t+b)*w);
+}
+
+template< typename Scalar>
+inline Index LUTempSpace(Index&m, Index& w)
+{
+  return (2*w + 4 + LUNoMarker) * m * sizeof(Index) + (w + 1) * m * sizeof(Scalar);
+}
+
+
+
+
+/** 
+  * Expand the existing storage to accomodate more fill-ins
+  * \param vec Valid pointer to the vector to allocate or expand
+  * \param[in,out] length  At input, contain the current length of the vector that is to be increased. At output, length of the newly allocated vector
+  * \param[in] nbElts Current number of elements in the factors
+  * \param keep_prev  1: use length  and do not expand the vector; 0: compute new_len and expand
+  * \param[in,out] num_expansions Number of times the memory has been expanded
+  */
+template <typename Scalar, typename StorageIndex>
+template <typename VectorType>
+Index  SparseLUImpl<Scalar,StorageIndex>::expand(VectorType& vec, Index& length, Index nbElts, Index keep_prev, Index& num_expansions) 
+{
+  
+  float alpha = 1.5; // Ratio of the memory increase 
+  Index new_len; // New size of the allocated memory
+  
+  if(num_expansions == 0 || keep_prev) 
+    new_len = length ; // First time allocate requested
+  else 
+    new_len = (std::max)(length+1,Index(alpha * length));
+  
+  VectorType old_vec; // Temporary vector to hold the previous values   
+  if (nbElts > 0 )
+    old_vec = vec.segment(0,nbElts); 
+  
+  //Allocate or expand the current vector
+#ifdef EIGEN_EXCEPTIONS
+  try
+#endif
+  {
+    vec.resize(new_len); 
+  }
+#ifdef EIGEN_EXCEPTIONS
+  catch(std::bad_alloc& )
+#else
+  if(!vec.size())
+#endif
+  {
+    if (!num_expansions)
+    {
+      // First time to allocate from LUMemInit()
+      // Let LUMemInit() deals with it.
+      return -1;
+    }
+    if (keep_prev)
+    {
+      // In this case, the memory length should not not be reduced
+      return new_len;
+    }
+    else 
+    {
+      // Reduce the size and increase again 
+      Index tries = 0; // Number of attempts
+      do 
+      {
+        alpha = (alpha + 1)/2;
+        new_len = (std::max)(length+1,Index(alpha * length));
+#ifdef EIGEN_EXCEPTIONS
+        try
+#endif
+        {
+          vec.resize(new_len); 
+        }
+#ifdef EIGEN_EXCEPTIONS
+        catch(std::bad_alloc& )
+#else
+        if (!vec.size())
+#endif
+        {
+          tries += 1; 
+          if ( tries > 10) return new_len; 
+        }
+      } while (!vec.size());
+    }
+  }
+  //Copy the previous values to the newly allocated space 
+  if (nbElts > 0)
+    vec.segment(0, nbElts) = old_vec;   
+   
+  
+  length  = new_len;
+  if(num_expansions) ++num_expansions;
+  return 0; 
+}
+
+/**
+ * \brief  Allocate various working space for the numerical factorization phase.
+ * \param m number of rows of the input matrix 
+ * \param n number of columns 
+ * \param annz number of initial nonzeros in the matrix 
+ * \param lwork  if lwork=-1, this routine returns an estimated size of the required memory
+ * \param glu persistent data to facilitate multiple factors : will be deleted later ??
+ * \param fillratio estimated ratio of fill in the factors
+ * \param panel_size Size of a panel
+ * \return an estimated size of the required memory if lwork = -1; otherwise, return the size of actually allocated memory when allocation failed, and 0 on success
+ * \note Unlike SuperLU, this routine does not support successive factorization with the same pattern and the same row permutation
+ */
+template <typename Scalar, typename StorageIndex>
+Index SparseLUImpl<Scalar,StorageIndex>::memInit(Index m, Index n, Index annz, Index lwork, Index fillratio, Index panel_size,  GlobalLU_t& glu)
+{
+  Index& num_expansions = glu.num_expansions; //No memory expansions so far
+  num_expansions = 0;
+  glu.nzumax = glu.nzlumax = (std::min)(fillratio * (annz+1) / n, m) * n; // estimated number of nonzeros in U 
+  glu.nzlmax = (std::max)(Index(4), fillratio) * (annz+1) / 4; // estimated  nnz in L factor
+  // Return the estimated size to the user if necessary
+  Index tempSpace;
+  tempSpace = (2*panel_size + 4 + LUNoMarker) * m * sizeof(Index) + (panel_size + 1) * m * sizeof(Scalar);
+  if (lwork == emptyIdxLU) 
+  {
+    Index estimated_size;
+    estimated_size = (5 * n + 5) * sizeof(Index)  + tempSpace
+                    + (glu.nzlmax + glu.nzumax) * sizeof(Index) + (glu.nzlumax+glu.nzumax) *  sizeof(Scalar) + n; 
+    return estimated_size;
+  }
+  
+  // Setup the required space 
+  
+  // First allocate Integer pointers for L\U factors
+  glu.xsup.resize(n+1);
+  glu.supno.resize(n+1);
+  glu.xlsub.resize(n+1);
+  glu.xlusup.resize(n+1);
+  glu.xusub.resize(n+1);
+
+  // Reserve memory for L/U factors
+  do 
+  {
+    if(     (expand<ScalarVector>(glu.lusup, glu.nzlumax, 0, 0, num_expansions)<0)
+        ||  (expand<ScalarVector>(glu.ucol,  glu.nzumax,  0, 0, num_expansions)<0)
+        ||  (expand<IndexVector> (glu.lsub,  glu.nzlmax,  0, 0, num_expansions)<0)
+        ||  (expand<IndexVector> (glu.usub,  glu.nzumax,  0, 1, num_expansions)<0) )
+    {
+      //Reduce the estimated size and retry
+      glu.nzlumax /= 2;
+      glu.nzumax /= 2;
+      glu.nzlmax /= 2;
+      if (glu.nzlumax < annz ) return glu.nzlumax; 
+    }
+  } while (!glu.lusup.size() || !glu.ucol.size() || !glu.lsub.size() || !glu.usub.size());
+  
+  ++num_expansions;
+  return 0;
+  
+} // end LuMemInit
+
+/** 
+ * \brief Expand the existing storage 
+ * \param vec vector to expand 
+ * \param[in,out] maxlen On input, previous size of vec (Number of elements to copy ). on output, new size
+ * \param nbElts current number of elements in the vector.
+ * \param memtype Type of the element to expand
+ * \param num_expansions Number of expansions 
+ * \return 0 on success, > 0 size of the memory allocated so far
+ */
+template <typename Scalar, typename StorageIndex>
+template <typename VectorType>
+Index SparseLUImpl<Scalar,StorageIndex>::memXpand(VectorType& vec, Index& maxlen, Index nbElts, MemType memtype, Index& num_expansions)
+{
+  Index failed_size; 
+  if (memtype == USUB)
+     failed_size = this->expand<VectorType>(vec, maxlen, nbElts, 1, num_expansions);
+  else
+    failed_size = this->expand<VectorType>(vec, maxlen, nbElts, 0, num_expansions);
+
+  if (failed_size)
+    return failed_size; 
+  
+  return 0 ;  
+}
+
+} // end namespace internal
+
+} // end namespace Eigen
+#endif // EIGEN_SPARSELU_MEMORY
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_pivotL.h
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_pivotL.h	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_pivotL.h	(revision 3761)
@@ -0,0 +1,137 @@
+// This file is part of Eigen, a lightweight C++ template library
+// for linear algebra.
+//
+// Copyright (C) 2012 DÃ©sirÃ© Nuentsa-Wakam <desire.nuentsa_wakam@inria.fr>
+//
+// This Source Code Form is subject to the terms of the Mozilla
+// Public License v. 2.0. If a copy of the MPL was not distributed
+// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
+
+/* 
+ 
+ * NOTE: This file is the modified version of xpivotL.c file in SuperLU 
+ 
+ * -- SuperLU routine (version 3.0) --
+ * Univ. of California Berkeley, Xerox Palo Alto Research Center,
+ * and Lawrence Berkeley National Lab.
+ * October 15, 2003
+ *
+ * Copyright (c) 1994 by Xerox Corporation.  All rights reserved.
+ *
+ * THIS MATERIAL IS PROVIDED AS IS, WITH ABSOLUTELY NO WARRANTY
+ * EXPRESSED OR IMPLIED.  ANY USE IS AT YOUR OWN RISK.
+ *
+ * Permission is hereby granted to use or copy this program for any
+ * purpose, provided the above notices are retained on all copies.
+ * Permission to modify the code and to distribute modified code is
+ * granted, provided the above notices are retained, and a notice that
+ * the code was modified is included with the above copyright notice.
+ */
+#ifndef SPARSELU_PIVOTL_H
+#define SPARSELU_PIVOTL_H
+
+namespace Eigen {
+namespace internal {
+  
+/**
+ * \brief Performs the numerical pivotin on the current column of L, and the CDIV operation.
+ * 
+ * Pivot policy :
+ * (1) Compute thresh = u * max_(i>=j) abs(A_ij);
+ * (2) IF user specifies pivot row k and abs(A_kj) >= thresh THEN
+ *           pivot row = k;
+ *       ELSE IF abs(A_jj) >= thresh THEN
+ *           pivot row = j;
+ *       ELSE
+ *           pivot row = m;
+ * 
+ *   Note: If you absolutely want to use a given pivot order, then set u=0.0.
+ * 
+ * \param jcol The current column of L
+ * \param diagpivotthresh diagonal pivoting threshold
+ * \param[in,out] perm_r Row permutation (threshold pivoting)
+ * \param[in] iperm_c column permutation - used to finf diagonal of Pc*A*Pc'
+ * \param[out] pivrow  The pivot row
+ * \param glu Global LU data
+ * \return 0 if success, i > 0 if U(i,i) is exactly zero 
+ * 
+ */
+template <typename Scalar, typename StorageIndex>
+Index SparseLUImpl<Scalar,StorageIndex>::pivotL(const Index jcol, const RealScalar& diagpivotthresh, IndexVector& perm_r, IndexVector& iperm_c, Index& pivrow, GlobalLU_t& glu)
+{
+  
+  Index fsupc = (glu.xsup)((glu.supno)(jcol)); // First column in the supernode containing the column jcol
+  Index nsupc = jcol - fsupc; // Number of columns in the supernode portion, excluding jcol; nsupc >=0
+  Index lptr = glu.xlsub(fsupc); // pointer to the starting location of the row subscripts for this supernode portion
+  Index nsupr = glu.xlsub(fsupc+1) - lptr; // Number of rows in the supernode
+  Index lda = glu.xlusup(fsupc+1) - glu.xlusup(fsupc); // leading dimension
+  Scalar* lu_sup_ptr = &(glu.lusup.data()[glu.xlusup(fsupc)]); // Start of the current supernode
+  Scalar* lu_col_ptr = &(glu.lusup.data()[glu.xlusup(jcol)]); // Start of jcol in the supernode
+  StorageIndex* lsub_ptr = &(glu.lsub.data()[lptr]); // Start of row indices of the supernode
+  
+  // Determine the largest abs numerical value for partial pivoting 
+  Index diagind = iperm_c(jcol); // diagonal index 
+  RealScalar pivmax(-1.0);
+  Index pivptr = nsupc; 
+  Index diag = emptyIdxLU; 
+  RealScalar rtemp;
+  Index isub, icol, itemp, k; 
+  for (isub = nsupc; isub < nsupr; ++isub) {
+    using std::abs;
+    rtemp = abs(lu_col_ptr[isub]);
+    if (rtemp > pivmax) {
+      pivmax = rtemp; 
+      pivptr = isub;
+    } 
+    if (lsub_ptr[isub] == diagind) diag = isub;
+  }
+  
+  // Test for singularity
+  if ( pivmax <= RealScalar(0.0) ) {
+    // if pivmax == -1, the column is structurally empty, otherwise it is only numerically zero
+    pivrow = pivmax < RealScalar(0.0) ? diagind : lsub_ptr[pivptr];
+    perm_r(pivrow) = StorageIndex(jcol);
+    return (jcol+1);
+  }
+  
+  RealScalar thresh = diagpivotthresh * pivmax; 
+  
+  // Choose appropriate pivotal element 
+  
+  {
+    // Test if the diagonal element can be used as a pivot (given the threshold value)
+    if (diag >= 0 ) 
+    {
+      // Diagonal element exists
+      using std::abs;
+      rtemp = abs(lu_col_ptr[diag]);
+      if (rtemp != RealScalar(0.0) && rtemp >= thresh) pivptr = diag;
+    }
+    pivrow = lsub_ptr[pivptr];
+  }
+  
+  // Record pivot row
+  perm_r(pivrow) = StorageIndex(jcol);
+  // Interchange row subscripts
+  if (pivptr != nsupc )
+  {
+    std::swap( lsub_ptr[pivptr], lsub_ptr[nsupc] );
+    // Interchange numerical values as well, for the two rows in the whole snode
+    // such that L is indexed the same way as A
+    for (icol = 0; icol <= nsupc; icol++)
+    {
+      itemp = pivptr + icol * lda; 
+      std::swap(lu_sup_ptr[itemp], lu_sup_ptr[nsupc + icol * lda]);
+    }
+  }
+  // cdiv operations
+  Scalar temp = Scalar(1.0) / lu_col_ptr[nsupc];
+  for (k = nsupc+1; k < nsupr; k++)
+    lu_col_ptr[k] *= temp; 
+  return 0;
+}
+
+} // end namespace internal
+} // end namespace Eigen
+
+#endif // SPARSELU_PIVOTL_H
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU.h	(revision 3761)
@@ -0,0 +1,773 @@
+// This file is part of Eigen, a lightweight C++ template library
+// for linear algebra.
+//
+// Copyright (C) 2012 DÃ©sirÃ© Nuentsa-Wakam <desire.nuentsa_wakam@inria.fr>
+// Copyright (C) 2012-2014 Gael Guennebaud <gael.guennebaud@inria.fr>
+//
+// This Source Code Form is subject to the terms of the Mozilla
+// Public License v. 2.0. If a copy of the MPL was not distributed
+// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
+
+
+#ifndef EIGEN_SPARSE_LU_H
+#define EIGEN_SPARSE_LU_H
+
+namespace Eigen {
+
+template <typename _MatrixType, typename _OrderingType = COLAMDOrdering<typename _MatrixType::StorageIndex> > class SparseLU;
+template <typename MappedSparseMatrixType> struct SparseLUMatrixLReturnType;
+template <typename MatrixLType, typename MatrixUType> struct SparseLUMatrixUReturnType;
+
+/** \ingroup SparseLU_Module
+  * \class SparseLU
+  * 
+  * \brief Sparse supernodal LU factorization for general matrices
+  * 
+  * This class implements the supernodal LU factorization for general matrices.
+  * It uses the main techniques from the sequential SuperLU package 
+  * (http://crd-legacy.lbl.gov/~xiaoye/SuperLU/). It handles transparently real 
+  * and complex arithmetics with single and double precision, depending on the 
+  * scalar type of your input matrix. 
+  * The code has been optimized to provide BLAS-3 operations during supernode-panel updates. 
+  * It benefits directly from the built-in high-performant Eigen BLAS routines. 
+  * Moreover, when the size of a supernode is very small, the BLAS calls are avoided to 
+  * enable a better optimization from the compiler. For best performance, 
+  * you should compile it with NDEBUG flag to avoid the numerous bounds checking on vectors. 
+  * 
+  * An important parameter of this class is the ordering method. It is used to reorder the columns 
+  * (and eventually the rows) of the matrix to reduce the number of new elements that are created during 
+  * numerical factorization. The cheapest method available is COLAMD. 
+  * See  \link OrderingMethods_Module the OrderingMethods module \endlink for the list of 
+  * built-in and external ordering methods. 
+  *
+  * Simple example with key steps 
+  * \code
+  * VectorXd x(n), b(n);
+  * SparseMatrix<double> A;
+  * SparseLU<SparseMatrix<double>, COLAMDOrdering<int> >   solver;
+  * // fill A and b;
+  * // Compute the ordering permutation vector from the structural pattern of A
+  * solver.analyzePattern(A); 
+  * // Compute the numerical factorization 
+  * solver.factorize(A); 
+  * //Use the factors to solve the linear system 
+  * x = solver.solve(b); 
+  * \endcode
+  * 
+  * \warning The input matrix A should be in a \b compressed and \b column-major form.
+  * Otherwise an expensive copy will be made. You can call the inexpensive makeCompressed() to get a compressed matrix.
+  * 
+  * \note Unlike the initial SuperLU implementation, there is no step to equilibrate the matrix. 
+  * For badly scaled matrices, this step can be useful to reduce the pivoting during factorization. 
+  * If this is the case for your matrices, you can try the basic scaling method at
+  *  "unsupported/Eigen/src/IterativeSolvers/Scaling.h"
+  * 
+  * \tparam _MatrixType The type of the sparse matrix. It must be a column-major SparseMatrix<>
+  * \tparam _OrderingType The ordering method to use, either AMD, COLAMD or METIS. Default is COLMAD
+  *
+  * \implsparsesolverconcept
+  * 
+  * \sa \ref TutorialSparseSolverConcept
+  * \sa \ref OrderingMethods_Module
+  */
+template <typename _MatrixType, typename _OrderingType>
+class SparseLU : public SparseSolverBase<SparseLU<_MatrixType,_OrderingType> >, public internal::SparseLUImpl<typename _MatrixType::Scalar, typename _MatrixType::StorageIndex>
+{
+  protected:
+    typedef SparseSolverBase<SparseLU<_MatrixType,_OrderingType> > APIBase;
+    using APIBase::m_isInitialized;
+  public:
+    using APIBase::_solve_impl;
+    
+    typedef _MatrixType MatrixType; 
+    typedef _OrderingType OrderingType;
+    typedef typename MatrixType::Scalar Scalar; 
+    typedef typename MatrixType::RealScalar RealScalar; 
+    typedef typename MatrixType::StorageIndex StorageIndex;
+    typedef SparseMatrix<Scalar,ColMajor,StorageIndex> NCMatrix;
+    typedef internal::MappedSuperNodalMatrix<Scalar, StorageIndex> SCMatrix;
+    typedef Matrix<Scalar,Dynamic,1> ScalarVector;
+    typedef Matrix<StorageIndex,Dynamic,1> IndexVector;
+    typedef PermutationMatrix<Dynamic, Dynamic, StorageIndex> PermutationType;
+    typedef internal::SparseLUImpl<Scalar, StorageIndex> Base;
+
+    enum {
+      ColsAtCompileTime = MatrixType::ColsAtCompileTime,
+      MaxColsAtCompileTime = MatrixType::MaxColsAtCompileTime
+    };
+    
+  public:
+    SparseLU():m_lastError(""),m_Ustore(0,0,0,0,0,0),m_symmetricmode(false),m_diagpivotthresh(1.0),m_detPermR(1)
+    {
+      initperfvalues(); 
+    }
+    explicit SparseLU(const MatrixType& matrix)
+      : m_lastError(""),m_Ustore(0,0,0,0,0,0),m_symmetricmode(false),m_diagpivotthresh(1.0),m_detPermR(1)
+    {
+      initperfvalues(); 
+      compute(matrix);
+    }
+    
+    ~SparseLU()
+    {
+      // Free all explicit dynamic pointers 
+    }
+    
+    void analyzePattern (const MatrixType& matrix);
+    void factorize (const MatrixType& matrix);
+    void simplicialfactorize(const MatrixType& matrix);
+    
+    /**
+      * Compute the symbolic and numeric factorization of the input sparse matrix.
+      * The input matrix should be in column-major storage. 
+      */
+    void compute (const MatrixType& matrix)
+    {
+      // Analyze 
+      analyzePattern(matrix); 
+      //Factorize
+      factorize(matrix);
+    } 
+    
+    inline Index rows() const { return m_mat.rows(); }
+    inline Index cols() const { return m_mat.cols(); }
+    /** Indicate that the pattern of the input matrix is symmetric */
+    void isSymmetric(bool sym)
+    {
+      m_symmetricmode = sym;
+    }
+    
+    /** \returns an expression of the matrix L, internally stored as supernodes
+      * The only operation available with this expression is the triangular solve
+      * \code
+      * y = b; matrixL().solveInPlace(y);
+      * \endcode
+      */
+    SparseLUMatrixLReturnType<SCMatrix> matrixL() const
+    {
+      return SparseLUMatrixLReturnType<SCMatrix>(m_Lstore);
+    }
+    /** \returns an expression of the matrix U,
+      * The only operation available with this expression is the triangular solve
+      * \code
+      * y = b; matrixU().solveInPlace(y);
+      * \endcode
+      */
+    SparseLUMatrixUReturnType<SCMatrix,MappedSparseMatrix<Scalar,ColMajor,StorageIndex> > matrixU() const
+    {
+      return SparseLUMatrixUReturnType<SCMatrix, MappedSparseMatrix<Scalar,ColMajor,StorageIndex> >(m_Lstore, m_Ustore);
+    }
+
+    /**
+      * \returns a reference to the row matrix permutation \f$ P_r \f$ such that \f$P_r A P_c^T = L U\f$
+      * \sa colsPermutation()
+      */
+    inline const PermutationType& rowsPermutation() const
+    {
+      return m_perm_r;
+    }
+    /**
+      * \returns a reference to the column matrix permutation\f$ P_c^T \f$ such that \f$P_r A P_c^T = L U\f$
+      * \sa rowsPermutation()
+      */
+    inline const PermutationType& colsPermutation() const
+    {
+      return m_perm_c;
+    }
+    /** Set the threshold used for a diagonal entry to be an acceptable pivot. */
+    void setPivotThreshold(const RealScalar& thresh)
+    {
+      m_diagpivotthresh = thresh; 
+    }
+
+#ifdef EIGEN_PARSED_BY_DOXYGEN
+    /** \returns the solution X of \f$ A X = B \f$ using the current decomposition of A.
+      *
+      * \warning the destination matrix X in X = this->solve(B) must be colmun-major.
+      *
+      * \sa compute()
+      */
+    template<typename Rhs>
+    inline const Solve<SparseLU, Rhs> solve(const MatrixBase<Rhs>& B) const;
+#endif // EIGEN_PARSED_BY_DOXYGEN
+    
+    /** \brief Reports whether previous computation was successful.
+      *
+      * \returns \c Success if computation was succesful,
+      *          \c NumericalIssue if the LU factorization reports a problem, zero diagonal for instance
+      *          \c InvalidInput if the input matrix is invalid
+      *
+      * \sa iparm()          
+      */
+    ComputationInfo info() const
+    {
+      eigen_assert(m_isInitialized && "Decomposition is not initialized.");
+      return m_info;
+    }
+    
+    /**
+      * \returns A string describing the type of error
+      */
+    std::string lastErrorMessage() const
+    {
+      return m_lastError; 
+    }
+
+    template<typename Rhs, typename Dest>
+    bool _solve_impl(const MatrixBase<Rhs> &B, MatrixBase<Dest> &X_base) const
+    {
+      Dest& X(X_base.derived());
+      eigen_assert(m_factorizationIsOk && "The matrix should be factorized first");
+      EIGEN_STATIC_ASSERT((Dest::Flags&RowMajorBit)==0,
+                        THIS_METHOD_IS_ONLY_FOR_COLUMN_MAJOR_MATRICES);
+      
+      // Permute the right hand side to form X = Pr*B
+      // on return, X is overwritten by the computed solution
+      X.resize(B.rows(),B.cols());
+
+      // this ugly const_cast_derived() helps to detect aliasing when applying the permutations
+      for(Index j = 0; j < B.cols(); ++j)
+        X.col(j) = rowsPermutation() * B.const_cast_derived().col(j);
+      
+      //Forward substitution with L
+      this->matrixL().solveInPlace(X);
+      this->matrixU().solveInPlace(X);
+      
+      // Permute back the solution 
+      for (Index j = 0; j < B.cols(); ++j)
+        X.col(j) = colsPermutation().inverse() * X.col(j);
+      
+      return true; 
+    }
+    
+    /**
+      * \returns the absolute value of the determinant of the matrix of which
+      * *this is the QR decomposition.
+      *
+      * \warning a determinant can be very big or small, so for matrices
+      * of large enough dimension, there is a risk of overflow/underflow.
+      * One way to work around that is to use logAbsDeterminant() instead.
+      *
+      * \sa logAbsDeterminant(), signDeterminant()
+      */
+    Scalar absDeterminant()
+    {
+      using std::abs;
+      eigen_assert(m_factorizationIsOk && "The matrix should be factorized first.");
+      // Initialize with the determinant of the row matrix
+      Scalar det = Scalar(1.);
+      // Note that the diagonal blocks of U are stored in supernodes,
+      // which are available in the  L part :)
+      for (Index j = 0; j < this->cols(); ++j)
+      {
+        for (typename SCMatrix::InnerIterator it(m_Lstore, j); it; ++it)
+        {
+          if(it.index() == j)
+          {
+            det *= abs(it.value());
+            break;
+          }
+        }
+      }
+      return det;
+    }
+
+    /** \returns the natural log of the absolute value of the determinant of the matrix
+      * of which **this is the QR decomposition
+      *
+      * \note This method is useful to work around the risk of overflow/underflow that's
+      * inherent to the determinant computation.
+      *
+      * \sa absDeterminant(), signDeterminant()
+      */
+    Scalar logAbsDeterminant() const
+    {
+      using std::log;
+      using std::abs;
+
+      eigen_assert(m_factorizationIsOk && "The matrix should be factorized first.");
+      Scalar det = Scalar(0.);
+      for (Index j = 0; j < this->cols(); ++j)
+      {
+        for (typename SCMatrix::InnerIterator it(m_Lstore, j); it; ++it)
+        {
+          if(it.row() < j) continue;
+          if(it.row() == j)
+          {
+            det += log(abs(it.value()));
+            break;
+          }
+        }
+      }
+      return det;
+    }
+
+    /** \returns A number representing the sign of the determinant
+      *
+      * \sa absDeterminant(), logAbsDeterminant()
+      */
+    Scalar signDeterminant()
+    {
+      eigen_assert(m_factorizationIsOk && "The matrix should be factorized first.");
+      // Initialize with the determinant of the row matrix
+      Index det = 1;
+      // Note that the diagonal blocks of U are stored in supernodes,
+      // which are available in the  L part :)
+      for (Index j = 0; j < this->cols(); ++j)
+      {
+        for (typename SCMatrix::InnerIterator it(m_Lstore, j); it; ++it)
+        {
+          if(it.index() == j)
+          {
+            if(it.value()<0)
+              det = -det;
+            else if(it.value()==0)
+              return 0;
+            break;
+          }
+        }
+      }
+      return det * m_detPermR * m_detPermC;
+    }
+    
+    /** \returns The determinant of the matrix.
+      *
+      * \sa absDeterminant(), logAbsDeterminant()
+      */
+    Scalar determinant()
+    {
+      eigen_assert(m_factorizationIsOk && "The matrix should be factorized first.");
+      // Initialize with the determinant of the row matrix
+      Scalar det = Scalar(1.);
+      // Note that the diagonal blocks of U are stored in supernodes,
+      // which are available in the  L part :)
+      for (Index j = 0; j < this->cols(); ++j)
+      {
+        for (typename SCMatrix::InnerIterator it(m_Lstore, j); it; ++it)
+        {
+          if(it.index() == j)
+          {
+            det *= it.value();
+            break;
+          }
+        }
+      }
+      return (m_detPermR * m_detPermC) > 0 ? det : -det;
+    }
+
+  protected:
+    // Functions 
+    void initperfvalues()
+    {
+      m_perfv.panel_size = 16;
+      m_perfv.relax = 1; 
+      m_perfv.maxsuper = 128; 
+      m_perfv.rowblk = 16; 
+      m_perfv.colblk = 8; 
+      m_perfv.fillfactor = 20;  
+    }
+      
+    // Variables 
+    mutable ComputationInfo m_info;
+    bool m_factorizationIsOk;
+    bool m_analysisIsOk;
+    std::string m_lastError;
+    NCMatrix m_mat; // The input (permuted ) matrix 
+    SCMatrix m_Lstore; // The lower triangular matrix (supernodal)
+    MappedSparseMatrix<Scalar,ColMajor,StorageIndex> m_Ustore; // The upper triangular matrix
+    PermutationType m_perm_c; // Column permutation 
+    PermutationType m_perm_r ; // Row permutation
+    IndexVector m_etree; // Column elimination tree 
+    
+    typename Base::GlobalLU_t m_glu; 
+                               
+    // SparseLU options 
+    bool m_symmetricmode;
+    // values for performance 
+    internal::perfvalues m_perfv;
+    RealScalar m_diagpivotthresh; // Specifies the threshold used for a diagonal entry to be an acceptable pivot
+    Index m_nnzL, m_nnzU; // Nonzeros in L and U factors
+    Index m_detPermR, m_detPermC; // Determinants of the permutation matrices
+  private:
+    // Disable copy constructor 
+    SparseLU (const SparseLU& );
+  
+}; // End class SparseLU
+
+
+
+// Functions needed by the anaysis phase
+/** 
+  * Compute the column permutation to minimize the fill-in
+  * 
+  *  - Apply this permutation to the input matrix - 
+  * 
+  *  - Compute the column elimination tree on the permuted matrix 
+  * 
+  *  - Postorder the elimination tree and the column permutation
+  * 
+  */
+template <typename MatrixType, typename OrderingType>
+void SparseLU<MatrixType, OrderingType>::analyzePattern(const MatrixType& mat)
+{
+  
+  //TODO  It is possible as in SuperLU to compute row and columns scaling vectors to equilibrate the matrix mat.
+  
+  // Firstly, copy the whole input matrix. 
+  m_mat = mat;
+  
+  // Compute fill-in ordering
+  OrderingType ord; 
+  ord(m_mat,m_perm_c);
+  
+  // Apply the permutation to the column of the input  matrix
+  if (m_perm_c.size())
+  {
+    m_mat.uncompress(); //NOTE: The effect of this command is only to create the InnerNonzeros pointers. FIXME : This vector is filled but not subsequently used.  
+    // Then, permute only the column pointers
+    ei_declare_aligned_stack_constructed_variable(StorageIndex,outerIndexPtr,mat.cols()+1,mat.isCompressed()?const_cast<StorageIndex*>(mat.outerIndexPtr()):0);
+    
+    // If the input matrix 'mat' is uncompressed, then the outer-indices do not match the ones of m_mat, and a copy is thus needed.
+    if(!mat.isCompressed()) 
+      IndexVector::Map(outerIndexPtr, mat.cols()+1) = IndexVector::Map(m_mat.outerIndexPtr(),mat.cols()+1);
+    
+    // Apply the permutation and compute the nnz per column.
+    for (Index i = 0; i < mat.cols(); i++)
+    {
+      m_mat.outerIndexPtr()[m_perm_c.indices()(i)] = outerIndexPtr[i];
+      m_mat.innerNonZeroPtr()[m_perm_c.indices()(i)] = outerIndexPtr[i+1] - outerIndexPtr[i];
+    }
+  }
+  
+  // Compute the column elimination tree of the permuted matrix 
+  IndexVector firstRowElt;
+  internal::coletree(m_mat, m_etree,firstRowElt); 
+     
+  // In symmetric mode, do not do postorder here
+  if (!m_symmetricmode) {
+    IndexVector post, iwork; 
+    // Post order etree
+    internal::treePostorder(StorageIndex(m_mat.cols()), m_etree, post); 
+      
+   
+    // Renumber etree in postorder 
+    Index m = m_mat.cols(); 
+    iwork.resize(m+1);
+    for (Index i = 0; i < m; ++i) iwork(post(i)) = post(m_etree(i));
+    m_etree = iwork;
+    
+    // Postmultiply A*Pc by post, i.e reorder the matrix according to the postorder of the etree
+    PermutationType post_perm(m); 
+    for (Index i = 0; i < m; i++) 
+      post_perm.indices()(i) = post(i); 
+        
+    // Combine the two permutations : postorder the permutation for future use
+    if(m_perm_c.size()) {
+      m_perm_c = post_perm * m_perm_c;
+    }
+    
+  } // end postordering 
+  
+  m_analysisIsOk = true; 
+}
+
+// Functions needed by the numerical factorization phase
+
+
+/** 
+  *  - Numerical factorization 
+  *  - Interleaved with the symbolic factorization 
+  * On exit,  info is 
+  * 
+  *    = 0: successful factorization
+  * 
+  *    > 0: if info = i, and i is
+  * 
+  *       <= A->ncol: U(i,i) is exactly zero. The factorization has
+  *          been completed, but the factor U is exactly singular,
+  *          and division by zero will occur if it is used to solve a
+  *          system of equations.
+  * 
+  *       > A->ncol: number of bytes allocated when memory allocation
+  *         failure occurred, plus A->ncol. If lwork = -1, it is
+  *         the estimated amount of space needed, plus A->ncol.  
+  */
+template <typename MatrixType, typename OrderingType>
+void SparseLU<MatrixType, OrderingType>::factorize(const MatrixType& matrix)
+{
+  using internal::emptyIdxLU;
+  eigen_assert(m_analysisIsOk && "analyzePattern() should be called first"); 
+  eigen_assert((matrix.rows() == matrix.cols()) && "Only for squared matrices");
+  
+  m_isInitialized = true;
+  
+  
+  // Apply the column permutation computed in analyzepattern()
+  //   m_mat = matrix * m_perm_c.inverse(); 
+  m_mat = matrix;
+  if (m_perm_c.size()) 
+  {
+    m_mat.uncompress(); //NOTE: The effect of this command is only to create the InnerNonzeros pointers.
+    //Then, permute only the column pointers
+    const StorageIndex * outerIndexPtr;
+    if (matrix.isCompressed()) outerIndexPtr = matrix.outerIndexPtr();
+    else
+    {
+      StorageIndex* outerIndexPtr_t = new StorageIndex[matrix.cols()+1];
+      for(Index i = 0; i <= matrix.cols(); i++) outerIndexPtr_t[i] = m_mat.outerIndexPtr()[i];
+      outerIndexPtr = outerIndexPtr_t;
+    }
+    for (Index i = 0; i < matrix.cols(); i++)
+    {
+      m_mat.outerIndexPtr()[m_perm_c.indices()(i)] = outerIndexPtr[i];
+      m_mat.innerNonZeroPtr()[m_perm_c.indices()(i)] = outerIndexPtr[i+1] - outerIndexPtr[i];
+    }
+    if(!matrix.isCompressed()) delete[] outerIndexPtr;
+  } 
+  else 
+  { //FIXME This should not be needed if the empty permutation is handled transparently
+    m_perm_c.resize(matrix.cols());
+    for(StorageIndex i = 0; i < matrix.cols(); ++i) m_perm_c.indices()(i) = i;
+  }
+  
+  Index m = m_mat.rows();
+  Index n = m_mat.cols();
+  Index nnz = m_mat.nonZeros();
+  Index maxpanel = m_perfv.panel_size * m;
+  // Allocate working storage common to the factor routines
+  Index lwork = 0;
+  Index info = Base::memInit(m, n, nnz, lwork, m_perfv.fillfactor, m_perfv.panel_size, m_glu); 
+  if (info) 
+  {
+    m_lastError = "UNABLE TO ALLOCATE WORKING MEMORY\n\n" ;
+    m_factorizationIsOk = false;
+    return ; 
+  }
+  
+  // Set up pointers for integer working arrays 
+  IndexVector segrep(m); segrep.setZero();
+  IndexVector parent(m); parent.setZero();
+  IndexVector xplore(m); xplore.setZero();
+  IndexVector repfnz(maxpanel);
+  IndexVector panel_lsub(maxpanel);
+  IndexVector xprune(n); xprune.setZero();
+  IndexVector marker(m*internal::LUNoMarker); marker.setZero();
+  
+  repfnz.setConstant(-1); 
+  panel_lsub.setConstant(-1);
+  
+  // Set up pointers for scalar working arrays 
+  ScalarVector dense; 
+  dense.setZero(maxpanel);
+  ScalarVector tempv; 
+  tempv.setZero(internal::LUnumTempV(m, m_perfv.panel_size, m_perfv.maxsuper, /*m_perfv.rowblk*/m) );
+  
+  // Compute the inverse of perm_c
+  PermutationType iperm_c(m_perm_c.inverse()); 
+  
+  // Identify initial relaxed snodes
+  IndexVector relax_end(n);
+  if ( m_symmetricmode == true ) 
+    Base::heap_relax_snode(n, m_etree, m_perfv.relax, marker, relax_end);
+  else
+    Base::relax_snode(n, m_etree, m_perfv.relax, marker, relax_end);
+  
+  
+  m_perm_r.resize(m); 
+  m_perm_r.indices().setConstant(-1);
+  marker.setConstant(-1);
+  m_detPermR = 1; // Record the determinant of the row permutation
+  
+  m_glu.supno(0) = emptyIdxLU; m_glu.xsup.setConstant(0);
+  m_glu.xsup(0) = m_glu.xlsub(0) = m_glu.xusub(0) = m_glu.xlusup(0) = Index(0);
+  
+  // Work on one 'panel' at a time. A panel is one of the following :
+  //  (a) a relaxed supernode at the bottom of the etree, or
+  //  (b) panel_size contiguous columns, <panel_size> defined by the user
+  Index jcol; 
+  IndexVector panel_histo(n);
+  Index pivrow; // Pivotal row number in the original row matrix
+  Index nseg1; // Number of segments in U-column above panel row jcol
+  Index nseg; // Number of segments in each U-column 
+  Index irep; 
+  Index i, k, jj; 
+  for (jcol = 0; jcol < n; )
+  {
+    // Adjust panel size so that a panel won't overlap with the next relaxed snode. 
+    Index panel_size = m_perfv.panel_size; // upper bound on panel width
+    for (k = jcol + 1; k < (std::min)(jcol+panel_size, n); k++)
+    {
+      if (relax_end(k) != emptyIdxLU) 
+      {
+        panel_size = k - jcol; 
+        break; 
+      }
+    }
+    if (k == n) 
+      panel_size = n - jcol; 
+      
+    // Symbolic outer factorization on a panel of columns 
+    Base::panel_dfs(m, panel_size, jcol, m_mat, m_perm_r.indices(), nseg1, dense, panel_lsub, segrep, repfnz, xprune, marker, parent, xplore, m_glu); 
+    
+    // Numeric sup-panel updates in topological order 
+    Base::panel_bmod(m, panel_size, jcol, nseg1, dense, tempv, segrep, repfnz, m_glu); 
+    
+    // Sparse LU within the panel, and below the panel diagonal 
+    for ( jj = jcol; jj< jcol + panel_size; jj++) 
+    {
+      k = (jj - jcol) * m; // Column index for w-wide arrays 
+      
+      nseg = nseg1; // begin after all the panel segments
+      //Depth-first-search for the current column
+      VectorBlock<IndexVector> panel_lsubk(panel_lsub, k, m);
+      VectorBlock<IndexVector> repfnz_k(repfnz, k, m); 
+      info = Base::column_dfs(m, jj, m_perm_r.indices(), m_perfv.maxsuper, nseg, panel_lsubk, segrep, repfnz_k, xprune, marker, parent, xplore, m_glu); 
+      if ( info ) 
+      {
+        m_lastError =  "UNABLE TO EXPAND MEMORY IN COLUMN_DFS() ";
+        m_info = NumericalIssue; 
+        m_factorizationIsOk = false; 
+        return; 
+      }
+      // Numeric updates to this column 
+      VectorBlock<ScalarVector> dense_k(dense, k, m); 
+      VectorBlock<IndexVector> segrep_k(segrep, nseg1, m-nseg1); 
+      info = Base::column_bmod(jj, (nseg - nseg1), dense_k, tempv, segrep_k, repfnz_k, jcol, m_glu); 
+      if ( info ) 
+      {
+        m_lastError = "UNABLE TO EXPAND MEMORY IN COLUMN_BMOD() ";
+        m_info = NumericalIssue; 
+        m_factorizationIsOk = false; 
+        return; 
+      }
+      
+      // Copy the U-segments to ucol(*)
+      info = Base::copy_to_ucol(jj, nseg, segrep, repfnz_k ,m_perm_r.indices(), dense_k, m_glu); 
+      if ( info ) 
+      {
+        m_lastError = "UNABLE TO EXPAND MEMORY IN COPY_TO_UCOL() ";
+        m_info = NumericalIssue; 
+        m_factorizationIsOk = false; 
+        return; 
+      }
+      
+      // Form the L-segment 
+      info = Base::pivotL(jj, m_diagpivotthresh, m_perm_r.indices(), iperm_c.indices(), pivrow, m_glu);
+      if ( info ) 
+      {
+        m_lastError = "THE MATRIX IS STRUCTURALLY SINGULAR ... ZERO COLUMN AT ";
+        std::ostringstream returnInfo;
+        returnInfo << info; 
+        m_lastError += returnInfo.str();
+        m_info = NumericalIssue; 
+        m_factorizationIsOk = false; 
+        return; 
+      }
+      
+      // Update the determinant of the row permutation matrix
+      // FIXME: the following test is not correct, we should probably take iperm_c into account and pivrow is not directly the row pivot.
+      if (pivrow != jj) m_detPermR = -m_detPermR;
+
+      // Prune columns (0:jj-1) using column jj
+      Base::pruneL(jj, m_perm_r.indices(), pivrow, nseg, segrep, repfnz_k, xprune, m_glu); 
+      
+      // Reset repfnz for this column 
+      for (i = 0; i < nseg; i++)
+      {
+        irep = segrep(i); 
+        repfnz_k(irep) = emptyIdxLU; 
+      }
+    } // end SparseLU within the panel  
+    jcol += panel_size;  // Move to the next panel
+  } // end for -- end elimination 
+  
+  m_detPermR = m_perm_r.determinant();
+  m_detPermC = m_perm_c.determinant();
+  
+  // Count the number of nonzeros in factors 
+  Base::countnz(n, m_nnzL, m_nnzU, m_glu); 
+  // Apply permutation  to the L subscripts 
+  Base::fixupL(n, m_perm_r.indices(), m_glu);
+  
+  // Create supernode matrix L 
+  m_Lstore.setInfos(m, n, m_glu.lusup, m_glu.xlusup, m_glu.lsub, m_glu.xlsub, m_glu.supno, m_glu.xsup); 
+  // Create the column major upper sparse matrix  U; 
+  new (&m_Ustore) MappedSparseMatrix<Scalar, ColMajor, StorageIndex> ( m, n, m_nnzU, m_glu.xusub.data(), m_glu.usub.data(), m_glu.ucol.data() );
+  
+  m_info = Success;
+  m_factorizationIsOk = true;
+}
+
+template<typename MappedSupernodalType>
+struct SparseLUMatrixLReturnType : internal::no_assignment_operator
+{
+  typedef typename MappedSupernodalType::Scalar Scalar;
+  explicit SparseLUMatrixLReturnType(const MappedSupernodalType& mapL) : m_mapL(mapL)
+  { }
+  Index rows() { return m_mapL.rows(); }
+  Index cols() { return m_mapL.cols(); }
+  template<typename Dest>
+  void solveInPlace( MatrixBase<Dest> &X) const
+  {
+    m_mapL.solveInPlace(X);
+  }
+  const MappedSupernodalType& m_mapL;
+};
+
+template<typename MatrixLType, typename MatrixUType>
+struct SparseLUMatrixUReturnType : internal::no_assignment_operator
+{
+  typedef typename MatrixLType::Scalar Scalar;
+  SparseLUMatrixUReturnType(const MatrixLType& mapL, const MatrixUType& mapU)
+  : m_mapL(mapL),m_mapU(mapU)
+  { }
+  Index rows() { return m_mapL.rows(); }
+  Index cols() { return m_mapL.cols(); }
+
+  template<typename Dest>   void solveInPlace(MatrixBase<Dest> &X) const
+  {
+    Index nrhs = X.cols();
+    Index n    = X.rows();
+    // Backward solve with U
+    for (Index k = m_mapL.nsuper(); k >= 0; k--)
+    {
+      Index fsupc = m_mapL.supToCol()[k];
+      Index lda = m_mapL.colIndexPtr()[fsupc+1] - m_mapL.colIndexPtr()[fsupc]; // leading dimension
+      Index nsupc = m_mapL.supToCol()[k+1] - fsupc;
+      Index luptr = m_mapL.colIndexPtr()[fsupc];
+
+      if (nsupc == 1)
+      {
+        for (Index j = 0; j < nrhs; j++)
+        {
+          X(fsupc, j) /= m_mapL.valuePtr()[luptr];
+        }
+      }
+      else
+      {
+        Map<const Matrix<Scalar,Dynamic,Dynamic, ColMajor>, 0, OuterStride<> > A( &(m_mapL.valuePtr()[luptr]), nsupc, nsupc, OuterStride<>(lda) );
+        Map< Matrix<Scalar,Dynamic,Dest::ColsAtCompileTime, ColMajor>, 0, OuterStride<> > U (&(X(fsupc,0)), nsupc, nrhs, OuterStride<>(n) );
+        U = A.template triangularView<Upper>().solve(U);
+      }
+
+      for (Index j = 0; j < nrhs; ++j)
+      {
+        for (Index jcol = fsupc; jcol < fsupc + nsupc; jcol++)
+        {
+          typename MatrixUType::InnerIterator it(m_mapU, jcol);
+          for ( ; it; ++it)
+          {
+            Index irow = it.index();
+            X(irow, j) -= X(jcol, j) * it.value();
+          }
+        }
+      }
+    } // End For U-solve
+  }
+  const MatrixLType& m_mapL;
+  const MatrixUType& m_mapU;
+};
+
+} // End namespace Eigen 
+
+#endif
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_kernel_bmod.h	(revision 3761)
@@ -0,0 +1,130 @@
+// This file is part of Eigen, a lightweight C++ template library
+// for linear algebra.
+//
+// Copyright (C) 2012 DÃ©sirÃ© Nuentsa-Wakam <desire.nuentsa_wakam@inria.fr>
+// Copyright (C) 2012 Gael Guennebaud <gael.guennebaud@inria.fr>
+//
+// This Source Code Form is subject to the terms of the Mozilla
+// Public License v. 2.0. If a copy of the MPL was not distributed
+// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
+
+#ifndef SPARSELU_KERNEL_BMOD_H
+#define SPARSELU_KERNEL_BMOD_H
+
+namespace Eigen {
+namespace internal {
+  
+template <int SegSizeAtCompileTime> struct LU_kernel_bmod
+{
+  /** \internal
+    * \brief Performs numeric block updates from a given supernode to a single column
+    *
+    * \param segsize Size of the segment (and blocks ) to use for updates
+    * \param[in,out] dense Packed values of the original matrix
+    * \param tempv temporary vector to use for updates
+    * \param lusup array containing the supernodes
+    * \param lda Leading dimension in the supernode
+    * \param nrow Number of rows in the rectangular part of the supernode
+    * \param lsub compressed row subscripts of supernodes
+    * \param lptr pointer to the first column of the current supernode in lsub
+    * \param no_zeros Number of nonzeros elements before the diagonal part of the supernode
+    */
+  template <typename BlockScalarVector, typename ScalarVector, typename IndexVector>
+  static EIGEN_DONT_INLINE void run(const Index segsize, BlockScalarVector& dense, ScalarVector& tempv, ScalarVector& lusup, Index& luptr, const Index lda,
+                                    const Index nrow, IndexVector& lsub, const Index lptr, const Index no_zeros);
+};
+
+template <int SegSizeAtCompileTime>
+template <typename BlockScalarVector, typename ScalarVector, typename IndexVector>
+EIGEN_DONT_INLINE void LU_kernel_bmod<SegSizeAtCompileTime>::run(const Index segsize, BlockScalarVector& dense, ScalarVector& tempv, ScalarVector& lusup, Index& luptr, const Index lda,
+                                                                  const Index nrow, IndexVector& lsub, const Index lptr, const Index no_zeros)
+{
+  typedef typename ScalarVector::Scalar Scalar;
+  // First, copy U[*,j] segment from dense(*) to tempv(*)
+  // The result of triangular solve is in tempv[*]; 
+    // The result of matric-vector update is in dense[*]
+  Index isub = lptr + no_zeros; 
+  Index i;
+  Index irow;
+  for (i = 0; i < ((SegSizeAtCompileTime==Dynamic)?segsize:SegSizeAtCompileTime); i++)
+  {
+    irow = lsub(isub); 
+    tempv(i) = dense(irow); 
+    ++isub; 
+  }
+  // Dense triangular solve -- start effective triangle
+  luptr += lda * no_zeros + no_zeros; 
+  // Form Eigen matrix and vector 
+  Map<Matrix<Scalar,SegSizeAtCompileTime,SegSizeAtCompileTime, ColMajor>, 0, OuterStride<> > A( &(lusup.data()[luptr]), segsize, segsize, OuterStride<>(lda) );
+  Map<Matrix<Scalar,SegSizeAtCompileTime,1> > u(tempv.data(), segsize);
+  
+  u = A.template triangularView<UnitLower>().solve(u); 
+  
+  // Dense matrix-vector product y <-- B*x 
+  luptr += segsize;
+  const Index PacketSize = internal::packet_traits<Scalar>::size;
+  Index ldl = internal::first_multiple(nrow, PacketSize);
+  Map<Matrix<Scalar,Dynamic,SegSizeAtCompileTime, ColMajor>, 0, OuterStride<> > B( &(lusup.data()[luptr]), nrow, segsize, OuterStride<>(lda) );
+  Index aligned_offset = internal::first_default_aligned(tempv.data()+segsize, PacketSize);
+  Index aligned_with_B_offset = (PacketSize-internal::first_default_aligned(B.data(), PacketSize))%PacketSize;
+  Map<Matrix<Scalar,Dynamic,1>, 0, OuterStride<> > l(tempv.data()+segsize+aligned_offset+aligned_with_B_offset, nrow, OuterStride<>(ldl) );
+  
+  l.setZero();
+  internal::sparselu_gemm<Scalar>(l.rows(), l.cols(), B.cols(), B.data(), B.outerStride(), u.data(), u.outerStride(), l.data(), l.outerStride());
+  
+  // Scatter tempv[] into SPA dense[] as a temporary storage 
+  isub = lptr + no_zeros;
+  for (i = 0; i < ((SegSizeAtCompileTime==Dynamic)?segsize:SegSizeAtCompileTime); i++)
+  {
+    irow = lsub(isub++); 
+    dense(irow) = tempv(i);
+  }
+  
+  // Scatter l into SPA dense[]
+  for (i = 0; i < nrow; i++)
+  {
+    irow = lsub(isub++); 
+    dense(irow) -= l(i);
+  } 
+}
+
+template <> struct LU_kernel_bmod<1>
+{
+  template <typename BlockScalarVector, typename ScalarVector, typename IndexVector>
+  static EIGEN_DONT_INLINE void run(const Index /*segsize*/, BlockScalarVector& dense, ScalarVector& /*tempv*/, ScalarVector& lusup, Index& luptr,
+                                    const Index lda, const Index nrow, IndexVector& lsub, const Index lptr, const Index no_zeros);
+};
+
+
+template <typename BlockScalarVector, typename ScalarVector, typename IndexVector>
+EIGEN_DONT_INLINE void LU_kernel_bmod<1>::run(const Index /*segsize*/, BlockScalarVector& dense, ScalarVector& /*tempv*/, ScalarVector& lusup, Index& luptr,
+                                              const Index lda, const Index nrow, IndexVector& lsub, const Index lptr, const Index no_zeros)
+{
+  typedef typename ScalarVector::Scalar Scalar;
+  typedef typename IndexVector::Scalar StorageIndex;
+  Scalar f = dense(lsub(lptr + no_zeros));
+  luptr += lda * no_zeros + no_zeros + 1;
+  const Scalar* a(lusup.data() + luptr);
+  const StorageIndex*  irow(lsub.data()+lptr + no_zeros + 1);
+  Index i = 0;
+  for (; i+1 < nrow; i+=2)
+  {
+    Index i0 = *(irow++);
+    Index i1 = *(irow++);
+    Scalar a0 = *(a++);
+    Scalar a1 = *(a++);
+    Scalar d0 = dense.coeff(i0);
+    Scalar d1 = dense.coeff(i1);
+    d0 -= f*a0;
+    d1 -= f*a1;
+    dense.coeffRef(i0) = d0;
+    dense.coeffRef(i1) = d1;
+  }
+  if(i<nrow)
+    dense.coeffRef(*(irow++)) -= f * *(a++);
+}
+
+} // end namespace internal
+
+} // end namespace Eigen
+#endif // SPARSELU_KERNEL_BMOD_H
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_gemm_kernel.h
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_gemm_kernel.h	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/SparseLU/SparseLU_gemm_kernel.h	(revision 3761)
@@ -0,0 +1,280 @@
+// This file is part of Eigen, a lightweight C++ template library
+// for linear algebra.
+//
+// Copyright (C) 2012 Gael Guennebaud <gael.guennebaud@inria.fr>
+//
+// This Source Code Form is subject to the terms of the Mozilla
+// Public License v. 2.0. If a copy of the MPL was not distributed
+// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
+
+#ifndef EIGEN_SPARSELU_GEMM_KERNEL_H
+#define EIGEN_SPARSELU_GEMM_KERNEL_H
+
+namespace Eigen {
+
+namespace internal {
+
+
+/** \internal
+  * A general matrix-matrix product kernel optimized for the SparseLU factorization.
+  *  - A, B, and C must be column major
+  *  - lda and ldc must be multiples of the respective packet size
+  *  - C must have the same alignment as A
+  */
+template<typename Scalar>
+EIGEN_DONT_INLINE
+void sparselu_gemm(Index m, Index n, Index d, const Scalar* A, Index lda, const Scalar* B, Index ldb, Scalar* C, Index ldc)
+{
+  using namespace Eigen::internal;
+  
+  typedef typename packet_traits<Scalar>::type Packet;
+  enum {
+    NumberOfRegisters = EIGEN_ARCH_DEFAULT_NUMBER_OF_REGISTERS,
+    PacketSize = packet_traits<Scalar>::size,
+    PM = 8,                             // peeling in M
+    RN = 2,                             // register blocking
+    RK = NumberOfRegisters>=16 ? 4 : 2, // register blocking
+    BM = 4096/sizeof(Scalar),           // number of rows of A-C per chunk
+    SM = PM*PacketSize                  // step along M
+  };
+  Index d_end = (d/RK)*RK;    // number of columns of A (rows of B) suitable for full register blocking
+  Index n_end = (n/RN)*RN;    // number of columns of B-C suitable for processing RN columns at once
+  Index i0 = internal::first_default_aligned(A,m);
+  
+  eigen_internal_assert(((lda%PacketSize)==0) && ((ldc%PacketSize)==0) && (i0==internal::first_default_aligned(C,m)));
+  
+  // handle the non aligned rows of A and C without any optimization:
+  for(Index i=0; i<i0; ++i)
+  {
+    for(Index j=0; j<n; ++j)
+    {
+      Scalar c = C[i+j*ldc];
+      for(Index k=0; k<d; ++k)
+        c += B[k+j*ldb] * A[i+k*lda];
+      C[i+j*ldc] = c;
+    }
+  }
+  // process the remaining rows per chunk of BM rows
+  for(Index ib=i0; ib<m; ib+=BM)
+  {
+    Index actual_b = std::min<Index>(BM, m-ib);                 // actual number of rows
+    Index actual_b_end1 = (actual_b/SM)*SM;                   // actual number of rows suitable for peeling
+    Index actual_b_end2 = (actual_b/PacketSize)*PacketSize;   // actual number of rows suitable for vectorization
+    
+    // Let's process two columns of B-C at once
+    for(Index j=0; j<n_end; j+=RN)
+    {
+      const Scalar* Bc0 = B+(j+0)*ldb;
+      const Scalar* Bc1 = B+(j+1)*ldb;
+      
+      for(Index k=0; k<d_end; k+=RK)
+      {
+        
+        // load and expand a RN x RK block of B
+        Packet b00, b10, b20, b30, b01, b11, b21, b31;
+                  { b00 = pset1<Packet>(Bc0[0]); }
+                  { b10 = pset1<Packet>(Bc0[1]); }
+        if(RK==4) { b20 = pset1<Packet>(Bc0[2]); }
+        if(RK==4) { b30 = pset1<Packet>(Bc0[3]); }
+                  { b01 = pset1<Packet>(Bc1[0]); }
+                  { b11 = pset1<Packet>(Bc1[1]); }
+        if(RK==4) { b21 = pset1<Packet>(Bc1[2]); }
+        if(RK==4) { b31 = pset1<Packet>(Bc1[3]); }
+        
+        Packet a0, a1, a2, a3, c0, c1, t0, t1;
+        
+        const Scalar* A0 = A+ib+(k+0)*lda;
+        const Scalar* A1 = A+ib+(k+1)*lda;
+        const Scalar* A2 = A+ib+(k+2)*lda;
+        const Scalar* A3 = A+ib+(k+3)*lda;
+        
+        Scalar* C0 = C+ib+(j+0)*ldc;
+        Scalar* C1 = C+ib+(j+1)*ldc;
+        
+                  a0 = pload<Packet>(A0);
+                  a1 = pload<Packet>(A1);
+        if(RK==4)
+        {
+          a2 = pload<Packet>(A2);
+          a3 = pload<Packet>(A3);
+        }
+        else
+        {
+          // workaround "may be used uninitialized in this function" warning
+          a2 = a3 = a0;
+        }
+        
+#define KMADD(c, a, b, tmp) {tmp = b; tmp = pmul(a,tmp); c = padd(c,tmp);}
+#define WORK(I)  \
+                     c0 = pload<Packet>(C0+i+(I)*PacketSize);    \
+                     c1 = pload<Packet>(C1+i+(I)*PacketSize);    \
+                     KMADD(c0, a0, b00, t0)                      \
+                     KMADD(c1, a0, b01, t1)                      \
+                     a0 = pload<Packet>(A0+i+(I+1)*PacketSize);  \
+                     KMADD(c0, a1, b10, t0)                      \
+                     KMADD(c1, a1, b11, t1)                      \
+                     a1 = pload<Packet>(A1+i+(I+1)*PacketSize);  \
+          if(RK==4){ KMADD(c0, a2, b20, t0)                     }\
+          if(RK==4){ KMADD(c1, a2, b21, t1)                     }\
+          if(RK==4){ a2 = pload<Packet>(A2+i+(I+1)*PacketSize); }\
+          if(RK==4){ KMADD(c0, a3, b30, t0)                     }\
+          if(RK==4){ KMADD(c1, a3, b31, t1)                     }\
+          if(RK==4){ a3 = pload<Packet>(A3+i+(I+1)*PacketSize); }\
+                     pstore(C0+i+(I)*PacketSize, c0);            \
+                     pstore(C1+i+(I)*PacketSize, c1)
+        
+        // process rows of A' - C' with aggressive vectorization and peeling 
+        for(Index i=0; i<actual_b_end1; i+=PacketSize*8)
+        {
+          EIGEN_ASM_COMMENT("SPARSELU_GEMML_KERNEL1");
+                    prefetch((A0+i+(5)*PacketSize));
+                    prefetch((A1+i+(5)*PacketSize));
+          if(RK==4) prefetch((A2+i+(5)*PacketSize));
+          if(RK==4) prefetch((A3+i+(5)*PacketSize));
+
+          WORK(0);
+          WORK(1);
+          WORK(2);
+          WORK(3);
+          WORK(4);
+          WORK(5);
+          WORK(6);
+          WORK(7);
+        }
+        // process the remaining rows with vectorization only
+        for(Index i=actual_b_end1; i<actual_b_end2; i+=PacketSize)
+        {
+          WORK(0);
+        }
+#undef WORK
+        // process the remaining rows without vectorization
+        for(Index i=actual_b_end2; i<actual_b; ++i)
+        {
+          if(RK==4)
+          {
+            C0[i] += A0[i]*Bc0[0]+A1[i]*Bc0[1]+A2[i]*Bc0[2]+A3[i]*Bc0[3];
+            C1[i] += A0[i]*Bc1[0]+A1[i]*Bc1[1]+A2[i]*Bc1[2]+A3[i]*Bc1[3];
+          }
+          else
+          {
+            C0[i] += A0[i]*Bc0[0]+A1[i]*Bc0[1];
+            C1[i] += A0[i]*Bc1[0]+A1[i]*Bc1[1];
+          }
+        }
+        
+        Bc0 += RK;
+        Bc1 += RK;
+      } // peeled loop on k
+    } // peeled loop on the columns j
+    // process the last column (we now perform a matrix-vector product)
+    if((n-n_end)>0)
+    {
+      const Scalar* Bc0 = B+(n-1)*ldb;
+      
+      for(Index k=0; k<d_end; k+=RK)
+      {
+        
+        // load and expand a 1 x RK block of B
+        Packet b00, b10, b20, b30;
+                  b00 = pset1<Packet>(Bc0[0]);
+                  b10 = pset1<Packet>(Bc0[1]);
+        if(RK==4) b20 = pset1<Packet>(Bc0[2]);
+        if(RK==4) b30 = pset1<Packet>(Bc0[3]);
+        
+        Packet a0, a1, a2, a3, c0, t0/*, t1*/;
+        
+        const Scalar* A0 = A+ib+(k+0)*lda;
+        const Scalar* A1 = A+ib+(k+1)*lda;
+        const Scalar* A2 = A+ib+(k+2)*lda;
+        const Scalar* A3 = A+ib+(k+3)*lda;
+        
+        Scalar* C0 = C+ib+(n_end)*ldc;
+        
+                  a0 = pload<Packet>(A0);
+                  a1 = pload<Packet>(A1);
+        if(RK==4)
+        {
+          a2 = pload<Packet>(A2);
+          a3 = pload<Packet>(A3);
+        }
+        else
+        {
+          // workaround "may be used uninitialized in this function" warning
+          a2 = a3 = a0;
+        }
+        
+#define WORK(I) \
+                   c0 = pload<Packet>(C0+i+(I)*PacketSize);     \
+                   KMADD(c0, a0, b00, t0)                       \
+                   a0 = pload<Packet>(A0+i+(I+1)*PacketSize);   \
+                   KMADD(c0, a1, b10, t0)                       \
+                   a1 = pload<Packet>(A1+i+(I+1)*PacketSize);   \
+        if(RK==4){ KMADD(c0, a2, b20, t0)                      }\
+        if(RK==4){ a2 = pload<Packet>(A2+i+(I+1)*PacketSize);  }\
+        if(RK==4){ KMADD(c0, a3, b30, t0)                      }\
+        if(RK==4){ a3 = pload<Packet>(A3+i+(I+1)*PacketSize);  }\
+                   pstore(C0+i+(I)*PacketSize, c0);
+        
+        // agressive vectorization and peeling
+        for(Index i=0; i<actual_b_end1; i+=PacketSize*8)
+        {
+          EIGEN_ASM_COMMENT("SPARSELU_GEMML_KERNEL2");
+          WORK(0);
+          WORK(1);
+          WORK(2);
+          WORK(3);
+          WORK(4);
+          WORK(5);
+          WORK(6);
+          WORK(7);
+        }
+        // vectorization only
+        for(Index i=actual_b_end1; i<actual_b_end2; i+=PacketSize)
+        {
+          WORK(0);
+        }
+        // remaining scalars
+        for(Index i=actual_b_end2; i<actual_b; ++i)
+        {
+          if(RK==4) 
+            C0[i] += A0[i]*Bc0[0]+A1[i]*Bc0[1]+A2[i]*Bc0[2]+A3[i]*Bc0[3];
+          else
+            C0[i] += A0[i]*Bc0[0]+A1[i]*Bc0[1];
+        }
+        
+        Bc0 += RK;
+#undef WORK
+      }
+    }
+    
+    // process the last columns of A, corresponding to the last rows of B
+    Index rd = d-d_end;
+    if(rd>0)
+    {
+      for(Index j=0; j<n; ++j)
+      {
+        enum {
+          Alignment = PacketSize>1 ? Aligned : 0
+        };
+        typedef Map<Matrix<Scalar,Dynamic,1>, Alignment > MapVector;
+        typedef Map<const Matrix<Scalar,Dynamic,1>, Alignment > ConstMapVector;
+        if(rd==1)       MapVector(C+j*ldc+ib,actual_b) += B[0+d_end+j*ldb] * ConstMapVector(A+(d_end+0)*lda+ib, actual_b);
+        
+        else if(rd==2)  MapVector(C+j*ldc+ib,actual_b) += B[0+d_end+j*ldb] * ConstMapVector(A+(d_end+0)*lda+ib, actual_b)
+                                                        + B[1+d_end+j*ldb] * ConstMapVector(A+(d_end+1)*lda+ib, actual_b);
+        
+        else            MapVector(C+j*ldc+ib,actual_b) += B[0+d_end+j*ldb] * ConstMapVector(A+(d_end+0)*lda+ib, actual_b)
+                                                        + B[1+d_end+j*ldb] * ConstMapVector(A+(d_end+1)*lda+ib, actual_b)
+                                                        + B[2+d_end+j*ldb] * ConstMapVector(A+(d_end+2)*lda+ib, actual_b);
+      }
+    }
+  
+  } // blocking on the rows of A and C
+}
+#undef KMADD
+
+} // namespace internal
+
+} // namespace Eigen
+
+#endif // EIGEN_SPARSELU_GEMM_KERNEL_H
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/StlSupport/StdList.h
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/StlSupport/StdList.h	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/StlSupport/StdList.h	(revision 3761)
@@ -0,0 +1,106 @@
+// This file is part of Eigen, a lightweight C++ template library
+// for linear algebra.
+//
+// Copyright (C) 2009 Hauke Heibel <hauke.heibel@googlemail.com>
+//
+// This Source Code Form is subject to the terms of the Mozilla
+// Public License v. 2.0. If a copy of the MPL was not distributed
+// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
+
+#ifndef EIGEN_STDLIST_H
+#define EIGEN_STDLIST_H
+
+#include "details.h"
+
+/**
+ * This section contains a convenience MACRO which allows an easy specialization of
+ * std::list such that for data types with alignment issues the correct allocator
+ * is used automatically.
+ */
+#define EIGEN_DEFINE_STL_LIST_SPECIALIZATION(...) \
+namespace std \
+{ \
+  template<> \
+  class list<__VA_ARGS__, std::allocator<__VA_ARGS__> >           \
+    : public list<__VA_ARGS__, EIGEN_ALIGNED_ALLOCATOR<__VA_ARGS__> > \
+  { \
+    typedef list<__VA_ARGS__, EIGEN_ALIGNED_ALLOCATOR<__VA_ARGS__> > list_base; \
+  public: \
+    typedef __VA_ARGS__ value_type; \
+    typedef list_base::allocator_type allocator_type; \
+    typedef list_base::size_type size_type;  \
+    typedef list_base::iterator iterator;  \
+    explicit list(const allocator_type& a = allocator_type()) : list_base(a) {}  \
+    template<typename InputIterator> \
+    list(InputIterator first, InputIterator last, const allocator_type& a = allocator_type()) : list_base(first, last, a) {} \
+    list(const list& c) : list_base(c) {}  \
+    explicit list(size_type num, const value_type& val = value_type()) : list_base(num, val) {} \
+    list(iterator start, iterator end) : list_base(start, end) {}  \
+    list& operator=(const list& x) {  \
+      list_base::operator=(x);  \
+      return *this;  \
+    } \
+  }; \
+}
+
+// check whether we really need the std::list specialization
+#if !EIGEN_HAS_CXX11_CONTAINERS && !(defined(_GLIBCXX_LIST) && (!EIGEN_GNUC_AT_LEAST(4,1))) /* Note that before gcc-4.1 we already have: std::list::resize(size_type,const T&). */
+
+namespace std
+{
+
+#define EIGEN_STD_LIST_SPECIALIZATION_BODY \
+  public:  \
+    typedef T value_type; \
+    typedef typename list_base::allocator_type allocator_type; \
+    typedef typename list_base::size_type size_type;  \
+    typedef typename list_base::iterator iterator;  \
+    typedef typename list_base::const_iterator const_iterator;  \
+    explicit list(const allocator_type& a = allocator_type()) : list_base(a) {}  \
+    template<typename InputIterator> \
+    list(InputIterator first, InputIterator last, const allocator_type& a = allocator_type()) \
+    : list_base(first, last, a) {} \
+    list(const list& c) : list_base(c) {}  \
+    explicit list(size_type num, const value_type& val = value_type()) : list_base(num, val) {} \
+    list(iterator start, iterator end) : list_base(start, end) {}  \
+    list& operator=(const list& x) {  \
+    list_base::operator=(x);  \
+    return *this; \
+  }
+
+  template<typename T>
+  class list<T,EIGEN_ALIGNED_ALLOCATOR<T> >
+    : public list<EIGEN_WORKAROUND_MSVC_STL_SUPPORT(T),
+                  Eigen::aligned_allocator_indirection<EIGEN_WORKAROUND_MSVC_STL_SUPPORT(T)> >
+  {
+    typedef list<EIGEN_WORKAROUND_MSVC_STL_SUPPORT(T),
+                 Eigen::aligned_allocator_indirection<EIGEN_WORKAROUND_MSVC_STL_SUPPORT(T)> > list_base;
+    EIGEN_STD_LIST_SPECIALIZATION_BODY
+
+    void resize(size_type new_size)
+    { resize(new_size, T()); }
+
+    void resize(size_type new_size, const value_type& x)
+    {
+      if (list_base::size() < new_size)
+        list_base::insert(list_base::end(), new_size - list_base::size(), x);
+      else
+        while (new_size < list_base::size()) list_base::pop_back();
+    }
+
+#if defined(_LIST_)
+    // workaround MSVC std::list implementation
+    void push_back(const value_type& x)
+    { list_base::push_back(x); } 
+    using list_base::insert;  
+    iterator insert(const_iterator position, const value_type& x)
+    { return list_base::insert(position,x); }
+    void insert(const_iterator position, size_type new_size, const value_type& x)
+    { list_base::insert(position, new_size, x); }
+#endif
+  };
+}
+
+#endif // check whether specialization is actually required
+
+#endif // EIGEN_STDLIST_H
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/StlSupport/StdVector.h
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/StlSupport/StdVector.h	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/StlSupport/StdVector.h	(revision 3761)
@@ -0,0 +1,131 @@
+// This file is part of Eigen, a lightweight C++ template library
+// for linear algebra.
+//
+// Copyright (C) 2009 Gael Guennebaud <gael.guennebaud@inria.fr>
+// Copyright (C) 2009 Hauke Heibel <hauke.heibel@googlemail.com>
+//
+// This Source Code Form is subject to the terms of the Mozilla
+// Public License v. 2.0. If a copy of the MPL was not distributed
+// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
+
+#ifndef EIGEN_STDVECTOR_H
+#define EIGEN_STDVECTOR_H
+
+#include "details.h"
+
+/**
+ * This section contains a convenience MACRO which allows an easy specialization of
+ * std::vector such that for data types with alignment issues the correct allocator
+ * is used automatically.
+ */
+#define EIGEN_DEFINE_STL_VECTOR_SPECIALIZATION(...) \
+namespace std \
+{ \
+  template<> \
+  class vector<__VA_ARGS__, std::allocator<__VA_ARGS__> >  \
+    : public vector<__VA_ARGS__, EIGEN_ALIGNED_ALLOCATOR<__VA_ARGS__> > \
+  { \
+    typedef vector<__VA_ARGS__, EIGEN_ALIGNED_ALLOCATOR<__VA_ARGS__> > vector_base; \
+  public: \
+    typedef __VA_ARGS__ value_type; \
+    typedef vector_base::allocator_type allocator_type; \
+    typedef vector_base::size_type size_type;  \
+    typedef vector_base::iterator iterator;  \
+    explicit vector(const allocator_type& a = allocator_type()) : vector_base(a) {}  \
+    template<typename InputIterator> \
+    vector(InputIterator first, InputIterator last, const allocator_type& a = allocator_type()) : vector_base(first, last, a) {} \
+    vector(const vector& c) : vector_base(c) {}  \
+    explicit vector(size_type num, const value_type& val = value_type()) : vector_base(num, val) {} \
+    vector(iterator start, iterator end) : vector_base(start, end) {}  \
+    vector& operator=(const vector& x) {  \
+      vector_base::operator=(x);  \
+      return *this;  \
+    } \
+  }; \
+}
+
+// Don't specialize if containers are implemented according to C++11
+#if !EIGEN_HAS_CXX11_CONTAINERS
+
+namespace std {
+
+#define EIGEN_STD_VECTOR_SPECIALIZATION_BODY \
+  public:  \
+    typedef T value_type; \
+    typedef typename vector_base::allocator_type allocator_type; \
+    typedef typename vector_base::size_type size_type;  \
+    typedef typename vector_base::iterator iterator;  \
+    typedef typename vector_base::const_iterator const_iterator;  \
+    explicit vector(const allocator_type& a = allocator_type()) : vector_base(a) {}  \
+    template<typename InputIterator> \
+    vector(InputIterator first, InputIterator last, const allocator_type& a = allocator_type()) \
+    : vector_base(first, last, a) {} \
+    vector(const vector& c) : vector_base(c) {}  \
+    explicit vector(size_type num, const value_type& val = value_type()) : vector_base(num, val) {} \
+    vector(iterator start, iterator end) : vector_base(start, end) {}  \
+    vector& operator=(const vector& x) {  \
+      vector_base::operator=(x);  \
+      return *this;  \
+    }
+
+  template<typename T>
+  class vector<T,EIGEN_ALIGNED_ALLOCATOR<T> >
+    : public vector<EIGEN_WORKAROUND_MSVC_STL_SUPPORT(T),
+                    Eigen::aligned_allocator_indirection<EIGEN_WORKAROUND_MSVC_STL_SUPPORT(T)> >
+{
+  typedef vector<EIGEN_WORKAROUND_MSVC_STL_SUPPORT(T),
+                 Eigen::aligned_allocator_indirection<EIGEN_WORKAROUND_MSVC_STL_SUPPORT(T)> > vector_base;
+  EIGEN_STD_VECTOR_SPECIALIZATION_BODY
+
+  void resize(size_type new_size)
+  { resize(new_size, T()); }
+
+#if defined(_VECTOR_)
+  // workaround MSVC std::vector implementation
+  void resize(size_type new_size, const value_type& x)
+  {
+    if (vector_base::size() < new_size)
+      vector_base::_Insert_n(vector_base::end(), new_size - vector_base::size(), x);
+    else if (new_size < vector_base::size())
+      vector_base::erase(vector_base::begin() + new_size, vector_base::end());
+  }
+  void push_back(const value_type& x)
+  { vector_base::push_back(x); } 
+  using vector_base::insert;  
+  iterator insert(const_iterator position, const value_type& x)
+  { return vector_base::insert(position,x); }
+  void insert(const_iterator position, size_type new_size, const value_type& x)
+  { vector_base::insert(position, new_size, x); }
+#elif defined(_GLIBCXX_VECTOR) && (!(EIGEN_GNUC_AT_LEAST(4,1)))
+  /* Note that before gcc-4.1 we already have: std::vector::resize(size_type,const T&).
+   * However, this specialization is still needed to make the above EIGEN_DEFINE_STL_VECTOR_SPECIALIZATION trick to work. */
+  void resize(size_type new_size, const value_type& x)
+  {
+    vector_base::resize(new_size,x);
+  }
+#elif defined(_GLIBCXX_VECTOR) && EIGEN_GNUC_AT_LEAST(4,2)
+  // workaround GCC std::vector implementation
+  void resize(size_type new_size, const value_type& x)
+  {
+    if (new_size < vector_base::size())
+      vector_base::_M_erase_at_end(this->_M_impl._M_start + new_size);
+    else
+      vector_base::insert(vector_base::end(), new_size - vector_base::size(), x);
+  }
+#else
+  // either GCC 4.1 or non-GCC
+  // default implementation which should always work.
+  void resize(size_type new_size, const value_type& x)
+  {
+    if (new_size < vector_base::size())
+      vector_base::erase(vector_base::begin() + new_size, vector_base::end());
+    else if (new_size > vector_base::size())
+      vector_base::insert(vector_base::end(), new_size - vector_base::size(), x);
+  }
+#endif
+  };
+}
+#endif // !EIGEN_HAS_CXX11_CONTAINERS
+
+
+#endif // EIGEN_STDVECTOR_H
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/StlSupport/StdDeque.h
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/StlSupport/StdDeque.h	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/StlSupport/StdDeque.h	(revision 3761)
@@ -0,0 +1,128 @@
+// This file is part of Eigen, a lightweight C++ template library
+// for linear algebra.
+//
+// Copyright (C) 2009 Gael Guennebaud <gael.guennebaud@inria.fr>
+// Copyright (C) 2009 Hauke Heibel <hauke.heibel@googlemail.com>
+//
+// This Source Code Form is subject to the terms of the Mozilla
+// Public License v. 2.0. If a copy of the MPL was not distributed
+// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
+
+#ifndef EIGEN_STDDEQUE_H
+#define EIGEN_STDDEQUE_H
+
+#include "details.h"
+
+/**
+ * This section contains a convenience MACRO which allows an easy specialization of
+ * std::deque such that for data types with alignment issues the correct allocator
+ * is used automatically.
+ */
+#define EIGEN_DEFINE_STL_DEQUE_SPECIALIZATION(...) \
+namespace std \
+{ \
+  template<> \
+  class deque<__VA_ARGS__, std::allocator<__VA_ARGS__> >           \
+    : public deque<__VA_ARGS__, EIGEN_ALIGNED_ALLOCATOR<__VA_ARGS__> > \
+  { \
+    typedef deque<__VA_ARGS__, EIGEN_ALIGNED_ALLOCATOR<__VA_ARGS__> > deque_base; \
+  public: \
+    typedef __VA_ARGS__ value_type; \
+    typedef deque_base::allocator_type allocator_type; \
+    typedef deque_base::size_type size_type;  \
+    typedef deque_base::iterator iterator;  \
+    explicit deque(const allocator_type& a = allocator_type()) : deque_base(a) {}  \
+    template<typename InputIterator> \
+    deque(InputIterator first, InputIterator last, const allocator_type& a = allocator_type()) : deque_base(first, last, a) {} \
+    deque(const deque& c) : deque_base(c) {}  \
+    explicit deque(size_type num, const value_type& val = value_type()) : deque_base(num, val) {} \
+    deque(iterator start, iterator end) : deque_base(start, end) {}  \
+    deque& operator=(const deque& x) {  \
+      deque_base::operator=(x);  \
+      return *this;  \
+    } \
+  }; \
+}
+
+// check whether we really need the std::deque specialization
+#if !EIGEN_HAS_CXX11_CONTAINERS && !(defined(_GLIBCXX_DEQUE) && (!EIGEN_GNUC_AT_LEAST(4,1))) /* Note that before gcc-4.1 we already have: std::deque::resize(size_type,const T&). */
+
+namespace std {
+
+#define EIGEN_STD_DEQUE_SPECIALIZATION_BODY \
+  public:  \
+    typedef T value_type; \
+    typedef typename deque_base::allocator_type allocator_type; \
+    typedef typename deque_base::size_type size_type;  \
+    typedef typename deque_base::iterator iterator;  \
+    typedef typename deque_base::const_iterator const_iterator;  \
+    explicit deque(const allocator_type& a = allocator_type()) : deque_base(a) {}  \
+    template<typename InputIterator> \
+    deque(InputIterator first, InputIterator last, const allocator_type& a = allocator_type()) \
+    : deque_base(first, last, a) {} \
+    deque(const deque& c) : deque_base(c) {}  \
+    explicit deque(size_type num, const value_type& val = value_type()) : deque_base(num, val) {} \
+    deque(iterator start, iterator end) : deque_base(start, end) {}  \
+    deque& operator=(const deque& x) {  \
+      deque_base::operator=(x);  \
+      return *this;  \
+    }
+
+  template<typename T>
+  class deque<T,EIGEN_ALIGNED_ALLOCATOR<T> >
+    : public deque<EIGEN_WORKAROUND_MSVC_STL_SUPPORT(T),
+                   Eigen::aligned_allocator_indirection<EIGEN_WORKAROUND_MSVC_STL_SUPPORT(T)> >
+{
+  typedef deque<EIGEN_WORKAROUND_MSVC_STL_SUPPORT(T),
+                Eigen::aligned_allocator_indirection<EIGEN_WORKAROUND_MSVC_STL_SUPPORT(T)> > deque_base;
+  EIGEN_STD_DEQUE_SPECIALIZATION_BODY
+
+  void resize(size_type new_size)
+  { resize(new_size, T()); }
+
+#if defined(_DEQUE_)
+  // workaround MSVC std::deque implementation
+  void resize(size_type new_size, const value_type& x)
+  {
+    if (deque_base::size() < new_size)
+      deque_base::_Insert_n(deque_base::end(), new_size - deque_base::size(), x);
+    else if (new_size < deque_base::size())
+      deque_base::erase(deque_base::begin() + new_size, deque_base::end());
+  }
+  void push_back(const value_type& x)
+  { deque_base::push_back(x); } 
+  void push_front(const value_type& x)
+  { deque_base::push_front(x); }
+  using deque_base::insert;  
+  iterator insert(const_iterator position, const value_type& x)
+  { return deque_base::insert(position,x); }
+  void insert(const_iterator position, size_type new_size, const value_type& x)
+  { deque_base::insert(position, new_size, x); }
+#elif defined(_GLIBCXX_DEQUE) && EIGEN_GNUC_AT_LEAST(4,2) && !EIGEN_GNUC_AT_LEAST(10, 1)
+  // workaround GCC std::deque implementation
+  // GCC 10.1 doesn't let us access _Deque_impl _M_impl anymore and we have to
+  // fall-back to the default case
+  void resize(size_type new_size, const value_type& x)
+  {
+    if (new_size < deque_base::size())
+      deque_base::_M_erase_at_end(this->_M_impl._M_start + new_size);
+    else
+      deque_base::insert(deque_base::end(), new_size - deque_base::size(), x);
+  }
+#else
+  // either non-GCC or GCC between 4.1 and 10.1
+  // default implementation which should always work.
+  void resize(size_type new_size, const value_type& x)
+  {
+    if (new_size < deque_base::size())
+      deque_base::erase(deque_base::begin() + new_size, deque_base::end());
+    else if (new_size > deque_base::size())
+      deque_base::insert(deque_base::end(), new_size - deque_base::size(), x);
+  }
+#endif
+  };
+}
+
+#endif // check whether specialization is actually required
+
+#endif // EIGEN_STDDEQUE_H
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/StlSupport/details.h
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/StlSupport/details.h	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/StlSupport/details.h	(revision 3761)
@@ -0,0 +1,84 @@
+// This file is part of Eigen, a lightweight C++ template library
+// for linear algebra.
+//
+// Copyright (C) 2009 Gael Guennebaud <gael.guennebaud@inria.fr>
+// Copyright (C) 2009 Hauke Heibel <hauke.heibel@googlemail.com>
+//
+// This Source Code Form is subject to the terms of the Mozilla
+// Public License v. 2.0. If a copy of the MPL was not distributed
+// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
+
+#ifndef EIGEN_STL_DETAILS_H
+#define EIGEN_STL_DETAILS_H
+
+#ifndef EIGEN_ALIGNED_ALLOCATOR
+  #define EIGEN_ALIGNED_ALLOCATOR Eigen::aligned_allocator
+#endif
+
+namespace Eigen {
+
+  // This one is needed to prevent reimplementing the whole std::vector.
+  template <class T>
+  class aligned_allocator_indirection : public EIGEN_ALIGNED_ALLOCATOR<T>
+  {
+  public:
+    typedef std::size_t     size_type;
+    typedef std::ptrdiff_t  difference_type;
+    typedef T*              pointer;
+    typedef const T*        const_pointer;
+    typedef T&              reference;
+    typedef const T&        const_reference;
+    typedef T               value_type;
+
+    template<class U>
+    struct rebind
+    {
+      typedef aligned_allocator_indirection<U> other;
+    };
+
+    aligned_allocator_indirection() {}
+    aligned_allocator_indirection(const aligned_allocator_indirection& ) : EIGEN_ALIGNED_ALLOCATOR<T>() {}
+    aligned_allocator_indirection(const EIGEN_ALIGNED_ALLOCATOR<T>& ) {}
+    template<class U>
+    aligned_allocator_indirection(const aligned_allocator_indirection<U>& ) {}
+    template<class U>
+    aligned_allocator_indirection(const EIGEN_ALIGNED_ALLOCATOR<U>& ) {}
+    ~aligned_allocator_indirection() {}
+  };
+
+#if EIGEN_COMP_MSVC
+
+  // sometimes, MSVC detects, at compile time, that the argument x
+  // in std::vector::resize(size_t s,T x) won't be aligned and generate an error
+  // even if this function is never called. Whence this little wrapper.
+#define EIGEN_WORKAROUND_MSVC_STL_SUPPORT(T) \
+  typename Eigen::internal::conditional< \
+    Eigen::internal::is_arithmetic<T>::value, \
+    T, \
+    Eigen::internal::workaround_msvc_stl_support<T> \
+  >::type
+
+  namespace internal {
+  template<typename T> struct workaround_msvc_stl_support : public T
+  {
+    inline workaround_msvc_stl_support() : T() {}
+    inline workaround_msvc_stl_support(const T& other) : T(other) {}
+    inline operator T& () { return *static_cast<T*>(this); }
+    inline operator const T& () const { return *static_cast<const T*>(this); }
+    template<typename OtherT>
+    inline T& operator=(const OtherT& other)
+    { T::operator=(other); return *this; }
+    inline workaround_msvc_stl_support& operator=(const workaround_msvc_stl_support& other)
+    { T::operator=(other); return *this; }
+  };
+  }
+
+#else
+
+#define EIGEN_WORKAROUND_MSVC_STL_SUPPORT(T) T
+
+#endif
+
+}
+
+#endif // EIGEN_STL_DETAILS_H
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/SparseCholesky/SimplicialCholesky.h
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/SparseCholesky/SimplicialCholesky.h	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/SparseCholesky/SimplicialCholesky.h	(revision 3761)
@@ -0,0 +1,689 @@
+// This file is part of Eigen, a lightweight C++ template library
+// for linear algebra.
+//
+// Copyright (C) 2008-2012 Gael Guennebaud <gael.guennebaud@inria.fr>
+//
+// This Source Code Form is subject to the terms of the Mozilla
+// Public License v. 2.0. If a copy of the MPL was not distributed
+// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
+
+#ifndef EIGEN_SIMPLICIAL_CHOLESKY_H
+#define EIGEN_SIMPLICIAL_CHOLESKY_H
+
+namespace Eigen { 
+
+enum SimplicialCholeskyMode {
+  SimplicialCholeskyLLT,
+  SimplicialCholeskyLDLT
+};
+
+namespace internal {
+  template<typename CholMatrixType, typename InputMatrixType>
+  struct simplicial_cholesky_grab_input {
+    typedef CholMatrixType const * ConstCholMatrixPtr;
+    static void run(const InputMatrixType& input, ConstCholMatrixPtr &pmat, CholMatrixType &tmp)
+    {
+      tmp = input;
+      pmat = &tmp;
+    }
+  };
+  
+  template<typename MatrixType>
+  struct simplicial_cholesky_grab_input<MatrixType,MatrixType> {
+    typedef MatrixType const * ConstMatrixPtr;
+    static void run(const MatrixType& input, ConstMatrixPtr &pmat, MatrixType &/*tmp*/)
+    {
+      pmat = &input;
+    }
+  };
+} // end namespace internal
+
+/** \ingroup SparseCholesky_Module
+  * \brief A base class for direct sparse Cholesky factorizations
+  *
+  * This is a base class for LL^T and LDL^T Cholesky factorizations of sparse matrices that are
+  * selfadjoint and positive definite. These factorizations allow for solving A.X = B where
+  * X and B can be either dense or sparse.
+  * 
+  * In order to reduce the fill-in, a symmetric permutation P is applied prior to the factorization
+  * such that the factorized matrix is P A P^-1.
+  *
+  * \tparam Derived the type of the derived class, that is the actual factorization type.
+  *
+  */
+template<typename Derived>
+class SimplicialCholeskyBase : public SparseSolverBase<Derived>
+{
+    typedef SparseSolverBase<Derived> Base;
+    using Base::m_isInitialized;
+    
+  public:
+    typedef typename internal::traits<Derived>::MatrixType MatrixType;
+    typedef typename internal::traits<Derived>::OrderingType OrderingType;
+    enum { UpLo = internal::traits<Derived>::UpLo };
+    typedef typename MatrixType::Scalar Scalar;
+    typedef typename MatrixType::RealScalar RealScalar;
+    typedef typename MatrixType::StorageIndex StorageIndex;
+    typedef SparseMatrix<Scalar,ColMajor,StorageIndex> CholMatrixType;
+    typedef CholMatrixType const * ConstCholMatrixPtr;
+    typedef Matrix<Scalar,Dynamic,1> VectorType;
+    typedef Matrix<StorageIndex,Dynamic,1> VectorI;
+
+    enum {
+      ColsAtCompileTime = MatrixType::ColsAtCompileTime,
+      MaxColsAtCompileTime = MatrixType::MaxColsAtCompileTime
+    };
+
+  public:
+    
+    using Base::derived;
+
+    /** Default constructor */
+    SimplicialCholeskyBase()
+      : m_info(Success), m_shiftOffset(0), m_shiftScale(1)
+    {}
+
+    explicit SimplicialCholeskyBase(const MatrixType& matrix)
+      : m_info(Success), m_shiftOffset(0), m_shiftScale(1)
+    {
+      derived().compute(matrix);
+    }
+
+    ~SimplicialCholeskyBase()
+    {
+    }
+
+    Derived& derived() { return *static_cast<Derived*>(this); }
+    const Derived& derived() const { return *static_cast<const Derived*>(this); }
+    
+    inline Index cols() const { return m_matrix.cols(); }
+    inline Index rows() const { return m_matrix.rows(); }
+    
+    /** \brief Reports whether previous computation was successful.
+      *
+      * \returns \c Success if computation was succesful,
+      *          \c NumericalIssue if the matrix.appears to be negative.
+      */
+    ComputationInfo info() const
+    {
+      eigen_assert(m_isInitialized && "Decomposition is not initialized.");
+      return m_info;
+    }
+    
+    /** \returns the permutation P
+      * \sa permutationPinv() */
+    const PermutationMatrix<Dynamic,Dynamic,StorageIndex>& permutationP() const
+    { return m_P; }
+    
+    /** \returns the inverse P^-1 of the permutation P
+      * \sa permutationP() */
+    const PermutationMatrix<Dynamic,Dynamic,StorageIndex>& permutationPinv() const
+    { return m_Pinv; }
+
+    /** Sets the shift parameters that will be used to adjust the diagonal coefficients during the numerical factorization.
+      *
+      * During the numerical factorization, the diagonal coefficients are transformed by the following linear model:\n
+      * \c d_ii = \a offset + \a scale * \c d_ii
+      *
+      * The default is the identity transformation with \a offset=0, and \a scale=1.
+      *
+      * \returns a reference to \c *this.
+      */
+    Derived& setShift(const RealScalar& offset, const RealScalar& scale = 1)
+    {
+      m_shiftOffset = offset;
+      m_shiftScale = scale;
+      return derived();
+    }
+
+#ifndef EIGEN_PARSED_BY_DOXYGEN
+    /** \internal */
+    template<typename Stream>
+    void dumpMemory(Stream& s)
+    {
+      int total = 0;
+      s << "  L:        " << ((total+=(m_matrix.cols()+1) * sizeof(int) + m_matrix.nonZeros()*(sizeof(int)+sizeof(Scalar))) >> 20) << "Mb" << "\n";
+      s << "  diag:     " << ((total+=m_diag.size() * sizeof(Scalar)) >> 20) << "Mb" << "\n";
+      s << "  tree:     " << ((total+=m_parent.size() * sizeof(int)) >> 20) << "Mb" << "\n";
+      s << "  nonzeros: " << ((total+=m_nonZerosPerCol.size() * sizeof(int)) >> 20) << "Mb" << "\n";
+      s << "  perm:     " << ((total+=m_P.size() * sizeof(int)) >> 20) << "Mb" << "\n";
+      s << "  perm^-1:  " << ((total+=m_Pinv.size() * sizeof(int)) >> 20) << "Mb" << "\n";
+      s << "  TOTAL:    " << (total>> 20) << "Mb" << "\n";
+    }
+
+    /** \internal */
+    template<typename Rhs,typename Dest>
+    void _solve_impl(const MatrixBase<Rhs> &b, MatrixBase<Dest> &dest) const
+    {
+      eigen_assert(m_factorizationIsOk && "The decomposition is not in a valid state for solving, you must first call either compute() or symbolic()/numeric()");
+      eigen_assert(m_matrix.rows()==b.rows());
+
+      if(m_info!=Success)
+        return;
+
+      if(m_P.size()>0)
+        dest = m_P * b;
+      else
+        dest = b;
+
+      if(m_matrix.nonZeros()>0) // otherwise L==I
+        derived().matrixL().solveInPlace(dest);
+
+      if(m_diag.size()>0)
+        dest = m_diag.asDiagonal().inverse() * dest;
+
+      if (m_matrix.nonZeros()>0) // otherwise U==I
+        derived().matrixU().solveInPlace(dest);
+
+      if(m_P.size()>0)
+        dest = m_Pinv * dest;
+    }
+    
+    template<typename Rhs,typename Dest>
+    void _solve_impl(const SparseMatrixBase<Rhs> &b, SparseMatrixBase<Dest> &dest) const
+    {
+      internal::solve_sparse_through_dense_panels(derived(), b, dest);
+    }
+
+#endif // EIGEN_PARSED_BY_DOXYGEN
+
+  protected:
+    
+    /** Computes the sparse Cholesky decomposition of \a matrix */
+    template<bool DoLDLT>
+    void compute(const MatrixType& matrix)
+    {
+      eigen_assert(matrix.rows()==matrix.cols());
+      Index size = matrix.cols();
+      CholMatrixType tmp(size,size);
+      ConstCholMatrixPtr pmat;
+      ordering(matrix, pmat, tmp);
+      analyzePattern_preordered(*pmat, DoLDLT);
+      factorize_preordered<DoLDLT>(*pmat);
+    }
+    
+    template<bool DoLDLT>
+    void factorize(const MatrixType& a)
+    {
+      eigen_assert(a.rows()==a.cols());
+      Index size = a.cols();
+      CholMatrixType tmp(size,size);
+      ConstCholMatrixPtr pmat;
+      
+      if(m_P.size()==0 && (UpLo&Upper)==Upper)
+      {
+        // If there is no ordering, try to directly use the input matrix without any copy
+        internal::simplicial_cholesky_grab_input<CholMatrixType,MatrixType>::run(a, pmat, tmp);
+      }
+      else
+      {
+        tmp.template selfadjointView<Upper>() = a.template selfadjointView<UpLo>().twistedBy(m_P);
+        pmat = &tmp;
+      }
+      
+      factorize_preordered<DoLDLT>(*pmat);
+    }
+
+    template<bool DoLDLT>
+    void factorize_preordered(const CholMatrixType& a);
+
+    void analyzePattern(const MatrixType& a, bool doLDLT)
+    {
+      eigen_assert(a.rows()==a.cols());
+      Index size = a.cols();
+      CholMatrixType tmp(size,size);
+      ConstCholMatrixPtr pmat;
+      ordering(a, pmat, tmp);
+      analyzePattern_preordered(*pmat,doLDLT);
+    }
+    void analyzePattern_preordered(const CholMatrixType& a, bool doLDLT);
+    
+    void ordering(const MatrixType& a, ConstCholMatrixPtr &pmat, CholMatrixType& ap);
+
+    /** keeps off-diagonal entries; drops diagonal entries */
+    struct keep_diag {
+      inline bool operator() (const Index& row, const Index& col, const Scalar&) const
+      {
+        return row!=col;
+      }
+    };
+
+    mutable ComputationInfo m_info;
+    bool m_factorizationIsOk;
+    bool m_analysisIsOk;
+    
+    CholMatrixType m_matrix;
+    VectorType m_diag;                                // the diagonal coefficients (LDLT mode)
+    VectorI m_parent;                                 // elimination tree
+    VectorI m_nonZerosPerCol;
+    PermutationMatrix<Dynamic,Dynamic,StorageIndex> m_P;     // the permutation
+    PermutationMatrix<Dynamic,Dynamic,StorageIndex> m_Pinv;  // the inverse permutation
+
+    RealScalar m_shiftOffset;
+    RealScalar m_shiftScale;
+};
+
+template<typename _MatrixType, int _UpLo = Lower, typename _Ordering = AMDOrdering<typename _MatrixType::StorageIndex> > class SimplicialLLT;
+template<typename _MatrixType, int _UpLo = Lower, typename _Ordering = AMDOrdering<typename _MatrixType::StorageIndex> > class SimplicialLDLT;
+template<typename _MatrixType, int _UpLo = Lower, typename _Ordering = AMDOrdering<typename _MatrixType::StorageIndex> > class SimplicialCholesky;
+
+namespace internal {
+
+template<typename _MatrixType, int _UpLo, typename _Ordering> struct traits<SimplicialLLT<_MatrixType,_UpLo,_Ordering> >
+{
+  typedef _MatrixType MatrixType;
+  typedef _Ordering OrderingType;
+  enum { UpLo = _UpLo };
+  typedef typename MatrixType::Scalar                         Scalar;
+  typedef typename MatrixType::StorageIndex                   StorageIndex;
+  typedef SparseMatrix<Scalar, ColMajor, StorageIndex>        CholMatrixType;
+  typedef TriangularView<const CholMatrixType, Eigen::Lower>  MatrixL;
+  typedef TriangularView<const typename CholMatrixType::AdjointReturnType, Eigen::Upper>   MatrixU;
+  static inline MatrixL getL(const MatrixType& m) { return MatrixL(m); }
+  static inline MatrixU getU(const MatrixType& m) { return MatrixU(m.adjoint()); }
+};
+
+template<typename _MatrixType,int _UpLo, typename _Ordering> struct traits<SimplicialLDLT<_MatrixType,_UpLo,_Ordering> >
+{
+  typedef _MatrixType MatrixType;
+  typedef _Ordering OrderingType;
+  enum { UpLo = _UpLo };
+  typedef typename MatrixType::Scalar                             Scalar;
+  typedef typename MatrixType::StorageIndex                       StorageIndex;
+  typedef SparseMatrix<Scalar, ColMajor, StorageIndex>            CholMatrixType;
+  typedef TriangularView<const CholMatrixType, Eigen::UnitLower>  MatrixL;
+  typedef TriangularView<const typename CholMatrixType::AdjointReturnType, Eigen::UnitUpper> MatrixU;
+  static inline MatrixL getL(const MatrixType& m) { return MatrixL(m); }
+  static inline MatrixU getU(const MatrixType& m) { return MatrixU(m.adjoint()); }
+};
+
+template<typename _MatrixType, int _UpLo, typename _Ordering> struct traits<SimplicialCholesky<_MatrixType,_UpLo,_Ordering> >
+{
+  typedef _MatrixType MatrixType;
+  typedef _Ordering OrderingType;
+  enum { UpLo = _UpLo };
+};
+
+}
+
+/** \ingroup SparseCholesky_Module
+  * \class SimplicialLLT
+  * \brief A direct sparse LLT Cholesky factorizations
+  *
+  * This class provides a LL^T Cholesky factorizations of sparse matrices that are
+  * selfadjoint and positive definite. The factorization allows for solving A.X = B where
+  * X and B can be either dense or sparse.
+  * 
+  * In order to reduce the fill-in, a symmetric permutation P is applied prior to the factorization
+  * such that the factorized matrix is P A P^-1.
+  *
+  * \tparam _MatrixType the type of the sparse matrix A, it must be a SparseMatrix<>
+  * \tparam _UpLo the triangular part that will be used for the computations. It can be Lower
+  *               or Upper. Default is Lower.
+  * \tparam _Ordering The ordering method to use, either AMDOrdering<> or NaturalOrdering<>. Default is AMDOrdering<>
+  *
+  * \implsparsesolverconcept
+  *
+  * \sa class SimplicialLDLT, class AMDOrdering, class NaturalOrdering
+  */
+template<typename _MatrixType, int _UpLo, typename _Ordering>
+    class SimplicialLLT : public SimplicialCholeskyBase<SimplicialLLT<_MatrixType,_UpLo,_Ordering> >
+{
+public:
+    typedef _MatrixType MatrixType;
+    enum { UpLo = _UpLo };
+    typedef SimplicialCholeskyBase<SimplicialLLT> Base;
+    typedef typename MatrixType::Scalar Scalar;
+    typedef typename MatrixType::RealScalar RealScalar;
+    typedef typename MatrixType::StorageIndex StorageIndex;
+    typedef SparseMatrix<Scalar,ColMajor,Index> CholMatrixType;
+    typedef Matrix<Scalar,Dynamic,1> VectorType;
+    typedef internal::traits<SimplicialLLT> Traits;
+    typedef typename Traits::MatrixL  MatrixL;
+    typedef typename Traits::MatrixU  MatrixU;
+public:
+    /** Default constructor */
+    SimplicialLLT() : Base() {}
+    /** Constructs and performs the LLT factorization of \a matrix */
+    explicit SimplicialLLT(const MatrixType& matrix)
+        : Base(matrix) {}
+
+    /** \returns an expression of the factor L */
+    inline const MatrixL matrixL() const {
+        eigen_assert(Base::m_factorizationIsOk && "Simplicial LLT not factorized");
+        return Traits::getL(Base::m_matrix);
+    }
+
+    /** \returns an expression of the factor U (= L^*) */
+    inline const MatrixU matrixU() const {
+        eigen_assert(Base::m_factorizationIsOk && "Simplicial LLT not factorized");
+        return Traits::getU(Base::m_matrix);
+    }
+    
+    /** Computes the sparse Cholesky decomposition of \a matrix */
+    SimplicialLLT& compute(const MatrixType& matrix)
+    {
+      Base::template compute<false>(matrix);
+      return *this;
+    }
+
+    /** Performs a symbolic decomposition on the sparcity of \a matrix.
+      *
+      * This function is particularly useful when solving for several problems having the same structure.
+      *
+      * \sa factorize()
+      */
+    void analyzePattern(const MatrixType& a)
+    {
+      Base::analyzePattern(a, false);
+    }
+
+    /** Performs a numeric decomposition of \a matrix
+      *
+      * The given matrix must has the same sparcity than the matrix on which the symbolic decomposition has been performed.
+      *
+      * \sa analyzePattern()
+      */
+    void factorize(const MatrixType& a)
+    {
+      Base::template factorize<false>(a);
+    }
+
+    /** \returns the determinant of the underlying matrix from the current factorization */
+    Scalar determinant() const
+    {
+      Scalar detL = Base::m_matrix.diagonal().prod();
+      return numext::abs2(detL);
+    }
+};
+
+/** \ingroup SparseCholesky_Module
+  * \class SimplicialLDLT
+  * \brief A direct sparse LDLT Cholesky factorizations without square root.
+  *
+  * This class provides a LDL^T Cholesky factorizations without square root of sparse matrices that are
+  * selfadjoint and positive definite. The factorization allows for solving A.X = B where
+  * X and B can be either dense or sparse.
+  * 
+  * In order to reduce the fill-in, a symmetric permutation P is applied prior to the factorization
+  * such that the factorized matrix is P A P^-1.
+  *
+  * \tparam _MatrixType the type of the sparse matrix A, it must be a SparseMatrix<>
+  * \tparam _UpLo the triangular part that will be used for the computations. It can be Lower
+  *               or Upper. Default is Lower.
+  * \tparam _Ordering The ordering method to use, either AMDOrdering<> or NaturalOrdering<>. Default is AMDOrdering<>
+  *
+  * \implsparsesolverconcept
+  *
+  * \sa class SimplicialLLT, class AMDOrdering, class NaturalOrdering
+  */
+template<typename _MatrixType, int _UpLo, typename _Ordering>
+    class SimplicialLDLT : public SimplicialCholeskyBase<SimplicialLDLT<_MatrixType,_UpLo,_Ordering> >
+{
+public:
+    typedef _MatrixType MatrixType;
+    enum { UpLo = _UpLo };
+    typedef SimplicialCholeskyBase<SimplicialLDLT> Base;
+    typedef typename MatrixType::Scalar Scalar;
+    typedef typename MatrixType::RealScalar RealScalar;
+    typedef typename MatrixType::StorageIndex StorageIndex;
+    typedef SparseMatrix<Scalar,ColMajor,StorageIndex> CholMatrixType;
+    typedef Matrix<Scalar,Dynamic,1> VectorType;
+    typedef internal::traits<SimplicialLDLT> Traits;
+    typedef typename Traits::MatrixL  MatrixL;
+    typedef typename Traits::MatrixU  MatrixU;
+public:
+    /** Default constructor */
+    SimplicialLDLT() : Base() {}
+
+    /** Constructs and performs the LLT factorization of \a matrix */
+    explicit SimplicialLDLT(const MatrixType& matrix)
+        : Base(matrix) {}
+
+    /** \returns a vector expression of the diagonal D */
+    inline const VectorType vectorD() const {
+        eigen_assert(Base::m_factorizationIsOk && "Simplicial LDLT not factorized");
+        return Base::m_diag;
+    }
+    /** \returns an expression of the factor L */
+    inline const MatrixL matrixL() const {
+        eigen_assert(Base::m_factorizationIsOk && "Simplicial LDLT not factorized");
+        return Traits::getL(Base::m_matrix);
+    }
+
+    /** \returns an expression of the factor U (= L^*) */
+    inline const MatrixU matrixU() const {
+        eigen_assert(Base::m_factorizationIsOk && "Simplicial LDLT not factorized");
+        return Traits::getU(Base::m_matrix);
+    }
+
+    /** Computes the sparse Cholesky decomposition of \a matrix */
+    SimplicialLDLT& compute(const MatrixType& matrix)
+    {
+      Base::template compute<true>(matrix);
+      return *this;
+    }
+    
+    /** Performs a symbolic decomposition on the sparcity of \a matrix.
+      *
+      * This function is particularly useful when solving for several problems having the same structure.
+      *
+      * \sa factorize()
+      */
+    void analyzePattern(const MatrixType& a)
+    {
+      Base::analyzePattern(a, true);
+    }
+
+    /** Performs a numeric decomposition of \a matrix
+      *
+      * The given matrix must has the same sparcity than the matrix on which the symbolic decomposition has been performed.
+      *
+      * \sa analyzePattern()
+      */
+    void factorize(const MatrixType& a)
+    {
+      Base::template factorize<true>(a);
+    }
+
+    /** \returns the determinant of the underlying matrix from the current factorization */
+    Scalar determinant() const
+    {
+      return Base::m_diag.prod();
+    }
+};
+
+/** \deprecated use SimplicialLDLT or class SimplicialLLT
+  * \ingroup SparseCholesky_Module
+  * \class SimplicialCholesky
+  *
+  * \sa class SimplicialLDLT, class SimplicialLLT
+  */
+template<typename _MatrixType, int _UpLo, typename _Ordering>
+    class SimplicialCholesky : public SimplicialCholeskyBase<SimplicialCholesky<_MatrixType,_UpLo,_Ordering> >
+{
+public:
+    typedef _MatrixType MatrixType;
+    enum { UpLo = _UpLo };
+    typedef SimplicialCholeskyBase<SimplicialCholesky> Base;
+    typedef typename MatrixType::Scalar Scalar;
+    typedef typename MatrixType::RealScalar RealScalar;
+    typedef typename MatrixType::StorageIndex StorageIndex;
+    typedef SparseMatrix<Scalar,ColMajor,StorageIndex> CholMatrixType;
+    typedef Matrix<Scalar,Dynamic,1> VectorType;
+    typedef internal::traits<SimplicialCholesky> Traits;
+    typedef internal::traits<SimplicialLDLT<MatrixType,UpLo> > LDLTTraits;
+    typedef internal::traits<SimplicialLLT<MatrixType,UpLo>  > LLTTraits;
+  public:
+    SimplicialCholesky() : Base(), m_LDLT(true) {}
+
+    explicit SimplicialCholesky(const MatrixType& matrix)
+      : Base(), m_LDLT(true)
+    {
+      compute(matrix);
+    }
+
+    SimplicialCholesky& setMode(SimplicialCholeskyMode mode)
+    {
+      switch(mode)
+      {
+      case SimplicialCholeskyLLT:
+        m_LDLT = false;
+        break;
+      case SimplicialCholeskyLDLT:
+        m_LDLT = true;
+        break;
+      default:
+        break;
+      }
+
+      return *this;
+    }
+
+    inline const VectorType vectorD() const {
+        eigen_assert(Base::m_factorizationIsOk && "Simplicial Cholesky not factorized");
+        return Base::m_diag;
+    }
+    inline const CholMatrixType rawMatrix() const {
+        eigen_assert(Base::m_factorizationIsOk && "Simplicial Cholesky not factorized");
+        return Base::m_matrix;
+    }
+    
+    /** Computes the sparse Cholesky decomposition of \a matrix */
+    SimplicialCholesky& compute(const MatrixType& matrix)
+    {
+      if(m_LDLT)
+        Base::template compute<true>(matrix);
+      else
+        Base::template compute<false>(matrix);
+      return *this;
+    }
+
+    /** Performs a symbolic decomposition on the sparcity of \a matrix.
+      *
+      * This function is particularly useful when solving for several problems having the same structure.
+      *
+      * \sa factorize()
+      */
+    void analyzePattern(const MatrixType& a)
+    {
+      Base::analyzePattern(a, m_LDLT);
+    }
+
+    /** Performs a numeric decomposition of \a matrix
+      *
+      * The given matrix must has the same sparcity than the matrix on which the symbolic decomposition has been performed.
+      *
+      * \sa analyzePattern()
+      */
+    void factorize(const MatrixType& a)
+    {
+      if(m_LDLT)
+        Base::template factorize<true>(a);
+      else
+        Base::template factorize<false>(a);
+    }
+
+    /** \internal */
+    template<typename Rhs,typename Dest>
+    void _solve_impl(const MatrixBase<Rhs> &b, MatrixBase<Dest> &dest) const
+    {
+      eigen_assert(Base::m_factorizationIsOk && "The decomposition is not in a valid state for solving, you must first call either compute() or symbolic()/numeric()");
+      eigen_assert(Base::m_matrix.rows()==b.rows());
+
+      if(Base::m_info!=Success)
+        return;
+
+      if(Base::m_P.size()>0)
+        dest = Base::m_P * b;
+      else
+        dest = b;
+
+      if(Base::m_matrix.nonZeros()>0) // otherwise L==I
+      {
+        if(m_LDLT)
+          LDLTTraits::getL(Base::m_matrix).solveInPlace(dest);
+        else
+          LLTTraits::getL(Base::m_matrix).solveInPlace(dest);
+      }
+
+      if(Base::m_diag.size()>0)
+        dest = Base::m_diag.real().asDiagonal().inverse() * dest;
+
+      if (Base::m_matrix.nonZeros()>0) // otherwise I==I
+      {
+        if(m_LDLT)
+          LDLTTraits::getU(Base::m_matrix).solveInPlace(dest);
+        else
+          LLTTraits::getU(Base::m_matrix).solveInPlace(dest);
+      }
+
+      if(Base::m_P.size()>0)
+        dest = Base::m_Pinv * dest;
+    }
+    
+    /** \internal */
+    template<typename Rhs,typename Dest>
+    void _solve_impl(const SparseMatrixBase<Rhs> &b, SparseMatrixBase<Dest> &dest) const
+    {
+      internal::solve_sparse_through_dense_panels(*this, b, dest);
+    }
+    
+    Scalar determinant() const
+    {
+      if(m_LDLT)
+      {
+        return Base::m_diag.prod();
+      }
+      else
+      {
+        Scalar detL = Diagonal<const CholMatrixType>(Base::m_matrix).prod();
+        return numext::abs2(detL);
+      }
+    }
+    
+  protected:
+    bool m_LDLT;
+};
+
+template<typename Derived>
+void SimplicialCholeskyBase<Derived>::ordering(const MatrixType& a, ConstCholMatrixPtr &pmat, CholMatrixType& ap)
+{
+  eigen_assert(a.rows()==a.cols());
+  const Index size = a.rows();
+  pmat = &ap;
+  // Note that ordering methods compute the inverse permutation
+  if(!internal::is_same<OrderingType,NaturalOrdering<Index> >::value)
+  {
+    {
+      CholMatrixType C;
+      C = a.template selfadjointView<UpLo>();
+      
+      OrderingType ordering;
+      ordering(C,m_Pinv);
+    }
+
+    if(m_Pinv.size()>0) m_P = m_Pinv.inverse();
+    else                m_P.resize(0);
+    
+    ap.resize(size,size);
+    ap.template selfadjointView<Upper>() = a.template selfadjointView<UpLo>().twistedBy(m_P);
+  }
+  else
+  {
+    m_Pinv.resize(0);
+    m_P.resize(0);
+    if(int(UpLo)==int(Lower) || MatrixType::IsRowMajor)
+    {
+      // we have to transpose the lower part to to the upper one
+      ap.resize(size,size);
+      ap.template selfadjointView<Upper>() = a.template selfadjointView<UpLo>();
+    }
+    else
+      internal::simplicial_cholesky_grab_input<CholMatrixType,MatrixType>::run(a, pmat, ap);
+  }  
+}
+
+} // end namespace Eigen
+
+#endif // EIGEN_SIMPLICIAL_CHOLESKY_H
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/SparseCholesky/SimplicialCholesky_impl.h
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/SparseCholesky/SimplicialCholesky_impl.h	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/SparseCholesky/SimplicialCholesky_impl.h	(revision 3761)
@@ -0,0 +1,199 @@
+// This file is part of Eigen, a lightweight C++ template library
+// for linear algebra.
+//
+// Copyright (C) 2008-2012 Gael Guennebaud <gael.guennebaud@inria.fr>
+
+/*
+
+NOTE: thes functions vave been adapted from the LDL library:
+
+LDL Copyright (c) 2005 by Timothy A. Davis.  All Rights Reserved.
+
+LDL License:
+
+    Your use or distribution of LDL or any modified version of
+    LDL implies that you agree to this License.
+
+    This library is free software; you can redistribute it and/or
+    modify it under the terms of the GNU Lesser General Public
+    License as published by the Free Software Foundation; either
+    version 2.1 of the License, or (at your option) any later version.
+
+    This library is distributed in the hope that it will be useful,
+    but WITHOUT ANY WARRANTY; without even the implied warranty of
+    MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the GNU
+    Lesser General Public License for more details.
+
+    You should have received a copy of the GNU Lesser General Public
+    License along with this library; if not, write to the Free Software
+    Foundation, Inc., 51 Franklin St, Fifth Floor, Boston, MA  02110-1301
+    USA
+
+    Permission is hereby granted to use or copy this program under the
+    terms of the GNU LGPL, provided that the Copyright, this License,
+    and the Availability of the original version is retained on all copies.
+    User documentation of any code that uses this code or any modified
+    version of this code must cite the Copyright, this License, the
+    Availability note, and "Used by permission." Permission to modify
+    the code and to distribute modified code is granted, provided the
+    Copyright, this License, and the Availability note are retained,
+    and a notice that the code was modified is included.
+ */
+
+#include "../Core/util/NonMPL2.h"
+
+#ifndef EIGEN_SIMPLICIAL_CHOLESKY_IMPL_H
+#define EIGEN_SIMPLICIAL_CHOLESKY_IMPL_H
+
+namespace Eigen {
+
+template<typename Derived>
+void SimplicialCholeskyBase<Derived>::analyzePattern_preordered(const CholMatrixType& ap, bool doLDLT)
+{
+  const StorageIndex size = StorageIndex(ap.rows());
+  m_matrix.resize(size, size);
+  m_parent.resize(size);
+  m_nonZerosPerCol.resize(size);
+
+  ei_declare_aligned_stack_constructed_variable(StorageIndex, tags, size, 0);
+
+  for(StorageIndex k = 0; k < size; ++k)
+  {
+    /* L(k,:) pattern: all nodes reachable in etree from nz in A(0:k-1,k) */
+    m_parent[k] = -1;             /* parent of k is not yet known */
+    tags[k] = k;                  /* mark node k as visited */
+    m_nonZerosPerCol[k] = 0;      /* count of nonzeros in column k of L */
+    for(typename CholMatrixType::InnerIterator it(ap,k); it; ++it)
+    {
+      StorageIndex i = it.index();
+      if(i < k)
+      {
+        /* follow path from i to root of etree, stop at flagged node */
+        for(; tags[i] != k; i = m_parent[i])
+        {
+          /* find parent of i if not yet determined */
+          if (m_parent[i] == -1)
+            m_parent[i] = k;
+          m_nonZerosPerCol[i]++;        /* L (k,i) is nonzero */
+          tags[i] = k;                  /* mark i as visited */
+        }
+      }
+    }
+  }
+
+  /* construct Lp index array from m_nonZerosPerCol column counts */
+  StorageIndex* Lp = m_matrix.outerIndexPtr();
+  Lp[0] = 0;
+  for(StorageIndex k = 0; k < size; ++k)
+    Lp[k+1] = Lp[k] + m_nonZerosPerCol[k] + (doLDLT ? 0 : 1);
+
+  m_matrix.resizeNonZeros(Lp[size]);
+
+  m_isInitialized     = true;
+  m_info              = Success;
+  m_analysisIsOk      = true;
+  m_factorizationIsOk = false;
+}
+
+
+template<typename Derived>
+template<bool DoLDLT>
+void SimplicialCholeskyBase<Derived>::factorize_preordered(const CholMatrixType& ap)
+{
+  using std::sqrt;
+
+  eigen_assert(m_analysisIsOk && "You must first call analyzePattern()");
+  eigen_assert(ap.rows()==ap.cols());
+  eigen_assert(m_parent.size()==ap.rows());
+  eigen_assert(m_nonZerosPerCol.size()==ap.rows());
+
+  const StorageIndex size = StorageIndex(ap.rows());
+  const StorageIndex* Lp = m_matrix.outerIndexPtr();
+  StorageIndex* Li = m_matrix.innerIndexPtr();
+  Scalar* Lx = m_matrix.valuePtr();
+
+  ei_declare_aligned_stack_constructed_variable(Scalar, y, size, 0);
+  ei_declare_aligned_stack_constructed_variable(StorageIndex,  pattern, size, 0);
+  ei_declare_aligned_stack_constructed_variable(StorageIndex,  tags, size, 0);
+
+  bool ok = true;
+  m_diag.resize(DoLDLT ? size : 0);
+
+  for(StorageIndex k = 0; k < size; ++k)
+  {
+    // compute nonzero pattern of kth row of L, in topological order
+    y[k] = 0.0;                     // Y(0:k) is now all zero
+    StorageIndex top = size;               // stack for pattern is empty
+    tags[k] = k;                    // mark node k as visited
+    m_nonZerosPerCol[k] = 0;        // count of nonzeros in column k of L
+    for(typename CholMatrixType::InnerIterator it(ap,k); it; ++it)
+    {
+      StorageIndex i = it.index();
+      if(i <= k)
+      {
+        y[i] += numext::conj(it.value());            /* scatter A(i,k) into Y (sum duplicates) */
+        Index len;
+        for(len = 0; tags[i] != k; i = m_parent[i])
+        {
+          pattern[len++] = i;     /* L(k,i) is nonzero */
+          tags[i] = k;            /* mark i as visited */
+        }
+        while(len > 0)
+          pattern[--top] = pattern[--len];
+      }
+    }
+
+    /* compute numerical values kth row of L (a sparse triangular solve) */
+
+    RealScalar d = numext::real(y[k]) * m_shiftScale + m_shiftOffset;    // get D(k,k), apply the shift function, and clear Y(k)
+    y[k] = 0.0;
+    for(; top < size; ++top)
+    {
+      Index i = pattern[top];       /* pattern[top:n-1] is pattern of L(:,k) */
+      Scalar yi = y[i];             /* get and clear Y(i) */
+      y[i] = 0.0;
+
+      /* the nonzero entry L(k,i) */
+      Scalar l_ki;
+      if(DoLDLT)
+        l_ki = yi / numext::real(m_diag[i]);
+      else
+        yi = l_ki = yi / Lx[Lp[i]];
+
+      Index p2 = Lp[i] + m_nonZerosPerCol[i];
+      Index p;
+      for(p = Lp[i] + (DoLDLT ? 0 : 1); p < p2; ++p)
+        y[Li[p]] -= numext::conj(Lx[p]) * yi;
+      d -= numext::real(l_ki * numext::conj(yi));
+      Li[p] = k;                          /* store L(k,i) in column form of L */
+      Lx[p] = l_ki;
+      ++m_nonZerosPerCol[i];              /* increment count of nonzeros in col i */
+    }
+    if(DoLDLT)
+    {
+      m_diag[k] = d;
+      if(d == RealScalar(0))
+      {
+        ok = false;                         /* failure, D(k,k) is zero */
+        break;
+      }
+    }
+    else
+    {
+      Index p = Lp[k] + m_nonZerosPerCol[k]++;
+      Li[p] = k ;                /* store L(k,k) = sqrt (d) in column k */
+      if(d <= RealScalar(0)) {
+        ok = false;              /* failure, matrix is not positive definite */
+        break;
+      }
+      Lx[p] = sqrt(d) ;
+    }
+  }
+
+  m_info = ok ? Success : NumericalIssue;
+  m_factorizationIsOk = true;
+}
+
+} // end namespace Eigen
+
+#endif // EIGEN_SIMPLICIAL_CHOLESKY_IMPL_H
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/SparseQR/SparseQR.h
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/SparseQR/SparseQR.h	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/SparseQR/SparseQR.h	(revision 3761)
@@ -0,0 +1,745 @@
+// This file is part of Eigen, a lightweight C++ template library
+// for linear algebra.
+//
+// Copyright (C) 2012-2013 Desire Nuentsa <desire.nuentsa_wakam@inria.fr>
+// Copyright (C) 2012-2014 Gael Guennebaud <gael.guennebaud@inria.fr>
+//
+// This Source Code Form is subject to the terms of the Mozilla
+// Public License v. 2.0. If a copy of the MPL was not distributed
+// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
+
+#ifndef EIGEN_SPARSE_QR_H
+#define EIGEN_SPARSE_QR_H
+
+namespace Eigen {
+
+template<typename MatrixType, typename OrderingType> class SparseQR;
+template<typename SparseQRType> struct SparseQRMatrixQReturnType;
+template<typename SparseQRType> struct SparseQRMatrixQTransposeReturnType;
+template<typename SparseQRType, typename Derived> struct SparseQR_QProduct;
+namespace internal {
+  template <typename SparseQRType> struct traits<SparseQRMatrixQReturnType<SparseQRType> >
+  {
+    typedef typename SparseQRType::MatrixType ReturnType;
+    typedef typename ReturnType::StorageIndex StorageIndex;
+    typedef typename ReturnType::StorageKind StorageKind;
+    enum {
+      RowsAtCompileTime = Dynamic,
+      ColsAtCompileTime = Dynamic
+    };
+  };
+  template <typename SparseQRType> struct traits<SparseQRMatrixQTransposeReturnType<SparseQRType> >
+  {
+    typedef typename SparseQRType::MatrixType ReturnType;
+  };
+  template <typename SparseQRType, typename Derived> struct traits<SparseQR_QProduct<SparseQRType, Derived> >
+  {
+    typedef typename Derived::PlainObject ReturnType;
+  };
+} // End namespace internal
+
+/**
+  * \ingroup SparseQR_Module
+  * \class SparseQR
+  * \brief Sparse left-looking rank-revealing QR factorization
+  * 
+  * This class implements a left-looking rank-revealing QR decomposition 
+  * of sparse matrices. When a column has a norm less than a given tolerance
+  * it is implicitly permuted to the end. The QR factorization thus obtained is 
+  * given by A*P = Q*R where R is upper triangular or trapezoidal. 
+  * 
+  * P is the column permutation which is the product of the fill-reducing and the
+  * rank-revealing permutations. Use colsPermutation() to get it.
+  * 
+  * Q is the orthogonal matrix represented as products of Householder reflectors. 
+  * Use matrixQ() to get an expression and matrixQ().adjoint() to get the adjoint.
+  * You can then apply it to a vector.
+  * 
+  * R is the sparse triangular or trapezoidal matrix. The later occurs when A is rank-deficient.
+  * matrixR().topLeftCorner(rank(), rank()) always returns a triangular factor of full rank.
+  * 
+  * \tparam _MatrixType The type of the sparse matrix A, must be a column-major SparseMatrix<>
+  * \tparam _OrderingType The fill-reducing ordering method. See the \link OrderingMethods_Module 
+  *  OrderingMethods \endlink module for the list of built-in and external ordering methods.
+  * 
+  * \implsparsesolverconcept
+  *
+  * \warning The input sparse matrix A must be in compressed mode (see SparseMatrix::makeCompressed()).
+  * \warning For complex matrices matrixQ().transpose() will actually return the adjoint matrix.
+  * 
+  */
+template<typename _MatrixType, typename _OrderingType>
+class SparseQR : public SparseSolverBase<SparseQR<_MatrixType,_OrderingType> >
+{
+  protected:
+    typedef SparseSolverBase<SparseQR<_MatrixType,_OrderingType> > Base;
+    using Base::m_isInitialized;
+  public:
+    using Base::_solve_impl;
+    typedef _MatrixType MatrixType;
+    typedef _OrderingType OrderingType;
+    typedef typename MatrixType::Scalar Scalar;
+    typedef typename MatrixType::RealScalar RealScalar;
+    typedef typename MatrixType::StorageIndex StorageIndex;
+    typedef SparseMatrix<Scalar,ColMajor,StorageIndex> QRMatrixType;
+    typedef Matrix<StorageIndex, Dynamic, 1> IndexVector;
+    typedef Matrix<Scalar, Dynamic, 1> ScalarVector;
+    typedef PermutationMatrix<Dynamic, Dynamic, StorageIndex> PermutationType;
+
+    enum {
+      ColsAtCompileTime = MatrixType::ColsAtCompileTime,
+      MaxColsAtCompileTime = MatrixType::MaxColsAtCompileTime
+    };
+    
+  public:
+    SparseQR () :  m_analysisIsok(false), m_lastError(""), m_useDefaultThreshold(true),m_isQSorted(false),m_isEtreeOk(false)
+    { }
+    
+    /** Construct a QR factorization of the matrix \a mat.
+      * 
+      * \warning The matrix \a mat must be in compressed mode (see SparseMatrix::makeCompressed()).
+      * 
+      * \sa compute()
+      */
+    explicit SparseQR(const MatrixType& mat) : m_analysisIsok(false), m_lastError(""), m_useDefaultThreshold(true),m_isQSorted(false),m_isEtreeOk(false)
+    {
+      compute(mat);
+    }
+    
+    /** Computes the QR factorization of the sparse matrix \a mat.
+      * 
+      * \warning The matrix \a mat must be in compressed mode (see SparseMatrix::makeCompressed()).
+      * 
+      * \sa analyzePattern(), factorize()
+      */
+    void compute(const MatrixType& mat)
+    {
+      analyzePattern(mat);
+      factorize(mat);
+    }
+    void analyzePattern(const MatrixType& mat);
+    void factorize(const MatrixType& mat);
+    
+    /** \returns the number of rows of the represented matrix. 
+      */
+    inline Index rows() const { return m_pmat.rows(); }
+    
+    /** \returns the number of columns of the represented matrix. 
+      */
+    inline Index cols() const { return m_pmat.cols();}
+    
+    /** \returns a const reference to the \b sparse upper triangular matrix R of the QR factorization.
+      * \warning The entries of the returned matrix are not sorted. This means that using it in algorithms
+      *          expecting sorted entries will fail. This include random coefficient accesses (SpaseMatrix::coeff()),
+      *          and coefficient-wise operations. Matrix products and triangular solves are fine though.
+      *
+      * To sort the entries, you can assign it to a row-major matrix, and if a column-major matrix
+      * is required, you can copy it again:
+      * \code
+      * SparseMatrix<double>          R  = qr.matrixR();  // column-major, not sorted!
+      * SparseMatrix<double,RowMajor> Rr = qr.matrixR();  // row-major, sorted
+      * SparseMatrix<double>          Rc = Rr;            // column-major, sorted
+      * \endcode
+      */
+    const QRMatrixType& matrixR() const { return m_R; }
+    
+    /** \returns the number of non linearly dependent columns as determined by the pivoting threshold.
+      *
+      * \sa setPivotThreshold()
+      */
+    Index rank() const
+    {
+      eigen_assert(m_isInitialized && "The factorization should be called first, use compute()");
+      return m_nonzeropivots; 
+    }
+    
+    /** \returns an expression of the matrix Q as products of sparse Householder reflectors.
+    * The common usage of this function is to apply it to a dense matrix or vector
+    * \code
+    * VectorXd B1, B2;
+    * // Initialize B1
+    * B2 = matrixQ() * B1;
+    * \endcode
+    *
+    * To get a plain SparseMatrix representation of Q:
+    * \code
+    * SparseMatrix<double> Q;
+    * Q = SparseQR<SparseMatrix<double> >(A).matrixQ();
+    * \endcode
+    * Internally, this call simply performs a sparse product between the matrix Q
+    * and a sparse identity matrix. However, due to the fact that the sparse
+    * reflectors are stored unsorted, two transpositions are needed to sort
+    * them before performing the product.
+    */
+    SparseQRMatrixQReturnType<SparseQR> matrixQ() const 
+    { return SparseQRMatrixQReturnType<SparseQR>(*this); }
+    
+    /** \returns a const reference to the column permutation P that was applied to A such that A*P = Q*R
+      * It is the combination of the fill-in reducing permutation and numerical column pivoting.
+      */
+    const PermutationType& colsPermutation() const
+    { 
+      eigen_assert(m_isInitialized && "Decomposition is not initialized.");
+      return m_outputPerm_c;
+    }
+    
+    /** \returns A string describing the type of error.
+      * This method is provided to ease debugging, not to handle errors.
+      */
+    std::string lastErrorMessage() const { return m_lastError; }
+    
+    /** \internal */
+    template<typename Rhs, typename Dest>
+    bool _solve_impl(const MatrixBase<Rhs> &B, MatrixBase<Dest> &dest) const
+    {
+      eigen_assert(m_isInitialized && "The factorization should be called first, use compute()");
+      eigen_assert(this->rows() == B.rows() && "SparseQR::solve() : invalid number of rows in the right hand side matrix");
+
+      Index rank = this->rank();
+      
+      // Compute Q^* * b;
+      typename Dest::PlainObject y, b;
+      y = this->matrixQ().adjoint() * B;
+      b = y;
+      
+      // Solve with the triangular matrix R
+      y.resize((std::max<Index>)(cols(),y.rows()),y.cols());
+      y.topRows(rank) = this->matrixR().topLeftCorner(rank, rank).template triangularView<Upper>().solve(b.topRows(rank));
+      y.bottomRows(y.rows()-rank).setZero();
+      
+      // Apply the column permutation
+      if (m_perm_c.size())  dest = colsPermutation() * y.topRows(cols());
+      else                  dest = y.topRows(cols());
+      
+      m_info = Success;
+      return true;
+    }
+
+    /** Sets the threshold that is used to determine linearly dependent columns during the factorization.
+      *
+      * In practice, if during the factorization the norm of the column that has to be eliminated is below
+      * this threshold, then the entire column is treated as zero, and it is moved at the end.
+      */
+    void setPivotThreshold(const RealScalar& threshold)
+    {
+      m_useDefaultThreshold = false;
+      m_threshold = threshold;
+    }
+    
+    /** \returns the solution X of \f$ A X = B \f$ using the current decomposition of A.
+      *
+      * \sa compute()
+      */
+    template<typename Rhs>
+    inline const Solve<SparseQR, Rhs> solve(const MatrixBase<Rhs>& B) const 
+    {
+      eigen_assert(m_isInitialized && "The factorization should be called first, use compute()");
+      eigen_assert(this->rows() == B.rows() && "SparseQR::solve() : invalid number of rows in the right hand side matrix");
+      return Solve<SparseQR, Rhs>(*this, B.derived());
+    }
+    template<typename Rhs>
+    inline const Solve<SparseQR, Rhs> solve(const SparseMatrixBase<Rhs>& B) const
+    {
+          eigen_assert(m_isInitialized && "The factorization should be called first, use compute()");
+          eigen_assert(this->rows() == B.rows() && "SparseQR::solve() : invalid number of rows in the right hand side matrix");
+          return Solve<SparseQR, Rhs>(*this, B.derived());
+    }
+    
+    /** \brief Reports whether previous computation was successful.
+      *
+      * \returns \c Success if computation was successful,
+      *          \c NumericalIssue if the QR factorization reports a numerical problem
+      *          \c InvalidInput if the input matrix is invalid
+      *
+      * \sa iparm()          
+      */
+    ComputationInfo info() const
+    {
+      eigen_assert(m_isInitialized && "Decomposition is not initialized.");
+      return m_info;
+    }
+
+
+    /** \internal */
+    inline void _sort_matrix_Q()
+    {
+      if(this->m_isQSorted) return;
+      // The matrix Q is sorted during the transposition
+      SparseMatrix<Scalar, RowMajor, Index> mQrm(this->m_Q);
+      this->m_Q = mQrm;
+      this->m_isQSorted = true;
+    }
+
+    
+  protected:
+    bool m_analysisIsok;
+    bool m_factorizationIsok;
+    mutable ComputationInfo m_info;
+    std::string m_lastError;
+    QRMatrixType m_pmat;            // Temporary matrix
+    QRMatrixType m_R;               // The triangular factor matrix
+    QRMatrixType m_Q;               // The orthogonal reflectors
+    ScalarVector m_hcoeffs;         // The Householder coefficients
+    PermutationType m_perm_c;       // Fill-reducing  Column  permutation
+    PermutationType m_pivotperm;    // The permutation for rank revealing
+    PermutationType m_outputPerm_c; // The final column permutation
+    RealScalar m_threshold;         // Threshold to determine null Householder reflections
+    bool m_useDefaultThreshold;     // Use default threshold
+    Index m_nonzeropivots;          // Number of non zero pivots found
+    IndexVector m_etree;            // Column elimination tree
+    IndexVector m_firstRowElt;      // First element in each row
+    bool m_isQSorted;               // whether Q is sorted or not
+    bool m_isEtreeOk;               // whether the elimination tree match the initial input matrix
+    
+    template <typename, typename > friend struct SparseQR_QProduct;
+    
+};
+
+/** \brief Preprocessing step of a QR factorization 
+  * 
+  * \warning The matrix \a mat must be in compressed mode (see SparseMatrix::makeCompressed()).
+  * 
+  * In this step, the fill-reducing permutation is computed and applied to the columns of A
+  * and the column elimination tree is computed as well. Only the sparsity pattern of \a mat is exploited.
+  * 
+  * \note In this step it is assumed that there is no empty row in the matrix \a mat.
+  */
+template <typename MatrixType, typename OrderingType>
+void SparseQR<MatrixType,OrderingType>::analyzePattern(const MatrixType& mat)
+{
+  eigen_assert(mat.isCompressed() && "SparseQR requires a sparse matrix in compressed mode. Call .makeCompressed() before passing it to SparseQR");
+  // Copy to a column major matrix if the input is rowmajor
+  typename internal::conditional<MatrixType::IsRowMajor,QRMatrixType,const MatrixType&>::type matCpy(mat);
+  // Compute the column fill reducing ordering
+  OrderingType ord; 
+  ord(matCpy, m_perm_c); 
+  Index n = mat.cols();
+  Index m = mat.rows();
+  Index diagSize = (std::min)(m,n);
+  
+  if (!m_perm_c.size())
+  {
+    m_perm_c.resize(n);
+    m_perm_c.indices().setLinSpaced(n, 0,StorageIndex(n-1));
+  }
+  
+  // Compute the column elimination tree of the permuted matrix
+  m_outputPerm_c = m_perm_c.inverse();
+  internal::coletree(matCpy, m_etree, m_firstRowElt, m_outputPerm_c.indices().data());
+  m_isEtreeOk = true;
+  
+  m_R.resize(m, n);
+  m_Q.resize(m, diagSize);
+  
+  // Allocate space for nonzero elements : rough estimation
+  m_R.reserve(2*mat.nonZeros()); //FIXME Get a more accurate estimation through symbolic factorization with the etree
+  m_Q.reserve(2*mat.nonZeros());
+  m_hcoeffs.resize(diagSize);
+  m_analysisIsok = true;
+}
+
+/** \brief Performs the numerical QR factorization of the input matrix
+  * 
+  * The function SparseQR::analyzePattern(const MatrixType&) must have been called beforehand with
+  * a matrix having the same sparsity pattern than \a mat.
+  * 
+  * \param mat The sparse column-major matrix
+  */
+template <typename MatrixType, typename OrderingType>
+void SparseQR<MatrixType,OrderingType>::factorize(const MatrixType& mat)
+{
+  using std::abs;
+  
+  eigen_assert(m_analysisIsok && "analyzePattern() should be called before this step");
+  StorageIndex m = StorageIndex(mat.rows());
+  StorageIndex n = StorageIndex(mat.cols());
+  StorageIndex diagSize = (std::min)(m,n);
+  IndexVector mark((std::max)(m,n)); mark.setConstant(-1);  // Record the visited nodes
+  IndexVector Ridx(n), Qidx(m);                             // Store temporarily the row indexes for the current column of R and Q
+  Index nzcolR, nzcolQ;                                     // Number of nonzero for the current column of R and Q
+  ScalarVector tval(m);                                     // The dense vector used to compute the current column
+  RealScalar pivotThreshold = m_threshold;
+  
+  m_R.setZero();
+  m_Q.setZero();
+  m_pmat = mat;
+  if(!m_isEtreeOk)
+  {
+    m_outputPerm_c = m_perm_c.inverse();
+    internal::coletree(m_pmat, m_etree, m_firstRowElt, m_outputPerm_c.indices().data());
+    m_isEtreeOk = true;
+  }
+
+  m_pmat.uncompress(); // To have the innerNonZeroPtr allocated
+  
+  // Apply the fill-in reducing permutation lazily:
+  {
+    // If the input is row major, copy the original column indices,
+    // otherwise directly use the input matrix
+    // 
+    IndexVector originalOuterIndicesCpy;
+    const StorageIndex *originalOuterIndices = mat.outerIndexPtr();
+    if(MatrixType::IsRowMajor)
+    {
+      originalOuterIndicesCpy = IndexVector::Map(m_pmat.outerIndexPtr(),n+1);
+      originalOuterIndices = originalOuterIndicesCpy.data();
+    }
+    
+    for (int i = 0; i < n; i++)
+    {
+      Index p = m_perm_c.size() ? m_perm_c.indices()(i) : i;
+      m_pmat.outerIndexPtr()[p] = originalOuterIndices[i]; 
+      m_pmat.innerNonZeroPtr()[p] = originalOuterIndices[i+1] - originalOuterIndices[i]; 
+    }
+  }
+  
+  /* Compute the default threshold as in MatLab, see:
+   * Tim Davis, "Algorithm 915, SuiteSparseQR: Multifrontal Multithreaded Rank-Revealing
+   * Sparse QR Factorization, ACM Trans. on Math. Soft. 38(1), 2011, Page 8:3 
+   */
+  if(m_useDefaultThreshold) 
+  {
+    RealScalar max2Norm = 0.0;
+    for (int j = 0; j < n; j++) max2Norm = numext::maxi(max2Norm, m_pmat.col(j).norm());
+    if(max2Norm==RealScalar(0))
+      max2Norm = RealScalar(1);
+    pivotThreshold = 20 * (m + n) * max2Norm * NumTraits<RealScalar>::epsilon();
+  }
+  
+  // Initialize the numerical permutation
+  m_pivotperm.setIdentity(n);
+  
+  StorageIndex nonzeroCol = 0; // Record the number of valid pivots
+  m_Q.startVec(0);
+
+  // Left looking rank-revealing QR factorization: compute a column of R and Q at a time
+  for (StorageIndex col = 0; col < n; ++col)
+  {
+    mark.setConstant(-1);
+    m_R.startVec(col);
+    mark(nonzeroCol) = col;
+    Qidx(0) = nonzeroCol;
+    nzcolR = 0; nzcolQ = 1;
+    bool found_diag = nonzeroCol>=m;
+    tval.setZero(); 
+    
+    // Symbolic factorization: find the nonzero locations of the column k of the factors R and Q, i.e.,
+    // all the nodes (with indexes lower than rank) reachable through the column elimination tree (etree) rooted at node k.
+    // Note: if the diagonal entry does not exist, then its contribution must be explicitly added,
+    // thus the trick with found_diag that permits to do one more iteration on the diagonal element if this one has not been found.
+    for (typename QRMatrixType::InnerIterator itp(m_pmat, col); itp || !found_diag; ++itp)
+    {
+      StorageIndex curIdx = nonzeroCol;
+      if(itp) curIdx = StorageIndex(itp.row());
+      if(curIdx == nonzeroCol) found_diag = true;
+      
+      // Get the nonzeros indexes of the current column of R
+      StorageIndex st = m_firstRowElt(curIdx); // The traversal of the etree starts here
+      if (st < 0 )
+      {
+        m_lastError = "Empty row found during numerical factorization";
+        m_info = InvalidInput;
+        return;
+      }
+
+      // Traverse the etree 
+      Index bi = nzcolR;
+      for (; mark(st) != col; st = m_etree(st))
+      {
+        Ridx(nzcolR) = st;  // Add this row to the list,
+        mark(st) = col;     // and mark this row as visited
+        nzcolR++;
+      }
+
+      // Reverse the list to get the topological ordering
+      Index nt = nzcolR-bi;
+      for(Index i = 0; i < nt/2; i++) std::swap(Ridx(bi+i), Ridx(nzcolR-i-1));
+       
+      // Copy the current (curIdx,pcol) value of the input matrix
+      if(itp) tval(curIdx) = itp.value();
+      else    tval(curIdx) = Scalar(0);
+      
+      // Compute the pattern of Q(:,k)
+      if(curIdx > nonzeroCol && mark(curIdx) != col ) 
+      {
+        Qidx(nzcolQ) = curIdx;  // Add this row to the pattern of Q,
+        mark(curIdx) = col;     // and mark it as visited
+        nzcolQ++;
+      }
+    }
+
+    // Browse all the indexes of R(:,col) in reverse order
+    for (Index i = nzcolR-1; i >= 0; i--)
+    {
+      Index curIdx = Ridx(i);
+      
+      // Apply the curIdx-th householder vector to the current column (temporarily stored into tval)
+      Scalar tdot(0);
+      
+      // First compute q' * tval
+      tdot = m_Q.col(curIdx).dot(tval);
+
+      tdot *= m_hcoeffs(curIdx);
+      
+      // Then update tval = tval - q * tau
+      // FIXME: tval -= tdot * m_Q.col(curIdx) should amount to the same (need to check/add support for efficient "dense ?= sparse")
+      for (typename QRMatrixType::InnerIterator itq(m_Q, curIdx); itq; ++itq)
+        tval(itq.row()) -= itq.value() * tdot;
+
+      // Detect fill-in for the current column of Q
+      if(m_etree(Ridx(i)) == nonzeroCol)
+      {
+        for (typename QRMatrixType::InnerIterator itq(m_Q, curIdx); itq; ++itq)
+        {
+          StorageIndex iQ = StorageIndex(itq.row());
+          if (mark(iQ) != col)
+          {
+            Qidx(nzcolQ++) = iQ;  // Add this row to the pattern of Q,
+            mark(iQ) = col;       // and mark it as visited
+          }
+        }
+      }
+    } // End update current column
+    
+    Scalar tau = RealScalar(0);
+    RealScalar beta = 0;
+    
+    if(nonzeroCol < diagSize)
+    {
+      // Compute the Householder reflection that eliminate the current column
+      // FIXME this step should call the Householder module.
+      Scalar c0 = nzcolQ ? tval(Qidx(0)) : Scalar(0);
+      
+      // First, the squared norm of Q((col+1):m, col)
+      RealScalar sqrNorm = 0.;
+      for (Index itq = 1; itq < nzcolQ; ++itq) sqrNorm += numext::abs2(tval(Qidx(itq)));
+      if(sqrNorm == RealScalar(0) && numext::imag(c0) == RealScalar(0))
+      {
+        beta = numext::real(c0);
+        tval(Qidx(0)) = 1;
+      }
+      else
+      {
+        using std::sqrt;
+        beta = sqrt(numext::abs2(c0) + sqrNorm);
+        if(numext::real(c0) >= RealScalar(0))
+          beta = -beta;
+        tval(Qidx(0)) = 1;
+        for (Index itq = 1; itq < nzcolQ; ++itq)
+          tval(Qidx(itq)) /= (c0 - beta);
+        tau = numext::conj((beta-c0) / beta);
+          
+      }
+    }
+
+    // Insert values in R
+    for (Index  i = nzcolR-1; i >= 0; i--)
+    {
+      Index curIdx = Ridx(i);
+      if(curIdx < nonzeroCol) 
+      {
+        m_R.insertBackByOuterInnerUnordered(col, curIdx) = tval(curIdx);
+        tval(curIdx) = Scalar(0.);
+      }
+    }
+
+    if(nonzeroCol < diagSize && abs(beta) >= pivotThreshold)
+    {
+      m_R.insertBackByOuterInner(col, nonzeroCol) = beta;
+      // The householder coefficient
+      m_hcoeffs(nonzeroCol) = tau;
+      // Record the householder reflections
+      for (Index itq = 0; itq < nzcolQ; ++itq)
+      {
+        Index iQ = Qidx(itq);
+        m_Q.insertBackByOuterInnerUnordered(nonzeroCol,iQ) = tval(iQ);
+        tval(iQ) = Scalar(0.);
+      }
+      nonzeroCol++;
+      if(nonzeroCol<diagSize)
+        m_Q.startVec(nonzeroCol);
+    }
+    else
+    {
+      // Zero pivot found: move implicitly this column to the end
+      for (Index j = nonzeroCol; j < n-1; j++) 
+        std::swap(m_pivotperm.indices()(j), m_pivotperm.indices()[j+1]);
+      
+      // Recompute the column elimination tree
+      internal::coletree(m_pmat, m_etree, m_firstRowElt, m_pivotperm.indices().data());
+      m_isEtreeOk = false;
+    }
+  }
+  
+  m_hcoeffs.tail(diagSize-nonzeroCol).setZero();
+  
+  // Finalize the column pointers of the sparse matrices R and Q
+  m_Q.finalize();
+  m_Q.makeCompressed();
+  m_R.finalize();
+  m_R.makeCompressed();
+  m_isQSorted = false;
+
+  m_nonzeropivots = nonzeroCol;
+  
+  if(nonzeroCol<n)
+  {
+    // Permute the triangular factor to put the 'dead' columns to the end
+    QRMatrixType tempR(m_R);
+    m_R = tempR * m_pivotperm;
+    
+    // Update the column permutation
+    m_outputPerm_c = m_outputPerm_c * m_pivotperm;
+  }
+  
+  m_isInitialized = true; 
+  m_factorizationIsok = true;
+  m_info = Success;
+}
+
+template <typename SparseQRType, typename Derived>
+struct SparseQR_QProduct : ReturnByValue<SparseQR_QProduct<SparseQRType, Derived> >
+{
+  typedef typename SparseQRType::QRMatrixType MatrixType;
+  typedef typename SparseQRType::Scalar Scalar;
+  // Get the references 
+  SparseQR_QProduct(const SparseQRType& qr, const Derived& other, bool transpose) : 
+  m_qr(qr),m_other(other),m_transpose(transpose) {}
+  inline Index rows() const { return m_qr.matrixQ().rows(); }
+  inline Index cols() const { return m_other.cols(); }
+  
+  // Assign to a vector
+  template<typename DesType>
+  void evalTo(DesType& res) const
+  {
+    Index m = m_qr.rows();
+    Index n = m_qr.cols();
+    Index diagSize = (std::min)(m,n);
+    res = m_other;
+    if (m_transpose)
+    {
+      eigen_assert(m_qr.m_Q.rows() == m_other.rows() && "Non conforming object sizes");
+      //Compute res = Q' * other column by column
+      for(Index j = 0; j < res.cols(); j++){
+        for (Index k = 0; k < diagSize; k++)
+        {
+          Scalar tau = Scalar(0);
+          tau = m_qr.m_Q.col(k).dot(res.col(j));
+          if(tau==Scalar(0)) continue;
+          tau = tau * m_qr.m_hcoeffs(k);
+          res.col(j) -= tau * m_qr.m_Q.col(k);
+        }
+      }
+    }
+    else
+    {
+      eigen_assert(m_qr.matrixQ().cols() == m_other.rows() && "Non conforming object sizes");
+
+      res.conservativeResize(rows(), cols());
+
+      // Compute res = Q * other column by column
+      for(Index j = 0; j < res.cols(); j++)
+      {
+        for (Index k = diagSize-1; k >=0; k--)
+        {
+          Scalar tau = Scalar(0);
+          tau = m_qr.m_Q.col(k).dot(res.col(j));
+          if(tau==Scalar(0)) continue;
+          tau = tau * numext::conj(m_qr.m_hcoeffs(k));
+          res.col(j) -= tau * m_qr.m_Q.col(k);
+        }
+      }
+    }
+  }
+  
+  const SparseQRType& m_qr;
+  const Derived& m_other;
+  bool m_transpose; // TODO this actually means adjoint
+};
+
+template<typename SparseQRType>
+struct SparseQRMatrixQReturnType : public EigenBase<SparseQRMatrixQReturnType<SparseQRType> >
+{  
+  typedef typename SparseQRType::Scalar Scalar;
+  typedef Matrix<Scalar,Dynamic,Dynamic> DenseMatrix;
+  enum {
+    RowsAtCompileTime = Dynamic,
+    ColsAtCompileTime = Dynamic
+  };
+  explicit SparseQRMatrixQReturnType(const SparseQRType& qr) : m_qr(qr) {}
+  template<typename Derived>
+  SparseQR_QProduct<SparseQRType, Derived> operator*(const MatrixBase<Derived>& other)
+  {
+    return SparseQR_QProduct<SparseQRType,Derived>(m_qr,other.derived(),false);
+  }
+  // To use for operations with the adjoint of Q
+  SparseQRMatrixQTransposeReturnType<SparseQRType> adjoint() const
+  {
+    return SparseQRMatrixQTransposeReturnType<SparseQRType>(m_qr);
+  }
+  inline Index rows() const { return m_qr.rows(); }
+  inline Index cols() const { return m_qr.rows(); }
+  // To use for operations with the transpose of Q FIXME this is the same as adjoint at the moment
+  SparseQRMatrixQTransposeReturnType<SparseQRType> transpose() const
+  {
+    return SparseQRMatrixQTransposeReturnType<SparseQRType>(m_qr);
+  }
+  const SparseQRType& m_qr;
+};
+
+// TODO this actually represents the adjoint of Q
+template<typename SparseQRType>
+struct SparseQRMatrixQTransposeReturnType
+{
+  explicit SparseQRMatrixQTransposeReturnType(const SparseQRType& qr) : m_qr(qr) {}
+  template<typename Derived>
+  SparseQR_QProduct<SparseQRType,Derived> operator*(const MatrixBase<Derived>& other)
+  {
+    return SparseQR_QProduct<SparseQRType,Derived>(m_qr,other.derived(), true);
+  }
+  const SparseQRType& m_qr;
+};
+
+namespace internal {
+  
+template<typename SparseQRType>
+struct evaluator_traits<SparseQRMatrixQReturnType<SparseQRType> >
+{
+  typedef typename SparseQRType::MatrixType MatrixType;
+  typedef typename storage_kind_to_evaluator_kind<typename MatrixType::StorageKind>::Kind Kind;
+  typedef SparseShape Shape;
+};
+
+template< typename DstXprType, typename SparseQRType>
+struct Assignment<DstXprType, SparseQRMatrixQReturnType<SparseQRType>, internal::assign_op<typename DstXprType::Scalar,typename DstXprType::Scalar>, Sparse2Sparse>
+{
+  typedef SparseQRMatrixQReturnType<SparseQRType> SrcXprType;
+  typedef typename DstXprType::Scalar Scalar;
+  typedef typename DstXprType::StorageIndex StorageIndex;
+  static void run(DstXprType &dst, const SrcXprType &src, const internal::assign_op<Scalar,Scalar> &/*func*/)
+  {
+    typename DstXprType::PlainObject idMat(src.rows(), src.cols());
+    idMat.setIdentity();
+    // Sort the sparse householder reflectors if needed
+    const_cast<SparseQRType *>(&src.m_qr)->_sort_matrix_Q();
+    dst = SparseQR_QProduct<SparseQRType, DstXprType>(src.m_qr, idMat, false);
+  }
+};
+
+template< typename DstXprType, typename SparseQRType>
+struct Assignment<DstXprType, SparseQRMatrixQReturnType<SparseQRType>, internal::assign_op<typename DstXprType::Scalar,typename DstXprType::Scalar>, Sparse2Dense>
+{
+  typedef SparseQRMatrixQReturnType<SparseQRType> SrcXprType;
+  typedef typename DstXprType::Scalar Scalar;
+  typedef typename DstXprType::StorageIndex StorageIndex;
+  static void run(DstXprType &dst, const SrcXprType &src, const internal::assign_op<Scalar,Scalar> &/*func*/)
+  {
+    dst = src.m_qr.matrixQ() * DstXprType::Identity(src.m_qr.rows(), src.m_qr.rows());
+  }
+};
+
+} // end namespace internal
+
+} // end namespace Eigen
+
+#endif
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/IterativeLinearSolvers/IncompleteCholesky.h
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/IterativeLinearSolvers/IncompleteCholesky.h	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/IterativeLinearSolvers/IncompleteCholesky.h	(revision 3761)
@@ -0,0 +1,400 @@
+// This file is part of Eigen, a lightweight C++ template library
+// for linear algebra.
+//
+// Copyright (C) 2012 DÃ©sirÃ© Nuentsa-Wakam <desire.nuentsa_wakam@inria.fr>
+// Copyright (C) 2015 Gael Guennebaud <gael.guennebaud@inria.fr>
+//
+// This Source Code Form is subject to the terms of the Mozilla
+// Public License v. 2.0. If a copy of the MPL was not distributed
+// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
+
+#ifndef EIGEN_INCOMPLETE_CHOlESKY_H
+#define EIGEN_INCOMPLETE_CHOlESKY_H
+
+#include <vector>
+#include <list>
+
+namespace Eigen {  
+/** 
+  * \brief Modified Incomplete Cholesky with dual threshold
+  *
+  * References : C-J. Lin and J. J. MorÃ©, Incomplete Cholesky Factorizations with
+  *              Limited memory, SIAM J. Sci. Comput.  21(1), pp. 24-45, 1999
+  *
+  * \tparam Scalar the scalar type of the input matrices
+  * \tparam _UpLo The triangular part that will be used for the computations. It can be Lower
+    *               or Upper. Default is Lower.
+  * \tparam _OrderingType The ordering method to use, either AMDOrdering<> or NaturalOrdering<>. Default is AMDOrdering<int>,
+  *                       unless EIGEN_MPL2_ONLY is defined, in which case the default is NaturalOrdering<int>.
+  *
+  * \implsparsesolverconcept
+  *
+  * It performs the following incomplete factorization: \f$ S P A P' S \approx L L' \f$
+  * where L is a lower triangular factor, S is a diagonal scaling matrix, and P is a
+  * fill-in reducing permutation as computed by the ordering method.
+  *
+  * \b Shifting \b strategy: Let \f$ B = S P A P' S \f$  be the scaled matrix on which the factorization is carried out,
+  * and \f$ \beta \f$ be the minimum value of the diagonal. If \f$ \beta > 0 \f$ then, the factorization is directly performed
+  * on the matrix B. Otherwise, the factorization is performed on the shifted matrix \f$ B + (\sigma+|\beta| I \f$ where
+  * \f$ \sigma \f$ is the initial shift value as returned and set by setInitialShift() method. The default value is \f$ \sigma = 10^{-3} \f$.
+  * If the factorization fails, then the shift in doubled until it succeed or a maximum of ten attempts. If it still fails, as returned by
+  * the info() method, then you can either increase the initial shift, or better use another preconditioning technique.
+  *
+  */
+template <typename Scalar, int _UpLo = Lower, typename _OrderingType =
+#ifndef EIGEN_MPL2_ONLY
+AMDOrdering<int>
+#else
+NaturalOrdering<int>
+#endif
+>
+class IncompleteCholesky : public SparseSolverBase<IncompleteCholesky<Scalar,_UpLo,_OrderingType> >
+{
+  protected:
+    typedef SparseSolverBase<IncompleteCholesky<Scalar,_UpLo,_OrderingType> > Base;
+    using Base::m_isInitialized;
+  public:
+    typedef typename NumTraits<Scalar>::Real RealScalar; 
+    typedef _OrderingType OrderingType;
+    typedef typename OrderingType::PermutationType PermutationType;
+    typedef typename PermutationType::StorageIndex StorageIndex; 
+    typedef SparseMatrix<Scalar,ColMajor,StorageIndex> FactorType;
+    typedef Matrix<Scalar,Dynamic,1> VectorSx;
+    typedef Matrix<RealScalar,Dynamic,1> VectorRx;
+    typedef Matrix<StorageIndex,Dynamic, 1> VectorIx;
+    typedef std::vector<std::list<StorageIndex> > VectorList; 
+    enum { UpLo = _UpLo };
+    enum {
+      ColsAtCompileTime = Dynamic,
+      MaxColsAtCompileTime = Dynamic
+    };
+  public:
+
+    /** Default constructor leaving the object in a partly non-initialized stage.
+      *
+      * You must call compute() or the pair analyzePattern()/factorize() to make it valid.
+      *
+      * \sa IncompleteCholesky(const MatrixType&)
+      */
+    IncompleteCholesky() : m_initialShift(1e-3),m_factorizationIsOk(false) {}
+    
+    /** Constructor computing the incomplete factorization for the given matrix \a matrix.
+      */
+    template<typename MatrixType>
+    IncompleteCholesky(const MatrixType& matrix) : m_initialShift(1e-3),m_factorizationIsOk(false)
+    {
+      compute(matrix);
+    }
+    
+    /** \returns number of rows of the factored matrix */
+    Index rows() const { return m_L.rows(); }
+    
+    /** \returns number of columns of the factored matrix */
+    Index cols() const { return m_L.cols(); }
+    
+
+    /** \brief Reports whether previous computation was successful.
+      *
+      * It triggers an assertion if \c *this has not been initialized through the respective constructor,
+      * or a call to compute() or analyzePattern().
+      *
+      * \returns \c Success if computation was successful,
+      *          \c NumericalIssue if the matrix appears to be negative.
+      */
+    ComputationInfo info() const
+    {
+      eigen_assert(m_isInitialized && "IncompleteCholesky is not initialized.");
+      return m_info;
+    }
+    
+    /** \brief Set the initial shift parameter \f$ \sigma \f$.
+      */
+    void setInitialShift(RealScalar shift) { m_initialShift = shift; }
+    
+    /** \brief Computes the fill reducing permutation vector using the sparsity pattern of \a mat
+      */
+    template<typename MatrixType>
+    void analyzePattern(const MatrixType& mat)
+    {
+      OrderingType ord; 
+      PermutationType pinv;
+      ord(mat.template selfadjointView<UpLo>(), pinv); 
+      if(pinv.size()>0) m_perm = pinv.inverse();
+      else              m_perm.resize(0);
+      m_L.resize(mat.rows(), mat.cols());
+      m_analysisIsOk = true;
+      m_isInitialized = true;
+      m_info = Success;
+    }
+    
+    /** \brief Performs the numerical factorization of the input matrix \a mat
+      *
+      * The method analyzePattern() or compute() must have been called beforehand
+      * with a matrix having the same pattern.
+      *
+      * \sa compute(), analyzePattern()
+      */
+    template<typename MatrixType>
+    void factorize(const MatrixType& mat);
+    
+    /** Computes or re-computes the incomplete Cholesky factorization of the input matrix \a mat
+      *
+      * It is a shortcut for a sequential call to the analyzePattern() and factorize() methods.
+      *
+      * \sa analyzePattern(), factorize()
+      */
+    template<typename MatrixType>
+    void compute(const MatrixType& mat)
+    {
+      analyzePattern(mat);
+      factorize(mat);
+    }
+    
+    // internal
+    template<typename Rhs, typename Dest>
+    void _solve_impl(const Rhs& b, Dest& x) const
+    {
+      eigen_assert(m_factorizationIsOk && "factorize() should be called first");
+      if (m_perm.rows() == b.rows())  x = m_perm * b;
+      else                            x = b;
+      x = m_scale.asDiagonal() * x;
+      x = m_L.template triangularView<Lower>().solve(x);
+      x = m_L.adjoint().template triangularView<Upper>().solve(x);
+      x = m_scale.asDiagonal() * x;
+      if (m_perm.rows() == b.rows())
+        x = m_perm.inverse() * x;
+    }
+
+    /** \returns the sparse lower triangular factor L */
+    const FactorType& matrixL() const { eigen_assert("m_factorizationIsOk"); return m_L; }
+
+    /** \returns a vector representing the scaling factor S */
+    const VectorRx& scalingS() const { eigen_assert("m_factorizationIsOk"); return m_scale; }
+
+    /** \returns the fill-in reducing permutation P (can be empty for a natural ordering) */
+    const PermutationType& permutationP() const { eigen_assert("m_analysisIsOk"); return m_perm; }
+
+  protected:
+    FactorType m_L;              // The lower part stored in CSC
+    VectorRx m_scale;            // The vector for scaling the matrix 
+    RealScalar m_initialShift;   // The initial shift parameter
+    bool m_analysisIsOk; 
+    bool m_factorizationIsOk; 
+    ComputationInfo m_info;
+    PermutationType m_perm; 
+
+  private:
+    inline void updateList(Ref<const VectorIx> colPtr, Ref<VectorIx> rowIdx, Ref<VectorSx> vals, const Index& col, const Index& jk, VectorIx& firstElt, VectorList& listCol); 
+}; 
+
+// Based on the following paper:
+//   C-J. Lin and J. J. MorÃ©, Incomplete Cholesky Factorizations with
+//   Limited memory, SIAM J. Sci. Comput.  21(1), pp. 24-45, 1999
+//   http://ftp.mcs.anl.gov/pub/tech_reports/reports/P682.pdf
+template<typename Scalar, int _UpLo, typename OrderingType>
+template<typename _MatrixType>
+void IncompleteCholesky<Scalar,_UpLo, OrderingType>::factorize(const _MatrixType& mat)
+{
+  using std::sqrt;
+  eigen_assert(m_analysisIsOk && "analyzePattern() should be called first"); 
+    
+  // Dropping strategy : Keep only the p largest elements per column, where p is the number of elements in the column of the original matrix. Other strategies will be added
+  
+  // Apply the fill-reducing permutation computed in analyzePattern()
+  if (m_perm.rows() == mat.rows() ) // To detect the null permutation
+  {
+    // The temporary is needed to make sure that the diagonal entry is properly sorted
+    FactorType tmp(mat.rows(), mat.cols());
+    tmp = mat.template selfadjointView<_UpLo>().twistedBy(m_perm);
+    m_L.template selfadjointView<Lower>() = tmp.template selfadjointView<Lower>();
+  }
+  else
+  {
+    m_L.template selfadjointView<Lower>() = mat.template selfadjointView<_UpLo>();
+  }
+  
+  Index n = m_L.cols(); 
+  Index nnz = m_L.nonZeros();
+  Map<VectorSx> vals(m_L.valuePtr(), nnz);         //values
+  Map<VectorIx> rowIdx(m_L.innerIndexPtr(), nnz);  //Row indices
+  Map<VectorIx> colPtr( m_L.outerIndexPtr(), n+1); // Pointer to the beginning of each row
+  VectorIx firstElt(n-1); // for each j, points to the next entry in vals that will be used in the factorization
+  VectorList listCol(n);  // listCol(j) is a linked list of columns to update column j
+  VectorSx col_vals(n);   // Store a  nonzero values in each column
+  VectorIx col_irow(n);   // Row indices of nonzero elements in each column
+  VectorIx col_pattern(n);
+  col_pattern.fill(-1);
+  StorageIndex col_nnz;
+  
+  
+  // Computes the scaling factors 
+  m_scale.resize(n);
+  m_scale.setZero();
+  for (Index j = 0; j < n; j++)
+    for (Index k = colPtr[j]; k < colPtr[j+1]; k++)
+    {
+      m_scale(j) += numext::abs2(vals(k));
+      if(rowIdx[k]!=j)
+        m_scale(rowIdx[k]) += numext::abs2(vals(k));
+    }
+  
+  m_scale = m_scale.cwiseSqrt().cwiseSqrt();
+
+  for (Index j = 0; j < n; ++j)
+    if(m_scale(j)>(std::numeric_limits<RealScalar>::min)())
+      m_scale(j) = RealScalar(1)/m_scale(j);
+    else
+      m_scale(j) = 1;
+
+  // TODO disable scaling if not needed, i.e., if it is roughly uniform? (this will make solve() faster)
+  
+  // Scale and compute the shift for the matrix 
+  RealScalar mindiag = NumTraits<RealScalar>::highest();
+  for (Index j = 0; j < n; j++)
+  {
+    for (Index k = colPtr[j]; k < colPtr[j+1]; k++)
+      vals[k] *= (m_scale(j)*m_scale(rowIdx[k]));
+    eigen_internal_assert(rowIdx[colPtr[j]]==j && "IncompleteCholesky: only the lower triangular part must be stored");
+    mindiag = numext::mini(numext::real(vals[colPtr[j]]), mindiag);
+  }
+
+  FactorType L_save = m_L;
+  
+  RealScalar shift = 0;
+  if(mindiag <= RealScalar(0.))
+    shift = m_initialShift - mindiag;
+
+  m_info = NumericalIssue;
+
+  // Try to perform the incomplete factorization using the current shift
+  int iter = 0;
+  do
+  {
+    // Apply the shift to the diagonal elements of the matrix
+    for (Index j = 0; j < n; j++)
+      vals[colPtr[j]] += shift;
+
+    // jki version of the Cholesky factorization
+    Index j=0;
+    for (; j < n; ++j)
+    {
+      // Left-looking factorization of the j-th column
+      // First, load the j-th column into col_vals
+      Scalar diag = vals[colPtr[j]];  // It is assumed that only the lower part is stored
+      col_nnz = 0;
+      for (Index i = colPtr[j] + 1; i < colPtr[j+1]; i++)
+      {
+        StorageIndex l = rowIdx[i];
+        col_vals(col_nnz) = vals[i];
+        col_irow(col_nnz) = l;
+        col_pattern(l) = col_nnz;
+        col_nnz++;
+      }
+      {
+        typename std::list<StorageIndex>::iterator k;
+        // Browse all previous columns that will update column j
+        for(k = listCol[j].begin(); k != listCol[j].end(); k++)
+        {
+          Index jk = firstElt(*k); // First element to use in the column
+          eigen_internal_assert(rowIdx[jk]==j);
+          Scalar v_j_jk = numext::conj(vals[jk]);
+
+          jk += 1;
+          for (Index i = jk; i < colPtr[*k+1]; i++)
+          {
+            StorageIndex l = rowIdx[i];
+            if(col_pattern[l]<0)
+            {
+              col_vals(col_nnz) = vals[i] * v_j_jk;
+              col_irow[col_nnz] = l;
+              col_pattern(l) = col_nnz;
+              col_nnz++;
+            }
+            else
+              col_vals(col_pattern[l]) -= vals[i] * v_j_jk;
+          }
+          updateList(colPtr,rowIdx,vals, *k, jk, firstElt, listCol);
+        }
+      }
+
+      // Scale the current column
+      if(numext::real(diag) <= 0)
+      {
+        if(++iter>=10)
+          return;
+
+        // increase shift
+        shift = numext::maxi(m_initialShift,RealScalar(2)*shift);
+        // restore m_L, col_pattern, and listCol
+        vals = Map<const VectorSx>(L_save.valuePtr(), nnz);
+        rowIdx = Map<const VectorIx>(L_save.innerIndexPtr(), nnz);
+        colPtr = Map<const VectorIx>(L_save.outerIndexPtr(), n+1);
+        col_pattern.fill(-1);
+        for(Index i=0; i<n; ++i)
+          listCol[i].clear();
+
+        break;
+      }
+
+      RealScalar rdiag = sqrt(numext::real(diag));
+      vals[colPtr[j]] = rdiag;
+      for (Index k = 0; k<col_nnz; ++k)
+      {
+        Index i = col_irow[k];
+        //Scale
+        col_vals(k) /= rdiag;
+        //Update the remaining diagonals with col_vals
+        vals[colPtr[i]] -= numext::abs2(col_vals(k));
+      }
+      // Select the largest p elements
+      // p is the original number of elements in the column (without the diagonal)
+      Index p = colPtr[j+1] - colPtr[j] - 1 ;
+      Ref<VectorSx> cvals = col_vals.head(col_nnz);
+      Ref<VectorIx> cirow = col_irow.head(col_nnz);
+      internal::QuickSplit(cvals,cirow, p);
+      // Insert the largest p elements in the matrix
+      Index cpt = 0;
+      for (Index i = colPtr[j]+1; i < colPtr[j+1]; i++)
+      {
+        vals[i] = col_vals(cpt);
+        rowIdx[i] = col_irow(cpt);
+        // restore col_pattern:
+        col_pattern(col_irow(cpt)) = -1;
+        cpt++;
+      }
+      // Get the first smallest row index and put it after the diagonal element
+      Index jk = colPtr(j)+1;
+      updateList(colPtr,rowIdx,vals,j,jk,firstElt,listCol);
+    }
+
+    if(j==n)
+    {
+      m_factorizationIsOk = true;
+      m_info = Success;
+    }
+  } while(m_info!=Success);
+}
+
+template<typename Scalar, int _UpLo, typename OrderingType>
+inline void IncompleteCholesky<Scalar,_UpLo, OrderingType>::updateList(Ref<const VectorIx> colPtr, Ref<VectorIx> rowIdx, Ref<VectorSx> vals, const Index& col, const Index& jk, VectorIx& firstElt, VectorList& listCol)
+{
+  if (jk < colPtr(col+1) )
+  {
+    Index p = colPtr(col+1) - jk;
+    Index minpos; 
+    rowIdx.segment(jk,p).minCoeff(&minpos);
+    minpos += jk;
+    if (rowIdx(minpos) != rowIdx(jk))
+    {
+      //Swap
+      std::swap(rowIdx(jk),rowIdx(minpos));
+      std::swap(vals(jk),vals(minpos));
+    }
+    firstElt(col) = internal::convert_index<StorageIndex,Index>(jk);
+    listCol[rowIdx(jk)].push_back(internal::convert_index<StorageIndex,Index>(col));
+  }
+}
+
+} // end namespace Eigen 
+
+#endif
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/IterativeLinearSolvers/IterativeSolverBase.h
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/IterativeLinearSolvers/IterativeSolverBase.h	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/IterativeLinearSolvers/IterativeSolverBase.h	(revision 3761)
@@ -0,0 +1,394 @@
+// This file is part of Eigen, a lightweight C++ template library
+// for linear algebra.
+//
+// Copyright (C) 2011-2014 Gael Guennebaud <gael.guennebaud@inria.fr>
+//
+// This Source Code Form is subject to the terms of the Mozilla
+// Public License v. 2.0. If a copy of the MPL was not distributed
+// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
+
+#ifndef EIGEN_ITERATIVE_SOLVER_BASE_H
+#define EIGEN_ITERATIVE_SOLVER_BASE_H
+
+namespace Eigen { 
+
+namespace internal {
+
+template<typename MatrixType>
+struct is_ref_compatible_impl
+{
+private:
+  template <typename T0>
+  struct any_conversion
+  {
+    template <typename T> any_conversion(const volatile T&);
+    template <typename T> any_conversion(T&);
+  };
+  struct yes {int a[1];};
+  struct no  {int a[2];};
+
+  template<typename T>
+  static yes test(const Ref<const T>&, int);
+  template<typename T>
+  static no  test(any_conversion<T>, ...);
+
+public:
+  static MatrixType ms_from;
+  enum { value = sizeof(test<MatrixType>(ms_from, 0))==sizeof(yes) };
+};
+
+template<typename MatrixType>
+struct is_ref_compatible
+{
+  enum { value = is_ref_compatible_impl<typename remove_all<MatrixType>::type>::value };
+};
+
+template<typename MatrixType, bool MatrixFree = !internal::is_ref_compatible<MatrixType>::value>
+class generic_matrix_wrapper;
+
+// We have an explicit matrix at hand, compatible with Ref<>
+template<typename MatrixType>
+class generic_matrix_wrapper<MatrixType,false>
+{
+public:
+  typedef Ref<const MatrixType> ActualMatrixType;
+  template<int UpLo> struct ConstSelfAdjointViewReturnType {
+    typedef typename ActualMatrixType::template ConstSelfAdjointViewReturnType<UpLo>::Type Type;
+  };
+
+  enum {
+    MatrixFree = false
+  };
+
+  generic_matrix_wrapper()
+    : m_dummy(0,0), m_matrix(m_dummy)
+  {}
+
+  template<typename InputType>
+  generic_matrix_wrapper(const InputType &mat)
+    : m_matrix(mat)
+  {}
+
+  const ActualMatrixType& matrix() const
+  {
+    return m_matrix;
+  }
+
+  template<typename MatrixDerived>
+  void grab(const EigenBase<MatrixDerived> &mat)
+  {
+    m_matrix.~Ref<const MatrixType>();
+    ::new (&m_matrix) Ref<const MatrixType>(mat.derived());
+  }
+
+  void grab(const Ref<const MatrixType> &mat)
+  {
+    if(&(mat.derived()) != &m_matrix)
+    {
+      m_matrix.~Ref<const MatrixType>();
+      ::new (&m_matrix) Ref<const MatrixType>(mat);
+    }
+  }
+
+protected:
+  MatrixType m_dummy; // used to default initialize the Ref<> object
+  ActualMatrixType m_matrix;
+};
+
+// MatrixType is not compatible with Ref<> -> matrix-free wrapper
+template<typename MatrixType>
+class generic_matrix_wrapper<MatrixType,true>
+{
+public:
+  typedef MatrixType ActualMatrixType;
+  template<int UpLo> struct ConstSelfAdjointViewReturnType
+  {
+    typedef ActualMatrixType Type;
+  };
+
+  enum {
+    MatrixFree = true
+  };
+
+  generic_matrix_wrapper()
+    : mp_matrix(0)
+  {}
+
+  generic_matrix_wrapper(const MatrixType &mat)
+    : mp_matrix(&mat)
+  {}
+
+  const ActualMatrixType& matrix() const
+  {
+    return *mp_matrix;
+  }
+
+  void grab(const MatrixType &mat)
+  {
+    mp_matrix = &mat;
+  }
+
+protected:
+  const ActualMatrixType *mp_matrix;
+};
+
+}
+
+/** \ingroup IterativeLinearSolvers_Module
+  * \brief Base class for linear iterative solvers
+  *
+  * \sa class SimplicialCholesky, DiagonalPreconditioner, IdentityPreconditioner
+  */
+template< typename Derived>
+class IterativeSolverBase : public SparseSolverBase<Derived>
+{
+protected:
+  typedef SparseSolverBase<Derived> Base;
+  using Base::m_isInitialized;
+  
+public:
+  typedef typename internal::traits<Derived>::MatrixType MatrixType;
+  typedef typename internal::traits<Derived>::Preconditioner Preconditioner;
+  typedef typename MatrixType::Scalar Scalar;
+  typedef typename MatrixType::StorageIndex StorageIndex;
+  typedef typename MatrixType::RealScalar RealScalar;
+
+  enum {
+    ColsAtCompileTime = MatrixType::ColsAtCompileTime,
+    MaxColsAtCompileTime = MatrixType::MaxColsAtCompileTime
+  };
+
+public:
+
+  using Base::derived;
+
+  /** Default constructor. */
+  IterativeSolverBase()
+  {
+    init();
+  }
+
+  /** Initialize the solver with matrix \a A for further \c Ax=b solving.
+    * 
+    * This constructor is a shortcut for the default constructor followed
+    * by a call to compute().
+    * 
+    * \warning this class stores a reference to the matrix A as well as some
+    * precomputed values that depend on it. Therefore, if \a A is changed
+    * this class becomes invalid. Call compute() to update it with the new
+    * matrix A, or modify a copy of A.
+    */
+  template<typename MatrixDerived>
+  explicit IterativeSolverBase(const EigenBase<MatrixDerived>& A)
+    : m_matrixWrapper(A.derived())
+  {
+    init();
+    compute(matrix());
+  }
+
+  ~IterativeSolverBase() {}
+  
+  /** Initializes the iterative solver for the sparsity pattern of the matrix \a A for further solving \c Ax=b problems.
+    *
+    * Currently, this function mostly calls analyzePattern on the preconditioner. In the future
+    * we might, for instance, implement column reordering for faster matrix vector products.
+    */
+  template<typename MatrixDerived>
+  Derived& analyzePattern(const EigenBase<MatrixDerived>& A)
+  {
+    grab(A.derived());
+    m_preconditioner.analyzePattern(matrix());
+    m_isInitialized = true;
+    m_analysisIsOk = true;
+    m_info = m_preconditioner.info();
+    return derived();
+  }
+  
+  /** Initializes the iterative solver with the numerical values of the matrix \a A for further solving \c Ax=b problems.
+    *
+    * Currently, this function mostly calls factorize on the preconditioner.
+    *
+    * \warning this class stores a reference to the matrix A as well as some
+    * precomputed values that depend on it. Therefore, if \a A is changed
+    * this class becomes invalid. Call compute() to update it with the new
+    * matrix A, or modify a copy of A.
+    */
+  template<typename MatrixDerived>
+  Derived& factorize(const EigenBase<MatrixDerived>& A)
+  {
+    eigen_assert(m_analysisIsOk && "You must first call analyzePattern()"); 
+    grab(A.derived());
+    m_preconditioner.factorize(matrix());
+    m_factorizationIsOk = true;
+    m_info = m_preconditioner.info();
+    return derived();
+  }
+
+  /** Initializes the iterative solver with the matrix \a A for further solving \c Ax=b problems.
+    *
+    * Currently, this function mostly initializes/computes the preconditioner. In the future
+    * we might, for instance, implement column reordering for faster matrix vector products.
+    *
+    * \warning this class stores a reference to the matrix A as well as some
+    * precomputed values that depend on it. Therefore, if \a A is changed
+    * this class becomes invalid. Call compute() to update it with the new
+    * matrix A, or modify a copy of A.
+    */
+  template<typename MatrixDerived>
+  Derived& compute(const EigenBase<MatrixDerived>& A)
+  {
+    grab(A.derived());
+    m_preconditioner.compute(matrix());
+    m_isInitialized = true;
+    m_analysisIsOk = true;
+    m_factorizationIsOk = true;
+    m_info = m_preconditioner.info();
+    return derived();
+  }
+
+  /** \internal */
+  Index rows() const { return matrix().rows(); }
+
+  /** \internal */
+  Index cols() const { return matrix().cols(); }
+
+  /** \returns the tolerance threshold used by the stopping criteria.
+    * \sa setTolerance()
+    */
+  RealScalar tolerance() const { return m_tolerance; }
+  
+  /** Sets the tolerance threshold used by the stopping criteria.
+    *
+    * This value is used as an upper bound to the relative residual error: |Ax-b|/|b|.
+    * The default value is the machine precision given by NumTraits<Scalar>::epsilon()
+    */
+  Derived& setTolerance(const RealScalar& tolerance)
+  {
+    m_tolerance = tolerance;
+    return derived();
+  }
+
+  /** \returns a read-write reference to the preconditioner for custom configuration. */
+  Preconditioner& preconditioner() { return m_preconditioner; }
+  
+  /** \returns a read-only reference to the preconditioner. */
+  const Preconditioner& preconditioner() const { return m_preconditioner; }
+
+  /** \returns the max number of iterations.
+    * It is either the value setted by setMaxIterations or, by default,
+    * twice the number of columns of the matrix.
+    */
+  Index maxIterations() const
+  {
+    return (m_maxIterations<0) ? 2*matrix().cols() : m_maxIterations;
+  }
+  
+  /** Sets the max number of iterations.
+    * Default is twice the number of columns of the matrix.
+    */
+  Derived& setMaxIterations(Index maxIters)
+  {
+    m_maxIterations = maxIters;
+    return derived();
+  }
+
+  /** \returns the number of iterations performed during the last solve */
+  Index iterations() const
+  {
+    eigen_assert(m_isInitialized && "ConjugateGradient is not initialized.");
+    return m_iterations;
+  }
+
+  /** \returns the tolerance error reached during the last solve.
+    * It is a close approximation of the true relative residual error |Ax-b|/|b|.
+    */
+  RealScalar error() const
+  {
+    eigen_assert(m_isInitialized && "ConjugateGradient is not initialized.");
+    return m_error;
+  }
+
+  /** \returns the solution x of \f$ A x = b \f$ using the current decomposition of A
+    * and \a x0 as an initial solution.
+    *
+    * \sa solve(), compute()
+    */
+  template<typename Rhs,typename Guess>
+  inline const SolveWithGuess<Derived, Rhs, Guess>
+  solveWithGuess(const MatrixBase<Rhs>& b, const Guess& x0) const
+  {
+    eigen_assert(m_isInitialized && "Solver is not initialized.");
+    eigen_assert(derived().rows()==b.rows() && "solve(): invalid number of rows of the right hand side matrix b");
+    return SolveWithGuess<Derived, Rhs, Guess>(derived(), b.derived(), x0);
+  }
+
+  /** \returns Success if the iterations converged, and NoConvergence otherwise. */
+  ComputationInfo info() const
+  {
+    eigen_assert(m_isInitialized && "IterativeSolverBase is not initialized.");
+    return m_info;
+  }
+  
+  /** \internal */
+  template<typename Rhs, typename DestDerived>
+  void _solve_impl(const Rhs& b, SparseMatrixBase<DestDerived> &aDest) const
+  {
+    eigen_assert(rows()==b.rows());
+    
+    Index rhsCols = b.cols();
+    Index size = b.rows();
+    DestDerived& dest(aDest.derived());
+    typedef typename DestDerived::Scalar DestScalar;
+    Eigen::Matrix<DestScalar,Dynamic,1> tb(size);
+    Eigen::Matrix<DestScalar,Dynamic,1> tx(cols());
+    // We do not directly fill dest because sparse expressions have to be free of aliasing issue.
+    // For non square least-square problems, b and dest might not have the same size whereas they might alias each-other.
+    typename DestDerived::PlainObject tmp(cols(),rhsCols);
+    for(Index k=0; k<rhsCols; ++k)
+    {
+      tb = b.col(k);
+      tx = derived().solve(tb);
+      tmp.col(k) = tx.sparseView(0);
+    }
+    dest.swap(tmp);
+  }
+
+protected:
+  void init()
+  {
+    m_isInitialized = false;
+    m_analysisIsOk = false;
+    m_factorizationIsOk = false;
+    m_maxIterations = -1;
+    m_tolerance = NumTraits<Scalar>::epsilon();
+  }
+
+  typedef internal::generic_matrix_wrapper<MatrixType> MatrixWrapper;
+  typedef typename MatrixWrapper::ActualMatrixType ActualMatrixType;
+
+  const ActualMatrixType& matrix() const
+  {
+    return m_matrixWrapper.matrix();
+  }
+  
+  template<typename InputType>
+  void grab(const InputType &A)
+  {
+    m_matrixWrapper.grab(A);
+  }
+  
+  MatrixWrapper m_matrixWrapper;
+  Preconditioner m_preconditioner;
+
+  Index m_maxIterations;
+  RealScalar m_tolerance;
+  
+  mutable RealScalar m_error;
+  mutable Index m_iterations;
+  mutable ComputationInfo m_info;
+  mutable bool m_analysisIsOk, m_factorizationIsOk;
+};
+
+} // end namespace Eigen
+
+#endif // EIGEN_ITERATIVE_SOLVER_BASE_H
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/IterativeLinearSolvers/IncompleteLUT.h
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/IterativeLinearSolvers/IncompleteLUT.h	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/IterativeLinearSolvers/IncompleteLUT.h	(revision 3761)
@@ -0,0 +1,462 @@
+// This file is part of Eigen, a lightweight C++ template library
+// for linear algebra.
+//
+// Copyright (C) 2012 DÃ©sirÃ© Nuentsa-Wakam <desire.nuentsa_wakam@inria.fr>
+// Copyright (C) 2014 Gael Guennebaud <gael.guennebaud@inria.fr>
+//
+// This Source Code Form is subject to the terms of the Mozilla
+// Public License v. 2.0. If a copy of the MPL was not distributed
+// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
+
+#ifndef EIGEN_INCOMPLETE_LUT_H
+#define EIGEN_INCOMPLETE_LUT_H
+
+
+namespace Eigen { 
+
+namespace internal {
+    
+/** \internal
+  * Compute a quick-sort split of a vector 
+  * On output, the vector row is permuted such that its elements satisfy
+  * abs(row(i)) >= abs(row(ncut)) if i<ncut
+  * abs(row(i)) <= abs(row(ncut)) if i>ncut 
+  * \param row The vector of values
+  * \param ind The array of index for the elements in @p row
+  * \param ncut  The number of largest elements to keep
+  **/ 
+template <typename VectorV, typename VectorI>
+Index QuickSplit(VectorV &row, VectorI &ind, Index ncut)
+{
+  typedef typename VectorV::RealScalar RealScalar;
+  using std::swap;
+  using std::abs;
+  Index mid;
+  Index n = row.size(); /* length of the vector */
+  Index first, last ;
+  
+  ncut--; /* to fit the zero-based indices */
+  first = 0; 
+  last = n-1; 
+  if (ncut < first || ncut > last ) return 0;
+  
+  do {
+    mid = first; 
+    RealScalar abskey = abs(row(mid)); 
+    for (Index j = first + 1; j <= last; j++) {
+      if ( abs(row(j)) > abskey) {
+        ++mid;
+        swap(row(mid), row(j));
+        swap(ind(mid), ind(j));
+      }
+    }
+    /* Interchange for the pivot element */
+    swap(row(mid), row(first));
+    swap(ind(mid), ind(first));
+    
+    if (mid > ncut) last = mid - 1;
+    else if (mid < ncut ) first = mid + 1; 
+  } while (mid != ncut );
+  
+  return 0; /* mid is equal to ncut */ 
+}
+
+}// end namespace internal
+
+/** \ingroup IterativeLinearSolvers_Module
+  * \class IncompleteLUT
+  * \brief Incomplete LU factorization with dual-threshold strategy
+  *
+  * \implsparsesolverconcept
+  *
+  * During the numerical factorization, two dropping rules are used :
+  *  1) any element whose magnitude is less than some tolerance is dropped.
+  *    This tolerance is obtained by multiplying the input tolerance @p droptol 
+  *    by the average magnitude of all the original elements in the current row.
+  *  2) After the elimination of the row, only the @p fill largest elements in 
+  *    the L part and the @p fill largest elements in the U part are kept 
+  *    (in addition to the diagonal element ). Note that @p fill is computed from 
+  *    the input parameter @p fillfactor which is used the ratio to control the fill_in 
+  *    relatively to the initial number of nonzero elements.
+  * 
+  * The two extreme cases are when @p droptol=0 (to keep all the @p fill*2 largest elements)
+  * and when @p fill=n/2 with @p droptol being different to zero. 
+  * 
+  * References : Yousef Saad, ILUT: A dual threshold incomplete LU factorization, 
+  *              Numerical Linear Algebra with Applications, 1(4), pp 387-402, 1994.
+  * 
+  * NOTE : The following implementation is derived from the ILUT implementation
+  * in the SPARSKIT package, Copyright (C) 2005, the Regents of the University of Minnesota 
+  *  released under the terms of the GNU LGPL: 
+  *    http://www-users.cs.umn.edu/~saad/software/SPARSKIT/README
+  * However, Yousef Saad gave us permission to relicense his ILUT code to MPL2.
+  * See the Eigen mailing list archive, thread: ILUT, date: July 8, 2012:
+  *   http://listengine.tuxfamily.org/lists.tuxfamily.org/eigen/2012/07/msg00064.html
+  * alternatively, on GMANE:
+  *   http://comments.gmane.org/gmane.comp.lib.eigen/3302
+  */
+template <typename _Scalar, typename _StorageIndex = int>
+class IncompleteLUT : public SparseSolverBase<IncompleteLUT<_Scalar, _StorageIndex> >
+{
+  protected:
+    typedef SparseSolverBase<IncompleteLUT> Base;
+    using Base::m_isInitialized;
+  public:
+    typedef _Scalar Scalar;
+    typedef _StorageIndex StorageIndex;
+    typedef typename NumTraits<Scalar>::Real RealScalar;
+    typedef Matrix<Scalar,Dynamic,1> Vector;
+    typedef Matrix<StorageIndex,Dynamic,1> VectorI;
+    typedef SparseMatrix<Scalar,RowMajor,StorageIndex> FactorType;
+
+    enum {
+      ColsAtCompileTime = Dynamic,
+      MaxColsAtCompileTime = Dynamic
+    };
+
+  public:
+    
+    IncompleteLUT()
+      : m_droptol(NumTraits<Scalar>::dummy_precision()), m_fillfactor(10),
+        m_analysisIsOk(false), m_factorizationIsOk(false)
+    {}
+    
+    template<typename MatrixType>
+    explicit IncompleteLUT(const MatrixType& mat, const RealScalar& droptol=NumTraits<Scalar>::dummy_precision(), int fillfactor = 10)
+      : m_droptol(droptol),m_fillfactor(fillfactor),
+        m_analysisIsOk(false),m_factorizationIsOk(false)
+    {
+      eigen_assert(fillfactor != 0);
+      compute(mat); 
+    }
+    
+    Index rows() const { return m_lu.rows(); }
+    
+    Index cols() const { return m_lu.cols(); }
+
+    /** \brief Reports whether previous computation was successful.
+      *
+      * \returns \c Success if computation was succesful,
+      *          \c NumericalIssue if the matrix.appears to be negative.
+      */
+    ComputationInfo info() const
+    {
+      eigen_assert(m_isInitialized && "IncompleteLUT is not initialized.");
+      return m_info;
+    }
+    
+    template<typename MatrixType>
+    void analyzePattern(const MatrixType& amat);
+    
+    template<typename MatrixType>
+    void factorize(const MatrixType& amat);
+    
+    /**
+      * Compute an incomplete LU factorization with dual threshold on the matrix mat
+      * No pivoting is done in this version
+      * 
+      **/
+    template<typename MatrixType>
+    IncompleteLUT& compute(const MatrixType& amat)
+    {
+      analyzePattern(amat); 
+      factorize(amat);
+      return *this;
+    }
+
+    void setDroptol(const RealScalar& droptol); 
+    void setFillfactor(int fillfactor); 
+    
+    template<typename Rhs, typename Dest>
+    void _solve_impl(const Rhs& b, Dest& x) const
+    {
+      x = m_Pinv * b;
+      x = m_lu.template triangularView<UnitLower>().solve(x);
+      x = m_lu.template triangularView<Upper>().solve(x);
+      x = m_P * x; 
+    }
+
+protected:
+
+    /** keeps off-diagonal entries; drops diagonal entries */
+    struct keep_diag {
+      inline bool operator() (const Index& row, const Index& col, const Scalar&) const
+      {
+        return row!=col;
+      }
+    };
+
+protected:
+
+    FactorType m_lu;
+    RealScalar m_droptol;
+    int m_fillfactor;
+    bool m_analysisIsOk;
+    bool m_factorizationIsOk;
+    ComputationInfo m_info;
+    PermutationMatrix<Dynamic,Dynamic,StorageIndex> m_P;     // Fill-reducing permutation
+    PermutationMatrix<Dynamic,Dynamic,StorageIndex> m_Pinv;  // Inverse permutation
+};
+
+/**
+ * Set control parameter droptol
+ *  \param droptol   Drop any element whose magnitude is less than this tolerance 
+ **/ 
+template<typename Scalar, typename StorageIndex>
+void IncompleteLUT<Scalar,StorageIndex>::setDroptol(const RealScalar& droptol)
+{
+  this->m_droptol = droptol;   
+}
+
+/**
+ * Set control parameter fillfactor
+ * \param fillfactor  This is used to compute the  number @p fill_in of largest elements to keep on each row. 
+ **/ 
+template<typename Scalar, typename StorageIndex>
+void IncompleteLUT<Scalar,StorageIndex>::setFillfactor(int fillfactor)
+{
+  this->m_fillfactor = fillfactor;   
+}
+
+template <typename Scalar, typename StorageIndex>
+template<typename _MatrixType>
+void IncompleteLUT<Scalar,StorageIndex>::analyzePattern(const _MatrixType& amat)
+{
+  // Compute the Fill-reducing permutation
+  // Since ILUT does not perform any numerical pivoting,
+  // it is highly preferable to keep the diagonal through symmetric permutations.
+#ifndef EIGEN_MPL2_ONLY
+  // To this end, let's symmetrize the pattern and perform AMD on it.
+  SparseMatrix<Scalar,ColMajor, StorageIndex> mat1 = amat;
+  SparseMatrix<Scalar,ColMajor, StorageIndex> mat2 = amat.transpose();
+  // FIXME for a matrix with nearly symmetric pattern, mat2+mat1 is the appropriate choice.
+  //       on the other hand for a really non-symmetric pattern, mat2*mat1 should be prefered...
+  SparseMatrix<Scalar,ColMajor, StorageIndex> AtA = mat2 + mat1;
+  AMDOrdering<StorageIndex> ordering;
+  ordering(AtA,m_P);
+  m_Pinv  = m_P.inverse(); // cache the inverse permutation
+#else
+  // If AMD is not available, (MPL2-only), then let's use the slower COLAMD routine.
+  SparseMatrix<Scalar,ColMajor, StorageIndex> mat1 = amat;
+  COLAMDOrdering<StorageIndex> ordering;
+  ordering(mat1,m_Pinv);
+  m_P = m_Pinv.inverse();
+#endif
+
+  m_analysisIsOk = true;
+  m_factorizationIsOk = false;
+  m_isInitialized = true;
+}
+
+template <typename Scalar, typename StorageIndex>
+template<typename _MatrixType>
+void IncompleteLUT<Scalar,StorageIndex>::factorize(const _MatrixType& amat)
+{
+  using std::sqrt;
+  using std::swap;
+  using std::abs;
+  using internal::convert_index;
+
+  eigen_assert((amat.rows() == amat.cols()) && "The factorization should be done on a square matrix");
+  Index n = amat.cols();  // Size of the matrix
+  m_lu.resize(n,n);
+  // Declare Working vectors and variables
+  Vector u(n) ;     // real values of the row -- maximum size is n --
+  VectorI ju(n);   // column position of the values in u -- maximum size  is n
+  VectorI jr(n);   // Indicate the position of the nonzero elements in the vector u -- A zero location is indicated by -1
+
+  // Apply the fill-reducing permutation
+  eigen_assert(m_analysisIsOk && "You must first call analyzePattern()");
+  SparseMatrix<Scalar,RowMajor, StorageIndex> mat;
+  mat = amat.twistedBy(m_Pinv);
+
+  // Initialization
+  jr.fill(-1);
+  ju.fill(0);
+  u.fill(0);
+
+  // number of largest elements to keep in each row:
+  Index fill_in = (amat.nonZeros()*m_fillfactor)/n + 1;
+  if (fill_in > n) fill_in = n;
+
+  // number of largest nonzero elements to keep in the L and the U part of the current row:
+  Index nnzL = fill_in/2;
+  Index nnzU = nnzL;
+  m_lu.reserve(n * (nnzL + nnzU + 1));
+
+  // global loop over the rows of the sparse matrix
+  for (Index ii = 0; ii < n; ii++)
+  {
+    // 1 - copy the lower and the upper part of the row i of mat in the working vector u
+
+    Index sizeu = 1; // number of nonzero elements in the upper part of the current row
+    Index sizel = 0; // number of nonzero elements in the lower part of the current row
+    ju(ii)    = convert_index<StorageIndex>(ii);
+    u(ii)     = 0;
+    jr(ii)    = convert_index<StorageIndex>(ii);
+    RealScalar rownorm = 0;
+
+    typename FactorType::InnerIterator j_it(mat, ii); // Iterate through the current row ii
+    for (; j_it; ++j_it)
+    {
+      Index k = j_it.index();
+      if (k < ii)
+      {
+        // copy the lower part
+        ju(sizel) = convert_index<StorageIndex>(k);
+        u(sizel) = j_it.value();
+        jr(k) = convert_index<StorageIndex>(sizel);
+        ++sizel;
+      }
+      else if (k == ii)
+      {
+        u(ii) = j_it.value();
+      }
+      else
+      {
+        // copy the upper part
+        Index jpos = ii + sizeu;
+        ju(jpos) = convert_index<StorageIndex>(k);
+        u(jpos) = j_it.value();
+        jr(k) = convert_index<StorageIndex>(jpos);
+        ++sizeu;
+      }
+      rownorm += numext::abs2(j_it.value());
+    }
+
+    // 2 - detect possible zero row
+    if(rownorm==0)
+    {
+      m_info = NumericalIssue;
+      return;
+    }
+    // Take the 2-norm of the current row as a relative tolerance
+    rownorm = sqrt(rownorm);
+
+    // 3 - eliminate the previous nonzero rows
+    Index jj = 0;
+    Index len = 0;
+    while (jj < sizel)
+    {
+      // In order to eliminate in the correct order,
+      // we must select first the smallest column index among  ju(jj:sizel)
+      Index k;
+      Index minrow = ju.segment(jj,sizel-jj).minCoeff(&k); // k is relative to the segment
+      k += jj;
+      if (minrow != ju(jj))
+      {
+        // swap the two locations
+        Index j = ju(jj);
+        swap(ju(jj), ju(k));
+        jr(minrow) = convert_index<StorageIndex>(jj);
+        jr(j) = convert_index<StorageIndex>(k);
+        swap(u(jj), u(k));
+      }
+      // Reset this location
+      jr(minrow) = -1;
+
+      // Start elimination
+      typename FactorType::InnerIterator ki_it(m_lu, minrow);
+      while (ki_it && ki_it.index() < minrow) ++ki_it;
+      eigen_internal_assert(ki_it && ki_it.col()==minrow);
+      Scalar fact = u(jj) / ki_it.value();
+
+      // drop too small elements
+      if(abs(fact) <= m_droptol)
+      {
+        jj++;
+        continue;
+      }
+
+      // linear combination of the current row ii and the row minrow
+      ++ki_it;
+      for (; ki_it; ++ki_it)
+      {
+        Scalar prod = fact * ki_it.value();
+        Index j     = ki_it.index();
+        Index jpos  = jr(j);
+        if (jpos == -1) // fill-in element
+        {
+          Index newpos;
+          if (j >= ii) // dealing with the upper part
+          {
+            newpos = ii + sizeu;
+            sizeu++;
+            eigen_internal_assert(sizeu<=n);
+          }
+          else // dealing with the lower part
+          {
+            newpos = sizel;
+            sizel++;
+            eigen_internal_assert(sizel<=ii);
+          }
+          ju(newpos) = convert_index<StorageIndex>(j);
+          u(newpos) = -prod;
+          jr(j) = convert_index<StorageIndex>(newpos);
+        }
+        else
+          u(jpos) -= prod;
+      }
+      // store the pivot element
+      u(len)  = fact;
+      ju(len) = convert_index<StorageIndex>(minrow);
+      ++len;
+
+      jj++;
+    } // end of the elimination on the row ii
+
+    // reset the upper part of the pointer jr to zero
+    for(Index k = 0; k <sizeu; k++) jr(ju(ii+k)) = -1;
+
+    // 4 - partially sort and insert the elements in the m_lu matrix
+
+    // sort the L-part of the row
+    sizel = len;
+    len = (std::min)(sizel, nnzL);
+    typename Vector::SegmentReturnType ul(u.segment(0, sizel));
+    typename VectorI::SegmentReturnType jul(ju.segment(0, sizel));
+    internal::QuickSplit(ul, jul, len);
+
+    // store the largest m_fill elements of the L part
+    m_lu.startVec(ii);
+    for(Index k = 0; k < len; k++)
+      m_lu.insertBackByOuterInnerUnordered(ii,ju(k)) = u(k);
+
+    // store the diagonal element
+    // apply a shifting rule to avoid zero pivots (we are doing an incomplete factorization)
+    if (u(ii) == Scalar(0))
+      u(ii) = sqrt(m_droptol) * rownorm;
+    m_lu.insertBackByOuterInnerUnordered(ii, ii) = u(ii);
+
+    // sort the U-part of the row
+    // apply the dropping rule first
+    len = 0;
+    for(Index k = 1; k < sizeu; k++)
+    {
+      if(abs(u(ii+k)) > m_droptol * rownorm )
+      {
+        ++len;
+        u(ii + len)  = u(ii + k);
+        ju(ii + len) = ju(ii + k);
+      }
+    }
+    sizeu = len + 1; // +1 to take into account the diagonal element
+    len = (std::min)(sizeu, nnzU);
+    typename Vector::SegmentReturnType uu(u.segment(ii+1, sizeu-1));
+    typename VectorI::SegmentReturnType juu(ju.segment(ii+1, sizeu-1));
+    internal::QuickSplit(uu, juu, len);
+
+    // store the largest elements of the U part
+    for(Index k = ii + 1; k < ii + len; k++)
+      m_lu.insertBackByOuterInnerUnordered(ii,ju(k)) = u(k);
+  }
+  m_lu.finalize();
+  m_lu.makeCompressed();
+
+  m_factorizationIsOk = true;
+  m_info = Success;
+}
+
+} // end namespace Eigen
+
+#endif // EIGEN_INCOMPLETE_LUT_H
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/IterativeLinearSolvers/LeastSquareConjugateGradient.h
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/IterativeLinearSolvers/LeastSquareConjugateGradient.h	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/IterativeLinearSolvers/LeastSquareConjugateGradient.h	(revision 3761)
@@ -0,0 +1,216 @@
+// This file is part of Eigen, a lightweight C++ template library
+// for linear algebra.
+//
+// Copyright (C) 2015 Gael Guennebaud <gael.guennebaud@inria.fr>
+//
+// This Source Code Form is subject to the terms of the Mozilla
+// Public License v. 2.0. If a copy of the MPL was not distributed
+// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
+
+#ifndef EIGEN_LEAST_SQUARE_CONJUGATE_GRADIENT_H
+#define EIGEN_LEAST_SQUARE_CONJUGATE_GRADIENT_H
+
+namespace Eigen { 
+
+namespace internal {
+
+/** \internal Low-level conjugate gradient algorithm for least-square problems
+  * \param mat The matrix A
+  * \param rhs The right hand side vector b
+  * \param x On input and initial solution, on output the computed solution.
+  * \param precond A preconditioner being able to efficiently solve for an
+  *                approximation of A'Ax=b (regardless of b)
+  * \param iters On input the max number of iteration, on output the number of performed iterations.
+  * \param tol_error On input the tolerance error, on output an estimation of the relative error.
+  */
+template<typename MatrixType, typename Rhs, typename Dest, typename Preconditioner>
+EIGEN_DONT_INLINE
+void least_square_conjugate_gradient(const MatrixType& mat, const Rhs& rhs, Dest& x,
+                                     const Preconditioner& precond, Index& iters,
+                                     typename Dest::RealScalar& tol_error)
+{
+  using std::sqrt;
+  using std::abs;
+  typedef typename Dest::RealScalar RealScalar;
+  typedef typename Dest::Scalar Scalar;
+  typedef Matrix<Scalar,Dynamic,1> VectorType;
+  
+  RealScalar tol = tol_error;
+  Index maxIters = iters;
+  
+  Index m = mat.rows(), n = mat.cols();
+
+  VectorType residual        = rhs - mat * x;
+  VectorType normal_residual = mat.adjoint() * residual;
+
+  RealScalar rhsNorm2 = (mat.adjoint()*rhs).squaredNorm();
+  if(rhsNorm2 == 0) 
+  {
+    x.setZero();
+    iters = 0;
+    tol_error = 0;
+    return;
+  }
+  RealScalar threshold = tol*tol*rhsNorm2;
+  RealScalar residualNorm2 = normal_residual.squaredNorm();
+  if (residualNorm2 < threshold)
+  {
+    iters = 0;
+    tol_error = sqrt(residualNorm2 / rhsNorm2);
+    return;
+  }
+  
+  VectorType p(n);
+  p = precond.solve(normal_residual);                         // initial search direction
+
+  VectorType z(n), tmp(m);
+  RealScalar absNew = numext::real(normal_residual.dot(p));  // the square of the absolute value of r scaled by invM
+  Index i = 0;
+  while(i < maxIters)
+  {
+    tmp.noalias() = mat * p;
+
+    Scalar alpha = absNew / tmp.squaredNorm();      // the amount we travel on dir
+    x += alpha * p;                                 // update solution
+    residual -= alpha * tmp;                        // update residual
+    normal_residual = mat.adjoint() * residual;     // update residual of the normal equation
+    
+    residualNorm2 = normal_residual.squaredNorm();
+    if(residualNorm2 < threshold)
+      break;
+    
+    z = precond.solve(normal_residual);             // approximately solve for "A'A z = normal_residual"
+
+    RealScalar absOld = absNew;
+    absNew = numext::real(normal_residual.dot(z));  // update the absolute value of r
+    RealScalar beta = absNew / absOld;              // calculate the Gram-Schmidt value used to create the new search direction
+    p = z + beta * p;                               // update search direction
+    i++;
+  }
+  tol_error = sqrt(residualNorm2 / rhsNorm2);
+  iters = i;
+}
+
+}
+
+template< typename _MatrixType,
+          typename _Preconditioner = LeastSquareDiagonalPreconditioner<typename _MatrixType::Scalar> >
+class LeastSquaresConjugateGradient;
+
+namespace internal {
+
+template< typename _MatrixType, typename _Preconditioner>
+struct traits<LeastSquaresConjugateGradient<_MatrixType,_Preconditioner> >
+{
+  typedef _MatrixType MatrixType;
+  typedef _Preconditioner Preconditioner;
+};
+
+}
+
+/** \ingroup IterativeLinearSolvers_Module
+  * \brief A conjugate gradient solver for sparse (or dense) least-square problems
+  *
+  * This class allows to solve for A x = b linear problems using an iterative conjugate gradient algorithm.
+  * The matrix A can be non symmetric and rectangular, but the matrix A' A should be positive-definite to guaranty stability.
+  * Otherwise, the SparseLU or SparseQR classes might be preferable.
+  * The matrix A and the vectors x and b can be either dense or sparse.
+  *
+  * \tparam _MatrixType the type of the matrix A, can be a dense or a sparse matrix.
+  * \tparam _Preconditioner the type of the preconditioner. Default is LeastSquareDiagonalPreconditioner
+  *
+  * \implsparsesolverconcept
+  * 
+  * The maximal number of iterations and tolerance value can be controlled via the setMaxIterations()
+  * and setTolerance() methods. The defaults are the size of the problem for the maximal number of iterations
+  * and NumTraits<Scalar>::epsilon() for the tolerance.
+  * 
+  * This class can be used as the direct solver classes. Here is a typical usage example:
+    \code
+    int m=1000000, n = 10000;
+    VectorXd x(n), b(m);
+    SparseMatrix<double> A(m,n);
+    // fill A and b
+    LeastSquaresConjugateGradient<SparseMatrix<double> > lscg;
+    lscg.compute(A);
+    x = lscg.solve(b);
+    std::cout << "#iterations:     " << lscg.iterations() << std::endl;
+    std::cout << "estimated error: " << lscg.error()      << std::endl;
+    // update b, and solve again
+    x = lscg.solve(b);
+    \endcode
+  * 
+  * By default the iterations start with x=0 as an initial guess of the solution.
+  * One can control the start using the solveWithGuess() method.
+  * 
+  * \sa class ConjugateGradient, SparseLU, SparseQR
+  */
+template< typename _MatrixType, typename _Preconditioner>
+class LeastSquaresConjugateGradient : public IterativeSolverBase<LeastSquaresConjugateGradient<_MatrixType,_Preconditioner> >
+{
+  typedef IterativeSolverBase<LeastSquaresConjugateGradient> Base;
+  using Base::matrix;
+  using Base::m_error;
+  using Base::m_iterations;
+  using Base::m_info;
+  using Base::m_isInitialized;
+public:
+  typedef _MatrixType MatrixType;
+  typedef typename MatrixType::Scalar Scalar;
+  typedef typename MatrixType::RealScalar RealScalar;
+  typedef _Preconditioner Preconditioner;
+
+public:
+
+  /** Default constructor. */
+  LeastSquaresConjugateGradient() : Base() {}
+
+  /** Initialize the solver with matrix \a A for further \c Ax=b solving.
+    * 
+    * This constructor is a shortcut for the default constructor followed
+    * by a call to compute().
+    * 
+    * \warning this class stores a reference to the matrix A as well as some
+    * precomputed values that depend on it. Therefore, if \a A is changed
+    * this class becomes invalid. Call compute() to update it with the new
+    * matrix A, or modify a copy of A.
+    */
+  template<typename MatrixDerived>
+  explicit LeastSquaresConjugateGradient(const EigenBase<MatrixDerived>& A) : Base(A.derived()) {}
+
+  ~LeastSquaresConjugateGradient() {}
+
+  /** \internal */
+  template<typename Rhs,typename Dest>
+  void _solve_with_guess_impl(const Rhs& b, Dest& x) const
+  {
+    m_iterations = Base::maxIterations();
+    m_error = Base::m_tolerance;
+
+    for(Index j=0; j<b.cols(); ++j)
+    {
+      m_iterations = Base::maxIterations();
+      m_error = Base::m_tolerance;
+
+      typename Dest::ColXpr xj(x,j);
+      internal::least_square_conjugate_gradient(matrix(), b.col(j), xj, Base::m_preconditioner, m_iterations, m_error);
+    }
+
+    m_isInitialized = true;
+    m_info = m_error <= Base::m_tolerance ? Success : NoConvergence;
+  }
+  
+  /** \internal */
+  using Base::_solve_impl;
+  template<typename Rhs,typename Dest>
+  void _solve_impl(const MatrixBase<Rhs>& b, Dest& x) const
+  {
+    x.setZero();
+    _solve_with_guess_impl(b.derived(),x);
+  }
+
+};
+
+} // end namespace Eigen
+
+#endif // EIGEN_LEAST_SQUARE_CONJUGATE_GRADIENT_H
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/IterativeLinearSolvers/BasicPreconditioners.h
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/IterativeLinearSolvers/BasicPreconditioners.h	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/IterativeLinearSolvers/BasicPreconditioners.h	(revision 3761)
@@ -0,0 +1,226 @@
+// This file is part of Eigen, a lightweight C++ template library
+// for linear algebra.
+//
+// Copyright (C) 2011-2014 Gael Guennebaud <gael.guennebaud@inria.fr>
+//
+// This Source Code Form is subject to the terms of the Mozilla
+// Public License v. 2.0. If a copy of the MPL was not distributed
+// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
+
+#ifndef EIGEN_BASIC_PRECONDITIONERS_H
+#define EIGEN_BASIC_PRECONDITIONERS_H
+
+namespace Eigen { 
+
+/** \ingroup IterativeLinearSolvers_Module
+  * \brief A preconditioner based on the digonal entries
+  *
+  * This class allows to approximately solve for A.x = b problems assuming A is a diagonal matrix.
+  * In other words, this preconditioner neglects all off diagonal entries and, in Eigen's language, solves for:
+    \code
+    A.diagonal().asDiagonal() . x = b
+    \endcode
+  *
+  * \tparam _Scalar the type of the scalar.
+  *
+  * \implsparsesolverconcept
+  *
+  * This preconditioner is suitable for both selfadjoint and general problems.
+  * The diagonal entries are pre-inverted and stored into a dense vector.
+  *
+  * \note A variant that has yet to be implemented would attempt to preserve the norm of each column.
+  *
+  * \sa class LeastSquareDiagonalPreconditioner, class ConjugateGradient
+  */
+template <typename _Scalar>
+class DiagonalPreconditioner
+{
+    typedef _Scalar Scalar;
+    typedef Matrix<Scalar,Dynamic,1> Vector;
+  public:
+    typedef typename Vector::StorageIndex StorageIndex;
+    enum {
+      ColsAtCompileTime = Dynamic,
+      MaxColsAtCompileTime = Dynamic
+    };
+
+    DiagonalPreconditioner() : m_isInitialized(false) {}
+
+    template<typename MatType>
+    explicit DiagonalPreconditioner(const MatType& mat) : m_invdiag(mat.cols())
+    {
+      compute(mat);
+    }
+
+    Index rows() const { return m_invdiag.size(); }
+    Index cols() const { return m_invdiag.size(); }
+    
+    template<typename MatType>
+    DiagonalPreconditioner& analyzePattern(const MatType& )
+    {
+      return *this;
+    }
+    
+    template<typename MatType>
+    DiagonalPreconditioner& factorize(const MatType& mat)
+    {
+      m_invdiag.resize(mat.cols());
+      for(int j=0; j<mat.outerSize(); ++j)
+      {
+        typename MatType::InnerIterator it(mat,j);
+        while(it && it.index()!=j) ++it;
+        if(it && it.index()==j && it.value()!=Scalar(0))
+          m_invdiag(j) = Scalar(1)/it.value();
+        else
+          m_invdiag(j) = Scalar(1);
+      }
+      m_isInitialized = true;
+      return *this;
+    }
+    
+    template<typename MatType>
+    DiagonalPreconditioner& compute(const MatType& mat)
+    {
+      return factorize(mat);
+    }
+
+    /** \internal */
+    template<typename Rhs, typename Dest>
+    void _solve_impl(const Rhs& b, Dest& x) const
+    {
+      x = m_invdiag.array() * b.array() ;
+    }
+
+    template<typename Rhs> inline const Solve<DiagonalPreconditioner, Rhs>
+    solve(const MatrixBase<Rhs>& b) const
+    {
+      eigen_assert(m_isInitialized && "DiagonalPreconditioner is not initialized.");
+      eigen_assert(m_invdiag.size()==b.rows()
+                && "DiagonalPreconditioner::solve(): invalid number of rows of the right hand side matrix b");
+      return Solve<DiagonalPreconditioner, Rhs>(*this, b.derived());
+    }
+    
+    ComputationInfo info() { return Success; }
+
+  protected:
+    Vector m_invdiag;
+    bool m_isInitialized;
+};
+
+/** \ingroup IterativeLinearSolvers_Module
+  * \brief Jacobi preconditioner for LeastSquaresConjugateGradient
+  *
+  * This class allows to approximately solve for A' A x  = A' b problems assuming A' A is a diagonal matrix.
+  * In other words, this preconditioner neglects all off diagonal entries and, in Eigen's language, solves for:
+    \code
+    (A.adjoint() * A).diagonal().asDiagonal() * x = b
+    \endcode
+  *
+  * \tparam _Scalar the type of the scalar.
+  *
+  * \implsparsesolverconcept
+  *
+  * The diagonal entries are pre-inverted and stored into a dense vector.
+  * 
+  * \sa class LeastSquaresConjugateGradient, class DiagonalPreconditioner
+  */
+template <typename _Scalar>
+class LeastSquareDiagonalPreconditioner : public DiagonalPreconditioner<_Scalar>
+{
+    typedef _Scalar Scalar;
+    typedef typename NumTraits<Scalar>::Real RealScalar;
+    typedef DiagonalPreconditioner<_Scalar> Base;
+    using Base::m_invdiag;
+  public:
+
+    LeastSquareDiagonalPreconditioner() : Base() {}
+
+    template<typename MatType>
+    explicit LeastSquareDiagonalPreconditioner(const MatType& mat) : Base()
+    {
+      compute(mat);
+    }
+
+    template<typename MatType>
+    LeastSquareDiagonalPreconditioner& analyzePattern(const MatType& )
+    {
+      return *this;
+    }
+    
+    template<typename MatType>
+    LeastSquareDiagonalPreconditioner& factorize(const MatType& mat)
+    {
+      // Compute the inverse squared-norm of each column of mat
+      m_invdiag.resize(mat.cols());
+      if(MatType::IsRowMajor)
+      {
+        m_invdiag.setZero();
+        for(Index j=0; j<mat.outerSize(); ++j)
+        {
+          for(typename MatType::InnerIterator it(mat,j); it; ++it)
+            m_invdiag(it.index()) += numext::abs2(it.value());
+        }
+        for(Index j=0; j<mat.cols(); ++j)
+          if(numext::real(m_invdiag(j))>RealScalar(0))
+            m_invdiag(j) = RealScalar(1)/numext::real(m_invdiag(j));
+      }
+      else
+      {
+        for(Index j=0; j<mat.outerSize(); ++j)
+        {
+          RealScalar sum = mat.col(j).squaredNorm();
+          if(sum>RealScalar(0))
+            m_invdiag(j) = RealScalar(1)/sum;
+          else
+            m_invdiag(j) = RealScalar(1);
+        }
+      }
+      Base::m_isInitialized = true;
+      return *this;
+    }
+    
+    template<typename MatType>
+    LeastSquareDiagonalPreconditioner& compute(const MatType& mat)
+    {
+      return factorize(mat);
+    }
+    
+    ComputationInfo info() { return Success; }
+
+  protected:
+};
+
+/** \ingroup IterativeLinearSolvers_Module
+  * \brief A naive preconditioner which approximates any matrix as the identity matrix
+  *
+  * \implsparsesolverconcept
+  *
+  * \sa class DiagonalPreconditioner
+  */
+class IdentityPreconditioner
+{
+  public:
+
+    IdentityPreconditioner() {}
+
+    template<typename MatrixType>
+    explicit IdentityPreconditioner(const MatrixType& ) {}
+    
+    template<typename MatrixType>
+    IdentityPreconditioner& analyzePattern(const MatrixType& ) { return *this; }
+    
+    template<typename MatrixType>
+    IdentityPreconditioner& factorize(const MatrixType& ) { return *this; }
+
+    template<typename MatrixType>
+    IdentityPreconditioner& compute(const MatrixType& ) { return *this; }
+    
+    template<typename Rhs>
+    inline const Rhs& solve(const Rhs& b) const { return b; }
+    
+    ComputationInfo info() { return Success; }
+};
+
+} // end namespace Eigen
+
+#endif // EIGEN_BASIC_PRECONDITIONERS_H
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/IterativeLinearSolvers/SolveWithGuess.h
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/IterativeLinearSolvers/SolveWithGuess.h	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/IterativeLinearSolvers/SolveWithGuess.h	(revision 3761)
@@ -0,0 +1,115 @@
+// This file is part of Eigen, a lightweight C++ template library
+// for linear algebra.
+//
+// Copyright (C) 2014 Gael Guennebaud <gael.guennebaud@inria.fr>
+//
+// This Source Code Form is subject to the terms of the Mozilla
+// Public License v. 2.0. If a copy of the MPL was not distributed
+// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
+
+#ifndef EIGEN_SOLVEWITHGUESS_H
+#define EIGEN_SOLVEWITHGUESS_H
+
+namespace Eigen {
+
+template<typename Decomposition, typename RhsType, typename GuessType> class SolveWithGuess;
+  
+/** \class SolveWithGuess
+  * \ingroup IterativeLinearSolvers_Module
+  *
+  * \brief Pseudo expression representing a solving operation
+  *
+  * \tparam Decomposition the type of the matrix or decomposion object
+  * \tparam Rhstype the type of the right-hand side
+  *
+  * This class represents an expression of A.solve(B)
+  * and most of the time this is the only way it is used.
+  *
+  */
+namespace internal {
+
+
+template<typename Decomposition, typename RhsType, typename GuessType>
+struct traits<SolveWithGuess<Decomposition, RhsType, GuessType> >
+  : traits<Solve<Decomposition,RhsType> >
+{};
+
+}
+
+
+template<typename Decomposition, typename RhsType, typename GuessType>
+class SolveWithGuess : public internal::generic_xpr_base<SolveWithGuess<Decomposition,RhsType,GuessType>, MatrixXpr, typename internal::traits<RhsType>::StorageKind>::type
+{
+public:
+  typedef typename internal::traits<SolveWithGuess>::Scalar Scalar;
+  typedef typename internal::traits<SolveWithGuess>::PlainObject PlainObject;
+  typedef typename internal::generic_xpr_base<SolveWithGuess<Decomposition,RhsType,GuessType>, MatrixXpr, typename internal::traits<RhsType>::StorageKind>::type Base;
+  typedef typename internal::ref_selector<SolveWithGuess>::type Nested;
+  
+  SolveWithGuess(const Decomposition &dec, const RhsType &rhs, const GuessType &guess)
+    : m_dec(dec), m_rhs(rhs), m_guess(guess)
+  {}
+  
+  EIGEN_DEVICE_FUNC Index rows() const { return m_dec.cols(); }
+  EIGEN_DEVICE_FUNC Index cols() const { return m_rhs.cols(); }
+
+  EIGEN_DEVICE_FUNC const Decomposition& dec()   const { return m_dec; }
+  EIGEN_DEVICE_FUNC const RhsType&       rhs()   const { return m_rhs; }
+  EIGEN_DEVICE_FUNC const GuessType&     guess() const { return m_guess; }
+
+protected:
+  const Decomposition &m_dec;
+  const RhsType       &m_rhs;
+  const GuessType     &m_guess;
+  
+private:
+  Scalar coeff(Index row, Index col) const;
+  Scalar coeff(Index i) const;
+};
+
+namespace internal {
+
+// Evaluator of SolveWithGuess -> eval into a temporary
+template<typename Decomposition, typename RhsType, typename GuessType>
+struct evaluator<SolveWithGuess<Decomposition,RhsType, GuessType> >
+  : public evaluator<typename SolveWithGuess<Decomposition,RhsType,GuessType>::PlainObject>
+{
+  typedef SolveWithGuess<Decomposition,RhsType,GuessType> SolveType;
+  typedef typename SolveType::PlainObject PlainObject;
+  typedef evaluator<PlainObject> Base;
+
+  evaluator(const SolveType& solve)
+    : m_result(solve.rows(), solve.cols())
+  {
+    ::new (static_cast<Base*>(this)) Base(m_result);
+    m_result = solve.guess();
+    solve.dec()._solve_with_guess_impl(solve.rhs(), m_result);
+  }
+  
+protected:  
+  PlainObject m_result;
+};
+
+// Specialization for "dst = dec.solveWithGuess(rhs)"
+// NOTE we need to specialize it for Dense2Dense to avoid ambiguous specialization error and a Sparse2Sparse specialization must exist somewhere
+template<typename DstXprType, typename DecType, typename RhsType, typename GuessType, typename Scalar>
+struct Assignment<DstXprType, SolveWithGuess<DecType,RhsType,GuessType>, internal::assign_op<Scalar,Scalar>, Dense2Dense>
+{
+  typedef SolveWithGuess<DecType,RhsType,GuessType> SrcXprType;
+  static void run(DstXprType &dst, const SrcXprType &src, const internal::assign_op<Scalar,Scalar> &)
+  {
+    Index dstRows = src.rows();
+    Index dstCols = src.cols();
+    if((dst.rows()!=dstRows) || (dst.cols()!=dstCols))
+      dst.resize(dstRows, dstCols);
+
+    dst = src.guess();
+    src.dec()._solve_with_guess_impl(src.rhs(), dst/*, src.guess()*/);
+  }
+};
+
+} // end namepsace internal
+
+} // end namespace Eigen
+
+#endif // EIGEN_SOLVEWITHGUESS_H
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/IterativeLinearSolvers/ConjugateGradient.h
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/IterativeLinearSolvers/ConjugateGradient.h	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/IterativeLinearSolvers/ConjugateGradient.h	(revision 3761)
@@ -0,0 +1,246 @@
+// This file is part of Eigen, a lightweight C++ template library
+// for linear algebra.
+//
+// Copyright (C) 2011-2014 Gael Guennebaud <gael.guennebaud@inria.fr>
+//
+// This Source Code Form is subject to the terms of the Mozilla
+// Public License v. 2.0. If a copy of the MPL was not distributed
+// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
+
+#ifndef EIGEN_CONJUGATE_GRADIENT_H
+#define EIGEN_CONJUGATE_GRADIENT_H
+
+namespace Eigen { 
+
+namespace internal {
+
+/** \internal Low-level conjugate gradient algorithm
+  * \param mat The matrix A
+  * \param rhs The right hand side vector b
+  * \param x On input and initial solution, on output the computed solution.
+  * \param precond A preconditioner being able to efficiently solve for an
+  *                approximation of Ax=b (regardless of b)
+  * \param iters On input the max number of iteration, on output the number of performed iterations.
+  * \param tol_error On input the tolerance error, on output an estimation of the relative error.
+  */
+template<typename MatrixType, typename Rhs, typename Dest, typename Preconditioner>
+EIGEN_DONT_INLINE
+void conjugate_gradient(const MatrixType& mat, const Rhs& rhs, Dest& x,
+                        const Preconditioner& precond, Index& iters,
+                        typename Dest::RealScalar& tol_error)
+{
+  using std::sqrt;
+  using std::abs;
+  typedef typename Dest::RealScalar RealScalar;
+  typedef typename Dest::Scalar Scalar;
+  typedef Matrix<Scalar,Dynamic,1> VectorType;
+  
+  RealScalar tol = tol_error;
+  Index maxIters = iters;
+  
+  Index n = mat.cols();
+
+  VectorType residual = rhs - mat * x; //initial residual
+
+  RealScalar rhsNorm2 = rhs.squaredNorm();
+  if(rhsNorm2 == 0) 
+  {
+    x.setZero();
+    iters = 0;
+    tol_error = 0;
+    return;
+  }
+  const RealScalar considerAsZero = (std::numeric_limits<RealScalar>::min)();
+  RealScalar threshold = numext::maxi(tol*tol*rhsNorm2,considerAsZero);
+  RealScalar residualNorm2 = residual.squaredNorm();
+  if (residualNorm2 < threshold)
+  {
+    iters = 0;
+    tol_error = sqrt(residualNorm2 / rhsNorm2);
+    return;
+  }
+
+  VectorType p(n);
+  p = precond.solve(residual);      // initial search direction
+
+  VectorType z(n), tmp(n);
+  RealScalar absNew = numext::real(residual.dot(p));  // the square of the absolute value of r scaled by invM
+  Index i = 0;
+  while(i < maxIters)
+  {
+    tmp.noalias() = mat * p;                    // the bottleneck of the algorithm
+
+    Scalar alpha = absNew / p.dot(tmp);         // the amount we travel on dir
+    x += alpha * p;                             // update solution
+    residual -= alpha * tmp;                    // update residual
+    
+    residualNorm2 = residual.squaredNorm();
+    if(residualNorm2 < threshold)
+      break;
+    
+    z = precond.solve(residual);                // approximately solve for "A z = residual"
+
+    RealScalar absOld = absNew;
+    absNew = numext::real(residual.dot(z));     // update the absolute value of r
+    RealScalar beta = absNew / absOld;          // calculate the Gram-Schmidt value used to create the new search direction
+    p = z + beta * p;                           // update search direction
+    i++;
+  }
+  tol_error = sqrt(residualNorm2 / rhsNorm2);
+  iters = i;
+}
+
+}
+
+template< typename _MatrixType, int _UpLo=Lower,
+          typename _Preconditioner = DiagonalPreconditioner<typename _MatrixType::Scalar> >
+class ConjugateGradient;
+
+namespace internal {
+
+template< typename _MatrixType, int _UpLo, typename _Preconditioner>
+struct traits<ConjugateGradient<_MatrixType,_UpLo,_Preconditioner> >
+{
+  typedef _MatrixType MatrixType;
+  typedef _Preconditioner Preconditioner;
+};
+
+}
+
+/** \ingroup IterativeLinearSolvers_Module
+  * \brief A conjugate gradient solver for sparse (or dense) self-adjoint problems
+  *
+  * This class allows to solve for A.x = b linear problems using an iterative conjugate gradient algorithm.
+  * The matrix A must be selfadjoint. The matrix A and the vectors x and b can be either dense or sparse.
+  *
+  * \tparam _MatrixType the type of the matrix A, can be a dense or a sparse matrix.
+  * \tparam _UpLo the triangular part that will be used for the computations. It can be Lower,
+  *               \c Upper, or \c Lower|Upper in which the full matrix entries will be considered.
+  *               Default is \c Lower, best performance is \c Lower|Upper.
+  * \tparam _Preconditioner the type of the preconditioner. Default is DiagonalPreconditioner
+  *
+  * \implsparsesolverconcept
+  *
+  * The maximal number of iterations and tolerance value can be controlled via the setMaxIterations()
+  * and setTolerance() methods. The defaults are the size of the problem for the maximal number of iterations
+  * and NumTraits<Scalar>::epsilon() for the tolerance.
+  * 
+  * The tolerance corresponds to the relative residual error: |Ax-b|/|b|
+  * 
+  * \b Performance: Even though the default value of \c _UpLo is \c Lower, significantly higher performance is
+  * achieved when using a complete matrix and \b Lower|Upper as the \a _UpLo template parameter. Moreover, in this
+  * case multi-threading can be exploited if the user code is compiled with OpenMP enabled.
+  * See \ref TopicMultiThreading for details.
+  * 
+  * This class can be used as the direct solver classes. Here is a typical usage example:
+    \code
+    int n = 10000;
+    VectorXd x(n), b(n);
+    SparseMatrix<double> A(n,n);
+    // fill A and b
+    ConjugateGradient<SparseMatrix<double>, Lower|Upper> cg;
+    cg.compute(A);
+    x = cg.solve(b);
+    std::cout << "#iterations:     " << cg.iterations() << std::endl;
+    std::cout << "estimated error: " << cg.error()      << std::endl;
+    // update b, and solve again
+    x = cg.solve(b);
+    \endcode
+  * 
+  * By default the iterations start with x=0 as an initial guess of the solution.
+  * One can control the start using the solveWithGuess() method.
+  * 
+  * ConjugateGradient can also be used in a matrix-free context, see the following \link MatrixfreeSolverExample example \endlink.
+  *
+  * \sa class LeastSquaresConjugateGradient, class SimplicialCholesky, DiagonalPreconditioner, IdentityPreconditioner
+  */
+template< typename _MatrixType, int _UpLo, typename _Preconditioner>
+class ConjugateGradient : public IterativeSolverBase<ConjugateGradient<_MatrixType,_UpLo,_Preconditioner> >
+{
+  typedef IterativeSolverBase<ConjugateGradient> Base;
+  using Base::matrix;
+  using Base::m_error;
+  using Base::m_iterations;
+  using Base::m_info;
+  using Base::m_isInitialized;
+public:
+  typedef _MatrixType MatrixType;
+  typedef typename MatrixType::Scalar Scalar;
+  typedef typename MatrixType::RealScalar RealScalar;
+  typedef _Preconditioner Preconditioner;
+
+  enum {
+    UpLo = _UpLo
+  };
+
+public:
+
+  /** Default constructor. */
+  ConjugateGradient() : Base() {}
+
+  /** Initialize the solver with matrix \a A for further \c Ax=b solving.
+    * 
+    * This constructor is a shortcut for the default constructor followed
+    * by a call to compute().
+    * 
+    * \warning this class stores a reference to the matrix A as well as some
+    * precomputed values that depend on it. Therefore, if \a A is changed
+    * this class becomes invalid. Call compute() to update it with the new
+    * matrix A, or modify a copy of A.
+    */
+  template<typename MatrixDerived>
+  explicit ConjugateGradient(const EigenBase<MatrixDerived>& A) : Base(A.derived()) {}
+
+  ~ConjugateGradient() {}
+
+  /** \internal */
+  template<typename Rhs,typename Dest>
+  void _solve_with_guess_impl(const Rhs& b, Dest& x) const
+  {
+    typedef typename Base::MatrixWrapper MatrixWrapper;
+    typedef typename Base::ActualMatrixType ActualMatrixType;
+    enum {
+      TransposeInput  =   (!MatrixWrapper::MatrixFree)
+                      &&  (UpLo==(Lower|Upper))
+                      &&  (!MatrixType::IsRowMajor)
+                      &&  (!NumTraits<Scalar>::IsComplex)
+    };
+    typedef typename internal::conditional<TransposeInput,Transpose<const ActualMatrixType>, ActualMatrixType const&>::type RowMajorWrapper;
+    EIGEN_STATIC_ASSERT(EIGEN_IMPLIES(MatrixWrapper::MatrixFree,UpLo==(Lower|Upper)),MATRIX_FREE_CONJUGATE_GRADIENT_IS_COMPATIBLE_WITH_UPPER_UNION_LOWER_MODE_ONLY);
+    typedef typename internal::conditional<UpLo==(Lower|Upper),
+                                           RowMajorWrapper,
+                                           typename MatrixWrapper::template ConstSelfAdjointViewReturnType<UpLo>::Type
+                                          >::type SelfAdjointWrapper;
+    m_iterations = Base::maxIterations();
+    m_error = Base::m_tolerance;
+
+    for(Index j=0; j<b.cols(); ++j)
+    {
+      m_iterations = Base::maxIterations();
+      m_error = Base::m_tolerance;
+
+      typename Dest::ColXpr xj(x,j);
+      RowMajorWrapper row_mat(matrix());
+      internal::conjugate_gradient(SelfAdjointWrapper(row_mat), b.col(j), xj, Base::m_preconditioner, m_iterations, m_error);
+    }
+
+    m_isInitialized = true;
+    m_info = m_error <= Base::m_tolerance ? Success : NoConvergence;
+  }
+  
+  /** \internal */
+  using Base::_solve_impl;
+  template<typename Rhs,typename Dest>
+  void _solve_impl(const MatrixBase<Rhs>& b, Dest& x) const
+  {
+    x.setZero();
+    _solve_with_guess_impl(b.derived(),x);
+  }
+
+protected:
+
+};
+
+} // end namespace Eigen
+
+#endif // EIGEN_CONJUGATE_GRADIENT_H
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/IterativeLinearSolvers/BiCGSTAB.h
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/IterativeLinearSolvers/BiCGSTAB.h	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/IterativeLinearSolvers/BiCGSTAB.h	(revision 3761)
@@ -0,0 +1,228 @@
+// This file is part of Eigen, a lightweight C++ template library
+// for linear algebra.
+//
+// Copyright (C) 2011-2014 Gael Guennebaud <gael.guennebaud@inria.fr>
+// Copyright (C) 2012 DÃ©sirÃ© Nuentsa-Wakam <desire.nuentsa_wakam@inria.fr>
+//
+// This Source Code Form is subject to the terms of the Mozilla
+// Public License v. 2.0. If a copy of the MPL was not distributed
+// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
+
+#ifndef EIGEN_BICGSTAB_H
+#define EIGEN_BICGSTAB_H
+
+namespace Eigen { 
+
+namespace internal {
+
+/** \internal Low-level bi conjugate gradient stabilized algorithm
+  * \param mat The matrix A
+  * \param rhs The right hand side vector b
+  * \param x On input and initial solution, on output the computed solution.
+  * \param precond A preconditioner being able to efficiently solve for an
+  *                approximation of Ax=b (regardless of b)
+  * \param iters On input the max number of iteration, on output the number of performed iterations.
+  * \param tol_error On input the tolerance error, on output an estimation of the relative error.
+  * \return false in the case of numerical issue, for example a break down of BiCGSTAB. 
+  */
+template<typename MatrixType, typename Rhs, typename Dest, typename Preconditioner>
+bool bicgstab(const MatrixType& mat, const Rhs& rhs, Dest& x,
+              const Preconditioner& precond, Index& iters,
+              typename Dest::RealScalar& tol_error)
+{
+  using std::sqrt;
+  using std::abs;
+  typedef typename Dest::RealScalar RealScalar;
+  typedef typename Dest::Scalar Scalar;
+  typedef Matrix<Scalar,Dynamic,1> VectorType;
+  RealScalar tol = tol_error;
+  Index maxIters = iters;
+
+  Index n = mat.cols();
+  VectorType r  = rhs - mat * x;
+  VectorType r0 = r;
+  
+  RealScalar r0_sqnorm = r0.squaredNorm();
+  RealScalar rhs_sqnorm = rhs.squaredNorm();
+  if(rhs_sqnorm == 0)
+  {
+    x.setZero();
+    return true;
+  }
+  Scalar rho    = 1;
+  Scalar alpha  = 1;
+  Scalar w      = 1;
+  
+  VectorType v = VectorType::Zero(n), p = VectorType::Zero(n);
+  VectorType y(n),  z(n);
+  VectorType kt(n), ks(n);
+
+  VectorType s(n), t(n);
+
+  RealScalar tol2 = tol*tol*rhs_sqnorm;
+  RealScalar eps2 = NumTraits<Scalar>::epsilon()*NumTraits<Scalar>::epsilon();
+  Index i = 0;
+  Index restarts = 0;
+
+  while ( r.squaredNorm() > tol2 && i<maxIters )
+  {
+    Scalar rho_old = rho;
+
+    rho = r0.dot(r);
+    if (abs(rho) < eps2*r0_sqnorm)
+    {
+      // The new residual vector became too orthogonal to the arbitrarily chosen direction r0
+      // Let's restart with a new r0:
+      r  = rhs - mat * x;
+      r0 = r;
+      rho = r0_sqnorm = r.squaredNorm();
+      if(restarts++ == 0)
+        i = 0;
+    }
+    Scalar beta = (rho/rho_old) * (alpha / w);
+    p = r + beta * (p - w * v);
+    
+    y = precond.solve(p);
+    
+    v.noalias() = mat * y;
+
+    alpha = rho / r0.dot(v);
+    s = r - alpha * v;
+
+    z = precond.solve(s);
+    t.noalias() = mat * z;
+
+    RealScalar tmp = t.squaredNorm();
+    if(tmp>RealScalar(0))
+      w = t.dot(s) / tmp;
+    else
+      w = Scalar(0);
+    x += alpha * y + w * z;
+    r = s - w * t;
+    ++i;
+  }
+  tol_error = sqrt(r.squaredNorm()/rhs_sqnorm);
+  iters = i;
+  return true; 
+}
+
+}
+
+template< typename _MatrixType,
+          typename _Preconditioner = DiagonalPreconditioner<typename _MatrixType::Scalar> >
+class BiCGSTAB;
+
+namespace internal {
+
+template< typename _MatrixType, typename _Preconditioner>
+struct traits<BiCGSTAB<_MatrixType,_Preconditioner> >
+{
+  typedef _MatrixType MatrixType;
+  typedef _Preconditioner Preconditioner;
+};
+
+}
+
+/** \ingroup IterativeLinearSolvers_Module
+  * \brief A bi conjugate gradient stabilized solver for sparse square problems
+  *
+  * This class allows to solve for A.x = b sparse linear problems using a bi conjugate gradient
+  * stabilized algorithm. The vectors x and b can be either dense or sparse.
+  *
+  * \tparam _MatrixType the type of the sparse matrix A, can be a dense or a sparse matrix.
+  * \tparam _Preconditioner the type of the preconditioner. Default is DiagonalPreconditioner
+  *
+  * \implsparsesolverconcept
+  *
+  * The maximal number of iterations and tolerance value can be controlled via the setMaxIterations()
+  * and setTolerance() methods. The defaults are the size of the problem for the maximal number of iterations
+  * and NumTraits<Scalar>::epsilon() for the tolerance.
+  * 
+  * The tolerance corresponds to the relative residual error: |Ax-b|/|b|
+  * 
+  * \b Performance: when using sparse matrices, best performance is achied for a row-major sparse matrix format.
+  * Moreover, in this case multi-threading can be exploited if the user code is compiled with OpenMP enabled.
+  * See \ref TopicMultiThreading for details.
+  * 
+  * This class can be used as the direct solver classes. Here is a typical usage example:
+  * \include BiCGSTAB_simple.cpp
+  * 
+  * By default the iterations start with x=0 as an initial guess of the solution.
+  * One can control the start using the solveWithGuess() method.
+  * 
+  * BiCGSTAB can also be used in a matrix-free context, see the following \link MatrixfreeSolverExample example \endlink.
+  *
+  * \sa class SimplicialCholesky, DiagonalPreconditioner, IdentityPreconditioner
+  */
+template< typename _MatrixType, typename _Preconditioner>
+class BiCGSTAB : public IterativeSolverBase<BiCGSTAB<_MatrixType,_Preconditioner> >
+{
+  typedef IterativeSolverBase<BiCGSTAB> Base;
+  using Base::matrix;
+  using Base::m_error;
+  using Base::m_iterations;
+  using Base::m_info;
+  using Base::m_isInitialized;
+public:
+  typedef _MatrixType MatrixType;
+  typedef typename MatrixType::Scalar Scalar;
+  typedef typename MatrixType::RealScalar RealScalar;
+  typedef _Preconditioner Preconditioner;
+
+public:
+
+  /** Default constructor. */
+  BiCGSTAB() : Base() {}
+
+  /** Initialize the solver with matrix \a A for further \c Ax=b solving.
+    * 
+    * This constructor is a shortcut for the default constructor followed
+    * by a call to compute().
+    * 
+    * \warning this class stores a reference to the matrix A as well as some
+    * precomputed values that depend on it. Therefore, if \a A is changed
+    * this class becomes invalid. Call compute() to update it with the new
+    * matrix A, or modify a copy of A.
+    */
+  template<typename MatrixDerived>
+  explicit BiCGSTAB(const EigenBase<MatrixDerived>& A) : Base(A.derived()) {}
+
+  ~BiCGSTAB() {}
+
+  /** \internal */
+  template<typename Rhs,typename Dest>
+  void _solve_with_guess_impl(const Rhs& b, Dest& x) const
+  {    
+    bool failed = false;
+    for(Index j=0; j<b.cols(); ++j)
+    {
+      m_iterations = Base::maxIterations();
+      m_error = Base::m_tolerance;
+      
+      typename Dest::ColXpr xj(x,j);
+      if(!internal::bicgstab(matrix(), b.col(j), xj, Base::m_preconditioner, m_iterations, m_error))
+        failed = true;
+    }
+    m_info = failed ? NumericalIssue
+           : m_error <= Base::m_tolerance ? Success
+           : NoConvergence;
+    m_isInitialized = true;
+  }
+
+  /** \internal */
+  using Base::_solve_impl;
+  template<typename Rhs,typename Dest>
+  void _solve_impl(const MatrixBase<Rhs>& b, Dest& x) const
+  {
+    x.resize(this->rows(),b.cols());
+    x.setZero();
+    _solve_with_guess_impl(b,x);
+  }
+
+protected:
+
+};
+
+} // end namespace Eigen
+
+#endif // EIGEN_BICGSTAB_H
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/PaStiXSupport/PaStiXSupport.h
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/PaStiXSupport/PaStiXSupport.h	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/PaStiXSupport/PaStiXSupport.h	(revision 3761)
@@ -0,0 +1,678 @@
+// This file is part of Eigen, a lightweight C++ template library
+// for linear algebra.
+//
+// Copyright (C) 2012 DÃ©sirÃ© Nuentsa-Wakam <desire.nuentsa_wakam@inria.fr>
+//
+// This Source Code Form is subject to the terms of the Mozilla
+// Public License v. 2.0. If a copy of the MPL was not distributed
+// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
+
+#ifndef EIGEN_PASTIXSUPPORT_H
+#define EIGEN_PASTIXSUPPORT_H
+
+namespace Eigen { 
+
+#if defined(DCOMPLEX)
+  #define PASTIX_COMPLEX  COMPLEX
+  #define PASTIX_DCOMPLEX DCOMPLEX
+#else
+  #define PASTIX_COMPLEX  std::complex<float>
+  #define PASTIX_DCOMPLEX std::complex<double>
+#endif
+
+/** \ingroup PaStiXSupport_Module
+  * \brief Interface to the PaStix solver
+  * 
+  * This class is used to solve the linear systems A.X = B via the PaStix library. 
+  * The matrix can be either real or complex, symmetric or not.
+  *
+  * \sa TutorialSparseDirectSolvers
+  */
+template<typename _MatrixType, bool IsStrSym = false> class PastixLU;
+template<typename _MatrixType, int Options> class PastixLLT;
+template<typename _MatrixType, int Options> class PastixLDLT;
+
+namespace internal
+{
+    
+  template<class Pastix> struct pastix_traits;
+
+  template<typename _MatrixType>
+  struct pastix_traits< PastixLU<_MatrixType> >
+  {
+    typedef _MatrixType MatrixType;
+    typedef typename _MatrixType::Scalar Scalar;
+    typedef typename _MatrixType::RealScalar RealScalar;
+    typedef typename _MatrixType::StorageIndex StorageIndex;
+  };
+
+  template<typename _MatrixType, int Options>
+  struct pastix_traits< PastixLLT<_MatrixType,Options> >
+  {
+    typedef _MatrixType MatrixType;
+    typedef typename _MatrixType::Scalar Scalar;
+    typedef typename _MatrixType::RealScalar RealScalar;
+    typedef typename _MatrixType::StorageIndex StorageIndex;
+  };
+
+  template<typename _MatrixType, int Options>
+  struct pastix_traits< PastixLDLT<_MatrixType,Options> >
+  {
+    typedef _MatrixType MatrixType;
+    typedef typename _MatrixType::Scalar Scalar;
+    typedef typename _MatrixType::RealScalar RealScalar;
+    typedef typename _MatrixType::StorageIndex StorageIndex;
+  };
+  
+  inline void eigen_pastix(pastix_data_t **pastix_data, int pastix_comm, int n, int *ptr, int *idx, float *vals, int *perm, int * invp, float *x, int nbrhs, int *iparm, double *dparm)
+  {
+    if (n == 0) { ptr = NULL; idx = NULL; vals = NULL; }
+    if (nbrhs == 0) {x = NULL; nbrhs=1;}
+    s_pastix(pastix_data, pastix_comm, n, ptr, idx, vals, perm, invp, x, nbrhs, iparm, dparm); 
+  }
+  
+  inline void eigen_pastix(pastix_data_t **pastix_data, int pastix_comm, int n, int *ptr, int *idx, double *vals, int *perm, int * invp, double *x, int nbrhs, int *iparm, double *dparm)
+  {
+    if (n == 0) { ptr = NULL; idx = NULL; vals = NULL; }
+    if (nbrhs == 0) {x = NULL; nbrhs=1;}
+    d_pastix(pastix_data, pastix_comm, n, ptr, idx, vals, perm, invp, x, nbrhs, iparm, dparm); 
+  }
+  
+  inline void eigen_pastix(pastix_data_t **pastix_data, int pastix_comm, int n, int *ptr, int *idx, std::complex<float> *vals, int *perm, int * invp, std::complex<float> *x, int nbrhs, int *iparm, double *dparm)
+  {
+    if (n == 0) { ptr = NULL; idx = NULL; vals = NULL; }
+    if (nbrhs == 0) {x = NULL; nbrhs=1;}
+    c_pastix(pastix_data, pastix_comm, n, ptr, idx, reinterpret_cast<PASTIX_COMPLEX*>(vals), perm, invp, reinterpret_cast<PASTIX_COMPLEX*>(x), nbrhs, iparm, dparm); 
+  }
+  
+  inline void eigen_pastix(pastix_data_t **pastix_data, int pastix_comm, int n, int *ptr, int *idx, std::complex<double> *vals, int *perm, int * invp, std::complex<double> *x, int nbrhs, int *iparm, double *dparm)
+  {
+    if (n == 0) { ptr = NULL; idx = NULL; vals = NULL; }
+    if (nbrhs == 0) {x = NULL; nbrhs=1;}
+    z_pastix(pastix_data, pastix_comm, n, ptr, idx, reinterpret_cast<PASTIX_DCOMPLEX*>(vals), perm, invp, reinterpret_cast<PASTIX_DCOMPLEX*>(x), nbrhs, iparm, dparm); 
+  }
+
+  // Convert the matrix  to Fortran-style Numbering
+  template <typename MatrixType>
+  void c_to_fortran_numbering (MatrixType& mat)
+  {
+    if ( !(mat.outerIndexPtr()[0]) ) 
+    { 
+      int i;
+      for(i = 0; i <= mat.rows(); ++i)
+        ++mat.outerIndexPtr()[i];
+      for(i = 0; i < mat.nonZeros(); ++i)
+        ++mat.innerIndexPtr()[i];
+    }
+  }
+  
+  // Convert to C-style Numbering
+  template <typename MatrixType>
+  void fortran_to_c_numbering (MatrixType& mat)
+  {
+    // Check the Numbering
+    if ( mat.outerIndexPtr()[0] == 1 ) 
+    { // Convert to C-style numbering
+      int i;
+      for(i = 0; i <= mat.rows(); ++i)
+        --mat.outerIndexPtr()[i];
+      for(i = 0; i < mat.nonZeros(); ++i)
+        --mat.innerIndexPtr()[i];
+    }
+  }
+}
+
+// This is the base class to interface with PaStiX functions. 
+// Users should not used this class directly. 
+template <class Derived>
+class PastixBase : public SparseSolverBase<Derived>
+{
+  protected:
+    typedef SparseSolverBase<Derived> Base;
+    using Base::derived;
+    using Base::m_isInitialized;
+  public:
+    using Base::_solve_impl;
+    
+    typedef typename internal::pastix_traits<Derived>::MatrixType _MatrixType;
+    typedef _MatrixType MatrixType;
+    typedef typename MatrixType::Scalar Scalar;
+    typedef typename MatrixType::RealScalar RealScalar;
+    typedef typename MatrixType::StorageIndex StorageIndex;
+    typedef Matrix<Scalar,Dynamic,1> Vector;
+    typedef SparseMatrix<Scalar, ColMajor> ColSpMatrix;
+    enum {
+      ColsAtCompileTime = MatrixType::ColsAtCompileTime,
+      MaxColsAtCompileTime = MatrixType::MaxColsAtCompileTime
+    };
+    
+  public:
+    
+    PastixBase() : m_initisOk(false), m_analysisIsOk(false), m_factorizationIsOk(false), m_pastixdata(0), m_size(0)
+    {
+      init();
+    }
+    
+    ~PastixBase() 
+    {
+      clean();
+    }
+    
+    template<typename Rhs,typename Dest>
+    bool _solve_impl(const MatrixBase<Rhs> &b, MatrixBase<Dest> &x) const;
+    
+    /** Returns a reference to the integer vector IPARM of PaStiX parameters
+      * to modify the default parameters. 
+      * The statistics related to the different phases of factorization and solve are saved here as well
+      * \sa analyzePattern() factorize()
+      */
+    Array<StorageIndex,IPARM_SIZE,1>& iparm()
+    {
+      return m_iparm; 
+    }
+    
+    /** Return a reference to a particular index parameter of the IPARM vector 
+     * \sa iparm()
+     */
+    
+    int& iparm(int idxparam)
+    {
+      return m_iparm(idxparam);
+    }
+    
+     /** Returns a reference to the double vector DPARM of PaStiX parameters 
+      * The statistics related to the different phases of factorization and solve are saved here as well
+      * \sa analyzePattern() factorize()
+      */
+    Array<double,DPARM_SIZE,1>& dparm()
+    {
+      return m_dparm; 
+    }
+    
+    
+    /** Return a reference to a particular index parameter of the DPARM vector 
+     * \sa dparm()
+     */
+    double& dparm(int idxparam)
+    {
+      return m_dparm(idxparam);
+    }
+    
+    inline Index cols() const { return m_size; }
+    inline Index rows() const { return m_size; }
+    
+     /** \brief Reports whether previous computation was successful.
+      *
+      * \returns \c Success if computation was succesful,
+      *          \c NumericalIssue if the PaStiX reports a problem
+      *          \c InvalidInput if the input matrix is invalid
+      *
+      * \sa iparm()          
+      */
+    ComputationInfo info() const
+    {
+      eigen_assert(m_isInitialized && "Decomposition is not initialized.");
+      return m_info;
+    }
+    
+  protected:
+
+    // Initialize the Pastix data structure, check the matrix
+    void init(); 
+    
+    // Compute the ordering and the symbolic factorization
+    void analyzePattern(ColSpMatrix& mat);
+    
+    // Compute the numerical factorization
+    void factorize(ColSpMatrix& mat);
+    
+    // Free all the data allocated by Pastix
+    void clean()
+    {
+      eigen_assert(m_initisOk && "The Pastix structure should be allocated first"); 
+      m_iparm(IPARM_START_TASK) = API_TASK_CLEAN;
+      m_iparm(IPARM_END_TASK) = API_TASK_CLEAN;
+      internal::eigen_pastix(&m_pastixdata, MPI_COMM_WORLD, 0, 0, 0, (Scalar*)0,
+                             m_perm.data(), m_invp.data(), 0, 0, m_iparm.data(), m_dparm.data());
+    }
+    
+    void compute(ColSpMatrix& mat);
+    
+    int m_initisOk; 
+    int m_analysisIsOk;
+    int m_factorizationIsOk;
+    mutable ComputationInfo m_info; 
+    mutable pastix_data_t *m_pastixdata; // Data structure for pastix
+    mutable int m_comm; // The MPI communicator identifier
+    mutable Array<int,IPARM_SIZE,1> m_iparm; // integer vector for the input parameters
+    mutable Array<double,DPARM_SIZE,1> m_dparm; // Scalar vector for the input parameters
+    mutable Matrix<StorageIndex,Dynamic,1> m_perm;  // Permutation vector
+    mutable Matrix<StorageIndex,Dynamic,1> m_invp;  // Inverse permutation vector
+    mutable int m_size; // Size of the matrix 
+}; 
+
+ /** Initialize the PaStiX data structure. 
+   *A first call to this function fills iparm and dparm with the default PaStiX parameters
+   * \sa iparm() dparm()
+   */
+template <class Derived>
+void PastixBase<Derived>::init()
+{
+  m_size = 0; 
+  m_iparm.setZero(IPARM_SIZE);
+  m_dparm.setZero(DPARM_SIZE);
+  
+  m_iparm(IPARM_MODIFY_PARAMETER) = API_NO;
+  pastix(&m_pastixdata, MPI_COMM_WORLD,
+         0, 0, 0, 0,
+         0, 0, 0, 1, m_iparm.data(), m_dparm.data());
+  
+  m_iparm[IPARM_MATRIX_VERIFICATION] = API_NO;
+  m_iparm[IPARM_VERBOSE]             = API_VERBOSE_NOT;
+  m_iparm[IPARM_ORDERING]            = API_ORDER_SCOTCH;
+  m_iparm[IPARM_INCOMPLETE]          = API_NO;
+  m_iparm[IPARM_OOC_LIMIT]           = 2000;
+  m_iparm[IPARM_RHS_MAKING]          = API_RHS_B;
+  m_iparm(IPARM_MATRIX_VERIFICATION) = API_NO;
+  
+  m_iparm(IPARM_START_TASK) = API_TASK_INIT;
+  m_iparm(IPARM_END_TASK) = API_TASK_INIT;
+  internal::eigen_pastix(&m_pastixdata, MPI_COMM_WORLD, 0, 0, 0, (Scalar*)0,
+                         0, 0, 0, 0, m_iparm.data(), m_dparm.data());
+  
+  // Check the returned error
+  if(m_iparm(IPARM_ERROR_NUMBER)) {
+    m_info = InvalidInput;
+    m_initisOk = false;
+  }
+  else { 
+    m_info = Success;
+    m_initisOk = true;
+  }
+}
+
+template <class Derived>
+void PastixBase<Derived>::compute(ColSpMatrix& mat)
+{
+  eigen_assert(mat.rows() == mat.cols() && "The input matrix should be squared");
+  
+  analyzePattern(mat);  
+  factorize(mat);
+  
+  m_iparm(IPARM_MATRIX_VERIFICATION) = API_NO;
+}
+
+
+template <class Derived>
+void PastixBase<Derived>::analyzePattern(ColSpMatrix& mat)
+{                         
+  eigen_assert(m_initisOk && "The initialization of PaSTiX failed");
+  
+  // clean previous calls
+  if(m_size>0)
+    clean();
+  
+  m_size = internal::convert_index<int>(mat.rows());
+  m_perm.resize(m_size);
+  m_invp.resize(m_size);
+  
+  m_iparm(IPARM_START_TASK) = API_TASK_ORDERING;
+  m_iparm(IPARM_END_TASK) = API_TASK_ANALYSE;
+  internal::eigen_pastix(&m_pastixdata, MPI_COMM_WORLD, m_size, mat.outerIndexPtr(), mat.innerIndexPtr(),
+               mat.valuePtr(), m_perm.data(), m_invp.data(), 0, 0, m_iparm.data(), m_dparm.data());
+  
+  // Check the returned error
+  if(m_iparm(IPARM_ERROR_NUMBER))
+  {
+    m_info = NumericalIssue;
+    m_analysisIsOk = false;
+  }
+  else
+  { 
+    m_info = Success;
+    m_analysisIsOk = true;
+  }
+}
+
+template <class Derived>
+void PastixBase<Derived>::factorize(ColSpMatrix& mat)
+{
+//   if(&m_cpyMat != &mat) m_cpyMat = mat;
+  eigen_assert(m_analysisIsOk && "The analysis phase should be called before the factorization phase");
+  m_iparm(IPARM_START_TASK) = API_TASK_NUMFACT;
+  m_iparm(IPARM_END_TASK) = API_TASK_NUMFACT;
+  m_size = internal::convert_index<int>(mat.rows());
+  
+  internal::eigen_pastix(&m_pastixdata, MPI_COMM_WORLD, m_size, mat.outerIndexPtr(), mat.innerIndexPtr(),
+               mat.valuePtr(), m_perm.data(), m_invp.data(), 0, 0, m_iparm.data(), m_dparm.data());
+  
+  // Check the returned error
+  if(m_iparm(IPARM_ERROR_NUMBER))
+  {
+    m_info = NumericalIssue;
+    m_factorizationIsOk = false;
+    m_isInitialized = false;
+  }
+  else
+  {
+    m_info = Success;
+    m_factorizationIsOk = true;
+    m_isInitialized = true;
+  }
+}
+
+/* Solve the system */
+template<typename Base>
+template<typename Rhs,typename Dest>
+bool PastixBase<Base>::_solve_impl(const MatrixBase<Rhs> &b, MatrixBase<Dest> &x) const
+{
+  eigen_assert(m_isInitialized && "The matrix should be factorized first");
+  EIGEN_STATIC_ASSERT((Dest::Flags&RowMajorBit)==0,
+                     THIS_METHOD_IS_ONLY_FOR_COLUMN_MAJOR_MATRICES);
+  int rhs = 1;
+  
+  x = b; /* on return, x is overwritten by the computed solution */
+  
+  for (int i = 0; i < b.cols(); i++){
+    m_iparm[IPARM_START_TASK]          = API_TASK_SOLVE;
+    m_iparm[IPARM_END_TASK]            = API_TASK_REFINE;
+  
+    internal::eigen_pastix(&m_pastixdata, MPI_COMM_WORLD, internal::convert_index<int>(x.rows()), 0, 0, 0,
+                           m_perm.data(), m_invp.data(), &x(0, i), rhs, m_iparm.data(), m_dparm.data());
+  }
+  
+  // Check the returned error
+  m_info = m_iparm(IPARM_ERROR_NUMBER)==0 ? Success : NumericalIssue;
+  
+  return m_iparm(IPARM_ERROR_NUMBER)==0;
+}
+
+/** \ingroup PaStiXSupport_Module
+  * \class PastixLU
+  * \brief Sparse direct LU solver based on PaStiX library
+  * 
+  * This class is used to solve the linear systems A.X = B with a supernodal LU 
+  * factorization in the PaStiX library. The matrix A should be squared and nonsingular
+  * PaStiX requires that the matrix A has a symmetric structural pattern. 
+  * This interface can symmetrize the input matrix otherwise. 
+  * The vectors or matrices X and B can be either dense or sparse.
+  * 
+  * \tparam _MatrixType the type of the sparse matrix A, it must be a SparseMatrix<>
+  * \tparam IsStrSym Indicates if the input matrix has a symmetric pattern, default is false
+  * NOTE : Note that if the analysis and factorization phase are called separately, 
+  * the input matrix will be symmetrized at each call, hence it is advised to 
+  * symmetrize the matrix in a end-user program and set \p IsStrSym to true
+  *
+  * \implsparsesolverconcept
+  *
+  * \sa \ref TutorialSparseSolverConcept, class SparseLU
+  * 
+  */
+template<typename _MatrixType, bool IsStrSym>
+class PastixLU : public PastixBase< PastixLU<_MatrixType> >
+{
+  public:
+    typedef _MatrixType MatrixType;
+    typedef PastixBase<PastixLU<MatrixType> > Base;
+    typedef typename Base::ColSpMatrix ColSpMatrix;
+    typedef typename MatrixType::StorageIndex StorageIndex;
+    
+  public:
+    PastixLU() : Base()
+    {
+      init();
+    }
+    
+    explicit PastixLU(const MatrixType& matrix):Base()
+    {
+      init();
+      compute(matrix);
+    }
+    /** Compute the LU supernodal factorization of \p matrix. 
+      * iparm and dparm can be used to tune the PaStiX parameters. 
+      * see the PaStiX user's manual
+      * \sa analyzePattern() factorize()
+      */
+    void compute (const MatrixType& matrix)
+    {
+      m_structureIsUptodate = false;
+      ColSpMatrix temp;
+      grabMatrix(matrix, temp);
+      Base::compute(temp);
+    }
+    /** Compute the LU symbolic factorization of \p matrix using its sparsity pattern. 
+      * Several ordering methods can be used at this step. See the PaStiX user's manual. 
+      * The result of this operation can be used with successive matrices having the same pattern as \p matrix
+      * \sa factorize()
+      */
+    void analyzePattern(const MatrixType& matrix)
+    {
+      m_structureIsUptodate = false;
+      ColSpMatrix temp;
+      grabMatrix(matrix, temp);
+      Base::analyzePattern(temp);
+    }
+
+    /** Compute the LU supernodal factorization of \p matrix
+      * WARNING The matrix \p matrix should have the same structural pattern 
+      * as the same used in the analysis phase.
+      * \sa analyzePattern()
+      */ 
+    void factorize(const MatrixType& matrix)
+    {
+      ColSpMatrix temp;
+      grabMatrix(matrix, temp);
+      Base::factorize(temp);
+    }
+  protected:
+    
+    void init()
+    {
+      m_structureIsUptodate = false;
+      m_iparm(IPARM_SYM) = API_SYM_NO;
+      m_iparm(IPARM_FACTORIZATION) = API_FACT_LU;
+    }
+    
+    void grabMatrix(const MatrixType& matrix, ColSpMatrix& out)
+    {
+      if(IsStrSym)
+        out = matrix;
+      else
+      {
+        if(!m_structureIsUptodate)
+        {
+          // update the transposed structure
+          m_transposedStructure = matrix.transpose();
+          
+          // Set the elements of the matrix to zero 
+          for (Index j=0; j<m_transposedStructure.outerSize(); ++j) 
+            for(typename ColSpMatrix::InnerIterator it(m_transposedStructure, j); it; ++it)
+              it.valueRef() = 0.0;
+
+          m_structureIsUptodate = true;
+        }
+        
+        out = m_transposedStructure + matrix;
+      }
+      internal::c_to_fortran_numbering(out);
+    }
+    
+    using Base::m_iparm;
+    using Base::m_dparm;
+    
+    ColSpMatrix m_transposedStructure;
+    bool m_structureIsUptodate;
+};
+
+/** \ingroup PaStiXSupport_Module
+  * \class PastixLLT
+  * \brief A sparse direct supernodal Cholesky (LLT) factorization and solver based on the PaStiX library
+  * 
+  * This class is used to solve the linear systems A.X = B via a LL^T supernodal Cholesky factorization
+  * available in the PaStiX library. The matrix A should be symmetric and positive definite
+  * WARNING Selfadjoint complex matrices are not supported in the current version of PaStiX
+  * The vectors or matrices X and B can be either dense or sparse
+  * 
+  * \tparam MatrixType the type of the sparse matrix A, it must be a SparseMatrix<>
+  * \tparam UpLo The part of the matrix to use : Lower or Upper. The default is Lower as required by PaStiX
+  *
+  * \implsparsesolverconcept
+  *
+  * \sa \ref TutorialSparseSolverConcept, class SimplicialLLT
+  */
+template<typename _MatrixType, int _UpLo>
+class PastixLLT : public PastixBase< PastixLLT<_MatrixType, _UpLo> >
+{
+  public:
+    typedef _MatrixType MatrixType;
+    typedef PastixBase<PastixLLT<MatrixType, _UpLo> > Base;
+    typedef typename Base::ColSpMatrix ColSpMatrix;
+    
+  public:
+    enum { UpLo = _UpLo };
+    PastixLLT() : Base()
+    {
+      init();
+    }
+    
+    explicit PastixLLT(const MatrixType& matrix):Base()
+    {
+      init();
+      compute(matrix);
+    }
+
+    /** Compute the L factor of the LL^T supernodal factorization of \p matrix 
+      * \sa analyzePattern() factorize()
+      */
+    void compute (const MatrixType& matrix)
+    {
+      ColSpMatrix temp;
+      grabMatrix(matrix, temp);
+      Base::compute(temp);
+    }
+
+     /** Compute the LL^T symbolic factorization of \p matrix using its sparsity pattern
+      * The result of this operation can be used with successive matrices having the same pattern as \p matrix
+      * \sa factorize()
+      */
+    void analyzePattern(const MatrixType& matrix)
+    {
+      ColSpMatrix temp;
+      grabMatrix(matrix, temp);
+      Base::analyzePattern(temp);
+    }
+      /** Compute the LL^T supernodal numerical factorization of \p matrix 
+        * \sa analyzePattern()
+        */
+    void factorize(const MatrixType& matrix)
+    {
+      ColSpMatrix temp;
+      grabMatrix(matrix, temp);
+      Base::factorize(temp);
+    }
+  protected:
+    using Base::m_iparm;
+    
+    void init()
+    {
+      m_iparm(IPARM_SYM) = API_SYM_YES;
+      m_iparm(IPARM_FACTORIZATION) = API_FACT_LLT;
+    }
+    
+    void grabMatrix(const MatrixType& matrix, ColSpMatrix& out)
+    {
+      out.resize(matrix.rows(), matrix.cols());
+      // Pastix supports only lower, column-major matrices 
+      out.template selfadjointView<Lower>() = matrix.template selfadjointView<UpLo>();
+      internal::c_to_fortran_numbering(out);
+    }
+};
+
+/** \ingroup PaStiXSupport_Module
+  * \class PastixLDLT
+  * \brief A sparse direct supernodal Cholesky (LLT) factorization and solver based on the PaStiX library
+  * 
+  * This class is used to solve the linear systems A.X = B via a LDL^T supernodal Cholesky factorization
+  * available in the PaStiX library. The matrix A should be symmetric and positive definite
+  * WARNING Selfadjoint complex matrices are not supported in the current version of PaStiX
+  * The vectors or matrices X and B can be either dense or sparse
+  * 
+  * \tparam MatrixType the type of the sparse matrix A, it must be a SparseMatrix<>
+  * \tparam UpLo The part of the matrix to use : Lower or Upper. The default is Lower as required by PaStiX
+  *
+  * \implsparsesolverconcept
+  *
+  * \sa \ref TutorialSparseSolverConcept, class SimplicialLDLT
+  */
+template<typename _MatrixType, int _UpLo>
+class PastixLDLT : public PastixBase< PastixLDLT<_MatrixType, _UpLo> >
+{
+  public:
+    typedef _MatrixType MatrixType;
+    typedef PastixBase<PastixLDLT<MatrixType, _UpLo> > Base; 
+    typedef typename Base::ColSpMatrix ColSpMatrix;
+    
+  public:
+    enum { UpLo = _UpLo };
+    PastixLDLT():Base()
+    {
+      init();
+    }
+    
+    explicit PastixLDLT(const MatrixType& matrix):Base()
+    {
+      init();
+      compute(matrix);
+    }
+
+    /** Compute the L and D factors of the LDL^T factorization of \p matrix 
+      * \sa analyzePattern() factorize()
+      */
+    void compute (const MatrixType& matrix)
+    {
+      ColSpMatrix temp;
+      grabMatrix(matrix, temp);
+      Base::compute(temp);
+    }
+
+    /** Compute the LDL^T symbolic factorization of \p matrix using its sparsity pattern
+      * The result of this operation can be used with successive matrices having the same pattern as \p matrix
+      * \sa factorize()
+      */
+    void analyzePattern(const MatrixType& matrix)
+    { 
+      ColSpMatrix temp;
+      grabMatrix(matrix, temp);
+      Base::analyzePattern(temp);
+    }
+    /** Compute the LDL^T supernodal numerical factorization of \p matrix 
+      * 
+      */
+    void factorize(const MatrixType& matrix)
+    {
+      ColSpMatrix temp;
+      grabMatrix(matrix, temp);
+      Base::factorize(temp);
+    }
+
+  protected:
+    using Base::m_iparm;
+    
+    void init()
+    {
+      m_iparm(IPARM_SYM) = API_SYM_YES;
+      m_iparm(IPARM_FACTORIZATION) = API_FACT_LDLT;
+    }
+    
+    void grabMatrix(const MatrixType& matrix, ColSpMatrix& out)
+    {
+      // Pastix supports only lower, column-major matrices 
+      out.resize(matrix.rows(), matrix.cols());
+      out.template selfadjointView<Lower>() = matrix.template selfadjointView<UpLo>();
+      internal::c_to_fortran_numbering(out);
+    }
+};
+
+} // end namespace Eigen
+
+#endif
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/SparseCore/SparseVector.h
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/SparseCore/SparseVector.h	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/SparseCore/SparseVector.h	(revision 3761)
@@ -0,0 +1,478 @@
+// This file is part of Eigen, a lightweight C++ template library
+// for linear algebra.
+//
+// Copyright (C) 2008-2015 Gael Guennebaud <gael.guennebaud@inria.fr>
+//
+// This Source Code Form is subject to the terms of the Mozilla
+// Public License v. 2.0. If a copy of the MPL was not distributed
+// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
+
+#ifndef EIGEN_SPARSEVECTOR_H
+#define EIGEN_SPARSEVECTOR_H
+
+namespace Eigen { 
+
+/** \ingroup SparseCore_Module
+  * \class SparseVector
+  *
+  * \brief a sparse vector class
+  *
+  * \tparam _Scalar the scalar type, i.e. the type of the coefficients
+  *
+  * See http://www.netlib.org/linalg/html_templates/node91.html for details on the storage scheme.
+  *
+  * This class can be extended with the help of the plugin mechanism described on the page
+  * \ref TopicCustomizing_Plugins by defining the preprocessor symbol \c EIGEN_SPARSEVECTOR_PLUGIN.
+  */
+
+namespace internal {
+template<typename _Scalar, int _Options, typename _StorageIndex>
+struct traits<SparseVector<_Scalar, _Options, _StorageIndex> >
+{
+  typedef _Scalar Scalar;
+  typedef _StorageIndex StorageIndex;
+  typedef Sparse StorageKind;
+  typedef MatrixXpr XprKind;
+  enum {
+    IsColVector = (_Options & RowMajorBit) ? 0 : 1,
+
+    RowsAtCompileTime = IsColVector ? Dynamic : 1,
+    ColsAtCompileTime = IsColVector ? 1 : Dynamic,
+    MaxRowsAtCompileTime = RowsAtCompileTime,
+    MaxColsAtCompileTime = ColsAtCompileTime,
+    Flags = _Options | NestByRefBit | LvalueBit | (IsColVector ? 0 : RowMajorBit) | CompressedAccessBit,
+    SupportedAccessPatterns = InnerRandomAccessPattern
+  };
+};
+
+// Sparse-Vector-Assignment kinds:
+enum {
+  SVA_RuntimeSwitch,
+  SVA_Inner,
+  SVA_Outer
+};
+
+template< typename Dest, typename Src,
+          int AssignmentKind = !bool(Src::IsVectorAtCompileTime) ? SVA_RuntimeSwitch
+                             : Src::InnerSizeAtCompileTime==1 ? SVA_Outer
+                             : SVA_Inner>
+struct sparse_vector_assign_selector;
+
+}
+
+template<typename _Scalar, int _Options, typename _StorageIndex>
+class SparseVector
+  : public SparseCompressedBase<SparseVector<_Scalar, _Options, _StorageIndex> >
+{
+    typedef SparseCompressedBase<SparseVector> Base;
+    using Base::convert_index;
+  public:
+    EIGEN_SPARSE_PUBLIC_INTERFACE(SparseVector)
+    EIGEN_SPARSE_INHERIT_ASSIGNMENT_OPERATOR(SparseVector, +=)
+    EIGEN_SPARSE_INHERIT_ASSIGNMENT_OPERATOR(SparseVector, -=)
+    
+    typedef internal::CompressedStorage<Scalar,StorageIndex> Storage;
+    enum { IsColVector = internal::traits<SparseVector>::IsColVector };
+    
+    enum {
+      Options = _Options
+    };
+    
+    EIGEN_STRONG_INLINE Index rows() const { return IsColVector ? m_size : 1; }
+    EIGEN_STRONG_INLINE Index cols() const { return IsColVector ? 1 : m_size; }
+    EIGEN_STRONG_INLINE Index innerSize() const { return m_size; }
+    EIGEN_STRONG_INLINE Index outerSize() const { return 1; }
+
+    EIGEN_STRONG_INLINE const Scalar* valuePtr() const { return m_data.valuePtr(); }
+    EIGEN_STRONG_INLINE Scalar* valuePtr() { return m_data.valuePtr(); }
+
+    EIGEN_STRONG_INLINE const StorageIndex* innerIndexPtr() const { return m_data.indexPtr(); }
+    EIGEN_STRONG_INLINE StorageIndex* innerIndexPtr() { return m_data.indexPtr(); }
+
+    inline const StorageIndex* outerIndexPtr() const { return 0; }
+    inline StorageIndex* outerIndexPtr() { return 0; }
+    inline const StorageIndex* innerNonZeroPtr() const { return 0; }
+    inline StorageIndex* innerNonZeroPtr() { return 0; }
+    
+    /** \internal */
+    inline Storage& data() { return m_data; }
+    /** \internal */
+    inline const Storage& data() const { return m_data; }
+
+    inline Scalar coeff(Index row, Index col) const
+    {
+      eigen_assert(IsColVector ? (col==0 && row>=0 && row<m_size) : (row==0 && col>=0 && col<m_size));
+      return coeff(IsColVector ? row : col);
+    }
+    inline Scalar coeff(Index i) const
+    {
+      eigen_assert(i>=0 && i<m_size);
+      return m_data.at(StorageIndex(i));
+    }
+
+    inline Scalar& coeffRef(Index row, Index col)
+    {
+      eigen_assert(IsColVector ? (col==0 && row>=0 && row<m_size) : (row==0 && col>=0 && col<m_size));
+      return coeffRef(IsColVector ? row : col);
+    }
+
+    /** \returns a reference to the coefficient value at given index \a i
+      * This operation involes a log(rho*size) binary search. If the coefficient does not
+      * exist yet, then a sorted insertion into a sequential buffer is performed.
+      *
+      * This insertion might be very costly if the number of nonzeros above \a i is large.
+      */
+    inline Scalar& coeffRef(Index i)
+    {
+      eigen_assert(i>=0 && i<m_size);
+
+      return m_data.atWithInsertion(StorageIndex(i));
+    }
+
+  public:
+
+    typedef typename Base::InnerIterator InnerIterator;
+    typedef typename Base::ReverseInnerIterator ReverseInnerIterator;
+
+    inline void setZero() { m_data.clear(); }
+
+    /** \returns the number of non zero coefficients */
+    inline Index nonZeros() const  { return m_data.size(); }
+
+    inline void startVec(Index outer)
+    {
+      EIGEN_UNUSED_VARIABLE(outer);
+      eigen_assert(outer==0);
+    }
+
+    inline Scalar& insertBackByOuterInner(Index outer, Index inner)
+    {
+      EIGEN_UNUSED_VARIABLE(outer);
+      eigen_assert(outer==0);
+      return insertBack(inner);
+    }
+    inline Scalar& insertBack(Index i)
+    {
+      m_data.append(0, i);
+      return m_data.value(m_data.size()-1);
+    }
+    
+    Scalar& insertBackByOuterInnerUnordered(Index outer, Index inner)
+    {
+      EIGEN_UNUSED_VARIABLE(outer);
+      eigen_assert(outer==0);
+      return insertBackUnordered(inner);
+    }
+    inline Scalar& insertBackUnordered(Index i)
+    {
+      m_data.append(0, i);
+      return m_data.value(m_data.size()-1);
+    }
+
+    inline Scalar& insert(Index row, Index col)
+    {
+      eigen_assert(IsColVector ? (col==0 && row>=0 && row<m_size) : (row==0 && col>=0 && col<m_size));
+      
+      Index inner = IsColVector ? row : col;
+      Index outer = IsColVector ? col : row;
+      EIGEN_ONLY_USED_FOR_DEBUG(outer);
+      eigen_assert(outer==0);
+      return insert(inner);
+    }
+    Scalar& insert(Index i)
+    {
+      eigen_assert(i>=0 && i<m_size);
+      
+      Index startId = 0;
+      Index p = Index(m_data.size()) - 1;
+      // TODO smart realloc
+      m_data.resize(p+2,1);
+
+      while ( (p >= startId) && (m_data.index(p) > i) )
+      {
+        m_data.index(p+1) = m_data.index(p);
+        m_data.value(p+1) = m_data.value(p);
+        --p;
+      }
+      m_data.index(p+1) = convert_index(i);
+      m_data.value(p+1) = 0;
+      return m_data.value(p+1);
+    }
+
+    /**
+      */
+    inline void reserve(Index reserveSize) { m_data.reserve(reserveSize); }
+
+
+    inline void finalize() {}
+
+    /** \copydoc SparseMatrix::prune(const Scalar&,const RealScalar&) */
+    void prune(const Scalar& reference, const RealScalar& epsilon = NumTraits<RealScalar>::dummy_precision())
+    {
+      m_data.prune(reference,epsilon);
+    }
+
+    /** Resizes the sparse vector to \a rows x \a cols
+      *
+      * This method is provided for compatibility with matrices.
+      * For a column vector, \a cols must be equal to 1.
+      * For a row vector, \a rows must be equal to 1.
+      *
+      * \sa resize(Index)
+      */
+    void resize(Index rows, Index cols)
+    {
+      eigen_assert((IsColVector ? cols : rows)==1 && "Outer dimension must equal 1");
+      resize(IsColVector ? rows : cols);
+    }
+
+    /** Resizes the sparse vector to \a newSize
+      * This method deletes all entries, thus leaving an empty sparse vector
+      *
+      * \sa  conservativeResize(), setZero() */
+    void resize(Index newSize)
+    {
+      m_size = newSize;
+      m_data.clear();
+    }
+
+    /** Resizes the sparse vector to \a newSize, while leaving old values untouched.
+      *
+      * If the size of the vector is decreased, then the storage of the out-of bounds coefficients is kept and reserved.
+      * Call .data().squeeze() to free extra memory.
+      *
+      * \sa reserve(), setZero()
+      */
+    void conservativeResize(Index newSize)
+    {
+      if (newSize < m_size)
+      {
+        Index i = 0;
+        while (i<m_data.size() && m_data.index(i)<newSize) ++i;
+        m_data.resize(i);
+      }
+      m_size = newSize;
+    }
+
+    void resizeNonZeros(Index size) { m_data.resize(size); }
+
+    inline SparseVector() : m_size(0) { check_template_parameters(); resize(0); }
+
+    explicit inline SparseVector(Index size) : m_size(0) { check_template_parameters(); resize(size); }
+
+    inline SparseVector(Index rows, Index cols) : m_size(0) { check_template_parameters(); resize(rows,cols); }
+
+    template<typename OtherDerived>
+    inline SparseVector(const SparseMatrixBase<OtherDerived>& other)
+      : m_size(0)
+    {
+      #ifdef EIGEN_SPARSE_CREATE_TEMPORARY_PLUGIN
+        EIGEN_SPARSE_CREATE_TEMPORARY_PLUGIN
+      #endif
+      check_template_parameters();
+      *this = other.derived();
+    }
+
+    inline SparseVector(const SparseVector& other)
+      : Base(other), m_size(0)
+    {
+      check_template_parameters();
+      *this = other.derived();
+    }
+
+    /** Swaps the values of \c *this and \a other.
+      * Overloaded for performance: this version performs a \em shallow swap by swaping pointers and attributes only.
+      * \sa SparseMatrixBase::swap()
+      */
+    inline void swap(SparseVector& other)
+    {
+      std::swap(m_size, other.m_size);
+      m_data.swap(other.m_data);
+    }
+
+    template<int OtherOptions>
+    inline void swap(SparseMatrix<Scalar,OtherOptions,StorageIndex>& other)
+    {
+      eigen_assert(other.outerSize()==1);
+      std::swap(m_size, other.m_innerSize);
+      m_data.swap(other.m_data);
+    }
+
+    inline SparseVector& operator=(const SparseVector& other)
+    {
+      if (other.isRValue())
+      {
+        swap(other.const_cast_derived());
+      }
+      else
+      {
+        resize(other.size());
+        m_data = other.m_data;
+      }
+      return *this;
+    }
+
+    template<typename OtherDerived>
+    inline SparseVector& operator=(const SparseMatrixBase<OtherDerived>& other)
+    {
+      SparseVector tmp(other.size());
+      internal::sparse_vector_assign_selector<SparseVector,OtherDerived>::run(tmp,other.derived());
+      this->swap(tmp);
+      return *this;
+    }
+
+    #ifndef EIGEN_PARSED_BY_DOXYGEN
+    template<typename Lhs, typename Rhs>
+    inline SparseVector& operator=(const SparseSparseProduct<Lhs,Rhs>& product)
+    {
+      return Base::operator=(product);
+    }
+    #endif
+
+    friend std::ostream & operator << (std::ostream & s, const SparseVector& m)
+    {
+      for (Index i=0; i<m.nonZeros(); ++i)
+        s << "(" << m.m_data.value(i) << "," << m.m_data.index(i) << ") ";
+      s << std::endl;
+      return s;
+    }
+
+    /** Destructor */
+    inline ~SparseVector() {}
+
+    /** Overloaded for performance */
+    Scalar sum() const;
+
+  public:
+
+    /** \internal \deprecated use setZero() and reserve() */
+    EIGEN_DEPRECATED void startFill(Index reserve)
+    {
+      setZero();
+      m_data.reserve(reserve);
+    }
+
+    /** \internal \deprecated use insertBack(Index,Index) */
+    EIGEN_DEPRECATED Scalar& fill(Index r, Index c)
+    {
+      eigen_assert(r==0 || c==0);
+      return fill(IsColVector ? r : c);
+    }
+
+    /** \internal \deprecated use insertBack(Index) */
+    EIGEN_DEPRECATED Scalar& fill(Index i)
+    {
+      m_data.append(0, i);
+      return m_data.value(m_data.size()-1);
+    }
+
+    /** \internal \deprecated use insert(Index,Index) */
+    EIGEN_DEPRECATED Scalar& fillrand(Index r, Index c)
+    {
+      eigen_assert(r==0 || c==0);
+      return fillrand(IsColVector ? r : c);
+    }
+
+    /** \internal \deprecated use insert(Index) */
+    EIGEN_DEPRECATED Scalar& fillrand(Index i)
+    {
+      return insert(i);
+    }
+
+    /** \internal \deprecated use finalize() */
+    EIGEN_DEPRECATED void endFill() {}
+    
+    // These two functions were here in the 3.1 release, so let's keep them in case some code rely on them.
+    /** \internal \deprecated use data() */
+    EIGEN_DEPRECATED Storage& _data() { return m_data; }
+    /** \internal \deprecated use data() */
+    EIGEN_DEPRECATED const Storage& _data() const { return m_data; }
+    
+#   ifdef EIGEN_SPARSEVECTOR_PLUGIN
+#     include EIGEN_SPARSEVECTOR_PLUGIN
+#   endif
+
+protected:
+  
+    static void check_template_parameters()
+    {
+      EIGEN_STATIC_ASSERT(NumTraits<StorageIndex>::IsSigned,THE_INDEX_TYPE_MUST_BE_A_SIGNED_TYPE);
+      EIGEN_STATIC_ASSERT((_Options&(ColMajor|RowMajor))==Options,INVALID_MATRIX_TEMPLATE_PARAMETERS);
+    }
+    
+    Storage m_data;
+    Index m_size;
+};
+
+namespace internal {
+
+template<typename _Scalar, int _Options, typename _Index>
+struct evaluator<SparseVector<_Scalar,_Options,_Index> >
+  : evaluator_base<SparseVector<_Scalar,_Options,_Index> >
+{
+  typedef SparseVector<_Scalar,_Options,_Index> SparseVectorType;
+  typedef evaluator_base<SparseVectorType> Base;
+  typedef typename SparseVectorType::InnerIterator InnerIterator;
+  typedef typename SparseVectorType::ReverseInnerIterator ReverseInnerIterator;
+  
+  enum {
+    CoeffReadCost = NumTraits<_Scalar>::ReadCost,
+    Flags = SparseVectorType::Flags
+  };
+
+  evaluator() : Base() {}
+  
+  explicit evaluator(const SparseVectorType &mat) : m_matrix(&mat)
+  {
+    EIGEN_INTERNAL_CHECK_COST_VALUE(CoeffReadCost);
+  }
+  
+  inline Index nonZerosEstimate() const {
+    return m_matrix->nonZeros();
+  }
+  
+  operator SparseVectorType&() { return m_matrix->const_cast_derived(); }
+  operator const SparseVectorType&() const { return *m_matrix; }
+  
+  const SparseVectorType *m_matrix;
+};
+
+template< typename Dest, typename Src>
+struct sparse_vector_assign_selector<Dest,Src,SVA_Inner> {
+  static void run(Dest& dst, const Src& src) {
+    eigen_internal_assert(src.innerSize()==src.size());
+    typedef internal::evaluator<Src> SrcEvaluatorType;
+    SrcEvaluatorType srcEval(src);
+    for(typename SrcEvaluatorType::InnerIterator it(srcEval, 0); it; ++it)
+      dst.insert(it.index()) = it.value();
+  }
+};
+
+template< typename Dest, typename Src>
+struct sparse_vector_assign_selector<Dest,Src,SVA_Outer> {
+  static void run(Dest& dst, const Src& src) {
+    eigen_internal_assert(src.outerSize()==src.size());
+    typedef internal::evaluator<Src> SrcEvaluatorType;
+    SrcEvaluatorType srcEval(src);
+    for(Index i=0; i<src.size(); ++i)
+    {
+      typename SrcEvaluatorType::InnerIterator it(srcEval, i);
+      if(it)
+        dst.insert(i) = it.value();
+    }
+  }
+};
+
+template< typename Dest, typename Src>
+struct sparse_vector_assign_selector<Dest,Src,SVA_RuntimeSwitch> {
+  static void run(Dest& dst, const Src& src) {
+    if(src.outerSize()==1)  sparse_vector_assign_selector<Dest,Src,SVA_Inner>::run(dst, src);
+    else                    sparse_vector_assign_selector<Dest,Src,SVA_Outer>::run(dst, src);
+  }
+};
+
+}
+
+} // end namespace Eigen
+
+#endif // EIGEN_SPARSEVECTOR_H
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/SparseCore/SparseColEtree.h
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/SparseCore/SparseColEtree.h	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/SparseCore/SparseColEtree.h	(revision 3761)
@@ -0,0 +1,206 @@
+// This file is part of Eigen, a lightweight C++ template library
+// for linear algebra.
+//
+// Copyright (C) 2012 DÃ©sirÃ© Nuentsa-Wakam <desire.nuentsa_wakam@inria.fr>
+//
+// This Source Code Form is subject to the terms of the Mozilla
+// Public License v. 2.0. If a copy of the MPL was not distributed
+// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
+
+
+/* 
+ 
+ * NOTE: This file is the modified version of sp_coletree.c file in SuperLU 
+ 
+ * -- SuperLU routine (version 3.1) --
+ * Univ. of California Berkeley, Xerox Palo Alto Research Center,
+ * and Lawrence Berkeley National Lab.
+ * August 1, 2008
+ *
+ * Copyright (c) 1994 by Xerox Corporation.  All rights reserved.
+ *
+ * THIS MATERIAL IS PROVIDED AS IS, WITH ABSOLUTELY NO WARRANTY
+ * EXPRESSED OR IMPLIED.  ANY USE IS AT YOUR OWN RISK.
+ *
+ * Permission is hereby granted to use or copy this program for any
+ * purpose, provided the above notices are retained on all copies.
+ * Permission to modify the code and to distribute modified code is
+ * granted, provided the above notices are retained, and a notice that
+ * the code was modified is included with the above copyright notice.
+ */
+#ifndef SPARSE_COLETREE_H
+#define SPARSE_COLETREE_H
+
+namespace Eigen {
+
+namespace internal {
+
+/** Find the root of the tree/set containing the vertex i : Use Path halving */ 
+template<typename Index, typename IndexVector>
+Index etree_find (Index i, IndexVector& pp)
+{
+  Index p = pp(i); // Parent 
+  Index gp = pp(p); // Grand parent 
+  while (gp != p) 
+  {
+    pp(i) = gp; // Parent pointer on find path is changed to former grand parent
+    i = gp; 
+    p = pp(i);
+    gp = pp(p);
+  }
+  return p; 
+}
+
+/** Compute the column elimination tree of a sparse matrix
+  * \param mat The matrix in column-major format. 
+  * \param parent The elimination tree
+  * \param firstRowElt The column index of the first element in each row
+  * \param perm The permutation to apply to the column of \b mat
+  */
+template <typename MatrixType, typename IndexVector>
+int coletree(const MatrixType& mat, IndexVector& parent, IndexVector& firstRowElt, typename MatrixType::StorageIndex *perm=0)
+{
+  typedef typename MatrixType::StorageIndex StorageIndex;
+  StorageIndex nc = convert_index<StorageIndex>(mat.cols()); // Number of columns
+  StorageIndex m = convert_index<StorageIndex>(mat.rows());
+  StorageIndex diagSize = (std::min)(nc,m);
+  IndexVector root(nc); // root of subtree of etree 
+  root.setZero();
+  IndexVector pp(nc); // disjoint sets 
+  pp.setZero(); // Initialize disjoint sets 
+  parent.resize(mat.cols());
+  //Compute first nonzero column in each row 
+  firstRowElt.resize(m);
+  firstRowElt.setConstant(nc);
+  firstRowElt.segment(0, diagSize).setLinSpaced(diagSize, 0, diagSize-1);
+  bool found_diag;
+  for (StorageIndex col = 0; col < nc; col++)
+  {
+    StorageIndex pcol = col;
+    if(perm) pcol  = perm[col];
+    for (typename MatrixType::InnerIterator it(mat, pcol); it; ++it)
+    { 
+      Index row = it.row();
+      firstRowElt(row) = (std::min)(firstRowElt(row), col);
+    }
+  }
+  /* Compute etree by Liu's algorithm for symmetric matrices,
+          except use (firstRowElt[r],c) in place of an edge (r,c) of A.
+    Thus each row clique in A'*A is replaced by a star
+    centered at its first vertex, which has the same fill. */
+  StorageIndex rset, cset, rroot;
+  for (StorageIndex col = 0; col < nc; col++) 
+  {
+    found_diag = col>=m;
+    pp(col) = col; 
+    cset = col; 
+    root(cset) = col; 
+    parent(col) = nc; 
+    /* The diagonal element is treated here even if it does not exist in the matrix
+     * hence the loop is executed once more */ 
+    StorageIndex pcol = col;
+    if(perm) pcol  = perm[col];
+    for (typename MatrixType::InnerIterator it(mat, pcol); it||!found_diag; ++it)
+    { //  A sequence of interleaved find and union is performed 
+      Index i = col;
+      if(it) i = it.index();
+      if (i == col) found_diag = true;
+      
+      StorageIndex row = firstRowElt(i);
+      if (row >= col) continue; 
+      rset = internal::etree_find(row, pp); // Find the name of the set containing row
+      rroot = root(rset);
+      if (rroot != col) 
+      {
+        parent(rroot) = col; 
+        pp(cset) = rset; 
+        cset = rset; 
+        root(cset) = col; 
+      }
+    }
+  }
+  return 0;  
+}
+
+/** 
+  * Depth-first search from vertex n.  No recursion.
+  * This routine was contributed by CÃ©dric Doucet, CEDRAT Group, Meylan, France.
+*/
+template <typename IndexVector>
+void nr_etdfs (typename IndexVector::Scalar n, IndexVector& parent, IndexVector& first_kid, IndexVector& next_kid, IndexVector& post, typename IndexVector::Scalar postnum)
+{
+  typedef typename IndexVector::Scalar StorageIndex;
+  StorageIndex current = n, first, next;
+  while (postnum != n) 
+  {
+    // No kid for the current node
+    first = first_kid(current);
+    
+    // no kid for the current node
+    if (first == -1) 
+    {
+      // Numbering this node because it has no kid 
+      post(current) = postnum++;
+      
+      // looking for the next kid 
+      next = next_kid(current); 
+      while (next == -1) 
+      {
+        // No more kids : back to the parent node
+        current = parent(current); 
+        // numbering the parent node 
+        post(current) = postnum++;
+        
+        // Get the next kid 
+        next = next_kid(current); 
+      }
+      // stopping criterion 
+      if (postnum == n+1) return; 
+      
+      // Updating current node 
+      current = next; 
+    }
+    else 
+    {
+      current = first; 
+    }
+  }
+}
+
+
+/**
+  * \brief Post order a tree 
+  * \param n the number of nodes
+  * \param parent Input tree
+  * \param post postordered tree
+  */
+template <typename IndexVector>
+void treePostorder(typename IndexVector::Scalar n, IndexVector& parent, IndexVector& post)
+{
+  typedef typename IndexVector::Scalar StorageIndex;
+  IndexVector first_kid, next_kid; // Linked list of children 
+  StorageIndex postnum; 
+  // Allocate storage for working arrays and results 
+  first_kid.resize(n+1); 
+  next_kid.setZero(n+1);
+  post.setZero(n+1);
+  
+  // Set up structure describing children
+  first_kid.setConstant(-1); 
+  for (StorageIndex v = n-1; v >= 0; v--) 
+  {
+    StorageIndex dad = parent(v);
+    next_kid(v) = first_kid(dad); 
+    first_kid(dad) = v; 
+  }
+  
+  // Depth-first search from dummy root vertex #n
+  postnum = 0; 
+  internal::nr_etdfs(n, parent, first_kid, next_kid, post, postnum);
+}
+
+} // end namespace internal
+
+} // end namespace Eigen
+
+#endif // SPARSE_COLETREE_H
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/SparseCore/SparseTriangularView.h
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/SparseCore/SparseTriangularView.h	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/SparseCore/SparseTriangularView.h	(revision 3761)
@@ -0,0 +1,189 @@
+// This file is part of Eigen, a lightweight C++ template library
+// for linear algebra.
+//
+// Copyright (C) 2009-2015 Gael Guennebaud <gael.guennebaud@inria.fr>
+// Copyright (C) 2012 DÃ©sirÃ© Nuentsa-Wakam <desire.nuentsa_wakam@inria.fr>
+//
+// This Source Code Form is subject to the terms of the Mozilla
+// Public License v. 2.0. If a copy of the MPL was not distributed
+// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
+
+#ifndef EIGEN_SPARSE_TRIANGULARVIEW_H
+#define EIGEN_SPARSE_TRIANGULARVIEW_H
+
+namespace Eigen {
+
+/** \ingroup SparseCore_Module
+  *
+  * \brief Base class for a triangular part in a \b sparse matrix
+  *
+  * This class is an abstract base class of class TriangularView, and objects of type TriangularViewImpl cannot be instantiated.
+  * It extends class TriangularView with additional methods which are available for sparse expressions only.
+  *
+  * \sa class TriangularView, SparseMatrixBase::triangularView()
+  */
+template<typename MatrixType, unsigned int Mode> class TriangularViewImpl<MatrixType,Mode,Sparse>
+  : public SparseMatrixBase<TriangularView<MatrixType,Mode> >
+{
+    enum { SkipFirst = ((Mode&Lower) && !(MatrixType::Flags&RowMajorBit))
+                    || ((Mode&Upper) &&  (MatrixType::Flags&RowMajorBit)),
+           SkipLast = !SkipFirst,
+           SkipDiag = (Mode&ZeroDiag) ? 1 : 0,
+           HasUnitDiag = (Mode&UnitDiag) ? 1 : 0
+    };
+    
+    typedef TriangularView<MatrixType,Mode> TriangularViewType;
+    
+  protected:
+    // dummy solve function to make TriangularView happy.
+    void solve() const;
+
+    typedef SparseMatrixBase<TriangularViewType> Base;
+  public:
+    
+    EIGEN_SPARSE_PUBLIC_INTERFACE(TriangularViewType)
+    
+    typedef typename MatrixType::Nested MatrixTypeNested;
+    typedef typename internal::remove_reference<MatrixTypeNested>::type MatrixTypeNestedNonRef;
+    typedef typename internal::remove_all<MatrixTypeNested>::type MatrixTypeNestedCleaned;
+
+    template<typename RhsType, typename DstType>
+    EIGEN_DEVICE_FUNC
+    EIGEN_STRONG_INLINE void _solve_impl(const RhsType &rhs, DstType &dst) const {
+      if(!(internal::is_same<RhsType,DstType>::value && internal::extract_data(dst) == internal::extract_data(rhs)))
+        dst = rhs;
+      this->solveInPlace(dst);
+    }
+
+    /** Applies the inverse of \c *this to the dense vector or matrix \a other, "in-place" */
+    template<typename OtherDerived> void solveInPlace(MatrixBase<OtherDerived>& other) const;
+
+    /** Applies the inverse of \c *this to the sparse vector or matrix \a other, "in-place" */
+    template<typename OtherDerived> void solveInPlace(SparseMatrixBase<OtherDerived>& other) const;
+  
+};
+
+namespace internal {
+
+template<typename ArgType, unsigned int Mode>
+struct unary_evaluator<TriangularView<ArgType,Mode>, IteratorBased>
+ : evaluator_base<TriangularView<ArgType,Mode> >
+{
+  typedef TriangularView<ArgType,Mode> XprType;
+  
+protected:
+  
+  typedef typename XprType::Scalar Scalar;
+  typedef typename XprType::StorageIndex StorageIndex;
+  typedef typename evaluator<ArgType>::InnerIterator EvalIterator;
+  
+  enum { SkipFirst = ((Mode&Lower) && !(ArgType::Flags&RowMajorBit))
+                    || ((Mode&Upper) &&  (ArgType::Flags&RowMajorBit)),
+         SkipLast = !SkipFirst,
+         SkipDiag = (Mode&ZeroDiag) ? 1 : 0,
+         HasUnitDiag = (Mode&UnitDiag) ? 1 : 0
+  };
+  
+public:
+  
+  enum {
+    CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
+    Flags = XprType::Flags
+  };
+    
+  explicit unary_evaluator(const XprType &xpr) : m_argImpl(xpr.nestedExpression()), m_arg(xpr.nestedExpression()) {}
+  
+  inline Index nonZerosEstimate() const {
+    return m_argImpl.nonZerosEstimate();
+  }
+  
+  class InnerIterator : public EvalIterator
+  {
+      typedef EvalIterator Base;
+    public:
+
+      EIGEN_STRONG_INLINE InnerIterator(const unary_evaluator& xprEval, Index outer)
+        : Base(xprEval.m_argImpl,outer), m_returnOne(false), m_containsDiag(Base::outer()<xprEval.m_arg.innerSize())
+      {
+        if(SkipFirst)
+        {
+          while((*this) && ((HasUnitDiag||SkipDiag)  ? this->index()<=outer : this->index()<outer))
+            Base::operator++();
+          if(HasUnitDiag)
+            m_returnOne = m_containsDiag;
+        }
+        else if(HasUnitDiag && ((!Base::operator bool()) || Base::index()>=Base::outer()))
+        {
+          if((!SkipFirst) && Base::operator bool())
+            Base::operator++();
+          m_returnOne = m_containsDiag;
+        }
+      }
+
+      EIGEN_STRONG_INLINE InnerIterator& operator++()
+      {
+        if(HasUnitDiag && m_returnOne)
+          m_returnOne = false;
+        else
+        {
+          Base::operator++();
+          if(HasUnitDiag && (!SkipFirst) && ((!Base::operator bool()) || Base::index()>=Base::outer()))
+          {
+            if((!SkipFirst) && Base::operator bool())
+              Base::operator++();
+            m_returnOne = m_containsDiag;
+          }
+        }
+        return *this;
+      }
+      
+      EIGEN_STRONG_INLINE operator bool() const
+      {
+        if(HasUnitDiag && m_returnOne)
+          return true;
+        if(SkipFirst) return  Base::operator bool();
+        else
+        {
+          if (SkipDiag) return (Base::operator bool() && this->index() < this->outer());
+          else return (Base::operator bool() && this->index() <= this->outer());
+        }
+      }
+
+//       inline Index row() const { return (ArgType::Flags&RowMajorBit ? Base::outer() : this->index()); }
+//       inline Index col() const { return (ArgType::Flags&RowMajorBit ? this->index() : Base::outer()); }
+      inline StorageIndex index() const
+      {
+        if(HasUnitDiag && m_returnOne)  return internal::convert_index<StorageIndex>(Base::outer());
+        else                            return Base::index();
+      }
+      inline Scalar value() const
+      {
+        if(HasUnitDiag && m_returnOne)  return Scalar(1);
+        else                            return Base::value();
+      }
+
+    protected:
+      bool m_returnOne;
+      bool m_containsDiag;
+    private:
+      Scalar& valueRef();
+  };
+  
+protected:
+  evaluator<ArgType> m_argImpl;
+  const ArgType& m_arg;
+};
+
+} // end namespace internal
+
+template<typename Derived>
+template<int Mode>
+inline const TriangularView<const Derived, Mode>
+SparseMatrixBase<Derived>::triangularView() const
+{
+  return TriangularView<const Derived, Mode>(derived());
+}
+
+} // end namespace Eigen
+
+#endif // EIGEN_SPARSE_TRIANGULARVIEW_H
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h	(revision 3761)
@@ -0,0 +1,1404 @@
+// This file is part of Eigen, a lightweight C++ template library
+// for linear algebra.
+//
+// Copyright (C) 2008-2014 Gael Guennebaud <gael.guennebaud@inria.fr>
+//
+// This Source Code Form is subject to the terms of the Mozilla
+// Public License v. 2.0. If a copy of the MPL was not distributed
+// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
+
+#ifndef EIGEN_SPARSEMATRIX_H
+#define EIGEN_SPARSEMATRIX_H
+
+namespace Eigen { 
+
+/** \ingroup SparseCore_Module
+  *
+  * \class SparseMatrix
+  *
+  * \brief A versatible sparse matrix representation
+  *
+  * This class implements a more versatile variants of the common \em compressed row/column storage format.
+  * Each colmun's (resp. row) non zeros are stored as a pair of value with associated row (resp. colmiun) index.
+  * All the non zeros are stored in a single large buffer. Unlike the \em compressed format, there might be extra
+  * space inbetween the nonzeros of two successive colmuns (resp. rows) such that insertion of new non-zero
+  * can be done with limited memory reallocation and copies.
+  *
+  * A call to the function makeCompressed() turns the matrix into the standard \em compressed format
+  * compatible with many library.
+  *
+  * More details on this storage sceheme are given in the \ref TutorialSparse "manual pages".
+  *
+  * \tparam _Scalar the scalar type, i.e. the type of the coefficients
+  * \tparam _Options Union of bit flags controlling the storage scheme. Currently the only possibility
+  *                 is ColMajor or RowMajor. The default is 0 which means column-major.
+  * \tparam _StorageIndex the type of the indices. It has to be a \b signed type (e.g., short, int, std::ptrdiff_t). Default is \c int.
+  *
+  * \warning In %Eigen 3.2, the undocumented type \c SparseMatrix::Index was improperly defined as the storage index type (e.g., int),
+  *          whereas it is now (starting from %Eigen 3.3) deprecated and always defined as Eigen::Index.
+  *          Codes making use of \c SparseMatrix::Index, might thus likely have to be changed to use \c SparseMatrix::StorageIndex instead.
+  *
+  * This class can be extended with the help of the plugin mechanism described on the page
+  * \ref TopicCustomizing_Plugins by defining the preprocessor symbol \c EIGEN_SPARSEMATRIX_PLUGIN.
+  */
+
+namespace internal {
+template<typename _Scalar, int _Options, typename _StorageIndex>
+struct traits<SparseMatrix<_Scalar, _Options, _StorageIndex> >
+{
+  typedef _Scalar Scalar;
+  typedef _StorageIndex StorageIndex;
+  typedef Sparse StorageKind;
+  typedef MatrixXpr XprKind;
+  enum {
+    RowsAtCompileTime = Dynamic,
+    ColsAtCompileTime = Dynamic,
+    MaxRowsAtCompileTime = Dynamic,
+    MaxColsAtCompileTime = Dynamic,
+    Flags = _Options | NestByRefBit | LvalueBit | CompressedAccessBit,
+    SupportedAccessPatterns = InnerRandomAccessPattern
+  };
+};
+
+template<typename _Scalar, int _Options, typename _StorageIndex, int DiagIndex>
+struct traits<Diagonal<SparseMatrix<_Scalar, _Options, _StorageIndex>, DiagIndex> >
+{
+  typedef SparseMatrix<_Scalar, _Options, _StorageIndex> MatrixType;
+  typedef typename ref_selector<MatrixType>::type MatrixTypeNested;
+  typedef typename remove_reference<MatrixTypeNested>::type _MatrixTypeNested;
+
+  typedef _Scalar Scalar;
+  typedef Dense StorageKind;
+  typedef _StorageIndex StorageIndex;
+  typedef MatrixXpr XprKind;
+
+  enum {
+    RowsAtCompileTime = Dynamic,
+    ColsAtCompileTime = 1,
+    MaxRowsAtCompileTime = Dynamic,
+    MaxColsAtCompileTime = 1,
+    Flags = LvalueBit
+  };
+};
+
+template<typename _Scalar, int _Options, typename _StorageIndex, int DiagIndex>
+struct traits<Diagonal<const SparseMatrix<_Scalar, _Options, _StorageIndex>, DiagIndex> >
+ : public traits<Diagonal<SparseMatrix<_Scalar, _Options, _StorageIndex>, DiagIndex> >
+{
+  enum {
+    Flags = 0
+  };
+};
+
+} // end namespace internal
+
+template<typename _Scalar, int _Options, typename _StorageIndex>
+class SparseMatrix
+  : public SparseCompressedBase<SparseMatrix<_Scalar, _Options, _StorageIndex> >
+{
+    typedef SparseCompressedBase<SparseMatrix> Base;
+    using Base::convert_index;
+    friend class SparseVector<_Scalar,0,_StorageIndex>;
+  public:
+    using Base::isCompressed;
+    using Base::nonZeros;
+    EIGEN_SPARSE_PUBLIC_INTERFACE(SparseMatrix)
+    using Base::operator+=;
+    using Base::operator-=;
+
+    typedef MappedSparseMatrix<Scalar,Flags> Map;
+    typedef Diagonal<SparseMatrix> DiagonalReturnType;
+    typedef Diagonal<const SparseMatrix> ConstDiagonalReturnType;
+    typedef typename Base::InnerIterator InnerIterator;
+    typedef typename Base::ReverseInnerIterator ReverseInnerIterator;
+    
+
+    using Base::IsRowMajor;
+    typedef internal::CompressedStorage<Scalar,StorageIndex> Storage;
+    enum {
+      Options = _Options
+    };
+
+    typedef typename Base::IndexVector IndexVector;
+    typedef typename Base::ScalarVector ScalarVector;
+  protected:
+    typedef SparseMatrix<Scalar,(Flags&~RowMajorBit)|(IsRowMajor?RowMajorBit:0)> TransposedSparseMatrix;
+
+    Index m_outerSize;
+    Index m_innerSize;
+    StorageIndex* m_outerIndex;
+    StorageIndex* m_innerNonZeros;     // optional, if null then the data is compressed
+    Storage m_data;
+
+  public:
+    
+    /** \returns the number of rows of the matrix */
+    inline Index rows() const { return IsRowMajor ? m_outerSize : m_innerSize; }
+    /** \returns the number of columns of the matrix */
+    inline Index cols() const { return IsRowMajor ? m_innerSize : m_outerSize; }
+
+    /** \returns the number of rows (resp. columns) of the matrix if the storage order column major (resp. row major) */
+    inline Index innerSize() const { return m_innerSize; }
+    /** \returns the number of columns (resp. rows) of the matrix if the storage order column major (resp. row major) */
+    inline Index outerSize() const { return m_outerSize; }
+    
+    /** \returns a const pointer to the array of values.
+      * This function is aimed at interoperability with other libraries.
+      * \sa innerIndexPtr(), outerIndexPtr() */
+    inline const Scalar* valuePtr() const { return m_data.valuePtr(); }
+    /** \returns a non-const pointer to the array of values.
+      * This function is aimed at interoperability with other libraries.
+      * \sa innerIndexPtr(), outerIndexPtr() */
+    inline Scalar* valuePtr() { return m_data.valuePtr(); }
+
+    /** \returns a const pointer to the array of inner indices.
+      * This function is aimed at interoperability with other libraries.
+      * \sa valuePtr(), outerIndexPtr() */
+    inline const StorageIndex* innerIndexPtr() const { return m_data.indexPtr(); }
+    /** \returns a non-const pointer to the array of inner indices.
+      * This function is aimed at interoperability with other libraries.
+      * \sa valuePtr(), outerIndexPtr() */
+    inline StorageIndex* innerIndexPtr() { return m_data.indexPtr(); }
+
+    /** \returns a const pointer to the array of the starting positions of the inner vectors.
+      * This function is aimed at interoperability with other libraries.
+      * \sa valuePtr(), innerIndexPtr() */
+    inline const StorageIndex* outerIndexPtr() const { return m_outerIndex; }
+    /** \returns a non-const pointer to the array of the starting positions of the inner vectors.
+      * This function is aimed at interoperability with other libraries.
+      * \sa valuePtr(), innerIndexPtr() */
+    inline StorageIndex* outerIndexPtr() { return m_outerIndex; }
+
+    /** \returns a const pointer to the array of the number of non zeros of the inner vectors.
+      * This function is aimed at interoperability with other libraries.
+      * \warning it returns the null pointer 0 in compressed mode */
+    inline const StorageIndex* innerNonZeroPtr() const { return m_innerNonZeros; }
+    /** \returns a non-const pointer to the array of the number of non zeros of the inner vectors.
+      * This function is aimed at interoperability with other libraries.
+      * \warning it returns the null pointer 0 in compressed mode */
+    inline StorageIndex* innerNonZeroPtr() { return m_innerNonZeros; }
+
+    /** \internal */
+    inline Storage& data() { return m_data; }
+    /** \internal */
+    inline const Storage& data() const { return m_data; }
+
+    /** \returns the value of the matrix at position \a i, \a j
+      * This function returns Scalar(0) if the element is an explicit \em zero */
+    inline Scalar coeff(Index row, Index col) const
+    {
+      eigen_assert(row>=0 && row<rows() && col>=0 && col<cols());
+      
+      const Index outer = IsRowMajor ? row : col;
+      const Index inner = IsRowMajor ? col : row;
+      Index end = m_innerNonZeros ? m_outerIndex[outer] + m_innerNonZeros[outer] : m_outerIndex[outer+1];
+      return m_data.atInRange(m_outerIndex[outer], end, StorageIndex(inner));
+    }
+
+    /** \returns a non-const reference to the value of the matrix at position \a i, \a j
+      *
+      * If the element does not exist then it is inserted via the insert(Index,Index) function
+      * which itself turns the matrix into a non compressed form if that was not the case.
+      *
+      * This is a O(log(nnz_j)) operation (binary search) plus the cost of insert(Index,Index)
+      * function if the element does not already exist.
+      */
+    inline Scalar& coeffRef(Index row, Index col)
+    {
+      eigen_assert(row>=0 && row<rows() && col>=0 && col<cols());
+      
+      const Index outer = IsRowMajor ? row : col;
+      const Index inner = IsRowMajor ? col : row;
+
+      Index start = m_outerIndex[outer];
+      Index end = m_innerNonZeros ? m_outerIndex[outer] + m_innerNonZeros[outer] : m_outerIndex[outer+1];
+      eigen_assert(end>=start && "you probably called coeffRef on a non finalized matrix");
+      if(end<=start)
+        return insert(row,col);
+      const Index p = m_data.searchLowerIndex(start,end-1,StorageIndex(inner));
+      if((p<end) && (m_data.index(p)==inner))
+        return m_data.value(p);
+      else
+        return insert(row,col);
+    }
+
+    /** \returns a reference to a novel non zero coefficient with coordinates \a row x \a col.
+      * The non zero coefficient must \b not already exist.
+      *
+      * If the matrix \c *this is in compressed mode, then \c *this is turned into uncompressed
+      * mode while reserving room for 2 x this->innerSize() non zeros if reserve(Index) has not been called earlier.
+      * In this case, the insertion procedure is optimized for a \e sequential insertion mode where elements are assumed to be
+      * inserted by increasing outer-indices.
+      * 
+      * If that's not the case, then it is strongly recommended to either use a triplet-list to assemble the matrix, or to first
+      * call reserve(const SizesType &) to reserve the appropriate number of non-zero elements per inner vector.
+      *
+      * Assuming memory has been appropriately reserved, this function performs a sorted insertion in O(1)
+      * if the elements of each inner vector are inserted in increasing inner index order, and in O(nnz_j) for a random insertion.
+      *
+      */
+    Scalar& insert(Index row, Index col);
+
+  public:
+
+    /** Removes all non zeros but keep allocated memory
+      *
+      * This function does not free the currently allocated memory. To release as much as memory as possible,
+      * call \code mat.data().squeeze(); \endcode after resizing it.
+      * 
+      * \sa resize(Index,Index), data()
+      */
+    inline void setZero()
+    {
+      m_data.clear();
+      memset(m_outerIndex, 0, (m_outerSize+1)*sizeof(StorageIndex));
+      if(m_innerNonZeros)
+        memset(m_innerNonZeros, 0, (m_outerSize)*sizeof(StorageIndex));
+    }
+
+    /** Preallocates \a reserveSize non zeros.
+      *
+      * Precondition: the matrix must be in compressed mode. */
+    inline void reserve(Index reserveSize)
+    {
+      eigen_assert(isCompressed() && "This function does not make sense in non compressed mode.");
+      m_data.reserve(reserveSize);
+    }
+    
+    #ifdef EIGEN_PARSED_BY_DOXYGEN
+    /** Preallocates \a reserveSize[\c j] non zeros for each column (resp. row) \c j.
+      *
+      * This function turns the matrix in non-compressed mode.
+      * 
+      * The type \c SizesType must expose the following interface:
+        \code
+        typedef value_type;
+        const value_type& operator[](i) const;
+        \endcode
+      * for \c i in the [0,this->outerSize()[ range.
+      * Typical choices include std::vector<int>, Eigen::VectorXi, Eigen::VectorXi::Constant, etc.
+      */
+    template<class SizesType>
+    inline void reserve(const SizesType& reserveSizes);
+    #else
+    template<class SizesType>
+    inline void reserve(const SizesType& reserveSizes, const typename SizesType::value_type& enableif =
+    #if (!EIGEN_COMP_MSVC) || (EIGEN_COMP_MSVC>=1500) // MSVC 2005 fails to compile with this typename
+        typename
+    #endif
+        SizesType::value_type())
+    {
+      EIGEN_UNUSED_VARIABLE(enableif);
+      reserveInnerVectors(reserveSizes);
+    }
+    #endif // EIGEN_PARSED_BY_DOXYGEN
+  protected:
+    template<class SizesType>
+    inline void reserveInnerVectors(const SizesType& reserveSizes)
+    {
+      if(isCompressed())
+      {
+        Index totalReserveSize = 0;
+        // turn the matrix into non-compressed mode
+        m_innerNonZeros = static_cast<StorageIndex*>(std::malloc(m_outerSize * sizeof(StorageIndex)));
+        if (!m_innerNonZeros) internal::throw_std_bad_alloc();
+        
+        // temporarily use m_innerSizes to hold the new starting points.
+        StorageIndex* newOuterIndex = m_innerNonZeros;
+        
+        StorageIndex count = 0;
+        for(Index j=0; j<m_outerSize; ++j)
+        {
+          newOuterIndex[j] = count;
+          count += reserveSizes[j] + (m_outerIndex[j+1]-m_outerIndex[j]);
+          totalReserveSize += reserveSizes[j];
+        }
+        m_data.reserve(totalReserveSize);
+        StorageIndex previousOuterIndex = m_outerIndex[m_outerSize];
+        for(Index j=m_outerSize-1; j>=0; --j)
+        {
+          StorageIndex innerNNZ = previousOuterIndex - m_outerIndex[j];
+          for(Index i=innerNNZ-1; i>=0; --i)
+          {
+            m_data.index(newOuterIndex[j]+i) = m_data.index(m_outerIndex[j]+i);
+            m_data.value(newOuterIndex[j]+i) = m_data.value(m_outerIndex[j]+i);
+          }
+          previousOuterIndex = m_outerIndex[j];
+          m_outerIndex[j] = newOuterIndex[j];
+          m_innerNonZeros[j] = innerNNZ;
+        }
+        if(m_outerSize>0)
+          m_outerIndex[m_outerSize] = m_outerIndex[m_outerSize-1] + m_innerNonZeros[m_outerSize-1] + reserveSizes[m_outerSize-1];
+        
+        m_data.resize(m_outerIndex[m_outerSize]);
+      }
+      else
+      {
+        StorageIndex* newOuterIndex = static_cast<StorageIndex*>(std::malloc((m_outerSize+1)*sizeof(StorageIndex)));
+        if (!newOuterIndex) internal::throw_std_bad_alloc();
+        
+        StorageIndex count = 0;
+        for(Index j=0; j<m_outerSize; ++j)
+        {
+          newOuterIndex[j] = count;
+          StorageIndex alreadyReserved = (m_outerIndex[j+1]-m_outerIndex[j]) - m_innerNonZeros[j];
+          StorageIndex toReserve = std::max<StorageIndex>(reserveSizes[j], alreadyReserved);
+          count += toReserve + m_innerNonZeros[j];
+        }
+        newOuterIndex[m_outerSize] = count;
+        
+        m_data.resize(count);
+        for(Index j=m_outerSize-1; j>=0; --j)
+        {
+          Index offset = newOuterIndex[j] - m_outerIndex[j];
+          if(offset>0)
+          {
+            StorageIndex innerNNZ = m_innerNonZeros[j];
+            for(Index i=innerNNZ-1; i>=0; --i)
+            {
+              m_data.index(newOuterIndex[j]+i) = m_data.index(m_outerIndex[j]+i);
+              m_data.value(newOuterIndex[j]+i) = m_data.value(m_outerIndex[j]+i);
+            }
+          }
+        }
+        
+        std::swap(m_outerIndex, newOuterIndex);
+        std::free(newOuterIndex);
+      }
+      
+    }
+  public:
+
+    //--- low level purely coherent filling ---
+
+    /** \internal
+      * \returns a reference to the non zero coefficient at position \a row, \a col assuming that:
+      * - the nonzero does not already exist
+      * - the new coefficient is the last one according to the storage order
+      *
+      * Before filling a given inner vector you must call the statVec(Index) function.
+      *
+      * After an insertion session, you should call the finalize() function.
+      *
+      * \sa insert, insertBackByOuterInner, startVec */
+    inline Scalar& insertBack(Index row, Index col)
+    {
+      return insertBackByOuterInner(IsRowMajor?row:col, IsRowMajor?col:row);
+    }
+
+    /** \internal
+      * \sa insertBack, startVec */
+    inline Scalar& insertBackByOuterInner(Index outer, Index inner)
+    {
+      eigen_assert(Index(m_outerIndex[outer+1]) == m_data.size() && "Invalid ordered insertion (invalid outer index)");
+      eigen_assert( (m_outerIndex[outer+1]-m_outerIndex[outer]==0 || m_data.index(m_data.size()-1)<inner) && "Invalid ordered insertion (invalid inner index)");
+      Index p = m_outerIndex[outer+1];
+      ++m_outerIndex[outer+1];
+      m_data.append(Scalar(0), inner);
+      return m_data.value(p);
+    }
+
+    /** \internal
+      * \warning use it only if you know what you are doing */
+    inline Scalar& insertBackByOuterInnerUnordered(Index outer, Index inner)
+    {
+      Index p = m_outerIndex[outer+1];
+      ++m_outerIndex[outer+1];
+      m_data.append(Scalar(0), inner);
+      return m_data.value(p);
+    }
+
+    /** \internal
+      * \sa insertBack, insertBackByOuterInner */
+    inline void startVec(Index outer)
+    {
+      eigen_assert(m_outerIndex[outer]==Index(m_data.size()) && "You must call startVec for each inner vector sequentially");
+      eigen_assert(m_outerIndex[outer+1]==0 && "You must call startVec for each inner vector sequentially");
+      m_outerIndex[outer+1] = m_outerIndex[outer];
+    }
+
+    /** \internal
+      * Must be called after inserting a set of non zero entries using the low level compressed API.
+      */
+    inline void finalize()
+    {
+      if(isCompressed())
+      {
+        StorageIndex size = internal::convert_index<StorageIndex>(m_data.size());
+        Index i = m_outerSize;
+        // find the last filled column
+        while (i>=0 && m_outerIndex[i]==0)
+          --i;
+        ++i;
+        while (i<=m_outerSize)
+        {
+          m_outerIndex[i] = size;
+          ++i;
+        }
+      }
+    }
+
+    //---
+
+    template<typename InputIterators>
+    void setFromTriplets(const InputIterators& begin, const InputIterators& end);
+
+    template<typename InputIterators,typename DupFunctor>
+    void setFromTriplets(const InputIterators& begin, const InputIterators& end, DupFunctor dup_func);
+
+    void sumupDuplicates() { collapseDuplicates(internal::scalar_sum_op<Scalar,Scalar>()); }
+
+    template<typename DupFunctor>
+    void collapseDuplicates(DupFunctor dup_func = DupFunctor());
+
+    //---
+    
+    /** \internal
+      * same as insert(Index,Index) except that the indices are given relative to the storage order */
+    Scalar& insertByOuterInner(Index j, Index i)
+    {
+      return insert(IsRowMajor ? j : i, IsRowMajor ? i : j);
+    }
+
+    /** Turns the matrix into the \em compressed format.
+      */
+    void makeCompressed()
+    {
+      if(isCompressed())
+        return;
+      
+      eigen_internal_assert(m_outerIndex!=0 && m_outerSize>0);
+      
+      Index oldStart = m_outerIndex[1];
+      m_outerIndex[1] = m_innerNonZeros[0];
+      for(Index j=1; j<m_outerSize; ++j)
+      {
+        Index nextOldStart = m_outerIndex[j+1];
+        Index offset = oldStart - m_outerIndex[j];
+        if(offset>0)
+        {
+          for(Index k=0; k<m_innerNonZeros[j]; ++k)
+          {
+            m_data.index(m_outerIndex[j]+k) = m_data.index(oldStart+k);
+            m_data.value(m_outerIndex[j]+k) = m_data.value(oldStart+k);
+          }
+        }
+        m_outerIndex[j+1] = m_outerIndex[j] + m_innerNonZeros[j];
+        oldStart = nextOldStart;
+      }
+      std::free(m_innerNonZeros);
+      m_innerNonZeros = 0;
+      m_data.resize(m_outerIndex[m_outerSize]);
+      m_data.squeeze();
+    }
+
+    /** Turns the matrix into the uncompressed mode */
+    void uncompress()
+    {
+      if(m_innerNonZeros != 0)
+        return; 
+      m_innerNonZeros = static_cast<StorageIndex*>(std::malloc(m_outerSize * sizeof(StorageIndex)));
+      for (Index i = 0; i < m_outerSize; i++)
+      {
+        m_innerNonZeros[i] = m_outerIndex[i+1] - m_outerIndex[i]; 
+      }
+    }
+    
+    /** Suppresses all nonzeros which are \b much \b smaller \b than \a reference under the tolerence \a epsilon */
+    void prune(const Scalar& reference, const RealScalar& epsilon = NumTraits<RealScalar>::dummy_precision())
+    {
+      prune(default_prunning_func(reference,epsilon));
+    }
+    
+    /** Turns the matrix into compressed format, and suppresses all nonzeros which do not satisfy the predicate \a keep.
+      * The functor type \a KeepFunc must implement the following function:
+      * \code
+      * bool operator() (const Index& row, const Index& col, const Scalar& value) const;
+      * \endcode
+      * \sa prune(Scalar,RealScalar)
+      */
+    template<typename KeepFunc>
+    void prune(const KeepFunc& keep = KeepFunc())
+    {
+      // TODO optimize the uncompressed mode to avoid moving and allocating the data twice
+      makeCompressed();
+
+      StorageIndex k = 0;
+      for(Index j=0; j<m_outerSize; ++j)
+      {
+        Index previousStart = m_outerIndex[j];
+        m_outerIndex[j] = k;
+        Index end = m_outerIndex[j+1];
+        for(Index i=previousStart; i<end; ++i)
+        {
+          if(keep(IsRowMajor?j:m_data.index(i), IsRowMajor?m_data.index(i):j, m_data.value(i)))
+          {
+            m_data.value(k) = m_data.value(i);
+            m_data.index(k) = m_data.index(i);
+            ++k;
+          }
+        }
+      }
+      m_outerIndex[m_outerSize] = k;
+      m_data.resize(k,0);
+    }
+
+    /** Resizes the matrix to a \a rows x \a cols matrix leaving old values untouched.
+      *
+      * If the sizes of the matrix are decreased, then the matrix is turned to \b uncompressed-mode
+      * and the storage of the out of bounds coefficients is kept and reserved.
+      * Call makeCompressed() to pack the entries and squeeze extra memory.
+      *
+      * \sa reserve(), setZero(), makeCompressed()
+      */
+    void conservativeResize(Index rows, Index cols) 
+    {
+      // No change
+      if (this->rows() == rows && this->cols() == cols) return;
+      
+      // If one dimension is null, then there is nothing to be preserved
+      if(rows==0 || cols==0) return resize(rows,cols);
+
+      Index innerChange = IsRowMajor ? cols - this->cols() : rows - this->rows();
+      Index outerChange = IsRowMajor ? rows - this->rows() : cols - this->cols();
+      StorageIndex newInnerSize = convert_index(IsRowMajor ? cols : rows);
+
+      // Deals with inner non zeros
+      if (m_innerNonZeros)
+      {
+        // Resize m_innerNonZeros
+        StorageIndex *newInnerNonZeros = static_cast<StorageIndex*>(std::realloc(m_innerNonZeros, (m_outerSize + outerChange) * sizeof(StorageIndex)));
+        if (!newInnerNonZeros) internal::throw_std_bad_alloc();
+        m_innerNonZeros = newInnerNonZeros;
+        
+        for(Index i=m_outerSize; i<m_outerSize+outerChange; i++)          
+          m_innerNonZeros[i] = 0;
+      } 
+      else if (innerChange < 0) 
+      {
+        // Inner size decreased: allocate a new m_innerNonZeros
+        m_innerNonZeros = static_cast<StorageIndex*>(std::malloc((m_outerSize+outerChange+1) * sizeof(StorageIndex)));
+        if (!m_innerNonZeros) internal::throw_std_bad_alloc();
+        for(Index i = 0; i < m_outerSize; i++)
+          m_innerNonZeros[i] = m_outerIndex[i+1] - m_outerIndex[i];
+      }
+      
+      // Change the m_innerNonZeros in case of a decrease of inner size
+      if (m_innerNonZeros && innerChange < 0)
+      {
+        for(Index i = 0; i < m_outerSize + (std::min)(outerChange, Index(0)); i++)
+        {
+          StorageIndex &n = m_innerNonZeros[i];
+          StorageIndex start = m_outerIndex[i];
+          while (n > 0 && m_data.index(start+n-1) >= newInnerSize) --n; 
+        }
+      }
+      
+      m_innerSize = newInnerSize;
+
+      // Re-allocate outer index structure if necessary
+      if (outerChange == 0)
+        return;
+          
+      StorageIndex *newOuterIndex = static_cast<StorageIndex*>(std::realloc(m_outerIndex, (m_outerSize + outerChange + 1) * sizeof(StorageIndex)));
+      if (!newOuterIndex) internal::throw_std_bad_alloc();
+      m_outerIndex = newOuterIndex;
+      if (outerChange > 0)
+      {
+        StorageIndex last = m_outerSize == 0 ? 0 : m_outerIndex[m_outerSize];
+        for(Index i=m_outerSize; i<m_outerSize+outerChange+1; i++)          
+          m_outerIndex[i] = last; 
+      }
+      m_outerSize += outerChange;
+    }
+    
+    /** Resizes the matrix to a \a rows x \a cols matrix and initializes it to zero.
+      * 
+      * This function does not free the currently allocated memory. To release as much as memory as possible,
+      * call \code mat.data().squeeze(); \endcode after resizing it.
+      * 
+      * \sa reserve(), setZero()
+      */
+    void resize(Index rows, Index cols)
+    {
+      const Index outerSize = IsRowMajor ? rows : cols;
+      m_innerSize = IsRowMajor ? cols : rows;
+      m_data.clear();
+      if (m_outerSize != outerSize || m_outerSize==0)
+      {
+        std::free(m_outerIndex);
+        m_outerIndex = static_cast<StorageIndex*>(std::malloc((outerSize + 1) * sizeof(StorageIndex)));
+        if (!m_outerIndex) internal::throw_std_bad_alloc();
+        
+        m_outerSize = outerSize;
+      }
+      if(m_innerNonZeros)
+      {
+        std::free(m_innerNonZeros);
+        m_innerNonZeros = 0;
+      }
+      memset(m_outerIndex, 0, (m_outerSize+1)*sizeof(StorageIndex));
+    }
+
+    /** \internal
+      * Resize the nonzero vector to \a size */
+    void resizeNonZeros(Index size)
+    {
+      m_data.resize(size);
+    }
+
+    /** \returns a const expression of the diagonal coefficients. */
+    const ConstDiagonalReturnType diagonal() const { return ConstDiagonalReturnType(*this); }
+    
+    /** \returns a read-write expression of the diagonal coefficients.
+      * \warning If the diagonal entries are written, then all diagonal
+      * entries \b must already exist, otherwise an assertion will be raised.
+      */
+    DiagonalReturnType diagonal() { return DiagonalReturnType(*this); }
+
+    /** Default constructor yielding an empty \c 0 \c x \c 0 matrix */
+    inline SparseMatrix()
+      : m_outerSize(-1), m_innerSize(0), m_outerIndex(0), m_innerNonZeros(0)
+    {
+      check_template_parameters();
+      resize(0, 0);
+    }
+
+    /** Constructs a \a rows \c x \a cols empty matrix */
+    inline SparseMatrix(Index rows, Index cols)
+      : m_outerSize(0), m_innerSize(0), m_outerIndex(0), m_innerNonZeros(0)
+    {
+      check_template_parameters();
+      resize(rows, cols);
+    }
+
+    /** Constructs a sparse matrix from the sparse expression \a other */
+    template<typename OtherDerived>
+    inline SparseMatrix(const SparseMatrixBase<OtherDerived>& other)
+      : m_outerSize(0), m_innerSize(0), m_outerIndex(0), m_innerNonZeros(0)
+    {
+      EIGEN_STATIC_ASSERT((internal::is_same<Scalar, typename OtherDerived::Scalar>::value),
+        YOU_MIXED_DIFFERENT_NUMERIC_TYPES__YOU_NEED_TO_USE_THE_CAST_METHOD_OF_MATRIXBASE_TO_CAST_NUMERIC_TYPES_EXPLICITLY)
+      check_template_parameters();
+      const bool needToTranspose = (Flags & RowMajorBit) != (internal::evaluator<OtherDerived>::Flags & RowMajorBit);
+      if (needToTranspose)
+        *this = other.derived();
+      else
+      {
+        #ifdef EIGEN_SPARSE_CREATE_TEMPORARY_PLUGIN
+          EIGEN_SPARSE_CREATE_TEMPORARY_PLUGIN
+        #endif
+        internal::call_assignment_no_alias(*this, other.derived());
+      }
+    }
+    
+    /** Constructs a sparse matrix from the sparse selfadjoint view \a other */
+    template<typename OtherDerived, unsigned int UpLo>
+    inline SparseMatrix(const SparseSelfAdjointView<OtherDerived, UpLo>& other)
+      : m_outerSize(0), m_innerSize(0), m_outerIndex(0), m_innerNonZeros(0)
+    {
+      check_template_parameters();
+      Base::operator=(other);
+    }
+
+    /** Copy constructor (it performs a deep copy) */
+    inline SparseMatrix(const SparseMatrix& other)
+      : Base(), m_outerSize(0), m_innerSize(0), m_outerIndex(0), m_innerNonZeros(0)
+    {
+      check_template_parameters();
+      *this = other.derived();
+    }
+
+    /** \brief Copy constructor with in-place evaluation */
+    template<typename OtherDerived>
+    SparseMatrix(const ReturnByValue<OtherDerived>& other)
+      : Base(), m_outerSize(0), m_innerSize(0), m_outerIndex(0), m_innerNonZeros(0)
+    {
+      check_template_parameters();
+      initAssignment(other);
+      other.evalTo(*this);
+    }
+    
+    /** \brief Copy constructor with in-place evaluation */
+    template<typename OtherDerived>
+    explicit SparseMatrix(const DiagonalBase<OtherDerived>& other)
+      : Base(), m_outerSize(0), m_innerSize(0), m_outerIndex(0), m_innerNonZeros(0)
+    {
+      check_template_parameters();
+      *this = other.derived();
+    }
+
+    /** Swaps the content of two sparse matrices of the same type.
+      * This is a fast operation that simply swaps the underlying pointers and parameters. */
+    inline void swap(SparseMatrix& other)
+    {
+      //EIGEN_DBG_SPARSE(std::cout << "SparseMatrix:: swap\n");
+      std::swap(m_outerIndex, other.m_outerIndex);
+      std::swap(m_innerSize, other.m_innerSize);
+      std::swap(m_outerSize, other.m_outerSize);
+      std::swap(m_innerNonZeros, other.m_innerNonZeros);
+      m_data.swap(other.m_data);
+    }
+
+    /** Sets *this to the identity matrix.
+      * This function also turns the matrix into compressed mode, and drop any reserved memory. */
+    inline void setIdentity()
+    {
+      eigen_assert(rows() == cols() && "ONLY FOR SQUARED MATRICES");
+      this->m_data.resize(rows());
+      Eigen::Map<IndexVector>(this->m_data.indexPtr(), rows()).setLinSpaced(0, StorageIndex(rows()-1));
+      Eigen::Map<ScalarVector>(this->m_data.valuePtr(), rows()).setOnes();
+      Eigen::Map<IndexVector>(this->m_outerIndex, rows()+1).setLinSpaced(0, StorageIndex(rows()));
+      std::free(m_innerNonZeros);
+      m_innerNonZeros = 0;
+    }
+    inline SparseMatrix& operator=(const SparseMatrix& other)
+    {
+      if (other.isRValue())
+      {
+        swap(other.const_cast_derived());
+      }
+      else if(this!=&other)
+      {
+        #ifdef EIGEN_SPARSE_CREATE_TEMPORARY_PLUGIN
+          EIGEN_SPARSE_CREATE_TEMPORARY_PLUGIN
+        #endif
+        initAssignment(other);
+        if(other.isCompressed())
+        {
+          internal::smart_copy(other.m_outerIndex, other.m_outerIndex + m_outerSize + 1, m_outerIndex);
+          m_data = other.m_data;
+        }
+        else
+        {
+          Base::operator=(other);
+        }
+      }
+      return *this;
+    }
+
+#ifndef EIGEN_PARSED_BY_DOXYGEN
+    template<typename OtherDerived>
+    inline SparseMatrix& operator=(const EigenBase<OtherDerived>& other)
+    { return Base::operator=(other.derived()); }
+#endif // EIGEN_PARSED_BY_DOXYGEN
+
+    template<typename OtherDerived>
+    EIGEN_DONT_INLINE SparseMatrix& operator=(const SparseMatrixBase<OtherDerived>& other);
+
+    friend std::ostream & operator << (std::ostream & s, const SparseMatrix& m)
+    {
+      EIGEN_DBG_SPARSE(
+        s << "Nonzero entries:\n";
+        if(m.isCompressed())
+        {
+          for (Index i=0; i<m.nonZeros(); ++i)
+            s << "(" << m.m_data.value(i) << "," << m.m_data.index(i) << ") ";
+        }
+        else
+        {
+          for (Index i=0; i<m.outerSize(); ++i)
+          {
+            Index p = m.m_outerIndex[i];
+            Index pe = m.m_outerIndex[i]+m.m_innerNonZeros[i];
+            Index k=p;
+            for (; k<pe; ++k) {
+              s << "(" << m.m_data.value(k) << "," << m.m_data.index(k) << ") ";
+            }
+            for (; k<m.m_outerIndex[i+1]; ++k) {
+              s << "(_,_) ";
+            }
+          }
+        }
+        s << std::endl;
+        s << std::endl;
+        s << "Outer pointers:\n";
+        for (Index i=0; i<m.outerSize(); ++i) {
+          s << m.m_outerIndex[i] << " ";
+        }
+        s << " $" << std::endl;
+        if(!m.isCompressed())
+        {
+          s << "Inner non zeros:\n";
+          for (Index i=0; i<m.outerSize(); ++i) {
+            s << m.m_innerNonZeros[i] << " ";
+          }
+          s << " $" << std::endl;
+        }
+        s << std::endl;
+      );
+      s << static_cast<const SparseMatrixBase<SparseMatrix>&>(m);
+      return s;
+    }
+
+    /** Destructor */
+    inline ~SparseMatrix()
+    {
+      std::free(m_outerIndex);
+      std::free(m_innerNonZeros);
+    }
+
+    /** Overloaded for performance */
+    Scalar sum() const;
+    
+#   ifdef EIGEN_SPARSEMATRIX_PLUGIN
+#     include EIGEN_SPARSEMATRIX_PLUGIN
+#   endif
+
+protected:
+
+    template<typename Other>
+    void initAssignment(const Other& other)
+    {
+      resize(other.rows(), other.cols());
+      if(m_innerNonZeros)
+      {
+        std::free(m_innerNonZeros);
+        m_innerNonZeros = 0;
+      }
+    }
+
+    /** \internal
+      * \sa insert(Index,Index) */
+    EIGEN_DONT_INLINE Scalar& insertCompressed(Index row, Index col);
+
+    /** \internal
+      * A vector object that is equal to 0 everywhere but v at the position i */
+    class SingletonVector
+    {
+        StorageIndex m_index;
+        StorageIndex m_value;
+      public:
+        typedef StorageIndex value_type;
+        SingletonVector(Index i, Index v)
+          : m_index(convert_index(i)), m_value(convert_index(v))
+        {}
+
+        StorageIndex operator[](Index i) const { return i==m_index ? m_value : 0; }
+    };
+
+    /** \internal
+      * \sa insert(Index,Index) */
+    EIGEN_DONT_INLINE Scalar& insertUncompressed(Index row, Index col);
+
+public:
+    /** \internal
+      * \sa insert(Index,Index) */
+    EIGEN_STRONG_INLINE Scalar& insertBackUncompressed(Index row, Index col)
+    {
+      const Index outer = IsRowMajor ? row : col;
+      const Index inner = IsRowMajor ? col : row;
+
+      eigen_assert(!isCompressed());
+      eigen_assert(m_innerNonZeros[outer]<=(m_outerIndex[outer+1] - m_outerIndex[outer]));
+
+      Index p = m_outerIndex[outer] + m_innerNonZeros[outer]++;
+      m_data.index(p) = convert_index(inner);
+      return (m_data.value(p) = Scalar(0));
+    }
+
+private:
+  static void check_template_parameters()
+  {
+    EIGEN_STATIC_ASSERT(NumTraits<StorageIndex>::IsSigned,THE_INDEX_TYPE_MUST_BE_A_SIGNED_TYPE);
+    EIGEN_STATIC_ASSERT((Options&(ColMajor|RowMajor))==Options,INVALID_MATRIX_TEMPLATE_PARAMETERS);
+  }
+
+  struct default_prunning_func {
+    default_prunning_func(const Scalar& ref, const RealScalar& eps) : reference(ref), epsilon(eps) {}
+    inline bool operator() (const Index&, const Index&, const Scalar& value) const
+    {
+      return !internal::isMuchSmallerThan(value, reference, epsilon);
+    }
+    Scalar reference;
+    RealScalar epsilon;
+  };
+};
+
+namespace internal {
+
+template<typename InputIterator, typename SparseMatrixType, typename DupFunctor>
+void set_from_triplets(const InputIterator& begin, const InputIterator& end, SparseMatrixType& mat, DupFunctor dup_func)
+{
+  enum { IsRowMajor = SparseMatrixType::IsRowMajor };
+  typedef typename SparseMatrixType::Scalar Scalar;
+  typedef typename SparseMatrixType::StorageIndex StorageIndex;
+  SparseMatrix<Scalar,IsRowMajor?ColMajor:RowMajor,StorageIndex> trMat(mat.rows(),mat.cols());
+
+  if(begin!=end)
+  {
+    // pass 1: count the nnz per inner-vector
+    typename SparseMatrixType::IndexVector wi(trMat.outerSize());
+    wi.setZero();
+    for(InputIterator it(begin); it!=end; ++it)
+    {
+      eigen_assert(it->row()>=0 && it->row()<mat.rows() && it->col()>=0 && it->col()<mat.cols());
+      wi(IsRowMajor ? it->col() : it->row())++;
+    }
+
+    // pass 2: insert all the elements into trMat
+    trMat.reserve(wi);
+    for(InputIterator it(begin); it!=end; ++it)
+      trMat.insertBackUncompressed(it->row(),it->col()) = it->value();
+
+    // pass 3:
+    trMat.collapseDuplicates(dup_func);
+  }
+
+  // pass 4: transposed copy -> implicit sorting
+  mat = trMat;
+}
+
+}
+
+
+/** Fill the matrix \c *this with the list of \em triplets defined by the iterator range \a begin - \a end.
+  *
+  * A \em triplet is a tuple (i,j,value) defining a non-zero element.
+  * The input list of triplets does not have to be sorted, and can contains duplicated elements.
+  * In any case, the result is a \b sorted and \b compressed sparse matrix where the duplicates have been summed up.
+  * This is a \em O(n) operation, with \em n the number of triplet elements.
+  * The initial contents of \c *this is destroyed.
+  * The matrix \c *this must be properly resized beforehand using the SparseMatrix(Index,Index) constructor,
+  * or the resize(Index,Index) method. The sizes are not extracted from the triplet list.
+  *
+  * The \a InputIterators value_type must provide the following interface:
+  * \code
+  * Scalar value() const; // the value
+  * Scalar row() const;   // the row index i
+  * Scalar col() const;   // the column index j
+  * \endcode
+  * See for instance the Eigen::Triplet template class.
+  *
+  * Here is a typical usage example:
+  * \code
+    typedef Triplet<double> T;
+    std::vector<T> tripletList;
+    triplets.reserve(estimation_of_entries);
+    for(...)
+    {
+      // ...
+      tripletList.push_back(T(i,j,v_ij));
+    }
+    SparseMatrixType m(rows,cols);
+    m.setFromTriplets(tripletList.begin(), tripletList.end());
+    // m is ready to go!
+  * \endcode
+  *
+  * \warning The list of triplets is read multiple times (at least twice). Therefore, it is not recommended to define
+  * an abstract iterator over a complex data-structure that would be expensive to evaluate. The triplets should rather
+  * be explicitely stored into a std::vector for instance.
+  */
+template<typename Scalar, int _Options, typename _StorageIndex>
+template<typename InputIterators>
+void SparseMatrix<Scalar,_Options,_StorageIndex>::setFromTriplets(const InputIterators& begin, const InputIterators& end)
+{
+  internal::set_from_triplets<InputIterators, SparseMatrix<Scalar,_Options,_StorageIndex> >(begin, end, *this, internal::scalar_sum_op<Scalar,Scalar>());
+}
+
+/** The same as setFromTriplets but when duplicates are met the functor \a dup_func is applied:
+  * \code
+  * value = dup_func(OldValue, NewValue)
+  * \endcode 
+  * Here is a C++11 example keeping the latest entry only:
+  * \code
+  * mat.setFromTriplets(triplets.begin(), triplets.end(), [] (const Scalar&,const Scalar &b) { return b; });
+  * \endcode
+  */
+template<typename Scalar, int _Options, typename _StorageIndex>
+template<typename InputIterators,typename DupFunctor>
+void SparseMatrix<Scalar,_Options,_StorageIndex>::setFromTriplets(const InputIterators& begin, const InputIterators& end, DupFunctor dup_func)
+{
+  internal::set_from_triplets<InputIterators, SparseMatrix<Scalar,_Options,_StorageIndex>, DupFunctor>(begin, end, *this, dup_func);
+}
+
+/** \internal */
+template<typename Scalar, int _Options, typename _StorageIndex>
+template<typename DupFunctor>
+void SparseMatrix<Scalar,_Options,_StorageIndex>::collapseDuplicates(DupFunctor dup_func)
+{
+  eigen_assert(!isCompressed());
+  // TODO, in practice we should be able to use m_innerNonZeros for that task
+  IndexVector wi(innerSize());
+  wi.fill(-1);
+  StorageIndex count = 0;
+  // for each inner-vector, wi[inner_index] will hold the position of first element into the index/value buffers
+  for(Index j=0; j<outerSize(); ++j)
+  {
+    StorageIndex start   = count;
+    Index oldEnd  = m_outerIndex[j]+m_innerNonZeros[j];
+    for(Index k=m_outerIndex[j]; k<oldEnd; ++k)
+    {
+      Index i = m_data.index(k);
+      if(wi(i)>=start)
+      {
+        // we already meet this entry => accumulate it
+        m_data.value(wi(i)) = dup_func(m_data.value(wi(i)), m_data.value(k));
+      }
+      else
+      {
+        m_data.value(count) = m_data.value(k);
+        m_data.index(count) = m_data.index(k);
+        wi(i) = count;
+        ++count;
+      }
+    }
+    m_outerIndex[j] = start;
+  }
+  m_outerIndex[m_outerSize] = count;
+
+  // turn the matrix into compressed form
+  std::free(m_innerNonZeros);
+  m_innerNonZeros = 0;
+  m_data.resize(m_outerIndex[m_outerSize]);
+}
+
+template<typename Scalar, int _Options, typename _StorageIndex>
+template<typename OtherDerived>
+EIGEN_DONT_INLINE SparseMatrix<Scalar,_Options,_StorageIndex>& SparseMatrix<Scalar,_Options,_StorageIndex>::operator=(const SparseMatrixBase<OtherDerived>& other)
+{
+  EIGEN_STATIC_ASSERT((internal::is_same<Scalar, typename OtherDerived::Scalar>::value),
+        YOU_MIXED_DIFFERENT_NUMERIC_TYPES__YOU_NEED_TO_USE_THE_CAST_METHOD_OF_MATRIXBASE_TO_CAST_NUMERIC_TYPES_EXPLICITLY)
+
+  #ifdef EIGEN_SPARSE_CREATE_TEMPORARY_PLUGIN
+    EIGEN_SPARSE_CREATE_TEMPORARY_PLUGIN
+  #endif
+      
+  const bool needToTranspose = (Flags & RowMajorBit) != (internal::evaluator<OtherDerived>::Flags & RowMajorBit);
+  if (needToTranspose)
+  {
+    #ifdef EIGEN_SPARSE_TRANSPOSED_COPY_PLUGIN
+      EIGEN_SPARSE_TRANSPOSED_COPY_PLUGIN
+    #endif
+    // two passes algorithm:
+    //  1 - compute the number of coeffs per dest inner vector
+    //  2 - do the actual copy/eval
+    // Since each coeff of the rhs has to be evaluated twice, let's evaluate it if needed
+    typedef typename internal::nested_eval<OtherDerived,2,typename internal::plain_matrix_type<OtherDerived>::type >::type OtherCopy;
+    typedef typename internal::remove_all<OtherCopy>::type _OtherCopy;
+    typedef internal::evaluator<_OtherCopy> OtherCopyEval;
+    OtherCopy otherCopy(other.derived());
+    OtherCopyEval otherCopyEval(otherCopy);
+
+    SparseMatrix dest(other.rows(),other.cols());
+    Eigen::Map<IndexVector> (dest.m_outerIndex,dest.outerSize()).setZero();
+
+    // pass 1
+    // FIXME the above copy could be merged with that pass
+    for (Index j=0; j<otherCopy.outerSize(); ++j)
+      for (typename OtherCopyEval::InnerIterator it(otherCopyEval, j); it; ++it)
+        ++dest.m_outerIndex[it.index()];
+
+    // prefix sum
+    StorageIndex count = 0;
+    IndexVector positions(dest.outerSize());
+    for (Index j=0; j<dest.outerSize(); ++j)
+    {
+      StorageIndex tmp = dest.m_outerIndex[j];
+      dest.m_outerIndex[j] = count;
+      positions[j] = count;
+      count += tmp;
+    }
+    dest.m_outerIndex[dest.outerSize()] = count;
+    // alloc
+    dest.m_data.resize(count);
+    // pass 2
+    for (StorageIndex j=0; j<otherCopy.outerSize(); ++j)
+    {
+      for (typename OtherCopyEval::InnerIterator it(otherCopyEval, j); it; ++it)
+      {
+        Index pos = positions[it.index()]++;
+        dest.m_data.index(pos) = j;
+        dest.m_data.value(pos) = it.value();
+      }
+    }
+    this->swap(dest);
+    return *this;
+  }
+  else
+  {
+    if(other.isRValue())
+    {
+      initAssignment(other.derived());
+    }
+    // there is no special optimization
+    return Base::operator=(other.derived());
+  }
+}
+
+template<typename _Scalar, int _Options, typename _StorageIndex>
+typename SparseMatrix<_Scalar,_Options,_StorageIndex>::Scalar& SparseMatrix<_Scalar,_Options,_StorageIndex>::insert(Index row, Index col)
+{
+  eigen_assert(row>=0 && row<rows() && col>=0 && col<cols());
+  
+  const Index outer = IsRowMajor ? row : col;
+  const Index inner = IsRowMajor ? col : row;
+  
+  if(isCompressed())
+  {
+    if(nonZeros()==0)
+    {
+      // reserve space if not already done
+      if(m_data.allocatedSize()==0)
+        m_data.reserve(2*m_innerSize);
+      
+      // turn the matrix into non-compressed mode
+      m_innerNonZeros = static_cast<StorageIndex*>(std::malloc(m_outerSize * sizeof(StorageIndex)));
+      if(!m_innerNonZeros) internal::throw_std_bad_alloc();
+      
+      memset(m_innerNonZeros, 0, (m_outerSize)*sizeof(StorageIndex));
+      
+      // pack all inner-vectors to the end of the pre-allocated space
+      // and allocate the entire free-space to the first inner-vector
+      StorageIndex end = convert_index(m_data.allocatedSize());
+      for(Index j=1; j<=m_outerSize; ++j)
+        m_outerIndex[j] = end;
+    }
+    else
+    {
+      // turn the matrix into non-compressed mode
+      m_innerNonZeros = static_cast<StorageIndex*>(std::malloc(m_outerSize * sizeof(StorageIndex)));
+      if(!m_innerNonZeros) internal::throw_std_bad_alloc();
+      for(Index j=0; j<m_outerSize; ++j)
+        m_innerNonZeros[j] = m_outerIndex[j+1]-m_outerIndex[j];
+    }
+  }
+  
+  // check whether we can do a fast "push back" insertion
+  Index data_end = m_data.allocatedSize();
+  
+  // First case: we are filling a new inner vector which is packed at the end.
+  // We assume that all remaining inner-vectors are also empty and packed to the end.
+  if(m_outerIndex[outer]==data_end)
+  {
+    eigen_internal_assert(m_innerNonZeros[outer]==0);
+    
+    // pack previous empty inner-vectors to end of the used-space
+    // and allocate the entire free-space to the current inner-vector.
+    StorageIndex p = convert_index(m_data.size());
+    Index j = outer;
+    while(j>=0 && m_innerNonZeros[j]==0)
+      m_outerIndex[j--] = p;
+    
+    // push back the new element
+    ++m_innerNonZeros[outer];
+    m_data.append(Scalar(0), inner);
+    
+    // check for reallocation
+    if(data_end != m_data.allocatedSize())
+    {
+      // m_data has been reallocated
+      //  -> move remaining inner-vectors back to the end of the free-space
+      //     so that the entire free-space is allocated to the current inner-vector.
+      eigen_internal_assert(data_end < m_data.allocatedSize());
+      StorageIndex new_end = convert_index(m_data.allocatedSize());
+      for(Index k=outer+1; k<=m_outerSize; ++k)
+        if(m_outerIndex[k]==data_end)
+          m_outerIndex[k] = new_end;
+    }
+    return m_data.value(p);
+  }
+  
+  // Second case: the next inner-vector is packed to the end
+  // and the current inner-vector end match the used-space.
+  if(m_outerIndex[outer+1]==data_end && m_outerIndex[outer]+m_innerNonZeros[outer]==m_data.size())
+  {
+    eigen_internal_assert(outer+1==m_outerSize || m_innerNonZeros[outer+1]==0);
+    
+    // add space for the new element
+    ++m_innerNonZeros[outer];
+    m_data.resize(m_data.size()+1);
+    
+    // check for reallocation
+    if(data_end != m_data.allocatedSize())
+    {
+      // m_data has been reallocated
+      //  -> move remaining inner-vectors back to the end of the free-space
+      //     so that the entire free-space is allocated to the current inner-vector.
+      eigen_internal_assert(data_end < m_data.allocatedSize());
+      StorageIndex new_end = convert_index(m_data.allocatedSize());
+      for(Index k=outer+1; k<=m_outerSize; ++k)
+        if(m_outerIndex[k]==data_end)
+          m_outerIndex[k] = new_end;
+    }
+    
+    // and insert it at the right position (sorted insertion)
+    Index startId = m_outerIndex[outer];
+    Index p = m_outerIndex[outer]+m_innerNonZeros[outer]-1;
+    while ( (p > startId) && (m_data.index(p-1) > inner) )
+    {
+      m_data.index(p) = m_data.index(p-1);
+      m_data.value(p) = m_data.value(p-1);
+      --p;
+    }
+    
+    m_data.index(p) = convert_index(inner);
+    return (m_data.value(p) = 0);
+  }
+  
+  if(m_data.size() != m_data.allocatedSize())
+  {
+    // make sure the matrix is compatible to random un-compressed insertion:
+    m_data.resize(m_data.allocatedSize());
+    this->reserveInnerVectors(Array<StorageIndex,Dynamic,1>::Constant(m_outerSize, 2));
+  }
+  
+  return insertUncompressed(row,col);
+}
+    
+template<typename _Scalar, int _Options, typename _StorageIndex>
+EIGEN_DONT_INLINE typename SparseMatrix<_Scalar,_Options,_StorageIndex>::Scalar& SparseMatrix<_Scalar,_Options,_StorageIndex>::insertUncompressed(Index row, Index col)
+{
+  eigen_assert(!isCompressed());
+
+  const Index outer = IsRowMajor ? row : col;
+  const StorageIndex inner = convert_index(IsRowMajor ? col : row);
+
+  Index room = m_outerIndex[outer+1] - m_outerIndex[outer];
+  StorageIndex innerNNZ = m_innerNonZeros[outer];
+  if(innerNNZ>=room)
+  {
+    // this inner vector is full, we need to reallocate the whole buffer :(
+    reserve(SingletonVector(outer,std::max<StorageIndex>(2,innerNNZ)));
+  }
+
+  Index startId = m_outerIndex[outer];
+  Index p = startId + m_innerNonZeros[outer];
+  while ( (p > startId) && (m_data.index(p-1) > inner) )
+  {
+    m_data.index(p) = m_data.index(p-1);
+    m_data.value(p) = m_data.value(p-1);
+    --p;
+  }
+  eigen_assert((p<=startId || m_data.index(p-1)!=inner) && "you cannot insert an element that already exists, you must call coeffRef to this end");
+
+  m_innerNonZeros[outer]++;
+
+  m_data.index(p) = inner;
+  return (m_data.value(p) = Scalar(0));
+}
+
+template<typename _Scalar, int _Options, typename _StorageIndex>
+EIGEN_DONT_INLINE typename SparseMatrix<_Scalar,_Options,_StorageIndex>::Scalar& SparseMatrix<_Scalar,_Options,_StorageIndex>::insertCompressed(Index row, Index col)
+{
+  eigen_assert(isCompressed());
+
+  const Index outer = IsRowMajor ? row : col;
+  const Index inner = IsRowMajor ? col : row;
+
+  Index previousOuter = outer;
+  if (m_outerIndex[outer+1]==0)
+  {
+    // we start a new inner vector
+    while (previousOuter>=0 && m_outerIndex[previousOuter]==0)
+    {
+      m_outerIndex[previousOuter] = convert_index(m_data.size());
+      --previousOuter;
+    }
+    m_outerIndex[outer+1] = m_outerIndex[outer];
+  }
+
+  // here we have to handle the tricky case where the outerIndex array
+  // starts with: [ 0 0 0 0 0 1 ...] and we are inserted in, e.g.,
+  // the 2nd inner vector...
+  bool isLastVec = (!(previousOuter==-1 && m_data.size()!=0))
+                && (std::size_t(m_outerIndex[outer+1]) == m_data.size());
+
+  std::size_t startId = m_outerIndex[outer];
+  // FIXME let's make sure sizeof(long int) == sizeof(std::size_t)
+  std::size_t p = m_outerIndex[outer+1];
+  ++m_outerIndex[outer+1];
+
+  double reallocRatio = 1;
+  if (m_data.allocatedSize()<=m_data.size())
+  {
+    // if there is no preallocated memory, let's reserve a minimum of 32 elements
+    if (m_data.size()==0)
+    {
+      m_data.reserve(32);
+    }
+    else
+    {
+      // we need to reallocate the data, to reduce multiple reallocations
+      // we use a smart resize algorithm based on the current filling ratio
+      // in addition, we use double to avoid integers overflows
+      double nnzEstimate = double(m_outerIndex[outer])*double(m_outerSize)/double(outer+1);
+      reallocRatio = (nnzEstimate-double(m_data.size()))/double(m_data.size());
+      // furthermore we bound the realloc ratio to:
+      //   1) reduce multiple minor realloc when the matrix is almost filled
+      //   2) avoid to allocate too much memory when the matrix is almost empty
+      reallocRatio = (std::min)((std::max)(reallocRatio,1.5),8.);
+    }
+  }
+  m_data.resize(m_data.size()+1,reallocRatio);
+
+  if (!isLastVec)
+  {
+    if (previousOuter==-1)
+    {
+      // oops wrong guess.
+      // let's correct the outer offsets
+      for (Index k=0; k<=(outer+1); ++k)
+        m_outerIndex[k] = 0;
+      Index k=outer+1;
+      while(m_outerIndex[k]==0)
+        m_outerIndex[k++] = 1;
+      while (k<=m_outerSize && m_outerIndex[k]!=0)
+        m_outerIndex[k++]++;
+      p = 0;
+      --k;
+      k = m_outerIndex[k]-1;
+      while (k>0)
+      {
+        m_data.index(k) = m_data.index(k-1);
+        m_data.value(k) = m_data.value(k-1);
+        k--;
+      }
+    }
+    else
+    {
+      // we are not inserting into the last inner vec
+      // update outer indices:
+      Index j = outer+2;
+      while (j<=m_outerSize && m_outerIndex[j]!=0)
+        m_outerIndex[j++]++;
+      --j;
+      // shift data of last vecs:
+      Index k = m_outerIndex[j]-1;
+      while (k>=Index(p))
+      {
+        m_data.index(k) = m_data.index(k-1);
+        m_data.value(k) = m_data.value(k-1);
+        k--;
+      }
+    }
+  }
+
+  while ( (p > startId) && (m_data.index(p-1) > inner) )
+  {
+    m_data.index(p) = m_data.index(p-1);
+    m_data.value(p) = m_data.value(p-1);
+    --p;
+  }
+
+  m_data.index(p) = inner;
+  return (m_data.value(p) = Scalar(0));
+}
+
+namespace internal {
+
+template<typename _Scalar, int _Options, typename _StorageIndex>
+struct evaluator<SparseMatrix<_Scalar,_Options,_StorageIndex> >
+  : evaluator<SparseCompressedBase<SparseMatrix<_Scalar,_Options,_StorageIndex> > >
+{
+  typedef evaluator<SparseCompressedBase<SparseMatrix<_Scalar,_Options,_StorageIndex> > > Base;
+  typedef SparseMatrix<_Scalar,_Options,_StorageIndex> SparseMatrixType;
+  evaluator() : Base() {}
+  explicit evaluator(const SparseMatrixType &mat) : Base(mat) {}
+};
+
+}
+
+} // end namespace Eigen
+
+#endif // EIGEN_SPARSEMATRIX_H
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/SparseCore/SparseSolverBase.h
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/SparseCore/SparseSolverBase.h	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/SparseCore/SparseSolverBase.h	(revision 3761)
@@ -0,0 +1,124 @@
+// This file is part of Eigen, a lightweight C++ template library
+// for linear algebra.
+//
+// Copyright (C) 2014 Gael Guennebaud <gael.guennebaud@inria.fr>
+//
+// This Source Code Form is subject to the terms of the Mozilla
+// Public License v. 2.0. If a copy of the MPL was not distributed
+// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
+
+#ifndef EIGEN_SPARSESOLVERBASE_H
+#define EIGEN_SPARSESOLVERBASE_H
+
+namespace Eigen { 
+
+namespace internal {
+
+  /** \internal
+  * Helper functions to solve with a sparse right-hand-side and result.
+  * The rhs is decomposed into small vertical panels which are solved through dense temporaries.
+  */
+template<typename Decomposition, typename Rhs, typename Dest>
+typename enable_if<Rhs::ColsAtCompileTime!=1 && Dest::ColsAtCompileTime!=1>::type
+solve_sparse_through_dense_panels(const Decomposition &dec, const Rhs& rhs, Dest &dest)
+{
+  EIGEN_STATIC_ASSERT((Dest::Flags&RowMajorBit)==0,THIS_METHOD_IS_ONLY_FOR_COLUMN_MAJOR_MATRICES);
+  typedef typename Dest::Scalar DestScalar;
+  // we process the sparse rhs per block of NbColsAtOnce columns temporarily stored into a dense matrix.
+  static const Index NbColsAtOnce = 4;
+  Index rhsCols = rhs.cols();
+  Index size = rhs.rows();
+  // the temporary matrices do not need more columns than NbColsAtOnce:
+  Index tmpCols = (std::min)(rhsCols, NbColsAtOnce); 
+  Eigen::Matrix<DestScalar,Dynamic,Dynamic> tmp(size,tmpCols);
+  Eigen::Matrix<DestScalar,Dynamic,Dynamic> tmpX(size,tmpCols);
+  for(Index k=0; k<rhsCols; k+=NbColsAtOnce)
+  {
+    Index actualCols = std::min<Index>(rhsCols-k, NbColsAtOnce);
+    tmp.leftCols(actualCols) = rhs.middleCols(k,actualCols);
+    tmpX.leftCols(actualCols) = dec.solve(tmp.leftCols(actualCols));
+    dest.middleCols(k,actualCols) = tmpX.leftCols(actualCols).sparseView();
+  }
+}
+
+// Overload for vector as rhs
+template<typename Decomposition, typename Rhs, typename Dest>
+typename enable_if<Rhs::ColsAtCompileTime==1 || Dest::ColsAtCompileTime==1>::type
+solve_sparse_through_dense_panels(const Decomposition &dec, const Rhs& rhs, Dest &dest)
+{
+  typedef typename Dest::Scalar DestScalar;
+  Index size = rhs.rows();
+  Eigen::Matrix<DestScalar,Dynamic,1> rhs_dense(rhs);
+  Eigen::Matrix<DestScalar,Dynamic,1> dest_dense(size);
+  dest_dense = dec.solve(rhs_dense);
+  dest = dest_dense.sparseView();
+}
+
+} // end namespace internal
+
+/** \class SparseSolverBase
+  * \ingroup SparseCore_Module
+  * \brief A base class for sparse solvers
+  *
+  * \tparam Derived the actual type of the solver.
+  *
+  */
+template<typename Derived>
+class SparseSolverBase : internal::noncopyable
+{
+  public:
+
+    /** Default constructor */
+    SparseSolverBase()
+      : m_isInitialized(false)
+    {}
+
+    ~SparseSolverBase()
+    {}
+
+    Derived& derived() { return *static_cast<Derived*>(this); }
+    const Derived& derived() const { return *static_cast<const Derived*>(this); }
+    
+    /** \returns an expression of the solution x of \f$ A x = b \f$ using the current decomposition of A.
+      *
+      * \sa compute()
+      */
+    template<typename Rhs>
+    inline const Solve<Derived, Rhs>
+    solve(const MatrixBase<Rhs>& b) const
+    {
+      eigen_assert(m_isInitialized && "Solver is not initialized.");
+      eigen_assert(derived().rows()==b.rows() && "solve(): invalid number of rows of the right hand side matrix b");
+      return Solve<Derived, Rhs>(derived(), b.derived());
+    }
+    
+    /** \returns an expression of the solution x of \f$ A x = b \f$ using the current decomposition of A.
+      *
+      * \sa compute()
+      */
+    template<typename Rhs>
+    inline const Solve<Derived, Rhs>
+    solve(const SparseMatrixBase<Rhs>& b) const
+    {
+      eigen_assert(m_isInitialized && "Solver is not initialized.");
+      eigen_assert(derived().rows()==b.rows() && "solve(): invalid number of rows of the right hand side matrix b");
+      return Solve<Derived, Rhs>(derived(), b.derived());
+    }
+    
+    #ifndef EIGEN_PARSED_BY_DOXYGEN
+    /** \internal default implementation of solving with a sparse rhs */
+    template<typename Rhs,typename Dest>
+    void _solve_impl(const SparseMatrixBase<Rhs> &b, SparseMatrixBase<Dest> &dest) const
+    {
+      internal::solve_sparse_through_dense_panels(derived(), b.derived(), dest.derived());
+    }
+    #endif // EIGEN_PARSED_BY_DOXYGEN
+
+  protected:
+    
+    mutable bool m_isInitialized;
+};
+
+} // end namespace Eigen
+
+#endif // EIGEN_SPARSESOLVERBASE_H
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/SparseCore/SparsePermutation.h
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/SparseCore/SparsePermutation.h	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/SparseCore/SparsePermutation.h	(revision 3761)
@@ -0,0 +1,178 @@
+// This file is part of Eigen, a lightweight C++ template library
+// for linear algebra.
+//
+// Copyright (C) 2012 Gael Guennebaud <gael.guennebaud@inria.fr>
+//
+// This Source Code Form is subject to the terms of the Mozilla
+// Public License v. 2.0. If a copy of the MPL was not distributed
+// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
+
+#ifndef EIGEN_SPARSE_PERMUTATION_H
+#define EIGEN_SPARSE_PERMUTATION_H
+
+// This file implements sparse * permutation products
+
+namespace Eigen { 
+
+namespace internal {
+
+template<typename ExpressionType, int Side, bool Transposed>
+struct permutation_matrix_product<ExpressionType, Side, Transposed, SparseShape>
+{
+    typedef typename nested_eval<ExpressionType, 1>::type MatrixType;
+    typedef typename remove_all<MatrixType>::type MatrixTypeCleaned;
+
+    typedef typename MatrixTypeCleaned::Scalar Scalar;
+    typedef typename MatrixTypeCleaned::StorageIndex StorageIndex;
+
+    enum {
+      SrcStorageOrder = MatrixTypeCleaned::Flags&RowMajorBit ? RowMajor : ColMajor,
+      MoveOuter = SrcStorageOrder==RowMajor ? Side==OnTheLeft : Side==OnTheRight
+    };
+    
+    typedef typename internal::conditional<MoveOuter,
+        SparseMatrix<Scalar,SrcStorageOrder,StorageIndex>,
+        SparseMatrix<Scalar,int(SrcStorageOrder)==RowMajor?ColMajor:RowMajor,StorageIndex> >::type ReturnType;
+
+    template<typename Dest,typename PermutationType>
+    static inline void run(Dest& dst, const PermutationType& perm, const ExpressionType& xpr)
+    {
+      MatrixType mat(xpr);
+      if(MoveOuter)
+      {
+        SparseMatrix<Scalar,SrcStorageOrder,StorageIndex> tmp(mat.rows(), mat.cols());
+        Matrix<StorageIndex,Dynamic,1> sizes(mat.outerSize());
+        for(Index j=0; j<mat.outerSize(); ++j)
+        {
+          Index jp = perm.indices().coeff(j);
+          sizes[((Side==OnTheLeft) ^ Transposed) ? jp : j] = StorageIndex(mat.innerVector(((Side==OnTheRight) ^ Transposed) ? jp : j).nonZeros());
+        }
+        tmp.reserve(sizes);
+        for(Index j=0; j<mat.outerSize(); ++j)
+        {
+          Index jp = perm.indices().coeff(j);
+          Index jsrc = ((Side==OnTheRight) ^ Transposed) ? jp : j;
+          Index jdst = ((Side==OnTheLeft) ^ Transposed) ? jp : j;
+          for(typename MatrixTypeCleaned::InnerIterator it(mat,jsrc); it; ++it)
+            tmp.insertByOuterInner(jdst,it.index()) = it.value();
+        }
+        dst = tmp;
+      }
+      else
+      {
+        SparseMatrix<Scalar,int(SrcStorageOrder)==RowMajor?ColMajor:RowMajor,StorageIndex> tmp(mat.rows(), mat.cols());
+        Matrix<StorageIndex,Dynamic,1> sizes(tmp.outerSize());
+        sizes.setZero();
+        PermutationMatrix<Dynamic,Dynamic,StorageIndex> perm_cpy;
+        if((Side==OnTheLeft) ^ Transposed)
+          perm_cpy = perm;
+        else
+          perm_cpy = perm.transpose();
+
+        for(Index j=0; j<mat.outerSize(); ++j)
+          for(typename MatrixTypeCleaned::InnerIterator it(mat,j); it; ++it)
+            sizes[perm_cpy.indices().coeff(it.index())]++;
+        tmp.reserve(sizes);
+        for(Index j=0; j<mat.outerSize(); ++j)
+          for(typename MatrixTypeCleaned::InnerIterator it(mat,j); it; ++it)
+            tmp.insertByOuterInner(perm_cpy.indices().coeff(it.index()),j) = it.value();
+        dst = tmp;
+      }
+    }
+};
+
+}
+
+namespace internal {
+
+template <int ProductTag> struct product_promote_storage_type<Sparse,             PermutationStorage, ProductTag> { typedef Sparse ret; };
+template <int ProductTag> struct product_promote_storage_type<PermutationStorage, Sparse,             ProductTag> { typedef Sparse ret; };
+
+// TODO, the following two overloads are only needed to define the right temporary type through 
+// typename traits<permutation_sparse_matrix_product<Rhs,Lhs,OnTheRight,false> >::ReturnType
+// whereas it should be correctly handled by traits<Product<> >::PlainObject
+
+template<typename Lhs, typename Rhs, int ProductTag>
+struct product_evaluator<Product<Lhs, Rhs, AliasFreeProduct>, ProductTag, PermutationShape, SparseShape>
+  : public evaluator<typename permutation_matrix_product<Rhs,OnTheLeft,false,SparseShape>::ReturnType>
+{
+  typedef Product<Lhs, Rhs, AliasFreeProduct> XprType;
+  typedef typename permutation_matrix_product<Rhs,OnTheLeft,false,SparseShape>::ReturnType PlainObject;
+  typedef evaluator<PlainObject> Base;
+
+  enum {
+    Flags = Base::Flags | EvalBeforeNestingBit
+  };
+
+  explicit product_evaluator(const XprType& xpr)
+    : m_result(xpr.rows(), xpr.cols())
+  {
+    ::new (static_cast<Base*>(this)) Base(m_result);
+    generic_product_impl<Lhs, Rhs, PermutationShape, SparseShape, ProductTag>::evalTo(m_result, xpr.lhs(), xpr.rhs());
+  }
+
+protected:
+  PlainObject m_result;
+};
+
+template<typename Lhs, typename Rhs, int ProductTag>
+struct product_evaluator<Product<Lhs, Rhs, AliasFreeProduct>, ProductTag, SparseShape, PermutationShape >
+  : public evaluator<typename permutation_matrix_product<Lhs,OnTheRight,false,SparseShape>::ReturnType>
+{
+  typedef Product<Lhs, Rhs, AliasFreeProduct> XprType;
+  typedef typename permutation_matrix_product<Lhs,OnTheRight,false,SparseShape>::ReturnType PlainObject;
+  typedef evaluator<PlainObject> Base;
+
+  enum {
+    Flags = Base::Flags | EvalBeforeNestingBit
+  };
+
+  explicit product_evaluator(const XprType& xpr)
+    : m_result(xpr.rows(), xpr.cols())
+  {
+    ::new (static_cast<Base*>(this)) Base(m_result);
+    generic_product_impl<Lhs, Rhs, SparseShape, PermutationShape, ProductTag>::evalTo(m_result, xpr.lhs(), xpr.rhs());
+  }
+
+protected:
+  PlainObject m_result;
+};
+
+} // end namespace internal
+
+/** \returns the matrix with the permutation applied to the columns
+  */
+template<typename SparseDerived, typename PermDerived>
+inline const Product<SparseDerived, PermDerived, AliasFreeProduct>
+operator*(const SparseMatrixBase<SparseDerived>& matrix, const PermutationBase<PermDerived>& perm)
+{ return Product<SparseDerived, PermDerived, AliasFreeProduct>(matrix.derived(), perm.derived()); }
+
+/** \returns the matrix with the permutation applied to the rows
+  */
+template<typename SparseDerived, typename PermDerived>
+inline const Product<PermDerived, SparseDerived, AliasFreeProduct>
+operator*( const PermutationBase<PermDerived>& perm, const SparseMatrixBase<SparseDerived>& matrix)
+{ return  Product<PermDerived, SparseDerived, AliasFreeProduct>(perm.derived(), matrix.derived()); }
+
+
+/** \returns the matrix with the inverse permutation applied to the columns.
+  */
+template<typename SparseDerived, typename PermutationType>
+inline const Product<SparseDerived, Inverse<PermutationType>, AliasFreeProduct>
+operator*(const SparseMatrixBase<SparseDerived>& matrix, const InverseImpl<PermutationType, PermutationStorage>& tperm)
+{
+  return Product<SparseDerived, Inverse<PermutationType>, AliasFreeProduct>(matrix.derived(), tperm.derived());
+}
+
+/** \returns the matrix with the inverse permutation applied to the rows.
+  */
+template<typename SparseDerived, typename PermutationType>
+inline const Product<Inverse<PermutationType>, SparseDerived, AliasFreeProduct>
+operator*(const InverseImpl<PermutationType,PermutationStorage>& tperm, const SparseMatrixBase<SparseDerived>& matrix)
+{
+  return Product<Inverse<PermutationType>, SparseDerived, AliasFreeProduct>(tperm.derived(), matrix.derived());
+}
+
+} // end namespace Eigen
+
+#endif // EIGEN_SPARSE_SELFADJOINTVIEW_H
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/SparseCore/SparseView.h
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/SparseCore/SparseView.h	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/SparseCore/SparseView.h	(revision 3761)
@@ -0,0 +1,254 @@
+// This file is part of Eigen, a lightweight C++ template library
+// for linear algebra.
+//
+// Copyright (C) 2011-2014 Gael Guennebaud <gael.guennebaud@inria.fr>
+// Copyright (C) 2010 Daniel Lowengrub <lowdanie@gmail.com>
+//
+// This Source Code Form is subject to the terms of the Mozilla
+// Public License v. 2.0. If a copy of the MPL was not distributed
+// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
+
+#ifndef EIGEN_SPARSEVIEW_H
+#define EIGEN_SPARSEVIEW_H
+
+namespace Eigen { 
+
+namespace internal {
+
+template<typename MatrixType>
+struct traits<SparseView<MatrixType> > : traits<MatrixType>
+{
+  typedef typename MatrixType::StorageIndex StorageIndex;
+  typedef Sparse StorageKind;
+  enum {
+    Flags = int(traits<MatrixType>::Flags) & (RowMajorBit)
+  };
+};
+
+} // end namespace internal
+
+/** \ingroup SparseCore_Module
+  * \class SparseView
+  *
+  * \brief Expression of a dense or sparse matrix with zero or too small values removed
+  *
+  * \tparam MatrixType the type of the object of which we are removing the small entries
+  *
+  * This class represents an expression of a given dense or sparse matrix with
+  * entries smaller than \c reference * \c epsilon are removed.
+  * It is the return type of MatrixBase::sparseView() and SparseMatrixBase::pruned()
+  * and most of the time this is the only way it is used.
+  *
+  * \sa MatrixBase::sparseView(), SparseMatrixBase::pruned()
+  */
+template<typename MatrixType>
+class SparseView : public SparseMatrixBase<SparseView<MatrixType> >
+{
+  typedef typename MatrixType::Nested MatrixTypeNested;
+  typedef typename internal::remove_all<MatrixTypeNested>::type _MatrixTypeNested;
+  typedef SparseMatrixBase<SparseView > Base;
+public:
+  EIGEN_SPARSE_PUBLIC_INTERFACE(SparseView)
+  typedef typename internal::remove_all<MatrixType>::type NestedExpression;
+
+  explicit SparseView(const MatrixType& mat, const Scalar& reference = Scalar(0),
+                      const RealScalar &epsilon = NumTraits<Scalar>::dummy_precision())
+    : m_matrix(mat), m_reference(reference), m_epsilon(epsilon) {}
+
+  inline Index rows() const { return m_matrix.rows(); }
+  inline Index cols() const { return m_matrix.cols(); }
+
+  inline Index innerSize() const { return m_matrix.innerSize(); }
+  inline Index outerSize() const { return m_matrix.outerSize(); }
+  
+  /** \returns the nested expression */
+  const typename internal::remove_all<MatrixTypeNested>::type&
+  nestedExpression() const { return m_matrix; }
+  
+  Scalar reference() const { return m_reference; }
+  RealScalar epsilon() const { return m_epsilon; }
+  
+protected:
+  MatrixTypeNested m_matrix;
+  Scalar m_reference;
+  RealScalar m_epsilon;
+};
+
+namespace internal {
+
+// TODO find a way to unify the two following variants
+// This is tricky because implementing an inner iterator on top of an IndexBased evaluator is
+// not easy because the evaluators do not expose the sizes of the underlying expression.
+  
+template<typename ArgType>
+struct unary_evaluator<SparseView<ArgType>, IteratorBased>
+  : public evaluator_base<SparseView<ArgType> >
+{
+    typedef typename evaluator<ArgType>::InnerIterator EvalIterator;
+  public:
+    typedef SparseView<ArgType> XprType;
+    
+    class InnerIterator : public EvalIterator
+    {
+      protected:
+        typedef typename XprType::Scalar Scalar;
+      public:
+
+        EIGEN_STRONG_INLINE InnerIterator(const unary_evaluator& sve, Index outer)
+          : EvalIterator(sve.m_argImpl,outer), m_view(sve.m_view)
+        {
+          incrementToNonZero();
+        }
+
+        EIGEN_STRONG_INLINE InnerIterator& operator++()
+        {
+          EvalIterator::operator++();
+          incrementToNonZero();
+          return *this;
+        }
+
+        using EvalIterator::value;
+
+      protected:
+        const XprType &m_view;
+
+      private:
+        void incrementToNonZero()
+        {
+          while((bool(*this)) && internal::isMuchSmallerThan(value(), m_view.reference(), m_view.epsilon()))
+          {
+            EvalIterator::operator++();
+          }
+        }
+    };
+    
+    enum {
+      CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
+      Flags = XprType::Flags
+    };
+    
+    explicit unary_evaluator(const XprType& xpr) : m_argImpl(xpr.nestedExpression()), m_view(xpr) {}
+
+  protected:
+    evaluator<ArgType> m_argImpl;
+    const XprType &m_view;
+};
+
+template<typename ArgType>
+struct unary_evaluator<SparseView<ArgType>, IndexBased>
+  : public evaluator_base<SparseView<ArgType> >
+{
+  public:
+    typedef SparseView<ArgType> XprType;
+  protected:
+    enum { IsRowMajor = (XprType::Flags&RowMajorBit)==RowMajorBit };
+    typedef typename XprType::Scalar Scalar;
+    typedef typename XprType::StorageIndex StorageIndex;
+  public:
+    
+    class InnerIterator
+    {
+      public:
+
+        EIGEN_STRONG_INLINE InnerIterator(const unary_evaluator& sve, Index outer)
+          : m_sve(sve), m_inner(0), m_outer(outer), m_end(sve.m_view.innerSize())
+        {
+          incrementToNonZero();
+        }
+
+        EIGEN_STRONG_INLINE InnerIterator& operator++()
+        {
+          m_inner++;
+          incrementToNonZero();
+          return *this;
+        }
+
+        EIGEN_STRONG_INLINE Scalar value() const
+        {
+          return (IsRowMajor) ? m_sve.m_argImpl.coeff(m_outer, m_inner)
+                              : m_sve.m_argImpl.coeff(m_inner, m_outer);
+        }
+
+        EIGEN_STRONG_INLINE StorageIndex index() const { return m_inner; }
+        inline Index row() const { return IsRowMajor ? m_outer : index(); }
+        inline Index col() const { return IsRowMajor ? index() : m_outer; }
+
+        EIGEN_STRONG_INLINE operator bool() const { return m_inner < m_end && m_inner>=0; }
+
+      protected:
+        const unary_evaluator &m_sve;
+        Index m_inner;
+        const Index m_outer;
+        const Index m_end;
+
+      private:
+        void incrementToNonZero()
+        {
+          while((bool(*this)) && internal::isMuchSmallerThan(value(), m_sve.m_view.reference(), m_sve.m_view.epsilon()))
+          {
+            m_inner++;
+          }
+        }
+    };
+    
+    enum {
+      CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
+      Flags = XprType::Flags
+    };
+    
+    explicit unary_evaluator(const XprType& xpr) : m_argImpl(xpr.nestedExpression()), m_view(xpr) {}
+
+  protected:
+    evaluator<ArgType> m_argImpl;
+    const XprType &m_view;
+};
+
+} // end namespace internal
+
+/** \ingroup SparseCore_Module
+  *
+  * \returns a sparse expression of the dense expression \c *this with values smaller than
+  * \a reference * \a epsilon removed.
+  *
+  * This method is typically used when prototyping to convert a quickly assembled dense Matrix \c D to a SparseMatrix \c S:
+  * \code
+  * MatrixXd D(n,m);
+  * SparseMatrix<double> S;
+  * S = D.sparseView();             // suppress numerical zeros (exact)
+  * S = D.sparseView(reference);
+  * S = D.sparseView(reference,epsilon);
+  * \endcode
+  * where \a reference is a meaningful non zero reference value,
+  * and \a epsilon is a tolerance factor defaulting to NumTraits<Scalar>::dummy_precision().
+  *
+  * \sa SparseMatrixBase::pruned(), class SparseView */
+template<typename Derived>
+const SparseView<Derived> MatrixBase<Derived>::sparseView(const Scalar& reference,
+                                                          const typename NumTraits<Scalar>::Real& epsilon) const
+{
+  return SparseView<Derived>(derived(), reference, epsilon);
+}
+
+/** \returns an expression of \c *this with values smaller than
+  * \a reference * \a epsilon removed.
+  *
+  * This method is typically used in conjunction with the product of two sparse matrices
+  * to automatically prune the smallest values as follows:
+  * \code
+  * C = (A*B).pruned();             // suppress numerical zeros (exact)
+  * C = (A*B).pruned(ref);
+  * C = (A*B).pruned(ref,epsilon);
+  * \endcode
+  * where \c ref is a meaningful non zero reference value.
+  * */
+template<typename Derived>
+const SparseView<Derived>
+SparseMatrixBase<Derived>::pruned(const Scalar& reference,
+                                  const RealScalar& epsilon) const
+{
+  return SparseView<Derived>(derived(), reference, epsilon);
+}
+
+} // end namespace Eigen
+
+#endif
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/SparseCore/CompressedStorage.h
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/SparseCore/CompressedStorage.h	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/SparseCore/CompressedStorage.h	(revision 3761)
@@ -0,0 +1,258 @@
+// This file is part of Eigen, a lightweight C++ template library
+// for linear algebra.
+//
+// Copyright (C) 2008-2014 Gael Guennebaud <gael.guennebaud@inria.fr>
+//
+// This Source Code Form is subject to the terms of the Mozilla
+// Public License v. 2.0. If a copy of the MPL was not distributed
+// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
+
+#ifndef EIGEN_COMPRESSED_STORAGE_H
+#define EIGEN_COMPRESSED_STORAGE_H
+
+namespace Eigen { 
+
+namespace internal {
+
+/** \internal
+  * Stores a sparse set of values as a list of values and a list of indices.
+  *
+  */
+template<typename _Scalar,typename _StorageIndex>
+class CompressedStorage
+{
+  public:
+
+    typedef _Scalar Scalar;
+    typedef _StorageIndex StorageIndex;
+
+  protected:
+
+    typedef typename NumTraits<Scalar>::Real RealScalar;
+
+  public:
+
+    CompressedStorage()
+      : m_values(0), m_indices(0), m_size(0), m_allocatedSize(0)
+    {}
+
+    explicit CompressedStorage(Index size)
+      : m_values(0), m_indices(0), m_size(0), m_allocatedSize(0)
+    {
+      resize(size);
+    }
+
+    CompressedStorage(const CompressedStorage& other)
+      : m_values(0), m_indices(0), m_size(0), m_allocatedSize(0)
+    {
+      *this = other;
+    }
+
+    CompressedStorage& operator=(const CompressedStorage& other)
+    {
+      resize(other.size());
+      if(other.size()>0)
+      {
+        internal::smart_copy(other.m_values,  other.m_values  + m_size, m_values);
+        internal::smart_copy(other.m_indices, other.m_indices + m_size, m_indices);
+      }
+      return *this;
+    }
+
+    void swap(CompressedStorage& other)
+    {
+      std::swap(m_values, other.m_values);
+      std::swap(m_indices, other.m_indices);
+      std::swap(m_size, other.m_size);
+      std::swap(m_allocatedSize, other.m_allocatedSize);
+    }
+
+    ~CompressedStorage()
+    {
+      delete[] m_values;
+      delete[] m_indices;
+    }
+
+    void reserve(Index size)
+    {
+      Index newAllocatedSize = m_size + size;
+      if (newAllocatedSize > m_allocatedSize)
+        reallocate(newAllocatedSize);
+    }
+
+    void squeeze()
+    {
+      if (m_allocatedSize>m_size)
+        reallocate(m_size);
+    }
+
+    void resize(Index size, double reserveSizeFactor = 0)
+    {
+      if (m_allocatedSize<size)
+      {
+        Index realloc_size = (std::min<Index>)(NumTraits<StorageIndex>::highest(),  size + Index(reserveSizeFactor*double(size)));
+        if(realloc_size<size)
+          internal::throw_std_bad_alloc();
+        reallocate(realloc_size);
+      }
+      m_size = size;
+    }
+
+    void append(const Scalar& v, Index i)
+    {
+      Index id = m_size;
+      resize(m_size+1, 1);
+      m_values[id] = v;
+      m_indices[id] = internal::convert_index<StorageIndex>(i);
+    }
+
+    inline Index size() const { return m_size; }
+    inline Index allocatedSize() const { return m_allocatedSize; }
+    inline void clear() { m_size = 0; }
+
+    const Scalar* valuePtr() const { return m_values; }
+    Scalar* valuePtr() { return m_values; }
+    const StorageIndex* indexPtr() const { return m_indices; }
+    StorageIndex* indexPtr() { return m_indices; }
+
+    inline Scalar& value(Index i) { eigen_internal_assert(m_values!=0); return m_values[i]; }
+    inline const Scalar& value(Index i) const { eigen_internal_assert(m_values!=0); return m_values[i]; }
+
+    inline StorageIndex& index(Index i) { eigen_internal_assert(m_indices!=0); return m_indices[i]; }
+    inline const StorageIndex& index(Index i) const { eigen_internal_assert(m_indices!=0); return m_indices[i]; }
+
+    /** \returns the largest \c k such that for all \c j in [0,k) index[\c j]\<\a key */
+    inline Index searchLowerIndex(Index key) const
+    {
+      return searchLowerIndex(0, m_size, key);
+    }
+
+    /** \returns the largest \c k in [start,end) such that for all \c j in [start,k) index[\c j]\<\a key */
+    inline Index searchLowerIndex(Index start, Index end, Index key) const
+    {
+      while(end>start)
+      {
+        Index mid = (end+start)>>1;
+        if (m_indices[mid]<key)
+          start = mid+1;
+        else
+          end = mid;
+      }
+      return start;
+    }
+
+    /** \returns the stored value at index \a key
+      * If the value does not exist, then the value \a defaultValue is returned without any insertion. */
+    inline Scalar at(Index key, const Scalar& defaultValue = Scalar(0)) const
+    {
+      if (m_size==0)
+        return defaultValue;
+      else if (key==m_indices[m_size-1])
+        return m_values[m_size-1];
+      // ^^  optimization: let's first check if it is the last coefficient
+      // (very common in high level algorithms)
+      const Index id = searchLowerIndex(0,m_size-1,key);
+      return ((id<m_size) && (m_indices[id]==key)) ? m_values[id] : defaultValue;
+    }
+
+    /** Like at(), but the search is performed in the range [start,end) */
+    inline Scalar atInRange(Index start, Index end, Index key, const Scalar &defaultValue = Scalar(0)) const
+    {
+      if (start>=end)
+        return defaultValue;
+      else if (end>start && key==m_indices[end-1])
+        return m_values[end-1];
+      // ^^  optimization: let's first check if it is the last coefficient
+      // (very common in high level algorithms)
+      const Index id = searchLowerIndex(start,end-1,key);
+      return ((id<end) && (m_indices[id]==key)) ? m_values[id] : defaultValue;
+    }
+
+    /** \returns a reference to the value at index \a key
+      * If the value does not exist, then the value \a defaultValue is inserted
+      * such that the keys are sorted. */
+    inline Scalar& atWithInsertion(Index key, const Scalar& defaultValue = Scalar(0))
+    {
+      Index id = searchLowerIndex(0,m_size,key);
+      if (id>=m_size || m_indices[id]!=key)
+      {
+        if (m_allocatedSize<m_size+1)
+        {
+          m_allocatedSize = 2*(m_size+1);
+          internal::scoped_array<Scalar> newValues(m_allocatedSize);
+          internal::scoped_array<StorageIndex> newIndices(m_allocatedSize);
+
+          // copy first chunk
+          internal::smart_copy(m_values,  m_values +id, newValues.ptr());
+          internal::smart_copy(m_indices, m_indices+id, newIndices.ptr());
+
+          // copy the rest
+          if(m_size>id)
+          {
+            internal::smart_copy(m_values +id,  m_values +m_size, newValues.ptr() +id+1);
+            internal::smart_copy(m_indices+id,  m_indices+m_size, newIndices.ptr()+id+1);
+          }
+          std::swap(m_values,newValues.ptr());
+          std::swap(m_indices,newIndices.ptr());
+        }
+        else if(m_size>id)
+        {
+          internal::smart_memmove(m_values +id, m_values +m_size, m_values +id+1);
+          internal::smart_memmove(m_indices+id, m_indices+m_size, m_indices+id+1);
+        }
+        m_size++;
+        m_indices[id] = internal::convert_index<StorageIndex>(key);
+        m_values[id] = defaultValue;
+      }
+      return m_values[id];
+    }
+
+    void prune(const Scalar& reference, const RealScalar& epsilon = NumTraits<RealScalar>::dummy_precision())
+    {
+      Index k = 0;
+      Index n = size();
+      for (Index i=0; i<n; ++i)
+      {
+        if (!internal::isMuchSmallerThan(value(i), reference, epsilon))
+        {
+          value(k) = value(i);
+          index(k) = index(i);
+          ++k;
+        }
+      }
+      resize(k,0);
+    }
+
+  protected:
+
+    inline void reallocate(Index size)
+    {
+      #ifdef EIGEN_SPARSE_COMPRESSED_STORAGE_REALLOCATE_PLUGIN
+        EIGEN_SPARSE_COMPRESSED_STORAGE_REALLOCATE_PLUGIN
+      #endif
+      eigen_internal_assert(size!=m_allocatedSize);
+      internal::scoped_array<Scalar> newValues(size);
+      internal::scoped_array<StorageIndex> newIndices(size);
+      Index copySize = (std::min)(size, m_size);
+      if (copySize>0) {
+        internal::smart_copy(m_values, m_values+copySize, newValues.ptr());
+        internal::smart_copy(m_indices, m_indices+copySize, newIndices.ptr());
+      }
+      std::swap(m_values,newValues.ptr());
+      std::swap(m_indices,newIndices.ptr());
+      m_allocatedSize = size;
+    }
+
+  protected:
+    Scalar* m_values;
+    StorageIndex* m_indices;
+    Index m_size;
+    Index m_allocatedSize;
+
+};
+
+} // end namespace internal
+
+} // end namespace Eigen
+
+#endif // EIGEN_COMPRESSED_STORAGE_H
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/SparseCore/SparseRef.h
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/SparseCore/SparseRef.h	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/SparseCore/SparseRef.h	(revision 3761)
@@ -0,0 +1,397 @@
+// This file is part of Eigen, a lightweight C++ template library
+// for linear algebra.
+//
+// Copyright (C) 2015 Gael Guennebaud <gael.guennebaud@inria.fr>
+//
+// This Source Code Form is subject to the terms of the Mozilla
+// Public License v. 2.0. If a copy of the MPL was not distributed
+// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
+
+#ifndef EIGEN_SPARSE_REF_H
+#define EIGEN_SPARSE_REF_H
+
+namespace Eigen {
+
+enum {
+  StandardCompressedFormat = 2 /**< used by Ref<SparseMatrix> to specify whether the input storage must be in standard compressed form */
+};
+  
+namespace internal {
+
+template<typename Derived> class SparseRefBase;
+
+template<typename MatScalar, int MatOptions, typename MatIndex, int _Options, typename _StrideType>
+struct traits<Ref<SparseMatrix<MatScalar,MatOptions,MatIndex>, _Options, _StrideType> >
+  : public traits<SparseMatrix<MatScalar,MatOptions,MatIndex> >
+{
+  typedef SparseMatrix<MatScalar,MatOptions,MatIndex> PlainObjectType;
+  enum {
+    Options = _Options,
+    Flags = traits<PlainObjectType>::Flags | CompressedAccessBit | NestByRefBit
+  };
+
+  template<typename Derived> struct match {
+    enum {
+      StorageOrderMatch = PlainObjectType::IsVectorAtCompileTime || Derived::IsVectorAtCompileTime || ((PlainObjectType::Flags&RowMajorBit)==(Derived::Flags&RowMajorBit)),
+      MatchAtCompileTime = (Derived::Flags&CompressedAccessBit) && StorageOrderMatch
+    };
+    typedef typename internal::conditional<MatchAtCompileTime,internal::true_type,internal::false_type>::type type;
+  };
+  
+};
+
+template<typename MatScalar, int MatOptions, typename MatIndex, int _Options, typename _StrideType>
+struct traits<Ref<const SparseMatrix<MatScalar,MatOptions,MatIndex>, _Options, _StrideType> >
+  : public traits<Ref<SparseMatrix<MatScalar,MatOptions,MatIndex>, _Options, _StrideType> >
+{
+  enum {
+    Flags = (traits<SparseMatrix<MatScalar,MatOptions,MatIndex> >::Flags | CompressedAccessBit | NestByRefBit) & ~LvalueBit
+  };
+};
+
+template<typename MatScalar, int MatOptions, typename MatIndex, int _Options, typename _StrideType>
+struct traits<Ref<SparseVector<MatScalar,MatOptions,MatIndex>, _Options, _StrideType> >
+  : public traits<SparseVector<MatScalar,MatOptions,MatIndex> >
+{
+  typedef SparseVector<MatScalar,MatOptions,MatIndex> PlainObjectType;
+  enum {
+    Options = _Options,
+    Flags = traits<PlainObjectType>::Flags | CompressedAccessBit | NestByRefBit
+  };
+
+  template<typename Derived> struct match {
+    enum {
+      MatchAtCompileTime = (Derived::Flags&CompressedAccessBit) && Derived::IsVectorAtCompileTime
+    };
+    typedef typename internal::conditional<MatchAtCompileTime,internal::true_type,internal::false_type>::type type;
+  };
+
+};
+
+template<typename MatScalar, int MatOptions, typename MatIndex, int _Options, typename _StrideType>
+struct traits<Ref<const SparseVector<MatScalar,MatOptions,MatIndex>, _Options, _StrideType> >
+  : public traits<Ref<SparseVector<MatScalar,MatOptions,MatIndex>, _Options, _StrideType> >
+{
+  enum {
+    Flags = (traits<SparseVector<MatScalar,MatOptions,MatIndex> >::Flags | CompressedAccessBit | NestByRefBit) & ~LvalueBit
+  };
+};
+
+template<typename Derived>
+struct traits<SparseRefBase<Derived> > : public traits<Derived> {};
+
+template<typename Derived> class SparseRefBase
+  : public SparseMapBase<Derived>
+{
+public:
+
+  typedef SparseMapBase<Derived> Base;
+  EIGEN_SPARSE_PUBLIC_INTERFACE(SparseRefBase)
+
+  SparseRefBase()
+    : Base(RowsAtCompileTime==Dynamic?0:RowsAtCompileTime,ColsAtCompileTime==Dynamic?0:ColsAtCompileTime, 0, 0, 0, 0, 0)
+  {}
+  
+protected:
+
+  template<typename Expression>
+  void construct(Expression& expr)
+  {
+    if(expr.outerIndexPtr()==0)
+      ::new (static_cast<Base*>(this)) Base(expr.size(), expr.nonZeros(), expr.innerIndexPtr(), expr.valuePtr());
+    else
+      ::new (static_cast<Base*>(this)) Base(expr.rows(), expr.cols(), expr.nonZeros(), expr.outerIndexPtr(), expr.innerIndexPtr(), expr.valuePtr(), expr.innerNonZeroPtr());
+  }
+};
+
+} // namespace internal
+
+
+/** 
+  * \ingroup SparseCore_Module
+  *
+  * \brief A sparse matrix expression referencing an existing sparse expression
+  *
+  * \tparam SparseMatrixType the equivalent sparse matrix type of the referenced data, it must be a template instance of class SparseMatrix.
+  * \tparam Options specifies whether the a standard compressed format is required \c Options is  \c #StandardCompressedFormat, or \c 0.
+  *                The default is \c 0.
+  *
+  * \sa class Ref
+  */
+#ifndef EIGEN_PARSED_BY_DOXYGEN
+template<typename MatScalar, int MatOptions, typename MatIndex, int Options, typename StrideType>
+class Ref<SparseMatrix<MatScalar,MatOptions,MatIndex>, Options, StrideType >
+  : public internal::SparseRefBase<Ref<SparseMatrix<MatScalar,MatOptions,MatIndex>, Options, StrideType > >
+#else
+template<typename SparseMatrixType, int Options>
+class Ref<SparseMatrixType, Options>
+  : public SparseMapBase<Derived,WriteAccessors> // yes, that's weird to use Derived here, but that works!
+#endif
+{
+    typedef SparseMatrix<MatScalar,MatOptions,MatIndex> PlainObjectType;
+    typedef internal::traits<Ref> Traits;
+    template<int OtherOptions>
+    inline Ref(const SparseMatrix<MatScalar,OtherOptions,MatIndex>& expr);
+    template<int OtherOptions>
+    inline Ref(const MappedSparseMatrix<MatScalar,OtherOptions,MatIndex>& expr);
+  public:
+
+    typedef internal::SparseRefBase<Ref> Base;
+    EIGEN_SPARSE_PUBLIC_INTERFACE(Ref)
+
+
+    #ifndef EIGEN_PARSED_BY_DOXYGEN
+    template<int OtherOptions>
+    inline Ref(SparseMatrix<MatScalar,OtherOptions,MatIndex>& expr)
+    {
+      EIGEN_STATIC_ASSERT(bool(Traits::template match<SparseMatrix<MatScalar,OtherOptions,MatIndex> >::MatchAtCompileTime), STORAGE_LAYOUT_DOES_NOT_MATCH);
+      eigen_assert( ((Options & int(StandardCompressedFormat))==0) || (expr.isCompressed()) );
+      Base::construct(expr.derived());
+    }
+    
+    template<int OtherOptions>
+    inline Ref(MappedSparseMatrix<MatScalar,OtherOptions,MatIndex>& expr)
+    {
+      EIGEN_STATIC_ASSERT(bool(Traits::template match<SparseMatrix<MatScalar,OtherOptions,MatIndex> >::MatchAtCompileTime), STORAGE_LAYOUT_DOES_NOT_MATCH);
+      eigen_assert( ((Options & int(StandardCompressedFormat))==0) || (expr.isCompressed()) );
+      Base::construct(expr.derived());
+    }
+    
+    template<typename Derived>
+    inline Ref(const SparseCompressedBase<Derived>& expr)
+    #else
+    /** Implicit constructor from any sparse expression (2D matrix or 1D vector) */
+    template<typename Derived>
+    inline Ref(SparseCompressedBase<Derived>& expr)
+    #endif
+    {
+      EIGEN_STATIC_ASSERT(bool(internal::is_lvalue<Derived>::value), THIS_EXPRESSION_IS_NOT_A_LVALUE__IT_IS_READ_ONLY);
+      EIGEN_STATIC_ASSERT(bool(Traits::template match<Derived>::MatchAtCompileTime), STORAGE_LAYOUT_DOES_NOT_MATCH);
+      eigen_assert( ((Options & int(StandardCompressedFormat))==0) || (expr.isCompressed()) );
+      Base::construct(expr.const_cast_derived());
+    }
+};
+
+// this is the const ref version
+template<typename MatScalar, int MatOptions, typename MatIndex, int Options, typename StrideType>
+class Ref<const SparseMatrix<MatScalar,MatOptions,MatIndex>, Options, StrideType>
+  : public internal::SparseRefBase<Ref<const SparseMatrix<MatScalar,MatOptions,MatIndex>, Options, StrideType> >
+{
+    typedef SparseMatrix<MatScalar,MatOptions,MatIndex> TPlainObjectType;
+    typedef internal::traits<Ref> Traits;
+  public:
+
+    typedef internal::SparseRefBase<Ref> Base;
+    EIGEN_SPARSE_PUBLIC_INTERFACE(Ref)
+
+    template<typename Derived>
+    inline Ref(const SparseMatrixBase<Derived>& expr) : m_hasCopy(false)
+    {
+      construct(expr.derived(), typename Traits::template match<Derived>::type());
+    }
+
+    inline Ref(const Ref& other) : Base(other), m_hasCopy(false) {
+      // copy constructor shall not copy the m_object, to avoid unnecessary malloc and copy
+    }
+
+    template<typename OtherRef>
+    inline Ref(const RefBase<OtherRef>& other) : m_hasCopy(false) {
+      construct(other.derived(), typename Traits::template match<OtherRef>::type());
+    }
+
+    ~Ref() {
+      if(m_hasCopy) {
+        TPlainObjectType* obj = reinterpret_cast<TPlainObjectType*>(m_object_bytes);
+        obj->~TPlainObjectType();
+      }
+    }
+
+  protected:
+
+    template<typename Expression>
+    void construct(const Expression& expr,internal::true_type)
+    {
+      if((Options & int(StandardCompressedFormat)) && (!expr.isCompressed()))
+      {
+        TPlainObjectType* obj = reinterpret_cast<TPlainObjectType*>(m_object_bytes);
+        ::new (obj) TPlainObjectType(expr);
+        m_hasCopy = true;
+        Base::construct(*obj);
+      }
+      else
+      {
+        Base::construct(expr);
+      }
+    }
+
+    template<typename Expression>
+    void construct(const Expression& expr, internal::false_type)
+    {
+      TPlainObjectType* obj = reinterpret_cast<TPlainObjectType*>(m_object_bytes);
+      ::new (obj) TPlainObjectType(expr);
+      m_hasCopy = true;
+      Base::construct(*obj);
+    }
+
+  protected:
+    char m_object_bytes[sizeof(TPlainObjectType)];
+    bool m_hasCopy;
+};
+
+
+
+/**
+  * \ingroup SparseCore_Module
+  *
+  * \brief A sparse vector expression referencing an existing sparse vector expression
+  *
+  * \tparam SparseVectorType the equivalent sparse vector type of the referenced data, it must be a template instance of class SparseVector.
+  *
+  * \sa class Ref
+  */
+#ifndef EIGEN_PARSED_BY_DOXYGEN
+template<typename MatScalar, int MatOptions, typename MatIndex, int Options, typename StrideType>
+class Ref<SparseVector<MatScalar,MatOptions,MatIndex>, Options, StrideType >
+  : public internal::SparseRefBase<Ref<SparseVector<MatScalar,MatOptions,MatIndex>, Options, StrideType > >
+#else
+template<typename SparseVectorType>
+class Ref<SparseVectorType>
+  : public SparseMapBase<Derived,WriteAccessors>
+#endif
+{
+    typedef SparseVector<MatScalar,MatOptions,MatIndex> PlainObjectType;
+    typedef internal::traits<Ref> Traits;
+    template<int OtherOptions>
+    inline Ref(const SparseVector<MatScalar,OtherOptions,MatIndex>& expr);
+  public:
+
+    typedef internal::SparseRefBase<Ref> Base;
+    EIGEN_SPARSE_PUBLIC_INTERFACE(Ref)
+
+    #ifndef EIGEN_PARSED_BY_DOXYGEN
+    template<int OtherOptions>
+    inline Ref(SparseVector<MatScalar,OtherOptions,MatIndex>& expr)
+    {
+      EIGEN_STATIC_ASSERT(bool(Traits::template match<SparseVector<MatScalar,OtherOptions,MatIndex> >::MatchAtCompileTime), STORAGE_LAYOUT_DOES_NOT_MATCH);
+      Base::construct(expr.derived());
+    }
+
+    template<typename Derived>
+    inline Ref(const SparseCompressedBase<Derived>& expr)
+    #else
+    /** Implicit constructor from any 1D sparse vector expression */
+    template<typename Derived>
+    inline Ref(SparseCompressedBase<Derived>& expr)
+    #endif
+    {
+      EIGEN_STATIC_ASSERT(bool(internal::is_lvalue<Derived>::value), THIS_EXPRESSION_IS_NOT_A_LVALUE__IT_IS_READ_ONLY);
+      EIGEN_STATIC_ASSERT(bool(Traits::template match<Derived>::MatchAtCompileTime), STORAGE_LAYOUT_DOES_NOT_MATCH);
+      Base::construct(expr.const_cast_derived());
+    }
+};
+
+// this is the const ref version
+template<typename MatScalar, int MatOptions, typename MatIndex, int Options, typename StrideType>
+class Ref<const SparseVector<MatScalar,MatOptions,MatIndex>, Options, StrideType>
+  : public internal::SparseRefBase<Ref<const SparseVector<MatScalar,MatOptions,MatIndex>, Options, StrideType> >
+{
+    typedef SparseVector<MatScalar,MatOptions,MatIndex> TPlainObjectType;
+    typedef internal::traits<Ref> Traits;
+  public:
+
+    typedef internal::SparseRefBase<Ref> Base;
+    EIGEN_SPARSE_PUBLIC_INTERFACE(Ref)
+
+    template<typename Derived>
+    inline Ref(const SparseMatrixBase<Derived>& expr) : m_hasCopy(false)
+    {
+      construct(expr.derived(), typename Traits::template match<Derived>::type());
+    }
+
+    inline Ref(const Ref& other) : Base(other), m_hasCopy(false) {
+      // copy constructor shall not copy the m_object, to avoid unnecessary malloc and copy
+    }
+
+    template<typename OtherRef>
+    inline Ref(const RefBase<OtherRef>& other) : m_hasCopy(false) {
+      construct(other.derived(), typename Traits::template match<OtherRef>::type());
+    }
+
+    ~Ref() {
+      if(m_hasCopy) {
+        TPlainObjectType* obj = reinterpret_cast<TPlainObjectType*>(m_object_bytes);
+        obj->~TPlainObjectType();
+      }
+    }
+
+  protected:
+
+    template<typename Expression>
+    void construct(const Expression& expr,internal::true_type)
+    {
+      Base::construct(expr);
+    }
+
+    template<typename Expression>
+    void construct(const Expression& expr, internal::false_type)
+    {
+      TPlainObjectType* obj = reinterpret_cast<TPlainObjectType*>(m_object_bytes);
+      ::new (obj) TPlainObjectType(expr);
+      m_hasCopy = true;
+      Base::construct(*obj);
+    }
+
+  protected:
+    char m_object_bytes[sizeof(TPlainObjectType)];
+    bool m_hasCopy;
+};
+
+namespace internal {
+
+// FIXME shall we introduce a general evaluatior_ref that we can specialize for any sparse object once, and thus remove this copy-pasta thing...
+
+template<typename MatScalar, int MatOptions, typename MatIndex, int Options, typename StrideType>
+struct evaluator<Ref<SparseMatrix<MatScalar,MatOptions,MatIndex>, Options, StrideType> >
+  : evaluator<SparseCompressedBase<Ref<SparseMatrix<MatScalar,MatOptions,MatIndex>, Options, StrideType> > >
+{
+  typedef evaluator<SparseCompressedBase<Ref<SparseMatrix<MatScalar,MatOptions,MatIndex>, Options, StrideType> > > Base;
+  typedef Ref<SparseMatrix<MatScalar,MatOptions,MatIndex>, Options, StrideType> XprType;  
+  evaluator() : Base() {}
+  explicit evaluator(const XprType &mat) : Base(mat) {}
+};
+
+template<typename MatScalar, int MatOptions, typename MatIndex, int Options, typename StrideType>
+struct evaluator<Ref<const SparseMatrix<MatScalar,MatOptions,MatIndex>, Options, StrideType> >
+  : evaluator<SparseCompressedBase<Ref<const SparseMatrix<MatScalar,MatOptions,MatIndex>, Options, StrideType> > >
+{
+  typedef evaluator<SparseCompressedBase<Ref<const SparseMatrix<MatScalar,MatOptions,MatIndex>, Options, StrideType> > > Base;
+  typedef Ref<const SparseMatrix<MatScalar,MatOptions,MatIndex>, Options, StrideType> XprType;  
+  evaluator() : Base() {}
+  explicit evaluator(const XprType &mat) : Base(mat) {}
+};
+
+template<typename MatScalar, int MatOptions, typename MatIndex, int Options, typename StrideType>
+struct evaluator<Ref<SparseVector<MatScalar,MatOptions,MatIndex>, Options, StrideType> >
+  : evaluator<SparseCompressedBase<Ref<SparseVector<MatScalar,MatOptions,MatIndex>, Options, StrideType> > >
+{
+  typedef evaluator<SparseCompressedBase<Ref<SparseVector<MatScalar,MatOptions,MatIndex>, Options, StrideType> > > Base;
+  typedef Ref<SparseVector<MatScalar,MatOptions,MatIndex>, Options, StrideType> XprType;
+  evaluator() : Base() {}
+  explicit evaluator(const XprType &mat) : Base(mat) {}
+};
+
+template<typename MatScalar, int MatOptions, typename MatIndex, int Options, typename StrideType>
+struct evaluator<Ref<const SparseVector<MatScalar,MatOptions,MatIndex>, Options, StrideType> >
+  : evaluator<SparseCompressedBase<Ref<const SparseVector<MatScalar,MatOptions,MatIndex>, Options, StrideType> > >
+{
+  typedef evaluator<SparseCompressedBase<Ref<const SparseVector<MatScalar,MatOptions,MatIndex>, Options, StrideType> > > Base;
+  typedef Ref<const SparseVector<MatScalar,MatOptions,MatIndex>, Options, StrideType> XprType;
+  evaluator() : Base() {}
+  explicit evaluator(const XprType &mat) : Base(mat) {}
+};
+
+}
+
+} // end namespace Eigen
+
+#endif // EIGEN_SPARSE_REF_H
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h	(revision 3761)
@@ -0,0 +1,305 @@
+// This file is part of Eigen, a lightweight C++ template library
+// for linear algebra.
+//
+// Copyright (C) 2015 Gael Guennebaud <gael.guennebaud@inria.fr>
+//
+// This Source Code Form is subject to the terms of the Mozilla
+// Public License v. 2.0. If a copy of the MPL was not distributed
+// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
+
+#ifndef EIGEN_SPARSE_MAP_H
+#define EIGEN_SPARSE_MAP_H
+
+namespace Eigen {
+
+namespace internal {
+
+template<typename MatScalar, int MatOptions, typename MatIndex, int Options, typename StrideType>
+struct traits<Map<SparseMatrix<MatScalar,MatOptions,MatIndex>, Options, StrideType> >
+  : public traits<SparseMatrix<MatScalar,MatOptions,MatIndex> >
+{
+  typedef SparseMatrix<MatScalar,MatOptions,MatIndex> PlainObjectType;
+  typedef traits<PlainObjectType> TraitsBase;
+  enum {
+    Flags = TraitsBase::Flags & (~NestByRefBit)
+  };
+};
+
+template<typename MatScalar, int MatOptions, typename MatIndex, int Options, typename StrideType>
+struct traits<Map<const SparseMatrix<MatScalar,MatOptions,MatIndex>, Options, StrideType> >
+  : public traits<SparseMatrix<MatScalar,MatOptions,MatIndex> >
+{
+  typedef SparseMatrix<MatScalar,MatOptions,MatIndex> PlainObjectType;
+  typedef traits<PlainObjectType> TraitsBase;
+  enum {
+    Flags = TraitsBase::Flags & (~ (NestByRefBit | LvalueBit))
+  };
+};
+
+} // end namespace internal
+
+template<typename Derived,
+         int Level = internal::accessors_level<Derived>::has_write_access ? WriteAccessors : ReadOnlyAccessors
+> class SparseMapBase;
+
+/** \ingroup SparseCore_Module
+  * class SparseMapBase
+  * \brief Common base class for Map and Ref instance of sparse matrix and vector.
+  */
+template<typename Derived>
+class SparseMapBase<Derived,ReadOnlyAccessors>
+  : public SparseCompressedBase<Derived>
+{
+  public:
+    typedef SparseCompressedBase<Derived> Base;
+    typedef typename Base::Scalar Scalar;
+    typedef typename Base::StorageIndex StorageIndex;
+    enum { IsRowMajor = Base::IsRowMajor };
+    using Base::operator=;
+  protected:
+    
+    typedef typename internal::conditional<
+                         bool(internal::is_lvalue<Derived>::value),
+                         Scalar *, const Scalar *>::type ScalarPointer;
+    typedef typename internal::conditional<
+                         bool(internal::is_lvalue<Derived>::value),
+                         StorageIndex *, const StorageIndex *>::type IndexPointer;
+
+    Index   m_outerSize;
+    Index   m_innerSize;
+    Array<StorageIndex,2,1>  m_zero_nnz;
+    IndexPointer  m_outerIndex;
+    IndexPointer  m_innerIndices;
+    ScalarPointer m_values;
+    IndexPointer  m_innerNonZeros;
+
+  public:
+
+    /** \copydoc SparseMatrixBase::rows() */
+    inline Index rows() const { return IsRowMajor ? m_outerSize : m_innerSize; }
+    /** \copydoc SparseMatrixBase::cols() */
+    inline Index cols() const { return IsRowMajor ? m_innerSize : m_outerSize; }
+    /** \copydoc SparseMatrixBase::innerSize() */
+    inline Index innerSize() const { return m_innerSize; }
+    /** \copydoc SparseMatrixBase::outerSize() */
+    inline Index outerSize() const { return m_outerSize; }
+    /** \copydoc SparseCompressedBase::nonZeros */
+    inline Index nonZeros() const { return m_zero_nnz[1]; }
+    
+    /** \copydoc SparseCompressedBase::isCompressed */
+    bool isCompressed() const { return m_innerNonZeros==0; }
+
+    //----------------------------------------
+    // direct access interface
+    /** \copydoc SparseMatrix::valuePtr */
+    inline const Scalar* valuePtr() const { return m_values; }
+    /** \copydoc SparseMatrix::innerIndexPtr */
+    inline const StorageIndex* innerIndexPtr() const { return m_innerIndices; }
+    /** \copydoc SparseMatrix::outerIndexPtr */
+    inline const StorageIndex* outerIndexPtr() const { return m_outerIndex; }
+    /** \copydoc SparseMatrix::innerNonZeroPtr */
+    inline const StorageIndex* innerNonZeroPtr() const { return m_innerNonZeros; }
+    //----------------------------------------
+
+    /** \copydoc SparseMatrix::coeff */
+    inline Scalar coeff(Index row, Index col) const
+    {
+      const Index outer = IsRowMajor ? row : col;
+      const Index inner = IsRowMajor ? col : row;
+
+      Index start = m_outerIndex[outer];
+      Index end = isCompressed() ? m_outerIndex[outer+1] : start + m_innerNonZeros[outer];
+      if (start==end)
+        return Scalar(0);
+      else if (end>0 && inner==m_innerIndices[end-1])
+        return m_values[end-1];
+      // ^^  optimization: let's first check if it is the last coefficient
+      // (very common in high level algorithms)
+
+      const StorageIndex* r = std::lower_bound(&m_innerIndices[start],&m_innerIndices[end-1],inner);
+      const Index id = r-&m_innerIndices[0];
+      return ((*r==inner) && (id<end)) ? m_values[id] : Scalar(0);
+    }
+
+    inline SparseMapBase(Index rows, Index cols, Index nnz, IndexPointer outerIndexPtr, IndexPointer innerIndexPtr,
+                              ScalarPointer valuePtr, IndexPointer innerNonZerosPtr = 0)
+      : m_outerSize(IsRowMajor?rows:cols), m_innerSize(IsRowMajor?cols:rows), m_zero_nnz(0,internal::convert_index<StorageIndex>(nnz)), m_outerIndex(outerIndexPtr),
+        m_innerIndices(innerIndexPtr), m_values(valuePtr), m_innerNonZeros(innerNonZerosPtr)
+    {}
+
+    // for vectors
+    inline SparseMapBase(Index size, Index nnz, IndexPointer innerIndexPtr, ScalarPointer valuePtr)
+      : m_outerSize(1), m_innerSize(size), m_zero_nnz(0,internal::convert_index<StorageIndex>(nnz)), m_outerIndex(m_zero_nnz.data()),
+        m_innerIndices(innerIndexPtr), m_values(valuePtr), m_innerNonZeros(0)
+    {}
+
+    /** Empty destructor */
+    inline ~SparseMapBase() {}
+
+  protected:
+    inline SparseMapBase() {}
+};
+
+/** \ingroup SparseCore_Module
+  * class SparseMapBase
+  * \brief Common base class for writable Map and Ref instance of sparse matrix and vector.
+  */
+template<typename Derived>
+class SparseMapBase<Derived,WriteAccessors>
+  : public SparseMapBase<Derived,ReadOnlyAccessors>
+{
+    typedef MapBase<Derived, ReadOnlyAccessors> ReadOnlyMapBase;
+    
+  public:
+    typedef SparseMapBase<Derived, ReadOnlyAccessors> Base;
+    typedef typename Base::Scalar Scalar;
+    typedef typename Base::StorageIndex StorageIndex;
+    enum { IsRowMajor = Base::IsRowMajor };
+    
+    using Base::operator=;
+
+  public:
+    
+    //----------------------------------------
+    // direct access interface
+    using Base::valuePtr;
+    using Base::innerIndexPtr;
+    using Base::outerIndexPtr;
+    using Base::innerNonZeroPtr;
+    /** \copydoc SparseMatrix::valuePtr */
+    inline Scalar* valuePtr()              { return Base::m_values; }
+    /** \copydoc SparseMatrix::innerIndexPtr */
+    inline StorageIndex* innerIndexPtr()   { return Base::m_innerIndices; }
+    /** \copydoc SparseMatrix::outerIndexPtr */
+    inline StorageIndex* outerIndexPtr()   { return Base::m_outerIndex; }
+    /** \copydoc SparseMatrix::innerNonZeroPtr */
+    inline StorageIndex* innerNonZeroPtr() { return Base::m_innerNonZeros; }
+    //----------------------------------------
+
+    /** \copydoc SparseMatrix::coeffRef */
+    inline Scalar& coeffRef(Index row, Index col)
+    {
+      const Index outer = IsRowMajor ? row : col;
+      const Index inner = IsRowMajor ? col : row;
+
+      Index start = Base::m_outerIndex[outer];
+      Index end = Base::isCompressed() ? Base::m_outerIndex[outer+1] : start + Base::m_innerNonZeros[outer];
+      eigen_assert(end>=start && "you probably called coeffRef on a non finalized matrix");
+      eigen_assert(end>start && "coeffRef cannot be called on a zero coefficient");
+      StorageIndex* r = std::lower_bound(&Base::m_innerIndices[start],&Base::m_innerIndices[end],inner);
+      const Index id = r - &Base::m_innerIndices[0];
+      eigen_assert((*r==inner) && (id<end) && "coeffRef cannot be called on a zero coefficient");
+      return const_cast<Scalar*>(Base::m_values)[id];
+    }
+    
+    inline SparseMapBase(Index rows, Index cols, Index nnz, StorageIndex* outerIndexPtr, StorageIndex* innerIndexPtr,
+                         Scalar* valuePtr, StorageIndex* innerNonZerosPtr = 0)
+      : Base(rows, cols, nnz, outerIndexPtr, innerIndexPtr, valuePtr, innerNonZerosPtr)
+    {}
+
+    // for vectors
+    inline SparseMapBase(Index size, Index nnz, StorageIndex* innerIndexPtr, Scalar* valuePtr)
+      : Base(size, nnz, innerIndexPtr, valuePtr)
+    {}
+
+    /** Empty destructor */
+    inline ~SparseMapBase() {}
+
+  protected:
+    inline SparseMapBase() {}
+};
+
+/** \ingroup SparseCore_Module
+  *
+  * \brief Specialization of class Map for SparseMatrix-like storage.
+  *
+  * \tparam SparseMatrixType the equivalent sparse matrix type of the referenced data, it must be a template instance of class SparseMatrix.
+  *
+  * \sa class Map, class SparseMatrix, class Ref<SparseMatrixType,Options>
+  */
+#ifndef EIGEN_PARSED_BY_DOXYGEN
+template<typename MatScalar, int MatOptions, typename MatIndex, int Options, typename StrideType>
+class Map<SparseMatrix<MatScalar,MatOptions,MatIndex>, Options, StrideType>
+  : public SparseMapBase<Map<SparseMatrix<MatScalar,MatOptions,MatIndex>, Options, StrideType> >
+#else
+template<typename SparseMatrixType>
+class Map<SparseMatrixType>
+  : public SparseMapBase<Derived,WriteAccessors>
+#endif
+{
+  public:
+    typedef SparseMapBase<Map> Base;
+    EIGEN_SPARSE_PUBLIC_INTERFACE(Map)
+    enum { IsRowMajor = Base::IsRowMajor };
+
+  public:
+
+    /** Constructs a read-write Map to a sparse matrix of size \a rows x \a cols, containing \a nnz non-zero coefficients,
+      * stored as a sparse format as defined by the pointers \a outerIndexPtr, \a innerIndexPtr, and \a valuePtr.
+      * If the optional parameter \a innerNonZerosPtr is the null pointer, then a standard compressed format is assumed.
+      *
+      * This constructor is available only if \c SparseMatrixType is non-const.
+      *
+      * More details on the expected storage schemes are given in the \ref TutorialSparse "manual pages".
+      */
+    inline Map(Index rows, Index cols, Index nnz, StorageIndex* outerIndexPtr,
+               StorageIndex* innerIndexPtr, Scalar* valuePtr, StorageIndex* innerNonZerosPtr = 0)
+      : Base(rows, cols, nnz, outerIndexPtr, innerIndexPtr, valuePtr, innerNonZerosPtr)
+    {}
+#ifndef EIGEN_PARSED_BY_DOXYGEN
+    /** Empty destructor */
+    inline ~Map() {}
+};
+
+template<typename MatScalar, int MatOptions, typename MatIndex, int Options, typename StrideType>
+class Map<const SparseMatrix<MatScalar,MatOptions,MatIndex>, Options, StrideType>
+  : public SparseMapBase<Map<const SparseMatrix<MatScalar,MatOptions,MatIndex>, Options, StrideType> >
+{
+  public:
+    typedef SparseMapBase<Map> Base;
+    EIGEN_SPARSE_PUBLIC_INTERFACE(Map)
+    enum { IsRowMajor = Base::IsRowMajor };
+
+  public:
+#endif
+    /** This is the const version of the above constructor.
+      *
+      * This constructor is available only if \c SparseMatrixType is const, e.g.:
+      * \code Map<const SparseMatrix<double> >  \endcode
+      */
+    inline Map(Index rows, Index cols, Index nnz, const StorageIndex* outerIndexPtr,
+               const StorageIndex* innerIndexPtr, const Scalar* valuePtr, const StorageIndex* innerNonZerosPtr = 0)
+      : Base(rows, cols, nnz, outerIndexPtr, innerIndexPtr, valuePtr, innerNonZerosPtr)
+    {}
+
+    /** Empty destructor */
+    inline ~Map() {}
+};
+
+namespace internal {
+
+template<typename MatScalar, int MatOptions, typename MatIndex, int Options, typename StrideType>
+struct evaluator<Map<SparseMatrix<MatScalar,MatOptions,MatIndex>, Options, StrideType> >
+  : evaluator<SparseCompressedBase<Map<SparseMatrix<MatScalar,MatOptions,MatIndex>, Options, StrideType> > >
+{
+  typedef evaluator<SparseCompressedBase<Map<SparseMatrix<MatScalar,MatOptions,MatIndex>, Options, StrideType> > > Base;
+  typedef Map<SparseMatrix<MatScalar,MatOptions,MatIndex>, Options, StrideType> XprType;  
+  evaluator() : Base() {}
+  explicit evaluator(const XprType &mat) : Base(mat) {}
+};
+
+template<typename MatScalar, int MatOptions, typename MatIndex, int Options, typename StrideType>
+struct evaluator<Map<const SparseMatrix<MatScalar,MatOptions,MatIndex>, Options, StrideType> >
+  : evaluator<SparseCompressedBase<Map<const SparseMatrix<MatScalar,MatOptions,MatIndex>, Options, StrideType> > >
+{
+  typedef evaluator<SparseCompressedBase<Map<const SparseMatrix<MatScalar,MatOptions,MatIndex>, Options, StrideType> > > Base;
+  typedef Map<const SparseMatrix<MatScalar,MatOptions,MatIndex>, Options, StrideType> XprType;  
+  evaluator() : Base() {}
+  explicit evaluator(const XprType &mat) : Base(mat) {}
+};
+
+}
+
+} // end namespace Eigen
+
+#endif // EIGEN_SPARSE_MAP_H
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/SparseCore/AmbiVector.h
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/SparseCore/AmbiVector.h	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/SparseCore/AmbiVector.h	(revision 3761)
@@ -0,0 +1,378 @@
+// This file is part of Eigen, a lightweight C++ template library
+// for linear algebra.
+//
+// Copyright (C) 2008 Gael Guennebaud <gael.guennebaud@inria.fr>
+//
+// This Source Code Form is subject to the terms of the Mozilla
+// Public License v. 2.0. If a copy of the MPL was not distributed
+// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
+
+#ifndef EIGEN_AMBIVECTOR_H
+#define EIGEN_AMBIVECTOR_H
+
+namespace Eigen { 
+
+namespace internal {
+
+/** \internal
+  * Hybrid sparse/dense vector class designed for intensive read-write operations.
+  *
+  * See BasicSparseLLT and SparseProduct for usage examples.
+  */
+template<typename _Scalar, typename _StorageIndex>
+class AmbiVector
+{
+  public:
+    typedef _Scalar Scalar;
+    typedef _StorageIndex StorageIndex;
+    typedef typename NumTraits<Scalar>::Real RealScalar;
+
+    explicit AmbiVector(Index size)
+      : m_buffer(0), m_zero(0), m_size(0), m_end(0), m_allocatedSize(0), m_allocatedElements(0), m_mode(-1)
+    {
+      resize(size);
+    }
+
+    void init(double estimatedDensity);
+    void init(int mode);
+
+    Index nonZeros() const;
+
+    /** Specifies a sub-vector to work on */
+    void setBounds(Index start, Index end) { m_start = convert_index(start); m_end = convert_index(end); }
+
+    void setZero();
+
+    void restart();
+    Scalar& coeffRef(Index i);
+    Scalar& coeff(Index i);
+
+    class Iterator;
+
+    ~AmbiVector() { delete[] m_buffer; }
+
+    void resize(Index size)
+    {
+      if (m_allocatedSize < size)
+        reallocate(size);
+      m_size = convert_index(size);
+    }
+
+    StorageIndex size() const { return m_size; }
+
+  protected:
+    StorageIndex convert_index(Index idx)
+    {
+      return internal::convert_index<StorageIndex>(idx);
+    }
+
+    void reallocate(Index size)
+    {
+      // if the size of the matrix is not too large, let's allocate a bit more than needed such
+      // that we can handle dense vector even in sparse mode.
+      delete[] m_buffer;
+      if (size<1000)
+      {
+        Index allocSize = (size * sizeof(ListEl) + sizeof(Scalar) - 1)/sizeof(Scalar);
+        m_allocatedElements = convert_index((allocSize*sizeof(Scalar))/sizeof(ListEl));
+        m_buffer = new Scalar[allocSize];
+      }
+      else
+      {
+        m_allocatedElements = convert_index((size*sizeof(Scalar))/sizeof(ListEl));
+        m_buffer = new Scalar[size];
+      }
+      m_size = convert_index(size);
+      m_start = 0;
+      m_end = m_size;
+    }
+
+    void reallocateSparse()
+    {
+      Index copyElements = m_allocatedElements;
+      m_allocatedElements = (std::min)(StorageIndex(m_allocatedElements*1.5),m_size);
+      Index allocSize = m_allocatedElements * sizeof(ListEl);
+      allocSize = (allocSize + sizeof(Scalar) - 1)/sizeof(Scalar);
+      Scalar* newBuffer = new Scalar[allocSize];
+      std::memcpy(newBuffer,  m_buffer,  copyElements * sizeof(ListEl));
+      delete[] m_buffer;
+      m_buffer = newBuffer;
+    }
+
+  protected:
+    // element type of the linked list
+    struct ListEl
+    {
+      StorageIndex next;
+      StorageIndex index;
+      Scalar value;
+    };
+
+    // used to store data in both mode
+    Scalar* m_buffer;
+    Scalar m_zero;
+    StorageIndex m_size;
+    StorageIndex m_start;
+    StorageIndex m_end;
+    StorageIndex m_allocatedSize;
+    StorageIndex m_allocatedElements;
+    StorageIndex m_mode;
+
+    // linked list mode
+    StorageIndex m_llStart;
+    StorageIndex m_llCurrent;
+    StorageIndex m_llSize;
+};
+
+/** \returns the number of non zeros in the current sub vector */
+template<typename _Scalar,typename _StorageIndex>
+Index AmbiVector<_Scalar,_StorageIndex>::nonZeros() const
+{
+  if (m_mode==IsSparse)
+    return m_llSize;
+  else
+    return m_end - m_start;
+}
+
+template<typename _Scalar,typename _StorageIndex>
+void AmbiVector<_Scalar,_StorageIndex>::init(double estimatedDensity)
+{
+  if (estimatedDensity>0.1)
+    init(IsDense);
+  else
+    init(IsSparse);
+}
+
+template<typename _Scalar,typename _StorageIndex>
+void AmbiVector<_Scalar,_StorageIndex>::init(int mode)
+{
+  m_mode = mode;
+  // This is only necessary in sparse mode, but we set these unconditionally to avoid some maybe-uninitialized warnings
+  // if (m_mode==IsSparse)
+  {
+    m_llSize = 0;
+    m_llStart = -1;
+  }
+}
+
+/** Must be called whenever we might perform a write access
+  * with an index smaller than the previous one.
+  *
+  * Don't worry, this function is extremely cheap.
+  */
+template<typename _Scalar,typename _StorageIndex>
+void AmbiVector<_Scalar,_StorageIndex>::restart()
+{
+  m_llCurrent = m_llStart;
+}
+
+/** Set all coefficients of current subvector to zero */
+template<typename _Scalar,typename _StorageIndex>
+void AmbiVector<_Scalar,_StorageIndex>::setZero()
+{
+  if (m_mode==IsDense)
+  {
+    for (Index i=m_start; i<m_end; ++i)
+      m_buffer[i] = Scalar(0);
+  }
+  else
+  {
+    eigen_assert(m_mode==IsSparse);
+    m_llSize = 0;
+    m_llStart = -1;
+  }
+}
+
+template<typename _Scalar,typename _StorageIndex>
+_Scalar& AmbiVector<_Scalar,_StorageIndex>::coeffRef(Index i)
+{
+  if (m_mode==IsDense)
+    return m_buffer[i];
+  else
+  {
+    ListEl* EIGEN_RESTRICT llElements = reinterpret_cast<ListEl*>(m_buffer);
+    // TODO factorize the following code to reduce code generation
+    eigen_assert(m_mode==IsSparse);
+    if (m_llSize==0)
+    {
+      // this is the first element
+      m_llStart = 0;
+      m_llCurrent = 0;
+      ++m_llSize;
+      llElements[0].value = Scalar(0);
+      llElements[0].index = convert_index(i);
+      llElements[0].next = -1;
+      return llElements[0].value;
+    }
+    else if (i<llElements[m_llStart].index)
+    {
+      // this is going to be the new first element of the list
+      ListEl& el = llElements[m_llSize];
+      el.value = Scalar(0);
+      el.index = convert_index(i);
+      el.next = m_llStart;
+      m_llStart = m_llSize;
+      ++m_llSize;
+      m_llCurrent = m_llStart;
+      return el.value;
+    }
+    else
+    {
+      StorageIndex nextel = llElements[m_llCurrent].next;
+      eigen_assert(i>=llElements[m_llCurrent].index && "you must call restart() before inserting an element with lower or equal index");
+      while (nextel >= 0 && llElements[nextel].index<=i)
+      {
+        m_llCurrent = nextel;
+        nextel = llElements[nextel].next;
+      }
+
+      if (llElements[m_llCurrent].index==i)
+      {
+        // the coefficient already exists and we found it !
+        return llElements[m_llCurrent].value;
+      }
+      else
+      {
+        if (m_llSize>=m_allocatedElements)
+        {
+          reallocateSparse();
+          llElements = reinterpret_cast<ListEl*>(m_buffer);
+        }
+        eigen_internal_assert(m_llSize<m_allocatedElements && "internal error: overflow in sparse mode");
+        // let's insert a new coefficient
+        ListEl& el = llElements[m_llSize];
+        el.value = Scalar(0);
+        el.index = convert_index(i);
+        el.next = llElements[m_llCurrent].next;
+        llElements[m_llCurrent].next = m_llSize;
+        ++m_llSize;
+        return el.value;
+      }
+    }
+  }
+}
+
+template<typename _Scalar,typename _StorageIndex>
+_Scalar& AmbiVector<_Scalar,_StorageIndex>::coeff(Index i)
+{
+  if (m_mode==IsDense)
+    return m_buffer[i];
+  else
+  {
+    ListEl* EIGEN_RESTRICT llElements = reinterpret_cast<ListEl*>(m_buffer);
+    eigen_assert(m_mode==IsSparse);
+    if ((m_llSize==0) || (i<llElements[m_llStart].index))
+    {
+      return m_zero;
+    }
+    else
+    {
+      Index elid = m_llStart;
+      while (elid >= 0 && llElements[elid].index<i)
+        elid = llElements[elid].next;
+
+      if (llElements[elid].index==i)
+        return llElements[m_llCurrent].value;
+      else
+        return m_zero;
+    }
+  }
+}
+
+/** Iterator over the nonzero coefficients */
+template<typename _Scalar,typename _StorageIndex>
+class AmbiVector<_Scalar,_StorageIndex>::Iterator
+{
+  public:
+    typedef _Scalar Scalar;
+    typedef typename NumTraits<Scalar>::Real RealScalar;
+
+    /** Default constructor
+      * \param vec the vector on which we iterate
+      * \param epsilon the minimal value used to prune zero coefficients.
+      * In practice, all coefficients having a magnitude smaller than \a epsilon
+      * are skipped.
+      */
+    explicit Iterator(const AmbiVector& vec, const RealScalar& epsilon = 0)
+      : m_vector(vec)
+    {
+      using std::abs;
+      m_epsilon = epsilon;
+      m_isDense = m_vector.m_mode==IsDense;
+      if (m_isDense)
+      {
+        m_currentEl = 0;   // this is to avoid a compilation warning
+        m_cachedValue = 0; // this is to avoid a compilation warning
+        m_cachedIndex = m_vector.m_start-1;
+        ++(*this);
+      }
+      else
+      {
+        ListEl* EIGEN_RESTRICT llElements = reinterpret_cast<ListEl*>(m_vector.m_buffer);
+        m_currentEl = m_vector.m_llStart;
+        while (m_currentEl>=0 && abs(llElements[m_currentEl].value)<=m_epsilon)
+          m_currentEl = llElements[m_currentEl].next;
+        if (m_currentEl<0)
+        {
+          m_cachedValue = 0; // this is to avoid a compilation warning
+          m_cachedIndex = -1;
+        }
+        else
+        {
+          m_cachedIndex = llElements[m_currentEl].index;
+          m_cachedValue = llElements[m_currentEl].value;
+        }
+      }
+    }
+
+    StorageIndex index() const { return m_cachedIndex; }
+    Scalar value() const { return m_cachedValue; }
+
+    operator bool() const { return m_cachedIndex>=0; }
+
+    Iterator& operator++()
+    {
+      using std::abs;
+      if (m_isDense)
+      {
+        do {
+          ++m_cachedIndex;
+        } while (m_cachedIndex<m_vector.m_end && abs(m_vector.m_buffer[m_cachedIndex])<=m_epsilon);
+        if (m_cachedIndex<m_vector.m_end)
+          m_cachedValue = m_vector.m_buffer[m_cachedIndex];
+        else
+          m_cachedIndex=-1;
+      }
+      else
+      {
+        ListEl* EIGEN_RESTRICT llElements = reinterpret_cast<ListEl*>(m_vector.m_buffer);
+        do {
+          m_currentEl = llElements[m_currentEl].next;
+        } while (m_currentEl>=0 && abs(llElements[m_currentEl].value)<=m_epsilon);
+        if (m_currentEl<0)
+        {
+          m_cachedIndex = -1;
+        }
+        else
+        {
+          m_cachedIndex = llElements[m_currentEl].index;
+          m_cachedValue = llElements[m_currentEl].value;
+        }
+      }
+      return *this;
+    }
+
+  protected:
+    const AmbiVector& m_vector; // the target vector
+    StorageIndex m_currentEl;   // the current element in sparse/linked-list mode
+    RealScalar m_epsilon;       // epsilon used to prune zero coefficients
+    StorageIndex m_cachedIndex; // current coordinate
+    Scalar m_cachedValue;       // current value
+    bool m_isDense;             // mode of the vector
+};
+
+} // end namespace internal
+
+} // end namespace Eigen
+
+#endif // EIGEN_AMBIVECTOR_H
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/SparseCore/SparseUtil.h
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/SparseCore/SparseUtil.h	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/SparseCore/SparseUtil.h	(revision 3761)
@@ -0,0 +1,178 @@
+// This file is part of Eigen, a lightweight C++ template library
+// for linear algebra.
+//
+// Copyright (C) 2008-2014 Gael Guennebaud <gael.guennebaud@inria.fr>
+//
+// This Source Code Form is subject to the terms of the Mozilla
+// Public License v. 2.0. If a copy of the MPL was not distributed
+// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
+
+#ifndef EIGEN_SPARSEUTIL_H
+#define EIGEN_SPARSEUTIL_H
+
+namespace Eigen { 
+
+#ifdef NDEBUG
+#define EIGEN_DBG_SPARSE(X)
+#else
+#define EIGEN_DBG_SPARSE(X) X
+#endif
+
+#define EIGEN_SPARSE_INHERIT_ASSIGNMENT_OPERATOR(Derived, Op) \
+template<typename OtherDerived> \
+EIGEN_STRONG_INLINE Derived& operator Op(const Eigen::SparseMatrixBase<OtherDerived>& other) \
+{ \
+  return Base::operator Op(other.derived()); \
+} \
+EIGEN_STRONG_INLINE Derived& operator Op(const Derived& other) \
+{ \
+  return Base::operator Op(other); \
+}
+
+#define EIGEN_SPARSE_INHERIT_SCALAR_ASSIGNMENT_OPERATOR(Derived, Op) \
+template<typename Other> \
+EIGEN_STRONG_INLINE Derived& operator Op(const Other& scalar) \
+{ \
+  return Base::operator Op(scalar); \
+}
+
+#define EIGEN_SPARSE_INHERIT_ASSIGNMENT_OPERATORS(Derived) \
+EIGEN_SPARSE_INHERIT_ASSIGNMENT_OPERATOR(Derived, =)
+
+
+#define EIGEN_SPARSE_PUBLIC_INTERFACE(Derived) \
+  EIGEN_GENERIC_PUBLIC_INTERFACE(Derived)
+
+  
+const int CoherentAccessPattern     = 0x1;
+const int InnerRandomAccessPattern  = 0x2 | CoherentAccessPattern;
+const int OuterRandomAccessPattern  = 0x4 | CoherentAccessPattern;
+const int RandomAccessPattern       = 0x8 | OuterRandomAccessPattern | InnerRandomAccessPattern;
+
+template<typename _Scalar, int _Flags = 0, typename _StorageIndex = int>  class SparseMatrix;
+template<typename _Scalar, int _Flags = 0, typename _StorageIndex = int>  class DynamicSparseMatrix;
+template<typename _Scalar, int _Flags = 0, typename _StorageIndex = int>  class SparseVector;
+template<typename _Scalar, int _Flags = 0, typename _StorageIndex = int>  class MappedSparseMatrix;
+
+template<typename MatrixType, unsigned int UpLo>  class SparseSelfAdjointView;
+template<typename Lhs, typename Rhs>              class SparseDiagonalProduct;
+template<typename MatrixType> class SparseView;
+
+template<typename Lhs, typename Rhs>        class SparseSparseProduct;
+template<typename Lhs, typename Rhs>        class SparseTimeDenseProduct;
+template<typename Lhs, typename Rhs>        class DenseTimeSparseProduct;
+template<typename Lhs, typename Rhs, bool Transpose> class SparseDenseOuterProduct;
+
+template<typename Lhs, typename Rhs> struct SparseSparseProductReturnType;
+template<typename Lhs, typename Rhs,
+         int InnerSize = EIGEN_SIZE_MIN_PREFER_FIXED(internal::traits<Lhs>::ColsAtCompileTime,internal::traits<Rhs>::RowsAtCompileTime)> struct DenseSparseProductReturnType;
+         
+template<typename Lhs, typename Rhs,
+         int InnerSize = EIGEN_SIZE_MIN_PREFER_FIXED(internal::traits<Lhs>::ColsAtCompileTime,internal::traits<Rhs>::RowsAtCompileTime)> struct SparseDenseProductReturnType;
+template<typename MatrixType,int UpLo> class SparseSymmetricPermutationProduct;
+
+namespace internal {
+
+template<typename T,int Rows,int Cols,int Flags> struct sparse_eval;
+
+template<typename T> struct eval<T,Sparse>
+  : sparse_eval<T, traits<T>::RowsAtCompileTime,traits<T>::ColsAtCompileTime,traits<T>::Flags>
+{};
+
+template<typename T,int Cols,int Flags> struct sparse_eval<T,1,Cols,Flags> {
+    typedef typename traits<T>::Scalar _Scalar;
+    typedef typename traits<T>::StorageIndex _StorageIndex;
+  public:
+    typedef SparseVector<_Scalar, RowMajor, _StorageIndex> type;
+};
+
+template<typename T,int Rows,int Flags> struct sparse_eval<T,Rows,1,Flags> {
+    typedef typename traits<T>::Scalar _Scalar;
+    typedef typename traits<T>::StorageIndex _StorageIndex;
+  public:
+    typedef SparseVector<_Scalar, ColMajor, _StorageIndex> type;
+};
+
+// TODO this seems almost identical to plain_matrix_type<T, Sparse>
+template<typename T,int Rows,int Cols,int Flags> struct sparse_eval {
+    typedef typename traits<T>::Scalar _Scalar;
+    typedef typename traits<T>::StorageIndex _StorageIndex;
+    enum { _Options = ((Flags&RowMajorBit)==RowMajorBit) ? RowMajor : ColMajor };
+  public:
+    typedef SparseMatrix<_Scalar, _Options, _StorageIndex> type;
+};
+
+template<typename T,int Flags> struct sparse_eval<T,1,1,Flags> {
+    typedef typename traits<T>::Scalar _Scalar;
+  public:
+    typedef Matrix<_Scalar, 1, 1> type;
+};
+
+template<typename T> struct plain_matrix_type<T,Sparse>
+{
+  typedef typename traits<T>::Scalar _Scalar;
+  typedef typename traits<T>::StorageIndex _StorageIndex;
+  enum { _Options = ((evaluator<T>::Flags&RowMajorBit)==RowMajorBit) ? RowMajor : ColMajor };
+  public:
+    typedef SparseMatrix<_Scalar, _Options, _StorageIndex> type;
+};
+
+template<typename T>
+struct plain_object_eval<T,Sparse>
+  : sparse_eval<T, traits<T>::RowsAtCompileTime,traits<T>::ColsAtCompileTime, evaluator<T>::Flags>
+{};
+
+template<typename Decomposition, typename RhsType>
+struct solve_traits<Decomposition,RhsType,Sparse>
+{
+  typedef typename sparse_eval<RhsType, RhsType::RowsAtCompileTime, RhsType::ColsAtCompileTime,traits<RhsType>::Flags>::type PlainObject;
+};
+
+template<typename Derived>
+struct generic_xpr_base<Derived, MatrixXpr, Sparse>
+{
+  typedef SparseMatrixBase<Derived> type;
+};
+
+struct SparseTriangularShape  { static std::string debugName() { return "SparseTriangularShape"; } };
+struct SparseSelfAdjointShape { static std::string debugName() { return "SparseSelfAdjointShape"; } };
+
+template<> struct glue_shapes<SparseShape,SelfAdjointShape> { typedef SparseSelfAdjointShape type;  };
+template<> struct glue_shapes<SparseShape,TriangularShape > { typedef SparseTriangularShape  type;  };
+
+} // end namespace internal
+
+/** \ingroup SparseCore_Module
+  *
+  * \class Triplet
+  *
+  * \brief A small structure to hold a non zero as a triplet (i,j,value).
+  *
+  * \sa SparseMatrix::setFromTriplets()
+  */
+template<typename Scalar, typename StorageIndex=typename SparseMatrix<Scalar>::StorageIndex >
+class Triplet
+{
+public:
+  Triplet() : m_row(0), m_col(0), m_value(0) {}
+
+  Triplet(const StorageIndex& i, const StorageIndex& j, const Scalar& v = Scalar(0))
+    : m_row(i), m_col(j), m_value(v)
+  {}
+
+  /** \returns the row index of the element */
+  const StorageIndex& row() const { return m_row; }
+
+  /** \returns the column index of the element */
+  const StorageIndex& col() const { return m_col; }
+
+  /** \returns the value of the element */
+  const Scalar& value() const { return m_value; }
+protected:
+  StorageIndex m_row, m_col;
+  Scalar m_value;
+};
+
+} // end namespace Eigen
+
+#endif // EIGEN_SPARSEUTIL_H
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h	(revision 3761)
@@ -0,0 +1,726 @@
+// This file is part of Eigen, a lightweight C++ template library
+// for linear algebra.
+//
+// Copyright (C) 2008-2014 Gael Guennebaud <gael.guennebaud@inria.fr>
+//
+// This Source Code Form is subject to the terms of the Mozilla
+// Public License v. 2.0. If a copy of the MPL was not distributed
+// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
+
+#ifndef EIGEN_SPARSE_CWISE_BINARY_OP_H
+#define EIGEN_SPARSE_CWISE_BINARY_OP_H
+
+namespace Eigen { 
+
+// Here we have to handle 3 cases:
+//  1 - sparse op dense
+//  2 - dense op sparse
+//  3 - sparse op sparse
+// We also need to implement a 4th iterator for:
+//  4 - dense op dense
+// Finally, we also need to distinguish between the product and other operations :
+//                configuration      returned mode
+//  1 - sparse op dense    product      sparse
+//                         generic      dense
+//  2 - dense op sparse    product      sparse
+//                         generic      dense
+//  3 - sparse op sparse   product      sparse
+//                         generic      sparse
+//  4 - dense op dense     product      dense
+//                         generic      dense
+//
+// TODO to ease compiler job, we could specialize product/quotient with a scalar
+//      and fallback to cwise-unary evaluator using bind1st_op and bind2nd_op.
+
+template<typename BinaryOp, typename Lhs, typename Rhs>
+class CwiseBinaryOpImpl<BinaryOp, Lhs, Rhs, Sparse>
+  : public SparseMatrixBase<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
+{
+  public:
+    typedef CwiseBinaryOp<BinaryOp, Lhs, Rhs> Derived;
+    typedef SparseMatrixBase<Derived> Base;
+    EIGEN_SPARSE_PUBLIC_INTERFACE(Derived)
+    CwiseBinaryOpImpl()
+    {
+      EIGEN_STATIC_ASSERT((
+                (!internal::is_same<typename internal::traits<Lhs>::StorageKind,
+                                    typename internal::traits<Rhs>::StorageKind>::value)
+            ||  ((internal::evaluator<Lhs>::Flags&RowMajorBit) == (internal::evaluator<Rhs>::Flags&RowMajorBit))),
+            THE_STORAGE_ORDER_OF_BOTH_SIDES_MUST_MATCH);
+    }
+};
+
+namespace internal {
+
+  
+// Generic "sparse OP sparse"
+template<typename XprType> struct binary_sparse_evaluator;
+
+template<typename BinaryOp, typename Lhs, typename Rhs>
+struct binary_evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs>, IteratorBased, IteratorBased>
+  : evaluator_base<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
+{
+protected:
+  typedef typename evaluator<Lhs>::InnerIterator  LhsIterator;
+  typedef typename evaluator<Rhs>::InnerIterator  RhsIterator;
+  typedef CwiseBinaryOp<BinaryOp, Lhs, Rhs> XprType;
+  typedef typename traits<XprType>::Scalar Scalar;
+  typedef typename XprType::StorageIndex StorageIndex;
+public:
+
+  class InnerIterator
+  {
+  public:
+    
+    EIGEN_STRONG_INLINE InnerIterator(const binary_evaluator& aEval, Index outer)
+      : m_lhsIter(aEval.m_lhsImpl,outer), m_rhsIter(aEval.m_rhsImpl,outer), m_functor(aEval.m_functor)
+    {
+      this->operator++();
+    }
+
+    EIGEN_STRONG_INLINE InnerIterator& operator++()
+    {
+      if (m_lhsIter && m_rhsIter && (m_lhsIter.index() == m_rhsIter.index()))
+      {
+        m_id = m_lhsIter.index();
+        m_value = m_functor(m_lhsIter.value(), m_rhsIter.value());
+        ++m_lhsIter;
+        ++m_rhsIter;
+      }
+      else if (m_lhsIter && (!m_rhsIter || (m_lhsIter.index() < m_rhsIter.index())))
+      {
+        m_id = m_lhsIter.index();
+        m_value = m_functor(m_lhsIter.value(), Scalar(0));
+        ++m_lhsIter;
+      }
+      else if (m_rhsIter && (!m_lhsIter || (m_lhsIter.index() > m_rhsIter.index())))
+      {
+        m_id = m_rhsIter.index();
+        m_value = m_functor(Scalar(0), m_rhsIter.value());
+        ++m_rhsIter;
+      }
+      else
+      {
+        m_value = 0; // this is to avoid a compilation warning
+        m_id = -1;
+      }
+      return *this;
+    }
+
+    EIGEN_STRONG_INLINE Scalar value() const { return m_value; }
+
+    EIGEN_STRONG_INLINE StorageIndex index() const { return m_id; }
+    EIGEN_STRONG_INLINE Index outer() const { return m_lhsIter.outer(); }
+    EIGEN_STRONG_INLINE Index row() const { return Lhs::IsRowMajor ? m_lhsIter.row() : index(); }
+    EIGEN_STRONG_INLINE Index col() const { return Lhs::IsRowMajor ? index() : m_lhsIter.col(); }
+
+    EIGEN_STRONG_INLINE operator bool() const { return m_id>=0; }
+
+  protected:
+    LhsIterator m_lhsIter;
+    RhsIterator m_rhsIter;
+    const BinaryOp& m_functor;
+    Scalar m_value;
+    StorageIndex m_id;
+  };
+  
+  
+  enum {
+    CoeffReadCost = evaluator<Lhs>::CoeffReadCost + evaluator<Rhs>::CoeffReadCost + functor_traits<BinaryOp>::Cost,
+    Flags = XprType::Flags
+  };
+  
+  explicit binary_evaluator(const XprType& xpr)
+    : m_functor(xpr.functor()),
+      m_lhsImpl(xpr.lhs()), 
+      m_rhsImpl(xpr.rhs())  
+  {
+    EIGEN_INTERNAL_CHECK_COST_VALUE(functor_traits<BinaryOp>::Cost);
+    EIGEN_INTERNAL_CHECK_COST_VALUE(CoeffReadCost);
+  }
+  
+  inline Index nonZerosEstimate() const {
+    return m_lhsImpl.nonZerosEstimate() + m_rhsImpl.nonZerosEstimate();
+  }
+
+protected:
+  const BinaryOp m_functor;
+  evaluator<Lhs> m_lhsImpl;
+  evaluator<Rhs> m_rhsImpl;
+};
+
+// dense op sparse
+template<typename BinaryOp, typename Lhs, typename Rhs>
+struct binary_evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs>, IndexBased, IteratorBased>
+  : evaluator_base<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
+{
+protected:
+  typedef typename evaluator<Rhs>::InnerIterator  RhsIterator;
+  typedef CwiseBinaryOp<BinaryOp, Lhs, Rhs> XprType;
+  typedef typename traits<XprType>::Scalar Scalar;
+  typedef typename XprType::StorageIndex StorageIndex;
+public:
+
+  class InnerIterator
+  {
+    enum { IsRowMajor = (int(Rhs::Flags)&RowMajorBit)==RowMajorBit };
+  public:
+
+    EIGEN_STRONG_INLINE InnerIterator(const binary_evaluator& aEval, Index outer)
+      : m_lhsEval(aEval.m_lhsImpl), m_rhsIter(aEval.m_rhsImpl,outer), m_functor(aEval.m_functor), m_value(0), m_id(-1), m_innerSize(aEval.m_expr.rhs().innerSize())
+    {
+      this->operator++();
+    }
+
+    EIGEN_STRONG_INLINE InnerIterator& operator++()
+    {
+      ++m_id;
+      if(m_id<m_innerSize)
+      {
+        Scalar lhsVal = m_lhsEval.coeff(IsRowMajor?m_rhsIter.outer():m_id,
+                                        IsRowMajor?m_id:m_rhsIter.outer());
+        if(m_rhsIter && m_rhsIter.index()==m_id)
+        {
+          m_value = m_functor(lhsVal, m_rhsIter.value());
+          ++m_rhsIter;
+        }
+        else
+          m_value = m_functor(lhsVal, Scalar(0));
+      }
+
+      return *this;
+    }
+
+    EIGEN_STRONG_INLINE Scalar value() const { eigen_internal_assert(m_id<m_innerSize); return m_value; }
+
+    EIGEN_STRONG_INLINE StorageIndex index() const { return m_id; }
+    EIGEN_STRONG_INLINE Index outer() const { return m_rhsIter.outer(); }
+    EIGEN_STRONG_INLINE Index row() const { return IsRowMajor ? m_rhsIter.outer() : m_id; }
+    EIGEN_STRONG_INLINE Index col() const { return IsRowMajor ? m_id : m_rhsIter.outer(); }
+
+    EIGEN_STRONG_INLINE operator bool() const { return m_id<m_innerSize; }
+
+  protected:
+    const evaluator<Lhs> &m_lhsEval;
+    RhsIterator m_rhsIter;
+    const BinaryOp& m_functor;
+    Scalar m_value;
+    StorageIndex m_id;
+    StorageIndex m_innerSize;
+  };
+
+
+  enum {
+    CoeffReadCost = evaluator<Lhs>::CoeffReadCost + evaluator<Rhs>::CoeffReadCost + functor_traits<BinaryOp>::Cost,
+    // Expose storage order of the sparse expression
+    Flags = (XprType::Flags & ~RowMajorBit) | (int(Rhs::Flags)&RowMajorBit)
+  };
+
+  explicit binary_evaluator(const XprType& xpr)
+    : m_functor(xpr.functor()),
+      m_lhsImpl(xpr.lhs()),
+      m_rhsImpl(xpr.rhs()),
+      m_expr(xpr)
+  {
+    EIGEN_INTERNAL_CHECK_COST_VALUE(functor_traits<BinaryOp>::Cost);
+    EIGEN_INTERNAL_CHECK_COST_VALUE(CoeffReadCost);
+  }
+
+  inline Index nonZerosEstimate() const {
+    return m_expr.size();
+  }
+
+protected:
+  const BinaryOp m_functor;
+  evaluator<Lhs> m_lhsImpl;
+  evaluator<Rhs> m_rhsImpl;
+  const XprType &m_expr;
+};
+
+// sparse op dense
+template<typename BinaryOp, typename Lhs, typename Rhs>
+struct binary_evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs>, IteratorBased, IndexBased>
+  : evaluator_base<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
+{
+protected:
+  typedef typename evaluator<Lhs>::InnerIterator  LhsIterator;
+  typedef CwiseBinaryOp<BinaryOp, Lhs, Rhs> XprType;
+  typedef typename traits<XprType>::Scalar Scalar;
+  typedef typename XprType::StorageIndex StorageIndex;
+public:
+
+  class InnerIterator
+  {
+    enum { IsRowMajor = (int(Lhs::Flags)&RowMajorBit)==RowMajorBit };
+  public:
+
+    EIGEN_STRONG_INLINE InnerIterator(const binary_evaluator& aEval, Index outer)
+      : m_lhsIter(aEval.m_lhsImpl,outer), m_rhsEval(aEval.m_rhsImpl), m_functor(aEval.m_functor), m_value(0), m_id(-1), m_innerSize(aEval.m_expr.lhs().innerSize())
+    {
+      this->operator++();
+    }
+
+    EIGEN_STRONG_INLINE InnerIterator& operator++()
+    {
+      ++m_id;
+      if(m_id<m_innerSize)
+      {
+        Scalar rhsVal = m_rhsEval.coeff(IsRowMajor?m_lhsIter.outer():m_id,
+                                        IsRowMajor?m_id:m_lhsIter.outer());
+        if(m_lhsIter && m_lhsIter.index()==m_id)
+        {
+          m_value = m_functor(m_lhsIter.value(), rhsVal);
+          ++m_lhsIter;
+        }
+        else
+          m_value = m_functor(Scalar(0),rhsVal);
+      }
+
+      return *this;
+    }
+
+    EIGEN_STRONG_INLINE Scalar value() const { eigen_internal_assert(m_id<m_innerSize); return m_value; }
+
+    EIGEN_STRONG_INLINE StorageIndex index() const { return m_id; }
+    EIGEN_STRONG_INLINE Index outer() const { return m_lhsIter.outer(); }
+    EIGEN_STRONG_INLINE Index row() const { return IsRowMajor ? m_lhsIter.outer() : m_id; }
+    EIGEN_STRONG_INLINE Index col() const { return IsRowMajor ? m_id : m_lhsIter.outer(); }
+
+    EIGEN_STRONG_INLINE operator bool() const { return m_id<m_innerSize; }
+
+  protected:
+    LhsIterator m_lhsIter;
+    const evaluator<Rhs> &m_rhsEval;
+    const BinaryOp& m_functor;
+    Scalar m_value;
+    StorageIndex m_id;
+    StorageIndex m_innerSize;
+  };
+
+
+  enum {
+    CoeffReadCost = evaluator<Lhs>::CoeffReadCost + evaluator<Rhs>::CoeffReadCost + functor_traits<BinaryOp>::Cost,
+    // Expose storage order of the sparse expression
+    Flags = (XprType::Flags & ~RowMajorBit) | (int(Lhs::Flags)&RowMajorBit)
+  };
+
+  explicit binary_evaluator(const XprType& xpr)
+    : m_functor(xpr.functor()),
+      m_lhsImpl(xpr.lhs()),
+      m_rhsImpl(xpr.rhs()),
+      m_expr(xpr)
+  {
+    EIGEN_INTERNAL_CHECK_COST_VALUE(functor_traits<BinaryOp>::Cost);
+    EIGEN_INTERNAL_CHECK_COST_VALUE(CoeffReadCost);
+  }
+
+  inline Index nonZerosEstimate() const {
+    return m_expr.size();
+  }
+
+protected:
+  const BinaryOp m_functor;
+  evaluator<Lhs> m_lhsImpl;
+  evaluator<Rhs> m_rhsImpl;
+  const XprType &m_expr;
+};
+
+template<typename T,
+         typename LhsKind   = typename evaluator_traits<typename T::Lhs>::Kind,
+         typename RhsKind   = typename evaluator_traits<typename T::Rhs>::Kind,
+         typename LhsScalar = typename traits<typename T::Lhs>::Scalar,
+         typename RhsScalar = typename traits<typename T::Rhs>::Scalar> struct sparse_conjunction_evaluator;
+
+// "sparse .* sparse"
+template<typename T1, typename T2, typename Lhs, typename Rhs>
+struct binary_evaluator<CwiseBinaryOp<scalar_product_op<T1,T2>, Lhs, Rhs>, IteratorBased, IteratorBased>
+  : sparse_conjunction_evaluator<CwiseBinaryOp<scalar_product_op<T1,T2>, Lhs, Rhs> >
+{
+  typedef CwiseBinaryOp<scalar_product_op<T1,T2>, Lhs, Rhs> XprType;
+  typedef sparse_conjunction_evaluator<XprType> Base;
+  explicit binary_evaluator(const XprType& xpr) : Base(xpr) {}
+};
+// "dense .* sparse"
+template<typename T1, typename T2, typename Lhs, typename Rhs>
+struct binary_evaluator<CwiseBinaryOp<scalar_product_op<T1,T2>, Lhs, Rhs>, IndexBased, IteratorBased>
+  : sparse_conjunction_evaluator<CwiseBinaryOp<scalar_product_op<T1,T2>, Lhs, Rhs> >
+{
+  typedef CwiseBinaryOp<scalar_product_op<T1,T2>, Lhs, Rhs> XprType;
+  typedef sparse_conjunction_evaluator<XprType> Base;
+  explicit binary_evaluator(const XprType& xpr) : Base(xpr) {}
+};
+// "sparse .* dense"
+template<typename T1, typename T2, typename Lhs, typename Rhs>
+struct binary_evaluator<CwiseBinaryOp<scalar_product_op<T1,T2>, Lhs, Rhs>, IteratorBased, IndexBased>
+  : sparse_conjunction_evaluator<CwiseBinaryOp<scalar_product_op<T1,T2>, Lhs, Rhs> >
+{
+  typedef CwiseBinaryOp<scalar_product_op<T1,T2>, Lhs, Rhs> XprType;
+  typedef sparse_conjunction_evaluator<XprType> Base;
+  explicit binary_evaluator(const XprType& xpr) : Base(xpr) {}
+};
+
+// "sparse ./ dense"
+template<typename T1, typename T2, typename Lhs, typename Rhs>
+struct binary_evaluator<CwiseBinaryOp<scalar_quotient_op<T1,T2>, Lhs, Rhs>, IteratorBased, IndexBased>
+  : sparse_conjunction_evaluator<CwiseBinaryOp<scalar_quotient_op<T1,T2>, Lhs, Rhs> >
+{
+  typedef CwiseBinaryOp<scalar_quotient_op<T1,T2>, Lhs, Rhs> XprType;
+  typedef sparse_conjunction_evaluator<XprType> Base;
+  explicit binary_evaluator(const XprType& xpr) : Base(xpr) {}
+};
+
+// "sparse && sparse"
+template<typename Lhs, typename Rhs>
+struct binary_evaluator<CwiseBinaryOp<scalar_boolean_and_op, Lhs, Rhs>, IteratorBased, IteratorBased>
+  : sparse_conjunction_evaluator<CwiseBinaryOp<scalar_boolean_and_op, Lhs, Rhs> >
+{
+  typedef CwiseBinaryOp<scalar_boolean_and_op, Lhs, Rhs> XprType;
+  typedef sparse_conjunction_evaluator<XprType> Base;
+  explicit binary_evaluator(const XprType& xpr) : Base(xpr) {}
+};
+// "dense && sparse"
+template<typename Lhs, typename Rhs>
+struct binary_evaluator<CwiseBinaryOp<scalar_boolean_and_op, Lhs, Rhs>, IndexBased, IteratorBased>
+  : sparse_conjunction_evaluator<CwiseBinaryOp<scalar_boolean_and_op, Lhs, Rhs> >
+{
+  typedef CwiseBinaryOp<scalar_boolean_and_op, Lhs, Rhs> XprType;
+  typedef sparse_conjunction_evaluator<XprType> Base;
+  explicit binary_evaluator(const XprType& xpr) : Base(xpr) {}
+};
+// "sparse && dense"
+template<typename Lhs, typename Rhs>
+struct binary_evaluator<CwiseBinaryOp<scalar_boolean_and_op, Lhs, Rhs>, IteratorBased, IndexBased>
+  : sparse_conjunction_evaluator<CwiseBinaryOp<scalar_boolean_and_op, Lhs, Rhs> >
+{
+  typedef CwiseBinaryOp<scalar_boolean_and_op, Lhs, Rhs> XprType;
+  typedef sparse_conjunction_evaluator<XprType> Base;
+  explicit binary_evaluator(const XprType& xpr) : Base(xpr) {}
+};
+
+// "sparse ^ sparse"
+template<typename XprType>
+struct sparse_conjunction_evaluator<XprType, IteratorBased, IteratorBased>
+  : evaluator_base<XprType>
+{
+protected:
+  typedef typename XprType::Functor BinaryOp;
+  typedef typename XprType::Lhs LhsArg;
+  typedef typename XprType::Rhs RhsArg;
+  typedef typename evaluator<LhsArg>::InnerIterator  LhsIterator;
+  typedef typename evaluator<RhsArg>::InnerIterator  RhsIterator;
+  typedef typename XprType::StorageIndex StorageIndex;
+  typedef typename traits<XprType>::Scalar Scalar;
+public:
+
+  class InnerIterator
+  {
+  public:
+    
+    EIGEN_STRONG_INLINE InnerIterator(const sparse_conjunction_evaluator& aEval, Index outer)
+      : m_lhsIter(aEval.m_lhsImpl,outer), m_rhsIter(aEval.m_rhsImpl,outer), m_functor(aEval.m_functor)
+    {
+      while (m_lhsIter && m_rhsIter && (m_lhsIter.index() != m_rhsIter.index()))
+      {
+        if (m_lhsIter.index() < m_rhsIter.index())
+          ++m_lhsIter;
+        else
+          ++m_rhsIter;
+      }
+    }
+
+    EIGEN_STRONG_INLINE InnerIterator& operator++()
+    {
+      ++m_lhsIter;
+      ++m_rhsIter;
+      while (m_lhsIter && m_rhsIter && (m_lhsIter.index() != m_rhsIter.index()))
+      {
+        if (m_lhsIter.index() < m_rhsIter.index())
+          ++m_lhsIter;
+        else
+          ++m_rhsIter;
+      }
+      return *this;
+    }
+    
+    EIGEN_STRONG_INLINE Scalar value() const { return m_functor(m_lhsIter.value(), m_rhsIter.value()); }
+
+    EIGEN_STRONG_INLINE StorageIndex index() const { return m_lhsIter.index(); }
+    EIGEN_STRONG_INLINE Index outer() const { return m_lhsIter.outer(); }
+    EIGEN_STRONG_INLINE Index row() const { return m_lhsIter.row(); }
+    EIGEN_STRONG_INLINE Index col() const { return m_lhsIter.col(); }
+
+    EIGEN_STRONG_INLINE operator bool() const { return (m_lhsIter && m_rhsIter); }
+
+  protected:
+    LhsIterator m_lhsIter;
+    RhsIterator m_rhsIter;
+    const BinaryOp& m_functor;
+  };
+  
+  
+  enum {
+    CoeffReadCost = evaluator<LhsArg>::CoeffReadCost + evaluator<RhsArg>::CoeffReadCost + functor_traits<BinaryOp>::Cost,
+    Flags = XprType::Flags
+  };
+  
+  explicit sparse_conjunction_evaluator(const XprType& xpr)
+    : m_functor(xpr.functor()),
+      m_lhsImpl(xpr.lhs()), 
+      m_rhsImpl(xpr.rhs())  
+  {
+    EIGEN_INTERNAL_CHECK_COST_VALUE(functor_traits<BinaryOp>::Cost);
+    EIGEN_INTERNAL_CHECK_COST_VALUE(CoeffReadCost);
+  }
+  
+  inline Index nonZerosEstimate() const {
+    return (std::min)(m_lhsImpl.nonZerosEstimate(), m_rhsImpl.nonZerosEstimate());
+  }
+
+protected:
+  const BinaryOp m_functor;
+  evaluator<LhsArg> m_lhsImpl;
+  evaluator<RhsArg> m_rhsImpl;
+};
+
+// "dense ^ sparse"
+template<typename XprType>
+struct sparse_conjunction_evaluator<XprType, IndexBased, IteratorBased>
+  : evaluator_base<XprType>
+{
+protected:
+  typedef typename XprType::Functor BinaryOp;
+  typedef typename XprType::Lhs LhsArg;
+  typedef typename XprType::Rhs RhsArg;
+  typedef evaluator<LhsArg> LhsEvaluator;
+  typedef typename evaluator<RhsArg>::InnerIterator  RhsIterator;
+  typedef typename XprType::StorageIndex StorageIndex;
+  typedef typename traits<XprType>::Scalar Scalar;
+public:
+
+  class InnerIterator
+  {
+    enum { IsRowMajor = (int(RhsArg::Flags)&RowMajorBit)==RowMajorBit };
+
+  public:
+    
+    EIGEN_STRONG_INLINE InnerIterator(const sparse_conjunction_evaluator& aEval, Index outer)
+      : m_lhsEval(aEval.m_lhsImpl), m_rhsIter(aEval.m_rhsImpl,outer), m_functor(aEval.m_functor), m_outer(outer)
+    {}
+
+    EIGEN_STRONG_INLINE InnerIterator& operator++()
+    {
+      ++m_rhsIter;
+      return *this;
+    }
+
+    EIGEN_STRONG_INLINE Scalar value() const
+    { return m_functor(m_lhsEval.coeff(IsRowMajor?m_outer:m_rhsIter.index(),IsRowMajor?m_rhsIter.index():m_outer), m_rhsIter.value()); }
+
+    EIGEN_STRONG_INLINE StorageIndex index() const { return m_rhsIter.index(); }
+    EIGEN_STRONG_INLINE Index outer() const { return m_rhsIter.outer(); }
+    EIGEN_STRONG_INLINE Index row() const { return m_rhsIter.row(); }
+    EIGEN_STRONG_INLINE Index col() const { return m_rhsIter.col(); }
+
+    EIGEN_STRONG_INLINE operator bool() const { return m_rhsIter; }
+    
+  protected:
+    const LhsEvaluator &m_lhsEval;
+    RhsIterator m_rhsIter;
+    const BinaryOp& m_functor;
+    const Index m_outer;
+  };
+  
+  
+  enum {
+    CoeffReadCost = evaluator<LhsArg>::CoeffReadCost + evaluator<RhsArg>::CoeffReadCost + functor_traits<BinaryOp>::Cost,
+    // Expose storage order of the sparse expression
+    Flags = (XprType::Flags & ~RowMajorBit) | (int(RhsArg::Flags)&RowMajorBit)
+  };
+  
+  explicit sparse_conjunction_evaluator(const XprType& xpr)
+    : m_functor(xpr.functor()),
+      m_lhsImpl(xpr.lhs()), 
+      m_rhsImpl(xpr.rhs())  
+  {
+    EIGEN_INTERNAL_CHECK_COST_VALUE(functor_traits<BinaryOp>::Cost);
+    EIGEN_INTERNAL_CHECK_COST_VALUE(CoeffReadCost);
+  }
+  
+  inline Index nonZerosEstimate() const {
+    return m_rhsImpl.nonZerosEstimate();
+  }
+
+protected:
+  const BinaryOp m_functor;
+  evaluator<LhsArg> m_lhsImpl;
+  evaluator<RhsArg> m_rhsImpl;
+};
+
+// "sparse ^ dense"
+template<typename XprType>
+struct sparse_conjunction_evaluator<XprType, IteratorBased, IndexBased>
+  : evaluator_base<XprType>
+{
+protected:
+  typedef typename XprType::Functor BinaryOp;
+  typedef typename XprType::Lhs LhsArg;
+  typedef typename XprType::Rhs RhsArg;
+  typedef typename evaluator<LhsArg>::InnerIterator LhsIterator;
+  typedef evaluator<RhsArg> RhsEvaluator;
+  typedef typename XprType::StorageIndex StorageIndex;
+  typedef typename traits<XprType>::Scalar Scalar;
+public:
+
+  class InnerIterator
+  {
+    enum { IsRowMajor = (int(LhsArg::Flags)&RowMajorBit)==RowMajorBit };
+
+  public:
+    
+    EIGEN_STRONG_INLINE InnerIterator(const sparse_conjunction_evaluator& aEval, Index outer)
+      : m_lhsIter(aEval.m_lhsImpl,outer), m_rhsEval(aEval.m_rhsImpl), m_functor(aEval.m_functor), m_outer(outer)
+    {}
+
+    EIGEN_STRONG_INLINE InnerIterator& operator++()
+    {
+      ++m_lhsIter;
+      return *this;
+    }
+
+    EIGEN_STRONG_INLINE Scalar value() const
+    { return m_functor(m_lhsIter.value(),
+                       m_rhsEval.coeff(IsRowMajor?m_outer:m_lhsIter.index(),IsRowMajor?m_lhsIter.index():m_outer)); }
+
+    EIGEN_STRONG_INLINE StorageIndex index() const { return m_lhsIter.index(); }
+    EIGEN_STRONG_INLINE Index outer() const { return m_lhsIter.outer(); }
+    EIGEN_STRONG_INLINE Index row() const { return m_lhsIter.row(); }
+    EIGEN_STRONG_INLINE Index col() const { return m_lhsIter.col(); }
+
+    EIGEN_STRONG_INLINE operator bool() const { return m_lhsIter; }
+    
+  protected:
+    LhsIterator m_lhsIter;
+    const evaluator<RhsArg> &m_rhsEval;
+    const BinaryOp& m_functor;
+    const Index m_outer;
+  };
+  
+  
+  enum {
+    CoeffReadCost = evaluator<LhsArg>::CoeffReadCost + evaluator<RhsArg>::CoeffReadCost + functor_traits<BinaryOp>::Cost,
+    // Expose storage order of the sparse expression
+    Flags = (XprType::Flags & ~RowMajorBit) | (int(LhsArg::Flags)&RowMajorBit)
+  };
+  
+  explicit sparse_conjunction_evaluator(const XprType& xpr)
+    : m_functor(xpr.functor()),
+      m_lhsImpl(xpr.lhs()), 
+      m_rhsImpl(xpr.rhs())  
+  {
+    EIGEN_INTERNAL_CHECK_COST_VALUE(functor_traits<BinaryOp>::Cost);
+    EIGEN_INTERNAL_CHECK_COST_VALUE(CoeffReadCost);
+  }
+  
+  inline Index nonZerosEstimate() const {
+    return m_lhsImpl.nonZerosEstimate();
+  }
+
+protected:
+  const BinaryOp m_functor;
+  evaluator<LhsArg> m_lhsImpl;
+  evaluator<RhsArg> m_rhsImpl;
+};
+
+}
+
+/***************************************************************************
+* Implementation of SparseMatrixBase and SparseCwise functions/operators
+***************************************************************************/
+
+template<typename Derived>
+template<typename OtherDerived>
+Derived& SparseMatrixBase<Derived>::operator+=(const EigenBase<OtherDerived> &other)
+{
+  call_assignment(derived(), other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
+  return derived();
+}
+
+template<typename Derived>
+template<typename OtherDerived>
+Derived& SparseMatrixBase<Derived>::operator-=(const EigenBase<OtherDerived> &other)
+{
+  call_assignment(derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
+  return derived();
+}
+
+template<typename Derived>
+template<typename OtherDerived>
+EIGEN_STRONG_INLINE Derived &
+SparseMatrixBase<Derived>::operator-=(const SparseMatrixBase<OtherDerived> &other)
+{
+  return derived() = derived() - other.derived();
+}
+
+template<typename Derived>
+template<typename OtherDerived>
+EIGEN_STRONG_INLINE Derived &
+SparseMatrixBase<Derived>::operator+=(const SparseMatrixBase<OtherDerived>& other)
+{
+  return derived() = derived() + other.derived();
+}
+
+template<typename Derived>
+template<typename OtherDerived>
+Derived& SparseMatrixBase<Derived>::operator+=(const DiagonalBase<OtherDerived>& other)
+{
+  call_assignment_no_alias(derived(), other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
+  return derived();
+}
+
+template<typename Derived>
+template<typename OtherDerived>
+Derived& SparseMatrixBase<Derived>::operator-=(const DiagonalBase<OtherDerived>& other)
+{
+  call_assignment_no_alias(derived(), other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
+  return derived();
+}
+    
+template<typename Derived>
+template<typename OtherDerived>
+EIGEN_STRONG_INLINE const typename SparseMatrixBase<Derived>::template CwiseProductDenseReturnType<OtherDerived>::Type
+SparseMatrixBase<Derived>::cwiseProduct(const MatrixBase<OtherDerived> &other) const
+{
+  return typename CwiseProductDenseReturnType<OtherDerived>::Type(derived(), other.derived());
+}
+
+template<typename DenseDerived, typename SparseDerived>
+EIGEN_STRONG_INLINE const CwiseBinaryOp<internal::scalar_sum_op<typename DenseDerived::Scalar,typename SparseDerived::Scalar>, const DenseDerived, const SparseDerived>
+operator+(const MatrixBase<DenseDerived> &a, const SparseMatrixBase<SparseDerived> &b)
+{
+  return CwiseBinaryOp<internal::scalar_sum_op<typename DenseDerived::Scalar,typename SparseDerived::Scalar>, const DenseDerived, const SparseDerived>(a.derived(), b.derived());
+}
+
+template<typename SparseDerived, typename DenseDerived>
+EIGEN_STRONG_INLINE const CwiseBinaryOp<internal::scalar_sum_op<typename SparseDerived::Scalar,typename DenseDerived::Scalar>, const SparseDerived, const DenseDerived>
+operator+(const SparseMatrixBase<SparseDerived> &a, const MatrixBase<DenseDerived> &b)
+{
+  return CwiseBinaryOp<internal::scalar_sum_op<typename SparseDerived::Scalar,typename DenseDerived::Scalar>, const SparseDerived, const DenseDerived>(a.derived(), b.derived());
+}
+
+template<typename DenseDerived, typename SparseDerived>
+EIGEN_STRONG_INLINE const CwiseBinaryOp<internal::scalar_difference_op<typename DenseDerived::Scalar,typename SparseDerived::Scalar>, const DenseDerived, const SparseDerived>
+operator-(const MatrixBase<DenseDerived> &a, const SparseMatrixBase<SparseDerived> &b)
+{
+  return CwiseBinaryOp<internal::scalar_difference_op<typename DenseDerived::Scalar,typename SparseDerived::Scalar>, const DenseDerived, const SparseDerived>(a.derived(), b.derived());
+}
+
+template<typename SparseDerived, typename DenseDerived>
+EIGEN_STRONG_INLINE const CwiseBinaryOp<internal::scalar_difference_op<typename SparseDerived::Scalar,typename DenseDerived::Scalar>, const SparseDerived, const DenseDerived>
+operator-(const SparseMatrixBase<SparseDerived> &a, const MatrixBase<DenseDerived> &b)
+{
+  return CwiseBinaryOp<internal::scalar_difference_op<typename SparseDerived::Scalar,typename DenseDerived::Scalar>, const SparseDerived, const DenseDerived>(a.derived(), b.derived());
+}
+
+} // end namespace Eigen
+
+#endif // EIGEN_SPARSE_CWISE_BINARY_OP_H
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/SparseCore/SparseTranspose.h
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/SparseCore/SparseTranspose.h	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/SparseCore/SparseTranspose.h	(revision 3761)
@@ -0,0 +1,92 @@
+// This file is part of Eigen, a lightweight C++ template library
+// for linear algebra.
+//
+// Copyright (C) 2008-2015 Gael Guennebaud <gael.guennebaud@inria.fr>
+//
+// This Source Code Form is subject to the terms of the Mozilla
+// Public License v. 2.0. If a copy of the MPL was not distributed
+// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
+
+#ifndef EIGEN_SPARSETRANSPOSE_H
+#define EIGEN_SPARSETRANSPOSE_H
+
+namespace Eigen { 
+
+namespace internal {
+  template<typename MatrixType,int CompressedAccess=int(MatrixType::Flags&CompressedAccessBit)>
+  class SparseTransposeImpl
+    : public SparseMatrixBase<Transpose<MatrixType> >
+  {};
+  
+  template<typename MatrixType>
+  class SparseTransposeImpl<MatrixType,CompressedAccessBit>
+    : public SparseCompressedBase<Transpose<MatrixType> >
+  {
+    typedef SparseCompressedBase<Transpose<MatrixType> > Base;
+  public:
+    using Base::derived;
+    typedef typename Base::Scalar Scalar;
+    typedef typename Base::StorageIndex StorageIndex;
+
+    inline Index nonZeros() const { return derived().nestedExpression().nonZeros(); }
+    
+    inline const Scalar* valuePtr() const { return derived().nestedExpression().valuePtr(); }
+    inline const StorageIndex* innerIndexPtr() const { return derived().nestedExpression().innerIndexPtr(); }
+    inline const StorageIndex* outerIndexPtr() const { return derived().nestedExpression().outerIndexPtr(); }
+    inline const StorageIndex* innerNonZeroPtr() const { return derived().nestedExpression().innerNonZeroPtr(); }
+
+    inline Scalar* valuePtr() { return derived().nestedExpression().valuePtr(); }
+    inline StorageIndex* innerIndexPtr() { return derived().nestedExpression().innerIndexPtr(); }
+    inline StorageIndex* outerIndexPtr() { return derived().nestedExpression().outerIndexPtr(); }
+    inline StorageIndex* innerNonZeroPtr() { return derived().nestedExpression().innerNonZeroPtr(); }
+  };
+}
+  
+template<typename MatrixType> class TransposeImpl<MatrixType,Sparse>
+  : public internal::SparseTransposeImpl<MatrixType>
+{
+  protected:
+    typedef internal::SparseTransposeImpl<MatrixType> Base;
+};
+
+namespace internal {
+  
+template<typename ArgType>
+struct unary_evaluator<Transpose<ArgType>, IteratorBased>
+  : public evaluator_base<Transpose<ArgType> >
+{
+    typedef typename evaluator<ArgType>::InnerIterator        EvalIterator;
+  public:
+    typedef Transpose<ArgType> XprType;
+    
+    inline Index nonZerosEstimate() const {
+      return m_argImpl.nonZerosEstimate();
+    }
+
+    class InnerIterator : public EvalIterator
+    {
+    public:
+      EIGEN_STRONG_INLINE InnerIterator(const unary_evaluator& unaryOp, Index outer)
+        : EvalIterator(unaryOp.m_argImpl,outer)
+      {}
+      
+      Index row() const { return EvalIterator::col(); }
+      Index col() const { return EvalIterator::row(); }
+    };
+    
+    enum {
+      CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
+      Flags = XprType::Flags
+    };
+    
+    explicit unary_evaluator(const XprType& op) :m_argImpl(op.nestedExpression()) {}
+
+  protected:
+    evaluator<ArgType> m_argImpl;
+};
+
+} // end namespace internal
+
+} // end namespace Eigen
+
+#endif // EIGEN_SPARSETRANSPOSE_H
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/SparseCore/SparseDiagonalProduct.h
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/SparseCore/SparseDiagonalProduct.h	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/SparseCore/SparseDiagonalProduct.h	(revision 3761)
@@ -0,0 +1,138 @@
+// This file is part of Eigen, a lightweight C++ template library
+// for linear algebra.
+//
+// Copyright (C) 2009-2015 Gael Guennebaud <gael.guennebaud@inria.fr>
+//
+// This Source Code Form is subject to the terms of the Mozilla
+// Public License v. 2.0. If a copy of the MPL was not distributed
+// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
+
+#ifndef EIGEN_SPARSE_DIAGONAL_PRODUCT_H
+#define EIGEN_SPARSE_DIAGONAL_PRODUCT_H
+
+namespace Eigen { 
+
+// The product of a diagonal matrix with a sparse matrix can be easily
+// implemented using expression template.
+// We have two consider very different cases:
+// 1 - diag * row-major sparse
+//     => each inner vector <=> scalar * sparse vector product
+//     => so we can reuse CwiseUnaryOp::InnerIterator
+// 2 - diag * col-major sparse
+//     => each inner vector <=> densevector * sparse vector cwise product
+//     => again, we can reuse specialization of CwiseBinaryOp::InnerIterator
+//        for that particular case
+// The two other cases are symmetric.
+
+namespace internal {
+
+enum {
+  SDP_AsScalarProduct,
+  SDP_AsCwiseProduct
+};
+  
+template<typename SparseXprType, typename DiagonalCoeffType, int SDP_Tag>
+struct sparse_diagonal_product_evaluator;
+
+template<typename Lhs, typename Rhs, int ProductTag>
+struct product_evaluator<Product<Lhs, Rhs, DefaultProduct>, ProductTag, DiagonalShape, SparseShape>
+  : public sparse_diagonal_product_evaluator<Rhs, typename Lhs::DiagonalVectorType, Rhs::Flags&RowMajorBit?SDP_AsScalarProduct:SDP_AsCwiseProduct>
+{
+  typedef Product<Lhs, Rhs, DefaultProduct> XprType;
+  enum { CoeffReadCost = HugeCost, Flags = Rhs::Flags&RowMajorBit, Alignment = 0 }; // FIXME CoeffReadCost & Flags
+  
+  typedef sparse_diagonal_product_evaluator<Rhs, typename Lhs::DiagonalVectorType, Rhs::Flags&RowMajorBit?SDP_AsScalarProduct:SDP_AsCwiseProduct> Base;
+  explicit product_evaluator(const XprType& xpr) : Base(xpr.rhs(), xpr.lhs().diagonal()) {}
+};
+
+template<typename Lhs, typename Rhs, int ProductTag>
+struct product_evaluator<Product<Lhs, Rhs, DefaultProduct>, ProductTag, SparseShape, DiagonalShape>
+  : public sparse_diagonal_product_evaluator<Lhs, Transpose<const typename Rhs::DiagonalVectorType>, Lhs::Flags&RowMajorBit?SDP_AsCwiseProduct:SDP_AsScalarProduct>
+{
+  typedef Product<Lhs, Rhs, DefaultProduct> XprType;
+  enum { CoeffReadCost = HugeCost, Flags = Lhs::Flags&RowMajorBit, Alignment = 0 }; // FIXME CoeffReadCost & Flags
+  
+  typedef sparse_diagonal_product_evaluator<Lhs, Transpose<const typename Rhs::DiagonalVectorType>, Lhs::Flags&RowMajorBit?SDP_AsCwiseProduct:SDP_AsScalarProduct> Base;
+  explicit product_evaluator(const XprType& xpr) : Base(xpr.lhs(), xpr.rhs().diagonal().transpose()) {}
+};
+
+template<typename SparseXprType, typename DiagonalCoeffType>
+struct sparse_diagonal_product_evaluator<SparseXprType, DiagonalCoeffType, SDP_AsScalarProduct>
+{
+protected:
+  typedef typename evaluator<SparseXprType>::InnerIterator SparseXprInnerIterator;
+  typedef typename SparseXprType::Scalar Scalar;
+  
+public:
+  class InnerIterator : public SparseXprInnerIterator
+  {
+  public:
+    InnerIterator(const sparse_diagonal_product_evaluator &xprEval, Index outer)
+      : SparseXprInnerIterator(xprEval.m_sparseXprImpl, outer),
+        m_coeff(xprEval.m_diagCoeffImpl.coeff(outer))
+    {}
+    
+    EIGEN_STRONG_INLINE Scalar value() const { return m_coeff * SparseXprInnerIterator::value(); }
+  protected:
+    typename DiagonalCoeffType::Scalar m_coeff;
+  };
+  
+  sparse_diagonal_product_evaluator(const SparseXprType &sparseXpr, const DiagonalCoeffType &diagCoeff)
+    : m_sparseXprImpl(sparseXpr), m_diagCoeffImpl(diagCoeff)
+  {}
+
+  Index nonZerosEstimate() const { return m_sparseXprImpl.nonZerosEstimate(); }
+    
+protected:
+  evaluator<SparseXprType> m_sparseXprImpl;
+  evaluator<DiagonalCoeffType> m_diagCoeffImpl;
+};
+
+
+template<typename SparseXprType, typename DiagCoeffType>
+struct sparse_diagonal_product_evaluator<SparseXprType, DiagCoeffType, SDP_AsCwiseProduct>
+{
+  typedef typename SparseXprType::Scalar Scalar;
+  typedef typename SparseXprType::StorageIndex StorageIndex;
+  
+  typedef typename nested_eval<DiagCoeffType,SparseXprType::IsRowMajor ? SparseXprType::RowsAtCompileTime
+                                                                       : SparseXprType::ColsAtCompileTime>::type DiagCoeffNested;
+  
+  class InnerIterator
+  {
+    typedef typename evaluator<SparseXprType>::InnerIterator SparseXprIter;
+  public:
+    InnerIterator(const sparse_diagonal_product_evaluator &xprEval, Index outer)
+      : m_sparseIter(xprEval.m_sparseXprEval, outer), m_diagCoeffNested(xprEval.m_diagCoeffNested)
+    {}
+    
+    inline Scalar value() const { return m_sparseIter.value() * m_diagCoeffNested.coeff(index()); }
+    inline StorageIndex index() const  { return m_sparseIter.index(); }
+    inline Index outer() const  { return m_sparseIter.outer(); }
+    inline Index col() const    { return SparseXprType::IsRowMajor ? m_sparseIter.index() : m_sparseIter.outer(); }
+    inline Index row() const    { return SparseXprType::IsRowMajor ? m_sparseIter.outer() : m_sparseIter.index(); }
+    
+    EIGEN_STRONG_INLINE InnerIterator& operator++() { ++m_sparseIter; return *this; }
+    inline operator bool() const  { return m_sparseIter; }
+    
+  protected:
+    SparseXprIter m_sparseIter;
+    DiagCoeffNested m_diagCoeffNested;
+  };
+  
+  sparse_diagonal_product_evaluator(const SparseXprType &sparseXpr, const DiagCoeffType &diagCoeff)
+    : m_sparseXprEval(sparseXpr), m_diagCoeffNested(diagCoeff)
+  {}
+
+  Index nonZerosEstimate() const { return m_sparseXprEval.nonZerosEstimate(); }
+    
+protected:
+  evaluator<SparseXprType> m_sparseXprEval;
+  DiagCoeffNested m_diagCoeffNested;
+};
+
+} // end namespace internal
+
+} // end namespace Eigen
+
+#endif // EIGEN_SPARSE_DIAGONAL_PRODUCT_H
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/SparseCore/SparseProduct.h
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/SparseCore/SparseProduct.h	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/SparseCore/SparseProduct.h	(revision 3761)
@@ -0,0 +1,169 @@
+// This file is part of Eigen, a lightweight C++ template library
+// for linear algebra.
+//
+// Copyright (C) 2008-2015 Gael Guennebaud <gael.guennebaud@inria.fr>
+//
+// This Source Code Form is subject to the terms of the Mozilla
+// Public License v. 2.0. If a copy of the MPL was not distributed
+// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
+
+#ifndef EIGEN_SPARSEPRODUCT_H
+#define EIGEN_SPARSEPRODUCT_H
+
+namespace Eigen { 
+
+/** \returns an expression of the product of two sparse matrices.
+  * By default a conservative product preserving the symbolic non zeros is performed.
+  * The automatic pruning of the small values can be achieved by calling the pruned() function
+  * in which case a totally different product algorithm is employed:
+  * \code
+  * C = (A*B).pruned();             // supress numerical zeros (exact)
+  * C = (A*B).pruned(ref);
+  * C = (A*B).pruned(ref,epsilon);
+  * \endcode
+  * where \c ref is a meaningful non zero reference value.
+  * */
+template<typename Derived>
+template<typename OtherDerived>
+inline const Product<Derived,OtherDerived,AliasFreeProduct>
+SparseMatrixBase<Derived>::operator*(const SparseMatrixBase<OtherDerived> &other) const
+{
+  return Product<Derived,OtherDerived,AliasFreeProduct>(derived(), other.derived());
+}
+
+namespace internal {
+
+// sparse * sparse
+template<typename Lhs, typename Rhs, int ProductType>
+struct generic_product_impl<Lhs, Rhs, SparseShape, SparseShape, ProductType>
+{
+  template<typename Dest>
+  static void evalTo(Dest& dst, const Lhs& lhs, const Rhs& rhs)
+  {
+    evalTo(dst, lhs, rhs, typename evaluator_traits<Dest>::Shape());
+  }
+
+  // dense += sparse * sparse
+  template<typename Dest,typename ActualLhs>
+  static void addTo(Dest& dst, const ActualLhs& lhs, const Rhs& rhs, typename enable_if<is_same<typename evaluator_traits<Dest>::Shape,DenseShape>::value,int*>::type* = 0)
+  {
+    typedef typename nested_eval<ActualLhs,Dynamic>::type LhsNested;
+    typedef typename nested_eval<Rhs,Dynamic>::type RhsNested;
+    LhsNested lhsNested(lhs);
+    RhsNested rhsNested(rhs);
+    internal::sparse_sparse_to_dense_product_selector<typename remove_all<LhsNested>::type,
+                                                      typename remove_all<RhsNested>::type, Dest>::run(lhsNested,rhsNested,dst);
+  }
+
+  // dense -= sparse * sparse
+  template<typename Dest>
+  static void subTo(Dest& dst, const Lhs& lhs, const Rhs& rhs, typename enable_if<is_same<typename evaluator_traits<Dest>::Shape,DenseShape>::value,int*>::type* = 0)
+  {
+    addTo(dst, -lhs, rhs);
+  }
+
+protected:
+
+  // sparse = sparse * sparse
+  template<typename Dest>
+  static void evalTo(Dest& dst, const Lhs& lhs, const Rhs& rhs, SparseShape)
+  {
+    typedef typename nested_eval<Lhs,Dynamic>::type LhsNested;
+    typedef typename nested_eval<Rhs,Dynamic>::type RhsNested;
+    LhsNested lhsNested(lhs);
+    RhsNested rhsNested(rhs);
+    internal::conservative_sparse_sparse_product_selector<typename remove_all<LhsNested>::type,
+                                                          typename remove_all<RhsNested>::type, Dest>::run(lhsNested,rhsNested,dst);
+  }
+
+  // dense = sparse * sparse
+  template<typename Dest>
+  static void evalTo(Dest& dst, const Lhs& lhs, const Rhs& rhs, DenseShape)
+  {
+    dst.setZero();
+    addTo(dst, lhs, rhs);
+  }
+};
+
+// sparse * sparse-triangular
+template<typename Lhs, typename Rhs, int ProductType>
+struct generic_product_impl<Lhs, Rhs, SparseShape, SparseTriangularShape, ProductType>
+ : public generic_product_impl<Lhs, Rhs, SparseShape, SparseShape, ProductType>
+{};
+
+// sparse-triangular * sparse
+template<typename Lhs, typename Rhs, int ProductType>
+struct generic_product_impl<Lhs, Rhs, SparseTriangularShape, SparseShape, ProductType>
+ : public generic_product_impl<Lhs, Rhs, SparseShape, SparseShape, ProductType>
+{};
+
+// dense = sparse-product (can be sparse*sparse, sparse*perm, etc.)
+template< typename DstXprType, typename Lhs, typename Rhs>
+struct Assignment<DstXprType, Product<Lhs,Rhs,AliasFreeProduct>, internal::assign_op<typename DstXprType::Scalar,typename Product<Lhs,Rhs,AliasFreeProduct>::Scalar>, Sparse2Dense>
+{
+  typedef Product<Lhs,Rhs,AliasFreeProduct> SrcXprType;
+  static void run(DstXprType &dst, const SrcXprType &src, const internal::assign_op<typename DstXprType::Scalar,typename SrcXprType::Scalar> &)
+  {
+    Index dstRows = src.rows();
+    Index dstCols = src.cols();
+    if((dst.rows()!=dstRows) || (dst.cols()!=dstCols))
+      dst.resize(dstRows, dstCols);
+    
+    generic_product_impl<Lhs, Rhs>::evalTo(dst,src.lhs(),src.rhs());
+  }
+};
+
+// dense += sparse-product (can be sparse*sparse, sparse*perm, etc.)
+template< typename DstXprType, typename Lhs, typename Rhs>
+struct Assignment<DstXprType, Product<Lhs,Rhs,AliasFreeProduct>, internal::add_assign_op<typename DstXprType::Scalar,typename Product<Lhs,Rhs,AliasFreeProduct>::Scalar>, Sparse2Dense>
+{
+  typedef Product<Lhs,Rhs,AliasFreeProduct> SrcXprType;
+  static void run(DstXprType &dst, const SrcXprType &src, const internal::add_assign_op<typename DstXprType::Scalar,typename SrcXprType::Scalar> &)
+  {
+    generic_product_impl<Lhs, Rhs>::addTo(dst,src.lhs(),src.rhs());
+  }
+};
+
+// dense -= sparse-product (can be sparse*sparse, sparse*perm, etc.)
+template< typename DstXprType, typename Lhs, typename Rhs>
+struct Assignment<DstXprType, Product<Lhs,Rhs,AliasFreeProduct>, internal::sub_assign_op<typename DstXprType::Scalar,typename Product<Lhs,Rhs,AliasFreeProduct>::Scalar>, Sparse2Dense>
+{
+  typedef Product<Lhs,Rhs,AliasFreeProduct> SrcXprType;
+  static void run(DstXprType &dst, const SrcXprType &src, const internal::sub_assign_op<typename DstXprType::Scalar,typename SrcXprType::Scalar> &)
+  {
+    generic_product_impl<Lhs, Rhs>::subTo(dst,src.lhs(),src.rhs());
+  }
+};
+
+template<typename Lhs, typename Rhs, int Options>
+struct unary_evaluator<SparseView<Product<Lhs, Rhs, Options> >, IteratorBased>
+ : public evaluator<typename Product<Lhs, Rhs, DefaultProduct>::PlainObject>
+{
+  typedef SparseView<Product<Lhs, Rhs, Options> > XprType;
+  typedef typename XprType::PlainObject PlainObject;
+  typedef evaluator<PlainObject> Base;
+
+  explicit unary_evaluator(const XprType& xpr)
+    : m_result(xpr.rows(), xpr.cols())
+  {
+    using std::abs;
+    ::new (static_cast<Base*>(this)) Base(m_result);
+    typedef typename nested_eval<Lhs,Dynamic>::type LhsNested;
+    typedef typename nested_eval<Rhs,Dynamic>::type RhsNested;
+    LhsNested lhsNested(xpr.nestedExpression().lhs());
+    RhsNested rhsNested(xpr.nestedExpression().rhs());
+
+    internal::sparse_sparse_product_with_pruning_selector<typename remove_all<LhsNested>::type,
+                                                          typename remove_all<RhsNested>::type, PlainObject>::run(lhsNested,rhsNested,m_result,
+                                                                                                                  abs(xpr.reference())*xpr.epsilon());
+  }
+
+protected:
+  PlainObject m_result;
+};
+
+} // end namespace internal
+
+} // end namespace Eigen
+
+#endif // EIGEN_SPARSEPRODUCT_H
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/SparseCore/SparseAssign.h
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/SparseCore/SparseAssign.h	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/SparseCore/SparseAssign.h	(revision 3761)
@@ -0,0 +1,216 @@
+// This file is part of Eigen, a lightweight C++ template library
+// for linear algebra.
+//
+// Copyright (C) 2008-2014 Gael Guennebaud <gael.guennebaud@inria.fr>
+//
+// This Source Code Form is subject to the terms of the Mozilla
+// Public License v. 2.0. If a copy of the MPL was not distributed
+// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
+
+#ifndef EIGEN_SPARSEASSIGN_H
+#define EIGEN_SPARSEASSIGN_H
+
+namespace Eigen { 
+
+template<typename Derived>    
+template<typename OtherDerived>
+Derived& SparseMatrixBase<Derived>::operator=(const EigenBase<OtherDerived> &other)
+{
+  internal::call_assignment_no_alias(derived(), other.derived());
+  return derived();
+}
+
+template<typename Derived>
+template<typename OtherDerived>
+Derived& SparseMatrixBase<Derived>::operator=(const ReturnByValue<OtherDerived>& other)
+{
+  // TODO use the evaluator mechanism
+  other.evalTo(derived());
+  return derived();
+}
+
+template<typename Derived>
+template<typename OtherDerived>
+inline Derived& SparseMatrixBase<Derived>::operator=(const SparseMatrixBase<OtherDerived>& other)
+{
+  // by default sparse evaluation do not alias, so we can safely bypass the generic call_assignment routine
+  internal::Assignment<Derived,OtherDerived,internal::assign_op<Scalar,typename OtherDerived::Scalar> >
+          ::run(derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
+  return derived();
+}
+
+template<typename Derived>
+inline Derived& SparseMatrixBase<Derived>::operator=(const Derived& other)
+{
+  internal::call_assignment_no_alias(derived(), other.derived());
+  return derived();
+}
+
+namespace internal {
+
+template<>
+struct storage_kind_to_evaluator_kind<Sparse> {
+  typedef IteratorBased Kind;
+};
+
+template<>
+struct storage_kind_to_shape<Sparse> {
+  typedef SparseShape Shape;
+};
+
+struct Sparse2Sparse {};
+struct Sparse2Dense  {};
+
+template<> struct AssignmentKind<SparseShape, SparseShape>           { typedef Sparse2Sparse Kind; };
+template<> struct AssignmentKind<SparseShape, SparseTriangularShape> { typedef Sparse2Sparse Kind; };
+template<> struct AssignmentKind<DenseShape,  SparseShape>           { typedef Sparse2Dense  Kind; };
+template<> struct AssignmentKind<DenseShape,  SparseTriangularShape> { typedef Sparse2Dense  Kind; };
+
+
+template<typename DstXprType, typename SrcXprType>
+void assign_sparse_to_sparse(DstXprType &dst, const SrcXprType &src)
+{
+  typedef typename DstXprType::Scalar Scalar;
+  typedef internal::evaluator<DstXprType> DstEvaluatorType;
+  typedef internal::evaluator<SrcXprType> SrcEvaluatorType;
+
+  SrcEvaluatorType srcEvaluator(src);
+
+  const bool transpose = (DstEvaluatorType::Flags & RowMajorBit) != (SrcEvaluatorType::Flags & RowMajorBit);
+  const Index outerEvaluationSize = (SrcEvaluatorType::Flags&RowMajorBit) ? src.rows() : src.cols();
+  if ((!transpose) && src.isRValue())
+  {
+    // eval without temporary
+    dst.resize(src.rows(), src.cols());
+    dst.setZero();
+    dst.reserve((std::max)(src.rows(),src.cols())*2);
+    for (Index j=0; j<outerEvaluationSize; ++j)
+    {
+      dst.startVec(j);
+      for (typename SrcEvaluatorType::InnerIterator it(srcEvaluator, j); it; ++it)
+      {
+        Scalar v = it.value();
+        dst.insertBackByOuterInner(j,it.index()) = v;
+      }
+    }
+    dst.finalize();
+  }
+  else
+  {
+    // eval through a temporary
+    eigen_assert(( ((internal::traits<DstXprType>::SupportedAccessPatterns & OuterRandomAccessPattern)==OuterRandomAccessPattern) ||
+              (!((DstEvaluatorType::Flags & RowMajorBit) != (SrcEvaluatorType::Flags & RowMajorBit)))) &&
+              "the transpose operation is supposed to be handled in SparseMatrix::operator=");
+
+    enum { Flip = (DstEvaluatorType::Flags & RowMajorBit) != (SrcEvaluatorType::Flags & RowMajorBit) };
+
+    
+    DstXprType temp(src.rows(), src.cols());
+
+    temp.reserve((std::max)(src.rows(),src.cols())*2);
+    for (Index j=0; j<outerEvaluationSize; ++j)
+    {
+      temp.startVec(j);
+      for (typename SrcEvaluatorType::InnerIterator it(srcEvaluator, j); it; ++it)
+      {
+        Scalar v = it.value();
+        temp.insertBackByOuterInner(Flip?it.index():j,Flip?j:it.index()) = v;
+      }
+    }
+    temp.finalize();
+
+    dst = temp.markAsRValue();
+  }
+}
+
+// Generic Sparse to Sparse assignment
+template< typename DstXprType, typename SrcXprType, typename Functor>
+struct Assignment<DstXprType, SrcXprType, Functor, Sparse2Sparse>
+{
+  static void run(DstXprType &dst, const SrcXprType &src, const internal::assign_op<typename DstXprType::Scalar,typename SrcXprType::Scalar> &/*func*/)
+  {
+    assign_sparse_to_sparse(dst.derived(), src.derived());
+  }
+};
+
+// Generic Sparse to Dense assignment
+template< typename DstXprType, typename SrcXprType, typename Functor>
+struct Assignment<DstXprType, SrcXprType, Functor, Sparse2Dense>
+{
+  static void run(DstXprType &dst, const SrcXprType &src, const Functor &func)
+  {
+    if(internal::is_same<Functor,internal::assign_op<typename DstXprType::Scalar,typename SrcXprType::Scalar> >::value)
+      dst.setZero();
+    
+    internal::evaluator<SrcXprType> srcEval(src);
+    resize_if_allowed(dst, src, func);
+    internal::evaluator<DstXprType> dstEval(dst);
+    
+    const Index outerEvaluationSize = (internal::evaluator<SrcXprType>::Flags&RowMajorBit) ? src.rows() : src.cols();
+    for (Index j=0; j<outerEvaluationSize; ++j)
+      for (typename internal::evaluator<SrcXprType>::InnerIterator i(srcEval,j); i; ++i)
+        func.assignCoeff(dstEval.coeffRef(i.row(),i.col()), i.value());
+  }
+};
+
+// Specialization for "dst = dec.solve(rhs)"
+// NOTE we need to specialize it for Sparse2Sparse to avoid ambiguous specialization error
+template<typename DstXprType, typename DecType, typename RhsType, typename Scalar>
+struct Assignment<DstXprType, Solve<DecType,RhsType>, internal::assign_op<Scalar,Scalar>, Sparse2Sparse>
+{
+  typedef Solve<DecType,RhsType> SrcXprType;
+  static void run(DstXprType &dst, const SrcXprType &src, const internal::assign_op<Scalar,Scalar> &)
+  {
+    Index dstRows = src.rows();
+    Index dstCols = src.cols();
+    if((dst.rows()!=dstRows) || (dst.cols()!=dstCols))
+      dst.resize(dstRows, dstCols);
+
+    src.dec()._solve_impl(src.rhs(), dst);
+  }
+};
+
+struct Diagonal2Sparse {};
+
+template<> struct AssignmentKind<SparseShape,DiagonalShape> { typedef Diagonal2Sparse Kind; };
+
+template< typename DstXprType, typename SrcXprType, typename Functor>
+struct Assignment<DstXprType, SrcXprType, Functor, Diagonal2Sparse>
+{
+  typedef typename DstXprType::StorageIndex StorageIndex;
+  typedef typename DstXprType::Scalar Scalar;
+  typedef Array<StorageIndex,Dynamic,1> ArrayXI;
+  typedef Array<Scalar,Dynamic,1> ArrayXS;
+  template<int Options>
+  static void run(SparseMatrix<Scalar,Options,StorageIndex> &dst, const SrcXprType &src, const internal::assign_op<typename DstXprType::Scalar,typename SrcXprType::Scalar> &/*func*/)
+  {
+    Index dstRows = src.rows();
+    Index dstCols = src.cols();
+    if((dst.rows()!=dstRows) || (dst.cols()!=dstCols))
+      dst.resize(dstRows, dstCols);
+
+    Index size = src.diagonal().size();
+    dst.makeCompressed();
+    dst.resizeNonZeros(size);
+    Map<ArrayXI>(dst.innerIndexPtr(), size).setLinSpaced(0,StorageIndex(size)-1);
+    Map<ArrayXI>(dst.outerIndexPtr(), size+1).setLinSpaced(0,StorageIndex(size));
+    Map<ArrayXS>(dst.valuePtr(), size) = src.diagonal();
+  }
+  
+  template<typename DstDerived>
+  static void run(SparseMatrixBase<DstDerived> &dst, const SrcXprType &src, const internal::assign_op<typename DstXprType::Scalar,typename SrcXprType::Scalar> &/*func*/)
+  {
+    dst.diagonal() = src.diagonal();
+  }
+  
+  static void run(DstXprType &dst, const SrcXprType &src, const internal::add_assign_op<typename DstXprType::Scalar,typename SrcXprType::Scalar> &/*func*/)
+  { dst.diagonal() += src.diagonal(); }
+  
+  static void run(DstXprType &dst, const SrcXprType &src, const internal::sub_assign_op<typename DstXprType::Scalar,typename SrcXprType::Scalar> &/*func*/)
+  { dst.diagonal() -= src.diagonal(); }
+};
+} // end namespace internal
+
+} // end namespace Eigen
+
+#endif // EIGEN_SPARSEASSIGN_H
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/SparseCore/TriangularSolver.h
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/SparseCore/TriangularSolver.h	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/SparseCore/TriangularSolver.h	(revision 3761)
@@ -0,0 +1,315 @@
+// This file is part of Eigen, a lightweight C++ template library
+// for linear algebra.
+//
+// Copyright (C) 2008 Gael Guennebaud <gael.guennebaud@inria.fr>
+//
+// This Source Code Form is subject to the terms of the Mozilla
+// Public License v. 2.0. If a copy of the MPL was not distributed
+// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
+
+#ifndef EIGEN_SPARSETRIANGULARSOLVER_H
+#define EIGEN_SPARSETRIANGULARSOLVER_H
+
+namespace Eigen { 
+
+namespace internal {
+
+template<typename Lhs, typename Rhs, int Mode,
+  int UpLo = (Mode & Lower)
+           ? Lower
+           : (Mode & Upper)
+           ? Upper
+           : -1,
+  int StorageOrder = int(traits<Lhs>::Flags) & RowMajorBit>
+struct sparse_solve_triangular_selector;
+
+// forward substitution, row-major
+template<typename Lhs, typename Rhs, int Mode>
+struct sparse_solve_triangular_selector<Lhs,Rhs,Mode,Lower,RowMajor>
+{
+  typedef typename Rhs::Scalar Scalar;
+  typedef evaluator<Lhs> LhsEval;
+  typedef typename evaluator<Lhs>::InnerIterator LhsIterator;
+  static void run(const Lhs& lhs, Rhs& other)
+  {
+    LhsEval lhsEval(lhs);
+    for(Index col=0 ; col<other.cols() ; ++col)
+    {
+      for(Index i=0; i<lhs.rows(); ++i)
+      {
+        Scalar tmp = other.coeff(i,col);
+        Scalar lastVal(0);
+        Index lastIndex = 0;
+        for(LhsIterator it(lhsEval, i); it; ++it)
+        {
+          lastVal = it.value();
+          lastIndex = it.index();
+          if(lastIndex==i)
+            break;
+          tmp -= lastVal * other.coeff(lastIndex,col);
+        }
+        if (Mode & UnitDiag)
+          other.coeffRef(i,col) = tmp;
+        else
+        {
+          eigen_assert(lastIndex==i);
+          other.coeffRef(i,col) = tmp/lastVal;
+        }
+      }
+    }
+  }
+};
+
+// backward substitution, row-major
+template<typename Lhs, typename Rhs, int Mode>
+struct sparse_solve_triangular_selector<Lhs,Rhs,Mode,Upper,RowMajor>
+{
+  typedef typename Rhs::Scalar Scalar;
+  typedef evaluator<Lhs> LhsEval;
+  typedef typename evaluator<Lhs>::InnerIterator LhsIterator;
+  static void run(const Lhs& lhs, Rhs& other)
+  {
+    LhsEval lhsEval(lhs);
+    for(Index col=0 ; col<other.cols() ; ++col)
+    {
+      for(Index i=lhs.rows()-1 ; i>=0 ; --i)
+      {
+        Scalar tmp = other.coeff(i,col);
+        Scalar l_ii(0);
+        LhsIterator it(lhsEval, i);
+        while(it && it.index()<i)
+          ++it;
+        if(!(Mode & UnitDiag))
+        {
+          eigen_assert(it && it.index()==i);
+          l_ii = it.value();
+          ++it;
+        }
+        else if (it && it.index() == i)
+          ++it;
+        for(; it; ++it)
+        {
+          tmp -= it.value() * other.coeff(it.index(),col);
+        }
+
+        if (Mode & UnitDiag)  other.coeffRef(i,col) = tmp;
+        else                  other.coeffRef(i,col) = tmp/l_ii;
+      }
+    }
+  }
+};
+
+// forward substitution, col-major
+template<typename Lhs, typename Rhs, int Mode>
+struct sparse_solve_triangular_selector<Lhs,Rhs,Mode,Lower,ColMajor>
+{
+  typedef typename Rhs::Scalar Scalar;
+  typedef evaluator<Lhs> LhsEval;
+  typedef typename evaluator<Lhs>::InnerIterator LhsIterator;
+  static void run(const Lhs& lhs, Rhs& other)
+  {
+    LhsEval lhsEval(lhs);
+    for(Index col=0 ; col<other.cols() ; ++col)
+    {
+      for(Index i=0; i<lhs.cols(); ++i)
+      {
+        Scalar& tmp = other.coeffRef(i,col);
+        if (tmp!=Scalar(0)) // optimization when other is actually sparse
+        {
+          LhsIterator it(lhsEval, i);
+          while(it && it.index()<i)
+            ++it;
+          if(!(Mode & UnitDiag))
+          {
+            eigen_assert(it && it.index()==i);
+            tmp /= it.value();
+          }
+          if (it && it.index()==i)
+            ++it;
+          for(; it; ++it)
+            other.coeffRef(it.index(), col) -= tmp * it.value();
+        }
+      }
+    }
+  }
+};
+
+// backward substitution, col-major
+template<typename Lhs, typename Rhs, int Mode>
+struct sparse_solve_triangular_selector<Lhs,Rhs,Mode,Upper,ColMajor>
+{
+  typedef typename Rhs::Scalar Scalar;
+  typedef evaluator<Lhs> LhsEval;
+  typedef typename evaluator<Lhs>::InnerIterator LhsIterator;
+  static void run(const Lhs& lhs, Rhs& other)
+  {
+    LhsEval lhsEval(lhs);
+    for(Index col=0 ; col<other.cols() ; ++col)
+    {
+      for(Index i=lhs.cols()-1; i>=0; --i)
+      {
+        Scalar& tmp = other.coeffRef(i,col);
+        if (tmp!=Scalar(0)) // optimization when other is actually sparse
+        {
+          if(!(Mode & UnitDiag))
+          {
+            // TODO replace this by a binary search. make sure the binary search is safe for partially sorted elements
+            LhsIterator it(lhsEval, i);
+            while(it && it.index()!=i)
+              ++it;
+            eigen_assert(it && it.index()==i);
+            other.coeffRef(i,col) /= it.value();
+          }
+          LhsIterator it(lhsEval, i);
+          for(; it && it.index()<i; ++it)
+            other.coeffRef(it.index(), col) -= tmp * it.value();
+        }
+      }
+    }
+  }
+};
+
+} // end namespace internal
+
+#ifndef EIGEN_PARSED_BY_DOXYGEN
+
+template<typename ExpressionType,unsigned int Mode>
+template<typename OtherDerived>
+void TriangularViewImpl<ExpressionType,Mode,Sparse>::solveInPlace(MatrixBase<OtherDerived>& other) const
+{
+  eigen_assert(derived().cols() == derived().rows() && derived().cols() == other.rows());
+  eigen_assert((!(Mode & ZeroDiag)) && bool(Mode & (Upper|Lower)));
+
+  enum { copy = internal::traits<OtherDerived>::Flags & RowMajorBit };
+
+  typedef typename internal::conditional<copy,
+    typename internal::plain_matrix_type_column_major<OtherDerived>::type, OtherDerived&>::type OtherCopy;
+  OtherCopy otherCopy(other.derived());
+
+  internal::sparse_solve_triangular_selector<ExpressionType, typename internal::remove_reference<OtherCopy>::type, Mode>::run(derived().nestedExpression(), otherCopy);
+
+  if (copy)
+    other = otherCopy;
+}
+#endif
+
+// pure sparse path
+
+namespace internal {
+
+template<typename Lhs, typename Rhs, int Mode,
+  int UpLo = (Mode & Lower)
+           ? Lower
+           : (Mode & Upper)
+           ? Upper
+           : -1,
+  int StorageOrder = int(Lhs::Flags) & (RowMajorBit)>
+struct sparse_solve_triangular_sparse_selector;
+
+// forward substitution, col-major
+template<typename Lhs, typename Rhs, int Mode, int UpLo>
+struct sparse_solve_triangular_sparse_selector<Lhs,Rhs,Mode,UpLo,ColMajor>
+{
+  typedef typename Rhs::Scalar Scalar;
+  typedef typename promote_index_type<typename traits<Lhs>::StorageIndex,
+                                      typename traits<Rhs>::StorageIndex>::type StorageIndex;
+  static void run(const Lhs& lhs, Rhs& other)
+  {
+    const bool IsLower = (UpLo==Lower);
+    AmbiVector<Scalar,StorageIndex> tempVector(other.rows()*2);
+    tempVector.setBounds(0,other.rows());
+
+    Rhs res(other.rows(), other.cols());
+    res.reserve(other.nonZeros());
+
+    for(Index col=0 ; col<other.cols() ; ++col)
+    {
+      // FIXME estimate number of non zeros
+      tempVector.init(.99/*float(other.col(col).nonZeros())/float(other.rows())*/);
+      tempVector.setZero();
+      tempVector.restart();
+      for (typename Rhs::InnerIterator rhsIt(other, col); rhsIt; ++rhsIt)
+      {
+        tempVector.coeffRef(rhsIt.index()) = rhsIt.value();
+      }
+
+      for(Index i=IsLower?0:lhs.cols()-1;
+          IsLower?i<lhs.cols():i>=0;
+          i+=IsLower?1:-1)
+      {
+        tempVector.restart();
+        Scalar& ci = tempVector.coeffRef(i);
+        if (ci!=Scalar(0))
+        {
+          // find
+          typename Lhs::InnerIterator it(lhs, i);
+          if(!(Mode & UnitDiag))
+          {
+            if (IsLower)
+            {
+              eigen_assert(it.index()==i);
+              ci /= it.value();
+            }
+            else
+              ci /= lhs.coeff(i,i);
+          }
+          tempVector.restart();
+          if (IsLower)
+          {
+            if (it.index()==i)
+              ++it;
+            for(; it; ++it)
+              tempVector.coeffRef(it.index()) -= ci * it.value();
+          }
+          else
+          {
+            for(; it && it.index()<i; ++it)
+              tempVector.coeffRef(it.index()) -= ci * it.value();
+          }
+        }
+      }
+
+
+      Index count = 0;
+      // FIXME compute a reference value to filter zeros
+      for (typename AmbiVector<Scalar,StorageIndex>::Iterator it(tempVector/*,1e-12*/); it; ++it)
+      {
+        ++ count;
+//         std::cerr << "fill " << it.index() << ", " << col << "\n";
+//         std::cout << it.value() << "  ";
+        // FIXME use insertBack
+        res.insert(it.index(), col) = it.value();
+      }
+//       std::cout << "tempVector.nonZeros() == " << int(count) << " / " << (other.rows()) << "\n";
+    }
+    res.finalize();
+    other = res.markAsRValue();
+  }
+};
+
+} // end namespace internal
+
+#ifndef EIGEN_PARSED_BY_DOXYGEN
+template<typename ExpressionType,unsigned int Mode>
+template<typename OtherDerived>
+void TriangularViewImpl<ExpressionType,Mode,Sparse>::solveInPlace(SparseMatrixBase<OtherDerived>& other) const
+{
+  eigen_assert(derived().cols() == derived().rows() && derived().cols() == other.rows());
+  eigen_assert( (!(Mode & ZeroDiag)) && bool(Mode & (Upper|Lower)));
+
+//   enum { copy = internal::traits<OtherDerived>::Flags & RowMajorBit };
+
+//   typedef typename internal::conditional<copy,
+//     typename internal::plain_matrix_type_column_major<OtherDerived>::type, OtherDerived&>::type OtherCopy;
+//   OtherCopy otherCopy(other.derived());
+
+  internal::sparse_solve_triangular_sparse_selector<ExpressionType, OtherDerived, Mode>::run(derived().nestedExpression(), other.derived());
+
+//   if (copy)
+//     other = otherCopy;
+}
+#endif
+
+} // end namespace Eigen
+
+#endif // EIGEN_SPARSETRIANGULARSOLVER_H
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/SparseCore/SparseDot.h
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/SparseCore/SparseDot.h	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/SparseCore/SparseDot.h	(revision 3761)
@@ -0,0 +1,98 @@
+// This file is part of Eigen, a lightweight C++ template library
+// for linear algebra.
+//
+// Copyright (C) 2008 Gael Guennebaud <gael.guennebaud@inria.fr>
+//
+// This Source Code Form is subject to the terms of the Mozilla
+// Public License v. 2.0. If a copy of the MPL was not distributed
+// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
+
+#ifndef EIGEN_SPARSE_DOT_H
+#define EIGEN_SPARSE_DOT_H
+
+namespace Eigen { 
+
+template<typename Derived>
+template<typename OtherDerived>
+typename internal::traits<Derived>::Scalar
+SparseMatrixBase<Derived>::dot(const MatrixBase<OtherDerived>& other) const
+{
+  EIGEN_STATIC_ASSERT_VECTOR_ONLY(Derived)
+  EIGEN_STATIC_ASSERT_VECTOR_ONLY(OtherDerived)
+  EIGEN_STATIC_ASSERT_SAME_VECTOR_SIZE(Derived,OtherDerived)
+  EIGEN_STATIC_ASSERT((internal::is_same<Scalar, typename OtherDerived::Scalar>::value),
+    YOU_MIXED_DIFFERENT_NUMERIC_TYPES__YOU_NEED_TO_USE_THE_CAST_METHOD_OF_MATRIXBASE_TO_CAST_NUMERIC_TYPES_EXPLICITLY)
+
+  eigen_assert(size() == other.size());
+  eigen_assert(other.size()>0 && "you are using a non initialized vector");
+
+  internal::evaluator<Derived> thisEval(derived());
+  typename internal::evaluator<Derived>::InnerIterator i(thisEval, 0);
+  Scalar res(0);
+  while (i)
+  {
+    res += numext::conj(i.value()) * other.coeff(i.index());
+    ++i;
+  }
+  return res;
+}
+
+template<typename Derived>
+template<typename OtherDerived>
+typename internal::traits<Derived>::Scalar
+SparseMatrixBase<Derived>::dot(const SparseMatrixBase<OtherDerived>& other) const
+{
+  EIGEN_STATIC_ASSERT_VECTOR_ONLY(Derived)
+  EIGEN_STATIC_ASSERT_VECTOR_ONLY(OtherDerived)
+  EIGEN_STATIC_ASSERT_SAME_VECTOR_SIZE(Derived,OtherDerived)
+  EIGEN_STATIC_ASSERT((internal::is_same<Scalar, typename OtherDerived::Scalar>::value),
+    YOU_MIXED_DIFFERENT_NUMERIC_TYPES__YOU_NEED_TO_USE_THE_CAST_METHOD_OF_MATRIXBASE_TO_CAST_NUMERIC_TYPES_EXPLICITLY)
+
+  eigen_assert(size() == other.size());
+
+  internal::evaluator<Derived> thisEval(derived());
+  typename internal::evaluator<Derived>::InnerIterator i(thisEval, 0);
+  
+  internal::evaluator<OtherDerived>  otherEval(other.derived());
+  typename internal::evaluator<OtherDerived>::InnerIterator j(otherEval, 0);
+
+  Scalar res(0);
+  while (i && j)
+  {
+    if (i.index()==j.index())
+    {
+      res += numext::conj(i.value()) * j.value();
+      ++i; ++j;
+    }
+    else if (i.index()<j.index())
+      ++i;
+    else
+      ++j;
+  }
+  return res;
+}
+
+template<typename Derived>
+inline typename NumTraits<typename internal::traits<Derived>::Scalar>::Real
+SparseMatrixBase<Derived>::squaredNorm() const
+{
+  return numext::real((*this).cwiseAbs2().sum());
+}
+
+template<typename Derived>
+inline typename NumTraits<typename internal::traits<Derived>::Scalar>::Real
+SparseMatrixBase<Derived>::norm() const
+{
+  using std::sqrt;
+  return sqrt(squaredNorm());
+}
+
+template<typename Derived>
+inline typename NumTraits<typename internal::traits<Derived>::Scalar>::Real
+SparseMatrixBase<Derived>::blueNorm() const
+{
+  return internal::blueNorm_impl(*this);
+}
+} // end namespace Eigen
+
+#endif // EIGEN_SPARSE_DOT_H
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/SparseCore/SparseFuzzy.h
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/SparseCore/SparseFuzzy.h	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/SparseCore/SparseFuzzy.h	(revision 3761)
@@ -0,0 +1,29 @@
+// This file is part of Eigen, a lightweight C++ template library
+// for linear algebra.
+//
+// Copyright (C) 2008-2014 Gael Guennebaud <gael.guennebaud@inria.fr>
+//
+// This Source Code Form is subject to the terms of the Mozilla
+// Public License v. 2.0. If a copy of the MPL was not distributed
+// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
+
+#ifndef EIGEN_SPARSE_FUZZY_H
+#define EIGEN_SPARSE_FUZZY_H
+
+namespace Eigen {
+  
+template<typename Derived>
+template<typename OtherDerived>
+bool SparseMatrixBase<Derived>::isApprox(const SparseMatrixBase<OtherDerived>& other, const RealScalar &prec) const
+{
+  const typename internal::nested_eval<Derived,2,PlainObject>::type actualA(derived());
+  typename internal::conditional<bool(IsRowMajor)==bool(OtherDerived::IsRowMajor),
+    const typename internal::nested_eval<OtherDerived,2,PlainObject>::type,
+    const PlainObject>::type actualB(other.derived());
+
+  return (actualA - actualB).squaredNorm() <= prec * prec * numext::mini(actualA.squaredNorm(), actualB.squaredNorm());
+}
+
+} // end namespace Eigen
+
+#endif // EIGEN_SPARSE_FUZZY_H
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/SparseCore/ConservativeSparseSparseProduct.h
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/SparseCore/ConservativeSparseSparseProduct.h	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/SparseCore/ConservativeSparseSparseProduct.h	(revision 3761)
@@ -0,0 +1,352 @@
+// This file is part of Eigen, a lightweight C++ template library
+// for linear algebra.
+//
+// Copyright (C) 2008-2015 Gael Guennebaud <gael.guennebaud@inria.fr>
+//
+// This Source Code Form is subject to the terms of the Mozilla
+// Public License v. 2.0. If a copy of the MPL was not distributed
+// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
+
+#ifndef EIGEN_CONSERVATIVESPARSESPARSEPRODUCT_H
+#define EIGEN_CONSERVATIVESPARSESPARSEPRODUCT_H
+
+namespace Eigen { 
+
+namespace internal {
+
+template<typename Lhs, typename Rhs, typename ResultType>
+static void conservative_sparse_sparse_product_impl(const Lhs& lhs, const Rhs& rhs, ResultType& res, bool sortedInsertion = false)
+{
+  typedef typename remove_all<Lhs>::type::Scalar LhsScalar;
+  typedef typename remove_all<Rhs>::type::Scalar RhsScalar;
+  typedef typename remove_all<ResultType>::type::Scalar ResScalar;
+
+  // make sure to call innerSize/outerSize since we fake the storage order.
+  Index rows = lhs.innerSize();
+  Index cols = rhs.outerSize();
+  eigen_assert(lhs.outerSize() == rhs.innerSize());
+  
+  ei_declare_aligned_stack_constructed_variable(bool,   mask,     rows, 0);
+  ei_declare_aligned_stack_constructed_variable(ResScalar, values,   rows, 0);
+  ei_declare_aligned_stack_constructed_variable(Index,  indices,  rows, 0);
+  
+  std::memset(mask,0,sizeof(bool)*rows);
+
+  evaluator<Lhs> lhsEval(lhs);
+  evaluator<Rhs> rhsEval(rhs);
+  
+  // estimate the number of non zero entries
+  // given a rhs column containing Y non zeros, we assume that the respective Y columns
+  // of the lhs differs in average of one non zeros, thus the number of non zeros for
+  // the product of a rhs column with the lhs is X+Y where X is the average number of non zero
+  // per column of the lhs.
+  // Therefore, we have nnz(lhs*rhs) = nnz(lhs) + nnz(rhs)
+  Index estimated_nnz_prod = lhsEval.nonZerosEstimate() + rhsEval.nonZerosEstimate();
+
+  res.setZero();
+  res.reserve(Index(estimated_nnz_prod));
+  // we compute each column of the result, one after the other
+  for (Index j=0; j<cols; ++j)
+  {
+
+    res.startVec(j);
+    Index nnz = 0;
+    for (typename evaluator<Rhs>::InnerIterator rhsIt(rhsEval, j); rhsIt; ++rhsIt)
+    {
+      RhsScalar y = rhsIt.value();
+      Index k = rhsIt.index();
+      for (typename evaluator<Lhs>::InnerIterator lhsIt(lhsEval, k); lhsIt; ++lhsIt)
+      {
+        Index i = lhsIt.index();
+        LhsScalar x = lhsIt.value();
+        if(!mask[i])
+        {
+          mask[i] = true;
+          values[i] = x * y;
+          indices[nnz] = i;
+          ++nnz;
+        }
+        else
+          values[i] += x * y;
+      }
+    }
+    if(!sortedInsertion)
+    {
+      // unordered insertion
+      for(Index k=0; k<nnz; ++k)
+      {
+        Index i = indices[k];
+        res.insertBackByOuterInnerUnordered(j,i) = values[i];
+        mask[i] = false;
+      }
+    }
+    else
+    {
+      // alternative ordered insertion code:
+      const Index t200 = rows/11; // 11 == (log2(200)*1.39)
+      const Index t = (rows*100)/139;
+
+      // FIXME reserve nnz non zeros
+      // FIXME implement faster sorting algorithms for very small nnz
+      // if the result is sparse enough => use a quick sort
+      // otherwise => loop through the entire vector
+      // In order to avoid to perform an expensive log2 when the
+      // result is clearly very sparse we use a linear bound up to 200.
+      if((nnz<200 && nnz<t200) || nnz * numext::log2(int(nnz)) < t)
+      {
+        if(nnz>1) std::sort(indices,indices+nnz);
+        for(Index k=0; k<nnz; ++k)
+        {
+          Index i = indices[k];
+          res.insertBackByOuterInner(j,i) = values[i];
+          mask[i] = false;
+        }
+      }
+      else
+      {
+        // dense path
+        for(Index i=0; i<rows; ++i)
+        {
+          if(mask[i])
+          {
+            mask[i] = false;
+            res.insertBackByOuterInner(j,i) = values[i];
+          }
+        }
+      }
+    }
+  }
+  res.finalize();
+}
+
+
+} // end namespace internal
+
+namespace internal {
+
+template<typename Lhs, typename Rhs, typename ResultType,
+  int LhsStorageOrder = (traits<Lhs>::Flags&RowMajorBit) ? RowMajor : ColMajor,
+  int RhsStorageOrder = (traits<Rhs>::Flags&RowMajorBit) ? RowMajor : ColMajor,
+  int ResStorageOrder = (traits<ResultType>::Flags&RowMajorBit) ? RowMajor : ColMajor>
+struct conservative_sparse_sparse_product_selector;
+
+template<typename Lhs, typename Rhs, typename ResultType>
+struct conservative_sparse_sparse_product_selector<Lhs,Rhs,ResultType,ColMajor,ColMajor,ColMajor>
+{
+  typedef typename remove_all<Lhs>::type LhsCleaned;
+  typedef typename LhsCleaned::Scalar Scalar;
+
+  static void run(const Lhs& lhs, const Rhs& rhs, ResultType& res)
+  {
+    typedef SparseMatrix<typename ResultType::Scalar,RowMajor,typename ResultType::StorageIndex> RowMajorMatrix;
+    typedef SparseMatrix<typename ResultType::Scalar,ColMajor,typename ResultType::StorageIndex> ColMajorMatrixAux;
+    typedef typename sparse_eval<ColMajorMatrixAux,ResultType::RowsAtCompileTime,ResultType::ColsAtCompileTime,ColMajorMatrixAux::Flags>::type ColMajorMatrix;
+    
+    // If the result is tall and thin (in the extreme case a column vector)
+    // then it is faster to sort the coefficients inplace instead of transposing twice.
+    // FIXME, the following heuristic is probably not very good.
+    if(lhs.rows()>rhs.cols())
+    {
+      ColMajorMatrix resCol(lhs.rows(),rhs.cols());
+      // perform sorted insertion
+      internal::conservative_sparse_sparse_product_impl<Lhs,Rhs,ColMajorMatrix>(lhs, rhs, resCol, true);
+      res = resCol.markAsRValue();
+    }
+    else
+    {
+      ColMajorMatrixAux resCol(lhs.rows(),rhs.cols());
+      // ressort to transpose to sort the entries
+      internal::conservative_sparse_sparse_product_impl<Lhs,Rhs,ColMajorMatrixAux>(lhs, rhs, resCol, false);
+      RowMajorMatrix resRow(resCol);
+      res = resRow.markAsRValue();
+    }
+  }
+};
+
+template<typename Lhs, typename Rhs, typename ResultType>
+struct conservative_sparse_sparse_product_selector<Lhs,Rhs,ResultType,RowMajor,ColMajor,ColMajor>
+{
+  static void run(const Lhs& lhs, const Rhs& rhs, ResultType& res)
+  {
+    typedef SparseMatrix<typename Rhs::Scalar,RowMajor,typename ResultType::StorageIndex> RowMajorRhs;
+    typedef SparseMatrix<typename ResultType::Scalar,RowMajor,typename ResultType::StorageIndex> RowMajorRes;
+    RowMajorRhs rhsRow = rhs;
+    RowMajorRes resRow(lhs.rows(), rhs.cols());
+    internal::conservative_sparse_sparse_product_impl<RowMajorRhs,Lhs,RowMajorRes>(rhsRow, lhs, resRow);
+    res = resRow;
+  }
+};
+
+template<typename Lhs, typename Rhs, typename ResultType>
+struct conservative_sparse_sparse_product_selector<Lhs,Rhs,ResultType,ColMajor,RowMajor,ColMajor>
+{
+  static void run(const Lhs& lhs, const Rhs& rhs, ResultType& res)
+  {
+    typedef SparseMatrix<typename Lhs::Scalar,RowMajor,typename ResultType::StorageIndex> RowMajorLhs;
+    typedef SparseMatrix<typename ResultType::Scalar,RowMajor,typename ResultType::StorageIndex> RowMajorRes;
+    RowMajorLhs lhsRow = lhs;
+    RowMajorRes resRow(lhs.rows(), rhs.cols());
+    internal::conservative_sparse_sparse_product_impl<Rhs,RowMajorLhs,RowMajorRes>(rhs, lhsRow, resRow);
+    res = resRow;
+  }
+};
+
+template<typename Lhs, typename Rhs, typename ResultType>
+struct conservative_sparse_sparse_product_selector<Lhs,Rhs,ResultType,RowMajor,RowMajor,ColMajor>
+{
+  static void run(const Lhs& lhs, const Rhs& rhs, ResultType& res)
+  {
+    typedef SparseMatrix<typename ResultType::Scalar,RowMajor,typename ResultType::StorageIndex> RowMajorMatrix;
+    RowMajorMatrix resRow(lhs.rows(), rhs.cols());
+    internal::conservative_sparse_sparse_product_impl<Rhs,Lhs,RowMajorMatrix>(rhs, lhs, resRow);
+    res = resRow;
+  }
+};
+
+
+template<typename Lhs, typename Rhs, typename ResultType>
+struct conservative_sparse_sparse_product_selector<Lhs,Rhs,ResultType,ColMajor,ColMajor,RowMajor>
+{
+  typedef typename traits<typename remove_all<Lhs>::type>::Scalar Scalar;
+
+  static void run(const Lhs& lhs, const Rhs& rhs, ResultType& res)
+  {
+    typedef SparseMatrix<typename ResultType::Scalar,ColMajor,typename ResultType::StorageIndex> ColMajorMatrix;
+    ColMajorMatrix resCol(lhs.rows(), rhs.cols());
+    internal::conservative_sparse_sparse_product_impl<Lhs,Rhs,ColMajorMatrix>(lhs, rhs, resCol);
+    res = resCol;
+  }
+};
+
+template<typename Lhs, typename Rhs, typename ResultType>
+struct conservative_sparse_sparse_product_selector<Lhs,Rhs,ResultType,RowMajor,ColMajor,RowMajor>
+{
+  static void run(const Lhs& lhs, const Rhs& rhs, ResultType& res)
+  {
+    typedef SparseMatrix<typename Lhs::Scalar,ColMajor,typename ResultType::StorageIndex> ColMajorLhs;
+    typedef SparseMatrix<typename ResultType::Scalar,ColMajor,typename ResultType::StorageIndex> ColMajorRes;
+    ColMajorLhs lhsCol = lhs;
+    ColMajorRes resCol(lhs.rows(), rhs.cols());
+    internal::conservative_sparse_sparse_product_impl<ColMajorLhs,Rhs,ColMajorRes>(lhsCol, rhs, resCol);
+    res = resCol;
+  }
+};
+
+template<typename Lhs, typename Rhs, typename ResultType>
+struct conservative_sparse_sparse_product_selector<Lhs,Rhs,ResultType,ColMajor,RowMajor,RowMajor>
+{
+  static void run(const Lhs& lhs, const Rhs& rhs, ResultType& res)
+  {
+    typedef SparseMatrix<typename Rhs::Scalar,ColMajor,typename ResultType::StorageIndex> ColMajorRhs;
+    typedef SparseMatrix<typename ResultType::Scalar,ColMajor,typename ResultType::StorageIndex> ColMajorRes;
+    ColMajorRhs rhsCol = rhs;
+    ColMajorRes resCol(lhs.rows(), rhs.cols());
+    internal::conservative_sparse_sparse_product_impl<Lhs,ColMajorRhs,ColMajorRes>(lhs, rhsCol, resCol);
+    res = resCol;
+  }
+};
+
+template<typename Lhs, typename Rhs, typename ResultType>
+struct conservative_sparse_sparse_product_selector<Lhs,Rhs,ResultType,RowMajor,RowMajor,RowMajor>
+{
+  static void run(const Lhs& lhs, const Rhs& rhs, ResultType& res)
+  {
+    typedef SparseMatrix<typename ResultType::Scalar,RowMajor,typename ResultType::StorageIndex> RowMajorMatrix;
+    typedef SparseMatrix<typename ResultType::Scalar,ColMajor,typename ResultType::StorageIndex> ColMajorMatrix;
+    RowMajorMatrix resRow(lhs.rows(),rhs.cols());
+    internal::conservative_sparse_sparse_product_impl<Rhs,Lhs,RowMajorMatrix>(rhs, lhs, resRow);
+    // sort the non zeros:
+    ColMajorMatrix resCol(resRow);
+    res = resCol;
+  }
+};
+
+} // end namespace internal
+
+
+namespace internal {
+
+template<typename Lhs, typename Rhs, typename ResultType>
+static void sparse_sparse_to_dense_product_impl(const Lhs& lhs, const Rhs& rhs, ResultType& res)
+{
+  typedef typename remove_all<Lhs>::type::Scalar LhsScalar;
+  typedef typename remove_all<Rhs>::type::Scalar RhsScalar;
+  Index cols = rhs.outerSize();
+  eigen_assert(lhs.outerSize() == rhs.innerSize());
+
+  evaluator<Lhs> lhsEval(lhs);
+  evaluator<Rhs> rhsEval(rhs);
+
+  for (Index j=0; j<cols; ++j)
+  {
+    for (typename evaluator<Rhs>::InnerIterator rhsIt(rhsEval, j); rhsIt; ++rhsIt)
+    {
+      RhsScalar y = rhsIt.value();
+      Index k = rhsIt.index();
+      for (typename evaluator<Lhs>::InnerIterator lhsIt(lhsEval, k); lhsIt; ++lhsIt)
+      {
+        Index i = lhsIt.index();
+        LhsScalar x = lhsIt.value();
+        res.coeffRef(i,j) += x * y;
+      }
+    }
+  }
+}
+
+
+} // end namespace internal
+
+namespace internal {
+
+template<typename Lhs, typename Rhs, typename ResultType,
+  int LhsStorageOrder = (traits<Lhs>::Flags&RowMajorBit) ? RowMajor : ColMajor,
+  int RhsStorageOrder = (traits<Rhs>::Flags&RowMajorBit) ? RowMajor : ColMajor>
+struct sparse_sparse_to_dense_product_selector;
+
+template<typename Lhs, typename Rhs, typename ResultType>
+struct sparse_sparse_to_dense_product_selector<Lhs,Rhs,ResultType,ColMajor,ColMajor>
+{
+  static void run(const Lhs& lhs, const Rhs& rhs, ResultType& res)
+  {
+    internal::sparse_sparse_to_dense_product_impl<Lhs,Rhs,ResultType>(lhs, rhs, res);
+  }
+};
+
+template<typename Lhs, typename Rhs, typename ResultType>
+struct sparse_sparse_to_dense_product_selector<Lhs,Rhs,ResultType,RowMajor,ColMajor>
+{
+  static void run(const Lhs& lhs, const Rhs& rhs, ResultType& res)
+  {
+    typedef SparseMatrix<typename Lhs::Scalar,ColMajor,typename ResultType::StorageIndex> ColMajorLhs;
+    ColMajorLhs lhsCol(lhs);
+    internal::sparse_sparse_to_dense_product_impl<ColMajorLhs,Rhs,ResultType>(lhsCol, rhs, res);
+  }
+};
+
+template<typename Lhs, typename Rhs, typename ResultType>
+struct sparse_sparse_to_dense_product_selector<Lhs,Rhs,ResultType,ColMajor,RowMajor>
+{
+  static void run(const Lhs& lhs, const Rhs& rhs, ResultType& res)
+  {
+    typedef SparseMatrix<typename Rhs::Scalar,ColMajor,typename ResultType::StorageIndex> ColMajorRhs;
+    ColMajorRhs rhsCol(rhs);
+    internal::sparse_sparse_to_dense_product_impl<Lhs,ColMajorRhs,ResultType>(lhs, rhsCol, res);
+  }
+};
+
+template<typename Lhs, typename Rhs, typename ResultType>
+struct sparse_sparse_to_dense_product_selector<Lhs,Rhs,ResultType,RowMajor,RowMajor>
+{
+  static void run(const Lhs& lhs, const Rhs& rhs, ResultType& res)
+  {
+    Transpose<ResultType> trRes(res);
+    internal::sparse_sparse_to_dense_product_impl<Rhs,Lhs,Transpose<ResultType> >(rhs, lhs, trRes);
+  }
+};
+
+
+} // end namespace internal
+
+} // end namespace Eigen
+
+#endif // EIGEN_CONSERVATIVESPARSESPARSEPRODUCT_H
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/SparseCore/SparseRedux.h
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/SparseCore/SparseRedux.h	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/SparseCore/SparseRedux.h	(revision 3761)
@@ -0,0 +1,49 @@
+// This file is part of Eigen, a lightweight C++ template library
+// for linear algebra.
+//
+// Copyright (C) 2008-2014 Gael Guennebaud <gael.guennebaud@inria.fr>
+//
+// This Source Code Form is subject to the terms of the Mozilla
+// Public License v. 2.0. If a copy of the MPL was not distributed
+// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
+
+#ifndef EIGEN_SPARSEREDUX_H
+#define EIGEN_SPARSEREDUX_H
+
+namespace Eigen { 
+
+template<typename Derived>
+typename internal::traits<Derived>::Scalar
+SparseMatrixBase<Derived>::sum() const
+{
+  eigen_assert(rows()>0 && cols()>0 && "you are using a non initialized matrix");
+  Scalar res(0);
+  internal::evaluator<Derived> thisEval(derived());
+  for (Index j=0; j<outerSize(); ++j)
+    for (typename internal::evaluator<Derived>::InnerIterator iter(thisEval,j); iter; ++iter)
+      res += iter.value();
+  return res;
+}
+
+template<typename _Scalar, int _Options, typename _Index>
+typename internal::traits<SparseMatrix<_Scalar,_Options,_Index> >::Scalar
+SparseMatrix<_Scalar,_Options,_Index>::sum() const
+{
+  eigen_assert(rows()>0 && cols()>0 && "you are using a non initialized matrix");
+  if(this->isCompressed())
+    return Matrix<Scalar,1,Dynamic>::Map(m_data.valuePtr(), m_data.size()).sum();
+  else
+    return Base::sum();
+}
+
+template<typename _Scalar, int _Options, typename _Index>
+typename internal::traits<SparseVector<_Scalar,_Options, _Index> >::Scalar
+SparseVector<_Scalar,_Options,_Index>::sum() const
+{
+  eigen_assert(rows()>0 && cols()>0 && "you are using a non initialized matrix");
+  return Matrix<Scalar,1,Dynamic>::Map(m_data.valuePtr(), m_data.size()).sum();
+}
+
+} // end namespace Eigen
+
+#endif // EIGEN_SPARSEREDUX_H
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseUnaryOp.h
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseUnaryOp.h	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseUnaryOp.h	(revision 3761)
@@ -0,0 +1,150 @@
+// This file is part of Eigen, a lightweight C++ template library
+// for linear algebra.
+//
+// Copyright (C) 2008-2015 Gael Guennebaud <gael.guennebaud@inria.fr>
+//
+// This Source Code Form is subject to the terms of the Mozilla
+// Public License v. 2.0. If a copy of the MPL was not distributed
+// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
+
+#ifndef EIGEN_SPARSE_CWISE_UNARY_OP_H
+#define EIGEN_SPARSE_CWISE_UNARY_OP_H
+
+namespace Eigen { 
+
+namespace internal {
+  
+template<typename UnaryOp, typename ArgType>
+struct unary_evaluator<CwiseUnaryOp<UnaryOp,ArgType>, IteratorBased>
+  : public evaluator_base<CwiseUnaryOp<UnaryOp,ArgType> >
+{
+  public:
+    typedef CwiseUnaryOp<UnaryOp, ArgType> XprType;
+
+    class InnerIterator;
+    
+    enum {
+      CoeffReadCost = evaluator<ArgType>::CoeffReadCost + functor_traits<UnaryOp>::Cost,
+      Flags = XprType::Flags
+    };
+    
+    explicit unary_evaluator(const XprType& op) : m_functor(op.functor()), m_argImpl(op.nestedExpression())
+    {
+      EIGEN_INTERNAL_CHECK_COST_VALUE(functor_traits<UnaryOp>::Cost);
+      EIGEN_INTERNAL_CHECK_COST_VALUE(CoeffReadCost);
+    }
+    
+    inline Index nonZerosEstimate() const {
+      return m_argImpl.nonZerosEstimate();
+    }
+
+  protected:
+    typedef typename evaluator<ArgType>::InnerIterator        EvalIterator;
+    
+    const UnaryOp m_functor;
+    evaluator<ArgType> m_argImpl;
+};
+
+template<typename UnaryOp, typename ArgType>
+class unary_evaluator<CwiseUnaryOp<UnaryOp,ArgType>, IteratorBased>::InnerIterator
+    : public unary_evaluator<CwiseUnaryOp<UnaryOp,ArgType>, IteratorBased>::EvalIterator
+{
+  protected:
+    typedef typename XprType::Scalar Scalar;
+    typedef typename unary_evaluator<CwiseUnaryOp<UnaryOp,ArgType>, IteratorBased>::EvalIterator Base;
+  public:
+
+    EIGEN_STRONG_INLINE InnerIterator(const unary_evaluator& unaryOp, Index outer)
+      : Base(unaryOp.m_argImpl,outer), m_functor(unaryOp.m_functor)
+    {}
+
+    EIGEN_STRONG_INLINE InnerIterator& operator++()
+    { Base::operator++(); return *this; }
+
+    EIGEN_STRONG_INLINE Scalar value() const { return m_functor(Base::value()); }
+
+  protected:
+    const UnaryOp m_functor;
+  private:
+    Scalar& valueRef();
+};
+
+template<typename ViewOp, typename ArgType>
+struct unary_evaluator<CwiseUnaryView<ViewOp,ArgType>, IteratorBased>
+  : public evaluator_base<CwiseUnaryView<ViewOp,ArgType> >
+{
+  public:
+    typedef CwiseUnaryView<ViewOp, ArgType> XprType;
+
+    class InnerIterator;
+    
+    enum {
+      CoeffReadCost = evaluator<ArgType>::CoeffReadCost + functor_traits<ViewOp>::Cost,
+      Flags = XprType::Flags
+    };
+    
+    explicit unary_evaluator(const XprType& op) : m_functor(op.functor()), m_argImpl(op.nestedExpression())
+    {
+      EIGEN_INTERNAL_CHECK_COST_VALUE(functor_traits<ViewOp>::Cost);
+      EIGEN_INTERNAL_CHECK_COST_VALUE(CoeffReadCost);
+    }
+
+  protected:
+    typedef typename evaluator<ArgType>::InnerIterator        EvalIterator;
+    
+    const ViewOp m_functor;
+    evaluator<ArgType> m_argImpl;
+};
+
+template<typename ViewOp, typename ArgType>
+class unary_evaluator<CwiseUnaryView<ViewOp,ArgType>, IteratorBased>::InnerIterator
+    : public unary_evaluator<CwiseUnaryView<ViewOp,ArgType>, IteratorBased>::EvalIterator
+{
+  protected:
+    typedef typename XprType::Scalar Scalar;
+    typedef typename unary_evaluator<CwiseUnaryView<ViewOp,ArgType>, IteratorBased>::EvalIterator Base;
+  public:
+
+    EIGEN_STRONG_INLINE InnerIterator(const unary_evaluator& unaryOp, Index outer)
+      : Base(unaryOp.m_argImpl,outer), m_functor(unaryOp.m_functor)
+    {}
+
+    EIGEN_STRONG_INLINE InnerIterator& operator++()
+    { Base::operator++(); return *this; }
+
+    EIGEN_STRONG_INLINE Scalar value() const { return m_functor(Base::value()); }
+    EIGEN_STRONG_INLINE Scalar& valueRef() { return m_functor(Base::valueRef()); }
+
+  protected:
+    const ViewOp m_functor;
+};
+
+} // end namespace internal
+
+template<typename Derived>
+EIGEN_STRONG_INLINE Derived&
+SparseMatrixBase<Derived>::operator*=(const Scalar& other)
+{
+  typedef typename internal::evaluator<Derived>::InnerIterator EvalIterator;
+  internal::evaluator<Derived> thisEval(derived());
+  for (Index j=0; j<outerSize(); ++j)
+    for (EvalIterator i(thisEval,j); i; ++i)
+      i.valueRef() *= other;
+  return derived();
+}
+
+template<typename Derived>
+EIGEN_STRONG_INLINE Derived&
+SparseMatrixBase<Derived>::operator/=(const Scalar& other)
+{
+  typedef typename internal::evaluator<Derived>::InnerIterator EvalIterator;
+  internal::evaluator<Derived> thisEval(derived());
+  for (Index j=0; j<outerSize(); ++j)
+    for (EvalIterator i(thisEval,j); i; ++i)
+      i.valueRef() /= other;
+  return derived();
+}
+
+} // end namespace Eigen
+
+#endif // EIGEN_SPARSE_CWISE_UNARY_OP_H
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h	(revision 3761)
@@ -0,0 +1,603 @@
+// This file is part of Eigen, a lightweight C++ template library
+// for linear algebra.
+//
+// Copyright (C) 2008-2014 Gael Guennebaud <gael.guennebaud@inria.fr>
+//
+// This Source Code Form is subject to the terms of the Mozilla
+// Public License v. 2.0. If a copy of the MPL was not distributed
+// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
+
+#ifndef EIGEN_SPARSE_BLOCK_H
+#define EIGEN_SPARSE_BLOCK_H
+
+namespace Eigen {
+
+// Subset of columns or rows
+template<typename XprType, int BlockRows, int BlockCols>
+class BlockImpl<XprType,BlockRows,BlockCols,true,Sparse>
+  : public SparseMatrixBase<Block<XprType,BlockRows,BlockCols,true> >
+{
+    typedef typename internal::remove_all<typename XprType::Nested>::type _MatrixTypeNested;
+    typedef Block<XprType, BlockRows, BlockCols, true> BlockType;
+public:
+    enum { IsRowMajor = internal::traits<BlockType>::IsRowMajor };
+protected:
+    enum { OuterSize = IsRowMajor ? BlockRows : BlockCols };
+    typedef SparseMatrixBase<BlockType> Base;
+    using Base::convert_index;
+public:
+    EIGEN_SPARSE_PUBLIC_INTERFACE(BlockType)
+
+    inline BlockImpl(XprType& xpr, Index i)
+      : m_matrix(xpr), m_outerStart(convert_index(i)), m_outerSize(OuterSize)
+    {}
+
+    inline BlockImpl(XprType& xpr, Index startRow, Index startCol, Index blockRows, Index blockCols)
+      : m_matrix(xpr), m_outerStart(convert_index(IsRowMajor ? startRow : startCol)), m_outerSize(convert_index(IsRowMajor ? blockRows : blockCols))
+    {}
+
+    EIGEN_STRONG_INLINE Index rows() const { return IsRowMajor ? m_outerSize.value() : m_matrix.rows(); }
+    EIGEN_STRONG_INLINE Index cols() const { return IsRowMajor ? m_matrix.cols() : m_outerSize.value(); }
+
+    Index nonZeros() const
+    {
+      typedef internal::evaluator<XprType> EvaluatorType;
+      EvaluatorType matEval(m_matrix);
+      Index nnz = 0;
+      Index end = m_outerStart + m_outerSize.value();
+      for(Index j=m_outerStart; j<end; ++j)
+        for(typename EvaluatorType::InnerIterator it(matEval, j); it; ++it)
+          ++nnz;
+      return nnz;
+    }
+
+    inline const Scalar coeff(Index row, Index col) const
+    {
+      return m_matrix.coeff(row + (IsRowMajor ? m_outerStart : 0), col + (IsRowMajor ? 0 :  m_outerStart));
+    }
+
+    inline const Scalar coeff(Index index) const
+    {
+      return m_matrix.coeff(IsRowMajor ? m_outerStart : index, IsRowMajor ? index :  m_outerStart);
+    }
+
+    inline const XprType& nestedExpression() const { return m_matrix; }
+    inline XprType& nestedExpression() { return m_matrix; }
+    Index startRow() const { return IsRowMajor ? m_outerStart : 0; }
+    Index startCol() const { return IsRowMajor ? 0 : m_outerStart; }
+    Index blockRows() const { return IsRowMajor ? m_outerSize.value() : m_matrix.rows(); }
+    Index blockCols() const { return IsRowMajor ? m_matrix.cols() : m_outerSize.value(); }
+
+  protected:
+
+    typename internal::ref_selector<XprType>::non_const_type m_matrix;
+    Index m_outerStart;
+    const internal::variable_if_dynamic<Index, OuterSize> m_outerSize;
+
+  protected:
+    // Disable assignment with clear error message.
+    // Note that simply removing operator= yields compilation errors with ICC+MSVC
+    template<typename T>
+    BlockImpl& operator=(const T&)
+    {
+      EIGEN_STATIC_ASSERT(sizeof(T)==0, THIS_SPARSE_BLOCK_SUBEXPRESSION_IS_READ_ONLY);
+      return *this;
+    }
+};
+
+
+/***************************************************************************
+* specialization for SparseMatrix
+***************************************************************************/
+
+namespace internal {
+
+template<typename SparseMatrixType, int BlockRows, int BlockCols>
+class sparse_matrix_block_impl
+  : public SparseCompressedBase<Block<SparseMatrixType,BlockRows,BlockCols,true> >
+{
+    typedef typename internal::remove_all<typename SparseMatrixType::Nested>::type _MatrixTypeNested;
+    typedef Block<SparseMatrixType, BlockRows, BlockCols, true> BlockType;
+    typedef SparseCompressedBase<Block<SparseMatrixType,BlockRows,BlockCols,true> > Base;
+    using Base::convert_index;
+public:
+    enum { IsRowMajor = internal::traits<BlockType>::IsRowMajor };
+    EIGEN_SPARSE_PUBLIC_INTERFACE(BlockType)
+protected:
+    typedef typename Base::IndexVector IndexVector;
+    enum { OuterSize = IsRowMajor ? BlockRows : BlockCols };
+public:
+
+    inline sparse_matrix_block_impl(SparseMatrixType& xpr, Index i)
+      : m_matrix(xpr), m_outerStart(convert_index(i)), m_outerSize(OuterSize)
+    {}
+
+    inline sparse_matrix_block_impl(SparseMatrixType& xpr, Index startRow, Index startCol, Index blockRows, Index blockCols)
+      : m_matrix(xpr), m_outerStart(convert_index(IsRowMajor ? startRow : startCol)), m_outerSize(convert_index(IsRowMajor ? blockRows : blockCols))
+    {}
+
+    template<typename OtherDerived>
+    inline BlockType& operator=(const SparseMatrixBase<OtherDerived>& other)
+    {
+      typedef typename internal::remove_all<typename SparseMatrixType::Nested>::type _NestedMatrixType;
+      _NestedMatrixType& matrix = m_matrix;
+      // This assignment is slow if this vector set is not empty
+      // and/or it is not at the end of the nonzeros of the underlying matrix.
+
+      // 1 - eval to a temporary to avoid transposition and/or aliasing issues
+      Ref<const SparseMatrix<Scalar, IsRowMajor ? RowMajor : ColMajor, StorageIndex> > tmp(other.derived());
+      eigen_internal_assert(tmp.outerSize()==m_outerSize.value());
+
+      // 2 - let's check whether there is enough allocated memory
+      Index nnz           = tmp.nonZeros();
+      Index start         = m_outerStart==0 ? 0 : m_matrix.outerIndexPtr()[m_outerStart]; // starting position of the current block
+      Index end           = m_matrix.outerIndexPtr()[m_outerStart+m_outerSize.value()]; // ending position of the current block
+      Index block_size    = end - start;                                                // available room in the current block
+      Index tail_size     = m_matrix.outerIndexPtr()[m_matrix.outerSize()] - end;
+
+      Index free_size     = m_matrix.isCompressed()
+                          ? Index(matrix.data().allocatedSize()) + block_size
+                          : block_size;
+
+      Index tmp_start = tmp.outerIndexPtr()[0];
+
+      bool update_trailing_pointers = false;
+      if(nnz>free_size)
+      {
+        // realloc manually to reduce copies
+        typename SparseMatrixType::Storage newdata(m_matrix.data().allocatedSize() - block_size + nnz);
+
+        internal::smart_copy(m_matrix.valuePtr(),       m_matrix.valuePtr() + start,      newdata.valuePtr());
+        internal::smart_copy(m_matrix.innerIndexPtr(),  m_matrix.innerIndexPtr() + start, newdata.indexPtr());
+
+        internal::smart_copy(tmp.valuePtr() + tmp_start,      tmp.valuePtr() + tmp_start + nnz,       newdata.valuePtr() + start);
+        internal::smart_copy(tmp.innerIndexPtr() + tmp_start, tmp.innerIndexPtr() + tmp_start + nnz,  newdata.indexPtr() + start);
+
+        internal::smart_copy(matrix.valuePtr()+end,       matrix.valuePtr()+end + tail_size,      newdata.valuePtr()+start+nnz);
+        internal::smart_copy(matrix.innerIndexPtr()+end,  matrix.innerIndexPtr()+end + tail_size, newdata.indexPtr()+start+nnz);
+
+        newdata.resize(m_matrix.outerIndexPtr()[m_matrix.outerSize()] - block_size + nnz);
+
+        matrix.data().swap(newdata);
+
+        update_trailing_pointers = true;
+      }
+      else
+      {
+        if(m_matrix.isCompressed())
+        {
+          // no need to realloc, simply copy the tail at its respective position and insert tmp
+          matrix.data().resize(start + nnz + tail_size);
+
+          internal::smart_memmove(matrix.valuePtr()+end,      matrix.valuePtr() + end+tail_size,      matrix.valuePtr() + start+nnz);
+          internal::smart_memmove(matrix.innerIndexPtr()+end, matrix.innerIndexPtr() + end+tail_size, matrix.innerIndexPtr() + start+nnz);
+
+          update_trailing_pointers = true;
+        }
+
+        internal::smart_copy(tmp.valuePtr() + tmp_start,      tmp.valuePtr() + tmp_start + nnz,       matrix.valuePtr() + start);
+        internal::smart_copy(tmp.innerIndexPtr() + tmp_start, tmp.innerIndexPtr() + tmp_start + nnz,  matrix.innerIndexPtr() + start);
+      }
+
+      // update outer index pointers and innerNonZeros
+      if(IsVectorAtCompileTime)
+      {
+        if(!m_matrix.isCompressed())
+          matrix.innerNonZeroPtr()[m_outerStart] = StorageIndex(nnz);
+        matrix.outerIndexPtr()[m_outerStart] = StorageIndex(start);
+      }
+      else
+      {
+        StorageIndex p = StorageIndex(start);
+        for(Index k=0; k<m_outerSize.value(); ++k)
+        {
+          StorageIndex nnz_k = internal::convert_index<StorageIndex>(tmp.innerVector(k).nonZeros());
+          if(!m_matrix.isCompressed())
+            matrix.innerNonZeroPtr()[m_outerStart+k] = nnz_k;
+          matrix.outerIndexPtr()[m_outerStart+k] = p;
+          p += nnz_k;
+        }
+      }
+
+      if(update_trailing_pointers)
+      {
+        StorageIndex offset = internal::convert_index<StorageIndex>(nnz - block_size);
+        for(Index k = m_outerStart + m_outerSize.value(); k<=matrix.outerSize(); ++k)
+        {
+          matrix.outerIndexPtr()[k] += offset;
+        }
+      }
+
+      return derived();
+    }
+
+    inline BlockType& operator=(const BlockType& other)
+    {
+      return operator=<BlockType>(other);
+    }
+
+    inline const Scalar* valuePtr() const
+    { return m_matrix.valuePtr(); }
+    inline Scalar* valuePtr()
+    { return m_matrix.valuePtr(); }
+
+    inline const StorageIndex* innerIndexPtr() const
+    { return m_matrix.innerIndexPtr(); }
+    inline StorageIndex* innerIndexPtr()
+    { return m_matrix.innerIndexPtr(); }
+
+    inline const StorageIndex* outerIndexPtr() const
+    { return m_matrix.outerIndexPtr() + m_outerStart; }
+    inline StorageIndex* outerIndexPtr()
+    { return m_matrix.outerIndexPtr() + m_outerStart; }
+
+    inline const StorageIndex* innerNonZeroPtr() const
+    { return isCompressed() ? 0 : (m_matrix.innerNonZeroPtr()+m_outerStart); }
+    inline StorageIndex* innerNonZeroPtr()
+    { return isCompressed() ? 0 : (m_matrix.innerNonZeroPtr()+m_outerStart); }
+
+    bool isCompressed() const { return m_matrix.innerNonZeroPtr()==0; }
+
+    inline Scalar& coeffRef(Index row, Index col)
+    {
+      return m_matrix.coeffRef(row + (IsRowMajor ? m_outerStart : 0), col + (IsRowMajor ? 0 :  m_outerStart));
+    }
+
+    inline const Scalar coeff(Index row, Index col) const
+    {
+      return m_matrix.coeff(row + (IsRowMajor ? m_outerStart : 0), col + (IsRowMajor ? 0 :  m_outerStart));
+    }
+
+    inline const Scalar coeff(Index index) const
+    {
+      return m_matrix.coeff(IsRowMajor ? m_outerStart : index, IsRowMajor ? index :  m_outerStart);
+    }
+
+    const Scalar& lastCoeff() const
+    {
+      EIGEN_STATIC_ASSERT_VECTOR_ONLY(sparse_matrix_block_impl);
+      eigen_assert(Base::nonZeros()>0);
+      if(m_matrix.isCompressed())
+        return m_matrix.valuePtr()[m_matrix.outerIndexPtr()[m_outerStart+1]-1];
+      else
+        return m_matrix.valuePtr()[m_matrix.outerIndexPtr()[m_outerStart]+m_matrix.innerNonZeroPtr()[m_outerStart]-1];
+    }
+
+    EIGEN_STRONG_INLINE Index rows() const { return IsRowMajor ? m_outerSize.value() : m_matrix.rows(); }
+    EIGEN_STRONG_INLINE Index cols() const { return IsRowMajor ? m_matrix.cols() : m_outerSize.value(); }
+
+    inline const SparseMatrixType& nestedExpression() const { return m_matrix; }
+    inline SparseMatrixType& nestedExpression() { return m_matrix; }
+    Index startRow() const { return IsRowMajor ? m_outerStart : 0; }
+    Index startCol() const { return IsRowMajor ? 0 : m_outerStart; }
+    Index blockRows() const { return IsRowMajor ? m_outerSize.value() : m_matrix.rows(); }
+    Index blockCols() const { return IsRowMajor ? m_matrix.cols() : m_outerSize.value(); }
+
+  protected:
+
+    typename internal::ref_selector<SparseMatrixType>::non_const_type m_matrix;
+    Index m_outerStart;
+    const internal::variable_if_dynamic<Index, OuterSize> m_outerSize;
+
+};
+
+} // namespace internal
+
+template<typename _Scalar, int _Options, typename _StorageIndex, int BlockRows, int BlockCols>
+class BlockImpl<SparseMatrix<_Scalar, _Options, _StorageIndex>,BlockRows,BlockCols,true,Sparse>
+  : public internal::sparse_matrix_block_impl<SparseMatrix<_Scalar, _Options, _StorageIndex>,BlockRows,BlockCols>
+{
+public:
+  typedef _StorageIndex StorageIndex;
+  typedef SparseMatrix<_Scalar, _Options, _StorageIndex> SparseMatrixType;
+  typedef internal::sparse_matrix_block_impl<SparseMatrixType,BlockRows,BlockCols> Base;
+  inline BlockImpl(SparseMatrixType& xpr, Index i)
+    : Base(xpr, i)
+  {}
+
+  inline BlockImpl(SparseMatrixType& xpr, Index startRow, Index startCol, Index blockRows, Index blockCols)
+    : Base(xpr, startRow, startCol, blockRows, blockCols)
+  {}
+
+  using Base::operator=;
+};
+
+template<typename _Scalar, int _Options, typename _StorageIndex, int BlockRows, int BlockCols>
+class BlockImpl<const SparseMatrix<_Scalar, _Options, _StorageIndex>,BlockRows,BlockCols,true,Sparse>
+  : public internal::sparse_matrix_block_impl<const SparseMatrix<_Scalar, _Options, _StorageIndex>,BlockRows,BlockCols>
+{
+public:
+  typedef _StorageIndex StorageIndex;
+  typedef const SparseMatrix<_Scalar, _Options, _StorageIndex> SparseMatrixType;
+  typedef internal::sparse_matrix_block_impl<SparseMatrixType,BlockRows,BlockCols> Base;
+  inline BlockImpl(SparseMatrixType& xpr, Index i)
+    : Base(xpr, i)
+  {}
+
+  inline BlockImpl(SparseMatrixType& xpr, Index startRow, Index startCol, Index blockRows, Index blockCols)
+    : Base(xpr, startRow, startCol, blockRows, blockCols)
+  {}
+
+  using Base::operator=;
+private:
+  template<typename Derived> BlockImpl(const SparseMatrixBase<Derived>& xpr, Index i);
+  template<typename Derived> BlockImpl(const SparseMatrixBase<Derived>& xpr);
+};
+
+//----------
+
+/** \returns the \a outer -th column (resp. row) of the matrix \c *this if \c *this
+  * is col-major (resp. row-major).
+  */
+template<typename Derived>
+typename SparseMatrixBase<Derived>::InnerVectorReturnType SparseMatrixBase<Derived>::innerVector(Index outer)
+{ return InnerVectorReturnType(derived(), outer); }
+
+/** \returns the \a outer -th column (resp. row) of the matrix \c *this if \c *this
+  * is col-major (resp. row-major). Read-only.
+  */
+template<typename Derived>
+const typename SparseMatrixBase<Derived>::ConstInnerVectorReturnType SparseMatrixBase<Derived>::innerVector(Index outer) const
+{ return ConstInnerVectorReturnType(derived(), outer); }
+
+/** \returns the \a outer -th column (resp. row) of the matrix \c *this if \c *this
+  * is col-major (resp. row-major).
+  */
+template<typename Derived>
+typename SparseMatrixBase<Derived>::InnerVectorsReturnType
+SparseMatrixBase<Derived>::innerVectors(Index outerStart, Index outerSize)
+{
+  return Block<Derived,Dynamic,Dynamic,true>(derived(),
+                                             IsRowMajor ? outerStart : 0, IsRowMajor ? 0 : outerStart,
+                                             IsRowMajor ? outerSize : rows(), IsRowMajor ? cols() : outerSize);
+
+}
+
+/** \returns the \a outer -th column (resp. row) of the matrix \c *this if \c *this
+  * is col-major (resp. row-major). Read-only.
+  */
+template<typename Derived>
+const typename SparseMatrixBase<Derived>::ConstInnerVectorsReturnType
+SparseMatrixBase<Derived>::innerVectors(Index outerStart, Index outerSize) const
+{
+  return Block<const Derived,Dynamic,Dynamic,true>(derived(),
+                                                  IsRowMajor ? outerStart : 0, IsRowMajor ? 0 : outerStart,
+                                                  IsRowMajor ? outerSize : rows(), IsRowMajor ? cols() : outerSize);
+
+}
+
+/** Generic implementation of sparse Block expression.
+  * Real-only.
+  */
+template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel>
+class BlockImpl<XprType,BlockRows,BlockCols,InnerPanel,Sparse>
+  : public SparseMatrixBase<Block<XprType,BlockRows,BlockCols,InnerPanel> >, internal::no_assignment_operator
+{
+    typedef Block<XprType, BlockRows, BlockCols, InnerPanel> BlockType;
+    typedef SparseMatrixBase<BlockType> Base;
+    using Base::convert_index;
+public:
+    enum { IsRowMajor = internal::traits<BlockType>::IsRowMajor };
+    EIGEN_SPARSE_PUBLIC_INTERFACE(BlockType)
+
+    typedef typename internal::remove_all<typename XprType::Nested>::type _MatrixTypeNested;
+
+    /** Column or Row constructor
+      */
+    inline BlockImpl(XprType& xpr, Index i)
+      : m_matrix(xpr),
+        m_startRow( (BlockRows==1) && (BlockCols==XprType::ColsAtCompileTime) ? convert_index(i) : 0),
+        m_startCol( (BlockRows==XprType::RowsAtCompileTime) && (BlockCols==1) ? convert_index(i) : 0),
+        m_blockRows(BlockRows==1 ? 1 : xpr.rows()),
+        m_blockCols(BlockCols==1 ? 1 : xpr.cols())
+    {}
+
+    /** Dynamic-size constructor
+      */
+    inline BlockImpl(XprType& xpr, Index startRow, Index startCol, Index blockRows, Index blockCols)
+      : m_matrix(xpr), m_startRow(convert_index(startRow)), m_startCol(convert_index(startCol)), m_blockRows(convert_index(blockRows)), m_blockCols(convert_index(blockCols))
+    {}
+
+    inline Index rows() const { return m_blockRows.value(); }
+    inline Index cols() const { return m_blockCols.value(); }
+
+    inline Scalar& coeffRef(Index row, Index col)
+    {
+      return m_matrix.coeffRef(row + m_startRow.value(), col + m_startCol.value());
+    }
+
+    inline const Scalar coeff(Index row, Index col) const
+    {
+      return m_matrix.coeff(row + m_startRow.value(), col + m_startCol.value());
+    }
+
+    inline Scalar& coeffRef(Index index)
+    {
+      return m_matrix.coeffRef(m_startRow.value() + (RowsAtCompileTime == 1 ? 0 : index),
+                               m_startCol.value() + (RowsAtCompileTime == 1 ? index : 0));
+    }
+
+    inline const Scalar coeff(Index index) const
+    {
+      return m_matrix.coeff(m_startRow.value() + (RowsAtCompileTime == 1 ? 0 : index),
+                            m_startCol.value() + (RowsAtCompileTime == 1 ? index : 0));
+    }
+
+    inline const XprType& nestedExpression() const { return m_matrix; }
+    inline XprType& nestedExpression() { return m_matrix; }
+    Index startRow() const { return m_startRow.value(); }
+    Index startCol() const { return m_startCol.value(); }
+    Index blockRows() const { return m_blockRows.value(); }
+    Index blockCols() const { return m_blockCols.value(); }
+
+  protected:
+//     friend class internal::GenericSparseBlockInnerIteratorImpl<XprType,BlockRows,BlockCols,InnerPanel>;
+    friend struct internal::unary_evaluator<Block<XprType,BlockRows,BlockCols,InnerPanel>, internal::IteratorBased, Scalar >;
+
+    Index nonZeros() const { return Dynamic; }
+
+    typename internal::ref_selector<XprType>::non_const_type m_matrix;
+    const internal::variable_if_dynamic<Index, XprType::RowsAtCompileTime == 1 ? 0 : Dynamic> m_startRow;
+    const internal::variable_if_dynamic<Index, XprType::ColsAtCompileTime == 1 ? 0 : Dynamic> m_startCol;
+    const internal::variable_if_dynamic<Index, RowsAtCompileTime> m_blockRows;
+    const internal::variable_if_dynamic<Index, ColsAtCompileTime> m_blockCols;
+
+  protected:
+    // Disable assignment with clear error message.
+    // Note that simply removing operator= yields compilation errors with ICC+MSVC
+    template<typename T>
+    BlockImpl& operator=(const T&)
+    {
+      EIGEN_STATIC_ASSERT(sizeof(T)==0, THIS_SPARSE_BLOCK_SUBEXPRESSION_IS_READ_ONLY);
+      return *this;
+    }
+
+};
+
+namespace internal {
+
+template<typename ArgType, int BlockRows, int BlockCols, bool InnerPanel>
+struct unary_evaluator<Block<ArgType,BlockRows,BlockCols,InnerPanel>, IteratorBased >
+ : public evaluator_base<Block<ArgType,BlockRows,BlockCols,InnerPanel> >
+{
+    class InnerVectorInnerIterator;
+    class OuterVectorInnerIterator;
+  public:
+    typedef Block<ArgType,BlockRows,BlockCols,InnerPanel> XprType;
+    typedef typename XprType::StorageIndex StorageIndex;
+    typedef typename XprType::Scalar Scalar;
+
+    enum {
+      IsRowMajor = XprType::IsRowMajor,
+
+      OuterVector =  (BlockCols==1 && ArgType::IsRowMajor)
+                    | // FIXME | instead of || to please GCC 4.4.0 stupid warning "suggest parentheses around &&".
+                      // revert to || as soon as not needed anymore.
+                     (BlockRows==1 && !ArgType::IsRowMajor),
+
+      CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
+      Flags = XprType::Flags
+    };
+
+    typedef typename internal::conditional<OuterVector,OuterVectorInnerIterator,InnerVectorInnerIterator>::type InnerIterator;
+
+    explicit unary_evaluator(const XprType& op)
+      : m_argImpl(op.nestedExpression()), m_block(op)
+    {}
+
+    inline Index nonZerosEstimate() const {
+      Index nnz = m_block.nonZeros();
+      if(nnz<0)
+        return m_argImpl.nonZerosEstimate() * m_block.size() / m_block.nestedExpression().size();
+      return nnz;
+    }
+
+  protected:
+    typedef typename evaluator<ArgType>::InnerIterator EvalIterator;
+
+    evaluator<ArgType> m_argImpl;
+    const XprType &m_block;
+};
+
+template<typename ArgType, int BlockRows, int BlockCols, bool InnerPanel>
+class unary_evaluator<Block<ArgType,BlockRows,BlockCols,InnerPanel>, IteratorBased>::InnerVectorInnerIterator
+ : public EvalIterator
+{
+  enum { IsRowMajor = unary_evaluator::IsRowMajor };
+  const XprType& m_block;
+  Index m_end;
+public:
+
+  EIGEN_STRONG_INLINE InnerVectorInnerIterator(const unary_evaluator& aEval, Index outer)
+    : EvalIterator(aEval.m_argImpl, outer + (IsRowMajor ? aEval.m_block.startRow() : aEval.m_block.startCol())),
+      m_block(aEval.m_block),
+      m_end(IsRowMajor ? aEval.m_block.startCol()+aEval.m_block.blockCols() : aEval.m_block.startRow()+aEval.m_block.blockRows())
+  {
+    while( (EvalIterator::operator bool()) && (EvalIterator::index() < (IsRowMajor ? m_block.startCol() : m_block.startRow())) )
+      EvalIterator::operator++();
+  }
+
+  inline StorageIndex index() const { return EvalIterator::index() - convert_index<StorageIndex>(IsRowMajor ? m_block.startCol() : m_block.startRow()); }
+  inline Index outer()  const { return EvalIterator::outer() - (IsRowMajor ? m_block.startRow() : m_block.startCol()); }
+  inline Index row()    const { return EvalIterator::row()   - m_block.startRow(); }
+  inline Index col()    const { return EvalIterator::col()   - m_block.startCol(); }
+
+  inline operator bool() const { return EvalIterator::operator bool() && EvalIterator::index() < m_end; }
+};
+
+template<typename ArgType, int BlockRows, int BlockCols, bool InnerPanel>
+class unary_evaluator<Block<ArgType,BlockRows,BlockCols,InnerPanel>, IteratorBased>::OuterVectorInnerIterator
+{
+  enum { IsRowMajor = unary_evaluator::IsRowMajor };
+  const unary_evaluator& m_eval;
+  Index m_outerPos;
+  const Index m_innerIndex;
+  Index m_end;
+  EvalIterator m_it;
+public:
+
+  EIGEN_STRONG_INLINE OuterVectorInnerIterator(const unary_evaluator& aEval, Index outer)
+    : m_eval(aEval),
+      m_outerPos( (IsRowMajor ? aEval.m_block.startCol() : aEval.m_block.startRow()) ),
+      m_innerIndex(IsRowMajor ? aEval.m_block.startRow() : aEval.m_block.startCol()),
+      m_end(IsRowMajor ? aEval.m_block.startCol()+aEval.m_block.blockCols() : aEval.m_block.startRow()+aEval.m_block.blockRows()),
+      m_it(m_eval.m_argImpl, m_outerPos)
+  {
+    EIGEN_UNUSED_VARIABLE(outer);
+    eigen_assert(outer==0);
+
+    while(m_it && m_it.index() < m_innerIndex) ++m_it;
+    if((!m_it) || (m_it.index()!=m_innerIndex))
+      ++(*this);
+  }
+
+  inline StorageIndex index() const { return convert_index<StorageIndex>(m_outerPos - (IsRowMajor ? m_eval.m_block.startCol() : m_eval.m_block.startRow())); }
+  inline Index outer()  const { return 0; }
+  inline Index row()    const { return IsRowMajor ? 0 : index(); }
+  inline Index col()    const { return IsRowMajor ? index() : 0; }
+
+  inline Scalar value() const { return m_it.value(); }
+  inline Scalar& valueRef() { return m_it.valueRef(); }
+
+  inline OuterVectorInnerIterator& operator++()
+  {
+    // search next non-zero entry
+    while(++m_outerPos<m_end)
+    {
+      // Restart iterator at the next inner-vector:
+      m_it.~EvalIterator();
+      ::new (&m_it) EvalIterator(m_eval.m_argImpl, m_outerPos);
+      // search for the key m_innerIndex in the current outer-vector
+      while(m_it && m_it.index() < m_innerIndex) ++m_it;
+      if(m_it && m_it.index()==m_innerIndex) break;
+    }
+    return *this;
+  }
+
+  inline operator bool() const { return m_outerPos < m_end; }
+};
+
+template<typename _Scalar, int _Options, typename _StorageIndex, int BlockRows, int BlockCols>
+struct unary_evaluator<Block<SparseMatrix<_Scalar, _Options, _StorageIndex>,BlockRows,BlockCols,true>, IteratorBased>
+  : evaluator<SparseCompressedBase<Block<SparseMatrix<_Scalar, _Options, _StorageIndex>,BlockRows,BlockCols,true> > >
+{
+  typedef Block<SparseMatrix<_Scalar, _Options, _StorageIndex>,BlockRows,BlockCols,true> XprType;
+  typedef evaluator<SparseCompressedBase<XprType> > Base;
+  explicit unary_evaluator(const XprType &xpr) : Base(xpr) {}
+};
+
+template<typename _Scalar, int _Options, typename _StorageIndex, int BlockRows, int BlockCols>
+struct unary_evaluator<Block<const SparseMatrix<_Scalar, _Options, _StorageIndex>,BlockRows,BlockCols,true>, IteratorBased>
+  : evaluator<SparseCompressedBase<Block<const SparseMatrix<_Scalar, _Options, _StorageIndex>,BlockRows,BlockCols,true> > >
+{
+  typedef Block<const SparseMatrix<_Scalar, _Options, _StorageIndex>,BlockRows,BlockCols,true> XprType;
+  typedef evaluator<SparseCompressedBase<XprType> > Base;
+  explicit unary_evaluator(const XprType &xpr) : Base(xpr) {}
+};
+
+} // end namespace internal
+
+
+} // end namespace Eigen
+
+#endif // EIGEN_SPARSE_BLOCK_H
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/SparseCore/MappedSparseMatrix.h
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/SparseCore/MappedSparseMatrix.h	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/SparseCore/MappedSparseMatrix.h	(revision 3761)
@@ -0,0 +1,67 @@
+// This file is part of Eigen, a lightweight C++ template library
+// for linear algebra.
+//
+// Copyright (C) 2008-2014 Gael Guennebaud <gael.guennebaud@inria.fr>
+//
+// This Source Code Form is subject to the terms of the Mozilla
+// Public License v. 2.0. If a copy of the MPL was not distributed
+// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
+
+#ifndef EIGEN_MAPPED_SPARSEMATRIX_H
+#define EIGEN_MAPPED_SPARSEMATRIX_H
+
+namespace Eigen {
+
+/** \deprecated Use Map<SparseMatrix<> >
+  * \class MappedSparseMatrix
+  *
+  * \brief Sparse matrix
+  *
+  * \param _Scalar the scalar type, i.e. the type of the coefficients
+  *
+  * See http://www.netlib.org/linalg/html_templates/node91.html for details on the storage scheme.
+  *
+  */
+namespace internal {
+template<typename _Scalar, int _Flags, typename _StorageIndex>
+struct traits<MappedSparseMatrix<_Scalar, _Flags, _StorageIndex> > : traits<SparseMatrix<_Scalar, _Flags, _StorageIndex> >
+{};
+} // end namespace internal
+
+template<typename _Scalar, int _Flags, typename _StorageIndex>
+class MappedSparseMatrix
+  : public Map<SparseMatrix<_Scalar, _Flags, _StorageIndex> >
+{
+    typedef Map<SparseMatrix<_Scalar, _Flags, _StorageIndex> > Base;
+
+  public:
+    
+    typedef typename Base::StorageIndex StorageIndex;
+    typedef typename Base::Scalar Scalar;
+
+    inline MappedSparseMatrix(Index rows, Index cols, Index nnz, StorageIndex* outerIndexPtr, StorageIndex* innerIndexPtr, Scalar* valuePtr, StorageIndex* innerNonZeroPtr = 0)
+      : Base(rows, cols, nnz, outerIndexPtr, innerIndexPtr, valuePtr, innerNonZeroPtr)
+    {}
+
+    /** Empty destructor */
+    inline ~MappedSparseMatrix() {}
+};
+
+namespace internal {
+
+template<typename _Scalar, int _Options, typename _StorageIndex>
+struct evaluator<MappedSparseMatrix<_Scalar,_Options,_StorageIndex> >
+  : evaluator<SparseCompressedBase<MappedSparseMatrix<_Scalar,_Options,_StorageIndex> > >
+{
+  typedef MappedSparseMatrix<_Scalar,_Options,_StorageIndex> XprType;
+  typedef evaluator<SparseCompressedBase<XprType> > Base;
+  
+  evaluator() : Base() {}
+  explicit evaluator(const XprType &mat) : Base(mat) {}
+};
+
+}
+
+} // end namespace Eigen
+
+#endif // EIGEN_MAPPED_SPARSEMATRIX_H
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/SparseCore/SparseSparseProductWithPruning.h
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/SparseCore/SparseSparseProductWithPruning.h	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/SparseCore/SparseSparseProductWithPruning.h	(revision 3761)
@@ -0,0 +1,198 @@
+// This file is part of Eigen, a lightweight C++ template library
+// for linear algebra.
+//
+// Copyright (C) 2008-2014 Gael Guennebaud <gael.guennebaud@inria.fr>
+//
+// This Source Code Form is subject to the terms of the Mozilla
+// Public License v. 2.0. If a copy of the MPL was not distributed
+// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
+
+#ifndef EIGEN_SPARSESPARSEPRODUCTWITHPRUNING_H
+#define EIGEN_SPARSESPARSEPRODUCTWITHPRUNING_H
+
+namespace Eigen { 
+
+namespace internal {
+
+
+// perform a pseudo in-place sparse * sparse product assuming all matrices are col major
+template<typename Lhs, typename Rhs, typename ResultType>
+static void sparse_sparse_product_with_pruning_impl(const Lhs& lhs, const Rhs& rhs, ResultType& res, const typename ResultType::RealScalar& tolerance)
+{
+  // return sparse_sparse_product_with_pruning_impl2(lhs,rhs,res);
+
+  typedef typename remove_all<Rhs>::type::Scalar RhsScalar;
+  typedef typename remove_all<ResultType>::type::Scalar ResScalar;
+  typedef typename remove_all<Lhs>::type::StorageIndex StorageIndex;
+
+  // make sure to call innerSize/outerSize since we fake the storage order.
+  Index rows = lhs.innerSize();
+  Index cols = rhs.outerSize();
+  //Index size = lhs.outerSize();
+  eigen_assert(lhs.outerSize() == rhs.innerSize());
+
+  // allocate a temporary buffer
+  AmbiVector<ResScalar,StorageIndex> tempVector(rows);
+
+  // mimics a resizeByInnerOuter:
+  if(ResultType::IsRowMajor)
+    res.resize(cols, rows);
+  else
+    res.resize(rows, cols);
+  
+  evaluator<Lhs> lhsEval(lhs);
+  evaluator<Rhs> rhsEval(rhs);
+  
+  // estimate the number of non zero entries
+  // given a rhs column containing Y non zeros, we assume that the respective Y columns
+  // of the lhs differs in average of one non zeros, thus the number of non zeros for
+  // the product of a rhs column with the lhs is X+Y where X is the average number of non zero
+  // per column of the lhs.
+  // Therefore, we have nnz(lhs*rhs) = nnz(lhs) + nnz(rhs)
+  Index estimated_nnz_prod = lhsEval.nonZerosEstimate() + rhsEval.nonZerosEstimate();
+
+  res.reserve(estimated_nnz_prod);
+  double ratioColRes = double(estimated_nnz_prod)/(double(lhs.rows())*double(rhs.cols()));
+  for (Index j=0; j<cols; ++j)
+  {
+    // FIXME:
+    //double ratioColRes = (double(rhs.innerVector(j).nonZeros()) + double(lhs.nonZeros())/double(lhs.cols()))/double(lhs.rows());
+    // let's do a more accurate determination of the nnz ratio for the current column j of res
+    tempVector.init(ratioColRes);
+    tempVector.setZero();
+    for (typename evaluator<Rhs>::InnerIterator rhsIt(rhsEval, j); rhsIt; ++rhsIt)
+    {
+      // FIXME should be written like this: tmp += rhsIt.value() * lhs.col(rhsIt.index())
+      tempVector.restart();
+      RhsScalar x = rhsIt.value();
+      for (typename evaluator<Lhs>::InnerIterator lhsIt(lhsEval, rhsIt.index()); lhsIt; ++lhsIt)
+      {
+        tempVector.coeffRef(lhsIt.index()) += lhsIt.value() * x;
+      }
+    }
+    res.startVec(j);
+    for (typename AmbiVector<ResScalar,StorageIndex>::Iterator it(tempVector,tolerance); it; ++it)
+      res.insertBackByOuterInner(j,it.index()) = it.value();
+  }
+  res.finalize();
+}
+
+template<typename Lhs, typename Rhs, typename ResultType,
+  int LhsStorageOrder = traits<Lhs>::Flags&RowMajorBit,
+  int RhsStorageOrder = traits<Rhs>::Flags&RowMajorBit,
+  int ResStorageOrder = traits<ResultType>::Flags&RowMajorBit>
+struct sparse_sparse_product_with_pruning_selector;
+
+template<typename Lhs, typename Rhs, typename ResultType>
+struct sparse_sparse_product_with_pruning_selector<Lhs,Rhs,ResultType,ColMajor,ColMajor,ColMajor>
+{
+  typedef typename ResultType::RealScalar RealScalar;
+
+  static void run(const Lhs& lhs, const Rhs& rhs, ResultType& res, const RealScalar& tolerance)
+  {
+    typename remove_all<ResultType>::type _res(res.rows(), res.cols());
+    internal::sparse_sparse_product_with_pruning_impl<Lhs,Rhs,ResultType>(lhs, rhs, _res, tolerance);
+    res.swap(_res);
+  }
+};
+
+template<typename Lhs, typename Rhs, typename ResultType>
+struct sparse_sparse_product_with_pruning_selector<Lhs,Rhs,ResultType,ColMajor,ColMajor,RowMajor>
+{
+  typedef typename ResultType::RealScalar RealScalar;
+  static void run(const Lhs& lhs, const Rhs& rhs, ResultType& res, const RealScalar& tolerance)
+  {
+    // we need a col-major matrix to hold the result
+    typedef SparseMatrix<typename ResultType::Scalar,ColMajor,typename ResultType::StorageIndex> SparseTemporaryType;
+    SparseTemporaryType _res(res.rows(), res.cols());
+    internal::sparse_sparse_product_with_pruning_impl<Lhs,Rhs,SparseTemporaryType>(lhs, rhs, _res, tolerance);
+    res = _res;
+  }
+};
+
+template<typename Lhs, typename Rhs, typename ResultType>
+struct sparse_sparse_product_with_pruning_selector<Lhs,Rhs,ResultType,RowMajor,RowMajor,RowMajor>
+{
+  typedef typename ResultType::RealScalar RealScalar;
+  static void run(const Lhs& lhs, const Rhs& rhs, ResultType& res, const RealScalar& tolerance)
+  {
+    // let's transpose the product to get a column x column product
+    typename remove_all<ResultType>::type _res(res.rows(), res.cols());
+    internal::sparse_sparse_product_with_pruning_impl<Rhs,Lhs,ResultType>(rhs, lhs, _res, tolerance);
+    res.swap(_res);
+  }
+};
+
+template<typename Lhs, typename Rhs, typename ResultType>
+struct sparse_sparse_product_with_pruning_selector<Lhs,Rhs,ResultType,RowMajor,RowMajor,ColMajor>
+{
+  typedef typename ResultType::RealScalar RealScalar;
+  static void run(const Lhs& lhs, const Rhs& rhs, ResultType& res, const RealScalar& tolerance)
+  {
+    typedef SparseMatrix<typename Lhs::Scalar,ColMajor,typename Lhs::StorageIndex> ColMajorMatrixLhs;
+    typedef SparseMatrix<typename Rhs::Scalar,ColMajor,typename Lhs::StorageIndex> ColMajorMatrixRhs;
+    ColMajorMatrixLhs colLhs(lhs);
+    ColMajorMatrixRhs colRhs(rhs);
+    internal::sparse_sparse_product_with_pruning_impl<ColMajorMatrixLhs,ColMajorMatrixRhs,ResultType>(colLhs, colRhs, res, tolerance);
+
+    // let's transpose the product to get a column x column product
+//     typedef SparseMatrix<typename ResultType::Scalar> SparseTemporaryType;
+//     SparseTemporaryType _res(res.cols(), res.rows());
+//     sparse_sparse_product_with_pruning_impl<Rhs,Lhs,SparseTemporaryType>(rhs, lhs, _res);
+//     res = _res.transpose();
+  }
+};
+
+template<typename Lhs, typename Rhs, typename ResultType>
+struct sparse_sparse_product_with_pruning_selector<Lhs,Rhs,ResultType,ColMajor,RowMajor,RowMajor>
+{
+  typedef typename ResultType::RealScalar RealScalar;
+  static void run(const Lhs& lhs, const Rhs& rhs, ResultType& res, const RealScalar& tolerance)
+  {
+    typedef SparseMatrix<typename Lhs::Scalar,RowMajor,typename Lhs::StorageIndex> RowMajorMatrixLhs;
+    RowMajorMatrixLhs rowLhs(lhs);
+    sparse_sparse_product_with_pruning_selector<RowMajorMatrixLhs,Rhs,ResultType,RowMajor,RowMajor>(rowLhs,rhs,res,tolerance);
+  }
+};
+
+template<typename Lhs, typename Rhs, typename ResultType>
+struct sparse_sparse_product_with_pruning_selector<Lhs,Rhs,ResultType,RowMajor,ColMajor,RowMajor>
+{
+  typedef typename ResultType::RealScalar RealScalar;
+  static void run(const Lhs& lhs, const Rhs& rhs, ResultType& res, const RealScalar& tolerance)
+  {
+    typedef SparseMatrix<typename Rhs::Scalar,RowMajor,typename Lhs::StorageIndex> RowMajorMatrixRhs;
+    RowMajorMatrixRhs rowRhs(rhs);
+    sparse_sparse_product_with_pruning_selector<Lhs,RowMajorMatrixRhs,ResultType,RowMajor,RowMajor,RowMajor>(lhs,rowRhs,res,tolerance);
+  }
+};
+
+template<typename Lhs, typename Rhs, typename ResultType>
+struct sparse_sparse_product_with_pruning_selector<Lhs,Rhs,ResultType,ColMajor,RowMajor,ColMajor>
+{
+  typedef typename ResultType::RealScalar RealScalar;
+  static void run(const Lhs& lhs, const Rhs& rhs, ResultType& res, const RealScalar& tolerance)
+  {
+    typedef SparseMatrix<typename Rhs::Scalar,ColMajor,typename Lhs::StorageIndex> ColMajorMatrixRhs;
+    ColMajorMatrixRhs colRhs(rhs);
+    internal::sparse_sparse_product_with_pruning_impl<Lhs,ColMajorMatrixRhs,ResultType>(lhs, colRhs, res, tolerance);
+  }
+};
+
+template<typename Lhs, typename Rhs, typename ResultType>
+struct sparse_sparse_product_with_pruning_selector<Lhs,Rhs,ResultType,RowMajor,ColMajor,ColMajor>
+{
+  typedef typename ResultType::RealScalar RealScalar;
+  static void run(const Lhs& lhs, const Rhs& rhs, ResultType& res, const RealScalar& tolerance)
+  {
+    typedef SparseMatrix<typename Lhs::Scalar,ColMajor,typename Lhs::StorageIndex> ColMajorMatrixLhs;
+    ColMajorMatrixLhs colLhs(lhs);
+    internal::sparse_sparse_product_with_pruning_impl<ColMajorMatrixLhs,Rhs,ResultType>(colLhs, rhs, res, tolerance);
+  }
+};
+
+} // end namespace internal
+
+} // end namespace Eigen
+
+#endif // EIGEN_SPARSESPARSEPRODUCTWITHPRUNING_H
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/SparseCore/SparseSelfAdjointView.h
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/SparseCore/SparseSelfAdjointView.h	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/SparseCore/SparseSelfAdjointView.h	(revision 3761)
@@ -0,0 +1,656 @@
+// This file is part of Eigen, a lightweight C++ template library
+// for linear algebra.
+//
+// Copyright (C) 2009-2014 Gael Guennebaud <gael.guennebaud@inria.fr>
+//
+// This Source Code Form is subject to the terms of the Mozilla
+// Public License v. 2.0. If a copy of the MPL was not distributed
+// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
+
+#ifndef EIGEN_SPARSE_SELFADJOINTVIEW_H
+#define EIGEN_SPARSE_SELFADJOINTVIEW_H
+
+namespace Eigen { 
+  
+/** \ingroup SparseCore_Module
+  * \class SparseSelfAdjointView
+  *
+  * \brief Pseudo expression to manipulate a triangular sparse matrix as a selfadjoint matrix.
+  *
+  * \param MatrixType the type of the dense matrix storing the coefficients
+  * \param Mode can be either \c #Lower or \c #Upper
+  *
+  * This class is an expression of a sefladjoint matrix from a triangular part of a matrix
+  * with given dense storage of the coefficients. It is the return type of MatrixBase::selfadjointView()
+  * and most of the time this is the only way that it is used.
+  *
+  * \sa SparseMatrixBase::selfadjointView()
+  */
+namespace internal {
+  
+template<typename MatrixType, unsigned int Mode>
+struct traits<SparseSelfAdjointView<MatrixType,Mode> > : traits<MatrixType> {
+};
+
+template<int SrcMode,int DstMode,typename MatrixType,int DestOrder>
+void permute_symm_to_symm(const MatrixType& mat, SparseMatrix<typename MatrixType::Scalar,DestOrder,typename MatrixType::StorageIndex>& _dest, const typename MatrixType::StorageIndex* perm = 0);
+
+template<int Mode,typename MatrixType,int DestOrder>
+void permute_symm_to_fullsymm(const MatrixType& mat, SparseMatrix<typename MatrixType::Scalar,DestOrder,typename MatrixType::StorageIndex>& _dest, const typename MatrixType::StorageIndex* perm = 0);
+
+}
+
+template<typename MatrixType, unsigned int _Mode> class SparseSelfAdjointView
+  : public EigenBase<SparseSelfAdjointView<MatrixType,_Mode> >
+{
+  public:
+    
+    enum {
+      Mode = _Mode,
+      TransposeMode = ((Mode & Upper) ? Lower : 0) | ((Mode & Lower) ? Upper : 0),
+      RowsAtCompileTime = internal::traits<SparseSelfAdjointView>::RowsAtCompileTime,
+      ColsAtCompileTime = internal::traits<SparseSelfAdjointView>::ColsAtCompileTime
+    };
+
+    typedef EigenBase<SparseSelfAdjointView> Base;
+    typedef typename MatrixType::Scalar Scalar;
+    typedef typename MatrixType::StorageIndex StorageIndex;
+    typedef Matrix<StorageIndex,Dynamic,1> VectorI;
+    typedef typename internal::ref_selector<MatrixType>::non_const_type MatrixTypeNested;
+    typedef typename internal::remove_all<MatrixTypeNested>::type _MatrixTypeNested;
+    
+    explicit inline SparseSelfAdjointView(MatrixType& matrix) : m_matrix(matrix)
+    {
+      eigen_assert(rows()==cols() && "SelfAdjointView is only for squared matrices");
+    }
+
+    inline Index rows() const { return m_matrix.rows(); }
+    inline Index cols() const { return m_matrix.cols(); }
+
+    /** \internal \returns a reference to the nested matrix */
+    const _MatrixTypeNested& matrix() const { return m_matrix; }
+    typename internal::remove_reference<MatrixTypeNested>::type& matrix() { return m_matrix; }
+
+    /** \returns an expression of the matrix product between a sparse self-adjoint matrix \c *this and a sparse matrix \a rhs.
+      *
+      * Note that there is no algorithmic advantage of performing such a product compared to a general sparse-sparse matrix product.
+      * Indeed, the SparseSelfadjointView operand is first copied into a temporary SparseMatrix before computing the product.
+      */
+    template<typename OtherDerived>
+    Product<SparseSelfAdjointView, OtherDerived>
+    operator*(const SparseMatrixBase<OtherDerived>& rhs) const
+    {
+      return Product<SparseSelfAdjointView, OtherDerived>(*this, rhs.derived());
+    }
+
+    /** \returns an expression of the matrix product between a sparse matrix \a lhs and a sparse self-adjoint matrix \a rhs.
+      *
+      * Note that there is no algorithmic advantage of performing such a product compared to a general sparse-sparse matrix product.
+      * Indeed, the SparseSelfadjointView operand is first copied into a temporary SparseMatrix before computing the product.
+      */
+    template<typename OtherDerived> friend
+    Product<OtherDerived, SparseSelfAdjointView>
+    operator*(const SparseMatrixBase<OtherDerived>& lhs, const SparseSelfAdjointView& rhs)
+    {
+      return Product<OtherDerived, SparseSelfAdjointView>(lhs.derived(), rhs);
+    }
+    
+    /** Efficient sparse self-adjoint matrix times dense vector/matrix product */
+    template<typename OtherDerived>
+    Product<SparseSelfAdjointView,OtherDerived>
+    operator*(const MatrixBase<OtherDerived>& rhs) const
+    {
+      return Product<SparseSelfAdjointView,OtherDerived>(*this, rhs.derived());
+    }
+
+    /** Efficient dense vector/matrix times sparse self-adjoint matrix product */
+    template<typename OtherDerived> friend
+    Product<OtherDerived,SparseSelfAdjointView>
+    operator*(const MatrixBase<OtherDerived>& lhs, const SparseSelfAdjointView& rhs)
+    {
+      return Product<OtherDerived,SparseSelfAdjointView>(lhs.derived(), rhs);
+    }
+
+    /** Perform a symmetric rank K update of the selfadjoint matrix \c *this:
+      * \f$ this = this + \alpha ( u u^* ) \f$ where \a u is a vector or matrix.
+      *
+      * \returns a reference to \c *this
+      *
+      * To perform \f$ this = this + \alpha ( u^* u ) \f$ you can simply
+      * call this function with u.adjoint().
+      */
+    template<typename DerivedU>
+    SparseSelfAdjointView& rankUpdate(const SparseMatrixBase<DerivedU>& u, const Scalar& alpha = Scalar(1));
+    
+    /** \returns an expression of P H P^-1 */
+    // TODO implement twists in a more evaluator friendly fashion
+    SparseSymmetricPermutationProduct<_MatrixTypeNested,Mode> twistedBy(const PermutationMatrix<Dynamic,Dynamic,StorageIndex>& perm) const
+    {
+      return SparseSymmetricPermutationProduct<_MatrixTypeNested,Mode>(m_matrix, perm);
+    }
+
+    template<typename SrcMatrixType,int SrcMode>
+    SparseSelfAdjointView& operator=(const SparseSymmetricPermutationProduct<SrcMatrixType,SrcMode>& permutedMatrix)
+    {
+      internal::call_assignment_no_alias_no_transpose(*this, permutedMatrix);
+      return *this;
+    }
+
+    SparseSelfAdjointView& operator=(const SparseSelfAdjointView& src)
+    {
+      PermutationMatrix<Dynamic,Dynamic,StorageIndex> pnull;
+      return *this = src.twistedBy(pnull);
+    }
+
+    template<typename SrcMatrixType,unsigned int SrcMode>
+    SparseSelfAdjointView& operator=(const SparseSelfAdjointView<SrcMatrixType,SrcMode>& src)
+    {
+      PermutationMatrix<Dynamic,Dynamic,StorageIndex> pnull;
+      return *this = src.twistedBy(pnull);
+    }
+    
+    void resize(Index rows, Index cols)
+    {
+      EIGEN_ONLY_USED_FOR_DEBUG(rows);
+      EIGEN_ONLY_USED_FOR_DEBUG(cols);
+      eigen_assert(rows == this->rows() && cols == this->cols()
+                && "SparseSelfadjointView::resize() does not actually allow to resize.");
+    }
+    
+  protected:
+
+    MatrixTypeNested m_matrix;
+    //mutable VectorI m_countPerRow;
+    //mutable VectorI m_countPerCol;
+  private:
+    template<typename Dest> void evalTo(Dest &) const;
+};
+
+/***************************************************************************
+* Implementation of SparseMatrixBase methods
+***************************************************************************/
+
+template<typename Derived>
+template<unsigned int UpLo>
+typename SparseMatrixBase<Derived>::template ConstSelfAdjointViewReturnType<UpLo>::Type SparseMatrixBase<Derived>::selfadjointView() const
+{
+  return SparseSelfAdjointView<const Derived, UpLo>(derived());
+}
+
+template<typename Derived>
+template<unsigned int UpLo>
+typename SparseMatrixBase<Derived>::template SelfAdjointViewReturnType<UpLo>::Type SparseMatrixBase<Derived>::selfadjointView()
+{
+  return SparseSelfAdjointView<Derived, UpLo>(derived());
+}
+
+/***************************************************************************
+* Implementation of SparseSelfAdjointView methods
+***************************************************************************/
+
+template<typename MatrixType, unsigned int Mode>
+template<typename DerivedU>
+SparseSelfAdjointView<MatrixType,Mode>&
+SparseSelfAdjointView<MatrixType,Mode>::rankUpdate(const SparseMatrixBase<DerivedU>& u, const Scalar& alpha)
+{
+  SparseMatrix<Scalar,(MatrixType::Flags&RowMajorBit)?RowMajor:ColMajor> tmp = u * u.adjoint();
+  if(alpha==Scalar(0))
+    m_matrix = tmp.template triangularView<Mode>();
+  else
+    m_matrix += alpha * tmp.template triangularView<Mode>();
+
+  return *this;
+}
+
+namespace internal {
+  
+// TODO currently a selfadjoint expression has the form SelfAdjointView<.,.>
+//      in the future selfadjoint-ness should be defined by the expression traits
+//      such that Transpose<SelfAdjointView<.,.> > is valid. (currently TriangularBase::transpose() is overloaded to make it work)
+template<typename MatrixType, unsigned int Mode>
+struct evaluator_traits<SparseSelfAdjointView<MatrixType,Mode> >
+{
+  typedef typename storage_kind_to_evaluator_kind<typename MatrixType::StorageKind>::Kind Kind;
+  typedef SparseSelfAdjointShape Shape;
+};
+
+struct SparseSelfAdjoint2Sparse {};
+
+template<> struct AssignmentKind<SparseShape,SparseSelfAdjointShape> { typedef SparseSelfAdjoint2Sparse Kind; };
+template<> struct AssignmentKind<SparseSelfAdjointShape,SparseShape> { typedef Sparse2Sparse Kind; };
+
+template< typename DstXprType, typename SrcXprType, typename Functor>
+struct Assignment<DstXprType, SrcXprType, Functor, SparseSelfAdjoint2Sparse>
+{
+  typedef typename DstXprType::StorageIndex StorageIndex;
+  typedef internal::assign_op<typename DstXprType::Scalar,typename SrcXprType::Scalar> AssignOpType;
+
+  template<typename DestScalar,int StorageOrder>
+  static void run(SparseMatrix<DestScalar,StorageOrder,StorageIndex> &dst, const SrcXprType &src, const AssignOpType&/*func*/)
+  {
+    internal::permute_symm_to_fullsymm<SrcXprType::Mode>(src.matrix(), dst);
+  }
+
+  // FIXME: the handling of += and -= in sparse matrices should be cleanup so that next two overloads could be reduced to:
+  template<typename DestScalar,int StorageOrder,typename AssignFunc>
+  static void run(SparseMatrix<DestScalar,StorageOrder,StorageIndex> &dst, const SrcXprType &src, const AssignFunc& func)
+  {
+    SparseMatrix<DestScalar,StorageOrder,StorageIndex> tmp(src.rows(),src.cols());
+    run(tmp, src, AssignOpType());
+    call_assignment_no_alias_no_transpose(dst, tmp, func);
+  }
+
+  template<typename DestScalar,int StorageOrder>
+  static void run(SparseMatrix<DestScalar,StorageOrder,StorageIndex> &dst, const SrcXprType &src,
+                  const internal::add_assign_op<typename DstXprType::Scalar,typename SrcXprType::Scalar>& /* func */)
+  {
+    SparseMatrix<DestScalar,StorageOrder,StorageIndex> tmp(src.rows(),src.cols());
+    run(tmp, src, AssignOpType());
+    dst += tmp;
+  }
+
+  template<typename DestScalar,int StorageOrder>
+  static void run(SparseMatrix<DestScalar,StorageOrder,StorageIndex> &dst, const SrcXprType &src,
+                  const internal::sub_assign_op<typename DstXprType::Scalar,typename SrcXprType::Scalar>& /* func */)
+  {
+    SparseMatrix<DestScalar,StorageOrder,StorageIndex> tmp(src.rows(),src.cols());
+    run(tmp, src, AssignOpType());
+    dst -= tmp;
+  }
+  
+  template<typename DestScalar>
+  static void run(DynamicSparseMatrix<DestScalar,ColMajor,StorageIndex>& dst, const SrcXprType &src, const AssignOpType&/*func*/)
+  {
+    // TODO directly evaluate into dst;
+    SparseMatrix<DestScalar,ColMajor,StorageIndex> tmp(dst.rows(),dst.cols());
+    internal::permute_symm_to_fullsymm<SrcXprType::Mode>(src.matrix(), tmp);
+    dst = tmp;
+  }
+};
+
+} // end namespace internal
+
+/***************************************************************************
+* Implementation of sparse self-adjoint time dense matrix
+***************************************************************************/
+
+namespace internal {
+
+template<int Mode, typename SparseLhsType, typename DenseRhsType, typename DenseResType, typename AlphaType>
+inline void sparse_selfadjoint_time_dense_product(const SparseLhsType& lhs, const DenseRhsType& rhs, DenseResType& res, const AlphaType& alpha)
+{
+  EIGEN_ONLY_USED_FOR_DEBUG(alpha);
+  
+  typedef typename internal::nested_eval<SparseLhsType,DenseRhsType::MaxColsAtCompileTime>::type SparseLhsTypeNested;
+  typedef typename internal::remove_all<SparseLhsTypeNested>::type SparseLhsTypeNestedCleaned;
+  typedef evaluator<SparseLhsTypeNestedCleaned> LhsEval;
+  typedef typename LhsEval::InnerIterator LhsIterator;
+  typedef typename SparseLhsType::Scalar LhsScalar;
+  
+  enum {
+    LhsIsRowMajor = (LhsEval::Flags&RowMajorBit)==RowMajorBit,
+    ProcessFirstHalf =
+              ((Mode&(Upper|Lower))==(Upper|Lower))
+          || ( (Mode&Upper) && !LhsIsRowMajor)
+          || ( (Mode&Lower) && LhsIsRowMajor),
+    ProcessSecondHalf = !ProcessFirstHalf
+  };
+  
+  SparseLhsTypeNested lhs_nested(lhs);
+  LhsEval lhsEval(lhs_nested);
+
+  // work on one column at once
+  for (Index k=0; k<rhs.cols(); ++k)
+  {
+    for (Index j=0; j<lhs.outerSize(); ++j)
+    {
+      LhsIterator i(lhsEval,j);
+      // handle diagonal coeff
+      if (ProcessSecondHalf)
+      {
+        while (i && i.index()<j) ++i;
+        if(i && i.index()==j)
+        {
+          res.coeffRef(j,k) += alpha * i.value() * rhs.coeff(j,k);
+          ++i;
+        }
+      }
+
+      // premultiplied rhs for scatters
+      typename ScalarBinaryOpTraits<AlphaType, typename DenseRhsType::Scalar>::ReturnType rhs_j(alpha*rhs(j,k));
+      // accumulator for partial scalar product
+      typename DenseResType::Scalar res_j(0);
+      for(; (ProcessFirstHalf ? i && i.index() < j : i) ; ++i)
+      {
+        LhsScalar lhs_ij = i.value();
+        if(!LhsIsRowMajor) lhs_ij = numext::conj(lhs_ij);
+        res_j += lhs_ij * rhs.coeff(i.index(),k);
+        res(i.index(),k) += numext::conj(lhs_ij) * rhs_j;
+      }
+      res.coeffRef(j,k) += alpha * res_j;
+
+      // handle diagonal coeff
+      if (ProcessFirstHalf && i && (i.index()==j))
+        res.coeffRef(j,k) += alpha * i.value() * rhs.coeff(j,k);
+    }
+  }
+}
+
+
+template<typename LhsView, typename Rhs, int ProductType>
+struct generic_product_impl<LhsView, Rhs, SparseSelfAdjointShape, DenseShape, ProductType>
+: generic_product_impl_base<LhsView, Rhs, generic_product_impl<LhsView, Rhs, SparseSelfAdjointShape, DenseShape, ProductType> >
+{
+  template<typename Dest>
+  static void scaleAndAddTo(Dest& dst, const LhsView& lhsView, const Rhs& rhs, const typename Dest::Scalar& alpha)
+  {
+    typedef typename LhsView::_MatrixTypeNested Lhs;
+    typedef typename nested_eval<Lhs,Dynamic>::type LhsNested;
+    typedef typename nested_eval<Rhs,Dynamic>::type RhsNested;
+    LhsNested lhsNested(lhsView.matrix());
+    RhsNested rhsNested(rhs);
+    
+    internal::sparse_selfadjoint_time_dense_product<LhsView::Mode>(lhsNested, rhsNested, dst, alpha);
+  }
+};
+
+template<typename Lhs, typename RhsView, int ProductType>
+struct generic_product_impl<Lhs, RhsView, DenseShape, SparseSelfAdjointShape, ProductType>
+: generic_product_impl_base<Lhs, RhsView, generic_product_impl<Lhs, RhsView, DenseShape, SparseSelfAdjointShape, ProductType> >
+{
+  template<typename Dest>
+  static void scaleAndAddTo(Dest& dst, const Lhs& lhs, const RhsView& rhsView, const typename Dest::Scalar& alpha)
+  {
+    typedef typename RhsView::_MatrixTypeNested Rhs;
+    typedef typename nested_eval<Lhs,Dynamic>::type LhsNested;
+    typedef typename nested_eval<Rhs,Dynamic>::type RhsNested;
+    LhsNested lhsNested(lhs);
+    RhsNested rhsNested(rhsView.matrix());
+    
+    // transpose everything
+    Transpose<Dest> dstT(dst);
+    internal::sparse_selfadjoint_time_dense_product<RhsView::TransposeMode>(rhsNested.transpose(), lhsNested.transpose(), dstT, alpha);
+  }
+};
+
+// NOTE: these two overloads are needed to evaluate the sparse selfadjoint view into a full sparse matrix
+// TODO: maybe the copy could be handled by generic_product_impl so that these overloads would not be needed anymore
+
+template<typename LhsView, typename Rhs, int ProductTag>
+struct product_evaluator<Product<LhsView, Rhs, DefaultProduct>, ProductTag, SparseSelfAdjointShape, SparseShape>
+  : public evaluator<typename Product<typename Rhs::PlainObject, Rhs, DefaultProduct>::PlainObject>
+{
+  typedef Product<LhsView, Rhs, DefaultProduct> XprType;
+  typedef typename XprType::PlainObject PlainObject;
+  typedef evaluator<PlainObject> Base;
+
+  product_evaluator(const XprType& xpr)
+    : m_lhs(xpr.lhs()), m_result(xpr.rows(), xpr.cols())
+  {
+    ::new (static_cast<Base*>(this)) Base(m_result);
+    generic_product_impl<typename Rhs::PlainObject, Rhs, SparseShape, SparseShape, ProductTag>::evalTo(m_result, m_lhs, xpr.rhs());
+  }
+  
+protected:
+  typename Rhs::PlainObject m_lhs;
+  PlainObject m_result;
+};
+
+template<typename Lhs, typename RhsView, int ProductTag>
+struct product_evaluator<Product<Lhs, RhsView, DefaultProduct>, ProductTag, SparseShape, SparseSelfAdjointShape>
+  : public evaluator<typename Product<Lhs, typename Lhs::PlainObject, DefaultProduct>::PlainObject>
+{
+  typedef Product<Lhs, RhsView, DefaultProduct> XprType;
+  typedef typename XprType::PlainObject PlainObject;
+  typedef evaluator<PlainObject> Base;
+
+  product_evaluator(const XprType& xpr)
+    : m_rhs(xpr.rhs()), m_result(xpr.rows(), xpr.cols())
+  {
+    ::new (static_cast<Base*>(this)) Base(m_result);
+    generic_product_impl<Lhs, typename Lhs::PlainObject, SparseShape, SparseShape, ProductTag>::evalTo(m_result, xpr.lhs(), m_rhs);
+  }
+  
+protected:
+  typename Lhs::PlainObject m_rhs;
+  PlainObject m_result;
+};
+
+} // namespace internal
+
+/***************************************************************************
+* Implementation of symmetric copies and permutations
+***************************************************************************/
+namespace internal {
+
+template<int Mode,typename MatrixType,int DestOrder>
+void permute_symm_to_fullsymm(const MatrixType& mat, SparseMatrix<typename MatrixType::Scalar,DestOrder,typename MatrixType::StorageIndex>& _dest, const typename MatrixType::StorageIndex* perm)
+{
+  typedef typename MatrixType::StorageIndex StorageIndex;
+  typedef typename MatrixType::Scalar Scalar;
+  typedef SparseMatrix<Scalar,DestOrder,StorageIndex> Dest;
+  typedef Matrix<StorageIndex,Dynamic,1> VectorI;
+  typedef evaluator<MatrixType> MatEval;
+  typedef typename evaluator<MatrixType>::InnerIterator MatIterator;
+  
+  MatEval matEval(mat);
+  Dest& dest(_dest.derived());
+  enum {
+    StorageOrderMatch = int(Dest::IsRowMajor) == int(MatrixType::IsRowMajor)
+  };
+  
+  Index size = mat.rows();
+  VectorI count;
+  count.resize(size);
+  count.setZero();
+  dest.resize(size,size);
+  for(Index j = 0; j<size; ++j)
+  {
+    Index jp = perm ? perm[j] : j;
+    for(MatIterator it(matEval,j); it; ++it)
+    {
+      Index i = it.index();
+      Index r = it.row();
+      Index c = it.col();
+      Index ip = perm ? perm[i] : i;
+      if(Mode==int(Upper|Lower))
+        count[StorageOrderMatch ? jp : ip]++;
+      else if(r==c)
+        count[ip]++;
+      else if(( Mode==Lower && r>c) || ( Mode==Upper && r<c))
+      {
+        count[ip]++;
+        count[jp]++;
+      }
+    }
+  }
+  Index nnz = count.sum();
+  
+  // reserve space
+  dest.resizeNonZeros(nnz);
+  dest.outerIndexPtr()[0] = 0;
+  for(Index j=0; j<size; ++j)
+    dest.outerIndexPtr()[j+1] = dest.outerIndexPtr()[j] + count[j];
+  for(Index j=0; j<size; ++j)
+    count[j] = dest.outerIndexPtr()[j];
+  
+  // copy data
+  for(StorageIndex j = 0; j<size; ++j)
+  {
+    for(MatIterator it(matEval,j); it; ++it)
+    {
+      StorageIndex i = internal::convert_index<StorageIndex>(it.index());
+      Index r = it.row();
+      Index c = it.col();
+      
+      StorageIndex jp = perm ? perm[j] : j;
+      StorageIndex ip = perm ? perm[i] : i;
+      
+      if(Mode==int(Upper|Lower))
+      {
+        Index k = count[StorageOrderMatch ? jp : ip]++;
+        dest.innerIndexPtr()[k] = StorageOrderMatch ? ip : jp;
+        dest.valuePtr()[k] = it.value();
+      }
+      else if(r==c)
+      {
+        Index k = count[ip]++;
+        dest.innerIndexPtr()[k] = ip;
+        dest.valuePtr()[k] = it.value();
+      }
+      else if(( (Mode&Lower)==Lower && r>c) || ( (Mode&Upper)==Upper && r<c))
+      {
+        if(!StorageOrderMatch)
+          std::swap(ip,jp);
+        Index k = count[jp]++;
+        dest.innerIndexPtr()[k] = ip;
+        dest.valuePtr()[k] = it.value();
+        k = count[ip]++;
+        dest.innerIndexPtr()[k] = jp;
+        dest.valuePtr()[k] = numext::conj(it.value());
+      }
+    }
+  }
+}
+
+template<int _SrcMode,int _DstMode,typename MatrixType,int DstOrder>
+void permute_symm_to_symm(const MatrixType& mat, SparseMatrix<typename MatrixType::Scalar,DstOrder,typename MatrixType::StorageIndex>& _dest, const typename MatrixType::StorageIndex* perm)
+{
+  typedef typename MatrixType::StorageIndex StorageIndex;
+  typedef typename MatrixType::Scalar Scalar;
+  SparseMatrix<Scalar,DstOrder,StorageIndex>& dest(_dest.derived());
+  typedef Matrix<StorageIndex,Dynamic,1> VectorI;
+  typedef evaluator<MatrixType> MatEval;
+  typedef typename evaluator<MatrixType>::InnerIterator MatIterator;
+
+  enum {
+    SrcOrder = MatrixType::IsRowMajor ? RowMajor : ColMajor,
+    StorageOrderMatch = int(SrcOrder) == int(DstOrder),
+    DstMode = DstOrder==RowMajor ? (_DstMode==Upper ? Lower : Upper) : _DstMode,
+    SrcMode = SrcOrder==RowMajor ? (_SrcMode==Upper ? Lower : Upper) : _SrcMode
+  };
+
+  MatEval matEval(mat);
+  
+  Index size = mat.rows();
+  VectorI count(size);
+  count.setZero();
+  dest.resize(size,size);
+  for(StorageIndex j = 0; j<size; ++j)
+  {
+    StorageIndex jp = perm ? perm[j] : j;
+    for(MatIterator it(matEval,j); it; ++it)
+    {
+      StorageIndex i = it.index();
+      if((int(SrcMode)==int(Lower) && i<j) || (int(SrcMode)==int(Upper) && i>j))
+        continue;
+                  
+      StorageIndex ip = perm ? perm[i] : i;
+      count[int(DstMode)==int(Lower) ? (std::min)(ip,jp) : (std::max)(ip,jp)]++;
+    }
+  }
+  dest.outerIndexPtr()[0] = 0;
+  for(Index j=0; j<size; ++j)
+    dest.outerIndexPtr()[j+1] = dest.outerIndexPtr()[j] + count[j];
+  dest.resizeNonZeros(dest.outerIndexPtr()[size]);
+  for(Index j=0; j<size; ++j)
+    count[j] = dest.outerIndexPtr()[j];
+  
+  for(StorageIndex j = 0; j<size; ++j)
+  {
+    
+    for(MatIterator it(matEval,j); it; ++it)
+    {
+      StorageIndex i = it.index();
+      if((int(SrcMode)==int(Lower) && i<j) || (int(SrcMode)==int(Upper) && i>j))
+        continue;
+                  
+      StorageIndex jp = perm ? perm[j] : j;
+      StorageIndex ip = perm? perm[i] : i;
+      
+      Index k = count[int(DstMode)==int(Lower) ? (std::min)(ip,jp) : (std::max)(ip,jp)]++;
+      dest.innerIndexPtr()[k] = int(DstMode)==int(Lower) ? (std::max)(ip,jp) : (std::min)(ip,jp);
+      
+      if(!StorageOrderMatch) std::swap(ip,jp);
+      if( ((int(DstMode)==int(Lower) && ip<jp) || (int(DstMode)==int(Upper) && ip>jp)))
+        dest.valuePtr()[k] = numext::conj(it.value());
+      else
+        dest.valuePtr()[k] = it.value();
+    }
+  }
+}
+
+}
+
+// TODO implement twists in a more evaluator friendly fashion
+
+namespace internal {
+
+template<typename MatrixType, int Mode>
+struct traits<SparseSymmetricPermutationProduct<MatrixType,Mode> > : traits<MatrixType> {
+};
+
+}
+
+template<typename MatrixType,int Mode>
+class SparseSymmetricPermutationProduct
+  : public EigenBase<SparseSymmetricPermutationProduct<MatrixType,Mode> >
+{
+  public:
+    typedef typename MatrixType::Scalar Scalar;
+    typedef typename MatrixType::StorageIndex StorageIndex;
+    enum {
+      RowsAtCompileTime = internal::traits<SparseSymmetricPermutationProduct>::RowsAtCompileTime,
+      ColsAtCompileTime = internal::traits<SparseSymmetricPermutationProduct>::ColsAtCompileTime
+    };
+  protected:
+    typedef PermutationMatrix<Dynamic,Dynamic,StorageIndex> Perm;
+  public:
+    typedef Matrix<StorageIndex,Dynamic,1> VectorI;
+    typedef typename MatrixType::Nested MatrixTypeNested;
+    typedef typename internal::remove_all<MatrixTypeNested>::type NestedExpression;
+    
+    SparseSymmetricPermutationProduct(const MatrixType& mat, const Perm& perm)
+      : m_matrix(mat), m_perm(perm)
+    {}
+    
+    inline Index rows() const { return m_matrix.rows(); }
+    inline Index cols() const { return m_matrix.cols(); }
+        
+    const NestedExpression& matrix() const { return m_matrix; }
+    const Perm& perm() const { return m_perm; }
+    
+  protected:
+    MatrixTypeNested m_matrix;
+    const Perm& m_perm;
+
+};
+
+namespace internal {
+  
+template<typename DstXprType, typename MatrixType, int Mode, typename Scalar>
+struct Assignment<DstXprType, SparseSymmetricPermutationProduct<MatrixType,Mode>, internal::assign_op<Scalar,typename MatrixType::Scalar>, Sparse2Sparse>
+{
+  typedef SparseSymmetricPermutationProduct<MatrixType,Mode> SrcXprType;
+  typedef typename DstXprType::StorageIndex DstIndex;
+  template<int Options>
+  static void run(SparseMatrix<Scalar,Options,DstIndex> &dst, const SrcXprType &src, const internal::assign_op<Scalar,typename MatrixType::Scalar> &)
+  {
+    // internal::permute_symm_to_fullsymm<Mode>(m_matrix,_dest,m_perm.indices().data());
+    SparseMatrix<Scalar,(Options&RowMajor)==RowMajor ? ColMajor : RowMajor, DstIndex> tmp;
+    internal::permute_symm_to_fullsymm<Mode>(src.matrix(),tmp,src.perm().indices().data());
+    dst = tmp;
+  }
+  
+  template<typename DestType,unsigned int DestMode>
+  static void run(SparseSelfAdjointView<DestType,DestMode>& dst, const SrcXprType &src, const internal::assign_op<Scalar,typename MatrixType::Scalar> &)
+  {
+    internal::permute_symm_to_symm<Mode,DestMode>(src.matrix(),dst.matrix(),src.perm().indices().data());
+  }
+};
+
+} // end namespace internal
+
+} // end namespace Eigen
+
+#endif // EIGEN_SPARSE_SELFADJOINTVIEW_H
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h	(revision 3761)
@@ -0,0 +1,405 @@
+// This file is part of Eigen, a lightweight C++ template library
+// for linear algebra.
+//
+// Copyright (C) 2008-2014 Gael Guennebaud <gael.guennebaud@inria.fr>
+//
+// This Source Code Form is subject to the terms of the Mozilla
+// Public License v. 2.0. If a copy of the MPL was not distributed
+// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
+
+#ifndef EIGEN_SPARSEMATRIXBASE_H
+#define EIGEN_SPARSEMATRIXBASE_H
+
+namespace Eigen { 
+
+/** \ingroup SparseCore_Module
+  *
+  * \class SparseMatrixBase
+  *
+  * \brief Base class of any sparse matrices or sparse expressions
+  *
+  * \tparam Derived is the derived type, e.g. a sparse matrix type, or an expression, etc.
+  *
+  * This class can be extended with the help of the plugin mechanism described on the page
+  * \ref TopicCustomizing_Plugins by defining the preprocessor symbol \c EIGEN_SPARSEMATRIXBASE_PLUGIN.
+  */
+template<typename Derived> class SparseMatrixBase
+  : public EigenBase<Derived>
+{
+  public:
+
+    typedef typename internal::traits<Derived>::Scalar Scalar;
+    
+    /** The numeric type of the expression' coefficients, e.g. float, double, int or std::complex<float>, etc.
+      *
+      * It is an alias for the Scalar type */
+    typedef Scalar value_type;
+    
+    typedef typename internal::packet_traits<Scalar>::type PacketScalar;
+    typedef typename internal::traits<Derived>::StorageKind StorageKind;
+
+    /** The integer type used to \b store indices within a SparseMatrix.
+      * For a \c SparseMatrix<Scalar,Options,IndexType> it an alias of the third template parameter \c IndexType. */
+    typedef typename internal::traits<Derived>::StorageIndex StorageIndex;
+
+    typedef typename internal::add_const_on_value_type_if_arithmetic<
+                         typename internal::packet_traits<Scalar>::type
+                     >::type PacketReturnType;
+
+    typedef SparseMatrixBase StorageBaseType;
+
+    typedef Matrix<StorageIndex,Dynamic,1> IndexVector;
+    typedef Matrix<Scalar,Dynamic,1> ScalarVector;
+    
+    template<typename OtherDerived>
+    Derived& operator=(const EigenBase<OtherDerived> &other);
+
+    enum {
+
+      RowsAtCompileTime = internal::traits<Derived>::RowsAtCompileTime,
+        /**< The number of rows at compile-time. This is just a copy of the value provided
+          * by the \a Derived type. If a value is not known at compile-time,
+          * it is set to the \a Dynamic constant.
+          * \sa MatrixBase::rows(), MatrixBase::cols(), ColsAtCompileTime, SizeAtCompileTime */
+
+      ColsAtCompileTime = internal::traits<Derived>::ColsAtCompileTime,
+        /**< The number of columns at compile-time. This is just a copy of the value provided
+          * by the \a Derived type. If a value is not known at compile-time,
+          * it is set to the \a Dynamic constant.
+          * \sa MatrixBase::rows(), MatrixBase::cols(), RowsAtCompileTime, SizeAtCompileTime */
+
+
+      SizeAtCompileTime = (internal::size_at_compile_time<internal::traits<Derived>::RowsAtCompileTime,
+                                                   internal::traits<Derived>::ColsAtCompileTime>::ret),
+        /**< This is equal to the number of coefficients, i.e. the number of
+          * rows times the number of columns, or to \a Dynamic if this is not
+          * known at compile-time. \sa RowsAtCompileTime, ColsAtCompileTime */
+
+      MaxRowsAtCompileTime = RowsAtCompileTime,
+      MaxColsAtCompileTime = ColsAtCompileTime,
+
+      MaxSizeAtCompileTime = (internal::size_at_compile_time<MaxRowsAtCompileTime,
+                                                      MaxColsAtCompileTime>::ret),
+
+      IsVectorAtCompileTime = RowsAtCompileTime == 1 || ColsAtCompileTime == 1,
+        /**< This is set to true if either the number of rows or the number of
+          * columns is known at compile-time to be equal to 1. Indeed, in that case,
+          * we are dealing with a column-vector (if there is only one column) or with
+          * a row-vector (if there is only one row). */
+
+      Flags = internal::traits<Derived>::Flags,
+        /**< This stores expression \ref flags flags which may or may not be inherited by new expressions
+          * constructed from this one. See the \ref flags "list of flags".
+          */
+
+      IsRowMajor = Flags&RowMajorBit ? 1 : 0,
+      
+      InnerSizeAtCompileTime = int(IsVectorAtCompileTime) ? int(SizeAtCompileTime)
+                             : int(IsRowMajor) ? int(ColsAtCompileTime) : int(RowsAtCompileTime),
+
+      #ifndef EIGEN_PARSED_BY_DOXYGEN
+      _HasDirectAccess = (int(Flags)&DirectAccessBit) ? 1 : 0 // workaround sunCC
+      #endif
+    };
+
+    /** \internal the return type of MatrixBase::adjoint() */
+    typedef typename internal::conditional<NumTraits<Scalar>::IsComplex,
+                        CwiseUnaryOp<internal::scalar_conjugate_op<Scalar>, Eigen::Transpose<const Derived> >,
+                        Transpose<const Derived>
+                     >::type AdjointReturnType;
+    typedef Transpose<Derived> TransposeReturnType;
+    typedef typename internal::add_const<Transpose<const Derived> >::type ConstTransposeReturnType;
+
+    // FIXME storage order do not match evaluator storage order
+    typedef SparseMatrix<Scalar, Flags&RowMajorBit ? RowMajor : ColMajor, StorageIndex> PlainObject;
+
+#ifndef EIGEN_PARSED_BY_DOXYGEN
+    /** This is the "real scalar" type; if the \a Scalar type is already real numbers
+      * (e.g. int, float or double) then \a RealScalar is just the same as \a Scalar. If
+      * \a Scalar is \a std::complex<T> then RealScalar is \a T.
+      *
+      * \sa class NumTraits
+      */
+    typedef typename NumTraits<Scalar>::Real RealScalar;
+
+    /** \internal the return type of coeff()
+      */
+    typedef typename internal::conditional<_HasDirectAccess, const Scalar&, Scalar>::type CoeffReturnType;
+
+    /** \internal Represents a matrix with all coefficients equal to one another*/
+    typedef CwiseNullaryOp<internal::scalar_constant_op<Scalar>,Matrix<Scalar,Dynamic,Dynamic> > ConstantReturnType;
+
+    /** type of the equivalent dense matrix */
+    typedef Matrix<Scalar,RowsAtCompileTime,ColsAtCompileTime> DenseMatrixType;
+    /** type of the equivalent square matrix */
+    typedef Matrix<Scalar,EIGEN_SIZE_MAX(RowsAtCompileTime,ColsAtCompileTime),
+                          EIGEN_SIZE_MAX(RowsAtCompileTime,ColsAtCompileTime)> SquareMatrixType;
+
+    inline const Derived& derived() const { return *static_cast<const Derived*>(this); }
+    inline Derived& derived() { return *static_cast<Derived*>(this); }
+    inline Derived& const_cast_derived() const
+    { return *static_cast<Derived*>(const_cast<SparseMatrixBase*>(this)); }
+
+    typedef EigenBase<Derived> Base;
+
+#endif // not EIGEN_PARSED_BY_DOXYGEN
+
+#define EIGEN_CURRENT_STORAGE_BASE_CLASS Eigen::SparseMatrixBase
+#ifdef EIGEN_PARSED_BY_DOXYGEN
+#define EIGEN_DOC_UNARY_ADDONS(METHOD,OP)           /** <p>This method does not change the sparsity of \c *this: the OP is applied to explicitly stored coefficients only. \sa SparseCompressedBase::coeffs() </p> */
+#define EIGEN_DOC_BLOCK_ADDONS_NOT_INNER_PANEL      /** <p> \warning This method returns a read-only expression for any sparse matrices. \sa \ref TutorialSparse_SubMatrices "Sparse block operations" </p> */
+#define EIGEN_DOC_BLOCK_ADDONS_INNER_PANEL_IF(COND) /** <p> \warning This method returns a read-write expression for COND sparse matrices only. Otherwise, the returned expression is read-only. \sa \ref TutorialSparse_SubMatrices "Sparse block operations" </p> */
+#else
+#define EIGEN_DOC_UNARY_ADDONS(X,Y)
+#define EIGEN_DOC_BLOCK_ADDONS_NOT_INNER_PANEL
+#define EIGEN_DOC_BLOCK_ADDONS_INNER_PANEL_IF(COND)
+#endif
+#   include "../plugins/CommonCwiseUnaryOps.h"
+#   include "../plugins/CommonCwiseBinaryOps.h"
+#   include "../plugins/MatrixCwiseUnaryOps.h"
+#   include "../plugins/MatrixCwiseBinaryOps.h"
+#   include "../plugins/BlockMethods.h"
+#   ifdef EIGEN_SPARSEMATRIXBASE_PLUGIN
+#     include EIGEN_SPARSEMATRIXBASE_PLUGIN
+#   endif
+#undef EIGEN_CURRENT_STORAGE_BASE_CLASS
+#undef EIGEN_DOC_UNARY_ADDONS
+#undef EIGEN_DOC_BLOCK_ADDONS_NOT_INNER_PANEL
+#undef EIGEN_DOC_BLOCK_ADDONS_INNER_PANEL_IF
+
+    /** \returns the number of rows. \sa cols() */
+    inline Index rows() const { return derived().rows(); }
+    /** \returns the number of columns. \sa rows() */
+    inline Index cols() const { return derived().cols(); }
+    /** \returns the number of coefficients, which is \a rows()*cols().
+      * \sa rows(), cols(). */
+    inline Index size() const { return rows() * cols(); }
+    /** \returns true if either the number of rows or the number of columns is equal to 1.
+      * In other words, this function returns
+      * \code rows()==1 || cols()==1 \endcode
+      * \sa rows(), cols(), IsVectorAtCompileTime. */
+    inline bool isVector() const { return rows()==1 || cols()==1; }
+    /** \returns the size of the storage major dimension,
+      * i.e., the number of columns for a columns major matrix, and the number of rows otherwise */
+    Index outerSize() const { return (int(Flags)&RowMajorBit) ? this->rows() : this->cols(); }
+    /** \returns the size of the inner dimension according to the storage order,
+      * i.e., the number of rows for a columns major matrix, and the number of cols otherwise */
+    Index innerSize() const { return (int(Flags)&RowMajorBit) ? this->cols() : this->rows(); }
+
+    bool isRValue() const { return m_isRValue; }
+    Derived& markAsRValue() { m_isRValue = true; return derived(); }
+
+    SparseMatrixBase() : m_isRValue(false) { /* TODO check flags */ }
+
+    
+    template<typename OtherDerived>
+    Derived& operator=(const ReturnByValue<OtherDerived>& other);
+
+    template<typename OtherDerived>
+    inline Derived& operator=(const SparseMatrixBase<OtherDerived>& other);
+
+    inline Derived& operator=(const Derived& other);
+
+  protected:
+
+    template<typename OtherDerived>
+    inline Derived& assign(const OtherDerived& other);
+
+    template<typename OtherDerived>
+    inline void assignGeneric(const OtherDerived& other);
+
+  public:
+
+    friend std::ostream & operator << (std::ostream & s, const SparseMatrixBase& m)
+    {
+      typedef typename Derived::Nested Nested;
+      typedef typename internal::remove_all<Nested>::type NestedCleaned;
+
+      if (Flags&RowMajorBit)
+      {
+        Nested nm(m.derived());
+        internal::evaluator<NestedCleaned> thisEval(nm);
+        for (Index row=0; row<nm.outerSize(); ++row)
+        {
+          Index col = 0;
+          for (typename internal::evaluator<NestedCleaned>::InnerIterator it(thisEval, row); it; ++it)
+          {
+            for ( ; col<it.index(); ++col)
+              s << "0 ";
+            s << it.value() << " ";
+            ++col;
+          }
+          for ( ; col<m.cols(); ++col)
+            s << "0 ";
+          s << std::endl;
+        }
+      }
+      else
+      {
+        Nested nm(m.derived());
+        internal::evaluator<NestedCleaned> thisEval(nm);
+        if (m.cols() == 1) {
+          Index row = 0;
+          for (typename internal::evaluator<NestedCleaned>::InnerIterator it(thisEval, 0); it; ++it)
+          {
+            for ( ; row<it.index(); ++row)
+              s << "0" << std::endl;
+            s << it.value() << std::endl;
+            ++row;
+          }
+          for ( ; row<m.rows(); ++row)
+            s << "0" << std::endl;
+        }
+        else
+        {
+          SparseMatrix<Scalar, RowMajorBit, StorageIndex> trans = m;
+          s << static_cast<const SparseMatrixBase<SparseMatrix<Scalar, RowMajorBit, StorageIndex> >&>(trans);
+        }
+      }
+      return s;
+    }
+
+    template<typename OtherDerived>
+    Derived& operator+=(const SparseMatrixBase<OtherDerived>& other);
+    template<typename OtherDerived>
+    Derived& operator-=(const SparseMatrixBase<OtherDerived>& other);
+    
+    template<typename OtherDerived>
+    Derived& operator+=(const DiagonalBase<OtherDerived>& other);
+    template<typename OtherDerived>
+    Derived& operator-=(const DiagonalBase<OtherDerived>& other);
+
+    template<typename OtherDerived>
+    Derived& operator+=(const EigenBase<OtherDerived> &other);
+    template<typename OtherDerived>
+    Derived& operator-=(const EigenBase<OtherDerived> &other);
+
+    Derived& operator*=(const Scalar& other);
+    Derived& operator/=(const Scalar& other);
+
+    template<typename OtherDerived> struct CwiseProductDenseReturnType {
+      typedef CwiseBinaryOp<internal::scalar_product_op<typename ScalarBinaryOpTraits<
+                                                          typename internal::traits<Derived>::Scalar,
+                                                          typename internal::traits<OtherDerived>::Scalar
+                                                        >::ReturnType>,
+                            const Derived,
+                            const OtherDerived
+                          > Type;
+    };
+
+    template<typename OtherDerived>
+    EIGEN_STRONG_INLINE const typename CwiseProductDenseReturnType<OtherDerived>::Type
+    cwiseProduct(const MatrixBase<OtherDerived> &other) const;
+
+    // sparse * diagonal
+    template<typename OtherDerived>
+    const Product<Derived,OtherDerived>
+    operator*(const DiagonalBase<OtherDerived> &other) const
+    { return Product<Derived,OtherDerived>(derived(), other.derived()); }
+
+    // diagonal * sparse
+    template<typename OtherDerived> friend
+    const Product<OtherDerived,Derived>
+    operator*(const DiagonalBase<OtherDerived> &lhs, const SparseMatrixBase& rhs)
+    { return Product<OtherDerived,Derived>(lhs.derived(), rhs.derived()); }
+    
+    // sparse * sparse
+    template<typename OtherDerived>
+    const Product<Derived,OtherDerived,AliasFreeProduct>
+    operator*(const SparseMatrixBase<OtherDerived> &other) const;
+    
+    // sparse * dense
+    template<typename OtherDerived>
+    const Product<Derived,OtherDerived>
+    operator*(const MatrixBase<OtherDerived> &other) const
+    { return Product<Derived,OtherDerived>(derived(), other.derived()); }
+    
+    // dense * sparse
+    template<typename OtherDerived> friend
+    const Product<OtherDerived,Derived>
+    operator*(const MatrixBase<OtherDerived> &lhs, const SparseMatrixBase& rhs)
+    { return Product<OtherDerived,Derived>(lhs.derived(), rhs.derived()); }
+    
+     /** \returns an expression of P H P^-1 where H is the matrix represented by \c *this */
+    SparseSymmetricPermutationProduct<Derived,Upper|Lower> twistedBy(const PermutationMatrix<Dynamic,Dynamic,StorageIndex>& perm) const
+    {
+      return SparseSymmetricPermutationProduct<Derived,Upper|Lower>(derived(), perm);
+    }
+
+    template<typename OtherDerived>
+    Derived& operator*=(const SparseMatrixBase<OtherDerived>& other);
+
+    template<int Mode>
+    inline const TriangularView<const Derived, Mode> triangularView() const;
+    
+    template<unsigned int UpLo> struct SelfAdjointViewReturnType { typedef SparseSelfAdjointView<Derived, UpLo> Type; };
+    template<unsigned int UpLo> struct ConstSelfAdjointViewReturnType { typedef const SparseSelfAdjointView<const Derived, UpLo> Type; };
+
+    template<unsigned int UpLo> inline 
+    typename ConstSelfAdjointViewReturnType<UpLo>::Type selfadjointView() const;
+    template<unsigned int UpLo> inline
+    typename SelfAdjointViewReturnType<UpLo>::Type selfadjointView();
+
+    template<typename OtherDerived> Scalar dot(const MatrixBase<OtherDerived>& other) const;
+    template<typename OtherDerived> Scalar dot(const SparseMatrixBase<OtherDerived>& other) const;
+    RealScalar squaredNorm() const;
+    RealScalar norm()  const;
+    RealScalar blueNorm() const;
+
+    TransposeReturnType transpose() { return TransposeReturnType(derived()); }
+    const ConstTransposeReturnType transpose() const { return ConstTransposeReturnType(derived()); }
+    const AdjointReturnType adjoint() const { return AdjointReturnType(transpose()); }
+
+    // inner-vector
+    typedef Block<Derived,IsRowMajor?1:Dynamic,IsRowMajor?Dynamic:1,true>       InnerVectorReturnType;
+    typedef Block<const Derived,IsRowMajor?1:Dynamic,IsRowMajor?Dynamic:1,true> ConstInnerVectorReturnType;
+    InnerVectorReturnType innerVector(Index outer);
+    const ConstInnerVectorReturnType innerVector(Index outer) const;
+
+    // set of inner-vectors
+    typedef Block<Derived,Dynamic,Dynamic,true> InnerVectorsReturnType;
+    typedef Block<const Derived,Dynamic,Dynamic,true> ConstInnerVectorsReturnType;
+    InnerVectorsReturnType innerVectors(Index outerStart, Index outerSize);
+    const ConstInnerVectorsReturnType innerVectors(Index outerStart, Index outerSize) const;
+
+    DenseMatrixType toDense() const
+    {
+      return DenseMatrixType(derived());
+    }
+
+    template<typename OtherDerived>
+    bool isApprox(const SparseMatrixBase<OtherDerived>& other,
+                  const RealScalar& prec = NumTraits<Scalar>::dummy_precision()) const;
+
+    template<typename OtherDerived>
+    bool isApprox(const MatrixBase<OtherDerived>& other,
+                  const RealScalar& prec = NumTraits<Scalar>::dummy_precision()) const
+    { return toDense().isApprox(other,prec); }
+
+    /** \returns the matrix or vector obtained by evaluating this expression.
+      *
+      * Notice that in the case of a plain matrix or vector (not an expression) this function just returns
+      * a const reference, in order to avoid a useless copy.
+      */
+    inline const typename internal::eval<Derived>::type eval() const
+    { return typename internal::eval<Derived>::type(derived()); }
+
+    Scalar sum() const;
+    
+    inline const SparseView<Derived>
+    pruned(const Scalar& reference = Scalar(0), const RealScalar& epsilon = NumTraits<Scalar>::dummy_precision()) const;
+
+  protected:
+
+    bool m_isRValue;
+
+    static inline StorageIndex convert_index(const Index idx) {
+      return internal::convert_index<StorageIndex>(idx);
+    }
+  private:
+    template<typename Dest> void evalTo(Dest &) const;
+};
+
+} // end namespace Eigen
+
+#endif // EIGEN_SPARSEMATRIXBASE_H
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h	(revision 3761)
@@ -0,0 +1,341 @@
+// This file is part of Eigen, a lightweight C++ template library
+// for linear algebra.
+//
+// Copyright (C) 2015 Gael Guennebaud <gael.guennebaud@inria.fr>
+//
+// This Source Code Form is subject to the terms of the Mozilla
+// Public License v. 2.0. If a copy of the MPL was not distributed
+// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
+
+#ifndef EIGEN_SPARSE_COMPRESSED_BASE_H
+#define EIGEN_SPARSE_COMPRESSED_BASE_H
+
+namespace Eigen { 
+
+template<typename Derived> class SparseCompressedBase;
+  
+namespace internal {
+
+template<typename Derived>
+struct traits<SparseCompressedBase<Derived> > : traits<Derived>
+{};
+
+} // end namespace internal
+
+/** \ingroup SparseCore_Module
+  * \class SparseCompressedBase
+  * \brief Common base class for sparse [compressed]-{row|column}-storage format.
+  *
+  * This class defines the common interface for all derived classes implementing the compressed sparse storage format, such as:
+  *  - SparseMatrix
+  *  - Ref<SparseMatrixType,Options>
+  *  - Map<SparseMatrixType>
+  *
+  */
+template<typename Derived>
+class SparseCompressedBase
+  : public SparseMatrixBase<Derived>
+{
+  public:
+    typedef SparseMatrixBase<Derived> Base;
+    EIGEN_SPARSE_PUBLIC_INTERFACE(SparseCompressedBase)
+    using Base::operator=;
+    using Base::IsRowMajor;
+    
+    class InnerIterator;
+    class ReverseInnerIterator;
+    
+  protected:
+    typedef typename Base::IndexVector IndexVector;
+    Eigen::Map<IndexVector> innerNonZeros() { return Eigen::Map<IndexVector>(innerNonZeroPtr(), isCompressed()?0:derived().outerSize()); }
+    const  Eigen::Map<const IndexVector> innerNonZeros() const { return Eigen::Map<const IndexVector>(innerNonZeroPtr(), isCompressed()?0:derived().outerSize()); }
+        
+  public:
+    
+    /** \returns the number of non zero coefficients */
+    inline Index nonZeros() const
+    {
+      if(Derived::IsVectorAtCompileTime && outerIndexPtr()==0)
+        return derived().nonZeros();
+      else if(isCompressed())
+        return outerIndexPtr()[derived().outerSize()]-outerIndexPtr()[0];
+      else if(derived().outerSize()==0)
+        return 0;
+      else
+        return innerNonZeros().sum();
+    }
+    
+    /** \returns a const pointer to the array of values.
+      * This function is aimed at interoperability with other libraries.
+      * \sa innerIndexPtr(), outerIndexPtr() */
+    inline const Scalar* valuePtr() const { return derived().valuePtr(); }
+    /** \returns a non-const pointer to the array of values.
+      * This function is aimed at interoperability with other libraries.
+      * \sa innerIndexPtr(), outerIndexPtr() */
+    inline Scalar* valuePtr() { return derived().valuePtr(); }
+
+    /** \returns a const pointer to the array of inner indices.
+      * This function is aimed at interoperability with other libraries.
+      * \sa valuePtr(), outerIndexPtr() */
+    inline const StorageIndex* innerIndexPtr() const { return derived().innerIndexPtr(); }
+    /** \returns a non-const pointer to the array of inner indices.
+      * This function is aimed at interoperability with other libraries.
+      * \sa valuePtr(), outerIndexPtr() */
+    inline StorageIndex* innerIndexPtr() { return derived().innerIndexPtr(); }
+
+    /** \returns a const pointer to the array of the starting positions of the inner vectors.
+      * This function is aimed at interoperability with other libraries.
+      * \warning it returns the null pointer 0 for SparseVector
+      * \sa valuePtr(), innerIndexPtr() */
+    inline const StorageIndex* outerIndexPtr() const { return derived().outerIndexPtr(); }
+    /** \returns a non-const pointer to the array of the starting positions of the inner vectors.
+      * This function is aimed at interoperability with other libraries.
+      * \warning it returns the null pointer 0 for SparseVector
+      * \sa valuePtr(), innerIndexPtr() */
+    inline StorageIndex* outerIndexPtr() { return derived().outerIndexPtr(); }
+
+    /** \returns a const pointer to the array of the number of non zeros of the inner vectors.
+      * This function is aimed at interoperability with other libraries.
+      * \warning it returns the null pointer 0 in compressed mode */
+    inline const StorageIndex* innerNonZeroPtr() const { return derived().innerNonZeroPtr(); }
+    /** \returns a non-const pointer to the array of the number of non zeros of the inner vectors.
+      * This function is aimed at interoperability with other libraries.
+      * \warning it returns the null pointer 0 in compressed mode */
+    inline StorageIndex* innerNonZeroPtr() { return derived().innerNonZeroPtr(); }
+    
+    /** \returns whether \c *this is in compressed form. */
+    inline bool isCompressed() const { return innerNonZeroPtr()==0; }
+
+    /** \returns a read-only view of the stored coefficients as a 1D array expression.
+      *
+      * \warning this method is for \b compressed \b storage \b only, and it will trigger an assertion otherwise.
+      *
+      * \sa valuePtr(), isCompressed() */
+    const Map<const Array<Scalar,Dynamic,1> > coeffs() const { eigen_assert(isCompressed()); return Array<Scalar,Dynamic,1>::Map(valuePtr(),nonZeros()); }
+
+    /** \returns a read-write view of the stored coefficients as a 1D array expression
+      *
+      * \warning this method is for \b compressed \b storage \b only, and it will trigger an assertion otherwise.
+      *
+      * Here is an example:
+      * \include SparseMatrix_coeffs.cpp
+      * and the output is:
+      * \include SparseMatrix_coeffs.out
+      *
+      * \sa valuePtr(), isCompressed() */
+    Map<Array<Scalar,Dynamic,1> > coeffs() { eigen_assert(isCompressed()); return Array<Scalar,Dynamic,1>::Map(valuePtr(),nonZeros()); }
+
+  protected:
+    /** Default constructor. Do nothing. */
+    SparseCompressedBase() {}
+  private:
+    template<typename OtherDerived> explicit SparseCompressedBase(const SparseCompressedBase<OtherDerived>&);
+};
+
+template<typename Derived>
+class SparseCompressedBase<Derived>::InnerIterator
+{
+  public:
+    InnerIterator()
+      : m_values(0), m_indices(0), m_outer(0), m_id(0), m_end(0)
+    {}
+
+    InnerIterator(const InnerIterator& other)
+      : m_values(other.m_values), m_indices(other.m_indices), m_outer(other.m_outer), m_id(other.m_id), m_end(other.m_end)
+    {}
+
+    InnerIterator& operator=(const InnerIterator& other)
+    {
+      m_values = other.m_values;
+      m_indices = other.m_indices;
+      const_cast<OuterType&>(m_outer).setValue(other.m_outer.value());
+      m_id = other.m_id;
+      m_end = other.m_end;
+      return *this;
+    }
+
+    InnerIterator(const SparseCompressedBase& mat, Index outer)
+      : m_values(mat.valuePtr()), m_indices(mat.innerIndexPtr()), m_outer(outer)
+    {
+      if(Derived::IsVectorAtCompileTime && mat.outerIndexPtr()==0)
+      {
+        m_id = 0;
+        m_end = mat.nonZeros();
+      }
+      else
+      {
+        m_id = mat.outerIndexPtr()[outer];
+        if(mat.isCompressed())
+          m_end = mat.outerIndexPtr()[outer+1];
+        else
+          m_end = m_id + mat.innerNonZeroPtr()[outer];
+      }
+    }
+
+    explicit InnerIterator(const SparseCompressedBase& mat)
+      : m_values(mat.valuePtr()), m_indices(mat.innerIndexPtr()), m_outer(0), m_id(0), m_end(mat.nonZeros())
+    {
+      EIGEN_STATIC_ASSERT_VECTOR_ONLY(Derived);
+    }
+
+    explicit InnerIterator(const internal::CompressedStorage<Scalar,StorageIndex>& data)
+      : m_values(data.valuePtr()), m_indices(data.indexPtr()), m_outer(0), m_id(0), m_end(data.size())
+    {
+      EIGEN_STATIC_ASSERT_VECTOR_ONLY(Derived);
+    }
+
+    inline InnerIterator& operator++() { m_id++; return *this; }
+
+    inline const Scalar& value() const { return m_values[m_id]; }
+    inline Scalar& valueRef() { return const_cast<Scalar&>(m_values[m_id]); }
+
+    inline StorageIndex index() const { return m_indices[m_id]; }
+    inline Index outer() const { return m_outer.value(); }
+    inline Index row() const { return IsRowMajor ? m_outer.value() : index(); }
+    inline Index col() const { return IsRowMajor ? index() : m_outer.value(); }
+
+    inline operator bool() const { return (m_id < m_end); }
+
+  protected:
+    const Scalar* m_values;
+    const StorageIndex* m_indices;
+    typedef internal::variable_if_dynamic<Index,Derived::IsVectorAtCompileTime?0:Dynamic> OuterType;
+    const OuterType m_outer;
+    Index m_id;
+    Index m_end;
+  private:
+    // If you get here, then you're not using the right InnerIterator type, e.g.:
+    //   SparseMatrix<double,RowMajor> A;
+    //   SparseMatrix<double>::InnerIterator it(A,0);
+    template<typename T> InnerIterator(const SparseMatrixBase<T>&, Index outer);
+};
+
+template<typename Derived>
+class SparseCompressedBase<Derived>::ReverseInnerIterator
+{
+  public:
+    ReverseInnerIterator(const SparseCompressedBase& mat, Index outer)
+      : m_values(mat.valuePtr()), m_indices(mat.innerIndexPtr()), m_outer(outer)
+    {
+      if(Derived::IsVectorAtCompileTime && mat.outerIndexPtr()==0)
+      {
+        m_start = 0;
+        m_id = mat.nonZeros();
+      }
+      else
+      {
+        m_start = mat.outerIndexPtr()[outer];
+        if(mat.isCompressed())
+          m_id = mat.outerIndexPtr()[outer+1];
+        else
+          m_id = m_start + mat.innerNonZeroPtr()[outer];
+      }
+    }
+
+    explicit ReverseInnerIterator(const SparseCompressedBase& mat)
+      : m_values(mat.valuePtr()), m_indices(mat.innerIndexPtr()), m_outer(0), m_start(0), m_id(mat.nonZeros())
+    {
+      EIGEN_STATIC_ASSERT_VECTOR_ONLY(Derived);
+    }
+
+    explicit ReverseInnerIterator(const internal::CompressedStorage<Scalar,StorageIndex>& data)
+      : m_values(data.valuePtr()), m_indices(data.indexPtr()), m_outer(0), m_start(0), m_id(data.size())
+    {
+      EIGEN_STATIC_ASSERT_VECTOR_ONLY(Derived);
+    }
+
+    inline ReverseInnerIterator& operator--() { --m_id; return *this; }
+
+    inline const Scalar& value() const { return m_values[m_id-1]; }
+    inline Scalar& valueRef() { return const_cast<Scalar&>(m_values[m_id-1]); }
+
+    inline StorageIndex index() const { return m_indices[m_id-1]; }
+    inline Index outer() const { return m_outer.value(); }
+    inline Index row() const { return IsRowMajor ? m_outer.value() : index(); }
+    inline Index col() const { return IsRowMajor ? index() : m_outer.value(); }
+
+    inline operator bool() const { return (m_id > m_start); }
+
+  protected:
+    const Scalar* m_values;
+    const StorageIndex* m_indices;
+    typedef internal::variable_if_dynamic<Index,Derived::IsVectorAtCompileTime?0:Dynamic> OuterType;
+    const OuterType m_outer;
+    Index m_start;
+    Index m_id;
+};
+
+namespace internal {
+
+template<typename Derived>
+struct evaluator<SparseCompressedBase<Derived> >
+  : evaluator_base<Derived>
+{
+  typedef typename Derived::Scalar Scalar;
+  typedef typename Derived::InnerIterator InnerIterator;
+  
+  enum {
+    CoeffReadCost = NumTraits<Scalar>::ReadCost,
+    Flags = Derived::Flags
+  };
+  
+  evaluator() : m_matrix(0), m_zero(0)
+  {
+    EIGEN_INTERNAL_CHECK_COST_VALUE(CoeffReadCost);
+  }
+  explicit evaluator(const Derived &mat) : m_matrix(&mat), m_zero(0)
+  {
+    EIGEN_INTERNAL_CHECK_COST_VALUE(CoeffReadCost);
+  }
+  
+  inline Index nonZerosEstimate() const {
+    return m_matrix->nonZeros();
+  }
+  
+  operator Derived&() { return m_matrix->const_cast_derived(); }
+  operator const Derived&() const { return *m_matrix; }
+  
+  typedef typename DenseCoeffsBase<Derived,ReadOnlyAccessors>::CoeffReturnType CoeffReturnType;
+  const Scalar& coeff(Index row, Index col) const
+  {
+    Index p = find(row,col);
+
+    if(p==Dynamic)
+      return m_zero;
+    else
+      return m_matrix->const_cast_derived().valuePtr()[p];
+  }
+
+  Scalar& coeffRef(Index row, Index col)
+  {
+    Index p = find(row,col);
+    eigen_assert(p!=Dynamic && "written coefficient does not exist");
+    return m_matrix->const_cast_derived().valuePtr()[p];
+  }
+
+protected:
+
+  Index find(Index row, Index col) const
+  {
+    eigen_internal_assert(row>=0 && row<m_matrix->rows() && col>=0 && col<m_matrix->cols());
+
+    const Index outer = Derived::IsRowMajor ? row : col;
+    const Index inner = Derived::IsRowMajor ? col : row;
+
+    Index start = m_matrix->outerIndexPtr()[outer];
+    Index end = m_matrix->isCompressed() ? m_matrix->outerIndexPtr()[outer+1] : m_matrix->outerIndexPtr()[outer] + m_matrix->innerNonZeroPtr()[outer];
+    eigen_assert(end>=start && "you are using a non finalized sparse matrix or written coefficient does not exist");
+    const Index p = std::lower_bound(m_matrix->innerIndexPtr()+start, m_matrix->innerIndexPtr()+end,inner) - m_matrix->innerIndexPtr();
+
+    return ((p<end) && (m_matrix->innerIndexPtr()[p]==inner)) ? p : Dynamic;
+  }
+
+  const Derived *m_matrix;
+  const Scalar m_zero;
+};
+
+}
+
+} // end namespace Eigen
+
+#endif // EIGEN_SPARSE_COMPRESSED_BASE_H
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/SparseCore/SparseDenseProduct.h
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/SparseCore/SparseDenseProduct.h	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/SparseCore/SparseDenseProduct.h	(revision 3761)
@@ -0,0 +1,320 @@
+// This file is part of Eigen, a lightweight C++ template library
+// for linear algebra.
+//
+// Copyright (C) 2008-2015 Gael Guennebaud <gael.guennebaud@inria.fr>
+//
+// This Source Code Form is subject to the terms of the Mozilla
+// Public License v. 2.0. If a copy of the MPL was not distributed
+// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
+
+#ifndef EIGEN_SPARSEDENSEPRODUCT_H
+#define EIGEN_SPARSEDENSEPRODUCT_H
+
+namespace Eigen { 
+
+namespace internal {
+
+template <> struct product_promote_storage_type<Sparse,Dense, OuterProduct> { typedef Sparse ret; };
+template <> struct product_promote_storage_type<Dense,Sparse, OuterProduct> { typedef Sparse ret; };
+
+template<typename SparseLhsType, typename DenseRhsType, typename DenseResType,
+         typename AlphaType,
+         int LhsStorageOrder = ((SparseLhsType::Flags&RowMajorBit)==RowMajorBit) ? RowMajor : ColMajor,
+         bool ColPerCol = ((DenseRhsType::Flags&RowMajorBit)==0) || DenseRhsType::ColsAtCompileTime==1>
+struct sparse_time_dense_product_impl;
+
+template<typename SparseLhsType, typename DenseRhsType, typename DenseResType>
+struct sparse_time_dense_product_impl<SparseLhsType,DenseRhsType,DenseResType, typename DenseResType::Scalar, RowMajor, true>
+{
+  typedef typename internal::remove_all<SparseLhsType>::type Lhs;
+  typedef typename internal::remove_all<DenseRhsType>::type Rhs;
+  typedef typename internal::remove_all<DenseResType>::type Res;
+  typedef typename evaluator<Lhs>::InnerIterator LhsInnerIterator;
+  typedef evaluator<Lhs> LhsEval;
+  static void run(const SparseLhsType& lhs, const DenseRhsType& rhs, DenseResType& res, const typename Res::Scalar& alpha)
+  {
+    LhsEval lhsEval(lhs);
+    
+    Index n = lhs.outerSize();
+#ifdef EIGEN_HAS_OPENMP
+    Eigen::initParallel();
+    Index threads = Eigen::nbThreads();
+#endif
+    
+    for(Index c=0; c<rhs.cols(); ++c)
+    {
+#ifdef EIGEN_HAS_OPENMP
+      // This 20000 threshold has been found experimentally on 2D and 3D Poisson problems.
+      // It basically represents the minimal amount of work to be done to be worth it.
+      if(threads>1 && lhsEval.nonZerosEstimate() > 20000)
+      {
+        #pragma omp parallel for schedule(dynamic,(n+threads*4-1)/(threads*4)) num_threads(threads)
+        for(Index i=0; i<n; ++i)
+          processRow(lhsEval,rhs,res,alpha,i,c);
+      }
+      else
+#endif
+      {
+        for(Index i=0; i<n; ++i)
+          processRow(lhsEval,rhs,res,alpha,i,c);
+      }
+    }
+  }
+  
+  static void processRow(const LhsEval& lhsEval, const DenseRhsType& rhs, DenseResType& res, const typename Res::Scalar& alpha, Index i, Index col)
+  {
+    typename Res::Scalar tmp(0);
+    for(LhsInnerIterator it(lhsEval,i); it ;++it)
+      tmp += it.value() * rhs.coeff(it.index(),col);
+    res.coeffRef(i,col) += alpha * tmp;
+  }
+  
+};
+
+// FIXME: what is the purpose of the following specialization? Is it for the BlockedSparse format?
+// -> let's disable it for now as it is conflicting with generic scalar*matrix and matrix*scalar operators
+// template<typename T1, typename T2/*, int _Options, typename _StrideType*/>
+// struct ScalarBinaryOpTraits<T1, Ref<T2/*, _Options, _StrideType*/> >
+// {
+//   enum {
+//     Defined = 1
+//   };
+//   typedef typename CwiseUnaryOp<scalar_multiple2_op<T1, typename T2::Scalar>, T2>::PlainObject ReturnType;
+// };
+
+template<typename SparseLhsType, typename DenseRhsType, typename DenseResType, typename AlphaType>
+struct sparse_time_dense_product_impl<SparseLhsType,DenseRhsType,DenseResType, AlphaType, ColMajor, true>
+{
+  typedef typename internal::remove_all<SparseLhsType>::type Lhs;
+  typedef typename internal::remove_all<DenseRhsType>::type Rhs;
+  typedef typename internal::remove_all<DenseResType>::type Res;
+  typedef typename evaluator<Lhs>::InnerIterator LhsInnerIterator;
+  static void run(const SparseLhsType& lhs, const DenseRhsType& rhs, DenseResType& res, const AlphaType& alpha)
+  {
+    evaluator<Lhs> lhsEval(lhs);
+    for(Index c=0; c<rhs.cols(); ++c)
+    {
+      for(Index j=0; j<lhs.outerSize(); ++j)
+      {
+//        typename Res::Scalar rhs_j = alpha * rhs.coeff(j,c);
+        typename ScalarBinaryOpTraits<AlphaType, typename Rhs::Scalar>::ReturnType rhs_j(alpha * rhs.coeff(j,c));
+        for(LhsInnerIterator it(lhsEval,j); it ;++it)
+          res.coeffRef(it.index(),c) += it.value() * rhs_j;
+      }
+    }
+  }
+};
+
+template<typename SparseLhsType, typename DenseRhsType, typename DenseResType>
+struct sparse_time_dense_product_impl<SparseLhsType,DenseRhsType,DenseResType, typename DenseResType::Scalar, RowMajor, false>
+{
+  typedef typename internal::remove_all<SparseLhsType>::type Lhs;
+  typedef typename internal::remove_all<DenseRhsType>::type Rhs;
+  typedef typename internal::remove_all<DenseResType>::type Res;
+  typedef typename evaluator<Lhs>::InnerIterator LhsInnerIterator;
+  static void run(const SparseLhsType& lhs, const DenseRhsType& rhs, DenseResType& res, const typename Res::Scalar& alpha)
+  {
+    evaluator<Lhs> lhsEval(lhs);
+    for(Index j=0; j<lhs.outerSize(); ++j)
+    {
+      typename Res::RowXpr res_j(res.row(j));
+      for(LhsInnerIterator it(lhsEval,j); it ;++it)
+        res_j += (alpha*it.value()) * rhs.row(it.index());
+    }
+  }
+};
+
+template<typename SparseLhsType, typename DenseRhsType, typename DenseResType>
+struct sparse_time_dense_product_impl<SparseLhsType,DenseRhsType,DenseResType, typename DenseResType::Scalar, ColMajor, false>
+{
+  typedef typename internal::remove_all<SparseLhsType>::type Lhs;
+  typedef typename internal::remove_all<DenseRhsType>::type Rhs;
+  typedef typename internal::remove_all<DenseResType>::type Res;
+  typedef typename evaluator<Lhs>::InnerIterator LhsInnerIterator;
+  static void run(const SparseLhsType& lhs, const DenseRhsType& rhs, DenseResType& res, const typename Res::Scalar& alpha)
+  {
+    evaluator<Lhs> lhsEval(lhs);
+    for(Index j=0; j<lhs.outerSize(); ++j)
+    {
+      typename Rhs::ConstRowXpr rhs_j(rhs.row(j));
+      for(LhsInnerIterator it(lhsEval,j); it ;++it)
+        res.row(it.index()) += (alpha*it.value()) * rhs_j;
+    }
+  }
+};
+
+template<typename SparseLhsType, typename DenseRhsType, typename DenseResType,typename AlphaType>
+inline void sparse_time_dense_product(const SparseLhsType& lhs, const DenseRhsType& rhs, DenseResType& res, const AlphaType& alpha)
+{
+  sparse_time_dense_product_impl<SparseLhsType,DenseRhsType,DenseResType, AlphaType>::run(lhs, rhs, res, alpha);
+}
+
+} // end namespace internal
+
+namespace internal {
+
+template<typename Lhs, typename Rhs, int ProductType>
+struct generic_product_impl<Lhs, Rhs, SparseShape, DenseShape, ProductType>
+ : generic_product_impl_base<Lhs,Rhs,generic_product_impl<Lhs,Rhs,SparseShape,DenseShape,ProductType> >
+{
+  typedef typename Product<Lhs,Rhs>::Scalar Scalar;
+  
+  template<typename Dest>
+  static void scaleAndAddTo(Dest& dst, const Lhs& lhs, const Rhs& rhs, const Scalar& alpha)
+  {
+    typedef typename nested_eval<Lhs,((Rhs::Flags&RowMajorBit)==0) ? 1 : Rhs::ColsAtCompileTime>::type LhsNested;
+    typedef typename nested_eval<Rhs,((Lhs::Flags&RowMajorBit)==0) ? 1 : Dynamic>::type RhsNested;
+    LhsNested lhsNested(lhs);
+    RhsNested rhsNested(rhs);
+    internal::sparse_time_dense_product(lhsNested, rhsNested, dst, alpha);
+  }
+};
+
+template<typename Lhs, typename Rhs, int ProductType>
+struct generic_product_impl<Lhs, Rhs, SparseTriangularShape, DenseShape, ProductType>
+  : generic_product_impl<Lhs, Rhs, SparseShape, DenseShape, ProductType>
+{};
+
+template<typename Lhs, typename Rhs, int ProductType>
+struct generic_product_impl<Lhs, Rhs, DenseShape, SparseShape, ProductType>
+  : generic_product_impl_base<Lhs,Rhs,generic_product_impl<Lhs,Rhs,DenseShape,SparseShape,ProductType> >
+{
+  typedef typename Product<Lhs,Rhs>::Scalar Scalar;
+  
+  template<typename Dst>
+  static void scaleAndAddTo(Dst& dst, const Lhs& lhs, const Rhs& rhs, const Scalar& alpha)
+  {
+    typedef typename nested_eval<Lhs,((Rhs::Flags&RowMajorBit)==0) ? Dynamic : 1>::type LhsNested;
+    typedef typename nested_eval<Rhs,((Lhs::Flags&RowMajorBit)==RowMajorBit) ? 1 : Lhs::RowsAtCompileTime>::type RhsNested;
+    LhsNested lhsNested(lhs);
+    RhsNested rhsNested(rhs);
+    
+    // transpose everything
+    Transpose<Dst> dstT(dst);
+    internal::sparse_time_dense_product(rhsNested.transpose(), lhsNested.transpose(), dstT, alpha);
+  }
+};
+
+template<typename Lhs, typename Rhs, int ProductType>
+struct generic_product_impl<Lhs, Rhs, DenseShape, SparseTriangularShape, ProductType>
+  : generic_product_impl<Lhs, Rhs, DenseShape, SparseShape, ProductType>
+{};
+
+template<typename LhsT, typename RhsT, bool NeedToTranspose>
+struct sparse_dense_outer_product_evaluator
+{
+protected:
+  typedef typename conditional<NeedToTranspose,RhsT,LhsT>::type Lhs1;
+  typedef typename conditional<NeedToTranspose,LhsT,RhsT>::type ActualRhs;
+  typedef Product<LhsT,RhsT,DefaultProduct> ProdXprType;
+  
+  // if the actual left-hand side is a dense vector,
+  // then build a sparse-view so that we can seamlessly iterate over it.
+  typedef typename conditional<is_same<typename internal::traits<Lhs1>::StorageKind,Sparse>::value,
+            Lhs1, SparseView<Lhs1> >::type ActualLhs;
+  typedef typename conditional<is_same<typename internal::traits<Lhs1>::StorageKind,Sparse>::value,
+            Lhs1 const&, SparseView<Lhs1> >::type LhsArg;
+            
+  typedef evaluator<ActualLhs> LhsEval;
+  typedef evaluator<ActualRhs> RhsEval;
+  typedef typename evaluator<ActualLhs>::InnerIterator LhsIterator;
+  typedef typename ProdXprType::Scalar Scalar;
+  
+public:
+  enum {
+    Flags = NeedToTranspose ? RowMajorBit : 0,
+    CoeffReadCost = HugeCost
+  };
+  
+  class InnerIterator : public LhsIterator
+  {
+  public:
+    InnerIterator(const sparse_dense_outer_product_evaluator &xprEval, Index outer)
+      : LhsIterator(xprEval.m_lhsXprImpl, 0),
+        m_outer(outer),
+        m_empty(false),
+        m_factor(get(xprEval.m_rhsXprImpl, outer, typename internal::traits<ActualRhs>::StorageKind() ))
+    {}
+    
+    EIGEN_STRONG_INLINE Index outer() const { return m_outer; }
+    EIGEN_STRONG_INLINE Index row()   const { return NeedToTranspose ? m_outer : LhsIterator::index(); }
+    EIGEN_STRONG_INLINE Index col()   const { return NeedToTranspose ? LhsIterator::index() : m_outer; }
+
+    EIGEN_STRONG_INLINE Scalar value() const { return LhsIterator::value() * m_factor; }
+    EIGEN_STRONG_INLINE operator bool() const { return LhsIterator::operator bool() && (!m_empty); }
+    
+  protected:
+    Scalar get(const RhsEval &rhs, Index outer, Dense = Dense()) const
+    {
+      return rhs.coeff(outer);
+    }
+    
+    Scalar get(const RhsEval &rhs, Index outer, Sparse = Sparse())
+    {
+      typename RhsEval::InnerIterator it(rhs, outer);
+      if (it && it.index()==0 && it.value()!=Scalar(0))
+        return it.value();
+      m_empty = true;
+      return Scalar(0);
+    }
+    
+    Index m_outer;
+    bool m_empty;
+    Scalar m_factor;
+  };
+  
+  sparse_dense_outer_product_evaluator(const Lhs1 &lhs, const ActualRhs &rhs)
+     : m_lhs(lhs), m_lhsXprImpl(m_lhs), m_rhsXprImpl(rhs)
+  {
+    EIGEN_INTERNAL_CHECK_COST_VALUE(CoeffReadCost);
+  }
+  
+  // transpose case
+  sparse_dense_outer_product_evaluator(const ActualRhs &rhs, const Lhs1 &lhs)
+     : m_lhs(lhs), m_lhsXprImpl(m_lhs), m_rhsXprImpl(rhs)
+  {
+    EIGEN_INTERNAL_CHECK_COST_VALUE(CoeffReadCost);
+  }
+    
+protected:
+  const LhsArg m_lhs;
+  evaluator<ActualLhs> m_lhsXprImpl;
+  evaluator<ActualRhs> m_rhsXprImpl;
+};
+
+// sparse * dense outer product
+template<typename Lhs, typename Rhs>
+struct product_evaluator<Product<Lhs, Rhs, DefaultProduct>, OuterProduct, SparseShape, DenseShape>
+  : sparse_dense_outer_product_evaluator<Lhs,Rhs, Lhs::IsRowMajor>
+{
+  typedef sparse_dense_outer_product_evaluator<Lhs,Rhs, Lhs::IsRowMajor> Base;
+  
+  typedef Product<Lhs, Rhs> XprType;
+  typedef typename XprType::PlainObject PlainObject;
+
+  explicit product_evaluator(const XprType& xpr)
+    : Base(xpr.lhs(), xpr.rhs())
+  {}
+  
+};
+
+template<typename Lhs, typename Rhs>
+struct product_evaluator<Product<Lhs, Rhs, DefaultProduct>, OuterProduct, DenseShape, SparseShape>
+  : sparse_dense_outer_product_evaluator<Lhs,Rhs, Rhs::IsRowMajor>
+{
+  typedef sparse_dense_outer_product_evaluator<Lhs,Rhs, Rhs::IsRowMajor> Base;
+  
+  typedef Product<Lhs, Rhs> XprType;
+  typedef typename XprType::PlainObject PlainObject;
+
+  explicit product_evaluator(const XprType& xpr)
+    : Base(xpr.lhs(), xpr.rhs())
+  {}
+  
+};
+
+} // end namespace internal
+
+} // end namespace Eigen
+
+#endif // EIGEN_SPARSEDENSEPRODUCT_H
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h	(revision 3761)
@@ -0,0 +1,871 @@
+// This file is part of Eigen, a lightweight C++ template library
+// for linear algebra.
+//
+// Copyright (C) 2008-2010 Gael Guennebaud <gael.guennebaud@inria.fr>
+// Copyright (C) 2010 Jitse Niesen <jitse@maths.leeds.ac.uk>
+//
+// This Source Code Form is subject to the terms of the Mozilla
+// Public License v. 2.0. If a copy of the MPL was not distributed
+// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
+
+#ifndef EIGEN_SELFADJOINTEIGENSOLVER_H
+#define EIGEN_SELFADJOINTEIGENSOLVER_H
+
+#include "./Tridiagonalization.h"
+
+namespace Eigen { 
+
+template<typename _MatrixType>
+class GeneralizedSelfAdjointEigenSolver;
+
+namespace internal {
+template<typename SolverType,int Size,bool IsComplex> struct direct_selfadjoint_eigenvalues;
+template<typename MatrixType, typename DiagType, typename SubDiagType>
+ComputationInfo computeFromTridiagonal_impl(DiagType& diag, SubDiagType& subdiag, const Index maxIterations, bool computeEigenvectors, MatrixType& eivec);
+}
+
+/** \eigenvalues_module \ingroup Eigenvalues_Module
+  *
+  *
+  * \class SelfAdjointEigenSolver
+  *
+  * \brief Computes eigenvalues and eigenvectors of selfadjoint matrices
+  *
+  * \tparam _MatrixType the type of the matrix of which we are computing the
+  * eigendecomposition; this is expected to be an instantiation of the Matrix
+  * class template.
+  *
+  * A matrix \f$ A \f$ is selfadjoint if it equals its adjoint. For real
+  * matrices, this means that the matrix is symmetric: it equals its
+  * transpose. This class computes the eigenvalues and eigenvectors of a
+  * selfadjoint matrix. These are the scalars \f$ \lambda \f$ and vectors
+  * \f$ v \f$ such that \f$ Av = \lambda v \f$.  The eigenvalues of a
+  * selfadjoint matrix are always real. If \f$ D \f$ is a diagonal matrix with
+  * the eigenvalues on the diagonal, and \f$ V \f$ is a matrix with the
+  * eigenvectors as its columns, then \f$ A = V D V^{-1} \f$ (for selfadjoint
+  * matrices, the matrix \f$ V \f$ is always invertible). This is called the
+  * eigendecomposition.
+  *
+  * The algorithm exploits the fact that the matrix is selfadjoint, making it
+  * faster and more accurate than the general purpose eigenvalue algorithms
+  * implemented in EigenSolver and ComplexEigenSolver.
+  *
+  * Only the \b lower \b triangular \b part of the input matrix is referenced.
+  *
+  * Call the function compute() to compute the eigenvalues and eigenvectors of
+  * a given matrix. Alternatively, you can use the
+  * SelfAdjointEigenSolver(const MatrixType&, int) constructor which computes
+  * the eigenvalues and eigenvectors at construction time. Once the eigenvalue
+  * and eigenvectors are computed, they can be retrieved with the eigenvalues()
+  * and eigenvectors() functions.
+  *
+  * The documentation for SelfAdjointEigenSolver(const MatrixType&, int)
+  * contains an example of the typical use of this class.
+  *
+  * To solve the \em generalized eigenvalue problem \f$ Av = \lambda Bv \f$ and
+  * the likes, see the class GeneralizedSelfAdjointEigenSolver.
+  *
+  * \sa MatrixBase::eigenvalues(), class EigenSolver, class ComplexEigenSolver
+  */
+template<typename _MatrixType> class SelfAdjointEigenSolver
+{
+  public:
+
+    typedef _MatrixType MatrixType;
+    enum {
+      Size = MatrixType::RowsAtCompileTime,
+      ColsAtCompileTime = MatrixType::ColsAtCompileTime,
+      Options = MatrixType::Options,
+      MaxColsAtCompileTime = MatrixType::MaxColsAtCompileTime
+    };
+    
+    /** \brief Scalar type for matrices of type \p _MatrixType. */
+    typedef typename MatrixType::Scalar Scalar;
+    typedef Eigen::Index Index; ///< \deprecated since Eigen 3.3
+    
+    typedef Matrix<Scalar,Size,Size,ColMajor,MaxColsAtCompileTime,MaxColsAtCompileTime> EigenvectorsType;
+
+    /** \brief Real scalar type for \p _MatrixType.
+      *
+      * This is just \c Scalar if #Scalar is real (e.g., \c float or
+      * \c double), and the type of the real part of \c Scalar if #Scalar is
+      * complex.
+      */
+    typedef typename NumTraits<Scalar>::Real RealScalar;
+    
+    friend struct internal::direct_selfadjoint_eigenvalues<SelfAdjointEigenSolver,Size,NumTraits<Scalar>::IsComplex>;
+
+    /** \brief Type for vector of eigenvalues as returned by eigenvalues().
+      *
+      * This is a column vector with entries of type #RealScalar.
+      * The length of the vector is the size of \p _MatrixType.
+      */
+    typedef typename internal::plain_col_type<MatrixType, RealScalar>::type RealVectorType;
+    typedef Tridiagonalization<MatrixType> TridiagonalizationType;
+    typedef typename TridiagonalizationType::SubDiagonalType SubDiagonalType;
+
+    /** \brief Default constructor for fixed-size matrices.
+      *
+      * The default constructor is useful in cases in which the user intends to
+      * perform decompositions via compute(). This constructor
+      * can only be used if \p _MatrixType is a fixed-size matrix; use
+      * SelfAdjointEigenSolver(Index) for dynamic-size matrices.
+      *
+      * Example: \include SelfAdjointEigenSolver_SelfAdjointEigenSolver.cpp
+      * Output: \verbinclude SelfAdjointEigenSolver_SelfAdjointEigenSolver.out
+      */
+    EIGEN_DEVICE_FUNC
+    SelfAdjointEigenSolver()
+        : m_eivec(),
+          m_eivalues(),
+          m_subdiag(),
+          m_isInitialized(false)
+    { }
+
+    /** \brief Constructor, pre-allocates memory for dynamic-size matrices.
+      *
+      * \param [in]  size  Positive integer, size of the matrix whose
+      * eigenvalues and eigenvectors will be computed.
+      *
+      * This constructor is useful for dynamic-size matrices, when the user
+      * intends to perform decompositions via compute(). The \p size
+      * parameter is only used as a hint. It is not an error to give a wrong
+      * \p size, but it may impair performance.
+      *
+      * \sa compute() for an example
+      */
+    EIGEN_DEVICE_FUNC
+    explicit SelfAdjointEigenSolver(Index size)
+        : m_eivec(size, size),
+          m_eivalues(size),
+          m_subdiag(size > 1 ? size - 1 : 1),
+          m_isInitialized(false)
+    {}
+
+    /** \brief Constructor; computes eigendecomposition of given matrix.
+      *
+      * \param[in]  matrix  Selfadjoint matrix whose eigendecomposition is to
+      *    be computed. Only the lower triangular part of the matrix is referenced.
+      * \param[in]  options Can be #ComputeEigenvectors (default) or #EigenvaluesOnly.
+      *
+      * This constructor calls compute(const MatrixType&, int) to compute the
+      * eigenvalues of the matrix \p matrix. The eigenvectors are computed if
+      * \p options equals #ComputeEigenvectors.
+      *
+      * Example: \include SelfAdjointEigenSolver_SelfAdjointEigenSolver_MatrixType.cpp
+      * Output: \verbinclude SelfAdjointEigenSolver_SelfAdjointEigenSolver_MatrixType.out
+      *
+      * \sa compute(const MatrixType&, int)
+      */
+    template<typename InputType>
+    EIGEN_DEVICE_FUNC
+    explicit SelfAdjointEigenSolver(const EigenBase<InputType>& matrix, int options = ComputeEigenvectors)
+      : m_eivec(matrix.rows(), matrix.cols()),
+        m_eivalues(matrix.cols()),
+        m_subdiag(matrix.rows() > 1 ? matrix.rows() - 1 : 1),
+        m_isInitialized(false)
+    {
+      compute(matrix.derived(), options);
+    }
+
+    /** \brief Computes eigendecomposition of given matrix.
+      *
+      * \param[in]  matrix  Selfadjoint matrix whose eigendecomposition is to
+      *    be computed. Only the lower triangular part of the matrix is referenced.
+      * \param[in]  options Can be #ComputeEigenvectors (default) or #EigenvaluesOnly.
+      * \returns    Reference to \c *this
+      *
+      * This function computes the eigenvalues of \p matrix.  The eigenvalues()
+      * function can be used to retrieve them.  If \p options equals #ComputeEigenvectors,
+      * then the eigenvectors are also computed and can be retrieved by
+      * calling eigenvectors().
+      *
+      * This implementation uses a symmetric QR algorithm. The matrix is first
+      * reduced to tridiagonal form using the Tridiagonalization class. The
+      * tridiagonal matrix is then brought to diagonal form with implicit
+      * symmetric QR steps with Wilkinson shift. Details can be found in
+      * Section 8.3 of Golub \& Van Loan, <i>%Matrix Computations</i>.
+      *
+      * The cost of the computation is about \f$ 9n^3 \f$ if the eigenvectors
+      * are required and \f$ 4n^3/3 \f$ if they are not required.
+      *
+      * This method reuses the memory in the SelfAdjointEigenSolver object that
+      * was allocated when the object was constructed, if the size of the
+      * matrix does not change.
+      *
+      * Example: \include SelfAdjointEigenSolver_compute_MatrixType.cpp
+      * Output: \verbinclude SelfAdjointEigenSolver_compute_MatrixType.out
+      *
+      * \sa SelfAdjointEigenSolver(const MatrixType&, int)
+      */
+    template<typename InputType>
+    EIGEN_DEVICE_FUNC
+    SelfAdjointEigenSolver& compute(const EigenBase<InputType>& matrix, int options = ComputeEigenvectors);
+    
+    /** \brief Computes eigendecomposition of given matrix using a closed-form algorithm
+      *
+      * This is a variant of compute(const MatrixType&, int options) which
+      * directly solves the underlying polynomial equation.
+      * 
+      * Currently only 2x2 and 3x3 matrices for which the sizes are known at compile time are supported (e.g., Matrix3d).
+      * 
+      * This method is usually significantly faster than the QR iterative algorithm
+      * but it might also be less accurate. It is also worth noting that
+      * for 3x3 matrices it involves trigonometric operations which are
+      * not necessarily available for all scalar types.
+      * 
+      * For the 3x3 case, we observed the following worst case relative error regarding the eigenvalues:
+      *   - double: 1e-8
+      *   - float:  1e-3
+      *
+      * \sa compute(const MatrixType&, int options)
+      */
+    EIGEN_DEVICE_FUNC
+    SelfAdjointEigenSolver& computeDirect(const MatrixType& matrix, int options = ComputeEigenvectors);
+
+    /**
+      *\brief Computes the eigen decomposition from a tridiagonal symmetric matrix
+      *
+      * \param[in] diag The vector containing the diagonal of the matrix.
+      * \param[in] subdiag The subdiagonal of the matrix.
+      * \param[in] options Can be #ComputeEigenvectors (default) or #EigenvaluesOnly.
+      * \returns Reference to \c *this
+      *
+      * This function assumes that the matrix has been reduced to tridiagonal form.
+      *
+      * \sa compute(const MatrixType&, int) for more information
+      */
+    SelfAdjointEigenSolver& computeFromTridiagonal(const RealVectorType& diag, const SubDiagonalType& subdiag , int options=ComputeEigenvectors);
+
+    /** \brief Returns the eigenvectors of given matrix.
+      *
+      * \returns  A const reference to the matrix whose columns are the eigenvectors.
+      *
+      * \pre The eigenvectors have been computed before.
+      *
+      * Column \f$ k \f$ of the returned matrix is an eigenvector corresponding
+      * to eigenvalue number \f$ k \f$ as returned by eigenvalues().  The
+      * eigenvectors are normalized to have (Euclidean) norm equal to one. If
+      * this object was used to solve the eigenproblem for the selfadjoint
+      * matrix \f$ A \f$, then the matrix returned by this function is the
+      * matrix \f$ V \f$ in the eigendecomposition \f$ A = V D V^{-1} \f$.
+      *
+      * Example: \include SelfAdjointEigenSolver_eigenvectors.cpp
+      * Output: \verbinclude SelfAdjointEigenSolver_eigenvectors.out
+      *
+      * \sa eigenvalues()
+      */
+    EIGEN_DEVICE_FUNC
+    const EigenvectorsType& eigenvectors() const
+    {
+      eigen_assert(m_isInitialized && "SelfAdjointEigenSolver is not initialized.");
+      eigen_assert(m_eigenvectorsOk && "The eigenvectors have not been computed together with the eigenvalues.");
+      return m_eivec;
+    }
+
+    /** \brief Returns the eigenvalues of given matrix.
+      *
+      * \returns A const reference to the column vector containing the eigenvalues.
+      *
+      * \pre The eigenvalues have been computed before.
+      *
+      * The eigenvalues are repeated according to their algebraic multiplicity,
+      * so there are as many eigenvalues as rows in the matrix. The eigenvalues
+      * are sorted in increasing order.
+      *
+      * Example: \include SelfAdjointEigenSolver_eigenvalues.cpp
+      * Output: \verbinclude SelfAdjointEigenSolver_eigenvalues.out
+      *
+      * \sa eigenvectors(), MatrixBase::eigenvalues()
+      */
+    EIGEN_DEVICE_FUNC
+    const RealVectorType& eigenvalues() const
+    {
+      eigen_assert(m_isInitialized && "SelfAdjointEigenSolver is not initialized.");
+      return m_eivalues;
+    }
+
+    /** \brief Computes the positive-definite square root of the matrix.
+      *
+      * \returns the positive-definite square root of the matrix
+      *
+      * \pre The eigenvalues and eigenvectors of a positive-definite matrix
+      * have been computed before.
+      *
+      * The square root of a positive-definite matrix \f$ A \f$ is the
+      * positive-definite matrix whose square equals \f$ A \f$. This function
+      * uses the eigendecomposition \f$ A = V D V^{-1} \f$ to compute the
+      * square root as \f$ A^{1/2} = V D^{1/2} V^{-1} \f$.
+      *
+      * Example: \include SelfAdjointEigenSolver_operatorSqrt.cpp
+      * Output: \verbinclude SelfAdjointEigenSolver_operatorSqrt.out
+      *
+      * \sa operatorInverseSqrt(), <a href="unsupported/group__MatrixFunctions__Module.html">MatrixFunctions Module</a>
+      */
+    EIGEN_DEVICE_FUNC
+    MatrixType operatorSqrt() const
+    {
+      eigen_assert(m_isInitialized && "SelfAdjointEigenSolver is not initialized.");
+      eigen_assert(m_eigenvectorsOk && "The eigenvectors have not been computed together with the eigenvalues.");
+      return m_eivec * m_eivalues.cwiseSqrt().asDiagonal() * m_eivec.adjoint();
+    }
+
+    /** \brief Computes the inverse square root of the matrix.
+      *
+      * \returns the inverse positive-definite square root of the matrix
+      *
+      * \pre The eigenvalues and eigenvectors of a positive-definite matrix
+      * have been computed before.
+      *
+      * This function uses the eigendecomposition \f$ A = V D V^{-1} \f$ to
+      * compute the inverse square root as \f$ V D^{-1/2} V^{-1} \f$. This is
+      * cheaper than first computing the square root with operatorSqrt() and
+      * then its inverse with MatrixBase::inverse().
+      *
+      * Example: \include SelfAdjointEigenSolver_operatorInverseSqrt.cpp
+      * Output: \verbinclude SelfAdjointEigenSolver_operatorInverseSqrt.out
+      *
+      * \sa operatorSqrt(), MatrixBase::inverse(), <a href="unsupported/group__MatrixFunctions__Module.html">MatrixFunctions Module</a>
+      */
+    EIGEN_DEVICE_FUNC
+    MatrixType operatorInverseSqrt() const
+    {
+      eigen_assert(m_isInitialized && "SelfAdjointEigenSolver is not initialized.");
+      eigen_assert(m_eigenvectorsOk && "The eigenvectors have not been computed together with the eigenvalues.");
+      return m_eivec * m_eivalues.cwiseInverse().cwiseSqrt().asDiagonal() * m_eivec.adjoint();
+    }
+
+    /** \brief Reports whether previous computation was successful.
+      *
+      * \returns \c Success if computation was succesful, \c NoConvergence otherwise.
+      */
+    EIGEN_DEVICE_FUNC
+    ComputationInfo info() const
+    {
+      eigen_assert(m_isInitialized && "SelfAdjointEigenSolver is not initialized.");
+      return m_info;
+    }
+
+    /** \brief Maximum number of iterations.
+      *
+      * The algorithm terminates if it does not converge within m_maxIterations * n iterations, where n
+      * denotes the size of the matrix. This value is currently set to 30 (copied from LAPACK).
+      */
+    static const int m_maxIterations = 30;
+
+  protected:
+    static void check_template_parameters()
+    {
+      EIGEN_STATIC_ASSERT_NON_INTEGER(Scalar);
+    }
+    
+    EigenvectorsType m_eivec;
+    RealVectorType m_eivalues;
+    typename TridiagonalizationType::SubDiagonalType m_subdiag;
+    ComputationInfo m_info;
+    bool m_isInitialized;
+    bool m_eigenvectorsOk;
+};
+
+namespace internal {
+/** \internal
+  *
+  * \eigenvalues_module \ingroup Eigenvalues_Module
+  *
+  * Performs a QR step on a tridiagonal symmetric matrix represented as a
+  * pair of two vectors \a diag and \a subdiag.
+  *
+  * \param diag the diagonal part of the input selfadjoint tridiagonal matrix
+  * \param subdiag the sub-diagonal part of the input selfadjoint tridiagonal matrix
+  * \param start starting index of the submatrix to work on
+  * \param end last+1 index of the submatrix to work on
+  * \param matrixQ pointer to the column-major matrix holding the eigenvectors, can be 0
+  * \param n size of the input matrix
+  *
+  * For compilation efficiency reasons, this procedure does not use eigen expression
+  * for its arguments.
+  *
+  * Implemented from Golub's "Matrix Computations", algorithm 8.3.2:
+  * "implicit symmetric QR step with Wilkinson shift"
+  */
+template<int StorageOrder,typename RealScalar, typename Scalar, typename Index>
+EIGEN_DEVICE_FUNC
+static void tridiagonal_qr_step(RealScalar* diag, RealScalar* subdiag, Index start, Index end, Scalar* matrixQ, Index n);
+}
+
+template<typename MatrixType>
+template<typename InputType>
+EIGEN_DEVICE_FUNC
+SelfAdjointEigenSolver<MatrixType>& SelfAdjointEigenSolver<MatrixType>
+::compute(const EigenBase<InputType>& a_matrix, int options)
+{
+  check_template_parameters();
+  
+  const InputType &matrix(a_matrix.derived());
+  
+  using std::abs;
+  eigen_assert(matrix.cols() == matrix.rows());
+  eigen_assert((options&~(EigVecMask|GenEigMask))==0
+          && (options&EigVecMask)!=EigVecMask
+          && "invalid option parameter");
+  bool computeEigenvectors = (options&ComputeEigenvectors)==ComputeEigenvectors;
+  Index n = matrix.cols();
+  m_eivalues.resize(n,1);
+
+  if(n==1)
+  {
+    m_eivec = matrix;
+    m_eivalues.coeffRef(0,0) = numext::real(m_eivec.coeff(0,0));
+    if(computeEigenvectors)
+      m_eivec.setOnes(n,n);
+    m_info = Success;
+    m_isInitialized = true;
+    m_eigenvectorsOk = computeEigenvectors;
+    return *this;
+  }
+
+  // declare some aliases
+  RealVectorType& diag = m_eivalues;
+  EigenvectorsType& mat = m_eivec;
+
+  // map the matrix coefficients to [-1:1] to avoid over- and underflow.
+  mat = matrix.template triangularView<Lower>();
+  RealScalar scale = mat.cwiseAbs().maxCoeff();
+  if(scale==RealScalar(0)) scale = RealScalar(1);
+  mat.template triangularView<Lower>() /= scale;
+  m_subdiag.resize(n-1);
+  internal::tridiagonalization_inplace(mat, diag, m_subdiag, computeEigenvectors);
+
+  m_info = internal::computeFromTridiagonal_impl(diag, m_subdiag, m_maxIterations, computeEigenvectors, m_eivec);
+  
+  // scale back the eigen values
+  m_eivalues *= scale;
+
+  m_isInitialized = true;
+  m_eigenvectorsOk = computeEigenvectors;
+  return *this;
+}
+
+template<typename MatrixType>
+SelfAdjointEigenSolver<MatrixType>& SelfAdjointEigenSolver<MatrixType>
+::computeFromTridiagonal(const RealVectorType& diag, const SubDiagonalType& subdiag , int options)
+{
+  //TODO : Add an option to scale the values beforehand
+  bool computeEigenvectors = (options&ComputeEigenvectors)==ComputeEigenvectors;
+
+  m_eivalues = diag;
+  m_subdiag = subdiag;
+  if (computeEigenvectors)
+  {
+    m_eivec.setIdentity(diag.size(), diag.size());
+  }
+  m_info = internal::computeFromTridiagonal_impl(m_eivalues, m_subdiag, m_maxIterations, computeEigenvectors, m_eivec);
+
+  m_isInitialized = true;
+  m_eigenvectorsOk = computeEigenvectors;
+  return *this;
+}
+
+namespace internal {
+/**
+  * \internal
+  * \brief Compute the eigendecomposition from a tridiagonal matrix
+  *
+  * \param[in,out] diag : On input, the diagonal of the matrix, on output the eigenvalues
+  * \param[in,out] subdiag : The subdiagonal part of the matrix (entries are modified during the decomposition)
+  * \param[in] maxIterations : the maximum number of iterations
+  * \param[in] computeEigenvectors : whether the eigenvectors have to be computed or not
+  * \param[out] eivec : The matrix to store the eigenvectors if computeEigenvectors==true. Must be allocated on input.
+  * \returns \c Success or \c NoConvergence
+  */
+template<typename MatrixType, typename DiagType, typename SubDiagType>
+ComputationInfo computeFromTridiagonal_impl(DiagType& diag, SubDiagType& subdiag, const Index maxIterations, bool computeEigenvectors, MatrixType& eivec)
+{
+  using std::abs;
+
+  ComputationInfo info;
+  typedef typename MatrixType::Scalar Scalar;
+
+  Index n = diag.size();
+  Index end = n-1;
+  Index start = 0;
+  Index iter = 0; // total number of iterations
+  
+  typedef typename DiagType::RealScalar RealScalar;
+  const RealScalar considerAsZero = (std::numeric_limits<RealScalar>::min)();
+  const RealScalar precision = RealScalar(2)*NumTraits<RealScalar>::epsilon();
+  
+  while (end>0)
+  {
+    for (Index i = start; i<end; ++i)
+      if (internal::isMuchSmallerThan(abs(subdiag[i]),(abs(diag[i])+abs(diag[i+1])),precision) || abs(subdiag[i]) <= considerAsZero)
+        subdiag[i] = 0;
+
+    // find the largest unreduced block
+    while (end>0 && subdiag[end-1]==RealScalar(0))
+    {
+      end--;
+    }
+    if (end<=0)
+      break;
+
+    // if we spent too many iterations, we give up
+    iter++;
+    if(iter > maxIterations * n) break;
+
+    start = end - 1;
+    while (start>0 && subdiag[start-1]!=0)
+      start--;
+
+    internal::tridiagonal_qr_step<MatrixType::Flags&RowMajorBit ? RowMajor : ColMajor>(diag.data(), subdiag.data(), start, end, computeEigenvectors ? eivec.data() : (Scalar*)0, n);
+  }
+  if (iter <= maxIterations * n)
+    info = Success;
+  else
+    info = NoConvergence;
+
+  // Sort eigenvalues and corresponding vectors.
+  // TODO make the sort optional ?
+  // TODO use a better sort algorithm !!
+  if (info == Success)
+  {
+    for (Index i = 0; i < n-1; ++i)
+    {
+      Index k;
+      diag.segment(i,n-i).minCoeff(&k);
+      if (k > 0)
+      {
+        std::swap(diag[i], diag[k+i]);
+        if(computeEigenvectors)
+          eivec.col(i).swap(eivec.col(k+i));
+      }
+    }
+  }
+  return info;
+}
+  
+template<typename SolverType,int Size,bool IsComplex> struct direct_selfadjoint_eigenvalues
+{
+  EIGEN_DEVICE_FUNC
+  static inline void run(SolverType& eig, const typename SolverType::MatrixType& A, int options)
+  { eig.compute(A,options); }
+};
+
+template<typename SolverType> struct direct_selfadjoint_eigenvalues<SolverType,3,false>
+{
+  typedef typename SolverType::MatrixType MatrixType;
+  typedef typename SolverType::RealVectorType VectorType;
+  typedef typename SolverType::Scalar Scalar;
+  typedef typename SolverType::EigenvectorsType EigenvectorsType;
+  
+
+  /** \internal
+   * Computes the roots of the characteristic polynomial of \a m.
+   * For numerical stability m.trace() should be near zero and to avoid over- or underflow m should be normalized.
+   */
+  EIGEN_DEVICE_FUNC
+  static inline void computeRoots(const MatrixType& m, VectorType& roots)
+  {
+    EIGEN_USING_STD_MATH(sqrt)
+    EIGEN_USING_STD_MATH(atan2)
+    EIGEN_USING_STD_MATH(cos)
+    EIGEN_USING_STD_MATH(sin)
+    const Scalar s_inv3 = Scalar(1)/Scalar(3);
+    const Scalar s_sqrt3 = sqrt(Scalar(3));
+
+    // The characteristic equation is x^3 - c2*x^2 + c1*x - c0 = 0.  The
+    // eigenvalues are the roots to this equation, all guaranteed to be
+    // real-valued, because the matrix is symmetric.
+    Scalar c0 = m(0,0)*m(1,1)*m(2,2) + Scalar(2)*m(1,0)*m(2,0)*m(2,1) - m(0,0)*m(2,1)*m(2,1) - m(1,1)*m(2,0)*m(2,0) - m(2,2)*m(1,0)*m(1,0);
+    Scalar c1 = m(0,0)*m(1,1) - m(1,0)*m(1,0) + m(0,0)*m(2,2) - m(2,0)*m(2,0) + m(1,1)*m(2,2) - m(2,1)*m(2,1);
+    Scalar c2 = m(0,0) + m(1,1) + m(2,2);
+
+    // Construct the parameters used in classifying the roots of the equation
+    // and in solving the equation for the roots in closed form.
+    Scalar c2_over_3 = c2*s_inv3;
+    Scalar a_over_3 = (c2*c2_over_3 - c1)*s_inv3;
+    a_over_3 = numext::maxi(a_over_3, Scalar(0));
+
+    Scalar half_b = Scalar(0.5)*(c0 + c2_over_3*(Scalar(2)*c2_over_3*c2_over_3 - c1));
+
+    Scalar q = a_over_3*a_over_3*a_over_3 - half_b*half_b;
+    q = numext::maxi(q, Scalar(0));
+
+    // Compute the eigenvalues by solving for the roots of the polynomial.
+    Scalar rho = sqrt(a_over_3);
+    Scalar theta = atan2(sqrt(q),half_b)*s_inv3;  // since sqrt(q) > 0, atan2 is in [0, pi] and theta is in [0, pi/3]
+    Scalar cos_theta = cos(theta);
+    Scalar sin_theta = sin(theta);
+    // roots are already sorted, since cos is monotonically decreasing on [0, pi]
+    roots(0) = c2_over_3 - rho*(cos_theta + s_sqrt3*sin_theta); // == 2*rho*cos(theta+2pi/3)
+    roots(1) = c2_over_3 - rho*(cos_theta - s_sqrt3*sin_theta); // == 2*rho*cos(theta+ pi/3)
+    roots(2) = c2_over_3 + Scalar(2)*rho*cos_theta;
+  }
+
+  EIGEN_DEVICE_FUNC
+  static inline bool extract_kernel(MatrixType& mat, Ref<VectorType> res, Ref<VectorType> representative)
+  {
+    EIGEN_USING_STD_MATH(sqrt)
+    EIGEN_USING_STD_MATH(abs)
+    Index i0;
+    // Find non-zero column i0 (by construction, there must exist a non zero coefficient on the diagonal):
+    mat.diagonal().cwiseAbs().maxCoeff(&i0);
+    // mat.col(i0) is a good candidate for an orthogonal vector to the current eigenvector,
+    // so let's save it:
+    representative = mat.col(i0);
+    Scalar n0, n1;
+    VectorType c0, c1;
+    n0 = (c0 = representative.cross(mat.col((i0+1)%3))).squaredNorm();
+    n1 = (c1 = representative.cross(mat.col((i0+2)%3))).squaredNorm();
+    if(n0>n1) res = c0/sqrt(n0);
+    else      res = c1/sqrt(n1);
+
+    return true;
+  }
+
+  EIGEN_DEVICE_FUNC
+  static inline void run(SolverType& solver, const MatrixType& mat, int options)
+  {
+    eigen_assert(mat.cols() == 3 && mat.cols() == mat.rows());
+    eigen_assert((options&~(EigVecMask|GenEigMask))==0
+            && (options&EigVecMask)!=EigVecMask
+            && "invalid option parameter");
+    bool computeEigenvectors = (options&ComputeEigenvectors)==ComputeEigenvectors;
+    
+    EigenvectorsType& eivecs = solver.m_eivec;
+    VectorType& eivals = solver.m_eivalues;
+  
+    // Shift the matrix to the mean eigenvalue and map the matrix coefficients to [-1:1] to avoid over- and underflow.
+    Scalar shift = mat.trace() / Scalar(3);
+    // TODO Avoid this copy. Currently it is necessary to suppress bogus values when determining maxCoeff and for computing the eigenvectors later
+    MatrixType scaledMat = mat.template selfadjointView<Lower>();
+    scaledMat.diagonal().array() -= shift;
+    Scalar scale = scaledMat.cwiseAbs().maxCoeff();
+    if(scale > 0) scaledMat /= scale;   // TODO for scale==0 we could save the remaining operations
+
+    // compute the eigenvalues
+    computeRoots(scaledMat,eivals);
+
+    // compute the eigenvectors
+    if(computeEigenvectors)
+    {
+      if((eivals(2)-eivals(0))<=Eigen::NumTraits<Scalar>::epsilon())
+      {
+        // All three eigenvalues are numerically the same
+        eivecs.setIdentity();
+      }
+      else
+      {
+        MatrixType tmp;
+        tmp = scaledMat;
+
+        // Compute the eigenvector of the most distinct eigenvalue
+        Scalar d0 = eivals(2) - eivals(1);
+        Scalar d1 = eivals(1) - eivals(0);
+        Index k(0), l(2);
+        if(d0 > d1)
+        {
+          numext::swap(k,l);
+          d0 = d1;
+        }
+
+        // Compute the eigenvector of index k
+        {
+          tmp.diagonal().array () -= eivals(k);
+          // By construction, 'tmp' is of rank 2, and its kernel corresponds to the respective eigenvector.
+          extract_kernel(tmp, eivecs.col(k), eivecs.col(l));
+        }
+
+        // Compute eigenvector of index l
+        if(d0<=2*Eigen::NumTraits<Scalar>::epsilon()*d1)
+        {
+          // If d0 is too small, then the two other eigenvalues are numerically the same,
+          // and thus we only have to ortho-normalize the near orthogonal vector we saved above.
+          eivecs.col(l) -= eivecs.col(k).dot(eivecs.col(l))*eivecs.col(l);
+          eivecs.col(l).normalize();
+        }
+        else
+        {
+          tmp = scaledMat;
+          tmp.diagonal().array () -= eivals(l);
+
+          VectorType dummy;
+          extract_kernel(tmp, eivecs.col(l), dummy);
+        }
+
+        // Compute last eigenvector from the other two
+        eivecs.col(1) = eivecs.col(2).cross(eivecs.col(0)).normalized();
+      }
+    }
+
+    // Rescale back to the original size.
+    eivals *= scale;
+    eivals.array() += shift;
+    
+    solver.m_info = Success;
+    solver.m_isInitialized = true;
+    solver.m_eigenvectorsOk = computeEigenvectors;
+  }
+};
+
+// 2x2 direct eigenvalues decomposition, code from Hauke Heibel
+template<typename SolverType> 
+struct direct_selfadjoint_eigenvalues<SolverType,2,false>
+{
+  typedef typename SolverType::MatrixType MatrixType;
+  typedef typename SolverType::RealVectorType VectorType;
+  typedef typename SolverType::Scalar Scalar;
+  typedef typename SolverType::EigenvectorsType EigenvectorsType;
+  
+  EIGEN_DEVICE_FUNC
+  static inline void computeRoots(const MatrixType& m, VectorType& roots)
+  {
+    using std::sqrt;
+    const Scalar t0 = Scalar(0.5) * sqrt( numext::abs2(m(0,0)-m(1,1)) + Scalar(4)*numext::abs2(m(1,0)));
+    const Scalar t1 = Scalar(0.5) * (m(0,0) + m(1,1));
+    roots(0) = t1 - t0;
+    roots(1) = t1 + t0;
+  }
+  
+  EIGEN_DEVICE_FUNC
+  static inline void run(SolverType& solver, const MatrixType& mat, int options)
+  {
+    EIGEN_USING_STD_MATH(sqrt);
+    EIGEN_USING_STD_MATH(abs);
+    
+    eigen_assert(mat.cols() == 2 && mat.cols() == mat.rows());
+    eigen_assert((options&~(EigVecMask|GenEigMask))==0
+            && (options&EigVecMask)!=EigVecMask
+            && "invalid option parameter");
+    bool computeEigenvectors = (options&ComputeEigenvectors)==ComputeEigenvectors;
+    
+    EigenvectorsType& eivecs = solver.m_eivec;
+    VectorType& eivals = solver.m_eivalues;
+  
+    // Shift the matrix to the mean eigenvalue and map the matrix coefficients to [-1:1] to avoid over- and underflow.
+    Scalar shift = mat.trace() / Scalar(2);
+    MatrixType scaledMat = mat;
+    scaledMat.coeffRef(0,1) = mat.coeff(1,0);
+    scaledMat.diagonal().array() -= shift;
+    Scalar scale = scaledMat.cwiseAbs().maxCoeff();
+    if(scale > Scalar(0))
+      scaledMat /= scale;
+
+    // Compute the eigenvalues
+    computeRoots(scaledMat,eivals);
+
+    // compute the eigen vectors
+    if(computeEigenvectors)
+    {
+      if((eivals(1)-eivals(0))<=abs(eivals(1))*Eigen::NumTraits<Scalar>::epsilon())
+      {
+        eivecs.setIdentity();
+      }
+      else
+      {
+        scaledMat.diagonal().array () -= eivals(1);
+        Scalar a2 = numext::abs2(scaledMat(0,0));
+        Scalar c2 = numext::abs2(scaledMat(1,1));
+        Scalar b2 = numext::abs2(scaledMat(1,0));
+        if(a2>c2)
+        {
+          eivecs.col(1) << -scaledMat(1,0), scaledMat(0,0);
+          eivecs.col(1) /= sqrt(a2+b2);
+        }
+        else
+        {
+          eivecs.col(1) << -scaledMat(1,1), scaledMat(1,0);
+          eivecs.col(1) /= sqrt(c2+b2);
+        }
+
+        eivecs.col(0) << eivecs.col(1).unitOrthogonal();
+      }
+    }
+
+    // Rescale back to the original size.
+    eivals *= scale;
+    eivals.array() += shift;
+
+    solver.m_info = Success;
+    solver.m_isInitialized = true;
+    solver.m_eigenvectorsOk = computeEigenvectors;
+  }
+};
+
+}
+
+template<typename MatrixType>
+EIGEN_DEVICE_FUNC
+SelfAdjointEigenSolver<MatrixType>& SelfAdjointEigenSolver<MatrixType>
+::computeDirect(const MatrixType& matrix, int options)
+{
+  internal::direct_selfadjoint_eigenvalues<SelfAdjointEigenSolver,Size,NumTraits<Scalar>::IsComplex>::run(*this,matrix,options);
+  return *this;
+}
+
+namespace internal {
+template<int StorageOrder,typename RealScalar, typename Scalar, typename Index>
+EIGEN_DEVICE_FUNC
+static void tridiagonal_qr_step(RealScalar* diag, RealScalar* subdiag, Index start, Index end, Scalar* matrixQ, Index n)
+{
+  using std::abs;
+  RealScalar td = (diag[end-1] - diag[end])*RealScalar(0.5);
+  RealScalar e = subdiag[end-1];
+  // Note that thanks to scaling, e^2 or td^2 cannot overflow, however they can still
+  // underflow thus leading to inf/NaN values when using the following commented code:
+//   RealScalar e2 = numext::abs2(subdiag[end-1]);
+//   RealScalar mu = diag[end] - e2 / (td + (td>0 ? 1 : -1) * sqrt(td*td + e2));
+  // This explain the following, somewhat more complicated, version:
+  RealScalar mu = diag[end];
+  if(td==RealScalar(0))
+    mu -= abs(e);
+  else
+  {
+    RealScalar e2 = numext::abs2(subdiag[end-1]);
+    RealScalar h = numext::hypot(td,e);
+    if(e2==RealScalar(0)) mu -= (e / (td + (td>RealScalar(0) ? RealScalar(1) : RealScalar(-1)))) * (e / h);
+    else                  mu -= e2 / (td + (td>RealScalar(0) ? h : -h));
+  }
+  
+  RealScalar x = diag[start] - mu;
+  RealScalar z = subdiag[start];
+  for (Index k = start; k < end; ++k)
+  {
+    JacobiRotation<RealScalar> rot;
+    rot.makeGivens(x, z);
+
+    // do T = G' T G
+    RealScalar sdk = rot.s() * diag[k] + rot.c() * subdiag[k];
+    RealScalar dkp1 = rot.s() * subdiag[k] + rot.c() * diag[k+1];
+
+    diag[k] = rot.c() * (rot.c() * diag[k] - rot.s() * subdiag[k]) - rot.s() * (rot.c() * subdiag[k] - rot.s() * diag[k+1]);
+    diag[k+1] = rot.s() * sdk + rot.c() * dkp1;
+    subdiag[k] = rot.c() * sdk - rot.s() * dkp1;
+    
+
+    if (k > start)
+      subdiag[k - 1] = rot.c() * subdiag[k-1] - rot.s() * z;
+
+    x = subdiag[k];
+
+    if (k < end - 1)
+    {
+      z = -rot.s() * subdiag[k+1];
+      subdiag[k + 1] = rot.c() * subdiag[k+1];
+    }
+    
+    // apply the givens rotation to the unit matrix Q = Q * G
+    if (matrixQ)
+    {
+      // FIXME if StorageOrder == RowMajor this operation is not very efficient
+      Map<Matrix<Scalar,Dynamic,Dynamic,StorageOrder> > q(matrixQ,n,n);
+      q.applyOnTheRight(k,k+1,rot);
+    }
+  }
+}
+
+} // end namespace internal
+
+} // end namespace Eigen
+
+#endif // EIGEN_SELFADJOINTEIGENSOLVER_H
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver_LAPACKE.h
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver_LAPACKE.h	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver_LAPACKE.h	(revision 3761)
@@ -0,0 +1,87 @@
+/*
+ Copyright (c) 2011, Intel Corporation. All rights reserved.
+
+ Redistribution and use in source and binary forms, with or without modification,
+ are permitted provided that the following conditions are met:
+
+ * Redistributions of source code must retain the above copyright notice, this
+   list of conditions and the following disclaimer.
+ * Redistributions in binary form must reproduce the above copyright notice,
+   this list of conditions and the following disclaimer in the documentation
+   and/or other materials provided with the distribution.
+ * Neither the name of Intel Corporation nor the names of its contributors may
+   be used to endorse or promote products derived from this software without
+   specific prior written permission.
+
+ THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND
+ ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED
+ WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
+ DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE LIABLE FOR
+ ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES
+ (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES;
+ LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON
+ ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
+ (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS
+ SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
+
+ ********************************************************************************
+ *   Content : Eigen bindings to LAPACKe
+ *    Self-adjoint eigenvalues/eigenvectors.
+ ********************************************************************************
+*/
+
+#ifndef EIGEN_SAEIGENSOLVER_LAPACKE_H
+#define EIGEN_SAEIGENSOLVER_LAPACKE_H
+
+namespace Eigen { 
+
+/** \internal Specialization for the data types supported by LAPACKe */
+
+#define EIGEN_LAPACKE_EIG_SELFADJ_2(EIGTYPE, LAPACKE_TYPE, LAPACKE_RTYPE, LAPACKE_NAME, EIGCOLROW ) \
+template<> template<typename InputType> inline \
+SelfAdjointEigenSolver<Matrix<EIGTYPE, Dynamic, Dynamic, EIGCOLROW> >& \
+SelfAdjointEigenSolver<Matrix<EIGTYPE, Dynamic, Dynamic, EIGCOLROW> >::compute(const EigenBase<InputType>& matrix, int options) \
+{ \
+  eigen_assert(matrix.cols() == matrix.rows()); \
+  eigen_assert((options&~(EigVecMask|GenEigMask))==0 \
+          && (options&EigVecMask)!=EigVecMask \
+          && "invalid option parameter"); \
+  bool computeEigenvectors = (options&ComputeEigenvectors)==ComputeEigenvectors; \
+  lapack_int n = internal::convert_index<lapack_int>(matrix.cols()), lda, info; \
+  m_eivalues.resize(n,1); \
+  m_subdiag.resize(n-1); \
+  m_eivec = matrix; \
+\
+  if(n==1) \
+  { \
+    m_eivalues.coeffRef(0,0) = numext::real(m_eivec.coeff(0,0)); \
+    if(computeEigenvectors) m_eivec.setOnes(n,n); \
+    m_info = Success; \
+    m_isInitialized = true; \
+    m_eigenvectorsOk = computeEigenvectors; \
+    return *this; \
+  } \
+\
+  lda = internal::convert_index<lapack_int>(m_eivec.outerStride()); \
+  char jobz, uplo='L'/*, range='A'*/; \
+  jobz = computeEigenvectors ? 'V' : 'N'; \
+\
+  info = LAPACKE_##LAPACKE_NAME( LAPACK_COL_MAJOR, jobz, uplo, n, (LAPACKE_TYPE*)m_eivec.data(), lda, (LAPACKE_RTYPE*)m_eivalues.data() ); \
+  m_info = (info==0) ? Success : NoConvergence; \
+  m_isInitialized = true; \
+  m_eigenvectorsOk = computeEigenvectors; \
+  return *this; \
+}
+
+#define EIGEN_LAPACKE_EIG_SELFADJ(EIGTYPE, LAPACKE_TYPE, LAPACKE_RTYPE, LAPACKE_NAME )              \
+        EIGEN_LAPACKE_EIG_SELFADJ_2(EIGTYPE, LAPACKE_TYPE, LAPACKE_RTYPE, LAPACKE_NAME, ColMajor )  \
+        EIGEN_LAPACKE_EIG_SELFADJ_2(EIGTYPE, LAPACKE_TYPE, LAPACKE_RTYPE, LAPACKE_NAME, RowMajor ) 
+
+EIGEN_LAPACKE_EIG_SELFADJ(double,   double,                double, dsyev)
+EIGEN_LAPACKE_EIG_SELFADJ(float,    float,                 float,  ssyev)
+EIGEN_LAPACKE_EIG_SELFADJ(dcomplex, lapack_complex_double, double, zheev)
+EIGEN_LAPACKE_EIG_SELFADJ(scomplex, lapack_complex_float,  float,  cheev)
+
+} // end namespace Eigen
+
+#endif // EIGEN_SAEIGENSOLVER_H
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Eigenvalues/MatrixBaseEigenvalues.h
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Eigenvalues/MatrixBaseEigenvalues.h	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Eigenvalues/MatrixBaseEigenvalues.h	(revision 3761)
@@ -0,0 +1,158 @@
+// This file is part of Eigen, a lightweight C++ template library
+// for linear algebra.
+//
+// Copyright (C) 2008 Gael Guennebaud <gael.guennebaud@inria.fr>
+// Copyright (C) 2010 Jitse Niesen <jitse@maths.leeds.ac.uk>
+//
+// This Source Code Form is subject to the terms of the Mozilla
+// Public License v. 2.0. If a copy of the MPL was not distributed
+// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
+
+#ifndef EIGEN_MATRIXBASEEIGENVALUES_H
+#define EIGEN_MATRIXBASEEIGENVALUES_H
+
+namespace Eigen { 
+
+namespace internal {
+
+template<typename Derived, bool IsComplex>
+struct eigenvalues_selector
+{
+  // this is the implementation for the case IsComplex = true
+  static inline typename MatrixBase<Derived>::EigenvaluesReturnType const
+  run(const MatrixBase<Derived>& m)
+  {
+    typedef typename Derived::PlainObject PlainObject;
+    PlainObject m_eval(m);
+    return ComplexEigenSolver<PlainObject>(m_eval, false).eigenvalues();
+  }
+};
+
+template<typename Derived>
+struct eigenvalues_selector<Derived, false>
+{
+  static inline typename MatrixBase<Derived>::EigenvaluesReturnType const
+  run(const MatrixBase<Derived>& m)
+  {
+    typedef typename Derived::PlainObject PlainObject;
+    PlainObject m_eval(m);
+    return EigenSolver<PlainObject>(m_eval, false).eigenvalues();
+  }
+};
+
+} // end namespace internal
+
+/** \brief Computes the eigenvalues of a matrix 
+  * \returns Column vector containing the eigenvalues.
+  *
+  * \eigenvalues_module
+  * This function computes the eigenvalues with the help of the EigenSolver
+  * class (for real matrices) or the ComplexEigenSolver class (for complex
+  * matrices). 
+  *
+  * The eigenvalues are repeated according to their algebraic multiplicity,
+  * so there are as many eigenvalues as rows in the matrix.
+  *
+  * The SelfAdjointView class provides a better algorithm for selfadjoint
+  * matrices.
+  *
+  * Example: \include MatrixBase_eigenvalues.cpp
+  * Output: \verbinclude MatrixBase_eigenvalues.out
+  *
+  * \sa EigenSolver::eigenvalues(), ComplexEigenSolver::eigenvalues(),
+  *     SelfAdjointView::eigenvalues()
+  */
+template<typename Derived>
+inline typename MatrixBase<Derived>::EigenvaluesReturnType
+MatrixBase<Derived>::eigenvalues() const
+{
+  return internal::eigenvalues_selector<Derived, NumTraits<Scalar>::IsComplex>::run(derived());
+}
+
+/** \brief Computes the eigenvalues of a matrix
+  * \returns Column vector containing the eigenvalues.
+  *
+  * \eigenvalues_module
+  * This function computes the eigenvalues with the help of the
+  * SelfAdjointEigenSolver class.  The eigenvalues are repeated according to
+  * their algebraic multiplicity, so there are as many eigenvalues as rows in
+  * the matrix.
+  *
+  * Example: \include SelfAdjointView_eigenvalues.cpp
+  * Output: \verbinclude SelfAdjointView_eigenvalues.out
+  *
+  * \sa SelfAdjointEigenSolver::eigenvalues(), MatrixBase::eigenvalues()
+  */
+template<typename MatrixType, unsigned int UpLo> 
+inline typename SelfAdjointView<MatrixType, UpLo>::EigenvaluesReturnType
+SelfAdjointView<MatrixType, UpLo>::eigenvalues() const
+{
+  PlainObject thisAsMatrix(*this);
+  return SelfAdjointEigenSolver<PlainObject>(thisAsMatrix, false).eigenvalues();
+}
+
+
+
+/** \brief Computes the L2 operator norm
+  * \returns Operator norm of the matrix.
+  *
+  * \eigenvalues_module
+  * This function computes the L2 operator norm of a matrix, which is also
+  * known as the spectral norm. The norm of a matrix \f$ A \f$ is defined to be
+  * \f[ \|A\|_2 = \max_x \frac{\|Ax\|_2}{\|x\|_2} \f]
+  * where the maximum is over all vectors and the norm on the right is the
+  * Euclidean vector norm. The norm equals the largest singular value, which is
+  * the square root of the largest eigenvalue of the positive semi-definite
+  * matrix \f$ A^*A \f$.
+  *
+  * The current implementation uses the eigenvalues of \f$ A^*A \f$, as computed
+  * by SelfAdjointView::eigenvalues(), to compute the operator norm of a
+  * matrix.  The SelfAdjointView class provides a better algorithm for
+  * selfadjoint matrices.
+  *
+  * Example: \include MatrixBase_operatorNorm.cpp
+  * Output: \verbinclude MatrixBase_operatorNorm.out
+  *
+  * \sa SelfAdjointView::eigenvalues(), SelfAdjointView::operatorNorm()
+  */
+template<typename Derived>
+inline typename MatrixBase<Derived>::RealScalar
+MatrixBase<Derived>::operatorNorm() const
+{
+  using std::sqrt;
+  typename Derived::PlainObject m_eval(derived());
+  // FIXME if it is really guaranteed that the eigenvalues are already sorted,
+  // then we don't need to compute a maxCoeff() here, comparing the 1st and last ones is enough.
+  return sqrt((m_eval*m_eval.adjoint())
+                 .eval()
+		 .template selfadjointView<Lower>()
+		 .eigenvalues()
+		 .maxCoeff()
+		 );
+}
+
+/** \brief Computes the L2 operator norm
+  * \returns Operator norm of the matrix.
+  *
+  * \eigenvalues_module
+  * This function computes the L2 operator norm of a self-adjoint matrix. For a
+  * self-adjoint matrix, the operator norm is the largest eigenvalue.
+  *
+  * The current implementation uses the eigenvalues of the matrix, as computed
+  * by eigenvalues(), to compute the operator norm of the matrix.
+  *
+  * Example: \include SelfAdjointView_operatorNorm.cpp
+  * Output: \verbinclude SelfAdjointView_operatorNorm.out
+  *
+  * \sa eigenvalues(), MatrixBase::operatorNorm()
+  */
+template<typename MatrixType, unsigned int UpLo>
+inline typename SelfAdjointView<MatrixType, UpLo>::RealScalar
+SelfAdjointView<MatrixType, UpLo>::operatorNorm() const
+{
+  return eigenvalues().cwiseAbs().maxCoeff();
+}
+
+} // end namespace Eigen
+
+#endif
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h	(revision 3761)
@@ -0,0 +1,553 @@
+// This file is part of Eigen, a lightweight C++ template library
+// for linear algebra.
+//
+// Copyright (C) 2008 Gael Guennebaud <gael.guennebaud@inria.fr>
+// Copyright (C) 2010,2012 Jitse Niesen <jitse@maths.leeds.ac.uk>
+//
+// This Source Code Form is subject to the terms of the Mozilla
+// Public License v. 2.0. If a copy of the MPL was not distributed
+// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
+
+#ifndef EIGEN_REAL_SCHUR_H
+#define EIGEN_REAL_SCHUR_H
+
+#include "./HessenbergDecomposition.h"
+
+namespace Eigen { 
+
+/** \eigenvalues_module \ingroup Eigenvalues_Module
+  *
+  *
+  * \class RealSchur
+  *
+  * \brief Performs a real Schur decomposition of a square matrix
+  *
+  * \tparam _MatrixType the type of the matrix of which we are computing the
+  * real Schur decomposition; this is expected to be an instantiation of the
+  * Matrix class template.
+  *
+  * Given a real square matrix A, this class computes the real Schur
+  * decomposition: \f$ A = U T U^T \f$ where U is a real orthogonal matrix and
+  * T is a real quasi-triangular matrix. An orthogonal matrix is a matrix whose
+  * inverse is equal to its transpose, \f$ U^{-1} = U^T \f$. A quasi-triangular
+  * matrix is a block-triangular matrix whose diagonal consists of 1-by-1
+  * blocks and 2-by-2 blocks with complex eigenvalues. The eigenvalues of the
+  * blocks on the diagonal of T are the same as the eigenvalues of the matrix
+  * A, and thus the real Schur decomposition is used in EigenSolver to compute
+  * the eigendecomposition of a matrix.
+  *
+  * Call the function compute() to compute the real Schur decomposition of a
+  * given matrix. Alternatively, you can use the RealSchur(const MatrixType&, bool)
+  * constructor which computes the real Schur decomposition at construction
+  * time. Once the decomposition is computed, you can use the matrixU() and
+  * matrixT() functions to retrieve the matrices U and T in the decomposition.
+  *
+  * The documentation of RealSchur(const MatrixType&, bool) contains an example
+  * of the typical use of this class.
+  *
+  * \note The implementation is adapted from
+  * <a href="http://math.nist.gov/javanumerics/jama/">JAMA</a> (public domain).
+  * Their code is based on EISPACK.
+  *
+  * \sa class ComplexSchur, class EigenSolver, class ComplexEigenSolver
+  */
+template<typename _MatrixType> class RealSchur
+{
+  public:
+    typedef _MatrixType MatrixType;
+    enum {
+      RowsAtCompileTime = MatrixType::RowsAtCompileTime,
+      ColsAtCompileTime = MatrixType::ColsAtCompileTime,
+      Options = MatrixType::Options,
+      MaxRowsAtCompileTime = MatrixType::MaxRowsAtCompileTime,
+      MaxColsAtCompileTime = MatrixType::MaxColsAtCompileTime
+    };
+    typedef typename MatrixType::Scalar Scalar;
+    typedef std::complex<typename NumTraits<Scalar>::Real> ComplexScalar;
+    typedef Eigen::Index Index; ///< \deprecated since Eigen 3.3
+
+    typedef Matrix<ComplexScalar, ColsAtCompileTime, 1, Options & ~RowMajor, MaxColsAtCompileTime, 1> EigenvalueType;
+    typedef Matrix<Scalar, ColsAtCompileTime, 1, Options & ~RowMajor, MaxColsAtCompileTime, 1> ColumnVectorType;
+
+    /** \brief Default constructor.
+      *
+      * \param [in] size  Positive integer, size of the matrix whose Schur decomposition will be computed.
+      *
+      * The default constructor is useful in cases in which the user intends to
+      * perform decompositions via compute().  The \p size parameter is only
+      * used as a hint. It is not an error to give a wrong \p size, but it may
+      * impair performance.
+      *
+      * \sa compute() for an example.
+      */
+    explicit RealSchur(Index size = RowsAtCompileTime==Dynamic ? 1 : RowsAtCompileTime)
+            : m_matT(size, size),
+              m_matU(size, size),
+              m_workspaceVector(size),
+              m_hess(size),
+              m_isInitialized(false),
+              m_matUisUptodate(false),
+              m_maxIters(-1)
+    { }
+
+    /** \brief Constructor; computes real Schur decomposition of given matrix. 
+      * 
+      * \param[in]  matrix    Square matrix whose Schur decomposition is to be computed.
+      * \param[in]  computeU  If true, both T and U are computed; if false, only T is computed.
+      *
+      * This constructor calls compute() to compute the Schur decomposition.
+      *
+      * Example: \include RealSchur_RealSchur_MatrixType.cpp
+      * Output: \verbinclude RealSchur_RealSchur_MatrixType.out
+      */
+    template<typename InputType>
+    explicit RealSchur(const EigenBase<InputType>& matrix, bool computeU = true)
+            : m_matT(matrix.rows(),matrix.cols()),
+              m_matU(matrix.rows(),matrix.cols()),
+              m_workspaceVector(matrix.rows()),
+              m_hess(matrix.rows()),
+              m_isInitialized(false),
+              m_matUisUptodate(false),
+              m_maxIters(-1)
+    {
+      compute(matrix.derived(), computeU);
+    }
+
+    /** \brief Returns the orthogonal matrix in the Schur decomposition. 
+      *
+      * \returns A const reference to the matrix U.
+      *
+      * \pre Either the constructor RealSchur(const MatrixType&, bool) or the
+      * member function compute(const MatrixType&, bool) has been called before
+      * to compute the Schur decomposition of a matrix, and \p computeU was set
+      * to true (the default value).
+      *
+      * \sa RealSchur(const MatrixType&, bool) for an example
+      */
+    const MatrixType& matrixU() const
+    {
+      eigen_assert(m_isInitialized && "RealSchur is not initialized.");
+      eigen_assert(m_matUisUptodate && "The matrix U has not been computed during the RealSchur decomposition.");
+      return m_matU;
+    }
+
+    /** \brief Returns the quasi-triangular matrix in the Schur decomposition. 
+      *
+      * \returns A const reference to the matrix T.
+      *
+      * \pre Either the constructor RealSchur(const MatrixType&, bool) or the
+      * member function compute(const MatrixType&, bool) has been called before
+      * to compute the Schur decomposition of a matrix.
+      *
+      * \sa RealSchur(const MatrixType&, bool) for an example
+      */
+    const MatrixType& matrixT() const
+    {
+      eigen_assert(m_isInitialized && "RealSchur is not initialized.");
+      return m_matT;
+    }
+  
+    /** \brief Computes Schur decomposition of given matrix. 
+      * 
+      * \param[in]  matrix    Square matrix whose Schur decomposition is to be computed.
+      * \param[in]  computeU  If true, both T and U are computed; if false, only T is computed.
+      * \returns    Reference to \c *this
+      *
+      * The Schur decomposition is computed by first reducing the matrix to
+      * Hessenberg form using the class HessenbergDecomposition. The Hessenberg
+      * matrix is then reduced to triangular form by performing Francis QR
+      * iterations with implicit double shift. The cost of computing the Schur
+      * decomposition depends on the number of iterations; as a rough guide, it
+      * may be taken to be \f$25n^3\f$ flops if \a computeU is true and
+      * \f$10n^3\f$ flops if \a computeU is false.
+      *
+      * Example: \include RealSchur_compute.cpp
+      * Output: \verbinclude RealSchur_compute.out
+      *
+      * \sa compute(const MatrixType&, bool, Index)
+      */
+    template<typename InputType>
+    RealSchur& compute(const EigenBase<InputType>& matrix, bool computeU = true);
+
+    /** \brief Computes Schur decomposition of a Hessenberg matrix H = Z T Z^T
+     *  \param[in] matrixH Matrix in Hessenberg form H
+     *  \param[in] matrixQ orthogonal matrix Q that transform a matrix A to H : A = Q H Q^T
+     *  \param computeU Computes the matriX U of the Schur vectors
+     * \return Reference to \c *this
+     * 
+     *  This routine assumes that the matrix is already reduced in Hessenberg form matrixH
+     *  using either the class HessenbergDecomposition or another mean. 
+     *  It computes the upper quasi-triangular matrix T of the Schur decomposition of H
+     *  When computeU is true, this routine computes the matrix U such that 
+     *  A = U T U^T =  (QZ) T (QZ)^T = Q H Q^T where A is the initial matrix
+     * 
+     * NOTE Q is referenced if computeU is true; so, if the initial orthogonal matrix
+     * is not available, the user should give an identity matrix (Q.setIdentity())
+     * 
+     * \sa compute(const MatrixType&, bool)
+     */
+    template<typename HessMatrixType, typename OrthMatrixType>
+    RealSchur& computeFromHessenberg(const HessMatrixType& matrixH, const OrthMatrixType& matrixQ,  bool computeU);
+    /** \brief Reports whether previous computation was successful.
+      *
+      * \returns \c Success if computation was succesful, \c NoConvergence otherwise.
+      */
+    ComputationInfo info() const
+    {
+      eigen_assert(m_isInitialized && "RealSchur is not initialized.");
+      return m_info;
+    }
+
+    /** \brief Sets the maximum number of iterations allowed. 
+      *
+      * If not specified by the user, the maximum number of iterations is m_maxIterationsPerRow times the size
+      * of the matrix.
+      */
+    RealSchur& setMaxIterations(Index maxIters)
+    {
+      m_maxIters = maxIters;
+      return *this;
+    }
+
+    /** \brief Returns the maximum number of iterations. */
+    Index getMaxIterations()
+    {
+      return m_maxIters;
+    }
+
+    /** \brief Maximum number of iterations per row.
+      *
+      * If not otherwise specified, the maximum number of iterations is this number times the size of the
+      * matrix. It is currently set to 40.
+      */
+    static const int m_maxIterationsPerRow = 40;
+
+  private:
+    
+    MatrixType m_matT;
+    MatrixType m_matU;
+    ColumnVectorType m_workspaceVector;
+    HessenbergDecomposition<MatrixType> m_hess;
+    ComputationInfo m_info;
+    bool m_isInitialized;
+    bool m_matUisUptodate;
+    Index m_maxIters;
+
+    typedef Matrix<Scalar,3,1> Vector3s;
+
+    Scalar computeNormOfT();
+    Index findSmallSubdiagEntry(Index iu, const Scalar& considerAsZero);
+    void splitOffTwoRows(Index iu, bool computeU, const Scalar& exshift);
+    void computeShift(Index iu, Index iter, Scalar& exshift, Vector3s& shiftInfo);
+    void initFrancisQRStep(Index il, Index iu, const Vector3s& shiftInfo, Index& im, Vector3s& firstHouseholderVector);
+    void performFrancisQRStep(Index il, Index im, Index iu, bool computeU, const Vector3s& firstHouseholderVector, Scalar* workspace);
+};
+
+
+template<typename MatrixType>
+template<typename InputType>
+RealSchur<MatrixType>& RealSchur<MatrixType>::compute(const EigenBase<InputType>& matrix, bool computeU)
+{
+  const Scalar considerAsZero = (std::numeric_limits<Scalar>::min)();
+
+  eigen_assert(matrix.cols() == matrix.rows());
+  Index maxIters = m_maxIters;
+  if (maxIters == -1)
+    maxIters = m_maxIterationsPerRow * matrix.rows();
+
+  Scalar scale = matrix.derived().cwiseAbs().maxCoeff();
+  if(scale<considerAsZero)
+  {
+    m_matT.setZero(matrix.rows(),matrix.cols());
+    if(computeU)
+      m_matU.setIdentity(matrix.rows(),matrix.cols());
+    m_info = Success;
+    m_isInitialized = true;
+    m_matUisUptodate = computeU;
+    return *this;
+  }
+
+  // Step 1. Reduce to Hessenberg form
+  m_hess.compute(matrix.derived()/scale);
+
+  // Step 2. Reduce to real Schur form  
+  computeFromHessenberg(m_hess.matrixH(), m_hess.matrixQ(), computeU);
+
+  m_matT *= scale;
+  
+  return *this;
+}
+template<typename MatrixType>
+template<typename HessMatrixType, typename OrthMatrixType>
+RealSchur<MatrixType>& RealSchur<MatrixType>::computeFromHessenberg(const HessMatrixType& matrixH, const OrthMatrixType& matrixQ,  bool computeU)
+{
+  using std::abs;
+
+  m_matT = matrixH;
+  if(computeU)
+    m_matU = matrixQ;
+  
+  Index maxIters = m_maxIters;
+  if (maxIters == -1)
+    maxIters = m_maxIterationsPerRow * matrixH.rows();
+  m_workspaceVector.resize(m_matT.cols());
+  Scalar* workspace = &m_workspaceVector.coeffRef(0);
+
+  // The matrix m_matT is divided in three parts. 
+  // Rows 0,...,il-1 are decoupled from the rest because m_matT(il,il-1) is zero. 
+  // Rows il,...,iu is the part we are working on (the active window).
+  // Rows iu+1,...,end are already brought in triangular form.
+  Index iu = m_matT.cols() - 1;
+  Index iter = 0;      // iteration count for current eigenvalue
+  Index totalIter = 0; // iteration count for whole matrix
+  Scalar exshift(0);   // sum of exceptional shifts
+  Scalar norm = computeNormOfT();
+  // sub-diagonal entries smaller than considerAsZero will be treated as zero.
+  // We use eps^2 to enable more precision in small eigenvalues.
+  Scalar considerAsZero = numext::maxi<Scalar>( norm * numext::abs2(NumTraits<Scalar>::epsilon()),
+                                                (std::numeric_limits<Scalar>::min)() );
+
+  if(norm!=Scalar(0))
+  {
+    while (iu >= 0)
+    {
+      Index il = findSmallSubdiagEntry(iu,considerAsZero);
+
+      // Check for convergence
+      if (il == iu) // One root found
+      {
+        m_matT.coeffRef(iu,iu) = m_matT.coeff(iu,iu) + exshift;
+        if (iu > 0)
+          m_matT.coeffRef(iu, iu-1) = Scalar(0);
+        iu--;
+        iter = 0;
+      }
+      else if (il == iu-1) // Two roots found
+      {
+        splitOffTwoRows(iu, computeU, exshift);
+        iu -= 2;
+        iter = 0;
+      }
+      else // No convergence yet
+      {
+        // The firstHouseholderVector vector has to be initialized to something to get rid of a silly GCC warning (-O1 -Wall -DNDEBUG )
+        Vector3s firstHouseholderVector = Vector3s::Zero(), shiftInfo;
+        computeShift(iu, iter, exshift, shiftInfo);
+        iter = iter + 1;
+        totalIter = totalIter + 1;
+        if (totalIter > maxIters) break;
+        Index im;
+        initFrancisQRStep(il, iu, shiftInfo, im, firstHouseholderVector);
+        performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace);
+      }
+    }
+  }
+  if(totalIter <= maxIters)
+    m_info = Success;
+  else
+    m_info = NoConvergence;
+
+  m_isInitialized = true;
+  m_matUisUptodate = computeU;
+  return *this;
+}
+
+/** \internal Computes and returns vector L1 norm of T */
+template<typename MatrixType>
+inline typename MatrixType::Scalar RealSchur<MatrixType>::computeNormOfT()
+{
+  const Index size = m_matT.cols();
+  // FIXME to be efficient the following would requires a triangular reduxion code
+  // Scalar norm = m_matT.upper().cwiseAbs().sum() 
+  //               + m_matT.bottomLeftCorner(size-1,size-1).diagonal().cwiseAbs().sum();
+  Scalar norm(0);
+  for (Index j = 0; j < size; ++j)
+    norm += m_matT.col(j).segment(0, (std::min)(size,j+2)).cwiseAbs().sum();
+  return norm;
+}
+
+/** \internal Look for single small sub-diagonal element and returns its index */
+template<typename MatrixType>
+inline Index RealSchur<MatrixType>::findSmallSubdiagEntry(Index iu, const Scalar& considerAsZero)
+{
+  using std::abs;
+  Index res = iu;
+  while (res > 0)
+  {
+    Scalar s = abs(m_matT.coeff(res-1,res-1)) + abs(m_matT.coeff(res,res));
+
+    s = numext::maxi<Scalar>(s * NumTraits<Scalar>::epsilon(), considerAsZero);
+    
+    if (abs(m_matT.coeff(res,res-1)) <= s)
+      break;
+    res--;
+  }
+  return res;
+}
+
+/** \internal Update T given that rows iu-1 and iu decouple from the rest. */
+template<typename MatrixType>
+inline void RealSchur<MatrixType>::splitOffTwoRows(Index iu, bool computeU, const Scalar& exshift)
+{
+  using std::sqrt;
+  using std::abs;
+  const Index size = m_matT.cols();
+
+  // The eigenvalues of the 2x2 matrix [a b; c d] are 
+  // trace +/- sqrt(discr/4) where discr = tr^2 - 4*det, tr = a + d, det = ad - bc
+  Scalar p = Scalar(0.5) * (m_matT.coeff(iu-1,iu-1) - m_matT.coeff(iu,iu));
+  Scalar q = p * p + m_matT.coeff(iu,iu-1) * m_matT.coeff(iu-1,iu);   // q = tr^2 / 4 - det = discr/4
+  m_matT.coeffRef(iu,iu) += exshift;
+  m_matT.coeffRef(iu-1,iu-1) += exshift;
+
+  if (q >= Scalar(0)) // Two real eigenvalues
+  {
+    Scalar z = sqrt(abs(q));
+    JacobiRotation<Scalar> rot;
+    if (p >= Scalar(0))
+      rot.makeGivens(p + z, m_matT.coeff(iu, iu-1));
+    else
+      rot.makeGivens(p - z, m_matT.coeff(iu, iu-1));
+
+    m_matT.rightCols(size-iu+1).applyOnTheLeft(iu-1, iu, rot.adjoint());
+    m_matT.topRows(iu+1).applyOnTheRight(iu-1, iu, rot);
+    m_matT.coeffRef(iu, iu-1) = Scalar(0); 
+    if (computeU)
+      m_matU.applyOnTheRight(iu-1, iu, rot);
+  }
+
+  if (iu > 1) 
+    m_matT.coeffRef(iu-1, iu-2) = Scalar(0);
+}
+
+/** \internal Form shift in shiftInfo, and update exshift if an exceptional shift is performed. */
+template<typename MatrixType>
+inline void RealSchur<MatrixType>::computeShift(Index iu, Index iter, Scalar& exshift, Vector3s& shiftInfo)
+{
+  using std::sqrt;
+  using std::abs;
+  shiftInfo.coeffRef(0) = m_matT.coeff(iu,iu);
+  shiftInfo.coeffRef(1) = m_matT.coeff(iu-1,iu-1);
+  shiftInfo.coeffRef(2) = m_matT.coeff(iu,iu-1) * m_matT.coeff(iu-1,iu);
+
+  // Wilkinson's original ad hoc shift
+  if (iter == 10)
+  {
+    exshift += shiftInfo.coeff(0);
+    for (Index i = 0; i <= iu; ++i)
+      m_matT.coeffRef(i,i) -= shiftInfo.coeff(0);
+    Scalar s = abs(m_matT.coeff(iu,iu-1)) + abs(m_matT.coeff(iu-1,iu-2));
+    shiftInfo.coeffRef(0) = Scalar(0.75) * s;
+    shiftInfo.coeffRef(1) = Scalar(0.75) * s;
+    shiftInfo.coeffRef(2) = Scalar(-0.4375) * s * s;
+  }
+
+  // MATLAB's new ad hoc shift
+  if (iter == 30)
+  {
+    Scalar s = (shiftInfo.coeff(1) - shiftInfo.coeff(0)) / Scalar(2.0);
+    s = s * s + shiftInfo.coeff(2);
+    if (s > Scalar(0))
+    {
+      s = sqrt(s);
+      if (shiftInfo.coeff(1) < shiftInfo.coeff(0))
+        s = -s;
+      s = s + (shiftInfo.coeff(1) - shiftInfo.coeff(0)) / Scalar(2.0);
+      s = shiftInfo.coeff(0) - shiftInfo.coeff(2) / s;
+      exshift += s;
+      for (Index i = 0; i <= iu; ++i)
+        m_matT.coeffRef(i,i) -= s;
+      shiftInfo.setConstant(Scalar(0.964));
+    }
+  }
+}
+
+/** \internal Compute index im at which Francis QR step starts and the first Householder vector. */
+template<typename MatrixType>
+inline void RealSchur<MatrixType>::initFrancisQRStep(Index il, Index iu, const Vector3s& shiftInfo, Index& im, Vector3s& firstHouseholderVector)
+{
+  using std::abs;
+  Vector3s& v = firstHouseholderVector; // alias to save typing
+
+  for (im = iu-2; im >= il; --im)
+  {
+    const Scalar Tmm = m_matT.coeff(im,im);
+    const Scalar r = shiftInfo.coeff(0) - Tmm;
+    const Scalar s = shiftInfo.coeff(1) - Tmm;
+    v.coeffRef(0) = (r * s - shiftInfo.coeff(2)) / m_matT.coeff(im+1,im) + m_matT.coeff(im,im+1);
+    v.coeffRef(1) = m_matT.coeff(im+1,im+1) - Tmm - r - s;
+    v.coeffRef(2) = m_matT.coeff(im+2,im+1);
+    if (im == il) {
+      break;
+    }
+    const Scalar lhs = m_matT.coeff(im,im-1) * (abs(v.coeff(1)) + abs(v.coeff(2)));
+    const Scalar rhs = v.coeff(0) * (abs(m_matT.coeff(im-1,im-1)) + abs(Tmm) + abs(m_matT.coeff(im+1,im+1)));
+    if (abs(lhs) < NumTraits<Scalar>::epsilon() * rhs)
+      break;
+  }
+}
+
+/** \internal Perform a Francis QR step involving rows il:iu and columns im:iu. */
+template<typename MatrixType>
+inline void RealSchur<MatrixType>::performFrancisQRStep(Index il, Index im, Index iu, bool computeU, const Vector3s& firstHouseholderVector, Scalar* workspace)
+{
+  eigen_assert(im >= il);
+  eigen_assert(im <= iu-2);
+
+  const Index size = m_matT.cols();
+
+  for (Index k = im; k <= iu-2; ++k)
+  {
+    bool firstIteration = (k == im);
+
+    Vector3s v;
+    if (firstIteration)
+      v = firstHouseholderVector;
+    else
+      v = m_matT.template block<3,1>(k,k-1);
+
+    Scalar tau, beta;
+    Matrix<Scalar, 2, 1> ess;
+    v.makeHouseholder(ess, tau, beta);
+    
+    if (beta != Scalar(0)) // if v is not zero
+    {
+      if (firstIteration && k > il)
+        m_matT.coeffRef(k,k-1) = -m_matT.coeff(k,k-1);
+      else if (!firstIteration)
+        m_matT.coeffRef(k,k-1) = beta;
+
+      // These Householder transformations form the O(n^3) part of the algorithm
+      m_matT.block(k, k, 3, size-k).applyHouseholderOnTheLeft(ess, tau, workspace);
+      m_matT.block(0, k, (std::min)(iu,k+3) + 1, 3).applyHouseholderOnTheRight(ess, tau, workspace);
+      if (computeU)
+        m_matU.block(0, k, size, 3).applyHouseholderOnTheRight(ess, tau, workspace);
+    }
+  }
+
+  Matrix<Scalar, 2, 1> v = m_matT.template block<2,1>(iu-1, iu-2);
+  Scalar tau, beta;
+  Matrix<Scalar, 1, 1> ess;
+  v.makeHouseholder(ess, tau, beta);
+
+  if (beta != Scalar(0)) // if v is not zero
+  {
+    m_matT.coeffRef(iu-1, iu-2) = beta;
+    m_matT.block(iu-1, iu-1, 2, size-iu+1).applyHouseholderOnTheLeft(ess, tau, workspace);
+    m_matT.block(0, iu-1, iu+1, 2).applyHouseholderOnTheRight(ess, tau, workspace);
+    if (computeU)
+      m_matU.block(0, iu-1, size, 2).applyHouseholderOnTheRight(ess, tau, workspace);
+  }
+
+  // clean up pollution due to round-off errors
+  for (Index i = im+2; i <= iu; ++i)
+  {
+    m_matT.coeffRef(i,i-2) = Scalar(0);
+    if (i > im+2)
+      m_matT.coeffRef(i,i-3) = Scalar(0);
+  }
+}
+
+} // end namespace Eigen
+
+#endif // EIGEN_REAL_SCHUR_H
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur_LAPACKE.h
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur_LAPACKE.h	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur_LAPACKE.h	(revision 3761)
@@ -0,0 +1,77 @@
+/*
+ Copyright (c) 2011, Intel Corporation. All rights reserved.
+
+ Redistribution and use in source and binary forms, with or without modification,
+ are permitted provided that the following conditions are met:
+
+ * Redistributions of source code must retain the above copyright notice, this
+   list of conditions and the following disclaimer.
+ * Redistributions in binary form must reproduce the above copyright notice,
+   this list of conditions and the following disclaimer in the documentation
+   and/or other materials provided with the distribution.
+ * Neither the name of Intel Corporation nor the names of its contributors may
+   be used to endorse or promote products derived from this software without
+   specific prior written permission.
+
+ THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND
+ ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED
+ WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
+ DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE LIABLE FOR
+ ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES
+ (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES;
+ LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON
+ ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
+ (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS
+ SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
+
+ ********************************************************************************
+ *   Content : Eigen bindings to LAPACKe
+ *    Real Schur needed to real unsymmetrical eigenvalues/eigenvectors.
+ ********************************************************************************
+*/
+
+#ifndef EIGEN_REAL_SCHUR_LAPACKE_H
+#define EIGEN_REAL_SCHUR_LAPACKE_H
+
+namespace Eigen { 
+
+/** \internal Specialization for the data types supported by LAPACKe */
+
+#define EIGEN_LAPACKE_SCHUR_REAL(EIGTYPE, LAPACKE_TYPE, LAPACKE_PREFIX, LAPACKE_PREFIX_U, EIGCOLROW, LAPACKE_COLROW) \
+template<> template<typename InputType> inline \
+RealSchur<Matrix<EIGTYPE, Dynamic, Dynamic, EIGCOLROW> >& \
+RealSchur<Matrix<EIGTYPE, Dynamic, Dynamic, EIGCOLROW> >::compute(const EigenBase<InputType>& matrix, bool computeU) \
+{ \
+  eigen_assert(matrix.cols() == matrix.rows()); \
+\
+  lapack_int n = internal::convert_index<lapack_int>(matrix.cols()), sdim, info; \
+  lapack_int matrix_order = LAPACKE_COLROW; \
+  char jobvs, sort='N'; \
+  LAPACK_##LAPACKE_PREFIX_U##_SELECT2 select = 0; \
+  jobvs = (computeU) ? 'V' : 'N'; \
+  m_matU.resize(n, n); \
+  lapack_int ldvs  = internal::convert_index<lapack_int>(m_matU.outerStride()); \
+  m_matT = matrix; \
+  lapack_int lda = internal::convert_index<lapack_int>(m_matT.outerStride()); \
+  Matrix<EIGTYPE, Dynamic, Dynamic> wr, wi; \
+  wr.resize(n, 1); wi.resize(n, 1); \
+  info = LAPACKE_##LAPACKE_PREFIX##gees( matrix_order, jobvs, sort, select, n, (LAPACKE_TYPE*)m_matT.data(), lda, &sdim, (LAPACKE_TYPE*)wr.data(), (LAPACKE_TYPE*)wi.data(), (LAPACKE_TYPE*)m_matU.data(), ldvs ); \
+  if(info == 0) \
+    m_info = Success; \
+  else \
+    m_info = NoConvergence; \
+\
+  m_isInitialized = true; \
+  m_matUisUptodate = computeU; \
+  return *this; \
+\
+}
+
+EIGEN_LAPACKE_SCHUR_REAL(double,   double, d, D, ColMajor, LAPACK_COL_MAJOR)
+EIGEN_LAPACKE_SCHUR_REAL(float,    float,  s, S, ColMajor, LAPACK_COL_MAJOR)
+EIGEN_LAPACKE_SCHUR_REAL(double,   double, d, D, RowMajor, LAPACK_ROW_MAJOR)
+EIGEN_LAPACKE_SCHUR_REAL(float,    float,  s, S, RowMajor, LAPACK_ROW_MAJOR)
+
+} // end namespace Eigen
+
+#endif // EIGEN_REAL_SCHUR_LAPACKE_H
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Eigenvalues/ComplexEigenSolver.h
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Eigenvalues/ComplexEigenSolver.h	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Eigenvalues/ComplexEigenSolver.h	(revision 3761)
@@ -0,0 +1,346 @@
+// This file is part of Eigen, a lightweight C++ template library
+// for linear algebra.
+//
+// Copyright (C) 2009 Claire Maurice
+// Copyright (C) 2009 Gael Guennebaud <gael.guennebaud@inria.fr>
+// Copyright (C) 2010,2012 Jitse Niesen <jitse@maths.leeds.ac.uk>
+//
+// This Source Code Form is subject to the terms of the Mozilla
+// Public License v. 2.0. If a copy of the MPL was not distributed
+// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
+
+#ifndef EIGEN_COMPLEX_EIGEN_SOLVER_H
+#define EIGEN_COMPLEX_EIGEN_SOLVER_H
+
+#include "./ComplexSchur.h"
+
+namespace Eigen { 
+
+/** \eigenvalues_module \ingroup Eigenvalues_Module
+  *
+  *
+  * \class ComplexEigenSolver
+  *
+  * \brief Computes eigenvalues and eigenvectors of general complex matrices
+  *
+  * \tparam _MatrixType the type of the matrix of which we are
+  * computing the eigendecomposition; this is expected to be an
+  * instantiation of the Matrix class template.
+  *
+  * The eigenvalues and eigenvectors of a matrix \f$ A \f$ are scalars
+  * \f$ \lambda \f$ and vectors \f$ v \f$ such that \f$ Av = \lambda v
+  * \f$.  If \f$ D \f$ is a diagonal matrix with the eigenvalues on
+  * the diagonal, and \f$ V \f$ is a matrix with the eigenvectors as
+  * its columns, then \f$ A V = V D \f$. The matrix \f$ V \f$ is
+  * almost always invertible, in which case we have \f$ A = V D V^{-1}
+  * \f$. This is called the eigendecomposition.
+  *
+  * The main function in this class is compute(), which computes the
+  * eigenvalues and eigenvectors of a given function. The
+  * documentation for that function contains an example showing the
+  * main features of the class.
+  *
+  * \sa class EigenSolver, class SelfAdjointEigenSolver
+  */
+template<typename _MatrixType> class ComplexEigenSolver
+{
+  public:
+
+    /** \brief Synonym for the template parameter \p _MatrixType. */
+    typedef _MatrixType MatrixType;
+
+    enum {
+      RowsAtCompileTime = MatrixType::RowsAtCompileTime,
+      ColsAtCompileTime = MatrixType::ColsAtCompileTime,
+      Options = MatrixType::Options,
+      MaxRowsAtCompileTime = MatrixType::MaxRowsAtCompileTime,
+      MaxColsAtCompileTime = MatrixType::MaxColsAtCompileTime
+    };
+
+    /** \brief Scalar type for matrices of type #MatrixType. */
+    typedef typename MatrixType::Scalar Scalar;
+    typedef typename NumTraits<Scalar>::Real RealScalar;
+    typedef Eigen::Index Index; ///< \deprecated since Eigen 3.3
+
+    /** \brief Complex scalar type for #MatrixType.
+      *
+      * This is \c std::complex<Scalar> if #Scalar is real (e.g.,
+      * \c float or \c double) and just \c Scalar if #Scalar is
+      * complex.
+      */
+    typedef std::complex<RealScalar> ComplexScalar;
+
+    /** \brief Type for vector of eigenvalues as returned by eigenvalues().
+      *
+      * This is a column vector with entries of type #ComplexScalar.
+      * The length of the vector is the size of #MatrixType.
+      */
+    typedef Matrix<ComplexScalar, ColsAtCompileTime, 1, Options&(~RowMajor), MaxColsAtCompileTime, 1> EigenvalueType;
+
+    /** \brief Type for matrix of eigenvectors as returned by eigenvectors().
+      *
+      * This is a square matrix with entries of type #ComplexScalar.
+      * The size is the same as the size of #MatrixType.
+      */
+    typedef Matrix<ComplexScalar, RowsAtCompileTime, ColsAtCompileTime, Options, MaxRowsAtCompileTime, MaxColsAtCompileTime> EigenvectorType;
+
+    /** \brief Default constructor.
+      *
+      * The default constructor is useful in cases in which the user intends to
+      * perform decompositions via compute().
+      */
+    ComplexEigenSolver()
+            : m_eivec(),
+              m_eivalues(),
+              m_schur(),
+              m_isInitialized(false),
+              m_eigenvectorsOk(false),
+              m_matX()
+    {}
+
+    /** \brief Default Constructor with memory preallocation
+      *
+      * Like the default constructor but with preallocation of the internal data
+      * according to the specified problem \a size.
+      * \sa ComplexEigenSolver()
+      */
+    explicit ComplexEigenSolver(Index size)
+            : m_eivec(size, size),
+              m_eivalues(size),
+              m_schur(size),
+              m_isInitialized(false),
+              m_eigenvectorsOk(false),
+              m_matX(size, size)
+    {}
+
+    /** \brief Constructor; computes eigendecomposition of given matrix.
+      *
+      * \param[in]  matrix  Square matrix whose eigendecomposition is to be computed.
+      * \param[in]  computeEigenvectors  If true, both the eigenvectors and the
+      *    eigenvalues are computed; if false, only the eigenvalues are
+      *    computed.
+      *
+      * This constructor calls compute() to compute the eigendecomposition.
+      */
+    template<typename InputType>
+    explicit ComplexEigenSolver(const EigenBase<InputType>& matrix, bool computeEigenvectors = true)
+            : m_eivec(matrix.rows(),matrix.cols()),
+              m_eivalues(matrix.cols()),
+              m_schur(matrix.rows()),
+              m_isInitialized(false),
+              m_eigenvectorsOk(false),
+              m_matX(matrix.rows(),matrix.cols())
+    {
+      compute(matrix.derived(), computeEigenvectors);
+    }
+
+    /** \brief Returns the eigenvectors of given matrix.
+      *
+      * \returns  A const reference to the matrix whose columns are the eigenvectors.
+      *
+      * \pre Either the constructor
+      * ComplexEigenSolver(const MatrixType& matrix, bool) or the member
+      * function compute(const MatrixType& matrix, bool) has been called before
+      * to compute the eigendecomposition of a matrix, and
+      * \p computeEigenvectors was set to true (the default).
+      *
+      * This function returns a matrix whose columns are the eigenvectors. Column
+      * \f$ k \f$ is an eigenvector corresponding to eigenvalue number \f$ k
+      * \f$ as returned by eigenvalues().  The eigenvectors are normalized to
+      * have (Euclidean) norm equal to one. The matrix returned by this
+      * function is the matrix \f$ V \f$ in the eigendecomposition \f$ A = V D
+      * V^{-1} \f$, if it exists.
+      *
+      * Example: \include ComplexEigenSolver_eigenvectors.cpp
+      * Output: \verbinclude ComplexEigenSolver_eigenvectors.out
+      */
+    const EigenvectorType& eigenvectors() const
+    {
+      eigen_assert(m_isInitialized && "ComplexEigenSolver is not initialized.");
+      eigen_assert(m_eigenvectorsOk && "The eigenvectors have not been computed together with the eigenvalues.");
+      return m_eivec;
+    }
+
+    /** \brief Returns the eigenvalues of given matrix.
+      *
+      * \returns A const reference to the column vector containing the eigenvalues.
+      *
+      * \pre Either the constructor
+      * ComplexEigenSolver(const MatrixType& matrix, bool) or the member
+      * function compute(const MatrixType& matrix, bool) has been called before
+      * to compute the eigendecomposition of a matrix.
+      *
+      * This function returns a column vector containing the
+      * eigenvalues. Eigenvalues are repeated according to their
+      * algebraic multiplicity, so there are as many eigenvalues as
+      * rows in the matrix. The eigenvalues are not sorted in any particular
+      * order.
+      *
+      * Example: \include ComplexEigenSolver_eigenvalues.cpp
+      * Output: \verbinclude ComplexEigenSolver_eigenvalues.out
+      */
+    const EigenvalueType& eigenvalues() const
+    {
+      eigen_assert(m_isInitialized && "ComplexEigenSolver is not initialized.");
+      return m_eivalues;
+    }
+
+    /** \brief Computes eigendecomposition of given matrix.
+      *
+      * \param[in]  matrix  Square matrix whose eigendecomposition is to be computed.
+      * \param[in]  computeEigenvectors  If true, both the eigenvectors and the
+      *    eigenvalues are computed; if false, only the eigenvalues are
+      *    computed.
+      * \returns    Reference to \c *this
+      *
+      * This function computes the eigenvalues of the complex matrix \p matrix.
+      * The eigenvalues() function can be used to retrieve them.  If
+      * \p computeEigenvectors is true, then the eigenvectors are also computed
+      * and can be retrieved by calling eigenvectors().
+      *
+      * The matrix is first reduced to Schur form using the
+      * ComplexSchur class. The Schur decomposition is then used to
+      * compute the eigenvalues and eigenvectors.
+      *
+      * The cost of the computation is dominated by the cost of the
+      * Schur decomposition, which is \f$ O(n^3) \f$ where \f$ n \f$
+      * is the size of the matrix.
+      *
+      * Example: \include ComplexEigenSolver_compute.cpp
+      * Output: \verbinclude ComplexEigenSolver_compute.out
+      */
+    template<typename InputType>
+    ComplexEigenSolver& compute(const EigenBase<InputType>& matrix, bool computeEigenvectors = true);
+
+    /** \brief Reports whether previous computation was successful.
+      *
+      * \returns \c Success if computation was succesful, \c NoConvergence otherwise.
+      */
+    ComputationInfo info() const
+    {
+      eigen_assert(m_isInitialized && "ComplexEigenSolver is not initialized.");
+      return m_schur.info();
+    }
+
+    /** \brief Sets the maximum number of iterations allowed. */
+    ComplexEigenSolver& setMaxIterations(Index maxIters)
+    {
+      m_schur.setMaxIterations(maxIters);
+      return *this;
+    }
+
+    /** \brief Returns the maximum number of iterations. */
+    Index getMaxIterations()
+    {
+      return m_schur.getMaxIterations();
+    }
+
+  protected:
+    
+    static void check_template_parameters()
+    {
+      EIGEN_STATIC_ASSERT_NON_INTEGER(Scalar);
+    }
+    
+    EigenvectorType m_eivec;
+    EigenvalueType m_eivalues;
+    ComplexSchur<MatrixType> m_schur;
+    bool m_isInitialized;
+    bool m_eigenvectorsOk;
+    EigenvectorType m_matX;
+
+  private:
+    void doComputeEigenvectors(RealScalar matrixnorm);
+    void sortEigenvalues(bool computeEigenvectors);
+};
+
+
+template<typename MatrixType>
+template<typename InputType>
+ComplexEigenSolver<MatrixType>& 
+ComplexEigenSolver<MatrixType>::compute(const EigenBase<InputType>& matrix, bool computeEigenvectors)
+{
+  check_template_parameters();
+  
+  // this code is inspired from Jampack
+  eigen_assert(matrix.cols() == matrix.rows());
+
+  // Do a complex Schur decomposition, A = U T U^*
+  // The eigenvalues are on the diagonal of T.
+  m_schur.compute(matrix.derived(), computeEigenvectors);
+
+  if(m_schur.info() == Success)
+  {
+    m_eivalues = m_schur.matrixT().diagonal();
+    if(computeEigenvectors)
+      doComputeEigenvectors(m_schur.matrixT().norm());
+    sortEigenvalues(computeEigenvectors);
+  }
+
+  m_isInitialized = true;
+  m_eigenvectorsOk = computeEigenvectors;
+  return *this;
+}
+
+
+template<typename MatrixType>
+void ComplexEigenSolver<MatrixType>::doComputeEigenvectors(RealScalar matrixnorm)
+{
+  const Index n = m_eivalues.size();
+
+  matrixnorm = numext::maxi(matrixnorm,(std::numeric_limits<RealScalar>::min)());
+
+  // Compute X such that T = X D X^(-1), where D is the diagonal of T.
+  // The matrix X is unit triangular.
+  m_matX = EigenvectorType::Zero(n, n);
+  for(Index k=n-1 ; k>=0 ; k--)
+  {
+    m_matX.coeffRef(k,k) = ComplexScalar(1.0,0.0);
+    // Compute X(i,k) using the (i,k) entry of the equation X T = D X
+    for(Index i=k-1 ; i>=0 ; i--)
+    {
+      m_matX.coeffRef(i,k) = -m_schur.matrixT().coeff(i,k);
+      if(k-i-1>0)
+        m_matX.coeffRef(i,k) -= (m_schur.matrixT().row(i).segment(i+1,k-i-1) * m_matX.col(k).segment(i+1,k-i-1)).value();
+      ComplexScalar z = m_schur.matrixT().coeff(i,i) - m_schur.matrixT().coeff(k,k);
+      if(z==ComplexScalar(0))
+      {
+        // If the i-th and k-th eigenvalue are equal, then z equals 0.
+        // Use a small value instead, to prevent division by zero.
+        numext::real_ref(z) = NumTraits<RealScalar>::epsilon() * matrixnorm;
+      }
+      m_matX.coeffRef(i,k) = m_matX.coeff(i,k) / z;
+    }
+  }
+
+  // Compute V as V = U X; now A = U T U^* = U X D X^(-1) U^* = V D V^(-1)
+  m_eivec.noalias() = m_schur.matrixU() * m_matX;
+  // .. and normalize the eigenvectors
+  for(Index k=0 ; k<n ; k++)
+  {
+    m_eivec.col(k).normalize();
+  }
+}
+
+
+template<typename MatrixType>
+void ComplexEigenSolver<MatrixType>::sortEigenvalues(bool computeEigenvectors)
+{
+  const Index n =  m_eivalues.size();
+  for (Index i=0; i<n; i++)
+  {
+    Index k;
+    m_eivalues.cwiseAbs().tail(n-i).minCoeff(&k);
+    if (k != 0)
+    {
+      k += i;
+      std::swap(m_eivalues[k],m_eivalues[i]);
+      if(computeEigenvectors)
+	m_eivec.col(i).swap(m_eivec.col(k));
+    }
+  }
+}
+
+} // end namespace Eigen
+
+#endif // EIGEN_COMPLEX_EIGEN_SOLVER_H
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h	(revision 3761)
@@ -0,0 +1,556 @@
+// This file is part of Eigen, a lightweight C++ template library
+// for linear algebra.
+//
+// Copyright (C) 2008 Gael Guennebaud <gael.guennebaud@inria.fr>
+// Copyright (C) 2010 Jitse Niesen <jitse@maths.leeds.ac.uk>
+//
+// This Source Code Form is subject to the terms of the Mozilla
+// Public License v. 2.0. If a copy of the MPL was not distributed
+// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
+
+#ifndef EIGEN_TRIDIAGONALIZATION_H
+#define EIGEN_TRIDIAGONALIZATION_H
+
+namespace Eigen { 
+
+namespace internal {
+  
+template<typename MatrixType> struct TridiagonalizationMatrixTReturnType;
+template<typename MatrixType>
+struct traits<TridiagonalizationMatrixTReturnType<MatrixType> >
+  : public traits<typename MatrixType::PlainObject>
+{
+  typedef typename MatrixType::PlainObject ReturnType; // FIXME shall it be a BandMatrix?
+  enum { Flags = 0 };
+};
+
+template<typename MatrixType, typename CoeffVectorType>
+void tridiagonalization_inplace(MatrixType& matA, CoeffVectorType& hCoeffs);
+}
+
+/** \eigenvalues_module \ingroup Eigenvalues_Module
+  *
+  *
+  * \class Tridiagonalization
+  *
+  * \brief Tridiagonal decomposition of a selfadjoint matrix
+  *
+  * \tparam _MatrixType the type of the matrix of which we are computing the
+  * tridiagonal decomposition; this is expected to be an instantiation of the
+  * Matrix class template.
+  *
+  * This class performs a tridiagonal decomposition of a selfadjoint matrix \f$ A \f$ such that:
+  * \f$ A = Q T Q^* \f$ where \f$ Q \f$ is unitary and \f$ T \f$ a real symmetric tridiagonal matrix.
+  *
+  * A tridiagonal matrix is a matrix which has nonzero elements only on the
+  * main diagonal and the first diagonal below and above it. The Hessenberg
+  * decomposition of a selfadjoint matrix is in fact a tridiagonal
+  * decomposition. This class is used in SelfAdjointEigenSolver to compute the
+  * eigenvalues and eigenvectors of a selfadjoint matrix.
+  *
+  * Call the function compute() to compute the tridiagonal decomposition of a
+  * given matrix. Alternatively, you can use the Tridiagonalization(const MatrixType&)
+  * constructor which computes the tridiagonal Schur decomposition at
+  * construction time. Once the decomposition is computed, you can use the
+  * matrixQ() and matrixT() functions to retrieve the matrices Q and T in the
+  * decomposition.
+  *
+  * The documentation of Tridiagonalization(const MatrixType&) contains an
+  * example of the typical use of this class.
+  *
+  * \sa class HessenbergDecomposition, class SelfAdjointEigenSolver
+  */
+template<typename _MatrixType> class Tridiagonalization
+{
+  public:
+
+    /** \brief Synonym for the template parameter \p _MatrixType. */
+    typedef _MatrixType MatrixType;
+
+    typedef typename MatrixType::Scalar Scalar;
+    typedef typename NumTraits<Scalar>::Real RealScalar;
+    typedef Eigen::Index Index; ///< \deprecated since Eigen 3.3
+
+    enum {
+      Size = MatrixType::RowsAtCompileTime,
+      SizeMinusOne = Size == Dynamic ? Dynamic : (Size > 1 ? Size - 1 : 1),
+      Options = MatrixType::Options,
+      MaxSize = MatrixType::MaxRowsAtCompileTime,
+      MaxSizeMinusOne = MaxSize == Dynamic ? Dynamic : (MaxSize > 1 ? MaxSize - 1 : 1)
+    };
+
+    typedef Matrix<Scalar, SizeMinusOne, 1, Options & ~RowMajor, MaxSizeMinusOne, 1> CoeffVectorType;
+    typedef typename internal::plain_col_type<MatrixType, RealScalar>::type DiagonalType;
+    typedef Matrix<RealScalar, SizeMinusOne, 1, Options & ~RowMajor, MaxSizeMinusOne, 1> SubDiagonalType;
+    typedef typename internal::remove_all<typename MatrixType::RealReturnType>::type MatrixTypeRealView;
+    typedef internal::TridiagonalizationMatrixTReturnType<MatrixTypeRealView> MatrixTReturnType;
+
+    typedef typename internal::conditional<NumTraits<Scalar>::IsComplex,
+              typename internal::add_const_on_value_type<typename Diagonal<const MatrixType>::RealReturnType>::type,
+              const Diagonal<const MatrixType>
+            >::type DiagonalReturnType;
+
+    typedef typename internal::conditional<NumTraits<Scalar>::IsComplex,
+              typename internal::add_const_on_value_type<typename Diagonal<const MatrixType, -1>::RealReturnType>::type,
+              const Diagonal<const MatrixType, -1>
+            >::type SubDiagonalReturnType;
+
+    /** \brief Return type of matrixQ() */
+    typedef HouseholderSequence<MatrixType,typename internal::remove_all<typename CoeffVectorType::ConjugateReturnType>::type> HouseholderSequenceType;
+
+    /** \brief Default constructor.
+      *
+      * \param [in]  size  Positive integer, size of the matrix whose tridiagonal
+      * decomposition will be computed.
+      *
+      * The default constructor is useful in cases in which the user intends to
+      * perform decompositions via compute().  The \p size parameter is only
+      * used as a hint. It is not an error to give a wrong \p size, but it may
+      * impair performance.
+      *
+      * \sa compute() for an example.
+      */
+    explicit Tridiagonalization(Index size = Size==Dynamic ? 2 : Size)
+      : m_matrix(size,size),
+        m_hCoeffs(size > 1 ? size-1 : 1),
+        m_isInitialized(false)
+    {}
+
+    /** \brief Constructor; computes tridiagonal decomposition of given matrix.
+      *
+      * \param[in]  matrix  Selfadjoint matrix whose tridiagonal decomposition
+      * is to be computed.
+      *
+      * This constructor calls compute() to compute the tridiagonal decomposition.
+      *
+      * Example: \include Tridiagonalization_Tridiagonalization_MatrixType.cpp
+      * Output: \verbinclude Tridiagonalization_Tridiagonalization_MatrixType.out
+      */
+    template<typename InputType>
+    explicit Tridiagonalization(const EigenBase<InputType>& matrix)
+      : m_matrix(matrix.derived()),
+        m_hCoeffs(matrix.cols() > 1 ? matrix.cols()-1 : 1),
+        m_isInitialized(false)
+    {
+      internal::tridiagonalization_inplace(m_matrix, m_hCoeffs);
+      m_isInitialized = true;
+    }
+
+    /** \brief Computes tridiagonal decomposition of given matrix.
+      *
+      * \param[in]  matrix  Selfadjoint matrix whose tridiagonal decomposition
+      * is to be computed.
+      * \returns    Reference to \c *this
+      *
+      * The tridiagonal decomposition is computed by bringing the columns of
+      * the matrix successively in the required form using Householder
+      * reflections. The cost is \f$ 4n^3/3 \f$ flops, where \f$ n \f$ denotes
+      * the size of the given matrix.
+      *
+      * This method reuses of the allocated data in the Tridiagonalization
+      * object, if the size of the matrix does not change.
+      *
+      * Example: \include Tridiagonalization_compute.cpp
+      * Output: \verbinclude Tridiagonalization_compute.out
+      */
+    template<typename InputType>
+    Tridiagonalization& compute(const EigenBase<InputType>& matrix)
+    {
+      m_matrix = matrix.derived();
+      m_hCoeffs.resize(matrix.rows()-1, 1);
+      internal::tridiagonalization_inplace(m_matrix, m_hCoeffs);
+      m_isInitialized = true;
+      return *this;
+    }
+
+    /** \brief Returns the Householder coefficients.
+      *
+      * \returns a const reference to the vector of Householder coefficients
+      *
+      * \pre Either the constructor Tridiagonalization(const MatrixType&) or
+      * the member function compute(const MatrixType&) has been called before
+      * to compute the tridiagonal decomposition of a matrix.
+      *
+      * The Householder coefficients allow the reconstruction of the matrix
+      * \f$ Q \f$ in the tridiagonal decomposition from the packed data.
+      *
+      * Example: \include Tridiagonalization_householderCoefficients.cpp
+      * Output: \verbinclude Tridiagonalization_householderCoefficients.out
+      *
+      * \sa packedMatrix(), \ref Householder_Module "Householder module"
+      */
+    inline CoeffVectorType householderCoefficients() const
+    {
+      eigen_assert(m_isInitialized && "Tridiagonalization is not initialized.");
+      return m_hCoeffs;
+    }
+
+    /** \brief Returns the internal representation of the decomposition
+      *
+      *	\returns a const reference to a matrix with the internal representation
+      *	         of the decomposition.
+      *
+      * \pre Either the constructor Tridiagonalization(const MatrixType&) or
+      * the member function compute(const MatrixType&) has been called before
+      * to compute the tridiagonal decomposition of a matrix.
+      *
+      * The returned matrix contains the following information:
+      *  - the strict upper triangular part is equal to the input matrix A.
+      *  - the diagonal and lower sub-diagonal represent the real tridiagonal
+      *    symmetric matrix T.
+      *  - the rest of the lower part contains the Householder vectors that,
+      *    combined with Householder coefficients returned by
+      *    householderCoefficients(), allows to reconstruct the matrix Q as
+      *       \f$ Q = H_{N-1} \ldots H_1 H_0 \f$.
+      *    Here, the matrices \f$ H_i \f$ are the Householder transformations
+      *       \f$ H_i = (I - h_i v_i v_i^T) \f$
+      *    where \f$ h_i \f$ is the \f$ i \f$th Householder coefficient and
+      *    \f$ v_i \f$ is the Householder vector defined by
+      *       \f$ v_i = [ 0, \ldots, 0, 1, M(i+2,i), \ldots, M(N-1,i) ]^T \f$
+      *    with M the matrix returned by this function.
+      *
+      * See LAPACK for further details on this packed storage.
+      *
+      * Example: \include Tridiagonalization_packedMatrix.cpp
+      * Output: \verbinclude Tridiagonalization_packedMatrix.out
+      *
+      * \sa householderCoefficients()
+      */
+    inline const MatrixType& packedMatrix() const
+    {
+      eigen_assert(m_isInitialized && "Tridiagonalization is not initialized.");
+      return m_matrix;
+    }
+
+    /** \brief Returns the unitary matrix Q in the decomposition
+      *
+      * \returns object representing the matrix Q
+      *
+      * \pre Either the constructor Tridiagonalization(const MatrixType&) or
+      * the member function compute(const MatrixType&) has been called before
+      * to compute the tridiagonal decomposition of a matrix.
+      *
+      * This function returns a light-weight object of template class
+      * HouseholderSequence. You can either apply it directly to a matrix or
+      * you can convert it to a matrix of type #MatrixType.
+      *
+      * \sa Tridiagonalization(const MatrixType&) for an example,
+      *     matrixT(), class HouseholderSequence
+      */
+    HouseholderSequenceType matrixQ() const
+    {
+      eigen_assert(m_isInitialized && "Tridiagonalization is not initialized.");
+      return HouseholderSequenceType(m_matrix, m_hCoeffs.conjugate())
+             .setLength(m_matrix.rows() - 1)
+             .setShift(1);
+    }
+
+    /** \brief Returns an expression of the tridiagonal matrix T in the decomposition
+      *
+      * \returns expression object representing the matrix T
+      *
+      * \pre Either the constructor Tridiagonalization(const MatrixType&) or
+      * the member function compute(const MatrixType&) has been called before
+      * to compute the tridiagonal decomposition of a matrix.
+      *
+      * Currently, this function can be used to extract the matrix T from internal
+      * data and copy it to a dense matrix object. In most cases, it may be
+      * sufficient to directly use the packed matrix or the vector expressions
+      * returned by diagonal() and subDiagonal() instead of creating a new
+      * dense copy matrix with this function.
+      *
+      * \sa Tridiagonalization(const MatrixType&) for an example,
+      * matrixQ(), packedMatrix(), diagonal(), subDiagonal()
+      */
+    MatrixTReturnType matrixT() const
+    {
+      eigen_assert(m_isInitialized && "Tridiagonalization is not initialized.");
+      return MatrixTReturnType(m_matrix.real());
+    }
+
+    /** \brief Returns the diagonal of the tridiagonal matrix T in the decomposition.
+      *
+      * \returns expression representing the diagonal of T
+      *
+      * \pre Either the constructor Tridiagonalization(const MatrixType&) or
+      * the member function compute(const MatrixType&) has been called before
+      * to compute the tridiagonal decomposition of a matrix.
+      *
+      * Example: \include Tridiagonalization_diagonal.cpp
+      * Output: \verbinclude Tridiagonalization_diagonal.out
+      *
+      * \sa matrixT(), subDiagonal()
+      */
+    DiagonalReturnType diagonal() const;
+
+    /** \brief Returns the subdiagonal of the tridiagonal matrix T in the decomposition.
+      *
+      * \returns expression representing the subdiagonal of T
+      *
+      * \pre Either the constructor Tridiagonalization(const MatrixType&) or
+      * the member function compute(const MatrixType&) has been called before
+      * to compute the tridiagonal decomposition of a matrix.
+      *
+      * \sa diagonal() for an example, matrixT()
+      */
+    SubDiagonalReturnType subDiagonal() const;
+
+  protected:
+
+    MatrixType m_matrix;
+    CoeffVectorType m_hCoeffs;
+    bool m_isInitialized;
+};
+
+template<typename MatrixType>
+typename Tridiagonalization<MatrixType>::DiagonalReturnType
+Tridiagonalization<MatrixType>::diagonal() const
+{
+  eigen_assert(m_isInitialized && "Tridiagonalization is not initialized.");
+  return m_matrix.diagonal().real();
+}
+
+template<typename MatrixType>
+typename Tridiagonalization<MatrixType>::SubDiagonalReturnType
+Tridiagonalization<MatrixType>::subDiagonal() const
+{
+  eigen_assert(m_isInitialized && "Tridiagonalization is not initialized.");
+  return m_matrix.template diagonal<-1>().real();
+}
+
+namespace internal {
+
+/** \internal
+  * Performs a tridiagonal decomposition of the selfadjoint matrix \a matA in-place.
+  *
+  * \param[in,out] matA On input the selfadjoint matrix. Only the \b lower triangular part is referenced.
+  *                     On output, the strict upper part is left unchanged, and the lower triangular part
+  *                     represents the T and Q matrices in packed format has detailed below.
+  * \param[out]    hCoeffs returned Householder coefficients (see below)
+  *
+  * On output, the tridiagonal selfadjoint matrix T is stored in the diagonal
+  * and lower sub-diagonal of the matrix \a matA.
+  * The unitary matrix Q is represented in a compact way as a product of
+  * Householder reflectors \f$ H_i \f$ such that:
+  *       \f$ Q = H_{N-1} \ldots H_1 H_0 \f$.
+  * The Householder reflectors are defined as
+  *       \f$ H_i = (I - h_i v_i v_i^T) \f$
+  * where \f$ h_i = hCoeffs[i]\f$ is the \f$ i \f$th Householder coefficient and
+  * \f$ v_i \f$ is the Householder vector defined by
+  *       \f$ v_i = [ 0, \ldots, 0, 1, matA(i+2,i), \ldots, matA(N-1,i) ]^T \f$.
+  *
+  * Implemented from Golub's "Matrix Computations", algorithm 8.3.1.
+  *
+  * \sa Tridiagonalization::packedMatrix()
+  */
+template<typename MatrixType, typename CoeffVectorType>
+void tridiagonalization_inplace(MatrixType& matA, CoeffVectorType& hCoeffs)
+{
+  using numext::conj;
+  typedef typename MatrixType::Scalar Scalar;
+  typedef typename MatrixType::RealScalar RealScalar;
+  Index n = matA.rows();
+  eigen_assert(n==matA.cols());
+  eigen_assert(n==hCoeffs.size()+1 || n==1);
+  
+  for (Index i = 0; i<n-1; ++i)
+  {
+    Index remainingSize = n-i-1;
+    RealScalar beta;
+    Scalar h;
+    matA.col(i).tail(remainingSize).makeHouseholderInPlace(h, beta);
+
+    // Apply similarity transformation to remaining columns,
+    // i.e., A = H A H' where H = I - h v v' and v = matA.col(i).tail(n-i-1)
+    matA.col(i).coeffRef(i+1) = 1;
+
+    hCoeffs.tail(n-i-1).noalias() = (matA.bottomRightCorner(remainingSize,remainingSize).template selfadjointView<Lower>()
+                                  * (conj(h) * matA.col(i).tail(remainingSize)));
+
+    hCoeffs.tail(n-i-1) += (conj(h)*RealScalar(-0.5)*(hCoeffs.tail(remainingSize).dot(matA.col(i).tail(remainingSize)))) * matA.col(i).tail(n-i-1);
+
+    matA.bottomRightCorner(remainingSize, remainingSize).template selfadjointView<Lower>()
+      .rankUpdate(matA.col(i).tail(remainingSize), hCoeffs.tail(remainingSize), Scalar(-1));
+
+    matA.col(i).coeffRef(i+1) = beta;
+    hCoeffs.coeffRef(i) = h;
+  }
+}
+
+// forward declaration, implementation at the end of this file
+template<typename MatrixType,
+         int Size=MatrixType::ColsAtCompileTime,
+         bool IsComplex=NumTraits<typename MatrixType::Scalar>::IsComplex>
+struct tridiagonalization_inplace_selector;
+
+/** \brief Performs a full tridiagonalization in place
+  *
+  * \param[in,out]  mat  On input, the selfadjoint matrix whose tridiagonal
+  *    decomposition is to be computed. Only the lower triangular part referenced.
+  *    The rest is left unchanged. On output, the orthogonal matrix Q
+  *    in the decomposition if \p extractQ is true.
+  * \param[out]  diag  The diagonal of the tridiagonal matrix T in the
+  *    decomposition.
+  * \param[out]  subdiag  The subdiagonal of the tridiagonal matrix T in
+  *    the decomposition.
+  * \param[in]  extractQ  If true, the orthogonal matrix Q in the
+  *    decomposition is computed and stored in \p mat.
+  *
+  * Computes the tridiagonal decomposition of the selfadjoint matrix \p mat in place
+  * such that \f$ mat = Q T Q^* \f$ where \f$ Q \f$ is unitary and \f$ T \f$ a real
+  * symmetric tridiagonal matrix.
+  *
+  * The tridiagonal matrix T is passed to the output parameters \p diag and \p subdiag. If
+  * \p extractQ is true, then the orthogonal matrix Q is passed to \p mat. Otherwise the lower
+  * part of the matrix \p mat is destroyed.
+  *
+  * The vectors \p diag and \p subdiag are not resized. The function
+  * assumes that they are already of the correct size. The length of the
+  * vector \p diag should equal the number of rows in \p mat, and the
+  * length of the vector \p subdiag should be one left.
+  *
+  * This implementation contains an optimized path for 3-by-3 matrices
+  * which is especially useful for plane fitting.
+  *
+  * \note Currently, it requires two temporary vectors to hold the intermediate
+  * Householder coefficients, and to reconstruct the matrix Q from the Householder
+  * reflectors.
+  *
+  * Example (this uses the same matrix as the example in
+  *    Tridiagonalization::Tridiagonalization(const MatrixType&)):
+  *    \include Tridiagonalization_decomposeInPlace.cpp
+  * Output: \verbinclude Tridiagonalization_decomposeInPlace.out
+  *
+  * \sa class Tridiagonalization
+  */
+template<typename MatrixType, typename DiagonalType, typename SubDiagonalType>
+void tridiagonalization_inplace(MatrixType& mat, DiagonalType& diag, SubDiagonalType& subdiag, bool extractQ)
+{
+  eigen_assert(mat.cols()==mat.rows() && diag.size()==mat.rows() && subdiag.size()==mat.rows()-1);
+  tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, extractQ);
+}
+
+/** \internal
+  * General full tridiagonalization
+  */
+template<typename MatrixType, int Size, bool IsComplex>
+struct tridiagonalization_inplace_selector
+{
+  typedef typename Tridiagonalization<MatrixType>::CoeffVectorType CoeffVectorType;
+  typedef typename Tridiagonalization<MatrixType>::HouseholderSequenceType HouseholderSequenceType;
+  template<typename DiagonalType, typename SubDiagonalType>
+  static void run(MatrixType& mat, DiagonalType& diag, SubDiagonalType& subdiag, bool extractQ)
+  {
+    CoeffVectorType hCoeffs(mat.cols()-1);
+    tridiagonalization_inplace(mat,hCoeffs);
+    diag = mat.diagonal().real();
+    subdiag = mat.template diagonal<-1>().real();
+    if(extractQ)
+      mat = HouseholderSequenceType(mat, hCoeffs.conjugate())
+            .setLength(mat.rows() - 1)
+            .setShift(1);
+  }
+};
+
+/** \internal
+  * Specialization for 3x3 real matrices.
+  * Especially useful for plane fitting.
+  */
+template<typename MatrixType>
+struct tridiagonalization_inplace_selector<MatrixType,3,false>
+{
+  typedef typename MatrixType::Scalar Scalar;
+  typedef typename MatrixType::RealScalar RealScalar;
+
+  template<typename DiagonalType, typename SubDiagonalType>
+  static void run(MatrixType& mat, DiagonalType& diag, SubDiagonalType& subdiag, bool extractQ)
+  {
+    using std::sqrt;
+    const RealScalar tol = (std::numeric_limits<RealScalar>::min)();
+    diag[0] = mat(0,0);
+    RealScalar v1norm2 = numext::abs2(mat(2,0));
+    if(v1norm2 <= tol)
+    {
+      diag[1] = mat(1,1);
+      diag[2] = mat(2,2);
+      subdiag[0] = mat(1,0);
+      subdiag[1] = mat(2,1);
+      if (extractQ)
+        mat.setIdentity();
+    }
+    else
+    {
+      RealScalar beta = sqrt(numext::abs2(mat(1,0)) + v1norm2);
+      RealScalar invBeta = RealScalar(1)/beta;
+      Scalar m01 = mat(1,0) * invBeta;
+      Scalar m02 = mat(2,0) * invBeta;
+      Scalar q = RealScalar(2)*m01*mat(2,1) + m02*(mat(2,2) - mat(1,1));
+      diag[1] = mat(1,1) + m02*q;
+      diag[2] = mat(2,2) - m02*q;
+      subdiag[0] = beta;
+      subdiag[1] = mat(2,1) - m01 * q;
+      if (extractQ)
+      {
+        mat << 1,   0,    0,
+               0, m01,  m02,
+               0, m02, -m01;
+      }
+    }
+  }
+};
+
+/** \internal
+  * Trivial specialization for 1x1 matrices
+  */
+template<typename MatrixType, bool IsComplex>
+struct tridiagonalization_inplace_selector<MatrixType,1,IsComplex>
+{
+  typedef typename MatrixType::Scalar Scalar;
+
+  template<typename DiagonalType, typename SubDiagonalType>
+  static void run(MatrixType& mat, DiagonalType& diag, SubDiagonalType&, bool extractQ)
+  {
+    diag(0,0) = numext::real(mat(0,0));
+    if(extractQ)
+      mat(0,0) = Scalar(1);
+  }
+};
+
+/** \internal
+  * \eigenvalues_module \ingroup Eigenvalues_Module
+  *
+  * \brief Expression type for return value of Tridiagonalization::matrixT()
+  *
+  * \tparam MatrixType type of underlying dense matrix
+  */
+template<typename MatrixType> struct TridiagonalizationMatrixTReturnType
+: public ReturnByValue<TridiagonalizationMatrixTReturnType<MatrixType> >
+{
+  public:
+    /** \brief Constructor.
+      *
+      * \param[in] mat The underlying dense matrix
+      */
+    TridiagonalizationMatrixTReturnType(const MatrixType& mat) : m_matrix(mat) { }
+
+    template <typename ResultType>
+    inline void evalTo(ResultType& result) const
+    {
+      result.setZero();
+      result.template diagonal<1>() = m_matrix.template diagonal<-1>().conjugate();
+      result.diagonal() = m_matrix.diagonal();
+      result.template diagonal<-1>() = m_matrix.template diagonal<-1>();
+    }
+
+    Index rows() const { return m_matrix.rows(); }
+    Index cols() const { return m_matrix.cols(); }
+
+  protected:
+    typename MatrixType::Nested m_matrix;
+};
+
+} // end namespace internal
+
+} // end namespace Eigen
+
+#endif // EIGEN_TRIDIAGONALIZATION_H
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Eigenvalues/ComplexSchur.h
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Eigenvalues/ComplexSchur.h	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Eigenvalues/ComplexSchur.h	(revision 3761)
@@ -0,0 +1,462 @@
+// This file is part of Eigen, a lightweight C++ template library
+// for linear algebra.
+//
+// Copyright (C) 2009 Claire Maurice
+// Copyright (C) 2009 Gael Guennebaud <gael.guennebaud@inria.fr>
+// Copyright (C) 2010,2012 Jitse Niesen <jitse@maths.leeds.ac.uk>
+//
+// This Source Code Form is subject to the terms of the Mozilla
+// Public License v. 2.0. If a copy of the MPL was not distributed
+// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
+
+#ifndef EIGEN_COMPLEX_SCHUR_H
+#define EIGEN_COMPLEX_SCHUR_H
+
+#include "./HessenbergDecomposition.h"
+
+namespace Eigen { 
+
+namespace internal {
+template<typename MatrixType, bool IsComplex> struct complex_schur_reduce_to_hessenberg;
+}
+
+/** \eigenvalues_module \ingroup Eigenvalues_Module
+  *
+  *
+  * \class ComplexSchur
+  *
+  * \brief Performs a complex Schur decomposition of a real or complex square matrix
+  *
+  * \tparam _MatrixType the type of the matrix of which we are
+  * computing the Schur decomposition; this is expected to be an
+  * instantiation of the Matrix class template.
+  *
+  * Given a real or complex square matrix A, this class computes the
+  * Schur decomposition: \f$ A = U T U^*\f$ where U is a unitary
+  * complex matrix, and T is a complex upper triangular matrix.  The
+  * diagonal of the matrix T corresponds to the eigenvalues of the
+  * matrix A.
+  *
+  * Call the function compute() to compute the Schur decomposition of
+  * a given matrix. Alternatively, you can use the 
+  * ComplexSchur(const MatrixType&, bool) constructor which computes
+  * the Schur decomposition at construction time. Once the
+  * decomposition is computed, you can use the matrixU() and matrixT()
+  * functions to retrieve the matrices U and V in the decomposition.
+  *
+  * \note This code is inspired from Jampack
+  *
+  * \sa class RealSchur, class EigenSolver, class ComplexEigenSolver
+  */
+template<typename _MatrixType> class ComplexSchur
+{
+  public:
+    typedef _MatrixType MatrixType;
+    enum {
+      RowsAtCompileTime = MatrixType::RowsAtCompileTime,
+      ColsAtCompileTime = MatrixType::ColsAtCompileTime,
+      Options = MatrixType::Options,
+      MaxRowsAtCompileTime = MatrixType::MaxRowsAtCompileTime,
+      MaxColsAtCompileTime = MatrixType::MaxColsAtCompileTime
+    };
+
+    /** \brief Scalar type for matrices of type \p _MatrixType. */
+    typedef typename MatrixType::Scalar Scalar;
+    typedef typename NumTraits<Scalar>::Real RealScalar;
+    typedef Eigen::Index Index; ///< \deprecated since Eigen 3.3
+
+    /** \brief Complex scalar type for \p _MatrixType. 
+      *
+      * This is \c std::complex<Scalar> if #Scalar is real (e.g.,
+      * \c float or \c double) and just \c Scalar if #Scalar is
+      * complex.
+      */
+    typedef std::complex<RealScalar> ComplexScalar;
+
+    /** \brief Type for the matrices in the Schur decomposition.
+      *
+      * This is a square matrix with entries of type #ComplexScalar. 
+      * The size is the same as the size of \p _MatrixType.
+      */
+    typedef Matrix<ComplexScalar, RowsAtCompileTime, ColsAtCompileTime, Options, MaxRowsAtCompileTime, MaxColsAtCompileTime> ComplexMatrixType;
+
+    /** \brief Default constructor.
+      *
+      * \param [in] size  Positive integer, size of the matrix whose Schur decomposition will be computed.
+      *
+      * The default constructor is useful in cases in which the user
+      * intends to perform decompositions via compute().  The \p size
+      * parameter is only used as a hint. It is not an error to give a
+      * wrong \p size, but it may impair performance.
+      *
+      * \sa compute() for an example.
+      */
+    explicit ComplexSchur(Index size = RowsAtCompileTime==Dynamic ? 1 : RowsAtCompileTime)
+      : m_matT(size,size),
+        m_matU(size,size),
+        m_hess(size),
+        m_isInitialized(false),
+        m_matUisUptodate(false),
+        m_maxIters(-1)
+    {}
+
+    /** \brief Constructor; computes Schur decomposition of given matrix. 
+      * 
+      * \param[in]  matrix    Square matrix whose Schur decomposition is to be computed.
+      * \param[in]  computeU  If true, both T and U are computed; if false, only T is computed.
+      *
+      * This constructor calls compute() to compute the Schur decomposition.
+      *
+      * \sa matrixT() and matrixU() for examples.
+      */
+    template<typename InputType>
+    explicit ComplexSchur(const EigenBase<InputType>& matrix, bool computeU = true)
+      : m_matT(matrix.rows(),matrix.cols()),
+        m_matU(matrix.rows(),matrix.cols()),
+        m_hess(matrix.rows()),
+        m_isInitialized(false),
+        m_matUisUptodate(false),
+        m_maxIters(-1)
+    {
+      compute(matrix.derived(), computeU);
+    }
+
+    /** \brief Returns the unitary matrix in the Schur decomposition. 
+      *
+      * \returns A const reference to the matrix U.
+      *
+      * It is assumed that either the constructor
+      * ComplexSchur(const MatrixType& matrix, bool computeU) or the
+      * member function compute(const MatrixType& matrix, bool computeU)
+      * has been called before to compute the Schur decomposition of a
+      * matrix, and that \p computeU was set to true (the default
+      * value).
+      *
+      * Example: \include ComplexSchur_matrixU.cpp
+      * Output: \verbinclude ComplexSchur_matrixU.out
+      */
+    const ComplexMatrixType& matrixU() const
+    {
+      eigen_assert(m_isInitialized && "ComplexSchur is not initialized.");
+      eigen_assert(m_matUisUptodate && "The matrix U has not been computed during the ComplexSchur decomposition.");
+      return m_matU;
+    }
+
+    /** \brief Returns the triangular matrix in the Schur decomposition. 
+      *
+      * \returns A const reference to the matrix T.
+      *
+      * It is assumed that either the constructor
+      * ComplexSchur(const MatrixType& matrix, bool computeU) or the
+      * member function compute(const MatrixType& matrix, bool computeU)
+      * has been called before to compute the Schur decomposition of a
+      * matrix.
+      *
+      * Note that this function returns a plain square matrix. If you want to reference
+      * only the upper triangular part, use:
+      * \code schur.matrixT().triangularView<Upper>() \endcode 
+      *
+      * Example: \include ComplexSchur_matrixT.cpp
+      * Output: \verbinclude ComplexSchur_matrixT.out
+      */
+    const ComplexMatrixType& matrixT() const
+    {
+      eigen_assert(m_isInitialized && "ComplexSchur is not initialized.");
+      return m_matT;
+    }
+
+    /** \brief Computes Schur decomposition of given matrix. 
+      * 
+      * \param[in]  matrix  Square matrix whose Schur decomposition is to be computed.
+      * \param[in]  computeU  If true, both T and U are computed; if false, only T is computed.
+
+      * \returns    Reference to \c *this
+      *
+      * The Schur decomposition is computed by first reducing the
+      * matrix to Hessenberg form using the class
+      * HessenbergDecomposition. The Hessenberg matrix is then reduced
+      * to triangular form by performing QR iterations with a single
+      * shift. The cost of computing the Schur decomposition depends
+      * on the number of iterations; as a rough guide, it may be taken
+      * on the number of iterations; as a rough guide, it may be taken
+      * to be \f$25n^3\f$ complex flops, or \f$10n^3\f$ complex flops
+      * if \a computeU is false.
+      *
+      * Example: \include ComplexSchur_compute.cpp
+      * Output: \verbinclude ComplexSchur_compute.out
+      *
+      * \sa compute(const MatrixType&, bool, Index)
+      */
+    template<typename InputType>
+    ComplexSchur& compute(const EigenBase<InputType>& matrix, bool computeU = true);
+    
+    /** \brief Compute Schur decomposition from a given Hessenberg matrix
+     *  \param[in] matrixH Matrix in Hessenberg form H
+     *  \param[in] matrixQ orthogonal matrix Q that transform a matrix A to H : A = Q H Q^T
+     *  \param computeU Computes the matriX U of the Schur vectors
+     * \return Reference to \c *this
+     * 
+     *  This routine assumes that the matrix is already reduced in Hessenberg form matrixH
+     *  using either the class HessenbergDecomposition or another mean. 
+     *  It computes the upper quasi-triangular matrix T of the Schur decomposition of H
+     *  When computeU is true, this routine computes the matrix U such that 
+     *  A = U T U^T =  (QZ) T (QZ)^T = Q H Q^T where A is the initial matrix
+     * 
+     * NOTE Q is referenced if computeU is true; so, if the initial orthogonal matrix
+     * is not available, the user should give an identity matrix (Q.setIdentity())
+     * 
+     * \sa compute(const MatrixType&, bool)
+     */
+    template<typename HessMatrixType, typename OrthMatrixType>
+    ComplexSchur& computeFromHessenberg(const HessMatrixType& matrixH, const OrthMatrixType& matrixQ,  bool computeU=true);
+
+    /** \brief Reports whether previous computation was successful.
+      *
+      * \returns \c Success if computation was succesful, \c NoConvergence otherwise.
+      */
+    ComputationInfo info() const
+    {
+      eigen_assert(m_isInitialized && "ComplexSchur is not initialized.");
+      return m_info;
+    }
+
+    /** \brief Sets the maximum number of iterations allowed. 
+      *
+      * If not specified by the user, the maximum number of iterations is m_maxIterationsPerRow times the size
+      * of the matrix.
+      */
+    ComplexSchur& setMaxIterations(Index maxIters)
+    {
+      m_maxIters = maxIters;
+      return *this;
+    }
+
+    /** \brief Returns the maximum number of iterations. */
+    Index getMaxIterations()
+    {
+      return m_maxIters;
+    }
+
+    /** \brief Maximum number of iterations per row.
+      *
+      * If not otherwise specified, the maximum number of iterations is this number times the size of the
+      * matrix. It is currently set to 30.
+      */
+    static const int m_maxIterationsPerRow = 30;
+
+  protected:
+    ComplexMatrixType m_matT, m_matU;
+    HessenbergDecomposition<MatrixType> m_hess;
+    ComputationInfo m_info;
+    bool m_isInitialized;
+    bool m_matUisUptodate;
+    Index m_maxIters;
+
+  private:  
+    bool subdiagonalEntryIsNeglegible(Index i);
+    ComplexScalar computeShift(Index iu, Index iter);
+    void reduceToTriangularForm(bool computeU);
+    friend struct internal::complex_schur_reduce_to_hessenberg<MatrixType, NumTraits<Scalar>::IsComplex>;
+};
+
+/** If m_matT(i+1,i) is neglegible in floating point arithmetic
+  * compared to m_matT(i,i) and m_matT(j,j), then set it to zero and
+  * return true, else return false. */
+template<typename MatrixType>
+inline bool ComplexSchur<MatrixType>::subdiagonalEntryIsNeglegible(Index i)
+{
+  RealScalar d = numext::norm1(m_matT.coeff(i,i)) + numext::norm1(m_matT.coeff(i+1,i+1));
+  RealScalar sd = numext::norm1(m_matT.coeff(i+1,i));
+  if (internal::isMuchSmallerThan(sd, d, NumTraits<RealScalar>::epsilon()))
+  {
+    m_matT.coeffRef(i+1,i) = ComplexScalar(0);
+    return true;
+  }
+  return false;
+}
+
+
+/** Compute the shift in the current QR iteration. */
+template<typename MatrixType>
+typename ComplexSchur<MatrixType>::ComplexScalar ComplexSchur<MatrixType>::computeShift(Index iu, Index iter)
+{
+  using std::abs;
+  if (iter == 10 || iter == 20) 
+  {
+    // exceptional shift, taken from http://www.netlib.org/eispack/comqr.f
+    return abs(numext::real(m_matT.coeff(iu,iu-1))) + abs(numext::real(m_matT.coeff(iu-1,iu-2)));
+  }
+
+  // compute the shift as one of the eigenvalues of t, the 2x2
+  // diagonal block on the bottom of the active submatrix
+  Matrix<ComplexScalar,2,2> t = m_matT.template block<2,2>(iu-1,iu-1);
+  RealScalar normt = t.cwiseAbs().sum();
+  t /= normt;     // the normalization by sf is to avoid under/overflow
+
+  ComplexScalar b = t.coeff(0,1) * t.coeff(1,0);
+  ComplexScalar c = t.coeff(0,0) - t.coeff(1,1);
+  ComplexScalar disc = sqrt(c*c + RealScalar(4)*b);
+  ComplexScalar det = t.coeff(0,0) * t.coeff(1,1) - b;
+  ComplexScalar trace = t.coeff(0,0) + t.coeff(1,1);
+  ComplexScalar eival1 = (trace + disc) / RealScalar(2);
+  ComplexScalar eival2 = (trace - disc) / RealScalar(2);
+  RealScalar eival1_norm = numext::norm1(eival1);
+  RealScalar eival2_norm = numext::norm1(eival2);
+  // A division by zero can only occur if eival1==eival2==0.
+  // In this case, det==0, and all we have to do is checking that eival2_norm!=0
+  if(eival1_norm > eival2_norm)
+    eival2 = det / eival1;
+  else if(eival2_norm!=RealScalar(0))
+    eival1 = det / eival2;
+
+  // choose the eigenvalue closest to the bottom entry of the diagonal
+  if(numext::norm1(eival1-t.coeff(1,1)) < numext::norm1(eival2-t.coeff(1,1)))
+    return normt * eival1;
+  else
+    return normt * eival2;
+}
+
+
+template<typename MatrixType>
+template<typename InputType>
+ComplexSchur<MatrixType>& ComplexSchur<MatrixType>::compute(const EigenBase<InputType>& matrix, bool computeU)
+{
+  m_matUisUptodate = false;
+  eigen_assert(matrix.cols() == matrix.rows());
+
+  if(matrix.cols() == 1)
+  {
+    m_matT = matrix.derived().template cast<ComplexScalar>();
+    if(computeU)  m_matU = ComplexMatrixType::Identity(1,1);
+    m_info = Success;
+    m_isInitialized = true;
+    m_matUisUptodate = computeU;
+    return *this;
+  }
+
+  internal::complex_schur_reduce_to_hessenberg<MatrixType, NumTraits<Scalar>::IsComplex>::run(*this, matrix.derived(), computeU);
+  computeFromHessenberg(m_matT, m_matU, computeU);
+  return *this;
+}
+
+template<typename MatrixType>
+template<typename HessMatrixType, typename OrthMatrixType>
+ComplexSchur<MatrixType>& ComplexSchur<MatrixType>::computeFromHessenberg(const HessMatrixType& matrixH, const OrthMatrixType& matrixQ, bool computeU)
+{
+  m_matT = matrixH;
+  if(computeU)
+    m_matU = matrixQ;
+  reduceToTriangularForm(computeU);
+  return *this;
+}
+namespace internal {
+
+/* Reduce given matrix to Hessenberg form */
+template<typename MatrixType, bool IsComplex>
+struct complex_schur_reduce_to_hessenberg
+{
+  // this is the implementation for the case IsComplex = true
+  static void run(ComplexSchur<MatrixType>& _this, const MatrixType& matrix, bool computeU)
+  {
+    _this.m_hess.compute(matrix);
+    _this.m_matT = _this.m_hess.matrixH();
+    if(computeU)  _this.m_matU = _this.m_hess.matrixQ();
+  }
+};
+
+template<typename MatrixType>
+struct complex_schur_reduce_to_hessenberg<MatrixType, false>
+{
+  static void run(ComplexSchur<MatrixType>& _this, const MatrixType& matrix, bool computeU)
+  {
+    typedef typename ComplexSchur<MatrixType>::ComplexScalar ComplexScalar;
+
+    // Note: m_hess is over RealScalar; m_matT and m_matU is over ComplexScalar
+    _this.m_hess.compute(matrix);
+    _this.m_matT = _this.m_hess.matrixH().template cast<ComplexScalar>();
+    if(computeU)  
+    {
+      // This may cause an allocation which seems to be avoidable
+      MatrixType Q = _this.m_hess.matrixQ(); 
+      _this.m_matU = Q.template cast<ComplexScalar>();
+    }
+  }
+};
+
+} // end namespace internal
+
+// Reduce the Hessenberg matrix m_matT to triangular form by QR iteration.
+template<typename MatrixType>
+void ComplexSchur<MatrixType>::reduceToTriangularForm(bool computeU)
+{  
+  Index maxIters = m_maxIters;
+  if (maxIters == -1)
+    maxIters = m_maxIterationsPerRow * m_matT.rows();
+
+  // The matrix m_matT is divided in three parts. 
+  // Rows 0,...,il-1 are decoupled from the rest because m_matT(il,il-1) is zero. 
+  // Rows il,...,iu is the part we are working on (the active submatrix).
+  // Rows iu+1,...,end are already brought in triangular form.
+  Index iu = m_matT.cols() - 1;
+  Index il;
+  Index iter = 0; // number of iterations we are working on the (iu,iu) element
+  Index totalIter = 0; // number of iterations for whole matrix
+
+  while(true)
+  {
+    // find iu, the bottom row of the active submatrix
+    while(iu > 0)
+    {
+      if(!subdiagonalEntryIsNeglegible(iu-1)) break;
+      iter = 0;
+      --iu;
+    }
+
+    // if iu is zero then we are done; the whole matrix is triangularized
+    if(iu==0) break;
+
+    // if we spent too many iterations, we give up
+    iter++;
+    totalIter++;
+    if(totalIter > maxIters) break;
+
+    // find il, the top row of the active submatrix
+    il = iu-1;
+    while(il > 0 && !subdiagonalEntryIsNeglegible(il-1))
+    {
+      --il;
+    }
+
+    /* perform the QR step using Givens rotations. The first rotation
+       creates a bulge; the (il+2,il) element becomes nonzero. This
+       bulge is chased down to the bottom of the active submatrix. */
+
+    ComplexScalar shift = computeShift(iu, iter);
+    JacobiRotation<ComplexScalar> rot;
+    rot.makeGivens(m_matT.coeff(il,il) - shift, m_matT.coeff(il+1,il));
+    m_matT.rightCols(m_matT.cols()-il).applyOnTheLeft(il, il+1, rot.adjoint());
+    m_matT.topRows((std::min)(il+2,iu)+1).applyOnTheRight(il, il+1, rot);
+    if(computeU) m_matU.applyOnTheRight(il, il+1, rot);
+
+    for(Index i=il+1 ; i<iu ; i++)
+    {
+      rot.makeGivens(m_matT.coeffRef(i,i-1), m_matT.coeffRef(i+1,i-1), &m_matT.coeffRef(i,i-1));
+      m_matT.coeffRef(i+1,i-1) = ComplexScalar(0);
+      m_matT.rightCols(m_matT.cols()-i).applyOnTheLeft(i, i+1, rot.adjoint());
+      m_matT.topRows((std::min)(i+2,iu)+1).applyOnTheRight(i, i+1, rot);
+      if(computeU) m_matU.applyOnTheRight(i, i+1, rot);
+    }
+  }
+
+  if(totalIter <= maxIters)
+    m_info = Success;
+  else
+    m_info = NoConvergence;
+
+  m_isInitialized = true;
+  m_matUisUptodate = computeU;
+}
+
+} // end namespace Eigen
+
+#endif // EIGEN_COMPLEX_SCHUR_H
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Eigenvalues/ComplexSchur_LAPACKE.h
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Eigenvalues/ComplexSchur_LAPACKE.h	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Eigenvalues/ComplexSchur_LAPACKE.h	(revision 3761)
@@ -0,0 +1,91 @@
+/*
+ Copyright (c) 2011, Intel Corporation. All rights reserved.
+
+ Redistribution and use in source and binary forms, with or without modification,
+ are permitted provided that the following conditions are met:
+
+ * Redistributions of source code must retain the above copyright notice, this
+   list of conditions and the following disclaimer.
+ * Redistributions in binary form must reproduce the above copyright notice,
+   this list of conditions and the following disclaimer in the documentation
+   and/or other materials provided with the distribution.
+ * Neither the name of Intel Corporation nor the names of its contributors may
+   be used to endorse or promote products derived from this software without
+   specific prior written permission.
+
+ THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND
+ ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED
+ WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
+ DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE LIABLE FOR
+ ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES
+ (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES;
+ LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON
+ ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
+ (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS
+ SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
+
+ ********************************************************************************
+ *   Content : Eigen bindings to LAPACKe
+ *    Complex Schur needed to complex unsymmetrical eigenvalues/eigenvectors.
+ ********************************************************************************
+*/
+
+#ifndef EIGEN_COMPLEX_SCHUR_LAPACKE_H
+#define EIGEN_COMPLEX_SCHUR_LAPACKE_H
+
+namespace Eigen { 
+
+/** \internal Specialization for the data types supported by LAPACKe */
+
+#define EIGEN_LAPACKE_SCHUR_COMPLEX(EIGTYPE, LAPACKE_TYPE, LAPACKE_PREFIX, LAPACKE_PREFIX_U, EIGCOLROW, LAPACKE_COLROW) \
+template<> template<typename InputType> inline \
+ComplexSchur<Matrix<EIGTYPE, Dynamic, Dynamic, EIGCOLROW> >& \
+ComplexSchur<Matrix<EIGTYPE, Dynamic, Dynamic, EIGCOLROW> >::compute(const EigenBase<InputType>& matrix, bool computeU) \
+{ \
+  typedef Matrix<EIGTYPE, Dynamic, Dynamic, EIGCOLROW> MatrixType; \
+  typedef MatrixType::RealScalar RealScalar; \
+  typedef std::complex<RealScalar> ComplexScalar; \
+\
+  eigen_assert(matrix.cols() == matrix.rows()); \
+\
+  m_matUisUptodate = false; \
+  if(matrix.cols() == 1) \
+  { \
+    m_matT = matrix.derived().template cast<ComplexScalar>(); \
+    if(computeU)  m_matU = ComplexMatrixType::Identity(1,1); \
+      m_info = Success; \
+      m_isInitialized = true; \
+      m_matUisUptodate = computeU; \
+      return *this; \
+  } \
+  lapack_int n = internal::convert_index<lapack_int>(matrix.cols()), sdim, info; \
+  lapack_int matrix_order = LAPACKE_COLROW; \
+  char jobvs, sort='N'; \
+  LAPACK_##LAPACKE_PREFIX_U##_SELECT1 select = 0; \
+  jobvs = (computeU) ? 'V' : 'N'; \
+  m_matU.resize(n, n); \
+  lapack_int ldvs  = internal::convert_index<lapack_int>(m_matU.outerStride()); \
+  m_matT = matrix; \
+  lapack_int lda = internal::convert_index<lapack_int>(m_matT.outerStride()); \
+  Matrix<EIGTYPE, Dynamic, Dynamic> w; \
+  w.resize(n, 1);\
+  info = LAPACKE_##LAPACKE_PREFIX##gees( matrix_order, jobvs, sort, select, n, (LAPACKE_TYPE*)m_matT.data(), lda, &sdim, (LAPACKE_TYPE*)w.data(), (LAPACKE_TYPE*)m_matU.data(), ldvs ); \
+  if(info == 0) \
+    m_info = Success; \
+  else \
+    m_info = NoConvergence; \
+\
+  m_isInitialized = true; \
+  m_matUisUptodate = computeU; \
+  return *this; \
+\
+}
+
+EIGEN_LAPACKE_SCHUR_COMPLEX(dcomplex, lapack_complex_double, z, Z, ColMajor, LAPACK_COL_MAJOR)
+EIGEN_LAPACKE_SCHUR_COMPLEX(scomplex, lapack_complex_float,  c, C, ColMajor, LAPACK_COL_MAJOR)
+EIGEN_LAPACKE_SCHUR_COMPLEX(dcomplex, lapack_complex_double, z, Z, RowMajor, LAPACK_ROW_MAJOR)
+EIGEN_LAPACKE_SCHUR_COMPLEX(scomplex, lapack_complex_float,  c, C, RowMajor, LAPACK_ROW_MAJOR)
+
+} // end namespace Eigen
+
+#endif // EIGEN_COMPLEX_SCHUR_LAPACKE_H
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Eigenvalues/GeneralizedEigenSolver.h
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Eigenvalues/GeneralizedEigenSolver.h	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Eigenvalues/GeneralizedEigenSolver.h	(revision 3761)
@@ -0,0 +1,418 @@
+// This file is part of Eigen, a lightweight C++ template library
+// for linear algebra.
+//
+// Copyright (C) 2012-2016 Gael Guennebaud <gael.guennebaud@inria.fr>
+// Copyright (C) 2010,2012 Jitse Niesen <jitse@maths.leeds.ac.uk>
+// Copyright (C) 2016 Tobias Wood <tobias@spinicist.org.uk>
+//
+// This Source Code Form is subject to the terms of the Mozilla
+// Public License v. 2.0. If a copy of the MPL was not distributed
+// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
+
+#ifndef EIGEN_GENERALIZEDEIGENSOLVER_H
+#define EIGEN_GENERALIZEDEIGENSOLVER_H
+
+#include "./RealQZ.h"
+
+namespace Eigen { 
+
+/** \eigenvalues_module \ingroup Eigenvalues_Module
+  *
+  *
+  * \class GeneralizedEigenSolver
+  *
+  * \brief Computes the generalized eigenvalues and eigenvectors of a pair of general matrices
+  *
+  * \tparam _MatrixType the type of the matrices of which we are computing the
+  * eigen-decomposition; this is expected to be an instantiation of the Matrix
+  * class template. Currently, only real matrices are supported.
+  *
+  * The generalized eigenvalues and eigenvectors of a matrix pair \f$ A \f$ and \f$ B \f$ are scalars
+  * \f$ \lambda \f$ and vectors \f$ v \f$ such that \f$ Av = \lambda Bv \f$.  If
+  * \f$ D \f$ is a diagonal matrix with the eigenvalues on the diagonal, and
+  * \f$ V \f$ is a matrix with the eigenvectors as its columns, then \f$ A V =
+  * B V D \f$. The matrix \f$ V \f$ is almost always invertible, in which case we
+  * have \f$ A = B V D V^{-1} \f$. This is called the generalized eigen-decomposition.
+  *
+  * The generalized eigenvalues and eigenvectors of a matrix pair may be complex, even when the
+  * matrices are real. Moreover, the generalized eigenvalue might be infinite if the matrix B is
+  * singular. To workaround this difficulty, the eigenvalues are provided as a pair of complex \f$ \alpha \f$
+  * and real \f$ \beta \f$ such that: \f$ \lambda_i = \alpha_i / \beta_i \f$. If \f$ \beta_i \f$ is (nearly) zero,
+  * then one can consider the well defined left eigenvalue \f$ \mu = \beta_i / \alpha_i\f$ such that:
+  * \f$ \mu_i A v_i = B v_i \f$, or even \f$ \mu_i u_i^T A  = u_i^T B \f$ where \f$ u_i \f$ is
+  * called the left eigenvector.
+  *
+  * Call the function compute() to compute the generalized eigenvalues and eigenvectors of
+  * a given matrix pair. Alternatively, you can use the
+  * GeneralizedEigenSolver(const MatrixType&, const MatrixType&, bool) constructor which computes the
+  * eigenvalues and eigenvectors at construction time. Once the eigenvalue and
+  * eigenvectors are computed, they can be retrieved with the eigenvalues() and
+  * eigenvectors() functions.
+  *
+  * Here is an usage example of this class:
+  * Example: \include GeneralizedEigenSolver.cpp
+  * Output: \verbinclude GeneralizedEigenSolver.out
+  *
+  * \sa MatrixBase::eigenvalues(), class ComplexEigenSolver, class SelfAdjointEigenSolver
+  */
+template<typename _MatrixType> class GeneralizedEigenSolver
+{
+  public:
+
+    /** \brief Synonym for the template parameter \p _MatrixType. */
+    typedef _MatrixType MatrixType;
+
+    enum {
+      RowsAtCompileTime = MatrixType::RowsAtCompileTime,
+      ColsAtCompileTime = MatrixType::ColsAtCompileTime,
+      Options = MatrixType::Options,
+      MaxRowsAtCompileTime = MatrixType::MaxRowsAtCompileTime,
+      MaxColsAtCompileTime = MatrixType::MaxColsAtCompileTime
+    };
+
+    /** \brief Scalar type for matrices of type #MatrixType. */
+    typedef typename MatrixType::Scalar Scalar;
+    typedef typename NumTraits<Scalar>::Real RealScalar;
+    typedef Eigen::Index Index; ///< \deprecated since Eigen 3.3
+
+    /** \brief Complex scalar type for #MatrixType. 
+      *
+      * This is \c std::complex<Scalar> if #Scalar is real (e.g.,
+      * \c float or \c double) and just \c Scalar if #Scalar is
+      * complex.
+      */
+    typedef std::complex<RealScalar> ComplexScalar;
+
+    /** \brief Type for vector of real scalar values eigenvalues as returned by betas().
+      *
+      * This is a column vector with entries of type #Scalar.
+      * The length of the vector is the size of #MatrixType.
+      */
+    typedef Matrix<Scalar, ColsAtCompileTime, 1, Options & ~RowMajor, MaxColsAtCompileTime, 1> VectorType;
+
+    /** \brief Type for vector of complex scalar values eigenvalues as returned by alphas().
+      *
+      * This is a column vector with entries of type #ComplexScalar.
+      * The length of the vector is the size of #MatrixType.
+      */
+    typedef Matrix<ComplexScalar, ColsAtCompileTime, 1, Options & ~RowMajor, MaxColsAtCompileTime, 1> ComplexVectorType;
+
+    /** \brief Expression type for the eigenvalues as returned by eigenvalues().
+      */
+    typedef CwiseBinaryOp<internal::scalar_quotient_op<ComplexScalar,Scalar>,ComplexVectorType,VectorType> EigenvalueType;
+
+    /** \brief Type for matrix of eigenvectors as returned by eigenvectors(). 
+      *
+      * This is a square matrix with entries of type #ComplexScalar. 
+      * The size is the same as the size of #MatrixType.
+      */
+    typedef Matrix<ComplexScalar, RowsAtCompileTime, ColsAtCompileTime, Options, MaxRowsAtCompileTime, MaxColsAtCompileTime> EigenvectorsType;
+
+    /** \brief Default constructor.
+      *
+      * The default constructor is useful in cases in which the user intends to
+      * perform decompositions via EigenSolver::compute(const MatrixType&, bool).
+      *
+      * \sa compute() for an example.
+      */
+    GeneralizedEigenSolver()
+      : m_eivec(),
+        m_alphas(),
+        m_betas(),
+        m_valuesOkay(false),
+        m_vectorsOkay(false),
+        m_realQZ()
+    {}
+
+    /** \brief Default constructor with memory preallocation
+      *
+      * Like the default constructor but with preallocation of the internal data
+      * according to the specified problem \a size.
+      * \sa GeneralizedEigenSolver()
+      */
+    explicit GeneralizedEigenSolver(Index size)
+      : m_eivec(size, size),
+        m_alphas(size),
+        m_betas(size),
+        m_valuesOkay(false),
+        m_vectorsOkay(false),
+        m_realQZ(size),
+        m_tmp(size)
+    {}
+
+    /** \brief Constructor; computes the generalized eigendecomposition of given matrix pair.
+      * 
+      * \param[in]  A  Square matrix whose eigendecomposition is to be computed.
+      * \param[in]  B  Square matrix whose eigendecomposition is to be computed.
+      * \param[in]  computeEigenvectors  If true, both the eigenvectors and the
+      *    eigenvalues are computed; if false, only the eigenvalues are computed.
+      *
+      * This constructor calls compute() to compute the generalized eigenvalues
+      * and eigenvectors.
+      *
+      * \sa compute()
+      */
+    GeneralizedEigenSolver(const MatrixType& A, const MatrixType& B, bool computeEigenvectors = true)
+      : m_eivec(A.rows(), A.cols()),
+        m_alphas(A.cols()),
+        m_betas(A.cols()),
+        m_valuesOkay(false),
+        m_vectorsOkay(false),
+        m_realQZ(A.cols()),
+        m_tmp(A.cols())
+    {
+      compute(A, B, computeEigenvectors);
+    }
+
+    /* \brief Returns the computed generalized eigenvectors.
+      *
+      * \returns  %Matrix whose columns are the (possibly complex) right eigenvectors.
+      * i.e. the eigenvectors that solve (A - l*B)x = 0. The ordering matches the eigenvalues.
+      *
+      * \pre Either the constructor 
+      * GeneralizedEigenSolver(const MatrixType&,const MatrixType&, bool) or the member function
+      * compute(const MatrixType&, const MatrixType& bool) has been called before, and
+      * \p computeEigenvectors was set to true (the default).
+      *
+      * \sa eigenvalues()
+      */
+    EigenvectorsType eigenvectors() const {
+      eigen_assert(m_vectorsOkay && "Eigenvectors for GeneralizedEigenSolver were not calculated.");
+      return m_eivec;
+    }
+
+    /** \brief Returns an expression of the computed generalized eigenvalues.
+      *
+      * \returns An expression of the column vector containing the eigenvalues.
+      *
+      * It is a shortcut for \code this->alphas().cwiseQuotient(this->betas()); \endcode
+      * Not that betas might contain zeros. It is therefore not recommended to use this function,
+      * but rather directly deal with the alphas and betas vectors.
+      *
+      * \pre Either the constructor 
+      * GeneralizedEigenSolver(const MatrixType&,const MatrixType&,bool) or the member function
+      * compute(const MatrixType&,const MatrixType&,bool) has been called before.
+      *
+      * The eigenvalues are repeated according to their algebraic multiplicity,
+      * so there are as many eigenvalues as rows in the matrix. The eigenvalues 
+      * are not sorted in any particular order.
+      *
+      * \sa alphas(), betas(), eigenvectors()
+      */
+    EigenvalueType eigenvalues() const
+    {
+      eigen_assert(m_valuesOkay && "GeneralizedEigenSolver is not initialized.");
+      return EigenvalueType(m_alphas,m_betas);
+    }
+
+    /** \returns A const reference to the vectors containing the alpha values
+      *
+      * This vector permits to reconstruct the j-th eigenvalues as alphas(i)/betas(j).
+      *
+      * \sa betas(), eigenvalues() */
+    ComplexVectorType alphas() const
+    {
+      eigen_assert(m_valuesOkay && "GeneralizedEigenSolver is not initialized.");
+      return m_alphas;
+    }
+
+    /** \returns A const reference to the vectors containing the beta values
+      *
+      * This vector permits to reconstruct the j-th eigenvalues as alphas(i)/betas(j).
+      *
+      * \sa alphas(), eigenvalues() */
+    VectorType betas() const
+    {
+      eigen_assert(m_valuesOkay && "GeneralizedEigenSolver is not initialized.");
+      return m_betas;
+    }
+
+    /** \brief Computes generalized eigendecomposition of given matrix.
+      * 
+      * \param[in]  A  Square matrix whose eigendecomposition is to be computed.
+      * \param[in]  B  Square matrix whose eigendecomposition is to be computed.
+      * \param[in]  computeEigenvectors  If true, both the eigenvectors and the
+      *    eigenvalues are computed; if false, only the eigenvalues are
+      *    computed. 
+      * \returns    Reference to \c *this
+      *
+      * This function computes the eigenvalues of the real matrix \p matrix.
+      * The eigenvalues() function can be used to retrieve them.  If 
+      * \p computeEigenvectors is true, then the eigenvectors are also computed
+      * and can be retrieved by calling eigenvectors().
+      *
+      * The matrix is first reduced to real generalized Schur form using the RealQZ
+      * class. The generalized Schur decomposition is then used to compute the eigenvalues
+      * and eigenvectors.
+      *
+      * The cost of the computation is dominated by the cost of the
+      * generalized Schur decomposition.
+      *
+      * This method reuses of the allocated data in the GeneralizedEigenSolver object.
+      */
+    GeneralizedEigenSolver& compute(const MatrixType& A, const MatrixType& B, bool computeEigenvectors = true);
+
+    ComputationInfo info() const
+    {
+      eigen_assert(m_valuesOkay && "EigenSolver is not initialized.");
+      return m_realQZ.info();
+    }
+
+    /** Sets the maximal number of iterations allowed.
+    */
+    GeneralizedEigenSolver& setMaxIterations(Index maxIters)
+    {
+      m_realQZ.setMaxIterations(maxIters);
+      return *this;
+    }
+
+  protected:
+    
+    static void check_template_parameters()
+    {
+      EIGEN_STATIC_ASSERT_NON_INTEGER(Scalar);
+      EIGEN_STATIC_ASSERT(!NumTraits<Scalar>::IsComplex, NUMERIC_TYPE_MUST_BE_REAL);
+    }
+    
+    EigenvectorsType m_eivec;
+    ComplexVectorType m_alphas;
+    VectorType m_betas;
+    bool m_valuesOkay, m_vectorsOkay;
+    RealQZ<MatrixType> m_realQZ;
+    ComplexVectorType m_tmp;
+};
+
+template<typename MatrixType>
+GeneralizedEigenSolver<MatrixType>&
+GeneralizedEigenSolver<MatrixType>::compute(const MatrixType& A, const MatrixType& B, bool computeEigenvectors)
+{
+  check_template_parameters();
+  
+  using std::sqrt;
+  using std::abs;
+  eigen_assert(A.cols() == A.rows() && B.cols() == A.rows() && B.cols() == B.rows());
+  Index size = A.cols();
+  m_valuesOkay = false;
+  m_vectorsOkay = false;
+  // Reduce to generalized real Schur form:
+  // A = Q S Z and B = Q T Z
+  m_realQZ.compute(A, B, computeEigenvectors);
+  if (m_realQZ.info() == Success)
+  {
+    // Resize storage
+    m_alphas.resize(size);
+    m_betas.resize(size);
+    if (computeEigenvectors)
+    {
+      m_eivec.resize(size,size);
+      m_tmp.resize(size);
+    }
+
+    // Aliases:
+    Map<VectorType> v(reinterpret_cast<Scalar*>(m_tmp.data()), size);
+    ComplexVectorType &cv = m_tmp;
+    const MatrixType &mS = m_realQZ.matrixS();
+    const MatrixType &mT = m_realQZ.matrixT();
+
+    Index i = 0;
+    while (i < size)
+    {
+      if (i == size - 1 || mS.coeff(i+1, i) == Scalar(0))
+      {
+        // Real eigenvalue
+        m_alphas.coeffRef(i) = mS.diagonal().coeff(i);
+        m_betas.coeffRef(i)  = mT.diagonal().coeff(i);
+        if (computeEigenvectors)
+        {
+          v.setConstant(Scalar(0.0));
+          v.coeffRef(i) = Scalar(1.0);
+          // For singular eigenvalues do nothing more
+          if(abs(m_betas.coeffRef(i)) >= (std::numeric_limits<RealScalar>::min)())
+          {
+            // Non-singular eigenvalue
+            const Scalar alpha = real(m_alphas.coeffRef(i));
+            const Scalar beta = m_betas.coeffRef(i);
+            for (Index j = i-1; j >= 0; j--)
+            {
+              const Index st = j+1;
+              const Index sz = i-j;
+              if (j > 0 && mS.coeff(j, j-1) != Scalar(0))
+              {
+                // 2x2 block
+                Matrix<Scalar, 2, 1> rhs = (alpha*mT.template block<2,Dynamic>(j-1,st,2,sz) - beta*mS.template block<2,Dynamic>(j-1,st,2,sz)) .lazyProduct( v.segment(st,sz) );
+                Matrix<Scalar, 2, 2> lhs = beta * mS.template block<2,2>(j-1,j-1) - alpha * mT.template block<2,2>(j-1,j-1);
+                v.template segment<2>(j-1) = lhs.partialPivLu().solve(rhs);
+                j--;
+              }
+              else
+              {
+                v.coeffRef(j) = -v.segment(st,sz).transpose().cwiseProduct(beta*mS.block(j,st,1,sz) - alpha*mT.block(j,st,1,sz)).sum() / (beta*mS.coeffRef(j,j) - alpha*mT.coeffRef(j,j));
+              }
+            }
+          }
+          m_eivec.col(i).real().noalias() = m_realQZ.matrixZ().transpose() * v;
+          m_eivec.col(i).real().normalize();
+          m_eivec.col(i).imag().setConstant(0);
+        }
+        ++i;
+      }
+      else
+      {
+        // We need to extract the generalized eigenvalues of the pair of a general 2x2 block S and a positive diagonal 2x2 block T
+        // Then taking beta=T_00*T_11, we can avoid any division, and alpha is the eigenvalues of A = (U^-1 * S * U) * diag(T_11,T_00):
+
+        // T =  [a 0]
+        //      [0 b]
+        RealScalar a = mT.diagonal().coeff(i),
+                   b = mT.diagonal().coeff(i+1);
+        const RealScalar beta = m_betas.coeffRef(i) = m_betas.coeffRef(i+1) = a*b;
+
+        // ^^ NOTE: using diagonal()(i) instead of coeff(i,i) workarounds a MSVC bug.
+        Matrix<RealScalar,2,2> S2 = mS.template block<2,2>(i,i) * Matrix<Scalar,2,1>(b,a).asDiagonal();
+
+        Scalar p = Scalar(0.5) * (S2.coeff(0,0) - S2.coeff(1,1));
+        Scalar z = sqrt(abs(p * p + S2.coeff(1,0) * S2.coeff(0,1)));
+        const ComplexScalar alpha = ComplexScalar(S2.coeff(1,1) + p, (beta > 0) ? z : -z);
+        m_alphas.coeffRef(i)   = conj(alpha);
+        m_alphas.coeffRef(i+1) = alpha;
+
+        if (computeEigenvectors) {
+          // Compute eigenvector in position (i+1) and then position (i) is just the conjugate
+          cv.setZero();
+          cv.coeffRef(i+1) = Scalar(1.0);
+          // here, the "static_cast" workaound expression template issues.
+          cv.coeffRef(i) = -(static_cast<Scalar>(beta*mS.coeffRef(i,i+1)) - alpha*mT.coeffRef(i,i+1))
+                          / (static_cast<Scalar>(beta*mS.coeffRef(i,i))   - alpha*mT.coeffRef(i,i));
+          for (Index j = i-1; j >= 0; j--)
+          {
+            const Index st = j+1;
+            const Index sz = i+1-j;
+            if (j > 0 && mS.coeff(j, j-1) != Scalar(0))
+            {
+              // 2x2 block
+              Matrix<ComplexScalar, 2, 1> rhs = (alpha*mT.template block<2,Dynamic>(j-1,st,2,sz) - beta*mS.template block<2,Dynamic>(j-1,st,2,sz)) .lazyProduct( cv.segment(st,sz) );
+              Matrix<ComplexScalar, 2, 2> lhs = beta * mS.template block<2,2>(j-1,j-1) - alpha * mT.template block<2,2>(j-1,j-1);
+              cv.template segment<2>(j-1) = lhs.partialPivLu().solve(rhs);
+              j--;
+            } else {
+              cv.coeffRef(j) =  cv.segment(st,sz).transpose().cwiseProduct(beta*mS.block(j,st,1,sz) - alpha*mT.block(j,st,1,sz)).sum()
+                              / (alpha*mT.coeffRef(j,j) - static_cast<Scalar>(beta*mS.coeffRef(j,j)));
+            }
+          }
+          m_eivec.col(i+1).noalias() = (m_realQZ.matrixZ().transpose() * cv);
+          m_eivec.col(i+1).normalize();
+          m_eivec.col(i) = m_eivec.col(i+1).conjugate();
+        }
+        i += 2;
+      }
+    }
+
+    m_valuesOkay = true;
+    m_vectorsOkay = computeEigenvectors;
+  }
+  return *this;
+}
+
+} // end namespace Eigen
+
+#endif // EIGEN_GENERALIZEDEIGENSOLVER_H
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Eigenvalues/RealQZ.h
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Eigenvalues/RealQZ.h	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Eigenvalues/RealQZ.h	(revision 3761)
@@ -0,0 +1,654 @@
+// This file is part of Eigen, a lightweight C++ template library
+// for linear algebra.
+//
+// Copyright (C) 2012 Alexey Korepanov <kaikaikai@yandex.ru>
+//
+// This Source Code Form is subject to the terms of the Mozilla
+// Public License v. 2.0. If a copy of the MPL was not distributed
+// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
+
+#ifndef EIGEN_REAL_QZ_H
+#define EIGEN_REAL_QZ_H
+
+namespace Eigen {
+
+  /** \eigenvalues_module \ingroup Eigenvalues_Module
+   *
+   *
+   * \class RealQZ
+   *
+   * \brief Performs a real QZ decomposition of a pair of square matrices
+   *
+   * \tparam _MatrixType the type of the matrix of which we are computing the
+   * real QZ decomposition; this is expected to be an instantiation of the
+   * Matrix class template.
+   *
+   * Given a real square matrices A and B, this class computes the real QZ
+   * decomposition: \f$ A = Q S Z \f$, \f$ B = Q T Z \f$ where Q and Z are
+   * real orthogonal matrixes, T is upper-triangular matrix, and S is upper
+   * quasi-triangular matrix. An orthogonal matrix is a matrix whose
+   * inverse is equal to its transpose, \f$ U^{-1} = U^T \f$. A quasi-triangular
+   * matrix is a block-triangular matrix whose diagonal consists of 1-by-1
+   * blocks and 2-by-2 blocks where further reduction is impossible due to
+   * complex eigenvalues. 
+   *
+   * The eigenvalues of the pencil \f$ A - z B \f$ can be obtained from
+   * 1x1 and 2x2 blocks on the diagonals of S and T.
+   *
+   * Call the function compute() to compute the real QZ decomposition of a
+   * given pair of matrices. Alternatively, you can use the 
+   * RealQZ(const MatrixType& B, const MatrixType& B, bool computeQZ)
+   * constructor which computes the real QZ decomposition at construction
+   * time. Once the decomposition is computed, you can use the matrixS(),
+   * matrixT(), matrixQ() and matrixZ() functions to retrieve the matrices
+   * S, T, Q and Z in the decomposition. If computeQZ==false, some time
+   * is saved by not computing matrices Q and Z.
+   *
+   * Example: \include RealQZ_compute.cpp
+   * Output: \include RealQZ_compute.out
+   *
+   * \note The implementation is based on the algorithm in "Matrix Computations"
+   * by Gene H. Golub and Charles F. Van Loan, and a paper "An algorithm for
+   * generalized eigenvalue problems" by C.B.Moler and G.W.Stewart.
+   *
+   * \sa class RealSchur, class ComplexSchur, class EigenSolver, class ComplexEigenSolver
+   */
+
+  template<typename _MatrixType> class RealQZ
+  {
+    public:
+      typedef _MatrixType MatrixType;
+      enum {
+        RowsAtCompileTime = MatrixType::RowsAtCompileTime,
+        ColsAtCompileTime = MatrixType::ColsAtCompileTime,
+        Options = MatrixType::Options,
+        MaxRowsAtCompileTime = MatrixType::MaxRowsAtCompileTime,
+        MaxColsAtCompileTime = MatrixType::MaxColsAtCompileTime
+      };
+      typedef typename MatrixType::Scalar Scalar;
+      typedef std::complex<typename NumTraits<Scalar>::Real> ComplexScalar;
+      typedef Eigen::Index Index; ///< \deprecated since Eigen 3.3
+
+      typedef Matrix<ComplexScalar, ColsAtCompileTime, 1, Options & ~RowMajor, MaxColsAtCompileTime, 1> EigenvalueType;
+      typedef Matrix<Scalar, ColsAtCompileTime, 1, Options & ~RowMajor, MaxColsAtCompileTime, 1> ColumnVectorType;
+
+      /** \brief Default constructor.
+       *
+       * \param [in] size  Positive integer, size of the matrix whose QZ decomposition will be computed.
+       *
+       * The default constructor is useful in cases in which the user intends to
+       * perform decompositions via compute().  The \p size parameter is only
+       * used as a hint. It is not an error to give a wrong \p size, but it may
+       * impair performance.
+       *
+       * \sa compute() for an example.
+       */
+      explicit RealQZ(Index size = RowsAtCompileTime==Dynamic ? 1 : RowsAtCompileTime) :
+        m_S(size, size),
+        m_T(size, size),
+        m_Q(size, size),
+        m_Z(size, size),
+        m_workspace(size*2),
+        m_maxIters(400),
+        m_isInitialized(false)
+        { }
+
+      /** \brief Constructor; computes real QZ decomposition of given matrices
+       * 
+       * \param[in]  A          Matrix A.
+       * \param[in]  B          Matrix B.
+       * \param[in]  computeQZ  If false, A and Z are not computed.
+       *
+       * This constructor calls compute() to compute the QZ decomposition.
+       */
+      RealQZ(const MatrixType& A, const MatrixType& B, bool computeQZ = true) :
+        m_S(A.rows(),A.cols()),
+        m_T(A.rows(),A.cols()),
+        m_Q(A.rows(),A.cols()),
+        m_Z(A.rows(),A.cols()),
+        m_workspace(A.rows()*2),
+        m_maxIters(400),
+        m_isInitialized(false) {
+          compute(A, B, computeQZ);
+        }
+
+      /** \brief Returns matrix Q in the QZ decomposition. 
+       *
+       * \returns A const reference to the matrix Q.
+       */
+      const MatrixType& matrixQ() const {
+        eigen_assert(m_isInitialized && "RealQZ is not initialized.");
+        eigen_assert(m_computeQZ && "The matrices Q and Z have not been computed during the QZ decomposition.");
+        return m_Q;
+      }
+
+      /** \brief Returns matrix Z in the QZ decomposition. 
+       *
+       * \returns A const reference to the matrix Z.
+       */
+      const MatrixType& matrixZ() const {
+        eigen_assert(m_isInitialized && "RealQZ is not initialized.");
+        eigen_assert(m_computeQZ && "The matrices Q and Z have not been computed during the QZ decomposition.");
+        return m_Z;
+      }
+
+      /** \brief Returns matrix S in the QZ decomposition. 
+       *
+       * \returns A const reference to the matrix S.
+       */
+      const MatrixType& matrixS() const {
+        eigen_assert(m_isInitialized && "RealQZ is not initialized.");
+        return m_S;
+      }
+
+      /** \brief Returns matrix S in the QZ decomposition. 
+       *
+       * \returns A const reference to the matrix S.
+       */
+      const MatrixType& matrixT() const {
+        eigen_assert(m_isInitialized && "RealQZ is not initialized.");
+        return m_T;
+      }
+
+      /** \brief Computes QZ decomposition of given matrix. 
+       * 
+       * \param[in]  A          Matrix A.
+       * \param[in]  B          Matrix B.
+       * \param[in]  computeQZ  If false, A and Z are not computed.
+       * \returns    Reference to \c *this
+       */
+      RealQZ& compute(const MatrixType& A, const MatrixType& B, bool computeQZ = true);
+
+      /** \brief Reports whether previous computation was successful.
+       *
+       * \returns \c Success if computation was succesful, \c NoConvergence otherwise.
+       */
+      ComputationInfo info() const
+      {
+        eigen_assert(m_isInitialized && "RealQZ is not initialized.");
+        return m_info;
+      }
+
+      /** \brief Returns number of performed QR-like iterations.
+      */
+      Index iterations() const
+      {
+        eigen_assert(m_isInitialized && "RealQZ is not initialized.");
+        return m_global_iter;
+      }
+
+      /** Sets the maximal number of iterations allowed to converge to one eigenvalue
+       * or decouple the problem.
+      */
+      RealQZ& setMaxIterations(Index maxIters)
+      {
+        m_maxIters = maxIters;
+        return *this;
+      }
+
+    private:
+
+      MatrixType m_S, m_T, m_Q, m_Z;
+      Matrix<Scalar,Dynamic,1> m_workspace;
+      ComputationInfo m_info;
+      Index m_maxIters;
+      bool m_isInitialized;
+      bool m_computeQZ;
+      Scalar m_normOfT, m_normOfS;
+      Index m_global_iter;
+
+      typedef Matrix<Scalar,3,1> Vector3s;
+      typedef Matrix<Scalar,2,1> Vector2s;
+      typedef Matrix<Scalar,2,2> Matrix2s;
+      typedef JacobiRotation<Scalar> JRs;
+
+      void hessenbergTriangular();
+      void computeNorms();
+      Index findSmallSubdiagEntry(Index iu);
+      Index findSmallDiagEntry(Index f, Index l);
+      void splitOffTwoRows(Index i);
+      void pushDownZero(Index z, Index f, Index l);
+      void step(Index f, Index l, Index iter);
+
+  }; // RealQZ
+
+  /** \internal Reduces S and T to upper Hessenberg - triangular form */
+  template<typename MatrixType>
+    void RealQZ<MatrixType>::hessenbergTriangular()
+    {
+
+      const Index dim = m_S.cols();
+
+      // perform QR decomposition of T, overwrite T with R, save Q
+      HouseholderQR<MatrixType> qrT(m_T);
+      m_T = qrT.matrixQR();
+      m_T.template triangularView<StrictlyLower>().setZero();
+      m_Q = qrT.householderQ();
+      // overwrite S with Q* S
+      m_S.applyOnTheLeft(m_Q.adjoint());
+      // init Z as Identity
+      if (m_computeQZ)
+        m_Z = MatrixType::Identity(dim,dim);
+      // reduce S to upper Hessenberg with Givens rotations
+      for (Index j=0; j<=dim-3; j++) {
+        for (Index i=dim-1; i>=j+2; i--) {
+          JRs G;
+          // kill S(i,j)
+          if(m_S.coeff(i,j) != 0)
+          {
+            G.makeGivens(m_S.coeff(i-1,j), m_S.coeff(i,j), &m_S.coeffRef(i-1, j));
+            m_S.coeffRef(i,j) = Scalar(0.0);
+            m_S.rightCols(dim-j-1).applyOnTheLeft(i-1,i,G.adjoint());
+            m_T.rightCols(dim-i+1).applyOnTheLeft(i-1,i,G.adjoint());
+            // update Q
+            if (m_computeQZ)
+              m_Q.applyOnTheRight(i-1,i,G);
+          }
+          // kill T(i,i-1)
+          if(m_T.coeff(i,i-1)!=Scalar(0))
+          {
+            G.makeGivens(m_T.coeff(i,i), m_T.coeff(i,i-1), &m_T.coeffRef(i,i));
+            m_T.coeffRef(i,i-1) = Scalar(0.0);
+            m_S.applyOnTheRight(i,i-1,G);
+            m_T.topRows(i).applyOnTheRight(i,i-1,G);
+            // update Z
+            if (m_computeQZ)
+              m_Z.applyOnTheLeft(i,i-1,G.adjoint());
+          }
+        }
+      }
+    }
+
+  /** \internal Computes vector L1 norms of S and T when in Hessenberg-Triangular form already */
+  template<typename MatrixType>
+    inline void RealQZ<MatrixType>::computeNorms()
+    {
+      const Index size = m_S.cols();
+      m_normOfS = Scalar(0.0);
+      m_normOfT = Scalar(0.0);
+      for (Index j = 0; j < size; ++j)
+      {
+        m_normOfS += m_S.col(j).segment(0, (std::min)(size,j+2)).cwiseAbs().sum();
+        m_normOfT += m_T.row(j).segment(j, size - j).cwiseAbs().sum();
+      }
+    }
+
+
+  /** \internal Look for single small sub-diagonal element S(res, res-1) and return res (or 0) */
+  template<typename MatrixType>
+    inline Index RealQZ<MatrixType>::findSmallSubdiagEntry(Index iu)
+    {
+      using std::abs;
+      Index res = iu;
+      while (res > 0)
+      {
+        Scalar s = abs(m_S.coeff(res-1,res-1)) + abs(m_S.coeff(res,res));
+        if (s == Scalar(0.0))
+          s = m_normOfS;
+        if (abs(m_S.coeff(res,res-1)) < NumTraits<Scalar>::epsilon() * s)
+          break;
+        res--;
+      }
+      return res;
+    }
+
+  /** \internal Look for single small diagonal element T(res, res) for res between f and l, and return res (or f-1)  */
+  template<typename MatrixType>
+    inline Index RealQZ<MatrixType>::findSmallDiagEntry(Index f, Index l)
+    {
+      using std::abs;
+      Index res = l;
+      while (res >= f) {
+        if (abs(m_T.coeff(res,res)) <= NumTraits<Scalar>::epsilon() * m_normOfT)
+          break;
+        res--;
+      }
+      return res;
+    }
+
+  /** \internal decouple 2x2 diagonal block in rows i, i+1 if eigenvalues are real */
+  template<typename MatrixType>
+    inline void RealQZ<MatrixType>::splitOffTwoRows(Index i)
+    {
+      using std::abs;
+      using std::sqrt;
+      const Index dim=m_S.cols();
+      if (abs(m_S.coeff(i+1,i))==Scalar(0))
+        return;
+      Index j = findSmallDiagEntry(i,i+1);
+      if (j==i-1)
+      {
+        // block of (S T^{-1})
+        Matrix2s STi = m_T.template block<2,2>(i,i).template triangularView<Upper>().
+          template solve<OnTheRight>(m_S.template block<2,2>(i,i));
+        Scalar p = Scalar(0.5)*(STi(0,0)-STi(1,1));
+        Scalar q = p*p + STi(1,0)*STi(0,1);
+        if (q>=0) {
+          Scalar z = sqrt(q);
+          // one QR-like iteration for ABi - lambda I
+          // is enough - when we know exact eigenvalue in advance,
+          // convergence is immediate
+          JRs G;
+          if (p>=0)
+            G.makeGivens(p + z, STi(1,0));
+          else
+            G.makeGivens(p - z, STi(1,0));
+          m_S.rightCols(dim-i).applyOnTheLeft(i,i+1,G.adjoint());
+          m_T.rightCols(dim-i).applyOnTheLeft(i,i+1,G.adjoint());
+          // update Q
+          if (m_computeQZ)
+            m_Q.applyOnTheRight(i,i+1,G);
+
+          G.makeGivens(m_T.coeff(i+1,i+1), m_T.coeff(i+1,i));
+          m_S.topRows(i+2).applyOnTheRight(i+1,i,G);
+          m_T.topRows(i+2).applyOnTheRight(i+1,i,G);
+          // update Z
+          if (m_computeQZ)
+            m_Z.applyOnTheLeft(i+1,i,G.adjoint());
+
+          m_S.coeffRef(i+1,i) = Scalar(0.0);
+          m_T.coeffRef(i+1,i) = Scalar(0.0);
+        }
+      }
+      else
+      {
+        pushDownZero(j,i,i+1);
+      }
+    }
+
+  /** \internal use zero in T(z,z) to zero S(l,l-1), working in block f..l */
+  template<typename MatrixType>
+    inline void RealQZ<MatrixType>::pushDownZero(Index z, Index f, Index l)
+    {
+      JRs G;
+      const Index dim = m_S.cols();
+      for (Index zz=z; zz<l; zz++)
+      {
+        // push 0 down
+        Index firstColS = zz>f ? (zz-1) : zz;
+        G.makeGivens(m_T.coeff(zz, zz+1), m_T.coeff(zz+1, zz+1));
+        m_S.rightCols(dim-firstColS).applyOnTheLeft(zz,zz+1,G.adjoint());
+        m_T.rightCols(dim-zz).applyOnTheLeft(zz,zz+1,G.adjoint());
+        m_T.coeffRef(zz+1,zz+1) = Scalar(0.0);
+        // update Q
+        if (m_computeQZ)
+          m_Q.applyOnTheRight(zz,zz+1,G);
+        // kill S(zz+1, zz-1)
+        if (zz>f)
+        {
+          G.makeGivens(m_S.coeff(zz+1, zz), m_S.coeff(zz+1,zz-1));
+          m_S.topRows(zz+2).applyOnTheRight(zz, zz-1,G);
+          m_T.topRows(zz+1).applyOnTheRight(zz, zz-1,G);
+          m_S.coeffRef(zz+1,zz-1) = Scalar(0.0);
+          // update Z
+          if (m_computeQZ)
+            m_Z.applyOnTheLeft(zz,zz-1,G.adjoint());
+        }
+      }
+      // finally kill S(l,l-1)
+      G.makeGivens(m_S.coeff(l,l), m_S.coeff(l,l-1));
+      m_S.applyOnTheRight(l,l-1,G);
+      m_T.applyOnTheRight(l,l-1,G);
+      m_S.coeffRef(l,l-1)=Scalar(0.0);
+      // update Z
+      if (m_computeQZ)
+        m_Z.applyOnTheLeft(l,l-1,G.adjoint());
+    }
+
+  /** \internal QR-like iterative step for block f..l */
+  template<typename MatrixType>
+    inline void RealQZ<MatrixType>::step(Index f, Index l, Index iter)
+    {
+      using std::abs;
+      const Index dim = m_S.cols();
+
+      // x, y, z
+      Scalar x, y, z;
+      if (iter==10)
+      {
+        // Wilkinson ad hoc shift
+        const Scalar
+          a11=m_S.coeff(f+0,f+0), a12=m_S.coeff(f+0,f+1),
+          a21=m_S.coeff(f+1,f+0), a22=m_S.coeff(f+1,f+1), a32=m_S.coeff(f+2,f+1),
+          b12=m_T.coeff(f+0,f+1),
+          b11i=Scalar(1.0)/m_T.coeff(f+0,f+0),
+          b22i=Scalar(1.0)/m_T.coeff(f+1,f+1),
+          a87=m_S.coeff(l-1,l-2),
+          a98=m_S.coeff(l-0,l-1),
+          b77i=Scalar(1.0)/m_T.coeff(l-2,l-2),
+          b88i=Scalar(1.0)/m_T.coeff(l-1,l-1);
+        Scalar ss = abs(a87*b77i) + abs(a98*b88i),
+               lpl = Scalar(1.5)*ss,
+               ll = ss*ss;
+        x = ll + a11*a11*b11i*b11i - lpl*a11*b11i + a12*a21*b11i*b22i
+          - a11*a21*b12*b11i*b11i*b22i;
+        y = a11*a21*b11i*b11i - lpl*a21*b11i + a21*a22*b11i*b22i 
+          - a21*a21*b12*b11i*b11i*b22i;
+        z = a21*a32*b11i*b22i;
+      }
+      else if (iter==16)
+      {
+        // another exceptional shift
+        x = m_S.coeff(f,f)/m_T.coeff(f,f)-m_S.coeff(l,l)/m_T.coeff(l,l) + m_S.coeff(l,l-1)*m_T.coeff(l-1,l) /
+          (m_T.coeff(l-1,l-1)*m_T.coeff(l,l));
+        y = m_S.coeff(f+1,f)/m_T.coeff(f,f);
+        z = 0;
+      }
+      else if (iter>23 && !(iter%8))
+      {
+        // extremely exceptional shift
+        x = internal::random<Scalar>(-1.0,1.0);
+        y = internal::random<Scalar>(-1.0,1.0);
+        z = internal::random<Scalar>(-1.0,1.0);
+      }
+      else
+      {
+        // Compute the shifts: (x,y,z,0...) = (AB^-1 - l1 I) (AB^-1 - l2 I) e1
+        // where l1 and l2 are the eigenvalues of the 2x2 matrix C = U V^-1 where
+        // U and V are 2x2 bottom right sub matrices of A and B. Thus:
+        //  = AB^-1AB^-1 + l1 l2 I - (l1+l2)(AB^-1)
+        //  = AB^-1AB^-1 + det(M) - tr(M)(AB^-1)
+        // Since we are only interested in having x, y, z with a correct ratio, we have:
+        const Scalar
+          a11 = m_S.coeff(f,f),     a12 = m_S.coeff(f,f+1),
+          a21 = m_S.coeff(f+1,f),   a22 = m_S.coeff(f+1,f+1),
+                                    a32 = m_S.coeff(f+2,f+1),
+
+          a88 = m_S.coeff(l-1,l-1), a89 = m_S.coeff(l-1,l),
+          a98 = m_S.coeff(l,l-1),   a99 = m_S.coeff(l,l),
+
+          b11 = m_T.coeff(f,f),     b12 = m_T.coeff(f,f+1),
+                                    b22 = m_T.coeff(f+1,f+1),
+
+          b88 = m_T.coeff(l-1,l-1), b89 = m_T.coeff(l-1,l),
+                                    b99 = m_T.coeff(l,l);
+
+        x = ( (a88/b88 - a11/b11)*(a99/b99 - a11/b11) - (a89/b99)*(a98/b88) + (a98/b88)*(b89/b99)*(a11/b11) ) * (b11/a21)
+          + a12/b22 - (a11/b11)*(b12/b22);
+        y = (a22/b22-a11/b11) - (a21/b11)*(b12/b22) - (a88/b88-a11/b11) - (a99/b99-a11/b11) + (a98/b88)*(b89/b99);
+        z = a32/b22;
+      }
+
+      JRs G;
+
+      for (Index k=f; k<=l-2; k++)
+      {
+        // variables for Householder reflections
+        Vector2s essential2;
+        Scalar tau, beta;
+
+        Vector3s hr(x,y,z);
+
+        // Q_k to annihilate S(k+1,k-1) and S(k+2,k-1)
+        hr.makeHouseholderInPlace(tau, beta);
+        essential2 = hr.template bottomRows<2>();
+        Index fc=(std::max)(k-1,Index(0));  // first col to update
+        m_S.template middleRows<3>(k).rightCols(dim-fc).applyHouseholderOnTheLeft(essential2, tau, m_workspace.data());
+        m_T.template middleRows<3>(k).rightCols(dim-fc).applyHouseholderOnTheLeft(essential2, tau, m_workspace.data());
+        if (m_computeQZ)
+          m_Q.template middleCols<3>(k).applyHouseholderOnTheRight(essential2, tau, m_workspace.data());
+        if (k>f)
+          m_S.coeffRef(k+2,k-1) = m_S.coeffRef(k+1,k-1) = Scalar(0.0);
+
+        // Z_{k1} to annihilate T(k+2,k+1) and T(k+2,k)
+        hr << m_T.coeff(k+2,k+2),m_T.coeff(k+2,k),m_T.coeff(k+2,k+1);
+        hr.makeHouseholderInPlace(tau, beta);
+        essential2 = hr.template bottomRows<2>();
+        {
+          Index lr = (std::min)(k+4,dim); // last row to update
+          Map<Matrix<Scalar,Dynamic,1> > tmp(m_workspace.data(),lr);
+          // S
+          tmp = m_S.template middleCols<2>(k).topRows(lr) * essential2;
+          tmp += m_S.col(k+2).head(lr);
+          m_S.col(k+2).head(lr) -= tau*tmp;
+          m_S.template middleCols<2>(k).topRows(lr) -= (tau*tmp) * essential2.adjoint();
+          // T
+          tmp = m_T.template middleCols<2>(k).topRows(lr) * essential2;
+          tmp += m_T.col(k+2).head(lr);
+          m_T.col(k+2).head(lr) -= tau*tmp;
+          m_T.template middleCols<2>(k).topRows(lr) -= (tau*tmp) * essential2.adjoint();
+        }
+        if (m_computeQZ)
+        {
+          // Z
+          Map<Matrix<Scalar,1,Dynamic> > tmp(m_workspace.data(),dim);
+          tmp = essential2.adjoint()*(m_Z.template middleRows<2>(k));
+          tmp += m_Z.row(k+2);
+          m_Z.row(k+2) -= tau*tmp;
+          m_Z.template middleRows<2>(k) -= essential2 * (tau*tmp);
+        }
+        m_T.coeffRef(k+2,k) = m_T.coeffRef(k+2,k+1) = Scalar(0.0);
+
+        // Z_{k2} to annihilate T(k+1,k)
+        G.makeGivens(m_T.coeff(k+1,k+1), m_T.coeff(k+1,k));
+        m_S.applyOnTheRight(k+1,k,G);
+        m_T.applyOnTheRight(k+1,k,G);
+        // update Z
+        if (m_computeQZ)
+          m_Z.applyOnTheLeft(k+1,k,G.adjoint());
+        m_T.coeffRef(k+1,k) = Scalar(0.0);
+
+        // update x,y,z
+        x = m_S.coeff(k+1,k);
+        y = m_S.coeff(k+2,k);
+        if (k < l-2)
+          z = m_S.coeff(k+3,k);
+      } // loop over k
+
+      // Q_{n-1} to annihilate y = S(l,l-2)
+      G.makeGivens(x,y);
+      m_S.applyOnTheLeft(l-1,l,G.adjoint());
+      m_T.applyOnTheLeft(l-1,l,G.adjoint());
+      if (m_computeQZ)
+        m_Q.applyOnTheRight(l-1,l,G);
+      m_S.coeffRef(l,l-2) = Scalar(0.0);
+
+      // Z_{n-1} to annihilate T(l,l-1)
+      G.makeGivens(m_T.coeff(l,l),m_T.coeff(l,l-1));
+      m_S.applyOnTheRight(l,l-1,G);
+      m_T.applyOnTheRight(l,l-1,G);
+      if (m_computeQZ)
+        m_Z.applyOnTheLeft(l,l-1,G.adjoint());
+      m_T.coeffRef(l,l-1) = Scalar(0.0);
+    }
+
+  template<typename MatrixType>
+    RealQZ<MatrixType>& RealQZ<MatrixType>::compute(const MatrixType& A_in, const MatrixType& B_in, bool computeQZ)
+    {
+
+      const Index dim = A_in.cols();
+
+      eigen_assert (A_in.rows()==dim && A_in.cols()==dim 
+          && B_in.rows()==dim && B_in.cols()==dim 
+          && "Need square matrices of the same dimension");
+
+      m_isInitialized = true;
+      m_computeQZ = computeQZ;
+      m_S = A_in; m_T = B_in;
+      m_workspace.resize(dim*2);
+      m_global_iter = 0;
+
+      // entrance point: hessenberg triangular decomposition
+      hessenbergTriangular();
+      // compute L1 vector norms of T, S into m_normOfS, m_normOfT
+      computeNorms();
+
+      Index l = dim-1, 
+            f, 
+            local_iter = 0;
+
+      while (l>0 && local_iter<m_maxIters)
+      {
+        f = findSmallSubdiagEntry(l);
+        // now rows and columns f..l (including) decouple from the rest of the problem
+        if (f>0) m_S.coeffRef(f,f-1) = Scalar(0.0);
+        if (f == l) // One root found
+        {
+          l--;
+          local_iter = 0;
+        }
+        else if (f == l-1) // Two roots found
+        {
+          splitOffTwoRows(f);
+          l -= 2;
+          local_iter = 0;
+        }
+        else // No convergence yet
+        {
+          // if there's zero on diagonal of T, we can isolate an eigenvalue with Givens rotations
+          Index z = findSmallDiagEntry(f,l);
+          if (z>=f)
+          {
+            // zero found
+            pushDownZero(z,f,l);
+          }
+          else
+          {
+            // We are sure now that S.block(f,f, l-f+1,l-f+1) is underuced upper-Hessenberg 
+            // and T.block(f,f, l-f+1,l-f+1) is invertible uper-triangular, which allows to
+            // apply a QR-like iteration to rows and columns f..l.
+            step(f,l, local_iter);
+            local_iter++;
+            m_global_iter++;
+          }
+        }
+      }
+      // check if we converged before reaching iterations limit
+      m_info = (local_iter<m_maxIters) ? Success : NoConvergence;
+
+      // For each non triangular 2x2 diagonal block of S,
+      //    reduce the respective 2x2 diagonal block of T to positive diagonal form using 2x2 SVD.
+      // This step is not mandatory for QZ, but it does help further extraction of eigenvalues/eigenvectors,
+      // and is in par with Lapack/Matlab QZ.
+      if(m_info==Success)
+      {
+        for(Index i=0; i<dim-1; ++i)
+        {
+          if(m_S.coeff(i+1, i) != Scalar(0))
+          {
+            JacobiRotation<Scalar> j_left, j_right;
+            internal::real_2x2_jacobi_svd(m_T, i, i+1, &j_left, &j_right);
+
+            // Apply resulting Jacobi rotations
+            m_S.applyOnTheLeft(i,i+1,j_left);
+            m_S.applyOnTheRight(i,i+1,j_right);
+            m_T.applyOnTheLeft(i,i+1,j_left);
+            m_T.applyOnTheRight(i,i+1,j_right);
+            m_T(i+1,i) = m_T(i,i+1) = Scalar(0);
+
+            if(m_computeQZ) {
+              m_Q.applyOnTheRight(i,i+1,j_left.transpose());
+              m_Z.applyOnTheLeft(i,i+1,j_right.transpose());
+            }
+
+            i++;
+          }
+        }
+      }
+
+      return *this;
+    } // end compute
+
+} // end namespace Eigen
+
+#endif //EIGEN_REAL_QZ
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Eigenvalues/GeneralizedSelfAdjointEigenSolver.h
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Eigenvalues/GeneralizedSelfAdjointEigenSolver.h	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Eigenvalues/GeneralizedSelfAdjointEigenSolver.h	(revision 3761)
@@ -0,0 +1,226 @@
+// This file is part of Eigen, a lightweight C++ template library
+// for linear algebra.
+//
+// Copyright (C) 2008-2010 Gael Guennebaud <gael.guennebaud@inria.fr>
+// Copyright (C) 2010 Jitse Niesen <jitse@maths.leeds.ac.uk>
+//
+// This Source Code Form is subject to the terms of the Mozilla
+// Public License v. 2.0. If a copy of the MPL was not distributed
+// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
+
+#ifndef EIGEN_GENERALIZEDSELFADJOINTEIGENSOLVER_H
+#define EIGEN_GENERALIZEDSELFADJOINTEIGENSOLVER_H
+
+#include "./Tridiagonalization.h"
+
+namespace Eigen { 
+
+/** \eigenvalues_module \ingroup Eigenvalues_Module
+  *
+  *
+  * \class GeneralizedSelfAdjointEigenSolver
+  *
+  * \brief Computes eigenvalues and eigenvectors of the generalized selfadjoint eigen problem
+  *
+  * \tparam _MatrixType the type of the matrix of which we are computing the
+  * eigendecomposition; this is expected to be an instantiation of the Matrix
+  * class template.
+  *
+  * This class solves the generalized eigenvalue problem
+  * \f$ Av = \lambda Bv \f$. In this case, the matrix \f$ A \f$ should be
+  * selfadjoint and the matrix \f$ B \f$ should be positive definite.
+  *
+  * Only the \b lower \b triangular \b part of the input matrix is referenced.
+  *
+  * Call the function compute() to compute the eigenvalues and eigenvectors of
+  * a given matrix. Alternatively, you can use the
+  * GeneralizedSelfAdjointEigenSolver(const MatrixType&, const MatrixType&, int)
+  * constructor which computes the eigenvalues and eigenvectors at construction time.
+  * Once the eigenvalue and eigenvectors are computed, they can be retrieved with the eigenvalues()
+  * and eigenvectors() functions.
+  *
+  * The documentation for GeneralizedSelfAdjointEigenSolver(const MatrixType&, const MatrixType&, int)
+  * contains an example of the typical use of this class.
+  *
+  * \sa class SelfAdjointEigenSolver, class EigenSolver, class ComplexEigenSolver
+  */
+template<typename _MatrixType>
+class GeneralizedSelfAdjointEigenSolver : public SelfAdjointEigenSolver<_MatrixType>
+{
+    typedef SelfAdjointEigenSolver<_MatrixType> Base;
+  public:
+
+    typedef _MatrixType MatrixType;
+
+    /** \brief Default constructor for fixed-size matrices.
+      *
+      * The default constructor is useful in cases in which the user intends to
+      * perform decompositions via compute(). This constructor
+      * can only be used if \p _MatrixType is a fixed-size matrix; use
+      * GeneralizedSelfAdjointEigenSolver(Index) for dynamic-size matrices.
+      */
+    GeneralizedSelfAdjointEigenSolver() : Base() {}
+
+    /** \brief Constructor, pre-allocates memory for dynamic-size matrices.
+      *
+      * \param [in]  size  Positive integer, size of the matrix whose
+      * eigenvalues and eigenvectors will be computed.
+      *
+      * This constructor is useful for dynamic-size matrices, when the user
+      * intends to perform decompositions via compute(). The \p size
+      * parameter is only used as a hint. It is not an error to give a wrong
+      * \p size, but it may impair performance.
+      *
+      * \sa compute() for an example
+      */
+    explicit GeneralizedSelfAdjointEigenSolver(Index size)
+        : Base(size)
+    {}
+
+    /** \brief Constructor; computes generalized eigendecomposition of given matrix pencil.
+      *
+      * \param[in]  matA  Selfadjoint matrix in matrix pencil.
+      *                   Only the lower triangular part of the matrix is referenced.
+      * \param[in]  matB  Positive-definite matrix in matrix pencil.
+      *                   Only the lower triangular part of the matrix is referenced.
+      * \param[in]  options A or-ed set of flags {#ComputeEigenvectors,#EigenvaluesOnly} | {#Ax_lBx,#ABx_lx,#BAx_lx}.
+      *                     Default is #ComputeEigenvectors|#Ax_lBx.
+      *
+      * This constructor calls compute(const MatrixType&, const MatrixType&, int)
+      * to compute the eigenvalues and (if requested) the eigenvectors of the
+      * generalized eigenproblem \f$ Ax = \lambda B x \f$ with \a matA the
+      * selfadjoint matrix \f$ A \f$ and \a matB the positive definite matrix
+      * \f$ B \f$. Each eigenvector \f$ x \f$ satisfies the property
+      * \f$ x^* B x = 1 \f$. The eigenvectors are computed if
+      * \a options contains ComputeEigenvectors.
+      *
+      * In addition, the two following variants can be solved via \p options:
+      * - \c ABx_lx: \f$ ABx = \lambda x \f$
+      * - \c BAx_lx: \f$ BAx = \lambda x \f$
+      *
+      * Example: \include SelfAdjointEigenSolver_SelfAdjointEigenSolver_MatrixType2.cpp
+      * Output: \verbinclude SelfAdjointEigenSolver_SelfAdjointEigenSolver_MatrixType2.out
+      *
+      * \sa compute(const MatrixType&, const MatrixType&, int)
+      */
+    GeneralizedSelfAdjointEigenSolver(const MatrixType& matA, const MatrixType& matB,
+                                      int options = ComputeEigenvectors|Ax_lBx)
+      : Base(matA.cols())
+    {
+      compute(matA, matB, options);
+    }
+
+    /** \brief Computes generalized eigendecomposition of given matrix pencil.
+      *
+      * \param[in]  matA  Selfadjoint matrix in matrix pencil.
+      *                   Only the lower triangular part of the matrix is referenced.
+      * \param[in]  matB  Positive-definite matrix in matrix pencil.
+      *                   Only the lower triangular part of the matrix is referenced.
+      * \param[in]  options A or-ed set of flags {#ComputeEigenvectors,#EigenvaluesOnly} | {#Ax_lBx,#ABx_lx,#BAx_lx}.
+      *                     Default is #ComputeEigenvectors|#Ax_lBx.
+      *
+      * \returns    Reference to \c *this
+      *
+      * Accoring to \p options, this function computes eigenvalues and (if requested)
+      * the eigenvectors of one of the following three generalized eigenproblems:
+      * - \c Ax_lBx: \f$ Ax = \lambda B x \f$
+      * - \c ABx_lx: \f$ ABx = \lambda x \f$
+      * - \c BAx_lx: \f$ BAx = \lambda x \f$
+      * with \a matA the selfadjoint matrix \f$ A \f$ and \a matB the positive definite
+      * matrix \f$ B \f$.
+      * In addition, each eigenvector \f$ x \f$ satisfies the property \f$ x^* B x = 1 \f$.
+      *
+      * The eigenvalues() function can be used to retrieve
+      * the eigenvalues. If \p options contains ComputeEigenvectors, then the
+      * eigenvectors are also computed and can be retrieved by calling
+      * eigenvectors().
+      *
+      * The implementation uses LLT to compute the Cholesky decomposition
+      * \f$ B = LL^* \f$ and computes the classical eigendecomposition
+      * of the selfadjoint matrix \f$ L^{-1} A (L^*)^{-1} \f$ if \p options contains Ax_lBx
+      * and of \f$ L^{*} A L \f$ otherwise. This solves the
+      * generalized eigenproblem, because any solution of the generalized
+      * eigenproblem \f$ Ax = \lambda B x \f$ corresponds to a solution
+      * \f$ L^{-1} A (L^*)^{-1} (L^* x) = \lambda (L^* x) \f$ of the
+      * eigenproblem for \f$ L^{-1} A (L^*)^{-1} \f$. Similar statements
+      * can be made for the two other variants.
+      *
+      * Example: \include SelfAdjointEigenSolver_compute_MatrixType2.cpp
+      * Output: \verbinclude SelfAdjointEigenSolver_compute_MatrixType2.out
+      *
+      * \sa GeneralizedSelfAdjointEigenSolver(const MatrixType&, const MatrixType&, int)
+      */
+    GeneralizedSelfAdjointEigenSolver& compute(const MatrixType& matA, const MatrixType& matB,
+                                               int options = ComputeEigenvectors|Ax_lBx);
+
+  protected:
+
+};
+
+
+template<typename MatrixType>
+GeneralizedSelfAdjointEigenSolver<MatrixType>& GeneralizedSelfAdjointEigenSolver<MatrixType>::
+compute(const MatrixType& matA, const MatrixType& matB, int options)
+{
+  eigen_assert(matA.cols()==matA.rows() && matB.rows()==matA.rows() && matB.cols()==matB.rows());
+  eigen_assert((options&~(EigVecMask|GenEigMask))==0
+          && (options&EigVecMask)!=EigVecMask
+          && ((options&GenEigMask)==0 || (options&GenEigMask)==Ax_lBx
+           || (options&GenEigMask)==ABx_lx || (options&GenEigMask)==BAx_lx)
+          && "invalid option parameter");
+
+  bool computeEigVecs = ((options&EigVecMask)==0) || ((options&EigVecMask)==ComputeEigenvectors);
+
+  // Compute the cholesky decomposition of matB = L L' = U'U
+  LLT<MatrixType> cholB(matB);
+
+  int type = (options&GenEigMask);
+  if(type==0)
+    type = Ax_lBx;
+
+  if(type==Ax_lBx)
+  {
+    // compute C = inv(L) A inv(L')
+    MatrixType matC = matA.template selfadjointView<Lower>();
+    cholB.matrixL().template solveInPlace<OnTheLeft>(matC);
+    cholB.matrixU().template solveInPlace<OnTheRight>(matC);
+
+    Base::compute(matC, computeEigVecs ? ComputeEigenvectors : EigenvaluesOnly );
+
+    // transform back the eigen vectors: evecs = inv(U) * evecs
+    if(computeEigVecs)
+      cholB.matrixU().solveInPlace(Base::m_eivec);
+  }
+  else if(type==ABx_lx)
+  {
+    // compute C = L' A L
+    MatrixType matC = matA.template selfadjointView<Lower>();
+    matC = matC * cholB.matrixL();
+    matC = cholB.matrixU() * matC;
+
+    Base::compute(matC, computeEigVecs ? ComputeEigenvectors : EigenvaluesOnly);
+
+    // transform back the eigen vectors: evecs = inv(U) * evecs
+    if(computeEigVecs)
+      cholB.matrixU().solveInPlace(Base::m_eivec);
+  }
+  else if(type==BAx_lx)
+  {
+    // compute C = L' A L
+    MatrixType matC = matA.template selfadjointView<Lower>();
+    matC = matC * cholB.matrixL();
+    matC = cholB.matrixU() * matC;
+
+    Base::compute(matC, computeEigVecs ? ComputeEigenvectors : EigenvaluesOnly);
+
+    // transform back the eigen vectors: evecs = L * evecs
+    if(computeEigVecs)
+      Base::m_eivec = cholB.matrixL() * Base::m_eivec;
+  }
+
+  return *this;
+}
+
+} // end namespace Eigen
+
+#endif // EIGEN_GENERALIZEDSELFADJOINTEIGENSOLVER_H
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h	(revision 3761)
@@ -0,0 +1,622 @@
+// This file is part of Eigen, a lightweight C++ template library
+// for linear algebra.
+//
+// Copyright (C) 2008 Gael Guennebaud <gael.guennebaud@inria.fr>
+// Copyright (C) 2010,2012 Jitse Niesen <jitse@maths.leeds.ac.uk>
+//
+// This Source Code Form is subject to the terms of the Mozilla
+// Public License v. 2.0. If a copy of the MPL was not distributed
+// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
+
+#ifndef EIGEN_EIGENSOLVER_H
+#define EIGEN_EIGENSOLVER_H
+
+#include "./RealSchur.h"
+
+namespace Eigen { 
+
+/** \eigenvalues_module \ingroup Eigenvalues_Module
+  *
+  *
+  * \class EigenSolver
+  *
+  * \brief Computes eigenvalues and eigenvectors of general matrices
+  *
+  * \tparam _MatrixType the type of the matrix of which we are computing the
+  * eigendecomposition; this is expected to be an instantiation of the Matrix
+  * class template. Currently, only real matrices are supported.
+  *
+  * The eigenvalues and eigenvectors of a matrix \f$ A \f$ are scalars
+  * \f$ \lambda \f$ and vectors \f$ v \f$ such that \f$ Av = \lambda v \f$.  If
+  * \f$ D \f$ is a diagonal matrix with the eigenvalues on the diagonal, and
+  * \f$ V \f$ is a matrix with the eigenvectors as its columns, then \f$ A V =
+  * V D \f$. The matrix \f$ V \f$ is almost always invertible, in which case we
+  * have \f$ A = V D V^{-1} \f$. This is called the eigendecomposition.
+  *
+  * The eigenvalues and eigenvectors of a matrix may be complex, even when the
+  * matrix is real. However, we can choose real matrices \f$ V \f$ and \f$ D
+  * \f$ satisfying \f$ A V = V D \f$, just like the eigendecomposition, if the
+  * matrix \f$ D \f$ is not required to be diagonal, but if it is allowed to
+  * have blocks of the form
+  * \f[ \begin{bmatrix} u & v \\ -v & u \end{bmatrix} \f]
+  * (where \f$ u \f$ and \f$ v \f$ are real numbers) on the diagonal.  These
+  * blocks correspond to complex eigenvalue pairs \f$ u \pm iv \f$. We call
+  * this variant of the eigendecomposition the pseudo-eigendecomposition.
+  *
+  * Call the function compute() to compute the eigenvalues and eigenvectors of
+  * a given matrix. Alternatively, you can use the 
+  * EigenSolver(const MatrixType&, bool) constructor which computes the
+  * eigenvalues and eigenvectors at construction time. Once the eigenvalue and
+  * eigenvectors are computed, they can be retrieved with the eigenvalues() and
+  * eigenvectors() functions. The pseudoEigenvalueMatrix() and
+  * pseudoEigenvectors() methods allow the construction of the
+  * pseudo-eigendecomposition.
+  *
+  * The documentation for EigenSolver(const MatrixType&, bool) contains an
+  * example of the typical use of this class.
+  *
+  * \note The implementation is adapted from
+  * <a href="http://math.nist.gov/javanumerics/jama/">JAMA</a> (public domain).
+  * Their code is based on EISPACK.
+  *
+  * \sa MatrixBase::eigenvalues(), class ComplexEigenSolver, class SelfAdjointEigenSolver
+  */
+template<typename _MatrixType> class EigenSolver
+{
+  public:
+
+    /** \brief Synonym for the template parameter \p _MatrixType. */
+    typedef _MatrixType MatrixType;
+
+    enum {
+      RowsAtCompileTime = MatrixType::RowsAtCompileTime,
+      ColsAtCompileTime = MatrixType::ColsAtCompileTime,
+      Options = MatrixType::Options,
+      MaxRowsAtCompileTime = MatrixType::MaxRowsAtCompileTime,
+      MaxColsAtCompileTime = MatrixType::MaxColsAtCompileTime
+    };
+
+    /** \brief Scalar type for matrices of type #MatrixType. */
+    typedef typename MatrixType::Scalar Scalar;
+    typedef typename NumTraits<Scalar>::Real RealScalar;
+    typedef Eigen::Index Index; ///< \deprecated since Eigen 3.3
+
+    /** \brief Complex scalar type for #MatrixType. 
+      *
+      * This is \c std::complex<Scalar> if #Scalar is real (e.g.,
+      * \c float or \c double) and just \c Scalar if #Scalar is
+      * complex.
+      */
+    typedef std::complex<RealScalar> ComplexScalar;
+
+    /** \brief Type for vector of eigenvalues as returned by eigenvalues(). 
+      *
+      * This is a column vector with entries of type #ComplexScalar.
+      * The length of the vector is the size of #MatrixType.
+      */
+    typedef Matrix<ComplexScalar, ColsAtCompileTime, 1, Options & ~RowMajor, MaxColsAtCompileTime, 1> EigenvalueType;
+
+    /** \brief Type for matrix of eigenvectors as returned by eigenvectors(). 
+      *
+      * This is a square matrix with entries of type #ComplexScalar. 
+      * The size is the same as the size of #MatrixType.
+      */
+    typedef Matrix<ComplexScalar, RowsAtCompileTime, ColsAtCompileTime, Options, MaxRowsAtCompileTime, MaxColsAtCompileTime> EigenvectorsType;
+
+    /** \brief Default constructor.
+      *
+      * The default constructor is useful in cases in which the user intends to
+      * perform decompositions via EigenSolver::compute(const MatrixType&, bool).
+      *
+      * \sa compute() for an example.
+      */
+    EigenSolver() : m_eivec(), m_eivalues(), m_isInitialized(false), m_realSchur(), m_matT(), m_tmp() {}
+
+    /** \brief Default constructor with memory preallocation
+      *
+      * Like the default constructor but with preallocation of the internal data
+      * according to the specified problem \a size.
+      * \sa EigenSolver()
+      */
+    explicit EigenSolver(Index size)
+      : m_eivec(size, size),
+        m_eivalues(size),
+        m_isInitialized(false),
+        m_eigenvectorsOk(false),
+        m_realSchur(size),
+        m_matT(size, size), 
+        m_tmp(size)
+    {}
+
+    /** \brief Constructor; computes eigendecomposition of given matrix. 
+      * 
+      * \param[in]  matrix  Square matrix whose eigendecomposition is to be computed.
+      * \param[in]  computeEigenvectors  If true, both the eigenvectors and the
+      *    eigenvalues are computed; if false, only the eigenvalues are
+      *    computed. 
+      *
+      * This constructor calls compute() to compute the eigenvalues
+      * and eigenvectors.
+      *
+      * Example: \include EigenSolver_EigenSolver_MatrixType.cpp
+      * Output: \verbinclude EigenSolver_EigenSolver_MatrixType.out
+      *
+      * \sa compute()
+      */
+    template<typename InputType>
+    explicit EigenSolver(const EigenBase<InputType>& matrix, bool computeEigenvectors = true)
+      : m_eivec(matrix.rows(), matrix.cols()),
+        m_eivalues(matrix.cols()),
+        m_isInitialized(false),
+        m_eigenvectorsOk(false),
+        m_realSchur(matrix.cols()),
+        m_matT(matrix.rows(), matrix.cols()), 
+        m_tmp(matrix.cols())
+    {
+      compute(matrix.derived(), computeEigenvectors);
+    }
+
+    /** \brief Returns the eigenvectors of given matrix. 
+      *
+      * \returns  %Matrix whose columns are the (possibly complex) eigenvectors.
+      *
+      * \pre Either the constructor 
+      * EigenSolver(const MatrixType&,bool) or the member function
+      * compute(const MatrixType&, bool) has been called before, and
+      * \p computeEigenvectors was set to true (the default).
+      *
+      * Column \f$ k \f$ of the returned matrix is an eigenvector corresponding
+      * to eigenvalue number \f$ k \f$ as returned by eigenvalues().  The
+      * eigenvectors are normalized to have (Euclidean) norm equal to one. The
+      * matrix returned by this function is the matrix \f$ V \f$ in the
+      * eigendecomposition \f$ A = V D V^{-1} \f$, if it exists.
+      *
+      * Example: \include EigenSolver_eigenvectors.cpp
+      * Output: \verbinclude EigenSolver_eigenvectors.out
+      *
+      * \sa eigenvalues(), pseudoEigenvectors()
+      */
+    EigenvectorsType eigenvectors() const;
+
+    /** \brief Returns the pseudo-eigenvectors of given matrix. 
+      *
+      * \returns  Const reference to matrix whose columns are the pseudo-eigenvectors.
+      *
+      * \pre Either the constructor 
+      * EigenSolver(const MatrixType&,bool) or the member function
+      * compute(const MatrixType&, bool) has been called before, and
+      * \p computeEigenvectors was set to true (the default).
+      *
+      * The real matrix \f$ V \f$ returned by this function and the
+      * block-diagonal matrix \f$ D \f$ returned by pseudoEigenvalueMatrix()
+      * satisfy \f$ AV = VD \f$.
+      *
+      * Example: \include EigenSolver_pseudoEigenvectors.cpp
+      * Output: \verbinclude EigenSolver_pseudoEigenvectors.out
+      *
+      * \sa pseudoEigenvalueMatrix(), eigenvectors()
+      */
+    const MatrixType& pseudoEigenvectors() const
+    {
+      eigen_assert(m_isInitialized && "EigenSolver is not initialized.");
+      eigen_assert(m_eigenvectorsOk && "The eigenvectors have not been computed together with the eigenvalues.");
+      return m_eivec;
+    }
+
+    /** \brief Returns the block-diagonal matrix in the pseudo-eigendecomposition.
+      *
+      * \returns  A block-diagonal matrix.
+      *
+      * \pre Either the constructor 
+      * EigenSolver(const MatrixType&,bool) or the member function
+      * compute(const MatrixType&, bool) has been called before.
+      *
+      * The matrix \f$ D \f$ returned by this function is real and
+      * block-diagonal. The blocks on the diagonal are either 1-by-1 or 2-by-2
+      * blocks of the form
+      * \f$ \begin{bmatrix} u & v \\ -v & u \end{bmatrix} \f$.
+      * These blocks are not sorted in any particular order.
+      * The matrix \f$ D \f$ and the matrix \f$ V \f$ returned by
+      * pseudoEigenvectors() satisfy \f$ AV = VD \f$.
+      *
+      * \sa pseudoEigenvectors() for an example, eigenvalues()
+      */
+    MatrixType pseudoEigenvalueMatrix() const;
+
+    /** \brief Returns the eigenvalues of given matrix. 
+      *
+      * \returns A const reference to the column vector containing the eigenvalues.
+      *
+      * \pre Either the constructor 
+      * EigenSolver(const MatrixType&,bool) or the member function
+      * compute(const MatrixType&, bool) has been called before.
+      *
+      * The eigenvalues are repeated according to their algebraic multiplicity,
+      * so there are as many eigenvalues as rows in the matrix. The eigenvalues 
+      * are not sorted in any particular order.
+      *
+      * Example: \include EigenSolver_eigenvalues.cpp
+      * Output: \verbinclude EigenSolver_eigenvalues.out
+      *
+      * \sa eigenvectors(), pseudoEigenvalueMatrix(),
+      *     MatrixBase::eigenvalues()
+      */
+    const EigenvalueType& eigenvalues() const
+    {
+      eigen_assert(m_isInitialized && "EigenSolver is not initialized.");
+      return m_eivalues;
+    }
+
+    /** \brief Computes eigendecomposition of given matrix. 
+      * 
+      * \param[in]  matrix  Square matrix whose eigendecomposition is to be computed.
+      * \param[in]  computeEigenvectors  If true, both the eigenvectors and the
+      *    eigenvalues are computed; if false, only the eigenvalues are
+      *    computed. 
+      * \returns    Reference to \c *this
+      *
+      * This function computes the eigenvalues of the real matrix \p matrix.
+      * The eigenvalues() function can be used to retrieve them.  If 
+      * \p computeEigenvectors is true, then the eigenvectors are also computed
+      * and can be retrieved by calling eigenvectors().
+      *
+      * The matrix is first reduced to real Schur form using the RealSchur
+      * class. The Schur decomposition is then used to compute the eigenvalues
+      * and eigenvectors.
+      *
+      * The cost of the computation is dominated by the cost of the
+      * Schur decomposition, which is very approximately \f$ 25n^3 \f$
+      * (where \f$ n \f$ is the size of the matrix) if \p computeEigenvectors 
+      * is true, and \f$ 10n^3 \f$ if \p computeEigenvectors is false.
+      *
+      * This method reuses of the allocated data in the EigenSolver object.
+      *
+      * Example: \include EigenSolver_compute.cpp
+      * Output: \verbinclude EigenSolver_compute.out
+      */
+    template<typename InputType>
+    EigenSolver& compute(const EigenBase<InputType>& matrix, bool computeEigenvectors = true);
+
+    /** \returns NumericalIssue if the input contains INF or NaN values or overflow occured. Returns Success otherwise. */
+    ComputationInfo info() const
+    {
+      eigen_assert(m_isInitialized && "EigenSolver is not initialized.");
+      return m_info;
+    }
+
+    /** \brief Sets the maximum number of iterations allowed. */
+    EigenSolver& setMaxIterations(Index maxIters)
+    {
+      m_realSchur.setMaxIterations(maxIters);
+      return *this;
+    }
+
+    /** \brief Returns the maximum number of iterations. */
+    Index getMaxIterations()
+    {
+      return m_realSchur.getMaxIterations();
+    }
+
+  private:
+    void doComputeEigenvectors();
+
+  protected:
+    
+    static void check_template_parameters()
+    {
+      EIGEN_STATIC_ASSERT_NON_INTEGER(Scalar);
+      EIGEN_STATIC_ASSERT(!NumTraits<Scalar>::IsComplex, NUMERIC_TYPE_MUST_BE_REAL);
+    }
+    
+    MatrixType m_eivec;
+    EigenvalueType m_eivalues;
+    bool m_isInitialized;
+    bool m_eigenvectorsOk;
+    ComputationInfo m_info;
+    RealSchur<MatrixType> m_realSchur;
+    MatrixType m_matT;
+
+    typedef Matrix<Scalar, ColsAtCompileTime, 1, Options & ~RowMajor, MaxColsAtCompileTime, 1> ColumnVectorType;
+    ColumnVectorType m_tmp;
+};
+
+template<typename MatrixType>
+MatrixType EigenSolver<MatrixType>::pseudoEigenvalueMatrix() const
+{
+  eigen_assert(m_isInitialized && "EigenSolver is not initialized.");
+  const RealScalar precision = RealScalar(2)*NumTraits<RealScalar>::epsilon();
+  Index n = m_eivalues.rows();
+  MatrixType matD = MatrixType::Zero(n,n);
+  for (Index i=0; i<n; ++i)
+  {
+    if (internal::isMuchSmallerThan(numext::imag(m_eivalues.coeff(i)), numext::real(m_eivalues.coeff(i)), precision))
+      matD.coeffRef(i,i) = numext::real(m_eivalues.coeff(i));
+    else
+    {
+      matD.template block<2,2>(i,i) <<  numext::real(m_eivalues.coeff(i)), numext::imag(m_eivalues.coeff(i)),
+                                       -numext::imag(m_eivalues.coeff(i)), numext::real(m_eivalues.coeff(i));
+      ++i;
+    }
+  }
+  return matD;
+}
+
+template<typename MatrixType>
+typename EigenSolver<MatrixType>::EigenvectorsType EigenSolver<MatrixType>::eigenvectors() const
+{
+  eigen_assert(m_isInitialized && "EigenSolver is not initialized.");
+  eigen_assert(m_eigenvectorsOk && "The eigenvectors have not been computed together with the eigenvalues.");
+  const RealScalar precision = RealScalar(2)*NumTraits<RealScalar>::epsilon();
+  Index n = m_eivec.cols();
+  EigenvectorsType matV(n,n);
+  for (Index j=0; j<n; ++j)
+  {
+    if (internal::isMuchSmallerThan(numext::imag(m_eivalues.coeff(j)), numext::real(m_eivalues.coeff(j)), precision) || j+1==n)
+    {
+      // we have a real eigen value
+      matV.col(j) = m_eivec.col(j).template cast<ComplexScalar>();
+      matV.col(j).normalize();
+    }
+    else
+    {
+      // we have a pair of complex eigen values
+      for (Index i=0; i<n; ++i)
+      {
+        matV.coeffRef(i,j)   = ComplexScalar(m_eivec.coeff(i,j),  m_eivec.coeff(i,j+1));
+        matV.coeffRef(i,j+1) = ComplexScalar(m_eivec.coeff(i,j), -m_eivec.coeff(i,j+1));
+      }
+      matV.col(j).normalize();
+      matV.col(j+1).normalize();
+      ++j;
+    }
+  }
+  return matV;
+}
+
+template<typename MatrixType>
+template<typename InputType>
+EigenSolver<MatrixType>& 
+EigenSolver<MatrixType>::compute(const EigenBase<InputType>& matrix, bool computeEigenvectors)
+{
+  check_template_parameters();
+  
+  using std::sqrt;
+  using std::abs;
+  using numext::isfinite;
+  eigen_assert(matrix.cols() == matrix.rows());
+
+  // Reduce to real Schur form.
+  m_realSchur.compute(matrix.derived(), computeEigenvectors);
+  
+  m_info = m_realSchur.info();
+
+  if (m_info == Success)
+  {
+    m_matT = m_realSchur.matrixT();
+    if (computeEigenvectors)
+      m_eivec = m_realSchur.matrixU();
+  
+    // Compute eigenvalues from matT
+    m_eivalues.resize(matrix.cols());
+    Index i = 0;
+    while (i < matrix.cols()) 
+    {
+      if (i == matrix.cols() - 1 || m_matT.coeff(i+1, i) == Scalar(0)) 
+      {
+        m_eivalues.coeffRef(i) = m_matT.coeff(i, i);
+        if(!(isfinite)(m_eivalues.coeffRef(i)))
+        {
+          m_isInitialized = true;
+          m_eigenvectorsOk = false;
+          m_info = NumericalIssue;
+          return *this;
+        }
+        ++i;
+      }
+      else
+      {
+        Scalar p = Scalar(0.5) * (m_matT.coeff(i, i) - m_matT.coeff(i+1, i+1));
+        Scalar z;
+        // Compute z = sqrt(abs(p * p + m_matT.coeff(i+1, i) * m_matT.coeff(i, i+1)));
+        // without overflow
+        {
+          Scalar t0 = m_matT.coeff(i+1, i);
+          Scalar t1 = m_matT.coeff(i, i+1);
+          Scalar maxval = numext::maxi<Scalar>(abs(p),numext::maxi<Scalar>(abs(t0),abs(t1)));
+          t0 /= maxval;
+          t1 /= maxval;
+          Scalar p0 = p/maxval;
+          z = maxval * sqrt(abs(p0 * p0 + t0 * t1));
+        }
+        
+        m_eivalues.coeffRef(i)   = ComplexScalar(m_matT.coeff(i+1, i+1) + p, z);
+        m_eivalues.coeffRef(i+1) = ComplexScalar(m_matT.coeff(i+1, i+1) + p, -z);
+        if(!((isfinite)(m_eivalues.coeffRef(i)) && (isfinite)(m_eivalues.coeffRef(i+1))))
+        {
+          m_isInitialized = true;
+          m_eigenvectorsOk = false;
+          m_info = NumericalIssue;
+          return *this;
+        }
+        i += 2;
+      }
+    }
+    
+    // Compute eigenvectors.
+    if (computeEigenvectors)
+      doComputeEigenvectors();
+  }
+
+  m_isInitialized = true;
+  m_eigenvectorsOk = computeEigenvectors;
+
+  return *this;
+}
+
+
+template<typename MatrixType>
+void EigenSolver<MatrixType>::doComputeEigenvectors()
+{
+  using std::abs;
+  const Index size = m_eivec.cols();
+  const Scalar eps = NumTraits<Scalar>::epsilon();
+
+  // inefficient! this is already computed in RealSchur
+  Scalar norm(0);
+  for (Index j = 0; j < size; ++j)
+  {
+    norm += m_matT.row(j).segment((std::max)(j-1,Index(0)), size-(std::max)(j-1,Index(0))).cwiseAbs().sum();
+  }
+  
+  // Backsubstitute to find vectors of upper triangular form
+  if (norm == Scalar(0))
+  {
+    return;
+  }
+
+  for (Index n = size-1; n >= 0; n--)
+  {
+    Scalar p = m_eivalues.coeff(n).real();
+    Scalar q = m_eivalues.coeff(n).imag();
+
+    // Scalar vector
+    if (q == Scalar(0))
+    {
+      Scalar lastr(0), lastw(0);
+      Index l = n;
+
+      m_matT.coeffRef(n,n) = Scalar(1);
+      for (Index i = n-1; i >= 0; i--)
+      {
+        Scalar w = m_matT.coeff(i,i) - p;
+        Scalar r = m_matT.row(i).segment(l,n-l+1).dot(m_matT.col(n).segment(l, n-l+1));
+
+        if (m_eivalues.coeff(i).imag() < Scalar(0))
+        {
+          lastw = w;
+          lastr = r;
+        }
+        else
+        {
+          l = i;
+          if (m_eivalues.coeff(i).imag() == Scalar(0))
+          {
+            if (w != Scalar(0))
+              m_matT.coeffRef(i,n) = -r / w;
+            else
+              m_matT.coeffRef(i,n) = -r / (eps * norm);
+          }
+          else // Solve real equations
+          {
+            Scalar x = m_matT.coeff(i,i+1);
+            Scalar y = m_matT.coeff(i+1,i);
+            Scalar denom = (m_eivalues.coeff(i).real() - p) * (m_eivalues.coeff(i).real() - p) + m_eivalues.coeff(i).imag() * m_eivalues.coeff(i).imag();
+            Scalar t = (x * lastr - lastw * r) / denom;
+            m_matT.coeffRef(i,n) = t;
+            if (abs(x) > abs(lastw))
+              m_matT.coeffRef(i+1,n) = (-r - w * t) / x;
+            else
+              m_matT.coeffRef(i+1,n) = (-lastr - y * t) / lastw;
+          }
+
+          // Overflow control
+          Scalar t = abs(m_matT.coeff(i,n));
+          if ((eps * t) * t > Scalar(1))
+            m_matT.col(n).tail(size-i) /= t;
+        }
+      }
+    }
+    else if (q < Scalar(0) && n > 0) // Complex vector
+    {
+      Scalar lastra(0), lastsa(0), lastw(0);
+      Index l = n-1;
+
+      // Last vector component imaginary so matrix is triangular
+      if (abs(m_matT.coeff(n,n-1)) > abs(m_matT.coeff(n-1,n)))
+      {
+        m_matT.coeffRef(n-1,n-1) = q / m_matT.coeff(n,n-1);
+        m_matT.coeffRef(n-1,n) = -(m_matT.coeff(n,n) - p) / m_matT.coeff(n,n-1);
+      }
+      else
+      {
+        ComplexScalar cc = ComplexScalar(Scalar(0),-m_matT.coeff(n-1,n)) / ComplexScalar(m_matT.coeff(n-1,n-1)-p,q);
+        m_matT.coeffRef(n-1,n-1) = numext::real(cc);
+        m_matT.coeffRef(n-1,n) = numext::imag(cc);
+      }
+      m_matT.coeffRef(n,n-1) = Scalar(0);
+      m_matT.coeffRef(n,n) = Scalar(1);
+      for (Index i = n-2; i >= 0; i--)
+      {
+        Scalar ra = m_matT.row(i).segment(l, n-l+1).dot(m_matT.col(n-1).segment(l, n-l+1));
+        Scalar sa = m_matT.row(i).segment(l, n-l+1).dot(m_matT.col(n).segment(l, n-l+1));
+        Scalar w = m_matT.coeff(i,i) - p;
+
+        if (m_eivalues.coeff(i).imag() < Scalar(0))
+        {
+          lastw = w;
+          lastra = ra;
+          lastsa = sa;
+        }
+        else
+        {
+          l = i;
+          if (m_eivalues.coeff(i).imag() == RealScalar(0))
+          {
+            ComplexScalar cc = ComplexScalar(-ra,-sa) / ComplexScalar(w,q);
+            m_matT.coeffRef(i,n-1) = numext::real(cc);
+            m_matT.coeffRef(i,n) = numext::imag(cc);
+          }
+          else
+          {
+            // Solve complex equations
+            Scalar x = m_matT.coeff(i,i+1);
+            Scalar y = m_matT.coeff(i+1,i);
+            Scalar vr = (m_eivalues.coeff(i).real() - p) * (m_eivalues.coeff(i).real() - p) + m_eivalues.coeff(i).imag() * m_eivalues.coeff(i).imag() - q * q;
+            Scalar vi = (m_eivalues.coeff(i).real() - p) * Scalar(2) * q;
+            if ((vr == Scalar(0)) && (vi == Scalar(0)))
+              vr = eps * norm * (abs(w) + abs(q) + abs(x) + abs(y) + abs(lastw));
+
+            ComplexScalar cc = ComplexScalar(x*lastra-lastw*ra+q*sa,x*lastsa-lastw*sa-q*ra) / ComplexScalar(vr,vi);
+            m_matT.coeffRef(i,n-1) = numext::real(cc);
+            m_matT.coeffRef(i,n) = numext::imag(cc);
+            if (abs(x) > (abs(lastw) + abs(q)))
+            {
+              m_matT.coeffRef(i+1,n-1) = (-ra - w * m_matT.coeff(i,n-1) + q * m_matT.coeff(i,n)) / x;
+              m_matT.coeffRef(i+1,n) = (-sa - w * m_matT.coeff(i,n) - q * m_matT.coeff(i,n-1)) / x;
+            }
+            else
+            {
+              cc = ComplexScalar(-lastra-y*m_matT.coeff(i,n-1),-lastsa-y*m_matT.coeff(i,n)) / ComplexScalar(lastw,q);
+              m_matT.coeffRef(i+1,n-1) = numext::real(cc);
+              m_matT.coeffRef(i+1,n) = numext::imag(cc);
+            }
+          }
+
+          // Overflow control
+          Scalar t = numext::maxi<Scalar>(abs(m_matT.coeff(i,n-1)),abs(m_matT.coeff(i,n)));
+          if ((eps * t) * t > Scalar(1))
+            m_matT.block(i, n-1, size-i, 2) /= t;
+
+        }
+      }
+      
+      // We handled a pair of complex conjugate eigenvalues, so need to skip them both
+      n--;
+    }
+    else
+    {
+      eigen_assert(0 && "Internal bug in EigenSolver (INF or NaN has not been detected)"); // this should not happen
+    }
+  }
+
+  // Back transformation to get eigenvectors of original matrix
+  for (Index j = size-1; j >= 0; j--)
+  {
+    m_tmp.noalias() = m_eivec.leftCols(j+1) * m_matT.col(j).segment(0, j+1);
+    m_eivec.col(j) = m_tmp;
+  }
+}
+
+} // end namespace Eigen
+
+#endif // EIGEN_EIGENSOLVER_H
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Eigenvalues/HessenbergDecomposition.h
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Eigenvalues/HessenbergDecomposition.h	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/Eigenvalues/HessenbergDecomposition.h	(revision 3761)
@@ -0,0 +1,374 @@
+// This file is part of Eigen, a lightweight C++ template library
+// for linear algebra.
+//
+// Copyright (C) 2008-2009 Gael Guennebaud <gael.guennebaud@inria.fr>
+// Copyright (C) 2010 Jitse Niesen <jitse@maths.leeds.ac.uk>
+//
+// This Source Code Form is subject to the terms of the Mozilla
+// Public License v. 2.0. If a copy of the MPL was not distributed
+// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
+
+#ifndef EIGEN_HESSENBERGDECOMPOSITION_H
+#define EIGEN_HESSENBERGDECOMPOSITION_H
+
+namespace Eigen { 
+
+namespace internal {
+  
+template<typename MatrixType> struct HessenbergDecompositionMatrixHReturnType;
+template<typename MatrixType>
+struct traits<HessenbergDecompositionMatrixHReturnType<MatrixType> >
+{
+  typedef MatrixType ReturnType;
+};
+
+}
+
+/** \eigenvalues_module \ingroup Eigenvalues_Module
+  *
+  *
+  * \class HessenbergDecomposition
+  *
+  * \brief Reduces a square matrix to Hessenberg form by an orthogonal similarity transformation
+  *
+  * \tparam _MatrixType the type of the matrix of which we are computing the Hessenberg decomposition
+  *
+  * This class performs an Hessenberg decomposition of a matrix \f$ A \f$. In
+  * the real case, the Hessenberg decomposition consists of an orthogonal
+  * matrix \f$ Q \f$ and a Hessenberg matrix \f$ H \f$ such that \f$ A = Q H
+  * Q^T \f$. An orthogonal matrix is a matrix whose inverse equals its
+  * transpose (\f$ Q^{-1} = Q^T \f$). A Hessenberg matrix has zeros below the
+  * subdiagonal, so it is almost upper triangular. The Hessenberg decomposition
+  * of a complex matrix is \f$ A = Q H Q^* \f$ with \f$ Q \f$ unitary (that is,
+  * \f$ Q^{-1} = Q^* \f$).
+  *
+  * Call the function compute() to compute the Hessenberg decomposition of a
+  * given matrix. Alternatively, you can use the
+  * HessenbergDecomposition(const MatrixType&) constructor which computes the
+  * Hessenberg decomposition at construction time. Once the decomposition is
+  * computed, you can use the matrixH() and matrixQ() functions to construct
+  * the matrices H and Q in the decomposition.
+  *
+  * The documentation for matrixH() contains an example of the typical use of
+  * this class.
+  *
+  * \sa class ComplexSchur, class Tridiagonalization, \ref QR_Module "QR Module"
+  */
+template<typename _MatrixType> class HessenbergDecomposition
+{
+  public:
+
+    /** \brief Synonym for the template parameter \p _MatrixType. */
+    typedef _MatrixType MatrixType;
+
+    enum {
+      Size = MatrixType::RowsAtCompileTime,
+      SizeMinusOne = Size == Dynamic ? Dynamic : Size - 1,
+      Options = MatrixType::Options,
+      MaxSize = MatrixType::MaxRowsAtCompileTime,
+      MaxSizeMinusOne = MaxSize == Dynamic ? Dynamic : MaxSize - 1
+    };
+
+    /** \brief Scalar type for matrices of type #MatrixType. */
+    typedef typename MatrixType::Scalar Scalar;
+    typedef Eigen::Index Index; ///< \deprecated since Eigen 3.3
+
+    /** \brief Type for vector of Householder coefficients.
+      *
+      * This is column vector with entries of type #Scalar. The length of the
+      * vector is one less than the size of #MatrixType, if it is a fixed-side
+      * type.
+      */
+    typedef Matrix<Scalar, SizeMinusOne, 1, Options & ~RowMajor, MaxSizeMinusOne, 1> CoeffVectorType;
+
+    /** \brief Return type of matrixQ() */
+    typedef HouseholderSequence<MatrixType,typename internal::remove_all<typename CoeffVectorType::ConjugateReturnType>::type> HouseholderSequenceType;
+    
+    typedef internal::HessenbergDecompositionMatrixHReturnType<MatrixType> MatrixHReturnType;
+
+    /** \brief Default constructor; the decomposition will be computed later.
+      *
+      * \param [in] size  The size of the matrix whose Hessenberg decomposition will be computed.
+      *
+      * The default constructor is useful in cases in which the user intends to
+      * perform decompositions via compute().  The \p size parameter is only
+      * used as a hint. It is not an error to give a wrong \p size, but it may
+      * impair performance.
+      *
+      * \sa compute() for an example.
+      */
+    explicit HessenbergDecomposition(Index size = Size==Dynamic ? 2 : Size)
+      : m_matrix(size,size),
+        m_temp(size),
+        m_isInitialized(false)
+    {
+      if(size>1)
+        m_hCoeffs.resize(size-1);
+    }
+
+    /** \brief Constructor; computes Hessenberg decomposition of given matrix.
+      *
+      * \param[in]  matrix  Square matrix whose Hessenberg decomposition is to be computed.
+      *
+      * This constructor calls compute() to compute the Hessenberg
+      * decomposition.
+      *
+      * \sa matrixH() for an example.
+      */
+    template<typename InputType>
+    explicit HessenbergDecomposition(const EigenBase<InputType>& matrix)
+      : m_matrix(matrix.derived()),
+        m_temp(matrix.rows()),
+        m_isInitialized(false)
+    {
+      if(matrix.rows()<2)
+      {
+        m_isInitialized = true;
+        return;
+      }
+      m_hCoeffs.resize(matrix.rows()-1,1);
+      _compute(m_matrix, m_hCoeffs, m_temp);
+      m_isInitialized = true;
+    }
+
+    /** \brief Computes Hessenberg decomposition of given matrix.
+      *
+      * \param[in]  matrix  Square matrix whose Hessenberg decomposition is to be computed.
+      * \returns    Reference to \c *this
+      *
+      * The Hessenberg decomposition is computed by bringing the columns of the
+      * matrix successively in the required form using Householder reflections
+      * (see, e.g., Algorithm 7.4.2 in Golub \& Van Loan, <i>%Matrix
+      * Computations</i>). The cost is \f$ 10n^3/3 \f$ flops, where \f$ n \f$
+      * denotes the size of the given matrix.
+      *
+      * This method reuses of the allocated data in the HessenbergDecomposition
+      * object.
+      *
+      * Example: \include HessenbergDecomposition_compute.cpp
+      * Output: \verbinclude HessenbergDecomposition_compute.out
+      */
+    template<typename InputType>
+    HessenbergDecomposition& compute(const EigenBase<InputType>& matrix)
+    {
+      m_matrix = matrix.derived();
+      if(matrix.rows()<2)
+      {
+        m_isInitialized = true;
+        return *this;
+      }
+      m_hCoeffs.resize(matrix.rows()-1,1);
+      _compute(m_matrix, m_hCoeffs, m_temp);
+      m_isInitialized = true;
+      return *this;
+    }
+
+    /** \brief Returns the Householder coefficients.
+      *
+      * \returns a const reference to the vector of Householder coefficients
+      *
+      * \pre Either the constructor HessenbergDecomposition(const MatrixType&)
+      * or the member function compute(const MatrixType&) has been called
+      * before to compute the Hessenberg decomposition of a matrix.
+      *
+      * The Householder coefficients allow the reconstruction of the matrix
+      * \f$ Q \f$ in the Hessenberg decomposition from the packed data.
+      *
+      * \sa packedMatrix(), \ref Householder_Module "Householder module"
+      */
+    const CoeffVectorType& householderCoefficients() const
+    {
+      eigen_assert(m_isInitialized && "HessenbergDecomposition is not initialized.");
+      return m_hCoeffs;
+    }
+
+    /** \brief Returns the internal representation of the decomposition
+      *
+      *	\returns a const reference to a matrix with the internal representation
+      *	         of the decomposition.
+      *
+      * \pre Either the constructor HessenbergDecomposition(const MatrixType&)
+      * or the member function compute(const MatrixType&) has been called
+      * before to compute the Hessenberg decomposition of a matrix.
+      *
+      * The returned matrix contains the following information:
+      *  - the upper part and lower sub-diagonal represent the Hessenberg matrix H
+      *  - the rest of the lower part contains the Householder vectors that, combined with
+      *    Householder coefficients returned by householderCoefficients(),
+      *    allows to reconstruct the matrix Q as
+      *       \f$ Q = H_{N-1} \ldots H_1 H_0 \f$.
+      *    Here, the matrices \f$ H_i \f$ are the Householder transformations
+      *       \f$ H_i = (I - h_i v_i v_i^T) \f$
+      *    where \f$ h_i \f$ is the \f$ i \f$th Householder coefficient and
+      *    \f$ v_i \f$ is the Householder vector defined by
+      *       \f$ v_i = [ 0, \ldots, 0, 1, M(i+2,i), \ldots, M(N-1,i) ]^T \f$
+      *    with M the matrix returned by this function.
+      *
+      * See LAPACK for further details on this packed storage.
+      *
+      * Example: \include HessenbergDecomposition_packedMatrix.cpp
+      * Output: \verbinclude HessenbergDecomposition_packedMatrix.out
+      *
+      * \sa householderCoefficients()
+      */
+    const MatrixType& packedMatrix() const
+    {
+      eigen_assert(m_isInitialized && "HessenbergDecomposition is not initialized.");
+      return m_matrix;
+    }
+
+    /** \brief Reconstructs the orthogonal matrix Q in the decomposition
+      *
+      * \returns object representing the matrix Q
+      *
+      * \pre Either the constructor HessenbergDecomposition(const MatrixType&)
+      * or the member function compute(const MatrixType&) has been called
+      * before to compute the Hessenberg decomposition of a matrix.
+      *
+      * This function returns a light-weight object of template class
+      * HouseholderSequence. You can either apply it directly to a matrix or
+      * you can convert it to a matrix of type #MatrixType.
+      *
+      * \sa matrixH() for an example, class HouseholderSequence
+      */
+    HouseholderSequenceType matrixQ() const
+    {
+      eigen_assert(m_isInitialized && "HessenbergDecomposition is not initialized.");
+      return HouseholderSequenceType(m_matrix, m_hCoeffs.conjugate())
+             .setLength(m_matrix.rows() - 1)
+             .setShift(1);
+    }
+
+    /** \brief Constructs the Hessenberg matrix H in the decomposition
+      *
+      * \returns expression object representing the matrix H
+      *
+      * \pre Either the constructor HessenbergDecomposition(const MatrixType&)
+      * or the member function compute(const MatrixType&) has been called
+      * before to compute the Hessenberg decomposition of a matrix.
+      *
+      * The object returned by this function constructs the Hessenberg matrix H
+      * when it is assigned to a matrix or otherwise evaluated. The matrix H is
+      * constructed from the packed matrix as returned by packedMatrix(): The
+      * upper part (including the subdiagonal) of the packed matrix contains
+      * the matrix H. It may sometimes be better to directly use the packed
+      * matrix instead of constructing the matrix H.
+      *
+      * Example: \include HessenbergDecomposition_matrixH.cpp
+      * Output: \verbinclude HessenbergDecomposition_matrixH.out
+      *
+      * \sa matrixQ(), packedMatrix()
+      */
+    MatrixHReturnType matrixH() const
+    {
+      eigen_assert(m_isInitialized && "HessenbergDecomposition is not initialized.");
+      return MatrixHReturnType(*this);
+    }
+
+  private:
+
+    typedef Matrix<Scalar, 1, Size, Options | RowMajor, 1, MaxSize> VectorType;
+    typedef typename NumTraits<Scalar>::Real RealScalar;
+    static void _compute(MatrixType& matA, CoeffVectorType& hCoeffs, VectorType& temp);
+
+  protected:
+    MatrixType m_matrix;
+    CoeffVectorType m_hCoeffs;
+    VectorType m_temp;
+    bool m_isInitialized;
+};
+
+/** \internal
+  * Performs a tridiagonal decomposition of \a matA in place.
+  *
+  * \param matA the input selfadjoint matrix
+  * \param hCoeffs returned Householder coefficients
+  *
+  * The result is written in the lower triangular part of \a matA.
+  *
+  * Implemented from Golub's "%Matrix Computations", algorithm 8.3.1.
+  *
+  * \sa packedMatrix()
+  */
+template<typename MatrixType>
+void HessenbergDecomposition<MatrixType>::_compute(MatrixType& matA, CoeffVectorType& hCoeffs, VectorType& temp)
+{
+  eigen_assert(matA.rows()==matA.cols());
+  Index n = matA.rows();
+  temp.resize(n);
+  for (Index i = 0; i<n-1; ++i)
+  {
+    // let's consider the vector v = i-th column starting at position i+1
+    Index remainingSize = n-i-1;
+    RealScalar beta;
+    Scalar h;
+    matA.col(i).tail(remainingSize).makeHouseholderInPlace(h, beta);
+    matA.col(i).coeffRef(i+1) = beta;
+    hCoeffs.coeffRef(i) = h;
+
+    // Apply similarity transformation to remaining columns,
+    // i.e., compute A = H A H'
+
+    // A = H A
+    matA.bottomRightCorner(remainingSize, remainingSize)
+        .applyHouseholderOnTheLeft(matA.col(i).tail(remainingSize-1), h, &temp.coeffRef(0));
+
+    // A = A H'
+    matA.rightCols(remainingSize)
+        .applyHouseholderOnTheRight(matA.col(i).tail(remainingSize-1).conjugate(), numext::conj(h), &temp.coeffRef(0));
+  }
+}
+
+namespace internal {
+
+/** \eigenvalues_module \ingroup Eigenvalues_Module
+  *
+  *
+  * \brief Expression type for return value of HessenbergDecomposition::matrixH()
+  *
+  * \tparam MatrixType type of matrix in the Hessenberg decomposition
+  *
+  * Objects of this type represent the Hessenberg matrix in the Hessenberg
+  * decomposition of some matrix. The object holds a reference to the
+  * HessenbergDecomposition class until the it is assigned or evaluated for
+  * some other reason (the reference should remain valid during the life time
+  * of this object). This class is the return type of
+  * HessenbergDecomposition::matrixH(); there is probably no other use for this
+  * class.
+  */
+template<typename MatrixType> struct HessenbergDecompositionMatrixHReturnType
+: public ReturnByValue<HessenbergDecompositionMatrixHReturnType<MatrixType> >
+{
+  public:
+    /** \brief Constructor.
+      *
+      * \param[in] hess  Hessenberg decomposition
+      */
+    HessenbergDecompositionMatrixHReturnType(const HessenbergDecomposition<MatrixType>& hess) : m_hess(hess) { }
+
+    /** \brief Hessenberg matrix in decomposition.
+      *
+      * \param[out] result  Hessenberg matrix in decomposition \p hess which
+      *                     was passed to the constructor
+      */
+    template <typename ResultType>
+    inline void evalTo(ResultType& result) const
+    {
+      result = m_hess.packedMatrix();
+      Index n = result.rows();
+      if (n>2)
+        result.bottomLeftCorner(n-2, n-2).template triangularView<Lower>().setZero();
+    }
+
+    Index rows() const { return m_hess.packedMatrix().rows(); }
+    Index cols() const { return m_hess.packedMatrix().cols(); }
+
+  protected:
+    const HessenbergDecomposition<MatrixType>& m_hess;
+};
+
+} // end namespace internal
+
+} // end namespace Eigen
+
+#endif // EIGEN_HESSENBERGDECOMPOSITION_H
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/MetisSupport/MetisSupport.h
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/MetisSupport/MetisSupport.h	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/Eigen/src/MetisSupport/MetisSupport.h	(revision 3761)
@@ -0,0 +1,137 @@
+// This file is part of Eigen, a lightweight C++ template library
+// for linear algebra.
+//
+// Copyright (C) 2012 DÃ©sirÃ© Nuentsa-Wakam <desire.nuentsa_wakam@inria.fr>
+//
+// This Source Code Form is subject to the terms of the Mozilla
+// Public License v. 2.0. If a copy of the MPL was not distributed
+// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
+#ifndef METIS_SUPPORT_H
+#define METIS_SUPPORT_H
+
+namespace Eigen {
+/**
+ * Get the fill-reducing ordering from the METIS package
+ * 
+ * If A is the original matrix and Ap is the permuted matrix, 
+ * the fill-reducing permutation is defined as follows :
+ * Row (column) i of A is the matperm(i) row (column) of Ap. 
+ * WARNING: As computed by METIS, this corresponds to the vector iperm (instead of perm)
+ */
+template <typename StorageIndex>
+class MetisOrdering
+{
+public:
+  typedef PermutationMatrix<Dynamic,Dynamic,StorageIndex> PermutationType;
+  typedef Matrix<StorageIndex,Dynamic,1> IndexVector; 
+  
+  template <typename MatrixType>
+  void get_symmetrized_graph(const MatrixType& A)
+  {
+    Index m = A.cols(); 
+    eigen_assert((A.rows() == A.cols()) && "ONLY FOR SQUARED MATRICES");
+    // Get the transpose of the input matrix 
+    MatrixType At = A.transpose(); 
+    // Get the number of nonzeros elements in each row/col of At+A
+    Index TotNz = 0; 
+    IndexVector visited(m); 
+    visited.setConstant(-1); 
+    for (StorageIndex j = 0; j < m; j++)
+    {
+      // Compute the union structure of of A(j,:) and At(j,:)
+      visited(j) = j; // Do not include the diagonal element
+      // Get the nonzeros in row/column j of A
+      for (typename MatrixType::InnerIterator it(A, j); it; ++it)
+      {
+        Index idx = it.index(); // Get the row index (for column major) or column index (for row major)
+        if (visited(idx) != j ) 
+        {
+          visited(idx) = j; 
+          ++TotNz; 
+        }
+      }
+      //Get the nonzeros in row/column j of At
+      for (typename MatrixType::InnerIterator it(At, j); it; ++it)
+      {
+        Index idx = it.index(); 
+        if(visited(idx) != j)
+        {
+          visited(idx) = j; 
+          ++TotNz; 
+        }
+      }
+    }
+    // Reserve place for A + At
+    m_indexPtr.resize(m+1);
+    m_innerIndices.resize(TotNz); 
+
+    // Now compute the real adjacency list of each column/row 
+    visited.setConstant(-1); 
+    StorageIndex CurNz = 0; 
+    for (StorageIndex j = 0; j < m; j++)
+    {
+      m_indexPtr(j) = CurNz; 
+      
+      visited(j) = j; // Do not include the diagonal element
+      // Add the pattern of row/column j of A to A+At
+      for (typename MatrixType::InnerIterator it(A,j); it; ++it)
+      {
+        StorageIndex idx = it.index(); // Get the row index (for column major) or column index (for row major)
+        if (visited(idx) != j ) 
+        {
+          visited(idx) = j; 
+          m_innerIndices(CurNz) = idx; 
+          CurNz++; 
+        }
+      }
+      //Add the pattern of row/column j of At to A+At
+      for (typename MatrixType::InnerIterator it(At, j); it; ++it)
+      {
+        StorageIndex idx = it.index(); 
+        if(visited(idx) != j)
+        {
+          visited(idx) = j; 
+          m_innerIndices(CurNz) = idx; 
+          ++CurNz; 
+        }
+      }
+    }
+    m_indexPtr(m) = CurNz;    
+  }
+  
+  template <typename MatrixType>
+  void operator() (const MatrixType& A, PermutationType& matperm)
+  {
+     StorageIndex m = internal::convert_index<StorageIndex>(A.cols()); // must be StorageIndex, because it is passed by address to METIS
+     IndexVector perm(m),iperm(m); 
+    // First, symmetrize the matrix graph. 
+     get_symmetrized_graph(A); 
+     int output_error;
+     
+     // Call the fill-reducing routine from METIS 
+     output_error = METIS_NodeND(&m, m_indexPtr.data(), m_innerIndices.data(), NULL, NULL, perm.data(), iperm.data());
+     
+    if(output_error != METIS_OK) 
+    {
+      //FIXME The ordering interface should define a class of possible errors 
+     std::cerr << "ERROR WHILE CALLING THE METIS PACKAGE \n"; 
+     return; 
+    }
+    
+    // Get the fill-reducing permutation 
+    //NOTE:  If Ap is the permuted matrix then perm and iperm vectors are defined as follows 
+    // Row (column) i of Ap is the perm(i) row(column) of A, and row (column) i of A is the iperm(i) row(column) of Ap
+    
+     matperm.resize(m);
+     for (int j = 0; j < m; j++)
+       matperm.indices()(iperm(j)) = j;
+   
+  }
+  
+  protected:
+    IndexVector m_indexPtr; // Pointer to the adjacenccy list of each row/column
+    IndexVector m_innerIndices; // Adjacency list 
+};
+
+}// end namespace eigen 
+#endif
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/unsupported/Eigen/AdolcForward
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/unsupported/Eigen/AdolcForward	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/unsupported/Eigen/AdolcForward	(revision 3761)
@@ -0,0 +1,156 @@
+// This file is part of Eigen, a lightweight C++ template library
+// for linear algebra.
+//
+// Copyright (C) 2008-2009 Gael Guennebaud <g.gael@free.fr>
+//
+// This Source Code Form is subject to the terms of the Mozilla
+// Public License v. 2.0. If a copy of the MPL was not distributed
+// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
+
+#ifndef EIGEN_ADLOC_FORWARD
+#define EIGEN_ADLOC_FORWARD
+
+//--------------------------------------------------------------------------------
+//
+// This file provides support for adolc's adouble type in forward mode.
+// ADOL-C is a C++ automatic differentiation library,
+// see https://projects.coin-or.org/ADOL-C for more information.
+//
+// Note that the maximal number of directions is controlled by
+// the preprocessor token NUMBER_DIRECTIONS. The default is 2.
+//
+//--------------------------------------------------------------------------------
+
+#define ADOLC_TAPELESS
+#ifndef NUMBER_DIRECTIONS
+# define NUMBER_DIRECTIONS 2
+#endif
+#include <adolc/adtl.h>
+
+// adolc defines some very stupid macros:
+#if defined(malloc)
+# undef malloc
+#endif
+
+#if defined(calloc)
+# undef calloc
+#endif
+
+#if defined(realloc)
+# undef realloc
+#endif
+
+#include <Eigen/Core>
+
+namespace Eigen {
+
+/**
+  * \defgroup AdolcForward_Module Adolc forward module
+  * This module provides support for adolc's adouble type in forward mode.
+  * ADOL-C is a C++ automatic differentiation library,
+  * see https://projects.coin-or.org/ADOL-C for more information.
+  * It mainly consists in:
+  *  - a struct Eigen::NumTraits<adtl::adouble> specialization
+  *  - overloads of internal::* math function for adtl::adouble type.
+  *
+  * Note that the maximal number of directions is controlled by
+  * the preprocessor token NUMBER_DIRECTIONS. The default is 2.
+  *
+  * \code
+  * #include <unsupported/Eigen/AdolcSupport>
+  * \endcode
+  */
+  //@{
+
+} // namespace Eigen
+
+// Eigen's require a few additional functions which must be defined in the same namespace
+// than the custom scalar type own namespace
+namespace adtl {
+
+inline const adouble& conj(const adouble& x)  { return x; }
+inline const adouble& real(const adouble& x)  { return x; }
+inline adouble imag(const adouble&)    { return 0.; }
+inline adouble abs(const adouble&  x)  { return fabs(x); }
+inline adouble abs2(const adouble& x)  { return x*x; }
+
+}
+
+namespace Eigen {
+
+template<> struct NumTraits<adtl::adouble>
+    : NumTraits<double>
+{
+  typedef adtl::adouble Real;
+  typedef adtl::adouble NonInteger;
+  typedef adtl::adouble Nested;
+  enum {
+    IsComplex = 0,
+    IsInteger = 0,
+    IsSigned = 1,
+    RequireInitialization = 1,
+    ReadCost = 1,
+    AddCost = 1,
+    MulCost = 1
+  };
+};
+
+template<typename Functor> class AdolcForwardJacobian : public Functor
+{
+  typedef adtl::adouble ActiveScalar;
+public:
+
+  AdolcForwardJacobian() : Functor() {}
+  AdolcForwardJacobian(const Functor& f) : Functor(f) {}
+
+  // forward constructors
+  template<typename T0>
+  AdolcForwardJacobian(const T0& a0) : Functor(a0) {}
+  template<typename T0, typename T1>
+  AdolcForwardJacobian(const T0& a0, const T1& a1) : Functor(a0, a1) {}
+  template<typename T0, typename T1, typename T2>
+  AdolcForwardJacobian(const T0& a0, const T1& a1, const T1& a2) : Functor(a0, a1, a2) {}
+
+  typedef typename Functor::InputType InputType;
+  typedef typename Functor::ValueType ValueType;
+  typedef typename Functor::JacobianType JacobianType;
+
+  typedef Matrix<ActiveScalar, InputType::SizeAtCompileTime, 1> ActiveInput;
+  typedef Matrix<ActiveScalar, ValueType::SizeAtCompileTime, 1> ActiveValue;
+
+  void operator() (const InputType& x, ValueType* v, JacobianType* _jac) const
+  {
+    eigen_assert(v!=0);
+    if (!_jac)
+    {
+      Functor::operator()(x, v);
+      return;
+    }
+
+    JacobianType& jac = *_jac;
+
+    ActiveInput ax = x.template cast<ActiveScalar>();
+    ActiveValue av(jac.rows());
+
+    for (int j=0; j<jac.cols(); j++)
+      for (int i=0; i<jac.cols(); i++)
+        ax[i].setADValue(j, i==j ? 1 : 0);
+
+    Functor::operator()(ax, &av);
+
+    for (int i=0; i<jac.rows(); i++)
+    {
+      (*v)[i] = av[i].getValue();
+      for (int j=0; j<jac.cols(); j++)
+        jac.coeffRef(i,j) = av[i].getADValue(j);
+    }
+  }
+protected:
+
+};
+
+//@}
+
+}
+
+#endif // EIGEN_ADLOC_FORWARD
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/unsupported/Eigen/NumericalDiff
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/unsupported/Eigen/NumericalDiff	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/unsupported/Eigen/NumericalDiff	(revision 3761)
@@ -0,0 +1,56 @@
+// This file is part of Eigen, a lightweight C++ template library
+// for linear algebra.
+//
+// Copyright (C) 2009 Thomas Capricelli <orzel@freehackers.org>
+//
+// This Source Code Form is subject to the terms of the Mozilla
+// Public License v. 2.0. If a copy of the MPL was not distributed
+// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
+
+#ifndef EIGEN_NUMERICALDIFF_MODULE
+#define EIGEN_NUMERICALDIFF_MODULE
+
+#include <Eigen/Core>
+
+namespace Eigen {
+
+/**
+  * \defgroup NumericalDiff_Module Numerical differentiation module
+  *
+  * \code
+  * #include <unsupported/Eigen/NumericalDiff>
+  * \endcode
+  *
+  * See http://en.wikipedia.org/wiki/Numerical_differentiation
+  *
+  * Warning : this should NOT be confused with automatic differentiation, which
+  * is a different method and has its own module in Eigen : \ref
+  * AutoDiff_Module.
+  *
+  * Currently only "Forward" and "Central" schemes are implemented. Those
+  * are basic methods, and there exist some more elaborated way of
+  * computing such approximates. They are implemented using both
+  * proprietary and free software, and usually requires linking to an
+  * external library. It is very easy for you to write a functor
+  * using such software, and the purpose is quite orthogonal to what we
+  * want to achieve with Eigen.
+  *
+  * This is why we will not provide wrappers for every great numerical
+  * differentiation software that exist, but should rather stick with those
+  * basic ones, that still are useful for testing.
+  *
+  * Also, the \ref NonLinearOptimization_Module needs this in order to
+  * provide full features compatibility with the original (c)minpack
+  * package.
+  *
+  */
+}
+
+//@{
+
+#include "src/NumericalDiff/NumericalDiff.h"
+
+//@}
+
+
+#endif // EIGEN_NUMERICALDIFF_MODULE
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/unsupported/Eigen/SpecialFunctions
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/unsupported/Eigen/SpecialFunctions	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/unsupported/Eigen/SpecialFunctions	(revision 3761)
@@ -0,0 +1,63 @@
+// This file is part of Eigen, a lightweight C++ template library
+// for linear algebra.
+//
+// Copyright (C) 2016 Gael Guennebaud <g.gael@free.fr>
+//
+// This Source Code Form is subject to the terms of the Mozilla
+// Public License v. 2.0. If a copy of the MPL was not distributed
+// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
+
+#ifndef EIGEN_SPECIALFUNCTIONS_MODULE
+#define EIGEN_SPECIALFUNCTIONS_MODULE
+
+#include <math.h>
+
+#include "../../Eigen/Core"
+
+#include "../../Eigen/src/Core/util/DisableStupidWarnings.h"
+
+namespace Eigen {
+
+/**
+  * \defgroup SpecialFunctions_Module Special math functions module
+  *
+  * This module features additional coefficient-wise math functions available
+  * within the numext:: namespace for the scalar version, and as method and/or free
+  * functions of Array. Those include:
+  *
+  * - erf
+  * - erfc
+  * - lgamma
+  * - igamma
+  * - igammac
+  * - digamma
+  * - polygamma
+  * - zeta
+  * - betainc
+  *
+  * \code
+  * #include <unsupported/Eigen/SpecialFunctions>
+  * \endcode
+  */
+//@{
+
+}
+
+#include "src/SpecialFunctions/SpecialFunctionsImpl.h"
+#include "src/SpecialFunctions/SpecialFunctionsPacketMath.h"
+#include "src/SpecialFunctions/SpecialFunctionsHalf.h"
+#include "src/SpecialFunctions/SpecialFunctionsFunctors.h"
+#include "src/SpecialFunctions/SpecialFunctionsArrayAPI.h"
+
+#if defined EIGEN_VECTORIZE_CUDA
+  #include "src/SpecialFunctions/arch/CUDA/CudaSpecialFunctions.h"
+#endif
+
+namespace Eigen {
+//@}
+}
+
+
+#include "../../Eigen/src/Core/util/ReenableStupidWarnings.h"
+
+#endif // EIGEN_SPECIALFUNCTIONS_MODULE
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/unsupported/Eigen/AlignedVector3
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/unsupported/Eigen/AlignedVector3	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/unsupported/Eigen/AlignedVector3	(revision 3761)
@@ -0,0 +1,224 @@
+// This file is part of Eigen, a lightweight C++ template library
+// for linear algebra.
+//
+// Copyright (C) 2009 Gael Guennebaud <g.gael@free.fr>
+//
+// This Source Code Form is subject to the terms of the Mozilla
+// Public License v. 2.0. If a copy of the MPL was not distributed
+// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
+
+#ifndef EIGEN_ALIGNED_VECTOR3
+#define EIGEN_ALIGNED_VECTOR3
+
+#include <Eigen/Geometry>
+
+namespace Eigen {
+
+/**
+  * \defgroup AlignedVector3_Module Aligned vector3 module
+  *
+  * \code
+  * #include <unsupported/Eigen/AlignedVector3>
+  * \endcode
+  */
+  //@{
+
+
+/** \class AlignedVector3
+  *
+  * \brief A vectorization friendly 3D vector
+  *
+  * This class represents a 3D vector internally using a 4D vector
+  * such that vectorization can be seamlessly enabled. Of course,
+  * the same result can be achieved by directly using a 4D vector.
+  * This class makes this process simpler.
+  *
+  */
+// TODO specialize Cwise
+template<typename _Scalar> class AlignedVector3;
+
+namespace internal {
+template<typename _Scalar> struct traits<AlignedVector3<_Scalar> >
+  : traits<Matrix<_Scalar,3,1,0,4,1> >
+{
+};
+}
+
+template<typename _Scalar> class AlignedVector3
+  : public MatrixBase<AlignedVector3<_Scalar> >
+{
+    typedef Matrix<_Scalar,4,1> CoeffType;
+    CoeffType m_coeffs;
+  public:
+
+    typedef MatrixBase<AlignedVector3<_Scalar> > Base;	
+    EIGEN_DENSE_PUBLIC_INTERFACE(AlignedVector3)
+    using Base::operator*;
+
+    inline Index rows() const { return 3; }
+    inline Index cols() const { return 1; }
+    
+    Scalar* data() { return m_coeffs.data(); }
+    const Scalar* data() const { return m_coeffs.data(); }
+    Index innerStride() const { return 1; }
+    Index outerStride() const { return 3; }
+
+    inline const Scalar& coeff(Index row, Index col) const
+    { return m_coeffs.coeff(row, col); }
+
+    inline Scalar& coeffRef(Index row, Index col)
+    { return m_coeffs.coeffRef(row, col); }
+
+    inline const Scalar& coeff(Index index) const
+    { return m_coeffs.coeff(index); }
+
+    inline Scalar& coeffRef(Index index)
+    { return m_coeffs.coeffRef(index);}
+
+
+    inline AlignedVector3(const Scalar& x, const Scalar& y, const Scalar& z)
+      : m_coeffs(x, y, z, Scalar(0))
+    {}
+
+    inline AlignedVector3(const AlignedVector3& other)
+      : Base(), m_coeffs(other.m_coeffs)
+    {}
+
+    template<typename XprType, int Size=XprType::SizeAtCompileTime>
+    struct generic_assign_selector {};
+
+    template<typename XprType> struct generic_assign_selector<XprType,4>
+    {
+      inline static void run(AlignedVector3& dest, const XprType& src)
+      {
+        dest.m_coeffs = src;
+      }
+    };
+
+    template<typename XprType> struct generic_assign_selector<XprType,3>
+    {
+      inline static void run(AlignedVector3& dest, const XprType& src)
+      {
+        dest.m_coeffs.template head<3>() = src;
+        dest.m_coeffs.w() = Scalar(0);
+      }
+    };
+
+    template<typename Derived>
+    inline AlignedVector3(const MatrixBase<Derived>& other)
+    {
+      generic_assign_selector<Derived>::run(*this,other.derived());
+    }
+
+    inline AlignedVector3& operator=(const AlignedVector3& other)
+    { m_coeffs = other.m_coeffs; return *this; }
+
+    template <typename Derived>
+    inline AlignedVector3& operator=(const MatrixBase<Derived>& other)
+    {
+      generic_assign_selector<Derived>::run(*this,other.derived());
+      return *this;
+    }
+
+    inline AlignedVector3 operator+(const AlignedVector3& other) const
+    { return AlignedVector3(m_coeffs + other.m_coeffs); }
+
+    inline AlignedVector3& operator+=(const AlignedVector3& other)
+    { m_coeffs += other.m_coeffs; return *this; }
+
+    inline AlignedVector3 operator-(const AlignedVector3& other) const
+    { return AlignedVector3(m_coeffs - other.m_coeffs); }
+
+    inline AlignedVector3 operator-=(const AlignedVector3& other)
+    { m_coeffs -= other.m_coeffs; return *this; }
+
+    inline AlignedVector3 operator*(const Scalar& s) const
+    { return AlignedVector3(m_coeffs * s); }
+
+    inline friend AlignedVector3 operator*(const Scalar& s,const AlignedVector3& vec)
+    { return AlignedVector3(s * vec.m_coeffs); }
+
+    inline AlignedVector3& operator*=(const Scalar& s)
+    { m_coeffs *= s; return *this; }
+
+    inline AlignedVector3 operator/(const Scalar& s) const
+    { return AlignedVector3(m_coeffs / s); }
+
+    inline AlignedVector3& operator/=(const Scalar& s)
+    { m_coeffs /= s; return *this; }
+
+    inline Scalar dot(const AlignedVector3& other) const
+    {
+      eigen_assert(m_coeffs.w()==Scalar(0));
+      eigen_assert(other.m_coeffs.w()==Scalar(0));
+      return m_coeffs.dot(other.m_coeffs);
+    }
+
+    inline void normalize()
+    {
+      m_coeffs /= norm();
+    }
+
+    inline AlignedVector3 normalized() const
+    {
+      return AlignedVector3(m_coeffs / norm());
+    }
+
+    inline Scalar sum() const
+    {
+      eigen_assert(m_coeffs.w()==Scalar(0));
+      return m_coeffs.sum();
+    }
+
+    inline Scalar squaredNorm() const
+    {
+      eigen_assert(m_coeffs.w()==Scalar(0));
+      return m_coeffs.squaredNorm();
+    }
+
+    inline Scalar norm() const
+    {
+      using std::sqrt;
+      return sqrt(squaredNorm());
+    }
+
+    inline AlignedVector3 cross(const AlignedVector3& other) const
+    {
+      return AlignedVector3(m_coeffs.cross3(other.m_coeffs));
+    }
+
+    template<typename Derived>
+    inline bool isApprox(const MatrixBase<Derived>& other, const RealScalar& eps=NumTraits<Scalar>::dummy_precision()) const
+    {
+      return m_coeffs.template head<3>().isApprox(other,eps);
+    }
+    
+    CoeffType& coeffs() { return m_coeffs; }
+    const CoeffType& coeffs() const { return m_coeffs; }
+};
+
+namespace internal {
+
+template<typename _Scalar>
+struct eval<AlignedVector3<_Scalar>, Dense>
+{
+ typedef const AlignedVector3<_Scalar>& type;
+};
+
+template<typename Scalar>
+struct evaluator<AlignedVector3<Scalar> >
+  : evaluator<Matrix<Scalar,4,1> >
+{
+  typedef AlignedVector3<Scalar> XprType;
+  typedef evaluator<Matrix<Scalar,4,1> > Base;
+  
+  evaluator(const XprType &m) : Base(m.coeffs()) {}  
+};
+
+}
+
+//@}
+
+}
+
+#endif // EIGEN_ALIGNED_VECTOR3
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/unsupported/Eigen/IterativeSolvers
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/unsupported/Eigen/IterativeSolvers	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/unsupported/Eigen/IterativeSolvers	(revision 3761)
@@ -0,0 +1,42 @@
+// This file is part of Eigen, a lightweight C++ template library
+// for linear algebra.
+//
+// Copyright (C) 2008-2009 Gael Guennebaud <g.gael@free.fr>
+//
+// This Source Code Form is subject to the terms of the Mozilla
+// Public License v. 2.0. If a copy of the MPL was not distributed
+// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
+
+#ifndef EIGEN_ITERATIVE_SOLVERS_MODULE_H
+#define EIGEN_ITERATIVE_SOLVERS_MODULE_H
+
+#include <Eigen/Sparse>
+
+/**
+  * \defgroup IterativeSolvers_Module Iterative solvers module
+  * This module aims to provide various iterative linear and non linear solver algorithms.
+  * It currently provides:
+  *  - a constrained conjugate gradient
+  *  - a Householder GMRES implementation
+  * \code
+  * #include <unsupported/Eigen/IterativeSolvers>
+  * \endcode
+  */
+//@{
+
+#ifndef EIGEN_MPL2_ONLY
+#include "src/IterativeSolvers/IterationController.h"
+#include "src/IterativeSolvers/ConstrainedConjGrad.h"
+#endif
+
+#include "src/IterativeSolvers/IncompleteLU.h"
+#include "../../Eigen/Jacobi"
+#include "../../Eigen/Householder"
+#include "src/IterativeSolvers/GMRES.h"
+#include "src/IterativeSolvers/DGMRES.h"
+//#include "src/IterativeSolvers/SSORPreconditioner.h"
+#include "src/IterativeSolvers/MINRES.h"
+
+//@}
+
+#endif // EIGEN_ITERATIVE_SOLVERS_MODULE_H
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/unsupported/Eigen/Splines
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/unsupported/Eigen/Splines	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/unsupported/Eigen/Splines	(revision 3761)
@@ -0,0 +1,31 @@
+// This file is part of Eigen, a lightweight C++ template library
+// for linear algebra.
+//
+// Copyright (C) 20010-2011 Hauke Heibel <hauke.heibel@gmail.com>
+//
+// This Source Code Form is subject to the terms of the Mozilla
+// Public License v. 2.0. If a copy of the MPL was not distributed
+// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
+
+#ifndef EIGEN_SPLINES_MODULE_H
+#define EIGEN_SPLINES_MODULE_H
+
+namespace Eigen 
+{
+/**
+  * \defgroup Splines_Module Spline and spline fitting module
+  *
+  * This module provides a simple multi-dimensional spline class while
+  * offering most basic functionality to fit a spline to point sets.
+  *
+  * \code
+  * #include <unsupported/Eigen/Splines>
+  * \endcode
+  */
+}
+
+#include "src/Splines/SplineFwd.h"
+#include "src/Splines/Spline.h"
+#include "src/Splines/SplineFitting.h"
+
+#endif // EIGEN_SPLINES_MODULE_H
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/unsupported/Eigen/MPRealSupport
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/unsupported/Eigen/MPRealSupport	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/unsupported/Eigen/MPRealSupport	(revision 3761)
@@ -0,0 +1,209 @@
+// This file is part of a joint effort between Eigen, a lightweight C++ template library
+// for linear algebra, and MPFR C++, a C++ interface to MPFR library (http://www.holoborodko.com/pavel/)
+//
+// Copyright (C) 2010-2012 Pavel Holoborodko <pavel@holoborodko.com>
+// Copyright (C) 2010 Konstantin Holoborodko <konstantin@holoborodko.com>
+// Copyright (C) 2010 Gael Guennebaud <gael.guennebaud@inria.fr>
+//
+// This Source Code Form is subject to the terms of the Mozilla
+// Public License v. 2.0. If a copy of the MPL was not distributed
+// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
+
+#ifndef EIGEN_MPREALSUPPORT_MODULE_H
+#define EIGEN_MPREALSUPPORT_MODULE_H
+
+#include <Eigen/Core>
+#include <mpreal.h>
+
+namespace Eigen {
+  
+/**
+  * \defgroup MPRealSupport_Module MPFRC++ Support module
+  * \code
+  * #include <Eigen/MPRealSupport>
+  * \endcode
+  *
+  * This module provides support for multi precision floating point numbers
+  * via the <a href="http://www.holoborodko.com/pavel/mpfr">MPFR C++</a>
+  * library which itself is built upon <a href="http://www.mpfr.org/">MPFR</a>/<a href="http://gmplib.org/">GMP</a>.
+  *
+  * \warning MPFR C++ is licensed under the GPL.
+  *
+  * You can find a copy of MPFR C++ that is known to be compatible in the unsupported/test/mpreal folder.
+  *
+  * Here is an example:
+  *
+\code
+#include <iostream>
+#include <Eigen/MPRealSupport>
+#include <Eigen/LU>
+using namespace mpfr;
+using namespace Eigen;
+int main()
+{
+  // set precision to 256 bits (double has only 53 bits)
+  mpreal::set_default_prec(256);
+  // Declare matrix and vector types with multi-precision scalar type
+  typedef Matrix<mpreal,Dynamic,Dynamic>  MatrixXmp;
+  typedef Matrix<mpreal,Dynamic,1>        VectorXmp;
+
+  MatrixXmp A = MatrixXmp::Random(100,100);
+  VectorXmp b = VectorXmp::Random(100);
+
+  // Solve Ax=b using LU
+  VectorXmp x = A.lu().solve(b);
+  std::cout << "relative error: " << (A*x - b).norm() / b.norm() << std::endl;
+  return 0;
+}
+\endcode
+  *
+  */
+	
+  template<> struct NumTraits<mpfr::mpreal>
+    : GenericNumTraits<mpfr::mpreal>
+  {
+    enum {
+      IsInteger = 0,
+      IsSigned = 1,
+      IsComplex = 0,
+      RequireInitialization = 1,
+      ReadCost = HugeCost,
+      AddCost  = HugeCost,
+      MulCost  = HugeCost
+    };
+
+    typedef mpfr::mpreal Real;
+    typedef mpfr::mpreal NonInteger;
+    
+    static inline Real highest  (long Precision = mpfr::mpreal::get_default_prec()) { return  mpfr::maxval(Precision); }
+    static inline Real lowest   (long Precision = mpfr::mpreal::get_default_prec()) { return -mpfr::maxval(Precision); }
+
+    // Constants
+    static inline Real Pi      (long Precision = mpfr::mpreal::get_default_prec())  { return mpfr::const_pi(Precision);        }
+    static inline Real Euler   (long Precision = mpfr::mpreal::get_default_prec())  { return mpfr::const_euler(Precision);     }
+    static inline Real Log2    (long Precision = mpfr::mpreal::get_default_prec())  { return mpfr::const_log2(Precision);      }
+    static inline Real Catalan (long Precision = mpfr::mpreal::get_default_prec())  { return mpfr::const_catalan(Precision);   }
+
+    static inline Real epsilon (long Precision = mpfr::mpreal::get_default_prec())  { return mpfr::machine_epsilon(Precision); }
+    static inline Real epsilon (const Real& x)                                      { return mpfr::machine_epsilon(x); }
+
+#ifdef MPREAL_HAVE_DYNAMIC_STD_NUMERIC_LIMITS
+    static inline int digits10 (long Precision = mpfr::mpreal::get_default_prec())  { return std::numeric_limits<Real>::digits10(Precision); }
+    static inline int digits10 (const Real& x)                                      { return std::numeric_limits<Real>::digits10(x); }
+#endif
+
+    static inline Real dummy_precision()
+    {
+      mpfr_prec_t weak_prec = ((mpfr::mpreal::get_default_prec()-1) * 90) / 100;
+      return mpfr::machine_epsilon(weak_prec);
+    }
+  };
+
+  namespace internal {
+
+  template<> inline mpfr::mpreal random<mpfr::mpreal>()
+  {
+    return mpfr::random();
+  }
+
+  template<> inline mpfr::mpreal random<mpfr::mpreal>(const mpfr::mpreal& a, const mpfr::mpreal& b)
+  {
+    return a + (b-a) * random<mpfr::mpreal>();
+  }
+
+  inline bool isMuchSmallerThan(const mpfr::mpreal& a, const mpfr::mpreal& b, const mpfr::mpreal& eps)
+  {
+    return mpfr::abs(a) <= mpfr::abs(b) * eps;
+  }
+
+  inline bool isApprox(const mpfr::mpreal& a, const mpfr::mpreal& b, const mpfr::mpreal& eps)
+  {
+    return mpfr::isEqualFuzzy(a,b,eps);
+  }
+
+  inline bool isApproxOrLessThan(const mpfr::mpreal& a, const mpfr::mpreal& b, const mpfr::mpreal& eps)
+  {
+    return a <= b || mpfr::isEqualFuzzy(a,b,eps);
+  }
+
+  template<> inline long double cast<mpfr::mpreal,long double>(const mpfr::mpreal& x)
+  { return x.toLDouble(); }
+
+  template<> inline double cast<mpfr::mpreal,double>(const mpfr::mpreal& x)
+  { return x.toDouble(); }
+
+  template<> inline long cast<mpfr::mpreal,long>(const mpfr::mpreal& x)
+  { return x.toLong(); }
+
+  template<> inline int cast<mpfr::mpreal,int>(const mpfr::mpreal& x)
+  { return int(x.toLong()); }
+
+  // Specialize GEBP kernel and traits for mpreal (no need for peeling, nor complicated stuff)
+  // This also permits to directly call mpfr's routines and avoid many temporaries produced by mpreal
+    template<>
+    class gebp_traits<mpfr::mpreal, mpfr::mpreal, false, false>
+    {
+    public:
+      typedef mpfr::mpreal ResScalar;
+      enum {
+        Vectorizable = false,
+        LhsPacketSize = 1,
+        RhsPacketSize = 1,
+        ResPacketSize = 1,
+        NumberOfRegisters = 1,
+        nr = 1,
+        mr = 1,
+        LhsProgress = 1,
+        RhsProgress = 1
+      };
+      typedef ResScalar LhsPacket;
+      typedef ResScalar RhsPacket;
+      typedef ResScalar ResPacket;
+      
+    };
+
+
+
+    template<typename Index, typename DataMapper, bool ConjugateLhs, bool ConjugateRhs>
+    struct gebp_kernel<mpfr::mpreal,mpfr::mpreal,Index,DataMapper,1,1,ConjugateLhs,ConjugateRhs>
+    {
+      typedef mpfr::mpreal mpreal;
+
+      EIGEN_DONT_INLINE
+      void operator()(const DataMapper& res, const mpreal* blockA, const mpreal* blockB, 
+                      Index rows, Index depth, Index cols, const mpreal& alpha,
+                      Index strideA=-1, Index strideB=-1, Index offsetA=0, Index offsetB=0)
+      {
+        if(rows==0 || cols==0 || depth==0)
+          return;
+
+        mpreal  acc1(0,mpfr_get_prec(blockA[0].mpfr_srcptr())),
+                tmp (0,mpfr_get_prec(blockA[0].mpfr_srcptr()));
+
+        if(strideA==-1) strideA = depth;
+        if(strideB==-1) strideB = depth;
+
+        for(Index i=0; i<rows; ++i)
+        {
+          for(Index j=0; j<cols; ++j)
+          {
+            const mpreal *A = blockA + i*strideA + offsetA;
+            const mpreal *B = blockB + j*strideB + offsetB;
+            
+            acc1 = 0;
+            for(Index k=0; k<depth; k++)
+            {
+              mpfr_mul(tmp.mpfr_ptr(), A[k].mpfr_srcptr(), B[k].mpfr_srcptr(), mpreal::get_default_rnd());
+              mpfr_add(acc1.mpfr_ptr(), acc1.mpfr_ptr(), tmp.mpfr_ptr(),  mpreal::get_default_rnd());
+            }
+            
+            mpfr_mul(acc1.mpfr_ptr(), acc1.mpfr_srcptr(), alpha.mpfr_srcptr(), mpreal::get_default_rnd());
+            mpfr_add(res(i,j).mpfr_ptr(), res(i,j).mpfr_srcptr(), acc1.mpfr_srcptr(),  mpreal::get_default_rnd());
+          }
+        }
+      }
+    };
+  } // end namespace internal
+}
+
+#endif // EIGEN_MPREALSUPPORT_MODULE_H
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/unsupported/Eigen/Skyline
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/unsupported/Eigen/Skyline	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/unsupported/Eigen/Skyline	(revision 3761)
@@ -0,0 +1,39 @@
+// This file is part of Eigen, a lightweight C++ template library
+// for linear algebra.
+//
+//
+// This Source Code Form is subject to the terms of the Mozilla
+// Public License v. 2.0. If a copy of the MPL was not distributed
+// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
+
+#ifndef EIGEN_SKYLINE_MODULE_H
+#define EIGEN_SKYLINE_MODULE_H
+
+
+#include "Eigen/Core"
+
+#include "Eigen/src/Core/util/DisableStupidWarnings.h"
+
+#include <map>
+#include <cstdlib>
+#include <cstring>
+#include <algorithm>
+
+/**
+ *  \defgroup Skyline_Module Skyline module
+ *
+ *
+ *
+ *
+ */
+
+#include "src/Skyline/SkylineUtil.h"
+#include "src/Skyline/SkylineMatrixBase.h"
+#include "src/Skyline/SkylineStorage.h"
+#include "src/Skyline/SkylineMatrix.h"
+#include "src/Skyline/SkylineInplaceLU.h"
+#include "src/Skyline/SkylineProduct.h"
+
+#include "Eigen/src/Core/util/ReenableStupidWarnings.h"
+
+#endif // EIGEN_SKYLINE_MODULE_H
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/unsupported/Eigen/FFT
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/unsupported/Eigen/FFT	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/unsupported/Eigen/FFT	(revision 3761)
@@ -0,0 +1,419 @@
+// This file is part of Eigen, a lightweight C++ template library
+// for linear algebra. 
+//
+// Copyright (C) 2009 Mark Borgerding mark a borgerding net
+//
+// This Source Code Form is subject to the terms of the Mozilla
+// Public License v. 2.0. If a copy of the MPL was not distributed
+// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
+
+#ifndef EIGEN_FFT_H
+#define EIGEN_FFT_H
+
+#include <complex>
+#include <vector>
+#include <map>
+#include <Eigen/Core>
+
+
+/**
+  * \defgroup FFT_Module Fast Fourier Transform module
+  *
+  * \code
+  * #include <unsupported/Eigen/FFT>
+  * \endcode
+  *
+  * This module provides Fast Fourier transformation, with a configurable backend
+  * implementation.
+  *
+  * The default implementation is based on kissfft. It is a small, free, and
+  * reasonably efficient default.
+  *
+  * There are currently two implementation backend:
+  *
+  * - fftw (http://www.fftw.org) : faster, GPL -- incompatible with Eigen in LGPL form, bigger code size.
+  * - MKL (http://en.wikipedia.org/wiki/Math_Kernel_Library) : fastest, commercial -- may be incompatible with Eigen in GPL form.
+  *
+  * \section FFTDesign Design
+  *
+  * The following design decisions were made concerning scaling and
+  * half-spectrum for real FFT.
+  *
+  * The intent is to facilitate generic programming and ease migrating code
+  * from  Matlab/octave.
+  * We think the default behavior of Eigen/FFT should favor correctness and
+  * generality over speed. Of course, the caller should be able to "opt-out" from this
+  * behavior and get the speed increase if they want it.
+  *
+  * 1) %Scaling:
+  * Other libraries (FFTW,IMKL,KISSFFT)  do not perform scaling, so there
+  * is a constant gain incurred after the forward&inverse transforms , so 
+  * IFFT(FFT(x)) = Kx;  this is done to avoid a vector-by-value multiply.  
+  * The downside is that algorithms that worked correctly in Matlab/octave 
+  * don't behave the same way once implemented in C++.
+  *
+  * How Eigen/FFT differs: invertible scaling is performed so IFFT( FFT(x) ) = x. 
+  *
+  * 2) Real FFT half-spectrum
+  * Other libraries use only half the frequency spectrum (plus one extra 
+  * sample for the Nyquist bin) for a real FFT, the other half is the 
+  * conjugate-symmetric of the first half.  This saves them a copy and some 
+  * memory.  The downside is the caller needs to have special logic for the 
+  * number of bins in complex vs real.
+  *
+  * How Eigen/FFT differs: The full spectrum is returned from the forward 
+  * transform.  This facilitates generic template programming by obviating 
+  * separate specializations for real vs complex.  On the inverse
+  * transform, only half the spectrum is actually used if the output type is real.
+  */
+ 
+
+#ifdef EIGEN_FFTW_DEFAULT
+// FFTW: faster, GPL -- incompatible with Eigen in LGPL form, bigger code size
+#  include <fftw3.h>
+#  include "src/FFT/ei_fftw_impl.h"
+   namespace Eigen {
+     //template <typename T> typedef struct internal::fftw_impl  default_fft_impl; this does not work
+     template <typename T> struct default_fft_impl : public internal::fftw_impl<T> {};
+   }
+#elif defined EIGEN_MKL_DEFAULT
+// TODO 
+// intel Math Kernel Library: fastest, commercial -- may be incompatible with Eigen in GPL form
+#  include "src/FFT/ei_imklfft_impl.h"
+   namespace Eigen {
+     template <typename T> struct default_fft_impl : public internal::imklfft_impl {};
+   }
+#else
+// internal::kissfft_impl:  small, free, reasonably efficient default, derived from kissfft
+//
+# include "src/FFT/ei_kissfft_impl.h"
+  namespace Eigen {
+     template <typename T> 
+       struct default_fft_impl : public internal::kissfft_impl<T> {};
+  }
+#endif
+
+namespace Eigen {
+
+ 
+// 
+template<typename T_SrcMat,typename T_FftIfc> struct fft_fwd_proxy;
+template<typename T_SrcMat,typename T_FftIfc> struct fft_inv_proxy;
+
+namespace internal {
+template<typename T_SrcMat,typename T_FftIfc>
+struct traits< fft_fwd_proxy<T_SrcMat,T_FftIfc> >
+{
+  typedef typename T_SrcMat::PlainObject ReturnType;
+};
+template<typename T_SrcMat,typename T_FftIfc>
+struct traits< fft_inv_proxy<T_SrcMat,T_FftIfc> >
+{
+  typedef typename T_SrcMat::PlainObject ReturnType;
+};
+}
+
+template<typename T_SrcMat,typename T_FftIfc> 
+struct fft_fwd_proxy
+ : public ReturnByValue<fft_fwd_proxy<T_SrcMat,T_FftIfc> >
+{
+  typedef DenseIndex Index;
+
+  fft_fwd_proxy(const T_SrcMat& src,T_FftIfc & fft, Index nfft) : m_src(src),m_ifc(fft), m_nfft(nfft) {}
+
+  template<typename T_DestMat> void evalTo(T_DestMat& dst) const;
+
+  Index rows() const { return m_src.rows(); }
+  Index cols() const { return m_src.cols(); }
+protected:
+  const T_SrcMat & m_src;
+  T_FftIfc & m_ifc;
+  Index m_nfft;
+private:
+  fft_fwd_proxy& operator=(const fft_fwd_proxy&);
+};
+
+template<typename T_SrcMat,typename T_FftIfc> 
+struct fft_inv_proxy
+ : public ReturnByValue<fft_inv_proxy<T_SrcMat,T_FftIfc> >
+{
+  typedef DenseIndex Index;
+
+  fft_inv_proxy(const T_SrcMat& src,T_FftIfc & fft, Index nfft) : m_src(src),m_ifc(fft), m_nfft(nfft) {}
+
+  template<typename T_DestMat> void evalTo(T_DestMat& dst) const;
+
+  Index rows() const { return m_src.rows(); }
+  Index cols() const { return m_src.cols(); }
+protected:
+  const T_SrcMat & m_src;
+  T_FftIfc & m_ifc;
+  Index m_nfft;
+private:
+  fft_inv_proxy& operator=(const fft_inv_proxy&);
+};
+
+
+template <typename T_Scalar,
+         typename T_Impl=default_fft_impl<T_Scalar> >
+class FFT
+{
+  public:
+    typedef T_Impl impl_type;
+    typedef DenseIndex Index;
+    typedef typename impl_type::Scalar Scalar;
+    typedef typename impl_type::Complex Complex;
+
+    enum Flag {
+      Default=0, // goof proof
+      Unscaled=1,
+      HalfSpectrum=2,
+      // SomeOtherSpeedOptimization=4
+      Speedy=32767
+    };
+
+    FFT( const impl_type & impl=impl_type() , Flag flags=Default ) :m_impl(impl),m_flag(flags) { }
+
+    inline
+    bool HasFlag(Flag f) const { return (m_flag & (int)f) == f;}
+
+    inline
+    void SetFlag(Flag f) { m_flag |= (int)f;}
+
+    inline
+    void ClearFlag(Flag f) { m_flag &= (~(int)f);}
+
+    inline
+    void fwd( Complex * dst, const Scalar * src, Index nfft)
+    {
+        m_impl.fwd(dst,src,static_cast<int>(nfft));
+        if ( HasFlag(HalfSpectrum) == false)
+          ReflectSpectrum(dst,nfft);
+    }
+
+    inline
+    void fwd( Complex * dst, const Complex * src, Index nfft)
+    {
+        m_impl.fwd(dst,src,static_cast<int>(nfft));
+    }
+
+    /*
+    inline 
+    void fwd2(Complex * dst, const Complex * src, int n0,int n1)
+    {
+      m_impl.fwd2(dst,src,n0,n1);
+    }
+    */
+
+    template <typename _Input>
+    inline
+    void fwd( std::vector<Complex> & dst, const std::vector<_Input> & src) 
+    {
+      if ( NumTraits<_Input>::IsComplex == 0 && HasFlag(HalfSpectrum) )
+        dst.resize( (src.size()>>1)+1); // half the bins + Nyquist bin
+      else
+        dst.resize(src.size());
+      fwd(&dst[0],&src[0],src.size());
+    }
+
+    template<typename InputDerived, typename ComplexDerived>
+    inline
+    void fwd( MatrixBase<ComplexDerived> & dst, const MatrixBase<InputDerived> & src, Index nfft=-1)
+    {
+      typedef typename ComplexDerived::Scalar dst_type;
+      typedef typename InputDerived::Scalar src_type;
+      EIGEN_STATIC_ASSERT_VECTOR_ONLY(InputDerived)
+      EIGEN_STATIC_ASSERT_VECTOR_ONLY(ComplexDerived)
+      EIGEN_STATIC_ASSERT_SAME_VECTOR_SIZE(ComplexDerived,InputDerived) // size at compile-time
+      EIGEN_STATIC_ASSERT((internal::is_same<dst_type, Complex>::value),
+            YOU_MIXED_DIFFERENT_NUMERIC_TYPES__YOU_NEED_TO_USE_THE_CAST_METHOD_OF_MATRIXBASE_TO_CAST_NUMERIC_TYPES_EXPLICITLY)
+      EIGEN_STATIC_ASSERT(int(InputDerived::Flags)&int(ComplexDerived::Flags)&DirectAccessBit,
+            THIS_METHOD_IS_ONLY_FOR_EXPRESSIONS_WITH_DIRECT_MEMORY_ACCESS_SUCH_AS_MAP_OR_PLAIN_MATRICES)
+
+      if (nfft<1)
+        nfft = src.size();
+
+      if ( NumTraits< src_type >::IsComplex == 0 && HasFlag(HalfSpectrum) )
+        dst.derived().resize( (nfft>>1)+1);
+      else
+        dst.derived().resize(nfft);
+
+      if ( src.innerStride() != 1 || src.size() < nfft ) {
+        Matrix<src_type,1,Dynamic> tmp;
+        if (src.size()<nfft) {
+          tmp.setZero(nfft);
+          tmp.block(0,0,src.size(),1 ) = src;
+        }else{
+          tmp = src;
+        }
+        fwd( &dst[0],&tmp[0],nfft );
+      }else{
+        fwd( &dst[0],&src[0],nfft );
+      }
+    }
+ 
+    template<typename InputDerived>
+    inline
+    fft_fwd_proxy< MatrixBase<InputDerived>, FFT<T_Scalar,T_Impl> >
+    fwd( const MatrixBase<InputDerived> & src, Index nfft=-1)
+    {
+      return fft_fwd_proxy< MatrixBase<InputDerived> ,FFT<T_Scalar,T_Impl> >( src, *this,nfft );
+    }
+
+    template<typename InputDerived>
+    inline
+    fft_inv_proxy< MatrixBase<InputDerived>, FFT<T_Scalar,T_Impl> >
+    inv( const MatrixBase<InputDerived> & src, Index nfft=-1)
+    {
+      return  fft_inv_proxy< MatrixBase<InputDerived> ,FFT<T_Scalar,T_Impl> >( src, *this,nfft );
+    }
+
+    inline
+    void inv( Complex * dst, const Complex * src, Index nfft)
+    {
+      m_impl.inv( dst,src,static_cast<int>(nfft) );
+      if ( HasFlag( Unscaled ) == false)
+        scale(dst,Scalar(1./nfft),nfft); // scale the time series
+    }
+
+    inline
+    void inv( Scalar * dst, const Complex * src, Index nfft)
+    {
+      m_impl.inv( dst,src,static_cast<int>(nfft) );
+      if ( HasFlag( Unscaled ) == false)
+        scale(dst,Scalar(1./nfft),nfft); // scale the time series
+    }
+
+    template<typename OutputDerived, typename ComplexDerived>
+    inline
+    void inv( MatrixBase<OutputDerived> & dst, const MatrixBase<ComplexDerived> & src, Index nfft=-1)
+    {
+      typedef typename ComplexDerived::Scalar src_type;
+      typedef typename ComplexDerived::RealScalar real_type;
+      typedef typename OutputDerived::Scalar dst_type;
+      const bool realfft= (NumTraits<dst_type>::IsComplex == 0);
+      EIGEN_STATIC_ASSERT_VECTOR_ONLY(OutputDerived)
+      EIGEN_STATIC_ASSERT_VECTOR_ONLY(ComplexDerived)
+      EIGEN_STATIC_ASSERT_SAME_VECTOR_SIZE(ComplexDerived,OutputDerived) // size at compile-time
+      EIGEN_STATIC_ASSERT((internal::is_same<src_type, Complex>::value),
+            YOU_MIXED_DIFFERENT_NUMERIC_TYPES__YOU_NEED_TO_USE_THE_CAST_METHOD_OF_MATRIXBASE_TO_CAST_NUMERIC_TYPES_EXPLICITLY)
+      EIGEN_STATIC_ASSERT(int(OutputDerived::Flags)&int(ComplexDerived::Flags)&DirectAccessBit,
+            THIS_METHOD_IS_ONLY_FOR_EXPRESSIONS_WITH_DIRECT_MEMORY_ACCESS_SUCH_AS_MAP_OR_PLAIN_MATRICES)
+
+      if (nfft<1) { //automatic FFT size determination
+        if ( realfft && HasFlag(HalfSpectrum) ) 
+          nfft = 2*(src.size()-1); //assume even fft size
+        else
+          nfft = src.size();
+      }
+      dst.derived().resize( nfft );
+
+      // check for nfft that does not fit the input data size
+      Index resize_input= ( realfft && HasFlag(HalfSpectrum) )
+        ? ( (nfft/2+1) - src.size() )
+        : ( nfft - src.size() );
+
+      if ( src.innerStride() != 1 || resize_input ) {
+        // if the vector is strided, then we need to copy it to a packed temporary
+        Matrix<src_type,1,Dynamic> tmp;
+        if ( resize_input ) {
+          size_t ncopy = (std::min)(src.size(),src.size() + resize_input);
+          tmp.setZero(src.size() + resize_input);
+          if ( realfft && HasFlag(HalfSpectrum) ) {
+            // pad at the Nyquist bin
+            tmp.head(ncopy) = src.head(ncopy);
+            tmp(ncopy-1) = real(tmp(ncopy-1)); // enforce real-only Nyquist bin
+          }else{
+            size_t nhead,ntail;
+            nhead = 1+ncopy/2-1; // range  [0:pi)
+            ntail = ncopy/2-1;   // range (-pi:0)
+            tmp.head(nhead) = src.head(nhead);
+            tmp.tail(ntail) = src.tail(ntail);
+            if (resize_input<0) { //shrinking -- create the Nyquist bin as the average of the two bins that fold into it
+              tmp(nhead) = ( src(nfft/2) + src( src.size() - nfft/2 ) )*real_type(.5);
+            }else{ // expanding -- split the old Nyquist bin into two halves
+              tmp(nhead) = src(nhead) * real_type(.5);
+              tmp(tmp.size()-nhead) = tmp(nhead);
+            }
+          }
+        }else{
+          tmp = src;
+        }
+        inv( &dst[0],&tmp[0], nfft);
+      }else{
+        inv( &dst[0],&src[0], nfft);
+      }
+    }
+
+    template <typename _Output>
+    inline
+    void inv( std::vector<_Output> & dst, const std::vector<Complex> & src,Index nfft=-1)
+    {
+      if (nfft<1)
+        nfft = ( NumTraits<_Output>::IsComplex == 0 && HasFlag(HalfSpectrum) ) ? 2*(src.size()-1) : src.size();
+      dst.resize( nfft );
+      inv( &dst[0],&src[0],nfft);
+    }
+
+
+    /*
+    // TODO: multi-dimensional FFTs
+    inline 
+    void inv2(Complex * dst, const Complex * src, int n0,int n1)
+    {
+      m_impl.inv2(dst,src,n0,n1);
+      if ( HasFlag( Unscaled ) == false)
+          scale(dst,1./(n0*n1),n0*n1);
+    }
+  */
+
+    inline
+    impl_type & impl() {return m_impl;}
+  private:
+
+    template <typename T_Data>
+    inline
+    void scale(T_Data * x,Scalar s,Index nx)
+    {
+#if 1
+      for (int k=0;k<nx;++k)
+        *x++ *= s;
+#else
+      if ( ((ptrdiff_t)x) & 15 )
+        Matrix<T_Data, Dynamic, 1>::Map(x,nx) *= s;
+      else
+        Matrix<T_Data, Dynamic, 1>::MapAligned(x,nx) *= s;
+         //Matrix<T_Data, Dynamic, Dynamic>::Map(x,nx) * s;
+#endif  
+    }
+
+    inline
+    void ReflectSpectrum(Complex * freq, Index nfft)
+    {
+      // create the implicit right-half spectrum (conjugate-mirror of the left-half)
+      Index nhbins=(nfft>>1)+1;
+      for (Index k=nhbins;k < nfft; ++k )
+        freq[k] = conj(freq[nfft-k]);
+    }
+
+    impl_type m_impl;
+    int m_flag;
+};
+
+template<typename T_SrcMat,typename T_FftIfc> 
+template<typename T_DestMat> inline 
+void fft_fwd_proxy<T_SrcMat,T_FftIfc>::evalTo(T_DestMat& dst) const
+{
+    m_ifc.fwd( dst, m_src, m_nfft);
+}
+
+template<typename T_SrcMat,typename T_FftIfc> 
+template<typename T_DestMat> inline 
+void fft_inv_proxy<T_SrcMat,T_FftIfc>::evalTo(T_DestMat& dst) const
+{
+    m_ifc.inv( dst, m_src, m_nfft);
+}
+
+}
+#endif
+/* vim: set filetype=cpp et sw=2 ts=2 ai: */
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/unsupported/Eigen/BVH
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/unsupported/Eigen/BVH	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/unsupported/Eigen/BVH	(revision 3761)
@@ -0,0 +1,95 @@
+// This file is part of Eigen, a lightweight C++ template library
+// for linear algebra.
+//
+// Copyright (C) 2009 Ilya Baran <ibaran@mit.edu>
+//
+// This Source Code Form is subject to the terms of the Mozilla
+// Public License v. 2.0. If a copy of the MPL was not distributed
+// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
+
+#ifndef EIGEN_BVH_MODULE_H
+#define EIGEN_BVH_MODULE_H
+
+#include <Eigen/Core>
+#include <Eigen/Geometry>
+#include <Eigen/StdVector>
+#include <algorithm>
+#include <queue>
+
+namespace Eigen {
+
+/**
+  * \defgroup BVH_Module BVH module
+  * \brief This module provides generic bounding volume hierarchy algorithms
+  * and reference tree implementations.
+  *
+  *
+  * \code
+  * #include <unsupported/Eigen/BVH>
+  * \endcode
+  *
+  * A bounding volume hierarchy (BVH) can accelerate many geometric queries.  This module provides a generic implementation
+  * of the two basic algorithms over a BVH: intersection of a query object against all objects in the hierarchy and minimization
+  * of a function over the objects in the hierarchy.  It also provides intersection and minimization over a cartesian product of
+  * two BVH's.  A BVH accelerates intersection by using the fact that if a query object does not intersect a volume, then it cannot
+  * intersect any object contained in that volume.  Similarly, a BVH accelerates minimization because the minimum of a function
+  * over a volume is no greater than the minimum of a function over any object contained in it.
+  *
+  * Some sample queries that can be written in terms of intersection are:
+  *   - Determine all points where a ray intersects a triangle mesh
+  *   - Given a set of points, determine which are contained in a query sphere
+  *   - Given a set of spheres, determine which contain the query point
+  *   - Given a set of disks, determine if any is completely contained in a query rectangle (represent each 2D disk as a point \f$(x,y,r)\f$
+  *     in 3D and represent the rectangle as a pyramid based on the original rectangle and shrinking in the \f$r\f$ direction)
+  *   - Given a set of points, count how many pairs are \f$d\pm\epsilon\f$ apart (done by looking at the cartesian product of the set
+  *     of points with itself)
+  *
+  * Some sample queries that can be written in terms of function minimization over a set of objects are:
+  *   - Find the intersection between a ray and a triangle mesh closest to the ray origin (function is infinite off the ray)
+  *   - Given a polyline and a query point, determine the closest point on the polyline to the query
+  *   - Find the diameter of a point cloud (done by looking at the cartesian product and using negative distance as the function)
+  *   - Determine how far two meshes are from colliding (this is also a cartesian product query)
+  *
+  * This implementation decouples the basic algorithms both from the type of hierarchy (and the types of the bounding volumes) and
+  * from the particulars of the query.  To enable abstraction from the BVH, the BVH is required to implement a generic mechanism
+  * for traversal.  To abstract from the query, the query is responsible for keeping track of results.
+  *
+  * To be used in the algorithms, a hierarchy must implement the following traversal mechanism (see KdBVH for a sample implementation): \code
+      typedef Volume  //the type of bounding volume
+      typedef Object  //the type of object in the hierarchy
+      typedef Index   //a reference to a node in the hierarchy--typically an int or a pointer
+      typedef VolumeIterator //an iterator type over node children--returns Index
+      typedef ObjectIterator //an iterator over object (leaf) children--returns const Object &
+      Index getRootIndex() const //returns the index of the hierarchy root
+      const Volume &getVolume(Index index) const //returns the bounding volume of the node at given index
+      void getChildren(Index index, VolumeIterator &outVBegin, VolumeIterator &outVEnd,
+                      ObjectIterator &outOBegin, ObjectIterator &outOEnd) const
+      //getChildren takes a node index and makes [outVBegin, outVEnd) range over its node children
+      //and [outOBegin, outOEnd) range over its object children
+    \endcode
+  *
+  * To use the hierarchy, call BVIntersect or BVMinimize, passing it a BVH (or two, for cartesian product) and a minimizer or intersector.
+  * For an intersection query on a single BVH, the intersector encapsulates the query and must provide two functions:
+  * \code
+      bool intersectVolume(const Volume &volume) //returns true if the query intersects the volume
+      bool intersectObject(const Object &object) //returns true if the intersection search should terminate immediately
+    \endcode
+  * The guarantee that BVIntersect provides is that intersectObject will be called on every object whose bounding volume
+  * intersects the query (but possibly on other objects too) unless the search is terminated prematurely.  It is the
+  * responsibility of the intersectObject function to keep track of the results in whatever manner is appropriate.
+  * The cartesian product intersection and the BVMinimize queries are similar--see their individual documentation.
+  *
+  * The following is a simple but complete example for how to use the BVH to accelerate the search for a closest red-blue point pair:
+  * \include BVH_Example.cpp
+  * Output: \verbinclude BVH_Example.out
+  */
+}
+
+//@{
+
+#include "src/BVH/BVAlgorithms.h"
+#include "src/BVH/KdBVH.h"
+
+//@}
+
+#endif // EIGEN_BVH_MODULE_H
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/unsupported/Eigen/OpenGLSupport
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/unsupported/Eigen/OpenGLSupport	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/unsupported/Eigen/OpenGLSupport	(revision 3761)
@@ -0,0 +1,322 @@
+// This file is part of Eigen, a lightweight C++ template library
+// for linear algebra.
+//
+// Copyright (C) 2010 Gael Guennebaud <gael.guennebaud@inria.fr>
+//
+// This Source Code Form is subject to the terms of the Mozilla
+// Public License v. 2.0. If a copy of the MPL was not distributed
+// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
+
+#ifndef EIGEN_OPENGL_MODULE
+#define EIGEN_OPENGL_MODULE
+
+#include <Eigen/Geometry>
+
+#if defined(__APPLE_CC__)
+  #include <OpenGL/gl.h>
+#else
+  #include <GL/gl.h>
+#endif
+
+namespace Eigen {
+
+/**
+  * \defgroup OpenGLSUpport_Module OpenGL Support module
+  *
+  * This module provides wrapper functions for a couple of OpenGL functions
+  * which simplify the way to pass Eigen's object to openGL.
+  * Here is an exmaple:
+  * 
+  * \code
+  * // You need to add path_to_eigen/unsupported to your include path.
+  * #include <Eigen/OpenGLSupport>
+  * // ...
+  * Vector3f x, y;
+  * Matrix3f rot;
+  * 
+  * glVertex(y + x * rot);
+  * 
+  * Quaternion q;
+  * glRotate(q);
+  * 
+  * // ...
+  * \endcode
+  *
+  */
+//@{
+
+#define EIGEN_GL_FUNC_DECLARATION(FUNC)                                                                             \
+namespace internal {                                                                                                \
+  template< typename XprType,                                                                                       \
+            typename Scalar = typename XprType::Scalar,                                                             \
+            int Rows = XprType::RowsAtCompileTime,                                                                  \
+            int Cols = XprType::ColsAtCompileTime,                                                                  \
+            bool IsGLCompatible = bool(internal::evaluator<XprType>::Flags&LinearAccessBit)                         \
+                              && bool(XprType::Flags&DirectAccessBit)                                               \
+                              && (XprType::IsVectorAtCompileTime || (XprType::Flags&RowMajorBit)==0)>               \
+  struct EIGEN_CAT(EIGEN_CAT(gl_,FUNC),_impl);                                                                      \
+                                                                                                                    \
+  template<typename XprType, typename Scalar, int Rows, int Cols>                                                   \
+  struct EIGEN_CAT(EIGEN_CAT(gl_,FUNC),_impl)<XprType,Scalar,Rows,Cols,false> {                                     \
+    inline static void run(const XprType& p) {                                                                      \
+      EIGEN_CAT(EIGEN_CAT(gl_,FUNC),_impl)<typename plain_matrix_type_column_major<XprType>::type>::run(p); }       \
+  };                                                                                                                \
+}                                                                                                                   \
+                                                                                                                    \
+template<typename Derived> inline void FUNC(const Eigen::DenseBase<Derived>& p) {                                   \
+  EIGEN_CAT(EIGEN_CAT(internal::gl_,FUNC),_impl)<Derived>::run(p.derived());                                        \
+}
+
+
+#define EIGEN_GL_FUNC_SPECIALIZATION_MAT(FUNC,SCALAR,ROWS,COLS,SUFFIX)                                              \
+namespace internal {                                                                                                \
+  template< typename XprType> struct EIGEN_CAT(EIGEN_CAT(gl_,FUNC),_impl)<XprType, SCALAR, ROWS, COLS, true> {      \
+    inline static void run(const XprType& p) { FUNC##SUFFIX(p.data()); }                                            \
+  };                                                                                                                \
+}
+
+  
+#define EIGEN_GL_FUNC_SPECIALIZATION_VEC(FUNC,SCALAR,SIZE,SUFFIX)                                                   \
+namespace internal {                                                                                                \
+  template< typename XprType> struct EIGEN_CAT(EIGEN_CAT(gl_,FUNC),_impl)<XprType, SCALAR, SIZE, 1, true> {         \
+    inline static void run(const XprType& p) { FUNC##SUFFIX(p.data()); }                                            \
+  };                                                                                                                \
+  template< typename XprType> struct EIGEN_CAT(EIGEN_CAT(gl_,FUNC),_impl)<XprType, SCALAR, 1, SIZE, true> {         \
+    inline static void run(const XprType& p) { FUNC##SUFFIX(p.data()); }                                            \
+  };                                                                                                                \
+}
+
+  
+EIGEN_GL_FUNC_DECLARATION       (glVertex)
+EIGEN_GL_FUNC_SPECIALIZATION_VEC(glVertex,int,    2,2iv)
+EIGEN_GL_FUNC_SPECIALIZATION_VEC(glVertex,short,  2,2sv)
+EIGEN_GL_FUNC_SPECIALIZATION_VEC(glVertex,float,  2,2fv)
+EIGEN_GL_FUNC_SPECIALIZATION_VEC(glVertex,double, 2,2dv)
+EIGEN_GL_FUNC_SPECIALIZATION_VEC(glVertex,int,    3,3iv)
+EIGEN_GL_FUNC_SPECIALIZATION_VEC(glVertex,short,  3,3sv)
+EIGEN_GL_FUNC_SPECIALIZATION_VEC(glVertex,float,  3,3fv)
+EIGEN_GL_FUNC_SPECIALIZATION_VEC(glVertex,double, 3,3dv)
+EIGEN_GL_FUNC_SPECIALIZATION_VEC(glVertex,int,    4,4iv)
+EIGEN_GL_FUNC_SPECIALIZATION_VEC(glVertex,short,  4,4sv)
+EIGEN_GL_FUNC_SPECIALIZATION_VEC(glVertex,float,  4,4fv)
+EIGEN_GL_FUNC_SPECIALIZATION_VEC(glVertex,double, 4,4dv)
+
+EIGEN_GL_FUNC_DECLARATION       (glTexCoord)
+EIGEN_GL_FUNC_SPECIALIZATION_VEC(glTexCoord,int,    2,2iv)
+EIGEN_GL_FUNC_SPECIALIZATION_VEC(glTexCoord,short,  2,2sv)
+EIGEN_GL_FUNC_SPECIALIZATION_VEC(glTexCoord,float,  2,2fv)
+EIGEN_GL_FUNC_SPECIALIZATION_VEC(glTexCoord,double, 2,2dv)
+EIGEN_GL_FUNC_SPECIALIZATION_VEC(glTexCoord,int,    3,3iv)
+EIGEN_GL_FUNC_SPECIALIZATION_VEC(glTexCoord,short,  3,3sv)
+EIGEN_GL_FUNC_SPECIALIZATION_VEC(glTexCoord,float,  3,3fv)
+EIGEN_GL_FUNC_SPECIALIZATION_VEC(glTexCoord,double, 3,3dv)
+EIGEN_GL_FUNC_SPECIALIZATION_VEC(glTexCoord,int,    4,4iv)
+EIGEN_GL_FUNC_SPECIALIZATION_VEC(glTexCoord,short,  4,4sv)
+EIGEN_GL_FUNC_SPECIALIZATION_VEC(glTexCoord,float,  4,4fv)
+EIGEN_GL_FUNC_SPECIALIZATION_VEC(glTexCoord,double, 4,4dv)
+
+EIGEN_GL_FUNC_DECLARATION       (glColor)
+EIGEN_GL_FUNC_SPECIALIZATION_VEC(glColor,int,    2,2iv)
+EIGEN_GL_FUNC_SPECIALIZATION_VEC(glColor,short,  2,2sv)
+EIGEN_GL_FUNC_SPECIALIZATION_VEC(glColor,float,  2,2fv)
+EIGEN_GL_FUNC_SPECIALIZATION_VEC(glColor,double, 2,2dv)
+EIGEN_GL_FUNC_SPECIALIZATION_VEC(glColor,int,    3,3iv)
+EIGEN_GL_FUNC_SPECIALIZATION_VEC(glColor,short,  3,3sv)
+EIGEN_GL_FUNC_SPECIALIZATION_VEC(glColor,float,  3,3fv)
+EIGEN_GL_FUNC_SPECIALIZATION_VEC(glColor,double, 3,3dv)
+EIGEN_GL_FUNC_SPECIALIZATION_VEC(glColor,int,    4,4iv)
+EIGEN_GL_FUNC_SPECIALIZATION_VEC(glColor,short,  4,4sv)
+EIGEN_GL_FUNC_SPECIALIZATION_VEC(glColor,float,  4,4fv)
+EIGEN_GL_FUNC_SPECIALIZATION_VEC(glColor,double, 4,4dv)
+
+EIGEN_GL_FUNC_DECLARATION       (glNormal)
+EIGEN_GL_FUNC_SPECIALIZATION_VEC(glNormal,int,    3,3iv)
+EIGEN_GL_FUNC_SPECIALIZATION_VEC(glNormal,short,  3,3sv)
+EIGEN_GL_FUNC_SPECIALIZATION_VEC(glNormal,float,  3,3fv)
+EIGEN_GL_FUNC_SPECIALIZATION_VEC(glNormal,double, 3,3dv)
+
+inline void glScale2fv(const float*  v) { glScalef(v[0], v[1], 1.f);  }
+inline void glScale2dv(const double* v) { glScaled(v[0], v[1], 1.0);  }
+inline void glScale3fv(const float*  v) { glScalef(v[0], v[1], v[2]); }
+inline void glScale3dv(const double* v) { glScaled(v[0], v[1], v[2]); }
+
+EIGEN_GL_FUNC_DECLARATION       (glScale)
+EIGEN_GL_FUNC_SPECIALIZATION_VEC(glScale,float,  2,2fv)
+EIGEN_GL_FUNC_SPECIALIZATION_VEC(glScale,double, 2,2dv)
+EIGEN_GL_FUNC_SPECIALIZATION_VEC(glScale,float,  3,3fv)
+EIGEN_GL_FUNC_SPECIALIZATION_VEC(glScale,double, 3,3dv)
+
+template<typename Scalar> void glScale(const UniformScaling<Scalar>& s)  { glScale(Matrix<Scalar,3,1>::Constant(s.factor())); }
+
+inline void glTranslate2fv(const float*  v) { glTranslatef(v[0], v[1], 0.f);  }
+inline void glTranslate2dv(const double* v) { glTranslated(v[0], v[1], 0.0);  }
+inline void glTranslate3fv(const float*  v) { glTranslatef(v[0], v[1], v[2]); }
+inline void glTranslate3dv(const double* v) { glTranslated(v[0], v[1], v[2]); }
+
+EIGEN_GL_FUNC_DECLARATION       (glTranslate)
+EIGEN_GL_FUNC_SPECIALIZATION_VEC(glTranslate,float,  2,2fv)
+EIGEN_GL_FUNC_SPECIALIZATION_VEC(glTranslate,double, 2,2dv)
+EIGEN_GL_FUNC_SPECIALIZATION_VEC(glTranslate,float,  3,3fv)
+EIGEN_GL_FUNC_SPECIALIZATION_VEC(glTranslate,double, 3,3dv)
+
+template<typename Scalar> void glTranslate(const Translation<Scalar,2>& t)  { glTranslate(t.vector()); }
+template<typename Scalar> void glTranslate(const Translation<Scalar,3>& t)  { glTranslate(t.vector()); }
+
+EIGEN_GL_FUNC_DECLARATION       (glMultMatrix)
+EIGEN_GL_FUNC_SPECIALIZATION_MAT(glMultMatrix,float,  4,4,f)
+EIGEN_GL_FUNC_SPECIALIZATION_MAT(glMultMatrix,double, 4,4,d)
+
+template<typename Scalar> void glMultMatrix(const Transform<Scalar,3,Affine>& t)        { glMultMatrix(t.matrix()); }
+template<typename Scalar> void glMultMatrix(const Transform<Scalar,3,Projective>& t)    { glMultMatrix(t.matrix()); }
+template<typename Scalar> void glMultMatrix(const Transform<Scalar,3,AffineCompact>& t) { glMultMatrix(Transform<Scalar,3,Affine>(t).matrix()); }
+
+EIGEN_GL_FUNC_DECLARATION       (glLoadMatrix)
+EIGEN_GL_FUNC_SPECIALIZATION_MAT(glLoadMatrix,float,  4,4,f)
+EIGEN_GL_FUNC_SPECIALIZATION_MAT(glLoadMatrix,double, 4,4,d)
+
+template<typename Scalar> void glLoadMatrix(const Transform<Scalar,3,Affine>& t)        { glLoadMatrix(t.matrix()); }
+template<typename Scalar> void glLoadMatrix(const Transform<Scalar,3,Projective>& t)    { glLoadMatrix(t.matrix()); }
+template<typename Scalar> void glLoadMatrix(const Transform<Scalar,3,AffineCompact>& t) { glLoadMatrix(Transform<Scalar,3,Affine>(t).matrix()); }
+
+inline void glRotate(const Rotation2D<float>& rot)
+{
+  glRotatef(rot.angle()*180.f/float(EIGEN_PI), 0.f, 0.f, 1.f);
+}
+inline void glRotate(const Rotation2D<double>& rot)
+{
+  glRotated(rot.angle()*180.0/double(EIGEN_PI), 0.0, 0.0, 1.0);
+}
+
+template<typename Derived> void glRotate(const RotationBase<Derived,3>& rot)
+{  
+  Transform<typename Derived::Scalar,3,Projective> tr(rot);
+  glMultMatrix(tr.matrix());
+}
+
+#define EIGEN_GL_MAKE_CONST_const const
+#define EIGEN_GL_MAKE_CONST__ 
+#define EIGEN_GL_EVAL(X) X
+
+#define EIGEN_GL_FUNC1_DECLARATION(FUNC,ARG1,CONST)                                                                             \
+namespace internal {                                                                                                            \
+  template< typename XprType,                                                                                                   \
+            typename Scalar = typename XprType::Scalar,                                                                         \
+            int Rows = XprType::RowsAtCompileTime,                                                                              \
+            int Cols = XprType::ColsAtCompileTime,                                                                              \
+            bool IsGLCompatible = bool(internal::evaluator<XprType>::Flags&LinearAccessBit)                                     \
+                              && bool(XprType::Flags&DirectAccessBit)                                                           \
+                              && (XprType::IsVectorAtCompileTime || (XprType::Flags&RowMajorBit)==0)>                           \
+  struct EIGEN_CAT(EIGEN_CAT(gl_,FUNC),_impl);                                                                                  \
+                                                                                                                                \
+  template<typename XprType, typename Scalar, int Rows, int Cols>                                                               \
+  struct EIGEN_CAT(EIGEN_CAT(gl_,FUNC),_impl)<XprType,Scalar,Rows,Cols,false> {                                                 \
+    inline static void run(ARG1 a,EIGEN_GL_EVAL(EIGEN_GL_MAKE_CONST_##CONST) XprType& p) {                                      \
+      EIGEN_CAT(EIGEN_CAT(gl_,FUNC),_impl)<typename plain_matrix_type_column_major<XprType>::type>::run(a,p); }                 \
+  };                                                                                                                            \
+}                                                                                                                               \
+                                                                                                                                \
+template<typename Derived> inline void FUNC(ARG1 a,EIGEN_GL_EVAL(EIGEN_GL_MAKE_CONST_##CONST) Eigen::DenseBase<Derived>& p) {   \
+  EIGEN_CAT(EIGEN_CAT(internal::gl_,FUNC),_impl)<Derived>::run(a,p.derived());                                                  \
+}
+
+
+#define EIGEN_GL_FUNC1_SPECIALIZATION_MAT(FUNC,ARG1,CONST,SCALAR,ROWS,COLS,SUFFIX)                                              \
+namespace internal {                                                                                                            \
+  template< typename XprType> struct EIGEN_CAT(EIGEN_CAT(gl_,FUNC),_impl)<XprType, SCALAR, ROWS, COLS, true> {                  \
+    inline static void run(ARG1 a, EIGEN_GL_EVAL(EIGEN_GL_MAKE_CONST_##CONST) XprType& p) { FUNC##SUFFIX(a,p.data()); }         \
+  }; \
+}
+
+  
+#define EIGEN_GL_FUNC1_SPECIALIZATION_VEC(FUNC,ARG1,CONST,SCALAR,SIZE,SUFFIX)                                                   \
+namespace internal {                                                                                                            \
+  template< typename XprType> struct EIGEN_CAT(EIGEN_CAT(gl_,FUNC),_impl)<XprType, SCALAR, SIZE, 1, true> {                     \
+    inline static void run(ARG1 a, EIGEN_GL_EVAL(EIGEN_GL_MAKE_CONST_##CONST) XprType& p) { FUNC##SUFFIX(a,p.data()); }         \
+  };                                                                                                                            \
+  template< typename XprType> struct EIGEN_CAT(EIGEN_CAT(gl_,FUNC),_impl)<XprType, SCALAR, 1, SIZE, true> {                     \
+    inline static void run(ARG1 a, EIGEN_GL_EVAL(EIGEN_GL_MAKE_CONST_##CONST) XprType& p) { FUNC##SUFFIX(a,p.data()); }         \
+  };                                                                                                                            \
+}
+
+EIGEN_GL_FUNC1_DECLARATION       (glGet,GLenum,_)
+EIGEN_GL_FUNC1_SPECIALIZATION_MAT(glGet,GLenum,_,float,  4,4,Floatv)
+EIGEN_GL_FUNC1_SPECIALIZATION_MAT(glGet,GLenum,_,double, 4,4,Doublev)
+
+// glUniform API
+
+#ifdef GL_VERSION_2_0
+
+inline void glUniform2fv_ei  (GLint loc, const float* v)         { glUniform2fv(loc,1,v); }
+inline void glUniform2iv_ei  (GLint loc, const int* v)           { glUniform2iv(loc,1,v); }
+
+inline void glUniform3fv_ei  (GLint loc, const float* v)         { glUniform3fv(loc,1,v); }
+inline void glUniform3iv_ei  (GLint loc, const int* v)           { glUniform3iv(loc,1,v); }
+
+inline void glUniform4fv_ei  (GLint loc, const float* v)         { glUniform4fv(loc,1,v); }
+inline void glUniform4iv_ei  (GLint loc, const int* v)           { glUniform4iv(loc,1,v); }
+
+inline void glUniformMatrix2fv_ei  (GLint loc, const float* v)         { glUniformMatrix2fv(loc,1,false,v); }
+inline void glUniformMatrix3fv_ei  (GLint loc, const float* v)         { glUniformMatrix3fv(loc,1,false,v); }
+inline void glUniformMatrix4fv_ei  (GLint loc, const float* v)         { glUniformMatrix4fv(loc,1,false,v); }
+
+
+EIGEN_GL_FUNC1_DECLARATION       (glUniform,GLint,const)
+EIGEN_GL_FUNC1_SPECIALIZATION_VEC(glUniform,GLint,const,float,        2,2fv_ei)
+EIGEN_GL_FUNC1_SPECIALIZATION_VEC(glUniform,GLint,const,int,          2,2iv_ei)
+EIGEN_GL_FUNC1_SPECIALIZATION_VEC(glUniform,GLint,const,float,        3,3fv_ei)
+EIGEN_GL_FUNC1_SPECIALIZATION_VEC(glUniform,GLint,const,int,          3,3iv_ei)
+EIGEN_GL_FUNC1_SPECIALIZATION_VEC(glUniform,GLint,const,float,        4,4fv_ei)
+EIGEN_GL_FUNC1_SPECIALIZATION_VEC(glUniform,GLint,const,int,          4,4iv_ei)
+
+EIGEN_GL_FUNC1_SPECIALIZATION_MAT(glUniform,GLint,const,float,        2,2,Matrix2fv_ei)
+EIGEN_GL_FUNC1_SPECIALIZATION_MAT(glUniform,GLint,const,float,        3,3,Matrix3fv_ei)
+EIGEN_GL_FUNC1_SPECIALIZATION_MAT(glUniform,GLint,const,float,        4,4,Matrix4fv_ei)
+
+#endif
+
+#ifdef GL_VERSION_2_1
+
+inline void glUniformMatrix2x3fv_ei(GLint loc, const float* v)         { glUniformMatrix2x3fv(loc,1,false,v); }
+inline void glUniformMatrix3x2fv_ei(GLint loc, const float* v)         { glUniformMatrix3x2fv(loc,1,false,v); }
+inline void glUniformMatrix2x4fv_ei(GLint loc, const float* v)         { glUniformMatrix2x4fv(loc,1,false,v); }
+inline void glUniformMatrix4x2fv_ei(GLint loc, const float* v)         { glUniformMatrix4x2fv(loc,1,false,v); }
+inline void glUniformMatrix3x4fv_ei(GLint loc, const float* v)         { glUniformMatrix3x4fv(loc,1,false,v); }
+inline void glUniformMatrix4x3fv_ei(GLint loc, const float* v)         { glUniformMatrix4x3fv(loc,1,false,v); }
+
+EIGEN_GL_FUNC1_SPECIALIZATION_MAT(glUniform,GLint,const,float,        2,3,Matrix2x3fv_ei)
+EIGEN_GL_FUNC1_SPECIALIZATION_MAT(glUniform,GLint,const,float,        3,2,Matrix3x2fv_ei)
+EIGEN_GL_FUNC1_SPECIALIZATION_MAT(glUniform,GLint,const,float,        2,4,Matrix2x4fv_ei)
+EIGEN_GL_FUNC1_SPECIALIZATION_MAT(glUniform,GLint,const,float,        4,2,Matrix4x2fv_ei)
+EIGEN_GL_FUNC1_SPECIALIZATION_MAT(glUniform,GLint,const,float,        3,4,Matrix3x4fv_ei)
+EIGEN_GL_FUNC1_SPECIALIZATION_MAT(glUniform,GLint,const,float,        4,3,Matrix4x3fv_ei)
+
+#endif
+
+#ifdef GL_VERSION_3_0
+
+inline void glUniform2uiv_ei (GLint loc, const unsigned int* v)  { glUniform2uiv(loc,1,v); }
+inline void glUniform3uiv_ei (GLint loc, const unsigned int* v)  { glUniform3uiv(loc,1,v); }
+inline void glUniform4uiv_ei (GLint loc, const unsigned int* v)  { glUniform4uiv(loc,1,v); }
+
+EIGEN_GL_FUNC1_SPECIALIZATION_VEC(glUniform,GLint,const,unsigned int, 2,2uiv_ei)
+EIGEN_GL_FUNC1_SPECIALIZATION_VEC(glUniform,GLint,const,unsigned int, 3,3uiv_ei)
+EIGEN_GL_FUNC1_SPECIALIZATION_VEC(glUniform,GLint,const,unsigned int, 4,4uiv_ei)
+
+#endif
+
+#ifdef GL_ARB_gpu_shader_fp64
+inline void glUniform2dv_ei  (GLint loc, const double* v)        { glUniform2dv(loc,1,v); }
+inline void glUniform3dv_ei  (GLint loc, const double* v)        { glUniform3dv(loc,1,v); }
+inline void glUniform4dv_ei  (GLint loc, const double* v)        { glUniform4dv(loc,1,v); }
+
+EIGEN_GL_FUNC1_SPECIALIZATION_VEC(glUniform,GLint,const,double,       2,2dv_ei)
+EIGEN_GL_FUNC1_SPECIALIZATION_VEC(glUniform,GLint,const,double,       3,3dv_ei)
+EIGEN_GL_FUNC1_SPECIALIZATION_VEC(glUniform,GLint,const,double,       4,4dv_ei)
+#endif
+
+
+//@}
+
+}
+
+#endif // EIGEN_OPENGL_MODULE
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/unsupported/Eigen/MoreVectorization
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/unsupported/Eigen/MoreVectorization	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/unsupported/Eigen/MoreVectorization	(revision 3761)
@@ -0,0 +1,24 @@
+// This file is part of Eigen, a lightweight C++ template library
+// for linear algebra.
+//
+//
+// This Source Code Form is subject to the terms of the Mozilla
+// Public License v. 2.0. If a copy of the MPL was not distributed
+// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
+
+#ifndef EIGEN_MOREVECTORIZATION_MODULE_H
+#define EIGEN_MOREVECTORIZATION_MODULE_H
+
+#include <Eigen/Core>
+
+namespace Eigen {
+
+/**
+  * \defgroup MoreVectorization More vectorization module
+  */
+
+}
+
+#include "src/MoreVectorization/MathFunctions.h"
+
+#endif // EIGEN_MOREVECTORIZATION_MODULE_H
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/unsupported/Eigen/KroneckerProduct
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/unsupported/Eigen/KroneckerProduct	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/unsupported/Eigen/KroneckerProduct	(revision 3761)
@@ -0,0 +1,36 @@
+// This file is part of Eigen, a lightweight C++ template library
+// for linear algebra.
+//
+//
+// This Source Code Form is subject to the terms of the Mozilla
+// Public License v. 2.0. If a copy of the MPL was not distributed
+// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
+
+#ifndef EIGEN_KRONECKER_PRODUCT_MODULE_H
+#define EIGEN_KRONECKER_PRODUCT_MODULE_H
+
+#include "../../Eigen/Core"
+
+#include "../../Eigen/src/Core/util/DisableStupidWarnings.h"
+
+#include "../../Eigen/src/SparseCore/SparseUtil.h"
+
+namespace Eigen {
+
+/**
+  * \defgroup KroneckerProduct_Module KroneckerProduct module
+  *
+  * This module contains an experimental Kronecker product implementation.
+  *
+  * \code
+  * #include <Eigen/KroneckerProduct>
+  * \endcode
+  */
+
+} // namespace Eigen
+
+#include "src/KroneckerProduct/KroneckerTensorProduct.h"
+
+#include "../../Eigen/src/Core/util/ReenableStupidWarnings.h"
+
+#endif // EIGEN_KRONECKER_PRODUCT_MODULE_H
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/unsupported/Eigen/LevenbergMarquardt
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/unsupported/Eigen/LevenbergMarquardt	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/unsupported/Eigen/LevenbergMarquardt	(revision 3761)
@@ -0,0 +1,45 @@
+// This file is part of Eigen, a lightweight C++ template library
+// for linear algebra.
+//
+// Copyright (C) 2009 Thomas Capricelli <orzel@freehackers.org>
+//
+// This Source Code Form is subject to the terms of the Mozilla
+// Public License v. 2.0. If a copy of the MPL was not distributed
+// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
+
+#ifndef EIGEN_LEVENBERGMARQUARDT_MODULE
+#define EIGEN_LEVENBERGMARQUARDT_MODULE
+
+// #include <vector>
+
+#include <Eigen/Core>
+#include <Eigen/Jacobi>
+#include <Eigen/QR>
+#include <unsupported/Eigen/NumericalDiff> 
+
+#include <Eigen/SparseQR>
+
+/**
+  * \defgroup LevenbergMarquardt_Module Levenberg-Marquardt module
+  *
+  * \code
+  * #include </Eigen/LevenbergMarquardt>
+  * \endcode
+  *
+  * 
+  */
+
+#include "Eigen/SparseCore"
+#ifndef EIGEN_PARSED_BY_DOXYGEN
+
+#include "src/LevenbergMarquardt/LMqrsolv.h"
+#include "src/LevenbergMarquardt/LMcovar.h"
+#include "src/LevenbergMarquardt/LMpar.h"
+
+#endif
+
+#include "src/LevenbergMarquardt/LevenbergMarquardt.h"
+#include "src/LevenbergMarquardt/LMonestep.h"
+
+
+#endif // EIGEN_LEVENBERGMARQUARDT_MODULE
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/unsupported/Eigen/NonLinearOptimization
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/unsupported/Eigen/NonLinearOptimization	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/unsupported/Eigen/NonLinearOptimization	(revision 3761)
@@ -0,0 +1,134 @@
+// This file is part of Eigen, a lightweight C++ template library
+// for linear algebra.
+//
+// Copyright (C) 2009 Thomas Capricelli <orzel@freehackers.org>
+//
+// This Source Code Form is subject to the terms of the Mozilla
+// Public License v. 2.0. If a copy of the MPL was not distributed
+// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
+
+#ifndef EIGEN_NONLINEAROPTIMIZATION_MODULE
+#define EIGEN_NONLINEAROPTIMIZATION_MODULE
+
+#include <vector>
+
+#include <Eigen/Core>
+#include <Eigen/Jacobi>
+#include <Eigen/QR>
+#include <unsupported/Eigen/NumericalDiff>
+
+/**
+  * \defgroup NonLinearOptimization_Module Non linear optimization module
+  *
+  * \code
+  * #include <unsupported/Eigen/NonLinearOptimization>
+  * \endcode
+  *
+  * This module provides implementation of two important algorithms in non linear
+  * optimization. In both cases, we consider a system of non linear functions. Of
+  * course, this should work, and even work very well if those functions are
+  * actually linear. But if this is so, you should probably better use other
+  * methods more fitted to this special case.
+  *
+  * One algorithm allows to find an extremum of such a system (Levenberg
+  * Marquardt algorithm) and the second one is used to find 
+  * a zero for the system (Powell hybrid "dogleg" method).
+  *
+  * This code is a port of minpack (http://en.wikipedia.org/wiki/MINPACK).
+  * Minpack is a very famous, old, robust and well-reknown package, written in 
+  * fortran. Those implementations have been carefully tuned, tested, and used
+  * for several decades.
+  *
+  * The original fortran code was automatically translated using f2c (http://en.wikipedia.org/wiki/F2c) in C,
+  * then c++, and then cleaned by several different authors.
+  * The last one of those cleanings being our starting point : 
+  * http://devernay.free.fr/hacks/cminpack.html
+  * 
+  * Finally, we ported this code to Eigen, creating classes and API
+  * coherent with Eigen. When possible, we switched to Eigen
+  * implementation, such as most linear algebra (vectors, matrices, stable norms).
+  *
+  * Doing so, we were very careful to check the tests we setup at the very
+  * beginning, which ensure that the same results are found.
+  *
+  * \section Tests Tests
+  * 
+  * The tests are placed in the file unsupported/test/NonLinear.cpp.
+  * 
+  * There are two kinds of tests : those that come from examples bundled with cminpack.
+  * They guaranty we get the same results as the original algorithms (value for 'x',
+  * for the number of evaluations of the function, and for the number of evaluations
+  * of the jacobian if ever).
+  * 
+  * Other tests were added by myself at the very beginning of the 
+  * process and check the results for levenberg-marquardt using the reference data 
+  * on http://www.itl.nist.gov/div898/strd/nls/nls_main.shtml. Since then i've 
+  * carefully checked that the same results were obtained when modifiying the 
+  * code. Please note that we do not always get the exact same decimals as they do,
+  * but this is ok : they use 128bits float, and we do the tests using the C type 'double',
+  * which is 64 bits on most platforms (x86 and amd64, at least).
+  * I've performed those tests on several other implementations of levenberg-marquardt, and
+  * (c)minpack performs VERY well compared to those, both in accuracy and speed.
+  * 
+  * The documentation for running the tests is on the wiki
+  * http://eigen.tuxfamily.org/index.php?title=Tests
+  * 
+  * \section API API : overview of methods
+  * 
+  * Both algorithms can use either the jacobian (provided by the user) or compute 
+  * an approximation by themselves (actually using Eigen \ref NumericalDiff_Module).
+  * The part of API referring to the latter use 'NumericalDiff' in the method names
+  * (exemple: LevenbergMarquardt.minimizeNumericalDiff() ) 
+  * 
+  * The methods LevenbergMarquardt.lmder1()/lmdif1()/lmstr1() and 
+  * HybridNonLinearSolver.hybrj1()/hybrd1() are specific methods from the original 
+  * minpack package that you probably should NOT use until you are porting a code that
+  *  was previously using minpack. They just define a 'simple' API with default values 
+  * for some parameters.
+  * 
+  * All algorithms are provided using Two APIs :
+  *     - one where the user inits the algorithm, and uses '*OneStep()' as much as he wants : 
+  * this way the caller have control over the steps
+  *     - one where the user just calls a method (optimize() or solve()) which will 
+  * handle the loop: init + loop until a stop condition is met. Those are provided for
+  *  convenience.
+  * 
+  * As an example, the method LevenbergMarquardt::minimize() is 
+  * implemented as follow : 
+  * \code
+  * Status LevenbergMarquardt<FunctorType,Scalar>::minimize(FVectorType  &x, const int mode)
+  * {
+  *     Status status = minimizeInit(x, mode);
+  *     do {
+  *         status = minimizeOneStep(x, mode);
+  *     } while (status==Running);
+  *     return status;
+  * }
+  * \endcode
+  * 
+  * \section examples Examples
+  * 
+  * The easiest way to understand how to use this module is by looking at the many examples in the file
+  * unsupported/test/NonLinearOptimization.cpp.
+  */
+
+#ifndef EIGEN_PARSED_BY_DOXYGEN
+
+#include "src/NonLinearOptimization/qrsolv.h"
+#include "src/NonLinearOptimization/r1updt.h"
+#include "src/NonLinearOptimization/r1mpyq.h"
+#include "src/NonLinearOptimization/rwupdt.h"
+#include "src/NonLinearOptimization/fdjac1.h"
+#include "src/NonLinearOptimization/lmpar.h"
+#include "src/NonLinearOptimization/dogleg.h"
+#include "src/NonLinearOptimization/covar.h"
+
+#include "src/NonLinearOptimization/chkder.h"
+
+#endif
+
+#include "src/NonLinearOptimization/HybridNonLinearSolver.h"
+#include "src/NonLinearOptimization/LevenbergMarquardt.h"
+
+
+#endif // EIGEN_NONLINEAROPTIMIZATION_MODULE
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/unsupported/Eigen/MatrixFunctions
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/unsupported/Eigen/MatrixFunctions	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/unsupported/Eigen/MatrixFunctions	(revision 3761)
@@ -0,0 +1,500 @@
+// This file is part of Eigen, a lightweight C++ template library
+// for linear algebra.
+//
+// Copyright (C) 2009 Jitse Niesen <jitse@maths.leeds.ac.uk>
+// Copyright (C) 2012 Chen-Pang He <jdh8@ms63.hinet.net>
+//
+// This Source Code Form is subject to the terms of the Mozilla
+// Public License v. 2.0. If a copy of the MPL was not distributed
+// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
+
+#ifndef EIGEN_MATRIX_FUNCTIONS
+#define EIGEN_MATRIX_FUNCTIONS
+
+#include <cfloat>
+#include <list>
+
+#include <Eigen/Core>
+#include <Eigen/LU>
+#include <Eigen/Eigenvalues>
+
+/**
+  * \defgroup MatrixFunctions_Module Matrix functions module
+  * \brief This module aims to provide various methods for the computation of
+  * matrix functions. 
+  *
+  * To use this module, add 
+  * \code
+  * #include <unsupported/Eigen/MatrixFunctions>
+  * \endcode
+  * at the start of your source file.
+  *
+  * This module defines the following MatrixBase methods.
+  *  - \ref matrixbase_cos "MatrixBase::cos()", for computing the matrix cosine
+  *  - \ref matrixbase_cosh "MatrixBase::cosh()", for computing the matrix hyperbolic cosine
+  *  - \ref matrixbase_exp "MatrixBase::exp()", for computing the matrix exponential
+  *  - \ref matrixbase_log "MatrixBase::log()", for computing the matrix logarithm
+  *  - \ref matrixbase_pow "MatrixBase::pow()", for computing the matrix power
+  *  - \ref matrixbase_matrixfunction "MatrixBase::matrixFunction()", for computing general matrix functions
+  *  - \ref matrixbase_sin "MatrixBase::sin()", for computing the matrix sine
+  *  - \ref matrixbase_sinh "MatrixBase::sinh()", for computing the matrix hyperbolic sine
+  *  - \ref matrixbase_sqrt "MatrixBase::sqrt()", for computing the matrix square root
+  *
+  * These methods are the main entry points to this module. 
+  *
+  * %Matrix functions are defined as follows.  Suppose that \f$ f \f$
+  * is an entire function (that is, a function on the complex plane
+  * that is everywhere complex differentiable).  Then its Taylor
+  * series
+  * \f[ f(0) + f'(0) x + \frac{f''(0)}{2} x^2 + \frac{f'''(0)}{3!} x^3 + \cdots \f]
+  * converges to \f$ f(x) \f$. In this case, we can define the matrix
+  * function by the same series:
+  * \f[ f(M) = f(0) + f'(0) M + \frac{f''(0)}{2} M^2 + \frac{f'''(0)}{3!} M^3 + \cdots \f]
+  *
+  */
+
+#include "src/MatrixFunctions/MatrixExponential.h"
+#include "src/MatrixFunctions/MatrixFunction.h"
+#include "src/MatrixFunctions/MatrixSquareRoot.h"
+#include "src/MatrixFunctions/MatrixLogarithm.h"
+#include "src/MatrixFunctions/MatrixPower.h"
+
+
+/** 
+\page matrixbaseextra_page
+\ingroup MatrixFunctions_Module
+
+\section matrixbaseextra MatrixBase methods defined in the MatrixFunctions module
+
+The remainder of the page documents the following MatrixBase methods
+which are defined in the MatrixFunctions module.
+
+
+
+\subsection matrixbase_cos MatrixBase::cos()
+
+Compute the matrix cosine.
+
+\code
+const MatrixFunctionReturnValue<Derived> MatrixBase<Derived>::cos() const
+\endcode
+
+\param[in]  M  a square matrix.
+\returns  expression representing \f$ \cos(M) \f$.
+
+This function computes the matrix cosine. Use ArrayBase::cos() for computing the entry-wise cosine.
+
+The implementation calls \ref matrixbase_matrixfunction "matrixFunction()" with StdStemFunctions::cos().
+
+\sa \ref matrixbase_sin "sin()" for an example.
+
+
+
+\subsection matrixbase_cosh MatrixBase::cosh()
+
+Compute the matrix hyberbolic cosine.
+
+\code
+const MatrixFunctionReturnValue<Derived> MatrixBase<Derived>::cosh() const
+\endcode
+
+\param[in]  M  a square matrix.
+\returns  expression representing \f$ \cosh(M) \f$
+
+This function calls \ref matrixbase_matrixfunction "matrixFunction()" with StdStemFunctions::cosh().
+
+\sa \ref matrixbase_sinh "sinh()" for an example.
+
+
+
+\subsection matrixbase_exp MatrixBase::exp()
+
+Compute the matrix exponential.
+
+\code
+const MatrixExponentialReturnValue<Derived> MatrixBase<Derived>::exp() const
+\endcode
+
+\param[in]  M  matrix whose exponential is to be computed.
+\returns    expression representing the matrix exponential of \p M.
+
+The matrix exponential of \f$ M \f$ is defined by
+\f[ \exp(M) = \sum_{k=0}^\infty \frac{M^k}{k!}. \f]
+The matrix exponential can be used to solve linear ordinary
+differential equations: the solution of \f$ y' = My \f$ with the
+initial condition \f$ y(0) = y_0 \f$ is given by
+\f$ y(t) = \exp(M) y_0 \f$.
+
+The matrix exponential is different from applying the exp function to all the entries in the matrix.
+Use ArrayBase::exp() if you want to do the latter.
+
+The cost of the computation is approximately \f$ 20 n^3 \f$ for
+matrices of size \f$ n \f$. The number 20 depends weakly on the
+norm of the matrix.
+
+The matrix exponential is computed using the scaling-and-squaring
+method combined with Pad&eacute; approximation. The matrix is first
+rescaled, then the exponential of the reduced matrix is computed
+approximant, and then the rescaling is undone by repeated
+squaring. The degree of the Pad&eacute; approximant is chosen such
+that the approximation error is less than the round-off
+error. However, errors may accumulate during the squaring phase.
+
+Details of the algorithm can be found in: Nicholas J. Higham, "The
+scaling and squaring method for the matrix exponential revisited,"
+<em>SIAM J. %Matrix Anal. Applic.</em>, <b>26</b>:1179&ndash;1193,
+2005.
+
+Example: The following program checks that
+\f[ \exp \left[ \begin{array}{ccc}
+      0 & \frac14\pi & 0 \\
+      -\frac14\pi & 0 & 0 \\
+      0 & 0 & 0
+    \end{array} \right] = \left[ \begin{array}{ccc}
+      \frac12\sqrt2 & -\frac12\sqrt2 & 0 \\
+      \frac12\sqrt2 & \frac12\sqrt2 & 0 \\
+      0 & 0 & 1
+    \end{array} \right]. \f]
+This corresponds to a rotation of \f$ \frac14\pi \f$ radians around
+the z-axis.
+
+\include MatrixExponential.cpp
+Output: \verbinclude MatrixExponential.out
+
+\note \p M has to be a matrix of \c float, \c double, `long double`
+\c complex<float>, \c complex<double>, or `complex<long double>` .
+
+
+\subsection matrixbase_log MatrixBase::log()
+
+Compute the matrix logarithm.
+
+\code
+const MatrixLogarithmReturnValue<Derived> MatrixBase<Derived>::log() const
+\endcode
+
+\param[in]  M  invertible matrix whose logarithm is to be computed.
+\returns    expression representing the matrix logarithm root of \p M.
+
+The matrix logarithm of \f$ M \f$ is a matrix \f$ X \f$ such that 
+\f$ \exp(X) = M \f$ where exp denotes the matrix exponential. As for
+the scalar logarithm, the equation \f$ \exp(X) = M \f$ may have
+multiple solutions; this function returns a matrix whose eigenvalues
+have imaginary part in the interval \f$ (-\pi,\pi] \f$.
+
+The matrix logarithm is different from applying the log function to all the entries in the matrix.
+Use ArrayBase::log() if you want to do the latter.
+
+In the real case, the matrix \f$ M \f$ should be invertible and
+it should have no eigenvalues which are real and negative (pairs of
+complex conjugate eigenvalues are allowed). In the complex case, it
+only needs to be invertible.
+
+This function computes the matrix logarithm using the Schur-Parlett
+algorithm as implemented by MatrixBase::matrixFunction(). The
+logarithm of an atomic block is computed by MatrixLogarithmAtomic,
+which uses direct computation for 1-by-1 and 2-by-2 blocks and an
+inverse scaling-and-squaring algorithm for bigger blocks, with the
+square roots computed by MatrixBase::sqrt().
+
+Details of the algorithm can be found in Section 11.6.2 of:
+Nicholas J. Higham,
+<em>Functions of Matrices: Theory and Computation</em>,
+SIAM 2008. ISBN 978-0-898716-46-7.
+
+Example: The following program checks that
+\f[ \log \left[ \begin{array}{ccc} 
+      \frac12\sqrt2 & -\frac12\sqrt2 & 0 \\
+      \frac12\sqrt2 & \frac12\sqrt2 & 0 \\
+      0 & 0 & 1
+    \end{array} \right] = \left[ \begin{array}{ccc}
+      0 & \frac14\pi & 0 \\ 
+      -\frac14\pi & 0 & 0 \\
+      0 & 0 & 0 
+    \end{array} \right]. \f]
+This corresponds to a rotation of \f$ \frac14\pi \f$ radians around
+the z-axis. This is the inverse of the example used in the
+documentation of \ref matrixbase_exp "exp()".
+
+\include MatrixLogarithm.cpp
+Output: \verbinclude MatrixLogarithm.out
+
+\note \p M has to be a matrix of \c float, \c double, `long
+double`, \c complex<float>, \c complex<double>, or `complex<long double>`.
+
+\sa MatrixBase::exp(), MatrixBase::matrixFunction(), 
+    class MatrixLogarithmAtomic, MatrixBase::sqrt().
+
+
+\subsection matrixbase_pow MatrixBase::pow()
+
+Compute the matrix raised to arbitrary real power.
+
+\code
+const MatrixPowerReturnValue<Derived> MatrixBase<Derived>::pow(RealScalar p) const
+\endcode
+
+\param[in]  M  base of the matrix power, should be a square matrix.
+\param[in]  p  exponent of the matrix power.
+
+The matrix power \f$ M^p \f$ is defined as \f$ \exp(p \log(M)) \f$,
+where exp denotes the matrix exponential, and log denotes the matrix
+logarithm. This is different from raising all the entries in the matrix
+to the p-th power. Use ArrayBase::pow() if you want to do the latter.
+
+If \p p is complex, the scalar type of \p M should be the type of \p
+p . \f$ M^p \f$ simply evaluates into \f$ \exp(p \log(M)) \f$.
+Therefore, the matrix \f$ M \f$ should meet the conditions to be an
+argument of matrix logarithm.
+
+If \p p is real, it is casted into the real scalar type of \p M. Then
+this function computes the matrix power using the Schur-Pad&eacute;
+algorithm as implemented by class MatrixPower. The exponent is split
+into integral part and fractional part, where the fractional part is
+in the interval \f$ (-1, 1) \f$. The main diagonal and the first
+super-diagonal is directly computed.
+
+If \p M is singular with a semisimple zero eigenvalue and \p p is
+positive, the Schur factor \f$ T \f$ is reordered with Givens
+rotations, i.e.
+
+\f[ T = \left[ \begin{array}{cc}
+      T_1 & T_2 \\
+      0   & 0
+    \end{array} \right] \f]
+
+where \f$ T_1 \f$ is invertible. Then \f$ T^p \f$ is given by
+
+\f[ T^p = \left[ \begin{array}{cc}
+      T_1^p & T_1^{-1} T_1^p T_2 \\
+      0     & 0
+    \end{array}. \right] \f]
+
+\warning Fractional power of a matrix with a non-semisimple zero
+eigenvalue is not well-defined. We introduce an assertion failure
+against inaccurate result, e.g. \code
+#include <unsupported/Eigen/MatrixFunctions>
+#include <iostream>
+
+int main()
+{
+  Eigen::Matrix4d A;
+  A << 0, 0, 2, 3,
+       0, 0, 4, 5,
+       0, 0, 6, 7,
+       0, 0, 8, 9;
+  std::cout << A.pow(0.37) << std::endl;
+  
+  // The 1 makes eigenvalue 0 non-semisimple.
+  A.coeffRef(0, 1) = 1;
+
+  // This fails if EIGEN_NO_DEBUG is undefined.
+  std::cout << A.pow(0.37) << std::endl;
+
+  return 0;
+}
+\endcode
+
+Details of the algorithm can be found in: Nicholas J. Higham and
+Lijing Lin, "A Schur-Pad&eacute; algorithm for fractional powers of a
+matrix," <em>SIAM J. %Matrix Anal. Applic.</em>,
+<b>32(3)</b>:1056&ndash;1078, 2011.
+
+Example: The following program checks that
+\f[ \left[ \begin{array}{ccc}
+      \cos1 & -\sin1 & 0 \\
+      \sin1 & \cos1 & 0 \\
+      0 & 0 & 1
+    \end{array} \right]^{\frac14\pi} = \left[ \begin{array}{ccc}
+      \frac12\sqrt2 & -\frac12\sqrt2 & 0 \\
+      \frac12\sqrt2 & \frac12\sqrt2 & 0 \\
+      0 & 0 & 1
+    \end{array} \right]. \f]
+This corresponds to \f$ \frac14\pi \f$ rotations of 1 radian around
+the z-axis.
+
+\include MatrixPower.cpp
+Output: \verbinclude MatrixPower.out
+
+MatrixBase::pow() is user-friendly. However, there are some
+circumstances under which you should use class MatrixPower directly.
+MatrixPower can save the result of Schur decomposition, so it's
+better for computing various powers for the same matrix.
+
+Example:
+\include MatrixPower_optimal.cpp
+Output: \verbinclude MatrixPower_optimal.out
+
+\note \p M has to be a matrix of \c float, \c double, `long
+double`, \c complex<float>, \c complex<double>, or
+\c complex<long double> .
+
+\sa MatrixBase::exp(), MatrixBase::log(), class MatrixPower.
+
+
+\subsection matrixbase_matrixfunction MatrixBase::matrixFunction()
+
+Compute a matrix function.
+
+\code
+const MatrixFunctionReturnValue<Derived> MatrixBase<Derived>::matrixFunction(typename internal::stem_function<typename internal::traits<Derived>::Scalar>::type f) const
+\endcode
+
+\param[in]  M  argument of matrix function, should be a square matrix.
+\param[in]  f  an entire function; \c f(x,n) should compute the n-th
+derivative of f at x.
+\returns  expression representing \p f applied to \p M.
+
+Suppose that \p M is a matrix whose entries have type \c Scalar. 
+Then, the second argument, \p f, should be a function with prototype
+\code 
+ComplexScalar f(ComplexScalar, int) 
+\endcode
+where \c ComplexScalar = \c std::complex<Scalar> if \c Scalar is
+real (e.g., \c float or \c double) and \c ComplexScalar =
+\c Scalar if \c Scalar is complex. The return value of \c f(x,n)
+should be \f$ f^{(n)}(x) \f$, the n-th derivative of f at x.
+
+This routine uses the algorithm described in:
+Philip Davies and Nicholas J. Higham, 
+"A Schur-Parlett algorithm for computing matrix functions", 
+<em>SIAM J. %Matrix Anal. Applic.</em>, <b>25</b>:464&ndash;485, 2003.
+
+The actual work is done by the MatrixFunction class.
+
+Example: The following program checks that
+\f[ \exp \left[ \begin{array}{ccc} 
+      0 & \frac14\pi & 0 \\ 
+      -\frac14\pi & 0 & 0 \\
+      0 & 0 & 0 
+    \end{array} \right] = \left[ \begin{array}{ccc}
+      \frac12\sqrt2 & -\frac12\sqrt2 & 0 \\
+      \frac12\sqrt2 & \frac12\sqrt2 & 0 \\
+      0 & 0 & 1
+    \end{array} \right]. \f]
+This corresponds to a rotation of \f$ \frac14\pi \f$ radians around
+the z-axis. This is the same example as used in the documentation
+of \ref matrixbase_exp "exp()".
+
+\include MatrixFunction.cpp
+Output: \verbinclude MatrixFunction.out
+
+Note that the function \c expfn is defined for complex numbers 
+\c x, even though the matrix \c A is over the reals. Instead of
+\c expfn, we could also have used StdStemFunctions::exp:
+\code
+A.matrixFunction(StdStemFunctions<std::complex<double> >::exp, &B);
+\endcode
+
+
+
+\subsection matrixbase_sin MatrixBase::sin()
+
+Compute the matrix sine.
+
+\code
+const MatrixFunctionReturnValue<Derived> MatrixBase<Derived>::sin() const
+\endcode
+
+\param[in]  M  a square matrix.
+\returns  expression representing \f$ \sin(M) \f$.
+
+This function computes the matrix sine. Use ArrayBase::sin() for computing the entry-wise sine.
+
+The implementation calls \ref matrixbase_matrixfunction "matrixFunction()" with StdStemFunctions::sin().
+
+Example: \include MatrixSine.cpp
+Output: \verbinclude MatrixSine.out
+
+
+
+\subsection matrixbase_sinh MatrixBase::sinh()
+
+Compute the matrix hyperbolic sine.
+
+\code
+MatrixFunctionReturnValue<Derived> MatrixBase<Derived>::sinh() const
+\endcode
+
+\param[in]  M  a square matrix.
+\returns  expression representing \f$ \sinh(M) \f$
+
+This function calls \ref matrixbase_matrixfunction "matrixFunction()" with StdStemFunctions::sinh().
+
+Example: \include MatrixSinh.cpp
+Output: \verbinclude MatrixSinh.out
+
+
+\subsection matrixbase_sqrt MatrixBase::sqrt()
+
+Compute the matrix square root.
+
+\code
+const MatrixSquareRootReturnValue<Derived> MatrixBase<Derived>::sqrt() const
+\endcode
+
+\param[in]  M  invertible matrix whose square root is to be computed.
+\returns    expression representing the matrix square root of \p M.
+
+The matrix square root of \f$ M \f$ is the matrix \f$ M^{1/2} \f$
+whose square is the original matrix; so if \f$ S = M^{1/2} \f$ then
+\f$ S^2 = M \f$. This is different from taking the square root of all
+the entries in the matrix; use ArrayBase::sqrt() if you want to do the
+latter.
+
+In the <b>real case</b>, the matrix \f$ M \f$ should be invertible and
+it should have no eigenvalues which are real and negative (pairs of
+complex conjugate eigenvalues are allowed). In that case, the matrix
+has a square root which is also real, and this is the square root
+computed by this function. 
+
+The matrix square root is computed by first reducing the matrix to
+quasi-triangular form with the real Schur decomposition. The square
+root of the quasi-triangular matrix can then be computed directly. The
+cost is approximately \f$ 25 n^3 \f$ real flops for the real Schur
+decomposition and \f$ 3\frac13 n^3 \f$ real flops for the remainder
+(though the computation time in practice is likely more than this
+indicates).
+
+Details of the algorithm can be found in: Nicholas J. Highan,
+"Computing real square roots of a real matrix", <em>Linear Algebra
+Appl.</em>, 88/89:405&ndash;430, 1987.
+
+If the matrix is <b>positive-definite symmetric</b>, then the square
+root is also positive-definite symmetric. In this case, it is best to
+use SelfAdjointEigenSolver::operatorSqrt() to compute it.
+
+In the <b>complex case</b>, the matrix \f$ M \f$ should be invertible;
+this is a restriction of the algorithm. The square root computed by
+this algorithm is the one whose eigenvalues have an argument in the
+interval \f$ (-\frac12\pi, \frac12\pi] \f$. This is the usual branch
+cut.
+
+The computation is the same as in the real case, except that the
+complex Schur decomposition is used to reduce the matrix to a
+triangular matrix. The theoretical cost is the same. Details are in:
+&Aring;ke Bj&ouml;rck and Sven Hammarling, "A Schur method for the
+square root of a matrix", <em>Linear Algebra Appl.</em>,
+52/53:127&ndash;140, 1983.
+
+Example: The following program checks that the square root of
+\f[ \left[ \begin{array}{cc} 
+              \cos(\frac13\pi) & -\sin(\frac13\pi) \\
+              \sin(\frac13\pi) & \cos(\frac13\pi)
+    \end{array} \right], \f]
+corresponding to a rotation over 60 degrees, is a rotation over 30 degrees:
+\f[ \left[ \begin{array}{cc} 
+              \cos(\frac16\pi) & -\sin(\frac16\pi) \\
+              \sin(\frac16\pi) & \cos(\frac16\pi)
+    \end{array} \right]. \f]
+
+\include MatrixSquareRoot.cpp
+Output: \verbinclude MatrixSquareRoot.out
+
+\sa class RealSchur, class ComplexSchur, class MatrixSquareRoot,
+    SelfAdjointEigenSolver::operatorSqrt().
+
+*/
+
+#endif // EIGEN_MATRIX_FUNCTIONS
+
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/unsupported/Eigen/ArpackSupport
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/unsupported/Eigen/ArpackSupport	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/unsupported/Eigen/ArpackSupport	(revision 3761)
@@ -0,0 +1,31 @@
+// This file is part of Eigen, a lightweight C++ template library
+// for linear algebra.
+//
+//
+// This Source Code Form is subject to the terms of the Mozilla
+// Public License v. 2.0. If a copy of the MPL was not distributed
+// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
+
+#ifndef EIGEN_ARPACKSUPPORT_MODULE_H
+#define EIGEN_ARPACKSUPPORT_MODULE_H
+
+#include <Eigen/Core>
+
+/** \defgroup ArpackSupport_Module Arpack support module
+  *
+  * This module provides a wrapper to Arpack, a library for sparse eigenvalue decomposition.
+  *
+  * \code
+  * #include <Eigen/ArpackSupport>
+  * \endcode
+  */
+
+#include <Eigen/SparseCholesky>
+
+#include <Eigen/src/Core/util/DisableStupidWarnings.h>
+#include "src/Eigenvalues/ArpackSelfAdjointEigenSolver.h"
+
+#include <Eigen/src/Core/util/ReenableStupidWarnings.h>
+
+#endif // EIGEN_ARPACKSUPPORT_MODULE_H
+/* vim: set filetype=cpp et sw=2 ts=2 ai: */
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/unsupported/Eigen/SparseExtra
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/unsupported/Eigen/SparseExtra	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/unsupported/Eigen/SparseExtra	(revision 3761)
@@ -0,0 +1,53 @@
+// This file is part of Eigen, a lightweight C++ template library
+// for linear algebra.
+//
+// Copyright (C) 2008-2009 Gael Guennebaud <g.gael@free.fr>
+//
+// This Source Code Form is subject to the terms of the Mozilla
+// Public License v. 2.0. If a copy of the MPL was not distributed
+// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
+
+#ifndef EIGEN_SPARSE_EXTRA_MODULE_H
+#define EIGEN_SPARSE_EXTRA_MODULE_H
+
+#include "../../Eigen/Sparse"
+
+#include "../../Eigen/src/Core/util/DisableStupidWarnings.h"
+
+#include <vector>
+#include <map>
+#include <cstdlib>
+#include <cstring>
+#include <algorithm>
+#include <fstream>
+#include <sstream>
+
+#ifdef EIGEN_GOOGLEHASH_SUPPORT
+  #include <google/dense_hash_map>
+#endif
+
+/**
+  * \defgroup SparseExtra_Module SparseExtra module
+  *
+  * This module contains some experimental features extending the sparse module.
+  *
+  * \code
+  * #include <Eigen/SparseExtra>
+  * \endcode
+  */
+
+
+#include "src/SparseExtra/DynamicSparseMatrix.h"
+#include "src/SparseExtra/BlockOfDynamicSparseMatrix.h"
+#include "src/SparseExtra/RandomSetter.h"
+
+#include "src/SparseExtra/MarketIO.h"
+
+#if !defined(_WIN32)
+#include <dirent.h>
+#include "src/SparseExtra/MatrixMarketIterator.h"
+#endif
+
+#include "../../Eigen/src/Core/util/ReenableStupidWarnings.h"
+
+#endif // EIGEN_SPARSE_EXTRA_MODULE_H
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/unsupported/Eigen/AutoDiff
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/unsupported/Eigen/AutoDiff	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/unsupported/Eigen/AutoDiff	(revision 3761)
@@ -0,0 +1,40 @@
+// This file is part of Eigen, a lightweight C++ template library
+// for linear algebra.
+//
+// Copyright (C) 2008-2009 Gael Guennebaud <g.gael@free.fr>
+//
+// This Source Code Form is subject to the terms of the Mozilla
+// Public License v. 2.0. If a copy of the MPL was not distributed
+// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
+
+#ifndef EIGEN_AUTODIFF_MODULE
+#define EIGEN_AUTODIFF_MODULE
+
+namespace Eigen {
+
+/**
+  * \defgroup AutoDiff_Module Auto Diff module
+  *
+  * This module features forward automatic differentation via a simple
+  * templated scalar type wrapper AutoDiffScalar.
+  *
+  * Warning : this should NOT be confused with numerical differentiation, which
+  * is a different method and has its own module in Eigen : \ref NumericalDiff_Module.
+  *
+  * \code
+  * #include <unsupported/Eigen/AutoDiff>
+  * \endcode
+  */
+//@{
+
+}
+
+#include "src/AutoDiff/AutoDiffScalar.h"
+// #include "src/AutoDiff/AutoDiffVector.h"
+#include "src/AutoDiff/AutoDiffJacobian.h"
+
+namespace Eigen {
+//@}
+}
+
+#endif // EIGEN_AUTODIFF_MODULE
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/unsupported/Eigen/Polynomials
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/unsupported/Eigen/Polynomials	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/unsupported/Eigen/Polynomials	(revision 3761)
@@ -0,0 +1,138 @@
+// This file is part of Eigen, a lightweight C++ template library
+// for linear algebra.
+//
+//
+// This Source Code Form is subject to the terms of the Mozilla
+// Public License v. 2.0. If a copy of the MPL was not distributed
+// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
+
+#ifndef EIGEN_POLYNOMIALS_MODULE_H
+#define EIGEN_POLYNOMIALS_MODULE_H
+
+#include <Eigen/Core>
+
+#include <Eigen/Eigenvalues>
+
+#include <Eigen/src/Core/util/DisableStupidWarnings.h>
+
+// Note that EIGEN_HIDE_HEAVY_CODE has to be defined per module
+#if (defined EIGEN_EXTERN_INSTANTIATIONS) && (EIGEN_EXTERN_INSTANTIATIONS>=2)
+  #ifndef EIGEN_HIDE_HEAVY_CODE
+  #define EIGEN_HIDE_HEAVY_CODE
+  #endif
+#elif defined EIGEN_HIDE_HEAVY_CODE
+  #undef EIGEN_HIDE_HEAVY_CODE
+#endif
+
+/**
+  * \defgroup Polynomials_Module Polynomials module
+  * \brief This module provides a QR based polynomial solver.
+	*
+  * To use this module, add
+  * \code
+  * #include <unsupported/Eigen/Polynomials>
+  * \endcode
+	* at the start of your source file.
+  */
+
+#include "src/Polynomials/PolynomialUtils.h"
+#include "src/Polynomials/Companion.h"
+#include "src/Polynomials/PolynomialSolver.h"
+
+/**
+	\page polynomials Polynomials defines functions for dealing with polynomials
+	and a QR based polynomial solver.
+	\ingroup Polynomials_Module
+
+	The remainder of the page documents first the functions for evaluating, computing
+	polynomials, computing estimates about polynomials and next the QR based polynomial
+	solver.
+
+	\section polynomialUtils convenient functions to deal with polynomials
+	\subsection roots_to_monicPolynomial
+	The function
+	\code
+	void roots_to_monicPolynomial( const RootVector& rv, Polynomial& poly )
+	\endcode
+	computes the coefficients \f$ a_i \f$ of
+
+	\f$ p(x) = a_0 + a_{1}x + ... + a_{n-1}x^{n-1} + x^n \f$
+
+	where \f$ p \f$ is known through its roots i.e. \f$ p(x) = (x-r_1)(x-r_2)...(x-r_n) \f$.
+
+	\subsection poly_eval
+	The function
+	\code
+	T poly_eval( const Polynomials& poly, const T& x )
+	\endcode
+	evaluates a polynomial at a given point using stabilized H&ouml;rner method.
+
+	The following code: first computes the coefficients in the monomial basis of the monic polynomial that has the provided roots;
+	then, it evaluates the computed polynomial, using a stabilized H&ouml;rner method.
+
+	\include PolynomialUtils1.cpp
+  Output: \verbinclude PolynomialUtils1.out
+
+	\subsection Cauchy bounds
+	The function
+	\code
+	Real cauchy_max_bound( const Polynomial& poly )
+	\endcode
+	provides a maximum bound (the Cauchy one: \f$C(p)\f$) for the absolute value of a root of the given polynomial i.e.
+	\f$ \forall r_i \f$ root of \f$ p(x) = \sum_{k=0}^d a_k x^k \f$,
+	\f$ |r_i| \le C(p) = \sum_{k=0}^{d} \left | \frac{a_k}{a_d} \right | \f$
+	The leading coefficient \f$ p \f$: should be non zero \f$a_d \neq 0\f$.
+
+
+	The function
+	\code
+	Real cauchy_min_bound( const Polynomial& poly )
+	\endcode
+	provides a minimum bound (the Cauchy one: \f$c(p)\f$) for the absolute value of a non zero root of the given polynomial i.e.
+	\f$ \forall r_i \neq 0 \f$ root of \f$ p(x) = \sum_{k=0}^d a_k x^k \f$,
+	\f$ |r_i| \ge c(p) = \left( \sum_{k=0}^{d} \left | \frac{a_k}{a_0} \right | \right)^{-1} \f$
+
+
+
+
+	\section QR polynomial solver class
+	Computes the complex roots of a polynomial by computing the eigenvalues of the associated companion matrix with the QR algorithm.
+	
+	The roots of \f$ p(x) = a_0 + a_1 x + a_2 x^2 + a_{3} x^3 + x^4 \f$ are the eigenvalues of
+	\f$
+	\left [
+	\begin{array}{cccc}
+	0 & 0 &  0 & a_0 \\
+	1 & 0 &  0 & a_1 \\
+	0 & 1 &  0 & a_2 \\
+	0 & 0 &  1 & a_3
+	\end{array} \right ]
+	\f$
+
+	However, the QR algorithm is not guaranteed to converge when there are several eigenvalues with same modulus.
+
+	Therefore the current polynomial solver is guaranteed to provide a correct result only when the complex roots \f$r_1,r_2,...,r_d\f$ have distinct moduli i.e.
+	
+	\f$ \forall i,j \in [1;d],~ \| r_i \| \neq \| r_j \| \f$.
+
+	With 32bit (float) floating types this problem shows up frequently.
+  However, almost always, correct accuracy is reached even in these cases for 64bit
+  (double) floating types and small polynomial degree (<20).
+
+	\include PolynomialSolver1.cpp
+	
+	In the above example:
+	
+	-# a simple use of the polynomial solver is shown;
+	-# the accuracy problem with the QR algorithm is presented: a polynomial with almost conjugate roots is provided to the solver.
+	Those roots have almost same module therefore the QR algorithm failed to converge: the accuracy
+	of the last root is bad;
+	-# a simple way to circumvent the problem is shown: use doubles instead of floats.
+
+  Output: \verbinclude PolynomialSolver1.out
+*/
+
+#include <Eigen/src/Core/util/ReenableStupidWarnings.h>
+
+#endif // EIGEN_POLYNOMIALS_MODULE_H
+/* vim: set filetype=cpp et sw=2 ts=2 ai: */
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/unsupported/Eigen/EulerAngles
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/unsupported/Eigen/EulerAngles	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.linux/res/linux64/library/RcppEigen/include/unsupported/Eigen/EulerAngles	(revision 3761)
@@ -0,0 +1,43 @@
+// This file is part of Eigen, a lightweight C++ template library
+// for linear algebra.
+//
+// Copyright (C) 2015 Tal Hadad <tal_hd@hotmail.com>
+//
+// This Source Code Form is subject to the terms of the Mozilla
+// Public License v. 2.0. If a copy of the MPL was not distributed
+// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
+
+#ifndef EIGEN_EULERANGLES_MODULE_H
+#define EIGEN_EULERANGLES_MODULE_H
+
+
+#include "Eigen/Core"
+#include "Eigen/Geometry"
+
+#include "Eigen/src/Core/util/DisableStupidWarnings.h"
+
+namespace Eigen {
+
+/**
+  * \defgroup EulerAngles_Module EulerAngles module
+  * \brief This module provides generic euler angles rotation.
+  *
+  * Euler angles are a way to represent 3D rotation.
+  *
+  * In order to use this module in your code, include this header:
+  * \code
+  * #include <unsupported/Eigen/EulerAngles>
+  * \endcode
+  *
+  * See \ref EulerAngles for more information.
+  *
+  */
+
+}
+
+#include "src/EulerAngles/EulerSystem.h"
+#include "src/EulerAngles/EulerAngles.h"
+
+#include "Eigen/src/Core/util/ReenableStupidWarnings.h"
+
+#endif // EIGEN_EULERANGLES_MODULE_H
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/etc/x64/Makeconf
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/etc/x64/Makeconf	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/etc/x64/Makeconf	(revision 3761)
@@ -0,0 +1,303 @@
+#-*- Makefile -*-
+# $(R_HOME}/etc$(R_ARCH)/Makeconf
+
+# Hand-edited version for gnuwin32.
+
+ifdef DEBUG
+  DLLFLAGS=
+  DEBUGFLAG=-gdwarf-2
+else
+  DLLFLAGS=-s
+  DEBUGFLAG=
+endif
+
+DLLFLAGS += -static-libgcc
+LINKFLAGS += -static-libgcc
+
+
+## Things which are substituted by fixed/Makefile (and also -O2 -> -O2)
+WIN = 64
+MINGW_PREFIX = /mingw$(WIN)
+BINPREF ?= 
+COMPILED_BY = gcc-10.4.0
+# SYMPAT = 's/^.* [BCDRT] _/ /p' for 32-bit
+# SYMPAT = 's/^.* [BCDRT] / /p' for 64-bit
+SYMPAT = 's/^.* [BCDRT] / /p'
+IMPDIR = bin/x64
+# flags for multilib builds, for compilers, dlltool and windres
+M_ARCH = 
+DT_ARCH = 
+RC_ARCH = 
+# Used by packages tcltk and tkrplot
+TCL_HOME = $(R_HOME)/Tcl
+
+# automatically rewritten to assign value from MkRules
+LOCAL_SOFT ?= D:/rtools42/x86_64-w64-mingw32.static.posix
+
+R_INSTALLER_BUILD = no
+ R_INSTALLER_BUILD = yes
+ifeq ($(R_INSTALLER_BUILD), yes)
+  ifneq ($(strip $(R_CUSTOM_TOOLS_SOFT)),)
+    LOCAL_SOFT = $(R_CUSTOM_TOOLS_SOFT)
+  else
+    ## The rtools42 installer sets RTOOLS42_HOME
+    RTOOLS42_HOME ?= c:/rtools42
+    LOCAL_SOFT = $(subst \,/,$(RTOOLS42_HOME))/x86_64-w64-mingw32.static.posix
+  endif
+endif
+R_TOOLS_SOFT ?= $(LOCAL_SOFT)
+
+NM_FILTER = | sed -e '/[.]refptr[.]/d' -e '/[.]weak[.]/d'
+
+ifneq ($(strip $(LOCAL_SOFT)),)
+LOCAL_CPPFLAGS = -I"$(LOCAL_SOFT)/include"
+LOCAL_LIBS = -L"$(LOCAL_SOFT)/lib$(R_ARCH)" -L"$(LOCAL_SOFT)/lib"
+endif
+
+DLLTOOL = $(BINPREF)dlltool --as $(BINPREF)as $(DT_ARCH)
+DLLTOOLFLAGS = -k
+NM = $(BINPREF)nm
+RESCOMP = $(BINPREF)windres $(RC_ARCH)
+## MAIN_LD needs to be set by the package
+LINKER = $(MAIN_LD)
+## as a default
+DLL = $(CC)
+
+## Things defined in Renviron on Unix
+SED = sed
+TAR ?= tar
+TAR_OPTIONS ?= --force-local
+
+## Things defined in MkRules
+CAT = cat
+CP = cp
+MKDIR = mkdir
+RM = rm -f
+SORT = sort
+
+## For use in packages
+GRAPHAPP_LIB = -lRgraphapp
+TCL_VERSION = 86
+# was a reference to Rzlib.dll in R < 3.2.0
+ZLIB_LIBS = -lz
+
+AR = $(BINPREF)ar
+BLAS_LIBS = -L"$(R_HOME)/$(IMPDIR)" -lRblas
+C_VISIBILITY = 
+CC = $(BINPREF)gcc $(M_ARCH)
+CFLAGS = -O2 -Wall $(DEBUGFLAG) -std=gnu99 -mfpmath=sse -msse2 -mstackrealign $(LTO)
+CPICFLAGS = 
+CPPFLAGS =
+CXX = $(BINPREF)g++ -std=gnu++11 $(M_ARCH)
+CXXCPP = $(CXX) -E
+CXXFLAGS = -O2 -Wall $(DEBUGFLAG) -mfpmath=sse -msse2 -mstackrealign $(LTO)
+CXXPICFLAGS =
+#CXX98 = $(BINPREF)g++ $(M_ARCH)
+#CXX98FLAGS = -O2 -Wall $(DEBUGFLAG) -mfpmath=sse -msse2 -mstackrealign
+#CXX98PICFLAGS = 
+#CXX98STD = -std=gnu++98
+CXX11 = $(BINPREF)g++ $(M_ARCH)
+CXX11FLAGS = -O2 -Wall $(DEBUGFLAG) -mfpmath=sse -msse2 -mstackrealign $(LTO)
+CXX11PICFLAGS =
+CXX11STD = -std=gnu++11
+## these settings are for gcc >= 8
+CXX14 = $(CXX11)
+CXX14FLAGS = $(CXX11FLAGS)
+CXX14PICFLAGS =
+CXX14STD = -std=gnu++14
+CXX17 = $(CXX11)
+CXX17FLAGS = $(CXX11FLAGS)
+CXX17PICFLAGS =
+CXX17STD = -std=gnu++17
+CXX20 = $(CXX11)
+CXX20FLAGS = $(CXX11FLAGS)
+CXX20PICFLAGS =
+CXX20STD = -std=gnu++2a
+DYLIB_EXT = .dll
+DYLIB_LD = $(DLL)
+DYLIB_LDFLAGS = -shared
+DYLIB_LINK = $(DYLIB_LD) $(DYLIB_LDFLAGS) $(LDFLAGS)
+ECHO = echo
+ECHO_C = 
+ECHO_N = -n
+ECHO_T = 
+## unsupported on Windows
+F_VISIBILITY = 
+## FC is the compiler used for all Fortran as from R 3.6.0
+FC = $(BINPREF)gfortran $(M_ARCH)
+FCFLAGS = -O2 $(DEBUGFLAG) -mfpmath=sse -msse2 -mstackrealign $(LTO)
+## additional libs needed when linking with $(FC), e.g. on some Oracle compilers
+FCLIBS_XTRA =
+#F77 = $(BINPREF)gfortran $(M_ARCH)
+#F77_VISIBILITY = 
+FFLAGS = -O2 $(DEBUGFLAG) -mfpmath=sse -msse2 -mstackrealign $(LTO)
+FLIBS = -lgfortran -lm -lquadmath
+#FCPICFLAGS =
+FPICFLAGS = 
+FOUNDATION_CPPFLAGS =
+FOUNDATION_LIBS =
+JAR =
+JAVA =
+JAVAC = 
+JAVAH =
+## JAVA_HOME might be used in the next three.  
+## They are for packages 'JavaGD' and 'rJava'
+# JAVA_HOME = 
+JAVA_CPPFLAGS = -I"$(JAVA_HOME)/../include" -I"$(JAVA_HOME)/../include/win32"
+JAVA_LIBS = -L"$(JAVA_HOME)/bin/client" -ljvm -ljvm-w32
+# JAVA_LD_LIBRARY_PATH = 
+LAPACK_LIBS = -L"$(R_HOME)/$(IMPDIR)" -lRlapack
+LDFLAGS =
+## we only need this is if it is external, as otherwise link to R
+LIBINTL =
+LIBM = -lm
+LIBR = -L"$(R_HOME)/$(IMPDIR)" -lR
+LIBS =  -lm
+## needed by R CMD config
+LIBnn = lib
+LIBTOOL =
+LTO = 
+## used in INSTALL
+LTO_OPT = 
+## needed to build applications linking to static libR
+# MAIN_LD =
+# MAIN_LDFLAGS =
+# MAIN_LINK = $(MAIN_LD) $(MAIN_LDFLAGS) $(LDFLAGS)
+# assume suitable mkdir on PATH (e.g. from Msys2)
+MKINSTALLDIRS = mkdir -p
+NM = $(BINPREF)nm
+## There is no ObjC support in the recommended toolchain,
+## but if a toolchain had support, this it what it would be.
+OBJC = $(CC)
+OBJCFLAGS = -O2
+OBJC_LIBS = -lobjc
+OBJCXX =
+OBJDUMP = $(BINPREF)objdump
+R_ARCH = /x64
+RANLIB = $(BINPREF)ranlib
+SAFE_FFLAGS = -O2 -msse2 -mfpmath=sse
+SED = sed
+## it seems some makes (but not ours) get upset if SHELL is set.
+# SHELL = /bin/sh
+SHLIB_CFLAGS = 
+SHLIB_CXXFLAGS = 
+SHLIB_CXXLD = $(CXX)
+## ideally -shared -static-libstdc++, but not for gcc 4.2.1
+SHLIB_CXXLDFLAGS = -shared
+#SHLIB_CXX98LD = $(CXX98)
+#SHLIB_CXX98LDFLAGS = -shared
+SHLIB_CXX11LD = $(CXX11)
+SHLIB_CXX11LDFLAGS = -shared
+SHLIB_CXX14LD = $(CXX14)
+SHLIB_CXX14LDFLAGS = -shared
+SHLIB_CXX17LD = $(CXX17)
+SHLIB_CXX17LDFLAGS = -shared
+SHLIB_CXX20LD = $(CXX20)
+SHLIB_CXX20LDFLAGS = -shared
+SHLIB_EXT = .dll
+SHLIB_FCLD = $(FC)
+## ideally -shared -static-libgfortran, but not for gcc 4.2.1
+SHLIB_FCLDFLAGS = -shared
+SHLIB_FFLAGS = 
+SHLIB_LD = $(CC)
+SHLIB_LDFLAGS = -shared
+SHLIB_LIBADD =
+SHLIB_LINK = $(SHLIB_LD) -Wl,--export-all-symbols $(SHLIB_LDFLAGS) $(LDFLAGS)
+SHLIB_OPENMP_CFLAGS = -fopenmp
+SHLIB_OPENMP_CXXFLAGS = -fopenmp
+SHLIB_OPENMP_FCFLAGS = -fopenmp
+SHLIB_OPENMP_FFLAGS = -fopenmp
+SHLIB_PTHREAD_FLAGS = -pthread
+STRIP_SHARED_LIB = $(BINPREF)strip --strip-unneeded
+STRIP_STATIC_LIB = $(BINPREF)strip --strip-debug
+TCLTK_CPPFLAGS = -I "$(TCL_HOME)/include" -DWin32
+TCLTK_LIBS = -L"$(TCL_HOME)/bin" -ltcl$(TCL_VERSION) -ltk$(TCL_VERSION)
+
+STATIC_LIBR =
+
+R_XTRA_CFLAGS =
+## Allow next to be overriden for cross-builds.
+R_XTRA_CPPFLAGS ?= -I"$(R_HOME)/include" -DNDEBUG
+R_XTRA_CXXFLAGS = 
+R_XTRA_FFLAGS =  -fno-optimize-sibling-calls
+
+ifneq "$(LTO_OPT)" ""
+LTO =  $(LTO_OPT)
+AR = $(BINPREF)gcc-ar
+NM = $(BINPREF)gcc-nm
+RANLIB = $(BINPREF)gcc-ranlib
+SHLIB_LDFLAGS += $(CFLAGS)
+SHLIB_FCLDFLAGS += $(FFLAGS)
+SHLIB_CXXLDFLAGS += $(CXXFLAGS)
+SHLIB_CXX11LDFLAGS += $(CXX11FLAGS)
+SHLIB_CXX14LDFLAGS += $(CXX14FLAGS)
+SHLIB_CXX17LDFLAGS += $(CXX17FLAGS)
+SHLIB_CXX20LDFLAGS += $(CXX20FLAGS)
+endif
+
+ALL_CFLAGS = $(R_XTRA_CFLAGS) $(PKG_CFLAGS) $(CPICFLAGS) $(SHLIB_CFLAGS) $(CFLAGS)
+ALL_CPPFLAGS = $(R_XTRA_CPPFLAGS) $(PKG_CPPFLAGS) $(CLINK_CPPFLAGS) $(CPPFLAGS) $($*-CPPFLAGS) $(LOCAL_CPPFLAGS)
+ALL_CXXFLAGS = $(R_XTRA_CXXFLAGS) $(PKG_CXXFLAGS) $(CXXPICFLAGS) $(SHLIB_CXXFLAGS) $(CXXFLAGS)
+ALL_OBJCFLAGS = $(PKG_OBJCFLAGS) $(CPICFLAGS) $(SHLIB_CFLAGS) $(OBJCFLAGS)
+ALL_OBJCXXFLAGS = $(PKG_OBJCXXFLAGS) $(CXXPICFLAGS) $(SHLIB_CXXFLAGS) $(OBJCXXFLAGS)
+ALL_FFLAGS = $(R_XTRA_FFLAGS) $(PKG_FFLAGS) $(FPICFLAGS) $(SHLIB_FFLAGS) $(FFLAGS)
+ALL_LIBS = $(PKG_LIBS) $(LOCAL_LIBS) $(SHLIB_LIBADD) $(LIBR) $(LIBINTL)
+## can be overridden by SHLIB
+P_FCFLAGS = $(PKG_FFLAGS)
+ALL_FCFLAGS = $(R_XTRA_FFLAGS) $(P_FCFLAGS) $(FPICFLAGS) $(SHLIB_FFLAGS) $(FCFLAGS)
+
+.SUFFIXES:
+.SUFFIXES: .c .cc .cpp .d .f .f90 .f95 .m .mm .M .o .a .def .dll .exe .rc
+
+.c.o:
+	$(CC) $(ALL_CPPFLAGS) $(ALL_CFLAGS) -c $< -o $@
+.c.d:
+	@echo "making $@ from $<"
+	@$(CC) -std=gnu99 -MM $(ALL_CPPFLAGS) $< > $@
+.cc.o:
+	$(CXX) $(ALL_CPPFLAGS) $(ALL_CXXFLAGS) -c $< -o $@
+.cpp.o:
+	$(CXX) $(ALL_CPPFLAGS) $(ALL_CXXFLAGS) -c $< -o $@
+.cc.d:
+	@echo "making $@ from $<"
+	@$(CXX) -M $(ALL_CPPFLAGS) $< > $@
+.cpp.d:
+	@echo "making $@ from $<"
+	@$(CXX) -M $(ALL_CPPFLAGS) $< > $@
+.m.o:
+	$(OBJC) $(ALL_CPPFLAGS) $(ALL_OBJCFLAGS) -c $< -o $@
+.m.d:
+	@echo "making $@ from $<"
+	@$(OBJC) -MM $(ALL_CPPFLAGS) $< > $@
+.mm.o:
+	$(OBJCXX) $(ALL_CPPFLAGS) $(ALL_OBJCXXFLAGS) -c $< -o $@
+.M.o:
+	$(OBJCXX) $(ALL_CPPFLAGS) $(ALL_OBJCXXFLAGS) -c $< -o $@
+.f.o:
+	$(FC) $(ALL_FFLAGS) -c $< -o $@
+.f95.o:
+	$(FC) $(ALL_FCFLAGS) -c  $< -o $@
+.f90.o:
+	$(FC) $(ALL_FCFLAGS) -c  $< -o $@
+
+## Not used in R itself
+%.exe:
+	$(LINKER) $(LINKFLAGS) $($*-LINKFLAGS) -o $@ $^ $($*-LIBS) $(LOCAL_LIBS) $(LIBS)
+
+%.dll:
+	@echo EXPORTS > $*.def
+	@$(NM) $^ | $(SED) -n $(SYMPAT) >> $*.def
+	$(SHLIB_LD) $(SHLIB_LDFLAGS) $(DLLFLAGS) -o $@ $*.def $^ $(ALL_LIBS)
+	@$(RM) $*.def
+
+## It does not make much sense to have $($*-DLLTOOLFLAGS) here
+## It is currently unused on CRAN
+lib%.dll.a: %.def
+	$(DLLTOOL) $(DLLTOOLFLAGS) $($*-DLLTOOLFLAGS) --dllname $*.dll --input-def $*.def --output-lib $@
+
+%.a:
+	@$(RM) $@
+	$(AR) crs $@ $^
+
+%.o: %.rc
+	$(RESCOMP) $(RESFLAGS) -i $< -o $@
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/Tcl/lib/tcl8.6/tzdata/Indian/Chagos
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/Tcl/lib/tcl8.6/tzdata/Indian/Chagos	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/Tcl/lib/tcl8.6/tzdata/Indian/Chagos	(revision 3761)
@@ -0,0 +1,7 @@
+# created by tools/tclZIC.tcl - do not edit
+
+set TZData(:Indian/Chagos) {
+    {-9223372036854775808 17380 0 LMT}
+    {-1988167780 18000 0 +05}
+    {820436400 21600 0 +06}
+}
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/Tcl/lib/tcl8.6/tzdata/Indian/Maldives
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/Tcl/lib/tcl8.6/tzdata/Indian/Maldives	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/Tcl/lib/tcl8.6/tzdata/Indian/Maldives	(revision 3761)
@@ -0,0 +1,7 @@
+# created by tools/tclZIC.tcl - do not edit
+
+set TZData(:Indian/Maldives) {
+    {-9223372036854775808 17640 0 LMT}
+    {-2840158440 17640 0 MMT}
+    {-315636840 18000 0 +05}
+}
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/Tcl/lib/tcl8.6/tzdata/Indian/Cocos
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/Tcl/lib/tcl8.6/tzdata/Indian/Cocos	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/Tcl/lib/tcl8.6/tzdata/Indian/Cocos	(revision 3761)
@@ -0,0 +1,6 @@
+# created by tools/tclZIC.tcl - do not edit
+
+set TZData(:Indian/Cocos) {
+    {-9223372036854775808 23260 0 LMT}
+    {-2209012060 23400 0 +0630}
+}
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/Tcl/lib/tcl8.6/tzdata/Indian/Mahe
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/Tcl/lib/tcl8.6/tzdata/Indian/Mahe	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/Tcl/lib/tcl8.6/tzdata/Indian/Mahe	(revision 3761)
@@ -0,0 +1,6 @@
+# created by tools/tclZIC.tcl - do not edit
+
+set TZData(:Indian/Mahe) {
+    {-9223372036854775808 13308 0 LMT}
+    {-1988163708 14400 0 +04}
+}
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/Tcl/lib/tcl8.6/tzdata/Indian/Christmas
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/Tcl/lib/tcl8.6/tzdata/Indian/Christmas	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/Tcl/lib/tcl8.6/tzdata/Indian/Christmas	(revision 3761)
@@ -0,0 +1,6 @@
+# created by tools/tclZIC.tcl - do not edit
+
+set TZData(:Indian/Christmas) {
+    {-9223372036854775808 25372 0 LMT}
+    {-2364102172 25200 0 +07}
+}
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/Tcl/lib/tcl8.6/tzdata/Indian/Comoro
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/Tcl/lib/tcl8.6/tzdata/Indian/Comoro	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/Tcl/lib/tcl8.6/tzdata/Indian/Comoro	(revision 3761)
@@ -0,0 +1,5 @@
+# created by tools/tclZIC.tcl - do not edit
+if {![info exists TZData(Africa/Nairobi)]} {
+    LoadTimeZoneFile Africa/Nairobi
+}
+set TZData(:Indian/Comoro) $TZData(:Africa/Nairobi)
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/Tcl/lib/tcl8.6/tzdata/Indian/Reunion
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/Tcl/lib/tcl8.6/tzdata/Indian/Reunion	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/Tcl/lib/tcl8.6/tzdata/Indian/Reunion	(revision 3761)
@@ -0,0 +1,6 @@
+# created by tools/tclZIC.tcl - do not edit
+
+set TZData(:Indian/Reunion) {
+    {-9223372036854775808 13312 0 LMT}
+    {-1848886912 14400 0 +04}
+}
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/Tcl/lib/tcl8.6/tzdata/Indian/Antananarivo
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/Tcl/lib/tcl8.6/tzdata/Indian/Antananarivo	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/Tcl/lib/tcl8.6/tzdata/Indian/Antananarivo	(revision 3761)
@@ -0,0 +1,5 @@
+# created by tools/tclZIC.tcl - do not edit
+if {![info exists TZData(Africa/Nairobi)]} {
+    LoadTimeZoneFile Africa/Nairobi
+}
+set TZData(:Indian/Antananarivo) $TZData(:Africa/Nairobi)
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/Tcl/lib/tcl8.6/tzdata/Indian/Kerguelen
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/Tcl/lib/tcl8.6/tzdata/Indian/Kerguelen	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/Tcl/lib/tcl8.6/tzdata/Indian/Kerguelen	(revision 3761)
@@ -0,0 +1,6 @@
+# created by tools/tclZIC.tcl - do not edit
+
+set TZData(:Indian/Kerguelen) {
+    {-9223372036854775808 0 0 -00}
+    {-631152000 18000 0 +05}
+}
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/Tcl/lib/tcl8.6/tzdata/Indian/Mauritius
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/Tcl/lib/tcl8.6/tzdata/Indian/Mauritius	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/Tcl/lib/tcl8.6/tzdata/Indian/Mauritius	(revision 3761)
@@ -0,0 +1,10 @@
+# created by tools/tclZIC.tcl - do not edit
+
+set TZData(:Indian/Mauritius) {
+    {-9223372036854775808 13800 0 LMT}
+    {-1988164200 14400 0 +04}
+    {403041600 18000 1 +04}
+    {417034800 14400 0 +04}
+    {1224972000 18000 1 +04}
+    {1238274000 14400 0 +04}
+}
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/Tcl/lib/tcl8.6/tzdata/Indian/Mayotte
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/Tcl/lib/tcl8.6/tzdata/Indian/Mayotte	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/Tcl/lib/tcl8.6/tzdata/Indian/Mayotte	(revision 3761)
@@ -0,0 +1,5 @@
+# created by tools/tclZIC.tcl - do not edit
+if {![info exists TZData(Africa/Nairobi)]} {
+    LoadTimeZoneFile Africa/Nairobi
+}
+set TZData(:Indian/Mayotte) $TZData(:Africa/Nairobi)
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/Tcl/lib/tcl8.6/tzdata/Canada/Newfoundland
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/Tcl/lib/tcl8.6/tzdata/Canada/Newfoundland	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/Tcl/lib/tcl8.6/tzdata/Canada/Newfoundland	(revision 3761)
@@ -0,0 +1,5 @@
+# created by tools/tclZIC.tcl - do not edit
+if {![info exists TZData(America/St_Johns)]} {
+    LoadTimeZoneFile America/St_Johns
+}
+set TZData(:Canada/Newfoundland) $TZData(:America/St_Johns)
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/Tcl/lib/tcl8.6/tzdata/Canada/Yukon
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/Tcl/lib/tcl8.6/tzdata/Canada/Yukon	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/Tcl/lib/tcl8.6/tzdata/Canada/Yukon	(revision 3761)
@@ -0,0 +1,5 @@
+# created by tools/tclZIC.tcl - do not edit
+if {![info exists TZData(America/Whitehorse)]} {
+    LoadTimeZoneFile America/Whitehorse
+}
+set TZData(:Canada/Yukon) $TZData(:America/Whitehorse)
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/Tcl/lib/tcl8.6/tzdata/Canada/East-Saskatchewan
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/Tcl/lib/tcl8.6/tzdata/Canada/East-Saskatchewan	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/Tcl/lib/tcl8.6/tzdata/Canada/East-Saskatchewan	(revision 3761)
@@ -0,0 +1,5 @@
+# created by tools/tclZIC.tcl - do not edit
+if {![info exists TZData(America/Regina)]} {
+    LoadTimeZoneFile America/Regina
+}
+set TZData(:Canada/East-Saskatchewan) $TZData(:America/Regina)
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/Tcl/lib/tcl8.6/tzdata/Canada/Central
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/Tcl/lib/tcl8.6/tzdata/Canada/Central	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/Tcl/lib/tcl8.6/tzdata/Canada/Central	(revision 3761)
@@ -0,0 +1,5 @@
+# created by tools/tclZIC.tcl - do not edit
+if {![info exists TZData(America/Winnipeg)]} {
+    LoadTimeZoneFile America/Winnipeg
+}
+set TZData(:Canada/Central) $TZData(:America/Winnipeg)
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/Tcl/lib/tcl8.6/tzdata/Canada/Mountain
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/Tcl/lib/tcl8.6/tzdata/Canada/Mountain	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/Tcl/lib/tcl8.6/tzdata/Canada/Mountain	(revision 3761)
@@ -0,0 +1,5 @@
+# created by tools/tclZIC.tcl - do not edit
+if {![info exists TZData(America/Edmonton)]} {
+    LoadTimeZoneFile America/Edmonton
+}
+set TZData(:Canada/Mountain) $TZData(:America/Edmonton)
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/Tcl/lib/tcl8.6/tzdata/Canada/Saskatchewan
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/Tcl/lib/tcl8.6/tzdata/Canada/Saskatchewan	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/Tcl/lib/tcl8.6/tzdata/Canada/Saskatchewan	(revision 3761)
@@ -0,0 +1,5 @@
+# created by tools/tclZIC.tcl - do not edit
+if {![info exists TZData(America/Regina)]} {
+    LoadTimeZoneFile America/Regina
+}
+set TZData(:Canada/Saskatchewan) $TZData(:America/Regina)
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/Tcl/lib/tcl8.6/tzdata/Canada/Pacific
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/Tcl/lib/tcl8.6/tzdata/Canada/Pacific	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/Tcl/lib/tcl8.6/tzdata/Canada/Pacific	(revision 3761)
@@ -0,0 +1,5 @@
+# created by tools/tclZIC.tcl - do not edit
+if {![info exists TZData(America/Vancouver)]} {
+    LoadTimeZoneFile America/Vancouver
+}
+set TZData(:Canada/Pacific) $TZData(:America/Vancouver)
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/Tcl/lib/tcl8.6/tzdata/Canada/Atlantic
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/Tcl/lib/tcl8.6/tzdata/Canada/Atlantic	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/Tcl/lib/tcl8.6/tzdata/Canada/Atlantic	(revision 3761)
@@ -0,0 +1,5 @@
+# created by tools/tclZIC.tcl - do not edit
+if {![info exists TZData(America/Halifax)]} {
+    LoadTimeZoneFile America/Halifax
+}
+set TZData(:Canada/Atlantic) $TZData(:America/Halifax)
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/Tcl/lib/tcl8.6/tzdata/Canada/Eastern
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/Tcl/lib/tcl8.6/tzdata/Canada/Eastern	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/Tcl/lib/tcl8.6/tzdata/Canada/Eastern	(revision 3761)
@@ -0,0 +1,5 @@
+# created by tools/tclZIC.tcl - do not edit
+if {![info exists TZData(America/Toronto)]} {
+    LoadTimeZoneFile America/Toronto
+}
+set TZData(:Canada/Eastern) $TZData(:America/Toronto)
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/Tcl/lib/tcl8.6/tzdata/SystemV/AST4ADT
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/Tcl/lib/tcl8.6/tzdata/SystemV/AST4ADT	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/Tcl/lib/tcl8.6/tzdata/SystemV/AST4ADT	(revision 3761)
@@ -0,0 +1,5 @@
+# created by ../tools/tclZIC.tcl - do not edit
+if {![info exists TZData(America/Halifax)]} {
+    LoadTimeZoneFile America/Halifax
+}
+set TZData(:SystemV/AST4ADT) $TZData(:America/Halifax)
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/Tcl/lib/tcl8.6/tzdata/SystemV/PST8PDT
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/Tcl/lib/tcl8.6/tzdata/SystemV/PST8PDT	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/Tcl/lib/tcl8.6/tzdata/SystemV/PST8PDT	(revision 3761)
@@ -0,0 +1,5 @@
+# created by ../tools/tclZIC.tcl - do not edit
+if {![info exists TZData(America/Los_Angeles)]} {
+    LoadTimeZoneFile America/Los_Angeles
+}
+set TZData(:SystemV/PST8PDT) $TZData(:America/Los_Angeles)
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/Tcl/lib/tcl8.6/tzdata/SystemV/YST9
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/Tcl/lib/tcl8.6/tzdata/SystemV/YST9	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/Tcl/lib/tcl8.6/tzdata/SystemV/YST9	(revision 3761)
@@ -0,0 +1,5 @@
+# created by ../tools/tclZIC.tcl - do not edit
+if {![info exists TZData(Pacific/Gambier)]} {
+    LoadTimeZoneFile Pacific/Gambier
+}
+set TZData(:SystemV/YST9) $TZData(:Pacific/Gambier)
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/Tcl/lib/tcl8.6/tzdata/SystemV/YST9YDT
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/Tcl/lib/tcl8.6/tzdata/SystemV/YST9YDT	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/Tcl/lib/tcl8.6/tzdata/SystemV/YST9YDT	(revision 3761)
@@ -0,0 +1,5 @@
+# created by ../tools/tclZIC.tcl - do not edit
+if {![info exists TZData(America/Anchorage)]} {
+    LoadTimeZoneFile America/Anchorage
+}
+set TZData(:SystemV/YST9YDT) $TZData(:America/Anchorage)
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/Tcl/lib/tcl8.6/tzdata/SystemV/CST6CDT
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/Tcl/lib/tcl8.6/tzdata/SystemV/CST6CDT	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/Tcl/lib/tcl8.6/tzdata/SystemV/CST6CDT	(revision 3761)
@@ -0,0 +1,5 @@
+# created by ../tools/tclZIC.tcl - do not edit
+if {![info exists TZData(America/Chicago)]} {
+    LoadTimeZoneFile America/Chicago
+}
+set TZData(:SystemV/CST6CDT) $TZData(:America/Chicago)
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/Tcl/lib/tcl8.6/tzdata/SystemV/MST7
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/Tcl/lib/tcl8.6/tzdata/SystemV/MST7	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/Tcl/lib/tcl8.6/tzdata/SystemV/MST7	(revision 3761)
@@ -0,0 +1,5 @@
+# created by ../tools/tclZIC.tcl - do not edit
+if {![info exists TZData(America/Phoenix)]} {
+    LoadTimeZoneFile America/Phoenix
+}
+set TZData(:SystemV/MST7) $TZData(:America/Phoenix)
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/Tcl/lib/tcl8.6/tzdata/SystemV/AST4
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/Tcl/lib/tcl8.6/tzdata/SystemV/AST4	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/Tcl/lib/tcl8.6/tzdata/SystemV/AST4	(revision 3761)
@@ -0,0 +1,5 @@
+# created by ../tools/tclZIC.tcl - do not edit
+if {![info exists TZData(America/Puerto_Rico)]} {
+    LoadTimeZoneFile America/Puerto_Rico
+}
+set TZData(:SystemV/AST4) $TZData(:America/Puerto_Rico)
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/Tcl/lib/tcl8.6/tzdata/SystemV/EST5EDT
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/Tcl/lib/tcl8.6/tzdata/SystemV/EST5EDT	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/Tcl/lib/tcl8.6/tzdata/SystemV/EST5EDT	(revision 3761)
@@ -0,0 +1,5 @@
+# created by ../tools/tclZIC.tcl - do not edit
+if {![info exists TZData(America/New_York)]} {
+    LoadTimeZoneFile America/New_York
+}
+set TZData(:SystemV/EST5EDT) $TZData(:America/New_York)
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/Tcl/lib/tcl8.6/tzdata/SystemV/PST8
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/Tcl/lib/tcl8.6/tzdata/SystemV/PST8	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/Tcl/lib/tcl8.6/tzdata/SystemV/PST8	(revision 3761)
@@ -0,0 +1,5 @@
+# created by ../tools/tclZIC.tcl - do not edit
+if {![info exists TZData(Pacific/Pitcairn)]} {
+    LoadTimeZoneFile Pacific/Pitcairn
+}
+set TZData(:SystemV/PST8) $TZData(:Pacific/Pitcairn)
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/Tcl/lib/tcl8.6/tzdata/SystemV/CST6
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/Tcl/lib/tcl8.6/tzdata/SystemV/CST6	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/Tcl/lib/tcl8.6/tzdata/SystemV/CST6	(revision 3761)
@@ -0,0 +1,5 @@
+# created by ../tools/tclZIC.tcl - do not edit
+if {![info exists TZData(America/Regina)]} {
+    LoadTimeZoneFile America/Regina
+}
+set TZData(:SystemV/CST6) $TZData(:America/Regina)
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/Tcl/lib/tcl8.6/tzdata/SystemV/HST10
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/Tcl/lib/tcl8.6/tzdata/SystemV/HST10	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/Tcl/lib/tcl8.6/tzdata/SystemV/HST10	(revision 3761)
@@ -0,0 +1,5 @@
+# created by ../tools/tclZIC.tcl - do not edit
+if {![info exists TZData(Pacific/Honolulu)]} {
+    LoadTimeZoneFile Pacific/Honolulu
+}
+set TZData(:SystemV/HST10) $TZData(:Pacific/Honolulu)
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/Tcl/lib/tcl8.6/tzdata/SystemV/MST7MDT
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/Tcl/lib/tcl8.6/tzdata/SystemV/MST7MDT	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/Tcl/lib/tcl8.6/tzdata/SystemV/MST7MDT	(revision 3761)
@@ -0,0 +1,5 @@
+# created by ../tools/tclZIC.tcl - do not edit
+if {![info exists TZData(America/Denver)]} {
+    LoadTimeZoneFile America/Denver
+}
+set TZData(:SystemV/MST7MDT) $TZData(:America/Denver)
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/Tcl/lib/tcl8.6/tzdata/SystemV/EST5
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/Tcl/lib/tcl8.6/tzdata/SystemV/EST5	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/Tcl/lib/tcl8.6/tzdata/SystemV/EST5	(revision 3761)
@@ -0,0 +1,5 @@
+# created by ../tools/tclZIC.tcl - do not edit
+if {![info exists TZData(America/Indianapolis)]} {
+    LoadTimeZoneFile America/Indianapolis
+}
+set TZData(:SystemV/EST5) $TZData(:America/Indianapolis)
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/Tcl/lib/tcl8.6/tzdata/Chile/Continental
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/Tcl/lib/tcl8.6/tzdata/Chile/Continental	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/Tcl/lib/tcl8.6/tzdata/Chile/Continental	(revision 3761)
@@ -0,0 +1,5 @@
+# created by tools/tclZIC.tcl - do not edit
+if {![info exists TZData(America/Santiago)]} {
+    LoadTimeZoneFile America/Santiago
+}
+set TZData(:Chile/Continental) $TZData(:America/Santiago)
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/Tcl/lib/tcl8.6/tzdata/Chile/EasterIsland
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/Tcl/lib/tcl8.6/tzdata/Chile/EasterIsland	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/Tcl/lib/tcl8.6/tzdata/Chile/EasterIsland	(revision 3761)
@@ -0,0 +1,5 @@
+# created by tools/tclZIC.tcl - do not edit
+if {![info exists TZData(Pacific/Easter)]} {
+    LoadTimeZoneFile Pacific/Easter
+}
+set TZData(:Chile/EasterIsland) $TZData(:Pacific/Easter)
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/Tcl/lib/tcl8.6/tzdata/Mexico/BajaNorte
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/Tcl/lib/tcl8.6/tzdata/Mexico/BajaNorte	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/Tcl/lib/tcl8.6/tzdata/Mexico/BajaNorte	(revision 3761)
@@ -0,0 +1,5 @@
+# created by tools/tclZIC.tcl - do not edit
+if {![info exists TZData(America/Tijuana)]} {
+    LoadTimeZoneFile America/Tijuana
+}
+set TZData(:Mexico/BajaNorte) $TZData(:America/Tijuana)
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/Tcl/lib/tcl8.6/tzdata/Mexico/BajaSur
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/Tcl/lib/tcl8.6/tzdata/Mexico/BajaSur	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/Tcl/lib/tcl8.6/tzdata/Mexico/BajaSur	(revision 3761)
@@ -0,0 +1,5 @@
+# created by tools/tclZIC.tcl - do not edit
+if {![info exists TZData(America/Mazatlan)]} {
+    LoadTimeZoneFile America/Mazatlan
+}
+set TZData(:Mexico/BajaSur) $TZData(:America/Mazatlan)
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/Tcl/lib/tcl8.6/tzdata/Mexico/General
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/Tcl/lib/tcl8.6/tzdata/Mexico/General	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/Tcl/lib/tcl8.6/tzdata/Mexico/General	(revision 3761)
@@ -0,0 +1,5 @@
+# created by tools/tclZIC.tcl - do not edit
+if {![info exists TZData(America/Mexico_City)]} {
+    LoadTimeZoneFile America/Mexico_City
+}
+set TZData(:Mexico/General) $TZData(:America/Mexico_City)
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/Tcl/lib/Tktable2.10/html/tkTable.html
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/Tcl/lib/Tktable2.10/html/tkTable.html	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/Tcl/lib/Tktable2.10/html/tkTable.html	(revision 3761)
@@ -0,0 +1,2039 @@
+<!-- manual page source format generated by PolyglotMan v3.0.8+X.Org, -->
+<!-- available at http://polyglotman.sourceforge.net/ -->
+
+<html>
+<head>
+<title>man page(1) manual page</title>
+</head>
+<body bgcolor='#efefef' text='black' link='blue' vlink='#551A8B' alink='red'>
+<a href='#toc'>Table of Contents</a><p>
+______________________________________________________________________________
+
+<p>
+<h2><a name='sect0' href='#toc0'><b>Name</b></a></h2>
+
+<p>
+table - Create and manipulate tables
+
+<p>
+<h2><a name='sect1' href='#toc1'><b>Synopsis</b></a></h2>
+
+<p>
+<b>table</b> <i>pathName</i> ?<i>options</i>?
+
+<p>
+<h2><a name='sect2' href='#toc2'><b>Standard</b> <b>Options</b></a></h2>
+
+
+<dl>
+
+<dt><b>-anchor</b> </dt></dt>
+<dd>        <b>-background</b>    <b>-cursor</b>
+</dd>
+
+<dt><b>-exportselection</b> </dt></dt>
+<dd>              <b>-font</b>           <b>-foreground</b>
+</dd>
+
+<dt><b>-highlightbackground</b> </dt></dt>
+<dd>          <b>-highlightcolor</b> <b>-highlightthickness</b>
+</dd>
+
+<dt><b>-insertbackground</b> </dt></dt>
+<dd>             <b>-insertborderwidth-insertofftime</b>
+<b>-insertontime</b> <b>-insertwidth</b> <b>-invertselected</b>
+</dd>
+
+<dt><b>-relief</b> </dt></dt>
+<dd>        <b>-takefocus</b>     <b>-xscrollcommand</b>
+<b>-yscrollcommand</b>
+
+<p></dd>
+</dl>
+<p>
+See the <b>options</b> manual entry for details on the standard options.
+
+<p>
+<h2><a name='sect3' href='#toc3'><b>Widget-specific</b> <b>Options</b></a></h2>
+
+<p>
+Command-Line Name:<b>-autoclear</b><br>
+
+Database Name: <b>autoClear</b><br>
+
+Database Class: <b>AutoClear</b>
+
+<p><p>
+A boolean value which specifies whether the first keypress in a
+cell will delete whatever text was previously there. Defaults
+to 0.
+
+<p><p>
+Command-Line Name:<b>-bordercursor</b><br>
+
+Database Name: <b>borderCursor</b><br>
+
+Database Class: <b>Cursor</b>
+
+<p><p>
+Specifies the name of the cursor to show when over borders, a
+visual indication that interactive resizing is allowed (it is
+thus affect by the value of -resizeborders). Defaults to
+<i>crosshair</i>.
+
+<p><p>
+Command-Line Name:<b>-borderwidth</b> <b>or</b> <b>-bd</b><br>
+
+Database Name: <b>borderWidth</b><br>
+
+Database Class: <b>BorderWidth</b>
+
+<p><p>
+Specifies a non-negative pixel value or list of values indicating
+the width of the 3-D border to draw on interior table cells
+(if such a border is being drawn; the <b>relief</b> option typically
+determines this). If one value is specified, a rectangle of
+this width will be drawn. If two values are specified, then
+only the left and right edges of the cell will have borders. If
+four values are specified, then the values correspond to the
+{left right top bottom} edges. This can be overridden by the a
+tag's borderwidth option. It can also be affected by the
+defined <b>-drawmode</b> for the table. Each value in the list must
+have one of the forms acceptable to <b>Tk_GetPixels</b>.
+
+<p><p>
+Command-Line Name:<b>-browsecommand</b> <b>or</b> <b>-browsecmd</b>
+Database Name: <b>browseCommand</b><br>
+
+Database Class: <b>BrowseCommand</b>
+
+<p><p>
+Specifies a command which will be evaluated anytime the active
+cell changes. It uses the %-substition model described in COMMAND
+SUBSTITUTION below. Any changes to the active cell while
+the command is running are ignored to prevent recursion.
+
+<p><p>
+Command-Line Name:<b>-cache</b><br>
+
+Database Name: <b>cache</b><br>
+
+Database Class: <b>Cache</b>
+
+<p><p>
+A boolean value that specifies whether an internal cache of the
+table contents should be kept. This greatly enhances speed performance
+when used with <b>-command</b> but uses extra memory. Can
+maintain state when both <b>-command</b> and <b>-variable</b> are empty. The
+cache is automatically flushed whenever the value of <b>-cache</b> or
+<b>-variable</b> changes, otherwise you have to explicitly call <b>clear</b>
+on it. Defaults to off.
+
+<p><p>
+Command-Line Name:<b>-colorigin</b><br>
+
+Database Name: <b>colOrigin</b><br>
+
+Database Class: <b>Origin</b>
+
+<p><p>
+Specifies what column index to interpret as the leftmost column
+in the table. This value is used for user indices in the table.
+Defaults to 0.
+
+<p><p>
+Command-Line Name:<b>-cols</b><br>
+
+Database Name: <b>cols</b><br>
+
+Database Class: <b>Cols</b>
+
+<p><p>
+Number of cols in the table. Defaults to 10.
+
+<p><p>
+Command-Line Name:<b>-colseparator</b><br>
+
+Database Name: <b>colSeparator</b><br>
+
+Database Class: <b>Separator</b>
+
+<p><p>
+Specifies a separator character that will be interpreted as the
+column separator when cutting or pasting data in a table. By
+default, columns are separated as elements of a tcl list.
+
+<p><p>
+Command-Line Name:<b>-colstretchmode</b><br>
+
+Database Name: <b>colStretchMode</b><br>
+
+Database Class: <b>StretchMode</b>
+
+<p><p>
+Specifies one of the following stretch modes for columns to fill
+extra allocated window space:
+
+<p><p>
+<b>none</b> Columns will not stretch to fill the assigned window
+space. If the columns are too narrow, there will be a
+blank space at the right of the table. This is the
+default.
+
+<p><p>
+<b>unset</b> Only columns that do not have a specific width set will
+be stretched.
+
+<p>
+<dl>
+
+<dt><b>all</b> </dt></dt>
+<dd>   All columns will be stretched by the same number of pixels
+to fill the window space allocated to the table.
+This mode can interfere with interactive border resizing
+which tries to force column width.
+
+<p></dd>
+</dl>
+<p>
+<b>last</b> The last column will be stretched to fill the window
+space allocated to the table.
+
+<p><p>
+<b>fill</b> (only valid for <b>-rowstretch</b> currently)
+The table will get more or less columns according to the
+window space allocated to the table. This mode has
+numerous quirks and may disappear in the future.
+
+<p><p>
+Command-Line Name:<b>-coltagcommand</b><br>
+
+Database Name: <b>colTagCommand</b><br>
+
+Database Class: <b>TagCommand</b>
+
+<p><p>
+Provides the name of a procedure that will be evaluated by the
+widget to determine the tag to be used for a given column. When
+displaying a cell, the table widget will first check to see if a
+tag has been defined using the <b>tag</b> <b>col</b> widget method. If no tag
+is found, it will evaluate the named procedure passing the column
+number in question as the sole argument. The procedure is
+expected to return the name of a tag to use, or a null string.
+Errors occurring during the evaluation of the procedure, or the
+return of an invalid tag name are silently ignored.
+
+<p><p>
+Command-Line Name:<b>-colwidth</b><br>
+
+Database Name: <b>colWidth</b><br>
+
+Database Class: <b>ColWidth</b>
+
+<p><p>
+Default column width, interpreted as characters in the default
+font when the number is positive, or pixels if it is negative.
+Defaults to 10.
+
+<p><p>
+Command-Line Name:<b>-command</b><br>
+
+Database Name: <b>command</b><br>
+
+Database Class: <b>Command</b>
+
+<p><p>
+Specified a command to use as a procedural interface to cell
+values. If <b>-usecommand</b> is true, this command will be used
+instead of any reference to the <b>-variable</b> array. When retrieving
+cell values, the return value of the command is used as the
+value for the cell. It uses the %-substition model described in
+COMMAND SUBSTITUTION below.
+
+<p><p>
+Command-Line Name:<b>-drawmode</b><br>
+
+Database Name: <b>drawMode</b><br>
+
+Database Class: <b>DrawMode</b>
+
+<p><p>
+Sets the table drawing mode to one of the following options:
+
+<p><p>
+<b>slow</b> The table is drawn to an offscreen pixmap using the Tk
+bordering functions (double-buffering). This means there
+will be no flashing, but this mode is slow for larger
+tables.
+
+<p><p>
+<b>compatible</b><br>
+
+The table is drawn directly to the screen using the Tk
+border functions. It is faster, but the screen may flash
+on update. This is the default.
+
+<p>
+<dl>
+
+<dt><b>fast</b> </dt></dt>
+<dd>The table is drawn directly to the screen and the borders
+are done with fast X calls, so they are always one pixel
+wide only. As a side effect, it restricts <b>-borderwidth</b>
+to a range of 0 or 1. This mode provides best performance
+for large tables, but can flash on redraw and is
+not 100% Tk compatible on the border mode.
+
+<p></dd>
+</dl>
+<p>
+<b>single</b> The table is drawn to the screen as in fast mode, but
+only single pixel lines are drawn (not square borders).
+
+<p><p>
+Command-Line Name:<b>-ellipsis</b><br>
+
+Database Name: <b>ellipsis</b><br>
+
+Database Class: <b>Ellipsis</b>
+
+<p><p>
+This specifies a string to display at the end of a line that
+would be clipped by its cell, like ``...''. An ellipsis will be
+displayed only on non-wrapping, non-multiline cells that would
+be clipped. The ellipsis will display on the left for east
+anchored cells, otherwise it displays on the right. Defaults to
+ (no ellipsis).
+
+<p><p>
+Command-Line Name:<b>-flashmode</b><br>
+
+Database Name: <b>flashMode</b><br>
+
+Database Class: <b>FlashMode</b>
+
+<p><p>
+A boolean value which specifies whether cells should flash when
+their value changes. The table tag <b>flash</b> will be applied to
+these cells for the duration specified by <b>-flashtime</b>. Defaults
+to 0.
+
+<p><p>
+Command-Line Name:<b>-flashtime</b><br>
+
+Database Name: <b>flashTime</b><br>
+
+Database Class: <b>FlashTime</b>
+
+<p><p>
+The amount of time, in 1/4 second increments, for which a cell
+should flash when its value has changed. <b>-flashmode</b> must be on.
+Defaults to 2.
+
+<p><p>
+Command-Line Name:<b>-height</b><br>
+
+Database Name: <b>height</b><br>
+
+Database Class: <b>Height</b>
+
+<p><p>
+Specifies the desired height for the window, in rows. If zero
+or less, then the desired height for the window is made just
+large enough to hold all the rows in the table. The height can
+be further limited by <b>-maxheight</b>.
+
+<p><p>
+Command-Line Name:<b>-invertselected</b><br>
+
+Database Name: <b>invertSelected</b><br>
+
+Database Class: <b>InvertSelected</b>
+
+<p><p>
+Specifies whether the foreground and background of an item
+should simply have their values swapped instead of merging the
+<i>sel</i> tag options when the cell is selected. Defaults to 0 (merge
+<i>sel</i> tag).
+
+<p><p>
+Command-Line Name:<b>-ipadx</b><br>
+
+Database Name: <b>ipadX</b><br>
+
+Database Class: <b>Pad</b>
+
+<p><p>
+A pixel value specifying the internal offset X padding for text
+in a cell. This value does not grow the size of the cell, it
+just causes the text to be drawn further from the cell border.
+It only affects one side (depending on anchor). Defaults to 0.
+See <b>-padx</b> for an alternate padding style.
+
+<p><p>
+Command-Line Name:<b>-ipady</b><br>
+
+Database Name: <b>ipadY</b><br>
+
+Database Class: <b>Pad</b>
+
+<p><p>
+A pixel value specifying the internal offset Y padding for text
+in a cell. This value does not grow the size of the cell, it
+just causes the text to be drawn further from the cell border.
+It only affects one side (depending on anchor). Defaults to 0.
+See <b>-pady</b> for an alternate padding style.
+
+<p><p>
+Command-Line Name:<b>-justify</b><br>
+
+Database Name: <b>justify</b><br>
+
+Database Class: <b>Justify</b>
+
+<p><p>
+How to justify multi-line text in a cell. It must be one of
+<b>left</b>, <b>right</b>, or <b>center</b>. Defaults to left.
+
+<p><p>
+Command-Line Name:<b>-maxheight</b><br>
+
+Database Name: <b>maxHeight</b><br>
+
+Database Class: <b>MaxHeight</b>
+
+<p><p>
+The max height in pixels that the window will request. Defaults
+to 600.
+
+<p><p>
+Command-Line Name:<b>-maxwidth</b><br>
+
+Database Name: <b>maxWidth</b><br>
+
+Database Class: <b>MaxWidth</b>
+
+<p><p>
+The max width in pixels that the window will request. Defaults
+to 800.
+
+<p><p>
+Command-Line Name:<b>-multiline</b><br>
+
+Database Name: <b>multiline</b><br>
+
+Database Class: <b>Multiline</b>
+
+<p><p>
+Specifies the default setting for the multiline tag option.
+Defaults to 1.
+
+<p><p>
+Command-Line Name:<b>-padx</b><br>
+
+Database Name: <b>padX</b><br>
+
+Database Class: <b>Pad</b>
+
+<p><p>
+A pixel value specifying the offset X padding for a cell. This
+value causes the default size of the cell to increase by two
+times the value (one for each side), unless a specific pixel
+size is chosen for the cell with the <b>width</b> command. This will
+force an empty area on the left and right of each cell edge.
+This padding affects all types of data in the cell. Defaults to
+0. See <b>-ipadx</b> for an alternate padding style.
+
+<p><p>
+Command-Line Name:<b>-pady</b><br>
+
+Database Name: <b>padY</b><br>
+
+Database Class: <b>Pad</b>
+
+<p><p>
+A pixel value specifying the offset Y padding for a cell. This
+value causes the default size of the cell to increase by two
+times the value (one for each side), unless a specific pixel
+size is chosen for the cell with the <b>height</b> command. This will
+force an empty area on the top and bottom of each cell edge.
+This padding affects all types of data in the cell. Defaults to
+0. See <b>-ipadx</b> for an alternate padding style.
+
+<p><p>
+Command-Line Name:<b>-resizeborders</b><br>
+
+Database Name: <b>resizeBorders</b><br>
+
+Database Class: <b>ResizeBorders</b>
+
+<p><p>
+Specifies what kind of interactive border resizing to allow,
+must be one of row, col, both (default) or none.
+
+<p><p>
+Command-Line Name:<b>-rowheight</b><br>
+
+Database Name: <b>rowHeight</b><br>
+
+Database Class: <b>RowHeight</b>
+
+<p><p>
+Default row height, interpreted as lines in the default font
+when the number is positive, or pixels if it is negative.
+Defaults to 1.
+
+<p><p>
+Command-Line Name:<b>-roworigin</b><br>
+
+Database Name: <b>rowOrigin</b><br>
+
+Database Class: <b>Origin</b>
+
+<p><p>
+Specifies what row index to interpret as the topmost row in the
+table. This value is used for user indices in the table.
+Defaults to 0.
+
+<p><p>
+Command-Line Name:<b>-rows</b><br>
+
+Database Name: <b>rows</b><br>
+
+Database Class: <b>Rows</b>
+
+<p><p>
+Number of rows in the table. Defaults to 10.
+
+<p><p>
+Command-Line Name:<b>-rowseparator</b><br>
+
+Database Name: <b>rowSeparator</b><br>
+
+Database Class: <b>Separator</b>
+
+<p><p>
+Specifies a separator character that will be interpreted as the
+row separator when cutting or pasting data in a table. By
+default, rows are separated as tcl lists.
+
+<p><p>
+Command-Line Name:<b>-rowstretchmode</b><br>
+
+Database Name: <b>rowStretchMode</b><br>
+
+Database Class: <b>StretchMode</b>
+
+<p><p>
+Specifies the stretch modes for rows to fill extra allocated
+window space. See <b>-colstretchmode</b> for valid options.
+
+<p><p>
+Command-Line Name:<b>-rowtagcommand</b><br>
+
+Database Name: <b>rowTagCommand</b><br>
+
+Database Class: <b>TagCommand</b>
+
+<p><p>
+Provides the name of a procedure that can evaluated by the widget
+to determine the tag to be used for a given row. The procedure
+must be defined by the user to accept a single argument
+(the row number), and return a tag name or null string. This
+operates in a similar manner as <b>-coltagcommand</b>, except that it
+applies to row tags.
+
+<p><p>
+Command-Line Name:<b>-selectioncommand</b> <b>or</b> <b>-selcmd</b>
+Database Name: <b>selectionCommand</b><br>
+
+Database Class: <b>SelectionCommand</b>
+
+<p><p>
+Specifies a command to evaluate when the selection is retrieved
+from a table via the selection mechanism (ie: evaluating
+``<b>selection</b> <b>get</b>''). The return value from this command will
+become the string passed on by the selection mechanism. It uses
+the %-substition model described in COMMAND SUBSTITUTION below.
+If an error occurs, a Tcl background error is generated and
+nothing is returned.
+
+<p><p>
+Command-Line Name:<b>-selectmode</b><br>
+
+Database Name: <b>selectMode</b><br>
+
+Database Class: <b>SelectMode</b>
+
+<p><p>
+Specifies one of several styles for manipulating the selection.
+The value of the option may be arbitrary, but the default bindings
+expect it to be either <b>single</b>, <b>browse</b>, <b>multiple</b>, or
+<b>extended</b>; the default value is <b>browse</b>. These styles are like
+those for the Tk listbox, except expanded for 2 dimensions.
+
+<p><p>
+Command-Line Name:<b>-selecttitle</b><br>
+
+Database Name: <b>selectTitles</b><br>
+
+Database Class: <b>SelectTitles</b>
+
+<p><p>
+Specifies whether title cells should be allowed in the selection.
+Defaults to 0 (disallowed).
+
+<p><p>
+Command-Line Name:<b>-selecttype</b><br>
+
+Database Name: <b>selectType</b><br>
+
+Database Class: <b>SelectType</b>
+
+<p><p>
+Specifies one of several types of selection for the table. The
+value of the option may be one of <b>row</b>, <b>col</b>, <b>cell</b>, or <b>both</b>
+(meaning <b>row</b> <b>&amp;&amp;</b> <b>col</b>); the default value is <b>cell</b>. These types
+define whether an entire row/col is affected when a cell's
+selection is changed (set or clear).
+
+<p><p>
+Command-Line Name:<b>-sparsearray</b><br>
+
+Database Name: <b>sparseArray</b><br>
+
+Database Class: <b>SparseArray</b>
+
+<p><p>
+A boolean value that specifies whether an associated Tcl array
+should be kept as a sparse array (1, the default) or as a full
+array (0). If true, then cell values that are empty will be
+deleted from the array (taking less memory). If false, then all
+values in the array will be maintained.
+
+<p><p>
+Command-Line Name:<b>-state</b><br>
+
+Database Name: <b>state</b><br>
+
+Database Class: <b>State</b>
+
+<p><p>
+Specifies one of two states for the entry: <b>normal</b> or <b>disabled</b>.
+If the table is disabled then the value may not be changed using
+widget commands and no insertion cursor will be displayed, even
+if the input focus is in the widget. Also, all insert or delete
+methods will be ignored. Defaults to <b>normal</b>.
+
+<p><p>
+Command-Line Name:<b>-titlecols</b><br>
+
+Database Name: <b>titleCols</b><br>
+
+Database Class: <b>TitleCols</b>
+
+<p><p>
+Number of columns to use as a title area. Defaults to 0.
+
+<p><p>
+Command-Line Name:<b>-titlerows</b><br>
+
+Database Name: <b>titleRows</b><br>
+
+Database Class: <b>TitleRows</b>
+
+<p><p>
+Number of rows to use as a title area. Defaults to 0.
+
+<p><p>
+Command-Line Name:<b>-usecommand</b><br>
+
+Database Name: <b>useCommand</b><br>
+
+Database Class: <b>UseCommand</b>
+
+<p><p>
+A boolean value which specifies whether to use the <b>command</b>
+option. This value sets itself to zero if <b>command</b> is used and
+returns an error. Defaults to 1 (will use <b>command</b> if specified).
+
+<p><p>
+Command-Line Name:<b>-validate</b><br>
+
+Database Name: <b>validate</b><br>
+
+Database Class: <b>Validate</b>
+
+<p><p>
+A boolean specifying whether validation should occur for the
+active buffer. Defaults to 0.
+
+<p><p>
+Command-Line Name:<b>-validatecommand</b> <b>or</b> <b>-vcmd</b>
+Database Name: <b>validateCommand</b><br>
+
+Database Class: <b>ValidateCommand</b>
+
+<p><p>
+Specifies a command to execute when the active cell is edited.
+This command is expected to return a Tcl boolean. If it returns
+true, then it is assumed the new value is OK, otherwise the new
+value is rejected (the edition will not take place). Errors in
+this command are handled in the background. It uses the %-substition
+model described in COMMAND SUBSTITUTION below.
+
+<p><p>
+Command-Line Name:<b>-variable</b><br>
+
+Database Name: <b>variable</b><br>
+
+Database Class: <b>Variable</b>
+
+<p><p>
+Global Tcl array variable to attach to the table's C array. It
+will be created if it doesn't already exist or is a simple variable.
+Keys used by the table in the array are of the form
+<i>row</i>,<i>col</i> for cells and the special key <i>active</i> which contains the
+value of the active cell buffer. The Tcl array is managed as a
+sparse array (the table does not require that all valid indices
+have values). No stored value for an index is equivalent to the
+empty string, and clearing a cell will remove that index from
+the Tcl array, unless the <b>-sparsearray</b> options is set to 0.
+
+<p><p>
+Command-Line Name:<b>-width</b><br>
+
+Database Name: <b>width</b><br>
+
+Database Class: <b>Width</b>
+
+<p><p>
+Specifies the desired width for the window, in columns. If zero
+or less, then the desired width for the window is made just
+large enough to hold all the columns in the table. The width
+can be further limited by <b>-maxwidth</b>.
+
+<p><p>
+Command-Line Name:<b>-wrap</b><br>
+
+Database Name: <b>wrap</b><br>
+
+Database Class: <b>Wrap</b>
+
+<p><p>
+Specifies the default wrap value for tags. Defaults to 0.
+_________________________________________________________________
+
+<p>
+<h2><a name='sect4' href='#toc4'><b>Description</b></a></h2>
+
+<p>
+The <b>table</b> command creates a 2-dimensional grid of cells. The table can
+use a Tcl array variable or Tcl command for data storage and retrieval,
+as well as optionally cache data in memory for speed. One of these
+data sources <i>must</i> be configured before any data is retained by the table.
+The widget has an active cell, the contents of which can be
+edited (when the state is normal). The widget supports a default style
+for the cells and also multiple <i>tags</i>, which can be used to change the
+style of a row, column or cell (see TAGS for details). A cell <i>flash</i>
+can be set up so that changed cells will change color for a specified
+amount of time ("blink"). Cells can have embedded images or windows,
+as described in TAGS and EMBEDDED WINDOWS respectively.
+
+<p><p>
+One or more cells may be selected as described below. If a table is
+exporting its selection (see <b>-exportselection</b> option), then it will
+observe the standard X11 protocols for handling the selection. See THE
+SELECTION for details.
+
+<p><p>
+It is not necessary for all the cells to be displayed in the table window
+at once; commands described below may be used to change the view in
+the window. Tables allow scrolling in both directions using the standard
+<b>-xscrollcommand</b> and <b>-yscrollcommand</b> options. They also support
+scanning, as described below.
+
+<p><p>
+In order to obtain good performance, the table widget supports multiple
+drawing modes, two of which are fully Tk compatible.
+
+<p>
+<h2><a name='sect5' href='#toc5'><b>Initialization</b></a></h2>
+
+<p>
+When the <b>table</b> command is loaded into an interpreter, a built-in Tcl
+command, <b>tkTableInit</b>, is evaluated. This will search for the appropriate
+table binding init file to load. The directories searched are
+those in <i>$tcl</i><b>_</b><i>pkgPath</i>, both with Tktable(version) appended and without,
+<i>$tk</i><b>_</b><i>library</i> and <i>[pwd]</i> (the current directory). You can also define an
+<i>$env(TK</i><b>_</b><i>TABLE</i><b>_</b><i>LIBRARY)</i> to head this search list. By default, the file
+searched for is called <b>tkTable.tcl</b>, but this can be overridden by setting
+<i>$env(TK</i><b>_</b><i>TABLE</i><b>_</b><i>LIBRARY</i><b>_</b><i>FILE)</i>.
+
+<p><p>
+This entire init script can be overridden by providing your own
+<b>tkTableInit</b> procedure before the library is loaded. Otherwise, the
+aforementioned <i>env(TK</i><b>_</b><i>TABLE</i><b>_</b><i>LIBRARY)</i> variable will be set with the
+directory in which <i>$env(TK</i><b>_</b><i>TABLE</i><b>_</b><i>LIBRARY</i><b>_</b><i>FILE)</i> was found.
+
+<p>
+<h2><a name='sect6' href='#toc6'><b>Indices</b></a></h2>
+
+<p>
+Many of the widget commands for tables take one or more indices as
+arguments. An index specifies a particular cell of the table, in any
+of the following ways:
+
+<p><p>
+<i>number,number</i><br>
+
+Specifies the cell as a numerical index of row,col which
+corresponds to the index of the associated Tcl array, where
+<b>-roworigin,-colorigin</b> corresponds to the first cell in the
+table (0,0 by default). The values for row and column will
+be constrained to actual values in the table, which means a
+valid cell is always found.
+
+<p>
+<dl>
+
+<dt><b>active</b> </dt></dt>
+<dd>     Indicates the cell that has the location cursor. It is
+specified with the <b>activate</b> widget command.
+
+<p></dd>
+
+<dt><b>anchor</b> </dt></dt>
+<dd>     Indicates the anchor point for the selection, which is set
+with the <b>selection</b> <b>anchor</b> widget command.
+
+<p></dd>
+</dl>
+<p>
+<b>bottomright</b> Indicates the bottom-rightmost cell visible in the table.
+
+<p>
+<dl>
+
+<dt><b>end</b> </dt></dt>
+<dd>        Indicates the bottom right cell of the table.
+
+<p></dd>
+
+<dt><b>origin</b> </dt></dt>
+<dd>     Indicates the top-leftmost editable cell of the table, not
+necessarily in the display. This takes into account the
+user specified origin and title area.
+
+<p></dd>
+
+<dt><b>topleft</b> </dt></dt>
+<dd>    Indicates the top-leftmost editable cell visible in the table
+(this excludes title cells).
+
+<p></dd>
+
+<dt><b>@</b><i>x</i><b>,</b><i>y</i> </dt></dt>
+<dd>       Indicates the cell that covers the point in the table window
+specified by <i>x</i> and <i>y</i> (in pixel coordinates). If no
+cell covers that point, then the closest cell to that point
+is used.
+
+<p></dd>
+</dl>
+<p>
+In the widget command descriptions below, arguments named <i>index</i>, <i>first</i>,
+and <i>last</i> always contain text indices in one of the above forms.
+
+<p>
+<h2><a name='sect7' href='#toc7'><b>Tags</b></a></h2>
+
+<p>
+A tag is a textual string that is associated with zero or more rows,
+columns or cells in a table. Tags may contain arbitrary characters,
+but it is probably best to avoid using names which look like indices to
+reduce coding confusion. A tag can apply to an entire row or column,
+or just a single cell. There are several permanent tags in each table
+that can be configured by the user and will determine the attributes
+for special cells:
+
+<p>
+<dl>
+
+<dt><b>active</b> </dt></dt>
+<dd>   This tag is given to the <i>active</i> cell
+
+<p></dd>
+
+<dt><b>flash</b> </dt></dt>
+<dd>    If flash mode is on, this tag is given to any recently
+edited cells.
+
+<p></dd>
+
+<dt><b>sel</b> </dt></dt>
+<dd>      This tag is given to any selected cells.
+
+<p></dd>
+
+<dt><b>title</b> </dt></dt>
+<dd>    This tag is given to any cells in the title rows and
+columns. This tag has <b>-state</b> <i>disabled</i> by default.
+
+<p></dd>
+</dl>
+<p>
+Tags control the way cells are displayed on the screen. Where appropriate,
+the default for displaying cells is determined by the options
+for the table widget. However, display options may be associated with
+individual tags using the ``<i>pathName</i> <b>tag</b> <b>configure</b>'' widget command.
+If a cell, row or column has been tagged, then the display options
+associated with the tag override the default display style. The following
+options are currently supported for tags:
+
+<p>
+<dl>
+
+<dt><b>-anchor</b> <i>anchor</i></dt></dt>
+<dd>
+Anchor for item in the cell space.
+
+<p></dd>
+
+<dt><b>-background</b> or <b>-bg</b> <i>color</i></dt></dt>
+<dd>
+Background color of the cell.
+
+<p></dd>
+
+<dt><b>-borderwidth</b> or <b>-bd</b> <i>pixelList</i></dt></dt>
+<dd>
+Borderwidth of the cell, of the same format for the table,
+but may also be empty to inherit the default table
+borderwidth value (the default).
+
+<p></dd>
+
+<dt><b>-ellipsis</b> <i>string</i></dt></dt>
+<dd>
+String to display at the end of a line that would be
+clipped by its cell, like ``...''. An ellipsis will be
+displayed only on non-wrapping, non-multiline cells that
+would be clipped. The ellipsis will display on the left
+for east anchored cells, otherwise it displays on the
+right.
+
+<p></dd>
+
+<dt><b>-font</b> <i>fontName</i></dt></dt>
+<dd>
+Font for text in the cell.
+
+<p></dd>
+
+<dt><b>-foreground</b> or <b>-fg</b> <i>color</i></dt></dt>
+<dd>
+Foreground color of the cell.
+
+<p></dd>
+
+<dt><b>-justify</b> <i>justify</i></dt></dt>
+<dd>
+How to justify multi-line text in a cell. It must be one
+of <b>left</b>, <b>right</b>, or <b>center</b>.
+
+<p></dd>
+
+<dt><b>-image</b> <i>imageName</i></dt></dt>
+<dd>
+An image to display in the cell instead of text.
+
+<p></dd>
+
+<dt><b>-multiline</b> <i>boolean</i></dt></dt>
+<dd>
+Whether to display text with newlines on multiple lines.
+
+<p></dd>
+
+<dt><b>-relief</b> <i>relief</i></dt></dt>
+<dd>
+The relief for the cell. May be the empty string to
+cause this tag to not disturb the value.
+
+<p></dd>
+
+<dt><b>-showtext</b> <i>boolean</i></dt></dt>
+<dd>
+Whether to show the text over an image.
+
+<p></dd>
+
+<dt><b>-state</b> <i>state</i></dt></dt>
+<dd>
+The state of the cell, to allow for certain cells to be
+disabled. This prevents the cell from being edited by
+the <i>insert</i> or <i>delete</i> methods, but a direct <i>set</i> will not
+be prevented.
+
+<p></dd>
+
+<dt><b>-wrap</b> <i>boolean</i></dt></dt>
+<dd>
+Whether characters should wrap in a cell that is not wide
+enough.
+
+<p></dd>
+</dl>
+<p>
+A priority order is defined among tags based on creation order (first
+created tag has highest default priority), and this order is used in
+implementing some of the tag-related functions described below. When a
+cell is displayed, its properties are determined by the tags which are
+assigned to it. The priority of a tag can be modified by the ``<i>path</i><b>_N</b><i>ame</i>
+<b>tag</b> <b>lower</b>'' and ``<i>pathName</i> <b>tag</b> <b>raise</b>'' widget commands.
+
+<p><p>
+If a cell has several tags associated with it that define the same
+display options (eg - a <b>title</b> cell with specific <b>row</b> and <b>cell</b> tags),
+then the options of the highest priority tag are used. If a particular
+display option hasn't been specified for a particular tag, or if it is
+specified as an empty string, then that option will not be used; the
+next-highest-priority tag's option will be used instead. If no tag
+specifies a particular display option, then the default style for the
+widget will be used.
+
+<p><p>
+Images are used for display purposes only. Editing in that cell will
+still be enabled and any querying of the cell will show the text value
+of the cell, regardless of the value of <b>-showtext</b>.
+
+<p>
+<h2><a name='sect8' href='#toc8'><b>Embedded</b> <b>Windows</b></a></h2>
+
+<p>
+There may be any number of embedded windows in a table widget (one per
+cell), and any widget may be used as an embedded window (subject to the
+usual rules for geometry management, which require the table window to
+be the parent of the embedded window or a descendant of its parent).
+The embedded window's position on the screen will be updated as the table
+is modified or scrolled, and it will be mapped and unmapped as it
+moves into and out of the visible area of the table widget. Each
+embedded window occupies one cell's worth of space in the table widget,
+and it is referred to by the index of the cell in the table. Windows
+associated with the table widget are destroyed when the table widget is
+destroyed.
+
+<p><p>
+Windows are used for display purposes only. A value still exists for
+that cell, but will not be shown unless the window is deleted in some
+way. If the window is destroyed or lost by the table widget to another
+geometry manager, then any data associated with it is lost (the cell it
+occupied will no longer appear in <b>window</b> <b>names</b>).
+
+<p><p>
+When an embedded window is added to a table widget with the window configure
+widget command, several configuration options may be associated
+with it. These options may be modified with later calls to the window
+configure widget command. The following options are currently supported:
+
+<p>
+<dl>
+
+<dt><b>-create</b> <i>script</i></dt></dt>
+<dd>
+NOT CURRENTLY SUPPORTED. Specifies a Tcl script that may
+be evaluated to create the window for the annotation. If
+no -window option has been specified for this cell then
+this script will be evaluated when the cell is about to
+be displayed on the screen. Script must create a window
+for the cell and return the name of that window as its
+result. If the cell's window should ever be deleted, the
+script will be evaluated again the next time the cell is
+displayed.
+
+<p></dd>
+
+<dt><b>-background</b> or <b>-bg</b> <i>color</i></dt></dt>
+<dd>
+Background color of the cell. If not specified, it uses
+the table's default background.
+
+<p></dd>
+
+<dt><b>-borderwidth</b> or <b>-bd</b> <i>pixelList</i></dt></dt>
+<dd>
+Borderwidth of the cell, of the same format for the table,
+but may also be empty to inherit the default table
+borderwidth value (the default).
+
+<p></dd>
+
+<dt><b>-padx</b> <i>pixels</i></dt></dt>
+<dd>
+As defined in the Tk options man page.
+
+<p></dd>
+
+<dt><b>-pady</b> <i>pixels</i></dt></dt>
+<dd>
+As defined in the Tk options man page.
+
+<p></dd>
+
+<dt><b>-relief</b> <i>relief</i></dt></dt>
+<dd>
+The relief to use for the cell in which the window lies.
+If not specified, it uses the table's default relief.
+
+<p></dd>
+
+<dt><b>-sticky</b> <i>sticky</i></dt></dt>
+<dd>
+Stickiness of the window inside the cell, as defined by
+the <b>grid</b> command.
+
+<p></dd>
+
+<dt><b>-window</b> <i>pathName</i></dt></dt>
+<dd>
+Specifies the name of a window (widget) to display in the
+annotation. It must exist before being specified here.
+When an empty string is specified, if a window was displayed
+it will cease to be managed by the table widget.
+
+<p></dd>
+</dl>
+
+<h2><a name='sect9' href='#toc9'><b>the</b> <b>Selection</b></a></h2>
+
+<p>
+Table selections are available as type STRING. By default, the value
+of the selection will be the values of the selected cells in nested Tcl
+list form where each row is a list and each column is an element of a
+row list. You can change the way this value is interpreted by setting
+the <b>-rowseparator</b> and <b>-colseparator</b> options. For example, default
+Excel format would be to set <b>-rowseparator</b> to `\n' and <b>-colseparator</b> to
+`\t'. Changing these values affects both how the table sends out the
+selection and reads in pasted data, ensuring that the table should
+always be able to cut and paste to itself. It is possible to change
+how pastes are handled by editing the table library procedure
+<b>tk_tablePasteHandler</b>. This might be necessary if <b>-selectioncommand</b> is
+set.
+
+<p>
+<h2><a name='sect10' href='#toc10'><b>Row/Col</b> <b>Spanning</b></a></h2>
+
+<p>
+Individual cells can span multiple rows and/or columns. This is done
+via the <b>spans</b> command (see below for exact arguments). Cells in the
+title area that span are not permitted to span beyond the title area,
+and will be constrained accordingly. If the title area shrinks during
+a configure, sanity checking will occur to ensure the above. You may
+set spans on regular cells that extend beyond the defined row/col area.
+These spans will not be constrained, so that when the defined row/col
+area expands, the span will expand with it.
+
+<p><p>
+When setting a span, checks are made as to whether the span would overlap
+an already spanning or hidden cell. This is an error and it not
+allowed. Spans can affect the overall speed of table drawing, although
+not significantly. If spans are not used, then there is no performance
+loss.
+
+<p><p>
+Cells <i>hidden</i> by spanning cells still have valid data. This will be
+seen during cut and paste operations that involve hidden cells, or
+through direct access by a command like <b>get</b> or <b>set</b>.
+
+<p><p>
+The drawing properties of spanning cells apply to only the visual area
+of the cell. For example, if a cell is center justified over 5
+columns, then when viewing any portion of those columns, it will appear
+centered in the visible area. The non-visible column area will not be
+considered in the centering calculations.
+
+<p>
+<h2><a name='sect11' href='#toc11'><b>Command</b> <b>Substitution</b></a></h2>
+
+<p>
+The various option based commands that the table supports all support
+the familiar Tk %-substitution model (see <b>bind</b> for more details). The
+following %-sequences are recognized and substituted by the table widget:
+
+<p><p>
+<b>%c</b> For <b>SelectionCommand</b>, it is the maximum number of columns in any
+row in the selection. Otherwise it is the column of the triggered
+cell.
+
+<p>
+<dl>
+
+<dt><b>%C</b> </dt></dt>
+<dd>A convenience substitution for <i>%r</i>,<i>%c</i>.
+
+<p></dd>
+</dl>
+<p>
+<b>%i</b> For <b>SelectionCommand</b>, it is the total number of cells in the
+selection. For <b>Command</b>, it is 0 for a read (get) and 1 for a
+write (set). Otherwise it is the current cursor position in the
+cell.
+
+<p><p>
+<b>%r</b> For <b>SelectionCommand</b>, it is the number of rows in the selection.
+Otherwise it is the row of the triggered cell.
+
+<p><p>
+<b>%s</b> For <b>ValidateCommand</b>, it is the current value of the cell being
+validated. For <b>SelectionCommand</b>, it is the default value of the
+selection. For <b>BrowseCommand</b>, it is the index of the last active
+cell. For <b>Command</b>, it is empty for reads (get) and the current
+value of the cell for writes (set).
+
+<p><p>
+<b>%S</b> For <b>ValidateCommand</b>, it is the potential new value of the cell
+being validated. For <b>BrowseCommand</b>, it is the index of the new
+active cell.
+
+<p>
+<dl>
+
+<dt><b>%W</b> </dt></dt>
+<dd>The pathname to the window for which the command was generated.
+
+<p></dd>
+</dl>
+
+<h2><a name='sect12' href='#toc12'><b>Widget</b> <b>Command</b></a></h2>
+
+<p>
+The <b>table</b> command creates a new Tcl command whose name is <i>pathName</i>.
+This command may be used to invoke various operations on the widget.
+It has the following general form:<br>
+
+<i>pathName</i> <i>option</i> ?<i>arg</i> <i>arg</i> <i>...</i>?<br>
+
+<i>Option</i> and the <i>arg</i>s determine the exact behavior of the command.
+
+<p><p>
+The following commands are possible for <b>table</b> widgets:
+
+<p><p>
+<i>pathName</i> <b>activate</b> <i>index</i><br>
+
+Sets the active cell to the one indicated by <i>index</i>.
+
+<p><p>
+<i>pathName</i> <b>bbox</b> <i>first</i> ?<i>last</i>?<br>
+
+It returns the bounding box for the specified cell (range) as a
+4-tuple of x, y, width and height in pixels. It clips the box
+to the visible portion, if any, otherwise an empty string is
+returned.
+
+<p><p>
+<i>pathName</i> <b>border</b> <i>option</i> <i>args</i><br>
+
+This command is a voodoo hack to implement border sizing for
+tables. This is normally called through bindings, with the following
+as valid options:
+
+<p><p>
+<i>pathName</i> <b>border</b> <b>mark</b> <i>x</i> <i>y</i> ?<i>row|col</i>?
+Records <i>x</i> and <i>y</i> and the row and/or column border under
+that point in the table window, if any; used in conjunction
+with later <b>border</b> <b>dragto</b> commands. Typically this
+command is associated with a mouse button press in the
+widget. If <i>row</i> or <i>col</i> is not specified, it returns a
+tuple of both border indices (an empty item means no border).
+Otherwise, just the specified item is returned.
+
+<p><p>
+<i>pathName</i> <b>border</b> <b>dragto</b> <i>x</i> <i>y</i><br>
+
+This command computes the difference between its <i>x</i> and <i>y</i>
+arguments and the <i>x</i> and <i>y</i> arguments to the last <b>border</b>
+<b>mark</b> command for the widget. It then adjusts the previously
+marked border by the difference. This command is
+typically associated with mouse motion events in the widget,
+to produce the effect of interactive border resizing.
+
+<p><p>
+<i>pathName</i> <b>cget</b> <i>option</i><br>
+
+Returns the current value of the configuration option given by
+<i>option</i>. <i>Option</i> may have any of the values accepted by the <b>table</b>
+command.
+
+<p><p>
+<i>pathName</i> <b>clear</b> <i>option</i> ?<i>first</i>? ?<i>last</i>?<br>
+
+This command is a convenience routine to clear certain state
+information managed by the table. <i>first</i> and <i>last</i> represent
+valid table indices. If neither are specified, then the command
+operates on the whole table. The following options are recognized:
+
+<p><p>
+<i>pathName</i> <b>clear</b> <b>cache</b> ?<i>first</i>? ?<i>last</i>?
+Clears the specified section of the cache, if the table
+has been keeping one.
+
+<p><p>
+<i>pathName</i> <b>clear</b> <b>sizes</b> ?<i>first</i>? ?<i>last</i>?
+Clears the specified row and column areas of specific
+height/width dimensions. When just one index is specified,
+for example <b>2,0</b>, that is interpreted as row 2 <b>and</b>
+column 0.
+
+<p><p>
+<i>pathName</i> <b>clear</b> <b>tags</b> ?<i>first</i>? ?<i>last</i>?
+Clears the specified area of tags (all row, column and
+cell tags).
+
+<p><p>
+<i>pathName</i> <b>clear</b> <b>all</b> ?<i>first</i>? ?<i>last</i>?
+Performs all of the above clear functions on the specified
+area.
+
+<p><p>
+<i>pathName</i> <b>configure</b> ?<i>option</i>? ?<i>value</i> <i>option</i> <i>value</i> <i>...</i>?
+Query or modify the configuration options of the widget. If no
+<i>option</i> is specified, returns a list describing all of the available
+options for <i>pathName</i> (see <b>Tk_ConfigureInfo</b> for information
+on the format of this list). If <i>option</i> is specified with no
+<i>value</i>, then the command returns a list describing the one named
+option (this list will be identical to the corresponding sublist
+of the value returned if no <i>option</i> is specified). If one or
+more <i>option-value</i> pairs are specified, then the command modifies
+the given widget option(s) to have the given value(s); in this
+case the command returns an empty string. <i>Option</i> may have any
+of the values accepted by the <b>table</b> command.
+
+<p><p>
+<i>pathName</i> <b>curselection</b> ?<i>value</i>?<br>
+
+With no arguments, it returns the sorted indices of the currently
+selected cells. Otherwise it sets all the selected cells
+to the given value. The set has no effect if there is no associated
+Tcl array or the state is disabled.
+
+<p><p>
+<i>pathName</i> <b>curvalue</b> ?<i>value</i>?<br>
+
+If no value is given, the value of the cell being edited
+(indexed by <b>active</b>) is returned, else it is set to the given
+value.
+
+<p><p>
+<i>pathName</i> <b>delete</b> <i>option</i> <i>arg</i> ?<i>arg</i>?<br>
+
+This command is used to delete various things in a table. It
+has several forms, depending on the <i>option</i>:
+
+<p><p>
+<i>pathName</i> <b>delete</b> <b>active</b> <i>index</i> ?<i>index</i>?
+Deletes text from the active cell. If only one index is
+given, it deletes the character after that index, otherwise
+it deletes from the first index to the second.
+<i>index</i> can be a number, <b>insert</b> or <b>end</b>.
+
+<p><p>
+<i>pathName</i> <b>delete</b> <b>cols</b> ?<i>switches</i>? <i>index</i> ?<i>count</i>?
+Deletes <i>count</i> cols starting at (and including) col <i>index</i>.
+The <i>index</i> will be constrained to the limits of the
+tables. If <i>count</i> is negative, it deletes cols to the
+left. Otherwise it deletes cols to the right. <i>count</i>
+defaults to 1 (meaning just the column specified). At
+the moment, spans are not adjusted with this action.
+Optional switches are:
+
+<p>
+<dl>
+
+<dt><b>-holddimensions</b></dt></dt>
+<dd>
+Causes the table cols to be unaffected by the
+deletion (empty cols may appear). By default the
+dimensions are adjusted by <b>count</b>.
+
+<p></dd>
+
+<dt><b>-holdselection</b></dt></dt>
+<dd>
+Causes the selection to be maintained on the
+absolute cells values. Otherwise, the selection
+will be cleared..
+
+<p></dd>
+
+<dt><b>-holdtags</b></dt></dt>
+<dd>
+Causes the tags specified by the <i>tag</i> method to
+not move along with the data. Also prevents specific
+widths set by the <i>width</i> method from being
+adjusted. By default, these tags are properly
+adjusted.
+
+<p></dd>
+
+<dt><b>-holdwindows</b></dt></dt>
+<dd>
+Causes the embedded windows created with the <i>win</i><b>_</b>d<i>ow</i>
+method to not move along with the data. By
+default, these windows are properly adjusted.
+
+<p></dd>
+
+<dt><b>-keeptitles</b></dt></dt>
+<dd>
+Prevents title area cells from being changed.
+Otherwise they are treated just like regular
+cells and will move as specified.
+
+<p></dd>
+
+<dt><b>--</b> </dt></dt>
+<dd>    Signifies the end of the switches.
+
+<p></dd>
+</dl>
+<p>
+<i>pathName</i> <b>delete</b> <b>rows</b> ?<i>switches</i>? <i>index</i> ?<i>count</i>?
+Deletes <b>count</b> rows starting at (and including) row <b>index</b>.
+If <b>count</b> is negative, it deletes rows going up. Otherwise
+it deletes rows going down. The selection will be
+cleared. The switches are the same as those for column
+deletion.
+
+<p><p>
+<i>pathName</i> <b>get</b> <i>first</i> ?<i>last</i>?<br>
+
+Returns the value of the cells specified by the table indices
+<i>first</i> and (optionally) <i>last</i> in a list.
+
+<p><p>
+<i>pathName</i> <b>height</b> ?<i>row</i>? ?<i>value</i> <i>row</i> <i>value</i> <i>...</i>?
+If no <i>row</i> is specified, returns a list describing all rows for
+which a height has been set. If <b>row</b> is specified with no value,
+it prints out the height of that row in characters (positive
+number) or pixels (negative number). If one or more <i>row-value</i>
+pairs are specified, then it sets each row to be that height in
+lines (positive number) or pixels (negative number). If <i>value</i>
+is <i>default</i>, then the row uses the default height, specified by
+<b>-rowheight</b>.
+
+<p><p>
+<i>pathName</i> <b>hidden</b> ?<i>index</i>? ?<i>index</i> <i>...</i>?<br>
+
+When called without args, it returns all the <i>hidden</i> cells (those
+cells covered by a spanning cell). If one index is specified,
+it returns the spanning cell covering that index, if any. If
+multiple indices are specified, it returns 1 if all indices are
+hidden cells, 0 otherwise.
+
+<p><p>
+<i>pathName</i> <b>icursor</b> ?<i>arg</i>?<br>
+
+With no arguments, prints out the location of the insertion cursor
+in the active cell. With one argument, sets the cursor to
+that point in the string. 0 is before the first character, you
+can also use <b>insert</b> or <b>end</b> for the current insertion point or
+the end of the text. If there is no active cell, or the cell or
+table is disabled, this will return -1.
+
+<p><p>
+<i>pathName</i> <b>index</b> <i>index</i> ?<i>row|col</i>?<br>
+
+Returns the integer cell coordinate that corresponds to <i>index</i> in
+the form row,col. If <b>row</b> or <b>col</b> is specified, then only the row
+or column index is returned.
+
+<p><p>
+<i>pathName</i> <b>insert</b> <i>option</i> <i>arg</i> <i>arg</i><br>
+
+This command is used to into various things into a table. It
+has several forms, depending on the <i>option</i>:
+
+<p><p>
+<i>pathName</i> <b>insert</b> <b>active</b> <i>index</i> <i>value</i>
+The <i>value</i> is a text string which is inserted at the <i>index</i>
+position of the active cell. The cursor is then positioned
+after the new text. <i>index</i> can be a number, <b>insert</b>
+or <b>end</b>.
+
+<p><p>
+<i>pathName</i> <b>insert</b> <b>cols</b> ?<i>switches</i>? <i>index</i> ?<i>count</i>?
+Inserts <b>count</b> cols starting at col <b>index</b>. If <b>count</b> is
+negative, it inserts before the specified col. Otherwise
+it inserts after the specified col. The selection will
+be cleared. The switches are the same as those for column
+deletion.
+
+<p><p>
+<i>pathName</i> <b>insert</b> <b>rows</b> ?<i>switches</i>? <i>index</i> ?<i>count</i>?
+Inserts <b>count</b> rows starting at row <b>index</b>. If <b>count</b> is
+negative, it inserts before the specified row. Otherwise
+it inserts after the specified row. The selection will
+be cleared. The switches are the same as those for column
+deletion.
+
+<p><p>
+<i>pathName</i> <b>reread</b><br>
+
+Rereads the old contents of the cell back into the editing
+buffer. Useful for a key binding when &lt;Escape&gt; is pressed to
+abort the edit (a default binding).
+
+<p><p>
+<i>pathName</i> <b>scan</b> <i>option</i> <i>args</i><br>
+
+This command is used to implement scanning on tables. It has
+two forms, depending on <i>option</i>:
+
+<p><p>
+<i>pathName</i> <b>scan</b> <b>mark</b> <i>x</i> <i>y</i><br>
+
+Records <i>x</i> and <i>y</i> and the current view in the table window;
+used in conjunction with later <b>scan</b> <b>dragto</b> commands.
+Typically this command is associated with a mouse button
+press in the widget. It returns an empty string.
+
+<p><p>
+<i>pathName</i> <b>scan</b> <b>dragto</b> <i>x</i> <i>y</i>.<br>
+
+This command computes the difference between its <i>x</i> and <i>y</i>
+arguments and the <i>x</i> and <i>y</i> arguments to the last <b>scan</b> <b>mark</b>
+command for the widget. It then adjusts the view by 5
+times the difference in coordinates. This command is
+typically associated with mouse motion events in the widget,
+to produce the effect of dragging the list at high
+speed through the window. The return value is an empty
+string.
+
+<p><p>
+<i>pathName</i> <b>see</b> <i>index</i><br>
+
+Adjust the view in the table so that the cell given by <i>index</i> is
+positioned as the cell one off from top left (excluding title
+rows and columns) if the cell is not currently visible on the
+screen. The actual cell may be different to keep the screen
+full.
+
+<p><p>
+<i>pathName</i> <b>selection</b> <i>option</i> <i>arg</i><br>
+
+This command is used to adjust the selection within a table. It
+has several forms, depending on <i>option</i>:
+
+<p><p>
+<i>pathName</i> <b>selection</b> <b>anchor</b> <i>index</i><br>
+
+Sets the selection anchor to the cell given by <i>index</i>.
+The selection anchor is the end of the selection that is
+fixed while dragging out a selection with the mouse. The
+index <b>anchor</b> may be used to refer to the anchor cell.
+
+<p><p>
+<i>pathName</i> <b>selection</b> <b>clear</b> <i>first</i> ?<i>last</i>?
+If any of the cells between <i>first</i> and <i>last</i> (inclusive)
+are selected, they are deselected. The selection state
+is not changed for cells outside this range. <i>first</i> may
+be specified as <b>all</b> to remove the selection from all
+cells.
+
+<p><p>
+<i>pathName</i> <b>selection</b> <b>includes</b> <i>index</i>
+Returns 1 if the cell indicated by <i>index</i> is currently
+selected, 0 if it isn't.
+
+<p><p>
+<i>pathName</i> <b>selection</b> <b>set</b> <i>first</i> ?<i>last</i>?
+Selects all of the cells in the range between <i>first</i> and
+<i>last</i>, inclusive, without affecting the selection state of
+cells outside that range.
+
+<p><p>
+<i>pathName</i> <b>set</b> ?<i>row|col</i>? <i>index</i> ?<i>value</i>? ?<i>index</i> <i>value</i> <i>...</i>?
+Sets the specified index to the associated value. Table validation
+will not be triggered via this method. If <b>row</b> or <b>col</b> precedes
+the list of index/value pairs, then the value is assumed
+to be a Tcl list whose values will be split and set into the
+subsequent columns (if <b>row</b> is specified) or rows (for <b>col</b>). For
+example, <b>set</b> <b>row</b> <b>2,3</b> <b>{2,3</b> <b>2,4</b> <b>2,5}</b> will set 3 cells, from 2,3 to
+2,5. The setting of cells is silently bounded by the known table
+dimensions.
+
+<p><p>
+<i>pathName</i> <b>spans</b> ?<i>index</i>? ?<i>rows,cols</i> <i>index</i> <i>rows,cols</i> <i>...</i>?
+This command is used to manipulate row/col spans. When called
+with no arguments, all known spans are returned as a list of
+tuples of the form {index span}. When called with only the
+<i>index</i>, the span for that <i>index</i> only is returned, if any. Otherwise
+an even number of <i>index</i> <i>rows,cols</i> pairs are used to set
+spans. A span starts at the <i>index</i> and continues for the specified
+number of rows and cols. Negative spans are not supported.
+A span of 0,0 unsets any span on that cell. See EXAMPLES for
+more info.
+
+<p><p>
+<i>pathName</i> <b>tag</b> option ?<i>arg</i> <i>arg</i> <i>...</i>?<br>
+
+This command is used to manipulate tags. The exact behavior of
+the command depends on the <i>option</i> argument that follows the <b>tag</b>
+argument. <i>cget</i>, <i>cell</i>, and <i>row|col</i> complain about unknown tag
+names. The following forms of the command are currently supported:
+
+<p><p>
+<i>pathName</i> <b>tag</b> <b>cell</b> <i>tagName</i> <i>?index</i> <i>...?</i>
+With no arguments, prints out the list of cells that use
+the <i>tag</i>. Otherwise it sets the specified cells to use
+the named tag, replacing any tag that may have been set
+using this method before. If <i>tagName</i> is {}, the cells
+are reset to the default <i>tag</i>. Tags added during -*tagcommand
+evaluation do not register here. If <i>tagName</i> does
+not exist, it will be created with the default options.
+
+<p><p>
+<i>pathName</i> <b>tag</b> <b>cget</b> <i>tagName</i> <i>option</i>
+This command returns the current value of the option
+named <i>option</i> associated with the tag given by <i>tagName</i>.
+<i>Option</i> may have any of the values accepted by the <b>tag</b>
+<b>configure</b> widget command.
+
+<p><p>
+<i>pathName</i> <b>tag</b> <b>col</b> <i>tagName</i> <i>?col</i> <i>...?</i>
+With no arguments, prints out the list of cols that use
+the <i>tag</i>. Otherwise it sets the specified columns to use
+the named tag, replacing any tag that may have been set
+using this method before. If <i>tagName</i> is {}, the cols are
+reset to the default <i>tag</i>. Tags added during -coltagcommand
+evaluation do not register here. If <i>tagName</i> does
+not exist, it will be created with the default options.
+
+<p><p>
+<i>pathName</i> <b>tag</b> <b>configure</b> <i>tagName</i> ?<i>option</i>? ?<i>value</i>? ?<i>option</i> <i>value</i>
+<i>...</i>?<br>
+
+This command is similar to the <b>configure</b> widget command
+except that it modifies options associated with the tag
+given by <i>tagName</i> instead of modifying options for the
+overall table widget. If no <i>option</i> is specified, the
+command returns a list describing all of the available
+options for <i>tagName</i> (see <b>Tk_ConfigureInfo</b> for information
+on the format of this list). If <i>option</i> is specified with
+no <i>value</i>, then the command returns a list describing the
+one named option (this list will be identical to the corresponding
+sublist of the value returned if no <i>option</i> is
+specified). If one or more <i>option-value</i> pairs are specified,
+then the command modifies the given option(s) to
+have the given value(s) in <i>tagName</i>; in this case the command
+returns an empty string. See TAGS above for details
+on the options available for tags.
+
+<p><p>
+<i>pathName</i> <b>tag</b> <b>delete</b> <i>tagName</i><br>
+
+Deletes a tag. No error if the tag does not exist.
+
+<p><p>
+<i>pathName</i> <b>tag</b> <b>exists</b> <i>tagName</i><br>
+
+Returns 1 if the named tag exists, 0 otherwise.
+
+<p><p>
+<i>pathName</i> <b>tag</b> <b>includes</b> <i>tagName</i> <i>index</i>
+Returns 1 if the specified index has the named tag, 0
+otherwise.
+
+<p><p>
+<i>pathName</i> <b>tag</b> <b>lower</b> <i>tagName</i> ?<i>belowThis</i>?
+Lower the priority of the named tag. If <i>belowThis</i> is not
+specified, then the tag's priority is lowered to the bottom,
+otherwise it is lowered to one below <i>belowThis</i>.
+
+<p><p>
+<i>pathName</i> <b>tag</b> <b>names</b> ?<i>pattern</i>?<br>
+
+If no pattern is specified, shows the names of all
+defined tags. Otherwise the <i>pattern</i> is used as a glob
+pattern to show only tags matching that pattern. Tag
+names are returned in priority order (highest priority
+tag first).
+
+<p><p>
+<i>pathName</i> <b>tag</b> <b>raise</b> <i>tagName</i> ?<i>aboveThis</i>?
+Raise the priority of the named tag. If <i>aboveThis</i> is not
+specified, then the tag's priority is raised to the top,
+otherwise it is raised to one above <i>aboveThis</i>.
+
+<p><p>
+<i>pathName</i> <b>tag</b> <b>row</b> <i>tagName</i> ?<i>row</i> <i>...</i>?
+With no arguments, prints out the list of rows that use
+the <i>tag</i>. Otherwise it sets the specified rows to use the
+named tag, replacing any tag that may have been set using
+this method before. If <i>tagName</i> is {}, the rows are reset
+to use the default tag. Tags added during -rowtagcommand
+evaluation do not register here. If <i>tagName</i> does not
+exist, it will be created with the default options.
+
+<p><p>
+<i>pathName</i> <b>validate</b> <i>index</i><br>
+
+Explicitly validates the specified index based on the current
+<b>-validatecommand</b> and returns 0 or 1 based on whether the cell
+was validated.
+
+<p><p>
+<i>pathName</i> <b>width</b> ?<i>col</i>? ?<i>value</i> <i>col</i> <i>value</i> <i>...</i>?
+If no <i>col</i> is specified, returns a list describing all cols for
+which a width has been set. If <b>col</b> is specified with no value,
+it prints out the width of that col in characters (positive number)
+or pixels (negative number). If one or more <i>col-value</i>
+pairs are specified, then it sets each col to be that width in
+characters (positive number) or pixels (negative number). If
+<i>value</i> is <i>default</i>, then the col uses the default width, specified
+by <b>-colwidth</b>.
+
+<p><p>
+<i>pathName</i> <b>window</b> option ?<i>arg</i> <i>arg</i> <i>...</i>?<br>
+
+This command is used to manipulate embedded windows. The exact
+behavior of the command depends on the <i>option</i> argument that follows
+the <b>window</b> argument. The following forms of the command
+are currently supported:
+
+<p><p>
+<i>pathName</i> <b>window</b> <b>cget</b> <i>index</i> <i>option</i>
+This command returns the current value of the option
+named <i>option</i> associated with the window given by <i>index</i>.
+<i>Option</i> may have any of the values accepted by the <b>window</b>
+<b>configure</b> widget command.
+
+<p><p>
+<i>pathName</i> <b>window</b> <b>configure</b> <i>index</i> ?<i>option</i>? ?<i>value</i>? ?<i>option</i> <i>value</i>
+<i>...</i>?<br>
+
+This command is similar to the <b>configure</b> widget command
+except that it modifies options associated with the
+embedded window given by <i>index</i> instead of modifying
+options for the overall table widget. If no <i>option</i> is
+specified, the command returns a list describing all of
+the available options for <i>index</i> (see <b>Tk_ConfigureInfo</b> for
+information on the format of this list). If <i>option</i> is
+specified with no <i>value</i>, then the command returns a list
+describing the one named option (this list will be identical
+to the corresponding sublist of the value returned
+if no <i>option</i> is specified). If one or more <i>option-value</i>
+pairs are specified, then the command modifies the given
+option(s) to have the given value(s) in <i>index</i>; in this
+case the command returns an empty string. See EMBEDDED
+WINDOWS above for details on the options available for
+windows.
+
+<p><p>
+<i>pathName</i> <b>window</b> <b>delete</b> <i>index</i> ?<i>index</i> <i>...</i>?
+Deletes an embedded window from the table. The associated
+window will also be deleted.
+
+<p><p>
+<i>pathName</i> <b>window</b> <b>move</b> <i>indexFrom</i> <i>indexTo</i>
+Moves an embedded window from one cell to another. If a
+window already exists in the target cell, it will be
+deleted.
+
+<p><p>
+<i>pathName</i> <b>window</b> <b>names</b> ?<i>pattern</i>?<br>
+
+If no pattern is specified, shows the cells of all embedded
+windows. Otherwise the <i>pattern</i> is used as a glob
+pattern to show only cells matching that pattern.
+
+<p><p>
+<i>pathName</i> <b>xview</b> <i>args</i><br>
+
+This command is used to query and change the horizontal position
+of the information in the widget's window. It can take any of
+the following forms:
+
+<p><p>
+<i>pathName</i> <b>xview</b><br>
+
+Returns a list containing two elements. Each element is
+a real fraction between 0 and 1; together they describe
+the horizontal span that is visible in the window. For
+example, if the first element is .2 and the second element
+is .6, 20% of the table's text is off-screen to the
+left, the middle 40% is visible in the window, and 40% of
+the text is off-screen to the right. These are the same
+values passed to scrollbars via the <b>-xscrollcommand</b>
+option.
+
+<p><p>
+<i>pathName</i> <b>xview</b> <i>index</i><br>
+
+Adjusts the view in the window so that the column given
+by <i>index</i> is displayed at the left edge of the window.
+
+<p><p>
+<i>pathName</i> <b>xview</b> <b>moveto</b> <i>fraction</i><br>
+
+Adjusts the view in the window so that <i>fraction</i> of the
+total width of the table text is off-screen to the left.
+<i>fraction</i> must be a fraction between 0 and 1.
+
+<p><p>
+<i>pathName</i> <b>xview</b> <b>scroll</b> <i>number</i> <i>what</i>
+This command shifts the view in the window left or right
+according to <i>number</i> and <i>what</i>. <i>Number</i> must be an integer.
+<i>What</i> must be either <b>units</b> or <b>pages</b> or an abbreviation of
+one of these. If <i>what</i> is <b>units</b>, the view adjusts left or
+right by <i>number</i> cells on the display; if it is <b>pages</b> then
+the view adjusts by <i>number</i> screenfuls. If <i>number</i> is negative
+then cells farther to the left become visible; if
+it is positive then cells farther to the right become
+visible.
+
+<p><p>
+<i>pathName</i> <b>yview</b> <i>?args</i>?<br>
+
+This command is used to query and change the vertical position
+of the text in the widget's window. It can take any of the following
+forms:
+
+<p><p>
+<i>pathName</i> <b>yview</b><br>
+
+Returns a list containing two elements, both of which are
+real fractions between 0 and 1. The first element gives
+the position of the table element at the top of the window,
+relative to the table as a whole (0.5 means it is
+halfway through the table, for example). The second element
+gives the position of the table element just after
+the last one in the window, relative to the table as a
+whole. These are the same values passed to scrollbars
+via the <b>-yscrollcommand</b> option.
+
+<p><p>
+<i>pathName</i> <b>yview</b> <i>index</i><br>
+
+Adjusts the view in the window so that the row given by
+<i>index</i> is displayed at the top of the window.
+
+<p><p>
+<i>pathName</i> <b>yview</b> <b>moveto</b> <i>fraction</i><br>
+
+Adjusts the view in the window so that the element given
+by <i>fraction</i> appears at the top of the window. <i>Fraction</i>
+is a fraction between 0 and 1; 0 indicates the first
+element in the table, 0.33 indicates the element
+one-third the way through the table, and so on.
+
+<p><p>
+<i>pathName</i> <b>yview</b> <b>scroll</b> <i>number</i> <i>what</i>
+This command adjusts the view in the window up or down
+according to <i>number</i> and <i>what</i>. <i>Number</i> must be an integer.
+<i>What</i> must be either <b>units</b> or <b>pages</b>. If <i>what</i> is <b>units</b>,
+the view adjusts up or down by <i>number</i> cells; if it is
+<b>pages</b> then the view adjusts by <i>number</i> screenfuls. If
+<i>number</i> is negative then earlier elements become visible;
+if it is positive then later elements become visible.
+
+<p>
+<h2><a name='sect13' href='#toc13'><b>Default</b> <b>Bindings</b></a></h2>
+
+<p>
+The initialization creates class bindings that give the following
+default behaviour:
+
+<p>
+<dl>
+
+<dt>[1] </dt></dt>
+<dd>   Clicking Button-1 in a cell activates that cell. Clicking into
+an already active cell moves the insertion cursor to the character
+nearest the mouse.
+
+<p></dd>
+
+<dt>[2] </dt></dt>
+<dd>   Moving the mouse while Button-1 is pressed will stroke out a
+selection area. Exiting while Button-1 is pressed causing scanning
+to occur on the table along with selection.
+
+<p></dd>
+
+<dt>[3] </dt></dt>
+<dd>   Moving the mouse while Button-2 is pressed causes scanning to
+occur without any selection.
+
+<p></dd>
+
+<dt>[4] </dt></dt>
+<dd>   Home moves the table to have the origin in view.
+
+<p></dd>
+
+<dt>[5] </dt></dt>
+<dd>   End moves the table to have the <b>end</b> cell in view.
+
+<p></dd>
+
+<dt>[6] </dt></dt>
+<dd>   Control-Home moves the table to the origin and activates that
+cell.
+
+<p></dd>
+
+<dt>[7] </dt></dt>
+<dd>   Control-End moves the table to the end and activates that cell.
+
+<p></dd>
+
+<dt>[8] </dt></dt>
+<dd>   Shift-Control-Home extends the selection to the origin.
+
+<p></dd>
+
+<dt>[9] </dt></dt>
+<dd>   Shift-Control-End extends the selection to the end.
+
+<p></dd>
+
+<dt>[10] </dt></dt>
+<dd>The left, right, up and down arrows move the active cell.
+
+<p></dd>
+
+<dt>[11] </dt></dt>
+<dd>Shift-&lt;arrow&gt; extends the selection in that direction.
+
+<p></dd>
+
+<dt>[12] </dt></dt>
+<dd>Control-leftarrow and Control-rightarrow move the insertion cursor
+within the cell.
+
+<p></dd>
+
+<dt>[13] </dt></dt>
+<dd>Control-slash selects all the cells.
+
+<p></dd>
+
+<dt>[14] </dt></dt>
+<dd>Control-backslash clears selection from all the cells.
+
+<p></dd>
+</dl>
+<p>
+[15] Backspace deletes the character before the insertion cursor in
+the active cell.
+
+<p><p>
+[16] Delete deletes the character after the insertion cursor in the
+active cell.
+
+<p><p>
+[17] Escape rereads the value of the active cell from the specified
+data source, discarding any edits that have may been performed
+on the cell.
+
+<p><p>
+[18] Control-a moves the insertion cursor to the beginning of the
+active cell.
+
+<p><p>
+[19] Control-e moves the insertion cursor to the end of the active
+cell.
+
+<p>
+<dl>
+
+<dt>[20] </dt></dt>
+<dd>Control-minus and Control-equals decrease and increase the width
+of the column with the active cell in it.
+
+<p></dd>
+
+<dt>[21] </dt></dt>
+<dd>Moving the mouse while Button-3 (the right button on Windows) is
+pressed while you are over a border will cause interactive
+resizing of that row and/or column to occur, based on the value
+of <b>-resizeborders</b>.
+
+<p></dd>
+</dl>
+<p>
+Some bindings may have slightly different behavior dependent on the
+<b>-selectionmode</b> of the widget.
+
+<p><p>
+If the widget is disabled using the <b>-state</b> option, then its view can
+still be adjusted and cells can still be selected, but no insertion
+cursor will be displayed and no cell modifications will take place.
+
+<p><p>
+The behavior of tables can be changed by defining new bindings for
+individual widgets or by redefining the class bindings. The default
+bindings are either compiled in or read from a file expected to correspond
+to: [lindex $tcl_pkgPath 0]/Tktable&lt;version&gt;/tkTable.tcl".
+
+<p>
+<h2><a name='sect14' href='#toc14'><b>Performance</b> <b>Issues</b></a></h2>
+
+<p>
+The number of rows and columns or a table widget should not significantly
+affect the speed of redraw. Recalculation and redraw of table
+parameters and cells is restricted as much as possible.
+
+<p><p>
+The display cell with the insert cursor is redrawn each time the cursor
+blinks, which causes a steady stream of graphics traffic. Set the
+<b>-insertofftime</b> option to 0 avoid this. The use of a <b>-command</b> with the
+table without a cache can cause significant slow-down, as the command
+is called once for each request of a cell value.
+
+<p>
+<h2><a name='sect15' href='#toc15'><b>Examples</b></a></h2>
+
+<p>
+Set the topleft title area to be one spanning cell. This overestimates
+both row and column span by one, but the command does all the constraining
+for us.<br>
+
+$table span [$table cget -roworigin],[$table cget -colorigin] [$table cget -titlerows],[$table cget -titlecols]
+Force a table window refresh (useful for the slight chance that a bug
+in the table is not causing proper refresh):
+$table configure -padx [$table cget -padx]
+
+<p>
+<h2><a name='sect16' href='#toc16'><b>Keywords</b></a></h2>
+
+<p>
+table, widget, extension
+<p>
+
+<hr><p>
+<a name='toc'><b>Table of Contents</b></a><p>
+<ul>
+<li><a name='toc0' href='#sect0'>Name</a></li>
+<li><a name='toc1' href='#sect1'>Synopsis</a></li>
+<li><a name='toc2' href='#sect2'>Standard Options</a></li>
+<li><a name='toc3' href='#sect3'>Widget-specific Options</a></li>
+<li><a name='toc4' href='#sect4'>Description</a></li>
+<li><a name='toc5' href='#sect5'>Initialization</a></li>
+<li><a name='toc6' href='#sect6'>Indices</a></li>
+<li><a name='toc7' href='#sect7'>Tags</a></li>
+<li><a name='toc8' href='#sect8'>Embedded Windows</a></li>
+<li><a name='toc9' href='#sect9'>the Selection</a></li>
+<li><a name='toc10' href='#sect10'>Row/Col Spanning</a></li>
+<li><a name='toc11' href='#sect11'>Command Substitution</a></li>
+<li><a name='toc12' href='#sect12'>Widget Command</a></li>
+<li><a name='toc13' href='#sect13'>Default Bindings</a></li>
+<li><a name='toc14' href='#sect14'>Performance Issues</a></li>
+<li><a name='toc15' href='#sect15'>Examples</a></li>
+<li><a name='toc16' href='#sect16'>Keywords</a></li>
+</ul>
+</body>
+</html>
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/Tcl/lib/tk8.6/images/logoMed.gif
===================================================================
Cannot display: file marked as a binary type.
svn:mime-type = application/octet-stream

Property changes on: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/Tcl/lib/tk8.6/images/logoMed.gif
___________________________________________________________________
Added: svn:mime-type
   + application/octet-stream

Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/Tcl/lib/tk8.6/images/README
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/Tcl/lib/tk8.6/images/README	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/Tcl/lib/tk8.6/images/README	(revision 3761)
@@ -0,0 +1,7 @@
+README - images directory
+
+This directory includes images for the Tcl Logo and the Tcl Powered
+Logo.  Please feel free to use the Tcl Powered Logo on any of your
+products that employ the use of Tcl or Tk.  The Tcl logo may also be
+used to promote Tcl in your product documentation, web site or other
+places you so desire.
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/Tcl/lib/tk8.6/images/pwrdLogo75.gif
===================================================================
Cannot display: file marked as a binary type.
svn:mime-type = application/octet-stream

Property changes on: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/Tcl/lib/tk8.6/images/pwrdLogo75.gif
___________________________________________________________________
Added: svn:mime-type
   + application/octet-stream

Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/Tcl/lib/tk8.6/images/logo64.gif
===================================================================
Cannot display: file marked as a binary type.
svn:mime-type = application/octet-stream

Property changes on: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/Tcl/lib/tk8.6/images/logo64.gif
___________________________________________________________________
Added: svn:mime-type
   + application/octet-stream

Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/Tcl/lib/tk8.6/images/pwrdLogo175.gif
===================================================================
Cannot display: file marked as a binary type.
svn:mime-type = application/octet-stream

Property changes on: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/Tcl/lib/tk8.6/images/pwrdLogo175.gif
___________________________________________________________________
Added: svn:mime-type
   + application/octet-stream

Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/Tcl/lib/tk8.6/images/tai-ku.gif
===================================================================
Cannot display: file marked as a binary type.
svn:mime-type = application/octet-stream

Property changes on: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/Tcl/lib/tk8.6/images/tai-ku.gif
___________________________________________________________________
Added: svn:mime-type
   + application/octet-stream

Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/Tcl/lib/tk8.6/images/logoLarge.gif
===================================================================
Cannot display: file marked as a binary type.
svn:mime-type = application/octet-stream

Property changes on: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/Tcl/lib/tk8.6/images/logoLarge.gif
___________________________________________________________________
Added: svn:mime-type
   + application/octet-stream

Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/Tcl/lib/tk8.6/images/pwrdLogo100.gif
===================================================================
Cannot display: file marked as a binary type.
svn:mime-type = application/octet-stream

Property changes on: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/Tcl/lib/tk8.6/images/pwrdLogo100.gif
___________________________________________________________________
Added: svn:mime-type
   + application/octet-stream

Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/Tcl/lib/tk8.6/images/pwrdLogo.eps
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/Tcl/lib/tk8.6/images/pwrdLogo.eps	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/Tcl/lib/tk8.6/images/pwrdLogo.eps	(revision 3761)
@@ -0,0 +1,1897 @@
+%!PS-Adobe-3.0 EPSF-3.0
+%%Creator: Adobe Illustrator(TM) 5.5
+%%For: (Bud Northern) (Mark Anderson Design)
+%%Title: (TCL PWRD LOGO.ILLUS)
+%%CreationDate: (8/1/96) (4:59 PM)
+%%BoundingBox: 242 302 377 513
+%%HiResBoundingBox: 242.0523 302.5199 376.3322 512.5323
+%%DocumentProcessColors: Cyan Magenta Yellow
+%%DocumentSuppliedResources: procset Adobe_level2_AI5 1.0 0
+%%+ procset Adobe_IllustratorA_AI5 1.0 0
+%AI5_FileFormat 1.2
+%AI3_ColorUsage: Color
+%%CMYKCustomColor: 0 0.45 1 0 (Orange)
+%%+ 0 0.25 1 0 (Orange Yellow)
+%%+ 0 0.79 0.91 0 (PANTONE Warm Red CV)
+%%+ 0 0.79 0.91 0 (TCL RED)
+%AI3_TemplateBox: 306 396 306 396
+%AI3_TileBox: 12 12 600 780
+%AI3_DocumentPreview: Macintosh_ColorPic
+%AI5_ArtSize: 612 792
+%AI5_RulerUnits: 0
+%AI5_ArtFlags: 1 0 0 1 0 0 1 1 0
+%AI5_TargetResolution: 800
+%AI5_NumLayers: 1
+%AI5_OpenToView: 102 564 2 938 673 18 1 1 2 40
+%AI5_OpenViewLayers: 7
+%%EndComments
+%%BeginProlog
+%%BeginResource: procset Adobe_level2_AI5 1.0 0
+%%Title: (Adobe Illustrator (R) Version 5.0 Level 2 Emulation)
+%%Version: 1.0 
+%%CreationDate: (04/10/93) ()
+%%Copyright: ((C) 1987-1993 Adobe Systems Incorporated All Rights Reserved)
+userdict /Adobe_level2_AI5 21 dict dup begin
+	put
+	/packedarray where not
+	{
+		userdict begin
+		/packedarray
+		{
+			array astore readonly
+		} bind def
+		/setpacking /pop load def
+		/currentpacking false def
+	 end
+		0
+	} if
+	pop
+	userdict /defaultpacking currentpacking put true setpacking
+	/initialize
+	{
+		Adobe_level2_AI5 begin
+	} bind def
+	/terminate
+	{
+		currentdict Adobe_level2_AI5 eq
+		{
+		 end
+		} if
+	} bind def
+	mark
+	/setcustomcolor where not
+	{
+		/findcmykcustomcolor
+		{
+			5 packedarray
+		} bind def
+		/setcustomcolor
+		{
+			exch aload pop pop
+			4
+			{
+				4 index mul 4 1 roll
+			} repeat
+			5 -1 roll pop
+			setcmykcolor
+		}
+		def
+	} if
+	
+	/gt38? mark {version cvx exec} stopped {cleartomark true} {38 gt exch pop} ifelse def
+	userdict /deviceDPI 72 0 matrix defaultmatrix dtransform dup mul exch dup mul add sqrt put
+	userdict /level2?
+	systemdict /languagelevel known dup
+	{
+		pop systemdict /languagelevel get 2 ge
+	} if
+	put
+	level2? not
+	{
+		/setcmykcolor where not
+		{
+			/setcmykcolor
+			{
+				exch .11 mul add exch .59 mul add exch .3 mul add
+				1 exch sub setgray
+			} def
+		} if
+		/currentcmykcolor where not
+		{
+			/currentcmykcolor
+			{
+				0 0 0 1 currentgray sub
+			} def
+		} if
+		/setoverprint where not
+		{
+			/setoverprint /pop load def
+		} if
+		/selectfont where not
+		{
+			/selectfont
+			{
+				exch findfont exch
+				dup type /arraytype eq
+				{
+					makefont
+				}
+				{
+					scalefont
+				} ifelse
+				setfont
+			} bind def
+		} if
+		/cshow where not
+		{
+			/cshow
+			{
+				[
+				0 0 5 -1 roll aload pop
+				] cvx bind forall
+			} bind def
+		} if
+	} if
+	cleartomark
+	/anyColor?
+	{
+		add add add 0 ne
+	} bind def
+	/testColor
+	{
+		gsave
+		setcmykcolor currentcmykcolor
+		grestore
+	} bind def
+	/testCMYKColorThrough
+	{
+		testColor anyColor?
+	} bind def
+	userdict /composite?
+	level2?
+	{
+		gsave 1 1 1 1 setcmykcolor currentcmykcolor grestore
+		add add add 4 eq
+	}
+	{
+		1 0 0 0 testCMYKColorThrough
+		0 1 0 0 testCMYKColorThrough
+		0 0 1 0 testCMYKColorThrough
+		0 0 0 1 testCMYKColorThrough
+		and and and
+	} ifelse
+	put
+	composite? not
+	{
+		userdict begin
+		gsave
+		/cyan? 1 0 0 0 testCMYKColorThrough def
+		/magenta? 0 1 0 0 testCMYKColorThrough def
+		/yellow? 0 0 1 0 testCMYKColorThrough def
+		/black? 0 0 0 1 testCMYKColorThrough def
+		grestore
+		/isCMYKSep? cyan? magenta? yellow? black? or or or def
+		/customColor? isCMYKSep? not def
+	 end
+	} if
+ end defaultpacking setpacking
+%%EndResource
+%%BeginResource: procset Adobe_IllustratorA_AI5 1.1 0
+%%Title: (Adobe Illustrator (R) Version 5.0 Abbreviated Prolog)
+%%Version: 1.1 
+%%CreationDate: (3/7/1994) ()
+%%Copyright: ((C) 1987-1994 Adobe Systems Incorporated All Rights Reserved)
+currentpacking true setpacking
+userdict /Adobe_IllustratorA_AI5_vars 70 dict dup begin
+put
+/_lp /none def
+/_pf
+{
+} def
+/_ps
+{
+} def
+/_psf
+{
+} def
+/_pss
+{
+} def
+/_pjsf
+{
+} def
+/_pjss
+{
+} def
+/_pola 0 def
+/_doClip 0 def
+/cf currentflat def
+/_tm matrix def
+/_renderStart
+[
+/e0 /r0 /a0 /o0 /e1 /r1 /a1 /i0
+] def
+/_renderEnd
+[
+null null null null /i1 /i1 /i1 /i1
+] def
+/_render -1 def
+/_rise 0 def
+/_ax 0 def
+/_ay 0 def
+/_cx 0 def
+/_cy 0 def
+/_leading
+[
+0 0
+] def
+/_ctm matrix def
+/_mtx matrix def
+/_sp 16#020 def
+/_hyphen (-) def
+/_fScl 0 def
+/_cnt 0 def
+/_hs 1 def
+/_nativeEncoding 0 def
+/_useNativeEncoding 0 def
+/_tempEncode 0 def
+/_pntr 0 def
+/_tDict 2 dict def
+/_wv 0 def
+/Tx
+{
+} def
+/Tj
+{
+} def
+/CRender
+{
+} def
+/_AI3_savepage
+{
+} def
+/_gf null def
+/_cf 4 array def
+/_if null def
+/_of false def
+/_fc
+{
+} def
+/_gs null def
+/_cs 4 array def
+/_is null def
+/_os false def
+/_sc
+{
+} def
+/discardSave null def
+/buffer 256 string def
+/beginString null def
+/endString null def
+/endStringLength null def
+/layerCnt 1 def
+/layerCount 1 def
+/perCent (%) 0 get def
+/perCentSeen? false def
+/newBuff null def
+/newBuffButFirst null def
+/newBuffLast null def
+/clipForward? false def
+end
+userdict /Adobe_IllustratorA_AI5 74 dict dup begin
+put
+/initialize
+{
+	Adobe_IllustratorA_AI5 dup begin
+	Adobe_IllustratorA_AI5_vars begin
+	discardDict
+	{
+		bind pop pop
+	} forall
+	dup /nc get begin
+	{
+		dup xcheck 1 index type /operatortype ne and
+		{
+			bind
+		} if
+		pop pop
+	} forall
+ end
+	newpath
+} def
+/terminate
+{
+ end
+ end
+} def
+/_
+null def
+/ddef
+{
+	Adobe_IllustratorA_AI5_vars 3 1 roll put
+} def
+/xput
+{
+	dup load dup length exch maxlength eq
+	{
+		dup dup load dup
+		length 2 mul dict copy def
+	} if
+	load begin
+	def
+ end
+} def
+/npop
+{
+	{
+		pop
+	} repeat
+} def
+/sw
+{
+	dup length exch stringwidth
+	exch 5 -1 roll 3 index mul add
+	4 1 roll 3 1 roll mul add
+} def
+/swj
+{
+	dup 4 1 roll
+	dup length exch stringwidth
+	exch 5 -1 roll 3 index mul add
+	4 1 roll 3 1 roll mul add
+	6 2 roll /_cnt 0 ddef
+	{
+		1 index eq
+		{
+			/_cnt _cnt 1 add ddef
+		} if
+	} forall
+	pop
+	exch _cnt mul exch _cnt mul 2 index add 4 1 roll 2 index add 4 1 roll pop pop
+} def
+/ss
+{
+	4 1 roll
+	{
+		2 npop
+		(0) exch 2 copy 0 exch put pop
+		gsave
+		false charpath currentpoint
+		4 index setmatrix
+		stroke
+		grestore
+		moveto
+		2 copy rmoveto
+	} exch cshow
+	3 npop
+} def
+/jss
+{
+	4 1 roll
+	{
+		2 npop
+		(0) exch 2 copy 0 exch put
+		gsave
+		_sp eq
+		{
+			exch 6 index 6 index 6 index 5 -1 roll widthshow
+			currentpoint
+		}
+		{
+			false charpath currentpoint
+			4 index setmatrix stroke
+		} ifelse
+		grestore
+		moveto
+		2 copy rmoveto
+	} exch cshow
+	6 npop
+} def
+/sp
+{
+	{
+		2 npop (0) exch
+		2 copy 0 exch put pop
+		false charpath
+		2 copy rmoveto
+	} exch cshow
+	2 npop
+} def
+/jsp
+{
+	{
+		2 npop
+		(0) exch 2 copy 0 exch put
+		_sp eq
+		{
+			exch 5 index 5 index 5 index 5 -1 roll widthshow
+		}
+		{
+			false charpath
+		} ifelse
+		2 copy rmoveto
+	} exch cshow
+	5 npop
+} def
+/pl
+{
+	transform
+	0.25 sub round 0.25 add exch
+	0.25 sub round 0.25 add exch
+	itransform
+} def
+/setstrokeadjust where
+{
+	pop true setstrokeadjust
+	/c
+	{
+		curveto
+	} def
+	/C
+	/c load def
+	/v
+	{
+		currentpoint 6 2 roll curveto
+	} def
+	/V
+	/v load def
+	/y
+	{
+		2 copy curveto
+	} def
+	/Y
+	/y load def
+	/l
+	{
+		lineto
+	} def
+	/L
+	/l load def
+	/m
+	{
+		moveto
+	} def
+}
+{
+	/c
+	{
+		pl curveto
+	} def
+	/C
+	/c load def
+	/v
+	{
+		currentpoint 6 2 roll pl curveto
+	} def
+	/V
+	/v load def
+	/y
+	{
+		pl 2 copy curveto
+	} def
+	/Y
+	/y load def
+	/l
+	{
+		pl lineto
+	} def
+	/L
+	/l load def
+	/m
+	{
+		pl moveto
+	} def
+} ifelse
+/d
+{
+	setdash
+} def
+/cf
+{
+} def
+/i
+{
+	dup 0 eq
+	{
+		pop cf
+	} if
+	setflat
+} def
+/j
+{
+	setlinejoin
+} def
+/J
+{
+	setlinecap
+} def
+/M
+{
+	setmiterlimit
+} def
+/w
+{
+	setlinewidth
+} def
+/H
+{
+} def
+/h
+{
+	closepath
+} def
+/N
+{
+	_pola 0 eq
+	{
+		_doClip 1 eq
+		{
+			clip /_doClip 0 ddef
+		} if
+		newpath
+	}
+	{
+		/CRender
+		{
+			N
+		} ddef
+	} ifelse
+} def
+/n
+{
+	N
+} def
+/F
+{
+	_pola 0 eq
+	{
+		_doClip 1 eq
+		{
+			gsave _pf grestore clip newpath /_lp /none ddef _fc
+			/_doClip 0 ddef
+		}
+		{
+			_pf
+		} ifelse
+	}
+	{
+		/CRender
+		{
+			F
+		} ddef
+	} ifelse
+} def
+/f
+{
+	closepath
+	F
+} def
+/S
+{
+	_pola 0 eq
+	{
+		_doClip 1 eq
+		{
+			gsave _ps grestore clip newpath /_lp /none ddef _sc
+			/_doClip 0 ddef
+		}
+		{
+			_ps
+		} ifelse
+	}
+	{
+		/CRender
+		{
+			S
+		} ddef
+	} ifelse
+} def
+/s
+{
+	closepath
+	S
+} def
+/B
+{
+	_pola 0 eq
+	{
+		_doClip 1 eq
+		gsave F grestore
+		{
+			gsave S grestore clip newpath /_lp /none ddef _sc
+			/_doClip 0 ddef
+		}
+		{
+			S
+		} ifelse
+	}
+	{
+		/CRender
+		{
+			B
+		} ddef
+	} ifelse
+} def
+/b
+{
+	closepath
+	B
+} def
+/W
+{
+	/_doClip 1 ddef
+} def
+/*
+{
+	count 0 ne
+	{
+		dup type /stringtype eq
+		{
+			pop
+		} if
+	} if
+	newpath
+} def
+/u
+{
+} def
+/U
+{
+} def
+/q
+{
+	_pola 0 eq
+	{
+		gsave
+	} if
+} def
+/Q
+{
+	_pola 0 eq
+	{
+		grestore
+	} if
+} def
+/*u
+{
+	_pola 1 add /_pola exch ddef
+} def
+/*U
+{
+	_pola 1 sub /_pola exch ddef
+	_pola 0 eq
+	{
+		CRender
+	} if
+} def
+/D
+{
+	pop
+} def
+/*w
+{
+} def
+/*W
+{
+} def
+/`
+{
+	/_i save ddef
+	clipForward?
+	{
+		nulldevice
+	} if
+	6 1 roll 4 npop
+	concat pop
+	userdict begin
+	/showpage
+	{
+	} def
+	0 setgray
+	0 setlinecap
+	1 setlinewidth
+	0 setlinejoin
+	10 setmiterlimit
+	[] 0 setdash
+	/setstrokeadjust where {pop false setstrokeadjust} if
+	newpath
+	0 setgray
+	false setoverprint
+} def
+/~
+{
+ end
+	_i restore
+} def
+/O
+{
+	0 ne
+	/_of exch ddef
+	/_lp /none ddef
+} def
+/R
+{
+	0 ne
+	/_os exch ddef
+	/_lp /none ddef
+} def
+/g
+{
+	/_gf exch ddef
+	/_fc
+	{
+		_lp /fill ne
+		{
+			_of setoverprint
+			_gf setgray
+			/_lp /fill ddef
+		} if
+	} ddef
+	/_pf
+	{
+		_fc
+		fill
+	} ddef
+	/_psf
+	{
+		_fc
+		ashow
+	} ddef
+	/_pjsf
+	{
+		_fc
+		awidthshow
+	} ddef
+	/_lp /none ddef
+} def
+/G
+{
+	/_gs exch ddef
+	/_sc
+	{
+		_lp /stroke ne
+		{
+			_os setoverprint
+			_gs setgray
+			/_lp /stroke ddef
+		} if
+	} ddef
+	/_ps
+	{
+		_sc
+		stroke
+	} ddef
+	/_pss
+	{
+		_sc
+		ss
+	} ddef
+	/_pjss
+	{
+		_sc
+		jss
+	} ddef
+	/_lp /none ddef
+} def
+/k
+{
+	_cf astore pop
+	/_fc
+	{
+		_lp /fill ne
+		{
+			_of setoverprint
+			_cf aload pop setcmykcolor
+			/_lp /fill ddef
+		} if
+	} ddef
+	/_pf
+	{
+		_fc
+		fill
+	} ddef
+	/_psf
+	{
+		_fc
+		ashow
+	} ddef
+	/_pjsf
+	{
+		_fc
+		awidthshow
+	} ddef
+	/_lp /none ddef
+} def
+/K
+{
+	_cs astore pop
+	/_sc
+	{
+		_lp /stroke ne
+		{
+			_os setoverprint
+			_cs aload pop setcmykcolor
+			/_lp /stroke ddef
+		} if
+	} ddef
+	/_ps
+	{
+		_sc
+		stroke
+	} ddef
+	/_pss
+	{
+		_sc
+		ss
+	} ddef
+	/_pjss
+	{
+		_sc
+		jss
+	} ddef
+	/_lp /none ddef
+} def
+/x
+{
+	/_gf exch ddef
+	findcmykcustomcolor
+	/_if exch ddef
+	/_fc
+	{
+		_lp /fill ne
+		{
+			_of setoverprint
+			_if _gf 1 exch sub setcustomcolor
+			/_lp /fill ddef
+		} if
+	} ddef
+	/_pf
+	{
+		_fc
+		fill
+	} ddef
+	/_psf
+	{
+		_fc
+		ashow
+	} ddef
+	/_pjsf
+	{
+		_fc
+		awidthshow
+	} ddef
+	/_lp /none ddef
+} def
+/X
+{
+	/_gs exch ddef
+	findcmykcustomcolor
+	/_is exch ddef
+	/_sc
+	{
+		_lp /stroke ne
+		{
+			_os setoverprint
+			_is _gs 1 exch sub setcustomcolor
+			/_lp /stroke ddef
+		} if
+	} ddef
+	/_ps
+	{
+		_sc
+		stroke
+	} ddef
+	/_pss
+	{
+		_sc
+		ss
+	} ddef
+	/_pjss
+	{
+		_sc
+		jss
+	} ddef
+	/_lp /none ddef
+} def
+/A
+{
+	pop
+} def
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+{
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+} def
+/discard
+{
+	save /discardSave exch store
+	discardDict begin
+	/endString exch store
+	gt38?
+	{
+		2 add
+	} if
+	load
+	stopped
+	pop
+ end
+	discardSave restore
+} bind def
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+put
+/pre38Initialize
+{
+	/endStringLength endString length store
+	/newBuff buffer 0 endStringLength getinterval store
+	/newBuffButFirst newBuff 1 endStringLength 1 sub getinterval store
+	/newBuffLast newBuff endStringLength 1 sub 1 getinterval store
+} def
+/shiftBuffer
+{
+	newBuff 0 newBuffButFirst putinterval
+	newBuffLast 0
+	currentfile read not
+	{
+	stop
+	} if
+	put
+} def
+0
+{
+	pre38Initialize
+	mark
+	currentfile newBuff readstring exch pop
+	{
+		{
+			newBuff endString eq
+			{
+				cleartomark stop
+			} if
+			shiftBuffer
+		} loop
+	}
+	{
+	stop
+	} ifelse
+} def
+1
+{
+	pre38Initialize
+	/beginString exch store
+	mark
+	currentfile newBuff readstring exch pop
+	{
+		{
+			newBuff beginString eq
+			{
+				/layerCount dup load 1 add store
+			}
+			{
+				newBuff endString eq
+				{
+					/layerCount dup load 1 sub store
+					layerCount 0 eq
+					{
+						cleartomark stop
+					} if
+				} if
+			} ifelse
+			shiftBuffer
+		} loop
+	}
+	{
+	stop
+	} ifelse
+} def
+2
+{
+	mark
+	{
+		currentfile buffer readline not
+		{
+		stop
+		} if
+		endString eq
+		{
+			cleartomark stop
+		} if
+	} loop
+} def
+3
+{
+	/beginString exch store
+	/layerCnt 1 store
+	mark
+	{
+		currentfile buffer readline not
+		{
+		stop
+		} if
+		dup beginString eq
+		{
+			pop /layerCnt dup load 1 add store
+		}
+		{
+			endString eq
+			{
+				layerCnt 1 eq
+				{
+					cleartomark stop
+				}
+				{
+					/layerCnt dup load 1 sub store
+				} ifelse
+			} if
+		} ifelse
+	} loop
+} def
+end
+userdict /clipRenderOff 15 dict dup begin
+put
+{
+	/n /N /s /S /f /F /b /B
+}
+{
+	{
+		_doClip 1 eq
+		{
+			/_doClip 0 ddef clip
+		} if
+		newpath
+	} def
+} forall
+/Tr /pop load def
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+end
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+{
+	4 npop
+	6 1 roll
+	pop
+	4 1 roll
+	pop pop pop
+	0 eq
+	{
+		0 eq
+		{
+			(%AI5_BeginLayer) 1 (%AI5_EndLayer--) discard
+		}
+		{
+			/clipForward? true def
+			
+			/Tx /pop load def
+			/Tj /pop load def
+			currentdict end clipRenderOff begin begin
+		} ifelse
+	}
+	{
+		0 eq
+		{
+			save /discardSave exch store
+		} if
+	} ifelse
+} bind def
+/LB
+{
+	discardSave dup null ne
+	{
+		restore
+	}
+	{
+		pop
+		clipForward?
+		{
+			currentdict
+		 end
+		 end
+		 begin
+			
+			/clipForward? false ddef
+		} if
+	} ifelse
+} bind def
+/Pb
+{
+	pop pop
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+} bind def
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+} bind def
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+{
+	72 exch div
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+	dup 1 lt
+	{
+		pop 1
+	} if
+	setflat
+} def
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+} def
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+} bind def
+/setcmykcolor
+{
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+} bind def
+/setcustomcolor
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+} bind def
+currentdict readonly pop
+end
+currentdict readonly pop
+end
+setpacking
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+%AI5_EndLayer--
+%%PageTrailer
+gsave annotatepage grestore showpage
+%%Trailer
+Adobe_IllustratorA_AI5 /terminate get exec
+Adobe_level2_AI5 /terminate get exec
+%%EOF
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/Tcl/lib/tk8.6/images/pwrdLogo200.gif
===================================================================
Cannot display: file marked as a binary type.
svn:mime-type = application/octet-stream

Property changes on: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/Tcl/lib/tk8.6/images/pwrdLogo200.gif
___________________________________________________________________
Added: svn:mime-type
   + application/octet-stream

Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/Tcl/lib/tk8.6/images/logo100.gif
===================================================================
Cannot display: file marked as a binary type.
svn:mime-type = application/octet-stream

Property changes on: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/Tcl/lib/tk8.6/images/logo100.gif
___________________________________________________________________
Added: svn:mime-type
   + application/octet-stream

Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/Tcl/lib/tk8.6/images/logo.eps
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/Tcl/lib/tk8.6/images/logo.eps	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/Tcl/lib/tk8.6/images/logo.eps	(revision 3761)
@@ -0,0 +1,2091 @@
+%!PS-Adobe-3.0 EPSF-3.0
+%%Creator: Adobe Illustrator(TM) 5.5
+%%For: (Bud Northern) (Mark Anderson Design)
+%%Title: (TCL/TK LOGO.ILLUS)
+%%CreationDate: (8/1/96) (4:58 PM)
+%%BoundingBox: 251 331 371 512
+%%HiResBoundingBox: 251.3386 331.5616 370.5213 511.775
+%%DocumentProcessColors: Cyan Magenta Yellow
+%%DocumentSuppliedResources: procset Adobe_level2_AI5 1.0 0
+%%+ procset Adobe_IllustratorA_AI5 1.0 0
+%AI5_FileFormat 1.2
+%AI3_ColorUsage: Color
+%%DocumentCustomColors: (TCL RED)
+%%CMYKCustomColor: 0 0.45 1 0 (Orange)
+%%+ 0 0.25 1 0 (Orange Yellow)
+%%+ 0 0.79 0.91 0 (TCL RED)
+%AI3_TemplateBox: 306 396 306 396
+%AI3_TileBox: 12 12 600 780
+%AI3_DocumentPreview: Macintosh_ColorPic
+%AI5_ArtSize: 612 792
+%AI5_RulerUnits: 0
+%AI5_ArtFlags: 1 0 0 1 0 0 1 1 0
+%AI5_TargetResolution: 800
+%AI5_NumLayers: 1
+%AI5_OpenToView: 90 576 2 938 673 18 1 1 2 40
+%AI5_OpenViewLayers: 7
+%%EndComments
+%%BeginProlog
+%%BeginResource: procset Adobe_level2_AI5 1.0 0
+%%Title: (Adobe Illustrator (R) Version 5.0 Level 2 Emulation)
+%%Version: 1.0 
+%%CreationDate: (04/10/93) ()
+%%Copyright: ((C) 1987-1993 Adobe Systems Incorporated All Rights Reserved)
+userdict /Adobe_level2_AI5 21 dict dup begin
+	put
+	/packedarray where not
+	{
+		userdict begin
+		/packedarray
+		{
+			array astore readonly
+		} bind def
+		/setpacking /pop load def
+		/currentpacking false def
+	 end
+		0
+	} if
+	pop
+	userdict /defaultpacking currentpacking put true setpacking
+	/initialize
+	{
+		Adobe_level2_AI5 begin
+	} bind def
+	/terminate
+	{
+		currentdict Adobe_level2_AI5 eq
+		{
+		 end
+		} if
+	} bind def
+	mark
+	/setcustomcolor where not
+	{
+		/findcmykcustomcolor
+		{
+			5 packedarray
+		} bind def
+		/setcustomcolor
+		{
+			exch aload pop pop
+			4
+			{
+				4 index mul 4 1 roll
+			} repeat
+			5 -1 roll pop
+			setcmykcolor
+		}
+		def
+	} if
+	
+	/gt38? mark {version cvx exec} stopped {cleartomark true} {38 gt exch pop} ifelse def
+	userdict /deviceDPI 72 0 matrix defaultmatrix dtransform dup mul exch dup mul add sqrt put
+	userdict /level2?
+	systemdict /languagelevel known dup
+	{
+		pop systemdict /languagelevel get 2 ge
+	} if
+	put
+	level2? not
+	{
+		/setcmykcolor where not
+		{
+			/setcmykcolor
+			{
+				exch .11 mul add exch .59 mul add exch .3 mul add
+				1 exch sub setgray
+			} def
+		} if
+		/currentcmykcolor where not
+		{
+			/currentcmykcolor
+			{
+				0 0 0 1 currentgray sub
+			} def
+		} if
+		/setoverprint where not
+		{
+			/setoverprint /pop load def
+		} if
+		/selectfont where not
+		{
+			/selectfont
+			{
+				exch findfont exch
+				dup type /arraytype eq
+				{
+					makefont
+				}
+				{
+					scalefont
+				} ifelse
+				setfont
+			} bind def
+		} if
+		/cshow where not
+		{
+			/cshow
+			{
+				[
+				0 0 5 -1 roll aload pop
+				] cvx bind forall
+			} bind def
+		} if
+	} if
+	cleartomark
+	/anyColor?
+	{
+		add add add 0 ne
+	} bind def
+	/testColor
+	{
+		gsave
+		setcmykcolor currentcmykcolor
+		grestore
+	} bind def
+	/testCMYKColorThrough
+	{
+		testColor anyColor?
+	} bind def
+	userdict /composite?
+	level2?
+	{
+		gsave 1 1 1 1 setcmykcolor currentcmykcolor grestore
+		add add add 4 eq
+	}
+	{
+		1 0 0 0 testCMYKColorThrough
+		0 1 0 0 testCMYKColorThrough
+		0 0 1 0 testCMYKColorThrough
+		0 0 0 1 testCMYKColorThrough
+		and and and
+	} ifelse
+	put
+	composite? not
+	{
+		userdict begin
+		gsave
+		/cyan? 1 0 0 0 testCMYKColorThrough def
+		/magenta? 0 1 0 0 testCMYKColorThrough def
+		/yellow? 0 0 1 0 testCMYKColorThrough def
+		/black? 0 0 0 1 testCMYKColorThrough def
+		grestore
+		/isCMYKSep? cyan? magenta? yellow? black? or or or def
+		/customColor? isCMYKSep? not def
+	 end
+	} if
+ end defaultpacking setpacking
+%%EndResource
+%%BeginResource: procset Adobe_IllustratorA_AI5 1.1 0
+%%Title: (Adobe Illustrator (R) Version 5.0 Abbreviated Prolog)
+%%Version: 1.1 
+%%CreationDate: (3/7/1994) ()
+%%Copyright: ((C) 1987-1994 Adobe Systems Incorporated All Rights Reserved)
+currentpacking true setpacking
+userdict /Adobe_IllustratorA_AI5_vars 70 dict dup begin
+put
+/_lp /none def
+/_pf
+{
+} def
+/_ps
+{
+} def
+/_psf
+{
+} def
+/_pss
+{
+} def
+/_pjsf
+{
+} def
+/_pjss
+{
+} def
+/_pola 0 def
+/_doClip 0 def
+/cf currentflat def
+/_tm matrix def
+/_renderStart
+[
+/e0 /r0 /a0 /o0 /e1 /r1 /a1 /i0
+] def
+/_renderEnd
+[
+null null null null /i1 /i1 /i1 /i1
+] def
+/_render -1 def
+/_rise 0 def
+/_ax 0 def
+/_ay 0 def
+/_cx 0 def
+/_cy 0 def
+/_leading
+[
+0 0
+] def
+/_ctm matrix def
+/_mtx matrix def
+/_sp 16#020 def
+/_hyphen (-) def
+/_fScl 0 def
+/_cnt 0 def
+/_hs 1 def
+/_nativeEncoding 0 def
+/_useNativeEncoding 0 def
+/_tempEncode 0 def
+/_pntr 0 def
+/_tDict 2 dict def
+/_wv 0 def
+/Tx
+{
+} def
+/Tj
+{
+} def
+/CRender
+{
+} def
+/_AI3_savepage
+{
+} def
+/_gf null def
+/_cf 4 array def
+/_if null def
+/_of false def
+/_fc
+{
+} def
+/_gs null def
+/_cs 4 array def
+/_is null def
+/_os false def
+/_sc
+{
+} def
+/discardSave null def
+/buffer 256 string def
+/beginString null def
+/endString null def
+/endStringLength null def
+/layerCnt 1 def
+/layerCount 1 def
+/perCent (%) 0 get def
+/perCentSeen? false def
+/newBuff null def
+/newBuffButFirst null def
+/newBuffLast null def
+/clipForward? false def
+end
+userdict /Adobe_IllustratorA_AI5 74 dict dup begin
+put
+/initialize
+{
+	Adobe_IllustratorA_AI5 dup begin
+	Adobe_IllustratorA_AI5_vars begin
+	discardDict
+	{
+		bind pop pop
+	} forall
+	dup /nc get begin
+	{
+		dup xcheck 1 index type /operatortype ne and
+		{
+			bind
+		} if
+		pop pop
+	} forall
+ end
+	newpath
+} def
+/terminate
+{
+ end
+ end
+} def
+/_
+null def
+/ddef
+{
+	Adobe_IllustratorA_AI5_vars 3 1 roll put
+} def
+/xput
+{
+	dup load dup length exch maxlength eq
+	{
+		dup dup load dup
+		length 2 mul dict copy def
+	} if
+	load begin
+	def
+ end
+} def
+/npop
+{
+	{
+		pop
+	} repeat
+} def
+/sw
+{
+	dup length exch stringwidth
+	exch 5 -1 roll 3 index mul add
+	4 1 roll 3 1 roll mul add
+} def
+/swj
+{
+	dup 4 1 roll
+	dup length exch stringwidth
+	exch 5 -1 roll 3 index mul add
+	4 1 roll 3 1 roll mul add
+	6 2 roll /_cnt 0 ddef
+	{
+		1 index eq
+		{
+			/_cnt _cnt 1 add ddef
+		} if
+	} forall
+	pop
+	exch _cnt mul exch _cnt mul 2 index add 4 1 roll 2 index add 4 1 roll pop pop
+} def
+/ss
+{
+	4 1 roll
+	{
+		2 npop
+		(0) exch 2 copy 0 exch put pop
+		gsave
+		false charpath currentpoint
+		4 index setmatrix
+		stroke
+		grestore
+		moveto
+		2 copy rmoveto
+	} exch cshow
+	3 npop
+} def
+/jss
+{
+	4 1 roll
+	{
+		2 npop
+		(0) exch 2 copy 0 exch put
+		gsave
+		_sp eq
+		{
+			exch 6 index 6 index 6 index 5 -1 roll widthshow
+			currentpoint
+		}
+		{
+			false charpath currentpoint
+			4 index setmatrix stroke
+		} ifelse
+		grestore
+		moveto
+		2 copy rmoveto
+	} exch cshow
+	6 npop
+} def
+/sp
+{
+	{
+		2 npop (0) exch
+		2 copy 0 exch put pop
+		false charpath
+		2 copy rmoveto
+	} exch cshow
+	2 npop
+} def
+/jsp
+{
+	{
+		2 npop
+		(0) exch 2 copy 0 exch put
+		_sp eq
+		{
+			exch 5 index 5 index 5 index 5 -1 roll widthshow
+		}
+		{
+			false charpath
+		} ifelse
+		2 copy rmoveto
+	} exch cshow
+	5 npop
+} def
+/pl
+{
+	transform
+	0.25 sub round 0.25 add exch
+	0.25 sub round 0.25 add exch
+	itransform
+} def
+/setstrokeadjust where
+{
+	pop true setstrokeadjust
+	/c
+	{
+		curveto
+	} def
+	/C
+	/c load def
+	/v
+	{
+		currentpoint 6 2 roll curveto
+	} def
+	/V
+	/v load def
+	/y
+	{
+		2 copy curveto
+	} def
+	/Y
+	/y load def
+	/l
+	{
+		lineto
+	} def
+	/L
+	/l load def
+	/m
+	{
+		moveto
+	} def
+}
+{
+	/c
+	{
+		pl curveto
+	} def
+	/C
+	/c load def
+	/v
+	{
+		currentpoint 6 2 roll pl curveto
+	} def
+	/V
+	/v load def
+	/y
+	{
+		pl 2 copy curveto
+	} def
+	/Y
+	/y load def
+	/l
+	{
+		pl lineto
+	} def
+	/L
+	/l load def
+	/m
+	{
+		pl moveto
+	} def
+} ifelse
+/d
+{
+	setdash
+} def
+/cf
+{
+} def
+/i
+{
+	dup 0 eq
+	{
+		pop cf
+	} if
+	setflat
+} def
+/j
+{
+	setlinejoin
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+{
+	setlinecap
+} def
+/M
+{
+	setmiterlimit
+} def
+/w
+{
+	setlinewidth
+} def
+/H
+{
+} def
+/h
+{
+	closepath
+} def
+/N
+{
+	_pola 0 eq
+	{
+		_doClip 1 eq
+		{
+			clip /_doClip 0 ddef
+		} if
+		newpath
+	}
+	{
+		/CRender
+		{
+			N
+		} ddef
+	} ifelse
+} def
+/n
+{
+	N
+} def
+/F
+{
+	_pola 0 eq
+	{
+		_doClip 1 eq
+		{
+			gsave _pf grestore clip newpath /_lp /none ddef _fc
+			/_doClip 0 ddef
+		}
+		{
+			_pf
+		} ifelse
+	}
+	{
+		/CRender
+		{
+			F
+		} ddef
+	} ifelse
+} def
+/f
+{
+	closepath
+	F
+} def
+/S
+{
+	_pola 0 eq
+	{
+		_doClip 1 eq
+		{
+			gsave _ps grestore clip newpath /_lp /none ddef _sc
+			/_doClip 0 ddef
+		}
+		{
+			_ps
+		} ifelse
+	}
+	{
+		/CRender
+		{
+			S
+		} ddef
+	} ifelse
+} def
+/s
+{
+	closepath
+	S
+} def
+/B
+{
+	_pola 0 eq
+	{
+		_doClip 1 eq
+		gsave F grestore
+		{
+			gsave S grestore clip newpath /_lp /none ddef _sc
+			/_doClip 0 ddef
+		}
+		{
+			S
+		} ifelse
+	}
+	{
+		/CRender
+		{
+			B
+		} ddef
+	} ifelse
+} def
+/b
+{
+	closepath
+	B
+} def
+/W
+{
+	/_doClip 1 ddef
+} def
+/*
+{
+	count 0 ne
+	{
+		dup type /stringtype eq
+		{
+			pop
+		} if
+	} if
+	newpath
+} def
+/u
+{
+} def
+/U
+{
+} def
+/q
+{
+	_pola 0 eq
+	{
+		gsave
+	} if
+} def
+/Q
+{
+	_pola 0 eq
+	{
+		grestore
+	} if
+} def
+/*u
+{
+	_pola 1 add /_pola exch ddef
+} def
+/*U
+{
+	_pola 1 sub /_pola exch ddef
+	_pola 0 eq
+	{
+		CRender
+	} if
+} def
+/D
+{
+	pop
+} def
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+{
+} def
+/*W
+{
+} def
+/`
+{
+	/_i save ddef
+	clipForward?
+	{
+		nulldevice
+	} if
+	6 1 roll 4 npop
+	concat pop
+	userdict begin
+	/showpage
+	{
+	} def
+	0 setgray
+	0 setlinecap
+	1 setlinewidth
+	0 setlinejoin
+	10 setmiterlimit
+	[] 0 setdash
+	/setstrokeadjust where {pop false setstrokeadjust} if
+	newpath
+	0 setgray
+	false setoverprint
+} def
+/~
+{
+ end
+	_i restore
+} def
+/O
+{
+	0 ne
+	/_of exch ddef
+	/_lp /none ddef
+} def
+/R
+{
+	0 ne
+	/_os exch ddef
+	/_lp /none ddef
+} def
+/g
+{
+	/_gf exch ddef
+	/_fc
+	{
+		_lp /fill ne
+		{
+			_of setoverprint
+			_gf setgray
+			/_lp /fill ddef
+		} if
+	} ddef
+	/_pf
+	{
+		_fc
+		fill
+	} ddef
+	/_psf
+	{
+		_fc
+		ashow
+	} ddef
+	/_pjsf
+	{
+		_fc
+		awidthshow
+	} ddef
+	/_lp /none ddef
+} def
+/G
+{
+	/_gs exch ddef
+	/_sc
+	{
+		_lp /stroke ne
+		{
+			_os setoverprint
+			_gs setgray
+			/_lp /stroke ddef
+		} if
+	} ddef
+	/_ps
+	{
+		_sc
+		stroke
+	} ddef
+	/_pss
+	{
+		_sc
+		ss
+	} ddef
+	/_pjss
+	{
+		_sc
+		jss
+	} ddef
+	/_lp /none ddef
+} def
+/k
+{
+	_cf astore pop
+	/_fc
+	{
+		_lp /fill ne
+		{
+			_of setoverprint
+			_cf aload pop setcmykcolor
+			/_lp /fill ddef
+		} if
+	} ddef
+	/_pf
+	{
+		_fc
+		fill
+	} ddef
+	/_psf
+	{
+		_fc
+		ashow
+	} ddef
+	/_pjsf
+	{
+		_fc
+		awidthshow
+	} ddef
+	/_lp /none ddef
+} def
+/K
+{
+	_cs astore pop
+	/_sc
+	{
+		_lp /stroke ne
+		{
+			_os setoverprint
+			_cs aload pop setcmykcolor
+			/_lp /stroke ddef
+		} if
+	} ddef
+	/_ps
+	{
+		_sc
+		stroke
+	} ddef
+	/_pss
+	{
+		_sc
+		ss
+	} ddef
+	/_pjss
+	{
+		_sc
+		jss
+	} ddef
+	/_lp /none ddef
+} def
+/x
+{
+	/_gf exch ddef
+	findcmykcustomcolor
+	/_if exch ddef
+	/_fc
+	{
+		_lp /fill ne
+		{
+			_of setoverprint
+			_if _gf 1 exch sub setcustomcolor
+			/_lp /fill ddef
+		} if
+	} ddef
+	/_pf
+	{
+		_fc
+		fill
+	} ddef
+	/_psf
+	{
+		_fc
+		ashow
+	} ddef
+	/_pjsf
+	{
+		_fc
+		awidthshow
+	} ddef
+	/_lp /none ddef
+} def
+/X
+{
+	/_gs exch ddef
+	findcmykcustomcolor
+	/_is exch ddef
+	/_sc
+	{
+		_lp /stroke ne
+		{
+			_os setoverprint
+			_is _gs 1 exch sub setcustomcolor
+			/_lp /stroke ddef
+		} if
+	} ddef
+	/_ps
+	{
+		_sc
+		stroke
+	} ddef
+	/_pss
+	{
+		_sc
+		ss
+	} ddef
+	/_pjss
+	{
+		_sc
+		jss
+	} ddef
+	/_lp /none ddef
+} def
+/A
+{
+	pop
+} def
+/annotatepage
+{
+userdict /annotatepage 2 copy known {get exec} {pop pop} ifelse
+} def
+/discard
+{
+	save /discardSave exch store
+	discardDict begin
+	/endString exch store
+	gt38?
+	{
+		2 add
+	} if
+	load
+	stopped
+	pop
+ end
+	discardSave restore
+} bind def
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+put
+/pre38Initialize
+{
+	/endStringLength endString length store
+	/newBuff buffer 0 endStringLength getinterval store
+	/newBuffButFirst newBuff 1 endStringLength 1 sub getinterval store
+	/newBuffLast newBuff endStringLength 1 sub 1 getinterval store
+} def
+/shiftBuffer
+{
+	newBuff 0 newBuffButFirst putinterval
+	newBuffLast 0
+	currentfile read not
+	{
+	stop
+	} if
+	put
+} def
+0
+{
+	pre38Initialize
+	mark
+	currentfile newBuff readstring exch pop
+	{
+		{
+			newBuff endString eq
+			{
+				cleartomark stop
+			} if
+			shiftBuffer
+		} loop
+	}
+	{
+	stop
+	} ifelse
+} def
+1
+{
+	pre38Initialize
+	/beginString exch store
+	mark
+	currentfile newBuff readstring exch pop
+	{
+		{
+			newBuff beginString eq
+			{
+				/layerCount dup load 1 add store
+			}
+			{
+				newBuff endString eq
+				{
+					/layerCount dup load 1 sub store
+					layerCount 0 eq
+					{
+						cleartomark stop
+					} if
+				} if
+			} ifelse
+			shiftBuffer
+		} loop
+	}
+	{
+	stop
+	} ifelse
+} def
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+{
+	mark
+	{
+		currentfile buffer readline not
+		{
+		stop
+		} if
+		endString eq
+		{
+			cleartomark stop
+		} if
+	} loop
+} def
+3
+{
+	/beginString exch store
+	/layerCnt 1 store
+	mark
+	{
+		currentfile buffer readline not
+		{
+		stop
+		} if
+		dup beginString eq
+		{
+			pop /layerCnt dup load 1 add store
+		}
+		{
+			endString eq
+			{
+				layerCnt 1 eq
+				{
+					cleartomark stop
+				}
+				{
+					/layerCnt dup load 1 sub store
+				} ifelse
+			} if
+		} ifelse
+	} loop
+} def
+end
+userdict /clipRenderOff 15 dict dup begin
+put
+{
+	/n /N /s /S /f /F /b /B
+}
+{
+	{
+		_doClip 1 eq
+		{
+			/_doClip 0 ddef clip
+		} if
+		newpath
+	} def
+} forall
+/Tr /pop load def
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+	6 1 roll
+	pop
+	4 1 roll
+	pop pop pop
+	0 eq
+	{
+		0 eq
+		{
+			(%AI5_BeginLayer) 1 (%AI5_EndLayer--) discard
+		}
+		{
+			/clipForward? true def
+			
+			/Tx /pop load def
+			/Tj /pop load def
+			currentdict end clipRenderOff begin begin
+		} ifelse
+	}
+	{
+		0 eq
+		{
+			save /discardSave exch store
+		} if
+	} ifelse
+} bind def
+/LB
+{
+	discardSave dup null ne
+	{
+		restore
+	}
+	{
+		pop
+		clipForward?
+		{
+			currentdict
+		 end
+		 end
+		 begin
+			
+			/clipForward? false ddef
+		} if
+	} ifelse
+} bind def
+/Pb
+{
+	pop pop
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+} bind def
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+} bind def
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+/pop load def
+/Ar
+{
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+	dup 1 lt
+	{
+		pop 1
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+} def
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+{
+	pop
+} bind def
+/setcmykcolor
+{
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+} bind def
+/setcustomcolor
+{
+	2 npop
+} bind def
+currentdict readonly pop
+end
+currentdict readonly pop
+end
+setpacking
+%%EndResource
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+336.9846 354.9966 m
+337.7037 354.9966 L
+337.7037 354.4154 L
+337.7037 353.9179 337.6787 353.2908 337.0264 353.2908 c
+336.3617 353.2908 336.299 353.989 336.299 354.9841 c
+336.299 355.7283 336.3868 356.5268 337.0557 356.5268 c
+337.432 356.5268 337.6201 356.276 337.6996 355.9331 c
+337.4111 355.8202 L
+337.3776 356.0084 337.2982 356.2425 337.0682 356.2425 c
+336.6334 356.2383 336.6 355.5652 336.6 355.0091 c
+336.6 353.8427 336.7463 353.5751 337.0515 353.5751 c
+337.3818 353.5751 337.4111 353.8176 337.4111 354.4907 c
+337.4111 354.729 L
+336.9846 354.729 L
+336.9846 354.9966 l
+f
+*U
+U
+U
+337.6667 -3924 m
+(N) *
+337.6667 4716 m
+(N) *
+LB
+%AI5_EndLayer--
+%%PageTrailer
+gsave annotatepage grestore showpage
+%%Trailer
+Adobe_IllustratorA_AI5 /terminate get exec
+Adobe_level2_AI5 /terminate get exec
+%%EOF
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/Tcl/lib/tk8.6/images/pwrdLogo150.gif
===================================================================
Cannot display: file marked as a binary type.
svn:mime-type = application/octet-stream

Property changes on: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/Tcl/lib/tk8.6/images/pwrdLogo150.gif
___________________________________________________________________
Added: svn:mime-type
   + application/octet-stream

Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/include/R_ext/Arith.h
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/include/R_ext/Arith.h	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/include/R_ext/Arith.h	(revision 3761)
@@ -0,0 +1,91 @@
+/*
+ *  R : A Computer Language for Statistical Data Analysis
+ *  Copyright (C) 1995, 1996  Robert Gentleman and Ross Ihaka
+ *  Copyright (C) 1998--2016  The R Core Team.
+ *
+ *  This header file is free software; you can redistribute it and/or modify
+ *  it under the terms of the GNU Lesser General Public License as published by
+ *  the Free Software Foundation; either version 2.1 of the License, or
+ *  (at your option) any later version.
+ *
+ *  This file is part of R. R is distributed under the terms of the
+ *  GNU General Public License, either Version 2, June 1991 or Version 3,
+ *  June 2007. See doc/COPYRIGHTS for details of the copyright status of R.
+ *
+ *  This program is distributed in the hope that it will be useful,
+ *  but WITHOUT ANY WARRANTY; without even the implied warranty of
+ *  MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
+ *  GNU Lesser General Public License for more details.
+ *
+ *  You should have received a copy of the GNU Lesser General Public License
+ *  along with this program; if not, a copy is available at
+ *  https://www.R-project.org/Licenses/
+ */
+
+/* Included by R.h: API */
+
+#ifndef R_ARITH_H_
+#define R_ARITH_H_
+
+/* 
+   This used to define _BSD_SOURCE to make declarations of isfinite
+   and isnan visible in glibc.  But that was deprecated in glibc 2.20,
+   and --std=c99 suffices nowadays.
+*/
+
+#include <R_ext/libextern.h>
+#ifdef  __cplusplus
+extern "C" {
+#else
+/* needed for isnan and isfinite, neither of which are used under C++ */
+# include <math.h>
+#endif
+
+/* implementation of these : ../../main/arithmetic.c */
+LibExtern double R_NaN;		/* IEEE NaN */
+LibExtern double R_PosInf;	/* IEEE Inf */
+LibExtern double R_NegInf;	/* IEEE -Inf */
+LibExtern double R_NaReal;	/* NA_REAL: IEEE */
+LibExtern int	 R_NaInt;	/* NA_INTEGER:= INT_MIN currently */
+#ifdef __MAIN__
+#undef extern
+#undef LibExtern
+#endif
+
+#define NA_LOGICAL	R_NaInt
+#define NA_INTEGER	R_NaInt
+/* #define NA_FACTOR	R_NaInt  unused */
+#define NA_REAL		R_NaReal
+/* NA_STRING is a SEXP, so defined in Rinternals.h */
+
+int R_IsNA(double);		/* True for R's NA only */
+int R_IsNaN(double);		/* True for special NaN, *not* for NA */
+int R_finite(double);		/* True if none of NA, NaN, +/-Inf */
+#define ISNA(x)	       R_IsNA(x)
+
+/* ISNAN(): True for *both* NA and NaN.
+   NOTE: some systems do not return 1 for TRUE.
+   Also note that C++ math headers specifically undefine
+   isnan if it is a macro (it is on macOS and in C99),
+   hence the workaround.  This code also appears in Rmath.h
+*/
+#ifdef __cplusplus
+  int R_isnancpp(double); /* in arithmetic.c */
+#  define ISNAN(x)     R_isnancpp(x)
+#else
+#  define ISNAN(x)     (isnan(x)!=0)
+#endif
+
+/* The following is only defined inside R */
+#ifdef HAVE_WORKING_ISFINITE
+/* isfinite is defined in <math.h> according to C99 */
+# define R_FINITE(x)    isfinite(x)
+#else
+# define R_FINITE(x)    R_finite(x)
+#endif
+
+#ifdef  __cplusplus
+}
+#endif
+
+#endif /* R_ARITH_H_ */
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/include/R_ext/Complex.h
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/include/R_ext/Complex.h	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/include/R_ext/Complex.h	(revision 3761)
@@ -0,0 +1,42 @@
+/*
+ *  R : A Computer Language for Statistical Data Analysis
+ *  Copyright (C) 1998-2001   The R Core Team
+ *
+ *  This header file is free software; you can redistribute it and/or modify
+ *  it under the terms of the GNU Lesser General Public License as published by
+ *  the Free Software Foundation; either version 2.1 of the License, or
+ *  (at your option) any later version.
+ *
+ *  This file is part of R. R is distributed under the terms of the
+ *  GNU General Public License, either Version 2, June 1991 or Version 3,
+ *  June 2007. See doc/COPYRIGHTS for details of the copyright status of R.
+ *
+ *  This program is distributed in the hope that it will be useful,
+ *  but WITHOUT ANY WARRANTY; without even the implied warranty of
+ *  MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
+ *  GNU Lesser General Public License for more details.
+ *
+ *  You should have received a copy of the GNU Lesser General Public License
+ *  along with this program; if not, a copy is available at
+ *  https://www.R-project.org/Licenses/
+ */
+
+/* Included by R.h: API */
+
+#ifndef R_COMPLEX_H
+#define R_COMPLEX_H
+
+#ifdef  __cplusplus
+extern "C" {
+#endif
+
+typedef struct {
+	double r;
+	double i;
+} Rcomplex;
+
+#ifdef  __cplusplus
+}
+#endif
+
+#endif /* R_COMPLEX_H */
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/include/R_ext/Memory.h
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/include/R_ext/Memory.h	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/include/R_ext/Memory.h	(revision 3761)
@@ -0,0 +1,63 @@
+/*
+ *  R : A Computer Language for Statistical Data Analysis
+ *  Copyright (C) 1998-2022  The R Core Team
+ *
+ *  This header file is free software; you can redistribute it and/or modify
+ *  it under the terms of the GNU Lesser General Public License as published by
+ *  the Free Software Foundation; either version 2.1 of the License, or
+ *  (at your option) any later version.
+ *
+ *  This file is part of R. R is distributed under the terms of the
+ *  GNU General Public License, either Version 2, June 1991 or Version 3,
+ *  June 2007. See doc/COPYRIGHTS for details of the copyright status of R.
+ *
+ *  This program is distributed in the hope that it will be useful,
+ *  but WITHOUT ANY WARRANTY; without even the implied warranty of
+ *  MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
+ *  GNU Lesser General Public License for more details.
+ *
+ *  You should have received a copy of the GNU Lesser General Public License
+ *  along with this program; if not, a copy is available at
+ *  https://www.R-project.org/Licenses/
+ *
+ *
+ * Memory Allocation (garbage collected) --- INCLUDING S compatibility ---
+ */
+
+/* Included by R.h: API */
+
+#ifndef R_EXT_MEMORY_H_
+#define R_EXT_MEMORY_H_
+
+#if defined(__cplusplus) && !defined(DO_NOT_USE_CXX_HEADERS)
+# include <cstddef>
+# define R_SIZE_T std::size_t
+#else
+# include <stddef.h> /* for size_t */
+# define R_SIZE_T size_t
+#endif
+
+#ifdef  __cplusplus
+extern "C" {
+#endif
+
+void*	vmaxget(void);
+void	vmaxset(const void *);
+
+void	R_gc(void);
+int	R_gc_running(void);
+
+char*	R_alloc(R_SIZE_T, int);
+long double *R_allocLD(R_SIZE_T nelem);
+char*	S_alloc(long, int);
+char*	S_realloc(char *, long, long, int);
+
+void *  R_malloc_gc(size_t);
+void *  R_calloc_gc(size_t, size_t);
+void *  R_realloc_gc(void *, size_t);
+
+#ifdef  __cplusplus
+}
+#endif
+
+#endif /* R_EXT_MEMORY_H_ */
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/include/R_ext/Applic.h
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/include/R_ext/Applic.h	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/include/R_ext/Applic.h	(revision 3761)
@@ -0,0 +1,157 @@
+/*
+ *  R : A Computer Language for Statistical Data Analysis
+ *  Copyright (C) 1998-2018   The R Core Team
+ *
+ *  This header file is free software; you can redistribute it and/or modify
+ *  it under the terms of the GNU Lesser General Public License as published by
+ *  the Free Software Foundation; either version 2.1 of the License, or
+ *  (at your option) any later version.
+ *
+ *  This file is part of R. R is distributed under the terms of the
+ *  GNU General Public License, either Version 2, June 1991 or Version 3,
+ *  June 2007. See doc/COPYRIGHTS for details of the copyright status of R.
+ *
+ *  This program is distributed in the hope that it will be useful,
+ *  but WITHOUT ANY WARRANTY; without even the implied warranty of
+ *  MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
+ *  GNU Lesser General Public License for more details.
+ *
+ *  You should have received a copy of the GNU Lesser General Public License
+ *  along with this program; if not, a copy is available at
+ *  https://www.R-project.org/Licenses/
+ *
+ *
+ * Application Routines, typically implemented in  ../appl/
+ * ----------------------------------------------  ========
+ */
+
+/* This header file contains routines which are in the R API and ones which
+   are not.
+
+   Those which are not can be used only at the user's risk and may change
+   or disappear in a future release of R.
+*/
+
+
+#ifndef R_APPLIC_H_
+#define R_APPLIC_H_
+
+#include <R_ext/Boolean.h>
+#include <R_ext/RS.h>		/* F77_... */
+#include <R_ext/BLAS.h>
+
+#ifdef  __cplusplus
+extern "C" {
+#endif
+
+/* Entry points in the R API */
+
+/* ../../appl/integrate.c */
+typedef void integr_fn(double *x, int n, void *ex);
+/* vectorizing function   f(x[1:n], ...) -> x[]  {overwriting x[]}. */
+
+void Rdqags(integr_fn f, void *ex, double *a, double *b,
+	    double *epsabs, double *epsrel,
+	    double *result, double *abserr, int *neval, int *ier,
+	    int *limit, int *lenw, int *last, int *iwork, double *work);
+
+void Rdqagi(integr_fn f, void *ex, double *bound, int *inf,
+	    double *epsabs, double *epsrel,
+	    double *result, double *abserr, int *neval, int *ier,
+	    int *limit, int *lenw, int *last,
+	    int *iwork, double *work);
+
+/* main/optim.c */
+typedef double optimfn(int, double *, void *);
+typedef void optimgr(int, double *, double *, void *);
+
+void vmmin(int n, double *b, double *Fmin,
+	   optimfn fn, optimgr gr, int maxit, int trace,
+	   int *mask, double abstol, double reltol, int nREPORT,
+	   void *ex, int *fncount, int *grcount, int *fail);
+void nmmin(int n, double *Bvec, double *X, double *Fmin, optimfn fn,
+	   int *fail, double abstol, double intol, void *ex,
+	   double alpha, double bet, double gamm, int trace,
+	   int *fncount, int maxit);
+void cgmin(int n, double *Bvec, double *X, double *Fmin,
+	   optimfn fn, optimgr gr,
+	   int *fail, double abstol, double intol, void *ex,
+	   int type, int trace, int *fncount, int *grcount, int maxit);
+void lbfgsb(int n, int m, double *x, double *l, double *u, int *nbd,
+	    double *Fmin, optimfn fn, optimgr gr, int *fail, void *ex,
+	    double factr, double pgtol, int *fncount, int *grcount,
+	    int maxit, char *msg, int trace, int nREPORT);
+void samin(int n, double *pb, double *yb, optimfn fn, int maxit,
+	   int tmax, double ti, int trace, void *ex);
+
+/* appl/interv.c: Also in Utils.h, used in package eco */
+int findInterval(double *xt, int n, double x,
+		 Rboolean rightmost_closed,  Rboolean all_inside, int ilo,
+		 int *mflag);
+// findInterval2() is only in Utils.h (and hence Rinternals.h)
+
+
+/* ------------------ Entry points NOT in the R API --------------- */
+
+/* The following are registered for use in .C/.Fortran */
+
+/* appl/dqrutl.f: interfaces to dqrsl */
+void F77_NAME(dqrqty)(double *x, int *n, int *k, double *qraux,
+		      double *y, int *ny, double *qty);
+void F77_NAME(dqrqy)(double *x, int *n, int *k, double *qraux,
+		     double *y, int *ny, double *qy);
+void F77_NAME(dqrcf)(double *x, int *n, int *k, double *qraux,
+		     double *y, int *ny, double *b, int *info);
+void F77_NAME(dqrrsd)(double *x, int *n, int *k, double *qraux,
+		     double *y, int *ny, double *rsd);
+void F77_NAME(dqrxb)(double *x, int *n, int *k, double *qraux,
+		     double *y, int *ny, double *xb);
+
+/* end of registered */
+
+/* hidden, for use in R.bin/R.dll/libR.so */
+
+/* appl/pretty.c: for use in engine.c and util.c */
+double R_pretty(double *lo, double *up, int *ndiv, int min_n,
+		double shrink_sml, const double high_u_fact[],
+		int eps_correction, int return_bounds);
+
+
+/* For use in package stats */
+
+/* appl/uncmin.c : */
+
+/* type of pointer to the target and gradient functions */
+typedef void (*fcn_p)(int, double *, double *, void *);
+
+/* type of pointer to the hessian functions */
+typedef void (*d2fcn_p)(int, int, double *, double *, void *);
+
+void fdhess(int n, double *x, double fval, fcn_p fun, void *state,
+	    double *h, int nfd, double *step, double *f, int ndigit,
+	    double *typx);
+
+/* Also used in packages nlme, pcaPP */
+void optif9(int nr, int n, double *x,
+	    fcn_p fcn, fcn_p d1fcn, d2fcn_p d2fcn,
+	    void *state, double *typsiz, double fscale, int method,
+	    int iexp, int *msg, int ndigit, int itnlim, int iagflg,
+	    int iahflg, double dlt, double gradtl, double stepmx,
+	    double steptl, double *xpls, double *fpls, double *gpls,
+	    int *itrmcd, double *a, double *wrk, int *itncnt);
+
+/* find qr decomposition, dqrdc2() is basis of R's qr(),
+   also used by nlme and many other packages. */
+void F77_NAME(dqrdc2)(double *x, int *ldx, int *n, int *p,
+		      double *tol, int *rank,
+		      double *qraux, int *pivot, double *work);
+void F77_NAME(dqrls)(double *x, int *n, int *p, double *y, int *ny,
+		     double *tol, double *b, double *rsd,
+		     double *qty, int *k,
+		     int *jpvt, double *qraux, double *work);
+
+#ifdef  __cplusplus
+}
+#endif
+
+#endif /* R_APPLIC_H_ */
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/include/R_ext/Itermacros.h
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/include/R_ext/Itermacros.h	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/include/R_ext/Itermacros.h	(revision 3761)
@@ -0,0 +1,255 @@
+/*
+ *  R : A Computer Language for Statistical Data Analysis
+ *  Copyright (C) 2001--2019  The R Core Team.
+ *
+ *  This header file is free software; you can redistribute it and/or modify
+ *  it under the terms of the GNU Lesser General Public License as published by
+ *  the Free Software Foundation; either version 2.1 of the License, or
+ *  (at your option) any later version.
+ *
+ *  This file is part of R. R is distributed under the terms of the
+ *  GNU General Public License, either Version 2, June 1991 or Version 3,
+ *  June 2007. See doc/COPYRIGHTS for details of the copyright status of R.
+ *
+ *  This program is distributed in the hope that it will be useful,
+ *  but WITHOUT ANY WARRANTY; without even the implied warranty of
+ *  MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
+ *  GNU Lesser General Public License for more details.
+ *
+ *  You should have received a copy of the GNU Lesser General Public License
+ *  along with this program; if not, a copy is available at
+ *  https://www.R-project.org/Licenses/
+ */
+
+/*
+  Macros to help defining vectorized functions with proper recycling
+  and periodic interrupt checks.
+ */
+
+#ifndef  R_EXT_ITERMACROS_H_
+#define  R_EXT_ITERMACROS_H_
+
+#define LOOP_WITH_INTERRUPT_CHECK(LOOP, ncheck, n, ...) do {		\
+	for (size_t __intr_threshold__ = ncheck;			\
+	     TRUE;							\
+	     __intr_threshold__ += ncheck) {				\
+	    size_t __intr_end__ = n < __intr_threshold__ ?		\
+		n : __intr_threshold__;					\
+	    LOOP(__intr_end__, __VA_ARGS__);				\
+	    if (__intr_end__ == n) break;				\
+	    else R_CheckUserInterrupt();				\
+	}								\
+    } while (0)
+
+#define R_ITERATE_CORE(n, i, loop_body) do {	\
+	for (; i < n; ++i) { loop_body }	\
+    } while (0)
+
+#define R_ITERATE(n, i, loop_body) do {		\
+	i = 0;					\
+	R_ITERATE_CORE(n, i, loop_body);		\
+    } while (0)
+
+#define R_ITERATE_CHECK(ncheck, n, i, loop_body) do {			\
+	i = 0;								\
+	LOOP_WITH_INTERRUPT_CHECK(R_ITERATE_CORE, ncheck, n, i, loop_body); \
+    } while (0)
+
+
+#define MOD_ITERATE1_CORE(n, n1, i, i1, loop_body) do {	\
+	for (; i < n;							\
+	     i1 = (++i1 == n1) ? 0 : i1,				\
+		 ++i) {							\
+	    loop_body							\
+		}							\
+    } while (0)
+
+#define MOD_ITERATE1(n, n1, i, i1, loop_body) do {	\
+	i = i1 = 0;					\
+	MOD_ITERATE1_CORE(n, n1, i, i1, loop_body);	\
+    } while (0)
+
+#define MOD_ITERATE1_CHECK(ncheck, n, n1, i, i1, loop_body) do {	\
+	i = i1 = 0;							\
+	LOOP_WITH_INTERRUPT_CHECK(MOD_ITERATE1_CORE, ncheck, n,		\
+				  n1, i, i1, loop_body);		\
+    } while (0)
+
+#define MOD_ITERATE2_CORE(n, n1, n2, i, i1, i2, loop_body) do {	\
+	for (; i < n;							\
+	     i1 = (++i1 == n1) ? 0 : i1,				\
+		 i2 = (++i2 == n2) ? 0 : i2,				\
+		 ++i) {							\
+	    loop_body							\
+		}							\
+    } while (0)
+
+#define MOD_ITERATE2(n, n1, n2, i, i1, i2, loop_body) do {	\
+	i = i1 = i2 = 0;					\
+	MOD_ITERATE2_CORE(n, n1, n2, i, i1, i2, loop_body);	\
+    } while (0)
+
+#define MOD_ITERATE2_CHECK(ncheck, n, n1, n2, i, i1, i2, loop_body) do {	\
+	i = i1 = i2 = 0;						\
+	LOOP_WITH_INTERRUPT_CHECK(MOD_ITERATE2_CORE, ncheck, n,		\
+				  n1, n2, i, i1, i2, loop_body);	\
+    } while (0)
+
+#define MOD_ITERATE MOD_ITERATE2
+#define MOD_ITERATE_CORE MOD_ITERATE2_CORE
+#define MOD_ITERATE_CHECK MOD_ITERATE2_CHECK
+
+#define MOD_ITERATE3_CORE(n, n1, n2, n3, i, i1, i2, i3, loop_body) do {	\
+	for (; i < n;							\
+	     i1 = (++i1 == n1) ? 0 : i1,				\
+		 i2 = (++i2 == n2) ? 0 : i2,				\
+		 i3 = (++i3 == n3) ? 0 : i3,				\
+		 ++i) {							\
+	    loop_body							\
+		}							\
+    } while (0)
+
+#define MOD_ITERATE3(n, n1, n2, n3, i, i1, i2, i3, loop_body) do {	\
+	i = i1 = i2 = i3 = 0;						\
+	MOD_ITERATE3_CORE(n, n1, n2, n3, i, i1, i2, i3, loop_body);	\
+    } while (0)
+
+#define MOD_ITERATE3_CHECK(ncheck, n, n1, n2, n3, i, i1, i2, i3, loop_body) \
+    do {								\
+	i = i1 = i2 = i3 = 0;						\
+	LOOP_WITH_INTERRUPT_CHECK(MOD_ITERATE3_CORE, ncheck, n,		\
+				  n1, n2, n3, i, i1, i2, i3, loop_body); \
+    } while (0)
+
+#define MOD_ITERATE4_CORE(n, n1, n2, n3, n4, i, i1, i2, i3, i4, loop_body) \
+    do {								\
+	for (; i < n;							\
+	     i1 = (++i1 == n1) ? 0 : i1,				\
+		 i2 = (++i2 == n2) ? 0 : i2,				\
+		 i3 = (++i3 == n3) ? 0 : i3,				\
+		 i4 = (++i4 == n4) ? 0 : i4,				\
+		 ++i) {							\
+	    loop_body							\
+		}							\
+    } while (0)
+
+#define MOD_ITERATE4(n, n1, n2, n3, n4, i, i1, i2, i3, i4, loop_body) do { \
+	i = i1 = i2 = i3 = i4 = 0;					\
+	MOD_ITERATE4_CORE(n, n1, n2, n3, n4, i, i1, i2, i3, i4, loop_body); \
+    } while (0)
+
+#define MOD_ITERATE4_CHECK(ncheck, n, n1, n2, n3, n4, i, i1, i2, i3, i4, \
+			   loop_body)					\
+    do {								\
+	i = i1 = i2 = i3 = i4 = 0;					\
+	LOOP_WITH_INTERRUPT_CHECK(MOD_ITERATE4_CORE, ncheck, n,	\
+				  n1, n2, n3, n4,			\
+				  i, i1, i2, i3, i4, loop_body);	\
+    } while (0)
+
+#define MOD_ITERATE5_CORE(n, n1, n2, n3, n4, n5, i, i1, i2, i3, i4, i5, \
+			  loop_body)					\
+    do {								\
+	for (; i < n;							\
+	     i1 = (++i1 == n1) ? 0 : i1,				\
+		 i2 = (++i2 == n2) ? 0 : i2,				\
+		 i3 = (++i3 == n3) ? 0 : i3,				\
+		 i4 = (++i4 == n4) ? 0 : i4,				\
+		 i5 = (++i5 == n5) ? 0 : i5,				\
+		 ++i) {							\
+	    loop_body							\
+		}							\
+    } while (0)
+
+#define MOD_ITERATE5(n, n1, n2, n3, n4, n5, i, i1, i2, i3, i4, i5, loop_body) \
+    do {								\
+	i = i1 = i2 = i3 = i4 = i5 = 0;					\
+	MOD_ITERATE5_CORE(n, n1, n2, n3, n4, n5, i, i1, i2, i3, i4, i5, \
+			  loop_body);					\
+    } while (0)
+
+#define MOD_ITERATE5_CHECK(ncheck, n, n1, n2, n3, n4, n5, \
+			   i, i1, i2, i3, i4, i5,			\
+			   loop_body)					\
+    do {								\
+	i = i1 = i2 = i3 = i4 = i5 = 0;					\
+	LOOP_WITH_INTERRUPT_CHECK(MOD_ITERATE5_CORE, ncheck, n,	\
+				  n1, n2, n3, n4, n5,			\
+				  i, i1, i2, i3, i4, i5, loop_body);	\
+    } while (0)
+
+#define GET_REGION_BUFSIZE 512
+#define GET_REGION_PTR(x, i, n, buf, type)				\
+    (ALTREP(x) == 0 ? type##0(x) + (i) : (type##_GET_REGION(x, i, n, buf), buf))
+
+#define ITERATE_BY_REGION_PARTIAL0(sx, px, idx, nb, etype, vtype,	\
+				   strt, nfull, expr) do {		\
+	etype __ibr_buf__[GET_REGION_BUFSIZE];				\
+	R_xlen_t __ibr_n__ = strt + nfull;				\
+	R_xlen_t nb;							\
+	for (R_xlen_t idx = strt; idx < __ibr_n__; idx += nb) {		\
+	    nb = __ibr_n__  - idx > GET_REGION_BUFSIZE ?		\
+		GET_REGION_BUFSIZE :  __ibr_n__ - idx;			\
+	    etype *px = (etype *) GET_REGION_PTR(sx, idx, nb,		\
+	                                         __ibr_buf__, vtype);	\
+	    expr							\
+	 }							        \
+    } while (0)
+
+#define ITERATE_BY_REGION_PARTIAL_REV0(sx, px, idx, nb, etype, vtype,	\
+				       strt, nfull, expr) do {		\
+	etype __ibr_buf__[GET_REGION_BUFSIZE];				\
+	R_xlen_t __ibr_n__ = strt + nfull;				\
+	R_xlen_t nb = nfull > GET_REGION_BUFSIZE ?			\
+	    GET_REGION_BUFSIZE : nfull;					\
+	for (R_xlen_t idx = __ibr_n__ - nb; nb > 0; idx -= nb) {	\
+	    etype *px = (etype *) GET_REGION_PTR(sx, idx, nb,		\
+	                                         __ibr_buf__, vtype);	\
+	    expr							\
+	    nb = idx - strt > GET_REGION_BUFSIZE ?			\
+		GET_REGION_BUFSIZE :  idx - strt;			\
+	 }							        \
+    } while (0)
+
+#define ITERATE_BY_REGION_PARTIAL(sx, px, idx, nb, etype, vtype,	\
+				  strt, nfull, expr) do {		\
+	const etype *px = (etype *) DATAPTR_OR_NULL(sx);		\
+	if (px != NULL) {						\
+	    R_xlen_t idx = strt;					\
+	    (void) idx; /* variable may be unused in expr */		\
+	    R_xlen_t nb = nfull;					\
+	    px += strt;							\
+	    expr							\
+	}								\
+	else ITERATE_BY_REGION_PARTIAL0(sx, px, idx, nb, etype, vtype,	\
+					strt, nfull, expr);		\
+    } while (0)
+
+#define ITERATE_BY_REGION_PARTIAL_REV(sx, px, idx, nb, etype, vtype,	\
+				      strt, nfull, expr) do {		\
+	const etype *px = (etype *) DATAPTR_OR_NULL(sx);		\
+	if (px != NULL) {						\
+	    R_xlen_t idx = strt;					\
+	    (void) idx; /* variable may be unused in expr */		\
+	    R_xlen_t nb = nfull;					\
+	    px += strt;							\
+	    expr							\
+	}								\
+	else ITERATE_BY_REGION_PARTIAL_REV0(sx, px, idx, nb, etype,	\
+					    vtype, strt, nfull, expr);	\
+    } while (0)
+
+#define ITERATE_BY_REGION(sx, px, idx, nb, etype, vtype, expr) do {	\
+	ITERATE_BY_REGION_PARTIAL(sx, px, idx, nb, etype, vtype,	\
+				  0, XLENGTH(sx), expr);		\
+    } while (0)
+
+/* probably no one was using this but it was a declared part of the API
+   so leave it in out of an overabundance of caution */
+
+#define ITERATE_BY_REGION0(sx, px, idx, nb, etype, vtype, expr) do {	\
+	ITERATE_BY_REGION_PARTIAL0(sx, px, idx, nb, etype, vtype,	\
+				  0, XLENGTH(sx), expr);		\
+    } while (0)
+
+#endif /* R_EXT_ITERMACROS_H_ */
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/include/R_ext/stats_package.h
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/include/R_ext/stats_package.h	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/include/R_ext/stats_package.h	(revision 3761)
@@ -0,0 +1,79 @@
+/*
+ *  R : A Computer Language for Statistical Data Analysis
+ *  Copyright (C) 2007--2020  The R Core Team.
+ *
+ *  This header file is free software; you can redistribute it and/or modify
+ *  it under the terms of the GNU Lesser General Public License as published by
+ *  the Free Software Foundation; either version 2.1 of the License, or
+ *  (at your option) any later version.
+ *
+ *  This file is part of R. R is distributed under the terms of the
+ *  GNU General Public License, either Version 2, June 1991 or Version 3,
+ *  June 2007. See doc/COPYRIGHTS for details of the copyright status of R.
+ *
+ *  This program is distributed in the hope that it will be useful,
+ *  but WITHOUT ANY WARRANTY; without even the implied warranty of
+ *  MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
+ *  GNU Lesser General Public License for more details.
+ *
+ *  You should have received a copy of the GNU Lesser General Public License
+ *  along with this program; if not, a copy is available at
+ *  https://www.R-project.org/Licenses/
+ */
+
+#ifndef R_STATS_PACKAGE_H
+#define R_STATS_PACKAGE_H
+#include <Rconfig.h>
+
+#ifdef HAVE_VISIBILITY_ATTRIBUTE
+# define attribute_hidden __attribute__ ((visibility ("hidden")))
+#else
+# define attribute_hidden
+#endif
+
+enum AlgType {NREG = 1, OPT = 2};
+				/* 0-based indices into v */
+enum  VPos {F = 9, F0 = 12, FDIF = 10, G = 27, HC = 70};
+				/* 0-based indices into iv */
+enum IVPos {AI = 90, AM = 94, ALGSAV = 50, COVMAT = 25,
+	    COVPRT = 13, COVREQ = 14, DRADPR = 100,
+	    DTYPE = 15, IERR = 74, INITH = 24, INITS = 24,
+	    IPIVOT = 75, IVNEED =  2, LASTIV = 42, LASTV = 44,
+	    LMAT =  41, MXFCAL = 16, MXITER = 17, NEXTV  = 46,
+	    NFCALL =  5, NFCOV = 51, NFGCAL = 6, NGCOV = 52,
+	    NITER = 30, NVDFLT = 49, NVSAVE = 8, OUTLEV = 18,
+	    PARPRT = 19, PARSAV = 48, PERM = 57, PRUNIT = 20,
+	    QRTYP = 79, RDREQ = 56, RMAT = 77, SOLPRT = 21,
+	    STATPR = 22, TOOBIG = 1, VNEED = 3, VSAVE = 59,
+	    X0PRT = 23};
+
+void attribute_hidden
+S_Rf_divset(int alg, int iv[], int liv, int lv, double v[]);
+
+void attribute_hidden
+S_nlsb_iterate(double b[], double d[], double dr[], int iv[],
+	       int liv, int lv, int n, int nd, int p,
+	       double r[], double rd[], double v[], double x[]);
+
+void attribute_hidden
+S_nlminb_iterate(double b[], double d[], double fx, double g[],
+		 double h[], int iv[], int liv, int lv, int n,
+		 double v[], double x[]);
+
+void attribute_hidden
+S_rcont2(int nrow, int ncol, const int nrowt[], const int ncolt[],
+         int ntotal, const double fact[],
+	 int jwork[], int matrix[]);
+
+static R_INLINE int S_v_length(int alg, int n)
+{
+    return (alg - 1) ? (105 + (n * (2 * n + 20))) :
+	(130 + (n * (n + 27))/2);
+}
+
+static R_INLINE int S_iv_length(int alg, int n)
+{
+    return (alg - 1) ? (82 + 4 * n) : (78 + 3 * n);
+}
+
+#endif /* R_STATS_PACKAGE_H */
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/include/R_ext/Parse.h
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/include/R_ext/Parse.h	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/include/R_ext/Parse.h	(revision 3761)
@@ -0,0 +1,47 @@
+/*
+ *  R : A Computer Language for Statistical Data Analysis
+ *  Copyright (C) 1998-2006 R Core Team
+ *
+ *  This program is free software; you can redistribute it and/or modify
+ *  it under the terms of the GNU General Public License as published by
+ *  the Free Software Foundation; either version 2 of the License, or
+ *  (at your option) any later version.
+ *
+ *  This program is distributed in the hope that it will be useful,
+ *  but WITHOUT ANY WARRANTY; without even the implied warranty of
+ *  MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
+ *  GNU General Public License for more details.
+ *
+ *  You should have received a copy of the GNU General Public License
+ *  along with this program; if not, a copy is available at
+ *  https://www.R-project.org/Licenses/
+ */
+
+/* NOTE:
+   This file exports a part of the current internal parse interface.
+   It is subject to change at any minor (x.y.0) version of R.
+ */
+
+#ifndef R_EXT_PARSE_H_
+#define R_EXT_PARSE_H_
+
+#ifdef __cplusplus
+extern "C" {
+#endif
+
+/* PARSE_NULL will not be returned by R_ParseVector */
+typedef enum {
+    PARSE_NULL,
+    PARSE_OK,
+    PARSE_INCOMPLETE,
+    PARSE_ERROR,
+    PARSE_EOF
+} ParseStatus;
+
+SEXP R_ParseVector(SEXP, int, ParseStatus *, SEXP);
+
+#ifdef __cplusplus
+}
+#endif
+
+#endif
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/include/R_ext/Rdynload.h
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/include/R_ext/Rdynload.h	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/include/R_ext/Rdynload.h	(revision 3761)
@@ -0,0 +1,114 @@
+/*
+ *  R : A Computer Language for Statistical Data Analysis
+ *  Copyright (C) 2001-2017  The R Core Team.
+ *
+ *  This header file is free software; you can redistribute it and/or modify
+ *  it under the terms of the GNU Lesser General Public License as published by
+ *  the Free Software Foundation; either version 2.1 of the License, or
+ *  (at your option) any later version.
+ *
+ *  This file is part of R. R is distributed under the terms of the
+ *  GNU General Public License, either Version 2, June 1991 or Version 3,
+ *  June 2007. See doc/COPYRIGHTS for details of the copyright status of R.
+ *
+ *  This program is distributed in the hope that it will be useful,
+ *  but WITHOUT ANY WARRANTY; without even the implied warranty of
+ *  MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
+ *  GNU Lesser General Public License for more details.
+ *
+ *  You should have received a copy of the GNU Lesser General Public License
+ *  along with this program; if not, a copy is available at
+ *  https://www.R-project.org/Licenses/
+ */
+
+/*
+  C functions used to register compiled code in packages.
+
+  Those needed for that purpose are part of the API.
+
+  Cleaned up for R 3.4.0, some changes require recompilation of packages.
+ */
+
+#ifndef  R_EXT_DYNLOAD_H_
+#define  R_EXT_DYNLOAD_H_
+
+#include <R_ext/Boolean.h>
+
+/* called with a variable argument set */
+typedef void * (*DL_FUNC)();
+
+typedef unsigned int R_NativePrimitiveArgType;
+
+/* For interfaces to objects created with as.single */
+#define SINGLESXP 302
+
+/*
+ These are very similar to those in Rdynpriv.h,
+ but we maintain them separately to give us more freedom to do
+ some computations on the internal versions that are derived from
+ these definitions.
+*/
+typedef struct {
+    const char *name;
+    DL_FUNC     fun;
+    int         numArgs;
+    R_NativePrimitiveArgType *types;
+} R_CMethodDef;
+
+typedef R_CMethodDef R_FortranMethodDef;
+
+
+typedef struct {
+    const char *name;
+    DL_FUNC     fun;
+    int         numArgs;
+} R_CallMethodDef;
+
+typedef R_CallMethodDef R_ExternalMethodDef;
+
+
+typedef struct _DllInfo DllInfo;
+
+/*
+  Currently ignore the graphics routines, accessible via .External.graphics()
+  and .Call.graphics().
+ */
+#ifdef __cplusplus
+extern "C" {
+#endif
+int R_registerRoutines(DllInfo *info, const R_CMethodDef * const croutines,
+		       const R_CallMethodDef * const callRoutines,
+		       const R_FortranMethodDef * const fortranRoutines,
+		       const R_ExternalMethodDef * const externalRoutines);
+
+Rboolean R_useDynamicSymbols(DllInfo *info, Rboolean value);
+Rboolean R_forceSymbols(DllInfo *info, Rboolean value);
+
+DllInfo *R_getDllInfo(const char *name);
+
+/* To be used by applications embedding R to register their symbols
+   that are not related to any dynamic module */
+DllInfo *R_getEmbeddingDllInfo(void);
+
+typedef struct Rf_RegisteredNativeSymbol R_RegisteredNativeSymbol;
+typedef enum {R_ANY_SYM=0, R_C_SYM, R_CALL_SYM, R_FORTRAN_SYM, R_EXTERNAL_SYM} NativeSymbolType;
+
+
+DL_FUNC R_FindSymbol(char const *, char const *,
+		       R_RegisteredNativeSymbol *symbol);
+
+
+/* Interface for exporting and importing functions from one package
+   for use from C code in a package.  The registration part probably
+   ought to be integrated with the other registrations.  The naming of
+   these routines may be less than ideal.
+*/
+
+void R_RegisterCCallable(const char *package, const char *name, DL_FUNC fptr);
+DL_FUNC R_GetCCallable(const char *package, const char *name);
+
+#ifdef __cplusplus
+}
+#endif
+
+#endif /* R_EXT_DYNLOAD_H_ */
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/include/R_ext/Constants.h
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/include/R_ext/Constants.h	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/include/R_ext/Constants.h	(revision 3761)
@@ -0,0 +1,60 @@
+/*
+ *  R : A Computer Language for Statistical Data Analysis
+ *  Copyright (C) 1995, 1996  Robert Gentleman and Ross Ihaka
+ *  Copyright (C) 1998-2022   The R Core Team.
+ *
+ *  This header file is free software; you can redistribute it and/or modify
+ *  it under the terms of the GNU Lesser General Public License as published by
+ *  the Free Software Foundation; either version 2.1 of the License, or
+ *  (at your option) any later version.
+ *
+ *  This file is part of R. R is distributed under the terms of the
+ *  GNU General Public License, either Version 2, June 1991 or Version 3,
+ *  June 2007. See doc/COPYRIGHTS for details of the copyright status of R.
+ *
+ *  This program is distributed in the hope that it will be useful,
+ *  but WITHOUT ANY WARRANTY; without even the implied warranty of
+ *  MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
+ *  GNU Lesser General Public License for more details.
+ *
+ *  You should have received a copy of the GNU Lesser General Public License
+ *  along with this program; if not, a copy is available at
+ *  https://www.R-project.org/Licenses/
+ */
+
+/* Included by R.h: API */
+
+#ifndef R_EXT_CONSTANTS_H_
+#define R_EXT_CONSTANTS_H_
+
+/* usually in math.h, but not with strict C99/C++11 compliance */
+#ifndef M_PI
+#define M_PI 3.141592653589793238462643383279502884197169399375
+#endif
+
+/*
+  S-compatibility defines.
+ */
+#ifndef STRICT_R_HEADERS
+#define PI             M_PI
+#ifdef __cplusplus
+#include <cfloat>   /* Defines the RHSs, C++11 and later */
+#else
+#include <float.h>  /* Defines the RHSs, C99 and later */
+#endif
+/*
+  The SINGLE_* defines were deprecated in R 4.1.3 and defunct in R 4.2.0.
+#define SINGLE_EPS     FLT_EPSILON
+#define SINGLE_BASE    FLT_RADIX
+#define SINGLE_XMIN    FLT_MIN
+#define SINGLE_XMAX    FLT_MAX
+*/
+
+// The DOUBLE_* defines were deprecated in R 4.2.0
+#define DOUBLE_DIGITS  DBL_MANT_DIG
+#define DOUBLE_EPS     DBL_EPSILON
+#define DOUBLE_XMAX    DBL_MAX
+#define DOUBLE_XMIN    DBL_MIN
+#endif
+
+#endif /* R_EXT_CONSTANTS_H_ */
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/include/R_ext/stats_stubs.h
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/include/R_ext/stats_stubs.h	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/include/R_ext/stats_stubs.h	(revision 3761)
@@ -0,0 +1,88 @@
+/*
+ *  R : A Computer Language for Statistical Data Analysis
+ *  Copyright (C) 2007--2020  The R Core Team.
+ *
+ *  This header file is free software; you can redistribute it and/or modify
+ *  it under the terms of the GNU Lesser General Public License as published by
+ *  the Free Software Foundation; either version 2.1 of the License, or
+ *  (at your option) any later version.
+ *
+ *  This file is part of R. R is distributed under the terms of the
+ *  GNU General Public License, either Version 2, June 1991 or Version 3,
+ *  June 2007. See doc/COPYRIGHTS for details of the copyright status of R.
+ *
+ *  This program is distributed in the hope that it will be useful,
+ *  but WITHOUT ANY WARRANTY; without even the implied warranty of
+ *  MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
+ *  GNU Lesser General Public License for more details.
+ *
+ *  You should have received a copy of the GNU Lesser General Public License
+ *  along with this program; if not, a copy is available at
+ *  https://www.R-project.org/Licenses/
+ */
+
+#include <Rconfig.h>
+#include <Rinternals.h>
+#include <R_ext/Rdynload.h>
+#include <R_ext/stats_package.h>
+
+#ifdef HAVE_VISIBILITY_ATTRIBUTE
+# define attribute_hidden __attribute__ ((visibility ("hidden")))
+#else
+# define attribute_hidden
+#endif
+
+void attribute_hidden
+S_Rf_divset(int alg, int iv[], int liv, int lv, double v[])
+{
+    static void(*fun)(int,int[],int,int,double[]) = NULL;
+    if (fun == NULL)
+	fun = (void(*)(int,int[],int,int,double[]))
+	    R_GetCCallable("stats", "Rf_divset");
+    fun(alg, iv, liv, lv, v);
+}
+
+void attribute_hidden
+S_nlminb_iterate(double b[], double d[], double fx, double g[], double h[],
+		 int iv[], int liv, int lv, int n, double v[], double x[])
+{
+    static void(*fun)(double[],double[],double,double[],double[],
+		      int[],int,int,int,double[],double[]) = NULL;
+    if (fun == NULL)
+	fun = (void(*)(double[],double[],double,double[],double[],
+			  int[],int,int,int,double[],double[]))
+	    R_GetCCallable("stats", "nlminb_iterate");
+    fun(b, d, fx, g, h, iv, liv, lv, n, v, x);
+}
+
+void attribute_hidden
+S_nlsb_iterate(double b[], double d[], double dr[], int iv[], int liv,
+	       int lv, int n, int nd, int p, double r[], double rd[],
+	       double v[], double x[])
+{
+    static void(*fun)(double[],double[],double[],int[],int,int,
+		      int,int,int,double[],double[],double[],
+		      double[]) = NULL;
+    if (fun == NULL)
+	fun = (void(*)(double[],double[],double[],int[],int,
+		       int, int,int,int,double[],
+		       double[],double[],double[]))
+	    R_GetCCallable("stats", "nlsb_iterate");
+    fun(b, d, dr, iv, liv, lv, n, nd, p, r, rd, v, x);
+}
+
+void attribute_hidden
+S_rcont2(int nrow, int ncol, const int nrowt[], const int ncolt[],
+         int ntotal, const double fact[],
+	 int jwork[], int matrix[])
+{
+// <==> ../../library/stats/src/rcont.c
+#define _RCONT_FORMALS_(_FF_)						\
+    void(_FF_)(int, int, const int[], const int[], int, const double[], \
+               int[], int[])
+
+    static _RCONT_FORMALS_(*fun) = NULL;
+    if (fun == NULL)
+	fun = (_RCONT_FORMALS_(*)) R_GetCCallable("stats", "rcont2");
+    fun(nrow, ncol, nrowt, ncolt, ntotal, fact, jwork, matrix);
+}
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/include/R_ext/Boolean.h
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/include/R_ext/Boolean.h	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/include/R_ext/Boolean.h	(revision 3761)
@@ -0,0 +1,41 @@
+/*
+ *  R : A Computer Language for Statistical Data Analysis
+ *  Copyright (C) 2000, 2001 The R Core Team.
+ *
+ *  This header file is free software; you can redistribute it and/or modify
+ *  it under the terms of the GNU Lesser General Public License as published by
+ *  the Free Software Foundation; either version 2.1 of the License, or
+ *  (at your option) any later version.
+ *
+ *  This file is part of R. R is distributed under the terms of the
+ *  GNU General Public License, either Version 2, June 1991 or Version 3,
+ *  June 2007. See doc/COPYRIGHTS for details of the copyright status of R.
+ *
+ *  This program is distributed in the hope that it will be useful,
+ *  but WITHOUT ANY WARRANTY; without even the implied warranty of
+ *  MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
+ *  GNU Lesser General Public License for more details.
+ *
+ *  You should have received a copy of the GNU Lesser General Public License
+ *  along with this program; if not, a copy is available at
+ *  https://www.R-project.org/Licenses/
+ */
+
+/* Included by R.h: API */
+
+#ifndef R_EXT_BOOLEAN_H_
+#define R_EXT_BOOLEAN_H_
+
+#undef FALSE
+#undef TRUE
+
+#ifdef  __cplusplus
+extern "C" {
+#endif
+typedef enum { FALSE = 0, TRUE /*, MAYBE */ } Rboolean;
+
+#ifdef  __cplusplus
+}
+#endif
+
+#endif /* R_EXT_BOOLEAN_H_ */
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/include/R_ext/Callbacks.h
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/include/R_ext/Callbacks.h	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/include/R_ext/Callbacks.h	(revision 3761)
@@ -0,0 +1,119 @@
+/*
+ *  R : A Computer Language for Statistical Data Analysis
+ *  Copyright (C) 2001-2020 The R Core Team.
+ *
+ *  This header file is free software; you can redistribute it and/or modify
+ *  it under the terms of the GNU Lesser General Public License as published by
+ *  the Free Software Foundation; either version 2.1 of the License, or
+ *  (at your option) any later version.
+ *
+ *  This file is part of R. R is distributed under the terms of the
+ *  GNU General Public License, either Version 2, June 1991 or Version 3,
+ *  June 2007. See doc/COPYRIGHTS for details of the copyright status of R.
+ *
+ *  This program is distributed in the hope that it will be useful,
+ *  but WITHOUT ANY WARRANTY; without even the implied warranty of
+ *  MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
+ *  GNU Lesser General Public License for more details.
+ *
+ *  You should have received a copy of the GNU Lesser General Public License
+ *  along with this program; if not, a copy is available at
+ *  https://www.R-project.org/Licenses/
+ */
+
+/* 
+   Not part of the API, subject to change at any time.
+*/
+
+#ifndef R_CALLBACKS_H
+#define R_CALLBACKS_H
+
+/**
+  These structures are for C (and R function) top-level task handlers.
+  Such routines are called at the end of every (successful) top-level task
+  in the regular REPL. 
+ */
+
+#include <Rinternals.h>
+/**
+  The signature of the C routine that a callback must implement.
+  expr - the expression for the top-level task that was evaluated.
+  value - the result of the top-level task, i.e. evaluating expr.
+  succeeded - a logical value indicating whether the task completed propertly.
+  visible - a logical value indicating whether the result was printed to the R ``console''/stdout.
+  data - user-level data passed to the registration routine.
+ */
+typedef Rboolean (*R_ToplevelCallback)(SEXP expr, SEXP value, Rboolean succeeded, Rboolean visible, void *);
+
+typedef struct _ToplevelCallback  R_ToplevelCallbackEl;
+/** 
+ Linked list element for storing the top-level task callbacks.
+ */
+struct _ToplevelCallback {
+    R_ToplevelCallback cb; /* the C routine to call. */
+    void *data;            /* the user-level data to pass to the call to cb() */
+    void (*finalizer)(void *data); /* Called when the callback is removed. */
+
+    char *name;  /* a name by which to identify this element. */ 
+
+    R_ToplevelCallbackEl *next; /* the next element in the linked list. */
+};
+
+#ifdef __cplusplus
+extern "C" {
+#endif
+
+Rboolean Rf_removeTaskCallbackByIndex(int id);
+Rboolean Rf_removeTaskCallbackByName(const char *name);
+SEXP R_removeTaskCallback(SEXP which);
+R_ToplevelCallbackEl* Rf_addTaskCallback(R_ToplevelCallback cb, void *data, void (*finalizer)(void *), const char *name, int *pos);
+
+
+
+/*
+  The following definitions are for callbacks to R functions and
+  methods related to user-level tables.  This was implemented in a
+  separate package formerly available from Omegahat and these
+  declarations allow the package to interface to the internal R code.
+  
+  See https://developer.r-project.org/RObjectTables.pdf.
+*/
+
+typedef struct  _R_ObjectTable R_ObjectTable;
+
+/* Do we actually need the exists() since it is never called but R
+   uses get to see if the symbol is bound to anything? */
+typedef Rboolean (*Rdb_exists)(const char * const name, Rboolean *canCache, R_ObjectTable *);
+typedef SEXP     (*Rdb_get)(const char * const name, Rboolean *canCache, R_ObjectTable *);
+typedef int      (*Rdb_remove)(const char * const name, R_ObjectTable *);
+typedef SEXP     (*Rdb_assign)(const char * const name, SEXP value, R_ObjectTable *);
+typedef SEXP     (*Rdb_objects)(R_ObjectTable *);
+typedef Rboolean (*Rdb_canCache)(const char * const name, R_ObjectTable *);
+
+typedef void     (*Rdb_onDetach)(R_ObjectTable *);
+typedef void     (*Rdb_onAttach)(R_ObjectTable *);
+
+struct  _R_ObjectTable{
+  int       type;
+  char    **cachedNames;
+  Rboolean  active;
+
+  Rdb_exists   exists;
+  Rdb_get      get;
+  Rdb_remove   remove;
+  Rdb_assign   assign;
+  Rdb_objects  objects;
+  Rdb_canCache canCache;
+
+  Rdb_onDetach onDetach;
+  Rdb_onAttach onAttach;
+  
+  void     *privateData;
+};
+
+
+#ifdef __cplusplus
+}
+#endif
+
+#endif /* R_CALLBACKS_H */
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/include/R_ext/Random.h
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/include/R_ext/Random.h	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/include/R_ext/Random.h	(revision 3761)
@@ -0,0 +1,84 @@
+/*
+ *  R : A Computer Language for Statistical Data Analysis
+ *  Copyright (C) 1998-2022    The R Core Team
+ *
+ *  This header file is free software; you can redistribute it and/or modify
+ *  it under the terms of the GNU Lesser General Public License as published by
+ *  the Free Software Foundation; either version 2.1 of the License, or
+ *  (at your option) any later version.
+ *
+ *  This file is part of R. R is distributed under the terms of the
+ *  GNU General Public License, either Version 2, June 1991 or Version 3,
+ *  June 2007. See doc/COPYRIGHTS for details of the copyright status of R.
+ *
+ *  This program is distributed in the hope that it will be useful,
+ *  but WITHOUT ANY WARRANTY; without even the implied warranty of
+ *  MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
+ *  GNU Lesser General Public License for more details.
+ *
+ *  You should have received a copy of the GNU Lesser General Public License
+ *  along with this program; if not, a copy is available at
+ *  https://www.R-project.org/Licenses/
+ */
+
+/* Included by R.h: API */
+
+#ifndef R_RANDOM_H
+#define R_RANDOM_H
+
+#include <R_ext/Boolean.h>
+
+#ifdef  __cplusplus
+extern "C" {
+#endif
+
+typedef enum {
+    WICHMANN_HILL,
+    MARSAGLIA_MULTICARRY,
+    SUPER_DUPER,
+    MERSENNE_TWISTER,
+    KNUTH_TAOCP,
+    USER_UNIF,
+    KNUTH_TAOCP2,
+    LECUYER_CMRG
+} RNGtype;
+
+/* Different kinds of "N(0,1)" generators :*/
+typedef enum {
+    BUGGY_KINDERMAN_RAMAGE,
+    AHRENS_DIETER,
+    BOX_MULLER,
+    USER_NORM,
+    INVERSION,
+    KINDERMAN_RAMAGE
+} N01type;
+
+/* Different ways to generate discrete uniform samples */
+typedef enum {
+    ROUNDING,
+    REJECTION
+} Sampletype;
+Sampletype R_sample_kind(void);
+
+void GetRNGstate(void);
+void PutRNGstate(void);
+
+double unif_rand(void);
+double R_unif_index(double);
+/* These are also defined in Rmath.h */
+double norm_rand(void);
+double exp_rand(void);
+
+typedef unsigned int Int32;
+double * user_unif_rand(void);
+void user_unif_init(Int32);
+int * user_unif_nseed(void);
+int * user_unif_seedloc(void);
+
+double * user_norm_rand(void);
+
+#ifdef  __cplusplus
+}
+#endif
+
+#endif /* R_RANDOM_H */
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/include/R_ext/GraphicsDevice.h
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/include/R_ext/GraphicsDevice.h	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/include/R_ext/GraphicsDevice.h	(revision 3761)
@@ -0,0 +1,989 @@
+/*
+ *  R : A Computer Language for Statistical Data Analysis
+ *  Copyright (C) 2001-11 The R Core Team.
+ *
+ *  This header file is free software; you can redistribute it and/or modify
+ *  it under the terms of the GNU Lesser General Public License as published by
+ *  the Free Software Foundation; either version 2.1 of the License, or
+ *  (at your option) any later version.
+ *
+ *  This file is part of R. R is distributed under the terms of the
+ *  GNU General Public License, either Version 2, June 1991 or Version 3,
+ *  June 2007. See doc/COPYRIGHTS for details of the copyright status of R.
+ *
+ *  This program is distributed in the hope that it will be useful,
+ *  but WITHOUT ANY WARRANTY; without even the implied warranty of
+ *  MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
+ *  GNU Lesser General Public License for more details.
+ *
+ *  You should have received a copy of the GNU Lesser General Public License
+ *  along with this program; if not, a copy is available at
+ *  https://www.R-project.org/Licenses/
+ */
+
+/* Used by third-party graphics devices.
+ *
+ * This defines DevDesc, whereas GraphicsEngine.h defines GEDevDesc.
+ * Also contains entry points from gevents.c
+ */
+
+#ifndef R_GRAPHICSDEVICE_H_
+#define R_GRAPHICSDEVICE_H_
+
+
+/* ideally we would use prototypes in DevDesc.  
+   Some devices have taken to passing pointers to their own structure
+   instead of DevDesc* , defining R_USE_PROTOTYPES 0 allows them to
+   opt out.
+*/
+
+#ifndef  R_USE_PROTOTYPES
+# define R_USE_PROTOTYPES 1
+# ifndef R_GRAPHICSENGINE_H_
+#  error R_ext/GraphicsEngine.h must be included first, and includes this header
+# endif
+#endif
+
+#include <R_ext/Boolean.h>
+
+#ifdef __cplusplus
+extern "C" {
+#endif
+
+/* --------- New (in 1.4.0) device driver structure ---------
+ * NOTES:
+ * 1. All locations and dimensions are in device coordinates.
+ * 2. I found this comment in the doc for dev_Open -- looks nasty
+ *    Any known instances of such a thing happening?  Should be
+ *    replaced by a function to query the device for preferred gpars
+ *    settings? (to be called when the device is initialised)
+         *
+         * NOTE that it is perfectly acceptable for this
+         * function to set generic graphics parameters too
+         * (i.e., override the generic parameter settings
+         * which GInit sets up) all at the author's own risk
+         * of course :)
+	 *
+ * 3. Do we really need dev_StrWidth as well as dev_MetricInfo?
+ *    I can see the difference between the two -- its just a
+ *    question of whether dev_MetricInfo should just return
+ *    what dev_StrWidth would give if font metric information is
+ *    not available.  I guess having both allows the developer
+ *    to decide when to ask for which sort of value, and to decide
+ *    what to do when font metric information is not available.
+ *    And why not a dev_StrHeight?
+ * 4. Should "ipr", "asp", and "cra" be in the device description?
+ *    If not, then where?
+ *    I guess they don't need to be if no device makes use of them.
+ *    On the other hand, they would need to be replaced by a device
+ *    call that R base graphics could use to get enough information
+ *    to figure them out.  (e.g., some sort of dpi() function to
+ *    complement the size() function.)
+ */
+
+typedef struct _DevDesc DevDesc;
+typedef DevDesc* pDevDesc;
+
+struct _DevDesc {
+    /********************************************************
+     * Device physical characteristics
+     ********************************************************/
+    double left;	        /* left raster coordinate */
+    double right;	        /* right raster coordinate */
+    double bottom;	        /* bottom raster coordinate */
+    double top;		        /* top raster coordinate */
+    /* R only has the notion of a rectangular clipping region
+     */
+    double clipLeft;
+    double clipRight;
+    double clipBottom;
+    double clipTop;
+    /* I hate these next three -- they seem like a real fudge
+     * BUT I'm not sure what to replace them with so they stay for now.
+     */
+    double xCharOffset;	        /* x character addressing offset - unused */
+    double yCharOffset;	        /* y character addressing offset */
+    double yLineBias;	        /* 1/2 interline space as frac of line height */
+    double ipr[2];	        /* Inches per raster; [0]=x, [1]=y */
+    /* I hate this guy too -- seems to assume that a device can only
+     * have one font size during its lifetime
+     * BUT removing/replacing it would take quite a lot of work
+     * to design and insert a good replacement so it stays for now.
+     */
+    double cra[2];	        /* Character size in rasters; [0]=x, [1]=y */
+    double gamma;	        /* (initial) Device Gamma Correction */
+    /********************************************************
+     * Device capabilities
+     ********************************************************/
+    Rboolean canClip;		/* Device-level clipping */
+    Rboolean canChangeGamma;    /* can the gamma factor be modified? */
+    int canHAdj;	        /* Can do at least some horiz adjust of text
+			           0 = none, 1 = {0,0.5,1}, 2 = [0,1] */
+    /********************************************************
+     * Device initial settings
+     ********************************************************/
+    /* These are things that the device must set up when it is created.
+     * The graphics system can modify them and track current values,
+     */
+    double startps;
+    int startcol;  /* sets par("fg"), par("col") and gpar("col") */
+    int startfill; /* sets par("bg") and gpar("fill") */
+    int startlty;
+    int startfont;
+    double startgamma;
+    /********************************************************
+     * Device specific information
+     ********************************************************/
+    void *deviceSpecific;	/* pointer to device specific parameters */
+    /********************************************************
+     * Device display list
+     ********************************************************/
+    Rboolean displayListOn;     /* toggle for initial display list status */
+
+
+    /********************************************************
+     * Event handling entries
+     ********************************************************/
+
+    /* Used in do_setGraphicsEventEnv */
+
+    Rboolean canGenMouseDown; /* can the device generate mousedown events */
+    Rboolean canGenMouseMove; /* can the device generate mousemove events */
+    Rboolean canGenMouseUp;   /* can the device generate mouseup events */
+    Rboolean canGenKeybd;     /* can the device generate keyboard events */
+    Rboolean canGenIdle;      /* can the device generate idle events */
+ 
+    Rboolean gettingEvent;    /* This is set while getGraphicsEvent
+				 is actively looking for events */
+    
+    /********************************************************
+     * Device procedures.
+     ********************************************************/
+
+    /*
+     * ---------------------------------------
+     * GENERAL COMMENT ON GRAPHICS PARAMETERS:
+     * ---------------------------------------
+     * Graphical parameters are now passed in a pointer to a 
+     * graphics context structure (pGEcontext) rather than individually.
+     * Each device action should extract the parameters it needs
+     * and ignore the others.  Thought should be given to which
+     * parameters are relevant in each case -- the graphics engine
+     * does not REQUIRE that each parameter is honoured, but if
+     * a parameter is NOT honoured, it might be a good idea to
+     * issue a warning when a parameter is not honoured (or at
+     * the very least document which parameters are not honoured
+     * in the user-level documentation for the device).  [An example
+     * of a parameter that may not be honoured by many devices is
+     * transparency.]
+     */
+
+    /*
+     * device_Activate is called when a device becomes the
+     * active device.  For example, it can be used to change the
+     * title of a window to indicate the active status of
+     * the device to the user.  Not all device types will
+     * do anything.
+     * The only parameter is a device driver structure.
+     * An example is ...
+     *
+     * static void   X11_Activate(pDevDesc dd);
+     *
+     * As from R 2.14.0 this can be omitted or set to NULL.
+     */
+#if R_USE_PROTOTYPES
+    void (*activate)(const pDevDesc );
+#else
+    void (*activate)();
+#endif
+    /*
+     * device_Circle should have the side-effect that a
+     * circle is drawn, centred at the given location, with
+     * the given radius.
+     * (If the device has non-square pixels, 'radius' should
+     * be interpreted in the units of the x direction.)
+     * The border of the circle should be
+     * drawn in the given "col", and the circle should be
+     * filled with the given "fill" colour.
+     * If "col" is NA_INTEGER then no border should be drawn
+     * If "fill" is NA_INTEGER then the circle should not
+     * be filled.
+     * An example is ...
+     *
+     * static void X11_Circle(double x, double y, double r,
+     *                        pGEcontext gc,
+     *                        pDevDesc dd);
+     *
+     * R_GE_gcontext parameters that should be honoured (if possible):
+     *   col, fill, gamma, lty, lwd
+     */
+#if R_USE_PROTOTYPES
+    void (*circle)(double x, double y, double r, const pGEcontext gc, pDevDesc dd);
+#else
+    void (*circle)();
+#endif
+    /*
+     * device_Clip is given the left, right, bottom, and
+     * top of a rectangle (in DEVICE coordinates).
+     * It should have the side-effect that subsequent output
+     * is clipped to the given rectangle.
+     * NOTE that R's graphics engine already clips to the
+     * extent of the device.
+     * NOTE also that this will probably only be called if
+     * the flag canClip is true.
+     * An example is ...
+     *
+     * static void X11_Clip(double x0, double x1, double y0, double y1,
+     *                      pDevDesc dd)
+     */
+#if R_USE_PROTOTYPES
+    void (*clip)(double x0, double x1, double y0, double y1, pDevDesc dd);
+#else
+    void (*clip)();
+#endif
+    /*
+     * device_Close is called when the device is killed.
+     * This function is responsible for destroying any
+     * device-specific resources that were created in
+     * device_Open and for FREEing the device-specific
+     * parameters structure.
+     * An example is ...
+     *
+     * static void X11_Close(pDevDesc dd)
+     *
+     */
+#if R_USE_PROTOTYPES
+    void (*close)(pDevDesc dd);
+#else
+    void (*close)();
+#endif
+    /*
+     * device_Deactivate is called when a device becomes
+     * inactive.
+     * This allows the device to undo anything it did in
+     * dev_Activate.
+     * Not all device types will do anything.
+     * An example is ...
+     *
+     * static void X11_Deactivate(pDevDesc dd)
+     *
+     * As from R 2.14.0 this can be omitted or set to NULL.
+     */
+#if R_USE_PROTOTYPES
+    void (*deactivate)(pDevDesc );
+#else
+    void (*deactivate)();
+#endif
+
+
+    /*
+     * device_Locator should return the location of the next
+     * mouse click (in DEVICE coordinates)
+     * Not all devices will do anything (e.g., postscript)
+     * An example is ...
+     *
+     * static Rboolean X11_Locator(double *x, double *y, pDevDesc dd)
+     *
+     * As from R 2.14.0 this can be omitted or set to NULL.
+     */
+#if R_USE_PROTOTYPES
+    Rboolean (*locator)(double *x, double *y, pDevDesc dd);
+#else
+    Rboolean (*locator)();
+#endif
+    /*
+     * device_Line should have the side-effect that a single
+     * line is drawn (from x1,y1 to x2,y2)
+     * An example is ...
+     *
+     * static void X11_Line(double x1, double y1, double x2, double y2,
+     *                      const pGEcontext gc,
+     *                      pDevDesc dd);
+     *
+     * R_GE_gcontext parameters that should be honoured (if possible):
+     *   col, gamma, lty, lwd
+     */
+#if R_USE_PROTOTYPES
+    void (*line)(double x1, double y1, double x2, double y2,
+		 const pGEcontext gc, pDevDesc dd);
+#else
+    void (*line)();
+#endif
+    /*
+     * device_MetricInfo should return height, depth, and
+     * width information for the given character in DEVICE
+     * units.
+     * Note: in an 8-bit locale, c is 'char'.
+     * In an mbcslocale, it is wchar_t, and at least some
+     * of code assumes that is UCS-2 (Windows, true) or UCS-4.
+     * This is used for formatting mathematical expressions
+     * and for exact centering of text (see GText)
+     * If the device cannot provide metric information then
+     * it MUST return 0.0 for ascent, descent, and width.
+     * An example is ...
+     *
+     * static void X11_MetricInfo(int c,
+     *                            const pGEcontext gc,
+     *                            double* ascent, double* descent,
+     *                            double* width, pDevDesc dd);
+     *
+     * R_GE_gcontext parameters that should be honoured (if possible):
+     *   font, cex, ps
+     */
+#if R_USE_PROTOTYPES
+    void (*metricInfo)(int c, const pGEcontext gc,
+		       double* ascent, double* descent, double* width,
+		       pDevDesc dd);
+#else
+    void (*metricInfo)();
+#endif
+    /*
+     * device_Mode is called whenever the graphics engine
+     * starts drawing (mode=1) or stops drawing (mode=0)
+     * GMode (in graphics.c) also says that 
+     * mode = 2 (graphical input on) exists.
+     * The device is not required to do anything
+     * An example is ...
+     *
+     * static void X11_Mode(int mode, pDevDesc dd);
+     *
+     * As from R 2.14.0 this can be omitted or set to NULL.
+     */
+#if R_USE_PROTOTYPES
+    void (*mode)(int mode, pDevDesc dd);
+#else
+    void (*mode)();
+#endif
+    /*
+     * device_NewPage is called whenever a new plot requires
+     * a new page.
+     * A new page might mean just clearing the
+     * device (e.g., X11) or moving to a new page
+     * (e.g., postscript)
+     * The background of the new page should be filled with gc->fill
+     * (if that is opaque).
+     * An example is ...
+     *
+     * static void X11_NewPage(const pGEcontext gc,
+     *                         pDevDesc dd);
+     *
+     */
+#if R_USE_PROTOTYPES
+    void (*newPage)(const pGEcontext gc, pDevDesc dd);
+#else
+    void (*newPage)();
+#endif
+    /*
+     * device_Polygon should have the side-effect that a
+     * polygon is drawn using the given x and y values
+     * the polygon border should be drawn in the "col"
+     * colour and filled with the "fill" colour.
+     * If "col" is NA_INTEGER don't draw the border
+     * If "fill" is NA_INTEGER don't fill the polygon
+     * An example is ...
+     *
+     * static void X11_Polygon(int n, double *x, double *y,
+     *                         const pGEcontext gc,
+     *                         pDevDesc dd);
+     *
+     * R_GE_gcontext parameters that should be honoured (if possible):
+     *   col, fill, gamma, lty, lwd
+     */
+#if R_USE_PROTOTYPES
+    void (*polygon)(int n, double *x, double *y, const pGEcontext gc, pDevDesc dd);
+#else
+    void (*polygon)();
+#endif
+    /*
+     * device_Polyline should have the side-effect that a
+     * series of line segments are drawn using the given x
+     * and y values.
+     * An example is ...
+     *
+     * static void X11_Polyline(int n, double *x, double *y,
+     *                          const pGEcontext gc,
+     *                          pDevDesc dd);
+     *
+     * R_GE_gcontext parameters that should be honoured (if possible):
+     *   col, gamma, lty, lwd
+     */
+#if R_USE_PROTOTYPES
+    void (*polyline)(int n, double *x, double *y, const pGEcontext gc, pDevDesc dd);
+#else
+    void (*polyline)();
+#endif
+    /*
+     * device_Rect should have the side-effect that a
+     * rectangle is drawn with the given locations for its
+     * opposite corners.  The border of the rectangle
+     * should be in the given "col" colour and the rectangle
+     * should be filled with the given "fill" colour.
+     * If "col" is NA_INTEGER then no border should be drawn
+     * If "fill" is NA_INTEGER then the rectangle should not
+     * be filled.
+     * An example is ...
+     *
+     * static void X11_Rect(double x0, double y0, double x1, double y1,
+     *                      const pGEcontext gc,
+     *                      pDevDesc dd);
+     *
+     */
+#if R_USE_PROTOTYPES
+    void (*rect)(double x0, double y0, double x1, double y1,
+		 const pGEcontext gc, pDevDesc dd);
+#else
+    void (*rect)();
+#endif
+    /* 
+     * device_Path should draw one or more sets of points 
+     * as a single path
+     * 
+     * 'x' and 'y' give the points
+     *
+     * 'npoly' gives the number of polygons in the path
+     * MUST be at least 1
+     *
+     * 'nper' gives the number of points in each polygon
+     * each value MUST be at least 2
+     *
+     * 'winding' says whether to fill using the nonzero 
+     * winding rule or the even-odd rule
+     *
+     * Added 2010-06-27
+     *
+     * As from R 2.13.2 this can be left unimplemented as NULL.
+     */
+#if R_USE_PROTOTYPES
+    void (*path)(double *x, double *y, 
+                 int npoly, int *nper,
+                 Rboolean winding,
+                 const pGEcontext gc, pDevDesc dd);
+#else
+    void (*path)();
+#endif
+    /* 
+     * device_Raster should draw a raster image justified 
+     * at the given location,
+     * size, and rotation (not all devices may be able to rotate?)
+     * 
+     * 'raster' gives the image data BY ROW, with every four bytes
+     * giving one R colour (ABGR).
+     *
+     * 'x and 'y' give the bottom-left corner.
+     *
+     * 'rot' is in degrees (as per device_Text), with positive
+     * rotation anticlockwise from the positive x-axis.
+     *
+     * As from R 2.13.2 this can be left unimplemented as NULL.
+     */
+#if R_USE_PROTOTYPES
+    void (*raster)(unsigned int *raster, int w, int h,
+                   double x, double y, 
+                   double width, double height,
+                   double rot, 
+                   Rboolean interpolate,
+                   const pGEcontext gc, pDevDesc dd);
+#else
+    void (*raster)();
+#endif
+    /* 
+     * device_Cap should return an integer matrix (R colors)
+     * representing the current contents of the device display.
+     * 
+     * The result is expected to be ROW FIRST.
+     *
+     * This will only make sense for raster devices and can 
+     * probably only be implemented for screen devices.
+     *
+     * added 2010-06-27
+     *
+     * As from R 2.13.2 this can be left unimplemented as NULL.
+     * For earlier versions of R it should return R_NilValue.
+     */
+#if R_USE_PROTOTYPES
+    SEXP (*cap)(pDevDesc dd);
+#else
+    SEXP (*cap)();
+#endif
+    /*
+     * device_Size is called whenever the device is
+     * resized.
+     * The function returns (left, right, bottom, and top) for the
+     * new device size.
+     * This is not usually called directly by the graphics
+     * engine because the detection of device resizes
+     * (e.g., a window resize) are usually detected by
+     * device-specific code.
+     * An example is ...
+     *
+     * static void X11_Size(double *left, double *right,
+     *                      double *bottom, double *top,
+     *                      pDevDesc dd);
+     *
+     * R_GE_gcontext parameters that should be honoured (if possible):
+     *   col, fill, gamma, lty, lwd
+     *
+     * As from R 2.13.2 this can be left unimplemented as NULL.
+     */
+#if R_USE_PROTOTYPES
+    void (*size)(double *left, double *right, double *bottom, double *top,
+		 pDevDesc dd);
+#else
+    void (*size)();
+#endif
+    /*
+     * device_StrWidth should return the width of the given
+     * string in DEVICE units.
+     * An example is ...
+     *
+     * static double X11_StrWidth(const char *str,
+     *                            const pGEcontext gc,
+     *                            pDevDesc dd)
+     *
+     * R_GE_gcontext parameters that should be honoured (if possible):
+     *   font, cex, ps
+     */
+#if R_USE_PROTOTYPES
+    double (*strWidth)(const char *str, const pGEcontext gc, pDevDesc dd);
+#else
+    double (*strWidth)();
+#endif
+    /*
+     * device_Text should have the side-effect that the
+     * given text is drawn at the given location.
+     * The text should be rotated according to rot (degrees)
+     * An example is ...
+     *
+     * static void X11_Text(double x, double y, const char *str,
+     *                      double rot, double hadj,
+     *                      const pGEcontext gc,
+     * 	                    pDevDesc dd);
+     *
+     * R_GE_gcontext parameters that should be honoured (if possible):
+     *   font, cex, ps, col, gamma
+     */
+#if R_USE_PROTOTYPES
+    void (*text)(double x, double y, const char *str, double rot,
+		 double hadj, const pGEcontext gc, pDevDesc dd);
+#else
+    void (*text)();
+#endif
+    /*
+     * device_onExit is called by GEonExit when the user has aborted
+     * some operation, and so an R_ProcessEvents call may not return normally.
+     * It need not be set to any value; if null, it will not be called.
+     *
+     * An example is ...
+     *
+     * static void GA_onExit(pDevDesc dd);
+    */
+#if R_USE_PROTOTYPES
+    void (*onExit)(pDevDesc dd);
+#else
+    void (*onExit)();
+#endif
+    /*
+     * device_getEvent is no longer used, but the slot is kept for back
+     * compatibility of the structure.
+     */
+    SEXP (*getEvent)(SEXP, const char *);
+
+    /* --------- Optional features introduced in 2.7.0 --------- */
+
+    /* Does the device have a device-specific way to confirm a 
+       new frame (for e.g. par(ask=TRUE))?
+       This should be NULL if it does not.
+       If it does, it returns TRUE if the device handled this, and
+       FALSE if it wants the engine to do so. 
+
+       There is an example in the windows() device.
+
+       Can be left unimplemented as NULL.
+    */
+#if R_USE_PROTOTYPES
+    Rboolean (*newFrameConfirm)(pDevDesc dd);
+#else
+    Rboolean (*newFrameConfirm)();
+#endif
+
+    /* Some devices can plot UTF-8 text directly without converting
+       to the native encoding, e.g. windows(), quartz() ....
+
+       If this flag is true, all text *not in the symbol font* is sent
+       in UTF8 to the textUTF8/strWidthUTF8 entry points.
+
+       If the flag is TRUE, the metricInfo entry point should
+       accept negative values for 'c' and treat them as indicating
+       Unicode points (as well as positive values in a MBCS locale).
+    */
+    Rboolean hasTextUTF8; /* and strWidthUTF8 */
+#if R_USE_PROTOTYPES
+    void (*textUTF8)(double x, double y, const char *str, double rot,
+		     double hadj, const pGEcontext gc, pDevDesc dd);
+    double (*strWidthUTF8)(const char *str, const pGEcontext gc, pDevDesc dd);
+#else
+    void (*textUTF8)();
+    double (*strWidthUTF8)();
+#endif
+    Rboolean wantSymbolUTF8;
+
+    /* Is rotated text good enough to be preferable to Hershey in
+       contour labels?  Old default was FALSE.
+    */
+    Rboolean useRotatedTextInContour;
+
+    /* --------- Post-2.7.0 features --------- */
+
+    /* Added in 2.12.0:  Changed graphics event handling. */
+    
+    SEXP eventEnv;   /* This is an environment holding event handlers. */
+    /*
+     * eventHelper(dd, 1) is called by do_getGraphicsEvent before looking for a 
+     * graphics event.  It will then call R_ProcessEvents() and eventHelper(dd, 2)
+     * until this or another device returns sets a non-null result value in eventEnv,
+     * at which time eventHelper(dd, 0) will be called.
+     * 
+     * An example is ...
+     *
+     * static SEXP GA_eventHelper(pDevDesc dd, int code);
+
+     * Can be left unimplemented as NULL
+     */
+#if R_USE_PROTOTYPES
+    void (*eventHelper)(pDevDesc dd, int code);
+#else
+    void (*eventHelper)();
+#endif
+
+    /* added in 2.14.0, only used by screen devices.
+
+       Allows graphics devices to have multiple levels of suspension: 
+       when this reaches zero output is flushed.
+
+       Can be left unimplemented as NULL.
+     */
+#if R_USE_PROTOTYPES
+    int (*holdflush)(pDevDesc dd, int level);
+#else
+    int (*holdflush)();
+#endif
+
+    /* added in 2.14.0, for dev.capabilities.
+       In all cases 0 means NA (unset).
+    */
+    int haveTransparency; /* 1 = no, 2 = yes */
+    int haveTransparentBg; /* 1 = no, 2 = fully, 3 = semi */
+    int haveRaster; /* 1 = no, 2 = yes, 3 = except for missing values */
+    int haveCapture, haveLocator;  /* 1 = no, 2 = yes */
+
+#if R_USE_PROTOTYPES
+    SEXP (*setPattern)(SEXP pattern, pDevDesc dd);
+#else
+    SEXP (*setPattern)();
+#endif
+
+#if R_USE_PROTOTYPES
+    void (*releasePattern)(SEXP ref, pDevDesc dd);
+#else
+    void (*releasePattern)();
+#endif
+
+#if R_USE_PROTOTYPES
+    SEXP (*setClipPath)(SEXP path, SEXP ref, pDevDesc dd);
+#else
+    SEXP (*setClipPath)();
+#endif
+
+#if R_USE_PROTOTYPES
+    void (*releaseClipPath)(SEXP ref, pDevDesc dd);
+#else
+    void (*releaseClipPath)();
+#endif
+
+#if R_USE_PROTOTYPES
+    SEXP (*setMask)(SEXP path, SEXP ref, pDevDesc dd);
+#else
+    SEXP (*setMask)();
+#endif
+
+#if R_USE_PROTOTYPES
+    void (*releaseMask)(SEXP ref, pDevDesc dd);
+#else
+    void (*releaseMask)();
+#endif
+
+    /* This should match R_GE_version,
+     * BUT it does not have to.
+     * It give the graphics engine a chance to work with 
+     * graphics device packages BEFORE they update to 
+     * changes in R_GE_version.
+     */
+    int deviceVersion;
+
+    /* This can be used to OVERRIDE canClip so that graphics engine
+     * leaves ALL clipping to the graphics device 
+     */
+    Rboolean deviceClip;
+
+    /* Define a group of shapes that will be drawn together.
+     * 
+     * 'source' is an R function that draws something.
+     * 'op' is the composition operator applied when drawing 'group'.
+     *     (this must be R_GE_compositeOver or one of its ilk;
+     *      see GraphicsEngine.h).
+     * 'destination' is either NULL or an R function that draws something.
+     * 'name' is a string that can be used to identify the group on the device.
+     * 
+     * 'destination' is drawn first (using the "over" compositing operator), 
+     * then 'source' is drawn using the 'op' compositing operator.
+     * 
+     * The return value is a "reference" to the group that only has to 
+     * make sense to the device; it is sent back in via useGroup().
+     */
+#if R_USE_PROTOTYPES
+    SEXP (*defineGroup)(SEXP source, int op, SEXP destination, pDevDesc dd);
+#else
+    SEXP (*defineGroup)();
+#endif
+    /* Render a group of shapes that has previously been defined.
+     * If the group identified by 'ref' does not exist on the device, 
+     * do nothing.
+     *
+     * 'trans' is a transformation matrix or NULL (which means do not transform)
+     */
+#if R_USE_PROTOTYPES
+    void (*useGroup)(SEXP ref, SEXP trans, pDevDesc dd);
+#else
+    void (*useGroup)();
+#endif
+    /* An opportunity for the device to "release" (e.g., the memory 
+     * associated with) a group definition.
+     */
+#if R_USE_PROTOTYPES
+    void (*releaseGroup)(SEXP ref, pDevDesc dd);
+#else
+    void (*releaseGroup)();
+#endif
+
+    /* Draw (stroke or fill) a path,
+     * where the path is defined by an R function that draws something
+     */
+#if R_USE_PROTOTYPES
+    void (*stroke)(SEXP path, const pGEcontext gc, pDevDesc dd);
+#else
+    void (*stroke)();
+#endif
+#if R_USE_PROTOTYPES
+    void (*fill)(SEXP path, int rule, const pGEcontext gc, pDevDesc dd);
+#else
+    void (*fill)();
+#endif
+#if R_USE_PROTOTYPES
+    void (*fillStroke)(SEXP path, int rule, const pGEcontext gc, pDevDesc dd);
+#else
+    void (*fillStroke)();
+#endif
+#if R_USE_PROTOTYPES
+    SEXP (*capabilities)(SEXP cap);
+#else
+    SEXP (*capabilities)();
+#endif
+
+    /* Area for future expansion.
+       By zeroing this, devices are more likely to work if loaded
+       into a later version of R than that they were compiled under.
+    */
+    char reserved[64];
+};
+
+
+	/********************************************************/
+	/* the device-driver entry point is given a device	*/
+	/* description structure that it must set up.  this	*/
+	/* involves several important jobs ...			*/
+	/* (1) it must ALLOCATE a new device-specific parameters*/
+	/* structure and FREE that structure if anything goes	*/
+	/* wrong (i.e., it won't report a successful setup to	*/
+	/* the graphics engine (the graphics engine is NOT	*/
+	/* responsible for allocating or freeing device-specific*/
+	/* resources or parameters)				*/
+	/* (2) it must initialise the device-specific resources */
+	/* and parameters (mostly done by calling device_Open)	*/
+	/* (3) it must initialise the generic graphical		*/
+	/* parameters that are not initialised by GInit (because*/
+	/* only the device knows what values they should have)	*/
+	/* see Graphics.h for the official list of these	*/
+	/* (4) it may reset generic graphics parameters that	*/
+	/* have already been initialised by GInit (although you	*/
+	/* should know what you are doing if you do this)	*/
+	/* (5) it must attach the device-specific parameters	*/
+	/* structure to the device description structure	*/
+	/* e.g., dd->deviceSpecfic = (void *) xd;		*/
+	/* (6) it must FREE the overall device description if	*/
+	/* it wants to bail out to the top-level		*/
+	/* the graphics engine is responsible for allocating	*/
+	/* the device description and freeing it in most cases	*/
+	/* but if the device driver freaks out it needs to do	*/
+	/* the clean-up itself					*/
+	/********************************************************/
+
+/* moved from Rgraphics.h */
+
+/*
+ *	Some Notes on Color
+ *
+ *	R uses a 24-bit color model.  Colors are specified in 32-bit
+ *	integers which are partitioned into 4 bytes as follows.
+ *
+ *		<-- most sig	    least sig -->
+ *		+-------------------------------+
+ *		|   0	| blue	| green |  red	|
+ *		+-------------------------------+
+ *
+ *	The red, green and blue bytes can be extracted as follows.
+ *
+ *		red   = ((color	     ) & 255)
+ *		green = ((color >>  8) & 255)
+ *		blue  = ((color >> 16) & 255)
+ */
+/*
+ *	Changes as from 1.4.0: use top 8 bits as an alpha channel.
+ * 	0 = opaque, 255 = transparent.
+ */
+/*
+ * Changes as from 2.0.0:  use top 8 bits as full alpha channel
+ *      255 = opaque, 0 = transparent
+ *      [to conform with SVG, PDF and others]
+ *      and everything in between is used
+ *      [which means that NA is not stored as an internal colour;
+ *       it is converted to R_RGBA(255, 255, 255, 0)]
+ */
+
+#define R_RGB(r,g,b)	((r)|((g)<<8)|((b)<<16)|0xFF000000)
+#define R_RGBA(r,g,b,a)	((r)|((g)<<8)|((b)<<16)|((a)<<24))
+#define R_RED(col)	(((col)	   )&255)
+#define R_GREEN(col)	(((col)>> 8)&255)
+#define R_BLUE(col)	(((col)>>16)&255)
+#define R_ALPHA(col)	(((col)>>24)&255)
+#define R_OPAQUE(col)	(R_ALPHA(col) == 255)
+#define R_TRANSPARENT(col) (R_ALPHA(col) == 0)
+    /*
+     * A transparent white
+     */
+#define R_TRANWHITE     (R_RGBA(255, 255, 255, 0))
+
+
+/* used in various devices */
+
+#define curDevice		Rf_curDevice
+#define killDevice		Rf_killDevice
+#define ndevNumber		Rf_ndevNumber
+#define NewFrameConfirm		Rf_NewFrameConfirm
+#define nextDevice		Rf_nextDevice
+#define NoDevices		Rf_NoDevices
+#define NumDevices		Rf_NumDevices
+#define prevDevice		Rf_prevDevice
+#define selectDevice		Rf_selectDevice
+#define AdobeSymbol2utf8	Rf_AdobeSymbol2utf8
+#define utf8toAdobeSymbol	Rf_utf8toAdobeSymbol
+#define utf8Toutf8NoPUA         Rf_utf8Toutf8NoPUA
+#define utf8ToLatin1AdobeSymbol2utf8 Rf_utf8ToLatin1AdobeSymbol2utf8
+
+/* Properly declared version of devNumber */
+int ndevNumber(pDevDesc );
+
+/* How many devices exist ? (>= 1) */
+int NumDevices(void);
+
+/* Check for an available device slot */
+void R_CheckDeviceAvailable(void);
+Rboolean R_CheckDeviceAvailableBool(void);
+
+/* Return the number of the current device. */
+int curDevice(void);
+
+/* Return the number of the next device. */
+int nextDevice(int);
+
+/* Return the number of the previous device. */
+int prevDevice(int);
+
+/* Make the specified device (specified by number) the current device */
+int selectDevice(int);
+
+/* Kill device which is identified by number. */
+void killDevice(int);
+
+int NoDevices(void); /* used in engine, graphics, plot, grid */
+
+void NewFrameConfirm(pDevDesc); /* used in graphics.c, grid */
+
+
+/* Graphics events: defined in gevents.c */
+
+/* These give the indices of some known keys */
+
+typedef enum {knUNKNOWN = -1,
+              knLEFT = 0, knUP, knRIGHT, knDOWN,
+              knF1, knF2, knF3, knF4, knF5, knF6, knF7, knF8, knF9, knF10,
+              knF11, knF12,
+              knPGUP, knPGDN, knEND, knHOME, knINS, knDEL} R_KeyName;
+
+/* These are the three possible mouse events */
+
+typedef enum {meMouseDown = 0,
+	      meMouseUp,
+	      meMouseMove} R_MouseEvent;
+
+#define leftButton   1
+#define middleButton 2
+#define rightButton  4
+
+#define doKeybd			Rf_doKeybd
+#define doMouseEvent		Rf_doMouseEvent
+#define doIdle			Rf_doIdle
+#define doesIdle		Rf_doesIdle
+
+void doMouseEvent(pDevDesc dd, R_MouseEvent event,
+                  int buttons, double x, double y);
+void doKeybd(pDevDesc dd, R_KeyName rkey,
+	     const char *keyname);
+void doIdle(pDevDesc dd);
+Rboolean doesIdle(pDevDesc dd);
+
+/* For use in third-party devices when setting up a device:
+ * duplicates Defn.h which is used internally.
+ * (Tested in devNull.c)
+ */
+
+#ifndef BEGIN_SUSPEND_INTERRUPTS
+/* Macros for suspending interrupts */
+#define BEGIN_SUSPEND_INTERRUPTS do { \
+    Rboolean __oldsusp__ = R_interrupts_suspended; \
+    R_interrupts_suspended = TRUE;
+#define END_SUSPEND_INTERRUPTS R_interrupts_suspended = __oldsusp__; \
+    if (R_interrupts_pending && ! R_interrupts_suspended) \
+        Rf_onintr(); \
+} while(0)
+    
+#include <R_ext/libextern.h>
+LibExtern Rboolean R_interrupts_suspended;    
+LibExtern int R_interrupts_pending;
+extern void Rf_onintr(void);
+LibExtern Rboolean mbcslocale;
+#endif
+
+/* Useful for devices: translates Adobe symbol encoding to UTF-8 */
+extern void *AdobeSymbol2utf8(char*out, const char *in, size_t nwork,
+                              Rboolean usePUA);
+extern int utf8toAdobeSymbol(char* out, const char *in);
+const char* utf8Toutf8NoPUA(const char *in);
+const char* utf8ToLatin1AdobeSymbol2utf8(const char *in, Rboolean usePUA);
+/* Translates Unicode point to UTF-8 */
+extern size_t Rf_ucstoutf8(char *s, const unsigned int c);
+
+#ifdef __cplusplus
+}
+#endif
+
+#endif /* R_GRAPHICSDEVICE_ */
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/include/R_ext/BLAS.h
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/include/R_ext/BLAS.h	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/include/R_ext/BLAS.h	(revision 3761)
@@ -0,0 +1,443 @@
+/*
+ *  R : A Computer Language for Statistical Data Analysis
+ *  Copyright (C) 2003-2019 The R Core Team.
+ *
+ *  This header file is free software; you can redistribute it and/or modify
+ *  it under the terms of the GNU Lesser General Public License as published by
+ *  the Free Software Foundation; either version 2.1 of the License, or
+ *  (at your option) any later version.
+ *
+ *  This file is part of R. R is distributed under the terms of the
+ *  GNU General Public License, either Version 2, June 1991 or Version 3,
+ *  June 2007. See doc/COPYRIGHTS for details of the copyright status of R.
+ *
+ *  This program is distributed in the hope that it will be useful,
+ *  but WITHOUT ANY WARRANTY; without even the implied warranty of
+ *  MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
+ *  GNU Lesser General Public License for more details.
+ *
+ *  You should have received a copy of the GNU Lesser General Public License
+ *  along with this program; if not, a copy is available at
+ *  https://www.R-project.org/Licenses/
+ */
+
+/*
+   C declarations of BLAS Fortran subroutines always available in R.
+
+   Part of the API.
+
+   R packages that use these should have PKG_LIBS in src/Makevars include
+   $(BLAS_LIBS) $(FLIBS)
+ */
+
+/* Part of the API */
+
+#ifndef R_BLAS_H
+#define R_BLAS_H
+
+#include <R_ext/RS.h>		/* for F77_... */
+#include <R_ext/Complex.h>	/* for Rcomplex */
+
+#ifdef FC_LEN_T
+# include <stddef.h> // for size_t if needed
+# define FCLEN ,FC_LEN_T
+# define FCONE ,(FC_LEN_T)1
+#else
+# define FCLEN
+# define FCONE
+#endif
+
+#ifdef  __cplusplus
+extern "C" {
+#endif
+
+// never defined in R itself.
+#ifndef BLAS_extern
+#define BLAS_extern extern
+#endif
+
+/* Double Precision Level 1 BLAS */
+
+BLAS_extern double /* DASUM - sum of absolute values of a one-dimensional array */
+F77_NAME(dasum)(const int *n, const double *dx, const int *incx);
+BLAS_extern void   /* DAXPY - replace y by da*x + y */
+F77_NAME(daxpy)(const int *n, const double *da,
+		const double *dx, const int *incx,
+		double *dy, const int *incy);
+BLAS_extern void   /* DCOPY - copy x to y */
+F77_NAME(dcopy)(const int *n, const double *dx, const int *incx,
+		double *dy, const int *incy);
+BLAS_extern double /* DDOT - inner product of x and y */
+F77_NAME(ddot)(const int *n, const double *dx, const int *incx,
+	       const double *dy, const int *incy);
+BLAS_extern double /* DNRM2 - 2-norm of a vector */
+F77_NAME(dnrm2)(const int *n, const double *dx, const int *incx);
+BLAS_extern void   /* DROT - apply a Given's rotation */
+F77_NAME(drot)(const int *n, double *dx, const int *incx,
+	       double *dy, const int *incy, const double *c, const double *s);
+BLAS_extern void   /* DROTG - generate a Given's rotation */
+F77_NAME(drotg)(const double *a, const double *b, double *c, double *s);
+BLAS_extern void   /* DROTM - apply a modified Given's rotation */
+F77_NAME(drotm)(const int *n, double *dx, const int *incx,
+		double *dy, const int *incy, const double *dparam);
+BLAS_extern void   /* DROTMG - generate a modified Given's rotation */
+F77_NAME(drotmg)(const double *dd1, const double *dd2, const double *dx1,
+		 const double *dy1, double *param);
+BLAS_extern void   /* DSCAL - scale a one-dimensional array */
+F77_NAME(dscal)(const int *n, const double *alpha, double *dx, const int *incx);
+BLAS_extern void   /* DSWAP - interchange one-dimensional arrays */
+F77_NAME(dswap)(const int *n, double *dx, const int *incx,
+		double *dy, const int *incy);
+BLAS_extern int    /* IDAMAX - return the index of the element with max abs value */
+F77_NAME(idamax)(const int *n, const double *dx, const int *incx);
+
+/* Double Precision Level 2 BLAS */
+
+/* DGBMV - perform one of the matrix-vector operations */
+/* y := alpha*A*x + beta*y, or y := alpha*A'*x + beta*y, */
+BLAS_extern void
+F77_NAME(dgbmv)(const char *trans, const int *m, const int *n,
+		const int *kl,const int *ku,
+		const double *alpha, const double *a, const int *lda,
+		const double *x, const int *incx,
+		const double *beta, double *y, const int *incy FCLEN);
+/* DGEMV - perform one of the matrix-vector operations */
+/* y := alpha*A*x + beta*y, or y := alpha*A'*x + beta*y,  */
+BLAS_extern void
+F77_NAME(dgemv)(const char *trans, const int *m, const int *n,
+		const double *alpha, const double *a, const int *lda,
+		const double *x, const int *incx, const double *beta,
+		double *y, const int *incy FCLEN);
+/* DSBMV - perform the matrix-vector operation */
+/* y := alpha*A*x + beta*y, */
+BLAS_extern void
+F77_NAME(dsbmv)(const char *uplo, const int *n, const int *k,
+		const double *alpha, const double *a, const int *lda,
+		const double *x, const int *incx,
+		const double *beta, double *y, const int *incy FCLEN);
+/* DSPMV - perform the matrix-vector operation */
+/* y := alpha*A*x + beta*y, */
+BLAS_extern void
+F77_NAME(dspmv)(const char *uplo, const int *n,
+		const double *alpha, const double *ap,
+		const double *x, const int *incx,
+		const double *beta, double *y, const int *incy FCLEN);
+
+/* DSYMV - perform the matrix-vector operation */
+/*  y := alpha*A*x + beta*y, */
+BLAS_extern void
+F77_NAME(dsymv)(const char *uplo, const int *n, const double *alpha,
+		const double *a, const int *lda,
+		const double *x, const int *incx,
+		const double *beta, double *y, const int *incy FCLEN);
+/* DTBMV - perform one of the matrix-vector operations */
+/* x := A*x, or x := A'*x, */
+BLAS_extern void
+F77_NAME(dtbmv)(const char *uplo, const char *trans,
+		const char *diag, const int *n, const int *k,
+		const double *a, const int *lda,
+		double *x, const int *incx FCLEN FCLEN FCLEN);
+/* DTPMV - perform one of the matrix-vector operations */
+/* x := A*x, or x := A'*x, */
+BLAS_extern void
+F77_NAME(dtpmv)(const char *uplo, const char *trans, const char *diag,
+		const int *n, const double *ap,
+		double *x, const int *incx FCLEN FCLEN FCLEN);
+/* DTRMV - perform one of the matrix-vector operations  */
+/* x := A*x, or x := A'*x, */
+BLAS_extern void
+F77_NAME(dtrmv)(const char *uplo, const char *trans, const char *diag,
+		const int *n, const double *a, const int *lda,
+		double *x, const int *incx FCLEN FCLEN FCLEN);
+/* DTBSV - solve one of the systems of equations */
+/* A*x = b, or A'*x = b, */
+BLAS_extern void
+F77_NAME(dtbsv)(const char *uplo, const char *trans,
+		const char *diag, const int *n, const int *k,
+		const double *a, const int *lda,
+		double *x, const int *incx FCLEN FCLEN FCLEN);
+/* DTPSV - solve one of the systems of equations */
+/* A*x = b, or A'*x = b, */
+BLAS_extern void
+F77_NAME(dtpsv)(const char *uplo, const char *trans,
+		const char *diag, const int *n,
+		const double *ap, double *x, const int *incx
+		FCLEN FCLEN FCLEN);
+/* DTRSV - solve one of the systems of equations */
+/* A*x = b, or A'*x = b, */
+BLAS_extern void
+F77_NAME(dtrsv)(const char *uplo, const char *trans,
+		const char *diag, const int *n,
+		const double *a, const int *lda,
+		double *x, const int *incx FCLEN FCLEN FCLEN);
+/* DGER - perform the rank 1 operation   A := alpha*x*y' + A */
+BLAS_extern void
+F77_NAME(dger)(const int *m, const int *n, const double *alpha,
+	       const double *x, const int *incx,
+	       const double *y, const int *incy,
+	       double *a, const int *lda);
+/* DSYR - perform the symmetric rank 1 operation A := alpha*x*x' + A */
+BLAS_extern void
+F77_NAME(dsyr)(const char *uplo, const int *n, const double *alpha,
+	       const double *x, const int *incx,
+	       double *a, const int *lda FCLEN);
+/* DSPR - perform the symmetric rank 1 operation A := alpha*x*x' + A */
+BLAS_extern void
+F77_NAME(dspr)(const char *uplo, const int *n, const double *alpha,
+	       const double *x, const int *incx, double *ap FCLEN);
+/* DSYR2 - perform the symmetric rank 2 operation */
+/* A := alpha*x*y' + alpha*y*x' + A, */
+BLAS_extern void
+F77_NAME(dsyr2)(const char *uplo, const int *n, const double *alpha,
+		const double *x, const int *incx,
+		const double *y, const int *incy,
+		double *a, const int *lda FCLEN);
+/* DSPR2 - perform the symmetric rank 2 operation */
+/* A := alpha*x*y' + alpha*y*x' + A,  */
+BLAS_extern void
+F77_NAME(dspr2)(const char *uplo, const int *n, const double *alpha,
+		const double *x, const int *incx,
+		const double *y, const int *incy, double *ap FCLEN);
+
+/* Double Precision Level 3 BLAS */
+
+/* DGEMM - perform one of the matrix-matrix operations    */
+/* C := alpha*op( A )*op( B ) + beta*C */
+BLAS_extern void
+F77_NAME(dgemm)(const char *transa, const char *transb, const int *m,
+		const int *n, const int *k, const double *alpha,
+		const double *a, const int *lda,
+		const double *b, const int *ldb,
+		const double *beta, double *c, const int *ldc 
+		FCLEN FCLEN);
+/* DTRSM - solve one of the matrix equations  */
+/* op(A)*X = alpha*B, or  X*op(A) = alpha*B  */
+BLAS_extern void
+F77_NAME(dtrsm)(const char *side, const char *uplo,
+		const char *transa, const char *diag,
+		const int *m, const int *n, const double *alpha,
+		const double *a, const int *lda,
+		double *b, const int *ldb
+		FCLEN FCLEN FCLEN FCLEN);
+/* DTRMM - perform one of the matrix-matrix operations */
+/* B := alpha*op( A )*B, or B := alpha*B*op( A ) */
+BLAS_extern void
+F77_NAME(dtrmm)(const char *side, const char *uplo, const char *transa,
+		const char *diag, const int *m, const int *n,
+		const double *alpha, const double *a, const int *lda,
+		double *b, const int *ldb
+		FCLEN FCLEN FCLEN FCLEN);
+/* DSYMM - perform one of the matrix-matrix operations   */
+/*  C := alpha*A*B + beta*C, */
+BLAS_extern void
+F77_NAME(dsymm)(const char *side, const char *uplo, const int *m,
+		const int *n, const double *alpha,
+		const double *a, const int *lda,
+		const double *b, const int *ldb,
+		const double *beta, double *c, const int *ldc
+		FCLEN FCLEN);
+/* DSYRK - perform one of the symmetric rank k operations */
+/* C := alpha*A*A' + beta*C or C := alpha*A'*A + beta*C */
+BLAS_extern void
+F77_NAME(dsyrk)(const char *uplo, const char *trans,
+		const int *n, const int *k,
+		const double *alpha, const double *a, const int *lda,
+		const double *beta, double *c, const int *ldc
+		FCLEN FCLEN);
+/* DSYR2K - perform one of the symmetric rank 2k operations */
+/* C := alpha*A*B' + alpha*B*A' + beta*C or */
+/* C := alpha*A'*B + alpha*B'*A + beta*C */
+BLAS_extern void
+F77_NAME(dsyr2k)(const char *uplo, const char *trans,
+		 const int *n, const int *k,
+		 const double *alpha, const double *a, const int *lda,
+		 const double *b, const int *ldb,
+		 const double *beta, double *c, const int *ldc
+		 FCLEN FCLEN);
+/*
+  LSAME is a LAPACK support routine, not part of BLAS
+*/
+
+/* Double complex BLAS routines added for 2.3.0 */
+/* #ifdef HAVE_FORTRAN_DOUBLE_COMPLEX */
+    BLAS_extern double
+    F77_NAME(dcabs1)(const Rcomplex *z);
+    BLAS_extern double
+    F77_NAME(dzasum)(const int *n, const Rcomplex *zx, const int *incx);
+    BLAS_extern double
+    F77_NAME(dznrm2)(const int *n, const Rcomplex *x, const int *incx);
+    BLAS_extern int
+    F77_NAME(izamax)(const int *n, const Rcomplex *zx, const int *incx);
+    BLAS_extern void
+    F77_NAME(zaxpy)(const int *n, const Rcomplex *za, const Rcomplex *zx,
+		    const int *incx, const Rcomplex *zy, const int *incy);
+    BLAS_extern void
+    F77_NAME(zcopy)(const int *n, const Rcomplex *zx, const int *incx,
+		    const Rcomplex *zy, const int *incy);
+
+    /* WARNING!  The next two return a value that may not be
+       compatible between C and Fortran, and even if it is, this might
+       not be the right translation to C.  Only use after
+       configure-testing with your compilers.
+     */
+    BLAS_extern Rcomplex
+    F77_NAME(zdotc)(const int *n,
+		    const Rcomplex *zx, const int *incx, 
+		    const Rcomplex *zy, const int *incy);
+    BLAS_extern Rcomplex
+    F77_NAME(zdotu)(const int *n,
+		    const Rcomplex *zx, const int *incx,
+		    const Rcomplex *zy, const int *incy);
+
+    BLAS_extern void
+    F77_NAME(zdrot)(const int *n, 
+		    const Rcomplex *zx, const int *incx, 
+		    Rcomplex *zy, const int *incy, 
+		    const double *c, const double *s);
+    BLAS_extern void
+    F77_NAME(zdscal)(const int *n, const double *da, 
+		     Rcomplex *zx, const int *incx);
+    BLAS_extern void
+    F77_NAME(zgbmv)(const char *trans, int *m, int *n, int *kl,
+		    int *ku, Rcomplex *alpha, Rcomplex *a, int *lda,
+		    Rcomplex *x, int *incx, Rcomplex *beta, Rcomplex *y,
+		    int *incy FCLEN);
+    BLAS_extern void
+    F77_NAME(zgemm)(const char *transa, const char *transb, const int *m,
+		    const int *n, const int *k, const Rcomplex *alpha,
+		    const Rcomplex *a, const int *lda,
+		    const Rcomplex *b, const int *ldb,
+		    const Rcomplex *beta, Rcomplex *c, const int *ldc
+		    FCLEN FCLEN);
+    BLAS_extern void
+    F77_NAME(zgemv)(const char *trans, const int *m, const int *n,
+		    const Rcomplex *alpha, const Rcomplex *a, const int *lda,
+		    const Rcomplex *x, const int *incx, const Rcomplex *beta,
+		    Rcomplex *y, const int *incy FCLEN);
+    BLAS_extern void
+    F77_NAME(zgerc)(const int *m, const int *n, const Rcomplex *alpha,
+		    const Rcomplex *x, const int *incx, const Rcomplex *y,
+		    const int *incy, Rcomplex *a, const int *lda);
+    BLAS_extern void
+    F77_NAME(zgeru)(const int *m, const int *n, const Rcomplex *alpha,
+		    const Rcomplex *x, const int *incx, const Rcomplex *y,
+		    const int *incy, Rcomplex *a, const int *lda);
+    BLAS_extern void
+    F77_NAME(zhbmv)(const char *uplo, const int *n, const int *k,
+		    const Rcomplex *alpha, const Rcomplex *a, const int *lda,
+		    const Rcomplex *x, const int *incx, const Rcomplex *beta,
+		    Rcomplex *y, const int *incy FCLEN);
+    BLAS_extern void
+    F77_NAME(zhemm)(const char *side, const char *uplo, const int *m,
+		    const int *n, const Rcomplex *alpha, const Rcomplex *a,
+		    const int *lda, const Rcomplex *b, const int *ldb,
+		    const Rcomplex *beta, Rcomplex *c, const int *ldc
+		    FCLEN FCLEN);
+    BLAS_extern void
+    F77_NAME(zhemv)(const char *uplo, const int *n, const Rcomplex *alpha,
+		    const Rcomplex *a, const int *lda, const Rcomplex *x,
+		    const int *incx, const Rcomplex *beta,
+		    Rcomplex *y, const int *incy FCLEN);
+    BLAS_extern void
+    F77_NAME(zher)(const char *uplo, const int *n, const double *alpha,
+		   const Rcomplex *x, const int *incx, Rcomplex *a,
+		   const int *lda FCLEN);
+    BLAS_extern void
+    F77_NAME(zher2)(const char *uplo, const int *n, const Rcomplex *alpha,
+		    const Rcomplex *x, const int *incx, const Rcomplex *y,
+		    const int *incy, Rcomplex *a, const int *lda FCLEN);
+    BLAS_extern void
+    F77_NAME(zher2k)(const char *uplo, const char *trans, const int *n,
+		     const int *k, const Rcomplex *alpha, const Rcomplex *a,
+		     const int *lda, const Rcomplex *b, const  int *ldb,
+		     const double *beta, Rcomplex *c, const int *ldc
+		     FCLEN FCLEN);
+    BLAS_extern void
+    F77_NAME(zherk)(const char *uplo, const char *trans, const int *n,
+		    const int *k, const double *alpha, const Rcomplex *a,
+		    const int *lda, const double *beta, Rcomplex *c,
+		    const int *ldc FCLEN FCLEN);
+    BLAS_extern void
+    F77_NAME(zhpmv)(const char *uplo, const int *n, const Rcomplex *alpha,
+		    const Rcomplex *ap, const Rcomplex *x, const int *incx,
+		    const Rcomplex * beta, Rcomplex *y, const int *incy
+		    FCLEN);
+    BLAS_extern void
+    F77_NAME(zhpr)(const char *uplo, const int *n, const double *alpha,
+		   const Rcomplex *x, const int *incx, Rcomplex *ap
+		   FCLEN);
+    BLAS_extern void
+    F77_NAME(zhpr2)(const char *uplo, const int *n, const Rcomplex *alpha,
+		    const Rcomplex *x, const int *incx, const Rcomplex *y,
+		    const int *incy, Rcomplex *ap FCLEN);
+    BLAS_extern void
+    F77_NAME(zrotg)(const Rcomplex *ca, const Rcomplex *cb, 
+		    double *c, Rcomplex *s);
+    BLAS_extern void
+    F77_NAME(zscal)(const int *n, const Rcomplex *za, Rcomplex *zx,
+		    const int *incx);
+    BLAS_extern void
+    F77_NAME(zswap)(const int *n, Rcomplex *zx, const int *incx,
+		    Rcomplex *zy, const int *incy);
+    BLAS_extern void
+    F77_NAME(zsymm)(const char *side, const char *uplo, const int *m,
+		    const int *n, const Rcomplex *alpha, const Rcomplex *a,
+		    const int *lda, const Rcomplex *b, const int *ldb,
+		    const Rcomplex *beta, Rcomplex *c, const int *ldc
+		    FCLEN FCLEN);
+    BLAS_extern void
+    F77_NAME(zsyr2k)(const char *uplo, const char *trans, int *n, int *k,
+		     Rcomplex *alpha, Rcomplex *a, int *lda, Rcomplex *b,
+		     int *ldb, Rcomplex *beta, Rcomplex *c, int *ldc
+		     FCLEN FCLEN);
+    BLAS_extern void
+    F77_NAME(zsyrk)(const char *uplo, const char *trans, const  int *n,
+		    const int *k, const Rcomplex *alpha, const Rcomplex *a,
+		    const int *lda, const Rcomplex *beta, Rcomplex *c,
+		    const int *ldc FCLEN FCLEN);
+    BLAS_extern void
+    F77_NAME(ztbmv)(const char *uplo, const char *trans, const char *diag,
+		    const int *n, const int *k, const Rcomplex *a,
+		    const int *lda, Rcomplex *x, const int *incx
+		    FCLEN FCLEN FCLEN);
+    BLAS_extern void
+    F77_NAME(ztbsv)(const char *uplo, const char *trans, const char *diag,
+		    const int *n, const int *k, const Rcomplex *a,
+		    const int *lda, Rcomplex *x, const int *incx
+		    FCLEN FCLEN FCLEN);
+    BLAS_extern void
+    F77_NAME(ztpmv)(const char *uplo, const char *trans, const char *diag,
+		    const int *n, const Rcomplex *ap, Rcomplex *x,
+		    const int *incx FCLEN FCLEN FCLEN);
+    BLAS_extern void
+    F77_NAME(ztpsv)(const char *uplo, const char *trans, const char *diag,
+		    const int *n, const Rcomplex *ap, Rcomplex *x,
+		    const int *incx FCLEN FCLEN FCLEN);
+    BLAS_extern void
+    F77_NAME(ztrmm)(const char *side, const char *uplo, const char *transa,
+		    const char *diag, const int *m, const int *n,
+		    const Rcomplex *alpha, const Rcomplex *a,
+		    const int *lda, Rcomplex *b, const int *ldb
+		    FCLEN FCLEN FCLEN FCLEN);
+    BLAS_extern void
+    F77_NAME(ztrmv)(const char *uplo, const char *trans, const char *diag,
+		    const int *n, const Rcomplex *a, const int *lda,
+		    Rcomplex *x, const int *incx
+		    FCLEN FCLEN FCLEN);
+    BLAS_extern void
+    F77_NAME(ztrsm)(const char *side, const char *uplo, const char *transa,
+		    const char *diag, int *m, int *n, Rcomplex *alpha,
+		    Rcomplex *a, int *lda, Rcomplex *b, int *ldb
+		    FCLEN FCLEN FCLEN FCLEN);
+    BLAS_extern void
+    F77_NAME(ztrsv)(const char *uplo, const char *trans, const char *diag,
+		    const int *n, const Rcomplex *a, const int *lda,
+		    Rcomplex *x, const int *incx
+		    FCLEN FCLEN FCLEN);
+/* #endif */
+
+#ifdef  __cplusplus
+}
+#endif
+
+#endif /* R_BLAS_H */
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/include/R_ext/Linpack.h
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/include/R_ext/Linpack.h	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/include/R_ext/Linpack.h	(revision 3761)
@@ -0,0 +1,92 @@
+/*
+ *  R : A Computer Language for Statistical Data Analysis
+ *  Copyright (C) 1997        Robert Gentleman and Ross Ihaka
+ *  Copyright (C) 1999-2015   The R Core Team.
+ *
+ *  This header file is free software; you can redistribute it and/or modify
+ *  it under the terms of the GNU Lesser General Public License as published by
+ *  the Free Software Foundation; either version 2.1 of the License, or
+ *  (at your option) any later version.
+ *
+ *  This file is part of R. R is distributed under the terms of the
+ *  GNU General Public License, either Version 2, June 1991 or Version 3,
+ *  June 2007. See doc/COPYRIGHTS for details of the copyright status of R.
+ *
+ *  This program is distributed in the hope that it will be useful,
+ *  but WITHOUT ANY WARRANTY; without even the implied warranty of
+ *  MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
+ *  GNU Lesser General Public License for more details.
+ *
+ *  You should have received a copy of the GNU Lesser General Public License
+ *  along with this program; if not, a copy is available at
+ *  https://www.R-project.org/Licenses/
+ */
+
+/* 
+   C declarations of double-precision LINPACK Fortran subroutines
+   included in R, and some others.
+   
+   Those which are listed as part of R are in the API
+ */
+
+#ifndef R_LINPACK_H_
+#define R_LINPACK_H_
+
+#include <R_ext/RS.h>		/* for F77_... */
+#include <R_ext/BLAS.h>
+
+#ifdef  __cplusplus
+extern "C" {
+#endif
+
+	/* Double Precision LINPACK */
+
+extern void F77_NAME(dpbfa)(double*, int*, int*, int*, int*);
+extern void F77_NAME(dpbsl)(double*, int*, int*, int*, double*);
+extern void F77_NAME(dpoco)(double*, int*, int*, double*, double*, int*);
+extern void F77_NAME(dpodi)(double*, int*, int*, double*, int*);
+extern void F77_NAME(dpofa)(double*, int*, int*, int*);
+extern void F77_NAME(dposl)(double*, int*, int*, double*);
+extern void F77_NAME(dqrdc)(double*, int*, int*, int*, double*, int*, double*, int*);
+extern void F77_NAME(dqrsl)(double*, int*, int*, int*, double*, double*, double*, double*, double*, double*, double*, int*, int*);
+extern void F77_NAME(dsvdc)(double*, int*, int*, int*, double*, double*, double*, int*, double*, int*, double*, int*, int*);
+extern void F77_NAME(dtrco)(double*, int*, int*, double*, double*, int*);
+extern void F77_NAME(dtrsl)(double*, int*, int*, double*, int*, int*);
+
+
+/* The following routines are listed as they have always been declared
+   here, but they are not currently included in R */
+extern void F77_NAME(dchdc)(double*, int*, int*, double*, int*, int*, int*);
+extern void F77_NAME(dchdd)(double*, int*, int*, double*, double*, int*, int*, double*, double*, double*, double*, int*);
+extern void F77_NAME(dchex)(double*, int*, int*, int*, int*, double*, int*, int*, double*, double*, int*);
+extern void F77_NAME(dchud)(double*, int*, int*, double*, double*, int*, int*, double*, double*, double*, double*);
+extern void F77_NAME(dgbco)(double*, int*, int*, int*, int*, int*, double*, double*);
+extern void F77_NAME(dgbdi)(double*, int*, int*, int*, int*, int*, double*);
+extern void F77_NAME(dgbfa)(double*, int*, int*, int*, int*, int*, int*);
+extern void F77_NAME(dgbsl)(double*, int*, int*, int*, int*, int*, double*, int*);
+extern void F77_NAME(dgeco)(double*, int*, int*, int*, double*, double*);
+extern void F77_NAME(dgedi)(double*, int*, int*, int*, double*, double*, int*);
+extern void F77_NAME(dgefa)(double*, int*, int*, int*, int*);
+extern void F77_NAME(dgesl)(double*, int*, int*, int*, double*, int*);
+extern void F77_NAME(dgtsl)(int*, double*, double*, double*, double*, int*);
+extern void F77_NAME(dpbco)(double*, int*, int*, int*, double*, double*, int*);
+extern void F77_NAME(dpbdi)(double*, int*, int*, int*, double*);
+extern void F77_NAME(dppco)(double*, int*, double*, double*, int*);
+extern void F77_NAME(dppdi)(double*, int*, double*, int*);
+extern void F77_NAME(dppfa)(double*, int*, int*);
+extern void F77_NAME(dppsl)(double*, int*, double*);
+extern void F77_NAME(dptsl)(int*, double*, double*, double*);
+extern void F77_NAME(dsico)(double*, int*, int*, int*, double*, double*);
+extern void F77_NAME(dsidi)(double*, int*, int*, int*, double*, int*, double*, int*);
+extern void F77_NAME(dsifa)(double*, int*, int*, int*, int*);
+extern void F77_NAME(dsisl)(double*, int*, int*, int*, double*);
+extern void F77_NAME(dspco)(double*, int*, int*, double*, double*);
+extern void F77_NAME(dspdi)(double*, int*, int*, double*, int*, double*, int*);
+extern void F77_NAME(dspfa)(double*, int*, int*, int*);
+extern void F77_NAME(dspsl)(double*, int*, int*, double*);
+
+#ifdef  __cplusplus
+}
+#endif
+
+#endif /* R_LINPACK_H_ */
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/include/R_ext/Connections.h
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/include/R_ext/Connections.h	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/include/R_ext/Connections.h	(revision 3761)
@@ -0,0 +1,100 @@
+/*
+ *  R : A Computer Language for Statistical Data Analysis
+ *  Copyright (C) 2000-2017   The R Core Team.
+ *
+ *  This program is free software; you can redistribute it and/or modify
+ *  it under the terms of the GNU General Public License as published by
+ *  the Free Software Foundation; either version 2 of the License, or
+ *  (at your option) any later version.
+ *
+ *  This program is distributed in the hope that it will be useful,
+ *  but WITHOUT ANY WARRANTY; without even the implied warranty of
+ *  MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
+ *  GNU General Public License for more details.
+ *
+ *  You should have received a copy of the GNU General Public License
+ *  along with this program; if not, a copy is available at
+ *  https://www.R-project.org/Licenses/
+ */
+
+
+/* This header is not part of the R API (see 'Writing R Extensions') */
+
+#ifndef R_EXT_CONNECTIONS_H_
+#define R_EXT_CONNECTIONS_H_
+
+#include <R_ext/Boolean.h>
+
+#if defined(__cplusplus) && !defined(DO_NOT_USE_CXX_HEADERS)
+# include <cstddef>
+# include <cstdarg>
+#else
+# include <stddef.h> /* for size_t */
+# include <stdarg.h> /* for va_list */
+#endif
+
+/* IMPORTANT: we do not expect future connection APIs to be
+   backward-compatible so if you use this, you *must* check the
+   version and proceed only if it matches what you expect.
+
+   We explicitly reserve the right to change the connection
+   implementation without a compatibility layer.
+ */
+#define R_CONNECTIONS_VERSION 1
+
+/* this allows the opaque pointer definition to be made available 
+   in Rinternals.h */
+#ifndef HAVE_RCONNECTION_TYPEDEF
+typedef struct Rconn  *Rconnection;
+#endif
+struct Rconn {
+    char* class;
+    char* description;
+    int enc; /* the encoding of 'description' */
+    char mode[5];
+    Rboolean text, isopen, incomplete, canread, canwrite, canseek, blocking, 
+	isGzcon;
+    Rboolean (*open)(struct Rconn *);
+    void (*close)(struct Rconn *); /* routine closing after auto open */
+    void (*destroy)(struct Rconn *); /* when closing connection */
+    int (*vfprintf)(struct Rconn *, const char *, va_list);
+    int (*fgetc)(struct Rconn *);
+    int (*fgetc_internal)(struct Rconn *);
+    double (*seek)(struct Rconn *, double, int, int);
+    void (*truncate)(struct Rconn *);
+    int (*fflush)(struct Rconn *);
+    size_t (*read)(void *, size_t, size_t, struct Rconn *);
+    size_t (*write)(const void *, size_t, size_t, struct Rconn *);
+    int nPushBack, posPushBack; /* number of lines, position on top line */
+    char **PushBack;
+    int save, save2;
+    char encname[101];
+    /* will be iconv_t, which is a pointer. NULL if not in use */
+    void *inconv, *outconv;
+    /* The idea here is that no MBCS char will ever not fit */
+    char iconvbuff[25], oconvbuff[50], *next, init_out[25];
+    short navail, inavail;
+    Rboolean EOF_signalled;
+    Rboolean UTF8out;
+    void *id;
+    void *ex_ptr;
+    void *private;
+    int status; /* for pipes etc */
+    unsigned char *buff;
+    size_t buff_len, buff_stored_len, buff_pos;
+};
+
+#ifdef  __cplusplus
+extern "C" {
+#endif
+
+SEXP   R_new_custom_connection(const char *description, const char *mode, const char *class_name, Rconnection *ptr);
+size_t R_ReadConnection(Rconnection con, void *buf, size_t n);
+size_t R_WriteConnection(Rconnection con, void *buf, size_t n);
+Rconnection R_GetConnection(SEXP sConn); // added in R 3.3.0
+
+#ifdef  __cplusplus
+}
+#endif
+
+#endif
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/include/R_ext/RS.h
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/include/R_ext/RS.h	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/include/R_ext/RS.h	(revision 3761)
@@ -0,0 +1,96 @@
+/*
+ *  R : A Computer Language for Statistical Data Analysis
+ *  Copyright (C) 1999-2022 The R Core Team.
+ *
+ *  This header file is free software; you can redistribute it and/or modify
+ *  it under the terms of the GNU Lesser General Public License as published by
+ *  the Free Software Foundation; either version 2.1 of the License, or
+ *  (at your option) any later version.
+ * 
+ *  This file is part of R. R is distributed under the terms of the
+ *  GNU General Public License, either Version 2, June 1991 or Version 3,
+ *  June 2007. See doc/COPYRIGHTS for details of the copyright status of R.
+ *
+ *  This program is distributed in the hope that it will be useful,
+ *  but WITHOUT ANY WARRANTY; without even the implied warranty of
+ *  MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
+ *  GNU Lesser General Public License for more details.
+ *
+ *  You should have received a copy of the GNU Lesser General Public License
+ *  along with this program; if not, a copy is available at
+ *  https://www.R-project.org/Licenses/
+ */
+
+/* Included by R.h: mainly API */
+
+#ifndef R_RS_H
+#define R_RS_H
+
+#if defined(__cplusplus) && !defined(DO_NOT_USE_CXX_HEADERS)
+# include <cstring>
+# include <cstddef>
+# define R_SIZE_T std::size_t
+#else
+# include <string.h>		/* for memcpy, memset */
+# include <stddef.h> /* for size_t */
+# define R_SIZE_T size_t
+#endif
+
+#include <Rconfig.h>		/* for F77_APPEND_UNDERSCORE */
+
+#ifdef  __cplusplus
+extern "C" {
+#endif
+
+/* S Like Memory Management */
+
+extern void *R_chk_calloc(R_SIZE_T, R_SIZE_T);
+extern void *R_chk_realloc(void *, R_SIZE_T);
+extern void R_chk_free(void *);
+
+#ifndef STRICT_R_HEADERS
+/* S-PLUS 3.x but not 5.x NULLed the pointer in Free */
+#define Calloc(n, t)   (t *) R_chk_calloc( (R_SIZE_T) (n), sizeof(t) )
+#define Realloc(p,n,t) (t *) R_chk_realloc( (void *)(p), (R_SIZE_T)((n) * sizeof(t)) )
+#define Free(p)        (R_chk_free( (void *)(p) ), (p) = NULL)
+#endif
+    
+#define R_Calloc(n, t)   (t *) R_chk_calloc( (R_SIZE_T) (n), sizeof(t) )
+#define R_Realloc(p,n,t) (t *) R_chk_realloc( (void *)(p), (R_SIZE_T)((n) * sizeof(t)) )
+#define R_Free(p)      (R_chk_free( (void *)(p) ), (p) = NULL)
+
+/* undocumented until 4.1.2: widely used. */
+#define Memcpy(p,q,n)  memcpy( p, q, (R_SIZE_T)(n) * sizeof(*p) )
+
+/* added for 3.0.0 but undocumented until 4.1.2.
+   Used by a couple of packages. */
+#define Memzero(p,n)  memset(p, 0, (R_SIZE_T)(n) * sizeof(*p))
+
+/* Added in R 2.6.0 */
+#define CallocCharBuf(n) (char *) R_chk_calloc(((R_SIZE_T)(n))+1, sizeof(char))
+
+/* S Like Fortran Interface */
+/* These may not be adequate everywhere. Convex had _ prepending common
+   blocks, and some compilers may need to specify Fortran linkage */
+
+#ifdef HAVE_F77_UNDERSCORE
+# define F77_CALL(x)	x ## _
+#else
+# define F77_CALL(x)	x
+#endif
+#define F77_NAME(x)    F77_CALL(x)
+#define F77_SUB(x)     F77_CALL(x)
+#define F77_COM(x)     F77_CALL(x)
+#define F77_COMDECL(x) F77_CALL(x)
+
+/* Depreacated in R 2.15.0, non-API
+#if !defined(NO_CALL_R) && defined(DECLARE_LEGACY_CALL_R)
+void	call_R(char*, long, void**, char**, long*, char**, long, char**);
+#endif
+*/
+
+#ifdef  __cplusplus
+}
+#endif
+
+#endif /* R_RS_H */
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/include/R_ext/RStartup.h
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/include/R_ext/RStartup.h	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/include/R_ext/RStartup.h	(revision 3761)
@@ -0,0 +1,150 @@
+/*
+ *  R : A Computer Language for Statistical Data Analysis
+ *  Copyright (C) 1999-2022  The R Core Team
+ *
+ *  This program is free software; you can redistribute it and/or modify
+ *  it under the terms of the GNU General Public License as published by
+ *  the Free Software Foundation; either version 2 of the License, or
+ *  (at your option) any later version.
+ *
+ *  This program is distributed in the hope that it will be useful,
+ *  but WITHOUT ANY WARRANTY; without even the implied warranty of
+ *  MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
+ *  GNU General Public License for more details.
+ *
+ *  You should have received a copy of the GNU General Public License
+ *  along with this program; if not, a copy is available at
+ *  https://www.R-project.org/Licenses/
+ */
+
+/*
+  C functions to be called from alternative front-ends.
+
+  Part of the API for such front-ends but not for packages.
+*/
+
+#ifndef R_EXT_RSTARTUP_H_
+#define R_EXT_RSTARTUP_H_
+
+#if defined(__cplusplus) && !defined(DO_NOT_USE_CXX_HEADERS)
+# include <cstddef>
+# define R_SIZE_T std::size_t
+#else
+# include <stddef.h> /* for size_t */
+# define R_SIZE_T size_t
+#endif
+
+#include <R_ext/Boolean.h>	/* TRUE/FALSE */
+
+#ifdef __cplusplus
+extern "C" {
+#endif
+
+#ifdef Win32
+typedef enum {RGui, RTerm, LinkDLL} UImode;
+#endif
+
+#define RSTART_VERSION 1 /* version 1 introduced in R 4.2.0 */
+
+/* Startup Actions */
+typedef enum {
+    SA_NORESTORE,/* = 0 */
+    SA_RESTORE,
+    SA_DEFAULT,/* was === SA_RESTORE */
+    SA_NOSAVE,
+    SA_SAVE,
+    SA_SAVEASK,
+    SA_SUICIDE
+} SA_TYPE;
+
+typedef struct
+{
+    Rboolean R_Quiet;
+    Rboolean R_NoEcho;
+    Rboolean R_Interactive;
+    Rboolean R_Verbose;
+    Rboolean LoadSiteFile;
+    Rboolean LoadInitFile;
+    Rboolean DebugInitFile;
+    SA_TYPE RestoreAction;
+    SA_TYPE SaveAction;
+    R_SIZE_T vsize;
+    R_SIZE_T nsize;
+    R_SIZE_T max_vsize;
+    R_SIZE_T max_nsize;
+    R_SIZE_T ppsize;
+    Rboolean NoRenviron : 16;
+	/* RstartVersion has been added in R 4.2.0. Earlier, NoRenviron was an
+	   int (normally 32-bit like Rboolean), so on most machines the
+	   version would become 0 when setting NoRenviron to FALSE in
+	   R_DefParams by R older than 4.2.0. To be safe, embedding
+	   applications should be compiled using the same version of R they
+	   embed, as shown in rtest.c and WRE, and definitely recompiled with
+	   R 4.2.0.
+	*/
+    int RstartVersion : 16;
+    
+#ifdef Win32
+    char *rhome;               /* R_HOME */
+    char *home;                /* HOME  */
+
+    int (*ReadConsole) (const char *, unsigned char *, int, int);
+    void (*WriteConsole) (const char *, int);
+    void (*CallBack) (void);   /* ProcessEvents under Unix */
+    void (*ShowMessage) (const char *);
+    int (*YesNoCancel) (const char *);
+	/* Return value here is expected to be 1 for Yes, -1 for No and
+	   0 for Cancel: symbolic constants in graphapp.h
+	*/
+    void (*Busy) (int);
+    UImode CharacterMode;
+	/* The following field has been added in R 2.5.0 */
+    void (*WriteConsoleEx) (const char *, int, int);
+	/* used only if WriteConsole is NULL */
+
+	/* The following field has been added in R 4.0.0. */
+    Rboolean EmitEmbeddedUTF8;
+	/* R may embed UTF-8 sections into strings otherwise in current native
+	   encoding, escaped by UTF8in and UTF8out (rgui_UTF8.h). The setting
+	   has no effect in Rgui (escaping happens iff the system codepage is 
+	   not UTF-8) neither in Rterm (never enabled). For UTF-8 to be the
+	   system codepage, the embeddeding application must set UTF-8 as the
+	   active code page (system encoding) via its fusion manifest. When
+	   using version 0 of the structure, this field must be initialized
+	   by the embedding application/front-end.
+	*/
+
+	/* The following fields have been added in R 4.2.0 and are only
+	   available with RstarVersion 1.
+	*/
+    void (*CleanUp)(SA_TYPE, int, int);
+    void (*ClearerrConsole)(void);
+    void (*FlushConsole)(void);
+    void (*ResetConsole) (void);
+    void (*Suicide) (const char *s);
+#endif
+} structRstart;
+
+typedef structRstart *Rstart;
+
+void R_DefParams(Rstart); /* only for RstartVersion 0 */
+int R_DefParamsEx(Rstart, int);
+    /* New code should always use R_DefParamsEx(Rstart, RSTART_VERSION) to
+       inform R about the version of the structure used. R_DefParams(Rstart)
+       only supports version 0 of the structure.
+    */
+void R_SetParams(Rstart);
+void R_DefCallbacks(Rstart, int);
+void R_SetWin32(Rstart);
+void R_SizeFromEnv(Rstart);
+void R_common_command_line(int *, char **, Rstart);
+
+void R_set_command_line_arguments(int argc, char **argv);
+
+void setup_Rmainloop(void); // also in Rembedded.h
+
+#ifdef __cplusplus
+}
+#endif
+
+#endif
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/include/R_ext/Rallocators.h
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/include/R_ext/Rallocators.h	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/include/R_ext/Rallocators.h	(revision 3761)
@@ -0,0 +1,54 @@
+/*
+ *  R : A Computer Language for Statistical Data Analysis
+ *  Copyright (C) 2014-2016  The R Core Team
+ *
+ *  This header file is free software; you can redistribute it and/or modify
+ *  it under the terms of the GNU Lesser General Public License as published by
+ *  the Free Software Foundation; either version 2.1 of the License, or
+ *  (at your option) any later version.
+ *
+ *  This file is part of R. R is distributed under the terms of the
+ *  GNU General Public License, either Version 2, June 1991 or Version 3,
+ *  June 2007. See doc/COPYRIGHTS for details of the copyright status of R.
+ *
+ *  This program is distributed in the hope that it will be useful,
+ *  but WITHOUT ANY WARRANTY; without even the implied warranty of
+ *  MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
+ *  GNU Lesser General Public License for more details.
+ *
+ *  You should have received a copy of the GNU Lesser General Public License
+ *  along with this program; if not, a copy is available at
+ *  https://www.R-project.org/Licenses/
+ *
+ *
+ *  Definition of the R_allocator_t structure for custom allocators
+ *  to be used with allocVector3()
+ */
+
+#ifndef R_EXT_RALLOCATORS_H_
+#define R_EXT_RALLOCATORS_H_
+
+#if defined(__cplusplus) && !defined(DO_NOT_USE_CXX_HEADERS)
+# include <cstddef>
+#else
+# include <stddef.h> /* for size_t */
+#endif
+
+/* R_allocator_t typedef is also declared in Rinternals.h 
+   so we guard against random inclusion order */
+#ifndef R_ALLOCATOR_TYPE
+#define R_ALLOCATOR_TYPE
+typedef struct R_allocator R_allocator_t;
+#endif
+
+typedef void *(*custom_alloc_t)(R_allocator_t *allocator, size_t);
+typedef void  (*custom_free_t)(R_allocator_t *allocator, void *);
+
+struct R_allocator {
+    custom_alloc_t mem_alloc; /* malloc equivalent */
+    custom_free_t  mem_free;  /* free equivalent */
+    void *res;                /* reserved (maybe for copy) - must be NULL */
+    void *data;               /* custom data for the allocator implementation */
+};
+
+#endif /* R_EXT_RALLOCATORS_H_ */
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/include/R_ext/GraphicsEngine.h
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/include/R_ext/GraphicsEngine.h	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/include/R_ext/GraphicsEngine.h	(revision 3761)
@@ -0,0 +1,658 @@
+/*
+ *  R : A Computer Language for Statistical Data Analysis
+ *  Copyright (C) 2001-21 The R Core Team.
+ *
+ *  This header file is free software; you can redistribute it and/or modify
+ *  it under the terms of the GNU Lesser General Public License as published by
+ *  the Free Software Foundation; either version 2.1 of the License, or
+ *  (at your option) any later version.
+ *
+ *  This file is part of R. R is distributed under the terms of the
+ *  GNU General Public License, either Version 2, June 1991 or Version 3,
+ *  June 2007. See doc/COPYRIGHTS for details of the copyright status of R.
+ *
+ *  This program is distributed in the hope that it will be useful,
+ *  but WITHOUT ANY WARRANTY; without even the implied warranty of
+ *  MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
+ *  GNU Lesser General Public License for more details.
+ *
+ *  You should have received a copy of the GNU Lesser General Public License
+ *  along with this program; if not, a copy is available at
+ *  https://www.R-project.org/Licenses/
+ */
+
+/* Used by graphics.c, grid and by third-party graphics devices */
+
+#ifndef R_GRAPHICSENGINE_H_
+#define R_GRAPHICSENGINE_H_
+
+#ifdef __cplusplus
+extern "C" {
+#endif
+
+/*
+ * The current graphics engine (including graphics device) API version
+ * MUST be integer
+ *
+ * This number should be bumped whenever there are changes to
+ * GraphicsEngine.h or GraphicsDevice.h so that add-on packages
+ * that compile against these headers (graphics systems such as
+ * graphics and grid;  graphics devices such as gtkDevice, RSvgDevice)
+ * can detect any version mismatch.
+ *
+ * Version 1:  Introduction of the version number.
+ * Version 2:  GEDevDesc *dd dropped from GEcontourLines().
+ * Version 3:  R_GE_str2col() added to API. (r41887)
+ * Version 4:  UTF-8 text hooks, useRotatedTextInContour,
+ *             add newFrameConfirm() to NewDevDesc.
+ *             New API: GEaddDevice[2] GEgetDevice, GEkillDevice,
+ *             ndevNumber. (R 2.7.0)
+ * Version 5:  Clean up 1.4.0/2.0.0 changes!
+ *             Remove newDevStruct from GEDevDesc and NewDevDesc.
+ *             Remove asp, dot(), hold(), open() from NewDevDesc.
+ *             Move displayList, DLlastElt, savedSnapshot from
+ *             NewDevDesc to GEDevDesc.
+ *             Add 'ask' to GEDevDesc. (R 2.8.0)
+ * Version 6:  Add dev_Raster() and dev_Cap()  (R 2.11.0)
+ * Version 7:  Change graphics event handling, adding eventEnv and eventHelper()
+ *	       to DevDesc.  (R 2.12.0)
+ * Version 8:  Add dev_Path() (R 2.12.0)
+ * Version 9:  Add dev_HoldFlush(), haveTrans*, haveRaster,
+ *             haveCapture, haveLocator.  (R 2.14.0)
+ * Version 10: For R 3.0.0.  Typedef and use 'rcolor',
+ *             Remove name2col (R_GE_str2col does the job).
+ * Version 11: For R 3.3.0.
+ *             Official support for saving/restoring display lists
+ *             across R sessions (via recordPlot() and replayPlot())
+ *             - added grid DL to snapshots (used to be NULL)
+ *             - added this version number to snapshots (as attribute)
+ *             - added R version number to snapshots (as attribute)
+ *             - added pkgName to graphics system state info (as attribute)
+ * Version 12: For R 3.4.0
+ *             Added canGenIdle, doIdle() and doesIdle() to devices.
+ * Version 13: For R 4.1.0
+ *             Added graphical definitions
+ *             - linear gradients
+ *             - radial gradients
+ *             - patterns
+ *             - clipping paths
+ *             - masks
+ *             Added deviceVersion
+ * Version 14: Added deviceClip
+ * Version 15: For R 4.2.0
+ *             Added more graphical definitions
+ *             - groups
+ *             - paths
+ *             - luminance masks
+ *             Added capabilities
+ */
+#define R_GE_definitions 13
+#define R_GE_deviceClip  14
+#define R_GE_group       15
+
+#define R_GE_version R_GE_group
+
+int R_GE_getVersion(void);
+
+void R_GE_checkVersionOrDie(int version);
+
+/* The graphics engine will only accept locations and dimensions
+ * in native device coordinates, but it provides the following functions
+ * for converting between a couple of simple alternative coordinate
+ * systems and device coordinates:
+ *    DEVICE = native units of the device
+ *    NDC = Normalised device coordinates
+ *    INCHES = inches (!)
+ *    CM = centimetres (!!)
+ */
+
+typedef enum {
+ GE_DEVICE	= 0,	/* native device coordinates (rasters) */
+ GE_NDC	= 1,	/* normalised device coordinates x=(0,1), y=(0,1) */
+ GE_INCHES = 2,
+ GE_CM     = 3
+} GEUnit;
+
+#define MAX_GRAPHICS_SYSTEMS 24
+
+typedef enum {
+    /* In response to this event, the registered graphics system
+     * should allocate and initialise the systemSpecific structure
+     *
+     * Should return R_NilValue on failure so that engine
+     * can tidy up memory allocation
+     */
+    GE_InitState = 0,
+    /* This event gives the registered system a chance to undo
+     * anything done in the initialisation.
+     */
+    GE_FinaliseState = 1,
+    /* This is sent by the graphics engine prior to initialising
+     * the display list.  It give the graphics system the chance
+     * to squirrel away information it will need for redrawing the
+     * the display list
+     */
+    GE_SaveState = 2,
+    /* This is sent by the graphics engine prior to replaying the
+     * display list.  It gives the graphics system the chance to
+     * restore any information it saved on the GE_SaveState event
+     */
+    GE_RestoreState = 6,
+    /* Copy system state information to the current device.
+     * This is used when copying graphics from one device to another
+     * so all the graphics system needs to do is to copy across
+     * the bits required for the display list to draw faithfully
+     * on the new device.
+     */
+    GE_CopyState = 3,
+    /* Create a snapshot of the system state that is sufficient
+     * for the current "image" to be reproduced
+     */
+    GE_SaveSnapshotState = 4,
+    /* Restore the system state that is saved by GE_SaveSnapshotState
+     */
+    GE_RestoreSnapshotState = 5,
+    /* When replaying the display list, the graphics engine
+     * checks, after each replayed action, that the action
+     * produced valid output.  This is the graphics system's
+     * chance to say that the output is crap (in which case the
+     * graphics engine will abort the display list replay).
+     */
+    GE_CheckPlot = 7,
+    /* The device wants to scale the current pointsize
+     * (for scaling an image)
+     * This is not a nice general solution, but a quick fix for
+     * the Windows device.
+     */
+    GE_ScalePS = 8
+} GEevent;
+
+/*
+ *  Some line end/join constants
+ */
+typedef enum {
+  GE_ROUND_CAP  = 1,
+  GE_BUTT_CAP   = 2,
+  GE_SQUARE_CAP = 3
+} R_GE_lineend;
+
+typedef enum {
+  GE_ROUND_JOIN = 1,
+  GE_MITRE_JOIN = 2,
+  GE_BEVEL_JOIN = 3
+} R_GE_linejoin;
+
+/*
+ * A structure containing graphical parameters
+ *
+ * This is how graphical parameters are passed from graphics systems
+ * to the graphics engine AND from the graphics engine to graphics
+ * devices.
+ *
+ * Devices are not *required* to honour graphical parameters
+ * (e.g., alpha transparency is going to be tough for some)
+ */
+typedef struct {
+    /*
+     * Colours
+     *
+     * NOTE:  Alpha transparency included in col & fill
+     */
+    int col;             /* pen colour (lines, text, borders, ...) */
+    int fill;            /* fill colour (for polygons, circles, rects, ...) */
+    double gamma;        /* Gamma correction */
+    /*
+     * Line characteristics
+     */
+    double lwd;          /* Line width (roughly number of pixels) */
+    int lty;             /* Line type (solid, dashed, dotted, ...) */
+    R_GE_lineend lend;   /* Line end */
+    R_GE_linejoin ljoin; /* line join */
+    double lmitre;       /* line mitre */
+    /*
+     * Text characteristics
+     */
+    double cex;          /* Character expansion (font size = fontsize*cex) */
+    double ps;           /* Font size in points */
+    double lineheight;   /* Line height (multiply by font size) */
+    int fontface;        /* Font face (plain, italic, bold, ...) */
+    char fontfamily[201]; /* Font family */
+    /*
+     * Definitions
+     */
+    SEXP patternFill;  /* Reference to a pattern fill */
+} R_GE_gcontext;
+
+typedef R_GE_gcontext* pGEcontext;
+
+
+#include <R_ext/GraphicsDevice.h> /* needed for DevDesc */
+
+typedef struct _GEDevDesc GEDevDesc;
+
+typedef SEXP (* GEcallback)(GEevent, GEDevDesc *, SEXP);
+
+typedef struct {
+    /* An array of information about each graphics system that
+     * has registered with the graphics engine.
+     * This is used to store graphics state for each graphics
+     * system on each device.
+     */
+    void *systemSpecific;
+    /*
+     * An array of function pointers, one per graphics system that
+     * has registered with the graphics engine.
+     *
+     * system_Callback is called when the graphics engine wants
+     * to give a graphics system the chance to play with its
+     * device-specific information (stored in systemSpecific)
+     * There are two parameters:  an "event" to tell the graphics
+     * system why the graphics engine has called this function,
+     * and the systemSpecific pointer.  The graphics engine
+     * has to pass the systemSpecific pointer because only
+     * the graphics engine will know what array index to use.
+     */
+    GEcallback callback;
+} GESystemDesc;
+
+struct _GEDevDesc {
+    /*
+     * Stuff that the devices can see (and modify).
+     * All detailed in GraphicsDevice.h
+     */
+    pDevDesc dev;
+    /*
+     * Stuff about the device that only the graphics engine sees
+     * (the devices don't see it).
+     */
+    Rboolean displayListOn;  /* toggle for display list status */
+    SEXP displayList;        /* display list */
+    SEXP DLlastElt;          /* A pointer to the end of the display list
+				to avoid tranversing pairlists */
+    SEXP savedSnapshot;      /* The last element of the display list
+			      * just prior to when the display list
+			      * was last initialised
+			      */
+    Rboolean dirty;          /* Has the device received any output? */
+    Rboolean recordGraphics; /* Should a graphics call be stored
+			      * on the display list?
+			      * Set to FALSE by do_recordGraphics,
+			      * do_dotcallgr, and do_Externalgr
+			      * so that nested calls are not
+			      * recorded on the display list
+			      */
+    /*
+     * Stuff about the device that only graphics systems see.
+     * The graphics engine has no idea what is in here.
+     * Used by graphics systems to store system state per device.
+     */
+    GESystemDesc *gesd[MAX_GRAPHICS_SYSTEMS];
+
+    /* per-device setting for 'ask' (use NewFrameConfirm) */
+    Rboolean ask;
+
+    /* Is a device appending a path ? */
+    Rboolean appending;
+};
+
+typedef GEDevDesc* pGEDevDesc;
+
+/* functions from devices.c for use by graphics devices */
+
+#define desc2GEDesc		Rf_desc2GEDesc
+/* map DevDesc to enclosing GEDevDesc */
+pGEDevDesc desc2GEDesc(pDevDesc dd);
+int GEdeviceNumber(pGEDevDesc);
+pGEDevDesc GEgetDevice(int);
+void GEaddDevice(pGEDevDesc);
+void GEaddDevice2(pGEDevDesc, const char *);
+void GEaddDevice2f(pGEDevDesc, const char *, const char *);
+void GEkillDevice(pGEDevDesc);
+pGEDevDesc GEcreateDevDesc(pDevDesc dev);
+
+void GEdestroyDevDesc(pGEDevDesc dd);
+void *GEsystemState(pGEDevDesc dd, int index);
+void GEregisterWithDevice(pGEDevDesc dd);
+void GEregisterSystem(GEcallback callback, int *systemRegisterIndex);
+void GEunregisterSystem(int registerIndex);
+SEXP GEhandleEvent(GEevent event, pDevDesc dev, SEXP data);
+
+#define fromDeviceX		GEfromDeviceX
+#define toDeviceX		GEtoDeviceX
+#define fromDeviceY		GEfromDeviceY
+#define toDeviceY		GEtoDeviceY
+#define fromDeviceWidth		GEfromDeviceWidth
+#define toDeviceWidth		GEtoDeviceWidth
+#define fromDeviceHeight	GEfromDeviceHeight
+#define toDeviceHeight		GEtoDeviceHeight
+
+double fromDeviceX(double value, GEUnit to, pGEDevDesc dd);
+double toDeviceX(double value, GEUnit from, pGEDevDesc dd);
+double fromDeviceY(double value, GEUnit to, pGEDevDesc dd);
+double toDeviceY(double value, GEUnit from, pGEDevDesc dd);
+double fromDeviceWidth(double value, GEUnit to, pGEDevDesc dd);
+double toDeviceWidth(double value, GEUnit from, pGEDevDesc dd);
+double fromDeviceHeight(double value, GEUnit to, pGEDevDesc dd);
+double toDeviceHeight(double value, GEUnit from, pGEDevDesc dd);
+
+/*-------------------------------------------------------------------
+ *
+ *  COLOUR CODE is concerned with the internals of R colour representation
+ *
+ *  From colors.c, used in par.c, grid/src/gpar.c
+ */
+
+typedef unsigned int rcolor;
+
+#define RGBpar			Rf_RGBpar
+#define RGBpar3			Rf_RGBpar3
+#define col2name                Rf_col2name
+
+/* Convert an element of a R colour specification (which might be a
+   number or a string) into an internal colour specification. */
+rcolor RGBpar(SEXP, int);
+rcolor RGBpar3(SEXP, int, rcolor);
+
+/* Convert an internal colour specification to/from a colour name */
+const char *col2name(rcolor col); /* used in par.c, grid */
+
+/* Convert either a name or a #RRGGBB[AA] string to internal.
+   Because people were using it, it also converts "1", "2" ...
+   to a colour in the palette, and "0" to transparent white.
+*/
+rcolor R_GE_str2col(const char *s);
+
+
+
+/*
+ *	Some Notes on Line Textures
+ *
+ *	Line textures are stored as an array of 4-bit integers within
+ *	a single 32-bit word.  These integers contain the lengths of
+ *	lines to be drawn with the pen alternately down and then up.
+ *	The device should try to arrange that these values are measured
+ *	in points if possible, although pixels is ok on most displays.
+ *
+ *	If newlty contains a line texture description it is decoded
+ *	as follows:
+ *
+ *		ndash = 0;
+ *		for(i=0 ; i<8 && newlty & 15 ; i++) {
+ *			dashlist[ndash++] = newlty & 15;
+ *			newlty = newlty>>4;
+ *		}
+ *		dashlist[0] = length of pen-down segment
+ *		dashlist[1] = length of pen-up segment
+ *		etc
+ *
+ *	An integer containing a zero terminates the pattern.  Hence
+ *	ndash in this code fragment gives the length of the texture
+ *	description.  If a description contains an odd number of
+ *	elements it is replicated to create a pattern with an
+ *	even number of elements.  (If this is a pain, do something
+ *	different its not crucial).
+ *
+ */
+
+/*--- The basic numbered & names line types; Here device-independent:
+  e.g. "dashed" == "44",  "dotdash" == "1343"
+*/
+
+/* NB: was also in Rgraphics.h in R < 2.7.0 */
+#define LTY_BLANK	-1
+#define LTY_SOLID	0
+#define LTY_DASHED	4 + (4<<4)
+#define LTY_DOTTED	1 + (3<<4)
+#define LTY_DOTDASH	1 + (3<<4) + (4<<8) + (3<<12)
+#define LTY_LONGDASH	7 + (3<<4)
+#define LTY_TWODASH	2 + (2<<4) + (6<<8) + (2<<12)
+
+R_GE_lineend GE_LENDpar(SEXP value, int ind);
+SEXP GE_LENDget(R_GE_lineend lend);
+R_GE_linejoin GE_LJOINpar(SEXP value, int ind);
+SEXP GE_LJOINget(R_GE_linejoin ljoin);
+
+void GESetClip(double x1, double y1, double x2, double y2, pGEDevDesc dd);
+void GENewPage(const pGEcontext gc, pGEDevDesc dd);
+void GELine(double x1, double y1, double x2, double y2,
+	    const pGEcontext gc, pGEDevDesc dd);
+void GEPolyline(int n, double *x, double *y,
+		const pGEcontext gc, pGEDevDesc dd);
+void GEPolygon(int n, double *x, double *y,
+	       const pGEcontext gc, pGEDevDesc dd);
+SEXP GEXspline(int n, double *x, double *y, double *s, Rboolean open,
+	       Rboolean repEnds, Rboolean draw,
+	       const pGEcontext gc, pGEDevDesc dd);
+void GECircle(double x, double y, double radius,
+	      const pGEcontext gc, pGEDevDesc dd);
+void GERect(double x0, double y0, double x1, double y1,
+	    const pGEcontext gc, pGEDevDesc dd);
+void GEPath(double *x, double *y,
+            int npoly, int *nper,
+            Rboolean winding,
+            const pGEcontext gc, pGEDevDesc dd);
+void GERaster(unsigned int *raster, int w, int h,
+              double x, double y, double width, double height,
+              double angle, Rboolean interpolate,
+              const pGEcontext gc, pGEDevDesc dd);
+SEXP GECap(pGEDevDesc dd);
+void GEText(double x, double y, const char * const str, cetype_t enc,
+	    double xc, double yc, double rot,
+	    const pGEcontext gc, pGEDevDesc dd);
+void GEMode(int mode, pGEDevDesc dd);
+void GESymbol(double x, double y, int pch, double size,
+	      const pGEcontext gc, pGEDevDesc dd);
+void GEPretty(double *lo, double *up, int *ndiv);
+void GEMetricInfo(int c, const pGEcontext gc,
+		  double *ascent, double *descent, double *width,
+		  pGEDevDesc dd);
+double GEStrWidth(const char *str, cetype_t enc,
+		  const pGEcontext gc, pGEDevDesc dd);
+double GEStrHeight(const char *str, cetype_t enc,
+		  const pGEcontext gc, pGEDevDesc dd);
+void GEStrMetric(const char *str, cetype_t enc, const pGEcontext gc,
+                 double *ascent, double *descent, double *width,
+                 pGEDevDesc dd);
+int GEstring_to_pch(SEXP pch);
+
+/*-------------------------------------------------------------------
+ *
+ *  LINE TEXTURE CODE is concerned with the internals of R
+ *  line texture representation.
+ */
+unsigned int GE_LTYpar(SEXP, int);
+SEXP GE_LTYget(unsigned int);
+
+/*
+ * Raster operations
+ */
+void R_GE_rasterScale(unsigned int *sraster, int sw, int sh,
+                      unsigned int *draster, int dw, int dh);
+void R_GE_rasterInterpolate(unsigned int *sraster, int sw, int sh,
+                            unsigned int *draster, int dw, int dh);
+void R_GE_rasterRotatedSize(int w, int h, double angle,
+                            int *wnew, int *hnew);
+void R_GE_rasterRotatedOffset(int w, int h, double angle, int botleft,
+                              double *xoff, double *yoff);
+void R_GE_rasterResizeForRotation(unsigned int *sraster,
+                                  int w, int h,
+                                  unsigned int *newRaster,
+                                  int wnew, int hnew,
+                                  const pGEcontext gc);
+void R_GE_rasterRotate(unsigned int *sraster, int w, int h, double angle,
+                       unsigned int *draster, const pGEcontext gc,
+                       Rboolean perPixelAlpha);
+
+
+/*
+ * From plotmath.c
+ */
+double GEExpressionWidth(SEXP expr,
+			 const pGEcontext gc, pGEDevDesc dd);
+double GEExpressionHeight(SEXP expr,
+			  const pGEcontext gc, pGEDevDesc dd);
+void GEExpressionMetric(SEXP expr, const pGEcontext gc,
+                        double *ascent, double *descent, double *width,
+                        pGEDevDesc dd);
+void GEMathText(double x, double y, SEXP expr,
+		double xc, double yc, double rot,
+		const pGEcontext gc, pGEDevDesc dd);
+/*
+ * (End from plotmath.c)
+ */
+
+/*
+ * From plot3d.c : used in package clines
+ */
+SEXP GEcontourLines(double *x, int nx, double *y, int ny,
+		    double *z, double *levels, int nl);
+/*
+ * (End from plot3d.c)
+ */
+
+/*
+ * From vfonts.c
+ */
+double R_GE_VStrWidth(const char *s, cetype_t enc, const pGEcontext gc, pGEDevDesc dd);
+
+double R_GE_VStrHeight(const char *s, cetype_t enc, const pGEcontext gc, pGEDevDesc dd);
+void R_GE_VText(double x, double y, const char * const s, cetype_t enc,
+		double x_justify, double y_justify, double rotation,
+		const pGEcontext gc, pGEDevDesc dd);
+/*
+ * (End from vfonts.c)
+ */
+
+/* Also in Graphics.h */
+#define	DEG2RAD 0.01745329251994329576
+
+pGEDevDesc GEcurrentDevice(void);
+Rboolean GEdeviceDirty(pGEDevDesc dd);
+void GEdirtyDevice(pGEDevDesc dd);
+Rboolean GEcheckState(pGEDevDesc dd);
+Rboolean GErecording(SEXP call, pGEDevDesc dd);
+void GErecordGraphicOperation(SEXP op, SEXP args, pGEDevDesc dd);
+void GEinitDisplayList(pGEDevDesc dd);
+void GEplayDisplayList(pGEDevDesc dd);
+void GEcopyDisplayList(int fromDevice);
+SEXP GEcreateSnapshot(pGEDevDesc dd);
+void GEplaySnapshot(SEXP snapshot, pGEDevDesc dd);
+void GEonExit(void);
+void GEnullDevice(void);
+
+
+/* From ../../main/plot.c, used by ../../library/grid/src/grid.c : */
+#define CreateAtVector		Rf_CreateAtVector
+SEXP CreateAtVector(double axp[], const double usr[], int nint, Rboolean logflag);
+/* From ../../main/graphics.c, used by ../../library/grDevices/src/axis_scales.c : */
+#define GAxisPars 		Rf_GAxisPars
+void GAxisPars(double *min, double *max, int *n, Rboolean log, int axis);
+
+/* Patterns - from ../../main/patterns.c */
+Rboolean R_GE_isPattern(SEXP x);
+#define R_GE_linearGradientPattern 1
+#define R_GE_radialGradientPattern 2
+#define R_GE_tilingPattern         3
+int R_GE_patternType(SEXP pattern);
+
+double R_GE_linearGradientX1(SEXP pattern);
+double R_GE_linearGradientY1(SEXP pattern);
+double R_GE_linearGradientX2(SEXP pattern);
+double R_GE_linearGradientY2(SEXP pattern);
+int R_GE_linearGradientNumStops(SEXP pattern);
+double R_GE_linearGradientStop(SEXP pattern, int i);
+rcolor R_GE_linearGradientColour(SEXP pattern, int i);
+/* Must match order in ../library/grDevices/R/patterns.R */
+#define R_GE_patternExtendPad 1
+#define R_GE_patternExtendRepeat 2
+#define R_GE_patternExtendReflect 3
+#define R_GE_patternExtendNone 4
+int R_GE_linearGradientExtend(SEXP pattern);
+
+double R_GE_radialGradientCX1(SEXP pattern);
+double R_GE_radialGradientCY1(SEXP pattern);
+double R_GE_radialGradientR1(SEXP pattern);
+double R_GE_radialGradientCX2(SEXP pattern);
+double R_GE_radialGradientCY2(SEXP pattern);
+double R_GE_radialGradientR2(SEXP pattern);
+int R_GE_radialGradientNumStops(SEXP pattern);
+double R_GE_radialGradientStop(SEXP pattern, int i);
+rcolor R_GE_radialGradientColour(SEXP pattern, int i);
+int R_GE_radialGradientExtend(SEXP pattern);
+
+SEXP R_GE_tilingPatternFunction(SEXP pattern);
+double R_GE_tilingPatternX(SEXP pattern);
+double R_GE_tilingPatternY(SEXP pattern);
+double R_GE_tilingPatternWidth(SEXP pattern);
+double R_GE_tilingPatternHeight(SEXP pattern);
+int R_GE_tilingPatternExtend(SEXP pattern);
+
+/* Composition operators */
+/* Must match order in ../library/grDevices/R/group.R */
+/* Porter-Duff */
+#define R_GE_compositeClear 1
+#define R_GE_compositeSource 2
+#define R_GE_compositeOver 3
+#define R_GE_compositeIn 4
+#define R_GE_compositeOut 5
+#define R_GE_compositeAtop 6
+#define R_GE_compositeDest 7
+#define R_GE_compositeDestOver 8
+#define R_GE_compositeDestIn 9
+#define R_GE_compositeDestOut 10
+#define R_GE_compositeDestAtop 11
+#define R_GE_compositeXor 12
+/* Additional Porter-Duff */
+#define R_GE_compositeAdd 13
+#define R_GE_compositeSaturate 14
+/* PDF Blend Modes */
+#define R_GE_compositeMultiply 15
+#define R_GE_compositeScreen 16
+#define R_GE_compositeOverlay 17
+#define R_GE_compositeDarken 18
+#define R_GE_compositeLighten 19
+#define R_GE_compositeColorDodge 20
+#define R_GE_compositeColorBurn 21
+#define R_GE_compositeHardLight 22
+#define R_GE_compositeSoftLight 23
+#define R_GE_compositeDifference 24
+#define R_GE_compositeExclusion 25
+
+/* Path rules */
+/* Must match order in ../library/grDevices/R/path.R */
+#define R_GE_nonZeroWindingRule 1
+#define R_GE_evenOddRule        2
+
+int R_GE_clipPathFillRule(SEXP path);
+
+void GEStroke(SEXP path, const pGEcontext gc, pGEDevDesc dd);
+void GEFill(SEXP path, int rule, const pGEcontext gc, pGEDevDesc dd);
+void GEFillStroke(SEXP path, int rule, const pGEcontext gc, pGEDevDesc dd);
+
+/* Mask types */
+/* Must match order in ../library/grDevices/R/mask.R */
+#define R_GE_alphaMask     1
+#define R_GE_luminanceMask 2
+
+int R_GE_maskType(SEXP mask);
+
+/* Device capabilities */
+/* Must match order in ../library/grDevices/R/device.R */
+#define R_GE_capability_semiTransparency      0
+#define R_GE_capability_transparentBackground 1
+#define R_GE_capability_rasterImage           2
+#define R_GE_capability_capture               3
+#define R_GE_capability_locator               4
+#define R_GE_capability_events                5
+#define R_GE_capability_patterns              6
+#define R_GE_capability_clippingPaths         7
+#define R_GE_capability_masks                 8
+#define R_GE_capability_compositing           9
+#define R_GE_capability_transformations      10
+#define R_GE_capability_paths                11 
+
+#ifdef __cplusplus
+}
+#endif
+
+#endif /* R_GRAPHICSENGINE_ */
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/include/R_ext/Altrep.h
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/include/R_ext/Altrep.h	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/include/R_ext/Altrep.h	(revision 3761)
@@ -0,0 +1,163 @@
+/*
+ *  R : A Computer Language for Statistical Data Analysis
+ *  Copyright (C) 2016  The R Core Team.
+ *
+ *  This program is free software; you can redistribute it and/or modify
+ *  it under the terms of the GNU Lesser General Public License as published by
+ *  the Free Software Foundation; either version 2.1 of the License, or
+ *  (at your option) any later version.
+ *
+ *  This program is distributed in the hope that it will be useful,
+ *  but WITHOUT ANY WARRANTY; without even the implied warranty of
+ *  MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
+ *  GNU Lesser General Public License for more details.
+ *
+ *  You should have received a copy of the GNU Lesser General Public License
+ *  along with this program; if not, a copy is available at
+ *  https://www.R-project.org/Licenses/
+ */
+
+#ifndef R_EXT_ALTREP_H_
+#define R_EXT_ALTREP_H_
+
+#ifdef  __cplusplus
+extern "C" {
+#endif
+
+#define STRUCT_SUBTYPES
+#ifdef STRUCT_SUBTYPES
+# define R_SEXP(x) (x).ptr
+# define R_SUBTYPE_INIT(x) { x }
+  typedef struct { SEXP ptr; } R_altrep_class_t;
+#else
+# define R_SEXP(x) ((SEXP) (x))
+# define R_SUBTYPE_INIT(x) (void *) (x)
+  typedef struct R_altcls *R_altrep_class_t;
+#endif
+
+SEXP
+R_new_altrep(R_altrep_class_t aclass, SEXP data1, SEXP data2);
+
+R_altrep_class_t
+R_make_altstring_class(const char *cname, const char *pname, DllInfo *info);
+R_altrep_class_t
+R_make_altinteger_class(const char *cname, const char *pname, DllInfo *info);
+R_altrep_class_t
+R_make_altreal_class(const char *cname, const char *pname, DllInfo *info);
+R_altrep_class_t
+R_make_altlogical_class(const char *cname, const char *pname, DllInfo *info);
+R_altrep_class_t
+R_make_altraw_class(const char *cname, const char *pname, DllInfo *info);
+R_altrep_class_t
+R_make_altcomplex_class(const char *cname, const char *pname, DllInfo *info);
+
+Rboolean R_altrep_inherits(SEXP x, R_altrep_class_t);
+
+typedef SEXP (*R_altrep_UnserializeEX_method_t)(SEXP, SEXP, SEXP, int, int);
+typedef SEXP (*R_altrep_Unserialize_method_t)(SEXP, SEXP);
+typedef SEXP (*R_altrep_Serialized_state_method_t)(SEXP);
+typedef SEXP (*R_altrep_DuplicateEX_method_t)(SEXP, Rboolean);
+typedef SEXP (*R_altrep_Duplicate_method_t)(SEXP, Rboolean);
+typedef SEXP (*R_altrep_Coerce_method_t)(SEXP, int);
+typedef Rboolean (*R_altrep_Inspect_method_t)(SEXP, int, int, int,
+					      void (*)(SEXP, int, int, int));
+typedef R_xlen_t (*R_altrep_Length_method_t)(SEXP);
+
+typedef void *(*R_altvec_Dataptr_method_t)(SEXP, Rboolean);
+typedef const void *(*R_altvec_Dataptr_or_null_method_t)(SEXP);
+typedef SEXP (*R_altvec_Extract_subset_method_t)(SEXP, SEXP, SEXP);
+
+typedef int (*R_altinteger_Elt_method_t)(SEXP, R_xlen_t);
+typedef R_xlen_t
+(*R_altinteger_Get_region_method_t)(SEXP, R_xlen_t, R_xlen_t, int *);
+typedef int (*R_altinteger_Is_sorted_method_t)(SEXP);
+typedef int (*R_altinteger_No_NA_method_t)(SEXP);
+typedef SEXP (*R_altinteger_Sum_method_t)(SEXP, Rboolean); 
+typedef SEXP (*R_altinteger_Min_method_t)(SEXP, Rboolean);
+typedef SEXP (*R_altinteger_Max_method_t)(SEXP, Rboolean);
+
+typedef double (*R_altreal_Elt_method_t)(SEXP, R_xlen_t);
+typedef R_xlen_t
+(*R_altreal_Get_region_method_t)(SEXP, R_xlen_t, R_xlen_t, double *);
+typedef int (*R_altreal_Is_sorted_method_t)(SEXP);
+typedef int (*R_altreal_No_NA_method_t)(SEXP);
+typedef SEXP (*R_altreal_Sum_method_t)(SEXP, Rboolean); 
+typedef SEXP (*R_altreal_Min_method_t)(SEXP, Rboolean);
+typedef SEXP (*R_altreal_Max_method_t)(SEXP, Rboolean);
+
+typedef int (*R_altlogical_Elt_method_t)(SEXP, R_xlen_t);
+typedef R_xlen_t
+(*R_altlogical_Get_region_method_t)(SEXP, R_xlen_t, R_xlen_t, int *);
+typedef int (*R_altlogical_Is_sorted_method_t)(SEXP);
+typedef int (*R_altlogical_No_NA_method_t)(SEXP);
+typedef SEXP (*R_altlogical_Sum_method_t)(SEXP, Rboolean);
+
+typedef Rbyte (*R_altraw_Elt_method_t)(SEXP, R_xlen_t);
+typedef R_xlen_t
+(*R_altraw_Get_region_method_t)(SEXP, R_xlen_t, R_xlen_t, Rbyte *);
+
+typedef Rcomplex (*R_altcomplex_Elt_method_t)(SEXP, R_xlen_t);
+typedef R_xlen_t
+(*R_altcomplex_Get_region_method_t)(SEXP, R_xlen_t, R_xlen_t, Rcomplex *);
+
+typedef SEXP (*R_altstring_Elt_method_t)(SEXP, R_xlen_t);
+typedef void (*R_altstring_Set_elt_method_t)(SEXP, R_xlen_t, SEXP);
+typedef int (*R_altstring_Is_sorted_method_t)(SEXP);
+typedef int (*R_altstring_No_NA_method_t)(SEXP);
+
+#define DECLARE_METHOD_SETTER(CNAME, MNAME)				\
+    void								\
+    R_set_##CNAME##_##MNAME##_method(R_altrep_class_t cls,		\
+				     R_##CNAME##_##MNAME##_method_t fun);
+
+DECLARE_METHOD_SETTER(altrep, UnserializeEX)
+DECLARE_METHOD_SETTER(altrep, Unserialize)
+DECLARE_METHOD_SETTER(altrep, Serialized_state)
+DECLARE_METHOD_SETTER(altrep, DuplicateEX)
+DECLARE_METHOD_SETTER(altrep, Duplicate)
+DECLARE_METHOD_SETTER(altrep, Coerce)
+DECLARE_METHOD_SETTER(altrep, Inspect)
+DECLARE_METHOD_SETTER(altrep, Length)
+
+DECLARE_METHOD_SETTER(altvec, Dataptr)
+DECLARE_METHOD_SETTER(altvec, Dataptr_or_null)
+DECLARE_METHOD_SETTER(altvec, Extract_subset)
+
+DECLARE_METHOD_SETTER(altinteger, Elt)
+DECLARE_METHOD_SETTER(altinteger, Get_region)
+DECLARE_METHOD_SETTER(altinteger, Is_sorted)
+DECLARE_METHOD_SETTER(altinteger, No_NA)
+DECLARE_METHOD_SETTER(altinteger, Sum)
+DECLARE_METHOD_SETTER(altinteger, Min)
+DECLARE_METHOD_SETTER(altinteger, Max)
+
+DECLARE_METHOD_SETTER(altreal, Elt)
+DECLARE_METHOD_SETTER(altreal, Get_region)
+DECLARE_METHOD_SETTER(altreal, Is_sorted)
+DECLARE_METHOD_SETTER(altreal, No_NA)
+DECLARE_METHOD_SETTER(altreal, Sum)
+DECLARE_METHOD_SETTER(altreal, Min)
+DECLARE_METHOD_SETTER(altreal, Max)
+
+DECLARE_METHOD_SETTER(altlogical, Elt)
+DECLARE_METHOD_SETTER(altlogical, Get_region)
+DECLARE_METHOD_SETTER(altlogical, Is_sorted)
+DECLARE_METHOD_SETTER(altlogical, No_NA)
+DECLARE_METHOD_SETTER(altlogical, Sum)
+
+DECLARE_METHOD_SETTER(altraw, Elt)
+DECLARE_METHOD_SETTER(altraw, Get_region)
+
+DECLARE_METHOD_SETTER(altcomplex, Elt)
+DECLARE_METHOD_SETTER(altcomplex, Get_region)
+
+DECLARE_METHOD_SETTER(altstring, Elt)
+DECLARE_METHOD_SETTER(altstring, Set_elt)
+DECLARE_METHOD_SETTER(altstring, Is_sorted)
+DECLARE_METHOD_SETTER(altstring, No_NA)
+
+#ifdef  __cplusplus
+}
+#endif
+
+#endif /* R_EXT_ALTREP_H_ */
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/include/R_ext/Visibility.h
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/include/R_ext/Visibility.h	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/include/R_ext/Visibility.h	(revision 3761)
@@ -0,0 +1,43 @@
+/*
+ *  R : A Computer Language for Statistical Data Analysis
+ *  Copyright (C) 2008    the R Core Team
+ *
+ *  This header file is free software; you can redistribute it and/or modify
+ *  it under the terms of the GNU Lesser General Public License as published by
+ *  the Free Software Foundation; either version 2.1 of the License, or
+ *  (at your option) any later version.
+ *
+ *  This file is part of R. R is distributed under the terms of the
+ *  GNU General Public License, either Version 2, June 1991 or Version 3,
+ *  June 2007. See doc/COPYRIGHTS for details of the copyright status of R.
+ *
+ *  This program is distributed in the hope that it will be useful,
+ *  but WITHOUT ANY WARRANTY; without even the implied warranty of
+ *  MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
+ *  GNU Lesser General Public License for more details.
+ *
+ *  You should have received a copy of the GNU Lesser General Public License
+ *  along with this program; if not, a copy is available at
+ *  https://www.R-project.org/Licenses/
+ */
+
+/*
+  Definitions controlling visibility on some platforms.
+
+  Part of the API.
+*/
+
+#ifndef R_EXT_VISIBILITY_H_
+#define R_EXT_VISIBILITY_H_
+
+#include <Rconfig.h>
+
+#ifdef HAVE_VISIBILITY_ATTRIBUTE
+# define attribute_visible __attribute__ ((visibility ("default")))
+# define attribute_hidden __attribute__ ((visibility ("hidden")))
+#else
+# define attribute_visible
+# define attribute_hidden
+#endif
+
+#endif /* R_EXT_VISIBILITY_H_ */
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/include/R_ext/Error.h
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/include/R_ext/Error.h	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/include/R_ext/Error.h	(revision 3761)
@@ -0,0 +1,57 @@
+/*
+ *  R : A Computer Language for Statistical Data Analysis
+ *  Copyright (C) 1998-2005   The R Core Team
+ *
+ *  This header file is free software; you can redistribute it and/or modify
+ *  it under the terms of the GNU Lesser General Public License as published by
+ *  the Free Software Foundation; either version 2.1 of the License, or
+ *  (at your option) any later version.
+ *
+ *  This file is part of R. R is distributed under the terms of the
+ *  GNU General Public License, either Version 2, June 1991 or Version 3,
+ *  June 2007. See doc/COPYRIGHTS for details of the copyright status of R.
+ *
+ *  This program is distributed in the hope that it will be useful,
+ *  but WITHOUT ANY WARRANTY; without even the implied warranty of
+ *  MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
+ *  GNU Lesser General Public License for more details.
+ *
+ *  You should have received a copy of the GNU Lesser General Public License
+ *  along with this program; if not, a copy is available at
+ *  https://www.R-project.org/Licenses/
+ */
+
+/* Included by R.h: API */
+
+#ifndef R_ERROR_H_
+#define R_ERROR_H_
+
+#ifdef  __cplusplus
+extern "C" {
+#endif
+
+#if defined(__GNUC__) && __GNUC__ >= 3
+#define NORET __attribute__((noreturn))
+#else
+#define NORET
+#endif
+
+void NORET Rf_error(const char *, ...);
+void NORET UNIMPLEMENTED(const char *);
+void NORET WrongArgCount(const char *);
+
+void	Rf_warning(const char *, ...);
+void 	R_ShowMessage(const char *s);
+    
+
+#ifdef  __cplusplus
+}
+#endif
+
+#ifndef R_NO_REMAP
+#define error Rf_error
+#define warning Rf_warning
+#endif
+
+
+#endif /* R_ERROR_H_ */
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/include/R_ext/Lapack.h
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/include/R_ext/Lapack.h	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/include/R_ext/Lapack.h	(revision 3761)
@@ -0,0 +1,3192 @@
+/*
+ *  R : A Computer Language for Statistical Data Analysis
+ *  Copyright (C) 2003-2019 The R Core Team.
+ *  Copyright (C) 2008-2019 The R Foundation
+ *
+ *  This header file is free software; you can redistribute it and/or modify
+ *  it under the terms of the GNU Lesser General Public License as published by
+ *  the Free Software Foundation; either version 2.1 of the License, or
+ *  (at your option) any later version.
+ *
+ *  This file is part of R. R is distributed under the terms of the
+ *  GNU General Public License, either Version 2, June 1991 or Version 3,
+ *  June 2007. See doc/COPYRIGHTS for details of the copyright status of R.
+ *
+ *  This program is distributed in the hope that it will be useful,
+ *  but WITHOUT ANY WARRANTY; without even the implied warranty of
+ *  MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
+ *  GNU Lesser General Public License for more details.
+ *
+ *  You should have received a copy of the GNU Lesser General Public License
+ *  along with this program; if not, a copy is available at
+ *  https://www.R-project.org/Licenses/
+ */
+
+/*
+   C declarations of LAPACK Fortran subroutines included in R.
+   Those used (currently or previously) by C routines in R itself,
+   plus a few used in packages.
+
+   Part of the API.
+
+   R packages that use these should have PKG_LIBS in src/Makevars include 
+   $(LAPACK_LIBS) $(BLAS_LIBS) $(FLIBS)
+ */
+
+
+#ifndef R_LAPACK_H
+#define R_LAPACK_H
+
+#include <R_ext/RS.h>		/* for F77_... */
+#include <R_ext/Complex.h>	/* for Rcomplex */
+#include <R_ext/BLAS.h>         /* defines FCLEN */
+
+/*
+  LAPACK function names are [dz]<name>(), where d denotes the real
+  version of the function, z the complex version.  (Only
+  double-precision versions are used in R.)
+*/
+
+#ifdef	__cplusplus
+extern "C" {
+#endif
+
+/* The LAPACK version: might change after installation with
+   external LAPACK
+*/
+extern void F77_NAME(ilaver)(int *major, int *minor, int *patch);
+
+// Never defined by R itself.
+#ifndef La_extern
+#define La_extern extern
+#endif
+
+// Utilities for Lapack-using packages :
+// ------------------------------------
+
+/* matrix norms: converting typstr[]  to one of {'M', 'O', 'I', 'F'}
+ * or signal error(): */
+// La_extern char La_norm_type(const char *typstr);
+
+/* matrix (reciprocal) condition numbers: convert typstr[]  to 'O'(ne) or 'I'(nf)
+ * or signal error(): */
+// La_extern char La_rcond_type(const char *typstr);
+
+
+/* Selected Double Precision Lapack Routines
+   ========
+ */
+
+//* Double precision BiDiagonal and DIagonal matrices  -> DBD & DDI
+
+/* DBDSQR - compute the singular value decomposition (SVD) of a real */
+/* N-by-N (upper or lower) bidiagonal matrix B */
+La_extern void
+F77_NAME(dbdsqr)(const char* uplo, const int* n, const int* ncvt,
+		 const int* nru, const int* ncc, double* d, double* e,
+		 double* vt, const int* ldvt, double* u, const int* ldu,
+		 double* c, const int* ldc, double* work, int* info FCLEN);
+/* DDISNA - compute the reciprocal condition numbers for the */
+/* eigenvectors of a real symmetric or complex Hermitian matrix or */
+/* for the left or right singular vectors of a general m-by-n */
+/* matrix */
+La_extern void
+F77_NAME(ddisna)(const char* job, const int* m, const int* n,
+		 double* d, double* sep, int* info FCLEN);
+
+
+//* Double precision General Banded matrices -> DGB
+
+/* DGBBRD - reduce a real general m-by-n band matrix A to upper */
+/* bidiagonal form B by an orthogonal transformation  */
+La_extern void
+F77_NAME(dgbbrd)(const char* vect, const int* m, const int* n,
+		 const int* ncc, const int* kl, const int* ku,
+		 double* ab, const int* ldab,
+		 double* d, double* e, double* q,
+		 const int* ldq, double* pt, const int* ldpt,
+		 double* c, const int* ldc,
+		 double* work, int* info FCLEN);
+/* DGBCON - estimate the reciprocal of the condition number of a */
+/* real general band matrix A, in either the 1-norm or the */
+/* infinity-norm */
+La_extern void
+F77_NAME(dgbcon)(const char* norm, const int* n, const int* kl,
+		 const int* ku, double* ab, const int* ldab,
+		 int* ipiv, const double* anorm, double* rcond,
+		 double* work, int* iwork, int* info FCLEN);
+/* DGBEQU - compute row and column scalings intended to equilibrate */
+/* an M-by-N band matrix A and reduce its condition number */
+La_extern void
+F77_NAME(dgbequ)(const int* m, const int* n, const int* kl, const int* ku,
+		 double* ab, const int* ldab, double* r, double* c,
+		 double* rowcnd, double* colcnd, double* amax, int* info);
+/* DGBRFS - improve the computed solution to a system of linear */
+/* equations when the coefficient matrix is banded, and provides */
+/* error bounds and backward error estimates for the solution */
+La_extern void
+F77_NAME(dgbrfs)(const char* trans, const int* n, const int* kl,
+		 const int* ku, const int* nrhs, double* ab,
+		 const int* ldab, double* afb, const int* ldafb,
+		 int* ipiv, double* b, const int* ldb,
+		 double* x, const int* ldx, double* ferr, double* berr,
+		 double* work, int* iwork, int* info FCLEN);
+/* DGBSV - compute the solution to a real system of linear */
+/* equations A * X = B, where A is a band matrix of order N with */
+/* KL subdiagonals and KU superdiagonals, and X and B are */
+/* N-by-NRHS matrices */
+La_extern void
+F77_NAME(dgbsv)(const int* n, const int* kl,const int* ku,
+		const int* nrhs, double* ab, const int* ldab,
+		int* ipiv, double* b, const int* ldb, int* info);
+/* DGBSVX - use the LU factorization to compute the solution to a */
+/* real system of linear equations A * X = B or A**T * X = B */
+La_extern void
+F77_NAME(dgbsvx)(const int* fact, const char* trans,
+		 const int* n, const int* kl,const int* ku,
+		 const int* nrhs, double* ab, const int* ldab,
+		 double* afb, const int* ldafb, int* ipiv,
+		 const char* equed, double* r, double* c,
+		 double* b, const int* ldb,
+		 double* x, const int* ldx,
+		 double* rcond, double* ferr, double* berr,
+		 double* work, int* iwork, int* info FCLEN FCLEN);
+/* DGBTF2 - compute an LU factorization of a real m-by-n band */
+/* matrix A using partial pivoting with row interchanges */
+La_extern void
+F77_NAME(dgbtf2)(const int* m, const int* n, const int* kl,const int* ku,
+		 double* ab, const int* ldab, int* ipiv, int* info);
+/* DGBTRF - compute an LU factorization of a real m-by-n band */
+/* matrix A using partial pivoting with row interchanges */
+La_extern void
+F77_NAME(dgbtrf)(const int* m, const int* n, const int* kl,const int* ku,
+		  double* ab, const int* ldab, int* ipiv, int* info);
+/* DGBTRS - solve a system of linear equations	A * X = B or  */
+/* A' * X = B with a general band matrix A using the LU */
+/* factorization computed by DGBTRF */
+La_extern void
+F77_NAME(dgbtrs)(const char* trans, const int* n,
+		 const int* kl, const int* ku, const int* nrhs,
+		 const double* ab, const int* ldab, const int* ipiv,
+		 double* b, const int* ldb, int* info FCLEN);
+
+
+//* Double precision GEneral matrices -> DGE
+
+/* DGEBAK - form the right or left eigenvectors of a real general */
+/* matrix by backward transformation on the computed eigenvectors */
+/* of the balanced matrix output by DGEBAL  */
+La_extern void
+F77_NAME(dgebak)(const char* job, const char* side, const int* n,
+		 const int* ilo, const int* ihi, double* scale,
+		 const int* m, double* v, const int* ldv, int* info
+		 FCLEN FCLEN);
+/* DGEBAL - balance a general real matrix A */
+La_extern void
+F77_NAME(dgebal)(const char* job, const int* n, double* a, const int* lda,
+		 int* ilo, int* ihi, double* scale, int* info FCLEN);
+/* DGEBD2 - reduce a real general m by n matrix A to upper or */
+/* lower bidiagonal form B by an orthogonal transformation */
+La_extern void
+F77_NAME(dgebd2)(const int* m, const int* n, double* a, const int* lda,
+		 double* d, double* e, double* tauq, double* taup,
+		 double* work, int* info);
+/* DGEBRD - reduce a general real M-by-N matrix A to upper or */
+/* lower bidiagonal form B by an orthogonal transformation */
+La_extern void
+F77_NAME(dgebrd)(const int* m, const int* n, double* a, const int* lda,
+		 double* d, double* e, double* tauq, double* taup,
+		 double* work, const int* lwork, int* info);
+/* DGECON - estimate the reciprocal of the condition number of a */
+/* general real matrix A, in either the 1-norm or the */
+/* infinity-norm, using the LU factorization computed by DGETRF */
+La_extern void
+F77_NAME(dgecon)(const char* norm, const int* n,
+		 const double* a, const int* lda,
+		 const double* anorm, double* rcond,
+		 double* work, int* iwork, int* info FCLEN);
+/* DGEEQU - compute row and column scalings intended to equilibrate */
+/* an M-by-N matrix A and reduce its condition number */
+La_extern void
+F77_NAME(dgeequ)(const int* m, const int* n, double* a, const int* lda,
+		 double* r, double* c, double* rowcnd, double* colcnd,
+		 double* amax, int* info);
+/* DGEES - compute for an N-by-N real nonsymmetric matrix A, the */
+/* eigenvalues, the real Schur form T, and, optionally, the matrix */
+/* of Schur vectors Z */
+La_extern void
+F77_NAME(dgees)(const char* jobvs, const char* sort,
+		int (*select)(const double*, const double*),
+		const int* n, double* a, const int* lda,
+		int* sdim, double* wr, double* wi,
+		double* vs, const int* ldvs,
+		double* work, const int* lwork, int* bwork, int* info 
+		FCLEN FCLEN);
+/* DGEESX - compute for an N-by-N real nonsymmetric matrix A, the */
+/* eigenvalues, the real Schur form T, and, optionally, the matrix */
+/* of Schur vectors Z */
+La_extern void
+F77_NAME(dgeesx)(const char* jobvs, const char* sort,
+		 int (*select)(const double*, const double*),
+		 const char* sense, const int* n, double* a,
+		 const int* lda, int* sdim, double* wr, double* wi,
+		 double* vs, const int* ldvs, double* rconde,
+		 double* rcondv, double* work, const int* lwork,
+		 int* iwork, const int* liwork, int* bwork, int* info
+		 FCLEN FCLEN FCLEN);
+/* DGEEV - compute for an N-by-N real nonsymmetric matrix A, the */
+/* eigenvalues and, optionally, the left and/or right eigenvectors */
+La_extern void
+F77_NAME(dgeev)(const char* jobvl, const char* jobvr,
+		const int* n, double* a, const int* lda,
+		double* wr, double* wi, double* vl, const int* ldvl,
+		double* vr, const int* ldvr,
+		double* work, const int* lwork, int* info FCLEN FCLEN);
+/* DGEEVX - compute for an N-by-N real nonsymmetric matrix A, the */
+/* eigenvalues and, optionally, the left and/or right eigenvectors */
+La_extern void
+F77_NAME(dgeevx)(const char* balanc, const char* jobvl, const char* jobvr,
+		 const char* sense, const int* n, double* a, const int* lda,
+		 double* wr, double* wi, double* vl, const int* ldvl,
+		 double* vr, const int* ldvr, int* ilo, int* ihi,
+		 double* scale, double* abnrm, double* rconde, double* rcondv,
+		 double* work, const int* lwork, int* iwork, int* info
+		 FCLEN FCLEN FCLEN FCLEN);
+/* DGEHD2 - reduce a real general matrix A to upper Hessenberg */
+/* form H by an orthogonal similarity transformation */
+La_extern void
+F77_NAME(dgehd2)(const int* n, const int* ilo, const int* ihi,
+		 double* a, const int* lda, double* tau,
+		 double* work, int* info);
+/* DGEHRD - reduce a real general matrix A to upper Hessenberg */
+/* form H by an orthogonal similarity transformation */
+La_extern void
+F77_NAME(dgehrd)(const int* n, const int* ilo, const int* ihi,
+		 double* a, const int* lda, double* tau,
+		 double* work, const int* lwork, int* info);
+/* DGELQ2 - compute an LQ factorization of a real m by n matrix A */
+La_extern void
+F77_NAME(dgelq2)(const int* m, const int* n,
+		 double* a, const int* lda, double* tau,
+		 double* work, int* info);
+/* DGELQF - compute an LQ factorization of a real M-by-N matrix A */
+La_extern void
+F77_NAME(dgelqf)(const int* m, const int* n,
+		 double* a, const int* lda, double* tau,
+		 double* work, const int* lwork, int* info);
+/* DGELS - solve overdetermined or underdetermined real linear */
+/* systems involving an M-by-N matrix A, or its transpose, using a */
+/* QR or LQ factorization of A */
+La_extern void
+F77_NAME(dgels)(const char* trans, const int* m, const int* n,
+		const int* nrhs, double* a, const int* lda,
+		double* b, const int* ldb,
+		double* work, const int* lwork, int* info FCLEN);
+/* DGELSS - compute the minimum norm solution to a real linear */
+/* least squares problem */
+La_extern void
+F77_NAME(dgelss)(const int* m, const int* n, const int* nrhs,
+		 double* a, const int* lda, double* b, const int* ldb,
+		 double* s, double* rcond, int* rank,
+		 double* work, const int* lwork, int* info);
+/* DGELSY - compute the minimum-norm solution to a real linear */
+/* least squares problem */
+La_extern void
+F77_NAME(dgelsy)(const int* m, const int* n, const int* nrhs,
+		 double* a, const int* lda, double* b, const int* ldb,
+		 int* jpvt, const double* rcond, int* rank,
+		 double* work, const int* lwork, int* info);
+/* DGEQL2 - compute a QL factorization of a real m by n matrix A */
+La_extern void
+F77_NAME(dgeql2)(const int* m, const int* n, double* a, const int* lda,
+		 double* tau, double* work, int* info);
+/* DGEQLF - compute a QL factorization of a real M-by-N matrix A */
+La_extern void
+F77_NAME(dgeqlf)(const int* m, const int* n,
+		 double* a, const int* lda, double* tau,
+		 double* work, const int* lwork, int* info);
+/* DGEQP3 - compute a QR factorization with column pivoting of a */
+/* real M-by-N matrix A using level 3 BLAS */
+La_extern void
+F77_NAME(dgeqp3)(const int* m, const int* n, double* a, const int* lda,
+		 int* jpvt, double* tau, double* work, const int* lwork,
+		 int* info);
+/* DGEQR2 - compute a QR factorization of a real m by n matrix A */
+La_extern void
+F77_NAME(dgeqr2)(const int* m, const int* n, double* a, const int* lda,
+		 double* tau, double* work, int* info);
+/* DGEQRF - compute a QR factorization of a real M-by-N matrix A */
+La_extern void
+F77_NAME(dgeqrf)(const int* m, const int* n, double* a, const int* lda,
+		 double* tau, double* work, const int* lwork, int* info);
+/* DGERFS - improve the computed solution to a system of linear */
+/* equations and provides error bounds and backward error */
+/* estimates for the solution */
+La_extern void
+F77_NAME(dgerfs)(const char* trans, const int* n, const int* nrhs,
+		 double* a, const int* lda, double* af, const int* ldaf,
+		 int* ipiv, double* b, const int* ldb,
+		 double* x, const int* ldx, double* ferr, double* berr,
+		 double* work, int* iwork, int* info FCLEN);
+/* DGERQ2 - compute an RQ factorization of a real m by n matrix A */
+La_extern void
+F77_NAME(dgerq2)(const int* m, const int* n, double* a, const int* lda,
+		 double* tau, double* work, int* info);
+/* DGERQF - compute an RQ factorization of a real M-by-N matrix A */
+La_extern void
+F77_NAME(dgerqf)(const int* m, const int* n, double* a, const int* lda,
+		 double* tau, double* work, const int* lwork, int* info);
+/* DGESV - compute the solution to a real system of linear */
+/* equations  A * X = B, */
+La_extern void
+F77_NAME(dgesv)(const int* n, const int* nrhs, double* a, const int* lda,
+		int* ipiv, double* b, const int* ldb, int* info);
+/* DGESVD - compute the singular value decomposition (SVD); of a */
+/* real M-by-N matrix A, optionally computing the left and/or */
+/* right singular vectors */
+La_extern void
+F77_NAME(dgesvd)(const char* jobu, const char* jobvt, const int* m,
+		 const int* n, double* a, const int* lda, double* s,
+		 double* u, const int* ldu, double* vt, const int* ldvt,
+		 double* work, const int* lwork, int* info FCLEN FCLEN);
+/* DGESVX - use the LU factorization to compute the solution to a */
+/* real system of linear equations  A * X = B, */
+La_extern void
+F77_NAME(dgesvx)(const char* fact, const char* trans, const int* n,
+		 const int* nrhs, double* a, const int* lda,
+		 double* af, const int* ldaf, int* ipiv,
+		 char* equed, double* r, double* c,
+		 double* b, const int* ldb,
+		 double* x, const int* ldx,
+		 double* rcond, double* ferr, double* berr,
+		 double* work, int* iwork, int* info FCLEN FCLEN FCLEN);
+/* DGETF2 - compute an LU factorization of a general m-by-n */
+/* matrix A using partial pivoting with row interchanges */
+La_extern void
+F77_NAME(dgetf2)(const int* m, const int* n, double* a, const int* lda,
+		 int* ipiv, int* info);
+/* DGETRF - compute an LU factorization of a general M-by-N */
+/* matrix A using partial pivoting with row interchanges */
+La_extern void
+F77_NAME(dgetrf)(const int* m, const int* n, double* a, const int* lda,
+		 int* ipiv, int* info);
+/* DGETRI - compute the inverse of a matrix using the LU */
+/* factorization computed by DGETRF */
+La_extern void
+F77_NAME(dgetri)(const int* n, double* a, const int* lda,
+		 int* ipiv, double* work, const int* lwork, int* info);
+/* DGETRS - solve a system of linear equations	A * X = B or A' * */
+/* X = B with a general N-by-N matrix A using the LU factorization */
+/* computed by DGETRF */
+La_extern void
+F77_NAME(dgetrs)(const char* trans, const int* n, const int* nrhs,
+		 const double* a, const int* lda, const int* ipiv,
+		 double* b, const int* ldb, int* info FCLEN);
+
+
+//* Double precision General matrices Generalized problems -> DGG
+
+/* DGGBAK - form the right or left eigenvectors of a real */
+/* generalized eigenvalue problem A*x = lambda*B*x, by backward */
+/* transformation on the computed eigenvectors of the balanced */
+/* pair of matrices output by DGGBAL */
+La_extern void
+F77_NAME(dggbak)(const char* job, const char* side,
+		 const int* n, const int* ilo, const int* ihi,
+		 double* lscale, double* rscale, const int* m,
+		 double* v, const int* ldv, int* info FCLEN FCLEN);
+/* DGGBAL - balance a pair of general real matrices (A,B); */
+La_extern void
+F77_NAME(dggbal)(const char* job, const int* n, double* a, const int* lda,
+		 double* b, const int* ldb, int* ilo, int* ihi,
+		 double* lscale, double* rscale, double* work, int* info
+		 FCLEN);
+/* DGGES - compute for a pair of N-by-N real nonsymmetric */
+/* matrices A, B the generalized eigenvalues, the generalized */
+/* real Schur form (S,T), optionally, the left and/or right matrices */
+/* of Schur vectors (VSL and VSR)*/
+La_extern void
+F77_NAME(dgges)(const char* jobvsl, const char* jobvsr, const char* sort,
+		int (*delztg)(double*, double*, double*),
+		const int* n, double* a, const int* lda,
+		double* b, const int* ldb, double* alphar,
+		double* alphai, const double* beta,
+		double* vsl, const int* ldvsl,
+		double* vsr, const int* ldvsr,
+		double* work, const int* lwork, int* bwork, int* info 
+		FCLEN FCLEN FCLEN);
+
+/* DGGGLM - solve a general Gauss-Markov linear model (GLM) problem */
+La_extern void
+F77_NAME(dggglm)(const int* n, const int* m, const int* p,
+		 double* a, const int* lda, double* b, const int* ldb,
+		 double* d, double* x, double* y,
+		 double* work, const int* lwork, int* info);
+/* DGGHRD - reduce a pair of real matrices (A,B); to generalized */
+/* upper Hessenberg form using orthogonal transformations, where A */
+/* is a general matrix and B is upper triangular */
+La_extern void
+F77_NAME(dgghrd)(const char* compq, const char* compz, const int* n,
+		 const int* ilo, const int* ihi, double* a, const int* lda,
+		 double* b, const int* ldb, double* q, const int* ldq,
+		 double* z, const int* ldz, int* info FCLEN FCLEN);
+/* DGGLSE - solve the linear equality-constrained least squares */
+/* (LSE) problem */
+La_extern void
+F77_NAME(dgglse)(const int* m, const int* n, const int* p,
+		 double* a, const int* lda,
+		 double* b, const int* ldb,
+		 double* c, double* d, double* x,
+		 double* work, const int* lwork, int* info);
+/* DGGQRF - compute a generalized QR factorization of an N-by-M */
+/* matrix A and an N-by-P matrix B */
+La_extern void
+F77_NAME(dggqrf)(const int* n, const int* m, const int* p,
+		 double* a, const int* lda, double* taua,
+		 double* b, const int* ldb, double* taub,
+		 double* work, const int* lwork, int* info);
+/* DGGRQF - compute a generalized RQ factorization of an M-by-N */
+/* matrix A and a P-by-N matrix B */
+La_extern void
+F77_NAME(dggrqf)(const int* m, const int* p, const int* n,
+		 double* a, const int* lda, double* taua,
+		 double* b, const int* ldb, double* taub,
+		 double* work, const int* lwork, int* info);
+
+//* Double precision General Tridiagonal matrices  -> DGT
+
+/* DGTCON - estimate the reciprocal of the condition number of a real */
+/* tridiagonal matrix A using the LU factorization as computed by DGTTRF */
+La_extern void
+F77_NAME(dgtcon)(const char* norm, const int* n, double* dl, double* d,
+		 double* du, double* du2, int* ipiv, const double* anorm,
+		 double* rcond, double* work, int* iwork, int* info
+		 FCLEN);
+/* DGTRFS - improve the computed solution to a system of linear equations */
+/* when the coefficient matrix is tridiagonal, and provides error bounds */
+/* and backward error estimates for the solution */
+La_extern void
+F77_NAME(dgtrfs)(const char* trans, const int* n, const int* nrhs,
+		 double* dl, double* d, double* du, double* dlf,
+		 double* df, double* duf, double* du2,
+		 int* ipiv, double* b, const int* ldb,
+		 double* x, const int* ldx,
+		 double* ferr, double* berr,
+		 double* work, int* iwork, int* info FCLEN);
+/* DGTSV - solve the equation	A*X = B, */
+La_extern void
+F77_NAME(dgtsv)(const int* n, const int* nrhs,
+		double* dl, double* d, double* du,
+		double* b, const int* ldb, int* info);
+/* DGTSVX - use the LU factorization to compute the solution to a */
+/* real system of linear equations A * X = B or A**T * X = B, */
+La_extern void
+F77_NAME(dgtsvx)(const int* fact, const char* trans,
+		 const int* n, const int* nrhs,
+		 double* dl, double* d, double* du,
+		 double* dlf, double* df, double* duf,
+		 double* du2, int* ipiv,
+		 double* b, const int* ldb,
+		 double* x, const int* ldx,
+		 double* rcond, double* ferr, double* berr,
+		 double* work, int* iwork, int* info FCLEN);
+/* DGTTRF - compute an LU factorization of a real tridiagonal matrix */
+/* A using elimination with partial pivoting and row interchanges */
+La_extern void
+F77_NAME(dgttrf)(const int* n, double* dl, double* d,
+		 double* du, double* du2, int* ipiv, int* info);
+/* DGTTRS - solve one of the systems of equations  A*X = B or */
+/* A'*X = B, */
+La_extern void
+F77_NAME(dgttrs)(const char* trans, const int* n, const int* nrhs,
+		 double* dl, double* d, double* du, double* du2,
+		 int* ipiv, double* b, const int* ldb, int* info FCLEN);
+
+
+//* Double precision Orthogonal matrices  -> DOP & DOR
+
+/* DOPGTR - generate a real orthogonal matrix Q which is defined */
+/* as the product of n-1 elementary reflectors H(i); of order n, */
+/* as returned by DSPTRD using packed storage */
+La_extern void
+F77_NAME(dopgtr)(const char* uplo, const int* n,
+		 const double* ap, const double* tau,
+		 double* q, const int* ldq,
+		 double* work, int* info FCLEN);
+/* DOPMTR - overwrite the general real M-by-N matrix C with */
+/* SIDE = 'L' SIDE = 'R' TRANS = 'N' */
+La_extern void
+F77_NAME(dopmtr)(const char* side, const char* uplo,
+		 const char* trans, const int* m, const int* n,
+		 const double* ap, const double* tau,
+		 double* c, const int* ldc,
+		 double* work, int* info FCLEN FCLEN FCLEN);
+/* DORG2L - generate an m by n real matrix Q with orthonormal */
+/* columns, */
+La_extern void
+F77_NAME(dorg2l)(const int* m, const int* n, const int* k,
+		 double* a, const int* lda,
+		 const double* tau, double* work, int* info);
+/* DORG2R - generate an m by n real matrix Q with orthonormal */
+/* columns, */
+La_extern void
+F77_NAME(dorg2r)(const int* m, const int* n, const int* k,
+		 double* a, const int* lda,
+		 const double* tau, double* work, int* info);
+/* DORGBR - generate one of the real orthogonal matrices Q or */
+/* P**T determined by DGEBRD when reducing a real matrix A to */
+/* bidiagonal form */
+La_extern void
+F77_NAME(dorgbr)(const char* vect, const int* m,
+		 const int* n, const int* k,
+		 double* a, const int* lda,
+		 const double* tau, double* work,
+		 const int* lwork, int* info FCLEN);
+/* DORGHR - generate a real orthogonal matrix Q which is defined */
+/* as the product of IHI-ILO elementary reflectors of order N, as */
+/* returned by DGEHRD */
+La_extern void
+F77_NAME(dorghr)(const int* n, const int* ilo, const int* ihi,
+		 double* a, const int* lda, const double* tau,
+		 double* work, const int* lwork, int* info);
+/* DORGL2 - generate an m by n real matrix Q with orthonormal */
+/* rows, */
+La_extern void
+F77_NAME(dorgl2)(const int* m, const int* n, const int* k,
+		 double* a, const int* lda, const double* tau,
+		 double* work, int* info);
+/* DORGLQ - generate an M-by-N real matrix Q with orthonormal */
+/* rows, */
+La_extern void
+F77_NAME(dorglq)(const int* m, const int* n, const int* k,
+		 double* a, const int* lda,
+		 const double* tau, double* work,
+		 const int* lwork, int* info);
+/* DORGQL - generate an M-by-N real matrix Q with orthonormal */
+/* columns, */
+La_extern void
+F77_NAME(dorgql)(const int* m, const int* n, const int* k,
+		 double* a, const int* lda,
+		 const double* tau, double* work,
+		 const int* lwork, int* info);
+/* DORGQR - generate an M-by-N real matrix Q with orthonormal */
+/* columns, */
+La_extern void
+F77_NAME(dorgqr)(const int* m, const int* n, const int* k,
+		 double* a, const int* lda, const double* tau,
+		 double* work, const int* lwork, int* info);
+/* DORGR2 - generate an m by n real matrix Q with orthonormal */
+/* rows, */
+La_extern void
+F77_NAME(dorgr2)(const int* m, const int* n, const int* k,
+		 double* a, const int* lda, const double* tau,
+		 double* work, int* info);
+/* DORGRQ - generate an M-by-N real matrix Q with orthonormal rows */
+La_extern void
+F77_NAME(dorgrq)(const int* m, const int* n, const int* k,
+		 double* a, const int* lda, const double* tau,
+		 double* work, const int* lwork, int* info);
+/* DORGTR - generate a real orthogonal matrix Q which is defined */
+/* as the product of n-1 elementary reflectors of order const int* n, as */
+/* returned by DSYTRD */
+La_extern void
+F77_NAME(dorgtr)(const char* uplo, const int* n,
+		 double* a, const int* lda, const double* tau,
+		 double* work, const int* lwork, int* info FCLEN);
+/* DORM2L - overwrite the general real m by n matrix C with   Q * */
+/* C if SIDE = 'L' and TRANS = 'N', or	 Q'* C if SIDE = 'L' and */
+/* TRANS = 'T', or   C * Q if SIDE = 'R' and TRANS = 'N', or   C * */
+/* Q' if SIDE = 'R' and TRANS = 'T', */
+La_extern void
+F77_NAME(dorm2l)(const char* side, const char* trans,
+		 const int* m, const int* n, const int* k,
+		 const double* a, const int* lda,
+		 const double* tau, double* c, const int* ldc,
+		 double* work, int* info FCLEN FCLEN);
+/* DORM2R - overwrite the general real m by n matrix C with   Q * C */
+/* if SIDE = 'L' and TRANS = 'N', or   Q'* C if SIDE = 'L' and */
+/* TRANS = 'T', or   C * Q if SIDE = 'R' and TRANS = 'N', or   C * */
+/* Q' if SIDE = 'R' and TRANS = 'T', */
+La_extern void
+F77_NAME(dorm2r)(const char* side, const char* trans,
+		 const int* m, const int* n, const int* k,
+		 const double* a, const int* lda, const double* tau,
+		 double* c, const int* ldc, double* work, int* info
+		 FCLEN FCLEN);
+/* DORMBR - VECT = 'Q', DORMBR overwrites the general real M-by-N */
+/* matrix C with  SIDE = 'L' SIDE = 'R' TRANS = 'N' */
+La_extern void
+F77_NAME(dormbr)(const char* vect, const char* side, const char* trans,
+		 const int* m, const int* n, const int* k,
+		 const double* a, const int* lda, const double* tau,
+		 double* c, const int* ldc,
+		 double* work, const int* lwork, int* info FCLEN FCLEN FCLEN);
+/* DORMHR - overwrite the general real M-by-N matrix C with */
+/* SIDE = 'L' SIDE = 'R' TRANS = 'N' */
+La_extern void
+F77_NAME(dormhr)(const char* side, const char* trans, const int* m,
+		 const int* n, const int* ilo, const int* ihi,
+		 const double* a, const int* lda, const double* tau,
+		 double* c, const int* ldc,
+		 double* work, const int* lwork, int* info FCLEN FCLEN);
+/* DORML2 - overwrite the general real m by n matrix C with   Q * */
+/* C if SIDE = 'L' and TRANS = 'N', or	 Q'* C if SIDE = 'L' and */
+/* TRANS = 'T', or   C * Q if SIDE = 'R' and TRANS = 'N', or   C * */
+/* Q' if SIDE = 'R' and TRANS = 'T', */
+La_extern void
+F77_NAME(dorml2)(const char* side, const char* trans,
+		 const int* m, const int* n, const int* k,
+		 const double* a, const int* lda, const double* tau,
+		 double* c, const int* ldc, double* work, int* info
+		 FCLEN FCLEN);
+/* DORMLQ - overwrite the general real M-by-N matrix C with */
+/* SIDE = 'L' SIDE = 'R' TRANS = 'N'  */
+La_extern void
+F77_NAME(dormlq)(const char* side, const char* trans,
+		 const int* m, const int* n, const int* k,
+		 const double* a, const int* lda,
+		 const double* tau, double* c, const int* ldc,
+		 double* work, const int* lwork, int* info FCLEN FCLEN);
+/* DORMQL - overwrite the general real M-by-N matrix C with */
+/* SIDE = 'L' SIDE = 'R' TRANS = 'N' */
+La_extern void
+F77_NAME(dormql)(const char* side, const char* trans,
+		 const int* m, const int* n, const int* k,
+		 const double* a, const int* lda,
+		 const double* tau, double* c, const int* ldc,
+		 double* work, const int* lwork, int* info FCLEN FCLEN);
+/* DORMQR - overwrite the general real M-by-N matrix C with   SIDE = */
+/* 'L' SIDE = 'R' TRANS = 'N' */
+La_extern void
+F77_NAME(dormqr)(const char* side, const char* trans,
+		 const int* m, const int* n, const int* k,
+		 const double* a, const int* lda,
+		 const double* tau, double* c, const int* ldc,
+		 double* work, const int* lwork, int* info FCLEN FCLEN);
+/* DORMR2 - overwrite the general real m by n matrix C with   Q * */
+/* C if SIDE = 'L' and TRANS = 'N', or	 Q'* C if SIDE = 'L' and */
+/* TRANS = 'T', or   C * Q if SIDE = 'R' and TRANS = 'N', or   C * */
+/* Q' if SIDE = 'R' and TRANS = 'T', */
+La_extern void
+F77_NAME(dormr2)(const char* side, const char* trans,
+		 const int* m, const int* n, const int* k,
+		 const double* a, const int* lda,
+		 const double* tau, double* c, const int* ldc,
+		 double* work, int* info FCLEN FCLEN);
+/* DORMRQ - overwrite the general real M-by-N matrix C with */
+/* SIDE = 'L' SIDE = 'R' TRANS = 'N' */
+La_extern void
+F77_NAME(dormrq)(const char* side, const char* trans,
+		 const int* m, const int* n, const int* k,
+		 const double* a, const int* lda,
+		 const double* tau, double* c, const int* ldc,
+		 double* work, const int* lwork, int* info FCLEN FCLEN);
+/* DORMTR - overwrite the general real M-by-N matrix C with */
+/* SIDE = 'L' SIDE = 'R' TRANS = 'N' */
+La_extern void
+F77_NAME(dormtr)(const char* side, const char* uplo,
+		 const char* trans, const int* m, const int* n,
+		 const double* a, const int* lda,
+		 const double* tau, double* c, const int* ldc,
+		 double* work, const int* lwork, int* info
+		 FCLEN FCLEN FCLEN);
+
+
+//* Double precision Positive definite Band matrices  -> DPB
+
+/* DPBCON - estimate the reciprocal of the condition number (in */
+/* the 1-norm); of a real symmetric positive definite band matrix */
+/* using the Cholesky factorization A = U**T*U or A = L*L**T */
+/* computed by DPBTRF */
+La_extern void
+F77_NAME(dpbcon)(const char* uplo, const int* n, const int* kd,
+		 const double* ab, const int* ldab,
+		 const double* anorm, double* rcond,
+		 double* work, int* iwork, int* info FCLEN);
+/* DPBEQU - compute row and column scalings intended to */
+/* equilibrate a symmetric positive definite band matrix A and */
+/* reduce its condition number (with respect to the two-norm); */
+La_extern void
+F77_NAME(dpbequ)(const char* uplo, const int* n, const int* kd,
+		 const double* ab, const int* ldab,
+		 double* s, double* scond, double* amax, int* info FCLEN);
+/* DPBRFS - improve the computed solution to a system of linear */
+/* equations when the coefficient matrix is symmetric positive */
+/* definite and banded, and provides error bounds and backward */
+/* error estimates for the solution */
+La_extern void
+F77_NAME(dpbrfs)(const char* uplo, const int* n,
+		 const int* kd, const int* nrhs,
+		 const double* ab, const int* ldab,
+		 const double* afb, const int* ldafb,
+		 const double* b, const int* ldb,
+		 double* x, const int* ldx,
+		 double* ferr, double* berr,
+		 double* work, int* iwork, int* info FCLEN);
+/* DPBSTF - compute a split Cholesky factorization of a real */
+/* symmetric positive definite band matrix A */
+La_extern void
+F77_NAME(dpbstf)(const char* uplo, const int* n, const int* kd,
+		 double* ab, const int* ldab, int* info FCLEN);
+/* DPBSV - compute the solution to a real system of linear */
+/* equations  A * X = B, */
+La_extern void
+F77_NAME(dpbsv)(const char* uplo, const int* n,
+		const int* kd, const int* nrhs,
+		double* ab, const int* ldab,
+		double* b, const int* ldb, int* info FCLEN);
+/* DPBSVX - use the Cholesky factorization A = U**T*U or A = */
+/* L*L**T to compute the solution to a real system of linear */
+/* equations  A * X = B, */
+La_extern void
+F77_NAME(dpbsvx)(const int* fact, const char* uplo, const int* n,
+		 const int* kd, const int* nrhs,
+		 double* ab, const int* ldab,
+		 double* afb, const int* ldafb,
+		 char* equed, double* s,
+		 double* b, const int* ldb,
+		 double* x, const int* ldx, double* rcond,
+		 double* ferr, double* berr,
+		 double* work, int* iwork, int* info FCLEN FCLEN);
+/* DPBTF2 - compute the Cholesky factorization of a real */
+/* symmetric positive definite band matrix A */
+La_extern void
+F77_NAME(dpbtf2)(const char* uplo, const int* n, const int* kd,
+		 double* ab, const int* ldab, int* info FCLEN);
+/* DPBTRF - compute the Cholesky factorization of a real */
+/* symmetric positive definite band matrix A */
+La_extern void
+F77_NAME(dpbtrf)(const char* uplo, const int* n, const int* kd,
+		 double* ab, const int* ldab, int* info FCLEN);
+/* DPBTRS - solve a system of linear equations A*X = B with a */
+/* symmetric positive definite band matrix A using the Cholesky */
+/* factorization A = U**T*U or A = L*L**T computed by DPBTRF */
+La_extern void
+F77_NAME(dpbtrs)(const char* uplo, const int* n,
+		 const int* kd, const int* nrhs,
+		 const double* ab, const int* ldab,
+		 double* b, const int* ldb, int* info FCLEN);
+
+
+//* Double precision Positive definite matrices  -> DPO
+
+/* DPOCON - estimate the reciprocal of the condition number (in */
+/* the 1-norm); of a real symmetric positive definite matrix using */
+/* the Cholesky factorization A = U**T*U or A = L*L**T computed by */
+/* DPOTRF */
+La_extern void
+F77_NAME(dpocon)(const char* uplo, const int* n,
+		 const double* a, const int* lda,
+		 const double* anorm, double* rcond,
+		 double* work, int* iwork, int* info FCLEN);
+/* DPOEQU - compute row and column scalings intended to */
+/* equilibrate a symmetric positive definite matrix A and reduce */
+/* its condition number (with respect to the two-norm); */
+La_extern void
+F77_NAME(dpoequ)(const int* n, const double* a, const int* lda,
+		 double* s, double* scond, double* amax, int* info);
+/* DPORFS - improve the computed solution to a system of linear */
+/* equations when the coefficient matrix is symmetric positive */
+/* definite, */
+La_extern void
+F77_NAME(dporfs)(const char* uplo, const int* n, const int* nrhs,
+		 const double* a, const int* lda,
+		 const double* af, const int* ldaf,
+		 const double* b, const int* ldb,
+		 double* x, const int* ldx,
+		 double* ferr, double* berr,
+		 double* work, int* iwork, int* info FCLEN);
+/* DPOSV - compute the solution to a real system of linear */
+/* equations  A * X = B, */
+La_extern void
+F77_NAME(dposv)(const char* uplo, const int* n, const int* nrhs,
+		double* a, const int* lda,
+		double* b, const int* ldb, int* info FCLEN);
+/* DPOSVX - use the Cholesky factorization A = U**T*U or A = */
+/* L*L**T to compute the solution to a real system of linear */
+/* equations  A * X = B, */
+La_extern void
+F77_NAME(dposvx)(const int* fact, const char* uplo,
+		 const int* n, const int* nrhs,
+		 double* a, const int* lda,
+		 double* af, const int* ldaf, const char* equed,
+		 double* s, double* b, const int* ldb,
+		 double* x, const int* ldx, double* rcond,
+		 double* ferr, double* berr, double* work,
+		 int* iwork, int* info FCLEN FCLEN);
+/* DPOTF2 - compute the Cholesky factorization of a real */
+/* symmetric positive definite matrix A */
+La_extern void
+F77_NAME(dpotf2)(const char* uplo, const int* n,
+		 double* a, const int* lda, int* info FCLEN);
+/* DPOTRF - compute the Cholesky factorization of a real */
+/* symmetric positive definite matrix A */
+La_extern void
+F77_NAME(dpotrf)(const char* uplo, const int* n,
+		 double* a, const int* lda, int* info FCLEN);
+/* DPOTRI - compute the inverse of a real symmetric positive */
+/* definite matrix A using the Cholesky factorization A = U**T*U */
+/* or A = L*L**T computed by DPOTRF */
+La_extern void
+F77_NAME(dpotri)(const char* uplo, const int* n,
+		 double* a, const int* lda, int* info FCLEN);
+/* DPOTRS - solve a system of linear equations A*X = B with a */
+/* symmetric positive definite matrix A using the Cholesky */
+/* factorization A = U**T*U or A = L*L**T computed by DPOTRF */
+La_extern void
+F77_NAME(dpotrs)(const char* uplo, const int* n,
+		 const int* nrhs, const double* a, const int* lda,
+		 double* b, const int* ldb, int* info FCLEN);
+/* DPPCON - estimate the reciprocal of the condition number (in */
+/* the 1-norm); of a real symmetric positive definite packed */
+/* matrix using the Cholesky factorization A = U**T*U or A = */
+/* L*L**T computed by DPPTRF */
+La_extern void
+F77_NAME(dppcon)(const char* uplo, const int* n,
+		 const double* ap, const double* anorm, double* rcond,
+		 double* work, int* iwork, int* info FCLEN);
+/* DPPEQU - compute row and column scalings intended to */
+/* equilibrate a symmetric positive definite matrix A in packed */
+/* storage and reduce its condition number (with respect to the */
+/* two-norm); */
+La_extern void
+F77_NAME(dppequ)(const char* uplo, const int* n,
+		 const double* ap, double* s, double* scond,
+		 double* amax, int* info FCLEN);
+
+
+//* Double precision Positive definite matrices in Packed storage  -> DPP
+
+/* DPPRFS - improve the computed solution to a system of linear */
+/* equations when the coefficient matrix is symmetric positive */
+/* definite and packed, and provides error bounds and backward */
+/* error estimates for the solution */
+La_extern void
+F77_NAME(dpprfs)(const char* uplo, const int* n, const int* nrhs,
+		 const double* ap, const double* afp,
+		 const double* b, const int* ldb,
+		 double* x, const int* ldx,
+		 double* ferr, double* berr,
+		 double* work, int* iwork, int* info FCLEN);
+/* DPPSV - compute the solution to a real system of linear */
+/* equations  A * X = B, */
+La_extern void
+F77_NAME(dppsv)(const char* uplo, const int* n,
+		const int* nrhs, const double* ap,
+		double* b, const int* ldb, int* info FCLEN);
+/* DPPSVX - use the Cholesky factorization A = U**T*U or A = */
+/* L*L**T to compute the solution to a real system of linear */
+/* equations  A * X = B, */
+La_extern void
+F77_NAME(dppsvx)(const char* fact, const char* uplo,
+		 const int* n, const int* nrhs, double* ap,
+		 double* afp, const char* equed, double* s,
+		 double* b, const int* ldb,
+		 double* x, const int* ldx,
+		 double* rcond, double* ferr, double* berr,
+		 double* work, int* iwork, int* info
+		 FCLEN FCLEN FCLEN);
+/* DPPTRF - compute the Cholesky factorization of a real */
+/* symmetric positive definite matrix A stored in packed format */
+La_extern void
+F77_NAME(dpptrf)(const char* uplo, const int* n, double* ap, int* info FCLEN);
+/* DPPTRI - compute the inverse of a real symmetric positive */
+/* definite matrix A using the Cholesky factorization A = U**T*U */
+/* or A = L*L**T computed by DPPTRF  */
+La_extern void
+F77_NAME(dpptri)(const char* uplo, const int* n, double* ap, int* info FCLEN);
+/* DPPTRS - solve a system of linear equations A*X = B with a */
+/* symmetric positive definite matrix A in packed storage using */
+/* the Cholesky factorization A = U**T*U or A = L*L**T computed by */
+/* DPPTRF */
+La_extern void
+F77_NAME(dpptrs)(const char* uplo, const int* n,
+		 const int* nrhs, const double* ap,
+		 double* b, const int* ldb, int* info FCLEN);
+
+//* Double precision symmetric Positive definite Tridiagonal matrices  -> DPT
+
+/* DPTCON - compute the reciprocal of the condition number (in */
+/* the 1-norm); of a real symmetric positive definite tridiagonal */
+/* matrix using the factorization A = L*D*L**T or A = U**T*D*U */
+/* computed by DPTTRF */
+La_extern void
+F77_NAME(dptcon)(const int* n,
+		 const double* d, const double* e,
+		 const double* anorm, double* rcond,
+		 double* work, int* info);
+/* DPTEQR - compute all eigenvalues and, optionally, eigenvectors */
+/* of a symmetric positive definite tridiagonal matrix by first */
+/* factoring the matrix using DPTTRF, and then calling DBDSQR to */
+/* compute the singular values of the bidiagonal factor */
+La_extern void
+F77_NAME(dpteqr)(const char* compz, const int* n, double* d,
+		 double* e, double* z, const int* ldz,
+		 double* work, int* info FCLEN);
+/* DPTRFS - improve the computed solution to a system of linear */
+/* equations when the coefficient matrix is symmetric positive */
+/* definite and tridiagonal, and provides error bounds and */
+/* backward error estimates for the solution */
+La_extern void
+F77_NAME(dptrfs)(const int* n, const int* nrhs,
+		 const double* d, const double* e,
+		 const double* df, const double* ef,
+		 const double* b, const int* ldb,
+		 double* x, const int* ldx,
+		 double* ferr, double* berr,
+		 double* work, int* info);
+/* DPTSV - compute the solution to a real system of linear */
+/* equations A*X = B, where A is an N-by-N symmetric positive */
+/* definite tridiagonal matrix, and X and B are N-by-NRHS matrices */
+La_extern void
+F77_NAME(dptsv)(const int* n, const int* nrhs, double* d,
+		double* e, double* b, const int* ldb, int* info);
+/* DPTSVX - use the factorization A = L*D*L**T to compute the */
+/* solution to a real system of linear equations A*X = B, where A */
+/* is an N-by-N symmetric positive definite tridiagonal matrix and */
+/* X and B are N-by-NRHS matrices */
+La_extern void
+F77_NAME(dptsvx)(const int* fact, const int* n,
+		 const int* nrhs,
+		 const double* d, const double* e,
+		 double* df, double* ef,
+		 const double* b, const int* ldb,
+		 double* x, const int* ldx, double* rcond,
+		 double* ferr, double* berr,
+		 double* work, int* info);
+/* DPTTRF - compute the factorization of a real symmetric */
+/* positive definite tridiagonal matrix A */
+La_extern void
+F77_NAME(dpttrf)(const int* n, double* d, double* e, int* info);
+/* DPTTRS - solve a system of linear equations A * X = B with a */
+/* symmetric positive definite tridiagonal matrix A using the */
+/* factorization A = L*D*L**T or A = U**T*D*U computed by DPTTRF */
+La_extern void
+F77_NAME(dpttrs)(const int* n, const int* nrhs,
+		 const double* d, const double* e,
+		 double* b, const int* ldb, int* info);
+/* DRSCL - multiply an n-element real vector x by the real scalar */
+/* 1/a */
+La_extern void
+F77_NAME(drscl)(const int* n, const double* da,
+		double* x, const int* incx);
+
+//* Double precision Symmetric Band matrices  -> DSB
+
+/* DSBEV - compute all the eigenvalues and, optionally, */
+/* eigenvectors of a real symmetric band matrix A */
+La_extern void
+F77_NAME(dsbev)(const char* jobz, const char* uplo,
+		const int* n, const int* kd,
+		double* ab, const int* ldab,
+		double* w, double* z, const int* ldz,
+		double* work, int* info FCLEN FCLEN);
+/* DSBEVD - compute all the eigenvalues and, optionally, */
+/* eigenvectors of a real symmetric band matrix A */
+La_extern void
+F77_NAME(dsbevd)(const char* jobz, const char* uplo,
+		 const int* n, const int* kd,
+		 double* ab, const int* ldab,
+		 double* w, double* z, const int* ldz,
+		 double* work, const int* lwork,
+		 int* iwork, const int* liwork, int* info FCLEN FCLEN);
+/* DSBEVX - compute selected eigenvalues and, optionally, */
+/* eigenvectors of a real symmetric band matrix A */
+La_extern void
+F77_NAME(dsbevx)(const char* jobz, const char* range,
+		 const char* uplo, const int* n, const int* kd,
+		 double* ab, const int* ldab,
+		 double* q, const int* ldq,
+		 const double* vl, const double* vu,
+		 const int* il, const int* iu,
+		 const double* abstol,
+		 int* m, double* w,
+		 double* z, const int* ldz,
+		 double* work, int* iwork,
+		 int* ifail, int* info
+		 FCLEN FCLEN FCLEN);
+/* DSBGST - reduce a real symmetric-definite banded generalized */
+/* eigenproblem A*x = lambda*B*x to standard form C*y = lambda*y, */
+La_extern void
+F77_NAME(dsbgst)(const char* vect, const char* uplo,
+		 const int* n, const int* ka, const int* kb,
+		 double* ab, const int* ldab,
+		 double* bb, const int* ldbb,
+		 double* x, const int* ldx,
+		 double* work, int* info FCLEN FCLEN);
+/* DSBGV - compute all the eigenvalues, and optionally, the */
+/* eigenvectors of a real generalized symmetric-definite banded */
+/* eigenproblem, of the form A*x=(lambda);*B*x */
+La_extern void
+F77_NAME(dsbgv)(const char* jobz, const char* uplo,
+		const int* n, const int* ka, const int* kb,
+		double* ab, const int* ldab,
+		double* bb, const int* ldbb,
+		double* w, double* z, const int* ldz,
+		double* work, int* info FCLEN FCLEN);
+/* DSBTRD - reduce a real symmetric band matrix A to symmetric */
+/* tridiagonal form T by an orthogonal similarity transformation */
+La_extern void
+F77_NAME(dsbtrd)(const char* vect, const char* uplo,
+		 const int* n, const int* kd,
+		 double* ab, const int* ldab,
+		 double* d, double* e,
+		 double* q, const int* ldq,
+		 double* work, int* info FCLEN FCLEN);
+
+//* Double precision Symmetric Packed matrices  -> DSP
+
+/* DSPCON - estimate the reciprocal of the condition number (in */
+/* the 1-norm); of a real symmetric packed matrix A using the */
+/* factorization A = U*D*U**T or A = L*D*L**T computed by DSPTRF */
+La_extern void
+F77_NAME(dspcon)(const char* uplo, const int* n,
+		 const double* ap, const int* ipiv,
+		 const double* anorm, double* rcond,
+		 double* work, int* iwork, int* info FCLEN);
+/* DSPEV - compute all the eigenvalues and, optionally, */
+/* eigenvectors of a real symmetric matrix A in packed storage */
+La_extern void
+F77_NAME(dspev)(const char* jobz, const char* uplo, const int* n,
+		double* ap, double* w, double* z, const int* ldz,
+		double* work, int* info FCLEN FCLEN);
+/* DSPEVD - compute all the eigenvalues and, optionally, */
+/* eigenvectors of a real symmetric matrix A in packed storage */
+La_extern void
+F77_NAME(dspevd)(const char* jobz, const char* uplo,
+		 const int* n, double* ap, double* w,
+		 double* z, const int* ldz,
+		 double* work, const int* lwork,
+		 int* iwork, const int* liwork, int* info FCLEN FCLEN);
+/* DSPEVX - compute selected eigenvalues and, optionally, */
+/* eigenvectors of a real symmetric matrix A in packed storage */
+La_extern void
+F77_NAME(dspevx)(const char* jobz, const char* range,
+		 const char* uplo, const int* n, double* ap,
+		 const double* vl, const double* vu,
+		 const int* il, const int* iu,
+		 const double* abstol,
+		 int* m, double* w,
+		 double* z, const int* ldz,
+		 double* work, int* iwork,
+		 int* ifail, int* info FCLEN FCLEN FCLEN);
+/* DSPGST - reduce a real symmetric-definite generalized */
+/* eigenproblem to standard form, using packed storage */
+La_extern void
+F77_NAME(dspgst)(const int* itype, const char* uplo,
+		 const int* n, double* ap, double* bp, int* info FCLEN);
+/* DSPGV - compute all the eigenvalues and, optionally, the */
+/* eigenvectors of a real generalized symmetric-definite */
+/* eigenproblem, of the form A*x=(lambda)*B*x, A*Bx=(lambda)*x, */
+/* or B*A*x=(lambda)*x */
+La_extern void
+F77_NAME(dspgv)(const int* itype, const char* jobz,
+		const char* uplo, const int* n,
+		double* ap, double* bp, double* w,
+		double* z, const int* ldz,
+		double* work, int* info FCLEN FCLEN FCLEN);
+
+/* DSPRFS - improve the computed solution to a system of linear */
+/* equations when the coefficient matrix is symmetric indefinite */
+/* and packed, and provides error bounds and backward error */
+/* estimates for the solution */
+La_extern void
+F77_NAME(dsprfs)(const char* uplo, const int* n,
+		 const int* nrhs, const double* ap,
+		 const double* afp, const int* ipiv,
+		 const double* b, const int* ldb,
+		 double* x, const int* ldx,
+		 double* ferr, double* berr,
+		 double* work, int* iwork, int* info FCLEN);
+
+/* DSPSV - compute the solution to a real system of linear */
+/* equations  A * X = B, */
+La_extern void
+F77_NAME(dspsv)(const char* uplo, const int* n,
+		const int* nrhs, double* ap, int* ipiv,
+		double* b, const int* ldb, int* info FCLEN);
+
+/* DSPSVX - use the diagonal pivoting factorization A = U*D*U**T */
+/* or A = L*D*L**T to compute the solution to a real system of */
+/* linear equations A * X = B, where A is an N-by-N symmetric */
+/* matrix stored in packed format and X and B are N-by-NRHS */
+/* matrices */
+La_extern void
+F77_NAME(dspsvx)(const int* fact, const char* uplo,
+		 const int* n, const int* nrhs,
+		 const double* ap, double* afp, int* ipiv,
+		 const double* b, const int* ldb,
+		 double* x, const int* ldx,
+		 double* rcond, double* ferr, double* berr,
+		 double* work, int* iwork, int* info FCLEN);
+
+/* DSPTRD - reduce a real symmetric matrix A stored in packed */
+/* form to symmetric tridiagonal form T by an orthogonal */
+/* similarity transformation */
+La_extern void
+F77_NAME(dsptrd)(const char* uplo, const int* n,
+		 double* ap, double* d, double* e,
+		 double* tau, int* info FCLEN);
+
+/* DSPTRF - compute the factorization of a real symmetric matrix */
+/* A stored in packed format using the Bunch-Kaufman diagonal */
+/* pivoting method */
+La_extern void
+F77_NAME(dsptrf)(const char* uplo, const int* n,
+		 double* ap, int* ipiv, int* info FCLEN);
+
+/* DSPTRI - compute the inverse of a real symmetric indefinite */
+/* matrix A in packed storage using the factorization A = U*D*U**T */
+/* or A = L*D*L**T computed by DSPTRF */
+La_extern void
+F77_NAME(dsptri)(const char* uplo, const int* n,
+		 double* ap, const int* ipiv,
+		 double* work, int* info FCLEN);
+
+/* DSPTRS - solve a system of linear equations A*X = B with a */
+/* real symmetric matrix A stored in packed format using the */
+/* factorization A = U*D*U**T or A = L*D*L**T computed by DSPTRF */
+La_extern void
+F77_NAME(dsptrs)(const char* uplo, const int* n,
+		 const int* nrhs, const double* ap,
+		 const int* ipiv, double* b, const int* ldb, 
+		 int* info FCLEN);
+
+
+//* Double precision Symmetric Tridiagonal matrices  -> DST
+
+/* DSTEBZ - compute the eigenvalues of a symmetric tridiagonal */
+/* matrix T */
+La_extern void
+F77_NAME(dstebz)(const char* range, const char* order, const int* n,
+		 const double* vl, const double* vu,
+		 const int* il, const int* iu,
+		 const double *abstol,
+		 const double* d, const double* e,
+		 int* m, int* nsplit, double* w,
+		 int* iblock, int* isplit,
+		 double* work, int* iwork,
+		 int* info FCLEN FCLEN);
+/* DSTEDC - compute all eigenvalues and, optionally, eigenvectors */
+/* of a symmetric tridiagonal matrix using the divide and conquer */
+/* method */
+La_extern void
+F77_NAME(dstedc)(const char* compz, const int* n,
+		 double* d, double* e,
+		 double* z, const int* ldz,
+		 double* work, const int* lwork,
+		 int* iwork, const int* liwork, int* info FCLEN);
+/* DSTEIN - compute the eigenvectors of a real symmetric */
+/* tridiagonal matrix T corresponding to specified eigenvalues, */
+/* using inverse iteration */
+La_extern void
+F77_NAME(dstein)(const int* n, const double* d, const double* e,
+		 const int* m, const double* w,
+		 const int* iblock, const int* isplit,
+		 double* z, const int* ldz,
+		 double* work, int* iwork,
+		 int* ifail, int* info);
+/* DSTEQR - compute all eigenvalues and, optionally, eigenvectors */
+/* of a symmetric tridiagonal matrix using the implicit QL or QR */
+/* method */
+La_extern void
+F77_NAME(dsteqr)(const char* compz, const int* n, double* d, double* e,
+		 double* z, const int* ldz, double* work, int* info FCLEN);
+/* DSTERF - compute all eigenvalues of a symmetric tridiagonal */
+/* matrix using the Pal-Walker-Kahan variant of the QL or QR */
+/* algorithm */
+La_extern void
+F77_NAME(dsterf)(const int* n, double* d, double* e, int* info);
+/* DSTEV - compute all eigenvalues and, optionally, eigenvectors */
+/* of a real symmetric tridiagonal matrix A */
+La_extern void
+F77_NAME(dstev)(const char* jobz, const int* n,
+		double* d, double* e,
+		double* z, const int* ldz,
+		double* work, int* info FCLEN);
+/* DSTEVD - compute all eigenvalues and, optionally, eigenvectors */
+/* of a real symmetric tridiagonal matrix */
+La_extern void
+F77_NAME(dstevd)(const char* jobz, const int* n,
+		 double* d, double* e,
+		 double* z, const int* ldz,
+		 double* work, const int* lwork,
+		 int* iwork, const int* liwork, int* info FCLEN);
+/* DSTEVX - compute selected eigenvalues and, optionally, */
+/* eigenvectors of a real symmetric tridiagonal matrix A */
+La_extern void
+F77_NAME(dstevx)(const char* jobz, const char* range,
+		 const int* n, double* d, double* e,
+		 const double* vl, const double* vu,
+		 const int* il, const int* iu,
+		 const double* abstol,
+		 int* m, double* w,
+		 double* z, const int* ldz,
+		 double* work, int* iwork,
+		 int* ifail, int* info FCLEN FCLEN);
+
+//* Double precision SYmmetric matrices  -> DSY
+
+/* DSYCON - estimate the reciprocal of the condition number (in */
+/* the 1-norm); of a real symmetric matrix A using the */
+/* factorization A = U*D*U**T or A = L*D*L**T computed by DSYTRF */
+La_extern void
+F77_NAME(dsycon)(const char* uplo, const int* n,
+		 const double* a, const int* lda,
+		 const int* ipiv,
+		 const double* anorm, double* rcond,
+		 double* work, int* iwork, int* info FCLEN);
+/* DSYEV - compute all eigenvalues and, optionally, eigenvectors */
+/* of a real symmetric matrix A */
+La_extern void
+F77_NAME(dsyev)(const char* jobz, const char* uplo,
+		const int* n, double* a, const int* lda,
+		double* w, double* work, const int* lwork, int* info
+		FCLEN FCLEN);
+/* DSYEVD - compute all eigenvalues and, optionally, eigenvectors */
+/* of a real symmetric matrix A */
+La_extern void
+F77_NAME(dsyevd)(const char* jobz, const char* uplo,
+		 const int* n, double* a, const int* lda,
+		 double* w, double* work, const int* lwork,
+		 int* iwork, const int* liwork, int* info FCLEN FCLEN);
+/* DSYEVX - compute selected eigenvalues and, optionally, */
+/* eigenvectors of a real symmetric matrix A */
+La_extern void
+F77_NAME(dsyevx)(const char* jobz, const char* range,
+		 const char* uplo, const int* n,
+		 double* a, const int* lda,
+		 const double* vl, const double* vu,
+		 const int* il, const int* iu,
+		 const double* abstol,
+		 int* m, double* w,
+		 double* z, const int* ldz,
+		 double* work, const int* lwork, int* iwork,
+		 int* ifail, int* info
+		 FCLEN FCLEN FCLEN);
+/* DSYEVR - compute all eigenvalues and, optionally, eigenvectors   */
+/* of a real symmetric matrix A					   */
+La_extern void
+F77_NAME(dsyevr)(const char* jobz, const char* range, const char* uplo,
+		 const int *n, double *a, const int *lda,
+		 const double *vl, const double *vu,
+		 const int *il, const int *iu,
+		 const double *abstol, int *m, double *w,
+		 double *z, const int *ldz, int *isuppz,
+		 double *work, const int *lwork,
+		 int *iwork, const int *liwork,
+		 int *info FCLEN FCLEN FCLEN);
+/* DSYGS2 - reduce a real symmetric-definite generalized */
+/* eigenproblem to standard form */
+La_extern void
+F77_NAME(dsygs2)(const int* itype, const char* uplo,
+		 const int* n, double* a, const int* lda,
+		 const double* b, const int* ldb, int* info FCLEN);
+/* DSYGST - reduce a real symmetric-definite generalized */
+/* eigenproblem to standard form */
+La_extern void
+F77_NAME(dsygst)(const int* itype, const char* uplo,
+		 const int* n, double* a, const int* lda,
+		 const double* b, const int* ldb, int* info FCLEN);
+/* DSYGV - compute all the eigenvalues, and optionally, the */
+/* eigenvectors of a real generalized symmetric-definite */
+/* eigenproblem, of the form A*x=(lambda);*B*x, A*Bx=(lambda);*x, */
+/* or B*A*x=(lambda);*x */
+La_extern void
+F77_NAME(dsygv)(const int* itype, const char* jobz,
+		const char* uplo, const int* n,
+		double* a, const int* lda,
+		double* b, const int* ldb,
+		double* w, double* work, const int* lwork,
+		int* info FCLEN FCLEN);
+/* DSYRFS - improve the computed solution to a system of linear */
+/* equations when the coefficient matrix is symmetric indefinite, */
+/* and provides error bounds and backward error estimates for the */
+/* solution */
+La_extern void
+F77_NAME(dsyrfs)(const char* uplo, const int* n,
+		 const int* nrhs,
+		 const double* a, const int* lda,
+		 const double* af, const int* ldaf,
+		 const int* ipiv,
+		 const double* b, const int* ldb,
+		 double* x, const int* ldx,
+		 double* ferr, double* berr,
+		 double* work, int* iwork, int* info FCLEN);
+
+/* DSYSV - compute the solution to a real system of linear */
+/* equations  A * X = B, */
+La_extern void
+F77_NAME(dsysv)(const char* uplo, const int* n,
+		const int* nrhs,
+		double* a, const int* lda, int* ipiv,
+		double* b, const int* ldb,
+		double* work, const int* lwork, int* info FCLEN);
+
+/* DSYSVX - use the diagonal pivoting factorization to compute */
+/* the solution to a real system of linear equations A * X = B, */
+La_extern void
+F77_NAME(dsysvx)(const int* fact, const char* uplo,
+		 const int* n, const int* nrhs,
+		 const double* a, const int* lda,
+		 double* af, const int* ldaf, int* ipiv,
+		 const double* b, const int* ldb,
+		 double* x, const int* ldx, double* rcond,
+		 double* ferr, double* berr,
+		 double* work, const int* lwork,
+		 int* iwork, int* info FCLEN);
+
+/* DSYTD2 - reduce a real symmetric matrix A to symmetric */
+/* tridiagonal form T by an orthogonal similarity transformation */
+La_extern void
+F77_NAME(dsytd2)(const char* uplo, const int* n,
+		 double* a, const int* lda,
+		 double* d, double* e, double* tau,
+		 int* info FCLEN);
+
+/* DSYTF2 - compute the factorization of a real symmetric matrix */
+/* A using the Bunch-Kaufman diagonal pivoting method */
+La_extern void
+F77_NAME(dsytf2)(const char* uplo, const int* n,
+		 double* a, const int* lda,
+		 int* ipiv, int* info FCLEN);
+
+/* DSYTRD - reduce a real symmetric matrix A to real symmetric */
+/* tridiagonal form T by an orthogonal similarity transformation */
+La_extern void
+F77_NAME(dsytrd)(const char* uplo, const int* n,
+		 double* a, const int* lda,
+		 double* d, double* e, double* tau,
+		 double* work, const int* lwork, int* info FCLEN);
+
+/* DSYTRF - compute the factorization of a real symmetric matrix */
+/* A using the Bunch-Kaufman diagonal pivoting method */
+La_extern void
+F77_NAME(dsytrf)(const char* uplo, const int* n,
+		 double* a, const int* lda, int* ipiv,
+		 double* work, const int* lwork, int* info FCLEN);
+
+/* DSYTRI - compute the inverse of a real symmetric indefinite */
+/* matrix A using the factorization A = U*D*U**T or A = L*D*L**T */
+/* computed by DSYTRF */
+La_extern void
+F77_NAME(dsytri)(const char* uplo, const int* n,
+		 double* a, const int* lda, const int* ipiv,
+		 double* work, int* info FCLEN);
+
+/* DSYTRS - solve a system of linear equations A*X = B with a */
+/* real symmetric matrix A using the factorization A = U*D*U**T or */
+/* A = L*D*L**T computed by DSYTRF */
+La_extern void
+F77_NAME(dsytrs)(const char* uplo, const int* n,
+		 const int* nrhs,
+		 const double* a, const int* lda,
+		 const int* ipiv,
+		 double* b, const int* ldb, int* info FCLEN);
+
+//* Double precision Triangular Band matrices  -> DTB
+
+/* DTBCON - estimate the reciprocal of the condition number of a */
+/* triangular band matrix A, in either the 1-norm or the */
+/* infinity-norm */
+La_extern void
+F77_NAME(dtbcon)(const char* norm, const char* uplo,
+		 const char* diag, const int* n, const int* kd,
+		 const double* ab, const int* ldab,
+		 double* rcond, double* work,
+		 int* iwork, int* info FCLEN FCLEN FCLEN);
+/* DTBRFS - provide error bounds and backward error estimates for */
+/* the solution to a system of linear equations with a triangular */
+/* band coefficient matrix */
+La_extern void
+F77_NAME(dtbrfs)(const char* uplo, const char* trans,
+		 const char* diag, const int* n, const int* kd,
+		 const int* nrhs,
+		 const double* ab, const int* ldab,
+		 const double* b, const int* ldb,
+		 double* x, const int* ldx,
+		 double* ferr, double* berr,
+		 double* work, int* iwork, int* info FCLEN FCLEN FCLEN);
+/* DTBTRS - solve a triangular system of the form   A * X = B or */
+/* A**T * X = B,  */
+La_extern void
+F77_NAME(dtbtrs)(const char* uplo, const char* trans,
+		 const char* diag, const int* n,
+		 const int* kd, const int* nrhs,
+		 const double* ab, const int* ldab,
+		 double* b, const int* ldb, int* info FCLEN FCLEN FCLEN);
+
+//* Double precision Triangular matrices Generalized problems  -> DTG
+
+/* DTGEVC - compute some or all of the right and/or left */
+/* generalized eigenvectors of a pair of real upper triangular */
+/* matrices (A,B); */
+La_extern void
+F77_NAME(dtgevc)(const char* side, const char* howmny,
+		 const int* select, const int* n,
+		 const double* a, const int* lda,
+		 const double* b, const int* ldb,
+		 double* vl, const int* ldvl,
+		 double* vr, const int* ldvr,
+		 const int* mm, int* m, double* work, int* info FCLEN FCLEN);
+
+/* DTGSJA - compute the generalized singular value decomposition */
+/* (GSVD); of two real upper triangular (or trapezoidal); matrices */
+/* A and B */
+La_extern void
+F77_NAME(dtgsja)(const char* jobu, const char* jobv, const char* jobq,
+		 const int* m, const int* p, const int* n,
+		 const int* k, const int* l,
+		 double* a, const int* lda,
+		 double* b, const int* ldb,
+		 const double* tola, const double* tolb,
+		 double* alpha, double* beta,
+		 double* u, const int* ldu,
+		 double* v, const int* ldv,
+		 double* q, const int* ldq,
+		 double* work, int* ncycle, int* info
+		 FCLEN FCLEN FCLEN);
+
+//* Double precision Triangular matrices Packed storage  -> DTP
+
+/* DTPCON - estimate the reciprocal of the condition number of a */
+/* packed triangular matrix A, in either the 1-norm or the */
+/* infinity-norm */
+La_extern void
+F77_NAME(dtpcon)(const char* norm, const char* uplo,
+		 const char* diag, const int* n,
+		 const double* ap, double* rcond,
+		 double* work, int* iwork, int* info
+		 FCLEN FCLEN FCLEN);
+
+/* DTPRFS - provide error bounds and backward error estimates for */
+/* the solution to a system of linear equations with a triangular */
+/* packed coefficient matrix */
+La_extern void
+F77_NAME(dtprfs)(const char* uplo, const char* trans,
+		 const char* diag, const int* n,
+		 const int* nrhs, const double* ap,
+		 const double* b, const int* ldb,
+		 double* x, const int* ldx,
+		 double* ferr, double* berr,
+		 double* work, int* iwork, int* info
+		 FCLEN FCLEN FCLEN);
+/* DTPTRI - compute the inverse of a real upper or lower */
+/* triangular matrix A stored in packed format */
+La_extern void
+F77_NAME(dtptri)(const char* uplo, const char* diag,
+		 const int* n, double* ap, int* info FCLEN FCLEN);
+
+/* DTPTRS - solve a triangular system of the form   A * X = B or */
+/* A**T * X = B, */
+La_extern void
+F77_NAME(dtptrs)(const char* uplo, const char* trans,
+		 const char* diag, const int* n,
+		 const int* nrhs, const double* ap,
+		 double* b, const int* ldb, int* info
+		 FCLEN FCLEN);
+
+
+//* Double precision TRiangular matrices -> DTR
+
+/* DTRCON - estimate the reciprocal of the condition number of a */
+/* triangular matrix A, in either the 1-norm or the infinity-norm */
+La_extern void
+F77_NAME(dtrcon)(const char* norm, const char* uplo,
+		 const char* diag, const int* n,
+		 const double* a, const int* lda,
+		 double* rcond, double* work,
+		 int* iwork, int* info
+		 FCLEN FCLEN FCLEN);
+
+/* DTREVC - compute some or all of the right and/or left */
+/* eigenvectors of a real upper quasi-triangular matrix T */
+La_extern void
+F77_NAME(dtrevc)(const char* side, const char* howmny,
+		 const int* select, const int* n,
+		 const double* t, const int* ldt,
+		 double* vl, const int* ldvl,
+		 double* vr, const int* ldvr,
+		 const int* mm, int* m, double* work, int* info
+		 FCLEN FCLEN);
+
+/* DTREXC - reorder the real Schur factorization of a real matrix */
+/* A = Q*T*Q**T, so that the diagonal block of T with row index */
+/* IFST is moved to row ILST */
+La_extern void
+F77_NAME(dtrexc)(const char* compq, const int* n,
+		 double* t, const int* ldt,
+		 double* q, const int* ldq,
+		 int* ifst, int* ILST,
+		 double* work, int* info FCLEN);
+
+/* DTRRFS - provide error bounds and backward error estimates for */
+/* the solution to a system of linear equations with a triangular */
+/* coefficient matrix */
+La_extern void
+F77_NAME(dtrrfs)(const char* uplo, const char* trans,
+		 const char* diag, const int* n, const int* nrhs,
+		 const double* a, const int* lda,
+		 const double* b, const int* ldb,
+		 double* x, const int* ldx,
+		 double* ferr, double* berr,
+		 double* work, int* iwork, int* info
+		 FCLEN FCLEN FCLEN);
+
+/* DTRSEN - reorder the real Schur factorization of a real matrix */
+/* A = Q*T*Q**T, so that a selected cluster of eigenvalues appears */
+/* in the leading diagonal blocks of the upper quasi-triangular */
+/* matrix T, */
+La_extern void
+F77_NAME(dtrsen)(const char* job, const char* compq,
+		 const int* select, const int* n,
+		 double* t, const int* ldt,
+		 double* q, const int* ldq,
+		 double* wr, double* wi,
+		 int* m, double* s, double* sep,
+		 double* work, const int* lwork,
+		 int* iwork, const int* liwork, int* info 
+		 FCLEN FCLEN);
+
+/* DTRSNA - estimate reciprocal condition numbers for specified */
+/* eigenvalues and/or right eigenvectors of a real upper */
+/* quasi-triangular matrix T (or of any matrix Q*T*Q**T with Q */
+/* orthogonal); */
+La_extern void
+F77_NAME(dtrsna)(const char* job, const char* howmny,
+		 const int* select, const int* n,
+		 const double* t, const int* ldt,
+		 const double* vl, const int* ldvl,
+		 const double* vr, const int* ldvr,
+		 double* s, double* sep, const int* mm,
+		 int* m, double* work, const int* lwork,
+		 int* iwork, int* info FCLEN FCLEN);
+
+/* DTRSYL - solve the real Sylvester matrix equation */
+La_extern void
+F77_NAME(dtrsyl)(const char* trana, const char* tranb,
+		 const int* isgn, const int* m, const int* n,
+		 const double* a, const int* lda,
+		 const double* b, const int* ldb,
+		 double* c, const int* ldc,
+		 double* scale, int* info FCLEN FCLEN);
+
+/* DTRTI2 - compute the inverse of a real upper or lower */
+/* triangular matrix */
+La_extern void
+F77_NAME(dtrti2)(const char* uplo, const char* diag,
+		 const int* n, double* a, const int* lda,
+		 int* info FCLEN FCLEN);
+
+/* DTRTRI - compute the inverse of a real upper or lower */
+/* triangular matrix A */
+La_extern void
+F77_NAME(dtrtri)(const char* uplo, const char* diag,
+		 const int* n, double* a, const int* lda,
+		 int* info FCLEN FCLEN);
+
+/* DTRTRS - solve a triangular system of the form   A * X = B or */
+/* A**T * X = B	 */
+La_extern void
+F77_NAME(dtrtrs)(const char* uplo, const char* trans,
+		 const char* diag, const int* n, const int* nrhs,
+		 const double* a, const int* lda,
+		 double* b, const int* ldb, int* info
+		 FCLEN FCLEN FCLEN);
+
+
+
+//* Double precision utilities in Lapack 
+
+/* DHGEQZ - implement a single-/double-shift version of the QZ */
+/* method for finding the generalized eigenvalues */
+/* w(j);=(ALPHAR(j); + i*ALPHAI(j););/BETAR(j); of the equation */
+/* det( A - w(i); B ); = 0  In addition, the pair A,B may be */
+/* reduced to generalized Schur form */
+La_extern void
+F77_NAME(dhgeqz)(const char* job, const char* compq, const char* compz,
+		 const int* n, const int *ILO, const int* IHI,
+		 double* a, const int* lda,
+		 double* b, const int* ldb,
+		 double* alphar, double* alphai, const double* beta,
+		 double* q, const int* ldq,
+		 double* z, const int* ldz,
+		 double* work, const int* lwork, int* info
+		 FCLEN FCLEN FCLEN);
+/* DHSEIN - use inverse iteration to find specified right and/or */
+/* left eigenvectors of a real upper Hessenberg matrix H */
+La_extern void
+F77_NAME(dhsein)(const char* side, const char* eigsrc,
+		 const char* initv, int* select,
+		 const int* n, double* h, const int* ldh,
+		 double* wr, double* wi,
+		 double* vl, const int* ldvl,
+		 double* vr, const int* ldvr,
+		 const int* mm, int* m, double* work,
+		 int* ifaill, int* ifailr, int* info
+		 FCLEN FCLEN FCLEN);
+/* DHSEQR - compute the eigenvalues of a real upper Hessenberg */
+/* matrix H and, optionally, the matrices T and Z from the Schur */
+/* decomposition H = Z T Z**T, where T is an upper */
+/* quasi-triangular matrix (the Schur form);, and Z is the */
+/* orthogonal matrix of Schur vectors */
+La_extern void
+F77_NAME(dhseqr)(const char* job, const char* compz, const int* n,
+		 const int* ilo, const int* ihi,
+		 double* h, const int* ldh,
+		 double* wr, double* wi,
+		 double* z, const int* ldz,
+		 double* work, const int* lwork, int* info
+		 FCLEN FCLEN);
+/* DLABAD - take as input the values computed by SLAMCH for */
+/* underflow and overflow, and returns the square root of each of */
+/* these values if the log of LARGE is sufficiently large */
+La_extern void
+F77_NAME(dlabad)(double* small, double* large);
+/* DLABRD - reduce the first NB rows and columns of a real */
+/* general m by n matrix A to upper or lower bidiagonal form by an */
+/* orthogonal transformation Q' * A * P, and returns the matrices */
+/* X and Y which are needed to apply the transformation to the */
+/* unreduced part of A */
+La_extern void
+F77_NAME(dlabrd)(const int* m, const int* n, const int* nb,
+		 double* a, const int* lda, double* d, double* e,
+		 double* tauq, double* taup,
+		 double* x, const int* ldx, double* y, const int* ldy);
+/* DLACON - estimate the 1-norm of a square, real matrix A */
+La_extern void
+F77_NAME(dlacon)(const int* n, double* v, double* x,
+		 int* isgn, double* est, int* kase);
+/* DLACPY - copy all or part of a two-dimensional matrix A to */
+/* another matrix B */
+La_extern void
+F77_NAME(dlacpy)(const char* uplo, const int* m, const int* n,
+		 const double* a, const int* lda,
+		 double* b, const int* ldb FCLEN);
+/* DLADIV - perform complex division in real arithmetic	 */
+La_extern void
+F77_NAME(dladiv)(const double* a, const double* b,
+		 const double* c, const double* d,
+		 double* p, double* q);
+/* DLAE2 - compute the eigenvalues of a 2-by-2 symmetric matrix [ A B ] */
+/*								[ B C ] */
+La_extern void
+F77_NAME(dlae2)(const double* a, const double* b, const double* c,
+		double* rt1, double* rt2);
+/* DLAEBZ - contain the iteration loops which compute and use the */
+/* function N(w);, which is the count of eigenvalues of a */
+/* symmetric tridiagonal matrix T less than or equal to its */
+/* argument w  */
+La_extern void
+F77_NAME(dlaebz)(const int* ijob, const int* nitmax, const int* n,
+		 const int* mmax, const int* minp, const int* nbmin,
+		 const double* abstol, const double* reltol,
+		 const double* pivmin, double* d, double* e,
+		 double* e2, int* nval, double* ab, double* c,
+		 int* mout, int* nab, double* work, int* iwork,
+		 int* info);
+/* DLAED0 - compute all eigenvalues and corresponding */
+/* eigenvectors of a symmetric tridiagonal matrix using the divide */
+/* and conquer method */
+La_extern void
+F77_NAME(dlaed0)(const int* icompq, const int* qsiz, const int* n,
+		 double* d, double* e, double* q, const int* ldq,
+		 double* qstore, const int* ldqs,
+		 double* work, int* iwork, int* info);
+/* DLAED1 - compute the updated eigensystem of a diagonal matrix */
+/* after modification by a rank-one symmetric matrix */
+La_extern void
+F77_NAME(dlaed1)(const int* n, double* d, double* q, const int* ldq,
+		 int* indxq, const double* rho, const int* cutpnt,
+		 double* work, int* iwork, int* info);
+/* DLAED2 - merge the two sets of eigenvalues together into a */
+/* single sorted set */
+La_extern void
+F77_NAME(dlaed2)(const int* k, const int* n, double* d,
+		 double* q, const int* ldq, int* indxq,
+		 double* rho, double* z,
+		 double* dlamda, double* w, double* q2,
+		 int* indx, int* indxc, int* indxp,
+		 int* coltyp, int* info);
+/* DLAED3 - find the roots of the secular equation, as defined by */
+/* the values in double* d, W, and RHO, between KSTART and KSTOP */
+La_extern void
+F77_NAME(dlaed3)(const int* k, const int* n, const int* n1,
+		 double* d, double* q, const int* ldq,
+		 const double* rho, double* dlamda, double* q2, 
+		 int* indx, int* ctot, double* w,
+		 double* s, int* info);
+/* DLAED4 - subroutine computes the I-th updated eigenvalue of a */
+/* symmetric rank-one modification to a diagonal matrix whose */
+/* elements are given in the array d, and that	 D(i); < D(j); for */
+/* i < j  and that RHO > 0 */
+La_extern void
+F77_NAME(dlaed4)(const int* n, const int* i, const double* d,
+		 const double* z, const double* delta,
+		 const double* rho, double* dlam, int* info);
+/* DLAED5 - subroutine computes the I-th eigenvalue of a */
+/* symmetric rank-one modification of a 2-by-2 diagonal matrix */
+/* diag( D ); + RHO  The diagonal elements in the array D are */
+/* assumed to satisfy	D(i); < D(j); for i < j	 */
+La_extern void
+F77_NAME(dlaed5)(const int* i, const double* d, const double* z,
+		 double* delta, const double* rho, double* dlam);
+/* DLAED6 - compute the positive or negative root (closest to the */
+/* origin); of	z(1); z(2); z(3); f(x); = rho + --------- + */
+/* ---------- + ---------  d(1);-x d(2);-x d(3);-x  It is assumed */
+/* that	  if ORGATI = .true  */
+La_extern void
+F77_NAME(dlaed6)(const int* kniter, const int* orgati,
+		 const double* rho, const double* d,
+		 const double* z, const double* finit,
+		 double* tau, int* info);
+/* DLAED7 - compute the updated eigensystem of a diagonal matrix */
+/* after modification by a rank-one symmetric matrix */
+La_extern void
+F77_NAME(dlaed7)(const int* icompq, const int* n,
+		 const int* qsiz, const int* tlvls,
+		 const int* curlvl, const int* curpbm,
+		 double* d, double* q, const int* ldq,
+		 int* indxq, const double* rho, const int* cutpnt,
+		 double* qstore, double* qptr, const int* prmptr,
+		 const int* perm, const int* givptr,
+		 const int* givcol, const double* givnum,
+		 double* work, int* iwork, int* info);
+/* DLAED8 - merge the two sets of eigenvalues together into a */
+/* single sorted set */
+La_extern void
+F77_NAME(dlaed8)(const int* icompq, const int* k,
+		 const int* n, const int* qsiz,
+		 double* d, double* q, const int* ldq,
+		 const int* indxq, double* rho,
+		 const int* cutpnt, const double* z,
+		 double* dlamda, double* q2, const int* ldq2,
+		 double* w, int* perm, int* givptr,
+		 int* givcol, double* givnum, int* indxp,
+		 int* indx, int* info);
+/* DLAED9 - find the roots of the secular equation, as defined by */
+/* the values in double* d, Z, and RHO, between KSTART and KSTOP */
+La_extern void
+F77_NAME(dlaed9)(const int* k, const int* kstart, const int* kstop,
+		 const int* n, double* d, double* q, const int* ldq,
+		 const double* rho, const double* dlamda,
+		 const double* w, double* s, const int* lds, int* info);
+/* DLAEDA - compute the Z vector corresponding to the merge step */
+/* in the CURLVLth step of the merge process with TLVLS steps for */
+/* the CURPBMth problem */
+La_extern void
+F77_NAME(dlaeda)(const int* n, const int* tlvls, const int* curlvl,
+		 const int* curpbm, const int* prmptr, const int* perm,
+		 const int* givptr, const int* givcol,
+		 const double* givnum, const double* q,
+		 const int* qptr, double* z, double* ztemp, int* info);
+/* DLAEIN - use inverse iteration to find a right or left */
+/* eigenvector corresponding to the eigenvalue (WR,WI); of a real */
+/* upper Hessenberg matrix H */
+La_extern void
+F77_NAME(dlaein)(const int* rightv, const int* noinit, const int* n,
+		 const double* h, const int* ldh,
+		 const double* wr, const double* wi,
+		 double* vr, double* vi,
+		 double* b, const int* ldb, double* work,
+		 const double* eps3, const double* smlnum,
+		 const double* bignum, int* info);
+/* DLAEV2 - compute the eigendecomposition of a 2-by-2 symmetric */
+/* matrix  [ A B ]  [ B C ] */
+La_extern void
+F77_NAME(dlaev2)(const double* a, const double* b, const double* c,
+		 double* rt1, double* rt2, double* cs1, double *sn1);
+/* DLAEXC - swap adjacent diagonal blocks T11 and T22 of order 1 */
+/* or 2 in an upper quasi-triangular matrix T by an orthogonal */
+/* similarity transformation */
+La_extern void
+F77_NAME(dlaexc)(const int* wantq, const int* n, double* t, const int* ldt,
+		  double* q, const int* ldq, const int* j1,
+		 const int* n1, const int* n2, double* work, int* info);
+/* DLAG2 - compute the eigenvalues of a 2 x 2 generalized */
+/* eigenvalue problem A - w B, with scaling as necessary to aextern void */
+/* over-/underflow */
+La_extern void
+F77_NAME(dlag2)(const double* a, const int* lda, const double* b,
+		const int* ldb, const double* safmin,
+		double* scale1, double* scale2,
+		double* wr1, double* wr2, double* wi);
+/* DLAGS2 - compute 2-by-2 orthogonal matrices U, V and Q, such */
+/* that if ( UPPER ); then   U'*A*Q = U'*( A1 A2 );*Q = ( x 0 ); */
+/* ( 0 A3 ); ( x x ); and  V'*B*Q = V'*( B1 B2 );*Q = ( x 0 );	( */
+/* 0 B3 ); ( x x );  or if ( .NOT.UPPER ); then	  U'*A*Q = U'*( A1 */
+/* 0 );*Q = ( x x );  ( A2 A3 ); ( 0 x ); and  V'*B*Q = V'*( B1 0 */
+/* );*Q = ( x x );  ( B2 B3 ); ( 0 x );	 The rows of the */
+/* transformed A and B are parallel, where   U = ( CSU SNU );, V = */
+/* ( CSV SNV );, Q = ( CSQ SNQ );  ( -SNU CSU ); ( -SNV CSV ); ( */
+/* -SNQ CSQ );	Z' denotes the transpose of Z */
+La_extern void
+F77_NAME(dlags2)(const int* upper,
+		 const double* a1, const double* a2, const double* a3,
+		 const double* b1, const double* b2, const double* b3,
+		 double* csu, double* snu,
+		 double* csv, double* snv, double *csq, double *snq);
+/* DLAGTF - factorize the matrix (T - lambda*I);, where T is an n */
+/* by n tridiagonal matrix and lambda is a scalar, as	T - */
+/* lambda*I = PLU, */
+La_extern void
+F77_NAME(dlagtf)(const int* n, double* a, const double* lambda,
+		 double* b, double* c, const double *tol,
+		 double* d, int* in, int* info);
+/* DLAGTM - perform a matrix-vector product of the form	  B := */
+/* alpha * A * X + beta * B  where A is a tridiagonal matrix of */
+/* order N, B and X are N by NRHS matrices, and alpha and beta are */
+/* real scalars, each of which may be 0., 1., or -1 */
+La_extern void
+F77_NAME(dlagtm)(const char* trans, const int* n, const int* nrhs,
+		 const double* alpha, const double* dl,
+		 const double* d, const double* du,
+		 const double* x, const int* ldx, const double* beta,
+		 double* b, const int* ldb FCLEN);
+/* DLAGTS - may be used to solve one of the systems of equations */
+/* (T - lambda*I);*x = y or (T - lambda*I);'*x = y, */
+La_extern void
+F77_NAME(dlagts)(const int* job, const int* n,
+		 const double* a, const double* b,
+		 const double* c, const double* d,
+		 const int* in, double* y, double* tol, int* info);
+/* DLAHQR - an auxiliary routine called by DHSEQR to update the */
+/* eigenvalues and Schur decomposition already computed by DHSEQR, */
+/* by dealing with the Hessenberg submatrix in rows and columns */
+/* ILO to IHI */
+La_extern void
+F77_NAME(dlahqr)(const int* wantt, const int* wantz, const int* n,
+		 const int* ilo, const int* ihi,
+		 double* H, const int* ldh, double* wr, double* wi,
+		 const int* iloz, const int* ihiz,
+		 double* z, const int* ldz, int* info);
+/* DLAIC1 - apply one step of incremental condition estimation in */
+/* its simplest version */
+La_extern void
+F77_NAME(dlaic1)(const int* job, const int* j, const double* x,
+		 const double* sest, const double* w,
+		 const double* gamma, double* sestpr,
+		 double* s, double* c);
+/* DLALN2 - solve a system of the form (ca A - w D ); X = s B or */
+/* (ca A' - w D); X = s B with possible scaling ("s"); and */
+/* perturbation of A */
+La_extern void
+F77_NAME(dlaln2)(const int* ltrans, const int* na, const int* nw,
+		 const double* smin, const double* ca,
+		 const double* a, const int* lda,
+		 const double* d1, const double* d2,
+		 const double* b, const int* ldb,
+		 const double* wr, const double* wi,
+		 double* x, const int* ldx, double* scale,
+		 double* xnorm, int* info);
+/* DLAMCH - determine double precision machine parameters */
+La_extern double
+F77_NAME(dlamch)(const char* cmach FCLEN);
+/* DLAMRG - will create a permutation list which will merge the */
+/* elements of A (which is composed of two independently sorted */
+/* sets); into a single set which is sorted in ascending order */
+La_extern void
+F77_NAME(dlamrg)(const int* n1, const int* n2, const double* a,
+		 const int* dtrd1, const int* dtrd2, int* index);
+/* DLANGB - return the value of the one norm, or the Frobenius */
+/* norm, or the infinity norm, or the element of largest absolute */
+/* value of an n by n band matrix A, with kl sub-diagonals and ku */
+/* super-diagonals */
+La_extern double
+F77_NAME(dlangb)(const char* norm, const int* n,
+		 const int* kl, const int* ku, const double* ab,
+		 const int* ldab, double* work FCLEN);
+/* DLANGE - return the value of the one norm, or the Frobenius */
+/* norm, or the infinity norm, or the element of largest absolute */
+/* value of a real matrix A */
+La_extern double
+F77_NAME(dlange)(const char* norm, const int* m, const int* n,
+		 const double* a, const int* lda, double* work FCLEN);
+/* DLANGT - return the value of the one norm, or the Frobenius */
+/* norm, or the infinity norm, or the element of largest absolute */
+/* value of a real tridiagonal matrix A */
+La_extern double
+F77_NAME(dlangt)(const char* norm, const int* n,
+		 const double* dl, const double* d,
+		 const double* du FCLEN);
+/* DLANHS - return the value of the one norm, or the Frobenius */
+/* norm, or the infinity norm, or the element of largest absolute */
+/* value of a Hessenberg matrix A */
+La_extern double
+F77_NAME(dlanhs)(const char* norm, const int* n,
+		 const double* a, const int* lda, double* work FCLEN);
+/* DLANSB - return the value of the one norm, or the Frobenius */
+/* norm, or the infinity norm, or the element of largest absolute */
+/* value of an n by n symmetric band matrix A, with k */
+/* super-diagonals */
+La_extern double
+F77_NAME(dlansb)(const char* norm, const char* uplo,
+		 const int* n, const int* k,
+		 const double* ab, const int* ldab, double* work
+		 FCLEN FCLEN);
+/* DLANSP - return the value of the one norm, or the Frobenius */
+/* norm, or the infinity norm, or the element of largest absolute */
+/* value of a real symmetric matrix A, supplied in packed form */
+La_extern double
+F77_NAME(dlansp)(const char* norm, const char* uplo,
+		 const int* n, const double* ap, double* work
+		 FCLEN FCLEN);
+/* DLANST - return the value of the one norm, or the Frobenius */
+/* norm, or the infinity norm, or the element of largest absolute */
+/* value of a real symmetric tridiagonal matrix A */
+La_extern double
+F77_NAME(dlanst)(const char* norm, const int* n,
+		 const double* d, const double* e FCLEN);
+/* DLANSY - return the value of the one norm, or the Frobenius */
+/* norm, or the infinity norm, or the element of largest absolute */
+/* value of a real symmetric matrix A */
+La_extern double
+F77_NAME(dlansy)(const char* norm, const char* uplo, const int* n,
+		 const double* a, const int* lda, double* work
+		 FCLEN FCLEN);
+/* DLANTB - return the value of the one norm, or the Frobenius */
+/* norm, or the infinity norm, or the element of largest absolute */
+/* value of an n by n triangular band matrix A, with ( k + 1 ) diagonals */
+La_extern double
+F77_NAME(dlantb)(const char* norm, const char* uplo,
+		 const char* diag, const int* n, const int* k,
+		 const double* ab, const int* ldab, double* work
+		 FCLEN FCLEN FCLEN);
+/* DLANTP - return the value of the one norm, or the Frobenius */
+/* norm, or the infinity norm, or the element of largest absolute */
+/* value of a triangular matrix A, supplied in packed form */
+La_extern double
+F77_NAME(dlantp)(const char* norm, const char* uplo, const char* diag,
+		 const int* n, const double* ap, double* work
+		 FCLEN FCLEN FCLEN);
+/* DLANTR - return the value of the one norm, or the Frobenius */
+/* norm, or the infinity norm, or the element of largest absolute */
+/* value of a trapezoidal or triangular matrix A */
+La_extern double
+F77_NAME(dlantr)(const char* norm, const char* uplo,
+		 const char* diag, const int* m, const int* n,
+		 const double* a, const int* lda, double* work
+		 FCLEN FCLEN FCLEN);
+/* DLANV2 - compute the Schur factorization of a real 2-by-2 */
+/* nonsymmetric matrix in standard form */
+La_extern void
+F77_NAME(dlanv2)(double* a, double* b, double* c, double* d,
+		 double* rt1r, double* rt1i, double* rt2r, double* rt2i,
+		 double* cs, double *sn);
+/* DLAPLL - two column vectors X and Y, let A = ( X Y ); */
+La_extern void
+F77_NAME(dlapll)(const int* n, double* x, const int* incx,
+		 double* y, const int* incy, double* ssmin);
+/* DLAPMT - rearrange the columns of the M by N matrix X as */
+/* specified by the permutation K(1);,K(2);,...,K(N); of the */
+/* integers 1,...,N */
+La_extern void
+F77_NAME(dlapmt)(const int* forwrd, const int* m, const int* n,
+		 double* x, const int* ldx, const int* k);
+/* DLAPY2 - return sqrt(x**2+y**2);, taking care not to cause */
+/* unnecessary overflow */
+La_extern double
+F77_NAME(dlapy2)(const double* x, const double* y);
+/* DLAPY3 - return sqrt(x**2+y**2+z**2);, taking care not to */
+/* cause unnecessary overflow */
+La_extern double
+F77_NAME(dlapy3)(const double* x, const double* y, const double* z);
+/* DLAQGB - equilibrate a general M by N band matrix A with KL */
+/* subdiagonals and KU superdiagonals using the row and scaling */
+/* factors in the vectors R and C */
+La_extern void
+F77_NAME(dlaqgb)(const int* m, const int* n,
+		 const int* kl, const int* ku,
+		 double* ab, const int* ldab,
+		 double* r, double* c,
+		 double* rowcnd, double* colcnd,
+		 const double* amax, const char* equed FCLEN);
+/* DLAQGE - equilibrate a general M by N matrix A using the row */
+/* and scaling factors in the vectors R and C */
+La_extern void
+F77_NAME(dlaqge)(const int* m, const int* n,
+		 double* a, const int* lda,
+		 double* r, double* c,
+		 double* rowcnd, double* colcnd,
+		 const double* amax, const char* equed FCLEN);
+/* DLAQSB - equilibrate a symmetric band matrix A using the */
+/* scaling factors in the vector S */
+La_extern void
+F77_NAME(dlaqsb)(const char* uplo, const int* n, const int* kd,
+		 double* ab, const int* ldab, const double* s,
+		 const double* scond, const double* amax, 
+		 const char* equed FCLEN FCLEN);
+/* DLAQSP - equilibrate a symmetric matrix A using the scaling */
+/* factors in the vector S */
+La_extern void
+F77_NAME(dlaqsp)(const char* uplo, const int* n,
+		 double* ap, const double* s, const double* scond,
+		 const double* amax, int* equed FCLEN);
+/* DLAQSY - equilibrate a symmetric matrix A using the scaling */
+/* factors in the vector S */
+La_extern void
+F77_NAME(dlaqsy)(const char* uplo, const int* n,
+		 double* a, const int* lda,
+		 const double* s, const double* scond,
+		 const double* amax, int* equed FCLEN);
+/* DLAQTR - solve the real quasi-triangular system   */
+/* op(T) * p = scale*c */
+La_extern void
+F77_NAME(dlaqtr)(const int* ltran, const int* lreal, const int* n,
+		 const double* t, const int* ldt,
+		 const double* b, const double* w,
+		 double* scale, double* x, double* work, int* info);
+/* DLAR2V - apply a vector of real plane rotations from both */
+/* sides to a sequence of 2-by-2 real symmetric matrices, defined */
+/* by the elements of the vectors x, y and z  */
+La_extern void
+F77_NAME(dlar2v)(const int* n, double* x, double* y,
+		 double* z, const int* incx,
+		 const double* c, const double* s,
+		 const int* incc);
+/* DLARF - apply a real elementary reflector H to a real m by n */
+/* matrix C, from either the left or the right */
+La_extern void
+F77_NAME(dlarf)(const char* side, const int* m, const int* n,
+		const double* v, const int* incv, const double* tau,
+		double* c, const int* ldc, double* work FCLEN);
+/* DLARFB - apply a real block reflector H or its transpose H' */
+/* to a real m by n matrix C, from either the left or the right */
+La_extern void
+F77_NAME(dlarfb)(const char* side, const char* trans,
+		 const char* direct, const char* storev,
+		 const int* m, const int* n, const int* k,
+		 const double* v, const int* ldv,
+		 const double* t, const int* ldt,
+		 double* c, const int* ldc,
+		 double* work, const int* lwork
+		 FCLEN FCLEN FCLEN FCLEN);
+/* DLARFG - generate a real elementary reflector H of order n, */
+/* such that   H * ( alpha ) = ( beta ), H' * H = I */
+La_extern void
+F77_NAME(dlarfg)(const int* n, const double* alpha,
+		 double* x, const int* incx, double* tau);
+/* DLARFT - form the triangular factor T of a real block */
+/* reflector H of order n, which is defined as a product of k */
+/* elementary reflectors */
+La_extern void
+F77_NAME(dlarft)(const char* direct, const char* storev,
+		 const int* n, const int* k, double* v, const int* ldv,
+		 const double* tau, double* t, const int* ldt FCLEN FCLEN);
+/* DLARFX - apply a real elementary reflector H to a real m by n */
+/* matrix C, from either the left or the right */
+La_extern void
+F77_NAME(dlarfx)(const char* side, const int* m, const int* n,
+		 const double* v, const double* tau,
+		 double* c, const int* ldc, double* work FCLEN);
+/* DLARGV - generate a vector of real plane rotations, determined */
+/* by elements of the real vectors x and y */
+La_extern void
+F77_NAME(dlargv)(const int* n, double* x, const int* incx,
+		 double* y, const int* incy, double* c, const int* incc);
+/* DLARNV - return a vector of n random real numbers from a */
+/* uniform or normal distribution */
+La_extern void
+F77_NAME(dlarnv)(const int* idist, int* iseed, const int* n, double* x);
+/* DLARTG - generate a plane rotation so that	[ CS SN ]  */
+La_extern void
+F77_NAME(dlartg)(const double* f, const double* g, double* cs,
+		 double* sn, double *r);
+/* DLARTV - apply a vector of real plane rotations to elements of */
+/* the real vectors x and y */
+La_extern void
+F77_NAME(dlartv)(const int* n, double* x, const int* incx,
+		 double* y, const int* incy,
+		 const double* c, const double* s,
+		 const int* incc);
+/* DLARUV - return a vector of n random real numbers from a */
+/* uniform (0,1); */
+La_extern void
+F77_NAME(dlaruv)(int* iseed, const int* n, double* x);
+
+/* DLAS2 - compute the singular values of the 2-by-2 matrix */
+/* [ F G ]  [ 0 H ] */
+La_extern void
+F77_NAME(dlas2)(const double* f, const double* g, const double* h,
+		 double* ssmin, double* ssmax);
+
+/* DLASCL - multiply the M by N real matrix A by the real scalar */
+/* CTO/CFROM */
+La_extern void
+F77_NAME(dlascl)(const char* type,
+		 const int* kl,const int* ku,
+		 double* cfrom, double* cto,
+		 const int* m, const int* n,
+		 double* a, const int* lda, int* info FCLEN);
+
+/* DLASET - initialize an m-by-n matrix A to BETA on the diagonal */
+/* and ALPHA on the offdiagonals */
+La_extern void
+F77_NAME(dlaset)(const char* uplo, const int* m, const int* n,
+		 const double* alpha, const double* beta,
+		 double* a, const int* lda FCLEN);
+/* DLASQ1 - DLASQ1 computes the singular values of a real N-by-N */
+/* bidiagonal  matrix with diagonal D and off-diagonal E */
+La_extern void
+F77_NAME(dlasq1)(const int* n, double* d, double* e,
+		 double* work, int* info);
+/* DLASQ2 - DLASQ2 computes the singular values of a real N-by-N */
+/* unreduced  bidiagonal matrix with squared diagonal elements in */
+/* Q and  squared off-diagonal elements in E */
+La_extern void
+F77_NAME(dlasq2)(const int* m, double* q, double* e,
+		 double* qq, double* ee, const double* eps,
+		 const double* tol2, const double* small2,
+		 double* sup, int* kend, int* info);
+/* DLASQ3 - DLASQ3 is the workhorse of the whole bidiagonal SVD */
+/* algorithm */
+La_extern void
+F77_NAME(dlasq3)(int* n, double* q, double* e, double* qq,
+		 double* ee, double* sup, double *sigma,
+		 int* kend, int* off, int* iphase,
+		 const int* iconv, const double* eps,
+		 const double* tol2, const double* small2);
+/* DLASQ4 - DLASQ4 estimates TAU, the smallest eigenvalue of a */
+/* matrix */
+La_extern void
+F77_NAME(dlasq4)(const int* n, const double* q, const double* e,
+		 double* tau, double* sup);
+/* DLASR - perform the transformation	A := P*A, when SIDE = 'L' */
+/* or 'l' ( Left-hand side );	A := A*P', when SIDE = 'R' or 'r' */
+/* ( Right-hand side );	 where A is an m by n real matrix and P is */
+/* an orthogonal matrix, */
+La_extern void
+F77_NAME(dlasr)(const char* side, const char* pivot,
+		const char* direct, const int* m, const int* n,
+		const double* c, const double* s,
+		double* a, const int* lda FCLEN FCLEN FCLEN);
+/* DLASRT - the numbers in D in increasing order (if ID = 'I'); */
+/* or in decreasing order (if ID = 'D' ); */
+La_extern void
+F77_NAME(dlasrt)(const char* id, const int* n, double* d, int* info FCLEN);
+/* DLASSQ - return the values scl and smsq such that   ( scl**2 */
+/* );*smsq = x( 1 );**2 +...+ x( n );**2 + ( scale**2 );*sumsq, */
+La_extern void
+F77_NAME(dlassq)(const int* n, const double* x, const int* incx,
+		 double* scale, double* sumsq);
+/* DLASV2 - compute the singular value decomposition of a 2-by-2 */
+/* triangular matrix  [ F G ]  [ 0 H ] */
+La_extern void
+F77_NAME(dlasv2)(const double* f, const double* g, const double* h,
+		 double* ssmin, double* ssmax, double* snr, double* csr,
+		 double* snl, double* csl);
+/* DLASWP - perform a series of row interchanges on the matrix A */
+La_extern void
+F77_NAME(dlaswp)(const int* n, double* a, const int* lda,
+		 const int* k1, const int* k2,
+		 const int* ipiv, const int* incx);
+/* DLASY2 - solve for the N1 by N2 matrix double* x, 1 <= N1,N2 <= 2, in */
+/* op(TL);*X + ISGN*X*op(TR); = SCALE*B, */
+La_extern void
+F77_NAME(dlasy2)(const int* ltranl, const int* ltranr,
+		 const int* isgn, const int* n1, const int* n2,
+		 const double* tl, const int* ldtl,
+		 const double* tr, const int* ldtr,
+		 const double* b, const int* ldb,
+		 double* scale, double* x, const int* ldx,
+		 double* xnorm, int* info);
+/* DLASYF - compute a partial factorization of a real symmetric */
+/* matrix A using the Bunch-Kaufman diagonal pivoting method */
+La_extern void
+F77_NAME(dlasyf)(const char* uplo, const int* n,
+		 const int* nb, const int* kb,
+		 double* a, const int* lda, int* ipiv,
+		 double* w, const int* ldw, int* info FCLEN);
+/* DLATBS - solve one of the triangular systems	  A *x = s*b or */
+/* A'*x = s*b  with scaling to prevent overflow, where A is an */
+/* upper or lower triangular band matrix */
+La_extern void
+F77_NAME(dlatbs)(const char* uplo, const char* trans,
+		 const char* diag, const char* normin,
+		 const int* n, const int* kd,
+		 const double* ab, const int* ldab,
+		 double* x, double* scale, double* cnorm, int* info
+		 FCLEN FCLEN FCLEN FCLEN);
+/* DLATPS - solve one of the triangular systems	  A *x = s*b or */
+/* A'*x = s*b  with scaling to prevent overflow, where A is an */
+/* upper or lower triangular matrix stored in packed form */
+La_extern void
+F77_NAME(dlatps)(const char* uplo, const char* trans,
+		 const char* diag, const char* normin,
+		 const int* n, const double* ap,
+		 double* x, double* scale, double* cnorm, int* info
+		 FCLEN FCLEN FCLEN FCLEN);
+/* DLATRD - reduce NB rows and columns of a real symmetric matrix */
+/* A to symmetric tridiagonal form by an orthogonal similarity */
+/* transformation Q' * A * Q, and returns the matrices V and W */
+/* which are needed to apply the transformation to the unreduced */
+/* part of A */
+La_extern void
+F77_NAME(dlatrd)(const char* uplo, const int* n, const int* nb,
+		 double* a, const int* lda, double* e, double* tau,
+		 double* w, const int* ldw FCLEN);
+/* DLATRS - solve one of the triangular systems	  A *x = s*b or */
+/* A'*x = s*b  with scaling to prevent overflow */
+La_extern void
+F77_NAME(dlatrs)(const char* uplo, const char* trans,
+		 const char* diag, const char* normin,
+		 const int* n, const double* a, const int* lda,
+		 double* x, double* scale, double* cnorm, int* info
+		 FCLEN FCLEN FCLEN FCLEN );
+/* DLAUU2 - compute the product U * U' or L' * const int* l, where the */
+/* triangular factor U or L is stored in the upper or lower */
+/* triangular part of the array A */
+La_extern void
+F77_NAME(dlauu2)(const char* uplo, const int* n,
+		 double* a, const int* lda, int* info FCLEN);
+/* DLAUUM - compute the product U * U' or L' * L, where the */
+/* triangular factor U or L is stored in the upper or lower */
+/* triangular part of the array A */
+La_extern void
+F77_NAME(dlauum)(const char* uplo, const int* n,
+		 double* a, const int* lda, int* info FCLEN);
+
+/* ======================================================================== */
+
+
+//* Selected Double Complex Lapack Routines
+/*  ========
+ */
+
+/* IZMAX1 finds the index of the element whose real part has maximum
+ * absolute value. Returns Fortran INTEGER. */
+La_extern int
+F77_NAME(izmax1)(const int *n, Rcomplex *cx, const int *incx);
+
+
+/*  ZGECON estimates the reciprocal of the condition number of a general
+ *  complex matrix A, in either the 1-norm or the infinity-norm, using
+ *  the LU factorization computed by ZGETRF.
+ */
+La_extern void
+F77_NAME(zgecon)(const char* norm, const int *n,
+		 const Rcomplex *a, const int *lda,
+		 const double *anorm, double *rcond,
+		 Rcomplex *work, double *rwork, int *info FCLEN);
+
+/* ZGESV computes the solution to a complex system of linear equations */
+La_extern void
+F77_NAME(zgesv)(const int *n, const int *nrhs, Rcomplex *a,
+		const int *lda, int *ipiv, Rcomplex *b,
+		const int *ldb, int *info);
+
+/*  ZGEQP3 computes a QR factorization with column pivoting */
+La_extern void
+F77_NAME(zgeqp3)(const int *m, const int *n,
+		 Rcomplex *a, const int *lda,
+		 int *jpvt, Rcomplex *tau,
+		 Rcomplex *work, const int *lwork,
+		 double *rwork, int *info);
+
+/* ZUNMQR applies Q or Q**H from the Left or Right */
+La_extern void
+F77_NAME(zunmqr)(const char* side, const char* trans,
+		 const int *m, const int *n, const int *k,
+		 Rcomplex *a, const int *lda,
+		 Rcomplex *tau,
+		 Rcomplex *c, const int *ldc,
+		 Rcomplex *work, const int *lwork, int *info FCLEN FCLEN);
+
+/*  ZTRTRS solves triangular systems */
+La_extern void
+F77_NAME(ztrtrs)(const char* uplo, const char* trans, const char* diag,
+		 const int *n, const int *nrhs,
+		 Rcomplex *a, const int *lda,
+		 Rcomplex *b, const int *ldb, int *info
+		 FCLEN FCLEN FCLEN);
+/* ZGESVD - compute the singular value decomposition (SVD); of a   */
+/* real M-by-N matrix A, optionally computing the left and/or	   */
+/* right singular vectors					   */
+La_extern void
+F77_NAME(zgesvd)(const char* jobu, const char* jobvt,
+		 const int *m, const int *n,
+		 Rcomplex *a, const int *lda, double *s,
+		 Rcomplex *u, const int *ldu,
+		 Rcomplex *vt, const int *ldvt,
+		 Rcomplex *work, const int *lwork, double *rwork,
+		 int *info FCLEN FCLEN);
+
+/* ZGHEEV - compute all eigenvalues and, optionally, eigenvectors */
+/* of a Hermitian matrix A */
+La_extern void
+F77_NAME(zheev)(const char* jobz, const char* uplo,
+		const int *n, Rcomplex *a, const int *lda,
+		double *w, Rcomplex *work, const int *lwork,
+		double *rwork, int *info FCLEN FCLEN);
+
+/* ZGGEEV - compute all eigenvalues and, optionally, eigenvectors */
+/* of a complex non-symmetric matrix A */
+La_extern void
+F77_NAME(zgeev)(const char* jobvl, const char* jobvr,
+		const int *n, Rcomplex *a, const int *lda,
+		Rcomplex *wr, Rcomplex *vl, const int *ldvl,
+		Rcomplex *vr, const int *ldvr,
+		Rcomplex *work, const int *lwork,
+		double *rwork, int *info FCLEN FCLEN);
+
+/*  ZLACN2 estimates the 1-norm of a square, complex matrix A.
+ *  Reverse communication is used for evaluating matrix-vector products.
+ * Added in R 2.7.0
+*/
+La_extern void
+F77_NAME(zlacn2)(const int *n, Rcomplex *v, Rcomplex *x,
+                 double *est, int *kase, int *isave);
+
+/* ZLANTR  -  return the value of the one norm, or the Frobenius norm,
+ * or the infinity norm, or the element of largest absolute value of
+ * a trapezoidal or triangular matrix A.
+ * Added in R 2.7.0
+*/
+La_extern double
+F77_NAME(zlantr)(const char* norm, const char* uplo, const char* diag,
+		 const int *m, const int *n, Rcomplex *a,
+		 const int *lda, double *work FCLEN FCLEN FCLEN);
+
+/* DZSUM1 - take the sum of the absolute values of a complex
+ * vector and returns a double precision result
+ * Added in R 2.15.2
+*/
+La_extern double
+F77_NAME(dzsum1)(const int *n, Rcomplex *CX, const int *incx);
+
+/* Added in R 3.6.2 */
+La_extern void
+F77_NAME(zpotrf)(const char* uplo, const int* n,
+		 Rcomplex* a, const int* lda, int* info FCLEN);
+La_extern void
+F77_NAME(zpotri)(const char* uplo, const int* n,
+		 Rcomplex* a, const int* lda, int* info FCLEN);
+La_extern void
+F77_NAME(zpotrs)(const char* uplo, const int* n,
+		 const int* nrhs, const Rcomplex* a, const int* lda,
+		 Rcomplex* b, const int* ldb, int* info FCLEN);
+
+/* ======================================================================== */
+
+//* Other double precision and double complex Lapack routines provided by libRlapack.
+/*
+   These are extracted from the CLAPACK headers.
+*/
+
+La_extern void
+F77_NAME(dbdsdc)(const char* uplo, const char* compq, int *n,
+	double * d, double *e, double *u, int *ldu, double *vt,
+	int *ldvt, double *q, int *iq, double *work, int * iwork, int *info
+		 FCLEN FCLEN);
+
+La_extern void
+F77_NAME(dgelsd)(int *m, int *n, int *nrhs,
+	double *a, int *lda, double *b, int *ldb, double *
+	s, double *rcond, int *rank, double *work, int *lwork,
+	 int *iwork, int *info);
+
+La_extern void
+F77_NAME(dgesc2)(int *n, double *a, int *lda,
+	double *rhs, int *ipiv, int *jpiv, double *scale);
+
+/* DGESDD - compute the singular value decomposition (SVD); of a   */
+/* real M-by-N matrix A, optionally computing the left and/or	   */
+/* right singular vectors.  If singular vectors are desired, it uses a */
+/* divide-and-conquer algorithm.				   */
+La_extern void
+F77_NAME(dgesdd)(const char* jobz,
+		 const int *m, const int *n,
+		 double *a, const int *lda, double *s,
+		 double *u, const int *ldu,
+		 double *vt, const int *ldvt,
+		 double *work, const int *lwork, int *iwork, int *info FCLEN );
+
+La_extern void
+F77_NAME(dgetc2)(int *n, double *a, int *lda, int
+	*ipiv, int *jpiv, int *info);
+
+typedef int (*L_fp)(double *, double *, double *);
+La_extern void
+F77_NAME(dggesx)(const char* jobvsl, const char* jobvsr, const char* sort, L_fp
+	delctg, const char* sense, int *n, double *a, int *lda,
+	double *b, int *ldb, int *sdim, double *alphar,
+	double *alphai, double *beta, double *vsl, int *ldvsl,
+	 double *vsr, int *ldvsr, double *rconde, double *
+	rcondv, double *work, int *lwork, int *iwork, int *
+		 liwork, int *bwork, int *info
+		 FCLEN FCLEN FCLEN FCLEN);
+
+La_extern void
+F77_NAME(dggev)(const char* jobvl, const char* jobvr, int *n, double *
+	a, int *lda, double *b, int *ldb, double *alphar,
+	double *alphai, double *beta, double *vl, int *ldvl,
+	double *vr, int *ldvr, double *work, int *lwork,
+		int *info FCLEN FCLEN);
+
+La_extern void
+F77_NAME(dggevx)(const char* balanc, const char* jobvl, const char* jobvr, const char* 
+	sense, int *n, double *a, int *lda, double *b,
+	int *ldb, double *alphar, double *alphai, double *
+	beta, double *vl, int *ldvl, double *vr, int *ldvr,
+	int *ilo, int *ihi, double *lscale, double *rscale,
+	double *abnrm, double *bbnrm, double *rconde, double *
+	rcondv, double *work, int *lwork, int *iwork, int *
+		 bwork, int *info FCLEN FCLEN FCLEN FCLEN);
+
+La_extern void
+F77_NAME(dgtts2)(int *itrans, int *n, int *nrhs,
+	double *dl, double *d, double *du, double *du2,
+	int *ipiv, double *b, int *ldb);
+La_extern void
+F77_NAME(dlagv2)(double *a, int *lda, double *b, int *ldb, double *alphar,
+		 double *alphai, double * beta, double *csl, double *snl,
+		 double *csr, double * snr);
+
+La_extern void
+F77_NAME(dlals0)(int *icompq, int *nl, int *nr,
+	int *sqre, int *nrhs, double *b, int *ldb, double
+	*bx, int *ldbx, int *perm, int *givptr, int *givcol,
+	int *ldgcol, double *givnum, int *ldgnum, double *
+	poles, double *difl, double *difr, double *z, int *
+	k, double *c, double *s, double *work, int *info);
+
+La_extern void
+F77_NAME(dlalsa)(int *icompq, int *smlsiz, int *n,
+	int *nrhs, double *b, int *ldb, double *bx, int *
+	ldbx, double *u, int *ldu, double *vt, int *k,
+	double *difl, double *difr, double *z, double *
+	poles, int *givptr, int *givcol, int *ldgcol, int *
+	perm, double *givnum, double *c, double *s, double *
+	work, int *iwork, int *info);
+
+La_extern void
+F77_NAME(dlalsd)(const char* uplo, int *smlsiz, int *n, int
+	*nrhs, double *d, double *e, double *b, int *ldb,
+	double *rcond, int *rank, double *work, int *iwork,
+		 int *info FCLEN);
+
+La_extern void
+F77_NAME(dlamc1)(int *beta, int *t, int *rnd, int
+	*ieee1);
+
+La_extern void
+F77_NAME(dlamc2)(int *beta, int *t, int *rnd,
+	double *eps, int *emin, double *rmin, int *emax,
+	double *rmax);
+
+La_extern double
+F77_NAME(dlamc3)(double *a, double *b);
+
+La_extern void
+F77_NAME(dlamc4)(int *emin, double *start, int *base);
+
+La_extern void
+F77_NAME(dlamc5)(int *beta, int *p, int *emin,
+	int *ieee, int *emax, double *rmax);
+
+La_extern void
+F77_NAME(dlaqp2)(int *m, int *n, int *offset,
+	double *a, int *lda, int *jpvt, double *tau,
+	double *vn1, double *vn2, double *work);
+
+La_extern void
+F77_NAME(dlaqps)(int *m, int *n, int *offset, int
+	*nb, int *kb, double *a, int *lda, int *jpvt,
+	double *tau, double *vn1, double *vn2, double *auxv,
+	double *f, int *ldf);
+
+La_extern void
+F77_NAME(dlar1v)(int *n, int *b1, int *bn, double
+	*sigma, double *d, double *l, double *ld, double *
+	lld, double *gersch, double *z, double *ztz, double
+	*mingma, int *r, int *isuppz, double *work);
+
+La_extern void
+F77_NAME(dlarrb)(int *n, double *d, double *l,
+	double *ld, double *lld, int *ifirst, int *ilast,
+	double *sigma, double *reltol, double *w, double *
+	wgap, double *werr, double *work, int *iwork, int *
+	info);
+
+La_extern void
+F77_NAME(dlarre)(int *n, double *d, double *e,
+	double *tol, int *nsplit, int *isplit, int *m,
+	double *w, double *woff, double *gersch, double *work,
+	 int *info);
+
+La_extern void
+F77_NAME(dlarrf)(int *n, double *d, double *l,
+	double *ld, double *lld, int *ifirst, int *ilast,
+	double *w, double *dplus, double *lplus, double *work,
+	 int *iwork, int *info);
+
+La_extern void
+F77_NAME(dlarrv)(int *n, double *d, double *l,
+	int *isplit, int *m, double *w, int *iblock,
+	double *gersch, double *tol, double *z, int *ldz,
+	int *isuppz, double *work, int *iwork, int *info);
+
+La_extern void
+F77_NAME(dlarz)(const char* side, int *m, int *n, int *l,
+	double *v, int *incv, double *tau, double *c,
+		int *ldc, double *work FCLEN);
+
+La_extern void
+F77_NAME(dlarzb)(const char* side, const char* trans, const char* direct, const char* 
+	storev, int *m, int *n, int *k, int *l, double *v,
+	 int *ldv, double *t, int *ldt, double *c, int *
+		 ldc, double *work, int *ldwork
+		 FCLEN FCLEN FCLEN FCLEN);
+
+La_extern void
+F77_NAME(dlarzt)(const char* direct, const char* storev, int *n, int *
+	k, double *v, int *ldv, double *tau, double *t,
+		 int *ldt FCLEN FCLEN);
+
+La_extern void
+F77_NAME(dlasd0)(int *n, int *sqre, double *d,
+	double *e, double *u, int *ldu, double *vt, int *
+	ldvt, int *smlsiz, int *iwork, double *work, int *
+	info);
+
+La_extern void
+F77_NAME(dlasd1)(int *nl, int *nr, int *sqre,
+	double *d, double *alpha, double *beta, double *u,
+	int *ldu, double *vt, int *ldvt, int *idxq, int *
+	iwork, double *work, int *info);
+
+La_extern void
+F77_NAME(dlasd2)(int *nl, int *nr, int *sqre, int
+	*k, double *d, double *z, double *alpha, double *
+	beta, double *u, int *ldu, double *vt, int *ldvt,
+	double *dsigma, double *u2, int *ldu2, double *vt2,
+	int *ldvt2, int *idxp, int *idx, int *idxc, int *
+	idxq, int *coltyp, int *info);
+
+La_extern void
+F77_NAME(dlasd3)(int *nl, int *nr, int *sqre, int
+	*k, double *d, double *q, int *ldq, double *dsigma,
+	double *u, int *ldu, double *u2, int *ldu2,
+	double *vt, int *ldvt, double *vt2, int *ldvt2,
+	int *idxc, int *ctot, double *z, int *info);
+
+La_extern void
+F77_NAME(dlasd4)(int *n, int *i, double *d,
+	double *z, double *delta, double *rho, double *
+	sigma, double *work, int *info);
+
+La_extern void
+F77_NAME(dlasd5)(int *i, double *d, double *z,
+	double *delta, double *rho, double *dsigma, double *
+	work);
+
+La_extern void
+F77_NAME(dlasd6)(int *icompq, int *nl, int *nr,
+	int *sqre, double *d, double *vf, double *vl,
+	double *alpha, double *beta, int *idxq, int *perm,
+	int *givptr, int *givcol, int *ldgcol, double *givnum,
+	 int *ldgnum, double *poles, double *difl, double *
+	difr, double *z, int *k, double *c, double *s,
+	double *work, int *iwork, int *info);
+
+La_extern void
+F77_NAME(dlasd7)(int *icompq, int *nl, int *nr,
+	int *sqre, int *k, double *d, double *z,
+	double *zw, double *vf, double *vfw, double *vl,
+	double *vlw, double *alpha, double *beta, double *
+	dsigma, int *idx, int *idxp, int *idxq, int *perm,
+	int *givptr, int *givcol, int *ldgcol, double *givnum,
+	 int *ldgnum, double *c, double *s, int *info);
+
+La_extern void
+F77_NAME(dlasd8)(int *icompq, int *k, double *d,
+	double *z, double *vf, double *vl, double *difl,
+	double *difr, int *lddifr, double *dsigma, double *
+	work, int *info);
+
+La_extern void
+F77_NAME(dlasd9)(int *icompq, int *ldu, int *k,
+	double *d, double *z, double *vf, double *vl,
+	double *difl, double *difr, double *dsigma, double *
+	work, int *info);
+
+La_extern void
+F77_NAME(dlasda)(int *icompq, int *smlsiz, int *n,
+	int *sqre, double *d, double *e, double *u, int
+	*ldu, double *vt, int *k, double *difl, double *difr,
+	double *z, double *poles, int *givptr, int *givcol,
+	int *ldgcol, int *perm, double *givnum, double *c,
+	double *s, double *work, int *iwork, int *info);
+
+La_extern void
+F77_NAME(dlasdq)(const char* uplo, int *sqre, int *n, int *
+	ncvt, int *nru, int *ncc, double *d, double *e,
+	double *vt, int *ldvt, double *u, int *ldu,
+		 double *c, int *ldc, double *work, int *info FCLEN);
+
+La_extern void
+F77_NAME(dlasdt)(int *n, int *lvl, int *nd, int *
+	inode, int *ndiml, int *ndimr, int *msub);
+
+La_extern void
+F77_NAME(dlasq5)(int *i0, int *n0, double *z,
+	int *pp, double *tau, double *dmin, double *dmin1,
+	double *dmin2, double *dn, double *dnm1, double *dnm2,
+	 int *ieee);
+
+La_extern void
+F77_NAME(dlasq6)(int *i0, int *n0, double *z,
+	int *pp, double *dmin, double *dmin1, double *dmin2,
+	 double *dn, double *dnm1, double *dnm2);
+
+La_extern void
+F77_NAME(dlatdf)(int *ijob, int *n, double *z,
+	int *ldz, double *rhs, double *rdsum, double *rdscal,
+	int *ipiv, int *jpiv);
+
+La_extern void
+F77_NAME(dlatrz)(int *m, int *n, int *l, double *
+	a, int *lda, double *tau, double *work);
+
+La_extern void
+F77_NAME(dormr3)(const char* side, const char* trans, int *m, int *n,
+	int *k, int *l, double *a, int *lda, double *tau,
+		 double *c, int *ldc, double *work, int *info FCLEN FCLEN);
+
+La_extern void
+F77_NAME(dormrz)(const char* side, const char* trans, int *m, int *n,
+	int *k, int *l, double *a, int *lda, double *tau,
+	double *c, int *ldc, double *work, int *lwork,
+		 int *info FCLEN FCLEN);
+
+La_extern void
+F77_NAME(dptts2)(int *n, int *nrhs, double *d,
+	double *e, double *b, int *ldb);
+
+La_extern void
+F77_NAME(dsbgvd)(const char* jobz, const char* uplo, int *n, int *ka,
+	int *kb, double *ab, int *ldab, double *bb, int *
+	ldbb, double *w, double *z, int *ldz, double *work,
+		 int *lwork, int *iwork, int *liwork, int *info FCLEN FCLEN);
+
+La_extern void
+F77_NAME(dsbgvx)(const char* jobz, const char* range, const char* uplo, int *n,
+	int *ka, int *kb, double *ab, int *ldab, double *
+	bb, int *ldbb, double *q, int *ldq, double *vl,
+	double *vu, int *il, int *iu, double *abstol, int
+	*m, double *w, double *z, int *ldz, double *work,
+		 int *iwork, int *ifail, int *info FCLEN FCLEN FCLEN);
+
+La_extern void
+F77_NAME(dspgvd)(int *itype, const char* jobz, const char* uplo, int *
+		 n, double *ap, double *bp, double *w, double *z,
+		 int *ldz, double *work, int *lwork, int *iwork,
+		 int *liwork, int *info FCLEN FCLEN);
+
+La_extern void
+F77_NAME(dspgvx)(int *itype, const char* jobz, const char* range, const char* 
+		 uplo, int *n, double *ap, double *bp, double *vl,
+		 double *vu, int *il, int *iu, double *abstol, int
+		 *m, double *w, double *z, int *ldz, double *work,
+		 int *iwork, int *ifail, int *info FCLEN FCLEN FCLEN);
+
+La_extern void
+F77_NAME(dstegr)(const char* jobz, const char* range, int *n, double *
+		 d, double *e, double *vl, double *vu, int *il,
+		 int *iu, double *abstol, int *m, double *w,
+		 double *z, int *ldz, int *isuppz, double *work,
+		 int *lwork, int *iwork, int *liwork, int *info FCLEN FCLEN);
+
+La_extern void
+F77_NAME(dstevr)(const char* jobz, const char* range, int *n,
+		 double *d, double *e, double *vl, double *vu, int *il,
+		 int *iu, double *abstol, int *m, double *w,
+		 double *z, int *ldz, int *isuppz, double *work,
+		 int *lwork, int *iwork, int *liwork, int *info FCLEN FCLEN);
+
+La_extern void
+F77_NAME(dsygvd)(int *itype, const char* jobz, const char* uplo, int *
+		 n, double *a, int *lda, double *b, int *ldb,
+		 double *w, double *work, int *lwork, int *iwork,
+		 int *liwork, int *info FCLEN FCLEN);
+
+La_extern void
+F77_NAME(dsygvx)(int *itype, const char* jobz, const char* range,
+		 const char* uplo, int *n, double *a, int *lda, double *b,
+		 int *ldb, double *vl, double *vu, int *il, int *iu,
+		 double *abstol, int *m, double *w, double *z,
+		 int *ldz, double *work, int *lwork, int *iwork,
+		 int *ifail, int *info FCLEN FCLEN FCLEN);
+
+La_extern void
+F77_NAME(dtgex2)(int *wantq, int *wantz, int *n,
+	double *a, int *lda, double *b, int *ldb, double *
+	q, int *ldq, double *z, int *ldz, int *j1, int *
+	n1, int *n2, double *work, int *lwork, int *info);
+
+La_extern void
+F77_NAME(dtgexc)(int *wantq, int *wantz, int *n,
+	double *a, int *lda, double *b, int *ldb, double *
+	q, int *ldq, double *z, int *ldz, int *ifst,
+	int *ilst, double *work, int *lwork, int *info);
+
+La_extern void
+F77_NAME(dtgsen)(int *ijob, int *wantq, int *wantz,
+	int *select, int *n, double *a, int *lda, double *
+	b, int *ldb, double *alphar, double *alphai, double *
+	beta, double *q, int *ldq, double *z, int *ldz,
+	int *m, double *pl, double *pr, double *dif,
+	double *work, int *lwork, int *iwork, int *liwork,
+	int *info);
+
+La_extern void
+F77_NAME(dtgsna)(const char* job, const char* howmny, int *select,
+	int *n, double *a, int *lda, double *b, int *ldb,
+	double *vl, int *ldvl, double *vr, int *ldvr,
+	double *s, double *dif, int *mm, int *m, double *
+		 work, int *lwork, int *iwork, int *info FCLEN FCLEN);
+
+La_extern void
+F77_NAME(dtgsy2)(const char* trans, int *ijob, int *m, int *
+	n, double *a, int *lda, double *b, int *ldb,
+	double *c, int *ldc, double *d, int *ldd,
+	double *e, int *lde, double *f, int *ldf, double *
+	scale, double *rdsum, double *rdscal, int *iwork, int
+		 *pq, int *info FCLEN);
+
+La_extern void
+F77_NAME(dtgsyl)(const char* trans, int *ijob, int *m, int *
+	n, double *a, int *lda, double *b, int *ldb,
+	double *c, int *ldc, double *d, int *ldd,
+	double *e, int *lde, double *f, int *ldf, double *
+	scale, double *dif, double *work, int *lwork, int *
+		 iwork, int *info FCLEN);
+
+La_extern void
+F77_NAME(dtzrzf)(int *m, int *n, double *a, int *
+	lda, double *tau, double *work, int *lwork, int *info);
+
+La_extern void
+F77_NAME(dpstrf)(const char* uplo, const int* n,
+		 double* a, const int* lda, int* piv, int* rank,
+		 double* tol, double *work, int* info FCLEN);
+
+/* This returns Fortran LOGICAL.  Compiler-specific, but
+   int_least32_t in gfortran */
+La_extern int
+F77_NAME(lsame)(const char* ca, const char* cb FCLEN FCLEN);
+
+La_extern void
+F77_NAME(zbdsqr)(const char* uplo, int *n, int *ncvt, int *
+	nru, int *ncc, double *d, double *e, Rcomplex *vt,
+	int *ldvt, Rcomplex *u, int *ldu, Rcomplex *c,
+		 int *ldc, double *rwork, int *info FCLEN);
+
+La_extern void
+F77_NAME(zdrot)(const int *n, const Rcomplex *cx, const int *incx,
+	Rcomplex *cy, const int *incy, const double *c, const double *s);
+
+La_extern void
+F77_NAME(zgebak)(const char* job, const char* side, int *n, int *ilo,
+	int *ihi, double *scale, int *m, Rcomplex *v,
+		 int *ldv, int *info FCLEN FCLEN);
+
+La_extern void
+F77_NAME(zgebal)(const char* job, int *n, Rcomplex *a, int
+		 *lda, int *ilo, int *ihi, double *scale, int *info FCLEN);
+
+La_extern void
+F77_NAME(zgebd2)(int *m, int *n, Rcomplex *a,
+	int *lda, double *d, double *e, Rcomplex *tauq,
+	Rcomplex *taup, Rcomplex *work, int *info);
+
+La_extern void
+F77_NAME(zgebrd)(int *m, int *n, Rcomplex *a,
+	int *lda, double *d, double *e, Rcomplex *tauq,
+	Rcomplex *taup, Rcomplex *work, int *lwork, int *
+	info);
+La_extern void
+F77_NAME(zgehd2)(int *n, int *ilo, int *ihi,
+	Rcomplex *a, int *lda, Rcomplex *tau, Rcomplex *
+	work, int *info);
+
+La_extern void
+F77_NAME(zgehrd)(int *n, int *ilo, int *ihi,
+	Rcomplex *a, int *lda, Rcomplex *tau, Rcomplex *
+	work, int *lwork, int *info);
+
+La_extern void
+F77_NAME(zgelq2)(int *m, int *n, Rcomplex *a,
+	int *lda, Rcomplex *tau, Rcomplex *work, int *info);
+
+La_extern void
+F77_NAME(zgelqf)(int *m, int *n, Rcomplex *a,
+	int *lda, Rcomplex *tau, Rcomplex *work, int *lwork,
+	 int *info);
+
+La_extern void
+F77_NAME(zgeqr2)(int *m, int *n, Rcomplex *a,
+	int *lda, Rcomplex *tau, Rcomplex *work, int *info);
+
+La_extern void
+F77_NAME(zgeqrf)(int *m, int *n, Rcomplex *a,
+		 int *lda, Rcomplex *tau, Rcomplex *work, int *lwork,
+		 int *info);
+
+La_extern void
+F77_NAME(zgetf2)(int *m, int *n, Rcomplex *a,
+	int *lda, int *ipiv, int *info);
+
+La_extern void
+F77_NAME(zgetrf)(int *m, int *n, Rcomplex *a,
+	int *lda, int *ipiv, int *info);
+
+La_extern void
+F77_NAME(zgetrs)(const char* trans, int *n, int *nrhs,
+	Rcomplex *a, int *lda, int *ipiv, Rcomplex *b,
+		 int *ldb, int *info FCLEN);
+
+
+La_extern void
+F77_NAME(zhetd2)(const char* uplo, int *n, Rcomplex *a, int *lda, double *d,
+		 double *e, Rcomplex *tau, int *info FCLEN);
+
+La_extern void
+F77_NAME(zhetrd)(const char* uplo, int *n, Rcomplex *a,
+	int *lda, double *d, double *e, Rcomplex *tau,
+		 Rcomplex *work, int *lwork, int *info FCLEN);
+
+La_extern void
+F77_NAME(zhseqr)(const char* job, const char* compz, int *n, int *ilo,
+	 int *ihi, Rcomplex *h, int *ldh, Rcomplex *w,
+	Rcomplex *z, int *ldz, Rcomplex *work, int *lwork,
+		 int *info FCLEN FCLEN);
+
+La_extern void
+F77_NAME(zlabrd)(int *m, int *n, int *nb,
+	Rcomplex *a, int *lda, double *d, double *e,
+	Rcomplex *tauq, Rcomplex *taup, Rcomplex *x, int *
+	ldx, Rcomplex *y, int *ldy);
+
+La_extern void
+F77_NAME(zlacgv)(int *n, Rcomplex *x, int *incx);
+
+La_extern void
+F77_NAME(zlacpy)(const char* uplo, int *m, int *n,
+		 Rcomplex *a, int *lda, Rcomplex *b, int *ldb FCLEN);
+
+La_extern void
+F77_NAME(zlahqr)(int *wantt, int *wantz, int *n,
+	int *ilo, int *ihi, Rcomplex *h, int *ldh,
+	Rcomplex *w, int *iloz, int *ihiz, Rcomplex *z,
+	int *ldz, int *info);
+
+La_extern double
+F77_NAME(zlange)(const char* norm, int *m, int *n, Rcomplex *a, int *lda,
+		 double *work FCLEN);
+
+La_extern double
+F77_NAME(zlanhe)(const char* norm,  const char* uplo, int *n, Rcomplex *a,
+		 int *lda, double *work FCLEN FCLEN);
+
+La_extern double
+F77_NAME(zlanhs)(const char* norm, int *n, Rcomplex *a, int *lda, 
+		 double *work FCLEN);
+
+
+La_extern void
+F77_NAME(zlaqp2)(int *m, int *n, int *offset,
+	Rcomplex *a, int *lda, int *jpvt, Rcomplex *tau,
+	double *vn1, double *vn2, Rcomplex *work);
+
+La_extern void
+F77_NAME(zlaqps)(int *m, int *n, int *offset, int
+	*nb, int *kb, Rcomplex *a, int *lda, int *jpvt,
+	Rcomplex *tau, double *vn1, double *vn2, Rcomplex *
+	auxv, Rcomplex *f, int *ldf);
+
+La_extern void
+F77_NAME(zlarf)(const char* side, int *m, int *n, Rcomplex
+	*v, int *incv, Rcomplex *tau, Rcomplex *c, int *
+		ldc, Rcomplex *work FCLEN);
+
+La_extern void
+F77_NAME(zlarfb)(const char* side, const char* trans, 
+		 const char* direct, const char*  storev,
+		 int *m, int *n, int *k, Rcomplex *v, int *ldv,
+		 Rcomplex *t, int *ldt, Rcomplex *c, int *
+		 ldc, Rcomplex *work, int *ldwork
+		 FCLEN FCLEN FCLEN FCLEN);
+
+La_extern void
+F77_NAME(zlarfg)(int *n, Rcomplex *alpha, Rcomplex *
+	x, int *incx, Rcomplex *tau);
+
+La_extern void
+F77_NAME(zlarft)(const char* direct, const char* storev, int *n, int *
+		 k, Rcomplex *v, int *ldv, Rcomplex *tau, Rcomplex *
+		 t, int *ldt FCLEN FCLEN);
+
+La_extern void
+F77_NAME(zlarfx)(const char* side, int *m, int *n,
+	Rcomplex *v, Rcomplex *tau, Rcomplex *c, int *
+		 ldc, Rcomplex *work FCLEN);
+
+La_extern void
+F77_NAME(zlascl)(const char* type, int *kl, int *ku,
+	double *cfrom, double *cto, int *m, int *n,
+		 Rcomplex *a, int *lda, int *info FCLEN);
+
+La_extern void
+F77_NAME(zlaset)(const char* uplo, int *m, int *n,
+	Rcomplex *alpha, Rcomplex *beta, Rcomplex *a, int *
+		 lda FCLEN);
+
+La_extern void
+F77_NAME(zlasr)(const char* side, const char* pivot, const char* direct,
+		int *m, int *n, double *c, double *s, Rcomplex *a, int *lda
+		FCLEN FCLEN FCLEN);
+
+La_extern void
+F77_NAME(zlassq)(int *n, Rcomplex *x, int *incx,
+	double *scale, double *sumsq);
+
+La_extern void
+F77_NAME(zlaswp)(int *n, Rcomplex *a, int *lda,
+	int *k1, int *k2, int *ipiv, int *incx);
+
+La_extern void
+F77_NAME(zlatrd)(const char* uplo, int *n, int *nb,
+	Rcomplex *a, int *lda, double *e, Rcomplex *tau,
+		 Rcomplex *w, int *ldw FCLEN);
+
+La_extern void
+F77_NAME(zlatrs)(const char* uplo, const char* trans, 
+		 const char* diag, const char*  normin,
+		 int *n, Rcomplex *a, int *lda, Rcomplex *x,
+		 double *scale, double *cnorm, int *info
+		 FCLEN FCLEN FCLEN FCLEN);
+
+La_extern void
+F77_NAME(zsteqr)(const char* compz, int *n, double *d,
+	double *e, Rcomplex *z, int *ldz, double *work,
+		 int *info FCLEN);
+
+/* ZTRCON estimates the reciprocal of the condition number of a
+ * triangular matrix A, in either the 1-norm or the infinity-norm.
+ */
+La_extern void
+F77_NAME(ztrcon)(const char* norm, const char* uplo, const char* diag,
+                 const int *n, const Rcomplex *a, const int *lda,
+		 double *rcond, Rcomplex *work, double *rwork, int *info
+		 FCLEN FCLEN FCLEN);
+
+La_extern void
+F77_NAME(ztrevc)(const char* side, const char* howmny, int *select,
+	int *n, Rcomplex *t, int *ldt, Rcomplex *vl,
+	int *ldvl, Rcomplex *vr, int *ldvr, int *mm, int
+		 *m, Rcomplex *work, double *rwork, int *info
+		 FCLEN FCLEN);
+
+La_extern void
+F77_NAME(zung2l)(int *m, int *n, int *k,
+	Rcomplex *a, int *lda, Rcomplex *tau, Rcomplex *
+	work, int *info);
+
+La_extern void
+F77_NAME(zung2r)(int *m, int *n, int *k,
+	Rcomplex *a, int *lda, Rcomplex *tau, Rcomplex *
+	work, int *info);
+
+La_extern void
+F77_NAME(zungbr)(const char* vect, int *m, int *n, int *k,
+	Rcomplex *a, int *lda, Rcomplex *tau, Rcomplex *
+		 work, int *lwork, int *info FCLEN);
+
+La_extern void
+F77_NAME(zunghr)(int *n, int *ilo, int *ihi,
+	Rcomplex *a, int *lda, Rcomplex *tau, Rcomplex *
+	work, int *lwork, int *info);
+
+La_extern void
+F77_NAME(zungl2)(int *m, int *n, int *k,
+	Rcomplex *a, int *lda, Rcomplex *tau, Rcomplex *
+	work, int *info);
+
+La_extern void
+F77_NAME(zunglq)(int *m, int *n, int *k,
+	Rcomplex *a, int *lda, Rcomplex *tau, Rcomplex *
+	work, int *lwork, int *info);
+
+La_extern void
+F77_NAME(zungql)(int *m, int *n, int *k,
+	Rcomplex *a, int *lda, Rcomplex *tau, Rcomplex *
+	work, int *lwork, int *info);
+
+La_extern void
+F77_NAME(zungqr)(int *m, int *n, int *k,
+	Rcomplex *a, int *lda, Rcomplex *tau, Rcomplex *
+	work, int *lwork, int *info);
+
+La_extern void
+F77_NAME(zungr2)(int *m, int *n, int *k,
+	Rcomplex *a, int *lda, Rcomplex *tau, Rcomplex *
+	work, int *info);
+
+La_extern void
+F77_NAME(zungrq)(int *m, int *n, int *k,
+	Rcomplex *a, int *lda, Rcomplex *tau, Rcomplex *
+	work, int *lwork, int *info);
+
+La_extern void
+F77_NAME(zungtr)(const char* uplo, int *n, Rcomplex *a,
+	int *lda, Rcomplex *tau, Rcomplex *work, int *lwork,
+		 int *info FCLEN);
+
+La_extern void
+F77_NAME(zunm2r)(const char* side, const char* trans, int *m, int *n,
+		 int *k, Rcomplex *a, int *lda, Rcomplex *tau,
+		 Rcomplex *c, int *ldc, Rcomplex *work, int *info
+		 FCLEN FCLEN);
+
+La_extern void
+F77_NAME(zunmbr)(const char* vect, const char* side, const char* trans, int *m,
+	int *n, int *k, Rcomplex *a, int *lda, Rcomplex
+	*tau, Rcomplex *c, int *ldc, Rcomplex *work, int *
+		 lwork, int *info FCLEN FCLEN FCLEN);
+
+La_extern void
+F77_NAME(zunml2)(const char* side, const char* trans, int *m, int *n,
+	int *k, Rcomplex *a, int *lda, Rcomplex *tau,
+		 Rcomplex *c, int *ldc, Rcomplex *work, int *info
+		 FCLEN FCLEN);
+
+La_extern void
+F77_NAME(zunmlq)(const char* side, const char* trans, int *m, int *n,
+	int *k, Rcomplex *a, int *lda, Rcomplex *tau,
+	Rcomplex *c, int *ldc, Rcomplex *work, int *lwork,
+		 int *info FCLEN FCLEN);
+
+/* Added in R 3.1.0 */
+/* ZGESVD - compute the singular value decomposition (SVD); of a   */
+/* real M-by-N matrix A, optionally computing the left and/or	   */
+/* right singular vectors					   */
+La_extern void
+F77_NAME(zgesdd)(const char* jobz,
+		 const int *m, const int *n,
+		 Rcomplex *a, const int *lda, double *s,
+		 Rcomplex *u, const int *ldu,
+		 Rcomplex *vt, const int *ldvt,
+		 Rcomplex *work, const int *lwork, double *rwork,
+		 int *iwork, int *info FCLEN);
+La_extern void
+F77_NAME(zgelsd)(int *m, int *n, int *nrhs,
+	Rcomplex *a, int *lda, Rcomplex *b, int *ldb, double *s,
+        double *rcond, int *rank, 
+        Rcomplex *work, int *lwork, double *rwork, int *iwork, int *info);
+
+/* =========================== DEPRECATED ==============================
+
+   Routines below were deprecated in LAPACK 3.6.0, and are not
+   included in a default build of LAPACK.
+
+   Currently dgegv, dgeqpf, dggsvd and dggsvp are included in R, but
+   that may change in future.
+ */
+
+/* DGEGV - compute for a pair of n-by-n real nonsymmetric */
+/* matrices A and B, the generalized eigenvalues (alphar +/- */
+/* alphai*i, beta);, and optionally, the left and/or right */
+/* generalized eigenvectors (VL and VR); */
+La_extern void
+F77_NAME(dgegv)(const char* jobvl, const char* jobvr,
+		const int* n, double* a, const int* lda,
+		double* b, const int* ldb,
+		double* alphar, double* alphai,
+		const double* beta, double* vl, const int* ldvl,
+		double* vr, const int* ldvr,
+		double* work, const int* lwork, int* info FCLEN FCLEN);
+
+/* DGEQPF - compute a QR factorization with column pivoting of a */
+/* real M-by-N matrix A */
+La_extern void
+F77_NAME(dgeqpf)(const int* m, const int* n, double* a, const int* lda,
+		 int* jpvt, double* tau, double* work, int* info);
+
+/* DGGSVD - compute the generalized singular value decomposition */
+/* (GSVD) of an M-by-N real matrix A and P-by-N real matrix B */
+La_extern void
+F77_NAME(dggsvd)(const char* jobu, const char* jobv, const char* jobq,
+		 const int* m, const int* n, const int* p,
+		 const int* k, const int* l,
+		 double* a, const int* lda,
+		 double* b, const int* ldb,
+		 const double* alpha, const double* beta,
+		 double* u, const int* ldu,
+		 double* v, const int* ldv,
+		 double* q, const int* ldq,
+		 double* work, int* iwork, int* info
+		 FCLEN FCLEN FCLEN);
+
+/* DTZRQF - reduce the M-by-N ( M<=N ); real upper trapezoidal */
+/* matrix A to upper triangular form by means of orthogonal */
+/* transformations  */
+La_extern void
+F77_NAME(dtzrqf)(const int* m, const int* n,
+		 double* a, const int* lda,
+		 double* tau, int* info);
+
+/* DLAHRD - reduce the first NB columns of a real general */
+/* n-by-(n-k+1); matrix A so that elements below the k-th */
+/* subdiagonal are zero */
+La_extern void
+F77_NAME(dlahrd)(const int* n, const int* k, const int* nb,
+		 double* a, const int* lda,
+		 double* tau, double* t, const int* ldt,
+		 double* y, const int* ldy);
+
+/* DLATZM - apply a Householder matrix generated by DTZRQF to a */
+/* matrix */
+La_extern void
+F77_NAME(dlatzm)(const char* side, const int* m, const int* n,
+		 const double* v, const int* incv,
+		 const double* tau, double* c1, double* c2,
+		 const int* ldc, double* work FCLEN);
+
+La_extern void
+F77_NAME(dgegs)(const char* jobvsl, const char* jobvsr, int *n,
+	double *a, int *lda, double *b, int *ldb, double *
+	alphar, double *alphai, double *beta, double *vsl,
+	int *ldvsl, double *vsr, int *ldvsr, double *work,
+		int *lwork, int *info FCLEN FCLEN);
+
+La_extern void
+F77_NAME(dgelsx)(int *m, int *n, int *nrhs,
+	double *a, int *lda, double *b, int *ldb, int *
+	jpvt, double *rcond, int *rank, double *work, int *
+	info);
+
+La_extern void
+F77_NAME(dggsvp)(const char* jobu, const char* jobv, const char* jobq, int *m,
+	int *p, int *n, double *a, int *lda, double *b,
+	int *ldb, double *tola, double *tolb, int *k, int
+	*l, double *u, int *ldu, double *v, int *ldv,
+	double *q, int *ldq, int *iwork, double *tau,
+		 double *work, int *info FCLEN FCLEN FCLEN);
+
+La_extern void
+F77_NAME(zlahrd)(int *n, int *k, int *nb,
+		 Rcomplex *a, int *lda, Rcomplex *tau, Rcomplex *t,
+		 int *ldt, Rcomplex *y, int *ldy);
+
+
+#ifdef	__cplusplus
+}
+#endif
+
+#endif /* R_LAPACK_H */
+
+// Local variables: ***
+// mode: outline-minor ***
+// outline-regexp: "^\^L\\|^//[*]+" ***
+// End: ***
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/include/R_ext/Print.h
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/include/R_ext/Print.h	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/include/R_ext/Print.h	(revision 3761)
@@ -0,0 +1,56 @@
+/*
+ *  R : A Computer Language for Statistical Data Analysis
+ *  Copyright (C) 1998-2019    The R Core Team
+ *
+ *  This header file is free software; you can redistribute it and/or modify
+ *  it under the terms of the GNU Lesser General Public License as published by
+ *  the Free Software Foundation; either version 2.1 of the License, or
+ *  (at your option) any later version.
+ *
+ *  This file is part of R. R is distributed under the terms of the
+ *  GNU General Public License, either Version 2, June 1991 or Version 3,
+ *  June 2007. See doc/COPYRIGHTS for details of the copyright status of R.
+ *
+ *  This program is distributed in the hope that it will be useful,
+ *  but WITHOUT ANY WARRANTY; without even the implied warranty of
+ *  MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
+ *  GNU Lesser General Public License for more details.
+ *
+ *  You should have received a copy of the GNU Lesser General Public License
+ *  along with this program; if not, a copy is available at
+ *  https://www.R-project.org/Licenses/
+ */
+
+/* Included by R.h: API */
+
+#ifndef R_EXT_PRINT_H_
+#define R_EXT_PRINT_H_
+
+#ifdef  __cplusplus
+/* If the vprintf interface is defined at all in C++ it may only be
+   defined in namespace std.  It is part of the C++11 standard. */
+# if __cplusplus >= 201103L && !defined(R_USE_C99_IN_CXX)
+#  define R_USE_C99_IN_CXX
+# endif
+# ifdef R_USE_C99_IN_CXX
+#  include <cstdarg>
+#  define R_VA_LIST std::va_list
+# endif
+extern "C" {
+#else
+# include <stdarg.h>
+# define R_VA_LIST va_list
+#endif
+
+void Rprintf(const char *, ...);
+void REprintf(const char *, ...);
+#if !defined(__cplusplus) || defined R_USE_C99_IN_CXX
+void Rvprintf(const char *, R_VA_LIST);
+void REvprintf(const char *, R_VA_LIST);
+#endif
+
+#ifdef  __cplusplus
+}
+#endif
+
+#endif /* R_EXT_PRINT_H_ */
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/include/R_ext/libextern.h
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/include/R_ext/libextern.h	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/include/R_ext/libextern.h	(revision 3761)
@@ -0,0 +1,52 @@
+/*
+ *  R : A Computer Language for Statistical Data Analysis
+ *  Copyright (C) 2001, 2004  The R Core Team.
+ *
+ *  This header file is free software; you can redistribute it and/or modify
+ *  it under the terms of the GNU Lesser General Public License as published by
+ *  the Free Software Foundation; either version 2.1 of the License, or
+ *  (at your option) any later version.
+ *
+ *  This file is part of R. R is distributed under the terms of the
+ *  GNU General Public License, either Version 2, June 1991 or Version 3,
+ *  June 2007. See doc/COPYRIGHTS for details of the copyright status of R.
+ *
+ *  This program is distributed in the hope that it will be useful,
+ *  but WITHOUT ANY WARRANTY; without even the implied warranty of
+ *  MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
+ *  GNU Lesser General Public License for more details.
+ *
+ *  You should have received a copy of the GNU Lesser General Public License
+ *  along with this program; if not, a copy is available at
+ *  https://www.R-project.org/Licenses/
+ */
+
+/* Included by R.h: API on Windows */
+
+/* don't disallow including this one more than once */
+
+/* This is intended to be called from other header files, so not callable
+   from C++ */
+
+#undef LibExtern
+#undef LibImport
+#undef LibExport
+
+/* Don't try to include CYGWIN here: decorating some symbols breaks
+   the auto-export that it relies on, even if R_DLL_BUILD were set. */
+#ifdef _WIN32 /* _WIN32 as does not depend on config.h */
+#define LibImport __declspec(dllimport)
+#define LibExport __declspec(dllexport)
+#else
+#define LibImport
+#define LibExport
+#endif
+
+#ifdef __MAIN__
+#define LibExtern LibExport
+#define extern
+#elif defined(R_DLL_BUILD)
+#define LibExtern extern
+#else
+#define LibExtern extern LibImport
+#endif
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/include/R_ext/Riconv.h
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/include/R_ext/Riconv.h	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/include/R_ext/Riconv.h	(revision 3761)
@@ -0,0 +1,50 @@
+/*
+ *  R : A Computer Language for Statistical Data Analysis
+ *  Copyright (C) 2005     the R Core Team
+ *
+ *  This header file is free software; you can redistribute it and/or modify
+ *  it under the terms of the GNU Lesser General Public License as published by
+ *  the Free Software Foundation; either version 2.1 of the License, or
+ *  (at your option) any later version.
+ *
+ *  This file is part of R. R is distributed under the terms of the
+ *  GNU General Public License, either Version 2, June 1991 or Version 3,
+ *  June 2007. See doc/COPYRIGHTS for details of the copyright status of R.
+ *
+ *  This program is distributed in the hope that it will be useful,
+ *  but WITHOUT ANY WARRANTY; without even the implied warranty of
+ *  MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
+ *  GNU Lesser General Public License for more details.
+ *
+ *  You should have received a copy of the GNU Lesser General Public License
+ *  along with this program; if not, a copy is available at
+ *  https://www.R-project.org/Licenses/
+ */
+
+/*
+  Interface to R's platform-independent implementation of iconv.
+
+  Part of the API.
+*/
+
+#ifndef R_ICONV_H
+#define R_ICONV_H
+
+#ifdef  __cplusplus
+extern "C" {
+#endif
+
+/* from sysutils.c */
+#undef Riconv_open
+#undef Riconv
+#undef Riconv_close
+void * Riconv_open (const char* tocode, const char* fromcode);
+size_t Riconv (void * cd, const char **inbuf, size_t *inbytesleft,
+	       char  **outbuf, size_t *outbytesleft);
+int Riconv_close (void * cd);
+
+#ifdef  __cplusplus
+}
+#endif
+
+#endif /* R_ICONV_H */
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/include/R_ext/Utils.h
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/include/R_ext/Utils.h	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/include/R_ext/Utils.h	(revision 3761)
@@ -0,0 +1,127 @@
+/*
+ *  R : A Computer Language for Statistical Data Analysis
+ *  Copyright (C) 1998-2019    The R Core Team
+ *
+ *  This header file is free software; you can redistribute it and/or modify
+ *  it under the terms of the GNU Lesser General Public License as published by
+ *  the Free Software Foundation; either version 2.1 of the License, or
+ *  (at your option) any later version.
+
+ *  This file is part of R. R is distributed under the terms of the
+ *  GNU General Public License, either Version 2, June 1991 or Version 3,
+ *  June 2007. See doc/COPYRIGHTS for details of the copyright status of R.
+ *
+ *  This program is distributed in the hope that it will be useful,
+ *  but WITHOUT ANY WARRANTY; without even the implied warranty of
+ *  MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
+ *  GNU Lesser General Public License for more details.
+ *
+ *  You should have received a copy of the GNU Lesser General Public License
+ *  along with this program; if not, a copy is available at
+ *  https://www.R-project.org/Licenses/
+ *
+ *
+ * Generally useful  UTILITIES  *NOT* relying on R internals (from Defn.h)
+ */
+
+/* Included by R.h: API */
+
+#ifndef R_EXT_UTILS_H_
+#define R_EXT_UTILS_H_
+
+#include <R_ext/Boolean.h>
+#include <R_ext/Complex.h>
+
+#if defined(__cplusplus) && !defined(DO_NOT_USE_CXX_HEADERS)
+# include <cstddef>
+# define R_SIZE_T std::size_t
+#else
+# include <stddef.h>
+# define R_SIZE_T size_t
+#endif
+
+#define revsort       Rf_revsort
+#define iPsort        Rf_iPsort
+#define rPsort        Rf_rPsort
+#define cPsort        Rf_cPsort
+#define IndexWidth    Rf_IndexWidth
+#define setIVector    Rf_setIVector
+#define setRVector    Rf_setRVector
+#define StringFalse   Rf_StringFalse
+#define StringTrue    Rf_StringTrue
+#define isBlankString Rf_isBlankString
+
+#ifdef  __cplusplus
+extern "C" {
+#endif
+
+/* ../../main/sort.c : */
+void	R_isort(int*, int);
+void	R_rsort(double*, int);
+void	R_csort(Rcomplex*, int);
+void    rsort_with_index(double *, int *, int);
+void	revsort(double*, int*, int);/* reverse; sort i[] alongside */
+void	iPsort(int*,    int, int);
+void	rPsort(double*, int, int);
+void	cPsort(Rcomplex*, int, int);
+
+/* ../../main/qsort.c : */
+/* dummy renamed to II to avoid problems with g++ on Solaris */
+void R_qsort    (double *v,         R_SIZE_T i, R_SIZE_T j);
+void R_qsort_I  (double *v, int *II, int i, int j);
+void R_qsort_int  (int *iv,         R_SIZE_T i, R_SIZE_T j);
+void R_qsort_int_I(int *iv, int *II, int i, int j);
+#ifdef R_RS_H
+void F77_NAME(qsort4)(double *v, int *indx, int *ii, int *jj);
+void F77_NAME(qsort3)(double *v,            int *ii, int *jj);
+#endif
+
+/* ../../main/util.c  and others : */
+const char *R_ExpandFileName(const char *);
+#ifdef Win32
+const char *R_ExpandFileNameUTF8(const char *);
+#endif
+void	setIVector(int*, int, int);
+void	setRVector(double*, int, double);
+Rboolean StringFalse(const char *);
+Rboolean StringTrue(const char *);
+Rboolean isBlankString(const char *);
+
+/* These two are guaranteed to use '.' as the decimal point,
+   and to accept "NA".
+ */
+double R_atof(const char *str);
+double R_strtod(const char *c, char **end);
+
+char *R_tmpnam(const char *prefix, const char *tempdir);
+char *R_tmpnam2(const char *prefix, const char *tempdir, const char *fileext);
+void R_free_tmpnam(char *name);
+
+void R_CheckUserInterrupt(void);
+void R_CheckStack(void);
+void R_CheckStack2(R_SIZE_T);
+
+
+/* ../../appl/interv.c: also in Applic.h */
+int findInterval(double *xt, int n, double x,
+		 Rboolean rightmost_closed,  Rboolean all_inside, int ilo,
+		 int *mflag);
+int findInterval2(double *xt, int n, double x,
+		  Rboolean rightmost_closed,  Rboolean all_inside, Rboolean left_open,
+		  int ilo, int *mflag);
+#ifdef R_RS_H
+int F77_SUB(interv)(double *xt, int *n, double *x,
+		    Rboolean *rightmost_closed, Rboolean *all_inside,
+		    int *ilo, int *mflag);
+#endif
+void find_interv_vec(double *xt, int *n,	double *x,   int *nx,
+		     int *rightmost_closed, int *all_inside, int *indx);
+
+/* ../../appl/maxcol.c: also in Applic.h */
+void R_max_col(double *matrix, int *nr, int *nc, int *maxes, int *ties_meth);
+
+#ifdef  __cplusplus
+}
+#endif
+
+#endif /* R_EXT_UTILS_H_ */
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/include/R_ext/PrtUtil.h
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/include/R_ext/PrtUtil.h	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/include/R_ext/PrtUtil.h	(revision 3761)
@@ -0,0 +1,90 @@
+/*
+ *  R : A Computer Language for Statistical Data Analysis
+ *  Copyright (C) 1998-2014    The R Core Team
+ *
+ *  This header file is free software; you can redistribute it and/or modify
+ *  it under the terms of the GNU Lesser General Public License as published by
+ *  the Free Software Foundation; either version 2.1 of the License, or
+ *  (at your option) any later version.
+ *
+ *  This file is part of R. R is distributed under the terms of the
+ *  GNU General Public License, either Version 2, June 1991 or Version 3,
+ *  June 2007. See doc/COPYRIGHTS for details of the copyright status of R.
+ *
+ *  This program is distributed in the hope that it will be useful,
+ *  but WITHOUT ANY WARRANTY; without even the implied warranty of
+ *  MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
+ *  GNU Lesser General Public License for more details.
+ *
+ *  You should have received a copy of the GNU Lesser General Public License
+ *  along with this program; if not, a copy is available at
+ *  https://www.R-project.org/Licenses/
+ */
+
+/*
+ *  These functions are not part of the API.
+ */
+#ifndef PRTUTIL_H_
+#define PRTUTIL_H_
+
+#include <Rinternals.h> // for R_xlen_t
+#include <R_ext/Complex.h>
+
+// for backcompatibility but not to stay (MM) :
+#define formatComplex_USING_signif
+
+#define formatLogical      Rf_formatLogical
+#define formatInteger      Rf_formatInteger
+#define formatReal         Rf_formatReal
+#define formatComplex      Rf_formatComplex
+#define EncodeLogical      Rf_EncodeLogical
+#define EncodeInteger      Rf_EncodeInteger
+#define EncodeReal         Rf_EncodeReal
+#define EncodeReal0        Rf_EncodeReal0
+#define EncodeComplex      Rf_EncodeComplex
+#define VectorIndex        Rf_VectorIndex
+#define printIntegerVector Rf_printIntegerVector
+#define printRealVector    Rf_printRealVector
+#define printComplexVector Rf_printComplexVector
+
+#ifdef  __cplusplus
+extern "C" {
+#endif
+
+/* Computation of printing formats */
+void formatLogical(const int *, R_xlen_t, int *);
+void formatInteger(const int *, R_xlen_t, int *);
+void formatReal(const double *, R_xlen_t, int *, int *, int *, int);
+void formatComplex(const Rcomplex *, R_xlen_t, int *, int *, int *, int *, int *, int *, int);
+void formatLogicalS(SEXP, R_xlen_t, int *);
+void formatIntegerS(SEXP, R_xlen_t, int *);
+void formatRealS(SEXP, R_xlen_t, int *, int *, int *, int);
+void formatComplexS(SEXP, R_xlen_t, int *, int *, int *, int *, int *, int *, int);
+
+/* Formating of values */
+const char *EncodeLogical(int, int);
+const char *EncodeInteger(int, int);
+const char *EncodeReal0(double, int, int, int, const char *);
+const char *EncodeComplex(Rcomplex, int, int, int, int, int, int, const char *);
+
+/* Legacy, misused by packages RGtk2 and qtbase */
+const char *EncodeReal(double, int, int, int, char);
+
+
+/* Printing */
+int	IndexWidth(R_xlen_t);
+void VectorIndex(R_xlen_t, int);
+
+//void printLogicalVector(int *, R_xlen_t, int);
+void printIntegerVector(const int *, R_xlen_t, int);
+void printRealVector   (const double *, R_xlen_t, int);
+void printComplexVector(const Rcomplex *, R_xlen_t, int);
+void printIntegerVectorS(SEXP, R_xlen_t, int);
+void printRealVectorS   (SEXP, R_xlen_t, int);
+void printComplexVectorS(SEXP, R_xlen_t, int);
+
+#ifdef  __cplusplus
+}
+#endif
+
+#endif /* PRTUTIL_H_ */
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/include/R_ext/MathThreads.h
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/include/R_ext/MathThreads.h	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/include/R_ext/MathThreads.h	(revision 3761)
@@ -0,0 +1,49 @@
+/*
+ *  R : A Computer Language for Statistical Data Analysis
+ *  Copyright (C) 2000-2014 The R Core Team.
+ *
+ *  This header file is free software; you can redistribute it and/or modify
+ *  it under the terms of the GNU Lesser General Public License as published by
+ *  the Free Software Foundation; either version 2.1 of the License, or
+ *  (at your option) any later version.
+ *
+ *  This file is part of R. R is distributed under the terms of the
+ *  GNU General Public License, either Version 2, June 1991 or Version 3,
+ *  June 2007. See doc/COPYRIGHTS for details of the copyright status of R.
+ *
+ *  This program is distributed in the hope that it will be useful,
+ *  but WITHOUT ANY WARRANTY; without even the implied warranty of
+ *  MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
+ *  GNU Lesser General Public License for more details.
+ *
+ *  You should have received a copy of the GNU Lesser General Public License
+ *  along with this program; if not, a copy is available at
+ *  https://www.R-project.org/Licenses/
+ */
+
+/*
+  Experimental: included by src/library/stats/src/distance.c
+
+  Note that only uses R_num_math_threads: it is not clear
+  R_num_math_threads should be exposed at all.
+
+  This is not used currently on Windows, where R_num_math_threads
+  used not to be exposed.
+*/
+
+#ifndef R_EXT_MATHTHREADS_H_
+#define R_EXT_MATHTHREADS_H_
+
+#ifdef  __cplusplus
+extern "C" {
+#endif
+
+#include <R_ext/libextern.h>
+LibExtern int R_num_math_threads;
+LibExtern int R_max_num_math_threads;
+
+#ifdef  __cplusplus
+}
+#endif
+
+#endif /* R_EXT_MATHTHREADS_H_ */
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/later/R/later.rdx
===================================================================
Cannot display: file marked as a binary type.
svn:mime-type = application/octet-stream

Property changes on: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/later/R/later.rdx
___________________________________________________________________
Added: svn:mime-type
   + application/octet-stream

Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/later/R/later
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/later/R/later	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/later/R/later	(revision 3761)
@@ -0,0 +1,27 @@
+#  File share/R/nspackloader.R
+#  Part of the R package, https://www.R-project.org
+#
+#  Copyright (C) 1995-2012 The R Core Team
+#
+#  This program is free software; you can redistribute it and/or modify
+#  it under the terms of the GNU General Public License as published by
+#  the Free Software Foundation; either version 2 of the License, or
+#  (at your option) any later version.
+#
+#  This program is distributed in the hope that it will be useful,
+#  but WITHOUT ANY WARRANTY; without even the implied warranty of
+#  MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
+#  GNU General Public License for more details.
+#
+#  A copy of the GNU General Public License is available at
+#  https://www.r-project.org/Licenses/
+
+local({
+    info <- loadingNamespaceInfo()
+    pkg <- info$pkgname
+    ns <- .getNamespace(as.name(pkg))
+    if (is.null(ns))
+        stop("cannot find namespace environment for ", pkg, domain = NA);
+    dbbase <- file.path(info$libname, pkg, "R", pkg)
+    lazyLoad(dbbase, ns, filter = function(n) n != ".__NAMESPACE__.")
+})
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/later/R/later.rdb
===================================================================
Cannot display: file marked as a binary type.
svn:mime-type = application/octet-stream

Property changes on: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/later/R/later.rdb
___________________________________________________________________
Added: svn:mime-type
   + application/octet-stream

Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/later/html/R.css
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/later/html/R.css	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/later/html/R.css	(revision 3761)
@@ -0,0 +1,120 @@
+@media screen {
+    .container {
+	padding-right: 10px;
+	padding-left: 10px;
+	margin-right: auto;
+	margin-left: auto;
+	max-width: 900px;
+    }
+}
+
+.rimage img { /* from knitr - for examples and demos */
+    width: 96%;
+    margin-left: 2%;
+} 	
+
+.katex { font-size: 1.1em; }
+
+code {
+    color: inherit;
+    background: inherit;
+}
+
+body {
+    line-height: 1.4;
+    background: white;
+    color: black;
+}
+
+a:link {
+    background: white;
+    color: blue;
+}
+
+a:visited {
+    background: white;
+    color: rgb(50%, 0%, 50%);
+}
+
+h1 {
+    background: white;
+    color: rgb(55%, 55%, 55%);
+    font-family: monospace;
+    font-size: 1.4em; /* x-large; */
+    text-align: center;
+}
+
+h2 {
+    background: white;
+    color: rgb(40%, 40%, 40%);
+    font-family: monospace;
+    font-size: 1.2em; /* large; */
+    text-align: center;
+}
+
+h3 {
+    background: white;
+    color: rgb(40%, 40%, 40%);
+    font-family: monospace;
+    font-size: 1.2em; /* large; */
+}
+
+h4 {
+    background: white;
+    color: rgb(40%, 40%, 40%);
+    font-family: monospace;
+    font-style: italic;
+    font-size: 1.2em; /* large; */
+}
+
+h5 {
+    background: white;
+    color: rgb(40%, 40%, 40%);
+    font-family: monospace;
+}
+
+h6 {
+    background: white;
+    color: rgb(40%, 40%, 40%);
+    font-family: monospace;
+    font-style: italic;
+}
+
+img.toplogo {
+    width: 4em;
+    vertical-align: middle;
+}
+
+img.arrow {
+    width: 30px;
+    height: 30px;
+    border: 0;
+}
+
+span.acronym {
+    font-size: small;
+}
+
+span.env {
+    font-family: monospace;
+}
+
+span.file {
+    font-family: monospace;
+}
+
+span.option{
+    font-family: monospace;
+}
+
+span.pkg {
+    font-weight: bold;
+}
+
+span.samp{
+    font-family: monospace;
+}
+
+div.vignettes a:hover {
+    background: rgb(85%, 85%, 85%);
+}

Property changes on: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/later/html/R.css
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   + text/plain

Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/later/html/00Index.html
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/later/html/00Index.html	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/later/html/00Index.html	(revision 3761)
@@ -0,0 +1,48 @@
+<!DOCTYPE html>
+<html>
+<head><title>R: Utilities for Scheduling Functions to Execute Later with Event
+Loops</title>
+<meta http-equiv="Content-Type" content="text/html; charset=utf-8" />
+<meta name="viewport" content="width=device-width, initial-scale=1.0, user-scalable=yes" />
+<link rel="stylesheet" type="text/css" href="R.css" />
+</head><body><div class="container">
+<h1> Utilities for Scheduling Functions to Execute Later with Event
+Loops
+<img class="toplogo" src="../../../doc/html/Rlogo.svg" alt="[R logo]" />
+</h1>
+<hr/>
+<div style="text-align: center;">
+<a href="../../../doc/html/packages.html"><img class="arrow" src="../../../doc/html/left.jpg" alt="[Up]" /></a>
+<a href="../../../doc/html/index.html"><img class="arrow" src="../../../doc/html/up.jpg" alt="[Top]" /></a>
+</div><h2>Documentation for package &lsquo;later&rsquo; version 1.3.0</h2>
+
+<ul><li><a href="../DESCRIPTION">DESCRIPTION file</a>.</li>
+<li><a href="../doc/index.html">User guides, package vignettes and other documentation.</a></li>
+</ul>
+
+<h2>Help Pages</h2>
+
+
+<table style="width: 100%;">
+<tr><td style="width: 25%;"><a href="create_loop.html">create_loop</a></td>
+<td>Private event loops</td></tr>
+<tr><td style="width: 25%;"><a href="create_loop.html">current_loop</a></td>
+<td>Private event loops</td></tr>
+<tr><td style="width: 25%;"><a href="create_loop.html">destroy_loop</a></td>
+<td>Private event loops</td></tr>
+<tr><td style="width: 25%;"><a href="create_loop.html">exists_loop</a></td>
+<td>Private event loops</td></tr>
+<tr><td style="width: 25%;"><a href="create_loop.html">global_loop</a></td>
+<td>Private event loops</td></tr>
+<tr><td style="width: 25%;"><a href="later.html">later</a></td>
+<td>Executes a function later</td></tr>
+<tr><td style="width: 25%;"><a href="next_op_secs.html">next_op_secs</a></td>
+<td>Relative time to next scheduled operation</td></tr>
+<tr><td style="width: 25%;"><a href="run_now.html">run_now</a></td>
+<td>Execute scheduled operations</td></tr>
+<tr><td style="width: 25%;"><a href="create_loop.html">with_loop</a></td>
+<td>Private event loops</td></tr>
+<tr><td style="width: 25%;"><a href="create_loop.html">with_temp_loop</a></td>
+<td>Private event loops</td></tr>
+</table>
+</div></body></html>

Property changes on: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/later/html/00Index.html
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Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/later/doc/later-cpp.Rmd
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/later/doc/later-cpp.Rmd	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/later/doc/later-cpp.Rmd	(revision 3761)
@@ -0,0 +1,112 @@
+---
+title: "Using later from C++"
+author: "Joe Cheng"
+date: "`r Sys.Date()`"
+output: rmarkdown::html_vignette
+vignette: >
+  %\VignetteIndexEntry{Using later from C++}
+  %\VignetteEngine{knitr::rmarkdown}
+  %\VignetteEncoding{UTF-8}
+---
+
+# Using later from C++
+
+You can call `later::later` from C++ code in your own packages, to cause your own C-style functions to be called back. This is safe to call from either the main R thread or a different thread; in both cases, your callback will be invoked from the main R thread.
+
+To use the C++ interface, you'll need to:
+
+* Add `later` to your `DESCRIPTION` file, under both `LinkingTo` and `Imports`
+* Make sure that your `NAMESPACE` file has an `import(later)` entry. If your package uses roxygen2, you can do this by adding the following lines to any file under `R/`:
+```
+#' @import later
+NULL
+```
+* Add `#include <later_api.h>` to the top of each C++ file that uses the below APIs.
+
+## Executing a C function later
+
+The `later::later` function is accessible from `later_api.h` and its prototype looks like this:
+
+```cpp
+void later(void (*func)(void*), void* data, double secs)
+```
+
+The first argument is a pointer to a function that takes one `void*` argument and returns void. The second argument is a `void*` that will be passed to the function when it's called back. And the third argument is the number of seconds to wait (at a minimum) before invoking. In all cases, the function will be invoked on the R thread, when no user R code is executing.
+
+## Background tasks
+
+This package also offers a higher-level C++ helper class called `later::BackgroundTask`, to make it easier to execute tasks on a background thread. It takes care of launching the background thread for you, and returning control back to the R thread at a later point; you're responsible for providing the actual code that executes on the background thread, as well as code that executes on the R thread before and after the background task completes.
+
+Its public/protected interface looks like this:
+
+```cpp
+class BackgroundTask {
+
+public:
+  BackgroundTask();
+  virtual ~BackgroundTask();
+
+  // Start executing the task  
+  void begin();
+
+protected:
+  // The task to be executed on the background thread.
+  // Neither the R runtime nor any R data structures may be
+  // touched from the background thread; any values that need
+  // to be passed into or out of the Execute method must be
+  // included as fields on the Task subclass object.
+  virtual void execute() = 0;
+  
+  // A short task that runs on the main R thread after the
+  // background task has completed. It's safe to access the
+  // R runtime and R data structures from here.
+  virtual void complete() = 0;
+}
+```
+
+Create your own subclass, implementing a custom constructor plus the `execute` and `complete` methods.
+
+It's critical that the code in your `execute` method not mutate any R data structures, call any R code, or cause any R allocations, as it will execute in a background thread where such operations are unsafe. You can, however, perform such operations in the constructor (assuming you perform construction only from the main R thread) and `complete` method. Pass values between the constructor and methods using fields.
+
+```rcpp
+#include <Rcpp.h>
+#include <later_api.h>
+
+class MyTask : public later::BackgroundTask {
+public:
+  MyTask(Rcpp::NumericVector vec) :
+    inputVals(Rcpp::as<std::vector<double> >(vec)) {
+  }
+
+protected:
+  void execute() {
+    double sum = 0;
+    for (std::vector<double>::const_iterator it = inputVals.begin();
+      it != inputVals.end();
+      it++) {
+      
+      sum += *it;
+    }
+    result = sum / inputVals.size();
+  }
+  
+  void complete() {
+    Rprintf("Result is %f\n", result);
+  }
+
+private:
+  std::vector<double> inputVals;
+  double result;
+};
+```
+
+To run the task, `new` up your subclass and call `begin()`, e.g. `(new MyTask(vec))->begin()`. There's no need to keep track of the pointer; the task object will delete itself when the task is complete.
+
+```r
+// [[Rcpp::export]]
+void asyncMean(Rcpp::NumericVector data) {
+  (new MyTask(data))->begin();
+}
+```
+
+It's not very useful to execute tasks on background threads if you can't get access to the results back in R. We'll soon be introducing a complementary R package that provides a suitable "promise" or "future" abstraction.
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/later/doc/index.html
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--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/later/doc/index.html	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/later/doc/index.html	(revision 3761)
@@ -0,0 +1,29 @@
+<!DOCTYPE html>
+<html>
+<head><title>R: Vignettes and other documentation</title>
+<meta http-equiv="Content-Type" content="text/html; charset=utf-8" />
+<meta name="viewport" content="width=device-width, initial-scale=1.0, user-scalable=yes" />
+<link rel="stylesheet" type="text/css" href="/doc/html/R.css" />
+</head><body><div class="container">
+<h1> Vignettes and other documentation
+<img class="toplogo" src="/doc/html/Rlogo.svg" alt="[R logo]" />
+</h1>
+<hr/>
+<div style="text-align: center;">
+<a href="/doc/html/index.html"><img class="arrow" src="/doc/html/up.jpg" alt="[Top]" /></a>
+</div>
+<h2>Vignettes from package 'later'</h2>
+<table style="width: 100%;">
+<col style="width: 22%;" />
+<col style="width:  2%;" />
+<col style="width: 50%;" />
+<col style="width:  8%;" />
+<col style="width:  8%;" />
+<col style="width:  8%;" />
+<tr><td style="text-align: right; vertical-align: top;"><a href="../../../library/later/doc/later-cpp.html">later::later-cpp</a></td>
+<td></td><td style="vertical-align: top;">Using later from C++</td>
+<td style="vertical-align: top;"><a href="../../../library/later/doc/later-cpp.html">HTML</a></td>
+<td style="vertical-align: top;"><a href="../../../library/later/doc/later-cpp.Rmd">source</a></td>
+<td style="vertical-align: top; white-space: nowrap"></td></tr>
+</table>
+</div></body></html>

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===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/later/doc/later-cpp.html	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/later/doc/later-cpp.html	(revision 3761)
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+
+<meta name="viewport" content="width=device-width, initial-scale=1" />
+
+<meta name="author" content="Joe Cheng" />
+
+<meta name="date" content="2021-08-18" />
+
+<title>Using later from C++</title>
+
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+
+
+
+<h1 class="title toc-ignore">Using later from C++</h1>
+<h4 class="author">Joe Cheng</h4>
+<h4 class="date">2021-08-18</h4>
+
+
+
+<div id="using-later-from-c" class="section level1">
+<h1>Using later from C++</h1>
+<p>You can call <code>later::later</code> from C++ code in your own packages, to cause your own C-style functions to be called back. This is safe to call from either the main R thread or a different thread; in both cases, your callback will be invoked from the main R thread.</p>
+<p>To use the C++ interface, youâ€™ll need to:</p>
+<ul>
+<li>Add <code>later</code> to your <code>DESCRIPTION</code> file, under both <code>LinkingTo</code> and <code>Imports</code></li>
+<li>Make sure that your <code>NAMESPACE</code> file has an <code>import(later)</code> entry. If your package uses roxygen2, you can do this by adding the following lines to any file under <code>R/</code>:</li>
+</ul>
+<pre><code>#&#39; @import later
+NULL</code></pre>
+<ul>
+<li>Add <code>#include &lt;later_api.h&gt;</code> to the top of each C++ file that uses the below APIs.</li>
+</ul>
+<div id="executing-a-c-function-later" class="section level2">
+<h2>Executing a C function later</h2>
+<p>The <code>later::later</code> function is accessible from <code>later_api.h</code> and its prototype looks like this:</p>
+<div class="sourceCode" id="cb2"><pre class="sourceCode cpp"><code class="sourceCode cpp"><span id="cb2-1"><a href="#cb2-1"></a><span class="dt">void</span> later(<span class="dt">void</span> (*func)(<span class="dt">void</span>*), <span class="dt">void</span>* data, <span class="dt">double</span> secs)</span></code></pre></div>
+<p>The first argument is a pointer to a function that takes one <code>void*</code> argument and returns void. The second argument is a <code>void*</code> that will be passed to the function when itâ€™s called back. And the third argument is the number of seconds to wait (at a minimum) before invoking. In all cases, the function will be invoked on the R thread, when no user R code is executing.</p>
+</div>
+<div id="background-tasks" class="section level2">
+<h2>Background tasks</h2>
+<p>This package also offers a higher-level C++ helper class called <code>later::BackgroundTask</code>, to make it easier to execute tasks on a background thread. It takes care of launching the background thread for you, and returning control back to the R thread at a later point; youâ€™re responsible for providing the actual code that executes on the background thread, as well as code that executes on the R thread before and after the background task completes.</p>
+<p>Its public/protected interface looks like this:</p>
+<div class="sourceCode" id="cb3"><pre class="sourceCode cpp"><code class="sourceCode cpp"><span id="cb3-1"><a href="#cb3-1"></a><span class="kw">class</span> BackgroundTask {</span>
+<span id="cb3-2"><a href="#cb3-2"></a></span>
+<span id="cb3-3"><a href="#cb3-3"></a><span class="kw">public</span>:</span>
+<span id="cb3-4"><a href="#cb3-4"></a>  BackgroundTask();</span>
+<span id="cb3-5"><a href="#cb3-5"></a>  <span class="kw">virtual</span> ~BackgroundTask();</span>
+<span id="cb3-6"><a href="#cb3-6"></a></span>
+<span id="cb3-7"><a href="#cb3-7"></a>  <span class="co">// Start executing the task  </span></span>
+<span id="cb3-8"><a href="#cb3-8"></a>  <span class="dt">void</span> begin();</span>
+<span id="cb3-9"><a href="#cb3-9"></a></span>
+<span id="cb3-10"><a href="#cb3-10"></a><span class="kw">protected</span>:</span>
+<span id="cb3-11"><a href="#cb3-11"></a>  <span class="co">// The task to be executed on the background thread.</span></span>
+<span id="cb3-12"><a href="#cb3-12"></a>  <span class="co">// Neither the R runtime nor any R data structures may be</span></span>
+<span id="cb3-13"><a href="#cb3-13"></a>  <span class="co">// touched from the background thread; any values that need</span></span>
+<span id="cb3-14"><a href="#cb3-14"></a>  <span class="co">// to be passed into or out of the Execute method must be</span></span>
+<span id="cb3-15"><a href="#cb3-15"></a>  <span class="co">// included as fields on the Task subclass object.</span></span>
+<span id="cb3-16"><a href="#cb3-16"></a>  <span class="kw">virtual</span> <span class="dt">void</span> execute() = <span class="dv">0</span>;</span>
+<span id="cb3-17"><a href="#cb3-17"></a>  </span>
+<span id="cb3-18"><a href="#cb3-18"></a>  <span class="co">// A short task that runs on the main R thread after the</span></span>
+<span id="cb3-19"><a href="#cb3-19"></a>  <span class="co">// background task has completed. It&#39;s safe to access the</span></span>
+<span id="cb3-20"><a href="#cb3-20"></a>  <span class="co">// R runtime and R data structures from here.</span></span>
+<span id="cb3-21"><a href="#cb3-21"></a>  <span class="kw">virtual</span> <span class="dt">void</span> complete() = <span class="dv">0</span>;</span>
+<span id="cb3-22"><a href="#cb3-22"></a>}</span></code></pre></div>
+<p>Create your own subclass, implementing a custom constructor plus the <code>execute</code> and <code>complete</code> methods.</p>
+<p>Itâ€™s critical that the code in your <code>execute</code> method not mutate any R data structures, call any R code, or cause any R allocations, as it will execute in a background thread where such operations are unsafe. You can, however, perform such operations in the constructor (assuming you perform construction only from the main R thread) and <code>complete</code> method. Pass values between the constructor and methods using fields.</p>
+<pre class="rcpp"><code>#include &lt;Rcpp.h&gt;
+#include &lt;later_api.h&gt;
+
+class MyTask : public later::BackgroundTask {
+public:
+  MyTask(Rcpp::NumericVector vec) :
+    inputVals(Rcpp::as&lt;std::vector&lt;double&gt; &gt;(vec)) {
+  }
+
+protected:
+  void execute() {
+    double sum = 0;
+    for (std::vector&lt;double&gt;::const_iterator it = inputVals.begin();
+      it != inputVals.end();
+      it++) {
+      
+      sum += *it;
+    }
+    result = sum / inputVals.size();
+  }
+  
+  void complete() {
+    Rprintf(&quot;Result is %f\n&quot;, result);
+  }
+
+private:
+  std::vector&lt;double&gt; inputVals;
+  double result;
+};</code></pre>
+<p>To run the task, <code>new</code> up your subclass and call <code>begin()</code>, e.g.Â <code>(new MyTask(vec))-&gt;begin()</code>. Thereâ€™s no need to keep track of the pointer; the task object will delete itself when the task is complete.</p>
+<div class="sourceCode" id="cb5"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb5-1"><a href="#cb5-1"></a><span class="op">/</span><span class="er">/</span><span class="st"> </span>[[Rcpp<span class="op">::</span>export]]</span>
+<span id="cb5-2"><a href="#cb5-2"></a>void <span class="kw">asyncMean</span>(Rcpp<span class="op">::</span>NumericVector data) {</span>
+<span id="cb5-3"><a href="#cb5-3"></a>  (new <span class="kw">MyTask</span>(data))-&gt;<span class="kw">begin</span>();</span>
+<span id="cb5-4"><a href="#cb5-4"></a>}</span></code></pre></div>
+<p>Itâ€™s not very useful to execute tasks on background threads if you canâ€™t get access to the results back in R. Weâ€™ll soon be introducing a complementary R package that provides a suitable â€œpromiseâ€� or â€œfutureâ€� abstraction.</p>
+</div>
+</div>
+
+
+
+<!-- code folding -->
+
+
+<!-- dynamically load mathjax for compatibility with self-contained -->
+<script>
+  (function () {
+    var script = document.createElement("script");
+    script.type = "text/javascript";
+    script.src  = "https://mathjax.rstudio.com/latest/MathJax.js?config=TeX-AMS-MML_HTMLorMML";
+    document.getElementsByTagName("head")[0].appendChild(script);
+  })();
+</script>
+
+</body>
+</html>

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===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/later/help/AnIndex	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/later/help/AnIndex	(revision 3761)
@@ -0,0 +1,13 @@
+create_loop	create_loop
+current_loop	create_loop
+destroy_loop	create_loop
+exists_loop	create_loop
+global_loop	create_loop
+later	later
+list_queue	list_queue
+logLevel	logLevel
+loop_empty	loop_empty
+next_op_secs	next_op_secs
+run_now	run_now
+with_loop	create_loop
+with_temp_loop	create_loop
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===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/stats4/help/AnIndex	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/stats4/help/AnIndex	(revision 3761)
@@ -0,0 +1,36 @@
+stats4-package	stats4-package
+coef,ANY-method	coef-methods
+coef,mle-method	coef-methods
+coef,summary.mle-method	coef-methods
+coef-methods	coef-methods
+confint,ANY-method	confint-methods
+confint,mle-method	confint-methods
+confint,profile.mle-method	confint-methods
+confint-methods	confint-methods
+logLik,ANY-method	logLik-methods
+logLik,mle-method	logLik-methods
+logLik-methods	logLik-methods
+mle	mle
+mle-class	mle-class
+nobs,mle-method	mle-class
+plot,ANY,ANY-method	plot-methods
+plot,profile.mle,missing-method	plot-methods
+plot-methods	plot-methods
+profile,ANY-method	profile-methods
+profile,mle-method	profile-methods
+profile-methods	profile-methods
+profile.mle-class	profile.mle-class
+show,mle-method	show-methods
+show,summary.mle-method	show-methods
+show-methods	show-methods
+stats4	stats4-package
+summary,ANY-method	summary-methods
+summary,mle-method	summary-methods
+summary-methods	summary-methods
+summary.mle-class	summary.mle-class
+update,ANY-method	update-methods
+update,mle-method	update-methods
+update-methods	update-methods
+vcov,ANY-method	vcov-methods
+vcov,mle-method	vcov-methods
+vcov-methods	vcov-methods
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===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/stats4/R/stats4	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/stats4/R/stats4	(revision 3761)
@@ -0,0 +1,27 @@
+#  File share/R/nspackloader.R
+#  Part of the R package, https://www.R-project.org
+#
+#  Copyright (C) 1995-2012 The R Core Team
+#
+#  This program is free software; you can redistribute it and/or modify
+#  it under the terms of the GNU General Public License as published by
+#  the Free Software Foundation; either version 2 of the License, or
+#  (at your option) any later version.
+#
+#  This program is distributed in the hope that it will be useful,
+#  but WITHOUT ANY WARRANTY; without even the implied warranty of
+#  MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
+#  GNU General Public License for more details.
+#
+#  A copy of the GNU General Public License is available at
+#  https://www.r-project.org/Licenses/
+
+local({
+    info <- loadingNamespaceInfo()
+    pkg <- info$pkgname
+    ns <- .getNamespace(as.name(pkg))
+    if (is.null(ns))
+        stop("cannot find namespace environment for ", pkg, domain = NA);
+    dbbase <- file.path(info$libname, pkg, "R", pkg)
+    lazyLoad(dbbase, ns, filter = function(n) n != ".__NAMESPACE__.")
+})
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/stats4/tests/confint.R
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/stats4/tests/confint.R	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/stats4/tests/confint.R	(revision 3761)
@@ -0,0 +1,23 @@
+## PR#14646
+
+library(stats4)
+minusLogL1 <- function(mu, logsigma2)
+    N*log(2*pi*exp(logsigma2))/2 + N*(var(x)+(mean(x)-mu)^2)/(2*exp(logsigma2))
+
+minusLogL2 <- function(mu) {
+    logsigma2 <- 0;
+    N*log(2*pi*exp(logsigma2))/2 + N*(var(x)+(mean(x)-mu)^2)/(2*exp(logsigma2))
+}
+
+N <- 100
+set.seed(123)
+x <- rnorm(N, 0, 1)
+
+fit <- mle(minusLogL1, start = list(mu=0, logsigma2=0))
+confint(fit)
+
+fit2 <- mle(minusLogL1, start = list(mu=0), fixed = list(logsigma2=0))
+confint(fit2) # failed
+
+fit3 <- mle(minusLogL2, start = list(mu=0))
+confint(fit3) # same
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/stats4/html/R.css
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/stats4/html/R.css	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/stats4/html/R.css	(revision 3761)
@@ -0,0 +1,120 @@
+@media screen {
+    .container {
+	padding-right: 10px;
+	padding-left: 10px;
+	margin-right: auto;
+	margin-left: auto;
+	max-width: 900px;
+    }
+}
+
+.rimage img { /* from knitr - for examples and demos */
+    width: 96%;
+    margin-left: 2%;
+} 	
+
+.katex { font-size: 1.1em; }
+
+code {
+    color: inherit;
+    background: inherit;
+}
+
+body {
+    line-height: 1.4;
+    background: white;
+    color: black;
+}
+
+a:link {
+    background: white;
+    color: blue;
+}
+
+a:visited {
+    background: white;
+    color: rgb(50%, 0%, 50%);
+}
+
+h1 {
+    background: white;
+    color: rgb(55%, 55%, 55%);
+    font-family: monospace;
+    font-size: 1.4em; /* x-large; */
+    text-align: center;
+}
+
+h2 {
+    background: white;
+    color: rgb(40%, 40%, 40%);
+    font-family: monospace;
+    font-size: 1.2em; /* large; */
+    text-align: center;
+}
+
+h3 {
+    background: white;
+    color: rgb(40%, 40%, 40%);
+    font-family: monospace;
+    font-size: 1.2em; /* large; */
+}
+
+h4 {
+    background: white;
+    color: rgb(40%, 40%, 40%);
+    font-family: monospace;
+    font-style: italic;
+    font-size: 1.2em; /* large; */
+}
+
+h5 {
+    background: white;
+    color: rgb(40%, 40%, 40%);
+    font-family: monospace;
+}
+
+h6 {
+    background: white;
+    color: rgb(40%, 40%, 40%);
+    font-family: monospace;
+    font-style: italic;
+}
+
+img.toplogo {
+    width: 4em;
+    vertical-align: middle;
+}
+
+img.arrow {
+    width: 30px;
+    height: 30px;
+    border: 0;
+}
+
+span.acronym {
+    font-size: small;
+}
+
+span.env {
+    font-family: monospace;
+}
+
+span.file {
+    font-family: monospace;
+}
+
+span.option{
+    font-family: monospace;
+}
+
+span.pkg {
+    font-weight: bold;
+}
+
+span.samp{
+    font-family: monospace;
+}
+
+div.vignettes a:hover {
+    background: rgb(85%, 85%, 85%);
+}
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/stats4/html/00Index.html
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/stats4/html/00Index.html	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/stats4/html/00Index.html	(revision 3761)
@@ -0,0 +1,75 @@
+<!DOCTYPE html>
+<html>
+<head><title>R: Statistical Functions using S4 Classes</title>
+<meta http-equiv="Content-Type" content="text/html; charset=utf-8" />
+<meta name="viewport" content="width=device-width, initial-scale=1.0, user-scalable=yes" />
+<link rel="stylesheet" type="text/css" href="R.css" />
+</head><body><div class="container">
+<h1> Statistical Functions using S4 Classes
+<img class="toplogo" src="../../../doc/html/Rlogo.svg" alt="[R logo]" />
+</h1>
+<hr/>
+<div style="text-align: center;">
+<a href="../../../doc/html/packages.html"><img class="arrow" src="../../../doc/html/left.jpg" alt="[Up]" /></a>
+<a href="../../../doc/html/index.html"><img class="arrow" src="../../../doc/html/up.jpg" alt="[Top]" /></a>
+</div><h2>Documentation for package &lsquo;stats4&rsquo; version 4.2.2</h2>
+
+<ul><li><a href="../DESCRIPTION">DESCRIPTION file</a>.</li>
+</ul>
+
+<h2>Help Pages</h2>
+
+
+<table style="width: 100%;">
+<tr><td style="width: 25%;"><a href="stats4-package.html">stats4-package</a></td>
+<td>Statistical Functions using S4 Classes</td></tr>
+<tr><td style="width: 25%;"><a href="coef-methods.html">coef-method</a></td>
+<td>Methods for Function 'coef' in Package 'stats4'</td></tr>
+<tr><td style="width: 25%;"><a href="coef-methods.html">coef-methods</a></td>
+<td>Methods for Function 'coef' in Package 'stats4'</td></tr>
+<tr><td style="width: 25%;"><a href="confint-methods.html">confint-method</a></td>
+<td>Methods for Function 'confint' in Package 'stats4'</td></tr>
+<tr><td style="width: 25%;"><a href="confint-methods.html">confint-methods</a></td>
+<td>Methods for Function 'confint' in Package 'stats4'</td></tr>
+<tr><td style="width: 25%;"><a href="logLik-methods.html">logLik-method</a></td>
+<td>Methods for Function 'logLik' in Package 'stats4'</td></tr>
+<tr><td style="width: 25%;"><a href="logLik-methods.html">logLik-methods</a></td>
+<td>Methods for Function 'logLik' in Package 'stats4'</td></tr>
+<tr><td style="width: 25%;"><a href="mle.html">mle</a></td>
+<td>Maximum Likelihood Estimation</td></tr>
+<tr><td style="width: 25%;"><a href="mle-class.html">mle-class</a></td>
+<td>Class '"mle"' for Results of Maximum Likelihood Estimation</td></tr>
+<tr><td style="width: 25%;"><a href="mle-class.html">nobs-method</a></td>
+<td>Class '"mle"' for Results of Maximum Likelihood Estimation</td></tr>
+<tr><td style="width: 25%;"><a href="plot-methods.html">plot-method</a></td>
+<td>Methods for Function 'plot' in Package 'stats4'</td></tr>
+<tr><td style="width: 25%;"><a href="plot-methods.html">plot-methods</a></td>
+<td>Methods for Function 'plot' in Package 'stats4'</td></tr>
+<tr><td style="width: 25%;"><a href="profile-methods.html">profile-method</a></td>
+<td>Methods for Function 'profile' in Package 'stats4'</td></tr>
+<tr><td style="width: 25%;"><a href="profile-methods.html">profile-methods</a></td>
+<td>Methods for Function 'profile' in Package 'stats4'</td></tr>
+<tr><td style="width: 25%;"><a href="profile.mle-class.html">profile.mle-class</a></td>
+<td>Class '"profile.mle"'; Profiling information for '"mle"' object</td></tr>
+<tr><td style="width: 25%;"><a href="show-methods.html">show-method</a></td>
+<td>Methods for Function 'show' in Package 'stats4'</td></tr>
+<tr><td style="width: 25%;"><a href="show-methods.html">show-methods</a></td>
+<td>Methods for Function 'show' in Package 'stats4'</td></tr>
+<tr><td style="width: 25%;"><a href="stats4-package.html">stats4</a></td>
+<td>Statistical Functions using S4 Classes</td></tr>
+<tr><td style="width: 25%;"><a href="summary-methods.html">summary-method</a></td>
+<td>Methods for Function 'summary' in Package 'stats4'</td></tr>
+<tr><td style="width: 25%;"><a href="summary-methods.html">summary-methods</a></td>
+<td>Methods for Function 'summary' in Package 'stats4'</td></tr>
+<tr><td style="width: 25%;"><a href="summary.mle-class.html">summary.mle-class</a></td>
+<td>Class '"summary.mle"', Summary of '"mle"' Objects</td></tr>
+<tr><td style="width: 25%;"><a href="update-methods.html">update-method</a></td>
+<td>Methods for Function 'update' in Package 'stats4'</td></tr>
+<tr><td style="width: 25%;"><a href="update-methods.html">update-methods</a></td>
+<td>Methods for Function 'update' in Package 'stats4'</td></tr>
+<tr><td style="width: 25%;"><a href="vcov-methods.html">vcov-method</a></td>
+<td>Methods for Function 'vcov' in Package 'stats4'</td></tr>
+<tr><td style="width: 25%;"><a href="vcov-methods.html">vcov-methods</a></td>
+<td>Methods for Function 'vcov' in Package 'stats4'</td></tr>
+</table>
+</div></body></html>
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Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/magrittr/doc/magrittr.R
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/magrittr/doc/magrittr.R	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/magrittr/doc/magrittr.R	(revision 3761)
@@ -0,0 +1,75 @@
+## ----include = FALSE----------------------------------------------------------
+library(magrittr)
+options(scipen = 3)
+knitr::opts_chunk$set(comment = "#>", collapse = TRUE)
+
+## -----------------------------------------------------------------------------
+library(magrittr)
+
+car_data <- 
+  mtcars %>%
+  subset(hp > 100) %>%
+  aggregate(. ~ cyl, data = ., FUN = . %>% mean %>% round(2)) %>%
+  transform(kpl = mpg %>% multiply_by(0.4251)) %>%
+  print
+
+## -----------------------------------------------------------------------------
+car_data <- 
+  transform(aggregate(. ~ cyl, 
+                      data = subset(mtcars, hp > 100), 
+                      FUN = function(x) round(mean(x), 2)), 
+            kpl = mpg*0.4251)
+
+## ---- eval = FALSE------------------------------------------------------------
+#  car_data %>%
+#  (function(x) {
+#    if (nrow(x) > 2)
+#      rbind(head(x, 1), tail(x, 1))
+#    else x
+#  })
+
+## -----------------------------------------------------------------------------
+car_data %>%
+{ 
+  if (nrow(.) > 0)
+    rbind(head(., 1), tail(., 1))
+  else .
+}
+
+## -----------------------------------------------------------------------------
+1:10 %>% (substitute(f(), list(f = sum)))
+
+## ---- fig.keep='none'---------------------------------------------------------
+rnorm(200) %>%
+matrix(ncol = 2) %T>%
+plot %>% # plot usually does not return anything. 
+colSums
+
+## ---- eval = FALSE------------------------------------------------------------
+#  iris %>%
+#    subset(Sepal.Length > mean(Sepal.Length)) %$%
+#    cor(Sepal.Length, Sepal.Width)
+#  
+#  data.frame(z = rnorm(100)) %$%
+#    ts.plot(z)
+
+## ---- eval = FALSE------------------------------------------------------------
+#  iris$Sepal.Length %<>% sqrt
+
+## -----------------------------------------------------------------------------
+rnorm(1000)    %>%
+multiply_by(5) %>%
+add(5)         %>%
+{ 
+   cat("Mean:", mean(.), 
+       "Variance:", var(.), "\n")
+   head(.)
+}
+
+## ---- results = 'hide'--------------------------------------------------------
+rnorm(100) %>% `*`(5) %>% `+`(5) %>% 
+{
+  cat("Mean:", mean(.), "Variance:", var(.),  "\n")
+  head(.)
+}
+
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/magrittr/doc/index.html
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/magrittr/doc/index.html	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/magrittr/doc/index.html	(revision 3761)
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+<!DOCTYPE html>
+<html>
+<head><title>R: Vignettes and other documentation</title>
+<meta http-equiv="Content-Type" content="text/html; charset=utf-8" />
+<meta name="viewport" content="width=device-width, initial-scale=1.0, user-scalable=yes" />
+<link rel="stylesheet" type="text/css" href="/doc/html/R.css" />
+</head><body><div class="container">
+<h1> Vignettes and other documentation
+<img class="toplogo" src="/doc/html/Rlogo.svg" alt="[R logo]" />
+</h1>
+<hr/>
+<div style="text-align: center;">
+<a href="/doc/html/index.html"><img class="arrow" src="/doc/html/up.jpg" alt="[Top]" /></a>
+</div>
+<h2>Vignettes from package 'magrittr'</h2>
+<table style="width: 100%;">
+<col style="width: 22%;" />
+<col style="width:  2%;" />
+<col style="width: 50%;" />
+<col style="width:  8%;" />
+<col style="width:  8%;" />
+<col style="width:  8%;" />
+<tr><td style="text-align: right; vertical-align: top;"><a href="../../../library/magrittr/doc/magrittr.html">magrittr::magrittr</a></td>
+<td></td><td style="vertical-align: top;">Introducing magrittr</td>
+<td style="vertical-align: top;"><a href="../../../library/magrittr/doc/magrittr.html">HTML</a></td>
+<td style="vertical-align: top;"><a href="../../../library/magrittr/doc/magrittr.Rmd">source</a></td>
+<td style="vertical-align: top; white-space: nowrap"><a href="../../../library/magrittr/doc/magrittr.R">R code</a></td></tr>
+<tr><td style="text-align: right; vertical-align: top;"><a href="../../../library/magrittr/doc/tradeoffs.html">magrittr::tradeoffs</a></td>
+<td></td><td style="vertical-align: top;">Design tradeoffs</td>
+<td style="vertical-align: top;"><a href="../../../library/magrittr/doc/tradeoffs.html">HTML</a></td>
+<td style="vertical-align: top;"><a href="../../../library/magrittr/doc/tradeoffs.Rmd">source</a></td>
+<td style="vertical-align: top; white-space: nowrap"><a href="../../../library/magrittr/doc/tradeoffs.R">R code</a></td></tr>
+</table>
+</div></body></html>
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/magrittr/doc/magrittr.Rmd
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/magrittr/doc/magrittr.Rmd	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/magrittr/doc/magrittr.Rmd	(revision 3761)
@@ -0,0 +1,210 @@
+---
+title: "Introducing magrittr"
+author: Stefan Milton Bache
+date: November, 2014
+output: rmarkdown::html_vignette
+vignette: >
+  %\VignetteIndexEntry{Introducing magrittr}
+  %\VignetteEngine{knitr::rmarkdown}
+  %\usepackage[utf8]{inputenc}
+---
+
+```{r include = FALSE}
+library(magrittr)
+options(scipen = 3)
+knitr::opts_chunk$set(comment = "#>", collapse = TRUE)
+```
+
+# Abstract
+
+The *magrittr* (to be pronounced with a sophisticated french accent) package has
+two aims: decrease development time and improve readability and maintainability 
+of code. Or even shortr: make your code smokin' (puff puff)!
+
+To achieve its humble aims, *magrittr* (remember the accent) provides a new 
+"pipe"-like operator, `%>%`, with which you may pipe a value forward into an 
+expression or function call; something along the lines of ` x %>% f `, rather
+than ` f(x)`. This is not an unknown feature elsewhere; a prime example is the 
+`|>` operator used extensively in `F#` (to say the least) and indeed this 
+-- along with Unix pipes -- served as a motivation for developing the magrittr 
+package.
+
+This vignette describes the main features of *magrittr* and demonstrates
+some features which have been added since the initial release.
+
+# Introduction and basics
+
+At first encounter, you may wonder whether an operator such as `%>%` can really 
+be all that beneficial; but as you may notice, it semantically changes your 
+code in a way that makes it more intuitive to both read and write.
+
+Consider the following example, in which the `mtcars` dataset shipped with
+R is munged a little:
+```{r}
+library(magrittr)
+
+car_data <- 
+  mtcars %>%
+  subset(hp > 100) %>%
+  aggregate(. ~ cyl, data = ., FUN = . %>% mean %>% round(2)) %>%
+  transform(kpl = mpg %>% multiply_by(0.4251)) %>%
+  print
+```
+We start with a value, here `mtcars` (a `data.frame`). From there, we extract a 
+subset, aggregate the information based on the number of cylinders, and then 
+transform the dataset by adding a variable for kilometers per liter as a 
+supplement to miles per gallon. Finally we print the result before assigning 
+it. Note how the code is arranged in the logical order of how you think about 
+the task: data->transform->aggregate, which is also the same order as the code 
+will execute. It's like a recipe -- easy to read, easy to follow!
+
+A horrific alternative would be to write:
+```{r}
+car_data <- 
+  transform(aggregate(. ~ cyl, 
+                      data = subset(mtcars, hp > 100), 
+                      FUN = function(x) round(mean(x), 2)), 
+            kpl = mpg*0.4251)
+```
+There is a lot more clutter with parentheses, and the mental task of deciphering
+the code is more challenging---particularly if you did not write it yourself.
+
+Note also how "building" a function on the fly for use in `aggregate` is very
+simple in *magrittr*: rather than an actual value as the left-hand side in 
+the pipeline, just use the placeholder. This is also very useful in R's 
+`*apply` family of functions.
+
+Granted, you may make the second example better, perhaps throw in a few 
+temporary variables (which is often avoided to some degree when using 
+*magrittr*), but one often sees cluttered lines like the ones presented. 
+
+And here is another selling point: suppose I want to quickly add another step 
+somewhere in the process. This is very easy to do in the pipeline version, but 
+a little more challenging in the "standard" example.
+
+The combined example shows a few neat features of the pipe (which it is not):
+
+1. By default the left-hand side (LHS) will be *piped in* as the first argument of 
+the function appearing on the right-hand side (RHS). This is the case in the 
+`subset` and `transform` expressions.
+2. `%>%` may be used in a nested fashion, e.g. it may appear in expressions within 
+arguments. This is illustrated in the `mpg` to `kpl` conversion.
+3. When the LHS is needed at a position other than the first, one can use
+the dot,`'.'`, as placeholder. This is shown in the `aggregate` expression.
+4. The dot in e.g. a formula is *not* confused with a placeholder, which is
+utilized in the `aggregate` expression.
+5. Whenever only *one* argument (the LHS) is needed, one can omit the empty 
+parentheses. This is shown in the call to `print` (which also returns its
+argument). Here, `LHS %>% print()`, or even `LHS %>% print(.)` would also work.
+6. A pipeline with a dot (`.`) as the LHS will create a unary function. This is
+used to define the aggregator function.
+
+One feature, which was not demonstrated above is piping into *anonymous 
+functions*, or *lambdas*. This is possible using standard function definitions, 
+e.g.:
+```{r, eval = FALSE}
+car_data %>%
+(function(x) {
+  if (nrow(x) > 2) 
+    rbind(head(x, 1), tail(x, 1))
+  else x
+})
+```
+However, *magrittr* also allows a short-hand notation:
+```{r}
+car_data %>%
+{ 
+  if (nrow(.) > 0)
+    rbind(head(., 1), tail(., 1))
+  else .
+}
+```
+Since all right-hand sides are really "body expressions" of unary functions, 
+this is only the natural extension of the simple right-hand side expressions. 
+Of course, longer and more complex functions can be made using this approach.
+
+In the first example, the anonymous function is enclosed in parentheses.
+Whenever you want to use a function- or call-generating statement as right-hand 
+side, parentheses are used to evaluate the right-hand side before piping takes 
+place.
+
+Another, less useful example is:
+```{r}
+1:10 %>% (substitute(f(), list(f = sum)))
+```
+
+# Additional pipe operators
+*magrittr* also provides three related pipe operators. These are not as common 
+as `%>%` but they become useful in special cases. 
+
+The "tee" pipe, `%T>%` works like `%>%`, except it returns the left-hand
+side value, and not the result of the right-hand side operation. This is useful 
+when a step in a pipeline is used for its side-effect (printing, plotting, 
+logging, etc.). As an example (where the actual plot is omitted here):
+```{r, fig.keep='none'}
+rnorm(200) %>%
+matrix(ncol = 2) %T>%
+plot %>% # plot usually does not return anything. 
+colSums
+```
+
+The "exposition" pipe, `%$%` exposes the names within the left-hand side
+object to the right-hand side expression. Essentially, it is a short-hand for 
+using the `with` functions (and the same left-hand side objects are accepted).
+This operator is handy when functions do not themselves have a data argument, as 
+for example `lm` and `aggregate` do. Here are a few examples as illustration:
+
+```{r, eval = FALSE}
+iris %>%
+  subset(Sepal.Length > mean(Sepal.Length)) %$%
+  cor(Sepal.Length, Sepal.Width)
+   
+data.frame(z = rnorm(100)) %$% 
+  ts.plot(z)
+```
+
+Finally, the "assignment" pipe `%<>%` can be used as the first 
+pipe in a chain. The effect will be that the result of the pipeline is assigned 
+to the left-hand side object, rather than returning the result as usual. It is 
+essentially shorthand notation for expressions like `foo <- foo %>% bar %>% baz`, 
+which boils down to `foo %<>% bar %>% baz`. Another example is:
+
+```{r, eval = FALSE}
+iris$Sepal.Length %<>% sqrt
+```
+
+The `%<>%` can be used whenever `expr <- ...` makes sense, e.g. 
+
+* `x %<>% foo %>% bar`
+* `x[1:10] %<>% foo %>% bar`
+* `x$baz %<>% foo %>% bar`
+
+# Aliases
+
+In addition to the `%>%`-operator, *magrittr* provides some aliases for other
+operators which make operations such as addition or multiplication fit well 
+into the *magrittr*-syntax. As an example, consider:
+```{r}
+rnorm(1000)    %>%
+multiply_by(5) %>%
+add(5)         %>%
+{ 
+   cat("Mean:", mean(.), 
+       "Variance:", var(.), "\n")
+   head(.)
+}
+```
+which could be written in more compact form as:
+```{r, results = 'hide'}
+rnorm(100) %>% `*`(5) %>% `+`(5) %>% 
+{
+  cat("Mean:", mean(.), "Variance:", var(.),  "\n")
+  head(.)
+}
+```
+To see a list of the aliases, execute e.g. `?multiply_by`. 
+
+# Development
+The *magrittr* package is also available in a development version at the
+GitHub development page:
+[github.com/tidyverse/magrittr](https://github.com/tidyverse/magrittr).
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/magrittr/doc/magrittr.html
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@@ -0,0 +1,280 @@
+<!DOCTYPE html>
+
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+<meta http-equiv="X-UA-Compatible" content="IE=EDGE" />
+
+<meta name="viewport" content="width=device-width, initial-scale=1" />
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+<meta name="author" content="Stefan Milton Bache" />
+
+
+<title>Introducing magrittr</title>
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+<h1 class="title toc-ignore">Introducing magrittr</h1>
+<h4 class="author">Stefan Milton Bache</h4>
+<h4 class="date">November, 2014</h4>
+
+
+
+<div id="abstract" class="section level1">
+<h1>Abstract</h1>
+<p>The <em>magrittr</em> (to be pronounced with a sophisticated french accent) package has two aims: decrease development time and improve readability and maintainability of code. Or even shortr: make your code smokinâ€™ (puff puff)!</p>
+<p>To achieve its humble aims, <em>magrittr</em> (remember the accent) provides a new â€œpipeâ€�-like operator, <code>%&gt;%</code>, with which you may pipe a value forward into an expression or function call; something along the lines of <code>x %&gt;% f</code>, rather than <code>f(x)</code>. This is not an unknown feature elsewhere; a prime example is the <code>|&gt;</code> operator used extensively in <code>F#</code> (to say the least) and indeed this â€“ along with Unix pipes â€“ served as a motivation for developing the magrittr package.</p>
+<p>This vignette describes the main features of <em>magrittr</em> and demonstrates some features which have been added since the initial release.</p>
+</div>
+<div id="introduction-and-basics" class="section level1">
+<h1>Introduction and basics</h1>
+<p>At first encounter, you may wonder whether an operator such as <code>%&gt;%</code> can really be all that beneficial; but as you may notice, it semantically changes your code in a way that makes it more intuitive to both read and write.</p>
+<p>Consider the following example, in which the <code>mtcars</code> dataset shipped with R is munged a little:</p>
+<div class="sourceCode" id="cb1"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb1-1"><a href="#cb1-1" aria-hidden="true" tabindex="-1"></a><span class="fu">library</span>(magrittr)</span>
+<span id="cb1-2"><a href="#cb1-2" aria-hidden="true" tabindex="-1"></a></span>
+<span id="cb1-3"><a href="#cb1-3" aria-hidden="true" tabindex="-1"></a>car_data <span class="ot">&lt;-</span> </span>
+<span id="cb1-4"><a href="#cb1-4" aria-hidden="true" tabindex="-1"></a>  mtcars <span class="sc">%&gt;%</span></span>
+<span id="cb1-5"><a href="#cb1-5" aria-hidden="true" tabindex="-1"></a>  <span class="fu">subset</span>(hp <span class="sc">&gt;</span> <span class="dv">100</span>) <span class="sc">%&gt;%</span></span>
+<span id="cb1-6"><a href="#cb1-6" aria-hidden="true" tabindex="-1"></a>  <span class="fu">aggregate</span>(. <span class="sc">~</span> cyl, <span class="at">data =</span> ., <span class="at">FUN =</span> . <span class="sc">%&gt;%</span> mean <span class="sc">%&gt;%</span> <span class="fu">round</span>(<span class="dv">2</span>)) <span class="sc">%&gt;%</span></span>
+<span id="cb1-7"><a href="#cb1-7" aria-hidden="true" tabindex="-1"></a>  <span class="fu">transform</span>(<span class="at">kpl =</span> mpg <span class="sc">%&gt;%</span> <span class="fu">multiply_by</span>(<span class="fl">0.4251</span>)) <span class="sc">%&gt;%</span></span>
+<span id="cb1-8"><a href="#cb1-8" aria-hidden="true" tabindex="-1"></a>  print</span>
+<span id="cb1-9"><a href="#cb1-9" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt;   cyl   mpg   disp     hp drat   wt  qsec   vs   am gear carb       kpl</span></span>
+<span id="cb1-10"><a href="#cb1-10" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt; 1   4 25.90 108.05 111.00 3.94 2.15 17.75 1.00 1.00 4.50 2.00 11.010090</span></span>
+<span id="cb1-11"><a href="#cb1-11" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt; 2   6 19.74 183.31 122.29 3.59 3.12 17.98 0.57 0.43 3.86 3.43  8.391474</span></span>
+<span id="cb1-12"><a href="#cb1-12" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt; 3   8 15.10 353.10 209.21 3.23 4.00 16.77 0.00 0.14 3.29 3.50  6.419010</span></span></code></pre></div>
+<p>We start with a value, here <code>mtcars</code> (a <code>data.frame</code>). From there, we extract a subset, aggregate the information based on the number of cylinders, and then transform the dataset by adding a variable for kilometers per liter as a supplement to miles per gallon. Finally we print the result before assigning it. Note how the code is arranged in the logical order of how you think about the task: data-&gt;transform-&gt;aggregate, which is also the same order as the code will execute. Itâ€™s like a recipe â€“ easy to read, easy to follow!</p>
+<p>A horrific alternative would be to write:</p>
+<div class="sourceCode" id="cb2"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb2-1"><a href="#cb2-1" aria-hidden="true" tabindex="-1"></a>car_data <span class="ot">&lt;-</span> </span>
+<span id="cb2-2"><a href="#cb2-2" aria-hidden="true" tabindex="-1"></a>  <span class="fu">transform</span>(<span class="fu">aggregate</span>(. <span class="sc">~</span> cyl, </span>
+<span id="cb2-3"><a href="#cb2-3" aria-hidden="true" tabindex="-1"></a>                      <span class="at">data =</span> <span class="fu">subset</span>(mtcars, hp <span class="sc">&gt;</span> <span class="dv">100</span>), </span>
+<span id="cb2-4"><a href="#cb2-4" aria-hidden="true" tabindex="-1"></a>                      <span class="at">FUN =</span> <span class="cf">function</span>(x) <span class="fu">round</span>(<span class="fu">mean</span>(x), <span class="dv">2</span>)), </span>
+<span id="cb2-5"><a href="#cb2-5" aria-hidden="true" tabindex="-1"></a>            <span class="at">kpl =</span> mpg<span class="sc">*</span><span class="fl">0.4251</span>)</span></code></pre></div>
+<p>There is a lot more clutter with parentheses, and the mental task of deciphering the code is more challengingâ€”particularly if you did not write it yourself.</p>
+<p>Note also how â€œbuildingâ€� a function on the fly for use in <code>aggregate</code> is very simple in <em>magrittr</em>: rather than an actual value as the left-hand side in the pipeline, just use the placeholder. This is also very useful in Râ€™s <code>*apply</code> family of functions.</p>
+<p>Granted, you may make the second example better, perhaps throw in a few temporary variables (which is often avoided to some degree when using <em>magrittr</em>), but one often sees cluttered lines like the ones presented.</p>
+<p>And here is another selling point: suppose I want to quickly add another step somewhere in the process. This is very easy to do in the pipeline version, but a little more challenging in the â€œstandardâ€� example.</p>
+<p>The combined example shows a few neat features of the pipe (which it is not):</p>
+<ol style="list-style-type: decimal">
+<li>By default the left-hand side (LHS) will be <em>piped in</em> as the first argument of the function appearing on the right-hand side (RHS). This is the case in the <code>subset</code> and <code>transform</code> expressions.</li>
+<li><code>%&gt;%</code> may be used in a nested fashion, e.g.Â it may appear in expressions within arguments. This is illustrated in the <code>mpg</code> to <code>kpl</code> conversion.</li>
+<li>When the LHS is needed at a position other than the first, one can use the dot,<code>&#39;.&#39;</code>, as placeholder. This is shown in the <code>aggregate</code> expression.</li>
+<li>The dot in e.g.Â a formula is <em>not</em> confused with a placeholder, which is utilized in the <code>aggregate</code> expression.</li>
+<li>Whenever only <em>one</em> argument (the LHS) is needed, one can omit the empty parentheses. This is shown in the call to <code>print</code> (which also returns its argument). Here, <code>LHS %&gt;% print()</code>, or even <code>LHS %&gt;% print(.)</code> would also work.</li>
+<li>A pipeline with a dot (<code>.</code>) as the LHS will create a unary function. This is used to define the aggregator function.</li>
+</ol>
+<p>One feature, which was not demonstrated above is piping into <em>anonymous functions</em>, or <em>lambdas</em>. This is possible using standard function definitions, e.g.:</p>
+<div class="sourceCode" id="cb3"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb3-1"><a href="#cb3-1" aria-hidden="true" tabindex="-1"></a>car_data <span class="sc">%&gt;%</span></span>
+<span id="cb3-2"><a href="#cb3-2" aria-hidden="true" tabindex="-1"></a>(<span class="cf">function</span>(x) {</span>
+<span id="cb3-3"><a href="#cb3-3" aria-hidden="true" tabindex="-1"></a>  <span class="cf">if</span> (<span class="fu">nrow</span>(x) <span class="sc">&gt;</span> <span class="dv">2</span>) </span>
+<span id="cb3-4"><a href="#cb3-4" aria-hidden="true" tabindex="-1"></a>    <span class="fu">rbind</span>(<span class="fu">head</span>(x, <span class="dv">1</span>), <span class="fu">tail</span>(x, <span class="dv">1</span>))</span>
+<span id="cb3-5"><a href="#cb3-5" aria-hidden="true" tabindex="-1"></a>  <span class="cf">else</span> x</span>
+<span id="cb3-6"><a href="#cb3-6" aria-hidden="true" tabindex="-1"></a>})</span></code></pre></div>
+<p>However, <em>magrittr</em> also allows a short-hand notation:</p>
+<div class="sourceCode" id="cb4"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb4-1"><a href="#cb4-1" aria-hidden="true" tabindex="-1"></a>car_data <span class="sc">%&gt;%</span></span>
+<span id="cb4-2"><a href="#cb4-2" aria-hidden="true" tabindex="-1"></a>{ </span>
+<span id="cb4-3"><a href="#cb4-3" aria-hidden="true" tabindex="-1"></a>  <span class="cf">if</span> (<span class="fu">nrow</span>(.) <span class="sc">&gt;</span> <span class="dv">0</span>)</span>
+<span id="cb4-4"><a href="#cb4-4" aria-hidden="true" tabindex="-1"></a>    <span class="fu">rbind</span>(<span class="fu">head</span>(., <span class="dv">1</span>), <span class="fu">tail</span>(., <span class="dv">1</span>))</span>
+<span id="cb4-5"><a href="#cb4-5" aria-hidden="true" tabindex="-1"></a>  <span class="cf">else</span> .</span>
+<span id="cb4-6"><a href="#cb4-6" aria-hidden="true" tabindex="-1"></a>}</span>
+<span id="cb4-7"><a href="#cb4-7" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt;   cyl  mpg   disp     hp drat   wt  qsec vs   am gear carb      kpl</span></span>
+<span id="cb4-8"><a href="#cb4-8" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt; 1   4 25.9 108.05 111.00 3.94 2.15 17.75  1 1.00 4.50  2.0 11.01009</span></span>
+<span id="cb4-9"><a href="#cb4-9" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt; 3   8 15.1 353.10 209.21 3.23 4.00 16.77  0 0.14 3.29  3.5  6.41901</span></span></code></pre></div>
+<p>Since all right-hand sides are really â€œbody expressionsâ€� of unary functions, this is only the natural extension of the simple right-hand side expressions. Of course, longer and more complex functions can be made using this approach.</p>
+<p>In the first example, the anonymous function is enclosed in parentheses. Whenever you want to use a function- or call-generating statement as right-hand side, parentheses are used to evaluate the right-hand side before piping takes place.</p>
+<p>Another, less useful example is:</p>
+<div class="sourceCode" id="cb5"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb5-1"><a href="#cb5-1" aria-hidden="true" tabindex="-1"></a><span class="dv">1</span><span class="sc">:</span><span class="dv">10</span> <span class="sc">%&gt;%</span> (<span class="fu">substitute</span>(<span class="fu">f</span>(), <span class="fu">list</span>(<span class="at">f =</span> sum)))</span>
+<span id="cb5-2"><a href="#cb5-2" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt; [1] 55</span></span></code></pre></div>
+</div>
+<div id="additional-pipe-operators" class="section level1">
+<h1>Additional pipe operators</h1>
+<p><em>magrittr</em> also provides three related pipe operators. These are not as common as <code>%&gt;%</code> but they become useful in special cases.</p>
+<p>The â€œteeâ€� pipe, <code>%T&gt;%</code> works like <code>%&gt;%</code>, except it returns the left-hand side value, and not the result of the right-hand side operation. This is useful when a step in a pipeline is used for its side-effect (printing, plotting, logging, etc.). As an example (where the actual plot is omitted here):</p>
+<div class="sourceCode" id="cb6"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb6-1"><a href="#cb6-1" aria-hidden="true" tabindex="-1"></a><span class="fu">rnorm</span>(<span class="dv">200</span>) <span class="sc">%&gt;%</span></span>
+<span id="cb6-2"><a href="#cb6-2" aria-hidden="true" tabindex="-1"></a><span class="fu">matrix</span>(<span class="at">ncol =</span> <span class="dv">2</span>) <span class="sc">%T&gt;%</span></span>
+<span id="cb6-3"><a href="#cb6-3" aria-hidden="true" tabindex="-1"></a>plot <span class="sc">%&gt;%</span> <span class="co"># plot usually does not return anything. </span></span>
+<span id="cb6-4"><a href="#cb6-4" aria-hidden="true" tabindex="-1"></a>colSums</span>
+<span id="cb6-5"><a href="#cb6-5" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt; [1]  -4.018676 -27.018219</span></span></code></pre></div>
+<p>The â€œexpositionâ€� pipe, <code>%$%</code> exposes the names within the left-hand side object to the right-hand side expression. Essentially, it is a short-hand for using the <code>with</code> functions (and the same left-hand side objects are accepted). This operator is handy when functions do not themselves have a data argument, as for example <code>lm</code> and <code>aggregate</code> do. Here are a few examples as illustration:</p>
+<div class="sourceCode" id="cb7"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb7-1"><a href="#cb7-1" aria-hidden="true" tabindex="-1"></a>iris <span class="sc">%&gt;%</span></span>
+<span id="cb7-2"><a href="#cb7-2" aria-hidden="true" tabindex="-1"></a>  <span class="fu">subset</span>(Sepal.Length <span class="sc">&gt;</span> <span class="fu">mean</span>(Sepal.Length)) <span class="sc">%$%</span></span>
+<span id="cb7-3"><a href="#cb7-3" aria-hidden="true" tabindex="-1"></a>  <span class="fu">cor</span>(Sepal.Length, Sepal.Width)</span>
+<span id="cb7-4"><a href="#cb7-4" aria-hidden="true" tabindex="-1"></a>   </span>
+<span id="cb7-5"><a href="#cb7-5" aria-hidden="true" tabindex="-1"></a><span class="fu">data.frame</span>(<span class="at">z =</span> <span class="fu">rnorm</span>(<span class="dv">100</span>)) <span class="sc">%$%</span> </span>
+<span id="cb7-6"><a href="#cb7-6" aria-hidden="true" tabindex="-1"></a>  <span class="fu">ts.plot</span>(z)</span></code></pre></div>
+<p>Finally, the â€œassignmentâ€� pipe <code>%&lt;&gt;%</code> can be used as the first pipe in a chain. The effect will be that the result of the pipeline is assigned to the left-hand side object, rather than returning the result as usual. It is essentially shorthand notation for expressions like <code>foo &lt;- foo %&gt;% bar %&gt;% baz</code>, which boils down to <code>foo %&lt;&gt;% bar %&gt;% baz</code>. Another example is:</p>
+<div class="sourceCode" id="cb8"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb8-1"><a href="#cb8-1" aria-hidden="true" tabindex="-1"></a>iris<span class="sc">$</span>Sepal.Length <span class="sc">%&lt;&gt;%</span> sqrt</span></code></pre></div>
+<p>The <code>%&lt;&gt;%</code> can be used whenever <code>expr &lt;- ...</code> makes sense, e.g.Â </p>
+<ul>
+<li><code>x %&lt;&gt;% foo %&gt;% bar</code></li>
+<li><code>x[1:10] %&lt;&gt;% foo %&gt;% bar</code></li>
+<li><code>x$baz %&lt;&gt;% foo %&gt;% bar</code></li>
+</ul>
+</div>
+<div id="aliases" class="section level1">
+<h1>Aliases</h1>
+<p>In addition to the <code>%&gt;%</code>-operator, <em>magrittr</em> provides some aliases for other operators which make operations such as addition or multiplication fit well into the <em>magrittr</em>-syntax. As an example, consider:</p>
+<div class="sourceCode" id="cb9"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb9-1"><a href="#cb9-1" aria-hidden="true" tabindex="-1"></a><span class="fu">rnorm</span>(<span class="dv">1000</span>)    <span class="sc">%&gt;%</span></span>
+<span id="cb9-2"><a href="#cb9-2" aria-hidden="true" tabindex="-1"></a><span class="fu">multiply_by</span>(<span class="dv">5</span>) <span class="sc">%&gt;%</span></span>
+<span id="cb9-3"><a href="#cb9-3" aria-hidden="true" tabindex="-1"></a><span class="fu">add</span>(<span class="dv">5</span>)         <span class="sc">%&gt;%</span></span>
+<span id="cb9-4"><a href="#cb9-4" aria-hidden="true" tabindex="-1"></a>{ </span>
+<span id="cb9-5"><a href="#cb9-5" aria-hidden="true" tabindex="-1"></a>   <span class="fu">cat</span>(<span class="st">&quot;Mean:&quot;</span>, <span class="fu">mean</span>(.), </span>
+<span id="cb9-6"><a href="#cb9-6" aria-hidden="true" tabindex="-1"></a>       <span class="st">&quot;Variance:&quot;</span>, <span class="fu">var</span>(.), <span class="st">&quot;</span><span class="sc">\n</span><span class="st">&quot;</span>)</span>
+<span id="cb9-7"><a href="#cb9-7" aria-hidden="true" tabindex="-1"></a>   <span class="fu">head</span>(.)</span>
+<span id="cb9-8"><a href="#cb9-8" aria-hidden="true" tabindex="-1"></a>}</span>
+<span id="cb9-9"><a href="#cb9-9" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt; Mean: 5.06493 Variance: 27.05389</span></span>
+<span id="cb9-10"><a href="#cb9-10" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt; [1]  2.477662 -3.999358  8.624820  5.322125  3.014306 10.204276</span></span></code></pre></div>
+<p>which could be written in more compact form as:</p>
+<div class="sourceCode" id="cb10"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb10-1"><a href="#cb10-1" aria-hidden="true" tabindex="-1"></a><span class="fu">rnorm</span>(<span class="dv">100</span>) <span class="sc">%&gt;%</span> <span class="st">`</span><span class="at">*</span><span class="st">`</span>(<span class="dv">5</span>) <span class="sc">%&gt;%</span> <span class="st">`</span><span class="at">+</span><span class="st">`</span>(<span class="dv">5</span>) <span class="sc">%&gt;%</span> </span>
+<span id="cb10-2"><a href="#cb10-2" aria-hidden="true" tabindex="-1"></a>{</span>
+<span id="cb10-3"><a href="#cb10-3" aria-hidden="true" tabindex="-1"></a>  <span class="fu">cat</span>(<span class="st">&quot;Mean:&quot;</span>, <span class="fu">mean</span>(.), <span class="st">&quot;Variance:&quot;</span>, <span class="fu">var</span>(.),  <span class="st">&quot;</span><span class="sc">\n</span><span class="st">&quot;</span>)</span>
+<span id="cb10-4"><a href="#cb10-4" aria-hidden="true" tabindex="-1"></a>  <span class="fu">head</span>(.)</span>
+<span id="cb10-5"><a href="#cb10-5" aria-hidden="true" tabindex="-1"></a>}</span></code></pre></div>
+<p>To see a list of the aliases, execute e.g.Â <code>?multiply_by</code>.</p>
+</div>
+<div id="development" class="section level1">
+<h1>Development</h1>
+<p>The <em>magrittr</em> package is also available in a development version at the GitHub development page: <a href="https://github.com/tidyverse/magrittr">github.com/tidyverse/magrittr</a>.</p>
+</div>
+
+
+
+<!-- code folding -->
+
+
+<!-- dynamically load mathjax for compatibility with self-contained -->
+<script>
+  (function () {
+    var script = document.createElement("script");
+    script.type = "text/javascript";
+    script.src  = "https://mathjax.rstudio.com/latest/MathJax.js?config=TeX-AMS-MML_HTMLorMML";
+    document.getElementsByTagName("head")[0].appendChild(script);
+  })();
+</script>
+
+</body>
+</html>
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/magrittr/doc/tradeoffs.R
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/magrittr/doc/tradeoffs.R	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/magrittr/doc/tradeoffs.R	(revision 3761)
@@ -0,0 +1,261 @@
+## ----setup, include = FALSE---------------------------------------------------
+knitr::opts_chunk$set(
+  collapse = TRUE,
+  comment = "#>",
+  eval = FALSE
+)
+
+library(rlang)
+fail <- function() "\u274c"
+pass <- function() "\u2705"
+
+## -----------------------------------------------------------------------------
+#  bar(foo(x))
+
+## -----------------------------------------------------------------------------
+#  local({
+#    . <- x
+#    . <- foo(.)
+#    bar(.)
+#  })
+
+## -----------------------------------------------------------------------------
+#  local({
+#    ...1 <- x
+#    ...2 <- foo(...1)
+#    bar(...2)
+#  })
+
+## -----------------------------------------------------------------------------
+#  with_dot_cleanup <- function(expr) {
+#    # Initialises `.` in the caller environment and resets it on exit.
+#    # (We use `:=` instead of `=` to avoid partial matching.)
+#    rlang::local_bindings(. := NULL, .env = parent.frame())
+#    expr
+#  }
+#  with_dot_cleanup({
+#    . <- x
+#    . <- foo(.)
+#    bar(.)
+#  })
+
+## -----------------------------------------------------------------------------
+#  mask1 <- new.env(parent = env)
+#  mask2 <- new.env(parent = env)
+#  
+#  delayedAssign(".", x, mask1)
+#  delayedAssign(".", foo(.), mask2)
+#  with(mask2, bar(.))
+
+## -----------------------------------------------------------------------------
+#  local({
+#    delayedAssign("...1", x)
+#    delayedAssign("...2", foo(...1))
+#    bar(...2)
+#  })
+
+## -----------------------------------------------------------------------------
+#  delayedAssign("...1", x)
+#  delayedAssign("...2", foo(.))
+#  bar(...2)
+
+## -----------------------------------------------------------------------------
+#  sample(10) %>% list(., .)
+#  
+#  # Becomes
+#  list(sample(10), sample(10))
+
+## -----------------------------------------------------------------------------
+#  sample(10) %>% foo(., .)
+#  foo(. <- sample(10), .)
+
+## ---- eval = TRUE-------------------------------------------------------------
+`%|>%` <- magrittr::pipe_nested
+
+## ---- eval = TRUE, error = TRUE-----------------------------------------------
+"foo" %|>% list(., .)
+
+## ---- eval = TRUE-------------------------------------------------------------
+{
+  stop("oh no") %|>% try(silent = TRUE)
+  "success"
+}
+
+## ---- eval = TRUE-------------------------------------------------------------
+factory <- function(x) function() x
+fn <- factory(TRUE)
+fn()
+
+## -----------------------------------------------------------------------------
+#  fn <- TRUE %|>% factory()
+#  fn()
+
+## -----------------------------------------------------------------------------
+#  faulty <- function() stop("tilt")
+#  f <- function(x) x + 1
+#  g <- function(x) x + 2
+#  h <- function(x) x + 3
+#  
+#  faulty() %|>% f() %|>% g() %|>% h()
+#  #> Error in faulty() : tilt
+#  
+#  traceback()
+#  #> 7: stop("tilt")
+#  #> 6: faulty()
+#  #> 5: f(faulty())
+#  #> 4: g(f(faulty()))
+#  #> 3: h(g(f(faulty())))
+#  #> 2: .External2(magrittr_pipe) at pipe.R#181
+#  #> 1: faulty() %|>% f() %|>% g() %|>% h()
+
+## ---- eval = TRUE-------------------------------------------------------------
+foo <- FALSE
+TRUE %|>% assign("foo", .)
+foo
+
+## ---- eval = TRUE-------------------------------------------------------------
+fn <- function() {
+  TRUE %|>% return()
+  FALSE
+}
+fn()
+
+## -----------------------------------------------------------------------------
+#  options(error = rlang::entrace)
+
+## -----------------------------------------------------------------------------
+#  foobar <- function(x) x %|>% quux()
+#  quux <- function(x) x %|>% stop()
+#  
+#  "tilt" %|>% foobar()
+#  #> Error in x %|>% stop() : tilt
+#  
+#  rlang::last_trace()
+#  #> <error/rlang_error>
+#  #> tilt
+#  #> Backtrace:
+#  #>     â–ˆ
+#  #>  1. â”œâ”€"tilt" %|>% foobar()
+#  #>  2. â””â”€global::foobar("tilt")
+#  #>  3.   â”œâ”€x %|>% quux()
+#  #>  4.   â””â”€global::quux(x)
+#  #>  5.     â””â”€x %|>% stop()
+
+## ---- eval = TRUE-------------------------------------------------------------
+`%!>%` <- magrittr::pipe_eager_lexical
+
+## ---- eval = TRUE-------------------------------------------------------------
+"foo" %!>% list(., .)
+
+## ---- eval = TRUE, error = TRUE-----------------------------------------------
+{
+  stop("oh no") %!>% try(silent = TRUE)
+  "success"
+}
+
+## ---- eval = TRUE-------------------------------------------------------------
+fn <- TRUE %!>% factory() %!>% { .() }
+fn()
+
+## ---- eval = TRUE, error = TRUE-----------------------------------------------
+fn <- TRUE %!>% factory()
+fn()
+
+## ---- eval = TRUE-------------------------------------------------------------
+. <- "wrong"
+fn <- TRUE %!>% factory()
+fn()
+
+## -----------------------------------------------------------------------------
+#  faulty <- function() stop("tilt")
+#  f <- function(x) x + 1
+#  g <- function(x) x + 2
+#  h <- function(x) x + 3
+#  
+#  faulty() %!>% f() %!>% g() %!>% h()
+#  #> Error in faulty() : tilt
+#  
+#  traceback()
+#  #> 4: stop("tilt")
+#  #> 3: faulty()
+#  #> 2: .External2(magrittr_pipe) at pipe.R#163
+#  #> 1: faulty() %!>% f() %!>% g() %!>% h()
+
+## ---- eval = TRUE-------------------------------------------------------------
+foo <- FALSE
+NA %!>% { foo <- TRUE; . }
+
+foo
+
+## ---- eval = TRUE-------------------------------------------------------------
+fn <- function() {
+  TRUE %!>% return()
+
+  FALSE
+}
+fn()
+
+## ---- eval = TRUE-------------------------------------------------------------
+`%?>%` <- magrittr::pipe_lazy_masking
+
+## ---- eval = TRUE-------------------------------------------------------------
+"foo" %?>% list(., .)
+
+## ---- eval = TRUE-------------------------------------------------------------
+{
+  stop("oh no") %?>% try(silent = TRUE)
+  "success"
+}
+
+## ---- eval = TRUE-------------------------------------------------------------
+fn <- TRUE %?>% factory()
+fn()
+
+## -----------------------------------------------------------------------------
+#  faulty <- function() stop("tilt")
+#  f <- function(x) x + 1
+#  g <- function(x) x + 2
+#  h <- function(x) x + 3
+#  
+#  faulty() %?>% f() %?>% g() %?>% h()
+#  #> Error in faulty() : tilt
+#  
+#  traceback()
+#  #> 7: stop("tilt")
+#  #> 6: faulty()
+#  #> 5: f(.)
+#  #> 4: g(.)
+#  #> 3: h(.)
+#  #> 2: .External2(magrittr_pipe) at pipe.R#174
+#  #> 1: faulty() %?>% f() %?>% g() %?>% h()
+
+## ---- eval = TRUE-------------------------------------------------------------
+foo <- FALSE
+TRUE %?>% assign("foo", .)
+foo
+
+## ---- eval = TRUE, error = TRUE-----------------------------------------------
+fn <- function() {
+  TRUE %?>% return()
+  FALSE
+}
+fn()
+
+## -----------------------------------------------------------------------------
+#  foobar <- function(x) x %?>% quux()
+#  quux <- function(x) x %?>% stop()
+#  
+#  "tilt" %?>% foobar()
+#  #> Error in x %?>% stop() : tilt
+#  
+#  rlang::last_trace()
+#  #> <error/rlang_error>
+#  #> tilt
+#  #> Backtrace:
+#  #>     â–ˆ
+#  #>  1. â”œâ”€"tilt" %?>% foobar()
+#  #>  2. â”œâ”€global::foobar(.)
+#  #>  3. â”‚ â””â”€x %?>% quux()
+#  #>  4. â””â”€global::quux(.)
+#  #>  5.   â””â”€x %?>% stop()
+
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/magrittr/doc/tradeoffs.Rmd
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/magrittr/doc/tradeoffs.Rmd	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/magrittr/doc/tradeoffs.Rmd	(revision 3761)
@@ -0,0 +1,544 @@
+---
+title: "Design tradeoffs"
+author:
+  - "Hadley Wickham"
+  - "Lionel Henry"
+output: rmarkdown::html_vignette
+vignette: >
+  %\VignetteIndexEntry{Design tradeoffs}
+  %\VignetteEngine{knitr::rmarkdown}
+  %\VignetteEncoding{UTF-8}
+---
+
+```{r setup, include = FALSE}
+knitr::opts_chunk$set(
+  collapse = TRUE,
+  comment = "#>",
+  eval = FALSE
+)
+
+library(rlang)
+fail <- function() "\u274c"
+pass <- function() "\u2705"
+```
+
+There are many different ways that magrittr could implement the pipe. The goal of this document is to elucidate the variations, and the various pros and cons of each approach. This document is primarily aimed at the magrittr developers (so we don't forget about important considerations), but will be of interest to anyone who wants to understand pipes better, or to create their own pipe that makes different tradeoffs
+
+
+## Code transformation
+
+There are three main options for how we might transform a pipeline in base R expressions. Here they are illustrated with `x %>% foo() %>% bar()`:
+
+-   **Nested**
+
+    ```{r}
+    bar(foo(x))
+    ```
+
+-   **Eager (mask)**, masking environment
+
+    This is essentially how `%>%` has been implemented prior to magrittr 2.0:
+
+    ```{r}
+    local({
+      . <- x
+      . <- foo(.)
+      bar(.)
+    })
+    ```
+
+-   **Eager (mask-num)**: masking environment, numbered placeholder
+
+    ```{r}
+    local({
+      ...1 <- x
+      ...2 <- foo(...1)
+      bar(...2)
+    })
+    ```
+
+-   **Eager (lexical)**: lexical environment
+
+    This variant assigns pipe expressions to the placeholder `.` in the current environment. This assignment is temporary: once the pipe has returned, the placeholder binding is reset to its previous state.
+
+    ```{r}
+    with_dot_cleanup <- function(expr) {
+      # Initialises `.` in the caller environment and resets it on exit.
+      # (We use `:=` instead of `=` to avoid partial matching.)
+      rlang::local_bindings(. := NULL, .env = parent.frame())
+      expr
+    }
+    with_dot_cleanup({
+      . <- x
+      . <- foo(.)
+      bar(.)
+    })
+    ```
+
+-   **Lazy (mask)**: masking environments
+
+    ```{r}
+    mask1 <- new.env(parent = env)
+    mask2 <- new.env(parent = env)
+
+    delayedAssign(".", x, mask1)
+    delayedAssign(".", foo(.), mask2)
+    with(mask2, bar(.))
+    ```
+
+-   **Lazy (mask-num)**: masking environment, numbered placeholder
+
+    ```{r}
+    local({
+      delayedAssign("...1", x)
+      delayedAssign("...2", foo(...1))
+      bar(...2)
+    })
+    ```
+
+-   **Lazy (lexical-num)**: lexical environment, numbered placeholder
+
+    ```{r}
+    delayedAssign("...1", x)
+    delayedAssign("...2", foo(.))
+    bar(...2)
+    ```
+
+
+We'll first explore the desired properties we might want a pipe to possess and then see how each of the three variants does.
+
+
+## Desired properties
+
+These are the properties that we might want a pipe to possess, roughly ordered from most important to least important.
+
+*   **Visibility**: the visibility of the final function in the pipe should be preserved. This is important so that pipes that end in a side-effect function (which generally returns its first argument invisibly) do not print.
+
+*   **Multiple placeholders**: each component of the pipe should only be evaluated once even when there are multiple placeholders, so that `sample(10) %>% cbind(., .)` yields two columns with the same value. Relatedly, `sample(10) %T>% print() %T>% print()` must print the same values twice.
+
+*   **Lazy evaluation**: steps of the pipe should only be evaluated when actually needed. This is a useful property as it means that pipes can handle code like `stop("!") %>% try()`, making pipes capable of capturing a wider range of R expressions.
+
+    On the other hand, it might have surprising effects. For instance if a function that suppresses warnings is added to the end of a pipeline, the suppression takes effect for the whole pipeline.
+
+*   **Persistence of piped values**: arguments are not necessarily evaluated right away by the piped function. Sometimes they are evaluated long after the pipeline has returned, for example when a function factory is piped. With persistent piped values, the constructed function can be called at any time:
+
+    ```r
+    factory <- function(x) function() x
+    fn <- NA %>% factory()
+    fn()
+    #> [1] NA
+    ```
+
+*   **Refcount neutrality**: the return value of the pipeline should have a reference count of 1 so it can be mutated in place in further manipulations.
+
+*   **Eager unbinding**: pipes are often used with large data objects, so intermediate objects in the pipeline should be unbound as soon as possible so they are available for garbage collection.
+
+*   **Progressive stack**: using the pipe should add as few entries to the call stack as possible, so that `traceback()` is maximally useful.
+
+*   **Lexical side effects**: side effects should occur in the current lexical environment. This way, `NA %>% { foo <- . }` assigns the piped value in the current environment and `NA %>% { return(.) }` returns from the function that contains the pipeline.
+
+*   **Continuous stack**: the pipe should not affect the chain of parent frames. This is important for tree representations of the call stack.
+
+It is possible to have proper visibility and a neutral impact on refcounts with all implementations by being a bit careful, so we'll only consider the other properties:
+
+
+|                       | Nested     | Eager<br>(mask) | Eager<br>(mask-num) | Eager<br>(lexical) | Lazy<br>(mask) | Lazy<br>(mask-num) | Lazy<br>(lexical-num) |
+|-----------------------|:----------:|:---------------:|:-------------------:|:------------------:|:--------------:|:------------------:|:---------------------:|
+| Multiple placeholders | `r fail()` | `r pass()`      | `r pass()`          | `r pass()`         | `r pass()`     | `r pass()`         | `r pass()`            |
+| Lazy evaluation       | `r pass()` | `r fail()`      | `r fail()`          | `r fail()`         | `r pass()`     | `r pass()`         | `r pass()`            |
+| Persistence           | `r pass()` | `r fail()`      | `r pass()`          | `r fail()`         | `r pass()`     | `r pass()`         | `r pass()`            |
+| Eager unbinding       | `r pass()` | `r pass()`      | `r fail()`          | `r pass()`         | `r pass()`     | `r fail()`         | `r fail()`            |
+| Progressive stack     | `r fail()` | `r pass()`      | `r pass()`          | `r pass()`         | `r fail()`     | `r fail()`         | `r fail()`            |
+| Lexical effects       | `r pass()` | `r fail()`      | `r fail()`          | `r pass()`         | `r fail()`     | `r fail()`         | `r pass()`            |
+| Continuous stack      | `r pass()` | `r fail()`      | `r fail()`          | `r pass()`         | `r fail()`     | `r fail()`         | `r pass()`            |
+
+
+### Implications of design decisions
+
+Some properties are a direct reflection of the high level design decisions.
+
+
+#### Placeholder binding
+
+The nested pipe does not assign piped expressions to a placeholder. All the other variants perform this assignment. This means that with a nested rewrite approach, it isn't possible to have multiple placeholders unless the piped expression is pasted multiple times. This would cause multiple evaluations with deleterious effects:
+
+```{r}
+sample(10) %>% list(., .)
+
+# Becomes
+list(sample(10), sample(10))
+```
+
+Assigning to the placeholder within an argument would preserve the nestedness and lazyness. However that wouldn't work properly because there's no guarantee that the first argument will be evaluated before the second argument.
+
+```{r}
+sample(10) %>% foo(., .)
+foo(. <- sample(10), .)
+```
+
+For these reasons, the nested pipe does not support multiple placeholders. By contrast, all the other variants assign the result of pipe expressions to the placeholder. There are variations in how the placeholder binding is created (lazily or eagerly, in a mask or in the current environment, with numbered symbols or with a unique symbol) but all these variants allow multiple placeholders.
+
+
+#### Masking environment
+
+Because the local variants of the pipe evaluate in a mask, they do not have lexical effects or a continuous stack. This is unlike the lexical variants that evaluate in the current environment.
+
+
+#### Laziness
+
+Unlike the lazy variants, all eager versions implementing the pipe with iterated evaluation do not pass the lazy evaluation criterion.
+
+Secondly, no lazy variant passes the progressive stack criterion. By construction, lazy evaluation requires pushing all the pipe expressions on the stack before evaluation starts. Conversely, all eager variants have a progressive stack.
+
+
+#### Numbered placeholders
+
+None of the variants that use numbered placeholders can unbind piped values eagerly. This is how they achieve persistence of these bindings.
+
+
+## Three implementations
+
+The GNU R team is considering implementing the nested approach in base R with a parse-time code transformation (just like `->` is transformed to `<-` by the parser).
+
+We have implemented three approaches in magrittr:
+
+- The nested pipe
+- The eager lexical pipe
+- The lazy masking pipe
+
+These approaches have complementary strengths and weaknesses.
+
+
+### Nested pipe
+
+```{r, eval = TRUE}
+`%|>%` <- magrittr::pipe_nested
+```
+
+#### Multiple placeholders `r fail()`
+
+The nested pipe does not bind expressions to a placeholder and so can't support multiple placeholders.
+
+```{r, eval = TRUE, error = TRUE}
+"foo" %|>% list(., .)
+```
+
+
+#### Lazy evaluation `r pass()`
+
+Because it relies on the usual rules of argument application, the nested pipe is lazy.
+
+```{r, eval = TRUE}
+{
+  stop("oh no") %|>% try(silent = TRUE)
+  "success"
+}
+```
+
+#### Persistence and eager unbinding `r pass()`
+
+The pipe expressions are binded as promises within the execution environment of each function. This environment persists as long as a promise holds onto it. Evaluating the promise discards the reference to the environment which becomes available for garbage collection.
+
+For instance, here is a function factory that creates a function. The constructed function returns the value supplied at the time of creation:
+
+```{r, eval = TRUE}
+factory <- function(x) function() x
+fn <- factory(TRUE)
+fn()
+```
+
+This does not cause any issue with the nested pipe:
+
+```{r}
+fn <- TRUE %|>% factory()
+fn()
+```
+
+#### Progressive stack `r fail()`
+
+Because the piped expressions are lazily evaluated, the whole pipeline is pushed on the stack before execution starts. This results in a more complex backtrace than necessary:
+
+```{r}
+faulty <- function() stop("tilt")
+f <- function(x) x + 1
+g <- function(x) x + 2
+h <- function(x) x + 3
+
+faulty() %|>% f() %|>% g() %|>% h()
+#> Error in faulty() : tilt
+
+traceback()
+#> 7: stop("tilt")
+#> 6: faulty()
+#> 5: f(faulty())
+#> 4: g(f(faulty()))
+#> 3: h(g(f(faulty())))
+#> 2: .External2(magrittr_pipe) at pipe.R#181
+#> 1: faulty() %|>% f() %|>% g() %|>% h()
+```
+
+Also note how the expressions in the backtrace look different from the actual code. This is because of the nested rewrite of the pipeline.
+
+
+#### Lexical effects `r pass()`
+
+This is a benefit of using the normal R rules of evaluation. Side effects occur in the correct environment:
+
+```{r, eval = TRUE}
+foo <- FALSE
+TRUE %|>% assign("foo", .)
+foo
+```
+
+Control flow has the correct behaviour:
+
+```{r, eval = TRUE}
+fn <- function() {
+  TRUE %|>% return()
+  FALSE
+}
+fn()
+```
+
+
+#### Continuous stack `r pass()`
+
+Because evaluation occurs in the current environment, the stack is continuous. Let's instrument errors with a structured backtrace to see what that means:
+
+```{r}
+options(error = rlang::entrace)
+```
+
+The tree representation of the backtrace correctly represents the hierarchy of execution frames:
+
+```{r}
+foobar <- function(x) x %|>% quux()
+quux <- function(x) x %|>% stop()
+
+"tilt" %|>% foobar()
+#> Error in x %|>% stop() : tilt
+
+rlang::last_trace()
+#> <error/rlang_error>
+#> tilt
+#> Backtrace:
+#>     â–ˆ
+#>  1. â”œâ”€"tilt" %|>% foobar()
+#>  2. â””â”€global::foobar("tilt")
+#>  3.   â”œâ”€x %|>% quux()
+#>  4.   â””â”€global::quux(x)
+#>  5.     â””â”€x %|>% stop()
+```
+
+
+### Eager lexical pipe
+
+```{r, eval = TRUE}
+`%!>%` <- magrittr::pipe_eager_lexical
+```
+
+#### Multiple placeholders `r pass()`
+
+Pipe expressions are eagerly assigned to the placeholder. This makes it possible to use the placeholder multiple times without causing multiple evaluations.
+
+```{r, eval = TRUE}
+"foo" %!>% list(., .)
+```
+
+
+#### Lazy evaluation `r fail()`
+
+Assignment forces eager evaluation of each step.
+
+```{r, eval = TRUE, error = TRUE}
+{
+  stop("oh no") %!>% try(silent = TRUE)
+  "success"
+}
+```
+
+#### Persistence: `r fail()`
+
+Because we're updating the value of `.` at each step, the piped expressions are not persistent. This has subtle effects when the piped expressions are not evaluated right away.
+
+With the eager pipe we get rather confusing results with the factory function if we try to call the constructed function in the middle of the pipeline. In the following snippet the placeholder `.` is binded to the constructed function itself rather than the initial value `TRUE`, by the time the function is called:
+
+```{r, eval = TRUE}
+fn <- TRUE %!>% factory() %!>% { .() }
+fn()
+```
+
+Also, since we're binding `.` in the current environment, we need to clean it up once the pipeline has returned. At that point, the placeholder no longer exists:
+
+```{r, eval = TRUE, error = TRUE}
+fn <- TRUE %!>% factory()
+fn()
+```
+
+Or it has been reset to its previous value, if any:
+
+```{r, eval = TRUE}
+. <- "wrong"
+fn <- TRUE %!>% factory()
+fn()
+```
+
+
+#### Eager unbinding: `r pass()`
+
+This is the flip side of updating the value of the placeholder at each step. The previous intermediary values can be collected right away.
+
+
+#### Progressive stack: `r pass()`
+
+Since pipe expressions are evaluated one by one as they come, only the relevant part of the pipeline is on the stack when an error is thrown:
+
+```{r}
+faulty <- function() stop("tilt")
+f <- function(x) x + 1
+g <- function(x) x + 2
+h <- function(x) x + 3
+
+faulty() %!>% f() %!>% g() %!>% h()
+#> Error in faulty() : tilt
+
+traceback()
+#> 4: stop("tilt")
+#> 3: faulty()
+#> 2: .External2(magrittr_pipe) at pipe.R#163
+#> 1: faulty() %!>% f() %!>% g() %!>% h()
+```
+
+
+#### Lexical effects and continuous stack: `r pass()`
+
+Evaluating in the current environment rather than in a mask produces the correct side effects:
+
+```{r, eval = TRUE}
+foo <- FALSE
+NA %!>% { foo <- TRUE; . }
+
+foo
+```
+
+```{r, eval = TRUE}
+fn <- function() {
+  TRUE %!>% return()
+
+  FALSE
+}
+fn()
+```
+
+
+### Lazy masking pipe
+
+```{r, eval = TRUE}
+`%?>%` <- magrittr::pipe_lazy_masking
+```
+
+#### Multiple placeholders `r pass()`
+
+Pipe expressions are lazily assigned to the placeholder. This makes it possible to use the placeholder multiple times without causing multiple evaluations.
+
+```{r, eval = TRUE}
+"foo" %?>% list(., .)
+```
+
+
+#### Lazy evaluation `r pass()`
+
+Arguments are assigned with `delayedAssign()` and lazily evaluated:
+
+```{r, eval = TRUE}
+{
+  stop("oh no") %?>% try(silent = TRUE)
+  "success"
+}
+```
+
+
+#### Persistence: `r pass()`
+
+The lazy masking pipe uses one masking environment per pipe expression. This allows persistence of the intermediary values and out of order evaluation. The factory function works as expected for instance:
+
+```{r, eval = TRUE}
+fn <- TRUE %?>% factory()
+fn()
+```
+
+
+#### Eager unbinding: `r pass()`
+
+Because we use one mask environment per pipe expression, the intermediary values can be collected as soon as they are no longer needed.
+
+
+#### Progressive stack: `r fail()`
+
+With a lazy pipe the whole pipeline is pushed onto the stack before evaluation.
+
+```{r}
+faulty <- function() stop("tilt")
+f <- function(x) x + 1
+g <- function(x) x + 2
+h <- function(x) x + 3
+
+faulty() %?>% f() %?>% g() %?>% h()
+#> Error in faulty() : tilt
+
+traceback()
+#> 7: stop("tilt")
+#> 6: faulty()
+#> 5: f(.)
+#> 4: g(.)
+#> 3: h(.)
+#> 2: .External2(magrittr_pipe) at pipe.R#174
+#> 1: faulty() %?>% f() %?>% g() %?>% h()
+```
+
+Note however how the backtrace is less cluttered than with the nested pipe approach, thanks to the placeholder.
+
+
+#### Lexical effects `r fail()`
+
+The lazy pipe evaluates in a mask. This causes lexical side effects to occur in the incorrect environment.
+
+```{r, eval = TRUE}
+foo <- FALSE
+TRUE %?>% assign("foo", .)
+foo
+```
+
+Stack-sensitive functions like `return()` function cannot find the proper frame environment:
+
+```{r, eval = TRUE, error = TRUE}
+fn <- function() {
+  TRUE %?>% return()
+  FALSE
+}
+fn()
+```
+
+
+#### Continuous stack `r fail()`
+
+The masking environment causes a discontinuous stack tree:
+
+```{r}
+foobar <- function(x) x %?>% quux()
+quux <- function(x) x %?>% stop()
+
+"tilt" %?>% foobar()
+#> Error in x %?>% stop() : tilt
+
+rlang::last_trace()
+#> <error/rlang_error>
+#> tilt
+#> Backtrace:
+#>     â–ˆ
+#>  1. â”œâ”€"tilt" %?>% foobar()
+#>  2. â”œâ”€global::foobar(.)
+#>  3. â”‚ â””â”€x %?>% quux()
+#>  4. â””â”€global::quux(.)
+#>  5.   â””â”€x %?>% stop()
+```
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/magrittr/doc/tradeoffs.html
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/magrittr/doc/tradeoffs.html	(revision 0)
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@@ -0,0 +1,635 @@
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20%3E%20span%2Eer%20%7B%20color%3A%20%23a61717%3B%20background%2Dcolor%3A%20%23e3d2d2%3B%20%7D%20%0A" type="text/css" />
+
+
+
+
+</head>
+
+<body>
+
+
+
+
+<h1 class="title toc-ignore">Design tradeoffs</h1>
+<h4 class="author">Hadley Wickham</h4>
+<h4 class="author">Lionel Henry</h4>
+
+
+
+<p>There are many different ways that magrittr could implement the pipe. The goal of this document is to elucidate the variations, and the various pros and cons of each approach. This document is primarily aimed at the magrittr developers (so we donâ€™t forget about important considerations), but will be of interest to anyone who wants to understand pipes better, or to create their own pipe that makes different tradeoffs</p>
+<div id="code-transformation" class="section level2">
+<h2>Code transformation</h2>
+<p>There are three main options for how we might transform a pipeline in base R expressions. Here they are illustrated with <code>x %&gt;% foo() %&gt;% bar()</code>:</p>
+<ul>
+<li><p><strong>Nested</strong></p>
+<div class="sourceCode" id="cb1"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb1-1"><a href="#cb1-1" aria-hidden="true" tabindex="-1"></a><span class="fu">bar</span>(<span class="fu">foo</span>(x))</span></code></pre></div></li>
+<li><p><strong>Eager (mask)</strong>, masking environment</p>
+<p>This is essentially how <code>%&gt;%</code> has been implemented prior to magrittr 2.0:</p>
+<div class="sourceCode" id="cb2"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb2-1"><a href="#cb2-1" aria-hidden="true" tabindex="-1"></a><span class="fu">local</span>({</span>
+<span id="cb2-2"><a href="#cb2-2" aria-hidden="true" tabindex="-1"></a>  . <span class="ot">&lt;-</span> x</span>
+<span id="cb2-3"><a href="#cb2-3" aria-hidden="true" tabindex="-1"></a>  . <span class="ot">&lt;-</span> <span class="fu">foo</span>(.)</span>
+<span id="cb2-4"><a href="#cb2-4" aria-hidden="true" tabindex="-1"></a>  <span class="fu">bar</span>(.)</span>
+<span id="cb2-5"><a href="#cb2-5" aria-hidden="true" tabindex="-1"></a>})</span></code></pre></div></li>
+<li><p><strong>Eager (mask-num)</strong>: masking environment, numbered placeholder</p>
+<div class="sourceCode" id="cb3"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb3-1"><a href="#cb3-1" aria-hidden="true" tabindex="-1"></a><span class="fu">local</span>({</span>
+<span id="cb3-2"><a href="#cb3-2" aria-hidden="true" tabindex="-1"></a>  ...<span class="dv">1</span> <span class="ot">&lt;-</span> x</span>
+<span id="cb3-3"><a href="#cb3-3" aria-hidden="true" tabindex="-1"></a>  ...<span class="dv">2</span> <span class="ot">&lt;-</span> <span class="fu">foo</span>(...<span class="dv">1</span>)</span>
+<span id="cb3-4"><a href="#cb3-4" aria-hidden="true" tabindex="-1"></a>  <span class="fu">bar</span>(...<span class="dv">2</span>)</span>
+<span id="cb3-5"><a href="#cb3-5" aria-hidden="true" tabindex="-1"></a>})</span></code></pre></div></li>
+<li><p><strong>Eager (lexical)</strong>: lexical environment</p>
+<p>This variant assigns pipe expressions to the placeholder <code>.</code> in the current environment. This assignment is temporary: once the pipe has returned, the placeholder binding is reset to its previous state.</p>
+<div class="sourceCode" id="cb4"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb4-1"><a href="#cb4-1" aria-hidden="true" tabindex="-1"></a>with_dot_cleanup <span class="ot">&lt;-</span> <span class="cf">function</span>(expr) {</span>
+<span id="cb4-2"><a href="#cb4-2" aria-hidden="true" tabindex="-1"></a>  <span class="co"># Initialises `.` in the caller environment and resets it on exit.</span></span>
+<span id="cb4-3"><a href="#cb4-3" aria-hidden="true" tabindex="-1"></a>  <span class="co"># (We use `:=` instead of `=` to avoid partial matching.)</span></span>
+<span id="cb4-4"><a href="#cb4-4" aria-hidden="true" tabindex="-1"></a>  rlang<span class="sc">::</span><span class="fu">local_bindings</span>(<span class="at">. :=</span> <span class="cn">NULL</span>, <span class="at">.env =</span> <span class="fu">parent.frame</span>())</span>
+<span id="cb4-5"><a href="#cb4-5" aria-hidden="true" tabindex="-1"></a>  expr</span>
+<span id="cb4-6"><a href="#cb4-6" aria-hidden="true" tabindex="-1"></a>}</span>
+<span id="cb4-7"><a href="#cb4-7" aria-hidden="true" tabindex="-1"></a><span class="fu">with_dot_cleanup</span>({</span>
+<span id="cb4-8"><a href="#cb4-8" aria-hidden="true" tabindex="-1"></a>  . <span class="ot">&lt;-</span> x</span>
+<span id="cb4-9"><a href="#cb4-9" aria-hidden="true" tabindex="-1"></a>  . <span class="ot">&lt;-</span> <span class="fu">foo</span>(.)</span>
+<span id="cb4-10"><a href="#cb4-10" aria-hidden="true" tabindex="-1"></a>  <span class="fu">bar</span>(.)</span>
+<span id="cb4-11"><a href="#cb4-11" aria-hidden="true" tabindex="-1"></a>})</span></code></pre></div></li>
+<li><p><strong>Lazy (mask)</strong>: masking environments</p>
+<div class="sourceCode" id="cb5"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb5-1"><a href="#cb5-1" aria-hidden="true" tabindex="-1"></a>mask1 <span class="ot">&lt;-</span> <span class="fu">new.env</span>(<span class="at">parent =</span> env)</span>
+<span id="cb5-2"><a href="#cb5-2" aria-hidden="true" tabindex="-1"></a>mask2 <span class="ot">&lt;-</span> <span class="fu">new.env</span>(<span class="at">parent =</span> env)</span>
+<span id="cb5-3"><a href="#cb5-3" aria-hidden="true" tabindex="-1"></a></span>
+<span id="cb5-4"><a href="#cb5-4" aria-hidden="true" tabindex="-1"></a><span class="fu">delayedAssign</span>(<span class="st">&quot;.&quot;</span>, x, mask1)</span>
+<span id="cb5-5"><a href="#cb5-5" aria-hidden="true" tabindex="-1"></a><span class="fu">delayedAssign</span>(<span class="st">&quot;.&quot;</span>, <span class="fu">foo</span>(.), mask2)</span>
+<span id="cb5-6"><a href="#cb5-6" aria-hidden="true" tabindex="-1"></a><span class="fu">with</span>(mask2, <span class="fu">bar</span>(.))</span></code></pre></div></li>
+<li><p><strong>Lazy (mask-num)</strong>: masking environment, numbered placeholder</p>
+<div class="sourceCode" id="cb6"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb6-1"><a href="#cb6-1" aria-hidden="true" tabindex="-1"></a><span class="fu">local</span>({</span>
+<span id="cb6-2"><a href="#cb6-2" aria-hidden="true" tabindex="-1"></a>  <span class="fu">delayedAssign</span>(<span class="st">&quot;...1&quot;</span>, x)</span>
+<span id="cb6-3"><a href="#cb6-3" aria-hidden="true" tabindex="-1"></a>  <span class="fu">delayedAssign</span>(<span class="st">&quot;...2&quot;</span>, <span class="fu">foo</span>(...<span class="dv">1</span>))</span>
+<span id="cb6-4"><a href="#cb6-4" aria-hidden="true" tabindex="-1"></a>  <span class="fu">bar</span>(...<span class="dv">2</span>)</span>
+<span id="cb6-5"><a href="#cb6-5" aria-hidden="true" tabindex="-1"></a>})</span></code></pre></div></li>
+<li><p><strong>Lazy (lexical-num)</strong>: lexical environment, numbered placeholder</p>
+<div class="sourceCode" id="cb7"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb7-1"><a href="#cb7-1" aria-hidden="true" tabindex="-1"></a><span class="fu">delayedAssign</span>(<span class="st">&quot;...1&quot;</span>, x)</span>
+<span id="cb7-2"><a href="#cb7-2" aria-hidden="true" tabindex="-1"></a><span class="fu">delayedAssign</span>(<span class="st">&quot;...2&quot;</span>, <span class="fu">foo</span>(.))</span>
+<span id="cb7-3"><a href="#cb7-3" aria-hidden="true" tabindex="-1"></a><span class="fu">bar</span>(...<span class="dv">2</span>)</span></code></pre></div></li>
+</ul>
+<p>Weâ€™ll first explore the desired properties we might want a pipe to possess and then see how each of the three variants does.</p>
+</div>
+<div id="desired-properties" class="section level2">
+<h2>Desired properties</h2>
+<p>These are the properties that we might want a pipe to possess, roughly ordered from most important to least important.</p>
+<ul>
+<li><p><strong>Visibility</strong>: the visibility of the final function in the pipe should be preserved. This is important so that pipes that end in a side-effect function (which generally returns its first argument invisibly) do not print.</p></li>
+<li><p><strong>Multiple placeholders</strong>: each component of the pipe should only be evaluated once even when there are multiple placeholders, so that <code>sample(10) %&gt;% cbind(., .)</code> yields two columns with the same value. Relatedly, <code>sample(10) %T&gt;% print() %T&gt;% print()</code> must print the same values twice.</p></li>
+<li><p><strong>Lazy evaluation</strong>: steps of the pipe should only be evaluated when actually needed. This is a useful property as it means that pipes can handle code like <code>stop(&quot;!&quot;) %&gt;% try()</code>, making pipes capable of capturing a wider range of R expressions.</p>
+<p>On the other hand, it might have surprising effects. For instance if a function that suppresses warnings is added to the end of a pipeline, the suppression takes effect for the whole pipeline.</p></li>
+<li><p><strong>Persistence of piped values</strong>: arguments are not necessarily evaluated right away by the piped function. Sometimes they are evaluated long after the pipeline has returned, for example when a function factory is piped. With persistent piped values, the constructed function can be called at any time:</p>
+<div class="sourceCode" id="cb8"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb8-1"><a href="#cb8-1" aria-hidden="true" tabindex="-1"></a>factory <span class="ot">&lt;-</span> <span class="cf">function</span>(x) <span class="cf">function</span>() x</span>
+<span id="cb8-2"><a href="#cb8-2" aria-hidden="true" tabindex="-1"></a>fn <span class="ot">&lt;-</span> <span class="cn">NA</span> <span class="sc">%&gt;%</span> <span class="fu">factory</span>()</span>
+<span id="cb8-3"><a href="#cb8-3" aria-hidden="true" tabindex="-1"></a><span class="fu">fn</span>()</span>
+<span id="cb8-4"><a href="#cb8-4" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt; [1] NA</span></span></code></pre></div></li>
+<li><p><strong>Refcount neutrality</strong>: the return value of the pipeline should have a reference count of 1 so it can be mutated in place in further manipulations.</p></li>
+<li><p><strong>Eager unbinding</strong>: pipes are often used with large data objects, so intermediate objects in the pipeline should be unbound as soon as possible so they are available for garbage collection.</p></li>
+<li><p><strong>Progressive stack</strong>: using the pipe should add as few entries to the call stack as possible, so that <code>traceback()</code> is maximally useful.</p></li>
+<li><p><strong>Lexical side effects</strong>: side effects should occur in the current lexical environment. This way, <code>NA %&gt;% { foo &lt;- . }</code> assigns the piped value in the current environment and <code>NA %&gt;% { return(.) }</code> returns from the function that contains the pipeline.</p></li>
+<li><p><strong>Continuous stack</strong>: the pipe should not affect the chain of parent frames. This is important for tree representations of the call stack.</p></li>
+</ul>
+<p>It is possible to have proper visibility and a neutral impact on refcounts with all implementations by being a bit careful, so weâ€™ll only consider the other properties:</p>
+<table style="width:100%;">
+<colgroup>
+<col width="15%" />
+<col width="7%" />
+<col width="11%" />
+<col width="13%" />
+<col width="13%" />
+<col width="10%" />
+<col width="13%" />
+<col width="15%" />
+</colgroup>
+<thead>
+<tr class="header">
+<th></th>
+<th align="center">Nested</th>
+<th align="center">Eager<br>(mask)</th>
+<th align="center">Eager<br>(mask-num)</th>
+<th align="center">Eager<br>(lexical)</th>
+<th align="center">Lazy<br>(mask)</th>
+<th align="center">Lazy<br>(mask-num)</th>
+<th align="center">Lazy<br>(lexical-num)</th>
+</tr>
+</thead>
+<tbody>
+<tr class="odd">
+<td>Multiple placeholders</td>
+<td align="center">â�Œ</td>
+<td align="center">âœ…</td>
+<td align="center">âœ…</td>
+<td align="center">âœ…</td>
+<td align="center">âœ…</td>
+<td align="center">âœ…</td>
+<td align="center">âœ…</td>
+</tr>
+<tr class="even">
+<td>Lazy evaluation</td>
+<td align="center">âœ…</td>
+<td align="center">â�Œ</td>
+<td align="center">â�Œ</td>
+<td align="center">â�Œ</td>
+<td align="center">âœ…</td>
+<td align="center">âœ…</td>
+<td align="center">âœ…</td>
+</tr>
+<tr class="odd">
+<td>Persistence</td>
+<td align="center">âœ…</td>
+<td align="center">â�Œ</td>
+<td align="center">âœ…</td>
+<td align="center">â�Œ</td>
+<td align="center">âœ…</td>
+<td align="center">âœ…</td>
+<td align="center">âœ…</td>
+</tr>
+<tr class="even">
+<td>Eager unbinding</td>
+<td align="center">âœ…</td>
+<td align="center">âœ…</td>
+<td align="center">â�Œ</td>
+<td align="center">âœ…</td>
+<td align="center">âœ…</td>
+<td align="center">â�Œ</td>
+<td align="center">â�Œ</td>
+</tr>
+<tr class="odd">
+<td>Progressive stack</td>
+<td align="center">â�Œ</td>
+<td align="center">âœ…</td>
+<td align="center">âœ…</td>
+<td align="center">âœ…</td>
+<td align="center">â�Œ</td>
+<td align="center">â�Œ</td>
+<td align="center">â�Œ</td>
+</tr>
+<tr class="even">
+<td>Lexical effects</td>
+<td align="center">âœ…</td>
+<td align="center">â�Œ</td>
+<td align="center">â�Œ</td>
+<td align="center">âœ…</td>
+<td align="center">â�Œ</td>
+<td align="center">â�Œ</td>
+<td align="center">âœ…</td>
+</tr>
+<tr class="odd">
+<td>Continuous stack</td>
+<td align="center">âœ…</td>
+<td align="center">â�Œ</td>
+<td align="center">â�Œ</td>
+<td align="center">âœ…</td>
+<td align="center">â�Œ</td>
+<td align="center">â�Œ</td>
+<td align="center">âœ…</td>
+</tr>
+</tbody>
+</table>
+<div id="implications-of-design-decisions" class="section level3">
+<h3>Implications of design decisions</h3>
+<p>Some properties are a direct reflection of the high level design decisions.</p>
+<div id="placeholder-binding" class="section level4">
+<h4>Placeholder binding</h4>
+<p>The nested pipe does not assign piped expressions to a placeholder. All the other variants perform this assignment. This means that with a nested rewrite approach, it isnâ€™t possible to have multiple placeholders unless the piped expression is pasted multiple times. This would cause multiple evaluations with deleterious effects:</p>
+<div class="sourceCode" id="cb9"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb9-1"><a href="#cb9-1" aria-hidden="true" tabindex="-1"></a><span class="fu">sample</span>(<span class="dv">10</span>) <span class="sc">%&gt;%</span> <span class="fu">list</span>(., .)</span>
+<span id="cb9-2"><a href="#cb9-2" aria-hidden="true" tabindex="-1"></a></span>
+<span id="cb9-3"><a href="#cb9-3" aria-hidden="true" tabindex="-1"></a><span class="co"># Becomes</span></span>
+<span id="cb9-4"><a href="#cb9-4" aria-hidden="true" tabindex="-1"></a><span class="fu">list</span>(<span class="fu">sample</span>(<span class="dv">10</span>), <span class="fu">sample</span>(<span class="dv">10</span>))</span></code></pre></div>
+<p>Assigning to the placeholder within an argument would preserve the nestedness and lazyness. However that wouldnâ€™t work properly because thereâ€™s no guarantee that the first argument will be evaluated before the second argument.</p>
+<div class="sourceCode" id="cb10"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb10-1"><a href="#cb10-1" aria-hidden="true" tabindex="-1"></a><span class="fu">sample</span>(<span class="dv">10</span>) <span class="sc">%&gt;%</span> <span class="fu">foo</span>(., .)</span>
+<span id="cb10-2"><a href="#cb10-2" aria-hidden="true" tabindex="-1"></a><span class="fu">foo</span>(. <span class="ot">&lt;-</span> <span class="fu">sample</span>(<span class="dv">10</span>), .)</span></code></pre></div>
+<p>For these reasons, the nested pipe does not support multiple placeholders. By contrast, all the other variants assign the result of pipe expressions to the placeholder. There are variations in how the placeholder binding is created (lazily or eagerly, in a mask or in the current environment, with numbered symbols or with a unique symbol) but all these variants allow multiple placeholders.</p>
+</div>
+<div id="masking-environment" class="section level4">
+<h4>Masking environment</h4>
+<p>Because the local variants of the pipe evaluate in a mask, they do not have lexical effects or a continuous stack. This is unlike the lexical variants that evaluate in the current environment.</p>
+</div>
+<div id="laziness" class="section level4">
+<h4>Laziness</h4>
+<p>Unlike the lazy variants, all eager versions implementing the pipe with iterated evaluation do not pass the lazy evaluation criterion.</p>
+<p>Secondly, no lazy variant passes the progressive stack criterion. By construction, lazy evaluation requires pushing all the pipe expressions on the stack before evaluation starts. Conversely, all eager variants have a progressive stack.</p>
+</div>
+<div id="numbered-placeholders" class="section level4">
+<h4>Numbered placeholders</h4>
+<p>None of the variants that use numbered placeholders can unbind piped values eagerly. This is how they achieve persistence of these bindings.</p>
+</div>
+</div>
+</div>
+<div id="three-implementations" class="section level2">
+<h2>Three implementations</h2>
+<p>The GNU R team is considering implementing the nested approach in base R with a parse-time code transformation (just like <code>-&gt;</code> is transformed to <code>&lt;-</code> by the parser).</p>
+<p>We have implemented three approaches in magrittr:</p>
+<ul>
+<li>The nested pipe</li>
+<li>The eager lexical pipe</li>
+<li>The lazy masking pipe</li>
+</ul>
+<p>These approaches have complementary strengths and weaknesses.</p>
+<div id="nested-pipe" class="section level3">
+<h3>Nested pipe</h3>
+<div class="sourceCode" id="cb11"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb11-1"><a href="#cb11-1" aria-hidden="true" tabindex="-1"></a><span class="st">`</span><span class="at">%|&gt;%</span><span class="st">`</span> <span class="ot">&lt;-</span> magrittr<span class="sc">::</span>pipe_nested</span></code></pre></div>
+<div id="multiple-placeholders" class="section level4">
+<h4>Multiple placeholders â�Œ</h4>
+<p>The nested pipe does not bind expressions to a placeholder and so canâ€™t support multiple placeholders.</p>
+<div class="sourceCode" id="cb12"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb12-1"><a href="#cb12-1" aria-hidden="true" tabindex="-1"></a><span class="st">&quot;foo&quot;</span> <span class="sc">%|&gt;%</span> <span class="fu">list</span>(., .)</span>
+<span id="cb12-2"><a href="#cb12-2" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt; Error: Can&#39;t use multiple placeholders.</span></span></code></pre></div>
+</div>
+<div id="lazy-evaluation" class="section level4">
+<h4>Lazy evaluation âœ…</h4>
+<p>Because it relies on the usual rules of argument application, the nested pipe is lazy.</p>
+<div class="sourceCode" id="cb13"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb13-1"><a href="#cb13-1" aria-hidden="true" tabindex="-1"></a>{</span>
+<span id="cb13-2"><a href="#cb13-2" aria-hidden="true" tabindex="-1"></a>  <span class="fu">stop</span>(<span class="st">&quot;oh no&quot;</span>) <span class="sc">%|&gt;%</span> <span class="fu">try</span>(<span class="at">silent =</span> <span class="cn">TRUE</span>)</span>
+<span id="cb13-3"><a href="#cb13-3" aria-hidden="true" tabindex="-1"></a>  <span class="st">&quot;success&quot;</span></span>
+<span id="cb13-4"><a href="#cb13-4" aria-hidden="true" tabindex="-1"></a>}</span>
+<span id="cb13-5"><a href="#cb13-5" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt; [1] &quot;success&quot;</span></span></code></pre></div>
+</div>
+<div id="persistence-and-eager-unbinding" class="section level4">
+<h4>Persistence and eager unbinding âœ…</h4>
+<p>The pipe expressions are binded as promises within the execution environment of each function. This environment persists as long as a promise holds onto it. Evaluating the promise discards the reference to the environment which becomes available for garbage collection.</p>
+<p>For instance, here is a function factory that creates a function. The constructed function returns the value supplied at the time of creation:</p>
+<div class="sourceCode" id="cb14"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb14-1"><a href="#cb14-1" aria-hidden="true" tabindex="-1"></a>factory <span class="ot">&lt;-</span> <span class="cf">function</span>(x) <span class="cf">function</span>() x</span>
+<span id="cb14-2"><a href="#cb14-2" aria-hidden="true" tabindex="-1"></a>fn <span class="ot">&lt;-</span> <span class="fu">factory</span>(<span class="cn">TRUE</span>)</span>
+<span id="cb14-3"><a href="#cb14-3" aria-hidden="true" tabindex="-1"></a><span class="fu">fn</span>()</span>
+<span id="cb14-4"><a href="#cb14-4" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt; [1] TRUE</span></span></code></pre></div>
+<p>This does not cause any issue with the nested pipe:</p>
+<div class="sourceCode" id="cb15"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb15-1"><a href="#cb15-1" aria-hidden="true" tabindex="-1"></a>fn <span class="ot">&lt;-</span> <span class="cn">TRUE</span> <span class="sc">%|&gt;%</span> <span class="fu">factory</span>()</span>
+<span id="cb15-2"><a href="#cb15-2" aria-hidden="true" tabindex="-1"></a><span class="fu">fn</span>()</span></code></pre></div>
+</div>
+<div id="progressive-stack" class="section level4">
+<h4>Progressive stack â�Œ</h4>
+<p>Because the piped expressions are lazily evaluated, the whole pipeline is pushed on the stack before execution starts. This results in a more complex backtrace than necessary:</p>
+<div class="sourceCode" id="cb16"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb16-1"><a href="#cb16-1" aria-hidden="true" tabindex="-1"></a>faulty <span class="ot">&lt;-</span> <span class="cf">function</span>() <span class="fu">stop</span>(<span class="st">&quot;tilt&quot;</span>)</span>
+<span id="cb16-2"><a href="#cb16-2" aria-hidden="true" tabindex="-1"></a>f <span class="ot">&lt;-</span> <span class="cf">function</span>(x) x <span class="sc">+</span> <span class="dv">1</span></span>
+<span id="cb16-3"><a href="#cb16-3" aria-hidden="true" tabindex="-1"></a>g <span class="ot">&lt;-</span> <span class="cf">function</span>(x) x <span class="sc">+</span> <span class="dv">2</span></span>
+<span id="cb16-4"><a href="#cb16-4" aria-hidden="true" tabindex="-1"></a>h <span class="ot">&lt;-</span> <span class="cf">function</span>(x) x <span class="sc">+</span> <span class="dv">3</span></span>
+<span id="cb16-5"><a href="#cb16-5" aria-hidden="true" tabindex="-1"></a></span>
+<span id="cb16-6"><a href="#cb16-6" aria-hidden="true" tabindex="-1"></a><span class="fu">faulty</span>() <span class="sc">%|&gt;%</span> <span class="fu">f</span>() <span class="sc">%|&gt;%</span> <span class="fu">g</span>() <span class="sc">%|&gt;%</span> <span class="fu">h</span>()</span>
+<span id="cb16-7"><a href="#cb16-7" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt; Error in faulty() : tilt</span></span>
+<span id="cb16-8"><a href="#cb16-8" aria-hidden="true" tabindex="-1"></a></span>
+<span id="cb16-9"><a href="#cb16-9" aria-hidden="true" tabindex="-1"></a><span class="fu">traceback</span>()</span>
+<span id="cb16-10"><a href="#cb16-10" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt; 7: stop(&quot;tilt&quot;)</span></span>
+<span id="cb16-11"><a href="#cb16-11" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt; 6: faulty()</span></span>
+<span id="cb16-12"><a href="#cb16-12" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt; 5: f(faulty())</span></span>
+<span id="cb16-13"><a href="#cb16-13" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt; 4: g(f(faulty()))</span></span>
+<span id="cb16-14"><a href="#cb16-14" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt; 3: h(g(f(faulty())))</span></span>
+<span id="cb16-15"><a href="#cb16-15" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt; 2: .External2(magrittr_pipe) at pipe.R#181</span></span>
+<span id="cb16-16"><a href="#cb16-16" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt; 1: faulty() %|&gt;% f() %|&gt;% g() %|&gt;% h()</span></span></code></pre></div>
+<p>Also note how the expressions in the backtrace look different from the actual code. This is because of the nested rewrite of the pipeline.</p>
+</div>
+<div id="lexical-effects" class="section level4">
+<h4>Lexical effects âœ…</h4>
+<p>This is a benefit of using the normal R rules of evaluation. Side effects occur in the correct environment:</p>
+<div class="sourceCode" id="cb17"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb17-1"><a href="#cb17-1" aria-hidden="true" tabindex="-1"></a>foo <span class="ot">&lt;-</span> <span class="cn">FALSE</span></span>
+<span id="cb17-2"><a href="#cb17-2" aria-hidden="true" tabindex="-1"></a><span class="cn">TRUE</span> <span class="sc">%|&gt;%</span> <span class="fu">assign</span>(<span class="st">&quot;foo&quot;</span>, .)</span>
+<span id="cb17-3"><a href="#cb17-3" aria-hidden="true" tabindex="-1"></a>foo</span>
+<span id="cb17-4"><a href="#cb17-4" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt; [1] TRUE</span></span></code></pre></div>
+<p>Control flow has the correct behaviour:</p>
+<div class="sourceCode" id="cb18"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb18-1"><a href="#cb18-1" aria-hidden="true" tabindex="-1"></a>fn <span class="ot">&lt;-</span> <span class="cf">function</span>() {</span>
+<span id="cb18-2"><a href="#cb18-2" aria-hidden="true" tabindex="-1"></a>  <span class="cn">TRUE</span> <span class="sc">%|&gt;%</span> <span class="fu">return</span>()</span>
+<span id="cb18-3"><a href="#cb18-3" aria-hidden="true" tabindex="-1"></a>  <span class="cn">FALSE</span></span>
+<span id="cb18-4"><a href="#cb18-4" aria-hidden="true" tabindex="-1"></a>}</span>
+<span id="cb18-5"><a href="#cb18-5" aria-hidden="true" tabindex="-1"></a><span class="fu">fn</span>()</span>
+<span id="cb18-6"><a href="#cb18-6" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt; [1] TRUE</span></span></code></pre></div>
+</div>
+<div id="continuous-stack" class="section level4">
+<h4>Continuous stack âœ…</h4>
+<p>Because evaluation occurs in the current environment, the stack is continuous. Letâ€™s instrument errors with a structured backtrace to see what that means:</p>
+<div class="sourceCode" id="cb19"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb19-1"><a href="#cb19-1" aria-hidden="true" tabindex="-1"></a><span class="fu">options</span>(<span class="at">error =</span> rlang<span class="sc">::</span>entrace)</span></code></pre></div>
+<p>The tree representation of the backtrace correctly represents the hierarchy of execution frames:</p>
+<div class="sourceCode" id="cb20"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb20-1"><a href="#cb20-1" aria-hidden="true" tabindex="-1"></a>foobar <span class="ot">&lt;-</span> <span class="cf">function</span>(x) x <span class="sc">%|&gt;%</span> <span class="fu">quux</span>()</span>
+<span id="cb20-2"><a href="#cb20-2" aria-hidden="true" tabindex="-1"></a>quux <span class="ot">&lt;-</span> <span class="cf">function</span>(x) x <span class="sc">%|&gt;%</span> <span class="fu">stop</span>()</span>
+<span id="cb20-3"><a href="#cb20-3" aria-hidden="true" tabindex="-1"></a></span>
+<span id="cb20-4"><a href="#cb20-4" aria-hidden="true" tabindex="-1"></a><span class="st">&quot;tilt&quot;</span> <span class="sc">%|&gt;%</span> <span class="fu">foobar</span>()</span>
+<span id="cb20-5"><a href="#cb20-5" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt; Error in x %|&gt;% stop() : tilt</span></span>
+<span id="cb20-6"><a href="#cb20-6" aria-hidden="true" tabindex="-1"></a></span>
+<span id="cb20-7"><a href="#cb20-7" aria-hidden="true" tabindex="-1"></a>rlang<span class="sc">::</span><span class="fu">last_trace</span>()</span>
+<span id="cb20-8"><a href="#cb20-8" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt; &lt;error/rlang_error&gt;</span></span>
+<span id="cb20-9"><a href="#cb20-9" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt; tilt</span></span>
+<span id="cb20-10"><a href="#cb20-10" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt; Backtrace:</span></span>
+<span id="cb20-11"><a href="#cb20-11" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt;     â–ˆ</span></span>
+<span id="cb20-12"><a href="#cb20-12" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt;  1. â”œâ”€&quot;tilt&quot; %|&gt;% foobar()</span></span>
+<span id="cb20-13"><a href="#cb20-13" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt;  2. â””â”€global::foobar(&quot;tilt&quot;)</span></span>
+<span id="cb20-14"><a href="#cb20-14" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt;  3.   â”œâ”€x %|&gt;% quux()</span></span>
+<span id="cb20-15"><a href="#cb20-15" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt;  4.   â””â”€global::quux(x)</span></span>
+<span id="cb20-16"><a href="#cb20-16" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt;  5.     â””â”€x %|&gt;% stop()</span></span></code></pre></div>
+</div>
+</div>
+<div id="eager-lexical-pipe" class="section level3">
+<h3>Eager lexical pipe</h3>
+<div class="sourceCode" id="cb21"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb21-1"><a href="#cb21-1" aria-hidden="true" tabindex="-1"></a><span class="st">`</span><span class="at">%!&gt;%</span><span class="st">`</span> <span class="ot">&lt;-</span> magrittr<span class="sc">::</span>pipe_eager_lexical</span></code></pre></div>
+<div id="multiple-placeholders-1" class="section level4">
+<h4>Multiple placeholders âœ…</h4>
+<p>Pipe expressions are eagerly assigned to the placeholder. This makes it possible to use the placeholder multiple times without causing multiple evaluations.</p>
+<div class="sourceCode" id="cb22"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb22-1"><a href="#cb22-1" aria-hidden="true" tabindex="-1"></a><span class="st">&quot;foo&quot;</span> <span class="sc">%!&gt;%</span> <span class="fu">list</span>(., .)</span>
+<span id="cb22-2"><a href="#cb22-2" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt; [[1]]</span></span>
+<span id="cb22-3"><a href="#cb22-3" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt; [1] &quot;foo&quot;</span></span>
+<span id="cb22-4"><a href="#cb22-4" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt; </span></span>
+<span id="cb22-5"><a href="#cb22-5" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt; [[2]]</span></span>
+<span id="cb22-6"><a href="#cb22-6" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt; [1] &quot;foo&quot;</span></span></code></pre></div>
+</div>
+<div id="lazy-evaluation-1" class="section level4">
+<h4>Lazy evaluation â�Œ</h4>
+<p>Assignment forces eager evaluation of each step.</p>
+<div class="sourceCode" id="cb23"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb23-1"><a href="#cb23-1" aria-hidden="true" tabindex="-1"></a>{</span>
+<span id="cb23-2"><a href="#cb23-2" aria-hidden="true" tabindex="-1"></a>  <span class="fu">stop</span>(<span class="st">&quot;oh no&quot;</span>) <span class="sc">%!&gt;%</span> <span class="fu">try</span>(<span class="at">silent =</span> <span class="cn">TRUE</span>)</span>
+<span id="cb23-3"><a href="#cb23-3" aria-hidden="true" tabindex="-1"></a>  <span class="st">&quot;success&quot;</span></span>
+<span id="cb23-4"><a href="#cb23-4" aria-hidden="true" tabindex="-1"></a>}</span>
+<span id="cb23-5"><a href="#cb23-5" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt; Error in stop(&quot;oh no&quot;) %!&gt;% try(silent = TRUE): oh no</span></span></code></pre></div>
+</div>
+<div id="persistence" class="section level4">
+<h4>Persistence: â�Œ</h4>
+<p>Because weâ€™re updating the value of <code>.</code> at each step, the piped expressions are not persistent. This has subtle effects when the piped expressions are not evaluated right away.</p>
+<p>With the eager pipe we get rather confusing results with the factory function if we try to call the constructed function in the middle of the pipeline. In the following snippet the placeholder <code>.</code> is binded to the constructed function itself rather than the initial value <code>TRUE</code>, by the time the function is called:</p>
+<div class="sourceCode" id="cb24"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb24-1"><a href="#cb24-1" aria-hidden="true" tabindex="-1"></a>fn <span class="ot">&lt;-</span> <span class="cn">TRUE</span> <span class="sc">%!&gt;%</span> <span class="fu">factory</span>() <span class="sc">%!&gt;%</span> { .() }</span>
+<span id="cb24-2"><a href="#cb24-2" aria-hidden="true" tabindex="-1"></a><span class="fu">fn</span>()</span>
+<span id="cb24-3"><a href="#cb24-3" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt; function() x</span></span>
+<span id="cb24-4"><a href="#cb24-4" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt; &lt;bytecode: 0x11d1b6758&gt;</span></span>
+<span id="cb24-5"><a href="#cb24-5" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt; &lt;environment: 0x11da6d628&gt;</span></span></code></pre></div>
+<p>Also, since weâ€™re binding <code>.</code> in the current environment, we need to clean it up once the pipeline has returned. At that point, the placeholder no longer exists:</p>
+<div class="sourceCode" id="cb25"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb25-1"><a href="#cb25-1" aria-hidden="true" tabindex="-1"></a>fn <span class="ot">&lt;-</span> <span class="cn">TRUE</span> <span class="sc">%!&gt;%</span> <span class="fu">factory</span>()</span>
+<span id="cb25-2"><a href="#cb25-2" aria-hidden="true" tabindex="-1"></a><span class="fu">fn</span>()</span>
+<span id="cb25-3"><a href="#cb25-3" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt; Error in fn(): object &#39;.&#39; not found</span></span></code></pre></div>
+<p>Or it has been reset to its previous value, if any:</p>
+<div class="sourceCode" id="cb26"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb26-1"><a href="#cb26-1" aria-hidden="true" tabindex="-1"></a>. <span class="ot">&lt;-</span> <span class="st">&quot;wrong&quot;</span></span>
+<span id="cb26-2"><a href="#cb26-2" aria-hidden="true" tabindex="-1"></a>fn <span class="ot">&lt;-</span> <span class="cn">TRUE</span> <span class="sc">%!&gt;%</span> <span class="fu">factory</span>()</span>
+<span id="cb26-3"><a href="#cb26-3" aria-hidden="true" tabindex="-1"></a><span class="fu">fn</span>()</span>
+<span id="cb26-4"><a href="#cb26-4" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt; [1] &quot;wrong&quot;</span></span></code></pre></div>
+</div>
+<div id="eager-unbinding" class="section level4">
+<h4>Eager unbinding: âœ…</h4>
+<p>This is the flip side of updating the value of the placeholder at each step. The previous intermediary values can be collected right away.</p>
+</div>
+<div id="progressive-stack-1" class="section level4">
+<h4>Progressive stack: âœ…</h4>
+<p>Since pipe expressions are evaluated one by one as they come, only the relevant part of the pipeline is on the stack when an error is thrown:</p>
+<div class="sourceCode" id="cb27"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb27-1"><a href="#cb27-1" aria-hidden="true" tabindex="-1"></a>faulty <span class="ot">&lt;-</span> <span class="cf">function</span>() <span class="fu">stop</span>(<span class="st">&quot;tilt&quot;</span>)</span>
+<span id="cb27-2"><a href="#cb27-2" aria-hidden="true" tabindex="-1"></a>f <span class="ot">&lt;-</span> <span class="cf">function</span>(x) x <span class="sc">+</span> <span class="dv">1</span></span>
+<span id="cb27-3"><a href="#cb27-3" aria-hidden="true" tabindex="-1"></a>g <span class="ot">&lt;-</span> <span class="cf">function</span>(x) x <span class="sc">+</span> <span class="dv">2</span></span>
+<span id="cb27-4"><a href="#cb27-4" aria-hidden="true" tabindex="-1"></a>h <span class="ot">&lt;-</span> <span class="cf">function</span>(x) x <span class="sc">+</span> <span class="dv">3</span></span>
+<span id="cb27-5"><a href="#cb27-5" aria-hidden="true" tabindex="-1"></a></span>
+<span id="cb27-6"><a href="#cb27-6" aria-hidden="true" tabindex="-1"></a><span class="fu">faulty</span>() <span class="sc">%!&gt;%</span> <span class="fu">f</span>() <span class="sc">%!&gt;%</span> <span class="fu">g</span>() <span class="sc">%!&gt;%</span> <span class="fu">h</span>()</span>
+<span id="cb27-7"><a href="#cb27-7" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt; Error in faulty() : tilt</span></span>
+<span id="cb27-8"><a href="#cb27-8" aria-hidden="true" tabindex="-1"></a></span>
+<span id="cb27-9"><a href="#cb27-9" aria-hidden="true" tabindex="-1"></a><span class="fu">traceback</span>()</span>
+<span id="cb27-10"><a href="#cb27-10" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt; 4: stop(&quot;tilt&quot;)</span></span>
+<span id="cb27-11"><a href="#cb27-11" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt; 3: faulty()</span></span>
+<span id="cb27-12"><a href="#cb27-12" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt; 2: .External2(magrittr_pipe) at pipe.R#163</span></span>
+<span id="cb27-13"><a href="#cb27-13" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt; 1: faulty() %!&gt;% f() %!&gt;% g() %!&gt;% h()</span></span></code></pre></div>
+</div>
+<div id="lexical-effects-and-continuous-stack" class="section level4">
+<h4>Lexical effects and continuous stack: âœ…</h4>
+<p>Evaluating in the current environment rather than in a mask produces the correct side effects:</p>
+<div class="sourceCode" id="cb28"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb28-1"><a href="#cb28-1" aria-hidden="true" tabindex="-1"></a>foo <span class="ot">&lt;-</span> <span class="cn">FALSE</span></span>
+<span id="cb28-2"><a href="#cb28-2" aria-hidden="true" tabindex="-1"></a><span class="cn">NA</span> <span class="sc">%!&gt;%</span> { foo <span class="ot">&lt;-</span> <span class="cn">TRUE</span>; . }</span>
+<span id="cb28-3"><a href="#cb28-3" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt; [1] NA</span></span>
+<span id="cb28-4"><a href="#cb28-4" aria-hidden="true" tabindex="-1"></a></span>
+<span id="cb28-5"><a href="#cb28-5" aria-hidden="true" tabindex="-1"></a>foo</span>
+<span id="cb28-6"><a href="#cb28-6" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt; [1] TRUE</span></span></code></pre></div>
+<div class="sourceCode" id="cb29"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb29-1"><a href="#cb29-1" aria-hidden="true" tabindex="-1"></a>fn <span class="ot">&lt;-</span> <span class="cf">function</span>() {</span>
+<span id="cb29-2"><a href="#cb29-2" aria-hidden="true" tabindex="-1"></a>  <span class="cn">TRUE</span> <span class="sc">%!&gt;%</span> <span class="fu">return</span>()</span>
+<span id="cb29-3"><a href="#cb29-3" aria-hidden="true" tabindex="-1"></a></span>
+<span id="cb29-4"><a href="#cb29-4" aria-hidden="true" tabindex="-1"></a>  <span class="cn">FALSE</span></span>
+<span id="cb29-5"><a href="#cb29-5" aria-hidden="true" tabindex="-1"></a>}</span>
+<span id="cb29-6"><a href="#cb29-6" aria-hidden="true" tabindex="-1"></a><span class="fu">fn</span>()</span>
+<span id="cb29-7"><a href="#cb29-7" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt; [1] TRUE</span></span></code></pre></div>
+</div>
+</div>
+<div id="lazy-masking-pipe" class="section level3">
+<h3>Lazy masking pipe</h3>
+<div class="sourceCode" id="cb30"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb30-1"><a href="#cb30-1" aria-hidden="true" tabindex="-1"></a><span class="st">`</span><span class="at">%?&gt;%</span><span class="st">`</span> <span class="ot">&lt;-</span> magrittr<span class="sc">::</span>pipe_lazy_masking</span></code></pre></div>
+<div id="multiple-placeholders-2" class="section level4">
+<h4>Multiple placeholders âœ…</h4>
+<p>Pipe expressions are lazily assigned to the placeholder. This makes it possible to use the placeholder multiple times without causing multiple evaluations.</p>
+<div class="sourceCode" id="cb31"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb31-1"><a href="#cb31-1" aria-hidden="true" tabindex="-1"></a><span class="st">&quot;foo&quot;</span> <span class="sc">%?&gt;%</span> <span class="fu">list</span>(., .)</span>
+<span id="cb31-2"><a href="#cb31-2" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt; [[1]]</span></span>
+<span id="cb31-3"><a href="#cb31-3" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt; [1] &quot;foo&quot;</span></span>
+<span id="cb31-4"><a href="#cb31-4" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt; </span></span>
+<span id="cb31-5"><a href="#cb31-5" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt; [[2]]</span></span>
+<span id="cb31-6"><a href="#cb31-6" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt; [1] &quot;foo&quot;</span></span></code></pre></div>
+</div>
+<div id="lazy-evaluation-2" class="section level4">
+<h4>Lazy evaluation âœ…</h4>
+<p>Arguments are assigned with <code>delayedAssign()</code> and lazily evaluated:</p>
+<div class="sourceCode" id="cb32"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb32-1"><a href="#cb32-1" aria-hidden="true" tabindex="-1"></a>{</span>
+<span id="cb32-2"><a href="#cb32-2" aria-hidden="true" tabindex="-1"></a>  <span class="fu">stop</span>(<span class="st">&quot;oh no&quot;</span>) <span class="sc">%?&gt;%</span> <span class="fu">try</span>(<span class="at">silent =</span> <span class="cn">TRUE</span>)</span>
+<span id="cb32-3"><a href="#cb32-3" aria-hidden="true" tabindex="-1"></a>  <span class="st">&quot;success&quot;</span></span>
+<span id="cb32-4"><a href="#cb32-4" aria-hidden="true" tabindex="-1"></a>}</span>
+<span id="cb32-5"><a href="#cb32-5" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt; [1] &quot;success&quot;</span></span></code></pre></div>
+</div>
+<div id="persistence-1" class="section level4">
+<h4>Persistence: âœ…</h4>
+<p>The lazy masking pipe uses one masking environment per pipe expression. This allows persistence of the intermediary values and out of order evaluation. The factory function works as expected for instance:</p>
+<div class="sourceCode" id="cb33"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb33-1"><a href="#cb33-1" aria-hidden="true" tabindex="-1"></a>fn <span class="ot">&lt;-</span> <span class="cn">TRUE</span> <span class="sc">%?&gt;%</span> <span class="fu">factory</span>()</span>
+<span id="cb33-2"><a href="#cb33-2" aria-hidden="true" tabindex="-1"></a><span class="fu">fn</span>()</span>
+<span id="cb33-3"><a href="#cb33-3" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt; [1] TRUE</span></span></code></pre></div>
+</div>
+<div id="eager-unbinding-1" class="section level4">
+<h4>Eager unbinding: âœ…</h4>
+<p>Because we use one mask environment per pipe expression, the intermediary values can be collected as soon as they are no longer needed.</p>
+</div>
+<div id="progressive-stack-2" class="section level4">
+<h4>Progressive stack: â�Œ</h4>
+<p>With a lazy pipe the whole pipeline is pushed onto the stack before evaluation.</p>
+<div class="sourceCode" id="cb34"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb34-1"><a href="#cb34-1" aria-hidden="true" tabindex="-1"></a>faulty <span class="ot">&lt;-</span> <span class="cf">function</span>() <span class="fu">stop</span>(<span class="st">&quot;tilt&quot;</span>)</span>
+<span id="cb34-2"><a href="#cb34-2" aria-hidden="true" tabindex="-1"></a>f <span class="ot">&lt;-</span> <span class="cf">function</span>(x) x <span class="sc">+</span> <span class="dv">1</span></span>
+<span id="cb34-3"><a href="#cb34-3" aria-hidden="true" tabindex="-1"></a>g <span class="ot">&lt;-</span> <span class="cf">function</span>(x) x <span class="sc">+</span> <span class="dv">2</span></span>
+<span id="cb34-4"><a href="#cb34-4" aria-hidden="true" tabindex="-1"></a>h <span class="ot">&lt;-</span> <span class="cf">function</span>(x) x <span class="sc">+</span> <span class="dv">3</span></span>
+<span id="cb34-5"><a href="#cb34-5" aria-hidden="true" tabindex="-1"></a></span>
+<span id="cb34-6"><a href="#cb34-6" aria-hidden="true" tabindex="-1"></a><span class="fu">faulty</span>() <span class="sc">%?&gt;%</span> <span class="fu">f</span>() <span class="sc">%?&gt;%</span> <span class="fu">g</span>() <span class="sc">%?&gt;%</span> <span class="fu">h</span>()</span>
+<span id="cb34-7"><a href="#cb34-7" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt; Error in faulty() : tilt</span></span>
+<span id="cb34-8"><a href="#cb34-8" aria-hidden="true" tabindex="-1"></a></span>
+<span id="cb34-9"><a href="#cb34-9" aria-hidden="true" tabindex="-1"></a><span class="fu">traceback</span>()</span>
+<span id="cb34-10"><a href="#cb34-10" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt; 7: stop(&quot;tilt&quot;)</span></span>
+<span id="cb34-11"><a href="#cb34-11" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt; 6: faulty()</span></span>
+<span id="cb34-12"><a href="#cb34-12" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt; 5: f(.)</span></span>
+<span id="cb34-13"><a href="#cb34-13" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt; 4: g(.)</span></span>
+<span id="cb34-14"><a href="#cb34-14" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt; 3: h(.)</span></span>
+<span id="cb34-15"><a href="#cb34-15" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt; 2: .External2(magrittr_pipe) at pipe.R#174</span></span>
+<span id="cb34-16"><a href="#cb34-16" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt; 1: faulty() %?&gt;% f() %?&gt;% g() %?&gt;% h()</span></span></code></pre></div>
+<p>Note however how the backtrace is less cluttered than with the nested pipe approach, thanks to the placeholder.</p>
+</div>
+<div id="lexical-effects-1" class="section level4">
+<h4>Lexical effects â�Œ</h4>
+<p>The lazy pipe evaluates in a mask. This causes lexical side effects to occur in the incorrect environment.</p>
+<div class="sourceCode" id="cb35"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb35-1"><a href="#cb35-1" aria-hidden="true" tabindex="-1"></a>foo <span class="ot">&lt;-</span> <span class="cn">FALSE</span></span>
+<span id="cb35-2"><a href="#cb35-2" aria-hidden="true" tabindex="-1"></a><span class="cn">TRUE</span> <span class="sc">%?&gt;%</span> <span class="fu">assign</span>(<span class="st">&quot;foo&quot;</span>, .)</span>
+<span id="cb35-3"><a href="#cb35-3" aria-hidden="true" tabindex="-1"></a>foo</span>
+<span id="cb35-4"><a href="#cb35-4" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt; [1] FALSE</span></span></code></pre></div>
+<p>Stack-sensitive functions like <code>return()</code> function cannot find the proper frame environment:</p>
+<div class="sourceCode" id="cb36"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb36-1"><a href="#cb36-1" aria-hidden="true" tabindex="-1"></a>fn <span class="ot">&lt;-</span> <span class="cf">function</span>() {</span>
+<span id="cb36-2"><a href="#cb36-2" aria-hidden="true" tabindex="-1"></a>  <span class="cn">TRUE</span> <span class="sc">%?&gt;%</span> <span class="fu">return</span>()</span>
+<span id="cb36-3"><a href="#cb36-3" aria-hidden="true" tabindex="-1"></a>  <span class="cn">FALSE</span></span>
+<span id="cb36-4"><a href="#cb36-4" aria-hidden="true" tabindex="-1"></a>}</span>
+<span id="cb36-5"><a href="#cb36-5" aria-hidden="true" tabindex="-1"></a><span class="fu">fn</span>()</span>
+<span id="cb36-6"><a href="#cb36-6" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt; [1] FALSE</span></span></code></pre></div>
+</div>
+<div id="continuous-stack-1" class="section level4">
+<h4>Continuous stack â�Œ</h4>
+<p>The masking environment causes a discontinuous stack tree:</p>
+<div class="sourceCode" id="cb37"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb37-1"><a href="#cb37-1" aria-hidden="true" tabindex="-1"></a>foobar <span class="ot">&lt;-</span> <span class="cf">function</span>(x) x <span class="sc">%?&gt;%</span> <span class="fu">quux</span>()</span>
+<span id="cb37-2"><a href="#cb37-2" aria-hidden="true" tabindex="-1"></a>quux <span class="ot">&lt;-</span> <span class="cf">function</span>(x) x <span class="sc">%?&gt;%</span> <span class="fu">stop</span>()</span>
+<span id="cb37-3"><a href="#cb37-3" aria-hidden="true" tabindex="-1"></a></span>
+<span id="cb37-4"><a href="#cb37-4" aria-hidden="true" tabindex="-1"></a><span class="st">&quot;tilt&quot;</span> <span class="sc">%?&gt;%</span> <span class="fu">foobar</span>()</span>
+<span id="cb37-5"><a href="#cb37-5" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt; Error in x %?&gt;% stop() : tilt</span></span>
+<span id="cb37-6"><a href="#cb37-6" aria-hidden="true" tabindex="-1"></a></span>
+<span id="cb37-7"><a href="#cb37-7" aria-hidden="true" tabindex="-1"></a>rlang<span class="sc">::</span><span class="fu">last_trace</span>()</span>
+<span id="cb37-8"><a href="#cb37-8" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt; &lt;error/rlang_error&gt;</span></span>
+<span id="cb37-9"><a href="#cb37-9" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt; tilt</span></span>
+<span id="cb37-10"><a href="#cb37-10" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt; Backtrace:</span></span>
+<span id="cb37-11"><a href="#cb37-11" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt;     â–ˆ</span></span>
+<span id="cb37-12"><a href="#cb37-12" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt;  1. â”œâ”€&quot;tilt&quot; %?&gt;% foobar()</span></span>
+<span id="cb37-13"><a href="#cb37-13" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt;  2. â”œâ”€global::foobar(.)</span></span>
+<span id="cb37-14"><a href="#cb37-14" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt;  3. â”‚ â””â”€x %?&gt;% quux()</span></span>
+<span id="cb37-15"><a href="#cb37-15" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt;  4. â””â”€global::quux(.)</span></span>
+<span id="cb37-16"><a href="#cb37-16" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt;  5.   â””â”€x %?&gt;% stop()</span></span></code></pre></div>
+</div>
+</div>
+</div>
+
+
+
+<!-- code folding -->
+
+
+<!-- dynamically load mathjax for compatibility with self-contained -->
+<script>
+  (function () {
+    var script = document.createElement("script");
+    script.type = "text/javascript";
+    script.src  = "https://mathjax.rstudio.com/latest/MathJax.js?config=TeX-AMS-MML_HTMLorMML";
+    document.getElementsByTagName("head")[0].appendChild(script);
+  })();
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+</body>
+</html>
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+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/magrittr/help/AnIndex	(revision 3761)
@@ -0,0 +1,49 @@
+magrittr-package	magrittr-package
+%!>%	pipe-eager
+%$%	exposition
+%<>%	compound
+%>%	pipe
+%T>%	tee
+add	aliases
+and	aliases
+debug_fseq	debug_fseq
+debug_pipe	debug_pipe
+divide_by	aliases
+divide_by_int	aliases
+equals	aliases
+extract	aliases
+extract2	aliases
+faq-pipe-gender	faq-pipe-gender
+freduce	freduce
+functions	functions
+inset	aliases
+inset2	aliases
+is_greater_than	aliases
+is_in	aliases
+is_less_than	aliases
+is_weakly_greater_than	aliases
+is_weakly_less_than	aliases
+magrittr	magrittr-package
+mod	aliases
+multiply_by	aliases
+multiply_by_matrix	aliases
+n'est pas	aliases
+not	aliases
+or	aliases
+pipe-eager	pipe-eager
+pipe_eager_lexical	pipe_eager_lexical
+pipe_lazy_masking	pipe_eager_lexical
+pipe_nested	pipe_eager_lexical
+print.fseq	print.fseq
+raise_to_power	aliases
+set_attr	aliases
+set_attributes	aliases
+set_class	aliases
+set_colnames	aliases
+set_names	aliases
+set_rownames	aliases
+subtract	aliases
+undebug_fseq	debug_fseq
+use_series	aliases
+[.fseq	fseq
+[[.fseq	fseq
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/magrittr/help/paths.rds
===================================================================
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   + application/octet-stream

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===================================================================
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   + application/octet-stream

Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/magrittr/libs/x64/magrittr.dll
===================================================================
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___________________________________________________________________
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   + application/octet-stream

Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/magrittr/libs/x64/symbols.rds
===================================================================
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   + application/octet-stream

Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/magrittr/R/magrittr.rdb
===================================================================
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   + application/octet-stream

Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/magrittr/R/magrittr.rdx
===================================================================
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___________________________________________________________________
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   + application/octet-stream

Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/magrittr/R/magrittr
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/magrittr/R/magrittr	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/magrittr/R/magrittr	(revision 3761)
@@ -0,0 +1,27 @@
+#  File share/R/nspackloader.R
+#  Part of the R package, https://www.R-project.org
+#
+#  Copyright (C) 1995-2012 The R Core Team
+#
+#  This program is free software; you can redistribute it and/or modify
+#  it under the terms of the GNU General Public License as published by
+#  the Free Software Foundation; either version 2 of the License, or
+#  (at your option) any later version.
+#
+#  This program is distributed in the hope that it will be useful,
+#  but WITHOUT ANY WARRANTY; without even the implied warranty of
+#  MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
+#  GNU General Public License for more details.
+#
+#  A copy of the GNU General Public License is available at
+#  https://www.r-project.org/Licenses/
+
+local({
+    info <- loadingNamespaceInfo()
+    pkg <- info$pkgname
+    ns <- .getNamespace(as.name(pkg))
+    if (is.null(ns))
+        stop("cannot find namespace environment for ", pkg, domain = NA);
+    dbbase <- file.path(info$libname, pkg, "R", pkg)
+    lazyLoad(dbbase, ns, filter = function(n) n != ".__NAMESPACE__.")
+})
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/magrittr/html/R.css
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/magrittr/html/R.css	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/magrittr/html/R.css	(revision 3761)
@@ -0,0 +1,120 @@
+@media screen {
+    .container {
+	padding-right: 10px;
+	padding-left: 10px;
+	margin-right: auto;
+	margin-left: auto;
+	max-width: 900px;
+    }
+}
+
+.rimage img { /* from knitr - for examples and demos */
+    width: 96%;
+    margin-left: 2%;
+} 	
+
+.katex { font-size: 1.1em; }
+
+code {
+    color: inherit;
+    background: inherit;
+}
+
+body {
+    line-height: 1.4;
+    background: white;
+    color: black;
+}
+
+a:link {
+    background: white;
+    color: blue;
+}
+
+a:visited {
+    background: white;
+    color: rgb(50%, 0%, 50%);
+}
+
+h1 {
+    background: white;
+    color: rgb(55%, 55%, 55%);
+    font-family: monospace;
+    font-size: 1.4em; /* x-large; */
+    text-align: center;
+}
+
+h2 {
+    background: white;
+    color: rgb(40%, 40%, 40%);
+    font-family: monospace;
+    font-size: 1.2em; /* large; */
+    text-align: center;
+}
+
+h3 {
+    background: white;
+    color: rgb(40%, 40%, 40%);
+    font-family: monospace;
+    font-size: 1.2em; /* large; */
+}
+
+h4 {
+    background: white;
+    color: rgb(40%, 40%, 40%);
+    font-family: monospace;
+    font-style: italic;
+    font-size: 1.2em; /* large; */
+}
+
+h5 {
+    background: white;
+    color: rgb(40%, 40%, 40%);
+    font-family: monospace;
+}
+
+h6 {
+    background: white;
+    color: rgb(40%, 40%, 40%);
+    font-family: monospace;
+    font-style: italic;
+}
+
+img.toplogo {
+    width: 4em;
+    vertical-align: middle;
+}
+
+img.arrow {
+    width: 30px;
+    height: 30px;
+    border: 0;
+}
+
+span.acronym {
+    font-size: small;
+}
+
+span.env {
+    font-family: monospace;
+}
+
+span.file {
+    font-family: monospace;
+}
+
+span.option{
+    font-family: monospace;
+}
+
+span.pkg {
+    font-weight: bold;
+}
+
+span.samp{
+    font-family: monospace;
+}
+
+div.vignettes a:hover {
+    background: rgb(85%, 85%, 85%);
+}
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/magrittr/html/00Index.html
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/magrittr/html/00Index.html	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/magrittr/html/00Index.html	(revision 3761)
@@ -0,0 +1,114 @@
+<!DOCTYPE html>
+<html>
+<head><title>R: A Forward-Pipe Operator for R</title>
+<meta http-equiv="Content-Type" content="text/html; charset=utf-8" />
+<meta name="viewport" content="width=device-width, initial-scale=1.0, user-scalable=yes" />
+<link rel="stylesheet" type="text/css" href="R.css" />
+</head><body><div class="container">
+<h1> A Forward-Pipe Operator for R
+<img class="toplogo" src="../../../doc/html/Rlogo.svg" alt="[R logo]" />
+</h1>
+<hr/>
+<div style="text-align: center;">
+<a href="../../../doc/html/packages.html"><img class="arrow" src="../../../doc/html/left.jpg" alt="[Up]" /></a>
+<a href="../../../doc/html/index.html"><img class="arrow" src="../../../doc/html/up.jpg" alt="[Top]" /></a>
+</div><h2>Documentation for package &lsquo;magrittr&rsquo; version 2.0.3</h2>
+
+<ul><li><a href="../DESCRIPTION">DESCRIPTION file</a>.</li>
+<li><a href="../doc/index.html">User guides, package vignettes and other documentation.</a></li>
+</ul>
+
+<h2>Help Pages</h2>
+
+
+<table style="width: 100%;">
+<tr><td style="width: 25%;"><a href="pipe-eager.html">%!&gt;%</a></td>
+<td>Eager pipe</td></tr>
+<tr><td style="width: 25%;"><a href="exposition.html">%$%</a></td>
+<td>Exposition pipe</td></tr>
+<tr><td style="width: 25%;"><a href="compound.html">%&lt;&gt;%</a></td>
+<td>Assignment pipe</td></tr>
+<tr><td style="width: 25%;"><a href="pipe.html">%&gt;%</a></td>
+<td>Pipe</td></tr>
+<tr><td style="width: 25%;"><a href="tee.html">%T&gt;%</a></td>
+<td>Tee pipe</td></tr>
+<tr><td style="width: 25%;"><a href="aliases.html">add</a></td>
+<td>Aliases</td></tr>
+<tr><td style="width: 25%;"><a href="aliases.html">and</a></td>
+<td>Aliases</td></tr>
+<tr><td style="width: 25%;"><a href="debug_fseq.html">debug_fseq</a></td>
+<td>Debugging function for functional sequences.</td></tr>
+<tr><td style="width: 25%;"><a href="debug_pipe.html">debug_pipe</a></td>
+<td>Debugging function for magrittr pipelines.</td></tr>
+<tr><td style="width: 25%;"><a href="aliases.html">divide_by</a></td>
+<td>Aliases</td></tr>
+<tr><td style="width: 25%;"><a href="aliases.html">divide_by_int</a></td>
+<td>Aliases</td></tr>
+<tr><td style="width: 25%;"><a href="aliases.html">equals</a></td>
+<td>Aliases</td></tr>
+<tr><td style="width: 25%;"><a href="aliases.html">extract</a></td>
+<td>Aliases</td></tr>
+<tr><td style="width: 25%;"><a href="aliases.html">extract2</a></td>
+<td>Aliases</td></tr>
+<tr><td style="width: 25%;"><a href="faq-pipe-gender.html">faq-pipe-gender</a></td>
+<td>FAQ: What is the gender of the pipe?</td></tr>
+<tr><td style="width: 25%;"><a href="freduce.html">freduce</a></td>
+<td>Apply a list of functions sequentially</td></tr>
+<tr><td style="width: 25%;"><a href="functions.html">functions</a></td>
+<td>Extract the function list from a functional sequence.</td></tr>
+<tr><td style="width: 25%;"><a href="aliases.html">inset</a></td>
+<td>Aliases</td></tr>
+<tr><td style="width: 25%;"><a href="aliases.html">inset2</a></td>
+<td>Aliases</td></tr>
+<tr><td style="width: 25%;"><a href="aliases.html">is_greater_than</a></td>
+<td>Aliases</td></tr>
+<tr><td style="width: 25%;"><a href="aliases.html">is_in</a></td>
+<td>Aliases</td></tr>
+<tr><td style="width: 25%;"><a href="aliases.html">is_less_than</a></td>
+<td>Aliases</td></tr>
+<tr><td style="width: 25%;"><a href="aliases.html">is_weakly_greater_than</a></td>
+<td>Aliases</td></tr>
+<tr><td style="width: 25%;"><a href="aliases.html">is_weakly_less_than</a></td>
+<td>Aliases</td></tr>
+<tr><td style="width: 25%;"><a href="aliases.html">mod</a></td>
+<td>Aliases</td></tr>
+<tr><td style="width: 25%;"><a href="aliases.html">multiply_by</a></td>
+<td>Aliases</td></tr>
+<tr><td style="width: 25%;"><a href="aliases.html">multiply_by_matrix</a></td>
+<td>Aliases</td></tr>
+<tr><td style="width: 25%;"><a href="aliases.html">n'est pas</a></td>
+<td>Aliases</td></tr>
+<tr><td style="width: 25%;"><a href="aliases.html">not</a></td>
+<td>Aliases</td></tr>
+<tr><td style="width: 25%;"><a href="aliases.html">or</a></td>
+<td>Aliases</td></tr>
+<tr><td style="width: 25%;"><a href="pipe-eager.html">pipe-eager</a></td>
+<td>Eager pipe</td></tr>
+<tr><td style="width: 25%;"><a href="print.fseq.html">print.fseq</a></td>
+<td>Print method for functional sequence.</td></tr>
+<tr><td style="width: 25%;"><a href="aliases.html">raise_to_power</a></td>
+<td>Aliases</td></tr>
+<tr><td style="width: 25%;"><a href="aliases.html">set_attr</a></td>
+<td>Aliases</td></tr>
+<tr><td style="width: 25%;"><a href="aliases.html">set_attributes</a></td>
+<td>Aliases</td></tr>
+<tr><td style="width: 25%;"><a href="aliases.html">set_class</a></td>
+<td>Aliases</td></tr>
+<tr><td style="width: 25%;"><a href="aliases.html">set_colnames</a></td>
+<td>Aliases</td></tr>
+<tr><td style="width: 25%;"><a href="aliases.html">set_names</a></td>
+<td>Aliases</td></tr>
+<tr><td style="width: 25%;"><a href="aliases.html">set_rownames</a></td>
+<td>Aliases</td></tr>
+<tr><td style="width: 25%;"><a href="aliases.html">subtract</a></td>
+<td>Aliases</td></tr>
+<tr><td style="width: 25%;"><a href="debug_fseq.html">undebug_fseq</a></td>
+<td>Debugging function for functional sequences.</td></tr>
+<tr><td style="width: 25%;"><a href="aliases.html">use_series</a></td>
+<td>Aliases</td></tr>
+<tr><td style="width: 25%;"><a href="fseq.html">[.fseq</a></td>
+<td>Extract function(s) from a functional sequence.</td></tr>
+<tr><td style="width: 25%;"><a href="fseq.html">[[.fseq</a></td>
+<td>Extract function(s) from a functional sequence.</td></tr>
+</table>
+</div></body></html>
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/lme4/html/R.css
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/lme4/html/R.css	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/lme4/html/R.css	(revision 3761)
@@ -0,0 +1,120 @@
+@media screen {
+    .container {
+	padding-right: 10px;
+	padding-left: 10px;
+	margin-right: auto;
+	margin-left: auto;
+	max-width: 900px;
+    }
+}
+
+.rimage img { /* from knitr - for examples and demos */
+    width: 96%;
+    margin-left: 2%;
+} 	
+
+.katex { font-size: 1.1em; }
+
+code {
+    color: inherit;
+    background: inherit;
+}
+
+body {
+    line-height: 1.4;
+    background: white;
+    color: black;
+}
+
+a:link {
+    background: white;
+    color: blue;
+}
+
+a:visited {
+    background: white;
+    color: rgb(50%, 0%, 50%);
+}
+
+h1 {
+    background: white;
+    color: rgb(55%, 55%, 55%);
+    font-family: monospace;
+    font-size: 1.4em; /* x-large; */
+    text-align: center;
+}
+
+h2 {
+    background: white;
+    color: rgb(40%, 40%, 40%);
+    font-family: monospace;
+    font-size: 1.2em; /* large; */
+    text-align: center;
+}
+
+h3 {
+    background: white;
+    color: rgb(40%, 40%, 40%);
+    font-family: monospace;
+    font-size: 1.2em; /* large; */
+}
+
+h4 {
+    background: white;
+    color: rgb(40%, 40%, 40%);
+    font-family: monospace;
+    font-style: italic;
+    font-size: 1.2em; /* large; */
+}
+
+h5 {
+    background: white;
+    color: rgb(40%, 40%, 40%);
+    font-family: monospace;
+}
+
+h6 {
+    background: white;
+    color: rgb(40%, 40%, 40%);
+    font-family: monospace;
+    font-style: italic;
+}
+
+img.toplogo {
+    width: 4em;
+    vertical-align: middle;
+}
+
+img.arrow {
+    width: 30px;
+    height: 30px;
+    border: 0;
+}
+
+span.acronym {
+    font-size: small;
+}
+
+span.env {
+    font-family: monospace;
+}
+
+span.file {
+    font-family: monospace;
+}
+
+span.option{
+    font-family: monospace;
+}
+
+span.pkg {
+    font-weight: bold;
+}
+
+span.samp{
+    font-family: monospace;
+}
+
+div.vignettes a:hover {
+    background: rgb(85%, 85%, 85%);
+}
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/lme4/html/00Index.html
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/lme4/html/00Index.html	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/lme4/html/00Index.html	(revision 3761)
@@ -0,0 +1,577 @@
+<!DOCTYPE html>
+<html>
+<head><title>R: Linear Mixed-Effects Models using 'Eigen' and S4</title>
+<meta http-equiv="Content-Type" content="text/html; charset=utf-8" />
+<meta name="viewport" content="width=device-width, initial-scale=1.0, user-scalable=yes" />
+<link rel="stylesheet" type="text/css" href="R.css" />
+</head><body><div class="container">
+<h1> Linear Mixed-Effects Models using 'Eigen' and S4
+<img class="toplogo" src="../../../doc/html/Rlogo.svg" alt="[R logo]" />
+</h1>
+<hr/>
+<div style="text-align: center;">
+<a href="../../../doc/html/packages.html"><img class="arrow" src="../../../doc/html/left.jpg" alt="[Up]" /></a>
+<a href="../../../doc/html/index.html"><img class="arrow" src="../../../doc/html/up.jpg" alt="[Top]" /></a>
+</div><h2>Documentation for package &lsquo;lme4&rsquo; version 1.1-31</h2>
+
+<ul><li><a href="../DESCRIPTION">DESCRIPTION file</a>.</li>
+<li><a href="../doc/index.html">User guides, package vignettes and other documentation.</a></li>
+<li><a href="../NEWS">Package NEWS</a>.</li>
+</ul>
+
+<h2>Help Pages</h2>
+
+
+<p style="text-align: center;">
+<a href="# "> </a>
+<a href="#A">A</a>
+<a href="#B">B</a>
+<a href="#C">C</a>
+<a href="#D">D</a>
+<a href="#E">E</a>
+<a href="#F">F</a>
+<a href="#G">G</a>
+<a href="#H">H</a>
+<a href="#I">I</a>
+<a href="#L">L</a>
+<a href="#M">M</a>
+<a href="#N">N</a>
+<a href="#O">O</a>
+<a href="#P">P</a>
+<a href="#Q">Q</a>
+<a href="#R">R</a>
+<a href="#S">S</a>
+<a href="#T">T</a>
+<a href="#U">U</a>
+<a href="#V">V</a>
+<a href="#W">W</a>
+<a href="#X">X</a>
+<a href="#misc">misc</a>
+</p>
+
+<table style="width: 100%;">
+<tr><td style="width: 25%;"><a href="lme4-package.html">lme4-package</a></td>
+<td>Linear, generalized linear, and nonlinear mixed models</td></tr>
+</table>
+
+<h2><a id="A">-- A --</a></h2>
+
+<table style="width: 100%;">
+<tr><td style="width: 25%;"><a href="allFit.html">allFit</a></td>
+<td>Refit a fitted model with all available optimizers</td></tr>
+<tr><td style="width: 25%;"><a href="merMod-class.html">anova.merMod</a></td>
+<td>Class "merMod" of Fitted Mixed-Effect Models</td></tr>
+<tr><td style="width: 25%;"><a href="Arabidopsis.html">Arabidopsis</a></td>
+<td>Arabidopsis clipping/fertilization data</td></tr>
+<tr><td style="width: 25%;"><a href="ranef.html">as.data.frame.ranef.mer</a></td>
+<td>Extract the modes of the random effects</td></tr>
+<tr><td style="width: 25%;"><a href="profile-methods.html">as.data.frame.thpr</a></td>
+<td>Profile method for merMod objects</td></tr>
+<tr><td style="width: 25%;"><a href="VarCorr.html">as.data.frame.VarCorr.merMod</a></td>
+<td>Extract Variance and Correlation Components</td></tr>
+<tr><td style="width: 25%;"><a href="merMod-class.html">as.function.merMod</a></td>
+<td>Class "merMod" of Fitted Mixed-Effect Models</td></tr>
+</table>
+
+<h2><a id="B">-- B --</a></h2>
+
+<table style="width: 100%;">
+<tr><td style="width: 25%;"><a href="bootMer.html">bootMer</a></td>
+<td>Model-based (Semi-)Parametric Bootstrap for Mixed Models</td></tr>
+</table>
+
+<h2><a id="C">-- C --</a></h2>
+
+<table style="width: 100%;">
+<tr><td style="width: 25%;"><a href="cake.html">cake</a></td>
+<td>Breakage Angle of Chocolate Cakes</td></tr>
+<tr><td style="width: 25%;"><a href="cbpp.html">cbpp</a></td>
+<td>Contagious bovine pleuropneumonia</td></tr>
+<tr><td style="width: 25%;"><a href="checkConv.html">checkConv</a></td>
+<td>Extended Convergence Checking</td></tr>
+<tr><td style="width: 25%;"><a href="merMod-class.html">coef.merMod</a></td>
+<td>Class "merMod" of Fitted Mixed-Effect Models</td></tr>
+<tr><td style="width: 25%;"><a href="confint.merMod.html">confint.merMod</a></td>
+<td>Compute Confidence Intervals for Parameters of a [ng]lmer Fit</td></tr>
+<tr><td style="width: 25%;"><a href="confint.merMod.html">confint.thpr</a></td>
+<td>Compute Confidence Intervals for Parameters of a [ng]lmer Fit</td></tr>
+<tr><td style="width: 25%;"><a href="convergence.html">convergence</a></td>
+<td>Assessing Convergence for Fitted Models</td></tr>
+<tr><td style="width: 25%;"><a href="influence.merMod.html">cooks.distance.influence.merMod</a></td>
+<td>Influence Diagnostics for Mixed-Effects Models</td></tr>
+<tr><td style="width: 25%;"><a href="influence.merMod.html">cooks.distance.merMod</a></td>
+<td>Influence Diagnostics for Mixed-Effects Models</td></tr>
+<tr><td style="width: 25%;"><a href="vcconv.html">cov2sdcor</a></td>
+<td>Convert between representations of (co-)variance structures</td></tr>
+<tr><td style="width: 25%;"><a href="vcconv.html">Cv_to_Sv</a></td>
+<td>Convert between representations of (co-)variance structures</td></tr>
+<tr><td style="width: 25%;"><a href="vcconv.html">Cv_to_Vv</a></td>
+<td>Convert between representations of (co-)variance structures</td></tr>
+</table>
+
+<h2><a id="D">-- D --</a></h2>
+
+<table style="width: 100%;">
+<tr><td style="width: 25%;"><a href="plots.thpr.html">densityplot.thpr</a></td>
+<td>Mixed-Effects Profile Plots (Regular / Density / Pairs)</td></tr>
+<tr><td style="width: 25%;"><a href="devcomp.html">devcomp</a></td>
+<td>Extract the deviance component list</td></tr>
+<tr><td style="width: 25%;"><a href="devfun2.html">devfun2</a></td>
+<td>Deviance Function in Terms of Standard Deviations/Correlations</td></tr>
+<tr><td style="width: 25%;"><a href="merMod-class.html">deviance.merMod</a></td>
+<td>Class "merMod" of Fitted Mixed-Effect Models</td></tr>
+<tr><td style="width: 25%;"><a href="merMod-class.html">df.residual.merMod</a></td>
+<td>Class "merMod" of Fitted Mixed-Effect Models</td></tr>
+<tr><td style="width: 25%;"><a href="influence.merMod.html">dfbeta.influence.merMod</a></td>
+<td>Influence Diagnostics for Mixed-Effects Models</td></tr>
+<tr><td style="width: 25%;"><a href="influence.merMod.html">dfbetas.influence.merMod</a></td>
+<td>Influence Diagnostics for Mixed-Effects Models</td></tr>
+<tr><td style="width: 25%;"><a href="ranef.html">dotplot.ranef.mer</a></td>
+<td>Extract the modes of the random effects</td></tr>
+<tr><td style="width: 25%;"><a href="drop1.merMod.html">drop1.merMod</a></td>
+<td>Drop all possible single fixed-effect terms from a mixed effect model</td></tr>
+<tr><td style="width: 25%;"><a href="dummy.html">dummy</a></td>
+<td>Dummy variables (experimental)</td></tr>
+<tr><td style="width: 25%;"><a href="Dyestuff.html">Dyestuff</a></td>
+<td>Yield of dyestuff by batch</td></tr>
+<tr><td style="width: 25%;"><a href="Dyestuff.html">Dyestuff2</a></td>
+<td>Yield of dyestuff by batch</td></tr>
+</table>
+
+<h2><a id="E">-- E --</a></h2>
+
+<table style="width: 100%;">
+<tr><td style="width: 25%;"><a href="expandDoubleVerts.html">expandDoubleVerts</a></td>
+<td>Expand terms with "||" notation into separate "|" terms</td></tr>
+<tr><td style="width: 25%;"><a href="merMod-class.html">extractAIC.merMod</a></td>
+<td>Class "merMod" of Fitted Mixed-Effect Models</td></tr>
+</table>
+
+<h2><a id="F">-- F --</a></h2>
+
+<table style="width: 100%;">
+<tr><td style="width: 25%;"><a href="factorize.html">factorize</a></td>
+<td>Attempt to convert grouping variables to factors</td></tr>
+<tr><td style="width: 25%;"><a href="merMod-class.html">family.merMod</a></td>
+<td>Class "merMod" of Fitted Mixed-Effect Models</td></tr>
+<tr><td style="width: 25%;"><a href="findbars.html">findbars</a></td>
+<td>Determine random-effects expressions from a formula</td></tr>
+<tr><td style="width: 25%;"><a href="merMod-class.html">fitted.merMod</a></td>
+<td>Class "merMod" of Fitted Mixed-Effect Models</td></tr>
+<tr><td style="width: 25%;"><a href="fixef.html">fixed.effects</a></td>
+<td>Extract fixed-effects estimates</td></tr>
+<tr><td style="width: 25%;"><a href="fixef.html">fixef</a></td>
+<td>Extract fixed-effects estimates</td></tr>
+<tr><td style="width: 25%;"><a href="fixef.html">fixef.merMod</a></td>
+<td>Extract fixed-effects estimates</td></tr>
+<tr><td style="width: 25%;"><a href="utilities.html">formatVC</a></td>
+<td>Print and Summary Method Utilities for Mixed Effects</td></tr>
+<tr><td style="width: 25%;"><a href="merMod-class.html">formula.merMod</a></td>
+<td>Class "merMod" of Fitted Mixed-Effect Models</td></tr>
+<tr><td style="width: 25%;"><a href="fortify.html">fortify</a></td>
+<td>add information to data based on a fitted model</td></tr>
+<tr><td style="width: 25%;"><a href="fortify.html">fortify.merMod</a></td>
+<td>add information to data based on a fitted model</td></tr>
+</table>
+
+<h2><a id="G">-- G --</a></h2>
+
+<table style="width: 100%;">
+<tr><td style="width: 25%;"><a href="fortify.html">getData</a></td>
+<td>add information to data based on a fitted model</td></tr>
+<tr><td style="width: 25%;"><a href="fortify.html">getData.merMod</a></td>
+<td>add information to data based on a fitted model</td></tr>
+<tr><td style="width: 25%;"><a href="getME.html">getL</a></td>
+<td>Extract or Get Generalized Components from a Fitted Mixed Effects Model</td></tr>
+<tr><td style="width: 25%;"><a href="getME.html">getL-method</a></td>
+<td>Extract or Get Generalized Components from a Fitted Mixed Effects Model</td></tr>
+<tr><td style="width: 25%;"><a href="getME.html">getME</a></td>
+<td>Extract or Get Generalized Components from a Fitted Mixed Effects Model</td></tr>
+<tr><td style="width: 25%;"><a href="getME.html">getME.merMod</a></td>
+<td>Extract or Get Generalized Components from a Fitted Mixed Effects Model</td></tr>
+<tr><td style="width: 25%;"><a href="GHrule.html">GHrule</a></td>
+<td>Univariate Gauss-Hermite quadrature rule</td></tr>
+<tr><td style="width: 25%;"><a href="modular.html">glFormula</a></td>
+<td>Modular Functions for Mixed Model Fits</td></tr>
+<tr><td style="width: 25%;"><a href="glmer.html">glmer</a></td>
+<td>Fitting Generalized Linear Mixed-Effects Models</td></tr>
+<tr><td style="width: 25%;"><a href="glmer.nb.html">glmer.nb</a></td>
+<td>Fitting Negative Binomial GLMMs</td></tr>
+<tr><td style="width: 25%;"><a href="lmerControl.html">glmerControl</a></td>
+<td>Control of Mixed Model Fitting</td></tr>
+<tr><td style="width: 25%;"><a href="glmerLaplaceHandle.html">glmerLaplaceHandle</a></td>
+<td>Handle for 'glmerLaplace'</td></tr>
+<tr><td style="width: 25%;"><a href="merMod-class.html">glmerMod-class</a></td>
+<td>Class "merMod" of Fitted Mixed-Effect Models</td></tr>
+<tr><td style="width: 25%;"><a href="glmFamily.html">glmFamily</a></td>
+<td>Generator object for the 'glmFamily' class</td></tr>
+<tr><td style="width: 25%;"><a href="glmFamily-class.html">glmFamily-class</a></td>
+<td>Class '"glmFamily"' - a reference class for 'family'</td></tr>
+<tr><td style="width: 25%;"><a href="lmResp.html">glmResp</a></td>
+<td>Generator objects for the response classes</td></tr>
+<tr><td style="width: 25%;"><a href="lmResp-class.html">glmResp-class</a></td>
+<td>Reference Classes for Response Modules, '"(lm|glm|nls|lmer)Resp"'</td></tr>
+<tr><td style="width: 25%;"><a href="golden-class.html">golden</a></td>
+<td>Class '"golden"' and Generator for Golden Search Optimizer Class</td></tr>
+<tr><td style="width: 25%;"><a href="golden-class.html">golden-class</a></td>
+<td>Class '"golden"' and Generator for Golden Search Optimizer Class</td></tr>
+<tr><td style="width: 25%;"><a href="GQdk.html">GQdk</a></td>
+<td>Sparse Gaussian / Gauss-Hermite Quadrature grid</td></tr>
+<tr><td style="width: 25%;"><a href="GQdk.html">GQN</a></td>
+<td>Sparse Gaussian / Gauss-Hermite Quadrature grid</td></tr>
+<tr><td style="width: 25%;"><a href="grouseticks.html">grouseticks</a></td>
+<td>Data on red grouse ticks from Elston et al. 2001</td></tr>
+<tr><td style="width: 25%;"><a href="grouseticks.html">grouseticks_agg</a></td>
+<td>Data on red grouse ticks from Elston et al. 2001</td></tr>
+</table>
+
+<h2><a id="H">-- H --</a></h2>
+
+<table style="width: 100%;">
+<tr><td style="width: 25%;"><a href="hatvalues.merMod.html">hatvalues.merMod</a></td>
+<td>Diagonal elements of the hat matrix</td></tr>
+</table>
+
+<h2><a id="I">-- I --</a></h2>
+
+<table style="width: 100%;">
+<tr><td style="width: 25%;"><a href="influence.merMod.html">influence.merMod</a></td>
+<td>Influence Diagnostics for Mixed-Effects Models</td></tr>
+<tr><td style="width: 25%;"><a href="InstEval.html">InstEval</a></td>
+<td>University Lecture/Instructor Evaluations by Students at ETH</td></tr>
+<tr><td style="width: 25%;"><a href="isREML.html">isGLMM</a></td>
+<td>Check characteristics of models</td></tr>
+<tr><td style="width: 25%;"><a href="isREML.html">isGLMM.merMod</a></td>
+<td>Check characteristics of models</td></tr>
+<tr><td style="width: 25%;"><a href="isREML.html">isLMM</a></td>
+<td>Check characteristics of models</td></tr>
+<tr><td style="width: 25%;"><a href="isREML.html">isLMM.merMod</a></td>
+<td>Check characteristics of models</td></tr>
+<tr><td style="width: 25%;"><a href="isNested.html">isNested</a></td>
+<td>Is f1 nested within f2?</td></tr>
+<tr><td style="width: 25%;"><a href="isREML.html">isNLMM</a></td>
+<td>Check characteristics of models</td></tr>
+<tr><td style="width: 25%;"><a href="isREML.html">isNLMM.merMod</a></td>
+<td>Check characteristics of models</td></tr>
+<tr><td style="width: 25%;"><a href="isREML.html">isREML</a></td>
+<td>Check characteristics of models</td></tr>
+<tr><td style="width: 25%;"><a href="isREML.html">isREML.merMod</a></td>
+<td>Check characteristics of models</td></tr>
+<tr><td style="width: 25%;"><a href="isSingular.html">isSingular</a></td>
+<td>Test Fitted Model for (Near) Singularity</td></tr>
+</table>
+
+<h2><a id="L">-- L --</a></h2>
+
+<table style="width: 100%;">
+<tr><td style="width: 25%;"><a href="modular.html">lFormula</a></td>
+<td>Modular Functions for Mixed Model Fits</td></tr>
+<tr><td style="width: 25%;"><a href="utilities.html">llikAIC</a></td>
+<td>Print and Summary Method Utilities for Mixed Effects</td></tr>
+<tr><td style="width: 25%;"><a href="lme4-package.html">lme4</a></td>
+<td>Linear, generalized linear, and nonlinear mixed models</td></tr>
+<tr><td style="width: 25%;"><a href="lme4_testlevel.html">lme4_testlevel</a></td>
+<td>Detect testing level for lme4 examples and tests</td></tr>
+<tr><td style="width: 25%;"><a href="lmer.html">lmer</a></td>
+<td>Fit Linear Mixed-Effects Models</td></tr>
+<tr><td style="width: 25%;"><a href="lmerControl.html">lmerControl</a></td>
+<td>Control of Mixed Model Fitting</td></tr>
+<tr><td style="width: 25%;"><a href="merMod-class.html">lmerMod-class</a></td>
+<td>Class "merMod" of Fitted Mixed-Effect Models</td></tr>
+<tr><td style="width: 25%;"><a href="lmResp.html">lmerResp</a></td>
+<td>Generator objects for the response classes</td></tr>
+<tr><td style="width: 25%;"><a href="lmResp-class.html">lmerResp-class</a></td>
+<td>Reference Classes for Response Modules, '"(lm|glm|nls|lmer)Resp"'</td></tr>
+<tr><td style="width: 25%;"><a href="lmList.html">lmList</a></td>
+<td>Fit List of lm or glm Objects with a Common Model</td></tr>
+<tr><td style="width: 25%;"><a href="lmList4-class.html">lmList4-class</a></td>
+<td>Class "lmList4" of 'lm' Objects on Common Model</td></tr>
+<tr><td style="width: 25%;"><a href="lmResp.html">lmResp</a></td>
+<td>Generator objects for the response classes</td></tr>
+<tr><td style="width: 25%;"><a href="lmResp-class.html">lmResp-class</a></td>
+<td>Reference Classes for Response Modules, '"(lm|glm|nls|lmer)Resp"'</td></tr>
+<tr><td style="width: 25%;"><a href="profile-methods.html">log.thpr</a></td>
+<td>Profile method for merMod objects</td></tr>
+<tr><td style="width: 25%;"><a href="merMod-class.html">logLik.merMod</a></td>
+<td>Class "merMod" of Fitted Mixed-Effect Models</td></tr>
+<tr><td style="width: 25%;"><a href="profile-methods.html">logProf</a></td>
+<td>Profile method for merMod objects</td></tr>
+</table>
+
+<h2><a id="M">-- M --</a></h2>
+
+<table style="width: 100%;">
+<tr><td style="width: 25%;"><a href="pvalues.html">mcmcsamp</a></td>
+<td>Getting p-values for fitted models</td></tr>
+<tr><td style="width: 25%;"><a href="merMod-class.html">merMod</a></td>
+<td>Class "merMod" of Fitted Mixed-Effect Models</td></tr>
+<tr><td style="width: 25%;"><a href="merMod-class.html">merMod-class</a></td>
+<td>Class "merMod" of Fitted Mixed-Effect Models</td></tr>
+<tr><td style="width: 25%;"><a href="merPredD.html">merPredD</a></td>
+<td>Generator object for the 'merPredD' class</td></tr>
+<tr><td style="width: 25%;"><a href="merPredD-class.html">merPredD-class</a></td>
+<td>Class '"merPredD"' - a Dense Predictor Reference Class</td></tr>
+<tr><td style="width: 25%;"><a href="utilities.html">methTitle</a></td>
+<td>Print and Summary Method Utilities for Mixed Effects</td></tr>
+<tr><td style="width: 25%;"><a href="mkSimulationTemplate.html">mkDataTemplate</a></td>
+<td>Make templates suitable for guiding mixed model simulations</td></tr>
+<tr><td style="width: 25%;"><a href="modular.html">mkGlmerDevfun</a></td>
+<td>Modular Functions for Mixed Model Fits</td></tr>
+<tr><td style="width: 25%;"><a href="modular.html">mkLmerDevfun</a></td>
+<td>Modular Functions for Mixed Model Fits</td></tr>
+<tr><td style="width: 25%;"><a href="mkMerMod.html">mkMerMod</a></td>
+<td>Create a 'merMod' Object</td></tr>
+<tr><td style="width: 25%;"><a href="mkReTrms.html">mkNewReTrms</a></td>
+<td>Make Random Effect Terms: Create Z, Lambda, Lind, etc.</td></tr>
+<tr><td style="width: 25%;"><a href="mkSimulationTemplate.html">mkParsTemplate</a></td>
+<td>Make templates suitable for guiding mixed model simulations</td></tr>
+<tr><td style="width: 25%;"><a href="mkRespMod.html">mkRespMod</a></td>
+<td>Create an lmerResp, glmResp or nlsResp instance</td></tr>
+<tr><td style="width: 25%;"><a href="mkReTrms.html">mkReTrms</a></td>
+<td>Make Random Effect Terms: Create Z, Lambda, Lind, etc.</td></tr>
+<tr><td style="width: 25%;"><a href="mkVarCorr.html">mkVarCorr</a></td>
+<td>Make Variance and Correlation Matrices from 'theta'</td></tr>
+<tr><td style="width: 25%;"><a href="vcconv.html">mlist2vec</a></td>
+<td>Convert between representations of (co-)variance structures</td></tr>
+<tr><td style="width: 25%;"><a href="merMod-class.html">model.frame.merMod</a></td>
+<td>Class "merMod" of Fitted Mixed-Effect Models</td></tr>
+<tr><td style="width: 25%;"><a href="merMod-class.html">model.matrix.merMod</a></td>
+<td>Class "merMod" of Fitted Mixed-Effect Models</td></tr>
+<tr><td style="width: 25%;"><a href="modular.html">modular</a></td>
+<td>Modular Functions for Mixed Model Fits</td></tr>
+</table>
+
+<h2><a id="N">-- N --</a></h2>
+
+<table style="width: 100%;">
+<tr><td style="width: 25%;"><a href="glmer.nb.html">negative.binomial</a></td>
+<td>Fitting Negative Binomial GLMMs</td></tr>
+<tr><td style="width: 25%;"><a href="NelderMead-class.html">NelderMead</a></td>
+<td>Class '"NelderMead"' of Nelder-Mead optimizers and its Generator</td></tr>
+<tr><td style="width: 25%;"><a href="NelderMead-class.html">NelderMead-class</a></td>
+<td>Class '"NelderMead"' of Nelder-Mead optimizers and its Generator</td></tr>
+<tr><td style="width: 25%;"><a href="Nelder_Mead.html">Nelder_Mead</a></td>
+<td>Nelder-Mead Optimization of Parameters, Possibly (Box) Constrained</td></tr>
+<tr><td style="width: 25%;"><a href="ngrps.html">ngrps</a></td>
+<td>Number of Levels of a Factor or a "merMod" Model</td></tr>
+<tr><td style="width: 25%;"><a href="merMod-class.html">ngrps.merMod</a></td>
+<td>Class "merMod" of Fitted Mixed-Effect Models</td></tr>
+<tr><td style="width: 25%;"><a href="nlformula.html">nlformula</a></td>
+<td>Manipulate a Nonlinear Model Formula</td></tr>
+<tr><td style="width: 25%;"><a href="nlmer.html">nlmer</a></td>
+<td>Fitting Nonlinear Mixed-Effects Models</td></tr>
+<tr><td style="width: 25%;"><a href="lmerControl.html">nlmerControl</a></td>
+<td>Control of Mixed Model Fitting</td></tr>
+<tr><td style="width: 25%;"><a href="merMod-class.html">nlmerMod-class</a></td>
+<td>Class "merMod" of Fitted Mixed-Effect Models</td></tr>
+<tr><td style="width: 25%;"><a href="nloptwrap.html">nlminbwrap</a></td>
+<td>Wrappers for additional optimizers</td></tr>
+<tr><td style="width: 25%;"><a href="nloptwrap.html">nloptwrap</a></td>
+<td>Wrappers for additional optimizers</td></tr>
+<tr><td style="width: 25%;"><a href="lmResp.html">nlsResp</a></td>
+<td>Generator objects for the response classes</td></tr>
+<tr><td style="width: 25%;"><a href="lmResp-class.html">nlsResp-class</a></td>
+<td>Reference Classes for Response Modules, '"(lm|glm|nls|lmer)Resp"'</td></tr>
+<tr><td style="width: 25%;"><a href="nobars.html">nobars</a></td>
+<td>Omit terms separated by vertical bars in a formula</td></tr>
+<tr><td style="width: 25%;"><a href="merMod-class.html">nobs</a></td>
+<td>Class "merMod" of Fitted Mixed-Effect Models</td></tr>
+<tr><td style="width: 25%;"><a href="merMod-class.html">nobs.merMod</a></td>
+<td>Class "merMod" of Fitted Mixed-Effect Models</td></tr>
+</table>
+
+<h2><a id="O">-- O --</a></h2>
+
+<table style="width: 100%;">
+<tr><td style="width: 25%;"><a href="modular.html">optimizeGlmer</a></td>
+<td>Modular Functions for Mixed Model Fits</td></tr>
+<tr><td style="width: 25%;"><a href="modular.html">optimizeLmer</a></td>
+<td>Modular Functions for Mixed Model Fits</td></tr>
+</table>
+
+<h2><a id="P">-- P --</a></h2>
+
+<table style="width: 100%;">
+<tr><td style="width: 25%;"><a href="Pastes.html">Pastes</a></td>
+<td>Paste strength by batch and cask</td></tr>
+<tr><td style="width: 25%;"><a href="Penicillin.html">Penicillin</a></td>
+<td>Variation in penicillin testing</td></tr>
+<tr><td style="width: 25%;"><a href="lmList.html">plot.lmList</a></td>
+<td>Fit List of lm or glm Objects with a Common Model</td></tr>
+<tr><td style="width: 25%;"><a href="plot.merMod.html">plot.merMod</a></td>
+<td>Diagnostic Plots for 'merMod' Fits</td></tr>
+<tr><td style="width: 25%;"><a href="predict.merMod.html">predict.merMod</a></td>
+<td>Predictions from a model at new data values</td></tr>
+<tr><td style="width: 25%;"><a href="merMod-class.html">print.merMod</a></td>
+<td>Class "merMod" of Fitted Mixed-Effect Models</td></tr>
+<tr><td style="width: 25%;"><a href="merMod-class.html">print.summary.merMod</a></td>
+<td>Class "merMod" of Fitted Mixed-Effect Models</td></tr>
+<tr><td style="width: 25%;"><a href="VarCorr.html">print.VarCorr.merMod</a></td>
+<td>Extract Variance and Correlation Components</td></tr>
+<tr><td style="width: 25%;"><a href="profile-methods.html">profile-methods</a></td>
+<td>Profile method for merMod objects</td></tr>
+<tr><td style="width: 25%;"><a href="profile-methods.html">profile.merMod</a></td>
+<td>Profile method for merMod objects</td></tr>
+<tr><td style="width: 25%;"><a href="pvalues.html">pvalues</a></td>
+<td>Getting p-values for fitted models</td></tr>
+</table>
+
+<h2><a id="Q">-- Q --</a></h2>
+
+<table style="width: 100%;">
+<tr><td style="width: 25%;"><a href="plot.merMod.html">qqmath.merMod</a></td>
+<td>Diagnostic Plots for 'merMod' Fits</td></tr>
+<tr><td style="width: 25%;"><a href="ranef.html">qqmath.ranef.mer</a></td>
+<td>Extract the modes of the random effects</td></tr>
+</table>
+
+<h2><a id="R">-- R --</a></h2>
+
+<table style="width: 100%;">
+<tr><td style="width: 25%;"><a href="ranef.html">ranef</a></td>
+<td>Extract the modes of the random effects</td></tr>
+<tr><td style="width: 25%;"><a href="ranef.html">ranef.merMod</a></td>
+<td>Extract the modes of the random effects</td></tr>
+<tr><td style="width: 25%;"><a href="refit.html">refit</a></td>
+<td>Refit a (merMod) Model with a Different Response</td></tr>
+<tr><td style="width: 25%;"><a href="refit.html">refit.merMod</a></td>
+<td>Refit a (merMod) Model with a Different Response</td></tr>
+<tr><td style="width: 25%;"><a href="refitML.html">refitML</a></td>
+<td>Refit a Model by Maximum Likelihood Criterion</td></tr>
+<tr><td style="width: 25%;"><a href="refitML.html">refitML.merMod</a></td>
+<td>Refit a Model by Maximum Likelihood Criterion</td></tr>
+<tr><td style="width: 25%;"><a href="merMod-class.html">REMLcrit</a></td>
+<td>Class "merMod" of Fitted Mixed-Effect Models</td></tr>
+<tr><td style="width: 25%;"><a href="rePCA.html">rePCA</a></td>
+<td>PCA of random-effects covariance matrix</td></tr>
+<tr><td style="width: 25%;"><a href="rePos.html">rePos</a></td>
+<td>Generator object for the rePos (random-effects positions) class</td></tr>
+<tr><td style="width: 25%;"><a href="rePos-class.html">rePos-class</a></td>
+<td>Class '"rePos"'</td></tr>
+<tr><td style="width: 25%;"><a href="residuals.merMod.html">residuals.glmResp</a></td>
+<td>residuals of merMod objects</td></tr>
+<tr><td style="width: 25%;"><a href="residuals.merMod.html">residuals.lmResp</a></td>
+<td>residuals of merMod objects</td></tr>
+<tr><td style="width: 25%;"><a href="residuals.merMod.html">residuals.merMod</a></td>
+<td>residuals of merMod objects</td></tr>
+</table>
+
+<h2><a id="S">-- S --</a></h2>
+
+<table style="width: 100%;">
+<tr><td style="width: 25%;"><a href="vcconv.html">sdcor2cov</a></td>
+<td>Convert between representations of (co-)variance structures</td></tr>
+<tr><td style="width: 25%;"><a href="lmList4-class.html">show-method</a></td>
+<td>Class "lmList4" of 'lm' Objects on Common Model</td></tr>
+<tr><td style="width: 25%;"><a href="merMod-class.html">show-method</a></td>
+<td>Class "merMod" of Fitted Mixed-Effect Models</td></tr>
+<tr><td style="width: 25%;"><a href="merMod-class.html">show.merMod</a></td>
+<td>Class "merMod" of Fitted Mixed-Effect Models</td></tr>
+<tr><td style="width: 25%;"><a href="merMod-class.html">show.summary.merMod</a></td>
+<td>Class "merMod" of Fitted Mixed-Effect Models</td></tr>
+<tr><td style="width: 25%;"><a href="sigma.html">sigma</a></td>
+<td>Extract Residual Standard Deviation 'Sigma'</td></tr>
+<tr><td style="width: 25%;"><a href="sigma.html">sigma.merMod</a></td>
+<td>Extract Residual Standard Deviation 'Sigma'</td></tr>
+<tr><td style="width: 25%;"><a href="simulate.formula.html">simulate.formula</a></td>
+<td>A 'simulate' Method for 'formula' objects that dispatches based on the Left-Hand Side</td></tr>
+<tr><td style="width: 25%;"><a href="simulate.merMod.html">simulate.merMod</a></td>
+<td>Simulate Responses From 'merMod' Object</td></tr>
+<tr><td style="width: 25%;"><a href="sleepstudy.html">sleepstudy</a></td>
+<td>Reaction times in a sleep deprivation study</td></tr>
+<tr><td style="width: 25%;"><a href="plots.thpr.html">splom.thpr</a></td>
+<td>Mixed-Effects Profile Plots (Regular / Density / Pairs)</td></tr>
+<tr><td style="width: 25%;"><a href="subbars.html">subbars</a></td>
+<td>"Sub[stitute] Bars"</td></tr>
+<tr><td style="width: 25%;"><a href="merMod-class.html">summary.merMod</a></td>
+<td>Class "merMod" of Fitted Mixed-Effect Models</td></tr>
+<tr><td style="width: 25%;"><a href="merMod-class.html">summary.summary.merMod</a></td>
+<td>Class "merMod" of Fitted Mixed-Effect Models</td></tr>
+<tr><td style="width: 25%;"><a href="vcconv.html">Sv_to_Cv</a></td>
+<td>Convert between representations of (co-)variance structures</td></tr>
+</table>
+
+<h2><a id="T">-- T --</a></h2>
+
+<table style="width: 100%;">
+<tr><td style="width: 25%;"><a href="merMod-class.html">terms.merMod</a></td>
+<td>Class "merMod" of Fitted Mixed-Effect Models</td></tr>
+<tr><td style="width: 25%;"><a href="troubleshooting.html">troubleshooting</a></td>
+<td>Troubleshooting</td></tr>
+</table>
+
+<h2><a id="U">-- U --</a></h2>
+
+<table style="width: 100%;">
+<tr><td style="width: 25%;"><a href="merMod-class.html">update.merMod</a></td>
+<td>Class "merMod" of Fitted Mixed-Effect Models</td></tr>
+<tr><td style="width: 25%;"><a href="modular.html">updateGlmerDevfun</a></td>
+<td>Modular Functions for Mixed Model Fits</td></tr>
+</table>
+
+<h2><a id="V">-- V --</a></h2>
+
+<table style="width: 100%;">
+<tr><td style="width: 25%;"><a href="VarCorr.html">VarCorr</a></td>
+<td>Extract Variance and Correlation Components</td></tr>
+<tr><td style="width: 25%;"><a href="VarCorr.html">VarCorr.merMod</a></td>
+<td>Extract Variance and Correlation Components</td></tr>
+<tr><td style="width: 25%;"><a href="profile-methods.html">varianceProf</a></td>
+<td>Profile method for merMod objects</td></tr>
+<tr><td style="width: 25%;"><a href="vcconv.html">vcconv</a></td>
+<td>Convert between representations of (co-)variance structures</td></tr>
+<tr><td style="width: 25%;"><a href="merMod-class.html">vcov.merMod</a></td>
+<td>Class "merMod" of Fitted Mixed-Effect Models</td></tr>
+<tr><td style="width: 25%;"><a href="merMod-class.html">vcov.summary.merMod</a></td>
+<td>Class "merMod" of Fitted Mixed-Effect Models</td></tr>
+<tr><td style="width: 25%;"><a href="vcconv.html">vec2mlist</a></td>
+<td>Convert between representations of (co-)variance structures</td></tr>
+<tr><td style="width: 25%;"><a href="vcconv.html">vec2STlist</a></td>
+<td>Convert between representations of (co-)variance structures</td></tr>
+<tr><td style="width: 25%;"><a href="VerbAgg.html">VerbAgg</a></td>
+<td>Verbal Aggression item responses</td></tr>
+<tr><td style="width: 25%;"><a href="vcconv.html">Vv_to_Cv</a></td>
+<td>Convert between representations of (co-)variance structures</td></tr>
+</table>
+
+<h2><a id="W">-- W --</a></h2>
+
+<table style="width: 100%;">
+<tr><td style="width: 25%;"><a href="merMod-class.html">weights.merMod</a></td>
+<td>Class "merMod" of Fitted Mixed-Effect Models</td></tr>
+</table>
+
+<h2><a id="X">-- X --</a></h2>
+
+<table style="width: 100%;">
+<tr><td style="width: 25%;"><a href="plots.thpr.html">xyplot.thpr</a></td>
+<td>Mixed-Effects Profile Plots (Regular / Density / Pairs)</td></tr>
+</table>
+
+<h2><a id="misc">-- misc --</a></h2>
+
+<table style="width: 100%;">
+<tr><td style="width: 25%;"><a href="lmerControl.html">.makeCC</a></td>
+<td>Control of Mixed Model Fitting</td></tr>
+<tr><td style="width: 25%;"><a href="utilities.html">.prt.aictab</a></td>
+<td>Print and Summary Method Utilities for Mixed Effects</td></tr>
+<tr><td style="width: 25%;"><a href="utilities.html">.prt.call</a></td>
+<td>Print and Summary Method Utilities for Mixed Effects</td></tr>
+<tr><td style="width: 25%;"><a href="utilities.html">.prt.family</a></td>
+<td>Print and Summary Method Utilities for Mixed Effects</td></tr>
+<tr><td style="width: 25%;"><a href="utilities.html">.prt.grps</a></td>
+<td>Print and Summary Method Utilities for Mixed Effects</td></tr>
+<tr><td style="width: 25%;"><a href="utilities.html">.prt.methTit</a></td>
+<td>Print and Summary Method Utilities for Mixed Effects</td></tr>
+<tr><td style="width: 25%;"><a href="utilities.html">.prt.resids</a></td>
+<td>Print and Summary Method Utilities for Mixed Effects</td></tr>
+<tr><td style="width: 25%;"><a href="utilities.html">.prt.VC</a></td>
+<td>Print and Summary Method Utilities for Mixed Effects</td></tr>
+<tr><td style="width: 25%;"><a href="utilities.html">.prt.warn</a></td>
+<td>Print and Summary Method Utilities for Mixed Effects</td></tr>
+<tr><td style="width: 25%;"><a href="simulate.merMod.html">.simulateFun</a></td>
+<td>Simulate Responses From 'merMod' Object</td></tr>
+<tr><td style="width: 25%;"><a href="expandDoubleVerts.html">||</a></td>
+<td>Expand terms with "||" notation into separate "|" terms</td></tr>
+</table>
+</div></body></html>
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/lme4/doc/PLSvGLS.R
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/lme4/doc/PLSvGLS.R	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/lme4/doc/PLSvGLS.R	(revision 3761)
@@ -0,0 +1,9 @@
+### R code from vignette source 'PLSvGLS.Rnw'
+
+###################################################
+### code chunk number 1: preliminaries
+###################################################
+options(width=65,digits=5)
+#library(lme4)
+
+
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/lme4/doc/Theory.R
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/lme4/doc/Theory.R	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/lme4/doc/Theory.R	(revision 3761)
@@ -0,0 +1,5 @@
+## ----preliminaries,include=FALSE-------------------------------
+knitr::opts_chunk$set(include=FALSE)
+options(width=65,digits=5)
+#library(lme4)
+
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/lme4/doc/index.html
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/lme4/doc/index.html	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/lme4/doc/index.html	(revision 3761)
@@ -0,0 +1,44 @@
+<!DOCTYPE html>
+<html>
+<head><title>R: Vignettes and other documentation</title>
+<meta http-equiv="Content-Type" content="text/html; charset=utf-8" />
+<meta name="viewport" content="width=device-width, initial-scale=1.0, user-scalable=yes" />
+<link rel="stylesheet" type="text/css" href="/doc/html/R.css" />
+</head><body><div class="container">
+<h1> Vignettes and other documentation
+<img class="toplogo" src="/doc/html/Rlogo.svg" alt="[R logo]" />
+</h1>
+<hr/>
+<div style="text-align: center;">
+<a href="/doc/html/index.html"><img class="arrow" src="/doc/html/up.jpg" alt="[Top]" /></a>
+</div>
+<h2>Vignettes from package 'lme4'</h2>
+<table style="width: 100%;">
+<col style="width: 22%;" />
+<col style="width:  2%;" />
+<col style="width: 50%;" />
+<col style="width:  8%;" />
+<col style="width:  8%;" />
+<col style="width:  8%;" />
+<tr><td style="text-align: right; vertical-align: top;"><a href="../../../library/lme4/doc/lmerperf.html">lme4::lmerperf</a></td>
+<td></td><td style="vertical-align: top;">lme4 performance tips</td>
+<td style="vertical-align: top;"><a href="../../../library/lme4/doc/lmerperf.html">HTML</a></td>
+<td style="vertical-align: top;"><a href="../../../library/lme4/doc/lmerperf.Rmd">source</a></td>
+<td style="vertical-align: top; white-space: nowrap"><a href="../../../library/lme4/doc/lmerperf.R">R code</a></td></tr>
+<tr><td style="text-align: right; vertical-align: top;"><a href="../../../library/lme4/doc/Theory.pdf">lme4::Theory</a></td>
+<td></td><td style="vertical-align: top;">Computational Methods</td>
+<td style="vertical-align: top;"><a href="../../../library/lme4/doc/Theory.pdf">PDF</a></td>
+<td style="vertical-align: top;"><a href="../../../library/lme4/doc/Theory.Rnw">source</a></td>
+<td style="vertical-align: top; white-space: nowrap"><a href="../../../library/lme4/doc/Theory.R">R code</a></td></tr>
+<tr><td style="text-align: right; vertical-align: top;"><a href="../../../library/lme4/doc/lmer.pdf">lme4::lmer</a></td>
+<td></td><td style="vertical-align: top;">Fitting Linear Mixed-Effects Models using lme4</td>
+<td style="vertical-align: top;"><a href="../../../library/lme4/doc/lmer.pdf">PDF</a></td>
+<td style="vertical-align: top;"><a href="../../../library/lme4/doc/lmer.Rnw">source</a></td>
+<td style="vertical-align: top; white-space: nowrap"><a href="../../../library/lme4/doc/lmer.R">R code</a></td></tr>
+<tr><td style="text-align: right; vertical-align: top;"><a href="../../../library/lme4/doc/PLSvGLS.pdf">lme4::PLSvGLS</a></td>
+<td></td><td style="vertical-align: top;">PLS vs GLS for LMMs</td>
+<td style="vertical-align: top;"><a href="../../../library/lme4/doc/PLSvGLS.pdf">PDF</a></td>
+<td style="vertical-align: top;"><a href="../../../library/lme4/doc/PLSvGLS.Rnw">source</a></td>
+<td style="vertical-align: top; white-space: nowrap"><a href="../../../library/lme4/doc/PLSvGLS.R">R code</a></td></tr>
+</table>
+</div></body></html>
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/lme4/doc/lmerperf.R
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/lme4/doc/lmerperf.R	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/lme4/doc/lmerperf.R	(revision 3761)
@@ -0,0 +1,40 @@
+## ----opts, echo = FALSE, message = FALSE--------------------------------------
+library("knitr")
+knitr::opts_chunk$set(
+  )
+load(system.file("testdata", "lmerperf.rda", package="lme4"))
+
+## ----loadpkg,message=FALSE----------------------------------------------------
+library("lme4")
+
+## ----noderivs, eval = FALSE---------------------------------------------------
+#  m0 <- lmer(y ~ service * dept + (1|s) + (1|d), InstEval,
+#       control = lmerControl(calc.derivs = FALSE))
+
+## ----calcs, echo = FALSE------------------------------------------------------
+## based on loaded lmerperf file
+t1 <- fitlist$basic$times[["elapsed"]]
+t2 <- fitlist$noderivs$times[["elapsed"]]
+pct <- round(100*(t1-t2)/t1)
+e1 <- fitlist$basic$optinfo$feval
+
+## ----glmeropt, echo=FALSE-----------------------------------------------------
+gg <- glmerControl()$optimizer
+
+## ----times, as.is=TRUE, echo=FALSE--------------------------------------------
+tt <- sort(ss$times[,"elapsed"])
+tt2 <- data.frame(optimizer = names(tt), elapsed = tt)
+rownames(tt2) <- NULL
+knitr::kable(tt2)
+
+## ----default------------------------------------------------------------------
+environment(nloptwrap)$defaultControl
+
+## ----calcs2, echo = FALSE-----------------------------------------------------
+## based on loaded lmerperf file
+t1 <- fitlist$basic$times[["elapsed"]]
+t2 <- fitlist$noderivs$times[["elapsed"]]
+t3 <- fitlist$nlopt_sloppy$times[["elapsed"]]
+pct <- round(100*(t1-t2)/t1)
+e1 <- fitlist$basic$optinfo$feval
+
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/lme4/doc/lmerperf.Rmd
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/lme4/doc/lmerperf.Rmd	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/lme4/doc/lmerperf.Rmd	(revision 3761)
@@ -0,0 +1,128 @@
+---
+title: "lme4 performance tips"
+---
+
+<!--
+%\VignetteEngine{knitr::rmarkdown}
+%\VignetteIndexEntry{lme4 performance tips}
+-->
+
+```{r opts, echo = FALSE, message = FALSE}
+library("knitr")
+knitr::opts_chunk$set(
+  )
+load(system.file("testdata", "lmerperf.rda", package="lme4"))
+```
+
+```{r loadpkg,message=FALSE}
+library("lme4")
+```
+
+## overview
+
+In general `lme4`'s algorithms scale reasonably well with the number of observations
+and the number of random effect levels. The biggest bottleneck is in the number of
+*top-level parameters*, i.e. covariance parameters for
+`lmer` fits or `glmer` fits with `nAGQ`=0 [`length(getME(model, "theta"))`], 
+covariance and fixed-effect parameters for `glmer` fits with `nAGQ`>0. `lme4` does a derivative-free
+(by default) nonlinear optimization step over the top-level parameters.
+
+For this reason, "maximal" models involving interactions of factors with several levels each
+(e.g. `(stimulus*primer | subject)`) will be slow (as well as hard to estimate): if the two factors
+have `f1` and `f2` levels respectively, then the corresponding `lmer` fit will need to estimate
+`(f1*f2)*(f1*f2+1)/2` top-level parameters.
+
+`lme4` automatically constructs the random effects model matrix ($Z$) as a sparse matrix.
+At present it does *not* allow an option for a sparse fixed-effects model matrix ($X$), which
+is useful if the fixed-effect model includes factors with many levels. Treating such factors
+as random effects instead, and using the modular framework (`?modular`) to fix the variance
+of this random effect at a large value, will allow it to be modeled using a sparse matrix.
+(The estimates will converge to the fixed-effect case in the limit as the variance goes to infinity.)
+
+## setting `calc.derivs = FALSE`
+
+After finding the best-fit model parameters (in most cases using *derivative-free*
+algorithms such as Powell's BOBYQA or Nelder-Mead, `[g]lmer` does a series of finite-difference
+calculations to estimate the gradient and Hessian at the MLE. These are used to
+try to establish whether the model has converged reliably, and (for `glmer`) to
+estimate the standard deviations of the fixed effect parameters (a less accurate
+approximation is used if the Hessian estimate is not available. As currently implemented, this computation takes `2*n^2 -  n + 1` additional evaluations of the deviance,
+where `n` is the total number of top-level parameters. Using  `control = [g]lmerControl(calc.derivs = FALSE)` to turn off this calculation can speed up 
+the fit, e.g.
+
+```{r noderivs, eval = FALSE}
+m0 <- lmer(y ~ service * dept + (1|s) + (1|d), InstEval,
+     control = lmerControl(calc.derivs = FALSE))
+```
+
+```{r calcs, echo = FALSE}
+## based on loaded lmerperf file
+t1 <- fitlist$basic$times[["elapsed"]]
+t2 <- fitlist$noderivs$times[["elapsed"]]
+pct <- round(100*(t1-t2)/t1)
+e1 <- fitlist$basic$optinfo$feval
+```
+
+Benchmark results for this run with and without derivatives show an
+approximately `r pct`% speedup (from `r round(t1)` to `r round(t2)` seconds on a Linux machine with
+AMD Ryzen 9 2.2 GHz processors). This is a case with only 2 top-level
+parameters, but the fit took only `r e1` deviance function evaluations
+(see `m0@optinfo$feval`) to converge, so the effect of the additional 7 ($n^2 -n +1$)
+function evaluations is noticeable.
+
+## choice of optimizer
+
+```{r glmeropt, echo=FALSE}
+gg <- glmerControl()$optimizer
+```
+
+`lmer` uses the "`r lmerControl()$optimizer`" optimizer by default;
+`glmer` uses a combination of `r gg[1]` (`nAGQ=0` stage)  and `r gg[2]`. 
+These are reasonably good choices, although switching `glmer` fits to `nloptwrap` for 
+both stages may be worth a try.
+
+`allFits()` gives an easy way to check the timings of a large range of optimizers:
+
+```{r times, as.is=TRUE, echo=FALSE}
+tt <- sort(ss$times[,"elapsed"])
+tt2 <- data.frame(optimizer = names(tt), elapsed = tt)
+rownames(tt2) <- NULL
+knitr::kable(tt2)
+```
+
+As expected, bobyqa - both the implementation in the `minqa` package [`[g]lmerControl(optimizer="bobyqa")`]
+and the  one in `nloptwrap` [`optimizer="nloptwrap"` or `optimizer="nloptwrap", optCtrl = list(algorithm = "NLOPT_LN_BOBYQA"`] - are fastest.
+
+## changing optimizer tolerances
+
+Occasionally, the default optimizer stopping tolerances are unnecessarily strict. 
+These tolerances are specific to each optimizer, and can be set via the `optCtrl` argument in `[g]lmerControl`.
+To see the defaults for `nloptwrap`:
+
+```{r default}
+environment(nloptwrap)$defaultControl
+```
+
+```{r calcs2, echo = FALSE}
+## based on loaded lmerperf file
+t1 <- fitlist$basic$times[["elapsed"]]
+t2 <- fitlist$noderivs$times[["elapsed"]]
+t3 <- fitlist$nlopt_sloppy$times[["elapsed"]]
+pct <- round(100*(t1-t2)/t1)
+e1 <- fitlist$basic$optinfo$feval
+```
+
+In the particular case of the `InstEval` example, this doesn't help much - loosening the tolerances
+to `ftol_abs=1e-4`, `xtol_abs=1e-4` only saves 2 functional evaluations and a few seconds, while loosening
+the tolerances still further gives convergence warnings.
+
+## parallelization/BLAS
+
+There are not many options for parallelizing `lme4`. Optimized BLAS does not seem to help much.
+
+## other packages
+
+- `glmmTMB` may be faster than `lme4` for GLMMs with large numbers of top-level parameters, especially for negative binomial models (i.e. compared to `glmer.nb`)
+- the `MixedModels.jl` package in Julia may be *much* faster for some problems. You do need to install Julia.
+   - see [this short tutorial](https://github.com/ginettelafit/MixedModelswithRandJulia) or [this example](https://github.com/RePsychLing/MixedModels-lme4-bridge/blob/master/using_jellyme4.ipynb) (Jupyter notebook)
+   - the [JellyMe4](https://github.com/palday/JellyMe4.jl) and [jglmm](https://github.com/mikabr/jglmm) packages provide R interfaces
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/lme4/doc/PLSvGLS.Rnw
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/lme4/doc/PLSvGLS.Rnw	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/lme4/doc/PLSvGLS.Rnw	(revision 3761)
@@ -0,0 +1,432 @@
+\documentclass[12pt]{article}
+\usepackage{Sweave,amsmath,amsfonts,bm}
+\usepackage[authoryear,round]{natbib}
+\bibliographystyle{plainnat}
+\DeclareMathOperator \tr {tr}
+\DefineVerbatimEnvironment{Sinput}{Verbatim}
+{formatcom={\vspace{-1ex}},fontshape=sl,
+  fontfamily=courier,fontseries=b, fontsize=\footnotesize}
+\DefineVerbatimEnvironment{Soutput}{Verbatim}
+{formatcom={\vspace{-1ex}},fontfamily=courier,fontseries=b,%
+  fontsize=\footnotesize}
+%%\VignetteIndexEntry{PLS vs GLS for LMMs}
+%%\VignetteDepends{lme4}
+\title{Penalized least squares versus generalized least squares
+  representations of linear mixed models}
+\author{Douglas Bates\\Department of Statistics\\%
+  University of Wisconsin -- Madison}
+\begin{document}
+\SweaveOpts{engine=R,eps=FALSE,pdf=TRUE,strip.white=true,keep.source=TRUE}
+\SweaveOpts{include=FALSE}
+\setkeys{Gin}{width=\textwidth}
+\newcommand{\code}[1]{\texttt{\small{#1}}}
+\newcommand{\package}[1]{\textsf{\small{#1}}}
+\newcommand{\trans}{\ensuremath{^\prime}}
+<<preliminaries,echo=FALSE,results=hide>>=
+options(width=65,digits=5)
+#library(lme4)
+@
+
+\maketitle
+
+\begin{abstract}
+  The methods in the \code{lme4} package for \code{R} for fitting
+  linear mixed models are based on sparse matrix methods, especially
+  the Cholesky decomposition of sparse positive-semidefinite matrices,
+  in a penalized least squares representation of the conditional model
+  for the response given the random effects.  The representation is
+  similar to that in Henderson's mixed-model equations.  An
+  alternative representation of the calculations is as a generalized
+  least squares problem.  We describe the two representations, show
+  the equivalence of the two representations and explain why we feel
+  that the penalized least squares approach is more versatile and more
+  computationally efficient.
+\end{abstract}
+
+\section{Definition of the model}
+\label{sec:Definition}
+
+We consider linear mixed models in which the random effects are
+represented by a $q$-dimensional random vector, $\bm{\mathcal{B}}$, and
+the response is represented by an $n$-dimensional random vector,
+$\bm{\mathcal{Y}}$.  We observe a value, $\bm y$, of the response.  The
+random effects are unobserved.
+
+For our purposes, we will assume a ``spherical'' multivariate normal
+conditional distribution of $\bm{\mathcal{Y}}$, given
+$\bm{\mathcal{B}}$.  That is, we assume the variance-covariance matrix
+of $\bm{\mathcal{Y}}|\bm{\mathcal{B}}$ is simply $\sigma^2\bm I_n$,
+where $\bm I_n$ denotes the identity matrix of order $n$.  (The term
+``spherical'' refers to the fact that contours of the conditional
+density are concentric spheres.)
+
+The conditional mean,
+$\mathrm{E}[\bm{\mathcal{Y}}|\bm{\mathcal{B}}=\bm b]$, is a linear
+function of $\bm b$ and the $p$-dimensional fixed-effects parameter,
+$\bm\beta$,
+\begin{equation}
+  \label{eq:condmean}
+  \mathrm{E}[\bm{\mathcal{Y}}|\bm{\mathcal{B}}=\bm b]=
+  \bm X\bm\beta+\bm Z\bm b ,
+\end{equation}
+where $\bm X$ and $\bm Z$ are known model matrices of sizes $n\times
+p$ and $n\times q$, respectively. Thus
+\begin{equation}
+  \label{eq:yconditional}
+  \bm{\mathcal{Y}}|\bm{\mathcal{B}}\sim
+  \mathcal{N}\left(\bm X\bm\beta+\bm Z\bm b,\sigma^2\bm I_n\right) .
+\end{equation}
+
+The marginal distribution of the random effects
+\begin{equation}
+  \label{eq:remargin}
+  \bm{\mathcal{B}}\sim\mathcal{N}\left(\bm 0,\sigma^2\bm\Sigma(\bm\theta)\right)
+\end{equation}
+is also multivariate normal, with mean $\bm 0$ and variance-covariance
+matrix $\sigma^2\bm\Sigma(\bm\theta)$.  The scalar, $\sigma^2$, in
+(\ref{eq:remargin}) is the same as the $\sigma^2$ in
+(\ref{eq:yconditional}).  As described in the next section, the
+relative variance-covariance matrix, $\bm\Sigma(\bm\theta)$, is a
+$q\times q$ positive semidefinite matrix depending on a parameter
+vector, $\bm\theta$.  Typically the dimension of $\bm\theta$ is much,
+much smaller than $q$.
+
+
+\subsection{Variance-covariance of the random effects}
+\label{sec:revarcov}
+
+The relative variance-covariance matrix, $\bm\Sigma(\bm\theta)$, must
+be symmetric and positive semidefinite (i.e. $\bm x\trans\bm\Sigma\bm
+x\ge0,\forall\bm x\in\mathbb{R}^q$).  Because the estimate of a
+variance component can be zero, it is important to allow for a
+semidefinite $\bm\Sigma$.  We do not assume that $\bm\Sigma$ is
+positive definite (i.e. $\bm x\trans\bm\Sigma\bm x>0,\forall\bm
+x\in\mathbb{R}^q, \bm x\ne\bm 0$) and, hence, we cannot assume that $\bm\Sigma^{-1}$
+exists.
+
+A positive semidefinite matrix such as $\bm\Sigma$ has a Cholesky
+decomposition of the so-called ``LDL$\trans$'' form.  We use a
+slight modification of this form,
+\begin{equation}
+  \label{eq:TSdef}
+  \bm\Sigma(\bm\theta)=\bm T(\bm\theta)\bm S(\bm\theta)\bm
+  S(\bm\theta)\bm T(\bm\theta)\trans ,
+\end{equation}
+where $\bm T(\bm\theta)$ is a unit lower-triangular $q\times q$ matrix
+and $\bm S(\bm\theta)$ is a diagonal $q\times q$ matrix with
+nonnegative diagonal elements that act as scale factors.  (They are
+the relative standard deviations of certain linear combinations of the
+random effects.)  Thus, $\bm T$ is a triangular matrix and $\bm S$ is
+a scale matrix.
+
+Both $\bm T$ and $\bm S$ are highly patterned.
+
+\subsection{Orthogonal random effects}
+\label{sec:orthogonal}
+
+Let us define a $q$-dimensional random vector, $\bm{\mathcal{U}}$, of
+orthogonal random effects with marginal distribution
+\begin{equation}
+  \label{eq:Udist}
+  \bm{\mathcal{U}}\sim\mathcal{N}\left(\bm 0,\sigma^2\bm I_q\right)
+\end{equation}
+and, for a given value of $\bm\theta$, express $\bm{\mathcal{B}}$ as a
+linear transformation of $\bm{\mathcal{U}}$,
+\begin{equation}
+  \label{eq:UtoB}
+  \bm{\mathcal{B}}=\bm T(\bm\theta)\bm S(\bm\theta)\bm{\mathcal{U}} .
+\end{equation}
+Note that the transformation (\ref{eq:UtoB}) gives the desired
+distribution of $\bm{\mathcal{B}}$ in that
+$\mathrm{E}[\bm{\mathcal{B}}]=\bm T\bm
+S\mathrm{E}[\bm{\mathcal{U}}]=\bm 0$ and
+\begin{displaymath}
+  \mathrm{Var}(\bm{\mathcal{B}})=\mathrm{E}[\bm{\mathcal{B}}\bm{\mathcal{B}}\trans]
+  =\bm T\bm S\mathrm{E}[\bm{\mathcal{U}}\bm{\mathcal{U}}\trans]\bm
+  S\bm T\trans=\sigma^2\bm T\bm S\bm S\bm T\trans=\bm\Sigma .
+\end{displaymath}
+
+The conditional distribution, $\bm{\mathcal{Y}}|\bm{\mathcal{U}}$, can
+be derived from $\bm{\mathcal{Y}}|\bm{\mathcal{B}}$ as
+\begin{equation}
+  \label{eq:YgivenU}
+  \bm{\mathcal{Y}}|\bm{\mathcal{U}}\sim\mathcal{N}\left(\bm X\bm\beta+\bm
+  Z\bm T\bm S\bm u, \sigma^2\bm I\right)
+\end{equation}
+We will write the transpose of $\bm Z\bm T\bm S$ as $\bm A$.  Because
+the matrices $\bm T$ and $\bm S$ depend on the parameter $\bm\theta$,
+$\bm A$ is also a function of $\bm\theta$,
+\begin{equation}
+  \label{eq:Adef}
+  \bm A\trans(\bm\theta)=\bm Z\bm T(\bm\theta)\bm S(\bm\theta) .
+\end{equation}
+
+In applications, the matrix $\bm Z$ is derived from indicator columns
+of the levels of one or more factors in the data and is a
+\emph{sparse} matrix, in the sense that most of its elements are zero.
+The matrix $\bm A$ is also sparse.  In fact, the structure of $\bm T$
+and $\bm S$ are such that pattern of nonzeros in $\bm A$ is that same
+as that in $\bm Z\trans$.
+
+\subsection{Sparse matrix methods}
+\label{sec:sparseMatrix}
+
+The reason for defining $\bm A$ as the transpose of a model matrix is
+because $\bm A$ is stored and manipulated as a sparse matrix.  In the
+compressed column-oriented storage form that we use for sparse
+matrices, there are advantages to storing $\bm A$ as a matrix of $n$
+columns and $q$ rows.  In particular, the CHOLMOD sparse matrix
+library allows us to evaluate the sparse Cholesky factor, $\bm
+L(\bm\theta)$, a sparse lower triangular matrix that satisfies
+\begin{equation}
+  \label{eq:SparseChol}
+  \bm L(\bm\theta)\bm L(\bm\theta)\trans=
+  \bm P\left(\bm A(\bm\theta)\bm A(\bm\theta)\trans+\bm I_q\right)\bm P\trans ,
+\end{equation}
+directly from $\bm A(\bm\theta)$.
+
+In (\ref{eq:SparseChol}) the $q\times q$ matrix $\bm P$ is a
+``fill-reducing'' permutation matrix determined from the pattern of
+nonzeros in $\bm Z$.  $\bm P$ does not affect the statistical theory
+(if $\bm{\mathcal{U}}\sim\mathcal{N}(\bm 0,\sigma^2\bm I)$ then $\bm
+P\trans\bm{\mathcal{U}}$ also has a $\mathcal{N}(\bm 0,\sigma^2\bm I)$
+distribution because $\bm P\bm P\trans=\bm P\trans\bm P=\bm I$) but,
+because it affects the number of nonzeros in $\bm L$, it can have a
+tremendous impact on the amount storage required for $\bm L$ and the
+time required to evaluate $\bm L$ from $\bm A$.  Indeed, it is
+precisely because $\bm L(\bm\theta)$ can be evaluated quickly, even
+for complex models applied the large data sets, that the \code{lmer}
+function is effective in fitting such models.
+
+\section{The penalized least squares approach to linear mixed models}
+\label{sec:Penalized}
+
+Given a value of $\bm\theta$ we form $\bm A(\bm\theta)$ from which we
+evaluate $\bm L(\bm\theta)$.  We can then solve for the $q\times p$
+matrix, $\bm R_{\bm{ZX}}$, in the system of equations
+\begin{equation}
+  \label{eq:RZX}
+  \bm L(\theta)\bm R_{\bm{ZX}}=\bm P\bm A(\bm\theta)\bm X
+\end{equation}
+and for the $p\times p$ upper triangular matrix, $\bm R_{\bm X}$, satisfying
+\begin{equation}
+  \label{eq:RX}
+  \bm R_{\bm X}\trans\bm R_{\bm X}=
+  \bm X\trans\bm X-\bm R_{\bm{ZX}}\trans\bm R_{\bm{ZX}}
+\end{equation}
+
+The conditional mode, $\tilde{\bm u}(\bm\theta)$, of the
+orthogonal random effects and the conditional mle,
+$\widehat{\bm\beta}(\bm\theta)$, of the fixed-effects parameters
+can be determined simultaneously as the solutions to a penalized least
+squares problem,
+\begin{equation}
+  \label{eq:PLS}
+  \begin{bmatrix}
+    \tilde{\bm u}(\bm\theta)\\
+    \widehat{\bm\beta}(\bm\theta)
+  \end{bmatrix}=
+  \arg\min_{\bm u,\bm\beta}\left\|
+    \begin{bmatrix}\bm y\\\bm 0\end{bmatrix} -
+    \begin{bmatrix}
+      \bm A\trans\bm P\trans & \bm X\\
+      \bm I_q & \bm 0
+    \end{bmatrix}
+    \begin{bmatrix}\bm u\\\bm\beta\end{bmatrix} ,
+  \right\|^2
+\end{equation}
+for which the solution satisfies
+\begin{equation}
+  \label{eq:PLSsol}
+  \begin{bmatrix}
+    \bm P\left(\bm A\bm A\trans+\bm I\right)\bm P\trans &
+    \bm P\bm A\bm X\\
+    \bm X\trans\bm A\trans\bm P\trans & \bm X\trans\bm X
+  \end{bmatrix}
+  \begin{bmatrix}
+    \tilde{\bm u}(\bm\theta)\\
+    \widehat{\bm\beta}(\bm\theta)
+  \end{bmatrix}=
+  \begin{bmatrix}\bm P\bm A\bm y\\\bm X\trans\bm y\end{bmatrix} .
+\end{equation}
+The Cholesky factor of the system matrix for the PLS problem can be
+expressed using $\bm L$, $\bm R_{\bm Z\bm X}$ and $\bm R_{\bm X}$, because
+\begin{equation}
+  \label{eq:PLSChol}
+  \begin{bmatrix}
+    \bm P\left(\bm A\bm A\trans+\bm I\right)\bm P\trans & \bm P\bm
+    A\bm X\\
+    \bm X\trans\bm A\trans\bm P\trans & \bm X\trans\bm X
+  \end{bmatrix} =
+  \begin{bmatrix}
+    \bm L & \bm 0\\
+    \bm R_{\bm Z\bm X}\trans & \bm R_{\bm X}\trans
+  \end{bmatrix}
+  \begin{bmatrix}
+    \bm L\trans & \bm R_{\bm Z\bm X}\\
+    \bm 0 & \bm R_{\bm X}
+  \end{bmatrix} .
+\end{equation}
+
+In the \code{lme4} package the \code{"mer"} class is the
+representation of a mixed-effects model.  Several slots in this class
+are matrices corresponding directly to the matrices in the preceding
+equations. The \code{A} slot contains the sparse matrix $\bm
+A(\bm\theta)$ and the \code{L} slot contains the sparse Cholesky
+factor, $\bm L(\bm\theta)$.  The \code{RZX} and \code{RX} slots contain
+$\bm R_{\bm Z\bm X}(\bm\theta)$ and $\bm R_{\bm X}(\bm\theta)$,
+respectively, stored as dense matrices.
+
+It is not necessary to solve for $\tilde{\bm u}(\bm\theta)$ and
+$\widehat{\bm\beta}(\bm\theta)$ to evaluate the \emph{profiled}
+log-likelihood, which is the log-likelihood evaluated $\bm\theta$ and
+the conditional estimates of the other parameters,
+$\widehat{\bm\beta}(\bm\theta)$ and $\widehat{\sigma^2}(\bm\theta)$.
+All that is needed for evaluation of the profiled log-likelihood is
+the (penalized) residual sum of squares, $r^2$, from the penalized
+least squares problem (\ref{eq:PLS}) and the determinant $|\bm A\bm
+A\trans+\bm I|=|\bm L|^2$. Because $\bm L$ is triangular, its
+determinant is easily evaluated as the product
+of its diagonal elements.  Furthermore, $|\bm L|^2 > 0$ because it is
+equal to $|\bm A\bm A\trans + \bm I|$, which is the determinant of a
+positive definite matrix.  Thus $\log(|\bm L|^2)$ is both well-defined
+and easily calculated from $\bm L$.
+
+The profiled deviance (negative twice the profiled log-likelihood), as
+a function of $\bm\theta$ only ($\bm\beta$ and $\sigma^2$ at their
+conditional estimates), is
+\begin{equation}
+  \label{eq:profiledDev}
+  d(\bm\theta|\bm y)=\log(|\bm L|^2)+n\left(1+\log(r^2)+\frac{2\pi}{n}\right)
+\end{equation}
+The maximum likelihood estimates, $\widehat{\bm\theta}$, satisfy
+\begin{equation}
+  \label{eq:thetamle}
+  \widehat{\bm\theta}=\arg\min_{\bm\theta}d(\bm\theta|\bm y)
+\end{equation}
+Once the value of $\widehat{\bm\theta}$ has been determined, the mle
+of $\bm\beta$ is evaluated from (\ref{eq:PLSsol}) and the mle of
+$\sigma^2$ as $\widehat{\sigma^2}(\bm\theta)=r^2/n$.
+
+Note that nothing has been said about the form of the sparse model
+matrix, $\bm Z$, other than the fact that it is sparse.  In contrast
+to other methods for linear mixed models, these results apply to
+models where $\bm Z$ is derived from crossed or partially crossed
+grouping factors, in addition to models with multiple, nested grouping
+factors.
+
+The system (\ref{eq:PLSsol}) is similar to Henderson's ``mixed-model
+equations'' (reference?).  One important difference between
+(\ref{eq:PLSsol}) and Henderson's formulation is that Henderson
+represented his system of equations in terms of $\bm\Sigma^{-1}$ and,
+in important practical examples, $\bm\Sigma^{-1}$ does not exist at
+the parameter estimates.  Also, Henderson assumed that equations like
+(\ref{eq:PLSsol}) would need to be solved explicitly and, as we have
+seen, only the decomposition of the system matrix is needed for
+evaluation of the profiled log-likelihood.  The same is true of the
+profiled the logarithm of the REML criterion, which we define later.
+
+\section{The generalized least squares approach to linear mixed models}
+\label{sec:GLS}
+
+Another common approach to linear mixed models is to derive the
+marginal variance-covariance matrix of $\bm{\mathcal{Y}}$ as a
+function of $\bm\theta$ and use that to determine the conditional
+estimates, $\widehat{\bm\beta}(\bm\theta)$, as the solution of a
+generalized least squares (GLS) problem.  In the notation of
+\S\ref{sec:Definition} the marginal mean of $\bm{\mathcal{Y}}$ is
+$\mathrm{E}[\bm{\mathcal{Y}}]=\bm X\bm\beta$ and the marginal
+variance-covariance matrix is
+\begin{equation}
+  \label{eq:marginalvarcovY}
+  \mathrm{Var}(\bm{\mathcal{Y}})=\sigma^2\left(\bm I_n+\bm Z\bm T\bm
+    S\bm S\bm T\trans\bm Z\trans\right)=\sigma^2\left(\bm I_n+\bm
+    A\trans\bm A\right) =\sigma^2\bm V(\bm\theta) ,
+\end{equation}
+where $\bm V(\bm\theta)=\bm I_n+\bm A\trans\bm A$.
+
+The conditional estimates of $\bm\beta$ are often written as
+\begin{equation}
+  \label{eq:condbeta}
+  \widehat{\bm\beta}(\bm\theta)=\left(\bm X\trans\bm V^{-1}\bm
+    X\right)^{-1}\bm X\trans\bm V^{-1}\bm y
+\end{equation}
+but, of course, this formula is not suitable for computation.  The
+matrix $\bm V(\bm\theta)$ is a symmetric $n\times n$ positive definite
+matrix and hence has a Cholesky factor.  However, this factor is
+$n\times n$, not $q\times q$, and $n$ is always larger than $q$ ---
+sometimes orders of magnitude larger.  Blithely writing a formula in
+terms of $\bm V^{-1}$ when $\bm V$ is $n\times n$, and $n$ can be in
+the millions does not a computational formula make.
+
+\subsection{Relating the GLS approach to the Cholesky factor}
+\label{sec:GLStoL}
+
+We can use the fact that
+\begin{equation}
+  \label{eq:Vinv}
+  \bm V^{-1}(\bm\theta)=\left(\bm I_n+\bm A\trans\bm A\right)^{-1}=
+  \bm I_n-\bm A\trans\left(\bm I_q+\bm A\bm A\trans\right)^{-1}\bm A
+\end{equation}
+to relate the GLS problem to the PLS problem.  One way to establish
+(\ref{eq:Vinv}) is simply to show that the product
+\begin{multline*}
+  (\bm I+\bm A\trans\bm A)\left(\bm I-\bm A\trans\left(\bm I+\bm A\bm
+      A\trans\right)^{-1}\bm A\right)\\
+  \begin{aligned}
+    =&\bm I+\bm A\trans\bm A-\bm A\trans\left(\bm I+\bm A\bm
+      A\trans\right)
+    \left(\bm I+\bm A\bm A\trans\right)^{-1}\bm A\\
+    =&\bm I+\bm A\trans\bm A-\bm A\trans\bm A\\
+    =&\bm I .
+  \end{aligned}
+\end{multline*}
+Incorporating the permutation matrix $\bm P$ we have
+\begin{equation}
+  \label{eq:PLA}
+  \begin{aligned}
+    \bm V^{-1}(\bm\theta)=&\bm I_n-\bm A\trans\bm P\trans\bm P\left(\bm
+      I_q+\bm A\bm A\trans\right)^{-1}\bm P\trans\bm P\bm A\\
+    =&\bm I_n-\bm A\trans\bm P\trans(\bm L\bm L\trans)^{-1}\bm P\bm A\\
+    =&\bm I_n-\left(\bm L^{-1}\bm P\bm A\right)\trans\bm L^{-1}\bm P\bm A .
+  \end{aligned}
+\end{equation}
+Even in this form we would not want to routinely evaluate $\bm
+V^{-1}$.  However, (\ref{eq:PLA}) does allow us to simplify many
+common expressions.
+
+For example, the variance-covariance of the estimator $\widehat{\bm
+  \beta}$, conditional on $\bm\theta$ and $\sigma$, can be expressed as
+\begin{equation}
+  \label{eq:varcovbeta}
+  \begin{aligned}
+  \sigma^2\left(\bm X\trans\bm V^{-1}(\bm\theta)\bm X\right)^{-1}
+  =&\sigma^2\left(\bm X\trans\bm X-\left(\bm L^{-1}\bm P\bm
+      A\bm X\right)\trans\left(\bm L^{-1}\bm P\bm A\bm
+      X\right)\right)^{-1}\\
+  =&\sigma^2\left(\bm X\trans\bm X-\bm R_{\bm Z\bm X}\trans\bm
+    R_{\bm Z\bm X}\right)^{-1}\\
+    =&\sigma^2\left(\bm R_{\bm X}\trans\bm R_{\bm X}\right)^{-1} .
+  \end{aligned}
+\end{equation}
+
+\section{Trace of the ``hat'' matrix}
+\label{sec:hatTrace}
+
+Another calculation that is of interest to some is the
+the trace of the ``hat'' matrix, which can be written as
+\begin{multline}
+  \label{eq:hatTrace}
+  \tr\left(\begin{bmatrix}\bm A\trans&\bm X\end{bmatrix}
+    \left(\begin{bmatrix}\bm A\trans&\bm X\\\bm I&\bm0\end{bmatrix}\trans
+      \begin{bmatrix}\bm A\trans&\bm X\\\bm I&\bm0\end{bmatrix}\right)^{-1}
+    \begin{bmatrix}\bm A\\\bm X\trans\end{bmatrix}\right)\\
+  = \tr\left(\begin{bmatrix}\bm A\trans&\bm X\end{bmatrix}
+    \left(\begin{bmatrix}\bm L&\bm0\\
+        \bm R_{\bm{ZX}}\trans&\bm R_{\bm X}\trans\end{bmatrix}
+      \begin{bmatrix}\bm L\trans&\bm R_{\bm{ZX}}\\
+        \bm0&\bm R_{\bm X}\end{bmatrix}\right)^{-1}
+    \begin{bmatrix}\bm A\\\bm X\trans\end{bmatrix}\right)
+\end{multline}
+
+\end{document}
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/lme4/doc/Theory.Rnw
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/lme4/doc/Theory.Rnw	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/lme4/doc/Theory.Rnw	(revision 3761)
@@ -0,0 +1,1255 @@
+%%\VignetteIndexEntry{Computational Methods}
+%%\VignetteDepends{lme4}
+%%\VignetteEngine{knitr::knitr}
+\documentclass[12pt]{article}
+\usepackage{amsmath,amsfonts,bm}
+\usepackage[authoryear,round]{natbib}
+\bibliographystyle{plainnat}
+\title{Computational methods for mixed models}
+\author{Douglas Bates\\Department of Statistics\\%
+  University of Wisconsin -- Madison}
+\newcommand{\code}[1]{\texttt{\small{#1}}}
+\newcommand{\package}[1]{\textsf{\small{#1}}}
+\newcommand{\trans}{\ensuremath{^\prime}}
+\renewcommand{\vec}{\operatorname{vec}}
+\newcommand{\diag}{\operatorname{diag}}
+\newcommand{\bc}[1]{\ensuremath{\bm{\mathcal{#1}}}}
+<<preliminaries,include=FALSE>>=
+knitr::opts_chunk$set(include=FALSE)
+options(width=65,digits=5)
+#library(lme4)
+@
+
+\begin{document}
+\maketitle
+
+\begin{abstract}
+  The \package{lme4} package provides R functions to fit and analyze
+  several different types of mixed-effects models, including linear
+  mixed models, generalized linear mixed models and nonlinear mixed
+  models.  In this vignette we describe the formulation of these
+  models and the computational approach used to evaluate or
+  approximate the log-likelihood of a model/data/parameter value
+  combination.
+\end{abstract}
+
+\section{Introduction}
+\label{sec:intro}
+
+The \package{lme4} package provides \code{R} functions to fit and analyze
+linear mixed models, generalized linear mixed models and nonlinear
+mixed models.  These models are called \emph{mixed-effects models} or,
+more simply, \emph{mixed models} because they incorporate both
+\emph{fixed-effects} parameters, which apply to an entire population
+or to certain well-defined and repeatable subsets of a population, and
+\emph{random effects}, which apply to the particular experimental
+units or observational units in the study.  Such models are also
+called \emph{multilevel} models because the random effects represent
+levels of variation in addition to the per-observation noise term that
+is incorporated in common statistical models such as linear
+regression models, generalized linear models and nonlinear regression
+models.
+
+We begin by describing common properties of these mixed models and the
+general computational approach used in the \package{lme4} package. The
+estimates of the parameters in a mixed model are determined as the
+values that optimize an objective function --- either the likelihood
+of the parameters given the observed data, for maximum likelihood
+(ML) estimates, or a related objective function called the REML
+criterion.  Because this objective function must be evaluated at many
+different values of the model parameters during the optimization
+process, we focus on the evaluation of the objective function and a
+critical computation in this evaluation --- determining the solution to a
+penalized, weighted least squares (PWLS) problem.
+
+The dimension of the solution of the PWLS problem can be very large,
+perhaps in the millions.  Furthermore, such problems must be solved
+repeatedly during the optimization process to determine parameter
+estimates.  The whole approach would be infeasible were it not for the
+fact that the matrices determining the PWLS problem are sparse and we
+can use sparse matrix storage formats and sparse matrix computations
+\citep{davis06:csparse_book}. In particular, the whole computational
+approach hinges on the extraordinarily efficient methods for
+determining the Cholesky decomposition of sparse, symmetric,
+positive-definite matrices embodied in the CHOLMOD library of C
+functions \citep{Cholmod}.
+
+% The three types of mixed models -- linear, generalized linear and
+% nonlinear -- share common characteristics in that the model is
+% specified in whole or in part by a \emph{mixed model formula} that
+% describes a \emph{linear predictor} and a variance-covariance
+% structure for the random effects.  In the next section we describe
+% the mixed model formula and the forms of these matrices.  The
+% following section presents a general formulation of the Laplace
+% approximation to the log-likelihood of a mixed model.
+
+% In subsequent sections we describe computational methods for specific
+% kinds of mixed models.  In particular, we should how a profiled
+% log-likelihood for linear mixed models, and for some nonlinear mixed
+% models, can be evaluated exactly.
+
+In the next section we describe the general form of the mixed models
+that can be represented in the \package{lme4} package and the
+computational approach embodied in the package.  In the following
+section we describe a particular form of mixed model,
+called a linear mixed model, and the computational details for those
+models.  In the fourth section we describe computational methods for
+generalized linear mixed models, nonlinear mixed models and
+generalized nonlinear mixed models.
+
+
+\section{Formulation of mixed models}
+\label{sec:form-mixed-models}
+
+A mixed-effects model incorporates two vector-valued random variables:
+the $n$-dimensional response vector, $\bc Y$, and the $q$-dimensional
+random effects vector, $\bc B$. We observe the value, $\bm y$, of $\bc Y$.
+We do not observe the value of $\bc B$.
+
+The random variable $\bc Y$ may be continuous or discrete.  That is,
+the observed data, $\bm y$, may be on a continuous scale or they may
+be on a discrete scale, such as binary responses or responses
+representing a count. In our formulation, the random variable $\bc B$
+is always continous.
+
+We specify a mixed model by describing the unconditional distribution
+of $\bc B$ and the conditional distribution $(\bc Y|\bc B=\bm b)$.
+
+\subsection{The unconditional distribution of $\bc B$}
+\label{sec:uncond-distr-B}
+
+In our formulation, the unconditional distribution of $\bc B$ is
+always a $q$-dimensional multivariate Gaussian (or ``normal'')
+distribution with mean $\bm 0$ and with a parameterized covariance
+matrix,
+\begin{equation}
+  \label{eq:2}
+  \bc B\sim\mathcal{N}\left(\bm 0,\sigma^2\bm\Lambda(\bm\theta)
+  \bm\Lambda\trans(\bm\theta)\right) .
+\end{equation}
+
+The scalar, $\sigma$, in (\ref{eq:2}), is called the \emph{common scale
+  parameter}.  As we will see later, not all types of mixed models
+incorporate this parameter. We will include $\sigma^2$ in the general
+form of the unconditional distribution of $\bc B$ with the
+understanding that, in some models, $\sigma\equiv 1$.
+
+The $q\times q$ matrix $\bm\Lambda(\bm\theta)$, which is a left factor
+of the covariance matrix (when $\sigma=1$) or the relative covariance
+matrix (when $\sigma\ne 1$), depends on an $m$-dimensional parameter
+$\bm\theta$.  Typically $m\ll q$; in the examples we show below it is
+always the case that $m<5$, even when $q$ is in the thousands.  The
+fact that $m$ is very small is important because, as we shall see,
+determining the parameter estimates in a mixed model can be expressed
+as an optimization problem with respect to $\bm\theta$ only.
+
+The parameter $\bm\theta$ may be, and typically is, subject to
+constraints. For ease of computation, we require that the constraints
+be expressed as ``box'' constraints of the form
+$\theta_{iL}\le\theta_i\le\theta_{iU},i=1,\dots,m$ for constants
+$\theta_{iL}$ and $\theta_{iU}, i=1,\dots,m$.  We shall write the set
+of such constraints as $\bm\theta_L\le\bm\theta\le\bm\theta_R$.  The matrix
+$\bm\Lambda(\bm\theta)$ is required to be non-singular
+(i.e.{} invertible) when $\bm\theta$ is not on the boundary.
+
+\subsection{The conditional distribution,  $(\bc Y|\bc B=\bm b)$}
+\label{sec:cond-distr-YB}
+
+The conditional distribution, $(\bc Y|\bc B=\bm b)$, must satisfy:
+\begin{enumerate}
+\item The conditional mean, $\bm\mu_{\bc Y|\bc B}(\bm b) =
+  \mathrm{E}[\bc Y|\bc B=\bm b]$, depends on $\bm b$ only through the
+  value of the \emph{linear predictor}, $\bm Z\bm b+\bm X\bm\beta$,
+  where $\bm\beta$ is the $p$-dimensional \emph{fixed-effects}
+  parameter vector and the \emph{model matrices}, $\bm Z$ and $\bm X$,
+  are fixed matrices of the appropriate dimension.  That is, the
+  two model matrices must have the same number of rows and must have
+  $q$ and $p$ columns, respectively.  The number of rows
+  in $\bm Z$ and $\bm X$ is a multiple of $n$, the dimension of $\bm y$.
+\item The scalar distributions, $(\mathcal{Y}_i|\bc B=\bm
+  b),i=1,\dots,n$, all have the same form and are completely
+  determined by the conditional mean, $\bm\mu_{\bc Y|\bc B}(\bm b)$
+  and, at most, one additional parameter, $\sigma$, which is the
+  common scale parameter.
+\item The scalar distributions, $(\mathcal{Y}_i|\bc B=\bm
+  b),i=1,\dots,n$, are independent.  That is, the components of
+  $\bc Y$ are \emph{conditionally independent} given $\bc B$.
+\end{enumerate}
+
+An important special case of the conditional distribution is the
+multivariate Gaussian distribution of the form
+\begin{equation}
+  \label{eq:1}
+  (\bc Y|\bc B=\bm b)\sim\mathcal{N}(\bm Z\bm b+\bm
+  X\bm\beta,\sigma^2\bm I_n)
+\end{equation}
+where $\bm I_n$ denotes the identity matrix of size $n$.
+In this case the conditional mean, $\bm\mu_{\bc Y|\bc B}(\bm b)$, is
+exactly the linear predictor, $\bm Z\bm b+\bm X\bm\beta$, a situation
+we will later describe as being an ``identity link'' between the
+conditional mean and the linear predictor.  Models with conditional
+distribution (\ref{eq:1}) are called \emph{linear mixed models}.
+
+\subsection{A change of variable to ``spherical'' random effects}
+\label{sec:change-vari-spher}
+
+Because the conditional distribution $(\bc Y|\bc B=\bm b)$ depends on
+$\bm b$ only through the linear predictor, it is easy to express the
+model in terms of a linear transformation of $\bc B$.  We define the
+linear transformation from a $q$-dimensional ``spherical'' Gaussian
+random variable, $\bc U$, to $\bc B$ as
+\begin{equation}
+  \label{eq:3}
+  \bc B=\bm\Lambda(\bm\theta)\bc U,\quad
+  \bc U\sim\mathcal{N}(\bm 0,\sigma^2\bm I_q).
+\end{equation}
+(The term ``spherical'' refers to the fact that contours of constant
+probability density for $\bc U$ are spheres centered at the mean ---
+in this case, $\bm0$.)
+
+When $\bm\theta$ is not on the boundary this is an invertible
+transformation.  When $\bm\theta$ is on the boundary the
+transformation can fail to be invertible.  However, we will only need
+to be able to express $\bc B$ in terms of $\bc U$ and that
+transformation is well-defined, even when $\bm\theta$ is on the
+boundary.
+
+The linear predictor, as a function of $\bm u$, is
+\begin{equation}
+  \label{eq:4}
+  \bm\gamma(\bm u)=\bm Z\bm\Lambda(\bm\theta)\bm u
+  + \bm X\bm\beta.
+\end{equation}
+When we wish to emphasize the role of the model parameters,
+$\bm\theta$ and $\bm\beta$, in the formulation of $\bm\gamma$, we will
+write the linear predictor as $\bm\gamma(\bm u,\bm\theta,\bm\beta)$.
+
+\subsection{The conditional density $(\bc U|\bc Y=\bm y)$}
+\label{sec:cond-dens-bc}
+
+Because we observe $\bm y$ and do not observe $\bm b$ or $\bm u$, the
+conditional distribution of interest, for the purposes of statistical
+inference, is $(\bc U|\bc Y=\bm y)$ (or, equivalently, $(\bc B|\bc
+Y=\bm y)$).  This conditional distribution is always a continuous
+distribution with conditional probability density $f_{\bc U|\bc
+  Y}(\bm u|\bm y)$.
+
+We can evaluate $f_{\bc U|\bc Y}(\bm u|\bm y)$ , up to a constant, as
+the product of the unconditional density, $f_{\bc U}(\bm u)$, and the
+conditional density (or the probability mass function, whichever is
+appropriate), $f_{\bc Y|\bc U}(\bm y|\bm u)$.  We write this
+unnormalized conditional density as
+\begin{equation}
+  \label{eq:5}
+  h(\bm u|\bm y,\bm\theta,\bm\beta,\sigma) =
+  f_{\bc Y|\bc U}(\bm y|\bm u,\bm\theta,\bm\beta,\sigma)
+  f_{\bc U}(\bm u|\sigma) .
+\end{equation}
+
+We say that $h$ is the ``unnormalized'' conditional density because
+all we know is that the conditional density is proportional to $h(\bm
+u|\bm y,\bm\theta,\bm\beta,\sigma)$.  To obtain the conditional
+density we must normalize $h$ by dividing by the value of the integral
+\begin{equation}
+  \label{eq:6}
+  L(\bm\theta,\bm\beta,\sigma|\bm y) =
+  \int_{\mathbb{R}^q}h(\bm u|\bm y,\bm\theta,\bm\beta,\sigma)\,d\bm u .
+\end{equation}
+We write the value of the integral (\ref{eq:6}) as
+$L(\bm\theta,\bm\beta,\sigma|\bm y)$ because it is exactly the
+\emph{likelihood} of the parameters $\bm\theta$, $\bm\beta$ and
+$\sigma$, given the observed data $\bm y$.  The \emph{maximum
+  likelihood (ML) estimates} of these parameters are the values that
+maximize $L$.
+
+\subsection{Determining the ML estimates}
+\label{sec:DeterminingML}
+
+The general problem of maximizing $L(\bm\theta,\bm\beta,\sigma|\bm y)$
+with respect to $\bm\theta$, $\bm\beta$ and $\sigma$ can be formidable
+because each evaluation of this function involves a potentially
+high-dimensional integral and because the dimension of $\bm\beta$ can
+be large.  However, this general optimization problem can be split
+into manageable subproblems.  Given a value of $\bm\theta$ we can
+determine the \emph{conditional mode}, $\tilde{\bm u}(\bm\theta)$, of
+$\bm u$ and the \emph{conditional estimate},
+$\tilde{\bm\beta}(\bm\theta)$ simultaneously using \emph{penalized,
+  iteratively re-weighted least squares} (PIRLS).  The conditional
+mode and the conditional estimate are defined as
+\begin{equation}
+  \label{eq:condmode}
+  \begin{bmatrix}
+    \tilde{\bm u}(\bm\theta)\\
+    \tilde{\bm\beta}(\bm\theta)
+  \end{bmatrix}=\arg\max_{\bm u,\bm\beta}h(\bm u|\bm
+  y,\bm\theta,\bm\beta,\sigma) .
+\end{equation}
+(It may look as if we have missed the dependence on $\sigma$ on the
+left-hand side but it turns out that the scale parameter does not
+affect the location of the optimal values of quantities in the linear
+predictor.)
+
+As is common in such optimization problems, we re-express the conditional
+density on the \emph{deviance scale}, which is negative twice the
+logarithm of the density, where the optimization becomes
+\begin{equation}
+  \label{eq:condmode2}
+  \begin{bmatrix}
+    \tilde{\bm u}(\bm\theta)\\
+    \tilde{\bm\beta}(\bm\theta)
+  \end{bmatrix}=\arg\min_{\bm u,\bm\beta}-2\log\left(h(\bm u|\bm
+  y,\bm\theta,\bm\beta,\sigma)\right) .
+\end{equation}
+It is this optimization problem that can be solved quite efficiently
+using PIRLS.  In fact, for linear mixed models, which are described in
+the next section, $\tilde{\bm u}(\bm\theta)$ and
+$\tilde{\bm\beta}(\bm\theta)$ can be directly evaluated.
+
+The second-order Taylor series expansion of $-2\log h$ at $\tilde{\bm
+  u}(\bm\theta)$ and $\tilde{\bm\beta}(\bm\theta)$ provides the
+Laplace approximation to the profiled deviance.  Optimizing this
+function with respect to $\bm\theta$ provides the ML estimates of
+$\bm\theta$, from which the ML estimates of $\bm\beta$ and $\sigma$
+(if used) are derived.
+
+\section{Methods for linear mixed models}
+\label{sec:pwls-problem}
+
+As indicated in the introduction, a critical step in our methods for
+determining the maximum likelihood estimates of the parameters in a
+mixed model is solving a penalized, weighted least squares (PWLS)
+problem.  We will motivate the general form of the PWLS problem by
+first considering computational methods for linear mixed models that
+result in a penalized least squares (PLS) problem.
+
+Recall from \S\ref{sec:cond-distr-YB} that, in a linear mixed model,
+both the conditional distribution, $(\bc Y|\bc U=\bm u)$, and the
+unconditional distribution, $\bc U$, are spherical Gaussian
+distributions and that the conditional mean, $\bm\mu_{\bc Y|\bc U}(\bm
+u)$, is the linear predictor, $\bm\gamma(\bm u)$.  Because all the
+distributions determining the model are continuous distributions, we
+consider their densities.  On the deviance scale these are
+\begin{equation}
+  \label{eq:7}
+  \begin{aligned}
+    -2\log(f_{\bc U}(\bm u))&=q\log(2\pi\sigma^2)+\frac{\|\bm u\|^2}{\sigma^2}\\
+    -2\log(f_{\bc Y|\bc U}(\bm y|\bm u))&=n\log(2\pi\sigma^2)+
+    \frac{\|\bm y-\bm Z\bm\Lambda(\bm\theta)\bm u-\bm X\bm\beta\|^2}{\sigma^2}\\
+    -2\log(h(\bm u|\bm y,\bm\theta,\bm\beta,\sigma))
+    &= (n+q)\log(2\pi\sigma^2)+
+    \frac{\|\bm y-\bm\gamma(\bm u,\bm\theta,\bm\beta)\|^2+\|\bm
+      u\|^2}{\sigma^2}\\
+    &= (n+q)\log(2\pi\sigma^2)+
+    \frac{d(\bm u|\bm y,\bm\theta,\bm\beta)}{\sigma^2}
+  \end{aligned}
+\end{equation}
+
+In (\ref{eq:7}) the \emph{discrepancy} function,
+\begin{equation}
+  \label{eq:9}
+    d(\bm u|\bm y,\bm\theta,\bm\beta) =
+    \|\bm y-\bm\gamma(\bm u,\bm\theta,\bm\beta)\|^2+\|\bm u\|^2
+\end{equation}
+has the form of a penalized residual sum of squares in that the first
+term, $\|\bm y-\bm\gamma(\bm u,\bm\theta,\bm\beta)\|^2$ is
+the residual sum of squares for $\bm y$, $\bm u$, $\bm\theta$ and
+$\bm\beta$ and the second term, $\|\bm u\|^2$, is a penalty on the
+size of $\bm u$.  Notice that the discrepancy does not depend on the
+common scale parameter, $\sigma$.
+
+\subsection{The canonical form of the discrepancy}
+\label{sec:conditional-mode-bm}
+
+Using a so-called ``pseudo data'' representation, we can write the
+discrepancy as a residual sum of squares for a regression model that
+is linear in both $\bm u$ and $\bm\beta$
+\begin{equation}
+  \label{eq:10}
+  d(\bm u|\bm y,\bm\theta,\bm\beta) =\left\|
+    \begin{bmatrix} \bm y\\\bm 0 \end{bmatrix} -
+    \begin{bmatrix}
+      \bm Z\bm\Lambda(\bm\theta) & \bm X \\
+      \bm I_q & \bm0
+    \end{bmatrix}
+    \begin{bmatrix}\bm u\\\bm\beta\end{bmatrix}
+  \right\|^2 .
+\end{equation}
+The term ``pseudo data'' reflects the fact that we have added $q$
+``pseudo observations'' to the observed response, $\bm y$, and to the
+linear predictor, $\bm\gamma(\bm u,\bm\theta,\bm\beta)=\bm
+Z\bm\Lambda(\bm\theta)\bm u+\bm X\bm\beta$, in such a way that their
+contribution to the overall residual sum of squares is exactly the
+penalty term in the discrepancy.
+
+In the form (\ref{eq:10}) we can see that the discrepancy is a
+quadratic form in both $\bm u$ and $\bm\beta$.  Furthermore, because
+we require that $\bm X$ has full column rank, the discrepancy is a
+positive-definite quadratic form in $\bm u$ and $\bm\beta$ that is
+minimized at $\tilde{\bm u}(\bm\theta)$ and
+$\tilde{\bm\beta}(\bm\theta)$ satisfying
+\begin{equation}
+  \label{eq:13}
+  \begin{bmatrix}
+    \bm\Lambda\trans(\bm\theta)\bm Z\trans\bm Z\bm\Lambda(\theta)
+    +\bm I_q&\bm\Lambda\trans(\bm\theta)\bm Z\trans\bm X\\
+    \bm X\trans\bm Z\bm\Lambda(\theta) &\bm X\trans\bm X
+  \end{bmatrix}
+  \begin{bmatrix}
+    \tilde{\bm u}(\bm\theta)\\\tilde{\bm\beta}(\bm\theta)
+  \end{bmatrix} =
+  \begin{bmatrix}
+    \bm\Lambda\trans(\bm\theta)\bm Z\trans\bm y\\
+    \bm X\trans\bm y
+  \end{bmatrix}
+\end{equation}
+
+An effective way of determining the solution to a sparse, symmetric,
+positive definite system of equations such as (\ref{eq:13}) is the
+sparse Cholesky decomposition \citep{davis06:csparse_book}.  If $\bm A$
+is a sparse, symmetric positive definite matrix then the sparse
+Cholesky factor with fill-reducing permutation $\bm P$ is the
+lower-triangular matrix $\bm L$ such that
+\begin{equation}
+  \label{eq:14}
+  \bm L\bm L\trans=\bm P\bm A\bm P\trans .
+\end{equation}
+(Technically, the factor $\bm L$ is only determined up to changes in
+the sign of the diagonal elements.  By convention we require the
+diagonal elements to be positive.)
+
+The fill-reducing permutation represented by the permutation matrix
+$\bm P$, which is determined from the pattern of nonzeros in $\bm A$
+but does not depend on particular values of those nonzeros, can have a
+profound impact on the number of nonzeros in $\bm L$ and hence on the
+speed with which $\bm L$ can be calculated from $\bm A$.
+
+In most applications of linear mixed models the matrix $\bm
+Z\bm\Lambda(\bm\theta)$ is sparse while $\bm X$ is dense or close to
+it so the permutation matrix $\bm P$ can be restricted to the form
+\begin{equation}
+  \label{eq:15}
+  \bm P=\begin{bmatrix}\bm P_{\bm Z}&\bm0\\
+    \bm0&\bm P_{\bm X}\end{bmatrix}
+\end{equation}
+without loss of efficiency.  In fact, in most cases we can set $\bm
+P_{\bm X}=\bm I_p$ without loss of efficiency.
+
+Let us assume that the permutation matrix is required to be of the
+form (\ref{eq:15}) so that we can write the Cholesky factorization for
+the positive definite system (\ref{eq:13}) as
+\begin{multline}
+  \label{eq:16}
+  \begin{bmatrix}
+    \bm L_{\bm Z}&\bm0\\\bm L_{\bm{XZ}}&\bm L_{\bm X}
+  \end{bmatrix}
+  \begin{bmatrix}
+    \bm L_{\bm Z}&\bm0\\\bm L_{\bm{XZ}}&\bm L_{\bm X}
+  \end{bmatrix}\trans =\\
+  \begin{bmatrix}\bm P_{\bm Z}&\bm0\\
+    \bm0&\bm P_{\bm X}\end{bmatrix}
+  \begin{bmatrix}
+    \bm\Lambda\trans(\bm\theta)\bm Z\trans\bm Z\bm\Lambda(\theta)
+    +\bm I_q&\bm\Lambda\trans(\bm\theta)\bm Z\trans\bm X\\
+    \bm X\trans\bm Z\bm\Lambda(\theta) &\bm X\trans\bm X
+  \end{bmatrix}
+  \begin{bmatrix}\bm P_{\bm Z}&\bm0\\
+    \bm0&\bm P_{\bm X}\end{bmatrix}\trans .
+\end{multline}
+The discrepancy can now be written in the canonical form
+\begin{equation}
+  \label{eq:17}
+  d(\bm u|\bm y,\bm\theta,\bm\beta) =\tilde{d}(\bm y,\bm\theta) +
+  \left\|
+    \begin{bmatrix}
+      \bm L_{\bm Z}\trans&\bm L_{\bm{XZ}}\trans\\
+      \bm 0&\bm L_{\bm X}\trans
+    \end{bmatrix}
+    \begin{bmatrix}
+      \bm P_{\bm Z}(\bm u-\tilde{\bm u})\\
+      \bm P_{\bm X}(\bm\beta-\tilde{\bm\beta})
+    \end{bmatrix}
+  \right\|^2
+\end{equation}
+where
+\begin{equation}
+  \label{eq:18}
+  \tilde{d}(\bm y,\bm\theta)=
+  d(\tilde{\bm u}(\bm\theta)|\bm y,\bm\theta,\tilde{\bm\beta}(\bm\theta))
+\end{equation}
+is the minimum discrepancy, given $\bm\theta$.
+
+
+\subsection{The profiled likelihood for linear mixed models}
+\label{sec:prof-log-likel}
+
+Substituting (\ref{eq:17}) into (\ref{eq:7}) provides the unnormalized
+conditional density $h(\bm u|\bm y,\bm\theta,\bm\beta,\sigma)$ on the
+deviance scale as
+\begin{multline}
+  \label{eq:32}
+  -2\log(h(\bm u|\bm y,\bm\theta,\bm\beta,\sigma))\\=
+  (n+q)\log(2\pi\sigma^2)+\frac{\tilde{d}(\bm y,\bm\theta) +
+  \left\|
+    \begin{bmatrix}
+      \bm L_{\bm Z}\trans&\bm L_{\bm{XZ}}\trans\\
+      \bm 0&\bm L_{\bm X}\trans
+    \end{bmatrix}
+    \begin{bmatrix}
+      \bm P_{\bm Z}(\bm u-\tilde{\bm u})\\
+      \bm P_{\bm X}(\bm\beta-\tilde{\bm\beta})
+    \end{bmatrix}
+  \right\|^2}{\sigma^2} .
+\end{multline}
+As shown in Appendix \ref{sec:integr-quadr-devi}, the integral of a
+quadratic form on the deviance scale, such as (\ref{eq:32}), is easily
+evaluated, providing the log-likelihood,
+$\ell(\bm\theta,\bm\beta,\sigma|\bm y)$, as
+\begin{multline}
+  \label{eq:lmmdev}
+  -2\ell(\bm\theta,\bm\beta,\sigma|\bm y)\\
+  =-2\log\left(L(\bm\theta,\bm\beta,\sigma|\bm y)\right)\\
+  =n\log(2\pi\sigma^2)+\log(|\bm L_{\bm Z}|^2)+\frac{\tilde{d}(\bm y,\bm\theta) +
+  \left\|\bm L_{\bm X}\trans\bm P_{\bm X}(\bm\beta-\tilde{\bm\beta})\right\|^2}{\sigma^2},
+\end{multline}
+from which we can see that the conditional estimate of $\bm\beta$,
+given $\bm\theta$, is $\tilde{\bm\beta}(\bm\theta)$ and the conditional
+estimate of $\sigma$, given $\bm\theta$, is
+\begin{equation}
+  \label{eq:condsigma}
+  \tilde{\sigma^2}(\bm\theta)= \frac{\tilde{d}(\bm\theta|\bm y)}{n} .
+\end{equation}
+Substituting these conditional estimates into (\ref{eq:lmmdev}) produces the
+\emph{profiled likelihood}, $\tilde{L}(\bm\theta|\bm y)$, as
+\begin{equation}
+  \label{eq:19}
+  -2\tilde{\ell}(\bm\theta|\bm y))=
+  \log(|\bm L_{\bm Z}(\bm\theta)|^2)+
+  n\left(1+\log\left(\frac{2\pi\tilde{d}(\bm y,\bm\theta)}{n}\right)\right) .
+\end{equation}
+The maximum likelihood estimate of $\bm\theta$ can then be expressed as
+\begin{equation}
+  \label{eq:29}
+  \widehat{\bm\theta}_L=\arg\min_{\bm\theta}
+  \left(-2\tilde{\ell}(\bm\theta|\bm y)\right) .
+\end{equation}
+from which the ML estimates of $\sigma^2$ and $\bm\beta$ are
+evaluated as
+\begin{align}
+  \label{eq:30}
+  \widehat{\sigma^2_L}&=
+  \frac{\tilde{d}(\widehat{\bm\theta}_L,\bm y)}{n}\\
+  \widehat{\bm\beta}_L&=\tilde{\bm\beta}(\widehat{\bm\theta}_L) .
+\end{align}
+
+The important thing to note about optimizing the profiled likelihood,
+(\ref{eq:19}), is that it is a $m$-dimensional optimization problem
+and typically $m$ is very small.
+
+\subsection{The REML criterion}
+\label{sec:reml-criterion}
+
+In practice the so-called REML estimates of variance components are
+often preferred to the maximum likelihood estimates.  (``REML'' can be
+considered to be an acronym for ``restricted'' or ``residual'' maximum
+likelihood, although neither term is completely accurate because these
+estimates do not maximize a likelihood.) We can motivate the use of
+the REML criterion by considering a linear regression model,
+\begin{equation}
+  \label{eq:20}
+  \bc Y\sim\mathcal{N}(\bm X\bm\beta,\sigma^2\bm I_n),
+\end{equation}
+in which we typically estimate $\sigma^2$ by
+\begin{equation}
+  \label{eq:21}
+  \widehat{\sigma^2_R}=\frac{\|\bm y-\bm X\widehat{\bm\beta}\|^2}{n-p}
+\end{equation}
+even though the maximum likelihood estimate of $\sigma^2$ is
+\begin{equation}
+  \label{eq:22}
+  \widehat{\sigma^2_{L}}=\frac{\|\bm y-\bm
+    X\widehat{\bm\beta}\|^2}{n} .
+\end{equation}
+
+The argument for preferring $\widehat{\sigma^2_R}$ to
+$\widehat{\sigma^2_{L}}$ as an estimate of $\sigma^2$ is that the
+numerator in both estimates is the sum of squared residuals at
+$\widehat{\bm\beta}$ and, although the residual vector $\bm y-\bm
+X\bm\beta$ is an $n$-dimensional vector, the residual at
+$\widehat{\bm\theta}$ satisfies $p$ linearly independent constraints,
+$\bm X\trans(\bm y-\bm X\widehat{\bm\beta})=\bm 0$. That is, the residual at
+$\widehat{\bm\theta}$ is the projection of the observed response
+vector, $\bm y$, into an $(n-p)$-dimensional linear subspace of the
+$n$-dimensional response space.  The estimate $\widehat{\sigma^2_R}$
+takes into account the fact that $\sigma^2$ is estimated from
+residuals that have only $n-p$ \emph{degrees of freedom}.
+
+The REML criterion for determining parameter estimates
+$\widehat{\bm\theta}_R$ and $\widehat{\sigma_R^2}$ in a linear mixed
+model has the property that these estimates would
+specialize to $\widehat{\sigma^2_R}$ from (\ref{eq:21}) for a linear
+regression model.  Although not usually derived in this way, the REML
+criterion can be expressed as
+\begin{equation}
+  \label{eq:23}
+  c_R(\bm\theta,\bm\sigma|\bm y)=-2\log
+  \int_{\mathbb{R}^p}L(\bm u|\bm
+  y,\bm\theta,\bm\beta,\sigma)\,d\bm\beta
+\end{equation}
+on the deviance scale.  The REML estimates $\widehat{\bm\theta}_R$ and
+$\widehat{\sigma_R^2}$ minimize $c_R(\bm\theta,\bm\sigma|\bm y)$.
+
+The profiled REML criterion, a function of $\bm\theta$ only, is
+\begin{equation}
+  \label{eq:24}
+  \tilde{c}_R(\bm\theta|\bm y)=
+  \log(|\bm L_{\bm Z}(\bm\theta)|^2|\bm L_{\bm X}(\bm\theta)|^2)+(n-p)
+  \left(1+\log\left(\frac{2\pi\tilde{d}(\bm\theta|\bm y)}{n-p}\right)\right)
+\end{equation}
+and the REML estimate of $\bm\theta$ is
+\begin{equation}
+  \label{eq:31}
+  \widehat{\bm\theta}_R =
+  \arg\min_{\bm\theta}\tilde{c}_R(\bm\theta,\bm y) .
+\end{equation}
+The REML estimate of $\sigma^2$ is
+$\widehat{\sigma^2_R}=\tilde{d}(\widehat{\bm\theta}_R|\bm y)/(n-p)$.
+
+It is not entirely clear how one would define a ``REML estimate'' of
+$\bm\beta$ because the REML criterion, $c_R(\bm\theta,\bm\sigma|\bm
+y)$, defined in (\ref{eq:23}), does not depend on $\bm\beta$.
+However, it is customary (and not unreasonable) to use
+$\widehat{\bm\beta}_R=\tilde{\bm\beta}(\widehat{\bm\theta}_R)$ as the REML
+estimate of $\bm\beta$.
+
+Note that the profiled REML criterion can be evaluated from a sparse
+Cholesky decomposition like that in (\ref{eq:16}) but without the
+requirement that the permutation can be applied to the columns of $\bm
+Z\bm\Lambda(\bm\theta)$ separately from the columns of $\bm X$.  That
+is, we can use a general fill-reducing permutation rather than the
+specific form (\ref{eq:15}) with separate permutations represented by
+$\bm P_{\bm Z}$ and $\bm P_{\bm X}$. This can be useful in cases where
+both $\bm Z$ and $\bm X$ are large and sparse.
+
+\subsection{Summary for linear mixed models}
+\label{sec:lmmsummary}
+
+A linear mixed model is characterized by the conditional distribution
+\begin{equation}
+  \label{eq:lmmcond}
+  (\bc Y|\bc U=\bm u)\sim\mathcal{N}(\bm\gamma(\bm
+  u,\bm\theta,\bm\beta),\sigma^2\bm I_n)\text{ where }
+  \bm\gamma(\bm u,\bm\theta,\bm\beta)=\bm Z\bm\Lambda(\bm\theta)\bm
+  u+\bm X\bm\beta
+\end{equation}
+and the unconditional distribution
+$\bc U\sim\mathcal{N}(\bm 0,\sigma^2\bm I_q)$.  The discrepancy
+function,
+\begin{displaymath}
+  d(\bm u|\bm y,\bm\theta,\bm\beta)=
+  \left\|\bm y-\bm\gamma(\bm u,\bm\theta,\bm\beta)\right\|^2+\|\bm u\|^2,
+\end{displaymath}
+is minimized at the conditional mode, $\tilde{\bm u}(\bm\theta)$, and
+the conditional estimate, $\tilde{\bm\beta}(\bm\theta)$, which are the
+solutions to the sparse, positive-definite linear system
+\begin{displaymath}
+  \begin{bmatrix}
+    \bm\Lambda\trans(\bm\theta)\bm Z\trans\bm Z\bm\Lambda(\theta)
+    +\bm I_q&\bm\Lambda\trans(\bm\theta)\bm Z\trans\bm X\\
+    \bm X\trans\bm Z\bm\Lambda(\theta) &\bm X\trans\bm X
+  \end{bmatrix}
+  \begin{bmatrix}
+    \tilde{\bm u}(\bm\theta)\\\tilde{\bm\beta}(\bm\theta)
+  \end{bmatrix} =
+  \begin{bmatrix}
+    \bm\Lambda\trans(\bm\theta)\bm Z\trans\bm y\\
+    \bm X\trans\bm y
+  \end{bmatrix} .
+\end{displaymath}
+In the process of solving this system we create the sparse left
+Cholesky factor, $L_{\bm Z}(\bm\theta)$, which is a lower triangular
+sparse matrix satisfying
+\begin{displaymath}
+  \bm L_{\bm Z}(\bm\theta)\bm L_{\bm Z}(\bm\theta)\trans=\bm P_{\bm
+    Z}\left(\bm\Lambda\trans(\bm\theta)\bm Z\trans\bm
+    Z\bm\Lambda(\theta)+\bm I_q\right)\bm P_{\bm Z}\trans
+\end{displaymath}
+where $\bm P_{\bm Z}$ is a permutation matrix representing a
+fill-reducing permutation formed from the pattern of nonzeros in $\bm
+Z\bm\Lambda(\bm\theta)$ for any $\bm\theta$ not on the boundary of the
+parameter region.  (The values of the nonzeros depend on $\bm\theta$
+but the pattern doesn't.)
+
+The profiled log-likelihood, $\tilde{\ell}(\bm\theta|\bm y)$, is
+\begin{displaymath}
+    -2\tilde{\ell}(\bm\theta|\bm y)=
+  \log(|\bm L_{\bm Z}(\bm\theta)|^2)+
+  n\left(1+\log\left(\frac{2\pi\tilde{d}(\bm y,\bm\theta)}{n}\right)\right)
+\end{displaymath}
+where $\tilde{d}(\bm y,\bm\theta)=d(\tilde{\bm u}(\bm\theta)|\bm
+y,\tilde{\bm\beta}(\bm\theta),\bm\theta)$.
+
+\section{Generalizing the discrepancy function}
+\label{sec:generalizations}
+
+Because one of the factors influencing the choice of implementation
+for linear mixed models is the extent to which the methods can also be
+applied to other mixed models, we describe several other classes of
+mixed models before discussing the implementation details for linear
+mixed models.  At the core of our methods for determining the maximum
+likelihood estimates (MLEs) of the parameters in the mixed model are
+methods for minimizing the discrepancy function with respect to the
+coefficients $\bm u$ and $\bm\beta$ in the linear predictor
+$\bm\gamma(\bm u,\bm\theta,\bm\beta)$.
+
+In this section we describe the general form of the discrepancy
+function that we will use and a penalized iteratively reweighted least
+squares (PIRLS) algorithm for determining the conditional modes
+$\tilde{\bm u}(\bm\theta)$ and $\tilde{\bm\beta}(\bm\theta)$.  We then
+describe several types of mixed models and the form of the discrepancy
+function for each.
+
+\subsection{A weighted residual sum of squares}
+\label{sec:weighted}
+
+As shown in \S\ref{sec:conditional-mode-bm}, the discrepancy function
+for a linear mixed model has the form of a penalized residual sum of
+squares from a linear model (\ref{eq:10}).  In this section we
+generalize that definition to
+\begin{equation}
+  \label{eq:11}
+  d(\bm u|\bm y,\bm\theta,\bm\beta) =\left\|\bm W^{1/2}(\bm\mu)
+    \left[\bm y-\bm\mu_{\bc Y|\bc U}(\bm u,\bm\theta,\bm\beta)\right]\right\|^2+
+  \|\bm 0-\bm u\|^2 .
+\end{equation}
+where $\bm W$ is an $n\times n$ diagonal matrix, called the
+\emph{weights matrix}, with positive diagonal elements and $\bm
+W^{1/2}$ is the diagonal matrix with the square roots of the weights
+on the diagonal.  The $i$th weight is inversely proportional to
+the conditional variances of $(\mathcal{Y}|\bc U=\bm u)$ and may
+depend on the conditional mean, $\bm\mu_{\bc Y|\bc U}$.
+
+We allow the conditional mean to be a nonlinear function of the linear
+predictor, but with certain restrictions.  We require that the
+mapping from $\bm u$ to $\bm\mu_{\bc Y|\bc U=\bm u}$ be expressed as
+\begin{equation}
+  \label{eq:uGammaEtaMu}
+  \bm u\;\rightarrow\;\bm\gamma\;\rightarrow\;\bm\eta\;\rightarrow\;\bm\mu
+\end{equation}
+where $\bm\gamma=\bm Z\bm\Lambda(\bm\theta)\bm u+\bm X\bm\beta$ is an
+$ns$-dimensional vector ($s > 0$) while $\bm\eta$ and $\bm\mu$ are
+$n$-dimensional vectors.
+
+The map $\bm\eta\rightarrow\bm\mu$ has the property that $\mu_i$
+depends only on $\eta_i$, $i=1,\dots,n$.  The map
+$\bm\gamma\rightarrow\bm\eta$ has a similar property in that, if we
+write $\bm\gamma$ as an $n\times s$ matrix $\bm\Gamma$ such that
+\begin{equation}
+  \label{eq:vecGamma}
+  \bm\gamma=\vec{\bm\Gamma}
+\end{equation}
+(i.e.{} concatenating the columns of $\bm\Gamma$ produces $\bm\gamma$)
+then $\eta_i$ depends only on the $i$th row of $\bm\Gamma$,
+$i=1,\dots,n$.  Thus the Jacobian matrix
+$\frac{d\bm\mu}{d\bm\eta\trans}$ is an $n\times n$ diagonal matrix and
+the Jacobian matrix $\frac{d\bm\eta}{d\bm\gamma\trans}$ is the
+horizontal concatenation of $s$ diagonal $n\times n$ matrices.
+
+For historical reasons, the function that maps $\eta_i$ to $\mu_i$ is
+called the \emph{inverse link} function and is written
+$\mu=g^{-1}(\eta)$.  The \emph{link function}, naturally, is
+$\eta=g(\mu)$.  When applied component-wise to vectors $\bm\mu$ or
+$\bm\eta$ we write these as $\bm\eta=\bm g(\bm\mu)$ and $\bm\mu=\bm
+g^{-1}(\bm\eta)$.
+
+Recall that the conditional distribution, $(\mathcal{Y}_i|\bc U=\bm
+u)$, is required to be independent of $(\mathcal{Y}_j|\bc U=\bm u)$
+for $i,j=1,\dots,n,\,i\ne j$ and that all the component conditional
+distributions must be of the same form and differ only according to
+the value of the conditional mean.
+
+Depending on the family of the conditional distributions, the allowable
+values of the $\mu_i$ may be in a restricted range.  For example, if
+the conditional distributions are Bernoulli then
+$0\le\mu_i\le1,i=1,\dots,n$. If the conditional distributions are
+Poisson then $0\le\mu_i,i=1,\dots,n$.  A characteristic of the link
+function, $g$, is that it must map the restricted range to an
+unrestricted range.  That is, a link function for the Bernoulli
+distribution must map $[0,1]$ to $[-\infty,\infty]$ and must be invertible
+within the range.
+
+The mapping from $\bm\gamma$ to $\bm\eta$ is defined by a function
+$m:\mathbb{R}^s\rightarrow\mathbb{R}$, called the
+\emph{nonlinear model} function, such that
+$\eta_i=m(\bm\gamma_i),i=1,\dots,n$ where $\bm\gamma_i$ is the $i$th
+row of $\bm\Gamma$.  The vector-valued function is $\bm\eta=\bm m(\bm\gamma)$.
+
+Determining the conditional modes, $\tilde{\bm u}(\bm y|\bm\theta)$,
+and $\tilde{\bm\beta}(\bm y|\bm\theta)$, that jointly minimize the
+discrepancy,
+\begin{equation}
+  \label{eq:12}
+  \begin{bmatrix}
+    \tilde{\bm u}(\bm y|\bm\theta)\\
+    \tilde{\bm\beta}(\bm y|\bm\theta)
+  \end{bmatrix}
+  =\arg\min_{\bm u,\bm\beta}\left[(\bm y-\bm\mu)\trans\bm W(\bm
+  y-\bm\mu)+\|\bm u\|^2\right]
+\end{equation}
+becomes a weighted, nonlinear least squares problem except that the
+weights, $\bm W$, can depend on $\bm\mu$ and, hence, on $\bm u$ and
+$\bm\beta$.
+
+In describing an algorithm for linear mixed models we called
+$\tilde{\bm\beta}(\bm\theta)$ the \emph{conditional estimate}.  That
+name reflects that fact that this is the maximum likelihood estimate
+of $\bm\beta$ for that particular value of $\bm\theta$.  Once we have
+determined the MLE, $\widehat(\bm\theta)_L$ of $\bm\theta$, we have a
+``plug-in'' estimator,
+$\widehat{\bm\beta}_L=\tilde{\bm\beta}(\bm\theta)$ for $\bm\beta$.
+
+This property does not carry over exactly to other forms of mixed
+models.  The values $\tilde{\bm u}(\bm\theta)$ and
+$\tilde{\bm\beta}(\bm\theta)$ are conditional modes in the sense that
+they are the coefficients in $\bm\gamma$ that jointly maximize the
+unscaled conditional density $h(\bm u|\bm
+y,\bm\theta,\bm\beta,\sigma)$.  Here we are using the adjective
+``conditional'' more in the sense of conditioning on $\bc Y=\bm y$
+than in the sense of conditioning on $\bm\theta$, although these
+values are determined for a fixed value of $\bm\theta$.
+
+\subsection{The PIRLS algorithm for $\tilde{\bm u}$ and $\tilde{\bm\beta}$}
+\label{sec:pirls-algor-tild}
+
+The penalized, iteratively reweighted, least squares (PIRLS) algorithm
+to determine $\tilde{\bm u}(\bm\theta)$ and
+$\tilde{\bm\beta}(\bm\theta)$ is a form of the Fisher scoring
+algorithm.  We fix the weights matrix, $\bm W$, and use penalized,
+weighted, nonlinear least squares to minimize the penalized, weighted
+residual sum of squares conditional on these weights.  Then we update
+the weights to those determined by the current value of $\bm\mu$ and
+iterate.
+
+To describe this algorithm in more detail we will use parenthesized
+superscripts to denote the iteration number.  Thus $\bm u^{(0)}$ and
+$\bm\beta^{(0)}$ are the initial values of these parameters, while
+$\bm u^{(i)}$ and $\bm\beta^{(i)}$ are the values at the $i$th
+iteration.  Similarly $\bm\gamma^{(i)}=\bm Z\bm\Lambda(\bm\theta)\bm
+u^{(i)}+\bm X\bm\beta^{(i)}$, $\bm\eta^{(i)}=\bm m(\bm\gamma^{(i)})$ and
+$\bm\mu^{(i)}=\bm g^{-1}(\bm\eta^{(i)})$.
+
+We use a penalized version of the Gauss-Newton algorithm
+\citep[ch.~2]{bateswatts88:_nonlin} for which we define the weighted Jacobian matrices
+\begin{align}
+  \label{eq:Jacobian}
+  \bm U^{(i)}&=\bm W^{1/2}\left.\frac{d\bm\mu}{d\bm u\trans}\right|_{\bm u=\bm
+    u^{(i)},\bm\beta=\bm\beta^{(i)}}=\bm W^{1/2}
+  \left.\frac{d\bm\mu}{d\bm\eta\trans}\right|_{\bm\eta^{(i)}}
+  \left.\frac{d\bm\eta}{d\bm\gamma\trans}\right|_{\bm\gamma^{(i)}}
+  \bm Z\bm\Lambda(\bm\theta)\\
+  \bm V^{(i)}&=\bm W^{1/2}\left.\frac{d\bm\mu}{d\bm\beta\trans}\right|_{\bm u=\bm
+    u^{(i)},\bm\beta=\bm\beta^{(i)}}=\bm W^{1/2}
+  \left.\frac{d\bm\mu}{d\bm\eta\trans}\right|_{\bm\eta^{(i)}}
+  \left.\frac{d\bm\eta}{d\bm\gamma\trans}\right|_{\bm\gamma^{(i)}}
+  \bm X
+\end{align}
+of dimension $n\times q$ and $n\times p$, respectively.
+The increments at the $i$th iteration, $\bm\delta_{\bm u}^{(i)}$ and
+$\bm\delta_{\bm\beta}^{(i)}$, are the solutions to
+\begin{equation}
+  \label{eq:PNLSinc}
+  \begin{bmatrix}
+    {\bm U^{(i)}}\trans\bm U^{(i)}+\bm I_q&{\bm U^{(i)}}\trans\bm V^{(i)}\\
+    {\bm V^{(i)}}\trans\bm U^{(i)}&{\bm V^{(i)}}\trans\bm V^{(i)}
+  \end{bmatrix}
+  \begin{bmatrix}
+    \bm\delta_{\bm u}^{(i)}\\
+    \bm\delta_{\bm\beta}^{(i)}
+  \end{bmatrix} =
+  \begin{bmatrix}
+    {\bm U^{(i)}}\trans\bm W^{1/2}(\bm y-\bm\mu^{(i)})-\bm u^{(i)}\\
+    {\bm V^{(i)}}\trans\bm W^{1/2}(\bm y-\bm\mu^{(i)})
+  \end{bmatrix}
+\end{equation}
+providing the updated parameter values
+\begin{equation}
+  \label{eq:33}
+  \begin{bmatrix}\bm u^{(i+1)}\\\bm\beta^{(i+1)}\end{bmatrix}=
+  \begin{bmatrix}\bm u^{(i)}\\\bm\beta^{(i)}\end{bmatrix}+\lambda
+  \begin{bmatrix}\bm\delta_{\bm u}^{(i)}\\\bm\delta_{\bm\beta}^{(i)}
+  \end{bmatrix}
+\end{equation}
+where $\lambda>0$ is a step factor chosen to ensure that
+\begin{equation}
+  \label{eq:34}
+  (\bm y-\bm\mu^{(i+1)})\trans\bm W(\bm
+  y-\bm\mu^{(i+1)})+\|\bm u^{(i+1)}\|^2  <
+  (\bm y-\bm\mu^{(i)})\trans\bm W(\bm
+  y-\bm\mu^{(i)})+\|\bm u^{(i)}\|^2  .
+\end{equation}
+
+In the process of solving for the increments we form the sparse, lower
+triangular, Cholesky factor, $\bm L^{(i)}$, satisfying
+\begin{equation}
+  \label{eq:35}
+  \bm L^{(i)} {\bm L^{(i)}}\trans =
+  \bm P_{\bm Z}\left({\bm U^{(i)}}\trans\bm U^{(i)}+
+    \bm I_n\right)\bm P_{\bm Z}\trans .
+\end{equation}
+After each successful iteration, determining new values of the
+coefficients, $\bm u^{(i+1)}$ and $\bm\beta^{(i+1)}$, that reduce the
+penalized, weighted residual sum of squares, we update the weights
+matrix to $\bm W(\bm\mu^{(i+1)})$ and the weighted Jacobians,
+$\bm U^{(i+1)}$ and $\bm V^{(i+1)}$, then iterate.  Convergence is
+determined according to the orthogonality convergence
+criterion~\citep[ch.~2]{bateswatts88:_nonlin}, suitably adjusted for
+the weights matrix and the penalty.
+
+\subsection{Weighted linear mixed models}
+\label{sec:weightedLMM}
+
+One of the simplest generalizations of linear mixed models is a
+weighted linear mixed model where $s=1$, the link function, $g$, and
+the nonlinear model function, $m$, are both the identity, the weights
+matrix, $\bm W$, is constant and the conditional distribution family
+is Gaussian.  That is, the conditional distribution can be written
+\begin{equation}
+  \label{eq:weightedLMM}
+    (\bc Y|\bc U=\bm u)\sim\mathcal{N}(\bm\gamma(\bm
+    u,\bm\theta,\bm\beta),\sigma^2\bm W^{-1})
+\end{equation}
+with discrepancy function
+\begin{equation}
+  \label{eq:wtddisc}
+  d(\bm u|\bm y,\bm\theta,\bm\beta)=\left\|\bm W^{1/2}(\bm
+    y-\bm Z\bm\Lambda(\bm\theta)\bm u-\bm X\bm\beta)\right\|^2+\|\bm u\|^2 .
+\end{equation}
+The conditional mode, $\tilde{\bm u}(\bm\theta)$, and the conditional
+estimate, $\tilde{\bm\beta}(\bm\theta)$, are the solutions to
+\begin{equation}
+  \begin{bmatrix}
+    \bm\Lambda\trans(\bm\theta)\bm Z\trans\bm W\bm Z\bm\Lambda(\theta)
+    +\bm I_q&\bm\Lambda\trans(\bm\theta)\bm Z\trans\bm W\bm X\\
+    \bm X\trans\bm W\bm Z\bm\Lambda(\theta) &\bm X\trans\bm W\bm X
+  \end{bmatrix}
+  \begin{bmatrix}
+    \tilde{\bm u}(\bm\theta)\\\tilde{\bm\beta}(\bm\theta)
+  \end{bmatrix} =
+  \begin{bmatrix}
+    \bm\Lambda\trans(\bm\theta)\bm Z\trans\bm W\bm y\\
+    \bm X\trans\bm W\bm y
+  \end{bmatrix} ,
+\end{equation}
+which can be solved directly, and the Cholesky factor, $\bm L_{\bm Z}(\bm\theta)$, satisfies
+\begin{equation}
+  \bm L_{\bm Z}(\bm\theta)\bm L_{\bm Z}(\bm\theta)\trans=\bm P_{\bm
+    Z}\left(\bm\Lambda\trans(\bm\theta)\bm Z\trans\bm W\bm
+    Z\bm\Lambda(\theta)+\bm I_q\right)\bm P_{\bm Z}\trans .
+\end{equation}
+
+The profiled log-likelihood, $\tilde{\ell}(\bm\theta|\bm y)$, is
+\begin{equation}
+  \label{eq:wtdprofilelik}
+  -2\tilde{\ell}(\bm\theta|\bm y)=
+  \log\left(\frac{|\bm L_{\bm Z}(\bm\theta)|^2}{|\bm W|}\right)+
+  n\left(1+\log\left(\frac{2\pi\tilde{d}(\bm
+        y,\bm\theta)}{n}\right)\right) .
+\end{equation}
+
+If the matrix $\bm W$ is fixed then we can ignore the term $|\bm W|$
+in (\ref{eq:wtdprofilelik}) when determining the MLE,
+$\widehat{\bm\theta}_L$.  However, in some models, we use a
+parameterized weight matrix, $\bm W(\bm\phi)$, and wish to determine
+the MLEs, $\widehat{\bm\phi}_L$ and $\widehat{\bm\theta}_L$
+simultaneously.  In these cases we must include the term involving
+$|\bm W(\bm\phi)|$ when evaluating the profiled log-likelihood.
+
+Note that we must define the parameterization of $\bm W(\bm\phi)$
+such that $\sigma^2$ and $\bm\phi$ are not a redundant
+parameterization of $\sigma^2\bm W(\bm\phi)$.  For example, we could
+require that the first diagonal element of $\bm W$ be unity.
+
+\subsection{Nonlinear mixed models}
+\label{sec:NLMMs}
+
+In an unweighted, nonlinear mixed model the conditional distribution is
+Gaussian, the link, $g$, is the identity and the weights matrix, $\bm
+W=\bm I_n$.  That is,
+\begin{equation}
+  \label{eq:conddistNLMM}
+  (\bc Y|\bc U=\bm u)\sim\mathcal{N}(\bm m(\bm\gamma),\sigma^2\bm I_n)
+\end{equation}
+with discrepancy function
+\begin{equation}
+  \label{eq:discNLMM}
+  d(\bm u|\bm y,\bm\theta,\bm\beta)=
+  \|\bm y-\bm\mu\|^2 + \|\bm u\|^2 .
+\end{equation}
+For a given value of $\bm\theta$ we determine the conditional modes,
+$\tilde{\bm u}(\bm\theta)$ and $\tilde{\bm\beta}(\bm\theta)$, as the
+solution to the penalized nonlinear least squares problem
+\begin{equation}
+  \label{eq:NLMMpnls}
+  \begin{bmatrix}
+    \tilde{\bm u}(\bm\theta)\\
+    \tilde{\bm\beta}(\bm\theta)
+  \end{bmatrix} = \arg\min_{\bm u,\bm\theta}d(\bm u|\bm y,\bm\theta,\bm\beta)
+\end{equation}
+and we write the minimum discrepancy, given $\bm y$ and $\bm\theta$,
+as
+\begin{equation}
+  \label{eq:25}
+  \tilde{d}(\bm y,\bm\theta)=d(\tilde{\bm u}(\bm\theta)|\bm
+  y,\bm\theta,\tilde{\bm\beta}(\bm\theta)).
+\end{equation}
+
+Let $\tilde{\bm L}_Z(\bm\theta)$ and $\tilde{\bm L}_X(\bm\theta)$ be
+the Cholesky factors at $\bm\theta$, $\tilde{\bm\beta}(\bm\theta)$ and
+$\tilde{\bm u}(\bm\theta)$.  Then the \emph{Laplace approximation} to
+the log-likelihood is
+\begin{equation}
+  \label{eq:36}
+  -2\ell_P(\bm\theta,\bm\beta,\sigma|\bm y)\approx
+  n\log(2\pi\sigma^2)+\log(|\tilde{\bm L}_{\bm Z}|^2)+
+  \frac{\tilde{d}(\bm y,\bm\theta) +
+    \left\|\tilde{\bm L}_{\bm X}\trans(\bm\beta-\tilde{\bm\beta})\right\|^2}{\sigma^2},
+\end{equation}
+producing the approximate profiled log-likelihood,
+$\tilde{\ell}_P(\bm\theta|\bm y)$,
+\begin{equation}
+  \label{eq:37}
+  -2\tilde{\ell}_P(\bm\theta|\bm y)\approx
+  \log(|\tilde{\bm L}_{\bm Z}|^2)+n\left(1+\log(2\pi
+    \tilde{d}(\bm y,\bm\theta)/n) \right).
+\end{equation}
+
+\subsubsection{Nonlinear mixed model summary}
+\label{sec:nonl-mixed-model}
+
+In a nonlinear mixed model we determine the parameter estimate,
+$\widehat{\bm\theta}_P$, from the Laplace approximation to the
+log-likelihood as
+\begin{equation}
+  \label{eq:38}
+  \widehat{\bm\theta}_P =
+  \arg\max_{\bm\theta}\tilde{\ell}_P(\bm\theta|\bm y)
+  =\arg\min_{\bm\theta}
+  \log(|\tilde{\bm L}_{\bm Z}|^2)+
+  n\left(1+\log(2\pi
+    \tilde{d}(\bm y,\bm\theta)/n) \right).
+\end{equation}
+Each evaluation of $\tilde{\ell}_P(\bm\theta|\bm y)$ requires a
+solving the penalized nonlinear least squares problem
+(\ref{eq:NLMMpnls}) simultaneously with respect to both sets of
+coefficients, $\bm u$ and $\bm\beta$, in the linear predictor,
+$\bm\gamma$.
+
+For a weighted nonlinear mixed model with fixed weights, $\bm W$, we
+replace the unweighted discrepancy function $d(\bm u|\bm
+y,\bm\theta,\bm\beta)$ with the weighted discrepancy function,
+%% Finish this off
+
+\section{Details of the implementation}
+\label{sec:details}
+
+\subsection{Implementation details for linear mixed models}
+\label{sec:impl-line-mixed}
+
+The crucial step in implementing algorithms for determining ML or REML
+estimates of the parameters in a linear mixed model is evaluating the
+factorization (\ref{eq:16}) for any $\bm\theta$ satisfying
+$\bm\theta_L\le\bm\theta\le\bm\theta_U$.  We will assume that $\bm Z$
+is sparse as is $\bm Z\bm\Lambda(\bm\theta)$.
+
+When $\bm X$ is not sparse we will use the factorization (\ref{eq:16})
+setting $\bm P_{\bm X}=\bm I_p$ and storing $\bm L_{\bm X\bm Z}$ and
+$\bm L_{\bm X}$ as dense matrices.  The permutation matrix $\bm P_{\bm
+  Z}$ is determined from the pattern of non-zeros in $\bm
+Z\bm\Lambda(\bm\theta)$ which is does not depend on $\bm\theta$, as
+long as $\bm\theta$ is not on the boundary.  In fact, in most cases
+the pattern of non-zeros in $\bm Z\bm\Lambda(\bm\theta)$ is the same
+as the pattern of non-zeros in $\bm Z$. For many models, in particular
+models with scalar random effects (described later), the matrix
+$\bm\Lambda(\bm\theta)$ is diagonal.
+
+Given a value of $\bm\theta$ we determine the Cholesky factor $\bm
+L_{\bm Z}$ satisfying
+\begin{equation}
+  \label{eq:LZ}
+  \bm L_{\bm Z}\bm L_{\bm Z}\trans=\bm P_{\bm Z}(
+  \bm\Lambda\trans(\bm\theta)\bm Z\trans\bm Z\bm\Lambda(\theta)
+    +\bm I_q)\bm P_{\bm Z}\trans .
+\end{equation}
+The CHOLMOD package allows for $\bm L_{\bm Z}$ to be calculated
+directly from $\bm\Lambda\trans(\bm\theta)\bm Z\trans$ or from
+$\bm\Lambda\trans(\bm\theta)\bm Z\trans\bm Z\bm\Lambda(\theta)$.  The
+choice in implementation is whether to store $\bm Z\trans$ and update
+it to $\bm\Lambda\trans(\bm\theta)\bm Z\trans$ or to store $\bm Z\trans\bm
+Z$ and use it to form $\bm\Lambda\trans(\bm\theta)\bm Z\trans\bm
+Z\bm\Lambda(\theta)$ at each evaluation.
+
+In the \package{lme4} package we store $\bm Z\trans$ and use it to
+form $\bm\Lambda\trans(\bm\theta)\bm Z\trans$ from which $\bm L_{\bm
+  Z}$ is evaluated.  There are two reasons for this choice.  First,
+the calculations for the more general forms of mixed models cannot be
+reduced to calculations involving $\bm Z\trans\bm Z $ and by expressing
+these calculations in terms of $\bm\Lambda(\bm\theta)\trans \bm Z\trans$ for
+linear mixed models we can reuse the code for the more general
+models.  Second, the calculation of $\bm\Lambda(\bm\theta)\trans\left(\bm
+  Z\trans\bm Z\right)\bm\Lambda(\bm\theta)$ from $\bm Z\trans\bm Z$ is
+complicated compared to the calculation of
+$\bm\Lambda(\bm\theta)\trans\bm Z\trans$ from $\bm Z\trans$.
+
+This choice is disadvantageous when $n\gg q$ because $\bm Z\trans$ is
+much larger than $\bm Z\trans\bm Z$, even when they are stored as
+sparse matrices.  Evaluation of $\bm L_{\bm Z}$ directly from $\bm
+Z\trans$ requires more storage and more calculation that evaluating
+$\bm L_{\bm Z}$ from $\bm Z\trans\bm Z$.
+
+Next we evaluate $\bm L_{\bm X\bm Z}\trans$ as the solution to
+\begin{equation}
+  \label{eq:LXZ}
+  \bm L_{\bm Z}\bm L_{\bm X\bm Z}\trans=\bm P_{\bm
+    Z}\bm\Lambda\trans(\bm\theta)\bm Z\trans\bm X .
+\end{equation}
+Again we have the choice of calculating and storing $\bm Z\trans\bm X$
+or storing $\bm X$ and using it to reevaluate $\bm Z\trans\bm X$.  In
+the \package{lme4} package we store $\bm X$, because the calculations
+for the more general models cannot be expressed in terms of $\bm Z\trans\bm X$.
+
+Finally $\bm L_{\bm X}$ is evaluated as the (dense) solution to
+\begin{equation}
+  \label{eq:LX}
+  \bm L_{\bm X}\bm L_{\bm X}\trans=
+  \bm X\trans\bm X-\bm L_{\bm X\bm Z}\bm L_{\bm X\bm Z}\trans .
+\end{equation}
+from which $\tilde{\bm\beta}$ can be determined as the
+solution to dense system
+\begin{equation}
+  \label{eq:tildebeta}
+  \bm L_{\bm X}\bm L_{\bm X}\trans \tilde{\bm\beta}=\bm X\trans\bm y
+\end{equation}
+and $\tilde{\bm u}$ as the solution to the sparse system
+\begin{equation}
+  \label{eq:tildeu}
+  \bm L_{\bm Z}\bm L_{\bm Z}\trans \tilde{u}=\bm\Lambda\trans\bm Z\trans\bm y
+\end{equation}
+
+For many models, in particular models with scalar random effects,
+which are described later, the matrix $\bm\Lambda(\bm\theta)$ is
+diagonal.  For such a model, if both $\bm Z$ and $\bm X$ are sparse
+and we plan to use the REML criterion then we create and store
+\begin{equation}
+  \label{eq:8}
+  \bm A=
+  \begin{bmatrix}
+    \bm Z\trans\bm Z & \bm Z\trans\bm X\\
+    \bm X\trans\bm Z & \bm X\trans\bm X
+  \end{bmatrix}\quad\text{and}\quad
+  \bm c =\begin{bmatrix}\bm Z\trans\bm y\\\bm X\trans\bm y\end{bmatrix}
+\end{equation}
+and determine a fill-reducing permutation, $\bm P$, for $\bm A$.
+Given a value of $\bm\theta$ we create the factorization
+\begin{equation}
+  \label{eq:26}
+  \bm L(\bm\theta)\bm L(\bm\theta)\trans=\bm P\left(
+    \begin{bmatrix}
+      \bm\Lambda(\bm\theta) & \bm0\\\bm0&\bm I_p
+    \end{bmatrix} \bm A
+    \begin{bmatrix}
+      \bm\Lambda(\bm\theta) & \bm0\\\bm0&\bm I_p
+    \end{bmatrix}+
+    \begin{bmatrix}\bm I_q&\bm0\\\bm0&\bm0\end{bmatrix}\right)
+  \bm P\trans
+\end{equation}
+solve for $\tilde{\bm u}(\bm\theta)$ and
+$\tilde{\bm\beta}(\bm\theta)$ in
+\begin{equation}
+  \label{eq:28}
+  \bm L\bm L\trans\bm P
+  \begin{bmatrix}
+    \tilde{\bm u}(\bm\theta)\\\tilde{\bm\beta}(\bm\theta)
+  \end{bmatrix}=
+  \bm P
+  \begin{bmatrix}\bm\Lambda(\bm\theta) & \bm0\\\bm0&\bm I_p
+  \end{bmatrix} \bm c
+\end{equation}
+then evaluate $\tilde{d}(\bm y|\bm\theta)$
+and the profiled REML criterion as
+\begin{equation}
+  \label{eq:27}
+  \tilde{d}_R(\bm\theta|\bm y)=\log(|\bm L(\bm\theta)|^2)+
+  (n-p)\left(1+\log\left(\frac{2\pi\tilde{d}(\bm y|\bm\theta)}
+      {n-p}\right)\right) .
+\end{equation}
+
+\bibliography{lme4}
+\appendix{}
+
+\section{Notation}
+\label{sec:notation}
+
+\subsection{Random variables in the model}
+\label{sec:rand-vari-model}
+\begin{description}
+\item[$\bc B$] Random-effects vector of dimension $q$,
+  $\bc{B}\sim\mathcal{N}(\bm 0,\sigma^2\bm \Lambda(\bm\theta)\bm
+  \Lambda(\bm\theta)\trans)$.
+\item[$\bm U$] ``Spherical'' random-effects vector of dimension $q$,
+  $\bc U\sim\mathcal{N}(\bm 0,\sigma^2\bm I_q)$, $\bc B=\bm
+  \Lambda(\bm\theta)\bc U$.
+\item[$\bc Y$] Response vector of dimension $n$.
+\end{description}
+
+\subsection{Parameters of the model}
+\label{sec:parameters-model}
+\begin{description}
+\item[$\bm\beta$] Fixed-effects parameters (dimension $p$).
+\item[$\bm\theta$] Parameters determining the left factor,
+  $\bm\Lambda(\bm\theta)$ of the relative covariance matrix of $\bc B$
+  (dimension $m$).
+\item[$\sigma$] the common scale parameter - not used in some
+  generalized linear mixed models and generalized nonlinear mixed
+  models.
+\end{description}
+
+\subsection{Dimensions}
+\label{sec:dimensions}
+\begin{description}
+\item[$m$] dimension of the parameter $\bm\theta$.
+\item[$n$] dimension of the response vector, $\bm y$, and the random
+  variable, $\bm{\mathcal{Y}}$.
+\item[$p$] dimension of the fixed-effects parameter, $\bm\beta$.
+\item[$q$] dimension of the random effects, $\bc B$ or $\bc U$.
+\item[$s$] dimension of the parameter vector, $\bm\phi$, in the
+  nonlinear model function.
+\end{description}
+
+\subsection{Matrices}
+\label{sec:matrices}
+\begin{description}
+\item[$\bm L$] Left Cholesky factor of a positive-definite symmetric
+  matrix.  $\bm L_{\bm Z}$ is $q\times q$; $\bm L_{\bm X}$ is $p\times p$.
+\item[$\bm P$] Fill-reducing permutation for the random effects model
+  matrix. (Size $q\times q$.)
+\item[$\bm \Lambda$] Left factor of the relative covariance matrix of the
+  random effects. (Size $q\times q$.)
+\item[$\bm X$] Model matrix for the fixed-effects parameters,
+  $\bm\beta$. (Size $(ns)\times p$.)
+\item[$\bm Z$] Model matrix for the random effects. (Size $(ns)\times q$.)
+\end{description}
+
+\section{Integrating a quadratic deviance expression}
+\label{sec:integr-quadr-devi}
+
+In (\ref{eq:6}) we defined the likelihood of the parameters given the
+observed data as
+\begin{displaymath}
+  L(\bm\theta,\bm\beta,\sigma|\bm y) =
+  \int_{\mathbb{R}^q}h(\bm u|\bm y,\bm\theta,\bm\beta,\sigma)\,d\bm u .
+\end{displaymath}
+which is often alarmingly described as ``an intractable integral''.
+In point of fact, this integral can be evaluated exactly in the case
+of a linear mixed model and can be approximated quite accurately for
+other forms of mixed models.
+
+\end{document}
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/lme4/doc/lmer.R
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/lme4/doc/lmer.R	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/lme4/doc/lmer.R	(revision 3761)
@@ -0,0 +1,390 @@
+## ----preliminaries,include=FALSE,cache=FALSE,message=FALSE----------
+options(width=70, show.signif.stars=FALSE,
+        str=strOptions(strict.width="cut"),
+        ## prefer empty continuation for reader's cut'n'paste:
+        continue = "   ", #JSS: prompt = "R> ", continue = "+  ",
+        useFancyQuotes = FALSE)
+library("knitr")
+library("lme4")
+library("ggplot2")# Keeping default theme, nicer "on line":
+#JSS theme_set(theme_bw())
+library("grid")
+zmargin <- theme(panel.spacing=unit(0,"lines"))
+library("lattice")
+library("minqa")
+opts_chunk$set(engine='R',dev='pdf', fig.width=9, fig.height=5.5,
+               prompt=TRUE, cache=TRUE, tidy=FALSE, comment=NA)
+knitr::render_sweave()
+
+## ----sleep----------------------------------------------------------
+str(sleepstudy)
+
+## ----sleepPlot, echo=FALSE, fig.scap="Reaction time versus days by subject", fig.cap="Average reaction time versus days of sleep deprivation by subject.  Subjects ordered (from left to right starting on the top row) by increasing slope of subject-specific linear regressions.", fig.align='center', fig.pos='tb'----
+## BMB: seemed more pleasing to arrange by increasing slope rather than
+## intercept ...
+xyplot(Reaction ~ Days | Subject, sleepstudy, aspect = "xy",
+       layout = c(9, 2), type = c("g", "p", "r"),
+       index.cond = function(x, y) coef(lm(y ~ x))[2],
+       xlab = "Days of sleep deprivation",
+       ylab = "Average reaction time (ms)",
+       as.table = TRUE)
+
+## ----outputExample,results="hide"-----------------------------------
+fm1 <- lmer(Reaction ~ Days + (Days | Subject), sleepstudy)
+
+## ----modularExampleFormula, tidy=FALSE, eval=FALSE------------------
+#  parsedFormula <- lFormula(formula = Reaction ~ Days + (Days | Subject),
+#                               data = sleepstudy)
+
+## ----modularExampleObjective, tidy=FALSE, eval=FALSE----------------
+#  devianceFunction <- do.call(mkLmerDevfun, parsedFormula)
+
+## ----modularExampleOptimization, tidy=FALSE, eval=FALSE-------------
+#  optimizerOutput <- optimizeLmer(devianceFunction)
+
+## ----modularExampleOutput, tidy=FALSE, eval=FALSE-------------------
+#  mkMerMod(   rho = environment(devianceFunction),
+#              opt = optimizerOutput,
+#           reTrms = parsedFormula$reTrms,
+#               fr = parsedFormula$fr)
+
+## ----MMformula, eval=FALSE------------------------------------------
+#  resp ~ FEexpr + (REexpr1 | factor1) + (REexpr2 | factor2) + ...
+
+## ----uncorrelatedModel,results="hide"-------------------------------
+fm2 <- lmer(Reaction ~ Days + (Days || Subject), sleepstudy)
+
+## ----setSeed, echo=FALSE--------------------------------------------
+set.seed(2)
+
+## ----factorToSparseMatrix-------------------------------------------
+(f <- gl(3, 2))
+(Ji <- t(as(f, Class = "sparseMatrix")))
+
+## ----rawModelMatrix-------------------------------------------------
+(Xi <- cbind(1, rep.int(c(-1, 1), 3L)))
+
+## ----KhatriRao------------------------------------------------------
+(Zi <- t(KhatriRao(t(Ji), t(Xi))))
+
+## ----sanityCheck, include=FALSE-------------------------------------
+## alternative formulation of Zi (eq:Zi)
+rbind(
+  Ji[1,] %x% Xi[1,],
+  Ji[2,] %x% Xi[2,],
+  Ji[3,] %x% Xi[3,],
+  Ji[4,] %x% Xi[4,],
+  Ji[5,] %x% Xi[5,],
+  Ji[6,] %x% Xi[6,])
+
+## ----nc, echo=FALSE-------------------------------------------------
+nc <- 3
+
+## ----template-------------------------------------------------------
+(rowIndices <- rep(1:nc, 1:nc))
+(colIndices <- sequence(1:nc))
+(template <- sparseMatrix(rowIndices, colIndices,
+                          x = 1 * (rowIndices == colIndices)))
+
+## ----thetaFromTemplate----------------------------------------------
+(theta <- template@x)
+
+## ----thetaSanityCheck, include=FALSE--------------------------------
+lFormula(Reaction ~ (Days + I(Days^2) | Subject), sleepstudy)$reTrms$theta
+
+## ----nl, echo=FALSE-------------------------------------------------
+nl <- 2
+
+## ----relativeCovarianceBlock----------------------------------------
+(Lambdati <- .bdiag(rep(list(t(template)), nl)))
+
+## ----relativeCovarianceBlockIndices---------------------------------
+LindTemplate <- rowIndices + nc * (colIndices - 1) - choose(colIndices, 2)
+(Lind <- rep(LindTemplate, nl))
+
+## ----newTheta-------------------------------------------------------
+thetanew <- round(runif(length(theta)), 1)
+
+## ----relativeCovarianceBlockUpdate----------------------------------
+Lambdati@x <- thetanew[Lind]
+
+## ----PLSupdateTheta, eval = FALSE-----------------------------------
+#  Lambdat@x[] <- mapping(theta)
+
+## ----PLSupdateThetaWithLind-----------------------------------------
+mapping <- function(theta) theta[Lind]
+
+## ----exampleNewTheta------------------------------------------------
+thetanew <- c(1, -0.1, 2, 0.1, -0.2, 3)
+
+## ----exampleLindUpdate----------------------------------------------
+Lambdati@x[] <- mapping(thetanew)
+Lambdati
+
+## ----updateL, eval=FALSE--------------------------------------------
+#  L <- update(L, Lambdat %*% ZtW, mult = 1)
+
+## ----PLSsolve, eval = FALSE-----------------------------------------
+#  cu[] <- as.vector(solve(L, solve(L, Lambdat %*% ZtWy,
+#                                   system = "P"), system = "L"))
+#  RZX[] <- as.vector(solve(L, solve(L, Lambdat %*% ZtWX,
+#                                    system = "P"), system = "L"))
+#  RXtRX <- as(XtWX - crossprod(RZX), "dpoMatrix")
+#  beta[] <- as.vector(solve(RXtRX, XtWy - crossprod(RZX, cu)))
+#  u[] <- as.vector(solve(L, solve(L, cu - RZX %*% beta,
+#                                  system = "Lt"), system = "Pt"))
+
+## ----PLSupdateResp, eval = FALSE------------------------------------
+#  b[] <- as.vector(crossprod(Lambdat, u))
+#  mu[] <- as.vector(crossprod(Zt, b) + X %*% beta + offset)
+#  wtres <- sqrtW * (y - mu)
+
+## ----PLScalculateObjective, eval = FALSE----------------------------
+#  pwrss <- sum(wtres^2) + sum(u^2)
+#  logDet <- 2*determinant(L, logarithm = TRUE)$modulus
+#  if (REML) logDet <- logDet + determinant(RXtRX,
+#                                           logarithm = TRUE)$modulus
+#  attributes(logDet) <- NULL
+#  profDev <- logDet + degFree * (1 + log(2 * pi * pwrss) - log(degFree))
+
+## ----vcovByHand-----------------------------------------------------
+RX <- getME(fm1, "RX")
+sigma2 <- sigma(fm1)^2
+sigma2 * chol2inv(RX)
+
+## ----condVarExample, echo=FALSE, eval=FALSE-------------------------
+#  s2 <- sigma(fm1)^2
+#  Lambdat <- getME(fm1, "Lambdat")
+#  Lambda <- getME(fm1, "Lambda")
+#  Zt <- getME(fm1, "Zt")
+#  Z <- getME(fm1, "Z")
+#  y <- getME(fm1, "y")
+#  X <- getME(fm1, "X")
+#  beta <- getME(fm1, "beta")
+#  L <- getME(fm1, "L")
+#  (V <- crossprod(solve(L, system = "L")))[1:2, 1:2]
+#  (s2 * Lambda %*% V %*% Lambdat)[1:2, 1:2]
+#  attr(ranef(fm1, condVar = TRUE)$Subject, "postVar")[ , , 1] # should be same as Lam %*% V %*% Lamt
+#  (U <- as.vector((V %*% Lambdat %*% Zt %*%  (y - X %*% beta))))
+#  getME(fm1, "u")
+
+## ----updateModel----------------------------------------------------
+fm3 <- update(fm1, . ~ . - (Days | Subject) + (1 | Subject))
+formula(fm3)
+
+## ----summary1,echo=FALSE--------------------------------------------
+ss <- summary(fm1)
+cc <- capture.output(print(ss))
+reRow <- grep("^Random effects", cc)
+cat(cc[1:(reRow - 2)], sep = "\n")
+
+## ----summary1reproduced, eval=FALSE---------------------------------
+#  formula(fm1)
+#  REMLcrit(fm1)
+#  quantile(residuals(fm1, "pearson", scaled = TRUE))
+
+## ----summary2, echo=FALSE-------------------------------------------
+feRow <- grep("^Fixed effects", cc)
+cat(cc[reRow:(feRow - 2)], sep = "\n")
+
+## ----summary2reproduced, eval=FALSE---------------------------------
+#  print(vc <- VarCorr(fm1), comp = c("Variance", "Std.Dev."))
+#  nobs(fm1)
+#  ngrps(fm1)
+#  sigma(fm1)
+
+## ----VarCorr--------------------------------------------------------
+as.data.frame(VarCorr(fm1))
+
+## ----summary3, echo=FALSE-------------------------------------------
+corRow <- grep("^Correlation", cc)
+cat(cc[feRow:(corRow - 2)], sep = "\n")
+
+## ----summary4, echo=FALSE-------------------------------------------
+cat(cc[corRow:length(cc)], sep = "\n")
+
+## ----diagplot1,fig.keep="none"--------------------------------------
+plot(fm1, type = c("p", "smooth"))
+
+## ----diagplot2,fig.keep="none"--------------------------------------
+plot(fm1, sqrt(abs(resid(.))) ~ fitted(.),
+     type = c("p", "smooth"))
+
+## ----diagplot3,fig.keep="none"--------------------------------------
+qqmath(fm1, id = 0.05)
+
+## ----ppsim,results="hide"-------------------------------------------
+iqrvec <- sapply(simulate(fm1, 1000), IQR)
+obsval <- IQR(sleepstudy$Reaction)
+post.pred.p <- mean(obsval >= c(obsval, iqrvec))
+
+## ----anovaQuadraticModel--------------------------------------------
+fm4 <- lmer(Reaction ~ polyDays[ , 1] + polyDays[ , 2] +
+            (polyDays[ , 1] + polyDays[ , 2] | Subject),
+            within(sleepstudy, polyDays <- poly(Days, 2)))
+anova(fm4)
+
+## ----anovaSanityCheck, include=FALSE--------------------------------
+(getME(fm4, "RX")[2, ] %*% getME(fm4, "fixef"))^2
+
+## ----anovaManyModels------------------------------------------------
+anova(fm1, fm2, fm3)
+
+## ----anovaRes,echo=FALSE--------------------------------------------
+fm3ML <- refitML(fm3)
+fm2ML <- refitML(fm2)
+fm1ML <- refitML(fm1)
+ddiff <- deviance(fm3ML) - deviance(fm2ML)
+dp <- pchisq(ddiff, 1, lower.tail = FALSE)
+ddiff2 <- deviance(fm2ML) - deviance(fm1ML)
+
+## ----pvaluesHelp, eval=FALSE----------------------------------------
+#  help("pvalues")
+
+## ----compareCI,echo=FALSE,cache=TRUE,message=FALSE,warning=FALSE----
+ccw <- confint(fm1, method = "Wald")
+ccp <- confint(fm1, method = "profile", oldNames = FALSE)
+ccb <- confint(fm1, method = "boot")
+
+## ----CIqcomp,echo=FALSE,eval=TRUE-----------------------------------
+rtol <- function(x,y) {
+    abs((x - y) / ((x + y) / 2))
+}
+bw <- apply(ccb, 1, diff)
+pw <- apply(ccp, 1, diff)
+mdiffpct <- round(100 * max(rtol(bw, pw)))
+
+## ----CIplot,echo=FALSE,eval=FALSE-----------------------------------
+#  ## obsolete
+#  ## ,fig.cap="Comparison of confidence intervals",fig.scap="CI comparison"
+#  tf <- function(x, method) data.frame(method = method,
+#                 par = rownames(x),
+#                 setNames(as.data.frame(x), c("lwr", "upr")))
+#  cc.all <- do.call(rbind, mapply(tf, list(ccw, ccp, ccb),
+#                                 c("Wald", "profile", "boot"),
+#                       SIMPLIFY = FALSE))
+#  ggplot(cc.all, aes(x = 1, ymin = lwr, ymax = upr, colour = method)) +
+#      geom_linerange(position = position_dodge(width = 0.5)) +
+#      facet_wrap( ~ par, scale = "free") +
+#      theme(axis.text.x = element_blank()) +
+#      labs(x = "")
+
+## ----profile_calc,echo=FALSE,cache=TRUE-----------------------------
+pf <- profile(fm1)
+
+## ----profile_zeta_plot,fig.cap="Profile zeta plot: \\code{xyplot(prof.obj)}",fig.scap="Profile zeta plot",echo=FALSE,fig.align='center',fig.pos='tb'----
+xyplot(pf)
+
+## ----profile_density_plot,fig.cap="Profile density plot: \\code{densityplot(prof.obj)}",echo=FALSE,fig.align='center',fig.pos='tb'----
+densityplot(pf)
+
+## ----profile_pairs_plot,fig.cap="Profile pairs plot: \\code{splom(prof.obj)}",echo=FALSE,fig.height=8,fig.width=8,fig.align='center',fig.pos='htb',out.height='5.5in'----
+splom(pf)
+
+## ----modularSimulationFormula---------------------------------------
+form <- respVar ~ 1 + (explVar1 + explVar2 | groupFac)
+
+## ----dataTemplate---------------------------------------------------
+set.seed(1)
+dat <- mkDataTemplate(form,
+  nGrps = 500,
+  nPerGrp = 20,
+  rfunc = rnorm)
+head(dat)
+
+## ----parsTemplate---------------------------------------------------
+(pars <- mkParsTemplate(form, dat))
+
+## ----simCorr--------------------------------------------------------
+vc <- matrix(c(1.0, 0.5, 0.5,
+  0.5, 1.0, 0.0,
+  0.5, 0.0, 1.0), 3, 3)
+
+## ----vcTheta--------------------------------------------------------
+pars$theta[] <- Vv_to_Cv(mlist2vec(vc))
+
+## ----varCorrStructure-----------------------------------------------
+dat$respVar <- simulate(form,
+  newdata = dat,
+  newparams = pars,
+  family = "gaussian")[[1]]
+
+## ----graphSims------------------------------------------------------
+formLm <- form
+formLm[[3]] <- findbars(form)[[1]]
+print(formLm)
+cor(t(sapply(lmList(formLm, dat), coef)))
+
+## ----phiToTheta, cache = FALSE--------------------------------------
+phiToTheta <- function(phi) {
+    theta5 <- -(phi[2]*phi[3])/phi[4]
+    c(phi[1:4], theta5, phi[5])
+}
+
+## ----compute deviance function modular, cache = FALSE---------------
+lf <- lFormula(formula = form, data = dat, REML = TRUE)
+devf <- do.call(mkLmerDevfun, lf)
+
+## ----wrapper modular, cache = FALSE---------------------------------
+devfWrap <- function(phi) devf(phiToTheta(phi))
+
+## ----opt modular, cache = FALSE-------------------------------------
+opt <- bobyqa(par = lf$reTrms$theta[-5],
+  fn = devfWrap,
+  lower = lf$reTrms$lower[-5])
+
+## ----varCorr modular, cache = FALSE---------------------------------
+vcEst <- vec2mlist(Cv_to_Vv(phiToTheta(opt$par)))[[1]]
+dimnames(vcEst) <- rep(lf$reTrms$cnms, 2)
+round(vcEst, 2)
+vc
+
+## ----simulateSplineData,message=FALSE-------------------------------
+library("gamm4")
+library("splines")
+set.seed(1)
+n <- 100
+pSimulation <- 3
+pStatistical <- 8
+x <- rnorm(n)
+Bsimulation <- ns(x, pSimulation)
+Bstatistical <- ns(x, pStatistical)
+beta <- rnorm(pSimulation)
+y <- as.numeric(Bsimulation %*% beta + rnorm(n, sd = 0.3))
+
+## ----splineExampleDataPlot, fig.width=4, fig.height=3,fig.align="center"----
+par(mar = c(4, 4, 1, 1), las = 1, bty = "l")
+plot(x, y, las = 1)
+lines(x[order(x)], (Bsimulation %*% beta)[order(x)])
+
+## ----splineExampleApproximateFormula--------------------------------
+pseudoGroups <- as.factor(rep(1:pStatistical, length = n))
+parsedFormula <- lFormula(y ~ x + (1 | pseudoGroups))
+
+## ----splineExampleModifyZt------------------------------------------
+parsedFormula$reTrms <- within(parsedFormula$reTrms, {
+    Bt <- t(as.matrix(Bstatistical))[]
+    cnms$pseudoGroups <- "spline"
+    Zt <- as(Bt, class(Zt))
+})
+
+## ----splineExampleRemainingModularSteps-----------------------------
+devianceFunction <- do.call(mkLmerDevfun, parsedFormula)
+optimizerOutput <- optimizeLmer(devianceFunction)
+mSpline <- mkMerMod(   rho = environment(devianceFunction),
+                       opt = optimizerOutput,
+                    reTrms = parsedFormula$reTrms,
+                        fr = parsedFormula$fr)
+mSpline
+
+## ----splineExampleFittedModelPlot, fig.width=4, fig.height=3, fig.align="center"----
+xNew <- seq(min(x), max(x), length = 100)
+newBstatistical <- predict(Bstatistical, xNew)
+yHat <-   cbind(1, xNew) %*% getME(mSpline, "fixef") +
+        newBstatistical %*% getME(mSpline, "u")
+par(mar = c(4, 4, 1, 1), las = 1, bty = "l")
+plot(x, y)
+lines(xNew, yHat)
+lines(x[order(x)], (Bsimulation %*% beta)[order(x)],lty = 2)
+legend("topright", bty = "n", c("fitted", "generating"), lty = 1:2,col = 1)
+
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/lme4/doc/lmerperf.html
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/lme4/doc/lmerperf.html	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/lme4/doc/lmerperf.html	(revision 3761)
@@ -0,0 +1,503 @@
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) 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+};
+</script>
+<style>h1 {font-size: 34px;}
+       h1.title {font-size: 38px;}
+       h2 {font-size: 30px;}
+       h3 {font-size: 24px;}
+       h4 {font-size: 18px;}
+       h5 {font-size: 16px;}
+       h6 {font-size: 12px;}
+       code {color: inherit; background-color: rgba(0, 0, 0, 0.04);}
+       pre:not([class]) { background-color: white }</style>
+<script>
+
+/**
+ * jQuery Plugin: Sticky Tabs
+ *
+ * @author Aidan Lister <aidan@php.net>
+ * adapted by Ruben Arslan to activate parent tabs too
+ * http://www.aidanlister.com/2014/03/persisting-the-tab-state-in-bootstrap/
+ */
+(function($) {
+  "use strict";
+  $.fn.rmarkdownStickyTabs = function() {
+    var context = this;
+    // Show the tab corresponding with the hash in the URL, or the first tab
+    var showStuffFromHash = function() {
+      var hash = window.location.hash;
+      var selector = hash ? 'a[href="' + hash + '"]' : 'li.active > a';
+      var $selector = $(selector, context);
+      if($selector.data('toggle') === "tab") {
+        $selector.tab('show');
+        // walk up the ancestors of this element, show any hidden tabs
+        $selector.parents('.section.tabset').each(function(i, elm) {
+          var link = $('a[href="#' + $(elm).attr('id') + '"]');
+          if(link.data('toggle') === "tab") {
+            link.tab("show");
+          }
+        });
+      }
+    };
+
+
+    // Set the correct tab when the page loads
+    showStuffFromHash(context);
+
+    // Set the correct tab when a user uses their back/forward button
+    $(window).on('hashchange', function() {
+      showStuffFromHash(context);
+    });
+
+    // Change the URL when tabs are clicked
+    $('a', context).on('click', function(e) {
+      history.pushState(null, null, this.href);
+      showStuffFromHash(context);
+    });
+
+    return this;
+  };
+}(jQuery));
+
+window.buildTabsets = function(tocID) {
+
+  // build a tabset from a section div with the .tabset class
+  function buildTabset(tabset) {
+
+    // check for fade and pills options
+    var fade = tabset.hasClass("tabset-fade");
+    var pills = tabset.hasClass("tabset-pills");
+    var navClass = pills ? "nav-pills" : "nav-tabs";
+
+    // determine the heading level of the tabset and tabs
+    var match = tabset.attr('class').match(/level(\d) /);
+    if (match === null)
+      return;
+    var tabsetLevel = Number(match[1]);
+    var tabLevel = tabsetLevel + 1;
+
+    // find all subheadings immediately below
+    var tabs = tabset.find("div.section.level" + tabLevel);
+    if (!tabs.length)
+      return;
+
+    // create tablist and tab-content elements
+    var tabList = $('<ul class="nav ' + navClass + '" role="tablist"></ul>');
+    $(tabs[0]).before(tabList);
+    var tabContent = $('<div class="tab-content"></div>');
+    $(tabs[0]).before(tabContent);
+
+    // build the tabset
+    var activeTab = 0;
+    tabs.each(function(i) {
+
+      // get the tab div
+      var tab = $(tabs[i]);
+
+      // get the id then sanitize it for use with bootstrap tabs
+      var id = tab.attr('id');
+
+      // see if this is marked as the active tab
+      if (tab.hasClass('active'))
+        activeTab = i;
+
+      // remove any table of contents entries associated with
+      // this ID (since we'll be removing the heading element)
+      $("div#" + tocID + " li a[href='#" + id + "']").parent().remove();
+
+      // sanitize the id for use with bootstrap tabs
+      id = id.replace(/[.\/?&!#<>]/g, '').replace(/\s/g, '_');
+      tab.attr('id', id);
+
+      // get the heading element within it, grab it's text, then remove it
+      var heading = tab.find('h' + tabLevel + ':first');
+      var headingText = heading.html();
+      heading.remove();
+
+      // build and append the tab list item
+      var a = $('<a role="tab" data-toggle="tab">' + headingText + '</a>');
+      a.attr('href', '#' + id);
+      a.attr('aria-controls', id);
+      var li = $('<li role="presentation"></li>');
+      li.append(a);
+      tabList.append(li);
+
+      // set it's attributes
+      tab.attr('role', 'tabpanel');
+      tab.addClass('tab-pane');
+      tab.addClass('tabbed-pane');
+      if (fade)
+        tab.addClass('fade');
+
+      // move it into the tab content div
+      tab.detach().appendTo(tabContent);
+    });
+
+    // set active tab
+    $(tabList.children('li')[activeTab]).addClass('active');
+    var active = $(tabContent.children('div.section')[activeTab]);
+    active.addClass('active');
+    if (fade)
+      active.addClass('in');
+
+    if (tabset.hasClass("tabset-sticky"))
+      tabset.rmarkdownStickyTabs();
+  }
+
+  // convert section divs with the .tabset class to tabsets
+  var tabsets = $("div.section.tabset");
+  tabsets.each(function(i) {
+    buildTabset($(tabsets[i]));
+  });
+};
+
+</script>
+<style type="text/css">.hljs-literal {
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+
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+</head>
+
+<body>
+
+
+<div class="container-fluid main-container">
+
+
+
+
+<div id="header">
+
+
+
+<h1 class="title toc-ignore">lme4 performance tips</h1>
+
+</div>
+
+
+<!--
+%\VignetteEngine{knitr::rmarkdown}
+%\VignetteIndexEntry{lme4 performance tips}
+-->
+<pre class="r"><code>library(&quot;lme4&quot;)</code></pre>
+<div id="overview" class="section level2">
+<h2>overview</h2>
+<p>In general <code>lme4</code>â€™s algorithms scale reasonably well with the number of observations and the number of random effect levels. The biggest bottleneck is in the number of <em>top-level parameters</em>, i.e.Â covariance parameters for <code>lmer</code> fits or <code>glmer</code> fits with <code>nAGQ</code>=0 [<code>length(getME(model, &quot;theta&quot;))</code>], covariance and fixed-effect parameters for <code>glmer</code> fits with <code>nAGQ</code>&gt;0. <code>lme4</code> does a derivative-free (by default) nonlinear optimization step over the top-level parameters.</p>
+<p>For this reason, â€œmaximalâ€� models involving interactions of factors with several levels each (e.g.Â <code>(stimulus*primer | subject)</code>) will be slow (as well as hard to estimate): if the two factors have <code>f1</code> and <code>f2</code> levels respectively, then the corresponding <code>lmer</code> fit will need to estimate <code>(f1*f2)*(f1*f2+1)/2</code> top-level parameters.</p>
+<p><code>lme4</code> automatically constructs the random effects model matrix (<span class="math inline">\(Z\)</span>) as a sparse matrix. At present it does <em>not</em> allow an option for a sparse fixed-effects model matrix (<span class="math inline">\(X\)</span>), which is useful if the fixed-effect model includes factors with many levels. Treating such factors as random effects instead, and using the modular framework (<code>?modular</code>) to fix the variance of this random effect at a large value, will allow it to be modeled using a sparse matrix. (The estimates will converge to the fixed-effect case in the limit as the variance goes to infinity.)</p>
+</div>
+<div id="setting-calc.derivs-false" class="section level2">
+<h2>setting <code>calc.derivs = FALSE</code></h2>
+<p>After finding the best-fit model parameters (in most cases using <em>derivative-free</em> algorithms such as Powellâ€™s BOBYQA or Nelder-Mead, <code>[g]lmer</code> does a series of finite-difference calculations to estimate the gradient and Hessian at the MLE. These are used to try to establish whether the model has converged reliably, and (for <code>glmer</code>) to estimate the standard deviations of the fixed effect parameters (a less accurate approximation is used if the Hessian estimate is not available. As currently implemented, this computation takes <code>2*n^2 -  n + 1</code> additional evaluations of the deviance, where <code>n</code> is the total number of top-level parameters. Using <code>control = [g]lmerControl(calc.derivs = FALSE)</code> to turn off this calculation can speed up the fit, e.g.</p>
+<pre class="r"><code>m0 &lt;- lmer(y ~ service * dept + (1|s) + (1|d), InstEval,
+     control = lmerControl(calc.derivs = FALSE))</code></pre>
+<p>Benchmark results for this run with and without derivatives show an approximately 20% speedup (from 54 to 43 seconds on a Linux machine with AMD Ryzen 9 2.2 GHz processors). This is a case with only 2 top-level parameters, but the fit took only 31 deviance function evaluations (see <code>m0@optinfo$feval</code>) to converge, so the effect of the additional 7 (<span class="math inline">\(n^2 -n +1\)</span>) function evaluations is noticeable.</p>
+</div>
+<div id="choice-of-optimizer" class="section level2">
+<h2>choice of optimizer</h2>
+<p><code>lmer</code> uses the â€œnloptwrapâ€� optimizer by default; <code>glmer</code> uses a combination of bobyqa (<code>nAGQ=0</code> stage) and Nelder_Mead. These are reasonably good choices, although switching <code>glmer</code> fits to <code>nloptwrap</code> for both stages may be worth a try.</p>
+<p><code>allFits()</code> gives an easy way to check the timings of a large range of optimizers:</p>
+<table>
+<thead>
+<tr class="header">
+<th align="left">optimizer</th>
+<th align="right">elapsed</th>
+</tr>
+</thead>
+<tbody>
+<tr class="odd">
+<td align="left">bobyqa</td>
+<td align="right">51.466</td>
+</tr>
+<tr class="even">
+<td align="left">nloptwrap.NLOPT_LN_BOBYQA</td>
+<td align="right">53.432</td>
+</tr>
+<tr class="odd">
+<td align="left">nlminbwrap</td>
+<td align="right">66.236</td>
+</tr>
+<tr class="even">
+<td align="left">nloptwrap.NLOPT_LN_NELDERMEAD</td>
+<td align="right">90.780</td>
+</tr>
+<tr class="odd">
+<td align="left">nmkbw</td>
+<td align="right">94.727</td>
+</tr>
+<tr class="even">
+<td align="left">Nelder_Mead</td>
+<td align="right">99.828</td>
+</tr>
+<tr class="odd">
+<td align="left">optimx.L-BFGS-B</td>
+<td align="right">117.965</td>
+</tr>
+</tbody>
+</table>
+<p>As expected, bobyqa - both the implementation in the <code>minqa</code> package [<code>[g]lmerControl(optimizer=&quot;bobyqa&quot;)</code>] and the one in <code>nloptwrap</code> [<code>optimizer=&quot;nloptwrap&quot;</code> or <code>optimizer=&quot;nloptwrap&quot;, optCtrl = list(algorithm = &quot;NLOPT_LN_BOBYQA&quot;</code>] - are fastest.</p>
+</div>
+<div id="changing-optimizer-tolerances" class="section level2">
+<h2>changing optimizer tolerances</h2>
+<p>Occasionally, the default optimizer stopping tolerances are unnecessarily strict. These tolerances are specific to each optimizer, and can be set via the <code>optCtrl</code> argument in <code>[g]lmerControl</code>. To see the defaults for <code>nloptwrap</code>:</p>
+<pre class="r"><code>environment(nloptwrap)$defaultControl</code></pre>
+<pre><code>## $algorithm
+## [1] &quot;NLOPT_LN_BOBYQA&quot;
+## 
+## $xtol_abs
+## [1] 1e-08
+## 
+## $ftol_abs
+## [1] 1e-08
+## 
+## $maxeval
+## [1] 1e+05</code></pre>
+<p>In the particular case of the <code>InstEval</code> example, this doesnâ€™t help much - loosening the tolerances to <code>ftol_abs=1e-4</code>, <code>xtol_abs=1e-4</code> only saves 2 functional evaluations and a few seconds, while loosening the tolerances still further gives convergence warnings.</p>
+</div>
+<div id="parallelizationblas" class="section level2">
+<h2>parallelization/BLAS</h2>
+<p>There are not many options for parallelizing <code>lme4</code>. Optimized BLAS does not seem to help much.</p>
+</div>
+<div id="other-packages" class="section level2">
+<h2>other packages</h2>
+<ul>
+<li><code>glmmTMB</code> may be faster than <code>lme4</code> for GLMMs with large numbers of top-level parameters, especially for negative binomial models (i.e.Â compared to <code>glmer.nb</code>)</li>
+<li>the <code>MixedModels.jl</code> package in Julia may be <em>much</em> faster for some problems. You do need to install Julia.
+<ul>
+<li>see <a href="https://github.com/ginettelafit/MixedModelswithRandJulia">this short tutorial</a> or <a href="https://github.com/RePsychLing/MixedModels-lme4-bridge/blob/master/using_jellyme4.ipynb">this example</a> (Jupyter notebook)</li>
+<li>the <a href="https://github.com/palday/JellyMe4.jl">JellyMe4</a> and <a href="https://github.com/mikabr/jglmm">jglmm</a> packages provide R interfaces</li>
+</ul></li>
+</ul>
+</div>
+
+
+
+
+</div>
+
+<script>
+
+// add bootstrap table styles to pandoc tables
+function bootstrapStylePandocTables() {
+  $('tr.odd').parent('tbody').parent('table').addClass('table table-condensed');
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+  bootstrapStylePandocTables();
+});
+
+
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+
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+$(document).ready(function () {
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+  $('.tabset-dropdown > .nav-tabs > li').click(function () {
+    $(this).parent().toggleClass('nav-tabs-open');
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+<script>
+  (function () {
+    var script = document.createElement("script");
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Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/lme4/doc/PLSvGLS.pdf
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--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/lme4/doc/lmer.Rnw	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/lme4/doc/lmer.Rnw	(revision 3761)
@@ -0,0 +1,3044 @@
+%\VignetteEngine{knitr::knitr}
+%\VignetteDepends{ggplot2}
+%\VignetteDepends{gamm4}
+%\VignetteIndexEntry{Fitting Linear Mixed-Effects Models using lme4}
+\documentclass[nojss]{jss}
+\usepackage[T1]{fontenc}% for correct hyphenation and T1 encoding
+\usepackage[utf8]{inputenc}%
+\usepackage{lmodern}% latin modern font
+\usepackage[american]{babel}  %% for texi2dvi ~ bug
+\usepackage{bm,amsmath,thumbpdf,amsfonts}%,minted}
+\usepackage{blkarray}
+\usepackage{array}
+%% huxtable-ish stuff
+%% \usepackage{adjustbox}
+%% \usepackage{threeparttable}
+%%
+\newcolumntype{P}[1]{>{\raggedright\arraybackslash}p{#1}}
+\newcommand{\matindex}[1]{\mbox{\scriptsize#1}}% Matrix index
+\newcommand{\github}{Github}
+\DeclareMathOperator{\tr}{tr}
+\DeclareMathOperator{\VEC}{vec}
+\newcommand{\bmb}[1]{{\color{red} \emph{#1}}}
+\newcommand{\scw}[1]{{\color{blue} \emph{#1}}}
+\newcommand{\dmb}[1]{{\color{magenta} \emph{#1}}}
+
+\shortcites{bolker_strategies_2013,sleepstudy,gelman2013bayesian}
+
+\author{Douglas Bates\\University of Wisconsin-Madison\And
+  Martin M\"achler\\ETH Zurich\And
+  Benjamin M. Bolker\\McMaster University\And
+  Steven C. Walker\\McMaster University
+}
+\Plainauthor{Douglas Bates, Martin M\"achler, Ben Bolker, Steve Walker}
+\title{Fitting Linear Mixed-Effects Models Using \pkg{lme4}}
+\Plaintitle{Fitting Linear Mixed-Effects Models using lme4}
+\Shorttitle{Linear Mixed Models with lme4}
+\Abstract{%
+
+  Maximum likelihood or restricted maximum likelihood (REML) estimates
+  of the parameters in linear mixed-effects models can be determined
+  using the \code{lmer} function in the \pkg{lme4} package for
+  \proglang{R}. As for most model-fitting functions in \proglang{R},
+  the model is described in an \code{lmer} call by a formula, in this
+  case including both fixed- and random-effects
+  terms. The formula and data together determine a numerical
+  representation of the model from which the profiled deviance or the
+  profiled REML criterion can be evaluated as a function of some of
+  the model parameters.  The appropriate criterion is optimized, using
+  one of the constrained optimization functions in \proglang{R}, to
+  provide the parameter estimates.  We describe the structure of the
+  model, the steps in evaluating the profiled deviance or REML
+  criterion, and the structure of classes or types that represents such
+  a model.  Sufficient detail is included to allow specialization of
+  these structures by users who wish to write functions to fit
+  specialized linear mixed models, such as models incorporating
+  pedigrees or smoothing splines, that are not easily expressible in
+  the formula language used by \code{lmer}.}
+
+\Keywords{%
+  sparse matrix methods, linear mixed models, penalized least squares,
+  Cholesky decomposition} \Address{
+  Douglas Bates\\
+  Department of Statistics, University of Wisconsin\\
+  1300 University Ave.\\
+  Madison, WI 53706, U.S.A.\\
+  E-mail: \email{bates@stat.wisc.edu}\\
+  \par\bigskip
+  Martin M\"achler\\
+  Seminar f\"ur Statistik, HG G~16\\
+  ETH Zurich\\
+  8092 Zurich, Switzerland\\
+  E-mail: \email{maechler@stat.math.ethz.ch}\\
+  % URL: \url{http://stat.ethz.ch/people/maechler}\\
+  \par\bigskip
+  Benjamin M. Bolker\\
+  Departments of Mathematics \& Statistics and Biology \\
+  McMaster University \\
+  1280 Main Street W \\
+  Hamilton, ON L8S 4K1, Canada \\
+  E-mail: \email{bolker@mcmaster.ca}\\
+  \par\bigskip
+  Steven C. Walker\\
+  Department of Mathematics \& Statistics \\
+  McMaster University \\
+  1280 Main Street W \\
+  Hamilton, ON L8S 4K1, Canada \\
+  E-mail: \email{scwalker@math.mcmaster.ca }
+}
+\newcommand{\thetavec}{{\bm\theta}}
+\newcommand{\betavec}{{\bm\beta}}
+\newcommand{\Var}{\operatorname{Var}}
+\newcommand{\abs}{\operatorname{abs}}
+\newcommand{\bLt}{\ensuremath{\bm\Lambda_{\bm\theta}}}
+\newcommand{\mc}[1]{\ensuremath{\mathcal{#1}}}
+\newcommand{\trans}{\ensuremath{^\top}} %  JSS wants \top
+\newcommand{\yobs}{\ensuremath{\bm y_{\mathrm{obs}}}}
+\newcommand*{\eq}[1]{eqn.~\ref{#1}}% or just {(\ref{#1})}
+<<preliminaries,include=FALSE,cache=FALSE,message=FALSE>>=
+options(width=70, show.signif.stars=FALSE,
+        str=strOptions(strict.width="cut"),
+        ## prefer empty continuation for reader's cut'n'paste:
+        continue = "   ", #JSS: prompt = "R> ", continue = "+  ",
+        useFancyQuotes = FALSE)
+library("knitr")
+library("lme4")
+library("ggplot2")# Keeping default theme, nicer "on line":
+#JSS theme_set(theme_bw())
+library("grid")
+zmargin <- theme(panel.spacing=unit(0,"lines"))
+library("lattice")
+library("minqa")
+opts_chunk$set(engine='R',dev='pdf', fig.width=9, fig.height=5.5,
+               prompt=TRUE, cache=TRUE, tidy=FALSE, comment=NA)
+knitr::render_sweave()
+@
+\setkeys{Gin}{width=\textwidth}
+\setkeys{Gin}{height=3.5in}
+
+\begin{document}
+
+A version of this manuscript has been published online in the
+\emph{Journal of Statistical Software}, on Oct.\ 2015, with DOI \linebreak[3]
+\texttt{10.18637/jss.v067.i01},
+see \url{https://www.jstatsoft.org/article/view/v067i01/}.
+
+\section{Introduction}
+\label{sec:intro}
+
+The \pkg{lme4} package  \citep{lme4} for \proglang{R} \citep{R} provides functions to fit and
+analyze linear mixed models, generalized linear mixed models and
+nonlinear mixed models.  In each of these names, the term ``mixed''
+or, more fully, ``mixed effects'', denotes a model that incorporates
+both fixed- and random-effects terms in a linear predictor expression
+from which the conditional mean of the response can be evaluated.  In
+this paper we describe the formulation and representation of linear
+mixed models.  The techniques used for generalized linear and
+nonlinear mixed models will be described separately, in a future
+paper.
+
+At present, the main alternative to \pkg{lme4} for mixed modeling in
+\proglang{R} is the \pkg{nlme} package \citep{nlme_pkg}.  The main features
+distinguishing \pkg{lme4} from \pkg{nlme} are (1) more efficient
+linear algebra tools, giving improved performance on large problems;
+(2) simpler syntax and more efficient implementation for fitting
+models with crossed random effects; (3) the implementation of profile
+likelihood confidence intervals on random-effects parameters; and (4)
+the ability to fit generalized linear mixed models (although in this
+paper we restrict ourselves to linear mixed models).  The main
+advantage of \pkg{nlme} relative to \pkg{lme4} is a user interface for
+fitting models with structure in the residuals (various forms of
+heteroscedasticity and autocorrelation) and in the random-effects
+covariance matrices (e.g., compound symmetric models).  With some extra
+effort, the computational machinery of \pkg{lme4} can be used to fit
+structured models that the basic \code{lmer} function cannot handle
+(see Appendix~\ref{sec:modularExamples}).
+
+
+The development of general software for fitting mixed models remains
+an active area of research with many open problems.  Consequently, the
+\pkg{lme4} package has evolved since it was first released, and
+continues to improve as we learn more about mixed models. However, we
+recognize the need to maintain stability and backward compatibility of
+\pkg{lme4} so that it continues to be broadly useful. In order to
+maintain stability while continuing to advance mixed-model
+computation, we have developed several additional frameworks that draw
+on the basic ideas of \pkg{lme4} but modify its structure or
+implementation in various ways. These descendants include the
+\mbox{\pkg{MixedModels}} package \citep{MixedModels} in \proglang{Julia}
+\citep{Julia}, the
+\pkg{lme4pureR} package \citep{lme4pureR} in \proglang{R}, and the \pkg{flexLambda}
+development branch of \pkg{lme4}.  The current article is largely
+restricted to describing the current stable version of the \pkg{lme4}
+package (1.1-7), with Appendix~\ref{sec:modularExamples} describing
+hooks into the computational machinery that are designed for extension
+development. The \pkg{gamm4} \citep{gamm4} and \pkg{blme} \citep{blme, blme2}
+packages currently make use of these hooks.
+
+Another goal of this article is to contrast the approach used by
+\pkg{lme4} with previous formulations of mixed models.  The
+expressions for the profiled log-likelihood and profiled REML
+(restricted maximum likelihood) criteria derived in
+Section~\ref{sec:profdev} are similar to those presented in
+\citet{bates04:_linear} and, indeed, are closely related to
+``Henderson's mixed-model equations''~\citep{henderson_1982}.
+Nonetheless there are subtle but important changes in the formulation
+of the model and in the structure of the resulting penalized least
+squares (PLS) problem to be solved (Section~\ref{sec:PLSpureR}).  We
+derive the current version of the PLS problem
+(Section~\ref{sec:plsMath}) and contrast this result with earlier
+formulations (Section~\ref{sec:previous_lmm_form}).
+
+This article is organized into four main sections (Sections~\ref{sec:lFormula},
+\ref{sec:mkLmerDevfun}, \ref{sec:optimizeLmer}, and \ref{sec:mkMerMod}),
+each of which corresponds to one of the four largely separate modules
+that comprise \pkg{lme4}.  Before describing the details of each
+module, we describe the general form of the linear mixed model
+underlying \pkg{lme4} (Section~\ref{sec:LMMs}); introduce the
+\code{sleepstudy} data that will be used as an example throughout
+(Section~\ref{sec:sleepstudy}); and broadly outline \pkg{lme4}'s
+modular structure (Section~\ref{sec:modular}).
+
+\subsection{Linear mixed models}
+\label{sec:LMMs}
+
+Just as a linear model is described by the distribution of a
+vector-valued random response variable, $\mc{Y}$, whose observed value
+is $\yobs$, a linear mixed model is described by the distribution of
+two vector-valued random variables: $\mc{Y}$, the response, and
+$\mc{B}$, the vector of random effects.  In a linear model the
+distribution of $\mc Y$ is multivariate normal,%\begin{linenomath}
+\begin{equation}
+  \label{eq:linearmodel}
+  \mc Y\sim\mc{N}(\bm X\bm\beta+\bm o,\sigma^2\bm W^{-1}),
+\end{equation}
+where $n$ is the dimension of the response vector, $\bm W$ is a
+diagonal matrix of known prior weights, $\bm\beta$ is a
+$p$-dimensional coefficient vector, $\bm X$ is an $n\times p$ model
+matrix, and $\bm o$ is a vector of known prior offset terms. The
+parameters of the model are the coefficients $\bm\beta$ and the scale
+parameter $\sigma$.
+
+In a linear mixed model it is the \emph{conditional} distribution of
+$\mc Y$ given $\mc B=\bm b$ that has such a form,
+\begin{equation}
+  \label{eq:LMMcondY}
+  ( \mc Y|\mc B=\bm b)\sim\mc{N}(\bm X\bm\beta+\bm Z\bm b+\bm o,\sigma^2\bm W^{-1}), % | <- for ESS
+\end{equation}
+where $\bm Z$ is the $n\times q$ model matrix for the $q$-dimensional
+vector-valued random-effects variable, $\mc B$, whose value we are
+fixing at $\bm b$.  The unconditional distribution of $\mc B$ is also
+multivariate normal with mean zero and a parameterized $q\times q$
+variance-covariance matrix, $\bm\Sigma$,
+\begin{equation}
+  \label{eq:LMMuncondB}
+  \mc B\sim\mc N(\bm0,\bm\Sigma) .
+\end{equation}
+As a variance-covariance matrix, $\bm\Sigma$ must be positive
+semidefinite.  It is convenient to express the model in terms of a
+\emph{relative covariance factor}, $\bLt$, which is a
+$q\times q$ matrix, depending on the \emph{variance-component
+  parameter}, $\bm\theta$, and generating the symmetric $q\times q$
+variance-covariance matrix, $\bm\Sigma$, according to%\begin{linenomath}
+\begin{equation}
+  \label{eq:relcovfac}
+  \bm\Sigma_{\bm\theta}=\sigma^2\bLt\bLt\trans ,
+\end{equation}%\end{linenomath}
+where $\sigma$ is the same scale factor as in the conditional
+distribution (\ref{eq:LMMcondY}).
+
+Although Equations~\ref{eq:LMMcondY}, \ref{eq:LMMuncondB}, and
+\ref{eq:relcovfac} fully describe the class of linear mixed models
+that \pkg{lme4} can fit, this terse description
+hides many important details.  Before moving on to these details, we
+make a few observations:
+\begin{itemize}
+\item This formulation of linear mixed models allows for a relatively
+  compact expression for the profiled log-likelihood of $\bm\theta$
+  (Section~\ref{sec:profdev}, Equation~\ref{eq:profiledDeviance}).
+\item The matrices associated with random effects, $\bm Z$ and $\bLt$,
+  typically have a sparse structure with a sparsity pattern that
+  encodes various model assumptions.  Sections~\ref{sec:LMMmatrix} and
+  \ref{sec:CSCmats} provide details on these structures, and how to
+  represent them efficiently.
+\item The interface provided by \pkg{lme4}'s \code{lmer} function
+  is slightly less general than the model described by Equations~\ref{eq:LMMcondY}, \ref{eq:LMMuncondB}, and \ref{eq:relcovfac}.  To
+  take advantage of the entire range of possibilities, one may use the
+  modular functions (Sections~\ref{sec:modular} and
+  Appendix~\ref{sec:modularExamples}) or explore the
+  experimental \pkg{flexLambda} branch of \pkg{lme4} on \github.
+\end{itemize}
+
+\subsection{Example}
+\label{sec:sleepstudy}
+
+Throughout our discussion of \pkg{lme4}, we will work with a data set
+on the average reaction time per day for subjects in a sleep
+deprivation study \citep{sleepstudy}. On day 0 the subjects had their
+normal amount of sleep.  Starting that night they were restricted to 3
+hours of sleep per night.  The response variable, \code{Reaction},
+represents average reaction times in milliseconds (ms) on a series of tests given each
+\code{Day} to each \code{Subject} (Figure~\ref{fig:sleepPlot}),
+%
+<<sleep>>=
+str(sleepstudy)
+@
+
+<<sleepPlot, echo=FALSE, fig.scap="Reaction time versus days by subject", fig.cap="Average reaction time versus days of sleep deprivation by subject.  Subjects ordered (from left to right starting on the top row) by increasing slope of subject-specific linear regressions.", fig.align='center', fig.pos='tb'>>=
+## BMB: seemed more pleasing to arrange by increasing slope rather than
+## intercept ...
+xyplot(Reaction ~ Days | Subject, sleepstudy, aspect = "xy",
+       layout = c(9, 2), type = c("g", "p", "r"),
+       index.cond = function(x, y) coef(lm(y ~ x))[2],
+       xlab = "Days of sleep deprivation",
+       ylab = "Average reaction time (ms)",
+       as.table = TRUE)
+@
+% |
+
+Each subject's reaction time increases approximately linearly
+with the number of sleep-deprived days.
+However, subjects also appear to vary in the slopes and intercepts
+of these relationships, which suggests a model with random slopes and intercepts.
+As we shall see, such a model may be fitted by minimizing the
+REML criterion (Equation~\ref{eq:REMLdeviance}) using
+<<outputExample,results="hide">>=
+fm1 <- lmer(Reaction ~ Days + (Days | Subject), sleepstudy)
+@
+% |
+The estimates of the standard deviations of the random effects for the
+intercept and the slope are
+\Sexpr{round(sqrt(VarCorr(fm1)$Subject[1,1]), 2)} ms % $
+and
+\Sexpr{round(sqrt(VarCorr(fm1)$Subject[2,2]), 2)} ms/day. % $
+The fixed-effects coefficients, $\betavec$, are
+\Sexpr{round(fixef(fm1)[1], 1)} ms and
+\Sexpr{round(fixef(fm1)[2], 2)} ms/day
+for the intercept and slope.  In this model, one interpretation of
+these fixed effects is that they are the estimated population mean values of the
+random intercept and slope (Section~\ref{sec:intuitiveFormulas}).
+
+We have chosen the \code{sleepstudy} example because it is a
+relatively small and simple example to illustrate the theory and
+practice underlying \code{lmer}.  However, \code{lmer} is capable of
+fitting more complex mixed models to larger data sets.  For example, we
+direct the interested reader to \code{RShowDoc("lmerperf", package =
+  "lme4")} for examples that more thoroughly exercise the
+performance capabilities of \code{lmer}.
+
+\subsection{High-level modular structure}
+\label{sec:modular}
+
+The \code{lmer} function is composed of four largely independent
+modules.  In the first module, a mixed-model formula is parsed and
+converted into the inputs required to specify a linear mixed model
+(Section~\ref{sec:lFormula}).  The second module uses these inputs to
+construct an \proglang{R} function which takes the covariance
+parameters, $\bm\theta$, as arguments and returns negative twice the log
+profiled likelihood or the REML criterion
+(Section~\ref{sec:mkLmerDevfun}).  The third module optimizes this
+objective function to produce maximum likelihood (ML) or REML
+estimates of $\bm\theta$ (Section~\ref{sec:optimizeLmer}).  Finally,
+the fourth module provides utilities for interpreting the optimized
+model (Section~\ref{sec:mkMerMod}).
+
+\begin{table}[tb]
+  \centering
+  \begin{tabular}{lllp{2.1in}}
+    \hline
+    Module & & \proglang{R} function & Description \\
+    \hline
+    Formula module & (Section~\ref{sec:lFormula}) & \code{lFormula} &
+    Accepts a mixed-model formula, data, and other user inputs, and returns
+    a list of objects required to fit a linear mixed model. \\
+    Objective function module & (Section~\ref{sec:mkLmerDevfun}) &
+    \code{mkLmerDevfun} &
+    Accepts the results of \code{lFormula} and returns a function to
+    calculate the deviance (or restricted deviance) as a function of the
+    covariance parameters, $\bm\theta$.\\
+    Optimization module & (Section~\ref{sec:optimizeLmer}) &
+    \code{optimizeLmer} &
+    Accepts a deviance function returned by \code{mkLmerDevfun} and
+    returns the results of the optimization of that deviance function. \\
+    Output module & (Section~\ref{sec:mkMerMod}) & \code{mkMerMod} &
+    Accepts an optimized deviance function and packages the results
+    into a useful object.  \\
+    \hline
+  \end{tabular}
+  \caption{The high-level modular structure of \code{lmer}.}
+  \label{tab:modular}
+\end{table}
+
+To illustrate this modularity, we recreate the \code{fm1} object by a
+series of four modular steps; the formula module,
+<<modularExampleFormula, tidy=FALSE, eval=FALSE>>=
+parsedFormula <- lFormula(formula = Reaction ~ Days + (Days | Subject),
+                             data = sleepstudy)
+@
+the objective function module,
+<<modularExampleObjective, tidy=FALSE, eval=FALSE>>=
+devianceFunction <- do.call(mkLmerDevfun, parsedFormula)
+@
+the optimization module,
+<<modularExampleOptimization, tidy=FALSE, eval=FALSE>>=
+optimizerOutput <- optimizeLmer(devianceFunction)
+@
+and the output module,
+<<modularExampleOutput, tidy=FALSE, eval=FALSE>>=
+mkMerMod(   rho = environment(devianceFunction),
+            opt = optimizerOutput,
+         reTrms = parsedFormula$reTrms,
+             fr = parsedFormula$fr)
+@
+% |
+
+\section{Formula module}
+\label{sec:lFormula}
+
+\subsection{Mixed-model formulas}
+\label{sec:formulas}
+
+Like most model-fitting functions in \proglang{R},
+\code{lmer} takes as its first two arguments a \emph{formula}
+specifying the model and the \emph{data} with which to evaluate the
+formula. This second argument, \code{data}, is optional but
+recommended and is usually the name of an \proglang{R} data frame.
+In the \proglang{R} \code{lm} function for fitting linear models,
+formulas take the form \verb+resp ~ expr+,
+where \code{resp} determines the response variable and \code{expr}
+is an expression that specifies the columns of the model matrix.
+Formulas for the \code{lmer} function contain special random-effects
+terms,
+<<MMformula, eval=FALSE>>=
+resp ~ FEexpr + (REexpr1 | factor1) + (REexpr2 | factor2) + ...
+@
+where \code{FEexpr} is an expression determining the columns of the
+fixed-effects model matrix, $\bm X$, and the random-effects terms,
+\code{(REexpr1 | factor1)} and \code{(REexpr2 | factor2)}, determine
+both the random-effects model matrix, $\bm Z$ (Section~\ref{sec:mkZ}),
+and the structure of the relative covariance factor,
+$\bLt$ (Section~\ref{sec:mkLambdat}).  In principle, a
+mixed-model formula may contain arbitrarily many random-effects terms,
+but in practice the number of such terms is typically low.
+
+\subsection{Understanding mixed-model formulas}
+\label{sec:intuitiveFormulas}
+
+Before describing the details of how \pkg{lme4} parses mixed-model
+formulas (Section~\ref{sec:LMMmatrix}), we provide an informal
+explanation and then some examples. Our discussion assumes familiarity
+with the standard \proglang{R} modeling paradigm
+\citep{Chambers:1993}.
+
+Each random-effects term is of the form \code{(expr | factor)}.
+The expression \code{expr} is evaluated as a linear model formula,
+producing a model matrix following the same rules used in standard
+\proglang{R} modeling functions (e.g., \code{lm} or \code{glm}). The
+expression \code{factor} is evaluated as an \proglang{R} factor.  One
+way to think about the vertical bar operator is as a special kind of
+interaction between the model matrix and the grouping factor. This
+interaction ensures that the columns of the model matrix have
+different effects for each level of the grouping factor.  What makes
+this a special kind of interaction is that these effects are modeled
+as unobserved random variables, rather than unknown fixed parameters.
+Much has been written about important practical and philosophical
+differences between these two types of interactions
+\citep[e.g., ][]{henderson_1982,gelman2005analysis}. For
+example, the random-effects implementation of such interactions can be
+used to obtain shrinkage estimates of regression coefficients
+\citep[e.g., ][]{1977EfronAndMorris}, or account
+for lack of independence in the residuals due to block structure or
+repeated measurements \citep[e.g., ][]{laird_ware_1982}.
+
+Table~\ref{tab:formulas} provides several examples of the
+right-hand-sides of mixed-model formulas. The first example,
+\code{(1 | g)}, % |
+is the simplest possible mixed-model formula, where each level of the
+grouping factor, \code{g}, has its own random intercept. The mean and
+standard deviation of these intercepts are parameters to be estimated.
+Our description of this model incorporates any nonzero mean of the
+random effects as fixed-effects parameters.  If one wishes to specify
+that a random intercept has \emph{a priori} known means, one may use
+the \code{offset} function as in the second  model in
+Table~\ref{tab:formulas}.  This model contains no fixed effects, or
+more accurately the fixed-effects model matrix, $\bm X$, has zero
+columns and $\bm\beta$ has length zero.
+
+\begin{table}[tb]
+  \centering
+  \begin{tabular}{llP{1.5in}} %% see new column type for ragged right
+    \hline
+    Formula 			& Alternative & Meaning \\
+    \hline%------------------------------------------------
+    \code{(1 | g)}		& \code{1 + (1 | g)}
+    & Random intercept with fixed mean. \\
+    \code{0 + offset(o) + (1 | g)}    & \code{-1 + offset(o) + (1 | g)}
+    & Random intercept with \emph{a priori} means. \\
+    \code{(1 | g1/g2)} 		& \code{(1 | g1)+(1 | g1:g2)}   % |
+    & Intercept varying among \code{g1} and \code{g2} within \code{g1}. \\
+    \code{(1 | g1) + (1 | g2)} 	& \code{1 + (1 | g1) + (1 | g2)}. &
+    Intercept varying among \code{g1} and \code{g2}. \\
+    \code{x + (x | g)} 		& \code{1 + x + (1 + x | g)} &
+    Correlated random intercept and slope. \\
+    \code{x + (x || g)} 		& \code{1 + x + (1 | g) + (0 +
+      x | g)}
+    & Uncorrelated random intercept and slope. \\
+    \hline
+  \end{tabular}
+  \caption{Examples of the right-hand-sides of mixed-effects model
+    formulas. The names of grouping factors are denoted \code{g},
+    \code{g1}, and \code{g2}, and covariates and \emph{a priori} known
+    offsets as \code{x} and \code{o}.}
+  \label{tab:formulas}
+\end{table}
+
+We may also construct models with multiple grouping factors. For
+example, if the observations are grouped by \code{g2}, which is nested
+within \code{g1}, then the third formula in Table \ref{tab:formulas}
+can be used to model variation in the intercept.  A common objective
+in mixed modeling is to account for such nested (or hierarchical)
+structure.  However, one of the most useful aspects of \pkg{lme4} is
+that it can be used to fit random effects associated with non-nested
+grouping factors.  For example, suppose the data are grouped by fully
+crossing two factors, \code{g1} and \code{g2}, then the fourth formula
+in Table \ref{tab:formulas} may be used.  Such models are common in
+item response theory, where \code{subject} and \code{item} factors are
+fully crossed \citep{doran2007estimating}. In addition to varying
+intercepts, we may also have varying slopes (e.g., the
+\code{sleepstudy} data, Section~\ref{sec:sleepstudy}).  The fifth
+example in Table~\ref{tab:formulas} gives a model where both the
+intercept and slope vary among the levels of the grouping factor.
+
+\subsubsection{Specifying uncorrelated random effects}
+\label{sec:uncor}
+
+By default, \pkg{lme4} assumes that all coefficients associated with
+the same random-effects term are correlated. To specify an
+uncorrelated slope and intercept (for example), one may either use
+double-bar notation, \code{(x || g)}, or equivalently use multiple
+random-effects terms, \code{x + (1 | g) + (0 + x | g)}, as in the
+final example of Table~\ref{tab:formulas}.  For example, if one
+examined the results of model \code{fm1} of the \code{sleepstudy} data
+(Section~\ref{sec:sleepstudy}) using \code{summary(fm1)}, one would
+see that the estimated correlation between the slope for \code{Days}
+and the intercept is fairly low
+(\Sexpr{round(attr(VarCorr(fm1)$Subject, "correlation")[2],3)}) % $
+(See Section~\ref{sec:summary} below for more on how to extract the
+random-effects covariance matrix.)  We may use double-bar notation to
+fit a model that excludes a correlation parameter:
+<<uncorrelatedModel,results="hide">>=
+fm2 <- lmer(Reaction ~ Days + (Days || Subject), sleepstudy)
+@
+
+Although mixed models where the random slopes and intercepts are
+assumed independent are commonly used to reduce the complexity of
+random-slopes models, they do have one subtle drawback.  Models in
+which the slopes and intercepts are allowed to have a nonzero
+correlation (e.g., \code{fm1}) are invariant to additive shifts of the
+continuous predictor (\code{Days} in this case).  This invariance
+breaks down when the correlation is constrained to zero; any shift in
+the predictor will necessarily lead to a change in the estimated
+correlation, and in the likelihood and predictions of the model.  For
+example, we can eliminate the correlation in \code{fm1} simply by
+adding an amount equal to the ratio of the estimated
+among-subject standard deviations multiplied by the estimated
+correlation (i.e., $\sigma_{\text{\small slope}}/\sigma_{\text{\small
+    intercept}} \cdot \rho_{\text{\small slope:intercept}}$) to the \code{Days} variable.  The use
+of models such as \code{fm2} should ideally be restricted to cases where the
+predictor is measured on a ratio scale (i.e., the zero point on the
+scale is meaningful, not just a location defined by convenience or
+convention), as is the case here.
+
+%% <<uncorrelatedModelByShifting>>=
+%% sleepstudyShift <- within(sleepstudy, {
+%%     Days <- Days + (24.74*0.07)/5.92 })
+%% lmer(Reaction ~ Days + (Days |  Subject), sleepstudyShift)
+%% @
+
+\subsection{Algebraic and computational account of mixed-model formulas}
+\label{sec:LMMmatrix}
+
+The fixed-effects terms of a mixed-model formula are parsed to produce
+the fixed-effects model matrix, $\bm X$, in the same way that the
+\proglang{R} \code{lm} function generates model matrices.  However, a
+mixed-model formula incorporates $k\ge1$ random-effects terms of the
+form \code{(r | f)} as well. % |
+These $k$ terms are used to produce the random-effects model matrix,
+$\bm Z$ (Equation~\ref{eq:LMMcondY}; Section~\ref{sec:mkZ}), and the
+structure of the relative covariance factor, $\bLt$
+(Equation~\ref{eq:relcovfac}; Section~\ref{sec:mkLambdat}), which are
+matrices that typically have a sparse structure.  We now describe how
+one might construct these matrices from the random-effects terms,
+considering first a single term, \code{(r | f)}, % |
+and then generalizing to multiple terms. Tables~\ref{tab:dim} and
+\ref{tab:algebraic} summarize the matrices and vectors that determine
+the structure of $\bm Z$ and
+$\bLt$.
+
+\begin{table}[tb]
+  \centering
+  \begin{tabular}{lll}
+    \hline
+    Symbol & Size \\
+    \hline
+    $n$ & Length of the response vector, $\mc{Y}$ \\
+    $p$ & Number of columns of fixed-effects model matrix, $\bm X$ \\
+    $q = \sum_i^k q_i$ & Number of columns of random-effects model matrix, $\bm Z$ \\
+    $p_i$ &  Number of columns of the raw model matrix, $\bm X_i$ \\
+    $\ell_i$ &  Number of levels of the grouping factor indices, $\bm i_i$ \\
+    $q_i = p_i\ell_i$  & Number of columns of the term-wise model matrix, $\bm Z_i$ \\
+    $k$ &  Number of random-effects terms \\
+    $m_i = \binom{p_i+1}{2}$ & Number of covariance parameters for term
+    $i$ \\
+    $m = \sum_i^k m_i$ & Total number of covariance parameters \\
+    \hline
+  \end{tabular}
+  \caption{Dimensions of linear mixed models.  The
+    subscript $i = 1, \dots, k$ denotes a specific random-effects term.}
+  \label{tab:dim}
+\end{table}
+
+\begin{table}[tb]
+  \centering
+  \begin{tabular}{lll}
+    \hline
+    Symbol  & Size & Description \\
+    \hline
+    $\bm X_i$ & $n\times p_i$ &  Raw random-effects model matrix \\
+    $\bm J_i$  & $n\times \ell_i$ & Indicator matrix of grouping factor indices\\
+    $\bm X_{ij}$ & $p_i\times 1$ & Column vector containing $j$th row of $\bm X_i$ \\
+    $\bm J_{ij}$ & $\ell_i\times 1$ & Column vector containing $j$th row of $\bm J_i$ \\
+    $\bm i_i$  & $n$ & Vector of grouping factor indices \\
+    $\bm Z_i$ & $n\times q_i$ & Term-wise random-effects model matrix \\
+    $\bm\theta$ & $m$ & Covariance parameters \\
+    $\bm T_i$ & $p_i\times p_i$ & Lower triangular template matrix \\
+    $\bm\Lambda_i$ & $q_i\times q_i$ & Term-wise relative covariance factor \\
+    \hline
+  \end{tabular}
+  \caption{Symbols used to describe the structure of the random-effects model matrix and the relative covariance factor. The
+    subscript $i = 1, \dots, k$ denotes a specific random-effects term.}
+  \label{tab:algebraic}
+\end{table}
+
+The expression, \code{r}, is a linear model formula that evaluates to
+an \proglang{R} model matrix, $\bm X_i$, of size $n\times p_i$, called
+the \emph{raw random-effects model matrix} for term $i$. A term is
+said to be a \emph{scalar} random-effects term when $p_i=1$, otherwise
+it is \emph{vector-valued}.  For a \emph{simple, scalar}
+random-effects term of the form \code{(1 | f)}, $\bm X_i$ is the    % |
+$n\times 1$ matrix of ones, which implies a random intercept model.
+
+The expression \code{f} evaluates to an \proglang{R} factor, called
+the \emph{grouping factor}, for the term. For the $i$th term, we
+represent this factor mathematically with a vector $\bm i_i$ of
+\emph{factor indices}, which is an $n$-vector of values from
+$1,\dots,\ell_i$.\footnote{In practice,
+  fixed-effects model matrices and random-effects terms are evaluated
+  with respect to a \emph{model frame}, ensuring that any expressions
+  for grouping factors have been coerced to factors and any unused
+  levels of these factors have been dropped.  That is, $\ell_i$, the
+  number of levels in the grouping factor for the $i$th random-effects
+  term, is well-defined.}
+Let $\bm J_i$ be the $n\times \ell_i$ matrix of
+indicator columns for $\bm i_i$.  Using the \pkg{Matrix} package
+\citep{Matrix_pkg} in
+\proglang{R}, we may construct the transpose of $\bm J_i$ from a
+factor vector, \code{f}, by coercing \code{f} to a `\code{sparseMatrix}'
+object.  For example,
+<<setSeed, echo=FALSE>>=
+set.seed(2)
+@
+<<factorToSparseMatrix>>=
+(f <- gl(3, 2))
+(Ji <- t(as(f, Class = "sparseMatrix")))
+@
+When $k>1$ we order the random-effects terms so that
+$\ell_1\ge\ell_2\ge\dots\ge\ell_k$; in general, this ordering reduces
+``fill-in'' (i.e., the proportion of elements that are zero in the
+lower triangle of $\bLt\trans\bm Z\trans\bm W\bm Z\bLt+\bm I$ but not in
+the lower triangle of its left Cholesky factor, $\bm L_{\bm\theta}$,
+described below in Equation~\ref{eq:blockCholeskyDecomp}). This reduction
+in fill-in provides more efficient matrix operations within the
+penalized least squares algorithm (Section~\ref{sec:plsMath}).
+
+\subsubsection{Constructing the random-effects model matrix}
+\label{sec:mkZ}
+
+The $i$th random-effects term contributes $q_i=\ell_ip_i$ columns to
+the model matrix $\bm Z$.  We group these columns into a matrix, $\bm
+Z_i$, which we refer to as the \emph{term-wise model matrix} for the
+$i$th term.  Thus $q$, the number of columns in $\bm Z$ and the
+dimension of the random variable, $\mc{B}$, is
+\begin{equation}
+  \label{eq:qcalc}
+  q=\sum_{i=1}^k q_i = \sum_{i=1}^k \ell_i\,p_i .
+\end{equation}
+Creating the matrix $\bm Z_i$ from $\bm X_i$ and $\bm J_i$ is a
+straightforward concept that is, nonetheless, somewhat awkward to
+describe.  Consider $\bm Z_i$ as being further decomposed into
+$\ell_i$ blocks of $p_i$ columns.  The rows in the first block are the
+rows of $\bm X_i$ multiplied by the 0/1 values in the first column of
+$\bm J_i$ and similarly for the subsequent blocks.  With these
+definitions we may define the term-wise random-effects model matrix,
+$\bm Z_i$, for the $i$th term as a transposed Khatri-Rao product,
+\begin{equation}
+  \label{eq:Zi}
+  \bm Z_i = (\bm J_i\trans * \bm X_i\trans)\trans =
+  \begin{bmatrix}
+    \bm J_{i1}\trans \otimes \bm X_{i1}\trans \\
+    \bm J_{i2}\trans \otimes \bm X_{i2}\trans \\
+    \vdots \\
+    \bm J_{in}\trans \otimes \bm X_{in}\trans \\
+  \end{bmatrix},
+\end{equation}
+where $*$ and $\otimes$ are the Khatri-Rao\footnote{Note that the
+  original definition of the Khatri-Rao product is more general than
+  the definition used in the \pkg{Matrix} package, which is the
+  definition we use here.} \citep{khatri1968solutions} and Kronecker
+products, and $\bm J_{ij}\trans$ and $\bm X_{ij}\trans$ are row
+vectors of the $j$th rows of $\bm J_i$ and $\bm X_i$.  These rows
+correspond to the $j$th sample in the response vector, $\mc Y$, and
+thus $j$ runs from $1, \dots, n$.  The \pkg{Matrix} package for
+\proglang{R} contains a \code{KhatriRao} function, which can be used
+to form $\bm Z_i$.  For example, if we begin with a raw model matrix,
+<<rawModelMatrix>>=
+(Xi <- cbind(1, rep.int(c(-1, 1), 3L)))
+@
+then the term-wise random-effects
+model matrix is,
+<<KhatriRao>>=
+(Zi <- t(KhatriRao(t(Ji), t(Xi))))
+@
+<<sanityCheck, include=FALSE>>=
+## alternative formulation of Zi (eq:Zi)
+rbind(
+  Ji[1,] %x% Xi[1,],
+  Ji[2,] %x% Xi[2,],
+  Ji[3,] %x% Xi[3,],
+  Ji[4,] %x% Xi[4,],
+  Ji[5,] %x% Xi[5,],
+  Ji[6,] %x% Xi[6,])
+@
+
+In particular, for a simple, scalar term, $\bm Z_i$ is exactly $\bm
+J_i$, the matrix of indicator columns.  For other scalar terms, $\bm
+Z_i$ is formed by element-wise multiplication of the single column of
+$\bm X_i$ by each of the columns of $\bm J_i$.
+
+Because each $\bm Z_i$ is generated from indicator columns, its
+cross-product, $\bm Z_i\trans\bm Z_i$ is block-diagonal consisting of
+$\ell_i$ diagonal blocks each of size $p_i$.\footnote{To see this,
+  note that by the properties of Kronecker products we may write the
+  cross-product matrix $Z_i\trans Z_i$ as $\sum_{j=1}^n \bm J_{ij} \bm
+  J_{ij}\trans \otimes \bm X_{ij} \bm X_{ij}\trans$. Because $\bm
+  J_{ij}$ is a unit vector along a coordinate axis, the cross-product
+  $\bm J_{ij} \bm J_{ij}\trans$ is a $p_i\times p_i$ matrix of all
+  zeros except for a single $1$ along the diagonal. Therefore, the
+  cross-products, $\bm X_{ij} \bm X_{ij}\trans$, will be added to one
+  of the $\ell_i$ blocks of size $p_i\times p_i$ along the diagonal of
+  $Z_i\trans Z_i$.} Note that this means that when $k=1$ (i.e., there
+is only one random-effects term, and $\bm Z_i = \bm Z$), $\bm
+Z\trans\bm Z$ will be block diagonal.  These block-diagonal properties
+allow for more efficient sparse matrix computations
+(Section~\ref{sec:CSCmats}).
+
+The full random-effects model matrix, $\bm Z$, is constructed from
+$k\ge 1$ blocks,
+\begin{equation}
+  \label{eq:Z}
+  \bm Z =
+  \begin{bmatrix}
+    \bm Z_1 &
+    \bm Z_2 &
+    \hdots &
+    \bm Z_k \\
+  \end{bmatrix}.
+\end{equation}
+By transposing Equation~\ref{eq:Z} and substituting in Equation~\ref{eq:Zi}, we
+may represent the structure of the transposed random-effects model
+matrix as follows,
+\begin{equation}
+  \label{eq:Zt}
+  \bm Z\trans =
+  \begin{blockarray}{ccccc}
+    \text{sample 1} & \text{sample 2} & \hdots & \text{sample } n & \\
+    \begin{block}{[cccc]c}
+    \bm J_{11} \otimes \bm X_{11} &
+    \bm J_{12} \otimes \bm X_{12} &
+    \hdots &
+    \bm J_{1n} \otimes \bm X_{1n} &
+    \text{term 1} \\
+    \bm J_{21} \otimes \bm X_{21} &
+    \bm J_{22} \otimes \bm X_{22} &
+    \hdots &
+    \bm J_{2n} \otimes \bm X_{2n} &
+    \text{term 2} \\
+    \vdots & \vdots & \ddots & \vdots & \vdots \\
+    \end{block}
+  \end{blockarray}.
+\end{equation}
+Note that the proportion of elements of $Z\trans$ that are structural
+zeros is
+\begin{equation}
+  \label{eq:ZtSparsity}
+  \frac{\sum_{i=1}^k p_i(\ell_i - 1)}{\sum_{i=1}^k p_i} \qquad .
+\end{equation}
+Therefore, the sparsity of $\bm Z\trans$ increases with the number of
+grouping factor levels. As the number of levels is often large in
+practice, it is essential for speed and efficiency to take account of
+this sparsity, for example by using sparse matrix methods, when
+fitting mixed models (Section~\ref{sec:CSCmats}).
+
+\subsubsection{Constructing the relative covariance factor}
+\label{sec:mkLambdat}
+
+The $q\times q$ covariance factor, $\bLt$, is a block diagonal matrix
+whose $i$th diagonal block, $\bm\Lambda_i$, is of size
+$q_i,i=1,\dots,k$.  We refer to $\bm\Lambda_i$ as the \emph{term-wise
+  relative covariance factor}.  Furthermore, $\bm\Lambda_i$ is a
+homogeneous block diagonal matrix with each of the $\ell_i$
+lower-triangular blocks on the diagonal being a copy of a $p_i\times
+p_i$ lower-triangular \emph{template matrix}, $\bm T_i$.  The
+covariance parameter vector, $\bm\theta$, of length $m_i
+=\binom{p_i+1}{2}$, consists of the elements in the lower triangle of
+$\bm T_i,i=1,\dots,k$.  To provide a unique representation we require
+that the diagonal elements of the $\bm T_i,i=1,\dots,k$ be
+non-negative.
+
+The template, $\bm T_i$, can be constructed from the number $p_i$
+alone.  In \proglang{R} code we denote $p_i$ as \code{nc}.  For
+example, if we set \code{nc <- 3}\Sexpr{nc <- 3}, we could create the
+template for term $i$ as,
+<<nc, echo=FALSE>>=
+nc <- 3
+@
+%% sequence() is equivalent to unlist(lapply(nvec, seq_len))
+%% and (?sequence) ``mainly exists in reverence to the very early history of R''
+%% scw: i like sequence, and in fact i never understood why that
+%% statement is there in the help file.
+<<template>>=
+(rowIndices <- rep(1:nc, 1:nc))
+(colIndices <- sequence(1:nc))
+(template <- sparseMatrix(rowIndices, colIndices,
+                          x = 1 * (rowIndices == colIndices)))
+@
+Note that the \code{rowIndices} and \code{colIndices} fill the entire
+lower triangle, which contains the initial values of the covariance
+parameter vector, $\bm\theta$,
+<<thetaFromTemplate>>=
+(theta <- template@x)
+@
+<<thetaSanityCheck, include=FALSE>>=
+lFormula(Reaction ~ (Days + I(Days^2) | Subject), sleepstudy)$reTrms$theta
+@
+(because the \code{@x} slot of the sparse matrix \code{template} is a
+numeric vector containing the nonzero elements). This template
+contains three types of elements: structural zeros (denoted
+by~\code{.}), off-diagonal covariance parameters (initialized at
+\code{0}), and diagonal variance parameters (initialized at \code{1}).
+The next step in the construction of the relative covariance factor is
+to repeat the template once for each level of the grouping factor to
+construct a sparse block diagonal matrix.  For example, if we set the
+number of levels, $\ell_i$, to two, \code{nl <- 2}\Sexpr{nl <- 2}, we
+could create the transposed term-wise relative covariance factor,
+$\bm\Lambda_i\trans$, using the \code{.bdiag} function in the
+\pkg{Matrix} package,
+<<nl, echo=FALSE>>=
+nl <- 2
+@
+<<relativeCovarianceBlock>>=
+(Lambdati <- .bdiag(rep(list(t(template)), nl)))
+@
+For a model with a single random-effects term, $\bm\Lambda\trans$
+would be the initial transposed relative covariance factor
+$\bm\Lambda_{\bm\theta}\trans$ itself.
+
+The transposed relative covariance factor, $\bLt\trans$, that arises
+from parsing the formula and data is set at the initial value of the
+covariance parameters, $\bm\theta$.  However, during model fitting, it
+needs to be updated to a new $\bm\theta$ value at each iteration (see
+Section~\ref{sec:plsI}).  This is achieved by constructing a vector of
+indices, \code{Lind}, that identifies which elements of \code{theta}
+should be placed in which elements of \code{Lambdat},
+<<relativeCovarianceBlockIndices>>=
+LindTemplate <- rowIndices + nc * (colIndices - 1) - choose(colIndices, 2)
+(Lind <- rep(LindTemplate, nl))
+@
+For example, if we randomly generate a new value for \code{theta},
+<<newTheta>>=
+thetanew <- round(runif(length(theta)), 1)
+@
+we may update \code{Lambdat} as follows,
+<<relativeCovarianceBlockUpdate>>=
+Lambdati@x <- thetanew[Lind]
+@
+Section~\ref{sec:PLSpureR} describes the process of
+updating the relative covariance factor in more detail.
+
+
+\section{Objective function module}
+\label{sec:mkLmerDevfun}
+
+\subsection{Model reformulation for improved computational stability}
+\label{sec:stability}
+
+In our initial formulation of the linear mixed model
+(Equations~\ref{eq:LMMcondY}, \ref{eq:LMMuncondB}, and \ref{eq:relcovfac}),
+the covariance parameter vector, $\bm\theta$, appears only in the
+marginal distribution of the random effects (Equation~\ref{eq:LMMuncondB}).
+However, from the perspective of computational stability and
+efficiency, it is advantageous to reformulate the model such that
+$\bm\theta$ appears only in the conditional distribution for the
+response vector given the random effects.  Such a reformulation allows
+us to work with singular covariance matrices, which regularly arise in
+practice (e.g., during intermediate steps of the nonlinear optimizer,
+Section~\ref{sec:optimizeLmer}).
+
+The reformulation is made by defining a \emph{spherical}%
+\footnote{$\mathcal{N}(\bm\mu,\sigma^2\bm I)$ distributions are called
+  ``spherical'' because contours of the probability density are
+  spheres.}  \emph{random-effects} variable, $\mc U$, with
+distribution%\begin{linenomath}
+\begin{equation}
+  \label{eq:distU}
+  \mc U\sim\mathcal{N}(\bm 0,\sigma^2\bm I_q).
+\end{equation}%\end{linenomath}
+If we set,
+% \begin{linenomath}
+\begin{equation}
+  \label{eq:BequalsLamU}
+  \mc B=\bLt\mc U,
+\end{equation}%\end{linenomath}
+then $\mc B$ will have the desired $\mathcal{N}(\bm
+0,\bm\Sigma_{\bm\theta})$ distribution (Equation~\ref{eq:LMMuncondB}).
+Although it may seem more natural to define $\mc U$ in terms of $\mc
+B$ we must write the relationship as in Equation~\ref{eq:BequalsLamU} to allow
+for singular $\bLt$. The conditional distribution
+(Equation~\ref{eq:LMMcondY}) of the response vector given the random
+effects may now be reformulated as,%\begin{linenomath}
+\begin{equation}
+  \label{eq:distYgivenU}
+  (\mc Y|\mc U=\bm u)\sim\mc{N}(\bm\mu_{\mc Y|\mc U=\bm u},\sigma^2\bm W^{-1}),
+\end{equation}%\end{linenomath}
+where
+\begin{equation}
+  \label{eq:meanYgivenU}
+  \bm\mu_{\mc Y|\mc U=\bm u} = \bm X \bm\beta + \bm Z\bLt\bm u + \bm o
+\end{equation} % |
+is a vector of linear predictors, which can be interpreted as a
+conditional mean (or mode).  Similarly, we also define $\bm\mu_{\mc
+  U|\mc Y = \yobs}$ as the conditional mean (or mode) of the spherical
+random effects given the observed value of the response vector. Note
+also that we use the $\bm u$ symbol throughout to represent a specific
+value of the random variable, $\mc U$.
+
+\subsection{Penalized least squares}
+\label{sec:plsMath}
+
+Our computational methods for maximum likelihood fitting of the linear
+mixed model involve repeated applications of the PLS method. In
+particular, the PLS problem is to minimize the penalized weighted
+residual sum-of-squares,
+\begin{equation}
+  \label{eq:pwrss}
+  r^2(\bm\theta, \bm\beta, \bm u)
+  = \rho^2(\bm\theta, \bm\beta, \bm u)
+  + \left\| \bm u \right\|^2,
+\end{equation}
+over $\begin{bmatrix} \bm u \\
+  \bm\beta \\ \end{bmatrix}$, where,
+\begin{equation}
+  \label{eq:wrss}
+  \rho^2(\bm\theta, \bm\beta, \bm u) = \left\|
+  \bm W^{1/2}\left[\yobs - \bm\mu_{\mc Y|\mc U=\bm u} \right]\right\|^2,
+\end{equation} %|
+is the weighted residual sum-of-squares. This notation makes explicit
+the fact that $r^2$ and $\rho^2$ both depend on $\bm\theta$,
+$\betavec$, and $\bm u$.  The reason for the word ``penalized'' is that
+the term, $\left\| \bm u \right\|^2$, in Equation~\ref{eq:pwrss} penalizes models with
+larger magnitude values of $\bm u$.
+
+In the so-called ``pseudo-data'' approach we write the penalized
+weighted residual sum-of-squares as the squared length of a block
+matrix equation,
+\begin{equation}
+  \label{eq:pwrssPseudoData}
+  r^2(\bm\theta,\bm\beta,\bm u) =
+  \left\|
+  \begin{bmatrix}
+  \bm W^{1/2}(\yobs - \bm o) \\
+  \bm 0
+  \end{bmatrix} -
+  \begin{bmatrix}
+  \bm W^{1/2}\bm Z\bm\bLt & \bm W^{1/2}\bm X \\
+  \bm I_q & \bm 0 \\
+  \end{bmatrix}
+  \begin{bmatrix}
+  \bm u \\
+  \bm\beta \\
+  \end{bmatrix}
+  \right\|^2.
+\end{equation}
+This pseudo-data approach shows that the PLS problem may also be
+thought of as a standard least squares problem for an extended
+response vector, which implies that the minimizing value,
+$\begin{bmatrix}
+  \bm\mu_{\mc U|\mc Y = \yobs} \\
+  \widehat{\bm\beta}_{\bm\theta} \\ \end{bmatrix}$, satisfies the
+normal equations,
+\begin{equation}
+  \label{eq:normalEquations}
+  \begin{bmatrix}
+    \bLt\trans \bm Z\trans \bm W (\yobs - \bm o) \\
+    \bm X\trans \bm W (\yobs - \bm o) \\
+  \end{bmatrix} =
+  \begin{bmatrix}
+    \bLt\trans \bm Z\trans \bm W \bm Z \bLt + \bm I &
+    \bLt\trans \bm Z\trans \bm W \bm X \\
+    \bm X\trans \bm W \bm Z \bLt &
+    \bm X\trans \bm W \bm X \\
+  \end{bmatrix}
+  \begin{bmatrix}
+    \mu_{\mc U | \mc Y = \yobs} \\ \widehat{\betavec}_{\bm\theta}
+  \end{bmatrix} ,
+\end{equation} % |
+where $\mu_{\mc U | \mc Y = \yobs}$ is the conditional mean of $\mc U$
+given that $\mc Y = \yobs$.  Note that this conditional mean depends
+on $\bm\theta$, although we do not make this dependency explicit in
+order to reduce notational clutter.
+
+The cross-product matrix in Equation~\ref{eq:normalEquations} can be
+Cholesky decomposed,
+\begin{equation}
+  \label{eq:blockCholeskyDecomp}
+  \begin{bmatrix}
+    \bLt\trans \bm Z\trans \bm W \bm Z \bLt + \bm I &
+    \bLt\trans \bm Z\trans \bm W \bm X \\
+    \bm X\trans \bm W \bm Z \bLt &
+    \bm X\trans \bm W \bm X \\
+  \end{bmatrix} =
+  \begin{bmatrix}
+    \bm L_{\bm\theta} & \bm 0 \\
+    \bm R\trans_{ZX} & \bm R\trans_{X} \\
+  \end{bmatrix}
+  \begin{bmatrix}
+    \bm L\trans_{\bm\theta} & \bm R_{ZX} \\
+    \bm 0 & \bm R_{X}
+  \end{bmatrix} .
+\end{equation}
+We may use this decomposition to rewrite the penalized weighted
+residual sum-of-squares as,
+\begin{equation}
+  \label{eq:pwrssIdentity}
+  \begin{aligned}
+  r^2(\bm\theta,\bm\beta,\bm u) = r^2(\bm\theta) &
+  + \left\|\bm L\trans_{\bm\theta} (\bm u - \bm\mu_{\mc U|\mc Y = \yobs})
+  +    \bm R_{ZX} (\bm\beta - \widehat{\bm\beta}_{\bm\theta})\right\|^2
+  + \left\|\bm R_{X} (\bm\beta - \widehat{\bm\beta}_{\bm\theta})\right\|^2,
+  \end{aligned}
+\end{equation} % |
+where we have simplified notation by writing
+$r^2(\bm\theta,\widehat{\bm\beta}_{\bm\theta},\bm\mu_{\mc U|\mc Y =
+  \yobs})$ as $r^2(\bm\theta)$. This is an important expression in the
+theory underlying \pkg{lme4}. It relates the penalized weighted
+residual sum-of-squares, $r^2(\bm\theta,\bm\beta,\bm u)$, with its
+minimum value, $r^2(\bm\theta)$.  This relationship is useful in the
+next section where we integrate over the random effects, which is
+required for maximum likelihood estimation.
+
+\subsection{Probability densities}
+\label{sec:densities}
+
+The residual sums-of-squares discussed in the previous section can be
+used to express various probability densities, which are required for
+maximum likelihood estimation of the linear mixed model\footnote{These
+  expressions only technically hold at the observed value, $\yobs$, of
+  the response vector, $\mc Y$.},
+\begin{align}
+  \label{eq:densityYgivenU}
+  f_{\mc Y | \mc U}(\yobs|\bm u) & =
+  \frac{|\bm W|^{1/2}}{(2\pi\sigma^2)^{n/2}}
+  \exp\left[\frac{-\rho^2(\bm\theta,\bm\beta,\bm u)}{2\sigma^2}\right] ,\\
+  \label{eq:densityU}
+  f_{\mc U}(\bm u) &=
+  \frac{1}{(2\pi\sigma^2)^{q/2}}
+  \exp\left[\frac{-\left\| \bm u \right\|^2}{2\sigma^2}\right] ,\\
+  \label{eq:densityYU}
+  f_{\mc Y , \mc U}(\yobs,\bm u) & =
+  \frac{|\bm W|^{1/2}}{(2\pi\sigma^2)^{(n+q)/2}}
+  \exp\left[\frac{-r^2(\bm\theta,\bm\beta,\bm u)}{2\sigma^2}\right] , \\
+  \label{eq:densityUgivenY}
+  f_{\mc U | \mc Y}(\bm u | \yobs) & =
+  \frac{f_{\mc Y , \mc U}(\yobs,\bm u)}{f_{\mc Y}(\yobs)} , \\
+\end{align}
+where
+\begin{equation}
+  \label{eq:densityY}
+  f_{\mc Y}(\yobs) =
+  \int f_{\mc Y , \mc U}(\yobs,\bm u)d\bm u .
+\end{equation}
+The log-likelihood to be maximized can therefore be expressed as,
+\begin{equation}
+  \label{eq:likelihood}
+  \mc L(\bm\theta,\bm\beta,\sigma^2 | \yobs) = \log f_{\mc Y}(\yobs).
+\end{equation} % |
+
+The integral in Equation~\ref{eq:densityY} may be more explicitly written
+as,
+\begin{equation}
+  \label{eq:densityYexpand}
+  \begin{aligned}
+  f_{\mc Y}(\yobs) =
+  \frac{|\bm W|^{1/2}}{(2\pi\sigma^2)^{(n+q)/2}} &
+  \exp\left[\frac{
+  -r^2(\bm\theta)
+  - \left\|\bm R_{X} (\bm\beta - \widehat{\bm\beta}_{\bm\theta})\right\|^2
+  }{2\sigma^2}\right] \\ &
+    \int \exp\left[\frac{
+  - \left\|\bm L\trans_{\bm\theta} (\bm u - \bm\mu_{\mc U|\mc Y = \yobs})
+  +    \bm R_{ZX} (\bm\beta - \widehat{\bm\beta}_{\bm\theta})\right\|^2
+  }{2\sigma^2}\right]
+   d\bm u ,
+  \end{aligned}
+\end{equation} % |
+which can be evaluated with the change of variables,
+\begin{equation}
+  \label{eq:changeOfVariables}
+  \bm v = \bm L\trans_{\bm\theta} (\bm u - \mu_{\mc U|\mc Y = \yobs})
+  +    \bm R_{ZX} (\bm\beta - \widehat{\bm\beta}_{\bm\theta}) .
+\end{equation} % |
+The Jacobian determinant of the transformation from $\bm u$ to $\bm
+v$ is $|\bm L_{\bm\theta} |$. Therefore we are able to write the integral
+as,
+\begin{equation}
+  \label{eq:densityYintermediate}
+  \begin{aligned}
+  f_{\mc Y}(\yobs) =
+  \frac{|\bm W|^{1/2}}{(2\pi\sigma^2)^{(n+q)/2}} &
+  \exp\left[\frac{
+  -r^2(\bm\theta)
+  - \left\|\bm R_{X} (\bm\beta - \widehat{\bm\beta}_{\bm\theta})\right\|^2
+  }{2\sigma^2}\right] \\ &
+    \int \exp\left[\frac{
+  - \left\|\bm v\right\|^2
+  }{2\sigma^2}\right]
+   |\bm L_{\bm\theta}|^{-1} d\bm v ,
+  \end{aligned}
+\end{equation}
+which by the properties of exponential integrands becomes,
+\begin{equation}
+  \label{eq:densityYfinal}
+   \exp\mc L(\bm\theta,\bm\beta,\sigma^2 | \yobs) = f_{\mc Y}(\yobs) =
+  \frac{|\bm W|^{1/2}|\bm L_{\bm\theta}|^{-1}}{(2\pi\sigma^2)^{n/2}}
+  \exp\left[\frac{
+  -r^2(\bm\theta)
+  - \left\|\bm R_{X} (\bm\beta - \widehat{\bm\beta}_{\bm\theta})\right\|^2
+  }{2\sigma^2}\right] .
+\end{equation}
+
+\subsection{Evaluating and profiling the deviance and the REML criterion}
+\label{sec:profdev}
+
+We are now in a position to understand why the formulation in
+Equations~\ref{eq:LMMcondY} and \ref{eq:LMMuncondB} is particularly
+useful. We are able to explicitly profile $\betavec$ and $\sigma$ out
+of the log-likelihood (Equation~\ref{eq:likelihood}), to find a compact
+expression for the profiled deviance (negative twice the profiled
+log-likelihood) and the profiled REML criterion as a function of the
+relative covariance parameters, $\bm\theta$, only.  Furthermore these
+criteria can be evaluated quickly and accurately.
+
+To estimate the parameters, $\bm\theta$, $\bm\beta$, and $\sigma^2$, we
+minimize negative twice the log-likelihood, which can be written as,
+\begin{equation}
+  \label{eq:fullDeviance}
+  -2\mc L(\bm\theta,\bm\beta,\sigma^2 | \yobs) =    % |
+  \log\frac{|\bm L_{\bm\theta}|^2}{|\bm W|}
+  + n\log(2\pi\sigma^2)
+  + \frac{r^2(\bm\theta)}{\sigma^2}
+  + \frac{ \left\|\bm R_{X} (\bm\beta -
+    \widehat{\bm\beta}_{\bm\theta})\right\|^2}{\sigma^2} .
+\end{equation}
+It is very easy to profile out $\bm\beta$, because it enters into
+the ML criterion only through the final term, which is zero if
+$\bm\beta = \widehat{\bm\beta}_{\bm\theta}$, where
+$\widehat{\bm\beta}_{\bm\theta}$ is found by solving the penalized
+least-squares problem in Equation~\ref{eq:pwrssPseudoData}. Therefore we
+can write a partially profiled ML criterion as,
+\begin{equation}
+  \label{eq:partiallyProfiledDeviance}
+  -2\mc L(\bm\theta,\sigma^2 | \yobs)  =    % |
+  \log\frac{|\bm L_{\bm\theta}|^2}{|\bm W|}
+  + n\log(2\pi\sigma^2)
+  + \frac{r^2(\bm\theta)}{\sigma^2} .
+\end{equation}
+This criterion is only partially profiled because it still depends on
+$\sigma^2$. Differentiating this criterion with respect to $\sigma^2$
+and setting the result equal to zero yields,
+\begin{equation}
+  \label{eq:residualVarianceEstimatingEquation}
+  0 = \frac{n}{\widehat{\sigma}_{\bm\theta}^2} -
+  \frac{r^2(\bm\theta)}{\widehat{\sigma}_{\bm\theta}^4},
+\end{equation}
+which leads to a maximum profiled likelihood estimate,
+\begin{equation}
+  \label{eq:residualVarianceEstimate}
+  \widehat{\sigma}_{\bm\theta}^2 = \frac{r^2(\bm\theta)}{n}.
+\end{equation}
+This estimate can be substituted into the partially profiled criterion to yield the
+fully profiled ML criterion,
+\begin{equation}
+  \label{eq:profiledDeviance}
+  -2\mc L(\bm\theta | \yobs)  =           % |
+  \log\frac{|\bm L_{\bm\theta}|^2}{|\bm W|}
+  + n\left[1 + \log\left(
+  \frac{2\pi r^2(\bm\theta)}{n}
+  \right)\right] .
+\end{equation}
+This expression for the profiled deviance depends only on
+$\bm\theta$. Although $q$, the number of columns in $\bm Z$ and the
+size of $\bm\Sigma_{\bm\theta}$, can be very large indeed, the
+dimension of $\bm\theta$ is small, frequently less than 10. The
+\pkg{lme4} package uses generic nonlinear optimizers
+(Section~\ref{sec:optimizeLmer}) to optimize this expression over
+$\bm\theta$ to find its maximum likelihood estimate.
+
+\subsubsection{The REML criterion}
+\label{sec:reml}
+
+The REML criterion can be obtained by integrating the marginal density
+for $\mc Y$ with respect to the fixed effects \citep{laird_ware_1982},
+\begin{equation}
+  \label{eq:REMLintegral}
+  \int f_{\mc Y}(\yobs)d\bm\beta =
+  \frac{|\bm W|^{1/2}|\bm L_{\bm\theta}|^{-1}}{(2\pi\sigma^2)^{n/2}}
+  \exp\left[\frac{-r^2(\bm\theta)}{2\sigma^2}\right]
+  \int \exp\left[\frac{
+  - \left\|\bm R_{X} (\bm\beta - \widehat{\bm\beta}_{\bm\theta})\right\|^2
+  }{2\sigma^2}\right]d\bm\beta ,
+\end{equation}
+which can be evaluated with the change of variables,
+\begin{equation}
+  \label{eq:REMLchangeOfVariables}
+  \bm v = \bm R_{X} (\bm\beta - \widehat{\bm\beta}_{\bm\theta}) .
+\end{equation}
+The Jacobian determinant of the transformation from $\bm\beta$ to
+$\bm v$ is $|\bm R_X |$. Therefore we are able to write the
+integral as,
+\begin{equation}
+  \label{eq:REMLintegralIntermediate}
+  \int f_{\mc Y}(\yobs)d\bm\beta =
+  \frac{|\bm W|^{1/2}|\bm L_{\bm\theta}|^{-1}}{(2\pi\sigma^2)^{n/2}}
+  \exp\left[\frac{-r^2(\bm\theta)}{2\sigma^2}\right]
+  \int \exp\left[\frac{
+  - \left\|\bm v\right\|^2
+  }{2\sigma^2}\right]|\bm R_X|^{-1} d\bm v ,
+\end{equation}
+which simplifies to,
+\begin{equation}
+  \label{eq:REMLintermediate}
+  \int f_{\mc Y}(\yobs)d\bm\beta =
+  \frac{|\bm W|^{1/2}|\bm L_{\bm\theta}|^{-1}|\bm R_X|^{-1}}{(2\pi\sigma^2)^{(n-p)/2}}
+  \exp\left[\frac{-r^2(\bm\theta)}{2\sigma^2}\right] .
+\end{equation}
+Minus twice the log of this integral is the (unprofiled) REML criterion,
+\begin{equation}
+  \label{eq:REMLdeviance}
+  -2\mc L_R(\bm\theta,\sigma^2 | \yobs) =
+  \log\frac{|\bm L_{\bm\theta}|^2|\bm R_X|^2}{|\bm W|}
+  + (n-p)\log(2\pi\sigma^2)
+  + \frac{r^2(\bm\theta)}{\sigma^2} .
+\end{equation}
+Note that because $\bm\beta$ gets integrated out, the REML criterion
+cannot be used to find a point estimate of $\bm\beta$. However, we
+follow others in using the maximum likelihood estimate,
+$\widehat{\bm\beta}_{\widehat{\bm\theta}}$, at the optimum value of
+$\bm\theta = \widehat{\bm\theta}$. The REML estimate of $\sigma^2$ is,
+\begin{equation}
+  \label{eq:REMLresidualVarianceEstimate}
+  \widehat{\sigma}_{\bm\theta}^2 = \frac{r^2(\bm\theta)}{n-p} ,
+\end{equation}
+which leads to the profiled REML criterion,
+\begin{equation}
+  \label{eq:REMLprofiled}
+  -2\mc L_R(\bm\theta | \yobs) =
+  \log\frac{|\bm L_{\bm\theta}|^2|\bm R_X|^2}{|\bm W|}
+  + (n-p)\left[1 + \log\left(\frac{2\pi
+        r^2(\bm\theta)}{n-p}\right)\right] .
+\end{equation}
+
+\subsection{Changes relative to previous formulations}
+\label{sec:previous_lmm_form}
+
+We compare the PLS problem as formulated in Section~\ref{sec:plsMath}
+with earlier versions and describe why we use this version.  What have
+become known as ``Henderson's mixed-model equations'' are given as
+Equation 6 of \citet{henderson_1982} and would be expressed as,
+\begin{equation}
+  \label{eq:henderson}
+  \begin{bmatrix}
+    \bm X\trans\bm X/\sigma^2& \bm X\trans\bm Z/\sigma^2\\
+    \bm Z\trans\bm X/\sigma^2& \bm Z\trans\bm Z/\sigma^2 + \bm\Sigma^{-1}
+  \end{bmatrix}
+  \begin{bmatrix}
+    \widehat{\bm\beta}_\theta \\ \bm\mu_{\mc B|\mc Y=\yobs}
+  \end{bmatrix}=
+  \begin{bmatrix}\bm X\trans\yobs/\sigma^2\\\bm Z\trans\yobs/\sigma^2
+  \end{bmatrix} ,
+\end{equation}
+in our notation (ignoring weights and offsets, without loss of
+generality).  The matrix written as $\bm R$ in \citet{henderson_1982}
+is $\sigma^2\bm I_n$ in our formulation of the model.
+
+\citet{bates04:_linear} modified the PLS equations to
+\begin{equation}
+  \label{eq:batesDebRoy}
+  \begin{bmatrix}
+    \bm Z\trans\bm Z+\bm\Omega&\bm Z\trans\bm X\\
+    \bm X\trans\bm Z&\bm X\trans\bm X
+  \end{bmatrix}
+  \begin{bmatrix}
+     \bm\mu_{\mc B|\mc Y=\yobs}\\\widehat{\bm\beta}_\theta
+  \end{bmatrix}=
+  \begin{bmatrix}\bm Z\trans\yobs\\\bm X\trans\yobs\end{bmatrix} \quad .
+\end{equation}
+where
+$\bm\Omega_\theta=\left(\bLt\trans\bLt\right)^{-1}=\sigma^2\bm\Sigma^{-1}$
+is the \emph{relative precision matrix} for a given value of
+$\bm\theta$.  They also showed that the profiled log-likelihood can be
+expressed (on the deviance scale) as
+\begin{equation}
+  \label{eq:batesDebRoyprofdev}
+  -2\mc L(\bm\theta)=
+  \log\left(\frac{|\bm Z\trans\bm Z+\bm\Omega|}{|\bm\Omega|}\right) +
+  n\left[1+\log\left(\frac{2\pi r^2_\theta}{n}\right)\right] .
+\end{equation}
+
+The primary difference between Equation~\ref{eq:henderson} and
+Equation~\ref{eq:batesDebRoy} is the order of the blocks in the system matrix.
+The PLS problem can be solved using a Cholesky factor of the system
+matrix with the blocks in either order.  The advantage of using the
+arrangement in Equation~\ref{eq:batesDebRoy} is to allow for evaluation of
+the profiled log-likelihood.  To evaluate $|\bm Z\trans\bm
+Z+\bm\Omega|$ from the Cholesky factor that block must be in the
+upper-left corner, not the lower right.  Also, $\bm Z$ is sparse whereas $\bm
+X$ is usually dense.  It is straightforward to exploit the sparsity of
+$\bm Z\trans\bm Z$ in the Cholesky factorization when the block containing
+this matrix is the first block to be factored.  If $\bm X\trans\bm X$ is the first block to be factored, it is much more difficult to
+preserve sparsity.
+
+The main change from the formulation in \citet{bates04:_linear} to the
+current formulation is the use of a relative covariance factor,
+$\bLt$, instead of a relative precision matrix, $\bm\Omega_\theta$,
+and solving for the mean of $\mc U|\mc Y = \yobs$ instead of the mean
+of $\mc B|\mc Y = \yobs$.  This change improves stability, because the
+solution to the PLS problem in Section~\ref{sec:plsMath} is
+well-defined when $\bLt$ is singular whereas the formulation in
+Equation~\ref{eq:batesDebRoy} cannot be used in these cases because
+$\bm\Omega_\theta$ does not exist.
+
+It is important to allow for $\bLt$ to be singular because situations
+where the parameter estimates, $\widehat{\bm\theta}$, produce a
+singular $\bm\Lambda_{\widehat{\theta}}$ do occur in practice.  And
+even if the parameter estimates do not correspond to a singular
+$\bm\Lambda_\theta$, it may be desirable to evaluate the estimation
+criterion at such values during the course of the numerical
+optimization of the criterion.
+
+\citet{bates04:_linear} also provided expressions for the gradient of
+the profiled log-likelihood expressed as
+Equation~\ref{eq:batesDebRoyprofdev}.  These expressions can be translated
+into the current formulation.  From Equation~\ref{eq:profiledDeviance} we can see
+that (again ignoring weights),
+\begin{equation}
+  \label{eq:grad}
+  \begin{aligned}
+    \nabla\left(-2\mc L(\theta)\right)
+    &=\nabla\log(|\bm L_\theta|^2)+\nabla \left(n\log(r^2(\bm\theta))\right)\\
+    &=\nabla\log(|\bLt\trans\bm Z\trans\bm Z\bLt+\bm I|)+
+    n\left(\nabla r^2(\bm\theta)\right)/r^2(\bm\theta)\\
+    &=\nabla\log(|\bLt\trans\bm Z\trans\bm Z\bLt+\bm I|)+
+    \left(\nabla r^2(\bm\theta)\right)/(\widehat{\sigma^2}).
+  \end{aligned}
+\end{equation}
+The first gradient is easy to express but difficult to evaluate for
+the general model.  The individual elements of this gradient are
+\begin{equation}
+  \label{eq:graddet}
+  \begin{aligned}
+    \frac{\partial\log(|\bLt\trans\bm Z\trans\bm Z\bLt+\bm
+      I|)}{\partial \theta_i} &=
+    \tr\left[\frac{\partial\left(\bLt\trans\bm Z\trans\bm
+          Z\bLt\right)}{\partial\theta_i}
+      \left(\bLt\trans\bm Z\trans\bm Z\bLt+\bm I\right)^{-1}\right]\\
+    &=\tr\left[
+      \left(\bm L_\theta\bm L_\theta\trans\right)^{-1}
+      \left(
+        \bLt\trans\bm Z\trans\bm Z\frac{\partial\bLt}{\partial\theta_i} +
+        \frac{\partial\bLt\trans}{\partial\theta_i}\bm Z\trans\bm Z\bLt
+      \right)
+    \right] .
+  \end{aligned}
+\end{equation}
+The second gradient term can be expressed as a linear function of the
+residual, with individual elements of the form
+\begin{equation}
+  \label{eq:gradr2}
+  \frac{\partial r^2(\bm\theta)}{\partial\theta_i}=
+  -2\bm u\trans\frac{\partial\bLt\trans}{\partial\theta_i}\bm
+  Z\trans\left(\bm y-\bm Z\bLt\bm u-\bm X\widehat{\bm\beta}_{\bm\theta
+   }\right),
+\end{equation}
+using the results of \citet{golub_pereyra_1973}. Although we do not
+use these results in \pkg{lme4}, they are used for certain model types
+in the \pkg{MixedModels} package for \proglang{Julia} and do provide
+improved performance.
+
+
+\subsection{Penalized least squares algorithm}
+\label{sec:PLSpureR}
+
+For efficiency, in \pkg{lme4} itself, PLS is implemented in compiled
+\proglang{C++} code using the \pkg{Eigen} \citep{Eigen} templated \proglang{C++}
+package for numerical linear algebra.  Here however, in order to
+improve readability we describe a version in pure \proglang{R}.
+Section~\ref{sec:CSCmats} provides greater detail on the techniques
+and concepts for computational efficiency, which is important in cases
+where the nonlinear optimizer (Section~\ref{sec:optimizeLmer})
+requires many iterations.
+
+The PLS algorithm takes a vector of covariance parameters,
+$\bm\theta$, as inputs and returns the profiled deviance (Equation
+\ref{eq:profiledDeviance}) or the REML criterion
+(Equation \ref{eq:REMLprofiled}). This PLS algorithm consists of four main
+steps:
+\begin{enumerate}
+\item Update the relative covariance factor (Section~\ref{sec:plsI}).
+\item Solve the normal equations (Section~\ref{sec:plsII}).
+\item Update the linear predictor and residuals (Section~\ref{sec:plsIII}).
+\item Compute and return the profiled deviance (Section~\ref{sec:plsIV}).
+\end{enumerate}
+PLS also requires the objects described in Table~\ref{tab:inputsPLS},
+which define the structure of the model.  These objects do not get
+updated during the PLS iterations, and so it is useful to store
+various matrix products involving them (Table~\ref{tab:constantPLS}).
+Table~\ref{tab:updatePLS} lists the objects that do get updated over
+the PLS iterations.  The symbols in this table correspond to a version
+of \pkg{lme4} that is implemented entirely in \proglang{R} (i.e., no
+compiled code as in \pkg{lme4} itself).  This implementation is called
+\pkg{lme4pureR} and is currently available on \github\
+(\url{https://github.com/lme4/lme4pureR/}).
+
+\begin{table}[tb]
+  \centering
+  \begin{minipage}{\textwidth}
+  \begin{tabular}{p{1.8in}llp{1.6in}}
+    \hline
+    Name/description & Pseudocode & Math & Type \\
+    \hline
+    Mapping from covariance parameters to relative covariance factor &
+    \code{mapping} &  & function \\
+    Response vector & \code{y} & $\yobs$ (Section~\ref{sec:LMMs}) & double vector \\
+    Fixed-effects model matrix & \code{X} & $\bm X$ (Equation~\ref{eq:LMMcondY}) & double dense\footnote{In previous versions of \pkg{lme4} a sparse $X$ matrix, useful for models with categorical fixed-effect predictors with many levels, could be specified; this feature is not currently available.}
+    matrix \\
+    Transposed random-effects model matrix & \code{Zt} & $\bm Z\trans$
+    (Equation~\ref{eq:LMMcondY}) &
+    double sparse matrix \\
+    Square-root weights matrix & \code{sqrtW} & $\bm W^{1/2}$
+    (Equation~\ref{eq:LMMcondY}) & double diagonal matrix \\
+    Offset & \code{offset} & $\bm o$ (Equation~\ref{eq:LMMcondY}) & double vector \\
+    \hline
+  \end{tabular}
+  \renewcommand{\footnoterule}{%
+    \kern -3pt
+    \hrule width \textwidth height 0pt
+    \kern 2pt
+  }
+  \end{minipage}
+  \caption{Inputs into a linear mixed model.}
+  \label{tab:inputsPLS}
+\end{table}
+
+\begin{table}[tb]
+  \centering
+  \begin{tabular}{ll}
+    \hline
+    Pseudocode & Math \\
+    \hline
+    \code{ZtW} & $\bm Z\trans\bm W^{1/2}$ \\
+    \code{ZtWy} & $\bm Z\trans\bm W \yobs$ \\
+    \code{ZtWX} & $\bm Z\trans\bm W \bm X$ \\
+    \code{XtWX} & $\bm X\trans\bm W \bm X$ \\
+    \code{XtWy} & $\bm X\trans\bm W \yobs$ \\
+    \hline
+  \end{tabular}
+  \caption{Constant symbols involved in penalized least squares.}
+  \label{tab:constantPLS}
+\end{table}
+
+
+\begin{table}[tb]
+  \centering
+  \begin{tabular}{p{1.7in}llp{1.5in}}
+    \hline
+    Name/description & Pseudocode & Math & Type \\
+    \hline
+    Relative covariance factor & \code{lambda} & $\bLt$
+    (Equation~\ref{eq:relcovfac})
+    & double sparse lower-triangular matrix  \\
+    Random-effects Cholesky factor & \code{L} & $\bm L_{\bm\theta}$
+    (Equation~\ref{eq:blockCholeskyDecomp})
+    & double sparse triangular matrix \\
+    Intermediate vector in the solution of the normal equations &
+    \code{cu} & $\bm c_u$ (Equation~\ref{eq:cu}) & double vector \\
+    Block in the full Cholesky factor & \code{RZX} & $\bm R_{ZX}$
+    (Equation~\ref{eq:blockCholeskyDecomp})  & double dense matrix \\
+    Cross-product of the fixed-effects Cholesky factor & \code{RXtRX}
+    & $\bm R_X\trans\bm R_X$ (Equation~\ref{eq:RX}) & double dense matrix \\
+    Fixed-effects coefficients & \code{beta} & $\bm\beta$
+    (Equation~\ref{eq:LMMcondY}) & double vector \\
+    Spherical conditional modes & \code{u} & $\bm u$ (Section~\ref{sec:stability}) & double vector \\
+    Non-spherical conditional modes & \code{b}
+    & $\bm b$ (Equation~\ref{eq:LMMcondY}) & double vector \\
+    Linear predictor & \code{mu} & $\bm\mu_{\mc Y|\mc U=\bm u}$
+    (Equation~\ref{eq:meanYgivenU}) & double vector \\
+    Weighted residuals & \code{wtres} & $\bm W^{1/2} (\yobs - \mu)$ &
+    double vector \\
+    Penalized weighted residual sum-of-squares & \code{pwrss} &
+    $r^2(\bm\theta)$ (Equation~\ref{eq:pwrssIdentity}) &
+    double \\
+    Twice the log determinant random-effects Cholesky factor  &
+    \code{logDet}
+    & $\log|\bm L_{\bm\theta}|^2$ & double \\
+    \hline
+  \end{tabular}
+  \caption{Quantities updated during an evaluation of the linear mixed model
+    objective function.}
+  \label{tab:updatePLS}
+\end{table}
+
+
+\subsubsection{PLS step I: Update relative covariance factor}
+\label{sec:plsI}
+
+The first step of PLS is to update the relative covariance factor,
+$\bLt$, from the current value of the covariance parameter vector,
+$\bm\theta$.  The updated $\bLt$ is then used to update the random-effects
+Cholesky factor, $\bm L_{\bm\theta}$
+(Equation~\ref{eq:blockCholeskyDecomp}).  The mapping from the covariance
+parameters to the relative covariance factor can take many forms, but
+in general involves a function that takes $\bm\theta$ into the values
+of the nonzero elements of $\bLt$.
+
+If $\bLt$ is stored as an object of class `\code{dgCMatrix}' from the
+\pkg{Matrix} package for \proglang{R}, then we may update $\bLt$ from
+$\bm\theta$ by,
+<<PLSupdateTheta, eval = FALSE>>=
+Lambdat@x[] <- mapping(theta)
+@
+where \code{mapping} is an \proglang{R} function that both accepts and
+returns a numeric vector. The nonzero elements of sparse matrix
+classes in \pkg{Matrix} are stored in a slot called \code{x}.
+
+In the current version of \pkg{lme4} (v. 1.1-7) the mapping from
+$\bm\theta$ to $\bLt$ is represented as an \proglang{R} integer
+vector, \code{Lind}, of indices, so that
+<<PLSupdateThetaWithLind>>=
+mapping <- function(theta) theta[Lind]
+@
+The index vector \code{Lind} is computed during the model setup and
+stored in the function's environment.  Continuing the example from
+Section~\ref{sec:mkLambdat}, consider a new value for \code{theta},
+<<exampleNewTheta>>=
+thetanew <- c(1, -0.1, 2, 0.1, -0.2, 3)
+@
+To put these values in the appropriate elements in \code{Lambdati},
+we use \code{mapping},
+<<exampleLindUpdate>>=
+Lambdati@x[] <- mapping(thetanew)
+Lambdati
+@ %
+This \code{Lind} approach can be useful for extending the capabilities
+of \pkg{lme4} by using the modular approach to fitting mixed models.
+For example, Appendix~\ref{sec:zeroSlopeSlope} shows how to use
+\code{Lind} to fit a model where two random slopes are uncorrelated,
+but both slopes are correlated with an intercept.
+
+The mapping from the covariance parameters to the relative covariance
+factor is treated differently in other implementations of the
+\code{lme4} approach to linear mixed models.  At the other extreme, the
+\code{flexLambda} branch of \pkg{lme4} and the \pkg{lme4pureR} package
+provide the capabilities for a completely general mapping.  This added
+flexibility has the advantage of allowing a much wider variety of
+models (e.g., compound symmetry, auto-regression).  However, the
+disadvantage of this approach is that it becomes possible to fit a
+much wider variety of ill-posed models.  Finally, if one would like
+such added flexibility with the current stable version of \pkg{lme4},
+it is always possible to use the modular approach to wrap the
+\code{Lind}-based deviance function in a general mapping function
+taking a parameter to be optimized, say $\phi$, into $\bm\theta$.
+However, this approach is likely to be inefficient in many cases.
+
+The \code{update} method from the \pkg{Matrix} package efficiently
+updates the random-effects Cholesky factor, $\bm L_{\bm\theta}$, from a
+new value of $\bm\theta$ and the updated $\bLt$.
+<<updateL, eval=FALSE>>=
+L <- update(L, Lambdat %*% ZtW, mult = 1)
+@
+The \code{mult = 1} argument corresponds to the addition of the
+identity matrix to the upper-left block on the left-hand-side of
+Equation~\ref{eq:blockCholeskyDecomp}.
+
+\subsubsection{PLS step II:  solve normal equations}
+\label{sec:plsII}
+
+With the new covariance parameters installed in $\bLt$, the next step
+is to solve the normal equations (Equation~\ref{eq:normalEquations}) for the
+current estimate of the fixed-effects coefficients,
+$\widehat{\betavec}_{\bm\theta}$, and the conditional mode, $\mu_{\mc
+  U|\mc Y = \yobs}$. We solve these equations using a sparse Cholesky
+factorization (Equation~\ref{eq:blockCholeskyDecomp}).  In a complex model
+fit to a large data set, the dominant calculation in the evaluation of
+the profiled deviance (Equation~\ref{eq:profiledDeviance}) or REML criterion
+(Equation~\ref{eq:REMLprofiled}) is this sparse Cholesky factorization
+(Equation~\ref{eq:blockCholeskyDecomp}).  The factorization is performed in two
+phases; a symbolic phase and a numeric phase.  The symbolic phase, in
+which the fill-reducing permutation $\bm P$ is determined along with
+the positions of the nonzeros in $\bm L_{\bm\theta}$, does not depend
+on the value of $\bm\theta$.  It only depends on the positions of the
+nonzeros in $\bm Z\bLt$.  The numeric phase uses $\bm\theta$ to
+determine the numeric values of the nonzeros in $\bm
+L_{\bm\theta}$. Using this factorization, the solution proceeds by the
+following steps,
+\begin{align}
+    \bm L_{\bm\theta}\bm c_u&=\bm P\bLt\trans\bm Z\trans\bm W\bm y\label{eq:cu}\\
+    \bm L_{\bm\theta}\bm R_{ZX}&=\bm P\bLt\trans\bm Z\trans\bm W\bm X\label{eq:RZX}\\
+    \bm R_X\trans\bm R_X&=\bm X\trans\bm W\bm X-\bm R_{ZX}\trans\bm R_{ZX}\label{eq:RX}\\
+    \left(\bm R_X\trans\bm R_X\right)\widehat{\bm\beta}_{\bm\theta}&=
+      \bm X\trans\bm W\bm y-\bm R_{ZX}\bm c_u\label{eq:betahat}\\
+    \bm L\trans\bm_{\bm\theta} \bm P\bm u&=\bm c_u-\bm R_{ZX}\widehat{\bm\beta}_{\bm\theta}\label{eq:tildeu}
+\end{align}
+which can be solved using the \pkg{Matrix} package with,
+<<PLSsolve, eval = FALSE>>=
+cu[] <- as.vector(solve(L, solve(L, Lambdat %*% ZtWy,
+                                 system = "P"), system = "L"))
+RZX[] <- as.vector(solve(L, solve(L, Lambdat %*% ZtWX,
+                                  system = "P"), system = "L"))
+RXtRX <- as(XtWX - crossprod(RZX), "dpoMatrix")
+beta[] <- as.vector(solve(RXtRX, XtWy - crossprod(RZX, cu)))
+u[] <- as.vector(solve(L, solve(L, cu - RZX %*% beta,
+                                system = "Lt"), system = "Pt"))
+@
+Notice the nested calls to \code{solve}.  The inner calls of the first
+two assignments determine and apply the permutation matrix
+(\code{system = "P"}), whereas the outer calls actually solve the
+equation (\code{system = "L"}). In the assignment to \code{u[]}, the
+nesting is reversed in order to return to the original permutation.
+
+\subsubsection{PLS step III: Update linear predictor and residuals}
+\label{sec:plsIII}
+
+The next step is to compute the linear predictor, $\mu_{\mc Y| \mc U}$
+(Equation \ref{eq:meanYgivenU}), and the weighted residuals with new values for
+$\widehat{\betavec}_\theta$ and $\mu_{\mc B | \mc Y = \yobs}$.  In
+\pkg{lme4pureR} these quantities can be computed as,
+<<PLSupdateResp, eval = FALSE>>=
+b[] <- as.vector(crossprod(Lambdat, u))
+mu[] <- as.vector(crossprod(Zt, b) + X %*% beta + offset)
+wtres <- sqrtW * (y - mu)
+@
+where \code{b} represents the current estimate of $\mu_{\mc B | \mc Y
+  = \yobs}$.
+
+\subsubsection{PLS step IV: Compute profiled deviance}
+\label{sec:plsIV}
+
+Finally, the updated linear predictor and weighted residuals can be
+used to compute the profiled deviance (or REML criterion), which in
+\pkg{lme4pureR} proceeds as,
+<<PLScalculateObjective, eval = FALSE>>=
+pwrss <- sum(wtres^2) + sum(u^2)
+logDet <- 2*determinant(L, logarithm = TRUE)$modulus
+if (REML) logDet <- logDet + determinant(RXtRX,
+                                         logarithm = TRUE)$modulus
+attributes(logDet) <- NULL
+profDev <- logDet + degFree * (1 + log(2 * pi * pwrss) - log(degFree))
+@
+The profiled deviance consists of three components: (1)
+log-determinant(s) of Cholesky factorization (\code{logDet}), (2) the
+degrees of freedom (\code{degFree}), and the penalized weighted
+residual sum-of-squares (\code{pwrss}).
+
+\subsection{Sparse matrix methods}
+\label{sec:CSCmats}
+
+In fitting linear mixed models, an instance of the PLS problem
+(\ref{eq:normalEquations}) must be solved at each evaluation of the
+objective function during the optimization
+(Section~\ref{sec:optimizeLmer}) with respect to $\bm\theta$.  Because
+this operation must be performed many times it is worthwhile
+considering how to provide effective evaluation methods for objects
+and calculations involving the sparse matrices associated with
+random-effects terms (Sections~\ref{sec:LMMmatrix}).
+
+The \pkg{CHOLMOD} library of \proglang{C} functions
+\citep{Chen:2008:ACS:1391989.1391995}, on which the sparse matrix
+capabilities of the \pkg{Matrix} package for \proglang{R} and the
+sparse Cholesky factorization in \proglang{Julia} are based, allows
+for separation of the symbolic and numeric phases.  Thus we perform
+the symbolic phase as part of establishing the structure representing
+the model (Section~\ref{sec:lFormula}).  Furthermore, because \pkg{CHOLMOD}
+functions allow for updating $\bm L_{\bm\theta}$ directly from the
+matrix $\bLt\trans\bm Z\trans$ without actually forming $\bLt\trans\bm
+Z\trans\bm Z\bLt+\bm I$ we generate and store $\bm Z\trans$ instead of
+$\bm Z$ (note that we have ignored the weights matrix, $\bm W$, for
+simplicity).  We can update $\bLt\trans\bm Z\trans$ directly from
+$\bm\theta$ without forming $\bLt$ and multiplying two sparse
+matrices.  Although such a direct approach is used in the
+\pkg{MixedModels} package for \proglang{Julia}, in \pkg{lme4} we first
+update $\bLt\trans$ then form the sparse product $\bLt\trans\bm
+Z\trans$.  A third alternative, which we employ in \pkg{lme4pureR}, is
+to compute and save the cross-products of the model matrices, $\bm X$
+and $\bm Z$, and the response, $\bm y$, before starting the
+iterations. To allow for case weights, we save the products $\bm
+X\trans\bm W\bm X$, $\bm X\trans\bm W\bm y$, $\bm Z\trans\bm W\bm X$,
+$\bm Z\trans\bm W\bm y$ and $\bm Z\trans\bm W\bm Z$ (see
+Table~\ref{tab:constantPLS}).
+
+We wish to use structures and algorithms that allow us to take a new
+value of $\bm\theta$ and evaluate the $\bm L_\theta$
+(Equation~\ref{eq:blockCholeskyDecomp}) efficiently.  The key to doing so
+is the special structure of $\bLt\trans\bm Z\trans\bm W^{1/2}$.  To
+understand why this matrix, and not its transpose, is of interest we
+describe the sparse matrix structures used in \proglang{Julia} and in
+the \pkg{Matrix} package for \proglang{R}.
+
+Dense matrices are stored in \proglang{R} and in \proglang{Julia} as a
+one-dimensional array of contiguous storage locations addressed in
+\emph{column-major order}.  This means that elements in the same
+column are in adjacent storage locations whereas elements in the same
+row can be widely separated in memory.  For this reason, algorithms
+that work column-wise are preferred to those that work row-wise.
+
+Although a sparse matrix can be stored in a \emph{triplet} format,
+where the row position, column position and element value of the nonzeros
+are recorded as triplets, the preferred storage forms for actual
+computation with sparse matrices are compressed sparse column (CSC) or
+compressed sparse row \citep[CSR,][Chapter~2]{davis06:csparse_book}. The
+\pkg{CHOLMOD} (and, more generally, the \pkg{SuiteSparse} package of \proglang{C} libraries; \citealt{SuiteSparse})
+uses the CSC storage format.  In this format the nonzero elements in
+a column are in adjacent storage locations and access to all the
+elements in a column is much easier than access to those in a row
+(similar to dense matrices stored in column-major order).
+
+The matrices $\bm Z$ and $\bm Z\bLt$ have the property that the number
+of nonzeros in each row, $\sum_{i=1}^k p_i$, is constant.  For CSC
+matrices we want consistency in the columns rather than the rows,
+which is why we work with $\bm Z\trans$ and $\bLt\trans\bm Z\trans$
+rather than their transposes.
+
+An arbitrary $m\times n$ sparse matrix in CSC format is expressed as
+two vectors of indices, the row indices and the column pointers, and a
+numeric vector of the nonzero values.  The elements of the row
+indices and the nonzeros are aligned and are ordered first by
+increasing column number then by increasing row number within column.
+The column pointers are a vector of size $n+1$ giving the location of
+the start of each column in the vectors of row indices and nonzeros.
+
+%% This para is __extra__ in comparison to JSS (2015):
+Because the number of nonzeros in each column of $\bm Z\trans$, and in
+each column of matrices derived from $\bm Z\trans$ (such as
+$\bLt\trans\bm Z\trans\bm W^{1/2}$) is constant, the vector of
+nonzeros in the CSC format can be viewed as a dense matrix, say $\bm
+N$, of size $\left(\sum_{i=1}^n p_i\right)\times n$.  We do not need
+to store the column pointers because the columns of $\bm Z\trans$
+correspond to columns of $\bm N$.  All we need is $\bm N$, the dense
+matrix of nonzeros, and the row indices, which are derived from the
+grouping factor index vectors $\bm i_i,i=1,\dots,k$ and can also be
+arranged as a dense matrix of size $\left(\sum_{i=1}^n
+  p_i\right)\times n$.  Matrices like $\bm Z\trans$, with the property
+that there are the same number of nonzeros in each column, are
+sometimes called \emph{regular sparse column-oriented} (RSC) matrices.
+
+\section{Nonlinear optimization module}
+\label{sec:optimizeLmer}
+
+The objective function module produces a function which implements the
+penalized least squares algorithm for a particular mixed model. The
+next step is to optimize this function over the covariance parameters,
+$\bm\theta$, which is a nonlinear optimization problem.  The
+\pkg{lme4} package separates the efficient computational linear
+algebra required to compute profiled likelihoods and deviances for a
+given value of $\bm\theta$ from the nonlinear optimization algorithms,
+which use general-purpose nonlinear optimizers.
+
+One benefit of this separation is that it allows for experimentation
+with different nonlinear optimizers.  Throughout the development of
+\pkg{lme4}, the default optimizers and control parameters have changed
+in response to feedback from users about both efficiency and
+convergence properties.  \pkg{lme4} incorporates two built-in
+optimization choices, an implementation of the Nelder-Mead simplex
+algorithm adapted from Steven Johnson's \pkg{NLopt} \proglang{C} library
+\citep{NLopt} and a wrapper for Powell's BOBYQA algorithm, implemented
+in the \pkg{minqa} package \citep{minqa_pkg} as a wrapper around
+Powell's original \proglang{Fortran} code \citep{Powell_bobyqa}.  More generally,
+\pkg{lme4} allows any user-specified optimizer that (1) can work with
+an objective function (i.e., does not require a gradient function to
+be specified), (2) allows box constraints on the parameters, and (3)
+conforms to some simple rules about argument names and structure of
+the output. An internal wrapper allows the use of the \pkg{optimx}
+package \citep{optimx_pkg}, although the only optimizers provided via
+\pkg{optimx} that satisfy the constraints above are the \code{nlminb}
+and \code{L-BFGS-B} algorithms that are themselves wrappers around the
+versions provided in base \proglang{R}.  Several other algorithms from Steven
+Johnson's \pkg{NLopt} package are also available via the \pkg{nloptr}
+wrapper package (e.g., alternate implementations of Nelder-Mead and
+BOBYQA, and Powell's COBYLA algorithm).
+
+This flexibility assists with diagnosing convergence problems -- it
+is easy to switch among several algorithms to determine whether the
+problem lies in a failure of the nonlinear optimization stage, as
+opposed to a case of model misspecification or unidentifiability or a
+problem with the underlying PLS algorithm.  To date we
+have only observed PLS failures, which arise if
+$\bm X\trans\bm W\bm X-\bm R_{ZX}\trans\bm R_{ZX}$ becomes singular
+during an evaluation of the objective function, with badly scaled
+problems (i.e., problems with continuous predictors that take a
+very large or very small numerical range of values).
+
+The requirement for optimizers that can handle box constraints stems
+from our decision to parameterize the variance-covariance matrix in a
+constrained space, in order to allow for singular fits. In contrast to
+the approach taken in the \pkg{nlme} package \citep{nlme_pkg}, which goes to some
+lengths to use an unconstrained variance-covariance parameterization
+(the \emph{log-Cholesky} parameterization;
+\citealt{pinheiro_unconstrained_1996}), we instead use the Cholesky
+parameterization but require the elements of $\bm\theta$ corresponding
+to the diagonal elements of the Cholesky factor to be non-negative.
+With these constraints, the variance-covariance matrix is singular if
+and only if any of the diagonal elements is exactly zero.
+Singular fits are common in practical data-analysis situations,
+especially with small- to medium-sized data sets and complex
+variance-covariance models, so being able to fit a singular model is
+an advantage: when the best fitting model lies on the boundary of a
+constrained space, approaches that try to remove the constraints by
+fitting parameters on a transformed scale will often give rise to
+convergence warnings as the algorithm tries to find a maximum on an
+asymptotically flat surface \citep{bolker_strategies_2013}.
+
+In principle the likelihood surfaces we are trying to optimize over
+are smooth, but in practice using gradient information in optimization
+may or may not be worth the effort. In special cases, we have a
+closed-form solution for the gradients
+(Equations~\ref{eq:grad}--\ref{eq:gradr2}), but in general we will have to
+approximate them by finite differences, which is expensive and has
+limited accuracy.  (We have considered using automatic
+differentiation approaches to compute the gradients more efficiently,
+but this strategy requires a great deal of additional machinery, and
+would have drawbacks in terms of memory requirements for large
+problems.)  This is the primary reason for our switching to
+derivative-free optimizers such as BOBYQA and Nelder-Mead in the
+current version of \pkg{lme4}, although as discussed above
+derivative-based optimizers based on finite differencing are available
+as an alternative.
+
+There is most likely further room for improvement in the nonlinear
+optimization module; for example, some speed-up could be gained by
+using parallel implementations of derivative-free optimizers that
+evaluated several trial points at once \citep{klein_nelder_2013}.  In
+practice users most often have optimization difficulties with poorly
+scaled or centered data -- we are working to implement appropriate
+diagnostic tests and warnings to detect these situations.
+
+\section{Output module}
+\label{sec:mkMerMod}
+
+Here we describe some of the methods in \pkg{lme4} for exploring
+fitted linear mixed models (Table~\ref{tab:methods}), which are
+represented as objects of the \proglang{S}4 class `\code{lmerMod}'.  We
+begin by describing the theory underlying these methods
+(Section~\ref{sec:outputTheory}) and then continue the
+\code{sleepstudy} example introduced in Section~\ref{sec:sleepstudy}
+to illustrate these ideas in practice.
+
+\subsection{Theory underlying the output module}
+\label{sec:outputTheory}
+
+\subsubsection{Covariance matrix of the fixed-effect coefficients}
+\label{sec:vcov}
+
+In the \code{lm} function, the variance-covariance matrix of the
+coefficients is the inverse of the cross-product of the model matrix, times
+the residual variance \citep{Chambers:1993}.  The inverse cross-product
+matrix is computed by first inverting the upper triangular matrix
+resulting from the QR decomposition of the model matrix, and then
+taking its cross-product,
+\begin{equation}
+  \label{eq:varUBeta}
+  \Var_{\bm\theta, \sigma}\left(
+    \begin{bmatrix}
+      \bm\mu_{\mc U|\mc Y=\yobs} \\ \hat\betavec
+    \end{bmatrix}
+  \right) =
+  \sigma^2
+  \begin{bmatrix}
+    \bm L\trans_{\bm\theta} & \bm R_{ZX}\\
+    \bm 0            & \bm R_X
+  \end{bmatrix}^{-1}
+  \begin{bmatrix}
+    \bm L_{\bm\theta}& \bm 0\\
+    \bm R_{ZX}\trans & \bm R_X\trans
+  \end{bmatrix}^{-1}.
+\end{equation} % |
+Because of normality, the marginal covariance matrix of $\hat\betavec$ is
+just the lower-right $p$-by-$p$ block of
+$\Var_{\bm\theta, \sigma}\left(
+    \begin{bmatrix}
+      \bm\mu_{\mc U|\mc Y=\yobs} \\ \hat\betavec
+    \end{bmatrix}
+  \right)$.
+This lower-right block is
+\begin{equation}
+  \label{eq:varBeta}
+  \Var_{\bm\theta, \sigma}(\hat\betavec) = \sigma^2 \bm R_X^{-1} (\bm R_X\trans)^{-1},
+\end{equation}
+which follows from the Schur complement identity \citep[Theorem 1.2]{zhang2006schur}.  This
+matrix can be extracted from a fitted \code{merMod} object as,
+<<vcovByHand>>=
+RX <- getME(fm1, "RX")
+sigma2 <- sigma(fm1)^2
+sigma2 * chol2inv(RX)
+@
+which could be computed with \pkg{lme4} as \code{vcov(fm1)}.
+
+The square-root diagonal of this covariance matrix contains the
+estimates of the standard errors of fixed-effects coefficients.  These
+standard errors are used to construct Wald confidence intervals with
+\code{confint(., method = "Wald")}.  Such confidence intervals are
+approximate, and depend on the assumption that the likelihood profile
+of the fixed effects is linear on the $\zeta$ scale
+(Section~\ref{sec:profile}).
+
+\subsubsection{Profiling}
+\label{sec:profile}
+
+\newcommand{\devprof}{-2 {\mc L}_p}
+
+The theory of likelihood profiles is straightforward: the deviance (or
+likelihood) profile, $\devprof()$, for a focal model parameter $P$ is
+the minimum value of the deviance conditioned on a particular value of
+$P$.  For each parameter of interest, our goal is to evaluate the
+deviance profile for many points -- optimizing over all of the
+non-focal parameters each time -- over a wide enough range and with
+high enough resolution to evaluate the shape of the profile (in
+particular, whether it is quadratic, which would allow use of Wald
+confidence intervals and tests) and to find the values of $P$ such
+that $\devprof(P)=-2 {\mc L}(\widehat{P}) + \chi^2(1-\alpha)$, which
+represent the profile confidence intervals.  While profile confidence
+intervals rely on the asymptotic distribution of the minimum deviance,
+this is a much weaker assumption than the log-quadratic likelihood
+surface required by Wald tests.
+
+An additional challenge in profiling arises when we want to compute
+profiles for quantities of interest that are not parameters of our PLS
+function. We have two problems in using the deviance function defined
+above to profile linear mixed models. First, a parameterization of the
+random-effects variance-covariance matrix in terms of standard
+deviations and correlations, or variances and covariances, is much
+more familiar to users, and much more relevant as output of a
+statistical model, than the parameters, $\bm\theta$, of the relative
+covariance factor -- users are interested in inferences on variances
+or standard deviations, not on $\bm\theta$. Second, the fixed-effect
+coefficients and the residual standard deviation, both of which are
+also of interest to users, are profiled out (in the sense used above)
+of the deviance function (Section~\ref{sec:profdev}), so we have to
+find a strategy for estimating the deviance for values of $\bm\beta$
+and $\sigma^2$ other than the profiled values.
+
+To handle the first problem we create a new version of the deviance
+function that first takes a vector of standard deviations (and
+correlations), and a value of the residual standard deviation,
+maps them to a $\bm\theta$ vector, and then computes the PLS as
+before; it uses the specified residual standard deviation rather than
+the PLS estimate of the standard deviation
+(Equation~\ref{eq:residualVarianceEstimate}) in the deviance calculation.
+We compute a profile likelihood for the fixed-effect parameters, which
+are profiled out of the deviance calculation, by adding an offset to
+the linear predictor for the focal element of $\bm\beta$.  The
+resulting function is not useful for general nonlinear optimization
+-- one can easily wander into parameter regimes corresponding to
+infeasible (non-positive semidefinite) variance-covariance matrices --
+but it serves for likelihood profiling, where one focal parameter is
+varied at a time and the optimization over the other parameters is
+likely to start close to an optimum.
+
+In practice, the \code{profile} method systematically varies the
+parameters in a model, assessing the best possible fit that can be
+obtained with one parameter fixed at a specific value and comparing
+this fit to the globally optimal fit, which is the original model fit
+that allowed all the parameters to vary.  The models are compared
+according to the change in the deviance, which is the likelihood ratio
+test statistic.  We apply a signed square root transformation to this
+statistic and plot the resulting function, which we call the
+\emph{profile zeta function} or $\zeta$, versus the parameter
+value. The signed aspect of this transformation means that $\zeta$ is
+positive where the deviation from the parameter estimate is positive
+and negative otherwise, leading to a monotonically increasing function
+which is zero at the global optimum. A $\zeta$ value can be compared
+to the quantiles of the standard normal distribution.  For example, a
+95\% profile deviance confidence interval on the parameter consists of
+the values for which $-1.96 < \zeta < 1.96$.  Because the process of
+profiling a fitted model can be computationally intensive -- it
+involves refitting the model many times -- one should exercise
+caution with complex models fit to large data sets.
+
+The standard approach to this computational challenge is to compute
+$\zeta$ at a limited number of parameter values, and to fill in the
+gaps by fitting an interpolation spline.  Often one is able to invert
+the spline to obtain a function from $\zeta$ to the focal parameter,
+which is necessary in order to construct profile confidence intervals.
+However, even if the points themselves are monotonic, it is possible
+to obtain non-monotonic interpolation curves.  In such a case,
+\pkg{lme4} falls back to linear interpolation, with a warning.
+
+\newcommand{\alphamax}{\alpha_{\textrm{\small max}}}
+\newcommand{\pstep}{\epsilon}
+
+The last part of the technical specification for computing profiles is
+deciding on a strategy for choosing points to sample.  In one way or
+another one wants to start at the estimated value for each parameter
+and work outward either until a constraint is reached (i.e., a value of
+0 for a standard deviation parameter or a value of $\pm 1$ for a
+correlation parameter), or until a sufficiently large deviation from
+the minimum deviance is attained.  \pkg{lme4}'s profiler chooses a
+cutoff $\phi$ based on the $1-\alphamax$ critical value of the
+$\chi^2$ distribution with a number of degrees of freedom equal to the
+\emph{total} number of parameters in the model, where $\alphamax$ is
+set to 0.05 by default. The profile computation initially adjusts the
+focal parameter $p_i$ by an amount $\pstep=1.01 \hat p_i$ from its ML
+or REML estimate $\hat p_i$ (or by $\pstep=0.001$ if $\hat p_i$ is
+zero, as in the case of a singular variance-covariance model).  The
+local slope of the likelihood profile $(\zeta(\hat
+p_i+\pstep)-\zeta(\hat p_i))/\pstep$ is used to pick the next point to
+evaluate, extrapolating the local slope to find a new $\pstep$ that
+would be expected to correspond to the desired step size $\Delta
+\zeta$ (equal to $\phi/8$ by default, so that 16 points would be used
+to cover the profile in both directions if the log-likelihood surface
+were exactly quadratic).  Some fail-safe testing is done to ensure
+that the step chosen is always positive, and less than a maximum; if a
+deviance is ever detected that is lower than that of the ML deviance,
+which can occur if the initial fit was wrong due to numerical
+problems, the profiler issues an error and stops.
+%% while scaling based on the approximate variance-covariance matrix
+%% might be more accurate in some cases, it may also lead to problems
+%% when the log-likelihood surface is far from quadratic
+
+\subsubsection{Parametric bootstrapping}
+\label{sec:pb}
+
+To avoid the asymptotic assumptions of the likelihood ratio test, at
+the cost of greatly increased computation time, one can estimate
+confidence intervals by parametric bootstrapping -- that is, by
+simulating data from the fitted model, refitting the model, and
+extracting the new estimated parameters (or any other quantities of
+interest).  This task is quite straightforward, since there is already
+a \code{simulate} method, and a \code{refit} function which
+re-estimates the (RE)ML parameters for new data, starting from the
+previous (RE)ML estimates and re-using the previously computed model
+structures (including the fill-reducing permutation) for efficiency.
+The \code{bootMer} function is thus a fairly thin wrapper around a
+\code{simulate}/\code{refit} loop, with a small amount of additional
+logic for parallel computation and error-catching.  (Some of the ideas
+of \code{bootMer} are adapted from \code{merBoot} \citep{merBoot}, a
+more ambitious framework for bootstrapping \pkg{lme4} model fits which
+unfortunately seems to be unavailable at present.)
+
+
+\subsubsection{Conditional variances of random effects}
+\label{sec:condVar}
+
+It is useful to clarify that the conditional covariance concept in
+\pkg{lme4} is based on a simplification of the linear mixed model.  In
+particular, we simplify the model by assuming that the quantities,
+$\betavec$, $\bLt$, and $\sigma$, are known (i.e., set at their
+estimated values). In fact, the only way to define the conditional
+covariance is at fixed parameter values.  Our approximation here is
+using the estimated parameter values for the unknown ``true''
+parameter values.  In this simplified case, $\mc U$ is the only
+quantity in the statistical model that is both random and unknown.
+
+Given this simplified linear mixed model, a standard result in
+Bayesian linear regression modeling \citep{gelman2013bayesian}
+implies that the conditional distribution of the spherical random
+effects given the observed response vector is Gaussian,
+\begin{equation}
+  \label{eq:condGaussian}
+(\mc U | \mc Y = \yobs) \sim \mathcal{N}(\mu_{\mc U | \mc Y = \yobs},
+\widehat{\sigma}^2 \bm V),
+\end{equation}
+where
+\begin{equation}
+  \label{eq:condVar}
+  \bm V = \left(\bm\Lambda_{\widehat{\bm\theta}}\trans\bm Z\trans \bm W
+    \bm Z\bm\Lambda_{\widehat{\bm\theta}} + \bm I_q \right)^{-1} =
+  \left(\bm L_{\widehat{\bm\theta}}^{-1}\right)\trans
+  \left(\bm L_{\widehat{\bm\theta}}^{-1}\right)
+\end{equation}
+is the unscaled conditional variance and
+\begin{equation}
+  \label{eq:condMean}
+  \mu_{\mc U | \mc Y = \yobs} = \bm V \bm\Lambda_{\widehat{\bm\theta}}\trans\bm Z\trans\bm W
+    \left(\yobs-\bm o - X\widehat{\betavec} \right)
+\end{equation}  % |
+is the conditional mean/mode. Note that in practice the inverse in
+Equation~\ref{eq:condVar} does not get computed directly, but rather an
+efficient method is used that exploits the sparse structures.
+
+The random-effects coefficient vector, $\mathbf{b}$, is often of
+greater interest. The conditional covariance matrix of $\mc B$
+may be expressed as
+\begin{equation}
+  \label{eq:condVarB}
+\widehat{\sigma}^2 \bm\Lambda_{\widehat{\bm\theta}} \bm V \bm\Lambda_{\widehat{\bm\theta}}\trans.
+\end{equation}
+
+<<condVarExample, echo=FALSE, eval=FALSE>>=
+s2 <- sigma(fm1)^2
+Lambdat <- getME(fm1, "Lambdat")
+Lambda <- getME(fm1, "Lambda")
+Zt <- getME(fm1, "Zt")
+Z <- getME(fm1, "Z")
+y <- getME(fm1, "y")
+X <- getME(fm1, "X")
+beta <- getME(fm1, "beta")
+L <- getME(fm1, "L")
+(V <- crossprod(solve(L, system = "L")))[1:2, 1:2]
+(s2 * Lambda %*% V %*% Lambdat)[1:2, 1:2]
+attr(ranef(fm1, condVar = TRUE)$Subject, "postVar")[ , , 1] # should be same as Lam %*% V %*% Lamt
+(U <- as.vector((V %*% Lambdat %*% Zt %*%  (y - X %*% beta))))
+getME(fm1, "u")
+@
+
+\subsubsection{The hat matrix}
+\label{sec:hat}
+
+The hat matrix, $\bm H$, is a useful object in linear model
+diagnostics \citep{cook1982residuals}.  In general, $\bm H$ relates
+the observed and fitted response vectors, but we specifically define
+it as,
+\begin{equation}
+  \left(\bm\mu_{\mc Y|\mc U=\bm u} - \bm o\right) =
+  \bm H \left(\yobs - \bm o\right).
+\end{equation}
+To find $\bm H$ we note that
+\begin{equation}
+  \left(\bm\mu_{\mc Y|\mc U=\bm u} - \bm o\right) =
+  \begin{bmatrix}
+    \bm Z\bm\Lambda & \bm X \\
+  \end{bmatrix}
+  \begin{bmatrix}
+    \mu_{\mc U | \mc Y = \yobs} \\ \widehat{\betavec}_{\bm\theta}
+  \end{bmatrix}.
+\end{equation}
+Next we get an expression for $\begin{bmatrix}
+    \mu_{\mc U | \mc Y = \yobs} \\ \widehat{\betavec}_{\bm\theta}
+  \end{bmatrix}$ by solving the normal equations
+  (Equation~\ref{eq:normalEquations}),
+\begin{equation}
+ \begin{bmatrix}
+    \mu_{\mc U | \mc Y = \yobs} \\ \widehat{\betavec}_{\bm\theta}
+  \end{bmatrix} =
+  \begin{bmatrix}
+    \bm L\trans_{\bm\theta} & \bm R_{ZX} \\
+    \bm 0 & \bm R_{X}
+  \end{bmatrix}^{-1}
+    \begin{bmatrix}
+    \bm L_{\bm\theta} & \bm 0 \\
+    \bm R\trans_{ZX} & \bm R\trans_{X} \\
+  \end{bmatrix}^{-1}
+    \begin{bmatrix}
+    \bLt\trans \bm Z\trans \\
+    \bm X\trans \\
+  \end{bmatrix} \bm W (\yobs - \bm o).
+\end{equation} % |
+By the Schur complement identity \citep{zhang2006schur},
+\begin{equation}
+  \begin{bmatrix}
+    \bm L\trans_{\bm\theta} & \bm R_{ZX} \\
+    \bm 0 & \bm R_{X}
+  \end{bmatrix}^{-1} =
+  \begin{bmatrix}
+    \left(\bm L\trans_{\bm\theta}\right)^{-1} &
+    - \left(\bm L\trans_{\bm\theta}\right)^{-1} \bm R_{ZX} \bm R_{X}^{-1}\\
+    \bm 0 & \bm R_{X}^{-1}
+  \end{bmatrix}.
+\end{equation}
+Therefore, we may write the hat matrix as
+\begin{equation}
+  \label{eq:hatComputational}
+  \bm H = (\bm C_L\trans \bm C_L + \bm C_R\trans \bm C_R),
+\end{equation}
+where,
+\begin{equation}
+  \label{eq:CL}
+  \bm L_{\bm\theta} \bm C_L = \bLt\trans \bm Z\trans\bm W^{1/2}
+\end{equation}
+and,
+\begin{equation}
+  \label{eq:CR}
+  \bm R\trans_{X} \bm C_R = \bm X\trans\bm W^{1/2} - \bm R\trans_{ZX}\bm C_L.
+\end{equation}
+
+The trace of the hat matrix is often used as a measure of the
+effective degrees of freedom \citep[e.g., ][]{vaida2005conditional}.
+Using a relationship between the trace and vec operators, the trace of
+$\bm H$ may be expressed as,
+\begin{equation}
+  \label{eq:traceHat}
+  \tr(\bm H) = \left\| \VEC(\bm C_L) \right\|^2
+  + \left\| \VEC(\bm C_R) \right\|^2.
+\end{equation}
+
+\subsection{Using the output module}
+\label{sec:outputPractice}
+
+\begin{table}
+  \begin{tabular}{ll}
+    \hline
+    Generic (Section) & Brief description of return value \\
+    \hline
+    \code{anova} (\ref{sec:modComp}) &
+    Decomposition of fixed-effects contributions \\
+    & or model comparison. \\
+    \code{as.function} &
+    Function returning profiled deviance or REML criterion. \\
+    \code{coef} &
+    Sum of the random and fixed effects for each level. \\
+    \code{confint} (\ref{sec:CI}) &
+    Confidence intervals on linear mixed-model parameters. \\
+    \code{deviance} (\ref{sec:summary}) &
+    Minus twice maximum log-likelihood. \\
+    & (Use \code{REMLcrit} for the REML criterion.) \\
+    \code{df.residual} &
+    Residual degrees of freedom. \\
+    \code{drop1} &
+    Drop allowable single terms from the model. \\
+    \code{extractAIC} &
+    Generalized Akaike information criterion \\
+    \code{fitted} &
+    Fitted values given conditional modes (Equation~\ref{eq:meanYgivenU}). \\
+    \code{fixef} (\ref{sec:summary}) &
+    Estimates of the fixed-effects coefficients, $\widehat{\bm\beta}$ \\
+    \code{formula} (\ref{sec:uncor}) &
+    Mixed-model formula of fitted model. \\
+    \code{logLik} & % logLik
+    Maximum log-likelihood. \\
+    \code{model.frame} & % model.frame
+    Data required to fit the model. \\
+    \code{model.matrix} &
+    Fixed-effects model matrix, $\bm X$.\\
+    \code{ngrps} (\ref{sec:summary}) &
+    Number of levels in each grouping factor. \\
+    \code{nobs} (\ref{sec:summary}) &
+    Number of observations.\\
+    \code{plot} &
+    Diagnostic plots for mixed-model fits. \\
+    \code{predict} (\ref{sec:predict}) &
+    Various types of predicted values. \\
+    \code{print} &
+    Basic printout of mixed-model objects. \\
+    \code{profile} (\ref{sec:profile}) &
+    Profiled likelihood over various model parameters. \\
+    \code{ranef} (\ref{sec:summary}) &
+    Conditional modes of the random effects. \\
+    \code{refit} (\ref{sec:pb}) &
+    A model (re)fitted to a new set of observations of the response variable. \\
+    \code{refitML} (\ref{sec:modComp}) &
+    A model (re)fitted by maximum likelihood.  \\
+    \code{residuals}  (\ref{sec:summary}) &
+    Various types of residual values. \\
+    \code{sigma} (\ref{sec:summary}) &
+    Residual standard deviation. \\
+    \code{simulate} (\ref{sec:predict}) &
+    Simulated data from a fitted mixed model. \\
+    \code{summary} (\ref{sec:summary}) &
+    Summary of a mixed model. \\
+    \code{terms} &
+    Terms representation of a mixed model. \\
+    \code{update} (\ref{sec:update}) &
+    An updated model using a revised formula or other arguments. \\
+    \code{VarCorr} (\ref{sec:summary})  &
+    Estimated random-effects variances, standard deviations, and correlations. \\
+    \code{vcov} (\ref{sec:summary}) &
+    Covariance matrix of the fixed-effect estimates. \\
+    \code{weights} &
+    Prior weights used in model fitting. \\
+    \hline
+  \end{tabular}
+  \caption{List of currently available methods for objects of the class `\code{merMod}'.}
+  \label{tab:methods}
+\end{table}
+
+The user interface for the output module largely consists of a set of
+methods (Table~\ref{tab:methods}) for objects of class \code{merMod},
+which is the class of objects returned by \code{lmer}.  In addition to
+these methods, the \code{getME} function can be used to extract
+various objects from a fitted mixed model in \pkg{lme4}.  Here we
+illustrate the use of several of these methods.
+
+\subsubsection{Updating fitted mixed models}
+\label{sec:update}
+
+To illustrate the \code{update} method for `\code{merMod}' objects we
+construct a random intercept only model. This task could be done in
+several ways, but we choose to first remove the random-effects term
+\code{(Days | Subject)} and add a new term with a random intercept,
+<<updateModel>>=
+fm3 <- update(fm1, . ~ . - (Days | Subject) + (1 | Subject))
+formula(fm3)
+@ % |
+
+\subsubsection{Model summary and associated accessors}
+\label{sec:summary}
+
+The \code{summary} method for `\code{merMod}' objects provides
+information about the model fit.  Here we consider the output of
+\code{summary(fm1)} in four steps.  The first few lines of output
+indicate that the model was fitted by REML as well as the value of the
+REML criterion (Equation~\ref{eq:REMLdeviance}) at convergence (which
+may also be extracted using \code{REMLcrit(fm1)}).  The beginning of
+the summary also reproduces the model formula and the scaled Pearson
+residuals,
+<<summary1,echo=FALSE>>=
+ss <- summary(fm1)
+cc <- capture.output(print(ss))
+reRow <- grep("^Random effects", cc)
+cat(cc[1:(reRow - 2)], sep = "\n")
+@
+This information may also be obtained using standard accessor
+functions,
+<<summary1reproduced, eval=FALSE>>=
+formula(fm1)
+REMLcrit(fm1)
+quantile(residuals(fm1, "pearson", scaled = TRUE))
+@
+The second piece of the \code{summary} output provides information
+regarding the random-effects and residual variation,
+<<summary2, echo=FALSE>>=
+feRow <- grep("^Fixed effects", cc)
+cat(cc[reRow:(feRow - 2)], sep = "\n")
+@
+which can also be accessed using,
+<<summary2reproduced, eval=FALSE>>=
+print(vc <- VarCorr(fm1), comp = c("Variance", "Std.Dev."))
+nobs(fm1)
+ngrps(fm1)
+sigma(fm1)
+@
+The print method for objects returned by \code{VarCorr} hides the internal structure of these
+`\code{VarCorr.merMod}' objects. The internal structure of an object of
+this class is a list of matrices, one for each random-effects term.
+The standard deviations and correlation matrices for each term are
+stored as attributes, \code{stddev} and \code{correlation},
+respectively, of the variance-covariance matrix, and the residual
+standard deviation is stored as attribute \code{sc}.  For programming
+use, these objects can be summarized differently using their
+\code{as.data.frame} method,
+<<VarCorr>>=
+as.data.frame(VarCorr(fm1))
+@
+which contains one row for each variance or covariance parameter. The
+\code{grp} column gives the grouping factor associated with this
+parameter. The \code{var1} and \code{var2} columns give the names of
+the variables associated with the parameter (\code{var2} is \code{<NA>}
+unless it is a covariance parameter). The \code{vcov} column gives the
+variances and covariances, and the \code{sdcor} column gives these
+numbers on the standard deviation and correlation scales.
+
+The next chunk of output gives the fixed-effect estimates,
+<<summary3, echo=FALSE>>=
+corRow <- grep("^Correlation", cc)
+cat(cc[feRow:(corRow - 2)], sep = "\n")
+@
+Note that there are no $p$~values (see Section~\ref{sec:pvalues}).
+The fixed-effect point estimates may be obtained separately via
+\code{fixef(fm1)}.
+Conditional modes of the random-effects coefficients can be obtained
+with \code{ranef} (see Section~\ref{sec:condVar} for information on
+the theory).  Finally, we have the correlations between the fixed-effect estimates
+<<summary4, echo=FALSE>>=
+cat(cc[corRow:length(cc)], sep = "\n")
+@
+The full variance-covariance matrix of the fixed-effects estimates can
+be obtained in the usual \proglang{R} way with the \code{vcov} method
+(Section~\ref{sec:vcov}).  Alternatively, \code{coef(summary(fm1))} will
+return the full fixed-effects parameter table as shown in the summary.
+
+\subsubsection{Diagnostic plots}
+\label{sec:diagnostics}
+
+\pkg{lme4} provides tools for generating most of the standard
+graphical diagnostic plots (with the exception of those incorporating
+influence measures, e.g., Cook's distance and leverage plots), in a
+way modeled on the diagnostic graphics of \pkg{nlme}
+\citep{R:Pinheiro+Bates:2000}.  In particular, the familiar
+\code{plot} method in base \proglang{R} for linear models (objects of
+class `\code{lm}') can be used to create the standard fitted
+vs. residual plots,
+<<diagplot1,fig.keep="none">>=
+plot(fm1, type = c("p", "smooth"))
+@
+scale-location plots,
+<<diagplot2,fig.keep="none">>=
+plot(fm1, sqrt(abs(resid(.))) ~ fitted(.),
+     type = c("p", "smooth"))
+@
+and quantile-quantile plots (from \pkg{lattice}),
+<<diagplot3,fig.keep="none">>=
+qqmath(fm1, id = 0.05)
+@
+In contrast to \code{plot.lm}, these scale-location and Q-Q plots
+are based on raw rather than standardized residuals.
+
+In addition to these standard diagnostic plots, which
+examine the validity of various assumptions (linearity,
+homoscedasticity, normality) at the level of the residuals,
+one can also use the \code{dotplot} and \code{qqmath} methods
+for the conditional modes (i.e., `\code{ranef.mer}'
+objects generated by \code{ranef(fit)})
+to check for interesting patterns and normality in the conditional
+modes.  \pkg{lme4} does not provide influence diagnostics, but
+these (and other useful diagnostic procedures) are available
+in the dependent packages \pkg{HLMdiag} and \pkg{influence.ME}
+\citep{HLMdiag_pkg,influenceME_pkg}.
+
+Finally, \emph{posterior predictive simulation}
+\citep{gelman_data_2006} is a generally useful diagnostic tool,
+adapted from Bayesian methods, for exploring model fit. Users pick
+some summary statistic of interest.  They then compute the summary
+statistic for an ensemble of simulations (Section~\ref{sec:predict}),
+and see where the observed data falls within the simulated
+distribution; if the observed data is extreme, we might conclude that
+the model is a poor representation of reality.  For example, using the
+sleep study fit and choosing the interquartile range
+of the reaction times as the summary
+statistic:
+<<ppsim,results="hide">>=
+iqrvec <- sapply(simulate(fm1, 1000), IQR)
+obsval <- IQR(sleepstudy$Reaction)
+post.pred.p <- mean(obsval >= c(obsval, iqrvec))
+@
+The (one-tailed) posterior predictive $p$~value of \Sexpr{round(post.pred.p,2)}
+indicates that the model represents the data adequately, at least for
+this summary statistic.  In contrast to the full Bayesian case, the
+procedure described here does not allow for the uncertainty in the
+estimated parameters. However, it should be a reasonable approximation
+when the residual variation is large.
+%% \bmb{it should be possible to put together something with
+%% \code{arm::sim} to simulate beta values and \code{simulate} with
+%% \code{newparams}, but (a) this would require some testing and
+%% development (I don't think \code{newparams} can take a matrix) and
+%% (b) it doesn't account for uncertainty in theta)}
+
+\subsubsection{Sequential decomposition and model comparison}
+\label{sec:modComp}
+
+Objects of class `\code{merMod}' have an \code{anova} method which
+returns $F$~statistics corresponding to the sequential decomposition
+of the contributions of fixed-effects terms.  In order to illustrate
+this sequential ANOVA decomposition, we fit a model with orthogonal
+linear and quadratic \code{Days} terms,
+<<anovaQuadraticModel>>=
+fm4 <- lmer(Reaction ~ polyDays[ , 1] + polyDays[ , 2] +
+            (polyDays[ , 1] + polyDays[ , 2] | Subject),
+            within(sleepstudy, polyDays <- poly(Days, 2)))
+anova(fm4)
+@
+<<anovaSanityCheck, include=FALSE>>=
+(getME(fm4, "RX")[2, ] %*% getME(fm4, "fixef"))^2
+@
+The relative magnitudes of the two sums of squares indicate that the
+quadratic term explains much less variation than the linear term.
+Furthermore, the magnitudes of the two $F$~statistics strongly
+suggest significance of the linear term, but not the quadratic term.
+Notice that this is only an informal assessment of significance as
+there are no $p$~values associated with these $F$~statistics, an issue
+discussed in more detail in the next subsection (``Computing $p$-values'',
+p.~\pageref{sec:pvalues}).
+
+To understand how these quantities are computed, let $\bm R_i$ contain
+the rows of $\bm R_X$ (Equation~\ref{eq:blockCholeskyDecomp}) associated
+with the $i$th fixed-effects term.  Then the sum of squares for term
+$i$ is,
+\begin{equation}
+  \label{eq:SS}
+  \mathit{SS}_i = \widehat{\bm\beta}\trans\bm R_i\trans \bm R_i \widehat{\bm\beta}
+\end{equation}
+If $\mathit{DF}_i$ is the number of columns in $\bm R_i$, then the
+$F$~statistic for term $i$ is,
+\begin{equation}
+  \label{eq:Fstat}
+  F_i = \frac{\mathit{SS}_i}{\widehat{\sigma}^2 \mathit{DF}_i}
+\end{equation}
+
+For multiple arguments, the \code{anova} method returns model
+comparison statistics.
+<<anovaManyModels>>=
+anova(fm1, fm2, fm3)
+@
+<<anovaRes,echo=FALSE>>=
+fm3ML <- refitML(fm3)
+fm2ML <- refitML(fm2)
+fm1ML <- refitML(fm1)
+ddiff <- deviance(fm3ML) - deviance(fm2ML)
+dp <- pchisq(ddiff, 1, lower.tail = FALSE)
+ddiff2 <- deviance(fm2ML) - deviance(fm1ML)
+@
+The output shows $\chi^2$ statistics representing the difference in
+deviance between successive models, as well as $p$~values based on
+likelihood ratio test comparisons.  In this case, the sequential
+comparison shows that adding a linear effect of time uncorrelated with
+the intercept leads to an enormous and significant drop in deviance
+($\Delta\mbox{deviance} \approx \Sexpr{round(ddiff)}$, $p \approx
+\Sexpr{round(dp,10)}$), while the further addition of correlation
+between the slope and intercept leads to a trivial and non-significant
+change in deviance ($\Delta\mbox{deviance} \approx
+\Sexpr{round(ddiff2,2)}$).  For objects of class `\code{lmerMod}' the
+default behavior is to refit the models with ML if fitted with
+\code{REML = TRUE}, which is necessary in order to get sensible
+answers when comparing models that differ in their fixed effects; this
+can be controlled via the \code{refit} argument.
+
+\subsubsection[Computing p values]{Computing $p$~values}
+\label{sec:pvalues}
+
+One of the more controversial design decisions of \pkg{lme4} has been
+to omit the output of $p$~values associated with sequential ANOVA
+decompositions of fixed effects.  The absence of analytical results for null
+distributions of parameter estimates in complex situations
+(e.g., unbalanced or partially crossed designs) is a long-standing
+problem in mixed-model inference.  While the null distributions (and
+the sampling distributions of non-null estimates) are asymptotically
+normal, these distributions are not $t$~distributed for finite size
+samples -- nor are the corresponding null distributions of
+differences in scaled deviances $F$~distributed.  Thus approximate methods
+for computing the approximate degrees of freedom for
+$t$~distributions, or the denominator degrees of freedom for
+$F$~statistics \citep{Satterthwaite_1946,kenward_small_1997}, are at
+best \emph{ad hoc} solutions.
+
+However, computing finite-size-corrected $p$~values is
+sometimes necessary.  Therefore, although the package does not provide
+them (except via parametric bootstrapping,
+Section~\ref{sec:pb}), we have provided a help page to guide users in
+finding appropriate methods:
+<<pvaluesHelp, eval=FALSE>>=
+help("pvalues")
+@
+This help page provides pointers to other packages that provide
+machinery for calculating $p$~values associated with `\code{merMod}'
+objects. It also suggests framing the inference problem as a
+likelihood ratio test (achieved by supplying multiple `\code{merMod}'
+objects to the \code{anova} method (Section~\ref{sec:modComp}), as
+well as alternatives to $p$~values such as confidence intervals
+(Section~\ref{sec:CI}).
+
+Previous versions of \pkg{lme4} provided the \code{mcmcsamp} function,
+which generated a Markov chain Monte Carlo sample from the posterior
+distribution of the parameters (assuming flat priors). Due to
+difficulty in constructing a version of \code{mcmcsamp} that was
+reliable even in cases where the estimated random-effect variances
+were near zero, \code{mcmcsamp} has been withdrawn.
+
+\subsubsection{Computing confidence intervals}
+\label{sec:CI}
+
+As described above (Section~\ref{sec:vcov}), \pkg{lme4} provides confidence intervals (using
+\code{confint}) via Wald approximations (for fixed-effect parameters
+only), likelihood profiling, or parametric bootstrapping (the
+\code{boot.type} argument selects the bootstrap confidence interval type).
+<<compareCI,echo=FALSE,cache=TRUE,message=FALSE,warning=FALSE>>=
+ccw <- confint(fm1, method = "Wald")
+ccp <- confint(fm1, method = "profile", oldNames = FALSE)
+ccb <- confint(fm1, method = "boot")
+@
+<<CIqcomp,echo=FALSE,eval=TRUE>>=
+rtol <- function(x,y) {
+    abs((x - y) / ((x + y) / 2))
+}
+bw <- apply(ccb, 1, diff)
+pw <- apply(ccp, 1, diff)
+mdiffpct <- round(100 * max(rtol(bw, pw)))
+@
+<<CIplot,echo=FALSE,eval=FALSE>>=
+## obsolete
+## ,fig.cap="Comparison of confidence intervals",fig.scap="CI comparison"
+tf <- function(x, method) data.frame(method = method,
+               par = rownames(x),
+               setNames(as.data.frame(x), c("lwr", "upr")))
+cc.all <- do.call(rbind, mapply(tf, list(ccw, ccp, ccb),
+                               c("Wald", "profile", "boot"),
+                     SIMPLIFY = FALSE))
+ggplot(cc.all, aes(x = 1, ymin = lwr, ymax = upr, colour = method)) +
+    geom_linerange(position = position_dodge(width = 0.5)) +
+    facet_wrap( ~ par, scale = "free") +
+    theme(axis.text.x = element_blank()) +
+    labs(x = "")
+@ %
+As is typical for computationally intensive profile confidence
+intervals in \proglang{R}, the intervals can be computed either directly from
+fitted `\code{merMod}' objects (in which case profiling is done as an
+interim step), or from a previously computed likelihood profile (of
+class `\code{thpr}', for ``theta profile'').  Parametric bootstrapping
+confidence intervals use a thin wrapper around the \code{bootMer}
+function that passes the results to \code{boot.ci} from the \pkg{boot}
+package \citep{boot_pkg,DavisonHinkley1997} for confidence interval calculation.
+
+In the running sleep study example, the 95\% confidence intervals
+estimated by all three methods are quite similar.  The largest
+change is a \Sexpr{mdiffpct}\% difference in confidence
+interval widths between profile and parametric bootstrap methods for
+the correlation between the intercept and slope random effects
+(\{\Sexpr{round(ccb[2,1],2)},\Sexpr{round(ccb[2,2],2)}\} vs.
+\{\Sexpr{round(ccp[2,1],2)},\Sexpr{round(ccp[2,2],2)}\}).
+%% \bmb{Mention that in our experience the profile CIs are
+%% reasonably reliable for large and/or well-behaved data sets?
+%% Is that too vague?  Disclaimer that a simulation study would
+%% be required to know for sure?}
+
+\subsubsection{General profile zeta and related plots}
+\label{sec:profzeta}
+
+\pkg{lme4} provides several functions (built on \pkg{lattice}
+graphics, \citealt{lattice}) for plotting the profile zeta functions
+(Section~\ref{sec:profile}) and other related quantities.
+
+\begin{itemize}
+\item The \emph{profile zeta} plot
+  (Figure~\ref{fig:profile_zeta_plot}; \code{xyplot}) is simply a plot
+  of the profile zeta function for each model parameter; linearity of
+  this plot for a given parameter implies that the likelihood profile
+  is quadratic (and thus that Wald approximations would be reasonably
+  accurate).
+\item The \emph{profile density plot}
+  (Figure~\ref{fig:profile_density_plot}; \code{densityplot}) displays
+  an approximation of the probability density function of the sampling
+  distribution for each parameter.  These densities are derived by
+  setting the cumulative distribution function (c.d.f) to be
+  $\Phi(\zeta)$ where $\Phi$ is the c.d.f.{} of the standard normal
+  distribution.  This is not quite the same as evaluating the
+  distribution of the estimator of the parameter, which for mixed
+  models can be very difficult, but it gives a reasonable
+  approximation.  If the profile zeta plot is linear, then the profile
+  density plot will be Gaussian.
+\item The \emph{profile pairs plot}
+  (Figure~\ref{fig:profile_pairs_plot}; \code{splom}) gives an
+  approximation of the two-dimensional profiles of pairs of
+  parameters, interpolated from the univariate profiles as described
+  in \citet[Chapter~6]{bateswatts88:_nonlin}.  The profile pairs plot
+  shows two-dimensional 50\%, 80\%, 90\%, 95\% and 99\% marginal
+  confidence regions based on the likelihood ratio, as well as the
+  \emph{profile traces}, which indicate the conditional estimates of
+  each parameter for fixed values of the other parameters.  While
+  panels above the diagonal show profiles with respect to the original
+  parameters (with random-effects parameters on the standard
+  deviation\slash{}correlation scale, as for all profile plots), the
+  panels below the diagonal show plots on the $(\zeta_i,\zeta_j)$
+  scale.  The below-diagonal panels allow us to see distortions from
+  an elliptical shape due to nonlinearity of the traces, separately
+  from the one-dimensional distortions caused by a poor choice of
+  scale for the parameters.  The $\zeta$ scales provide, in some sense,
+  the best possible set of single-parameter transformations for
+  assessing the contours.  On the $\zeta$ scales the extent of a
+  contour on the horizontal axis is exactly the same as the extent on
+  the vertical axis and both are centered about zero.
+\end{itemize}
+<<profile_calc,echo=FALSE,cache=TRUE>>=
+pf <- profile(fm1)
+@
+<<profile_zeta_plot,fig.cap="Profile zeta plot: \\code{xyplot(prof.obj)}",fig.scap="Profile zeta plot",echo=FALSE,fig.align='center',fig.pos='tb'>>=
+xyplot(pf)
+@
+<<profile_density_plot,fig.cap="Profile density plot: \\code{densityplot(prof.obj)}",echo=FALSE,fig.align='center',fig.pos='tb'>>=
+densityplot(pf)
+@
+<<profile_pairs_plot,fig.cap="Profile pairs plot: \\code{splom(prof.obj)}",echo=FALSE,fig.height=8,fig.width=8,fig.align='center',fig.pos='htb',out.height='5.5in'>>=
+splom(pf)
+@
+
+For users who want to build their own graphical displays of the
+profile, there is a method for  \code{as.data.frame} that converts profile
+(`\code{thpr}') objects to a more convenient format.
+
+\subsubsection{Computing fitted and predicted values; simulating}
+\label{sec:predict}
+
+Because mixed models involve random coefficients, one must always
+clarify whether predictions should be based on the marginal
+distribution of the response variable or on the distribution that is
+conditional on the modes of the random effects
+(Equation~\ref{eq:distYgivenU}).  The \code{fitted} method retrieves fitted
+values that are conditional on all of the modes of the random effects;
+the \code{predict} method returns the same values by default, but also
+allows for predictions to be made conditional on different sets of
+random effects.  For example, if the \code{re.form} argument is set to
+\code{NULL} (the default), then the predictions are conditional on all
+random effects in the model; if \code{re.form} is \verb+~0+ or
+\code{NA}, then the predictions are made at the population level (all
+random-effect values set to zero).  In models with multiple random
+effects, the user can give \code{re.form} as a formula that specifies
+which random effects are conditioned on.
+
+\pkg{lme4} also provides a \code{simulate} method, which allows
+similar flexibility in conditioning on random effects; in addition it
+allows the user to choose (via the \code{use.u} argument) between
+conditioning on the fitted conditional modes or choosing a new set of
+simulated conditional modes (zero-mean Normal deviates chosen
+according to the estimated random-effects variance-covariance
+matrices).  Finally, the \code{simulate} method has a method for
+`\code{formula}' objects, which allows for \emph{de novo} simulation in
+the absence of a fitted model.  In this case, the user must specify
+the random-effects ($\bm\theta$), fixed-effects ($\bm\beta$), and
+residual standard deviation ($\sigma$) parameters via the
+\code{newparams} argument.  The standard simulation method (based on a
+`\code{merMod}' object) is the basis of parametric bootstrapping
+(Section~\ref{sec:pb}) and posterior predictive simulation
+(Section~\ref{sec:diagnostics}); \emph{de novo} simulation based on a
+formula provides a flexible framework for power analysis.
+
+\section{Conclusion}
+
+Mixed modeling is an extremely useful but computationally intensive
+technique.  Computational limitations are especially important because
+mixed models are commonly applied to moderately large data sets
+($10^4$--$10^6$ observations).  By developing an efficient, general,
+and (now) well-documented platform for fitted mixed models in
+\proglang{R}, we hope to provide both a practical tool for end users
+interested in analyzing data and a reusable, modular framework for
+downstream developers interested in extending the class of models that
+can be easily and efficiently analyzed in \proglang{R}.
+
+%% Results of some quick Google scholar searches:
+%% "mixed models" +
+%%  stata: 6130
+%%  "PROC MIXED": 12200
+%%  CRAN: 4020
+%%  lme4: 5110
+%%  "nlme": 2960
+%%  SAS: 49500
+%%  NLMIXED: 1960
+%%  GLIMMIX: 4920
+%%  winbugs: 2250
+%%  gllamm: 1140
+
+We have learned much about linear mixed models in the process of
+developing \pkg{lme4}, both from our own attempts to develop robust
+and reliable procedures and from the broad community of \pkg{lme4}
+users; we have attempted to describe many of these lessons here.  In
+moving forward, our main priorities are (1) to maintain the reference
+implementation of \pkg{lme4} on the Comprehensive \proglang{R} Archive Network (CRAN), developing relatively few new
+features; (2) to improve the flexibility, efficiency and scalability
+of mixed-model analysis across multiple compatible implementations,
+including both the \pkg{MixedModels} package for \proglang{Julia} and
+the experimental \pkg{flexLambda} branch of \pkg{lme4}.
+
+\section*{Acknowledgments}
+
+Rune Haubo Christensen, Henrik Singmann, Fabian Scheipl,
+Vincent Dorie, and Bin Dai contributed ideas
+and code to the current version of \pkg{lme4}; the
+large community of \pkg{lme4} users has exercised the software,
+discovered bugs, and made many useful suggestions.
+S{\o}ren H{\o}jsgaard participated in useful discussions
+and Xi Xia  and Christian Zingg exercised the code
+and reported problems.
+We would like to thank the Banff International Research Station
+for hosting a working group on \pkg{lme4}, and
+an NSERC Discovery grant and NSERC postdoctoral fellowship for funding.
+
+\clearpage
+
+\bibliography{lmer}
+
+\clearpage
+% \bigskip \par \pagebreak[3]
+
+\begin{appendix}
+
+\section{Modularization examples}
+\label{sec:modularExamples}
+
+The modularized functions in \pkg{lme4} allow for finer control of the
+various steps in fitting mixed models (Table~\ref{tab:modular}).  The
+main advantage of these functions is the ability to extend the class
+of models that \code{lmer} is capable of fitting.  In general there
+are three steps to this process.
+\begin{itemize}
+\item Construct a mixed-model formula that is similar to the intended
+  model.
+\item Using the modular functions, hook into and modify the fitting
+  process so that the desired model is estimated.
+\item Use the estimated parameter values to make inferences.
+\end{itemize}
+Note that the many tools of the output module become unavailable for
+sufficiently extensive departures from the class of models fitted by
+\code{lmer}.  Therefore, this last inference step may be more involved
+in the modular approach than with inference from models fitted by
+\code{lmer}.  Here we provide two examples that illustrate this
+process.
+
+\subsection{Zero slope-slope covariance models}
+\label{sec:zeroSlopeSlope}
+
+Consider the following mixed-model formula,
+<<modularSimulationFormula>>=
+form <- respVar ~ 1 + (explVar1 + explVar2 | groupFac)
+@ %
+in which we have a fixed intercept and two random-effects terms, each
+with a random slope and intercept.  The \code{lmer} function would fit
+this formula to data by estimating an unstructured $3 \times 3$
+covariance matrix giving the variances and covariances among the
+intercept and the two slopes.  It is not possible to use the current
+version of \code{lmer} to fit a model with the following two
+properties: (1) the slopes are uncorrelated and (2) the intercept is
+correlated with both of the slopes.  We illustrate the use of the
+modular functions in \pkg{lme4} to fit such a model.
+
+\subsubsection{Simulate from a zero slope-slope covariance model}
+
+We simulate data from such a model using a balanced design with a
+single grouping factor.  We use \pkg{lme4}'s utilities for
+constructing a template from the model formula, with which to conduct
+these simulations.  We simulate a balanced design with 500 levels to
+the grouping factor and 20 observations per group,
+<<dataTemplate>>=
+set.seed(1)
+dat <- mkDataTemplate(form,
+  nGrps = 500,
+  nPerGrp = 20,
+  rfunc = rnorm)
+head(dat)
+@ %
+The initial parameters for this model may be obtained using
+\code{mkParsTemplate}.
+<<parsTemplate>>=
+(pars <- mkParsTemplate(form, dat))
+@ %
+We wish to simulate random effects from the following covariance
+matrix,
+<<simCorr>>=
+vc <- matrix(c(1.0, 0.5, 0.5,
+  0.5, 1.0, 0.0,
+  0.5, 0.0, 1.0), 3, 3)
+@ %
+Here the intercept is correlated with each of the two slopes, but the
+slopes are uncorrelated.  The \code{theta} vector that corresponds to
+this covariance matrix can be computed using \pkg{lme4}'s facilities
+for converting between various representations of (co-)variance
+structures (see \code{?vcconv}).
+<<vcTheta>>=
+pars$theta[] <- Vv_to_Cv(mlist2vec(vc))
+@ %
+With these new parameters installed, we simulate a response variable.
+<<varCorrStructure>>=
+dat$respVar <- simulate(form,
+  newdata = dat,
+  newparams = pars,
+  family = "gaussian")[[1]]
+@ %
+Indeed this data set appears to contain intercept-slope correlations,
+but not slope-slope correlations, as we see using the \code{lmList}
+function.
+<<graphSims>>=
+formLm <- form
+formLm[[3]] <- findbars(form)[[1]]
+print(formLm)
+cor(t(sapply(lmList(formLm, dat), coef)))
+@ %
+This \code{lmList} function computes ordinary linear models for each
+level of the grouping factor.  Next we show how to fit a proper mixed
+model to these data.
+
+\subsubsection{Fitting a zero slope-slope covariance model}
+
+The main challenge with fitting a zero slope-slope model is the need
+to figure out which Cholesky decompositions correspond to
+variance-covariance matrices with structural zeros between the slopes.
+There are two general approaches to solving this problem.  The first
+is to reorder the rows and columns of the covariance matrix so that
+the intercept column comes last.  In this case, setting the second
+component of the covariance parameter vector, $\bm\theta$, to zero will
+achieve the desired covariance structure.  However, we consider a
+second approach, which retains the ordering produced by the
+\code{lFormula} function: (1) intercept, (2) first slope, and (3)
+second slope. The covariance structure for the random effects in this
+model is given by the following covariance matrix and its associated
+Cholesky decomposition.
+\begin{equation}
+  \label{eq:1}
+  \begin{bmatrix}
+    \sigma_1^2 & \sigma_{12} & \sigma_{13} \\
+    \sigma_{21} & \sigma_2^2 & 0 \\
+    \sigma_{31} & 0 & \sigma_3^2 \\
+  \end{bmatrix} =
+  \begin{bmatrix}
+    \theta_1 & 0 & 0 \\
+    \theta_2 & \theta_4 & 0 \\
+    \theta_3 & \theta_5 & \theta_6 \\
+  \end{bmatrix}
+  \begin{bmatrix}
+    \theta_1 & \theta_2 & \theta_3 \\
+    0 & \theta_4 & \theta_5 \\
+    0 & 0 & \theta_6 \\
+  \end{bmatrix}
+\end{equation}
+where the $\sigma$ parameters give the standard deviations and
+covariances, and the $\theta$ parameters are the elements of the
+Cholesky decomposition.  The key feature of this covariance matrix is
+the structural zero indicating no covariance between the two
+slopes.  Therefore, in order to ensure the structural zero, we must
+have,
+\begin{equation}
+  \label{eq:2}
+  \theta_5 = -\frac{\theta_2\theta_3}{\theta_4}.
+\end{equation}
+To represent this restriction in \proglang{R} we introduce a length
+five vector, \code{phi}, which we convert into an appropriate
+\code{theta} vector using the following function.
+<<phiToTheta, cache = FALSE>>=
+phiToTheta <- function(phi) {
+    theta5 <- -(phi[2]*phi[3])/phi[4]
+    c(phi[1:4], theta5, phi[5])
+}
+@ %
+We may therefore optimize the structured model by optimizing over
+\code{phi} instead of \code{theta}.  We begin to construct an
+appropriate objective function for such an optimization by taking the
+first two modular steps, resulting in a deviance function of
+\code{theta}.
+<<compute deviance function modular, cache = FALSE>>=
+lf <- lFormula(formula = form, data = dat, REML = TRUE)
+devf <- do.call(mkLmerDevfun, lf)
+@ %
+This deviance function is a function of the unconstrained \code{theta}
+vector, but we require a deviance function of the constrained
+\code{phi} vector.  We therefore construct a wrapper around the
+deviance function as follows.
+<<wrapper modular, cache = FALSE>>=
+devfWrap <- function(phi) devf(phiToTheta(phi))
+@ %
+Finally, we optimize the deviance function,
+<<opt modular, cache = FALSE>>=
+opt <- bobyqa(par = lf$reTrms$theta[-5],
+  fn = devfWrap,
+  lower = lf$reTrms$lower[-5])
+@ %
+To extract and label the estimated covariance matrix of the random
+effects, we may use the conversion functions (\code{?vcconv}) and the
+column names of the random-effects model matrix (\code{cnms}).  We
+construct this estimated matrix and compare it with the true matrix
+used to simulate the data.
+<<varCorr modular, cache = FALSE>>=
+vcEst <- vec2mlist(Cv_to_Vv(phiToTheta(opt$par)))[[1]]
+dimnames(vcEst) <- rep(lf$reTrms$cnms, 2)
+round(vcEst, 2)
+vc
+@ %
+We see that the estimated covariance matrix provides a good estimate
+of the true matrix.
+
+\subsection{Additive models}
+\label{sec:additive}
+
+It is possible to interpret additive models as a particular class of
+mixed models \citep{gamm4}.  The main benefit of this approach is
+that it bypasses the need to select a smoothness parameter using
+cross-validation or generalized cross-validation.  However, it is
+inconvenient to specify additive models using the \pkg{lme4} formula
+interface.  The \pkg{gamm4} package wraps the modularized functions of
+\pkg{lme4} within a more convenient interface \citep{gamm4}.  In
+particular, the strategy involves the following steps,
+\begin{enumerate}
+\item Convert a \pkg{gamm4} formula into an \pkg{lme4} formula that
+  approximates the intended model.
+\item Parse this formula using \code{lFormula}.
+\item Modify the resulting transposed random-effects model matrix, $\bm
+  Z\trans$, so that the intended additive model results.
+\item Fit the resulting model using the remaining modularized
+  functions (Table~\ref{tab:modular}).
+\end{enumerate}
+Here we illustrate this general strategy using a simple simulated data
+set,
+<<simulateSplineData,message=FALSE>>=
+library("gamm4")
+library("splines")
+set.seed(1)
+n <- 100
+pSimulation <- 3
+pStatistical <- 8
+x <- rnorm(n)
+Bsimulation <- ns(x, pSimulation)
+Bstatistical <- ns(x, pStatistical)
+beta <- rnorm(pSimulation)
+y <- as.numeric(Bsimulation %*% beta + rnorm(n, sd = 0.3))
+@ %
+where \code{pSimulation} is the number of columns in the simulation
+model matrix and \code{pStatistical} is the number of columns in the
+statistical model matrix.
+
+We plot the resulting data along with the predictions from the
+generating model,  %% BMB: stopped here
+<<splineExampleDataPlot, fig.width=4, fig.height=3,fig.align="center">>=
+par(mar = c(4, 4, 1, 1), las = 1, bty = "l")
+plot(x, y, las = 1)
+lines(x[order(x)], (Bsimulation %*% beta)[order(x)])
+@ %
+We now set up an approximate \pkg{lme4} model formula, and parse it
+using \code{lFormula},
+<<splineExampleApproximateFormula>>=
+pseudoGroups <- as.factor(rep(1:pStatistical, length = n))
+parsedFormula <- lFormula(y ~ x + (1 | pseudoGroups))
+@ %
+We now insert a spline basis into the \code{parsedFormula} object,
+<<splineExampleModifyZt>>=
+parsedFormula$reTrms <- within(parsedFormula$reTrms, {
+    Bt <- t(as.matrix(Bstatistical))[]
+    cnms$pseudoGroups <- "spline"
+    Zt <- as(Bt, class(Zt))
+})
+@ %
+Finally we continue with the remaining modular steps,
+<<splineExampleRemainingModularSteps>>=
+devianceFunction <- do.call(mkLmerDevfun, parsedFormula)
+optimizerOutput <- optimizeLmer(devianceFunction)
+mSpline <- mkMerMod(   rho = environment(devianceFunction),
+                       opt = optimizerOutput,
+                    reTrms = parsedFormula$reTrms,
+                        fr = parsedFormula$fr)
+mSpline
+@ %
+Computing the fitted values of this additive model requires some
+custom code, and illustrates the general principle that methods for
+\code{merMod} objects constructed from modular fits should only be
+used if the user knows what she is doing,
+<<splineExampleFittedModelPlot, fig.width=4, fig.height=3, fig.align="center">>=
+xNew <- seq(min(x), max(x), length = 100)
+newBstatistical <- predict(Bstatistical, xNew)
+yHat <-   cbind(1, xNew) %*% getME(mSpline, "fixef") +
+        newBstatistical %*% getME(mSpline, "u")
+par(mar = c(4, 4, 1, 1), las = 1, bty = "l")
+plot(x, y)
+lines(xNew, yHat)
+lines(x[order(x)], (Bsimulation %*% beta)[order(x)],lty = 2)
+legend("topright", bty = "n", c("fitted", "generating"), lty = 1:2,col = 1)
+@
+\end{appendix}
+
+\end{document}
+
+%
+
+%%% Local Variables:
+%%% ess-swv-processor: knitr
+%%% TeX-master: t
+%%% End:
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--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/lme4/help/AnIndex	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/lme4/help/AnIndex	(revision 3761)
@@ -0,0 +1,204 @@
+lme4-package	lme4-package
+.makeCC	lmerControl
+.prt.aictab	utilities
+.prt.call	utilities
+.prt.family	utilities
+.prt.grps	utilities
+.prt.methTit	utilities
+.prt.resids	utilities
+.prt.VC	utilities
+.prt.warn	utilities
+.simulateFun	simulate.merMod
+allFit	allFit
+anova.merMod	merMod-class
+Arabidopsis	Arabidopsis
+as.data.frame.ranef.mer	ranef
+as.data.frame.thpr	profile-methods
+as.data.frame.VarCorr.merMod	VarCorr
+as.function.merMod	merMod-class
+bootMer	bootMer
+cake	cake
+cbpp	cbpp
+checkConv	checkConv
+coef.merMod	merMod-class
+confint.merMod	confint.merMod
+confint.thpr	confint.merMod
+convergence	convergence
+cooks.distance.influence.merMod	influence.merMod
+cooks.distance.merMod	influence.merMod
+cov2sdcor	vcconv
+Cv_to_Sv	vcconv
+Cv_to_Vv	vcconv
+densityplot.thpr	plots.thpr
+devcomp	devcomp
+devfun2	devfun2
+deviance.merMod	merMod-class
+df.residual.merMod	merMod-class
+dfbeta.influence.merMod	influence.merMod
+dfbetas.influence.merMod	influence.merMod
+dotplot.ranef.mer	ranef
+drop1.merMod	drop1.merMod
+dummy	dummy
+Dyestuff	Dyestuff
+Dyestuff2	Dyestuff
+expandDoubleVerts	expandDoubleVerts
+extractAIC.merMod	merMod-class
+factorize	factorize
+family.merMod	merMod-class
+findbars	findbars
+fitted.merMod	merMod-class
+fixed.effects	fixef
+fixef	fixef
+fixef.merMod	fixef
+formatVC	utilities
+formula.merMod	merMod-class
+fortify	fortify
+fortify.merMod	fortify
+getData	fortify
+getData.merMod	fortify
+getL	getME
+getL,merMod-method	getME
+getME	getME
+getME.merMod	getME
+GHrule	GHrule
+glFormula	modular
+glmer	glmer
+glmer.nb	glmer.nb
+glmerControl	lmerControl
+glmerLaplaceHandle	glmerLaplaceHandle
+glmerMod-class	merMod-class
+glmFamily	glmFamily
+glmFamily-class	glmFamily-class
+glmResp	lmResp
+glmResp-class	lmResp-class
+golden	golden-class
+golden-class	golden-class
+GQdk	GQdk
+GQN	GQdk
+grouseticks	grouseticks
+grouseticks_agg	grouseticks
+hatvalues.merMod	hatvalues.merMod
+influence.merMod	influence.merMod
+InstEval	InstEval
+isGLMM	isREML
+isGLMM.merMod	isREML
+isLMM	isREML
+isLMM.merMod	isREML
+isNested	isNested
+isNLMM	isREML
+isNLMM.merMod	isREML
+isREML	isREML
+isREML.merMod	isREML
+isSingular	isSingular
+lFormula	modular
+llikAIC	utilities
+lme4	lme4-package
+lme4_testlevel	lme4_testlevel
+lmer	lmer
+lmerControl	lmerControl
+lmerMod-class	merMod-class
+lmerResp	lmResp
+lmerResp-class	lmResp-class
+lmList	lmList
+lmList4-class	lmList4-class
+lmResp	lmResp
+lmResp-class	lmResp-class
+log.thpr	profile-methods
+logLik.merMod	merMod-class
+logProf	profile-methods
+mcmcsamp	pvalues
+merMod	merMod-class
+merMod-class	merMod-class
+merPredD	merPredD
+merPredD-class	merPredD-class
+methTitle	utilities
+mkDataTemplate	mkSimulationTemplate
+mkGlmerDevfun	modular
+mkLmerDevfun	modular
+mkMerMod	mkMerMod
+mkNewReTrms	mkReTrms
+mkParsTemplate	mkSimulationTemplate
+mkRespMod	mkRespMod
+mkReTrms	mkReTrms
+mkVarCorr	mkVarCorr
+mlist2vec	vcconv
+model.frame.merMod	merMod-class
+model.matrix.merMod	merMod-class
+modular	modular
+negative.binomial	glmer.nb
+NelderMead	NelderMead-class
+NelderMead-class	NelderMead-class
+Nelder_Mead	Nelder_Mead
+ngrps	ngrps
+ngrps.merMod	merMod-class
+nlformula	nlformula
+nlmer	nlmer
+nlmerControl	lmerControl
+nlmerMod-class	merMod-class
+nlminbwrap	nloptwrap
+nloptwrap	nloptwrap
+nlsResp	lmResp
+nlsResp-class	lmResp-class
+nobars	nobars
+nobs	merMod-class
+nobs.merMod	merMod-class
+optimizeGlmer	modular
+optimizeLmer	modular
+Pastes	Pastes
+Penicillin	Penicillin
+plot.lmList	lmList
+plot.merMod	plot.merMod
+predict.merMod	predict.merMod
+print.merMod	merMod-class
+print.summary.merMod	merMod-class
+print.VarCorr.merMod	VarCorr
+profile-methods	profile-methods
+profile.merMod	profile-methods
+pvalues	pvalues
+qqmath.merMod	plot.merMod
+qqmath.ranef.mer	ranef
+ranef	ranef
+ranef.merMod	ranef
+refit	refit
+refit.merMod	refit
+refitML	refitML
+refitML.merMod	refitML
+REMLcrit	merMod-class
+rePCA	rePCA
+rePos	rePos
+rePos-class	rePos-class
+residuals.glmResp	residuals.merMod
+residuals.lmResp	residuals.merMod
+residuals.merMod	residuals.merMod
+sdcor2cov	vcconv
+show,lmList4-method	lmList4-class
+show,merMod-method	merMod-class
+show.merMod	merMod-class
+show.summary.merMod	merMod-class
+sigma	sigma
+sigma.merMod	sigma
+simulate.formula	simulate.formula
+simulate.merMod	simulate.merMod
+sleepstudy	sleepstudy
+splom.thpr	plots.thpr
+subbars	subbars
+summary.merMod	merMod-class
+summary.summary.merMod	merMod-class
+Sv_to_Cv	vcconv
+terms.merMod	merMod-class
+troubleshooting	troubleshooting
+update.merMod	merMod-class
+updateGlmerDevfun	modular
+VarCorr	VarCorr
+VarCorr.merMod	VarCorr
+varianceProf	profile-methods
+vcconv	vcconv
+vcov.merMod	merMod-class
+vcov.summary.merMod	merMod-class
+vec2mlist	vcconv
+vec2STlist	vcconv
+VerbAgg	VerbAgg
+Vv_to_Cv	vcconv
+weights.merMod	merMod-class
+xyplot.thpr	plots.thpr
+||	expandDoubleVerts
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/lme4/help/paths.rds
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Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/lme4/testdata/crabs_randdata00.Rda
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Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/lme4/testdata/lme-tst-fits.rda
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Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/lme4/testdata/badprof.rds
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Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/lme4/testdata/strip_env.R
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/lme4/testdata/strip_env.R	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/lme4/testdata/strip_env.R	(revision 3761)
@@ -0,0 +1,25 @@
+## code for reducing prof
+
+dropform <- function(z) {
+    lapply(z, function(x) {
+        environment(attr(x,"formula")) <- NULL
+        x
+    })
+}
+rpt <- function(p, hdr) {
+    cat(hdr, capture.output(pryr::object_size(p)), "\n")
+}
+
+strip_profile <- function(p, quietly=FALSE) {
+    
+    if (!quietly) {
+        rpt(p,"initial : ")
+    }
+    attr(p,"forward") <- dropform(attr(p,"forward"))
+    attr(p,"backward") <- dropform(attr(p,"backward"))
+    if (!quietly) {
+        rpt(p,"final : ")
+    }
+    return(p)
+}
+
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/lme4/testdata/prLogistic.RData
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Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/lme4/testdata/respiratory.RData
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Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/lme4/testdata/radinger_dat.RData
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Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/lme4/testdata/dat20101314.csv
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/lme4/testdata/dat20101314.csv	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/lme4/testdata/dat20101314.csv	(revision 3761)
@@ -0,0 +1,46 @@
+"","Operator","Part","y"
+"1","A","P1",1.98353608160299
+"2","A","P1",2.00732095292274
+"3","A","P2",3.0749991860642
+"4","A","P2",3.10873748962838
+"5","A","P3",3.10259147754259
+"6","A","P3",3.1218519017369
+"7","H","P1",1.98645821273731
+"8","H","P1",1.98245215138499
+"9","H","P2",3.05996458578668
+"10","H","P2",3.08242270866658
+"11","H","P3",3.07070635017356
+"12","H","P3",3.04616336618396
+"13","B","P1",2.01140125992474
+"14","B","P2",3.16219985241226
+"15","B","P3",3.17248908910763
+"16","I","P1",2.02958667163046
+"17","I","P1",2.03750617769168
+"18","I","P2",3.10722354113837
+"19","I","P2",3.14463646758849
+"20","I","P3",3.14980086225833
+"21","I","P3",3.14796987608195
+"22","C","P1",2.0111473607758
+"23","C","P1",2.04559677186758
+"24","C","P2",3.13151922069791
+"25","C","P2",3.17781632049401
+"26","C","P3",3.11138686811249
+"27","C","P3",3.1244031385292
+"28","J","P1",2.06213053462212
+"29","J","P1",2.04785872740746
+"30","J","P2",3.12921603371435
+"31","J","P2",3.08574354980366
+"32","J","P3",3.11093297024656
+"33","J","P3",3.10771861052026
+"34","D","P1",1.9903388547876
+"35","D","P1",1.9778607292647
+"36","D","P2",3.05476621783899
+"37","D","P2",3.08762882022979
+"38","D","P3",3.06490702715964
+"39","D","P3",3.0651276340067
+"40","K","P1",1.96350449941429
+"41","K","P1",1.98851436583367
+"42","K","P2",3.06846787597901
+"43","K","P2",3.085126393163
+"44","K","P3",3.05210884681015
+"45","K","P3",3.05642838998105
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/lme4/testdata/crabs_randdata2.Rda
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Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/lme4/testdata/harmel_profile.rds
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Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/lme4/testdata/lme-tst-fits.R
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/lme4/testdata/lme-tst-fits.R	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/lme4/testdata/lme-tst-fits.R	(revision 3761)
@@ -0,0 +1,88 @@
+#### Saved fits for lme4 testing
+####  ----------------------------------
+fn <- system.file("testdata", (fn0 <- "lme-tst-fits.rda"),
+                  package="lme4", mustWork=TRUE)
+
+run_Pix_prof <- FALSE
+
+if(FALSE) ### "Load" these by  load(fn)
+    ## or "better"
+    attach(fn)
+
+library(lme4)
+str(packageDescription("lme4")[c("Version", "Packaged", "Built")])
+
+## intercept only in both fixed and random effects
+fit_sleepstudy_0 <- lmer(Reaction ~ 1 + (1|Subject), sleepstudy)
+## fixed slope, intercept-only RE
+fit_sleepstudy_1 <- lmer(Reaction ~ Days + (1|Subject), sleepstudy)
+## fixed slope, intercept & slope RE
+fit_sleepstudy_2 <- lmer(Reaction ~ Days + (Days|Subject), sleepstudy)
+## fixed slope, independent intercept & slope RE
+fit_sleepstudy_3 <- lmer(Reaction ~ Days + (1|Subject)+ (0+Days|Subject), sleepstudy)
+
+cbpp$obs <- factor(seq(nrow(cbpp)))
+## intercept-only fixed effect
+fit_cbpp_0 <- glmer(cbind(incidence, size-incidence) ~ 1 + (1|herd),
+                    cbpp, family=binomial)
+## include fixed effect of period
+fit_cbpp_1 <- update(fit_cbpp_0, . ~ . + period)
+## include observation-level RE
+fit_cbpp_2 <- update(fit_cbpp_1, . ~ . + (1|obs))
+## specify formula by proportion/weights instead
+fit_cbpp_3 <- update(fit_cbpp_1, incidence/size ~ period + (1 | herd), weights = size)
+
+fit_penicillin_1 <- lmer(diameter ~ (1|plate) + (1|sample), Penicillin)
+fit_cake_1 <- lmer(angle ~ temp + recipe + (1 | replicate), data=cake)
+
+## an example with >20 fixed effects (for testing print.summary.merMod)
+if (require(agridat)) {
+    ## Define main plot and subplot
+    d.apple.agridat <- transform(archbold.apple, rep=factor(rep),
+                                 spacing=factor(spacing), trt=factor(trt),
+                                 mp = factor(paste0(row,spacing)),
+                                 sp = factor(paste0(row,spacing,stock)))
+    fit_agridat_archbold <- lmer(yield ~ -1 + trt + (1|rep/mp/sp), d.apple.agridat)
+    to.save <- "d.apple.agridat"
+} else
+    to.save <- character()
+
+##
+data("Pixel", package="nlme")
+fit_Pix.full <- lmer(pixel ~ day + I(day^2) + (day | Dog) + (1 | Side/Dog),
+                     data = Pixel)
+fit_Pix.1Dog <- lmer(pixel ~ day + I(day^2) +   (1 | Dog) + (1 | Side/Dog),
+                     data = Pixel)
+fit_Pix.noD  <- update(fit_Pix.1Dog, .~. - (1 | Dog))
+anova(fit_Pix.full,
+      fit_Pix.1Dog,
+      fit_Pix.noD)
+
+if (run_Pix_prof) {
+    ## Warnings about non-monotonic profile (and more):
+    options(warn=1) # print as they happen {interspersed in verbose profile() msgs}:
+    system.time(prof.fit_Pix.f <- profile(fit_Pix.full, verbose=1))
+    ## ~ 90 sec on nb-mm4 [i7-5600U, 2015]
+
+    signif(confint(prof.fit_Pix.f), digits=3)
+    ## Results in Nov.2014: -- now .sig03 now shows [-1, 1]
+    ##              2.5 % 97.5 %
+    ## .sig01      10.449 28.909
+    ## .sig02      12.951 48.203
+    ## .sig03          NA     NA <<
+    ## .sig04       1.073  3.066
+    ## .sig05       0.000 27.794
+    ## .sigma       7.651 10.592
+    ## (Intercept)     NA     NA <<
+    ## day             NA     NA <<
+    ## I(day^2)    -0.434 -0.298
+    
+    try( ## FIXME --> ../../R/profile.R  [FIXME: show plots for the *valid* parts!]
+        lattice::xyplot(prof.fit_Pix.f)
+    )
+    ## FIXME: Error is ok, but error *message* is unhelpful
+    ## Error in approx(bspl$x, bspl$y, xout = zeta) :
+    ##   need at least two non-NA values to interpolate
+}
+
+save(list=c(to.save, ls(pattern="fit_")), file=fn0)
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/lme4/testdata/SO_sep25.RData
===================================================================
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Property changes on: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/lme4/testdata/SO_sep25.RData
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   + application/octet-stream

Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/lme4/testdata/lme-tst-funs.R
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/lme4/testdata/lme-tst-funs.R	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/lme4/testdata/lme-tst-funs.R	(revision 3761)
@@ -0,0 +1,144 @@
+####  Utility Functions for lme4 Testing
+####  ----------------------------------
+if(FALSE) ### "Load" these by
+    source(system.file("testdata", "lme-tst-funs.R", package="lme4", mustWork=TRUE))
+## e.g. from ../../tests/glmmWeights.R
+
+##' example originally from Gabor Grothendieck
+##' https://stat.ethz.ch/pipermail/r-sig-mixed-models/2010q2/003726.html
+##'
+##' @title Simple LMM with 1 ran.eff., 1 fixed eff.
+rSim.11 <- function(n, k, sigma=1, beta=2) {
+    stopifnot(length(n) == 1, length(k) == 1, n > k, k >= 1, k == round(k))
+    x <- 1:n
+    fac <- gl(k, 1, n)
+    fac.eff <- rnorm(k, 0, 4)[fac]
+    e <- rnorm(n, sd=sigma)
+    data.frame(x, fac,
+               y = 1 + beta * x + fac.eff + e)
+}
+
+##' General GLMM simulation  for the model   y ~ x + (1|block)
+##' i.e., in "2-way notation",
+##'   g( E[Y_{ij}|*] ) =: \eta_{ij} = \beta_1 + \beta_2 x_{ij} + B_j,
+##'                                   for  j = 1..nblk,  i = 1..nperblk.
+##' @param nblk integer number of "blocks" (sometimes named \eqn{m}).
+##' @param nperblk integer number of observations per block. ((may be as small as 1,
+##'                e.g., for the binomial or poisson family
+##' @param sigma_B standard deviation of random effect  B  (default = 1).
+##' @param beta length-2 (intercept, slope) fixed eff. parameter  = c(4,3),
+##' @param x  numeric vector of length \eqn{n}   (default = runif(n) (with sd = sqrt(1/12) = 0.2887)
+##'          allow also x=c(0,1)   [length ?? FIXME !!]
+##' @param shape numeric parameter for Gamma shape  (default = 2)
+##' @param nbinom integer N (\code{size}) for binomial trials      (default = 10)
+##' @param sd standard deviation ('sigma') for gaussian() family   (default = 1 )
+##' @param dInitial an "initial" data frame alternatively to the previous arguments; must contain
+##'                 valid columns
+##' @param family a \code{\link{family}} object such as \code{Gamma()}, \code{binomial()},
+##'               or \code{gaussian(link = log)}.
+##'
+##' @author Martin Maechler
+gSim <- function(nblk   =  26,
+                 nperblk= 100,
+                 sigma_B = 1,
+                 beta = c(4,3),
+                 x = runif(n),
+                 shape  = 2,  ## shape parameter for Gamma
+                 nbinom = 10, ## N for binomial trials
+                 sd     = 1,  ## standard deviation ('sigma') for gaussian family
+                 dInitial = NULL,
+                 family = Gamma())
+{
+  if(is.null(dInitial)) {
+    stopifnot(1 <= nblk, nblk <= 1e7, 1 <= nperblk,
+              nblk * nperblk <= 5e7) # some sanity ..
+    ## ch.set := a large enough set of "letters", as level-labels for 'block':
+    nc <- length(ch.set <- c(LETTERS, letters,
+                             paste0(LETTERS,LETTERS), paste0(LETTERS,letters)))
+    while(nblk > nc) nc <-
+	length(ch.set <- c(paste0(ch.set, LETTERS),
+			   paste0(ch.set, letters)))
+    stopifnot(nblk <= length(ch.set))
+    d <- expand.grid(block = ch.set[1:nblk],
+                     rep= 1:nperblk, KEEP.OUT.ATTRS=FALSE)
+    stopifnot(nblk == length(levels(d$block)),
+              (n <- nrow(d)) == nblk * nperblk, length(x) == n, length(beta) == 2)
+    d$ x <- x
+    reff_f <- rnorm(nblk, sd = sigma_B)
+    ## need intercept large enough to avoid negative values
+    d$ eta0 <- beta[1] + beta[2]*x  ## fixed effects only
+    d$ eta  <- d$eta0 + reff_f[d$block]
+  } else { # use 'dInitial'
+    stopifnot(is.data.frame(dInitial),
+              is.character(nm.d <- c("block", "x", "eta0", "eta")), # "rep" not really required
+              nm.d %in% names(dInitial),
+              is.factor(dInitial[["block"]]),
+              vapply(nm.d[-1], function(nm) is.numeric(dInitial[[nm]]), NA))
+    d <- dInitial
+    n <- nrow(d)
+  }
+    ## Only now  "family-specific" : ----------------------
+    d$ mu   <- family$linkinv(d$eta)
+    d$ y <- switch(family$family,
+                   "Gamma"    = rgamma(n, scale = d$mu/shape, shape=shape),
+                   "gaussian" = rnorm(n, d$mu, sd = sd),
+                   "poisson"  = rpois(n, d$mu),
+		   "binomial" = {
+		       z <- rbinom(n, prob=d$mu, size=nbinom)
+		       if (nbinom==1)
+                           factor(z)
+                       else
+                           cbind(succ = z, fail = nbinom - z)
+		   },
+                   stop("Family ", family$family, " not supported here"))
+    d
+}
+
+### For Model comparisons
+
+## a version of getME() that can be used for objects, both from lme4.0 or lme4
+gimME <- function(mod, nm, is.mer = is(mod,"mer"))
+    if(is.mer) lme4.0::getME(mod,nm) else lme4::getME(mod,nm)
+
+##' @title All Coefficients of fitted  (G)LMM model
+##' @param mod a fitted (G)LMM model from pkg lme4.0 or lme4
+##' @param incl.t logical, indicating if 'beta' should include std.errors and t-values
+##' @return named vector of coefficients [ beta | theta | sigma ]
+##' @author Martin Maechler
+allcoefs <- function(mod, incl.t = FALSE) {
+    iMer <- is(mod, "mer")
+    sigmaF <- {
+	if (iMer) lme4.0::sigma else if(getRversion() >= "3.3.0")
+	    stats::sigma else lme4::sigma
+    }
+    ## incl.t: rather also the std.err., t-values:
+    c(beta = if(incl.t) coef(summary(mod)) else gimME(mod, "beta", iMer),
+      gimME(mod,"theta", iMer),# have their own names
+      sigma = sigmaF(mod))
+}
+
+##' S3 method but also works for lme4.0:
+all.equal.merMod <- function(target, current, incl.t=FALSE, ...) {
+    all.equal(allcoefs(target,  incl.t),
+              allcoefs(current, incl.t), ...)
+}
+
+##' some optimizer info
+isOptimized <- function(mod) mod@optinfo[["conv"]][["opt"]] == 0
+baseOpti <- function(mod) mod@optinfo[c("optimizer", "conv","feval")]
+
+## use case:  all.equal(emptyCall(mod1), emptyCall(mod2))
+emptyCall <- function(mod, arg = quote(`.....`)) {
+    cl <- mod@call[1:2]
+    names(cl) <- NULL
+    cl[[2]] <- arg
+    mod@call <- cl
+    mod
+}
+
+## Matrix >= 1.4.1  keeps names in  diag(.)
+Mge141 <- packageVersion("Matrix") >= "1.4.1"
+uc <- if(Mge141) c else function(...) c(..., use.names = FALSE)
+## uc(a = 1.234, b = 4...)  has names for Matrix >= 1.4.1
+unn <- if(Mge141) identity else unname
+## unn(vec)  # keeps names for Matrix >= 1.4.1
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/lme4/testdata/koller-data.R
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/lme4/testdata/koller-data.R	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/lme4/testdata/koller-data.R	(revision 3761)
@@ -0,0 +1,203 @@
+## pre-3.0 compatibility
+if (!exists("rep_len")) rep_len <- function(x, length.out) {
+    rep(x,length.out=length.out)
+}
+
+getData <- local({
+
+data <- structure(list(Var1 = structure(c(1L, 1L, 1L, 1L, 1L, 1L, 1L, 
+                       1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
+                       1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
+                       1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
+                       1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
+                       1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
+                       1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
+                       1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
+                       1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
+                       1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
+                       1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
+                       1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
+                       1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
+                       1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
+                       1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
+                       1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
+                       1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
+                       1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
+                       1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
+                       1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
+                       1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
+                       1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
+                       1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
+                       1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
+                       1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
+                       1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L),
+                       .Label = "i", class = "factor"), 
+                       Var2 = structure(c(1L, 2L, 3L, 4L, 6L, 7L, 8L, 9L, 5L, 10L, 
+                       11L, 12L, 13L, 14L, 16L, 17L, 18L, 19L, 15L, 20L, 1L, 2L, 
+                       3L, 4L, 6L, 7L, 8L, 9L, 5L, 10L, 11L, 12L, 13L, 14L, 16L, 
+                       17L, 18L, 19L, 15L, 20L, 1L, 2L, 3L, 4L, 6L, 7L, 8L, 9L, 
+                       5L, 10L, 11L, 12L, 13L, 14L, 16L, 17L, 18L, 19L, 15L, 20L, 
+                       1L, 2L, 3L, 4L, 6L, 7L, 8L, 9L, 5L, 10L, 11L, 12L, 13L, 14L, 
+                       16L, 17L, 18L, 19L, 15L, 20L, 1L, 2L, 3L, 4L, 6L, 7L, 8L, 
+                       9L, 5L, 10L, 11L, 12L, 13L, 14L, 16L, 17L, 18L, 19L, 15L, 
+                       20L, 1L, 2L, 3L, 4L, 6L, 7L, 8L, 9L, 5L, 10L, 11L, 12L, 13L, 
+                       14L, 16L, 17L, 18L, 19L, 15L, 20L, 1L, 2L, 3L, 4L, 6L, 7L, 
+                       8L, 9L, 5L, 10L, 11L, 12L, 13L, 14L, 16L, 17L, 18L, 19L, 
+                       15L, 20L, 1L, 2L, 3L, 4L, 6L, 7L, 8L, 9L, 5L, 10L, 11L, 12L, 
+                       13L, 14L, 16L, 17L, 18L, 19L, 15L, 20L, 1L, 2L, 3L, 4L, 6L, 
+                       7L, 8L, 9L, 5L, 10L, 11L, 12L, 13L, 14L, 16L, 17L, 18L, 19L, 
+                       15L, 20L, 1L, 2L, 3L, 4L, 6L, 7L, 8L, 9L, 5L, 10L, 11L, 12L, 
+                       13L, 14L, 16L, 17L, 18L, 19L, 15L, 20L, 1L, 2L, 3L, 4L, 6L, 
+                       7L, 8L, 9L, 5L, 10L, 11L, 12L, 13L, 14L, 16L, 17L, 18L, 19L, 
+                       15L, 20L, 1L, 2L, 3L, 4L, 6L, 7L, 8L, 9L, 5L, 10L, 11L, 12L, 
+                       13L, 14L, 16L, 17L, 18L, 19L, 15L, 20L, 1L, 2L, 3L, 4L, 6L, 
+                       7L, 8L, 9L, 5L, 10L, 11L, 12L, 13L, 14L, 16L, 17L, 18L, 19L, 
+                       15L, 20L, 1L, 2L, 3L, 4L, 6L, 7L, 8L, 9L, 5L, 10L, 11L, 12L, 
+                       13L, 14L, 16L, 17L, 18L, 19L, 15L, 20L, 1L, 2L, 3L, 4L, 6L, 
+                       7L, 8L, 9L, 5L, 10L, 11L, 12L, 13L, 14L, 16L, 17L, 18L, 19L, 
+                       15L, 20L, 1L, 2L, 3L, 4L, 6L, 7L, 8L, 9L, 5L, 10L, 11L, 12L, 
+                       13L, 14L, 16L, 17L, 18L, 19L, 15L, 20L, 1L, 2L, 3L, 4L, 6L, 
+                       7L, 8L, 9L, 5L, 10L, 11L, 12L, 13L, 14L, 16L, 17L, 18L, 19L, 
+                       15L, 20L, 1L, 2L, 3L, 4L, 6L, 7L, 8L, 9L, 5L, 10L, 11L, 12L, 
+                       13L, 14L, 16L, 17L, 18L, 19L, 15L, 20L, 1L, 2L, 3L, 4L, 6L, 
+                       7L, 8L, 9L, 5L, 10L, 11L, 12L, 13L, 14L, 16L, 17L, 18L, 19L, 
+                       15L, 20L, 1L, 2L, 3L, 4L, 6L, 7L, 8L, 9L, 5L, 10L, 11L, 12L, 
+                       13L, 14L, 16L, 17L, 18L, 19L, 15L, 20L),
+                       .Label = c("I",  "II", "III", "IV", "IX", "V", "VI", "VII",
+                       "VIII", "X", "XI",  "XII", "XIII", "XIV", "XIX", "XV", "XVI",
+                       "XVII", "XVIII", "XX"), class = "factor"),
+                       y = c(3.73765398950867, -3.51120790925234, 
+                       12.1839225738012, 3.99609672879415, 0.843627704171421, -7.04559578539489, 
+                       0.513269008677759, 4.97769282578416, 2.49430806799148, 0.991538609280039, 
+                       4.18993164324262, 4.3495841603998, 2.83356807975164, -4.38859480555673, 
+                       -12.8040811294054, 2.00835405533382, -7.57752515517392, 0.0841271210580592, 
+                       3.97385034892221, 1.34021074875535, -6.15996774521369, -6.54791733134537, 
+                       2.45854953209851, 3.79168002929171, 3.3138523173418, 10.7249115083109, 
+                       -2.61761510114253, 7.00054855950674, -1.41115081941217, -4.962079292659, 
+                       -2.11897136221405, 11.3389479789342, -3.72007754886636, 1.85089812379994, 
+                       -13.8876705414662, -3.47251691568837, -1.96549041362968, 
+                       7.43791514734734, 10.7670172194604, 9.0127360873934, -11.7785916585473, 
+                       9.41346544434414, 3.0127924406654, -3.18985078985838, 2.84881578678173, 
+                       -0.518750656475174, -9.3910681816332, 5.44675513450321, -0.337785395918151, 
+                       -3.74895467408259, -2.45092543383682, 4.39554056987047, -2.0377325712407, 
+                       -1.51257287759295, -9.91227053755506, 0.762554547726971, 
+                       4.54044289109928, 6.78162414227225, 10.4202003897547, -3.31389234456542, 
+                       -0.641684472376911, -5.49456424419295, 3.69188120245216, 
+                       -9.31158764467119, -8.00780251835972, 10.0497198410038, -4.00925384505182, 
+                       6.2252006228895, -2.22230342778685, 1.37977166715494, 7.63574063435222, 
+                       9.79836237907647, -6.20551488840541, -8.68579293785654, -15.7480632123703, 
+                       -0.621423547375865, 7.16382226999263, 3.72504852864388, 2.83963721816555, 
+                       -0.0783794025199791, -0.327785205836536, 2.33088670969178, 
+                       4.56828185195326, -6.82103022203118, -2.62491672188438, 10.9533909781835, 
+                       2.36400010867679, 15.3986739639712, -2.35999930282853, -1.57034592402079, 
+                       -2.8753451641529, 2.07166604912804, 0.416348528971394, 2.18379536038872, 
+                       -7.44070562275176, 6.21491641202581, 4.25020861349387, 8.28301243102129, 
+                       6.63649017223375, -0.807005609945074, 0.339176476821582, 
+                       1.84392904573721, 12.6678961255872, -5.54507373899084, -3.35304172684939, 
+                       4.91154786431173, -4.07402415037762, 9.91914794606301, -7.57046435117739, 
+                       -7.13672855279298, 3.9933939213261, 4.39759526470308, 2.01318150029584, 
+                       -11.3169462524575, -4.84706361944487, 9.19297484538868, 3.45466726515196, 
+                       6.84010606482168, 14.6503920636412, -3.48897836916374, -6.95803822401051, 
+                       2.92739129952437, 2.59744323098399, -3.48030807668084, 3.80884927141782, 
+                       0.146537520665281, 1.23274373143113, 9.56356244034861, -3.90142244693781, 
+                       -4.15652710053429, 5.13773978189916, 2.39604983320635, 1.4176777822535, 
+                       -6.62963835125375, -4.58820529348173, -0.981446146619961, 
+                       2.387756636853, 5.5512753200343, 7.28207112068619, 4.99635176663038, 
+                       -3.0317536960328, -1.26378875439712, 4.7545181565469, -2.38299158055602, 
+                       -4.42758777890398, -0.774648672685208, 6.91269897656188, 
+                       -1.03297702849414, -5.62852887452025, 3.79472412722679, 5.58882468098643, 
+                       6.43315157276225, -1.24365478076283, -1.95645171888266, -13.3160547038501, 
+                       1.78226065662045, -1.72342459043359, -0.04418632351, 9.49474285906078, 
+                       -4.17077567575033, -8.74723750940909, -3.75922187856885, 
+                       7.39410827622686, -8.34826288671374, 3.0004545328915, 7.4676655049279, 
+                       -1.29476592482056, 9.42445817907791, -3.29094405327681, 1.84755973188091, 
+                       -3.85429966111946, 2.76665794121458, -6.85236683821404, -4.31723416458849, 
+                       -5.34712805340844, 7.19326723176176, -2.44464409715139, 0.54038517656137, 
+                       2.78299516942633, -0.659415040404154, -3.43368834988226, 
+                       -2.78971341955039, 17.3089594669299, -2.94766979448066, -3.04234072194565, 
+                       4.29658249247909, -1.88326448704999, 5.96173521150885, 1.72334947131553, 
+                       0.758088078833381, 5.33916201545216, 0.975947155850382, 5.71373563308963, 
+                       -8.98874954661072, -9.14263535163617, 6.19685095828309, 4.18549045981156, 
+                       -1.60345945880404, 1.65158690452792, 9.02885529962572, -3.03303799789107, 
+                       4.15057190949107, 2.65258923053848, 3.87289674855652, 1.10563654211507, 
+                       4.63834991124262, -1.75508857805948, 10.9405320264838, -2.1693445251728, 
+                       8.86599938141546, 7.52658434905415, -4.74354436864734, -3.94837907069635, 
+                       -3.37175483807791, -16.5840137211132, 0.17716885258081, -2.95625597219348, 
+                       5.62532261883011, 6.59379357816671, -0.0250981457050328, 
+                       -4.9527429751923, 12.8421683874558, 10.5166711838515, -1.62393695811031, 
+                       3.94029463687731, 0.500704762769804, -0.983863058592869, 
+                       8.49001155304681, -2.57222970809997, -1.99902505941696, 3.24034991854071, 
+                       1.45322505199253, -2.18063169639079, -4.53014219966026, -6.32357846426992, 
+                       6.32562264709672, -1.88828662934226, 2.55408065455179, 10.1318447183679, 
+                       1.64098314225015, 0.746429734740446, 0.895061628930342, 4.53738785346549, 
+                       -11.4814478445714, -1.76428897575099, -2.83651762148439, 
+                       6.32901687547852, 9.21021467090194, 1.43524997301248, -0.313773323137739, 
+                       -9.64649488243277, 2.88524049252622, -1.45214344911599, -8.15317889668781, 
+                       -8.69367917177197, 10.8117957975906, -0.815685548127596, 
+                       7.81213740188911, 4.60992633431547, 2.59523387939341, 3.51760858963661, 
+                       3.88657059324826, 10.9427758931758, -6.33530718890243, 6.22520469029045, 
+                       9.45158967125123, 3.29523802800378, 7.38864124667566, 4.54754386610381, 
+                       -0.538955560446215, -3.2808220372572, 5.42312809707991, -1.11443380940403, 
+                       -4.18382162462028, -3.74627651629556, 2.97462300609933, 1.00098766127957, 
+                       -4.69527711955825, 0.728177284963873, -0.411590408404451, 
+                       -5.89810220151414, 0.0265343509226786, 9.36265906671256, 
+                       -11.3641950628064, 3.75259390977136, 5.92340842181436, -0.61626754617014, 
+                       11.048637471232, 4.29131981688655, -2.8916914398775, 3.29549908298842, 
+                       1.20089821576483, -3.47931862363529, -11.1479314221727, -11.9751636112503, 
+                       6.29231826160596, 4.19526471652106, 4.16522331168374, 6.56356486617731, 
+                       1.52379269602587, -6.61995705818778, 5.6471655268325, 9.51189288768841, 
+                       -2.36429560898456, 2.00446921571432, 4.88102343855882, 2.47947900845377, 
+                       14.9983484474455, 5.33666877767093, -1.41432000747851, 5.02625197283469, 
+                       2.72305150728996, -2.24599458375212, -0.335001004678743, 
+                       -5.58376060223309, 3.1622346970675, 2.38936033908977, 3.6086621064926, 
+                       12.1802095502301, 4.11697330891395, -3.92571551300487, 2.83746024670742, 
+                       0.669791999666865, -2.89648250687162, 3.70446400475181, 1.75550207737955, 
+                       -2.67166373628429, 11.2976991997501, 2.63845881072759, 1.3641672366352, 
+                       7.05681626817195, 5.73958459384673, -2.95111835363882, 2.94104103509708, 
+                       -0.380323955842286, 9.98869433579686, -4.43858932051191, 
+                       7.02766843170125, 9.14964437854237, 2.81913370344062, 1.59583147948653, 
+                       6.98152770904925, 4.39034112156261, -5.81348272822057, -6.71607554621091, 
+                       -1.79727536943419, -3.22259627331994, 12.0572597979597, -1.95525422699139, 
+                       -0.000315197522259059, 0.52624451834627, 12.2126930232618, 
+                       -4.68553124615585, 1.67057167602644, -9.83515834965236, 1.74123259280161, 
+                       -1.67200676117609, 13.8269213324389, 6.84257519146863, 5.33441772160316, 
+                       -6.33651886787928, -1.66649793204419, 6.39995921794792, -6.68259735687546, 
+                       6.08981926235198, -3.53583947340409, -1.21103587811449, 7.24975022684127, 
+                       4.97801019029663, 3.14976379524903, 1.96758553600254, 8.43197057862052, 
+                       3.33822717991332, 0.235378273638341, -10.1630873499494, 5.76230996838168, 
+                       -4.61549138480825, 8.20531094191712, 7.12941741404648, 6.00054322848315, 
+                       -5.48192520344437, -9.59876928907475, 1.7683225066202, -7.1390901352502, 
+                       4.25471218768541, 1.80718924948737, -4.20866358864448, -2.44486024149221, 
+                       3.91749495580739, -0.158740143510694, 1.47791160298965, -1.34641057801835, 
+                       -0.668352362532367, -8.17427466239714, -10.2034896388957, 
+                       -0.860308461006896, 3.75705378224295, -0.336485137456501, 
+                       12.5132973642976, 3.49023309888176)),
+                  .Names = c("Var1", "Var2", "y"), row.names = c(NA, -400L),
+                  b = c(-4.36950232041146, 
+                  -0.0424473953245598, 5.56953719092376, -5.30334683089667, -1.10285116011549, 
+                  -0.252162996387152, 2.0499747831754, -1.74063623059889, 7.15605161270018, 
+                  -1.33699218239019, 0.888758869258693, 3.14516697594312, -2.35262555592678, 
+                  -4.94052004170718, 6.34707170732277, -10.0261204723322, 2.73257418977353, 
+                  -0.638617261850626, 3.2694706345968, 0.947216484246937), class = "data.frame")
+
+function(i=1, group = 1, npoints = 31, slim = c(0.1, 40)) {
+    stopifnot(length(slim) == 2, slim[1] < slim[2], length(npoints) == 1,
+              1 <= i, length(i) == 1, i <= npoints)
+    nv2 <- nlevels(V2 <- data$Var2)
+    if(is.numeric(group)) stopifnot(1 <= group, group <= nv2)
+    obs <- which(V2 == levels(V2)[group]) ## those will be shifted and scaled
+    ldata <- data
+    if(length(obs) > 0) {
+        shifts <- rep_len(attr(data, 'b')[V2[group]], npoints) # <- group can have length > 1
+        scales <- seq(slim[1], slim[2], length.out =  npoints)
+    
+        lb <- attr(data, 'b')[V2[obs[1]]]
+        ldata$y[obs] <- if (length(obs) == 1)
+            lb + shifts[i] else (ldata$y[obs] - lb)*scales[i] + shifts[i]
+    }
+    ldata
+}
+})# end{local}
+##--> getData() function {containing everything in its env}.
+
+## getData(group=FALSE)   returns 'data' itself
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/lme4/testdata/hotpower.csv
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/lme4/testdata/hotpower.csv	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/lme4/testdata/hotpower.csv	(revision 3761)
@@ -0,0 +1,12712 @@
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+p6,4.649227,gobmk,1199000,1
+p6,7.221355,gromacs,2533000,0
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+p6,7.174908,gromacs,2533000,0
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+p6,4.674853,gromacs,1199000,0
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+p6,6.370778,gromacs,2133000,1
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+p6,5.557844,gromacs,1733000,1
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+p6,4.662920,gromacs,1199000,1
+p6,4.667716,gromacs,1199000,1
+p6,7.467827,h264ref,2533000,0
+p6,7.450578,h264ref,2533000,0
+p6,7.514165,h264ref,2533000,0
+p6,6.472405,h264ref,2133000,0
+p6,6.444608,h264ref,2133000,0
+p6,6.470930,h264ref,2133000,0
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+p6,5.543767,h264ref,1733000,0
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+p6,4.662770,h264ref,1199000,0
+p6,4.654444,h264ref,1199000,0
+p6,4.654623,h264ref,1199000,0
+p6,7.398715,h264ref,2533000,1
+p6,7.449097,h264ref,2533000,1
+p6,7.416142,h264ref,2533000,1
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+p6,6.449550,h264ref,2133000,1
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+p6,4.664738,h264ref,1199000,1
+p6,4.666311,h264ref,1199000,1
+p6,7.844905,hmmer,2533000,0
+p6,7.839876,hmmer,2533000,0
+p6,7.826513,hmmer,2533000,0
+p6,6.564170,hmmer,2133000,0
+p6,6.542060,hmmer,2133000,0
+p6,6.570818,hmmer,2133000,0
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+p6,5.575593,hmmer,1733000,0
+p6,5.531177,hmmer,1733000,0
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+p6,4.613771,hmmer,1199000,0
+p6,4.667160,hmmer,1199000,0
+p6,7.790547,hmmer,2533000,1
+p6,7.783470,hmmer,2533000,1
+p6,7.818344,hmmer,2533000,1
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+p6,6.963338,lbm,2533000,0
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+p6,6.969904,lbm,2533000,1
+p6,7.067157,lbm,2533000,1
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+p6,4.610437,lbm,1199000,1
+p6,4.605537,lbm,1199000,1
+p6,7.159322,leslie3d,2533000,0
+p6,7.196283,leslie3d,2533000,0
+p6,7.175725,leslie3d,2533000,0
+p6,6.394479,leslie3d,2133000,0
+p6,6.367319,leslie3d,2133000,0
+p6,6.370915,leslie3d,2133000,0
+p6,5.487874,leslie3d,1733000,0
+p6,5.540059,leslie3d,1733000,0
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+p6,4.661548,leslie3d,1199000,0
+p6,7.176855,leslie3d,2533000,1
+p6,7.204896,leslie3d,2533000,1
+p6,7.217993,leslie3d,2533000,1
+p6,6.363637,leslie3d,2133000,1
+p6,6.392664,leslie3d,2133000,1
+p6,6.387067,leslie3d,2133000,1
+p6,5.502875,leslie3d,1733000,1
+p6,5.529076,leslie3d,1733000,1
+p6,5.506607,leslie3d,1733000,1
+p6,4.664679,leslie3d,1199000,1
+p6,4.657392,leslie3d,1199000,1
+p6,4.660979,leslie3d,1199000,1
+p6,6.793185,mcf,2533000,0
+p6,6.894579,mcf,2533000,0
+p6,6.908113,mcf,2533000,0
+p6,6.027500,mcf,2133000,0
+p6,6.062554,mcf,2133000,0
+p6,6.061415,mcf,2133000,0
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+p6,5.322102,mcf,1733000,0
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+p6,6.885589,mcf,2533000,1
+p6,6.887341,mcf,2533000,1
+p6,6.901357,mcf,2533000,1
+p6,6.044777,mcf,2133000,1
+p6,6.006817,mcf,2133000,1
+p6,6.023427,mcf,2133000,1
+p6,5.323272,mcf,1733000,1
+p6,5.327043,mcf,1733000,1
+p6,5.334619,mcf,1733000,1
+p6,4.521569,mcf,1199000,1
+p6,4.613234,mcf,1199000,1
+p6,4.535190,mcf,1199000,1
+p6,6.839292,milc,2533000,0
+p6,6.754672,milc,2533000,0
+p6,6.827511,milc,2533000,0
+p6,5.988219,milc,2133000,0
+p6,6.059185,milc,2133000,0
+p6,6.021989,milc,2133000,0
+p6,5.233429,milc,1733000,0
+p6,5.274233,milc,1733000,0
+p6,5.174282,milc,1733000,0
+p6,4.418105,milc,1199000,0
+p6,4.466595,milc,1199000,0
+p6,4.567598,milc,1199000,0
+p6,6.727271,milc,2533000,1
+p6,6.799199,milc,2533000,1
+p6,6.858397,milc,2533000,1
+p6,5.974359,milc,2133000,1
+p6,6.056508,milc,2133000,1
+p6,5.971081,milc,2133000,1
+p6,5.190454,milc,1733000,1
+p6,5.240552,milc,1733000,1
+p6,5.242165,milc,1733000,1
+p6,4.468187,milc,1199000,1
+p6,4.410457,milc,1199000,1
+p6,4.413698,milc,1199000,1
+p6,6.787332,namd,2533000,0
+p6,6.809240,namd,2533000,0
+p6,6.818783,namd,2533000,0
+p6,6.038154,namd,2133000,0
+p6,5.992598,namd,2133000,0
+p6,6.072707,namd,2133000,0
+p6,5.236790,namd,1733000,0
+p6,5.232343,namd,1733000,0
+p6,5.171578,namd,1733000,0
+p6,4.438258,namd,1199000,0
+p6,4.459942,namd,1199000,0
+p6,4.471555,namd,1199000,0
+p6,6.647503,namd,2533000,1
+p6,6.580400,namd,2533000,1
+p6,6.572328,namd,2533000,1
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/lme4/testdata/mastitis.rda
===================================================================
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Property changes on: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/lme4/testdata/mastitis.rda
___________________________________________________________________
Added: svn:mime-type
   + application/octet-stream

Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/lme4/testdata/gotway_hessianfly.rda
===================================================================
Cannot display: file marked as a binary type.
svn:mime-type = application/octet-stream

Property changes on: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/lme4/testdata/gotway_hessianfly.rda
___________________________________________________________________
Added: svn:mime-type
   + application/octet-stream

Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/lme4/testdata/sbTobb.Rdata
===================================================================
Cannot display: file marked as a binary type.
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Property changes on: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/lme4/testdata/sbTobb.Rdata
___________________________________________________________________
Added: svn:mime-type
   + application/octet-stream

Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/lme4/testdata/trees513.RData
===================================================================
Cannot display: file marked as a binary type.
svn:mime-type = application/octet-stream

Property changes on: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/lme4/testdata/trees513.RData
___________________________________________________________________
Added: svn:mime-type
   + application/octet-stream

Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/lme4/testdata/culcita_dat.RData
===================================================================
Cannot display: file marked as a binary type.
svn:mime-type = application/octet-stream

Property changes on: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/lme4/testdata/culcita_dat.RData
___________________________________________________________________
Added: svn:mime-type
   + application/octet-stream

Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/lme4/testdata/rankMatrix.rds
===================================================================
Cannot display: file marked as a binary type.
svn:mime-type = application/octet-stream

Property changes on: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/lme4/testdata/rankMatrix.rds
___________________________________________________________________
Added: svn:mime-type
   + application/octet-stream

Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/lme4/testdata/harmel_density.R
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/lme4/testdata/harmel_density.R	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/lme4/testdata/harmel_density.R	(revision 3761)
@@ -0,0 +1,10 @@
+hsb <- read.csv('https://raw.githubusercontent.com/rnorouzian/e/master/hsb.csv')
+source("strip_env.R")
+library(lme4)
+library(lattice)
+
+m31 <- lmer(math ~ ses*meanses + (ses | sch.id), data = hsb)
+p <-  strip_profile(profile(m31))
+densityplot(p)
+saveRDS(p, file="harmel_profile.rds", version=2)
+
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/lme4/testdata/fakesim.RData
===================================================================
Cannot display: file marked as a binary type.
svn:mime-type = application/octet-stream

Property changes on: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/lme4/testdata/fakesim.RData
___________________________________________________________________
Added: svn:mime-type
   + application/octet-stream

Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/lme4/testdata/dataEx_Glmer.txt
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/lme4/testdata/dataEx_Glmer.txt	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/lme4/testdata/dataEx_Glmer.txt	(revision 3761)
@@ -0,0 +1,181 @@
+Obs    patid cycle dose DLT
+1       1     1  4.1   0
+2       2     1  4.8   0
+3       3     1  5.3   0
+4       4     1  5.7   0
+5       5     1  6.0   1
+6       6     1  5.7   1
+7       7     1  5.7   0
+8       8     1  5.3   0
+9       9     1  5.3   0
+10     10     1  5.7   0
+11     11     1  5.3   0
+12     12     1  5.3   0
+13     13     1  5.3   0
+14     14     1  5.3   0
+15     15     1  5.7   0
+16     16     1  5.3   0
+17     17     1  5.3   0
+18     18     1  5.3   0
+19     19     1  5.3   0
+20     20     1  5.7   0
+21     21     1  5.7   1
+22     22     1  5.7   1
+23     23     1  5.7   0
+24     24     1  5.3   0
+25     25     1  5.3   0
+26     26     1  5.3   0
+27     27     1  5.3   1
+28     28     1  5.7   0
+29     29     1  5.7   1
+30     30     1  5.7   0
+31      1     2  4.1   0
+32      2     2  4.8   0
+33      3     2  5.3   0
+34      4     2  5.7   0
+35      5     2  6.0   0
+36      6     2  5.7   0
+37      7     2  5.7   1
+38      8     2  5.3   0
+39      9     2  5.3   0
+40     10     2  5.7   0
+41     11     2  5.3   0
+42     12     2  5.3   0
+43     13     2  5.3   0
+44     14     2  5.3   0
+45     15     2  5.7   0
+46     16     2  5.3   0
+47     17     2  5.3   0
+48     18     2  5.3   0
+49     19     2  5.3   0
+50     20     2  5.7   0
+51     21     2  5.7   0
+52     22     2  5.7   0
+53     23     2  5.7   1
+54     24     2  5.3   0
+55     25     2  5.3   0
+56     26     2  5.3   0
+57     27     2  5.3   0
+58     28     2  5.7   0
+59     29     2  5.7   0
+60     30     2  5.7   1
+61      1     3  4.1   0
+62      2     3  4.8   0
+63      3     3  5.3   0
+64      4     3  5.7   0
+65      5     3  6.0   1
+66      6     3  5.7   1
+67      7     3  5.7   1
+68      8     3  5.3   0
+69      9     3  5.3   0
+70     10     3  5.7   0
+71     11     3  5.3   0
+72     12     3  5.3   0
+73     13     3  5.3   0
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+76     16     3  5.3   0
+77     17     3  5.3   0
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+79     19     3  5.3   1
+80     20     3  5.7   0
+81     21     3  5.7   0
+82     22     3  5.7   0
+83     23     3  5.7   1
+84     24     3  5.3   0
+85     25     3  5.3   0
+86     26     3  5.3   1
+87     27     3  5.3   0
+88     28     3  5.7   0
+89     29     3  5.7   0
+90     30     3  5.7   1
+91      1     4  4.1   0
+92      2     4  4.8   0
+93      3     4  5.3   0
+94      4     4  5.7   0
+95      5     4  6.0   0
+96      6     4  5.7   0
+97      7     4  5.7   0
+98      8     4  5.3   0
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+114    24     4  5.3   0
+115    25     4  5.3   0
+116    26     4  5.3   0
+117    27     4  5.3   0
+118    28     4  5.7   0
+119    29     4  5.7   0
+120    30     4  5.7   0
+121     1     5  4.1   0
+122     2     5  4.8   0
+123     3     5  5.3   0
+124     4     5  5.7   0
+125     5     5  6.0   0
+126     6     5  5.7   1
+127     7     5  5.7   0
+128     8     5  5.3   1
+129     9     5  5.3   0
+130    10     5  5.7   0
+131    11     5  5.3   0
+132    12     5  5.3   0
+133    13     5  5.3   1
+134    14     5  5.3   0
+135    15     5  5.7   0
+136    16     5  5.3   0
+137    17     5  5.3   0
+138    18     5  5.3   0
+139    19     5  5.3   0
+140    20     5  5.7   0
+141    21     5  5.7   1
+142    22     5  5.7   0
+143    23     5  5.7   0
+144    24     5  5.3   0
+145    25     5  5.3   0
+146    26     5  5.3   0
+147    27     5  5.3   0
+148    28     5  5.7   0
+149    29     5  5.7   0
+150    30     5  5.7   0
+151     1     6  4.1   0
+152     2     6  4.8   0
+153     3     6  5.3   0
+154     4     6  5.7   1
+155     5     6  6.0   1
+156     6     6  5.7   0
+157     7     6  5.7   0
+158     8     6  5.3   0
+159     9     6  5.3   0
+160    10     6  5.7   1
+161    11     6  5.3   0
+162    12     6  5.3   0
+163    13     6  5.3   0
+164    14     6  5.3   0
+165    15     6  5.7   0
+166    16     6  5.3   0
+167    17     6  5.3   0
+168    18     6  5.3   0
+169    19     6  5.3   0
+170    20     6  5.7   1
+171    21     6  5.7   1
+172    22     6  5.7   0
+173    23     6  5.7   0
+174    24     6  5.3   0
+175    25     6  5.3   0
+176    26     6  5.3   1
+177    27     6  5.3   0
+178    28     6  5.7   0
+179    29     6  5.7   1
+180    30     6  5.7   0
\ No newline at end of file
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/lme4/testdata/trees513.R
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/lme4/testdata/trees513.R	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/lme4/testdata/trees513.R	(revision 3761)
@@ -0,0 +1,9 @@
+### How to generate the  trees513.RData, needed in ../../tests/HSAURtrees.R:
+
+data("trees513", package = "multcomp")
+trees513A <- droplevels(subset(trees513, !species %in%
+			       c("fir", "ash/maple/elm/lime", "softwood (other)")))
+levels(trees513A$species)[nlevels(trees513A$species)] <- "hardwood"
+trees513B <- droplevels(subset(trees513,
+			       !species %in% c("fir", "softwood (other)")))
+save("trees513A", "trees513B", file="trees513.RData")
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/lme4/testdata/colonizer_rand.rda
===================================================================
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___________________________________________________________________
Added: svn:mime-type
   + application/octet-stream

Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/lme4/testdata/polytomous_vcov_ex.RData
===================================================================
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___________________________________________________________________
Added: svn:mime-type
   + application/octet-stream

Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/lme4/R/sysdata.rdx
===================================================================
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___________________________________________________________________
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   + application/octet-stream

Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/lme4/R/lme4.rdb
===================================================================
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___________________________________________________________________
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   + application/octet-stream

Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/lme4/R/lme4.rdx
===================================================================
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___________________________________________________________________
Added: svn:mime-type
   + application/octet-stream

Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/lme4/R/sysdata.rdb
===================================================================
Cannot display: file marked as a binary type.
svn:mime-type = application/octet-stream

Property changes on: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/lme4/R/sysdata.rdb
___________________________________________________________________
Added: svn:mime-type
   + application/octet-stream

Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/lme4/R/lme4
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/lme4/R/lme4	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/lme4/R/lme4	(revision 3761)
@@ -0,0 +1,27 @@
+#  File share/R/nspackloader.R
+#  Part of the R package, https://www.R-project.org
+#
+#  Copyright (C) 1995-2012 The R Core Team
+#
+#  This program is free software; you can redistribute it and/or modify
+#  it under the terms of the GNU General Public License as published by
+#  the Free Software Foundation; either version 2 of the License, or
+#  (at your option) any later version.
+#
+#  This program is distributed in the hope that it will be useful,
+#  but WITHOUT ANY WARRANTY; without even the implied warranty of
+#  MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
+#  GNU General Public License for more details.
+#
+#  A copy of the GNU General Public License is available at
+#  https://www.r-project.org/Licenses/
+
+local({
+    info <- loadingNamespaceInfo()
+    pkg <- info$pkgname
+    ns <- .getNamespace(as.name(pkg))
+    if (is.null(ns))
+        stop("cannot find namespace environment for ", pkg, domain = NA);
+    dbbase <- file.path(info$libname, pkg, "R", pkg)
+    lazyLoad(dbbase, ns, filter = function(n) n != ".__NAMESPACE__.")
+})
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/examples/DT-click/server.R
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/examples/DT-click/server.R	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/examples/DT-click/server.R	(revision 3761)
@@ -0,0 +1,29 @@
+library(shiny)
+library(DT)
+
+shinyServer(function(input, output, session) {
+
+  # add CSS style 'cursor: pointer' to the 0-th column (i.e. row names)
+  output$x1 = DT::renderDataTable({
+    datatable(
+      cars, selection = 'none', class = 'cell-border strip hover'
+    ) %>% formatStyle(0, cursor = 'pointer')
+  })
+
+  observeEvent(input$x1_cell_clicked, {
+    info = input$x1_cell_clicked
+    # do nothing if not clicked yet, or the clicked cell is not in the 1st column
+    if (is.null(info$value) || info$col != 0) return()
+    updateTabsetPanel(session, 'x0', selected = 'Plot')
+    updateTextInput(session, 'x2', value = info$value)
+  })
+
+  # highlight the point of the selected cell
+  output$x3 = renderPlot({
+    par(mar = c(4, 4, 1, .1))
+    plot(cars)
+    id = input$x2
+    if (id != '') points(cars[id, , drop = FALSE], pch = 19, cex = 2)
+  })
+
+})
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/examples/DT-click/Readme.md
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/examples/DT-click/Readme.md	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/examples/DT-click/Readme.md	(revision 3761)
@@ -0,0 +1,5 @@
+This example demonstrates the interaction with table cells. You can click on the
+row ID's, and you will be navigated to the `Plot` tab. The text input there will
+get the value of the clicked cell, and the plot will be updated accordingly.
+
+**DT** (>= 0.1.26) is required to run this example.
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/examples/DT-click/ui.R
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/examples/DT-click/ui.R	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/examples/DT-click/ui.R	(revision 3761)
@@ -0,0 +1,11 @@
+library(shiny)
+
+navbarPage(
+
+  title = 'Interaction with Table Cells', id = 'x0',
+
+  tabPanel('Table', DT::dataTableOutput('x1')),
+
+  tabPanel('Plot', textInput('x2', 'Row ID'), plotOutput('x3'))
+
+)
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/examples/DT-click/rsconnect/shinyapps.io/yihui/DT-click.dcf
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/examples/DT-click/rsconnect/shinyapps.io/yihui/DT-click.dcf	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/examples/DT-click/rsconnect/shinyapps.io/yihui/DT-click.dcf	(revision 3761)
@@ -0,0 +1,9 @@
+name: DT-click
+account: yihui
+server: shinyapps.io
+appId: 49537
+bundleId: 519178
+url: https://yihui.shinyapps.io/DT-click/
+when: 1469808742.23965
+asMultiple: FALSE
+asStatic: FALSE
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/examples/DT-click/DESCRIPTION
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/examples/DT-click/DESCRIPTION	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/examples/DT-click/DESCRIPTION	(revision 3761)
@@ -0,0 +1,6 @@
+Title: Interaction with Table Cells
+Author: Yihui Xie
+AuthorUrl: http://www.rstudio.com
+License: MIT
+DisplayMode: Showcase
+Type: Shiny
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/examples/DT-edit/Readme.md
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/examples/DT-edit/Readme.md	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/examples/DT-edit/Readme.md	(revision 3761)
@@ -0,0 +1,5 @@
+These examples demonstrates the feature of editing tables, which can be enabled by the argument `editable`. Double-click a cell to edit its value. In the server-side processing mode, please note that you have to use `replaceData()` to update the data in the server logic.
+
+**DT** (>= 0.6) is required to run this example.
+
+You may also see other (much fancier) versions of editors created by Jiena Gu, e.g. https://github.com/jienagu/DT-Editor.
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/examples/DT-edit/app.R
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/examples/DT-edit/app.R	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/examples/DT-edit/app.R	(revision 3761)
@@ -0,0 +1,95 @@
+library(shiny)
+library(DT)
+
+dt_output = function(title, id) {
+  fluidRow(column(
+    12, h1(paste0('Table ', sub('.*?([0-9]+)$', '\\1', id), ': ', title)),
+    hr(), DTOutput(id)
+  ))
+}
+render_dt = function(data, editable = 'cell', server = TRUE, ...) {
+  renderDT(data, selection = 'none', server = server, editable = editable, ...)
+}
+
+shinyApp(
+  ui = fluidPage(
+    title = 'Double-click to edit table cells',
+
+    dt_output('client-side processing (editable = "cell")', 'x1'),
+    dt_output('client-side processing (editable = "row")', 'x2'),
+    dt_output('client-side processing (editable = "column")', 'x3'),
+    dt_output('client-side processing (editable = "all")', 'x4'),
+
+    dt_output('server-side processing (editable = "cell")', 'x5'),
+    dt_output('server-side processing (editable = "row")', 'x6'),
+    dt_output('server-side processing (editable = "column")', 'x7'),
+    dt_output('server-side processing (editable = "all")', 'x8'),
+
+    dt_output('server-side processing (no row names)', 'x9'),
+    dt_output('edit rows but disable certain columns (editable = list(target = "row", disable = list(columns = c(2, 4, 5))))', 'x10')
+  ),
+
+  server = function(input, output, session) {
+    d1 = iris
+    d1$Date = Sys.time() + seq_len(nrow(d1))
+    d10 = d9 = d8 = d7 = d6 = d5 = d4 = d3 = d2 = d1
+
+    options(DT.options = list(pageLength = 5))
+
+    # client-side processing
+    output$x1 = render_dt(d1, 'cell', FALSE)
+    output$x2 = render_dt(d2, 'row', FALSE)
+    output$x3 = render_dt(d3, 'column', FALSE)
+    output$x4 = render_dt(d4, 'all', FALSE)
+
+    observe(str(input$x1_cell_edit))
+    observe(str(input$x2_cell_edit))
+    observe(str(input$x3_cell_edit))
+    observe(str(input$x4_cell_edit))
+
+    # server-side processing
+    output$x5 = render_dt(d5, 'cell')
+    output$x6 = render_dt(d6, 'row')
+    output$x7 = render_dt(d7, 'column')
+    output$x8 = render_dt(d8, 'all')
+
+    output$x9 = render_dt(d9, 'cell', rownames = FALSE)
+    output$x10 = render_dt(d10, list(target = 'row', disable = list(columns = c(2, 4, 5))))
+
+    # edit a single cell
+    proxy5 = dataTableProxy('x5')
+    observeEvent(input$x5_cell_edit, {
+      info = input$x5_cell_edit
+      str(info)  # check what info looks like (a data frame of 3 columns)
+      d5 <<- editData(d5, info)
+      replaceData(proxy5, d5, resetPaging = FALSE)  # important
+      # the above steps can be merged into a single editData() call; see examples below
+    })
+
+    # edit a row
+    observeEvent(input$x6_cell_edit, {
+      d6 <<- editData(d6, input$x6_cell_edit, 'x6')
+    })
+
+    # edit a column
+    observeEvent(input$x7_cell_edit, {
+      d7 <<- editData(d7, input$x7_cell_edit, 'x7')
+    })
+
+    # edit all cells
+    observeEvent(input$x8_cell_edit, {
+      d8 <<- editData(d8, input$x8_cell_edit, 'x8')
+    })
+
+    # when the table doesn't contain row names
+    observeEvent(input$x9_cell_edit, {
+      d9 <<- editData(d9, input$x9_cell_edit, 'x9', rownames = FALSE)
+    })
+
+    # edit rows but disable columns 2, 4, 5
+    observeEvent(input$x10_cell_edit, {
+      d10 <<- editData(d10, input$x10_cell_edit, 'x10')
+    })
+
+  }
+)
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/examples/DT-edit/DESCRIPTION
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/examples/DT-edit/DESCRIPTION	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/examples/DT-edit/DESCRIPTION	(revision 3761)
@@ -0,0 +1,6 @@
+Title: Edit Tables
+Author: Yihui Xie
+AuthorUrl: https://yihui.org
+License: MIT
+DisplayMode: Showcase
+Type: Shiny
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/examples/DT-filter/Readme.md
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/examples/DT-filter/Readme.md	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/examples/DT-filter/Readme.md	(revision 3761)
@@ -0,0 +1 @@
+This app shows how column filters provided by the **DT** package work in shiny. Different types of columns are presented in the table: character (`name`), numeric (`mpg` and `hp`), factor (`am`), and date (`date`).
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/examples/DT-filter/ui.R
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/examples/DT-filter/ui.R	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/examples/DT-filter/ui.R	(revision 3761)
@@ -0,0 +1,8 @@
+library(shiny)
+
+shinyUI(fluidPage(
+  title = 'Column Filters on the Server Side',
+  fluidRow(
+    DT::dataTableOutput('tbl')
+  )
+))
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/examples/DT-filter/rsconnect/shinyapps.io/yihui/DT-filter.dcf
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/examples/DT-filter/rsconnect/shinyapps.io/yihui/DT-filter.dcf	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/examples/DT-filter/rsconnect/shinyapps.io/yihui/DT-filter.dcf	(revision 3761)
@@ -0,0 +1,9 @@
+name: DT-filter
+account: yihui
+server: shinyapps.io
+appId: 36229
+bundleId: 519181
+url: https://yihui.shinyapps.io/DT-filter/
+when: 1469808832.61345
+asMultiple: FALSE
+asStatic: FALSE
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/examples/DT-filter/DESCRIPTION
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/examples/DT-filter/DESCRIPTION	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/examples/DT-filter/DESCRIPTION	(revision 3761)
@@ -0,0 +1,6 @@
+Title: Column Filters on the Server Side
+Author: Yihui Xie
+AuthorUrl: http://www.rstudio.com
+License: MIT
+DisplayMode: Showcase
+Type: Shiny
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/examples/DT-filter/server.R
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/examples/DT-filter/server.R	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/examples/DT-filter/server.R	(revision 3761)
@@ -0,0 +1,17 @@
+library(shiny)
+library(DT)
+
+shinyServer(function(input, output, session) {
+
+  mtcars2 = data.frame(
+    name = rownames(mtcars), mtcars[, c('mpg', 'hp')],
+    stringsAsFactors = FALSE
+  )
+  mtcars2$am = factor(mtcars$am, labels = c('automatic', 'manual'))
+  mtcars2$date = Sys.Date() + seq_len(nrow(mtcars))
+
+  output$tbl = DT::renderDataTable(
+    mtcars2, filter = 'top', server = TRUE, rownames = FALSE,
+    options = list(autoWidth = TRUE)
+  )
+})
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/examples/DT-scroller/Readme.md
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/examples/DT-scroller/Readme.md	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/examples/DT-scroller/Readme.md	(revision 3761)
@@ -0,0 +1 @@
+This application demonstrates the Scroller extension of the DataTables library. The data was written in JSON to a file `large.txt` under `www`, and loaded via the `ajax` option of DataTables. As you scroll down the table, more rows will be displayed.
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/examples/DT-scroller/ui.R
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/examples/DT-scroller/ui.R	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/examples/DT-scroller/ui.R	(revision 3761)
@@ -0,0 +1,10 @@
+library(shiny)
+
+shinyUI(fluidPage(
+  title = 'Using the Scroller Extension in DataTables',
+  fluidRow(
+    column(2),
+    column(8, DT::dataTableOutput('tbl')),
+    column(2)
+  )
+))
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/examples/DT-scroller/DESCRIPTION
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/examples/DT-scroller/DESCRIPTION	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/examples/DT-scroller/DESCRIPTION	(revision 3761)
@@ -0,0 +1,6 @@
+Title: Using the Scroller Extension in DataTables
+Author: Yihui Xie
+AuthorUrl: http://www.rstudio.com
+License: MIT
+DisplayMode: Showcase
+Type: Shiny
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/examples/DT-scroller/server.R
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/examples/DT-scroller/server.R	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/examples/DT-scroller/server.R	(revision 3761)
@@ -0,0 +1,26 @@
+library(shiny)
+
+if (!file_test('-d', 'www')) dir.create('www')
+
+# prepare the Ajax data source
+writeLines(
+  jsonlite::toJSON(list(aaData = matrix(1:4000, ncol = 4))),
+  'www/large.txt'
+)
+
+shinyServer(function(input, output) {
+  # an empty matrix to generate the table container
+  sketch = matrix(ncol = 4, dimnames = list(NULL, head(letters, 4)))
+  # render the widget
+  output$tbl = DT::renderDataTable(
+    sketch, extensions = 'Scroller', server = FALSE,
+    options = list(
+      ajax = 'large.txt',
+      deferRender = TRUE,
+      dom = 'frti',
+      scroller = TRUE,
+      scrollY = 200,
+      scrollCollapse = TRUE
+    )
+  )
+})
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/examples/DT-selection/Readme.md
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/examples/DT-selection/Readme.md	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/examples/DT-selection/Readme.md	(revision 3761)
@@ -0,0 +1,9 @@
+This example demonstrates row, column, and cell selections in **DT**.
+
+All types of selections work in both client-side and server-side processing 
+modes. The selection mode can be `none`, `single`, or `multiple`. You may select
+rows, columns, cells, or both rows and columns, and obtain the row/column/cell 
+indices from Shiny accordingly. See the [**DT**
+website](https://rstudio.github.io/DT/shiny.html) for more information.
+
+**DT** (>= 0.1.26) is required to run this example.
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/examples/DT-selection/ui.R
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/examples/DT-selection/ui.R	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/examples/DT-selection/ui.R	(revision 3761)
@@ -0,0 +1,187 @@
+library(shiny)
+
+navbarPage(
+
+  title = 'DT Selection',
+
+  tabPanel(
+    'Row',
+    fluidRow(
+      column(
+        6, h1('Client-side / Single selection'), hr(),
+        DT::dataTableOutput('x11'),
+        verbatimTextOutput('y11')
+      ),
+      column(
+        6, h1('Client-side / Multiple selection'), hr(),
+        DT::dataTableOutput('x12'),
+        verbatimTextOutput('y12')
+      )
+    ),
+    fluidRow(
+      column(
+        6, h1('Server-side / Single selection'), hr(),
+        DT::dataTableOutput('x13'),
+        verbatimTextOutput('y13')
+      ),
+      column(
+        6, h1('Server-side / Multiple selection'), hr(),
+        DT::dataTableOutput('x14'),
+        verbatimTextOutput('y14')
+      )
+    ),
+    fluidRow(
+      column(
+        6, h1('Client-side / Pre-selection'), hr(),
+        DT::dataTableOutput('x15'),
+        verbatimTextOutput('y15')
+      ),
+      column(
+        6, h1('Server-side / Pre-selection'), hr(),
+        DT::dataTableOutput('x16'),
+        verbatimTextOutput('y16')
+      )
+    )
+  ),
+
+  tabPanel(
+    'Column',
+    fluidRow(
+      column(
+        6, h1('Client-side / Single selection'), hr(),
+        DT::dataTableOutput('x21'),
+        verbatimTextOutput('y21')
+      ),
+      column(
+        6, h1('Client-side / Multiple selection'), hr(),
+        DT::dataTableOutput('x22'),
+        verbatimTextOutput('y22')
+      )
+    ),
+    fluidRow(
+      column(
+        6, h1('Server-side / Single selection'), hr(),
+        DT::dataTableOutput('x23'),
+        verbatimTextOutput('y23')
+      ),
+      column(
+        6, h1('Server-side / Multiple selection'), hr(),
+        DT::dataTableOutput('x24'),
+        verbatimTextOutput('y24')
+      )
+    ),
+    fluidRow(
+      column(
+        6, h1('Client-side / Pre-selection'), hr(),
+        DT::dataTableOutput('x25'),
+        verbatimTextOutput('y25')
+      ),
+      column(
+        6, h1('Server-side / Pre-selection'), hr(),
+        DT::dataTableOutput('x26'),
+        verbatimTextOutput('y26')
+      )
+    )
+  ),
+
+  tabPanel(
+    'Cell',
+    fluidRow(
+      column(
+        6, h1('Client-side / Single selection'), hr(),
+        DT::dataTableOutput('x31'),
+        verbatimTextOutput('y31')
+      ),
+      column(
+        6, h1('Client-side / Multiple selection'), hr(),
+        DT::dataTableOutput('x32'),
+        verbatimTextOutput('y32')
+      )
+    ),
+    fluidRow(
+      column(
+        6, h1('Server-side / Single selection'), hr(),
+        DT::dataTableOutput('x33'),
+        verbatimTextOutput('y33')
+      ),
+      column(
+        6, h1('Server-side / Multiple selection'), hr(),
+        DT::dataTableOutput('x34'),
+        verbatimTextOutput('y34')
+      )
+    ),
+    fluidRow(
+      column(
+        6, h1('Client-side / Pre-selection'), hr(),
+        DT::dataTableOutput('x35'),
+        verbatimTextOutput('y35')
+      ),
+      column(
+        6, h1('Server-side / Pre-selection'), hr(),
+        DT::dataTableOutput('x36'),
+        verbatimTextOutput('y36')
+      )
+    )
+  ),
+
+  tabPanel(
+    'Row+Column',
+    fluidRow(
+      column(
+        6, h1('Client-side / Single selection'), hr(),
+        DT::dataTableOutput('x41'),
+        verbatimTextOutput('y41')
+      ),
+      column(
+        6, h1('Client-side / Multiple selection'), hr(),
+        DT::dataTableOutput('x42'),
+        verbatimTextOutput('y42')
+      )
+    ),
+    fluidRow(
+      column(
+        6, h1('Server-side / Single selection'), hr(),
+        DT::dataTableOutput('x43'),
+        verbatimTextOutput('y43')
+      ),
+      column(
+        6, h1('Server-side / Multiple selection'), hr(),
+        DT::dataTableOutput('x44'),
+        verbatimTextOutput('y44')
+      )
+    ),
+    fluidRow(
+      column(
+        6, h1('Client-side / Pre-selection'), hr(),
+        DT::dataTableOutput('x45'),
+        verbatimTextOutput('y45')
+      ),
+      column(
+        6, h1('Server-side / Pre-selection'), hr(),
+        DT::dataTableOutput('x46'),
+        verbatimTextOutput('y46')
+      )
+    ),
+    fluidRow(
+      column(
+        6, h1('Client-side / Custom Table Container'), hr(),
+        DT::dataTableOutput('x47'),
+        verbatimTextOutput('y47')
+      ),
+      column(
+        6, h1('Server-side / Custom Table Container'), hr(),
+        DT::dataTableOutput('x48'),
+        verbatimTextOutput('y48')
+      )
+    )
+  ),
+
+  tabPanel(
+    'None',
+    fluidRow(
+      column(6, h1('Client-side'), hr(), DT::dataTableOutput('x51')),
+      column(6, h1('Server-side'), hr(), DT::dataTableOutput('x52'))
+    )
+  )
+
+)
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/examples/DT-selection/DESCRIPTION
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/examples/DT-selection/DESCRIPTION	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/examples/DT-selection/DESCRIPTION	(revision 3761)
@@ -0,0 +1,6 @@
+Title: Row/Column/Cell Selections
+Author: Yihui Xie
+AuthorUrl: http://www.rstudio.com
+License: MIT
+DisplayMode: Showcase
+Type: Shiny
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/examples/DT-selection/server.R
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/examples/DT-selection/server.R	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/examples/DT-selection/server.R	(revision 3761)
@@ -0,0 +1,184 @@
+library(shiny)
+library(DT)
+
+shinyServer(function(input, output, session) {
+
+  df = iris[, 1:3]
+  options(DT.options = list(pageLength = 5))
+
+  # row selection
+  output$x11 = DT::renderDataTable(df, server = FALSE, selection = 'single')
+  output$y11 = renderPrint(input$x11_rows_selected)
+
+  output$x12 = DT::renderDataTable(df, server = FALSE)
+  output$y12 = renderPrint(input$x12_rows_selected)
+
+  output$x13 = DT::renderDataTable(df, selection = 'single')
+  output$y13 = renderPrint(input$x13_rows_selected)
+
+  output$x14 = DT::renderDataTable(df)
+  output$y14 = renderPrint(input$x14_rows_selected)
+
+  output$x15 = DT::renderDataTable(
+    df, server = FALSE, selection = list(selected = c(1, 3, 4, 6, 9), selectable = -(3:5))
+  )
+  output$y15 = renderPrint(input$x15_rows_selected)
+
+  output$x16 = DT::renderDataTable(
+    df, selection = list(selected = c(1, 3, 4, 6, 9), selectable = -(3:5))
+  )
+  output$y16 = renderPrint(input$x16_rows_selected)
+
+  # column selection
+  output$x21 = DT::renderDataTable(
+    df, server = FALSE, selection = list(mode = 'single', target = 'column')
+  )
+  output$y21 = renderPrint(input$x21_columns_selected)
+
+  output$x22 = DT::renderDataTable(
+    df, server = FALSE, selection = list(target = 'column')
+  )
+  output$y22 = renderPrint(input$x22_columns_selected)
+
+  output$x23 = DT::renderDataTable(
+    df, selection = list(mode = 'single', target = 'column')
+  )
+  output$y23 = renderPrint(input$x23_columns_selected)
+
+  output$x24 = DT::renderDataTable(df, selection = list(target = 'column'))
+  output$y24 = renderPrint(input$x24_columns_selected)
+
+  output$x25 = DT::renderDataTable(
+    df, server = FALSE, selection = list(target = 'column', selected = c(1, 3, 6), selectable = -(3:5))
+  )
+  output$y25 = renderPrint(input$x25_columns_selected)
+
+  output$x26 = DT::renderDataTable(
+    df, selection = list(target = 'column', selected = c(1, 3, 6))
+  )
+  output$y26 = renderPrint(input$x26_columns_selected)
+
+  # cell selection
+  output$x31 = DT::renderDataTable(
+    df, server = FALSE, selection = list(mode = 'single', target = 'cell')
+  )
+  output$y31 = renderPrint(input$x31_cells_selected)
+
+  output$x32 = DT::renderDataTable(
+    df, server = FALSE, selection = list(target = 'cell')
+  )
+  output$y32 = renderPrint(input$x32_cells_selected)
+
+  output$x33 = DT::renderDataTable(
+    df, selection = list(mode = 'single', target = 'cell')
+  )
+  output$y33 = renderPrint(input$x33_cells_selected)
+
+  output$x34 = DT::renderDataTable(df, selection = list(target = 'cell'))
+  output$y34 = renderPrint(input$x34_cells_selected)
+
+  output$x35 = DT::renderDataTable(
+    df,
+    server = FALSE,
+    selection = list(target = 'cell', selected = cbind(
+      c(1, 3, 4, 9), c(3, 2, 1, 2)
+    ), selectable = -cbind(1:5, 1))
+  )
+  output$y35 = renderPrint(input$x35_cells_selected)
+
+  output$x36 = DT::renderDataTable(
+    df,
+    selection = list(target = 'cell', selected = cbind(
+      c(1, 3, 4, 9), c(3, 2, 1, 2)
+    ), selectable = -cbind(1:5, 1))
+  )
+  output$y36 = renderPrint(input$x36_cells_selected)
+
+  # row+column selection
+  print_rows_cols = function(id) {
+    cat('Rows selected:\n')
+    print(input[[paste0(id, '_rows_selected')]])
+    cat('Columns selected:\n')
+    print(input[[paste0(id, '_columns_selected')]])
+  }
+  output$x41 = DT::renderDataTable(
+    df, server = FALSE, selection = list(mode = 'single', target = 'row+column')
+  )
+  output$y41 = renderPrint(print_rows_cols('x41'))
+
+  output$x42 = DT::renderDataTable(
+    df, server = FALSE, selection = list(target = 'row+column')
+  )
+  output$y42 = renderPrint(print_rows_cols('x42'))
+
+  output$x43 = DT::renderDataTable(
+    df, selection = list(mode = 'single', target = 'row+column')
+  )
+  output$y43 = renderPrint(print_rows_cols('x43'))
+
+  output$x44 = DT::renderDataTable(df, selection = list(target = 'row+column'))
+  output$y44 = renderPrint(print_rows_cols('x44'))
+
+  output$x45 = DT::renderDataTable(
+    df,
+    server = FALSE,
+    selection = list(target = 'row+column', selected = list(
+      rows = c(1, 3, 4, 9), cols = c(3, 2)
+    ), selectable = list(
+      rows = -3, cols = 1:5
+    ))
+  )
+  output$y45 = renderPrint(print_rows_cols('x45'))
+
+  output$x46 = DT::renderDataTable(
+    df,
+    selection = list(target = 'row+column', selected = list(
+      rows = c(1, 3, 4, 9), cols = c(3, 2)
+    ), selectable = list(
+      rows = -3, cols = 1:5
+    ))
+  )
+  output$y46 = renderPrint(print_rows_cols('x46'))
+
+  sketch = htmltools::withTags(table(
+    class = 'display',
+    thead(
+      tr(
+        th(rowspan = 2, ''),
+        th(rowspan = 2, 'Species'),
+        th(colspan = 2, 'Sepal'),
+        th(colspan = 2, 'Petal')
+      ),
+      tr(
+        lapply(rep(c('Length', 'Width'), 2), th)
+      )
+    ),
+    tfoot(
+      tr(
+        th(rowspan = 2, ''),
+        th(rowspan = 2, 'Species'),
+        lapply(rep(c('Length', 'Width'), 2), th)
+      ),
+      tr(
+        th(colspan = 2, 'Sepal'),
+        th(colspan = 2, 'Petal')
+      )
+    )
+  ))
+  output$x47 = DT::renderDataTable(
+    iris, container = sketch, server = FALSE,
+    selection = list(target = 'row+column')
+  )
+  output$y47 = renderPrint(print_rows_cols('x47'))
+
+  output$x48 = DT::renderDataTable(
+    iris, container = sketch,
+    selection = list(target = 'row+column')
+  )
+  output$y48 = renderPrint(print_rows_cols('x48'))
+
+  # disable selection
+  output$x51 = DT::renderDataTable(df, server = FALSE, selection = 'none')
+  output$x52 = DT::renderDataTable(df, selection = 'none')
+
+})
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/examples/DT-rows/Readme.md
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/examples/DT-rows/Readme.md	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/examples/DT-rows/Readme.md	(revision 3761)
@@ -0,0 +1,9 @@
+The top example shows a client-side table, and the indices of the selected rows 
+(`input$x1_rows_selected`) are integers.
+
+The bottom example shows a server-side table. Make sure you have included row 
+names in the table (as the first column of the table). In the case of 
+server-side processing, the row names of the selected rows are available in 
+`input$x3_rows_selected` as a character vector.
+
+**DT** (>= 0.1.26) is required to run this example.
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/examples/DT-rows/ui.R
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/examples/DT-rows/ui.R	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/examples/DT-rows/ui.R	(revision 3761)
@@ -0,0 +1,23 @@
+library(shiny)
+
+fluidPage(
+
+  title = 'Select Table Rows',
+
+  h1('A Client-side Table'),
+
+  fluidRow(
+    column(6, DT::dataTableOutput('x1')),
+    column(6, plotOutput('x2', height = 500))
+  ),
+
+  hr(),
+
+  h1('A Server-side Table'),
+
+  fluidRow(
+    column(9, DT::dataTableOutput('x3')),
+    column(3, verbatimTextOutput('x4'))
+  )
+
+)
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/examples/DT-rows/rsconnect/shinyapps.io/yihui/DT-rows.dcf
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/examples/DT-rows/rsconnect/shinyapps.io/yihui/DT-rows.dcf	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/examples/DT-rows/rsconnect/shinyapps.io/yihui/DT-rows.dcf	(revision 3761)
@@ -0,0 +1,9 @@
+name: DT-rows
+account: yihui
+server: shinyapps.io
+appId: 44234
+bundleId: 519186
+url: https://yihui.shinyapps.io/DT-rows/
+when: 1469809057.10392
+asMultiple: FALSE
+asStatic: FALSE
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/examples/DT-rows/DESCRIPTION
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/examples/DT-rows/DESCRIPTION	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/examples/DT-rows/DESCRIPTION	(revision 3761)
@@ -0,0 +1,6 @@
+Title: Row Selection
+Author: Yihui Xie
+AuthorUrl: http://www.rstudio.com
+License: MIT
+DisplayMode: Showcase
+Type: Shiny
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/examples/DT-rows/server.R
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/examples/DT-rows/server.R	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/examples/DT-rows/server.R	(revision 3761)
@@ -0,0 +1,29 @@
+library(shiny)
+library(DT)
+
+shinyServer(function(input, output, session) {
+
+  output$x1 = DT::renderDataTable(cars, server = FALSE)
+
+  # highlight selected rows in the scatterplot
+  output$x2 = renderPlot({
+    s = input$x1_rows_selected
+    par(mar = c(4, 4, 1, .1))
+    plot(cars)
+    if (length(s)) points(cars[s, , drop = FALSE], pch = 19, cex = 2)
+  })
+
+  # server-side processing
+  mtcars2 = mtcars[, 1:8]
+  output$x3 = DT::renderDataTable(mtcars2, server = TRUE)
+
+  # print the selected indices
+  output$x4 = renderPrint({
+    s = input$x3_rows_selected
+    if (length(s)) {
+      cat('These rows were selected:\n\n')
+      cat(s, sep = ', ')
+    }
+  })
+
+})
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/examples/DT-searchExact/DESCRIPTION
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/examples/DT-searchExact/DESCRIPTION	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/examples/DT-searchExact/DESCRIPTION	(revision 3761)
@@ -0,0 +1,5 @@
+Title: Search Exact Match
+Author: StÃ©phane Laurent
+License: MIT
+DisplayMode: Showcase
+Type: Shiny
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/examples/DT-searchExact/server.R
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/examples/DT-searchExact/server.R	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/examples/DT-searchExact/server.R	(revision 3761)
@@ -0,0 +1,56 @@
+library(shiny)
+library(DT)
+
+function(input, output, session) {
+
+  dat = data.frame(
+    car = c("Mazda", "Mazda RX4", "Mazda RX4 Wag", "Ford", "Mercedes"),
+    pet = c("dog", "dog", "cat", "cat", "cat")
+  )
+
+  output[["dtable1"]] = renderDT({
+
+    datatable(
+      dat, filter = "top",
+      options = list(
+        dom = "t",
+        columnDefs = list(
+          list(targets = "_all", className = "dt-center")
+        )
+      )
+    )
+
+  })
+
+  output[["dtable2"]] = renderDT({
+
+    js = c(
+      "function(settings) {",
+      "  var instance = settings.oInstance;",
+      "  var table = instance.api();",
+      "  var $inputs = instance.parent().find('.form-group input');",
+      "  $inputs.off('keyup search input').on('keyup', function() {",
+      "    var value = $(this).val();",
+      "    if(value !== '') {",
+      "      value = '^' + value + '$';",
+      "      var index = 1 + $inputs.index(this);", # add one for rownames column
+      "      var column = table.column(index);",
+      "      column.search(value, true, false).draw();",
+      "    }",
+      "  });",
+      "}"
+    )
+    datatable(
+      dat, filter = "top",
+      options = list(
+        dom = "t",
+        columnDefs = list(
+          list(targets = "_all", className = "dt-center")
+        ),
+        initComplete = JS(js)
+      )
+    )
+
+  }, server = FALSE)
+
+}
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/examples/DT-searchExact/Readme.md
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/examples/DT-searchExact/Readme.md	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/examples/DT-searchExact/Readme.md	(revision 3761)
@@ -0,0 +1,2 @@
+This is an example of the `initComplete` option. By using a JavaScript function,
+one can perform a search by exact match with the column filters.
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/examples/DT-searchExact/ui.R
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/examples/DT-searchExact/ui.R	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/examples/DT-searchExact/ui.R	(revision 3761)
@@ -0,0 +1,23 @@
+library(shiny)
+library(DT)
+
+fluidPage(
+  tags$h4(
+    "Use the column filters to perform a search in the table.",
+    "With the table at right, an exact match is performed.",
+    "Try e.g. to search 'Mazda' in the first column."
+  ),
+  br(),
+  fluidRow(
+    column(
+      width = 6,
+      tags$p("Default search:"),
+      DTOutput("dtable1")
+    ),
+    column(
+      width = 6,
+      tags$p("Search exact match:"),
+      DTOutput("dtable2")
+    )
+  )
+)
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/examples/DT-shiny/server.R
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/examples/DT-shiny/server.R	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/examples/DT-shiny/server.R	(revision 3761)
@@ -0,0 +1,7 @@
+library(shiny)
+library(DT)
+
+shinyServer(function(input, output, session) {
+  output$tbl_a = DT::renderDataTable(iris, server = FALSE)
+  output$tbl_b = DT::renderDataTable(iris)
+})
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/examples/DT-shiny/ui.R
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/examples/DT-shiny/ui.R	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/examples/DT-shiny/ui.R	(revision 3761)
@@ -0,0 +1,17 @@
+library(shiny)
+
+shinyUI(fluidPage(
+  title = 'Use the DT package in shiny',
+  h1('A Table Using Client-side Processing'),
+  fluidRow(
+    column(2),
+    column(8, DT::dataTableOutput('tbl_a')),
+    column(2)
+  ),
+  h1('A Table Using Server-side Processing'),
+  fluidRow(
+    column(2),
+    column(8, DT::dataTableOutput('tbl_b')),
+    column(2)
+  )
+))
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/examples/DT-info/rsconnect/shinyapps.io/yihui/DT-info.dcf
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/examples/DT-info/rsconnect/shinyapps.io/yihui/DT-info.dcf	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/examples/DT-info/rsconnect/shinyapps.io/yihui/DT-info.dcf	(revision 3761)
@@ -0,0 +1,9 @@
+name: DT-info
+account: yihui
+server: shinyapps.io
+appId: 34746
+bundleId: 519183
+url: https://yihui.shinyapps.io/DT-info/
+when: 1469808896.89859
+asMultiple: FALSE
+asStatic: FALSE
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/examples/DT-radio/Readme.md
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/examples/DT-radio/Readme.md	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/examples/DT-radio/Readme.md	(revision 3761)
@@ -0,0 +1,3 @@
+This example shows how to embed radio buttons in a table. The key is `escape = FALSE` since the table cell values are raw HTML that should not be escaped. The JavaScript `callback` is to make sure all rows have their ID's and the class `shiny-input-radiogroup`, so that Shiny can recognize these radio buttons after `Shiny.bindAll()`.
+
+**DT** (>= 0.1.67) is required to run this example.
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/examples/DT-radio/rsconnect/shinyapps.io/yihui/DT-radio.dcf
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/examples/DT-radio/rsconnect/shinyapps.io/yihui/DT-radio.dcf	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/examples/DT-radio/rsconnect/shinyapps.io/yihui/DT-radio.dcf	(revision 3761)
@@ -0,0 +1,9 @@
+name: DT-radio
+account: yihui
+server: shinyapps.io
+appId: 118756
+bundleId: 525706
+url: https://yihui.shinyapps.io/DT-radio/
+when: 1470521916.12562
+asMultiple: FALSE
+asStatic: FALSE
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/examples/DT-radio/app.R
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/examples/DT-radio/app.R	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/examples/DT-radio/app.R	(revision 3761)
@@ -0,0 +1,36 @@
+library(shiny)
+library(DT)
+shinyApp(
+  ui = fluidPage(
+    title = 'Radio buttons in a table',
+    DT::dataTableOutput('foo'),
+    verbatimTextOutput('sel')
+  ),
+  server = function(input, output, session) {
+    m = matrix(
+      as.character(1:5), nrow = 12, ncol = 5, byrow = TRUE,
+      dimnames = list(month.abb, LETTERS[1:5])
+    )
+    for (i in seq_len(nrow(m))) {
+      m[i, ] = sprintf(
+        '<input type="radio" name="%s" value="%s"/>',
+        month.abb[i], m[i, ]
+      )
+    }
+    m
+    output$foo = DT::renderDataTable(
+      m, escape = FALSE, selection = 'none', server = FALSE,
+      options = list(dom = 't', paging = FALSE, ordering = FALSE),
+      callback = JS("table.rows().every(function(i, tab, row) {
+          var $this = $(this.node());
+          $this.attr('id', this.data()[0]);
+          $this.addClass('shiny-input-radiogroup');
+        });
+        Shiny.unbindAll(table.table().node());
+        Shiny.bindAll(table.table().node());")
+    )
+    output$sel = renderPrint({
+      str(sapply(month.abb, function(i) input[[i]]))
+    })
+  }
+)
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/examples/DT-radio/DESCRIPTION
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/examples/DT-radio/DESCRIPTION	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/examples/DT-radio/DESCRIPTION	(revision 3761)
@@ -0,0 +1,6 @@
+Title: Radio buttons in a table
+Author: Yihui Xie
+AuthorUrl: http://www.rstudio.com
+License: MIT
+DisplayMode: Showcase
+Type: Shiny
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/examples/DT-crosstalk/plotly-persist.R
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/examples/DT-crosstalk/plotly-persist.R	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/examples/DT-crosstalk/plotly-persist.R	(revision 3761)
@@ -0,0 +1,15 @@
+library(plotly)
+library(crosstalk)
+library(DT)
+
+m <- SharedData$new(mtcars)
+bscols(
+  plot_ly(m, x = ~wt, y = ~mpg) %>%
+    add_markers(text  = row.names(mtcars)) %>%
+    config(displayModeBar = FALSE) %>%
+    layout(
+      title = "Hold shift while clicking \n markers for persistent selection",
+      margin = list(t = 60)
+    ),
+  datatable(m)
+)
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/examples/DT-reload/app.R
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/examples/DT-reload/app.R	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/examples/DT-reload/app.R	(revision 3761)
@@ -0,0 +1,31 @@
+library(shiny)
+library(DT)
+shinyApp(
+  ui = fluidPage(
+    fluidRow(
+      column(2, actionButton('refresh', 'Refresh Data', icon = icon('refresh'))),
+      column(10, DT::dataTableOutput('foo'))
+    )
+  ),
+
+  server = function(input, output, session) {
+
+    df = iris
+    n = nrow(df)
+    df$ID = seq_len(n)
+
+    loopData = reactive({
+      input$refresh
+      df$ID <<- c(df$ID[n], df$ID[-n])
+      df
+    })
+
+    output$foo = DT::renderDataTable(isolate(loopData()))
+
+    proxy = dataTableProxy('foo')
+
+    observe({
+      replaceData(proxy, loopData(), resetPaging = FALSE)
+    })
+  }
+)
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/examples/DT-updateFilters/README.md
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/examples/DT-updateFilters/README.md	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/examples/DT-updateFilters/README.md	(revision 3761)
@@ -0,0 +1 @@
+This app demonstrates how to use `updateFilters()` to update the limits on column filters after changes to the data, without re-rendering the entire table.
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/examples/DT-updateFilters/app.R
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/examples/DT-updateFilters/app.R	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/examples/DT-updateFilters/app.R	(revision 3761)
@@ -0,0 +1,50 @@
+library(shiny)
+library(DT)
+
+tbl <- data.frame(
+  int = seq(-2, 2),
+  num1 = seq(-2, 2) / 10,
+  num2 = replace(seq(-2, 2) * 10, 1, -Inf),
+  date = replace(Sys.Date() + seq(-2, 2), 1, NA),
+  dttm = round(Sys.time()) + seq(-2, 2) * 3600,
+  fct1 = factor(c("A", rep("B", 3), "C")),
+  fct2 = factor(c(rep("A", 4), "B"), levels = c("A", "B", "C")),
+  bool = c(NA, TRUE, TRUE, FALSE, FALSE),
+  chr = c("foo", "bar", "baz", "baz", "baz")
+)
+
+ui <- fluidPage(
+  sliderInput("rows", "Slice rows", 0, 5, value = c(1, 4), step = 1),
+  checkboxInput("drop_levels", "Drop unused factor levels"),
+  DTOutput("table_sliced"),
+  tags$hr(),
+  DTOutput("table_original"),
+)
+
+server <- function(input, output, session) {
+  simple_dt <- function(data, caption) {
+    datatable(data, caption = caption, filter = "top", options = list(dom = "t"))
+  }
+
+  # Render tables only once to begin with
+  output$table_sliced <- renderDT(simple_dt(tbl, caption = "Sliced data"))
+  output$table_original <- renderDT(simple_dt(tbl, caption = "Original data"))
+
+  # Slice the table based on input slider
+  tbl_slice <- reactive({
+    r1 <- input$rows[1]
+    r2 <- input$rows[2]
+    tbl <- tbl[seq(r1, r2), ]
+    if (input$drop_levels)
+      droplevels(tbl) else tbl
+  })
+
+  # Replace data and update filters without re-rendering
+  proxy <- dataTableProxy("table_sliced")
+  observeEvent(tbl_slice(), {
+    replaceData(proxy, tbl_slice())
+    updateFilters(proxy, tbl_slice())
+  })
+}
+
+shinyApp(ui, server)
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/examples/DT-updateFilters/DESCRIPTION
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/examples/DT-updateFilters/DESCRIPTION	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/examples/DT-updateFilters/DESCRIPTION	(revision 3761)
@@ -0,0 +1,3 @@
+Title: Updating filters
+DisplayMode: Showcase
+Type: Shiny
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/examples/DT-deleteRows/DESCRIPTION
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/examples/DT-deleteRows/DESCRIPTION	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/examples/DT-deleteRows/DESCRIPTION	(revision 3761)
@@ -0,0 +1,5 @@
+Title: Delete Selected Rows
+Author: StÃ©phane Laurent
+License: MIT
+DisplayMode: Showcase
+Type: Shiny
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/examples/DT-deleteRows/server.R
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/examples/DT-deleteRows/server.R	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/examples/DT-deleteRows/server.R	(revision 3761)
@@ -0,0 +1,31 @@
+library(shiny)
+library(DT)
+
+function(input, output, session) {
+
+  output[["dtable"]] = renderDT({
+
+    datatable(
+      mtcars,
+      extensions = "Buttons",
+      options = list(
+        dom = "Bfrtip",
+        columnDefs = list(
+          list(targets = "_all", className = "dt-center")
+        ),
+        buttons = list(
+          list(
+            extend = "collection",
+            text = "Delete selected rows",
+            action = JS(c(
+              "function(e, dt, node, config) {",
+              "  dt.rows('.selected').remove().draw();",
+              "}"))
+          )
+        )
+      )
+    )
+
+  }, server = FALSE)
+
+}
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/examples/DT-deleteRows/Readme.md
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/examples/DT-deleteRows/Readme.md	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/examples/DT-deleteRows/Readme.md	(revision 3761)
@@ -0,0 +1,2 @@
+This example demonstrates the use of the Buttons extension with a custom action.
+The user can delete the selected rows by clicking the button.
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/examples/DT-deleteRows/ui.R
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/examples/DT-deleteRows/ui.R	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/examples/DT-deleteRows/ui.R	(revision 3761)
@@ -0,0 +1,10 @@
+library(shiny)
+library(DT)
+
+fluidPage(
+  tags$h4(
+    "Click the button to delete the selected rows."
+  ),
+  br(),
+  DTOutput("dtable")
+)
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/examples/DT-proxy/DESCRIPTION
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/examples/DT-proxy/DESCRIPTION	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/examples/DT-proxy/DESCRIPTION	(revision 3761)
@@ -0,0 +1,6 @@
+Title: Manipulate a DataTables Instance
+Author: Yihui Xie
+AuthorUrl: http://www.rstudio.com
+License: MIT
+DisplayMode: Showcase
+Type: Shiny
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/examples/DT-proxy/server.R
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/examples/DT-proxy/server.R	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/examples/DT-proxy/server.R	(revision 3761)
@@ -0,0 +1,64 @@
+library(shiny)
+library(DT)
+
+shinyServer(function(input, output, session) {
+
+  # using server = FALSE mainly for addRow(); server = TRUE works for
+  # selectRows() and selectColumns()
+  output$foo = DT::renderDataTable(
+    iris, server = FALSE, selection = list(target = 'row+column'),
+    caption = 'Using a proxy object to manipulate the table',
+    extensions = 'ColReorder',
+    options = list(colReorder = TRUE)
+  )
+
+  proxy = dataTableProxy('foo')
+
+  observeEvent(input$select1, {
+    proxy %>% selectRows(as.numeric(input$rows))
+  })
+
+  observeEvent(input$select2, {
+    proxy %>% selectColumns(input$col)
+  })
+
+  observeEvent(input$clear1, {
+    proxy %>% selectRows(NULL)
+  })
+
+  observeEvent(input$clear2, {
+    proxy %>% selectColumns(NULL)
+  })
+
+  observeEvent(input$add, {
+    proxy %>% addRow(iris[sample(nrow(iris), 1), , drop = FALSE])
+  })
+
+  observe({
+    if (input$cap != '') proxy %>% updateCaption(input$cap)
+  })
+
+  observe({
+    if (input$hide1) proxy %>% hideCols(3, TRUE)
+  })
+  observe({
+    if (input$show1) proxy %>% showCols(1, TRUE)
+  })
+  observe({
+    if (input$hide2) proxy %>% hideCols(c(1, 2))
+  })
+  observe({
+    if (input$show2) proxy %>% showCols(c(1, 2))
+  })
+  observe({
+    if (input$resetVis) proxy %>% hideCols(NULL, TRUE)
+  })
+  observe({
+    if (input$reverse) proxy %>% colReorder(5:0)
+  })
+
+  output$info = renderPrint({
+    list(rows = input$foo_rows_selected, columns = input$foo_columns_selected)
+  })
+
+})
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/examples/DT-proxy/Readme.md
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/examples/DT-proxy/Readme.md	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/examples/DT-proxy/Readme.md	(revision 3761)
@@ -0,0 +1,4 @@
+You can pass a `dataTableProxy()` object to several methods to manipulate an
+existing table without completely re-rendering it.
+
+**DT** (>= 0.1.26) is required to run this example.
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/examples/DT-proxy/ui.R
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/examples/DT-proxy/ui.R	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/examples/DT-proxy/ui.R	(revision 3761)
@@ -0,0 +1,33 @@
+library(shiny)
+
+fluidPage(
+
+  title = 'Manipulate an Existing Table',
+
+  sidebarLayout(
+    sidebarPanel(
+      selectizeInput('rows', 'Row IDs', choices = seq_len(nrow(iris)), multiple = TRUE),
+      actionButton('select1', 'Select Rows'),
+      actionButton('clear1', 'Clear Rows'),
+      numericInput('col', 'Column ID', 1, min = 1, max = ncol(iris), step = 1),
+      actionButton('select2', 'Select Column'),
+      actionButton('clear2', 'Clear Columns'),
+      hr(),
+      actionButton('add', 'Add Row'),
+      hr(),
+      textInput('cap', 'Table Caption'),
+      hr(),
+      actionButton('show1', 'Show Only First Column'),
+      actionButton('hide1', 'Hide Only Third Columns'),
+      actionButton('hide2', 'Hide First Two Columns'),
+      actionButton('show2', 'Show First Two Columns'),
+      actionButton('resetVis', 'Show All Columns'),
+      hr(),
+      actionButton('reverse', 'Reverse column order')
+    ),
+    mainPanel(
+      DT::dataTableOutput('foo'),
+      verbatimTextOutput('info')
+    )
+  )
+)
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/examples/DT-proxy/rsconnect/shinyapps.io/yihui/DT-proxy.dcf
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/examples/DT-proxy/rsconnect/shinyapps.io/yihui/DT-proxy.dcf	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/examples/DT-proxy/rsconnect/shinyapps.io/yihui/DT-proxy.dcf	(revision 3761)
@@ -0,0 +1,9 @@
+name: DT-proxy
+account: yihui
+server: shinyapps.io
+appId: 50432
+bundleId: 519184
+url: https://yihui.shinyapps.io/DT-proxy/
+when: 1469808958.76347
+asMultiple: FALSE
+asStatic: FALSE
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/R/DT
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/R/DT	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/R/DT	(revision 3761)
@@ -0,0 +1,27 @@
+#  File share/R/nspackloader.R
+#  Part of the R package, https://www.R-project.org
+#
+#  Copyright (C) 1995-2012 The R Core Team
+#
+#  This program is free software; you can redistribute it and/or modify
+#  it under the terms of the GNU General Public License as published by
+#  the Free Software Foundation; either version 2 of the License, or
+#  (at your option) any later version.
+#
+#  This program is distributed in the hope that it will be useful,
+#  but WITHOUT ANY WARRANTY; without even the implied warranty of
+#  MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
+#  GNU General Public License for more details.
+#
+#  A copy of the GNU General Public License is available at
+#  https://www.r-project.org/Licenses/
+
+local({
+    info <- loadingNamespaceInfo()
+    pkg <- info$pkgname
+    ns <- .getNamespace(as.name(pkg))
+    if (is.null(ns))
+        stop("cannot find namespace environment for ", pkg, domain = NA);
+    dbbase <- file.path(info$libname, pkg, "R", pkg)
+    lazyLoad(dbbase, ns, filter = function(n) n != ".__NAMESPACE__.")
+})
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/R/DT.rdb
===================================================================
Cannot display: file marked as a binary type.
svn:mime-type = application/octet-stream

Property changes on: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/R/DT.rdb
___________________________________________________________________
Added: svn:mime-type
   + application/octet-stream

Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/R/DT.rdx
===================================================================
Cannot display: file marked as a binary type.
svn:mime-type = application/octet-stream

Property changes on: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/R/DT.rdx
___________________________________________________________________
Added: svn:mime-type
   + application/octet-stream

Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/html/00Index.html
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/html/00Index.html	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/html/00Index.html	(revision 3761)
@@ -0,0 +1,111 @@
+<!DOCTYPE html>
+<html>
+<head><title>R: A Wrapper of the JavaScript Library 'DataTables'</title>
+<meta http-equiv="Content-Type" content="text/html; charset=utf-8" />
+<meta name="viewport" content="width=device-width, initial-scale=1.0, user-scalable=yes" />
+<link rel="stylesheet" type="text/css" href="R.css" />
+</head><body><div class="container">
+<h1> A Wrapper of the JavaScript Library 'DataTables'
+<img class="toplogo" src="../../../doc/html/Rlogo.svg" alt="[R logo]" />
+</h1>
+<hr/>
+<div style="text-align: center;">
+<a href="../../../doc/html/packages.html"><img class="arrow" src="../../../doc/html/left.jpg" alt="[Up]" /></a>
+<a href="../../../doc/html/index.html"><img class="arrow" src="../../../doc/html/up.jpg" alt="[Top]" /></a>
+</div><h2>Documentation for package &lsquo;DT&rsquo; version 0.27</h2>
+
+<ul><li><a href="../DESCRIPTION">DESCRIPTION file</a>.</li>
+<li><a href="../doc/index.html">User guides, package vignettes and other documentation.</a></li>
+<li><a href="../NEWS">Package NEWS</a>.</li>
+</ul>
+
+<h2>Help Pages</h2>
+
+
+<table style="width: 100%;">
+<tr><td style="width: 25%;"><a href="DT-imports.html">%&gt;%</a></td>
+<td>Objects imported from other packages</td></tr>
+<tr><td style="width: 25%;"><a href="proxy.html">addRow</a></td>
+<td>Manipulate an existing DataTables instance in a Shiny app</td></tr>
+<tr><td style="width: 25%;"><a href="proxy.html">clearSearch</a></td>
+<td>Manipulate an existing DataTables instance in a Shiny app</td></tr>
+<tr><td style="width: 25%;"><a href="coerceValue.html">coerceValue</a></td>
+<td>Coerce a character string to the same type as a target value</td></tr>
+<tr><td style="width: 25%;"><a href="proxy.html">colReorder</a></td>
+<td>Manipulate an existing DataTables instance in a Shiny app</td></tr>
+<tr><td style="width: 25%;"><a href="datatable.html">datatable</a></td>
+<td>Create an HTML table widget using the DataTables library</td></tr>
+<tr><td style="width: 25%;"><a href="dataTableAjax.html">dataTableAjax</a></td>
+<td>Register a data object in a shiny session for DataTables</td></tr>
+<tr><td style="width: 25%;"><a href="dataTableOutput.html">dataTableOutput</a></td>
+<td>Helper functions for using DT in Shiny</td></tr>
+<tr><td style="width: 25%;"><a href="proxy.html">dataTableProxy</a></td>
+<td>Manipulate an existing DataTables instance in a Shiny app</td></tr>
+<tr><td style="width: 25%;"><a href="doColumnSearch.html">doColumnSearch</a></td>
+<td>Server-side searching</td></tr>
+<tr><td style="width: 25%;"><a href="doColumnSearch.html">doGlobalSearch</a></td>
+<td>Server-side searching</td></tr>
+<tr><td style="width: 25%;"><a href="dataTableOutput.html">DTOutput</a></td>
+<td>Helper functions for using DT in Shiny</td></tr>
+<tr><td style="width: 25%;"><a href="editData.html">editData</a></td>
+<td>Edit a data object using the information from the editor in a DataTable</td></tr>
+<tr><td style="width: 25%;"><a href="formatCurrency.html">formatCurrency</a></td>
+<td>Format table columns</td></tr>
+<tr><td style="width: 25%;"><a href="formatCurrency.html">formatDate</a></td>
+<td>Format table columns</td></tr>
+<tr><td style="width: 25%;"><a href="formatCurrency.html">formatPercentage</a></td>
+<td>Format table columns</td></tr>
+<tr><td style="width: 25%;"><a href="formatCurrency.html">formatRound</a></td>
+<td>Format table columns</td></tr>
+<tr><td style="width: 25%;"><a href="formatCurrency.html">formatSignif</a></td>
+<td>Format table columns</td></tr>
+<tr><td style="width: 25%;"><a href="formatCurrency.html">formatString</a></td>
+<td>Format table columns</td></tr>
+<tr><td style="width: 25%;"><a href="formatCurrency.html">formatStyle</a></td>
+<td>Format table columns</td></tr>
+<tr><td style="width: 25%;"><a href="proxy.html">hideCols</a></td>
+<td>Manipulate an existing DataTables instance in a Shiny app</td></tr>
+<tr><td style="width: 25%;"><a href="DT-imports.html">JS</a></td>
+<td>Objects imported from other packages</td></tr>
+<tr><td style="width: 25%;"><a href="proxy.html">reloadData</a></td>
+<td>Manipulate an existing DataTables instance in a Shiny app</td></tr>
+<tr><td style="width: 25%;"><a href="dataTableOutput.html">renderDataTable</a></td>
+<td>Helper functions for using DT in Shiny</td></tr>
+<tr><td style="width: 25%;"><a href="dataTableOutput.html">renderDT</a></td>
+<td>Helper functions for using DT in Shiny</td></tr>
+<tr><td style="width: 25%;"><a href="replaceData.html">replaceData</a></td>
+<td>Replace data in an existing table</td></tr>
+<tr><td style="width: 25%;"><a href="DT-imports.html">saveWidget</a></td>
+<td>Objects imported from other packages</td></tr>
+<tr><td style="width: 25%;"><a href="proxy.html">selectCells</a></td>
+<td>Manipulate an existing DataTables instance in a Shiny app</td></tr>
+<tr><td style="width: 25%;"><a href="proxy.html">selectColumns</a></td>
+<td>Manipulate an existing DataTables instance in a Shiny app</td></tr>
+<tr><td style="width: 25%;"><a href="proxy.html">selectPage</a></td>
+<td>Manipulate an existing DataTables instance in a Shiny app</td></tr>
+<tr><td style="width: 25%;"><a href="proxy.html">selectRows</a></td>
+<td>Manipulate an existing DataTables instance in a Shiny app</td></tr>
+<tr><td style="width: 25%;"><a href="proxy.html">showCols</a></td>
+<td>Manipulate an existing DataTables instance in a Shiny app</td></tr>
+<tr><td style="width: 25%;"><a href="styleInterval.html">styleColorBar</a></td>
+<td>Conditional CSS styles</td></tr>
+<tr><td style="width: 25%;"><a href="styleInterval.html">styleEqual</a></td>
+<td>Conditional CSS styles</td></tr>
+<tr><td style="width: 25%;"><a href="styleInterval.html">styleInterval</a></td>
+<td>Conditional CSS styles</td></tr>
+<tr><td style="width: 25%;"><a href="styleInterval.html">styleRow</a></td>
+<td>Conditional CSS styles</td></tr>
+<tr><td style="width: 25%;"><a href="styleInterval.html">styleValue</a></td>
+<td>Conditional CSS styles</td></tr>
+<tr><td style="width: 25%;"><a href="tableHeader.html">tableFooter</a></td>
+<td>Generate a table header or footer from column names</td></tr>
+<tr><td style="width: 25%;"><a href="tableHeader.html">tableHeader</a></td>
+<td>Generate a table header or footer from column names</td></tr>
+<tr><td style="width: 25%;"><a href="proxy.html">updateCaption</a></td>
+<td>Manipulate an existing DataTables instance in a Shiny app</td></tr>
+<tr><td style="width: 25%;"><a href="replaceData.html">updateFilters</a></td>
+<td>Replace data in an existing table</td></tr>
+<tr><td style="width: 25%;"><a href="proxy.html">updateSearch</a></td>
+<td>Manipulate an existing DataTables instance in a Shiny app</td></tr>
+</table>
+</div></body></html>
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/html/R.css
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/html/R.css	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/html/R.css	(revision 3761)
@@ -0,0 +1,120 @@
+@media screen {
+    .container {
+	padding-right: 10px;
+	padding-left: 10px;
+	margin-right: auto;
+	margin-left: auto;
+	max-width: 900px;
+    }
+}
+
+.rimage img { /* from knitr - for examples and demos */
+    width: 96%;
+    margin-left: 2%;
+} 	
+
+.katex { font-size: 1.1em; }
+
+code {
+    color: inherit;
+    background: inherit;
+}
+
+body {
+    line-height: 1.4;
+    background: white;
+    color: black;
+}
+
+a:link {
+    background: white;
+    color: blue;
+}
+
+a:visited {
+    background: white;
+    color: rgb(50%, 0%, 50%);
+}
+
+h1 {
+    background: white;
+    color: rgb(55%, 55%, 55%);
+    font-family: monospace;
+    font-size: 1.4em; /* x-large; */
+    text-align: center;
+}
+
+h2 {
+    background: white;
+    color: rgb(40%, 40%, 40%);
+    font-family: monospace;
+    font-size: 1.2em; /* large; */
+    text-align: center;
+}
+
+h3 {
+    background: white;
+    color: rgb(40%, 40%, 40%);
+    font-family: monospace;
+    font-size: 1.2em; /* large; */
+}
+
+h4 {
+    background: white;
+    color: rgb(40%, 40%, 40%);
+    font-family: monospace;
+    font-style: italic;
+    font-size: 1.2em; /* large; */
+}
+
+h5 {
+    background: white;
+    color: rgb(40%, 40%, 40%);
+    font-family: monospace;
+}
+
+h6 {
+    background: white;
+    color: rgb(40%, 40%, 40%);
+    font-family: monospace;
+    font-style: italic;
+}
+
+img.toplogo {
+    width: 4em;
+    vertical-align: middle;
+}
+
+img.arrow {
+    width: 30px;
+    height: 30px;
+    border: 0;
+}
+
+span.acronym {
+    font-size: small;
+}
+
+span.env {
+    font-family: monospace;
+}
+
+span.file {
+    font-family: monospace;
+}
+
+span.option{
+    font-family: monospace;
+}
+
+span.pkg {
+    font-weight: bold;
+}
+
+span.samp{
+    font-family: monospace;
+}
+
+div.vignettes a:hover {
+    background: rgb(85%, 85%, 85%);
+}
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/doc/DT.Rmd
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/doc/DT.Rmd	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/doc/DT.Rmd	(revision 3761)
@@ -0,0 +1,26 @@
+---
+title: "An Introduction to the DT Package"
+author: "Yihui Xie"
+date: '`r Sys.Date()`'
+output:
+  knitr:::html_vignette:
+    number_sections: yes
+    toc: yes
+vignette: |
+  %\VignetteIndexEntry{An Introduction to the DT Package}
+  %\VignetteEngine{knitr::rmarkdown_notangle}
+---
+
+<style type="text/css">
+table, table th, table td {
+  border: none;
+}
+</style>
+
+Please see https://rstudio.github.io/DT/ for the full documentation. Here is only a minimal example:
+
+```{r, screenshot.force=FALSE}
+library(DT)
+datatable(iris)
+```
+
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/doc/DT.html
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/doc/DT.html	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/doc/DT.html	(revision 3761)
@@ -0,0 +1,3082 @@
+<!DOCTYPE html>
+
+<html>
+
+<head>
+
+<meta charset="utf-8" />
+<meta name="generator" content="pandoc" />
+<meta http-equiv="X-UA-Compatible" content="IE=EDGE" />
+
+<meta name="viewport" content="width=device-width, initial-scale=1" />
+
+<meta name="author" content="Yihui Xie" />
+
+<meta name="date" content="2023-01-17" />
+
+<title>An Introduction to the DT Package</title>
+
+<script>// Pandoc 2.9 adds attributes on both header and div. We remove the former (to
+// be compatible with the behavior of Pandoc < 2.8).
+document.addEventListener('DOMContentLoaded', function(e) {
+  var hs = document.querySelectorAll("div.section[class*='level'] > :first-child");
+  var i, h, a;
+  for (i = 0; i < hs.length; i++) {
+    h = hs[i];
+    if (!/^h[1-6]$/i.test(h.tagName)) continue;  // it should be a header h1-h6
+    a = h.attributes;
+    while (a.length > 0) h.removeAttribute(a[0].name);
+  }
+});
+</script>
+<script>(function() {
+  // If window.HTMLWidgets is already defined, then use it; otherwise create a
+  // new object. This allows preceding code to set options that affect the
+  // initialization process (though none currently exist).
+  window.HTMLWidgets = window.HTMLWidgets || {};
+
+  // See if we're running in a viewer pane. If not, we're in a web browser.
+  var viewerMode = window.HTMLWidgets.viewerMode =
+      /\bviewer_pane=1\b/.test(window.location);
+
+  // See if we're running in Shiny mode. If not, it's a static document.
+  // Note that static widgets can appear in both Shiny and static modes, but
+  // obviously, Shiny widgets can only appear in Shiny apps/documents.
+  var shinyMode = window.HTMLWidgets.shinyMode =
+      typeof(window.Shiny) !== "undefined" && !!window.Shiny.outputBindings;
+
+  // We can't count on jQuery being available, so we implement our own
+  // version if necessary.
+  function querySelectorAll(scope, selector) {
+    if (typeof(jQuery) !== "undefined" && scope instanceof jQuery) {
+      return scope.find(selector);
+    }
+    if (scope.querySelectorAll) {
+      return scope.querySelectorAll(selector);
+    }
+  }
+
+  function asArray(value) {
+    if (value === null)
+      return [];
+    if ($.isArray(value))
+      return value;
+    return [value];
+  }
+
+  // Implement jQuery's extend
+  function extend(target /*, ... */) {
+    if (arguments.length == 1) {
+      return target;
+    }
+    for (var i = 1; i < arguments.length; i++) {
+      var source = arguments[i];
+      for (var prop in source) {
+        if (source.hasOwnProperty(prop)) {
+          target[prop] = source[prop];
+        }
+      }
+    }
+    return target;
+  }
+
+  // IE8 doesn't support Array.forEach.
+  function forEach(values, callback, thisArg) {
+    if (values.forEach) {
+      values.forEach(callback, thisArg);
+    } else {
+      for (var i = 0; i < values.length; i++) {
+        callback.call(thisArg, values[i], i, values);
+      }
+    }
+  }
+
+  // Replaces the specified method with the return value of funcSource.
+  //
+  // Note that funcSource should not BE the new method, it should be a function
+  // that RETURNS the new method. funcSource receives a single argument that is
+  // the overridden method, it can be called from the new method. The overridden
+  // method can be called like a regular function, it has the target permanently
+  // bound to it so "this" will work correctly.
+  function overrideMethod(target, methodName, funcSource) {
+    var superFunc = target[methodName] || function() {};
+    var superFuncBound = function() {
+      return superFunc.apply(target, arguments);
+    };
+    target[methodName] = funcSource(superFuncBound);
+  }
+
+  // Add a method to delegator that, when invoked, calls
+  // delegatee.methodName. If there is no such method on
+  // the delegatee, but there was one on delegator before
+  // delegateMethod was called, then the original version
+  // is invoked instead.
+  // For example:
+  //
+  // var a = {
+  //   method1: function() { console.log('a1'); }
+  //   method2: function() { console.log('a2'); }
+  // };
+  // var b = {
+  //   method1: function() { console.log('b1'); }
+  // };
+  // delegateMethod(a, b, "method1");
+  // delegateMethod(a, b, "method2");
+  // a.method1();
+  // a.method2();
+  //
+  // The output would be "b1", "a2".
+  function delegateMethod(delegator, delegatee, methodName) {
+    var inherited = delegator[methodName];
+    delegator[methodName] = function() {
+      var target = delegatee;
+      var method = delegatee[methodName];
+
+      // The method doesn't exist on the delegatee. Instead,
+      // call the method on the delegator, if it exists.
+      if (!method) {
+        target = delegator;
+        method = inherited;
+      }
+
+      if (method) {
+        return method.apply(target, arguments);
+      }
+    };
+  }
+
+  // Implement a vague facsimilie of jQuery's data method
+  function elementData(el, name, value) {
+    if (arguments.length == 2) {
+      return el["htmlwidget_data_" + name];
+    } else if (arguments.length == 3) {
+      el["htmlwidget_data_" + name] = value;
+      return el;
+    } else {
+      throw new Error("Wrong number of arguments for elementData: " +
+        arguments.length);
+    }
+  }
+
+  // http://stackoverflow.com/questions/3446170/escape-string-for-use-in-javascript-regex
+  function escapeRegExp(str) {
+    return str.replace(/[\-\[\]\/\{\}\(\)\*\+\?\.\\\^\$\|]/g, "\\$&");
+  }
+
+  function hasClass(el, className) {
+    var re = new RegExp("\\b" + escapeRegExp(className) + "\\b");
+    return re.test(el.className);
+  }
+
+  // elements - array (or array-like object) of HTML elements
+  // className - class name to test for
+  // include - if true, only return elements with given className;
+  //   if false, only return elements *without* given className
+  function filterByClass(elements, className, include) {
+    var results = [];
+    for (var i = 0; i < elements.length; i++) {
+      if (hasClass(elements[i], className) == include)
+        results.push(elements[i]);
+    }
+    return results;
+  }
+
+  function on(obj, eventName, func) {
+    if (obj.addEventListener) {
+      obj.addEventListener(eventName, func, false);
+    } else if (obj.attachEvent) {
+      obj.attachEvent(eventName, func);
+    }
+  }
+
+  function off(obj, eventName, func) {
+    if (obj.removeEventListener)
+      obj.removeEventListener(eventName, func, false);
+    else if (obj.detachEvent) {
+      obj.detachEvent(eventName, func);
+    }
+  }
+
+  // Translate array of values to top/right/bottom/left, as usual with
+  // the "padding" CSS property
+  // https://developer.mozilla.org/en-US/docs/Web/CSS/padding
+  function unpackPadding(value) {
+    if (typeof(value) === "number")
+      value = [value];
+    if (value.length === 1) {
+      return {top: value[0], right: value[0], bottom: value[0], left: value[0]};
+    }
+    if (value.length === 2) {
+      return {top: value[0], right: value[1], bottom: value[0], left: value[1]};
+    }
+    if (value.length === 3) {
+      return {top: value[0], right: value[1], bottom: value[2], left: value[1]};
+    }
+    if (value.length === 4) {
+      return {top: value[0], right: value[1], bottom: value[2], left: value[3]};
+    }
+  }
+
+  // Convert an unpacked padding object to a CSS value
+  function paddingToCss(paddingObj) {
+    return paddingObj.top + "px " + paddingObj.right + "px " + paddingObj.bottom + "px " + paddingObj.left + "px";
+  }
+
+  // Makes a number suitable for CSS
+  function px(x) {
+    if (typeof(x) === "number")
+      return x + "px";
+    else
+      return x;
+  }
+
+  // Retrieves runtime widget sizing information for an element.
+  // The return value is either null, or an object with fill, padding,
+  // defaultWidth, defaultHeight fields.
+  function sizingPolicy(el) {
+    var sizingEl = document.querySelector("script[data-for='" + el.id + "'][type='application/htmlwidget-sizing']");
+    if (!sizingEl)
+      return null;
+    var sp = JSON.parse(sizingEl.textContent || sizingEl.text || "{}");
+    if (viewerMode) {
+      return sp.viewer;
+    } else {
+      return sp.browser;
+    }
+  }
+
+  // @param tasks Array of strings (or falsy value, in which case no-op).
+  //   Each element must be a valid JavaScript expression that yields a
+  //   function. Or, can be an array of objects with "code" and "data"
+  //   properties; in this case, the "code" property should be a string
+  //   of JS that's an expr that yields a function, and "data" should be
+  //   an object that will be added as an additional argument when that
+  //   function is called.
+  // @param target The object that will be "this" for each function
+  //   execution.
+  // @param args Array of arguments to be passed to the functions. (The
+  //   same arguments will be passed to all functions.)
+  function evalAndRun(tasks, target, args) {
+    if (tasks) {
+      forEach(tasks, function(task) {
+        var theseArgs = args;
+        if (typeof(task) === "object") {
+          theseArgs = theseArgs.concat([task.data]);
+          task = task.code;
+        }
+        var taskFunc = tryEval(task);
+        if (typeof(taskFunc) !== "function") {
+          throw new Error("Task must be a function! Source:\n" + task);
+        }
+        taskFunc.apply(target, theseArgs);
+      });
+    }
+  }
+
+  // Attempt eval() both with and without enclosing in parentheses.
+  // Note that enclosing coerces a function declaration into
+  // an expression that eval() can parse
+  // (otherwise, a SyntaxError is thrown)
+  function tryEval(code) {
+    var result = null;
+    try {
+      result = eval("(" + code + ")");
+    } catch(error) {
+      if (!(error instanceof SyntaxError)) {
+        throw error;
+      }
+      try {
+        result = eval(code);
+      } catch(e) {
+        if (e instanceof SyntaxError) {
+          throw error;
+        } else {
+          throw e;
+        }
+      }
+    }
+    return result;
+  }
+
+  function initSizing(el) {
+    var sizing = sizingPolicy(el);
+    if (!sizing)
+      return;
+
+    var cel = document.getElementById("htmlwidget_container");
+    if (!cel)
+      return;
+
+    if (typeof(sizing.padding) !== "undefined") {
+      document.body.style.margin = "0";
+      document.body.style.padding = paddingToCss(unpackPadding(sizing.padding));
+    }
+
+    if (sizing.fill) {
+      document.body.style.overflow = "hidden";
+      document.body.style.width = "100%";
+      document.body.style.height = "100%";
+      document.documentElement.style.width = "100%";
+      document.documentElement.style.height = "100%";
+      cel.style.position = "absolute";
+      var pad = unpackPadding(sizing.padding);
+      cel.style.top = pad.top + "px";
+      cel.style.right = pad.right + "px";
+      cel.style.bottom = pad.bottom + "px";
+      cel.style.left = pad.left + "px";
+      el.style.width = "100%";
+      el.style.height = "100%";
+
+      var rect = cel.getBoundingClientRect();
+
+      return {
+        getWidth: function() { return rect.width; },
+        getHeight: function() { return rect.height; }
+      };
+
+    } else {
+      el.style.width = px(sizing.width);
+      el.style.height = px(sizing.height);
+
+      var rect = cel.getBoundingClientRect();
+
+      return {
+        getWidth: function() { return rect.width; },
+        getHeight: function() { return rect.height; }
+      };
+    }
+  }
+
+  // Default implementations for methods
+  var defaults = {
+    find: function(scope) {
+      return querySelectorAll(scope, "." + this.name);
+    },
+    renderError: function(el, err) {
+      var $el = $(el);
+
+      this.clearError(el);
+
+      // Add all these error classes, as Shiny does
+      var errClass = "shiny-output-error";
+      if (err.type !== null) {
+        // use the classes of the error condition as CSS class names
+        errClass = errClass + " " + $.map(asArray(err.type), function(type) {
+          return errClass + "-" + type;
+        }).join(" ");
+      }
+      errClass = errClass + " htmlwidgets-error";
+
+      // Is el inline or block? If inline or inline-block, just display:none it
+      // and add an inline error.
+      var display = $el.css("display");
+      $el.data("restore-display-mode", display);
+
+      if (display === "inline" || display === "inline-block") {
+        $el.hide();
+        if (err.message !== "") {
+          var errorSpan = $("<span>").addClass(errClass);
+          errorSpan.text(err.message);
+          $el.after(errorSpan);
+        }
+      } else if (display === "block") {
+        // If block, add an error just after the el, set visibility:none on the
+        // el, and position the error to be on top of the el.
+        // Mark it with a unique ID and CSS class so we can remove it later.
+        $el.css("visibility", "hidden");
+        if (err.message !== "") {
+          var errorDiv = $("<div>").addClass(errClass).css("position", "absolute")
+            .css("top", el.offsetTop)
+            .css("left", el.offsetLeft)
+            // setting width can push out the page size, forcing otherwise
+            // unnecessary scrollbars to appear and making it impossible for
+            // the element to shrink; so use max-width instead
+            .css("maxWidth", el.offsetWidth)
+            .css("height", el.offsetHeight);
+          errorDiv.text(err.message);
+          $el.after(errorDiv);
+
+          // Really dumb way to keep the size/position of the error in sync with
+          // the parent element as the window is resized or whatever.
+          var intId = setInterval(function() {
+            if (!errorDiv[0].parentElement) {
+              clearInterval(intId);
+              return;
+            }
+            errorDiv
+              .css("top", el.offsetTop)
+              .css("left", el.offsetLeft)
+              .css("maxWidth", el.offsetWidth)
+              .css("height", el.offsetHeight);
+          }, 500);
+        }
+      }
+    },
+    clearError: function(el) {
+      var $el = $(el);
+      var display = $el.data("restore-display-mode");
+      $el.data("restore-display-mode", null);
+
+      if (display === "inline" || display === "inline-block") {
+        if (display)
+          $el.css("display", display);
+        $(el.nextSibling).filter(".htmlwidgets-error").remove();
+      } else if (display === "block"){
+        $el.css("visibility", "inherit");
+        $(el.nextSibling).filter(".htmlwidgets-error").remove();
+      }
+    },
+    sizing: {}
+  };
+
+  // Called by widget bindings to register a new type of widget. The definition
+  // object can contain the following properties:
+  // - name (required) - A string indicating the binding name, which will be
+  //   used by default as the CSS classname to look for.
+  // - initialize (optional) - A function(el) that will be called once per
+  //   widget element; if a value is returned, it will be passed as the third
+  //   value to renderValue.
+  // - renderValue (required) - A function(el, data, initValue) that will be
+  //   called with data. Static contexts will cause this to be called once per
+  //   element; Shiny apps will cause this to be called multiple times per
+  //   element, as the data changes.
+  window.HTMLWidgets.widget = function(definition) {
+    if (!definition.name) {
+      throw new Error("Widget must have a name");
+    }
+    if (!definition.type) {
+      throw new Error("Widget must have a type");
+    }
+    // Currently we only support output widgets
+    if (definition.type !== "output") {
+      throw new Error("Unrecognized widget type '" + definition.type + "'");
+    }
+    // TODO: Verify that .name is a valid CSS classname
+
+    // Support new-style instance-bound definitions. Old-style class-bound
+    // definitions have one widget "object" per widget per type/class of
+    // widget; the renderValue and resize methods on such widget objects
+    // take el and instance arguments, because the widget object can't
+    // store them. New-style instance-bound definitions have one widget
+    // object per widget instance; the definition that's passed in doesn't
+    // provide renderValue or resize methods at all, just the single method
+    //   factory(el, width, height)
+    // which returns an object that has renderValue(x) and resize(w, h).
+    // This enables a far more natural programming style for the widget
+    // author, who can store per-instance state using either OO-style
+    // instance fields or functional-style closure variables (I guess this
+    // is in contrast to what can only be called C-style pseudo-OO which is
+    // what we required before).
+    if (definition.factory) {
+      definition = createLegacyDefinitionAdapter(definition);
+    }
+
+    if (!definition.renderValue) {
+      throw new Error("Widget must have a renderValue function");
+    }
+
+    // For static rendering (non-Shiny), use a simple widget registration
+    // scheme. We also use this scheme for Shiny apps/documents that also
+    // contain static widgets.
+    window.HTMLWidgets.widgets = window.HTMLWidgets.widgets || [];
+    // Merge defaults into the definition; don't mutate the original definition.
+    var staticBinding = extend({}, defaults, definition);
+    overrideMethod(staticBinding, "find", function(superfunc) {
+      return function(scope) {
+        var results = superfunc(scope);
+        // Filter out Shiny outputs, we only want the static kind
+        return filterByClass(results, "html-widget-output", false);
+      };
+    });
+    window.HTMLWidgets.widgets.push(staticBinding);
+
+    if (shinyMode) {
+      // Shiny is running. Register the definition with an output binding.
+      // The definition itself will not be the output binding, instead
+      // we will make an output binding object that delegates to the
+      // definition. This is because we foolishly used the same method
+      // name (renderValue) for htmlwidgets definition and Shiny bindings
+      // but they actually have quite different semantics (the Shiny
+      // bindings receive data that includes lots of metadata that it
+      // strips off before calling htmlwidgets renderValue). We can't
+      // just ignore the difference because in some widgets it's helpful
+      // to call this.renderValue() from inside of resize(), and if
+      // we're not delegating, then that call will go to the Shiny
+      // version instead of the htmlwidgets version.
+
+      // Merge defaults with definition, without mutating either.
+      var bindingDef = extend({}, defaults, definition);
+
+      // This object will be our actual Shiny binding.
+      var shinyBinding = new Shiny.OutputBinding();
+
+      // With a few exceptions, we'll want to simply use the bindingDef's
+      // version of methods if they are available, otherwise fall back to
+      // Shiny's defaults. NOTE: If Shiny's output bindings gain additional
+      // methods in the future, and we want them to be overrideable by
+      // HTMLWidget binding definitions, then we'll need to add them to this
+      // list.
+      delegateMethod(shinyBinding, bindingDef, "getId");
+      delegateMethod(shinyBinding, bindingDef, "onValueChange");
+      delegateMethod(shinyBinding, bindingDef, "onValueError");
+      delegateMethod(shinyBinding, bindingDef, "renderError");
+      delegateMethod(shinyBinding, bindingDef, "clearError");
+      delegateMethod(shinyBinding, bindingDef, "showProgress");
+
+      // The find, renderValue, and resize are handled differently, because we
+      // want to actually decorate the behavior of the bindingDef methods.
+
+      shinyBinding.find = function(scope) {
+        var results = bindingDef.find(scope);
+
+        // Only return elements that are Shiny outputs, not static ones
+        var dynamicResults = results.filter(".html-widget-output");
+
+        // It's possible that whatever caused Shiny to think there might be
+        // new dynamic outputs, also caused there to be new static outputs.
+        // Since there might be lots of different htmlwidgets bindings, we
+        // schedule execution for later--no need to staticRender multiple
+        // times.
+        if (results.length !== dynamicResults.length)
+          scheduleStaticRender();
+
+        return dynamicResults;
+      };
+
+      // Wrap renderValue to handle initialization, which unfortunately isn't
+      // supported natively by Shiny at the time of this writing.
+
+      shinyBinding.renderValue = function(el, data) {
+        Shiny.renderDependencies(data.deps);
+        // Resolve strings marked as javascript literals to objects
+        if (!(data.evals instanceof Array)) data.evals = [data.evals];
+        for (var i = 0; data.evals && i < data.evals.length; i++) {
+          window.HTMLWidgets.evaluateStringMember(data.x, data.evals[i]);
+        }
+        if (!bindingDef.renderOnNullValue) {
+          if (data.x === null) {
+            el.style.visibility = "hidden";
+            return;
+          } else {
+            el.style.visibility = "inherit";
+          }
+        }
+        if (!elementData(el, "initialized")) {
+          initSizing(el);
+
+          elementData(el, "initialized", true);
+          if (bindingDef.initialize) {
+            var rect = el.getBoundingClientRect();
+            var result = bindingDef.initialize(el, rect.width, rect.height);
+            elementData(el, "init_result", result);
+          }
+        }
+        bindingDef.renderValue(el, data.x, elementData(el, "init_result"));
+        evalAndRun(data.jsHooks.render, elementData(el, "init_result"), [el, data.x]);
+      };
+
+      // Only override resize if bindingDef implements it
+      if (bindingDef.resize) {
+        shinyBinding.resize = function(el, width, height) {
+          // Shiny can call resize before initialize/renderValue have been
+          // called, which doesn't make sense for widgets.
+          if (elementData(el, "initialized")) {
+            bindingDef.resize(el, width, height, elementData(el, "init_result"));
+          }
+        };
+      }
+
+      Shiny.outputBindings.register(shinyBinding, bindingDef.name);
+    }
+  };
+
+  var scheduleStaticRenderTimerId = null;
+  function scheduleStaticRender() {
+    if (!scheduleStaticRenderTimerId) {
+      scheduleStaticRenderTimerId = setTimeout(function() {
+        scheduleStaticRenderTimerId = null;
+        window.HTMLWidgets.staticRender();
+      }, 1);
+    }
+  }
+
+  // Render static widgets after the document finishes loading
+  // Statically render all elements that are of this widget's class
+  window.HTMLWidgets.staticRender = function() {
+    var bindings = window.HTMLWidgets.widgets || [];
+    forEach(bindings, function(binding) {
+      var matches = binding.find(document.documentElement);
+      forEach(matches, function(el) {
+        var sizeObj = initSizing(el, binding);
+
+        var getSize = function(el) {
+          if (sizeObj) {
+            return {w: sizeObj.getWidth(), h: sizeObj.getHeight()}
+          } else {
+            var rect = el.getBoundingClientRect();
+            return {w: rect.width, h: rect.height}
+          }
+        };
+
+        if (hasClass(el, "html-widget-static-bound"))
+          return;
+        el.className = el.className + " html-widget-static-bound";
+
+        var initResult;
+        if (binding.initialize) {
+          var size = getSize(el);
+          initResult = binding.initialize(el, size.w, size.h);
+          elementData(el, "init_result", initResult);
+        }
+
+        if (binding.resize) {
+          var lastSize = getSize(el);
+          var resizeHandler = function(e) {
+            var size = getSize(el);
+            if (size.w === 0 && size.h === 0)
+              return;
+            if (size.w === lastSize.w && size.h === lastSize.h)
+              return;
+            lastSize = size;
+            binding.resize(el, size.w, size.h, initResult);
+          };
+
+          on(window, "resize", resizeHandler);
+
+          // This is needed for cases where we're running in a Shiny
+          // app, but the widget itself is not a Shiny output, but
+          // rather a simple static widget. One example of this is
+          // an rmarkdown document that has runtime:shiny and widget
+          // that isn't in a render function. Shiny only knows to
+          // call resize handlers for Shiny outputs, not for static
+          // widgets, so we do it ourselves.
+          if (window.jQuery) {
+            window.jQuery(document).on(
+              "shown.htmlwidgets shown.bs.tab.htmlwidgets shown.bs.collapse.htmlwidgets",
+              resizeHandler
+            );
+            window.jQuery(document).on(
+              "hidden.htmlwidgets hidden.bs.tab.htmlwidgets hidden.bs.collapse.htmlwidgets",
+              resizeHandler
+            );
+          }
+
+          // This is needed for the specific case of ioslides, which
+          // flips slides between display:none and display:block.
+          // Ideally we would not have to have ioslide-specific code
+          // here, but rather have ioslides raise a generic event,
+          // but the rmarkdown package just went to CRAN so the
+          // window to getting that fixed may be long.
+          if (window.addEventListener) {
+            // It's OK to limit this to window.addEventListener
+            // browsers because ioslides itself only supports
+            // such browsers.
+            on(document, "slideenter", resizeHandler);
+            on(document, "slideleave", resizeHandler);
+          }
+        }
+
+        var scriptData = document.querySelector("script[data-for='" + el.id + "'][type='application/json']");
+        if (scriptData) {
+          var data = JSON.parse(scriptData.textContent || scriptData.text);
+          // Resolve strings marked as javascript literals to objects
+          if (!(data.evals instanceof Array)) data.evals = [data.evals];
+          for (var k = 0; data.evals && k < data.evals.length; k++) {
+            window.HTMLWidgets.evaluateStringMember(data.x, data.evals[k]);
+          }
+          binding.renderValue(el, data.x, initResult);
+          evalAndRun(data.jsHooks.render, initResult, [el, data.x]);
+        }
+      });
+    });
+
+    invokePostRenderHandlers();
+  }
+
+
+  function has_jQuery3() {
+    if (!window.jQuery) {
+      return false;
+    }
+    var $version = window.jQuery.fn.jquery;
+    var $major_version = parseInt($version.split(".")[0]);
+    return $major_version >= 3;
+  }
+
+  /*
+  / Shiny 1.4 bumped jQuery from 1.x to 3.x which means jQuery's
+  / on-ready handler (i.e., $(fn)) is now asyncronous (i.e., it now
+  / really means $(setTimeout(fn)).
+  / https://jquery.com/upgrade-guide/3.0/#breaking-change-document-ready-handlers-are-now-asynchronous
+  /
+  / Since Shiny uses $() to schedule initShiny, shiny>=1.4 calls initShiny
+  / one tick later than it did before, which means staticRender() is
+  / called renderValue() earlier than (advanced) widget authors might be expecting.
+  / https://github.com/rstudio/shiny/issues/2630
+  /
+  / For a concrete example, leaflet has some methods (e.g., updateBounds)
+  / which reference Shiny methods registered in initShiny (e.g., setInputValue).
+  / Since leaflet is privy to this life-cycle, it knows to use setTimeout() to
+  / delay execution of those methods (until Shiny methods are ready)
+  / https://github.com/rstudio/leaflet/blob/18ec981/javascript/src/index.js#L266-L268
+  /
+  / Ideally widget authors wouldn't need to use this setTimeout() hack that
+  / leaflet uses to call Shiny methods on a staticRender(). In the long run,
+  / the logic initShiny should be broken up so that method registration happens
+  / right away, but binding happens later.
+  */
+  function maybeStaticRenderLater() {
+    if (shinyMode && has_jQuery3()) {
+      window.jQuery(window.HTMLWidgets.staticRender);
+    } else {
+      window.HTMLWidgets.staticRender();
+    }
+  }
+
+  if (document.addEventListener) {
+    document.addEventListener("DOMContentLoaded", function() {
+      document.removeEventListener("DOMContentLoaded", arguments.callee, false);
+      maybeStaticRenderLater();
+    }, false);
+  } else if (document.attachEvent) {
+    document.attachEvent("onreadystatechange", function() {
+      if (document.readyState === "complete") {
+        document.detachEvent("onreadystatechange", arguments.callee);
+        maybeStaticRenderLater();
+      }
+    });
+  }
+
+
+  window.HTMLWidgets.getAttachmentUrl = function(depname, key) {
+    // If no key, default to the first item
+    if (typeof(key) === "undefined")
+      key = 1;
+
+    var link = document.getElementById(depname + "-" + key + "-attachment");
+    if (!link) {
+      throw new Error("Attachment " + depname + "/" + key + " not found in document");
+    }
+    return link.getAttribute("href");
+  };
+
+  window.HTMLWidgets.dataframeToD3 = function(df) {
+    var names = [];
+    var length;
+    for (var name in df) {
+        if (df.hasOwnProperty(name))
+            names.push(name);
+        if (typeof(df[name]) !== "object" || typeof(df[name].length) === "undefined") {
+            throw new Error("All fields must be arrays");
+        } else if (typeof(length) !== "undefined" && length !== df[name].length) {
+            throw new Error("All fields must be arrays of the same length");
+        }
+        length = df[name].length;
+    }
+    var results = [];
+    var item;
+    for (var row = 0; row < length; row++) {
+        item = {};
+        for (var col = 0; col < names.length; col++) {
+            item[names[col]] = df[names[col]][row];
+        }
+        results.push(item);
+    }
+    return results;
+  };
+
+  window.HTMLWidgets.transposeArray2D = function(array) {
+      if (array.length === 0) return array;
+      var newArray = array[0].map(function(col, i) {
+          return array.map(function(row) {
+              return row[i]
+          })
+      });
+      return newArray;
+  };
+  // Split value at splitChar, but allow splitChar to be escaped
+  // using escapeChar. Any other characters escaped by escapeChar
+  // will be included as usual (including escapeChar itself).
+  function splitWithEscape(value, splitChar, escapeChar) {
+    var results = [];
+    var escapeMode = false;
+    var currentResult = "";
+    for (var pos = 0; pos < value.length; pos++) {
+      if (!escapeMode) {
+        if (value[pos] === splitChar) {
+          results.push(currentResult);
+          currentResult = "";
+        } else if (value[pos] === escapeChar) {
+          escapeMode = true;
+        } else {
+          currentResult += value[pos];
+        }
+      } else {
+        currentResult += value[pos];
+        escapeMode = false;
+      }
+    }
+    if (currentResult !== "") {
+      results.push(currentResult);
+    }
+    return results;
+  }
+  // Function authored by Yihui/JJ Allaire
+  window.HTMLWidgets.evaluateStringMember = function(o, member) {
+    var parts = splitWithEscape(member, '.', '\\');
+    for (var i = 0, l = parts.length; i < l; i++) {
+      var part = parts[i];
+      // part may be a character or 'numeric' member name
+      if (o !== null && typeof o === "object" && part in o) {
+        if (i == (l - 1)) { // if we are at the end of the line then evalulate
+          if (typeof o[part] === "string")
+            o[part] = tryEval(o[part]);
+        } else { // otherwise continue to next embedded object
+          o = o[part];
+        }
+      }
+    }
+  };
+
+  // Retrieve the HTMLWidget instance (i.e. the return value of an
+  // HTMLWidget binding's initialize() or factory() function)
+  // associated with an element, or null if none.
+  window.HTMLWidgets.getInstance = function(el) {
+    return elementData(el, "init_result");
+  };
+
+  // Finds the first element in the scope that matches the selector,
+  // and returns the HTMLWidget instance (i.e. the return value of
+  // an HTMLWidget binding's initialize() or factory() function)
+  // associated with that element, if any. If no element matches the
+  // selector, or the first matching element has no HTMLWidget
+  // instance associated with it, then null is returned.
+  //
+  // The scope argument is optional, and defaults to window.document.
+  window.HTMLWidgets.find = function(scope, selector) {
+    if (arguments.length == 1) {
+      selector = scope;
+      scope = document;
+    }
+
+    var el = scope.querySelector(selector);
+    if (el === null) {
+      return null;
+    } else {
+      return window.HTMLWidgets.getInstance(el);
+    }
+  };
+
+  // Finds all elements in the scope that match the selector, and
+  // returns the HTMLWidget instances (i.e. the return values of
+  // an HTMLWidget binding's initialize() or factory() function)
+  // associated with the elements, in an array. If elements that
+  // match the selector don't have an associated HTMLWidget
+  // instance, the returned array will contain nulls.
+  //
+  // The scope argument is optional, and defaults to window.document.
+  window.HTMLWidgets.findAll = function(scope, selector) {
+    if (arguments.length == 1) {
+      selector = scope;
+      scope = document;
+    }
+
+    var nodes = scope.querySelectorAll(selector);
+    var results = [];
+    for (var i = 0; i < nodes.length; i++) {
+      results.push(window.HTMLWidgets.getInstance(nodes[i]));
+    }
+    return results;
+  };
+
+  var postRenderHandlers = [];
+  function invokePostRenderHandlers() {
+    while (postRenderHandlers.length) {
+      var handler = postRenderHandlers.shift();
+      if (handler) {
+        handler();
+      }
+    }
+  }
+
+  // Register the given callback function to be invoked after the
+  // next time static widgets are rendered.
+  window.HTMLWidgets.addPostRenderHandler = function(callback) {
+    postRenderHandlers.push(callback);
+  };
+
+  // Takes a new-style instance-bound definition, and returns an
+  // old-style class-bound definition. This saves us from having
+  // to rewrite all the logic in this file to accomodate both
+  // types of definitions.
+  function createLegacyDefinitionAdapter(defn) {
+    var result = {
+      name: defn.name,
+      type: defn.type,
+      initialize: function(el, width, height) {
+        return defn.factory(el, width, height);
+      },
+      renderValue: function(el, x, instance) {
+        return instance.renderValue(x);
+      },
+      resize: function(el, width, height, instance) {
+        return instance.resize(width, height);
+      }
+    };
+
+    if (defn.find)
+      result.find = defn.find;
+    if (defn.renderError)
+      result.renderError = defn.renderError;
+    if (defn.clearError)
+      result.clearError = defn.clearError;
+
+    return result;
+  }
+})();
+</script>
+<style type="text/css">.dt-crosstalk-fade {
+opacity: 0.2;
+}
+html body div.DTS div.dataTables_scrollBody {
+background: none;
+}
+
+table.dataTable {
+display: table;
+}
+
+.html-fill-container > .html-fill-item.datatables {
+flex-basis: 400px;
+}
+</style>
+<script>(function() {
+
+// some helper functions: using a global object DTWidget so that it can be used
+// in JS() code, e.g. datatable(options = list(foo = JS('code'))); unlike R's
+// dynamic scoping, when 'code' is eval()'ed, JavaScript does not know objects
+// from the "parent frame", e.g. JS('DTWidget') will not work unless it was made
+// a global object
+var DTWidget = {};
+
+// 123456666.7890 -> 123,456,666.7890
+var markInterval = function(d, digits, interval, mark, decMark, precision) {
+  x = precision ? d.toPrecision(digits) : d.toFixed(digits);
+  if (!/^-?[\d.]+$/.test(x)) return x;
+  var xv = x.split('.');
+  if (xv.length > 2) return x;  // should have at most one decimal point
+  xv[0] = xv[0].replace(new RegExp('\\B(?=(\\d{' + interval + '})+(?!\\d))', 'g'), mark);
+  return xv.join(decMark);
+};
+
+DTWidget.formatCurrency = function(data, currency, digits, interval, mark, decMark, before, zeroPrint) {
+  var d = parseFloat(data);
+  if (isNaN(d)) return '';
+  if (zeroPrint !== null && d === 0.0) return zeroPrint;
+  var res = markInterval(d, digits, interval, mark, decMark);
+  res = before ? (/^-/.test(res) ? '-' + currency + res.replace(/^-/, '') : currency + res) :
+    res + currency;
+  return res;
+};
+
+DTWidget.formatString = function(data, prefix, suffix) {
+  var d = data;
+  if (d === null) return '';
+  return prefix + d + suffix;
+};
+
+DTWidget.formatPercentage = function(data, digits, interval, mark, decMark, zeroPrint) {
+  var d = parseFloat(data);
+  if (isNaN(d)) return '';
+  if (zeroPrint !== null && d === 0.0) return zeroPrint;
+  return markInterval(d * 100, digits, interval, mark, decMark) + '%';
+};
+
+DTWidget.formatRound = function(data, digits, interval, mark, decMark, zeroPrint) {
+  var d = parseFloat(data);
+  if (isNaN(d)) return '';
+  if (zeroPrint !== null && d === 0.0) return zeroPrint;
+  return markInterval(d, digits, interval, mark, decMark);
+};
+
+DTWidget.formatSignif = function(data, digits, interval, mark, decMark, zeroPrint) {
+  var d = parseFloat(data);
+  if (isNaN(d)) return '';
+  if (zeroPrint !== null && d === 0.0) return zeroPrint;
+  return markInterval(d, digits, interval, mark, decMark, true);
+};
+
+DTWidget.formatDate = function(data, method, params) {
+  var d = data;
+  if (d === null) return '';
+  // (new Date('2015-10-28')).toDateString() may return 2015-10-27 because the
+  // actual time created could be like 'Tue Oct 27 2015 19:00:00 GMT-0500 (CDT)',
+  // i.e. the date-only string is treated as UTC time instead of local time
+  if ((method === 'toDateString' || method === 'toLocaleDateString') && /^\d{4,}\D\d{2}\D\d{2}$/.test(d)) {
+    d = d.split(/\D/);
+    d = new Date(d[0], d[1] - 1, d[2]);
+  } else {
+    d = new Date(d);
+  }
+  return d[method].apply(d, params);
+};
+
+window.DTWidget = DTWidget;
+
+// A helper function to update the properties of existing filters
+var setFilterProps = function(td, props) {
+  // Update enabled/disabled state
+  var $input = $(td).find('input').first();
+  var searchable = $input.data('searchable');
+  $input.prop('disabled', !searchable || props.disabled);
+
+  // Based on the filter type, set its new values
+  var type = td.getAttribute('data-type');
+  if (['factor', 'logical'].includes(type)) {
+    // Reformat the new dropdown options for use with selectize
+    var new_vals = props.params.options.map(function(item) {
+      return { text: item, value: item };
+    });
+
+    // Find the selectize object
+    var dropdown = $(td).find('.selectized').eq(0)[0].selectize;
+
+    // Note the current values
+    var old_vals = dropdown.getValue();
+
+    // Remove the existing values
+    dropdown.clearOptions();
+
+    // Add the new options
+    dropdown.addOption(new_vals);
+
+    // Preserve the existing values
+    dropdown.setValue(old_vals);
+
+  } else if (['number', 'integer', 'date', 'time'].includes(type)) {
+    // Apply internal scaling to new limits. Updating scale not yet implemented.
+    var slider = $(td).find('.noUi-target').eq(0);
+    var scale = Math.pow(10, Math.max(0, +slider.data('scale') || 0));
+    var new_vals = [props.params.min * scale, props.params.max * scale];
+
+    // Note what the new limits will be just for this filter
+    var new_lims = new_vals.slice();
+
+    // Determine the current values and limits
+    var old_vals = slider.val().map(Number);
+    var old_lims = slider.noUiSlider('options').range;
+    old_lims = [old_lims.min, old_lims.max];
+
+    // Preserve the current values if filters have been applied; otherwise, apply no filtering
+    if (old_vals[0] != old_lims[0]) {
+      new_vals[0] = Math.max(old_vals[0], new_vals[0]);
+    }
+
+    if (old_vals[1] != old_lims[1]) {
+      new_vals[1] = Math.min(old_vals[1], new_vals[1]);
+    }
+
+    // Update the endpoints of the slider
+    slider.noUiSlider({
+      start: new_vals,
+      range: {'min': new_lims[0], 'max': new_lims[1]}
+    }, true);
+  }
+};
+
+var transposeArray2D = function(a) {
+  return a.length === 0 ? a : HTMLWidgets.transposeArray2D(a);
+};
+
+var crosstalkPluginsInstalled = false;
+
+function maybeInstallCrosstalkPlugins() {
+  if (crosstalkPluginsInstalled)
+    return;
+  crosstalkPluginsInstalled = true;
+
+  $.fn.dataTable.ext.afnFiltering.push(
+    function(oSettings, aData, iDataIndex) {
+      var ctfilter = oSettings.nTable.ctfilter;
+      if (ctfilter && !ctfilter[iDataIndex])
+        return false;
+
+      var ctselect = oSettings.nTable.ctselect;
+      if (ctselect && !ctselect[iDataIndex])
+        return false;
+
+      return true;
+    }
+  );
+}
+
+HTMLWidgets.widget({
+  name: "datatables",
+  type: "output",
+  renderOnNullValue: true,
+  initialize: function(el, width, height) {
+    // in order that the type=number inputs return a number
+    $.valHooks.number = {
+      get: function(el) {
+        var value = parseFloat(el.value);
+        return isNaN(value) ? "" : value;
+      }
+    };
+    $(el).html('&nbsp;');
+    return {
+      data: null,
+      ctfilterHandle: new crosstalk.FilterHandle(),
+      ctfilterSubscription: null,
+      ctselectHandle: new crosstalk.SelectionHandle(),
+      ctselectSubscription: null
+    };
+  },
+  renderValue: function(el, data, instance) {
+    if (el.offsetWidth === 0 || el.offsetHeight === 0) {
+      instance.data = data;
+      return;
+    }
+    instance.data = null;
+    var $el = $(el);
+    $el.empty();
+
+    if (data === null) {
+      $el.append('&nbsp;');
+      // clear previous Shiny inputs (if any)
+      for (var i in instance.clearInputs) instance.clearInputs[i]();
+      instance.clearInputs = {};
+      return;
+    }
+
+    var crosstalkOptions = data.crosstalkOptions;
+    if (!crosstalkOptions) crosstalkOptions = {
+      'key': null, 'group': null
+    };
+    if (crosstalkOptions.group) {
+      maybeInstallCrosstalkPlugins();
+      instance.ctfilterHandle.setGroup(crosstalkOptions.group);
+      instance.ctselectHandle.setGroup(crosstalkOptions.group);
+    }
+
+    // if we are in the viewer then we always want to fillContainer and
+    // and autoHideNavigation (unless the user has explicitly set these)
+    if (window.HTMLWidgets.viewerMode) {
+      if (!data.hasOwnProperty("fillContainer"))
+        data.fillContainer = true;
+      if (!data.hasOwnProperty("autoHideNavigation"))
+        data.autoHideNavigation = true;
+    }
+
+    // propagate fillContainer to instance (so we have it in resize)
+    instance.fillContainer = data.fillContainer;
+
+    var cells = data.data;
+
+    if (cells instanceof Array) cells = transposeArray2D(cells);
+
+    $el.append(data.container);
+    var $table = $el.find('table');
+    if (data.class) $table.addClass(data.class);
+    if (data.caption) $table.prepend(data.caption);
+
+    if (!data.selection) data.selection = {
+      mode: 'none', selected: null, target: 'row', selectable: null
+    };
+    if (HTMLWidgets.shinyMode && data.selection.mode !== 'none' &&
+        data.selection.target === 'row+column') {
+      if ($table.children('tfoot').length === 0) {
+        $table.append($('<tfoot>'));
+        $table.find('thead tr').clone().appendTo($table.find('tfoot'));
+      }
+    }
+
+    // column filters
+    var filterRow;
+    switch (data.filter) {
+      case 'top':
+        $table.children('thead').append(data.filterHTML);
+        filterRow = $table.find('thead tr:last td');
+        break;
+      case 'bottom':
+        if ($table.children('tfoot').length === 0) {
+          $table.append($('<tfoot>'));
+        }
+        $table.children('tfoot').prepend(data.filterHTML);
+        filterRow = $table.find('tfoot tr:first td');
+        break;
+    }
+
+    var options = { searchDelay: 1000 };
+    if (cells !== null) $.extend(options, {
+      data: cells
+    });
+
+    // options for fillContainer
+    var bootstrapActive = typeof($.fn.popover) != 'undefined';
+    if (instance.fillContainer) {
+
+      // force scrollX/scrollY and turn off autoWidth
+      options.scrollX = true;
+      options.scrollY = "100px"; // can be any value, we'll adjust below
+
+      // if we aren't paginating then move around the info/filter controls
+      // to save space at the bottom and rephrase the info callback
+      if (data.options.paging === false) {
+
+        // we know how to do this cleanly for bootstrap, not so much
+        // for other themes/layouts
+        if (bootstrapActive) {
+          options.dom = "<'row'<'col-sm-4'i><'col-sm-8'f>>" +
+                        "<'row'<'col-sm-12'tr>>";
+        }
+
+        options.fnInfoCallback = function(oSettings, iStart, iEnd,
+                                           iMax, iTotal, sPre) {
+          return Number(iTotal).toLocaleString() + " records";
+        };
+      }
+    }
+
+    // auto hide navigation if requested
+    // Note, this only works on client-side processing mode as on server-side,
+    // cells (data.data) is null; In addition, we require the pageLength option
+    // being provided explicitly to enable this. Despite we may be able to deduce
+    // the default value of pageLength, it may complicate things so we'd rather
+    // put this responsiblity to users and warn them on the R side.
+    if (data.autoHideNavigation === true && data.options.paging !== false) {
+      // strip all nav if length >= cells
+      if ((cells instanceof Array) && data.options.pageLength >= cells.length)
+        options.dom = bootstrapActive ? "<'row'<'col-sm-12'tr>>" : "t";
+      // alternatively lean things out for flexdashboard mobile portrait
+      else if (bootstrapActive && window.FlexDashboard && window.FlexDashboard.isMobilePhone())
+        options.dom = "<'row'<'col-sm-12'f>>" +
+                      "<'row'<'col-sm-12'tr>>"  +
+                      "<'row'<'col-sm-12'p>>";
+    }
+
+    $.extend(true, options, data.options || {});
+
+    var searchCols = options.searchCols;
+    if (searchCols) {
+      searchCols = searchCols.map(function(x) {
+        return x === null ? '' : x.search;
+      });
+      // FIXME: this means I don't respect the escapeRegex setting
+      delete options.searchCols;
+    }
+
+    // server-side processing?
+    var server = options.serverSide === true;
+
+    // use the dataSrc function to pre-process JSON data returned from R
+    var DT_rows_all = [], DT_rows_current = [];
+    if (server && HTMLWidgets.shinyMode && typeof options.ajax === 'object' &&
+        /^session\/[\da-z]+\/dataobj/.test(options.ajax.url) && !options.ajax.dataSrc) {
+      options.ajax.dataSrc = function(json) {
+        DT_rows_all = $.makeArray(json.DT_rows_all);
+        DT_rows_current = $.makeArray(json.DT_rows_current);
+        var data = json.data;
+        if (!colReorderEnabled()) return data;
+        var table = $table.DataTable(), order = table.colReorder.order(), flag = true, i, j, row;
+        for (i = 0; i < order.length; ++i) if (order[i] !== i) flag = false;
+        if (flag) return data;
+        for (i = 0; i < data.length; ++i) {
+          row = data[i].slice();
+          for (j = 0; j < order.length; ++j) data[i][j] = row[order[j]];
+        }
+        return data;
+      };
+    }
+
+    var thiz = this;
+    if (instance.fillContainer) $table.on('init.dt', function(e) {
+      thiz.fillAvailableHeight(el, $(el).innerHeight());
+    });
+    // If the page contains serveral datatables and one of which enables colReorder,
+    // the table.colReorder.order() function will exist but throws error when called.
+    // So it seems like the only way to know if colReorder is enabled or not is to
+    // check the options.
+    var colReorderEnabled = function() { return "colReorder" in options; };
+    var table = $table.DataTable(options);
+    $el.data('datatable', table);
+
+    // Unregister previous Crosstalk event subscriptions, if they exist
+    if (instance.ctfilterSubscription) {
+      instance.ctfilterHandle.off("change", instance.ctfilterSubscription);
+      instance.ctfilterSubscription = null;
+    }
+    if (instance.ctselectSubscription) {
+      instance.ctselectHandle.off("change", instance.ctselectSubscription);
+      instance.ctselectSubscription = null;
+    }
+
+    if (!crosstalkOptions.group) {
+      $table[0].ctfilter = null;
+      $table[0].ctselect = null;
+    } else {
+      var key = crosstalkOptions.key;
+      function keysToMatches(keys) {
+        if (!keys) {
+          return null;
+        } else {
+          var selectedKeys = {};
+          for (var i = 0; i < keys.length; i++) {
+            selectedKeys[keys[i]] = true;
+          }
+          var matches = {};
+          for (var j = 0; j < key.length; j++) {
+            if (selectedKeys[key[j]])
+              matches[j] = true;
+          }
+          return matches;
+        }
+      }
+
+      function applyCrosstalkFilter(e) {
+        $table[0].ctfilter = keysToMatches(e.value);
+        table.draw();
+      }
+      instance.ctfilterSubscription = instance.ctfilterHandle.on("change", applyCrosstalkFilter);
+      applyCrosstalkFilter({value: instance.ctfilterHandle.filteredKeys});
+
+      function applyCrosstalkSelection(e) {
+        if (e.sender !== instance.ctselectHandle) {
+          table
+            .rows('.' + selClass, {search: 'applied'})
+            .nodes()
+            .to$()
+            .removeClass(selClass);
+          if (selectedRows)
+            changeInput('rows_selected', selectedRows(), void 0, true);
+        }
+
+        if (e.sender !== instance.ctselectHandle && e.value && e.value.length) {
+          var matches = keysToMatches(e.value);
+
+          // persistent selection with plotly (& leaflet)
+          var ctOpts = crosstalk.var("plotlyCrosstalkOpts").get() || {};
+          if (ctOpts.persistent === true) {
+            var matches = $.extend(matches, $table[0].ctselect);
+          }
+
+          $table[0].ctselect = matches;
+          table.draw();
+        } else {
+          if ($table[0].ctselect) {
+            $table[0].ctselect = null;
+            table.draw();
+          }
+        }
+      }
+      instance.ctselectSubscription = instance.ctselectHandle.on("change", applyCrosstalkSelection);
+      // TODO: This next line doesn't seem to work when renderDataTable is used
+      applyCrosstalkSelection({value: instance.ctselectHandle.value});
+    }
+
+    var inArray = function(val, array) {
+      return $.inArray(val, $.makeArray(array)) > -1;
+    };
+
+    // search the i-th column
+    var searchColumn = function(i, value) {
+      var regex = false, ci = true;
+      if (options.search) {
+        regex = options.search.regex,
+        ci = options.search.caseInsensitive !== false;
+      }
+      return table.column(i).search(value, regex, !regex, ci);
+    };
+
+    if (data.filter !== 'none') {
+
+      filterRow.each(function(i, td) {
+
+        var $td = $(td), type = $td.data('type'), filter;
+        var $input = $td.children('div').first().children('input');
+        var disabled = $input.prop('disabled');
+        var searchable = table.settings()[0].aoColumns[i].bSearchable;
+        $input.prop('disabled', !searchable || disabled);
+        $input.data('searchable', searchable); // for updating later
+        $input.on('input blur', function() {
+          $input.next('span').toggle(Boolean($input.val()));
+        });
+        // Bootstrap sets pointer-events to none and we won't be able to click
+        // the clear button
+        $input.next('span').css('pointer-events', 'auto').hide().click(function() {
+          $(this).hide().prev('input').val('').trigger('input').focus();
+        });
+        var searchCol;  // search string for this column
+        if (searchCols && searchCols[i]) {
+          searchCol = searchCols[i];
+          $input.val(searchCol).trigger('input');
+        }
+        var $x = $td.children('div').last();
+
+        // remove the overflow: hidden attribute of the scrollHead
+        // (otherwise the scrolling table body obscures the filters)
+        // The workaround and the discussion from
+        // https://github.com/rstudio/DT/issues/554#issuecomment-518007347
+        // Otherwise the filter selection will not be anchored to the values
+        // when the columns number is many and scrollX is enabled.
+        var scrollHead = $(el).find('.dataTables_scrollHead,.dataTables_scrollFoot');
+        var cssOverflowHead = scrollHead.css('overflow');
+        var scrollBody = $(el).find('.dataTables_scrollBody');
+        var cssOverflowBody = scrollBody.css('overflow');
+        var scrollTable = $(el).find('.dataTables_scroll');
+        var cssOverflowTable = scrollTable.css('overflow');
+        if (cssOverflowHead === 'hidden') {
+          $x.on('show hide', function(e) {
+            if (e.type === 'show') {
+              scrollHead.css('overflow', 'visible');
+              scrollBody.css('overflow', 'visible');
+              scrollTable.css('overflow-x', 'scroll');
+            } else {
+              scrollHead.css('overflow', cssOverflowHead);
+              scrollBody.css('overflow', cssOverflowBody);
+              scrollTable.css('overflow-x', cssOverflowTable);
+            }
+          });
+          $x.css('z-index', 25);
+        }
+
+        if (inArray(type, ['factor', 'logical'])) {
+          $input.on({
+            click: function() {
+              $input.parent().hide(); $x.show().trigger('show'); filter[0].selectize.focus();
+            },
+            input: function() {
+              if ($input.val() === '') filter[0].selectize.setValue([]);
+            }
+          });
+          var $input2 = $x.children('select');
+          filter = $input2.selectize({
+            options: $input2.data('options').map(function(v, i) {
+              return ({text: v, value: v});
+            }),
+            plugins: ['remove_button'],
+            hideSelected: true,
+            onChange: function(value) {
+              if (value === null) value = []; // compatibility with jQuery 3.0
+              $input.val(value.length ? JSON.stringify(value) : '');
+              if (value.length) $input.trigger('input');
+              $input.attr('title', $input.val());
+              if (server) {
+                table.column(i).search(value.length ? JSON.stringify(value) : '').draw();
+                return;
+              }
+              // turn off filter if nothing selected
+              $td.data('filter', value.length > 0);
+              table.draw();  // redraw table, and filters will be applied
+            }
+          });
+          if (searchCol) filter[0].selectize.setValue(JSON.parse(searchCol));
+          filter[0].selectize.on('blur', function() {
+            $x.hide().trigger('hide'); $input.parent().show(); $input.trigger('blur');
+          });
+          filter.next('div').css('margin-bottom', 'auto');
+        } else if (type === 'character') {
+          var fun = function() {
+            searchColumn(i, $input.val()).draw();
+          };
+          if (server) {
+            fun = $.fn.dataTable.util.throttle(fun, options.searchDelay);
+          }
+          $input.on('input', fun);
+        } else if (inArray(type, ['number', 'integer', 'date', 'time'])) {
+          var $x0 = $x;
+          $x = $x0.children('div').first();
+          $x0.css({
+            'background-color': '#fff',
+            'border': '1px #ddd solid',
+            'border-radius': '4px',
+            'padding': data.vertical ? '35px 20px': '20px 20px 10px 20px'
+          });
+          var $spans = $x0.children('span').css({
+            'margin-top': data.vertical ? '0' : '10px',
+            'white-space': 'nowrap'
+          });
+          var $span1 = $spans.first(), $span2 = $spans.last();
+          var r1 = +$x.data('min'), r2 = +$x.data('max');
+          // when the numbers are too small or have many decimal places, the
+          // slider may have numeric precision problems (#150)
+          var scale = Math.pow(10, Math.max(0, +$x.data('scale') || 0));
+          r1 = Math.round(r1 * scale); r2 = Math.round(r2 * scale);
+          var scaleBack = function(x, scale) {
+            if (scale === 1) return x;
+            var d = Math.round(Math.log(scale) / Math.log(10));
+            // to avoid problems like 3.423/100 -> 0.034230000000000003
+            return (x / scale).toFixed(d);
+          };
+          var slider_min = function() {
+            return filter.noUiSlider('options').range.min;
+          };
+          var slider_max = function() {
+            return filter.noUiSlider('options').range.max;
+          };
+          $input.on({
+            focus: function() {
+              $x0.show().trigger('show');
+              // first, make sure the slider div leaves at least 20px between
+              // the two (slider value) span's
+              $x0.width(Math.max(160, $span1.outerWidth() + $span2.outerWidth() + 20));
+              // then, if the input is really wide or slider is vertical,
+              // make the slider the same width as the input
+              if ($x0.outerWidth() < $input.outerWidth() || data.vertical) {
+                $x0.outerWidth($input.outerWidth());
+              }
+              // make sure the slider div does not reach beyond the right margin
+              if ($(window).width() < $x0.offset().left + $x0.width()) {
+                $x0.offset({
+                  'left': $input.offset().left + $input.outerWidth() - $x0.outerWidth()
+                });
+              }
+            },
+            blur: function() {
+              $x0.hide().trigger('hide');
+            },
+            input: function() {
+              if ($input.val() === '') filter.val([slider_min(), slider_max()]);
+            },
+            change: function() {
+              var v = $input.val().replace(/\s/g, '');
+              if (v === '') return;
+              v = v.split('...');
+              if (v.length !== 2) {
+                $input.parent().addClass('has-error');
+                return;
+              }
+              if (v[0] === '') v[0] = slider_min();
+              if (v[1] === '') v[1] = slider_max();
+              $input.parent().removeClass('has-error');
+              // treat date as UTC time at midnight
+              var strTime = function(x) {
+                var s = type === 'date' ? 'T00:00:00Z' : '';
+                var t = new Date(x + s).getTime();
+                // add 10 minutes to date since it does not hurt the date, and
+                // it helps avoid the tricky floating point arithmetic problems,
+                // e.g. sometimes the date may be a few milliseconds earlier
+                // than the midnight due to precision problems in noUiSlider
+                return type === 'date' ? t + 3600000 : t;
+              };
+              if (inArray(type, ['date', 'time'])) {
+                v[0] = strTime(v[0]);
+                v[1] = strTime(v[1]);
+              }
+              if (v[0] != slider_min()) v[0] *= scale;
+              if (v[1] != slider_max()) v[1] *= scale;
+              filter.val(v);
+            }
+          });
+          var formatDate = function(d, isoFmt) {
+            d = scaleBack(d, scale);
+            if (type === 'number') return d;
+            if (type === 'integer') return parseInt(d);
+            var x = new Date(+d);
+            var fmt = ('filterDateFmt' in data) ? data.filterDateFmt[i] : undefined;
+            if (fmt !== undefined && isoFmt === false) return x[fmt.method].apply(x, fmt.params);
+            if (type === 'date') {
+              var pad0 = function(x) {
+                return ('0' + x).substr(-2, 2);
+              };
+              return x.getUTCFullYear() + '-' + pad0(1 + x.getUTCMonth())
+                      + '-' + pad0(x.getUTCDate());
+            } else {
+              return x.toISOString();
+            }
+          };
+          var opts = type === 'date' ? { step: 60 * 60 * 1000 } :
+                     type === 'integer' ? { step: 1 } : {};
+
+          opts.orientation = data.vertical ? 'vertical': 'horizontal';
+          opts.direction = data.vertical ? 'rtl': 'ltr';
+
+          filter = $x.noUiSlider($.extend({
+            start: [r1, r2],
+            range: {min: r1, max: r2},
+            connect: true
+          }, opts));
+          if (scale > 1) (function() {
+            var t1 = r1, t2 = r2;
+            var val = filter.val();
+            while (val[0] > r1 || val[1] < r2) {
+              if (val[0] > r1) {
+                t1 -= val[0] - r1;
+              }
+              if (val[1] < r2) {
+                t2 += r2 - val[1];
+              }
+              filter = $x.noUiSlider($.extend({
+                start: [t1, t2],
+                range: {min: t1, max: t2},
+                connect: true
+              }, opts), true);
+              val = filter.val();
+            }
+            r1  = t1; r2 = t2;
+          })();
+          var updateSliderText = function(v1, v2) {
+            $span1.text(formatDate(v1, false)); $span2.text(formatDate(v2, false));
+          };
+          updateSliderText(r1, r2);
+          var updateSlider = function(e) {
+            var val = filter.val();
+            // turn off filter if in full range
+            $td.data('filter', val[0] > slider_min() || val[1] < slider_max());
+            var v1 = formatDate(val[0]), v2 = formatDate(val[1]), ival;
+            if ($td.data('filter')) {
+              ival = v1 + ' ... ' + v2;
+              $input.attr('title', ival).val(ival).trigger('input');
+            } else {
+              $input.attr('title', '').val('');
+            }
+            updateSliderText(val[0], val[1]);
+            if (e.type === 'slide') return;  // no searching when sliding only
+            if (server) {
+              table.column(i).search($td.data('filter') ? ival : '').draw();
+              return;
+            }
+            table.draw();
+          };
+          filter.on({
+            set: updateSlider,
+            slide: updateSlider
+          });
+        }
+
+        // server-side processing will be handled by R (or whatever server
+        // language you use); the following code is only needed for client-side
+        // processing
+        if (server) {
+          // if a search string has been pre-set, search now
+          if (searchCol) searchColumn(i, searchCol).draw();
+          return;
+        }
+
+        var customFilter = function(settings, data, dataIndex) {
+          // there is no way to attach a search function to a specific table,
+          // and we need to make sure a global search function is not applied to
+          // all tables (i.e. a range filter in a previous table should not be
+          // applied to the current table); we use the settings object to
+          // determine if we want to perform searching on the current table,
+          // since settings.sTableId will be different to different tables
+          if (table.settings()[0] !== settings) return true;
+          // no filter on this column or no need to filter this column
+          if (typeof filter === 'undefined' || !$td.data('filter')) return true;
+
+          var r = filter.val(), v, r0, r1;
+          var i_data = function(i) {
+            if (!colReorderEnabled()) return i;
+            var order = table.colReorder.order(), k;
+            for (k = 0; k < order.length; ++k) if (order[k] === i) return k;
+            return i; // in theory it will never be here...
+          }
+          v = data[i_data(i)];
+          if (type === 'number' || type === 'integer') {
+            v = parseFloat(v);
+            // how to handle NaN? currently exclude these rows
+            if (isNaN(v)) return(false);
+            r0 = parseFloat(scaleBack(r[0], scale))
+            r1 = parseFloat(scaleBack(r[1], scale));
+            if (v >= r0 && v <= r1) return true;
+          } else if (type === 'date' || type === 'time') {
+            v = new Date(v);
+            r0 = new Date(r[0] / scale); r1 = new Date(r[1] / scale);
+            if (v >= r0 && v <= r1) return true;
+          } else if (type === 'factor') {
+            if (r.length === 0 || inArray(v, r)) return true;
+          } else if (type === 'logical') {
+            if (r.length === 0) return true;
+            if (inArray(v === '' ? 'na' : v, r)) return true;
+          }
+          return false;
+        };
+
+        $.fn.dataTable.ext.search.push(customFilter);
+
+        // search for the preset search strings if it is non-empty
+        if (searchCol) {
+          if (inArray(type, ['factor', 'logical'])) {
+            filter[0].selectize.setValue(JSON.parse(searchCol));
+          } else if (type === 'character') {
+            $input.trigger('input');
+          } else if (inArray(type, ['number', 'integer', 'date', 'time'])) {
+            $input.trigger('change');
+          }
+        }
+
+      });
+
+    }
+
+    // highlight search keywords
+    var highlight = function() {
+      var body = $(table.table().body());
+      // removing the old highlighting first
+      body.unhighlight();
+
+      // don't highlight the "not found" row, so we get the rows using the api
+      if (table.rows({ filter: 'applied' }).data().length === 0) return;
+      // highlight global search keywords
+      body.highlight($.trim(table.search()).split(/\s+/));
+      // then highlight keywords from individual column filters
+      if (filterRow) filterRow.each(function(i, td) {
+        var $td = $(td), type = $td.data('type');
+        if (type !== 'character') return;
+        var $input = $td.children('div').first().children('input');
+        var column = table.column(i).nodes().to$(),
+            val = $.trim($input.val());
+        if (type !== 'character' || val === '') return;
+        column.highlight(val.split(/\s+/));
+      });
+    };
+
+    if (options.searchHighlight) {
+      table
+      .on('draw.dt.dth column-visibility.dt.dth column-reorder.dt.dth', highlight)
+      .on('destroy', function() {
+        // remove event handler
+        table.off('draw.dt.dth column-visibility.dt.dth column-reorder.dt.dth');
+      });
+
+      // Set the option for escaping regex characters in our search string.  This will be used
+      // for all future matching.
+      jQuery.fn.highlight.options.escapeRegex = (!options.search || !options.search.regex);
+
+      // initial highlight for state saved conditions and initial states
+      highlight();
+    }
+
+    // run the callback function on the table instance
+    if (typeof data.callback === 'function') data.callback(table);
+
+    // double click to edit the cell, row, column, or all cells
+    if (data.editable) table.on('dblclick.dt', 'tbody td', function(e) {
+      // only bring up the editor when the cell itself is dbclicked, and ignore
+      // other dbclick events bubbled up (e.g. from the <input>)
+      if (e.target !== this) return;
+      var target = [], immediate = false;
+      switch (data.editable.target) {
+        case 'cell':
+          target = [this];
+          immediate = true;  // edit will take effect immediately
+          break;
+        case 'row':
+          target = table.cells(table.cell(this).index().row, '*').nodes();
+          break;
+        case 'column':
+          target = table.cells('*', table.cell(this).index().column).nodes();
+          break;
+        case 'all':
+          target = table.cells().nodes();
+          break;
+        default:
+          throw 'The editable parameter must be "cell", "row", "column", or "all"';
+      }
+      var disableCols = data.editable.disable ? data.editable.disable.columns : null;
+      var numericCols = data.editable.numeric;
+      var areaCols = data.editable.area;
+      for (var i = 0; i < target.length; i++) {
+        (function(cell, current) {
+          var $cell = $(cell), html = $cell.html();
+          var _cell = table.cell(cell), value = _cell.data(), index = _cell.index().column;
+          var $input;
+          if (inArray(index, numericCols)) {
+            $input = $('<input type="number">');
+          } else if (inArray(index, areaCols)) {
+            $input = $('<textarea></textarea>');
+          } else {
+            $input = $('<input type="text">');
+          }
+          if (!immediate) {
+            $cell.data('input', $input).data('html', html);
+            $input.attr('title', 'Hit Ctrl+Enter to finish editing, or Esc to cancel');
+          }
+          $input.val(value);
+          if (inArray(index, disableCols)) {
+            $input.attr('readonly', '').css('filter', 'invert(25%)');
+          }
+          $cell.empty().append($input);
+          if (cell === current) $input.focus();
+          $input.css('width', '100%');
+
+          if (immediate) $input.on('blur', function(e) {
+            var valueNew = $input.val();
+            if (valueNew !== value) {
+              _cell.data(valueNew);
+              if (HTMLWidgets.shinyMode) {
+                changeInput('cell_edit', [cellInfo(cell)], 'DT.cellInfo', null, {priority: 'event'});
+              }
+              // for server-side processing, users have to call replaceData() to update the table
+              if (!server) table.draw(false);
+            } else {
+              $cell.html(html);
+            }
+          }).on('keyup', function(e) {
+            // hit Escape to cancel editing
+            if (e.keyCode === 27) $input.trigger('blur');
+          });
+
+          // bulk edit (row, column, or all)
+          if (!immediate) $input.on('keyup', function(e) {
+            var removeInput = function($cell, restore) {
+              $cell.data('input').remove();
+              if (restore) $cell.html($cell.data('html'));
+            }
+            if (e.keyCode === 27) {
+              for (var i = 0; i < target.length; i++) {
+                removeInput($(target[i]), true);
+              }
+            } else if (e.keyCode === 13 && e.ctrlKey) {
+              // Ctrl + Enter
+              var cell, $cell, _cell, cellData = [];
+              for (var i = 0; i < target.length; i++) {
+                cell = target[i]; $cell = $(cell); _cell = table.cell(cell);
+                _cell.data($cell.data('input').val());
+                HTMLWidgets.shinyMode && cellData.push(cellInfo(cell));
+                removeInput($cell, false);
+              }
+              if (HTMLWidgets.shinyMode) {
+                changeInput('cell_edit', cellData, 'DT.cellInfo', null, {priority: "event"});
+              }
+              if (!server) table.draw(false);
+            }
+          });
+        })(target[i], this);
+      }
+    });
+
+    // interaction with shiny
+    if (!HTMLWidgets.shinyMode && !crosstalkOptions.group) return;
+
+    var methods = {};
+    var shinyData = {};
+
+    methods.updateCaption = function(caption) {
+      if (!caption) return;
+      $table.children('caption').replaceWith(caption);
+    }
+
+    // register clear functions to remove input values when the table is removed
+    instance.clearInputs = {};
+
+    var changeInput = function(id, value, type, noCrosstalk, opts) {
+      var event = id;
+      id = el.id + '_' + id;
+      if (type) id = id + ':' + type;
+      // do not update if the new value is the same as old value
+      if (event !== 'cell_edit' && !/_clicked$/.test(event) && shinyData.hasOwnProperty(id) && shinyData[id] === JSON.stringify(value))
+        return;
+      shinyData[id] = JSON.stringify(value);
+      if (HTMLWidgets.shinyMode && Shiny.setInputValue) {
+        Shiny.setInputValue(id, value, opts);
+        if (!instance.clearInputs[id]) instance.clearInputs[id] = function() {
+          Shiny.setInputValue(id, null);
+        }
+      }
+
+      // HACK
+      if (event === "rows_selected" && !noCrosstalk) {
+        if (crosstalkOptions.group) {
+          var keys = crosstalkOptions.key;
+          var selectedKeys = null;
+          if (value) {
+            selectedKeys = [];
+            for (var i = 0; i < value.length; i++) {
+              // The value array's contents use 1-based row numbers, so we must
+              // convert to 0-based before indexing into the keys array.
+              selectedKeys.push(keys[value[i] - 1]);
+            }
+          }
+          instance.ctselectHandle.set(selectedKeys);
+        }
+      }
+    };
+
+    var addOne = function(x) {
+      return x.map(function(i) { return 1 + i; });
+    };
+
+    var unique = function(x) {
+      var ux = [];
+      $.each(x, function(i, el){
+        if ($.inArray(el, ux) === -1) ux.push(el);
+      });
+      return ux;
+    }
+
+    // change the row index of a cell
+    var tweakCellIndex = function(cell) {
+      var info = cell.index();
+      // some cell may not be valid. e.g, #759
+      // when using the RowGroup extension, datatables will
+      // generate the row label and the cells are not part of
+      // the data thus contain no row/col info
+      if (info === undefined)
+        return {row: null, col: null};
+      if (server) {
+        info.row = DT_rows_current[info.row];
+      } else {
+        info.row += 1;
+      }
+      return {row: info.row, col: info.column};
+    }
+
+    var cleanSelectedValues = function() {
+      changeInput('rows_selected', []);
+      changeInput('columns_selected', []);
+      changeInput('cells_selected', transposeArray2D([]), 'shiny.matrix');
+    }
+    // #828 we should clean the selection on the server-side when the table reloads
+    cleanSelectedValues();
+
+    // a flag to indicates if select extension is initialized or not
+    var flagSelectExt = table.settings()[0]._select !== undefined;
+    // the Select extension should only be used in the client mode and
+    // when the selection.mode is set to none
+    if (data.selection.mode === 'none' && !server && flagSelectExt) {
+      var updateRowsSelected = function() {
+        var rows = table.rows({selected: true});
+        var selected = [];
+        $.each(rows.indexes().toArray(), function(i, v) {
+          selected.push(v + 1);
+        });
+        changeInput('rows_selected', selected);
+      }
+      var updateColsSelected = function() {
+        var columns = table.columns({selected: true});
+        changeInput('columns_selected', columns.indexes().toArray());
+      }
+      var updateCellsSelected = function() {
+        var cells = table.cells({selected: true});
+        var selected = [];
+        cells.every(function() {
+          var row = this.index().row;
+          var col = this.index().column;
+          selected = selected.concat([[row + 1, col]]);
+        });
+        changeInput('cells_selected', transposeArray2D(selected), 'shiny.matrix');
+      }
+      table.on('select deselect', function(e, dt, type, indexes) {
+        updateRowsSelected();
+        updateColsSelected();
+        updateCellsSelected();
+      })
+    }
+
+    var selMode = data.selection.mode, selTarget = data.selection.target;
+    var selDisable = data.selection.selectable === false;
+    if (inArray(selMode, ['single', 'multiple'])) {
+      var selClass = inArray(data.style, ['bootstrap', 'bootstrap4']) ? 'active' : 'selected';
+      // selected1: row indices; selected2: column indices
+      var initSel = function(x) {
+        if (x === null || typeof x === 'boolean' || selTarget === 'cell') {
+          return {rows: [], cols: []};
+        } else if (selTarget === 'row') {
+          return {rows: $.makeArray(x), cols: []};
+        } else if (selTarget === 'column') {
+          return {rows: [], cols: $.makeArray(x)};
+        } else if (selTarget === 'row+column') {
+          return {rows: $.makeArray(x.rows), cols: $.makeArray(x.cols)};
+        }
+      }
+      var selected = data.selection.selected;
+      var selected1 = initSel(selected).rows, selected2 = initSel(selected).cols;
+      // selectable should contain either all positive or all non-positive values, not both
+      // positive values indicate "selectable" while non-positive values means "nonselectable"
+      // the assertion is performed on R side. (only column indicides could be zero which indicates
+      // the row name)
+      var selectable = data.selection.selectable;
+      var selectable1 = initSel(selectable).rows, selectable2 = initSel(selectable).cols;
+
+      // After users reorder the rows or filter the table, we cannot use the table index
+      // directly. Instead, we need this function to find out the rows between the two clicks.
+      // If user filter the table again between the start click and the end click, the behavior
+      // would be undefined, but it should not be a problem.
+      var shiftSelRowsIndex = function(start, end) {
+        var indexes = server ? DT_rows_all : table.rows({ search: 'applied' }).indexes().toArray();
+        start = indexes.indexOf(start); end = indexes.indexOf(end);
+        // if start is larger than end, we need to swap
+        if (start > end) {
+          var tmp = end; end = start; start = tmp;
+        }
+        return indexes.slice(start, end + 1);
+      }
+
+      var serverRowIndex = function(clientRowIndex) {
+        return server ? DT_rows_current[clientRowIndex] : clientRowIndex + 1;
+      }
+
+      // row, column, or cell selection
+      var lastClickedRow;
+      if (inArray(selTarget, ['row', 'row+column'])) {
+        // Get the current selected rows. It will also
+        // update the selected1's value based on the current row selection state
+        // Note we can't put this function inside selectRows() directly,
+        // the reason is method.selectRows() will override selected1's value but this
+        // function will add rows to selected1 (keep the existing selection), which is
+        // inconsistent with column and cell selection.
+        var selectedRows = function() {
+          var rows = table.rows('.' + selClass);
+          var idx = rows.indexes().toArray();
+          if (!server) {
+            selected1 = addOne(idx);
+            return selected1;
+          }
+          idx = idx.map(function(i) {
+            return DT_rows_current[i];
+          });
+          selected1 = selMode === 'multiple' ? unique(selected1.concat(idx)) : idx;
+          return selected1;
+        }
+        // Change selected1's value based on selectable1, then refresh the row state
+        var onlyKeepSelectableRows = function() {
+          if (selDisable) { // users can't select; useful when only want backend select
+            selected1 = [];
+            return;
+          }
+          if (selectable1.length === 0) return;
+          var nonselectable = selectable1[0] <= 0;
+          if (nonselectable) {
+            // should make selectable1 positive
+            selected1 = $(selected1).not(selectable1.map(function(i) { return -i; })).get();
+          } else {
+            selected1 = $(selected1).filter(selectable1).get();
+          }
+        }
+        // Change selected1's value based on selectable1, then
+        // refresh the row selection state according to values in selected1
+        var selectRows = function(ignoreSelectable) {
+          if (!ignoreSelectable) onlyKeepSelectableRows();
+          table.$('tr.' + selClass).removeClass(selClass);
+          if (selected1.length === 0) return;
+          if (server) {
+            table.rows({page: 'current'}).every(function() {
+              if (inArray(DT_rows_current[this.index()], selected1)) {
+                $(this.node()).addClass(selClass);
+              }
+            });
+          } else {
+            var selected0 = selected1.map(function(i) { return i - 1; });
+            $(table.rows(selected0).nodes()).addClass(selClass);
+          }
+        }
+        table.on('mousedown.dt', 'tbody tr', function(e) {
+          var $this = $(this), thisRow = table.row(this);
+          if (selMode === 'multiple') {
+            if (e.shiftKey && lastClickedRow !== undefined) {
+              // select or de-select depends on the last clicked row's status
+              var flagSel = !$this.hasClass(selClass);
+              var crtClickedRow = serverRowIndex(thisRow.index());
+              if (server) {
+                var rowsIndex = shiftSelRowsIndex(lastClickedRow, crtClickedRow);
+                // update current page's selClass
+                rowsIndex.map(function(i) {
+                  var rowIndex = DT_rows_current.indexOf(i);
+                  if (rowIndex >= 0) {
+                    var row = table.row(rowIndex).nodes().to$();
+                    var flagRowSel = !row.hasClass(selClass);
+                    if (flagSel === flagRowSel) row.toggleClass(selClass);
+                  }
+                });
+                // update selected1
+                if (flagSel) {
+                  selected1 = unique(selected1.concat(rowsIndex));
+                } else {
+                  selected1 = selected1.filter(function(index) {
+                    return !inArray(index, rowsIndex);
+                  });
+                }
+              } else {
+                // js starts from 0
+                shiftSelRowsIndex(lastClickedRow - 1, crtClickedRow - 1).map(function(value) {
+                  var row = table.row(value).nodes().to$();
+                  var flagRowSel = !row.hasClass(selClass);
+                  if (flagSel === flagRowSel) row.toggleClass(selClass);
+                });
+              }
+              e.preventDefault();
+            } else {
+              $this.toggleClass(selClass);
+            }
+          } else {
+            if ($this.hasClass(selClass)) {
+              $this.removeClass(selClass);
+            } else {
+              table.$('tr.' + selClass).removeClass(selClass);
+              $this.addClass(selClass);
+            }
+          }
+          if (server && !$this.hasClass(selClass)) {
+            var id = DT_rows_current[thisRow.index()];
+            // remove id from selected1 since its class .selected has been removed
+            if (inArray(id, selected1)) selected1.splice($.inArray(id, selected1), 1);
+          }
+          selectedRows(); // update selected1's value based on selClass
+          selectRows(false); // only keep the selectable rows
+          changeInput('rows_selected', selected1);
+          changeInput('row_last_clicked', serverRowIndex(thisRow.index()), null, null, {priority: 'event'});
+          lastClickedRow = serverRowIndex(thisRow.index());
+        });
+        selectRows(false);  // in case users have specified pre-selected rows
+        // restore selected rows after the table is redrawn (e.g. sort/search/page);
+        // client-side tables will preserve the selections automatically; for
+        // server-side tables, we have to *real* row indices are in `selected1`
+        changeInput('rows_selected', selected1);
+        if (server) table.on('draw.dt', function(e) { selectRows(false); });
+        methods.selectRows = function(selected, ignoreSelectable) {
+          selected1 = $.makeArray(selected);
+          selectRows(ignoreSelectable);
+          changeInput('rows_selected', selected1);
+        }
+      }
+
+      if (inArray(selTarget, ['column', 'row+column'])) {
+        if (selTarget === 'row+column') {
+          $(table.columns().footer()).css('cursor', 'pointer');
+        }
+        // update selected2's value based on selectable2
+        var onlyKeepSelectableCols = function() {
+          if (selDisable) { // users can't select; useful when only want backend select
+            selected2 = [];
+            return;
+          }
+          if (selectable2.length === 0) return;
+          var nonselectable = selectable2[0] <= 0;
+          if (nonselectable) {
+            // need to make selectable2 positive
+            selected2 = $(selected2).not(selectable2.map(function(i) { return -i; })).get();
+          } else {
+            selected2 = $(selected2).filter(selectable2).get();
+          }
+        }
+        // update selected2 and then
+        // refresh the col selection state according to values in selected2
+        var selectCols = function(ignoreSelectable) {
+          if (!ignoreSelectable) onlyKeepSelectableCols();
+          // if selected2 is not a valide index (e.g., larger than the column number)
+          // table.columns(selected2) will fail and result in a blank table
+          // this is different from the table.rows(), where the out-of-range indexes
+          // doesn't affect at all
+          selected2 = $(selected2).filter(table.columns().indexes()).get();
+          table.columns().nodes().flatten().to$().removeClass(selClass);
+          if (selected2.length > 0)
+            table.columns(selected2).nodes().flatten().to$().addClass(selClass);
+        }
+        var callback = function() {
+          var colIdx = selTarget === 'column' ? table.cell(this).index().column :
+              $.inArray(this, table.columns().footer()),
+              thisCol = $(table.column(colIdx).nodes());
+          if (colIdx === -1) return;
+          if (thisCol.hasClass(selClass)) {
+            thisCol.removeClass(selClass);
+            selected2.splice($.inArray(colIdx, selected2), 1);
+          } else {
+            if (selMode === 'single') $(table.cells().nodes()).removeClass(selClass);
+            thisCol.addClass(selClass);
+            selected2 = selMode === 'single' ? [colIdx] : unique(selected2.concat([colIdx]));
+          }
+          selectCols(false); // update selected2 based on selectable
+          changeInput('columns_selected', selected2);
+        }
+        if (selTarget === 'column') {
+          $(table.table().body()).on('click.dt', 'td', callback);
+        } else {
+          $(table.table().footer()).on('click.dt', 'tr th', callback);
+        }
+        selectCols(false);  // in case users have specified pre-selected columns
+        changeInput('columns_selected', selected2);
+        if (server) table.on('draw.dt', function(e) { selectCols(false); });
+        methods.selectColumns = function(selected, ignoreSelectable) {
+          selected2 = $.makeArray(selected);
+          selectCols(ignoreSelectable);
+          changeInput('columns_selected', selected2);
+        }
+      }
+
+      if (selTarget === 'cell') {
+        var selected3 = [], selectable3 = [];
+        if (selected !== null) selected3 = selected;
+        if (selectable !== null && typeof selectable !== 'boolean') selectable3 = selectable;
+        var findIndex = function(ij, sel) {
+          for (var i = 0; i < sel.length; i++) {
+            if (ij[0] === sel[i][0] && ij[1] === sel[i][1]) return i;
+          }
+          return -1;
+        }
+         // Change selected3's value based on selectable3, then refresh the cell state
+        var onlyKeepSelectableCells = function() {
+          if (selDisable) { // users can't select; useful when only want backend select
+            selected3 = [];
+            return;
+          }
+          if (selectable3.length === 0) return;
+          var nonselectable = selectable3[0][0] <= 0;
+          var out = [];
+          if (nonselectable) {
+            selected3.map(function(ij) {
+              // should make selectable3 positive
+              if (findIndex([-ij[0], -ij[1]], selectable3) === -1) { out.push(ij); }
+            });
+          } else {
+            selected3.map(function(ij) {
+              if (findIndex(ij, selectable3) > -1) { out.push(ij); }
+            });
+          }
+          selected3 = out;
+        }
+        // Change selected3's value based on selectable3, then
+        // refresh the cell selection state according to values in selected3
+        var selectCells = function(ignoreSelectable) {
+          if (!ignoreSelectable) onlyKeepSelectableCells();
+          table.$('td.' + selClass).removeClass(selClass);
+          if (selected3.length === 0) return;
+          if (server) {
+            table.cells({page: 'current'}).every(function() {
+              var info = tweakCellIndex(this);
+              if (findIndex([info.row, info.col], selected3) > -1)
+                $(this.node()).addClass(selClass);
+            });
+          } else {
+            selected3.map(function(ij) {
+              $(table.cell(ij[0] - 1, ij[1]).node()).addClass(selClass);
+            });
+          }
+        };
+        table.on('click.dt', 'tbody td', function() {
+          var $this = $(this), info = tweakCellIndex(table.cell(this));
+          if ($this.hasClass(selClass)) {
+            $this.removeClass(selClass);
+            selected3.splice(findIndex([info.row, info.col], selected3), 1);
+          } else {
+            if (selMode === 'single') $(table.cells().nodes()).removeClass(selClass);
+            $this.addClass(selClass);
+            selected3 = selMode === 'single' ? [[info.row, info.col]] :
+              unique(selected3.concat([[info.row, info.col]]));
+          }
+          selectCells(false); // must call this to update selected3 based on selectable3
+          changeInput('cells_selected', transposeArray2D(selected3), 'shiny.matrix');
+        });
+        selectCells(false);  // in case users have specified pre-selected columns
+        changeInput('cells_selected', transposeArray2D(selected3), 'shiny.matrix');
+
+        if (server) table.on('draw.dt', function(e) { selectCells(false); });
+        methods.selectCells = function(selected, ignoreSelectable) {
+          selected3 = selected ? selected : [];
+          selectCells(ignoreSelectable);
+          changeInput('cells_selected', transposeArray2D(selected3), 'shiny.matrix');
+        }
+      }
+    }
+
+    // expose some table info to Shiny
+    var updateTableInfo = function(e, settings) {
+      // TODO: is anyone interested in the page info?
+      // changeInput('page_info', table.page.info());
+      var updateRowInfo = function(id, modifier) {
+        var idx;
+        if (server) {
+          idx = modifier.page === 'current' ? DT_rows_current : DT_rows_all;
+        } else {
+          var rows = table.rows($.extend({
+            search: 'applied',
+            page: 'all'
+          }, modifier));
+          idx = addOne(rows.indexes().toArray());
+        }
+        changeInput('rows' + '_' + id, idx);
+      };
+      updateRowInfo('current', {page: 'current'});
+      updateRowInfo('all', {});
+    }
+    table.on('draw.dt', updateTableInfo);
+    updateTableInfo();
+
+    // state info
+    table.on('draw.dt column-visibility.dt', function() {
+      changeInput('state', table.state());
+    });
+    changeInput('state', table.state());
+
+    // search info
+    var updateSearchInfo = function() {
+      changeInput('search', table.search());
+      if (filterRow) changeInput('search_columns', filterRow.toArray().map(function(td) {
+        return $(td).find('input').first().val();
+      }));
+    }
+    table.on('draw.dt', updateSearchInfo);
+    updateSearchInfo();
+
+    var cellInfo = function(thiz) {
+      var info = tweakCellIndex(table.cell(thiz));
+      info.value = table.cell(thiz).data();
+      return info;
+    }
+    // the current cell clicked on
+    table.on('click.dt', 'tbody td', function() {
+      changeInput('cell_clicked', cellInfo(this), null, null, {priority: 'event'});
+    })
+    changeInput('cell_clicked', {});
+
+    // do not trigger table selection when clicking on links unless they have classes
+    table.on('click.dt', 'tbody td a', function(e) {
+      if (this.className === '') e.stopPropagation();
+    });
+
+    methods.addRow = function(data, rowname, resetPaging) {
+      var n = table.columns().indexes().length, d = n - data.length;
+      if (d === 1) {
+        data = rowname.concat(data)
+      } else if (d !== 0) {
+        console.log(data);
+        console.log(table.columns().indexes());
+        throw 'New data must be of the same length as current data (' + n + ')';
+      };
+      table.row.add(data).draw(resetPaging);
+    }
+
+    methods.updateSearch = function(keywords) {
+      if (keywords.global !== null)
+        $(table.table().container()).find('input[type=search]').first()
+             .val(keywords.global).trigger('input');
+      var columns = keywords.columns;
+      if (!filterRow || columns === null) return;
+      filterRow.toArray().map(function(td, i) {
+        var v = typeof columns === 'string' ? columns : columns[i];
+        if (typeof v === 'undefined') {
+          console.log('The search keyword for column ' + i + ' is undefined')
+          return;
+        }
+        $(td).find('input').first().val(v);
+        searchColumn(i, v);
+      });
+      table.draw();
+    }
+
+    methods.hideCols = function(hide, reset) {
+      if (reset) table.columns().visible(true, false);
+      table.columns(hide).visible(false);
+    }
+
+    methods.showCols = function(show, reset) {
+      if (reset) table.columns().visible(false, false);
+      table.columns(show).visible(true);
+    }
+
+    methods.colReorder = function(order, origOrder) {
+      table.colReorder.order(order, origOrder);
+    }
+
+    methods.selectPage = function(page) {
+      if (table.page.info().pages < page || page < 1) {
+        throw 'Selected page is out of range';
+      };
+      table.page(page - 1).draw(false);
+    }
+
+    methods.reloadData = function(resetPaging, clearSelection) {
+      // empty selections first if necessary
+      if (methods.selectRows && inArray('row', clearSelection)) methods.selectRows([]);
+      if (methods.selectColumns && inArray('column', clearSelection)) methods.selectColumns([]);
+      if (methods.selectCells && inArray('cell', clearSelection)) methods.selectCells([]);
+      table.ajax.reload(null, resetPaging);
+    }
+
+    // update table filters (set new limits of sliders)
+    methods.updateFilters = function(newProps) {
+      // loop through each filter in the filter row
+      filterRow.each(function(i, td) {
+        var k = i;
+        if (filterRow.length > newProps.length) {
+          if (i === 0) return;  // first column is row names
+          k = i - 1;
+        }
+        // Update the filters to reflect the updated data.
+        // Allow "falsy" (e.g. NULL) to signify a no-op.
+        if (newProps[k]) {
+          setFilterProps(td, newProps[k]);
+        }
+      });
+    };
+
+    table.shinyMethods = methods;
+  },
+  resize: function(el, width, height, instance) {
+    if (instance.data) this.renderValue(el, instance.data, instance);
+
+    // dynamically adjust height if fillContainer = TRUE
+    if (instance.fillContainer)
+      this.fillAvailableHeight(el, height);
+
+    this.adjustWidth(el);
+  },
+
+  // dynamically set the scroll body to fill available height
+  // (used with fillContainer = TRUE)
+  fillAvailableHeight: function(el, availableHeight) {
+
+    // see how much of the table is occupied by header/footer elements
+    // and use that to compute a target scroll body height
+    var dtWrapper = $(el).find('div.dataTables_wrapper');
+    var dtScrollBody = $(el).find($('div.dataTables_scrollBody'));
+    var framingHeight = dtWrapper.innerHeight() - dtScrollBody.innerHeight();
+    var scrollBodyHeight = availableHeight - framingHeight;
+
+    // we need to set `max-height` to none as datatables library now sets this
+    // to a fixed height, disabling the ability to resize to fill the window,
+    // as it will be set to a fixed 100px under such circumstances, e.g., RStudio IDE,
+    // or FlexDashboard
+    // see https://github.com/rstudio/DT/issues/951#issuecomment-1026464509
+    dtScrollBody.css('max-height', 'none');
+    // set the height
+    dtScrollBody.height(scrollBodyHeight + 'px');
+  },
+
+  // adjust the width of columns; remove the hard-coded widths on table and the
+  // scroll header when scrollX/Y are enabled
+  adjustWidth: function(el) {
+    var $el = $(el), table = $el.data('datatable');
+    if (table) table.columns.adjust();
+    $el.find('.dataTables_scrollHeadInner').css('width', '')
+        .children('table').css('margin-left', '');
+  }
+});
+
+  if (!HTMLWidgets.shinyMode) return;
+
+  Shiny.addCustomMessageHandler('datatable-calls', function(data) {
+    var id = data.id;
+    var el = document.getElementById(id);
+    var table = el ? $(el).data('datatable') : null;
+    if (!table) {
+      console.log("Couldn't find table with id " + id);
+      return;
+    }
+
+    var methods = table.shinyMethods, call = data.call;
+    if (methods[call.method]) {
+      methods[call.method].apply(table, call.args);
+    } else {
+      console.log("Unknown method " + call.method);
+    }
+  });
+
+})();
+</script>
+<script>/*! jQuery v3.6.0 | (c) OpenJS Foundation and other contributors | jquery.org/license */
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+!1;return this.iterator("table",function(b){var c=b.oClasses,d=b.nTable,e=b.nTBody,h=b.nTHead,f=b.nTFoot,g=l(d);e=l(e);var k=l(b.nTableWrapper),m=l.map(b.aoData,function(p){return p.nTr}),n;b.bDestroying=!0;F(b,"aoDestroyCallback","destroy",[b]);a||(new B(b)).columns().visible(!0);k.off(".DT").find(":not(tbody *)").off(".DT");l(y).off(".DT-"+b.sInstance);d!=h.parentNode&&(g.children("thead").detach(),g.append(h));f&&d!=f.parentNode&&(g.children("tfoot").detach(),g.append(f));b.aaSorting=[];b.aaSortingFixed=
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+sWidth:null,sWidthOrig:null};u.defaults={aaData:null,aaSorting:[[0,"asc"]],aaSortingFixed:[],ajax:null,aLengthMenu:[10,25,50,100],aoColumns:null,aoColumnDefs:null,aoSearchCols:[],asStripeClasses:null,bAutoWidth:!0,bDeferRender:!1,bDestroy:!1,bFilter:!0,bInfo:!0,bLengthChange:!0,bPaginate:!0,bProcessing:!1,bRetrieve:!1,bScrollCollapse:!1,bServerSide:!1,bSort:!0,bSortMulti:!0,bSortCellsTop:!1,bSortClasses:!0,bStateSave:!1,fnCreatedRow:null,fnDrawCallback:null,fnFooterCallback:null,fnFormatNumber:function(a){return a.toString().replace(/\B(?=(\d{3})+(?!\d))/g,
+this.oLanguage.sThousands)},fnHeaderCallback:null,fnInfoCallback:null,fnInitComplete:null,fnPreDrawCallback:null,fnRowCallback:null,fnServerData:null,fnServerParams:null,fnStateLoadCallback:function(a){try{return JSON.parse((-1===a.iStateDuration?sessionStorage:localStorage).getItem("DataTables_"+a.sInstance+"_"+location.pathname))}catch(b){return{}}},fnStateLoadParams:null,fnStateLoaded:null,fnStateSaveCallback:function(a,b){try{(-1===a.iStateDuration?sessionStorage:localStorage).setItem("DataTables_"+
+a.sInstance+"_"+location.pathname,JSON.stringify(b))}catch(c){}},fnStateSaveParams:null,iStateDuration:7200,iDeferLoading:null,iDisplayLength:10,iDisplayStart:0,iTabIndex:0,oClasses:{},oLanguage:{oAria:{sSortAscending:": activate to sort column ascending",sSortDescending:": activate to sort column descending"},oPaginate:{sFirst:"First",sLast:"Last",sNext:"Next",sPrevious:"Previous"},sEmptyTable:"No data available in table",sInfo:"Showing _START_ to _END_ of _TOTAL_ entries",sInfoEmpty:"Showing 0 to 0 of 0 entries",
+sInfoFiltered:"(filtered from _MAX_ total entries)",sInfoPostFix:"",sDecimal:"",sThousands:",",sLengthMenu:"Show _MENU_ entries",sLoadingRecords:"Loading...",sProcessing:"",sSearch:"Search:",sSearchPlaceholder:"",sUrl:"",sZeroRecords:"No matching records found"},oSearch:l.extend({},u.models.oSearch),sAjaxDataProp:"data",sAjaxSource:null,sDom:"lfrtip",searchDelay:null,sPaginationType:"simple_numbers",sScrollX:"",sScrollXInner:"",sScrollY:"",sServerMethod:"GET",renderer:null,rowId:"DT_RowId"};E(u.defaults);
+u.defaults.column={aDataSort:null,iDataSort:-1,asSorting:["asc","desc"],bSearchable:!0,bSortable:!0,bVisible:!0,fnCreatedCell:null,mData:null,mRender:null,sCellType:"td",sClass:"",sContentPadding:"",sDefaultContent:null,sName:"",sSortDataType:"std",sTitle:null,sType:null,sWidth:null};E(u.defaults.column);u.models.oSettings={oFeatures:{bAutoWidth:null,bDeferRender:null,bFilter:null,bInfo:null,bLengthChange:null,bPaginate:null,bProcessing:null,bServerSide:null,bSort:null,bSortMulti:null,bSortClasses:null,
+bStateSave:null},oScroll:{bCollapse:null,iBarWidth:0,sX:null,sXInner:null,sY:null},oLanguage:{fnInfoCallback:null},oBrowser:{bScrollOversize:!1,bScrollbarLeft:!1,bBounding:!1,barWidth:0},ajax:null,aanFeatures:[],aoData:[],aiDisplay:[],aiDisplayMaster:[],aIds:{},aoColumns:[],aoHeader:[],aoFooter:[],oPreviousSearch:{},aoPreSearchCols:[],aaSorting:null,aaSortingFixed:[],asStripeClasses:null,asDestroyStripes:[],sDestroyWidth:0,aoRowCallback:[],aoHeaderCallback:[],aoFooterCallback:[],aoDrawCallback:[],
+aoRowCreatedCallback:[],aoPreDrawCallback:[],aoInitComplete:[],aoStateSaveParams:[],aoStateLoadParams:[],aoStateLoaded:[],sTableId:"",nTable:null,nTHead:null,nTFoot:null,nTBody:null,nTableWrapper:null,bDeferLoading:!1,bInitialised:!1,aoOpenRows:[],sDom:null,searchDelay:null,sPaginationType:"two_button",iStateDuration:0,aoStateSave:[],aoStateLoad:[],oSavedState:null,oLoadedState:null,sAjaxSource:null,sAjaxDataProp:null,jqXHR:null,json:q,oAjaxData:q,fnServerData:null,aoServerParams:[],sServerMethod:null,
+fnFormatNumber:null,aLengthMenu:null,iDraw:0,bDrawing:!1,iDrawError:-1,_iDisplayLength:10,_iDisplayStart:0,_iRecordsTotal:0,_iRecordsDisplay:0,oClasses:{},bFiltered:!1,bSorted:!1,bSortCellsTop:null,oInit:null,aoDestroyCallback:[],fnRecordsTotal:function(){return"ssp"==Q(this)?1*this._iRecordsTotal:this.aiDisplayMaster.length},fnRecordsDisplay:function(){return"ssp"==Q(this)?1*this._iRecordsDisplay:this.aiDisplay.length},fnDisplayEnd:function(){var a=this._iDisplayLength,b=this._iDisplayStart,c=b+
+a,d=this.aiDisplay.length,e=this.oFeatures,h=e.bPaginate;return e.bServerSide?!1===h||-1===a?b+d:Math.min(b+a,this._iRecordsDisplay):!h||c>d||-1===a?d:c},oInstance:null,sInstance:null,iTabIndex:0,nScrollHead:null,nScrollFoot:null,aLastSort:[],oPlugins:{},rowIdFn:null,rowId:null};u.ext=M={buttons:{},classes:{},builder:"-source-",errMode:"alert",feature:[],search:[],selector:{cell:[],column:[],row:[]},internal:{},legacy:{ajax:null},pager:{},renderer:{pageButton:{},header:{}},order:{},type:{detect:[],
+search:{},order:{}},_unique:0,fnVersionCheck:u.fnVersionCheck,iApiIndex:0,oJUIClasses:{},sVersion:u.version};l.extend(M,{afnFiltering:M.search,aTypes:M.type.detect,ofnSearch:M.type.search,oSort:M.type.order,afnSortData:M.order,aoFeatures:M.feature,oApi:M.internal,oStdClasses:M.classes,oPagination:M.pager});l.extend(u.ext.classes,{sTable:"dataTable",sNoFooter:"no-footer",sPageButton:"paginate_button",sPageButtonActive:"current",sPageButtonDisabled:"disabled",sStripeOdd:"odd",sStripeEven:"even",sRowEmpty:"dataTables_empty",
+sWrapper:"dataTables_wrapper",sFilter:"dataTables_filter",sInfo:"dataTables_info",sPaging:"dataTables_paginate paging_",sLength:"dataTables_length",sProcessing:"dataTables_processing",sSortAsc:"sorting_asc",sSortDesc:"sorting_desc",sSortable:"sorting",sSortableAsc:"sorting_desc_disabled",sSortableDesc:"sorting_asc_disabled",sSortableNone:"sorting_disabled",sSortColumn:"sorting_",sFilterInput:"",sLengthSelect:"",sScrollWrapper:"dataTables_scroll",sScrollHead:"dataTables_scrollHead",sScrollHeadInner:"dataTables_scrollHeadInner",
+sScrollBody:"dataTables_scrollBody",sScrollFoot:"dataTables_scrollFoot",sScrollFootInner:"dataTables_scrollFootInner",sHeaderTH:"",sFooterTH:"",sSortJUIAsc:"",sSortJUIDesc:"",sSortJUI:"",sSortJUIAscAllowed:"",sSortJUIDescAllowed:"",sSortJUIWrapper:"",sSortIcon:"",sJUIHeader:"",sJUIFooter:""});var ic=u.ext.pager;l.extend(ic,{simple:function(a,b){return["previous","next"]},full:function(a,b){return["first","previous","next","last"]},numbers:function(a,b){return[Ea(a,b)]},simple_numbers:function(a,b){return["previous",
+Ea(a,b),"next"]},full_numbers:function(a,b){return["first","previous",Ea(a,b),"next","last"]},first_last_numbers:function(a,b){return["first",Ea(a,b),"last"]},_numbers:Ea,numbers_length:7});l.extend(!0,u.ext.renderer,{pageButton:{_:function(a,b,c,d,e,h){var f=a.oClasses,g=a.oLanguage.oPaginate,k=a.oLanguage.oAria.paginate||{},m,n,p=0,t=function(x,w){var r,C=f.sPageButtonDisabled,G=function(I){Ta(a,I.data.action,!0)};var ba=0;for(r=w.length;ba<r;ba++){var L=w[ba];if(Array.isArray(L)){var O=l("<"+(L.DT_el||
+"div")+"/>").appendTo(x);t(O,L)}else{m=null;n=L;O=a.iTabIndex;switch(L){case "ellipsis":x.append('<span class="ellipsis">&#x2026;</span>');break;case "first":m=g.sFirst;0===e&&(O=-1,n+=" "+C);break;case "previous":m=g.sPrevious;0===e&&(O=-1,n+=" "+C);break;case "next":m=g.sNext;if(0===h||e===h-1)O=-1,n+=" "+C;break;case "last":m=g.sLast;if(0===h||e===h-1)O=-1,n+=" "+C;break;default:m=a.fnFormatNumber(L+1),n=e===L?f.sPageButtonActive:""}null!==m&&(O=l("<a>",{"class":f.sPageButton+" "+n,"aria-controls":a.sTableId,
+"aria-label":k[L],"data-dt-idx":p,tabindex:O,id:0===c&&"string"===typeof L?a.sTableId+"_"+L:null}).html(m).appendTo(x),sb(O,{action:L},G),p++)}}};try{var v=l(b).find(A.activeElement).data("dt-idx")}catch(x){}t(l(b).empty(),d);v!==q&&l(b).find("[data-dt-idx="+v+"]").trigger("focus")}}});l.extend(u.ext.type.detect,[function(a,b){b=b.oLanguage.sDecimal;return yb(a,b)?"num"+b:null},function(a,b){if(a&&!(a instanceof Date)&&!Dc.test(a))return null;b=Date.parse(a);return null!==b&&!isNaN(b)||aa(a)?"date":
+null},function(a,b){b=b.oLanguage.sDecimal;return yb(a,b,!0)?"num-fmt"+b:null},function(a,b){b=b.oLanguage.sDecimal;return pc(a,b)?"html-num"+b:null},function(a,b){b=b.oLanguage.sDecimal;return pc(a,b,!0)?"html-num-fmt"+b:null},function(a,b){return aa(a)||"string"===typeof a&&-1!==a.indexOf("<")?"html":null}]);l.extend(u.ext.type.search,{html:function(a){return aa(a)?a:"string"===typeof a?a.replace(mc," ").replace(Ya,""):""},string:function(a){return aa(a)?a:"string"===typeof a?a.replace(mc," "):
+a}});var Xa=function(a,b,c,d){if(0!==a&&(!a||"-"===a))return-Infinity;b&&(a=oc(a,b));a.replace&&(c&&(a=a.replace(c,"")),d&&(a=a.replace(d,"")));return 1*a};l.extend(M.type.order,{"date-pre":function(a){a=Date.parse(a);return isNaN(a)?-Infinity:a},"html-pre":function(a){return aa(a)?"":a.replace?a.replace(/<.*?>/g,"").toLowerCase():a+""},"string-pre":function(a){return aa(a)?"":"string"===typeof a?a.toLowerCase():a.toString?a.toString():""},"string-asc":function(a,b){return a<b?-1:a>b?1:0},"string-desc":function(a,
+b){return a<b?1:a>b?-1:0}});bb("");l.extend(!0,u.ext.renderer,{header:{_:function(a,b,c,d){l(a.nTable).on("order.dt.DT",function(e,h,f,g){a===h&&(e=c.idx,b.removeClass(d.sSortAsc+" "+d.sSortDesc).addClass("asc"==g[e]?d.sSortAsc:"desc"==g[e]?d.sSortDesc:c.sSortingClass))})},jqueryui:function(a,b,c,d){l("<div/>").addClass(d.sSortJUIWrapper).append(b.contents()).append(l("<span/>").addClass(d.sSortIcon+" "+c.sSortingClassJUI)).appendTo(b);l(a.nTable).on("order.dt.DT",function(e,h,f,g){a===h&&(e=c.idx,
+b.removeClass(d.sSortAsc+" "+d.sSortDesc).addClass("asc"==g[e]?d.sSortAsc:"desc"==g[e]?d.sSortDesc:c.sSortingClass),b.find("span."+d.sSortIcon).removeClass(d.sSortJUIAsc+" "+d.sSortJUIDesc+" "+d.sSortJUI+" "+d.sSortJUIAscAllowed+" "+d.sSortJUIDescAllowed).addClass("asc"==g[e]?d.sSortJUIAsc:"desc"==g[e]?d.sSortJUIDesc:c.sSortingClassJUI))})}}});var $a=function(a){Array.isArray(a)&&(a=a.join(","));return"string"===typeof a?a.replace(/&/g,"&amp;").replace(/</g,"&lt;").replace(/>/g,"&gt;").replace(/"/g,
+"&quot;"):a},kc=!1,zc=",",Ac=".";if(Intl)try{for(var Ha=(new Intl.NumberFormat).formatToParts(100000.1),ra=0;ra<Ha.length;ra++)"group"===Ha[ra].type?zc=Ha[ra].value:"decimal"===Ha[ra].type&&(Ac=Ha[ra].value)}catch(a){}u.datetime=function(a,b){var c="datetime-detect-"+a;b||(b="en");u.ext.type.order[c]||(u.ext.type.detect.unshift(function(d){var e=Za(d,a,b);return""===d||e?c:!1}),u.ext.type.order[c+"-pre"]=function(d){return Za(d,a,b)||0})};u.render={date:wb("toLocaleDateString"),datetime:wb("toLocaleString"),
+time:wb("toLocaleTimeString"),number:function(a,b,c,d,e){if(null===a||a===q)a=zc;if(null===b||b===q)b=Ac;return{display:function(h){if("number"!==typeof h&&"string"!==typeof h||""===h||null===h)return h;var f=0>h?"-":"",g=parseFloat(h);if(isNaN(g))return $a(h);g=g.toFixed(c);h=Math.abs(g);g=parseInt(h,10);h=c?b+(h-g).toFixed(c).substring(2):"";0===g&&0===parseFloat(h)&&(f="");return f+(d||"")+g.toString().replace(/\B(?=(\d{3})+(?!\d))/g,a)+h+(e||"")}}},text:function(){return{display:$a,filter:$a}}};
+l.extend(u.ext.internal,{_fnExternApiFunc:lc,_fnBuildAjax:Qa,_fnAjaxUpdate:Kb,_fnAjaxParameters:Tb,_fnAjaxUpdateDraw:Ub,_fnAjaxDataSrc:za,_fnAddColumn:cb,_fnColumnOptions:Ia,_fnAdjustColumnSizing:sa,_fnVisibleToColumnIndex:ta,_fnColumnIndexToVisible:ua,_fnVisbleColumns:na,_fnGetColumns:Ka,_fnColumnTypes:eb,_fnApplyColumnDefs:Hb,_fnHungarianMap:E,_fnCamelToHungarian:P,_fnLanguageCompat:la,_fnBrowserDetect:Fb,_fnAddData:ia,_fnAddTr:La,_fnNodeToDataIndex:function(a,b){return b._DT_RowIndex!==q?b._DT_RowIndex:
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+
+
+<h1 class="title toc-ignore">An Introduction to the DT Package</h1>
+<h4 class="author">Yihui Xie</h4>
+<h4 class="date">2023-01-17</h4>
+
+
+
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+</style>
+<p>Please see <a href="https://rstudio.github.io/DT/" class="uri">https://rstudio.github.io/DT/</a> for the full
+documentation. Here is only a minimal example:</p>
+<div class="sourceCode" id="cb1"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb1-1"><a href="#cb1-1" aria-hidden="true" tabindex="-1"></a><span class="fu">library</span>(DT)</span>
+<span id="cb1-2"><a href="#cb1-2" aria-hidden="true" tabindex="-1"></a><span class="fu">datatable</span>(iris)</span></code></pre></div>
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Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/doc/index.html
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/doc/index.html	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/doc/index.html	(revision 3761)
@@ -0,0 +1,29 @@
+<!DOCTYPE html>
+<html>
+<head><title>R: Vignettes and other documentation</title>
+<meta http-equiv="Content-Type" content="text/html; charset=utf-8" />
+<meta name="viewport" content="width=device-width, initial-scale=1.0, user-scalable=yes" />
+<link rel="stylesheet" type="text/css" href="/doc/html/R.css" />
+</head><body><div class="container">
+<h1> Vignettes and other documentation
+<img class="toplogo" src="/doc/html/Rlogo.svg" alt="[R logo]" />
+</h1>
+<hr/>
+<div style="text-align: center;">
+<a href="/doc/html/index.html"><img class="arrow" src="/doc/html/up.jpg" alt="[Top]" /></a>
+</div>
+<h2>Vignettes from package 'DT'</h2>
+<table style="width: 100%;">
+<col style="width: 22%;" />
+<col style="width:  2%;" />
+<col style="width: 50%;" />
+<col style="width:  8%;" />
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+<col style="width:  8%;" />
+<tr><td style="text-align: right; vertical-align: top;"><a href="../../../library/DT/doc/DT.html">DT::DT</a></td>
+<td></td><td style="vertical-align: top;">An Introduction to the DT Package</td>
+<td style="vertical-align: top;"><a href="../../../library/DT/doc/DT.html">HTML</a></td>
+<td style="vertical-align: top;"><a href="../../../library/DT/doc/DT.Rmd">source</a></td>
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+</table>
+</div></body></html>
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/help/DT.rdb
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Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/nouislider/jquery.nouislider.min.js
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Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/RowGroup/js/rowGroup.bootstrap.min.js
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/RowGroup/js/rowGroup.bootstrap.min.js	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/RowGroup/js/rowGroup.bootstrap.min.js	(revision 3761)
@@ -0,0 +1,5 @@
+/*!
+ Bootstrap 3 styling wrapper for RowGroup
+ Â©2018 SpryMedia Ltd - datatables.net/license
+*/
+(function(c){"function"===typeof define&&define.amd?define(["jquery","datatables.net-bs","datatables.net-rowgroup"],function(a){return c(a,window,document)}):"object"===typeof exports?module.exports=function(a,b){a||(a=window);b&&b.fn.dataTable||(b=require("datatables.net-bs")(a,b).$);b.fn.dataTable.RowGroup||require("datatables.net-rowgroup")(a,b);return c(b,a,a.document)}:c(jQuery,window,document)})(function(c,a,b,d){return c.fn.dataTable});
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/RowGroup/js/rowGroup.jqueryui.min.js
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/RowGroup/js/rowGroup.jqueryui.min.js	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/RowGroup/js/rowGroup.jqueryui.min.js	(revision 3761)
@@ -0,0 +1,5 @@
+/*!
+ jQuery UI styling wrapper for RowGroup
+ Â©2018 SpryMedia Ltd - datatables.net/license
+*/
+(function(c){"function"===typeof define&&define.amd?define(["jquery","datatables.net-jqui","datatables.net-rowgroup"],function(a){return c(a,window,document)}):"object"===typeof exports?module.exports=function(a,b){a||(a=window);b&&b.fn.dataTable||(b=require("datatables.net-jqui")(a,b).$);b.fn.dataTable.RowGroup||require("datatables.net-rowgroup")(a,b);return c(b,a,a.document)}:c(jQuery,window,document)})(function(c,a,b,d){return c.fn.dataTable});
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/RowGroup/js/rowGroup.bulma.min.js
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/RowGroup/js/rowGroup.bulma.min.js	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/RowGroup/js/rowGroup.bulma.min.js	(revision 3761)
@@ -0,0 +1,5 @@
+/*!
+ Bulma styling wrapper for RowGroup
+ Â©2018 SpryMedia Ltd - datatables.net/license
+*/
+(function(c){"function"===typeof define&&define.amd?define(["jquery","datatables.net-bm","datatables.net-rowgroup"],function(a){return c(a,window,document)}):"object"===typeof exports?module.exports=function(a,b){a||(a=window);b&&b.fn.dataTable||(b=require("datatables.net-bm")(a,b).$);b.fn.dataTable.RowGroup||require("datatables.net-rowgroup")(a,b);return c(b,a,a.document)}:c(jQuery,window,document)})(function(c,a,b,d){return c.fn.dataTable});
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/RowGroup/js/rowGroup.bootstrap4.min.js
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/RowGroup/js/rowGroup.bootstrap4.min.js	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/RowGroup/js/rowGroup.bootstrap4.min.js	(revision 3761)
@@ -0,0 +1,5 @@
+/*!
+ Bootstrap 4 styling wrapper for RowGroup
+ Â©2018 SpryMedia Ltd - datatables.net/license
+*/
+(function(c){"function"===typeof define&&define.amd?define(["jquery","datatables.net-bs4","datatables.net-rowgroup"],function(a){return c(a,window,document)}):"object"===typeof exports?module.exports=function(a,b){a||(a=window);b&&b.fn.dataTable||(b=require("datatables.net-bs4")(a,b).$);b.fn.dataTable.RowGroup||require("datatables.net-rowgroup")(a,b);return c(b,a,a.document)}:c(jQuery,window,document)})(function(c,a,b,d){return c.fn.dataTable});
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/RowGroup/js/rowGroup.semanticui.min.js
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/RowGroup/js/rowGroup.semanticui.min.js	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/RowGroup/js/rowGroup.semanticui.min.js	(revision 3761)
@@ -0,0 +1,5 @@
+/*!
+ Semanic UI styling wrapper for RowGroup
+ Â©2018 SpryMedia Ltd - datatables.net/license
+*/
+(function(c){"function"===typeof define&&define.amd?define(["jquery","datatables.net-se","datatables.net-rowgroup"],function(a){return c(a,window,document)}):"object"===typeof exports?module.exports=function(a,b){a||(a=window);b&&b.fn.dataTable||(b=require("datatables.net-se")(a,b).$);b.fn.dataTable.RowGroup||require("datatables.net-rowgroup")(a,b);return c(b,a,a.document)}:c(jQuery,window,document)})(function(c,a,b,d){return c.fn.dataTable});
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/RowGroup/js/rowGroup.bootstrap5.min.js
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/RowGroup/js/rowGroup.bootstrap5.min.js	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/RowGroup/js/rowGroup.bootstrap5.min.js	(revision 3761)
@@ -0,0 +1,5 @@
+/*!
+ Bootstrap 5 styling wrapper for RowGroup
+ Â©2018 SpryMedia Ltd - datatables.net/license
+*/
+(function(c){"function"===typeof define&&define.amd?define(["jquery","datatables.net-bs5","datatables.net-rowgroup"],function(a){return c(a,window,document)}):"object"===typeof exports?module.exports=function(a,b){a||(a=window);b&&b.fn.dataTable||(b=require("datatables.net-bs5")(a,b).$);b.fn.dataTable.RowGroup||require("datatables.net-rowgroup")(a,b);return c(b,a,a.document)}:c(jQuery,window,document)})(function(c,a,b,d){return c.fn.dataTable});
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/RowGroup/js/dataTables.rowGroup.min.js
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/RowGroup/js/dataTables.rowGroup.min.js	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/RowGroup/js/dataTables.rowGroup.min.js	(revision 3761)
@@ -0,0 +1,28 @@
+/*!
+   SpryMedia Ltd.
+
+ This source file is free software, available under the following license:
+   MIT license - http://datatables.net/license/mit
+
+ This source file is distributed in the hope that it will be useful, but
+ WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY
+ or FITNESS FOR A PARTICULAR PURPOSE. See the license files for details.
+
+ For details please refer to: http://www.datatables.net
+ RowGroup 1.2.0
+ Â©2017-2022 SpryMedia Ltd - datatables.net/license
+*/
+var $jscomp=$jscomp||{};$jscomp.scope={};$jscomp.findInternal=function(b,c,d){b instanceof String&&(b=String(b));for(var g=b.length,e=0;e<g;e++){var k=b[e];if(c.call(d,k,e,b))return{i:e,v:k}}return{i:-1,v:void 0}};$jscomp.ASSUME_ES5=!1;$jscomp.ASSUME_NO_NATIVE_MAP=!1;$jscomp.ASSUME_NO_NATIVE_SET=!1;$jscomp.SIMPLE_FROUND_POLYFILL=!1;$jscomp.ISOLATE_POLYFILLS=!1;
+$jscomp.defineProperty=$jscomp.ASSUME_ES5||"function"==typeof Object.defineProperties?Object.defineProperty:function(b,c,d){if(b==Array.prototype||b==Object.prototype)return b;b[c]=d.value;return b};$jscomp.getGlobal=function(b){b=["object"==typeof globalThis&&globalThis,b,"object"==typeof window&&window,"object"==typeof self&&self,"object"==typeof global&&global];for(var c=0;c<b.length;++c){var d=b[c];if(d&&d.Math==Math)return d}throw Error("Cannot find global object");};$jscomp.global=$jscomp.getGlobal(this);
+$jscomp.IS_SYMBOL_NATIVE="function"===typeof Symbol&&"symbol"===typeof Symbol("x");$jscomp.TRUST_ES6_POLYFILLS=!$jscomp.ISOLATE_POLYFILLS||$jscomp.IS_SYMBOL_NATIVE;$jscomp.polyfills={};$jscomp.propertyToPolyfillSymbol={};$jscomp.POLYFILL_PREFIX="$jscp$";var $jscomp$lookupPolyfilledValue=function(b,c){var d=$jscomp.propertyToPolyfillSymbol[c];if(null==d)return b[c];d=b[d];return void 0!==d?d:b[c]};
+$jscomp.polyfill=function(b,c,d,g){c&&($jscomp.ISOLATE_POLYFILLS?$jscomp.polyfillIsolated(b,c,d,g):$jscomp.polyfillUnisolated(b,c,d,g))};$jscomp.polyfillUnisolated=function(b,c,d,g){d=$jscomp.global;b=b.split(".");for(g=0;g<b.length-1;g++){var e=b[g];if(!(e in d))return;d=d[e]}b=b[b.length-1];g=d[b];c=c(g);c!=g&&null!=c&&$jscomp.defineProperty(d,b,{configurable:!0,writable:!0,value:c})};
+$jscomp.polyfillIsolated=function(b,c,d,g){var e=b.split(".");b=1===e.length;g=e[0];g=!b&&g in $jscomp.polyfills?$jscomp.polyfills:$jscomp.global;for(var k=0;k<e.length-1;k++){var a=e[k];if(!(a in g))return;g=g[a]}e=e[e.length-1];d=$jscomp.IS_SYMBOL_NATIVE&&"es6"===d?g[e]:null;c=c(d);null!=c&&(b?$jscomp.defineProperty($jscomp.polyfills,e,{configurable:!0,writable:!0,value:c}):c!==d&&($jscomp.propertyToPolyfillSymbol[e]=$jscomp.IS_SYMBOL_NATIVE?$jscomp.global.Symbol(e):$jscomp.POLYFILL_PREFIX+e,e=
+$jscomp.propertyToPolyfillSymbol[e],$jscomp.defineProperty(g,e,{configurable:!0,writable:!0,value:c})))};$jscomp.polyfill("Array.prototype.find",function(b){return b?b:function(c,d){return $jscomp.findInternal(this,c,d).v}},"es6","es3");
+(function(b){"function"===typeof define&&define.amd?define(["jquery","datatables.net"],function(c){return b(c,window,document)}):"object"===typeof exports?module.exports=function(c,d){c||(c=window);d&&d.fn.dataTable||(d=require("datatables.net")(c,d).$);return b(d,c,c.document)}:b(jQuery,window,document)})(function(b,c,d,g){var e=b.fn.dataTable,k=function(a,f){if(!e.versionCheck||!e.versionCheck("1.10.8"))throw"RowGroup requires DataTables 1.10.8 or newer";this.c=b.extend(!0,{},e.defaults.rowGroup,
+k.defaults,f);this.s={dt:new e.Api(a)};this.dom={};a=this.s.dt.settings()[0];if(f=a.rowGroup)return f;a.rowGroup=this;this._constructor()};b.extend(k.prototype,{dataSrc:function(a){if(a===g)return this.c.dataSrc;var f=this.s.dt;this.c.dataSrc=a;b(f.table().node()).triggerHandler("rowgroup-datasrc.dt",[f,a]);return this},disable:function(){this.c.enable=!1;return this},enable:function(a){if(!1===a)return this.disable();this.c.enable=!0;return this},enabled:function(){return this.c.enable},_constructor:function(){var a=
+this,f=this.s.dt,h=f.settings()[0];f.on("draw.dtrg",function(m,r){a.c.enable&&h===r&&a._draw()});f.on("column-visibility.dt.dtrg responsive-resize.dt.dtrg",function(){a._adjustColspan()});f.on("destroy",function(){f.off(".dtrg")})},_adjustColspan:function(){b("tr."+this.c.className,this.s.dt.table().body()).find("td:visible").attr("colspan",this._colspan())},_colspan:function(){return this.s.dt.columns().visible().reduce(function(a,f){return a+f},0)},_draw:function(){var a=this._group(0,this.s.dt.rows({page:"current"}).indexes());
+this._groupDisplay(0,a)},_group:function(a,f){for(var h=Array.isArray(this.c.dataSrc)?this.c.dataSrc:[this.c.dataSrc],m=e.ext.oApi._fnGetObjectDataFn(h[a]),r=this.s.dt,n,q,p=[],l=0,t=f.length;l<t;l++){var u=f[l];n=r.row(u).data();n=m(n);if(null===n||n===g)n=this.c.emptyDataGroup;if(q===g||n!==q)p.push({dataPoint:n,rows:[]}),q=n;p[p.length-1].rows.push(u)}if(h[a+1]!==g)for(l=0,t=p.length;l<t;l++)p[l].children=this._group(a+1,p[l].rows);return p},_groupDisplay:function(a,f){for(var h=this.s.dt,m,r=
+0,n=f.length;r<n;r++){var q=f[r],p=q.dataPoint,l=q.rows;this.c.startRender&&(m=this.c.startRender.call(this,h.rows(l),p,a),(m=this._rowWrap(m,this.c.startClassName,a))&&m.insertBefore(h.row(l[0]).node()));this.c.endRender&&(m=this.c.endRender.call(this,h.rows(l),p,a),(m=this._rowWrap(m,this.c.endClassName,a))&&m.insertAfter(h.row(l[l.length-1]).node()));q.children&&this._groupDisplay(a+1,q.children)}},_rowWrap:function(a,f,h){if(null===a||""===a)a=this.c.emptyDataGroup;return a===g||null===a?null:
+("object"===typeof a&&a.nodeName&&"tr"===a.nodeName.toLowerCase()?b(a):a instanceof b&&a.length&&"tr"===a[0].nodeName.toLowerCase()?a:b("<tr/>").append(b("<th/>").attr("colspan",this._colspan()).attr("scope","row").append(a))).addClass(this.c.className).addClass(f).addClass("dtrg-level-"+h)}});k.defaults={className:"dtrg-group",dataSrc:0,emptyDataGroup:"No group",enable:!0,endClassName:"dtrg-end",endRender:null,startClassName:"dtrg-start",startRender:function(a,f){return f}};k.version="1.2.0";b.fn.dataTable.RowGroup=
+k;b.fn.DataTable.RowGroup=k;e.Api.register("rowGroup()",function(){return this});e.Api.register("rowGroup().disable()",function(){return this.iterator("table",function(a){a.rowGroup&&a.rowGroup.enable(!1)})});e.Api.register("rowGroup().enable()",function(a){return this.iterator("table",function(f){f.rowGroup&&f.rowGroup.enable(a===g?!0:a)})});e.Api.register("rowGroup().enabled()",function(){var a=this.context;return a.length&&a[0].rowGroup?a[0].rowGroup.enabled():!1});e.Api.register("rowGroup().dataSrc()",
+function(a){return a===g?this.context[0].rowGroup.dataSrc():this.iterator("table",function(f){f.rowGroup&&f.rowGroup.dataSrc(a)})});b(d).on("preInit.dt.dtrg",function(a,f,h){"dt"===a.namespace&&(a=f.oInit.rowGroup,h=e.defaults.rowGroup,a||h)&&(h=b.extend({},h,a),!1!==a&&new k(f,h))});return k});
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/RowGroup/js/rowGroup.dataTables.min.js
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/RowGroup/js/rowGroup.dataTables.min.js	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/RowGroup/js/rowGroup.dataTables.min.js	(revision 3761)
@@ -0,0 +1,5 @@
+/*!
+ DataTables styling wrapper for RowGroup
+ Â©2018 SpryMedia Ltd - datatables.net/license
+*/
+(function(c){"function"===typeof define&&define.amd?define(["jquery","datatables.net-dt","datatables.net-rowgroup"],function(a){return c(a,window,document)}):"object"===typeof exports?module.exports=function(a,b){a||(a=window);b&&b.fn.dataTable||(b=require("datatables.net-dt")(a,b).$);b.fn.dataTable.RowGroup||require("datatables.net-rowgroup")(a,b);return c(b,a,a.document)}:c(jQuery,window,document)})(function(c,a,b,d){return c.fn.dataTable});
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/RowGroup/js/rowGroup.foundation.min.js
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/RowGroup/js/rowGroup.foundation.min.js	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/RowGroup/js/rowGroup.foundation.min.js	(revision 3761)
@@ -0,0 +1,5 @@
+/*!
+ Foundation styling wrapper for RowGroup
+ Â©2018 SpryMedia Ltd - datatables.net/license
+*/
+(function(c){"function"===typeof define&&define.amd?define(["jquery","datatables.net-zf","datatables.net-rowgroup"],function(a){return c(a,window,document)}):"object"===typeof exports?module.exports=function(a,b){a||(a=window);b&&b.fn.dataTable||(b=require("datatables.net-zf")(a,b).$);b.fn.dataTable.RowGroup||require("datatables.net-rowgroup")(a,b);return c(b,a,a.document)}:c(jQuery,window,document)})(function(c,a,b,d){return c.fn.dataTable});
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/RowGroup/css/rowGroup.bootstrap5.min.css
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/RowGroup/css/rowGroup.bootstrap5.min.css	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/RowGroup/css/rowGroup.bootstrap5.min.css	(revision 3761)
@@ -0,0 +1 @@
+table.dataTable tr.dtrg-group th{background-color:#e0e0e0;text-align:left}table.dataTable tr.dtrg-group.dtrg-level-0 th{font-weight:bold}table.dataTable tr.dtrg-group.dtrg-level-1 th,table.dataTable tr.dtrg-group.dtrg-level-2 th,table.dataTable tr.dtrg-group.dtrg-level-3 th,table.dataTable tr.dtrg-group.dtrg-level-4 th,table.dataTable tr.dtrg-group.dtrg-level-5 th{background-color:#f0f0f0;padding-top:.25em;padding-bottom:.25em;padding-left:2em;font-size:.9em}table.dataTable tr.dtrg-group.dtrg-level-2 th{background-color:#f3f3f3;padding-left:2.5em}table.dataTable tr.dtrg-group.dtrg-level-3 th{background-color:#f3f3f3;padding-left:3em}table.dataTable tr.dtrg-group.dtrg-level-4 th{background-color:#f3f3f3;padding-left:3.5em}table.dataTable tr.dtrg-group.dtrg-level-5 th{background-color:#f3f3f3;padding-left:4em}table.dataTable.table-striped tr.dtrg-level-0{background-color:#e0e0e0}table.dataTable.table-striped tr.dtrg-level-1{background-color:#f0f0f0}table.dataTable.table-striped tr.dtrg-level-2,table.dataTable.table-striped tr.dtrg-level-3,table.dataTable.table-striped tr.dtrg-level-4,table.dataTable.table-striped tr.dtrg-level-5{background-color:#f3f3f3}table.dataTable.table-striped tr.dtrg-level-1 tr.dtrg-level-2 th,table.dataTable.table-striped tr.dtrg-level-3 th,table.dataTable.table-striped tr.dtrg-level-4 th,table.dataTable.table-striped tr.dtrg-level-5 th{background-color:transparent}
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/RowGroup/css/rowGroup.dataTables.min.css
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/RowGroup/css/rowGroup.dataTables.min.css	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/RowGroup/css/rowGroup.dataTables.min.css	(revision 3761)
@@ -0,0 +1 @@
+table.dataTable tr.dtrg-group th{background-color:#e0e0e0;text-align:left}table.dataTable tr.dtrg-group.dtrg-level-0 th{font-weight:bold}table.dataTable tr.dtrg-group.dtrg-level-1 th,table.dataTable tr.dtrg-group.dtrg-level-2 th,table.dataTable tr.dtrg-group.dtrg-level-3 th,table.dataTable tr.dtrg-group.dtrg-level-4 th,table.dataTable tr.dtrg-group.dtrg-level-5 th{background-color:#f0f0f0;padding-top:.25em;padding-bottom:.25em;padding-left:2em;font-size:.9em}table.dataTable tr.dtrg-group.dtrg-level-2 th{background-color:#f3f3f3;padding-left:2.5em}table.dataTable tr.dtrg-group.dtrg-level-3 th{background-color:#f3f3f3;padding-left:3em}table.dataTable tr.dtrg-group.dtrg-level-4 th{background-color:#f3f3f3;padding-left:3.5em}table.dataTable tr.dtrg-group.dtrg-level-5 th{background-color:#f3f3f3;padding-left:4em}
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/RowGroup/css/rowGroup.foundation.min.css
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/RowGroup/css/rowGroup.foundation.min.css	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/RowGroup/css/rowGroup.foundation.min.css	(revision 3761)
@@ -0,0 +1 @@
+table.dataTable tr.dtrg-group th{background-color:#e0e0e0;text-align:left}table.dataTable tr.dtrg-group.dtrg-level-0 th{font-weight:bold}table.dataTable tr.dtrg-group.dtrg-level-1 th,table.dataTable tr.dtrg-group.dtrg-level-2 th,table.dataTable tr.dtrg-group.dtrg-level-3 th,table.dataTable tr.dtrg-group.dtrg-level-4 th,table.dataTable tr.dtrg-group.dtrg-level-5 th{background-color:#f0f0f0;padding-top:.25em;padding-bottom:.25em;padding-left:2em;font-size:.9em}table.dataTable tr.dtrg-group.dtrg-level-2 th{background-color:#f3f3f3;padding-left:2.5em}table.dataTable tr.dtrg-group.dtrg-level-3 th{background-color:#f3f3f3;padding-left:3em}table.dataTable tr.dtrg-group.dtrg-level-4 th{background-color:#f3f3f3;padding-left:3.5em}table.dataTable tr.dtrg-group.dtrg-level-5 th{background-color:#f3f3f3;padding-left:4em}
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/RowGroup/css/rowGroup.bootstrap.min.css
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/RowGroup/css/rowGroup.bootstrap.min.css	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/RowGroup/css/rowGroup.bootstrap.min.css	(revision 3761)
@@ -0,0 +1 @@
+table.dataTable tr.dtrg-group th{background-color:#e0e0e0;text-align:left}table.dataTable tr.dtrg-group.dtrg-level-0 th{font-weight:bold}table.dataTable tr.dtrg-group.dtrg-level-1 th,table.dataTable tr.dtrg-group.dtrg-level-2 th,table.dataTable tr.dtrg-group.dtrg-level-3 th,table.dataTable tr.dtrg-group.dtrg-level-4 th,table.dataTable tr.dtrg-group.dtrg-level-5 th{background-color:#f0f0f0;padding-top:.25em;padding-bottom:.25em;padding-left:2em;font-size:.9em}table.dataTable tr.dtrg-group.dtrg-level-2 th{background-color:#f3f3f3;padding-left:2.5em}table.dataTable tr.dtrg-group.dtrg-level-3 th{background-color:#f3f3f3;padding-left:3em}table.dataTable tr.dtrg-group.dtrg-level-4 th{background-color:#f3f3f3;padding-left:3.5em}table.dataTable tr.dtrg-group.dtrg-level-5 th{background-color:#f3f3f3;padding-left:4em}
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/RowGroup/css/rowGroup.jqueryui.min.css
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/RowGroup/css/rowGroup.jqueryui.min.css	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/RowGroup/css/rowGroup.jqueryui.min.css	(revision 3761)
@@ -0,0 +1 @@
+table.dataTable tr.dtrg-group th{background-color:#e0e0e0;text-align:left}table.dataTable tr.dtrg-group.dtrg-level-0 th{font-weight:bold}table.dataTable tr.dtrg-group.dtrg-level-1 th,table.dataTable tr.dtrg-group.dtrg-level-2 th,table.dataTable tr.dtrg-group.dtrg-level-3 th,table.dataTable tr.dtrg-group.dtrg-level-4 th,table.dataTable tr.dtrg-group.dtrg-level-5 th{background-color:#f0f0f0;padding-top:.25em;padding-bottom:.25em;padding-left:2em;font-size:.9em}table.dataTable tr.dtrg-group.dtrg-level-2 th{background-color:#f3f3f3;padding-left:2.5em}table.dataTable tr.dtrg-group.dtrg-level-3 th{background-color:#f3f3f3;padding-left:3em}table.dataTable tr.dtrg-group.dtrg-level-4 th{background-color:#f3f3f3;padding-left:3.5em}table.dataTable tr.dtrg-group.dtrg-level-5 th{background-color:#f3f3f3;padding-left:4em}
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/RowGroup/css/rowGroup.bulma.min.css
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/RowGroup/css/rowGroup.bulma.min.css	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/RowGroup/css/rowGroup.bulma.min.css	(revision 3761)
@@ -0,0 +1 @@
+table.dataTable tr.dtrg-group th{background-color:#e0e0e0;text-align:left}table.dataTable tr.dtrg-group.dtrg-level-0 th{font-weight:bold}table.dataTable tr.dtrg-group.dtrg-level-1 th,table.dataTable tr.dtrg-group.dtrg-level-2 th,table.dataTable tr.dtrg-group.dtrg-level-3 th,table.dataTable tr.dtrg-group.dtrg-level-4 th,table.dataTable tr.dtrg-group.dtrg-level-5 th{background-color:#f0f0f0;padding-top:.25em;padding-bottom:.25em;padding-left:2em;font-size:.9em}table.dataTable tr.dtrg-group.dtrg-level-2 th{background-color:#f3f3f3;padding-left:2.5em}table.dataTable tr.dtrg-group.dtrg-level-3 th{background-color:#f3f3f3;padding-left:3em}table.dataTable tr.dtrg-group.dtrg-level-4 th{background-color:#f3f3f3;padding-left:3.5em}table.dataTable tr.dtrg-group.dtrg-level-5 th{background-color:#f3f3f3;padding-left:4em}
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/RowGroup/css/rowGroup.bootstrap4.min.css
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/RowGroup/css/rowGroup.bootstrap4.min.css	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/RowGroup/css/rowGroup.bootstrap4.min.css	(revision 3761)
@@ -0,0 +1 @@
+table.dataTable tr.dtrg-group th{background-color:#e0e0e0;text-align:left}table.dataTable tr.dtrg-group.dtrg-level-0 th{font-weight:bold}table.dataTable tr.dtrg-group.dtrg-level-1 th,table.dataTable tr.dtrg-group.dtrg-level-2 th,table.dataTable tr.dtrg-group.dtrg-level-3 th,table.dataTable tr.dtrg-group.dtrg-level-4 th,table.dataTable tr.dtrg-group.dtrg-level-5 th{background-color:#f0f0f0;padding-top:.25em;padding-bottom:.25em;padding-left:2em;font-size:.9em}table.dataTable tr.dtrg-group.dtrg-level-2 th{background-color:#f3f3f3;padding-left:2.5em}table.dataTable tr.dtrg-group.dtrg-level-3 th{background-color:#f3f3f3;padding-left:3em}table.dataTable tr.dtrg-group.dtrg-level-4 th{background-color:#f3f3f3;padding-left:3.5em}table.dataTable tr.dtrg-group.dtrg-level-5 th{background-color:#f3f3f3;padding-left:4em}
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/RowGroup/css/rowGroup.semanticui.min.css
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/RowGroup/css/rowGroup.semanticui.min.css	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/RowGroup/css/rowGroup.semanticui.min.css	(revision 3761)
@@ -0,0 +1 @@
+table.dataTable tr.dtrg-group th{background-color:#f9fafb;text-align:left}table.dataTable tr.dtrg-group.dtrg-level-0 th{font-weight:bold}table.dataTable tr.dtrg-group.dtrg-level-1 th,table.dataTable tr.dtrg-group.dtrg-level-2 th,table.dataTable tr.dtrg-group.dtrg-level-3 th,table.dataTable tr.dtrg-group.dtrg-level-4 th,table.dataTable tr.dtrg-group.dtrg-level-5 th{background-color:#f0f0f0;padding-top:.25em;padding-bottom:.25em;padding-left:2em;font-size:.9em}table.dataTable tr.dtrg-group.dtrg-level-2 th{background-color:#f3f3f3;padding-left:2.5em}table.dataTable tr.dtrg-group.dtrg-level-3 th{background-color:#f3f3f3;padding-left:3em}table.dataTable tr.dtrg-group.dtrg-level-4 th{background-color:#f3f3f3;padding-left:3.5em}table.dataTable tr.dtrg-group.dtrg-level-5 th{background-color:#f3f3f3;padding-left:4em}
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/StateRestore/css/stateRestore.foundation.min.css
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/StateRestore/css/stateRestore.foundation.min.css	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/StateRestore/css/stateRestore.foundation.min.css	(revision 3761)
@@ -0,0 +1 @@
+div.dtsr-confirmation,div.dtsr-creation{position:fixed;top:20%;left:50%;width:500px;background-color:white;margin-left:-250px;border-radius:6px;box-shadow:0 0 5px #555;border:2px solid #444;z-index:2003;box-sizing:border-box;padding:1em}div.dtsr-confirmation div.dtsr-confirmation-title-row,div.dtsr-creation div.dtsr-confirmation-title-row{text-align:left}div.dtsr-confirmation div.dtsr-confirmation-title-row h2,div.dtsr-creation div.dtsr-confirmation-title-row h2{border-bottom:0px;margin-top:0px;padding-top:0px}div.dtsr-confirmation div.dtsr-confirmation-text,div.dtsr-creation div.dtsr-confirmation-text{text-align:center}div.dtsr-confirmation div.dtsr-confirmation-buttons,div.dtsr-creation div.dtsr-confirmation-buttons{text-align:right;margin-top:1em}div.dtsr-confirmation div.dtsr-confirmation-buttons button.dtsr-confirmation-button,div.dtsr-creation div.dtsr-confirmation-buttons button.dtsr-confirmation-button{margin:0px}div.dtsr-confirmation div.dtsr-creation-text,div.dtsr-creation div.dtsr-creation-text{text-align:left;padding:0px;border:none}div.dtsr-confirmation div.dtsr-creation-text span,div.dtsr-creation div.dtsr-creation-text span{font-size:20px}div.dtsr-confirmation div.dtsr-creation-form div.dtsr-left,div.dtsr-confirmation div.dtsr-creation-form div.dtsr-right,div.dtsr-creation div.dtsr-creation-form div.dtsr-left,div.dtsr-creation div.dtsr-creation-form div.dtsr-right{display:inline-block;width:50%}div.dtsr-confirmation div.dtsr-creation-form div.dtsr-left,div.dtsr-creation div.dtsr-creation-form div.dtsr-left{text-align:right}div.dtsr-confirmation div.dtsr-creation-form div.dtsr-right,div.dtsr-confirmation div.dtsr-creation-form div.dtsr-name-row,div.dtsr-creation div.dtsr-creation-form div.dtsr-right,div.dtsr-creation div.dtsr-creation-form div.dtsr-name-row{text-align:left}div.dtsr-confirmation div.dtsr-creation-form div.dtsr-form-row label.dtsr-name-label,div.dtsr-creation div.dtsr-creation-form div.dtsr-form-row label.dtsr-name-label{width:33.3%;display:inline-block;text-align:right;padding-right:15px;padding-left:15px}div.dtsr-confirmation div.dtsr-creation-form div.dtsr-form-row input.dtsr-name-input,div.dtsr-creation div.dtsr-creation-form div.dtsr-form-row input.dtsr-name-input{width:66.6%;display:inline-block}div.dtsr-confirmation div.dtsr-creation-form div.dtsr-form-row input.dtsr-check-box,div.dtsr-creation div.dtsr-creation-form div.dtsr-form-row input.dtsr-check-box{margin-left:33.3%;margin-right:14px;display:inline-block}div.dtsr-confirmation div.dtsr-creation-form div.dtsr-form-row label.dtsr-toggle-title,div.dtsr-creation div.dtsr-creation-form div.dtsr-form-row label.dtsr-toggle-title{margin-right:-33.3%}div.dtsr-confirmation div.dtsr-confirmation-text,div.dtsr-creation div.dtsr-confirmation-text{text-align:left}div.dtsr-confirmation div.dtsr-confirmation-text label.dtsr-name-label,div.dtsr-creation div.dtsr-confirmation-text label.dtsr-name-label{width:auto;display:inline-block;text-align:right;padding-right:15px}div.dtsr-confirmation div.dtsr-confirmation-text input.dtsr-name-input,div.dtsr-creation div.dtsr-confirmation-text input.dtsr-name-input{width:66.6%;display:inline-block}div.dtsr-confirmation div.dtsr-confirmation-text input.dtsr-check-box,div.dtsr-creation div.dtsr-confirmation-text input.dtsr-check-box{margin-left:33.3%;margin-right:14px;display:inline-block}div.dtsr-confirmation div.dtsr-modal-foot,div.dtsr-creation div.dtsr-modal-foot{text-align:right;padding-top:10px}div.dtsr-confirmation span.dtsr-modal-error,div.dtsr-creation span.dtsr-modal-error{color:red;font-size:.9em}div.dtsr-creation{top:10%}div.dtsr-form-row{padding:10px}div.dtsr-check-row{padding-top:0px}div.dtsr-creation-text{padding:10px}div.dtsr-popover-close{position:absolute;top:10px;right:10px;width:22px;height:22px;border:1px solid #eaeaea;background-color:#f9f9f9;text-align:center;border-radius:3px;cursor:pointer;z-index:12}div.dtsr-background{z-index:2002;position:fixed;top:0;left:0;width:100%;height:100%;background:rgba(0, 0, 0, 0.7);background:radial-gradient(ellipse farthest-corner at center, rgba(0, 0, 0, 0.3) 0%, rgba(0, 0, 0, 0.7) 100%)}div.dt-button-collection h3{text-align:center;margin-top:4px;margin-bottom:8px;font-size:1.5em;white-space:nowrap;overflow:hidden;text-overflow:ellipsis}div.dt-button-collection span.dtsr-emptyStates{border-radius:5px;display:inline-block;line-height:1.6em;white-space:nowrap;text-align:center;vertical-align:middle;width:100%;padding-bottom:7px;padding-top:3px}span.dtsr-check-label{padding-left:3px}input.dtsr-check-box{margin-bottom:0px}button.dtsr-creation-button{margin-bottom:0px}div.dt-button-collection{width:150px}div.dt-button-collection h3{font-size:1.35rem}div.dt-button-collection div.dropdown-pane{width:150px;padding:4px !important;padding-bottom:0px !important}div.dt-button-collection div.dropdown-pane div.dt-btn-split-wrapper{margin-bottom:4px}div.dt-button-collection div.dropdown-pane div.dt-btn-split-wrapper a.button{width:calc(100% - 43px);flex:none !important;height:41px}div.dt-button-collection div.dropdown-pane div.dt-btn-split-wrapper button.dt-btn-split-drop{width:43px;flex:none !important;margin-left:-1px;height:41px}div.dt-button-collection div.dropdown-pane button.dt-btn-split-drop-button{width:100%;margin-bottom:4px}div.dt-button-split-left div.dropdown-pane{padding-bottom:4px !important}input.dtsr-input{display:inline-block;width:auto;font-size:1rem;margin-left:3px}div.dtsr-confirmation-text,div.dtsr-creation-form{margin-top:1.5em}
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/StateRestore/css/stateRestore.bootstrap.min.css
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/StateRestore/css/stateRestore.bootstrap.min.css	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/StateRestore/css/stateRestore.bootstrap.min.css	(revision 3761)
@@ -0,0 +1 @@
+div.dtsr-confirmation,div.dtsr-creation{position:fixed;top:20%;left:50%;width:500px;background-color:white;margin-left:-250px;border-radius:6px;box-shadow:0 0 5px #555;border:2px solid #444;z-index:2003;box-sizing:border-box;padding:1em}div.dtsr-confirmation div.dtsr-confirmation-title-row,div.dtsr-creation div.dtsr-confirmation-title-row{text-align:left}div.dtsr-confirmation div.dtsr-confirmation-title-row h2,div.dtsr-creation div.dtsr-confirmation-title-row h2{border-bottom:0px;margin-top:0px;padding-top:0px}div.dtsr-confirmation div.dtsr-confirmation-text,div.dtsr-creation div.dtsr-confirmation-text{text-align:center}div.dtsr-confirmation div.dtsr-confirmation-buttons,div.dtsr-creation div.dtsr-confirmation-buttons{text-align:right;margin-top:1em}div.dtsr-confirmation div.dtsr-confirmation-buttons button.dtsr-confirmation-button,div.dtsr-creation div.dtsr-confirmation-buttons button.dtsr-confirmation-button{margin:0px}div.dtsr-confirmation div.dtsr-creation-text,div.dtsr-creation div.dtsr-creation-text{text-align:left;padding:0px;border:none}div.dtsr-confirmation div.dtsr-creation-text span,div.dtsr-creation div.dtsr-creation-text span{font-size:20px}div.dtsr-confirmation div.dtsr-creation-form div.dtsr-left,div.dtsr-confirmation div.dtsr-creation-form div.dtsr-right,div.dtsr-creation div.dtsr-creation-form div.dtsr-left,div.dtsr-creation div.dtsr-creation-form div.dtsr-right{display:inline-block;width:50%}div.dtsr-confirmation div.dtsr-creation-form div.dtsr-left,div.dtsr-creation div.dtsr-creation-form div.dtsr-left{text-align:right}div.dtsr-confirmation div.dtsr-creation-form div.dtsr-right,div.dtsr-confirmation div.dtsr-creation-form div.dtsr-name-row,div.dtsr-creation div.dtsr-creation-form div.dtsr-right,div.dtsr-creation div.dtsr-creation-form div.dtsr-name-row{text-align:left}div.dtsr-confirmation div.dtsr-creation-form div.dtsr-form-row label.dtsr-name-label,div.dtsr-creation div.dtsr-creation-form div.dtsr-form-row label.dtsr-name-label{width:33.3%;display:inline-block;text-align:right;padding-right:15px;padding-left:15px}div.dtsr-confirmation div.dtsr-creation-form div.dtsr-form-row input.dtsr-name-input,div.dtsr-creation div.dtsr-creation-form div.dtsr-form-row input.dtsr-name-input{width:66.6%;display:inline-block}div.dtsr-confirmation div.dtsr-creation-form div.dtsr-form-row input.dtsr-check-box,div.dtsr-creation div.dtsr-creation-form div.dtsr-form-row input.dtsr-check-box{margin-left:33.3%;margin-right:14px;display:inline-block}div.dtsr-confirmation div.dtsr-creation-form div.dtsr-form-row label.dtsr-toggle-title,div.dtsr-creation div.dtsr-creation-form div.dtsr-form-row label.dtsr-toggle-title{margin-right:-33.3%}div.dtsr-confirmation div.dtsr-confirmation-text,div.dtsr-creation div.dtsr-confirmation-text{text-align:left}div.dtsr-confirmation div.dtsr-confirmation-text label.dtsr-name-label,div.dtsr-creation div.dtsr-confirmation-text label.dtsr-name-label{width:auto;display:inline-block;text-align:right;padding-right:15px}div.dtsr-confirmation div.dtsr-confirmation-text input.dtsr-name-input,div.dtsr-creation div.dtsr-confirmation-text input.dtsr-name-input{width:66.6%;display:inline-block}div.dtsr-confirmation div.dtsr-confirmation-text input.dtsr-check-box,div.dtsr-creation div.dtsr-confirmation-text input.dtsr-check-box{margin-left:33.3%;margin-right:14px;display:inline-block}div.dtsr-confirmation div.dtsr-modal-foot,div.dtsr-creation div.dtsr-modal-foot{text-align:right;padding-top:10px}div.dtsr-confirmation span.dtsr-modal-error,div.dtsr-creation span.dtsr-modal-error{color:red;font-size:.9em}div.dtsr-creation{top:10%}div.dtsr-form-row{padding:10px}div.dtsr-check-row{padding-top:0px}div.dtsr-creation-text{padding:10px}div.dtsr-popover-close{position:absolute;top:10px;right:10px;width:22px;height:22px;border:1px solid #eaeaea;background-color:#f9f9f9;text-align:center;border-radius:3px;cursor:pointer;z-index:12}div.dtsr-background{z-index:2002;position:fixed;top:0;left:0;width:100%;height:100%;background:rgba(0, 0, 0, 0.7);background:radial-gradient(ellipse farthest-corner at center, rgba(0, 0, 0, 0.3) 0%, rgba(0, 0, 0, 0.7) 100%)}div.dt-button-collection h3{text-align:center;margin-top:4px;margin-bottom:8px;font-size:1.5em;white-space:nowrap;overflow:hidden;text-overflow:ellipsis}div.dt-button-collection span.dtsr-emptyStates{border-radius:5px;display:inline-block;line-height:1.6em;white-space:nowrap;text-align:center;vertical-align:middle;width:100%;padding-bottom:7px;padding-top:3px}span.dtsr-check-label{padding-left:3px}div.dt-button-collection h3{margin-top:8px}div.dt-button-collection ul.dropdown-menu{padding-top:0px}div.dt-button-collection ul.dropdown-menu div.dt-btn-split-wrapper{width:96% !important;margin-left:4px !important;margin-top:4px}div.dt-button-collection ul.dropdown-menu div.dt-btn-split-wrapper button.btn{width:calc(100% - 32px)}div.dt-button-collection ul.dropdown-menu div.dt-btn-split-wrapper button.dt-btn-split-drop{width:32px}div.dt-button-split-left div.dropdown-menu{padding-left:4px;padding-right:4px;padding-top:0px}div.dt-button-split-left div.dropdown-menu button.dt-btn-split-drop-button{background-color:white;border:1px solid #ccc;border-radius:4px;margin-top:4px}div.dt-button-split-left div.dropdown-menu button.dt-btn-split-drop-button:hover{background-color:#f5f5f5}input.dtsr-input{display:inline-block;width:auto;margin-left:3px}
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/StateRestore/css/stateRestore.jqueryui.min.css
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/StateRestore/css/stateRestore.jqueryui.min.css	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/StateRestore/css/stateRestore.jqueryui.min.css	(revision 3761)
@@ -0,0 +1 @@
+div.dtsr-confirmation,div.dtsr-creation{position:fixed;top:20%;left:50%;width:500px;background-color:white;margin-left:-250px;border-radius:6px;box-shadow:0 0 5px #555;border:2px solid #444;z-index:2003;box-sizing:border-box;padding:1em}div.dtsr-confirmation div.dtsr-confirmation-title-row,div.dtsr-creation div.dtsr-confirmation-title-row{text-align:left}div.dtsr-confirmation div.dtsr-confirmation-title-row h2,div.dtsr-creation div.dtsr-confirmation-title-row h2{border-bottom:0px;margin-top:0px;padding-top:0px}div.dtsr-confirmation div.dtsr-confirmation-text,div.dtsr-creation div.dtsr-confirmation-text{text-align:center}div.dtsr-confirmation div.dtsr-confirmation-buttons,div.dtsr-creation div.dtsr-confirmation-buttons{text-align:right;margin-top:1em}div.dtsr-confirmation div.dtsr-confirmation-buttons button.dtsr-confirmation-button,div.dtsr-creation div.dtsr-confirmation-buttons button.dtsr-confirmation-button{margin:0px}div.dtsr-confirmation div.dtsr-creation-text,div.dtsr-creation div.dtsr-creation-text{text-align:left;padding:0px;border:none}div.dtsr-confirmation div.dtsr-creation-text span,div.dtsr-creation div.dtsr-creation-text span{font-size:20px}div.dtsr-confirmation div.dtsr-creation-form div.dtsr-left,div.dtsr-confirmation div.dtsr-creation-form div.dtsr-right,div.dtsr-creation div.dtsr-creation-form div.dtsr-left,div.dtsr-creation div.dtsr-creation-form div.dtsr-right{display:inline-block;width:50%}div.dtsr-confirmation div.dtsr-creation-form div.dtsr-left,div.dtsr-creation div.dtsr-creation-form div.dtsr-left{text-align:right}div.dtsr-confirmation div.dtsr-creation-form div.dtsr-right,div.dtsr-confirmation div.dtsr-creation-form div.dtsr-name-row,div.dtsr-creation div.dtsr-creation-form div.dtsr-right,div.dtsr-creation div.dtsr-creation-form div.dtsr-name-row{text-align:left}div.dtsr-confirmation div.dtsr-creation-form div.dtsr-form-row label.dtsr-name-label,div.dtsr-creation div.dtsr-creation-form div.dtsr-form-row label.dtsr-name-label{width:33.3%;display:inline-block;text-align:right;padding-right:15px;padding-left:15px}div.dtsr-confirmation div.dtsr-creation-form div.dtsr-form-row input.dtsr-name-input,div.dtsr-creation div.dtsr-creation-form div.dtsr-form-row input.dtsr-name-input{width:66.6%;display:inline-block}div.dtsr-confirmation div.dtsr-creation-form div.dtsr-form-row input.dtsr-check-box,div.dtsr-creation div.dtsr-creation-form div.dtsr-form-row input.dtsr-check-box{margin-left:33.3%;margin-right:14px;display:inline-block}div.dtsr-confirmation div.dtsr-creation-form div.dtsr-form-row label.dtsr-toggle-title,div.dtsr-creation div.dtsr-creation-form div.dtsr-form-row label.dtsr-toggle-title{margin-right:-33.3%}div.dtsr-confirmation div.dtsr-confirmation-text,div.dtsr-creation div.dtsr-confirmation-text{text-align:left}div.dtsr-confirmation div.dtsr-confirmation-text label.dtsr-name-label,div.dtsr-creation div.dtsr-confirmation-text label.dtsr-name-label{width:auto;display:inline-block;text-align:right;padding-right:15px}div.dtsr-confirmation div.dtsr-confirmation-text input.dtsr-name-input,div.dtsr-creation div.dtsr-confirmation-text input.dtsr-name-input{width:66.6%;display:inline-block}div.dtsr-confirmation div.dtsr-confirmation-text input.dtsr-check-box,div.dtsr-creation div.dtsr-confirmation-text input.dtsr-check-box{margin-left:33.3%;margin-right:14px;display:inline-block}div.dtsr-confirmation div.dtsr-modal-foot,div.dtsr-creation div.dtsr-modal-foot{text-align:right;padding-top:10px}div.dtsr-confirmation span.dtsr-modal-error,div.dtsr-creation span.dtsr-modal-error{color:red;font-size:.9em}div.dtsr-creation{top:10%}div.dtsr-form-row{padding:10px}div.dtsr-check-row{padding-top:0px}div.dtsr-creation-text{padding:10px}div.dtsr-popover-close{position:absolute;top:10px;right:10px;width:22px;height:22px;border:1px solid #eaeaea;background-color:#f9f9f9;text-align:center;border-radius:3px;cursor:pointer;z-index:12}div.dtsr-background{z-index:2002;position:fixed;top:0;left:0;width:100%;height:100%;background:rgba(0, 0, 0, 0.7);background:radial-gradient(ellipse farthest-corner at center, rgba(0, 0, 0, 0.3) 0%, rgba(0, 0, 0, 0.7) 100%)}div.dt-button-collection h3{text-align:center;margin-top:4px;margin-bottom:8px;font-size:1.5em;white-space:nowrap;overflow:hidden;text-overflow:ellipsis}div.dt-button-collection span.dtsr-emptyStates{border-radius:5px;display:inline-block;line-height:1.6em;white-space:nowrap;text-align:center;vertical-align:middle;width:100%;padding-bottom:7px;padding-top:3px}div.dt-button-collection{z-index:2002}div.dt-button-collection div,div.dt-button-collection ul{background:none}span.dtsr-emptyStates{background:white;padding-top:2px !important}div.dt-btn-split-wrapper{display:inline-block !important;width:100%}div.dt-btn-split-wrapper button.ui-button{display:inline-block !important;width:calc(100% - 24px)}div.dt-btn-split-wrapper button.dt-btn-split-drop{display:inline-block !important;width:24px}div.dt-button-split-left{padding-bottom:0px}div.dt-button-split-left button.dt-btn-split-drop-button{width:100%;display:block;margin-bottom:8px}span.dtsr-confirmation-message{padding-right:3px}div.dtsr-creation-form div.dtsr-form-row label.dtsr-name-label{width:33.3%;display:inline-block;text-align:left !important;padding-right:0px;padding-left:0px}div.dtsr-creation-form div.dtsr-form-row input.dtsr-name-input{width:57.6% !important;display:inline-block}div.dtsr-creation-form div.dtsr-form-row input.dtsr-check-box{margin-left:calc(33.3% + 30px) !important;margin-right:14px;display:inline-block;position:relative}div.dtsr-creation-form div.dtsr-form-row label.dtsr-toggle-title{margin-right:calc(-33.3% - 30px) !important}
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/StateRestore/css/stateRestore.bulma.min.css
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/StateRestore/css/stateRestore.bulma.min.css	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/StateRestore/css/stateRestore.bulma.min.css	(revision 3761)
@@ -0,0 +1 @@
+div.dtsr-confirmation,div.dtsr-creation{position:fixed;top:20%;left:50%;width:500px;background-color:white;margin-left:-250px;border-radius:6px;box-shadow:0 0 5px #555;border:2px solid #444;z-index:2003;box-sizing:border-box;padding:1em}div.dtsr-confirmation div.dtsr-confirmation-title-row,div.dtsr-creation div.dtsr-confirmation-title-row{text-align:left}div.dtsr-confirmation div.dtsr-confirmation-title-row h2,div.dtsr-creation div.dtsr-confirmation-title-row h2{border-bottom:0px;margin-top:0px;padding-top:0px}div.dtsr-confirmation div.dtsr-confirmation-text,div.dtsr-creation div.dtsr-confirmation-text{text-align:center}div.dtsr-confirmation div.dtsr-confirmation-buttons,div.dtsr-creation div.dtsr-confirmation-buttons{text-align:right;margin-top:1em}div.dtsr-confirmation div.dtsr-confirmation-buttons button.dtsr-confirmation-button,div.dtsr-creation div.dtsr-confirmation-buttons button.dtsr-confirmation-button{margin:0px}div.dtsr-confirmation div.dtsr-creation-text,div.dtsr-creation div.dtsr-creation-text{text-align:left;padding:0px;border:none}div.dtsr-confirmation div.dtsr-creation-text span,div.dtsr-creation div.dtsr-creation-text span{font-size:20px}div.dtsr-confirmation div.dtsr-creation-form div.dtsr-left,div.dtsr-confirmation div.dtsr-creation-form div.dtsr-right,div.dtsr-creation div.dtsr-creation-form div.dtsr-left,div.dtsr-creation div.dtsr-creation-form div.dtsr-right{display:inline-block;width:50%}div.dtsr-confirmation div.dtsr-creation-form div.dtsr-left,div.dtsr-creation div.dtsr-creation-form div.dtsr-left{text-align:right}div.dtsr-confirmation div.dtsr-creation-form div.dtsr-right,div.dtsr-confirmation div.dtsr-creation-form div.dtsr-name-row,div.dtsr-creation div.dtsr-creation-form div.dtsr-right,div.dtsr-creation div.dtsr-creation-form div.dtsr-name-row{text-align:left}div.dtsr-confirmation div.dtsr-creation-form div.dtsr-form-row label.dtsr-name-label,div.dtsr-creation div.dtsr-creation-form div.dtsr-form-row label.dtsr-name-label{width:33.3%;display:inline-block;text-align:right;padding-right:15px;padding-left:15px}div.dtsr-confirmation div.dtsr-creation-form div.dtsr-form-row input.dtsr-name-input,div.dtsr-creation div.dtsr-creation-form div.dtsr-form-row input.dtsr-name-input{width:66.6%;display:inline-block}div.dtsr-confirmation div.dtsr-creation-form div.dtsr-form-row input.dtsr-check-box,div.dtsr-creation div.dtsr-creation-form div.dtsr-form-row input.dtsr-check-box{margin-left:33.3%;margin-right:14px;display:inline-block}div.dtsr-confirmation div.dtsr-creation-form div.dtsr-form-row label.dtsr-toggle-title,div.dtsr-creation div.dtsr-creation-form div.dtsr-form-row label.dtsr-toggle-title{margin-right:-33.3%}div.dtsr-confirmation div.dtsr-confirmation-text,div.dtsr-creation div.dtsr-confirmation-text{text-align:left}div.dtsr-confirmation div.dtsr-confirmation-text label.dtsr-name-label,div.dtsr-creation div.dtsr-confirmation-text label.dtsr-name-label{width:auto;display:inline-block;text-align:right;padding-right:15px}div.dtsr-confirmation div.dtsr-confirmation-text input.dtsr-name-input,div.dtsr-creation div.dtsr-confirmation-text input.dtsr-name-input{width:66.6%;display:inline-block}div.dtsr-confirmation div.dtsr-confirmation-text input.dtsr-check-box,div.dtsr-creation div.dtsr-confirmation-text input.dtsr-check-box{margin-left:33.3%;margin-right:14px;display:inline-block}div.dtsr-confirmation div.dtsr-modal-foot,div.dtsr-creation div.dtsr-modal-foot{text-align:right;padding-top:10px}div.dtsr-confirmation span.dtsr-modal-error,div.dtsr-creation span.dtsr-modal-error{color:red;font-size:.9em}div.dtsr-creation{top:10%}div.dtsr-form-row{padding:10px}div.dtsr-check-row{padding-top:0px}div.dtsr-creation-text{padding:10px}div.dtsr-popover-close{position:absolute;top:10px;right:10px;width:22px;height:22px;border:1px solid #eaeaea;background-color:#f9f9f9;text-align:center;border-radius:3px;cursor:pointer;z-index:12}div.dtsr-background{z-index:2002;position:fixed;top:0;left:0;width:100%;height:100%;background:rgba(0, 0, 0, 0.7);background:radial-gradient(ellipse farthest-corner at center, rgba(0, 0, 0, 0.3) 0%, rgba(0, 0, 0, 0.7) 100%)}div.dt-button-collection h3{text-align:center;margin-top:4px;margin-bottom:8px;font-size:1.5em;white-space:nowrap;overflow:hidden;text-overflow:ellipsis}div.dt-button-collection span.dtsr-emptyStates{border-radius:5px;display:inline-block;line-height:1.6em;white-space:nowrap;text-align:center;vertical-align:middle;width:100%;padding-bottom:7px;padding-top:3px}div.dtsr-form-row{display:block}div.dtsr-creation-form{width:100%}div.checkbox{cursor:default}span.dtsr-check-label{padding-left:3px}input.dtsr-input{display:inline-block;width:auto}span.dtsr-confirmation-message{font-size:1rem;padding-top:7px;padding-bottom:7px;line-height:2.5em}div.dt-button-collection{width:auto;padding-left:.5rem;padding-right:.5rem}div.dt-button-collection div.dropdown-content{width:100%;padding-top:.5rem;padding-bottom:0px}div.dt-button-collection div.dropdown-content div.dropdown-trigger{margin-bottom:0px !important;padding-right:.5rem;padding-left:.5rem}div.dt-button-collection div.dropdown-content div.dropdown-trigger button.dt-button{border-top-right-radius:4px;border-bottom-right-radius:4px}div.dt-button-split-left div.dropdown-content{padding-left:.5rem;padding-right:.5rem;padding-top:1rem;padding-bottom:.5rem;width:100%}div.dt-button-split-left div.dropdown-content button.dt-btn-split-drop-button{width:100%;margin-top:.5rem}div.dtsr-form-row label.dtsr-name-label,div.dtsr-confirmation-text label.dtsr-name-label{line-height:1.5;padding-top:10px}div.dtsr-confirmation-text,div.dtsr-creation-form{margin-top:1.5em}
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/StateRestore/css/stateRestore.bootstrap4.min.css
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/StateRestore/css/stateRestore.bootstrap4.min.css	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/StateRestore/css/stateRestore.bootstrap4.min.css	(revision 3761)
@@ -0,0 +1 @@
+div.dtsr-confirmation,div.dtsr-creation{position:fixed;top:20%;left:50%;width:500px;background-color:white;margin-left:-250px;border-radius:6px;box-shadow:0 0 5px #555;border:2px solid #444;z-index:2003;box-sizing:border-box;padding:1em}div.dtsr-confirmation div.dtsr-confirmation-title-row,div.dtsr-creation div.dtsr-confirmation-title-row{text-align:left}div.dtsr-confirmation div.dtsr-confirmation-title-row h2,div.dtsr-creation div.dtsr-confirmation-title-row h2{border-bottom:0px;margin-top:0px;padding-top:0px}div.dtsr-confirmation div.dtsr-confirmation-text,div.dtsr-creation div.dtsr-confirmation-text{text-align:center}div.dtsr-confirmation div.dtsr-confirmation-buttons,div.dtsr-creation div.dtsr-confirmation-buttons{text-align:right;margin-top:1em}div.dtsr-confirmation div.dtsr-confirmation-buttons button.dtsr-confirmation-button,div.dtsr-creation div.dtsr-confirmation-buttons button.dtsr-confirmation-button{margin:0px}div.dtsr-confirmation div.dtsr-creation-text,div.dtsr-creation div.dtsr-creation-text{text-align:left;padding:0px;border:none}div.dtsr-confirmation div.dtsr-creation-text span,div.dtsr-creation div.dtsr-creation-text span{font-size:20px}div.dtsr-confirmation div.dtsr-creation-form div.dtsr-left,div.dtsr-confirmation div.dtsr-creation-form div.dtsr-right,div.dtsr-creation div.dtsr-creation-form div.dtsr-left,div.dtsr-creation div.dtsr-creation-form div.dtsr-right{display:inline-block;width:50%}div.dtsr-confirmation div.dtsr-creation-form div.dtsr-left,div.dtsr-creation div.dtsr-creation-form div.dtsr-left{text-align:right}div.dtsr-confirmation div.dtsr-creation-form div.dtsr-right,div.dtsr-confirmation div.dtsr-creation-form div.dtsr-name-row,div.dtsr-creation div.dtsr-creation-form div.dtsr-right,div.dtsr-creation div.dtsr-creation-form div.dtsr-name-row{text-align:left}div.dtsr-confirmation div.dtsr-creation-form div.dtsr-form-row label.dtsr-name-label,div.dtsr-creation div.dtsr-creation-form div.dtsr-form-row label.dtsr-name-label{width:33.3%;display:inline-block;text-align:right;padding-right:15px;padding-left:15px}div.dtsr-confirmation div.dtsr-creation-form div.dtsr-form-row input.dtsr-name-input,div.dtsr-creation div.dtsr-creation-form div.dtsr-form-row input.dtsr-name-input{width:66.6%;display:inline-block}div.dtsr-confirmation div.dtsr-creation-form div.dtsr-form-row input.dtsr-check-box,div.dtsr-creation div.dtsr-creation-form div.dtsr-form-row input.dtsr-check-box{margin-left:33.3%;margin-right:14px;display:inline-block}div.dtsr-confirmation div.dtsr-creation-form div.dtsr-form-row label.dtsr-toggle-title,div.dtsr-creation div.dtsr-creation-form div.dtsr-form-row label.dtsr-toggle-title{margin-right:-33.3%}div.dtsr-confirmation div.dtsr-confirmation-text,div.dtsr-creation div.dtsr-confirmation-text{text-align:left}div.dtsr-confirmation div.dtsr-confirmation-text label.dtsr-name-label,div.dtsr-creation div.dtsr-confirmation-text label.dtsr-name-label{width:auto;display:inline-block;text-align:right;padding-right:15px}div.dtsr-confirmation div.dtsr-confirmation-text input.dtsr-name-input,div.dtsr-creation div.dtsr-confirmation-text input.dtsr-name-input{width:66.6%;display:inline-block}div.dtsr-confirmation div.dtsr-confirmation-text input.dtsr-check-box,div.dtsr-creation div.dtsr-confirmation-text input.dtsr-check-box{margin-left:33.3%;margin-right:14px;display:inline-block}div.dtsr-confirmation div.dtsr-modal-foot,div.dtsr-creation div.dtsr-modal-foot{text-align:right;padding-top:10px}div.dtsr-confirmation span.dtsr-modal-error,div.dtsr-creation span.dtsr-modal-error{color:red;font-size:.9em}div.dtsr-creation{top:10%}div.dtsr-form-row{padding:10px}div.dtsr-check-row{padding-top:0px}div.dtsr-creation-text{padding:10px}div.dtsr-popover-close{position:absolute;top:10px;right:10px;width:22px;height:22px;border:1px solid #eaeaea;background-color:#f9f9f9;text-align:center;border-radius:3px;cursor:pointer;z-index:12}div.dtsr-background{z-index:2002;position:fixed;top:0;left:0;width:100%;height:100%;background:rgba(0, 0, 0, 0.7);background:radial-gradient(ellipse farthest-corner at center, rgba(0, 0, 0, 0.3) 0%, rgba(0, 0, 0, 0.7) 100%)}div.dt-button-collection h3{text-align:center;margin-top:4px;margin-bottom:8px;font-size:1.5em;white-space:nowrap;overflow:hidden;text-overflow:ellipsis}div.dt-button-collection span.dtsr-emptyStates{border-radius:5px;display:inline-block;line-height:1.6em;white-space:nowrap;text-align:center;vertical-align:middle;width:100%;padding-bottom:7px;padding-top:3px}div.dt-button-collection h3{margin-top:8px;font-size:1.5rem}div.dt-button-collection div.dropdown-menu{padding-top:0px;padding-bottom:4px;padding-left:4px;padding-right:4px}div.dt-button-collection div.dropdown-menu div.dt-btn-split-wrapper{margin-top:4px}div.dt-button-split-left div.dropdown-menu{padding-right:4px;padding-left:4px;padding-bottom:4px}div.dt-button-split-left div.dropdown-menu button.dt-btn-split-drop-button{color:white;border-radius:4px;background-color:#6b757d;margin-top:4px}div.dt-button-split-left div.dropdown-menu button.dt-btn-split-drop-button:hover{background-color:#5a6268}input.dtsr-input{display:inline-block;width:auto;margin-left:3px}div.dtsr-creation-form div.dtsr-form-row label.dtsr-name-label{width:33.3%;display:inline-block;text-align:left !important;padding-right:15px;padding-left:15px}div.dtsr-creation-form div.dtsr-form-row input.dtsr-name-input{width:66.6%;display:inline-block}div.dtsr-creation-form div.dtsr-form-row input.dtsr-check-box{margin-left:33.3%;margin-right:14px;display:inline-block;position:relative}div.dtsr-confirmation-text{margin-top:1.5em}div.dtsr-confirmation-text label.dtsr-name-label{width:33.3%;display:inline-block;text-align:left !important;padding-right:15px;padding-left:15px}div.dtsr-confirmation-text input.dtsr-name-input{width:66.6%;display:inline-block}div.dtsr-confirmation-text input.dtsr-check-box{margin-left:33.3%;margin-right:14px;display:inline-block;position:relative}
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/StateRestore/css/stateRestore.semanticui.min.css
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/StateRestore/css/stateRestore.semanticui.min.css	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/StateRestore/css/stateRestore.semanticui.min.css	(revision 3761)
@@ -0,0 +1 @@
+div.dtsr-confirmation,div.dtsr-creation{position:fixed;top:20%;left:50%;width:500px;background-color:white;margin-left:-250px;border-radius:6px;box-shadow:0 0 5px #555;border:2px solid #444;z-index:2003;box-sizing:border-box;padding:1em}div.dtsr-confirmation div.dtsr-confirmation-title-row,div.dtsr-creation div.dtsr-confirmation-title-row{text-align:left}div.dtsr-confirmation div.dtsr-confirmation-title-row h2,div.dtsr-creation div.dtsr-confirmation-title-row h2{border-bottom:0px;margin-top:0px;padding-top:0px}div.dtsr-confirmation div.dtsr-confirmation-text,div.dtsr-creation div.dtsr-confirmation-text{text-align:center}div.dtsr-confirmation div.dtsr-confirmation-buttons,div.dtsr-creation div.dtsr-confirmation-buttons{text-align:right;margin-top:1em}div.dtsr-confirmation div.dtsr-confirmation-buttons button.dtsr-confirmation-button,div.dtsr-creation div.dtsr-confirmation-buttons button.dtsr-confirmation-button{margin:0px}div.dtsr-confirmation div.dtsr-creation-text,div.dtsr-creation div.dtsr-creation-text{text-align:left;padding:0px;border:none}div.dtsr-confirmation div.dtsr-creation-text span,div.dtsr-creation div.dtsr-creation-text span{font-size:20px}div.dtsr-confirmation div.dtsr-creation-form div.dtsr-left,div.dtsr-confirmation div.dtsr-creation-form div.dtsr-right,div.dtsr-creation div.dtsr-creation-form div.dtsr-left,div.dtsr-creation div.dtsr-creation-form div.dtsr-right{display:inline-block;width:50%}div.dtsr-confirmation div.dtsr-creation-form div.dtsr-left,div.dtsr-creation div.dtsr-creation-form div.dtsr-left{text-align:right}div.dtsr-confirmation div.dtsr-creation-form div.dtsr-right,div.dtsr-confirmation div.dtsr-creation-form div.dtsr-name-row,div.dtsr-creation div.dtsr-creation-form div.dtsr-right,div.dtsr-creation div.dtsr-creation-form div.dtsr-name-row{text-align:left}div.dtsr-confirmation div.dtsr-creation-form div.dtsr-form-row label.dtsr-name-label,div.dtsr-creation div.dtsr-creation-form div.dtsr-form-row label.dtsr-name-label{width:33.3%;display:inline-block;text-align:right;padding-right:15px;padding-left:15px}div.dtsr-confirmation div.dtsr-creation-form div.dtsr-form-row input.dtsr-name-input,div.dtsr-creation div.dtsr-creation-form div.dtsr-form-row input.dtsr-name-input{width:66.6%;display:inline-block}div.dtsr-confirmation div.dtsr-creation-form div.dtsr-form-row input.dtsr-check-box,div.dtsr-creation div.dtsr-creation-form div.dtsr-form-row input.dtsr-check-box{margin-left:33.3%;margin-right:14px;display:inline-block}div.dtsr-confirmation div.dtsr-creation-form div.dtsr-form-row label.dtsr-toggle-title,div.dtsr-creation div.dtsr-creation-form div.dtsr-form-row label.dtsr-toggle-title{margin-right:-33.3%}div.dtsr-confirmation div.dtsr-confirmation-text,div.dtsr-creation div.dtsr-confirmation-text{text-align:left}div.dtsr-confirmation div.dtsr-confirmation-text label.dtsr-name-label,div.dtsr-creation div.dtsr-confirmation-text label.dtsr-name-label{width:auto;display:inline-block;text-align:right;padding-right:15px}div.dtsr-confirmation div.dtsr-confirmation-text input.dtsr-name-input,div.dtsr-creation div.dtsr-confirmation-text input.dtsr-name-input{width:66.6%;display:inline-block}div.dtsr-confirmation div.dtsr-confirmation-text input.dtsr-check-box,div.dtsr-creation div.dtsr-confirmation-text input.dtsr-check-box{margin-left:33.3%;margin-right:14px;display:inline-block}div.dtsr-confirmation div.dtsr-modal-foot,div.dtsr-creation div.dtsr-modal-foot{text-align:right;padding-top:10px}div.dtsr-confirmation span.dtsr-modal-error,div.dtsr-creation span.dtsr-modal-error{color:red;font-size:.9em}div.dtsr-creation{top:10%}div.dtsr-form-row{padding:10px}div.dtsr-check-row{padding-top:0px}div.dtsr-creation-text{padding:10px}div.dtsr-popover-close{position:absolute;top:10px;right:10px;width:22px;height:22px;border:1px solid #eaeaea;background-color:#f9f9f9;text-align:center;border-radius:3px;cursor:pointer;z-index:12}div.dtsr-background{z-index:2002;position:fixed;top:0;left:0;width:100%;height:100%;background:rgba(0, 0, 0, 0.7);background:radial-gradient(ellipse farthest-corner at center, rgba(0, 0, 0, 0.3) 0%, rgba(0, 0, 0, 0.7) 100%)}div.dt-button-collection h3{text-align:center;margin-top:4px;margin-bottom:8px;font-size:1.5em;white-space:nowrap;overflow:hidden;text-overflow:ellipsis}div.dt-button-collection span.dtsr-emptyStates{border-radius:5px;display:inline-block;line-height:1.6em;white-space:nowrap;text-align:center;vertical-align:middle;width:100%;padding-bottom:7px;padding-top:3px}span.dtsr-check-label{padding-left:3px}span.dtsr-name-label,span.dtsr-confirmation-message{padding-right:3px}div.dtsr-confirmation{text-align:center}span.dtsr-confirmation-message{padding-top:.678571em;padding-bottom:.678571em;font-size:1rem}div.dt-btn-split-wrapper{background-color:white !important}div.dt-btn-split-wrapper button.button{width:calc(100% - 36px) !important;margin:0px !important;display:inline-block !important;border-top-left-radius:.28571429rem !important;border-bottom-left-radius:.28571429rem !important;border-top-right-radius:0px !important}div.dt-btn-split-wrapper button.dt-btn-split-drop{border-top-right-radius:.28571429rem !important;border-bottom-right-radius:.28571429rem !important;border-top-left-radius:0px !important;border-bottom-left-radius:0px !important;width:36px !important}span.dtsr-emptyStates{font-size:1rem;padding:5px !important}div.dt-button-collection div.ui.basic.vertical.buttons{padding:4px;padding-bottom:0px;background:white !important}div.dt-button-collection div.ui.basic.vertical.buttons h3{font-size:1.5rem;line-height:2rem}div.dt-button-collection div.ui.basic.vertical.buttons div.dt-btn-split-wrapper{margin-bottom:4px}div.dt-button-collection div.ui.basic.vertical.buttons div.dt-btn-split-wrapper button.button{margin-bottom:4px;border:1px solid rgba(34, 36, 38, 0.15) !important}div.dt-button-collection div.ui.basic.vertical.buttons div.dt-btn-split-wrapper button.dt-btn-split-drop{margin-left:-1px}div.dt-button-collection div.ui.basic.vertical.buttons button.dt-btn-split-drop-button{border:1px solid rgba(34, 36, 38, 0.15);border-radius:.285714rem;margin-bottom:4px}input.dtsr-name-input{border:1px solid rgba(24, 26, 28, 0.15);border-radius:4.6px;line-height:20px;padding-top:10.8px;padding-bottom:10.8px;font-size:16px}label.dtsr-name-label,label.form-check-label{font-size:14.9px}div.dtsr-form-row label.dtsr-name-label,div.dtsr-confirmation-text label.dtsr-name-label{line-height:1.5;padding-top:5px}div.dtsr-confirmation-text,div.dtsr-creation-form{margin-top:1.5em;width:100%}div.dtsr-confirmation-text label.dtsr-name-label,div.dtsr-creation-form label.dtsr-name-label{width:33.3%;display:inline-block;text-align:left !important;padding-right:15px;padding-left:15px}div.dtsr-confirmation-text input.dtsr-name-input,div.dtsr-creation-form input.dtsr-name-input{width:66.6%;display:inline-block}div.dtsr-confirmation-text input.dtsr-check-box,div.dtsr-creation-form input.dtsr-check-box{margin-left:33.3%;margin-right:14px;display:inline-block;position:relative}
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/StateRestore/css/stateRestore.bootstrap5.min.css
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/StateRestore/css/stateRestore.bootstrap5.min.css	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/StateRestore/css/stateRestore.bootstrap5.min.css	(revision 3761)
@@ -0,0 +1 @@
+div.dtsr-confirmation,div.dtsr-creation{position:fixed;top:20%;left:50%;width:500px;background-color:white;margin-left:-250px;border-radius:6px;box-shadow:0 0 5px #555;border:2px solid #444;z-index:2003;box-sizing:border-box;padding:1em}div.dtsr-confirmation div.dtsr-confirmation-title-row,div.dtsr-creation div.dtsr-confirmation-title-row{text-align:left}div.dtsr-confirmation div.dtsr-confirmation-title-row h2,div.dtsr-creation div.dtsr-confirmation-title-row h2{border-bottom:0px;margin-top:0px;padding-top:0px}div.dtsr-confirmation div.dtsr-confirmation-text,div.dtsr-creation div.dtsr-confirmation-text{text-align:center}div.dtsr-confirmation div.dtsr-confirmation-buttons,div.dtsr-creation div.dtsr-confirmation-buttons{text-align:right;margin-top:1em}div.dtsr-confirmation div.dtsr-confirmation-buttons button.dtsr-confirmation-button,div.dtsr-creation div.dtsr-confirmation-buttons button.dtsr-confirmation-button{margin:0px}div.dtsr-confirmation div.dtsr-creation-text,div.dtsr-creation div.dtsr-creation-text{text-align:left;padding:0px;border:none}div.dtsr-confirmation div.dtsr-creation-text span,div.dtsr-creation div.dtsr-creation-text span{font-size:20px}div.dtsr-confirmation div.dtsr-creation-form div.dtsr-left,div.dtsr-confirmation div.dtsr-creation-form div.dtsr-right,div.dtsr-creation div.dtsr-creation-form div.dtsr-left,div.dtsr-creation div.dtsr-creation-form div.dtsr-right{display:inline-block;width:50%}div.dtsr-confirmation div.dtsr-creation-form div.dtsr-left,div.dtsr-creation div.dtsr-creation-form div.dtsr-left{text-align:right}div.dtsr-confirmation div.dtsr-creation-form div.dtsr-right,div.dtsr-confirmation div.dtsr-creation-form div.dtsr-name-row,div.dtsr-creation div.dtsr-creation-form div.dtsr-right,div.dtsr-creation div.dtsr-creation-form div.dtsr-name-row{text-align:left}div.dtsr-confirmation div.dtsr-creation-form div.dtsr-form-row label.dtsr-name-label,div.dtsr-creation div.dtsr-creation-form div.dtsr-form-row label.dtsr-name-label{width:33.3%;display:inline-block;text-align:right;padding-right:15px;padding-left:15px}div.dtsr-confirmation div.dtsr-creation-form div.dtsr-form-row input.dtsr-name-input,div.dtsr-creation div.dtsr-creation-form div.dtsr-form-row input.dtsr-name-input{width:66.6%;display:inline-block}div.dtsr-confirmation div.dtsr-creation-form div.dtsr-form-row input.dtsr-check-box,div.dtsr-creation div.dtsr-creation-form div.dtsr-form-row input.dtsr-check-box{margin-left:33.3%;margin-right:14px;display:inline-block}div.dtsr-confirmation div.dtsr-creation-form div.dtsr-form-row label.dtsr-toggle-title,div.dtsr-creation div.dtsr-creation-form div.dtsr-form-row label.dtsr-toggle-title{margin-right:-33.3%}div.dtsr-confirmation div.dtsr-confirmation-text,div.dtsr-creation div.dtsr-confirmation-text{text-align:left}div.dtsr-confirmation div.dtsr-confirmation-text label.dtsr-name-label,div.dtsr-creation div.dtsr-confirmation-text label.dtsr-name-label{width:auto;display:inline-block;text-align:right;padding-right:15px}div.dtsr-confirmation div.dtsr-confirmation-text input.dtsr-name-input,div.dtsr-creation div.dtsr-confirmation-text input.dtsr-name-input{width:66.6%;display:inline-block}div.dtsr-confirmation div.dtsr-confirmation-text input.dtsr-check-box,div.dtsr-creation div.dtsr-confirmation-text input.dtsr-check-box{margin-left:33.3%;margin-right:14px;display:inline-block}div.dtsr-confirmation div.dtsr-modal-foot,div.dtsr-creation div.dtsr-modal-foot{text-align:right;padding-top:10px}div.dtsr-confirmation span.dtsr-modal-error,div.dtsr-creation span.dtsr-modal-error{color:red;font-size:.9em}div.dtsr-creation{top:10%}div.dtsr-form-row{padding:10px}div.dtsr-check-row{padding-top:0px}div.dtsr-creation-text{padding:10px}div.dtsr-popover-close{position:absolute;top:10px;right:10px;width:22px;height:22px;border:1px solid #eaeaea;background-color:#f9f9f9;text-align:center;border-radius:3px;cursor:pointer;z-index:12}div.dtsr-background{z-index:2002;position:fixed;top:0;left:0;width:100%;height:100%;background:rgba(0, 0, 0, 0.7);background:radial-gradient(ellipse farthest-corner at center, rgba(0, 0, 0, 0.3) 0%, rgba(0, 0, 0, 0.7) 100%)}div.dt-button-collection h3{text-align:center;margin-top:4px;margin-bottom:8px;font-size:1.5em;white-space:nowrap;overflow:hidden;text-overflow:ellipsis}div.dt-button-collection span.dtsr-emptyStates{border-radius:5px;display:inline-block;line-height:1.6em;white-space:nowrap;text-align:center;vertical-align:middle;width:100%;padding-bottom:7px;padding-top:3px}span.dtsr-check-label{padding-left:3px}div.dt-button-collection h3{margin-top:8px}div.dt-button-collection div.dropdown-menu{padding-top:0px;padding-bottom:4px}div.dt-button-collection div.dropdown-menu div.dt-btn-split-wrapper{margin-top:4px;padding-left:3px;padding-right:3px}div.dt-button-collection div.dropdown-menu div.dt-btn-split-wrapper button.btn{width:calc(100% - 30px)}div.dt-button-collection div.dropdown-menu div.dt-btn-split-wrapper button.dt-btn-split-drop{width:30px}div.dt-button-collection div.dropdown-menu button.dt-btn-split-drop-button{margin-left:-2px;margin-right:-2px}div.dt-button-split-left div.dropdown-menu{padding-left:4px;padding-right:4px}div.dt-button-split-left div.dropdown-menu button.dt-btn-split-drop-button{color:white;border-radius:4px;background-color:#6b757d;margin-top:4px}div.dt-button-split-left div.dropdown-menu button.dt-btn-split-drop-button:hover{background-color:#5a6268}input.dtsr-input{margin-left:3px;display:inline-block;width:auto}div.dtsr-creation-form div.dtsr-check-row{height:25px}div.dtsr-creation-form div.dtsr-form-row label.dtsr-name-label{width:33.3%;display:inline-block;text-align:left !important;padding-right:15px;padding-left:15px}div.dtsr-creation-form div.dtsr-form-row input.dtsr-name-input{width:66.6%;display:inline-block}div.dtsr-creation-form div.dtsr-form-row input.dtsr-check-box{margin-left:33.3%;margin-right:14px;display:inline-block;position:relative;float:none;line-height:normal}div.dtsr-confirmation-text{margin-top:1.5em}
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/StateRestore/css/stateRestore.dataTables.min.css
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/StateRestore/css/stateRestore.dataTables.min.css	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/StateRestore/css/stateRestore.dataTables.min.css	(revision 3761)
@@ -0,0 +1 @@
+div.dtsr-confirmation,div.dtsr-creation{position:fixed;top:20%;left:50%;width:500px;background-color:white;margin-left:-250px;border-radius:6px;box-shadow:0 0 5px #555;border:2px solid #444;z-index:2003;box-sizing:border-box;padding:1em}div.dtsr-confirmation div.dtsr-confirmation-title-row,div.dtsr-creation div.dtsr-confirmation-title-row{text-align:left}div.dtsr-confirmation div.dtsr-confirmation-title-row h2,div.dtsr-creation div.dtsr-confirmation-title-row h2{border-bottom:0px;margin-top:0px;padding-top:0px}div.dtsr-confirmation div.dtsr-confirmation-text,div.dtsr-creation div.dtsr-confirmation-text{text-align:center}div.dtsr-confirmation div.dtsr-confirmation-buttons,div.dtsr-creation div.dtsr-confirmation-buttons{text-align:right;margin-top:1em}div.dtsr-confirmation div.dtsr-confirmation-buttons button.dtsr-confirmation-button,div.dtsr-creation div.dtsr-confirmation-buttons button.dtsr-confirmation-button{margin:0px}div.dtsr-confirmation div.dtsr-creation-text,div.dtsr-creation div.dtsr-creation-text{text-align:left;padding:0px;border:none}div.dtsr-confirmation div.dtsr-creation-text span,div.dtsr-creation div.dtsr-creation-text span{font-size:20px}div.dtsr-confirmation div.dtsr-creation-form div.dtsr-left,div.dtsr-confirmation div.dtsr-creation-form div.dtsr-right,div.dtsr-creation div.dtsr-creation-form div.dtsr-left,div.dtsr-creation div.dtsr-creation-form div.dtsr-right{display:inline-block;width:50%}div.dtsr-confirmation div.dtsr-creation-form div.dtsr-left,div.dtsr-creation div.dtsr-creation-form div.dtsr-left{text-align:right}div.dtsr-confirmation div.dtsr-creation-form div.dtsr-right,div.dtsr-confirmation div.dtsr-creation-form div.dtsr-name-row,div.dtsr-creation div.dtsr-creation-form div.dtsr-right,div.dtsr-creation div.dtsr-creation-form div.dtsr-name-row{text-align:left}div.dtsr-confirmation div.dtsr-creation-form div.dtsr-form-row label.dtsr-name-label,div.dtsr-creation div.dtsr-creation-form div.dtsr-form-row label.dtsr-name-label{width:33.3%;display:inline-block;text-align:right;padding-right:15px;padding-left:15px}div.dtsr-confirmation div.dtsr-creation-form div.dtsr-form-row input.dtsr-name-input,div.dtsr-creation div.dtsr-creation-form div.dtsr-form-row input.dtsr-name-input{width:66.6%;display:inline-block}div.dtsr-confirmation div.dtsr-creation-form div.dtsr-form-row input.dtsr-check-box,div.dtsr-creation div.dtsr-creation-form div.dtsr-form-row input.dtsr-check-box{margin-left:33.3%;margin-right:14px;display:inline-block}div.dtsr-confirmation div.dtsr-creation-form div.dtsr-form-row label.dtsr-toggle-title,div.dtsr-creation div.dtsr-creation-form div.dtsr-form-row label.dtsr-toggle-title{margin-right:-33.3%}div.dtsr-confirmation div.dtsr-confirmation-text,div.dtsr-creation div.dtsr-confirmation-text{text-align:left}div.dtsr-confirmation div.dtsr-confirmation-text label.dtsr-name-label,div.dtsr-creation div.dtsr-confirmation-text label.dtsr-name-label{width:auto;display:inline-block;text-align:right;padding-right:15px}div.dtsr-confirmation div.dtsr-confirmation-text input.dtsr-name-input,div.dtsr-creation div.dtsr-confirmation-text input.dtsr-name-input{width:66.6%;display:inline-block}div.dtsr-confirmation div.dtsr-confirmation-text input.dtsr-check-box,div.dtsr-creation div.dtsr-confirmation-text input.dtsr-check-box{margin-left:33.3%;margin-right:14px;display:inline-block}div.dtsr-confirmation div.dtsr-modal-foot,div.dtsr-creation div.dtsr-modal-foot{text-align:right;padding-top:10px}div.dtsr-confirmation span.dtsr-modal-error,div.dtsr-creation span.dtsr-modal-error{color:red;font-size:.9em}div.dtsr-creation{top:10%}div.dtsr-form-row{padding:10px}div.dtsr-check-row{padding-top:0px}div.dtsr-creation-text{padding:10px}div.dtsr-popover-close{position:absolute;top:10px;right:10px;width:22px;height:22px;border:1px solid #eaeaea;background-color:#f9f9f9;text-align:center;border-radius:3px;cursor:pointer;z-index:12}div.dtsr-background{z-index:2002;position:fixed;top:0;left:0;width:100%;height:100%;background:rgba(0, 0, 0, 0.7);background:radial-gradient(ellipse farthest-corner at center, rgba(0, 0, 0, 0.3) 0%, rgba(0, 0, 0, 0.7) 100%)}div.dt-button-collection h3{text-align:center;margin-top:4px;margin-bottom:8px;font-size:1.5em;white-space:nowrap;overflow:hidden;text-overflow:ellipsis}div.dt-button-collection span.dtsr-emptyStates{border-radius:5px;display:inline-block;line-height:1.6em;white-space:nowrap;text-align:center;vertical-align:middle;width:100%;padding-bottom:7px;padding-top:3px}div.dt-button-collection h3{font-size:1.1em}div.dtsr-creation-form div.dtsr-form-row input.dtsr-name-input{width:57% !important;padding:5px 4px;border:1px solid #aaa;border-radius:3px}div.dtsr-creation-form div.dtsr-form-row input.dtsr-check-box{margin-left:calc(33.3% + 30px) !important}div.dtsr-creation-form div.dtsr-form-row label.dtsr-toggle-title{margin-right:calc(-33.3% - 30px) !important}
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/StateRestore/js/stateRestore.foundation.min.js
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/StateRestore/js/stateRestore.foundation.min.js	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/StateRestore/js/stateRestore.foundation.min.js	(revision 3761)
@@ -0,0 +1,6 @@
+/*!
+ Bootstrap integration for DataTables' StateRestore
+ Â©2016 SpryMedia Ltd - datatables.net/license
+*/
+(function(b){"function"===typeof define&&define.amd?define(["jquery","datatables.net-zf","datatables.net-staterestore"],function(a){return b(a)}):"object"===typeof exports?module.exports=function(a,c){a||(a=window);c&&c.fn.dataTable||(c=require("datatables.net-zf")(a,c).$);c.fn.dataTable.StateRestore||require("datatables.net-staterestore")(a,c);return b(c)}:b(jQuery)})(function(b){var a=b.fn.dataTable;b.extend(!0,a.StateRestoreCollection.classes,{checkBox:"dtsr-check-box form-check-input",checkLabel:"dtsr-check-label form-check-label",
+checkRow:"dtsr-check-row form",creationButton:"dtsr-creation-button button",creationForm:"dtsr-creation-form modal-body",creationText:"dtsr-creation-text modal-header",creationTitle:"dtsr-creation-title modal-title",nameInput:"dtsr-name-input form-control",nameLabel:"dtsr-name-label form-label",nameRow:"dtsr-name-row medium-6 cell"});b.extend(!0,a.StateRestore.classes,{confirmationButton:"dtsr-confirmation-button button"});return a.stateRestore});
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/StateRestore/js/stateRestore.bootstrap.min.js
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/StateRestore/js/stateRestore.bootstrap.min.js	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/StateRestore/js/stateRestore.bootstrap.min.js	(revision 3761)
@@ -0,0 +1,2 @@
+(function(b){"function"===typeof define&&define.amd?define(["jquery","datatables.net-bs","datatables.net-staterestore"],function(a){return b(a)}):"object"===typeof exports?module.exports=function(a,c){a||(a=window);c&&c.fn.dataTable||(c=require("datatables.net-bs")(a,c).$);c.fn.dataTable.StateRestore||require("datatables.net-staterestore")(a,c);return b(c)}:b(jQuery)})(function(b){var a=b.fn.dataTable;b.extend(!0,a.StateRestoreCollection.classes,{checkBox:"dtsr-check-box form-check-input",creationButton:"dtsr-creation-button btn btn-default",
+creationForm:"dtsr-creation-form modal-body",creationText:"dtsr-creation-text modal-header",creationTitle:"dtsr-creation-title modal-title",nameInput:"dtsr-name-input form-control"});b.extend(!0,a.StateRestore.classes,{confirmationButton:"dtsr-confirmation-button btn btn-default",confirmationTitle:"dtsr-confirmation title modal-header",input:"dtsr-input form-control"});return a.stateRestore});
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/StateRestore/js/stateRestore.jqueryui.min.js
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/StateRestore/js/stateRestore.jqueryui.min.js	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/StateRestore/js/stateRestore.jqueryui.min.js	(revision 3761)
@@ -0,0 +1,7 @@
+/*!
+ Bootstrap integration for DataTables' StateRestore
+ Â©2016 SpryMedia Ltd - datatables.net/license
+*/
+(function(b){"function"===typeof define&&define.amd?define(["jquery","datatables.net-jq","datatables.net-staterestore"],function(a){return b(a)}):"object"===typeof exports?module.exports=function(a,c){a||(a=window);c&&c.fn.dataTable||(c=require("datatables.net-jq")(a,c).$);c.fn.dataTable.StateRestore||require("datatables.net-staterestore")(a,c);return b(c)}:b(jQuery)})(function(b){var a=b.fn.dataTable;b.extend(!0,a.StateRestoreCollection.classes,{checkBox:"dtsr-check-box form-check-input",checkLabel:"dtsr-check-label form-check-label",
+checkRow:"dtsr-check-row form",creationButton:"dtsr-creation-button ui-button ui-corner-all ui-widget",creationForm:"dtsr-creation-form modal-body",creationText:"dtsr-creation-text modal-header",creationTitle:"dtsr-creation-title modal-title",nameInput:"dtsr-name-input form-control",nameLabel:"dtsr-name-label form-label",nameRow:"dtsr-name-row medium-6 cell"});b.extend(!0,a.StateRestore.classes,{confirmationButton:"dtsr-confirmation-button ui-button ui-state-default ui-button-text-only ui-corner-all ui-widget"});
+return a.stateRestore});
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/StateRestore/js/stateRestore.bulma.min.js
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/StateRestore/js/stateRestore.bulma.min.js	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/StateRestore/js/stateRestore.bulma.min.js	(revision 3761)
@@ -0,0 +1,6 @@
+/*!
+ Bootstrap integration for DataTables' StateRestore
+ Â©2016 SpryMedia Ltd - datatables.net/license
+*/
+(function(b){"function"===typeof define&&define.amd?define(["jquery","datatables.net-bm","datatables.net-staterestore"],function(a){return b(a)}):"object"===typeof exports?module.exports=function(a,c){a||(a=window);c&&c.fn.dataTable||(c=require("datatables.net-bm")(a,c).$);c.fn.dataTable.StateRestore||require("datatables.net-staterestore")(a,c);return b(c)}:b(jQuery)})(function(b){var a=b.fn.dataTable;b.extend(!0,a.StateRestoreCollection.classes,{checkRow:"dtsr-check-row checkbox",creationButton:"dtsr-creation-button button",
+creationForm:"dtsr-creation-form modal-content",creationText:"dtsr-creation-text modal-header",creationTitle:"dtsr-creation-title modal-card-title",nameInput:"dtsr-name-input input"});b.extend(!0,a.StateRestore.classes,{confirmationButton:"dtsr-confirmation-button button",confirmationTitle:"dtsr-confirmation-title modal-card-title",input:"dtsr-input input"});return a.stateRestore});
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/StateRestore/js/stateRestore.bootstrap4.min.js
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/StateRestore/js/stateRestore.bootstrap4.min.js	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/StateRestore/js/stateRestore.bootstrap4.min.js	(revision 3761)
@@ -0,0 +1,6 @@
+/*!
+ Bootstrap integration for DataTables' StateRestore
+ Â©2016 SpryMedia Ltd - datatables.net/license
+*/
+(function(b){"function"===typeof define&&define.amd?define(["jquery","datatables.net-bs4","datatables.net-staterestore"],function(a){return b(a)}):"object"===typeof exports?module.exports=function(a,c){a||(a=window);c&&c.fn.dataTable||(c=require("datatables.net-bs4")(a,c).$);c.fn.dataTable.StateRestore||require("datatables.net-staterestore")(a,c);return b(c)}:b(jQuery)})(function(b){var a=b.fn.dataTable;b.extend(!0,a.StateRestoreCollection.classes,{checkBox:"dtsr-check-box form-check-input",creationButton:"dtsr-creation-button btn btn-secondary",
+creationForm:"dtsr-creation-form modal-body",creationText:"dtsr-creation-text modal-header",creationTitle:"dtsr-creation-title modal-title",nameInput:"dtsr-name-input form-control"});b.extend(!0,a.StateRestore.classes,{confirmationButton:"dtsr-confirmation-button btn btn-secondary",input:"dtsr-input form-control"});return a.stateRestore});
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/StateRestore/js/stateRestore.semanticui.min.js
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/StateRestore/js/stateRestore.semanticui.min.js	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/StateRestore/js/stateRestore.semanticui.min.js	(revision 3761)
@@ -0,0 +1,7 @@
+/*!
+ Bootstrap integration for DataTables' StateRestore
+ Â©2016 SpryMedia Ltd - datatables.net/license
+*/
+(function(b){"function"===typeof define&&define.amd?define(["jquery","datatables.net-se","datatables.net-staterestore"],function(a){return b(a)}):"object"===typeof exports?module.exports=function(a,c){a||(a=window);c&&c.fn.dataTable||(c=require("datatables.net-se")(a,c).$);c.fn.dataTable.StateRestore||require("datatables.net-staterestore")(a,c);return b(c)}:b(jQuery)})(function(b){var a=b.fn.dataTable;b.extend(!0,a.StateRestoreCollection.classes,{checkBox:"dtsr-check-box form-check-input",checkLabel:"dtsr-check-label form-check-label",
+checkRow:"dtsr-check-row form",creationButton:"dtsr-creation-button ui button primary",creationForm:"dtsr-creation-form modal-body",creationText:"dtsr-creation-text modal-header",creationTitle:"dtsr-creation-title modal-title",nameInput:"dtsr-name-input form-control",nameLabel:"dtsr-name-label form-label",nameRow:"dtsr-name-row ui input"});b.extend(!0,a.StateRestore.classes,{confirmation:"dtsr-confirmation modal",confirmationButton:"dtsr-confirmation-button ui button primary",confirmationText:"dtsr-confirmation-text modal-body",
+renameModal:"dtsr-rename-modal ui input"});return a.stateRestore});
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/StateRestore/js/stateRestore.bootstrap5.min.js
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/StateRestore/js/stateRestore.bootstrap5.min.js	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/StateRestore/js/stateRestore.bootstrap5.min.js	(revision 3761)
@@ -0,0 +1,6 @@
+/*!
+ Bootstrap integration for DataTables' StateRestore
+ Â©2016 SpryMedia Ltd - datatables.net/license
+*/
+(function(b){"function"===typeof define&&define.amd?define(["jquery","datatables.net-bs5","datatables.net-staterestore"],function(a){return b(a)}):"object"===typeof exports?module.exports=function(a,c){a||(a=window);c&&c.fn.dataTable||(c=require("datatables.net-bs5")(a,c).$);c.fn.dataTable.StateRestore||require("datatables.net-staterestore")(a,c);return b(c)}:b(jQuery)})(function(b){var a=b.fn.dataTable;b.extend(!0,a.StateRestoreCollection.classes,{checkBox:"dtsr-check-box form-check-input",checkLabel:"dtsr-check-label form-check-label",
+checkRow:"dtsr-check-row form-check",creationButton:"dtsr-creation-button btn btn-secondary",creationForm:"dtsr-creation-form modal-body",creationText:"dtsr-creation-text modal-header",creationTitle:"dtsr-creation-title modal-title",nameInput:"dtsr-name-input form-control",nameLabel:"dtsr-name-label form-label"});b.extend(!0,a.StateRestore.classes,{confirmationButton:"dtsr-confirmation-button btn btn-secondary",input:"dtsr-input form-control"});return a.stateRestore});
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/StateRestore/js/dataTables.stateRestore.min.js
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/StateRestore/js/dataTables.stateRestore.min.js	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/StateRestore/js/dataTables.stateRestore.min.js	(revision 3761)
@@ -0,0 +1,105 @@
+/*!
+ StateRestore 1.1.1
+ 2019-2022 SpryMedia Ltd - datatables.net/license
+*/
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+url:c.c.ajax}):"function"===typeof c.c.ajax&&c.c.ajax.call(c.s.dt,a,m);else try{localStorage.removeItem("DataTables_stateRestore_"+c.s.identifier+"_"+location.pathname+(c.s.tableId?"_"+c.s.tableId:"")),m()}catch(e){return c.dom.confirmation.children("."+c.classes.modalError).remove(),c.dom.confirmation.append(c.dom.removeError),!1}return!0};if(null!==b){if(d.includes(b))throw Error(this.s.dt.i18n("stateRestore.duplicateError",this.c.i18n.duplicateError));if(0===b.length)throw Error(this.s.dt.i18n("stateRestore.emptyError",
+this.c.i18n.emptyError));this.dom.confirmation.appendTo(this.dom.dtContainer);f(this.s.dt.table().node()).trigger("dtsr-modal-inserted");g();this.dom.confirmation.remove()}else this.dom.renameInput.val(this.s.identifier),this.dom.renameContents.append(this.dom.renameInput),this._newModal(this.dom.renameTitle,this.s.dt.i18n("stateRestore.renameButton",this.c.i18n.renameButton),g,this.dom.renameContents)}};p.prototype.save=function(b,d,c){var g,m=this;void 0===c&&(c=!0);if(this.c.save){this.s.dt.state.save();
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+a[b];e.parent&&(e.parent=void 0)}if(this.s.isPreDefined)d&&d.call(this);else{var h={action:"save",stateRestore:(g={},g[this.s.identifier]=this.s.savedState,g)},q=function(){d&&d.call(m);m.dom.confirmation.trigger("dtsr-save");f(m.s.dt.table().node()).trigger("stateRestore-change")};if(this.c.ajax)if("string"===typeof this.c.ajax&&c)if(this.s.dt.settings()[0]._bInitComplete)f.ajax({data:h,success:q,type:"POST",url:this.c.ajax});else this.s.dt.one("init",function(){f.ajax({data:h,success:q,type:"POST",
+url:m.c.ajax})});else"function"===typeof this.c.ajax&&c&&this.c.ajax.call(this.s.dt,h,q);else localStorage.setItem("DataTables_stateRestore_"+this.s.identifier+"_"+location.pathname+(this.s.tableId?"_"+this.s.tableId:""),JSON.stringify(this.s.savedState)),q()}}else d&&d.call(this)};p.prototype._deepCompare=function(b,d){var c=[b,d];b=[Object.keys(b).sort(),Object.keys(d).sort()];b[0].includes("scroller")&&(d=b[0].indexOf("start"))&&b[0].splice(d,1);b[1].includes("scroller")&&(d=b[1].indexOf("start"))&&
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+0<b[0].length)return!1;for(d=0;d<b[0].length;d++)b[1].includes(b[0][d])||(b[0].splice(d,1),d--);for(d=0;d<b[1].length;d++)b[0].includes(b[1][d])||(b[1].splice(d,1),d--);for(d=0;d<b[0].length;d++){if(b[0][d]!==b[1][d]||typeof c[0][b[0][d]]!==typeof c[1][b[1][d]])return!1;if("object"===typeof c[0][b[0][d]]){if(!this._deepCompare(c[0][b[0][d]],c[1][b[1][d]]))return!1}else if("number"===typeof c[0][b[0][d]]&&"number"===typeof c[1][b[1][d]]){if(Math.round(c[0][b[0][d]])!==Math.round(c[1][b[1][d]]))return!1}else if(c[0][b[0][d]]!==
+c[1][b[1][d]])return!1}return!0};p.prototype._keyupFunction=function(b){"Enter"===b.key?this.dom.confirmationButton.click():"Escape"===b.key&&f("div."+this.classes.background.replace(/ /g,".")).click()};p.prototype._newModal=function(b,d,c,g){var m=this;this.dom.background.appendTo(this.dom.dtContainer);this.dom.confirmationTitleRow.empty().append(b);this.dom.confirmationButton.html(d);this.dom.confirmation.empty().append(this.dom.confirmationTitleRow).append(g).append(f('<div class="'+this.classes.confirmationButtons+
+'"></div>').append(this.dom.confirmationButton)).appendTo(this.dom.dtContainer);f(this.s.dt.table().node()).trigger("dtsr-modal-inserted");b=g.children("input");0<b.length?f(b[0]).focus():this.dom.confirmationButton.focus();var a=f("div."+this.classes.background.replace(/ /g,"."));this.c.modalCloseButton&&(this.dom.confirmation.append(this.dom.closeButton),this.dom.closeButton.on("click",function(){return a.click()}));this.dom.confirmationButton.on("click",function(){return c()});this.dom.confirmation.on("click",
+function(e){e.stopPropagation()});a.one("click",function(){m.dom.background.remove();m.dom.confirmation.remove();f(document).unbind("keyup",function(e){return m._keyupFunction(e)})});f(document).on("keyup",function(e){return m._keyupFunction(e)})};p.prototype._searchToHung=function(b){return{bCaseInsensitive:b.caseInsensitive,bRegex:b.regex,bSmart:b.smart,sSearch:b.search}};p.version="1.1.1";p.classes={background:"dtsr-background",closeButton:"dtsr-popover-close",confirmation:"dtsr-confirmation",
+confirmationButton:"dtsr-confirmation-button",confirmationButtons:"dtsr-confirmation-buttons",confirmationMessage:"dtsr-confirmation-message dtsr-name-label",confirmationText:"dtsr-confirmation-text",confirmationTitle:"dtsr-confirmation-title",confirmationTitleRow:"dtsr-confirmation-title-row",dtButton:"dt-button",input:"dtsr-input",modalError:"dtsr-modal-error",renameModal:"dtsr-rename-modal"};p.defaults={_createInSaved:!1,ajax:!1,create:!0,creationModal:!1,i18n:{creationModal:{button:"Create",colReorder:"Column Order:",
+columns:{search:"Column Search:",visible:"Column Visibility:"},length:"Page Length:",name:"Name:",order:"Sorting:",paging:"Paging:",scroller:"Scroll Position:",search:"Search:",searchBuilder:"SearchBuilder:",searchPanes:"SearchPanes:",select:"Select:",title:"Create New State",toggleLabel:"Includes:"},duplicateError:"A state with this name already exists.",emptyError:"Name cannot be empty.",emptyStates:"No saved states",removeConfirm:"Are you sure you want to remove %s?",removeError:"Failed to remove state.",
+removeJoiner:" and ",removeSubmit:"Remove",removeTitle:"Remove State",renameButton:"Rename",renameLabel:"New Name for %s:",renameTitle:"Rename State"},modalCloseButton:!0,remove:!0,rename:!0,save:!0,saveState:{colReorder:!0,columns:{search:!0,visible:!0},length:!0,order:!0,paging:!0,scroller:!0,search:!0,searchBuilder:!0,searchPanes:!0,select:!0},splitSecondaries:["updateState","renameState","removeState"],toggle:{colReorder:!1,columns:{search:!1,visible:!1},length:!1,order:!1,paging:!1,scroller:!1,
+search:!1,searchBuilder:!1,searchPanes:!1,select:!1}};return p}(),n,x,C=function(){function p(b,d){var c=this;if(!x||!x.versionCheck||!x.versionCheck("1.10.0"))throw Error("StateRestore requires DataTables 1.10 or newer");if(!x.Buttons)throw Error("StateRestore requires Buttons");b=new x.Api(b);this.classes=n.extend(!0,{},p.classes);if(void 0===b.settings()[0]._stateRestore){this.c=n.extend(!0,{},p.defaults,d);this.s={dt:b,hasColReorder:void 0!==x.ColReorder,hasScroller:void 0!==x.Scroller,hasSearchBuilder:void 0!==
+x.SearchBuilder,hasSearchPanes:void 0!==x.SearchPanes,hasSelect:void 0!==x.select,states:[]};this.s.dt.on("xhr",function(a,e,h){h&&h.stateRestore&&c._addPreDefined(h.stateRestore)});this.dom={background:n('<div class="'+this.classes.background+'"/>'),closeButton:n('<div class="'+this.classes.closeButton+'">x</div>'),colReorderToggle:n('<div class="'+this.classes.formRow+" "+this.classes.checkRow+'"><input type="checkbox" class="'+this.classes.colReorderToggle+" "+this.classes.checkBox+'" checked><label class="'+
+this.classes.checkLabel+'">'+this.s.dt.i18n("stateRestore.creationModal.colReorder",this.c.i18n.creationModal.colReorder)+"</label></div>"),columnsSearchToggle:n('<div class="'+this.classes.formRow+" "+this.classes.checkRow+'"><input type="checkbox" class="'+this.classes.columnsSearchToggle+" "+this.classes.checkBox+'" checked><label class="'+this.classes.checkLabel+'">'+this.s.dt.i18n("stateRestore.creationModal.columns.search",this.c.i18n.creationModal.columns.search)+"</label></div>"),columnsVisibleToggle:n('<div class="'+
+this.classes.formRow+" "+this.classes.checkRow+' "><input type="checkbox" class="'+this.classes.columnsVisibleToggle+" "+this.classes.checkBox+'" checked><label class="'+this.classes.checkLabel+'">'+this.s.dt.i18n("stateRestore.creationModal.columns.visible",this.c.i18n.creationModal.columns.visible)+"</label></div>"),confirmation:n('<div class="'+this.classes.confirmation+'"/>'),confirmationTitleRow:n('<div class="'+this.classes.confirmationTitleRow+'"></div>'),createButtonRow:n('<div class="'+this.classes.formRow+
+" "+this.classes.modalFoot+'"><button class="'+this.classes.creationButton+" "+this.classes.dtButton+'">'+this.s.dt.i18n("stateRestore.creationModal.button",this.c.i18n.creationModal.button)+"</button></div>"),creation:n('<div class="'+this.classes.creation+'"/>'),creationForm:n('<div class="'+this.classes.creationForm+'"/>'),creationTitle:n('<div class="'+this.classes.creationText+'"><h2 class="'+this.classes.creationTitle+'">'+this.s.dt.i18n("stateRestore.creationModal.title",this.c.i18n.creationModal.title)+
+"</h2></div>"),dtContainer:n(this.s.dt.table().container()),duplicateError:n('<span class="'+this.classes.modalError+'">'+this.s.dt.i18n("stateRestore.duplicateError",this.c.i18n.duplicateError)+"</span>"),emptyError:n('<span class="'+this.classes.modalError+'">'+this.s.dt.i18n("stateRestore.emptyError",this.c.i18n.emptyError)+"</span>"),lengthToggle:n('<div class="'+this.classes.formRow+" "+this.classes.checkRow+'"><input type="checkbox" class="'+this.classes.lengthToggle+" "+this.classes.checkBox+
+'" checked><label class="'+this.classes.checkLabel+'">'+this.s.dt.i18n("stateRestore.creationModal.length",this.c.i18n.creationModal.length)+"</label></div>"),nameInputRow:n('<div class="'+this.classes.formRow+'"><label class="'+this.classes.nameLabel+'">'+this.s.dt.i18n("stateRestore.creationModal.name",this.c.i18n.creationModal.name)+'</label><input class="'+this.classes.nameInput+'" type="text"></div>'),orderToggle:n('<div class="'+this.classes.formRow+" "+this.classes.checkRow+'"><input type="checkbox" class="'+
+this.classes.orderToggle+" "+this.classes.checkBox+'" checked><label class="'+this.classes.checkLabel+'">'+this.s.dt.i18n("stateRestore.creationModal.order",this.c.i18n.creationModal.order)+"</label></div>"),pagingToggle:n('<div class="'+this.classes.formRow+" "+this.classes.checkRow+'"><input type="checkbox" class="'+this.classes.pagingToggle+" "+this.classes.checkBox+'" checked><label class="'+this.classes.checkLabel+'">'+this.s.dt.i18n("stateRestore.creationModal.paging",this.c.i18n.creationModal.paging)+
+"</label></div>"),removeContents:n('<div class="'+this.classes.confirmationText+'"><span></span></div>'),removeTitle:n('<div class="'+this.classes.creationText+'"><h2 class="'+this.classes.creationTitle+'">'+this.s.dt.i18n("stateRestore.removeTitle",this.c.i18n.removeTitle)+"</h2></div>"),scrollerToggle:n('<div class="'+this.classes.formRow+" "+this.classes.checkRow+'"><input type="checkbox" class="'+this.classes.scrollerToggle+" "+this.classes.checkBox+'" checked><label class="'+this.classes.checkLabel+
+'">'+this.s.dt.i18n("stateRestore.creationModal.scroller",this.c.i18n.creationModal.scroller)+"</label></div>"),searchBuilderToggle:n('<div class="'+this.classes.formRow+" "+this.classes.checkRow+'"><input type="checkbox" class="'+this.classes.searchBuilderToggle+" "+this.classes.checkBox+'" checked><label class="'+this.classes.checkLabel+'">'+this.s.dt.i18n("stateRestore.creationModal.searchBuilder",this.c.i18n.creationModal.searchBuilder)+"</label></div>"),searchPanesToggle:n('<div class="'+this.classes.formRow+
+" "+this.classes.checkRow+'"><input type="checkbox" class="'+this.classes.searchPanesToggle+" "+this.classes.checkBox+'" checked><label class="'+this.classes.checkLabel+'">'+this.s.dt.i18n("stateRestore.creationModal.searchPanes",this.c.i18n.creationModal.searchPanes)+"</label></div>"),searchToggle:n('<div class="'+this.classes.formRow+" "+this.classes.checkRow+'"><input type="checkbox" class="'+this.classes.searchToggle+" "+this.classes.checkBox+'" checked><label class="'+this.classes.checkLabel+
+'">'+this.s.dt.i18n("stateRestore.creationModal.search",this.c.i18n.creationModal.search)+"</label></div>"),selectToggle:n('<div class="'+this.classes.formRow+" "+this.classes.checkRow+'"><input type="checkbox" class="'+this.classes.selectToggle+" "+this.classes.checkBox+'" checked><label class="'+this.classes.checkLabel+'">'+this.s.dt.i18n("stateRestore.creationModal.select",this.c.i18n.creationModal.select)+"</label></div>"),toggleLabel:n('<label class="'+this.classes.nameLabel+" "+this.classes.toggleLabel+
+'">'+this.s.dt.i18n("stateRestore.creationModal.toggleLabel",this.c.i18n.creationModal.toggleLabel)+"</label>")};b.settings()[0]._stateRestore=this;this._searchForStates();this._addPreDefined(this.c.preDefined);var g,m={action:"load"};"function"===typeof this.c.ajax?g=function(){"function"===typeof c.c.ajax&&c.c.ajax.call(c.s.dt,m,function(a){return c._addPreDefined(a)})}:"string"===typeof this.c.ajax&&(g=function(){n.ajax({data:m,success:function(a){c._addPreDefined(a)},type:"POST",url:c.c.ajax})});
+if("function"===typeof g)if(this.s.dt.settings()[0]._bInitComplete)g();else this.s.dt.one("preInit.dtsr",function(){g()});this.s.dt.on("destroy.dtsr",function(){c.destroy()});this.s.dt.on("draw.dtsr buttons-action.dtsr",function(){return c.findActive()});return this}}p.prototype.addState=function(b,d,c){var g=this;if(this.c.create&&this.c.save){var m=function(a,e){if(0===a.length)return"empty";if(d.includes(a))return"duplicate";g.s.dt.state.save();var h=g.s.dt.state();h.stateRestore={isPredefined:!1,
+state:a,tableId:g.s.dt.table().node().id};if(e.saveState){for(var q=g.c.saveState,k=0,v=Object.keys(e.saveState);k<v.length;k++){var w=v[k];e.saveState[w]||(q[w]=!1)}g.c.saveState=q}var A=new u(g.s.dt.settings()[0],n.extend(!0,{},g.c,c),a,h,!1,function(){g.s.states.push(this);g._collectionRebuild()});n(g.s.dt.table().node()).on("dtsr-modal-inserted",function(){A.dom.confirmation.one("dtsr-remove",function(){return g._removeCallback(A.s.identifier)});A.dom.confirmation.one("dtsr-rename",function(){return g._collectionRebuild()});
+A.dom.confirmation.one("dtsr-save",function(){return g._collectionRebuild()})});return!0};if(null===this.getState(b))if(this.c.creationModal||void 0!==c&&c.creationModal)this._creationModal(m,b,c);else{b=m(b,{});if("empty"===b)throw Error(this.s.dt.i18n("stateRestore.emptyError",this.c.i18n.emptyError));if("duplicate"===b)throw Error(this.s.dt.i18n("stateRestore.duplicateError",this.c.i18n.duplicateError));}else throw Error(this.s.dt.i18n("stateRestore.duplicateError",this.c.i18n.duplicateError));
+}};p.prototype.removeAll=function(b){if(0!==this.s.states.length){var d=this.s.states.map(function(g){return g.s.identifier}),c=d[0];1<d.length&&(c=d.slice(0,-1).join(", ")+this.s.dt.i18n("stateRestore.removeJoiner",this.c.i18n.removeJoiner)+d.slice(-1));n(this.dom.removeContents.children("span")).html(this.s.dt.i18n("stateRestore.removeConfirm",this.c.i18n.removeConfirm).replace(/%s/g,c));this._newModal(this.dom.removeTitle,this.s.dt.i18n("stateRestore.removeSubmit",this.c.i18n.removeSubmit),b,this.dom.removeContents)}};
+p.prototype.destroy=function(){for(var b=0,d=this.s.states;b<d.length;b++)d[b].destroy();Object.values(this.dom).forEach(function(c){c.off();c.remove()});this.s.states=[];this.s.dt.off(".dtsr");n(this.s.dt.table().node()).off(".dtsr")};p.prototype.findActive=function(){this.s.dt.state.save();var b=this.s.dt.state(),d=n("button."+n.fn.DataTable.Buttons.defaults.dom.button.className.replace(/ /g,"."));0===d.length&&(d=n("a."+n.fn.DataTable.Buttons.defaults.dom.button.className.replace(/ /g,".")));for(var c=
+0,g=d;c<g.length;c++){var m=g[c];this.s.dt.button(n(m).parent()[0]).active(!1)}c=[];g=0;for(var a=this.s.states;g<a.length;g++){var e=a[g];if(e.compare(b)){c.push({data:e.s.savedState,name:e.s.identifier});for(var h=0,q=d;h<q.length;h++)if(m=q[h],n(m).text()===e.s.identifier){this.s.dt.button(n(m).parent()[0]).active(!0);break}}}return c};p.prototype.getState=function(b){for(var d=0,c=this.s.states;d<c.length;d++){var g=c[d];if(g.s.identifier===b)return g}return null};p.prototype.getStates=function(b){if(void 0===
+b)return this.s.states;for(var d=[],c=0;c<b.length;c++){for(var g=b[c],m=!1,a=0,e=this.s.states;a<e.length;a++){var h=e[a];if(g===h.s.identifier){d.push(h);m=!0;break}}m||d.push(void 0)}return d};p.prototype._addPreDefined=function(b){for(var d=this,c=function(e){for(var h=0;h<g.s.states.length;h++)g.s.states[h].s.identifier===e&&g.s.states.splice(h,1);var q=g;h=b[e];var k=new u(g.s.dt,n.extend(!0,{},g.c,void 0!==h.c?{saveState:h.c.saveState}:void 0,!0),e,h,!0,function(){q.s.states.push(this);q._collectionRebuild()});
+k.s.savedState=h;n(g.s.dt.table().node()).on("dtsr-modal-inserted",function(){k.dom.confirmation.one("dtsr-remove",function(){return d._removeCallback(k.s.identifier)});k.dom.confirmation.one("dtsr-rename",function(){return d._collectionRebuild()});k.dom.confirmation.one("dtsr-save",function(){return d._collectionRebuild()})})},g=this,m=0,a=Object.keys(b).sort(function(e,h){return e>h?1:e<h?-1:0});m<a.length;m++)c(a[m])};p.prototype._collectionRebuild=function(){for(var b=this.s.dt.button("SaveStateRestore:name"),
+d=void 0!==b[0]&&void 0!==b[0].inst.c.buttons[0].buttons?b[0].inst.c.buttons[0].buttons:[],c=0;c<d.length;c++)"stateRestore"===d[c].extend&&(d.splice(c,1),c--);this.c._createInSaved&&d.push("createState");c='<span class="'+this.classes.emptyStates+'">'+this.s.dt.i18n("stateRestore.emptyStates",this.c.i18n.emptyStates)+"</span>";if(0===this.s.states.length)d.includes(c)||d.push(c);else{for(;d.includes(c);)d.splice(d.indexOf(c),1);this.s.states=this.s.states.sort(function(e,h){e=e.s.identifier;h=h.s.identifier;
+return e>h?1:e<h?-1:0});c=0;for(var g=this.s.states;c<g.length;c++){var m=g[c],a=Object.assign([],this.c.splitSecondaries);!a.includes("updateState")||this.c.save&&m.c.save||a.splice(a.indexOf("updateState"),1);!a.includes("renameState")||this.c.save&&m.c.save&&this.c.rename&&m.c.rename||a.splice(a.indexOf("renameState"),1);!a.includes("removeState")||this.c.remove&&m.c.remove||a.splice(a.indexOf("removeState"),1);0<a.length&&!a.includes("<h3>"+m.s.identifier+"</h3>")&&a.unshift("<h3>"+m.s.identifier+
+"</h3>");d.push({_stateRestore:m,attr:{title:m.s.identifier},config:{split:a},extend:"stateRestore",text:m.s.identifier})}}b.collectionRebuild(d);b=0;for(d=this.s.dt.buttons();b<d.length;b++)c=d[b],n(c.node).hasClass("dtsr-removeAllStates")&&(0===this.s.states.length?this.s.dt.button(c.node).disable():this.s.dt.button(c.node).enable())};p.prototype._creationModal=function(b,d,c){var g=this;this.dom.creation.empty();this.dom.creationForm.empty();this.dom.nameInputRow.children("input").val(d);this.dom.creationForm.append(this.dom.nameInputRow);
+var m=this.s.dt.settings()[0].oInit;d=[];var a=void 0!==c&&void 0!==c.toggle;((!a||void 0===c.toggle.order)&&this.c.toggle.order||a&&c.toggle.order)&&this.c.saveState.order&&(void 0===m.ordering||m.ordering)&&d.push(this.dom.orderToggle);((!a||void 0===c.toggle.search)&&this.c.toggle.search||a&&c.toggle.search)&&this.c.saveState.search&&(void 0===m.searching||m.searching)&&d.push(this.dom.searchToggle);((!a||void 0===c.toggle.paging)&&this.c.toggle.paging||a&&c.toggle.paging)&&this.c.saveState.paging&&
+(void 0===m.paging||m.paging)&&d.push(this.dom.pagingToggle);((!a||void 0===c.toggle.length)&&this.c.toggle.length||a&&c.toggle.length)&&this.c.saveState.length&&(void 0===m.length||m.length)&&d.push(this.dom.lengthToggle);this.s.hasColReorder&&((!a||void 0===c.toggle.colReorder)&&this.c.toggle.colReorder||a&&c.toggle.colReorder)&&this.c.saveState.colReorder&&d.push(this.dom.colReorderToggle);this.s.hasScroller&&((!a||void 0===c.toggle.scroller)&&this.c.toggle.scroller||a&&c.toggle.scroller)&&this.c.saveState.scroller&&
+d.push(this.dom.scrollerToggle);this.s.hasSearchBuilder&&((!a||void 0===c.toggle.searchBuilder)&&this.c.toggle.searchBuilder||a&&c.toggle.searchBuilder)&&this.c.saveState.searchBuilder&&d.push(this.dom.searchBuilderToggle);this.s.hasSearchPanes&&((!a||void 0===c.toggle.searchPanes)&&this.c.toggle.searchPanes||a&&c.toggle.searchPanes)&&this.c.saveState.searchPanes&&d.push(this.dom.searchPanesToggle);this.s.hasSelect&&((!a||void 0===c.toggle.select)&&this.c.toggle.select||a&&c.toggle.select)&&this.c.saveState.select&&
+d.push(this.dom.selectToggle);"boolean"===typeof this.c.toggle.columns&&((!a||void 0===c.toggle.order)&&this.c.toggle.columns||a&&c.toggle.order)&&this.c.saveState.columns?(d.push(this.dom.columnsSearchToggle),d.push(this.dom.columnsVisibleToggle)):(a&&void 0!==c.toggle.columns||"boolean"===typeof this.c.toggle.columns)&&"boolean"===typeof c.toggle.order||("boolean"!==typeof this.c.saveState.columns&&this.c.saveState.columns?((a&&void 0!==c.toggle.columns&&"boolean"!==typeof c.toggle.columns&&c.toggle.columns.search||
+(!a||void 0===c.toggle.columns||"boolean"!==typeof c.toggle.columns&&void 0===c.toggle.columns.search)&&"boolean"!==typeof this.c.toggle.columns&&this.c.toggle.columns.search)&&this.c.saveState.columns.search&&d.push(this.dom.columnsSearchToggle),(a&&void 0!==c.toggle.columns&&"boolean"!==typeof c.toggle.columns&&c.toggle.columns.visible||(!a||void 0===c.toggle.columns||"boolean"!==typeof c.toggle.columns&&void 0===c.toggle.columns.visible)&&"boolean"!==typeof this.c.toggle.columns&&this.c.toggle.columns.visible)&&
+this.c.saveState.columns.visible&&d.push(this.dom.columnsVisibleToggle)):this.c.saveState.columns&&(d.push(this.dom.columnsSearchToggle),d.push(this.dom.columnsVisibleToggle)));d.sort(function(k,v){k=k.children("label.dtsr-check-label")[0].innerHTML;v=v.children("label.dtsr-check-label")[0].innerHTML;return k<v?-1:k>v?1:0});for(m=0;m<d.length;m++)c=d[m],this.dom.creationForm.append(c);n(this.dom.creationForm.children("div."+this.classes.checkRow)[0]).prepend(this.dom.toggleLabel);this.dom.background.appendTo(this.dom.dtContainer);
+this.dom.creation.append(this.dom.creationTitle).append(this.dom.creationForm).append(this.dom.createButtonRow).appendTo(this.dom.dtContainer);n(this.s.dt.table().node()).trigger("dtsr-modal-inserted");m=function(k){n(k.children("label:last-child")).on("click",function(){k.children("input").prop("checked",!k.children("input").prop("checked"))})};for(a=0;a<d.length;a++)c=d[a],m(c);var e=n("button."+this.classes.creationButton.replace(/ /g,"."));d=this.dom.creationForm.find("input");0<d.length?n(d[0]).focus():
+e.focus();var h=n("div."+this.classes.background.replace(/ /g,".")),q=function(k){"Enter"===k.key?e.click():"Escape"===k.key&&h.click()};this.c.modalCloseButton&&(this.dom.creation.append(this.dom.closeButton),this.dom.closeButton.on("click",function(){return h.click()}));e.on("click",function(){var k={colReorder:g.dom.colReorderToggle.children("input").is(":checked"),columns:{search:g.dom.columnsSearchToggle.children("input").is(":checked"),visible:g.dom.columnsVisibleToggle.children("input").is(":checked")},
+length:g.dom.lengthToggle.children("input").is(":checked"),order:g.dom.orderToggle.children("input").is(":checked"),paging:g.dom.pagingToggle.children("input").is(":checked"),scroller:g.dom.scrollerToggle.children("input").is(":checked"),search:g.dom.searchToggle.children("input").is(":checked"),searchBuilder:g.dom.searchBuilderToggle.children("input").is(":checked"),searchPanes:g.dom.searchPanesToggle.children("input").is(":checked"),select:g.dom.selectToggle.children("input").is(":checked")};k=
+b(n("input."+g.classes.nameInput.replace(/ /g,".")).val(),{saveState:k});!0===k?(g.dom.background.remove(),g.dom.creation.remove(),n(document).unbind("keyup",q)):(g.dom.creation.children("."+g.classes.modalError).remove(),g.dom.creation.append(g.dom[k+"Error"]))});h.one("click",function(){g.dom.background.remove();g.dom.creation.remove();n(document).unbind("keyup",q);g._collectionRebuild()});n(document).on("keyup",q);this.s.dt.state.save()};p.prototype._removeCallback=function(b){for(var d=0;d<this.s.states.length;d++)this.s.states[d].s.identifier===
+b&&(this.s.states.splice(d,1),d--);this._collectionRebuild();return!0};p.prototype._newModal=function(b,d,c,g){var m=this;this.dom.background.appendTo(this.dom.dtContainer);this.dom.confirmationTitleRow.empty().append(b);var a=n('<button class="'+this.classes.confirmationButton+" "+this.classes.dtButton+'">'+d+"</button>");this.dom.confirmation.empty().append(this.dom.confirmationTitleRow).append(g).append(n('<div class="'+this.classes.confirmationButtons+'"></div>').append(a)).appendTo(this.dom.dtContainer);
+n(this.s.dt.table().node()).trigger("dtsr-modal-inserted");b=g.children("input");0<b.length?n(b[0]).focus():a.focus();var e=n("div."+this.classes.background.replace(/ /g,".")),h=function(q){"Enter"===q.key?a.click():"Escape"===q.key&&e.click()};a.on("click",function(){var q=c(!0);!0===q?(m.dom.background.remove(),m.dom.confirmation.remove(),n(document).unbind("keyup",h),a.off("click")):(m.dom.confirmation.children("."+m.classes.modalError).remove(),m.dom.confirmation.append(m.dom[q+"Error"]))});this.dom.confirmation.on("click",
+function(q){q.stopPropagation()});e.one("click",function(){m.dom.background.remove();m.dom.confirmation.remove();n(document).unbind("keyup",h)});n(document).on("keyup",h)};p.prototype._searchForStates=function(){for(var b=this,d=function(a){if(a.match(new RegExp("^DataTables_stateRestore_.*_"+location.pathname.replace(/\//g,"/")+"$"))||a.match(new RegExp("^DataTables_stateRestore_.*_"+location.pathname.replace(/\//g,"/")+"_"+c.s.dt.table().node().id+"$"))){var e=JSON.parse(localStorage.getItem(a));
+if(e.stateRestore.isPreDefined||e.stateRestore.tableId&&e.stateRestore.tableId!==c.s.dt.table().node().id)return"continue";var h=c,q=new u(c.s.dt,n.extend(!0,{},c.c,{saveState:e.c.saveState}),e.stateRestore.state,e,!1,function(){this.s.savedState=e;h.s.states.push(this);h._collectionRebuild()});n(c.s.dt.table().node()).on("dtsr-modal-inserted",function(){q.dom.confirmation.one("dtsr-remove",function(){return b._removeCallback(q.s.identifier)});q.dom.confirmation.one("dtsr-rename",function(){return b._collectionRebuild()});
+q.dom.confirmation.one("dtsr-save",function(){return b._collectionRebuild()})})}},c=this,g=0,m=Object.keys(localStorage);g<m.length;g++)d(m[g])};p.version="1.0.0";p.classes={background:"dtsr-background",checkBox:"dtsr-check-box",checkLabel:"dtsr-check-label",checkRow:"dtsr-check-row",closeButton:"dtsr-popover-close",colReorderToggle:"dtsr-colReorder-toggle",columnsSearchToggle:"dtsr-columns-search-toggle",columnsVisibleToggle:"dtsr-columns-visible-toggle",confirmation:"dtsr-confirmation",confirmationButton:"dtsr-confirmation-button",
+confirmationButtons:"dtsr-confirmation-buttons",confirmationMessage:"dtsr-confirmation-message dtsr-name-label",confirmationText:"dtsr-confirmation-text",confirmationTitle:"dtsr-confirmation-title",confirmationTitleRow:"dtsr-confirmation-title-row",creation:"dtsr-creation",creationButton:"dtsr-creation-button",creationForm:"dtsr-creation-form",creationText:"dtsr-creation-text",creationTitle:"dtsr-creation-title",dtButton:"dt-button",emptyStates:"dtsr-emptyStates",formRow:"dtsr-form-row",leftSide:"dtsr-left",
+lengthToggle:"dtsr-length-toggle",modalError:"dtsr-modal-error",modalFoot:"dtsr-modal-foot",nameInput:"dtsr-name-input",nameLabel:"dtsr-name-label",orderToggle:"dtsr-order-toggle",pagingToggle:"dtsr-paging-toggle",rightSide:"dtsr-right",scrollerToggle:"dtsr-scroller-toggle",searchBuilderToggle:"dtsr-searchBuilder-toggle",searchPanesToggle:"dtsr-searchPanes-toggle",searchToggle:"dtsr-search-toggle",selectToggle:"dtsr-select-toggle",toggleLabel:"dtsr-toggle-title"};p.defaults={_createInSaved:!1,ajax:!1,
+create:!0,creationModal:!1,i18n:{creationModal:{button:"Create",colReorder:"Column Order",columns:{search:"Column Search",visible:"Column Visibility"},length:"Page Length",name:"Name:",order:"Sorting",paging:"Paging",scroller:"Scroll Position",search:"Search",searchBuilder:"SearchBuilder",searchPanes:"SearchPanes",select:"Select",title:"Create New State",toggleLabel:"Includes:"},duplicateError:"A state with this name already exists.",emptyError:"Name cannot be empty.",emptyStates:"No saved states",
+removeConfirm:"Are you sure you want to remove %s?",removeError:"Failed to remove state.",removeJoiner:" and ",removeSubmit:"Remove",removeTitle:"Remove State",renameButton:"Rename",renameLabel:"New Name for %s:",renameTitle:"Rename State"},modalCloseButton:!0,preDefined:{},remove:!0,rename:!0,save:!0,saveState:{colReorder:!0,columns:{search:!0,visible:!0},length:!0,order:!0,paging:!0,scroller:!0,search:!0,searchBuilder:!0,searchPanes:!0,select:!0},splitSecondaries:["updateState","renameState","removeState"],
+toggle:{colReorder:!1,columns:{search:!1,visible:!1},length:!1,order:!1,paging:!1,scroller:!1,search:!1,searchBuilder:!1,searchPanes:!1,select:!1}};return p}();(function(p){"function"===typeof define&&define.amd?define(["jquery","datatables.net"],function(b){return p(b,window,document)}):"object"===typeof exports?module.exports=function(b,d){b||(b=window);d&&d.fn.dataTable||(d=require("datatables.net")(b,d).$);return p(d,b,b.document)}:p(window.jQuery,window,document)})(function(p,b,d){function c(a,
+e){e=new p.fn.dataTable.StateRestoreCollection(a,e.config);g(a,e)}function g(a,e){var h=a.stateRestore.states(),q=a.button("SaveStateRestore:name");q=void 0!==q[0]&&void 0!==q[0].inst.c.buttons[0].buttons?q[0].inst.c.buttons[0].buttons:[];for(var k=a.settings()[0]._stateRestore.c,v=0;v<q.length;v++)"stateRestore"===q[v].extend&&(q.splice(v,1),v--);k._createInSaved&&q.push("createState");if(void 0===h||0===h.length)q.push('<span class="'+e.classes.emptyStates+'">'+a.i18n("stateRestore.emptyStates",
+e.c.i18n.emptyStates)+"</span>");else for(e=0;e<h.length;e++){v=h[e];var w=Object.assign([],k.splitSecondaries);w.includes("updateState")&&!k.save&&w.splice(w.indexOf("updateState"),1);!w.includes("renameState")||k.save&&k.rename||w.splice(w.indexOf("renameState"),1);w.includes("removeState")&&!k.remove&&w.splice(w.indexOf("removeState"),1);0<w.length&&!w.includes("<h3>"+v.s.identifier+"</h3>")&&w.unshift("<h3>"+v.s.identifier+"</h3>");q.push({_stateRestore:v,attr:{title:v.s.identifier},config:{split:w},
+extend:"stateRestore",text:v.s.identifier})}a.button("SaveStateRestore:name").collectionRebuild(q);q=0;for(k=a.buttons();q<k.length;q++)e=k[q],p(e.node).hasClass("dtsr-removeAllStates")&&(0===h.length?a.button(e.node).disable():a.button(e.node).enable())}l(p);r(p);var m=p.fn.dataTable;p.fn.dataTable.StateRestore=u;p.fn.DataTable.StateRestore=u;p.fn.dataTable.StateRestoreCollection=C;p.fn.DataTable.StateRestoreCollection=C;b=p.fn.dataTable.Api.register;b("stateRestore()",function(){return this});b("stateRestore.state()",
+function(a){var e=this.context[0];if(!e._stateRestore){var h=p.fn.DataTable.Api(e),q=new p.fn.dataTable.StateRestoreCollection(h,{});g(h,q)}this[0]=e._stateRestore.getState(a);return this});b("stateRestore.state.add()",function(a,e){var h=this.context[0];if(!h._stateRestore){var q=p.fn.DataTable.Api(h),k=new p.fn.dataTable.StateRestoreCollection(q,{});g(q,k)}if(!h._stateRestore.c.create)return this;if(h._stateRestore.addState){q=[];k=0;for(var v=h._stateRestore.s.states;k<v.length;k++)q.push(v[k].s.identifier);
+h._stateRestore.addState(a,q,e);return this}});b("stateRestore.states()",function(a){var e=this.context[0];if(!e._stateRestore){var h=p.fn.DataTable.Api(e),q=new p.fn.dataTable.StateRestoreCollection(h,{});g(h,q)}this.length=0;this.push.apply(this,e._stateRestore.getStates(a));return this});b("stateRestore.state().save()",function(){var a=this[0];a.c.save&&a.save();return this});b("stateRestore.state().rename()",function(a){var e=this.context[0],h=this[0];if(h.c.save){var q=[],k=0;for(e=e._stateRestore.s.states;k<
+e.length;k++)q.push(e[k].s.identifier);h.rename(a,q)}return this});b("stateRestore.state().load()",function(){this[0].load();return this});b("stateRestore.state().remove()",function(a){var e=this[0];e.c.remove&&e.remove(a);return this});b("stateRestore.states().remove()",function(a){var e=this,h=function(q){for(var k=!0,v=e.toArray();0<v.length;){var w=v[0];if(void 0!==w&&w.c.remove)w=w.remove(q),!0!==w?k=w:v.splice(0,1);else break}return k};this.context[0]._stateRestore.c.remove&&(a?h(a):this.context[0]._stateRestore.removeAll(h));
+return this});b("stateRestore.activeStates()",function(){var a=this.context[0];this.length=0;if(!a._stateRestore){var e=p.fn.DataTable.Api(a),h=new p.fn.dataTable.StateRestoreCollection(e,{});g(e,h)}a._stateRestore&&this.push.apply(this,a._stateRestore.findActive());return this});p.fn.dataTable.ext.buttons.stateRestore={action:function(a,e,h,q){q._stateRestore.load();h.blur()},config:{split:["updateState","renameState","removeState"]},text:function(a){return a.i18n("buttons.stateRestore","State %d",
+a.stateRestore.states()[0].length+1)}};p.fn.dataTable.ext.buttons.updateState={action:function(a,e,h,q){p("div.dt-button-background").click();q.parent._stateRestore.save()},text:function(a){return a.i18n("buttons.updateState","Update")}};p.fn.dataTable.ext.buttons.savedStates={buttons:[],extend:"collection",init:function(a,e,h){a.on("stateRestore-change",function(){a.button(e).text(a.i18n("buttons.savedStates","Saved States",a.stateRestore.states().length))});void 0===a.settings()[0]._stateRestore&&
+c(a,h)},name:"SaveStateRestore",text:function(a){return a.i18n("buttons.savedStates","Saved States",0)}};p.fn.dataTable.ext.buttons.savedStatesCreate={buttons:[],extend:"collection",init:function(a,e,h){a.on("stateRestore-change",function(){a.button(e).text(a.i18n("buttons.savedStates","Saved States",a.stateRestore.states().length))});void 0===a.settings()[0]._stateRestore&&(void 0===h.config&&(h.config={}),h.config._createInSaved=!0,c(a,h))},name:"SaveStateRestore",text:function(a){return a.i18n("buttons.savedStates",
+"Saved States",0)}};p.fn.dataTable.ext.buttons.createState={action:function(a,e,h,q){a.stopPropagation();a=e.settings()[0]._stateRestore.c;var k=e.settings()[0].oLanguage;if(a.create&&a.save){var v=e.stateRestore.states().toArray();k=void 0!==k.buttons&&void 0!==k.buttons.stateRestore?k.buttons.stateRestore:"State ";if(k.indexOf("%d")===k.length-3)var w=new RegExp(k.replace(/%d/g,""));else{var A=k.split("%d");w=[];for(var B=0;B<A.length;B++)k=A[B],w.push(new RegExp(k))}var E=function(z){if(Array.isArray(w)){var y=
+z;for(var D=0,F=w;D<F.length;D++)y=y.replace(F[D],"")}else y=z.replace(w,"");return isNaN(+y)||y.length===z?0:+y};k=v.map(function(z){return E(z.s.identifier)}).sort(function(z,y){return+z<+y?1:+z>+y?-1:0})[0];e.stateRestore.state.add(e.i18n("buttons.stateRestore","State %d",void 0!==k?k+1:1),q.config);q=e.stateRestore.states().sort(function(z,y){z=+E(z.s.identifier);y=+E(y.s.identifier);return z>y?1:z<y?-1:0});k=e.button("SaveStateRestore:name");v=void 0!==k[0]&&void 0!==k[0].inst.c.buttons[0].buttons?
+k[0].inst.c.buttons[0].buttons:[];for(k=0;k<v.length;k++)"stateRestore"===v[k].extend&&(v.splice(k,1),k--);a._createInSaved&&(v.push("createState"),v.push(""));for(A=0;A<q.length;A++)B=q[A],k=Object.assign([],a.splitSecondaries),k.includes("updateState")&&!a.save&&k.splice(k.indexOf("updateState"),1),!k.includes("renameState")||a.save&&a.rename||k.splice(k.indexOf("renameState"),1),k.includes("removeState")&&!a.remove&&k.splice(k.indexOf("removeState"),1),0<k.length&&!k.includes("<h3>"+B.s.identifier+
+"</h3>")&&k.unshift("<h3>"+B.s.identifier+"</h3>"),v.push({_stateRestore:B,attr:{title:B.s.identifier},config:{split:k},extend:"stateRestore",text:B.s.identifier});e.button("SaveStateRestore:name").collectionRebuild(v);h.blur();h=0;for(a=e.buttons();h<a.length;h++)k=a[h],p(k.node).hasClass("dtsr-removeAllStates")&&(0===q.length?e.button(k.node).disable():e.button(k.node).enable())}},init:function(a,e,h){void 0===a.settings()[0]._stateRestore&&1<a.button("SaveStateRestore:name").length&&c(a,h)},text:function(a){return a.i18n("buttons.createState",
+"Create State")}};p.fn.dataTable.ext.buttons.removeState={action:function(a,e,h,q){q.parent._stateRestore.remove();h.blur()},text:function(a){return a.i18n("buttons.removeState","Remove")}};p.fn.dataTable.ext.buttons.removeAllStates={action:function(a,e,h){e.stateRestore.states().remove(!0);h.blur()},className:"dt-button dtsr-removeAllStates",init:function(a,e){0===a.stateRestore.states().length&&p(e).addClass("disabled")},text:function(a){return a.i18n("buttons.removeAllStates","Remove All States")}};
+p.fn.dataTable.ext.buttons.renameState={action:function(a,e,h,q){a=[];var k=0;for(e=e.settings()[0]._stateRestore.s.states;k<e.length;k++)a.push(e[k].s.identifier);q.parent._stateRestore.rename(void 0,a);h.blur()},text:function(a){return a.i18n("buttons.renameState","Rename")}};p(d).on("preInit.dt.dtsr",function(a,e){"dt"!==a.namespace||!e.oInit.stateRestore&&!m.defaults.stateRestore||e._stateRestore||(a=null,void 0===a&&(a=null),e=new m.Api(e),a=a?a:e.init().stateRestore||m.defaults.stateRestore,
+a=new C(e,a),g(e,a))})})})();
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/StateRestore/js/stateRestore.dataTables.min.js
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/StateRestore/js/stateRestore.dataTables.min.js	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/StateRestore/js/stateRestore.dataTables.min.js	(revision 3761)
@@ -0,0 +1,5 @@
+/*!
+ Bootstrap integration for DataTables' StateRestore
+ Â©2016 SpryMedia Ltd - datatables.net/license
+*/
+(function(c){"function"===typeof define&&define.amd?define(["jquery","datatables.net-dt","datatables.net-staterestore"],function(b){return c(b)}):"object"===typeof exports?module.exports=function(b,a){b||(b=window);a&&a.fn.dataTable||(a=require("datatables.net-dt")(b,a).$);a.fn.dataTable.StateRestore||require("datatables.net-staterestore")(b,a);return c(a)}:c(jQuery)})(function(c){return c.fn.dataTable.stateRestore});
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/Scroller/css/scroller.bootstrap.min.css
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/Scroller/css/scroller.bootstrap.min.css	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/Scroller/css/scroller.bootstrap.min.css	(revision 3761)
@@ -0,0 +1 @@
+div.dts{display:block !important}div.dts tbody th,div.dts tbody td{white-space:nowrap}div.dts div.dts_loading{z-index:1}div.dts div.dts_label{position:absolute;right:10px;background:rgba(0, 0, 0, 0.8);color:white;box-shadow:3px 3px 10px rgba(0, 0, 0, 0.5);text-align:right;border-radius:3px;padding:.4em;z-index:2;display:none}div.dts div.dataTables_scrollBody{background:repeating-linear-gradient(45deg, #edeeff, #edeeff 10px, white 10px, white 20px)}div.dts div.dataTables_scrollBody table{background-color:white;z-index:2}div.dts div.dataTables_paginate,div.dts div.dataTables_length{display:none}div.DTS tbody tr{background-color:white}
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/Scroller/css/scroller.jqueryui.min.css
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/Scroller/css/scroller.jqueryui.min.css	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/Scroller/css/scroller.jqueryui.min.css	(revision 3761)
@@ -0,0 +1 @@
+div.dts{display:block !important}div.dts tbody th,div.dts tbody td{white-space:nowrap}div.dts div.dts_loading{z-index:1}div.dts div.dts_label{position:absolute;right:10px;background:rgba(0, 0, 0, 0.8);color:white;box-shadow:3px 3px 10px rgba(0, 0, 0, 0.5);text-align:right;border-radius:3px;padding:.4em;z-index:2;display:none}div.dts div.dataTables_scrollBody{background:repeating-linear-gradient(45deg, #edeeff, #edeeff 10px, white 10px, white 20px)}div.dts div.dataTables_scrollBody table{background-color:white;z-index:2}div.dts div.dataTables_paginate,div.dts div.dataTables_length{display:none}
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/Scroller/css/scroller.bulma.min.css
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/Scroller/css/scroller.bulma.min.css	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/Scroller/css/scroller.bulma.min.css	(revision 3761)
@@ -0,0 +1 @@
+div.dts{display:block !important}div.dts tbody th,div.dts tbody td{white-space:nowrap}div.dts div.dts_loading{z-index:1}div.dts div.dts_label{position:absolute;right:10px;background:rgba(0, 0, 0, 0.8);color:white;box-shadow:3px 3px 10px rgba(0, 0, 0, 0.5);text-align:right;border-radius:3px;padding:.4em;z-index:2;display:none}div.dts div.dataTables_scrollBody{background:repeating-linear-gradient(45deg, #edeeff, #edeeff 10px, white 10px, white 20px)}div.dts div.dataTables_scrollBody table{background-color:white;z-index:2}div.dts div.dataTables_paginate,div.dts div.dataTables_length{display:none}
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/Scroller/css/scroller.bootstrap4.min.css
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/Scroller/css/scroller.bootstrap4.min.css	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/Scroller/css/scroller.bootstrap4.min.css	(revision 3761)
@@ -0,0 +1 @@
+div.dts{display:block !important}div.dts tbody th,div.dts tbody td{white-space:nowrap}div.dts div.dts_loading{z-index:1}div.dts div.dts_label{position:absolute;right:10px;background:rgba(0, 0, 0, 0.8);color:white;box-shadow:3px 3px 10px rgba(0, 0, 0, 0.5);text-align:right;border-radius:3px;padding:.4em;z-index:2;display:none}div.dts div.dataTables_scrollBody{background:repeating-linear-gradient(45deg, #edeeff, #edeeff 10px, white 10px, white 20px)}div.dts div.dataTables_scrollBody table{background-color:white;z-index:2}div.dts div.dataTables_paginate,div.dts div.dataTables_length{display:none}div.DTS div.dataTables_scrollBody table{background-color:white}
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/Scroller/css/scroller.semanticui.min.css
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/Scroller/css/scroller.semanticui.min.css	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/Scroller/css/scroller.semanticui.min.css	(revision 3761)
@@ -0,0 +1 @@
+div.dts{display:block !important}div.dts tbody th,div.dts tbody td{white-space:nowrap}div.dts div.dts_loading{z-index:1}div.dts div.dts_label{position:absolute;right:10px;background:rgba(0, 0, 0, 0.8);color:white;box-shadow:3px 3px 10px rgba(0, 0, 0, 0.5);text-align:right;border-radius:3px;padding:.4em;z-index:2;display:none}div.dts div.dataTables_scrollBody{background:repeating-linear-gradient(45deg, #edeeff, #edeeff 10px, white 10px, white 20px)}div.dts div.dataTables_scrollBody table{background-color:white;z-index:2}div.dts div.dataTables_paginate,div.dts div.dataTables_length{display:none}
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/Scroller/css/scroller.bootstrap5.min.css
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/Scroller/css/scroller.bootstrap5.min.css	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/Scroller/css/scroller.bootstrap5.min.css	(revision 3761)
@@ -0,0 +1 @@
+div.dts{display:block !important}div.dts tbody th,div.dts tbody td{white-space:nowrap}div.dts div.dts_loading{z-index:1}div.dts div.dts_label{position:absolute;right:10px;background:rgba(0, 0, 0, 0.8);color:white;box-shadow:3px 3px 10px rgba(0, 0, 0, 0.5);text-align:right;border-radius:3px;padding:.4em;z-index:2;display:none}div.dts div.dataTables_scrollBody{background:repeating-linear-gradient(45deg, #edeeff, #edeeff 10px, white 10px, white 20px)}div.dts div.dataTables_scrollBody table{background-color:white;z-index:2}div.dts div.dataTables_paginate,div.dts div.dataTables_length{display:none}div.DTS div.dataTables_scrollBody table{background-color:white}
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/Scroller/css/scroller.dataTables.min.css
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/Scroller/css/scroller.dataTables.min.css	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/Scroller/css/scroller.dataTables.min.css	(revision 3761)
@@ -0,0 +1 @@
+div.dts{display:block !important}div.dts tbody th,div.dts tbody td{white-space:nowrap}div.dts div.dts_loading{z-index:1}div.dts div.dts_label{position:absolute;right:10px;background:rgba(0, 0, 0, 0.8);color:white;box-shadow:3px 3px 10px rgba(0, 0, 0, 0.5);text-align:right;border-radius:3px;padding:.4em;z-index:2;display:none}div.dts div.dataTables_scrollBody{background:repeating-linear-gradient(45deg, #edeeff, #edeeff 10px, white 10px, white 20px)}div.dts div.dataTables_scrollBody table{background-color:white;z-index:2}div.dts div.dataTables_paginate,div.dts div.dataTables_length{display:none}
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/Scroller/css/scroller.foundation.min.css
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/Scroller/css/scroller.foundation.min.css	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/Scroller/css/scroller.foundation.min.css	(revision 3761)
@@ -0,0 +1 @@
+div.DTS tbody th,div.DTS tbody td{white-space:nowrap}div.DTS div.DTS_Loading{z-index:1}div.DTS div.dataTables_scrollBody{background:repeating-linear-gradient(45deg, #edeeff, #edeeff 10px, white 10px, white 20px)}div.DTS div.dataTables_scrollBody table{z-index:2}div.DTS div.dataTables_paginate,div.DTS div.dataTables_length{display:none}
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/Scroller/js/scroller.bootstrap.min.js
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/Scroller/js/scroller.bootstrap.min.js	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/Scroller/js/scroller.bootstrap.min.js	(revision 3761)
@@ -0,0 +1,5 @@
+/*!
+ Bootstrap 3 styling wrapper for Scroller
+ Â©2018 SpryMedia Ltd - datatables.net/license
+*/
+(function(c){"function"===typeof define&&define.amd?define(["jquery","datatables.net-bs","datatables.net-scroller"],function(a){return c(a,window,document)}):"object"===typeof exports?module.exports=function(a,b){a||(a=window);b&&b.fn.dataTable||(b=require("datatables.net-bs")(a,b).$);b.fn.dataTable.Scroller||require("datatables.net-scroller")(a,b);return c(b,a,a.document)}:c(jQuery,window,document)})(function(c,a,b,d){return c.fn.dataTable});
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/Scroller/js/scroller.jqueryui.min.js
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/Scroller/js/scroller.jqueryui.min.js	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/Scroller/js/scroller.jqueryui.min.js	(revision 3761)
@@ -0,0 +1,5 @@
+/*!
+ jQuery UI styling wrapper for Scroller
+ Â©2018 SpryMedia Ltd - datatables.net/license
+*/
+(function(c){"function"===typeof define&&define.amd?define(["jquery","datatables.net-jqui","datatables.net-scroller"],function(a){return c(a,window,document)}):"object"===typeof exports?module.exports=function(a,b){a||(a=window);b&&b.fn.dataTable||(b=require("datatables.net-jqui")(a,b).$);b.fn.dataTable.Scroller||require("datatables.net-scroller")(a,b);return c(b,a,a.document)}:c(jQuery,window,document)})(function(c,a,b,d){return c.fn.dataTable});
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/Scroller/js/scroller.bulma.min.js
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/Scroller/js/scroller.bulma.min.js	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/Scroller/js/scroller.bulma.min.js	(revision 3761)
@@ -0,0 +1,5 @@
+/*!
+ Bulma styling wrapper for Scroller
+ Â©2018 SpryMedia Ltd - datatables.net/license
+*/
+(function(c){"function"===typeof define&&define.amd?define(["jquery","datatables.net-bulma","datatables.net-scroller"],function(a){return c(a,window,document)}):"object"===typeof exports?module.exports=function(a,b){a||(a=window);b&&b.fn.dataTable||(b=require("datatables.net-bulma")(a,b).$);b.fn.dataTable.Scroller||require("datatables.net-scroller")(a,b);return c(b,a,a.document)}:c(jQuery,window,document)})(function(c,a,b,d){return c.fn.dataTable});
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/Scroller/js/scroller.bootstrap4.min.js
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/Scroller/js/scroller.bootstrap4.min.js	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/Scroller/js/scroller.bootstrap4.min.js	(revision 3761)
@@ -0,0 +1,5 @@
+/*!
+ Bootstrap 4 styling wrapper for Scroller
+ Â©2018 SpryMedia Ltd - datatables.net/license
+*/
+(function(c){"function"===typeof define&&define.amd?define(["jquery","datatables.net-bs4","datatables.net-scroller"],function(a){return c(a,window,document)}):"object"===typeof exports?module.exports=function(a,b){a||(a=window);b&&b.fn.dataTable||(b=require("datatables.net-bs4")(a,b).$);b.fn.dataTable.Scroller||require("datatables.net-scroller")(a,b);return c(b,a,a.document)}:c(jQuery,window,document)})(function(c,a,b,d){return c.fn.dataTable});
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/Scroller/js/scroller.semanticui.min.js
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/Scroller/js/scroller.semanticui.min.js	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/Scroller/js/scroller.semanticui.min.js	(revision 3761)
@@ -0,0 +1,5 @@
+/*!
+ Semanic UI styling wrapper for Scroller
+ Â©2018 SpryMedia Ltd - datatables.net/license
+*/
+(function(c){"function"===typeof define&&define.amd?define(["jquery","datatables.net-se","datatables.net-scroller"],function(a){return c(a,window,document)}):"object"===typeof exports?module.exports=function(a,b){a||(a=window);b&&b.fn.dataTable||(b=require("datatables.net-se")(a,b).$);b.fn.dataTable.Scroller||require("datatables.net-scroller")(a,b);return c(b,a,a.document)}:c(jQuery,window,document)})(function(c,a,b,d){return c.fn.dataTable});
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/Scroller/js/scroller.bootstrap5.min.js
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/Scroller/js/scroller.bootstrap5.min.js	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/Scroller/js/scroller.bootstrap5.min.js	(revision 3761)
@@ -0,0 +1,5 @@
+/*!
+ Bootstrap 5 styling wrapper for Scroller
+ Â©2018 SpryMedia Ltd - datatables.net/license
+*/
+(function(c){"function"===typeof define&&define.amd?define(["jquery","datatables.net-bs5","datatables.net-scroller"],function(a){return c(a,window,document)}):"object"===typeof exports?module.exports=function(a,b){a||(a=window);b&&b.fn.dataTable||(b=require("datatables.net-bs5")(a,b).$);b.fn.dataTable.Scroller||require("datatables.net-scroller")(a,b);return c(b,a,a.document)}:c(jQuery,window,document)})(function(c,a,b,d){return c.fn.dataTable});
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/Scroller/js/dataTables.scroller.min.js
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/Scroller/js/dataTables.scroller.min.js	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/Scroller/js/dataTables.scroller.min.js	(revision 3761)
@@ -0,0 +1,45 @@
+/*!
+   SpryMedia Ltd.
+
+ This source file is free software, available under the following license:
+   MIT license - http://datatables.net/license/mit
+
+ This source file is distributed in the hope that it will be useful, but
+ WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY
+ or FITNESS FOR A PARTICULAR PURPOSE. See the license files for details.
+
+ For details please refer to: http://www.datatables.net
+ Scroller 2.0.7
+ Â©2011-2022 SpryMedia Ltd - datatables.net/license
+*/
+var $jscomp=$jscomp||{};$jscomp.scope={};$jscomp.findInternal=function(c,f,g){c instanceof String&&(c=String(c));for(var h=c.length,l=0;l<h;l++){var m=c[l];if(f.call(g,m,l,c))return{i:l,v:m}}return{i:-1,v:void 0}};$jscomp.ASSUME_ES5=!1;$jscomp.ASSUME_NO_NATIVE_MAP=!1;$jscomp.ASSUME_NO_NATIVE_SET=!1;$jscomp.SIMPLE_FROUND_POLYFILL=!1;$jscomp.ISOLATE_POLYFILLS=!1;
+$jscomp.defineProperty=$jscomp.ASSUME_ES5||"function"==typeof Object.defineProperties?Object.defineProperty:function(c,f,g){if(c==Array.prototype||c==Object.prototype)return c;c[f]=g.value;return c};$jscomp.getGlobal=function(c){c=["object"==typeof globalThis&&globalThis,c,"object"==typeof window&&window,"object"==typeof self&&self,"object"==typeof global&&global];for(var f=0;f<c.length;++f){var g=c[f];if(g&&g.Math==Math)return g}throw Error("Cannot find global object");};$jscomp.global=$jscomp.getGlobal(this);
+$jscomp.IS_SYMBOL_NATIVE="function"===typeof Symbol&&"symbol"===typeof Symbol("x");$jscomp.TRUST_ES6_POLYFILLS=!$jscomp.ISOLATE_POLYFILLS||$jscomp.IS_SYMBOL_NATIVE;$jscomp.polyfills={};$jscomp.propertyToPolyfillSymbol={};$jscomp.POLYFILL_PREFIX="$jscp$";var $jscomp$lookupPolyfilledValue=function(c,f){var g=$jscomp.propertyToPolyfillSymbol[f];if(null==g)return c[f];g=c[g];return void 0!==g?g:c[f]};
+$jscomp.polyfill=function(c,f,g,h){f&&($jscomp.ISOLATE_POLYFILLS?$jscomp.polyfillIsolated(c,f,g,h):$jscomp.polyfillUnisolated(c,f,g,h))};$jscomp.polyfillUnisolated=function(c,f,g,h){g=$jscomp.global;c=c.split(".");for(h=0;h<c.length-1;h++){var l=c[h];if(!(l in g))return;g=g[l]}c=c[c.length-1];h=g[c];f=f(h);f!=h&&null!=f&&$jscomp.defineProperty(g,c,{configurable:!0,writable:!0,value:f})};
+$jscomp.polyfillIsolated=function(c,f,g,h){var l=c.split(".");c=1===l.length;h=l[0];h=!c&&h in $jscomp.polyfills?$jscomp.polyfills:$jscomp.global;for(var m=0;m<l.length-1;m++){var q=l[m];if(!(q in h))return;h=h[q]}l=l[l.length-1];g=$jscomp.IS_SYMBOL_NATIVE&&"es6"===g?h[l]:null;f=f(g);null!=f&&(c?$jscomp.defineProperty($jscomp.polyfills,l,{configurable:!0,writable:!0,value:f}):f!==g&&($jscomp.propertyToPolyfillSymbol[l]=$jscomp.IS_SYMBOL_NATIVE?$jscomp.global.Symbol(l):$jscomp.POLYFILL_PREFIX+l,l=
+$jscomp.propertyToPolyfillSymbol[l],$jscomp.defineProperty(h,l,{configurable:!0,writable:!0,value:f})))};$jscomp.polyfill("Array.prototype.find",function(c){return c?c:function(f,g){return $jscomp.findInternal(this,f,g).v}},"es6","es3");
+(function(c){"function"===typeof define&&define.amd?define(["jquery","datatables.net"],function(f){return c(f,window,document)}):"object"===typeof exports?module.exports=function(f,g){f||(f=window);g&&g.fn.dataTable||(g=require("datatables.net")(f,g).$);return c(g,f,f.document)}:c(jQuery,window,document)})(function(c,f,g,h){var l=c.fn.dataTable,m=function(a,b){this instanceof m?(b===h&&(b={}),a=c.fn.dataTable.Api(a),this.s={dt:a.settings()[0],dtApi:a,tableTop:0,tableBottom:0,redrawTop:0,redrawBottom:0,
+autoHeight:!0,viewportRows:0,stateTO:null,stateSaveThrottle:function(){},drawTO:null,heights:{jump:null,page:null,virtual:null,scroll:null,row:null,viewport:null,labelHeight:0,xbar:0},topRowFloat:0,scrollDrawDiff:null,loaderVisible:!1,forceReposition:!1,baseRowTop:0,baseScrollTop:0,mousedown:!1,lastScrollTop:0},this.s=c.extend(this.s,m.oDefaults,b),this.s.heights.row=this.s.rowHeight,this.dom={force:g.createElement("div"),label:c('<div class="dts_label">0</div>'),scroller:null,table:null,loader:null},
+this.s.dt.oScroller||(this.s.dt.oScroller=this,this.construct())):alert("Scroller warning: Scroller must be initialised with the 'new' keyword.")};c.extend(m.prototype,{measure:function(a){this.s.autoHeight&&this._calcRowHeight();var b=this.s.heights;b.row&&(b.viewport=this._parseHeight(c(this.dom.scroller).css("max-height")),this.s.viewportRows=parseInt(b.viewport/b.row,10)+1,this.s.dt._iDisplayLength=this.s.viewportRows*this.s.displayBuffer);var d=this.dom.label.outerHeight();b.xbar=this.dom.scroller.offsetHeight-
+this.dom.scroller.clientHeight;b.labelHeight=d;(a===h||a)&&this.s.dt.oInstance.fnDraw(!1)},pageInfo:function(){var a=this.dom.scroller.scrollTop,b=this.s.dt.fnRecordsDisplay(),d=Math.ceil(this.pixelsToRow(a+this.s.heights.viewport,!1,this.s.ani));return{start:Math.floor(this.pixelsToRow(a,!1,this.s.ani)),end:b<d?b-1:d-1}},pixelsToRow:function(a,b,d){a-=this.s.baseScrollTop;d=d?(this._domain("physicalToVirtual",this.s.baseScrollTop)+a)/this.s.heights.row:a/this.s.heights.row+this.s.baseRowTop;return b||
+b===h?parseInt(d,10):d},rowToPixels:function(a,b,d){a-=this.s.baseRowTop;d=d?this._domain("virtualToPhysical",this.s.baseScrollTop):this.s.baseScrollTop;d+=a*this.s.heights.row;return b||b===h?parseInt(d,10):d},scrollToRow:function(a,b){var d=this,e=!1,k=this.rowToPixels(a),n=a-(this.s.displayBuffer-1)/2*this.s.viewportRows;0>n&&(n=0);(k>this.s.redrawBottom||k<this.s.redrawTop)&&this.s.dt._iDisplayStart!==n&&(e=!0,k=this._domain("virtualToPhysical",a*this.s.heights.row),this.s.redrawTop<k&&k<this.s.redrawBottom&&
+(this.s.forceReposition=!0,b=!1));b===h||b?(this.s.ani=e,c(this.dom.scroller).animate({scrollTop:k},function(){setTimeout(function(){d.s.ani=!1},250)})):c(this.dom.scroller).scrollTop(k)},construct:function(){var a=this,b=this.s.dtApi;if(this.s.dt.oFeatures.bPaginate){this.dom.force.style.position="relative";this.dom.force.style.top="0px";this.dom.force.style.left="0px";this.dom.force.style.width="1px";this.dom.scroller=c("div."+this.s.dt.oClasses.sScrollBody,this.s.dt.nTableWrapper)[0];this.dom.scroller.appendChild(this.dom.force);
+this.dom.scroller.style.position="relative";this.dom.table=c(">table",this.dom.scroller)[0];this.dom.table.style.position="absolute";this.dom.table.style.top="0px";this.dom.table.style.left="0px";c(b.table().container()).addClass("dts DTS");this.s.loadingIndicator&&(this.dom.loader=c('<div class="dataTables_processing dts_loading">'+this.s.dt.oLanguage.sLoadingRecords+"</div>").css("display","none"),c(this.dom.scroller.parentNode).css("position","relative").append(this.dom.loader));this.dom.label.appendTo(this.dom.scroller);
+this.s.heights.row&&"auto"!=this.s.heights.row&&(this.s.autoHeight=!1);this.s.ingnoreScroll=!0;c(this.dom.scroller).on("scroll.dt-scroller",function(k){a._scroll.call(a)});c(this.dom.scroller).on("touchstart.dt-scroller",function(){a._scroll.call(a)});c(this.dom.scroller).on("mousedown.dt-scroller",function(){a.s.mousedown=!0}).on("mouseup.dt-scroller",function(){a.s.labelVisible=!1;a.s.mousedown=!1;a.dom.label.css("display","none")});c(f).on("resize.dt-scroller",function(){a.measure(!1);a._info()});
+var d=!0,e=b.state.loaded();b.on("stateSaveParams.scroller",function(k,n,p){d&&e?(p.scroller=e.scroller,d=!1,p.scroller&&(a.s.lastScrollTop=p.scroller.scrollTop)):p.scroller={topRow:a.s.topRowFloat,baseScrollTop:a.s.baseScrollTop,baseRowTop:a.s.baseRowTop,scrollTop:a.s.lastScrollTop}});b.on("stateLoadParams.scroller",function(k,n,p){p.scroller!==h&&a.scrollToRow(p.scroller.topRow)});e&&e.scroller&&(this.s.topRowFloat=e.scroller.topRow,this.s.baseScrollTop=e.scroller.baseScrollTop,this.s.baseRowTop=
+e.scroller.baseRowTop);this.measure(!1);a.s.stateSaveThrottle=a.s.dt.oApi._fnThrottle(function(){a.s.dtApi.state.save()},500);b.on("init.scroller",function(){a.measure(!1);a.s.scrollType="jump";a._draw();b.on("draw.scroller",function(){a._draw()})});b.on("preDraw.dt.scroller",function(){a._scrollForce()});b.on("destroy.scroller",function(){c(f).off("resize.dt-scroller");c(a.dom.scroller).off(".dt-scroller");c(a.s.dt.nTable).off(".scroller");c(a.s.dt.nTableWrapper).removeClass("DTS");c("div.DTS_Loading",
+a.dom.scroller.parentNode).remove();a.dom.table.style.position="";a.dom.table.style.top="";a.dom.table.style.left=""})}else this.s.dt.oApi._fnLog(this.s.dt,0,"Pagination must be enabled for Scroller")},_calcRowHeight:function(){var a=this.s.dt,b=a.nTable,d=b.cloneNode(!1),e=c("<tbody/>").appendTo(d),k=c('<div class="'+a.oClasses.sWrapper+' DTS"><div class="'+a.oClasses.sScrollWrapper+'"><div class="'+a.oClasses.sScrollBody+'"></div></div></div>');c("tbody tr:lt(4)",b).clone().appendTo(e);var n=c("tr",
+e).length;if(1===n)e.prepend("<tr><td>&#160;</td></tr>"),e.append("<tr><td>&#160;</td></tr>");else for(;3>n;n++)e.append("<tr><td>&#160;</td></tr>");c("div."+a.oClasses.sScrollBody,k).append(d);a=this.s.dt.nHolding||b.parentNode;c(a).is(":visible")||(a="body");k.find("input").removeAttr("name");k.appendTo(a);this.s.heights.row=c("tr",e).eq(1).outerHeight();k.remove()},_draw:function(){var a=this,b=this.s.heights,d=this.dom.scroller.scrollTop,e=c(this.s.dt.nTable).height(),k=this.s.dt._iDisplayStart,
+n=this.s.dt._iDisplayLength,p=this.s.dt.fnRecordsDisplay();this.s.skip=!0;!this.s.dt.bSorted&&!this.s.dt.bFiltered||0!==k||this.s.dt._drawHold||(this.s.topRowFloat=0);d="jump"===this.s.scrollType?this._domain("virtualToPhysical",this.s.topRowFloat*b.row):d;this.s.baseScrollTop=d;this.s.baseRowTop=this.s.topRowFloat;var r=d-(this.s.topRowFloat-k)*b.row;0===k?r=0:k+n>=p&&(r=b.scroll-e);this.dom.table.style.top=r+"px";this.s.tableTop=r;this.s.tableBottom=e+this.s.tableTop;e=(d-this.s.tableTop)*this.s.boundaryScale;
+this.s.redrawTop=d-e;this.s.redrawBottom=d+e>b.scroll-b.viewport-b.row?b.scroll-b.viewport-b.row:d+e;this.s.skip=!1;a.s.ingnoreScroll&&(this.s.dt.oFeatures.bStateSave&&null!==this.s.dt.oLoadedState&&"undefined"!=typeof this.s.dt.oLoadedState.scroller?((b=!this.s.dt.sAjaxSource&&!a.s.dt.ajax||this.s.dt.oFeatures.bServerSide?!1:!0)&&2<=this.s.dt.iDraw||!b&&1<=this.s.dt.iDraw)&&setTimeout(function(){c(a.dom.scroller).scrollTop(a.s.dt.oLoadedState.scroller.scrollTop);setTimeout(function(){a.s.ingnoreScroll=
+!1},0)},0):a.s.ingnoreScroll=!1);this.s.dt.oFeatures.bInfo&&setTimeout(function(){a._info.call(a)},0);c(this.s.dt.nTable).triggerHandler("position.dts.dt",r);this.dom.loader&&this.s.loaderVisible&&(this.dom.loader.css("display","none"),this.s.loaderVisible=!1)},_domain:function(a,b){var d=this.s.heights;if(d.virtual===d.scroll||1E4>b)return b;if("virtualToPhysical"===a&&b>=d.virtual-1E4)return a=d.virtual-b,d.scroll-a;if("physicalToVirtual"===a&&b>=d.scroll-1E4)return a=d.scroll-b,d.virtual-a;d=(d.virtual-
+1E4-1E4)/(d.scroll-1E4-1E4);var e=1E4-1E4*d;return"virtualToPhysical"===a?(b-e)/d:d*b+e},_info:function(){if(this.s.dt.oFeatures.bInfo){var a=this.s.dt,b=a.oLanguage,d=this.dom.scroller.scrollTop,e=Math.floor(this.pixelsToRow(d,!1,this.s.ani)+1),k=a.fnRecordsTotal(),n=a.fnRecordsDisplay();d=Math.ceil(this.pixelsToRow(d+this.s.heights.viewport,!1,this.s.ani));d=n<d?n:d;var p=a.fnFormatNumber(e),r=a.fnFormatNumber(d),t=a.fnFormatNumber(k),u=a.fnFormatNumber(n);p=0===a.fnRecordsDisplay()&&a.fnRecordsDisplay()==
+a.fnRecordsTotal()?b.sInfoEmpty+b.sInfoPostFix:0===a.fnRecordsDisplay()?b.sInfoEmpty+" "+b.sInfoFiltered.replace("_MAX_",t)+b.sInfoPostFix:a.fnRecordsDisplay()==a.fnRecordsTotal()?b.sInfo.replace("_START_",p).replace("_END_",r).replace("_MAX_",t).replace("_TOTAL_",u)+b.sInfoPostFix:b.sInfo.replace("_START_",p).replace("_END_",r).replace("_MAX_",t).replace("_TOTAL_",u)+" "+b.sInfoFiltered.replace("_MAX_",a.fnFormatNumber(a.fnRecordsTotal()))+b.sInfoPostFix;(b=b.fnInfoCallback)&&(p=b.call(a.oInstance,
+a,e,d,k,n,p));e=a.aanFeatures.i;if("undefined"!=typeof e)for(k=0,n=e.length;k<n;k++)c(e[k]).html(p);c(a.nTable).triggerHandler("info.dt")}},_parseHeight:function(a){var b,d=/^([+-]?(?:\d+(?:\.\d+)?|\.\d+))(px|em|rem|vh)$/.exec(a);if(null===d)return 0;a=parseFloat(d[1]);d=d[2];"px"===d?b=a:"vh"===d?b=a/100*c(f).height():"rem"===d?b=a*parseFloat(c(":root").css("font-size")):"em"===d&&(b=a*parseFloat(c("body").css("font-size")));return b?b:0},_scroll:function(){var a=this,b=this.s.heights,d=this.dom.scroller.scrollTop;
+if(!this.s.skip&&!this.s.ingnoreScroll&&d!==this.s.lastScrollTop)if(this.s.dt.bFiltered||this.s.dt.bSorted)this.s.lastScrollTop=0;else{this._info();clearTimeout(this.s.stateTO);this.s.stateTO=setTimeout(function(){a.s.dtApi.state.save()},250);this.s.scrollType=Math.abs(d-this.s.lastScrollTop)>b.viewport?"jump":"cont";this.s.topRowFloat="cont"===this.s.scrollType?this.pixelsToRow(d,!1,!1):this._domain("physicalToVirtual",d)/b.row;0>this.s.topRowFloat&&(this.s.topRowFloat=0);if(this.s.forceReposition||
+d<this.s.redrawTop||d>this.s.redrawBottom){var e=Math.ceil((this.s.displayBuffer-1)/2*this.s.viewportRows);e=parseInt(this.s.topRowFloat,10)-e;this.s.forceReposition=!1;0>=e?e=0:e+this.s.dt._iDisplayLength>this.s.dt.fnRecordsDisplay()?(e=this.s.dt.fnRecordsDisplay()-this.s.dt._iDisplayLength,0>e&&(e=0)):0!==e%2&&e++;this.s.targetTop=e;e!=this.s.dt._iDisplayStart&&(this.s.tableTop=c(this.s.dt.nTable).offset().top,this.s.tableBottom=c(this.s.dt.nTable).height()+this.s.tableTop,e=function(){a.s.dt._iDisplayStart=
+a.s.targetTop;a.s.dt.oApi._fnDraw(a.s.dt)},this.s.dt.oFeatures.bServerSide?(this.s.forceReposition=!0,clearTimeout(this.s.drawTO),this.s.drawTO=setTimeout(e,this.s.serverWait)):e(),this.dom.loader&&!this.s.loaderVisible&&(this.dom.loader.css("display","block"),this.s.loaderVisible=!0))}else this.s.topRowFloat=this.pixelsToRow(d,!1,!0);this.s.lastScrollTop=d;this.s.stateSaveThrottle();"jump"===this.s.scrollType&&this.s.mousedown&&(this.s.labelVisible=!0);this.s.labelVisible&&(b=(b.viewport-b.labelHeight-
+b.xbar)/b.scroll,this.dom.label.html(this.s.dt.fnFormatNumber(parseInt(this.s.topRowFloat,10)+1)).css("top",d+d*b).css("right",10-this.dom.scroller.scrollLeft).css("display","block"))}},_scrollForce:function(){var a=this.s.heights;a.virtual=a.row*this.s.dt.fnRecordsDisplay();a.scroll=a.virtual;1E6<a.scroll&&(a.scroll=1E6);this.dom.force.style.height=a.scroll>this.s.heights.row?a.scroll+"px":this.s.heights.row+"px"}});m.defaults={boundaryScale:.5,displayBuffer:9,loadingIndicator:!1,rowHeight:"auto",
+serverWait:200};m.oDefaults=m.defaults;m.version="2.0.7";c(g).on("preInit.dt.dtscroller",function(a,b){if("dt"===a.namespace){a=b.oInit.scroller;var d=l.defaults.scroller;if(a||d)d=c.extend({},a,d),!1!==a&&new m(b,d)}});c.fn.dataTable.Scroller=m;c.fn.DataTable.Scroller=m;var q=c.fn.dataTable.Api;q.register("scroller()",function(){return this});q.register("scroller().rowToPixels()",function(a,b,d){var e=this.context;if(e.length&&e[0].oScroller)return e[0].oScroller.rowToPixels(a,b,d)});q.register("scroller().pixelsToRow()",
+function(a,b,d){var e=this.context;if(e.length&&e[0].oScroller)return e[0].oScroller.pixelsToRow(a,b,d)});q.register(["scroller().scrollToRow()","scroller.toPosition()"],function(a,b){this.iterator("table",function(d){d.oScroller&&d.oScroller.scrollToRow(a,b)});return this});q.register("row().scrollTo()",function(a){var b=this;this.iterator("row",function(d,e){d.oScroller&&(e=b.rows({order:"applied",search:"applied"}).indexes().indexOf(e),d.oScroller.scrollToRow(e,a))});return this});q.register("scroller.measure()",
+function(a){this.iterator("table",function(b){b.oScroller&&b.oScroller.measure(a)});return this});q.register("scroller.page()",function(){var a=this.context;if(a.length&&a[0].oScroller)return a[0].oScroller.pageInfo()});return m});
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/Scroller/js/scroller.dataTables.min.js
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/Scroller/js/scroller.dataTables.min.js	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/Scroller/js/scroller.dataTables.min.js	(revision 3761)
@@ -0,0 +1,5 @@
+/*!
+ DataTables styling wrapper for Scroller
+ Â©2018 SpryMedia Ltd - datatables.net/license
+*/
+(function(c){"function"===typeof define&&define.amd?define(["jquery","datatables.net-dt","datatables.net-scroller"],function(a){return c(a,window,document)}):"object"===typeof exports?module.exports=function(a,b){a||(a=window);b&&b.fn.dataTable||(b=require("datatables.net-dt")(a,b).$);b.fn.dataTable.Scroller||require("datatables.net-scroller")(a,b);return c(b,a,a.document)}:c(jQuery,window,document)})(function(c,a,b,d){return c.fn.dataTable});
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/Scroller/js/scroller.foundation.min.js
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/Scroller/js/scroller.foundation.min.js	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/Scroller/js/scroller.foundation.min.js	(revision 3761)
@@ -0,0 +1,5 @@
+/*!
+ Foundation styling wrapper for Scroller
+ Â©2018 SpryMedia Ltd - datatables.net/license
+*/
+(function(c){"function"===typeof define&&define.amd?define(["jquery","datatables.net-zf","datatables.net-scroller"],function(a){return c(a,window,document)}):"object"===typeof exports?module.exports=function(a,b){a||(a=window);b&&b.fn.dataTable||(b=require("datatables.net-zf")(a,b).$);b.fn.dataTable.Scroller||require("datatables.net-scroller")(a,b);return c(b,a,a.document)}:c(jQuery,window,document)})(function(c,a,b,d){return c.fn.dataTable});
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/FixedHeader/css/fixedHeader.bootstrap.min.css
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/FixedHeader/css/fixedHeader.bootstrap.min.css	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/FixedHeader/css/fixedHeader.bootstrap.min.css	(revision 3761)
@@ -0,0 +1 @@
+table.dataTable.fixedHeader-floating,table.dataTable.fixedHeader-locked{background-color:white;margin-top:0 !important;margin-bottom:0 !important}table.dataTable.fixedHeader-locked{position:absolute !important}@media print{table.fixedHeader-floating{display:none}}
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/FixedHeader/css/fixedHeader.jqueryui.min.css
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/FixedHeader/css/fixedHeader.jqueryui.min.css	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/FixedHeader/css/fixedHeader.jqueryui.min.css	(revision 3761)
@@ -0,0 +1 @@
+table.fixedHeader-floating{background-color:white}table.fixedHeader-locked{position:absolute !important;background-color:white}@media print{table.fixedHeader-floating{display:none}}
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/FixedHeader/css/fixedHeader.bulma.min.css
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/FixedHeader/css/fixedHeader.bulma.min.css	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/FixedHeader/css/fixedHeader.bulma.min.css	(revision 3761)
@@ -0,0 +1 @@
+table.dataTable.fixedHeader-floating,table.dataTable.fixedHeader-locked{background-color:white;margin-top:0 !important;margin-bottom:0 !important}table.dataTable.fixedHeader-locked{position:absolute !important}@media print{table.fixedHeader-floating{display:none}}
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/FixedHeader/css/fixedHeader.bootstrap4.min.css
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/FixedHeader/css/fixedHeader.bootstrap4.min.css	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/FixedHeader/css/fixedHeader.bootstrap4.min.css	(revision 3761)
@@ -0,0 +1 @@
+table.dataTable.fixedHeader-floating,table.dataTable.fixedHeader-locked{background-color:white;margin-top:0 !important;margin-bottom:0 !important}table.dataTable.fixedHeader-locked{position:absolute !important}@media print{table.fixedHeader-floating{display:none}}
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/FixedHeader/css/fixedHeader.semanticui.min.css
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/FixedHeader/css/fixedHeader.semanticui.min.css	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/FixedHeader/css/fixedHeader.semanticui.min.css	(revision 3761)
@@ -0,0 +1 @@
+table.fixedHeader-floating{border-bottom-width:0 !important}table.fixedHeader-locked{position:absolute !important}@media print{table.fixedHeader-floating{display:none}}
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/FixedHeader/css/fixedHeader.bootstrap5.min.css
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/FixedHeader/css/fixedHeader.bootstrap5.min.css	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/FixedHeader/css/fixedHeader.bootstrap5.min.css	(revision 3761)
@@ -0,0 +1 @@
+table.dataTable.fixedHeader-floating,table.dataTable.fixedHeader-locked{background-color:white;margin-top:0 !important;margin-bottom:0 !important}table.dataTable.fixedHeader-locked{position:absolute !important}@media print{table.fixedHeader-floating{display:none}}
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/FixedHeader/css/fixedHeader.dataTables.min.css
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/FixedHeader/css/fixedHeader.dataTables.min.css	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/FixedHeader/css/fixedHeader.dataTables.min.css	(revision 3761)
@@ -0,0 +1 @@
+table.fixedHeader-floating{background-color:white}table.fixedHeader-floating.no-footer{border-bottom-width:0}table.fixedHeader-locked{position:absolute !important;background-color:white}@media print{table.fixedHeader-floating{display:none}}
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/FixedHeader/css/fixedHeader.foundation.min.css
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/FixedHeader/css/fixedHeader.foundation.min.css	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/FixedHeader/css/fixedHeader.foundation.min.css	(revision 3761)
@@ -0,0 +1 @@
+table.dataTable.fixedHeader-floating,table.dataTable.fixedHeader-locked{background-color:white;margin-top:0 !important;margin-bottom:0 !important}table.dataTable.fixedHeader-locked{position:absolute !important}@media print{table.fixedHeader-floating{display:none}}
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/FixedHeader/js/fixedHeader.bulma.min.js
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/FixedHeader/js/fixedHeader.bulma.min.js	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/FixedHeader/js/fixedHeader.bulma.min.js	(revision 3761)
@@ -0,0 +1,5 @@
+/*!
+ Bulma styling wrapper for FixedHeader
+ Â©2018 SpryMedia Ltd - datatables.net/license
+*/
+(function(c){"function"===typeof define&&define.amd?define(["jquery","datatables.net-bm","datatables.net-fixedheader"],function(a){return c(a,window,document)}):"object"===typeof exports?module.exports=function(a,b){a||(a=window);b&&b.fn.dataTable||(b=require("datatables.net-bm")(a,b).$);b.fn.dataTable.FixedHeader||require("datatables.net-fixedheader")(a,b);return c(b,a,a.document)}:c(jQuery,window,document)})(function(c,a,b,d){return c.fn.dataTable});
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/FixedHeader/js/fixedHeader.bootstrap4.min.js
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/FixedHeader/js/fixedHeader.bootstrap4.min.js	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/FixedHeader/js/fixedHeader.bootstrap4.min.js	(revision 3761)
@@ -0,0 +1,5 @@
+/*!
+ Bootstrap 4 styling wrapper for FixedHeader
+ Â©2018 SpryMedia Ltd - datatables.net/license
+*/
+(function(c){"function"===typeof define&&define.amd?define(["jquery","datatables.net-bs4","datatables.net-fixedheader"],function(a){return c(a,window,document)}):"object"===typeof exports?module.exports=function(a,b){a||(a=window);b&&b.fn.dataTable||(b=require("datatables.net-bs4")(a,b).$);b.fn.dataTable.FixedHeader||require("datatables.net-fixedheader")(a,b);return c(b,a,a.document)}:c(jQuery,window,document)})(function(c,a,b,d){return c.fn.dataTable});
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/FixedHeader/js/fixedHeader.semanticui.min.js
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/FixedHeader/js/fixedHeader.semanticui.min.js	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/FixedHeader/js/fixedHeader.semanticui.min.js	(revision 3761)
@@ -0,0 +1,5 @@
+/*!
+ Semanic UI styling wrapper for FixedHeader
+ Â©2018 SpryMedia Ltd - datatables.net/license
+*/
+(function(c){"function"===typeof define&&define.amd?define(["jquery","datatables.net-se","datatables.net-fixedheader"],function(a){return c(a,window,document)}):"object"===typeof exports?module.exports=function(a,b){a||(a=window);b&&b.fn.dataTable||(b=require("datatables.net-se")(a,b).$);b.fn.dataTable.FixedHeader||require("datatables.net-fixedheader")(a,b);return c(b,a,a.document)}:c(jQuery,window,document)})(function(c,a,b,d){return c.fn.dataTable});
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/FixedHeader/js/fixedHeader.bootstrap5.min.js
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/FixedHeader/js/fixedHeader.bootstrap5.min.js	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/FixedHeader/js/fixedHeader.bootstrap5.min.js	(revision 3761)
@@ -0,0 +1,5 @@
+/*!
+ Bootstrap 5 styling wrapper for FixedHeader
+ Â©2018 SpryMedia Ltd - datatables.net/license
+*/
+(function(c){"function"===typeof define&&define.amd?define(["jquery","datatables.net-bs5","datatables.net-fixedheader"],function(a){return c(a,window,document)}):"object"===typeof exports?module.exports=function(a,b){a||(a=window);b&&b.fn.dataTable||(b=require("datatables.net-bs5")(a,b).$);b.fn.dataTable.FixedHeader||require("datatables.net-fixedheader")(a,b);return c(b,a,a.document)}:c(jQuery,window,document)})(function(c,a,b,d){return c.fn.dataTable});
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/FixedHeader/js/dataTables.fixedHeader.min.js
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/FixedHeader/js/dataTables.fixedHeader.min.js	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/FixedHeader/js/dataTables.fixedHeader.min.js	(revision 3761)
@@ -0,0 +1,43 @@
+/*!
+   SpryMedia Ltd.
+
+ This source file is free software, available under the following license:
+   MIT license - http://datatables.net/license/mit
+
+ This source file is distributed in the hope that it will be useful, but
+ WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY
+ or FITNESS FOR A PARTICULAR PURPOSE. See the license files for details.
+
+ For details please refer to: http://www.datatables.net
+ FixedHeader 3.2.4
+ Â©2009-2022 SpryMedia Ltd - datatables.net/license
+*/
+var $jscomp=$jscomp||{};$jscomp.scope={};$jscomp.findInternal=function(b,h,g){b instanceof String&&(b=String(b));for(var l=b.length,k=0;k<l;k++){var w=b[k];if(h.call(g,w,k,b))return{i:k,v:w}}return{i:-1,v:void 0}};$jscomp.ASSUME_ES5=!1;$jscomp.ASSUME_NO_NATIVE_MAP=!1;$jscomp.ASSUME_NO_NATIVE_SET=!1;$jscomp.SIMPLE_FROUND_POLYFILL=!1;$jscomp.ISOLATE_POLYFILLS=!1;
+$jscomp.defineProperty=$jscomp.ASSUME_ES5||"function"==typeof Object.defineProperties?Object.defineProperty:function(b,h,g){if(b==Array.prototype||b==Object.prototype)return b;b[h]=g.value;return b};$jscomp.getGlobal=function(b){b=["object"==typeof globalThis&&globalThis,b,"object"==typeof window&&window,"object"==typeof self&&self,"object"==typeof global&&global];for(var h=0;h<b.length;++h){var g=b[h];if(g&&g.Math==Math)return g}throw Error("Cannot find global object");};$jscomp.global=$jscomp.getGlobal(this);
+$jscomp.IS_SYMBOL_NATIVE="function"===typeof Symbol&&"symbol"===typeof Symbol("x");$jscomp.TRUST_ES6_POLYFILLS=!$jscomp.ISOLATE_POLYFILLS||$jscomp.IS_SYMBOL_NATIVE;$jscomp.polyfills={};$jscomp.propertyToPolyfillSymbol={};$jscomp.POLYFILL_PREFIX="$jscp$";var $jscomp$lookupPolyfilledValue=function(b,h){var g=$jscomp.propertyToPolyfillSymbol[h];if(null==g)return b[h];g=b[g];return void 0!==g?g:b[h]};
+$jscomp.polyfill=function(b,h,g,l){h&&($jscomp.ISOLATE_POLYFILLS?$jscomp.polyfillIsolated(b,h,g,l):$jscomp.polyfillUnisolated(b,h,g,l))};$jscomp.polyfillUnisolated=function(b,h,g,l){g=$jscomp.global;b=b.split(".");for(l=0;l<b.length-1;l++){var k=b[l];if(!(k in g))return;g=g[k]}b=b[b.length-1];l=g[b];h=h(l);h!=l&&null!=h&&$jscomp.defineProperty(g,b,{configurable:!0,writable:!0,value:h})};
+$jscomp.polyfillIsolated=function(b,h,g,l){var k=b.split(".");b=1===k.length;l=k[0];l=!b&&l in $jscomp.polyfills?$jscomp.polyfills:$jscomp.global;for(var w=0;w<k.length-1;w++){var t=k[w];if(!(t in l))return;l=l[t]}k=k[k.length-1];g=$jscomp.IS_SYMBOL_NATIVE&&"es6"===g?l[k]:null;h=h(g);null!=h&&(b?$jscomp.defineProperty($jscomp.polyfills,k,{configurable:!0,writable:!0,value:h}):h!==g&&($jscomp.propertyToPolyfillSymbol[k]=$jscomp.IS_SYMBOL_NATIVE?$jscomp.global.Symbol(k):$jscomp.POLYFILL_PREFIX+k,k=
+$jscomp.propertyToPolyfillSymbol[k],$jscomp.defineProperty(l,k,{configurable:!0,writable:!0,value:h})))};$jscomp.polyfill("Array.prototype.find",function(b){return b?b:function(h,g){return $jscomp.findInternal(this,h,g).v}},"es6","es3");
+(function(b){"function"===typeof define&&define.amd?define(["jquery","datatables.net"],function(h){return b(h,window,document)}):"object"===typeof exports?module.exports=function(h,g){h||(h=window);g&&g.fn.dataTable||(g=require("datatables.net")(h,g).$);return b(g,h,h.document)}:b(jQuery,window,document)})(function(b,h,g,l){var k=b.fn.dataTable,w=0,t=function(a,d){if(!(this instanceof t))throw"FixedHeader must be initialised with the 'new' keyword.";!0===d&&(d={});a=new k.Api(a);this.c=b.extend(!0,
+{},t.defaults,d);this.s={dt:a,position:{theadTop:0,tbodyTop:0,tfootTop:0,tfootBottom:0,width:0,left:0,tfootHeight:0,theadHeight:0,windowHeight:b(h).height(),visible:!0},headerMode:null,footerMode:null,autoWidth:a.settings()[0].oFeatures.bAutoWidth,namespace:".dtfc"+w++,scrollLeft:{header:-1,footer:-1},enable:!0};this.dom={floatingHeader:null,thead:b(a.table().header()),tbody:b(a.table().body()),tfoot:b(a.table().footer()),header:{host:null,floating:null,floatingParent:b('<div class="dtfh-floatingparent">'),
+placeholder:null},footer:{host:null,floating:null,floatingParent:b('<div class="dtfh-floatingparent">'),placeholder:null}};this.dom.header.host=this.dom.thead.parent();this.dom.footer.host=this.dom.tfoot.parent();a=a.settings()[0];if(a._fixedHeader)throw"FixedHeader already initialised on table "+a.nTable.id;a._fixedHeader=this;this._constructor()};b.extend(t.prototype,{destroy:function(){var a=this.dom;this.s.dt.off(".dtfc");b(h).off(this.s.namespace);a.header.rightBlocker&&a.header.rightBlocker.remove();
+a.header.leftBlocker&&a.header.leftBlocker.remove();a.footer.rightBlocker&&a.footer.rightBlocker.remove();a.footer.leftBlocker&&a.footer.leftBlocker.remove();this.c.header&&this._modeChange("in-place","header",!0);this.c.footer&&a.tfoot.length&&this._modeChange("in-place","footer",!0)},enable:function(a,d){this.s.enable=a;if(d||d===l)this._positions(),this._scroll(!0)},enabled:function(){return this.s.enable},headerOffset:function(a){a!==l&&(this.c.headerOffset=a,this.update());return this.c.headerOffset},
+footerOffset:function(a){a!==l&&(this.c.footerOffset=a,this.update());return this.c.footerOffset},update:function(a){if(this.s.enable){var d=this.s.dt.table().node();b(d).is(":visible")?this.enable(!0,!1):this.enable(!1,!1);0!==b(d).children("thead").length&&(this._positions(),this._scroll(a!==l?a:!0))}},_constructor:function(){var a=this,d=this.s.dt;b(h).on("scroll"+this.s.namespace,function(){a._scroll()}).on("resize"+this.s.namespace,k.util.throttle(function(){a.s.position.windowHeight=b(h).height();
+a.update()},50));var c=b(".fh-fixedHeader");!this.c.headerOffset&&c.length&&(this.c.headerOffset=c.outerHeight());c=b(".fh-fixedFooter");!this.c.footerOffset&&c.length&&(this.c.footerOffset=c.outerHeight());d.on("column-reorder.dt.dtfc column-visibility.dt.dtfc column-sizing.dt.dtfc responsive-display.dt.dtfc",function(f,e){a.update()}).on("draw.dt.dtfc",function(f,e){a.update(e===d.settings()[0]?!1:!0)});d.on("destroy.dtfc",function(){a.destroy()});this._positions();this._scroll()},_clone:function(a,
+d){var c=this,f=this.s.dt,e=this.dom[a],n="header"===a?this.dom.thead:this.dom.tfoot;if("footer"!==a||!this._scrollEnabled())if(!d&&e.floating)e.floating.removeClass("fixedHeader-floating fixedHeader-locked");else{d=b(g).scrollLeft();var q=b(g).scrollTop();e.floating&&(null!==e.placeholder&&e.placeholder.remove(),this._unsize(a),e.floating.children().detach(),e.floating.remove());var p=b(f.table().node()),r=b(p.parent()),m=this._scrollEnabled();e.floating=b(f.table().node().cloneNode(!1)).attr("aria-hidden",
+"true").css({"table-layout":"fixed",top:0,left:0}).removeAttr("id").append(n);e.floatingParent.css({width:r.width(),overflow:"hidden",height:"fit-content",position:"fixed",left:m?p.offset().left+r.scrollLeft():0}).css("header"===a?{top:this.c.headerOffset,bottom:""}:{top:"",bottom:this.c.footerOffset}).addClass("footer"===a?"dtfh-floatingparentfoot":"dtfh-floatingparenthead").append(e.floating).appendTo("body");this._stickyPosition(e.floating,"-");a=function(){var u=r.scrollLeft();c.s.scrollLeft=
+{footer:u,header:u};e.floatingParent.scrollLeft(c.s.scrollLeft.header)};a();r.off("scroll.dtfh").on("scroll.dtfh",a);e.placeholder=n.clone(!1);e.placeholder.find("*[id]").removeAttr("id");e.host.prepend(e.placeholder);this._matchWidths(e.placeholder,e.floating);b(g).scrollTop(q).scrollLeft(d)}},_stickyPosition:function(a,d){if(this._scrollEnabled()){var c=this,f="rtl"===b(c.s.dt.table().node()).css("direction");a.find("th").each(function(){if("sticky"===b(this).css("position")){var e=b(this).css("right"),
+n=b(this).css("left");"auto"===e||f?"auto"!==n&&f&&(e=+n.replace(/px/g,"")+("-"===d?-1:1)*c.s.dt.settings()[0].oBrowser.barWidth,b(this).css("left",0<e?e:0)):(e=+e.replace(/px/g,"")+("-"===d?-1:1)*c.s.dt.settings()[0].oBrowser.barWidth,b(this).css("right",0<e?e:0))}})}},_matchWidths:function(a,d){var c=function(n){return b(n,a).map(function(){return 1*b(this).css("width").replace(/[^\d\.]/g,"")}).toArray()},f=function(n,q){b(n,d).each(function(p){b(this).css({width:q[p],minWidth:q[p]})})},e=c("th");
+c=c("td");f("th",e);f("td",c)},_unsize:function(a){var d=this.dom[a].floating;d&&("footer"===a||"header"===a&&!this.s.autoWidth)?b("th, td",d).css({width:"",minWidth:""}):d&&"header"===a&&b("th, td",d).css("min-width","")},_horizontal:function(a,d){var c=this.dom[a],f=this.s.scrollLeft;if(c.floating&&f[a]!==d){if(this._scrollEnabled()){var e=b(b(this.s.dt.table().node()).parent()).scrollLeft();c.floating.scrollLeft(e);c.floatingParent.scrollLeft(e)}f[a]=d}},_modeChange:function(a,d,c){var f=this.dom[d],
+e=this.s.position,n=this._scrollEnabled();if("footer"!==d||!n){var q=function(B){f.floating.attr("style",function(x,y){return(y||"")+"width: "+B+"px !important;"});n||f.floatingParent.attr("style",function(x,y){return(y||"")+"width: "+B+"px !important;"})},p=this.dom["footer"===d?"tfoot":"thead"],r=b.contains(p[0],g.activeElement)?g.activeElement:null,m=b(b(this.s.dt.table().node()).parent());if("in-place"===a)f.placeholder&&(f.placeholder.remove(),f.placeholder=null),this._unsize(d),"header"===d?
+f.host.prepend(p):f.host.append(p),f.floating&&(f.floating.remove(),f.floating=null,this._stickyPosition(f.host,"+")),f.floatingParent&&f.floatingParent.remove(),b(b(f.host.parent()).parent()).scrollLeft(m.scrollLeft());else if("in"===a){this._clone(d,c);p=m.offset();c=b(g).scrollTop();var u=b(h).height();u=c+u;var z=n?p.top:e.tbodyTop;m=n?p.top+m.outerHeight():e.tfootTop;c="footer"===d?z>u?e.tfootHeight:z+e.tfootHeight-u:c+this.c.headerOffset+e.theadHeight-m;m="header"===d?"top":"bottom";c=this.c[d+
+"Offset"]-(0<c?c:0);f.floating.addClass("fixedHeader-floating");f.floatingParent.css(m,c).css({left:e.left,height:"header"===d?e.theadHeight:e.tfootHeight,"z-index":2}).append(f.floating);q(e.width);"footer"===d&&f.floating.css("top","")}else"below"===a?(this._clone(d,c),f.floating.addClass("fixedHeader-locked"),f.floatingParent.css({position:"absolute",top:e.tfootTop-e.theadHeight,left:e.left+"px"}),q(e.width)):"above"===a&&(this._clone(d,c),f.floating.addClass("fixedHeader-locked"),f.floatingParent.css({position:"absolute",
+top:e.tbodyTop,left:e.left+"px"}),q(e.width));r&&r!==g.activeElement&&setTimeout(function(){r.focus()},10);this.s.scrollLeft.header=-1;this.s.scrollLeft.footer=-1;this.s[d+"Mode"]=a}},_positions:function(){var a=this.s.dt,d=a.table(),c=this.s.position,f=this.dom;d=b(d.node());var e=this._scrollEnabled(),n=b(a.table().header());a=b(a.table().footer());f=f.tbody;var q=d.parent();c.visible=d.is(":visible");c.width=d.outerWidth();c.left=d.offset().left;c.theadTop=n.offset().top;c.tbodyTop=e?q.offset().top:
+f.offset().top;c.tbodyHeight=e?q.outerHeight():f.outerHeight();c.theadHeight=n.outerHeight();c.theadBottom=c.theadTop+c.theadHeight;a.length?(c.tfootTop=c.tbodyTop+c.tbodyHeight,c.tfootBottom=c.tfootTop+a.outerHeight(),c.tfootHeight=a.outerHeight()):(c.tfootTop=c.tbodyTop+f.outerHeight(),c.tfootBottom=c.tfootTop,c.tfootHeight=c.tfootTop)},_scroll:function(a){if(!this.s.dt.settings()[0].bDestroying){var d=this._scrollEnabled(),c=b(this.s.dt.table().node()).parent(),f=c.offset(),e=c.outerHeight(),n=
+b(g).scrollLeft(),q=b(g).scrollTop(),p=b(h).height(),r=p+q,m=this.s.position,u=d?f.top:m.tbodyTop,z=d?f.left:m.left;e=d?f.top+e:m.tfootTop;var B=d?c.outerWidth():m.tbodyWidth;r=q+p;this.c.header&&(this.s.enable?!m.visible||q+this.c.headerOffset+m.theadHeight<=u?p="in-place":q+this.c.headerOffset+m.theadHeight>u&&q+this.c.headerOffset+m.theadHeight<e?(p="in",c=b(b(this.s.dt.table().node()).parent()),q+this.c.headerOffset+m.theadHeight>e||this.dom.header.floatingParent===l?a=!0:this.dom.header.floatingParent.css({top:this.c.headerOffset,
+position:"fixed"}).append(this.dom.header.floating)):p="below":p="in-place",(a||p!==this.s.headerMode)&&this._modeChange(p,"header",a),this._horizontal("header",n));var x={offset:{top:0,left:0},height:0},y={offset:{top:0,left:0},height:0};this.c.footer&&this.dom.tfoot.length&&(this.s.enable?!m.visible||m.tfootBottom+this.c.footerOffset<=r?m="in-place":e+m.tfootHeight+this.c.footerOffset>r&&u+this.c.footerOffset<r?(m="in",a=!0):m="above":m="in-place",(a||m!==this.s.footerMode)&&this._modeChange(m,
+"footer",a),this._horizontal("footer",n),a=function(A){return{offset:A.offset(),height:A.outerHeight()}},x=this.dom.header.floating?a(this.dom.header.floating):a(this.dom.thead),y=this.dom.footer.floating?a(this.dom.footer.floating):a(this.dom.tfoot),d&&y.offset.top>q&&(d=q-f.top,r=r+(d>-x.height?d:0)-(x.offset.top+(d<-x.height?x.height:0)+y.height),0>r&&(r=0),c.outerHeight(r),Math.round(c.outerHeight())>=Math.round(r)?b(this.dom.tfoot.parent()).addClass("fixedHeader-floating"):b(this.dom.tfoot.parent()).removeClass("fixedHeader-floating")));
+this.dom.header.floating&&this.dom.header.floatingParent.css("left",z-n);this.dom.footer.floating&&this.dom.footer.floatingParent.css("left",z-n);this.s.dt.settings()[0]._fixedColumns!==l&&(c=function(A,C,v){v===l&&(v=b("div.dtfc-"+A+"-"+C+"-blocker"),v=0===v.length?null:v.clone().appendTo("body").css("z-index",1));null!==v&&v.css({top:"top"===C?x.offset.top:y.offset.top,left:"right"===A?z+B-v.width():z});return v},this.dom.header.rightBlocker=c("right","top",this.dom.header.rightBlocker),this.dom.header.leftBlocker=
+c("left","top",this.dom.header.leftBlocker),this.dom.footer.rightBlocker=c("right","bottom",this.dom.footer.rightBlocker),this.dom.footer.leftBlocker=c("left","bottom",this.dom.footer.leftBlocker))}},_scrollEnabled:function(){var a=this.s.dt.settings()[0].oScroll;return""!==a.sY||""!==a.sX?!0:!1}});t.version="3.2.4";t.defaults={header:!0,footer:!1,headerOffset:0,footerOffset:0};b.fn.dataTable.FixedHeader=t;b.fn.DataTable.FixedHeader=t;b(g).on("init.dt.dtfh",function(a,d,c){"dt"===a.namespace&&(a=
+d.oInit.fixedHeader,c=k.defaults.fixedHeader,!a&&!c||d._fixedHeader||(c=b.extend({},c,a),!1!==a&&new t(d,c)))});k.Api.register("fixedHeader()",function(){});k.Api.register("fixedHeader.adjust()",function(){return this.iterator("table",function(a){(a=a._fixedHeader)&&a.update()})});k.Api.register("fixedHeader.enable()",function(a){return this.iterator("table",function(d){d=d._fixedHeader;a=a!==l?a:!0;d&&a!==d.enabled()&&d.enable(a)})});k.Api.register("fixedHeader.enabled()",function(){if(this.context.length){var a=
+this.context[0]._fixedHeader;if(a)return a.enabled()}return!1});k.Api.register("fixedHeader.disable()",function(){return this.iterator("table",function(a){(a=a._fixedHeader)&&a.enabled()&&a.enable(!1)})});b.each(["header","footer"],function(a,d){k.Api.register("fixedHeader."+d+"Offset()",function(c){var f=this.context;return c===l?f.length&&f[0]._fixedHeader?f[0]._fixedHeader[d+"Offset"]():l:this.iterator("table",function(e){if(e=e._fixedHeader)e[d+"Offset"](c)})})});return t});
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/FixedHeader/js/fixedHeader.dataTables.min.js
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/FixedHeader/js/fixedHeader.dataTables.min.js	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/FixedHeader/js/fixedHeader.dataTables.min.js	(revision 3761)
@@ -0,0 +1,5 @@
+/*!
+ DataTables styling wrapper for FixedHeader
+ Â©2018 SpryMedia Ltd - datatables.net/license
+*/
+(function(c){"function"===typeof define&&define.amd?define(["jquery","datatables.net-dt","datatables.net-fixedheader"],function(a){return c(a,window,document)}):"object"===typeof exports?module.exports=function(a,b){a||(a=window);b&&b.fn.dataTable||(b=require("datatables.net-dt")(a,b).$);b.fn.dataTable.FixedHeader||require("datatables.net-fixedheader")(a,b);return c(b,a,a.document)}:c(jQuery,window,document)})(function(c,a,b,d){return c.fn.dataTable});
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/FixedHeader/js/fixedHeader.foundation.min.js
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/FixedHeader/js/fixedHeader.foundation.min.js	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/FixedHeader/js/fixedHeader.foundation.min.js	(revision 3761)
@@ -0,0 +1,5 @@
+/*!
+ Foundation styling wrapper for FixedHeader
+ Â©2018 SpryMedia Ltd - datatables.net/license
+*/
+(function(c){"function"===typeof define&&define.amd?define(["jquery","datatables.net-zf","datatables.net-fixedheader"],function(a){return c(a,window,document)}):"object"===typeof exports?module.exports=function(a,b){a||(a=window);b&&b.fn.dataTable||(b=require("datatables.net-zf")(a,b).$);b.fn.dataTable.FixedHeader||require("datatables.net-fixedheader")(a,b);return c(b,a,a.document)}:c(jQuery,window,document)})(function(c,a,b,d){return c.fn.dataTable});
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/FixedHeader/js/fixedHeader.bootstrap.min.js
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/FixedHeader/js/fixedHeader.bootstrap.min.js	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/FixedHeader/js/fixedHeader.bootstrap.min.js	(revision 3761)
@@ -0,0 +1,5 @@
+/*!
+ Bootstrap 3 styling wrapper for FixedHeader
+ Â©2018 SpryMedia Ltd - datatables.net/license
+*/
+(function(c){"function"===typeof define&&define.amd?define(["jquery","datatables.net-bs","datatables.net-fixedheader"],function(a){return c(a,window,document)}):"object"===typeof exports?module.exports=function(a,b){a||(a=window);b&&b.fn.dataTable||(b=require("datatables.net-bs")(a,b).$);b.fn.dataTable.FixedHeader||require("datatables.net-fixedheader")(a,b);return c(b,a,a.document)}:c(jQuery,window,document)})(function(c,a,b,d){return c.fn.dataTable});
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/FixedHeader/js/fixedHeader.jqueryui.min.js
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/FixedHeader/js/fixedHeader.jqueryui.min.js	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/FixedHeader/js/fixedHeader.jqueryui.min.js	(revision 3761)
@@ -0,0 +1,5 @@
+/*!
+ jQuery UI styling wrapper for FixedHeader
+ Â©2018 SpryMedia Ltd - datatables.net/license
+*/
+(function(c){"function"===typeof define&&define.amd?define(["jquery","datatables.net-jqui","datatables.net-fixedheader"],function(a){return c(a,window,document)}):"object"===typeof exports?module.exports=function(a,b){a||(a=window);b&&b.fn.dataTable||(b=require("datatables.net-jqui")(a,b).$);b.fn.dataTable.FixedHeader||require("datatables.net-fixedheader")(a,b);return c(b,a,a.document)}:c(jQuery,window,document)})(function(c,a,b,d){return c.fn.dataTable});
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/RowReorder/css/rowReorder.bootstrap.min.css
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/RowReorder/css/rowReorder.bootstrap.min.css	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/RowReorder/css/rowReorder.bootstrap.min.css	(revision 3761)
@@ -0,0 +1 @@
+table.dt-rowReorder-float{position:absolute !important;opacity:.8;table-layout:fixed;outline:2px solid #337ab7;outline-offset:-2px;z-index:2001}tr.dt-rowReorder-moving{outline:2px solid #888;outline-offset:-2px}body.dt-rowReorder-noOverflow{overflow-x:hidden}table.dataTable td.reorder{text-align:center;cursor:move}
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/RowReorder/css/rowReorder.jqueryui.min.css
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/RowReorder/css/rowReorder.jqueryui.min.css	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/RowReorder/css/rowReorder.jqueryui.min.css	(revision 3761)
@@ -0,0 +1 @@
+table.dt-rowReorder-float{position:absolute !important;opacity:.8;table-layout:fixed;outline:2px solid #888;outline-offset:-2px;z-index:2001}tr.dt-rowReorder-moving{outline:2px solid #555;outline-offset:-2px}body.dt-rowReorder-noOverflow{overflow-x:hidden}table.dataTable td.reorder{text-align:center;cursor:move}
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/RowReorder/css/rowReorder.bulma.min.css
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/RowReorder/css/rowReorder.bulma.min.css	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/RowReorder/css/rowReorder.bulma.min.css	(revision 3761)
@@ -0,0 +1 @@
+table.dt-rowReorder-float{position:absolute !important;opacity:.8;table-layout:fixed;outline:2px solid #00d1b2;outline-offset:-2px;z-index:2001}tr.dt-rowReorder-moving{outline:2px solid #888;outline-offset:-2px}body.dt-rowReorder-noOverflow{overflow-x:hidden}table.dataTable td.reorder{text-align:center;cursor:move}
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/RowReorder/css/rowReorder.bootstrap4.min.css
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/RowReorder/css/rowReorder.bootstrap4.min.css	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/RowReorder/css/rowReorder.bootstrap4.min.css	(revision 3761)
@@ -0,0 +1 @@
+table.dt-rowReorder-float{position:absolute !important;opacity:.8;table-layout:fixed;outline:2px solid #0275d8;outline-offset:-2px;z-index:2001}tr.dt-rowReorder-moving{outline:2px solid #888;outline-offset:-2px}body.dt-rowReorder-noOverflow{overflow-x:hidden}table.dataTable td.reorder{text-align:center;cursor:move}
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/RowReorder/css/rowReorder.semanticui.min.css
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/RowReorder/css/rowReorder.semanticui.min.css	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/RowReorder/css/rowReorder.semanticui.min.css	(revision 3761)
@@ -0,0 +1 @@
+table.dt-rowReorder-float{position:absolute !important;opacity:.8;table-layout:fixed;outline:2px solid rgba(0, 0, 0, 0.05);outline-offset:-2px;z-index:2001}tr.dt-rowReorder-moving{outline:2px solid #888;outline-offset:-2px}body.dt-rowReorder-noOverflow{overflow-x:hidden}table.dataTable td.reorder{text-align:center;cursor:move}
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/RowReorder/css/rowReorder.bootstrap5.min.css
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/RowReorder/css/rowReorder.bootstrap5.min.css	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/RowReorder/css/rowReorder.bootstrap5.min.css	(revision 3761)
@@ -0,0 +1 @@
+table.dt-rowReorder-float{position:absolute !important;opacity:.8;table-layout:fixed;outline:2px solid #0d6efd;outline-offset:-2px;z-index:2001}tr.dt-rowReorder-moving{outline:2px solid #888;outline-offset:-2px}body.dt-rowReorder-noOverflow{overflow-x:hidden}table.dataTable td.reorder{text-align:center;cursor:move}
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/RowReorder/css/rowReorder.dataTables.min.css
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/RowReorder/css/rowReorder.dataTables.min.css	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/RowReorder/css/rowReorder.dataTables.min.css	(revision 3761)
@@ -0,0 +1 @@
+table.dt-rowReorder-float{position:absolute !important;opacity:.8;table-layout:fixed;outline:2px solid #888;outline-offset:-2px;z-index:2001}tr.dt-rowReorder-moving{outline:2px solid #555;outline-offset:-2px}body.dt-rowReorder-noOverflow{overflow-x:hidden}table.dataTable td.reorder{text-align:center;cursor:move}
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/RowReorder/css/rowReorder.foundation.min.css
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/RowReorder/css/rowReorder.foundation.min.css	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/RowReorder/css/rowReorder.foundation.min.css	(revision 3761)
@@ -0,0 +1 @@
+table.dt-rowReorder-float{position:absolute !important;opacity:.8;table-layout:fixed;outline:2px solid #337ab7;outline-offset:-2px;z-index:2001}tr.dt-rowReorder-moving{outline:2px solid #888;outline-offset:-2px}body.dt-rowReorder-noOverflow{overflow-x:hidden}table.dataTable td.reorder{text-align:center;cursor:move}
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/RowReorder/js/rowReorder.bootstrap.min.js
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/RowReorder/js/rowReorder.bootstrap.min.js	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/RowReorder/js/rowReorder.bootstrap.min.js	(revision 3761)
@@ -0,0 +1,5 @@
+/*!
+ Bootstrap 3 styling wrapper for RowReorder
+ Â©2018 SpryMedia Ltd - datatables.net/license
+*/
+(function(c){"function"===typeof define&&define.amd?define(["jquery","datatables.net-bs","datatables.net-rowreorder"],function(a){return c(a,window,document)}):"object"===typeof exports?module.exports=function(a,b){a||(a=window);b&&b.fn.dataTable||(b=require("datatables.net-bs")(a,b).$);b.fn.dataTable.RowReorder||require("datatables.net-rowreorder")(a,b);return c(b,a,a.document)}:c(jQuery,window,document)})(function(c,a,b,d){return c.fn.dataTable});
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/RowReorder/js/rowReorder.jqueryui.min.js
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/RowReorder/js/rowReorder.jqueryui.min.js	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/RowReorder/js/rowReorder.jqueryui.min.js	(revision 3761)
@@ -0,0 +1,5 @@
+/*!
+ jQuery UI styling wrapper for RowReorder
+ Â©2018 SpryMedia Ltd - datatables.net/license
+*/
+(function(c){"function"===typeof define&&define.amd?define(["jquery","datatables.net-jqui","datatables.net-rowreorder"],function(a){return c(a,window,document)}):"object"===typeof exports?module.exports=function(a,b){a||(a=window);b&&b.fn.dataTable||(b=require("datatables.net-jqui")(a,b).$);b.fn.dataTable.RowReorder||require("datatables.net-rowreorder")(a,b);return c(b,a,a.document)}:c(jQuery,window,document)})(function(c,a,b,d){return c.fn.dataTable});
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/RowReorder/js/rowReorder.bulma.min.js
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/RowReorder/js/rowReorder.bulma.min.js	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/RowReorder/js/rowReorder.bulma.min.js	(revision 3761)
@@ -0,0 +1,5 @@
+/*!
+ Bulma styling wrapper for RowReorder
+ Â©2018 SpryMedia Ltd - datatables.net/license
+*/
+(function(c){"function"===typeof define&&define.amd?define(["jquery","datatables.net-bm","datatables.net-rowreorder"],function(a){return c(a,window,document)}):"object"===typeof exports?module.exports=function(a,b){a||(a=window);b&&b.fn.dataTable||(b=require("datatables.net-bm")(a,b).$);b.fn.dataTable.RowReorder||require("datatables.net-rowreorder")(a,b);return c(b,a,a.document)}:c(jQuery,window,document)})(function(c,a,b,d){return c.fn.dataTable});
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/RowReorder/js/rowReorder.bootstrap4.min.js
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/RowReorder/js/rowReorder.bootstrap4.min.js	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/RowReorder/js/rowReorder.bootstrap4.min.js	(revision 3761)
@@ -0,0 +1,5 @@
+/*!
+ Bootstrap 4 styling wrapper for RowReorder
+ Â©2018 SpryMedia Ltd - datatables.net/license
+*/
+(function(c){"function"===typeof define&&define.amd?define(["jquery","datatables.net-bs4","datatables.net-rowreorder"],function(a){return c(a,window,document)}):"object"===typeof exports?module.exports=function(a,b){a||(a=window);b&&b.fn.dataTable||(b=require("datatables.net-bs4")(a,b).$);b.fn.dataTable.RowReorder||require("datatables.net-rowreorder")(a,b);return c(b,a,a.document)}:c(jQuery,window,document)})(function(c,a,b,d){return c.fn.dataTable});
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/RowReorder/js/rowReorder.semanticui.min.js
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/RowReorder/js/rowReorder.semanticui.min.js	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/RowReorder/js/rowReorder.semanticui.min.js	(revision 3761)
@@ -0,0 +1,5 @@
+/*!
+ Semanic UI styling wrapper for RowReorder
+ Â©2018 SpryMedia Ltd - datatables.net/license
+*/
+(function(c){"function"===typeof define&&define.amd?define(["jquery","datatables.net-se","datatables.net-rowreorder"],function(a){return c(a,window,document)}):"object"===typeof exports?module.exports=function(a,b){a||(a=window);b&&b.fn.dataTable||(b=require("datatables.net-se")(a,b).$);b.fn.dataTable.RowReorder||require("datatables.net-rowreorder")(a,b);return c(b,a,a.document)}:c(jQuery,window,document)})(function(c,a,b,d){return c.fn.dataTable});
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/RowReorder/js/rowReorder.bootstrap5.min.js
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/RowReorder/js/rowReorder.bootstrap5.min.js	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/RowReorder/js/rowReorder.bootstrap5.min.js	(revision 3761)
@@ -0,0 +1,5 @@
+/*!
+ Bootstrap 5 styling wrapper for RowReorder
+ Â©2018 SpryMedia Ltd - datatables.net/license
+*/
+(function(c){"function"===typeof define&&define.amd?define(["jquery","datatables.net-bs5","datatables.net-rowreorder"],function(a){return c(a,window,document)}):"object"===typeof exports?module.exports=function(a,b){a||(a=window);b&&b.fn.dataTable||(b=require("datatables.net-bs5")(a,b).$);b.fn.dataTable.RowReorder||require("datatables.net-rowreorder")(a,b);return c(b,a,a.document)}:c(jQuery,window,document)})(function(c,a,b,d){return c.fn.dataTable});
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/RowReorder/js/dataTables.rowReorder.min.js
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/RowReorder/js/dataTables.rowReorder.min.js	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/RowReorder/js/dataTables.rowReorder.min.js	(revision 3761)
@@ -0,0 +1,29 @@
+/*!
+   Copyright 2015-2020 SpryMedia Ltd.
+
+ This source file is free software, available under the following license:
+   MIT license - http://datatables.net/license/mit
+
+ This source file is distributed in the hope that it will be useful, but
+ WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY
+ or FITNESS FOR A PARTICULAR PURPOSE. See the license files for details.
+
+ For details please refer to: http://www.datatables.net
+ RowReorder 1.2.8
+ 2015-2020 SpryMedia Ltd - datatables.net/license
+*/
+(function(d){"function"===typeof define&&define.amd?define(["jquery","datatables.net"],function(m){return d(m,window,document)}):"object"===typeof exports?module.exports=function(m,h){m||(m=window);h&&h.fn.dataTable||(h=require("datatables.net")(m,h).$);return d(h,m,m.document)}:d(jQuery,window,document)})(function(d,m,h,A){var q=d.fn.dataTable,p=function(a,b){if(!q.versionCheck||!q.versionCheck("1.10.8"))throw"DataTables RowReorder requires DataTables 1.10.8 or newer";this.c=d.extend(!0,{},q.defaults.rowReorder,
+p.defaults,b);this.s={bodyTop:null,dt:new q.Api(a),getDataFn:q.ext.oApi._fnGetObjectDataFn(this.c.dataSrc),middles:null,scroll:{},scrollInterval:null,setDataFn:q.ext.oApi._fnSetObjectDataFn(this.c.dataSrc),start:{top:0,left:0,offsetTop:0,offsetLeft:0,nodes:[]},windowHeight:0,documentOuterHeight:0,domCloneOuterHeight:0};this.dom={clone:null,dtScroll:d("div.dataTables_scrollBody",this.s.dt.table().container())};a=this.s.dt.settings()[0];if(b=a.rowreorder)return b;this.dom.dtScroll.length||(this.dom.dtScroll=
+d(this.s.dt.table().container(),"tbody"));a.rowreorder=this;this._constructor()};d.extend(p.prototype,{_constructor:function(){var a=this,b=this.s.dt,c=d(b.table().node());"static"===c.css("position")&&c.css("position","relative");d(b.table().container()).on("mousedown.rowReorder touchstart.rowReorder",this.c.selector,function(e){if(a.c.enable){if(d(e.target).is(a.c.excludedChildren))return!0;var f=d(this).closest("tr"),g=b.row(f);if(g.any())return a._emitEvent("pre-row-reorder",{node:g.node(),index:g.index()}),
+a._mouseDown(e,f),!1}});b.on("destroy.rowReorder",function(){d(b.table().container()).off(".rowReorder");b.off(".rowReorder")})},_cachePositions:function(){var a=this.s.dt,b=d(a.table().node()).find("thead").outerHeight(),c=d.unique(a.rows({page:"current"}).nodes().toArray());c=d.map(c,function(e,f){f=d(e).position().top-b;return(f+f+d(e).outerHeight())/2});this.s.middles=c;this.s.bodyTop=d(a.table().body()).offset().top;this.s.windowHeight=d(m).height();this.s.documentOuterHeight=d(h).outerHeight()},
+_clone:function(a){var b=d(this.s.dt.table().node().cloneNode(!1)).addClass("dt-rowReorder-float").append("<tbody/>").append(a.clone(!1)),c=a.outerWidth(),e=a.outerHeight(),f=a.children().map(function(){return d(this).width()});b.width(c).height(e).find("tr").children().each(function(g){this.style.width=f[g]+"px"});b.appendTo("body");this.dom.clone=b;this.s.domCloneOuterHeight=b.outerHeight()},_clonePosition:function(a){var b=this.s.start,c=this._eventToPage(a,"Y")-b.top;a=this._eventToPage(a,"X")-
+b.left;var e=this.c.snapX;c+=b.offsetTop;b=!0===e?b.offsetLeft:"number"===typeof e?b.offsetLeft+e:a+b.offsetLeft;0>c?c=0:c+this.s.domCloneOuterHeight>this.s.documentOuterHeight&&(c=this.s.documentOuterHeight-this.s.domCloneOuterHeight);this.dom.clone.css({top:c,left:b})},_emitEvent:function(a,b){this.s.dt.iterator("table",function(c,e){d(c.nTable).triggerHandler(a+".dt",b)})},_eventToPage:function(a,b){return-1!==a.type.indexOf("touch")?a.originalEvent.touches[0]["page"+b]:a["page"+b]},_mouseDown:function(a,
+b){var c=this,e=this.s.dt,f=this.s.start,g=b.offset();f.top=this._eventToPage(a,"Y");f.left=this._eventToPage(a,"X");f.offsetTop=g.top;f.offsetLeft=g.left;f.nodes=d.unique(e.rows({page:"current"}).nodes().toArray());this._cachePositions();this._clone(b);this._clonePosition(a);this.dom.target=b;b.addClass("dt-rowReorder-moving");d(h).on("mouseup.rowReorder touchend.rowReorder",function(k){c._mouseUp(k)}).on("mousemove.rowReorder touchmove.rowReorder",function(k){c._mouseMove(k)});d(m).width()===d(h).width()&&
+d(h.body).addClass("dt-rowReorder-noOverflow");a=this.dom.dtScroll;this.s.scroll={windowHeight:d(m).height(),windowWidth:d(m).width(),dtTop:a.length?a.offset().top:null,dtLeft:a.length?a.offset().left:null,dtHeight:a.length?a.outerHeight():null,dtWidth:a.length?a.outerWidth():null}},_mouseMove:function(a){this._clonePosition(a);for(var b=this._eventToPage(a,"Y")-this.s.bodyTop,c=this.s.middles,e=null,f=this.s.dt,g=0,k=c.length;g<k;g++)if(b<c[g]){e=g;break}null===e&&(e=c.length);if(null===this.s.lastInsert||
+this.s.lastInsert!==e)b=d.unique(f.rows({page:"current"}).nodes().toArray()),e>this.s.lastInsert?this.dom.target.insertAfter(b[e-1]):this.dom.target.insertBefore(b[e]),this._cachePositions(),this.s.lastInsert=e;this._shiftScroll(a)},_mouseUp:function(a){var b=this,c=this.s.dt,e,f=this.c.dataSrc;this.dom.clone.remove();this.dom.clone=null;this.dom.target.removeClass("dt-rowReorder-moving");d(h).off(".rowReorder");d(h.body).removeClass("dt-rowReorder-noOverflow");clearInterval(this.s.scrollInterval);
+this.s.scrollInterval=null;var g=this.s.start.nodes,k=d.unique(c.rows({page:"current"}).nodes().toArray()),n={},r=[],t=[],u=this.s.getDataFn,B=this.s.setDataFn;var l=0;for(e=g.length;l<e;l++)if(g[l]!==k[l]){var w=c.row(k[l]).id(),C=c.row(k[l]).data(),x=c.row(g[l]).data();w&&(n[w]=u(x));r.push({node:k[l],oldData:u(C),newData:u(x),newPosition:l,oldPosition:d.inArray(k[l],g)});t.push(k[l])}var y=[r,{dataSrc:f,nodes:t,values:n,triggerRow:c.row(this.dom.target),originalEvent:a}];this._emitEvent("row-reorder",
+y);var z=function(){if(b.c.update){l=0;for(e=r.length;l<e;l++){var D=c.row(r[l].node).data();B(D,r[l].newData);c.columns().every(function(){this.dataSrc()===f&&c.cell(r[l].node,this.index()).invalidate("data")})}b._emitEvent("row-reordered",y);c.draw(!1)}};this.c.editor?(this.c.enable=!1,this.c.editor.edit(t,!1,d.extend({submit:"changed"},this.c.formOptions)).multiSet(f,n).one("preSubmitCancelled.rowReorder",function(){b.c.enable=!0;b.c.editor.off(".rowReorder");c.draw(!1)}).one("submitUnsuccessful.rowReorder",
+function(){c.draw(!1)}).one("submitSuccess.rowReorder",function(){z()}).one("submitComplete",function(){b.c.enable=!0;b.c.editor.off(".rowReorder")}).submit()):z()},_shiftScroll:function(a){var b=this,c=this.s.scroll,e=!1,f=a.pageY-h.body.scrollTop,g,k;f<d(m).scrollTop()+65?g=-5:f>c.windowHeight+d(m).scrollTop()-65&&(g=5);null!==c.dtTop&&a.pageY<c.dtTop+65?k=-5:null!==c.dtTop&&a.pageY>c.dtTop+c.dtHeight-65&&(k=5);g||k?(c.windowVert=g,c.dtVert=k,e=!0):this.s.scrollInterval&&(clearInterval(this.s.scrollInterval),
+this.s.scrollInterval=null);!this.s.scrollInterval&&e&&(this.s.scrollInterval=setInterval(function(){if(c.windowVert){var n=d(h).scrollTop();d(h).scrollTop(n+c.windowVert);n!==d(h).scrollTop()&&(n=parseFloat(b.dom.clone.css("top")),b.dom.clone.css("top",n+c.windowVert))}c.dtVert&&(n=b.dom.dtScroll[0],c.dtVert&&(n.scrollTop+=c.dtVert))},20))}});p.defaults={dataSrc:0,editor:null,enable:!0,formOptions:{},selector:"td:first-child",snapX:!1,update:!0,excludedChildren:"a"};var v=d.fn.dataTable.Api;v.register("rowReorder()",
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+c),!1!==a&&new p(b,c))});return p});
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/RowReorder/js/rowReorder.dataTables.min.js
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/RowReorder/js/rowReorder.dataTables.min.js	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/RowReorder/js/rowReorder.dataTables.min.js	(revision 3761)
@@ -0,0 +1,5 @@
+/*!
+ DataTables styling wrapper for RowReorder
+ Â©2018 SpryMedia Ltd - datatables.net/license
+*/
+(function(c){"function"===typeof define&&define.amd?define(["jquery","datatables.net-dt","datatables.net-rowreorder"],function(a){return c(a,window,document)}):"object"===typeof exports?module.exports=function(a,b){a||(a=window);b&&b.fn.dataTable||(b=require("datatables.net-dt")(a,b).$);b.fn.dataTable.RowReorder||require("datatables.net-rowreorder")(a,b);return c(b,a,a.document)}:c(jQuery,window,document)})(function(c,a,b,d){return c.fn.dataTable});
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/RowReorder/js/rowReorder.foundation.min.js
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/RowReorder/js/rowReorder.foundation.min.js	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/RowReorder/js/rowReorder.foundation.min.js	(revision 3761)
@@ -0,0 +1,5 @@
+/*!
+ Foundation styling wrapper for RowReorder
+ Â©2018 SpryMedia Ltd - datatables.net/license
+*/
+(function(c){"function"===typeof define&&define.amd?define(["jquery","datatables.net-zf","datatables.net-rowreorder"],function(a){return c(a,window,document)}):"object"===typeof exports?module.exports=function(a,b){a||(a=window);b&&b.fn.dataTable||(b=require("datatables.net-zf")(a,b).$);b.fn.dataTable.RowReorder||require("datatables.net-rowreorder")(a,b);return c(b,a,a.document)}:c(jQuery,window,document)})(function(c,a,b,d){return c.fn.dataTable});
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/DateTime/css/dataTables.dateTime.min.css
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/DateTime/css/dataTables.dateTime.min.css	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/DateTime/css/dataTables.dateTime.min.css	(revision 3761)
@@ -0,0 +1 @@
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Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/DateTime/js/dataTables.dateTime.min.js
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/DateTime/js/dataTables.dateTime.min.js	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/DateTime/js/dataTables.dateTime.min.js	(revision 3761)
@@ -0,0 +1,43 @@
+/*!
+ DateTime picker for DataTables.net v1.1.2
+
+ Â© SpryMedia Ltd, all rights reserved.
+ License: MIT datatables.net/license/mit
+*/
+var $jscomp=$jscomp||{};$jscomp.scope={};$jscomp.findInternal=function(d,f,l){d instanceof String&&(d=String(d));for(var m=d.length,g=0;g<m;g++){var q=d[g];if(f.call(l,q,g,d))return{i:g,v:q}}return{i:-1,v:void 0}};$jscomp.ASSUME_ES5=!1;$jscomp.ASSUME_NO_NATIVE_MAP=!1;$jscomp.ASSUME_NO_NATIVE_SET=!1;$jscomp.SIMPLE_FROUND_POLYFILL=!1;$jscomp.ISOLATE_POLYFILLS=!1;
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+this.dom.date.append(this.dom.title).append(this.dom.buttons).append(this.dom.calendar);this._constructor()};d.extend(q.prototype,{destroy:function(){this._hide(!0);this.dom.container.off().empty();this.dom.input.removeAttr("autocomplete").off(".datetime")},errorMsg:function(a){var b=this.dom.error;a?b.html(a):b.empty();return this},hide:function(){this._hide();return this},max:function(a){this.c.maxDate="string"===typeof a?new Date(a):a;this._optionsTitle();this._setCalander();return this},min:function(a){this.c.minDate=
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+d(this),h=e.val();e.hasClass(b+"-month")?(a._correctMonth(a.s.display,h),a._setTitle(),a._setCalander()):e.hasClass(b+"-year")?(a.s.display.setUTCFullYear(h),a._setTitle(),a._setCalander()):e.hasClass(b+"-hours")||e.hasClass(b+"-ampm")?(a.s.parts.hours12?(e=1*d(a.dom.container).find("."+b+"-hours").val(),h="pm"===d(a.dom.container).find("."+b+"-ampm").val(),a.s.d.setUTCHours(12!==e||h?h&&12!==e?e+12:e:0)):a.s.d.setUTCHours(h),a._setTime(),a._writeOutput(!0),k()):e.hasClass(b+"-minutes")?(a.s.d.setUTCMinutes(h),
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+(a.s.display=new Date,a._setTitle(),a._setCalander())),"button"===h){var p=d(r);e=p.parent();if(e.hasClass("disabled")&&!e.hasClass("range"))p.blur();else if(e.hasClass(b+"-iconLeft"))a.s.display.setUTCMonth(a.s.display.getUTCMonth()-1),a._setTitle(),a._setCalander(),a.dom.input.focus();else if(e.hasClass(b+"-iconRight"))a._correctMonth(a.s.display,a.s.display.getUTCMonth()+1),a._setTitle(),a._setCalander(),a.dom.input.focus();else{if(p.parents("."+b+"-time").length){r=p.data("value");p=p.data("unit");
+h=a._needValue();if("minutes"===p){if(e.hasClass("disabled")&&e.hasClass("range")){a.s.minutesRange=r;a._setTime();return}a.s.minutesRange=null}if("seconds"===p){if(e.hasClass("disabled")&&e.hasClass("range")){a.s.secondsRange=r;a._setTime();return}a.s.secondsRange=null}if("am"===r)if(12<=h.getUTCHours())r=h.getUTCHours()-12;else return;else if("pm"===r)if(12>h.getUTCHours())r=h.getUTCHours()+12;else return;h["hours"===p?"setUTCHours":"minutes"===p?"setUTCMinutes":"setSeconds"](r);a._setTime();a._writeOutput(!0)}else h=
+a._needValue(),h.setUTCDate(1),h.setUTCFullYear(p.data("year")),h.setUTCMonth(p.data("month")),h.setUTCDate(p.data("day")),a._writeOutput(!0),a.s.parts.time?a._setCalander():setTimeout(function(){a._hide()},10);k()}}else a.dom.input.focus()})},_compareDates:function(a,b){return g&&g==f.luxon?g.DateTime.fromJSDate(a).toISODate()===g.DateTime.fromJSDate(b).toISODate():this._dateToUtcString(a)===this._dateToUtcString(b)},_correctMonth:function(a,b){var c=this._daysInMonth(a.getUTCFullYear(),b),k=a.getUTCDate()>
+c;a.setUTCMonth(b);k&&(a.setUTCDate(c),a.setUTCMonth(b))},_daysInMonth:function(a,b){return[31,0!==a%4||0===a%100&&0!==a%400?28:29,31,30,31,30,31,31,30,31,30,31][b]},_dateToUtc:function(a){return new Date(Date.UTC(a.getFullYear(),a.getMonth(),a.getDate(),a.getHours(),a.getMinutes(),a.getSeconds()))},_dateToUtcString:function(a){return g&&g==f.luxon?g.DateTime.fromJSDate(a).toISODate():a.getUTCFullYear()+"-"+this._pad(a.getUTCMonth()+1)+"-"+this._pad(a.getUTCDate())},_hide:function(a){if(a||"hidden"!==
+this.dom.input.attr("type"))a=this.s.namespace,this.dom.container.detach(),d(f).off("."+a),d(l).off("keydown."+a),d("div.dataTables_scrollBody").off("scroll."+a),d("div.DTE_Body_Content").off("scroll."+a),d("body").off("click."+a),d(this.dom.input[0].offsetParent).off("."+a)},_hours24To12:function(a){return 0===a?12:12<a?a-12:a},_htmlDay:function(a){if(a.empty)return'<td class="empty"></td>';var b=["selectable"],c=this.c.classPrefix;a.disabled&&b.push("disabled");a.today&&b.push("now");a.selected&&
+b.push("selected");return'<td data-day="'+a.day+'" class="'+b.join(" ")+'"><button class="'+c+"-button "+c+'-day" type="button" data-year="'+a.year+'" data-month="'+a.month+'" data-day="'+a.day+'"><span>'+a.day+"</span></button></td>"},_htmlMonth:function(a,b){var c=this._dateToUtc(new Date),k=this._daysInMonth(a,b),e=(new Date(Date.UTC(a,b,1))).getUTCDay(),h=[],r=[];0<this.c.firstDay&&(e-=this.c.firstDay,0>e&&(e+=7));for(var p=k+e,u=p;7<u;)u-=7;p+=7-u;var w=this.c.minDate;u=this.c.maxDate;w&&(w.setUTCHours(0),
+w.setUTCMinutes(0),w.setSeconds(0));u&&(u.setUTCHours(23),u.setUTCMinutes(59),u.setSeconds(59));for(var n=0,t=0;n<p;n++){var x=new Date(Date.UTC(a,b,1+(n-e))),A=this.s.d?this._compareDates(x,this.s.d):!1,v=this._compareDates(x,c),B=n<e||n>=k+e,z=w&&x<w||u&&x>u,y=this.c.disableDays;Array.isArray(y)&&-1!==d.inArray(x.getUTCDay(),y)?z=!0:"function"===typeof y&&!0===y(x)&&(z=!0);r.push(this._htmlDay({day:1+(n-e),month:b,year:a,selected:A,today:v,disabled:z,empty:B}));7===++t&&(this.c.showWeekNumber&&
+r.unshift(this._htmlWeekOfYear(n-e,b,a)),h.push("<tr>"+r.join("")+"</tr>"),r=[],t=0)}c=this.c.classPrefix;k=c+"-table";this.c.showWeekNumber&&(k+=" weekNumber");w&&(w=w>=new Date(Date.UTC(a,b,1,0,0,0)),this.dom.title.find("div."+c+"-iconLeft").css("display",w?"none":"block"));u&&(a=u<new Date(Date.UTC(a,b+1,1,0,0,0)),this.dom.title.find("div."+c+"-iconRight").css("display",a?"none":"block"));return'<table class="'+k+'"><thead>'+this._htmlMonthHead()+"</thead><tbody>"+h.join("")+"</tbody></table>"},
+_htmlMonthHead:function(){var a=[],b=this.c.firstDay,c=this.c.i18n,k=function(h){for(h+=b;7<=h;)h-=7;return c.weekdays[h]};this.c.showWeekNumber&&a.push("<th></th>");for(var e=0;7>e;e++)a.push("<th>"+k(e)+"</th>");return a.join("")},_htmlWeekOfYear:function(a,b,c){a=new Date(c,b,a,0,0,0,0);a.setDate(a.getDate()+4-(a.getDay()||7));return'<td class="'+this.c.classPrefix+'-week">'+Math.ceil(((a-new Date(c,0,1))/864E5+1)/7)+"</td>"},_needValue:function(){this.s.d||(this.s.d=this._dateToUtc(new Date));
+return this.s.d},_options:function(a,b,c){c||(c=b);a=this.dom.container.find("select."+this.c.classPrefix+"-"+a);a.empty();for(var k=0,e=b.length;k<e;k++)a.append('<option value="'+b[k]+'">'+c[k]+"</option>")},_optionSet:function(a,b){var c=this.dom.container.find("select."+this.c.classPrefix+"-"+a);a=c.parent().children("span");c.val(b);b=c.find("option:selected");a.html(0!==b.length?b.text():this.c.i18n.unknown)},_optionsTime:function(a,b,c,k,e){var h=this.c.classPrefix,r=this.dom.container.find("div."+
+h+"-"+a),p=12===b?function(v){return v}:this._pad;h=this.c.classPrefix;var u=h+"-table",w=this.c.i18n;if(r.length){var n="";var t=10;var x=function(v,B,z){12===b&&"number"===typeof v&&(12<=c&&(v+=12),12==v?v=0:24==v&&(v=12));var y=c===v||"am"===v&&12>c||"pm"===v&&12<=c?"selected":"";k&&-1===d.inArray(v,k)&&(y+=" disabled");z&&(y+=" "+z);return'<td class="selectable '+y+'"><button class="'+h+"-button "+h+'-day" type="button" data-unit="'+a+'" data-value="'+v+'"><span>'+B+"</span></button></td>"};if(12===
+b){n+="<tr>";for(e=1;6>=e;e++)n+=x(e,p(e));n+=x("am",w.amPm[0]);n+="</tr><tr>";for(e=7;12>=e;e++)n+=x(e,p(e));n+=x("pm",w.amPm[1]);n+="</tr>";t=7}else{if(24===b){var A=0;for(t=0;4>t;t++){n+="<tr>";for(e=0;6>e;e++)n+=x(A,p(A)),A++;n+="</tr>"}}else{n+="<tr>";for(t=0;60>t;t+=10)n+=x(t,p(t),"range");e=null!==e?e:10*Math.floor(c/10);n=n+'</tr></tbody></thead><table class="'+(u+" "+u+'-nospace"><tbody><tr>');for(t=e+1;t<e+10;t++)n+=x(t,p(t));n+="</tr>"}t=6}r.empty().append('<table class="'+u+'"><thead><tr><th colspan="'+
+t+'">'+w[a]+"</th></tr></thead><tbody>"+n+"</tbody></table>")}},_optionsTitle:function(){var a=this.c.i18n,b=this.c.minDate,c=this.c.maxDate;b=b?b.getFullYear():null;c=c?c.getFullYear():null;b=null!==b?b:(new Date).getFullYear()-this.c.yearRange;c=null!==c?c:(new Date).getFullYear()+this.c.yearRange;this._options("month",this._range(0,11),a.months);this._options("year",this._range(b,c))},_pad:function(a){return 10>a?"0"+a:a},_position:function(){var a="input"===this.c.attachTo?this.dom.input.position():
+this.dom.input.offset(),b=this.dom.container,c=this.dom.input.outerHeight();if(b.hasClass("inline"))b.insertAfter(this.dom.input);else{this.s.parts.date&&this.s.parts.time&&550<d(f).width()?b.addClass("horizontal"):b.removeClass("horizontal");"input"===this.c.attachTo?b.css({top:a.top+c,left:a.left}).insertAfter(this.dom.input):b.css({top:a.top+c,left:a.left}).appendTo("body");var k=b.outerHeight(),e=b.outerWidth(),h=d(f).scrollTop();a.top+c+k-h>d(f).height()&&(c=a.top-k,b.css("top",0>c?0:c));e+a.left>
+d(f).width()&&(a=d(f).width()-e,"input"===this.c.attachTo&&(a-=d(b).offsetParent().offset().left),b.css("left",0>a?0:a))}},_range:function(a,b,c){var k=[];for(c||(c=1);a<=b;a+=c)k.push(a);return k},_setCalander:function(){this.s.display&&this.dom.calendar.empty().append(this._htmlMonth(this.s.display.getUTCFullYear(),this.s.display.getUTCMonth()))},_setTitle:function(){this._optionSet("month",this.s.display.getUTCMonth());this._optionSet("year",this.s.display.getUTCFullYear())},_setTime:function(){var a=
+this,b=this.s.d,c=null;g&&g==f.luxon&&(c=g.DateTime.fromJSDate(b));var k=null!=c?c.hour:b?b.getUTCHours():0,e=function(h){return a.c[h+"Available"]?a.c[h+"Available"]:a._range(0,59,a.c[h+"Increment"])};this._optionsTime("hours",this.s.parts.hours12?12:24,k,this.c.hoursAvailable);this._optionsTime("minutes",60,null!=c?c.minute:b?b.getUTCMinutes():0,e("minutes"),this.s.minutesRange);this._optionsTime("seconds",60,null!=c?c.second:b?b.getSeconds():0,e("seconds"),this.s.secondsRange)},_show:function(){var a=
+this,b=this.s.namespace;this._position();d(f).on("scroll."+b+" resize."+b,function(){a._position()});d("div.DTE_Body_Content").on("scroll."+b,function(){a._position()});d("div.dataTables_scrollBody").on("scroll."+b,function(){a._position()});var c=this.dom.input[0].offsetParent;if(c!==l.body)d(c).on("scroll."+b,function(){a._position()});d(l).on("keydown."+b,function(k){9!==k.keyCode&&27!==k.keyCode&&13!==k.keyCode||a._hide()});setTimeout(function(){d("body").on("click."+b,function(k){d(k.target).parents().filter(a.dom.container).length||
+k.target===a.dom.input[0]||a._hide()})},10)},_writeOutput:function(a){var b=this.s.d,c="";b&&(c=g&&g==f.luxon?g.DateTime.fromJSDate(this.s.d).toFormat(this.c.format):g?g.utc(b,m,this.c.locale,this.c.strict).format(this.c.format):b.getUTCFullYear()+"-"+this._pad(b.getUTCMonth()+1)+"-"+this._pad(b.getUTCDate()));this.dom.input.val(c).trigger("change",{write:b});"hidden"===this.dom.input.attr("type")&&this.val(c,!1);a&&this.dom.input.focus()}});q.use=function(a){g=a};q._instance=0;q.defaults={attachTo:"body",
+buttons:{clear:!1,today:!1},classPrefix:"dt-datetime",disableDays:null,firstDay:1,format:"YYYY-MM-DD",hoursAvailable:null,i18n:{clear:"Clear",previous:"Previous",next:"Next",months:"January February March April May June July August September October November December".split(" "),weekdays:"Sun Mon Tue Wed Thu Fri Sat".split(" "),amPm:["am","pm"],hours:"Hour",minutes:"Minute",seconds:"Second",unknown:"-",today:"Today"},maxDate:null,minDate:null,minutesAvailable:null,minutesIncrement:1,strict:!0,locale:"en",
+onChange:function(){},secondsAvailable:null,secondsIncrement:1,showWeekNumber:!1,yearRange:25};q.version="1.1.2";f.DateTime||(f.DateTime=q);d.fn.dtDateTime=function(a){return this.each(function(){new q(this,a)})};d.fn.dataTable&&(d.fn.dataTable.DateTime=q,d.fn.DataTable.DateTime=q,d.fn.dataTable.Editor&&(d.fn.dataTable.Editor.DateTime=q));return q});
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/SearchBuilder/css/searchBuilder.bootstrap.min.css
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/SearchBuilder/css/searchBuilder.bootstrap.min.css	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/SearchBuilder/css/searchBuilder.bootstrap.min.css	(revision 3761)
@@ -0,0 +1 @@
+div.dt-button-collection{overflow:visible !important;z-index:2002 !important}div.dt-button-collection div.dtsb-searchBuilder{width:99% !important;padding-left:10px !important;padding-right:10px !important}div.dt-button-collection.dtb-collection-closeable div.dtsb-titleRow{padding-right:40px}.dtsb-greyscale{border:1px solid #cecece !important}div.dtsb-logicContainer .dtsb-greyscale{border:none !important}div.dtsb-searchBuilder{justify-content:space-evenly;cursor:default;margin-bottom:1em;text-align:left}div.dtsb-searchBuilder button.dtsb-button,div.dtsb-searchBuilder select{font-size:1em}div.dtsb-searchBuilder div.dtsb-titleRow{justify-content:space-evenly;margin-bottom:.5em}div.dtsb-searchBuilder div.dtsb-titleRow div.dtsb-title{display:inline-block;padding-top:6px}div.dtsb-searchBuilder div.dtsb-titleRow div.dtsb-title:empty{display:inline}div.dtsb-searchBuilder div.dtsb-titleRow button.dtsb-clearAll{float:right;margin-bottom:.333em}div.dtsb-searchBuilder div.dtsb-vertical .dtsb-value,div.dtsb-searchBuilder div.dtsb-vertical .dtsb-data,div.dtsb-searchBuilder div.dtsb-vertical .dtsb-condition{display:block}div.dtsb-searchBuilder div.dtsb-group{position:relative;clear:both;margin-bottom:.8em}div.dtsb-searchBuilder div.dtsb-group button.dtsb-clearGroup{margin:2px;text-align:center;padding:0}div.dtsb-searchBuilder div.dtsb-group div.dtsb-logicContainer{-webkit-transform:rotate(90deg);-moz-transform:rotate(90deg);-o-transform:rotate(90deg);-ms-transform:rotate(90deg);transform:rotate(90deg);position:absolute;margin-top:.8em;margin-right:.8em}div.dtsb-searchBuilder div.dtsb-group div.dtsb-criteria{margin-bottom:.8em;display:flex;justify-content:start;flex-flow:row wrap}div.dtsb-searchBuilder div.dtsb-group div.dtsb-criteria select.dtsb-dropDown,div.dtsb-searchBuilder div.dtsb-group div.dtsb-criteria input.dtsb-input{padding:.4em;margin-right:.8em;min-width:5em;max-width:20em;background-color:rgba(200, 200, 200, 0.3)}div.dtsb-searchBuilder div.dtsb-group div.dtsb-criteria select.dtsb-dropDown option.dtsb-notItalic,div.dtsb-searchBuilder div.dtsb-group div.dtsb-criteria input.dtsb-input option.dtsb-notItalic{font-style:normal}div.dtsb-searchBuilder div.dtsb-group div.dtsb-criteria select.dtsb-italic{font-style:italic}div.dtsb-searchBuilder div.dtsb-group div.dtsb-criteria div.dtsb-inputCont{flex:1;white-space:nowrap}div.dtsb-searchBuilder div.dtsb-group div.dtsb-criteria div.dtsb-inputCont span.dtsp-joiner{margin-right:.8em}div.dtsb-searchBuilder div.dtsb-group div.dtsb-criteria div.dtsb-inputCont input.dtsb-value{width:33%}div.dtsb-searchBuilder div.dtsb-group div.dtsb-criteria div.dtsb-buttonContainer{margin-left:auto;display:inline-block}div.dtsb-searchBuilder div.dtsb-group div.dtsb-criteria div.dtsb-buttonContainer button.dtsb-delete,div.dtsb-searchBuilder div.dtsb-group div.dtsb-criteria div.dtsb-buttonContainer button.dtsb-right,div.dtsb-searchBuilder div.dtsb-group div.dtsb-criteria div.dtsb-buttonContainer button.dtsb-left{margin-right:.8em}div.dtsb-searchBuilder div.dtsb-group div.dtsb-criteria div.dtsb-buttonContainer button.dtsb-delete:last-child,div.dtsb-searchBuilder div.dtsb-group div.dtsb-criteria div.dtsb-buttonContainer button.dtsb-right:last-child,div.dtsb-searchBuilder div.dtsb-group div.dtsb-criteria div.dtsb-buttonContainer button.dtsb-left:last-child{margin-right:0}@media screen and (max-width: 550px){div.dtsb-searchBuilder div.dtsb-group div.dtsb-criteria{display:flex;flex-flow:none;flex-direction:column;justify-content:start;padding-right:calc(35px + .8em);margin-bottom:0px}div.dtsb-searchBuilder div.dtsb-group div.dtsb-criteria:not(:first-child),div.dtsb-searchBuilder div.dtsb-group div.dtsb-criteria:not(:nth-child(2)),div.dtsb-searchBuilder div.dtsb-group div.dtsb-criteria:not(:last-child){padding-top:.8em}div.dtsb-searchBuilder div.dtsb-group div.dtsb-criteria:first-child,div.dtsb-searchBuilder div.dtsb-group div.dtsb-criteria:nth-child(2),div.dtsb-searchBuilder div.dtsb-group div.dtsb-criteria:last-child{padding-top:0em}div.dtsb-searchBuilder div.dtsb-group div.dtsb-criteria select.dtsb-dropDown,div.dtsb-searchBuilder div.dtsb-group div.dtsb-criteria input.dtsb-input{max-width:none;width:100%;margin-bottom:.8em;margin-right:.8em}div.dtsb-searchBuilder div.dtsb-group div.dtsb-criteria div.dtsb-inputCont{margin-right:.8em}div.dtsb-searchBuilder div.dtsb-group div.dtsb-criteria div.dtsb-buttonContainer{position:absolute;width:35px;display:flex;flex-wrap:wrap-reverse;right:0}div.dtsb-searchBuilder div.dtsb-group div.dtsb-criteria div.dtsb-buttonContainer button{margin-right:0px !important}}div.dtsb-searchBuilder div.dtsb-titleRow{height:40px}div.dtsb-searchBuilder div.dtsb-titleRow div.dtsb-title{padding-top:10px}div.dtsb-searchBuilder div.dtsb-group div.dtsb-logicContainer{border:1px solid #ccc;border-radius:4px;display:flex;flex-direction:row;flex-wrap:wrap;justify-content:flex-start;align-content:flex-start;align-items:flex-start;margin-top:.8em}div.dtsb-searchBuilder div.dtsb-group div.dtsb-logicContainer button.dtsb-logic{border:none;border-radius:0px;flex-grow:1;flex-shrink:0;flex-basis:3em;margin:0px;padding:6px 9px}div.dtsb-searchBuilder div.dtsb-group div.dtsb-logicContainer button.dtsb-clearGroup{border:none;border-radius:0px;min-width:2em;margin:0px}div.dtsb-searchBuilder div.dtsb-group div.dtsb-criteria select.dtsb-condition{border-color:#4cae4c}div.dtsb-searchBuilder div.dtsb-group div.dtsb-criteria select.dtsb-data{border-color:#d43f3a}div.dtsb-searchBuilder div.dtsb-group div.dtsb-criteria select.dtsb-value,div.dtsb-searchBuilder div.dtsb-group div.dtsb-criteria input.dtsb-value{border-color:#2e6da4}
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/SearchBuilder/css/searchBuilder.jqueryui.min.css
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/SearchBuilder/css/searchBuilder.jqueryui.min.css	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/SearchBuilder/css/searchBuilder.jqueryui.min.css	(revision 3761)
@@ -0,0 +1 @@
+div.dt-button-collection{overflow:visible !important;z-index:2002 !important}div.dt-button-collection div.dtsb-searchBuilder{width:99% !important;padding-left:10px !important;padding-right:10px !important}div.dt-button-collection.dtb-collection-closeable div.dtsb-titleRow{padding-right:40px}.dtsb-greyscale{border:1px solid #cecece !important}div.dtsb-logicContainer .dtsb-greyscale{border:none !important}div.dtsb-searchBuilder{justify-content:space-evenly;cursor:default;margin-bottom:1em;text-align:left}div.dtsb-searchBuilder button.dtsb-button,div.dtsb-searchBuilder select{font-size:1em}div.dtsb-searchBuilder div.dtsb-titleRow{justify-content:space-evenly;margin-bottom:.5em}div.dtsb-searchBuilder div.dtsb-titleRow div.dtsb-title{display:inline-block;padding-top:6px}div.dtsb-searchBuilder div.dtsb-titleRow div.dtsb-title:empty{display:inline}div.dtsb-searchBuilder div.dtsb-titleRow button.dtsb-clearAll{float:right;margin-bottom:.333em}div.dtsb-searchBuilder div.dtsb-vertical .dtsb-value,div.dtsb-searchBuilder div.dtsb-vertical .dtsb-data,div.dtsb-searchBuilder div.dtsb-vertical .dtsb-condition{display:block}div.dtsb-searchBuilder div.dtsb-group{position:relative;clear:both;margin-bottom:.8em}div.dtsb-searchBuilder div.dtsb-group button.dtsb-clearGroup{margin:2px;text-align:center;padding:0}div.dtsb-searchBuilder div.dtsb-group div.dtsb-logicContainer{-webkit-transform:rotate(90deg);-moz-transform:rotate(90deg);-o-transform:rotate(90deg);-ms-transform:rotate(90deg);transform:rotate(90deg);position:absolute;margin-top:.8em;margin-right:.8em}div.dtsb-searchBuilder div.dtsb-group div.dtsb-criteria{margin-bottom:.8em;display:flex;justify-content:start;flex-flow:row wrap}div.dtsb-searchBuilder div.dtsb-group div.dtsb-criteria select.dtsb-dropDown,div.dtsb-searchBuilder div.dtsb-group div.dtsb-criteria input.dtsb-input{padding:.4em;margin-right:.8em;min-width:5em;max-width:20em;background-color:rgba(200, 200, 200, 0.3)}div.dtsb-searchBuilder div.dtsb-group div.dtsb-criteria select.dtsb-dropDown option.dtsb-notItalic,div.dtsb-searchBuilder div.dtsb-group div.dtsb-criteria input.dtsb-input option.dtsb-notItalic{font-style:normal}div.dtsb-searchBuilder div.dtsb-group div.dtsb-criteria select.dtsb-italic{font-style:italic}div.dtsb-searchBuilder div.dtsb-group div.dtsb-criteria div.dtsb-inputCont{flex:1;white-space:nowrap}div.dtsb-searchBuilder div.dtsb-group div.dtsb-criteria div.dtsb-inputCont span.dtsp-joiner{margin-right:.8em}div.dtsb-searchBuilder div.dtsb-group div.dtsb-criteria div.dtsb-inputCont input.dtsb-value{width:33%}div.dtsb-searchBuilder div.dtsb-group div.dtsb-criteria div.dtsb-buttonContainer{margin-left:auto;display:inline-block}div.dtsb-searchBuilder div.dtsb-group div.dtsb-criteria div.dtsb-buttonContainer button.dtsb-delete,div.dtsb-searchBuilder div.dtsb-group div.dtsb-criteria div.dtsb-buttonContainer button.dtsb-right,div.dtsb-searchBuilder div.dtsb-group div.dtsb-criteria div.dtsb-buttonContainer button.dtsb-left{margin-right:.8em}div.dtsb-searchBuilder div.dtsb-group div.dtsb-criteria div.dtsb-buttonContainer button.dtsb-delete:last-child,div.dtsb-searchBuilder div.dtsb-group div.dtsb-criteria div.dtsb-buttonContainer button.dtsb-right:last-child,div.dtsb-searchBuilder div.dtsb-group div.dtsb-criteria div.dtsb-buttonContainer button.dtsb-left:last-child{margin-right:0}@media screen and (max-width: 550px){div.dtsb-searchBuilder div.dtsb-group div.dtsb-criteria{display:flex;flex-flow:none;flex-direction:column;justify-content:start;padding-right:calc(35px + .8em);margin-bottom:0px}div.dtsb-searchBuilder div.dtsb-group div.dtsb-criteria:not(:first-child),div.dtsb-searchBuilder div.dtsb-group div.dtsb-criteria:not(:nth-child(2)),div.dtsb-searchBuilder div.dtsb-group div.dtsb-criteria:not(:last-child){padding-top:.8em}div.dtsb-searchBuilder div.dtsb-group div.dtsb-criteria:first-child,div.dtsb-searchBuilder div.dtsb-group div.dtsb-criteria:nth-child(2),div.dtsb-searchBuilder div.dtsb-group div.dtsb-criteria:last-child{padding-top:0em}div.dtsb-searchBuilder div.dtsb-group div.dtsb-criteria select.dtsb-dropDown,div.dtsb-searchBuilder div.dtsb-group div.dtsb-criteria input.dtsb-input{max-width:none;width:100%;margin-bottom:.8em;margin-right:.8em}div.dtsb-searchBuilder div.dtsb-group div.dtsb-criteria div.dtsb-inputCont{margin-right:.8em}div.dtsb-searchBuilder div.dtsb-group div.dtsb-criteria div.dtsb-buttonContainer{position:absolute;width:35px;display:flex;flex-wrap:wrap-reverse;right:0}div.dtsb-searchBuilder div.dtsb-group div.dtsb-criteria div.dtsb-buttonContainer button{margin-right:0px !important}}div.dtsb-searchBuilder div.dtsb-group div.dtsb-criteria select{width:auto !important}div.dtsb-searchBuilder div.dtsb-group div.dtsb-criteria select.dtsb-condition{border-color:#48b13c}div.dtsb-searchBuilder div.dtsb-group div.dtsb-criteria select.dtsb-data{border-color:#e70f00}div.dtsb-searchBuilder div.dtsb-group div.dtsb-criteria select.dtsb-value,div.dtsb-searchBuilder div.dtsb-group div.dtsb-criteria input.dtsb-value{border-color:#0069ba}div.dtsb-searchBuilder div.dtsb-group button.dtsb-button{min-width:2em}div.dtsb-searchBuilder div.dtsb-group div.dtsb-logicContainer{border-radius:3px;border:solid 1px #c5c5c5;display:flex;flex-direction:row;flex-wrap:wrap;justify-content:flex-start;align-content:flex-start;align-items:flex-start;margin-top:10px}div.dtsb-searchBuilder div.dtsb-group div.dtsb-logicContainer button.dtsb-logic{border:none;border-radius:0px;flex-grow:1;flex-shrink:0;flex-basis:2.5em;margin:0px}div.dtsb-searchBuilder div.dtsb-group div.dtsb-logicContainer button.dtsb-clearGroup{border:none;border-radius:0px;width:2em;margin:0px}
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/SearchBuilder/css/searchBuilder.bulma.min.css
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/SearchBuilder/css/searchBuilder.bulma.min.css	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/SearchBuilder/css/searchBuilder.bulma.min.css	(revision 3761)
@@ -0,0 +1 @@
+div.dt-button-collection{overflow:visible !important;z-index:2002 !important}div.dt-button-collection div.dtsb-searchBuilder{width:99% !important;padding-left:10px !important;padding-right:10px !important}div.dt-button-collection.dtb-collection-closeable div.dtsb-titleRow{padding-right:40px}.dtsb-greyscale{border:1px solid #cecece !important}div.dtsb-logicContainer .dtsb-greyscale{border:none !important}div.dtsb-searchBuilder{justify-content:space-evenly;cursor:default;margin-bottom:1em;text-align:left}div.dtsb-searchBuilder button.dtsb-button,div.dtsb-searchBuilder select{font-size:1em}div.dtsb-searchBuilder div.dtsb-titleRow{justify-content:space-evenly;margin-bottom:.5em}div.dtsb-searchBuilder div.dtsb-titleRow div.dtsb-title{display:inline-block;padding-top:6px}div.dtsb-searchBuilder div.dtsb-titleRow div.dtsb-title:empty{display:inline}div.dtsb-searchBuilder div.dtsb-titleRow button.dtsb-clearAll{float:right;margin-bottom:.333em}div.dtsb-searchBuilder div.dtsb-vertical .dtsb-value,div.dtsb-searchBuilder div.dtsb-vertical .dtsb-data,div.dtsb-searchBuilder div.dtsb-vertical .dtsb-condition{display:block}div.dtsb-searchBuilder div.dtsb-group{position:relative;clear:both;margin-bottom:.8em}div.dtsb-searchBuilder div.dtsb-group button.dtsb-clearGroup{margin:2px;text-align:center;padding:0}div.dtsb-searchBuilder div.dtsb-group div.dtsb-logicContainer{-webkit-transform:rotate(90deg);-moz-transform:rotate(90deg);-o-transform:rotate(90deg);-ms-transform:rotate(90deg);transform:rotate(90deg);position:absolute;margin-top:.8em;margin-right:.8em}div.dtsb-searchBuilder div.dtsb-group div.dtsb-criteria{margin-bottom:.8em;display:flex;justify-content:start;flex-flow:row wrap}div.dtsb-searchBuilder div.dtsb-group div.dtsb-criteria select.dtsb-dropDown,div.dtsb-searchBuilder div.dtsb-group div.dtsb-criteria input.dtsb-input{padding:.4em;margin-right:.8em;min-width:5em;max-width:20em;background-color:rgba(200, 200, 200, 0.3)}div.dtsb-searchBuilder div.dtsb-group div.dtsb-criteria select.dtsb-dropDown option.dtsb-notItalic,div.dtsb-searchBuilder div.dtsb-group div.dtsb-criteria input.dtsb-input option.dtsb-notItalic{font-style:normal}div.dtsb-searchBuilder div.dtsb-group div.dtsb-criteria select.dtsb-italic{font-style:italic}div.dtsb-searchBuilder div.dtsb-group div.dtsb-criteria div.dtsb-inputCont{flex:1;white-space:nowrap}div.dtsb-searchBuilder div.dtsb-group div.dtsb-criteria div.dtsb-inputCont span.dtsp-joiner{margin-right:.8em}div.dtsb-searchBuilder div.dtsb-group div.dtsb-criteria div.dtsb-inputCont input.dtsb-value{width:33%}div.dtsb-searchBuilder div.dtsb-group div.dtsb-criteria div.dtsb-buttonContainer{margin-left:auto;display:inline-block}div.dtsb-searchBuilder div.dtsb-group div.dtsb-criteria div.dtsb-buttonContainer button.dtsb-delete,div.dtsb-searchBuilder div.dtsb-group div.dtsb-criteria div.dtsb-buttonContainer button.dtsb-right,div.dtsb-searchBuilder div.dtsb-group div.dtsb-criteria div.dtsb-buttonContainer button.dtsb-left{margin-right:.8em}div.dtsb-searchBuilder div.dtsb-group div.dtsb-criteria div.dtsb-buttonContainer button.dtsb-delete:last-child,div.dtsb-searchBuilder div.dtsb-group div.dtsb-criteria div.dtsb-buttonContainer button.dtsb-right:last-child,div.dtsb-searchBuilder div.dtsb-group div.dtsb-criteria div.dtsb-buttonContainer button.dtsb-left:last-child{margin-right:0}@media screen and (max-width: 550px){div.dtsb-searchBuilder div.dtsb-group div.dtsb-criteria{display:flex;flex-flow:none;flex-direction:column;justify-content:start;padding-right:calc(35px + .8em);margin-bottom:0px}div.dtsb-searchBuilder div.dtsb-group div.dtsb-criteria:not(:first-child),div.dtsb-searchBuilder div.dtsb-group div.dtsb-criteria:not(:nth-child(2)),div.dtsb-searchBuilder div.dtsb-group div.dtsb-criteria:not(:last-child){padding-top:.8em}div.dtsb-searchBuilder div.dtsb-group div.dtsb-criteria:first-child,div.dtsb-searchBuilder div.dtsb-group div.dtsb-criteria:nth-child(2),div.dtsb-searchBuilder div.dtsb-group div.dtsb-criteria:last-child{padding-top:0em}div.dtsb-searchBuilder div.dtsb-group div.dtsb-criteria select.dtsb-dropDown,div.dtsb-searchBuilder div.dtsb-group div.dtsb-criteria input.dtsb-input{max-width:none;width:100%;margin-bottom:.8em;margin-right:.8em}div.dtsb-searchBuilder div.dtsb-group div.dtsb-criteria div.dtsb-inputCont{margin-right:.8em}div.dtsb-searchBuilder div.dtsb-group div.dtsb-criteria div.dtsb-buttonContainer{position:absolute;width:35px;display:flex;flex-wrap:wrap-reverse;right:0}div.dtsb-searchBuilder div.dtsb-group div.dtsb-criteria div.dtsb-buttonContainer button{margin-right:0px !important}}div.dtsb-searchBuilder div.dtsb-titleRow{margin-bottom:1.5em}div.dtsb-searchBuilder div.dtsb-group button.dtsb-clearGroup{margin-right:8px}div.dtsb-searchBuilder div.dtsb-group div.dtsb-criteria select.dtsb-dropDown{height:2.5em;border-radius:.375em;background-color:#fff;padding-right:2.5em}div.dtsb-searchBuilder div.dtsb-group div.dtsb-criteria select.dtsb-condition{border-color:#48c78e}div.dtsb-searchBuilder div.dtsb-group div.dtsb-criteria select.dtsb-data{border-color:#ef2e55}div.dtsb-searchBuilder div.dtsb-group div.dtsb-criteria select.dtsb-value,div.dtsb-searchBuilder div.dtsb-group div.dtsb-criteria input.dtsb-value{border-color:#3e8ed0}div.dtsb-searchBuilder div.dtsb-group div.dtsb-logicContainer{border-radius:4px;display:flex;flex-direction:row;flex-wrap:wrap;justify-content:flex-start;align-content:flex-start;align-items:flex-start;margin-top:10px;overflow:hidden}div.dtsb-searchBuilder div.dtsb-group div.dtsb-logicContainer button.dtsb-logic{border:none;border-radius:0px;flex-grow:1;flex-shrink:0;flex-basis:3em;margin:0px;padding:.375rem 0rem}div.dtsb-searchBuilder div.dtsb-group div.dtsb-logicContainer button.dtsb-clearGroup{border:none;border-radius:0px;width:2em;margin:0px}div.dt-button-collection div.dtsb-searchBuilder{padding-left:10px;padding-right:10px}
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/SearchBuilder/css/searchBuilder.bootstrap4.min.css
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/SearchBuilder/css/searchBuilder.bootstrap4.min.css	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/SearchBuilder/css/searchBuilder.bootstrap4.min.css	(revision 3761)
@@ -0,0 +1 @@
+div.dt-button-collection{overflow:visible !important;z-index:2002 !important}div.dt-button-collection div.dtsb-searchBuilder{width:99% !important;padding-left:10px !important;padding-right:10px !important}div.dt-button-collection.dtb-collection-closeable div.dtsb-titleRow{padding-right:40px}.dtsb-greyscale{border:1px solid #cecece !important}div.dtsb-logicContainer .dtsb-greyscale{border:none !important}div.dtsb-searchBuilder{justify-content:space-evenly;cursor:default;margin-bottom:1em;text-align:left}div.dtsb-searchBuilder button.dtsb-button,div.dtsb-searchBuilder select{font-size:1em}div.dtsb-searchBuilder div.dtsb-titleRow{justify-content:space-evenly;margin-bottom:.5em}div.dtsb-searchBuilder div.dtsb-titleRow div.dtsb-title{display:inline-block;padding-top:6px}div.dtsb-searchBuilder div.dtsb-titleRow div.dtsb-title:empty{display:inline}div.dtsb-searchBuilder div.dtsb-titleRow button.dtsb-clearAll{float:right;margin-bottom:.333em}div.dtsb-searchBuilder div.dtsb-vertical .dtsb-value,div.dtsb-searchBuilder div.dtsb-vertical .dtsb-data,div.dtsb-searchBuilder div.dtsb-vertical .dtsb-condition{display:block}div.dtsb-searchBuilder div.dtsb-group{position:relative;clear:both;margin-bottom:.8em}div.dtsb-searchBuilder div.dtsb-group button.dtsb-clearGroup{margin:2px;text-align:center;padding:0}div.dtsb-searchBuilder div.dtsb-group div.dtsb-logicContainer{-webkit-transform:rotate(90deg);-moz-transform:rotate(90deg);-o-transform:rotate(90deg);-ms-transform:rotate(90deg);transform:rotate(90deg);position:absolute;margin-top:.8em;margin-right:.8em}div.dtsb-searchBuilder div.dtsb-group div.dtsb-criteria{margin-bottom:.8em;display:flex;justify-content:start;flex-flow:row wrap}div.dtsb-searchBuilder div.dtsb-group div.dtsb-criteria select.dtsb-dropDown,div.dtsb-searchBuilder div.dtsb-group div.dtsb-criteria input.dtsb-input{padding:.4em;margin-right:.8em;min-width:5em;max-width:20em;background-color:rgba(200, 200, 200, 0.3)}div.dtsb-searchBuilder div.dtsb-group div.dtsb-criteria select.dtsb-dropDown option.dtsb-notItalic,div.dtsb-searchBuilder div.dtsb-group div.dtsb-criteria input.dtsb-input option.dtsb-notItalic{font-style:normal}div.dtsb-searchBuilder div.dtsb-group div.dtsb-criteria select.dtsb-italic{font-style:italic}div.dtsb-searchBuilder div.dtsb-group div.dtsb-criteria div.dtsb-inputCont{flex:1;white-space:nowrap}div.dtsb-searchBuilder div.dtsb-group div.dtsb-criteria div.dtsb-inputCont span.dtsp-joiner{margin-right:.8em}div.dtsb-searchBuilder div.dtsb-group div.dtsb-criteria div.dtsb-inputCont input.dtsb-value{width:33%}div.dtsb-searchBuilder div.dtsb-group div.dtsb-criteria div.dtsb-buttonContainer{margin-left:auto;display:inline-block}div.dtsb-searchBuilder div.dtsb-group div.dtsb-criteria div.dtsb-buttonContainer button.dtsb-delete,div.dtsb-searchBuilder div.dtsb-group div.dtsb-criteria div.dtsb-buttonContainer button.dtsb-right,div.dtsb-searchBuilder div.dtsb-group div.dtsb-criteria div.dtsb-buttonContainer button.dtsb-left{margin-right:.8em}div.dtsb-searchBuilder div.dtsb-group div.dtsb-criteria div.dtsb-buttonContainer button.dtsb-delete:last-child,div.dtsb-searchBuilder div.dtsb-group div.dtsb-criteria div.dtsb-buttonContainer button.dtsb-right:last-child,div.dtsb-searchBuilder div.dtsb-group div.dtsb-criteria div.dtsb-buttonContainer button.dtsb-left:last-child{margin-right:0}@media screen and (max-width: 550px){div.dtsb-searchBuilder div.dtsb-group div.dtsb-criteria{display:flex;flex-flow:none;flex-direction:column;justify-content:start;padding-right:calc(35px + .8em);margin-bottom:0px}div.dtsb-searchBuilder div.dtsb-group div.dtsb-criteria:not(:first-child),div.dtsb-searchBuilder div.dtsb-group div.dtsb-criteria:not(:nth-child(2)),div.dtsb-searchBuilder div.dtsb-group div.dtsb-criteria:not(:last-child){padding-top:.8em}div.dtsb-searchBuilder div.dtsb-group div.dtsb-criteria:first-child,div.dtsb-searchBuilder div.dtsb-group div.dtsb-criteria:nth-child(2),div.dtsb-searchBuilder div.dtsb-group div.dtsb-criteria:last-child{padding-top:0em}div.dtsb-searchBuilder div.dtsb-group div.dtsb-criteria select.dtsb-dropDown,div.dtsb-searchBuilder div.dtsb-group div.dtsb-criteria input.dtsb-input{max-width:none;width:100%;margin-bottom:.8em;margin-right:.8em}div.dtsb-searchBuilder div.dtsb-group div.dtsb-criteria div.dtsb-inputCont{margin-right:.8em}div.dtsb-searchBuilder div.dtsb-group div.dtsb-criteria div.dtsb-buttonContainer{position:absolute;width:35px;display:flex;flex-wrap:wrap-reverse;right:0}div.dtsb-searchBuilder div.dtsb-group div.dtsb-criteria div.dtsb-buttonContainer button{margin-right:0px !important}}div.dtsb-searchBuilder div.dtsb-titleRow{height:40px}div.dtsb-searchBuilder div.dtsb-titleRow div.dtsb-title{padding-top:10px}div.dtsb-searchBuilder div.dtsb-group button.dtsb-clearGroup{margin-right:8px}div.dtsb-searchBuilder div.dtsb-group div.dtsb-criteria .form-control{width:auto;display:inline-block}div.dtsb-searchBuilder div.dtsb-group div.dtsb-criteria select.dtsb-condition{border-color:#28a745}div.dtsb-searchBuilder div.dtsb-group div.dtsb-criteria select.dtsb-data{border-color:#dc3545}div.dtsb-searchBuilder div.dtsb-group div.dtsb-criteria select.dtsb-value,div.dtsb-searchBuilder div.dtsb-group div.dtsb-criteria input.dtsb-value{border-color:#007bff}div.dtsb-searchBuilder div.dtsb-group div.dtsb-logicContainer{border-radius:4px;display:flex;flex-direction:row;flex-wrap:wrap;justify-content:flex-start;align-content:flex-start;align-items:flex-start;margin-top:10px}div.dtsb-searchBuilder div.dtsb-group div.dtsb-logicContainer button.dtsb-logic{border:none;border-radius:0px;flex-grow:1;flex-shrink:0;flex-basis:3em;margin:0px}div.dtsb-searchBuilder div.dtsb-group div.dtsb-logicContainer button.dtsb-clearGroup{border:none;border-radius:0px;width:2em;margin:0px}div.dt-button-collection div.dtsb-searchBuilder{padding-left:10px;padding-right:10px}
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/SearchBuilder/css/searchBuilder.semanticui.min.css
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/SearchBuilder/css/searchBuilder.semanticui.min.css	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/SearchBuilder/css/searchBuilder.semanticui.min.css	(revision 3761)
@@ -0,0 +1 @@
+div.dt-button-collection{overflow:visible !important;z-index:2002 !important}div.dt-button-collection div.dtsb-searchBuilder{width:99% !important;padding-left:10px !important;padding-right:10px !important}div.dt-button-collection.dtb-collection-closeable div.dtsb-titleRow{padding-right:40px}.dtsb-greyscale{border:1px solid #cecece !important}div.dtsb-logicContainer .dtsb-greyscale{border:none !important}div.dtsb-searchBuilder{justify-content:space-evenly;cursor:default;margin-bottom:1em;text-align:left}div.dtsb-searchBuilder button.dtsb-button,div.dtsb-searchBuilder select{font-size:1em}div.dtsb-searchBuilder div.dtsb-titleRow{justify-content:space-evenly;margin-bottom:.5em}div.dtsb-searchBuilder div.dtsb-titleRow div.dtsb-title{display:inline-block;padding-top:6px}div.dtsb-searchBuilder div.dtsb-titleRow div.dtsb-title:empty{display:inline}div.dtsb-searchBuilder div.dtsb-titleRow button.dtsb-clearAll{float:right;margin-bottom:.333em}div.dtsb-searchBuilder div.dtsb-vertical .dtsb-value,div.dtsb-searchBuilder div.dtsb-vertical .dtsb-data,div.dtsb-searchBuilder div.dtsb-vertical .dtsb-condition{display:block}div.dtsb-searchBuilder div.dtsb-group{position:relative;clear:both;margin-bottom:.8em}div.dtsb-searchBuilder div.dtsb-group button.dtsb-clearGroup{margin:2px;text-align:center;padding:0}div.dtsb-searchBuilder div.dtsb-group div.dtsb-logicContainer{-webkit-transform:rotate(90deg);-moz-transform:rotate(90deg);-o-transform:rotate(90deg);-ms-transform:rotate(90deg);transform:rotate(90deg);position:absolute;margin-top:.8em;margin-right:.8em}div.dtsb-searchBuilder div.dtsb-group div.dtsb-criteria{margin-bottom:.8em;display:flex;justify-content:start;flex-flow:row wrap}div.dtsb-searchBuilder div.dtsb-group div.dtsb-criteria select.dtsb-dropDown,div.dtsb-searchBuilder div.dtsb-group div.dtsb-criteria input.dtsb-input{padding:.4em;margin-right:.8em;min-width:5em;max-width:20em;background-color:rgba(200, 200, 200, 0.3)}div.dtsb-searchBuilder div.dtsb-group div.dtsb-criteria select.dtsb-dropDown option.dtsb-notItalic,div.dtsb-searchBuilder div.dtsb-group div.dtsb-criteria input.dtsb-input option.dtsb-notItalic{font-style:normal}div.dtsb-searchBuilder div.dtsb-group div.dtsb-criteria select.dtsb-italic{font-style:italic}div.dtsb-searchBuilder div.dtsb-group div.dtsb-criteria div.dtsb-inputCont{flex:1;white-space:nowrap}div.dtsb-searchBuilder div.dtsb-group div.dtsb-criteria div.dtsb-inputCont span.dtsp-joiner{margin-right:.8em}div.dtsb-searchBuilder div.dtsb-group div.dtsb-criteria div.dtsb-inputCont input.dtsb-value{width:33%}div.dtsb-searchBuilder div.dtsb-group div.dtsb-criteria div.dtsb-buttonContainer{margin-left:auto;display:inline-block}div.dtsb-searchBuilder div.dtsb-group div.dtsb-criteria div.dtsb-buttonContainer button.dtsb-delete,div.dtsb-searchBuilder div.dtsb-group div.dtsb-criteria div.dtsb-buttonContainer button.dtsb-right,div.dtsb-searchBuilder div.dtsb-group div.dtsb-criteria div.dtsb-buttonContainer button.dtsb-left{margin-right:.8em}div.dtsb-searchBuilder div.dtsb-group div.dtsb-criteria div.dtsb-buttonContainer button.dtsb-delete:last-child,div.dtsb-searchBuilder div.dtsb-group div.dtsb-criteria div.dtsb-buttonContainer button.dtsb-right:last-child,div.dtsb-searchBuilder div.dtsb-group div.dtsb-criteria div.dtsb-buttonContainer button.dtsb-left:last-child{margin-right:0}@media screen and (max-width: 550px){div.dtsb-searchBuilder div.dtsb-group div.dtsb-criteria{display:flex;flex-flow:none;flex-direction:column;justify-content:start;padding-right:calc(35px + .8em);margin-bottom:0px}div.dtsb-searchBuilder div.dtsb-group div.dtsb-criteria:not(:first-child),div.dtsb-searchBuilder div.dtsb-group div.dtsb-criteria:not(:nth-child(2)),div.dtsb-searchBuilder div.dtsb-group div.dtsb-criteria:not(:last-child){padding-top:.8em}div.dtsb-searchBuilder div.dtsb-group div.dtsb-criteria:first-child,div.dtsb-searchBuilder div.dtsb-group div.dtsb-criteria:nth-child(2),div.dtsb-searchBuilder div.dtsb-group div.dtsb-criteria:last-child{padding-top:0em}div.dtsb-searchBuilder div.dtsb-group div.dtsb-criteria select.dtsb-dropDown,div.dtsb-searchBuilder div.dtsb-group div.dtsb-criteria input.dtsb-input{max-width:none;width:100%;margin-bottom:.8em;margin-right:.8em}div.dtsb-searchBuilder div.dtsb-group div.dtsb-criteria div.dtsb-inputCont{margin-right:.8em}div.dtsb-searchBuilder div.dtsb-group div.dtsb-criteria div.dtsb-buttonContainer{position:absolute;width:35px;display:flex;flex-wrap:wrap-reverse;right:0}div.dtsb-searchBuilder div.dtsb-group div.dtsb-criteria div.dtsb-buttonContainer button{margin-right:0px !important}}div.dt-button-collection{border:1px solid rgba(34, 36, 38, 0.15);border-radius:4px}div.dt-button-collection div.dtsb-searchBuilder{margin:10px}div.dt-button-collection div.dtsb-searchBuilder div.dtsb-titleRow{font-size:13.33px}div.dt-button-collection div.dtsb-searchBuilder div.dtsb-titleRow button.dtsb-clearAll{border:none;border-radius:4px}div.dt-button-collection div.dtsb-searchBuilder select.ui.dropdown{font-size:13.33px}div.dt-button-collection div.dtsb-searchBuilder div.dtsb-logicContainer{margin-top:10px !important;border:1px solid rgba(34, 36, 38, 0.15);border-radius:4px}div.dt-button-collection div.dtsb-searchBuilder div.dtsb-criteria,div.dt-button-collection div.dtsb-searchBuilder div.dtsb-group{margin-bottom:10px !important}div.dtsb-searchBuilder button.dtsb-button{padding-top:5px;padding-left:5px;padding-right:5px;padding-bottom:5px;min-width:30px;min-height:30px}div.dtsb-searchBuilder div.dtsb-titleRow{margin-bottom:1em}div.dtsb-searchBuilder div.dtsb-titleRow button.dtsb-clearAll{margin-bottom:0px}div.dtsb-searchBuilder div.dtsb-group div.dtsb-criteria select{width:auto !important;background-color:transparent !important}div.dtsb-searchBuilder div.dtsb-group div.dtsb-criteria select.dtsb-condition{border-color:#21ba45}div.dtsb-searchBuilder div.dtsb-group div.dtsb-criteria select.dtsb-data{border-color:#db2828}div.dtsb-searchBuilder div.dtsb-group div.dtsb-criteria select.dtsb-value,div.dtsb-searchBuilder div.dtsb-group div.dtsb-criteria input.dtsb-value{border-color:#2185d0}div.dtsb-searchBuilder div.dtsb-group button.ui.button{border-radius:4px}div.dtsb-searchBuilder div.dtsb-group div.dtsb-logicContainer{border-radius:4px;display:flex;flex-direction:row;flex-wrap:wrap;justify-content:flex-start;align-content:flex-start;align-items:flex-start;margin-top:.8em}div.dtsb-searchBuilder div.dtsb-group div.dtsb-logicContainer button.dtsb-logic{border:none;border-radius:0px;border-top-left-radius:4px;border-bottom-left-radius:4px;flex-grow:1;flex-shrink:0;flex-basis:2.5em;margin:0px}div.dtsb-searchBuilder div.dtsb-group div.dtsb-logicContainer button.dtsb-clearGroup{border:none;border-radius:0px;border-top-right-radius:4px;border-bottom-right-radius:4px;flex-grow:0;width:2em;margin:0px}
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/SearchBuilder/css/searchBuilder.bootstrap5.min.css
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/SearchBuilder/css/searchBuilder.bootstrap5.min.css	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/SearchBuilder/css/searchBuilder.bootstrap5.min.css	(revision 3761)
@@ -0,0 +1 @@
+div.dt-button-collection{overflow:visible !important;z-index:2002 !important}div.dt-button-collection div.dtsb-searchBuilder{width:99% !important;padding-left:10px !important;padding-right:10px !important}div.dt-button-collection.dtb-collection-closeable div.dtsb-titleRow{padding-right:40px}.dtsb-greyscale{border:1px solid #cecece !important}div.dtsb-logicContainer .dtsb-greyscale{border:none !important}div.dtsb-searchBuilder{justify-content:space-evenly;cursor:default;margin-bottom:1em;text-align:left}div.dtsb-searchBuilder button.dtsb-button,div.dtsb-searchBuilder select{font-size:1em}div.dtsb-searchBuilder div.dtsb-titleRow{justify-content:space-evenly;margin-bottom:.5em}div.dtsb-searchBuilder div.dtsb-titleRow div.dtsb-title{display:inline-block;padding-top:6px}div.dtsb-searchBuilder div.dtsb-titleRow div.dtsb-title:empty{display:inline}div.dtsb-searchBuilder div.dtsb-titleRow button.dtsb-clearAll{float:right;margin-bottom:.333em}div.dtsb-searchBuilder div.dtsb-vertical .dtsb-value,div.dtsb-searchBuilder div.dtsb-vertical .dtsb-data,div.dtsb-searchBuilder div.dtsb-vertical .dtsb-condition{display:block}div.dtsb-searchBuilder div.dtsb-group{position:relative;clear:both;margin-bottom:.8em}div.dtsb-searchBuilder div.dtsb-group button.dtsb-clearGroup{margin:2px;text-align:center;padding:0}div.dtsb-searchBuilder div.dtsb-group div.dtsb-logicContainer{-webkit-transform:rotate(90deg);-moz-transform:rotate(90deg);-o-transform:rotate(90deg);-ms-transform:rotate(90deg);transform:rotate(90deg);position:absolute;margin-top:.8em;margin-right:.8em}div.dtsb-searchBuilder div.dtsb-group div.dtsb-criteria{margin-bottom:.8em;display:flex;justify-content:start;flex-flow:row wrap}div.dtsb-searchBuilder div.dtsb-group div.dtsb-criteria select.dtsb-dropDown,div.dtsb-searchBuilder div.dtsb-group div.dtsb-criteria input.dtsb-input{padding:.4em;margin-right:.8em;min-width:5em;max-width:20em;background-color:rgba(200, 200, 200, 0.3)}div.dtsb-searchBuilder div.dtsb-group div.dtsb-criteria select.dtsb-dropDown option.dtsb-notItalic,div.dtsb-searchBuilder div.dtsb-group div.dtsb-criteria input.dtsb-input option.dtsb-notItalic{font-style:normal}div.dtsb-searchBuilder div.dtsb-group div.dtsb-criteria select.dtsb-italic{font-style:italic}div.dtsb-searchBuilder div.dtsb-group div.dtsb-criteria div.dtsb-inputCont{flex:1;white-space:nowrap}div.dtsb-searchBuilder div.dtsb-group div.dtsb-criteria div.dtsb-inputCont span.dtsp-joiner{margin-right:.8em}div.dtsb-searchBuilder div.dtsb-group div.dtsb-criteria div.dtsb-inputCont input.dtsb-value{width:33%}div.dtsb-searchBuilder div.dtsb-group div.dtsb-criteria div.dtsb-buttonContainer{margin-left:auto;display:inline-block}div.dtsb-searchBuilder div.dtsb-group div.dtsb-criteria div.dtsb-buttonContainer button.dtsb-delete,div.dtsb-searchBuilder div.dtsb-group div.dtsb-criteria div.dtsb-buttonContainer button.dtsb-right,div.dtsb-searchBuilder div.dtsb-group div.dtsb-criteria div.dtsb-buttonContainer button.dtsb-left{margin-right:.8em}div.dtsb-searchBuilder div.dtsb-group div.dtsb-criteria div.dtsb-buttonContainer button.dtsb-delete:last-child,div.dtsb-searchBuilder div.dtsb-group div.dtsb-criteria div.dtsb-buttonContainer button.dtsb-right:last-child,div.dtsb-searchBuilder div.dtsb-group div.dtsb-criteria div.dtsb-buttonContainer button.dtsb-left:last-child{margin-right:0}@media screen and (max-width: 550px){div.dtsb-searchBuilder div.dtsb-group div.dtsb-criteria{display:flex;flex-flow:none;flex-direction:column;justify-content:start;padding-right:calc(35px + .8em);margin-bottom:0px}div.dtsb-searchBuilder div.dtsb-group div.dtsb-criteria:not(:first-child),div.dtsb-searchBuilder div.dtsb-group div.dtsb-criteria:not(:nth-child(2)),div.dtsb-searchBuilder div.dtsb-group div.dtsb-criteria:not(:last-child){padding-top:.8em}div.dtsb-searchBuilder div.dtsb-group div.dtsb-criteria:first-child,div.dtsb-searchBuilder div.dtsb-group div.dtsb-criteria:nth-child(2),div.dtsb-searchBuilder div.dtsb-group div.dtsb-criteria:last-child{padding-top:0em}div.dtsb-searchBuilder div.dtsb-group div.dtsb-criteria select.dtsb-dropDown,div.dtsb-searchBuilder div.dtsb-group div.dtsb-criteria input.dtsb-input{max-width:none;width:100%;margin-bottom:.8em;margin-right:.8em}div.dtsb-searchBuilder div.dtsb-group div.dtsb-criteria div.dtsb-inputCont{margin-right:.8em}div.dtsb-searchBuilder div.dtsb-group div.dtsb-criteria div.dtsb-buttonContainer{position:absolute;width:35px;display:flex;flex-wrap:wrap-reverse;right:0}div.dtsb-searchBuilder div.dtsb-group div.dtsb-criteria div.dtsb-buttonContainer button{margin-right:0px !important}}div.dtsb-searchBuilder div.dtsb-titleRow{height:40px}div.dtsb-searchBuilder div.dtsb-titleRow div.dtsb-title{padding-top:10px}div.dtsb-searchBuilder div.dtsb-group button.dtsb-clearGroup{margin-right:8px}div.dtsb-searchBuilder div.dtsb-group div.dtsb-criteria .form-select{width:auto;display:inline-block;padding-right:30px !important}div.dtsb-searchBuilder div.dtsb-group div.dtsb-criteria select.dtsb-condition{border-color:#28a745}div.dtsb-searchBuilder div.dtsb-group div.dtsb-criteria select.dtsb-data{border-color:#dc3545}div.dtsb-searchBuilder div.dtsb-group div.dtsb-criteria select.dtsb-value,div.dtsb-searchBuilder div.dtsb-group div.dtsb-criteria input.dtsb-value{border-color:#007bff}div.dtsb-searchBuilder div.dtsb-group div.dtsb-criteria .form-control{display:inline-block;font-size:1em}div.dtsb-searchBuilder div.dtsb-group div.dtsb-logicContainer{border-radius:4px;display:flex;flex-direction:row;flex-wrap:wrap;justify-content:flex-start;align-content:flex-start;align-items:flex-start;margin-top:10px}div.dtsb-searchBuilder div.dtsb-group div.dtsb-logicContainer button.dtsb-logic{border:none;border-radius:0px;flex-grow:1;flex-shrink:0;flex-basis:3em;margin:0px;padding:.375rem .7rem}div.dtsb-searchBuilder div.dtsb-group div.dtsb-logicContainer button.dtsb-clearGroup{border:none;border-radius:0px;width:2em;margin:0px}div.dt-button-collection div.dtsb-searchBuilder{padding-left:10px;padding-right:10px}
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/SearchBuilder/css/searchBuilder.dataTables.min.css
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/SearchBuilder/css/searchBuilder.dataTables.min.css	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/SearchBuilder/css/searchBuilder.dataTables.min.css	(revision 3761)
@@ -0,0 +1 @@
+div.dt-button-collection{overflow:visible !important;z-index:2002 !important}div.dt-button-collection div.dtsb-searchBuilder{width:99% !important;padding-left:10px !important;padding-right:10px !important}div.dt-button-collection.dtb-collection-closeable div.dtsb-titleRow{padding-right:40px}.dtsb-greyscale{border:1px solid #cecece !important}div.dtsb-logicContainer .dtsb-greyscale{border:none !important}div.dtsb-searchBuilder{justify-content:space-evenly;cursor:default;margin-bottom:1em;text-align:left}div.dtsb-searchBuilder button.dtsb-button,div.dtsb-searchBuilder select{font-size:1em}div.dtsb-searchBuilder div.dtsb-titleRow{justify-content:space-evenly;margin-bottom:.5em}div.dtsb-searchBuilder div.dtsb-titleRow div.dtsb-title{display:inline-block;padding-top:6px}div.dtsb-searchBuilder div.dtsb-titleRow div.dtsb-title:empty{display:inline}div.dtsb-searchBuilder div.dtsb-titleRow button.dtsb-clearAll{float:right;margin-bottom:.333em}div.dtsb-searchBuilder div.dtsb-vertical .dtsb-value,div.dtsb-searchBuilder div.dtsb-vertical .dtsb-data,div.dtsb-searchBuilder div.dtsb-vertical .dtsb-condition{display:block}div.dtsb-searchBuilder div.dtsb-group{position:relative;clear:both;margin-bottom:.8em}div.dtsb-searchBuilder div.dtsb-group button.dtsb-clearGroup{margin:2px;text-align:center;padding:0}div.dtsb-searchBuilder div.dtsb-group div.dtsb-logicContainer{-webkit-transform:rotate(90deg);-moz-transform:rotate(90deg);-o-transform:rotate(90deg);-ms-transform:rotate(90deg);transform:rotate(90deg);position:absolute;margin-top:.8em;margin-right:.8em}div.dtsb-searchBuilder div.dtsb-group div.dtsb-criteria{margin-bottom:.8em;display:flex;justify-content:start;flex-flow:row wrap}div.dtsb-searchBuilder div.dtsb-group div.dtsb-criteria select.dtsb-dropDown,div.dtsb-searchBuilder div.dtsb-group div.dtsb-criteria input.dtsb-input{padding:.4em;margin-right:.8em;min-width:5em;max-width:20em;background-color:rgba(200, 200, 200, 0.3)}div.dtsb-searchBuilder div.dtsb-group div.dtsb-criteria select.dtsb-dropDown option.dtsb-notItalic,div.dtsb-searchBuilder div.dtsb-group div.dtsb-criteria input.dtsb-input option.dtsb-notItalic{font-style:normal}div.dtsb-searchBuilder div.dtsb-group div.dtsb-criteria select.dtsb-italic{font-style:italic}div.dtsb-searchBuilder div.dtsb-group div.dtsb-criteria div.dtsb-inputCont{flex:1;white-space:nowrap}div.dtsb-searchBuilder div.dtsb-group div.dtsb-criteria div.dtsb-inputCont span.dtsp-joiner{margin-right:.8em}div.dtsb-searchBuilder div.dtsb-group div.dtsb-criteria div.dtsb-inputCont input.dtsb-value{width:33%}div.dtsb-searchBuilder div.dtsb-group div.dtsb-criteria div.dtsb-buttonContainer{margin-left:auto;display:inline-block}div.dtsb-searchBuilder div.dtsb-group div.dtsb-criteria div.dtsb-buttonContainer button.dtsb-delete,div.dtsb-searchBuilder div.dtsb-group div.dtsb-criteria div.dtsb-buttonContainer button.dtsb-right,div.dtsb-searchBuilder div.dtsb-group div.dtsb-criteria div.dtsb-buttonContainer button.dtsb-left{margin-right:.8em}div.dtsb-searchBuilder div.dtsb-group div.dtsb-criteria div.dtsb-buttonContainer button.dtsb-delete:last-child,div.dtsb-searchBuilder div.dtsb-group div.dtsb-criteria div.dtsb-buttonContainer button.dtsb-right:last-child,div.dtsb-searchBuilder div.dtsb-group div.dtsb-criteria div.dtsb-buttonContainer button.dtsb-left:last-child{margin-right:0}@media screen and (max-width: 550px){div.dtsb-searchBuilder div.dtsb-group div.dtsb-criteria{display:flex;flex-flow:none;flex-direction:column;justify-content:start;padding-right:calc(35px + .8em);margin-bottom:0px}div.dtsb-searchBuilder div.dtsb-group div.dtsb-criteria:not(:first-child),div.dtsb-searchBuilder div.dtsb-group div.dtsb-criteria:not(:nth-child(2)),div.dtsb-searchBuilder div.dtsb-group div.dtsb-criteria:not(:last-child){padding-top:.8em}div.dtsb-searchBuilder div.dtsb-group div.dtsb-criteria:first-child,div.dtsb-searchBuilder div.dtsb-group div.dtsb-criteria:nth-child(2),div.dtsb-searchBuilder div.dtsb-group div.dtsb-criteria:last-child{padding-top:0em}div.dtsb-searchBuilder div.dtsb-group div.dtsb-criteria select.dtsb-dropDown,div.dtsb-searchBuilder div.dtsb-group div.dtsb-criteria input.dtsb-input{max-width:none;width:100%;margin-bottom:.8em;margin-right:.8em}div.dtsb-searchBuilder div.dtsb-group div.dtsb-criteria div.dtsb-inputCont{margin-right:.8em}div.dtsb-searchBuilder div.dtsb-group div.dtsb-criteria div.dtsb-buttonContainer{position:absolute;width:35px;display:flex;flex-wrap:wrap-reverse;right:0}div.dtsb-searchBuilder div.dtsb-group div.dtsb-criteria div.dtsb-buttonContainer button{margin-right:0px !important}}div.dtsb-searchBuilder button,div.dtsb-searchBuilder select,div.dtsb-searchBuilder input{background-color:#f9f9f9}div.dtsb-searchBuilder button.dtsb-button{position:relative;display:inline-block;box-sizing:border-box;padding:.5em 1em;border:1px solid rgba(0, 0, 0, 0.3);border-radius:2px;cursor:pointer;font-size:.88em;line-height:1.6em;color:black;white-space:nowrap;overflow:hidden;background-color:rgba(0, 0, 0, 0.1);background:linear-gradient(to bottom, rgba(230, 230, 230, 0.1) 0%, rgba(0, 0, 0, 0.1) 100%);-webkit-user-select:none;-moz-user-select:none;-ms-user-select:none;user-select:none;text-decoration:none;outline:none;text-overflow:ellipsis}div.dtsb-searchBuilder button.dtsb-button:hover{background-color:#cecece !important;cursor:pointer}div.dtsb-searchBuilder div.dtsb-logicContainer{border:1px solid rgba(0, 0, 0, 0.3);background-color:rgba(0, 0, 0, 0.1);background:linear-gradient(to right, rgba(230, 230, 230, 0.1) 0%, rgba(0, 0, 0, 0.1) 100%)}div.dtsb-searchBuilder div.dtsb-logicContainer button{border:1px solid transparent;background:transparent}div.dtsb-searchBuilder button.dtsb-clearGroup{min-width:2em;padding:0}div.dtsb-searchBuilder button.dtsb-iptbtn{min-width:100px;text-align:left}div.dtsb-searchBuilder div.dtsb-group div.dtsb-logicContainer{border:1px solid;border-color:#cecece;border-radius:3px;display:flex;flex-direction:row;flex-wrap:wrap;justify-content:flex-start;align-content:flex-start;align-items:flex-start}div.dtsb-searchBuilder div.dtsb-group div.dtsb-logicContainer button.dtsb-logic{border:none;border-radius:0px;flex-grow:1;flex-shrink:0;flex-basis:3em;margin:0px}div.dtsb-searchBuilder div.dtsb-group div.dtsb-logicContainer button.dtsb-clearGroup{border:none;border-radius:0px;width:2em;margin:0px}div.dtsb-searchBuilder div.dtsb-group div.dtsb-criteria select.dtsb-dropDown,div.dtsb-searchBuilder div.dtsb-group div.dtsb-criteria input.dtsb-input{border:1px solid;border-radius:3px}div.dtsb-searchBuilder div.dtsb-group div.dtsb-criteria select.dtsb-condition{border-color:#48b13c}div.dtsb-searchBuilder div.dtsb-group div.dtsb-criteria select.dtsb-data{border-color:#e70f00}div.dtsb-searchBuilder div.dtsb-group div.dtsb-criteria select.dtsb-value,div.dtsb-searchBuilder div.dtsb-group div.dtsb-criteria input.dtsb-value{border-color:#0069ba}div.dtsb-searchBuilder div.dtsb-group div.dtsb-criteria select.dtsb-condition option.dtsb-option,div.dtsb-searchBuilder div.dtsb-group div.dtsb-criteria select.dtsb-data option.dtsb-option,div.dtsb-searchBuilder div.dtsb-group div.dtsb-criteria select.dtsb-value option.dtsb-option{background-color:white}
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/SearchBuilder/css/searchBuilder.foundation.min.css
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/SearchBuilder/css/searchBuilder.foundation.min.css	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/SearchBuilder/css/searchBuilder.foundation.min.css	(revision 3761)
@@ -0,0 +1 @@
+div.dt-button-collection{overflow:visible !important;z-index:2002 !important}div.dt-button-collection div.dtsb-searchBuilder{width:99% !important;padding-left:10px !important;padding-right:10px !important}div.dt-button-collection.dtb-collection-closeable div.dtsb-titleRow{padding-right:40px}.dtsb-greyscale{border:1px solid #cecece !important}div.dtsb-logicContainer .dtsb-greyscale{border:none !important}div.dtsb-searchBuilder{justify-content:space-evenly;cursor:default;margin-bottom:1em;text-align:left}div.dtsb-searchBuilder button.dtsb-button,div.dtsb-searchBuilder select{font-size:1em}div.dtsb-searchBuilder div.dtsb-titleRow{justify-content:space-evenly;margin-bottom:.5em}div.dtsb-searchBuilder div.dtsb-titleRow div.dtsb-title{display:inline-block;padding-top:6px}div.dtsb-searchBuilder div.dtsb-titleRow div.dtsb-title:empty{display:inline}div.dtsb-searchBuilder div.dtsb-titleRow button.dtsb-clearAll{float:right;margin-bottom:.333em}div.dtsb-searchBuilder div.dtsb-vertical .dtsb-value,div.dtsb-searchBuilder div.dtsb-vertical .dtsb-data,div.dtsb-searchBuilder div.dtsb-vertical .dtsb-condition{display:block}div.dtsb-searchBuilder div.dtsb-group{position:relative;clear:both;margin-bottom:.8em}div.dtsb-searchBuilder div.dtsb-group button.dtsb-clearGroup{margin:2px;text-align:center;padding:0}div.dtsb-searchBuilder div.dtsb-group div.dtsb-logicContainer{-webkit-transform:rotate(90deg);-moz-transform:rotate(90deg);-o-transform:rotate(90deg);-ms-transform:rotate(90deg);transform:rotate(90deg);position:absolute;margin-top:.8em;margin-right:.8em}div.dtsb-searchBuilder div.dtsb-group div.dtsb-criteria{margin-bottom:.8em;display:flex;justify-content:start;flex-flow:row wrap}div.dtsb-searchBuilder div.dtsb-group div.dtsb-criteria select.dtsb-dropDown,div.dtsb-searchBuilder div.dtsb-group div.dtsb-criteria input.dtsb-input{padding:.4em;margin-right:.8em;min-width:5em;max-width:20em;background-color:rgba(200, 200, 200, 0.3)}div.dtsb-searchBuilder div.dtsb-group div.dtsb-criteria select.dtsb-dropDown option.dtsb-notItalic,div.dtsb-searchBuilder div.dtsb-group div.dtsb-criteria input.dtsb-input option.dtsb-notItalic{font-style:normal}div.dtsb-searchBuilder div.dtsb-group div.dtsb-criteria select.dtsb-italic{font-style:italic}div.dtsb-searchBuilder div.dtsb-group div.dtsb-criteria div.dtsb-inputCont{flex:1;white-space:nowrap}div.dtsb-searchBuilder div.dtsb-group div.dtsb-criteria div.dtsb-inputCont span.dtsp-joiner{margin-right:.8em}div.dtsb-searchBuilder div.dtsb-group div.dtsb-criteria div.dtsb-inputCont input.dtsb-value{width:33%}div.dtsb-searchBuilder div.dtsb-group div.dtsb-criteria div.dtsb-buttonContainer{margin-left:auto;display:inline-block}div.dtsb-searchBuilder div.dtsb-group div.dtsb-criteria div.dtsb-buttonContainer button.dtsb-delete,div.dtsb-searchBuilder div.dtsb-group div.dtsb-criteria div.dtsb-buttonContainer button.dtsb-right,div.dtsb-searchBuilder div.dtsb-group div.dtsb-criteria div.dtsb-buttonContainer button.dtsb-left{margin-right:.8em}div.dtsb-searchBuilder div.dtsb-group div.dtsb-criteria div.dtsb-buttonContainer button.dtsb-delete:last-child,div.dtsb-searchBuilder div.dtsb-group div.dtsb-criteria div.dtsb-buttonContainer button.dtsb-right:last-child,div.dtsb-searchBuilder div.dtsb-group div.dtsb-criteria div.dtsb-buttonContainer button.dtsb-left:last-child{margin-right:0}@media screen and (max-width: 550px){div.dtsb-searchBuilder div.dtsb-group div.dtsb-criteria{display:flex;flex-flow:none;flex-direction:column;justify-content:start;padding-right:calc(35px + .8em);margin-bottom:0px}div.dtsb-searchBuilder div.dtsb-group div.dtsb-criteria:not(:first-child),div.dtsb-searchBuilder div.dtsb-group div.dtsb-criteria:not(:nth-child(2)),div.dtsb-searchBuilder div.dtsb-group div.dtsb-criteria:not(:last-child){padding-top:.8em}div.dtsb-searchBuilder div.dtsb-group div.dtsb-criteria:first-child,div.dtsb-searchBuilder div.dtsb-group div.dtsb-criteria:nth-child(2),div.dtsb-searchBuilder div.dtsb-group div.dtsb-criteria:last-child{padding-top:0em}div.dtsb-searchBuilder div.dtsb-group div.dtsb-criteria select.dtsb-dropDown,div.dtsb-searchBuilder div.dtsb-group div.dtsb-criteria input.dtsb-input{max-width:none;width:100%;margin-bottom:.8em;margin-right:.8em}div.dtsb-searchBuilder div.dtsb-group div.dtsb-criteria div.dtsb-inputCont{margin-right:.8em}div.dtsb-searchBuilder div.dtsb-group div.dtsb-criteria div.dtsb-buttonContainer{position:absolute;width:35px;display:flex;flex-wrap:wrap-reverse;right:0}div.dtsb-searchBuilder div.dtsb-group div.dtsb-criteria div.dtsb-buttonContainer button{margin-right:0px !important}}div.dtsb-searchBuilder div.dtsb-titleRow{margin-bottom:1em}div.dtsb-searchBuilder div.dtsb-titleRow div.dtsb-title{padding-top:10px;font-size:1.4375rem}div.dtsb-searchBuilder div.dtsb-titleRow button.dtsb-clearAll{margin-bottom:0px}div.dtsb-searchBuilder div.dtsb-group div.dtsb-criteria select.dtsb-dropDown{width:auto !important;margin-bottom:0px;padding-left:.5rem;padding-right:1.5rem}div.dtsb-searchBuilder div.dtsb-group div.dtsb-criteria input{height:2.4375rem}div.dtsb-searchBuilder div.dtsb-group div.dtsb-criteria select.dtsb-condition{border-color:#3adb76}div.dtsb-searchBuilder div.dtsb-group div.dtsb-criteria select.dtsb-data{border-color:#cc4b37}div.dtsb-searchBuilder div.dtsb-group div.dtsb-criteria select.dtsb-value,div.dtsb-searchBuilder div.dtsb-group div.dtsb-criteria input.dtsb-value{border-color:#1779ba}div.dtsb-searchBuilder div.dtsb-group div.dtsb-logicContainer{border-radius:4px;display:flex;flex-direction:row;flex-wrap:wrap;justify-content:flex-start;align-content:flex-start;align-items:flex-start;margin-top:.8em}div.dtsb-searchBuilder div.dtsb-group div.dtsb-logicContainer button.dtsb-logic{border:none;border-radius:0px;flex-grow:1;flex-shrink:0;flex-basis:3em !important;margin:0px}div.dtsb-searchBuilder div.dtsb-group div.dtsb-logicContainer button.dtsb-clearGroup{border:none;border-radius:0px;flex-basis:2em !important;width:2em;margin:0px}div.dtsb-searchBuilder div.dtsb-group button{margin-bottom:0px}
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/SearchBuilder/js/dataTables.searchBuilder.min.js
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/SearchBuilder/js/dataTables.searchBuilder.min.js	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/SearchBuilder/js/dataTables.searchBuilder.min.js	(revision 3761)
@@ -0,0 +1,149 @@
+/*!
+ SearchBuilder 1.3.4
+ Â©SpryMedia Ltd - datatables.net/license/mit
+*/
+var $jscomp=$jscomp||{};$jscomp.scope={};$jscomp.ASSUME_ES5=!1;$jscomp.ASSUME_NO_NATIVE_MAP=!1;$jscomp.ASSUME_NO_NATIVE_SET=!1;$jscomp.SIMPLE_FROUND_POLYFILL=!1;$jscomp.ISOLATE_POLYFILLS=!1;$jscomp.defineProperty=$jscomp.ASSUME_ES5||"function"==typeof Object.defineProperties?Object.defineProperty:function(k,n,m){if(k==Array.prototype||k==Object.prototype)return k;k[n]=m.value;return k};
+$jscomp.getGlobal=function(k){k=["object"==typeof globalThis&&globalThis,k,"object"==typeof window&&window,"object"==typeof self&&self,"object"==typeof global&&global];for(var n=0;n<k.length;++n){var m=k[n];if(m&&m.Math==Math)return m}throw Error("Cannot find global object");};$jscomp.global=$jscomp.getGlobal(this);$jscomp.IS_SYMBOL_NATIVE="function"===typeof Symbol&&"symbol"===typeof Symbol("x");$jscomp.TRUST_ES6_POLYFILLS=!$jscomp.ISOLATE_POLYFILLS||$jscomp.IS_SYMBOL_NATIVE;$jscomp.polyfills={};
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+$jscomp.polyfill("Symbol",function(k){if(k)return k;var n=function(r,q){this.$jscomp$symbol$id_=r;$jscomp.defineProperty(this,"description",{configurable:!0,writable:!0,value:q})};n.prototype.toString=function(){return this.$jscomp$symbol$id_};var m=0,h=function(r){if(this instanceof h)throw new TypeError("Symbol is not a constructor");return new n("jscomp_symbol_"+(r||"")+"_"+m++,r)};return h},"es6","es3");$jscomp.initSymbolIterator=function(){};
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+(function(){function k(c){h=c;r=c.fn.dataTable}function n(c){v=c;C=c.fn.dataTable}function m(c){w=c;B=c.fn.DataTable}var h,r,q=function(){function c(a,b,d,e,f,g){var l=this;void 0===e&&(e=0);void 0===f&&(f=1);void 0===g&&(g=void 0);if(!r||!r.versionCheck||!r.versionCheck("1.10.0"))throw Error("SearchPane requires DataTables 1.10 or newer");this.classes=h.extend(!0,{},c.classes);this.c=h.extend(!0,{},c.defaults,h.fn.dataTable.ext.searchBuilder,b);b=this.c.i18n;this.s={condition:void 0,conditions:{},
+data:void 0,dataIdx:-1,dataPoints:[],dateFormat:!1,depth:f,dt:a,filled:!1,index:e,origData:void 0,preventRedraw:!1,serverData:g,topGroup:d,type:"",value:[]};this.dom={buttons:h("<div/>").addClass(this.classes.buttonContainer),condition:h("<select disabled/>").addClass(this.classes.condition).addClass(this.classes.dropDown).addClass(this.classes.italic).attr("autocomplete","hacking"),conditionTitle:h('<option value="" disabled selected hidden/>').html(this.s.dt.i18n("searchBuilder.condition",b.condition)),
+container:h("<div/>").addClass(this.classes.container),data:h("<select/>").addClass(this.classes.data).addClass(this.classes.dropDown).addClass(this.classes.italic),dataTitle:h('<option value="" disabled selected hidden/>').html(this.s.dt.i18n("searchBuilder.data",b.data)),defaultValue:h("<select disabled/>").addClass(this.classes.value).addClass(this.classes.dropDown).addClass(this.classes.select).addClass(this.classes.italic),"delete":h("<button/>").html(this.s.dt.i18n("searchBuilder.delete",b["delete"])).addClass(this.classes["delete"]).addClass(this.classes.button).attr("title",
+this.s.dt.i18n("searchBuilder.deleteTitle",b.deleteTitle)).attr("type","button"),inputCont:h("<div/>").addClass(this.classes.inputCont),left:h("<button/>").html(this.s.dt.i18n("searchBuilder.left",b.left)).addClass(this.classes.left).addClass(this.classes.button).attr("title",this.s.dt.i18n("searchBuilder.leftTitle",b.leftTitle)).attr("type","button"),right:h("<button/>").html(this.s.dt.i18n("searchBuilder.right",b.right)).addClass(this.classes.right).addClass(this.classes.button).attr("title",this.s.dt.i18n("searchBuilder.rightTitle",
+b.rightTitle)).attr("type","button"),value:[h("<select disabled/>").addClass(this.classes.value).addClass(this.classes.dropDown).addClass(this.classes.italic).addClass(this.classes.select)],valueTitle:h('<option value="--valueTitle--" disabled selected hidden/>').html(this.s.dt.i18n("searchBuilder.value",b.value))};if(this.c.greyscale)for(this.dom.data.addClass(this.classes.greyscale),this.dom.condition.addClass(this.classes.greyscale),this.dom.defaultValue.addClass(this.classes.greyscale),a=0,d=
+this.dom.value;a<d.length;a++)d[a].addClass(this.classes.greyscale);h(window).on("resize.dtsb",r.util.throttle(function(){l.s.topGroup.trigger("dtsb-redrawLogic")}));this._buildCriteria();return this}c._escapeHTML=function(a){return a.toString().replace(/&amp;/g,"&").replace(/&lt;/g,"<").replace(/&gt;/g,">").replace(/&quot;/g,'"')};c.parseNumFmt=function(a){return+a.replace(/(?!^-)[^0-9.]/g,"")};c.prototype.updateArrows=function(a){void 0===a&&(a=!1);this.dom.container.children().detach();this.dom.container.append(this.dom.data).append(this.dom.condition).append(this.dom.inputCont);
+this.setListeners();void 0!==this.dom.value[0]&&this.dom.value[0].trigger("dtsb-inserted");for(var b=1;b<this.dom.value.length;b++)this.dom.inputCont.append(this.dom.value[b]),this.dom.value[b].trigger("dtsb-inserted");1<this.s.depth&&this.dom.buttons.append(this.dom.left);(!1===this.c.depthLimit||this.s.depth<this.c.depthLimit)&&a?this.dom.buttons.append(this.dom.right):this.dom.right.remove();this.dom.buttons.append(this.dom["delete"]);this.dom.container.append(this.dom.buttons)};c.prototype.destroy=
+function(){this.dom.data.off(".dtsb");this.dom.condition.off(".dtsb");this.dom["delete"].off(".dtsb");for(var a=0,b=this.dom.value;a<b.length;a++)b[a].off(".dtsb");this.dom.container.remove()};c.prototype.search=function(a,b){var d=this.s.conditions[this.s.condition];if(void 0!==this.s.condition&&void 0!==d){var e=a[this.s.dataIdx];if(this.s.type.includes("num")&&(""!==this.s.dt.settings()[0].oLanguage.sDecimal||""!==this.s.dt.settings()[0].oLanguage.sThousands)){e=[a[this.s.dataIdx]];""!==this.s.dt.settings()[0].oLanguage.sDecimal&&
+(e=a[this.s.dataIdx].split(this.s.dt.settings()[0].oLanguage.sDecimal));if(""!==this.s.dt.settings()[0].oLanguage.sThousands)for(a=0;a<e.length;a++)e[a]=e[a].replace(this.s.dt.settings()[0].oLanguage.sThousands,",");e=e.join(".")}"filter"!==this.c.orthogonal.search&&(e=this.s.dt.settings()[0],e=e.oApi._fnGetCellData(e,b,this.s.dataIdx,"string"===typeof this.c.orthogonal?this.c.orthogonal:this.c.orthogonal.search));if("array"===this.s.type)for(Array.isArray(e)||(e=[e]),e.sort(),b=0,a=e;b<a.length;b++){var f=
+a[b];f&&"string"===typeof f&&f.replace(/[\r\n\u2028]/g," ")}else null!==e&&"string"===typeof e&&(e=e.replace(/[\r\n\u2028]/g," "));this.s.type.includes("html")&&"string"===typeof e&&(e=e.replace(/(<([^>]+)>)/ig,""));null===e&&(e="");return d.search(e,this.s.value,this)}};c.prototype.getDetails=function(a){void 0===a&&(a=!1);if(null!==this.s.type&&this.s.type.includes("num")&&(""!==this.s.dt.settings()[0].oLanguage.sDecimal||""!==this.s.dt.settings()[0].oLanguage.sThousands))for(a=0;a<this.s.value.length;a++){var b=
+[this.s.value[a].toString()];""!==this.s.dt.settings()[0].oLanguage.sDecimal&&(b=this.s.value[a].split(this.s.dt.settings()[0].oLanguage.sDecimal));if(""!==this.s.dt.settings()[0].oLanguage.sThousands)for(var d=0;d<b.length;d++)b[d]=b[d].replace(this.s.dt.settings()[0].oLanguage.sThousands,",");this.s.value[a]=b.join(".")}else if(null!==this.s.type&&a)if(this.s.type.includes("date")||this.s.type.includes("time"))for(a=0;a<this.s.value.length;a++)null===this.s.value[a].match(/^\d{4}-([0]\d|1[0-2])-([0-2]\d|3[01])$/g)&&
+(this.s.value[a]="");else if(this.s.type.includes("moment"))for(a=0;a<this.s.value.length;a++)this.s.value[a]&&0<this.s.value[a].length&&(0,window.moment)(this.s.value[a],this.s.dateFormat,!0).isValid()&&(this.s.value[a]=(0,window.moment)(this.s.value[a],this.s.dateFormat).format("YYYY-MM-DD HH:mm:ss"));else if(this.s.type.includes("luxon"))for(a=0;a<this.s.value.length;a++)this.s.value[a]&&0<this.s.value[a].length&&null===window.luxon.DateTime.fromFormat(this.s.value[a],this.s.dateFormat).invalid&&
+(this.s.value[a]=window.luxon.DateTime.fromFormat(this.s.value[a],this.s.dateFormat).toFormat("yyyy-MM-dd HH:mm:ss"));if(this.s.type.includes("num")&&this.s.dt.page.info().serverSide)for(a=0;a<this.s.value.length;a++)this.s.value[a]=this.s.value[a].replace(/[^0-9.]/g,"");return{condition:this.s.condition,data:this.s.data,origData:this.s.origData,type:this.s.type,value:this.s.value.map(function(e){return null!==e&&void 0!==e?e.toString():e})}};c.prototype.getNode=function(){return this.dom.container};
+c.prototype.populate=function(){this._populateData();-1!==this.s.dataIdx&&(this._populateCondition(),void 0!==this.s.condition&&this._populateValue())};c.prototype.rebuild=function(a){var b=!1,d;this._populateData();if(void 0!==a.data){var e=this.classes.italic,f=this.dom.data;this.dom.data.children("option").each(function(){!b&&(h(this).text()===a.data||a.origData&&h(this).prop("origData")===a.origData)?(h(this).prop("selected",!0),f.removeClass(e),b=!0,d=h(this).val()):h(this).removeProp("selected")})}if(b){this.s.data=
+a.data;this.s.origData=a.origData;this.s.dataIdx=d;this.c.orthogonal=this._getOptions().orthogonal;this.dom.dataTitle.remove();this._populateCondition();this.dom.conditionTitle.remove();for(var g=void 0,l=this.dom.condition.children("option"),p=0;p<l.length;p++){var t=h(l[p]);void 0!==a.condition&&t.val()===a.condition&&"string"===typeof a.condition?(t.prop("selected",!0),g=t.val()):t.removeProp("selected")}this.s.condition=g;if(void 0!==this.s.condition){this.dom.conditionTitle.removeProp("selected");
+this.dom.conditionTitle.remove();this.dom.condition.removeClass(this.classes.italic);for(p=0;p<l.length;p++)t=h(l[p]),t.val()!==this.s.condition&&t.removeProp("selected");this._populateValue(a)}else this.dom.conditionTitle.prependTo(this.dom.condition).prop("selected",!0)}};c.prototype.setListeners=function(){var a=this;this.dom.data.unbind("change").on("change.dtsb",function(){a.dom.dataTitle.removeProp("selected");for(var b=a.dom.data.children("option."+a.classes.option),d=0;d<b.length;d++){var e=
+h(b[d]);e.val()===a.dom.data.val()?(a.dom.data.removeClass(a.classes.italic),e.prop("selected",!0),a.s.dataIdx=+e.val(),a.s.data=e.text(),a.s.origData=e.prop("origData"),a.c.orthogonal=a._getOptions().orthogonal,a._clearCondition(),a._clearValue(),a._populateCondition(),a.s.filled&&(a.s.filled=!1,a.s.dt.draw(),a.setListeners()),a.s.dt.state.save()):e.removeProp("selected")}});this.dom.condition.unbind("change").on("change.dtsb",function(){a.dom.conditionTitle.removeProp("selected");for(var b=a.dom.condition.children("option."+
+a.classes.option),d=0;d<b.length;d++){var e=h(b[d]);if(e.val()===a.dom.condition.val()){a.dom.condition.removeClass(a.classes.italic);e.prop("selected",!0);e=e.val();for(var f=0,g=Object.keys(a.s.conditions);f<g.length;f++)if(g[f]===e){a.s.condition=e;break}a._clearValue();a._populateValue();e=0;for(f=a.dom.value;e<f.length;e++)g=f[e],a.s.filled&&void 0!==g&&0!==a.dom.inputCont.has(g[0]).length&&(a.s.filled=!1,a.s.dt.draw(),a.setListeners());(0===a.dom.value.length||1===a.dom.value.length&&void 0===
+a.dom.value[0])&&a.s.dt.draw()}else e.removeProp("selected")}})};c.prototype.setupButtons=function(){550<window.innerWidth?(this.dom.container.removeClass(this.classes.vertical),this.dom.buttons.css("left",null),this.dom.buttons.css("top",null)):(this.dom.container.addClass(this.classes.vertical),this.dom.buttons.css("left",this.dom.data.innerWidth()),this.dom.buttons.css("top",this.dom.data.position().top))};c.prototype._buildCriteria=function(){this.dom.data.append(this.dom.dataTitle);this.dom.condition.append(this.dom.conditionTitle);
+this.dom.container.append(this.dom.data).append(this.dom.condition);this.dom.inputCont.empty();for(var a=0,b=this.dom.value;a<b.length;a++){var d=b[a];d.append(this.dom.valueTitle);this.dom.inputCont.append(d)}this.dom.buttons.append(this.dom["delete"]).append(this.dom.right);this.dom.container.append(this.dom.inputCont).append(this.dom.buttons);this.setListeners()};c.prototype._clearCondition=function(){this.dom.condition.empty();this.dom.conditionTitle.prop("selected",!0).attr("disabled","true");
+this.dom.condition.prepend(this.dom.conditionTitle).prop("selectedIndex",0);this.s.conditions={};this.s.condition=void 0};c.prototype._clearValue=function(){if(void 0!==this.s.condition){if(0<this.dom.value.length&&void 0!==this.dom.value[0])for(var a=function(f){void 0!==f&&setTimeout(function(){f.remove()},50)},b=0,d=this.dom.value;b<d.length;b++){var e=d[b];a(e)}this.dom.value=[].concat(this.s.conditions[this.s.condition].init(this,c.updateListener));if(0<this.dom.value.length&&void 0!==this.dom.value[0])for(this.dom.inputCont.empty().append(this.dom.value[0]).insertAfter(this.dom.condition),
+this.dom.value[0].trigger("dtsb-inserted"),e=1;e<this.dom.value.length;e++)this.dom.inputCont.append(this.dom.value[e]),this.dom.value[e].trigger("dtsb-inserted")}else{a=function(f){void 0!==f&&setTimeout(function(){f.remove()},50)};b=0;for(d=this.dom.value;b<d.length;b++)e=d[b],a(e);this.dom.valueTitle.prop("selected",!0);this.dom.defaultValue.append(this.dom.valueTitle).insertAfter(this.dom.condition)}this.s.value=[];this.dom.value=[h("<select disabled/>").addClass(this.classes.value).addClass(this.classes.dropDown).addClass(this.classes.italic).addClass(this.classes.select).append(this.dom.valueTitle.clone())]};
+c.prototype._getOptions=function(){return h.extend(!0,{},c.defaults,this.s.dt.settings()[0].aoColumns[this.s.dataIdx].searchBuilder)};c.prototype._populateCondition=function(){var a=[],b=Object.keys(this.s.conditions).length,d=this.s.dt.settings()[0].aoColumns,e=+this.dom.data.children("option:selected").val();if(0===b){this.s.type=this.s.dt.columns().type().toArray()[e];if(void 0!==d)if(b=d[e],void 0!==b.searchBuilderType&&null!==b.searchBuilderType)this.s.type=b.searchBuilderType;else if(void 0===
+this.s.type||null===this.s.type)this.s.type=b.sType;if(null===this.s.type||void 0===this.s.type)h.fn.dataTable.ext.oApi._fnColumnTypes(this.s.dt.settings()[0]),this.s.type=this.s.dt.columns().type().toArray()[e];this.dom.condition.removeAttr("disabled").empty().append(this.dom.conditionTitle).addClass(this.classes.italic);this.dom.conditionTitle.prop("selected",!0);b=this.s.dt.settings()[0].oLanguage.sDecimal;""!==b&&this.s.type.indexOf(b)===this.s.type.length-b.length&&(this.s.type.includes("num-fmt")?
+this.s.type=this.s.type.replace(b,""):this.s.type.includes("num")&&(this.s.type=this.s.type.replace(b,"")));var f=void 0!==this.c.conditions[this.s.type]?this.c.conditions[this.s.type]:this.s.type.includes("moment")?this.c.conditions.moment:this.s.type.includes("luxon")?this.c.conditions.luxon:this.c.conditions.string;this.s.type.includes("moment")?this.s.dateFormat=this.s.type.replace(/moment-/g,""):this.s.type.includes("luxon")&&(this.s.dateFormat=this.s.type.replace(/luxon-/g,""));for(var g=0,
+l=Object.keys(f);g<l.length;g++){var p=l[g];null!==f[p]&&(this.s.dt.page.info().serverSide&&f[p].init===c.initSelect&&(b=d[e],this.s.serverData&&this.s.serverData[b.data]?(f[p].init=c.initSelectSSP,f[p].inputValue=c.inputValueSelect,f[p].isInputValid=c.isInputValidSelect):(f[p].init=c.initInput,f[p].inputValue=c.inputValueInput,f[p].isInputValid=c.isInputValidInput)),this.s.conditions[p]=f[p],b=f[p].conditionName,"function"===typeof b&&(b=b(this.s.dt,this.c.i18n)),a.push(h("<option>",{text:b,value:p}).addClass(this.classes.option).addClass(this.classes.notItalic)))}}else if(0<
+b)for(this.dom.condition.empty().removeAttr("disabled").addClass(this.classes.italic),f=0,g=Object.keys(this.s.conditions);f<g.length;f++)p=g[f],b=this.s.conditions[p].conditionName,"function"===typeof b&&(b=b(this.s.dt,this.c.i18n)),p=h("<option>",{text:b,value:p}).addClass(this.classes.option).addClass(this.classes.notItalic),void 0!==this.s.condition&&this.s.condition===b&&(p.prop("selected",!0),this.dom.condition.removeClass(this.classes.italic)),a.push(p);else{this.dom.condition.attr("disabled",
+"true").addClass(this.classes.italic);return}for(b=0;b<a.length;b++)this.dom.condition.append(a[b]);if(d[e].searchBuilder&&d[e].searchBuilder.defaultCondition)if(d=d[e].searchBuilder.defaultCondition,"number"===typeof d)this.dom.condition.prop("selectedIndex",d),this.dom.condition.trigger("change");else{if("string"===typeof d)for(e=0;e<a.length;e++)for(p=0,f=Object.keys(this.s.conditions);p<f.length;p++)if(g=f[p],b=this.s.conditions[g].conditionName,("string"===typeof b?b:b(this.s.dt,this.c.i18n))===
+a[e].text()&&g===d){this.dom.condition.prop("selectedIndex",this.dom.condition.children().toArray().indexOf(a[e][0])).removeClass(this.classes.italic);this.dom.condition.trigger("change");e=a.length;break}}else this.dom.condition.prop("selectedIndex",0)};c.prototype._populateData=function(){var a=this;this.dom.data.empty().append(this.dom.dataTitle);if(0===this.s.dataPoints.length)this.s.dt.columns().every(function(g){if(!0===a.c.columns||a.s.dt.columns(a.c.columns).indexes().toArray().includes(g)){for(var l=
+!1,p=0,t=a.s.dataPoints;p<t.length;p++)if(t[p].index===g){l=!0;break}l||(l=a.s.dt.settings()[0].aoColumns[g],g={index:g,origData:l.data,text:(void 0===l.searchBuilderTitle?l.sTitle:l.searchBuilderTitle).replace(/(<([^>]+)>)/ig,"")},a.s.dataPoints.push(g),a.dom.data.append(h("<option>",{text:g.text,value:g.index}).addClass(a.classes.option).addClass(a.classes.notItalic).prop("origData",l.data).prop("selected",a.s.dataIdx===g.index?!0:!1)),a.s.dataIdx===g.index&&a.dom.dataTitle.removeProp("selected"))}});
+else for(var b=function(g){d.s.dt.columns().every(function(p){var t=a.s.dt.settings()[0].aoColumns[p];(void 0===t.searchBuilderTitle?t.sTitle:t.searchBuilderTitle).replace(/(<([^>]+)>)/ig,"")===g.text&&(g.index=p,g.origData=t.data)});var l=h("<option>",{text:g.text.replace(/(<([^>]+)>)/ig,""),value:g.index}).addClass(d.classes.option).addClass(d.classes.notItalic).prop("origData",g.origData);d.s.data===g.text&&(d.s.dataIdx=g.index,d.dom.dataTitle.removeProp("selected"),l.prop("selected",!0),d.dom.data.removeClass(d.classes.italic));
+d.dom.data.append(l)},d=this,e=0,f=this.s.dataPoints;e<f.length;e++)b(f[e])};c.prototype._populateValue=function(a){var b=this,d=this.s.filled;this.s.filled=!1;setTimeout(function(){b.dom.defaultValue.remove()},50);for(var e=function(l){setTimeout(function(){void 0!==l&&l.remove()},50)},f=0,g=this.dom.value;f<g.length;f++)e(g[f]);e=this.dom.inputCont.children();if(1<e.length)for(f=0;f<e.length;f++)h(e[f]).remove();void 0!==a&&this.s.dt.columns().every(function(l){b.s.dt.settings()[0].aoColumns[l].sTitle===
+a.data&&(b.s.dataIdx=l)});this.dom.value=[].concat(this.s.conditions[this.s.condition].init(this,c.updateListener,void 0!==a?a.value:void 0));void 0!==a&&void 0!==a.value&&(this.s.value=a.value);this.dom.inputCont.empty();void 0!==this.dom.value[0]&&this.dom.value[0].appendTo(this.dom.inputCont).trigger("dtsb-inserted");for(f=1;f<this.dom.value.length;f++)this.dom.value[f].insertAfter(this.dom.value[f-1]).trigger("dtsb-inserted");this.s.filled=this.s.conditions[this.s.condition].isInputValid(this.dom.value,
+this);this.setListeners();this.s.preventRedraw||d===this.s.filled||(this.s.dt.page.info().serverSide||this.s.dt.draw(),this.setListeners())};c.prototype._throttle=function(a,b){void 0===b&&(b=200);var d=null,e=null,f=this;null===b&&(b=200);return function(){for(var g=[],l=0;l<arguments.length;l++)g[l]=arguments[l];l=+new Date;null!==d&&l<d+b?clearTimeout(e):d=l;e=setTimeout(function(){d=null;a.apply(f,g)},b)}};c.version="1.1.0";c.classes={button:"dtsb-button",buttonContainer:"dtsb-buttonContainer",
+condition:"dtsb-condition",container:"dtsb-criteria",data:"dtsb-data","delete":"dtsb-delete",dropDown:"dtsb-dropDown",greyscale:"dtsb-greyscale",input:"dtsb-input",inputCont:"dtsb-inputCont",italic:"dtsb-italic",joiner:"dtsp-joiner",left:"dtsb-left",notItalic:"dtsb-notItalic",option:"dtsb-option",right:"dtsb-right",select:"dtsb-select",value:"dtsb-value",vertical:"dtsb-vertical"};c.initSelect=function(a,b,d,e){void 0===d&&(d=null);void 0===e&&(e=!1);var f=a.dom.data.children("option:selected").val(),
+g=a.s.dt.rows().indexes().toArray(),l=a.s.dt.settings()[0];a.dom.valueTitle.prop("selected",!0);var p=h("<select/>").addClass(c.classes.value).addClass(c.classes.dropDown).addClass(c.classes.italic).addClass(c.classes.select).append(a.dom.valueTitle).on("change.dtsb",function(){h(this).removeClass(c.classes.italic);b(a,this)});a.c.greyscale&&p.addClass(c.classes.greyscale);for(var t=[],A=[],F=0;F<g.length;F++){var y=g[F],z=l.oApi._fnGetCellData(l,y,f,"string"===typeof a.c.orthogonal?a.c.orthogonal:
+a.c.orthogonal.search);z="string"===typeof z?z.replace(/[\r\n\u2028]/g," "):z;y=l.oApi._fnGetCellData(l,y,f,"string"===typeof a.c.orthogonal?a.c.orthogonal:a.c.orthogonal.display);"array"===a.s.type&&(z=Array.isArray(z)?z:[z],y=Array.isArray(y)?y:[y]);var H=function(u,x){a.s.type.includes("html")&&null!==u&&"string"===typeof u&&u.replace(/(<([^>]+)>)/ig,"");u=h("<option>",{type:Array.isArray(u)?"Array":"String",value:u}).data("sbv",u).addClass(a.classes.option).addClass(a.classes.notItalic).html("string"===
+typeof x?x.replace(/(<([^>]+)>)/ig,""):x);x=u.val();-1===t.indexOf(x)&&(t.push(x),A.push(u),null!==d&&Array.isArray(d[0])&&(d[0]=d[0].sort().join(",")),null!==d&&u.val()===d[0]&&(u.prop("selected",!0),p.removeClass(c.classes.italic),a.dom.valueTitle.removeProp("selected")))};if(e)for(var D=0;D<z.length;D++)H(z[D],y[D]);else H(z,Array.isArray(y)?y.join(", "):y)}A.sort(function(u,x){if("array"===a.s.type||"string"===a.s.type||"html"===a.s.type)return u.val()<x.val()?-1:u.val()>x.val()?1:0;if("num"===
+a.s.type||"html-num"===a.s.type)return+u.val().replace(/(<([^>]+)>)/ig,"")<+x.val().replace(/(<([^>]+)>)/ig,"")?-1:+u.val().replace(/(<([^>]+)>)/ig,"")>+x.val().replace(/(<([^>]+)>)/ig,"")?1:0;if("num-fmt"===a.s.type||"html-num-fmt"===a.s.type)return+u.val().replace(/[^0-9.]/g,"")<+x.val().replace(/[^0-9.]/g,"")?-1:+u.val().replace(/[^0-9.]/g,"")>+x.val().replace(/[^0-9.]/g,"")?1:0});for(e=0;e<A.length;e++)p.append(A[e]);return p};c.initSelectSSP=function(a,b,d){void 0===d&&(d=null);a.dom.valueTitle.prop("selected",
+!0);var e=h("<select/>").addClass(c.classes.value).addClass(c.classes.dropDown).addClass(c.classes.italic).addClass(c.classes.select).append(a.dom.valueTitle).on("change.dtsb",function(){h(this).removeClass(c.classes.italic);b(a,this)});a.c.greyscale&&e.addClass(c.classes.greyscale);for(var f=[],g=0,l=a.s.serverData[a.s.origData];g<l.length;g++){var p=l[g];(function(t,A){a.s.type.includes("html")&&null!==t&&"string"===typeof t&&t.replace(/(<([^>]+)>)/ig,"");t=h("<option>",{type:Array.isArray(t)?"Array":
+"String",value:t}).data("sbv",t).addClass(a.classes.option).addClass(a.classes.notItalic).html("string"===typeof A?A.replace(/(<([^>]+)>)/ig,""):A);f.push(t);null!==d&&t.val()===d[0]&&(t.prop("selected",!0),e.removeClass(c.classes.italic),a.dom.valueTitle.removeProp("selected"))})(p.value,p.label)}for(g=0;g<f.length;g++)e.append(f[g]);return e};c.initSelectArray=function(a,b,d){void 0===d&&(d=null);return c.initSelect(a,b,d,!0)};c.initInput=function(a,b,d){void 0===d&&(d=null);var e=a.s.dt.settings()[0].searchDelay;
+e=h("<input/>").addClass(c.classes.value).addClass(c.classes.input).on("input.dtsb keypress.dtsb",a._throttle(function(f){return b(a,this,f.keyCode||f.which)},null===e?100:e));a.c.greyscale&&e.addClass(c.classes.greyscale);null!==d&&e.val(d[0]);a.s.dt.one("draw.dtsb",function(){a.s.topGroup.trigger("dtsb-redrawLogic")});return e};c.init2Input=function(a,b,d){void 0===d&&(d=null);var e=a.s.dt.settings()[0].searchDelay;e=[h("<input/>").addClass(c.classes.value).addClass(c.classes.input).on("input.dtsb keypress.dtsb",
+a._throttle(function(f){return b(a,this,f.keyCode||f.which)},null===e?100:e)),h("<span>").addClass(a.classes.joiner).html(a.s.dt.i18n("searchBuilder.valueJoiner",a.c.i18n.valueJoiner)),h("<input/>").addClass(c.classes.value).addClass(c.classes.input).on("input.dtsb keypress.dtsb",a._throttle(function(f){return b(a,this,f.keyCode||f.which)},null===e?100:e))];a.c.greyscale&&(e[0].addClass(c.classes.greyscale),e[2].addClass(c.classes.greyscale));null!==d&&(e[0].val(d[0]),e[2].val(d[1]));a.s.dt.one("draw.dtsb",
+function(){a.s.topGroup.trigger("dtsb-redrawLogic")});return e};c.initDate=function(a,b,d){void 0===d&&(d=null);var e=a.s.dt.settings()[0].searchDelay,f=h("<input/>").addClass(c.classes.value).addClass(c.classes.input).dtDateTime({attachTo:"input",format:a.s.dateFormat?a.s.dateFormat:void 0}).on("change.dtsb",a._throttle(function(){return b(a,this)},null===e?100:e)).on("input.dtsb keypress.dtsb",function(g){a._throttle(function(){return b(a,this,g.keyCode||g.which)},null===e?100:e)});a.c.greyscale&&
+f.addClass(c.classes.greyscale);null!==d&&f.val(d[0]);a.s.dt.one("draw.dtsb",function(){a.s.topGroup.trigger("dtsb-redrawLogic")});return f};c.initNoValue=function(a){a.s.dt.one("draw.dtsb",function(){a.s.topGroup.trigger("dtsb-redrawLogic")})};c.init2Date=function(a,b,d){var e=this;void 0===d&&(d=null);var f=a.s.dt.settings()[0].searchDelay,g=[h("<input/>").addClass(c.classes.value).addClass(c.classes.input).dtDateTime({attachTo:"input",format:a.s.dateFormat?a.s.dateFormat:void 0}).on("change.dtsb",
+null!==f?a.s.dt.settings()[0].oApi._fnThrottle(function(){return b(a,this)},f):function(){b(a,e)}).on("input.dtsb keypress.dtsb",function(l){a.s.dt.settings()[0].oApi._fnThrottle(function(){return b(a,this,l.keyCode||l.which)},null===f?0:f)}),h("<span>").addClass(a.classes.joiner).html(a.s.dt.i18n("searchBuilder.valueJoiner",a.c.i18n.valueJoiner)),h("<input/>").addClass(c.classes.value).addClass(c.classes.input).dtDateTime({attachTo:"input",format:a.s.dateFormat?a.s.dateFormat:void 0}).on("change.dtsb",
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+b){return a.i18n("searchBuilder.conditions.array.notEmpty",b.conditions.array.notEmpty)},init:c.initNoValue,inputValue:function(){},isInputValid:function(){return!0},search:function(a){return null!==a&&void 0!==a&&0!==a.length}}};c.defaults={columns:!0,conditions:{array:c.arrayConditions,date:c.dateConditions,html:c.stringConditions,"html-num":c.numConditions,"html-num-fmt":c.numFmtConditions,luxon:c.luxonDateConditions,moment:c.momentDateConditions,num:c.numConditions,"num-fmt":c.numFmtConditions,
+string:c.stringConditions},depthLimit:!1,enterSearch:!1,filterChanged:void 0,greyscale:!1,i18n:{add:"Add Condition",button:{0:"Search Builder",_:"Search Builder (%d)"},clearAll:"Clear All",condition:"Condition",data:"Data","delete":"&times",deleteTitle:"Delete filtering rule",left:"<",leftTitle:"Outdent criteria",logicAnd:"And",logicOr:"Or",right:">",rightTitle:"Indent criteria",title:{0:"Custom Search Builder",_:"Custom Search Builder (%d)"},value:"Value",valueJoiner:"and"},logic:"AND",orthogonal:{display:"display",
+search:"filter"},preDefined:!1};return c}(),v,C,E=function(){function c(a,b,d,e,f,g,l){void 0===e&&(e=0);void 0===f&&(f=!1);void 0===g&&(g=1);void 0===l&&(l=void 0);if(!C||!C.versionCheck||!C.versionCheck("1.10.0"))throw Error("SearchBuilder requires DataTables 1.10 or newer");this.classes=v.extend(!0,{},c.classes);this.c=v.extend(!0,{},c.defaults,b);this.s={criteria:[],depth:g,dt:a,index:e,isChild:f,logic:void 0,opts:b,preventRedraw:!1,serverData:l,toDrop:void 0,topGroup:d};this.dom={add:v("<button/>").addClass(this.classes.add).addClass(this.classes.button).attr("type",
+"button"),clear:v("<button>&times</button>").addClass(this.classes.button).addClass(this.classes.clearGroup).attr("type","button"),container:v("<div/>").addClass(this.classes.group),logic:v("<button><div/></button>").addClass(this.classes.logic).addClass(this.classes.button).attr("type","button"),logicContainer:v("<div/>").addClass(this.classes.logicContainer)};void 0===this.s.topGroup&&(this.s.topGroup=this.dom.container);this._setup();return this}c.prototype.destroy=function(){this.dom.add.off(".dtsb");
+this.dom.logic.off(".dtsb");this.dom.container.trigger("dtsb-destroy").remove();this.s.criteria=[]};c.prototype.getDetails=function(a){void 0===a&&(a=!1);if(0===this.s.criteria.length)return{};for(var b={criteria:[],logic:this.s.logic},d=0,e=this.s.criteria;d<e.length;d++)b.criteria.push(e[d].criteria.getDetails(a));return b};c.prototype.getNode=function(){return this.dom.container};c.prototype.rebuild=function(a){if(!(void 0===a.criteria||null===a.criteria||Array.isArray(a.criteria)&&0===a.criteria.length)){this.s.logic=
+a.logic;this.dom.logic.children().first().html("OR"===this.s.logic?this.s.dt.i18n("searchBuilder.logicOr",this.c.i18n.logicOr):this.s.dt.i18n("searchBuilder.logicAnd",this.c.i18n.logicAnd));if(Array.isArray(a.criteria))for(var b=0,d=a.criteria;b<d.length;b++)a=d[b],void 0!==a.logic?this._addPrevGroup(a):void 0===a.logic&&this._addPrevCriteria(a);b=0;for(d=this.s.criteria;b<d.length;b++)a=d[b],a.criteria instanceof q&&(a.criteria.updateArrows(1<this.s.criteria.length),this._setCriteriaListeners(a.criteria))}};
+c.prototype.redrawContents=function(){if(!this.s.preventRedraw){this.dom.container.children().detach();this.dom.container.append(this.dom.logicContainer).append(this.dom.add);this.s.criteria.sort(function(d,e){return d.criteria.s.index<e.criteria.s.index?-1:d.criteria.s.index>e.criteria.s.index?1:0});this.setListeners();for(var a=0;a<this.s.criteria.length;a++){var b=this.s.criteria[a].criteria;b instanceof q?(this.s.criteria[a].index=a,this.s.criteria[a].criteria.s.index=a,this.s.criteria[a].criteria.dom.container.insertBefore(this.dom.add),
+this._setCriteriaListeners(b),this.s.criteria[a].criteria.s.preventRedraw=this.s.preventRedraw,this.s.criteria[a].criteria.rebuild(this.s.criteria[a].criteria.getDetails()),this.s.criteria[a].criteria.s.preventRedraw=!1):b instanceof c&&0<b.s.criteria.length?(this.s.criteria[a].index=a,this.s.criteria[a].criteria.s.index=a,this.s.criteria[a].criteria.dom.container.insertBefore(this.dom.add),b.s.preventRedraw=this.s.preventRedraw,b.redrawContents(),b.s.preventRedraw=!1,this._setGroupListeners(b)):
+(this.s.criteria.splice(a,1),a--)}this.setupLogic()}};c.prototype.redrawLogic=function(){for(var a=0,b=this.s.criteria;a<b.length;a++){var d=b[a];d.criteria instanceof c&&d.criteria.redrawLogic()}this.setupLogic()};c.prototype.search=function(a,b){return"AND"===this.s.logic?this._andSearch(a,b):"OR"===this.s.logic?this._orSearch(a,b):!0};c.prototype.setupLogic=function(){this.dom.logicContainer.remove();this.dom.clear.remove();if(1>this.s.criteria.length)this.s.isChild||(this.dom.container.trigger("dtsb-destroy"),
+this.dom.container.css("margin-left",0));else{this.dom.clear.height("0px");this.dom.logicContainer.append(this.dom.clear);this.dom.container.prepend(this.dom.logicContainer);for(var a=0,b=this.s.criteria;a<b.length;a++){var d=b[a];d.criteria instanceof q&&d.criteria.setupButtons()}a=this.dom.container.outerHeight()-1;this.dom.logicContainer.width(a);this._setLogicListener();this.dom.container.css("margin-left",this.dom.logicContainer.outerHeight(!0));a=this.dom.logicContainer.offset();b=a.left;d=
+this.dom.container.offset().left;b=b-(b-d)-this.dom.logicContainer.outerHeight(!0);this.dom.logicContainer.offset({left:b});b=this.dom.logicContainer.next();a=a.top;b=v(b).offset().top;this.dom.logicContainer.offset({top:a-(a-b)});this.dom.clear.outerHeight(this.dom.logicContainer.height());this._setClearListener()}};c.prototype.setListeners=function(){var a=this;this.dom.add.unbind("click");this.dom.add.on("click.dtsb",function(){a.s.isChild||a.dom.container.prepend(a.dom.logicContainer);a.addCriteria();
+a.dom.container.trigger("dtsb-add");a.s.dt.state.save();return!1});for(var b=0,d=this.s.criteria;b<d.length;b++)d[b].criteria.setListeners();this._setClearListener();this._setLogicListener()};c.prototype.addCriteria=function(a){void 0===a&&(a=null);var b=null===a?this.s.criteria.length:a.s.index,d=new q(this.s.dt,this.s.opts,this.s.topGroup,b,this.s.depth,this.s.serverData);null!==a&&(d.c=a.c,d.s=a.s,d.s.depth=this.s.depth,d.classes=a.classes);d.populate();a=!1;for(var e=0;e<this.s.criteria.length;e++)0===
+e&&this.s.criteria[e].criteria.s.index>d.s.index?(d.getNode().insertBefore(this.s.criteria[e].criteria.dom.container),a=!0):e<this.s.criteria.length-1&&this.s.criteria[e].criteria.s.index<d.s.index&&this.s.criteria[e+1].criteria.s.index>d.s.index&&(d.getNode().insertAfter(this.s.criteria[e].criteria.dom.container),a=!0);a||d.getNode().insertBefore(this.dom.add);this.s.criteria.push({criteria:d,index:b});this.s.criteria=this.s.criteria.sort(function(f,g){return f.criteria.s.index-g.criteria.s.index});
+b=0;for(a=this.s.criteria;b<a.length;b++)e=a[b],e.criteria instanceof q&&e.criteria.updateArrows(1<this.s.criteria.length);this._setCriteriaListeners(d);d.setListeners();this.setupLogic()};c.prototype.checkFilled=function(){for(var a=0,b=this.s.criteria;a<b.length;a++){var d=b[a];if(d.criteria instanceof q&&d.criteria.s.filled||d.criteria instanceof c&&d.criteria.checkFilled())return!0}return!1};c.prototype.count=function(){for(var a=0,b=0,d=this.s.criteria;b<d.length;b++){var e=d[b];e.criteria instanceof
+c?a+=e.criteria.count():a++}return a};c.prototype._addPrevGroup=function(a){var b=this.s.criteria.length,d=new c(this.s.dt,this.c,this.s.topGroup,b,!0,this.s.depth+1,this.s.serverData);this.s.criteria.push({criteria:d,index:b,logic:d.s.logic});d.rebuild(a);this.s.criteria[b].criteria=d;this.s.topGroup.trigger("dtsb-redrawContents");this._setGroupListeners(d)};c.prototype._addPrevCriteria=function(a){var b=this.s.criteria.length,d=new q(this.s.dt,this.s.opts,this.s.topGroup,b,this.s.depth,this.s.serverData);
+d.populate();this.s.criteria.push({criteria:d,index:b});d.s.preventRedraw=this.s.preventRedraw;d.rebuild(a);d.s.preventRedraw=!1;this.s.criteria[b].criteria=d;this.s.preventRedraw||this.s.topGroup.trigger("dtsb-redrawContents")};c.prototype._andSearch=function(a,b){if(0===this.s.criteria.length)return!0;for(var d=0,e=this.s.criteria;d<e.length;d++){var f=e[d];if(!(f.criteria instanceof q&&!f.criteria.s.filled||f.criteria.search(a,b)))return!1}return!0};c.prototype._orSearch=function(a,b){if(0===this.s.criteria.length)return!0;
+for(var d=!1,e=0,f=this.s.criteria;e<f.length;e++){var g=f[e];if(g.criteria instanceof q&&g.criteria.s.filled){if(d=!0,g.criteria.search(a,b))return!0}else if(g.criteria instanceof c&&g.criteria.checkFilled()&&(d=!0,g.criteria.search(a,b)))return!0}return!d};c.prototype._removeCriteria=function(a,b){void 0===b&&(b=!1);if(1>=this.s.criteria.length&&this.s.isChild)this.destroy();else{for(var d=void 0,e=0;e<this.s.criteria.length;e++)this.s.criteria[e].index===a.s.index&&(!b||this.s.criteria[e].criteria instanceof
+c)&&(d=e);void 0!==d&&this.s.criteria.splice(d,1);for(e=0;e<this.s.criteria.length;e++)this.s.criteria[e].index=e,this.s.criteria[e].criteria.s.index=e}};c.prototype._setCriteriaListeners=function(a){var b=this;a.dom["delete"].unbind("click").on("click.dtsb",function(){b._removeCriteria(a);a.dom.container.remove();for(var d=0,e=b.s.criteria;d<e.length;d++){var f=e[d];f.criteria instanceof q&&f.criteria.updateArrows(1<b.s.criteria.length)}a.destroy();b.s.dt.draw();b.s.topGroup.trigger("dtsb-redrawContents");
+return!1});a.dom.right.unbind("click").on("click.dtsb",function(){var d=a.s.index,e=new c(b.s.dt,b.s.opts,b.s.topGroup,a.s.index,!0,b.s.depth+1,b.s.serverData);e.addCriteria(a);b.s.criteria[d].criteria=e;b.s.criteria[d].logic="AND";b.s.topGroup.trigger("dtsb-redrawContents");b._setGroupListeners(e);return!1});a.dom.left.unbind("click").on("click.dtsb",function(){b.s.toDrop=new q(b.s.dt,b.s.opts,b.s.topGroup,a.s.index,void 0,b.s.serverData);b.s.toDrop.s=a.s;b.s.toDrop.c=a.c;b.s.toDrop.classes=a.classes;
+b.s.toDrop.populate();var d=b.s.toDrop.s.index;b.dom.container.trigger("dtsb-dropCriteria");a.s.index=d;b._removeCriteria(a);b.s.topGroup.trigger("dtsb-redrawContents");b.s.dt.draw();return!1})};c.prototype._setClearListener=function(){var a=this;this.dom.clear.unbind("click").on("click.dtsb",function(){if(!a.s.isChild)return a.dom.container.trigger("dtsb-clearContents"),!1;a.destroy();a.s.topGroup.trigger("dtsb-redrawContents");return!1})};c.prototype._setGroupListeners=function(a){var b=this;a.dom.add.unbind("click").on("click.dtsb",
+function(){b.setupLogic();b.dom.container.trigger("dtsb-add");return!1});a.dom.container.unbind("dtsb-add").on("dtsb-add.dtsb",function(){b.setupLogic();b.dom.container.trigger("dtsb-add");return!1});a.dom.container.unbind("dtsb-destroy").on("dtsb-destroy.dtsb",function(){b._removeCriteria(a,!0);a.dom.container.remove();b.setupLogic();return!1});a.dom.container.unbind("dtsb-dropCriteria").on("dtsb-dropCriteria.dtsb",function(){var d=a.s.toDrop;d.s.index=a.s.index;d.updateArrows(1<b.s.criteria.length);
+b.addCriteria(d);return!1});a.setListeners()};c.prototype._setup=function(){this.setListeners();this.dom.add.html(this.s.dt.i18n("searchBuilder.add",this.c.i18n.add));this.dom.logic.children().first().html("OR"===this.c.logic?this.s.dt.i18n("searchBuilder.logicOr",this.c.i18n.logicOr):this.s.dt.i18n("searchBuilder.logicAnd",this.c.i18n.logicAnd));this.s.logic="OR"===this.c.logic?"OR":"AND";this.c.greyscale&&this.dom.logic.addClass(this.classes.greyscale);this.dom.logicContainer.append(this.dom.logic).append(this.dom.clear);
+this.s.isChild&&this.dom.container.append(this.dom.logicContainer);this.dom.container.append(this.dom.add)};c.prototype._setLogicListener=function(){var a=this;this.dom.logic.unbind("click").on("click.dtsb",function(){a._toggleLogic();a.s.dt.draw();for(var b=0,d=a.s.criteria;b<d.length;b++)d[b].criteria.setListeners()})};c.prototype._toggleLogic=function(){"OR"===this.s.logic?(this.s.logic="AND",this.dom.logic.children().first().html(this.s.dt.i18n("searchBuilder.logicAnd",this.c.i18n.logicAnd))):
+"AND"===this.s.logic&&(this.s.logic="OR",this.dom.logic.children().first().html(this.s.dt.i18n("searchBuilder.logicOr",this.c.i18n.logicOr)))};c.version="1.1.0";c.classes={add:"dtsb-add",button:"dtsb-button",clearGroup:"dtsb-clearGroup",greyscale:"dtsb-greyscale",group:"dtsb-group",inputButton:"dtsb-iptbtn",logic:"dtsb-logic",logicContainer:"dtsb-logicContainer"};c.defaults={columns:!0,conditions:{date:q.dateConditions,html:q.stringConditions,"html-num":q.numConditions,"html-num-fmt":q.numFmtConditions,
+luxon:q.luxonDateConditions,moment:q.momentDateConditions,num:q.numConditions,"num-fmt":q.numFmtConditions,string:q.stringConditions},depthLimit:!1,enterSearch:!1,filterChanged:void 0,greyscale:!1,i18n:{add:"Add Condition",button:{0:"Search Builder",_:"Search Builder (%d)"},clearAll:"Clear All",condition:"Condition",data:"Data","delete":"&times",deleteTitle:"Delete filtering rule",left:"<",leftTitle:"Outdent criteria",logicAnd:"And",logicOr:"Or",right:">",rightTitle:"Indent criteria",title:{0:"Custom Search Builder",
+_:"Custom Search Builder (%d)"},value:"Value",valueJoiner:"and"},logic:"AND",orthogonal:{display:"display",search:"filter"},preDefined:!1};return c}(),w,B,G=function(){function c(a,b){var d=this;if(!B||!B.versionCheck||!B.versionCheck("1.10.0"))throw Error("SearchBuilder requires DataTables 1.10 or newer");a=new B.Api(a);this.classes=w.extend(!0,{},c.classes);this.c=w.extend(!0,{},c.defaults,b);this.dom={clearAll:w('<button type="button">'+a.i18n("searchBuilder.clearAll",this.c.i18n.clearAll)+"</button>").addClass(this.classes.clearAll).addClass(this.classes.button).attr("type",
+"button"),container:w("<div/>").addClass(this.classes.container),title:w("<div/>").addClass(this.classes.title),titleRow:w("<div/>").addClass(this.classes.titleRow),topGroup:void 0};this.s={dt:a,opts:b,search:void 0,serverData:void 0,topGroup:void 0};if(void 0===a.settings()[0]._searchBuilder){a.settings()[0]._searchBuilder=this;this.s.dt.page.info().serverSide&&(this.s.dt.on("preXhr.dtsb",function(e,f,g){(e=d.s.dt.state.loaded())&&e.searchBuilder&&(g.searchBuilder=d._collapseArray(e.searchBuilder))}),
+this.s.dt.on("xhr.dtsb",function(e,f,g){g&&g.searchBuilder&&g.searchBuilder.options&&(d.s.serverData=g.searchBuilder.options)}));if(this.s.dt.settings()[0]._bInitComplete)this._setUp();else a.one("init.dt",function(){d._setUp()});return this}}c.prototype.getDetails=function(a){void 0===a&&(a=!1);return this.s.topGroup.getDetails(a)};c.prototype.getNode=function(){return this.dom.container};c.prototype.rebuild=function(a){this.dom.clearAll.click();if(void 0===a||null===a)return this;this.s.topGroup.s.preventRedraw=
+!0;this.s.topGroup.rebuild(a);this.s.topGroup.s.preventRedraw=!1;this._checkClear();this._updateTitle(this.s.topGroup.count());this.s.topGroup.redrawContents();this.s.dt.draw(!1);this.s.topGroup.setListeners();return this};c.prototype._applyPreDefDefaults=function(a){var b=this;void 0!==a.criteria&&void 0===a.logic&&(a.logic="AND");for(var d=function(l){void 0!==l.criteria?l=e._applyPreDefDefaults(l):e.s.dt.columns().every(function(p){b.s.dt.settings()[0].aoColumns[p].sTitle===l.data&&(l.dataIdx=
+p)})},e=this,f=0,g=a.criteria;f<g.length;f++)d(g[f]);return a};c.prototype._setUp=function(a){var b=this;void 0===a&&(a=!0);w.fn.DataTable.Api.registerPlural("columns().type()","column().type()",function(){return this.iterator("column",function(l,p){return l.aoColumns[p].sType},1)});if(!B.DateTime){var d=this.s.dt.columns().type().toArray();if(void 0===d||d.includes(void 0)||d.includes(null)){d=[];for(var e=0,f=this.s.dt.settings()[0].aoColumns;e<f.length;e++){var g=f[e];d.push(void 0!==g.searchBuilderType?
+g.searchBuilderType:g.sType)}}e=this.s.dt.columns().toArray();if(void 0===d||d.includes(void 0)||d.includes(null))w.fn.dataTable.ext.oApi._fnColumnTypes(this.s.dt.settings()[0]),d=this.s.dt.columns().type().toArray();for(f=0;f<e[0].length;f++)if(g=d[e[0][f]],(!0===this.c.columns||Array.isArray(this.c.columns)&&this.c.columns.includes(f))&&(g.includes("date")||g.includes("moment")||g.includes("luxon")))throw alert("SearchBuilder Requires DateTime when used with dates."),Error("SearchBuilder requires DateTime");
+}this.s.topGroup=new E(this.s.dt,this.c,void 0,void 0,void 0,void 0,this.s.serverData);this._setClearListener();this.s.dt.on("stateSaveParams.dtsb",function(l,p,t){t.searchBuilder=b.getDetails();t.scroller?t.start=b.s.dt.state().start:t.page=b.s.dt.page()});this.s.dt.on("stateLoadParams.dtsb",function(l,p,t){b.rebuild(t.searchBuilder)});this._build();this.s.dt.on("preXhr.dtsb",function(l,p,t){b.s.dt.page.info().serverSide&&(t.searchBuilder=b._collapseArray(b.getDetails(!0)))});this.s.dt.on("column-reorder",
+function(){b.rebuild(b.getDetails())});a&&(a=this.s.dt.state.loaded(),null!==a&&void 0!==a.searchBuilder?(this.s.topGroup.rebuild(a.searchBuilder),this.s.topGroup.dom.container.trigger("dtsb-redrawContents"),this.s.dt.page.info().serverSide||(a.page?this.s.dt.page(a.page).draw("page"):this.s.dt.scroller&&a.scroller&&this.s.dt.scroller().scrollToRow(a.scroller.topRow)),this.s.topGroup.setListeners()):!1!==this.c.preDefined&&(this.c.preDefined=this._applyPreDefDefaults(this.c.preDefined),this.rebuild(this.c.preDefined)));
+this._setEmptyListener();this.s.dt.state.save()};c.prototype._collapseArray=function(a){if(void 0===a.logic)void 0!==a.value&&(a.value.sort(function(d,e){isNaN(+d)||(d=+d,e=+e);return d<e?-1:e<d?1:0}),a.value1=a.value[0],a.value2=a.value[1]);else for(var b=0;b<a.criteria.length;b++)a.criteria[b]=this._collapseArray(a.criteria[b]);return a};c.prototype._updateTitle=function(a){this.dom.title.html(this.s.dt.i18n("searchBuilder.title",this.c.i18n.title,a))};c.prototype._build=function(){var a=this;this.dom.clearAll.remove();
+this.dom.container.empty();var b=this.s.topGroup.count();this._updateTitle(b);this.dom.titleRow.append(this.dom.title);this.dom.container.append(this.dom.titleRow);this.dom.topGroup=this.s.topGroup.getNode();this.dom.container.append(this.dom.topGroup);this._setRedrawListener();var d=this.s.dt.table(0).node();w.fn.dataTable.ext.search.includes(this.s.search)||(this.s.search=function(e,f,g){return e.nTable!==d?!0:a.s.topGroup.search(f,g)},w.fn.dataTable.ext.search.push(this.s.search));this.s.dt.on("destroy.dtsb",
+function(){a.dom.container.remove();a.dom.clearAll.remove();for(var e=w.fn.dataTable.ext.search.indexOf(a.s.search);-1!==e;)w.fn.dataTable.ext.search.splice(e,1),e=w.fn.dataTable.ext.search.indexOf(a.s.search);a.s.dt.off(".dtsb");w(a.s.dt.table().node()).off(".dtsb")})};c.prototype._checkClear=function(){0<this.s.topGroup.s.criteria.length?(this.dom.clearAll.insertAfter(this.dom.title),this._setClearListener()):this.dom.clearAll.remove()};c.prototype._filterChanged=function(a){var b=this.c.filterChanged;
+"function"===typeof b&&b(a,this.s.dt.i18n("searchBuilder.button",this.c.i18n.button,a))};c.prototype._setClearListener=function(){var a=this;this.dom.clearAll.unbind("click");this.dom.clearAll.on("click.dtsb",function(){a.s.topGroup=new E(a.s.dt,a.c,void 0,void 0,void 0,void 0,a.s.serverData);a._build();a.s.dt.draw();a.s.topGroup.setListeners();a.dom.clearAll.remove();a._setEmptyListener();a._filterChanged(0);return!1})};c.prototype._setRedrawListener=function(){var a=this;this.s.topGroup.dom.container.unbind("dtsb-redrawContents");
+this.s.topGroup.dom.container.on("dtsb-redrawContents.dtsb",function(){a._checkClear();a.s.topGroup.redrawContents();a.s.topGroup.setupLogic();a._setEmptyListener();var b=a.s.topGroup.count();a._updateTitle(b);a._filterChanged(b);a.s.dt.page.info().serverSide||a.s.dt.draw();a.s.dt.state.save()});this.s.topGroup.dom.container.unbind("dtsb-redrawContents-noDraw");this.s.topGroup.dom.container.on("dtsb-redrawContents-noDraw.dtsb",function(){a._checkClear();a.s.topGroup.s.preventRedraw=!0;a.s.topGroup.redrawContents();
+a.s.topGroup.s.preventRedraw=!1;a.s.topGroup.setupLogic();a._setEmptyListener();var b=a.s.topGroup.count();a._updateTitle(b);a._filterChanged(b)});this.s.topGroup.dom.container.unbind("dtsb-redrawLogic");this.s.topGroup.dom.container.on("dtsb-redrawLogic.dtsb",function(){a.s.topGroup.redrawLogic();var b=a.s.topGroup.count();a._updateTitle(b);a._filterChanged(b)});this.s.topGroup.dom.container.unbind("dtsb-add");this.s.topGroup.dom.container.on("dtsb-add.dtsb",function(){var b=a.s.topGroup.count();
+a._updateTitle(b);a._filterChanged(b)});this.s.dt.on("postEdit.dtsb postCreate.dtsb postRemove.dtsb",function(){a.s.topGroup.redrawContents()});this.s.topGroup.dom.container.unbind("dtsb-clearContents");this.s.topGroup.dom.container.on("dtsb-clearContents.dtsb",function(){a._setUp(!1);a._filterChanged(0);a.s.dt.draw()})};c.prototype._setEmptyListener=function(){var a=this;this.s.topGroup.dom.add.on("click.dtsb",function(){a._checkClear()});this.s.topGroup.dom.container.on("dtsb-destroy.dtsb",function(){a.dom.clearAll.remove()})};
+c.version="1.3.4";c.classes={button:"dtsb-button",clearAll:"dtsb-clearAll",container:"dtsb-searchBuilder",inputButton:"dtsb-iptbtn",title:"dtsb-title",titleRow:"dtsb-titleRow"};c.defaults={columns:!0,conditions:{date:q.dateConditions,html:q.stringConditions,"html-num":q.numConditions,"html-num-fmt":q.numFmtConditions,luxon:q.luxonDateConditions,moment:q.momentDateConditions,num:q.numConditions,"num-fmt":q.numFmtConditions,string:q.stringConditions},depthLimit:!1,enterSearch:!1,filterChanged:void 0,
+greyscale:!1,i18n:{add:"Add Condition",button:{0:"Search Builder",_:"Search Builder (%d)"},clearAll:"Clear All",condition:"Condition",conditions:{array:{contains:"Contains",empty:"Empty",equals:"Equals",not:"Not",notEmpty:"Not Empty",without:"Without"},date:{after:"After",before:"Before",between:"Between",empty:"Empty",equals:"Equals",not:"Not",notBetween:"Not Between",notEmpty:"Not Empty"},number:{between:"Between",empty:"Empty",equals:"Equals",gt:"Greater Than",gte:"Greater Than Equal To",lt:"Less Than",
+lte:"Less Than Equal To",not:"Not",notBetween:"Not Between",notEmpty:"Not Empty"},string:{contains:"Contains",empty:"Empty",endsWith:"Ends With",equals:"Equals",not:"Not",notContains:"Does Not Contain",notEmpty:"Not Empty",notEndsWith:"Does Not End With",notStartsWith:"Does Not Start With",startsWith:"Starts With"}},data:"Data","delete":"&times",deleteTitle:"Delete filtering rule",left:"<",leftTitle:"Outdent criteria",logicAnd:"And",logicOr:"Or",right:">",rightTitle:"Indent criteria",title:{0:"Custom Search Builder",
+_:"Custom Search Builder (%d)"},value:"Value",valueJoiner:"and"},logic:"AND",orthogonal:{display:"display",search:"filter"},preDefined:!1};return c}();(function(c){"function"===typeof define&&define.amd?define(["jquery","datatables.net"],function(a){return c(a,window,document)}):"object"===typeof exports?module.exports=function(a,b){a||(a=window);b&&b.fn.dataTable||(b=require("datatables.net")(a,b).$);return c(b,a,a.document)}:c(window.jQuery,window,document)})(function(c,a,b){function d(f,g){f=new e.Api(f);
+g=g?g:f.init().searchBuilder||e.defaults.searchBuilder;return(new G(f,g)).getNode()}m(c);n(c);k(c);var e=c.fn.dataTable;c.fn.dataTable.SearchBuilder=G;c.fn.DataTable.SearchBuilder=G;c.fn.dataTable.Group=E;c.fn.DataTable.Group=E;c.fn.dataTable.Criteria=q;c.fn.DataTable.Criteria=q;a=c.fn.dataTable.Api.register;c.fn.dataTable.ext.searchBuilder={conditions:{}};c.fn.dataTable.ext.buttons.searchBuilder={action:function(f,g,l,p){this.popover(p._searchBuilder.getNode(),{align:"container",span:"container"});
+f=p._searchBuilder.s.topGroup;void 0!==f&&f.dom.container.trigger("dtsb-redrawContents-noDraw");0===f.s.criteria.length&&c("."+c.fn.dataTable.Group.classes.add.replace(/ /g,".")).click()},config:{},init:function(f,g,l){var p=new c.fn.dataTable.SearchBuilder(f,c.extend({filterChanged:function(t,A){f.button(g).text(A)}},l.config));f.button(g).text(l.text||f.i18n("searchBuilder.button",p.c.i18n.button,0));l._searchBuilder=p},text:null};a("searchBuilder.getDetails()",function(f){void 0===f&&(f=!1);var g=
+this.context[0];return g._searchBuilder?g._searchBuilder.getDetails(f):null});a("searchBuilder.rebuild()",function(f){var g=this.context[0];if(void 0===g._searchBuilder)return null;g._searchBuilder.rebuild(f);return this});a("searchBuilder.container()",function(){var f=this.context[0];return f._searchBuilder?f._searchBuilder.getNode():null});c(b).on("preInit.dt.dtsp",function(f,g){"dt"===f.namespace&&(g.oInit.searchBuilder||e.defaults.searchBuilder)&&(g._searchBuilder||d(g))});e.ext.feature.push({cFeature:"Q",
+fnInit:d});e.ext.features&&e.ext.features.register("searchBuilder",d)})})();
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/SearchBuilder/js/searchBuilder.dataTables.min.js
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/SearchBuilder/js/searchBuilder.dataTables.min.js	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/SearchBuilder/js/searchBuilder.dataTables.min.js	(revision 3761)
@@ -0,0 +1,5 @@
+/*!
+ DataTables integration for DataTables' SearchBuilder
+ Â©2016 SpryMedia Ltd - datatables.net/license
+*/
+(function(c){"function"===typeof define&&define.amd?define(["jquery","datatables.net-dt","datatables.net-searchbuilder"],function(b){return c(b)}):"object"===typeof exports?module.exports=function(b,a){b||(b=window);a&&a.fn.dataTable||(a=require("datatables.net-dt")(b,a).$);a.fn.dataTable.searchBuilder||require("datatables.net-searchbuilder")(b,a);return c(a)}:c(jQuery)})(function(c){return c.fn.dataTable.searchPanes});
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/SearchBuilder/js/searchBuilder.foundation.min.js
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/SearchBuilder/js/searchBuilder.foundation.min.js	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/SearchBuilder/js/searchBuilder.foundation.min.js	(revision 3761)
@@ -0,0 +1,6 @@
+/*!
+ Foundation ui integration for DataTables' SearchBuilder
+ Â©2016 SpryMedia Ltd - datatables.net/license
+*/
+(function(b){"function"===typeof define&&define.amd?define(["jquery","datatables.net-zf","datatables.net-searchbuilder"],function(a){return b(a)}):"object"===typeof exports?module.exports=function(a,c){a||(a=window);c&&c.fn.dataTable||(c=require("datatables.net-zf")(a,c).$);c.fn.dataTable.searchBuilder||require("datatables.net-searchbuilder")(a,c);return b(c)}:b(jQuery)})(function(b){var a=b.fn.dataTable;b.extend(!0,a.SearchBuilder.classes,{clearAll:"button alert dtsb-clearAll"});b.extend(!0,a.Group.classes,
+{add:"button dtsb-add",clearGroup:"button dtsb-clearGroup",logic:"button dtsb-logic"});b.extend(!0,a.Criteria.classes,{condition:"form-control dtsb-condition",data:"form-control dtsb-data","delete":"button alert dtsb-delete",left:"button dtsb-left",right:"button dtsb-right",value:"form-control dtsb-value"});return a.searchPanes});
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/SearchBuilder/js/searchBuilder.bootstrap.min.js
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/SearchBuilder/js/searchBuilder.bootstrap.min.js	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/SearchBuilder/js/searchBuilder.bootstrap.min.js	(revision 3761)
@@ -0,0 +1,6 @@
+/*!
+ Bootstrap ui integration for DataTables' SearchBuilder
+ Â©2016 SpryMedia Ltd - datatables.net/license
+*/
+(function(b){"function"===typeof define&&define.amd?define(["jquery","datatables.net-bs","datatables.net-searchbuilder"],function(a){return b(a)}):"object"===typeof exports?module.exports=function(a,c){a||(a=window);c&&c.fn.dataTable||(c=require("datatables.net-bs")(a,c).$);c.fn.dataTable.searchBuilder||require("datatables.net-searchbuilder")(a,c);return b(c)}:b(jQuery)})(function(b){var a=b.fn.dataTable;b.extend(!0,a.SearchBuilder.classes,{clearAll:"btn btn-default dtsb-clearAll"});b.extend(!0,a.Group.classes,
+{add:"btn btn-default dtsb-add",clearGroup:"btn btn-default dtsb-clearGroup",logic:"btn btn-default dtsb-logic"});b.extend(!0,a.Criteria.classes,{condition:"form-control dtsb-condition",data:"form-control dtsb-data","delete":"btn btn-default dtsb-delete",left:"btn btn-default dtsb-left",right:"btn btn-default dtsb-right",value:"form-control dtsb-value"});return a.searchPanes});
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/SearchBuilder/js/searchBuilder.jqueryui.min.js
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/SearchBuilder/js/searchBuilder.jqueryui.min.js	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/SearchBuilder/js/searchBuilder.jqueryui.min.js	(revision 3761)
@@ -0,0 +1,7 @@
+/*!
+ JQuery ui ui integration for DataTables' SearchBuilder
+ Â©2016 SpryMedia Ltd - datatables.net/license
+*/
+(function(b){"function"===typeof define&&define.amd?define(["jquery","datatables.net-ju","datatables.net-searchbuilder"],function(a){return b(a)}):"object"===typeof exports?module.exports=function(a,c){a||(a=window);c&&c.fn.dataTable||(c=require("datatables.net-ju")(a,c).$);c.fn.dataTable.searchBuilder||require("datatables.net-searchbuilder")(a,c);return b(c)}:b(jQuery)})(function(b){var a=b.fn.dataTable;b.extend(!0,a.SearchBuilder.classes,{clearAll:"ui-button ui-corner-all ui-widget dtsb-clearAll"});
+b.extend(!0,a.Group.classes,{add:"ui-button ui-corner-all ui-widget dtsb-add",clearGroup:"ui-button ui-corner-all ui-widget dtsb-clearGroup",logic:"ui-button ui-corner-all ui-widget dtsb-logic"});b.extend(!0,a.Criteria.classes,{condition:"ui-selectmenu-button ui-button ui-widget ui-selectmenu-button-closed ui-corner-all dtsb-condition",data:"ui-selectmenu-button ui-button ui-widget ui-selectmenu-button-closed ui-corner-all dtsb-data","delete":"ui-button ui-corner-all ui-widget dtsb-delete",left:"ui-button ui-corner-all ui-widget dtsb-left",
+right:"ui-button ui-corner-all ui-widget dtsb-right",value:"ui-selectmenu-button ui-button ui-widget ui-selectmenu-button-closed ui-corner-all dtsb-value"});return a.searchPanes});
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/SearchBuilder/js/searchBuilder.bulma.min.js
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/SearchBuilder/js/searchBuilder.bulma.min.js	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/SearchBuilder/js/searchBuilder.bulma.min.js	(revision 3761)
@@ -0,0 +1,6 @@
+/*!
+ Bulma ui integration for DataTables' SearchBuilder
+ Â©2016 SpryMedia Ltd - datatables.net/license
+*/
+(function(b){"function"===typeof define&&define.amd?define(["jquery","datatables.net-bs5","datatables.net-searchbuilder"],function(a){return b(a)}):"object"===typeof exports?module.exports=function(a,c){a||(a=window);c&&c.fn.dataTable||(c=require("datatables.net-bs5")(a,c).$);c.fn.dataTable.searchBuilder||require("datatables.net-searchbuilder")(a,c);return b(c)}:b(jQuery)})(function(b){var a=b.fn.dataTable;b.extend(!0,a.SearchBuilder.classes,{clearAll:"button dtsb-clearAll"});b.extend(!0,a.Group.classes,
+{add:"button dtsb-add",clearGroup:"button dtsb-clearGroup is-light",logic:"button dtsb-logic is-light"});b.extend(!0,a.Criteria.classes,{container:"dtsb-criteria","delete":"button dtsb-delete",left:"button dtsb-left",right:"button dtsb-right"});return a.searchPanes});
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/SearchBuilder/js/searchBuilder.bootstrap4.min.js
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/SearchBuilder/js/searchBuilder.bootstrap4.min.js	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/SearchBuilder/js/searchBuilder.bootstrap4.min.js	(revision 3761)
@@ -0,0 +1,2 @@
+(function(b){"function"===typeof define&&define.amd?define(["jquery","datatables.net-bs4","datatables.net-searchbuilder"],function(a){return b(a)}):"object"===typeof exports?module.exports=function(a,c){a||(a=window);c&&c.fn.dataTable||(c=require("datatables.net-bs4")(a,c).$);c.fn.dataTable.searchBuilder||require("datatables.net-searchbuilder")(a,c);return b(c)}:b(jQuery)})(function(b){var a=b.fn.dataTable;b.extend(!0,a.SearchBuilder.classes,{clearAll:"btn btn-light dtsb-clearAll"});b.extend(!0,a.Group.classes,
+{add:"btn btn-light dtsb-add",clearGroup:"btn btn-light dtsb-clearGroup",logic:"btn btn-light dtsb-logic"});b.extend(!0,a.Criteria.classes,{condition:"form-control dtsb-condition",data:"form-control dtsb-data","delete":"btn btn-light dtsb-delete",left:"btn btn-light dtsb-left",right:"btn btn-light dtsb-right",value:"form-control dtsb-value"});return a.searchPanes});
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/SearchBuilder/js/searchBuilder.semanticui.min.js
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/SearchBuilder/js/searchBuilder.semanticui.min.js	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/SearchBuilder/js/searchBuilder.semanticui.min.js	(revision 3761)
@@ -0,0 +1,7 @@
+/*!
+ semantic ui integration for DataTables' SearchBuilder
+ Â©2016 SpryMedia Ltd - datatables.net/license
+*/
+(function(b){"function"===typeof define&&define.amd?define(["jquery","datatables.net-se","datatables.net-searchbuilder"],function(a){return b(a)}):"object"===typeof exports?module.exports=function(a,c){a||(a=window);c&&c.fn.dataTable||(c=require("datatables.net-se")(a,c).$);c.fn.dataTable.searchBuilder||require("datatables.net-searchbuilder")(a,c);return b(c)}:b(jQuery)})(function(b){var a=b.fn.dataTable;b.extend(!0,a.SearchBuilder.classes,{clearAll:"basic ui button dtsb-clearAll"});b.extend(!0,a.Group.classes,
+{add:"basic ui button dtsb-add",clearGroup:"basic ui button dtsb-clearGroup",logic:"basic ui button dtsb-logic"});b.extend(!0,a.Criteria.classes,{condition:"ui selection dropdown dtsb-condition",data:"ui selection dropdown dtsb-data","delete":"basic ui button dtsb-delete",left:"basic ui button dtsb-left",right:"basic ui button dtsb-right",value:"basic ui selection dropdown dtsb-value"});a.ext.buttons.searchBuilder.action=function(c,e,f,d){c.stopPropagation();this.popover(d._searchBuilder.getNode(),
+{align:"container",span:"container"});void 0!==d._searchBuilder.s.topGroup&&d._searchBuilder.s.topGroup.dom.container.trigger("dtsb-redrawContents");b("div.dtsb-searchBuilder").removeClass("ui basic vertical buttons")};return a.searchPanes});
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/SearchBuilder/js/searchBuilder.bootstrap5.min.js
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/SearchBuilder/js/searchBuilder.bootstrap5.min.js	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/SearchBuilder/js/searchBuilder.bootstrap5.min.js	(revision 3761)
@@ -0,0 +1,6 @@
+/*!
+ Bootstrap 5 ui integration for DataTables' SearchBuilder
+ Â©2016 SpryMedia Ltd - datatables.net/license
+*/
+(function(b){"function"===typeof define&&define.amd?define(["jquery","datatables.net-bs5","datatables.net-searchbuilder"],function(a){return b(a)}):"object"===typeof exports?module.exports=function(a,c){a||(a=window);c&&c.fn.dataTable||(c=require("datatables.net-bs5")(a,c).$);c.fn.dataTable.searchBuilder||require("datatables.net-searchbuilder")(a,c);return b(c)}:b(jQuery)})(function(b){var a=b.fn.dataTable;b.extend(!0,a.SearchBuilder.classes,{clearAll:"btn btn-light dtsb-clearAll"});b.extend(!0,a.Group.classes,
+{add:"btn btn-light dtsb-add",clearGroup:"btn btn-light dtsb-clearGroup",logic:"btn btn-light dtsb-logic"});b.extend(!0,a.Criteria.classes,{condition:"form-select dtsb-condition",data:"dtsb-data form-select","delete":"btn btn-light dtsb-delete",input:"form-control dtsb-input",left:"btn btn-light dtsb-left",right:"btn btn-light dtsb-right",select:"form-select",value:"dtsb-value"});return a.searchPanes});
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/SearchPanes/css/searchPanes.bootstrap.min.css
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/SearchPanes/css/searchPanes.bootstrap.min.css	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/SearchPanes/css/searchPanes.bootstrap.min.css	(revision 3761)
@@ -0,0 +1 @@
+div.dtsp-topRow{display:flex;flex-direction:row;flex-wrap:nowrap;border:2px solid rgba(0, 0, 0, 0);border-radius:3px;justify-content:space-around;align-content:flex-start;align-items:flex-start;min-height:37px}div.dtsp-topRow input.dtsp-search{text-overflow:ellipsis;min-width:50px;flex-basis:90px;max-width:none}div.dtsp-topRow input.dtsp-search::placeholder{color:black}div.dtsp-topRow div.dtsp-subRow1{display:flex;flex-direction:row;flex-wrap:nowrap;flex:1 1 auto}div.dtsp-topRow div.dtsp-subRow1 div.dtsp-searchCont{position:relative;width:100%}div.dtsp-topRow div.dtsp-subRow1 div.dtsp-searchCont input.dtsp-disabledButton{padding-top:10px;padding-bottom:10px;background-color:transparent}div.dtsp-topRow div.dtsp-subRow1 input{padding-right:2em;width:100% !important;box-sizing:border-box;font-size:1em}div.dtsp-topRow div.dtsp-subRow1 button.dtsp-searchIcon{position:absolute;top:0;right:0;bottom:0;background-image:url("data:image/png;base64,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") !important;background-repeat:no-repeat;background-position:center;background-size:12px}div.dtsp-topRow div.dtsp-subRow2{white-space:nowrap;flex:0 0 auto}div.dtsp-topRow button.dtsp-nameButton{background-image:url("data:image/png;base64,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") !important;background-repeat:no-repeat;background-position:center;background-size:23px;vertical-align:bottom}div.dtsp-topRow button.dtsp-countButton{background-image:url("data:image/png;base64,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") !important;background-repeat:no-repeat;background-position:center;background-size:18px;vertical-align:bottom}div.dtsp-topRow button.dtsp-collapseButton span.dtsp-caret{position:relative;top:2px;display:inline-block}div.dtsp-topRow button.dtsp-collapseButton.dtsp-rotated{transform:rotate(180deg)}div.dtsp-topRow.dtsp-bordered{border:2px solid #f0f0f0;border-radius:3px}div.dtsp-topRow.dtsp-bordered:hover{background-color:#f0f0f0;opacity:.6;border:2px solid #cfcfcf;border-radius:3px;cursor:pointer !important}div.dtsp-panesContainer div.dtsp-searchPanes div.dtsp-searchPane table thead th,div.dtsp-panesContainer div.dtsp-searchPanes div.dtsp-searchPane table thead td{width:100% !important}div.dt-button-collection{z-index:2002}div.dt-button-collection.dtb-collection-closeable div.dtsp-titleRow{padding-right:25px}div.dtsp-columns-1{max-width:100%;min-width:100%;margin:0px !important}div.dtsp-columns-2{max-width:49%;min-width:49%;margin:0px !important}div.dtsp-columns-3{max-width:32%;min-width:32%;margin:0px !important}div.dtsp-columns-4{max-width:24%;min-width:24%;margin:0px !important}div.dtsp-columns-5{max-width:19%;min-width:19%;margin:0px !important}div.dtsp-columns-6{max-width:16%;min-width:16%;margin:0px !important}div.dtsp-columns-7{max-width:14%;min-width:14%;margin:0px !important}div.dtsp-columns-8{max-width:12%;min-width:12%;margin:0px !important}div.dtsp-columns-9{max-width:10.5%;min-width:10.5%;margin:0px !important}div.dtsp-narrow{flex-direction:column !important}div.dtsp-narrow div.dtsp-subRow1,div.dtsp-narrow div.dtsp-subRow2{width:100%}div.dtsp-narrow div.dtsp-subRow2 button{margin:0 !important;width:25% !important}div.dt-button-collection{float:none}div.dtsp-panesContainer{margin-bottom:1em}div.dtsp-panesContainer div.dataTables_wrapper{width:100%}div.dtsp-panesContainer div.dataTables_wrapper div.dataTables_layout_cell{padding:0}div.dtsp-panesContainer div.dataTables_wrapper div.dataTables_scrollHead{display:none !important}div.dtsp-panesContainer div.dataTables_wrapper div.dataTables_scrollBody{background:white !important;border-bottom:none}div.dtsp-panesContainer div.dataTables_wrapper div.dataTables_scrollBody thead{display:none}div.dtsp-panesContainer div.dataTables_wrapper div.dataTables_scrollBody table{table-layout:fixed}div.dtsp-panesContainer div.dataTables_wrapper div.dataTables_scrollBody table tr>th,div.dtsp-panesContainer div.dataTables_wrapper div.dataTables_scrollBody table tr>td{padding:5px 10px}div.dtsp-panesContainer div.dataTables_wrapper div.dataTables_scrollBody td.dtsp-nameColumn{width:100% !important}div.dtsp-panesContainer div.dataTables_wrapper div.dataTables_scrollBody div.dtsp-nameCont{width:100%;display:flex;flex-direction:row;justify-content:flex-start;align-content:flex-start;align-items:flex-start}div.dtsp-panesContainer div.dataTables_wrapper div.dataTables_scrollBody div.dtsp-nameCont span.dtsp-name,div.dtsp-panesContainer div.dataTables_wrapper div.dataTables_scrollBody div.dtsp-nameCont span.dtsp-pill{cursor:default}div.dtsp-panesContainer div.dataTables_wrapper div.dataTables_scrollBody div.dtsp-nameCont span.dtsp-name{text-overflow:ellipsis;overflow:hidden;display:inline-block;vertical-align:middle;white-space:nowrap;flex-grow:1;text-align:left}div.dtsp-panesContainer div.dataTables_wrapper div.dataTables_scrollBody div.dtsp-nameCont span.dtsp-pill{display:inline-block;background-color:#cfcfcf;text-align:center;border:1px solid #cfcfcf;border-radius:10px;width:auto;min-width:30px;color:black;font-size:.9em;padding:0 4px}div.dtsp-panesContainer div.dataTables_wrapper div.dataTables_scrollBody div.dtsp-nameCont span.dtsp-pill:empty{display:none}div.dtsp-panesContainer{clear:both;padding-left:0;padding-right:0;text-align:center}div.dtsp-panesContainer div.dtsp-searchPanes{display:flex;flex-direction:row;flex-wrap:wrap;justify-content:space-between;align-content:flex-start;align-items:stretch;clear:both;text-align:left}div.dtsp-panesContainer div.dtsp-searchPanes div.dtsp-searchPane{flex-grow:1;flex-shrink:0;font-size:.9em;margin-top:15px !important}div.dtsp-panesContainer div.dtsp-searchPanes div.dtsp-searchPane div.dataTables_wrapper{flex:1;box-sizing:border-box}div.dtsp-panesContainer div.dtsp-searchPanes div.dtsp-searchPane div.dataTables_wrapper div.dataTables_filter{display:none}div.dtsp-panesContainer div.dtsp-title{float:left;padding:10px 0}div.dtsp-panesContainer button.dtsp-clearAll,div.dtsp-panesContainer button.dtsp-collapseAll,div.dtsp-panesContainer button.dtsp-showAll{float:right;padding:10px}div.dtsp-hidden{display:none !important}button.dtsp-clearAll,button.dtsp-showAll{margin-left:3px !important}div.dt-button-collection{z-index:2002 !important}div.dt-button-collection div.dtsp-panesContainer{padding:5px;z-index:2002;width:100%}div.dtsp-searchPane div.dtsp-topRow{margin:.5em 0}div.dtsp-searchPane div.dtsp-topRow div.dtsp-searchCont input.dtsp-search{min-height:34px;padding-top:0px;padding-bottom:0px}div.dtsp-searchPane div.dtsp-topRow div.dtsp-searchCont input.dtsp-paneInputButton{padding-top:0px;padding-bottom:0px}div.dtsp-searchPane div.dtsp-topRow div.dtsp-subRow2{margin-left:.5em}div.dtsp-searchPane div.dtsp-topRow button{border:1px solid #ced4da;width:35px;height:34px}div.dtsp-searchPane div.dtsp-topRow span.dtsp-caret{top:4px}div.dtsp-searchPane div.dtsp-topRow button.dtsp-rotated{transform:none}div.dtsp-searchPane div.dtsp-topRow button.dtsp-rotated span{transform:rotate(180deg);top:-2px}div.dtsp-searchPane div.dtsp-topRow.dtsp-bordered:hover button.disabled{cursor:pointer !important;pointer-events:none}div.dtsp-searchPane div.dtsp-topRow.dtsp-bordered:hover input.dtsp-paneInputButton{pointer-events:none}div.dtsp-searchPane div.dataTables_wrapper{border:2px #f0f0f0 solid;border-radius:4px}div.dtsp-searchPane div.dataTables_wrapper:hover{border:2px solid #cfcfcf !important}div.dtsp-searchPane div.dataTables_wrapper div.dtsp-nameCont span.badge{min-width:30px}
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/SearchPanes/css/searchPanes.jqueryui.min.css
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/SearchPanes/css/searchPanes.jqueryui.min.css	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/SearchPanes/css/searchPanes.jqueryui.min.css	(revision 3761)
@@ -0,0 +1 @@
+div.dtsp-topRow{display:flex;flex-direction:row;flex-wrap:nowrap;border:2px solid rgba(0, 0, 0, 0);border-radius:3px;justify-content:space-around;align-content:flex-start;align-items:flex-start;min-height:37px}div.dtsp-topRow input.dtsp-search{text-overflow:ellipsis;min-width:50px;flex-basis:90px;max-width:none}div.dtsp-topRow input.dtsp-search::placeholder{color:black}div.dtsp-topRow div.dtsp-subRow1{display:flex;flex-direction:row;flex-wrap:nowrap;flex:1 1 auto}div.dtsp-topRow div.dtsp-subRow1 div.dtsp-searchCont{position:relative;width:100%}div.dtsp-topRow div.dtsp-subRow1 div.dtsp-searchCont input.dtsp-disabledButton{padding-top:10px;padding-bottom:10px;background-color:transparent}div.dtsp-topRow div.dtsp-subRow1 input{padding-right:2em;width:100% !important;box-sizing:border-box;font-size:1em}div.dtsp-topRow div.dtsp-subRow1 button.dtsp-searchIcon{position:absolute;top:0;right:0;bottom:0;background-image:url("data:image/png;base64,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") !important;background-repeat:no-repeat;background-position:center;background-size:12px}div.dtsp-topRow div.dtsp-subRow2{white-space:nowrap;flex:0 0 auto}div.dtsp-topRow button.dtsp-nameButton{background-image:url("data:image/png;base64,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") !important;background-repeat:no-repeat;background-position:center;background-size:23px;vertical-align:bottom}div.dtsp-topRow button.dtsp-countButton{background-image:url("data:image/png;base64,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") !important;background-repeat:no-repeat;background-position:center;background-size:18px;vertical-align:bottom}div.dtsp-topRow button.dtsp-collapseButton span.dtsp-caret{position:relative;top:2px;display:inline-block}div.dtsp-topRow button.dtsp-collapseButton.dtsp-rotated{transform:rotate(180deg)}div.dtsp-topRow.dtsp-bordered{border:2px solid #f0f0f0;border-radius:3px}div.dtsp-topRow.dtsp-bordered:hover{background-color:#f0f0f0;opacity:.6;border:2px solid #cfcfcf;border-radius:3px;cursor:pointer !important}div.dtsp-panesContainer div.dtsp-searchPanes div.dtsp-searchPane table thead th,div.dtsp-panesContainer div.dtsp-searchPanes div.dtsp-searchPane table thead td{width:100% !important}div.dt-button-collection{z-index:2002}div.dt-button-collection.dtb-collection-closeable div.dtsp-titleRow{padding-right:25px}div.dtsp-columns-1{max-width:100%;min-width:100%;margin:0px !important}div.dtsp-columns-2{max-width:49%;min-width:49%;margin:0px !important}div.dtsp-columns-3{max-width:32%;min-width:32%;margin:0px !important}div.dtsp-columns-4{max-width:24%;min-width:24%;margin:0px !important}div.dtsp-columns-5{max-width:19%;min-width:19%;margin:0px !important}div.dtsp-columns-6{max-width:16%;min-width:16%;margin:0px !important}div.dtsp-columns-7{max-width:14%;min-width:14%;margin:0px !important}div.dtsp-columns-8{max-width:12%;min-width:12%;margin:0px !important}div.dtsp-columns-9{max-width:10.5%;min-width:10.5%;margin:0px !important}div.dtsp-narrow{flex-direction:column !important}div.dtsp-narrow div.dtsp-subRow1,div.dtsp-narrow div.dtsp-subRow2{width:100%}div.dtsp-narrow div.dtsp-subRow2 button{margin:0 !important;width:25% !important}div.dt-button-collection{float:none}div.dtsp-panesContainer{margin-bottom:1em}div.dtsp-panesContainer div.dataTables_wrapper{width:100%}div.dtsp-panesContainer div.dataTables_wrapper div.dataTables_layout_cell{padding:0}div.dtsp-panesContainer div.dataTables_wrapper div.dataTables_scrollHead{display:none !important}div.dtsp-panesContainer div.dataTables_wrapper div.dataTables_scrollBody{background:white !important;border-bottom:none}div.dtsp-panesContainer div.dataTables_wrapper div.dataTables_scrollBody thead{display:none}div.dtsp-panesContainer div.dataTables_wrapper div.dataTables_scrollBody table{table-layout:fixed}div.dtsp-panesContainer div.dataTables_wrapper div.dataTables_scrollBody table tr>th,div.dtsp-panesContainer div.dataTables_wrapper div.dataTables_scrollBody table tr>td{padding:5px 10px}div.dtsp-panesContainer div.dataTables_wrapper div.dataTables_scrollBody td.dtsp-nameColumn{width:100% !important}div.dtsp-panesContainer div.dataTables_wrapper div.dataTables_scrollBody div.dtsp-nameCont{width:100%;display:flex;flex-direction:row;justify-content:flex-start;align-content:flex-start;align-items:flex-start}div.dtsp-panesContainer div.dataTables_wrapper div.dataTables_scrollBody div.dtsp-nameCont span.dtsp-name,div.dtsp-panesContainer div.dataTables_wrapper div.dataTables_scrollBody div.dtsp-nameCont span.dtsp-pill{cursor:default}div.dtsp-panesContainer div.dataTables_wrapper div.dataTables_scrollBody div.dtsp-nameCont span.dtsp-name{text-overflow:ellipsis;overflow:hidden;display:inline-block;vertical-align:middle;white-space:nowrap;flex-grow:1;text-align:left}div.dtsp-panesContainer div.dataTables_wrapper div.dataTables_scrollBody div.dtsp-nameCont span.dtsp-pill{display:inline-block;background-color:#cfcfcf;text-align:center;border:1px solid #cfcfcf;border-radius:10px;width:auto;min-width:30px;color:black;font-size:.9em;padding:0 4px}div.dtsp-panesContainer div.dataTables_wrapper div.dataTables_scrollBody div.dtsp-nameCont span.dtsp-pill:empty{display:none}div.dtsp-panesContainer{clear:both;padding-left:0;padding-right:0;text-align:center}div.dtsp-panesContainer div.dtsp-searchPanes{display:flex;flex-direction:row;flex-wrap:wrap;justify-content:space-between;align-content:flex-start;align-items:stretch;clear:both;text-align:left}div.dtsp-panesContainer div.dtsp-searchPanes div.dtsp-searchPane{flex-grow:1;flex-shrink:0;font-size:.9em;margin-top:15px !important}div.dtsp-panesContainer div.dtsp-searchPanes div.dtsp-searchPane div.dataTables_wrapper{flex:1;box-sizing:border-box}div.dtsp-panesContainer div.dtsp-searchPanes div.dtsp-searchPane div.dataTables_wrapper div.dataTables_filter{display:none}div.dtsp-panesContainer div.dtsp-title{float:left;padding:10px 0}div.dtsp-panesContainer button.dtsp-clearAll,div.dtsp-panesContainer button.dtsp-collapseAll,div.dtsp-panesContainer button.dtsp-showAll{float:right;padding:10px}div.dtsp-hidden{display:none !important}div.dtsp-panesContainer div.dtsp-searchPanes div.dtsp-searchPane div.dataTables_wrapper{border:2px solid #f0f0f0;border-radius:4px}div.dtsp-panesContainer div.dtsp-searchPanes div.dtsp-searchPane div.dataTables_wrapper:hover{border:2px solid #cfcfcf}div.dtsp-panesContainer div.dtsp-searchPanes div.dtsp-searchPane div.dtsp-selected{border:2px solid #3276b1;border-radius:4px}div.dtsp-panesContainer div.dtsp-searchPanes div.dtsp-searchPane div.dtsp-selected:hover{border:2px solid #286092}div.dtsp-panesContainer div.dtsp-searchPanes div.dtsp-searchPane div.dtsp-topRow div.dtsp-searchCont input.dtsp-search{border:none;padding-left:3px}div.dtsp-panesContainer div.dtsp-searchPanes div.dtsp-searchPane input.dtsp-paneInputButton,div.dtsp-panesContainer div.dtsp-searchPanes div.dtsp-searchPane button.dtsp-paneButton{height:35px;width:35px;min-width:0;display:inline-block;margin:2px;border:0px solid transparent;background-color:transparent;margin-bottom:0px}div.dtsp-panesContainer div.dtsp-searchPanes div.dtsp-searchPane input.dtsp-paneInputButton:hover,div.dtsp-panesContainer div.dtsp-searchPanes div.dtsp-searchPane button.dtsp-paneButton:hover{background-color:#f0f0f0;border-radius:2px;cursor:pointer}div.dtsp-panesContainer div.dtsp-searchPanes div.dtsp-searchPane button.dtsp-paneButton{opacity:.6}div.dtsp-panesContainer button.dtsp-clearAll,div.dtsp-panesContainer button.dtsp-collapseAll,div.dtsp-panesContainer button.dtsp-showAll{border:1px solid transparent;background-color:transparent}div.dtsp-panesContainer button.dtsp-clearAll:hover,div.dtsp-panesContainer button.dtsp-collapseAll:hover,div.dtsp-panesContainer button.dtsp-showAll:hover{background-color:#f0f0f0;border-radius:2px;cursor:pointer}div.dtsp-panesContainer button.dtsp-disabledButton{cursor:default !important;color:#7c7c7c}div.dtsp-panesContainer button.dtsp-disabledButton:hover{background-color:transparent}div.dtsp-panesContainer button.dtsp-disabledButton:focus{outline:none}div.dtsp-topRow.dtsp-bordered:hover button.dtsp-disabledButton{cursor:pointer !important;pointer-events:none}div.dtsp-topRow.dtsp-bordered:hover input.dtsp-paneInputButton{pointer-events:none}@media screen and (max-width: 767px){div.dtsp-columns-4,div.dtsp-columns-5,div.dtsp-columns-6{max-width:31% !important;min-width:31% !important}}@media screen and (max-width: 640px){div.dtsp-searchPanes{flex-direction:column !important}div.dtsp-searchPane{max-width:98% !important;min-width:98% !important}}input.dtsp-disabledButton{cursor:default !important}input.dtsp-disabledButton:hover{cursor:default !important}div.dtsp-searchPane div.dataTables_scrollBody{text-align:left}div.dtsp-searchPane div.dataTables_wrapper{border:1px solid #c5c5c5 !important}div.dtsp-searchPane div.dataTables_wrapper:hover{border:1px solid #aaa !important}div.dtsp-searchPane div.dtsp-topRow.dtsp-bordered{border:1px solid #aaa;border-radius:3px}div.dt-button-collection div.dtsp-panesContainer{background:transparent;border:none}
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/SearchPanes/css/searchPanes.bulma.min.css
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/SearchPanes/css/searchPanes.bulma.min.css	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/SearchPanes/css/searchPanes.bulma.min.css	(revision 3761)
@@ -0,0 +1 @@
+div.dtsp-topRow{display:flex;flex-direction:row;flex-wrap:nowrap;border:2px solid rgba(0, 0, 0, 0);border-radius:3px;justify-content:space-around;align-content:flex-start;align-items:flex-start;min-height:37px}div.dtsp-topRow input.dtsp-search{text-overflow:ellipsis;min-width:50px;flex-basis:90px;max-width:none}div.dtsp-topRow input.dtsp-search::placeholder{color:black}div.dtsp-topRow div.dtsp-subRow1{display:flex;flex-direction:row;flex-wrap:nowrap;flex:1 1 auto}div.dtsp-topRow div.dtsp-subRow1 div.dtsp-searchCont{position:relative;width:100%}div.dtsp-topRow div.dtsp-subRow1 div.dtsp-searchCont input.dtsp-disabledButton{padding-top:10px;padding-bottom:10px;background-color:transparent}div.dtsp-topRow div.dtsp-subRow1 input{padding-right:2em;width:100% !important;box-sizing:border-box;font-size:1em}div.dtsp-topRow div.dtsp-subRow1 button.dtsp-searchIcon{position:absolute;top:0;right:0;bottom:0;background-image:url("data:image/png;base64,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") !important;background-repeat:no-repeat;background-position:center;background-size:12px}div.dtsp-topRow div.dtsp-subRow2{white-space:nowrap;flex:0 0 auto}div.dtsp-topRow button.dtsp-nameButton{background-image:url("data:image/png;base64,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") !important;background-repeat:no-repeat;background-position:center;background-size:23px;vertical-align:bottom}div.dtsp-topRow button.dtsp-countButton{background-image:url("data:image/png;base64,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") !important;background-repeat:no-repeat;background-position:center;background-size:18px;vertical-align:bottom}div.dtsp-topRow button.dtsp-collapseButton span.dtsp-caret{position:relative;top:2px;display:inline-block}div.dtsp-topRow button.dtsp-collapseButton.dtsp-rotated{transform:rotate(180deg)}div.dtsp-topRow.dtsp-bordered{border:2px solid #f0f0f0;border-radius:3px}div.dtsp-topRow.dtsp-bordered:hover{background-color:#f0f0f0;opacity:.6;border:2px solid #cfcfcf;border-radius:3px;cursor:pointer !important}div.dtsp-panesContainer div.dtsp-searchPanes div.dtsp-searchPane table thead th,div.dtsp-panesContainer div.dtsp-searchPanes div.dtsp-searchPane table thead td{width:100% !important}div.dt-button-collection{z-index:2002}div.dt-button-collection.dtb-collection-closeable div.dtsp-titleRow{padding-right:25px}div.dtsp-columns-1{max-width:100%;min-width:100%;margin:0px !important}div.dtsp-columns-2{max-width:49%;min-width:49%;margin:0px !important}div.dtsp-columns-3{max-width:32%;min-width:32%;margin:0px !important}div.dtsp-columns-4{max-width:24%;min-width:24%;margin:0px !important}div.dtsp-columns-5{max-width:19%;min-width:19%;margin:0px !important}div.dtsp-columns-6{max-width:16%;min-width:16%;margin:0px !important}div.dtsp-columns-7{max-width:14%;min-width:14%;margin:0px !important}div.dtsp-columns-8{max-width:12%;min-width:12%;margin:0px !important}div.dtsp-columns-9{max-width:10.5%;min-width:10.5%;margin:0px !important}div.dtsp-narrow{flex-direction:column !important}div.dtsp-narrow div.dtsp-subRow1,div.dtsp-narrow div.dtsp-subRow2{width:100%}div.dtsp-narrow div.dtsp-subRow2 button{margin:0 !important;width:25% !important}div.dt-button-collection{float:none}div.dtsp-panesContainer{margin-bottom:1em}div.dtsp-panesContainer div.dataTables_wrapper{width:100%}div.dtsp-panesContainer div.dataTables_wrapper div.dataTables_layout_cell{padding:0}div.dtsp-panesContainer div.dataTables_wrapper div.dataTables_scrollHead{display:none !important}div.dtsp-panesContainer div.dataTables_wrapper div.dataTables_scrollBody{background:white !important;border-bottom:none}div.dtsp-panesContainer div.dataTables_wrapper div.dataTables_scrollBody thead{display:none}div.dtsp-panesContainer div.dataTables_wrapper div.dataTables_scrollBody table{table-layout:fixed}div.dtsp-panesContainer div.dataTables_wrapper div.dataTables_scrollBody table tr>th,div.dtsp-panesContainer div.dataTables_wrapper div.dataTables_scrollBody table tr>td{padding:5px 10px}div.dtsp-panesContainer div.dataTables_wrapper div.dataTables_scrollBody td.dtsp-nameColumn{width:100% !important}div.dtsp-panesContainer div.dataTables_wrapper div.dataTables_scrollBody div.dtsp-nameCont{width:100%;display:flex;flex-direction:row;justify-content:flex-start;align-content:flex-start;align-items:flex-start}div.dtsp-panesContainer div.dataTables_wrapper div.dataTables_scrollBody div.dtsp-nameCont span.dtsp-name,div.dtsp-panesContainer div.dataTables_wrapper div.dataTables_scrollBody div.dtsp-nameCont span.dtsp-pill{cursor:default}div.dtsp-panesContainer div.dataTables_wrapper div.dataTables_scrollBody div.dtsp-nameCont span.dtsp-name{text-overflow:ellipsis;overflow:hidden;display:inline-block;vertical-align:middle;white-space:nowrap;flex-grow:1;text-align:left}div.dtsp-panesContainer div.dataTables_wrapper div.dataTables_scrollBody div.dtsp-nameCont span.dtsp-pill{display:inline-block;background-color:#cfcfcf;text-align:center;border:1px solid #cfcfcf;border-radius:10px;width:auto;min-width:30px;color:black;font-size:.9em;padding:0 4px}div.dtsp-panesContainer div.dataTables_wrapper div.dataTables_scrollBody div.dtsp-nameCont span.dtsp-pill:empty{display:none}div.dtsp-panesContainer{clear:both;padding-left:0;padding-right:0;text-align:center}div.dtsp-panesContainer div.dtsp-searchPanes{display:flex;flex-direction:row;flex-wrap:wrap;justify-content:space-between;align-content:flex-start;align-items:stretch;clear:both;text-align:left}div.dtsp-panesContainer div.dtsp-searchPanes div.dtsp-searchPane{flex-grow:1;flex-shrink:0;font-size:.9em;margin-top:15px !important}div.dtsp-panesContainer div.dtsp-searchPanes div.dtsp-searchPane div.dataTables_wrapper{flex:1;box-sizing:border-box}div.dtsp-panesContainer div.dtsp-searchPanes div.dtsp-searchPane div.dataTables_wrapper div.dataTables_filter{display:none}div.dtsp-panesContainer div.dtsp-title{float:left;padding:10px 0}div.dtsp-panesContainer button.dtsp-clearAll,div.dtsp-panesContainer button.dtsp-collapseAll,div.dtsp-panesContainer button.dtsp-showAll{float:right;padding:10px}div.dtsp-hidden{display:none !important}div.dtsp-panesContainer button.dtsp-clearAll,div.dtsp-panesContainer button.dtsp-showAll{margin-left:3px}div.dtsp-panesContainer div.dtsp-searchPanes div.dtsp-searchPane div.dataTables_wrapper{border:1px solid #dbdbdb}div.dtsp-panesContainer div.dtsp-searchPanes div.dtsp-searchPane div.dataTables_wrapper:hover{border:1px solid #bdbdbd}div.dtsp-panesContainer div.dtsp-searchPanes div.dtsp-searchPane input.dtsp-paneInputButton,div.dtsp-panesContainer div.dtsp-searchPanes div.dtsp-searchPane button.dtsp-paneButton{height:35px;width:35px}div.dtsp-panesContainer div.dtsp-searchPanes div.dtsp-searchPane div.dtsp-searchCont{margin-right:3px}div.dtsp-panesContainer div.dtsp-searchPanes div.dtsp-searchPane div.dtsp-searchCont button.dtsp-searchIcon{height:33px;width:33px;margin-top:1px;margin-right:1px}div.dtsp-panesContainer div.dtsp-searchPanes div.dtsp-searchPane div.dtsp-topRow{border-left:none}div.dtsp-panesContainer div.dtsp-searchPanes div.dtsp-searchPane div.dtsp-topRow.dtsp-bordered:hover button.is-disabled{cursor:pointer !important;pointer-events:none}div.dtsp-panesContainer div.dtsp-searchPanes div.dtsp-searchPane div.dtsp-topRow.dtsp-bordered:hover input.dtsp-paneInputButton{pointer-events:none}div.dt-button-collection div.dtsp-panesContainer{padding:10px}
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/SearchPanes/css/searchPanes.bootstrap4.min.css
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/SearchPanes/css/searchPanes.bootstrap4.min.css	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/SearchPanes/css/searchPanes.bootstrap4.min.css	(revision 3761)
@@ -0,0 +1 @@
+div.dtsp-topRow{display:flex;flex-direction:row;flex-wrap:nowrap;border:2px solid rgba(0, 0, 0, 0);border-radius:3px;justify-content:space-around;align-content:flex-start;align-items:flex-start;min-height:37px}div.dtsp-topRow input.dtsp-search{text-overflow:ellipsis;min-width:50px;flex-basis:90px;max-width:none}div.dtsp-topRow input.dtsp-search::placeholder{color:black}div.dtsp-topRow div.dtsp-subRow1{display:flex;flex-direction:row;flex-wrap:nowrap;flex:1 1 auto}div.dtsp-topRow div.dtsp-subRow1 div.dtsp-searchCont{position:relative;width:100%}div.dtsp-topRow div.dtsp-subRow1 div.dtsp-searchCont input.dtsp-disabledButton{padding-top:10px;padding-bottom:10px;background-color:transparent}div.dtsp-topRow div.dtsp-subRow1 input{padding-right:2em;width:100% !important;box-sizing:border-box;font-size:1em}div.dtsp-topRow div.dtsp-subRow1 button.dtsp-searchIcon{position:absolute;top:0;right:0;bottom:0;background-image:url("data:image/png;base64,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") !important;background-repeat:no-repeat;background-position:center;background-size:12px}div.dtsp-topRow div.dtsp-subRow2{white-space:nowrap;flex:0 0 auto}div.dtsp-topRow button.dtsp-nameButton{background-image:url("data:image/png;base64,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") !important;background-repeat:no-repeat;background-position:center;background-size:23px;vertical-align:bottom}div.dtsp-topRow button.dtsp-countButton{background-image:url("data:image/png;base64,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") !important;background-repeat:no-repeat;background-position:center;background-size:18px;vertical-align:bottom}div.dtsp-topRow button.dtsp-collapseButton span.dtsp-caret{position:relative;top:2px;display:inline-block}div.dtsp-topRow button.dtsp-collapseButton.dtsp-rotated{transform:rotate(180deg)}div.dtsp-topRow.dtsp-bordered{border:2px solid #f0f0f0;border-radius:3px}div.dtsp-topRow.dtsp-bordered:hover{background-color:#f0f0f0;opacity:.6;border:2px solid #cfcfcf;border-radius:3px;cursor:pointer !important}div.dtsp-panesContainer div.dtsp-searchPanes div.dtsp-searchPane table thead th,div.dtsp-panesContainer div.dtsp-searchPanes div.dtsp-searchPane table thead td{width:100% !important}div.dt-button-collection{z-index:2002}div.dt-button-collection.dtb-collection-closeable div.dtsp-titleRow{padding-right:25px}div.dtsp-columns-1{max-width:100%;min-width:100%;margin:0px !important}div.dtsp-columns-2{max-width:49%;min-width:49%;margin:0px !important}div.dtsp-columns-3{max-width:32%;min-width:32%;margin:0px !important}div.dtsp-columns-4{max-width:24%;min-width:24%;margin:0px !important}div.dtsp-columns-5{max-width:19%;min-width:19%;margin:0px !important}div.dtsp-columns-6{max-width:16%;min-width:16%;margin:0px !important}div.dtsp-columns-7{max-width:14%;min-width:14%;margin:0px !important}div.dtsp-columns-8{max-width:12%;min-width:12%;margin:0px !important}div.dtsp-columns-9{max-width:10.5%;min-width:10.5%;margin:0px !important}div.dtsp-narrow{flex-direction:column !important}div.dtsp-narrow div.dtsp-subRow1,div.dtsp-narrow div.dtsp-subRow2{width:100%}div.dtsp-narrow div.dtsp-subRow2 button{margin:0 !important;width:25% !important}div.dt-button-collection{float:none}div.dtsp-panesContainer{margin-bottom:1em}div.dtsp-panesContainer div.dataTables_wrapper{width:100%}div.dtsp-panesContainer div.dataTables_wrapper div.dataTables_layout_cell{padding:0}div.dtsp-panesContainer div.dataTables_wrapper div.dataTables_scrollHead{display:none !important}div.dtsp-panesContainer div.dataTables_wrapper div.dataTables_scrollBody{background:white !important;border-bottom:none}div.dtsp-panesContainer div.dataTables_wrapper div.dataTables_scrollBody thead{display:none}div.dtsp-panesContainer div.dataTables_wrapper div.dataTables_scrollBody table{table-layout:fixed}div.dtsp-panesContainer div.dataTables_wrapper div.dataTables_scrollBody table tr>th,div.dtsp-panesContainer div.dataTables_wrapper div.dataTables_scrollBody table tr>td{padding:5px 10px}div.dtsp-panesContainer div.dataTables_wrapper div.dataTables_scrollBody td.dtsp-nameColumn{width:100% !important}div.dtsp-panesContainer div.dataTables_wrapper div.dataTables_scrollBody div.dtsp-nameCont{width:100%;display:flex;flex-direction:row;justify-content:flex-start;align-content:flex-start;align-items:flex-start}div.dtsp-panesContainer div.dataTables_wrapper div.dataTables_scrollBody div.dtsp-nameCont span.dtsp-name,div.dtsp-panesContainer div.dataTables_wrapper div.dataTables_scrollBody div.dtsp-nameCont span.dtsp-pill{cursor:default}div.dtsp-panesContainer div.dataTables_wrapper div.dataTables_scrollBody div.dtsp-nameCont span.dtsp-name{text-overflow:ellipsis;overflow:hidden;display:inline-block;vertical-align:middle;white-space:nowrap;flex-grow:1;text-align:left}div.dtsp-panesContainer div.dataTables_wrapper div.dataTables_scrollBody div.dtsp-nameCont span.dtsp-pill{display:inline-block;background-color:#cfcfcf;text-align:center;border:1px solid #cfcfcf;border-radius:10px;width:auto;min-width:30px;color:black;font-size:.9em;padding:0 4px}div.dtsp-panesContainer div.dataTables_wrapper div.dataTables_scrollBody div.dtsp-nameCont span.dtsp-pill:empty{display:none}div.dtsp-panesContainer{clear:both;padding-left:0;padding-right:0;text-align:center}div.dtsp-panesContainer div.dtsp-searchPanes{display:flex;flex-direction:row;flex-wrap:wrap;justify-content:space-between;align-content:flex-start;align-items:stretch;clear:both;text-align:left}div.dtsp-panesContainer div.dtsp-searchPanes div.dtsp-searchPane{flex-grow:1;flex-shrink:0;font-size:.9em;margin-top:15px !important}div.dtsp-panesContainer div.dtsp-searchPanes div.dtsp-searchPane div.dataTables_wrapper{flex:1;box-sizing:border-box}div.dtsp-panesContainer div.dtsp-searchPanes div.dtsp-searchPane div.dataTables_wrapper div.dataTables_filter{display:none}div.dtsp-panesContainer div.dtsp-title{float:left;padding:10px 0}div.dtsp-panesContainer button.dtsp-clearAll,div.dtsp-panesContainer button.dtsp-collapseAll,div.dtsp-panesContainer button.dtsp-showAll{float:right;padding:10px}div.dtsp-hidden{display:none !important}div.dtsp-panesContainer button.dtsp-clearAll,div.dtsp-panesContainer button.dtsp-showAll{margin-left:3px}div.dtsp-panesContainer div.dtsp-searchPane div.dtsp-topRow{margin:.5em 0}div.dtsp-panesContainer div.dtsp-searchPane div.dtsp-topRow input.form-control{border-radius:4px}div.dtsp-panesContainer div.dtsp-searchPane div.dtsp-topRow div.dtsp-subRow2{margin-left:.5em}div.dtsp-panesContainer div.dtsp-searchPane div.dtsp-topRow button{border:1px solid #ced4da;width:35px;line-height:20px}div.dtsp-panesContainer div.dtsp-searchPane div.dtsp-topRow div.dtsp-subRow1 button{border-right:none}div.dtsp-panesContainer div.dtsp-searchPane div.dtsp-topRow span.dtsp-caret{top:4px}div.dtsp-panesContainer div.dtsp-searchPane div.dtsp-topRow button.dtsp-rotated{transform:none}div.dtsp-panesContainer div.dtsp-searchPane div.dtsp-topRow button.dtsp-rotated span{transform:rotate(180deg);top:-4px}div.dtsp-panesContainer div.dtsp-searchPane div.dtsp-topRow.dtsp-bordered:hover button.disabled{cursor:pointer !important;pointer-events:none}div.dtsp-panesContainer div.dtsp-searchPane div.dtsp-topRow.dtsp-bordered:hover input.dtsp-paneInputButton{pointer-events:none}div.dtsp-panesContainer div.dtsp-searchPane div.dataTables_wrapper{border:2px #f0f0f0 solid;border-radius:4px}div.dtsp-panesContainer div.dtsp-searchPane div.dataTables_wrapper:hover{border:2px solid #cfcfcf !important}div.dtsp-panesContainer div.dtsp-searchPane div.dataTables_wrapper div.dtsp-nameCont span.badge{min-width:30px;line-height:1.25em;margin-top:3.5px}div.dtsp-panesContainer button.disabled{cursor:not-allowed}div.dt-button-collection div.dtsp-panesContainer{padding-left:10px;padding-right:10px}
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/SearchPanes/css/searchPanes.semanticui.min.css
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/SearchPanes/css/searchPanes.semanticui.min.css	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/SearchPanes/css/searchPanes.semanticui.min.css	(revision 3761)
@@ -0,0 +1 @@
+div.dtsp-topRow{display:flex;flex-direction:row;flex-wrap:nowrap;border:2px solid rgba(0, 0, 0, 0);border-radius:3px;justify-content:space-around;align-content:flex-start;align-items:flex-start;min-height:37px}div.dtsp-topRow input.dtsp-search{text-overflow:ellipsis;min-width:50px;flex-basis:90px;max-width:none}div.dtsp-topRow input.dtsp-search::placeholder{color:black}div.dtsp-topRow div.dtsp-subRow1{display:flex;flex-direction:row;flex-wrap:nowrap;flex:1 1 auto}div.dtsp-topRow div.dtsp-subRow1 div.dtsp-searchCont{position:relative;width:100%}div.dtsp-topRow div.dtsp-subRow1 div.dtsp-searchCont input.dtsp-disabledButton{padding-top:10px;padding-bottom:10px;background-color:transparent}div.dtsp-topRow div.dtsp-subRow1 input{padding-right:2em;width:100% !important;box-sizing:border-box;font-size:1em}div.dtsp-topRow div.dtsp-subRow1 button.dtsp-searchIcon{position:absolute;top:0;right:0;bottom:0;background-image:url("data:image/png;base64,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") !important;background-repeat:no-repeat;background-position:center;background-size:12px}div.dtsp-topRow div.dtsp-subRow2{white-space:nowrap;flex:0 0 auto}div.dtsp-topRow button.dtsp-nameButton{background-image:url("data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAACMAAAAjCAYAAAAe2bNZAAABcGlDQ1BpY2MAACiRdZHNSwJBGMYftTDS8FCHkA57sOigIAXRMQzyYh3UIKvL7rirwe66zK6IdA26dBA6RF36OvQf1DXoWhAERRAR9B/0dQnZ3nEFJXSG2ffHs/O8zDwD+DM6M+yBJGCYDs+mU9JaYV0KviNMM4QoEjKzreXcUh59x88jfKI+JESv/vt6jlBRtRngGyKeYxZ3iBeIMzXHErxHPMbKcpH4hDjO6YDEt0JXPH4TXPL4SzDPZxcBv+gplbpY6WJW5gbxNHHM0KusfR5xk7BqruaoRmlNwEYWaaQgQUEVW9DhIEHVpMx6+5It3woq5GH0tVAHJ0cJZfLGSa1SV5WqRrpKU0dd5P4/T1ubnfG6h1PA4Kvrfk4CwX2g2XDd31PXbZ4BgRfg2uz4K5TT/DfpjY4WOwYiO8DlTUdTDoCrXWD82ZK53JICtPyaBnxcACMFYPQeGN7wsmr/x/kTkN+mJ7oDDo+AKdof2fwDCBRoDkL8UccAAAAJcEhZcwAAD2EAAA9hAag/p2kAAAK2SURBVFgJ7ZY9j41BFICvryCExrJBQ6HyEYVEIREaUZDQIRoR2ViJKCioxV+gkVXYTVZEQiEUhG2EQnxUCh0FKolY4ut5XnM2cyfva3Pt5m7EPcmzZ2bemTNnzjkzd1utnvQi0IvAfxiBy5z5FoxO89kPY+8mbMjtzs47RXs5/WVpbAG6bWExt5PuIibvhVkwmC+ck3eK9ln6/fAddFojYzBVuYSBpcnIEvRaqOw2RcaN18FPuJH0JvRUxbT3wWf4ltiKPgfVidWlbGZgPozDFfgAC+EA/K2EI4cwcAJ+gPaeQ+VQU2SOMMGcPgPl/m/V2p50rrbRsRgt9Iv5h6xtpP22Bz7Ce1C+gFFxfKzOmShcU+Qmyh2w3w8rIJfddHTck66EukL/xPhj+JM8rHNmFys0Pg4v0up3aFNlwR9NYyodd3OL/C64zpsymcTFcf6ElM4YzjAWKYrJkaq8kE/yUYNP4BoYvS1QRo+hNtF5xfkTUjoTheukSFFMjlTFm6PjceOca/SMpKfeCR1L6Uzk/y2WIkVhNFJlJAZhP+hYns7b9D3IPuhY5mYrIv8OrQJvR5NYyNaW4jsU8pSGNySiVx4o5tXq3JkoXE/mg5R/M8dGJCJpKhaDcjBRdbI/Rm8g69c122om33BHmj2CHoV5qa9jUXBraJ+G1fAVjIBO1klc87ro1K4JZ/K35SWW3TwcyDd6TecqnAEd8cGq2+w84xvBm1n3vS0izKkkwh5XNC/GmFPqqAtPF89AOScKuemaNzoTV1SD5dtSbmLf1/RV+tC0WTgcj6R7HEtrVGWaqu/lYDZ/2pvxQ/kIyw/gFByHC9AHw910hv1aUUumyd8yy0QfhmEkfiNod0Xusct68J1qc8Tdux0Z97Q+hsDb+AYGYEbF/4Guw2Q/qDPqZG/zXgT+3Qj8AtKnfWhFwmuAAAAAAElFTkSuQmCC") !important;background-repeat:no-repeat;background-position:center;background-size:23px;vertical-align:bottom}div.dtsp-topRow button.dtsp-countButton{background-image:url("data:image/png;base64,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") !important;background-repeat:no-repeat;background-position:center;background-size:18px;vertical-align:bottom}div.dtsp-topRow button.dtsp-collapseButton span.dtsp-caret{position:relative;top:2px;display:inline-block}div.dtsp-topRow button.dtsp-collapseButton.dtsp-rotated{transform:rotate(180deg)}div.dtsp-topRow.dtsp-bordered{border:2px solid #f0f0f0;border-radius:3px}div.dtsp-topRow.dtsp-bordered:hover{background-color:#f0f0f0;opacity:.6;border:2px solid #cfcfcf;border-radius:3px;cursor:pointer !important}div.dtsp-panesContainer div.dtsp-searchPanes div.dtsp-searchPane table thead th,div.dtsp-panesContainer div.dtsp-searchPanes div.dtsp-searchPane table thead td{width:100% !important}div.dt-button-collection{z-index:2002}div.dt-button-collection.dtb-collection-closeable div.dtsp-titleRow{padding-right:25px}div.dtsp-columns-1{max-width:100%;min-width:100%;margin:0px !important}div.dtsp-columns-2{max-width:49%;min-width:49%;margin:0px !important}div.dtsp-columns-3{max-width:32%;min-width:32%;margin:0px !important}div.dtsp-columns-4{max-width:24%;min-width:24%;margin:0px !important}div.dtsp-columns-5{max-width:19%;min-width:19%;margin:0px !important}div.dtsp-columns-6{max-width:16%;min-width:16%;margin:0px !important}div.dtsp-columns-7{max-width:14%;min-width:14%;margin:0px !important}div.dtsp-columns-8{max-width:12%;min-width:12%;margin:0px !important}div.dtsp-columns-9{max-width:10.5%;min-width:10.5%;margin:0px !important}div.dtsp-narrow{flex-direction:column !important}div.dtsp-narrow div.dtsp-subRow1,div.dtsp-narrow div.dtsp-subRow2{width:100%}div.dtsp-narrow div.dtsp-subRow2 button{margin:0 !important;width:25% !important}div.dt-button-collection{float:none}div.dtsp-panesContainer{margin-bottom:1em}div.dtsp-panesContainer div.dataTables_wrapper{width:100%}div.dtsp-panesContainer div.dataTables_wrapper div.dataTables_layout_cell{padding:0}div.dtsp-panesContainer div.dataTables_wrapper div.dataTables_scrollHead{display:none !important}div.dtsp-panesContainer div.dataTables_wrapper div.dataTables_scrollBody{background:white !important;border-bottom:none}div.dtsp-panesContainer div.dataTables_wrapper div.dataTables_scrollBody thead{display:none}div.dtsp-panesContainer div.dataTables_wrapper div.dataTables_scrollBody table{table-layout:fixed}div.dtsp-panesContainer div.dataTables_wrapper div.dataTables_scrollBody table tr>th,div.dtsp-panesContainer div.dataTables_wrapper div.dataTables_scrollBody table tr>td{padding:5px 10px}div.dtsp-panesContainer div.dataTables_wrapper div.dataTables_scrollBody td.dtsp-nameColumn{width:100% !important}div.dtsp-panesContainer div.dataTables_wrapper div.dataTables_scrollBody div.dtsp-nameCont{width:100%;display:flex;flex-direction:row;justify-content:flex-start;align-content:flex-start;align-items:flex-start}div.dtsp-panesContainer div.dataTables_wrapper div.dataTables_scrollBody div.dtsp-nameCont span.dtsp-name,div.dtsp-panesContainer div.dataTables_wrapper div.dataTables_scrollBody div.dtsp-nameCont span.dtsp-pill{cursor:default}div.dtsp-panesContainer div.dataTables_wrapper div.dataTables_scrollBody div.dtsp-nameCont span.dtsp-name{text-overflow:ellipsis;overflow:hidden;display:inline-block;vertical-align:middle;white-space:nowrap;flex-grow:1;text-align:left}div.dtsp-panesContainer div.dataTables_wrapper div.dataTables_scrollBody div.dtsp-nameCont span.dtsp-pill{display:inline-block;background-color:#cfcfcf;text-align:center;border:1px solid #cfcfcf;border-radius:10px;width:auto;min-width:30px;color:black;font-size:.9em;padding:0 4px}div.dtsp-panesContainer div.dataTables_wrapper div.dataTables_scrollBody div.dtsp-nameCont span.dtsp-pill:empty{display:none}div.dtsp-panesContainer{clear:both;padding-left:0;padding-right:0;text-align:center}div.dtsp-panesContainer div.dtsp-searchPanes{display:flex;flex-direction:row;flex-wrap:wrap;justify-content:space-between;align-content:flex-start;align-items:stretch;clear:both;text-align:left}div.dtsp-panesContainer div.dtsp-searchPanes div.dtsp-searchPane{flex-grow:1;flex-shrink:0;font-size:.9em;margin-top:15px !important}div.dtsp-panesContainer div.dtsp-searchPanes div.dtsp-searchPane div.dataTables_wrapper{flex:1;box-sizing:border-box}div.dtsp-panesContainer div.dtsp-searchPanes div.dtsp-searchPane div.dataTables_wrapper div.dataTables_filter{display:none}div.dtsp-panesContainer div.dtsp-title{float:left;padding:10px 0}div.dtsp-panesContainer button.dtsp-clearAll,div.dtsp-panesContainer button.dtsp-collapseAll,div.dtsp-panesContainer button.dtsp-showAll{float:right;padding:10px}div.dtsp-hidden{display:none !important}div.dtsp-searchPane div.dtsp-topRow{margin:.5em 0}div.dtsp-searchPane div.dtsp-topRow div.dtsp-subRow2{margin-left:.5em}div.dtsp-searchPane div.dtsp-topRow div.dtsp-subRow2 button{border-radius:0px}div.dtsp-searchPane div.dtsp-topRow div.dtsp-subRow2 button:last-child{border-top-right-radius:4px !important;border-bottom-right-radius:4px !important}div.dtsp-searchPane div.dtsp-topRow div.dtsp-subRow2 button:first-child{border-top-left-radius:4px !important;border-bottom-left-radius:4px !important}div.dtsp-searchPane div.dtsp-topRow div.dtsp-subRow2 button:last-child:first-child{border-top-left-radius:4px !important;border-bottom-left-radius:4px !important;border-top-right-radius:4px !important;border-bottom-right-radius:4px !important}div.dtsp-searchPane div.dtsp-topRow input{min-height:37px;border:1px solid rgba(34, 36, 38, 0.15);border-radius:4px;padding-left:12px}div.dtsp-searchPane div.dtsp-topRow button{border:1px solid rgba(34, 36, 38, 0.15);border-left:none}div.dtsp-searchPane div.dtsp-topRow button:first-child{border-left:1px solid rgba(34, 36, 38, 0.15)}div.dtsp-searchPane div.dtsp-topRow i.search{position:absolute;top:7px;right:3px;bottom:0;box-shadow:none}div.dtsp-searchPane div.dtsp-topRow span.dtsp-caret{top:4px;right:0}div.dtsp-searchPane div.dtsp-topRow button.dtsp-collapseButton{max-width:44px}div.dtsp-searchPane div.dtsp-topRow button.dtsp-rotated{transform:none}div.dtsp-searchPane div.dtsp-topRow button.dtsp-rotated span{transform:rotate(180deg);top:-1px}div.dtsp-searchPane div.dtsp-topRow button.clearButton,div.dtsp-searchPane div.dtsp-topRow button.dtsp-searchIcon,div.dtsp-searchPane div.dtsp-topRow button.dtsp-nameButton,div.dtsp-searchPane div.dtsp-topRow button.dtsp-countButton,div.dtsp-searchPane div.dtsp-topRow button.dtsp-collapseButton{background-color:transparent;width:44px;height:38px;font-size:14px;cursor:pointer}div.dtsp-searchPane div.dtsp-topRow button.disabled{cursor:default}div.dtsp-searchPane div.dtsp-topRow.dtsp-bordered:hover button.disabled{cursor:pointer !important;pointer-events:none}div.dtsp-searchPane div.dtsp-topRow.dtsp-bordered:hover input.dtsp-search{cursor:pointer !important;pointer-events:none}div.dtsp-searchPane div.dataTables_wrapper{margin-left:0 !important;margin-right:0 !important;border:2px #f0f0f0 solid;border-radius:4px;text-align:left}div.dtsp-searchPane div.dataTables_wrapper div.column{padding-left:0 !important;padding-right:0 !important}div.dtsp-searchPane div.dataTables_wrapper:hover{border:2px solid #cfcfcf !important}div.dtsp-searchPane div.dataTables_wrapper div.dtsp-nameCont span.badge{min-width:30px;line-height:1.25em;margin-top:3.5px}div.dtsp-searchPane div.ui.grid{margin-top:0;margin-bottom:0}div.dtsp-searchPane div.ui.grid div.row{padding:0 !important}div.dt-button-collection{border:1px solid #f0f0f0;border-radius:3px}div.dt-button-collection div.dtsp-panesContainer{font-size:14px;padding:5px}div.dt-button-collection div.dtsp-panesContainer span.dtsp-caret{right:0px}div.dt-button-collection div.dtsp-panesContainer div.dtsp-titleRow button{border-left-width:0px !important;border-right-width:0px !important;border-radius:4px !important}
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/SearchPanes/css/searchPanes.bootstrap5.min.css
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/SearchPanes/css/searchPanes.bootstrap5.min.css	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/SearchPanes/css/searchPanes.bootstrap5.min.css	(revision 3761)
@@ -0,0 +1 @@
+div.dtsp-topRow{display:flex;flex-direction:row;flex-wrap:nowrap;border:2px solid rgba(0, 0, 0, 0);border-radius:3px;justify-content:space-around;align-content:flex-start;align-items:flex-start;min-height:37px}div.dtsp-topRow input.dtsp-search{text-overflow:ellipsis;min-width:50px;flex-basis:90px;max-width:none}div.dtsp-topRow input.dtsp-search::placeholder{color:black}div.dtsp-topRow div.dtsp-subRow1{display:flex;flex-direction:row;flex-wrap:nowrap;flex:1 1 auto}div.dtsp-topRow div.dtsp-subRow1 div.dtsp-searchCont{position:relative;width:100%}div.dtsp-topRow div.dtsp-subRow1 div.dtsp-searchCont input.dtsp-disabledButton{padding-top:10px;padding-bottom:10px;background-color:transparent}div.dtsp-topRow div.dtsp-subRow1 input{padding-right:2em;width:100% !important;box-sizing:border-box;font-size:1em}div.dtsp-topRow div.dtsp-subRow1 button.dtsp-searchIcon{position:absolute;top:0;right:0;bottom:0;background-image:url("data:image/png;base64,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") !important;background-repeat:no-repeat;background-position:center;background-size:12px}div.dtsp-topRow div.dtsp-subRow2{white-space:nowrap;flex:0 0 auto}div.dtsp-topRow button.dtsp-nameButton{background-image:url("data:image/png;base64,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") !important;background-repeat:no-repeat;background-position:center;background-size:23px;vertical-align:bottom}div.dtsp-topRow button.dtsp-countButton{background-image:url("data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAABgAAAAYCAYAAADgdz34AAABcGlDQ1BpY2MAACiRdZHNSwJBGMYftTDS8FCHkA57sOigIAXRMQzyYh3UIKvL7rirwe66zK6IdA26dBA6RF36OvQf1DXoWhAERRAR9B/0dQnZ3nEFJXSG2ffHs/O8zDwD+DM6M+yBJGCYDs+mU9JaYV0KviNMM4QoEjKzreXcUh59x88jfKI+JESv/vt6jlBRtRngGyKeYxZ3iBeIMzXHErxHPMbKcpH4hDjO6YDEt0JXPH4TXPL4SzDPZxcBv+gplbpY6WJW5gbxNHHM0KusfR5xk7BqruaoRmlNwEYWaaQgQUEVW9DhIEHVpMx6+5It3woq5GH0tVAHJ0cJZfLGSa1SV5WqRrpKU0dd5P4/T1ubnfG6h1PA4Kvrfk4CwX2g2XDd31PXbZ4BgRfg2uz4K5TT/DfpjY4WOwYiO8DlTUdTDoCrXWD82ZK53JICtPyaBnxcACMFYPQeGN7wsmr/x/kTkN+mJ7oDDo+AKdof2fwDCBRoDkL8UccAAAAJcEhZcwAAD2EAAA9hAag/p2kAAAG5SURBVEgN3VU9LwVBFF0fiYhofUSlEQkKhU7z/oBCQkIiGr9BgUbhVzy9BAnhFyjV/AYFiU5ICM7ZN+c5Zud5dm3lJmfmzrkz9+7cu3c3y/6jjOBSF8CxXS7FmTkbwqIJjDpJvTcmsJ4K3KPZUpyZsx0sxoB9J6mnAkyC7wGuuCFIipNtEcpcWExgXpOBc78vgj6N+QO4NVsjwdFM59tUIDxDrHMBOeIQ34C5ZDregXuAQm4YcI68nN9B3wr2PcwPAIPkN2EqtJH6b+QZm1ajjTx7BqwAr26Lb+C2Kvpbt0Mb2HAJ7NrGFGfmXO3DeA4UshDfQAVmH0gaUFg852TTTDvlxwBlCtxy9zXyBhQFaq0wMmIdRebrfgosA3zb2hKnqG0oqchp4QbuR8X0TjzABhbdOT8jnQ/atcgqpnfwOA7yqZyTU587ZkIGdesLTt2EkynOnbreMUUKMI/dA4B/QVOcO13CQh+5wWCgDwo/75u59odB/wjmfhbgvACcAOyZPHihMWAoIwxyCLgf1oxfgjzVbgBXSTzIN+f0pg6s5DkcesLMRpsBrgE2XO3CN64JFP7JtUeKHX4CKtRRXFZ+7dEAAAAASUVORK5CYII=") !important;background-repeat:no-repeat;background-position:center;background-size:18px;vertical-align:bottom}div.dtsp-topRow button.dtsp-collapseButton span.dtsp-caret{position:relative;top:2px;display:inline-block}div.dtsp-topRow button.dtsp-collapseButton.dtsp-rotated{transform:rotate(180deg)}div.dtsp-topRow.dtsp-bordered{border:2px solid #f0f0f0;border-radius:3px}div.dtsp-topRow.dtsp-bordered:hover{background-color:#f0f0f0;opacity:.6;border:2px solid #cfcfcf;border-radius:3px;cursor:pointer !important}div.dtsp-panesContainer div.dtsp-searchPanes div.dtsp-searchPane table thead th,div.dtsp-panesContainer div.dtsp-searchPanes div.dtsp-searchPane table thead td{width:100% !important}div.dt-button-collection{z-index:2002}div.dt-button-collection.dtb-collection-closeable div.dtsp-titleRow{padding-right:25px}div.dtsp-columns-1{max-width:100%;min-width:100%;margin:0px !important}div.dtsp-columns-2{max-width:49%;min-width:49%;margin:0px !important}div.dtsp-columns-3{max-width:32%;min-width:32%;margin:0px !important}div.dtsp-columns-4{max-width:24%;min-width:24%;margin:0px !important}div.dtsp-columns-5{max-width:19%;min-width:19%;margin:0px !important}div.dtsp-columns-6{max-width:16%;min-width:16%;margin:0px !important}div.dtsp-columns-7{max-width:14%;min-width:14%;margin:0px !important}div.dtsp-columns-8{max-width:12%;min-width:12%;margin:0px !important}div.dtsp-columns-9{max-width:10.5%;min-width:10.5%;margin:0px !important}div.dtsp-narrow{flex-direction:column !important}div.dtsp-narrow div.dtsp-subRow1,div.dtsp-narrow div.dtsp-subRow2{width:100%}div.dtsp-narrow div.dtsp-subRow2 button{margin:0 !important;width:25% !important}div.dt-button-collection{float:none}div.dtsp-panesContainer{margin-bottom:1em}div.dtsp-panesContainer div.dataTables_wrapper{width:100%}div.dtsp-panesContainer div.dataTables_wrapper div.dataTables_layout_cell{padding:0}div.dtsp-panesContainer div.dataTables_wrapper div.dataTables_scrollHead{display:none !important}div.dtsp-panesContainer div.dataTables_wrapper div.dataTables_scrollBody{background:white !important;border-bottom:none}div.dtsp-panesContainer div.dataTables_wrapper div.dataTables_scrollBody thead{display:none}div.dtsp-panesContainer div.dataTables_wrapper div.dataTables_scrollBody table{table-layout:fixed}div.dtsp-panesContainer div.dataTables_wrapper div.dataTables_scrollBody table tr>th,div.dtsp-panesContainer div.dataTables_wrapper div.dataTables_scrollBody table tr>td{padding:5px 10px}div.dtsp-panesContainer div.dataTables_wrapper div.dataTables_scrollBody td.dtsp-nameColumn{width:100% !important}div.dtsp-panesContainer div.dataTables_wrapper div.dataTables_scrollBody div.dtsp-nameCont{width:100%;display:flex;flex-direction:row;justify-content:flex-start;align-content:flex-start;align-items:flex-start}div.dtsp-panesContainer div.dataTables_wrapper div.dataTables_scrollBody div.dtsp-nameCont span.dtsp-name,div.dtsp-panesContainer div.dataTables_wrapper div.dataTables_scrollBody div.dtsp-nameCont span.dtsp-pill{cursor:default}div.dtsp-panesContainer div.dataTables_wrapper div.dataTables_scrollBody div.dtsp-nameCont span.dtsp-name{text-overflow:ellipsis;overflow:hidden;display:inline-block;vertical-align:middle;white-space:nowrap;flex-grow:1;text-align:left}div.dtsp-panesContainer div.dataTables_wrapper div.dataTables_scrollBody div.dtsp-nameCont span.dtsp-pill{display:inline-block;background-color:#cfcfcf;text-align:center;border:1px solid #cfcfcf;border-radius:10px;width:auto;min-width:30px;color:black;font-size:.9em;padding:0 4px}div.dtsp-panesContainer div.dataTables_wrapper div.dataTables_scrollBody div.dtsp-nameCont span.dtsp-pill:empty{display:none}div.dtsp-panesContainer{clear:both;padding-left:0;padding-right:0;text-align:center}div.dtsp-panesContainer div.dtsp-searchPanes{display:flex;flex-direction:row;flex-wrap:wrap;justify-content:space-between;align-content:flex-start;align-items:stretch;clear:both;text-align:left}div.dtsp-panesContainer div.dtsp-searchPanes div.dtsp-searchPane{flex-grow:1;flex-shrink:0;font-size:.9em;margin-top:15px !important}div.dtsp-panesContainer div.dtsp-searchPanes div.dtsp-searchPane div.dataTables_wrapper{flex:1;box-sizing:border-box}div.dtsp-panesContainer div.dtsp-searchPanes div.dtsp-searchPane div.dataTables_wrapper div.dataTables_filter{display:none}div.dtsp-panesContainer div.dtsp-title{float:left;padding:10px 0}div.dtsp-panesContainer button.dtsp-clearAll,div.dtsp-panesContainer button.dtsp-collapseAll,div.dtsp-panesContainer button.dtsp-showAll{float:right;padding:10px}div.dtsp-hidden{display:none !important}div.dtsp-panesContainer button.dtsp-clearAll,div.dtsp-panesContainer button.dtsp-showAll{margin-left:3px}div.dtsp-panesContainer div.dtsp-searchPane div.dtsp-topRow{margin:.5em 0}div.dtsp-panesContainer div.dtsp-searchPane div.dtsp-topRow div.dtsp-subRow2{margin-left:.5em}div.dtsp-panesContainer div.dtsp-searchPane div.dtsp-topRow button{border:1px solid #ced4da;width:35px;line-height:20px}div.dtsp-panesContainer div.dtsp-searchPane div.dtsp-topRow div.dtsp-subRow1 button{border-right:none;margin-right:1px}div.dtsp-panesContainer div.dtsp-searchPane div.dtsp-topRow div.dtsp-subRow1 button:hover{background-color:#6c757d;color:white}div.dtsp-panesContainer div.dtsp-searchPane div.dtsp-topRow div.dtsp-subRow1 input{padding-right:3em}div.dtsp-panesContainer div.dtsp-searchPane div.dtsp-topRow span.dtsp-caret{top:4px}div.dtsp-panesContainer div.dtsp-searchPane div.dtsp-topRow button.dtsp-rotated{transform:none}div.dtsp-panesContainer div.dtsp-searchPane div.dtsp-topRow button.dtsp-rotated span{transform:rotate(180deg);top:-4px}div.dtsp-panesContainer div.dtsp-searchPane div.dtsp-topRow.dtsp-bordered:hover button.disabled{cursor:pointer !important;pointer-events:none}div.dtsp-panesContainer div.dtsp-searchPane div.dtsp-topRow.dtsp-bordered:hover input.dtsp-paneInputButton{pointer-events:none}div.dtsp-panesContainer div.dtsp-searchPane div.dataTables_wrapper{border:2px #f0f0f0 solid;border-radius:4px}div.dtsp-panesContainer div.dtsp-searchPane div.dataTables_wrapper:hover{border:2px solid #cfcfcf !important}div.dtsp-panesContainer div.dtsp-searchPane div.dataTables_wrapper div.dtsp-nameCont span.badge{min-width:30px;line-height:1.25em;margin-top:3.5px}div.dtsp-panesContainer button.disabled{cursor:not-allowed}div.dt-button-collection div.dtsp-panesContainer{padding-left:10px !important;padding-right:10px !important}
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/SearchPanes/css/searchPanes.dataTables.min.css
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/SearchPanes/css/searchPanes.dataTables.min.css	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/SearchPanes/css/searchPanes.dataTables.min.css	(revision 3761)
@@ -0,0 +1 @@
+div.dtsp-topRow{display:flex;flex-direction:row;flex-wrap:nowrap;border:2px solid rgba(0, 0, 0, 0);border-radius:3px;justify-content:space-around;align-content:flex-start;align-items:flex-start;min-height:37px}div.dtsp-topRow input.dtsp-search{text-overflow:ellipsis;min-width:50px;flex-basis:90px;max-width:none}div.dtsp-topRow input.dtsp-search::placeholder{color:black}div.dtsp-topRow div.dtsp-subRow1{display:flex;flex-direction:row;flex-wrap:nowrap;flex:1 1 auto}div.dtsp-topRow div.dtsp-subRow1 div.dtsp-searchCont{position:relative;width:100%}div.dtsp-topRow div.dtsp-subRow1 div.dtsp-searchCont input.dtsp-disabledButton{padding-top:10px;padding-bottom:10px;background-color:transparent}div.dtsp-topRow div.dtsp-subRow1 input{padding-right:2em;width:100% !important;box-sizing:border-box;font-size:1em}div.dtsp-topRow div.dtsp-subRow1 button.dtsp-searchIcon{position:absolute;top:0;right:0;bottom:0;background-image:url("data:image/png;base64,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") !important;background-repeat:no-repeat;background-position:center;background-size:12px}div.dtsp-topRow div.dtsp-subRow2{white-space:nowrap;flex:0 0 auto}div.dtsp-topRow button.dtsp-nameButton{background-image:url("data:image/png;base64,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") !important;background-repeat:no-repeat;background-position:center;background-size:23px;vertical-align:bottom}div.dtsp-topRow button.dtsp-countButton{background-image:url("data:image/png;base64,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") !important;background-repeat:no-repeat;background-position:center;background-size:18px;vertical-align:bottom}div.dtsp-topRow button.dtsp-collapseButton span.dtsp-caret{position:relative;top:2px;display:inline-block}div.dtsp-topRow button.dtsp-collapseButton.dtsp-rotated{transform:rotate(180deg)}div.dtsp-topRow.dtsp-bordered{border:2px solid #f0f0f0;border-radius:3px}div.dtsp-topRow.dtsp-bordered:hover{background-color:#f0f0f0;opacity:.6;border:2px solid #cfcfcf;border-radius:3px;cursor:pointer !important}div.dtsp-panesContainer div.dtsp-searchPanes div.dtsp-searchPane table thead th,div.dtsp-panesContainer div.dtsp-searchPanes div.dtsp-searchPane table thead td{width:100% !important}div.dt-button-collection{z-index:2002}div.dt-button-collection.dtb-collection-closeable div.dtsp-titleRow{padding-right:25px}div.dtsp-columns-1{max-width:100%;min-width:100%;margin:0px !important}div.dtsp-columns-2{max-width:49%;min-width:49%;margin:0px !important}div.dtsp-columns-3{max-width:32%;min-width:32%;margin:0px !important}div.dtsp-columns-4{max-width:24%;min-width:24%;margin:0px !important}div.dtsp-columns-5{max-width:19%;min-width:19%;margin:0px !important}div.dtsp-columns-6{max-width:16%;min-width:16%;margin:0px !important}div.dtsp-columns-7{max-width:14%;min-width:14%;margin:0px !important}div.dtsp-columns-8{max-width:12%;min-width:12%;margin:0px !important}div.dtsp-columns-9{max-width:10.5%;min-width:10.5%;margin:0px !important}div.dtsp-narrow{flex-direction:column !important}div.dtsp-narrow div.dtsp-subRow1,div.dtsp-narrow div.dtsp-subRow2{width:100%}div.dtsp-narrow div.dtsp-subRow2 button{margin:0 !important;width:25% !important}div.dt-button-collection{float:none}div.dtsp-panesContainer{margin-bottom:1em}div.dtsp-panesContainer div.dataTables_wrapper{width:100%}div.dtsp-panesContainer div.dataTables_wrapper div.dataTables_layout_cell{padding:0}div.dtsp-panesContainer div.dataTables_wrapper div.dataTables_scrollHead{display:none !important}div.dtsp-panesContainer div.dataTables_wrapper div.dataTables_scrollBody{background:white !important;border-bottom:none}div.dtsp-panesContainer div.dataTables_wrapper div.dataTables_scrollBody thead{display:none}div.dtsp-panesContainer div.dataTables_wrapper div.dataTables_scrollBody table{table-layout:fixed}div.dtsp-panesContainer div.dataTables_wrapper div.dataTables_scrollBody table tr>th,div.dtsp-panesContainer div.dataTables_wrapper div.dataTables_scrollBody table tr>td{padding:5px 10px}div.dtsp-panesContainer div.dataTables_wrapper div.dataTables_scrollBody td.dtsp-nameColumn{width:100% !important}div.dtsp-panesContainer div.dataTables_wrapper div.dataTables_scrollBody div.dtsp-nameCont{width:100%;display:flex;flex-direction:row;justify-content:flex-start;align-content:flex-start;align-items:flex-start}div.dtsp-panesContainer div.dataTables_wrapper div.dataTables_scrollBody div.dtsp-nameCont span.dtsp-name,div.dtsp-panesContainer div.dataTables_wrapper div.dataTables_scrollBody div.dtsp-nameCont span.dtsp-pill{cursor:default}div.dtsp-panesContainer div.dataTables_wrapper div.dataTables_scrollBody div.dtsp-nameCont span.dtsp-name{text-overflow:ellipsis;overflow:hidden;display:inline-block;vertical-align:middle;white-space:nowrap;flex-grow:1;text-align:left}div.dtsp-panesContainer div.dataTables_wrapper div.dataTables_scrollBody div.dtsp-nameCont span.dtsp-pill{display:inline-block;background-color:#cfcfcf;text-align:center;border:1px solid #cfcfcf;border-radius:10px;width:auto;min-width:30px;color:black;font-size:.9em;padding:0 4px}div.dtsp-panesContainer div.dataTables_wrapper div.dataTables_scrollBody div.dtsp-nameCont span.dtsp-pill:empty{display:none}div.dtsp-panesContainer{clear:both;padding-left:0;padding-right:0;text-align:center}div.dtsp-panesContainer div.dtsp-searchPanes{display:flex;flex-direction:row;flex-wrap:wrap;justify-content:space-between;align-content:flex-start;align-items:stretch;clear:both;text-align:left}div.dtsp-panesContainer div.dtsp-searchPanes div.dtsp-searchPane{flex-grow:1;flex-shrink:0;font-size:.9em;margin-top:15px !important}div.dtsp-panesContainer div.dtsp-searchPanes div.dtsp-searchPane div.dataTables_wrapper{flex:1;box-sizing:border-box}div.dtsp-panesContainer div.dtsp-searchPanes div.dtsp-searchPane div.dataTables_wrapper div.dataTables_filter{display:none}div.dtsp-panesContainer div.dtsp-title{float:left;padding:10px 0}div.dtsp-panesContainer button.dtsp-clearAll,div.dtsp-panesContainer button.dtsp-collapseAll,div.dtsp-panesContainer button.dtsp-showAll{float:right;padding:10px}div.dtsp-hidden{display:none !important}div.dtsp-panesContainer div.dtsp-searchPanes div.dtsp-searchPane div.dataTables_wrapper{border:2px solid #f0f0f0;border-radius:4px}div.dtsp-panesContainer div.dtsp-searchPanes div.dtsp-searchPane div.dataTables_wrapper:hover{border:2px solid #cfcfcf}div.dtsp-panesContainer div.dtsp-searchPanes div.dtsp-searchPane div.dtsp-selected{border:2px solid #3276b1;border-radius:4px}div.dtsp-panesContainer div.dtsp-searchPanes div.dtsp-searchPane div.dtsp-selected:hover{border:2px solid #286092}div.dtsp-panesContainer div.dtsp-searchPanes div.dtsp-searchPane div.dtsp-topRow div.dtsp-searchCont input.dtsp-search{border:none;padding-left:3px}div.dtsp-panesContainer div.dtsp-searchPanes div.dtsp-searchPane input.dtsp-paneInputButton,div.dtsp-panesContainer div.dtsp-searchPanes div.dtsp-searchPane button.dtsp-paneButton{height:35px;width:35px;min-width:0;display:inline-block;margin:2px;border:0px solid transparent;background-color:transparent;margin-bottom:0px}div.dtsp-panesContainer div.dtsp-searchPanes div.dtsp-searchPane input.dtsp-paneInputButton:hover,div.dtsp-panesContainer div.dtsp-searchPanes div.dtsp-searchPane button.dtsp-paneButton:hover{background-color:#f0f0f0;border-radius:2px;cursor:pointer}div.dtsp-panesContainer div.dtsp-searchPanes div.dtsp-searchPane button.dtsp-paneButton{opacity:.6}div.dtsp-panesContainer button.dtsp-clearAll,div.dtsp-panesContainer button.dtsp-collapseAll,div.dtsp-panesContainer button.dtsp-showAll{border:1px solid transparent;background-color:transparent}div.dtsp-panesContainer button.dtsp-clearAll:hover,div.dtsp-panesContainer button.dtsp-collapseAll:hover,div.dtsp-panesContainer button.dtsp-showAll:hover{background-color:#f0f0f0;border-radius:2px;cursor:pointer}div.dtsp-panesContainer button.dtsp-disabledButton{cursor:default !important;color:#7c7c7c}div.dtsp-panesContainer button.dtsp-disabledButton:hover{background-color:transparent}div.dtsp-panesContainer button.dtsp-disabledButton:focus{outline:none}div.dtsp-topRow.dtsp-bordered:hover button.dtsp-disabledButton{cursor:pointer !important;pointer-events:none}div.dtsp-topRow.dtsp-bordered:hover input.dtsp-paneInputButton{pointer-events:none}@media screen and (max-width: 767px){div.dtsp-columns-4,div.dtsp-columns-5,div.dtsp-columns-6{max-width:31% !important;min-width:31% !important}}@media screen and (max-width: 640px){div.dtsp-searchPanes{flex-direction:column !important}div.dtsp-searchPane{max-width:98% !important;min-width:98% !important}}
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/SearchPanes/css/searchPanes.foundation.min.css
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/SearchPanes/css/searchPanes.foundation.min.css	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/SearchPanes/css/searchPanes.foundation.min.css	(revision 3761)
@@ -0,0 +1 @@
+div.dtsp-topRow{display:flex;flex-direction:row;flex-wrap:nowrap;border:2px solid rgba(0, 0, 0, 0);border-radius:3px;justify-content:space-around;align-content:flex-start;align-items:flex-start;min-height:37px}div.dtsp-topRow input.dtsp-search{text-overflow:ellipsis;min-width:50px;flex-basis:90px;max-width:none}div.dtsp-topRow input.dtsp-search::placeholder{color:black}div.dtsp-topRow div.dtsp-subRow1{display:flex;flex-direction:row;flex-wrap:nowrap;flex:1 1 auto}div.dtsp-topRow div.dtsp-subRow1 div.dtsp-searchCont{position:relative;width:100%}div.dtsp-topRow div.dtsp-subRow1 div.dtsp-searchCont input.dtsp-disabledButton{padding-top:10px;padding-bottom:10px;background-color:transparent}div.dtsp-topRow div.dtsp-subRow1 input{padding-right:2em;width:100% !important;box-sizing:border-box;font-size:1em}div.dtsp-topRow div.dtsp-subRow1 button.dtsp-searchIcon{position:absolute;top:0;right:0;bottom:0;background-image:url("data:image/png;base64,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") !important;background-repeat:no-repeat;background-position:center;background-size:12px}div.dtsp-topRow div.dtsp-subRow2{white-space:nowrap;flex:0 0 auto}div.dtsp-topRow 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div.dtsp-panesContainer{width:100%;padding:10px}div.dtsp-searchPane div.dtsp-title button{margin-bottom:0}div.dtsp-searchPane div.dtsp-topRow{margin:.5em 0}div.dtsp-searchPane div.dtsp-topRow div.dtsp-subRow2{margin-left:.5em}div.dtsp-searchPane div.dtsp-topRow input{min-height:40px}div.dtsp-searchPane div.dtsp-topRow .button-group{margin-bottom:0}div.dtsp-searchPane div.dtsp-topRow button{width:35px;margin-bottom:0}div.dtsp-searchPane div.dtsp-topRow button.dtsp-searchIcon{height:40px}div.dtsp-searchPane div.dtsp-topRow button.dtsp-collapseButton span{right:1px}div.dtsp-searchPane div.dtsp-topRow.dtsp-bordered:hover button.disabled{cursor:pointer !important;pointer-events:none}div.dtsp-searchPane div.dtsp-topRow.dtsp-bordered:hover input.dtsp-paneInputButton{pointer-events:none}div.dtsp-searchPane div.dataTables_wrapper{border:2px #f0f0f0 solid}div.dtsp-searchPane div.dataTables_wrapper:hover{border:2px solid #cfcfcf !important}div.dtsp-searchPane div.dataTables_wrapper div.dtsp-nameCont span.badge{min-width:30px;line-height:1.25em;margin-top:2.5px;border-radius:9px}div.dtsp-searchPane div.dataTables_wrapper div.dtsp-nameCont span.badge:empty{display:none}
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/SearchPanes/js/searchPanes.bootstrap5.min.js
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/SearchPanes/js/searchPanes.bootstrap5.min.js	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/SearchPanes/js/searchPanes.bootstrap5.min.js	(revision 3761)
@@ -0,0 +1,6 @@
+/*!
+ Bootstrap 5 integration for DataTables' SearchPanes
+ Â©2016 SpryMedia Ltd - datatables.net/license
+*/
+(function(b){"function"===typeof define&&define.amd?define(["jquery","datatables.net-bs5","datatables.net-searchpanes"],function(a){return b(a)}):"object"===typeof exports?module.exports=function(a,c){a||(a=window);c&&c.fn.dataTable||(c=require("datatables.net-bs5")(a,c).$);c.fn.dataTable.SearchPanes||require("datatables.net-searchpanes")(a,c);return b(c)}:b(jQuery)})(function(b){var a=b.fn.dataTable;b.extend(!0,a.SearchPane.classes,{buttonGroup:"btn-group",disabledButton:"disabled",narrow:"col",
+pane:{container:"table"},paneButton:"btn btn-light",pill:"badge rounded-pill bg-secondary",search:"form-control search",table:"table table-sm table-borderless",topRow:"dtsp-topRow"});b.extend(!0,a.SearchPanes.classes,{clearAll:"dtsp-clearAll btn btn-light",collapseAll:"dtsp-collapseAll btn btn-light",container:"dtsp-searchPanes",disabledButton:"disabled",panes:"dtsp-panes dtsp-panesContainer",showAll:"dtsp-showAll btn btn-light",title:"dtsp-title",titleRow:"dtsp-titleRow"});return a.searchPanes});
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/SearchPanes/js/dataTables.searchPanes.min.js
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/SearchPanes/js/dataTables.searchPanes.min.js	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/SearchPanes/js/dataTables.searchPanes.min.js	(revision 3761)
@@ -0,0 +1,137 @@
+/*!
+ SearchPanes 2.0.2
+ 2019-2022 SpryMedia Ltd - datatables.net/license
+*/
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+this.s={colExists:c<a,colOpts:void 0,customPaneSettings:e,displayed:!1,dt:b,dtPane:void 0,firstSet:!0,index:c,indexes:[],listSet:!1,name:void 0,rowData:{arrayFilter:[],arrayOriginal:[],bins:{},binsOriginal:{},filterMap:new Map,totalOptions:0},scrollTop:0,searchFunction:void 0,selections:[],serverSelect:[],serverSelecting:!1,tableLength:null,updating:!1};this.s.colOpts=this.s.colExists?this._getOptions():this._getBonusOptions();this.dom={buttonGroup:k("<div/>").addClass(this.classes.buttonGroup),clear:k('<button type="button">&#215;</button>').attr("disabled",
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+h.prototype.adjustTopRow=function(){var b=this.dom.container.find("."+this.classes.subRowsContainer.replace(/\s+/g,".")),a=this.dom.container.find("."+this.classes.subRow1.replace(/\s+/g,".")),c=this.dom.container.find("."+this.classes.subRow2.replace(/\s+/g,".")),d=this.dom.container.find("."+this.classes.topRow.replace(/\s+/g,"."));(252>k(b[0]).width()||252>k(d[0]).width())&&0!==k(b[0]).width()?(k(b[0]).addClass(this.classes.narrow),k(a[0]).addClass(this.classes.narrowSub).removeClass(this.classes.narrowSearch),
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+this.updateTable();return this};h.prototype.collapse=function(){var b=this;this.s.displayed&&(this.c.collapse||!0===this.s.colOpts.collapse)&&!1!==this.s.colOpts.collapse&&(k(this.s.dtPane.table().container()).addClass(this.classes.hidden),this.dom.topRow.addClass(this.classes.bordered),this.dom.nameButton.addClass(this.classes.disabledButton),this.dom.countButton.addClass(this.classes.disabledButton),this.dom.searchButton.addClass(this.classes.disabledButton),this.dom.collapseButton.addClass(this.classes.rotated),
+this.dom.topRow.one("click.dtsp",function(){return b.show()}))};h.prototype.destroy=function(){this.s.dtPane&&this.s.dtPane.off(".dtsp");this.s.dt.off(".dtsp");this.dom.clear.off(".dtsp");this.dom.nameButton.off(".dtsp");this.dom.countButton.off(".dtsp");this.dom.searchButton.off(".dtsp");this.dom.collapseButton.off(".dtsp");k(this.s.dt.table().node()).off(".dtsp");this.dom.container.detach();for(var b=k.fn.dataTable.ext.search.indexOf(this.s.searchFunction);-1!==b;)k.fn.dataTable.ext.search.splice(b,
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+0};h.prototype.rebuildPane=function(b,a){void 0===b&&(b=null);void 0===a&&(a=!1);this.clearData();var c=[];this.s.serverSelect=[];var d=null;this.s.dtPane&&(a&&(this.s.dt.page.info().serverSide?this.s.serverSelect=this.s.dtPane.rows({selected:!0}).data().toArray():c=this.s.dtPane.rows({selected:!0}).data().toArray()),this.s.dtPane.clear().destroy(),d=this.dom.container.prev(),this.destroy(),this.s.dtPane=void 0,k.fn.dataTable.ext.search.push(this.s.searchFunction));this.dom.container.removeClass(this.classes.hidden);
+this.s.displayed=!1;this._buildPane(this.s.dt.page.info().serverSide?this.s.serverSelect:c,b,d);return this};h.prototype.resize=function(b){this.c.layout=b;this.dom.container.removeClass().addClass(this.classes.show).addClass(this.classes.container).addClass(this.s.colOpts.className).addClass(this.classes.layout+(10>parseInt(b.split("-")[1],10)?b:b.split("-")[0]+"-9")).addClass(null!==this.s.customPaneSettings&&this.s.customPaneSettings.className?this.s.customPaneSettings.className:"");this.adjustTopRow()};
+h.prototype.setListeners=function(){var b=this;this.s.dtPane&&(this.s.dtPane.select.style(this.s.colOpts.dtOpts&&this.s.colOpts.dtOpts.select&&this.s.colOpts.dtOpts.select.style?this.s.colOpts.dtOpts.select.style:this.c.dtOpts&&this.c.dtOpts.select&&this.c.dtOpts.select.style?this.c.dtOpts.select.style:"os"),this.s.dtPane.off("select.dtsp").on("select.dtsp",function(){clearTimeout(b.s.deselectTimeout);b._updateSelection(!b.s.updating);b.dom.clear.removeClass(b.classes.disabledButton).removeAttr("disabled")}),
+this.s.dtPane.off("deselect.dtsp").on("deselect.dtsp",function(){b.s.deselectTimeout=setTimeout(function(){b._updateSelection(!0);0===b.s.dtPane.rows({selected:!0}).data().toArray().length&&b.dom.clear.addClass(b.classes.disabledButton).attr("disabled","true")},50)}),this.s.firstSet&&(this.s.firstSet=!1,this.s.dt.on("stateSaveParams.dtsp",function(a,c,d){if(k.isEmptyObject(d))b.s.dtPane.state.clear();else{a=[];if(b.s.dtPane){a=b.s.dtPane.rows({selected:!0}).data().map(function(w){return w.filter.toString()}).toArray();
+var e=b.dom.searchBox.val();var f=b.s.dtPane.order();var g=b.s.rowData.binsOriginal;var m=b.s.rowData.arrayOriginal;var t=b.dom.collapseButton.hasClass(b.classes.rotated)}void 0===d.searchPanes&&(d.searchPanes={});void 0===d.searchPanes.panes&&(d.searchPanes.panes=[]);for(c=0;c<d.searchPanes.panes.length;c++)d.searchPanes.panes[c].id===b.s.index&&(d.searchPanes.panes.splice(c,1),c--);d.searchPanes.panes.push({arrayFilter:m,bins:g,collapsed:t,id:b.s.index,order:f,searchTerm:e,selected:a})}})),this.s.dtPane.off("user-select.dtsp").on("user-select.dtsp",
+function(a,c,d,e,f){f.stopPropagation()}),this.s.dtPane.off("draw.dtsp").on("draw.dtsp",function(){return b.adjustTopRow()}),this.dom.nameButton.off("click.dtsp").on("click.dtsp",function(){var a=b.s.dtPane.order()[0][1];b.s.dtPane.order([0,"asc"===a?"desc":"asc"]).draw();b.s.dt.state.save()}),this.dom.countButton.off("click.dtsp").on("click.dtsp",function(){var a=b.s.dtPane.order()[0][1];b.s.dtPane.order([1,"asc"===a?"desc":"asc"]).draw();b.s.dt.state.save()}),this.dom.collapseButton.off("click.dtsp").on("click.dtsp",
+function(a){a.stopPropagation();a=k(b.s.dtPane.table().container());a.toggleClass(b.classes.hidden);b.dom.topRow.toggleClass(b.classes.bordered);b.dom.nameButton.toggleClass(b.classes.disabledButton);b.dom.countButton.toggleClass(b.classes.disabledButton);b.dom.searchButton.toggleClass(b.classes.disabledButton);b.dom.collapseButton.toggleClass(b.classes.rotated);if(a.hasClass(b.classes.hidden))b.dom.topRow.on("click.dtsp",function(){return b.dom.collapseButton.click()});else b.dom.topRow.off("click.dtsp");
+b.s.dt.state.save()}),this.dom.clear.off("click.dtsp").on("click.dtsp",function(){b.dom.container.find("."+b.classes.search.replace(/ /g,".")).each(function(){k(this).val("").trigger("input")});b.clearPane()}),this.dom.searchButton.off("click.dtsp").on("click.dtsp",function(){return b.dom.searchBox.focus()}),this.dom.searchBox.off("click.dtsp").on("input.dtsp",function(){var a=b.dom.searchBox.val();b.s.dtPane.search(a).draw();"string"===typeof a&&(0<a.length||0===a.length&&0<b.s.dtPane.rows({selected:!0}).data().toArray().length)?
+b.dom.clear.removeClass(b.classes.disabledButton).removeAttr("disabled"):b.dom.clear.addClass(b.classes.disabledButton).attr("disabled","true");b.s.dt.state.save()}),this.s.dtPane.select.style(this.s.colOpts.dtOpts&&this.s.colOpts.dtOpts.select&&this.s.colOpts.dtOpts.select.style?this.s.colOpts.dtOpts.select.style:this.c.dtOpts&&this.c.dtOpts.select&&this.c.dtOpts.select.style?this.c.dtOpts.select.style:"os"))};h.prototype._serverPopulate=function(b){if(b.tableLength)this.s.tableLength=b.tableLength,
+this.s.rowData.totalOptions=this.s.tableLength;else if(null===this.s.tableLength||this.s.dt.rows()[0].length>this.s.tableLength)this.s.tableLength=this.s.dt.rows()[0].length,this.s.rowData.totalOptions=this.s.tableLength;var a=this.s.dt.column(this.s.index).dataSrc();if(b.searchPanes.options[a]){var c=0;for(b=b.searchPanes.options[a];c<b.length;c++)a=b[c],this.s.rowData.arrayFilter.push({display:a.label,filter:a.value,sort:a.label,type:a.label}),this.s.rowData.bins[a.value]=a.total}c=Object.keys(this.s.rowData.bins).length;
+b=this._uniqueRatio(c,this.s.tableLength);!1===this.s.displayed&&((void 0===this.s.colOpts.show&&null===this.s.colOpts.threshold?b>this.c.threshold:b>this.s.colOpts.threshold)||!0!==this.s.colOpts.show&&1>=c)?(this.dom.container.addClass(this.classes.hidden),this.s.displayed=!1):(this.s.rowData.arrayOriginal=this.s.rowData.arrayFilter,this.s.rowData.binsOriginal=this.s.rowData.bins,this.s.displayed=!0)};h.prototype.show=function(){this.s.displayed&&(this.dom.topRow.removeClass(this.classes.bordered),
+this.dom.nameButton.removeClass(this.classes.disabledButton),this.dom.countButton.removeClass(this.classes.disabledButton),this.dom.searchButton.removeClass(this.classes.disabledButton),this.dom.collapseButton.removeClass(this.classes.rotated),k(this.s.dtPane.table().container()).removeClass(this.classes.hidden))};h.prototype._uniqueRatio=function(b,a){return 0<a&&(0<this.s.rowData.totalOptions&&!this.s.dt.page.info().serverSide||this.s.dt.page.info().serverSide&&0<this.s.tableLength)?b/this.s.rowData.totalOptions:
+1};h.prototype.updateTable=function(){var b=this.s.dtPane.rows({selected:!0}).data().toArray().map(function(a){return a.filter});this.s.selections=b;this._searchExtras()};h.prototype._getComparisonRows=function(){var b=this.s.colOpts.options?this.s.colOpts.options:this.s.customPaneSettings&&this.s.customPaneSettings.options?this.s.customPaneSettings.options:void 0;if(void 0!==b){var a=this.s.dt.rows(),c=a.data().toArray(),d=[];this.s.dtPane.clear();this.s.indexes=[];for(var e=0;e<b.length;e++){var f=
+b[e],g=""!==f.label?f.label:this.emptyMessage(),m=f.className,t=g,w="function"===typeof f.value?f.value:[],A=g,z=0;if("function"===typeof f.value){for(var x=0;x<c.length;x++)f.value.call(this.s.dt,c[x],a[0][x])&&z++;"function"!==typeof w&&w.push(f.filter)}d.push(this.addRow(t,w,A,g,m,z))}return d}};h.prototype._getMessage=function(b){return this.s.dt.i18n("searchPanes.count",this.c.i18n.count).replace(/{total}/g,b.total)};h.prototype._getShown=function(b){};h.prototype._getPaneConfig=function(){var b=
+this,a=q.Scroller,c=this.s.dt.settings()[0].oLanguage;c.url=void 0;c.sUrl=void 0;return{columnDefs:[{className:"dtsp-nameColumn",data:"display",render:function(d,e,f){if("sort"===e)return f.sort;if("type"===e)return f.type;f=b._getMessage(f);f='<span class="'+b.classes.pill+'">'+f+"</span>";b.c.viewCount&&b.s.colOpts.viewCount||(f="");return"filter"===e?"string"===typeof d&&null!==d.match(/<[^>]*>/)?d.replace(/<[^>]*>/g,""):d:'<div class="'+b.classes.nameCont+'"><span title="'+("string"===typeof d&&
+null!==d.match(/<[^>]*>/)?d.replace(/<[^>]*>/g,""):d)+'" class="'+b.classes.name+'">'+d+"</span>"+f+"</div>"},targets:0,type:this.s.dt.settings()[0].aoColumns[this.s.index]?this.s.dt.settings()[0].aoColumns[this.s.index]._sManualType:null},{className:"dtsp-countColumn "+this.classes.badgePill,data:"total",searchable:!1,targets:1,visible:!1}],deferRender:!0,dom:"t",info:!1,language:c,paging:a?!0:!1,scrollX:!1,scrollY:"200px",scroller:a?!0:!1,select:!0,stateSave:this.s.dt.settings()[0].oFeatures.bStateSave?
+!0:!1}};h.prototype._makeSelection=function(){this.updateTable();this.s.updating=!0;this.s.dt.draw();this.s.updating=!1};h.prototype._populatePaneArray=function(b,a,c,d){void 0===d&&(d=this.s.rowData.bins);if("string"===typeof this.s.colOpts.orthogonal)c=c.oApi._fnGetCellData(c,b,this.s.index,this.s.colOpts.orthogonal),this.s.rowData.filterMap.set(b,c),this._addOption(c,c,c,c,a,d);else{var e=c.oApi._fnGetCellData(c,b,this.s.index,this.s.colOpts.orthogonal.search);null===e&&(e="");"string"===typeof e&&
+(e=e.replace(/<[^>]*>/g,""));this.s.rowData.filterMap.set(b,e);d[e]?d[e]++:(d[e]=1,this._addOption(e,c.oApi._fnGetCellData(c,b,this.s.index,this.s.colOpts.orthogonal.display),c.oApi._fnGetCellData(c,b,this.s.index,this.s.colOpts.orthogonal.sort),c.oApi._fnGetCellData(c,b,this.s.index,this.s.colOpts.orthogonal.type),a,d))}this.s.rowData.totalOptions++};h.prototype._reloadSelect=function(b){if(void 0!==b){for(var a,c=0;c<b.searchPanes.panes.length;c++)if(b.searchPanes.panes[c].id===this.s.index){a=
+c;break}if(a){c=this.s.dtPane;var d=c.rows({order:"index"}).data().map(function(g){return null!==g.filter?g.filter.toString():null}).toArray(),e=0;for(b=b.searchPanes.panes[a].selected;e<b.length;e++){a=b[e];var f=-1;null!==a&&(f=d.indexOf(a.toString()));-1<f&&(this.s.serverSelecting=!0,c.row(f).select(),this.s.serverSelecting=!1)}}}};h.prototype._updateSelection=function(b){this.s.scrollTop=k(this.s.dtPane.table().node()).parent()[0].scrollTop;this.s.dt.page.info().serverSide&&!this.s.updating?this.s.serverSelecting||
+(this.s.serverSelect=this.s.dtPane.rows({selected:!0}).data().toArray(),this.s.dt.draw(!1)):b&&this._makeSelection()};h.prototype._addOption=function(b,a,c,d,e,f){if(Array.isArray(b)||b instanceof q.Api)if(b instanceof q.Api&&(b=b.toArray(),a=a.toArray()),b.length===a.length)for(var g=0;g<b.length;g++)f[b[g]]?f[b[g]]++:(f[b[g]]=1,e.push({display:a[g],filter:b[g],sort:c[g],type:d[g]})),this.s.rowData.totalOptions++;else throw Error("display and filter not the same length");else"string"===typeof this.s.colOpts.orthogonal?
+(f[b]?f[b]++:(f[b]=1,e.push({display:a,filter:b,sort:c,type:d})),this.s.rowData.totalOptions++):e.push({display:a,filter:b,sort:c,type:d})};h.prototype._buildPane=function(b,a,c){var d=this;void 0===b&&(b=[]);void 0===a&&(a=null);void 0===c&&(c=null);this.s.selections=[];var e=this.s.dt.state.loaded();this.s.listSet&&(e=this.s.dt.state());if(this.s.colExists){var f=-1;if(e&&e.searchPanes&&e.searchPanes.panes)for(var g=0;g<e.searchPanes.panes.length;g++)if(e.searchPanes.panes[g].id===this.s.index){f=
+g;break}if((!1===this.s.colOpts.show||void 0!==this.s.colOpts.show&&!0!==this.s.colOpts.show)&&-1===f)return this.dom.container.addClass(this.classes.hidden),this.s.displayed=!1;if(!0===this.s.colOpts.show||-1!==f)this.s.displayed=!0;if(this.s.dt.page.info().serverSide||a&&a.searchPanes&&a.searchPanes.options)a&&a.searchPanes&&a.searchPanes.options&&this._serverPopulate(a);else{0===this.s.rowData.arrayFilter.length&&(this.s.rowData.totalOptions=0,this._populatePane(),this.s.rowData.arrayOriginal=
+this.s.rowData.arrayFilter,this.s.rowData.binsOriginal=this.s.rowData.bins);g=Object.keys(this.s.rowData.binsOriginal).length;f=this._uniqueRatio(g,this.s.dt.rows()[0].length);if(!1===this.s.displayed&&((void 0===this.s.colOpts.show&&null===this.s.colOpts.threshold?f>this.c.threshold:f>this.s.colOpts.threshold)||!0!==this.s.colOpts.show&&1>=g)){this.dom.container.addClass(this.classes.hidden);this.s.displayed=!1;return}this.dom.container.addClass(this.classes.show);this.s.displayed=!0}}else this.s.displayed=
+!0;this._displayPane();if(!this.s.listSet)this.dom.dtP.on("stateLoadParams.dtsp",function(w,A,z){k.isEmptyObject(d.s.dt.state.loaded())&&k.each(z,function(x){delete z[x]})});null!==c&&0<this.dom.panesContainer.has(c).length?this.dom.container.insertAfter(c):this.dom.panesContainer.prepend(this.dom.container);c=k.fn.dataTable.ext.errMode;k.fn.dataTable.ext.errMode="none";this.s.dtPane=this.dom.dtP.DataTable(k.extend(!0,this._getPaneConfig(),this.c.dtOpts,this.s.colOpts?this.s.colOpts.dtOpts:{},this.s.colOpts.options||
+!this.s.colExists?{createdRow:function(w,A){k(w).addClass(A.className)}}:void 0,null!==this.s.customPaneSettings&&this.s.customPaneSettings.dtOpts?this.s.customPaneSettings.dtOpts:{},k.fn.dataTable.versionCheck("2")?{layout:{bottomLeft:null,bottomRight:null,topLeft:null,topRight:null}}:{}));this.dom.dtP.addClass(this.classes.table);g="Custom Pane";this.s.customPaneSettings&&this.s.customPaneSettings.header?g=this.s.customPaneSettings.header:this.s.colOpts.header?g=this.s.colOpts.header:this.s.colExists&&
+(g=k.fn.dataTable.versionCheck("2")?this.s.dt.column(this.s.index).title():this.s.dt.settings()[0].aoColumns[this.s.index].sTitle);g=this._escapeHTML(g);this.dom.searchBox.attr("placeholder",g);k.fn.dataTable.select.init(this.s.dtPane);k.fn.dataTable.ext.errMode=c;if(this.s.colExists)for(g=0,f=this.s.rowData.arrayFilter.length;g<f;g++)if(this.s.dt.page.info().serverSide){c=this.addRow(this.s.rowData.arrayFilter[g].display,this.s.rowData.arrayFilter[g].filter,this.s.rowData.arrayFilter[g].sort,this.s.rowData.arrayFilter[g].type);
+for(var m=0,t=this.s.serverSelect;m<t.length;m++)t[m].filter===this.s.rowData.arrayFilter[g].filter&&(this.s.serverSelecting=!0,c.select(),this.s.serverSelecting=!1)}else!this.s.dt.page.info().serverSide&&this.s.rowData.arrayFilter[g]?this.addRow(this.s.rowData.arrayFilter[g].display,this.s.rowData.arrayFilter[g].filter,this.s.rowData.arrayFilter[g].sort,this.s.rowData.arrayFilter[g].type):this.s.dt.page.info().serverSide||this.addRow("","","","");q.select.init(this.s.dtPane);(this.s.colOpts.options||
+this.s.customPaneSettings&&this.s.customPaneSettings.options)&&this._getComparisonRows();this.s.dtPane.draw();this.s.dtPane.table().node().parentNode.scrollTop=this.s.scrollTop;this.adjustTopRow();this.setListeners();this.s.listSet=!0;for(g=0;g<b.length;g++)if(f=b[g])for(m=0,t=this.s.dtPane.rows().indexes().toArray();m<t.length;m++)c=t[m],this.s.dtPane.row(c).data()&&f.filter===this.s.dtPane.row(c).data().filter&&(this.s.dt.page.info().serverSide?(this.s.serverSelecting=!0,this.s.dtPane.row(c).select(),
+this.s.serverSelecting=!1):this.s.dtPane.row(c).select());this.s.dt.page.info().serverSide&&this.s.dtPane.search(this.dom.searchBox.val()).draw();if((this.c.initCollapsed&&!1!==this.s.colOpts.initCollapsed||this.s.colOpts.initCollapsed)&&(this.c.collapse&&!1!==this.s.colOpts.collapse||this.s.colOpts.collapse))if(this.s.dtPane.settings()[0]._bInitComplete)this.collapse();else this.s.dtPane.one("init",function(){return d.collapse()});if(e&&e.searchPanes&&e.searchPanes.panes&&(!a||1===a.draw))for(this._reloadSelect(e),
+a=0,e=e.searchPanes.panes;a<e.length;a++)b=e[a],b.id===this.s.index&&(b.searchTerm&&0<b.searchTerm.length&&this.dom.searchBox.val(b.searchTerm).trigger("input"),b.order&&this.s.dtPane.order(b.order).draw(),b.collapsed?this.collapse():this.show());return!0};h.prototype._displayPane=function(){this.dom.dtP.empty();this.dom.topRow.empty().addClass(this.classes.topRow);3<parseInt(this.c.layout.split("-")[1],10)&&this.dom.container.addClass(this.classes.smallGap);this.dom.topRow.addClass(this.classes.subRowsContainer).append(this.dom.upper.append(this.dom.searchCont)).append(this.dom.lower.append(this.dom.buttonGroup));
+(!1===this.c.dtOpts.searching||this.s.colOpts.dtOpts&&!1===this.s.colOpts.dtOpts.searching||!this.c.controls||!this.s.colOpts.controls||this.s.customPaneSettings&&this.s.customPaneSettings.dtOpts&&void 0!==this.s.customPaneSettings.dtOpts.searching&&!this.s.customPaneSettings.dtOpts.searching)&&this.dom.searchBox.removeClass(this.classes.paneInputButton).addClass(this.classes.disabledButton).attr("disabled","true");this.dom.searchBox.appendTo(this.dom.searchCont);this._searchContSetup();this.c.clear&&
+this.c.controls&&this.s.colOpts.controls&&this.dom.clear.appendTo(this.dom.buttonGroup);this.c.orderable&&this.s.colOpts.orderable&&this.c.controls&&this.s.colOpts.controls&&this.dom.nameButton.appendTo(this.dom.buttonGroup);this.c.viewCount&&this.s.colOpts.viewCount&&this.c.orderable&&this.s.colOpts.orderable&&this.c.controls&&this.s.colOpts.controls&&this.dom.countButton.appendTo(this.dom.buttonGroup);(this.c.collapse&&!1!==this.s.colOpts.collapse||this.s.colOpts.collapse)&&this.c.controls&&this.s.colOpts.controls&&
+this.dom.collapseButton.appendTo(this.dom.buttonGroup);this.dom.container.prepend(this.dom.topRow).append(this.dom.dtP).show()};h.prototype._escapeHTML=function(b){return b.toString().replace(/&amp;/g,"&").replace(/&lt;/g,"<").replace(/&gt;/g,">").replace(/&quot;/g,'"')};h.prototype._getBonusOptions=function(){return k.extend(!0,{},h.defaults,{threshold:null},this.c?this.c:{})};h.prototype._getOptions=function(){var b=this.s.dt.settings()[0].aoColumns[this.s.index].searchPanes,a=k.extend(!0,{},h.defaults,
+{collapse:null,emptyMessage:!1,initCollapsed:null,threshold:null},b);b&&b.hideCount&&void 0===b.viewCount&&(a.viewCount=!b.hideCount);return a};h.prototype._populatePane=function(){this.s.rowData.arrayFilter=[];this.s.rowData.bins={};var b=this.s.dt.settings()[0];if(!this.s.dt.page.info().serverSide)for(var a=0,c=this.s.dt.rows().indexes().toArray();a<c.length;a++)this._populatePaneArray(c[a],this.s.rowData.arrayFilter,b)};h.prototype._search=function(b,a){for(var c=this.s.colOpts,d=this.s.dt,e=0,
+f=this.s.selections;e<f.length;e++){var g=f[e];"string"===typeof g&&"string"===typeof b&&(g=this._escapeHTML(g));if(Array.isArray(b))if("and"===c.combiner){if(!b.includes(g))return!1}else{if(b.includes(g))return!0}else if("function"===typeof g)if(g.call(d,d.row(a).data(),a)){if("or"===c.combiner)return!0}else{if("and"===c.combiner)return!1}else if(b===g||("string"!==typeof b||0!==b.length)&&b==g||null===g&&"string"===typeof b&&""===b)return!0}return"and"===c.combiner?!0:!1};h.prototype._searchContSetup=
+function(){this.c.controls&&this.s.colOpts.controls&&this.dom.searchButton.appendTo(this.dom.searchLabelCont);!1===this.c.dtOpts.searching||!1===this.s.colOpts.dtOpts.searching||this.s.customPaneSettings&&this.s.customPaneSettings.dtOpts&&void 0!==this.s.customPaneSettings.dtOpts.searching&&!this.s.customPaneSettings.dtOpts.searching||this.dom.searchLabelCont.appendTo(this.dom.searchCont)};h.prototype._searchExtras=function(){var b=this.s.updating;this.s.updating=!0;var a=this.s.dtPane.rows({selected:!0}).data().pluck("filter").toArray(),
+c=a.indexOf(this.emptyMessage()),d=k(this.s.dtPane.table().container());-1<c&&(a[c]="");0<a.length?d.addClass(this.classes.selected):0===a.length&&d.removeClass(this.classes.selected);this.s.updating=b};h.version="2.0.0-dev";h.classes={bordered:"dtsp-bordered",buttonGroup:"dtsp-buttonGroup",buttonSub:"dtsp-buttonSub",caret:"dtsp-caret",clear:"dtsp-clear",clearAll:"dtsp-clearAll",clearButton:"clearButton",collapseAll:"dtsp-collapseAll",collapseButton:"dtsp-collapseButton",container:"dtsp-searchPane",
+countButton:"dtsp-countButton",disabledButton:"dtsp-disabledButton",hidden:"dtsp-hidden",hide:"dtsp-hide",layout:"dtsp-",name:"dtsp-name",nameButton:"dtsp-nameButton",nameCont:"dtsp-nameCont",narrow:"dtsp-narrow",paneButton:"dtsp-paneButton",paneInputButton:"dtsp-paneInputButton",pill:"dtsp-pill",rotated:"dtsp-rotated",search:"dtsp-search",searchCont:"dtsp-searchCont",searchIcon:"dtsp-searchIcon",searchLabelCont:"dtsp-searchButtonCont",selected:"dtsp-selected",smallGap:"dtsp-smallGap",subRow1:"dtsp-subRow1",
+subRow2:"dtsp-subRow2",subRowsContainer:"dtsp-subRowsContainer",title:"dtsp-title",topRow:"dtsp-topRow"};h.defaults={clear:!0,collapse:!0,combiner:"or",container:function(b){return b.table().container()},controls:!0,dtOpts:{},emptyMessage:null,hideCount:!1,i18n:{clearPane:"&times;",count:"{total}",emptyMessage:"<em>No data</em>"},initCollapsed:!1,layout:"auto",name:void 0,orderable:!0,orthogonal:{display:"display",filter:"filter",hideCount:!1,search:"filter",show:void 0,sort:"sort",threshold:.6,type:"type",
+viewCount:!0},preSelect:[],threshold:.6,viewCount:!0};return h}(),B=window&&window.__extends||function(){var h=function(b,a){h=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(c,d){c.__proto__=d}||function(c,d){for(var e in d)d.hasOwnProperty(e)&&(c[e]=d[e])};return h(b,a)};return function(b,a){function c(){this.constructor=b}h(b,a);b.prototype=null===a?Object.create(a):(c.prototype=a.prototype,new c)}}(),C=function(h){function b(a,c,d,e,f){return h.call(this,a,c,d,e,f)||this}B(b,h);
+b.prototype._serverPopulate=function(a){this.s.rowData.binsShown={};this.s.rowData.arrayFilter=[];if(void 0!==a.tableLength)this.s.tableLength=a.tableLength,this.s.rowData.totalOptions=this.s.tableLength;else if(null===this.s.tableLength||this.s.dt.rows()[0].length>this.s.tableLength)this.s.tableLength=this.s.dt.rows()[0].length,this.s.rowData.totalOptions=this.s.tableLength;var c=this.s.dt.column(this.s.index).dataSrc();if(void 0!==a.searchPanes.options[c]){var d=0;for(a=a.searchPanes.options[c];d<
+a.length;d++)c=a[d],this.s.rowData.arrayFilter.push({display:c.label,filter:c.value,shown:+c.count,sort:c.label,total:+c.total,type:c.label}),this.s.rowData.binsShown[c.value]=+c.count,this.s.rowData.bins[c.value]=+c.total}d=Object.keys(this.s.rowData.bins).length;a=this._uniqueRatio(d,this.s.tableLength);if(!this.s.colOpts.show&&!1===this.s.displayed&&((void 0===this.s.colOpts.show&&null===this.s.colOpts.threshold?a>this.c.threshold:a>this.s.colOpts.threshold)||!0!==this.s.colOpts.show&&1>=d))this.dom.container.addClass(this.classes.hidden),
+this.s.displayed=!1;else if(this.s.rowData.arrayOriginal=this.s.rowData.arrayFilter,this.s.rowData.binsOriginal=this.s.rowData.bins,this.s.displayed=!0,this.s.dtPane){d=this.s.serverSelect;this.s.dtPane.rows().remove();for(var e=0,f=this.s.rowData.arrayFilter;e<f.length;e++)if(a=f[e],this._shouldAddRow(a)){c=this.addRow(a.display,a.filter,a.sort,a.type);for(var g=0;g<d.length;g++){var m=d[g];if(m.filter===a.filter){this.s.serverSelecting=!0;c.select();this.s.serverSelecting=!1;d.splice(g,1);this.s.selections.push(a.filter);
+break}}}for(e=0;e<d.length;e++)for(m=d[e],f=0,g=this.s.rowData.arrayOriginal;f<g.length;f++)a=g[f],a.filter===m.filter&&(c=this.addRow(a.display,a.filter,a.sort,a.type),this.s.serverSelecting=!0,c.select(),this.s.serverSelecting=!1,this.s.selections.push(a.filter));this.s.serverSelect=this.s.dtPane.rows({selected:!0}).data().toArray();this.s.dtPane.draw()}};b.prototype.updateRows=function(){if(!this.s.dt.page.info().serverSide){this.s.rowData.binsShown={};for(var a=0,c=this.s.dt.rows({search:"applied"}).indexes().toArray();a<
+c.length;a++)this._updateShown(c[a],this.s.dt.settings()[0],this.s.rowData.binsShown)}a=0;for(c=this.s.dtPane.rows().data().toArray();a<c.length;a++){var d=c[a];d.shown="number"===typeof this.s.rowData.binsShown[d.filter]?this.s.rowData.binsShown[d.filter]:0;this.s.dtPane.row(d.index).data(d)}this.s.dtPane.draw();this.s.dtPane.table().node().parentNode.scrollTop=this.s.scrollTop};b.prototype._makeSelection=function(){};b.prototype._reloadSelect=function(){};b.prototype._shouldAddRow=function(a){return!0};
+b.prototype._updateSelection=function(){!this.s.dt.page.info().serverSide||this.s.updating||this.s.serverSelecting||(this.s.serverSelect=this.s.dtPane.rows({selected:!0}).data().toArray())};b.prototype._updateShown=function(a,c,d){void 0===d&&(d=this.s.rowData.binsShown);a=c.oApi._fnGetCellData(c,a,this.s.index,"string"===typeof this.s.colOpts.orthogonal?this.s.colOpts.orthogonal:this.s.colOpts.orthogonal.search);if(Array.isArray(a))for(c=0;c<a.length;c++){var e=a[c];d[e]?d[e]++:d[e]=1}else d[a]?
+d[a]++:d[a]=1};return b}(v),H=window&&window.__extends||function(){var h=function(b,a){h=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(c,d){c.__proto__=d}||function(c,d){for(var e in d)d.hasOwnProperty(e)&&(c[e]=d[e])};return h(b,a)};return function(b,a){function c(){this.constructor=b}h(b,a);b.prototype=null===a?Object.create(a):(c.prototype=a.prototype,new c)}}(),r,p=function(h){function b(a,c,d,e,f){return h.call(this,a,r.extend({i18n:{countFiltered:"{shown} ({total})"}},c),d,
+e,f)||this}H(b,h);b.prototype._getMessage=function(a){var c=this.s.dt.i18n("searchPanes.count",this.c.i18n.count),d=this.s.dt.i18n("searchPanes.countFiltered",this.c.i18n.countFiltered);return(this.s.filteringActive?d:c).replace(/{total}/g,a.total).replace(/{shown}/g,a.shown)};b.prototype._getShown=function(a){return this.s.rowData.binsShown&&this.s.rowData.binsShown[a]?this.s.rowData.binsShown[a]:0};return b}(C),u=window&&window.__extends||function(){var h=function(b,a){h=Object.setPrototypeOf||
+{__proto__:[]}instanceof Array&&function(c,d){c.__proto__=d}||function(c,d){for(var e in d)d.hasOwnProperty(e)&&(c[e]=d[e])};return h(b,a)};return function(b,a){function c(){this.constructor=b}h(b,a);b.prototype=null===a?Object.create(a):(c.prototype=a.prototype,new c)}}(),y,E=function(h){function b(a,c,d,e,f){return h.call(this,a,y.extend({i18n:{count:"{shown}"}},c),d,e,f)||this}u(b,h);b.prototype.updateRows=function(){var a=this.s.dtPane.rows({selected:!0}).data().toArray();if(this.s.colOpts.options||
+this.s.customPaneSettings&&this.s.customPaneSettings.options){this._getComparisonRows();for(var c=this.s.dtPane.rows().toArray()[0],d=0;d<c.length;d++){var e=this.s.dtPane.row(c[d]),f=e.data();if(void 0!==f)if(0===f.shown)e.remove(),c=this.s.dtPane.rows().toArray()[0],d--;else for(var g=0,m=a;g<m.length;g++){var t=m[g];if(f.filter===t.filter){e.select();a.splice(d,1);this.s.selections.push(f.filter);break}}}}else{if(!this.s.dt.page.info().serverSide)for(this._activePopulatePane(),this.s.rowData.binsShown=
+{},e=0,t=this.s.dt.rows({search:"applied"}).indexes().toArray();e<t.length;e++)this._updateShown(t[e],this.s.dt.settings()[0],this.s.rowData.binsShown);this.s.dtPane.rows().remove();f=0;for(g=this.s.rowData.arrayFilter;f<g.length;f++)if(c=g[f],0!==c.shown)for(e=this.addRow(c.display,c.filter,c.sort,c.type,void 0),d=0;d<a.length;d++)if(t=a[d],t.filter===c.filter){e.select();a.splice(d,1);this.s.selections.push(c.filter);break}for(d=0;d<a.length;d++)for(t=a[d],f=0,g=this.s.rowData.arrayOriginal;f<g.length;f++)c=
+g[f],c.filter===t.filter&&(e=this.addRow(c.display,c.filter,c.sort,c.type,void 0),e.select(),this.s.selections.push(c.filter))}this.s.dtPane.draw();this.s.dtPane.table().node().parentNode.scrollTop=this.s.scrollTop;this.s.dt.page.info().serverSide||this.s.dt.draw()};b.prototype._activePopulatePane=function(){this.s.rowData.arrayFilter=[];this.s.rowData.bins={};var a=this.s.dt.settings()[0];if(!this.s.dt.page.info().serverSide)for(var c=0,d=this.s.dt.rows({search:"applied"}).indexes().toArray();c<
+d.length;c++)this._populatePaneArray(d[c],this.s.rowData.arrayFilter,a)};b.prototype._getComparisonRows=function(){var a=this.s.colOpts.options?this.s.colOpts.options:this.s.customPaneSettings&&this.s.customPaneSettings.options?this.s.customPaneSettings.options:void 0;if(void 0!==a){var c=this.s.dt.rows(),d=this.s.dt.rows({search:"applied"}),e=c.data().toArray(),f=d.data().toArray(),g=[];this.s.dtPane.clear();this.s.indexes=[];for(var m=0;m<a.length;m++){var t=a[m],w=""!==t.label?t.label:this.emptyMessage(),
+A=t.className,z=w,x="function"===typeof t.value?t.value:[],L=0,O=w,M=0;if("function"===typeof t.value){for(var F=0;F<e.length;F++)t.value.call(this.s.dt,e[F],c[0][F])&&M++;for(F=0;F<f.length;F++)t.value.call(this.s.dt,f[F],d[0][F])&&L++;"function"!==typeof x&&x.push(t.filter)}g.push(this.addRow(z,x,O,w,A,M,L))}return g}};b.prototype._getMessage=function(a){return this.s.dt.i18n("searchPanes.count",this.c.i18n.count).replace(/{total}/g,a.total).replace(/{shown}/g,a.shown)};b.prototype._getShown=function(a){return this.s.rowData.binsShown&&
+this.s.rowData.binsShown[a]?this.s.rowData.binsShown[a]:0};b.prototype._shouldAddRow=function(a){return 0<a.shown};return b}(C),P=window&&window.__extends||function(){var h=function(b,a){h=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(c,d){c.__proto__=d}||function(c,d){for(var e in d)d.hasOwnProperty(e)&&(c[e]=d[e])};return h(b,a)};return function(b,a){function c(){this.constructor=b}h(b,a);b.prototype=null===a?Object.create(a):(c.prototype=a.prototype,new c)}}(),N,J=function(h){function b(a,
+c,d,e,f){return h.call(this,a,N.extend({i18n:{count:"{total}",countFiltered:"{shown} ({total})"}},c),d,e,f)||this}P(b,h);b.prototype._activePopulatePane=function(){this.s.rowData.arrayFilter=[];this.s.rowData.binsShown={};var a=this.s.dt.settings()[0];if(!this.s.dt.page.info().serverSide)for(var c=0,d=this.s.dt.rows({search:"applied"}).indexes().toArray();c<d.length;c++)this._populatePaneArray(d[c],this.s.rowData.arrayFilter,a,this.s.rowData.binsShown)};b.prototype._getMessage=function(a){var c=this.s.dt.i18n("searchPanes.count",
+this.c.i18n.count),d=this.s.dt.i18n("searchPanes.countFiltered",this.c.i18n.countFiltered);return(this.s.filteringActive?d:c).replace(/{total}/g,a.total).replace(/{shown}/g,a.shown)};return b}(E),D,G,I=function(){function h(b,a,c,d){var e=this;void 0===c&&(c=!1);void 0===d&&(d=v);if(!G||!G.versionCheck||!G.versionCheck("1.10.0"))throw Error("SearchPane requires DataTables 1.10 or newer");if(!G.select)throw Error("SearchPane requires Select");var f=new G.Api(b);this.classes=D.extend(!0,{},h.classes);
+this.c=D.extend(!0,{},h.defaults,a);this.dom={clearAll:D('<button type="button"/>').addClass(this.classes.clearAll).html(f.i18n("searchPanes.clearMessage",this.c.i18n.clearMessage)),collapseAll:D('<button type="button"/>').addClass(this.classes.collapseAll).html(f.i18n("searchPanes.collapseMessage",this.c.i18n.collapseMessage)),container:D("<div/>").addClass(this.classes.panes).html(f.i18n("searchPanes.loadMessage",this.c.i18n.loadMessage)),emptyMessage:D("<div/>").addClass(this.classes.emptyMessage),
+panes:D("<div/>").addClass(this.classes.container),showAll:D('<button type="button"/>').addClass(this.classes.showAll).addClass(this.classes.disabledButton).attr("disabled","true").html(f.i18n("searchPanes.showMessage",this.c.i18n.showMessage)),title:D("<div/>").addClass(this.classes.title),titleRow:D("<div/>").addClass(this.classes.titleRow)};this.s={colOpts:[],dt:f,filterCount:0,minPaneWidth:260,page:0,paging:!1,pagingST:!1,paneClass:d,panes:[],selectionList:[],serverData:{},stateRead:!1,updating:!1};
+if(!f.settings()[0]._searchPanes){this._getState();if(this.s.dt.page.info().serverSide){var g=this.s.dt.settings()[0];this.s.dt.on("preXhr.dtsps",function(m,t,w){if(g===t){void 0===w.searchPanes&&(w.searchPanes={});void 0===w.searchPanes_null&&(w.searchPanes_null={});m=0;for(t=e.s.selectionList;m<t.length;m++){var A=t[m];var z=e.s.dt.column(A.column).dataSrc();void 0===w.searchPanes[z]&&(w.searchPanes[z]={});void 0===w.searchPanes_null[z]&&(w.searchPanes_null[z]={});for(var x=0;x<A.rows.length;x++)w.searchPanes[z][x]=
+A.rows[x],null===w.searchPanes[z][x]&&(w.searchPanes_null[z][x]=!0)}0<e.s.selectionList.length&&(w.searchPanesLast=z)}})}this._setXHR();f.settings()[0]._searchPanes=this;if(this.s.dt.settings()[0]._bInitComplete||c)this._paneDeclare(f,b,a);else f.one("preInit.dtsps",function(){e._paneDeclare(f,b,a)});return this}}h.prototype.clearSelections=function(){for(var b=0,a=this.s.panes;b<a.length;b++){var c=a[b];c.s.dtPane&&(c.s.scrollTop=c.s.dtPane.table().node().parentNode.scrollTop)}this.dom.container.find("."+
+this.classes.search.replace(/\s+/g,".")).each(function(){D(this).val("").trigger("input")});this.s.selectionList=[];b=[];a=0;for(var d=this.s.panes;a<d.length;a++)c=d[a],c.s.dtPane&&b.push(c.clearPane());return b};h.prototype.getNode=function(){return this.dom.container};h.prototype.rebuild=function(b,a){void 0===b&&(b=!1);void 0===a&&(a=!1);this.dom.emptyMessage.detach();!1===b&&this.dom.panes.empty();for(var c=[],d=0,e=this.s.panes;d<e.length;d++){var f=e[d];if(!1===b||f.s.index===b)f.clearData(),
+f.rebuildPane(this.s.dt.page.info().serverSide?this.s.serverData:void 0,a),this.dom.panes.append(f.dom.container),c.push(f)}this._updateSelection();this._updateFilterCount();this._attachPaneContainer();this._initSelectionListeners(!1);this.s.dt.draw(!a);this.resizePanes();return 1===c.length?c[0]:c};h.prototype.resizePanes=function(){if("auto"===this.c.layout){var b=D(this.s.dt.searchPanes.container()).width(),a=Math.floor(b/this.s.minPaneWidth),c=1,d=0;b=[];for(var e=0,f=this.s.panes;e<f.length;e++){var g=
+f[e];g.s.displayed&&b.push(g.s.index)}g=b.length;if(a===g)c=a;else for(;1<a;a--)if(e=g%a,0===e){c=a;d=0;break}else e>d&&(c=a,d=e);var m=0!==d?b.slice(b.length-d,b.length):[];this.s.panes.forEach(function(t){t.s.displayed&&t.resize("columns-"+(m.includes(t.s.index)?d:c))})}else for(b=0,a=this.s.panes;b<a.length;b++)g=a[b],g.adjustTopRow();return this};h.prototype._initSelectionListeners=function(b){};h.prototype._serverTotals=function(){};h.prototype._setXHR=function(){var b=this,a=this.s.dt.settings()[0],
+c=function(d){d&&d.searchPanes&&d.searchPanes.options&&(b.s.serverData=d,b.s.serverData.tableLength=d.recordsTotal,b._serverTotals())};this.s.dt.on("xhr.dtsps",function(d,e,f){a===e&&c(f)});c(this.s.dt.ajax.json())};h.prototype._stateLoadListener=function(){var b=this;this.s.dt.on("stateLoadParams.dtsps",function(a,c,d){if(void 0!==d.searchPanes){b.clearSelections();b.s.selectionList=d.searchPanes.selectionList?d.searchPanes.selectionList:[];if(d.searchPanes.panes)for(a=0,d=d.searchPanes.panes;a<
+d.length;a++){c=d[a];for(var e=0,f=b.s.panes;e<f.length;e++){var g=f[e];c.id===g.s.index&&g.s.dtPane&&(g.dom.searchBox.val(c.searchTerm),g.s.dtPane.order(c.order))}}b._makeSelections(b.s.selectionList)}})};h.prototype._updateSelection=function(){this.s.selectionList=[];for(var b=0,a=this.s.panes;b<a.length;b++){var c=a[b];if(c.s.dtPane){var d=c.s.dtPane.rows({selected:!0}).data().toArray().map(function(e){return e.filter});d.length&&this.s.selectionList.push({column:c.s.index,rows:d})}}};h.prototype._attach=
+function(){var b=this;this.dom.titleRow.removeClass(this.classes.hide).detach().append(this.dom.title);if(this.c.clear)this.dom.clearAll.appendTo(this.dom.titleRow).on("click.dtsps",function(){return b.clearSelections()});this.c.collapse&&(this.dom.showAll.appendTo(this.dom.titleRow),this.dom.collapseAll.appendTo(this.dom.titleRow),this._setCollapseListener());for(var a=0,c=this.s.panes;a<c.length;a++)this.dom.panes.append(c[a].dom.container);this.dom.container.text("").removeClass(this.classes.hide).append(this.dom.titleRow).append(this.dom.panes);
+this.s.panes.forEach(function(d){return d.setListeners()});0===D("div."+this.classes.container).length&&this.dom.container.prependTo(this.s.dt)};h.prototype._attachMessage=function(){try{var b=this.s.dt.i18n("searchPanes.emptyPanes",this.c.i18n.emptyPanes)}catch(a){b=null}null===b?(this.dom.container.addClass(this.classes.hide),this.dom.titleRow.removeClass(this.classes.hide)):(this.dom.container.removeClass(this.classes.hide),this.dom.titleRow.addClass(this.classes.hide),this.dom.emptyMessage.html(b).appendTo(this.dom.container))};
+h.prototype._attachPaneContainer=function(){for(var b=0,a=this.s.panes;b<a.length;b++)if(!0===a[b].s.displayed){this._attach();return}this._attachMessage()};h.prototype._checkCollapse=function(){for(var b=!0,a=!0,c=0,d=this.s.panes;c<d.length;c++){var e=d[c];e.s.displayed&&(e.dom.collapseButton.hasClass(e.classes.rotated)?(this.dom.showAll.removeClass(this.classes.disabledButton).removeAttr("disabled"),a=!1):(this.dom.collapseAll.removeClass(this.classes.disabledButton).removeAttr("disabled"),b=!1))}b&&
+this.dom.collapseAll.addClass(this.classes.disabledButton).attr("disabled","true");a&&this.dom.showAll.addClass(this.classes.disabledButton).attr("disabled","true")};h.prototype._checkMessage=function(){for(var b=0,a=this.s.panes;b<a.length;b++)if(!0===a[b].s.displayed){this.dom.emptyMessage.detach();this.dom.titleRow.removeClass(this.classes.hide);return}this._attachMessage()};h.prototype._collapseAll=function(){for(var b=0,a=this.s.panes;b<a.length;b++)a[b].collapse()};h.prototype._findPane=function(b){for(var a=
+0,c=this.s.panes;a<c.length;a++){var d=c[a];if(b===d.s.name)return d}};h.prototype._getState=function(){var b=this.s.dt.state.loaded();b&&b.searchPanes&&b.searchPanes.selectionList&&(this.s.selectionList=b.searchPanes.selectionList)};h.prototype._makeSelections=function(b){for(var a=0;a<b.length;a++){for(var c=b[a],d=void 0,e=0,f=this.s.panes;e<f.length;e++){var g=f[e];if(g.s.index===c.column){d=g;break}}if(d&&d.s.dtPane){for(e=0;e<d.s.dtPane.rows().data().toArray().length;e++)c.rows.includes("function"===
+typeof d.s.dtPane.row(e).data().filter?d.s.dtPane.cell(e,0).data():d.s.dtPane.row(e).data().filter)&&d.s.dtPane.row(e).select();d.updateTable()}}};h.prototype._paneDeclare=function(b,a,c){var d=this;b.columns(0<this.c.columns.length?this.c.columns:void 0).eq(0).each(function(g){d.s.panes.push(new d.s.paneClass(a,c,g,d.dom.panes))});for(var e=b.columns().eq(0).toArray().length,f=0;f<this.c.panes.length;f++)this.s.panes.push(new this.s.paneClass(a,c,e+f,this.dom.panes,this.c.panes[f]));0<this.c.order.length&&
+(this.s.panes=this.c.order.map(function(g){return d._findPane(g)}));this.s.dt.settings()[0]._bInitComplete?this._startup(b):this.s.dt.settings()[0].aoInitComplete.push({fn:function(){return d._startup(b)}})};h.prototype._setCollapseListener=function(){var b=this;this.dom.collapseAll.on("click.dtsps",function(){b._collapseAll();b.dom.collapseAll.addClass(b.classes.disabledButton).attr("disabled","true");b.dom.showAll.removeClass(b.classes.disabledButton).removeAttr("disabled");b.s.dt.state.save()});
+this.dom.showAll.on("click.dtsps",function(){b._showAll();b.dom.showAll.addClass(b.classes.disabledButton).attr("disabled","true");b.dom.collapseAll.removeClass(b.classes.disabledButton).removeAttr("disabled");b.s.dt.state.save()});for(var a=0,c=this.s.panes;a<c.length;a++)c[a].dom.collapseButton.on("click.dtsps",function(){return b._checkCollapse()});this._checkCollapse()};h.prototype._showAll=function(){for(var b=0,a=this.s.panes;b<a.length;b++)a[b].show()};h.prototype._startup=function(b){var a=
+this;this._attach();this.dom.panes.empty();for(var c=0,d=this.s.panes;c<d.length;c++){var e=d[c];e.rebuildPane(0<Object.keys(this.s.serverData).length?this.s.serverData:void 0);this.dom.panes.append(e.dom.container)}"auto"===this.c.layout&&this.resizePanes();c=this.s.dt.state.loaded();!this.s.stateRead&&c&&this.s.dt.page(c.start/this.s.dt.page.len()).draw("page");this.s.stateRead=!0;this._checkMessage();b.on("preDraw.dtsps",function(){a.s.updating||a.s.paging||(a._updateFilterCount(),a._updateSelection());
+a.s.paging=!1});D(window).on("resize.dtsps",G.util.throttle(function(){return a.resizePanes()}));this.s.dt.on("stateSaveParams.dtsps",function(f,g,m){void 0===m.searchPanes&&(m.searchPanes={});m.searchPanes.selectionList=a.s.selectionList});this._stateLoadListener();b.off("page.dtsps page-nc.dtsps").on("page.dtsps page-nc.dtsps",function(f,g){a.s.paging=!0;a.s.pagingST=!0;a.s.page=a.s.dt.page()});if(this.s.dt.page.info().serverSide)b.off("preXhr.dtsps").on("preXhr.dtsps",function(f,g,m){m.searchPanes||
+(m.searchPanes={});m.searchPanes_null||(m.searchPanes_null={});g=f=0;for(var t=a.s.panes;g<t.length;g++){var w=t[g],A=a.s.dt.column(w.s.index).dataSrc();m.searchPanes[A]||(m.searchPanes[A]={});m.searchPanes_null[A]||(m.searchPanes_null[A]={});if(w.s.dtPane){w=w.s.dtPane.rows({selected:!0}).data().toArray();for(var z=0;z<w.length;z++)m.searchPanes[A][z]=w[z].filter,m.searchPanes[A][z]||(m.searchPanes_null[A][z]=!0),f++}}0<f&&(f!==a.s.filterCount?(m.start=0,a.s.page=0):m.start=a.s.page*a.s.dt.page.len(),
+a.s.dt.page(a.s.page),a.s.filterCount=f);0<a.s.selectionList.length&&(m.searchPanesLast=a.s.dt.column(a.s.selectionList[a.s.selectionList.length-1].column).dataSrc())});else b.on("preXhr.dtsps",function(){return a.s.panes.forEach(function(f){return f.clearData()})});this.s.dt.on("xhr.dtsps",function(f,g){if(g.nTable===a.s.dt.table().node()&&!a.s.dt.page.info().serverSide){var m=!1;a.s.dt.one("preDraw.dtsps",function(){if(!m){var t=a.s.dt.page();m=!0;a.s.updating=!0;a.dom.panes.empty();for(var w=0,
+A=a.s.panes;w<A.length;w++){var z=A[w];z.clearData();z.rebuildPane(void 0,!0);a.dom.panes.append(z.dom.container)}a.s.dt.page.info().serverSide||a.s.dt.draw();a.s.updating=!1;a._updateSelection();a._checkMessage();a.s.dt.one("draw.dtsps",function(){a.s.updating=!0;a.s.dt.page(t).draw(!1);a.s.updating=!1})}})}});d=this.c.preSelect;c&&c.searchPanes&&c.searchPanes.selectionList&&(d=c.searchPanes.selectionList);this._makeSelections(d);this._updateFilterCount();b.on("destroy.dtsps",function(){for(var f=
+0,g=a.s.panes;f<g.length;f++)g[f].destroy();b.off(".dtsps");a.dom.showAll.off(".dtsps");a.dom.clearAll.off(".dtsps");a.dom.collapseAll.off(".dtsps");D(b.table().node()).off(".dtsps");a.dom.container.detach();a.clearSelections()});this.c.collapse&&this._setCollapseListener();if(this.c.clear)this.dom.clearAll.on("click.dtsps",function(){return a.clearSelections()});b.settings()[0]._searchPanes=this;this.s.dt.state.save()};h.prototype._updateFilterCount=function(){for(var b=0,a=0,c=this.s.panes;a<c.length;a++){var d=
+c[a];d.s.dtPane&&(b+=d.getPaneCount())}this.dom.title.html(this.s.dt.i18n("searchPanes.title",this.c.i18n.title,b));this.c.filterChanged&&"function"===typeof this.c.filterChanged&&this.c.filterChanged.call(this.s.dt,b);0===b?this.dom.clearAll.addClass(this.classes.disabledButton).attr("disabled","true"):this.dom.clearAll.removeClass(this.classes.disabledButton).removeAttr("disabled")};h.version="2.0.2";h.classes={clear:"dtsp-clear",clearAll:"dtsp-clearAll",collapseAll:"dtsp-collapseAll",container:"dtsp-searchPanes",
+disabledButton:"dtsp-disabledButton",emptyMessage:"dtsp-emptyMessage",hide:"dtsp-hidden",panes:"dtsp-panesContainer",search:"dtsp-search",showAll:"dtsp-showAll",title:"dtsp-title",titleRow:"dtsp-titleRow"};h.defaults={clear:!0,collapse:!0,columns:[],container:function(b){return b.table().container()},filterChanged:void 0,i18n:{clearMessage:"Clear All",clearPane:"&times;",collapse:{0:"SearchPanes",_:"SearchPanes (%d)"},collapseMessage:"Collapse All",count:"{total}",emptyMessage:"<em>No data</em>",
+emptyPanes:"No SearchPanes",loadMessage:"Loading Search Panes...",showMessage:"Show All",title:"Filters Active - %d"},layout:"auto",order:[],panes:[],preSelect:[]};return h}(),Q=window&&window.__extends||function(){var h=function(b,a){h=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(c,d){c.__proto__=d}||function(c,d){for(var e in d)d.hasOwnProperty(e)&&(c[e]=d[e])};return h(b,a)};return function(b,a){function c(){this.constructor=b}h(b,a);b.prototype=null===a?Object.create(a):(c.prototype=
+a.prototype,new c)}}(),K=function(h){function b(a,c,d){void 0===d&&(d=!1);var e=this,f;c.cascadePanes&&c.viewTotal?f=J:c.cascadePanes?f=E:c.viewTotal&&(f=p);e=h.call(this,a,c,d,f)||this;var g=e.s.dt.state.loaded();e.s.dt.off("init.dtsps").on("init.dtsps",function(){return e._initSelectionListeners(!0,g&&g.searchPanes&&g.searchPanes.selectionList?g.searchPanes.selectionList:e.c.preSelect)});return e}Q(b,h);b.prototype._initSelectionListeners=function(a,c){void 0===a&&(a=!0);void 0===c&&(c=[]);a&&(this.s.selectionList=
+c);a=0;for(c=this.s.panes;a<c.length;a++){var d=c[a];if(d.s.displayed)d.s.dtPane.off("select.dtsp").on("select.dtsp",this._update(d)).off("deselect.dtsp").on("deselect.dtsp",this._updateTimeout(d))}this.s.dt.off("draw.dtsps").on("draw.dtsps",this._update());this._updateSelectionList()};b.prototype._serverTotals=function(){for(var a=0,c=this.s.panes;a<c.length;a++){var d=c[a];if(d.s.colOpts.show){var e=this.s.dt.column(d.s.index).dataSrc(),f=!0;if(this.s.serverData.searchPanes.options[e]){var g=0;
+for(e=this.s.serverData.searchPanes.options[e];g<e.length;g++){var m=e[g];if(m.total!==m.count){f=!1;break}}}d.s.filteringActive=!f;d._serverPopulate(this.s.serverData)}}};b.prototype._stateLoadListener=function(){var a=this,c=function(d,e,f){if(void 0!==f.searchPanes){a.s.selectionList=f.searchPanes.selectionList?f.searchPanes.selectionList:[];if(f.searchPanes.panes)for(d=0,f=f.searchPanes.panes;d<f.length;d++){e=f[d];for(var g=0,m=a.s.panes;g<m.length;g++){var t=m[g];e.id===t.s.index&&t.s.dtPane&&
+(t.dom.searchBox.val(e.searchTerm),t.s.dtPane.order(e.order))}}a._updateSelectionList()}};this.s.dt.off("stateLoadParams.dtsps",c).on("stateLoadParams.dtsps",c)};b.prototype._updateSelection=function(){};b.prototype._update=function(a){var c=this;void 0===a&&(a=void 0);return function(){a&&clearTimeout(a.s.deselectTimeout);c._updateSelectionList(a)}};b.prototype._updateTimeout=function(a){var c=this;void 0===a&&(a=void 0);return function(){return a?a.s.deselectTimeout=setTimeout(function(){return c._updateSelectionList(a)},
+50):c._updateSelectionList()}};b.prototype._updateSelectionList=function(a){void 0===a&&(a=void 0);if(this.s.pagingST)this.s.pagingST=!1;else if(!(this.s.updating||a&&a.s.serverSelecting)){if(void 0!==a){this.s.dt.page.info().serverSide&&a._updateSelection();var c=a.s.dtPane.rows({selected:!0}).data().toArray().map(function(d){return d.filter});this.s.selectionList=this.s.selectionList.filter(function(d){return d.column!==a.s.index});0<c.length?(this.s.selectionList.push({column:a.s.index,rows:c}),
+a.dom.clear.removeClass(this.classes.disabledButton).removeAttr("disabled")):a.dom.clear.addClass(this.classes.disabledButton).attr("disabled","true");this.s.dt.page.info().serverSide&&this.s.dt.draw(!1)}this._remakeSelections();this._updateFilterCount()}};b.prototype._remakeSelections=function(){this.s.updating=!0;if(this.s.dt.page.info().serverSide){e=void 0;0<this.s.selectionList.length&&(e=this.s.panes[this.s.selectionList[this.s.selectionList.length-1].column]);for(var a=0,c=this.s.panes;a<c.length;a++)x=
+c[a],!x.s.displayed||e&&x.s.index===e.s.index||x.updateRows()}else{e=this.s.selectionList;a=!1;this.clearSelections();this.s.dt.draw();this.s.dt.rows().toArray()[0].length>this.s.dt.rows({search:"applied"}).toArray()[0].length&&(a=!0);this.s.selectionList=e;c=0;for(var d=this.s.panes;c<d.length;c++){var e=d[c];e.s.displayed&&(e.s.filteringActive=a,e.updateRows())}c=0;for(d=this.s.selectionList;c<d.length;c++){x=d[c];e=void 0;for(var f=0,g=this.s.panes;f<g.length;f++){var m=g[f];if(m.s.index===x.column){e=
+m;break}}if(e.s.dtPane){f=e.s.dtPane.rows().indexes().toArray();for(g=0;g<x.rows.length;g++){m=!1;for(var t=0,w=f;t<w.length;t++){var A=e.s.dtPane.row(w[t]),z=A.data();x.rows[g]===z.filter&&(A.select(),m=!0)}m||(x.rows.splice(g,1),g--)}e.s.selections=x.rows;if(0!==x.rows.length){this.s.dt.draw();t=f=m=g=0;for(w=this.s.panes;t<w.length;t++){var x=w[t];x.s.dtPane&&(g+=x.getPaneCount(),g>m&&(f++,m=g))}g=0<g;m=0;for(t=this.s.panes;m<t.length;m++)x=t[m],x.s.displayed&&(a||e.s.index!==x.s.index||!g?x.s.filteringActive=
+g||a:1===f&&(x.s.filteringActive=!1),x.s.index!==e.s.index&&x.updateRows())}}}this.s.dt.draw()}this.s.updating=!1};return b}(I);(function(h){"function"===typeof define&&define.amd?define(["jquery","datatables.net"],function(b){return h(b,window,document)}):"object"===typeof exports?module.exports=function(b,a){b||(b=window);a&&a.fn.dataTable||(a=require("datatables.net")(b,a).$);return h(a,b,b.document)}:h(window.jQuery,window,document)})(function(h,b,a){function c(e,f,g){void 0===f&&(f=null);void 0===
+g&&(g=!1);e=new d.Api(e);f=f?f:e.init().searchPanes||d.defaults.searchPanes;return(f&&(f.cascadePanes||f.viewTotal)?new K(e,f,g):new I(e,f,g)).getNode()}l(h);n(h);N=y=r=h;var d=h.fn.dataTable;h.fn.dataTable.SearchPanes=I;h.fn.DataTable.SearchPanes=I;h.fn.dataTable.SearchPanesST=K;h.fn.DataTable.SearchPanesST=K;h.fn.dataTable.SearchPane=v;h.fn.DataTable.SearchPane=v;h.fn.dataTable.SearchPaneViewTotal=p;h.fn.DataTable.SearchPaneViewTotal=p;h.fn.dataTable.SearchPaneCascade=E;h.fn.DataTable.SearchPaneCascade=
+E;h.fn.dataTable.SearchPaneCascadeViewTotal=J;h.fn.DataTable.SearchPaneCascadeViewTotal=J;b=h.fn.dataTable.Api.register;b("searchPanes()",function(){return this});b("searchPanes.clearSelections()",function(){return this.iterator("table",function(e){e._searchPanes&&e._searchPanes.clearSelections()})});b("searchPanes.rebuildPane()",function(e,f){return this.iterator("table",function(g){g._searchPanes&&g._searchPanes.rebuild(e,f)})});b("searchPanes.resizePanes()",function(){var e=this.context[0];return e._searchPanes?
+e._searchPanes.resizePanes():null});b("searchPanes.container()",function(){var e=this.context[0];return e._searchPanes?e._searchPanes.getNode():null});h.fn.dataTable.ext.buttons.searchPanesClear={action:function(e,f){f.searchPanes.clearSelections()},text:"Clear Panes"};h.fn.dataTable.ext.buttons.searchPanes={action:function(e,f,g,m){this.popover(m._panes.getNode(),{align:"container",span:"container"});m._panes.rebuild(void 0,!0)},config:{},init:function(e,f,g){var m=h.extend({filterChanged:function(t){e.button(f).text(e.i18n("searchPanes.collapse",
+void 0!==e.context[0].oLanguage.searchPanes?e.context[0].oLanguage.searchPanes.collapse:e.context[0]._searchPanes.c.i18n.collapse,t))}},g.config);m=m&&(m.cascadePanes||m.viewTotal)?new h.fn.dataTable.SearchPanesST(e,m):new h.fn.dataTable.SearchPanes(e,m);e.button(f).text(g.text||e.i18n("searchPanes.collapse",m.c.i18n.collapse,0));g._panes=m},text:null};h(a).on("preInit.dt.dtsp",function(e,f){"dt"===e.namespace&&(f.oInit.searchPanes||d.defaults.searchPanes)&&(f._searchPanes||c(f,null,!0))});d.ext.feature.push({cFeature:"P",
+fnInit:c});d.ext.features&&d.ext.features.register("searchPanes",c)})})();
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/SearchPanes/js/searchPanes.dataTables.min.js
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/SearchPanes/js/searchPanes.dataTables.min.js	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/SearchPanes/js/searchPanes.dataTables.min.js	(revision 3761)
@@ -0,0 +1,5 @@
+/*!
+ Bootstrap integration for DataTables' SearchPanes
+ Â©2016 SpryMedia Ltd - datatables.net/license
+*/
+(function(c){"function"===typeof define&&define.amd?define(["jquery","datatables.net-dt","datatables.net-searchpanes"],function(b){return c(b)}):"object"===typeof exports?module.exports=function(b,a){b||(b=window);a&&a.fn.dataTable||(a=require("datatables.net-dt")(b,a).$);a.fn.dataTable.SearchPanes||require("datatables.net-searchpanes")(b,a);return c(a)}:c(jQuery)})(function(c){return c.fn.dataTable.searchPanes});
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/SearchPanes/js/searchPanes.foundation.min.js
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/SearchPanes/js/searchPanes.foundation.min.js	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/SearchPanes/js/searchPanes.foundation.min.js	(revision 3761)
@@ -0,0 +1,6 @@
+/*!
+ Bootstrap integration for DataTables' SearchPanes
+ Â©2016 SpryMedia Ltd - datatables.net/license
+*/
+(function(b){"function"===typeof define&&define.amd?define(["jquery","datatables.net-zf","datatables.net-searchpanes"],function(a){return b(a)}):"object"===typeof exports?module.exports=function(a,c){a||(a=window);c&&c.fn.dataTable||(c=require("datatables.net-zf")(a,c).$);c.fn.dataTable.SearchPanes||require("datatables.net-searchpanes")(a,c);return b(c)}:b(jQuery)})(function(b){var a=b.fn.dataTable;b.extend(!0,a.SearchPane.classes,{buttonGroup:"secondary button-group",disabledButton:"disabled",narrow:"dtsp-narrow",
+narrowButton:"dtsp-narrowButton",narrowSearch:"dtsp-narrowSearch",paneButton:"secondary button",pill:"badge secondary",search:"search",searchLabelCont:"searchCont",show:"col",table:"unstriped"});b.extend(!0,a.SearchPanes.classes,{clearAll:"dtsp-clearAll button secondary",collapseAll:"dtsp-collapseAll button secondary",disabledButton:"disabled",panes:"panes dtsp-panesContainer",showAll:"dtsp-showAll button secondary",title:"dtsp-title"});return a.searchPanes});
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/SearchPanes/js/searchPanes.bootstrap.min.js
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/SearchPanes/js/searchPanes.bootstrap.min.js	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/SearchPanes/js/searchPanes.bootstrap.min.js	(revision 3761)
@@ -0,0 +1,3 @@
+(function(b){"function"===typeof define&&define.amd?define(["jquery","datatables.net-bs","datatables.net-searchpanes"],function(a){return b(a)}):"object"===typeof exports?module.exports=function(a,c){a||(a=window);c&&c.fn.dataTable||(c=require("datatables.net-bs")(a,c).$);c.fn.dataTable.SearchPanes||require("datatables.net-searchpanes")(a,c);return b(c)}:b(jQuery)})(function(b){var a=b.fn.dataTable;b.extend(!0,a.SearchPane.classes,{buttonGroup:"btn-group",disabledButton:"disabled",narrow:"col narrow",
+narrowSub:"row",pane:{container:"table"},paneButton:"btn btn-light",pill:"badge badge-pill badge-light pill",search:"col-sm form-control search",searchCont:"input-group dtsp-searchCont",searchLabelCont:"input-group-btn",subRow1:"dtsp-subRow1 text-right",subRow2:"dtsp-subRow2 text-right",table:"table table-condensed"});b.extend(!0,a.SearchPanes.classes,{clearAll:"dtsp-clearAll btn btn-light",collapseAll:"dtsp-collapseAll btn btn-light",disabledButton:"disabled",showAll:"dtsp-showAll btn btn-light"});
+return a.searchPanes});
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/SearchPanes/js/searchPanes.jqueryui.min.js
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/SearchPanes/js/searchPanes.jqueryui.min.js	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/SearchPanes/js/searchPanes.jqueryui.min.js	(revision 3761)
@@ -0,0 +1,6 @@
+/*!
+ Bootstrap integration for DataTables' SearchPanes
+ Â©2016 SpryMedia Ltd - datatables.net/license
+*/
+(function(b){"function"===typeof define&&define.amd?define(["jquery","datatables.net-ju","datatables.net-searchpanes"],function(a){return b(a)}):"object"===typeof exports?module.exports=function(a,c){a||(a=window);c&&c.fn.dataTable||(c=require("datatables.net-ju")(a,c).$);c.fn.dataTable.SearchPanes||require("datatables.net-searchpanes")(a,c);return b(c)}:b(jQuery)})(function(b){var a=b.fn.dataTable;b.extend(!0,a.SearchPane.classes,{disabledButton:"dtsp-paneInputButton dtsp-disabledButton",paneButton:"dtsp-paneButton ui-button",
+topRow:"dtsp-topRow ui-state-default"});b.extend(!0,a.SearchPanes.classes,{clearAll:"dtsp-clearAll ui-button",collapseAll:"dtsp-collapseAll ui-button",container:"dtsp-searchPanes",panes:"dtsp-panesContainer fg-toolbar ui-toolbar ui-widget-header",showAll:"dtsp-showAll ui-button"});return a.searchPanes});
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/SearchPanes/js/searchPanes.bulma.min.js
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/SearchPanes/js/searchPanes.bulma.min.js	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/SearchPanes/js/searchPanes.bulma.min.js	(revision 3761)
@@ -0,0 +1,6 @@
+/*!
+ Bulma integration for DataTables' SearchPanes
+ Â©2016 SpryMedia Ltd - datatables.net/license
+*/
+(function(b){"function"===typeof define&&define.amd?define(["jquery","datatables.net-bulma","datatables.net-searchpanes"],function(a){return b(a)}):"object"===typeof exports?module.exports=function(a,c){a||(a=window);c&&c.fn.dataTable||(c=require("datatables.net-bulma")(a,c).$);c.fn.dataTable.SearchPanes||require("datatables.net-searchpanes")(a,c);return b(c)}:b(jQuery)})(function(b){var a=b.fn.dataTable;b.extend(!0,a.SearchPane.classes,{disabledButton:"is-disabled",paneButton:"button dtsp-paneButton is-white",
+search:"input search"});b.extend(!0,a.SearchPanes.classes,{clearAll:"dtsp-clearAll button",collapseAll:"dtsp-collapseAll button",disabledButton:"is-disabled",showAll:"dtsp-showAll button"});return a.searchPanes});
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/SearchPanes/js/searchPanes.bootstrap4.min.js
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/SearchPanes/js/searchPanes.bootstrap4.min.js	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/SearchPanes/js/searchPanes.bootstrap4.min.js	(revision 3761)
@@ -0,0 +1,7 @@
+/*!
+ Bootstrap integration for DataTables' SearchPanes
+ Â©2016 SpryMedia Ltd - datatables.net/license
+*/
+(function(b){"function"===typeof define&&define.amd?define(["jquery","datatables.net-bs4","datatables.net-searchpanes"],function(a){return b(a)}):"object"===typeof exports?module.exports=function(a,c){a||(a=window);c&&c.fn.dataTable||(c=require("datatables.net-bs4")(a,c).$);c.fn.dataTable.SearchPanes||require("datatables.net-searchpanes")(a,c);return b(c)}:b(jQuery)})(function(b){var a=b.fn.dataTable;b.extend(!0,a.SearchPane.classes,{buttonGroup:"btn-group",disabledButton:"disabled",narrow:"col",
+pane:{container:"table"},paneButton:"btn btn-light",pill:"pill badge badge-pill badge-secondary",search:"form-control search",searchCont:"input-group",searchLabelCont:"input-group-append",subRow1:"dtsp-subRow1",subRow2:"dtsp-subRow2",table:"table table-sm table-borderless",topRow:"dtsp-topRow"});b.extend(!0,a.SearchPanes.classes,{clearAll:"dtsp-clearAll btn btn-light",collapseAll:"dtsp-collapseAll btn btn-light",container:"dtsp-searchPanes",disabledButton:"disabled",panes:"dtsp-panes dtsp-panesContainer",
+showAll:"dtsp-showAll btn btn-light",title:"dtsp-title",titleRow:"dtsp-titleRow"});return a.searchPanes});
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/SearchPanes/js/searchPanes.semanticui.min.js
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/SearchPanes/js/searchPanes.semanticui.min.js	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/SearchPanes/js/searchPanes.semanticui.min.js	(revision 3761)
@@ -0,0 +1,6 @@
+/*!
+ semantic ui integration for DataTables' SearchPanes
+ Â©2016 SpryMedia Ltd - datatables.net/license
+*/
+(function(b){"function"===typeof define&&define.amd?define(["jquery","datatables.net-se","datatables.net-searchpanes"],function(a){return b(a)}):"object"===typeof exports?module.exports=function(a,c){a||(a=window);c&&c.fn.dataTable||(c=require("datatables.net-se")(a,c).$);c.fn.dataTable.SearchPanes||require("datatables.net-searchpanes")(a,c);return b(c)}:b(jQuery)})(function(b){var a=b.fn.dataTable;b.extend(!0,a.SearchPane.classes,{buttonGroup:"right floated ui buttons column",disabledButton:"disabled",
+narrowSearch:"dtsp-narrowSearch",narrowSub:"dtsp-narrow",paneButton:"basic ui",paneInputButton:"circular search link icon",topRow:"row dtsp-topRow"});b.extend(!0,a.SearchPanes.classes,{clearAll:"dtsp-clearAll basic ui button",collapseAll:"dtsp-collapseAll basic ui button",disabledButton:"disabled",showAll:"dtsp-showAll basic ui button"});a.SearchPane.prototype._searchContSetup=function(){b('<i class="'+this.classes.paneInputButton+'"></i>').appendTo(this.dom.searchCont)};return a.searchPanes});
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/Responsive/js/responsive.foundation.min.js
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/Responsive/js/responsive.foundation.min.js	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/Responsive/js/responsive.foundation.min.js	(revision 3761)
@@ -0,0 +1,7 @@
+/*!
+ Foundation integration for DataTables' Responsive
+ Â©2015 SpryMedia Ltd - datatables.net/license
+*/
+(function(a){"function"===typeof define&&define.amd?define(["jquery","datatables.net-zf","datatables.net-responsive"],function(b){return a(b,window,document)}):"object"===typeof exports?module.exports=function(b,c){b||(b=window);c&&c.fn.dataTable||(c=require("datatables.net-zf")(b,c).$);c.fn.dataTable.Responsive||require("datatables.net-responsive")(b,c);return a(c,b,b.document)}:a(jQuery,window,document)})(function(a,b,c,k){b=a.fn.dataTable;c=b.Responsive.display;var h=c.modal;c.modal=function(e){return function(f,
+d,g){a.fn.foundation?d||(d=a('<div class="reveal-overlay" style="display:block"/>'),a('<div class="reveal reveal-modal" style="display:block; top: 150px;" data-reveal/>').append('<button class="close-button" aria-label="Close">&#215;</button>').append(e&&e.header?"<h4>"+e.header(f)+"</h4>":null).append(g()).appendTo(d),d.appendTo("body"),a("button.close-button").on("click",function(){a(".reveal-overlay").remove()}),a(".reveal-overlay").on("click",function(){a(".reveal-overlay").remove()})):h(f,d,
+g)}};return b.Responsive});
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/Responsive/js/responsive.bootstrap.min.js
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/Responsive/js/responsive.bootstrap.min.js	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/Responsive/js/responsive.bootstrap.min.js	(revision 3761)
@@ -0,0 +1,12 @@
+/*!
+ Bootstrap integration for DataTables' Responsive
+ Â©2015-2016 SpryMedia Ltd - datatables.net/license
+*/
+var $jscomp=$jscomp||{};$jscomp.scope={};$jscomp.findInternal=function(a,b,c){a instanceof String&&(a=String(a));for(var e=a.length,d=0;d<e;d++){var f=a[d];if(b.call(c,f,d,a))return{i:d,v:f}}return{i:-1,v:void 0}};$jscomp.ASSUME_ES5=!1;$jscomp.ASSUME_NO_NATIVE_MAP=!1;$jscomp.ASSUME_NO_NATIVE_SET=!1;$jscomp.SIMPLE_FROUND_POLYFILL=!1;$jscomp.ISOLATE_POLYFILLS=!1;
+$jscomp.defineProperty=$jscomp.ASSUME_ES5||"function"==typeof Object.defineProperties?Object.defineProperty:function(a,b,c){if(a==Array.prototype||a==Object.prototype)return a;a[b]=c.value;return a};$jscomp.getGlobal=function(a){a=["object"==typeof globalThis&&globalThis,a,"object"==typeof window&&window,"object"==typeof self&&self,"object"==typeof global&&global];for(var b=0;b<a.length;++b){var c=a[b];if(c&&c.Math==Math)return c}throw Error("Cannot find global object");};$jscomp.global=$jscomp.getGlobal(this);
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Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/Responsive/js/responsive.jqueryui.min.js
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Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/Responsive/js/responsive.bootstrap4.min.js
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Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/Responsive/js/responsive.semanticui.min.js
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Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/Responsive/js/responsive.bootstrap5.min.js
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Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/Responsive/js/dataTables.responsive.min.js
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@@ -0,0 +1,48 @@
+/*!
+   SpryMedia Ltd.
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+ This source file is free software, available under the following license:
+   MIT license - http://datatables.net/license/mit
+
+ This source file is distributed in the hope that it will be useful, but
+ WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY
+ or FITNESS FOR A PARTICULAR PURPOSE. See the license files for details.
+
+ For details please refer to: http://www.datatables.net
+ Responsive 2.3.0
+ 2014-2022 SpryMedia Ltd - datatables.net/license
+*/
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+h.title+"</span> </li>").append(b('<span class="dtr-data"/>').append(p(a,h.rowIndex,h.columnIndex))).appendTo(g),f=!0)});return f?g:!1}},listHidden:function(){return function(a,c,d){return(a=b.map(d,function(g){var f=g.className?'class="'+g.className+'"':"";return g.hidden?"<li "+f+' data-dtr-index="'+g.columnIndex+'" data-dt-row="'+g.rowIndex+'" data-dt-column="'+g.columnIndex+'"><span class="dtr-title">'+g.title+'</span> <span class="dtr-data">'+g.data+"</span></li>":""}).join(""))?b('<ul data-dtr-index="'+
+c+'" class="dtr-details"/>').append(a):!1}},tableAll:function(a){a=b.extend({tableClass:""},a);return function(c,d,g){c=b.map(g,function(f){return"<tr "+(f.className?'class="'+f.className+'"':"")+' data-dt-row="'+f.rowIndex+'" data-dt-column="'+f.columnIndex+'"><td>'+f.title+":</td> <td>"+f.data+"</td></tr>"}).join("");return b('<table class="'+a.tableClass+' dtr-details" width="100%"/>').append(c)}}};u.defaults={breakpoints:u.breakpoints,auto:!0,details:{display:u.display.childRow,renderer:u.renderer.listHidden(),
+target:0,type:"inline"},orthogonal:"display"};var C=b.fn.dataTable.Api;C.register("responsive()",function(){return this});C.register("responsive.index()",function(a){a=b(a);return{column:a.data("dtr-index"),row:a.parent().data("dtr-index")}});C.register("responsive.rebuild()",function(){return this.iterator("table",function(a){a._responsive&&a._responsive._classLogic()})});C.register("responsive.recalc()",function(){return this.iterator("table",function(a){a._responsive&&(a._responsive._resizeAuto(),
+a._responsive._resize())})});C.register("responsive.hasHidden()",function(){var a=this.context[0];return a._responsive?-1!==b.inArray(!1,a._responsive._responsiveOnlyHidden()):!1});C.registerPlural("columns().responsiveHidden()","column().responsiveHidden()",function(){return this.iterator("column",function(a,c){return a._responsive?a._responsive._responsiveOnlyHidden()[c]:!1},1)});u.version="2.3.0";b.fn.dataTable.Responsive=u;b.fn.DataTable.Responsive=u;b(m).on("preInit.dt.dtr",function(a,c,d){"dt"===
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Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/Responsive/js/responsive.dataTables.min.js
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/Responsive/js/responsive.dataTables.min.js	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/Responsive/js/responsive.dataTables.min.js	(revision 3761)
@@ -0,0 +1,5 @@
+/*!
+ DataTables styling wrapper for Responsive
+ Â©2018 SpryMedia Ltd - datatables.net/license
+*/
+(function(c){"function"===typeof define&&define.amd?define(["jquery","datatables.net-dt","datatables.net-responsive"],function(a){return c(a,window,document)}):"object"===typeof exports?module.exports=function(a,b){a||(a=window);b&&b.fn.dataTable||(b=require("datatables.net-dt")(a,b).$);b.fn.dataTable.Responsive||require("datatables.net-responsive")(a,b);return c(b,a,a.document)}:c(jQuery,window,document)})(function(c,a,b,d){return c.fn.dataTable});
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/Responsive/css/responsive.bootstrap.min.css
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/Responsive/css/responsive.bootstrap.min.css	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/Responsive/css/responsive.bootstrap.min.css	(revision 3761)
@@ -0,0 +1 @@
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Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/Responsive/css/responsive.jqueryui.min.css
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/Responsive/css/responsive.jqueryui.min.css	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/Responsive/css/responsive.jqueryui.min.css	(revision 3761)
@@ -0,0 +1 @@
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Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/Responsive/css/responsive.bulma.min.css
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/Responsive/css/responsive.bulma.min.css	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/Responsive/css/responsive.bulma.min.css	(revision 3761)
@@ -0,0 +1 @@
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Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/Responsive/css/responsive.bootstrap4.min.css
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/Responsive/css/responsive.bootstrap4.min.css	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/Responsive/css/responsive.bootstrap4.min.css	(revision 3761)
@@ -0,0 +1 @@
+table.dataTable.dtr-inline.collapsed>tbody>tr>td.child,table.dataTable.dtr-inline.collapsed>tbody>tr>th.child,table.dataTable.dtr-inline.collapsed>tbody>tr>td.dataTables_empty{cursor:default !important}table.dataTable.dtr-inline.collapsed>tbody>tr>td.child:before,table.dataTable.dtr-inline.collapsed>tbody>tr>th.child:before,table.dataTable.dtr-inline.collapsed>tbody>tr>td.dataTables_empty:before{display:none !important}table.dataTable.dtr-inline.collapsed>tbody>tr>td.dtr-control,table.dataTable.dtr-inline.collapsed>tbody>tr>th.dtr-control{position:relative;padding-left:30px;cursor:pointer}table.dataTable.dtr-inline.collapsed>tbody>tr>td.dtr-control:before,table.dataTable.dtr-inline.collapsed>tbody>tr>th.dtr-control:before{top:50%;left:5px;height:1em;width:1em;margin-top:-9px;display:block;position:absolute;color:white;border:.15em solid white;border-radius:1em;box-shadow:0 0 .2em #444;box-sizing:content-box;text-align:center;text-indent:0 !important;font-family:"Courier New",Courier,monospace;line-height:1em;content:"+";background-color:#0275d8}table.dataTable.dtr-inline.collapsed>tbody>tr.parent>td.dtr-control:before,table.dataTable.dtr-inline.collapsed>tbody>tr.parent>th.dtr-control:before{content:"-";background-color:#d33333}table.dataTable.dtr-inline.collapsed.compact>tbody>tr>td.dtr-control,table.dataTable.dtr-inline.collapsed.compact>tbody>tr>th.dtr-control{padding-left:27px}table.dataTable.dtr-inline.collapsed.compact>tbody>tr>td.dtr-control:before,table.dataTable.dtr-inline.collapsed.compact>tbody>tr>th.dtr-control:before{left:4px;height:14px;width:14px;border-radius:14px;line-height:14px;text-indent:3px}table.dataTable.dtr-column>tbody>tr>td.dtr-control,table.dataTable.dtr-column>tbody>tr>th.dtr-control,table.dataTable.dtr-column>tbody>tr>td.control,table.dataTable.dtr-column>tbody>tr>th.control{position:relative;cursor:pointer}table.dataTable.dtr-column>tbody>tr>td.dtr-control:before,table.dataTable.dtr-column>tbody>tr>th.dtr-control:before,table.dataTable.dtr-column>tbody>tr>td.control:before,table.dataTable.dtr-column>tbody>tr>th.control:before{top:50%;left:50%;height:.8em;width:.8em;margin-top:-0.5em;margin-left:-0.5em;display:block;position:absolute;color:white;border:.15em solid white;border-radius:1em;box-shadow:0 0 .2em #444;box-sizing:content-box;text-align:center;text-indent:0 !important;font-family:"Courier New",Courier,monospace;line-height:1em;content:"+";background-color:#0275d8}table.dataTable.dtr-column>tbody>tr.parent td.dtr-control:before,table.dataTable.dtr-column>tbody>tr.parent th.dtr-control:before,table.dataTable.dtr-column>tbody>tr.parent td.control:before,table.dataTable.dtr-column>tbody>tr.parent th.control:before{content:"-";background-color:#d33333}table.dataTable>tbody>tr.child{padding:.5em 1em}table.dataTable>tbody>tr.child:hover{background:transparent !important}table.dataTable>tbody>tr.child ul.dtr-details{display:inline-block;list-style-type:none;margin:0;padding:0}table.dataTable>tbody>tr.child ul.dtr-details>li{border-bottom:1px solid #efefef;padding:.5em 0}table.dataTable>tbody>tr.child ul.dtr-details>li:first-child{padding-top:0}table.dataTable>tbody>tr.child ul.dtr-details>li:last-child{border-bottom:none}table.dataTable>tbody>tr.child span.dtr-title{display:inline-block;min-width:75px;font-weight:bold}div.dtr-modal{position:fixed;box-sizing:border-box;top:0;left:0;height:100%;width:100%;z-index:100;padding:10em 1em}div.dtr-modal div.dtr-modal-display{position:absolute;top:0;left:0;bottom:0;right:0;width:50%;height:50%;overflow:auto;margin:auto;z-index:102;overflow:auto;background-color:#f5f5f7;border:1px solid black;border-radius:.5em;box-shadow:0 12px 30px rgba(0, 0, 0, 0.6)}div.dtr-modal div.dtr-modal-content{position:relative;padding:1em}div.dtr-modal div.dtr-modal-close{position:absolute;top:6px;right:6px;width:22px;height:22px;border:1px solid #eaeaea;background-color:#f9f9f9;text-align:center;border-radius:3px;cursor:pointer;z-index:12}div.dtr-modal div.dtr-modal-close:hover{background-color:#eaeaea}div.dtr-modal div.dtr-modal-background{position:fixed;top:0;left:0;right:0;bottom:0;z-index:101;background:rgba(0, 0, 0, 0.6)}@media screen and (max-width: 767px){div.dtr-modal div.dtr-modal-display{width:95%}}div.dtr-bs-modal table.table tr:first-child td{border-top:none}
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/Responsive/css/responsive.semanticui.min.css
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/Responsive/css/responsive.semanticui.min.css	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/Responsive/css/responsive.semanticui.min.css	(revision 3761)
@@ -0,0 +1 @@
+table.dataTable.dtr-inline.collapsed>tbody>tr>td.child,table.dataTable.dtr-inline.collapsed>tbody>tr>th.child,table.dataTable.dtr-inline.collapsed>tbody>tr>td.dataTables_empty{cursor:default !important}table.dataTable.dtr-inline.collapsed>tbody>tr>td.child:before,table.dataTable.dtr-inline.collapsed>tbody>tr>th.child:before,table.dataTable.dtr-inline.collapsed>tbody>tr>td.dataTables_empty:before{display:none !important}table.dataTable.dtr-inline.collapsed>tbody>tr>td.dtr-control,table.dataTable.dtr-inline.collapsed>tbody>tr>th.dtr-control{position:relative;padding-left:30px;cursor:pointer}table.dataTable.dtr-inline.collapsed>tbody>tr>td.dtr-control:before,table.dataTable.dtr-inline.collapsed>tbody>tr>th.dtr-control:before{top:50%;left:5px;height:14px;width:14px;margin-top:-9px;display:block;position:absolute;color:white;border:.15em solid white;border-radius:1em;box-shadow:0 0 .2em #444;box-sizing:content-box;text-align:center;text-indent:0 !important;font-family:"Courier New",Courier,monospace;line-height:1em;content:"+";background-color:#21ba45}table.dataTable.dtr-inline.collapsed>tbody>tr.parent>td.dtr-control:before,table.dataTable.dtr-inline.collapsed>tbody>tr.parent>th.dtr-control:before{content:"-";background-color:#d33333}table.dataTable.dtr-inline.collapsed.compact>tbody>tr>td.dtr-control,table.dataTable.dtr-inline.collapsed.compact>tbody>tr>th.dtr-control{padding-left:27px}table.dataTable.dtr-inline.collapsed.compact>tbody>tr>td.dtr-control:before,table.dataTable.dtr-inline.collapsed.compact>tbody>tr>th.dtr-control:before{left:4px;height:14px;width:14px;border-radius:14px;line-height:14px;text-indent:3px}table.dataTable.dtr-column>tbody>tr>td.dtr-control,table.dataTable.dtr-column>tbody>tr>th.dtr-control,table.dataTable.dtr-column>tbody>tr>td.control,table.dataTable.dtr-column>tbody>tr>th.control{position:relative;cursor:pointer}table.dataTable.dtr-column>tbody>tr>td.dtr-control:before,table.dataTable.dtr-column>tbody>tr>th.dtr-control:before,table.dataTable.dtr-column>tbody>tr>td.control:before,table.dataTable.dtr-column>tbody>tr>th.control:before{top:50%;left:50%;height:.8em;width:.8em;margin-top:-0.5em;margin-left:-0.5em;display:block;position:absolute;color:white;border:.15em solid white;border-radius:1em;box-shadow:0 0 .2em #444;box-sizing:content-box;text-align:center;text-indent:0 !important;font-family:"Courier New",Courier,monospace;line-height:1em;content:"+";background-color:#21ba45}table.dataTable.dtr-column>tbody>tr.parent td.dtr-control:before,table.dataTable.dtr-column>tbody>tr.parent th.dtr-control:before,table.dataTable.dtr-column>tbody>tr.parent td.control:before,table.dataTable.dtr-column>tbody>tr.parent th.control:before{content:"-";background-color:#d33333}table.dataTable>tbody>tr.child{padding:.5em 1em}table.dataTable>tbody>tr.child:hover{background:transparent !important}table.dataTable>tbody>tr.child ul.dtr-details{display:inline-block;list-style-type:none;margin:0;padding:0}table.dataTable>tbody>tr.child ul.dtr-details>li{border-bottom:1px solid #efefef;padding:.5em 0}table.dataTable>tbody>tr.child ul.dtr-details>li:first-child{padding-top:0}table.dataTable>tbody>tr.child ul.dtr-details>li:last-child{border-bottom:none}table.dataTable>tbody>tr.child span.dtr-title{display:inline-block;min-width:75px;font-weight:bold}div.dtr-modal{position:fixed;box-sizing:border-box;top:0;left:0;height:100%;width:100%;z-index:100;padding:10em 1em}div.dtr-modal div.dtr-modal-display{position:absolute;top:0;left:0;bottom:0;right:0;width:50%;height:50%;overflow:auto;margin:auto;z-index:102;overflow:auto;background-color:#f5f5f7;border:1px solid black;border-radius:.5em;box-shadow:0 12px 30px rgba(0, 0, 0, 0.6)}div.dtr-modal div.dtr-modal-content{position:relative;padding:1em}div.dtr-modal div.dtr-modal-close{position:absolute;top:6px;right:6px;width:22px;height:22px;border:1px solid #eaeaea;background-color:#f9f9f9;text-align:center;border-radius:3px;cursor:pointer;z-index:12}div.dtr-modal div.dtr-modal-close:hover{background-color:#eaeaea}div.dtr-modal div.dtr-modal-background{position:fixed;top:0;left:0;right:0;bottom:0;z-index:101;background:rgba(0, 0, 0, 0.6)}@media screen and (max-width: 767px){div.dtr-modal div.dtr-modal-display{width:95%}}div.dtr-bs-modal table.table tr:first-child td{border-top:none}
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/Responsive/css/responsive.bootstrap5.min.css
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/Responsive/css/responsive.bootstrap5.min.css	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/Responsive/css/responsive.bootstrap5.min.css	(revision 3761)
@@ -0,0 +1 @@
+table.dataTable.dtr-inline.collapsed>tbody>tr>td.child,table.dataTable.dtr-inline.collapsed>tbody>tr>th.child,table.dataTable.dtr-inline.collapsed>tbody>tr>td.dataTables_empty{cursor:default !important}table.dataTable.dtr-inline.collapsed>tbody>tr>td.child:before,table.dataTable.dtr-inline.collapsed>tbody>tr>th.child:before,table.dataTable.dtr-inline.collapsed>tbody>tr>td.dataTables_empty:before{display:none !important}table.dataTable.dtr-inline.collapsed>tbody>tr>td.dtr-control,table.dataTable.dtr-inline.collapsed>tbody>tr>th.dtr-control{position:relative;padding-left:30px;cursor:pointer}table.dataTable.dtr-inline.collapsed>tbody>tr>td.dtr-control:before,table.dataTable.dtr-inline.collapsed>tbody>tr>th.dtr-control:before{top:50%;left:5px;height:1em;width:1em;margin-top:-9px;display:block;position:absolute;color:white;border:.15em solid white;border-radius:1em;box-shadow:0 0 .2em #444;box-sizing:content-box;text-align:center;text-indent:0 !important;font-family:"Courier New",Courier,monospace;line-height:1em;content:"+";background-color:#0d6efd}table.dataTable.dtr-inline.collapsed>tbody>tr.parent>td.dtr-control:before,table.dataTable.dtr-inline.collapsed>tbody>tr.parent>th.dtr-control:before{content:"-";background-color:#d33333}table.dataTable.dtr-inline.collapsed.compact>tbody>tr>td.dtr-control,table.dataTable.dtr-inline.collapsed.compact>tbody>tr>th.dtr-control{padding-left:27px}table.dataTable.dtr-inline.collapsed.compact>tbody>tr>td.dtr-control:before,table.dataTable.dtr-inline.collapsed.compact>tbody>tr>th.dtr-control:before{left:4px;height:14px;width:14px;border-radius:14px;line-height:14px;text-indent:3px}table.dataTable.dtr-column>tbody>tr>td.dtr-control,table.dataTable.dtr-column>tbody>tr>th.dtr-control,table.dataTable.dtr-column>tbody>tr>td.control,table.dataTable.dtr-column>tbody>tr>th.control{position:relative;cursor:pointer}table.dataTable.dtr-column>tbody>tr>td.dtr-control:before,table.dataTable.dtr-column>tbody>tr>th.dtr-control:before,table.dataTable.dtr-column>tbody>tr>td.control:before,table.dataTable.dtr-column>tbody>tr>th.control:before{top:50%;left:50%;height:.8em;width:.8em;margin-top:-0.5em;margin-left:-0.5em;display:block;position:absolute;color:white;border:.15em solid white;border-radius:1em;box-shadow:0 0 .2em #444;box-sizing:content-box;text-align:center;text-indent:0 !important;font-family:"Courier New",Courier,monospace;line-height:1em;content:"+";background-color:#0d6efd}table.dataTable.dtr-column>tbody>tr.parent td.dtr-control:before,table.dataTable.dtr-column>tbody>tr.parent th.dtr-control:before,table.dataTable.dtr-column>tbody>tr.parent td.control:before,table.dataTable.dtr-column>tbody>tr.parent th.control:before{content:"-";background-color:#d33333}table.dataTable>tbody>tr.child{padding:.5em 1em}table.dataTable>tbody>tr.child:hover{background:transparent !important}table.dataTable>tbody>tr.child ul.dtr-details{display:inline-block;list-style-type:none;margin:0;padding:0}table.dataTable>tbody>tr.child ul.dtr-details>li{border-bottom:1px solid #efefef;padding:.5em 0}table.dataTable>tbody>tr.child ul.dtr-details>li:first-child{padding-top:0}table.dataTable>tbody>tr.child ul.dtr-details>li:last-child{border-bottom:none}table.dataTable>tbody>tr.child span.dtr-title{display:inline-block;min-width:75px;font-weight:bold}div.dtr-modal{position:fixed;box-sizing:border-box;top:0;left:0;height:100%;width:100%;z-index:100;padding:10em 1em}div.dtr-modal div.dtr-modal-display{position:absolute;top:0;left:0;bottom:0;right:0;width:50%;height:50%;overflow:auto;margin:auto;z-index:102;overflow:auto;background-color:#f5f5f7;border:1px solid black;border-radius:.5em;box-shadow:0 12px 30px rgba(0, 0, 0, 0.6)}div.dtr-modal div.dtr-modal-content{position:relative;padding:1em}div.dtr-modal div.dtr-modal-close{position:absolute;top:6px;right:6px;width:22px;height:22px;border:1px solid #eaeaea;background-color:#f9f9f9;text-align:center;border-radius:3px;cursor:pointer;z-index:12}div.dtr-modal div.dtr-modal-close:hover{background-color:#eaeaea}div.dtr-modal div.dtr-modal-background{position:fixed;top:0;left:0;right:0;bottom:0;z-index:101;background:rgba(0, 0, 0, 0.6)}@media screen and (max-width: 767px){div.dtr-modal div.dtr-modal-display{width:95%}}div.dtr-bs-modal table.table tr:first-child td{border-top:none}table.dataTable.table-bordered th.dtr-control.dtr-hidden+*,table.dataTable.table-bordered td.dtr-control.dtr-hidden+*{border-left-width:1px}
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/Responsive/css/responsive.dataTables.min.css
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/Responsive/css/responsive.dataTables.min.css	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/Responsive/css/responsive.dataTables.min.css	(revision 3761)
@@ -0,0 +1 @@
+table.dataTable.dtr-inline.collapsed>tbody>tr>td.child,table.dataTable.dtr-inline.collapsed>tbody>tr>th.child,table.dataTable.dtr-inline.collapsed>tbody>tr>td.dataTables_empty{cursor:default !important}table.dataTable.dtr-inline.collapsed>tbody>tr>td.child:before,table.dataTable.dtr-inline.collapsed>tbody>tr>th.child:before,table.dataTable.dtr-inline.collapsed>tbody>tr>td.dataTables_empty:before{display:none !important}table.dataTable.dtr-inline.collapsed>tbody>tr>td.dtr-control,table.dataTable.dtr-inline.collapsed>tbody>tr>th.dtr-control{position:relative;padding-left:30px;cursor:pointer}table.dataTable.dtr-inline.collapsed>tbody>tr>td.dtr-control:before,table.dataTable.dtr-inline.collapsed>tbody>tr>th.dtr-control:before{top:50%;left:5px;height:1em;width:1em;margin-top:-9px;display:block;position:absolute;color:white;border:.15em solid white;border-radius:1em;box-shadow:0 0 .2em #444;box-sizing:content-box;text-align:center;text-indent:0 !important;font-family:"Courier New",Courier,monospace;line-height:1em;content:"+";background-color:#31b131}table.dataTable.dtr-inline.collapsed>tbody>tr.parent>td.dtr-control:before,table.dataTable.dtr-inline.collapsed>tbody>tr.parent>th.dtr-control:before{content:"-";background-color:#d33333}table.dataTable.dtr-inline.collapsed.compact>tbody>tr>td.dtr-control,table.dataTable.dtr-inline.collapsed.compact>tbody>tr>th.dtr-control{padding-left:27px}table.dataTable.dtr-inline.collapsed.compact>tbody>tr>td.dtr-control:before,table.dataTable.dtr-inline.collapsed.compact>tbody>tr>th.dtr-control:before{left:4px;height:14px;width:14px;border-radius:14px;line-height:14px;text-indent:3px}table.dataTable.dtr-column>tbody>tr>td.dtr-control,table.dataTable.dtr-column>tbody>tr>th.dtr-control,table.dataTable.dtr-column>tbody>tr>td.control,table.dataTable.dtr-column>tbody>tr>th.control{position:relative;cursor:pointer}table.dataTable.dtr-column>tbody>tr>td.dtr-control:before,table.dataTable.dtr-column>tbody>tr>th.dtr-control:before,table.dataTable.dtr-column>tbody>tr>td.control:before,table.dataTable.dtr-column>tbody>tr>th.control:before{top:50%;left:50%;height:.8em;width:.8em;margin-top:-0.5em;margin-left:-0.5em;display:block;position:absolute;color:white;border:.15em solid white;border-radius:1em;box-shadow:0 0 .2em #444;box-sizing:content-box;text-align:center;text-indent:0 !important;font-family:"Courier New",Courier,monospace;line-height:1em;content:"+";background-color:#31b131}table.dataTable.dtr-column>tbody>tr.parent td.dtr-control:before,table.dataTable.dtr-column>tbody>tr.parent th.dtr-control:before,table.dataTable.dtr-column>tbody>tr.parent td.control:before,table.dataTable.dtr-column>tbody>tr.parent th.control:before{content:"-";background-color:#d33333}table.dataTable>tbody>tr.child{padding:.5em 1em}table.dataTable>tbody>tr.child:hover{background:transparent !important}table.dataTable>tbody>tr.child ul.dtr-details{display:inline-block;list-style-type:none;margin:0;padding:0}table.dataTable>tbody>tr.child ul.dtr-details>li{border-bottom:1px solid #efefef;padding:.5em 0}table.dataTable>tbody>tr.child ul.dtr-details>li:first-child{padding-top:0}table.dataTable>tbody>tr.child ul.dtr-details>li:last-child{border-bottom:none}table.dataTable>tbody>tr.child span.dtr-title{display:inline-block;min-width:75px;font-weight:bold}div.dtr-modal{position:fixed;box-sizing:border-box;top:0;left:0;height:100%;width:100%;z-index:100;padding:10em 1em}div.dtr-modal div.dtr-modal-display{position:absolute;top:0;left:0;bottom:0;right:0;width:50%;height:50%;overflow:auto;margin:auto;z-index:102;overflow:auto;background-color:#f5f5f7;border:1px solid black;border-radius:.5em;box-shadow:0 12px 30px rgba(0, 0, 0, 0.6)}div.dtr-modal div.dtr-modal-content{position:relative;padding:1em}div.dtr-modal div.dtr-modal-close{position:absolute;top:6px;right:6px;width:22px;height:22px;border:1px solid #eaeaea;background-color:#f9f9f9;text-align:center;border-radius:3px;cursor:pointer;z-index:12}div.dtr-modal div.dtr-modal-close:hover{background-color:#eaeaea}div.dtr-modal div.dtr-modal-background{position:fixed;top:0;left:0;right:0;bottom:0;z-index:101;background:rgba(0, 0, 0, 0.6)}@media screen and (max-width: 767px){div.dtr-modal div.dtr-modal-display{width:95%}}
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/Responsive/css/responsive.foundation.min.css
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/Responsive/css/responsive.foundation.min.css	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/Responsive/css/responsive.foundation.min.css	(revision 3761)
@@ -0,0 +1 @@
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Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/AutoFill/js/autoFill.bulma.min.js
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/AutoFill/js/autoFill.bulma.min.js	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/AutoFill/js/autoFill.bulma.min.js	(revision 3761)
@@ -0,0 +1,5 @@
+/*!
+ Bulma integration for DataTables' AutoFill
+ Â©2015 SpryMedia Ltd - datatables.net/license
+*/
+(function(b){"function"===typeof define&&define.amd?define(["jquery","datatables.net-bm","datatables.net-autofill"],function(a){return b(a,window,document)}):"object"===typeof exports?module.exports=function(a,c){a||(a=window);c&&c.fn.dataTable||(c=require("datatables.net-bm")(a,c).$);c.fn.dataTable.AutoFill||require("datatables.net-autofill")(a,c);return b(c,a,a.document)}:b(jQuery,window,document)})(function(b,a,c,d){b=b.fn.dataTable;b.AutoFill.classes.btn="button is-small";return b});
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/AutoFill/js/autoFill.bootstrap4.min.js
===================================================================
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@@ -0,0 +1,5 @@
+/*!
+ Bootstrap integration for DataTables' AutoFill
+ Â©2015 SpryMedia Ltd - datatables.net/license
+*/
+(function(b){"function"===typeof define&&define.amd?define(["jquery","datatables.net-bs4","datatables.net-autofill"],function(a){return b(a,window,document)}):"object"===typeof exports?module.exports=function(a,c){a||(a=window);c&&c.fn.dataTable||(c=require("datatables.net-bs4")(a,c).$);c.fn.dataTable.AutoFill||require("datatables.net-autofill")(a,c);return b(c,a,a.document)}:b(jQuery,window,document)})(function(b,a,c,d){b=b.fn.dataTable;b.AutoFill.classes.btn="btn btn-primary";return b});
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/AutoFill/js/autoFill.semanticui.min.js
===================================================================
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+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/AutoFill/js/autoFill.semanticui.min.js	(revision 3761)
@@ -0,0 +1,5 @@
+/*!
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+ Â©2015 SpryMedia Ltd - datatables.net/license
+*/
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Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/AutoFill/js/autoFill.bootstrap5.min.js
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/AutoFill/js/autoFill.bootstrap5.min.js	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/AutoFill/js/autoFill.bootstrap5.min.js	(revision 3761)
@@ -0,0 +1,5 @@
+/*!
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+ Â©2015 SpryMedia Ltd - datatables.net/license
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Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/AutoFill/js/autoFill.dataTables.min.js
===================================================================
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+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/AutoFill/js/autoFill.dataTables.min.js	(revision 3761)
@@ -0,0 +1,5 @@
+/*!
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+ Â©2018 SpryMedia Ltd - datatables.net/license
+*/
+(function(c){"function"===typeof define&&define.amd?define(["jquery","datatables.net-dt","datatables.net-autofill"],function(a){return c(a,window,document)}):"object"===typeof exports?module.exports=function(a,b){a||(a=window);b&&b.fn.dataTable||(b=require("datatables.net-dt")(a,b).$);b.fn.dataTable.AutoFill||require("datatables.net-autofill")(a,b);return c(b,a,a.document)}:c(jQuery,window,document)})(function(c,a,b,d){return c.fn.dataTable});
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/AutoFill/js/dataTables.autoFill.min.js
===================================================================
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+/*!
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+
+ This source file is free software, available under the following license:
+   MIT license - http://datatables.net/license/mit
+
+ This source file is distributed in the hope that it will be useful, but
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+
+ For details please refer to: http://www.datatables.net
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+left:a,width:e});h.right.css({top:c,left:a+e,height:d})}},_editor:function(a){var d=this.s.dt,c=this.c.editor;if(c){for(var e={},h=[],l=c.fields(),n=0,q=a.length;n<q;n++)for(var r=0,t=a[n].length;r<t;r++){var x=a[n][r],w=d.settings()[0].aoColumns[x.index.column],u=w.editField;if(u===k){w=w.mData;for(var y=0,z=l.length;y<z;y++){var A=c.field(l[y]);if(A.dataSrc()===w){u=A.name();break}}}if(!u)throw"Could not automatically determine field data. Please see https://datatables.net/tn/11";e[u]||(e[u]={});
+w=d.row(x.index.row).id();e[u][w]=x.set;h.push(x.index)}c.bubble(h,!1).multiSet(e).submit()}},_emitEvent:function(a,d){this.s.dt.iterator("table",function(c,e){b(c.nTable).triggerHandler(a+".dt",d)})},_focusListener:function(){var a=this,d=this.s.dt,c=this.s.namespace,e=null!==this.c.focus?this.c.focus:d.init().keys||d.settings()[0].keytable?"focus":"hover";if("focus"===e)d.on("key-focus.autoFill",function(h,l,n){a._attach(n.node())}).on("key-blur.autoFill",function(h,l,n){a._detach()});else if("click"===
+e)b(d.table().body()).on("click"+c,"td, th",function(h){a._attach(this)}),b(g.body).on("click"+c,function(h){b(h.target).parents().filter(d.table().body()).length||a._detach()});else b(d.table().body()).on("mouseenter"+c+" touchstart"+c,"td, th",function(h){a._attach(this)}).on("mouseleave"+c+"touchend"+c,function(h){b(h.relatedTarget).hasClass("dt-autofill-handle")||a._detach()})},_focusListenerRemove:function(){var a=this.s.dt;a.off(".autoFill");b(a.table().body()).off(this.s.namespace);b(g.body).off(this.s.namespace)},
+_getPosition:function(a,d){var c=0,e=0;d||(d=b(b(this.s.dt.table().node())[0].offsetParent));do{var h=a.offsetTop,l=a.offsetLeft;var n=b(a.offsetParent);c+=h+1*parseInt(n.css("border-top-width")||0);e+=l+1*parseInt(n.css("border-left-width")||0);if("body"===a.nodeName.toLowerCase())break;a=n.get(0)}while(n.get(0)!==d.get(0));return{top:c,left:e}},_mousedown:function(a){var d=this,c=this.s.dt;this.dom.start=this.dom.attachedTo;this.s.start={row:c.rows({page:"current"}).nodes().indexOf(b(this.dom.start).parent()[0]),
+column:b(this.dom.start).index()};b(g.body).on("mousemove.autoFill touchmove.autoFill",function(h){d._mousemove(h);if("touchmove"===h.type)b(g.body).one("touchend.autoFill",function(){d._detach()})}).on("mouseup.autoFill touchend.autoFill",function(h){d._mouseup(h)});var e=this.dom.select;c=b(c.table().node()).offsetParent();e.top.appendTo(c);e.left.appendTo(c);e.right.appendTo(c);e.bottom.appendTo(c);this._drawSelection(this.dom.start,a);this.dom.handle.css("display","none");a=this.dom.dtScroll;
+this.s.scroll={windowHeight:b(f).height(),windowWidth:b(f).width(),dtTop:a?a.offset().top:null,dtLeft:a?a.offset().left:null,dtHeight:a?a.outerHeight():null,dtWidth:a?a.outerWidth():null}},_mousemove:function(a){var d=a.type.includes("touch")?g.elementFromPoint(a.touches[0].clientX,a.touches[0].clientY):a.target,c=d.nodeName.toLowerCase();if("td"===c||"th"===c)this._drawSelection(d,a),this._shiftScroll(a)},_mouseup:function(a){b(g.body).off(".autoFill");var d=this,c=this.s.dt,e=this.dom.select;e.top.remove();
+e.left.remove();e.right.remove();e.bottom.remove();this.dom.handle.css("display","block");e=this.s.start;var h=this.s.end;if(e.row!==h.row||e.column!==h.column){var l=c.cell(":eq("+e.row+")",e.column+":visible",{page:"current"});if(b("div.DTE",l.node()).length){var n=c.editor();n.on("submitSuccess.dtaf close.dtaf",function(){n.off(".dtaf");setTimeout(function(){d._mouseup(a)},100)}).on("submitComplete.dtaf preSubmitCancelled.dtaf close.dtaf",function(){n.off(".dtaf")});n.submit()}else{var q=this._range(e.row,
+h.row);e=this._range(e.column,h.column);h=[];for(var r=c.settings()[0],t=r.aoColumns,x=c.columns(this.c.columns).indexes(),w=0;w<q.length;w++)h.push(b.map(e,function(u){var y=c.row(":eq("+q[w]+")",{page:"current"});u=c.cell(y.index(),u+":visible");y=u.data();var z=u.index(),A=t[z.column].editField;A!==k&&(y=r.oApi._fnGetObjectDataFn(A)(c.row(z.row).data()));if(-1!==x.indexOf(z.column))return{cell:u,data:y,label:u.data(),index:z}}));this._actionSelector(h);clearInterval(this.s.scrollInterval);this.s.scrollInterval=
+null}}},_range:function(a,d){var c=[];if(a<=d)for(;a<=d;a++)c.push(a);else for(;a>=d;a--)c.push(a);return c},_shiftScroll:function(a){var d=this,c=this.s.scroll,e=!1,h=a.type.includes("touch")?a.touches[0].clientX:a.pageX-f.scrollX;a=a.type.includes("touch")?a.touches[0].clientY:a.pageY-f.scrollY;var l,n,q,r;65>a?l=-5:a>c.windowHeight-65&&(l=5);65>h?n=-5:h>c.windowWidth-65&&(n=5);null!==c.dtTop&&a<c.dtTop+65?q=-5:null!==c.dtTop&&a>c.dtTop+c.dtHeight-65&&(q=5);null!==c.dtLeft&&h<c.dtLeft+65?r=-5:null!==
+c.dtLeft&&h>c.dtLeft+c.dtWidth-65&&(r=5);l||n||q||r?(c.windowVert=l,c.windowHoriz=n,c.dtVert=q,c.dtHoriz=r,e=!0):this.s.scrollInterval&&(clearInterval(this.s.scrollInterval),this.s.scrollInterval=null);!this.s.scrollInterval&&e&&(this.s.scrollInterval=setInterval(function(){f.scrollTo(f.scrollX+(c.windowHoriz?c.windowHoriz:0),f.scrollY+(c.windowVert?c.windowVert:0));if(c.dtVert||c.dtHoriz){var t=d.dom.dtScroll[0];c.dtVert&&(t.scrollTop+=c.dtVert);c.dtHoriz&&(t.scrollLeft+=c.dtHoriz)}},20))},_update:function(a,
+d){if(!1!==a){a=this.s.dt;var c=a.columns(this.c.columns).indexes();this._emitEvent("preAutoFill",[a,d]);this._editor(d);if(null!==this.c.update?this.c.update:!this.c.editor){for(var e=0,h=d.length;e<h;e++)for(var l=0,n=d[e].length;l<n;l++){var q=d[e][l];-1!==c.indexOf(q.index.column)&&q.cell.data(q.set)}a.draw(!1)}this._emitEvent("autoFill",[a,d])}}});p.actions={increment:{available:function(a,d){a=d[0][0].label;return!isNaN(a-parseFloat(a))},option:function(a,d){return a.i18n("autoFill.increment",
+'Increment / decrement each cell by: <input type="number" value="1">')},execute:function(a,d,c){a=1*d[0][0].data;c=1*b("input",c).val();for(var e=0,h=d.length;e<h;e++)for(var l=0,n=d[e].length;l<n;l++)d[e][l].set=a,a+=c}},fill:{available:function(a,d){return!0},option:function(a,d){return a.i18n("autoFill.fill","Fill all cells with <i>%d</i>",d[0][0].label)},execute:function(a,d,c){a=d[0][0].data;c=0;for(var e=d.length;c<e;c++)for(var h=0,l=d[c].length;h<l;h++)d[c][h].set=a}},fillHorizontal:{available:function(a,
+d){return 1<d.length&&1<d[0].length},option:function(a,d){return a.i18n("autoFill.fillHorizontal","Fill cells horizontally")},execute:function(a,d,c){a=0;for(c=d.length;a<c;a++)for(var e=0,h=d[a].length;e<h;e++)d[a][e].set=d[a][0].data}},fillVertical:{available:function(a,d){return 1<d.length},option:function(a,d){return a.i18n("autoFill.fillVertical","Fill cells vertically")},execute:function(a,d,c){a=0;for(c=d.length;a<c;a++)for(var e=0,h=d[a].length;e<h;e++)d[a][e].set=d[0][e].data}},cancel:{available:function(){return!1},
+option:function(a){return a.i18n("autoFill.cancel","Cancel")},execute:function(){return!1}}};p.version="2.4.0";p.defaults={alwaysAsk:!1,closeButton:!0,focus:null,columns:"",enable:!0,update:null,editor:null,vertical:!0,horizontal:!0};p.classes={btn:"btn",closeable:"dtaf-popover-closeable"};var B=b.fn.dataTable.Api;B.register("autoFill()",function(){return this});B.register("autoFill().enabled()",function(){var a=this.context[0];return a.autoFill?a.autoFill.enabled():!1});B.register("autoFill().enable()",
+function(a){return this.iterator("table",function(d){d.autoFill&&d.autoFill.enable(a)})});B.register("autoFill().disable()",function(){return this.iterator("table",function(a){a.autoFill&&a.autoFill.disable()})});b(g).on("preInit.dt.autofill",function(a,d,c){"dt"===a.namespace&&(a=d.oInit.autoFill,c=m.defaults.autoFill,a||c)&&(c=b.extend({},a,c),!1!==a&&new p(d,c))});m.AutoFill=p;return m.AutoFill=p});
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/AutoFill/js/autoFill.foundation.min.js
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/AutoFill/js/autoFill.foundation.min.js	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/AutoFill/js/autoFill.foundation.min.js	(revision 3761)
@@ -0,0 +1,5 @@
+/*!
+ Foundation integration for DataTables' AutoFill
+ Â©2015 SpryMedia Ltd - datatables.net/license
+*/
+(function(b){"function"===typeof define&&define.amd?define(["jquery","datatables.net-zf","datatables.net-autofill"],function(a){return b(a,window,document)}):"object"===typeof exports?module.exports=function(a,c){a||(a=window);c&&c.fn.dataTable||(c=require("datatables.net-zf")(a,c).$);c.fn.dataTable.AutoFill||require("datatables.net-autofill")(a,c);return b(c,a,a.document)}:b(jQuery,window,document)})(function(b,a,c,d){b=b.fn.dataTable;b.AutoFill.classes.btn="button tiny";return b});
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/AutoFill/js/autoFill.bootstrap.min.js
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/AutoFill/js/autoFill.bootstrap.min.js	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/AutoFill/js/autoFill.bootstrap.min.js	(revision 3761)
@@ -0,0 +1,5 @@
+/*!
+ Bootstrap integration for DataTables' AutoFill
+ Â©2015 SpryMedia Ltd - datatables.net/license
+*/
+(function(b){"function"===typeof define&&define.amd?define(["jquery","datatables.net-bs","datatables.net-autofill"],function(a){return b(a,window,document)}):"object"===typeof exports?module.exports=function(a,c){a||(a=window);c&&c.fn.dataTable||(c=require("datatables.net-bs")(a,c).$);c.fn.dataTable.AutoFill||require("datatables.net-autofill")(a,c);return b(c,a,a.document)}:b(jQuery,window,document)})(function(b,a,c,d){b=b.fn.dataTable;b.AutoFill.classes.btn="btn btn-primary";return b});
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/AutoFill/js/autoFill.jqueryui.min.js
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/AutoFill/js/autoFill.jqueryui.min.js	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/AutoFill/js/autoFill.jqueryui.min.js	(revision 3761)
@@ -0,0 +1,6 @@
+/*!
+ jQuery UI integration for DataTables' AutoFill
+ Â©2015 SpryMedia Ltd - datatables.net/license
+*/
+(function(b){"function"===typeof define&&define.amd?define(["jquery","datatables.net-jqui","datatables.net-autofill"],function(a){return b(a,window,document)}):"object"===typeof exports?module.exports=function(a,c){a||(a=window);c&&c.fn.dataTable||(c=require("datatables.net-jqui")(a,c).$);c.fn.dataTable.AutoFill||require("datatables.net-autofill")(a,c);return b(c,a,a.document)}:b(jQuery,window,document)})(function(b,a,c,d){b=b.fn.dataTable;b.AutoFill.classes.btn="ui-button ui-state-default ui-corner-all";
+return b});
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/Select/css/select.bootstrap4.min.css
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/Select/css/select.bootstrap4.min.css	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/Select/css/select.bootstrap4.min.css	(revision 3761)
@@ -0,0 +1 @@
+table.dataTable>tbody>tr>.selected{background-color:rgba(2, 117, 216, 0.9);color:white}table.dataTable tbody td.select-checkbox,table.dataTable tbody th.select-checkbox{position:relative}table.dataTable tbody td.select-checkbox:before,table.dataTable tbody td.select-checkbox:after,table.dataTable tbody th.select-checkbox:before,table.dataTable tbody th.select-checkbox:after{display:block;position:absolute;top:1.2em;left:50%;width:12px;height:12px;box-sizing:border-box}table.dataTable tbody td.select-checkbox:before,table.dataTable tbody th.select-checkbox:before{content:" ";margin-top:-2px;margin-left:-6px;border:1px solid black;border-radius:3px}table.dataTable tr.selected td.select-checkbox:before,table.dataTable tr.selected th.select-checkbox:before{border:1px solid white}table.dataTable tr.selected td.select-checkbox:after,table.dataTable tr.selected th.select-checkbox:after{content:"âœ“";font-size:20px;margin-top:-19px;margin-left:-6px;text-align:center;text-shadow:1px 1px #b0bed9,-1px -1px #b0bed9,1px -1px #b0bed9,-1px 1px #b0bed9}table.dataTable.compact tbody td.select-checkbox:before,table.dataTable.compact tbody th.select-checkbox:before{margin-top:-12px}table.dataTable.compact tr.selected td.select-checkbox:after,table.dataTable.compact tr.selected th.select-checkbox:after{margin-top:-16px}div.dataTables_wrapper span.select-info,div.dataTables_wrapper span.select-item{margin-left:.5em}@media screen and (max-width: 640px){div.dataTables_wrapper span.select-info,div.dataTables_wrapper span.select-item{margin-left:0;display:block}}
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/Select/css/select.semanticui.min.css
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/Select/css/select.semanticui.min.css	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/Select/css/select.semanticui.min.css	(revision 3761)
@@ -0,0 +1 @@
+table.dataTable>tbody>tr>.selected{background-color:rgba(0, 0, 0, 0.05);color:white}table.dataTable tbody td.select-checkbox,table.dataTable tbody th.select-checkbox{position:relative}table.dataTable tbody td.select-checkbox:before,table.dataTable tbody td.select-checkbox:after,table.dataTable tbody th.select-checkbox:before,table.dataTable tbody th.select-checkbox:after{display:block;position:absolute;top:1.2em;left:50%;width:12px;height:12px;box-sizing:border-box}table.dataTable tbody td.select-checkbox:before,table.dataTable tbody th.select-checkbox:before{content:" ";margin-top:-3px;margin-left:-6px;border:1px solid black;border-radius:3px}table.dataTable tr.selected td.select-checkbox:before,table.dataTable tr.selected th.select-checkbox:before{border:1px solid white}table.dataTable tr.selected td.select-checkbox:after,table.dataTable tr.selected th.select-checkbox:after{content:"âœ“";font-size:20px;margin-top:-19px;margin-left:-6px;text-align:center;text-shadow:1px 1px #b0bed9,-1px -1px #b0bed9,1px -1px #b0bed9,-1px 1px #b0bed9}table.dataTable.compact tbody td.select-checkbox:before,table.dataTable.compact tbody th.select-checkbox:before{margin-top:-12px}table.dataTable.compact tr.selected td.select-checkbox:after,table.dataTable.compact tr.selected th.select-checkbox:after{margin-top:-16px}div.dataTables_wrapper span.select-info,div.dataTables_wrapper span.select-item{margin-left:.5em}@media screen and (max-width: 640px){div.dataTables_wrapper span.select-info,div.dataTables_wrapper span.select-item{margin-left:0;display:block}}
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/Select/css/select.bootstrap5.min.css
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/Select/css/select.bootstrap5.min.css	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/Select/css/select.bootstrap5.min.css	(revision 3761)
@@ -0,0 +1 @@
+table.dataTable>tbody>tr>.selected{background-color:rgba(13, 110, 253, 0.9);color:white}table.dataTable tbody td.select-checkbox,table.dataTable tbody th.select-checkbox{position:relative}table.dataTable tbody td.select-checkbox:before,table.dataTable tbody td.select-checkbox:after,table.dataTable tbody th.select-checkbox:before,table.dataTable tbody th.select-checkbox:after{display:block;position:absolute;top:1.2em;left:50%;width:12px;height:12px;box-sizing:border-box}table.dataTable tbody td.select-checkbox:before,table.dataTable tbody th.select-checkbox:before{content:" ";margin-top:-5px;margin-left:-6px;border:1px solid black;border-radius:3px}table.dataTable tr.selected td.select-checkbox:before,table.dataTable tr.selected th.select-checkbox:before{border:1px solid white}table.dataTable tr.selected td.select-checkbox:after,table.dataTable tr.selected th.select-checkbox:after{content:"âœ“";font-size:20px;margin-top:-19px;margin-left:-6px;text-align:center;text-shadow:1px 1px #b0bed9,-1px -1px #b0bed9,1px -1px #b0bed9,-1px 1px #b0bed9}table.dataTable.compact tbody td.select-checkbox:before,table.dataTable.compact tbody th.select-checkbox:before{margin-top:-12px}table.dataTable.compact tr.selected td.select-checkbox:after,table.dataTable.compact tr.selected th.select-checkbox:after{margin-top:-16px}div.dataTables_wrapper span.select-info,div.dataTables_wrapper span.select-item{margin-left:.5em}@media screen and (max-width: 640px){div.dataTables_wrapper span.select-info,div.dataTables_wrapper span.select-item{margin-left:0;display:block}}table.dataTable.table-sm tbody td.select-checkbox::before{margin-top:-9px}
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/Select/css/select.dataTables.min.css
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/Select/css/select.dataTables.min.css	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/Select/css/select.dataTables.min.css	(revision 3761)
@@ -0,0 +1 @@
+table.dataTable>tbody>tr>.selected{background-color:rgba(13, 110, 253, 0.9);color:white}table.dataTable tbody td.select-checkbox,table.dataTable tbody th.select-checkbox{position:relative}table.dataTable tbody td.select-checkbox:before,table.dataTable tbody td.select-checkbox:after,table.dataTable tbody th.select-checkbox:before,table.dataTable tbody th.select-checkbox:after{display:block;position:absolute;top:1.2em;left:50%;width:12px;height:12px;box-sizing:border-box}table.dataTable tbody td.select-checkbox:before,table.dataTable tbody th.select-checkbox:before{content:" ";margin-top:-6px;margin-left:-6px;border:1px solid black;border-radius:3px}table.dataTable tr.selected td.select-checkbox:before,table.dataTable tr.selected th.select-checkbox:before{border:1px solid white}table.dataTable tr.selected td.select-checkbox:after,table.dataTable tr.selected th.select-checkbox:after{content:"âœ“";font-size:20px;margin-top:-19px;margin-left:-6px;text-align:center;text-shadow:1px 1px #b0bed9,-1px -1px #b0bed9,1px -1px #b0bed9,-1px 1px #b0bed9}table.dataTable.compact tbody td.select-checkbox:before,table.dataTable.compact tbody th.select-checkbox:before{margin-top:-12px}table.dataTable.compact tr.selected td.select-checkbox:after,table.dataTable.compact tr.selected th.select-checkbox:after{margin-top:-16px}div.dataTables_wrapper span.select-info,div.dataTables_wrapper span.select-item{margin-left:.5em}@media screen and (max-width: 640px){div.dataTables_wrapper span.select-info,div.dataTables_wrapper span.select-item{margin-left:0;display:block}}
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/Select/css/select.foundation.min.css
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/Select/css/select.foundation.min.css	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/Select/css/select.foundation.min.css	(revision 3761)
@@ -0,0 +1 @@
+table.dataTable>tbody>tr>.selected{background-color:rgba(0, 137, 182, 0.9);color:white}table.dataTable tbody td.select-checkbox,table.dataTable tbody th.select-checkbox{position:relative}table.dataTable tbody td.select-checkbox:before,table.dataTable tbody td.select-checkbox:after,table.dataTable tbody th.select-checkbox:before,table.dataTable tbody th.select-checkbox:after{display:block;position:absolute;top:1.2em;left:50%;width:12px;height:12px;box-sizing:border-box}table.dataTable tbody td.select-checkbox:before,table.dataTable tbody th.select-checkbox:before{content:" ";margin-top:-6px;margin-left:-6px;border:1px solid black;border-radius:3px}table.dataTable tr.selected td.select-checkbox:before,table.dataTable tr.selected th.select-checkbox:before{border:1px solid white}table.dataTable tr.selected td.select-checkbox:after,table.dataTable tr.selected th.select-checkbox:after{content:"âœ“";font-size:20px;margin-top:-19px;margin-left:-6px;text-align:center;text-shadow:1px 1px #b0bed9,-1px -1px #b0bed9,1px -1px #b0bed9,-1px 1px #b0bed9}table.dataTable.compact tbody td.select-checkbox:before,table.dataTable.compact tbody th.select-checkbox:before{margin-top:-12px}table.dataTable.compact tr.selected td.select-checkbox:after,table.dataTable.compact tr.selected th.select-checkbox:after{margin-top:-16px}div.dataTables_wrapper span.select-info,div.dataTables_wrapper span.select-item{margin-left:.5em}@media screen and (max-width: 640px){div.dataTables_wrapper span.select-info,div.dataTables_wrapper span.select-item{margin-left:0;display:block}}
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/Select/css/select.bootstrap.min.css
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/Select/css/select.bootstrap.min.css	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/Select/css/select.bootstrap.min.css	(revision 3761)
@@ -0,0 +1 @@
+table.dataTable>tbody>tr>.selected{background-color:rgba(0, 136, 204, 0.9);color:white}table.dataTable tbody td.select-checkbox,table.dataTable tbody th.select-checkbox{position:relative}table.dataTable tbody td.select-checkbox:before,table.dataTable tbody td.select-checkbox:after,table.dataTable tbody th.select-checkbox:before,table.dataTable tbody th.select-checkbox:after{display:block;position:absolute;top:1.2em;left:50%;width:12px;height:12px;box-sizing:border-box}table.dataTable tbody td.select-checkbox:before,table.dataTable tbody th.select-checkbox:before{content:" ";margin-top:-6px;margin-left:-6px;border:1px solid black;border-radius:3px}table.dataTable tr.selected td.select-checkbox:before,table.dataTable tr.selected th.select-checkbox:before{border:1px solid white}table.dataTable tr.selected td.select-checkbox:after,table.dataTable tr.selected th.select-checkbox:after{content:"âœ“";font-size:20px;margin-top:-19px;margin-left:-6px;text-align:center;text-shadow:1px 1px #b0bed9,-1px -1px #b0bed9,1px -1px #b0bed9,-1px 1px #b0bed9}table.dataTable.compact tbody td.select-checkbox:before,table.dataTable.compact tbody th.select-checkbox:before{margin-top:-12px}table.dataTable.compact tr.selected td.select-checkbox:after,table.dataTable.compact tr.selected th.select-checkbox:after{margin-top:-16px}div.dataTables_wrapper span.select-info,div.dataTables_wrapper span.select-item{margin-left:.5em}@media screen and (max-width: 640px){div.dataTables_wrapper span.select-info,div.dataTables_wrapper span.select-item{margin-left:0;display:block}}
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/Select/css/select.jqueryui.min.css
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/Select/css/select.jqueryui.min.css	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/Select/css/select.jqueryui.min.css	(revision 3761)
@@ -0,0 +1 @@
+table.dataTable>tbody>tr>.selected{background-color:rgba(13, 110, 253, 0.9);color:white}table.dataTable tbody td.select-checkbox,table.dataTable tbody th.select-checkbox{position:relative}table.dataTable tbody td.select-checkbox:before,table.dataTable tbody td.select-checkbox:after,table.dataTable tbody th.select-checkbox:before,table.dataTable tbody th.select-checkbox:after{display:block;position:absolute;top:1.2em;left:50%;width:12px;height:12px;box-sizing:border-box}table.dataTable tbody td.select-checkbox:before,table.dataTable tbody th.select-checkbox:before{content:" ";margin-top:-6px;margin-left:-6px;border:1px solid black;border-radius:3px}table.dataTable tr.selected td.select-checkbox:before,table.dataTable tr.selected th.select-checkbox:before{border:1px solid white}table.dataTable tr.selected td.select-checkbox:after,table.dataTable tr.selected th.select-checkbox:after{content:"âœ“";font-size:20px;margin-top:-19px;margin-left:-6px;text-align:center;text-shadow:1px 1px #b0bed9,-1px -1px #b0bed9,1px -1px #b0bed9,-1px 1px #b0bed9}table.dataTable.compact tbody td.select-checkbox:before,table.dataTable.compact tbody th.select-checkbox:before{margin-top:-12px}table.dataTable.compact tr.selected td.select-checkbox:after,table.dataTable.compact tr.selected th.select-checkbox:after{margin-top:-16px}div.dataTables_wrapper span.select-info,div.dataTables_wrapper span.select-item{margin-left:.5em}@media screen and (max-width: 640px){div.dataTables_wrapper span.select-info,div.dataTables_wrapper span.select-item{margin-left:0;display:block}}
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/Select/css/select.bulma.min.css
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/Select/css/select.bulma.min.css	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/Select/css/select.bulma.min.css	(revision 3761)
@@ -0,0 +1 @@
+table.dataTable>tbody>tr>.selected{background-color:rgba(0, 209, 178, 0.9);color:white}table.dataTable tbody td.select-checkbox,table.dataTable tbody th.select-checkbox{position:relative}table.dataTable tbody td.select-checkbox:before,table.dataTable tbody td.select-checkbox:after,table.dataTable tbody th.select-checkbox:before,table.dataTable tbody th.select-checkbox:after{display:block;position:absolute;top:1.2em;left:50%;width:12px;height:12px;box-sizing:border-box}table.dataTable tbody td.select-checkbox:before,table.dataTable tbody th.select-checkbox:before{content:" ";margin-top:-2px;margin-left:-6px;border:1px solid black;border-radius:3px}table.dataTable tr.selected td.select-checkbox:before,table.dataTable tr.selected th.select-checkbox:before{border:1px solid white}table.dataTable tr.selected td.select-checkbox:after,table.dataTable tr.selected th.select-checkbox:after{content:"âœ“";font-size:20px;margin-top:-19px;margin-left:-6px;text-align:center;text-shadow:1px 1px #b0bed9,-1px -1px #b0bed9,1px -1px #b0bed9,-1px 1px #b0bed9}table.dataTable.compact tbody td.select-checkbox:before,table.dataTable.compact tbody th.select-checkbox:before{margin-top:-12px}table.dataTable.compact tr.selected td.select-checkbox:after,table.dataTable.compact tr.selected th.select-checkbox:after{margin-top:-16px}div.dataTables_wrapper span.select-info,div.dataTables_wrapper span.select-item{margin-left:.5em}@media screen and (max-width: 640px){div.dataTables_wrapper span.select-info,div.dataTables_wrapper span.select-item{margin-left:0;display:block}}
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/Select/js/select.bulma.min.js
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/Select/js/select.bulma.min.js	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/Select/js/select.bulma.min.js	(revision 3761)
@@ -0,0 +1,5 @@
+/*!
+ Bulma styling wrapper for Select
+ Â©2021 SpryMedia Ltd - datatables.net/license
+*/
+(function(c){"function"===typeof define&&define.amd?define(["jquery","datatables.net-bm","datatables.net-select"],function(a){return c(a,window,document)}):"object"===typeof exports?module.exports=function(a,b){a||(a=window);b&&b.fn.dataTable||(b=require("datatables.net-bm")(a,b).$);b.fn.dataTable.select||require("datatables.net-select")(a,b);return c(b,a,a.document)}:c(jQuery,window,document)})(function(c,a,b,d){return c.fn.dataTable});
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/Select/js/select.bootstrap4.min.js
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/Select/js/select.bootstrap4.min.js	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/Select/js/select.bootstrap4.min.js	(revision 3761)
@@ -0,0 +1,5 @@
+/*!
+ Bootstrap 4 styling wrapper for Select
+ Â©2018 SpryMedia Ltd - datatables.net/license
+*/
+(function(c){"function"===typeof define&&define.amd?define(["jquery","datatables.net-bs4","datatables.net-select"],function(a){return c(a,window,document)}):"object"===typeof exports?module.exports=function(a,b){a||(a=window);b&&b.fn.dataTable||(b=require("datatables.net-bs4")(a,b).$);b.fn.dataTable.select||require("datatables.net-select")(a,b);return c(b,a,a.document)}:c(jQuery,window,document)})(function(c,a,b,d){return c.fn.dataTable});
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/Select/js/select.semanticui.min.js
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/Select/js/select.semanticui.min.js	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/Select/js/select.semanticui.min.js	(revision 3761)
@@ -0,0 +1,5 @@
+/*!
+ Semanic UI styling wrapper for Select
+ Â©2018 SpryMedia Ltd - datatables.net/license
+*/
+(function(c){"function"===typeof define&&define.amd?define(["jquery","datatables.net-se","datatables.net-select"],function(a){return c(a,window,document)}):"object"===typeof exports?module.exports=function(a,b){a||(a=window);b&&b.fn.dataTable||(b=require("datatables.net-se")(a,b).$);b.fn.dataTable.select||require("datatables.net-select")(a,b);return c(b,a,a.document)}:c(jQuery,window,document)})(function(c,a,b,d){return c.fn.dataTable});
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/Select/js/select.bootstrap5.min.js
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/Select/js/select.bootstrap5.min.js	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/Select/js/select.bootstrap5.min.js	(revision 3761)
@@ -0,0 +1,5 @@
+/*!
+ Bootstrap 5 styling wrapper for Select
+ Â©2021 SpryMedia Ltd - datatables.net/license
+*/
+(function(c){"function"===typeof define&&define.amd?define(["jquery","datatables.net-bs5","datatables.net-select"],function(a){return c(a,window,document)}):"object"===typeof exports?module.exports=function(a,b){a||(a=window);b&&b.fn.dataTable||(b=require("datatables.net-bs5")(a,b).$);b.fn.dataTable.select||require("datatables.net-select")(a,b);return c(b,a,a.document)}:c(jQuery,window,document)})(function(c,a,b,d){return c.fn.dataTable});
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/Select/js/dataTables.select.min.js
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/Select/js/dataTables.select.min.js	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/Select/js/dataTables.select.min.js	(revision 3761)
@@ -0,0 +1,41 @@
+/*!
+   Copyright 2015-2021 SpryMedia Ltd.
+
+ This source file is free software, available under the following license:
+   MIT license - http://datatables.net/license/mit
+
+ This source file is distributed in the hope that it will be useful, but
+ WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY
+ or FITNESS FOR A PARTICULAR PURPOSE. See the license files for details.
+
+ For details please refer to: http://www.datatables.net/extensions/select
+ Select for DataTables 1.4.0
+ 2015-2021 SpryMedia Ltd - datatables.net/license/mit
+*/
+(function(h){"function"===typeof define&&define.amd?define(["jquery","datatables.net"],function(r){return h(r,window,document)}):"object"===typeof exports?module.exports=function(r,w){r||(r=window);w&&w.fn.dataTable||(w=require("datatables.net")(r,w).$);return h(w,r,r.document)}:h(jQuery,window,document)})(function(h,r,w,l){function I(a,b,c){var d=function(g,f){if(g>f){var k=f;f=g;g=k}var n=!1;return a.columns(":visible").indexes().filter(function(q){q===g&&(n=!0);return q===f?(n=!1,!0):n})};var e=
+function(g,f){var k=a.rows({search:"applied"}).indexes();if(k.indexOf(g)>k.indexOf(f)){var n=f;f=g;g=n}var q=!1;return k.filter(function(y){y===g&&(q=!0);return y===f?(q=!1,!0):q})};a.cells({selected:!0}).any()||c?(d=d(c.column,b.column),c=e(c.row,b.row)):(d=d(0,b.column),c=e(0,b.row));c=a.cells(c,d).flatten();a.cells(b,{selected:!0}).any()?a.cells(c).deselect():a.cells(c).select()}function C(a){var b=a.settings()[0]._select.selector;h(a.table().container()).off("mousedown.dtSelect",b).off("mouseup.dtSelect",
+b).off("click.dtSelect",b);h("body").off("click.dtSelect"+D(a.table().node()))}function J(a){var b=h(a.table().container()),c=a.settings()[0],d=c._select.selector,e;b.on("mousedown.dtSelect",d,function(g){if(g.shiftKey||g.metaKey||g.ctrlKey)b.css("-moz-user-select","none").one("selectstart.dtSelect",d,function(){return!1});r.getSelection&&(e=r.getSelection())}).on("mouseup.dtSelect",d,function(){b.css("-moz-user-select","")}).on("click.dtSelect",d,function(g){var f=a.select.items();if(e){var k=r.getSelection();
+if((!k.anchorNode||h(k.anchorNode).closest("table")[0]===a.table().node())&&k!==e)return}k=a.settings()[0];var n=a.settings()[0].oClasses.sWrapper.trim().replace(/ +/g,".");if(h(g.target).closest("div."+n)[0]==a.table().container()&&(n=a.cell(h(g.target).closest("td, th")),n.any())){var q=h.Event("user-select.dt");u(a,q,[f,n,g]);q.isDefaultPrevented()||(q=n.index(),"row"===f?(f=q.row,E(g,a,k,"row",f)):"column"===f?(f=n.index().column,E(g,a,k,"column",f)):"cell"===f&&(f=n.index(),E(g,a,k,"cell",f)),
+k._select_lastCell=q)}});h("body").on("click.dtSelect"+D(a.table().node()),function(g){if(c._select.blurable&&!h(g.target).parents().filter(a.table().container()).length&&0!==h(g.target).parents("html").length&&!h(g.target).parents("div.DTE").length){var f=h.Event("select-blur.dt");u(a,f,[g.target,g]);f.isDefaultPrevented()||z(c,!0)}})}function u(a,b,c,d){if(!d||a.flatten().length)"string"===typeof b&&(b+=".dt"),c.unshift(a),h(a.table().node()).trigger(b,c)}function N(a){var b=a.settings()[0];if(b._select.info&&
+b.aanFeatures.i&&"api"!==a.select.style()){var c=a.rows({selected:!0}).flatten().length,d=a.columns({selected:!0}).flatten().length,e=a.cells({selected:!0}).flatten().length,g=function(f,k,n){f.append(h('<span class="select-item"/>').append(a.i18n("select."+k+"s",{_:"%d "+k+"s selected",0:"",1:"1 "+k+" selected"},n)))};h.each(b.aanFeatures.i,function(f,k){k=h(k);f=h('<span class="select-info"/>');g(f,"row",c);g(f,"column",d);g(f,"cell",e);var n=k.children("span.select-info");n.length&&n.remove();
+""!==f.text()&&k.append(f)})}}function O(a){var b=new m.Api(a);a._select_init=!0;a.aoRowCreatedCallback.push({fn:function(c,d,e){d=a.aoData[e];d._select_selected&&h(c).addClass(a._select.className);c=0;for(e=a.aoColumns.length;c<e;c++)(a.aoColumns[c]._select_selected||d._selected_cells&&d._selected_cells[c])&&h(d.anCells[c]).addClass(a._select.className)},sName:"select-deferRender"});b.on("preXhr.dt.dtSelect",function(c,d){if(d===b.settings()[0]){var e=b.rows({selected:!0}).ids(!0).filter(function(f){return f!==
+l}),g=b.cells({selected:!0}).eq(0).map(function(f){var k=b.row(f.row).id(!0);return k?{row:k,column:f.column}:l}).filter(function(f){return f!==l});b.one("draw.dt.dtSelect",function(){b.rows(e).select();g.any()&&g.each(function(f){b.cells(f.row,f.column).select()})})}});b.on("draw.dtSelect.dt select.dtSelect.dt deselect.dtSelect.dt info.dt",function(){N(b);b.state.save()});b.on("destroy.dtSelect",function(){b.rows({selected:!0}).deselect();C(b);b.off(".dtSelect");h("body").off(".dtSelect"+D(b.table().node()))})}
+function K(a,b,c,d){var e=a[b+"s"]({search:"applied"}).indexes();d=h.inArray(d,e);var g=h.inArray(c,e);if(a[b+"s"]({selected:!0}).any()||-1!==d){if(d>g){var f=g;g=d;d=f}e.splice(g+1,e.length);e.splice(0,d)}else e.splice(h.inArray(c,e)+1,e.length);a[b](c,{selected:!0}).any()?(e.splice(h.inArray(c,e),1),a[b+"s"](e).deselect()):a[b+"s"](e).select()}function z(a,b){if(b||"single"===a._select.style)a=new m.Api(a),a.rows({selected:!0}).deselect(),a.columns({selected:!0}).deselect(),a.cells({selected:!0}).deselect()}
+function E(a,b,c,d,e){var g=b.select.style(),f=b.select.toggleable(),k=b[d](e,{selected:!0}).any();if(!k||f)"os"===g?a.ctrlKey||a.metaKey?b[d](e).select(!k):a.shiftKey?"cell"===d?I(b,e,c._select_lastCell||null):K(b,d,e,c._select_lastCell?c._select_lastCell[d]:null):(a=b[d+"s"]({selected:!0}),k&&1===a.flatten().length?b[d](e).deselect():(a.deselect(),b[d](e).select())):"multi+shift"==g?a.shiftKey?"cell"===d?I(b,e,c._select_lastCell||null):K(b,d,e,c._select_lastCell?c._select_lastCell[d]:null):b[d](e).select(!k):
+b[d](e).select(!k)}function D(a){return a.id.replace(/[^a-zA-Z0-9\-_]/g,"-")}function A(a,b){return function(c){return c.i18n("buttons."+a,b)}}function F(a){a=a._eventNamespace;return"draw.dt.DT"+a+" select.dt.DT"+a+" deselect.dt.DT"+a}function P(a,b){return-1!==h.inArray("rows",b.limitTo)&&a.rows({selected:!0}).any()||-1!==h.inArray("columns",b.limitTo)&&a.columns({selected:!0}).any()||-1!==h.inArray("cells",b.limitTo)&&a.cells({selected:!0}).any()?!0:!1}var m=h.fn.dataTable;m.select={};m.select.version=
+"1.4.0";m.select.init=function(a){var b=a.settings()[0];if(!b._select){var c=a.state.loaded(),d=function(t,G,p){if(null!==p&&p.select!==l){a.rows({selected:!0}).any()&&a.rows().deselect();p.select.rows!==l&&a.rows(p.select.rows).select();a.columns({selected:!0}).any()&&a.columns().deselect();p.select.columns!==l&&a.columns(p.select.columns).select();a.cells({selected:!0}).any()&&a.cells().deselect();if(p.select.cells!==l)for(t=0;t<p.select.cells.length;t++)a.cell(p.select.cells[t].row,p.select.cells[t].column).select();
+a.state.save()}};a.one("init",function(){a.on("stateSaveParams",function(t,G,p){p.select={};p.select.rows=a.rows({selected:!0}).ids(!0).toArray();p.select.columns=a.columns({selected:!0})[0];p.select.cells=a.cells({selected:!0})[0].map(function(L){return{row:a.row(L.row).id(!0),column:L.column}})});d(l,l,c);a.on("stateLoaded stateLoadParams",d)});var e=b.oInit.select,g=m.defaults.select;e=e===l?g:e;g="row";var f="api",k=!1,n=!0,q=!0,y="td, th",M="selected",B=!1;b._select={};!0===e?(f="os",B=!0):"string"===
+typeof e?(f=e,B=!0):h.isPlainObject(e)&&(e.blurable!==l&&(k=e.blurable),e.toggleable!==l&&(n=e.toggleable),e.info!==l&&(q=e.info),e.items!==l&&(g=e.items),f=e.style!==l?e.style:"os",B=!0,e.selector!==l&&(y=e.selector),e.className!==l&&(M=e.className));a.select.selector(y);a.select.items(g);a.select.style(f);a.select.blurable(k);a.select.toggleable(n);a.select.info(q);b._select.className=M;h.fn.dataTable.ext.order["select-checkbox"]=function(t,G){return this.api().column(G,{order:"index"}).nodes().map(function(p){return"row"===
+t._select.items?h(p).parent().hasClass(t._select.className):"cell"===t._select.items?h(p).hasClass(t._select.className):!1})};!B&&h(a.table().node()).hasClass("selectable")&&a.select.style("os")}};h.each([{type:"row",prop:"aoData"},{type:"column",prop:"aoColumns"}],function(a,b){m.ext.selector[b.type].push(function(c,d,e){d=d.selected;var g=[];if(!0!==d&&!1!==d)return e;for(var f=0,k=e.length;f<k;f++){var n=c[b.prop][e[f]];(!0===d&&!0===n._select_selected||!1===d&&!n._select_selected)&&g.push(e[f])}return g})});
+m.ext.selector.cell.push(function(a,b,c){b=b.selected;var d=[];if(b===l)return c;for(var e=0,g=c.length;e<g;e++){var f=a.aoData[c[e].row];(!0===b&&f._selected_cells&&!0===f._selected_cells[c[e].column]||!(!1!==b||f._selected_cells&&f._selected_cells[c[e].column]))&&d.push(c[e])}return d});var v=m.Api.register,x=m.Api.registerPlural;v("select()",function(){return this.iterator("table",function(a){m.select.init(new m.Api(a))})});v("select.blurable()",function(a){return a===l?this.context[0]._select.blurable:
+this.iterator("table",function(b){b._select.blurable=a})});v("select.toggleable()",function(a){return a===l?this.context[0]._select.toggleable:this.iterator("table",function(b){b._select.toggleable=a})});v("select.info()",function(a){return a===l?this.context[0]._select.info:this.iterator("table",function(b){b._select.info=a})});v("select.items()",function(a){return a===l?this.context[0]._select.items:this.iterator("table",function(b){b._select.items=a;u(new m.Api(b),"selectItems",[a])})});v("select.style()",
+function(a){return a===l?this.context[0]._select.style:this.iterator("table",function(b){b._select||m.select.init(new m.Api(b));b._select_init||O(b);b._select.style=a;var c=new m.Api(b);C(c);"api"!==a&&J(c);u(new m.Api(b),"selectStyle",[a])})});v("select.selector()",function(a){return a===l?this.context[0]._select.selector:this.iterator("table",function(b){C(new m.Api(b));b._select.selector=a;"api"!==b._select.style&&J(new m.Api(b))})});x("rows().select()","row().select()",function(a){var b=this;
+if(!1===a)return this.deselect();this.iterator("row",function(c,d){z(c);c.aoData[d]._select_selected=!0;h(c.aoData[d].nTr).addClass(c._select.className)});this.iterator("table",function(c,d){u(b,"select",["row",b[d]],!0)});return this});v("row().selected()",function(){var a=this.context[0];return a&&this.length&&a.aoData[this[0]]&&a.aoData[this[0]]._select_selected?!0:!1});x("columns().select()","column().select()",function(a){var b=this;if(!1===a)return this.deselect();this.iterator("column",function(c,
+d){z(c);c.aoColumns[d]._select_selected=!0;d=(new m.Api(c)).column(d);h(d.header()).addClass(c._select.className);h(d.footer()).addClass(c._select.className);d.nodes().to$().addClass(c._select.className)});this.iterator("table",function(c,d){u(b,"select",["column",b[d]],!0)});return this});v("column().selected()",function(){var a=this.context[0];return a&&this.length&&a.aoColumns[this[0]]&&a.aoColumns[this[0]]._select_selected?!0:!1});x("cells().select()","cell().select()",function(a){var b=this;
+if(!1===a)return this.deselect();this.iterator("cell",function(c,d,e){z(c);d=c.aoData[d];d._selected_cells===l&&(d._selected_cells=[]);d._selected_cells[e]=!0;d.anCells&&h(d.anCells[e]).addClass(c._select.className)});this.iterator("table",function(c,d){u(b,"select",["cell",b.cells(b[d]).indexes().toArray()],!0)});return this});v("cell().selected()",function(){var a=this.context[0];return a&&this.length&&(a=a.aoData[this[0][0].row])&&a._selected_cells&&a._selected_cells[this[0][0].column]?!0:!1});
+x("rows().deselect()","row().deselect()",function(){var a=this;this.iterator("row",function(b,c){b.aoData[c]._select_selected=!1;b._select_lastCell=null;h(b.aoData[c].nTr).removeClass(b._select.className)});this.iterator("table",function(b,c){u(a,"deselect",["row",a[c]],!0)});return this});x("columns().deselect()","column().deselect()",function(){var a=this;this.iterator("column",function(b,c){b.aoColumns[c]._select_selected=!1;var d=new m.Api(b),e=d.column(c);h(e.header()).removeClass(b._select.className);
+h(e.footer()).removeClass(b._select.className);d.cells(null,c).indexes().each(function(g){var f=b.aoData[g.row],k=f._selected_cells;!f.anCells||k&&k[g.column]||h(f.anCells[g.column]).removeClass(b._select.className)})});this.iterator("table",function(b,c){u(a,"deselect",["column",a[c]],!0)});return this});x("cells().deselect()","cell().deselect()",function(){var a=this;this.iterator("cell",function(b,c,d){c=b.aoData[c];c._selected_cells!==l&&(c._selected_cells[d]=!1);c.anCells&&!b.aoColumns[d]._select_selected&&
+h(c.anCells[d]).removeClass(b._select.className)});this.iterator("table",function(b,c){u(a,"deselect",["cell",a[c]],!0)});return this});var H=0;h.extend(m.ext.buttons,{selected:{text:A("selected","Selected"),className:"buttons-selected",limitTo:["rows","columns","cells"],init:function(a,b,c){var d=this;c._eventNamespace=".select"+H++;a.on(F(c),function(){d.enable(P(a,c))});this.disable()},destroy:function(a,b,c){a.off(c._eventNamespace)}},selectedSingle:{text:A("selectedSingle","Selected single"),
+className:"buttons-selected-single",init:function(a,b,c){var d=this;c._eventNamespace=".select"+H++;a.on(F(c),function(){var e=a.rows({selected:!0}).flatten().length+a.columns({selected:!0}).flatten().length+a.cells({selected:!0}).flatten().length;d.enable(1===e)});this.disable()},destroy:function(a,b,c){a.off(c._eventNamespace)}},selectAll:{text:A("selectAll","Select all"),className:"buttons-select-all",action:function(){this[this.select.items()+"s"]().select()}},selectNone:{text:A("selectNone",
+"Deselect all"),className:"buttons-select-none",action:function(){z(this.settings()[0],!0)},init:function(a,b,c){var d=this;c._eventNamespace=".select"+H++;a.on(F(c),function(){var e=a.rows({selected:!0}).flatten().length+a.columns({selected:!0}).flatten().length+a.cells({selected:!0}).flatten().length;d.enable(0<e)});this.disable()},destroy:function(a,b,c){a.off(c._eventNamespace)}}});h.each(["Row","Column","Cell"],function(a,b){var c=b.toLowerCase();m.ext.buttons["select"+b+"s"]={text:A("select"+
+b+"s","Select "+c+"s"),className:"buttons-select-"+c+"s",action:function(){this.select.items(c)},init:function(d){var e=this;d.on("selectItems.dt.DT",function(g,f,k){e.active(k===c)})}}});h(w).on("preInit.dt.dtSelect",function(a,b){"dt"===a.namespace&&m.select.init(new m.Api(b))});return m.select});
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/Select/js/select.dataTables.min.js
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/Select/js/select.dataTables.min.js	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/Select/js/select.dataTables.min.js	(revision 3761)
@@ -0,0 +1,5 @@
+/*!
+ DataTables styling wrapper for Select
+ Â©2018 SpryMedia Ltd - datatables.net/license
+*/
+(function(c){"function"===typeof define&&define.amd?define(["jquery","datatables.net-dt","datatables.net-select"],function(a){return c(a,window,document)}):"object"===typeof exports?module.exports=function(a,b){a||(a=window);b&&b.fn.dataTable||(b=require("datatables.net-dt")(a,b).$);b.fn.dataTable.select||require("datatables.net-select")(a,b);return c(b,a,a.document)}:c(jQuery,window,document)})(function(c,a,b,d){return c.fn.dataTable});
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/Select/js/select.foundation.min.js
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/Select/js/select.foundation.min.js	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/Select/js/select.foundation.min.js	(revision 3761)
@@ -0,0 +1,5 @@
+/*!
+ Foundation styling wrapper for Select
+ Â©2018 SpryMedia Ltd - datatables.net/license
+*/
+(function(c){"function"===typeof define&&define.amd?define(["jquery","datatables.net-zf","datatables.net-select"],function(a){return c(a,window,document)}):"object"===typeof exports?module.exports=function(a,b){a||(a=window);b&&b.fn.dataTable||(b=require("datatables.net-zf")(a,b).$);b.fn.dataTable.select||require("datatables.net-select")(a,b);return c(b,a,a.document)}:c(jQuery,window,document)})(function(c,a,b,d){return c.fn.dataTable});
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/Select/js/select.bootstrap.min.js
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/Select/js/select.bootstrap.min.js	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/Select/js/select.bootstrap.min.js	(revision 3761)
@@ -0,0 +1,5 @@
+/*!
+ Bootstrap 3 styling wrapper for Select
+ Â©2018 SpryMedia Ltd - datatables.net/license
+*/
+(function(c){"function"===typeof define&&define.amd?define(["jquery","datatables.net-bs","datatables.net-select"],function(a){return c(a,window,document)}):"object"===typeof exports?module.exports=function(a,b){a||(a=window);b&&b.fn.dataTable||(b=require("datatables.net-bs")(a,b).$);b.fn.dataTable.select||require("datatables.net-select")(a,b);return c(b,a,a.document)}:c(jQuery,window,document)})(function(c,a,b,d){return c.fn.dataTable});
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/Select/js/select.jqueryui.min.js
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/Select/js/select.jqueryui.min.js	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/Select/js/select.jqueryui.min.js	(revision 3761)
@@ -0,0 +1,5 @@
+/*!
+ jQuery UI styling wrapper for Select
+ Â©2018 SpryMedia Ltd - datatables.net/license
+*/
+(function(c){"function"===typeof define&&define.amd?define(["jquery","datatables.net-jqui","datatables.net-select"],function(a){return c(a,window,document)}):"object"===typeof exports?module.exports=function(a,b){a||(a=window);b&&b.fn.dataTable||(b=require("datatables.net-jqui")(a,b).$);b.fn.dataTable.select||require("datatables.net-select")(a,b);return c(b,a,a.document)}:c(jQuery,window,document)})(function(c,a,b,d){return c.fn.dataTable});
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/ColReorder/css/colReorder.bootstrap4.min.css
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/ColReorder/css/colReorder.bootstrap4.min.css	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/ColReorder/css/colReorder.bootstrap4.min.css	(revision 3761)
@@ -0,0 +1 @@
+table.DTCR_clonedTable.dataTable{position:absolute !important;background-color:rgba(255, 255, 255, 0.7);z-index:202}div.DTCR_pointer{width:1px;background-color:#0275d8;z-index:201}
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/ColReorder/css/colReorder.semanticui.min.css
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/ColReorder/css/colReorder.semanticui.min.css	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/ColReorder/css/colReorder.semanticui.min.css	(revision 3761)
@@ -0,0 +1 @@
+table.DTCR_clonedTable.dataTable{position:absolute !important;background-color:rgba(255, 255, 255, 0.7);z-index:202}div.DTCR_pointer{width:1px;background-color:#888;z-index:201}
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/ColReorder/css/colReorder.bootstrap5.min.css
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/ColReorder/css/colReorder.bootstrap5.min.css	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/ColReorder/css/colReorder.bootstrap5.min.css	(revision 3761)
@@ -0,0 +1 @@
+table.DTCR_clonedTable.dataTable{position:absolute !important;background-color:rgba(255, 255, 255, 0.7);z-index:202}div.DTCR_pointer{width:1px;background-color:#0d6efd;z-index:201}
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/ColReorder/css/colReorder.dataTables.min.css
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/ColReorder/css/colReorder.dataTables.min.css	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/ColReorder/css/colReorder.dataTables.min.css	(revision 3761)
@@ -0,0 +1 @@
+table.DTCR_clonedTable.dataTable{position:absolute !important;background-color:rgba(255, 255, 255, 0.7);z-index:202}div.DTCR_pointer{width:1px;background-color:#0259c4;z-index:201}
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/ColReorder/css/colReorder.foundation.min.css
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/ColReorder/css/colReorder.foundation.min.css	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/ColReorder/css/colReorder.foundation.min.css	(revision 3761)
@@ -0,0 +1 @@
+table.DTCR_clonedTable.dataTable{position:absolute !important;background-color:rgba(255, 255, 255, 0.7);z-index:202}div.DTCR_pointer{width:1px;background-color:#008cba;z-index:201}
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/ColReorder/css/colReorder.bootstrap.min.css
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/ColReorder/css/colReorder.bootstrap.min.css	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/ColReorder/css/colReorder.bootstrap.min.css	(revision 3761)
@@ -0,0 +1 @@
+table.DTCR_clonedTable.dataTable{position:absolute !important;background-color:rgba(255, 255, 255, 0.7);z-index:202}div.DTCR_pointer{width:1px;background-color:#337ab7;z-index:201}
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/ColReorder/css/colReorder.jqueryui.min.css
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/ColReorder/css/colReorder.jqueryui.min.css	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/ColReorder/css/colReorder.jqueryui.min.css	(revision 3761)
@@ -0,0 +1 @@
+table.DTCR_clonedTable.dataTable{position:absolute !important;background-color:rgba(255, 255, 255, 0.7);z-index:202}div.DTCR_pointer{width:1px;background-color:#0259c4;z-index:201}
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/ColReorder/css/colReorder.bulma.min.css
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/ColReorder/css/colReorder.bulma.min.css	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/ColReorder/css/colReorder.bulma.min.css	(revision 3761)
@@ -0,0 +1 @@
+table.DTCR_clonedTable.dataTable{position:absolute !important;background-color:rgba(255, 255, 255, 0.7);z-index:202}div.DTCR_pointer{width:1px;background-color:#00d1b2;z-index:201}
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/FixedColumns/css/fixedColumns.bootstrap.min.css
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/FixedColumns/css/fixedColumns.bootstrap.min.css	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/FixedColumns/css/fixedColumns.bootstrap.min.css	(revision 3761)
@@ -0,0 +1 @@
+table.dataTable thead tr>.dtfc-fixed-left,table.dataTable thead tr>.dtfc-fixed-right{z-index:1;background-color:white}table.dataTable tbody tr>.dtfc-fixed-left,table.dataTable tbody tr>.dtfc-fixed-right{z-index:1;background-color:white}div.dtfc-left-top-blocker,div.dtfc-right-top-blocker{background-color:white}div.dtfc-right-top-blocker,div.dtfc-left-top-blocker{margin-top:6px;border-bottom:0px solid #ddd !important}table.dataTable.table-bordered.dtfc-has-left{border-left:none}div.dataTables_scroll.dtfc-has-left table.table-bordered{border-left:none}div.dataTables_scrollBody{border-left:1px solid #ddd !important}div.dataTables_scrollFootInner table.table-bordered tr th:first-child,div.dataTables_scrollHeadInner table.table-bordered tr th:first-child{border-left:1px solid #ddd !important}
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/FixedColumns/css/fixedColumns.jqueryui.min.css
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/FixedColumns/css/fixedColumns.jqueryui.min.css	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/FixedColumns/css/fixedColumns.jqueryui.min.css	(revision 3761)
@@ -0,0 +1 @@
+table.dataTable thead tr>.dtfc-fixed-left,table.dataTable thead tr>.dtfc-fixed-right{z-index:1;background-color:white}table.dataTable tbody tr>.dtfc-fixed-left,table.dataTable tbody tr>.dtfc-fixed-right{z-index:1;background-color:white}div.dtfc-left-top-blocker,div.dtfc-right-top-blocker{background-color:white}div.dtfc-right-top-blocker{border-bottom:none !important;background-color:#f6f6f6 !important;border-top:1px solid #c5c5c5 !important}tr.dt-rowReorder-moving td.dtfc-fixed-left,tr.dt-rowReorder-moving td.dtfc-fixed-right{border-top:2px solid #555 !important;border-bottom:2px solid #555 !important}tr.dt-rowReorder-moving td.dtfc-fixed-left:first-child{border-left:2px solid #555 !important}tr.dt-rowReorder-moving td.dtfc-fixed-right:last-child{border-right:2px solid #555 !important}
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/FixedColumns/css/fixedColumns.bulma.min.css
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/FixedColumns/css/fixedColumns.bulma.min.css	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/FixedColumns/css/fixedColumns.bulma.min.css	(revision 3761)
@@ -0,0 +1 @@
+table.dataTable thead tr>.dtfc-fixed-left,table.dataTable thead tr>.dtfc-fixed-right{z-index:1;background-color:white}table.dataTable tbody tr>.dtfc-fixed-left,table.dataTable tbody tr>.dtfc-fixed-right{z-index:1;background-color:white}div.dtfc-left-top-blocker,div.dtfc-right-top-blocker{background-color:white}div.dtfc-right-top-blocker{border-bottom:none !important}tr.dt-rowReorder-moving td.dtfc-fixed-left,tr.dt-rowReorder-moving td.dtfc-fixed-right{border-top:2px solid #888 !important;border-bottom:2px solid #888 !important}tr.dt-rowReorder-moving td.dtfc-fixed-left:first-child{border-left:2px solid #888 !important}tr.dt-rowReorder-moving td.dtfc-fixed-right:last-child{border-right:2px solid #888 !important}
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/FixedColumns/css/fixedColumns.bootstrap4.min.css
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/FixedColumns/css/fixedColumns.bootstrap4.min.css	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/FixedColumns/css/fixedColumns.bootstrap4.min.css	(revision 3761)
@@ -0,0 +1 @@
+table.dataTable thead tr>.dtfc-fixed-left,table.dataTable thead tr>.dtfc-fixed-right{z-index:1;background-color:white}table.dataTable tbody tr>.dtfc-fixed-left,table.dataTable tbody tr>.dtfc-fixed-right{z-index:1;background-color:white}div.dtfc-left-top-blocker,div.dtfc-right-top-blocker{background-color:white}div.dtfc-right-top-blocker,div.dtfc-left-top-blocker{margin-top:6px;border-bottom:0px solid #ddd !important}table.dataTable.table-bordered.dtfc-has-left{border-left:none}div.dataTables_scroll.dtfc-has-left table.table-bordered{border-left:none}div.dataTables_scrollBody{border-left:1px solid #ddd !important}div.dataTables_scrollFootInner table.table-bordered tr th:first-child,div.dataTables_scrollHeadInner table.table-bordered tr th:first-child{border-left:1px solid #ddd !important}
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/FixedColumns/css/fixedColumns.semanticui.min.css
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/FixedColumns/css/fixedColumns.semanticui.min.css	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/FixedColumns/css/fixedColumns.semanticui.min.css	(revision 3761)
@@ -0,0 +1 @@
+table.dataTable thead tr>.dtfc-fixed-left,table.dataTable thead tr>.dtfc-fixed-right{z-index:1;background-color:white}table.dataTable tbody tr>.dtfc-fixed-left,table.dataTable tbody tr>.dtfc-fixed-right{z-index:1;background-color:white}div.dtfc-left-top-blocker,div.dtfc-right-top-blocker{background-color:white}table.dataTable{border-left-width:0px !important}table.dataTable tr{border-left-width:0px}table.dataTable tr th:first-child,table.dataTable tr td:first-child{border-left:1px solid rgba(34, 36, 38, 0.15) !important}div.dtfc-right-top-blocker{border-bottom:none !important}tr.dt-rowReorder-moving td.dtfc-fixed-left,tr.dt-rowReorder-moving td.dtfc-fixed-right{border-top:2px solid #888 !important;border-bottom:2px solid #888 !important}tr.dt-rowReorder-moving td.dtfc-fixed-left:first-child{border-left:2px solid #888 !important}tr.dt-rowReorder-moving td.dtfc-fixed-right:last-child{border-right:2px solid #888 !important}
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/FixedColumns/css/fixedColumns.bootstrap5.min.css
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/FixedColumns/css/fixedColumns.bootstrap5.min.css	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/FixedColumns/css/fixedColumns.bootstrap5.min.css	(revision 3761)
@@ -0,0 +1 @@
+table.dataTable thead tr>.dtfc-fixed-left,table.dataTable thead tr>.dtfc-fixed-right{z-index:1;background-color:white}table.dataTable tbody tr>.dtfc-fixed-left,table.dataTable tbody tr>.dtfc-fixed-right{z-index:1;background-color:white}div.dtfc-left-top-blocker,div.dtfc-right-top-blocker{background-color:white}div.dtfc-right-top-blocker,div.dtfc-left-top-blocker{margin-top:6px;border-bottom:0px solid #ddd !important}table.dataTable.table-bordered.dtfc-has-left{border-left:none}div.dataTables_scroll.dtfc-has-left table.table-bordered{border-left:none}div.dataTables_scrollBody{border-left:1px solid #ddd !important}div.dataTables_scrollFootInner table.table-bordered tr th:first-child,div.dataTables_scrollHeadInner table.table-bordered tr th:first-child{border-left:1px solid #ddd !important}
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/FixedColumns/css/fixedColumns.dataTables.min.css
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/FixedColumns/css/fixedColumns.dataTables.min.css	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/FixedColumns/css/fixedColumns.dataTables.min.css	(revision 3761)
@@ -0,0 +1 @@
+table.dataTable thead tr>.dtfc-fixed-left,table.dataTable thead tr>.dtfc-fixed-right{z-index:1;background-color:white}table.dataTable tbody tr>.dtfc-fixed-left,table.dataTable tbody tr>.dtfc-fixed-right{z-index:1;background-color:white}div.dtfc-left-top-blocker,div.dtfc-right-top-blocker{background-color:white}
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/FixedColumns/css/fixedColumns.foundation.min.css
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/FixedColumns/css/fixedColumns.foundation.min.css	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/FixedColumns/css/fixedColumns.foundation.min.css	(revision 3761)
@@ -0,0 +1 @@
+table.dataTable thead tr>.dtfc-fixed-left,table.dataTable thead tr>.dtfc-fixed-right{z-index:1;background-color:#f8f8f8}table.dataTable tbody tr>.dtfc-fixed-left,table.dataTable tbody tr>.dtfc-fixed-right{z-index:1;background-color:white}div.dtfc-left-top-blocker,div.dtfc-right-top-blocker{background-color:#f8f8f8}table.dataTable.dtfc-has-left tbody{border-left:none}
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/FixedColumns/js/fixedColumns.bootstrap.min.js
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/FixedColumns/js/fixedColumns.bootstrap.min.js	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/FixedColumns/js/fixedColumns.bootstrap.min.js	(revision 3761)
@@ -0,0 +1 @@
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Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/FixedColumns/js/fixedColumns.jqueryui.min.js
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/FixedColumns/js/fixedColumns.jqueryui.min.js	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/FixedColumns/js/fixedColumns.jqueryui.min.js	(revision 3761)
@@ -0,0 +1,5 @@
+/*!
+ jquery ui integration for DataTables' FixedColumns
+ Â©2016 SpryMedia Ltd - datatables.net/license
+*/
+(function(c){"function"===typeof define&&define.amd?define(["jquery","datatables.net-ju","datatables.net-fixedcolumns"],function(b){return c(b)}):"object"===typeof exports?module.exports=function(b,a){b||(b=window);a&&a.fn.dataTable||(a=require("datatables.net-ju")(b,a).$);a.fn.dataTable.SearchPanes||require("datatables.net-fixedcolumns")(b,a);return c(a)}:c(jQuery)})(function(c){return c.fn.dataTable.fixedColumns});
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/FixedColumns/js/fixedColumns.bulma.min.js
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/FixedColumns/js/fixedColumns.bulma.min.js	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/FixedColumns/js/fixedColumns.bulma.min.js	(revision 3761)
@@ -0,0 +1,5 @@
+/*!
+ Bulma integration for DataTables' FixedColumns
+ Â©2016 SpryMedia Ltd - datatables.net/license
+*/
+(function(c){"function"===typeof define&&define.amd?define(["jquery","datatables.net-bm","datatables.net-fixedcolumns"],function(b){return c(b)}):"object"===typeof exports?module.exports=function(b,a){b||(b=window);a&&a.fn.dataTable||(a=require("datatables.net-bm")(b,a).$);a.fn.dataTable.SearchPanes||require("datatables.net-fixedcolumns")(b,a);return c(a)}:c(jQuery)})(function(c){return c.fn.dataTable.fixedColumns});
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/FixedColumns/js/fixedColumns.bootstrap4.min.js
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/FixedColumns/js/fixedColumns.bootstrap4.min.js	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/FixedColumns/js/fixedColumns.bootstrap4.min.js	(revision 3761)
@@ -0,0 +1,5 @@
+/*!
+ Bootstrap 4 integration for DataTables' FixedColumns
+ Â©2016 SpryMedia Ltd - datatables.net/license
+*/
+(function(c){"function"===typeof define&&define.amd?define(["jquery","datatables.net-bs4","datatables.net-fixedcolumns"],function(b){return c(b)}):"object"===typeof exports?module.exports=function(b,a){b||(b=window);a&&a.fn.dataTable||(a=require("datatables.net-bs4")(b,a).$);a.fn.dataTable.SearchPanes||require("datatables.net-fixedcolumns")(b,a);return c(a)}:c(jQuery)})(function(c){return c.fn.dataTable.fixedColumns});
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/FixedColumns/js/fixedColumns.semanticui.min.js
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/FixedColumns/js/fixedColumns.semanticui.min.js	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/FixedColumns/js/fixedColumns.semanticui.min.js	(revision 3761)
@@ -0,0 +1,5 @@
+/*!
+ Semantic ui integration for DataTables' FixedColumns
+ Â©2016 SpryMedia Ltd - datatables.net/license
+*/
+(function(c){"function"===typeof define&&define.amd?define(["jquery","datatables.net-se","datatables.net-fixedcolumns"],function(b){return c(b)}):"object"===typeof exports?module.exports=function(b,a){b||(b=window);a&&a.fn.dataTable||(a=require("datatables.net-se")(b,a).$);a.fn.dataTable.SearchPanes||require("datatables.net-fixedcolumns")(b,a);return c(a)}:c(jQuery)})(function(c){return c.fn.dataTable.fixedColumns});
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/FixedColumns/js/fixedColumns.bootstrap5.min.js
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/FixedColumns/js/fixedColumns.bootstrap5.min.js	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/FixedColumns/js/fixedColumns.bootstrap5.min.js	(revision 3761)
@@ -0,0 +1,5 @@
+/*!
+ Bootstrap 5 integration for DataTables' FixedColumns
+ Â©2016 SpryMedia Ltd - datatables.net/license
+*/
+(function(c){"function"===typeof define&&define.amd?define(["jquery","datatables.net-bs5","datatables.net-fixedcolumns"],function(b){return c(b)}):"object"===typeof exports?module.exports=function(b,a){b||(b=window);a&&a.fn.dataTable||(a=require("datatables.net-bs5")(b,a).$);a.fn.dataTable.SearchPanes||require("datatables.net-fixedcolumns")(b,a);return c(a)}:c(jQuery)})(function(c){return c.fn.dataTable.fixedColumns});
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/FixedColumns/js/dataTables.fixedColumns.min.js
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/FixedColumns/js/dataTables.fixedColumns.min.js	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/FixedColumns/js/dataTables.fixedColumns.min.js	(revision 3761)
@@ -0,0 +1,40 @@
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+ 2019-2022 SpryMedia Ltd - datatables.net/license
+*/
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+this.head_.previous.next=f.entry,this.head_.previous=f.entry,this.size++);return this};e.prototype.delete=function(c){c=d(this,c);return c.entry&&c.list?(c.list.splice(c.index,1),c.list.length||delete this.data_[c.id],c.entry.previous.next=c.entry.next,c.entry.next.previous=c.entry.previous,c.entry.head=null,this.size--,!0):!1};e.prototype.clear=function(){this.data_={};this.head_=this.head_.previous=m();this.size=0};e.prototype.has=function(c){return!!d(this,c).entry};e.prototype.get=function(c){return(c=
+d(this,c).entry)&&c.value};e.prototype.entries=function(){return g(this,function(c){return[c.key,c.value]})};e.prototype.keys=function(){return g(this,function(c){return c.key})};e.prototype.values=function(){return g(this,function(c){return c.value})};e.prototype.forEach=function(c,b){for(var f=this.entries(),l;!(l=f.next()).done;)l=l.value,c.call(b,l[1],l[0],this)};e.prototype[Symbol.iterator]=e.prototype.entries;var d=function(c,b){var f=b&&typeof b;"object"==f||"function"==f?k.has(b)?f=k.get(b):
+(f=""+ ++n,k.set(b,f)):f="p_"+b;var l=c.data_[f];if(l&&$jscomp.owns(c.data_,f))for(c=0;c<l.length;c++){var u=l[c];if(b!==b&&u.key!==u.key||b===u.key)return{id:f,list:l,index:c,entry:u}}return{id:f,list:l,index:-1,entry:void 0}},g=function(c,b){var f=c.head_;return $jscomp.iteratorPrototype(function(){if(f){for(;f.head!=c.head_;)f=f.previous;for(;f.next!=f.head;)return f=f.next,{done:!1,value:b(f)};f=null}return{done:!0,value:void 0}})},m=function(){var c={};return c.previous=c.next=c.head=c},n=0;
+return e},"es6","es3");
+(function(){var a,h,k=function(){function e(d,g){var m=this;if(!h||!h.versionCheck||!h.versionCheck("1.10.0"))throw Error("StateRestore requires DataTables 1.10 or newer");d=new h.Api(d);this.classes=a.extend(!0,{},e.classes);this.c=a.extend(!0,{},e.defaults,g);g&&void 0!==g.left||void 0===this.c.leftColumns||(this.c.left=this.c.leftColumns);g&&void 0!==g.right||void 0===this.c.rightColumns||(this.c.right=this.c.rightColumns);this.s={barWidth:0,dt:d,rtl:"rtl"===a("body").css("direction")};g={bottom:"0px",
+display:"block",position:"absolute",width:this.s.barWidth+1+"px"};this.dom={leftBottomBlocker:a("<div>").css(g).css("left",0).addClass(this.classes.leftBottomBlocker),leftTopBlocker:a("<div>").css(g).css({left:0,top:0}).addClass(this.classes.leftTopBlocker),rightBottomBlocker:a("<div>").css(g).css("right",0).addClass(this.classes.rightBottomBlocker),rightTopBlocker:a("<div>").css(g).css({right:0,top:0}).addClass(this.classes.rightTopBlocker)};if(this.s.dt.settings()[0]._bInitComplete)this._addStyles(),
+this._setKeyTableListener();else d.one("init.dt",function(){m._addStyles();m._setKeyTableListener()});d.on("column-sizing.dt",function(){return m._addStyles()});d.settings()[0]._fixedColumns=this;return this}e.prototype.left=function(d){void 0!==d&&(this.c.left=d,this._addStyles());return this.c.left};e.prototype.right=function(d){void 0!==d&&(this.c.right=d,this._addStyles());return this.c.right};e.prototype._addStyles=function(){if(this.s.dt.settings()[0].oScroll.sY){var d=a(this.s.dt.table().node()).closest("div.dataTables_scrollBody")[0],
+g=this.s.dt.settings()[0].oBrowser.barWidth;this.s.barWidth=d.offsetWidth-d.clientWidth>=g?g:0;this.dom.rightTopBlocker.css("width",this.s.barWidth+1);this.dom.leftTopBlocker.css("width",this.s.barWidth+1);this.dom.rightBottomBlocker.css("width",this.s.barWidth+1);this.dom.leftBottomBlocker.css("width",this.s.barWidth+1)}d=null;g=this.s.dt.column(0).header();var m=null;null!==g&&(g=a(g),m=g.outerHeight()+1,d=a(g.closest("div.dataTables_scroll")).css("position","relative"));var n=this.s.dt.column(0).footer(),
+c=null;null!==n&&(n=a(n),c=n.outerHeight(),null===d&&(d=a(n.closest("div.dataTables_scroll")).css("position","relative")));for(var b=this.s.dt.columns().data().toArray().length,f=0,l=0,u=a(this.s.dt.table().node()).children("tbody").children("tr"),x=0,A=new Map,r=0;r<b;r++){var t=this.s.dt.column(r);0<r&&A.set(r-1,x);if(t.visible()){var y=a(t.header());t=a(t.footer());if(r-x<this.c.left){a(this.s.dt.table().node()).addClass(this.classes.tableFixedLeft);d.addClass(this.classes.tableFixedLeft);if(0<
+r-x)for(var p=r;p+1<b;){var q=this.s.dt.column(p-1,{page:"current"});if(q.visible()){f+=a(q.nodes()[0]).outerWidth();l+=q.header()?a(q.header()).outerWidth():q.footer()?a(q.header()).outerWidth():0;break}p--}for(var v=0,w=u;v<w.length;v++)p=w[v],a(a(p).children()[r-x]).css(this._getCellCSS(!1,f,"left")).addClass(this.classes.fixedLeft);y.css(this._getCellCSS(!0,l,"left")).addClass(this.classes.fixedLeft);t.css(this._getCellCSS(!0,l,"left")).addClass(this.classes.fixedLeft)}else{v=0;for(w=u;v<w.length;v++)p=
+w[v],p=a(a(p).children()[r-x]),p.hasClass(this.classes.fixedLeft)&&p.css(this._clearCellCSS("left")).removeClass(this.classes.fixedLeft);y.hasClass(this.classes.fixedLeft)&&y.css(this._clearCellCSS("left")).removeClass(this.classes.fixedLeft);t.hasClass(this.classes.fixedLeft)&&t.css(this._clearCellCSS("left")).removeClass(this.classes.fixedLeft)}}else x++}null===g||g.hasClass("index")||(this.s.rtl?(this.dom.leftTopBlocker.outerHeight(m),d.append(this.dom.leftTopBlocker)):(this.dom.rightTopBlocker.outerHeight(m),
+d.append(this.dom.rightTopBlocker)));null===n||n.hasClass("index")||(this.s.rtl?(this.dom.leftBottomBlocker.outerHeight(c),d.append(this.dom.leftBottomBlocker)):(this.dom.rightBottomBlocker.outerHeight(c),d.append(this.dom.rightBottomBlocker)));v=l=f=0;for(r=b-1;0<=r;r--)if(t=this.s.dt.column(r),t.visible())if(y=a(t.header()),t=a(t.footer()),w=A.get(r),void 0===w&&(w=x),r+v>=b-this.c.right){a(this.s.dt.table().node()).addClass(this.classes.tableFixedRight);d.addClass(this.classes.tableFixedRight);
+if(r+1+v<b)for(p=r;p+1<b;){q=this.s.dt.column(p+1,{page:"current"});if(q.visible()){f+=a(q.nodes()[0]).outerWidth();l+=q.header()?a(q.header()).outerWidth():q.footer()?a(q.header()).outerWidth():0;break}p++}q=0;for(var z=u;q<z.length;q++)p=z[q],a(a(p).children()[r-w]).css(this._getCellCSS(!1,f,"right")).addClass(this.classes.fixedRight);y.css(this._getCellCSS(!0,l,"right")).addClass(this.classes.fixedRight);t.css(this._getCellCSS(!0,l,"right")).addClass(this.classes.fixedRight)}else{q=0;for(z=u;q<
+z.length;q++)p=z[q],p=a(a(p).children()[r-w]),p.hasClass(this.classes.fixedRight)&&p.css(this._clearCellCSS("right")).removeClass(this.classes.fixedRight);y.hasClass(this.classes.fixedRight)&&y.css(this._clearCellCSS("right")).removeClass(this.classes.fixedRight);t.hasClass(this.classes.fixedRight)&&t.css(this._clearCellCSS("right")).removeClass(this.classes.fixedRight)}else v++;g&&(this.s.rtl?(this.dom.leftTopBlocker.outerHeight(m),d.append(this.dom.leftTopBlocker)):(this.dom.rightTopBlocker.outerHeight(m),
+d.append(this.dom.rightTopBlocker)));n&&(this.s.rtl?(this.dom.leftBottomBlocker.outerHeight(c),d.append(this.dom.leftBottomBlocker)):(this.dom.rightBottomBlocker.outerHeight(c),d.append(this.dom.rightBottomBlocker)))};e.prototype._getCellCSS=function(d,g,m){return"left"===m?this.s.rtl?{position:"sticky",right:g+"px"}:{left:g+"px",position:"sticky"}:this.s.rtl?{left:g+(d?this.s.barWidth:0)+"px",position:"sticky"}:{position:"sticky",right:g+(d?this.s.barWidth:0)+"px"}};e.prototype._clearCellCSS=function(d){return"left"===
+d?this.s.rtl?{position:"",right:""}:{left:"",position:""}:this.s.rtl?{left:"",position:""}:{position:"",right:""}};e.prototype._setKeyTableListener=function(){var d=this;this.s.dt.on("key-focus",function(g,m,n){g=a(n.node()).offset();m=a(a(d.s.dt.table().node()).closest("div.dataTables_scrollBody"));if(0<d.c.left){var c=a(d.s.dt.column(d.c.left-1).header()),b=c.offset(),f=c.outerWidth();g.left<b.left+f&&(c=m.scrollLeft(),m.scrollLeft(c-(b.left+f-g.left)))}0<d.c.right&&(c=d.s.dt.columns().data().toArray().length,
+n=a(n.node()).outerWidth(),b=a(d.s.dt.column(c-d.c.right).header()).offset(),g.left+n>b.left&&(c=m.scrollLeft(),m.scrollLeft(c-(b.left-(g.left+n)))))});this.s.dt.on("draw",function(){d._addStyles()});this.s.dt.on("column-reorder",function(){d._addStyles()});this.s.dt.on("column-visibility",function(g,m,n,c,b){b&&!m.bDestroying&&setTimeout(function(){d._addStyles()},50)})};e.version="4.1.0";e.classes={fixedLeft:"dtfc-fixed-left",fixedRight:"dtfc-fixed-right",leftBottomBlocker:"dtfc-left-bottom-blocker",
+leftTopBlocker:"dtfc-left-top-blocker",rightBottomBlocker:"dtfc-right-bottom-blocker",rightTopBlocker:"dtfc-right-top-blocker",tableFixedLeft:"dtfc-has-left",tableFixedRight:"dtfc-has-right"};e.defaults={i18n:{button:"FixedColumns"},left:1,right:0};return e}();(function(e){"function"===typeof define&&define.amd?define(["jquery","datatables.net"],function(d){return e(d,window,document)}):"object"===typeof exports?module.exports=function(d,g){d||(d=window);g&&g.fn.dataTable||(g=require("datatables.net")(d,
+g).$);return e(g,d,d.document)}:e(window.jQuery,window,document)})(function(e,d,g){function m(c,b){void 0===b&&(b=null);c=new n.Api(c);b=b?b:c.init().fixedColumns||n.defaults.fixedColumns;return new k(c,b)}a=e;h=a.fn.dataTable;var n=e.fn.dataTable;e.fn.dataTable.FixedColumns=k;e.fn.DataTable.FixedColumns=k;d=e.fn.dataTable.Api.register;d("fixedColumns()",function(){return this});d("fixedColumns().left()",function(c){var b=this.context[0];return void 0!==c?(b._fixedColumns.left(c),this):b._fixedColumns.left()});
+d("fixedColumns().right()",function(c){var b=this.context[0];return void 0!==c?(b._fixedColumns.right(c),this):b._fixedColumns.right()});e.fn.dataTable.ext.buttons.fixedColumns={action:function(c,b,f,l){e(f).attr("active")?(e(f).removeAttr("active").removeClass("active"),b.fixedColumns().left(0),b.fixedColumns().right(0)):(e(f).attr("active",!0).addClass("active"),b.fixedColumns().left(l.config.left),b.fixedColumns().right(l.config.right))},config:{left:1,right:0},init:function(c,b,f){void 0===c.settings()[0]._fixedColumns&&
+m(c.settings(),f);e(b).attr("active",!0).addClass("active");c.button(b).text(f.text||c.i18n("buttons.fixedColumns",c.settings()[0]._fixedColumns.c.i18n.button))},text:null};e(g).on("plugin-init.dt",function(c,b){"dt"===c.namespace&&(b.oInit.fixedColumns||n.defaults.fixedColumns)&&(b._fixedColumns||m(b,null))})})})();
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/FixedColumns/js/fixedColumns.dataTables.min.js
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/FixedColumns/js/fixedColumns.dataTables.min.js	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/FixedColumns/js/fixedColumns.dataTables.min.js	(revision 3761)
@@ -0,0 +1,5 @@
+/*!
+ DataTables integration for DataTables' FixedColumns
+ Â©2016 SpryMedia Ltd - datatables.net/license
+*/
+(function(c){"function"===typeof define&&define.amd?define(["jquery","datatables.net-dt","datatables.net-fixedcolumns"],function(b){return c(b)}):"object"===typeof exports?module.exports=function(b,a){b||(b=window);a&&a.fn.dataTable||(a=require("datatables.net-dt")(b,a).$);a.fn.dataTable.FixedColumns||require("datatables.net-fixedcolumns")(b,a);return c(a)}:c(jQuery)})(function(c){return c.fn.dataTable.fixedColumns});
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/FixedColumns/js/fixedColumns.foundation.min.js
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/FixedColumns/js/fixedColumns.foundation.min.js	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/FixedColumns/js/fixedColumns.foundation.min.js	(revision 3761)
@@ -0,0 +1,5 @@
+/*!
+ Foundation integration for DataTables' FixedColumns
+ Â©2016 SpryMedia Ltd - datatables.net/license
+*/
+(function(c){"function"===typeof define&&define.amd?define(["jquery","datatables.net-zf","datatables.net-fixedcolumns"],function(b){return c(b)}):"object"===typeof exports?module.exports=function(b,a){b||(b=window);a&&a.fn.dataTable||(a=require("datatables.net-zf")(b,a).$);a.fn.dataTable.SearchPanes||require("datatables.net-fixedcolumns")(b,a);return c(a)}:c(jQuery)})(function(c){return c.fn.dataTable.fixedColumns});
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/KeyTable/css/keyTable.foundation.min.css
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/KeyTable/css/keyTable.foundation.min.css	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/KeyTable/css/keyTable.foundation.min.css	(revision 3761)
@@ -0,0 +1 @@
+table.dataTable tbody th.focus,table.dataTable tbody td.focus{outline:2px solid #008cba;outline-offset:-2px}div.dtk-focus-alt table.dataTable tbody th.focus,div.dtk-focus-alt table.dataTable tbody td.focus{outline:2px solid #ff8b33;outline-offset:-2px}
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/KeyTable/css/keyTable.bootstrap.min.css
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/KeyTable/css/keyTable.bootstrap.min.css	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/KeyTable/css/keyTable.bootstrap.min.css	(revision 3761)
@@ -0,0 +1 @@
+table.dataTable tbody th.focus,table.dataTable tbody td.focus{outline:2px solid #337ab7;outline-offset:-2px}div.dtk-focus-alt table.dataTable tbody th.focus,div.dtk-focus-alt table.dataTable tbody td.focus{outline:2px solid #ff8b33;outline-offset:-2px}
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/KeyTable/css/keyTable.jqueryui.min.css
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/KeyTable/css/keyTable.jqueryui.min.css	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/KeyTable/css/keyTable.jqueryui.min.css	(revision 3761)
@@ -0,0 +1 @@
+table.dataTable tbody th.focus,table.dataTable tbody td.focus{outline:2px solid #36f;outline-offset:-2px}div.dtk-focus-alt table.dataTable tbody th.focus,div.dtk-focus-alt table.dataTable tbody td.focus{outline:2px solid #ff8b33;outline-offset:-2px}
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/KeyTable/css/keyTable.bulma.min.css
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/KeyTable/css/keyTable.bulma.min.css	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/KeyTable/css/keyTable.bulma.min.css	(revision 3761)
@@ -0,0 +1 @@
+table.dataTable tbody th.focus,table.dataTable tbody td.focus{outline:2px solid #00d1b2;outline-offset:-2px}div.dtk-focus-alt table.dataTable tbody th.focus,div.dtk-focus-alt table.dataTable tbody td.focus{outline:2px solid #ff8b33;outline-offset:-2px}
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/KeyTable/css/keyTable.bootstrap4.min.css
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/KeyTable/css/keyTable.bootstrap4.min.css	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/KeyTable/css/keyTable.bootstrap4.min.css	(revision 3761)
@@ -0,0 +1 @@
+table.dataTable tbody th.focus,table.dataTable tbody td.focus{outline:2px solid #0275d8;outline-offset:-2px}div.dtk-focus-alt table.dataTable tbody th.focus,div.dtk-focus-alt table.dataTable tbody td.focus{outline:2px solid #ff8b33;outline-offset:-2px}
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/KeyTable/css/keyTable.semanticui.min.css
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/KeyTable/css/keyTable.semanticui.min.css	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/KeyTable/css/keyTable.semanticui.min.css	(revision 3761)
@@ -0,0 +1 @@
+table.dataTable tbody th.focus,table.dataTable tbody td.focus{outline:2px solid #888;outline-offset:-2px}div.dtk-focus-alt table.dataTable tbody th.focus,div.dtk-focus-alt table.dataTable tbody td.focus{outline:2px solid #ff8b33;outline-offset:-2px}
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/KeyTable/css/keyTable.bootstrap5.min.css
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/KeyTable/css/keyTable.bootstrap5.min.css	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/KeyTable/css/keyTable.bootstrap5.min.css	(revision 3761)
@@ -0,0 +1 @@
+table.dataTable tbody th.focus,table.dataTable tbody td.focus{outline:2px solid #0d6efd;outline-offset:-2px}div.dtk-focus-alt table.dataTable tbody th.focus,div.dtk-focus-alt table.dataTable tbody td.focus{outline:2px solid #ff8b33;outline-offset:-2px}
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/KeyTable/css/keyTable.dataTables.min.css
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/KeyTable/css/keyTable.dataTables.min.css	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/KeyTable/css/keyTable.dataTables.min.css	(revision 3761)
@@ -0,0 +1 @@
+table.dataTable tbody th.focus,table.dataTable tbody td.focus{outline:2px solid #36f;outline-offset:-2px}div.dtk-focus-alt table.dataTable tbody th.focus,div.dtk-focus-alt table.dataTable tbody td.focus{outline:2px solid #ff8b33;outline-offset:-2px}
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/KeyTable/js/keyTable.bootstrap4.min.js
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/KeyTable/js/keyTable.bootstrap4.min.js	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/KeyTable/js/keyTable.bootstrap4.min.js	(revision 3761)
@@ -0,0 +1,5 @@
+/*!
+ Bootstrap 4 styling wrapper for KeyTable
+ Â©2018 SpryMedia Ltd - datatables.net/license
+*/
+(function(c){"function"===typeof define&&define.amd?define(["jquery","datatables.net-bs4","datatables.net-keytable"],function(a){return c(a,window,document)}):"object"===typeof exports?module.exports=function(a,b){a||(a=window);b&&b.fn.dataTable||(b=require("datatables.net-bs4")(a,b).$);b.fn.dataTable.KeyTable||require("datatables.net-keytable")(a,b);return c(b,a,a.document)}:c(jQuery,window,document)})(function(c,a,b,d){return c.fn.dataTable});
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/KeyTable/js/keyTable.semanticui.min.js
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/KeyTable/js/keyTable.semanticui.min.js	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/KeyTable/js/keyTable.semanticui.min.js	(revision 3761)
@@ -0,0 +1,5 @@
+/*!
+ Semanic UI styling wrapper for KeyTable
+ Â©2018 SpryMedia Ltd - datatables.net/license
+*/
+(function(c){"function"===typeof define&&define.amd?define(["jquery","datatables.net-se","datatables.net-keytable"],function(a){return c(a,window,document)}):"object"===typeof exports?module.exports=function(a,b){a||(a=window);b&&b.fn.dataTable||(b=require("datatables.net-se")(a,b).$);b.fn.dataTable.KeyTable||require("datatables.net-keytable")(a,b);return c(b,a,a.document)}:c(jQuery,window,document)})(function(c,a,b,d){return c.fn.dataTable});
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/KeyTable/js/keyTable.bootstrap5.min.js
===================================================================
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+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/KeyTable/js/keyTable.bootstrap5.min.js	(revision 3761)
@@ -0,0 +1,5 @@
+/*!
+ Bootstrap 5 styling wrapper for KeyTable
+ Â©2018 SpryMedia Ltd - datatables.net/license
+*/
+(function(c){"function"===typeof define&&define.amd?define(["jquery","datatables.net-bs5","datatables.net-keytable"],function(a){return c(a,window,document)}):"object"===typeof exports?module.exports=function(a,b){a||(a=window);b&&b.fn.dataTable||(b=require("datatables.net-bs5")(a,b).$);b.fn.dataTable.KeyTable||require("datatables.net-keytable")(a,b);return c(b,a,a.document)}:c(jQuery,window,document)})(function(c,a,b,d){return c.fn.dataTable});
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/KeyTable/js/dataTables.keyTable.min.js
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/KeyTable/js/dataTables.keyTable.min.js	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/KeyTable/js/dataTables.keyTable.min.js	(revision 3761)
@@ -0,0 +1,47 @@
+/*!
+   SpryMedia Ltd.
+
+ This source file is free software, available under the following license:
+   MIT license - http://datatables.net/license/mit
+
+ This source file is distributed in the hope that it will be useful, but
+ WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY
+ or FITNESS FOR A PARTICULAR PURPOSE. See the license files for details.
+
+ For details please refer to: http://www.datatables.net
+ KeyTable 2.7.0
+ Â©2009-2022 SpryMedia Ltd - datatables.net/license
+*/
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Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/KeyTable/js/keyTable.dataTables.min.js
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/KeyTable/js/keyTable.dataTables.min.js	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/KeyTable/js/keyTable.dataTables.min.js	(revision 3761)
@@ -0,0 +1,5 @@
+/*!
+ DataTables styling wrapper for KeyTable
+ Â©2018 SpryMedia Ltd - datatables.net/license
+*/
+(function(c){"function"===typeof define&&define.amd?define(["jquery","datatables.net-dt","datatables.net-keytable"],function(a){return c(a,window,document)}):"object"===typeof exports?module.exports=function(a,b){a||(a=window);b&&b.fn.dataTable||(b=require("datatables.net-dt")(a,b).$);b.fn.dataTable.KeyTable||require("datatables.net-keytable")(a,b);return c(b,a,a.document)}:c(jQuery,window,document)})(function(c,a,b,d){return c.fn.dataTable});
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/KeyTable/js/keyTable.foundation.min.js
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/KeyTable/js/keyTable.foundation.min.js	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/KeyTable/js/keyTable.foundation.min.js	(revision 3761)
@@ -0,0 +1,5 @@
+/*!
+ Foundation styling wrapper for KeyTable
+ Â©2018 SpryMedia Ltd - datatables.net/license
+*/
+(function(c){"function"===typeof define&&define.amd?define(["jquery","datatables.net-zf","datatables.net-keytable"],function(a){return c(a,window,document)}):"object"===typeof exports?module.exports=function(a,b){a||(a=window);b&&b.fn.dataTable||(b=require("datatables.net-zf")(a,b).$);b.fn.dataTable.KeyTable||require("datatables.net-keytable")(a,b);return c(b,a,a.document)}:c(jQuery,window,document)})(function(c,a,b,d){return c.fn.dataTable});
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/KeyTable/js/keyTable.bootstrap.min.js
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/KeyTable/js/keyTable.bootstrap.min.js	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/KeyTable/js/keyTable.bootstrap.min.js	(revision 3761)
@@ -0,0 +1,5 @@
+/*!
+ Bootstrap 3 styling wrapper for KeyTable
+ Â©2018 SpryMedia Ltd - datatables.net/license
+*/
+(function(c){"function"===typeof define&&define.amd?define(["jquery","datatables.net-bs","datatables.net-keytable"],function(a){return c(a,window,document)}):"object"===typeof exports?module.exports=function(a,b){a||(a=window);b&&b.fn.dataTable||(b=require("datatables.net-bs")(a,b).$);b.fn.dataTable.KeyTable||require("datatables.net-keytable")(a,b);return c(b,a,a.document)}:c(jQuery,window,document)})(function(c,a,b,d){return c.fn.dataTable});
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/KeyTable/js/keyTable.jqueryui.min.js
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/KeyTable/js/keyTable.jqueryui.min.js	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/KeyTable/js/keyTable.jqueryui.min.js	(revision 3761)
@@ -0,0 +1,5 @@
+/*!
+ jQuery UI styling wrapper for KeyTable
+ Â©2018 SpryMedia Ltd - datatables.net/license
+*/
+(function(c){"function"===typeof define&&define.amd?define(["jquery","datatables.net-jqui","datatables.net-keytable"],function(a){return c(a,window,document)}):"object"===typeof exports?module.exports=function(a,b){a||(a=window);b&&b.fn.dataTable||(b=require("datatables.net-jqui")(a,b).$);b.fn.dataTable.KeyTable||require("datatables.net-keytable")(a,b);return c(b,a,a.document)}:c(jQuery,window,document)})(function(c,a,b,d){return c.fn.dataTable});
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/KeyTable/js/keyTable.bulma.min.js
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/KeyTable/js/keyTable.bulma.min.js	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-extensions/KeyTable/js/keyTable.bulma.min.js	(revision 3761)
@@ -0,0 +1,5 @@
+/*!
+ Bulma styling wrapper for KeyTable
+ Â©2018 SpryMedia Ltd - datatables.net/license
+*/
+(function(c){"function"===typeof define&&define.amd?define(["jquery","datatables.net-bm","datatables.net-keytable"],function(a){return c(a,window,document)}):"object"===typeof exports?module.exports=function(a,b){a||(a=window);b&&b.fn.dataTable||(b=require("datatables.net-bm")(a,b).$);b.fn.dataTable.KeyTable||require("datatables.net-keytable")(a,b);return c(b,a,a.document)}:c(jQuery,window,document)})(function(c,a,b,d){return c.fn.dataTable});
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-plugins/filtering/accent-neutralise/source.js
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-plugins/filtering/accent-neutralise/source.js	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-plugins/filtering/accent-neutralise/source.js	(revision 3761)
@@ -0,0 +1,54 @@
+/**
+ * When searching a table with accented characters, it can be frustrating to have
+ * an input such as _Zurich_ not match _ZÃ¼rich_ in the table (`u !== Ã¼`). This
+ * type based search plug-in replaces the built-in string formatter in
+ * DataTables with a function that will replace the accented characters
+ * with their unaccented counterparts for fast and easy filtering.
+ * 
+ * Note that this plug-in uses the Javascript I18n API that was introduced in
+ * ES6. For older browser's this plug-in will have no effect.
+ *
+ *  @summary Replace accented characters with unaccented counterparts
+ *  @name Accent neutralise
+ *  @author Allan Jardine
+ *
+ *  @example
+ *    $(document).ready(function() {
+ *        $('#example').dataTable();
+ *    } );
+ */
+
+(function(){
+
+function removeAccents ( data ) {
+    if ( data.normalize ) {
+        // Use I18n API if avaiable to split characters and accents, then remove
+        // the accents wholesale. Note that we use the original data as well as
+        // the new to allow for searching of either form.
+        return data +' '+ data
+            .normalize('NFD')
+            .replace(/[\u0300-\u036f]/g, '');
+    }
+
+    return data;
+}
+
+var searchType = jQuery.fn.DataTable.ext.type.search;
+
+searchType.string = function ( data ) {
+    return ! data ?
+        '' :
+        typeof data === 'string' ?
+            removeAccents( data ) :
+            data;
+};
+
+searchType.html = function ( data ) {
+    return ! data ?
+        '' :
+        typeof data === 'string' ?
+            removeAccents( data.replace( /<.*?>/g, '' ) ) :
+            data;
+};
+
+}());
\ No newline at end of file
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-plugins/filtering/diacritics-neutralise/source.js
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-plugins/filtering/diacritics-neutralise/source.js	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-plugins/filtering/diacritics-neutralise/source.js	(revision 3761)
@@ -0,0 +1,162 @@
+/**
+ * When filtering a table with accented characters (letters with diacritical marks)
+ * it can be frustrating to have an input such as _Zurich_ not match _ZÃ¼rich_ in 
+ * the table (`u !== Ã¼`). 
+ *
+ * This type based search plug-in replaces the built-in string formatter in
+ * DataTables with a function that will replace a comprehensive range of letters 
+ * with diacritical marks to their "normalized" a..Z latin equivalents. 
+ *
+ * This plug-in targets a wider scope of languages than the accent-neutralise plugin. 
+ * European languages such as slavic, nordic, baltic, finnish, celtic, albanian, 
+ * hungarian (etc) is covered as well as turkish and asian languages written in european latin.  
+ *
+ * For example is the letters ï¼¥ÃˆÃ‰ÃŠá»€áº¾á»„á»‚áº¼Ä’á¸”á¸–Ä”Ä–Ã‹áººÄšÈ„È†áº¸á»†È¨á¸œÄ˜á¸˜á¸šÆ�ÆŽ searchable by the input 'E'.
+ *
+ * As a additional feature you can customise the plugin by allowing certain diacratics: 
+ *
+ * jQuery.fn.DataTable.ext.type.search.allowDiacritics( array );
+ *
+ * For example you would like to be able filter the nordic letters Ã¦, Ã¸, Ã¥ :
+ *
+ * jQuery.fn.DataTable.ext.type.search.allowDiacritics( ['Ã¦', 'Ã¸', 'Ã¥' ] );
+ * 
+ *
+ *  @name Diacritics-neutralise
+ *  @summary Replace accented characters (diacritics) with latin equivalents
+ *  @author David Konrad
+ *  @email davidkonrad at googles email
+ *
+ *
+ * Demo 
+ *
+ * http://plnkr.co/edit/Gf96d39S0b0CETt0hr4L?p=preview
+ *
+ */
+
+'use strict';
+
+var diacriticsMap = [
+  {'base':'A', 'letters':/[\u0041\u24B6\uFF21\u00C0\u00C1\u00C2\u1EA6\u1EA4\u1EAA\u1EA8\u00C3\u0100\u0102\u1EB0\u1EAE\u1EB4\u1EB2\u0226\u01E0\u00C4\u01DE\u1EA2\u00C5\u01FA\u01CD\u0200\u0202\u1EA0\u1EAC\u1EB6\u1E00\u0104\u023A\u2C6F]/g},
+  {'base':'AA','letters':/[\uA732]/g},
+  {'base':'AE','letters':/[\u00C6\u01FC\u01E2]/g},
+  {'base':'AO','letters':/[\uA734]/g},
+  {'base':'AU','letters':/[\uA736]/g},
+  {'base':'AV','letters':/[\uA738\uA73A]/g},
+  {'base':'AY','letters':/[\uA73C]/g},
+  {'base':'B', 'letters':/[\u0042\u24B7\uFF22\u1E02\u1E04\u1E06\u0243\u0182\u0181]/g},
+  {'base':'C', 'letters':/[\u0043\u24B8\uFF23\u0106\u0108\u010A\u010C\u00C7\u1E08\u0187\u023B\uA73E]/g},
+  {'base':'D', 'letters':/[\u0044\u24B9\uFF24\u1E0A\u010E\u1E0C\u1E10\u1E12\u1E0E\u0110\u018B\u018A\u0189\uA779]/g},
+  {'base':'DZ','letters':/[\u01F1\u01C4]/g},
+  {'base':'Dz','letters':/[\u01F2\u01C5]/g},
+  {'base':'E', 'letters':/[\u0045\u24BA\uFF25\u00C8\u00C9\u00CA\u1EC0\u1EBE\u1EC4\u1EC2\u1EBC\u0112\u1E14\u1E16\u0114\u0116\u00CB\u1EBA\u011A\u0204\u0206\u1EB8\u1EC6\u0228\u1E1C\u0118\u1E18\u1E1A\u0190\u018E]/g},
+  {'base':'F', 'letters':/[\u0046\u24BB\uFF26\u1E1E\u0191\uA77B]/g},
+  {'base':'G', 'letters':/[\u0047\u24BC\uFF27\u01F4\u011C\u1E20\u011E\u0120\u01E6\u0122\u01E4\u0193\uA7A0\uA77D\uA77E]/g},
+  {'base':'H', 'letters':/[\u0048\u24BD\uFF28\u0124\u1E22\u1E26\u021E\u1E24\u1E28\u1E2A\u0126\u2C67\u2C75\uA78D]/g},
+  {'base':'I', 'letters':/[\u0049\u24BE\uFF29\u00CC\u00CD\u00CE\u0128\u012A\u012C\u0130\u00CF\u1E2E\u1EC8\u01CF\u0208\u020A\u1ECA\u012E\u1E2C\u0197]/g},
+  {'base':'J', 'letters':/[\u004A\u24BF\uFF2A\u0134\u0248]/g},
+  {'base':'K', 'letters':/[\u004B\u24C0\uFF2B\u1E30\u01E8\u1E32\u0136\u1E34\u0198\u2C69\uA740\uA742\uA744\uA7A2]/g},
+  {'base':'L', 'letters':/[\u004C\u24C1\uFF2C\u013F\u0139\u013D\u1E36\u1E38\u013B\u1E3C\u1E3A\u0141\u023D\u2C62\u2C60\uA748\uA746\uA780]/g},
+  {'base':'LJ','letters':/[\u01C7]/g},
+  {'base':'Lj','letters':/[\u01C8]/g},
+  {'base':'M', 'letters':/[\u004D\u24C2\uFF2D\u1E3E\u1E40\u1E42\u2C6E\u019C]/g},
+  {'base':'N', 'letters':/[\u004E\u24C3\uFF2E\u01F8\u0143\u00D1\u1E44\u0147\u1E46\u0145\u1E4A\u1E48\u0220\u019D\uA790\uA7A4]/g},
+  {'base':'NJ','letters':/[\u01CA]/g},
+  {'base':'Nj','letters':/[\u01CB]/g},
+  {'base':'O', 'letters':/[\u004F\u24C4\uFF2F\u00D2\u00D3\u00D4\u1ED2\u1ED0\u1ED6\u1ED4\u00D5\u1E4C\u022C\u1E4E\u014C\u1E50\u1E52\u014E\u022E\u0230\u00D6\u022A\u1ECE\u0150\u01D1\u020C\u020E\u01A0\u1EDC\u1EDA\u1EE0\u1EDE\u1EE2\u1ECC\u1ED8\u01EA\u01EC\u00D8\u01FE\u0186\u019F\uA74A\uA74C]/g},
+  {'base':'OI','letters':/[\u01A2]/g},
+  {'base':'OO','letters':/[\uA74E]/g},
+  {'base':'OU','letters':/[\u0222]/g},
+  {'base':'P', 'letters':/[\u0050\u24C5\uFF30\u1E54\u1E56\u01A4\u2C63\uA750\uA752\uA754]/g},
+  {'base':'Q', 'letters':/[\u0051\u24C6\uFF31\uA756\uA758\u024A]/g},
+  {'base':'R', 'letters':/[\u0052\u24C7\uFF32\u0154\u1E58\u0158\u0210\u0212\u1E5A\u1E5C\u0156\u1E5E\u024C\u2C64\uA75A\uA7A6\uA782]/g},
+  {'base':'S', 'letters':/[\u0053\u24C8\uFF33\u1E9E\u015A\u1E64\u015C\u1E60\u0160\u1E66\u1E62\u1E68\u0218\u015E\u2C7E\uA7A8\uA784]/g},
+  {'base':'T', 'letters':/[\u0054\u24C9\uFF34\u1E6A\u0164\u1E6C\u021A\u0162\u1E70\u1E6E\u0166\u01AC\u01AE\u023E\uA786]/g},
+  {'base':'TZ','letters':/[\uA728]/g},
+  {'base':'U', 'letters':/[\u0055\u24CA\uFF35\u00D9\u00DA\u00DB\u0168\u1E78\u016A\u1E7A\u016C\u00DC\u01DB\u01D7\u01D5\u01D9\u1EE6\u016E\u0170\u01D3\u0214\u0216\u01AF\u1EEA\u1EE8\u1EEE\u1EEC\u1EF0\u1EE4\u1E72\u0172\u1E76\u1E74\u0244]/g},
+  {'base':'V', 'letters':/[\u0056\u24CB\uFF36\u1E7C\u1E7E\u01B2\uA75E\u0245]/g},
+  {'base':'VY','letters':/[\uA760]/g},
+  {'base':'W', 'letters':/[\u0057\u24CC\uFF37\u1E80\u1E82\u0174\u1E86\u1E84\u1E88\u2C72]/g},
+  {'base':'X', 'letters':/[\u0058\u24CD\uFF38\u1E8A\u1E8C]/g},
+  {'base':'Y', 'letters':/[\u0059\u24CE\uFF39\u1EF2\u00DD\u0176\u1EF8\u0232\u1E8E\u0178\u1EF6\u1EF4\u01B3\u024E\u1EFE]/g},
+  {'base':'Z', 'letters':/[\u005A\u24CF\uFF3A\u0179\u1E90\u017B\u017D\u1E92\u1E94\u01B5\u0224\u2C7F\u2C6B\uA762]/g},
+  {'base':'a', 'letters':/[\u0061\u24D0\uFF41\u1E9A\u00E0\u00E1\u00E2\u1EA7\u1EA5\u1EAB\u1EA9\u00E3\u0101\u0103\u1EB1\u1EAF\u1EB5\u1EB3\u0227\u01E1\u00E4\u01DF\u1EA3\u00E5\u01FB\u01CE\u0201\u0203\u1EA1\u1EAD\u1EB7\u1E01\u0105\u2C65\u0250]/g},
+  {'base':'aa','letters':/[\uA733]/g},
+  {'base':'ae','letters':/[\u00E6\u01FD\u01E3]/g},
+  {'base':'ao','letters':/[\uA735]/g},
+  {'base':'au','letters':/[\uA737]/g},
+  {'base':'av','letters':/[\uA739\uA73B]/g},
+  {'base':'ay','letters':/[\uA73D]/g},
+  {'base':'b', 'letters':/[\u0062\u24D1\uFF42\u1E03\u1E05\u1E07\u0180\u0183\u0253]/g},
+  {'base':'c', 'letters':/[\u0063\u24D2\uFF43\u0107\u0109\u010B\u010D\u00E7\u1E09\u0188\u023C\uA73F\u2184]/g},
+  {'base':'d', 'letters':/[\u0064\u24D3\uFF44\u1E0B\u010F\u1E0D\u1E11\u1E13\u1E0F\u0111\u018C\u0256\u0257\uA77A]/g},
+  {'base':'dz','letters':/[\u01F3\u01C6]/g},
+  {'base':'e', 'letters':/[\u0065\u24D4\uFF45\u00E8\u00E9\u00EA\u1EC1\u1EBF\u1EC5\u1EC3\u1EBD\u0113\u1E15\u1E17\u0115\u0117\u00EB\u1EBB\u011B\u0205\u0207\u1EB9\u1EC7\u0229\u1E1D\u0119\u1E19\u1E1B\u0247\u025B\u01DD]/g},
+  {'base':'f', 'letters':/[\u0066\u24D5\uFF46\u1E1F\u0192\uA77C]/g},
+  {'base':'g', 'letters':/[\u0067\u24D6\uFF47\u01F5\u011D\u1E21\u011F\u0121\u01E7\u0123\u01E5\u0260\uA7A1\u1D79\uA77F]/g},
+  {'base':'h', 'letters':/[\u0068\u24D7\uFF48\u0125\u1E23\u1E27\u021F\u1E25\u1E29\u1E2B\u1E96\u0127\u2C68\u2C76\u0265]/g},
+  {'base':'hv','letters':/[\u0195]/g},
+  {'base':'i', 'letters':/[\u0069\u24D8\uFF49\u00EC\u00ED\u00EE\u0129\u012B\u012D\u00EF\u1E2F\u1EC9\u01D0\u0209\u020B\u1ECB\u012F\u1E2D\u0268\u0131]/g},
+  {'base':'j', 'letters':/[\u006A\u24D9\uFF4A\u0135\u01F0\u0249]/g},
+  {'base':'k', 'letters':/[\u006B\u24DA\uFF4B\u1E31\u01E9\u1E33\u0137\u1E35\u0199\u2C6A\uA741\uA743\uA745\uA7A3]/g},
+  {'base':'l', 'letters':/[\u006C\u24DB\uFF4C\u0140\u013A\u013E\u1E37\u1E39\u013C\u1E3D\u1E3B\u017F\u0142\u019A\u026B\u2C61\uA749\uA781\uA747]/g},
+  {'base':'lj','letters':/[\u01C9]/g},
+  {'base':'m', 'letters':/[\u006D\u24DC\uFF4D\u1E3F\u1E41\u1E43\u0271\u026F]/g},
+  {'base':'n', 'letters':/[\u006E\u24DD\uFF4E\u01F9\u0144\u00F1\u1E45\u0148\u1E47\u0146\u1E4B\u1E49\u019E\u0272\u0149\uA791\uA7A5]/g},
+  {'base':'nj','letters':/[\u01CC]/g},
+  {'base':'o', 'letters':/[\u006F\u24DE\uFF4F\u00F2\u00F3\u00F4\u1ED3\u1ED1\u1ED7\u1ED5\u00F5\u1E4D\u022D\u1E4F\u014D\u1E51\u1E53\u014F\u022F\u0231\u00F6\u022B\u1ECF\u0151\u01D2\u020D\u020F\u01A1\u1EDD\u1EDB\u1EE1\u1EDF\u1EE3\u1ECD\u1ED9\u01EB\u01ED\u00F8\u01FF\u0254\uA74B\uA74D\u0275]/g},
+  {'base':'oi','letters':/[\u01A3]/g},
+  {'base':'ou','letters':/[\u0223]/g},
+  {'base':'oo','letters':/[\uA74F]/g},
+  {'base':'p','letters':/[\u0070\u24DF\uFF50\u1E55\u1E57\u01A5\u1D7D\uA751\uA753\uA755]/g},
+  {'base':'q','letters':/[\u0071\u24E0\uFF51\u024B\uA757\uA759]/g},
+  {'base':'r','letters':/[\u0072\u24E1\uFF52\u0155\u1E59\u0159\u0211\u0213\u1E5B\u1E5D\u0157\u1E5F\u024D\u027D\uA75B\uA7A7\uA783]/g},
+  {'base':'s','letters':/[\u0073\u24E2\uFF53\u00DF\u015B\u1E65\u015D\u1E61\u0161\u1E67\u1E63\u1E69\u0219\u015F\u023F\uA7A9\uA785\u1E9B]/g},
+  {'base':'t','letters':/[\u0074\u24E3\uFF54\u1E6B\u1E97\u0165\u1E6D\u021B\u0163\u1E71\u1E6F\u0167\u01AD\u0288\u2C66\uA787]/g},
+  {'base':'tz','letters':/[\uA729]/g},
+  {'base':'u','letters':/[\u0075\u24E4\uFF55\u00F9\u00FA\u00FB\u0169\u1E79\u016B\u1E7B\u016D\u00FC\u01DC\u01D8\u01D6\u01DA\u1EE7\u016F\u0171\u01D4\u0215\u0217\u01B0\u1EEB\u1EE9\u1EEF\u1EED\u1EF1\u1EE5\u1E73\u0173\u1E77\u1E75\u0289]/g},
+  {'base':'v','letters':/[\u0076\u24E5\uFF56\u1E7D\u1E7F\u028B\uA75F\u028C]/g},
+  {'base':'vy','letters':/[\uA761]/g},
+  {'base':'w','letters':/[\u0077\u24E6\uFF57\u1E81\u1E83\u0175\u1E87\u1E85\u1E98\u1E89\u2C73]/g},
+  {'base':'x','letters':/[\u0078\u24E7\uFF58\u1E8B\u1E8D]/g},
+  {'base':'y','letters':/[\u0079\u24E8\uFF59\u1EF3\u00FD\u0177\u1EF9\u0233\u1E8F\u00FF\u1EF7\u1E99\u1EF5\u01B4\u024F\u1EFF]/g},
+  {'base':'z','letters':/[\u007A\u24E9\uFF5A\u017A\u1E91\u017C\u017E\u1E93\u1E95\u01B6\u0225\u0240\u2C6C\uA763]/g}
+];
+
+function removeDiacritics ( s ) {
+  for (var i=0, l=diacriticsMap.length; i<l; i++) {
+    s = s.replace(diacriticsMap[i].letters, diacriticsMap[i].base);
+  }
+  return s; 
+}
+
+function charToUnicode( char ) {
+  var charUnicode = char.charCodeAt(0).toString(16).toUpperCase();
+  while (charUnicode.length < 4) {
+    charUnicode = '0' + charUnicode;
+  }
+  charUnicode = '\\u' + charUnicode;
+  return charUnicode;
+}
+
+jQuery.fn.DataTable.ext.type.search.allowDiacritics = function( array ) {
+  for (var i=0, l=array.length; i<l; i++) {
+    var unicode = charToUnicode(array[i]);
+    for (var di=0, dl=diacriticsMap.length; di<dl; di++) {
+      var _old = diacriticsMap[di].letters.toString();
+      var _new = _old.replace(unicode, '');  
+      if (_old != _new) {
+        diacriticsMap[di].letters = new RegExp(_new);
+      }        
+    }        
+  }     
+};
+
+jQuery.fn.DataTable.ext.type.search.string = function ( s ) {
+   return removeDiacritics(s);
+};
+
+/**
+ * end of diacritics-neutralise.js
+ */
+
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-plugins/sorting/natural/source.js
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-plugins/sorting/natural/source.js	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-plugins/sorting/natural/source.js	(revision 3761)
@@ -0,0 +1,128 @@
+/**
+ * Data can often be a complicated mix of numbers and letters (file names
+ * are a common example) and sorting them in a natural manner is quite a
+ * difficult problem.
+ * 
+ * Fortunately a deal of work has already been done in this area by other
+ * authors - the following plug-in uses the [naturalSort() function by Jim
+ * Palmer](http://www.overset.com/2008/09/01/javascript-natural-sort-algorithm-with-unicode-support) to provide natural sorting in DataTables.
+ *
+ *  @name Natural sorting
+ *  @summary Sort data with a mix of numbers and letters _naturally_.
+ *  @author [Jim Palmer](http://www.overset.com/2008/09/01/javascript-natural-sort-algorithm-with-unicode-support)
+ *  @author [Michael Buehler] (https://github.com/AnimusMachina)
+ *
+ *  @example
+ *    $('#example').dataTable( {
+ *       columnDefs: [
+ *         { type: 'natural', targets: 0 }
+ *       ]
+ *    } );
+ *
+ *    Html can be stripped from sorting by using 'natural-nohtml' such as
+ *
+ *    $('#example').dataTable( {
+ *       columnDefs: [
+ *    	   { type: 'natural-nohtml', targets: 0 }
+ *       ]
+ *    } );
+ *
+ */
+
+(function() {
+
+/*
+ * Natural Sort algorithm for Javascript - Version 0.7 - Released under MIT license
+ * Author: Jim Palmer (based on chunking idea from Dave Koelle)
+ * Contributors: Mike Grier (mgrier.com), Clint Priest, Kyle Adams, guillermo
+ * See: http://js-naturalsort.googlecode.com/svn/trunk/naturalSort.js
+ */
+function naturalSort (a, b, html) {
+	var re = /(^-?[0-9]+(\.?[0-9]*)[df]?e?[0-9]?%?$|^0x[0-9a-f]+$|[0-9]+)/gi,
+		sre = /(^[ ]*|[ ]*$)/g,
+		dre = /(^([\w ]+,?[\w ]+)?[\w ]+,?[\w ]+\d+:\d+(:\d+)?[\w ]?|^\d{1,4}[\/\-]\d{1,4}[\/\-]\d{1,4}|^\w+, \w+ \d+, \d{4})/,
+		hre = /^0x[0-9a-f]+$/i,
+		ore = /^0/,
+		htmre = /(<([^>]+)>)/ig,
+		// convert all to strings and trim()
+		x = a.toString().replace(sre, '') || '',
+		y = b.toString().replace(sre, '') || '';
+		// remove html from strings if desired
+		if (!html) {
+			x = x.replace(htmre, '');
+			y = y.replace(htmre, '');
+		}
+		// chunk/tokenize
+	var	xN = x.replace(re, '\0$1\0').replace(/\0$/,'').replace(/^\0/,'').split('\0'),
+		yN = y.replace(re, '\0$1\0').replace(/\0$/,'').replace(/^\0/,'').split('\0'),
+		// numeric, hex or date detection
+		xD = parseInt(x.match(hre), 10) || (xN.length !== 1 && x.match(dre) && Date.parse(x)),
+		yD = parseInt(y.match(hre), 10) || xD && y.match(dre) && Date.parse(y) || null;
+
+	// first try and sort Hex codes or Dates
+	if (yD) {
+		if ( xD < yD ) {
+			return -1;
+		}
+		else if ( xD > yD )	{
+			return 1;
+		}
+	}
+
+	// natural sorting through split numeric strings and default strings
+	for(var cLoc=0, numS=Math.max(xN.length, yN.length); cLoc < numS; cLoc++) {
+		// find floats not starting with '0', string or 0 if not defined (Clint Priest)
+		var oFxNcL = !(xN[cLoc] || '').match(ore) && parseFloat(xN[cLoc], 10) || xN[cLoc] || 0;
+		var oFyNcL = !(yN[cLoc] || '').match(ore) && parseFloat(yN[cLoc], 10) || yN[cLoc] || 0;
+		// handle numeric vs string comparison - number < string - (Kyle Adams)
+		if (isNaN(oFxNcL) !== isNaN(oFyNcL)) {
+			return (isNaN(oFxNcL)) ? 1 : -1;
+		}
+		// rely on string comparison if different types - i.e. '02' < 2 != '02' < '2'
+		else if (typeof oFxNcL !== typeof oFyNcL) {
+			oFxNcL += '';
+			oFyNcL += '';
+		}
+		if (oFxNcL < oFyNcL) {
+			return -1;
+		}
+		if (oFxNcL > oFyNcL) {
+			return 1;
+		}
+	}
+	return 0;
+}
+
+jQuery.extend( jQuery.fn.dataTableExt.oSort, {
+	"natural-asc": function ( a, b ) {
+		return naturalSort(a,b,true);
+	},
+
+	"natural-desc": function ( a, b ) {
+		return naturalSort(a,b,true) * -1;
+	},
+
+	"natural-nohtml-asc": function( a, b ) {
+		return naturalSort(a,b,false);
+	},
+
+	"natural-nohtml-desc": function( a, b ) {
+		return naturalSort(a,b,false) * -1;
+	},
+
+	"natural-ci-asc": function( a, b ) {
+		a = a.toString().toLowerCase();
+		b = b.toString().toLowerCase();
+
+		return naturalSort(a,b,true);
+	},
+
+	"natural-ci-desc": function( a, b ) {
+		a = a.toString().toLowerCase();
+		b = b.toString().toLowerCase();
+
+		return naturalSort(a,b,true) * -1;
+	}
+} );
+
+}());
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-plugins/dataRender/ellipsis/source.js
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-plugins/dataRender/ellipsis/source.js	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-plugins/dataRender/ellipsis/source.js	(revision 3761)
@@ -0,0 +1,95 @@
+/**
+ * This data rendering helper method can be useful for cases where you have
+ * potentially large data strings to be shown in a column that is restricted by
+ * width. The data for the column is still fully searchable and sortable, but if
+ * it is longer than a give number of characters, it will be truncated and
+ * shown with ellipsis. A browser provided tooltip will show the full string
+ * to the end user on mouse hover of the cell.
+ *
+ * This function should be used with the `dt-init columns.render` configuration
+ * option of DataTables.
+ *
+ * It accepts three parameters:
+ *
+ * 1. `-type integer` - The number of characters to restrict the displayed data
+ *    to.
+ * 2. `-type boolean` (optional - default `false`) - Indicate if the truncation
+ *    of the string should not occur in the middle of a word (`true`) or if it
+ *    can (`false`). This can allow the display of strings to look nicer, at the
+ *    expense of showing less characters.
+ * 2. `-type boolean` (optional - default `false`) - Escape HTML entities
+ *    (`true`) or not (`false` - default).
+ *
+ *  @name ellipsis
+ *  @summary Restrict output data to a particular length, showing anything
+ *      longer with ellipsis and a browser provided tooltip on hover.
+ *  @author [Allan Jardine](http://datatables.net)
+ *  @requires DataTables 1.10+
+ *
+ * @returns {Number} Calculated average
+ *
+ *  @example
+ *    // Restrict a column to 17 characters, don't split words
+ *    $('#example').DataTable( {
+ *      columnDefs: [ {
+ *        targets: 1,
+ *        render: $.fn.dataTable.render.ellipsis( 17, true )
+ *      } ]
+ *    } );
+ *
+ *  @example
+ *    // Restrict a column to 10 characters, do split words
+ *    $('#example').DataTable( {
+ *      columnDefs: [ {
+ *        targets: 2,
+ *        render: $.fn.dataTable.render.ellipsis( 10 )
+ *      } ]
+ *    } );
+ */
+
+jQuery.fn.dataTable.render.ellipsis = function ( cutoff, wordbreak, escapeHtml ) {
+	var esc = function ( t ) {
+		return ('' + t)
+			.replace( /&/g, '&amp;' )
+			.replace( /</g, '&lt;' )
+			.replace( />/g, '&gt;' )
+			.replace( /"/g, '&quot;' );
+	};
+
+	return function ( d, type, row ) {
+		// Order, search and type get the original data
+		if ( type !== 'display' ) {
+			return d;
+		}
+
+		if ( typeof d !== 'number' && typeof d !== 'string' ) {
+			if ( escapeHtml ) {
+				return esc( d );
+			}
+			return d;
+		}
+
+		d = d.toString(); // cast numbers
+
+		if ( d.length <= cutoff ) {
+			if ( escapeHtml ) {
+				return esc( d );
+			}
+			return d;
+		}
+
+		var shortened = d.substr(0, cutoff-1);
+
+		// Find the last white space character in the string
+		if ( wordbreak ) {
+			shortened = shortened.replace(/\s([^\s]*)$/, '');
+		}
+
+		// Protect against uncontrolled HTML input
+		if ( escapeHtml ) {
+			shortened = esc( shortened );
+		}
+
+		return '<span class="ellipsis" title="'+esc(d)+'">'+shortened+'&#8230;</span>';
+	};
+};
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-plugins/pagination/four_button/source.js
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-plugins/pagination/four_button/source.js	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-plugins/pagination/four_button/source.js	(revision 3761)
@@ -0,0 +1,110 @@
+/**
+ * The built-in pagination functions provide either two buttons (forward / back)
+ * or lots of buttons (forward, back, first, last and individual pages). This
+ * plug-in meets the two in the middle providing navigation controls for
+ * forward, back, first and last.
+ *
+ * DataTables has this ability built in using the `dt-string full` option of
+ * the `dt-init pagingType` initialisation option. As such, this plug-in is
+ * marked as deprecated.
+ *
+ *  @name Four button navigation
+ *  @summary Display forward, back, first and last buttons.
+ *  @deprecated
+ *  @author [Allan Jardine](http://sprymedia.co.uk)
+ *
+ *  @example
+ *    $(document).ready(function() {
+ *        $('#example').dataTable( {
+ *            "sPaginationType": "four_button"
+ *        } );
+ *    } );
+ */
+
+$.fn.dataTableExt.oPagination.four_button = {
+	"fnInit": function ( oSettings, nPaging, fnCallbackDraw )
+	{
+		var nFirst = document.createElement( 'span' );
+		var nPrevious = document.createElement( 'span' );
+		var nNext = document.createElement( 'span' );
+		var nLast = document.createElement( 'span' );
+
+		nFirst.appendChild( document.createTextNode( oSettings.oLanguage.oPaginate.sFirst ) );
+		nPrevious.appendChild( document.createTextNode( oSettings.oLanguage.oPaginate.sPrevious ) );
+		nNext.appendChild( document.createTextNode( oSettings.oLanguage.oPaginate.sNext ) );
+		nLast.appendChild( document.createTextNode( oSettings.oLanguage.oPaginate.sLast ) );
+
+		nFirst.className = "paginate_button first";
+		nPrevious.className = "paginate_button previous";
+		nNext.className="paginate_button next";
+		nLast.className = "paginate_button last";
+
+		nPaging.appendChild( nFirst );
+		nPaging.appendChild( nPrevious );
+		nPaging.appendChild( nNext );
+		nPaging.appendChild( nLast );
+
+		$(nFirst).click( function () {
+			oSettings.oApi._fnPageChange( oSettings, "first" );
+			fnCallbackDraw( oSettings );
+		} );
+
+		$(nPrevious).click( function() {
+			oSettings.oApi._fnPageChange( oSettings, "previous" );
+			fnCallbackDraw( oSettings );
+		} );
+
+		$(nNext).click( function() {
+			oSettings.oApi._fnPageChange( oSettings, "next" );
+			fnCallbackDraw( oSettings );
+		} );
+
+		$(nLast).click( function() {
+			oSettings.oApi._fnPageChange( oSettings, "last" );
+			fnCallbackDraw( oSettings );
+		} );
+
+		/* Disallow text selection */
+		$(nFirst).bind( 'selectstart', function () { return false; } );
+		$(nPrevious).bind( 'selectstart', function () { return false; } );
+		$(nNext).bind( 'selectstart', function () { return false; } );
+		$(nLast).bind( 'selectstart', function () { return false; } );
+	},
+
+
+	"fnUpdate": function ( oSettings, fnCallbackDraw )
+	{
+		if ( !oSettings.aanFeatures.p )
+		{
+			return;
+		}
+
+		/* Loop over each instance of the pager */
+		var an = oSettings.aanFeatures.p;
+		for ( var i=0, iLen=an.length ; i<iLen ; i++ )
+		{
+			var buttons = an[i].getElementsByTagName('span');
+			if ( oSettings._iDisplayStart === 0 )
+			{
+				buttons[0].className = "paginate_disabled_previous";
+				buttons[1].className = "paginate_disabled_previous";
+			}
+			else
+			{
+				buttons[0].className = "paginate_enabled_previous";
+				buttons[1].className = "paginate_enabled_previous";
+			}
+
+			if ( oSettings.fnDisplayEnd() == oSettings.fnRecordsDisplay() )
+			{
+				buttons[2].className = "paginate_disabled_next";
+				buttons[3].className = "paginate_disabled_next";
+			}
+			else
+			{
+				buttons[2].className = "paginate_enabled_next";
+				buttons[3].className = "paginate_enabled_next";
+			}
+		}
+	}
+};
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-plugins/pagination/simple_incremental_bootstrap/source.js
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-plugins/pagination/simple_incremental_bootstrap/source.js	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-plugins/pagination/simple_incremental_bootstrap/source.js	(revision 3761)
@@ -0,0 +1,160 @@
+ï»¿/**
+ * This pagination style shows Previous/Next buttons, and page numbers only
+ * for "known" pages that are visited at least once time using [Next>] button.
+ * Initially only Prev/Next buttons are shown (Prev is initially disabled).
+ * 
+ * [<Previous] [Next>]
+ * 
+ * When user navigates through the pages using [Next>] button, navigation shows
+ * the numbers for the previous pages. As an example, when user reaches page 2,
+ * page numbers 1 and 2 are shown:
+ * 
+ * [<Previous] 1 2 [Next>]
+ * 
+ * When user reaches page 4, page numbers 1, 2, 3, and 4 are shown:
+ * 
+ * [<Previous] 1 2 3 4 [Next>]
+ * 
+ * When user navigates back, pagination will remember the last page number
+ * he reached and the numbesr up to the last known page are shown. As an example,
+ * when user returns to the page 2, page numbers 1, 2, 3, and 4 are still shown:
+ * 
+ * [<Previous] 1 2 3 4 [Next>]
+ * 
+ * This pagination style is designed for users who will not directly jump to
+ * the random page that they have not opened before. Assumption is that users
+ * will discover new pages using [Next>] button. This pagination enables users
+ * to easily go back and forth to any page that they discovered.
+ * 
+ * Key benefit: This pagination supports usual pagination pattern and does not
+ * require server to return total count of items just to calculate last page and
+ * all numbers. This migh be huge performance benefit because server does not
+ * need to execute two queries in server-side processing mode:
+ * - One to get the records that will be shown on the current page,
+ * - Second to get the total count just to calculate full pagination.
+ * 
+ * Without second query, page load time might be 2x faster, especially in cases
+ * when server can quickly get top 100 records, but it would need to scan entire
+ * database table just to calculate the total count and position of the last
+ * page. This pagination style is reasonable trade-off between simple and fullnumbers 
+ * pagination.
+ * 
+ *  @name Simple Incremental navigation (Bootstrap)
+ *  @summary Shows forward/back buttons and all known page numbers.
+ *  @author [Jovan Popovic](http://github.com/JocaPC)
+ *
+ *  @example
+ *    $(document).ready(function() {
+ *        $('#example').dataTable( {
+ *            "pagingType": "simple_incremental_bootstrap"
+ *        } );
+ *    } );
+ */
+
+$.fn.dataTableExt.oPagination.simple_incremental_bootstrap = {
+
+    "fnInit": function (oSettings, nPaging, fnCallbackDraw) {
+        $(nPaging).prepend($("<ul class=\"pagination\"></ul>"));
+        var ul = $("ul", $(nPaging));
+        nFirst = document.createElement('li');
+        nPrevious = document.createElement('li');
+        nNext = document.createElement('li');
+
+        $(nPrevious).append($('<span>' + (oSettings.oLanguage.oPaginate.sPrevious) + '</span>'));
+        $(nFirst).append($('<span>1</span>'));
+        $(nNext).append($('<span>' + (oSettings.oLanguage.oPaginate.sNext) + '</span>'));
+        
+        nFirst.className = "paginate_button first active";
+        nPrevious.className = "paginate_button previous";
+        nNext.className = "paginate_button next";
+        
+        ul.append(nPrevious);
+        ul.append(nFirst);
+        ul.append(nNext);
+
+        $(nFirst).click(function () {
+            oSettings.oApi._fnPageChange(oSettings, "first");
+            fnCallbackDraw(oSettings);
+        });
+
+        $(nPrevious).click(function () {
+            if (!(oSettings._iDisplayStart === 0)) {
+                oSettings.oApi._fnPageChange(oSettings, "previous");
+                fnCallbackDraw(oSettings);
+            }
+        });
+
+        $(nNext).click(function () {
+            if(oSettings.aiDisplay.length < oSettings._iDisplayLength){
+                oSettings._iRecordsTotal = oSettings._iDisplayStart + oSettings.aiDisplay.length;
+            }else{
+                oSettings._iRecordsTotal = oSettings._iDisplayStart +  oSettings._iDisplayLength + 1;
+            }
+
+            if (!(oSettings.fnDisplayEnd() == oSettings.fnRecordsDisplay()
+                ||
+                oSettings.aiDisplay.length < oSettings._iDisplayLength)) {
+                oSettings.oApi._fnPageChange(oSettings, "next");
+                fnCallbackDraw(oSettings);
+            }
+        });
+
+        /* Disallow text selection */
+        $(nFirst).bind('selectstart', function () { return false; });
+        $(nPrevious).bind('selectstart', function () { return false; });
+        $(nNext).bind('selectstart', function () { return false; });
+
+        // Reset dynamically generated pages on length/filter change.
+        $(oSettings.nTable).DataTable().on('length.dt', function (e, settings, len) {
+            $("li.dynamic_page_item", nPaging).remove();
+        });
+
+        $(oSettings.nTable).DataTable().on('search.dt', function (e, settings, len) {
+            $("li.dynamic_page_item", nPaging).remove();
+        });
+    },
+
+    /*
+     * Function: oPagination.simple_incremental_bootstrap.fnUpdate
+     * Purpose:  Update the list of page buttons shows
+     * Inputs:   object:oSettings - dataTables settings object
+     *           function:fnCallbackDraw - draw function which must be called on update
+     */
+    "fnUpdate": function (oSettings, fnCallbackDraw) {
+        if (!oSettings.aanFeatures.p) {
+            return;
+        }
+
+        /* Loop over each instance of the pager */
+        var an = oSettings.aanFeatures.p;
+        for (var i = 0, iLen = an.length ; i < iLen ; i++) {
+            var buttons = an[i].getElementsByTagName('li');
+            $(buttons).removeClass("active");
+            
+            if (oSettings._iDisplayStart === 0) {
+                buttons[0].className = "paginate_buttons disabled previous";
+                buttons[buttons.length - 1].className = "paginate_button enabled next";
+            } else {
+                buttons[0].className = "paginate_buttons enabled previous";
+            }
+            
+            var page = Math.round(oSettings._iDisplayStart / oSettings._iDisplayLength) + 1;
+            if (page == buttons.length-1 && oSettings.aiDisplay.length > 0) {
+                $new = $('<li class="dynamic_page_item active"><span>' + page + "</span></li>");
+                $(buttons[buttons.length - 1]).before($new);
+                $new.click(function () {
+                    $(oSettings.nTable).DataTable().page(page-1);
+                    
+                    fnCallbackDraw(oSettings);
+                });
+            } else
+                $(buttons[page]).addClass("active");
+            
+            if (oSettings.fnDisplayEnd() == oSettings.fnRecordsDisplay()
+                ||
+                oSettings.aiDisplay.length < oSettings._iDisplayLength) {
+                buttons[buttons.length - 1].className = "paginate_button disabled next";
+            }
+        }
+    }
+};
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-plugins/pagination/full_numbers_no_ellipses/source.js
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-plugins/pagination/full_numbers_no_ellipses/source.js	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-plugins/pagination/full_numbers_no_ellipses/source.js	(revision 3761)
@@ -0,0 +1,59 @@
+/**
+ *  Plug-in offers the same functionality as `full_numbers` pagination type 
+ *  (see `pagingType` option) but without ellipses.
+ *
+ *  See [example](http://www.gyrocode.com/articles/jquery-datatables-pagination-without-ellipses) for demonstration.
+ *
+ *  @name Full Numbers - No Ellipses
+ *  @summary Same pagination as 'full_numbers' but without ellipses
+ *  @author [Michael Ryvkin](http://www.gyrocode.com)
+ *
+ *  @example
+ *    $(document).ready(function() {
+ *        $('#example').dataTable( {
+ *            "pagingType": "full_numbers_no_ellipses"
+ *        } );
+ *    } );
+ */
+
+$.fn.DataTable.ext.pager.full_numbers_no_ellipses = function(page, pages){
+   var numbers = [];
+   var buttons = $.fn.DataTable.ext.pager.numbers_length;
+   var half = Math.floor( buttons / 2 );
+
+   var _range = function ( len, start ){
+      var end;
+   
+      if ( typeof start === "undefined" ){ 
+         start = 0;
+         end = len;
+
+      } else {
+         end = start;
+         start = len;
+      }
+
+      var out = []; 
+      for ( var i = start ; i < end; i++ ){ out.push(i); }
+   
+      return out;
+   };
+    
+
+   if ( pages <= buttons ) {
+      numbers = _range( 0, pages );
+
+   } else if ( page <= half ) {
+      numbers = _range( 0, buttons);
+
+   } else if ( page >= pages - 1 - half ) {
+      numbers = _range( pages - buttons, pages );
+
+   } else {
+      numbers = _range( page - half, page + half + 1);
+   }
+
+   numbers.DT_el = 'span';
+
+   return [ 'first', 'previous', numbers, 'next', 'last' ];
+};
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-plugins/pagination/scrolling/source.js
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-plugins/pagination/scrolling/source.js	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-plugins/pagination/scrolling/source.js	(revision 3761)
@@ -0,0 +1,130 @@
+/**
+ * This modification of DataTables' standard two button pagination controls
+ * adds a little animation effect to the paging action by redrawing the table
+ * multiple times for each event, each draw progressing by one row until the
+ * required point in the table is reached.
+ *
+ *  @name Scrolling navigation
+ *  @summary Show page changes as a redraw of the table, scrolling records.
+ *  @author [Allan Jardine](http://sprymedia.co.uk)
+ *
+ *  @example
+ *    $(document).ready(function() {
+ *        $('#example').dataTable( {
+ *            "sPaginationType": "scrolling"
+ *        } );
+ *    } );
+ */
+
+
+/* Time between each scrolling frame */
+$.fn.dataTableExt.oPagination.iTweenTime = 100;
+
+$.fn.dataTableExt.oPagination.scrolling = {
+	"fnInit": function ( oSettings, nPaging, fnCallbackDraw )
+	{
+		var oLang = oSettings.oLanguage.oPaginate;
+		var oClasses = oSettings.oClasses;
+		var fnClickHandler = function ( e ) {
+			if ( oSettings.oApi._fnPageChange( oSettings, e.data.action ) )
+			{
+				fnCallbackDraw( oSettings );
+			}
+		};
+
+		var sAppend = (!oSettings.bJUI) ?
+			'<a class="'+oSettings.oClasses.sPagePrevDisabled+'" tabindex="'+oSettings.iTabIndex+'" role="button">'+oLang.sPrevious+'</a>'+
+			'<a class="'+oSettings.oClasses.sPageNextDisabled+'" tabindex="'+oSettings.iTabIndex+'" role="button">'+oLang.sNext+'</a>'
+			:
+			'<a class="'+oSettings.oClasses.sPagePrevDisabled+'" tabindex="'+oSettings.iTabIndex+'" role="button"><span class="'+oSettings.oClasses.sPageJUIPrev+'"></span></a>'+
+			'<a class="'+oSettings.oClasses.sPageNextDisabled+'" tabindex="'+oSettings.iTabIndex+'" role="button"><span class="'+oSettings.oClasses.sPageJUINext+'"></span></a>';
+		$(nPaging).append( sAppend );
+
+		var els = $('a', nPaging);
+		var nPrevious = els[0],
+			nNext = els[1];
+
+		oSettings.oApi._fnBindAction( nPrevious, {action: "previous"}, function() {
+			/* Disallow paging event during a current paging event */
+			if ( typeof oSettings.iPagingLoopStart != 'undefined' && oSettings.iPagingLoopStart != -1 )
+			{
+				return;
+			}
+
+			oSettings.iPagingLoopStart = oSettings._iDisplayStart;
+			oSettings.iPagingEnd = oSettings._iDisplayStart - oSettings._iDisplayLength;
+
+			/* Correct for underrun */
+			if ( oSettings.iPagingEnd < 0 )
+			{
+				oSettings.iPagingEnd = 0;
+			}
+
+			var iTween = $.fn.dataTableExt.oPagination.iTweenTime;
+			var innerLoop = function () {
+				if ( oSettings.iPagingLoopStart > oSettings.iPagingEnd ) {
+					oSettings.iPagingLoopStart--;
+					oSettings._iDisplayStart = oSettings.iPagingLoopStart;
+					fnCallbackDraw( oSettings );
+					setTimeout( function() { innerLoop(); }, iTween );
+				} else {
+					oSettings.iPagingLoopStart = -1;
+				}
+			};
+			innerLoop();
+		} );
+
+		oSettings.oApi._fnBindAction( nNext, {action: "next"}, function() {
+			/* Disallow paging event during a current paging event */
+			if ( typeof oSettings.iPagingLoopStart != 'undefined' && oSettings.iPagingLoopStart != -1 )
+			{
+				return;
+			}
+
+			oSettings.iPagingLoopStart = oSettings._iDisplayStart;
+
+			/* Make sure we are not over running the display array */
+			if ( oSettings._iDisplayStart + oSettings._iDisplayLength < oSettings.fnRecordsDisplay() )
+			{
+				oSettings.iPagingEnd = oSettings._iDisplayStart + oSettings._iDisplayLength;
+			}
+
+			var iTween = $.fn.dataTableExt.oPagination.iTweenTime;
+			var innerLoop = function () {
+				if ( oSettings.iPagingLoopStart < oSettings.iPagingEnd ) {
+					oSettings.iPagingLoopStart++;
+					oSettings._iDisplayStart = oSettings.iPagingLoopStart;
+					fnCallbackDraw( oSettings );
+					setTimeout( function() { innerLoop(); }, iTween );
+				} else {
+					oSettings.iPagingLoopStart = -1;
+				}
+			};
+			innerLoop();
+		} );
+	},
+
+	"fnUpdate": function ( oSettings, fnCallbackDraw )
+	{
+		if ( !oSettings.aanFeatures.p )
+		{
+			return;
+		}
+
+		/* Loop over each instance of the pager */
+		var an = oSettings.aanFeatures.p;
+		for ( var i=0, iLen=an.length ; i<iLen ; i++ )
+		{
+			if ( an[i].childNodes.length !== 0 )
+			{
+				an[i].childNodes[0].className =
+					( oSettings._iDisplayStart === 0 ) ?
+					oSettings.oClasses.sPagePrevDisabled : oSettings.oClasses.sPagePrevEnabled;
+
+				an[i].childNodes[1].className =
+					( oSettings.fnDisplayEnd() == oSettings.fnRecordsDisplay() ) ?
+					oSettings.oClasses.sPageNextDisabled : oSettings.oClasses.sPageNextEnabled;
+			}
+		}
+	}
+};
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-plugins/pagination/extjs/source.js
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-plugins/pagination/extjs/source.js	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-plugins/pagination/extjs/source.js	(revision 3761)
@@ -0,0 +1,137 @@
+/**
+ * This pagination plug-in provides pagination controls for DataTables which
+ * match the style and interaction of the ExtJS library's grid component.
+ *
+ *  @name ExtJS style
+ *  @summary Pagination in the styling of ExtJS
+ *  @author [Zach Curtis](http://zachariahtimothy.wordpress.com/)
+ *
+ *  @example
+ *    $(document).ready(function() {
+ *        $('#example').dataTable( {
+ *            "sPaginationType": "extStyle"
+ *        } );
+ *    } );
+ */
+
+$.fn.dataTableExt.oApi.fnExtStylePagingInfo = function ( oSettings )
+{
+	return {
+		"iStart":         oSettings._iDisplayStart,
+		"iEnd":           oSettings.fnDisplayEnd(),
+		"iLength":        oSettings._iDisplayLength,
+		"iTotal":         oSettings.fnRecordsTotal(),
+		"iFilteredTotal": oSettings.fnRecordsDisplay(),
+		"iPage":          oSettings._iDisplayLength === -1 ?
+			0 : Math.ceil( oSettings._iDisplayStart / oSettings._iDisplayLength ),
+		"iTotalPages":    oSettings._iDisplayLength === -1 ?
+			0 : Math.ceil( oSettings.fnRecordsDisplay() / oSettings._iDisplayLength )
+	};
+};
+
+$.fn.dataTableExt.oPagination.extStyle = {
+    
+
+    "fnInit": function (oSettings, nPaging, fnCallbackDraw) {
+        
+        var oPaging = oSettings.oInstance.fnExtStylePagingInfo();
+
+        nFirst = $('<span/>', { 'class': 'paginate_button first' , text : "<<" });
+        nPrevious = $('<span/>', { 'class': 'paginate_button previous' , text : "<" });
+        nNext = $('<span/>', { 'class': 'paginate_button next' , text : ">" });
+        nLast = $('<span/>', { 'class': 'paginate_button last' , text : ">>" });
+        nPageTxt = $("<span />", { text: 'Page' });
+        nPageNumBox = $('<input />', { type: 'text', val: 1, 'class': 'pageinate_input_box' });
+        nPageOf = $('<span />', { text: '/' });
+        nTotalPages = $('<span />', { class :  "paginate_total" , text : oPaging.iTotalPages });
+
+        
+        $(nPaging)
+            .append(nFirst)
+            .append(nPrevious)
+            .append(nPageTxt)
+            .append(nPageNumBox)
+            .append(nPageOf)
+            .append(nTotalPages)
+            .append(nNext)
+            .append(nLast);
+  
+        nFirst.click(function () {
+            if( $(this).hasClass("disabled") )
+                return;
+            oSettings.oApi._fnPageChange(oSettings, "first");
+            fnCallbackDraw(oSettings);
+        }).bind('selectstart', function () { return false; });
+  
+        nPrevious.click(function () {
+            if( $(this).hasClass("disabled") )
+                return;
+            oSettings.oApi._fnPageChange(oSettings, "previous");
+            fnCallbackDraw(oSettings);
+        }).bind('selectstart', function () { return false; });
+  
+        nNext.click(function () {
+            if( $(this).hasClass("disabled") )
+                return;
+            oSettings.oApi._fnPageChange(oSettings, "next");
+            fnCallbackDraw(oSettings);
+        }).bind('selectstart', function () { return false; });
+  
+        nLast.click(function () {
+            if( $(this).hasClass("disabled") )
+                return;
+            oSettings.oApi._fnPageChange(oSettings, "last");
+            fnCallbackDraw(oSettings);
+        }).bind('selectstart', function () { return false; });
+  
+        nPageNumBox.change(function () {
+            var pageValue = parseInt($(this).val(), 10) - 1 ; // -1 because pages are 0 indexed, but the UI is 1
+            var oPaging = oSettings.oInstance.fnPagingInfo();
+            
+            if(pageValue === NaN || pageValue<0 ){
+                pageValue = 0;
+            }else if(pageValue >= oPaging.iTotalPages ){
+                pageValue = oPaging.iTotalPages -1;
+            }
+            oSettings.oApi._fnPageChange(oSettings, pageValue);
+            fnCallbackDraw(oSettings);
+        });
+  
+    },
+  
+  
+    "fnUpdate": function (oSettings, fnCallbackDraw) {
+        if (!oSettings.aanFeatures.p) {
+            return;
+        }
+        
+        var oPaging = oSettings.oInstance.fnExtStylePagingInfo();
+  
+        /* Loop over each instance of the pager */
+        var an = oSettings.aanFeatures.p;
+
+        $(an).find('span.paginate_total').html(oPaging.iTotalPages);
+        $(an).find('.pageinate_input_box').val(oPaging.iPage+1);
+                
+        $(an).each(function(index,item) {
+
+            var $item = $(item);
+           
+            if (oPaging.iPage == 0) {
+                var prev = $item.find('span.paginate_button.first').add($item.find('span.paginate_button.previous'));
+                prev.addClass("disabled");
+            }else {
+                var prev = $item.find('span.paginate_button.first').add($item.find('span.paginate_button.previous'));
+                prev.removeClass("disabled");
+            }
+  
+            if (oPaging.iPage+1 == oPaging.iTotalPages) {
+                var next = $item.find('span.paginate_button.last').add($item.find('span.paginate_button.next'));
+                next.addClass("disabled");
+            }else {
+                var next = $item.find('span.paginate_button.last').add($item.find('span.paginate_button.next'));
+                next.removeClass("disabled");
+            }
+        });
+    }
+};
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-plugins/pagination/input/source.js
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-plugins/pagination/input/source.js	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-plugins/pagination/input/source.js	(revision 3761)
@@ -0,0 +1,228 @@
+/**
+ * Sometimes for quick navigation, it can be useful to allow an end user to
+ * enter which page they wish to jump to manually. This paging control uses a
+ * text input box to accept new paging numbers (arrow keys are also allowed
+ * for), and four standard navigation buttons are also presented to the end
+ * user.
+ *
+ *  @name Navigation with text input
+ *  @summary Shows an input element into which the user can type a page number
+ *  @author [Allan Jardine](http://sprymedia.co.uk)
+ *  @author [Gordey Doronin](http://github.com/GDoronin)
+ *
+ *  @example
+ *    $(document).ready(function() {
+ *        $('#example').dataTable( {
+ *            "pagingType": "input"
+ *        } );
+ *    } );
+ */
+
+(function ($) {
+	function calcDisableClasses(oSettings) {
+		var start = oSettings._iDisplayStart;
+		var length = oSettings._iDisplayLength;
+		var visibleRecords = oSettings.fnRecordsDisplay();
+		var all = length === -1;
+
+		// Gordey Doronin: Re-used this code from main jQuery.dataTables source code. To be consistent.
+		var page = all ? 0 : Math.ceil(start / length);
+		var pages = all ? 1 : Math.ceil(visibleRecords / length);
+
+		var disableFirstPrevClass = (page > 0 ? '' : oSettings.oClasses.sPageButtonDisabled);
+		var disableNextLastClass = (page < pages - 1 ? '' : oSettings.oClasses.sPageButtonDisabled);
+
+		return {
+			'first': disableFirstPrevClass,
+			'previous': disableFirstPrevClass,
+			'next': disableNextLastClass,
+			'last': disableNextLastClass
+		};
+	}
+
+	function calcCurrentPage(oSettings) {
+		return Math.ceil(oSettings._iDisplayStart / oSettings._iDisplayLength) + 1;
+	}
+
+	function calcPages(oSettings) {
+		return Math.ceil(oSettings.fnRecordsDisplay() / oSettings._iDisplayLength);
+	}
+
+	var firstClassName = 'first';
+	var previousClassName = 'previous';
+	var nextClassName = 'next';
+	var lastClassName = 'last';
+
+	var paginateClassName = 'paginate';
+	var paginatePageClassName = 'paginate_page';
+	var paginateInputClassName = 'paginate_input';
+	var paginateTotalClassName = 'paginate_total';
+
+	$.fn.dataTableExt.oPagination.input = {
+		'fnInit': function (oSettings, nPaging, fnCallbackDraw) {
+			var nFirst = document.createElement('span');
+			var nPrevious = document.createElement('span');
+			var nNext = document.createElement('span');
+			var nLast = document.createElement('span');
+			var nInput = document.createElement('input');
+			var nTotal = document.createElement('span');
+			var nInfo = document.createElement('span');
+
+			var language = oSettings.oLanguage.oPaginate;
+			var classes = oSettings.oClasses;
+			var info = language.info || 'Page _INPUT_ of _TOTAL_';
+
+			nFirst.innerHTML = language.sFirst;
+			nPrevious.innerHTML = language.sPrevious;
+			nNext.innerHTML = language.sNext;
+			nLast.innerHTML = language.sLast;
+
+			nFirst.className = firstClassName + ' ' + classes.sPageButton;
+			nPrevious.className = previousClassName + ' ' + classes.sPageButton;
+			nNext.className = nextClassName + ' ' + classes.sPageButton;
+			nLast.className = lastClassName + ' ' + classes.sPageButton;
+
+			nInput.className = paginateInputClassName;
+			nTotal.className = paginateTotalClassName;
+
+			if (oSettings.sTableId !== '') {
+				nPaging.setAttribute('id', oSettings.sTableId + '_' + paginateClassName);
+				nFirst.setAttribute('id', oSettings.sTableId + '_' + firstClassName);
+				nPrevious.setAttribute('id', oSettings.sTableId + '_' + previousClassName);
+				nNext.setAttribute('id', oSettings.sTableId + '_' + nextClassName);
+				nLast.setAttribute('id', oSettings.sTableId + '_' + lastClassName);
+			}
+
+			nInput.type = 'text';
+
+			info = info.replace(/_INPUT_/g, '</span>' + nInput.outerHTML + '<span>');
+			info = info.replace(/_TOTAL_/g, '</span>' + nTotal.outerHTML + '<span>');
+			nInfo.innerHTML = '<span>' + info + '</span>';
+
+			nPaging.appendChild(nFirst);
+			nPaging.appendChild(nPrevious);
+			$(nInfo).children().each(function (i, n) {
+			    nPaging.appendChild(n);
+			});
+			nPaging.appendChild(nNext);
+			nPaging.appendChild(nLast);
+
+			$(nFirst).click(function() {
+				var iCurrentPage = calcCurrentPage(oSettings);
+				if (iCurrentPage !== 1) {
+					oSettings.oApi._fnPageChange(oSettings, 'first');
+					fnCallbackDraw(oSettings);
+				}
+			});
+
+			$(nPrevious).click(function() {
+				var iCurrentPage = calcCurrentPage(oSettings);
+				if (iCurrentPage !== 1) {
+					oSettings.oApi._fnPageChange(oSettings, 'previous');
+					fnCallbackDraw(oSettings);
+				}
+			});
+
+			$(nNext).click(function() {
+				var iCurrentPage = calcCurrentPage(oSettings);
+				if (iCurrentPage !== calcPages(oSettings)) {
+					oSettings.oApi._fnPageChange(oSettings, 'next');
+					fnCallbackDraw(oSettings);
+				}
+			});
+
+			$(nLast).click(function() {
+				var iCurrentPage = calcCurrentPage(oSettings);
+				if (iCurrentPage !== calcPages(oSettings)) {
+					oSettings.oApi._fnPageChange(oSettings, 'last');
+					fnCallbackDraw(oSettings);
+				}
+			});
+
+			$(nPaging).find('.' + paginateInputClassName).keyup(function (e) {
+				// 38 = up arrow, 39 = right arrow
+				if (e.which === 38 || e.which === 39) {
+					this.value++;
+				}
+				// 37 = left arrow, 40 = down arrow
+				else if ((e.which === 37 || e.which === 40) && this.value > 1) {
+					this.value--;
+				}
+
+				if (this.value === '' || this.value.match(/[^0-9]/)) {
+					/* Nothing entered or non-numeric character */
+					this.value = this.value.replace(/[^\d]/g, ''); // don't even allow anything but digits
+					return;
+				}
+
+				var iNewStart = oSettings._iDisplayLength * (this.value - 1);
+				if (iNewStart < 0) {
+					iNewStart = 0;
+				}
+				if (iNewStart >= oSettings.fnRecordsDisplay()) {
+					iNewStart = (Math.ceil((oSettings.fnRecordsDisplay()) / oSettings._iDisplayLength) - 1) * oSettings._iDisplayLength;
+				}
+
+				oSettings._iDisplayStart = iNewStart;
+				oSettings.oInstance.trigger("page.dt", oSettings);
+				fnCallbackDraw(oSettings);
+			});
+
+			// Take the brutal approach to cancelling text selection.
+			$('span', nPaging).bind('mousedown', function () { return false; });
+			$('span', nPaging).bind('selectstart', function() { return false; });
+
+			// If we can't page anyway, might as well not show it.
+			var iPages = calcPages(oSettings);
+			if (iPages <= 1) {
+				$(nPaging).hide();
+			}
+		},
+
+		'fnUpdate': function (oSettings) {
+			if (!oSettings.aanFeatures.p) {
+				return;
+			}
+
+			var iPages = calcPages(oSettings);
+			var iCurrentPage = calcCurrentPage(oSettings);
+
+			var an = oSettings.aanFeatures.p;
+			if (iPages <= 1) // hide paging when we can't page
+			{
+				$(an).hide();
+				return;
+			}
+
+			var disableClasses = calcDisableClasses(oSettings);
+
+			$(an).show();
+
+			// Enable/Disable `first` button.
+			$(an).children('.' + firstClassName)
+				.removeClass(oSettings.oClasses.sPageButtonDisabled)
+				.addClass(disableClasses[firstClassName]);
+
+			// Enable/Disable `prev` button.
+			$(an).children('.' + previousClassName)
+				.removeClass(oSettings.oClasses.sPageButtonDisabled)
+				.addClass(disableClasses[previousClassName]);
+
+			// Enable/Disable `next` button.
+			$(an).children('.' + nextClassName)
+				.removeClass(oSettings.oClasses.sPageButtonDisabled)
+				.addClass(disableClasses[nextClassName]);
+
+			// Enable/Disable `last` button.
+			$(an).children('.' + lastClassName)
+				.removeClass(oSettings.oClasses.sPageButtonDisabled)
+				.addClass(disableClasses[lastClassName]);
+
+			// Paginate of N pages text
+			$(an).find('.' + paginateTotalClassName).html(iPages);
+
+			// Current page number input value
+			$(an).find('.' + paginateInputClassName).val(iCurrentPage);
+		}
+	};
+})(jQuery);
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-plugins/pagination/select/source.js
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-plugins/pagination/select/source.js	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-plugins/pagination/select/source.js	(revision 3761)
@@ -0,0 +1,106 @@
+/**
+ * This pagination plug-in provides a `dt-tag select` menu with the list of the page
+ * numbers that are available for viewing.
+ *
+ *  @name Select list
+ *  @summary Show a `dt-tag select` list of pages the user can pick from.
+ *  @author _jneilliii_
+ *
+ *  @example
+ *    $(document).ready(function() {
+ *        $('#example').dataTable( {
+ *            "sPaginationType": "listbox"
+ *        } );
+ *    } );
+ */
+
+var paginateSelectClassName = 'paginate_select';
+var paginateTotalClassName = 'paginate_total';
+
+$.fn.dataTableExt.oPagination.listbox = {
+	/*
+	 * Function: oPagination.listbox.fnInit
+	 * Purpose:  Initalise dom elements required for pagination with listbox input
+	 * Returns:  -
+	 * Inputs:   object:oSettings - dataTables settings object
+	 *             node:nPaging - the DIV which contains this pagination control
+	 *             function:fnCallbackDraw - draw function which must be called on update
+	 */
+	"fnInit": function (oSettings, nPaging, fnCallbackDraw) {
+		var nInput = document.createElement('select');
+		var nTotal = document.createElement('span');
+		var nInfo = document.createElement('span');
+
+		var language = oSettings.oLanguage.oPaginate;
+		var info = language.info || 'Page _INPUT_ of _TOTAL_';
+
+		nInput.className = paginateSelectClassName;
+		nTotal.className = paginateTotalClassName;
+
+		if (oSettings.sTableId !== '') {
+			nPaging.setAttribute('id', oSettings.sTableId + '_paginate');
+		}
+		nInput.style.display = "inline";
+
+		info = info.replace(/_INPUT_/g, '</span>' + nInput.outerHTML + '<span>');
+		info = info.replace(/_TOTAL_/g, '</span>' + nTotal.outerHTML);
+		nInfo.innerHTML = '<span>' + info;
+		
+		$(nInfo).children().each(function (i, n) {
+				nPaging.appendChild(n);
+		});
+
+		$(nPaging).find('.' + paginateSelectClassName).change(function (e) { // Set DataTables page property and redraw the grid on listbox change event.
+			if (this.value === "" || this.value.match(/[^0-9]/)) { /* Nothing entered or non-numeric character */
+				return;
+			}
+			var iNewStart = oSettings._iDisplayLength * (this.value - 1);
+			if (iNewStart > oSettings.fnRecordsDisplay()) { /* Display overrun */
+				oSettings._iDisplayStart = (Math.ceil((oSettings.fnRecordsDisplay() - 1) / oSettings._iDisplayLength) - 1) * oSettings._iDisplayLength;
+				fnCallbackDraw(oSettings);
+				return;
+			}
+			oSettings._iDisplayStart = iNewStart;
+			fnCallbackDraw(oSettings);
+		}); /* Take the brutal approach to cancelling text selection */
+		$('span', nPaging).bind('mousedown', function () {
+			return false;
+		});
+		$('span', nPaging).bind('selectstart', function () {
+			return false;
+		});
+	},
+	 
+	/*
+	 * Function: oPagination.listbox.fnUpdate
+	 * Purpose:  Update the listbox element
+	 * Returns:  -
+	 * Inputs:   object:oSettings - dataTables settings object
+	 *             function:fnCallbackDraw - draw function which must be called on update
+	 */
+	"fnUpdate": function (oSettings, fnCallbackDraw) {
+		if (!oSettings.aanFeatures.p) {
+			return;
+		}
+		var iPages = Math.ceil((oSettings.fnRecordsDisplay()) / oSettings._iDisplayLength);
+		var iCurrentPage = Math.ceil(oSettings._iDisplayStart / oSettings._iDisplayLength) + 1; /* Loop over each instance of the pager */
+		var an = oSettings.aanFeatures.p;
+		
+		var elSel = $(an).find('.' + paginateSelectClassName);
+
+		if(elSel.children('option').length != iPages) {
+			for (var j = 0; j < iPages; j++) { //add the pages
+				var oOption = document.createElement('option');
+				oOption.text = j + 1;
+				oOption.value = j + 1;
+				
+				elSel.append(oOption);
+				
+			}
+		}
+
+		elSel.val(iCurrentPage);
+
+		$(an).find('.' + paginateTotalClassName).html(iPages);
+	}
+};
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-plugins/pagination/ellipses/source.js
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-plugins/pagination/ellipses/source.js	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-plugins/pagination/ellipses/source.js	(revision 3761)
@@ -0,0 +1,160 @@
+/*
+ * This plug-in adds another pagination option similar to `full_numbers`, except
+ * it adds ellipses around the page numbers when applicable. You can set how
+ * many page numbers should be displayed with the iShowPages option.
+ * 
+ * This plug- in extends the oStdClasses object with the following properties:
+ * sPageEllipsis, sPageNumber and sPageNumbers.
+ * 
+ * It also extends the oSettings object with the following properties:
+ * _iShowPages, _iShowPagesHalf, _iCurrentPage, _iTotalPages, _iFirstPage and
+ * _iLastPage.
+ *
+ * Note that DataTables 1.10 has this ability built in. As such, this plug-ins
+ * has been marked as deprecated, but may still be useful for if you are using
+ * an old version of DataTables.
+ *
+ * @name Ellipses
+ * @summary Show ellipses in the pagination control where there is a gap in numbers
+ * @deprecated
+ * @author [Dave Kennedy](http://daveden.wordpress.com/)
+ * @example
+ *     $(document).ready(function() {
+ *         $('#example').dataTable({
+ *             'sPaginationType': 'ellipses'
+ *         });
+ *     });
+ */
+
+$.extend($.fn.dataTableExt.oStdClasses, {
+    'sPageEllipsis': 'paginate_ellipsis',
+    'sPageNumber': 'paginate_number',
+    'sPageNumbers': 'paginate_numbers'
+});
+
+$.fn.dataTableExt.oPagination.ellipses = {
+    'oDefaults': {
+        'iShowPages': 5
+    },
+    'fnClickHandler': function(e) {
+        var fnCallbackDraw = e.data.fnCallbackDraw,
+            oSettings = e.data.oSettings,
+            sPage = e.data.sPage;
+
+        if ($(this).is('[disabled]')) {
+            return false;
+        }
+
+        oSettings.oApi._fnPageChange(oSettings, sPage);
+        fnCallbackDraw(oSettings);
+
+        return true;
+    },
+    // fnInit is called once for each instance of pager
+    'fnInit': function(oSettings, nPager, fnCallbackDraw) {
+        var oClasses = oSettings.oClasses,
+            oLang = oSettings.oLanguage.oPaginate,
+            that = this;
+
+        var iShowPages = oSettings.oInit.iShowPages || this.oDefaults.iShowPages,
+            iShowPagesHalf = Math.floor(iShowPages / 2);
+
+        $.extend(oSettings, {
+            _iShowPages: iShowPages,
+            _iShowPagesHalf: iShowPagesHalf,
+        });
+
+        var oFirst = $('<a class="' + oClasses.sPageButton + ' ' + oClasses.sPageFirst + '">' + oLang.sFirst + '</a>'),
+            oPrevious = $('<a class="' + oClasses.sPageButton + ' ' + oClasses.sPagePrevious + '">' + oLang.sPrevious + '</a>'),
+            oNumbers = $('<span class="' + oClasses.sPageNumbers + '"></span>'),
+            oNext = $('<a class="' + oClasses.sPageButton + ' ' + oClasses.sPageNext + '">' + oLang.sNext + '</a>'),
+            oLast = $('<a class="' + oClasses.sPageButton + ' ' + oClasses.sPageLast + '">' + oLang.sLast + '</a>');
+
+        oFirst.click({ 'fnCallbackDraw': fnCallbackDraw, 'oSettings': oSettings, 'sPage': 'first' }, that.fnClickHandler);
+        oPrevious.click({ 'fnCallbackDraw': fnCallbackDraw, 'oSettings': oSettings, 'sPage': 'previous' }, that.fnClickHandler);
+        oNext.click({ 'fnCallbackDraw': fnCallbackDraw, 'oSettings': oSettings, 'sPage': 'next' }, that.fnClickHandler);
+        oLast.click({ 'fnCallbackDraw': fnCallbackDraw, 'oSettings': oSettings, 'sPage': 'last' }, that.fnClickHandler);
+
+        // Draw
+        $(nPager).append(oFirst, oPrevious, oNumbers, oNext, oLast);
+    },
+    // fnUpdate is only called once while table is rendered
+    'fnUpdate': function(oSettings, fnCallbackDraw) {
+        var oClasses = oSettings.oClasses,
+            that = this;
+
+        var tableWrapper = oSettings.nTableWrapper;
+
+        // Update stateful properties
+        this.fnUpdateState(oSettings);
+
+        if (oSettings._iCurrentPage === 1) {
+            $('.' + oClasses.sPageFirst, tableWrapper).attr('disabled', true);
+            $('.' + oClasses.sPagePrevious, tableWrapper).attr('disabled', true);
+        } else {
+            $('.' + oClasses.sPageFirst, tableWrapper).removeAttr('disabled');
+            $('.' + oClasses.sPagePrevious, tableWrapper).removeAttr('disabled');
+        }
+
+        if (oSettings._iTotalPages === 0 || oSettings._iCurrentPage === oSettings._iTotalPages) {
+            $('.' + oClasses.sPageNext, tableWrapper).attr('disabled', true);
+            $('.' + oClasses.sPageLast, tableWrapper).attr('disabled', true);
+        } else {
+            $('.' + oClasses.sPageNext, tableWrapper).removeAttr('disabled');
+            $('.' + oClasses.sPageLast, tableWrapper).removeAttr('disabled');
+        }
+
+        var i, oNumber, oNumbers = $('.' + oClasses.sPageNumbers, tableWrapper);
+
+        // Erase
+        oNumbers.html('');
+
+        for (i = oSettings._iFirstPage; i <= oSettings._iLastPage; i++) {
+            oNumber = $('<a class="' + oClasses.sPageButton + ' ' + oClasses.sPageNumber + '">' + oSettings.fnFormatNumber(i) + '</a>');
+
+            if (oSettings._iCurrentPage === i) {
+                oNumber.attr('active', true).attr('disabled', true);
+            } else {
+                oNumber.click({ 'fnCallbackDraw': fnCallbackDraw, 'oSettings': oSettings, 'sPage': i - 1 }, that.fnClickHandler);
+            }
+
+            // Draw
+            oNumbers.append(oNumber);
+        }
+
+        // Add ellipses
+        if (1 < oSettings._iFirstPage) {
+            oNumbers.prepend('<span class="' + oClasses.sPageEllipsis + '">...</span>');
+        }
+
+        if (oSettings._iLastPage < oSettings._iTotalPages) {
+            oNumbers.append('<span class="' + oClasses.sPageEllipsis + '">...</span>');
+        }
+    },
+    // fnUpdateState used to be part of fnUpdate
+    // The reason for moving is so we can access current state info before fnUpdate is called
+    'fnUpdateState': function(oSettings) {
+        var iCurrentPage = Math.ceil((oSettings._iDisplayStart + 1) / oSettings._iDisplayLength),
+            iTotalPages = Math.ceil(oSettings.fnRecordsDisplay() / oSettings._iDisplayLength),
+            iFirstPage = iCurrentPage - oSettings._iShowPagesHalf,
+            iLastPage = iCurrentPage + oSettings._iShowPagesHalf;
+
+        if (iTotalPages < oSettings._iShowPages) {
+            iFirstPage = 1;
+            iLastPage = iTotalPages;
+        } else if (iFirstPage < 1) {
+            iFirstPage = 1;
+            iLastPage = oSettings._iShowPages;
+        } else if (iLastPage > iTotalPages) {
+            iFirstPage = (iTotalPages - oSettings._iShowPages) + 1;
+            iLastPage = iTotalPages;
+        }
+
+        $.extend(oSettings, {
+            _iCurrentPage: iCurrentPage,
+            _iTotalPages: iTotalPages,
+            _iFirstPage: iFirstPage,
+            _iLastPage: iLastPage
+        });
+    }
+};
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-plugins/pagination/simple_numbers_no_ellipses/source.js
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-plugins/pagination/simple_numbers_no_ellipses/source.js	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-plugins/pagination/simple_numbers_no_ellipses/source.js	(revision 3761)
@@ -0,0 +1,59 @@
+/**
+ *  Plug-in offers the same functionality as `simple_numbers` pagination type 
+ *  (see `pagingType` option) but without ellipses.
+ *
+ *  See [example](http://www.gyrocode.com/articles/jquery-datatables-pagination-without-ellipses) for demonstration.
+ *
+ *  @name Simple Numbers - No Ellipses
+ *  @summary Same pagination as 'simple_numbers' but without ellipses
+ *  @author [Michael Ryvkin](http://www.gyrocode.com)
+ *
+ *  @example
+ *    $(document).ready(function() {
+ *        $('#example').dataTable( {
+ *            "pagingType": "simple_numbers_no_ellipses"
+ *        } );
+ *    } );
+ */
+
+$.fn.DataTable.ext.pager.simple_numbers_no_ellipses = function(page, pages){
+   var numbers = [];
+   var buttons = $.fn.DataTable.ext.pager.numbers_length;
+   var half = Math.floor( buttons / 2 );
+
+   var _range = function ( len, start ){
+      var end;
+   
+      if ( typeof start === "undefined" ){ 
+         start = 0;
+         end = len;
+
+      } else {
+         end = start;
+         start = len;
+      }
+
+      var out = []; 
+      for ( var i = start ; i < end; i++ ){ out.push(i); }
+   
+      return out;
+   };
+    
+
+   if ( pages <= buttons ) {
+      numbers = _range( 0, pages );
+
+   } else if ( page <= half ) {
+      numbers = _range( 0, buttons);
+
+   } else if ( page >= pages - 1 - half ) {
+      numbers = _range( pages - buttons, pages );
+
+   } else {
+      numbers = _range( page - half, page + half + 1);
+   }
+
+   numbers.DT_el = 'span';
+
+   return [ 'previous', numbers, 'next' ];
+};
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-plugins/features/searchHighlight/source.min.js
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-plugins/features/searchHighlight/source.min.js	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-plugins/features/searchHighlight/source.min.js	(revision 3761)
@@ -0,0 +1,28 @@
+/*!
+   Copyright 2014 SpryMedia Ltd.
+
+ License      MIT - http://datatables.net/license/mit
+
+ This feature plug-in for DataTables will highlight search terms in the
+ DataTable as they are entered into the main search input element, or via the
+ `search()` API method.
+
+ It depends upon the jQuery Highlight plug-in by Bartek Szopka:
+    http://bartaz.github.io/sandbox.js/jquery.highlight.js
+
+ Search highlighting in DataTables can be enabled by:
+
+ * Adding the class `searchHighlight` to the HTML table
+ * Setting the `searchHighlight` parameter in the DataTables initialisation to
+   be true
+ * Setting the `searchHighlight` parameter to be true in the DataTables
+   defaults (thus causing all tables to have this feature) - i.e.
+   `$.fn.dataTable.defaults.searchHighlight = true`.
+
+ For more detailed information please see:
+     http://datatables.net/blog/2014-10-22
+ SearchHighlight for DataTables v1.0.1
+ 2014 SpryMedia Ltd - datatables.net/license
+*/
+(function(h,g,c){function e(d,b){d.unhighlight();b.rows({filter:"applied"}).data().length&&(b.columns().every(function(){this.nodes().flatten().to$().unhighlight({className:"column_highlight"});this.nodes().flatten().to$().highlight(this.search().trim().split(/\s+/),{className:"column_highlight"})}),d.highlight(b.search().trim().split(/\s+/)))}c(g).on("init.dt.dth",function(d,b,k){if("dt"===d.namespace){var a=new c.fn.dataTable.Api(b),f=c(a.table().body());if(c(a.table().node()).hasClass("searchHighlight")||
+b.oInit.searchHighlight||c.fn.dataTable.defaults.searchHighlight)a.on("draw.dt.dth column-visibility.dt.dth column-reorder.dt.dth",function(){e(f,a)}).on("destroy",function(){a.off("draw.dt.dth column-visibility.dt.dth column-reorder.dt.dth")}),a.search()&&e(f,a)}})})(window,document,jQuery);
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-plugins/features/searchHighlight/jquery.highlight.js
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-plugins/features/searchHighlight/jquery.highlight.js	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-plugins/features/searchHighlight/jquery.highlight.js	(revision 3761)
@@ -0,0 +1,140 @@
+/*
+ * jQuery Highlight plugin
+ *
+ * Based on highlight v3 by Johann Burkard
+ * http://johannburkard.de/blog/programming/javascript/highlight-javascript-text-higlighting-jquery-plugin.html
+ *
+ * Code a little bit refactored and cleaned (in my humble opinion).
+ * Most important changes:
+ *  - has an option to highlight only entire words (wordsOnly - false by default),
+ *  - has an option to be case sensitive (caseSensitive - false by default)
+ *  - highlight element tag and class names can be specified in options
+ *
+ * Usage:
+ *   // wrap every occurrance of text 'lorem' in content
+ *   // with <span class='highlight'> (default options)
+ *   $('#content').highlight('lorem');
+ *
+ *   // search for and highlight more terms at once
+ *   // so you can save some time on traversing DOM
+ *   $('#content').highlight(['lorem', 'ipsum']);
+ *   $('#content').highlight('lorem ipsum');
+ *
+ *   // search only for entire word 'lorem'
+ *   $('#content').highlight('lorem', { wordsOnly: true });
+ *
+ *   // don't ignore case during search of term 'lorem'
+ *   $('#content').highlight('lorem', { caseSensitive: true });
+ *
+ *   // wrap every occurrance of term 'ipsum' in content
+ *   // with <em class='important'>
+ *   $('#content').highlight('ipsum', { element: 'em', className: 'important' });
+ *
+ *   // remove default highlight
+ *   $('#content').unhighlight();
+ *
+ *   // remove custom highlight
+ *   $('#content').unhighlight({ element: 'em', className: 'important' });
+ *
+ *
+ * Copyright (c) 2009 Bartek Szopka
+ *
+ * Licensed under MIT license.
+ *
+ */
+
+jQuery.extend({
+    highlight: function (node, re, nodeName, className) {
+        if (node.nodeType === 3) {
+            var match = node.data.match(re);
+            if (!match || match.length == 0) {
+              return 0;
+            }
+
+            // If there is a match, return the first non-empty string result.  This guards against regex that
+            // are incredibly broad (e.g., "^", ".") which will match everything.  If we don't protect against
+            // that, very broad regex cause the system to hang as it tries to resolve every node.
+            var firstMatch = null;
+            for (var index = 0; index < match.length; index++) {
+              var item = match[index];
+              if (item != null && item != '') {
+                firstMatch = item;
+                break;
+              }
+            }
+            if (firstMatch) {
+                var highlight = document.createElement(nodeName || 'span');
+                highlight.className = className || 'highlight';
+                var firstMatchIndex = node.data.indexOf(firstMatch);
+                var wordNode = node.splitText(firstMatchIndex);
+                wordNode.splitText(firstMatch.length);
+                var wordClone = wordNode.cloneNode(true);
+                highlight.appendChild(wordClone);
+                wordNode.parentNode.replaceChild(highlight, wordNode);
+                return 1; //skip added node in parent
+            }
+        } else if ((node.nodeType === 1 && node.childNodes) && // only element nodes that have children
+                !/(script|style)/i.test(node.tagName) && // ignore script and style nodes
+                !(node.tagName === nodeName.toUpperCase() && node.className === className)) { // skip if already highlighted
+            for (var i = 0; i < node.childNodes.length; i++) {
+                i += jQuery.highlight(node.childNodes[i], re, nodeName, className);
+            }
+        }
+        return 0;
+    }
+});
+
+jQuery.fn.unhighlight = function (options) {
+    var settings = { className: 'highlight', element: 'span' };
+    jQuery.extend(settings, options);
+
+    return this.find(settings.element + "." + settings.className).each(function () {
+        var parent = this.parentNode;
+        parent.replaceChild(this.firstChild, this);
+        parent.normalize();
+    }).end();
+};
+
+jQuery.fn.highlight = function (words, options) {
+    var settings = { className: 'highlight', element: 'span', caseSensitive: false, wordsOnly: false };
+    jQuery.extend(settings, options);
+
+    if (words.constructor === String) {
+        words = [words];
+    }
+    words = jQuery.grep(words, function(word, i){
+      return word != '';
+    });
+
+    // If we are not configured for regex matching, escape regex characters
+    if (jQuery.fn.highlight.options.escapeRegex) {
+      words = jQuery.map(words, function(word, i) {
+        return word.replace(/[-[\]{}()*+?.,\\^$|#\s]/g, "\\$&");
+      });
+    }
+    if (words.length == 0) { return this; };
+
+    var flag = settings.caseSensitive ? "" : "i";
+    var pattern = "(" + words.join("|") + ")";
+    if (settings.wordsOnly) {
+        pattern = "\\b" + pattern + "\\b";
+    }
+
+    try {
+      var re = new RegExp(pattern, flag);
+      return this.each(function () {
+        jQuery.highlight(this, re, settings.element, settings.className);
+      });
+    }
+    catch(e) {
+      // If the regex is invalid, we are going to leave the highlighting
+      // status unchanged.  This is likely caused when a user is putting
+      // in a regex that is not valid (or is incomplete).
+    }
+};
+
+// Define a global option for the plugin on whether or not we should escape regex when
+// performing the search.  By default we want to escape regex so that searching "^."
+// actually becomes a search for the literal "\^\."
+jQuery.fn.highlight.options = { escapeRegex: true };
+
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-plugins/features/searchHighlight/source.css
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-plugins/features/searchHighlight/source.css	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-plugins/features/searchHighlight/source.css	(revision 3761)
@@ -0,0 +1,11 @@
+
+
+table.dataTable span.highlight {
+  background-color: #FFFF88;
+  border-radius: 0.28571429rem;
+}
+
+table.dataTable span.column_highlight {
+  background-color: #ffcc99;
+  border-radius: 0.28571429rem;
+}
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-plugins/features/scrollResize/source.min.js
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-plugins/features/scrollResize/source.min.js	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables-plugins/features/scrollResize/source.min.js	(revision 3761)
@@ -0,0 +1,27 @@
+/*!
+   Copyright 2015 SpryMedia Ltd.
+
+ License      MIT - http://datatables.net/license/mit
+
+ This feature plug-in for DataTables will automatically change the DataTables
+ page length in order to fit inside its container. This can be particularly
+ useful for control panels and other interfaces which resize dynamically with
+ the user's browser window instead of scrolling.
+
+ Page resizing in DataTables can be enabled by using any one of the following
+ options:
+
+ * Setting the `scrollResize` parameter in the DataTables initialisation to
+   be true - i.e. `scrollResize: true`
+ * Setting the `scrollResize` parameter to be true in the DataTables
+   defaults (thus causing all tables to have this feature) - i.e.
+   `$.fn.dataTable.defaults.scrollResize = true`.
+ * Creating a new instance: `new $.fn.dataTable.ScrollResize( table );` where
+   `table` is a DataTable's API instance.
+ ScrollResize for DataTables v1.0.0
+ 2015 SpryMedia Ltd - datatables.net/license
+*/
+(function(a){"function"===typeof define&&define.amd?define(["jquery","datatables.net"],function(e){return a(e,window,document)}):"object"===typeof exports?module.exports=function(e,f){e||(e=window);f&&f.fn.dataTable||(f=require("datatables.net")(e,f).$);return a(f,e,e.document)}:a(jQuery,window,document)})(function(a,e,f,n){var k=function(c){var d=this,b=c.table();this.s={dt:c,host:a(b.container()).parent(),header:a(b.header()),footer:a(b.footer()),body:a(b.body()),container:a(b.container()),table:a(b.node())};
+b=this.s.host;"static"===b.css("position")&&b.css("position","relative");c.on("draw",function(){d._size()});this._attach();this._size()};k.prototype={_size:function(){var c=this.s,d=c.dt.table(),b=a(c.table).offset().top,g=c.host.height(),h=a("div.dataTables_scrollBody",d.container());g=g-b-(c.container.height()-(b+h.height()));a("div.dataTables_scrollBody",d.container()).css({maxHeight:g,height:g})},_attach:function(){var c=this,d=a("<iframe/>").css({position:"absolute",top:0,left:0,height:"100%",
+width:"100%",zIndex:-1,border:0}).attr("frameBorder","0").attr("src","about:blank");d[0].onload=function(){var b=this.contentDocument.body,g=b.offsetHeight,h=this.contentDocument;(h.defaultView||h.parentWindow).onresize=function(){var l=b.clientHeight||b.offsetHeight,m=h.documentElement.clientHeight;!l&&m&&(l=m);l!==g&&(g=l,c._size())}};d.appendTo(this.s.host).attr("data","about:blank")}};a.fn.dataTable.ScrollResize=k;a.fn.DataTable.ScrollResize=k;a(f).on("init.dt",function(c,d){"dt"===c.namespace&&
+(c=new a.fn.dataTable.Api(d),(d.oInit.scrollResize||a.fn.dataTable.defaults.scrollResize)&&new k(c))})});
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables/css/dataTables.dataTables.min.css
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables/css/dataTables.dataTables.min.css	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables/css/dataTables.dataTables.min.css	(revision 3761)
@@ -0,0 +1 @@
+table.dataTable td.dt-control{text-align:center;cursor:pointer}table.dataTable td.dt-control:before{height:1em;width:1em;margin-top:-9px;display:inline-block;color:white;border:.15em solid white;border-radius:1em;box-shadow:0 0 .2em #444;box-sizing:content-box;text-align:center;text-indent:0 !important;font-family:"Courier New",Courier,monospace;line-height:1em;content:"+";background-color:#31b131}table.dataTable tr.dt-hasChild td.dt-control:before{content:"-";background-color:#d33333}table.dataTable thead>tr>th.dt-orderable-asc,table.dataTable thead>tr>th.dt-orderable-desc,table.dataTable thead>tr>td.dt-orderable-asc,table.dataTable thead>tr>td.dt-orderable-desc{padding-right:30px}table.dataTable thead>tr>th:active,table.dataTable thead>tr>td:active{outline:none}table.dataTable thead>tr>th.dt-orderable-asc,table.dataTable thead>tr>th.dt-orderable-desc,table.dataTable thead>tr>td.dt-orderable-asc,table.dataTable thead>tr>td.dt-orderable-desc{cursor:pointer;position:relative}table.dataTable thead>tr>th.dt-orderable-asc:before,table.dataTable thead>tr>th.dt-orderable-asc:after,table.dataTable thead>tr>th.dt-orderable-desc:before,table.dataTable thead>tr>th.dt-orderable-desc:after,table.dataTable thead>tr>td.dt-orderable-asc:before,table.dataTable thead>tr>td.dt-orderable-asc:after,table.dataTable thead>tr>td.dt-orderable-desc:before,table.dataTable thead>tr>td.dt-orderable-desc:after{position:absolute;display:block;opacity:.125;right:1em;line-height:9px;font-size:.9em}table.dataTable thead>tr>th.dt-orderable-asc:before,table.dataTable thead>tr>th.dt-orderable-desc:before,table.dataTable thead>tr>td.dt-orderable-asc:before,table.dataTable thead>tr>td.dt-orderable-desc:before{bottom:50%;content:"â–´"}table.dataTable thead>tr>th.dt-orderable-asc:after,table.dataTable thead>tr>th.dt-orderable-desc:after,table.dataTable thead>tr>td.dt-orderable-asc:after,table.dataTable thead>tr>td.dt-orderable-desc:after{top:50%;content:"â–¾"}table.dataTable thead>tr>th.dt-ordering-asc:before,table.dataTable thead>tr>th.dt-ordering-desc:after,table.dataTable thead>tr>td.dt-ordering-asc:before,table.dataTable thead>tr>td.dt-ordering-desc:after{opacity:.6}div.dataTables_processing{position:absolute;top:50%;left:50%;width:200px;margin-left:-100px;margin-top:-26px;text-align:center;padding:2px}div.dataTables_processing>div:last-child{position:relative;width:80px;height:15px;margin:1em auto}div.dataTables_processing>div:last-child>div{position:absolute;top:0;width:13px;height:13px;border-radius:50%;background:rgba(13, 110, 253, 0.9);animation-timing-function:cubic-bezier(0, 1, 1, 0)}div.dataTables_processing>div:last-child>div:nth-child(1){left:8px;animation:datatables-loader-1 .6s infinite}div.dataTables_processing>div:last-child>div:nth-child(2){left:8px;animation:datatables-loader-2 .6s infinite}div.dataTables_processing>div:last-child>div:nth-child(3){left:32px;animation:datatables-loader-2 .6s infinite}div.dataTables_processing>div:last-child>div:nth-child(4){left:56px;animation:datatables-loader-3 .6s infinite}@keyframes datatables-loader-1{0%{transform:scale(0)}100%{transform:scale(1)}}@keyframes datatables-loader-3{0%{transform:scale(1)}100%{transform:scale(0)}}@keyframes datatables-loader-2{0%{transform:translate(0, 0)}100%{transform:translate(24px, 0)}}table.dataTable.nowrap th,table.dataTable.nowrap td{white-space:nowrap}table.dataTable th.dt-left,table.dataTable td.dt-left{text-align:left}table.dataTable th.dt-center,table.dataTable td.dt-center,table.dataTable td.dataTables_empty{text-align:center}table.dataTable th.dt-right,table.dataTable td.dt-right{text-align:right}table.dataTable th.dt-justify,table.dataTable td.dt-justify{text-align:justify}table.dataTable th.dt-nowrap,table.dataTable td.dt-nowrap{white-space:nowrap}table.dataTable thead th,table.dataTable thead td,table.dataTable tfoot th,table.dataTable tfoot td{text-align:left}table.dataTable thead th.dt-head-left,table.dataTable thead td.dt-head-left,table.dataTable tfoot th.dt-head-left,table.dataTable tfoot td.dt-head-left{text-align:left}table.dataTable thead th.dt-head-center,table.dataTable thead td.dt-head-center,table.dataTable tfoot th.dt-head-center,table.dataTable tfoot td.dt-head-center{text-align:center}table.dataTable thead th.dt-head-right,table.dataTable thead td.dt-head-right,table.dataTable tfoot th.dt-head-right,table.dataTable tfoot td.dt-head-right{text-align:right}table.dataTable thead th.dt-head-justify,table.dataTable thead td.dt-head-justify,table.dataTable tfoot th.dt-head-justify,table.dataTable tfoot td.dt-head-justify{text-align:justify}table.dataTable thead th.dt-head-nowrap,table.dataTable thead td.dt-head-nowrap,table.dataTable tfoot th.dt-head-nowrap,table.dataTable tfoot td.dt-head-nowrap{white-space:nowrap}table.dataTable tbody th.dt-body-left,table.dataTable tbody td.dt-body-left{text-align:left}table.dataTable tbody th.dt-body-center,table.dataTable tbody td.dt-body-center{text-align:center}table.dataTable tbody th.dt-body-right,table.dataTable tbody td.dt-body-right{text-align:right}table.dataTable tbody th.dt-body-justify,table.dataTable tbody td.dt-body-justify{text-align:justify}table.dataTable tbody th.dt-body-nowrap,table.dataTable tbody td.dt-body-nowrap{white-space:nowrap}table.dataTable{width:100%;margin:0 auto;clear:both;border-collapse:separate;border-spacing:0}table.dataTable thead th,table.dataTable tfoot th{font-weight:bold}table.dataTable thead th,table.dataTable thead td{padding:10px;border-bottom:1px solid rgba(0, 0, 0, 0.3)}table.dataTable thead th:active,table.dataTable thead td:active{outline:none}table.dataTable tfoot th,table.dataTable tfoot td{padding:10px 10px 6px 10px;border-top:1px solid rgba(0, 0, 0, 0.3)}table.dataTable tbody tr{background-color:transparent}table.dataTable tbody tr.selected>*{box-shadow:inset 0 0 0 9999px rgba(13, 110, 253, 0.9);color:white}table.dataTable tbody th,table.dataTable tbody td{padding:8px 10px}table.dataTable.row-border tbody th,table.dataTable.row-border tbody td,table.dataTable.display tbody th,table.dataTable.display tbody td{border-top:1px solid rgba(0, 0, 0, 0.15)}table.dataTable.row-border tbody tr:first-child th,table.dataTable.row-border tbody tr:first-child td,table.dataTable.display tbody tr:first-child th,table.dataTable.display tbody tr:first-child td{border-top:none}table.dataTable.cell-border tbody th,table.dataTable.cell-border tbody td{border-top:1px solid rgba(0, 0, 0, 0.15);border-right:1px solid rgba(0, 0, 0, 0.15)}table.dataTable.cell-border tbody tr th:first-child,table.dataTable.cell-border tbody tr td:first-child{border-left:1px solid rgba(0, 0, 0, 0.15)}table.dataTable.cell-border tbody tr:first-child th,table.dataTable.cell-border tbody tr:first-child td{border-top:none}table.dataTable.stripe>tbody>tr.odd>*,table.dataTable.display>tbody>tr.odd>*{box-shadow:inset 0 0 0 9999px rgba(0, 0, 0, 0.023)}table.dataTable.stripe>tbody>tr.odd.selected>*,table.dataTable.display>tbody>tr.odd.selected>*{box-shadow:inset 0 0 0 9999px rgba(13, 110, 253, 0.923)}table.dataTable.hover>tbody>tr:hover>*,table.dataTable.display>tbody>tr:hover>*{box-shadow:inset 0 0 0 9999px rgba(0, 0, 0, 0.035)}table.dataTable.hover>tbody>tr.selected:hover>*,table.dataTable.display>tbody>tr.selected:hover>*{box-shadow:inset 0 0 0 9999px rgba(13, 110, 253, 0.935)}table.dataTable.order-column>tbody tr>.sorting_1,table.dataTable.order-column>tbody tr>.sorting_2,table.dataTable.order-column>tbody tr>.sorting_3,table.dataTable.display>tbody tr>.sorting_1,table.dataTable.display>tbody tr>.sorting_2,table.dataTable.display>tbody tr>.sorting_3{box-shadow:inset 0 0 0 9999px rgba(0, 0, 0, 0.019)}table.dataTable.order-column>tbody 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253, 0.954)}table.dataTable.display>tbody>tr.odd.selected>.sorting_2,table.dataTable.order-column.stripe>tbody>tr.odd.selected>.sorting_2{box-shadow:inset 0 0 0 9999px rgba(13, 110, 253, 0.947)}table.dataTable.display>tbody>tr.odd.selected>.sorting_3,table.dataTable.order-column.stripe>tbody>tr.odd.selected>.sorting_3{box-shadow:inset 0 0 0 9999px rgba(13, 110, 253, 0.939)}table.dataTable.display>tbody>tr.even>.sorting_1,table.dataTable.order-column.stripe>tbody>tr.even>.sorting_1{box-shadow:inset 0 0 0 9999px rgba(0, 0, 0, 0.019)}table.dataTable.display>tbody>tr.even>.sorting_2,table.dataTable.order-column.stripe>tbody>tr.even>.sorting_2{box-shadow:inset 0 0 0 9999px rgba(0, 0, 0, 0.011)}table.dataTable.display>tbody>tr.even>.sorting_3,table.dataTable.order-column.stripe>tbody>tr.even>.sorting_3{box-shadow:inset 0 0 0 9999px rgba(0, 0, 0, 0.003)}table.dataTable.display>tbody>tr.even.selected>.sorting_1,table.dataTable.order-column.stripe>tbody>tr.even.selected>.sorting_1{box-shadow:inset 0 0 0 9999px rgba(13, 110, 253, 0.919)}table.dataTable.display>tbody>tr.even.selected>.sorting_2,table.dataTable.order-column.stripe>tbody>tr.even.selected>.sorting_2{box-shadow:inset 0 0 0 9999px rgba(13, 110, 253, 0.911)}table.dataTable.display>tbody>tr.even.selected>.sorting_3,table.dataTable.order-column.stripe>tbody>tr.even.selected>.sorting_3{box-shadow:inset 0 0 0 9999px rgba(13, 110, 253, 0.903)}table.dataTable.display tbody tr:hover>.sorting_1,table.dataTable.order-column.hover tbody tr:hover>.sorting_1{box-shadow:inset 0 0 0 9999px rgba(0, 0, 0, 0.082)}table.dataTable.display tbody tr:hover>.sorting_2,table.dataTable.order-column.hover tbody tr:hover>.sorting_2{box-shadow:inset 0 0 0 9999px rgba(0, 0, 0, 0.074)}table.dataTable.display tbody tr:hover>.sorting_3,table.dataTable.order-column.hover tbody 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td{box-sizing:border-box}div.dataTables_wrapper{position:relative;clear:both}div.dataTables_wrapper div.dataTables_layout_row{display:table;clear:both;width:100%}div.dataTables_wrapper div.dataTables_layout_cell{display:table-cell;vertical-align:middle;padding:5px 0}div.dataTables_wrapper div.dataTables_layout_cell.dt-full{text-align:center}div.dataTables_wrapper div.dataTables_layout_cell.dt-left{text-align:left}div.dataTables_wrapper div.dataTables_layout_cell.dt-right{text-align:right}div.dataTables_wrapper .dataTables_filter input{border:1px solid #aaa;border-radius:3px;padding:5px;background-color:transparent;margin-left:3px}div.dataTables_wrapper .dt-input{border:1px solid #aaa;border-radius:3px;padding:5px;background-color:transparent}div.dataTables_wrapper select.dt-input{padding:4px}div.dataTables_wrapper .dataTables_paginate .paginate_button{box-sizing:border-box;display:inline-block;min-width:1.5em;padding:.5em 1em;margin-left:2px;text-align:center;text-decoration:none 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bottom, color-stop(0%, #2b2b2b), color-stop(100%, #0c0c0c));background:-webkit-linear-gradient(top, #2b2b2b 0%, #0c0c0c 100%);background:-moz-linear-gradient(top, #2b2b2b 0%, #0c0c0c 100%);background:-ms-linear-gradient(top, #2b2b2b 0%, #0c0c0c 100%);background:-o-linear-gradient(top, #2b2b2b 0%, #0c0c0c 100%);background:linear-gradient(to bottom, #2b2b2b 0%, #0c0c0c 100%);box-shadow:inset 0 0 3px #111}div.dataTables_wrapper .dataTables_paginate .ellipsis{padding:0 1em}div.dataTables_wrapper .dataTables_length,div.dataTables_wrapper .dataTables_filter,div.dataTables_wrapper .dataTables_info,div.dataTables_wrapper .dataTables_processing,div.dataTables_wrapper .dataTables_paginate{color:#333}div.dataTables_wrapper .dataTables_scroll{clear:both}div.dataTables_wrapper .dataTables_scroll div.dataTables_scrollBody{-webkit-overflow-scrolling:touch}div.dataTables_wrapper .dataTables_scroll div.dataTables_scrollBody>table>thead>tr>th,div.dataTables_wrapper .dataTables_scroll 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div.dataTables_scrollBody>table{border-bottom:none}div.dataTables_wrapper:after{visibility:hidden;display:block;content:"";clear:both;height:0}@media screen and (max-width: 767px){div.dataTables_wrapper div.dataTables_layout_row{display:block}div.dataTables_wrapper div.dataTables_layout_cell{display:block}div.dataTables_wrapper div.dataTables_layout_cell.dt-full,div.dataTables_wrapper div.dataTables_layout_cell.dt-left,div.dataTables_wrapper div.dataTables_layout_cell.dt-right{text-align:center}}
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables/css/dataTables.foundation.min.css
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables/css/dataTables.foundation.min.css	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables/css/dataTables.foundation.min.css	(revision 3761)
@@ -0,0 +1 @@
+table.dataTable td.dt-control{text-align:center;cursor:pointer}table.dataTable td.dt-control:before{height:1em;width:1em;margin-top:-9px;display:inline-block;color:white;border:.15em solid white;border-radius:1em;box-shadow:0 0 .2em #444;box-sizing:content-box;text-align:center;text-indent:0 !important;font-family:"Courier New",Courier,monospace;line-height:1em;content:"+";background-color:#31b131}table.dataTable tr.dt-hasChild td.dt-control:before{content:"-";background-color:#d33333}table.dataTable thead>tr>th.sorting,table.dataTable thead>tr>th.sorting_asc,table.dataTable thead>tr>th.sorting_desc,table.dataTable thead>tr>th.sorting_asc_disabled,table.dataTable thead>tr>th.sorting_desc_disabled,table.dataTable thead>tr>td.sorting,table.dataTable thead>tr>td.sorting_asc,table.dataTable thead>tr>td.sorting_desc,table.dataTable thead>tr>td.sorting_asc_disabled,table.dataTable thead>tr>td.sorting_desc_disabled{cursor:pointer;position:relative;padding-right:26px}table.dataTable thead>tr>th.sorting:before,table.dataTable thead>tr>th.sorting:after,table.dataTable thead>tr>th.sorting_asc:before,table.dataTable thead>tr>th.sorting_asc:after,table.dataTable thead>tr>th.sorting_desc:before,table.dataTable thead>tr>th.sorting_desc:after,table.dataTable thead>tr>th.sorting_asc_disabled:before,table.dataTable thead>tr>th.sorting_asc_disabled:after,table.dataTable thead>tr>th.sorting_desc_disabled:before,table.dataTable thead>tr>th.sorting_desc_disabled:after,table.dataTable thead>tr>td.sorting:before,table.dataTable thead>tr>td.sorting:after,table.dataTable thead>tr>td.sorting_asc:before,table.dataTable thead>tr>td.sorting_asc:after,table.dataTable thead>tr>td.sorting_desc:before,table.dataTable thead>tr>td.sorting_desc:after,table.dataTable thead>tr>td.sorting_asc_disabled:before,table.dataTable thead>tr>td.sorting_asc_disabled:after,table.dataTable thead>tr>td.sorting_desc_disabled:before,table.dataTable thead>tr>td.sorting_desc_disabled:after{position:absolute;display:block;opacity:.125;right:10px;line-height:9px;font-size:.9em}table.dataTable thead>tr>th.sorting:before,table.dataTable thead>tr>th.sorting_asc:before,table.dataTable thead>tr>th.sorting_desc:before,table.dataTable thead>tr>th.sorting_asc_disabled:before,table.dataTable thead>tr>th.sorting_desc_disabled:before,table.dataTable thead>tr>td.sorting:before,table.dataTable thead>tr>td.sorting_asc:before,table.dataTable thead>tr>td.sorting_desc:before,table.dataTable thead>tr>td.sorting_asc_disabled:before,table.dataTable thead>tr>td.sorting_desc_disabled:before{bottom:50%;content:"â–´"}table.dataTable thead>tr>th.sorting:after,table.dataTable thead>tr>th.sorting_asc:after,table.dataTable thead>tr>th.sorting_desc:after,table.dataTable thead>tr>th.sorting_asc_disabled:after,table.dataTable thead>tr>th.sorting_desc_disabled:after,table.dataTable thead>tr>td.sorting:after,table.dataTable thead>tr>td.sorting_asc:after,table.dataTable thead>tr>td.sorting_desc:after,table.dataTable thead>tr>td.sorting_asc_disabled:after,table.dataTable thead>tr>td.sorting_desc_disabled:after{top:50%;content:"â–¾"}table.dataTable thead>tr>th.sorting_asc:before,table.dataTable thead>tr>th.sorting_desc:after,table.dataTable thead>tr>td.sorting_asc:before,table.dataTable thead>tr>td.sorting_desc:after{opacity:.6}table.dataTable thead>tr>th.sorting_desc_disabled:after,table.dataTable thead>tr>th.sorting_asc_disabled:before,table.dataTable thead>tr>td.sorting_desc_disabled:after,table.dataTable thead>tr>td.sorting_asc_disabled:before{display:none}table.dataTable thead>tr>th:active,table.dataTable thead>tr>td:active{outline:none}div.dataTables_scrollBody table.dataTable thead>tr>th:before,div.dataTables_scrollBody table.dataTable thead>tr>th:after,div.dataTables_scrollBody table.dataTable thead>tr>td:before,div.dataTables_scrollBody table.dataTable thead>tr>td:after{display:none}div.dataTables_processing{position:absolute;top:50%;left:50%;width:200px;margin-left:-100px;margin-top:-26px;text-align:center;padding:2px}div.dataTables_processing>div:last-child{position:relative;width:80px;height:15px;margin:1em auto}div.dataTables_processing>div:last-child>div{position:absolute;top:0;width:13px;height:13px;border-radius:50%;background:rgba(0, 137, 182, 0.9);animation-timing-function:cubic-bezier(0, 1, 1, 0)}div.dataTables_processing>div:last-child>div:nth-child(1){left:8px;animation:datatables-loader-1 .6s infinite}div.dataTables_processing>div:last-child>div:nth-child(2){left:8px;animation:datatables-loader-2 .6s infinite}div.dataTables_processing>div:last-child>div:nth-child(3){left:32px;animation:datatables-loader-2 .6s infinite}div.dataTables_processing>div:last-child>div:nth-child(4){left:56px;animation:datatables-loader-3 .6s infinite}@keyframes datatables-loader-1{0%{transform:scale(0)}100%{transform:scale(1)}}@keyframes datatables-loader-3{0%{transform:scale(1)}100%{transform:scale(0)}}@keyframes datatables-loader-2{0%{transform:translate(0, 0)}100%{transform:translate(24px, 0)}}table.dataTable.nowrap th,table.dataTable.nowrap td{white-space:nowrap}table.dataTable th.dt-left,table.dataTable td.dt-left{text-align:left}table.dataTable th.dt-center,table.dataTable td.dt-center,table.dataTable td.dataTables_empty{text-align:center}table.dataTable th.dt-right,table.dataTable td.dt-right{text-align:right}table.dataTable th.dt-justify,table.dataTable td.dt-justify{text-align:justify}table.dataTable th.dt-nowrap,table.dataTable td.dt-nowrap{white-space:nowrap}table.dataTable thead th,table.dataTable thead td,table.dataTable tfoot th,table.dataTable tfoot td{text-align:left}table.dataTable thead th.dt-head-left,table.dataTable thead td.dt-head-left,table.dataTable tfoot th.dt-head-left,table.dataTable tfoot td.dt-head-left{text-align:left}table.dataTable thead th.dt-head-center,table.dataTable thead td.dt-head-center,table.dataTable tfoot th.dt-head-center,table.dataTable tfoot td.dt-head-center{text-align:center}table.dataTable thead th.dt-head-right,table.dataTable thead td.dt-head-right,table.dataTable tfoot th.dt-head-right,table.dataTable tfoot td.dt-head-right{text-align:right}table.dataTable thead th.dt-head-justify,table.dataTable thead td.dt-head-justify,table.dataTable tfoot th.dt-head-justify,table.dataTable tfoot td.dt-head-justify{text-align:justify}table.dataTable thead th.dt-head-nowrap,table.dataTable thead td.dt-head-nowrap,table.dataTable tfoot th.dt-head-nowrap,table.dataTable tfoot td.dt-head-nowrap{white-space:nowrap}table.dataTable tbody th.dt-body-left,table.dataTable tbody td.dt-body-left{text-align:left}table.dataTable tbody th.dt-body-center,table.dataTable tbody td.dt-body-center{text-align:center}table.dataTable tbody th.dt-body-right,table.dataTable tbody td.dt-body-right{text-align:right}table.dataTable tbody th.dt-body-justify,table.dataTable tbody td.dt-body-justify{text-align:justify}table.dataTable tbody th.dt-body-nowrap,table.dataTable tbody td.dt-body-nowrap{white-space:nowrap}table.dataTable{clear:both;margin:.5em 0 !important;max-width:none !important;width:100%}table.dataTable td,table.dataTable th{-webkit-box-sizing:content-box;box-sizing:content-box}table.dataTable td.dataTables_empty,table.dataTable th.dataTables_empty{text-align:center}table.dataTable.nowrap th,table.dataTable.nowrap td{white-space:nowrap}table.dataTable tr:nth-child(2n){background-color:transparent}table.dataTable>tbody>tr{background-color:transparent}table.dataTable>tbody>tr.selected>*{box-shadow:inset 0 0 0 9999px rgba(0, 137, 182, 0.9);color:white}table.dataTable>tbody>tr.even>*{box-shadow:inset 0 0 0 9999px rgba(0, 0, 0, 0.054)}table.dataTable>tbody>tr.even.selected>*{box-shadow:inset 0 0 0 9999px rgba(0, 137, 182, 0.954)}table.dataTable.hover>tbody>tr:hover>*{box-shadow:inset 0 0 0 9999px rgba(0, 0, 0, 0.074)}table.dataTable.hover>tbody>tr.selected:hover>*{box-shadow:inset 0 0 0 9999px rgba(0, 137, 182, 0.974)}div.dataTables_wrapper{position:relative}div.dataTables_wrapper div.dataTables_length label{float:left;text-align:left;margin-bottom:0}div.dataTables_wrapper div.dataTables_length select{width:75px;margin-bottom:0}div.dataTables_wrapper div.dataTables_filter label{float:right;margin-bottom:0}div.dataTables_wrapper div.dataTables_filter input{display:inline-block !important;width:auto !important;margin-bottom:0;margin-left:.5em}div.dataTables_wrapper div.dataTables_info{padding-top:2px}div.dataTables_wrapper div.dataTables_paginate{float:right;margin:0}div.dataTables_wrapper div.dataTables_processing{position:absolute;top:50%;left:50%;width:200px;margin-left:-100px;margin-top:-26px;text-align:center;padding:1rem 0}div.dataTables_scrollHead table{margin-bottom:0 !important}div.dataTables_scrollBody table{border-top:none;margin-top:0 !important;margin-bottom:0 !important}div.dataTables_scrollBody table tbody tr:first-child th,div.dataTables_scrollBody table tbody tr:first-child td{border-top:none}div.dataTables_scrollFoot table{margin-top:0 !important;border-top:none}
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables/css/dataTables.bootstrap.extra.css
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables/css/dataTables.bootstrap.extra.css	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables/css/dataTables.bootstrap.extra.css	(revision 3761)
@@ -0,0 +1,78 @@
+table.dataTable th.dt-left,
+table.dataTable td.dt-left {
+  text-align: left;
+}
+table.dataTable th.dt-center,
+table.dataTable td.dt-center,
+table.dataTable td.dataTables_empty {
+  text-align: center;
+}
+table.dataTable th.dt-right,
+table.dataTable td.dt-right {
+  text-align: right;
+}
+table.dataTable th.dt-justify,
+table.dataTable td.dt-justify {
+  text-align: justify;
+}
+table.dataTable th.dt-nowrap,
+table.dataTable td.dt-nowrap {
+  white-space: nowrap;
+}
+table.dataTable thead th.dt-head-left,
+table.dataTable thead td.dt-head-left,
+table.dataTable tfoot th.dt-head-left,
+table.dataTable tfoot td.dt-head-left {
+  text-align: left;
+}
+table.dataTable thead th.dt-head-center,
+table.dataTable thead td.dt-head-center,
+table.dataTable tfoot th.dt-head-center,
+table.dataTable tfoot td.dt-head-center {
+  text-align: center;
+}
+table.dataTable thead th.dt-head-right,
+table.dataTable thead td.dt-head-right,
+table.dataTable tfoot th.dt-head-right,
+table.dataTable tfoot td.dt-head-right {
+  text-align: right;
+}
+table.dataTable thead th.dt-head-justify,
+table.dataTable thead td.dt-head-justify,
+table.dataTable tfoot th.dt-head-justify,
+table.dataTable tfoot td.dt-head-justify {
+  text-align: justify;
+}
+table.dataTable thead th.dt-head-nowrap,
+table.dataTable thead td.dt-head-nowrap,
+table.dataTable tfoot th.dt-head-nowrap,
+table.dataTable tfoot td.dt-head-nowrap {
+  white-space: nowrap;
+}
+table.dataTable tbody th.dt-body-left,
+table.dataTable tbody td.dt-body-left {
+  text-align: left;
+}
+table.dataTable tbody th.dt-body-center,
+table.dataTable tbody td.dt-body-center {
+  text-align: center;
+}
+table.dataTable tbody th.dt-body-right,
+table.dataTable tbody td.dt-body-right {
+  text-align: right;
+}
+table.dataTable tbody th.dt-body-justify,
+table.dataTable tbody td.dt-body-justify {
+  text-align: justify;
+}
+table.dataTable tbody th.dt-body-nowrap,
+table.dataTable tbody td.dt-body-nowrap {
+  white-space: nowrap;
+}
+.table.dataTable tbody td.active, .table.dataTable tbody tr.active td {
+	background-color: #337ab7;
+	color: white;
+}
+.dataTables_scrollBody .dataTables_sizing {
+  visibility: hidden;
+}
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables/css/dataTables.bootstrap.min.css
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables/css/dataTables.bootstrap.min.css	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables/css/dataTables.bootstrap.min.css	(revision 3761)
@@ -0,0 +1 @@
+table.dataTable td.dt-control{text-align:center;cursor:pointer}table.dataTable td.dt-control:before{height:1em;width:1em;margin-top:-9px;display:inline-block;color:white;border:.15em solid white;border-radius:1em;box-shadow:0 0 .2em #444;box-sizing:content-box;text-align:center;text-indent:0 !important;font-family:"Courier New",Courier,monospace;line-height:1em;content:"+";background-color:#31b131}table.dataTable tr.dt-hasChild td.dt-control:before{content:"-";background-color:#d33333}table.dataTable thead>tr>th.sorting,table.dataTable thead>tr>th.sorting_asc,table.dataTable thead>tr>th.sorting_desc,table.dataTable thead>tr>th.sorting_asc_disabled,table.dataTable thead>tr>th.sorting_desc_disabled,table.dataTable thead>tr>td.sorting,table.dataTable thead>tr>td.sorting_asc,table.dataTable thead>tr>td.sorting_desc,table.dataTable thead>tr>td.sorting_asc_disabled,table.dataTable thead>tr>td.sorting_desc_disabled{cursor:pointer;position:relative;padding-right:26px}table.dataTable thead>tr>th.sorting:before,table.dataTable thead>tr>th.sorting:after,table.dataTable thead>tr>th.sorting_asc:before,table.dataTable thead>tr>th.sorting_asc:after,table.dataTable thead>tr>th.sorting_desc:before,table.dataTable thead>tr>th.sorting_desc:after,table.dataTable thead>tr>th.sorting_asc_disabled:before,table.dataTable thead>tr>th.sorting_asc_disabled:after,table.dataTable thead>tr>th.sorting_desc_disabled:before,table.dataTable thead>tr>th.sorting_desc_disabled:after,table.dataTable thead>tr>td.sorting:before,table.dataTable thead>tr>td.sorting:after,table.dataTable thead>tr>td.sorting_asc:before,table.dataTable thead>tr>td.sorting_asc:after,table.dataTable thead>tr>td.sorting_desc:before,table.dataTable thead>tr>td.sorting_desc:after,table.dataTable thead>tr>td.sorting_asc_disabled:before,table.dataTable thead>tr>td.sorting_asc_disabled:after,table.dataTable thead>tr>td.sorting_desc_disabled:before,table.dataTable thead>tr>td.sorting_desc_disabled:after{position:absolute;display:block;opacity:.125;right:10px;line-height:9px;font-size:.9em}table.dataTable thead>tr>th.sorting:before,table.dataTable thead>tr>th.sorting_asc:before,table.dataTable thead>tr>th.sorting_desc:before,table.dataTable thead>tr>th.sorting_asc_disabled:before,table.dataTable thead>tr>th.sorting_desc_disabled:before,table.dataTable thead>tr>td.sorting:before,table.dataTable thead>tr>td.sorting_asc:before,table.dataTable thead>tr>td.sorting_desc:before,table.dataTable thead>tr>td.sorting_asc_disabled:before,table.dataTable thead>tr>td.sorting_desc_disabled:before{bottom:50%;content:"â–´"}table.dataTable thead>tr>th.sorting:after,table.dataTable thead>tr>th.sorting_asc:after,table.dataTable thead>tr>th.sorting_desc:after,table.dataTable thead>tr>th.sorting_asc_disabled:after,table.dataTable thead>tr>th.sorting_desc_disabled:after,table.dataTable thead>tr>td.sorting:after,table.dataTable thead>tr>td.sorting_asc:after,table.dataTable thead>tr>td.sorting_desc:after,table.dataTable thead>tr>td.sorting_asc_disabled:after,table.dataTable thead>tr>td.sorting_desc_disabled:after{top:50%;content:"â–¾"}table.dataTable thead>tr>th.sorting_asc:before,table.dataTable thead>tr>th.sorting_desc:after,table.dataTable thead>tr>td.sorting_asc:before,table.dataTable thead>tr>td.sorting_desc:after{opacity:.6}table.dataTable thead>tr>th.sorting_desc_disabled:after,table.dataTable thead>tr>th.sorting_asc_disabled:before,table.dataTable thead>tr>td.sorting_desc_disabled:after,table.dataTable thead>tr>td.sorting_asc_disabled:before{display:none}table.dataTable thead>tr>th:active,table.dataTable thead>tr>td:active{outline:none}div.dataTables_scrollBody table.dataTable thead>tr>th:before,div.dataTables_scrollBody table.dataTable thead>tr>th:after,div.dataTables_scrollBody table.dataTable thead>tr>td:before,div.dataTables_scrollBody table.dataTable thead>tr>td:after{display:none}div.dataTables_processing{position:absolute;top:50%;left:50%;width:200px;margin-left:-100px;margin-top:-26px;text-align:center;padding:2px}div.dataTables_processing>div:last-child{position:relative;width:80px;height:15px;margin:1em auto}div.dataTables_processing>div:last-child>div{position:absolute;top:0;width:13px;height:13px;border-radius:50%;background:rgba(0, 136, 204, 0.9);animation-timing-function:cubic-bezier(0, 1, 1, 0)}div.dataTables_processing>div:last-child>div:nth-child(1){left:8px;animation:datatables-loader-1 .6s infinite}div.dataTables_processing>div:last-child>div:nth-child(2){left:8px;animation:datatables-loader-2 .6s infinite}div.dataTables_processing>div:last-child>div:nth-child(3){left:32px;animation:datatables-loader-2 .6s infinite}div.dataTables_processing>div:last-child>div:nth-child(4){left:56px;animation:datatables-loader-3 .6s infinite}@keyframes datatables-loader-1{0%{transform:scale(0)}100%{transform:scale(1)}}@keyframes datatables-loader-3{0%{transform:scale(1)}100%{transform:scale(0)}}@keyframes datatables-loader-2{0%{transform:translate(0, 0)}100%{transform:translate(24px, 0)}}table.dataTable.nowrap th,table.dataTable.nowrap td{white-space:nowrap}table.dataTable th.dt-left,table.dataTable td.dt-left{text-align:left}table.dataTable th.dt-center,table.dataTable td.dt-center,table.dataTable td.dataTables_empty{text-align:center}table.dataTable th.dt-right,table.dataTable td.dt-right{text-align:right}table.dataTable th.dt-justify,table.dataTable td.dt-justify{text-align:justify}table.dataTable th.dt-nowrap,table.dataTable td.dt-nowrap{white-space:nowrap}table.dataTable thead th,table.dataTable thead td,table.dataTable tfoot th,table.dataTable tfoot td{text-align:left}table.dataTable thead th.dt-head-left,table.dataTable thead td.dt-head-left,table.dataTable tfoot th.dt-head-left,table.dataTable tfoot td.dt-head-left{text-align:left}table.dataTable thead th.dt-head-center,table.dataTable thead td.dt-head-center,table.dataTable tfoot th.dt-head-center,table.dataTable tfoot td.dt-head-center{text-align:center}table.dataTable thead th.dt-head-right,table.dataTable thead td.dt-head-right,table.dataTable tfoot th.dt-head-right,table.dataTable tfoot td.dt-head-right{text-align:right}table.dataTable thead th.dt-head-justify,table.dataTable thead td.dt-head-justify,table.dataTable tfoot th.dt-head-justify,table.dataTable tfoot td.dt-head-justify{text-align:justify}table.dataTable thead th.dt-head-nowrap,table.dataTable thead td.dt-head-nowrap,table.dataTable tfoot th.dt-head-nowrap,table.dataTable tfoot td.dt-head-nowrap{white-space:nowrap}table.dataTable tbody th.dt-body-left,table.dataTable tbody td.dt-body-left{text-align:left}table.dataTable tbody th.dt-body-center,table.dataTable tbody td.dt-body-center{text-align:center}table.dataTable tbody th.dt-body-right,table.dataTable tbody td.dt-body-right{text-align:right}table.dataTable tbody th.dt-body-justify,table.dataTable tbody td.dt-body-justify{text-align:justify}table.dataTable tbody th.dt-body-nowrap,table.dataTable tbody td.dt-body-nowrap{white-space:nowrap}table.dataTable{clear:both;margin-top:6px !important;margin-bottom:6px !important;max-width:none !important;border-collapse:separate !important}table.dataTable td,table.dataTable th{-webkit-box-sizing:content-box;box-sizing:content-box}table.dataTable td.dataTables_empty,table.dataTable th.dataTables_empty{text-align:center}table.dataTable.nowrap th,table.dataTable.nowrap td{white-space:nowrap}table.dataTable.table-striped>tbody>tr:nth-of-type(2n+1){background-color:transparent}table.dataTable>tbody>tr{background-color:transparent}table.dataTable>tbody>tr.selected>*{box-shadow:inset 0 0 0 9999px rgba(0, 136, 204, 0.9);color:white}table.dataTable.table-striped>tbody>tr.odd>*{box-shadow:inset 0 0 0 9999px rgba(0, 0, 0, 0.023)}table.dataTable.table-striped>tbody>tr.odd.selected>*{box-shadow:inset 0 0 0 9999px rgba(0, 136, 204, 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Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables/css/dataTables.jqueryui.min.css
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables/css/dataTables.jqueryui.min.css	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables/css/dataTables.jqueryui.min.css	(revision 3761)
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Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables/css/jquery.dataTables.extra.css
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables/css/jquery.dataTables.extra.css	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables/css/jquery.dataTables.extra.css	(revision 3761)
@@ -0,0 +1,28 @@
+/* Selected rows/cells */
+table.dataTable tr.selected td, table.dataTable td.selected {
+  background-color: #b0bed9 !important;
+}
+/* In case of scrollX/Y or FixedHeader */
+.dataTables_scrollBody .dataTables_sizing {
+  visibility: hidden;
+}
+
+/* The datatables' theme CSS file doesn't define
+the color but with white background. It leads to an issue that
+when the HTML's body color is set to 'white', the user can't
+see the text since the background is white. One case happens in the
+RStudio's IDE when inline viewing the DT table inside an Rmd file,
+if the IDE theme is set to "Cobalt".
+
+See https://github.com/rstudio/DT/issues/447 for more info
+
+This fixes should have little side-effects because all the other elements
+of the default theme use the #333 font color.
+
+TODO: The upstream may use relative colors for both the table background
+and the color. It means the table can display well without this patch
+then. At that time, we need to remove the below CSS attributes.
+*/
+div.datatables {
+  color: #333;
+}
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables/css/jquery.dataTables.min.css
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables/css/jquery.dataTables.min.css	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables/css/jquery.dataTables.min.css	(revision 3761)
@@ -0,0 +1 @@
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td.dt-body-justify{text-align:justify}table.dataTable tbody th.dt-body-nowrap,table.dataTable tbody td.dt-body-nowrap{white-space:nowrap}table.dataTable{width:100%;margin:0 auto;clear:both;border-collapse:separate;border-spacing:0}table.dataTable thead th,table.dataTable tfoot th{font-weight:bold}table.dataTable thead th,table.dataTable thead td{padding:10px;border-bottom:1px solid rgba(0, 0, 0, 0.3)}table.dataTable thead th:active,table.dataTable thead td:active{outline:none}table.dataTable tfoot th,table.dataTable tfoot td{padding:10px 10px 6px 10px;border-top:1px solid rgba(0, 0, 0, 0.3)}table.dataTable tbody tr{background-color:transparent}table.dataTable tbody tr.selected>*{box-shadow:inset 0 0 0 9999px rgba(13, 110, 253, 0.9);color:white}table.dataTable tbody th,table.dataTable tbody td{padding:8px 10px}table.dataTable.row-border tbody th,table.dataTable.row-border tbody td,table.dataTable.display tbody th,table.dataTable.display tbody td{border-top:1px solid rgba(0, 0, 0, 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Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables/css/dataTables.bulma.min.css
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables/css/dataTables.bulma.min.css	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables/css/dataTables.bulma.min.css	(revision 3761)
@@ -0,0 +1,3 @@
+table.dataTable td.dt-control{text-align:center;cursor:pointer}table.dataTable td.dt-control:before{height:1em;width:1em;margin-top:-9px;display:inline-block;color:white;border:.15em solid white;border-radius:1em;box-shadow:0 0 .2em #444;box-sizing:content-box;text-align:center;text-indent:0 !important;font-family:"Courier New",Courier,monospace;line-height:1em;content:"+";background-color:#31b131}table.dataTable tr.dt-hasChild td.dt-control:before{content:"-";background-color:#d33333}table.dataTable thead>tr>th.sorting,table.dataTable thead>tr>th.sorting_asc,table.dataTable thead>tr>th.sorting_desc,table.dataTable thead>tr>th.sorting_asc_disabled,table.dataTable thead>tr>th.sorting_desc_disabled,table.dataTable thead>tr>td.sorting,table.dataTable thead>tr>td.sorting_asc,table.dataTable thead>tr>td.sorting_desc,table.dataTable thead>tr>td.sorting_asc_disabled,table.dataTable thead>tr>td.sorting_desc_disabled{cursor:pointer;position:relative;padding-right:26px}table.dataTable thead>tr>th.sorting:before,table.dataTable thead>tr>th.sorting:after,table.dataTable thead>tr>th.sorting_asc:before,table.dataTable thead>tr>th.sorting_asc:after,table.dataTable thead>tr>th.sorting_desc:before,table.dataTable thead>tr>th.sorting_desc:after,table.dataTable thead>tr>th.sorting_asc_disabled:before,table.dataTable thead>tr>th.sorting_asc_disabled:after,table.dataTable thead>tr>th.sorting_desc_disabled:before,table.dataTable thead>tr>th.sorting_desc_disabled:after,table.dataTable thead>tr>td.sorting:before,table.dataTable thead>tr>td.sorting:after,table.dataTable thead>tr>td.sorting_asc:before,table.dataTable thead>tr>td.sorting_asc:after,table.dataTable thead>tr>td.sorting_desc:before,table.dataTable thead>tr>td.sorting_desc:after,table.dataTable thead>tr>td.sorting_asc_disabled:before,table.dataTable thead>tr>td.sorting_asc_disabled:after,table.dataTable thead>tr>td.sorting_desc_disabled:before,table.dataTable thead>tr>td.sorting_desc_disabled:after{position:absolute;display:block;opacity:.125;right:10px;line-height:9px;font-size:.9em}table.dataTable thead>tr>th.sorting:before,table.dataTable thead>tr>th.sorting_asc:before,table.dataTable thead>tr>th.sorting_desc:before,table.dataTable thead>tr>th.sorting_asc_disabled:before,table.dataTable thead>tr>th.sorting_desc_disabled:before,table.dataTable thead>tr>td.sorting:before,table.dataTable thead>tr>td.sorting_asc:before,table.dataTable thead>tr>td.sorting_desc:before,table.dataTable thead>tr>td.sorting_asc_disabled:before,table.dataTable thead>tr>td.sorting_desc_disabled:before{bottom:50%;content:"â–´"}table.dataTable thead>tr>th.sorting:after,table.dataTable thead>tr>th.sorting_asc:after,table.dataTable thead>tr>th.sorting_desc:after,table.dataTable thead>tr>th.sorting_asc_disabled:after,table.dataTable thead>tr>th.sorting_desc_disabled:after,table.dataTable thead>tr>td.sorting:after,table.dataTable thead>tr>td.sorting_asc:after,table.dataTable thead>tr>td.sorting_desc:after,table.dataTable thead>tr>td.sorting_asc_disabled:after,table.dataTable thead>tr>td.sorting_desc_disabled:after{top:50%;content:"â–¾"}table.dataTable thead>tr>th.sorting_asc:before,table.dataTable thead>tr>th.sorting_desc:after,table.dataTable thead>tr>td.sorting_asc:before,table.dataTable thead>tr>td.sorting_desc:after{opacity:.6}table.dataTable thead>tr>th.sorting_desc_disabled:after,table.dataTable thead>tr>th.sorting_asc_disabled:before,table.dataTable thead>tr>td.sorting_desc_disabled:after,table.dataTable thead>tr>td.sorting_asc_disabled:before{display:none}table.dataTable thead>tr>th:active,table.dataTable thead>tr>td:active{outline:none}div.dataTables_scrollBody table.dataTable thead>tr>th:before,div.dataTables_scrollBody table.dataTable thead>tr>th:after,div.dataTables_scrollBody table.dataTable thead>tr>td:before,div.dataTables_scrollBody table.dataTable thead>tr>td:after{display:none}div.dataTables_processing{position:absolute;top:50%;left:50%;width:200px;margin-left:-100px;margin-top:-26px;text-align:center;padding:2px}div.dataTables_processing>div:last-child{position:relative;width:80px;height:15px;margin:1em auto}div.dataTables_processing>div:last-child>div{position:absolute;top:0;width:13px;height:13px;border-radius:50%;background:rgba(0, 209, 178, 0.9);animation-timing-function:cubic-bezier(0, 1, 1, 0)}div.dataTables_processing>div:last-child>div:nth-child(1){left:8px;animation:datatables-loader-1 .6s infinite}div.dataTables_processing>div:last-child>div:nth-child(2){left:8px;animation:datatables-loader-2 .6s infinite}div.dataTables_processing>div:last-child>div:nth-child(3){left:32px;animation:datatables-loader-2 .6s infinite}div.dataTables_processing>div:last-child>div:nth-child(4){left:56px;animation:datatables-loader-3 .6s infinite}@keyframes datatables-loader-1{0%{transform:scale(0)}100%{transform:scale(1)}}@keyframes datatables-loader-3{0%{transform:scale(1)}100%{transform:scale(0)}}@keyframes datatables-loader-2{0%{transform:translate(0, 0)}100%{transform:translate(24px, 0)}}table.dataTable.nowrap th,table.dataTable.nowrap td{white-space:nowrap}table.dataTable th.dt-left,table.dataTable td.dt-left{text-align:left}table.dataTable th.dt-center,table.dataTable td.dt-center,table.dataTable td.dataTables_empty{text-align:center}table.dataTable th.dt-right,table.dataTable td.dt-right{text-align:right}table.dataTable th.dt-justify,table.dataTable td.dt-justify{text-align:justify}table.dataTable th.dt-nowrap,table.dataTable td.dt-nowrap{white-space:nowrap}table.dataTable thead th,table.dataTable thead td,table.dataTable tfoot th,table.dataTable tfoot td{text-align:left}table.dataTable thead th.dt-head-left,table.dataTable thead td.dt-head-left,table.dataTable tfoot th.dt-head-left,table.dataTable tfoot td.dt-head-left{text-align:left}table.dataTable thead th.dt-head-center,table.dataTable thead td.dt-head-center,table.dataTable tfoot th.dt-head-center,table.dataTable tfoot td.dt-head-center{text-align:center}table.dataTable thead th.dt-head-right,table.dataTable thead td.dt-head-right,table.dataTable tfoot th.dt-head-right,table.dataTable tfoot td.dt-head-right{text-align:right}table.dataTable thead th.dt-head-justify,table.dataTable thead td.dt-head-justify,table.dataTable tfoot th.dt-head-justify,table.dataTable tfoot td.dt-head-justify{text-align:justify}table.dataTable thead th.dt-head-nowrap,table.dataTable thead td.dt-head-nowrap,table.dataTable tfoot th.dt-head-nowrap,table.dataTable tfoot td.dt-head-nowrap{white-space:nowrap}table.dataTable tbody th.dt-body-left,table.dataTable tbody td.dt-body-left{text-align:left}table.dataTable tbody th.dt-body-center,table.dataTable tbody td.dt-body-center{text-align:center}table.dataTable tbody th.dt-body-right,table.dataTable tbody td.dt-body-right{text-align:right}table.dataTable tbody th.dt-body-justify,table.dataTable tbody td.dt-body-justify{text-align:justify}table.dataTable tbody th.dt-body-nowrap,table.dataTable tbody td.dt-body-nowrap{white-space:nowrap}/*! DataTables Bulma integration
+ * Â©2020 SpryMedia Ltd - datatables.net/license
+ */table.dataTable{clear:both;margin-top:6px !important;margin-bottom:6px !important;max-width:none !important;border-collapse:separate !important;border-spacing:0}table.dataTable td,table.dataTable th{-webkit-box-sizing:content-box;box-sizing:content-box}table.dataTable td.dataTables_empty,table.dataTable th.dataTables_empty{text-align:center}table.dataTable.nowrap th,table.dataTable.nowrap td{white-space:nowrap}table.dataTable.table.is-striped>tbody>tr:nth-child(2n){background-color:transparent}table.dataTable>tbody>tr{background-color:transparent}table.dataTable>tbody>tr.selected>*{box-shadow:inset 0 0 0 9999px rgba(0, 209, 178, 0.9);color:white}table.dataTable.is-striped>tbody>tr.odd>*{box-shadow:inset 0 0 0 9999px rgba(0, 0, 0, 0.019)}table.dataTable.is-striped>tbody>tr.odd.selected>*{box-shadow:inset 0 0 0 9999px rgba(0, 209, 178, 0.919)}table.dataTable.is-hoverable>tbody>tr:hover>*{box-shadow:inset 0 0 0 9999px rgba(0, 0, 0, 0.39)}table.dataTable.is-hoverable>tbody>tr.selected:hover>*{box-shadow:inset 0 0 0 9999px #00d1b2}div.dataTables_wrapper div.dataTables_length label{font-weight:normal;text-align:left;white-space:nowrap}div.dataTables_wrapper div.dataTables_length div{vertical-align:middle}div.dataTables_wrapper div.dataTables_length select{width:auto;display:inline-block;vertical-align:middle}div.dataTables_wrapper div.dataTables_filter{text-align:right}div.dataTables_wrapper div.dataTables_filter label{font-weight:normal;white-space:nowrap;text-align:left}div.dataTables_wrapper div.dataTables_filter input{margin-left:.5em;width:auto;vertical-align:middle}div.dataTables_wrapper div.dataTables_info{padding-top:.5em}div.dataTables_wrapper div.dataTables_paginate ul{justify-content:flex-end;list-style:none;margin:0}div.dataTables_wrapper div.dataTables_processing{position:absolute;top:50%;left:50%;width:200px;margin-left:-100px;margin-top:-26px;text-align:center;padding:1em 0}div.dataTables_scrollHead table.dataTable{margin-bottom:0 !important}div.dataTables_scrollBody table{border-top:none;margin-top:0 !important;margin-bottom:0 !important}div.dataTables_scrollBody table thead .sorting:before,div.dataTables_scrollBody table thead .sorting_asc:before,div.dataTables_scrollBody table thead .sorting_desc:before,div.dataTables_scrollBody table thead .sorting:after,div.dataTables_scrollBody table thead .sorting_asc:after,div.dataTables_scrollBody table thead .sorting_desc:after{display:none}div.dataTables_scrollBody table tbody tr:first-child th,div.dataTables_scrollBody table tbody tr:first-child td{border-top:none}div.dataTables_scrollFoot>.dataTables_scrollFootInner{box-sizing:content-box}div.dataTables_scrollFoot>.dataTables_scrollFootInner>table{margin-top:0 !important;border-top:none}
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables/css/dataTables.bootstrap4.extra.css
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables/css/dataTables.bootstrap4.extra.css	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables/css/dataTables.bootstrap4.extra.css	(revision 3761)
@@ -0,0 +1,78 @@
+table.dataTable th.dt-left,
+table.dataTable td.dt-left {
+  text-align: left;
+}
+table.dataTable th.dt-center,
+table.dataTable td.dt-center,
+table.dataTable td.dataTables_empty {
+  text-align: center;
+}
+table.dataTable th.dt-right,
+table.dataTable td.dt-right {
+  text-align: right;
+}
+table.dataTable th.dt-justify,
+table.dataTable td.dt-justify {
+  text-align: justify;
+}
+table.dataTable th.dt-nowrap,
+table.dataTable td.dt-nowrap {
+  white-space: nowrap;
+}
+table.dataTable thead th.dt-head-left,
+table.dataTable thead td.dt-head-left,
+table.dataTable tfoot th.dt-head-left,
+table.dataTable tfoot td.dt-head-left {
+  text-align: left;
+}
+table.dataTable thead th.dt-head-center,
+table.dataTable thead td.dt-head-center,
+table.dataTable tfoot th.dt-head-center,
+table.dataTable tfoot td.dt-head-center {
+  text-align: center;
+}
+table.dataTable thead th.dt-head-right,
+table.dataTable thead td.dt-head-right,
+table.dataTable tfoot th.dt-head-right,
+table.dataTable tfoot td.dt-head-right {
+  text-align: right;
+}
+table.dataTable thead th.dt-head-justify,
+table.dataTable thead td.dt-head-justify,
+table.dataTable tfoot th.dt-head-justify,
+table.dataTable tfoot td.dt-head-justify {
+  text-align: justify;
+}
+table.dataTable thead th.dt-head-nowrap,
+table.dataTable thead td.dt-head-nowrap,
+table.dataTable tfoot th.dt-head-nowrap,
+table.dataTable tfoot td.dt-head-nowrap {
+  white-space: nowrap;
+}
+table.dataTable tbody th.dt-body-left,
+table.dataTable tbody td.dt-body-left {
+  text-align: left;
+}
+table.dataTable tbody th.dt-body-center,
+table.dataTable tbody td.dt-body-center {
+  text-align: center;
+}
+table.dataTable tbody th.dt-body-right,
+table.dataTable tbody td.dt-body-right {
+  text-align: right;
+}
+table.dataTable tbody th.dt-body-justify,
+table.dataTable tbody td.dt-body-justify {
+  text-align: justify;
+}
+table.dataTable tbody th.dt-body-nowrap,
+table.dataTable tbody td.dt-body-nowrap {
+  white-space: nowrap;
+}
+.table.dataTable tbody td.active, .table.dataTable tbody tr.active td {
+	background-color: #007bff;
+	color: white;
+}
+.dataTables_scrollBody .dataTables_sizing {
+  visibility: hidden;
+}
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables/css/dataTables.bootstrap4.min.css
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables/css/dataTables.bootstrap4.min.css	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables/css/dataTables.bootstrap4.min.css	(revision 3761)
@@ -0,0 +1 @@
+table.dataTable td.dt-control{text-align:center;cursor:pointer}table.dataTable td.dt-control:before{height:1em;width:1em;margin-top:-9px;display:inline-block;color:white;border:.15em solid white;border-radius:1em;box-shadow:0 0 .2em #444;box-sizing:content-box;text-align:center;text-indent:0 !important;font-family:"Courier New",Courier,monospace;line-height:1em;content:"+";background-color:#31b131}table.dataTable tr.dt-hasChild td.dt-control:before{content:"-";background-color:#d33333}table.dataTable thead>tr>th.sorting,table.dataTable thead>tr>th.sorting_asc,table.dataTable thead>tr>th.sorting_desc,table.dataTable thead>tr>th.sorting_asc_disabled,table.dataTable thead>tr>th.sorting_desc_disabled,table.dataTable thead>tr>td.sorting,table.dataTable thead>tr>td.sorting_asc,table.dataTable thead>tr>td.sorting_desc,table.dataTable thead>tr>td.sorting_asc_disabled,table.dataTable thead>tr>td.sorting_desc_disabled{cursor:pointer;position:relative;padding-right:26px}table.dataTable thead>tr>th.sorting:before,table.dataTable thead>tr>th.sorting:after,table.dataTable thead>tr>th.sorting_asc:before,table.dataTable thead>tr>th.sorting_asc:after,table.dataTable thead>tr>th.sorting_desc:before,table.dataTable thead>tr>th.sorting_desc:after,table.dataTable thead>tr>th.sorting_asc_disabled:before,table.dataTable thead>tr>th.sorting_asc_disabled:after,table.dataTable thead>tr>th.sorting_desc_disabled:before,table.dataTable thead>tr>th.sorting_desc_disabled:after,table.dataTable thead>tr>td.sorting:before,table.dataTable thead>tr>td.sorting:after,table.dataTable thead>tr>td.sorting_asc:before,table.dataTable thead>tr>td.sorting_asc:after,table.dataTable thead>tr>td.sorting_desc:before,table.dataTable thead>tr>td.sorting_desc:after,table.dataTable thead>tr>td.sorting_asc_disabled:before,table.dataTable thead>tr>td.sorting_asc_disabled:after,table.dataTable thead>tr>td.sorting_desc_disabled:before,table.dataTable thead>tr>td.sorting_desc_disabled:after{position:absolute;display:block;opacity:.125;right:10px;line-height:9px;font-size:.9em}table.dataTable thead>tr>th.sorting:before,table.dataTable thead>tr>th.sorting_asc:before,table.dataTable thead>tr>th.sorting_desc:before,table.dataTable thead>tr>th.sorting_asc_disabled:before,table.dataTable thead>tr>th.sorting_desc_disabled:before,table.dataTable thead>tr>td.sorting:before,table.dataTable thead>tr>td.sorting_asc:before,table.dataTable thead>tr>td.sorting_desc:before,table.dataTable thead>tr>td.sorting_asc_disabled:before,table.dataTable thead>tr>td.sorting_desc_disabled:before{bottom:50%;content:"â–´"}table.dataTable thead>tr>th.sorting:after,table.dataTable thead>tr>th.sorting_asc:after,table.dataTable thead>tr>th.sorting_desc:after,table.dataTable thead>tr>th.sorting_asc_disabled:after,table.dataTable thead>tr>th.sorting_desc_disabled:after,table.dataTable thead>tr>td.sorting:after,table.dataTable thead>tr>td.sorting_asc:after,table.dataTable thead>tr>td.sorting_desc:after,table.dataTable thead>tr>td.sorting_asc_disabled:after,table.dataTable thead>tr>td.sorting_desc_disabled:after{top:50%;content:"â–¾"}table.dataTable thead>tr>th.sorting_asc:before,table.dataTable thead>tr>th.sorting_desc:after,table.dataTable thead>tr>td.sorting_asc:before,table.dataTable thead>tr>td.sorting_desc:after{opacity:.6}table.dataTable thead>tr>th.sorting_desc_disabled:after,table.dataTable thead>tr>th.sorting_asc_disabled:before,table.dataTable thead>tr>td.sorting_desc_disabled:after,table.dataTable thead>tr>td.sorting_asc_disabled:before{display:none}table.dataTable thead>tr>th:active,table.dataTable thead>tr>td:active{outline:none}div.dataTables_scrollBody table.dataTable thead>tr>th:before,div.dataTables_scrollBody table.dataTable thead>tr>th:after,div.dataTables_scrollBody table.dataTable thead>tr>td:before,div.dataTables_scrollBody table.dataTable thead>tr>td:after{display:none}div.dataTables_processing{position:absolute;top:50%;left:50%;width:200px;margin-left:-100px;margin-top:-26px;text-align:center;padding:2px}div.dataTables_processing>div:last-child{position:relative;width:80px;height:15px;margin:1em auto}div.dataTables_processing>div:last-child>div{position:absolute;top:0;width:13px;height:13px;border-radius:50%;background:rgba(2, 117, 216, 0.9);animation-timing-function:cubic-bezier(0, 1, 1, 0)}div.dataTables_processing>div:last-child>div:nth-child(1){left:8px;animation:datatables-loader-1 .6s infinite}div.dataTables_processing>div:last-child>div:nth-child(2){left:8px;animation:datatables-loader-2 .6s infinite}div.dataTables_processing>div:last-child>div:nth-child(3){left:32px;animation:datatables-loader-2 .6s infinite}div.dataTables_processing>div:last-child>div:nth-child(4){left:56px;animation:datatables-loader-3 .6s infinite}@keyframes datatables-loader-1{0%{transform:scale(0)}100%{transform:scale(1)}}@keyframes datatables-loader-3{0%{transform:scale(1)}100%{transform:scale(0)}}@keyframes datatables-loader-2{0%{transform:translate(0, 0)}100%{transform:translate(24px, 0)}}table.dataTable.nowrap th,table.dataTable.nowrap td{white-space:nowrap}table.dataTable th.dt-left,table.dataTable td.dt-left{text-align:left}table.dataTable th.dt-center,table.dataTable td.dt-center,table.dataTable td.dataTables_empty{text-align:center}table.dataTable th.dt-right,table.dataTable td.dt-right{text-align:right}table.dataTable th.dt-justify,table.dataTable td.dt-justify{text-align:justify}table.dataTable th.dt-nowrap,table.dataTable td.dt-nowrap{white-space:nowrap}table.dataTable thead th,table.dataTable thead td,table.dataTable tfoot th,table.dataTable tfoot td{text-align:left}table.dataTable thead th.dt-head-left,table.dataTable thead td.dt-head-left,table.dataTable tfoot th.dt-head-left,table.dataTable tfoot td.dt-head-left{text-align:left}table.dataTable thead th.dt-head-center,table.dataTable thead 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Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables/css/dataTables.semanticui.min.css
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables/css/dataTables.semanticui.min.css	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables/css/dataTables.semanticui.min.css	(revision 3761)
@@ -0,0 +1 @@
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Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables/css/dataTables.bootstrap5.min.css
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables/css/dataTables.bootstrap5.min.css	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables/css/dataTables.bootstrap5.min.css	(revision 3761)
@@ -0,0 +1,5 @@
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+ *
+ * Â©2020 SpryMedia Ltd, all rights reserved.
+ * License: MIT datatables.net/license/mit
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Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables/js/dataTables.bulma.min.js
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables/js/dataTables.bulma.min.js	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables/js/dataTables.bulma.min.js	(revision 3761)
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+/*!
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+ Â©2020 SpryMedia Ltd - datatables.net/license
+*/
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Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables/js/dataTables.bootstrap4.min.js
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables/js/dataTables.bootstrap4.min.js	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables/js/dataTables.bootstrap4.min.js	(revision 3761)
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Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables/js/dataTables.semanticui.min.js
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables/js/dataTables.semanticui.min.js	(revision 0)
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@@ -0,0 +1,15 @@
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+ Â©2011-2015 SpryMedia Ltd - datatables.net/license
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Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables/js/dataTables.bootstrap5.min.js
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables/js/dataTables.bootstrap5.min.js	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables/js/dataTables.bootstrap5.min.js	(revision 3761)
@@ -0,0 +1,14 @@
+/*!
+ DataTables Bootstrap 5 integration
+ 2020 SpryMedia Ltd - datatables.net/license
+*/
+var $jscomp=$jscomp||{};$jscomp.scope={};$jscomp.findInternal=function(a,b,c){a instanceof String&&(a=String(a));for(var e=a.length,d=0;d<e;d++){var f=a[d];if(b.call(c,f,d,a))return{i:d,v:f}}return{i:-1,v:void 0}};$jscomp.ASSUME_ES5=!1;$jscomp.ASSUME_NO_NATIVE_MAP=!1;$jscomp.ASSUME_NO_NATIVE_SET=!1;$jscomp.SIMPLE_FROUND_POLYFILL=!1;$jscomp.ISOLATE_POLYFILLS=!1;
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+renderer:"bootstrap"});a.extend(d.ext.classes,{sWrapper:"dataTables_wrapper dt-bootstrap5",sFilterInput:"form-control form-control-sm",sLengthSelect:"form-select form-select-sm",sProcessing:"dataTables_processing card",sPageButton:"paginate_button page-item"});d.ext.renderer.pageButton.bootstrap=function(f,l,A,B,m,t){var u=new d.Api(f),C=f.oClasses,n=f.oLanguage.oPaginate,D=f.oLanguage.oAria.paginate||{},h,k,v=0,y=function(q,w){var x,E=function(p){p.preventDefault();a(p.currentTarget).hasClass("disabled")||
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Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables/js/dataTables.dataTables.min.js
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables/js/dataTables.dataTables.min.js	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables/js/dataTables.dataTables.min.js	(revision 3761)
@@ -0,0 +1,5 @@
+/*!
+ DataTables styling integration
+ Â©2018 SpryMedia Ltd - datatables.net/license
+*/
+(function(c){"function"===typeof define&&define.amd?define(["jquery","datatables.net"],function(a){return c(a,window,document)}):"object"===typeof exports?module.exports=function(a,b){a||(a=window);b&&b.fn.dataTable||(b=require("datatables.net")(a,b).$);return c(b,a,a.document)}:c(jQuery,window,document)})(function(c,a,b,d){return c.fn.dataTable});
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables/js/dataTables.foundation.min.js
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables/js/dataTables.foundation.min.js	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables/js/dataTables.foundation.min.js	(revision 3761)
@@ -0,0 +1,9 @@
+/*!
+ DataTables Foundation integration
+ Â©2011-2015 SpryMedia Ltd - datatables.net/license
+*/
+(function(b){"function"===typeof define&&define.amd?define(["jquery","datatables.net"],function(c){return b(c,window,document)}):"object"===typeof exports?module.exports=function(c,l){c||(c=window);l&&l.fn.dataTable||(l=require("datatables.net")(c,l).$);return b(l,c,c.document)}:b(jQuery,window,document)})(function(b,c,l,F){var k=b.fn.dataTable;c=b('<meta class="foundation-mq"/>').appendTo("head");k.ext.foundationVersion=c.css("font-family").match(/small|medium|large/)?6:5;c.remove();b.extend(k.ext.classes,
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+z)};return k});
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables/js/dataTables.bootstrap.min.js
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables/js/dataTables.bootstrap.min.js	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables/js/dataTables.bootstrap.min.js	(revision 3761)
@@ -0,0 +1,14 @@
+/*!
+ DataTables Bootstrap 3 integration
+ Â©2011-2015 SpryMedia Ltd - datatables.net/license
+*/
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Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables/js/dataTables.jqueryui.min.js
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables/js/dataTables.jqueryui.min.js	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables/js/dataTables.jqueryui.min.js	(revision 3761)
@@ -0,0 +1,6 @@
+/*!
+ DataTables jQuery UI integration
+ Â©2011-2014 SpryMedia Ltd - datatables.net/license
+*/
+(function(b){"function"===typeof define&&define.amd?define(["jquery","datatables.net"],function(a){return b(a,window,document)}):"object"===typeof exports?module.exports=function(a,c){a||(a=window);c&&c.fn.dataTable||(c=require("datatables.net")(a,c).$);return b(c,a,a.document)}:b(jQuery,window,document)})(function(b,a,c,d){a=b.fn.dataTable;b.extend(!0,a.defaults,{dom:'<"fg-toolbar ui-toolbar ui-widget-header ui-helper-clearfix ui-corner-tl ui-corner-tr"lfr>t<"fg-toolbar ui-toolbar ui-widget-header ui-helper-clearfix ui-corner-bl ui-corner-br"ip>'});
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Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables/js/jquery.dataTables.min.js
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables/js/jquery.dataTables.min.js	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables/js/jquery.dataTables.min.js	(revision 3761)
@@ -0,0 +1,192 @@
+/*!
+   SpryMedia Ltd.
+
+ This source file is free software, available under the following license:
+   MIT license - http://datatables.net/license
+
+ This source file is distributed in the hope that it will be useful, but
+ WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY
+ or FITNESS FOR A PARTICULAR PURPOSE. See the license files for details.
+
+ For details please refer to: http://www.datatables.net
+ DataTables 1.12.1
+ Â©2008-2022 SpryMedia Ltd - datatables.net/license
+*/
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+sScrollBody:"dataTables_scrollBody",sScrollFoot:"dataTables_scrollFoot",sScrollFootInner:"dataTables_scrollFootInner",sHeaderTH:"",sFooterTH:"",sSortJUIAsc:"",sSortJUIDesc:"",sSortJUI:"",sSortJUIAscAllowed:"",sSortJUIDescAllowed:"",sSortJUIWrapper:"",sSortIcon:"",sJUIHeader:"",sJUIFooter:""});var ic=u.ext.pager;l.extend(ic,{simple:function(a,b){return["previous","next"]},full:function(a,b){return["first","previous","next","last"]},numbers:function(a,b){return[Ea(a,b)]},simple_numbers:function(a,b){return["previous",
+Ea(a,b),"next"]},full_numbers:function(a,b){return["first","previous",Ea(a,b),"next","last"]},first_last_numbers:function(a,b){return["first",Ea(a,b),"last"]},_numbers:Ea,numbers_length:7});l.extend(!0,u.ext.renderer,{pageButton:{_:function(a,b,c,d,e,h){var f=a.oClasses,g=a.oLanguage.oPaginate,k=a.oLanguage.oAria.paginate||{},m,n,p=0,t=function(x,w){var r,C=f.sPageButtonDisabled,G=function(I){Ta(a,I.data.action,!0)};var ba=0;for(r=w.length;ba<r;ba++){var L=w[ba];if(Array.isArray(L)){var O=l("<"+(L.DT_el||
+"div")+"/>").appendTo(x);t(O,L)}else{m=null;n=L;O=a.iTabIndex;switch(L){case "ellipsis":x.append('<span class="ellipsis">&#x2026;</span>');break;case "first":m=g.sFirst;0===e&&(O=-1,n+=" "+C);break;case "previous":m=g.sPrevious;0===e&&(O=-1,n+=" "+C);break;case "next":m=g.sNext;if(0===h||e===h-1)O=-1,n+=" "+C;break;case "last":m=g.sLast;if(0===h||e===h-1)O=-1,n+=" "+C;break;default:m=a.fnFormatNumber(L+1),n=e===L?f.sPageButtonActive:""}null!==m&&(O=l("<a>",{"class":f.sPageButton+" "+n,"aria-controls":a.sTableId,
+"aria-label":k[L],"data-dt-idx":p,tabindex:O,id:0===c&&"string"===typeof L?a.sTableId+"_"+L:null}).html(m).appendTo(x),sb(O,{action:L},G),p++)}}};try{var v=l(b).find(A.activeElement).data("dt-idx")}catch(x){}t(l(b).empty(),d);v!==q&&l(b).find("[data-dt-idx="+v+"]").trigger("focus")}}});l.extend(u.ext.type.detect,[function(a,b){b=b.oLanguage.sDecimal;return yb(a,b)?"num"+b:null},function(a,b){if(a&&!(a instanceof Date)&&!Dc.test(a))return null;b=Date.parse(a);return null!==b&&!isNaN(b)||aa(a)?"date":
+null},function(a,b){b=b.oLanguage.sDecimal;return yb(a,b,!0)?"num-fmt"+b:null},function(a,b){b=b.oLanguage.sDecimal;return pc(a,b)?"html-num"+b:null},function(a,b){b=b.oLanguage.sDecimal;return pc(a,b,!0)?"html-num-fmt"+b:null},function(a,b){return aa(a)||"string"===typeof a&&-1!==a.indexOf("<")?"html":null}]);l.extend(u.ext.type.search,{html:function(a){return aa(a)?a:"string"===typeof a?a.replace(mc," ").replace(Ya,""):""},string:function(a){return aa(a)?a:"string"===typeof a?a.replace(mc," "):
+a}});var Xa=function(a,b,c,d){if(0!==a&&(!a||"-"===a))return-Infinity;b&&(a=oc(a,b));a.replace&&(c&&(a=a.replace(c,"")),d&&(a=a.replace(d,"")));return 1*a};l.extend(M.type.order,{"date-pre":function(a){a=Date.parse(a);return isNaN(a)?-Infinity:a},"html-pre":function(a){return aa(a)?"":a.replace?a.replace(/<.*?>/g,"").toLowerCase():a+""},"string-pre":function(a){return aa(a)?"":"string"===typeof a?a.toLowerCase():a.toString?a.toString():""},"string-asc":function(a,b){return a<b?-1:a>b?1:0},"string-desc":function(a,
+b){return a<b?1:a>b?-1:0}});bb("");l.extend(!0,u.ext.renderer,{header:{_:function(a,b,c,d){l(a.nTable).on("order.dt.DT",function(e,h,f,g){a===h&&(e=c.idx,b.removeClass(d.sSortAsc+" "+d.sSortDesc).addClass("asc"==g[e]?d.sSortAsc:"desc"==g[e]?d.sSortDesc:c.sSortingClass))})},jqueryui:function(a,b,c,d){l("<div/>").addClass(d.sSortJUIWrapper).append(b.contents()).append(l("<span/>").addClass(d.sSortIcon+" "+c.sSortingClassJUI)).appendTo(b);l(a.nTable).on("order.dt.DT",function(e,h,f,g){a===h&&(e=c.idx,
+b.removeClass(d.sSortAsc+" "+d.sSortDesc).addClass("asc"==g[e]?d.sSortAsc:"desc"==g[e]?d.sSortDesc:c.sSortingClass),b.find("span."+d.sSortIcon).removeClass(d.sSortJUIAsc+" "+d.sSortJUIDesc+" "+d.sSortJUI+" "+d.sSortJUIAscAllowed+" "+d.sSortJUIDescAllowed).addClass("asc"==g[e]?d.sSortJUIAsc:"desc"==g[e]?d.sSortJUIDesc:c.sSortingClassJUI))})}}});var $a=function(a){Array.isArray(a)&&(a=a.join(","));return"string"===typeof a?a.replace(/&/g,"&amp;").replace(/</g,"&lt;").replace(/>/g,"&gt;").replace(/"/g,
+"&quot;"):a},kc=!1,zc=",",Ac=".";if(Intl)try{for(var Ha=(new Intl.NumberFormat).formatToParts(100000.1),ra=0;ra<Ha.length;ra++)"group"===Ha[ra].type?zc=Ha[ra].value:"decimal"===Ha[ra].type&&(Ac=Ha[ra].value)}catch(a){}u.datetime=function(a,b){var c="datetime-detect-"+a;b||(b="en");u.ext.type.order[c]||(u.ext.type.detect.unshift(function(d){var e=Za(d,a,b);return""===d||e?c:!1}),u.ext.type.order[c+"-pre"]=function(d){return Za(d,a,b)||0})};u.render={date:wb("toLocaleDateString"),datetime:wb("toLocaleString"),
+time:wb("toLocaleTimeString"),number:function(a,b,c,d,e){if(null===a||a===q)a=zc;if(null===b||b===q)b=Ac;return{display:function(h){if("number"!==typeof h&&"string"!==typeof h||""===h||null===h)return h;var f=0>h?"-":"",g=parseFloat(h);if(isNaN(g))return $a(h);g=g.toFixed(c);h=Math.abs(g);g=parseInt(h,10);h=c?b+(h-g).toFixed(c).substring(2):"";0===g&&0===parseFloat(h)&&(f="");return f+(d||"")+g.toString().replace(/\B(?=(\d{3})+(?!\d))/g,a)+h+(e||"")}}},text:function(){return{display:$a,filter:$a}}};
+l.extend(u.ext.internal,{_fnExternApiFunc:lc,_fnBuildAjax:Qa,_fnAjaxUpdate:Kb,_fnAjaxParameters:Tb,_fnAjaxUpdateDraw:Ub,_fnAjaxDataSrc:za,_fnAddColumn:cb,_fnColumnOptions:Ia,_fnAdjustColumnSizing:sa,_fnVisibleToColumnIndex:ta,_fnColumnIndexToVisible:ua,_fnVisbleColumns:na,_fnGetColumns:Ka,_fnColumnTypes:eb,_fnApplyColumnDefs:Hb,_fnHungarianMap:E,_fnCamelToHungarian:P,_fnLanguageCompat:la,_fnBrowserDetect:Fb,_fnAddData:ia,_fnAddTr:La,_fnNodeToDataIndex:function(a,b){return b._DT_RowIndex!==q?b._DT_RowIndex:
+null},_fnNodeToColumnIndex:function(a,b,c){return l.inArray(c,a.aoData[b].anCells)},_fnGetCellData:T,_fnSetCellData:Ib,_fnSplitObjNotation:hb,_fnGetObjectDataFn:ma,_fnSetObjectDataFn:ha,_fnGetDataMaster:ib,_fnClearTable:Ma,_fnDeleteIndex:Na,_fnInvalidate:va,_fnGetRowElements:gb,_fnCreateTr:fb,_fnBuildHead:Jb,_fnDrawHead:xa,_fnDraw:ja,_fnReDraw:ka,_fnAddOptionsHtml:Mb,_fnDetectHeader:wa,_fnGetUniqueThs:Pa,_fnFeatureHtmlFilter:Ob,_fnFilterComplete:ya,_fnFilterCustom:Xb,_fnFilterColumn:Wb,_fnFilter:Vb,
+_fnFilterCreateSearch:nb,_fnEscapeRegex:ob,_fnFilterData:Yb,_fnFeatureHtmlInfo:Rb,_fnUpdateInfo:ac,_fnInfoMacros:bc,_fnInitialise:Aa,_fnInitComplete:Ra,_fnLengthChange:pb,_fnFeatureHtmlLength:Nb,_fnFeatureHtmlPaginate:Sb,_fnPageChange:Ta,_fnFeatureHtmlProcessing:Pb,_fnProcessingDisplay:V,_fnFeatureHtmlTable:Qb,_fnScrollDraw:Ja,_fnApplyToChildren:da,_fnCalculateColumnWidths:db,_fnThrottle:mb,_fnConvertToWidth:cc,_fnGetWidestNode:dc,_fnGetMaxLenString:ec,_fnStringToCss:K,_fnSortFlatten:oa,_fnSort:Lb,
+_fnSortAria:gc,_fnSortListener:rb,_fnSortAttachListener:kb,_fnSortingClasses:Va,_fnSortData:fc,_fnSaveState:Da,_fnLoadState:hc,_fnImplementState:tb,_fnSettingsFromNode:Wa,_fnLog:ea,_fnMap:Y,_fnBindAction:sb,_fnCallbackReg:R,_fnCallbackFire:F,_fnLengthOverflow:qb,_fnRenderer:lb,_fnDataSource:Q,_fnRowAttributes:jb,_fnExtend:ub,_fnCalculateEnd:function(){}});l.fn.dataTable=u;u.$=l;l.fn.dataTableSettings=u.settings;l.fn.dataTableExt=u.ext;l.fn.DataTable=function(a){return l(this).dataTable(a).api()};
+l.each(u,function(a,b){l.fn.DataTable[a]=b});return u});
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables/license.txt
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables/license.txt	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/datatables/license.txt	(revision 3761)
@@ -0,0 +1,20 @@
+Copyright (c) 2008-2015 SpryMedia Limited
+http://datatables.net
+
+Permission is hereby granted, free of charge, to any person obtaining a copy
+of this software and associated documentation files (the "Software"), to deal
+in the Software without restriction, including without limitation the rights
+to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
+copies of the Software, and to permit persons to whom the Software is
+furnished to do so, subject to the following conditions:
+
+The above copyright notice and this permission notice shall be included in
+all copies or substantial portions of the Software.
+
+THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN
+THE SOFTWARE.
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/selectize/selectize.bootstrap3.css
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/selectize/selectize.bootstrap3.css	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/selectize/selectize.bootstrap3.css	(revision 3761)
@@ -0,0 +1,401 @@
+/**
+ * selectize.bootstrap3.css (v0.12.0) - Bootstrap 3 Theme
+ * Copyright (c) 2013â€“2015 Brian Reavis & contributors
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License"); you may not use this
+ * file except in compliance with the License. You may obtain a copy of the License at:
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software distributed under
+ * the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF
+ * ANY KIND, either express or implied. See the License for the specific language
+ * governing permissions and limitations under the License.
+ *
+ * @author Brian Reavis <brian@thirdroute.com>
+ */
+.selectize-control.plugin-drag_drop.multi > .selectize-input > div.ui-sortable-placeholder {
+  visibility: visible !important;
+  background: #f2f2f2 !important;
+  background: rgba(0, 0, 0, 0.06) !important;
+  border: 0 none !important;
+  -webkit-box-shadow: inset 0 0 12px 4px #ffffff;
+  box-shadow: inset 0 0 12px 4px #ffffff;
+}
+.selectize-control.plugin-drag_drop .ui-sortable-placeholder::after {
+  content: '!';
+  visibility: hidden;
+}
+.selectize-control.plugin-drag_drop .ui-sortable-helper {
+  -webkit-box-shadow: 0 2px 5px rgba(0, 0, 0, 0.2);
+  box-shadow: 0 2px 5px rgba(0, 0, 0, 0.2);
+}
+.selectize-dropdown-header {
+  position: relative;
+  padding: 3px 12px;
+  border-bottom: 1px solid #d0d0d0;
+  background: #f8f8f8;
+  -webkit-border-radius: 4px 4px 0 0;
+  -moz-border-radius: 4px 4px 0 0;
+  border-radius: 4px 4px 0 0;
+}
+.selectize-dropdown-header-close {
+  position: absolute;
+  right: 12px;
+  top: 50%;
+  color: #333333;
+  opacity: 0.4;
+  margin-top: -12px;
+  line-height: 20px;
+  font-size: 20px !important;
+}
+.selectize-dropdown-header-close:hover {
+  color: #000000;
+}
+.selectize-dropdown.plugin-optgroup_columns .optgroup {
+  border-right: 1px solid #f2f2f2;
+  border-top: 0 none;
+  float: left;
+  -webkit-box-sizing: border-box;
+  -moz-box-sizing: border-box;
+  box-sizing: border-box;
+}
+.selectize-dropdown.plugin-optgroup_columns .optgroup:last-child {
+  border-right: 0 none;
+}
+.selectize-dropdown.plugin-optgroup_columns .optgroup:before {
+  display: none;
+}
+.selectize-dropdown.plugin-optgroup_columns .optgroup-header {
+  border-top: 0 none;
+}
+.selectize-control.plugin-remove_button [data-value] {
+  position: relative;
+  padding-right: 24px !important;
+}
+.selectize-control.plugin-remove_button [data-value] .remove {
+  z-index: 1;
+  /* fixes ie bug (see #392) */
+  position: absolute;
+  top: 0;
+  right: 0;
+  bottom: 0;
+  width: 17px;
+  text-align: center;
+  font-weight: bold;
+  font-size: 12px;
+  color: inherit;
+  text-decoration: none;
+  vertical-align: middle;
+  display: inline-block;
+  padding: 1px 0 0 0;
+  border-left: 1px solid rgba(0, 0, 0, 0);
+  -webkit-border-radius: 0 2px 2px 0;
+  -moz-border-radius: 0 2px 2px 0;
+  border-radius: 0 2px 2px 0;
+  -webkit-box-sizing: border-box;
+  -moz-box-sizing: border-box;
+  box-sizing: border-box;
+}
+.selectize-control.plugin-remove_button [data-value] .remove:hover {
+  background: rgba(0, 0, 0, 0.05);
+}
+.selectize-control.plugin-remove_button [data-value].active .remove {
+  border-left-color: rgba(0, 0, 0, 0);
+}
+.selectize-control.plugin-remove_button .disabled [data-value] .remove:hover {
+  background: none;
+}
+.selectize-control.plugin-remove_button .disabled [data-value] .remove {
+  border-left-color: rgba(77, 77, 77, 0);
+}
+.selectize-control {
+  position: relative;
+}
+.selectize-dropdown,
+.selectize-input,
+.selectize-input input {
+  color: #333333;
+  font-family: inherit;
+  font-size: inherit;
+  line-height: 20px;
+  -webkit-font-smoothing: inherit;
+}
+.selectize-input,
+.selectize-control.single .selectize-input.input-active {
+  background: #ffffff;
+  cursor: text;
+  display: inline-block;
+}
+.selectize-input {
+  border: 1px solid #cccccc;
+  padding: 6px 12px;
+  display: inline-block;
+  width: 100%;
+  overflow: hidden;
+  position: relative;
+  z-index: 1;
+  -webkit-box-sizing: border-box;
+  -moz-box-sizing: border-box;
+  box-sizing: border-box;
+  -webkit-box-shadow: none;
+  box-shadow: none;
+  -webkit-border-radius: 4px;
+  -moz-border-radius: 4px;
+  border-radius: 4px;
+}
+.selectize-control.multi .selectize-input.has-items {
+  padding: 5px 12px 2px;
+}
+.selectize-input.full {
+  background-color: #ffffff;
+}
+.selectize-input.disabled,
+.selectize-input.disabled * {
+  cursor: default !important;
+}
+.selectize-input.focus {
+  -webkit-box-shadow: inset 0 1px 2px rgba(0, 0, 0, 0.15);
+  box-shadow: inset 0 1px 2px rgba(0, 0, 0, 0.15);
+}
+.selectize-input.dropdown-active {
+  -webkit-border-radius: 4px 4px 0 0;
+  -moz-border-radius: 4px 4px 0 0;
+  border-radius: 4px 4px 0 0;
+}
+.selectize-input > * {
+  vertical-align: baseline;
+  display: -moz-inline-stack;
+  display: inline-block;
+  zoom: 1;
+  *display: inline;
+}
+.selectize-control.multi .selectize-input > div {
+  cursor: pointer;
+  margin: 0 3px 3px 0;
+  padding: 1px 3px;
+  background: #efefef;
+  color: #333333;
+  border: 0 solid rgba(0, 0, 0, 0);
+}
+.selectize-control.multi .selectize-input > div.active {
+  background: #428bca;
+  color: #ffffff;
+  border: 0 solid rgba(0, 0, 0, 0);
+}
+.selectize-control.multi .selectize-input.disabled > div,
+.selectize-control.multi .selectize-input.disabled > div.active {
+  color: #808080;
+  background: #ffffff;
+  border: 0 solid rgba(77, 77, 77, 0);
+}
+.selectize-input > input {
+  display: inline-block !important;
+  padding: 0 !important;
+  min-height: 0 !important;
+  max-height: none !important;
+  max-width: 100% !important;
+  margin: 0 !important;
+  text-indent: 0 !important;
+  border: 0 none !important;
+  background: none !important;
+  line-height: inherit !important;
+  -webkit-user-select: auto !important;
+  -webkit-box-shadow: none !important;
+  box-shadow: none !important;
+}
+.selectize-input > input::-ms-clear {
+  display: none;
+}
+.selectize-input > input:focus {
+  outline: none !important;
+}
+.selectize-input::after {
+  content: ' ';
+  display: block;
+  clear: left;
+}
+.selectize-input.dropdown-active::before {
+  content: ' ';
+  display: block;
+  position: absolute;
+  background: #ffffff;
+  height: 1px;
+  bottom: 0;
+  left: 0;
+  right: 0;
+}
+.selectize-dropdown {
+  position: absolute;
+  z-index: 10;
+  border: 1px solid #d0d0d0;
+  background: #ffffff;
+  margin: -1px 0 0 0;
+  border-top: 0 none;
+  -webkit-box-sizing: border-box;
+  -moz-box-sizing: border-box;
+  box-sizing: border-box;
+  -webkit-box-shadow: 0 1px 3px rgba(0, 0, 0, 0.1);
+  box-shadow: 0 1px 3px rgba(0, 0, 0, 0.1);
+  -webkit-border-radius: 0 0 4px 4px;
+  -moz-border-radius: 0 0 4px 4px;
+  border-radius: 0 0 4px 4px;
+}
+.selectize-dropdown [data-selectable] {
+  cursor: pointer;
+  overflow: hidden;
+}
+.selectize-dropdown [data-selectable] .highlight {
+  background: rgba(255, 237, 40, 0.4);
+  -webkit-border-radius: 1px;
+  -moz-border-radius: 1px;
+  border-radius: 1px;
+}
+.selectize-dropdown [data-selectable],
+.selectize-dropdown .optgroup-header {
+  padding: 3px 12px;
+}
+.selectize-dropdown .optgroup:first-child .optgroup-header {
+  border-top: 0 none;
+}
+.selectize-dropdown .optgroup-header {
+  color: #777777;
+  background: #ffffff;
+  cursor: default;
+}
+.selectize-dropdown .active {
+  background-color: #f5f5f5;
+  color: #262626;
+}
+.selectize-dropdown .active.create {
+  color: #262626;
+}
+.selectize-dropdown .create {
+  color: rgba(51, 51, 51, 0.5);
+}
+.selectize-dropdown-content {
+  overflow-y: auto;
+  overflow-x: hidden;
+  max-height: 200px;
+}
+.selectize-control.single .selectize-input,
+.selectize-control.single .selectize-input input {
+  cursor: pointer;
+}
+.selectize-control.single .selectize-input.input-active,
+.selectize-control.single .selectize-input.input-active input {
+  cursor: text;
+}
+.selectize-control.single .selectize-input:after {
+  content: ' ';
+  display: block;
+  position: absolute;
+  top: 50%;
+  right: 17px;
+  margin-top: -3px;
+  width: 0;
+  height: 0;
+  border-style: solid;
+  border-width: 5px 5px 0 5px;
+  border-color: #333333 transparent transparent transparent;
+}
+.selectize-control.single .selectize-input.dropdown-active:after {
+  margin-top: -4px;
+  border-width: 0 5px 5px 5px;
+  border-color: transparent transparent #333333 transparent;
+}
+.selectize-control.rtl.single .selectize-input:after {
+  left: 17px;
+  right: auto;
+}
+.selectize-control.rtl .selectize-input > input {
+  margin: 0 4px 0 -2px !important;
+}
+.selectize-control .selectize-input.disabled {
+  opacity: 0.5;
+  background-color: #ffffff;
+}
+.selectize-dropdown,
+.selectize-dropdown.form-control {
+  height: auto;
+  padding: 0;
+  margin: 2px 0 0 0;
+  z-index: 1000;
+  background: #ffffff;
+  border: 1px solid #cccccc;
+  border: 1px solid rgba(0, 0, 0, 0.15);
+  -webkit-border-radius: 4px;
+  -moz-border-radius: 4px;
+  border-radius: 4px;
+  -webkit-box-shadow: 0 6px 12px rgba(0, 0, 0, 0.175);
+  box-shadow: 0 6px 12px rgba(0, 0, 0, 0.175);
+}
+.selectize-dropdown .optgroup-header {
+  font-size: 12px;
+  line-height: 1.42857143;
+}
+.selectize-dropdown .optgroup:first-child:before {
+  display: none;
+}
+.selectize-dropdown .optgroup:before {
+  content: ' ';
+  display: block;
+  height: 1px;
+  margin: 9px 0;
+  overflow: hidden;
+  background-color: #e5e5e5;
+  margin-left: -12px;
+  margin-right: -12px;
+}
+.selectize-dropdown-content {
+  padding: 5px 0;
+}
+.selectize-dropdown-header {
+  padding: 6px 12px;
+}
+.selectize-input {
+  min-height: 34px;
+}
+.selectize-input.dropdown-active {
+  -webkit-border-radius: 4px;
+  -moz-border-radius: 4px;
+  border-radius: 4px;
+}
+.selectize-input.dropdown-active::before {
+  display: none;
+}
+.selectize-input.focus {
+  border-color: #66afe9;
+  outline: 0;
+  -webkit-box-shadow: inset 0 1px 1px rgba(0,0,0,.075), 0 0 8px rgba(102, 175, 233, 0.6);
+  box-shadow: inset 0 1px 1px rgba(0,0,0,.075), 0 0 8px rgba(102, 175, 233, 0.6);
+}
+.has-error .selectize-input {
+  border-color: #a94442;
+  -webkit-box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075);
+  box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075);
+}
+.has-error .selectize-input:focus {
+  border-color: #843534;
+  -webkit-box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075), 0 0 6px #ce8483;
+  box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075), 0 0 6px #ce8483;
+}
+.selectize-control.multi .selectize-input.has-items {
+  padding-left: 9px;
+  padding-right: 9px;
+}
+.selectize-control.multi .selectize-input > div {
+  -webkit-border-radius: 3px;
+  -moz-border-radius: 3px;
+  border-radius: 3px;
+}
+.form-control.selectize-control {
+  padding: 0;
+  height: auto;
+  border: none;
+  background: none;
+  -webkit-box-shadow: none;
+  box-shadow: none;
+  -webkit-border-radius: 0;
+  -moz-border-radius: 0;
+  border-radius: 0;
+}
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/selectize/selectize.min.js
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/selectize/selectize.min.js	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/lib/selectize/selectize.min.js	(revision 3761)
@@ -0,0 +1,3 @@
+/*! selectize.js - v0.12.1 | https://github.com/brianreavis/selectize.js | Apache License (v2) */
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c=this;c.isFull()||c.isInputHidden||c.isLocked?b.preventDefault():c.settings.splitOn&&setTimeout(function(){for(var b=a.trim(c.$control_input.val()||"").split(c.settings.splitOn),d=0,e=b.length;e>d;d++)c.createItem(b[d])},0)},onKeyPress:function(a){if(this.isLocked)return a&&a.preventDefault();var b=String.fromCharCode(a.keyCode||a.which);return this.settings.create&&"multi"===this.settings.mode&&b===this.settings.delimiter?(this.createItem(),a.preventDefault(),!1):void 0},onKeyDown:function(a){var b=(a.target===this.$control_input[0],this);if(b.isLocked)return void(a.keyCode!==u&&a.preventDefault());switch(a.keyCode){case g:if(b.isCmdDown)return void b.selectAll();break;case i:return void(b.isOpen&&(a.preventDefault(),a.stopPropagation(),b.close()));case o:if(!a.ctrlKey||a.altKey)break;case n:if(!b.isOpen&&b.hasOptions)b.open();else if(b.$activeOption){b.ignoreHover=!0;var c=b.getAdjacentOption(b.$activeOption,1);c.length&&b.setActiveOption(c,!0,!0)}return void a.preventDefault();case l:if(!a.ctrlKey||a.altKey)break;case k:if(b.$activeOption){b.ignoreHover=!0;var d=b.getAdjacentOption(b.$activeOption,-1);d.length&&b.setActiveOption(d,!0,!0)}return void a.preventDefault();case h:return void(b.isOpen&&b.$activeOption&&(b.onOptionSelect({currentTarget:b.$activeOption}),a.preventDefault()));case j:return void b.advanceSelection(-1,a);case m:return void b.advanceSelection(1,a);case u:return b.settings.selectOnTab&&b.isOpen&&b.$activeOption&&(b.onOptionSelect({currentTarget:b.$activeOption}),b.isFull()||a.preventDefault()),void(b.settings.create&&b.createItem()&&a.preventDefault());case p:case q:return void b.deleteSelection(a)}return!b.isFull()&&!b.isInputHidden||(f?a.metaKey:a.ctrlKey)?void 0:void a.preventDefault()},onKeyUp:function(a){var b=this;if(b.isLocked)return a&&a.preventDefault();var c=b.$control_input.val()||"";b.lastValue!==c&&(b.lastValue=c,b.onSearchChange(c),b.refreshOptions(),b.trigger("type",c))},onSearchChange:function(a){var b=this,c=b.settings.load;c&&(b.loadedSearches.hasOwnProperty(a)||(b.loadedSearches[a]=!0,b.load(function(d){c.apply(b,[a,d])})))},onFocus:function(a){var b=this,c=b.isFocused;return b.isDisabled?(b.blur(),a&&a.preventDefault(),!1):void(b.ignoreFocus||(b.isFocused=!0,"focus"===b.settings.preload&&b.onSearchChange(""),c||b.trigger("focus"),b.$activeItems.length||(b.showInput(),b.setActiveItem(null),b.refreshOptions(!!b.settings.openOnFocus)),b.refreshState()))},onBlur:function(a,b){var c=this;if(c.isFocused&&(c.isFocused=!1,!c.ignoreFocus)){if(!c.ignoreBlur&&document.activeElement===c.$dropdown_content[0])return c.ignoreBlur=!0,void c.onFocus(a);var d=function(){c.close(),c.setTextboxValue(""),c.setActiveItem(null),c.setActiveOption(null),c.setCaret(c.items.length),c.refreshState(),(b||document.body).focus(),c.ignoreFocus=!1,c.trigger("blur")};c.ignoreFocus=!0,c.settings.create&&c.settings.createOnBlur?c.createItem(null,!1,d):d()}},onOptionHover:function(a){this.ignoreHover||this.setActiveOption(a.currentTarget,!1)},onOptionSelect:function(b){var c,d,e=this;b.preventDefault&&(b.preventDefault(),b.stopPropagation()),d=a(b.currentTarget),d.hasClass("create")?e.createItem(null,function(){e.settings.closeAfterSelect&&e.close()}):(c=d.attr("data-value"),"undefined"!=typeof c&&(e.lastQuery=null,e.setTextboxValue(""),e.addItem(c),e.settings.closeAfterSelect?e.close():!e.settings.hideSelected&&b.type&&/mouse/.test(b.type)&&e.setActiveOption(e.getOption(c))))},onItemSelect:function(a){var b=this;b.isLocked||"multi"===b.settings.mode&&(a.preventDefault(),b.setActiveItem(a.currentTarget,a))},load:function(a){var b=this,c=b.$wrapper.addClass(b.settings.loadingClass);b.loading++,a.apply(b,[function(a){b.loading=Math.max(b.loading-1,0),a&&a.length&&(b.addOption(a),b.refreshOptions(b.isFocused&&!b.isInputHidden)),b.loading||c.removeClass(b.settings.loadingClass),b.trigger("load",a)}])},setTextboxValue:function(a){var b=this.$control_input,c=b.val()!==a;c&&(b.val(a).triggerHandler("update"),this.lastValue=a)},getValue:function(){return this.tagType===v&&this.$input.attr("multiple")?this.items:this.items.join(this.settings.delimiter)},setValue:function(a,b){var c=b?[]:["change"];F(this,c,function(){this.clear(b),this.addItems(a,b)})},setActiveItem:function(b,c){var d,e,f,g,h,i,j,k,l=this;if("single"!==l.settings.mode){if(b=a(b),!b.length)return a(l.$activeItems).removeClass("active"),l.$activeItems=[],void(l.isFocused&&l.showInput());if(d=c&&c.type.toLowerCase(),"mousedown"===d&&l.isShiftDown&&l.$activeItems.length){for(k=l.$control.children(".active:last"),g=Array.prototype.indexOf.apply(l.$control[0].childNodes,[k[0]]),h=Array.prototype.indexOf.apply(l.$control[0].childNodes,[b[0]]),g>h&&(j=g,g=h,h=j),e=g;h>=e;e++)i=l.$control[0].childNodes[e],-1===l.$activeItems.indexOf(i)&&(a(i).addClass("active"),l.$activeItems.push(i));c.preventDefault()}else"mousedown"===d&&l.isCtrlDown||"keydown"===d&&this.isShiftDown?b.hasClass("active")?(f=l.$activeItems.indexOf(b[0]),l.$activeItems.splice(f,1),b.removeClass("active")):l.$activeItems.push(b.addClass("active")[0]):(a(l.$activeItems).removeClass("active"),l.$activeItems=[b.addClass("active")[0]]);l.hideInput(),this.isFocused||l.focus()}},setActiveOption:function(b,c,d){var e,f,g,h,i,j=this;j.$activeOption&&j.$activeOption.removeClass("active"),j.$activeOption=null,b=a(b),b.length&&(j.$activeOption=b.addClass("active"),(c||!y(c))&&(e=j.$dropdown_content.height(),f=j.$activeOption.outerHeight(!0),c=j.$dropdown_content.scrollTop()||0,g=j.$activeOption.offset().top-j.$dropdown_content.offset().top+c,h=g,i=g-e+f,g+f>e+c?j.$dropdown_content.stop().animate({scrollTop:i},d?j.settings.scrollDuration:0):c>g&&j.$dropdown_content.stop().animate({scrollTop:h},d?j.settings.scrollDuration:0)))},selectAll:function(){var a=this;"single"!==a.settings.mode&&(a.$activeItems=Array.prototype.slice.apply(a.$control.children(":not(input)").addClass("active")),a.$activeItems.length&&(a.hideInput(),a.close()),a.focus())},hideInput:function(){var a=this;a.setTextboxValue(""),a.$control_input.css({opacity:0,position:"absolute",left:a.rtl?1e4:-1e4}),a.isInputHidden=!0},showInput:function(){this.$control_input.css({opacity:1,position:"relative",left:0}),this.isInputHidden=!1},focus:function(){var a=this;a.isDisabled||(a.ignoreFocus=!0,a.$control_input[0].focus(),window.setTimeout(function(){a.ignoreFocus=!1,a.onFocus()},0))},blur:function(a){this.$control_input[0].blur(),this.onBlur(null,a)},getScoreFunction:function(a){return this.sifter.getScoreFunction(a,this.getSearchOptions())},getSearchOptions:function(){var a=this.settings,b=a.sortField;return"string"==typeof b&&(b=[{field:b}]),{fields:a.searchField,conjunction:a.searchConjunction,sort:b}},search:function(b){var c,d,e,f=this,g=f.settings,h=this.getSearchOptions();if(g.score&&(e=f.settings.score.apply(this,[b]),"function"!=typeof e))throw new Error('Selectize "score" setting must be a function that returns a function');if(b!==f.lastQuery?(f.lastQuery=b,d=f.sifter.search(b,a.extend(h,{score:e})),f.currentResults=d):d=a.extend(!0,{},f.currentResults),g.hideSelected)for(c=d.items.length-1;c>=0;c--)-1!==f.items.indexOf(z(d.items[c].id))&&d.items.splice(c,1);return d},refreshOptions:function(b){var c,e,f,g,h,i,j,k,l,m,n,o,p,q,r,s;"undefined"==typeof b&&(b=!0);var t=this,u=a.trim(t.$control_input.val()),v=t.search(u),w=t.$dropdown_content,x=t.$activeOption&&z(t.$activeOption.attr("data-value"));for(g=v.items.length,"number"==typeof t.settings.maxOptions&&(g=Math.min(g,t.settings.maxOptions)),h={},i=[],c=0;g>c;c++)for(j=t.options[v.items[c].id],k=t.render("option",j),l=j[t.settings.optgroupField]||"",m=a.isArray(l)?l:[l],e=0,f=m&&m.length;f>e;e++)l=m[e],t.optgroups.hasOwnProperty(l)||(l=""),h.hasOwnProperty(l)||(h[l]=[],i.push(l)),h[l].push(k);for(this.settings.lockOptgroupOrder&&i.sort(function(a,b){var c=t.optgroups[a].$order||0,d=t.optgroups[b].$order||0;return c-d}),n=[],c=0,g=i.length;g>c;c++)l=i[c],t.optgroups.hasOwnProperty(l)&&h[l].length?(o=t.render("optgroup_header",t.optgroups[l])||"",o+=h[l].join(""),n.push(t.render("optgroup",a.extend({},t.optgroups[l],{html:o})))):n.push(h[l].join(""));if(w.html(n.join("")),t.settings.highlight&&v.query.length&&v.tokens.length)for(c=0,g=v.tokens.length;g>c;c++)d(w,v.tokens[c].regex);if(!t.settings.hideSelected)for(c=0,g=t.items.length;g>c;c++)t.getOption(t.items[c]).addClass("selected");p=t.canCreate(u),p&&(w.prepend(t.render("option_create",{input:u})),s=a(w[0].childNodes[0])),t.hasOptions=v.items.length>0||p,t.hasOptions?(v.items.length>0?(r=x&&t.getOption(x),r&&r.length?q=r:"single"===t.settings.mode&&t.items.length&&(q=t.getOption(t.items[0])),q&&q.length||(q=s&&!t.settings.addPrecedence?t.getAdjacentOption(s,1):w.find("[data-selectable]:first"))):q=s,t.setActiveOption(q),b&&!t.isOpen&&t.open()):(t.setActiveOption(null),b&&t.isOpen&&t.close())},addOption:function(b){var c,d,e,f=this;if(a.isArray(b))for(c=0,d=b.length;d>c;c++)f.addOption(b[c]);else(e=f.registerOption(b))&&(f.userOptions[e]=!0,f.lastQuery=null,f.trigger("option_add",e,b))},registerOption:function(a){var b=z(a[this.settings.valueField]);return!b||this.options.hasOwnProperty(b)?!1:(a.$order=a.$order||++this.order,this.options[b]=a,b)},registerOptionGroup:function(a){var b=z(a[this.settings.optgroupValueField]);return b?(a.$order=a.$order||++this.order,this.optgroups[b]=a,b):!1},addOptionGroup:function(a,b){b[this.settings.optgroupValueField]=a,(a=this.registerOptionGroup(b))&&this.trigger("optgroup_add",a,b)},removeOptionGroup:function(a){this.optgroups.hasOwnProperty(a)&&(delete this.optgroups[a],this.renderCache={},this.trigger("optgroup_remove",a))},clearOptionGroups:function(){this.optgroups={},this.renderCache={},this.trigger("optgroup_clear")},updateOption:function(b,c){var d,e,f,g,h,i,j,k=this;if(b=z(b),f=z(c[k.settings.valueField]),null!==b&&k.options.hasOwnProperty(b)){if("string"!=typeof f)throw new Error("Value must be set in option data");j=k.options[b].$order,f!==b&&(delete k.options[b],g=k.items.indexOf(b),-1!==g&&k.items.splice(g,1,f)),c.$order=c.$order||j,k.options[f]=c,h=k.renderCache.item,i=k.renderCache.option,h&&(delete h[b],delete h[f]),i&&(delete i[b],delete i[f]),-1!==k.items.indexOf(f)&&(d=k.getItem(b),e=a(k.render("item",c)),d.hasClass("active")&&e.addClass("active"),d.replaceWith(e)),k.lastQuery=null,k.isOpen&&k.refreshOptions(!1)}},removeOption:function(a,b){var c=this;a=z(a);var d=c.renderCache.item,e=c.renderCache.option;d&&delete d[a],e&&delete e[a],delete c.userOptions[a],delete c.options[a],c.lastQuery=null,c.trigger("option_remove",a),c.removeItem(a,b)},clearOptions:function(){var a=this;a.loadedSearches={},a.userOptions={},a.renderCache={},a.options=a.sifter.items={},a.lastQuery=null,a.trigger("option_clear"),a.clear()},getOption:function(a){return this.getElementWithValue(a,this.$dropdown_content.find("[data-selectable]"))},getAdjacentOption:function(b,c){var d=this.$dropdown.find("[data-selectable]"),e=d.index(b)+c;return e>=0&&e<d.length?d.eq(e):a()},getElementWithValue:function(b,c){if(b=z(b),"undefined"!=typeof b&&null!==b)for(var d=0,e=c.length;e>d;d++)if(c[d].getAttribute("data-value")===b)return a(c[d]);return a()},getItem:function(a){return this.getElementWithValue(a,this.$control.children())},addItems:function(b,c){for(var d=a.isArray(b)?b:[b],e=0,f=d.length;f>e;e++)this.isPending=f-1>e,this.addItem(d[e],c)},addItem:function(b,c){var d=c?[]:["change"];F(this,d,function(){var d,e,f,g,h,i=this,j=i.settings.mode;return b=z(b),-1!==i.items.indexOf(b)?void("single"===j&&i.close()):void(i.options.hasOwnProperty(b)&&("single"===j&&i.clear(c),"multi"===j&&i.isFull()||(d=a(i.render("item",i.options[b])),h=i.isFull(),i.items.splice(i.caretPos,0,b),i.insertAtCaret(d),(!i.isPending||!h&&i.isFull())&&i.refreshState(),i.isSetup&&(f=i.$dropdown_content.find("[data-selectable]"),i.isPending||(e=i.getOption(b),g=i.getAdjacentOption(e,1).attr("data-value"),i.refreshOptions(i.isFocused&&"single"!==j),g&&i.setActiveOption(i.getOption(g))),!f.length||i.isFull()?i.close():i.positionDropdown(),i.updatePlaceholder(),i.trigger("item_add",b,d),i.updateOriginalInput({silent:c})))))})},removeItem:function(a,b){var c,d,e,f=this;c="object"==typeof a?a:f.getItem(a),a=z(c.attr("data-value")),d=f.items.indexOf(a),-1!==d&&(c.remove(),c.hasClass("active")&&(e=f.$activeItems.indexOf(c[0]),f.$activeItems.splice(e,1)),f.items.splice(d,1),f.lastQuery=null,!f.settings.persist&&f.userOptions.hasOwnProperty(a)&&f.removeOption(a,b),d<f.caretPos&&f.setCaret(f.caretPos-1),f.refreshState(),f.updatePlaceholder(),f.updateOriginalInput({silent:b}),f.positionDropdown(),f.trigger("item_remove",a,c))},createItem:function(b,c){var d=this,e=d.caretPos;b=b||a.trim(d.$control_input.val()||"");var f=arguments[arguments.length-1];if("function"!=typeof f&&(f=function(){}),"boolean"!=typeof c&&(c=!0),!d.canCreate(b))return f(),!1;d.lock();var g="function"==typeof d.settings.create?this.settings.create:function(a){var b={};return b[d.settings.labelField]=a,b[d.settings.valueField]=a,b},h=D(function(a){if(d.unlock(),!a||"object"!=typeof a)return f();var b=z(a[d.settings.valueField]);return"string"!=typeof b?f():(d.setTextboxValue(""),d.addOption(a),d.setCaret(e),d.addItem(b),d.refreshOptions(c&&"single"!==d.settings.mode),void f(a))}),i=g.apply(this,[b,h]);return"undefined"!=typeof i&&h(i),!0},refreshItems:function(){this.lastQuery=null,this.isSetup&&this.addItem(this.items),this.refreshState(),this.updateOriginalInput()},refreshState:function(){var a,b=this;b.isRequired&&(b.items.length&&(b.isInvalid=!1),b.$control_input.prop("required",a)),b.refreshClasses()},refreshClasses:function(){var b=this,c=b.isFull(),d=b.isLocked;b.$wrapper.toggleClass("rtl",b.rtl),b.$control.toggleClass("focus",b.isFocused).toggleClass("disabled",b.isDisabled).toggleClass("required",b.isRequired).toggleClass("invalid",b.isInvalid).toggleClass("locked",d).toggleClass("full",c).toggleClass("not-full",!c).toggleClass("input-active",b.isFocused&&!b.isInputHidden).toggleClass("dropdown-active",b.isOpen).toggleClass("has-options",!a.isEmptyObject(b.options)).toggleClass("has-items",b.items.length>0),b.$control_input.data("grow",!c&&!d)},isFull:function(){return null!==this.settings.maxItems&&this.items.length>=this.settings.maxItems},updateOriginalInput:function(a){var b,c,d,e,f=this;if(a=a||{},f.tagType===v){for(d=[],b=0,c=f.items.length;c>b;b++)e=f.options[f.items[b]][f.settings.labelField]||"",d.push('<option value="'+A(f.items[b])+'" selected="selected">'+A(e)+"</option>");d.length||this.$input.attr("multiple")||d.push('<option value="" selected="selected"></option>'),f.$input.html(d.join(""))}else f.$input.val(f.getValue()),f.$input.attr("value",f.$input.val());f.isSetup&&(a.silent||f.trigger("change",f.$input.val()))},updatePlaceholder:function(){if(this.settings.placeholder){var a=this.$control_input;this.items.length?a.removeAttr("placeholder"):a.attr("placeholder",this.settings.placeholder),a.triggerHandler("update",{force:!0})}},open:function(){var a=this;a.isLocked||a.isOpen||"multi"===a.settings.mode&&a.isFull()||(a.focus(),a.isOpen=!0,a.refreshState(),a.$dropdown.css({visibility:"hidden",display:"block"}),a.positionDropdown(),a.$dropdown.css({visibility:"visible"}),a.trigger("dropdown_open",a.$dropdown))},close:function(){var a=this,b=a.isOpen;"single"===a.settings.mode&&a.items.length&&a.hideInput(),a.isOpen=!1,a.$dropdown.hide(),a.setActiveOption(null),a.refreshState(),b&&a.trigger("dropdown_close",a.$dropdown)},positionDropdown:function(){var a=this.$control,b="body"===this.settings.dropdownParent?a.offset():a.position();b.top+=a.outerHeight(!0),this.$dropdown.css({width:a.outerWidth(),top:b.top,left:b.left})},clear:function(a){var b=this;b.items.length&&(b.$control.children(":not(input)").remove(),b.items=[],b.lastQuery=null,b.setCaret(0),b.setActiveItem(null),b.updatePlaceholder(),b.updateOriginalInput({silent:a}),b.refreshState(),b.showInput(),b.trigger("clear"))},insertAtCaret:function(b){var c=Math.min(this.caretPos,this.items.length);0===c?this.$control.prepend(b):a(this.$control[0].childNodes[c]).before(b),this.setCaret(c+1)},deleteSelection:function(b){var c,d,e,f,g,h,i,j,k,l=this;if(e=b&&b.keyCode===p?-1:1,f=H(l.$control_input[0]),l.$activeOption&&!l.settings.hideSelected&&(i=l.getAdjacentOption(l.$activeOption,-1).attr("data-value")),g=[],l.$activeItems.length){for(k=l.$control.children(".active:"+(e>0?"last":"first")),h=l.$control.children(":not(input)").index(k),e>0&&h++,c=0,d=l.$activeItems.length;d>c;c++)g.push(a(l.$activeItems[c]).attr("data-value"));
+b&&(b.preventDefault(),b.stopPropagation())}else(l.isFocused||"single"===l.settings.mode)&&l.items.length&&(0>e&&0===f.start&&0===f.length?g.push(l.items[l.caretPos-1]):e>0&&f.start===l.$control_input.val().length&&g.push(l.items[l.caretPos]));if(!g.length||"function"==typeof l.settings.onDelete&&l.settings.onDelete.apply(l,[g])===!1)return!1;for("undefined"!=typeof h&&l.setCaret(h);g.length;)l.removeItem(g.pop());return l.showInput(),l.positionDropdown(),l.refreshOptions(!0),i&&(j=l.getOption(i),j.length&&l.setActiveOption(j)),!0},advanceSelection:function(a,b){var c,d,e,f,g,h,i=this;0!==a&&(i.rtl&&(a*=-1),c=a>0?"last":"first",d=H(i.$control_input[0]),i.isFocused&&!i.isInputHidden?(f=i.$control_input.val().length,g=0>a?0===d.start&&0===d.length:d.start===f,g&&!f&&i.advanceCaret(a,b)):(h=i.$control.children(".active:"+c),h.length&&(e=i.$control.children(":not(input)").index(h),i.setActiveItem(null),i.setCaret(a>0?e+1:e))))},advanceCaret:function(a,b){var c,d,e=this;0!==a&&(c=a>0?"next":"prev",e.isShiftDown?(d=e.$control_input[c](),d.length&&(e.hideInput(),e.setActiveItem(d),b&&b.preventDefault())):e.setCaret(e.caretPos+a))},setCaret:function(b){var c=this;if(b="single"===c.settings.mode?c.items.length:Math.max(0,Math.min(c.items.length,b)),!c.isPending){var d,e,f,g;for(f=c.$control.children(":not(input)"),d=0,e=f.length;e>d;d++)g=a(f[d]).detach(),b>d?c.$control_input.before(g):c.$control.append(g)}c.caretPos=b},lock:function(){this.close(),this.isLocked=!0,this.refreshState()},unlock:function(){this.isLocked=!1,this.refreshState()},disable:function(){var a=this;a.$input.prop("disabled",!0),a.$control_input.prop("disabled",!0).prop("tabindex",-1),a.isDisabled=!0,a.lock()},enable:function(){var a=this;a.$input.prop("disabled",!1),a.$control_input.prop("disabled",!1).prop("tabindex",a.tabIndex),a.isDisabled=!1,a.unlock()},destroy:function(){var b=this,c=b.eventNS,d=b.revertSettings;b.trigger("destroy"),b.off(),b.$wrapper.remove(),b.$dropdown.remove(),b.$input.html("").append(d.$children).removeAttr("tabindex").removeClass("selectized").attr({tabindex:d.tabindex}).show(),b.$control_input.removeData("grow"),b.$input.removeData("selectize"),a(window).off(c),a(document).off(c),a(document.body).off(c),delete b.$input[0].selectize},render:function(a,b){var c,d,e="",f=!1,g=this,h=/^[\t \r\n]*<([a-z][a-z0-9\-_]*(?:\:[a-z][a-z0-9\-_]*)?)/i;return("option"===a||"item"===a)&&(c=z(b[g.settings.valueField]),f=!!c),f&&(y(g.renderCache[a])||(g.renderCache[a]={}),g.renderCache[a].hasOwnProperty(c))?g.renderCache[a][c]:(e=g.settings.render[a].apply(this,[b,A]),("option"===a||"option_create"===a)&&(e=e.replace(h,"<$1 data-selectable")),"optgroup"===a&&(d=b[g.settings.optgroupValueField]||"",e=e.replace(h,'<$1 data-group="'+B(A(d))+'"')),("option"===a||"item"===a)&&(e=e.replace(h,'<$1 data-value="'+B(A(c||""))+'"')),f&&(g.renderCache[a][c]=e),e)},clearCache:function(a){var b=this;"undefined"==typeof a?b.renderCache={}:delete b.renderCache[a]},canCreate:function(a){var b=this;if(!b.settings.create)return!1;var c=b.settings.createFilter;return!(!a.length||"function"==typeof c&&!c.apply(b,[a])||"string"==typeof c&&!new RegExp(c).test(a)||c instanceof RegExp&&!c.test(a))}}),L.count=0,L.defaults={options:[],optgroups:[],plugins:[],delimiter:",",splitOn:null,persist:!0,diacritics:!0,create:!1,createOnBlur:!1,createFilter:null,highlight:!0,openOnFocus:!0,maxOptions:1e3,maxItems:null,hideSelected:null,addPrecedence:!1,selectOnTab:!1,preload:!1,allowEmptyOption:!1,closeAfterSelect:!1,scrollDuration:60,loadThrottle:300,loadingClass:"loading",dataAttr:"data-data",optgroupField:"optgroup",valueField:"value",labelField:"text",optgroupLabelField:"label",optgroupValueField:"value",lockOptgroupOrder:!1,sortField:"$order",searchField:["text"],searchConjunction:"and",mode:null,wrapperClass:"selectize-control",inputClass:"selectize-input",dropdownClass:"selectize-dropdown",dropdownContentClass:"selectize-dropdown-content",dropdownParent:null,copyClassesToDropdown:!0,render:{}},a.fn.selectize=function(b){var c=a.fn.selectize.defaults,d=a.extend({},c,b),e=d.dataAttr,f=d.labelField,g=d.valueField,h=d.optgroupField,i=d.optgroupLabelField,j=d.optgroupValueField,k=function(b,c){var h,i,j,k,l=b.attr(e);if(l)for(c.options=JSON.parse(l),h=0,i=c.options.length;i>h;h++)c.items.push(c.options[h][g]);else{var m=a.trim(b.val()||"");if(!d.allowEmptyOption&&!m.length)return;for(j=m.split(d.delimiter),h=0,i=j.length;i>h;h++)k={},k[f]=j[h],k[g]=j[h],c.options.push(k);c.items=j}},l=function(b,c){var k,l,m,n,o=c.options,p={},q=function(a){var b=e&&a.attr(e);return"string"==typeof b&&b.length?JSON.parse(b):null},r=function(b,e){b=a(b);var i=z(b.attr("value"));if(i||d.allowEmptyOption)if(p.hasOwnProperty(i)){if(e){var j=p[i][h];j?a.isArray(j)?j.push(e):p[i][h]=[j,e]:p[i][h]=e}}else{var k=q(b)||{};k[f]=k[f]||b.text(),k[g]=k[g]||i,k[h]=k[h]||e,p[i]=k,o.push(k),b.is(":selected")&&c.items.push(i)}},s=function(b){var 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c&&c.disable(),a.apply(b,arguments)}}(),b.unlock=function(){var a=b.unlock;return function(){var c=b.$control.data("sortable");return c&&c.enable(),a.apply(b,arguments)}}(),b.setup=function(){var c=b.setup;return function(){c.apply(this,arguments);var d=b.$control.sortable({items:"[data-value]",forcePlaceholderSize:!0,disabled:b.isLocked,start:function(a,b){b.placeholder.css("width",b.helper.css("width")),d.css({overflow:"visible"})},stop:function(){d.css({overflow:"hidden"});var c=b.$activeItems?b.$activeItems.slice():null,e=[];d.children("[data-value]").each(function(){e.push(a(this).attr("data-value"))}),b.setValue(e),b.setActiveItem(c)}})}}()}}),L.define("dropdown_header",function(b){var c=this;b=a.extend({title:"Untitled",headerClass:"selectize-dropdown-header",titleRowClass:"selectize-dropdown-header-title",labelClass:"selectize-dropdown-header-label",closeClass:"selectize-dropdown-header-close",html:function(a){return'<div class="'+a.headerClass+'"><div class="'+a.titleRowClass+'"><span class="'+a.labelClass+'">'+a.title+'</span><a href="javascript:void(0)" class="'+a.closeClass+'">&times;</a></div></div>'}},b),c.setup=function(){var d=c.setup;return function(){d.apply(c,arguments),c.$dropdown_header=a(b.html(b)),c.$dropdown.prepend(c.$dropdown_header)}}()}),L.define("optgroup_columns",function(b){var c=this;b=a.extend({equalizeWidth:!0,equalizeHeight:!0},b),this.getAdjacentOption=function(b,c){var d=b.closest("[data-group]").find("[data-selectable]"),e=d.index(b)+c;return e>=0&&e<d.length?d.eq(e):a()},this.onKeyDown=function(){var a=c.onKeyDown;return function(b){var d,e,f,g;return!this.isOpen||b.keyCode!==j&&b.keyCode!==m?a.apply(this,arguments):(c.ignoreHover=!0,g=this.$activeOption.closest("[data-group]"),d=g.find("[data-selectable]").index(this.$activeOption),g=b.keyCode===j?g.prev("[data-group]"):g.next("[data-group]"),f=g.find("[data-selectable]"),e=f.eq(Math.min(f.length-1,d)),void(e.length&&this.setActiveOption(e)))}}();var d=function(){var a,b=d.width,c=document;return"undefined"==typeof b&&(a=c.createElement("div"),a.innerHTML='<div style="width:50px;height:50px;position:absolute;left:-50px;top:-50px;overflow:auto;"><div style="width:1px;height:100px;"></div></div>',a=a.firstChild,c.body.appendChild(a),b=d.width=a.offsetWidth-a.clientWidth,c.body.removeChild(a)),b},e=function(){var e,f,g,h,i,j,k;if(k=a("[data-group]",c.$dropdown_content),f=k.length,f&&c.$dropdown_content.width()){if(b.equalizeHeight){for(g=0,e=0;f>e;e++)g=Math.max(g,k.eq(e).height());k.css({height:g})}b.equalizeWidth&&(j=c.$dropdown_content.innerWidth()-d(),h=Math.round(j/f),k.css({width:h}),f>1&&(i=j-h*(f-1),k.eq(f-1).css({width:i})))}};(b.equalizeHeight||b.equalizeWidth)&&(C.after(this,"positionDropdown",e),C.after(this,"refreshOptions",e))}),L.define("remove_button",function(b){if("single"!==this.settings.mode){b=a.extend({label:"&times;",title:"Remove",className:"remove",append:!0},b);var c=this,d='<a href="javascript:void(0)" class="'+b.className+'" tabindex="-1" title="'+A(b.title)+'">'+b.label+"</a>",e=function(a,b){var c=a.search(/(<\/[^>]+>\s*)$/);return a.substring(0,c)+b+a.substring(c)};this.setup=function(){var f=c.setup;return function(){if(b.append){var g=c.settings.render.item;c.settings.render.item=function(){return e(g.apply(this,arguments),d)}}f.apply(this,arguments),this.$control.on("click","."+b.className,function(b){if(b.preventDefault(),!c.isLocked){var d=a(b.currentTarget).parent();c.setActiveItem(d),c.deleteSelection()&&c.setCaret(c.items.length)}})}}()}}),L.define("restore_on_backspace",function(a){var b=this;a.text=a.text||function(a){return a[this.settings.labelField]},this.onKeyDown=function(){var c=b.onKeyDown;return function(b){var d,e;return b.keyCode===p&&""===this.$control_input.val()&&!this.$activeItems.length&&(d=this.caretPos-1,d>=0&&d<this.items.length)?(e=this.options[this.items[d]],this.deleteSelection(b)&&(this.setTextboxValue(a.text.apply(this,[e])),this.refreshOptions(!0)),void b.preventDefault()):c.apply(this,arguments)}}()}),L});
\ No newline at end of file
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/css/datatables-crosstalk.css
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/css/datatables-crosstalk.css	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/DT/htmlwidgets/css/datatables-crosstalk.css	(revision 3761)
@@ -0,0 +1,32 @@
+.dt-crosstalk-fade {
+  opacity: 0.2;
+}
+
+html body div.DTS div.dataTables_scrollBody {
+  background: none;
+}
+
+
+/*
+Fix https://github.com/rstudio/DT/issues/563
+If the `table.display` is set to "block" (e.g., pkgdown), the browser will display
+datatable objects strangely. The search panel and the page buttons will still be
+in full-width but the table body will be "compact" and shorter.
+In therory, having this attributes will affect `dom="t"`
+with `display: block` users. But in reality, there should be no one.
+We may remove the below lines in the future if the upstream agree to have this there.
+See https://github.com/DataTables/DataTablesSrc/issues/160
+*/
+
+table.dataTable {
+  display: table;
+}
+
+
+/*
+When DTOutput(fill = TRUE), it receives a .html-fill-item class (via htmltools::bindFillRole()), which effectively amounts to `flex: 1 1 auto`. That's mostly fine, but the case where `fillContainer=TRUE`+`height:auto`+`flex-basis:auto` and the container (e.g., a bslib::card()) doesn't have a defined height is a bit problematic since the table wants to fit the parent but the parent wants to fit the table, which results pretty small table height (maybe because there is a minimum height somewhere?). It seems better in this case to impose a 400px height default for the table, which we can do by setting `flex-basis` to 400px (the table is still allowed to grow/shrink when the container has an opinionated height).
+*/
+
+.html-fill-container > .html-fill-item.datatables {
+  flex-basis: 400px;
+}
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/grid/R/grid.rdx
===================================================================
Cannot display: file marked as a binary type.
svn:mime-type = application/octet-stream

Property changes on: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/grid/R/grid.rdx
___________________________________________________________________
Added: svn:mime-type
   + application/octet-stream

Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/grid/R/grid
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/grid/R/grid	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/grid/R/grid	(revision 3761)
@@ -0,0 +1,27 @@
+#  File share/R/nspackloader.R
+#  Part of the R package, https://www.R-project.org
+#
+#  Copyright (C) 1995-2012 The R Core Team
+#
+#  This program is free software; you can redistribute it and/or modify
+#  it under the terms of the GNU General Public License as published by
+#  the Free Software Foundation; either version 2 of the License, or
+#  (at your option) any later version.
+#
+#  This program is distributed in the hope that it will be useful,
+#  but WITHOUT ANY WARRANTY; without even the implied warranty of
+#  MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
+#  GNU General Public License for more details.
+#
+#  A copy of the GNU General Public License is available at
+#  https://www.r-project.org/Licenses/
+
+local({
+    info <- loadingNamespaceInfo()
+    pkg <- info$pkgname
+    ns <- .getNamespace(as.name(pkg))
+    if (is.null(ns))
+        stop("cannot find namespace environment for ", pkg, domain = NA);
+    dbbase <- file.path(info$libname, pkg, "R", pkg)
+    lazyLoad(dbbase, ns, filter = function(n) n != ".__NAMESPACE__.")
+})
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/grid/R/grid.rdb
===================================================================
Cannot display: file marked as a binary type.
svn:mime-type = application/octet-stream

Property changes on: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/grid/R/grid.rdb
___________________________________________________________________
Added: svn:mime-type
   + application/octet-stream

Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/grid/tests/testls.Rout.save
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/grid/tests/testls.Rout.save	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/grid/tests/testls.Rout.save	(revision 3761)
@@ -0,0 +1,343 @@
+
+R Under development (unstable) (2022-03-19 r81942) -- "Unsuffered Consequences"
+Copyright (C) 2022 The R Foundation for Statistical Computing
+Platform: x86_64-pc-linux-gnu (64-bit)
+
+R is free software and comes with ABSOLUTELY NO WARRANTY.
+You are welcome to redistribute it under certain conditions.
+Type 'license()' or 'licence()' for distribution details.
+
+R is a collaborative project with many contributors.
+Type 'contributors()' for more information and
+'citation()' on how to cite R or R packages in publications.
+
+Type 'demo()' for some demos, 'help()' for on-line help, or
+'help.start()' for an HTML browser interface to help.
+Type 'q()' to quit R.
+
+> library(grid)
+> 
+> # Test hole in DL (deleted grob)
+> grid.lines(name="foo")
+> grid.lines(x=1:0, name="foo2")
+> grid.ls()
+foo
+foo2
+> grid.remove("foo")
+> grid.ls()
+foo2
+> # New blank page
+> grid.newpage()
+> 
+> 
+> #######
+> # GROBS
+> #######
+> # Plain grob
+> grid.ls(grob(name="g1"))
+g1
+> # gList
+> grid.ls(gList(grob(name="gl1"), grob(name="gl2")))
+gl1
+gl2
+> # gTree
+> grid.ls(gTree(children=gList(grob(name="child")),
++               name="parent"))
+parent
+  child
+> grid.ls(gTree(children=gList(grob(name="child1"), grob(name="child1")),
++               name="parent"))
+parent
+  child1
+  child1
+> 
+> ###########
+> # VIEWPORTS
+> ###########
+> # Plain viewport
+> grid.ls(viewport(name="vp1"),
++         view=TRUE)
+vp1
+> # vpList
+> grid.ls(vpList(viewport(name="vpl1")),
++         view=TRUE)
+vpl1
+> grid.ls(vpList(viewport(name="vpl1"), viewport(name="vpl2")),
++         view=TRUE)
+vpl1
+  1
+vpl2
+> grid.ls(vpList(viewport(name="vpl1"), viewport(name="vpl2"),
++                viewport(name="vpl3")),
++         view=TRUE)
+vpl1
+  1
+vpl2
+  1
+vpl3
+> # vpStack
+> grid.ls(vpStack(viewport(name="vps1"), viewport(name="vps2")),
++         view=TRUE)
+vps1
+  vps2
+> grid.ls(vpStack(viewport(name="vps1"), viewport(name="vps2"),
++                 viewport(name="vps3")),
++         view=TRUE)
+vps1
+  vps2
+    vps3
+> # vpTrees
+> grid.ls(vpTree(viewport(name="parentvp"), vpList(viewport(name="childvp"))),
++         view=TRUE)
+parentvp
+  childvp
+> grid.ls(vpTree(viewport(name="parentvp"),
++                vpList(viewport(name="cvp1"), viewport(name="cvp2"))),
++         view=TRUE)
+parentvp
+  cvp1
+    1
+  cvp2
+> # vpPaths
+> grid.ls(vpPath("A"),
++         view=TRUE)
+A
+> grid.ls(vpPath("A", "B"),
++         view=TRUE)
+A
+  B
+> grid.ls(vpPath("A", "B", "C"),
++         view=TRUE)
+A
+  B
+    C
+> 
+> ##########
+> # MIXTURES
+> ##########
+> # grob with vp viewport
+> g1 <- grob(vp=viewport(name="gvp"), name="g1")
+> grid.ls(g1, view=TRUE, full=TRUE)
+viewport[gvp]
+  grob[g1]
+  upViewport[1]
+> grid.ls(g1, view=TRUE, full=TRUE, grob=FALSE)
+viewport[gvp]
+  upViewport[1]
+> # grob with vp vpList
+> grid.ls(grob(vp=vpList(viewport(name="vpl")), name="g1"),
++         view=TRUE, full=TRUE)
+viewport[vpl]
+  grob[g1]
+  upViewport[1]
+> grid.ls(grob(vp=vpList(viewport(name="vpl1"), viewport(name="vpl2")),
++              name="g1"),
++         view=TRUE, full=TRUE)
+viewport[vpl1]
+  upViewport[1]
+viewport[vpl2]
+  grob[g1]
+  upViewport[1]
+> # grob with vp vpStack
+> grid.ls(grob(vp=vpStack(viewport(name="vps1"), viewport(name="vps2")),
++              name="g1"),
++         view=TRUE, full=TRUE)
+viewport[vps1]
+  viewport[vps2]
+    grob[g1]
+    upViewport[2]
+> grid.ls(grob(vp=vpStack(viewport(name="vps1"), viewport(name="vps2"),
++                viewport(name="vps3")),
++              name="g1"),
++         view=TRUE)
+vps1
+  vps2
+    vps3
+      g1
+      3
+> # grob with vp vpTree
+> grid.ls(grob(vp=vpTree(viewport(name="parentvp"),
++                vpList(viewport(name="cvp"))),
++              name="g1"),
++         view=TRUE, full=TRUE)
+viewport[parentvp]
+  viewport[cvp]
+    grob[g1]
+    upViewport[2]
+> grid.ls(grob(vp=vpTree(viewport(name="parentvp"),
++                vpList(viewport(name="cvp1"), viewport(name="cvp2"))),
++              name="g1"),
++         view=TRUE, full=TRUE)
+viewport[parentvp]
+  viewport[cvp1]
+    upViewport[1]
+  viewport[cvp2]
+    grob[g1]
+    upViewport[2]
+> # gTree with vp viewport
+> # and child grob with vp viewport
+> grid.ls(gTree(children=gList(grob(vp=viewport(name="childvp"), name="cg1"),
++                 grob(name="cg2")),
++               name="parent",
++               vp=viewport(name="parentvp")),
++         view=TRUE)
+parentvp
+  parent
+    childvp
+      cg1
+      1
+    cg2
+  1
+> # gTree with childrenvp viewport
+> grid.ls(gTree(childrenvp=viewport(name="vp"), name="gtree"),
++         view=TRUE, full=TRUE)
+gTree[gtree]
+  viewport[vp]
+    upViewport[1]
+> grid.ls(gTree(childrenvp=viewport(name="vp"), name="gtree"),
++         view=TRUE, full=TRUE, grob=FALSE)
+viewport[vp]
+  upViewport[1]
+> grid.ls(gTree(children=gList(grob(name="child")),
++               name="parent",
++               childrenvp=viewport(name="vp")),
++         view=TRUE, full=TRUE)
+gTree[parent]
+  viewport[vp]
+    upViewport[1]
+  grob[child]
+> grid.ls(gTree(children=gList(grob(name="child1"), grob(name="child2")),
++               name="parent",
++               childrenvp=viewport(name="vp")),
++         view=TRUE, full=TRUE)
+gTree[parent]
+  viewport[vp]
+    upViewport[1]
+  grob[child1]
+  grob[child2]
+> grid.ls(gTree(children=gList(grob(name="child")),
++               childrenvp=viewport(name="vp"),
++               name="parent"), 
++         view=TRUE, full=TRUE)
+gTree[parent]
+  viewport[vp]
+    upViewport[1]
+  grob[child]
+> grid.ls(gTree(children=gList(grob(name="child1"), grob(name="child2")),
++               name="parent",
++               childrenvp=viewport(name="vp")),
++         view=TRUE, full=TRUE, grob=FALSE)
+viewport[vp]
+  upViewport[1]
+> # gTree with childrenvp vpTree
+> grid.ls(gTree(childrenvp=vpTree(parent=viewport(name="vp1"),
++                 children=vpList(viewport(name="vp2"))),
++               name="gtree"),
++         view=TRUE, full=TRUE)
+gTree[gtree]
+  viewport[vp1]
+    viewport[vp2]
+      upViewport[2]
+> grid.ls(gTree(children=gList(grob(name="child")),
++               name="parent",
++               childrenvp=vpTree(parent=viewport(name="vp1"),
++                 children=vpList(viewport(name="vp2")))),
++         view=TRUE, full=TRUE)
+gTree[parent]
+  viewport[vp1]
+    viewport[vp2]
+      upViewport[2]
+  grob[child]
+> # gTree with childrenvp vpTree
+> # and child grob with vp vpPath
+> # A gTree, called "parent", with childrenvp vpTree (vp2 within vp1)
+> # and child grob, called "child", with vp vpPath (down to vp2)
+> sampleGTree <- gTree(name="parent",
++                      children=gList(grob(name="child", vp="vp1::vp2")),
++                      childrenvp=vpTree(parent=viewport(name="vp1"),
++                                        children=vpList(viewport(name="vp2"))))
+> grid.ls(sampleGTree)
+parent
+  child
+> # Show viewports too
+> grid.ls(sampleGTree, view=TRUE)
+parent
+  vp1
+    vp2
+      2
+  vp1
+    vp2
+      child
+      2
+> # Only show viewports
+> grid.ls(sampleGTree, view=TRUE, grob=FALSE)
+vp1
+  vp2
+    2
+vp1
+  vp2
+    2
+> # Alternate displays
+> # nested listing, custom indent
+> grid.ls(sampleGTree, view=TRUE, print=nestedListing, gindent="--")
+parent
+--vp1
+----vp2
+------2
+--vp1
+----vp2
+------child
+------2
+> # path listing
+> grid.ls(sampleGTree, view=TRUE, print=pathListing)
+            | parent
+vp1
+vp1::vp2
+vp1::vp2::2
+vp1
+vp1::vp2
+vp1::vp2    | parent::child
+vp1::vp2::2
+> # path listing, without grobs aligned
+> grid.ls(sampleGTree, view=TRUE, print=pathListing, gAlign=FALSE)
+ | parent
+vp1
+vp1::vp2
+vp1::vp2::2
+vp1
+vp1::vp2
+vp1::vp2 | parent::child
+vp1::vp2::2
+> # grob path listing 
+> grid.ls(sampleGTree, view=TRUE, print=grobPathListing)
+         | parent
+vp1::vp2 | parent::child
+> # path listing, grobs only
+> grid.ls(sampleGTree, print=pathListing)
+ | parent
+ | parent::child
+> # path listing, viewports only
+> grid.ls(sampleGTree, view=TRUE, grob=FALSE, print=pathListing)
+vp1
+vp1::vp2
+vp1::vp2::2
+vp1
+vp1::vp2
+vp1::vp2::2
+> # raw flat listing
+> str(grid.ls(sampleGTree, view=TRUE, print=FALSE))
+List of 6
+ $ name   : chr [1:8] "parent" "vp1" "vp2" "2" ...
+ $ gDepth : num [1:8] 0 1 1 1 1 1 1 1
+ $ vpDepth: num [1:8] 0 0 1 2 0 1 2 2
+ $ gPath  : chr [1:8] "" "parent" "parent" "parent" ...
+ $ vpPath : chr [1:8] "" "" "vp1" "vp1::vp2" ...
+ $ type   : chr [1:8] "gTreeListing" "vpListing" "vpListing" "vpUpListing" ...
+ - attr(*, "class")= chr "flatGridListing"
+> 
+> 
+> 
+> 
+> proc.time()
+   user  system elapsed 
+  0.310   0.053   0.349 
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/grid/tests/clippaths.R
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/grid/tests/clippaths.R	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/grid/tests/clippaths.R	(revision 3761)
@@ -0,0 +1,418 @@
+
+library(grid)
+
+HersheyLabel <- function(x, y=unit(.5, "npc")) {
+    lines <- strsplit(x, "\n")[[1]]
+    if (!is.unit(y))
+        y <- unit(y, "npc")
+    n <- length(lines)
+    if (n > 1) {
+        y <- y + unit(rev(seq(n)) - mean(seq(n)), "lines")
+    }
+    grid.text(lines, y=y, gp=gpar(fontfamily="HersheySans"))
+}
+
+################################################################################
+## Enforce a clipping path on a viewport
+grid.newpage()
+pushViewport(viewport(clip=circleGrob()))
+grid.rect(gp=gpar(fill="grey"))
+HersheyLabel("push circle clipping path
+rect
+grey circle")
+
+## NORMAL clipping(!)
+grid.newpage()
+pushViewport(viewport(width=.5, height=.5, clip=TRUE))
+grid.circle(r=.6, gp=gpar(fill="grey"))
+HersheyLabel("push clipping rect
+circle
+squared circle")
+
+## A slightly more complex clipping path
+grid.newpage()
+pushViewport(viewport(clip=circleGrob(1:2/3, r=unit(.5, "in"))))
+grid.rect(gp=gpar(fill="grey"))
+popViewport()
+HersheyLabel("push two circles clipping path
+rect
+two circles")
+    
+## Clip to a polygon
+grid.newpage()
+pushViewport(viewport(width=.5, height=.5,
+                      clip=polygonGrob(c(.2, .4, .6, .2), c(.2, .6, .4, .1))))
+grid.rect(gp=gpar(fill="grey"))
+popViewport()
+HersheyLabel("push clipping path
+rect
+grey wedge")
+
+## Rotated clip rect!
+grid.newpage()
+pushViewport(viewport(width=.5, height=.6, angle=45, clip=rectGrob()))
+grid.circle(r=.6, gp=gpar(fill="grey"))
+HersheyLabel("push rotated viewport
+with clipping path
+circle
+square-sided circle")
+
+## Clipping gradient output
+## (gradient on viewport)
+grid.newpage()
+pushViewport(viewport(clip=circleGrob(1:2/3, r=unit(.5, "in")),
+                      gp=gpar(fill=linearGradient())))
+grid.rect()
+popViewport()
+HersheyLabel("push clipping path
+gradient on viewport
+two circles (one gradient)")
+
+## Clipping gradient output
+## (gradient on grob)
+grid.newpage()
+pushViewport(viewport(clip=circleGrob(1:2/3, r=unit(.5, "in"))))
+grid.rect(gp=gpar(fill=linearGradient()))
+popViewport()
+HersheyLabel("push clipping path
+rect with gradient
+two circles (one gradient)")
+
+## Inheriting clipping paths (between viewports)
+grid.newpage()
+pushViewport(viewport(clip=circleGrob()))
+pushViewport(viewport())
+grid.rect(gp=gpar(fill="grey"))
+HersheyLabel("push clipping path
+push again (inherit clip path)
+rect
+grey circle")
+
+## Restoring clipping paths (between viewports)
+grid.newpage()
+pushViewport(viewport(clip=circleGrob()))
+pushViewport(viewport())
+pushViewport(viewport())
+upViewport()
+grid.rect(gp=gpar(fill="grey"))
+HersheyLabel("push clipping path
+push again (inherit clip path)
+push again (inherit clip path)
+up (restore inherited clip path)
+rect
+grey circle")
+
+## Revisiting clipping on a viewport
+## upViewport()
+grid.newpage()
+pushViewport(viewport(clip=circleGrob()))
+grid.rect(gp=gpar(fill="grey"))
+upViewport()
+grid.rect(gp=gpar(fill=rgb(0,0,1,.2)))
+HersheyLabel("push clipping path
+grey circle
+upViewport
+page all (translucent) blue")
+
+## downViewport()
+grid.newpage()
+pushViewport(viewport(clip=circleGrob(), name="vp"))
+grid.rect(height=.5, gp=gpar(fill="grey"))
+upViewport()
+downViewport("vp")
+grid.rect(gp=gpar(fill=rgb(0,0,1,.2)))
+HersheyLabel("push clipping path
+rounded rect
+upViewport
+downViewport
+blue (translucent) circle")
+
+## clip rect to clip path back to clip rect
+grid.newpage()
+pushViewport(viewport(width=.5, height=.5, clip=TRUE))
+pushViewport(viewport(clip=circleGrob()))
+grid.rect(gp=gpar(fill="grey"))
+upViewport()
+grid.circle(r=.6, gp=gpar(fill=rgb(0,0,1,.2)))
+HersheyLabel("push clipping rect
+push clipping path
+grey circle
+upViewport
+squared (translucent) blue circle")
+
+## clip path to clip rect back to clip path
+grid.newpage()
+pushViewport(viewport(clip=circleGrob()))
+pushViewport(viewport(width=.5, height=.5, clip=TRUE))
+grid.circle(r=.6, gp=gpar(fill="grey"))
+upViewport()
+grid.rect(gp=gpar(fill=rgb(0,0,1,.2)))
+HersheyLabel("push clipping path
+push clipping rect
+squared circle
+upViewport
+grey (translucent) blue circle")
+
+## Clipping path makes the clipping region BIGGER
+grid.newpage()
+pushViewport(viewport(width=.5, height=.5, clip=TRUE))
+grid.rect()
+pushViewport(viewport(clip=circleGrob(r=.6)))
+grid.rect(width=1.2, height=1.2, gp=gpar(fill=rgb(0,0,1,.2)))
+HersheyLabel("push clip rect (small)
+rect
+push clip path (bigger)
+rect (big)
+blue (translucent) circle")
+
+## Clipping path makes the clipping region BIGGER
+## (even when clipping path contains viewport)
+grid.newpage()
+pushViewport(viewport(width=.5, height=.5, clip=TRUE))
+grid.rect()
+pushViewport(viewport(clip=circleGrob(r=.6, vp=viewport())))
+grid.rect(width=1.2, height=1.2, gp=gpar(fill=rgb(0,0,1,.2)))
+HersheyLabel("push clip rect (small)
+rect
+push clip path with viewport (bigger)
+rect (big)
+blue (translucent) circle")
+
+
+######################################
+## Replaying the graphics display list
+
+## Resizing device
+grid.newpage()
+pushViewport(viewport(clip=circleGrob()))
+grid.rect(gp=gpar(fill="grey"))
+HersheyLabel("push clip path
+rect
+grey circle
+(for resizing)")
+
+## Record and replay
+grid.newpage()
+pushViewport(viewport(clip=circleGrob()))
+grid.rect(gp=gpar(fill="grey"))
+x <- recordPlot()
+HersheyLabel("push clip path
+rect
+grey circle
+(for recording)")
+print(x)
+HersheyLabel("push clip path
+rect
+record plot
+replay plot
+grey circle")
+
+
+######################################
+## Test of 'grid' display list
+
+## Grabbing a grob with clipping
+## (replaying the 'grid' display list)
+grid.newpage()
+pushViewport(viewport(clip=circleGrob()))
+grid.rect(gp=gpar(fill="grey"))
+HersheyLabel("push clip path
+rect
+grey circle
+(for grid.grab)")
+x <- grid.grab()
+grid.newpage()
+grid.draw(x)
+HersheyLabel("push clip path
+rect
+grey circle
+grid.grab
+grid.draw
+grey circle")
+
+
+
+######################
+## Check for outlawed behaviour
+## (clipping and masks are turned off during clipping path resolution)
+
+grid.newpage()
+path <- circleGrob(r=.6,
+                   vp=viewport(width=.5, height=.5, clip=TRUE))
+pushViewport(viewport(clip=path))
+grid.rect(gp=gpar(fill="grey"))
+popViewport()
+HersheyLabel("clipping path is circle with viewport with clip=TRUE
+AND circle is larger than viewport
+BUT viewport clipping is ignored within clipping path
+SO clipping path is just circle
+draw rect
+result is grey circle")
+
+grid.newpage()
+path <- circleGrob(vp=viewport(clip=rectGrob(width=.8, height=.8)))
+pushViewport(viewport(clip=path))
+grid.rect(gp=gpar(fill="grey"))
+popViewport()
+HersheyLabel("clip path is circle with viewport with clip path
+viewport clip path is rect that squares off the circle
+BUT clip paths are ignored within clipping path (with warning)
+SO clipping path is just circle
+draw rect
+result is grey circle")
+
+grid.newpage()
+path <- circleGrob(vp=viewport(mask=rectGrob(width=.8, height=.8,
+                                             gp=gpar(fill="black"))))
+pushViewport(viewport(clip=path))
+grid.rect(gp=gpar(fill="grey"))
+popViewport()
+HersheyLabel("clip path is circle with viewport with mask
+viewport mask is rect that squares off the circle
+BUT masks are ignored within clipping path (with warning)
+SO clipping path is just circle
+draw rect
+result is grey circle")
+
+grid.newpage()
+path <- circleGrob(vp=viewport(mask=rectGrob(width=.8, height=.8,
+                                             gp=gpar(fill="black"))))
+pushViewport(viewport(clip=path, name="test"))
+upViewport()
+downViewport("test")
+grid.rect(gp=gpar(fill="grey"))
+popViewport()
+HersheyLabel("same as previous test
+EXCEPT that push viewport then pop then down
+(and only push should warn)
+draw rect
+result is grey circle")
+
+## A clipping path within a makeContent() method
+grid.newpage()
+g <- gTree(cl="test")
+makeContent.test <- function(x) {
+    setChildren(x, gList(rectGrob(gp=gpar(fill="grey"),
+                                  vp=viewport(clip=circleGrob()))))
+}
+grid.draw(g)
+HersheyLabel("custom grob class with makeContent() method
+makeContent() adds rectangle with viewport
+viewport has circle clip path
+result is grey circle")
+
+## A clipping path that makes use of makeContent() method
+grid.newpage()
+path <- gTree(cl="test")
+makeContent.test <- function(x) {
+    setChildren(x, gList(circleGrob()))
+}
+pushViewport(viewport(clip=path))
+grid.rect(gp=gpar(fill="grey"))
+popViewport()
+HersheyLabel("push viewport with clip path
+clip path is grob with makeContent() method
+makeContent() adds circle
+draw rect
+result is grey circle")
+
+
+## save()/load() a recordedPlot containing a clipping path
+grid.newpage()
+pushViewport(viewport(clip=circleGrob()))
+grid.rect(gp=gpar(fill="grey"))
+x <- recordPlot()
+HersheyLabel("push circle clipping path
+rect
+grey circle
+(for save(recordPlot()))")
+f <- tempfile()
+saveRDS(x, file=f)
+grid.newpage()
+y <- readRDS(f)
+replayPlot(y)
+HersheyLabel("push circle clipping path
+rect
+grey circle
+saveRDS(recordPlot())
+replayPlot(readRDS())")
+
+################################################################################
+## Clipping paths from text
+
+grid.newpage()
+tg <- textGrob("testing", gp=gpar(fontface="bold", cex=4))
+pushViewport(viewport(clip=tg))
+grid.rect(gp=gpar(fill="grey"))
+grid.rect(width=.1, gp=gpar(fill="2"))
+popViewport()
+HersheyLabel("clipping path from text
+grey rect clipped to text
+thin red rect (black border) also clipped to text", y=.9)
+
+grid.newpage()
+gt <- gTree(children=gList(circleGrob(),
+                           textGrob("testing", gp=gpar(fontface="bold", cex=4)),
+                           rectGrob(width=.8, height=.5)))
+pushViewport(viewport(clip=as.path(gt, rule="evenodd")))
+grid.rect(gp=gpar(fill="grey"))
+grid.rect(width=.1, gp=gpar(fill="2"))
+popViewport()
+HersheyLabel("clipping path based on circle and text and rect
+with even-odd rule
+draw large grey rect and thin red rect
+both clipped to text and space between circle and rect
+(PDF will NOT include text in clipping path", y=.85)
+
+grid.newpage()
+gt <- gTree(children=gList(textGrob("testing", gp=gpar(fontface="bold", cex=4)),
+                           circleGrob(),
+                           rectGrob(width=.8, height=.5)))
+pushViewport(viewport(clip=as.path(gt, rule="evenodd")))
+grid.rect(gp=gpar(fill="grey"))
+grid.rect(width=.1, gp=gpar(fill="2"))
+popViewport()
+HersheyLabel("clipping path based on text and circle and rect
+with even-odd rule
+draw large grey rect and thin red rect
+both clipped to text and space between circle and rect
+(PDF will ONLY include text in clipping path", y=.85)
+
+######################
+## Check resource exhaustion
+grid.newpage()
+for (i in 1:65) {
+    pushViewport(viewport(clip=circleGrob()))
+    grid.rect(gp=gpar(fill="grey"))
+    HersheyLabel(paste0("viewport ", i, " with clip path
+result is grey circle"))
+    upViewport()
+}
+
+## Text being clipped by path
+grid.newpage()
+grid.text("testing", gp=gpar(col="grey", cex=3))
+path <- circleGrob(r=.05, gp=gpar(fill=NA))
+grid.draw(path)
+pushViewport(viewport(clip=path))
+grid.text("testing", gp=gpar(cex=3))
+popViewport()
+HersheyLabel("text clipped by circle", y=.8)
+    
+## Raster being clipped by path
+grid.newpage()
+grid.raster(matrix(c(.5, 1, 1, .5), nrow=2),
+            width=.2, height=.2,
+            interpolate=FALSE)
+path <- circleGrob(r=.05, gp=gpar(fill=NA))
+grid.draw(path)
+pushViewport(viewport(clip=path))
+grid.raster(matrix(c(0:1, 1:0), nrow=2),
+            width=.2, height=.2,
+            interpolate=FALSE)
+popViewport()
+HersheyLabel("raster clipped by circle", y=.8)
+
+
+
+
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/grid/tests/nesting.R
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/grid/tests/nesting.R	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/grid/tests/nesting.R	(revision 3761)
@@ -0,0 +1,113 @@
+
+library(grid)
+
+HersheyLabel <- function(x, y=unit(.5, "npc")) {
+    lines <- strsplit(x, "\n")[[1]]
+    if (!is.unit(y))
+        y <- unit(y, "npc")
+    n <- length(lines)
+    if (n > 1) {
+        y <- y + unit(rev(seq(n)) - mean(seq(n)), "lines")
+    }
+    grid.text(lines, y=y, gp=gpar(fontfamily="HersheySans"))
+}
+
+################################################################################
+## Nesting of patterns, clipping paths, masks, groups, and paths
+## ALL disallowed within a path or clipping path
+
+grid.newpage()
+pat <- pattern(circleGrob(r=unit(.5, "cm"), gp=gpar(fill="black")),
+               width=unit(2, "cm"), height=unit(2, "cm"),
+               extend="repeat")
+path <- circleGrob(gp=gpar(fill=pat))
+pushViewport(viewport(clip=path))
+grid.rect(gp=gpar(fill="grey"))
+HersheyLabel("clipping path is based on circle
+circle has (tiling) pattern fill
+result is grey circle")
+
+grid.newpage()
+pat <- linearGradient()
+path <- circleGrob(gp=gpar(fill=pat))
+pushViewport(viewport(clip=path))
+grid.rect(gp=gpar(fill="grey"))
+HersheyLabel("clipping path is based on circle
+circle has gradeint fill
+result is grey circle")
+
+grid.newpage()
+pat <- pattern(circleGrob(r=unit(.5, "cm"), gp=gpar(fill="black")),
+               width=unit(2, "cm"), height=unit(2, "cm"),
+               extend="repeat")
+path <- circleGrob(gp=gpar(fill=pat))
+grid.fillStroke(path, gp=gpar(fill="grey"))
+HersheyLabel("path is based on circle
+circle has (tiling) pattern fill
+path is filled grey
+result is filled grey circle
+(pattern fill silently ignored)")
+
+grid.newpage()
+cpath <- circleGrob(r=.2)
+path <- circleGrob(vp=viewport(clip=cpath))
+grid.fillStroke(path, gp=gpar(fill="grey"))
+HersheyLabel("path is based on circle
+circle has viewport with
+clipping path based on smaller circle
+result is filled grey circle
+(clipping path ignored with warning)")
+
+grid.newpage()
+mask <- circleGrob(r=.2, gp=gpar(fill="black"))
+path <- circleGrob(vp=viewport(mask=mask))
+grid.fillStroke(path, gp=gpar(fill="grey"))
+HersheyLabel("path is based on circle
+circle has viewport with
+mask based on smaller circle
+result is filled grey circle
+(mask ignored with warning)")
+
+grid.newpage()
+group <- groupGrob(circleGrob(r=.2))
+path <- gTree(children=gList(circleGrob(), group))
+grid.fillStroke(path, gp=gpar(fill="grey"))
+HersheyLabel("path is based on circle AND group
+(group is smaller circle)
+result is filled grey circle
+(group ignored with warning)")
+
+grid.newpage()
+grid.define(circleGrob(r=.2), name="g")
+path <- gTree(children=gList(circleGrob(), useGrob("g")))
+grid.fillStroke(path, gp=gpar(fill="grey"))
+HersheyLabel("path is based on circle AND group *use*
+(group is smaller circle)
+result is filled grey circle
+(group ignored with warning)")
+
+grid.newpage()
+subpath <- strokeGrob(circleGrob(r=.2))
+path <- gTree(children=gList(circleGrob(), subpath))
+grid.fillStroke(path, gp=gpar(fill="grey"))
+HersheyLabel("path is based on circle AND subpath
+(subpath is smaller circle)
+result is filled grey circle
+(subpath ignored with warning)")
+
+grid.newpage()
+subpath <- strokeGrob(circleGrob(r=.2))
+path <- gTree(children=gList(subpath, circleGrob()))
+grid.fillStroke(path, gp=gpar(fill="grey"))
+HersheyLabel("path is based on subpath AND circle
+(subpath is smaller circle)
+result is filled grey circle
+(subpath ignored with warning)")
+
+
+################################################################################
+## TODO
+
+notrun <- function() {
+
+} ## notrun()
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/grid/tests/coords.R
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/grid/tests/coords.R	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/grid/tests/coords.R	(revision 3761)
@@ -0,0 +1,598 @@
+library(grid)
+
+## Tests for grobCoords()
+
+check <- function(coords, model) {
+    stopifnot(isTRUE(all.equal(as.numeric(coords$x), model$x)) &&
+              isTRUE(all.equal(as.numeric(coords$y), model$y)))
+}
+
+## Simple primitive 
+coords <- grobCoords(rectGrob(0, 0, 1, 1,
+                              just=c("left", "bottom"),
+                              default.units="in"),
+                     closed=TRUE)
+check(coords[[1]], list(x=c(0, 0, 1, 1), y=c(0, 1, 1, 0)))
+
+## Primitives that generate more points than grob description
+coords <- grobCoords(circleGrob(0, 0, r=unit(1, "in")), n=4,
+                     closed=TRUE)
+check(coords[[1]], list(x=c(1, 0, -1, 0), y=c(0, 1, 0, -1)))
+
+coords <- grobCoords(xsplineGrob(c(0, 1, 2), c(0, 1, 0),
+                                 default.units="in"),
+                     closed=FALSE)
+check(coords[[1]], list(x=c(0, 1, 2), y=c(0, 1, 0)))
+
+## grob with 'id'
+coords <- grobCoords(polylineGrob(1:4, 1:4,
+                                  id=rep(1:2, each=2),
+                                  default.units="in"),
+                     closed=FALSE)
+check(coords[[1]], list(x=1:2, y=1:2))
+check(coords[[2]], list(x=3:4, y=3:4))
+
+## grob with 'pathId'
+coords <- grobCoords(pathGrob(c(0, 0, 3, 3, 1, 1, 2, 2, 4, 4, 7, 7, 5, 5, 6, 6),
+                              c(0, 3, 3, 0, 1, 2, 2, 1, 4, 7, 7, 4, 5, 6, 6, 5),
+                              id=rep(rep(1:2, each=4), 2),
+                              pathId=rep(1:2, each=8),
+                              default.units="in"),
+                     closed=TRUE)
+check(coords[[1]], list(x=c(0, 0, 3, 3), y=c(0, 3, 3, 0)))
+check(coords[[2]], list(x=c(1, 1, 2, 2), y=c(1, 2, 2, 1)))
+check(coords[[3]], list(x=c(4, 4, 7, 7), y=c(4, 7, 7, 4)))
+check(coords[[4]], list(x=c(5, 5, 6, 6), y=c(5, 6, 6, 5)))
+
+## Mostly testing makeContent()
+coords <- grobCoords(bezierGrob(c(0, 1, 2, 3), c(0, 1, 2, 3),
+                                default.units="in"),
+                     closed=FALSE)
+coords <- lapply(coords[[1]], function(x) { x[c(1, length(x))] })
+check(coords, list(x=c(0, 3), y=c(0, 3)))
+
+## Text returns a bounding box if closed is TRUE
+coords <- grobCoords(textGrob("test", 0, 0, just=c("left", "bottom")),
+                     closed=TRUE)
+w <- convertWidth(stringWidth("test"), "in", valueOnly=TRUE)
+h <- convertHeight(stringHeight("test"), "in", valueOnly=TRUE)
+check(coords[[1]], list(x=c(0, 0, w, w), y=c(0, h, h, 0)))
+      
+coords <- grobCoords(textGrob("test"), closed=FALSE)
+check(coords[[1]], emptyCoords)
+
+## All emptyCoords
+coords <- grobCoords(moveToGrob(), closed=FALSE)
+check(coords[[1]], emptyCoords)
+
+coords <- grobCoords(lineToGrob(), closed=FALSE)
+check(coords[[1]], emptyCoords)
+
+coords <- grobCoords(nullGrob(), closed=FALSE)
+check(coords[[1]], emptyCoords)
+
+coords <- grobCoords(clipGrob(), closed=FALSE)
+check(coords[[1]], emptyCoords)
+
+coords <- grobCoords(rasterGrob(matrix(1)), closed=FALSE)
+check(coords[[1]], emptyCoords)
+
+#################################
+#################################
+## Start a Cairo PNG device to get reliable results
+png("temp.png", type="cairo")
+#################################
+#################################
+
+#################################
+## Names on coords
+checkNames <- function(grob, seq, closed=TRUE) {
+    pts <- grobCoords(grob, closed=closed)
+    stopifnot(as.numeric(names(pts)) == seq)
+}
+## Circles
+grob <- circleGrob(1:2/3)
+checkNames(grob, 1:2)
+## Lines
+grob <- linesGrob(1:2, 1:2)
+checkNames(grob, 1, FALSE)
+## Polyline
+grob <- polylineGrob(1:2, 1:2)
+checkNames(grob, 1, FALSE)
+grob <- polylineGrob(1:4, 1:4, id=rep(1:2, 2))
+checkNames(grob, 1:2, FALSE)
+## Polygon
+grob <- polygonGrob(1:2, 1:2)
+checkNames(grob, 1)
+grob <- polygonGrob(1:4, 1:4, id=rep(1:2, 2))
+checkNames(grob, 1:2)
+## Path
+grob <- pathGrob(1:2, 1:2)
+checkNames(grob, 1)
+grob <- pathGrob(1:4, 1:4, id=rep(1:2, 2))
+checkNames(grob, c(1, 1))
+grob <- pathGrob(1:4, 1:4, pathId=rep(1:2, 2))
+checkNames(grob, 1:2)
+grob <- pathGrob(1:8, 1:8, id=rep(1:2, 4), pathId=rep(1:2, each=4))
+checkNames(grob, c(1, 1, 2, 2))
+## Rects
+grob <- rectGrob(unit(c(1, 3), "in"),
+                 width=unit(1, "in"), height=unit(1, "in"))
+checkNames(grob, 1:2)
+## Segments
+grob <- segmentsGrob(1:2)
+checkNames(grob, 1:2, FALSE)
+## Xsplines
+grob <- xsplineGrob(1:2, 1:2)
+checkNames(grob, 1, FALSE)
+grob <- xsplineGrob(1:3, 1:3, open=FALSE)
+checkNames(grob, 1)
+grob <- xsplineGrob(1:4, 1:4, id=rep(1:2, 2))
+checkNames(grob, 1:2, FALSE)
+grob <- xsplineGrob(1:6, 1:6, id=rep(1:2, 3), open=FALSE)
+checkNames(grob, 1:2)
+## Text
+grob <- textGrob(1:2)
+checkNames(grob, 1)
+
+#################################
+## Points grobs
+
+## Constants in grid.c
+SMALL <- 0.25
+RADIUS <- 0.375
+SQRC <- 0.88622692545275801364
+DMDC <- 1.25331413731550025119
+TRC0 <- 1.55512030155621416073
+TRC1 <- 1.34677368708859836060
+TRC2 <- 0.77756015077810708036
+
+## pch="."
+grob <- pointsGrob(1:3, 1:3, default.units="in", pch=".")
+coords <- grobCoords(grob, closed=TRUE)
+x <- c(.995, .995, 1.005, 1.005)
+y <- c(.995, 1.005, 1.005, .995)
+mapply(check,
+       coords,
+       list("1"=list(x=x, y=y), "2"=list(x=x+1, y=y+1), "3"=list(x=x+2, y=y+2)))
+coords <- grobCoords(grob, closed=FALSE)
+stopifnot(isEmptyCoords(coords))
+## pch=0
+grob <- pointsGrob(1:3, 1:3, size=unit(1, "in"), default.units="in", pch=0)
+coords <- grobCoords(grob, closed=TRUE)
+x <- c(1 - RADIUS, 1 - RADIUS, 1 + RADIUS, 1 + RADIUS)
+y <- c(1 - RADIUS, 1 + RADIUS, 1 + RADIUS, 1 - RADIUS)
+mapply(check,
+       coords,
+       list("1"=list(x=x, y=y), "2"=list(x=x+1, y=y+1), "3"=list(x=x+2, y=y+2)))
+coords <- grobCoords(grob, closed=FALSE)
+stopifnot(isEmptyCoords(coords))
+## pch=1
+grob <- pointsGrob(1:3, 1:3, size=unit(1, "in"), default.units="in", pch=1)
+coords <- grobCoords(grob, closed=TRUE, n=4)
+mapply(check,
+       lapply(coords, function(c) list(x=c$x[1], y=c$y[1])),
+       list("1"=list(x=1 + RADIUS, y=1),
+            "2"=list(x=2 + RADIUS, y=2),
+            "3"=list(x=3 + RADIUS, y=3)))
+coords <- grobCoords(grob, closed=FALSE)
+stopifnot(isEmptyCoords(coords))
+## pch=2
+grob <- pointsGrob(1:3, 1:3, size=unit(1, "in"), default.units="in", pch=2)
+coords <- grobCoords(grob, closed=TRUE)
+x <- c(1, 1 + TRC1*RADIUS, 1 - TRC1*RADIUS)
+y <- c(1 + TRC0*RADIUS, 1 - TRC2*RADIUS, 1 - TRC2*RADIUS)
+mapply(check,
+       coords,
+       list("1"=list(x=x, y=y), "2"=list(x=x+1, y=y+1), "3"=list(x=x+2, y=y+2)))
+coords <- grobCoords(grob, closed=FALSE)
+stopifnot(isEmptyCoords(coords))
+## pch=3
+grob <- pointsGrob(1:3, 1:3, size=unit(1, "in"), default.units="in", pch=3)
+coords <- grobCoords(grob, closed=TRUE)
+stopifnot(isEmptyCoords(coords))
+coords <- grobCoords(grob, closed=FALSE)
+x1 <- c(1 - sqrt(2)*RADIUS, 1 + sqrt(2)*RADIUS)
+y1 <- c(1, 1)
+x2 <- c(1, 1)
+y2 <- c(1 - sqrt(2)*RADIUS, 1 + sqrt(2)*RADIUS)
+mapply(check,
+       coords,
+       list("1"=list(x=x1, y=y1), "1"=list(x=x2, y=y2),
+            "2"=list(x=x1+1, y=y1+1), "2"=list(x=x2+1, y=y2+1),
+            "3"=list(x=x1+2, y=y1+2), "3"=list(x=x2+2, y=y2+2)))
+## pch=4
+grob <- pointsGrob(1:3, 1:3, size=unit(1, "in"), default.units="in", pch=4)
+coords <- grobCoords(grob, closed=TRUE)
+stopifnot(isEmptyCoords(coords))
+coords <- grobCoords(grob, closed=FALSE)
+x1 <- c(1 - RADIUS, 1 + RADIUS)
+y1 <- c(1 - RADIUS, 1 + RADIUS)
+x2 <- c(1 - RADIUS, 1 + RADIUS)
+y2 <- c(1 + RADIUS, 1 - RADIUS)
+mapply(check,
+       coords,
+       list("1"=list(x=x1, y=y1), "1"=list(x=x2, y=y2),
+            "2"=list(x=x1+1, y=y1+1), "2"=list(x=x2+1, y=y2+1),
+            "3"=list(x=x1+2, y=y1+2), "3"=list(x=x2+2, y=y2+2)))
+## pch=5
+grob <- pointsGrob(1:3, 1:3, size=unit(1, "in"), default.units="in", pch=5)
+coords <- grobCoords(grob, closed=TRUE)
+x <- c(1 - sqrt(2)*RADIUS, 1, 1 + sqrt(2)*RADIUS, 1)
+y <- c(1, 1 + sqrt(2)*RADIUS, 1, 1 - sqrt(2)*RADIUS)
+mapply(check,
+       coords,
+       list("1"=list(x=x, y=y), "2"=list(x=x+1, y=y+1), "3"=list(x=x+2, y=y+2)))
+coords <- grobCoords(grob, closed=FALSE)
+stopifnot(isEmptyCoords(coords))
+## pch=6
+grob <- pointsGrob(1:3, 1:3, size=unit(1, "in"), default.units="in", pch=6)
+coords <- grobCoords(grob, closed=TRUE)
+x <- c(1, 1 + TRC1*RADIUS, 1 - TRC1*RADIUS)
+y <- c(1 - TRC0*RADIUS, 1 + TRC2*RADIUS, 1 + TRC2*RADIUS)
+mapply(check,
+       coords,
+       list("1"=list(x=x, y=y), "2"=list(x=x+1, y=y+1), "3"=list(x=x+2, y=y+2)))
+coords <- grobCoords(grob, closed=FALSE)
+stopifnot(isEmptyCoords(coords))
+## pch=7
+grob <- pointsGrob(1:3, 1:3, size=unit(1, "in"), default.units="in", pch=7)
+coords <- grobCoords(grob, closed=TRUE)
+x <- c(1 - RADIUS, 1 - RADIUS, 1 + RADIUS, 1 + RADIUS)
+y <- c(1 - RADIUS, 1 + RADIUS, 1 + RADIUS, 1 - RADIUS)
+mapply(check,
+       coords,
+       list("1"=list(x=x, y=y), "2"=list(x=x+1, y=y+1), "3"=list(x=x+2, y=y+2)))
+coords <- grobCoords(grob, closed=FALSE)
+x1 <- c(1 - RADIUS, 1 + RADIUS)
+y1 <- c(1 - RADIUS, 1 + RADIUS)
+x2 <- c(1 - RADIUS, 1 + RADIUS)
+y2 <- c(1 + RADIUS, 1 - RADIUS)
+mapply(check,
+       coords,
+       list("1"=list(x=x1, y=y1), "1"=list(x=x2, y=y2),
+            "2"=list(x=x1+1, y=y1+1), "2"=list(x=x2+1, y=y2+1),
+            "3"=list(x=x1+2, y=y1+2), "3"=list(x=x2+2, y=y2+2)))
+## pch=8
+grob <- pointsGrob(1:3, 1:3, size=unit(1, "in"), default.units="in", pch=8)
+coords <- grobCoords(grob, closed=TRUE)
+stopifnot(isEmptyCoords(coords))
+coords <- grobCoords(grob, closed=FALSE)
+x1 <- c(1 - RADIUS, 1 + RADIUS)
+y1 <- c(1 - RADIUS, 1 + RADIUS)
+x2 <- c(1 - RADIUS, 1 + RADIUS)
+y2 <- c(1 + RADIUS, 1 - RADIUS)
+x3 <- c(1 - sqrt(2)*RADIUS, 1 + sqrt(2)*RADIUS)
+y3 <- c(1, 1)
+x4 <- c(1, 1)
+y4 <- c(1 - sqrt(2)*RADIUS, 1 + sqrt(2)*RADIUS)
+mapply(check,
+       coords,
+       list("1"=list(x=x1, y=y1), "1"=list(x=x2, y=y2),
+            "1"=list(x=x3, y=y3), "1"=list(x=x4, y=y4),
+            "2"=list(x=x1+1, y=y1+1), "2"=list(x=x2+1, y=y2+1),
+            "2"=list(x=x3+1, y=y3+1), "2"=list(x=x4+1, y=y4+1),
+            "3"=list(x=x1+2, y=y1+2), "3"=list(x=x2+2, y=y2+2),
+            "3"=list(x=x3+2, y=y3+2), "3"=list(x=x4+2, y=y4+2)))
+## pch=9
+grob <- pointsGrob(1:3, 1:3, size=unit(1, "in"), default.units="in", pch=9)
+coords <- grobCoords(grob, closed=TRUE)
+x <- c(1 - sqrt(2)*RADIUS, 1, 1 + sqrt(2)*RADIUS, 1)
+y <- c(1, 1 + sqrt(2)*RADIUS, 1, 1 - sqrt(2)*RADIUS)
+mapply(check,
+       coords,
+       list("1"=list(x=x, y=y), "2"=list(x=x+1, y=y+1), "3"=list(x=x+2, y=y+2)))
+coords <- grobCoords(grob, closed=FALSE)
+x1 <- c(1 - sqrt(2)*RADIUS, 1 + sqrt(2)*RADIUS)
+y1 <- c(1, 1)
+x2 <- c(1, 1)
+y2 <- c(1 - sqrt(2)*RADIUS, 1 + sqrt(2)*RADIUS)
+mapply(check,
+       coords,
+       list("1"=list(x=x1, y=y1), "1"=list(x=x2, y=y2),
+            "2"=list(x=x1+1, y=y1+1), "2"=list(x=x2+1, y=y2+1),
+            "3"=list(x=x1+2, y=y1+2), "3"=list(x=x2+2, y=y2+2)))
+## pch=10
+grob <- pointsGrob(1:3, 1:3, size=unit(1, "in"), default.units="in", pch=10)
+coords <- grobCoords(grob, closed=TRUE, n=4)
+mapply(check,
+       lapply(coords, function(c) list(x=c$x[1], y=c$y[1])),
+       list("1"=list(x=1 + RADIUS, y=1),
+            "2"=list(x=2 + RADIUS, y=2),
+            "3"=list(x=3 + RADIUS, y=3)))
+coords <- grobCoords(grob, closed=FALSE)
+x1 <- c(1 - RADIUS, 1 + RADIUS)
+y1 <- c(1, 1)
+x2 <- c(1, 1)
+y2 <- c(1 - RADIUS, 1 + RADIUS)
+mapply(check,
+       coords,
+       list("1"=list(x=x1, y=y1), "1"=list(x=x2, y=y2),
+            "2"=list(x=x1+1, y=y1+1), "2"=list(x=x2+1, y=y2+1),
+            "3"=list(x=x1+2, y=y1+2), "3"=list(x=x2+2, y=y2+2)))
+## pch=11
+grob <- pointsGrob(1:3, 1:3, size=unit(1, "in"), default.units="in", pch=11)
+coords <- grobCoords(grob, closed=TRUE)
+x1 <- c(1, 1 + TRC1*RADIUS, 1 - TRC1*RADIUS)
+y1 <- c(1 - TRC0*RADIUS,
+        1 + .5*(TRC2*RADIUS + TRC0*RADIUS),
+        1 + .5*(TRC2*RADIUS + TRC0*RADIUS))
+x2 <- c(1, 1 + TRC1*RADIUS, 1 - TRC1*RADIUS)
+y2 <- c(1 + TRC0*RADIUS, 
+        1 - .5*(TRC2*RADIUS + TRC0*RADIUS),
+        1 - .5*(TRC2*RADIUS + TRC0*RADIUS))
+mapply(check,
+       coords,
+       list("1"=list(x=x1, y=y1), "1"=list(x=x2, y=y2),
+            "2"=list(x=x1+1, y=y1+1), "2"=list(x=x2+1, y=y2+1),
+            "3"=list(x=x1+2, y=y1+2), "3"=list(x=x2+2, y=y2+2)))
+coords <- grobCoords(grob, closed=FALSE)
+stopifnot(isEmptyCoords(coords))
+## pch=12
+grob <- pointsGrob(1:3, 1:3, size=unit(1, "in"), default.units="in", pch=12)
+coords <- grobCoords(grob, closed=TRUE)
+x <- c(1 - RADIUS, 1 - RADIUS, 1 + RADIUS, 1 + RADIUS)
+y <- c(1 - RADIUS, 1 + RADIUS, 1 + RADIUS, 1 - RADIUS)
+mapply(check,
+       coords,
+       list("1"=list(x=x, y=y), "2"=list(x=x+1, y=y+1), "3"=list(x=x+2, y=y+2)))
+coords <- grobCoords(grob, closed=FALSE)
+x1 <- c(1 - RADIUS, 1 + RADIUS)
+y1 <- c(1, 1)
+x2 <- c(1, 1)
+y2 <- c(1 - RADIUS, 1 + RADIUS)
+mapply(check,
+       coords,
+       list("1"=list(x=x1, y=y1), "1"=list(x=x2, y=y2),
+            "2"=list(x=x1+1, y=y1+1), "2"=list(x=x2+1, y=y2+1),
+            "3"=list(x=x1+2, y=y1+2), "3"=list(x=x2+2, y=y2+2)))
+## pch=13
+grob <- pointsGrob(1:3, 1:3, size=unit(1, "in"), default.units="in", pch=13)
+coords <- grobCoords(grob, closed=TRUE, n=4)
+mapply(check,
+       lapply(coords, function(c) list(x=c$x[1], y=c$y[1])),
+       list("1"=list(x=1 + RADIUS, y=1),
+            "2"=list(x=2 + RADIUS, y=2),
+            "3"=list(x=3 + RADIUS, y=3)))
+coords <- grobCoords(grob, closed=FALSE)
+x1 <- c(1 - RADIUS, 1 + RADIUS)
+y1 <- c(1 - RADIUS, 1 + RADIUS)
+x2 <- c(1 - RADIUS, 1 + RADIUS)
+y2 <- c(1 + RADIUS, 1 - RADIUS)
+mapply(check,
+       coords,
+       list("1"=list(x=x1, y=y1), "1"=list(x=x2, y=y2),
+            "2"=list(x=x1+1, y=y1+1), "2"=list(x=x2+1, y=y2+1),
+            "3"=list(x=x1+2, y=y1+2), "3"=list(x=x2+2, y=y2+2)))
+## pch=14
+grob <- pointsGrob(1:3, 1:3, size=unit(1, "in"), default.units="in", pch=14)
+coords <- grobCoords(grob, closed=TRUE)
+x1 <- c(1 - RADIUS, 1 - RADIUS, 1 + RADIUS, 1 + RADIUS)
+y1 <- c(1 - RADIUS, 1 + RADIUS, 1 + RADIUS, 1 - RADIUS)
+x2 <- c(1, 1 + RADIUS, 1 - RADIUS)
+y2 <- c(1 + RADIUS, 1 - RADIUS, 1 - RADIUS)
+mapply(check,
+       coords,
+       list("1"=list(x=x1, y=y1), "1"=list(x=x2, y=y2),
+            "2"=list(x=x1+1, y=y1+1), "2"=list(x=x2+1, y=y2+1),
+            "3"=list(x=x1+2, y=y1+2), "3"=list(x=x2+2, y=y2+2)))
+coords <- grobCoords(grob, closed=FALSE)
+stopifnot(isEmptyCoords(coords))
+## pch=15
+grob <- pointsGrob(1:3, 1:3, size=unit(1, "in"), default.units="in", pch=15)
+coords <- grobCoords(grob, closed=TRUE)
+x <- c(1 - RADIUS, 1 + RADIUS, 1 + RADIUS, 1 - RADIUS)
+y <- c(1 - RADIUS, 1 - RADIUS, 1 + RADIUS, 1 + RADIUS)
+mapply(check,
+       coords,
+       list("1"=list(x=x, y=y), "2"=list(x=x+1, y=y+1), "3"=list(x=x+2, y=y+2)))
+coords <- grobCoords(grob, closed=FALSE)
+stopifnot(isEmptyCoords(coords))
+## pch=16
+grob <- pointsGrob(1:3, 1:3, size=unit(1, "in"), default.units="in", pch=16)
+coords <- grobCoords(grob, closed=TRUE, n=4)
+mapply(check,
+       lapply(coords, function(c) list(x=c$x[1], y=c$y[1])),
+       list("1"=list(x=1 + RADIUS, y=1),
+            "2"=list(x=2 + RADIUS, y=2),
+            "3"=list(x=3 + RADIUS, y=3)))
+coords <- grobCoords(grob, closed=FALSE)
+stopifnot(isEmptyCoords(coords))
+## pch=17
+grob <- pointsGrob(1:3, 1:3, size=unit(1, "in"), default.units="in", pch=17)
+coords <- grobCoords(grob, closed=TRUE)
+x <- c(1, 1 + TRC1*RADIUS, 1 - TRC1*RADIUS)
+y <- c(1 + TRC0*RADIUS, 1 - TRC2*RADIUS, 1 - TRC2*RADIUS)
+mapply(check,
+       coords,
+       list("1"=list(x=x, y=y), "2"=list(x=x+1, y=y+1), "3"=list(x=x+2, y=y+2)))
+coords <- grobCoords(grob, closed=FALSE)
+stopifnot(isEmptyCoords(coords))
+## pch=18
+grob <- pointsGrob(1:3, 1:3, size=unit(1, "in"), default.units="in", pch=18)
+coords <- grobCoords(grob, closed=TRUE)
+x <- c(1 - RADIUS, 1, 1 + RADIUS, 1)
+y <- c(1, 1 + RADIUS, 1, 1 - RADIUS)
+mapply(check,
+       coords,
+       list("1"=list(x=x, y=y), "2"=list(x=x+1, y=y+1), "3"=list(x=x+2, y=y+2)))
+coords <- grobCoords(grob, closed=FALSE)
+stopifnot(isEmptyCoords(coords))
+## pch=19
+grob <- pointsGrob(1:3, 1:3, size=unit(1, "in"), default.units="in", pch=19)
+coords <- grobCoords(grob, closed=TRUE, n=4)
+mapply(check,
+       lapply(coords, function(c) list(x=c$x[1], y=c$y[1])),
+       list("1"=list(x=1 + RADIUS, y=1),
+            "2"=list(x=2 + RADIUS, y=2),
+            "3"=list(x=3 + RADIUS, y=3)))
+coords <- grobCoords(grob, closed=FALSE)
+stopifnot(isEmptyCoords(coords))
+## pch=20
+grob <- pointsGrob(1:3, 1:3, size=unit(1, "in"), default.units="in", pch=20)
+coords <- grobCoords(grob, closed=TRUE, n=4)
+mapply(check,
+       lapply(coords, function(c) list(x=c$x[1], y=c$y[1])),
+       list("1"=list(x=1 + SMALL, y=1),
+            "2"=list(x=2 + SMALL, y=2),
+            "3"=list(x=3 + SMALL, y=3)))
+coords <- grobCoords(grob, closed=FALSE)
+stopifnot(isEmptyCoords(coords))
+## pch=21
+grob <- pointsGrob(1:3, 1:3, size=unit(1, "in"), default.units="in", pch=21)
+coords <- grobCoords(grob, closed=TRUE)
+mapply(check,
+       lapply(coords, function(c) list(x=c$x[1], y=c$y[1])),
+       list(list(x=1 + RADIUS, y=1),
+            list(x=2 + RADIUS, y=2),
+            list(x=3 + RADIUS, y=3)))
+coords <- grobCoords(grob, closed=FALSE)
+stopifnot(isEmptyCoords(coords))
+## pch=22
+grob <- pointsGrob(1:3, 1:3, size=unit(1, "in"), default.units="in", pch=22)
+coords <- grobCoords(grob, closed=TRUE)
+x <- c(1 - RADIUS*SQRC, 1 - RADIUS*SQRC, 1 + RADIUS*SQRC, 1 + RADIUS*SQRC)
+y <- c(1 - RADIUS*SQRC, 1 + RADIUS*SQRC, 1 + RADIUS*SQRC, 1 - RADIUS*SQRC)
+mapply(check,
+       coords,
+       list("1"=list(x=x, y=y), "2"=list(x=x+1, y=y+1), "3"=list(x=x+2, y=y+2)))
+coords <- grobCoords(grob, closed=FALSE)
+stopifnot(isEmptyCoords(coords))
+## pch=23
+grob <- pointsGrob(1:3, 1:3, size=unit(1, "in"), default.units="in", pch=23)
+coords <- grobCoords(grob, closed=TRUE)
+x <- c(1, 1 + RADIUS*DMDC, 1, 1 - RADIUS*DMDC)
+y <- c(1 - RADIUS*DMDC, 1, 1 + RADIUS*DMDC, 1)
+mapply(check,
+       coords,
+       list("1"=list(x=x, y=y), "2"=list(x=x+1, y=y+1), "3"=list(x=x+2, y=y+2)))
+coords <- grobCoords(grob, closed=FALSE)
+stopifnot(isEmptyCoords(coords))
+## pch=24
+grob <- pointsGrob(1:3, 1:3, size=unit(1, "in"), default.units="in", pch=24)
+coords <- grobCoords(grob, closed=TRUE)
+x <- c(1, 1 + TRC1*RADIUS, 1 - TRC1*RADIUS)
+y <- c(1 + TRC0*RADIUS, 1 - TRC2*RADIUS, 1 - TRC2*RADIUS)
+mapply(check,
+       coords,
+       list("1"=list(x=x, y=y), "2"=list(x=x+1, y=y+1), "3"=list(x=x+2, y=y+2)))
+coords <- grobCoords(grob, closed=FALSE)
+stopifnot(isEmptyCoords(coords))
+## pch=25
+grob <- pointsGrob(1:3, 1:3, size=unit(1, "in"), default.units="in", pch=25)
+coords <- grobCoords(grob, closed=TRUE)
+x <- c(1, 1 + TRC1*RADIUS, 1 - TRC1*RADIUS)
+y <- c(1 - TRC0*RADIUS, 1 + TRC2*RADIUS, 1 + TRC2*RADIUS)
+mapply(check,
+       coords,
+       list("1"=list(x=x, y=y), "2"=list(x=x+1, y=y+1), "3"=list(x=x+2, y=y+2)))
+coords <- grobCoords(grob, closed=FALSE)
+stopifnot(isEmptyCoords(coords))
+
+#################################
+## coords from gTrees 
+## gridCoords(c(.2, .2, .8, .8), c(.2, .8, .8, .2))
+## gridPoints(list(gridCoords(c(.2, .2, .8, .8), c(.2, .8, .8, .2)),
+##                 gridCoords(c(.4, .4, .6, .6), c(.4, .6, .6, .4))))
+gtCheck <- function(x, y) {
+    stopifnot(identical(x, y))
+}
+x <- c(.5, .5, 1.5, 1.5)
+y <- c(.5, 1.5, 1.5, .5)
+gtCheck(grobPoints(rectGrob(1, 1, 1, 1, default.units="in", name="r"),
+                   closed=TRUE),
+        gridGrobCoords(list("1"=gridCoords(x, y)), "r"))
+gtCheck(grobPoints(rectGrob(1:2, 1, 1, 1,
+                            default.units="in", name="r"),
+                   closed=TRUE),
+        gridGrobCoords(list("1"=gridCoords(x, y),
+                            "2"=gridCoords(x + 1, y)),
+                       "r"))
+gtCheck(grobPoints(linesGrob(1:2, 1:2, default.units="in", name="l"),
+                   closed=FALSE),
+        gridGrobCoords(list("1"=gridCoords(1:2, 1:2)), "l"))
+gtCheck(grobPoints(polylineGrob(1:2, 1:2, default.units="in", name="pl"),
+                   closed=FALSE),
+        gridGrobCoords(list("1"=gridCoords(1:2, 1:2)), "pl"))
+gtCheck(grobPoints(polylineGrob(1:4, 1:4, id=rep(1:2, each=2),
+                                default.units="in", name="pl"),
+                   closed=FALSE),
+        gridGrobCoords(list("1"=gridCoords(1:2, 1:2),
+                            "2"=gridCoords(3:4, 3:4)), "pl"))
+gtCheck(grobPoints(polygonGrob(1:2, 1:2, default.units="in", name="p"),
+                   closed=TRUE),
+        gridGrobCoords(list("1"=gridCoords(1:2, 1:2)), "p"))
+gtCheck(grobPoints(polygonGrob(1:4, 1:4, id=rep(1:2, each=2),
+                                default.units="in", name="p"),
+                   closed=TRUE),
+        gridGrobCoords(list("1"=gridCoords(1:2, 1:2),
+                            "2"=gridCoords(3:4, 3:4)), "p"))
+gtCheck(grobPoints(pathGrob(1:2, 1:2, default.units="in", name="p"),
+                   closed=TRUE),
+        gridGrobCoords(list("1"=gridCoords(1:2, 1:2)), "p", "winding"))
+gtCheck(grobPoints(pathGrob(1:4, 1:4, id=rep(1:2, each=2),
+                                default.units="in", name="p"),
+                   closed=TRUE),
+        gridGrobCoords(list("1"=gridCoords(1:2, 1:2),
+                            "1"=gridCoords(3:4, 3:4)), "p", "winding"))
+gtCheck(grobPoints(pathGrob(1:4, 1:4, pathId=rep(1:2, each=2),
+                                default.units="in", name="p"),
+                   closed=TRUE),
+        gridGrobCoords(list("1"=gridCoords(1:2, 1:2),
+                            "2"=gridCoords(3:4, 3:4)), "p", "winding"))
+gtCheck(grobPoints(pathGrob(1:8, 1:8, id=rep(rep(1:2, each=2), 2),
+                            pathId=rep(1:2, each=4),
+                            default.units="in", name="p"),
+                   closed=TRUE),
+        gridGrobCoords(list("1"=gridCoords(1:2, 1:2),
+                            "1"=gridCoords(3:4, 3:4),
+                            "2"=gridCoords(5:6, 5:6),
+                            "2"=gridCoords(7:8, 7:8)),
+                       "p", "winding"))
+gtCheck(grobPoints(segmentsGrob(1:2, 1, 3, 2, default.units="in", name="s"),
+                   closed=FALSE),
+        gridGrobCoords(list("1"=gridCoords(c(1, 3), 1:2),
+                            "2"=gridCoords(c(2, 3), 1:2)), "s"))
+x <- c(.5, .5, 1.5, 1.5)
+y <- c(.5, 1.5, 1.5, .5)
+r <- function(i) {
+    rectGrob(1, 1, 1, 1, default.units="in", name=paste0("r", i))
+}
+r1 <- r(1)
+r2 <- r(2)
+r3 <- r(3)
+gc <- function(i) {
+    gridGrobCoords(list("1"=gridCoords(x, y)), paste0("r", i))
+}
+gc1 <- gc(1)
+gc2 <- gc(2)
+gc3 <- gc(3)
+gtCheck(grobPoints(gTree(children=gList(r1), name="gt1"), closed=TRUE),
+        gridGTreeCoords(list(gc1), "gt1"))
+gtCheck(grobPoints(gTree(children=gList(r1, r2), name="gt1"), closed=TRUE),
+        gridGTreeCoords(list(gc1, gc2),
+                        "gt1"))
+gtCheck(grobPoints(gTree(children=gList(r1,
+                                        gTree(children=gList(r2), name="gt2"),
+                                        r3),
+                         name="gt1"), closed=TRUE),
+        gridGTreeCoords(list(gc1,
+                             gridGTreeCoords(list(gc2), "gt2"),
+                             gc3),
+                        "gt1"))
+gtCheck(grobPoints(gTree(children=gList(gTree(children=gList(r1),
+                                              name="gt2")),
+                         name="gt1"),
+                   closed=TRUE),
+        gridGTreeCoords(list(gridGTreeCoords(list(gc1), "gt2")), "gt1"))
+stopifnot(isEmptyCoords(grobPoints(gTree())))
+stopifnot(isEmptyCoords(grobPoints(gTree(children=gList(segmentsGrob(0, 0:1,
+                                                                     1, 1:0))),
+                                   closed=TRUE)))
+
+#################################
+#################################
+## Close PNG device
+dev.off()
+#################################
+#################################
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/grid/tests/compositing.R
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/grid/tests/compositing.R	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/grid/tests/compositing.R	(revision 3761)
@@ -0,0 +1,107 @@
+
+library(grid)
+
+HersheyLabel <- function(x, y=unit(.5, "npc")) {
+    lines <- strsplit(x, "\n")[[1]]
+    if (!is.unit(y))
+        y <- unit(y, "npc")
+    n <- length(lines)
+    if (n > 1) {
+        y <- y + unit(rev(seq(n)) - mean(seq(n)), "lines")
+    }
+    grid.text(lines, y=y, gp=gpar(fontfamily="HersheySans"))
+}
+
+r1 <- rectGrob(x=1/3, y=2/3, width=.5, height=.5,
+               gp=gpar(col=NA, fill=rgb(.7, 0, 0, .8)))
+r2 <- rectGrob(x=2/3, y=1/3, width=.5, height=.5,
+               gp=gpar(col=NA, fill=rgb(0, 0, .9, .4)))
+
+group <- function(op) {
+    grid.rect()
+    grid.group(r2, op, r1)
+    HersheyLabel(op, y=1/4)
+}
+porterDuff <- function() {
+    grid.newpage()
+    pushViewport(viewport(layout=grid.layout(3, 4, respect=TRUE)))
+    pushViewport(viewport(layout.pos.row=1, layout.pos.col=1))
+    group("over")
+    popViewport()
+    pushViewport(viewport(layout.pos.row=1, layout.pos.col=2))
+    group("clear")
+    popViewport()
+    pushViewport(viewport(layout.pos.row=1, layout.pos.col=3))
+    group("source")
+    popViewport()
+    pushViewport(viewport(layout.pos.row=1, layout.pos.col=4))
+    group("in")
+    popViewport()
+    pushViewport(viewport(layout.pos.row=2, layout.pos.col=1))
+    group("out")
+    popViewport()
+    pushViewport(viewport(layout.pos.row=2, layout.pos.col=2))
+    group("atop")
+    popViewport()
+    pushViewport(viewport(layout.pos.row=2, layout.pos.col=3))
+    group("dest")
+    popViewport()
+    pushViewport(viewport(layout.pos.row=2, layout.pos.col=4))
+    group("dest.over")
+    popViewport()
+    pushViewport(viewport(layout.pos.row=3, layout.pos.col=1))
+    group("dest.in")
+    popViewport()
+    pushViewport(viewport(layout.pos.row=3, layout.pos.col=2))
+    group("dest.out")
+    popViewport()
+    pushViewport(viewport(layout.pos.row=3, layout.pos.col=3))
+    group("dest.atop")
+    popViewport()
+    pushViewport(viewport(layout.pos.row=3, layout.pos.col=4))
+    group("xor")
+    popViewport()
+}
+blendModes <- function() {
+    grid.newpage()
+    pushViewport(viewport(layout=grid.layout(3, 4, respect=TRUE)))
+    pushViewport(viewport(layout.pos.row=1, layout.pos.col=1))
+    group("add")
+    popViewport()
+    pushViewport(viewport(layout.pos.row=1, layout.pos.col=2))
+    group("saturate")
+    popViewport()
+    pushViewport(viewport(layout.pos.row=1, layout.pos.col=3))
+    group("multiply")
+    popViewport()
+    pushViewport(viewport(layout.pos.row=1, layout.pos.col=4))
+    group("screen")
+    popViewport()
+    pushViewport(viewport(layout.pos.row=2, layout.pos.col=1))
+    group("overlay")
+    popViewport()
+    pushViewport(viewport(layout.pos.row=2, layout.pos.col=2))
+    group("darken")
+    popViewport()
+    pushViewport(viewport(layout.pos.row=2, layout.pos.col=3))
+    group("lighten")
+    popViewport()
+    pushViewport(viewport(layout.pos.row=2, layout.pos.col=4))
+    group("color.dodge")
+    popViewport()
+    pushViewport(viewport(layout.pos.row=3, layout.pos.col=1))
+    group("color.burn")
+    popViewport()
+    pushViewport(viewport(layout.pos.row=3, layout.pos.col=2))
+    group("hard.light")
+    popViewport()
+    pushViewport(viewport(layout.pos.row=3, layout.pos.col=3))
+    group("soft.light")
+    popViewport()
+    pushViewport(viewport(layout.pos.row=3, layout.pos.col=4))
+    group("difference")
+    popViewport()
+}
+
+porterDuff()
+blendModes()
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/grid/tests/grep.R
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/grid/tests/grep.R	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/grid/tests/grep.R	(revision 3761)
@@ -0,0 +1,49 @@
+library(grid)
+
+## Set up
+grid.newpage()
+pushViewport(viewport(name="a.vp"))
+grid.rect(name="a.grob")
+
+## Default finds only grobs (no vpPath)
+result <- grid.grep("a", grep=TRUE, global=TRUE)
+result
+attr(result[[1]], "vpPath")
+
+## 'viewports = TRUE' (and 'vpPath = TRUE')
+## finds grobs and viewports (AND vpPath on grobs)
+result <- grid.grep("a", grep=TRUE, global=TRUE, viewports=TRUE)
+result
+attr(result[[2]], "vpPath")
+
+## 'viewports = FALSE' and 'vpPath = TRUE'
+## finds only grobs AND vpPath on grobs
+result <- grid.grep("a", grep=TRUE, global=TRUE, vpPath=TRUE)
+result
+attr(result[[1]], "vpPath")
+
+## 'viewports = TRUE' and 'vpPath = FALSE'
+## finds viewports and grobs (no vpPath)
+result <- grid.grep("a", grep=TRUE, global=TRUE, viewports=TRUE, vpPath=FALSE)
+result
+attr(result[[2]], "vpPath")
+
+###########################
+## global=FALSE versions
+
+## grob (no vpPath)
+result <- grid.grep("a", grep=TRUE)
+result
+attr(result, "vpPath")
+## viewport (NULL vpPath)
+result <- grid.grep("a", grep=TRUE, viewports=TRUE)
+result
+attr(result, "vpPath")
+## grob with vpPath
+result <- grid.grep("a", grep=TRUE, vpPath=TRUE)
+result
+attr(result, "vpPath")
+## viewport (NULL vpPath)
+result <- grid.grep("a", grep=TRUE, viewports=TRUE, vpPath=FALSE)
+result
+attr(result, "vpPath")
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/grid/tests/reg.R
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/grid/tests/reg.R	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/grid/tests/reg.R	(revision 3761)
@@ -0,0 +1,433 @@
+library(grid)
+
+# Unit conversions
+stopifnot(round(convertX(unit(1, "inches"), "inches", valueOnly=TRUE) - 1,
+                digits=5) == 0)
+stopifnot(round(convertX(unit(2.54, "cm"), "inches", valueOnly=TRUE) - 1,
+                digits=5) == 0)
+stopifnot(round(convertX(unit(25.4, "mm"), "inches", valueOnly=TRUE) - 1,
+                digits=5) == 0)
+stopifnot(round(convertX(unit(72.27, "points"), "inches", valueOnly=TRUE) - 1,
+                digits=5) == 0)
+stopifnot(round(convertX(unit(1/12*72.27, "picas"), "inches",
+                         valueOnly=TRUE) - 1, digits=5) == 0)
+stopifnot(round(convertX(unit(72, "bigpts"), "inches", valueOnly=TRUE) - 1,
+                digits=5) == 0)
+stopifnot(round(convertX(unit(1157/1238*72.27, "dida"), "inches",
+                         valueOnly=TRUE) - 1, digits=5) == 0)
+stopifnot(round(convertX(unit(1/12*1157/1238*72.27, "cicero"), "inches",
+                         valueOnly=TRUE) - 1, digits=5) == 0)
+stopifnot(round(convertX(unit(65536*72.27, "scaledpts"), "inches",
+                         valueOnly=TRUE) - 1, digits=5) == 0)
+stopifnot(round(convertX(unit(1/2.54, "inches"), "cm", valueOnly=TRUE) - 1,
+                digits=5) == 0)
+stopifnot(round(convertX(unit(1/25.4, "inches"), "mm", valueOnly=TRUE) - 1,
+                digits=5) == 0)
+stopifnot(round(convertX(unit(1/72.27, "inches"), "points",
+                         valueOnly=TRUE) - 1, digits=5) == 0)
+stopifnot(round(convertX(unit(1/(1/12*72.27), "inches"), "picas",
+                         valueOnly=TRUE) - 1, digits=5) == 0)
+stopifnot(round(convertX(unit(1/72, "inches"), "bigpts", valueOnly=TRUE) - 1,
+                digits=5) == 0)
+stopifnot(round(convertX(unit(1/(1157/1238*72.27), "inches"), "dida",
+                         valueOnly=TRUE) - 1, digits=5) == 0)
+stopifnot(round(convertX(unit(1/(1/12*1157/1238*72.27), "inches"), "cicero",
+                         valueOnly=TRUE) - 1, digits=5) == 0)
+stopifnot(round(convertX(unit(1/(65536*72.27), "inches"), "scaledpts",
+                         valueOnly=TRUE) - 1, digits=5) == 0)
+
+pushViewport(viewport(width=unit(1, "inches"),
+                       height=unit(2, "inches"),
+                       xscale=c(0, 1),
+                       yscale=c(1, 3)))
+  ## Location versus dimension
+stopifnot(round(convertY(unit(2, "native"), "inches", valueOnly=TRUE) -
+                1, digits=5) == 0)
+stopifnot(round(convertHeight(unit(2, "native"), "inches", valueOnly=TRUE) -
+                2, digits=5) == 0)
+  ## From "x" to "y" (the conversion is via "inches")
+stopifnot(round(convertUnit(unit(1, "native"), "native",
+                            axisFrom="x", axisTo="y", valueOnly=TRUE) -
+                2, digits=5) == 0)
+  ## Convert several values at once
+stopifnot(all(round(convertX(unit(c(0.5, 2.54), c("npc", "cm")),
+                             c("inches", "native"), valueOnly=TRUE) -
+                    c(0.5, 1), digits=5) == 0))
+popViewport()
+
+# packing a frame inside a frame
+fg <- frameGrob()
+fg <- packGrob(fg, textGrob("Hi there"))
+
+fg2 <- frameGrob()
+fg2 <- packGrob(fg2, fg)
+fg2 <- packGrob(fg2, rectGrob(), side="bottom")
+fg2 <- packGrob(fg2, rectGrob(height=unit(1, "inches")), side="top")
+
+stopifnot(convertHeight(fg2$framevp$layout$heights, "inches",
+                        valueOnly=TRUE)[2] < 1)
+
+# Regression tests for:
+
+# A: grob[X|Y|Width|Height]
+
+# B: grid.[circle|lines|segments|rect|polygon|text|xspline|points]
+
+# C: at angles seq(0, 360, 45)[-1]
+
+# D: single AND multiple output 
+
+# In each casem, set up a situation where the answer is (easily) known,
+# then compare the numeric answer
+
+test <- function(x, y) {
+    on.exit(cat(paste("x =", x, " ; y =", y, "\n")))
+    stopifnot(isTRUE(all.equal(x, y)))
+}
+
+testX <- function(x1, x2) {
+    test(convertX(x1, "inches", valueOnly=TRUE),
+         convertX(x2, "inches", valueOnly=TRUE))
+}
+
+testY <- function(y1, y2) {
+    test(convertY(y1, "inches", valueOnly=TRUE),
+         convertY(y2, "inches", valueOnly=TRUE))
+}
+
+testWidth <- function(w1, w2) {
+    test(convertWidth(w1, "inches", valueOnly=TRUE),
+         convertWidth(w2, "inches", valueOnly=TRUE))
+}
+
+testHeight <- function(h1, h2) {
+    test(convertHeight(h1, "inches", valueOnly=TRUE),
+         convertHeight(h2, "inches", valueOnly=TRUE))
+}
+
+########
+# CIRCLE
+########
+# A = X;  B = circle; C = ALL; D = BOTH
+for (theta in seq(0, 360, 45)[-1]) {
+    testX(grobX(circleGrob(r=unit(.5, "inches")), theta),
+          unit(.5, "npc") + cos(theta/180*pi)*unit(.5, "inches"))
+    # Bounding box is 1" by 1"
+    testX(grobX(circleGrob(x=unit(.5, "npc") + unit(c(-.25, .25), "inches"),
+                           y=unit(.5, "npc") + unit(c(-.25, .25), "inches"),
+                           r=unit(.25, "inches")),
+                theta),
+          switch(as.character(theta),
+                 "360"=, "315"=,
+                 "45"=unit(.5, "npc") + unit(.5, "inches"),
+                 "180"=, "225"=,
+                 "135"=unit(.5, "npc") - unit(.5, "inches"),
+                 "90"=,
+                 "270"=unit(.5, "npc")))
+}
+
+# A = Y;  B = circle; C = ALL; D = BOTH
+for (theta in seq(0, 360, 45)[-1]) {
+    testY(grobY(circleGrob(r=unit(.5, "inches")), theta),
+          unit(.5, "npc") + sin(theta/180*pi)*unit(.5, "inches"))
+    # Bounding box is 1" by 1"
+    testY(grobY(circleGrob(x=unit(.5, "npc") + unit(c(-.25, .25), "inches"),
+                           y=unit(.5, "npc") + unit(c(-.25, .25), "inches"),
+                           r=unit(.25, "inches")),
+                theta),
+          switch(as.character(theta),
+                 "90"=, "135"=,
+                 "45"=unit(.5, "npc") + unit(.5, "inches"),
+                 "270"=, "315"=,
+                 "225"=unit(.5, "npc") - unit(.5, "inches"),
+                 "180"=,
+                 "360"=unit(.5, "npc")))
+}
+
+# A = Width;  B = circle; C = ALL; D = BOTH
+testWidth(grobWidth(circleGrob(r=unit(.5, "inches"))),
+          unit(1, "inches"))
+testWidth(grobWidth(circleGrob(x=unit(.5, "npc") +
+                               unit(c(-.25, .25), "inches"),
+                               y=unit(.5, "npc") +
+                               unit(c(-.25, .25), "inches"),
+                               r=unit(.25, "inches"))),
+          unit(1, "inches"))          
+                    
+# A = Height;  B = circle; C = ALL; D = BOTH
+testHeight(grobHeight(circleGrob(r=unit(.5, "inches"))),
+          unit(1, "inches"))
+testHeight(grobHeight(circleGrob(x=unit(.5, "npc") +
+                                 unit(c(-.25, .25), "inches"),
+                                 y=unit(.5, "npc") +
+                                 unit(c(-.25, .25), "inches"),
+                                 r=unit(.25, "inches"))),
+           unit(1, "inches"))          
+                    
+########
+# RECT
+########
+# A = X;  B = rect; C = ALL; D = BOTH
+for (theta in seq(0, 360, 45)[-1]) {
+    testX(grobX(rectGrob(width=unit(1, "inches"),
+                         height=unit(1, "inches")), theta),
+          switch(as.character(theta),
+                 "360"=, "315"=,
+                 "45"=unit(.5, "npc") + unit(.5, "inches"),
+                 "180"=, "225"=,
+                 "135"=unit(.5, "npc") - unit(.5, "inches"),
+                 "90"=,
+                 "270"=unit(.5, "npc")))
+    # Bounding box is 1" by 1"
+    testX(grobX(rectGrob(x=unit(.5, "npc") + unit(c(-.25, .25), "inches"),
+                         y=unit(.5, "npc") + unit(c(-.25, .25), "inches"),
+                         width=unit(.5, "inches"),
+                         height=unit(.5, "inches")),
+                theta),
+          switch(as.character(theta),
+                 "360"=, "315"=,
+                 "45"=unit(.5, "npc") + unit(.5, "inches"),
+                 "180"=, "225"=,
+                 "135"=unit(.5, "npc") - unit(.5, "inches"),
+                 "90"=,
+                 "270"=unit(.5, "npc")))
+}
+
+# A = Y;  B = rect; C = ALL; D = BOTH
+for (theta in seq(0, 360, 45)[-1]) {
+    testY(grobY(rectGrob(width=unit(1, "inches"),
+                         height=unit(1, "inches")), theta),
+          switch(as.character(theta),
+                 "90"=, "135"=,
+                 "45"=unit(.5, "npc") + unit(.5, "inches"),
+                 "270"=, "315"=,
+                 "225"=unit(.5, "npc") - unit(.5, "inches"),
+                 "180"=,
+                 "360"=unit(.5, "npc")))
+    # Bounding box is 1" by 1"
+    testY(grobY(rectGrob(x=unit(.5, "npc") + unit(c(-.25, .25), "inches"),
+                         y=unit(.5, "npc") + unit(c(-.25, .25), "inches"),
+                         width=unit(.5, "inches"),
+                         height=unit(.5, "inches")),
+                theta),
+          switch(as.character(theta),
+                 "90"=, "135"=,
+                 "45"=unit(.5, "npc") + unit(.5, "inches"),
+                 "270"=, "315"=,
+                 "225"=unit(.5, "npc") - unit(.5, "inches"),
+                 "180"=,
+                 "360"=unit(.5, "npc")))
+}
+
+# A = Width;  B = rect; C = ALL; D = BOTH
+testWidth(grobWidth(rectGrob(width=unit(1, "inches"),
+                             height=unit(1, "inches"))),
+          unit(1, "inches"))
+testWidth(grobWidth(rectGrob(x=unit(.5, "npc") +
+                             unit(c(-.25, .25), "inches"),
+                             y=unit(.5, "npc") +
+                             unit(c(-.25, .25), "inches"),
+                             width=unit(.5, "inches"),
+                             height=unit(.5, "inches"))),
+          unit(1, "inches"))          
+                    
+# A = Height;  B = rect; C = ALL; D = BOTH
+testHeight(grobHeight(rectGrob(width=unit(1, "inches"),
+                               height=unit(1, "inches"))),
+           unit(1, "inches"))
+testHeight(grobHeight(rectGrob(x=unit(.5, "npc") +
+                               unit(c(-.25, .25), "inches"),
+                               y=unit(.5, "npc") +
+                               unit(c(-.25, .25), "inches"),
+                               width=unit(.5, "inches"),
+                               height=unit(.5, "inches"))),
+           unit(1, "inches"))          
+                    
+########
+# polygon
+# Four locations in a diamond
+########
+# A = X;  B = polygon; C = ALL; D = BOTH
+for (theta in seq(0, 360, 45)[-1]) {
+    testX(grobX(polygonGrob(x=unit(.5, "npc") +
+                            unit(c(-.5, 0, .5, 0), "inches"),
+                            y=unit(.5, "npc") +
+                            unit(c(0, -.5, 0, .5), "inches")),
+                theta),
+          switch(as.character(theta),
+                 "45"=,
+                 "315"=unit(.5, "npc") + unit(.25, "inches"),
+                 "90"=,
+                 "270"=unit(.5, "npc"),
+                 "135"=,
+                 "225"=unit(.5, "npc") - unit(.25, "inches"),
+                 "180"=unit(.5, "npc") - unit(.5, "inches"),
+                 "360"=unit(.5, "npc") + unit(.5, "inches")))
+    # NOTE:  for polygons, even if there are multiple polygons,
+    # we still produce edge of hull for ALL points
+    testX(grobX(polygonGrob(x=unit(.5, "npc") +
+                            unit(c(-.5, -.25, 0, -.25,
+                                   0, .25, .5, .25), "inches"),
+                            y=unit(.5, "npc") +
+                            unit(c(-.25, -.5, -.25, 0,
+                                   .25, 0, .25, .5), "inches"),
+                            id=rep(1:2, each=4)),
+                theta),
+          switch(as.character(theta),
+                 "45"=unit(.5, "npc") + unit(.375, "inches"),
+                 "90"=unit(.5, "npc"),
+                 "135"=unit(.5, "npc") - unit(.125, "inches"),
+                 "180"=unit(.5, "npc") - unit(.25, "inches"),
+                 "225"=unit(.5, "npc") - unit(.375, "inches"),
+                 "270"=unit(.5, "npc"),
+                 "315"=unit(.5, "npc") + unit(.125, "inches"),
+                 "360"=unit(.5, "npc") + unit(.25, "inches")))
+}
+
+# A = Y;  B = polygon; C = ALL; D = BOTH
+for (theta in seq(0, 360, 45)[-1]) {
+    testY(grobY(polygonGrob(x=unit(.5, "npc") +
+                            unit(c(-.5, 0, .5, 0), "inches"),
+                            y=unit(.5, "npc") +
+                            unit(c(0, -.5, 0, .5), "inches")),
+                theta),
+          switch(as.character(theta),
+                 "45"=,
+                 "135"=unit(.5, "npc") + unit(.25, "inches"),
+                 "90"=unit(.5, "npc") + unit(.5, "inches"),
+                 "180"=,
+                 "360"=unit(.5, "npc"),
+                 "225"=,
+                 "315"=unit(.5, "npc") - unit(.25, "inches"),
+                 "270"=unit(.5, "npc") - unit(.5, "inches")))
+    # NOTE:  for polygons, even if there are multiple polygons,
+    # we still produce edge of hull for ALL points
+    testY(grobY(polygonGrob(x=unit(.5, "npc") +
+                            unit(c(-.5, -.25, 0, -.25,
+                                   0, .25, .5, .25), "inches"),
+                            y=unit(.5, "npc") +
+                            unit(c(-.25, -.5, -.25, 0,
+                                   .25, 0, .25, .5), "inches"),
+                            id=rep(1:2, each=4)),
+                theta),
+          switch(as.character(theta),
+                 "45"=unit(.5, "npc") + unit(.375, "inches"),
+                 "90"=unit(.5, "npc") + unit(.25, "inches"),
+                 "135"=unit(.5, "npc") + unit(.125, "inches"),
+                 "180"=unit(.5, "npc"),
+                 "225"=unit(.5, "npc") - unit(.375, "inches"),
+                 "270"=unit(.5, "npc") - unit(.25, "inches"),
+                 "315"=unit(.5, "npc") - unit(.125, "inches"),
+                 "360"=unit(.5, "npc")))
+}
+
+# A = Width;  B = polygon; C = ALL; D = BOTH
+testWidth(grobWidth(polygonGrob(x=unit(.5, "npc") +
+                            unit(c(-.5, 0, .5, 0), "inches"),
+                            y=unit(.5, "npc") +
+                            unit(c(0, -.5, 0, .5), "inches"))),
+          unit(1, "inches"))
+testWidth(grobWidth(polygonGrob(x=unit(.5, "npc") +
+                            unit(c(-.5, -.25, 0, -.25,
+                                   0, .25, .5, .25), "inches"),
+                            y=unit(.5, "npc") +
+                            unit(c(-.25, -.5, -.25, 0,
+                                   .25, 0, .25, .5), "inches"),
+                            id=rep(1:2, each=4))),
+          unit(1, "inches"))          
+                    
+# A = Height;  B = polygon; C = ALL; D = BOTH
+testHeight(grobHeight(polygonGrob(x=unit(.5, "npc") +
+                            unit(c(-.5, 0, .5, 0), "inches"),
+                            y=unit(.5, "npc") +
+                            unit(c(0, -.5, 0, .5), "inches"))),
+          unit(1, "inches"))
+testHeight(grobHeight(polygonGrob(x=unit(.5, "npc") +
+                            unit(c(-.5, -.25, 0, -.25,
+                                   0, .25, .5, .25), "inches"),
+                            y=unit(.5, "npc") +
+                            unit(c(-.25, -.5, -.25, 0,
+                                   .25, 0, .25, .5), "inches"),
+                            id=rep(1:2, each=4))),
+           unit(1, "inches"))          
+                    
+########
+# TEXT
+########
+# A = X;  B = text; C = ALL; D = BOTH
+str <- "testcase"
+strw <- stringWidth(str)
+strh <- stringHeight(str)
+for (theta in seq(0, 360, 45)[-1]) {
+    testX(grobX(textGrob(str), theta),
+          switch(as.character(theta),
+                 "360"=unit(.5, "npc") + 0.5*strw,
+                 "135"=,
+                 "45"=unit(.5, "npc") + 1/tan(theta/180*pi)*0.5*strh,
+                 "315"=,
+                 "225"=unit(.5, "npc") - 1/tan(theta/180*pi)*0.5*strh,
+                 "180"=unit(.5, "npc") - 0.5*strw,
+                 "90"=,
+                 "270"=unit(.5, "npc")))
+    # Bounding box is 1" by 1"
+    testX(grobX(textGrob(str,
+                         x=unit(.5, "npc") + unit(c(-.5, .5), "inches"),
+                         y=unit(.5, "npc") + unit(c(-.5, .5), "inches"),
+                         hjust=c(0, 1), vjust=c(0, 1)),
+                theta),
+          switch(as.character(theta),
+                 "360"=, "315"=,
+                 "45"=unit(.5, "npc") + unit(.5, "inches"),
+                 "180"=, "225"=,
+                 "135"=unit(.5, "npc") - unit(.5, "inches"),
+                 "90"=,
+                 "270"=unit(.5, "npc")))
+}
+
+# A = Y;  B = text; C = ALL; D = BOTH
+for (theta in seq(0, 360, 45)[-1]) {
+    testY(grobY(textGrob(str), theta),
+          switch(as.character(theta),
+                 "90"=, "135"=,
+                 "45"=unit(.5, "npc") + 0.5*strh,
+                 "270"=, "315"=,
+                 "225"=unit(.5, "npc") - 0.5*strh,
+                 "180"=,
+                 "360"=unit(.5, "npc")))
+    # Bounding box is 1" by 1"
+    testY(grobY(textGrob(str,
+                         x=unit(.5, "npc") + unit(c(-.5, .5), "inches"),
+                         y=unit(.5, "npc") + unit(c(-.5, .5), "inches"),
+                         hjust=c(0, 1), vjust=c(0, 1)),
+                theta),
+          switch(as.character(theta),
+                 "90"=, "135"=,
+                 "45"=unit(.5, "npc") + unit(.5, "inches"),
+                 "270"=, "315"=,
+                 "225"=unit(.5, "npc") - unit(.5, "inches"),
+                 "180"=,
+                 "360"=unit(.5, "npc")))
+}
+
+# A = Width;  B = text; C = ALL; D = BOTH
+testWidth(grobWidth(textGrob(str)),
+          strw)
+testWidth(grobWidth(textGrob(str,
+                             x=unit(.5, "npc") + unit(c(-.5, .5), "inches"),
+                             y=unit(.5, "npc") + unit(c(-.5, .5), "inches"),
+                             hjust=c(0, 1), vjust=c(0, 1))),
+          unit(1, "inches"))          
+                    
+# A = Height;  B = text; C = ALL; D = BOTH
+testHeight(grobHeight(textGrob(str)),
+          strh)
+testHeight(grobHeight(textGrob(str,
+                               x=unit(.5, "npc") + unit(c(-.5, .5), "inches"),
+                               y=unit(.5, "npc") + unit(c(-.5, .5), "inches"),
+                               hjust=c(0, 1), vjust=c(0, 1))),
+           unit(1, "inches"))
+
+# Determining unit lengths
+stopifnot(length(unit.c(unit(1, "npc") + unit(1, "cm"), unit(2, "cm"))) == 2)
+stopifnot(length(unit.c(unit(1, "npc") + unit(1, "cm"), unit(2:4, "cm"))) == 4)
+stopifnot(length(unit.c(unit(1:3, "npc") + unit(1, "cm"), unit(2:4, "cm"))) == 6)
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/grid/tests/masks.R
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/grid/tests/masks.R	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/grid/tests/masks.R	(revision 3761)
@@ -0,0 +1,329 @@
+
+library(grid)
+
+HersheyLabel <- function(x, y=unit(.5, "npc")) {
+    lines <- strsplit(x, "\n")[[1]]
+    if (!is.unit(y))
+        y <- unit(y, "npc")
+    n <- length(lines)
+    if (n > 1) {
+        y <- y + unit(rev(seq(n)) - mean(seq(n)), "lines")
+    }
+    grid.text(lines, y=y, gp=gpar(fontfamily="HersheySans"))
+}
+
+################################################################################
+
+## Simple mask
+mask <- circleGrob(r=.3, gp=gpar(fill="black"))
+grid.newpage()
+pushViewport(viewport(mask=mask))
+grid.rect(width=.5, gp=gpar(fill="black"))
+popViewport()
+HersheyLabel("solid black rectangle with circle mask", y=.1)
+
+## VERY thin mask
+mask <- circleGrob(r=.3, gp=gpar(fill=NA))
+grid.newpage()
+pushViewport(viewport(mask=mask))
+grid.rect(width=.5, gp=gpar(fill="black"))
+popViewport()
+HersheyLabel("solid black rectangle with circle BORDER mask", y=.1)
+
+## Multiple grobs mask
+mask <- circleGrob(x=1:3/4, y=1:3/4, r=.1, gp=gpar(fill="black"))
+grid.newpage()
+pushViewport(viewport(mask=mask))
+grid.rect(width=.5, gp=gpar(fill="black"))
+popViewport()
+HersheyLabel("solid black rectangle with three-circle mask", y=.1)
+
+## Mask with gradient on single grob
+mask <- circleGrob(gp=gpar(col=NA,
+                           fill=radialGradient(c("black", "transparent"))))
+grid.newpage()
+pushViewport(viewport(mask=mask))
+grid.rect(width=.5, gp=gpar(fill="black"))
+popViewport()
+HersheyLabel("solid black rectangle with radial gradient mask", y=.1)
+
+## Mask with gradient on multiple grobs
+grid.newpage()
+pushViewport(viewport(mask=mask))
+grid.rect(x=1:2/3, width=.2, gp=gpar(fill="black"))
+popViewport()
+HersheyLabel("two solid black rectangles with radial gradient mask", y=.1)
+
+## Mask with clipping path
+mask <- gTree(children=gList(rectGrob(gp=gpar(fill="black"))),
+              vp=viewport(clip=circleGrob(r=.4)))
+grid.newpage()
+pushViewport(viewport(mask=mask))
+grid.rect(width=.5, gp=gpar(fill="grey"))
+popViewport()
+HersheyLabel("rect is half width and filled grey
+mask is full rect with circle clipping path
+result is half width rect with rounded top and bottom", y=.1)
+
+## Mask with a mask
+mask <- gTree(children=gList(rectGrob(gp=gpar(fill="black"))),
+              vp=viewport(mask=circleGrob(r=.4, gp=gpar(fill="black"))))
+grid.newpage()
+pushViewport(viewport(mask=mask))
+grid.rect(width=.5, gp=gpar(fill="grey"))
+popViewport()
+HersheyLabel("rect is half width and filled grey
+mask is full rect with circle mask
+result is half width rect with rounded top and bottom", y=.1)
+
+## A mask from two grobs, with ONE grob making use of a clipping path 
+grid.newpage()
+mask <- gTree(children=gList(rectGrob(x=.25, width=.3, height=.8,
+                                      gp=gpar(fill="black"),
+                                      vp=viewport(clip=circleGrob(r=.4))),
+                             rectGrob(x=.75, width=.3, height=.8,
+                                      gp=gpar(fill="black"))))
+pushViewport(viewport(mask=mask))
+grid.rect(gp=gpar(fill="grey"))
+popViewport()
+HersheyLabel("mask is two grobs, ONE with its own (circle) clip path
+push mask
+rect
+result is one slice of circle and one rectangle")
+
+## A mask that is equivalent to ...
+## A clipping path that itself makes use of a clipping path !?
+grid.newpage()
+mask <- rectGrob(gp=gpar(fill="black"),
+                 vp=viewport(width=.5, height=.5, clip=circleGrob()))
+pushViewport(viewport(mask=mask))
+grid.rect(gp=gpar(fill="grey"))
+HersheyLabel("mask includes clip path
+(clip path is circle)
+push mask
+rect
+small grey circle")
+
+## A mask that is equivalent to ...
+## A clipping path that itself makes use of a rectangular clipping !?
+grid.newpage()
+mask <- circleGrob(r=.6,
+                   gp=gpar(fill="black"),
+                   vp=viewport(width=.5, height=.5, clip=TRUE))
+pushViewport(viewport(mask=mask))
+grid.rect(gp=gpar(fill="grey"))
+HersheyLabel("mask includes clip rect
+(mask is squared circle)
+push mask
+rect
+grey squared circle")
+
+## Inheriting masks (between viewports)
+grid.newpage()
+pushViewport(viewport(mask=circleGrob(gp=gpar(fill="black"))))
+pushViewport(viewport())
+grid.rect(gp=gpar(fill="grey"))
+HersheyLabel("push mask
+push again (inherit mask)
+rect
+grey circle")
+
+## Restoring masks (between viewports)
+grid.newpage()
+pushViewport(viewport(mask=circleGrob(gp=gpar(fill="black"))))
+pushViewport(viewport())
+pushViewport(viewport())
+upViewport()
+grid.rect(gp=gpar(fill="grey"))
+HersheyLabel("push mask
+push again (inherit mask)
+push again (inherit mask)
+up (restore inherited mask)
+rect
+grey circle")
+
+## Revisiting mask on a viewport
+## upViewport()
+grid.newpage()
+pushViewport(viewport(mask=circleGrob(gp=gpar(fill="black"))))
+grid.rect(gp=gpar(fill="grey"))
+upViewport()
+grid.rect(gp=gpar(fill=rgb(0,0,1,.2)))
+HersheyLabel("push mask
+grey circle
+upViewport
+page all (translucent) blue")
+
+## downViewport()
+grid.newpage()
+pushViewport(viewport(mask=circleGrob(gp=gpar(fill="black")), name="vp"))
+grid.rect(height=.5, gp=gpar(fill="grey"))
+upViewport()
+downViewport("vp")
+grid.rect(gp=gpar(fill=rgb(0,0,1,.2)))
+HersheyLabel("push mask
+rounded rect
+upViewport
+downViewport
+blue (translucent) circle")
+
+######################################
+## Replaying the graphics display list
+
+## Resizing device
+grid.newpage()
+pushViewport(viewport(mask=circleGrob(gp=gpar(fill="black"))))
+grid.rect(gp=gpar(fill="grey"))
+HersheyLabel("push mask
+rect
+grey circle
+(for resizing)")
+
+## Record and replay
+grid.newpage()
+pushViewport(viewport(mask=circleGrob(gp=gpar(fill="black"))))
+grid.rect(gp=gpar(fill="grey"))
+x <- recordPlot()
+HersheyLabel("push mask
+rect
+grey circle
+(for recording)")
+print(x)
+HersheyLabel("push mask
+rect
+record plot
+replay plot
+grey circle")
+
+######################################
+## Test of 'grid' display list
+
+## Grabbing a grob with mask
+## (replaying the 'grid' display list)
+grid.newpage()
+pushViewport(viewport(mask=circleGrob(gp=gpar(fill="black"))))
+grid.rect(gp=gpar(fill="grey"))
+x <- grid.grab()
+HersheyLabel("push mask
+rect
+grey circle
+(for grid.grab)")
+grid.newpage()
+grid.draw(x)
+HersheyLabel("push mask
+rect
+grey circle
+grid.grab
+grid.draw
+grey circle")
+
+## A mask from two grobs, with ONE grob making use of a mask
+grid.newpage()
+mask <- gTree(children=gList(rectGrob(x=.25, width=.3, height=.8,
+                                      gp=gpar(fill="black"),
+                                      vp=viewport(mask=circleGrob(r=.4,
+                                                                  gp=gpar(fill="black")))),
+                             rectGrob(x=.75, width=.3, height=.8,
+                                      gp=gpar(fill="black"))))
+pushViewport(viewport(mask=mask))
+grid.rect(gp=gpar(fill="grey"))
+popViewport()
+HersheyLabel("mask is two grobs, ONE with its own (circle) mask
+push mask
+rect
+result is one slice of circle and one rectangle")
+
+## A mask within a makeContent() method
+grid.newpage()
+g <- gTree(cl="test")
+makeContent.test <- function(x) {
+    setChildren(x, gList(rectGrob(gp=gpar(fill="grey"),
+                                  vp=viewport(mask=circleGrob(gp=gpar(fill="black"))))))
+}
+grid.draw(g)
+HersheyLabel("custom grob class with makeContent() method
+makeContent() adds rectangle with viewport
+viewport has circle mask
+result is grey circle")
+
+## A mask that makes use of makeContent() method
+grid.newpage()
+mask <- gTree(cl="test")
+makeContent.test <- function(x) {
+    setChildren(x, gList(circleGrob(gp=gpar(fill="black"))))
+}
+pushViewport(viewport(mask=mask))
+grid.rect(gp=gpar(fill="grey"))
+popViewport()
+HersheyLabel("push viewport with mask
+mask is grob with makeContent() method
+makeContent() adds circle
+draw rect
+result is grey circle")
+
+######################
+## Check resource exhaustion
+grid.newpage()
+for (i in 1:65) {
+    pushViewport(viewport(mask=circleGrob(gp=gpar(fill="black"))))
+    grid.rect(gp=gpar(fill="grey"))
+    HersheyLabel(paste0("viewport ", i, " with mask
+result is grey circle"))
+    popViewport()
+}
+
+## Bug from 4.1.0 (mask should NOT be applied to pattern)
+grid.newpage()
+pat <- pattern(circleGrob(r=.1),
+               width=.17, height=.17,
+               extend="repeat")
+mask <- rectGrob(0:1/2, 0:1/2, width=.5, height=.5,
+                 just=c("left", "bottom"),
+                 gp=gpar(fill=rgb(0,0,0,1:2/2)))
+pushViewport(viewport(mask=mask))
+grid.rect(gp=gpar(fill=pat))
+
+## Mask from text
+grid.newpage()
+mask <- textGrob("test", gp=gpar(cex=10))
+pushViewport(viewport(mask=mask))
+grid.rect(width=.5, height=.5, gp=gpar(fill=linearGradient()))
+popViewport()
+HersheyLabel("rect filled with linear gradient
+masked by text", y=.8)
+    
+## Text being masked
+grid.newpage()
+mask <- rectGrob(width=.5, height=.5,
+                 gp=gpar(fill=linearGradient(c("black", "transparent"))))
+grid.segments(gp=gpar(col=2, lwd=50))
+pushViewport(viewport(mask=mask))
+grid.text("test", gp=gpar(cex=10))
+popViewport()
+HersheyLabel("text with mask
+mask is rect with semitransparent linear gradient", y=.8)
+
+## Mask from raster
+grid.newpage()
+mask <- rasterGrob(matrix(rgb(0,0,0,1:3/4), nrow=1), interpolate=FALSE)
+grid.segments(gp=gpar(col=2, lwd=100))
+pushViewport(viewport(mask=mask))
+grid.circle(r=.4, gp=gpar(fill="black"))
+popViewport()
+HersheyLabel("circle with mask
+mask is semitransparent raster", y=.8)
+    
+## Raster being masked
+grid.newpage()
+mask <- circleGrob(r=.4, gp=gpar(col=NA, fill=rgb(0,0,0,.5)))
+grid.segments(gp=gpar(col=2, lwd=100))
+pushViewport(viewport(mask=mask))
+grid.raster(matrix(1:3/4, nrow=1), interpolate=FALSE)
+popViewport()
+HersheyLabel("raster with mask
+mask is semitransparent circle", y=.8)
+    
+
+################################################################################
+## Need to test ...
+
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/grid/tests/testls.R
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/grid/tests/testls.R	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/grid/tests/testls.R	(revision 3761)
@@ -0,0 +1,158 @@
+library(grid)
+
+# Test hole in DL (deleted grob)
+grid.lines(name="foo")
+grid.lines(x=1:0, name="foo2")
+grid.ls()
+grid.remove("foo")
+grid.ls()
+# New blank page
+grid.newpage()
+
+
+#######
+# GROBS
+#######
+# Plain grob
+grid.ls(grob(name="g1"))
+# gList
+grid.ls(gList(grob(name="gl1"), grob(name="gl2")))
+# gTree
+grid.ls(gTree(children=gList(grob(name="child")),
+              name="parent"))
+grid.ls(gTree(children=gList(grob(name="child1"), grob(name="child1")),
+              name="parent"))
+
+###########
+# VIEWPORTS
+###########
+# Plain viewport
+grid.ls(viewport(name="vp1"),
+        view=TRUE)
+# vpList
+grid.ls(vpList(viewport(name="vpl1")),
+        view=TRUE)
+grid.ls(vpList(viewport(name="vpl1"), viewport(name="vpl2")),
+        view=TRUE)
+grid.ls(vpList(viewport(name="vpl1"), viewport(name="vpl2"),
+               viewport(name="vpl3")),
+        view=TRUE)
+# vpStack
+grid.ls(vpStack(viewport(name="vps1"), viewport(name="vps2")),
+        view=TRUE)
+grid.ls(vpStack(viewport(name="vps1"), viewport(name="vps2"),
+                viewport(name="vps3")),
+        view=TRUE)
+# vpTrees
+grid.ls(vpTree(viewport(name="parentvp"), vpList(viewport(name="childvp"))),
+        view=TRUE)
+grid.ls(vpTree(viewport(name="parentvp"),
+               vpList(viewport(name="cvp1"), viewport(name="cvp2"))),
+        view=TRUE)
+# vpPaths
+grid.ls(vpPath("A"),
+        view=TRUE)
+grid.ls(vpPath("A", "B"),
+        view=TRUE)
+grid.ls(vpPath("A", "B", "C"),
+        view=TRUE)
+
+##########
+# MIXTURES
+##########
+# grob with vp viewport
+g1 <- grob(vp=viewport(name="gvp"), name="g1")
+grid.ls(g1, view=TRUE, full=TRUE)
+grid.ls(g1, view=TRUE, full=TRUE, grob=FALSE)
+# grob with vp vpList
+grid.ls(grob(vp=vpList(viewport(name="vpl")), name="g1"),
+        view=TRUE, full=TRUE)
+grid.ls(grob(vp=vpList(viewport(name="vpl1"), viewport(name="vpl2")),
+             name="g1"),
+        view=TRUE, full=TRUE)
+# grob with vp vpStack
+grid.ls(grob(vp=vpStack(viewport(name="vps1"), viewport(name="vps2")),
+             name="g1"),
+        view=TRUE, full=TRUE)
+grid.ls(grob(vp=vpStack(viewport(name="vps1"), viewport(name="vps2"),
+               viewport(name="vps3")),
+             name="g1"),
+        view=TRUE)
+# grob with vp vpTree
+grid.ls(grob(vp=vpTree(viewport(name="parentvp"),
+               vpList(viewport(name="cvp"))),
+             name="g1"),
+        view=TRUE, full=TRUE)
+grid.ls(grob(vp=vpTree(viewport(name="parentvp"),
+               vpList(viewport(name="cvp1"), viewport(name="cvp2"))),
+             name="g1"),
+        view=TRUE, full=TRUE)
+# gTree with vp viewport
+# and child grob with vp viewport
+grid.ls(gTree(children=gList(grob(vp=viewport(name="childvp"), name="cg1"),
+                grob(name="cg2")),
+              name="parent",
+              vp=viewport(name="parentvp")),
+        view=TRUE)
+# gTree with childrenvp viewport
+grid.ls(gTree(childrenvp=viewport(name="vp"), name="gtree"),
+        view=TRUE, full=TRUE)
+grid.ls(gTree(childrenvp=viewport(name="vp"), name="gtree"),
+        view=TRUE, full=TRUE, grob=FALSE)
+grid.ls(gTree(children=gList(grob(name="child")),
+              name="parent",
+              childrenvp=viewport(name="vp")),
+        view=TRUE, full=TRUE)
+grid.ls(gTree(children=gList(grob(name="child1"), grob(name="child2")),
+              name="parent",
+              childrenvp=viewport(name="vp")),
+        view=TRUE, full=TRUE)
+grid.ls(gTree(children=gList(grob(name="child")),
+              childrenvp=viewport(name="vp"),
+              name="parent"), 
+        view=TRUE, full=TRUE)
+grid.ls(gTree(children=gList(grob(name="child1"), grob(name="child2")),
+              name="parent",
+              childrenvp=viewport(name="vp")),
+        view=TRUE, full=TRUE, grob=FALSE)
+# gTree with childrenvp vpTree
+grid.ls(gTree(childrenvp=vpTree(parent=viewport(name="vp1"),
+                children=vpList(viewport(name="vp2"))),
+              name="gtree"),
+        view=TRUE, full=TRUE)
+grid.ls(gTree(children=gList(grob(name="child")),
+              name="parent",
+              childrenvp=vpTree(parent=viewport(name="vp1"),
+                children=vpList(viewport(name="vp2")))),
+        view=TRUE, full=TRUE)
+# gTree with childrenvp vpTree
+# and child grob with vp vpPath
+# A gTree, called "parent", with childrenvp vpTree (vp2 within vp1)
+# and child grob, called "child", with vp vpPath (down to vp2)
+sampleGTree <- gTree(name="parent",
+                     children=gList(grob(name="child", vp="vp1::vp2")),
+                     childrenvp=vpTree(parent=viewport(name="vp1"),
+                                       children=vpList(viewport(name="vp2"))))
+grid.ls(sampleGTree)
+# Show viewports too
+grid.ls(sampleGTree, view=TRUE)
+# Only show viewports
+grid.ls(sampleGTree, view=TRUE, grob=FALSE)
+# Alternate displays
+# nested listing, custom indent
+grid.ls(sampleGTree, view=TRUE, print=nestedListing, gindent="--")
+# path listing
+grid.ls(sampleGTree, view=TRUE, print=pathListing)
+# path listing, without grobs aligned
+grid.ls(sampleGTree, view=TRUE, print=pathListing, gAlign=FALSE)
+# grob path listing 
+grid.ls(sampleGTree, view=TRUE, print=grobPathListing)
+# path listing, grobs only
+grid.ls(sampleGTree, print=pathListing)
+# path listing, viewports only
+grid.ls(sampleGTree, view=TRUE, grob=FALSE, print=pathListing)
+# raw flat listing
+str(grid.ls(sampleGTree, view=TRUE, print=FALSE))
+
+
+
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/grid/tests/groups.R
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/grid/tests/groups.R	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/grid/tests/groups.R	(revision 3761)
@@ -0,0 +1,514 @@
+
+library(grid)
+
+HersheyLabel <- function(x, y=unit(.5, "npc")) {
+    lines <- strsplit(x, "\n")[[1]]
+    if (!is.unit(y))
+        y <- unit(y, "npc")
+    n <- length(lines)
+    if (n > 1) {
+        y <- y + unit(rev(seq(n)) - mean(seq(n)), "lines")
+    }
+    grid.text(lines, y=y, gp=gpar(fontfamily="HersheySans"))
+}
+
+################################################################################
+## Basic sanity checks
+
+## Simple group grob (same as a normal grob)
+grid.newpage()
+grid.group(rectGrob(width=.5, height=.5, gp=gpar(fill="grey")))
+HersheyLabel("Group = single rect
+half-width, half-height, grey fill
+same as normal rect")
+
+
+################################################################################
+## Compositing operators
+
+source("compositing.R")
+
+
+################################################################################
+## Isolated groups
+
+## Apply mask to isolated group
+grid.newpage()
+pushViewport(viewport(layout=grid.layout(2, 2)))
+pushViewport(viewport(layout.pos.row=1, layout.pos.col=1))
+grid.rect(height=.5, gp=gpar(fill="red"))
+grid.rect(width=.5, gp=gpar(fill="blue"))
+HersheyLabel("no mask
+each shape composite over")
+popViewport()
+pushViewport(viewport(layout.pos.row=1, layout.pos.col=2),
+             viewport(mask=circleGrob(gp=gpar(col=NA, fill=rgb(0,0,0,.5)))))
+grid.rect(height=.5, gp=gpar(fill="red"))
+grid.rect(width=.5, gp=gpar(fill="blue"))
+popViewport()
+HersheyLabel("mask
+each shape masked then composite over")
+popViewport()
+pushViewport(viewport(layout.pos.row=2, layout.pos.col=1),
+             viewport(mask=circleGrob(gp=gpar(col=NA, fill=rgb(0,0,0,.5)))))
+grid.group(rectGrob(width=.5, gp=gpar(fill="blue")),
+               "over",
+               rectGrob(height=.5, gp=gpar(fill="red")))
+popViewport()
+HersheyLabel("mask and group
+each shape composite over in group
+group masked")
+popViewport()
+
+
+## Grobs that draw more than one shape
+## Circle of small circles, draw over and then compose with alpha mask
+grid.newpage()
+t <- seq(30, 360, 30)
+x <- .5 + .3*cos(pi*t/180)
+y <- .5 + .3*sin(pi*t/180)
+circles <- circleGrob(x, y, r=.1, gp=gpar(fill="black"))
+pushViewport(viewport(layout=grid.layout(2, 2)))
+pushViewport(viewport(layout.pos.row=1, layout.pos.col=1))
+grid.draw(circles)
+HersheyLabel("circle grob")
+popViewport()
+pushViewport(viewport(layout.pos.row=1, layout.pos.col=2,
+                      mask=rectGrob(gp=gpar(col=NA, fill=rgb(0,0,0,.5)))))
+grid.draw(circles)
+HersheyLabel("masked
+circle grob")
+popViewport()
+pushViewport(viewport(layout.pos.row=2, layout.pos.col=1))
+grid.group(circles)
+HersheyLabel("group
+circle grob")
+popViewport()
+pushViewport(viewport(layout.pos.row=2, layout.pos.col=2,
+                      mask=rectGrob(gp=gpar(col=NA, fill=rgb(0,0,0,.5)))))
+grid.group(circles)
+HersheyLabel("masked
+group
+circle grob")
+popViewport()
+
+
+################################################################################
+## Inheritance of graphics settings
+
+## Compositing groups inherit graphics settings from "parent"
+grid.newpage()
+pushViewport(viewport(gp=gpar(fill="pink")))
+grid.rect(x=1/4, width=1/2)
+grid.group(rectGrob(x=3/4, width=1/2))
+HersheyLabel("group inherits current gpar
+(right rect pink)")
+popViewport()
+
+## Watch out for alpha level accumulating
+grid.newpage()
+pushViewport(viewport(gp=gpar(fill=rgb(1,0,0,.5))))
+grid.rect(x=1/4, width=1/2)
+grid.group(rectGrob(x=3/4, width=1/2))
+HersheyLabel("group inherits current gpar
+(right rect trans red)
+test with alpha")
+popViewport()
+
+
+################################################################################
+## gTrees
+
+## The trick here is that the rectangle is drawn within a viewport,
+## which means that there is an upViewport() within the drawing
+## of the group, which means 'grid' has to have guards against that
+## upViewport() resetting any mask that is in effect outside the group.
+##
+## This is a proxy for drawing complex things like 'ggplot2' plot gTrees
+## within a group (which also works, I just cannot make it a test within
+## the 'grid' package).
+grid.newpage()
+gt <- gTree(children=gList(rectGrob(vp=viewport()),
+                           circleGrob(1:2/3, r=.3, gp=gpar(fill="black"))))
+pushViewport(viewport(mask=rectGrob(gp=gpar(col=NA, fill=rgb(0,0,0,.5)))))
+grid.group(gt)
+HersheyLabel("group is gTree with child with vp
+group drawn with mask", y=.9)
+HersheyLabel("mask NOT reset within group definition
+(circles NOT masked within group)", y=.1)
+popViewport()
+
+
+################################################################################
+## Reuse
+
+## Use group in smaller viewport (translate and scale)
+grid.newpage()
+grid.group(rectGrob(width=unit(1, "in"), height=unit(1, "in"),
+                     gp=gpar(fill="grey")),
+            name="rectGroup")
+HersheyLabel("draw named group", y=.75)
+pushViewport(viewport(x=.75, y=.25, width=.5, height=.5))
+grid.rect(gp=gpar(fill=NA, lty="dashed"))
+grid.use("rectGroup")
+HersheyLabel("reuse group
+(in smaller viewport)
+shrunk AND thinner border", y=.25)
+popViewport()
+
+## Just translate
+grid.newpage()
+grid.define(rectGrob(width=unit(1, "in"), height=unit(1, "in"),
+                     gp=gpar(fill="grey")),
+            name="rectGroup")
+grid.use("rectGroup")
+HersheyLabel("draw named group", y=.75)
+pushViewport(viewport(x=.75, y=.25, width=.5, height=.5))
+grid.rect(gp=gpar(fill=NA, lty="dashed"))
+grid.use("rectGroup", viewportTranslate)
+HersheyLabel("reuse group
+just with translate transform
+(in smaller viewport)
+just shifted", y=.25)
+popViewport()
+
+## Just scale
+grid.newpage()
+grid.define(rectGrob(width=unit(1, "in"), height=unit(1, "in"),
+                     gp=gpar(fill="grey")),
+            name="rectGroup")
+grid.use("rectGroup")
+HersheyLabel("draw named group", y=.75)
+pushViewport(viewport(x=.75, y=.25, width=.5, height=.5))
+grid.rect(gp=gpar(fill=NA, lty="dashed"))
+grid.use("rectGroup", viewportScale)
+HersheyLabel("reuse group
+just with scale transform
+(in smaller viewport)
+just scaled", y=.25)
+popViewport()
+
+## Just translate BUT viewport x/y is NOT "centre"
+grid.newpage()
+grid.define(rectGrob(width=unit(1, "in"), height=unit(1, "in"),
+                     gp=gpar(fill="grey")),
+            name="rectGroup")
+grid.use("rectGroup")
+HersheyLabel("draw named group", y=.75)
+pushViewport(viewport(x=1, y=0, width=.5, height=.5, just=c("right", "bottom")))
+grid.rect(gp=gpar(fill=NA, lty="dashed"))
+grid.use("rectGroup", viewportTranslate)
+HersheyLabel("reuse group
+just with translate transform
+with vp x/y at bottom-right
+(in smaller viewport)
+shifted to new vp x/y", y=.25)
+popViewport()
+
+## Just scale (which ignores the fact that x/y is NOT "centre")
+grid.newpage()
+grid.define(rectGrob(width=unit(1, "in"), height=unit(1, "in"),
+                     gp=gpar(fill="grey")),
+            name="rectGroup")
+grid.use("rectGroup")
+HersheyLabel("draw named group", y=.75)
+pushViewport(viewport(x=1, y=0, width=.5, height=.5, just=c("right", "bottom")))
+grid.rect(gp=gpar(fill=NA, lty="dashed"))
+grid.use("rectGroup", viewportScale)
+HersheyLabel("reuse group
+just with scale transform
+with vp x/y at bottom-right
+(in smaller viewport)
+just scaled
+(new vp x/y ignored)", y=.25)
+popViewport()
+
+## Rotation
+grid.newpage()
+grid.define(rectGrob(width=unit(1, "in"), height=unit(1, "in"),
+                     gp=gpar(fill="grey")),
+            name="rectGroup")
+grid.use("rectGroup")
+pushViewport(viewport(angle=15))
+grid.rect(gp=gpar(lty="dashed", fill=NA))
+grid.use("rectGroup")
+popViewport()
+HersheyLabel("reuse group
+rotated viewport
+rotated group", y=.25)
+
+## Shear 
+grid.newpage()
+grid.define(rectGrob(width=unit(1, "in"), height=unit(1, "in"),
+                     gp=gpar(fill="grey")),
+            name="rectGroup")
+grid.use("rectGroup")
+trans <- function(group, ...) {
+    viewportTransform(group, shear=groupShear(.5, 0))
+}
+grid.use("rectGroup", transform=trans)
+HersheyLabel("reuse group
+shear (skewX) transform
+sheared group", y=.25)
+
+grid.newpage()
+grid.define(rectGrob(width=unit(1, "in"), height=unit(1, "in"),
+                     gp=gpar(fill="grey")),
+            name="rectGroup")
+grid.use("rectGroup")
+trans <- function(group, ...) {
+    viewportTransform(group, shear=groupShear(0, .5))
+}
+grid.use("rectGroup", transform=trans)
+HersheyLabel("reuse group
+shear (skewY) transform
+sheared group", y=.25)
+
+grid.newpage()
+pushViewport(viewport(gp=gpar(col=2)))
+grid.define(circleGrob(r=.1), name="c", gp=gpar(lwd=5))
+grid.use("c")
+pushViewport(viewport(x=.25, gp=gpar(col="green")))
+grid.use("c")
+popViewport()
+pushViewport(viewport(x=.75, gp=gpar(col="blue")))
+grid.use("c")
+popViewport()
+popViewport()
+HersheyLabel("define circle (no colour)
+(red from viewport)
+left viewport sets green
+(circle stays red)
+right viewport sets blue
+(cirlce stays red)", y=.25)
+
+grid.newpage()
+grid.define(rectGrob(gp=gpar(col=NA, fill=radialGradient())),
+            name="gradient")
+grid.use("gradient")
+pushViewport(viewport(y=.1, height=.2))
+grid.rect(gp=gpar(lty="dashed", fill=NA))
+grid.use("gradient")
+popViewport()
+HersheyLabel("group with gradient fill
+reused in viewport with different scale
+distorted gradient", y=.9)
+
+################################################################################
+## Combinations (masks in groups, groups in groups, ...)
+
+## Text in group
+grid.newpage()
+group <- gTree(children=gList(rectGrob(width=.8, height=.5),
+                              textGrob("testing", gp=gpar(cex=3))))
+grid.group(group)
+HersheyLabel("group with text", y=.8)
+    
+## Pattern in group
+grid.newpage()
+grid.group(rectGrob(width=.8, height=.5, gp=gpar(fill=linearGradient())))
+HersheyLabel("group with gradient fill", y=.8)
+
+## Clipping path in group
+grid.newpage()
+vp <- viewport(clip=circleGrob())
+grid.group(rectGrob(gp=gpar(fill="grey")), vp=vp)
+HersheyLabel("group with vp
+vp is viewport with clipping path
+result is grey circle")
+
+grid.newpage()
+vp <- viewport(clip=circleGrob())
+grid.group(rectGrob(gp=gpar(fill="grey"), vp=vp))
+HersheyLabel("group with grob with vp
+vp is viewport with clipping path
+result is grey circle")
+           
+## Mask in group
+grid.newpage()
+vp <- viewport(mask=circleGrob(gp=gpar(fill="black")))
+grid.group(rectGrob(gp=gpar(fill="grey")), vp=vp)
+HersheyLabel("group with vp
+vp is viewport with mask
+result is grey circle")
+
+grid.newpage()
+vp <- viewport(mask=circleGrob(gp=gpar(fill="black")))
+grid.group(rectGrob(gp=gpar(fill="grey"), vp=vp))
+HersheyLabel("group with grob with vp
+vp is viewport with mask
+result is grey circle")
+    
+## Path in group
+grid.newpage()
+grid.group(fillGrob(circleGrob(1:2/3, r=.3), gp=gpar(fill="grey")))
+HersheyLabel("group with (filled) path")
+    
+## Group in group
+grid.newpage()
+gt <- gTree(children=gList(rectGrob(width=.5, gp=gpar(fill=rgb(1,0,0,.5))),
+                           groupGrob(rectGrob(height=.5,
+                                              gp=gpar(fill=rgb(0,0,1,.5))))))
+grid.group(gt)
+HersheyLabel("group containing group
+both groups semitransparent
+see overlap between groups")
+
+grid.newpage()
+rects <- gTree(children=gList(rectGrob(width=unit(5, "mm"),
+                                       height=unit(5, "mm"),
+                                       just=c("left", "bottom"),
+                                       gp=gpar(fill="black")),
+                              rectGrob(width=unit(5, "mm"),
+                                       height=unit(5, "mm"),
+                                       just=c("right", "top"),
+                                       gp=gpar(fill="black"))))
+pat <- pattern(rects,
+               width=unit(1, "cm"), height=unit(1, "cm"),
+               extend="repeat")
+grid.rect(gp=gpar(fill=pat))
+gt1 <- gTree(children=gList(rectGrob(width=.5, gp=gpar(fill=2)),
+                            rectGrob(height=.5, gp=gpar(fill=4))))
+vp <- viewport(mask=rectGrob(gp=gpar(col=NA, fill=rgb(0,0,0,.7))))
+g1 <- groupGrob(gt1, vp=vp)
+gt2 <- gTree(children=gList(g1, segmentsGrob(gp=gpar(lwd=100))))
+g2 <- groupGrob(gt2, vp=vp)
+grid.draw(g2)
+grid.rect(width=.8, height=.4, gp=gpar(col=NA, fill=rgb(1,1,1,.7)))
+HersheyLabel("group containing group
+inner group overlapping rects
+inner group drawn with semitransparent mask
+(see through blue rect - no overlap visible)
+outer group thick black line
+outer group drawn with semitransparent mask
+(see through black line - no overlap visible)
+[white rect just background for this label]")
+
+## Group used with transform in group used with transform
+grid.newpage()
+vp1 <- viewport(x=.3, y=.2, width=.3, height=.3)
+vp2 <- viewport(x=.5, y=.6, width=.1, height=.3)
+vp3 <- viewport(x=.7, y=.2, width=.3, height=.3)
+pushViewport(vp1)
+grid.rect(gp=gpar(col="grey"))
+grid.define(polygonGrob(c(.2, .5, .8), c(.2, .8, .2),
+                        gp=gpar(lwd=10, col=2, fill=3)),
+            name="p")
+grid.use("p")
+popViewport()
+pushViewport(vp2)
+grid.rect(gp=gpar(col="grey"))
+grid.use("p")
+grid.define(useGrob("p"), name="g")
+popViewport()
+pushViewport(vp3)
+grid.rect(gp=gpar(col="grey"))
+grid.use("g")
+popViewport()
+HersheyLabel("bottom left is group-1 definition
+top is reuse of group-1 with horiz squash
+top is also group-2 definition
+bottom right is reuse of group-2 with horiz stretch", y=.9)
+
+grid.newpage()
+vp1 <- viewport(x=.2, y=.2, width=.3, height=.3)
+vp2 <- viewport(x=.3, y=.5, width=.1, height=.2, angle=-30)
+vp3 <- viewport(x=.7, y=.7, width=.5, height=.5)
+pushViewport(vp1)
+grid.rect(gp=gpar(col="grey"))
+grid.define(polygonGrob(c(.2, .5, .8), c(.2, .8, .2),
+                        gp=gpar(lwd=10, col=2, fill=3)),
+            name="r")
+grid.use("r")
+popViewport()
+pushViewport(vp2)
+grid.rect(gp=gpar(lty="dotted"))
+popViewport()
+g <- useGrob("r", vp=vp2)
+grid.draw(g)
+pushViewport(vp3)
+grid.rect()
+pushViewport(vp1)
+grid.rect(gp=gpar(col="grey"))
+popViewport()
+pushViewport(vp2)
+grid.rect(gp=gpar(lty="dotted"))
+popViewport()
+grid.define(g, name="g")
+grid.use("g")
+popViewport()
+pushViewport(viewport(.7, .2, width=.5, height=.3))
+grid.rect()
+grid.use("g")
+popViewport()
+HersheyLabel("bottom-left is group-1 definition
+group-1 reused with horiz. stretch and rotation
+top-right is group-2 definition (based on group-1)
+bottom-right is group-2 reused with vert. squash", y=.85)
+
+## Raster in group
+grid.newpage()
+group <- gTree(children=gList(rectGrob(width=.8, height=.5),
+                              rasterGrob(matrix(c(0:1, 1:0), nrow=2),
+                                         width=.2, height=.2,
+                                         interpolate=FALSE)))
+grid.group(group)
+HersheyLabel("group with raster", y=.8)
+    
+## Group with rect with gradient fill
+grid.newpage()
+grid.group(rectGrob(width=.5, height=.5,
+                    gp=gpar(fill=linearGradient())))
+HersheyLabel("group based on rect
+rect has linear gradient", y=.1)
+
+## Group with gradient fill
+grid.newpage()
+grid.group(rectGrob(width=.5, height=.5),
+           gp=gpar(fill=linearGradient()))
+HersheyLabel("group based on rect
+GROUP has linear gradient", y=.1)
+
+## Group with multiple shapes with gradient fill
+grid.newpage()
+grid.group(gTree(children=gList(rectGrob(.25, .25, .5, .5),
+                                rectGrob(.75, .75, .5, .5))),
+           gp=gpar(fill=linearGradient()))
+HersheyLabel("group based on two rects
+GROUP has linear gradient", y=.1)
+
+## Subtler problem (need fill captured on definition)
+grid.newpage()
+grid.define(rectGrob(width=.5, height=.5),
+            gp=gpar(fill=linearGradient()), name="g")
+grid.use("g")
+HersheyLabel("group based on rect
+GROUP has linear gradient
+group defined then used", y=.1)
+
+## Group points/coords include src and dst even if they are not drawn
+## (so linear gradient starts at bottom left of page NOT at centre of page)
+grid.newpage()
+grid.group(circleGrob(.25, .25, .5, gp=gpar(fill="black")),
+           "clear",
+           rectGrob(.75, .75, .5, .5),
+           gp=gpar(fill=linearGradient()))
+HersheyLabel("group based on circle and rect
+circle clears rect
+GROUP has linear gradient
+gradient extent is rect AND circle extent", y=.3)
+
+## Group with shapes that do NOT start at bottom-left
+grid.newpage()
+grid.group(circleGrob(3:4/5, 3:4/5, r=.1),
+           gp=gpar(fill=linearGradient()))
+HersheyLabel("group based on circles
+GROUP has linear gradient
+gradient extent is circle extent", y=.3)
+
+################################################################################
+
+TODO <- function() {
+
+    
+}
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/grid/tests/paths.R
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/grid/tests/paths.R	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/grid/tests/paths.R	(revision 3761)
@@ -0,0 +1,222 @@
+
+library(grid)
+
+HersheyLabel <- function(x, y=unit(.5, "npc")) {
+    lines <- strsplit(x, "\n")[[1]]
+    if (!is.unit(y))
+        y <- unit(y, "npc")
+    n <- length(lines)
+    if (n > 1) {
+        y <- y + unit(rev(seq(n)) - mean(seq(n)), "lines")
+    }
+    grid.text(lines, y=y, gp=gpar(fontfamily="HersheySans"))
+}
+
+################################################################################
+## Paths that produce same result as normal drawing
+
+grid.newpage()
+grid.stroke(circleGrob())
+HersheyLabel("Single circle stroked
+same as normal drawing")
+
+grid.newpage()
+grid.stroke(circleGrob(1:2/3, r=.3))
+HersheyLabel("Two overlapping circles stroked
+same as normal drawing")
+
+grid.newpage()
+grid.stroke(circleGrob(1:2/3, r=.1))
+HersheyLabel("Two distinct circles stroked
+same as normal drawing")
+
+grid.newpage()
+grid.fillStroke(circleGrob(1:2/3, r=.3), gp=gpar(col=NA, fill="grey"))
+HersheyLabel("Two overlapping circles filled ONLY
+non-zero winding rule
+same as normal drawing")
+
+grid.newpage()
+grid.fillStroke(circleGrob(1:2/3, r=.3), gp=gpar(fill="grey"))
+HersheyLabel("Two overlapping circles filled and stroked
+non-zero winding rule
+same as normal drawing")
+
+grid.newpage()
+grid.fillStroke(circleGrob(r=c(.1, .3)), gp=gpar(fill="grey"))
+HersheyLabel("Two nested circles stroked and filled
+non-zero winding rule
+same as normal drawing")
+
+################################################################################
+## Paths that produce DIFFERENT result compared to normal drawing
+
+grid.newpage()
+grid.stroke(circleGrob(gp=gpar(fill="grey")))
+HersheyLabel("Filled circle stroked
+NO fill!")
+
+grid.newpage()
+grid.fill(circleGrob(1:2/3, r=.3), gp=gpar(fill="grey"))
+HersheyLabel("Two overlapping circles filled
+non-zero winding rule
+NO stroke!")
+
+grid.newpage()
+grid.segments(gp=gpar(lwd=10, col=4))
+grid.fill(circleGrob(1:2/3, r=.3), gp=gpar(fill=rgb(1,0,0,.5)))
+HersheyLabel("Two overlapping circles filled
+non-zero winding rule
+semitransparent fill
+NO overlap!")
+
+grid.newpage()
+grid.fill(circleGrob(1:2/3, r=.3), gp=gpar(fill="grey"), rule="evenodd")
+HersheyLabel("Two overlapping circles filled
+even-odd rule
+get a HOLE!")
+
+grid.newpage()
+grid.fillStroke(circleGrob(1:2/3, r=.3), gp=gpar(fill="grey"), rule="evenodd")
+HersheyLabel("Two overlapping circles stroked and filled
+even-odd rule
+get a HOLE!")
+
+grid.newpage()
+grid.fillStroke(circleGrob(r=c(.1, .3)), gp=gpar(fill="grey"), rule="evenodd")
+HersheyLabel("Two nested circles stroked and filled
+even-odd rule
+get a HOLE!")
+
+grid.newpage()
+grid.fillStroke(polylineGrob(c(.2, .5, .8), c(.2, .8, .2)),
+                gp=gpar(lwd=5, fill="grey"))
+HersheyLabel("Polyline (open)
+stroked and filled
+get filled region
+(even though not closed)")
+   
+grid.newpage()
+pushViewport(viewport(clip=as.path(circleGrob(r=c(.3, .1)), rule="evenodd")))
+grid.rect(gp=gpar(fill="grey"))
+HersheyLabel("Clipping path is nested circles
+even-odd rule
+clip filled rect
+get donut", y=.7)
+
+grid.newpage()
+grid.stroke(textGrob("testing", gp=gpar(fontface="bold", cex=4)))
+HersheyLabel("Path based on text
+stroke produces glyph outlines", y=.8)
+
+grid.newpage()
+gt <- gTree(children=gList(circleGrob(),
+                           textGrob("testing", gp=gpar(fontface="bold", cex=4)),
+                           rectGrob(width=.8, height=.5)))
+grid.fillStroke(gt, gp=gpar(fill="grey"), rule="evenodd")
+HersheyLabel("Path based on circle and text and rect
+stroked and filled with even-odd rule
+all outlines and glyphs stroked and
+glyphs filled and
+space between circle and rect filled
+(PDF will NOT draw text)", y=.85)
+
+grid.newpage()
+gt <- gTree(children=gList(textGrob("testing", gp=gpar(fontface="bold", cex=4)),
+                           circleGrob(),
+                           rectGrob(width=.8, height=.5)))
+grid.fillStroke(gt, gp=gpar(fill="grey"), rule="evenodd")
+HersheyLabel("Path based on text and circle and rect
+stroked and filled with even-odd rule
+all outlines and glyphs stroked and
+glyphs filled and
+space between circle and rect filled
+(PDF will ONLY draw text)", y=.85)
+
+grid.newpage()
+grid.fill(pathGrob(c(.2, .2, .8, .8, .4, .4, .6, .6),
+                   c(.2, .8, .8, .2, .4, .6, .6, .4),
+                   id.lengths=c(4, 4),
+                   rule="winding"),
+          gp=gpar(fill="grey"))
+HersheyLabel("Path based on pathGrob
+same fill rule for both (winding)
+no hole")
+
+grid.newpage()
+grid.fill(pathGrob(c(.2, .2, .8, .8, .4, .4, .6, .6),
+                   c(.2, .8, .8, .2, .4, .6, .6, .4),
+                   id.lengths=c(4, 4),
+                   rule="winding"),
+          rule="evenodd",
+          gp=gpar(fill="grey"))
+HersheyLabel("Path based on pathGrob
+DIFFERENT fill rules
+(grobPath has winding but path has even-odd)
+get a hole!")
+
+## Gradient in path
+grid.newpage()
+grad <- linearGradient(y1=.5, y2=.5)
+grid.fill(circleGrob(1:2/3, r=.1), gp=gpar(fill=grad))
+HersheyLabel("path (two circles) with gradient fill
+gradient relative to circle bounds
+(black at left to white at right)", y=.8)
+
+## Pattern in path
+grid.newpage()
+rects <- gTree(children=gList(rectGrob(width=unit(5, "mm"),
+                                       height=unit(5, "mm"),
+                                       just=c("left", "bottom"),
+                                       gp=gpar(fill="black")),
+                              rectGrob(width=unit(5, "mm"),
+                                       height=unit(5, "mm"),
+                                       just=c("right", "top"),
+                                       gp=gpar(fill="black"))))
+checkerBoard <- pattern(rects,
+                        width=unit(1, "cm"), height=unit(1, "cm"),
+                        extend="repeat")
+grid.fill(circleGrob(1:2/3, r=.1), gp=gpar(fill=checkerBoard))
+HersheyLabel("path (two circles) with pattern fill", y=.8)
+    
+## Path that is clipped
+grid.newpage()
+pushViewport(viewport(clip=circleGrob(r=.2)))
+grid.fill(circleGrob(1:2/3, r=.1), gp=gpar(fill="grey"))
+popViewport()
+HersheyLabel("filled path (two circles)
+clipped by circle path
+result is two half-moons", .8)
+    
+## path that is masked
+grid.newpage()
+pushViewport(viewport(mask=circleGrob(r=.2, gp=gpar(fill="black"))))
+grid.fill(circleGrob(1:2/3, r=.1), gp=gpar(fill="grey"))
+popViewport()
+HersheyLabel("filled path (two circles)
+masked by filled circle 
+result is two half-moons", .8)
+
+## raster-based pattern in path
+grid.newpage()
+checkerBoard <- pattern(rasterGrob(matrix(c(0:1, 1:0), nrow=2),
+                                          width=.2, height=.2,
+                                          interpolate=FALSE),
+                        width=.2, height=.2,
+                        extend="repeat")
+grid.fill(circleGrob(1:2/3, r=.1), gp=gpar(fill=checkerBoard))
+HersheyLabel("path (two circles) with pattern fill
+pattern is (repeated) raster
+(pattern size/shape relative to circle bbox)", y=.8)
+    
+
+
+
+################################################################################
+## TODO
+
+notrun <- function() {
+
+## UTF8 text in path
+    
+} ## notrun()
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/grid/tests/bugs.R
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/grid/tests/bugs.R	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/grid/tests/bugs.R	(revision 3761)
@@ -0,0 +1,30 @@
+library(grid)
+
+# Physical units in viewport of height 0
+pushViewport(viewport(height = 0))
+stopifnot(is.finite(convertHeight(unit(72, "bigpts"), "inches", valueOnly = TRUE)))
+popViewport()
+
+# The gpar font settings for a grob should affect the grob itself
+stopifnot(round(convertHeight(grobHeight(rectGrob(height=unit(1, "lines"), 
+                                                  gp=gpar(lineheight=2))),
+                              "inches", valueOnly=TRUE) -
+                convertHeight(grobHeight(rectGrob(height=unit(1, "lines"),
+                                                  vp=viewport(
+                                                    gp=gpar(lineheight=2)))),
+                              "inches", valueOnly=TRUE),
+                digits=5) == 0)
+
+# Calculation of size of packed grob with gp which is non-empty
+gf1 <- frameGrob(gp=gpar(fontsize=20))
+gf1 <- packGrob(gf1, textGrob("howdy"))
+gf1 <- packGrob(gf1, rectGrob(), col=1, row=1)
+gf2 <- frameGrob()
+gf2 <- packGrob(gf2, gf1)
+gf2 <- packGrob(gf2, rectGrob(gp=gpar(col="red")), col=1, row=1)
+stopifnot(round(convertWidth(grobWidth(gf1),
+                             "inches", valueOnly=TRUE) -
+                convertWidth(grobWidth(gf2),
+                             "inches", valueOnly=TRUE),
+                digits=5) == 0)
+
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/grid/tests/patterns.R
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/grid/tests/patterns.R	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/grid/tests/patterns.R	(revision 3761)
@@ -0,0 +1,1414 @@
+
+library(grid)
+
+HersheyLabel <- function(x, y=unit(.5, "npc")) {
+    lines <- strsplit(x, "\n")[[1]]
+    if (!is.unit(y))
+        y <- unit(y, "npc")
+    n <- length(lines)
+    if (n > 1) {
+        y <- y + unit(rev(seq(n)) - mean(seq(n)), "lines")
+    }
+    grid.text(lines, y=y, gp=gpar(fontfamily="HersheySans"))
+}
+
+################################################################################
+## Gradients
+
+## Simple linear gradient on grob
+grid.newpage()
+grid.rect(gp=gpar(fill=linearGradient()))
+HersheyLabel("default linear gradient
+black bottom-left to white top-right")
+
+## Test linearGradient() arguments
+grid.newpage()
+grid.rect(gp=gpar(fill=linearGradient(c("red", "yellow", "red"),
+                                      c(0, .5, 1),
+                                      x1=.5, y1=unit(1, "in"), 
+                                      x2=.5, y2=1,
+                                      extend="none")))
+HersheyLabel("vertical linear gradient
+1 inch from bottom
+red-yellow-red")
+
+## Gradient relative to grob
+grid.newpage()
+grid.rect(width=.5, height=.5,
+          gp=gpar(fill=linearGradient()))
+HersheyLabel("gradient on rect
+black bottom-left to white top-right OF RECT")
+
+## Gradient on viewport
+grid.newpage()
+pushViewport(viewport(gp=gpar(fill=linearGradient())))
+grid.rect()
+HersheyLabel("default linear gradient on viewport
+black bottom-left to white top-right")
+
+## Gradient relative to viewport
+grid.newpage()
+pushViewport(viewport(gp=gpar(fill=linearGradient())))
+grid.rect(width=.5, height=.5)
+HersheyLabel("linear gradient on viewport
+viewport whole page
+rect half height/width
+darker grey (not black) bottom-left OF RECT
+lighter grey (not white) top-right OF RECT")
+
+grid.newpage()
+pushViewport(viewport(width=.5, height=.5, gp=gpar(fill=linearGradient())))
+grid.rect()
+HersheyLabel("linear gradient on viewport
+viewport half height/width
+rect whole viewport
+black bottom-left to white top-right OF RECT")
+
+## Inherited gradient on viewport
+## (should be relative to first, larger viewport)
+grid.newpage()
+pushViewport(viewport(gp=gpar(fill=linearGradient())))
+pushViewport(viewport(width=.5, height=.5))
+grid.rect()
+HersheyLabel("gradient on viewport
+viewport whole page
+nested viewport half height/width
+rect whole viewport
+darker grey (not black) bottom-left OF RECT
+lighter grey (not white) top-right OF RECT")
+
+## Restore of gradient (just like any other gpar)
+grid.newpage()
+pushViewport(viewport(gp=gpar(fill=linearGradient())))
+grid.rect(x=.2, width=.2, height=.5)
+pushViewport(viewport(gp=gpar(fill="green")))
+grid.rect(x=.5, width=.2, height=.5)
+popViewport()
+grid.rect(x=.8, width=.2, height=.5)
+HersheyLabel("gradient on viewport
+viewport whole page
+rect left third (gradient from whole page)
+nested viewport whole page
+nested viewport green fill
+rect centre (green)
+pop to first viewport
+rect right third (gradient from whole page)")
+
+## Translucent gradient
+grid.newpage()
+grid.text("Reveal", gp=gpar(fontfamily="HersheySans",
+                            fontface="bold", cex=3))
+grid.rect(gp=gpar(fill=linearGradient(c("white", "transparent"),
+                                      x1=.4, x2=.6, y1=.5, y2=.5)))
+HersheyLabel("gradient from white to transparent
+over text", y=.1)
+
+## Radial gradient
+grid.newpage()
+grid.rect(gp=gpar(fill=radialGradient()))
+HersheyLabel("default radial gradient
+black centre to white radius", y=.1)
+
+## Test radialGradient() arguments
+grid.newpage()
+grid.rect(gp=gpar(fill=radialGradient(c("white", "black"),
+                                      cx1=.8, cy1=.8)))    
+HersheyLabel("radial gradient
+white to black
+start centre top-right")
+
+## Gradient on a gTree
+grid.newpage()
+grid.draw(gTree(children=gList(rectGrob(gp=gpar(fill=linearGradient())))))
+HersheyLabel("gTree with rect child
+gradient on rect
+black bottom-left to white top-right")
+
+grid.newpage()
+grid.draw(gTree(children=gList(rectGrob()), gp=gpar(fill=linearGradient())))
+HersheyLabel("gTree with rect child
+gradient on gTree
+black bottom-left to white top-right")
+
+## Rotated gradient
+grid.newpage()
+pushViewport(viewport(width=.5, height=.5, angle=45,
+                      gp=gpar(fill=linearGradient())))
+grid.rect()
+HersheyLabel("rotated gradient
+black bottom-left to white top-right OF RECT")
+
+######################################
+## Tests of replaying graphics engine display list
+
+## Resize graphics device
+grid.newpage()
+grid.rect(gp=gpar(fill=linearGradient()))
+HersheyLabel("default gradient
+(for resizing)
+black bottom-left to white top-right")
+
+grid.newpage()
+pushViewport(viewport(gp=gpar(fill=linearGradient())))
+grid.rect()
+HersheyLabel("gradient on viewport
+(for resizing)
+black bottom-left to white top-right")
+
+## Copy to new graphics device
+grid.newpage()
+grid.rect(gp=gpar(fill=linearGradient()))
+x <- recordPlot()
+HersheyLabel("default gradient
+for recordPlot()
+black bottom-left to white top-right")
+replayPlot(x)
+HersheyLabel("default gradient
+from replayPlot()
+black bottom-left to white top-right")
+## (Resize that as well if you like)
+
+grid.newpage()
+pushViewport(viewport(gp=gpar(fill=linearGradient())))
+grid.rect()
+x <- recordPlot()
+HersheyLabel("gradient on viewport
+for recordPlot()
+black bottom-left to white top-right")
+replayPlot(x)
+HersheyLabel("gradient on viewport
+from replayPlot()
+black bottom-left to white top-right")
+
+## Replay on new device with gradient already defined
+## (watch out for recorded grob using existing gradient)
+grid.newpage()
+grid.rect(gp=gpar(fill=linearGradient()))
+x <- recordPlot()
+HersheyLabel("default gradient
+for recordPlot()
+black bottom-left to white top-right")
+grid.newpage()
+grid.rect(gp=gpar(fill=linearGradient(c("white", "red"))))
+HersheyLabel("new rect with new gradient")
+replayPlot(x)
+HersheyLabel("default gradient
+from replayPlot()
+AFTER white-red gradient
+(should be default gradient)")
+
+## Similar to previous, except involving viewports
+grid.newpage()
+pushViewport(viewport(gp=gpar(fill=linearGradient())))
+grid.rect()
+x <- recordPlot()
+HersheyLabel("gradient on viewport
+for recordPlot()")
+grid.newpage()
+pushViewport(viewport(gp=gpar(fill=linearGradient(c("white", "red")))))
+grid.rect()
+HersheyLabel("new viewport with new gradient")
+replayPlot(x)
+HersheyLabel("gradient on viewport
+from replayPlot()
+AFTER white-red gradient
+(should be default gradient)")
+
+######################################
+## Test of 'grid' display list
+
+grid.newpage()
+grid.rect(name="r")
+HersheyLabel("empty rect")
+grid.edit("r", gp=gpar(fill=linearGradient()))
+HersheyLabel("edited rect
+to add gradient", y=.1)
+
+grid.newpage()
+grid.rect(gp=gpar(fill=linearGradient()))
+HersheyLabel("rect with gradient
+(for grab)")
+x <- grid.grab()
+grid.newpage()
+grid.draw(x)
+HersheyLabel("default gradient
+from grid.grab()")
+
+grid.newpage()
+pushViewport(viewport(width=.5, height=.5, gp=gpar(fill=linearGradient())))
+grid.rect()
+HersheyLabel("gradient on viewport
+viewport half height/width
+for grid.grab")
+x <- grid.grab()
+grid.newpage()
+grid.draw(x)
+HersheyLabel("gradient on viewport
+viewport half height/width
+from grid.grab")
+
+######################################
+## Tests of "efficiency"
+## (are patterns being resolved only as necessary)
+
+## 
+trace(grid:::resolveFill.GridPattern, print=FALSE,
+      function(...) cat("*** RESOLVE:  Viewport pattern resolved\n"))
+trace(grid:::resolveFill.GridGrobPattern, print=FALSE,
+      function(...) cat("*** RESOLVE:  Grob pattern resolved\n"))
+
+## ONCE for rect grob
+traceHead <- "ONE resolve for rect grob with gradient"
+grid.newpage()
+traceOutput <- capture.output(grid.rect(gp=gpar(fill=linearGradient())))
+HersheyLabel("default gradient
+for tracing", y=.9)
+HersheyLabel(paste(traceHead, paste(traceOutput, collapse="\n"), sep="\n"))
+
+
+## ONCE for multiple rects from single grob
+traceHead <- "ONE resolve for multiple rects from rect grob with gradient"
+grid.newpage()
+traceOutput <- capture.output(grid.rect(x=1:5/6, y=1:5/6, width=1/8, height=1/8,
+                                        gp=gpar(fill=linearGradient())))
+HersheyLabel("gradient on five rects
+for tracing", y=.9)
+HersheyLabel(paste(traceHead, paste(traceOutput, collapse="\n"), sep="\n"))
+
+## ONCE for viewport with rect
+traceHead <- "ONE resolve for rect grob in viewport with gradient"
+grid.newpage()
+traceOutput <- capture.output({
+    pushViewport(viewport(width=.5, height=.5, gp=gpar(fill=linearGradient())))
+    grid.rect()
+})
+HersheyLabel("gradient on viewport
+viewport half height/width
+for tracing", y=.8)
+HersheyLabel(paste(traceHead, paste(traceOutput, collapse="\n"), sep="\n"))
+
+## ONCE for viewport with rect, revisiting multiple times
+traceHead <- "ONE resolve for rect grob in viewport with gradient\nplus nested viewport\nplus viewport revisited"
+grid.newpage()
+traceOutput <- capture.output({
+    pushViewport(viewport(width=.5, height=.5, gp=gpar(fill=linearGradient()),
+                          name="vp"))
+    grid.rect(gp=gpar(lwd=8))
+    pushViewport(viewport(width=.5, height=.5))
+    grid.rect()
+    upViewport()
+    grid.rect(gp=gpar(col="red", lwd=4))
+    upViewport()
+    downViewport("vp")
+    grid.rect(gp=gpar(col="blue", lwd=2))
+})
+HersheyLabel("gradient on viewport
+viewport half width/height
+rect (thick black border)
+nested viewport (inherits gradient)
+rect (medium red border)
+navigate to original viewport
+rect (thin blue border)", y=.9)
+HersheyLabel(paste(traceHead, paste(traceOutput, collapse="\n"), sep="\n"))
+
+untrace(grid:::resolveFill.GridPattern)
+untrace(grid:::resolveFill.GridGrobPattern)
+
+################################################################################
+## Grob-based patterns
+
+## Simple circle grob as pattern in rect
+grid.newpage()
+grid.rect(gp=gpar(fill=pattern(circleGrob(gp=gpar(fill="grey")))))
+HersheyLabel("single grey filled circle pattern")
+
+## Multiple circles as pattern in rect
+grid.newpage()
+pat <- circleGrob(1:3/4, r=unit(1, "cm"))
+grid.rect(gp=gpar(fill=pattern(pat)))
+HersheyLabel("three unfilled circles pattern")
+
+## Pattern on rect scales with rect
+grid.newpage()
+grid.rect(width=.5, height=.8, gp=gpar(fill=pattern(pat)))
+HersheyLabel("pattern on rect scales with rect")
+
+## Pattern on viewport
+grid.newpage()
+pushViewport(viewport(gp=gpar(fill=pattern(pat))))
+grid.rect()
+HersheyLabel("pattern on viewport
+applied to rect")
+
+## Pattern on viewport stays fixed for rect
+grid.newpage()
+pushViewport(viewport(gp=gpar(fill=pattern(pat))))
+grid.rect(width=.5, height=.8)
+HersheyLabel("pattern on viewport
+applied to rect
+pattern does not scale with rect")
+
+## Patterns have colour
+grid.newpage()
+pat <- circleGrob(1:3/4, r=unit(1, "cm"),
+                  gp=gpar(fill=c("red", "green", "blue")))
+grid.rect(gp=gpar(fill=pattern(pat)))
+HersheyLabel("pattern with colour")
+
+## Pattern with gradient
+grid.newpage()
+pat <- circleGrob(1:3/4, r=unit(1, "cm"),
+                  gp=gpar(fill=linearGradient()))
+grid.rect(gp=gpar(fill=pattern(pat)))
+HersheyLabel("pattern with gradient")
+
+## Pattern with a clipping path
+grid.newpage()
+pat <- circleGrob(1:3/4, r=unit(1, "cm"),
+                  vp=viewport(clip=rectGrob(height=unit(1, "cm"))),
+                  gp=gpar(fill=linearGradient()))
+grid.rect(gp=gpar(fill=pattern(pat)))
+HersheyLabel("pattern with clipping path
+and gradient")
+
+## Tiling patterns
+grid.newpage()
+grob <- circleGrob(r=unit(2, "mm"),
+                   gp=gpar(col=NA, fill="grey"))
+pat <- pattern(grob,
+               width=unit(5, "mm"),
+               height=unit(5, "mm"),
+               extend="repeat")
+grid.rect(gp=gpar(fill=pat))
+HersheyLabel("pattern that tiles page")
+
+grid.newpage()
+pushViewport(viewport(gp=gpar(fill=pat)))
+grid.rect(width=.5)
+HersheyLabel("pattern that fills viewport
+but only drawn within rectangle
+pattern relative to viewport")
+
+grid.newpage()
+grob <- circleGrob(x=0, y=0, r=unit(2, "mm"),
+                   gp=gpar(col=NA, fill="grey"))
+pat <- pattern(grob,
+               x=0, y=0, 
+               width=unit(5, "mm"),
+               height=unit(5, "mm"),
+               extend="repeat")
+grid.rect(width=.5, gp=gpar(fill=pat))
+HersheyLabel("pattern as big as the viewport
+but only drawn within rectangle
+pattern relative to rectangle
+(starts at bottom left of rectangle)")
+
+## More tests
+grid.newpage()
+grid.circle(gp=gpar(fill=linearGradient(y1=.5, y2=.5)))
+HersheyLabel("circle with horizontal gradient
+black left to white right")
+
+grid.newpage()
+grid.polygon(c(.2, .8, .7, .5, .3),
+             c(.8, .8, .2, .4, .2),
+             gp=gpar(fill=linearGradient(y1=.5, y2=.5)))
+HersheyLabel("polygon with horizontal gradient
+black left to white right")
+
+grid.newpage()
+grid.path(c(.2, .8, .3, .5, .7),
+          c(.8, .8, .2, .4, .2),
+          gp=gpar(fill=linearGradient(y1=.5, y2=.5)))
+HersheyLabel("path with horizontal gradient
+black left to white right")
+
+grid.newpage()
+grid.text("Reveal", gp=gpar(fontfamily="HersheySans",
+                            fontface="bold", cex=3))
+grid.rect(gp=gpar(col=NA,
+                  fill=radialGradient(c("white", "transparent"),
+                                      r2=.3)))
+HersheyLabel("text with semitransparent radial gradient
+centre of text should be dissolved", y=.2)
+
+grid.newpage()
+pat <-
+    pattern(circleGrob(gp=gpar(col=NA, fill="grey"),
+                       vp=viewport(width=.2, height=.2,
+                                   mask=rectGrob(x=c(1, 3)/4,
+                                                 width=.3,
+                                                 gp=gpar(fill="black")))),
+            width=1/4, height=1/4,
+            extend="repeat")
+grid.rect(width=.5, height=.5, gp=gpar(fill=pat))
+HersheyLabel("rect in centre with pattern fill
+pattern is circle drawn in smaller viewport
+pattern is masked by two tall thin rects
+pattern repeats", y=.15)
+
+grid.newpage()
+pat1 <-
+    pattern(circleGrob(r=.1, gp=gpar(col="black", fill="grey")),
+            width=.2, height=.2,
+            extend="repeat")
+pat2 <-
+    pattern(circleGrob(r=1/4, gp=gpar(col="black", fill=pat1)),
+            width=1/2, height=1/2,
+            extend="repeat")
+grid.rect(width=.5, height=.5, gp=gpar(fill=pat2))
+HersheyLabel("rect in centre with pattern fill
+pattern is small circle with pattern fill
+nested pattern is smaller circle (grey)
+both patterns repeat", y=.15)
+
+######################################
+## Test for expanding pattern resources
+grid.newpage()
+for (i in 1:21) {
+    grid.rect(gp=gpar(fill=linearGradient()))
+    HersheyLabel(paste0("rect ", i, " with gradient
+pattern released every time"))
+}
+
+grid.newpage()
+for (i in 1:65) {
+    pushViewport(viewport(gp=gpar(fill=linearGradient())))
+    grid.rect()
+    HersheyLabel(paste0("viewport ", i, " with gradient
+new pattern every time"))
+}
+
+grid.newpage()
+for (i in 1:21) {
+    grid.rect(gp=gpar(fill=linearGradient()))
+    HersheyLabel(paste0("rect ", i, " with gradient
+AFTER grid.newpage()
+pattern released every time"))
+}
+
+####################################
+## Additional tests
+
+## gTree with gradient fill
+grid.newpage()
+gt <- gTree(children=gList(circleGrob(1:2/3, r=.1)),
+            gp=gpar(fill=linearGradient(y1=.5, y2=.5)))
+grid.draw(gt)
+HersheyLabel("gTree with circles as children
+gTree has gradient fill
+gradient relative to circle bounds
+(black at left to white at right)", y=.8)
+
+## gTree with gradient fill with gTree 
+grid.newpage()
+gt <- gTree(children=gList(gTree(children=gList(circleGrob(1:2/3, r=.1)))),
+            gp=gpar(fill=linearGradient(y1=.5, y2=.5)))
+grid.draw(gt)
+HersheyLabel("gTree with gTree as child
+inner gTree has circles as children
+outer gTree has gradient fill
+gradient relative to circle bounds
+(black at left to white at right)", y=.8)
+
+## Pattern including text
+grid.newpage()
+pat <- pattern(textGrob("test"),
+               width=1.2*stringWidth("test"),
+               height=unit(1, "lines"),
+               extend="repeat")
+grid.circle(r=.3, gp=gpar(fill=pat))
+HersheyLabel("circle filled with pattern
+pattern based on (repeating) text", y=.9)
+
+## Text (path) filled with pattern
+grid.newpage()
+rects <- gTree(children=gList(rectGrob(width=unit(2, "mm"),
+                                       height=unit(2, "mm"),
+                                       just=c("left", "bottom"),
+                                       gp=gpar(fill="black")),
+                              rectGrob(width=unit(2, "mm"),
+                                       height=unit(2, "mm"),
+                                       just=c("right", "top"),
+                                       gp=gpar(fill="black"))))
+checkerBoard <- pattern(rects,
+                        width=unit(4, "mm"), height=unit(4, "mm"),
+                        extend="repeat")
+grid.fill(textGrob("test", gp=gpar(fontface="bold", cex=10)),
+          gp=gpar(fill=checkerBoard))
+HersheyLabel("stroked path based on text
+filled with checkerboard pattern", y=.8)
+    
+## Pattern including raster
+grid.newpage()
+rg <- rasterGrob(matrix(c(0:1, 1:0), nrow=2),
+                 width=unit(1, "cm"), height=unit(1, "cm"),
+                 interpolate=FALSE)
+pat <- pattern(rg, 
+               width=unit(1, "cm"), height=unit(1, "cm"),
+               extend="repeat")
+grid.circle(r=.2, gp=gpar(fill=pat))
+HersheyLabel("circle filled with pattern
+pattern is based on raster (checkerboard)", y=.8)
+
+## Radial gradient where start circle and final circle overlap
+grid.newpage()
+x1 <- .7
+y1 <- .7
+r1 <- .2
+x2 <- .4
+y2 <- .4
+r2 <- .4
+grid.circle(x1, y1, r=r1, gp=gpar(col="green", fill=NA, lwd=2))
+grid.circle(x2, y2, r=r2, gp=gpar(col="red", fill=NA, lwd=2))
+grid.rect(gp=gpar(fill=radialGradient(rgb(0:1, 1:0, 0, .5),
+                                      cx1=x1, cy1=y1, r1=r1,
+                                      cx2=x2, cy2=y2, r2=r2)))
+HersheyLabel("radial gradient with overlapping start and final circles
+gradient is from semitransparent green
+to semitransparent red
+start circle is green
+final circle is red")
+
+## Text (path) filled with pattern
+grid.newpage()
+grid.fill(textGrob("test", gp=gpar(fontface="bold", cex=10)),
+          gp=gpar(fill=linearGradient(2:3)))
+HersheyLabel("stroked path based on text
+filled with linear gradient", y=.8)
+    
+################################################################################
+## Points
+
+## Points filled with gradient
+grid.newpage()
+grid.points(1:9/10, 1:9/10, default.units="npc",
+            pch=21, gp=gpar(fill=linearGradient()))
+HersheyLabel("points (pch=21)
+filled with linear gradient
+(gradient based on ALL points)", y=.8)
+
+## Points filled with gradient (point not filled)
+grid.newpage()
+grid.points(1:9/10, 1:9/10, default.units="npc",
+            pch=1, gp=gpar(fill=linearGradient()))
+HersheyLabel("points (pch=1)
+filled with linear gradient
+(fill ignored)", y=.8)
+
+## Individual points filled with gradient (gradient recycled)
+grid.newpage()
+grid.points(1:3/4, 1:3/4, default.units="npc",
+            pch=21, gp=gpar(fill=linearGradient(group=FALSE)))
+HersheyLabel("points (pch=21)
+filled with linear gradient
+(gradient based on EACH point)", y=.8)
+
+## Individual points filled with individual gradients
+grid.newpage()
+gradients <- lapply(2:4, function(x) linearGradient(c(x, "white"), group=FALSE))
+grid.points(1:3/4, 1:3/4, default.units="npc",
+            pch=21, gp=gpar(fill=gradients))
+HersheyLabel("points (pch=21)
+filled with linear gradient
+(different gradient for EACH point)", y=.8)
+
+## points inheriting single gradient
+grid.newpage()
+pushViewport(viewport(gp=gpar(fill=linearGradient())))
+grid.points(1:2, 1:2, default.units="in", pch=21)
+HersheyLabel("points (pch=21)
+filled with linear gradient
+gradient inherited from viewport
+(so gradient relative to viewport)")
+
+## points inheriting multiple gradients
+grid.newpage()
+pushViewport(viewport(gp=gpar(fill=list(linearGradient(1:2),
+                                        radialGradient(3:4)))))
+grid.points(1:2, 1:2, default.units="in", pch=21)
+HersheyLabel("points (pch=21)
+filled with multiple linear gradients
+gradients inherited from viewport
+(so gradients relative to viewport)")
+
+## points recycling inherited multiple gradients
+grid.newpage()
+pushViewport(viewport(gp=gpar(fill=list(linearGradient(1:2),
+                                        radialGradient(3:4)))))
+grid.points(1:9/10, 1:9/10, default.units="npc", pch=21)
+HersheyLabel("points (pch=21)
+filled with linear gradients
+gradients inherited from viewport
+(so gradient relative to viewport)
+more points than gradients
+(so gradients recycled)")
+
+## points recycling inherited multiple gradients with group=FALSE
+## so pattern just passed through and resolved relative to points grob
+grid.newpage()
+pushViewport(viewport(gp=gpar(fill=list(linearGradient(1:2, group=FALSE),
+                                        radialGradient(3:4, group=FALSE)))))
+grid.points(1:9/10, 1:9/10, default.units="npc", pch=21)
+HersheyLabel("points (pch=21)
+filled with linear gradients
+group=FALSE
+gradients inherited from viewport
+(but unresolved so resolved on EACH point)
+more points than gradients
+(so gradients recycled)")
+
+## Using tracing to check that fills are not being resolved more than necessary
+trace(grid:::resolveFill.GridPattern, print=FALSE,
+      function(...) cat("*** RESOLVE:  Viewport pattern resolved\n"))
+trace(grid:::resolveFill.GridPatternList, print=FALSE,
+      function(...) cat("*** RESOLVE:  Viewport pattern list resolved\n"))
+trace(grid:::resolveFill.GridGrobPattern, print=FALSE,
+      function(...) cat("*** RESOLVE:  Grob pattern resolved\n"))
+trace(grid:::resolveFill.GridGrobPatternList, print=FALSE,
+      function(...) cat("*** RESOLVE:  Grob pattern list resolved\n"))
+doTrace <- function(head, f) {
+    traceOutput <- capture.output(f())    
+    HersheyLabel(paste(head, paste(traceOutput, collapse="\n"), sep="\n"))
+}
+
+grid.newpage()
+doTrace("points grob (pch=21)\nwith gradient\nONE resolve",
+        function() {
+            grid.points(1:9/10, 1:9/10, default.units="npc",
+                        pch=21,
+                        gp=gpar(fill=linearGradient()))
+        })
+
+grid.newpage()
+doTrace("points grob (pch=1)\nwith gradient\nONE resolve\n(even though unused)",
+        function() {
+            grid.points(1:9/10, 1:9/10, default.units="npc",
+                        pch=1, gp=gpar(fill=linearGradient()))
+        })
+
+grid.newpage()
+doTrace("points grob (pch=21)\nwith gradient (group=FALSE)\nTHREE resolves\n(resolve per point)",
+        function() {
+            grid.points(1:3/4, 1:3/4, default.units="npc",
+                        pch=21, gp=gpar(fill=linearGradient(group=FALSE)))
+        })
+
+grid.newpage()
+gradients <- lapply(2:4, function(x) linearGradient(c(x, "white"), group=FALSE))
+doTrace("points grob (pch=21)\nwith gradient list (group=FALSE)\nONE resolve\n(all gradients resolved at once)",
+        function() {
+            grid.points(1:3/4, 1:3/4, default.units="npc",
+                        pch=21, gp=gpar(fill=gradients))
+        })
+
+grid.newpage()
+doTrace("points grob (pch=21)\nwith inherited gradient\nONE resolve\n(gradient resolved when vp pushed)",
+        function() {
+            pushViewport(viewport(gp=gpar(fill=linearGradient())))
+            grid.points(1:2, 1:2, default.units="in", pch=21)
+        })
+
+grid.newpage()
+doTrace("points grob (pch=21)\nwith inherited gradient list\nTWO resolves\n(gradient list resolved when vp pushed\nAND gradient list resolved when points drawn\n[no-op because already resolved])",
+        function() {
+            pushViewport(viewport(gp=gpar(fill=list(linearGradient(1:2),
+                                                    radialGradient(3:4)))))
+            grid.points(1:2, 1:2, default.units="in", pch=21)
+        })
+
+grid.newpage()
+doTrace("points grob (pch=21)\nwith inherited gradient list\nAND recycling of gradients\nTWO resolves\n(gradient list resolved when vp pushed\nAND gradient list resolved when points drawn\n[no-op because already resolved])",
+        function() {
+            pushViewport(viewport(gp=gpar(fill=list(linearGradient(1:2),
+                                                    radialGradient(3:4)))))
+            grid.points(1:9/10, 1:9/10, default.units="npc", pch=21)
+        })
+
+## Individual points filled with individual gradients
+## *some* group = TRUE and *some* group = FALSE
+grid.newpage()
+gradients <- lapply(2:4, function(x) linearGradient(c(x, "white"),
+                                                    group = x %% 2))
+grid.points(1:3/4, 1:3/4, default.units="npc",
+            pch=21, gp=gpar(fill=gradients))
+HersheyLabel("points (pch=21)
+filled with linear gradient
+(different gradient for EACH point)
+first and third resolved on individual points
+second resolved on ALL points", y=.8)
+
+## Points filled with pattern (recycled), multiple pch
+grid.newpage()
+grid.points(1:3/4, 1:3/4, default.units="npc",
+            pch=21:23, gp=gpar(fill=linearGradient(group=FALSE)))
+HersheyLabel("points (pch=21:23)
+single gradient (group=FALSE)
+each different point gets its own gradient", y=.8)
+
+################################################################################
+## Rects
+grid.newpage()
+grid.rect(x=1:3/4, y=1:3/4, width=.2, height=.2,
+          gp=gpar(fill=linearGradient(group=FALSE)))
+HersheyLabel("single gradient fill
+group = FALSE", y=.8)
+
+grid.newpage()
+grid.rect(x=1:3/4, y=1:3/4, width=.2, height=.2,
+          gp=gpar(fill=list(linearGradient(group=FALSE),
+                            radialGradient(group=FALSE),
+                            linearGradient())))
+HersheyLabel("list of gradient fills
+linear (group=FALSE)
+radial (group=FALSE)
+linear (group=TRUE)", y=.8)
+
+################################################################################
+## Circles
+grid.newpage()
+grid.circle(x=1:3/4, y=1:3/4, r=.1,
+            gp=gpar(fill=linearGradient(group=FALSE)))
+HersheyLabel("single gradient fill
+group = FALSE", y=.8)
+
+grid.newpage()
+grid.circle(x=1:3/4, y=1:3/4, r=.1,
+            gp=gpar(fill=list(linearGradient(group=FALSE),
+                              radialGradient(group=FALSE),
+                              linearGradient())))
+HersheyLabel("list of gradient fills
+linear (group=FALSE)
+radial (group=FALSE)
+linear (group=TRUE)", y=.8)
+
+################################################################################
+## Polygons
+grid.newpage()
+grid.polygon(x=c(.2, .4, .3,
+                 .4, .6, .5,
+                 .6, .8, .7),
+             y=c(.2, .2, .4,
+                 .4, .4, .6,
+                 .6, .6, .8),
+             id=rep(1:3, each=3),
+             gp=gpar(fill=linearGradient(group=FALSE)))
+HersheyLabel("single gradient fill
+group = FALSE", y=.8)
+
+grid.newpage()
+grid.polygon(x=c(.2, .4, .3,
+                 .4, .6, .5,
+                 .6, .8, .7),
+             y=c(.2, .2, .4,
+                 .4, .4, .6,
+                 .6, .6, .8),
+             id=rep(1:3, each=3),
+             gp=gpar(fill=list(linearGradient(group=FALSE),
+                               radialGradient(group=FALSE),
+                               linearGradient())))
+HersheyLabel("list of gradient fills
+linear (group=FALSE)
+radial (group=FALSE)
+linear (group=TRUE)", y=.8)
+
+################################################################################
+## Segments
+grid.newpage()
+grid.segments(x0=c(.2, .4, .6),
+              y0=c(.2, .5, .8),
+              x1=c(.4, .6, .8),
+              y1=c(.2, .5, .8),
+              gp=gpar(fill=linearGradient(group=FALSE)))
+HersheyLabel("single gradient fill
+group = FALSE", y=.8)
+
+grid.newpage()
+grid.segments(x0=c(.2, .4, .6),
+              y0=c(.2, .5, .8),
+              x1=c(.4, .6, .8),
+              y1=c(.2, .5, .8),
+             gp=gpar(fill=list(linearGradient(group=FALSE),
+                               radialGradient(group=FALSE),
+                               linearGradient())))
+HersheyLabel("list of gradient fills
+linear (group=FALSE)
+radial (group=FALSE)
+linear (group=TRUE)", y=.8)
+
+################################################################################
+## Xsplines
+grid.newpage()
+grid.xspline(x=c(.2, .4, .3,
+                 .4, .6, .5,
+                 .6, .8, .7),
+             y=c(.2, .2, .4,
+                 .4, .4, .6,
+                 .6, .6, .8),
+             id=rep(1:3, each=3),
+             shape=-1, open=FALSE,
+             gp=gpar(fill=linearGradient(group=FALSE)))
+HersheyLabel("single gradient fill
+group = FALSE", y=.8)
+
+grid.newpage()
+grid.xspline(x=c(.2, .4, .3,
+                 .4, .6, .5,
+                 .6, .8, .7),
+             y=c(.2, .2, .4,
+                 .4, .4, .6,
+                 .6, .6, .8),
+             id=rep(1:3, each=3),
+             shape=-1, open=FALSE,
+             gp=gpar(fill=list(linearGradient(group=FALSE),
+                               radialGradient(group=FALSE),
+                               linearGradient())))
+HersheyLabel("list of gradient fills
+linear (group=FALSE)
+radial (group=FALSE)
+linear (group=TRUE)", y=.8)
+
+################################################################################
+## Lines
+##
+## NOTE that polylines are handled by same underlying C code
+grid.newpage()
+grid.lines(x=c(.2, .4, .3),
+           y=c(.2, .2, .4),
+           gp=gpar(fill=linearGradient(group=FALSE)))
+HersheyLabel("single gradient fill
+group = FALSE", y=.8)
+
+grid.newpage()
+grid.lines(x=c(.2, .4, .3),
+           y=c(.2, .2, .4),
+           gp=gpar(fill=list(linearGradient(group=FALSE),
+                             radialGradient(group=FALSE),
+                             linearGradient())))
+HersheyLabel("list of gradient fills
+linear (group=FALSE)
+radial (group=FALSE)
+linear (group=TRUE)", y=.8)
+
+################################################################################
+## MoveTo/LineTo
+grid.newpage()
+grid.move.to(x=.2, y=.2)
+grid.line.to(x=.4, y=.4,
+             gp=gpar(fill=linearGradient(group=FALSE)))
+HersheyLabel("single gradient fill
+group = FALSE", y=.8)
+
+grid.newpage()
+grid.move.to(x=.2, y=.2)
+grid.line.to(x=.4, y=.4,
+             gp=gpar(fill=list(linearGradient(group=FALSE),
+                               radialGradient(group=FALSE),
+                               linearGradient())))
+HersheyLabel("list of gradient fills
+linear (group=FALSE)
+radial (group=FALSE)
+linear (group=TRUE)", y=.8)
+
+################################################################################
+## Paths
+
+## Pattern fill on single path consisting of distinct shapes
+grid.newpage()
+grid.path(c(.2, .2, .4, .4, .6, .6, .8, .8),
+          c(.2, .4, .4, .2, .6, .8, .8, .6),
+          id=rep(1:2, each=4),
+          gp=gpar(fill=linearGradient(group=FALSE)))
+HersheyLabel("single gradient fill
+group = FALSE
+single path", y=.8)
+
+## Pattern fill on multiple paths, each consisting of distinct shapes
+grid.newpage()
+grid.path(c(.2, .2, .4, .4,
+            .25, .25, .35, .35,
+            .6, .6, .8, .8,
+            .65, .65, .75, .75),
+          c(.2, .4, .4, .2,
+            .25, .35, .35, .25,
+            .6, .8, .8, .6,
+            .65, .75, .75, .65),
+          rule="evenodd",
+          id=rep(1:4, each=4),
+          pathId=rep(1:2, each=8),
+          gp=gpar(fill=linearGradient(group=FALSE)))
+HersheyLabel("single gradient fill
+group = FALSE
+multiple paths", y=.8)
+
+## Same thing, list of patterns
+grid.newpage()
+grid.path(c(.2, .2, .4, .4,
+            .25, .25, .35, .35,
+            .6, .6, .8, .8,
+            .65, .65, .75, .75),
+          c(.2, .4, .4, .2,
+            .25, .35, .35, .25,
+            .6, .8, .8, .6,
+            .65, .75, .75, .65),
+          rule="evenodd",
+          id=rep(1:4, each=4),
+          pathId=rep(1:2, each=8),
+          gp=gpar(fill=list(linearGradient(group=FALSE),
+                            radialGradient(group=FALSE))))
+HersheyLabel("mulitple gradient fills
+group = FALSE
+multiple paths", y=.8)
+
+################################################################################
+## Raster
+grid.newpage()
+grid.raster(matrix(1:4/5, ncol=2),
+            interpolate=FALSE,
+            width=.5, height=.5,
+            gp=gpar(fill=linearGradient(group=FALSE)))
+HersheyLabel("single gradient fill
+group = FALSE", y=.8)
+
+grid.newpage()
+grid.raster(matrix(1:4/5, ncol=2),
+            interpolate=FALSE,
+            width=.5, height=.5,
+            gp=gpar(fill=list(linearGradient(group=FALSE),
+                              radialGradient(group=FALSE),
+                              linearGradient())))
+HersheyLabel("list of gradient fills
+linear (group=FALSE)
+radial (group=FALSE)
+linear (group=TRUE)", y=.8)
+
+################################################################################
+## Text
+grid.newpage()
+grid.text(letters[1:3], x=1:3/4, y=1:3/4, 
+          gp=gpar(fontfamily="HersheySans",
+                  fill=linearGradient(group=FALSE)))
+HersheyLabel("single gradient fill
+group = FALSE", y=.8)
+
+grid.newpage()
+grid.text(letters[1:3], x=1:3/4, y=1:3/4, 
+          gp=gpar(fontfamily="HersheySans",
+                  fill=list(linearGradient(group=FALSE),
+                            radialGradient(group=FALSE),
+                            linearGradient())))
+HersheyLabel("list of gradient fills
+linear (group=FALSE)
+radial (group=FALSE)
+linear (group=TRUE)", y=.8)
+
+################################################################################
+## Arrows
+grid.newpage()
+grid.segments(x0=c(.2, .4, .6),
+              y0=c(.2, .5, .8),
+              x1=c(.4, .6, .8),
+              y1=c(.2, .5, .8),
+              arrow=arrow(type="closed"),
+              gp=gpar(fill=linearGradient(group=FALSE)))
+HersheyLabel("Lines with (closed) arrows
+gradient fill disallowed on arrow", y=.8)
+
+grid.newpage()
+grid.xspline(x=c(.2, .4, .3,
+                 .4, .6, .5,
+                 .6, .8, .7),
+             y=c(.2, .2, .4,
+                 .4, .4, .6,
+                 .6, .6, .8),
+             id=rep(1:3, each=3),
+             shape=-1,
+             arrow=arrow(type="closed"),
+             gp=gpar(fill=linearGradient(group=FALSE)))
+HersheyLabel("Lines with (closed) arrows
+gradient fill disallowed on arrow", y=.8)
+
+grid.newpage()
+grid.lines(x=c(.2, .4, .3),
+           y=c(.2, .2, .4),
+           arrow=arrow(type="closed"),
+           gp=gpar(fill=linearGradient(group=FALSE)))
+HersheyLabel("Lines with (closed) arrows
+gradient fill disallowed on arrow", y=.8)
+
+grid.newpage()
+grid.move.to(x=.2, y=.2)
+grid.line.to(x=.4, y=.4,
+             arrow=arrow(type="closed"),
+             gp=gpar(fill=linearGradient(group=FALSE)))
+HersheyLabel("Lines with (closed) arrows
+gradient fill disallowed on arrow", y=.8)
+
+################################################################################
+## Test more complex coords from more complex grobs (gTrees)
+
+################################################################################
+## grobCoords() also used when resolving patterns to generate a bbox
+## for temporary viewport (so the pattern is resolved relative to the
+## grob bbox).  Hence ...
+##
+## grid/R/patterns.R
+library(grid)
+
+## Test gTree with pattern fill
+## Children are distinct rectangles, pattern is resolved on gTree
+## so relative to bbox around both rectangles
+gt <- gTree(children=gList(rectGrob(1/3, width=.2, height=.2),
+                           rectGrob(2/3, width=.2, height=.2)),
+            gp=gpar(fill=linearGradient()))
+grid.newpage()
+grid.draw(gt)
+HersheyLabel("gTree with two rects
+fill resolved on bbox of both rects", y=.8)
+
+## Test gTree with pattern fill with children that push vp
+## (to test that the resolution happens in the gTree context
+##  NOT the child's vp context)
+## Both rects should be filled with gradient that fills whole page
+gt <- gTree(children=gList(rectGrob(),
+                           rectGrob(vp=viewport(width=.5, height=.5))),
+            gp=gpar(fill=linearGradient()))
+grid.newpage()
+grid.draw(gt)
+HersheyLabel("gTree with two rects
+one rect has vp
+fill resolved on gTree
+both rects same fill")
+
+## Test gTree with pattern fill with children with pattern fill
+## Left rect gets its own gradient;  right rect gets gradient
+## relative to both rects
+gt <- gTree(children=gList(rectGrob(1/3, width=.2, height=.2,
+                                    gp=gpar(fill=linearGradient())),
+                           rectGrob(2/3, width=.2, height=.2)),
+            gp=gpar(fill=linearGradient()))
+grid.newpage()
+grid.draw(gt)
+HersheyLabel("gTree with pattern fill
+one rect also has pattern fill
+one rect has gTree pattern fill
+(resolved on both rects)
+one rect has its own pattern fill", y=.8)
+
+## Test gTree with pattern fill with gTree as child
+## (same result as first gTree test)
+gt <- gTree(children=gList(gTree(children=gList(rectGrob(1/3,
+                                                         width=.2,
+                                                         height=.2),
+                                                rectGrob(2/3,
+                                                         width=.2,
+                                                         height=.2)))),
+            gp=gpar(fill=linearGradient()))
+grid.newpage()
+grid.draw(gt)
+HersheyLabel("gTree with pattern fill
+child is gTree with children
+pattern resolved on parent gTree" ,y=.8)
+
+## Test gTree with gTree with pattern fill as child
+## (same result as first gTree test)
+gt <- gTree(children=gList(gTree(children=gList(rectGrob(1/3,
+                                                         width=.2,
+                                                         height=.2),
+                                                rectGrob(2/3,
+                                                         width=.2,
+                                                         height=.2)),
+                                 gp=gpar(fill=linearGradient()))))
+grid.newpage()
+grid.draw(gt)
+HersheyLabel("gTree child gTree
+child gTree has pattern fill
+pattern resolved on child gTree" ,y=.8)
+
+## Test gTree with pattern fill with group = FALSE
+## (so pattern fill is resolved separately on each child)
+gt <- gTree(children=gList(rectGrob(1/3, width=.2, height=.2),
+                           rectGrob(2/3, width=.2, height=.2)),
+            gp=gpar(fill=linearGradient(group=FALSE)))
+grid.newpage()
+grid.draw(gt)
+HersheyLabel("gTree with pattern fill
+with group=FALSE
+pattern resolved on each child rect", y=.8)
+
+################################################################################
+## groups and (stroked and filled) paths generate gTrees to calculate
+## grobCoords(), so they are affected.  Hence ...
+##
+## grid/R/group.R
+## grid/R/path.R
+library(grid)
+r1 <- rectGrob(x=0, y=0, width=.5, height=.5, just=c("left", "bottom"))
+r2 <- rectGrob(x=1, y=1, width=.75, height=.75, just=c("right", "top"),
+               gp=gpar(fill="black"))
+
+## Path with hole filled with pattern
+grid.newpage()
+grid.fill(gTree(children=gList(r1, r2)),
+          rule="evenodd",
+          gp=gpar(fill=linearGradient()))
+HersheyLabel("path from two rects
+pattern fill resolved on bbox of both rects", y=.8)
+
+## Remove r2 from r1 with "group" and fill with gradient
+## (bbox is from BOTH rects, hence whole page)
+grid.newpage()
+grid.group(r2, "clear", r1, gp=gpar(fill=linearGradient()))
+HersheyLabel("group of two rects
+big rect takes bite out of small rect
+pattern fill resolved on bbox of both rects", y=.8)
+
+## NOTE that setting 'gp' on group use has no effect on group
+## (graphical parameter settings were fixed at group definition)
+grid.newpage()
+grid.define(r1, name="r1")
+pushViewport(viewport(x=1, y=1))
+grid.use("r1", gp=gpar(fill=linearGradient()))
+upViewport()
+HersheyLabel("group use with pattern fill
+pattern IGNORED", y=.2)
+
+## BUT if put the fill on the grob in the group it works ?
+grid.newpage()
+grid.define(editGrob(r1, gp=gpar(fill=linearGradient())), name="r1")
+pushViewport(viewport(x=1, y=1))
+grid.use("r1")
+upViewport()
+HersheyLabel("group use imposes transformation
+rect within group has pattern fill
+pattern resolved on rect on use", y=.2)
+## ... even with scaling (as well as translation) transformation
+grid.newpage()
+grid.define(editGrob(r1, gp=gpar(fill=linearGradient())), name="r1")
+pushViewport(viewport(x=1, y=1, width=.5, height=.5))
+grid.use("r1")
+upViewport()
+HersheyLabel("group use imposes transformation AND scaling
+rect within group has pattern fill
+pattern resolved on rect on use", y=.2)
+
+################################################################################
+## Tests of gTree with LIST of patterns
+
+## gTree with LIST of patterns, group = TRUE
+## Test gTree with pattern fill with group = FALSE
+## (so pattern fill is resolved separately on each child)
+gt <- gTree(children=gList(rectGrob(1:2/3, 1/3, width=.2, height=.2),
+                           rectGrob(1:2/3, 2/3, width=.2, height=.2)),
+            gp=gpar(fill=list(linearGradient(), radialGradient())))
+grid.newpage()
+grid.draw(gt)
+HersheyLabel("gTree with LIST of pattern fills
+with group=TRUE
+patterns resolved on gTree
+each SHAPE within each child gets different pattern", y=.8)
+
+## gTree with LIST of patterns, group = FALSE
+gt <- gTree(children=gList(rectGrob(1:2/3, 1/3, width=.2, height=.2),
+                           rectGrob(1:2/3, 2/3, width=.2, height=.2)),
+            gp=gpar(fill=list(linearGradient(group=FALSE),
+                              radialGradient(group=FALSE))))
+grid.newpage()
+grid.draw(gt)
+HersheyLabel("gTree with LIST of pattern fills
+with group=FALSE
+patterns resolved on children
+each SHAPE within each child RESOLVES different pattern", y=.8)
+
+## gTree with LIST of patterns, group = mix of TRUE/FALSE
+gt <- gTree(children=gList(rectGrob(1:2/3, 1/3, width=.2, height=.2),
+                           rectGrob(1:2/3, 2/3, width=.2, height=.2)),
+            gp=gpar(fill=list(linearGradient(group=TRUE),
+                              radialGradient(group=FALSE))))
+grid.newpage()
+grid.draw(gt)
+HersheyLabel("gTree with LIST of pattern fills
+with group=TRUE and FALSE
+patterns resolved on gTree AND children
+each SHAPE within each child gets OR resolves different pattern", y=.8)
+
+## gTree with LIST of patterns, group = TRUE
+## but NO children that have a fill!
+gt <- gTree(children=gList(segmentsGrob(0, 0:1, 1, 1:0)),
+            gp=gpar(fill=list(linearGradient(),
+                              radialGradient())))
+grid.newpage()
+grid.draw(gt)
+HersheyLabel("gTree with LIST of pattern fills
+with group=TRUE
+BUT no children that have a fill
+patterns resolved on gTree
+no (pattern) fill", y=.8)
+
+## gTree with LIST of patterns, group = FALSE
+## but NO children that have a fill!
+gt <- gTree(children=gList(segmentsGrob(0, 0:1, 1, 1:0)),
+            gp=gpar(fill=list(linearGradient(group=FALSE),
+                              radialGradient(group=FALSE))))
+grid.newpage()
+grid.draw(gt)
+HersheyLabel("gTree with LIST of pattern fills
+with group=FALSE
+BUT no children that have a fill
+patterns resolved on children
+no (pattern) fill", y=.8)
+
+## gTree with LIST of patterns, group = mix of TRUE/FALSE
+## and MIX of children that have a fill!
+## (all combinations of group and child-has-fill)
+gt <- gTree(children=gList(segmentsGrob(0, 0:1, 1, 1:0),
+                           rectGrob(1:2/3, 2/3, width=.2, height=.2)),
+            gp=gpar(fill=list(linearGradient(group=TRUE),
+                              radialGradient(group=FALSE))))
+grid.newpage()
+grid.draw(gt)
+HersheyLabel("gTree with LIST of pattern fills
+with group=FALSE
+BUT no children that have a fill
+patterns resolved on children
+no (pattern) fill", y=.8)
+
+################################################################################
+## More groups and (stroked and filled) paths 
+library(grid)
+r1 <- rectGrob(x=0, y=0, width=.5, height=.5, just=c("left", "bottom"))
+r2 <- rectGrob(x=1, y=1, width=.75, height=.75, just=c("right", "top"),
+               gp=gpar(fill="black"))
+
+## Path with hole filled with pattern, group = FALSE
+## Path is a "single shape" so result should be same as group = TRUE
+grid.newpage()
+grid.fill(gTree(children=gList(r1, r2)),
+          rule="evenodd",
+          gp=gpar(fill=linearGradient(group=FALSE)))
+HersheyLabel("path from two rects
+group = FALSE
+pattern fill resolved on bbox of both rects", y=.8)
+
+## Remove r2 from r1 with "group" and fill with gradient, group = FALSE
+## Gradient should be applied to individual rects
+grid.newpage()
+grid.group(r2, "clear", r1, gp=gpar(fill=linearGradient(group=FALSE)))
+HersheyLabel("group of two rects
+group = FALSE
+big rect takes bite out of small rect
+pattern fill resolved on each rect", y=.8)
+
+## fill on the grob in the group
+grid.newpage()
+grid.define(r2, "clear",
+            editGrob(r1, gp=gpar(fill=linearGradient())),
+            name="r1")
+pushViewport(viewport(x=1, y=1))
+grid.use("r1")
+upViewport()
+HersheyLabel("group use imposes transformation
+rect within group has pattern fill
+pattern resolved on rect on use", y=.2)
+## ... even with scaling (as well as translation) transformation
+grid.newpage()
+grid.define(r2, "clear",
+            editGrob(r1, gp=gpar(fill=linearGradient())),
+            name="r1")
+pushViewport(viewport(x=1, y=1, width=.5, height=.5))
+grid.use("r1")
+upViewport()
+HersheyLabel("group use imposes transformation AND scaling
+rect within group has pattern fill
+pattern resolved on rect on use", y=.2)
+
+## fill on the grob in the group, group = FALSE
+grid.newpage()
+grid.define(r2, "clear",
+            editGrob(r1, gp=gpar(fill=linearGradient(group=FALSE))),
+            name="gt")
+pushViewport(viewport(x=1, y=1))
+grid.use("gt")
+upViewport()
+HersheyLabel("group use imposes transformation
+rect within group has pattern fill
+group = FALSE (no effect)
+pattern resolved on rect on use", y=.2)
+## ... even with scaling (as well as translation) transformation, group=FALSE
+grid.newpage()
+grid.define(r2, "clear",
+            editGrob(r1, gp=gpar(fill=linearGradient(group=FALSE))),
+            name="gt")
+pushViewport(viewport(x=1, y=1, width=.5, height=.5))
+grid.use("gt")
+upViewport()
+HersheyLabel("group use imposes transformation AND scaling
+rect within group has pattern fill
+group = FALSE (no effect)
+pattern resolved on rect on use", y=.2)
+
+## Test gTree with pattern fill with children that push vp, group = FALSE
+## SO child with vp should get different fill
+gt <- gTree(children=gList(rectGrob(),
+                           rectGrob(vp=viewport(width=.5, height=.5))),
+            gp=gpar(fill=linearGradient(group=FALSE)))
+grid.newpage()
+grid.draw(gt)
+HersheyLabel("gTree with two rects
+one rect has vp
+fill resolved on each rect
+rects get different fill")
+
+## gTree with group as child, fill resolved on gTree bbox
+## (so needs group bbox)
+grid.newpage()
+group <- groupGrob(r1)
+gt <- gTree(children=gList(r2, group),
+            gp=gpar(fill=linearGradient()))
+grid.draw(gt)
+HersheyLabel("gTree has group as child
+gTree has pattern fill
+pattern resolved on gTree", y=.2)
+
+## gTree with group USE as child, fill resolved on gTree bbox
+## (so needs group USE bbox)
+grid.newpage()
+r3 <- rectGrob(width=.5, height=.5)
+group <- grid.define(r1, name="r")
+use <- useGrob("r", vp=viewport(1, 1))
+gt <- gTree(children=gList(r3, use),
+            gp=gpar(fill=linearGradient()))
+grid.rect(.25, .25, .75, .75, just=c("left", "bottom"),
+          gp=gpar(col=NA, fill=linearGradient()))
+grid.draw(gt)
+HersheyLabel("gTree has group USE as child
+gTree has pattern fill
+pattern resolved on gTree
+(rect behind shows correct gradient)", y=.2)
+
+## Check grobCoords() from transform with skew produces same outline
+grid.newpage()
+c <- circleGrob(r=c(.3, .4))
+pts <- grobCoords(c, closed=TRUE)
+p <- pathGrob(c(pts[[1]]$x, pts[[2]]$x),
+              c(pts[[1]]$y, pts[[2]]$y),
+              default.units="in",
+              id=rep(1:2, each=100),
+              rule="evenodd",
+              gp=gpar(fill="grey"))
+grid.draw(p)
+grid.define(p, name="path")
+use <- useGrob("path",
+               transform=function(group, ...)
+                   viewportTransform(group,
+                                     shear=groupShear(.5),
+                                     ...))
+newPts <- grobCoords(use, closed=TRUE)
+newPath <- circleGrob(c(newPts[[1]][[1]][[1]]$x, newPts[[1]][[1]][[2]]$x),
+                      c(newPts[[1]][[1]][[1]]$y, newPts[[1]][[1]][[2]]$y),
+                      default.units="in",
+                      r=unit(.5, "mm"),
+                      gp=gpar(col="red", fill="red"))
+grid.draw(use)
+grid.draw(newPath)
+
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/grid/tests/grep.Rout.save
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/grid/tests/grep.Rout.save	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/grid/tests/grep.Rout.save	(revision 3761)
@@ -0,0 +1,100 @@
+
+R Under development (unstable) (2022-03-19 r81942) -- "Unsuffered Consequences"
+Copyright (C) 2022 The R Foundation for Statistical Computing
+Platform: x86_64-pc-linux-gnu (64-bit)
+
+R is free software and comes with ABSOLUTELY NO WARRANTY.
+You are welcome to redistribute it under certain conditions.
+Type 'license()' or 'licence()' for distribution details.
+
+R is a collaborative project with many contributors.
+Type 'contributors()' for more information and
+'citation()' on how to cite R or R packages in publications.
+
+Type 'demo()' for some demos, 'help()' for on-line help, or
+'help.start()' for an HTML browser interface to help.
+Type 'q()' to quit R.
+
+> library(grid)
+> 
+> ## Set up
+> grid.newpage()
+> pushViewport(viewport(name="a.vp"))
+> grid.rect(name="a.grob")
+> 
+> ## Default finds only grobs (no vpPath)
+> result <- grid.grep("a", grep=TRUE, global=TRUE)
+> result
+[[1]]
+a.grob 
+
+> attr(result[[1]], "vpPath")
+[1] ""
+> 
+> ## 'viewports = TRUE' (and 'vpPath = TRUE')
+> ## finds grobs and viewports (AND vpPath on grobs)
+> result <- grid.grep("a", grep=TRUE, global=TRUE, viewports=TRUE)
+> result
+[[1]]
+a.vp 
+
+[[2]]
+a.grob 
+
+> attr(result[[2]], "vpPath")
+[1] "a.vp"
+> 
+> ## 'viewports = FALSE' and 'vpPath = TRUE'
+> ## finds only grobs AND vpPath on grobs
+> result <- grid.grep("a", grep=TRUE, global=TRUE, vpPath=TRUE)
+> result
+[[1]]
+a.grob 
+
+> attr(result[[1]], "vpPath")
+[1] "a.vp"
+> 
+> ## 'viewports = TRUE' and 'vpPath = FALSE'
+> ## finds viewports and grobs (no vpPath)
+> result <- grid.grep("a", grep=TRUE, global=TRUE, viewports=TRUE, vpPath=FALSE)
+> result
+[[1]]
+a.vp 
+
+[[2]]
+a.grob 
+
+> attr(result[[2]], "vpPath")
+[1] ""
+> 
+> ###########################
+> ## global=FALSE versions
+> 
+> ## grob (no vpPath)
+> result <- grid.grep("a", grep=TRUE)
+> result
+a.grob 
+> attr(result, "vpPath")
+[1] ""
+> ## viewport (NULL vpPath)
+> result <- grid.grep("a", grep=TRUE, viewports=TRUE)
+> result
+a.vp 
+> attr(result, "vpPath")
+NULL
+> ## grob with vpPath
+> result <- grid.grep("a", grep=TRUE, vpPath=TRUE)
+> result
+a.grob 
+> attr(result, "vpPath")
+[1] "a.vp"
+> ## viewport (NULL vpPath)
+> result <- grid.grep("a", grep=TRUE, viewports=TRUE, vpPath=FALSE)
+> result
+a.vp 
+> attr(result, "vpPath")
+NULL
+> 
+> proc.time()
+   user  system elapsed 
+  0.270   0.046   0.300 
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/grid/tests/units.R
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/grid/tests/units.R	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/grid/tests/units.R	(revision 3761)
@@ -0,0 +1,180 @@
+
+library(grid)
+
+unitCheck <- function(u1, u2) {
+    stopifnot(identical(as.character(u1), as.character(u2)))
+}
+
+# Mixture of rep() arguments based on example(rep) examples
+
+# simple tests
+simpleUnit <- unit(1:4, "npc")
+
+unitCheck(rep(simpleUnit, 2),
+          unit(rep(1:4, 2), "npc"))
+unitCheck(rep(simpleUnit, each=2),
+          unit(rep(1:4, each=2), "npc"))
+unitCheck(rep(simpleUnit, c(2, 1, 2, 1)),
+          unit(rep(1:4, c(2, 1, 2, 1)), "npc"))
+unitCheck(rep(simpleUnit, each=2, length.out=4),
+          unit(rep(1:4, each=2, length.out=4), "npc"))
+unitCheck(rep(simpleUnit, each=2, length.out=10),
+          unit(rep(1:4, each=2, length.out=10), "npc"))
+unitCheck(rep(simpleUnit, each=2, times=3),
+          unit(rep(1:4, each=2, times=3), "npc"))
+
+simpleUnitMixed <- unit(1:4, c("npc", "cm"))
+
+unitCheck(rep(simpleUnitMixed, 2),
+          unit(rep(1:4, 2), c("npc", "cm")))
+unitCheck(rep(simpleUnitMixed, each=2),
+          unit(rep(1:4, each=2),
+               rep(c("npc", "cm"), each=2)))
+unitCheck(rep(simpleUnitMixed, c(2, 1, 2, 1)),
+          unit(rep(1:4, c(2, 1, 2, 1)),
+               rep(c("npc", "cm"), c(2, 1))))
+unitCheck(rep(simpleUnitMixed, each=2, length.out=4),
+          unit(rep(1:4, each=2, length.out=4),
+               rep(c("npc", "cm"), each=2, length.out=4)))
+unitCheck(rep(simpleUnitMixed, each=2, length.out=10),
+          unit(rep(1:4, each=2, length.out=10),
+               rep(c("npc", "cm"), each=2, length.out=10)))
+unitCheck(rep(simpleUnitMixed, each=2, times=3),
+          unit(rep(1:4, each=2, times=3),
+               rep(c("npc", "cm"), each=2, times=3)))
+
+units <- c("npc", "inch", "strwidth", "cm")
+dataL <- list(NULL, NULL, "test", NULL)
+unitWithData <- unit(1:4, units, data=dataL)
+unitCheck(rep(unitWithData, 2),
+          unit(rep(1:4, 2),
+               rep(units, 2),
+               rep(dataL, 2)))
+unitCheck(rep(unitWithData, each=2),
+          unit(rep(1:4, each=2),
+               rep(units, each=2),
+               rep(dataL, each=2)))
+unitCheck(rep(unitWithData, c(2, 1, 2, 1)),
+          unit(rep(1:4, c(2, 1, 2, 1)),
+               rep(units, c(2, 1, 2, 1)),
+               rep(dataL, c(2, 1, 2, 1))))
+unitCheck(rep(unitWithData, each=2, length.out=4),
+          unit(rep(1:4, each=2, length.out=4),
+               rep(units, each=2, length.out=4),
+               rep(dataL, each=2, length.out=4)))
+unitCheck(rep(unitWithData, each=2, length.out=10),
+          unit(rep(1:4, each=2, length.out=10),
+               rep(units, each=2, length.out=10),
+               rep(dataL, each=2, length.out=10)))
+unitCheck(rep(unitWithData, each=2, times=3),
+          unit(rep(1:4, each=2, times=3),
+               rep(units, each=2, times=3),
+               rep(dataL, each=2, times=3)))
+
+# unit.arithmetic
+unitArith <- unit(1, "npc") + unit(1:2, "inch")
+
+unitCheck(rep(unitArith, 2),
+          unit(1, "npc") + unit(rep(1:2, 2), "inch"))
+unitCheck(rep(unitArith, each=2),
+          unit(1, "npc") + unit(rep(1:2, each=2), "inch"))
+unitCheck(rep(unitArith, c(2, 1)),
+          unit(1, "npc") + unit(rep(1:2, c(2 ,1)), "inch"))
+unitCheck(rep(unitArith, each=2, length.out=3),
+          unit(1, "npc") + unit(rep(1:2, each=2, length.out=3), "inch"))
+unitCheck(rep(unitArith, each=2, length.out=5),
+          unit(1, "npc") + unit(rep(1:2, each=2, length.out=5), "inch"))
+unitCheck(rep(unitArith, each=2, times=3),
+          unit(1, "npc") + unit(rep(1:2, each=2, times=3), "inch"))
+
+# unit.list
+arg1 <- unit(1, "npc") + unit(1:2, "inch")
+arg2 <- unit(3, "cm")
+unitList <- unit.c(arg1, arg2)
+
+unitCheck(rep(unitList, 2),
+          unit.c(arg1, arg2, arg1, arg2))
+unitCheck(rep(unitList, each=2),
+          unit.c(rep(arg1, each=2), rep(arg2, 2)))
+unitCheck(rep(unitList, c(2, 1, 2)),
+          unit.c(rep(arg1, c(2, 1)), rep(arg2, 2)))
+unitCheck(rep(unitList, each=2, length.out=4),
+          rep(arg1, each=2))
+unitCheck(rep(unitList, each=2, length.out=8),
+          unit.c(rep(arg1, each=2), rep(arg2, 2), rep(arg1, each=2, length.out=2)))
+unitCheck(rep(unitList, each=2, times=3),
+          unit.c(rep(arg1, each=2), rep(arg2, 2),
+                 rep(arg1, each=2), rep(arg2, 2),
+                 rep(arg1, each=2), rep(arg2, 2)))
+
+# Special test
+# rep() unit.arithmetic where operands have different lengths
+uaDiffLength <- unit(1:2, "npc") + unit(1:3, "npc")
+uaSameLength <- unit(c(1, 2, 1), "npc") + unit(1:3, "npc")
+unitCheck(rep(uaDiffLength, 2),
+          rep(uaSameLength, 2))
+
+
+# Bug report PR#14170 test
+
+x <- unit.c(unit(5,"mm"),unit(3,"npc"))
+rep(x, 2)
+rep(x, each=2)
+rep(x, c(2, 2))
+
+x <- x - unit(1,"mm")
+rep(x, 2)
+rep(x, each=2)
+rep(x, c(2, 2))
+
+
+## grid::unit.pmax, PR#14443
+x <- unit(1, "cm")
+stopifnot(length(unit.pmax(x)) == 1L, length(unit.pmin(x)) == 1L)
+## was 3 in R <= 2.12.0
+
+# Unit subassignment
+a <- unit(1:3, c("cm", "in", "npc"))
+b <- a + unit(1, "npc")
+a[2] <- unit(2,"pt")
+b[2] <- unit(2,"npc")
+
+unitCheck(a, unit(1:3, c("cm", "pt", "npc")))
+unitCheck(b, unit.c(unit(1, "cm") + unit(1, "npc"),
+                    unit(2, "npc"),
+                    unit(3, "npc") + unit(1, "npc")))
+
+c <- unit(1:10, "mm")
+
+# assign to range
+c[5:9] <- unit(9:5, "pt")
+unitCheck(c, unit(c(1:4, 9:5, 10),
+                  c(rep("mm", 4), rep("pt", 5), "mm")))
+
+# recycle
+c[2:3] <- unit(1, "in") + unit(.5, "npc")
+unitCheck(c, unit.c(unit(1, "mm"),
+                    rep(unit(1, "in") + unit(.5, "npc"), 2),
+                    unit(4, "mm"),
+                    unit(9:5, "pt"),
+                    unit(10, "mm")))
+
+# recycle non-multiple
+c[6:8] <- stringWidth(c("a", "b"))
+unitCheck(c, unit.c(unit(1, "mm"),
+                    rep(unit(1, "in") + unit(.5, "npc"), 2),
+                    unit(4, "mm"),
+                    unit(9, "pt"),
+                    stringWidth(c("a", "b", "a")),
+                    unit(5, "pt"),
+                    unit(10, "mm")))
+
+## Bug fix for sum() of complex units
+u1 = 0.4*sum(unit(1, "inch"), unit(1, "mm"))
+u2 = 0.1*sum(unit(1, "inch"), unit(1, "mm"))
+unitCheck(u1 + u2,
+          0.5*sum(unit(1, "inch"), unit(1, "mm")))
+unitCheck(sum(u1, u2),
+          sum(unit(c(0.4, .4, .1, .1), c("in", "mm", "in", "mm"))))
+unitCheck(sum(unit.c(u1, u2)),
+          sum(unit(c(0.4, .4, .1, .1), c("in", "mm", "in", "mm"))))
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/grid/html/R.css
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/grid/html/R.css	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/grid/html/R.css	(revision 3761)
@@ -0,0 +1,120 @@
+@media screen {
+    .container {
+	padding-right: 10px;
+	padding-left: 10px;
+	margin-right: auto;
+	margin-left: auto;
+	max-width: 900px;
+    }
+}
+
+.rimage img { /* from knitr - for examples and demos */
+    width: 96%;
+    margin-left: 2%;
+} 	
+
+.katex { font-size: 1.1em; }
+
+code {
+    color: inherit;
+    background: inherit;
+}
+
+body {
+    line-height: 1.4;
+    background: white;
+    color: black;
+}
+
+a:link {
+    background: white;
+    color: blue;
+}
+
+a:visited {
+    background: white;
+    color: rgb(50%, 0%, 50%);
+}
+
+h1 {
+    background: white;
+    color: rgb(55%, 55%, 55%);
+    font-family: monospace;
+    font-size: 1.4em; /* x-large; */
+    text-align: center;
+}
+
+h2 {
+    background: white;
+    color: rgb(40%, 40%, 40%);
+    font-family: monospace;
+    font-size: 1.2em; /* large; */
+    text-align: center;
+}
+
+h3 {
+    background: white;
+    color: rgb(40%, 40%, 40%);
+    font-family: monospace;
+    font-size: 1.2em; /* large; */
+}
+
+h4 {
+    background: white;
+    color: rgb(40%, 40%, 40%);
+    font-family: monospace;
+    font-style: italic;
+    font-size: 1.2em; /* large; */
+}
+
+h5 {
+    background: white;
+    color: rgb(40%, 40%, 40%);
+    font-family: monospace;
+}
+
+h6 {
+    background: white;
+    color: rgb(40%, 40%, 40%);
+    font-family: monospace;
+    font-style: italic;
+}
+
+img.toplogo {
+    width: 4em;
+    vertical-align: middle;
+}
+
+img.arrow {
+    width: 30px;
+    height: 30px;
+    border: 0;
+}
+
+span.acronym {
+    font-size: small;
+}
+
+span.env {
+    font-family: monospace;
+}
+
+span.file {
+    font-family: monospace;
+}
+
+span.option{
+    font-family: monospace;
+}
+
+span.pkg {
+    font-weight: bold;
+}
+
+span.samp{
+    font-family: monospace;
+}
+
+div.vignettes a:hover {
+    background: rgb(85%, 85%, 85%);
+}
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/grid/html/00Index.html
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/grid/html/00Index.html	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/grid/html/00Index.html	(revision 3761)
@@ -0,0 +1,640 @@
+<!DOCTYPE html>
+<html>
+<head><title>R: The Grid Graphics Package</title>
+<meta http-equiv="Content-Type" content="text/html; charset=utf-8" />
+<meta name="viewport" content="width=device-width, initial-scale=1.0, user-scalable=yes" />
+<link rel="stylesheet" type="text/css" href="R.css" />
+</head><body><div class="container">
+<h1> The Grid Graphics Package
+<img class="toplogo" src="../../../doc/html/Rlogo.svg" alt="[R logo]" />
+</h1>
+<hr/>
+<div style="text-align: center;">
+<a href="../../../doc/html/packages.html"><img class="arrow" src="../../../doc/html/left.jpg" alt="[Up]" /></a>
+<a href="../../../doc/html/index.html"><img class="arrow" src="../../../doc/html/up.jpg" alt="[Top]" /></a>
+</div><h2>Documentation for package &lsquo;grid&rsquo; version 4.2.2</h2>
+
+<ul><li><a href="../DESCRIPTION">DESCRIPTION file</a>.</li>
+<li><a href="../doc/index.html">User guides, package vignettes and other documentation.</a></li>
+</ul>
+
+<h2>Help Pages</h2>
+
+
+<p style="text-align: center;">
+<a href="# "> </a>
+<a href="#A">A</a>
+<a href="#B">B</a>
+<a href="#C">C</a>
+<a href="#D">D</a>
+<a href="#E">E</a>
+<a href="#F">F</a>
+<a href="#G">G</a>
+<a href="#H">H</a>
+<a href="#I">I</a>
+<a href="#L">L</a>
+<a href="#M">M</a>
+<a href="#N">N</a>
+<a href="#P">P</a>
+<a href="#R">R</a>
+<a href="#S">S</a>
+<a href="#T">T</a>
+<a href="#U">U</a>
+<a href="#V">V</a>
+<a href="#W">W</a>
+<a href="#X">X</a>
+<a href="#Y">Y</a>
+</p>
+
+<table style="width: 100%;">
+<tr><td style="width: 25%;"><a href="grid-package.html">grid-package</a></td>
+<td>The Grid Graphics Package</td></tr>
+</table>
+
+<h2><a id="A">-- A --</a></h2>
+
+<table style="width: 100%;">
+<tr><td style="width: 25%;"><a href="absolute.size.html">absolute.size</a></td>
+<td>Absolute Size of a Grob</td></tr>
+<tr><td style="width: 25%;"><a href="grid.add.html">addGrob</a></td>
+<td>Add a Grid Graphical Object</td></tr>
+<tr><td style="width: 25%;"><a href="gEdit.html">applyEdit</a></td>
+<td>Create and Apply Edit Objects</td></tr>
+<tr><td style="width: 25%;"><a href="gEdit.html">applyEdits</a></td>
+<td>Create and Apply Edit Objects</td></tr>
+<tr><td style="width: 25%;"><a href="grid.curve.html">arcCurvature</a></td>
+<td>Draw a Curve Between Locations</td></tr>
+<tr><td style="width: 25%;"><a href="arrow.html">arrow</a></td>
+<td>Describe arrows to add to a line.</td></tr>
+<tr><td style="width: 25%;"><a href="as.mask.html">as.mask</a></td>
+<td>Define a Soft Mask</td></tr>
+<tr><td style="width: 25%;"><a href="grid.stroke.html">as.path</a></td>
+<td>Stroke or Fill a Path</td></tr>
+<tr><td style="width: 25%;"><a href="widthDetails.html">ascentDetails</a></td>
+<td>Width and Height of a grid grob</td></tr>
+</table>
+
+<h2><a id="B">-- B --</a></h2>
+
+<table style="width: 100%;">
+<tr><td style="width: 25%;"><a href="grid.bezier.html">bezierGrob</a></td>
+<td>Draw a Bezier Curve</td></tr>
+<tr><td style="width: 25%;"><a href="xsplinePoints.html">bezierPoints</a></td>
+<td>Return the points that would be used to draw an Xspline (or a Bezier curve).</td></tr>
+</table>
+
+<h2><a id="C">-- C --</a></h2>
+
+<table style="width: 100%;">
+<tr><td style="width: 25%;"><a href="calcStringMetric.html">calcStringMetric</a></td>
+<td>Calculate Metric Information for Text</td></tr>
+<tr><td style="width: 25%;"><a href="grid.grob.html">childNames</a></td>
+<td>Create Grid Graphical Objects, aka "Grob"s</td></tr>
+<tr><td style="width: 25%;"><a href="grid.circle.html">circleGrob</a></td>
+<td>Draw a Circle</td></tr>
+<tr><td style="width: 25%;"><a href="grid.clip.html">clipGrob</a></td>
+<td>Set the Clipping Region</td></tr>
+<tr><td style="width: 25%;"><a href="grid.convert.html">convertHeight</a></td>
+<td>Convert Between Different grid Coordinate Systems</td></tr>
+<tr><td style="width: 25%;"><a href="grid.convert.html">convertUnit</a></td>
+<td>Convert Between Different grid Coordinate Systems</td></tr>
+<tr><td style="width: 25%;"><a href="grid.convert.html">convertWidth</a></td>
+<td>Convert Between Different grid Coordinate Systems</td></tr>
+<tr><td style="width: 25%;"><a href="grid.convert.html">convertX</a></td>
+<td>Convert Between Different grid Coordinate Systems</td></tr>
+<tr><td style="width: 25%;"><a href="grid.convert.html">convertY</a></td>
+<td>Convert Between Different grid Coordinate Systems</td></tr>
+<tr><td style="width: 25%;"><a href="current.viewport.html">current.parent</a></td>
+<td>Get the Current Grid Viewport (Tree)</td></tr>
+<tr><td style="width: 25%;"><a href="current.viewport.html">current.rotation</a></td>
+<td>Get the Current Grid Viewport (Tree)</td></tr>
+<tr><td style="width: 25%;"><a href="current.viewport.html">current.transform</a></td>
+<td>Get the Current Grid Viewport (Tree)</td></tr>
+<tr><td style="width: 25%;"><a href="current.viewport.html">current.viewport</a></td>
+<td>Get the Current Grid Viewport (Tree)</td></tr>
+<tr><td style="width: 25%;"><a href="current.viewport.html">current.vpPath</a></td>
+<td>Get the Current Grid Viewport (Tree)</td></tr>
+<tr><td style="width: 25%;"><a href="current.viewport.html">current.vpTree</a></td>
+<td>Get the Current Grid Viewport (Tree)</td></tr>
+<tr><td style="width: 25%;"><a href="grid.curve.html">curveGrob</a></td>
+<td>Draw a Curve Between Locations</td></tr>
+</table>
+
+<h2><a id="D">-- D --</a></h2>
+
+<table style="width: 100%;">
+<tr><td style="width: 25%;"><a href="dataViewport.html">dataViewport</a></td>
+<td>Create a Viewport with Scales based on Data</td></tr>
+<tr><td style="width: 25%;"><a href="grid.group.html">defineGrob</a></td>
+<td>Draw a Group</td></tr>
+<tr><td style="width: 25%;"><a href="viewportTransform.html">defnRotate</a></td>
+<td>Define a Group Transformation</td></tr>
+<tr><td style="width: 25%;"><a href="viewportTransform.html">defnScale</a></td>
+<td>Define a Group Transformation</td></tr>
+<tr><td style="width: 25%;"><a href="viewportTransform.html">defnTranslate</a></td>
+<td>Define a Group Transformation</td></tr>
+<tr><td style="width: 25%;"><a href="grid.delay.html">delayGrob</a></td>
+<td>Encapsulate calculations and generating a grob</td></tr>
+<tr><td style="width: 25%;"><a href="depth.html">depth</a></td>
+<td>Determine the number of levels in an object.</td></tr>
+<tr><td style="width: 25%;"><a href="depth.html">depth.path</a></td>
+<td>Determine the number of levels in an object.</td></tr>
+<tr><td style="width: 25%;"><a href="depth.html">depth.viewport</a></td>
+<td>Determine the number of levels in an object.</td></tr>
+<tr><td style="width: 25%;"><a href="widthDetails.html">descentDetails</a></td>
+<td>Width and Height of a grid grob</td></tr>
+<tr><td style="width: 25%;"><a href="deviceLoc.html">deviceDim</a></td>
+<td>Convert Viewport Location to Device Location</td></tr>
+<tr><td style="width: 25%;"><a href="deviceLoc.html">deviceLoc</a></td>
+<td>Convert Viewport Location to Device Location</td></tr>
+<tr><td style="width: 25%;"><a href="viewports.html">downViewport</a></td>
+<td>Maintaining and Navigating the Grid Viewport Tree</td></tr>
+<tr><td style="width: 25%;"><a href="drawDetails.html">drawDetails</a></td>
+<td>Customising grid Drawing</td></tr>
+</table>
+
+<h2><a id="E">-- E --</a></h2>
+
+<table style="width: 100%;">
+<tr><td style="width: 25%;"><a href="editDetails.html">editDetails</a></td>
+<td>Customising grid Editing</td></tr>
+<tr><td style="width: 25%;"><a href="grid.edit.html">editGrob</a></td>
+<td>Edit the Description of a Grid Graphical Object</td></tr>
+<tr><td style="width: 25%;"><a href="editViewport.html">editViewport</a></td>
+<td>Modify a Viewport</td></tr>
+<tr><td style="width: 25%;"><a href="gridCoords.html">emptyCoords</a></td>
+<td>Create Sets of Coordinates for Grid Grobs</td></tr>
+<tr><td style="width: 25%;"><a href="gridCoords.html">emptyGrobCoords</a></td>
+<td>Create Sets of Coordinates for Grid Grobs</td></tr>
+<tr><td style="width: 25%;"><a href="gridCoords.html">emptyGTreeCoords</a></td>
+<td>Create Sets of Coordinates for Grid Grobs</td></tr>
+<tr><td style="width: 25%;"><a href="grid.display.list.html">engine.display.list</a></td>
+<td>Control the Grid Display List</td></tr>
+<tr><td style="width: 25%;"><a href="explode.html">explode</a></td>
+<td>Explode a path into its components.</td></tr>
+<tr><td style="width: 25%;"><a href="explode.html">explode.character</a></td>
+<td>Explode a path into its components.</td></tr>
+<tr><td style="width: 25%;"><a href="explode.html">explode.path</a></td>
+<td>Explode a path into its components.</td></tr>
+</table>
+
+<h2><a id="F">-- F --</a></h2>
+
+<table style="width: 100%;">
+<tr><td style="width: 25%;"><a href="grid.stroke.html">fillGrob</a></td>
+<td>Stroke or Fill a Path</td></tr>
+<tr><td style="width: 25%;"><a href="grid.stroke.html">fillGrob.GridPath</a></td>
+<td>Stroke or Fill a Path</td></tr>
+<tr><td style="width: 25%;"><a href="grid.stroke.html">fillGrob.grob</a></td>
+<td>Stroke or Fill a Path</td></tr>
+<tr><td style="width: 25%;"><a href="grid.stroke.html">fillStrokeGrob</a></td>
+<td>Stroke or Fill a Path</td></tr>
+<tr><td style="width: 25%;"><a href="grid.stroke.html">fillStrokeGrob.GridPath</a></td>
+<td>Stroke or Fill a Path</td></tr>
+<tr><td style="width: 25%;"><a href="grid.stroke.html">fillStrokeGrob.grob</a></td>
+<td>Stroke or Fill a Path</td></tr>
+<tr><td style="width: 25%;"><a href="grid.force.html">forceGrob</a></td>
+<td>Force a grob into its components</td></tr>
+<tr><td style="width: 25%;"><a href="grid.frame.html">frameGrob</a></td>
+<td>Create a Frame for Packing Objects</td></tr>
+<tr><td style="width: 25%;"><a href="grid.function.html">functionGrob</a></td>
+<td>Draw a curve representing a function</td></tr>
+</table>
+
+<h2><a id="G">-- G --</a></h2>
+
+<table style="width: 100%;">
+<tr><td style="width: 25%;"><a href="gEdit.html">gEdit</a></td>
+<td>Create and Apply Edit Objects</td></tr>
+<tr><td style="width: 25%;"><a href="gEdit.html">gEditList</a></td>
+<td>Create and Apply Edit Objects</td></tr>
+<tr><td style="width: 25%;"><a href="gpar.html">get.gpar</a></td>
+<td>Handling Grid Graphical Parameters</td></tr>
+<tr><td style="width: 25%;"><a href="grid.get.html">getGrob</a></td>
+<td>Get a Grid Graphical Object</td></tr>
+<tr><td style="width: 25%;"><a href="getNames.html">getNames</a></td>
+<td>List the names of grobs on the display list</td></tr>
+<tr><td style="width: 25%;"><a href="grid.grob.html">gList</a></td>
+<td>Create Grid Graphical Objects, aka "Grob"s</td></tr>
+<tr><td style="width: 25%;"><a href="gpar.html">gpar</a></td>
+<td>Handling Grid Graphical Parameters</td></tr>
+<tr><td style="width: 25%;"><a href="gPath.html">gPath</a></td>
+<td>Concatenate Grob Names</td></tr>
+<tr><td style="width: 25%;"><a href="Grid.html">Grid</a></td>
+<td>Grid Graphics</td></tr>
+<tr><td style="width: 25%;"><a href="grid.function.html">grid.abline</a></td>
+<td>Draw a curve representing a function</td></tr>
+<tr><td style="width: 25%;"><a href="grid.add.html">grid.add</a></td>
+<td>Add a Grid Graphical Object</td></tr>
+<tr><td style="width: 25%;"><a href="grid.bezier.html">grid.bezier</a></td>
+<td>Draw a Bezier Curve</td></tr>
+<tr><td style="width: 25%;"><a href="grid.cap.html">grid.cap</a></td>
+<td>Capture a raster image</td></tr>
+<tr><td style="width: 25%;"><a href="grid.circle.html">grid.circle</a></td>
+<td>Draw a Circle</td></tr>
+<tr><td style="width: 25%;"><a href="grid.clip.html">grid.clip</a></td>
+<td>Set the Clipping Region</td></tr>
+<tr><td style="width: 25%;"><a href="grid.copy.html">grid.copy</a></td>
+<td>Make a Copy of a Grid Graphical Object</td></tr>
+<tr><td style="width: 25%;"><a href="grid.curve.html">grid.curve</a></td>
+<td>Draw a Curve Between Locations</td></tr>
+<tr><td style="width: 25%;"><a href="grid.group.html">grid.define</a></td>
+<td>Draw a Group</td></tr>
+<tr><td style="width: 25%;"><a href="grid.delay.html">grid.delay</a></td>
+<td>Encapsulate calculations and generating a grob</td></tr>
+<tr><td style="width: 25%;"><a href="grid.display.list.html">grid.display.list</a></td>
+<td>Control the Grid Display List</td></tr>
+<tr><td style="width: 25%;"><a href="grid.DLapply.html">grid.DLapply</a></td>
+<td>Modify the Grid Display List</td></tr>
+<tr><td style="width: 25%;"><a href="grid.draw.html">grid.draw</a></td>
+<td>Draw a grid grob</td></tr>
+<tr><td style="width: 25%;"><a href="grid.edit.html">grid.edit</a></td>
+<td>Edit the Description of a Grid Graphical Object</td></tr>
+<tr><td style="width: 25%;"><a href="grid.stroke.html">grid.fill</a></td>
+<td>Stroke or Fill a Path</td></tr>
+<tr><td style="width: 25%;"><a href="grid.stroke.html">grid.fillStroke</a></td>
+<td>Stroke or Fill a Path</td></tr>
+<tr><td style="width: 25%;"><a href="grid.force.html">grid.force</a></td>
+<td>Force a grob into its components</td></tr>
+<tr><td style="width: 25%;"><a href="grid.force.html">grid.force.default</a></td>
+<td>Force a grob into its components</td></tr>
+<tr><td style="width: 25%;"><a href="grid.force.html">grid.force.gPath</a></td>
+<td>Force a grob into its components</td></tr>
+<tr><td style="width: 25%;"><a href="grid.force.html">grid.force.grob</a></td>
+<td>Force a grob into its components</td></tr>
+<tr><td style="width: 25%;"><a href="grid.frame.html">grid.frame</a></td>
+<td>Create a Frame for Packing Objects</td></tr>
+<tr><td style="width: 25%;"><a href="grid.function.html">grid.function</a></td>
+<td>Draw a curve representing a function</td></tr>
+<tr><td style="width: 25%;"><a href="grid.edit.html">grid.gedit</a></td>
+<td>Edit the Description of a Grid Graphical Object</td></tr>
+<tr><td style="width: 25%;"><a href="grid.get.html">grid.get</a></td>
+<td>Get a Grid Graphical Object</td></tr>
+<tr><td style="width: 25%;"><a href="grid.get.html">grid.gget</a></td>
+<td>Get a Grid Graphical Object</td></tr>
+<tr><td style="width: 25%;"><a href="grid.grab.html">grid.grab</a></td>
+<td>Grab the current grid output</td></tr>
+<tr><td style="width: 25%;"><a href="grid.grab.html">grid.grabExpr</a></td>
+<td>Grab the current grid output</td></tr>
+<tr><td style="width: 25%;"><a href="grid.remove.html">grid.gremove</a></td>
+<td>Remove a Grid Graphical Object</td></tr>
+<tr><td style="width: 25%;"><a href="grid.grep.html">grid.grep</a></td>
+<td>Search for Grobs and/or Viewports</td></tr>
+<tr><td style="width: 25%;"><a href="grid.grill.html">grid.grill</a></td>
+<td>Draw a Grill</td></tr>
+<tr><td style="width: 25%;"><a href="grid.group.html">grid.group</a></td>
+<td>Draw a Group</td></tr>
+<tr><td style="width: 25%;"><a href="grid.layout.html">grid.layout</a></td>
+<td>Create a Grid Layout</td></tr>
+<tr><td style="width: 25%;"><a href="legendGrob.html">grid.legend</a></td>
+<td>Constructing a Legend Grob</td></tr>
+<tr><td style="width: 25%;"><a href="grid.move.to.html">grid.line.to</a></td>
+<td>Move or Draw to a Specified Position</td></tr>
+<tr><td style="width: 25%;"><a href="grid.lines.html">grid.lines</a></td>
+<td>Draw Lines in a Grid Viewport</td></tr>
+<tr><td style="width: 25%;"><a href="grid.locator.html">grid.locator</a></td>
+<td>Capture a Mouse Click</td></tr>
+<tr><td style="width: 25%;"><a href="grid.ls.html">grid.ls</a></td>
+<td>List the names of grobs or viewports</td></tr>
+<tr><td style="width: 25%;"><a href="grid.move.to.html">grid.move.to</a></td>
+<td>Move or Draw to a Specified Position</td></tr>
+<tr><td style="width: 25%;"><a href="grid.newpage.html">grid.newpage</a></td>
+<td>Move to a New Page on a Grid Device</td></tr>
+<tr><td style="width: 25%;"><a href="grid.null.html">grid.null</a></td>
+<td>Null Graphical Object</td></tr>
+<tr><td style="width: 25%;"><a href="grid.pack.html">grid.pack</a></td>
+<td>Pack an Object within a Frame</td></tr>
+<tr><td style="width: 25%;"><a href="grid.path.html">grid.path</a></td>
+<td>Draw a Path</td></tr>
+<tr><td style="width: 25%;"><a href="grid.place.html">grid.place</a></td>
+<td>Place an Object within a Frame</td></tr>
+<tr><td style="width: 25%;"><a href="grid.plot.and.legend.html">grid.plot.and.legend</a></td>
+<td>A Simple Plot and Legend Demo</td></tr>
+<tr><td style="width: 25%;"><a href="grid.points.html">grid.points</a></td>
+<td>Draw Data Symbols</td></tr>
+<tr><td style="width: 25%;"><a href="grid.polygon.html">grid.polygon</a></td>
+<td>Draw a Polygon</td></tr>
+<tr><td style="width: 25%;"><a href="grid.lines.html">grid.polyline</a></td>
+<td>Draw Lines in a Grid Viewport</td></tr>
+<tr><td style="width: 25%;"><a href="grid.pretty.html">grid.pretty</a></td>
+<td>Generate a Sensible ("Pretty") Set of Breakpoints</td></tr>
+<tr><td style="width: 25%;"><a href="grid.raster.html">grid.raster</a></td>
+<td>Render a raster object</td></tr>
+<tr><td style="width: 25%;"><a href="grid.record.html">grid.record</a></td>
+<td>Encapsulate calculations and drawing</td></tr>
+<tr><td style="width: 25%;"><a href="grid.rect.html">grid.rect</a></td>
+<td>Draw rectangles</td></tr>
+<tr><td style="width: 25%;"><a href="grid.refresh.html">grid.refresh</a></td>
+<td>Refresh the current grid scene</td></tr>
+<tr><td style="width: 25%;"><a href="grid.remove.html">grid.remove</a></td>
+<td>Remove a Grid Graphical Object</td></tr>
+<tr><td style="width: 25%;"><a href="grid.reorder.html">grid.reorder</a></td>
+<td>Reorder the children of a gTree</td></tr>
+<tr><td style="width: 25%;"><a href="grid.force.html">grid.revert</a></td>
+<td>Force a grob into its components</td></tr>
+<tr><td style="width: 25%;"><a href="grid.force.html">grid.revert.gPath</a></td>
+<td>Force a grob into its components</td></tr>
+<tr><td style="width: 25%;"><a href="grid.force.html">grid.revert.grob</a></td>
+<td>Force a grob into its components</td></tr>
+<tr><td style="width: 25%;"><a href="grid.roundrect.html">grid.roundrect</a></td>
+<td>Draw a rectangle with rounded corners</td></tr>
+<tr><td style="width: 25%;"><a href="grid.segments.html">grid.segments</a></td>
+<td>Draw Line Segments</td></tr>
+<tr><td style="width: 25%;"><a href="grid.set.html">grid.set</a></td>
+<td>Set a Grid Graphical Object</td></tr>
+<tr><td style="width: 25%;"><a href="grid.show.layout.html">grid.show.layout</a></td>
+<td>Draw a Diagram of a Grid Layout</td></tr>
+<tr><td style="width: 25%;"><a href="grid.show.viewport.html">grid.show.viewport</a></td>
+<td>Draw a Diagram of a Grid Viewport</td></tr>
+<tr><td style="width: 25%;"><a href="grid.stroke.html">grid.stroke</a></td>
+<td>Stroke or Fill a Path</td></tr>
+<tr><td style="width: 25%;"><a href="grid.text.html">grid.text</a></td>
+<td>Draw Text</td></tr>
+<tr><td style="width: 25%;"><a href="grid.group.html">grid.use</a></td>
+<td>Draw a Group</td></tr>
+<tr><td style="width: 25%;"><a href="grid.xaxis.html">grid.xaxis</a></td>
+<td>Draw an X-Axis</td></tr>
+<tr><td style="width: 25%;"><a href="grid.xspline.html">grid.xspline</a></td>
+<td>Draw an Xspline</td></tr>
+<tr><td style="width: 25%;"><a href="grid.yaxis.html">grid.yaxis</a></td>
+<td>Draw a Y-Axis</td></tr>
+<tr><td style="width: 25%;"><a href="gridCoords.html">gridCoords</a></td>
+<td>Create Sets of Coordinates for Grid Grobs</td></tr>
+<tr><td style="width: 25%;"><a href="gridCoords.html">gridGrobCoords</a></td>
+<td>Create Sets of Coordinates for Grid Grobs</td></tr>
+<tr><td style="width: 25%;"><a href="gridCoords.html">gridGTreeCoords</a></td>
+<td>Create Sets of Coordinates for Grid Grobs</td></tr>
+<tr><td style="width: 25%;"><a href="grid.grob.html">grob</a></td>
+<td>Create Grid Graphical Objects, aka "Grob"s</td></tr>
+<tr><td style="width: 25%;"><a href="grobWidth.html">grobAscent</a></td>
+<td>Create a Unit Describing the Width of a Grob</td></tr>
+<tr><td style="width: 25%;"><a href="grobCoords.html">grobCoords</a></td>
+<td>Calculate Points on the Perimeter of a Grob</td></tr>
+<tr><td style="width: 25%;"><a href="grobWidth.html">grobDescent</a></td>
+<td>Create a Unit Describing the Width of a Grob</td></tr>
+<tr><td style="width: 25%;"><a href="grobWidth.html">grobHeight</a></td>
+<td>Create a Unit Describing the Width of a Grob</td></tr>
+<tr><td style="width: 25%;"><a href="grobName.html">grobName</a></td>
+<td>Generate a Name for a Grob</td></tr>
+<tr><td style="width: 25%;"><a href="grid.ls.html">grobPathListing</a></td>
+<td>List the names of grobs or viewports</td></tr>
+<tr><td style="width: 25%;"><a href="grobCoords.html">grobPoints</a></td>
+<td>Calculate Points on the Perimeter of a Grob</td></tr>
+<tr><td style="width: 25%;"><a href="grid.grob.html">grobTree</a></td>
+<td>Create Grid Graphical Objects, aka "Grob"s</td></tr>
+<tr><td style="width: 25%;"><a href="grobWidth.html">grobWidth</a></td>
+<td>Create a Unit Describing the Width of a Grob</td></tr>
+<tr><td style="width: 25%;"><a href="grobX.html">grobX</a></td>
+<td>Create a Unit Describing a Grob Boundary Location</td></tr>
+<tr><td style="width: 25%;"><a href="grobX.html">grobY</a></td>
+<td>Create a Unit Describing a Grob Boundary Location</td></tr>
+<tr><td style="width: 25%;"><a href="viewportTransform.html">groupFlip</a></td>
+<td>Define a Group Transformation</td></tr>
+<tr><td style="width: 25%;"><a href="grid.group.html">groupGrob</a></td>
+<td>Draw a Group</td></tr>
+<tr><td style="width: 25%;"><a href="viewportTransform.html">groupRotate</a></td>
+<td>Define a Group Transformation</td></tr>
+<tr><td style="width: 25%;"><a href="viewportTransform.html">groupScale</a></td>
+<td>Define a Group Transformation</td></tr>
+<tr><td style="width: 25%;"><a href="viewportTransform.html">groupShear</a></td>
+<td>Define a Group Transformation</td></tr>
+<tr><td style="width: 25%;"><a href="viewportTransform.html">groupTranslate</a></td>
+<td>Define a Group Transformation</td></tr>
+<tr><td style="width: 25%;"><a href="grid.grob.html">gTree</a></td>
+<td>Create Grid Graphical Objects, aka "Grob"s</td></tr>
+</table>
+
+<h2><a id="H">-- H --</a></h2>
+
+<table style="width: 100%;">
+<tr><td style="width: 25%;"><a href="widthDetails.html">heightDetails</a></td>
+<td>Width and Height of a grid grob</td></tr>
+</table>
+
+<h2><a id="I">-- I --</a></h2>
+
+<table style="width: 100%;">
+<tr><td style="width: 25%;"><a href="grid.grob.html">is.grob</a></td>
+<td>Create Grid Graphical Objects, aka "Grob"s</td></tr>
+<tr><td style="width: 25%;"><a href="gridCoords.html">isEmptyCoords</a></td>
+<td>Create Sets of Coordinates for Grid Grobs</td></tr>
+</table>
+
+<h2><a id="L">-- L --</a></h2>
+
+<table style="width: 100%;">
+<tr><td style="width: 25%;"><a href="legendGrob.html">legendGrob</a></td>
+<td>Constructing a Legend Grob</td></tr>
+<tr><td style="width: 25%;"><a href="patterns.html">linearGradient</a></td>
+<td>Define Gradient and Pattern Fills</td></tr>
+<tr><td style="width: 25%;"><a href="grid.lines.html">linesGrob</a></td>
+<td>Draw Lines in a Grid Viewport</td></tr>
+<tr><td style="width: 25%;"><a href="grid.move.to.html">lineToGrob</a></td>
+<td>Move or Draw to a Specified Position</td></tr>
+</table>
+
+<h2><a id="M">-- M --</a></h2>
+
+<table style="width: 100%;">
+<tr><td style="width: 25%;"><a href="makeContent.html">makeContent</a></td>
+<td>Customised grid Grobs</td></tr>
+<tr><td style="width: 25%;"><a href="makeContent.html">makeContext</a></td>
+<td>Customised grid Grobs</td></tr>
+<tr><td style="width: 25%;"><a href="grid.move.to.html">moveToGrob</a></td>
+<td>Move or Draw to a Specified Position</td></tr>
+</table>
+
+<h2><a id="N">-- N --</a></h2>
+
+<table style="width: 100%;">
+<tr><td style="width: 25%;"><a href="grid.ls.html">nestedListing</a></td>
+<td>List the names of grobs or viewports</td></tr>
+<tr><td style="width: 25%;"><a href="grid.null.html">nullGrob</a></td>
+<td>Null Graphical Object</td></tr>
+</table>
+
+<h2><a id="P">-- P --</a></h2>
+
+<table style="width: 100%;">
+<tr><td style="width: 25%;"><a href="grid.pack.html">packGrob</a></td>
+<td>Pack an Object within a Frame</td></tr>
+<tr><td style="width: 25%;"><a href="grid.path.html">pathGrob</a></td>
+<td>Draw a Path</td></tr>
+<tr><td style="width: 25%;"><a href="grid.ls.html">pathListing</a></td>
+<td>List the names of grobs or viewports</td></tr>
+<tr><td style="width: 25%;"><a href="patterns.html">pattern</a></td>
+<td>Define Gradient and Pattern Fills</td></tr>
+<tr><td style="width: 25%;"><a href="patterns.html">patterns</a></td>
+<td>Define Gradient and Pattern Fills</td></tr>
+<tr><td style="width: 25%;"><a href="grid.place.html">placeGrob</a></td>
+<td>Place an Object within a Frame</td></tr>
+<tr><td style="width: 25%;"><a href="plotViewport.html">plotViewport</a></td>
+<td>Create a Viewport with a Standard Plot Layout</td></tr>
+<tr><td style="width: 25%;"><a href="grid.points.html">pointsGrob</a></td>
+<td>Draw Data Symbols</td></tr>
+<tr><td style="width: 25%;"><a href="grid.polygon.html">polygonGrob</a></td>
+<td>Draw a Polygon</td></tr>
+<tr><td style="width: 25%;"><a href="grid.lines.html">polylineGrob</a></td>
+<td>Draw Lines in a Grid Viewport</td></tr>
+<tr><td style="width: 25%;"><a href="viewports.html">popViewport</a></td>
+<td>Maintaining and Navigating the Grid Viewport Tree</td></tr>
+<tr><td style="width: 25%;"><a href="drawDetails.html">postDrawDetails</a></td>
+<td>Customising grid Drawing</td></tr>
+<tr><td style="width: 25%;"><a href="drawDetails.html">preDrawDetails</a></td>
+<td>Customising grid Drawing</td></tr>
+<tr><td style="width: 25%;"><a href="viewports.html">pushViewport</a></td>
+<td>Maintaining and Navigating the Grid Viewport Tree</td></tr>
+</table>
+
+<h2><a id="R">-- R --</a></h2>
+
+<table style="width: 100%;">
+<tr><td style="width: 25%;"><a href="patterns.html">radialGradient</a></td>
+<td>Define Gradient and Pattern Fills</td></tr>
+<tr><td style="width: 25%;"><a href="grid.raster.html">rasterGrob</a></td>
+<td>Render a raster object</td></tr>
+<tr><td style="width: 25%;"><a href="grid.record.html">recordGrob</a></td>
+<td>Encapsulate calculations and drawing</td></tr>
+<tr><td style="width: 25%;"><a href="grid.rect.html">rectGrob</a></td>
+<td>Draw rectangles</td></tr>
+<tr><td style="width: 25%;"><a href="grid.remove.html">removeGrob</a></td>
+<td>Remove a Grid Graphical Object</td></tr>
+<tr><td style="width: 25%;"><a href="grid.reorder.html">reorderGrob</a></td>
+<td>Reorder the children of a gTree</td></tr>
+<tr><td style="width: 25%;"><a href="valid.just.html">resolveHJust</a></td>
+<td>Validate a Justification</td></tr>
+<tr><td style="width: 25%;"><a href="resolveRasterSize.html">resolveRasterSize</a></td>
+<td>Utility function to resolve the size of a raster grob</td></tr>
+<tr><td style="width: 25%;"><a href="valid.just.html">resolveVJust</a></td>
+<td>Validate a Justification</td></tr>
+<tr><td style="width: 25%;"><a href="grid.roundrect.html">roundrect</a></td>
+<td>Draw a rectangle with rounded corners</td></tr>
+<tr><td style="width: 25%;"><a href="grid.roundrect.html">roundrectGrob</a></td>
+<td>Draw a rectangle with rounded corners</td></tr>
+</table>
+
+<h2><a id="S">-- S --</a></h2>
+
+<table style="width: 100%;">
+<tr><td style="width: 25%;"><a href="viewports.html">seekViewport</a></td>
+<td>Maintaining and Navigating the Grid Viewport Tree</td></tr>
+<tr><td style="width: 25%;"><a href="grid.segments.html">segmentsGrob</a></td>
+<td>Draw Line Segments</td></tr>
+<tr><td style="width: 25%;"><a href="grid.add.html">setChildren</a></td>
+<td>Add a Grid Graphical Object</td></tr>
+<tr><td style="width: 25%;"><a href="grid.set.html">setGrob</a></td>
+<td>Set a Grid Graphical Object</td></tr>
+<tr><td style="width: 25%;"><a href="showGrob.html">showGrob</a></td>
+<td>Label grid grobs.</td></tr>
+<tr><td style="width: 25%;"><a href="showViewport.html">showViewport</a></td>
+<td>Display grid viewports.</td></tr>
+<tr><td style="width: 25%;"><a href="stringWidth.html">stringAscent</a></td>
+<td>Create a Unit Describing the Width and Height of a String or Math Expression</td></tr>
+<tr><td style="width: 25%;"><a href="stringWidth.html">stringDescent</a></td>
+<td>Create a Unit Describing the Width and Height of a String or Math Expression</td></tr>
+<tr><td style="width: 25%;"><a href="stringWidth.html">stringHeight</a></td>
+<td>Create a Unit Describing the Width and Height of a String or Math Expression</td></tr>
+<tr><td style="width: 25%;"><a href="stringWidth.html">stringWidth</a></td>
+<td>Create a Unit Describing the Width and Height of a String or Math Expression</td></tr>
+<tr><td style="width: 25%;"><a href="grid.stroke.html">strokeGrob</a></td>
+<td>Stroke or Fill a Path</td></tr>
+<tr><td style="width: 25%;"><a href="grid.stroke.html">strokeGrob.GridPath</a></td>
+<td>Stroke or Fill a Path</td></tr>
+<tr><td style="width: 25%;"><a href="grid.stroke.html">strokeGrob.grob</a></td>
+<td>Stroke or Fill a Path</td></tr>
+</table>
+
+<h2><a id="T">-- T --</a></h2>
+
+<table style="width: 100%;">
+<tr><td style="width: 25%;"><a href="grid.text.html">textGrob</a></td>
+<td>Draw Text</td></tr>
+</table>
+
+<h2><a id="U">-- U --</a></h2>
+
+<table style="width: 100%;">
+<tr><td style="width: 25%;"><a href="unit.html">unit</a></td>
+<td>Function to Create a Unit Object</td></tr>
+<tr><td style="width: 25%;"><a href="unit.c.html">unit.c</a></td>
+<td>Combine Unit Objects</td></tr>
+<tr><td style="width: 25%;"><a href="unit.length.html">unit.length</a></td>
+<td>Length of a Unit Object</td></tr>
+<tr><td style="width: 25%;"><a href="unit.pmin.html">unit.pmax</a></td>
+<td>Parallel Unit Minima and Maxima</td></tr>
+<tr><td style="width: 25%;"><a href="unit.pmin.html">unit.pmin</a></td>
+<td>Parallel Unit Minima and Maxima</td></tr>
+<tr><td style="width: 25%;"><a href="unit.pmin.html">unit.psum</a></td>
+<td>Parallel Unit Minima and Maxima</td></tr>
+<tr><td style="width: 25%;"><a href="unit.rep.html">unit.rep</a></td>
+<td>Replicate Elements of Unit Objects</td></tr>
+<tr><td style="width: 25%;"><a href="unitType.html">unitType</a></td>
+<td>Return the Units of a Unit Object</td></tr>
+<tr><td style="width: 25%;"><a href="viewports.html">upViewport</a></td>
+<td>Maintaining and Navigating the Grid Viewport Tree</td></tr>
+<tr><td style="width: 25%;"><a href="grid.group.html">useGrob</a></td>
+<td>Draw a Group</td></tr>
+<tr><td style="width: 25%;"><a href="viewportTransform.html">useRotate</a></td>
+<td>Define a Group Transformation</td></tr>
+<tr><td style="width: 25%;"><a href="viewportTransform.html">useScale</a></td>
+<td>Define a Group Transformation</td></tr>
+<tr><td style="width: 25%;"><a href="viewportTransform.html">useTranslate</a></td>
+<td>Define a Group Transformation</td></tr>
+</table>
+
+<h2><a id="V">-- V --</a></h2>
+
+<table style="width: 100%;">
+<tr><td style="width: 25%;"><a href="valid.just.html">valid.just</a></td>
+<td>Validate a Justification</td></tr>
+<tr><td style="width: 25%;"><a href="validDetails.html">validDetails</a></td>
+<td>Customising grid grob Validation</td></tr>
+<tr><td style="width: 25%;"><a href="viewport.html">viewport</a></td>
+<td>Create a Grid Viewport</td></tr>
+<tr><td style="width: 25%;"><a href="viewportTransform.html">viewportRotate</a></td>
+<td>Define a Group Transformation</td></tr>
+<tr><td style="width: 25%;"><a href="viewportTransform.html">viewportScale</a></td>
+<td>Define a Group Transformation</td></tr>
+<tr><td style="width: 25%;"><a href="viewportTransform.html">viewportTransform</a></td>
+<td>Define a Group Transformation</td></tr>
+<tr><td style="width: 25%;"><a href="viewportTransform.html">viewportTranslate</a></td>
+<td>Define a Group Transformation</td></tr>
+<tr><td style="width: 25%;"><a href="viewport.html">vpList</a></td>
+<td>Create a Grid Viewport</td></tr>
+<tr><td style="width: 25%;"><a href="vpPath.html">vpPath</a></td>
+<td>Concatenate Viewport Names</td></tr>
+<tr><td style="width: 25%;"><a href="viewport.html">vpStack</a></td>
+<td>Create a Grid Viewport</td></tr>
+<tr><td style="width: 25%;"><a href="viewport.html">vpTree</a></td>
+<td>Create a Grid Viewport</td></tr>
+</table>
+
+<h2><a id="W">-- W --</a></h2>
+
+<table style="width: 100%;">
+<tr><td style="width: 25%;"><a href="widthDetails.html">widthDetails</a></td>
+<td>Width and Height of a grid grob</td></tr>
+</table>
+
+<h2><a id="X">-- X --</a></h2>
+
+<table style="width: 100%;">
+<tr><td style="width: 25%;"><a href="grid.xaxis.html">xaxisGrob</a></td>
+<td>Draw an X-Axis</td></tr>
+<tr><td style="width: 25%;"><a href="xDetails.html">xDetails</a></td>
+<td>Boundary of a grid grob</td></tr>
+<tr><td style="width: 25%;"><a href="grid.xspline.html">xsplineGrob</a></td>
+<td>Draw an Xspline</td></tr>
+<tr><td style="width: 25%;"><a href="xsplinePoints.html">xsplinePoints</a></td>
+<td>Return the points that would be used to draw an Xspline (or a Bezier curve).</td></tr>
+</table>
+
+<h2><a id="Y">-- Y --</a></h2>
+
+<table style="width: 100%;">
+<tr><td style="width: 25%;"><a href="grid.yaxis.html">yaxisGrob</a></td>
+<td>Draw a Y-Axis</td></tr>
+<tr><td style="width: 25%;"><a href="xDetails.html">yDetails</a></td>
+<td>Boundary of a grid grob</td></tr>
+</table>
+</div></body></html>
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/grid/doc/viewports.Rnw
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/grid/doc/viewports.Rnw	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/grid/doc/viewports.Rnw	(revision 3761)
@@ -0,0 +1,337 @@
+% File src/library/grid/vignettes/viewports.Rnw
+% Part of the R package, https://www.R-project.org
+% Copyright 2001-13 Paul Murrell and the R Core Team
+% Distributed under GPL 2 or later
+
+\documentclass[a4paper]{article}
+
+\usepackage{Rd}
+
+% \VignetteIndexEntry{Working with viewports}
+
+\newcommand{\grid}{\pkg{grid}}
+\newcommand{\lattice}{\CRANpkg{lattice}}
+
+\setlength{\parindent}{0in}
+\setlength{\parskip}{.1in}
+\setlength{\textwidth}{140mm}
+\setlength{\oddsidemargin}{10mm}
+
+\title{Working with \grid{} Viewports}
+\author{Paul Murrell}
+
+\begin{document}
+\maketitle
+
+<<echo=FALSE, results=hide>>=
+library(grDevices)
+library(stats) # for runif()
+library(grid)
+ps.options(pointsize = 12)
+options(width = 60)
+@
+This document describes some features of \grid{} viewports which
+make it easy to travel back and forth between multiple regions
+on a device (without having to recreate those regions), and provides a
+mechanism for a complex plotting function to provide users with access
+to all of the regions created during plotting.
+
+\section*{The viewport tree}
+
+\grid{} maintains a
+tree of pushed viewports on each device.
+When the \code{upViewport()}
+function is called it works like \code{popViewport()} except that
+it does not remove viewports from the viewport tree.
+For example, the following code pushes a viewport, then navigates
+back up to the top level viewport and pushes another viewport,
+without removing the first viewport.
+
+<<>>=
+pushViewport(viewport())
+upViewport()
+pushViewport(viewport())
+@
+There are now two viewports pushed directly beneath the top-level
+viewport.  This immediately creates an ambiguity;  if I navigate
+back up to the top-level and attempt to revisit one of the
+viewports, how can I specify which one I want?  The answer is that
+viewports have a \code{name} argument\footnote{The print method
+for viewports shows the viewport name within square brackets.  Try
+typing \code{current.viewport()}.}.  This name, combined with
+the \code{downViewport()} function, makes it possible to
+navigate back down to viewports in the viewport tree.  Consider the
+following example, which pushes two viewports called \code{"A"} and
+\code{"B"}, then navigates to viewport \code{"A"} from the
+top level.
+
+<<echo=FALSE, results=hide>>=
+grid.newpage()
+
+<<>>=
+pushViewport(viewport(name = "A"))
+upViewport()
+pushViewport(viewport(name = "B"))
+upViewport()
+downViewport("A")
+@
+The \code{downViewport()} function searches down the tree from the
+current position in the tree.  The \code{seekViewport()}
+function is similar, but it always starts searching from the top-level
+viewport.  In the previous example we ended up in viewport
+\code{"A"};  the following command navigates from \code{"A"} to \code{"B"}
+in a single step.
+
+<<>>=
+seekViewport("B")
+@
+The function \code{current.vpTree()} provides a
+(textual) view of the current viewport tree.
+
+<<>>=
+current.vpTree()
+
+@
+\section*{Viewport stacks, lists, and trees}
+
+It is possible to create multiple viewport descriptions
+\emph{and their relationships}.  The functions
+\code{vpStack()}, \code{vpList()}, and
+\code{vpTree()} can be used to create a stack, a list, or a tree
+of viewport descriptions, respectively.  It is then possible to
+push these multiple descriptions at once;  viewports in a stack
+are pushed in series, viewports in  a list are pushed in parallel,
+and for a tree of viewports, the parent is pushed then the children
+are pushed in parallel.  The following simple
+example demonstrates one usage of this feature;  a \grid{} rectangle
+is drawn \emph{two} viewports below the current level by
+specifying a stack of viewports in its \code{vp} argument.
+
+
+<<vpstackguts>>=
+vp <- viewport(width = 0.5, height = 0.5)
+grid.rect(vp = vpStack(vp, vp))
+<<echo=FALSE, fig=TRUE>>=
+grid.rect(gp = gpar(col = "grey"))
+<<vpstackguts>>
+@
+\section*{Viewport paths}
+The previous example demonstrates a subtle feature of \grid{}'s viewport
+tree.  The same viewport, \emph{with the same name}, was pushed
+twice (in series).  This demonstrates that viewport names only
+have to be unique for viewports which share the same parent.
+This makes it possible, especially in repetitive plot arrangements,
+to reuse convenient viewport names.  For example, in a \lattice{}
+style plot, each panel could have a viewport called \code{"strip"}
+to represent the strip region.
+
+This design creates a further ambiguity because there may be
+more than one viewport with the same name within the viewport
+tree\footnote{\code{downViewport()} and \code{seekViewport()} will stop at the
+first match they find (the search is currently depth-first).}.
+This ambiguity can be resolved by using the \code{vpPath()}
+function to generate a specification of a stack of viewports
+that must be matched by name.  This path can be passed to
+either \code{downViewport()} or \code{seekViewport()} as in the
+following example;  notice that we are calling
+\code{current.vpTree(FALSE)} in order to see the current viewport
+tree \emph{only from the current viewport down}.
+
+<<echo=FALSE, results=hide>>=
+grid.newpage()
+
+<<>>=
+pushViewport(viewport(name = "A"))
+pushViewport(viewport(name = "B"))
+pushViewport(viewport(name = "A"))
+@
+
+When we do a seek on just \code{"A"}, we find the first \code{"A"}
+(just below the top-level viewport).
+
+<<>>=
+seekViewport("A")
+current.vpTree(FALSE)
+@
+By specifying a \code{vpPath}, we can get the \code{"A"} directly
+below viewport \code{"B"}.
+
+<<>>=
+seekViewport(vpPath("B", "A"))
+current.vpTree(FALSE)
+@
+A viewport path is conceptually just a concatenation of several
+names using a path separator (currently \code{::}).
+
+<<>>=
+vpPath("A", "B")
+@
+For interactive use, it is possible to specify the path as a simple
+string, but this is not recommended otherwise in case the path
+separator changes in future versions of \grid{}.  As an example, the
+following two commands are currently equivalent.
+
+<<eval=FALSE>>=
+seekViewport(vpPath("A", "B"))
+seekViewport("A::B")
+@
+\section*{An example}
+
+In this section, we consider a simple example to demonstrate
+how these new viewport features might be used together.
+The goal is to produce a simple scatterplot.  We will work
+with some random data.
+
+<<>>=
+x <- runif(10)
+y <- runif(10)
+@
+We will be establishing some scales appropriate for these data,
+so we calculate sensible ranges now.
+
+<<>>=
+xscale <- extendrange(x)
+yscale <- extendrange(y)
+@
+We now produce a set of viewports that will be useful in creating the
+plot.  The first viewport contains a layout to divide the drawing region
+into several rows and columns.  The left and right columns and top and
+bottom rows provide room for axes and labels, while the central cell provides
+a region for plotting the data.  The diagram below the code shows
+the layout that we create.
+
+<<>>=
+top.vp <-
+    viewport(layout=grid.layout(3, 3,
+             widths=unit(c(5, 1, 2), c("lines", "null", "lines")),
+             heights=unit(c(5, 1, 4), c("lines", "null", "lines"))))
+
+<<echo=FALSE, fig=TRUE>>=
+grid.show.layout(viewport.layout(top.vp))
+@
+
+Next we create a set of viewports which will occupy different areas within the
+layout, corresponding to the margins for axes and labels, and the plotting
+region.
+
+<<>>=
+margin1 <- viewport(layout.pos.col = 2, layout.pos.row = 3,
+                    name = "margin1")
+margin2 <- viewport(layout.pos.col = 1, layout.pos.row = 2,
+                    name = "margin2")
+margin3 <- viewport(layout.pos.col = 2, layout.pos.row = 1,
+                    name = "margin3")
+margin4 <- viewport(layout.pos.col = 3, layout.pos.row = 2,
+                    name = "margin4")
+plot <- viewport(layout.pos.col = 2, layout.pos.row = 2,
+                 name = "plot", xscale = xscale, yscale = yscale)
+@
+Notice that we have not pushed any of these viewports yet so no regions
+exist on the output device.  We first of all arrange the viewports into
+a tree structure, with  the \code{top.vp} as the parent node and
+all of the other viewports as its children.
+
+<<>>=
+splot <- vpTree(top.vp, vpList(margin1, margin2, margin3, margin4, plot))
+@
+Now we can push this entire tree of viewports in order to create all of the
+different areas within the drawing region that we need to draw the
+scatterplot.
+The result of this push is that we are left in the \code{plot} viewport.
+
+<<viewports>>=
+pushViewport(splot)
+@
+Now we can navigate to whichever viewport we require and draw the
+different elements of the plot\footnote{The named viewports that we created
+are drawn as grey rectangles as a guide.}.
+
+<<grid, echo=FALSE, eval=FALSE>>=
+labelvp <- function(name) {
+    seekViewport(name)
+    grid.rect(gp = gpar(col = "grey", lwd = 5))
+    grid.rect(x = 0, y = 1, width = unit(1, "strwidth", name) + unit(2, "mm"),
+              height = unit(1, "lines"), just = c("left", "top"),
+              gp = gpar(fill = "grey", col = NULL))
+    grid.text(name, x = unit(1, "mm"), y = unit(1, "npc") - unit(1, "mm"),
+              just = c("left", "top"), gp = gpar(col = "white"))
+}
+labelvp("plot")
+labelvp("margin1")
+labelvp("margin2")
+labelvp("margin3")
+labelvp("margin4")
+@
+The data symbols and axes are drawn relative to the plot region \ldots{}
+
+<<plot, eval=FALSE>>=
+seekViewport("plot")
+grid.points(x, y)
+grid.xaxis()
+grid.yaxis()
+grid.rect()
+@
+\ldots{} the x-axis label is drawn in margin 1 \ldots{}
+
+<<margin1, eval=FALSE>>=
+seekViewport("margin1")
+grid.text("Random X", y = unit(1, "lines"))
+@
+\ldots{} and the y-axis label is drawn in margin 2 (the final output
+is shown on the next page).
+
+<<margin2, eval=FALSE>>=
+seekViewport("margin2")
+grid.text("Random Y", x = unit(1, "lines"), rot = 90)
+
+<<echo=FALSE, results=hide, fig=TRUE>>=
+pushViewport(viewport(w = 0.9, h = 0.9))
+<<viewports>>
+<<grid>>
+<<plot>>
+<<margin1>>
+<<margin2>>
+@
+
+As a final step, we navigate back to the top-level viewport (i.e.,
+back to the viewport we started in)\footnote{Here we have used
+  \code{0} to indicate ``navigate to the top-level viewport''.  When
+  writing code that could be used by others (i.e., a graphical
+  component that could be embedded within something else), it would be
+  necessary to specify a precise number of viewports to navigate back
+  up.  In this case, the number would be {\tt} 2.  The
+  \code{downViewport()} function returns the number of viewports it
+  went down, so a general solution is of the form: \code{depth <-
+    downViewport("avp"); upViewport(depth)}.}.
+
+<<>>=
+upViewport(0)
+@
+So far this example has just shown
+an alternative way of constructing this sort of plot.  The output we have
+generated so far could have been done using \code{pushViewport()}
+and \code{popViewport()}.  The difference is that we still have
+all of the viewports in the \grid{} viewport tree (and they are addressable
+by name).  This means that a user can seek any of the viewports
+we used to construct the plot (by name) and add annotations or
+use \code{grid.locator()} or whatever.  For example, a user could
+use the following commands
+to add a title.
+
+<<annguts, eval=FALSE>>=
+seekViewport("margin3")
+grid.text("The user adds a title!", gp = gpar(fontsize = 20))
+
+<<echo=FALSE, results=hide, fig=TRUE>>=
+pushViewport(viewport(w = 0.9, h = 0.9))
+<<viewports>>
+<<grid>>
+<<plot>>
+<<margin1>>
+<<margin2>>
+<<annguts>>
+popViewport(0)
+@
+
+\end{document}
+
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/grid/doc/rotated.Rnw
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/grid/doc/rotated.Rnw	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/grid/doc/rotated.Rnw	(revision 3761)
@@ -0,0 +1,161 @@
+% File src/library/grid/vignettes/rotated.Rnw
+% Part of the R package, https://www.R-project.org
+% Copyright 2001-13 Paul Murrell and the R Core Team
+% Distributed under GPL 2 or later
+
+\documentclass[a4paper]{article}
+%\VignetteIndexEntry{Rotated Viewports}
+%\VignettePackage{grid}
+\newcommand{\code}[1]{\texttt{#1}}
+\newcommand{\pkg}[1]{{\normalfont\fontseries{b}\selectfont #1}}
+\newcommand{\grid}{\pkg{grid}}
+\newcommand{\R}{{\sffamily R}}
+\setlength{\parindent}{0in}
+\setlength{\parskip}{.1in}
+\setlength{\textwidth}{140mm}
+\setlength{\oddsidemargin}{10mm}
+\title{Rotated Viewports}
+\author{Paul Murrell}
+
+\begin{document}
+\maketitle
+
+<<echo=FALSE, results=hide>>=
+library(grDevices)
+library(graphics) # for boxplot
+library(stats) # for rnorm
+library(grid)
+ps.options(pointsize = 12)
+options(width = 60)
+@
+It is possible to specify an angle of rotation for a Grid viewport.
+For example, the following code draws the example multipanel plot
+at an angle of $15^\circ$.
+
+<<fig=TRUE, results=hide>>=
+pushViewport(viewport(h = .8, w = .8, angle = 15))
+grid.multipanel(newpage = FALSE)
+popViewport()
+@
+
+\vspace{.5in}
+A more complicated example is now developed.  First of all we
+generate some data to plot; an $x$ and a $y$ with an obvious correlation.
+
+<<complex1, results=hide>>=
+x <- rnorm(50)
+y <- x + rnorm(50, 1, 2)
+@
+\noindent
+Next we generate some statistics from the data.
+
+<<complex2, results=hide>>=
+# We will extend the axes over the entire region so
+# extrapolate scale from main data region
+scale <- extendrange(r = range(x,y))
+extscale <- c(min(scale), max(scale)+diff(scale)*1/3)
+@
+\noindent
+Now generate a layout of regions:  a 3" by 3" region for a
+scatterplot, inside a 4" by 4" region.
+
+<<complex3, results=hide>>=
+lay <- grid.layout(2, 2,
+                   widths = unit(c(3, 1), "inches"),
+                   heights = unit(c(1, 3), "inches"))
+vp1 <- viewport(width = unit(4, "inches"), height = unit(4, "inches"),
+                layout = lay, xscale = extscale, yscale = extscale)
+@
+\noindent
+We draw a box around the outside and axes on the entire region.
+
+<<complex4, results=hide>>=
+grid.newpage()
+pushViewport(vp1)
+grid.rect()
+grid.xaxis()
+grid.text("Test", y = unit(-3, "lines"))
+grid.yaxis()
+grid.text("Retest", x = unit(-3, "lines"), rot = 90)
+@
+\noindent
+We draw points within the interior region.
+
+<<complex5, results=hide>>=
+vp2 <- viewport(layout.pos.row = 2, layout.pos.col = 1,
+                xscale = scale, yscale = scale)
+pushViewport(vp2)
+grid.lines()
+grid.points(x, y, gp = gpar(col = "blue"))
+popViewport()
+@
+\noindent
+Now we use a rotated viewport to draw a boxplot which indicates
+the distribution of the distances between the points in the scatterplot
+and the line $y = x$\footnote{This may look like a large amount of
+code, but that's mostly because its doing a boxplot by hand
+rather than using a predefined high-level function.}.
+
+The final output is shown on the last page.
+
+<<complex6, results=hide>>=
+diffs <- (y - x)
+rdiffs <- range(diffs)
+ddiffs <- diff(rdiffs)
+bxp <- boxplot(diffs, plot = FALSE)
+vp3 <- viewport(x = unit(3, "inches"),
+                y = unit(3, "inches"),
+                width = unit(.5, "inches"),
+                # NOTE that the axis on the boxplot represents
+                # actual (y - x) values BUT to make
+                # the bits of the boxplot line
+                # up with the data points we have to plot
+                # (y - x)/sqrt(2)
+                # Hence the sin(pi/4) below
+                height = unit(ddiffs*sin(pi/4)/diff(scale)*3, "inches"),
+                just = c("centre", "center"),
+                angle = 45,
+	        gp = gpar(col = "red"),
+                yscale = c(-ddiffs/2, ddiffs/2))
+pushViewport(vp3)
+left <- -.3
+width <- .8
+middle <- left + width/2
+grid.rect(x = left, y = unit(bxp$conf[1,1], "native"),
+          width = width, height = unit(diff(bxp$conf[,1]), "native"),
+          just = c("left", "bottom"),
+	  gp = gpar(col = NULL, fill = "orange"))
+grid.rect(x = left, y = unit(bxp$stats[4,1], "native"),
+          width = width, height = unit(diff(bxp$stats[4:3,1]), "native"),
+          just = c("left", "bottom"))
+grid.rect(x = left, y = unit(bxp$stats[3,1], "native"),
+          width = width, height = unit(diff(bxp$stats[3:2,1]), "native"),
+          just = c("left", "bottom"))
+grid.lines(x = c(middle, middle), y = unit(bxp$stats[1:2,1], "native"))
+grid.lines(x = c(middle, middle), y = unit(bxp$stats[4:5,1], "native"))
+grid.lines(x = c(middle-.1, middle+.1), y = unit(bxp$stats[1,1], "native"))
+grid.lines(x = c(middle-.1, middle+.1), y = unit(bxp$stats[5,1], "native"))
+np <- length(bxp$out)
+if (np > 0)
+  grid.points(x = rep(middle, np), y = unit(bxp$out, "native"))
+grid.yaxis(main = FALSE)
+popViewport(2)
+
+<<echo=FALSE, fig=TRUE, results=hide>>=
+<<complex1>>
+<<complex2>>
+<<complex3>>
+<<complex4>>
+<<complex5>>
+<<complex6>>
+@
+\section*{Problems}
+
+\begin{enumerate}
+\item Data symbols will not be affected by the angle of rotation.  For
+  round data symbols this does not matter, but it will make just about
+  everything else look pretty odd.
+\end{enumerate}
+
+@
+\end{document}
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/grid/doc/locndimn.Rnw
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/grid/doc/locndimn.Rnw	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/grid/doc/locndimn.Rnw	(revision 3761)
@@ -0,0 +1,122 @@
+% File src/library/grid/vignettes/locndimn.Rnw
+% Part of the R package, https://www.R-project.org
+% Copyright 2001-13 Paul Murrell and the R Core Team
+% Distributed under GPL 2 or later
+
+\documentclass[a4paper]{article}
+%\VignetteIndexEntry{Locations versus Dimensions}
+%\VignettePackage{grid}
+\setlength{\parindent}{0in}
+\setlength{\parskip}{.1in}
+\setlength{\textwidth}{140mm}
+\setlength{\oddsidemargin}{10mm}
+
+\newcommand{\code}[1]{\texttt{#1}}
+\newcommand{\pkg}[1]{{\normalfont\fontseries{b}\selectfont #1}}
+\newcommand{\grid}{\pkg{grid}}
+
+\title{The difference between Locations and Dimensions in \grid{}}
+\author{Paul Murrell}
+
+\begin{document}
+
+\maketitle
+
+<<echo=FALSE, results=hide>>=
+library(grDevices)
+library(grid)
+ps.options(pointsize = 12)
+options(width = 60)
+@
+\grid{} makes use of unit objects to express both the locations and
+dimensions of graphical components.  For example, the \code{grid.rect()}
+function treats its x- and y-arguments as locations within the current
+viewport, and its width- and height-arguments as dimensions within the
+current viewport.
+
+These different interpretations of units are usually implicit like this;
+if its an x- or y-value then its a location, if its a width- or height-value
+then its a dimension.
+
+The distinction is made at all because, in some coordinate systems, notably
+\code{"native"} coordinates, the location $x$ can have a very different
+meaning
+from the dimension $x$ -- basically, whenever the minimum value of the
+coordinate system is not zero.
+
+In the specification of simple units, the difference between locations
+and dimensions is often not noticeable.  However, there are a couple
+of tricky areas:
+
+\begin{enumerate}
+\item When adding (or performing any arithmetic operation on) units,
+it is important to keep in mind that locations are added like vectors
+and dimensions are added like lengths.  The following
+diagram demonstrates the difference:
+
+<<fig=TRUE, echo=FALSE, results=hide>>=
+diagram.locn <- function(i, n, locn) {
+  x <- i/(n+1)
+  grid.lines(x = unit(rep(x, 2), "npc"),
+             y = unit.c(unit(0, "npc"), locn))
+  grid.lines(x = unit(x, "npc") + unit(c(-2, 0, 2), "mm"),
+             y = locn + unit(c(-2, 0, -2), "mm"))
+  grid.text(paste(as.character(locn), "as a location"),
+            x = unit(x, "npc") - unit(1, "mm"),
+            y = locn - unit(3, "mm"),
+            just = c("right", "bottom"),
+            rot = 90)
+}
+diagram.dimn <- function(i, n, dimn) {
+  x <- i/(n+1)
+  pushViewport(viewport(x = unit(x, "npc"), y = unit(0, "native"),
+            h = dimn, w = unit(1, "lines"), just = c("centre", "bottom")))
+  grid.rect()
+  grid.text(paste(as.character(dimn), "as a dimension"),
+            rot = 90)
+  popViewport()
+}
+pushViewport(viewport(w = 0.8, y=unit(1.7, "inches"),
+                      h = unit(4, "inches"),
+                      just = c("centre", "bottom"),
+                      yscale = c(-0.6, 1.3)))
+grid.grill(v = c(0, 1), h = seq(-0.5, 1, 0.5), default.units = "native")
+grid.rect()
+grid.yaxis()
+n <- 10
+diagram.locn(1, n, unit(1, "native"))
+diagram.locn(2, n, unit(-0.4, "native"))
+diagram.locn(3, n, unit(0.4, "native"))
+diagram.locn(4, n, unit(1, "native") + unit(-0.4, "native"))
+diagram.locn(5, n, unit(1, "native") - unit(0.4, "native"))
+diagram.dimn(6, n, unit(1, "native"))
+diagram.dimn(7, n, unit(-0.4, "native"))
+diagram.dimn(8, n, unit(0.4, "native"))
+diagram.dimn(9, n, unit(1, "native") + unit(-0.4, "native"))
+diagram.dimn(10, n, unit(1, "native") - unit(0.4, "native"))
+@
+\item The functions \code{convertX},
+\code{convertY}, \code{convertWidth}, \code{convertHeight}
+  are used to convert from one coordinate system to another.
+Again, it is important whether the conversion is for a location or
+for a dimension.
+The following code
+demonstrates some results from these functions based on a similar
+situation to that in the preceding diagram:
+
+<<fig=FALSE>>=
+pushViewport(viewport(yscale = c(-0.6, 1.3)))
+# Unexpected results?
+convertY(unit(1,'native'), "native")
+convertY(unit(-.4,'native'), "native")
+convertY(unit(1,'native')+unit(-.4,'native'), "native")
+convertY(unit(1,'native')-unit(.4,'native'), "native")
+# Expected results
+convertHeight(unit(1,'native'), "native")
+convertHeight(unit(-.4,'native'), "native")
+convertHeight(unit(1,'native')+unit(-.4,'native'), "native")
+convertHeight(unit(1,'native')-unit(.4,'native'), "native")
+popViewport()
+@
+\end{enumerate}
+\end{document}
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/grid/doc/displaylist.pdf
===================================================================
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Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/grid/doc/index.html
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+<!DOCTYPE html>
+<html>
+<head><title>R: Vignettes and other documentation</title>
+<meta http-equiv="Content-Type" content="text/html; charset=utf-8" />
+<meta name="viewport" content="width=device-width, initial-scale=1.0, user-scalable=yes" />
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+<h1> Vignettes and other documentation
+<img class="toplogo" src="/doc/html/Rlogo.svg" alt="[R logo]" />
+</h1>
+<hr/>
+<div style="text-align: center;">
+<a href="/doc/html/index.html"><img class="arrow" src="/doc/html/up.jpg" alt="[Top]" /></a>
+</div>
+<h2>Vignettes from package 'grid'</h2>
+<table style="width: 100%;">
+<col style="width: 22%;" />
+<col style="width:  2%;" />
+<col style="width: 50%;" />
+<col style="width:  8%;" />
+<col style="width:  8%;" />
+<col style="width:  8%;" />
+<tr><td style="text-align: right; vertical-align: top;"><a href="../../../library/grid/doc/displaylist.pdf">grid::displaylist</a></td>
+<td></td><td style="vertical-align: top;">Display Lists in grid</td>
+<td style="vertical-align: top;"><a href="../../../library/grid/doc/displaylist.pdf">PDF</a></td>
+<td style="vertical-align: top;"><a href="../../../library/grid/doc/displaylist.Rnw">source</a></td>
+<td style="vertical-align: top; white-space: nowrap"><a href="../../../library/grid/doc/displaylist.R">R code</a></td></tr>
+<tr><td style="text-align: right; vertical-align: top;"><a href="../../../library/grid/doc/frame.pdf">grid::frame</a></td>
+<td></td><td style="vertical-align: top;">Frames and packing grobs</td>
+<td style="vertical-align: top;"><a href="../../../library/grid/doc/frame.pdf">PDF</a></td>
+<td style="vertical-align: top;"><a href="../../../library/grid/doc/frame.Rnw">source</a></td>
+<td style="vertical-align: top; white-space: nowrap"><a href="../../../library/grid/doc/frame.R">R code</a></td></tr>
+<tr><td style="text-align: right; vertical-align: top;"><a href="../../../library/grid/doc/grid.pdf">grid::grid</a></td>
+<td></td><td style="vertical-align: top;">Introduction to grid</td>
+<td style="vertical-align: top;"><a href="../../../library/grid/doc/grid.pdf">PDF</a></td>
+<td style="vertical-align: top;"><a href="../../../library/grid/doc/grid.Rnw">source</a></td>
+<td style="vertical-align: top; white-space: nowrap"><a href="../../../library/grid/doc/grid.R">R code</a></td></tr>
+<tr><td style="text-align: right; vertical-align: top;"><a href="../../../library/grid/doc/grobs.pdf">grid::grobs</a></td>
+<td></td><td style="vertical-align: top;">Working with grid grobs</td>
+<td style="vertical-align: top;"><a href="../../../library/grid/doc/grobs.pdf">PDF</a></td>
+<td style="vertical-align: top;"><a href="../../../library/grid/doc/grobs.Rnw">source</a></td>
+<td style="vertical-align: top; white-space: nowrap"><a href="../../../library/grid/doc/grobs.R">R code</a></td></tr>
+<tr><td style="text-align: right; vertical-align: top;"><a href="../../../library/grid/doc/interactive.pdf">grid::interactive</a></td>
+<td></td><td style="vertical-align: top;">Editing grid Graphics</td>
+<td style="vertical-align: top;"><a href="../../../library/grid/doc/interactive.pdf">PDF</a></td>
+<td style="vertical-align: top;"><a href="../../../library/grid/doc/interactive.Rnw">source</a></td>
+<td style="vertical-align: top; white-space: nowrap"><a href="../../../library/grid/doc/interactive.R">R code</a></td></tr>
+<tr><td style="text-align: right; vertical-align: top;"><a href="../../../library/grid/doc/locndimn.pdf">grid::locndimn</a></td>
+<td></td><td style="vertical-align: top;">Locations versus Dimensions</td>
+<td style="vertical-align: top;"><a href="../../../library/grid/doc/locndimn.pdf">PDF</a></td>
+<td style="vertical-align: top;"><a href="../../../library/grid/doc/locndimn.Rnw">source</a></td>
+<td style="vertical-align: top; white-space: nowrap"><a href="../../../library/grid/doc/locndimn.R">R code</a></td></tr>
+<tr><td style="text-align: right; vertical-align: top;"><a href="../../../library/grid/doc/moveline.pdf">grid::moveline</a></td>
+<td></td><td style="vertical-align: top;">Demonstrating move-to and line-to</td>
+<td style="vertical-align: top;"><a href="../../../library/grid/doc/moveline.pdf">PDF</a></td>
+<td style="vertical-align: top;"><a href="../../../library/grid/doc/moveline.Rnw">source</a></td>
+<td style="vertical-align: top; white-space: nowrap"><a href="../../../library/grid/doc/moveline.R">R code</a></td></tr>
+<tr><td style="text-align: right; vertical-align: top;"><a href="../../../library/grid/doc/nonfinite.pdf">grid::nonfinite</a></td>
+<td></td><td style="vertical-align: top;">Non-finite values</td>
+<td style="vertical-align: top;"><a href="../../../library/grid/doc/nonfinite.pdf">PDF</a></td>
+<td style="vertical-align: top;"><a href="../../../library/grid/doc/nonfinite.Rnw">source</a></td>
+<td style="vertical-align: top; white-space: nowrap"><a href="../../../library/grid/doc/nonfinite.R">R code</a></td></tr>
+<tr><td style="text-align: right; vertical-align: top;"><a href="../../../library/grid/doc/plotexample.pdf">grid::plotexample</a></td>
+<td></td><td style="vertical-align: top;">Writing grid Code</td>
+<td style="vertical-align: top;"><a href="../../../library/grid/doc/plotexample.pdf">PDF</a></td>
+<td style="vertical-align: top;"><a href="../../../library/grid/doc/plotexample.Rnw">source</a></td>
+<td style="vertical-align: top; white-space: nowrap"><a href="../../../library/grid/doc/plotexample.R">R code</a></td></tr>
+<tr><td style="text-align: right; vertical-align: top;"><a href="../../../library/grid/doc/rotated.pdf">grid::rotated</a></td>
+<td></td><td style="vertical-align: top;">Rotated Viewports</td>
+<td style="vertical-align: top;"><a href="../../../library/grid/doc/rotated.pdf">PDF</a></td>
+<td style="vertical-align: top;"><a href="../../../library/grid/doc/rotated.Rnw">source</a></td>
+<td style="vertical-align: top; white-space: nowrap"><a href="../../../library/grid/doc/rotated.R">R code</a></td></tr>
+<tr><td style="text-align: right; vertical-align: top;"><a href="../../../library/grid/doc/saveload.pdf">grid::saveload</a></td>
+<td></td><td style="vertical-align: top;">Persistent representations</td>
+<td style="vertical-align: top;"><a href="../../../library/grid/doc/saveload.pdf">PDF</a></td>
+<td style="vertical-align: top;"><a href="../../../library/grid/doc/saveload.Rnw">source</a></td>
+<td style="vertical-align: top; white-space: nowrap"><a href="../../../library/grid/doc/saveload.R">R code</a></td></tr>
+<tr><td style="text-align: right; vertical-align: top;"><a href="../../../library/grid/doc/sharing.pdf">grid::sharing</a></td>
+<td></td><td style="vertical-align: top;">Modifying multiple grobs simultaneously</td>
+<td style="vertical-align: top;"><a href="../../../library/grid/doc/sharing.pdf">PDF</a></td>
+<td style="vertical-align: top;"><a href="../../../library/grid/doc/sharing.Rnw">source</a></td>
+<td style="vertical-align: top; white-space: nowrap"><a href="../../../library/grid/doc/sharing.R">R code</a></td></tr>
+<tr><td style="text-align: right; vertical-align: top;"><a href="../../../library/grid/doc/viewports.pdf">grid::viewports</a></td>
+<td></td><td style="vertical-align: top;">Working with viewports</td>
+<td style="vertical-align: top;"><a href="../../../library/grid/doc/viewports.pdf">PDF</a></td>
+<td style="vertical-align: top;"><a href="../../../library/grid/doc/viewports.Rnw">source</a></td>
+<td style="vertical-align: top; white-space: nowrap"><a href="../../../library/grid/doc/viewports.R">R code</a></td></tr>
+</table>
+<h2>Other files in the <span class="samp">doc</span> directory</h2>
+<table style="width: 100%;">
+<col style="width: 24%;" />
+<col style="width: 50%;" />
+<col style="width: 24%;" />
+<tr><td></td><td><span class="samp"><a href="DivByZero.txt">DivByZero.txt</a></span></td></tr>
+<tr><td></td><td><span class="samp"><a href="changes.txt">changes.txt</a></span></td></tr>
+</table>
+</div></body></html>
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/grid/doc/locndimn.pdf
===================================================================
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Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/grid/doc/moveline.R
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/grid/doc/moveline.R	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/grid/doc/moveline.R	(revision 3761)
@@ -0,0 +1,30 @@
+### R code from vignette source 'moveline.Rnw'
+
+###################################################
+### code chunk number 1: moveline.Rnw:24-28
+###################################################
+library(grDevices)
+library(grid)
+ps.options(pointsize = 12)
+options(width = 60)
+
+
+###################################################
+### code chunk number 2: fig
+###################################################
+pushViewport(
+    viewport(w = 0.8, h = 0.8,
+             layout = grid.layout(1, 3,
+                                  widths = unit(rep(1, 3),
+                                  c("null", "inches", "null")))))
+pushViewport(viewport(layout.pos.col = 1, yscale = c(0, 4)))
+grid.grill(); grid.yaxis(); grid.xaxis()
+grid.points(0.5, unit(2, "native"))
+grid.move.to(0.5, unit(2,"native"))
+popViewport()
+pushViewport(viewport(layout.pos.col = 3, yscale = c(0, 2)))
+grid.grill(); grid.yaxis(); grid.xaxis()
+grid.points(0.5, unit(2, "native"))
+grid.line.to(0.5, unit(2,"native"))
+
+
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/grid/doc/grobs.Rnw
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/grid/doc/grobs.Rnw	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/grid/doc/grobs.Rnw	(revision 3761)
@@ -0,0 +1,487 @@
+% File src/library/grid/vignettes/grobs.Rnw
+% Part of the R package, https://www.R-project.org
+% Copyright 2001-13 Paul Murrell and the R Core Team
+% Distributed under GPL 2 or later
+
+\documentclass[a4paper]{article}
+
+\usepackage{Rd}
+
+% \VignetteIndexEntry{Working with grid grobs}
+% \VignettePackage{grid}
+
+\newcommand{\grid}{\pkg{grid}}
+\newcommand{\grob}{\code{grob}}
+\newcommand{\gTree}{\code{gTree}}
+\newcommand{\gPath}{\code{gPath}}
+\newcommand{\lattice}{\CRANpkg{lattice}}
+
+\setlength{\parindent}{0in}
+\setlength{\parskip}{.1in}
+\setlength{\textwidth}{140mm}
+\setlength{\oddsidemargin}{10mm}
+
+\title{Modifying \grid{} \code{grob}s}
+\author{Paul Murrell}
+
+\begin{document}
+\maketitle
+
+<<echo=FALSE, results=hide>>=
+library(grDevices)
+library(grid)
+ps.options(pointsize = 12)
+options(width = 60)
+@
+There is a distinction between \grob{}s which are just stored
+in user-level \R{} objects and \grob{}s which represent
+drawn output (i.e., \grob{}s on the \grid{} display list).
+There is a naming convention that \code{grid.*()}  functions are
+(mainly) used for their side-effect of producing output or
+modifying existing output (they create/affect \grob{}s on the display list).
+Functions of the form \code{*Grob()} are used for their return value;
+the \grob{} that they create/modify.
+For example, the following creates a \grob{} and then modifies it, but
+performs absolutely no drawing;  this is purely manipulating a
+description of a graphical object.
+
+<<>>=
+gl <- linesGrob()
+gl <- editGrob(gl, gp = gpar(col = "green"))
+@
+
+The next example produces output.  A \grob{} is returned,
+but that \grob{} is just a description of the output that was drawn
+and has no direct link to the output.  It is possible to access the
+grob representing the output by
+using the \grob{}'s \code{name}.  In order to access a \grob{}
+which represents drawn output (i.e., a \grob{} on the display list),
+you must specify a \gPath{}.  The \gPath{} should be created using the
+\code{gPath()} function for writing scripts, but in interactive use, it
+is possible to specify the \gPath{} directly as a string.  The code below
+shows both approaches.
+
+<<results=hide>>=
+grid.newpage()
+grid.lines(name = "lines")
+grid.edit(gPath("lines"), gp = gpar(col = "pink"))
+grid.edit("lines", gp = gpar(col = "red"))
+@
+
+Complex graphical objects are provided by the \gTree{} class.  A
+\gTree{} is a \grob{} which may have other \grob{}s as children.  The
+\code{xaxis} and \code{yaxis} \grob{}s provided by \grid{} are
+examples of \gTree{}s; the children of an axis include a lines \grob{}
+for the tick-marks and a text \grob{} for the tick-mark labels.  The
+function \code{childNames()} can be used to list the names of the
+children of a \gTree{}.  When dealing with these hierarchical objects,
+more complex \gPath{}s can be used to access children of a \gTree{}.
+In the following example, an x-axis is drawn, then the xaxis itself is
+edited to modify the locations of the tick-marks, then the xaxis's
+text child is edited to modify the location of the labels on the
+tick-marks.
+
+<<results=hide>>=
+grid.newpage()
+pushViewport(viewport(w = .5, h = .5))
+grid.rect(gp = gpar(col = "grey"))
+grid.xaxis(name = "myxaxis")
+grid.edit("myxaxis", at = 1:4/5)
+grid.edit(gPath("myxaxis", "labels"), y = unit(-1, "lines"))
+
+@
+
+This next example extends the idea a step further to edit the child of
+a child of a \gTree{}.  It also shows the use of the \gTree{} function
+to construct a simple \gTree{} (this is just creating an instance of
+the \gTree{} class -- it is also possible to extend the \gTree{} class
+in order to provide specialised behaviour for drawing and other
+things; more on this later).  Finally, the example demonstrates how
+\gPath{}s of depth greater than 1 can be specified directly as a
+string.
+
+<<results=hide>>=
+grid.newpage()
+pushViewport(viewport(w = .5, h = .5))
+myplot <-
+    gTree(name = "myplot",
+          children = gList(rectGrob(name = "box", gp = gpar(col = "grey")),
+                           xaxisGrob(name = "xaxis")))
+grid.draw(myplot)
+grid.edit("myplot::xaxis", at = 1:10/11)
+grid.edit("myplot::xaxis::labels", label = round(1:10/11, 2))
+grid.edit("myplot::xaxis::labels", y = unit(-1, "lines"))
+@
+\code{"grobwidth"} units require a \grob{} to give the width of.
+There are two ways to specify the \grob{}.  The following example
+shows the most obvious method of simply supplying a \grob{}.  Notice
+that if you modify \code{gt} it will have no effect on the width of
+the drawn rectangle.
+
+<<results=hide>>=
+grid.newpage()
+gt <- grid.text("Hi there")
+grid.rect(width = unit(1, "grobwidth", gt))
+@
+In order to allow a \code{"grobwidth"} unit to track changes in the
+\grob{}, it is possible to specify a \gPath{} rather than a \grob{} as
+the data for a \code{"grobwidth"} unit.  The following example
+modifies the previous example to use a \gPath{}.  Now, the width of
+the rectangle changes when the width of the underlying \grob{}
+changes.
+
+<<results=hide>>=
+grid.newpage()
+gt <- grid.text("Hi there", name = "sometext")
+grid.rect(width = unit(1, "grobwidth", "sometext"))
+grid.edit("sometext", label = "Something different")
+@
+
+One issue in the evaluation of \code{"grobwidth"} units involves
+establishing the correct ``context'' for a \grob{} when determining its width
+(if a \grob{} has a viewport in its \code{vp} slot then that viewport gets
+pushed before the \grob{} is drawn;  that viewport should also be pushed
+when determining the width
+of the \grob{}).
+To achieve this there are
+\code{preDrawDetails()},  \code{drawDetails()}, and \code{postDrawDetails()}
+generic functions.
+(suggestions for better names welcome!).  The idea is that
+pushing and popping of viewports should occur in the \code{pre} and
+\code{post} generics, and any actual drawing happens in the main
+\code{drawDetails()} generic.  This allows the code that calculates a
+\grob{} width to call the \code{preDrawDetails()} in order to establish
+the context in which the \grob{} would be drawn before calculating its
+width.  The following example shows a test case;  a \grob{} is created
+(extending to a new class to allow specific methods to be written),
+and methods are provided which establish a particular context
+for drawing the \grob{}.  These methods are used both in the drawing
+of the \grob{} and in the calculation of the \grob{}'s width (when
+drawing a bounding rectangle).
+
+<<results=hide>>=
+grid.newpage()
+mygrob <- grob(name = "mygrob", cl = "mygrob")
+preDrawDetails.mygrob <- function(x)
+    pushViewport(viewport(gp = gpar(fontsize = 20)))
+
+drawDetails.mygrob <- function(x, recording = TRUE)
+    grid.draw(textGrob("hi there"), recording = FALSE)
+
+postDrawDetails.mygrob <- function(x) popViewport()
+
+widthDetails.mygrob <- function(x) unit(1, "strwidth", "hi there")
+
+grid.draw(mygrob)
+grid.rect(width = unit(1, "grobwidth", mygrob))
+@
+
+This next example shows a slightly different test case where the
+standard \code{preDrawDetails()} and \code{postDrawDetails()} methods
+are used, but the \grob{} does have a \code{vp} slot so these methods
+do something.  Another interesting feature of this example is the
+slightly more complex \gTree{} that is created.  The \gTree{} has a
+\code{childrenvp} specified.  When the \gTree{} is drawn, this
+viewport is pushed and then ``up''ed before the children of the
+\gTree{} are drawn.  This means that the children of the \gTree{} can
+specify a \code{vpPath} to the viewport they should be in.  This
+allows the parent \gTree{} to create a suite of viewports and then
+children of the \gTree{} select which one they want -- this can be
+more efficient than having each child push and pop the viewports it
+needs, especially if several children are drawn within the same
+viewport.  Another, more realistic example of this is given later.
+
+<<results=hide>>=
+grid.newpage()
+mygtree <- gTree(name = "mygrob",
+                 childrenvp = viewport(name = "labelvp",
+                                       gp = gpar(fontsize = 20)),
+                 children = gList(textGrob("hi there", name = "label",
+                   vp = "labelvp")),
+                 cl = "mygtree")
+widthDetails.mygtree <- function(x)
+    unit(1, "grobwidth", getGrob(x, "label"))
+
+grid.draw(mygtree)
+grid.rect(width = unit(1, "grobwidth", mygtree))
+@
+
+Constructing a description of a \code{frame} \grob{} must be
+done via \code{packGrob()} and \code{placeGrob()}.  The following example
+shows the construction of a simple frame consisting of two
+equal-size columns.
+
+<<results = hide>>=
+grid.newpage()
+fg <- frameGrob(layout = grid.layout(1, 2))
+fg <- placeGrob(fg, textGrob("Hi there"), col = 1)
+fg <- placeGrob(fg, rectGrob(), col = 2)
+grid.draw(fg)
+@
+
+This next example constructs a slightly fancier frame using packing.
+
+<<results=hide>>=
+grid.newpage()
+pushViewport(viewport(layout = grid.layout(2, 2)))
+drawIt <- function(row, col) {
+    pushViewport(viewport(layout.pos.col = col, layout.pos.row = row))
+    grid.rect(gp = gpar(col = "grey"))
+    grid.draw(fg)
+    upViewport()
+}
+fg <- frameGrob()
+fg <- packGrob(fg, textGrob("Hi there"))
+fg <- placeGrob(fg, rectGrob())
+drawIt(1, 1)
+fg <- packGrob(fg, textGrob("Hello again"), side = "right")
+drawIt(1, 2)
+fg <- packGrob(fg, rectGrob(), side = "right", width = unit(1, "null"))
+drawIt(2, 2)
+@
+
+In order to allow frames to update when the objects packed within them
+are modified, there is a \code{dynamic} argument to \code{packGrob()}
+(and \code{grid.pack()}).  The following extends the previous example
+to show how this might be used.  Another feature of this example is
+the demonstration of ``non-strict'' searching that occurs in the
+\code{grid.edit()} call; the \grob{} called \code{"midtext"} is not at
+the top-level, but is still found.  Something like
+\code{grid.get("midtext", strict = TRUE)} would fail.
+
+<<results=hide>>=
+grid.newpage()
+fg <- frameGrob()
+fg <- packGrob(fg, textGrob("Hi there"))
+fg <- placeGrob(fg, rectGrob())
+fg <- packGrob(fg, textGrob("Hello again", name = "midtext"),
+               side = "right", dynamic = TRUE)
+fg <- packGrob(fg, rectGrob(), side = "right", width = unit(1, "null"))
+grid.draw(fg)
+grid.edit("midtext", label = "something much longer")
+@
+
+There have been a few examples already which have involved creating a
+\gTree{}.  This next example explicitly demonstrates this technique.
+A \gTree{} is created with two important components.  The
+\code{childrenvp} is a \code{vpTree} consisting of a
+\code{"plotRegion"} viewport to provide margins around a plot and a
+\code{"dataRegion"} viewport to provide x- and y-scales.  The
+\code{"dataRegion"} gets pushed within the \code{"plotRegion"} and
+both are pushed and then ``up''ed before the children are drawn.  The
+\code{children} of the \gTree{} are an \code{xaxis} and a \code{yaxis}
+both drawn within the \code{"dataRegion"}, and a \code{rect} drawn
+around the border of the \code{"plotRegion"}.  A further feature of
+this example is the use of the \code{addGrob()} and
+\code{removeGrob()} functions to modify the \gTree{}.  The first
+modification involves adding a new child to the \gTree{} which is a
+set of points drawn within the \code{"dataRegion"}.  The second
+modification involves adding another set of points with a different
+symbol (NOTE that this second set of points is given a name so that it
+is easy to identify this set amongst the children of the \gTree{}).
+The final modification is to remove the second set of points from the
+\gTree{}.
+
+<<results=hide>>=
+grid.newpage()
+pushViewport(viewport(layout = grid.layout(2, 2)))
+drawIt <- function(row, col) {
+    pushViewport(viewport(layout.pos.col = col, layout.pos.row = row))
+    grid.rect(gp = gpar(col = "grey"))
+    grid.draw(gplot)
+    upViewport()
+}
+gplot <- gTree(x = NULL, y = NULL,
+               childrenvp = vpTree(
+                 plotViewport(c(5, 4, 4, 2), name = "plotRegion"),
+                 vpList(viewport(name = "dataRegion"))),
+               children = gList(
+                 xaxisGrob(vp = "plotRegion::dataRegion"),
+                 yaxisGrob(vp = "plotRegion::dataRegion"),
+                 rectGrob(vp = "plotRegion")))
+drawIt(1, 1)
+gplot <- addGrob(gplot, pointsGrob(vp = "plotRegion::dataRegion"))
+drawIt(1, 2)
+gplot <- addGrob(gplot, pointsGrob(name = "data1", pch = 2,
+                                   vp = "plotRegion::dataRegion"))
+drawIt(2, 1)
+gplot <- removeGrob(gplot, "data1")
+drawIt(2, 2)
+@
+
+This next example provides a simple demonstration of saving and
+loading \grid{} \grob{}s.  It is also a nice demonstration that
+\grob{}s copy like normal \R{} objects.
+
+<<results=hide>>=
+gplot <- gTree(x = NULL, y = NULL,
+               childrenvp = vpTree(
+                 plotViewport(c(5, 4, 4, 2), name = "plotRegion"),
+                   vpList(viewport(name = "dataRegion"))),
+               children = gList(
+                 xaxisGrob(vp = "plotRegion::dataRegion"),
+                 yaxisGrob(vp = "plotRegion::dataRegion"),
+                 rectGrob(vp = "plotRegion")))
+save(gplot, file = "gplot1")
+gplot <- addGrob(gplot, pointsGrob(vp = "plotRegion::dataRegion"))
+save(gplot, file = "gplot2")
+grid.newpage()
+pushViewport(viewport(layout = grid.layout(1, 2)))
+pushViewport(viewport(layout.pos.col = 1))
+load("gplot1")
+grid.draw(gplot)
+popViewport()
+pushViewport(viewport(layout.pos.col = 2))
+load("gplot2")
+grid.draw(gplot)
+popViewport()
+@
+
+This next example just demonstrates that it is possible to use a
+\gPath{} to access the children of a \gTree{} when editing.  This is
+the \code{editGrob()} equivalent of an earlier example that used
+\code{grid.edit()}.  One useful application of this API is the ability
+to modify the appearance of quite precise elements of a large, complex
+graphical object by editing the \code{gp} slot of a child (of a child
+\ldots{}) of a \gTree{}.
+
+<<results = hide>>=
+myplot <- gTree(name = "myplot",
+                children = gList(
+                  rectGrob(name = "box", gp = gpar(col = "grey")),
+                  xaxisGrob(name = "xaxis")))
+myplot <- editGrob(myplot, gPath = "xaxis", at = 1:10/11)
+myplot <- editGrob(myplot, gPath = "xaxis::labels", label = round(1:10/11, 2))
+myplot <- editGrob(myplot, gPath = "xaxis::labels", y = unit(-1, "lines"))
+grid.newpage()
+pushViewport(viewport(w = .5, h = .5))
+grid.draw(myplot)
+
+@
+The following example demonstrates
+the use of the \code{getGrob()} and \code{grid.get()} (along with
+\gPath{}s) to access \grob{}s.
+
+<<results = hide>>=
+myplot <- gTree(name = "myplot",
+                children = gList(
+                  rectGrob(name = "box", gp = gpar(col = "grey")),
+                  xaxisGrob(name = "xaxis")))
+getGrob(myplot, "xaxis")
+myplot <- editGrob(myplot, gPath="xaxis", at=1:10/11)
+getGrob(myplot, "xaxis::labels")
+grid.newpage()
+pushViewport(viewport(w=.5, h=.5))
+grid.draw(myplot)
+grid.get("myplot")
+grid.get("myplot::xaxis")
+grid.get("myplot::xaxis::labels")
+@
+
+There is also an API for (re)setting children of a \gTree{}
+or any drawn \grob{}.  This is not intended for general user use,
+but provides a simple way for developers to perform modifications
+to the structure of a \gTree{} by doing something like \ldots{}
+
+\begin{verbatim}
+grob <- getGrob(<spec>)
+<modify grob>
+setGrob(<spec>, grob)
+\end{verbatim}
+
+This approach is used in the implementation of packing and placing grobs.
+The following example shows some simple usage of the
+\code{setGrob()} and \code{grid.set()} functions to replace
+children of a \gTree{} with different \grob{}s.  NOTE that currently
+such replacement can only occur if the name of the new \grob{}
+is the same as the name of the old \grob{}.
+
+<<results=hide>>=
+myplot <- gTree(name = "myplot",
+                children = gList(rectGrob(name = "box", gp = gpar(col = "grey")),
+                  xaxisGrob(name = "xaxis")))
+myplot <- setGrob(myplot, "xaxis", rectGrob(name = "xaxis"))
+grid.newpage()
+pushViewport(viewport(w = .5, h = .5))
+grid.draw(myplot)
+grid.set("myplot::xaxis", xaxisGrob(name = "xaxis", at = 1:3/4))
+grid.set("myplot::xaxis::labels",
+         textGrob(name = "labels", x = unit(1:3/4, "native"),
+                  y = unit(-1, "lines"), label = letters[1:3]))
+myplot <- setGrob(grid.get("myplot"), "xaxis::labels",
+                  circleGrob(name = "labels"))
+grid.newpage()
+pushViewport(viewport(w = .5, h = .5))
+grid.draw(myplot)
+@
+
+This next example just shows more complex use of the add/remove
+facilities for modifying \grob{}s.  Again, \code{addGrob()} and
+\code{removeGrob()} are for constructing descriptions of graphical
+objects and \code{grid.add()} and \code{grid.remove()} are for
+modifying drawn output.  Of particular note are the last two lines
+involving \code{grid.remove()}.  The first point is that there are
+multiple \grob{}s on the display list with the same name.  The example
+only affects the first one it finds; this could easily be extended to
+affect the display list ``globally'' (for children of \gTree{}s, there
+cannot be multiple children with the same name so the issue does not
+arise).  The last line is interesting because it actually erases the
+\grob{} named \code{"plot1"} from the display list altogether (well,
+the first instance on the display list of a \grob{} called
+\code{"plot1"} anyway).
+
+<<results=hide>>=
+drawIt <- function(row, col) {
+  pushViewport(viewport(layout.pos.col = col, layout.pos.row = row))
+  grid.rect(gp = gpar(col = "grey"))
+  grid.draw(gplot)
+  upViewport()
+}
+gplot <- gTree(name = "plot1",
+               childrenvp = vpTree(
+                 plotViewport(c(5, 4, 4, 2), name = "plotRegion"),
+                 vpList(viewport(name = "dataRegion"))),
+               children = gList(
+                 xaxisGrob(name = "xaxis", vp = "plotRegion::dataRegion"),
+                 yaxisGrob(name = "yaxis", vp = "plotRegion::dataRegion"),
+                 rectGrob(name = "box", vp = "plotRegion")))
+grid.newpage()
+pushViewport(viewport(layout = grid.layout(2, 2)))
+drawIt(1, 1)
+grid.add("plot1", pointsGrob(0.5, 0.5, name = "data1",
+                             vp = "plotRegion::dataRegion"))
+grid.add("plot1::xaxis",
+         textGrob("X Axis", y = unit(-2, "lines"), name = "xlab"))
+grid.edit("plot1::xaxis::xlab", y = unit(-3, "lines"))
+gplot <- grid.get("plot1")
+gplot <- addGrob(gplot, gPath = "yaxis",
+                 textGrob("Y Axis", x = unit(-3, "lines"), rot = 90,
+                          name = "ylab"))
+drawIt(1, 2)
+gplot <- removeGrob(gplot, "xaxis::xlab")
+drawIt(2, 1)
+grid.remove("plot1::data1")
+grid.remove("plot1")
+@
+
+The next example is just a \code{grid.place()} and \code{grid.pack()}
+equivalent of an earlier example involving
+\code{placeGrob()} and \code{packGrob()}.  The interesting feature is
+that each action is reflected in the output as it occurs.
+
+<<results=hide>>=
+grid.newpage()
+grid.frame(name = "myframe", layout = grid.layout(1, 2))
+grid.place("myframe", textGrob("Hi there"), col = 1)
+grid.place("myframe", rectGrob(), col = 2)
+grid.newpage()
+grid.frame(name = "frame2")
+grid.pack("frame2", textGrob("Hi there"))
+grid.place("frame2", rectGrob())
+grid.pack("frame2", textGrob("Hello again"), side = "right")
+grid.pack("frame2", rectGrob(), side = "right", width = unit(1, "null"))
+@
+\end{document}
+
+
+
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/grid/doc/interactive.Rnw
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/grid/doc/interactive.Rnw	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/grid/doc/interactive.Rnw	(revision 3761)
@@ -0,0 +1,137 @@
+% File src/library/grid/vignettes/interactive.Rnw
+% Part of the R package, https://www.R-project.org
+% Copyright 2001-13 Paul Murrell and the R Core Team
+% Distributed under GPL 2 or later
+
+\documentclass[a4paper]{article}
+%\VignetteIndexEntry{Editing grid Graphics}
+%\VignettePackage{grid}
+\newcommand{\code}[1]{\texttt{#1}}
+\newcommand{\pkg}[1]{{\normalfont\fontseries{b}\selectfont #1}}
+\newcommand{\grid}{\pkg{grid}}
+\newcommand{\R}{{\sffamily R}}
+\setlength{\parindent}{0in}
+\setlength{\parskip}{.1in}
+\setlength{\textwidth}{140mm}
+\setlength{\oddsidemargin}{10mm}
+\title{An Example of Interactive Graphics Editing in \grid}
+\author{Paul Murrell}
+
+\begin{document}
+\maketitle
+
+<<echo=FALSE, results=hide>>=
+library(grDevices)
+library(grid)
+ps.options(pointsize = 12)
+options(width = 60)
+@
+First of all, we create an x-axis and draw it on the device.
+It is very important that we specify a \code{name} for the object
+so that we can refer to it later.
+
+<<fig1, results=hide, fig=TRUE, width=6, height=2, include=FALSE>>=
+grid.xaxis(at = 1:4/5, vp = viewport(w = .5, h = 0.01), name = "gxa")
+@
+\begin{center}
+{
+\includegraphics[width=3in, height=1in]{interactive-fig1}
+}
+\end{center}
+@
+
+Now we edit the axis, changing the colour of the entire axis to red.
+Notice that we refer to the x-axis by its name.
+
+<<edit1, eval=FALSE>>=
+grid.edit("gxa", gp = gpar(col = "red"))
+<<fig2, echo=FALSE, results=hide, fig=TRUE, width=6, height=2, include=FALSE>>=
+gxa <- xaxisGrob(at = 1:4/5, vp = viewport(w = .5, h = .01))
+gxa <- editGrob(gxa, gp = gpar(col = "red"))
+grid.draw(gxa)
+@
+\begin{center}
+{
+\includegraphics[width=3in, height=1in]{interactive-fig2}
+}
+\end{center}
+
+@
+
+Now we change just the labels of the x-axis to green.  We use the
+\code{gPath()} function to concatenate the grob names (we could have used
+\code{"gxa::labels"} here, but \code{gPath()} is recommended for
+writing code that will be reused).
+
+<<edit2, eval=FALSE>>=
+grid.edit(gPath("gxa", "labels"), gp = gpar(col = "green"))
+<<fig3, echo=FALSE, results=hide, fig=TRUE, width=6, height=2, include=FALSE>>=
+gxa <- xaxisGrob(at = 1:4/5, vp = viewport(w = .5, h = .01))
+gxa <- editGrob(gxa, gp = gpar(col = "red"))
+gxa <- editGrob(gxa, gPath = "labels", gp = gpar(col = "green"))
+grid.draw(gxa)
+@
+\begin{center}
+{
+\includegraphics[width=3in, height=1in]{interactive-fig3}
+}
+\end{center}
+@
+
+It is also possible to change the number of tick marks.
+Notice that the labels all change back to red;  this happens
+because new labels are created by the axis and these ``inherit''
+the colour of the axis by default.  In other words, the
+colour specification of the old labels was specific to the old labels
+and was discarded when the old labels were discarded.
+
+<<edit3, eval=FALSE>>=
+grid.edit("gxa", at = c(0.0, 0.5, 1.0))
+<<fig4, echo=FALSE, results=hide, fig=TRUE, width=6, height=2, include=FALSE>>=
+gxa <- xaxisGrob(at = 1:4/5, vp = viewport(w = .5, h = .01))
+gxa <- editGrob(gxa, gp = gpar(col = "red"))
+gxa <- editGrob(gxa, gPath = "labels", gp = gpar(col = "green"))
+gxa <- editGrob(gxa, at = c(0.0, 0.5, 1.0))
+grid.draw(gxa)
+@
+\begin{center}
+{
+\includegraphics[width=3in, height=1in]{interactive-fig4}
+}
+\end{center}
+@
+
+Finally, we change the labels back to black and rotate them all $30\deg$.
+
+<<edit4, eval=FALSE>>=
+grid.edit("gxa::labels", gp = gpar(col = "black"), rot = 30)
+<<fig5, echo=FALSE, results=hide, fig=TRUE, width=6, height=2, include=FALSE>>=
+gxa <- xaxisGrob(at = 1:4/5, vp = viewport(w = .5, h = .01))
+gxa <- editGrob(gxa, gp = gpar(col = "red"))
+gxa <- editGrob(gxa, gPath = "labels", gp = gpar(col = "green"))
+gxa <- editGrob(gxa, at = c(0.0, 0.5, 1.0))
+gxa <- editGrob(gxa, gPath = "labels", gp = gpar(col = "black"), rot = 30)
+grid.draw(gxa)
+@
+\begin{center}
+{
+\includegraphics[width=3in, height=1in]{interactive-fig5}
+}
+\end{center}
+@
+
+The above examples describe how to perform editing on a grid object
+and have the changes updated on screen.  The equivalent can be done
+entirely ``off-screen'', by just working with the grid object.
+The off-screen equivalent in this case would look like:
+
+<<results=hide>>=
+gxa <- xaxisGrob(at = 1:4/5, vp = viewport(w = .5, h = .01))
+gxa <- editGrob(gxa, gp = gpar(col = "red"))
+gxa <- editGrob(gxa, gPath = "labels", gp = gpar(col = "green"))
+gxa <- editGrob(gxa, at = c(0.0, 0.5, 1.0))
+gxa <- editGrob(gxa, gPath = "labels", gp = gpar(col = "black"), rot = 30)
+grid.draw(gxa)
+@
+\end{document}
+
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/grid/doc/grobs.pdf
===================================================================
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Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/grid/doc/interactive.pdf
===================================================================
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Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/grid/doc/changes.txt
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/grid/doc/changes.txt	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/grid/doc/changes.txt	(revision 3761)
@@ -0,0 +1,1695 @@
+
+Changes from grid_4.1.* to grid_4.2.0:
+-------------------------------------
+
+1.  New 'vpPath' argument to grid.grep() so that we can ask for
+    matching grobs WITH vpPaths WITHOUT having to ask for matching
+    viewports, e.g., grid.grep("path", vpPath=TRUE).
+
+    The value of 'vpPath' defaults to the value of 'viewports', so ...
+
+    grid.grep("path", viewports=TRUE)
+
+    ... behaves as before.
+
+2.  New grid.group(), grid.define(), and grid.use() functions for
+    defining and using "isolated groups" (on supported devices).
+    These can be used to draw content in isolation before combining
+    the content with the main image, to apply compositing operators
+    other than "over", and to apply affine transformations to
+    content.
+
+3.  New grid.stroke(), grid.fill(), and grid.fillStroke() functions
+    for defining a path (based on a grob) and then stroking and/or
+    filling that path.
+
+4.  viewport(clip) can now be a path, from as.path().  This defines a
+    clipping path and allows the fill rule for the path to be
+    specified.
+
+5.  Text and raster content can now be included in patterns,
+    (clipping) paths, and masks (and groups).  (On supported devices.)
+
+6.  The fixed limit on the number of patterns, clipping paths, and/or
+    masks on Cairo-based devices has been removed.
+
+7.  Fix for reinitialising gpar settings when pushViewport() then
+    grid.newpage() WITHOUT up/popViewport().
+
+8.  Clipping paths and masks are turned off (initially) when resolving
+    a pattern.
+
+9.  Stricter rules to disallow pattern, clipping path, mask, group, or
+    path within clipping path or path.
+
+10. Fix for replayPlot() of an "empty" 'grid' "plot"
+    (where recordPlot() was called with 'grid' loaded, 
+     but with no 'grid' drawing performed).
+
+    Bug 18237 (Thanks to Kevin Ushey for bug report).
+
+
+Changes from grid_4.0.* to grid_4.1.0:
+-------------------------------------
+
+1.  Bug fix for grid.curve() with vertical or horizontal "curve".
+    Thanks to Patrick Breheney for the report.
+
+2.  Bug fix for grid.pack(side="[left|top]").
+    Thanks to Deepayan Sarkar for the report.
+
+3.  New editViewport() function.
+
+4.  gpar(fill) can now be a linearGradient() or radialGradient() or 
+    pattern().
+
+5.  viewport(clip) can now be a grob (that defines a clipping path).
+
+6.  New viewport(mask) argument that can be "none", "inherit", or
+    a grob (that defines a mask).
+
+
+Changes from grid_3.6.* to grid_4.0.0:
+-------------------------------------
+
+1.  upViewport() or popViewport() now correctly reverts to previous
+    gpar() settings.  
+
+    It used to always revert to previous viewport gpar() settings, 
+    but that is wrong if we are coming out of a viewport that 
+    is a 'childrenvp' of a gTree and the gTree has gpar() settings
+    (in that case we should revert to the gTree gpar() settings).
+
+    Reported by Nicolas Coutin.
+
+2.  Internal reimplementation of units, thanks to Thomas Lin Pedersen,
+    which makes operations on units MUCH faster.
+
+    Only user-visible change is printing of results of unit arithmetic,
+    which now always looks like a call to sum(), and a new unit.psum()
+    function.
+
+    Internally, there are now just "simpleUnit" and "unit" (no more
+    "unit.arithmetic" and "unit.list").
+
+
+Changes from grid_3.5.* to grid_3.6.0:
+-------------------------------------
+
+1.  New functions deviceLoc() and deviceDim().
+
+2.  Improve handling of graphics devices in grid.grabExpr().
+    Should now work when multiple graphics devices already open
+    (e.g., within 'knitr' document).
+
+3.  Fix bug in grid.layout() when viewport has negative width/height
+    (e.g., due to being sized in "native" units within viewport
+     with flipped scales).
+
+    Thanks to report by Silas Dean.
+
+4.  Add 'wrap.grob' argument to grid.grab() and grid.grabExpr()
+    to allow wrapping of grobs as well as viewports (if both
+    'wrap' and 'wrap.grob' are TRUE.
+
+    Also, no longer check for duplicate grob names at top-level
+    if 'wrap' is TRUE.
+
+    Also, do not start new page if 'wrap' is TRUE.
+
+    Thanks to report from John Bullock.
+
+5.  Exported makeContent.default() (so that
+    external packages can do more stuff with grobs)
+
+6.  New 'pathId' and 'pathId.lengths' arguments for grid.path()
+    to allow multiple paths to be drawn at once.
+
+    Contributed by Thomas Lin Pedersen.
+
+7.  New grobCoords() and grobPoints() functions to calculate points 
+    along the perimeter (or length) of a grob.
+
+8.  Internal changes to graphical parameter setting to speed things
+    up a bit.  
+    
+    Contributed by Thomas Lin Pedersen.
+
+
+Changes from grid_3.4.* to grid_3.5.0:
+-------------------------------------
+
+1.  Fix for current.vpTree() so that it puts you back in the right
+    place in the viewport tree if there are nested viewports with
+    the same name (e.g., pushViewport(vp, vp)).
+
+    Reported by Prem Thomas.
+
+2.  Added 'device' (and 'width' and 'height') arguments to grid.grabExpr()
+
+    Suggestion from Claus Wilke.
+
+
+Changes from grid_3.3.* to grid_3.4.0:
+-------------------------------------
+
+1.  Added format() method for units, so, for example, the number of 
+    digits printed for numeric values can be controlled.
+
+    grid.show.layout() now uses format() for annotating layout
+    widths and heights.
+
+2.  More robust handling of NA values in graphical parameter settings
+    that affect text.  NA values for fontsize, lineheight, cex, and
+    fontfamily are ignored, i.e., inherited from parent drawing context.
+    A mixture of NA and non-NA generates an error.
+
+3.  Improved support for calcStringMetric() function (and
+    stringAscent() and stringDescent() and grobAscent() and
+    grobDescent()) so that text encoding is now handled.
+
+    Reported by Hakon Malmedal and Hadley Wickham.
+
+
+Changes from grid_3.2.* to grid_3.3.0:
+-------------------------------------
+
+1.  Added "pseudonym" units to check made in absolute.size() so that,
+    for example, absolute.size(unit(1, "in")) works properly
+    (reported by Baptiste Auguie).
+
+2.  Registered absolute.units() methods in NAMESPACE, so that, for
+    example, a call to absolute.size(unit(1,"npc") + unit(2,"mm"))
+    works outside of 'grid' (reported by Baptiste Auguie).
+
+3.  Refactored grid.draw() so that grid.draw(NULL) now works 
+    (by doing nothing).  Reported by Hadley Wickham.
+
+4.  Modified grid.ls() so that it returns nothing if there are no
+    active devices (rather than opening a new device).
+  
+5.  Modified grid.grep() so that it returns an empty list (rather than
+    throwing an error) when the 'grid' display list is empty.
+
+6.  Added subassignment methods for unit objects
+    (e.g., x <- unit(1:3, "cm"); x[2] <- unit(.5, "npc"))
+
+    Thanks to Baptiste Auguie for code suggestions.
+
+
+Changes from grid_3.1.* to grid_3.2.0:
+-------------------------------------
+
+1.  Fixed evaluation of "pure null" units (by making evaluation recursive).
+    Previously, for example, a unit list with a unit list as its first
+    component would evaluate to NA.  This typically only affects layouts 
+    in grid.
+
+    Problem reported by Baptiste Auguie.
+
+2.  Fixed problem in validDetails.beziergrob(), which used to fail if
+    you tried to specify 'id.lengths'
+
+3.  Fixed bug in downViewport() when descending more than one
+    viewport.  It was possible for this to end up with the wrong
+    clipping region (because if you ended up in a viewport that
+    inherited its clipping region from a parent, that clipping region
+    was not enforced).
+
+
+Changes from grid_3.0.* to grid_3.1.0:
+-------------------------------------
+
+1.  New current.rotation() function.
+
+2.  vpPath() and gPath() now automatically expand any embedded path 
+    separators in their input.
+
+3.  New functions depth(), for determining the depth of a viewport 
+    hierarchy or path, and explode(), for expanding a path into
+    its components.
+
+4.  New function grid.grep()
+    (based on ideas and code from Simon Potter).
+
+5.  The grid.force() function now accepts an explicit grob to (draw 
+    and) force or a gPath to force a specific already-drawn grob.
+    Ditto the grid.revert() function.
+
+6.  New current.parent() function to return parent of current viewport.
+
+7.  New resolveRasterSize() function.
+
+8.  Made 'vp' argument of current.viewport() defunct.
+
+9.  Deprecated functions made defunct: 
+    grid.grob, grid.arrows, arrowsGrob, grid.convert, grid.convertX,
+    grid.convertY, grid.convertWidth, grid.convertHeight,
+    grid.collection, push.viewport, pop.viewport, viewport.transform,
+    draw.details, convertNative.
+
+10. Down viewports are now recorded on the display list as full-depth
+    strict vpPaths even when downViewport() is called with non-strict
+    vpPath (which can produce a down viewport of greater depth than
+    the depth of the vpPath).
+
+11. Exported generic forceGrob().
+
+12. Bug fix for recording viewport pushes on the graphics engine display
+    list (reported by the friendly folks from RStudio).
+
+    The bug could be tickled by copying a grid scene from one graphics
+    device to another and then attempting to navigate within 
+    viewports on the original graphics device.
+
+13. Better defenses against division-by-zero in unit resolution/conversion
+    (see ./DivByZero.txt).
+
+
+Changes from grid_3.0.0 to grid_3.0.1:
+-------------------------------------
+
+1.  Added str() method for "unit.arithmetic"
+    Reported by Andreas Leha.
+
+
+Changes from grid_2.15.0 to grid_3.0.0:
+--------------------------------------
+
+1.  Bug fix for showViewport() when the viewport is a
+    "vpStack" and one of the components of the stack
+    is NOT just a simple viewport (e.g., when one of
+    the components of the "vpStack" is a "vpStack").
+
+2.  Bug fix for grid.ls(viewports = TRUE) when listing a
+    "vpStack" and one of the components of the stack
+    is NOT just a simple viewport (e.g., when one of
+    the components of the "vpStack" is a "vpStack").
+
+3.  Added support for "vpPaths" within a "vpStack",
+    "vpList", or "vpTree" (i.e., mixing of viewports
+    and "vpPaths").
+
+4.  New functions grid.reorder() and reorderGrob() to  
+    modify the order in which the children of a gTree 
+    are drawn.
+
+5.  Bug fix for grid.ls() to report children of a gTree
+    in the correct order.
+
+6.  New makeContext() and makeContent() "hook" functions
+    to allow alternative method for creating custom grobs.
+
+7.  Standard behaviour for grobs is now to use upViewport()
+    rather than popViewport() on the 'vp' slot.
+
+8.  New grid.force() function to provide access to grobs 
+    that are generated only at drawing time (for grobs that 
+    use the new makeContent() hook).
+
+9.  New grid.revert() function to revert the effect of 
+    grid.force().
+
+10. Implementation of "xaxis", "yaxis", "frame", "cellGrob",
+    "roundrect", "beziergrob", "curve", and "functiongrob"
+    changed to use makeContext() and makeContent() hooks.
+
+11. New grid.delay() and delayGrob() functions;  analogues
+    of grid.record() and recordGrob() that are implemented
+    via makeContent() hooks.
+
+
+Changes from grid_2.14.0 to grid_2.15.0:
+---------------------------------------
+
+1.  Added calcStringMetric() function.
+
+2.  Added "strascent" and "strdescent" units, plus 
+    stringAscent() and stringDescent() convenience functions.
+
+3.  Added "grobascent" and "grobdescent" units, plus 
+    grobAscent() and grobDescent() convenience functions.
+
+    The "ascent" of a grob is equivalent to its height by default,
+    but ascentDetails() methods can be written 
+    (e.g., text grobs are different).
+
+    The "descent" of a grob is zero by default,
+    but descentDetails() methods can be written 
+    (e.g., text grobs are different).
+
+4.  Fix for xsplinePoints() so that it copes with xspline grob
+    with non-NULL 'id' AND so that it takes the 'vp' and 'gp'
+    settings into account.
+
+5.  Added grid.bezier() function to draw Bezier curve
+    (using an X-spline approximation).
+
+    Also added bezierPoints() function.
+
+6.  Added grid.DLapply() function.
+
+
+Changes from grid_2.12.0 to grid_2.13.0:
+---------------------------------------
+
+1.  Added grid.function() for drawing lines to represent functions.
+
+2.  Fixed bug in calculation of x, y, width, and height of segments
+    grobs.
+
+3.  Fixed bug in grid.grab(wrap = TRUE) when the scene includes 
+    downViewport()s.
+
+4.  Added showGrob() function.
+
+
+Changes from grid_2.11.0 to grid_2.12.0:
+---------------------------------------
+
+1.  Neither width nor height need to be specified in 
+    grid.raster().  The image aspect ratio will be used
+    to calculate an appropriate image size for the 
+    current viewport.
+
+2.  Added [x|y|width|height]Details() methods for "rastergrob"s
+
+3.  "roundrect" grobs now obey their 'just' setting
+    (bug reported by Beau Benjamin Bruce)
+
+4.  Added grid.path() for rendering paths with holes.
+
+
+Changes from grid_2.10.0 to grid_2.11.0:
+---------------------------------------
+
+1.  Added xsplinePoints() function to return the (x, y) 
+    locations that an Xspline would be drawn through.
+    Useful for, e.g., clipping an Xspline against a
+    boundary.
+
+2.  Added grid.raster() function for rendering raster images.
+
+3.  Added grid.cap() function for capturing output on
+    current graphics device as a raster image.
+
+4.  Fixed PROTECT() bug in grid.rect() PR#14199
+    Thanks to Andrew Runnalls for the bug report.
+
+5.  Fixed multiple problems in rep.unit() and unit subsetting.
+    Motivated by PR#14170.  Thanks to Bert Gunter.
+    
+
+Changes from grid_2.9.0 to grid_2.10.0:
+--------------------------------------
+
+1.  Added showViewport() function for displaying viewport trees
+    graphically.
+
+2.  Fixed bug in unit() indexing;  negative integer indices now work.
+
+3.  Modified behaviour of editGrob() and addGrob() so that they 
+    return the original grob if the specified gPath does not exist,
+    and issue a warning (if new argument 'warn' is TRUE).
+    
+
+Changes from grid_2.8.0 to grid_2.9.0:
+-------------------------------------
+
+1.  Copied grid.roundRect() from 'RGraphics' package into 'grid'.
+
+    Renamed to grid.roundrect() and also used roundrectGrob()
+    rather than roundRect(), partly for more consistent naming,
+    partly to avoid namespace collision until original functions
+    get removed from 'RGraphics' package.
+
+2.  Fixed bug in grid.curve() when curve is horizontal or vertical
+    straight line.
+
+3.  Exposed is.grob() and valid.just() via the NAMESPACE.
+
+4.  Fixed bug in downViewport(), which meant that unsuccessful
+    downViewport()s were still being recorded on the graphics
+    engine display list.  This could cause interesting results
+    when a window is resized (i.e., when the display list is 
+    replayed).  
+
+    Bug reported by Felix Andrews.
+
+5.  Added some pseudonyms for come units.  For example, it is now
+    possible to specify just "in" instead of "inches".
+
+
+Changes from grid_2.7.0 to grid_2.8.0:
+-------------------------------------
+
+1.  Added grid.null() and nullGrob();  grob that is guaranteed
+    to have zero-width, zero-height, and draw nothing.
+
+    Useful as zero-size placeholder AND as invisible reference
+    point for other grobs to draw relative to.
+
+2.  Fixed bug in listing, via grid.ls(), of frame grobs.  If the frame
+    had a vpPath in its 'vp' component, you got an error from vpStack().
+
+    Problem reported by Hadley Wickham.
+
+3.  Fixed a bug in grid.ls() when attempting to list the display list
+    following the removal of a grob (i.e., so that there were NULLs
+    in the display list).
+
+    Problem reported by Felix Andrews.
+
+
+Changes from grid_2.6.0 to grid_2.7.0:
+-------------------------------------
+
+1.  Grid will no longer complain about clipping to a rotated
+    viewport if the rotation is a multiple of 90 degrees.
+
+    Prompted by report from Gustaf Rydevik.
+
+2.  Open Xsplines must have zero shape for first and last
+    control point, but this was not being enforced correctly
+    for the case where there were multiple Xsplines in a
+    single grid.xspline() call (i.e., with use of 'id' or
+    'id.length').  The problem can be seen with this code
+    (most curves do not connect to the first control point
+    [there are also subtle errors in the curve shapes]):
+
+        grid.newpage()
+        pushViewport(viewport(w=.5, h=.5))
+        grid.xspline(x=outer(c(0, .5, 1, .5), 5:1/5),
+                     s=1,
+                     y=outer(c(.5, 1, .5, 0), 5:1/5),
+                     id.lengths=rep(4, 5),
+                     gp=gpar(col=1:5, lwd=3))
+        grid.rect()
+
+3.  Frame grobs have been improved so that all of the viewports
+    that are generated during the drawing of a frame (and its
+    cells) are left on the display list (previously, they were
+    popped).
+
+    This has implications particularly for ggplot[2] because
+    it means that it is now possible to downViewport() to 
+    viewports created during the drawing of a ggplot[2] plot
+    to, for example, add further annotations to the plot.
+
+4.  Small fixes to grid.ls():
+
+    - viewports pushed by cellGrobs within frames are now
+      shown by grid.ls()
+
+    - fixed warning (bug really) when display list contains
+      only one grob (and padPrefix() is called).
+
+
+Changes from grid_2.5.0 to grid_2.6.0:
+-------------------------------------
+
+1.  Added grid.gedit() as convenience wrapper for grid.edit()
+    based on usage patterns of Hadley Wickham when working with
+    'ggplot' package.
+
+    Ditto, grid.gget() and grid.gremove().
+
+2.  Improved implementation of 'id' and 'id.lengths' arguments
+    for drawing multiple polygons/polylines/xsplines to gain 
+    order 2 speed improvement.  
+
+    Problem independently reported by Luke Tierney, Deepayan Sarkar and
+    Vilmos Prokaj.
+
+3.  Bug fixes for grid.remove(), especially for grep=TRUE and global=TRUE
+    (i.e., removing all grobs from DL where the name matches a pattern).
+
+    Also some fixes to grid.remove() error messages when no match found.
+
+    Bug reports from Hadley Wickham.
+
+4.  New function grid.ls() for listing grob trees and viewport trees
+    (including both grob trees and viewport trees interlaced).
+
+    Useful for exploring current grob/viewport tree, explaining
+    grob/viewport trees, and programming on or debugging 
+    grob/viewport trees.
+
+
+Changes from grid_2.4.0 to grid_2.5.0:
+-------------------------------------
+
+1.  Added 'open' argument to grid.curve().  This allows, for example,
+    filling the segment of a circle.
+
+2.  Fixed bug in arrow() function:  segfault produced if either 
+    'ends' or 'type' argument are given as NULL.  Thanks to
+    Sebastien Luque for the report.
+
+
+Changes from grid_2.3.0 to grid_2.4.0:
+-------------------------------------
+
+1.  Bug fix for colour used when drawing a rectangle in a
+    rotated viewport (reported by Olaf Burger).
+
+2.  Removed 'units.per.obs' argument from grid.lines() and 
+    grid.segments() 
+
+    (This is a bug fix;  should have been removed long ago).
+
+3.  Added extra check on 'data' argument of unit(), which means
+    that if you supply a non-NULL value where the 'unit' is
+    not "str[width|height]" or "grob[x|y|width|height]", you
+    get an error.  This may impact on existing code.
+
+4.  Radii in grid.circle() are now silently converted to their
+    absolute value (negative values used to trigger an error).
+
+5.  New function grobName() for generating unique (within-session)
+    grob names (based on class of grob).
+
+    Also, modified default naming of grobs to be based on class
+    of grob.  This should not impact on existing code because
+    noone should be depending on the default names generated by grid.
+
+
+Changes from grid_2.2.0 to grid_2.3.0:
+-------------------------------------
+
+1.  Bug fix for stringWidth() and stringHeight() with mathematical 
+    annotation.
+
+    These used to always convert the argument to "character".
+    Now they let language objects (e.g., expressions) pass through.
+
+2.  New grid.xspline() function to draw X-splines (a general curve
+    approximated or interpolated relative to control points).
+
+3.  New 'arrow' argument to grid.line.to(), grid.lines(), and
+    grid.segments().  This provides a new way to specify arrow
+    heads on either end of a line.
+
+    grid.arrows() has been deprecated.
+
+    NOTE: that the new 'arrow' arguments have been added BEFORE
+    the name, gp and vp arguments so existing code that specifies
+    any of these arguments *by position* (not by name) will fail.
+
+4.  Added "[" (subset) methods for "gpar" objects.
+
+5.  New grobX() and grobY() functions for producing units 
+    describing a location on the boundary of a grob.
+
+6.  Units produced by grobX() and grobY() make use of new 
+    xDetails() and yDetails() generic functions to calculate the 
+    boundary of a grob.  Methods for these functions are provided
+    for all grid graphical primitives.
+
+7.  Bug fix for grid.polygon() when 'x' is not just a simple unit
+    (e.g., it is unit arithmetic);  'index' was being calculated
+    incorrectly so not all of polygon would be drawn or, if 
+    'id' or 'id.length' were used, only a single polygon would
+    be drawn (with unexpected shape).
+
+8.  New grid.curve() primitive for drawing a curve between two
+    locations.  
+
+    Together with new grobX() and grobY() provides support for
+    drawing simple node-and-edge graphs and flow diagrams.
+
+9.  New grid.clip() primitive for setting the clipping region
+    (more accurately, the clipping rectangle).  Has effect until
+    the next grid.clip() or when the current viewport is popped.
+
+10. New dim.layout() method for layout objects.  Allows easy
+    access to dimensions of layout via nrow() and ncol().
+
+11. unit.rep() deprecated in favour of unit method(s) for rep() function.
+
+12. unit.length() deprecated in favour of unit method(s) for length() function.
+
+13. New grid.polyline() primitive.  Just like grid.lines() except has
+    'id' and 'id.lengths' arguments.
+
+    These work like the corresponding arguments in grid.polygon() and
+    grid.xspline(), allowing multiple polylines to be drawn from a
+    single grid.polyline() call.
+
+14. Fixed drawing of top-level gList objects so that they 
+    (actually the grobs in the gList) are recorded on the 
+    grid display list.
+
+    Allowed a gList to be component of a gList 
+    (the gList constructor merges sub-gList into resulting gList).
+
+    Added subset method for gList objects 
+    (so that result is still a gList).
+
+15. Bug fix for grid.rect() and grid.circle() with gpar(lty="blank").
+    (problem was actually in the graphics engine).
+    
+    Reported by John Braun (private correspondence).
+
+
+Changes from grid_2.1.0 to grid_2.2.0:
+-------------------------------------
+
+1.  current.vpPath() now exported.
+
+2.  Grid now uses the 'fg' and 'bg' settings (if any) for
+    graphics devices to set the initial graphical parameter
+    settings of the top-level viewport (i.e., the 'gp' arg
+    of viewport[ROOT]).
+
+3.  Fixed bug in evaluation of grobWidth(polygonGrob()).
+    The C function L_locnBounds was not exported AND
+    the widthDetails.polygon method was not exposed properly
+    via the NAMESPACE.
+
+    Reported in private correspondence by Deepayan Sarkar.
+
+    Also corrected export of heightDetails, validDetails, and	
+    widthDetails for arrows, circle, polygon, points, rect, and
+    segments primitives.
+
+
+Changes from grid_2.0.1 to grid_2.1.0:
+------------------------------------
+
+1.  preDrawDetails(), drawDetails(), and postDrawDetails() 
+    methods are now recorded on the graphics engine
+    display list.   This means that calculations within these 
+    methods are now run when a device is resized or
+    when output is copied from one device to another.  A simple
+    example (the rectangle remains 1inch wide when resizing the
+    device -- it does not in previous versions) ...
+
+        testgrob <- grob(cl="test")
+	drawDetails.test <- function(x, recording) {
+	  w <- convertWidth(unit(1, "inches"), "npc")
+	  grid.rect(width=w)
+	}
+	grid.draw(testgrob)
+
+2.  Fixed bug in grid.text() when "rot" argument has length 0.
+    (privately reported by Emmanuel Paradis)
+
+3.  New getNames() function to return just the names of all top-level
+    grobs on the display list.
+
+4.  Recording on the grid display list is turned off within 
+    preDrawDetails(), drawDetails(), and postDrawDetails() methods.
+
+    This means that you do not need to worry about specifying
+    recording=FALSE within these methods.
+    
+5.  Grid should recover better from errors or user-interrupts
+    during drawing (i.e., not leave you in a strange viewport
+    or with strange graphical parameter settings).
+
+6.  New function grid.refresh() to redraw the grid display list.
+
+7.  New function grid.record() to capture calculations
+    with grid graphics output.  For example ...
+
+        grid.record({
+                      w <- convertWidth(unit(1, "inches"), "npc")
+	              grid.rect(width=w)
+                    },
+                    list())
+
+8.  grobWidth and grobHeight ("grobwidth" and "grobheight" units)
+    for primitives (text, rects, etc, ...) are now
+    calculated based on a bounding box for the relevant grob.
+
+    These used to be calculated assuming a grob was scalar
+    rather than vector.  For example, the following now behaves
+    much more sensibly ...
+
+        txt <- textGrob(c("This is a repeat", "This is a repeat"),
+	                y=1:2/3, rot=45)
+        grid.draw(txt)
+        grid.rect(width=grobWidth(txt), height=grobHeight(txt))
+
+    NOTE: this has changed the calculation of the size of a scalar
+    rect (or circle or lines) so that, for example, something like ...
+
+        grid.pack(frame, rectGrob())
+
+    ... needs to become ...
+
+        grid.pack(frame, rectGrob(), 
+                  width=unit(1, "null"), height=unit(1, "null"))
+
+    ... if you just want a rectangle that fills the space available.
+
+9.  New arguments "warn" and "wrap" for function grid.grab()
+    
+    If warn>0 will warn if know (or, if warn>1,  if even suspect) 
+    that the grab has not faithfully captured the output.  
+
+    If wrap=TRUE, will capture output by wrapping all non-grobs
+    on the display list in grobs.  Resulting gTree is less 
+    elegant and harder to work with, but should always faithfully
+    capture output.
+
+10. New function grid.grabExpr() which captures the output from
+    an expression (i.e., not from the current scene) without
+    doing any drawing (i.e., no impact on the current scene).
+
+11. upViewport() now (invisibly) returns the path that it goes up
+    (suggested by Ross Ihaka).
+
+    This makes it possible to do things like ...
+
+        upPath <- upViewport(n)
+	...
+	downViewport(upPath)
+
+    ... (i.e., navigate up and then back down to where you came from).
+
+12. The "gamma" gpar has been deprecated (this is a device property
+    not a property of graphical objects;  suggested by Ross Ihaka).
+
+13. New "lex" gpar;  a line width multiplier.
+    The final line width is calculated as ...
+
+        gpar("lex")*gpar("lwd")
+
+    ... and the multiplier is cumulative (like cex) ...
+
+      grid.rect(height=0.5, width=0.5, 
+                gp=gpar(lwd=16))                # lex = 1
+      pushViewport(viewport(gp=gpar(lex=0.5)))
+      grid.rect(height=0.5, width=0.5, 
+                gp=gpar(lwd=16, col="red"))     # lex = 0.5
+      pushViewport(viewport(gp=gpar(lex=0.5)))
+      grid.rect(height=0.5, width=0.5, 
+                gp=gpar(lwd=16, col="green"))   # lex = 0.25!
+
+    This (along with cex) provides support for "zooming" a grid scene.
+
+14. grid.text() now handles any language object as mathematical
+    annotation (instead of just expressions).  For example ...
+
+      grid.text(call("sin", pi))
+ 
+15. plotViewport() has default value for "margins" argument (that match
+    the default value for par(mar)).
+
+16. The "extension" argument to dataViewport() can now be vector, 
+    in which case the first value is used to extend the xscale and
+    the second value is used to extend the y scale.
+    (suggested by Ross Ihaka).
+
+17. All "just" arguments (for viewports, layouts, rectangles, text)
+    can now be numeric values (typically between 0 [left] and 1 [right])
+    as well as character values ("left", "right", ...).
+
+    For rectangles and text, there are additional "hjust" and "vjust"
+    arguments which allow numeric vectors of justification in
+    each direction (e.g., so that several pieces of text can have 
+    different justifications).  If these are specified, they
+    override the "just" argument.
+    (suggested by Ross Ihaka)
+
+18. New "edits" argument for grid.xaxis() and grid.yaxis() to
+    allow specification of on-the-fly edits to axis children
+    (when at == NULL, so children are generated on-the-fly).
+
+19. applyEdit(x, edit) returns x if target of edit (i.e., child
+    specified by a gPath) cannot be found.
+
+20. Fix for calculation of length of max/min/sum unit.  Length is
+    now (correctly) reported as 1 (was reported as length of first arg).
+
+21. Viewport names can now be any string (they used to have to be a
+    valid R symbol).
+
+    The documentation now says that grob names can be any string
+    (they always could be, but the documentation said they had to
+     be a valid R symbol)
+
+22. The "label" argument for grid.xaxis() and grid.yaxis() can now 
+    also be a language object or string vector, in which case it 
+    specifies custom labels for the tick marks.
+
+
+Changes from grid_2.0.0 to grid_2.0.1:
+------------------------------------
+
+1.  Fixed bug in grid.newpage();  it was not starting new page
+    on first grid call if there was already traditional graphics
+    output on the device (i.e., the device was "dirty" but not 
+    "grid dirty").
+
+2.  Fixed bug in grid.grab() when no viewports have been pushed.
+
+
+Changes from grid_1.9.0 to grid_2.0.0:
+------------------------------------
+
+1.  Calculation of number of circles to draw in circleGrob now
+    looks at length of y and r as well as length of x.
+
+2.  Calculation of number of rectangles to draw in rectGrob now
+    looks at length of y, w, and h as well as length of x.
+
+3.  All primitives (rectangles, lines, text, ...) now handle 
+    non-finite values (NA, Inf, -Inf, NaN) for locations and
+    sizes.
+
+    Non-finite values for locations, sizes, and scales of
+    viewports result in error messages.
+
+    There is a new vignette("nonfinite") which describes this
+    new behaviour.
+
+4.  Fixed (unreported) bug in drawing circles.  Now checks that
+    radius is non-negative.
+
+5.  downViewport() now reports the depth it went down to find a 
+    viewport.  Handy for "going back" to where you started, e.g., ...
+
+      depth <- downViewport("vpname")
+      <draw stuff>
+      upViewport(depth)
+
+6.  The "alpha" gpar() is now combined with the alpha channel of
+    colours when creating a gcontext as follows:
+
+      finalAlpha = gpar("alpha")*(R_ALPHA(col)/255)
+
+    This means that gpar(alpha=) settings now affect internal
+    colours so grid alpha transparency settings now are sent to
+    graphics devices.
+
+    The alpha setting is also cumulative.  For example, ...
+      
+      grid.rect(width=0.5, height=0.5, 
+                gp=gpar(fill="blue"))              # alpha = 1
+      pushViewport(viewport(gp=gpar(alpha=0.5)))
+      grid.rect(height=0.25, gp=gpar(fill="red"))  # alpha = 0.5
+      pushViewport(viewport(gp=gpar(alpha=0.5)))
+      grid.rect(width=0.25, gp=gpar(fill="red"))   # alpha = 0.25 !
+
+7.  Editing a gp slot in a grob is now incremental.  For example ...
+
+      grid.lines(name="line")
+      grid.edit("line", gp=gpar(col="red")) # line turns red
+      grid.edit("line", gp=gpar(lwd=3)) # line becomes thick AND STAYS red
+      
+8.  The "cex" gpar is now cumulative.  For example ...
+      
+      grid.rect(height=unit(4, "char")) # cex = 1
+      pushViewport(viewport(gp=gpar(cex=0.5)))
+      grid.rect(height=unit(4, "char")) # cex = 0.5
+      pushViewport(viewport(gp=gpar(cex=0.5)))
+      grid.rect(height=unit(4, "char")) # cex = 0.125 !!!
+
+9.  New childNames() function to list the names of children
+    of a gTree.
+
+10. The "grep" and "global" arguments have been implemented for 
+    grid.[add|edit|get|remove]Grob() functions.
+
+    The "grep" argument has also been implemented for the
+    grid.set() and setGrob().
+
+11. New function grid.grab() which creates a gTree from the 
+    current display list (i.e., the current page of output can
+    be converted into a single gTree object with all grobs
+    on the current page as children of the gTree and all the 
+    viewports used in drawing the current page in the childrenvp
+    slot of the gTree).
+
+12. New "lineend", "linejoin", and "linemitre" gpar()s:
+
+      line end can be "round", "butt", or "square".
+      line join can be "round", "mitre", or "bevel".
+      line mitre can be any number larger than 1
+        (controls when a mitre join gets turned into a bevel join;  
+         proportional to angle between lines at join;
+	 very big number means that conversion only happens for lines
+	 that are almost parallel at join).
+
+13. New grid.prompt() function for controlling whether the user is
+    prompted before starting a new page of output.
+
+    Grid no longer responds to the par(ask) setting in the "graphics"
+    package.
+
+
+Changes from grid_1.9.0 to grid_1.9.1:
+------------------------------------
+
+1.  Fixed (unreported) bug in internal calculation of unitArithmetic
+    object when op = * and numeric operand longer than unit operand
+
+2.  Fixed (unreported) bug in creation of unitArithmetic objects
+    when numeric operand is integer.  All numeric operands are now
+    coerced to real.
+
+
+Changes from grid_1.8.0 to grid_1.9.0:
+------------------------------------
+
+1.  Renamed push/pop.viewport() to push/popViewport().
+
+2.  Added upViewport(), downViewport(), and seekViewport() to 
+    allow creation and navigation of viewport tree 
+    (rather than just viewport stack).
+
+3.  Added id and id.lengths arguments to grid.polygon() to allow
+    multiple polygons within single grid.polygon() call.
+
+4.  Added vpList(), vpStack(), vpTree(), and current.vpTree()
+    to allow creation of viewport "bundles" that may be pushed
+    at once (lists are pushed in parallel, stacks in series).
+
+    current.vpTree() returns the current viewport tree.
+
+5.  Added vpPath() to allow specification of viewport path
+    in downViewport() and seekViewport().
+    
+    See ?viewports for an example of its use.
+
+    NOTE: it is also possible to specify a path directly,
+    e.g., something like "vp1::vp2", but this is only
+    advised for interactive use (in case I decide to change the
+    separator :: in later versions).
+
+6.  Added "just" argument to grid.layout() to allow justification
+    of layout relative to parent viewport *IF* the layout is not
+    the same size as the viewport.  There's an example in
+    help(grid.layout).
+
+7.  Allowed the "vp" slot in a grob to be a viewport name or a
+    vpPath.  The interpretation of these new alternatives is to
+    call downViewport() with the name or vpPath before drawing the
+    grob and upViewport() the appropriate amount after drawing the
+    grob.  Here's an example of the possible usage:
+
+        pushViewport(viewport(w=.5, h=.5, name="A"))
+	grid.rect()
+	pushViewport(viewport(w=.5, h=.5, name="B"))
+	grid.rect(gp=gpar(col="grey"))
+	upViewport(2)
+	grid.rect(vp="A", gp=gpar(fill="red"))
+	grid.rect(vp=vpPath("A", "B"), gp=gpar(fill="blue"))
+
+8.  Added engine.display.list() function.  This allows the user to
+    tell grid NOT to use the graphics engine display list and to handle
+    ALL redraws using its own display list (including redraws after
+    device resizes and copies).
+
+    This provides a way to avoid some of the problems with resizing
+    a device when you have used grid.convert(), or the gridBase package,
+    or even base functions such as legend().
+
+    There is a document discussing the use of display lists in grid
+    on the grid web site 
+    (http://www.stat.auckland.ac.nz/~paul/grid/grid.html)
+
+9.  Changed the implementation of grob objects.  They are no longer 
+    implemented as external references.  They are now regular R objects
+    which copy-by-value.  This means that they can be saved/loaded
+    like normal R objects.  In order to retain some existing grob
+    behaviour, the following changes were necessary:
+
+    - grobs all now have a "name" slot.  The grob name is used to
+      uniquely identify a "drawn" grob (i.e., a grob on the display
+      list).  
+    - grid.edit() and grid.pack() now take a grob name as the first
+      argument instead of a grob.  (Actually, they take a gPath -
+      see below)
+    - the "grobwidth" and "grobheight" units take either a grob
+      OR a grob name (actually a gPath - see below).  Only in the 
+      latter case will the unit be updated if the grob "pointed to"
+      is modified.
+
+    In addition, the following features are now possible with grobs:
+
+    - grobs now save()/load() like any normal R object.
+    - many grid.*() functions now have a *Grob() counterpart.  The
+      grid.*() version is used for its side-effect of drawing 
+      something or modifying something which has been drawn;  the
+      *Grob() version is used for its return value, which is a grob.
+      This makes it more convenient to just work with grob objects without
+      producing any graphical output (by using the *Grob() functions).
+    - there is a gTree object (derived from grob), which is a grob 
+      which can have children.  A gTree also has a "childrenvp" slot
+      which is a viewport which is pushed and then "up"ed before the
+      children are drawn;  this allows the children of a gTree to 
+      place themselves somewhere in the viewports specified in the
+      childrenvp by having a vpPath in their vp slot. 
+    - there is a gPath object, which is essentially a concatenation
+      of grob names.  This is used to specify the child of (a child of ...)
+      a gTree.
+    - there is a new API for creating/accessing/modifying grob objects:
+      grid.add(), grid.remove(), grid.edit(), grid.get() (and their
+      *Grob() counterparts can be used to add, remove, edit, or extract
+      a grob or the child of a gTree.  NOTE: the new grid.edit() API
+      is incompatible with the previous version.
+
+10. Added stringWidth(), stringHeight(), grobWidth(), and grobHeight()
+    convenience functions (they produce "strwidth", "strheight",
+    "grobwidth", and "grobheight" unit objects, respectively).
+
+11. Allowed viewports to turn off clipping altogether.  Possible settings
+    for viewport clip arg are now:
+
+      "on"      = clip to the viewport (was TRUE)
+      "inherit" = clip to whatever parent says (was FALSE)
+      "off"     = turn off clipping 
+
+    Still accept logical values (and NA maps to "off")
+
+
+Changes from grid_1.8.0 to grid_1.8.1:
+------------------------------------
+
+1.  I have effectively disabled the "mystrwidth", "mystrheight",
+    "mychars", and "mylines" units.  These are now identical in
+    behaviour to the equivalent units without the "my".
+
+    Another way to look at it is that I have modified the behaviour
+    of "lines", "chars", "strwidth", and "strheight" so that they
+    ALWAYS obey the latest gpar settings (including any gpar 
+    settings in a grob).  
+
+    Some examples ...
+
+    This text is sized AND positioned in terms of a fontsize of 6:
+
+      grid.text("small text and small lines", y=unit(2, "lines"), 
+                gp=gpar(fontsize=6))
+
+    This text is 6 pt in size, but is positioned in terms of the
+    (default on X11) fontsize 12:
+
+      push.viewport(viewport(y=unit(2, "lines")))
+      grid.text("small test and big lines", gp=gpar(fontsize=6))
+      pop.viewport()
+
+2.  Fixed a bug in the calculation of "grobwidth" and "grobheight"
+    units.  The following code demonstrates the problem (the black
+    rectangle should snugly bound the grey rectangles):
+
+      grid.newpage()
+      # Create a frame with fontsize=6
+      gf <- grid.frame(layout=grid.layout(10, 10,
+                       widths=unit(rep(1, 10), "strwidth",
+                         as.list(rep("o", 10))),
+                       heights=unit(rep(1, 10), "strheight",
+                         as.list(rep("o", 10)))),
+                     gp=gpar(fontsize=6))
+      # Add a rect to the frame
+      for (i in 1:10)
+        grid.place(gf, grid.rect(gp=gpar(col="grey"), draw=FALSE),
+                   col=i, row=i)
+      grid.draw(gf)
+      # Now draw a rect around the frame
+      grid.rect(width=unit(1, "grobwidth", gf),
+                height=unit(1, "grobheight", gf))
+
+3.  Fixed a bug in the implementation of the "cex" gpar.  This is now
+    used correctly in the transformation code in unit.c
+
+    The bug was demonstrated by the following simple example
+    (the second set of points should be twice the radius of the
+    first set of points):
+
+      grid.newpage()
+      push.viewport(viewport())
+      grid.points()
+      grid.points(gp = gpar(cex = 2))
+      
+    Another demonstration from the original bug report from David Hinds:
+
+      xyplot(1:4~1:4, cex=1:4, pch=1)
+
+4.  Fixed a bug in multiplication of scalar by unit object, when the
+    scalar has length > 1.  The following example demonstrates
+    the problem:
+
+      grid.segments(x0=1:3/4, y0=0.1, x1=1:3/4,
+                    y1=1:3/4*unit(1, "npc"))
+
+    This should behave the same as:
+
+      grid.segments(x0=1:3/4, y0=0.1, x1=1:3/4,
+                    y1=unit(1:3/4, "npc"))
+      
+
+Changes from grid_0.7-4 to grid_1.8.0:
+------------------------------------
+
+1.  grid.text() now checks that the rot argument is numeric and finite.
+
+2.  dataViewport() checks for is.null(<arg>) rather than missing(<arg>)
+    and has renamed arguments x and y to xData and yData.
+
+    All to avoid confusion with specifying x= and y= in the ... argument.
+
+    This also fortuitously fixed a bug in dataViewport where the 
+    calculation of the x-range was partially dependent on the y-range(!)
+
+    Thanks to Russell Norvell for spotting and reporting the bug.
+
+3.  unit() checks that units argument is character mode.
+
+    Fix for bug (first reported by Achim Zeileis) produced by, 
+    for example ...
+
+	unit(1, 2)
+
+4.  The function absolute.units() was recursive and now uses a loop.
+
+    Fixes the following problem (from Deepayan Sarkar):
+
+        gf <- grid.frame(layout = grid.layout(nrow=1, ncol=1), draw = FALSE)
+        grob.rect <- grid.rect(x = 1:99/100, y = 1:99/100,
+                               h = rep(.01, 100), w = rep(.05, 100),
+                               gp = gpar(col = terrain.colors(100)),
+                               draw = FALSE)
+        grid.pack(frame = gf, row = 1, col = 1,
+                  grob = grob.rect,
+                  draw = FALSE)
+        grid.draw(gf)  # Fails with stack overflow
+
+5.  There is now a grid.locator() function for interactively selecting
+    locations within the current grid viewport with a mouse.
+
+6.  There is a new grid.convert() function for converting between
+    different coordinate systems.  
+
+    The convertNative() function has been deprecated.
+
+7.  The default "top-level" viewport that is generated by grid
+    now has its "native" coordinate system set to the "native"
+    coordinate system of the device.  For example, "native"
+    units at the top-level correspond to points on a PostScript
+    device, pixels on an X11 device, and so on.
+
+    For example, try the following:
+
+        library(grid)
+	x11()
+	grid.rect(x=10, y=10, width=10, height=10,
+                 default.units="native")
+
+    This may cause consternation if you ever plot grid.points()
+    at the top-level because the default units for grid.points()
+    are "native" ... I consider this an unlikely occurrence.
+
+8.  Added a new gpar called "alpha" for specifying transparency.
+    This is supposed to be a number from 1 (opaque) to 0 (transparent).
+    No R devices will take any notice of this whatsoever as yet.
+
+9.  Modified "xaxis" and "yaxis" grobs so that they extend the 
+    "collection" class.  This means that, when a new generic function
+    is created, it may be possible to write methods just for the 
+    collection class and not also separate xaxis and yaxis methods.
+
+10. Modified unit subsetting so that logical indices work.  
+    For example ...
+
+        unit(1:4, "npc")[1:4 == 3]
+
+11. Fixed detaching/reloading of grid package (was causing an error).
+ 
+12. There is a new grid.arrows() primitive.  
+
+    See the help file for example usage.
+
+13. Grid is now a base package (hence version number leap!)
+
+
+Changes from grid_0.7-3 to grid_0.7-4:
+------------------------------------
+
+1.  Fixed the bug in the bug-fix in item 7. below.
+
+
+Changes from grid_0.7-2 to grid_0.7-3:
+------------------------------------
+
+1.  Properly removed "origin" settings from viewports.
+
+2.  Modified grid.pretty() slightly so that it would respond
+    sensibly/usefully to things like ...
+
+        grid.pretty(c(10, 0))
+
+    A side-effect of this is that the following sort of viewport
+    scale specifications become sensible/useful ...
+
+        push.viewport(viewport(layout=grid.layout(1, 2)))
+        push.viewport(viewport(layout.pos.col=1))
+        push.viewport(viewport(w=.8, h=.8,
+                               xscale=c(10,0)))
+        grid.points(1:10, 1:10/11)
+        grid.xaxis()
+        grid.yaxis()
+        pop.viewport(2)
+        push.viewport(viewport(layout.pos.col=2))
+        push.viewport(viewport(w=.8, h=.8,
+                               yscale=c(10,0)))
+        grid.points(1:10/11, 1:10)
+        grid.xaxis()
+        grid.yaxis()
+        pop.viewport(3)
+
+3.  Fixed the calculation of number of "vertices" in grid.lines so that
+    it is the maximum of length(x) and length(y).
+
+    Used to be calculated solely on length(x).
+
+4.  Grid now throws an error if you try to create a unit of length 0.
+
+    This to fix a bug reported by Bud Gibson, the essence of which was ...
+
+        grid.points(size=unit(numeric(0), "mm"))
+
+5.  The default value of the "at" argument for grid.xaxis() and
+    grid.yaxis() is NULL (was NA;  NA was inconsistent with other
+    default argument settings and basically a dumb idea)
+
+6.  Grid now throws an error if you try to create a gpar object with
+    an element of length 0.
+
+    This is to fix a bug reported by Michael Friendly (and diagnosed by
+    Brian Ripley), the essence of which was ...
+
+         grid.lines(gpar(fontsize=numeric(0)))
+
+7.  grid.text() now converts its label argument to a string.
+
+    This is to fix a bug where "grobwidth" or "grobheight" would 
+    segfault if given a text grob for which the label was not a string.
+    (The fix involved including a check for "mystrwidth" and "mystrheight"
+     units in valid.data).
+
+    The bug could be produced by ...
+    
+        grid.rect(w=unit(1, "grobwidth", data=grid.text(5)))
+    
+
+Changes from grid_0.7-1 to grid_0.7-2:
+-------------------------------------
+
+1.  Fixed some generic/method incompatibilities (pointed out by Kurt).
+
+
+Changes from grid_0.7 to grid_0.7-1:
+------------------------------------
+
+1.  Fixed a bug where layout matrix respect was not being applied to
+    the correct cell.  For example, the following caused the cell
+    1,3 to be respected rather than 1,2 ...
+
+	lt.resp <- matrix(0, 2, 3)
+	lt.resp[1,2] <- 1
+	grid.show.layout(grid.layout(2, 3, respect = lt.resp))
+
+    Reported by Deepayan Sarkar.
+
+
+Changes from grid_0.6 to grid_0.7:
+------------------------------------
+
+1.  The web pages for grid have moved to ...
+   
+	http://www.stat.auckland.ac.nz/~paul/grid/grid.html
+
+2.  Mathematical annotation is now available in grid.
+
+    Wherever grid expects a string, an expression may be used instead.
+    This covers not only producing mathematical annotation output,
+    but also correctly calculating width and height of expressions,
+    and checking for overlapping expressions.
+
+3.  If you try to save/load a grid grob, it will now fail gracefully
+    rather than seg faulting.
+
+4.  If you save a display list containing grid output, then detach
+    grid, then try to run the display list again, it will now fail 
+    gracefully rather than seg faulting.
+
+5.  All gpar() settings can now be vectors.  Well, they could always
+    be vectors, but now values other than the first one will have an
+    effect.  This will not happen in all contexts, for example, 
+    viewports will only take notice of the first value in each setting,
+    but for graphics functions where multiple items can be output,
+    multiple settings may be sensibly given.  Some examples are:
+
+    # multiple points with different colours
+    grid.points(1:10/11, 1:10/11, gp=gpar(col=1:10))
+
+    # multiple segments with different colours
+    grid.segments(1:10/11, 0, 1:10/11, 1, gp=gpar(col=1:10))
+
+    # multiple points with different sizes
+    grid.points(1:10/11, 1:10/11, size=unit(1:10, "mm"))
+
+    # multiple pieces of text with different font sizes
+    grid.text(1:10, x=1:10/11, gp=gpar(fontsize=10:20))
+
+    # multiple rects with different lineheights (and height is in "lines")
+    grid.rect(width=.05, x=1:10/11,
+              height=unit(1, "mylines"),
+              gp=gpar(lineheight=1:10))
+
+6.  (Because of a fix to R/src/main/engine.c ...)
+    Multiple-line text (i.e., text with "\n"s in it) is now correctly
+    spaced vertically (i.e., takes notice of the current value of 
+    "fontsize").
+    
+    NOTE, however, that multiple-line text still takes no notice of the
+    current value of "lineheight".
+
+7.  Fixed a bug in grid.layout().  It was the case that, if you 
+    entered widths or heights which were not unit objects, they
+    were not converted properly to unit objects.
+
+8.  Modified the defaulting of "just" arguments when a single value
+    is provided.  See the new example in grid.text.
+
+9.  Fixed a bug where grid.points(pch=NULL) would cause a crash.
+    This now defaults pch to the value 1.
+
+10. Added "fontfamily" and "fontface" gpar() settings.  The fontfamily
+    setting will mostly be ignored until devices are modified to take
+    notice of the extra information, BUT this can be used NOW to 
+    specify a Hershey Font family (on all devices).  The fontface 
+    setting is designed to take over from the old "face" setting,
+    but the latter is retained for backward compatibility.
+
+
+Changes from grid_0.5-1 to grid_0.6:
+------------------------------------
+
+1.  Some internal changes to speed up creation of unit objects.  
+    This may have a noticeable effect on drawing legends and anything 
+    that relies on grid frames (e.g., "key"s in lattice).
+
+2.  A couple of bug fixes for "grobwidth" and "grobheight" units.
+    Symptoms were legends not being allocated the correct amount of 
+    space.
+
+    Thanks to Deepayan Sarkar and Peter Kleiweg for help diagnosing
+    the bug and testing the fix.
+
+3.  Added plotViewport() and dataViewport() 
+    convenience function for creating a 
+    viewport that has the typical layout of an R plot.
+
+4.  Altered viewport() function so that layout.pos.row and layout.pos.col
+    can be specified as a sequence and only the range() of that 
+    sequence is used.
+
+5.  Removed most documentation from the package to reduce the download
+    size.  The user's guide and changes file are included with the
+    tar ball, but the other documents are only available via 
+    http://www.stat.auckland.ac.nz/PEOPLE/paul/grid/grid.html
+
+    Also changed the format of the user's guide from postscript to pdf.
+
+6.  Fixed bug in unit.length where the length of a unit.arithmetic object
+    was calculated incorrectly if the length() of the scalar multiplier
+    was longer than the unit.length() of the unit object being multiplied.
+
+7.  Allowed character settings for pch in grid.points()
+
+8.  The crash on Windows platforms when plot history is turned on
+    has been fixed in R version 1.5.  
+
+    This fix means that grid_0.6 will only run on R version >= 1.5.0
+
+9.  Added handling of NULL values for gpar elements.  Except for col
+    and fill, this now means the same as specifying no setting at all
+    for the element -- previous behaviour was a segfault.
+
+
+Changes from grid_0.5 to grid_0.5-1:
+------------------------------------
+
+1.  Fix for some grid bugs.
+    
+    The problems were:
+	(i)   grid output could not be saved in metafile format 
+	(ii)  non-grid output could not be saved in metafile format when
+	      grid was loaded
+	(iii) empty page at start of grid postscript output
+	(iv)  empty page at start of non-grid postscript output when
+	      grid was loaded
+	(v)   copying grid output from x11 to postscript (dev.copy)
+	      produced blank pages in postscript
+
+    These problems were due to two things in grid:
+	(i)  grid created a new page whenever a new device was started.
+	(ii) grid created a new page whenever the display list was
+	     replayed (e.g., when a device was resized or the output
+	     was copied from one device to another)
+
+    Grid now only creates a new page the first time grid output is
+    produced on a device AND only creates a new page for replaying
+    the display list IF there has already been grid output on the device.
+
+
+Changes from grid_0.2 to grid_0.5:
+----------------------------------
+
+1.  R has a new device API and a new graphics engine.  Grid uses these.
+
+    This means that this version will NOT work on R versions before 1.4.0
+
+    Another known "bug" is that this version of grid will crash R if
+    used in Windows with plot history recording turned on (although
+    "add"ing individual grid "plots" to the plot history should still
+    work).
+    
+2.  Added "mystrwidth" and "mystrheight" units;  basically these just
+    complete the set of units which depend on font, fontsize, and/or 
+    lineheight and therefore may refer to the current viewport settings
+    of these parameters OR to the current settings of the grob being
+    drawn.
+
+3.  Added unit.rep function (the base rep() function is not generic
+    so I could not simply write a rep.unit method).
+
+4.  Added new gpar, "gamma", for gamma-correction of colours
+    (defaults to 1).  NOTE that only windows devices will currently
+    respond to on-the-fly changes in gamma.
+
+5.  Added "clip" flag to viewports.  If "clip" is TRUE, then output
+    is clipped to the viewport.
+
+    Clipping obeys only the most recent viewport clip setting.
+    For example, if you clip to viewport1, then clip to viewport2,
+    the clipping region is determined wholly by viewport2, the
+    size and shape of viewport1 is irrelevant (until viewport2
+    is popped of course).
+
+    If a viewport is rotated (because of its own "angle" setting
+    or because it is within another viewport which is rotated) then
+    the "clip" flag is ignored.
+  
+6.  The functions grid.start() and grid.stop() have been removed.
+    grid automatically "registers" with devices.
+
+7.  Grid no longer automatically opens a device when it is loaded.
+    Instead, a device is created, if there are none open, when the
+    first drawing occurs or when the first viewport is pushed.
+
+8.  Added new functions unit.pmin() and unit.pmax() which are unit
+    versions of pmax() and pmin()
+
+9.  Added new function grid.place() which provides a simpler 
+    interface to grid.pack() and is useful for using grid "frame"s
+    as just a convenient way of defining a layout and sticking 
+    things in it.
+
+
+Changes from grid_0.1 to grid_0.2:
+----------------------------------
+
+1. Fixed bug in rotating viewports;  this should be more reliable now.
+
+2. Added grid.line.to() and grid.move.to().  These allow drawing BETWEEN
+   different coordinate systems.  See example in inst/doc/demo3.ps.
+
+3. Added some more demonstrations to the doc directory.
+
+4. Added more test code to the tests directory.
+
+5. Added "grobwidth" and "grobheight" units.  See the document
+   grid/inst/doc/advanced/parentchild.ps
+
+6. Added more detailed documentation to grid/inst/doc/advanced.  This
+   stuff is not as friendly for the reader, but may be useful if you're
+   tearing your hair out wondering why some strange effect is occurring.
+
+7. Changed frames and packing to use the new "grobwidth" and "grobheight"
+   units.  This fixes some problems with frames and packing.
+
+8. Fixed a bug where the gpar settings for "fontsize" and "lineheight"
+   _within a grob_ would not affect the location or size of the grob
+   if they were specified in "lines" or "char" units.
+
+   This required adding new "mylines" and "mychar" units (alternative
+   suggestions for names welcome !) so that you can specify whether
+   a grob's a location/size is in terms of the current viewport's
+   fontsize and lineheight ("lines" and "char") or in terms of its own
+   fontsize and lineheight ("mylines" and "mychar").
+
+9. Added grid.polygon() and grid.circle() primitives
+
+10. Added newpage=TRUE argument to grid.start() so that you can restart
+    grid graphics mode without having to move to a new page.
+
+    For example, try ...
+
+	postscript()
+	grid.start()
+	grid.polygon()
+	grid.stop()
+	grid.start() # moves to new page
+	grid.circle()
+	grid.stop()
+	grid.start(newpage=FALSE) # does NOT move to new page
+	grid.rect()
+	grid.stop()
+	dev.off()
+
+11. Changed interface for pop.viewport().  This now just takes a
+    number of viewports to pop, which defaults to 1.  
+    For example ...
+
+        push.viewport(viewport())
+	pop.viewport(current.viewport())
+
+    ... becomes ...
+    
+        push.viewport(viewport())
+	pop.viewport()
+
+    ... and ...
+
+        vp1 <- viewport()
+	vp2 <- viewport()
+	push.viewport(vp1, vp2)
+	pop.viewport(vp2, vp1)
+
+    ... becomes ...
+
+        vp1 <- viewport()
+	vp2 <- viewport()
+	push.viewport(vp1, vp2)
+	pop.viewport(2)
+	
+12. Speed-up of pushing and popping viewports.  This will probably not
+    be noticeable in normal usage, but makes a big difference for 
+    frames and packing.
+
+Changes from lattice_0.2 to grid_0.1:
+-------------------------------------
+
+0. Change of package name from "lattice" to "grid" (!!!!)
+
+   This means that most user functions have changed from l<something>
+   to grid.<something>
+
+1. Slight speed up of grid.push.viewport and grid.pop.viewport.
+
+2. Added sum() method for units.
+
+   For example, try ...
+
+       grid.rect(w=sum(unit(c(.25,.25), "npc")))
+       grid.rect(w=sum(unit(c(.25,.25), "npc"), unit(1, "cm")), border="red")
+
+3. Changed the usage of grid.edit() slightly.  If you want to specify 
+   several new values at once, you must use grid.prop.list() rather
+   than just list().  For example, for a single new value use ...
+
+       grid.edit(<grob>, col="red")
+
+   ... as before, but for multiple new values use ...
+
+       grid.edit(<grob>, grid.prop.list(col="red", lty="dashed"))
+
+   ... rather than ...
+   
+       grid.edit(<grob>, list(col="red", lty="dashed"))
+
+4. Added a new grid.frame() grob.  This acts a bit like a simple 
+   grid.collection() BUT controls the placement of its children.  
+   You add children using the grid.pack() function.
+
+5. All viewports and grobs now have a "gp" slot which contains a
+   "gpar" object.  This is a list of graphical parameters, which 
+   replaces the specification of individual graphical parameters
+   for each different type of grob.  
+
+   For example, instead of the old ...
+   
+       grid.rect(w=.8, h=.8, border="red")
+
+   ... we have the new ...
+
+       grid.rect(w=.8, h=.8, gp=gpar(border="red"))
+
+   This may seem like a loss (because you have to type more stuff),
+   and it is a loss, but the (hopefully greater) win is that (i) you only
+   have one parameter for all graphical settings, for example, ...
+
+       grid.rect(w=.8, h=.8, gp=gpar(border="red", lwd=3))
+
+   ... and (ii) this applies for all grobs, for example, ...
+
+       grid.text("hi", gp=gpar(col="red", fontsize=10))
+
+   ... and (iii) you can add more graphical parameters with minimal fuss,
+   for example, ...
+
+       grid.text("hi", gp=gpar(col="red", fontsize=10, new.par=whatever))
+
+   ... and (iv) its easier to automate things (see below).
+
+   Graphical parameter settings are "permanent" so, for example, if
+   an axis sets the colour to "red" then all of its children are
+   drawn in "red" unless they set colour to something else.
+
+   For example, try ...
+
+       grid.multipanel(vp = grid.viewport(0.5, 0.5, 0.8, 0.8, 
+                                          gp=gpar(fontsize=20)))
+
+   ... and notice that all of the components of the multipanel take
+   notice of the fontsize setting of the parent viewport (except the
+   axis labels because they explicitly set the fontsize to 20 themselves).
+
+   The setting of graphical parameters is automated;  
+   if you have a slot called "gp" in your grob, Lattice will
+   set the graphical parameters in that slot before calling
+   draw.details() and unset the parameters afterwards.
+
+6. The pushing and popping of "local" viewports has been automated.
+   If you have a slot called "vp" in your grob, Lattice will call
+   grid.push.viewport() on that slot before calling draw.details() 
+   and grid.pop.viewport() afterwards.
+
+7. "collection" grobs and "[x|y]axis" grobs no longer pass editing
+   operations down to their children.  
+
+   This was mainly (only ?) for sharing graphical parameter settings
+   and that duty is now performed by the gpar stuff in point 5 above.
+
+   This is a good thing because there are some cases where passing
+   down editing operations could cause serious damage.  For example, 
+   consider what would have happened if you had edited the "vp" slot
+   of a collection grob (!)
+
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/grid/doc/grid.Rnw
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/grid/doc/grid.Rnw	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/grid/doc/grid.Rnw	(revision 3761)
@@ -0,0 +1,652 @@
+% File src/library/grid/vignettes/grid.Rnw
+% Part of the R package, https://www.R-project.org
+% Copyright 2001-13 Paul Murrell and the R Core Team
+% Distributed under GPL 2 or later
+
+\documentclass[a4paper]{article}
+
+\usepackage{Rd}
+
+% \VignetteIndexEntry{Introduction to grid}
+% \VignettePackage{grid}
+
+% Definitions
+\newcommand{\slan}{{\sffamily S}}
+\newcommand{\rlan}{{\sffamily R}}
+\newcommand{\grid}{\pkg{grid}}
+\newcommand{\lattice}{\CRANpkg{lattice}}
+
+\setlength{\parindent}{0in}
+\setlength{\parskip}{.1in}
+\setlength{\textwidth}{140mm}
+\setlength{\oddsidemargin}{10mm}
+
+\title{\grid{} Graphics}
+\author{Paul Murrell}
+
+\begin{document}
+
+\maketitle
+
+<<echo=FALSE, results=hide>>=
+library(grDevices)
+library(graphics) # for par
+library(stats) # for rnorm
+library(grid)
+ps.options(pointsize = 12)
+options(width = 60)
+@
+\grid{} is a low-level graphics system which provides a great deal
+of control and flexibility in the appearance and arrangement of
+graphical output.  \grid{} does not provide high-level functions which
+create complete plots.  What it does provide is a basis for developing
+such high-level functions (e.g., the \lattice{} and \CRANpkg{ggplot2}
+packages), the facilities for customising and manipulating \lattice{}
+output, the ability to produce high-level plots or non-statistical
+images from scratch, and the ability to add sophisticated annotations
+to the output from base graphics functions (see the \CRANpkg{gridBase}
+package).
+
+This document provides an introduction to the fundamental concepts
+underlying the \grid{} package:  {\bf viewports}, {\bf units}, and
+{\bf graphical parameters}.  There are also several examples to
+demonstrate what can be achieved and how to achieve it.
+
+The description of the fundamental \grid{} concepts is predicated on the
+following approach to constructing a statistical graphic
+(plot).  You must be able to:
+\begin{enumerate}
+\item create and control different graphical regions
+and coordinate systems.
+\item control which graphical region and
+coordinate system graphical output goes into.
+\item produce graphical output (lines, points, text, \ldots{})
+including controlling its appearance (colour, line type, line width, \ldots{}).
+\end{enumerate}
+
+\section{Creating and Controlling Graphics Regions and Coordinate Systems}
+
+In \grid{} there can be any number of graphics regions.  A graphics
+region is referred to as a \emph{viewport} and is created using the
+\code{viewport()} function.  A viewport can be positioned anywhere on
+a graphics device (page, window, \ldots{}), it can be rotated, and it can
+be clipped to.  The following code describes a viewport which is
+centred within the page, and is half
+the width of the page, one quarter of the height of the page,
+and rotated $45^{\circ}$;  Figure \ref{figure:viewport}
+shows a diagram of this viewport.
+
+<<eval=FALSE>>=
+viewport(x = 0.5, y = 0.5, width = 0.5, height = 0.25, angle=45)
+<<viewport, echo=FALSE, results=hide, fig=TRUE, width=6, height=6, include=FALSE>>=
+grid.show.viewport(viewport(x = 0.5, y = 0.5, width = 0.5, height = 0.25,
+                            angle = 45))
+@
+\begin{figure}[p]
+\begin{center}
+{
+\includegraphics[width=3.5in, height=3.5in]{grid-viewport}
+}
+\end{center}
+\caption{
+  \label{figure:viewport}
+  A diagram of a simple \grid{} viewport (produced using the
+  \code{grid.show.viewport()} function.}
+\end{figure}
+
+The object returned by the \code{viewport()} function is only a
+\emph{description} of a graphics region.  A graphics region is only
+created on a graphics device when a viewport is ``pushed'' onto that
+device.  This is achieved using the \code{pushViewport()} function.
+Each device has only one ``current viewport'' (by default this is the
+entire device surface), but it maintains a ``tree'' of viewports that
+have been pushed.  The current viewport is a node on the viewport
+tree.  The \code{pushViewport()} function adds a viewport as a leaf of
+the tree -- the previous ``current viewport'' becomes the parent of
+this leaf and the new leaf becomes the current viewport.  The
+\code{popViewport()} function prunes the current viewport (and all its
+children) from the tree -- the parent of the pruned leaf becomes the
+current viewport.  The function \code{upViewport()} acts like
+\code{popViewport()} in terms of setting the current viewport, but
+does not prune the previous ``current viewport''.  The
+\code{downViewport()} function navigates down the tree to a viewport
+which has been specified by name (it adds no new viewports to the
+tree).  This means that there is always only one graphics region
+selected to draw into, but it is possible to return to a previous
+graphics region through the appropriate set of push/pop/up/down
+operations.
+
+As an example, the following code creates a graphics
+region in the top-left corner of the page using \code{pushViewport()}.
+This viewport is given the name \code{"vp1"}.
+It then does some drawing and calls \code{upViewport()} to return
+to the root of the viewport tree.  Next, it
+creates another region in the bottom-right corner of the page
+(again using \code{pushViewport()}) and does
+some drawing there.  Finally, it performs an \code{upViewport()}
+to the root of the tree and a \code{downViewport()} to
+return to the first graphics region and
+does some more drawing there (see Figure \ref{figure:viewports}).
+
+<<pushviewports, results=hide, fig=TRUE, width=6, height=6, include=FALSE>>=
+grid.rect(gp = gpar(lty = "dashed"))
+vp1 <- viewport(x = 0, y = 0.5, w = 0.5, h = 0.5,
+                just = c("left", "bottom"), name = "vp1")
+vp2 <- viewport(x = 0.5, y = 0, w = 0.5, h = 0.5,
+                just = c("left", "bottom"))
+pushViewport(vp1)
+grid.rect(gp = gpar(col = "grey"))
+grid.text("Some drawing in graphics region 1", y = 0.8)
+upViewport()
+pushViewport(vp2)
+grid.rect(gp = gpar(col = "grey"))
+grid.text("Some drawing in graphics region 2", y = 0.8)
+upViewport()
+downViewport("vp1")
+grid.text("MORE drawing in graphics region 1", y = 0.2)
+popViewport()
+@
+\begin{figure}[p]
+\begin{center}
+{
+\includegraphics[width=3.5in, height=3.5in]{grid-pushviewports}
+}
+\end{center}
+\caption{\label{figure:viewports}
+        Defining and drawing in multiple graphics regions.}
+\end{figure}
+@
+When several viewports are pushed onto the viewport tree, leaf
+viewports are located and sized within the context of their parent
+viewports.  The following code gives an example;  a viewport is defined
+which is one-quarter the size of its parent (half the width and half the
+height), and this viewport is pushed twice. The first time it
+gets pushed the parent is the root of the viewport tree (which is the
+entire device) so it is quarter of the size of the page.
+The second time the viewport is pushed,
+it is quarter of the size of \emph{its parent viewport}.
+Figure \ref{figure:vpstack} shows the output of these
+commands.
+
+<<vpstack, results=hide, fig=TRUE, width=6, height=6, include=FALSE>>=
+grid.rect(gp = gpar(lty = "dashed"))
+vp <- viewport(width = 0.5, height = 0.5)
+pushViewport(vp)
+grid.rect(gp = gpar(col = "grey"))
+grid.text("quarter of the page", y = 0.85)
+pushViewport(vp)
+grid.rect()
+grid.text("quarter of the\nprevious viewport")
+popViewport(2)
+@
+\begin{figure}[p]
+\begin{center}
+{
+\includegraphics[width=3.5in, height=3.5in]{grid-vpstack}
+}
+\end{center}
+\caption{\label{figure:vpstack}
+        The result of pushing the same viewport onto the viewport
+stack twice.}
+\end{figure}
+@
+
+Each viewport has a number of coordinate systems available.  The full
+set is described in Table \ref{table:coords}, but there are four main
+types: absolute coordinates (e.g., \code{"inches"}, \code{"cm"}) allow
+locations and sizes in terms of physical coordinates -- there is no
+dependence on the size of the page; normalised coordinates (e.g.,
+\code{"npc"}) allow locations and sizes as a proportion of the page
+size (or the current viewport); relative coordinates (i.e.,
+\code{"native"}) allow locations and sizes relative to a user-defined
+set of x- and y-ranges; referential coordinates (e.g.,
+\code{"strwidth"}) where locations and sizes are based on the size of
+some other graphical object.
+
+It is possible to specify the coordinate system
+for relative coordinates, but all other coordinate systems
+are implicitly defined based on the location and size of the viewport
+and/or the size of other graphical objects.
+
+\begin{table}[p]
+\begin{center}
+\begin{tabular}{l l} \hline
+{\bf Coordinate} & \\
+{\bf System Name} & {\bf Description} \\ \hline
+\code{"npc"} & \parbox[t]{3in}{Normalised Parent Coordinates.  Treats
+the bottom-left corner of the current
+viewport as the location $(0, 0)$ and the top-right corner
+as $(1,1)$. }  \\
+\code{"native"} & \parbox[t]{3in}{Locations and sizes are relative
+to the x- and y-scales for the current viewport.} \\
+\code{"inches"} & \parbox[t]{3in}{Locations and sizes are in terms
+of physical inches.  For locations, $(0,0)$ is at the bottom-left
+of the viewport.} \\
+\code{"cm"} & \parbox[t]{3in}{Same as \code{"inches"}, except in
+centimetres.} \\
+\code{"mm"} & \parbox[t]{3in}{Millimetres.} \\
+\code{"points"} & \parbox[t]{3in}{Points.  There are 72.27 points per inch.} \\
+\code{"bigpts"} & \parbox[t]{3in}{Big points. There are 72 big points per inch.} \\
+\code{"picas"} & \parbox[t]{3in}{Picas.  There are 12 points per pica.} \\
+\code{"dida"} & \parbox[t]{3in}{Dida.  1157 dida equals 1238 points. } \\
+\code{"cicero"} & \parbox[t]{3in}{Cicero.  There are 12 dida per cicero. } \\
+\code{"scaledpts"} & \parbox[t]{3in}{Scaled points. There are 65536 scaled
+points per point. } \\
+\code{"char"} & \parbox[t]{3in}{Locations and sizes are specified in
+terms of multiples of the current nominal \code{fontheight}.} \\
+\code{"lines"} & \parbox[t]{3in}{Locations and sizes are specified in
+terms of multiples of the height of a line of text
+ (dependent on both the current \code{fontsize} and
+the current \code{lineheight}).} \\
+\code{"snpc"} & \parbox[t]{3in}{Square Normalised Parent Coordinates.
+Locations and size are expressed as a proportion of the \emph{smaller}
+of the
+width and height of the current viewport.} \\
+\code{"strwidth"} & \parbox[t]{3in}{Locations and sizes are
+expressed as multiples of the width of a given string (dependent
+on the string and the current \code{fontsize}).} \\
+\code{"strheight"} & \parbox[t]{3in}{Locations and sizes are
+expressed as multiples of the height of a given string (dependent
+on the string and the current \code{fontsize}).} \\
+\code{"grobwidth"} & \parbox[t]{3in}{Locations and sizes are
+expressed as multiples of the width of a given graphical object
+(dependent on the current state of the graphical object). } \\
+\code{"grobheight"} & \parbox[t]{3in}{Locations and sizes are
+expressed as multiples of the height of a given graphical object
+(dependent on the current state of the graphical object). } \\
+\hline
+\end{tabular}
+\end{center}
+\caption{\label{table:coords}
+         The full set of coordinate systems available in \grid{}
+viewports.}
+\end{table}
+
+
+\section{Directing Graphics Output into Different \\Graphics Regions
+and Coordinate Systems}
+
+Graphics output is always relative to the current viewport (on the
+current device).  Selecting which region you want is a matter of
+push/pop/up/downing the appropriate viewports.  However, that is not
+all;  every viewport has a number of coordinate systems associated with
+it, so it is also necessary to select the coordinate system that you
+want to work with.
+
+The selection of which coordinate system to use within the current
+viewport is made using the \code{unit()} function.  The
+\code{unit()} function creates an object which is a combination
+of a value and a coordinate system (plus  some extra
+information for certain coordinate systems).  Here are some examples
+from the \code{help(unit)} page:
+
+<<units>>=
+unit(1, "npc")
+unit(1:3/4, "npc")
+unit(1:3/4, "npc")[2]
+unit(1:3/4, "npc") + unit(1, "inches")
+min(unit(0.5, "npc"), unit(1, "inches"))
+unit.c(unit(0.5, "npc"), unit(2, "inches") + unit(1:3/4, "npc"),
+       unit(1, "strwidth", "hi there"))
+@
+Notice that unit objects are treated much like numeric vectors.  You
+can index a unit object, it is possible to do simple arithmetic
+(including \code{min} and \code{max}), and there are several
+unit-versions of common functions (e.g., \code{unit.c},
+\code{unit.rep}, and \code{unit.length}; \code{unit.pmin}, and
+\code{unit.pmax})).
+
+\grid{} functions that have arguments specifying locations and sizes
+typically assume a default coordinate system is being used.  Most
+often this default is \code{"npc"}.  In other words, if a raw numeric
+value, \code{x}, is specified this is implicitly taken to mean
+\code{unit(x, "npc")}.  The \code{viewport()} function is one that
+assumes \code{"npc"} coordinates, so in all of the viewport examples
+to this point, we have only used \code{"npc"} coordinates to position
+viewports within the page or within each other.  It is also possible
+to position viewports using any of the coordinate systems described in
+Table \ref{table:coords}.
+
+As an example, the following code makes use of \code{"npc"},
+\code{"native"}, \code{"inches"}, and \code{"strwidth"}
+coordinates.  It first pushes a viewport with a user-defined
+x-scale, then pushes another viewport which is centred at the x-value
+60 and half-way up the first viewport, and
+is 3 inches high\footnote{If you want to check the figure, the scaling
+factor is $3.5/6$ (i.e., the rectangle in the figure should be 1.75\code{"} or
+3.94cm high).}  and as wide as the text ``coordinates for everyone''.
+Figure \ref{figure:vpcoords} shows the resulting output.
+
+<<vpcoords, results=hide, fig=TRUE, width=6, height=6, include=FALSE>>=
+pushViewport(viewport(y = unit(3, "lines"), width = 0.9, height = 0.8,
+                      just = "bottom", xscale = c(0, 100)))
+grid.rect(gp = gpar(col = "grey"))
+grid.xaxis()
+pushViewport(viewport(x = unit(60, "native"), y = unit(0.5, "npc"),
+                      width = unit(1, "strwidth", "coordinates for everyone"),
+                      height = unit(3, "inches")))
+grid.rect()
+grid.text("coordinates for everyone")
+popViewport(2)
+@
+\begin{figure}[p]
+\begin{center}
+{
+\includegraphics[width=3.5in, height=3.5in]{grid-vpcoords}
+}
+\end{center}
+\caption{\label{figure:vpcoords}
+        A viewport positioned using a variety of coordinate systems.}
+\end{figure}
+
+\clearpage
+\subsection{Layouts}
+
+\grid{} provides an alternative method for positioning viewports
+within each other based on \emph{layouts}\footnote{The primary reference
+for layouts is \cite{murrell:1999}.  Layouts in \grid{} represent
+an extension of the idea to allow a greater range of units for
+specifying row heights and column widths. \grid{} also differs in the
+way that children of the layout specify their location within the layout.}.
+A layout may be specified
+for any viewport.  Any viewport pushed immediately after a viewport
+containing a layout may specify its location with respect to that
+layout.  In the following simple example, a viewport is pushed
+with  a layout
+with 4 rows and 5 columns, then another viewport is pushed which
+occupies the second and third columns of the third row of the layout.
+
+<<vplayout, results=hide, fig=TRUE, width=6, height=6, include=FALSE>>=
+pushViewport(viewport(layout = grid.layout(4, 5)))
+grid.rect(gp = gpar(col = "grey"))
+grid.segments(c(1:4/5, rep(0, 3)), c(rep(0, 4), 1:3/4),
+              c(1:4/5, rep(1, 3)), c(rep(1, 4), 1:3/4),
+              gp = gpar(col = "grey"))
+pushViewport(viewport(layout.pos.col = 2:3, layout.pos.row = 3))
+grid.rect(gp = gpar(lwd = 3))
+popViewport(2)
+@
+\begin{figure}[tbp]
+\begin{center}
+{
+\includegraphics[width=3.5in, height=3.5in]{grid-vplayout}
+}
+\end{center}
+\caption{\label{figure:vplayout}
+        A viewport positioned using a layout.}
+\end{figure}
+
+Layouts introduce a special sort of unit called \code{"null"}.  These
+can be used in layouts to specify relative column-widths or
+row-heights.  In the following, slightly more complex, example, the
+layout specifies something similar to a standard plot arrangement;
+there are bottom and left margins 3 lines of text wide, top and right
+margins 1cm wide, and two rows and columns within these margins where
+the bottom row is twice the height of the top row (see Figure
+\ref{figure:vplayoutcomplex}).
+
+<<layoutcomplex, results=hide, fig=TRUE, width=6, height=6, include=FALSE>>=
+grid.show.layout(grid.layout(4, 4, widths = unit(c(3, 1, 1, 1),
+                             c("lines", "null", "null", "cm")),
+                             heights = c(1, 1, 2, 3),
+                             c("cm", "null", "null", "lines")))
+@
+\begin{figure}[tbp]
+\begin{center}
+{
+\includegraphics[width=3.5in, height=3.5in]{grid-layoutcomplex}
+}
+\end{center}
+\caption{\label{figure:vplayoutcomplex}
+        A more complex layout.}
+\end{figure}
+
+\clearpage
+\section{Producing Graphics Output}
+
+\grid{} provides a standard set of graphical primitives: lines,
+text, points, rectangles, polygons, and circles.  There are also
+two higher level components:  x- and y-axes.  Table \ref{table:primitives}
+lists the \grid{} functions that produce these primitives.
+
+{\bf NOTE:} all of these graphical primitives are available in
+all graphical regions and coordinate systems.
+
+There used to be (prior to R 2.3.0) a separate \code{grid.arrows()}
+function, but this has been superseded by an \code{arrow} argument
+to the line-drawing primitives (lines, segments, line-to).
+
+\begin{table}[h!]
+\begin{center}
+\begin{tabular}{l l} \hline
+\code{grid.text} & Can specify angle of rotation. \\
+\code{grid.rect} &  \\
+\code{grid.circle} &  \\
+\code{grid.polygon} &  \\
+\code{grid.points} & Can specify type of plotting symbol. \\
+\code{grid.lines} &  \\
+\code{grid.segments} &  \\
+\code{grid.grill} & Convenience function for drawing grid lines \\
+\code{grid.move.to} &  \\
+\code{grid.line.to} &  \\
+& \\
+\code{grid.xaxis} & Top or bottom axis \\
+\code{grid.yaxis} & Left or right axis \\
+\hline
+\end{tabular}
+\end{center}
+\caption{\label{table:primitives}
+         \grid{} graphical primitives.}
+\end{table}
+
+
+\subsection{Controlling the Appearance of Graphics Output}
+
+\grid{} recognises a fixed set of graphical parameters for modifying
+the appearance of graphical output (see Table \ref{table:gpars}).
+
+\begin{table}[h!]
+\begin{center}
+\begin{tabular}{l l} \hline
+\code{col} & colour of lines, text, \ldots{} \\
+\code{fill} & colour for filling rectangles, circles, polygons, \ldots{} \\
+\code{lwd} & line width \\
+\code{lty} & line type \\
+\code{fontsize} & The size of text (in points) \\
+\code{fontface} &  The font face (bold, italic, \ldots{}) \\
+\code{fontfamily} & The font family \\
+\hline
+\end{tabular}
+\end{center}
+\caption{\label{table:gpars}
+         \grid{} graphical parameters.}
+\end{table}
+
+Graphical parameter settings may be specified for both viewports
+and graphical objects.  A graphical parameter setting for a viewport
+will hold for all graphical output within that viewport {\em and} for
+all viewports subsequently pushed onto the viewport stack, {\em unless}
+the graphical object or viewport specifies a different parameter
+setting.
+
+A description of graphical parameter settings is created using
+the \code{gpar()} function, and this description is associated with a
+viewport or a graphical object via the \code{gp} argument.
+The following code demonstrates the effect of graphical parameter
+settings (see Figure \ref{figure:gpar}).
+
+<<gpar, results=hide, fig=TRUE, width=6, height=6, include=FALSE>>=
+pushViewport(viewport(gp = gpar(fill = "grey", fontface = "italic")))
+grid.rect()
+grid.rect(width = 0.8, height = 0.6, gp = gpar(fill = "white"))
+grid.text(paste("This text and the inner rectangle",
+                "have specified their own gpar settings", sep = "\n"),
+          y = 0.75, gp = gpar(fontface = "plain"))
+grid.text(paste("This text and the outer rectangle",
+                "accept the gpar settings of the viewport", sep = "\n"),
+          y = 0.25)
+popViewport()
+@
+\begin{figure}[tbp]
+\begin{center}
+{
+\includegraphics[width=3.5in, height=3.5in]{grid-gpar}
+}
+\end{center}
+\caption{\label{figure:gpar}
+        The effect of different graphical parameter settings.}
+\end{figure}
+
+\clearpage
+\section{Examples}
+
+The remaining sections provide some code examples of the use
+of \grid{}.
+
+The first example constructs a simple scatterplot from first
+principles.
+Just like in base graphics, it is quite straightforward
+to create a simple plot by hand.  The following code produces the equivalent
+of a  standard \code{plot(1:10)} (see Figure \ref{figure:simpleplot}).
+
+<<simpleplot, results=hide, fig=TRUE, width=6, height=6, include=FALSE>>=
+grid.rect(gp = gpar(lty = "dashed"))
+x <- y <- 1:10
+pushViewport(plotViewport(c(5.1, 4.1, 4.1, 2.1)))
+pushViewport(dataViewport(x, y))
+grid.rect()
+grid.xaxis()
+grid.yaxis()
+grid.points(x, y)
+grid.text("1:10", x = unit(-3, "lines"), rot = 90)
+popViewport(2)
+@
+\begin{figure}[p]
+\begin{center}
+{
+\includegraphics[width=3.5in, height=3.5in]{grid-simpleplot}
+}
+\end{center}
+\caption{\label{figure:simpleplot}
+        The grid equivalent of \code{plot(1:10)}.}
+\end{figure}
+
+Now consider a more complex example, where we create a barplot
+with a legend (see Figure \ref{figure:barplot}).
+There are two main parts to this because
+grid has no predefined barplot function;  the construction of the
+barplot will itself be instructive, so we will start with just that.
+
+The data to be plotted are as follows:  we have four measures to
+represent at four levels;  the data are in a matrix with the measures
+for each level in a column.
+
+<<bpdata>>=
+barData <- matrix(sample(1:4, 16, replace = TRUE), ncol = 4)
+@
+We will use colours to differentiate
+the measures.
+
+<<barconstraint>>=
+boxColours <- 1:4
+@
+We create the barplot within a function so that we can easily
+reproduce it when we combine it with the legend.
+
+<<bpfun>>=
+bp <- function(barData) {
+    nbars <- dim(barData)[2]
+    nmeasures <- dim(barData)[1]
+    barTotals <- rbind(rep(0, nbars), apply(barData, 2, cumsum))
+    barYscale <- c(0, max(barTotals)*1.05)
+    pushViewport(plotViewport(c(5, 4, 4, 1),
+                              yscale = barYscale,
+                              layout = grid.layout(1, nbars)))
+    grid.rect()
+    grid.yaxis()
+    for (i in 1:nbars) {
+        pushViewport(viewport(layout.pos.col = i, yscale = barYscale))
+        grid.rect(x = rep(0.5, nmeasures),
+                  y = unit(barTotals[1:nmeasures, i], "native"),
+                  height = unit(diff(barTotals[,i]), "native"),
+                  width = 0.8, just = "bottom", gp = gpar(fill = boxColours))
+        popViewport()
+    }
+    popViewport()
+}
+@
+
+Now we turn our attention to the legend.  We need some labels
+and we will enforce the constraint that the boxes in the legend should
+be 0.5\code{"} square:
+
+<<legendlabels>>=
+legLabels <- c("Group A", "Group B", "Group C", "Something Longer")
+boxSize <- unit(0.5, "inches")
+@
+
+The following draws the legend elements in a column, with each
+element consisting of a box with a label beneath.
+
+<<legfun>>=
+leg <- function(legLabels) {
+    nlabels <- length(legLabels)
+    pushViewport(viewport(layout = grid.layout(nlabels, 1)))
+    for (i in 1:nlabels) {
+        pushViewport(viewport(layout.pos.row = i))
+        grid.rect(width = boxSize, height = boxSize, just = "bottom",
+                  gp = gpar(fill = boxColours[i]))
+        grid.text(legLabels[i], y = unit(0.5, "npc") - unit(1, "lines"))
+        popViewport()
+    }
+    popViewport()
+}
+@
+
+Now that we have the two components, we can arrange them together to
+form a complete image.  Notice that we can perform some calculations
+to make sure that we leave enough room for the legend, including
+1 line of text as left and right margins.  We also impose top and bottom
+margins on the legend to match the plot margins.
+
+<<barplot, results=hide, fig=TRUE, width=6, height=6, include=FALSE>>=
+grid.rect(gp = gpar(lty = "dashed"))
+legend.width <- max(unit(rep(1, length(legLabels)),
+                         "strwidth", as.list(legLabels)) +
+                    unit(2, "lines"),
+                    unit(0.5, "inches") + unit(2, "lines"))
+pushViewport(viewport(layout = grid.layout(1, 2,
+                      widths = unit.c(unit(1,"null"), legend.width))))
+pushViewport(viewport(layout.pos.col = 1))
+bp(barData)
+popViewport()
+pushViewport(viewport(layout.pos.col = 2))
+pushViewport(plotViewport(c(5, 0, 4, 0)))
+leg(legLabels)
+popViewport(3)
+@
+\begin{figure}[p]
+\begin{center}
+{
+\includegraphics[width=3.5in, height=3.5in]{grid-barplot}
+}
+\end{center}
+\caption{\label{figure:barplot}
+        A barplot plus legend from first principles using \grid{}.}
+\end{figure}
+
+
+\section{\grid{} and \lattice{}}
+
+The \lattice{} package is built on top of \grid{} and provides a
+quite sophisticated example of writing high-level plotting functions
+using \grid{}.  Because \lattice{} consists of \grid{} calls, it is
+possible to both add \grid{} output to \lattice{} output, and
+\lattice{} output to \grid{} output.
+
+The ``grid'' vignette in the \lattice{} package provides some examples.
+
+\bibliographystyle{plain}
+\bibliography{grid}
+
+\end{document}
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/grid/doc/plotexample.R
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/grid/doc/plotexample.R	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/grid/doc/plotexample.R	(revision 3761)
@@ -0,0 +1,465 @@
+### R code from vignette source 'plotexample.Rnw'
+
+###################################################
+### code chunk number 1: plotexample.Rnw:33-38
+###################################################
+library(grDevices)
+library(stats) # for runif()
+library(grid)
+ps.options(pointsize=12)
+options(width=60)
+
+
+###################################################
+### code chunk number 2: plotexample.Rnw:93-95
+###################################################
+x <- runif(10)
+y <- runif(10)
+
+
+###################################################
+### code chunk number 3: datavp
+###################################################
+data.vp <- viewport(x = unit(5, "lines"),
+                    y = unit(4, "lines"),
+                    width = unit(1, "npc") - unit(7, "lines"),
+                    height = unit(1, "npc") - unit(7, "lines"),
+                    just = c("left", "bottom"),
+                    xscale = range(x) + c(-0.05, 0.05)*diff(range(x)),
+                    yscale = range(y) + c(-0.05, 0.05)*diff(range(y)))
+
+
+###################################################
+### code chunk number 4: procplot
+###################################################
+pushViewport(data.vp)
+grid.points(x, y)
+grid.rect()
+grid.xaxis()
+grid.yaxis()
+grid.text("x axis", y = unit(-3, "lines"),
+          gp = gpar(fontsize = 14))
+grid.text("y axis", x = unit(-4, "lines"),
+          gp = gpar(fontsize = 14), rot = 90)
+grid.text("A Simple Plot",
+          y = unit(1, "npc") + unit(1.5, "lines"),
+          gp = gpar(fontsize = 16))
+popViewport()
+
+
+###################################################
+### code chunk number 5: plotexample.Rnw:130-131
+###################################################
+pushViewport(data.vp)
+grid.points(x, y)
+grid.rect()
+grid.xaxis()
+grid.yaxis()
+grid.text("x axis", y = unit(-3, "lines"),
+          gp = gpar(fontsize = 14))
+grid.text("y axis", x = unit(-4, "lines"),
+          gp = gpar(fontsize = 14), rot = 90)
+grid.text("A Simple Plot",
+          y = unit(1, "npc") + unit(1.5, "lines"),
+          gp = gpar(fontsize = 16))
+popViewport()
+
+
+###################################################
+### code chunk number 6: ann1
+###################################################
+pushViewport(data.vp)
+grid.text(date(), x = unit(1, "npc"), y = 0,
+          just = c("right", "bottom"), gp = gpar(col="grey"))
+popViewport()
+
+
+###################################################
+### code chunk number 7: plotexample.Rnw:147-149
+###################################################
+pushViewport(data.vp)
+grid.points(x, y)
+grid.rect()
+grid.xaxis()
+grid.yaxis()
+grid.text("x axis", y = unit(-3, "lines"),
+          gp = gpar(fontsize = 14))
+grid.text("y axis", x = unit(-4, "lines"),
+          gp = gpar(fontsize = 14), rot = 90)
+grid.text("A Simple Plot",
+          y = unit(1, "npc") + unit(1.5, "lines"),
+          gp = gpar(fontsize = 16))
+popViewport()
+pushViewport(data.vp)
+grid.text(date(), x = unit(1, "npc"), y = 0,
+          just = c("right", "bottom"), gp = gpar(col="grey"))
+popViewport()
+
+
+###################################################
+### code chunk number 8: plotexample.Rnw:164-185
+###################################################
+data.vp <- viewport(name = "dataregion",
+                    x = unit(5, "lines"),
+                    y = unit(4, "lines"),
+                    width = unit(1, "npc") - unit(7, "lines"),
+                    height = unit(1, "npc") - unit(7, "lines"),
+                    just = c("left", "bottom"),
+                    xscale = range(x) + c(-0.05, 0.05)*diff(range(x)),
+                    yscale = range(y) + c(-0.05, 0.05)*diff(range(y)))
+pushViewport(data.vp)
+grid.points(x, y)
+grid.rect()
+grid.xaxis()
+grid.yaxis()
+grid.text("x axis", y = unit(-3, "lines"),
+          gp = gpar(fontsize = 14))
+grid.text("y axis", x = unit(-4, "lines"),
+          gp = gpar(fontsize = 14), rot = 90)
+grid.text("A Simple Plot",
+          y = unit(1, "npc") + unit(1.5, "lines"),
+          gp = gpar(fontsize = 16))
+upViewport()
+
+
+###################################################
+### code chunk number 9: plotexample.Rnw:191-195
+###################################################
+downViewport("dataregion")
+grid.text(date(), x = unit(1, "npc"), y  =  0,
+          just = c("right", "bottom"), gp = gpar(col = "grey"))
+upViewport()
+
+
+###################################################
+### code chunk number 10: funcplot
+###################################################
+splot <- function(x = runif(10), y = runif(10), title = "A Simple Plot") {
+    data.vp <- viewport(name = "dataregion",
+                        x = unit(5, "lines"),
+                        y = unit(4, "lines"),
+                        width = unit(1, "npc") - unit(7, "lines"),
+                        height = unit(1, "npc") - unit(7, "lines"),
+                        just = c("left", "bottom"),
+                        xscale = range(x) + c(-.05, .05)*diff(range(x)),
+                        yscale = range(y) + c(-.05, .05)*diff(range(y)))
+    pushViewport(data.vp)
+    grid.points(x, y)
+    grid.rect()
+    grid.xaxis()
+    grid.yaxis()
+    grid.text("y axis", x = unit(-4, "lines"),
+              gp = gpar(fontsize = 14), rot = 90)
+    grid.text(title, y = unit(1, "npc") + unit(1.5, "lines"),
+              gp = gpar(fontsize = 16))
+    upViewport()
+}
+
+
+###################################################
+### code chunk number 11: embed
+###################################################
+grid.rect(gp = gpar(fill = "grey"))
+message <-
+    paste("I could draw all sorts",
+          "of stuff over here",
+          "then create a viewport",
+          "over there and stick",
+          "a scatterplot in it.", sep = "\n")
+grid.text(message, x = 0.25)
+grid.lines(x = unit.c(unit(0.25, "npc") + 0.5*stringWidth(message) +
+           unit(2, "mm"),
+           unit(0.5, "npc") - unit(2, "mm")),
+           y = 0.5,
+           arrow = arrow(angle = 15, type = "closed"),
+           gp = gpar(lwd = 3, fill = "black"))
+pushViewport(viewport(x = 0.5, height = 0.5, width = 0.45, just = "left",
+                      gp = gpar(cex = 0.5)))
+grid.rect(gp = gpar(fill = "white"))
+splot(1:10, 1:10, title = "An Embedded Plot")
+upViewport()
+
+
+###################################################
+### code chunk number 12: ann2 (eval = FALSE)
+###################################################
+## downViewport("dataregion")
+## grid.text(date(), x = unit(1, "npc"), y  =  0,
+##           just = c("right", "bottom"), gp = gpar(col = "grey"))
+## upViewport(0)
+
+
+###################################################
+### code chunk number 13: plotexample.Rnw:271-273
+###################################################
+grid.rect(gp = gpar(fill = "grey"))
+message <-
+    paste("I could draw all sorts",
+          "of stuff over here",
+          "then create a viewport",
+          "over there and stick",
+          "a scatterplot in it.", sep = "\n")
+grid.text(message, x = 0.25)
+grid.lines(x = unit.c(unit(0.25, "npc") + 0.5*stringWidth(message) +
+           unit(2, "mm"),
+           unit(0.5, "npc") - unit(2, "mm")),
+           y = 0.5,
+           arrow = arrow(angle = 15, type = "closed"),
+           gp = gpar(lwd = 3, fill = "black"))
+pushViewport(viewport(x = 0.5, height = 0.5, width = 0.45, just = "left",
+                      gp = gpar(cex = 0.5)))
+grid.rect(gp = gpar(fill = "white"))
+splot(1:10, 1:10, title = "An Embedded Plot")
+upViewport()
+downViewport("dataregion")
+grid.text(date(), x = unit(1, "npc"), y  =  0,
+          just = c("right", "bottom"), gp = gpar(col = "grey"))
+upViewport(0)
+
+
+###################################################
+### code chunk number 14: plotexample.Rnw:300-336
+###################################################
+splot.data.vp <- function(x, y) {
+  viewport(name = "dataregion",
+           x = unit(5, "lines"),
+           y = unit(4, "lines"),
+           width = unit(1, "npc") - unit(7, "lines"),
+           height = unit(1, "npc") - unit(7, "lines"),
+           just = c("left", "bottom"),
+           xscale = range(x) + c(-.05, .05)*diff(range(x)),
+           yscale = range(y) + c(-.05, .05)*diff(range(y)))
+}
+
+splot.title <- function(title) {
+      textGrob(title, name = "title",
+               y = unit(1, "npc") + unit(1.5, "lines"),
+               gp = gpar(fontsize = 16), vp = "dataregion")
+}
+
+splot <- function(x, y, title, name=NULL, draw=TRUE, gp=gpar(), vp=NULL) {
+    spg <- gTree(x = x, y = y, title = title, name = name,
+                 childrenvp  =  splot.data.vp(x, y),
+                 children = gList(rectGrob(name = "border",
+                                           vp = "dataregion"),
+                 xaxisGrob(name = "xaxis", vp = "dataregion"),
+                 yaxisGrob(name = "yaxis", vp = "dataregion"),
+                 pointsGrob(x, y, name = "points", vp = "dataregion"),
+                 textGrob("x axis", y = unit(-3, "lines"), name = "xlab",
+                          gp = gpar(fontsize = 14), vp = "dataregion"),
+                 textGrob("y axis", x = unit(-4, "lines"), name = "ylab",
+                          gp = gpar(fontsize = 14), rot = 90,
+                          vp = "dataregion"),
+                 splot.title(title)),
+                 gp = gp, vp = vp,
+                 cl = "splot")
+    if (draw) grid.draw(spg)
+    spg
+}
+
+
+###################################################
+### code chunk number 15: splotgrob (eval = FALSE)
+###################################################
+## sg <- splot(1:10, 1:10, "Same as Before", name = "splot", draw = FALSE)
+
+
+###################################################
+### code chunk number 16: plotexample.Rnw:353-358
+###################################################
+splot(1:10, 1:10, "Same as Before", name = "splot")
+downViewport("dataregion")
+grid.text(date(), x = unit(1, "npc"), y = 0,
+          just = c("right", "bottom"), gp = gpar(col = "grey"))
+upViewport(0)
+
+
+###################################################
+### code chunk number 17: plotexample.Rnw:406-408
+###################################################
+splot(1:10, 1:10, "Same as Before", name = "splot")
+grid.edit("splot", gp = gpar(cex=0.5))
+
+
+###################################################
+### code chunk number 18: plotexample.Rnw:409-412
+###################################################
+sg <- splot(1:10, 1:10, "Same as Before", name = "splot", draw = FALSE)
+sg <- editGrob(sg, gp = gpar(cex = 0.5))
+grid.draw(sg)
+
+
+###################################################
+### code chunk number 19: plotexample.Rnw:418-420
+###################################################
+splot(1:10, 1:10, "Same as Before", name = "splot")
+grid.edit(gPath("splot", "points"), gp = gpar(col = 1:10))
+
+
+###################################################
+### code chunk number 20: plotexample.Rnw:421-425
+###################################################
+sg <- splot(1:10, 1:10, "Same as Before", name = "splot", draw = FALSE)
+sg <- editGrob(sg, gPath = "points", gp = gpar(col = 1:10))
+grid.draw(sg)
+
+
+
+###################################################
+### code chunk number 21: plotexample.Rnw:433-445
+###################################################
+editDetails.splot <- function(x, specs) {
+    if (any(c("x", "y") %in% names(specs))) {
+        if (is.null(specs$x)) xx <- x$x else xx <- specs$x
+        if (is.null(specs$y)) yy <- x$y else yy <- specs$y
+        x$childrenvp <- splot.data.vp(xx, yy)
+        x <- addGrob(x, pointsGrob(xx, yy, name = "points",
+                                   vp = "dataregion"))
+    }
+  x
+}
+splot(1:10, 1:10, "Same as Before", name = "splot")
+grid.edit("splot", x = 1:100, y = (1:100)^2)
+
+
+###################################################
+### code chunk number 22: plotexample.Rnw:446-449
+###################################################
+sg <- splot(1:10, 1:10, "Same as Before", name = "splot", draw = FALSE)
+sg <- editGrob(sg, x = 1:100, y = (1:100)^2)
+grid.draw(sg)
+
+
+###################################################
+### code chunk number 23: plotexample.Rnw:460-501
+###################################################
+cellname <- function(i, j) paste("cell", i, j, sep = "")
+
+splom.vpTree <- function(n) {
+    vplist <- vector("list", n^2)
+    for (i in 1:n)
+        for (j in 1:n)
+            vplist[[(i - 1)*n + j]] <-
+              viewport(layout.pos.row = i, layout.pos.col = j,
+                       name = cellname(i, j))
+    vpTree(viewport(layout = grid.layout(n, n), name = "cellgrid"),
+    do.call("vpList", vplist))
+}
+
+cellpath <- function(i, j) vpPath("cellgrid", cellname(i, j))
+
+splom <- function(df, name = NULL, draw = TRUE) {
+    n <- dim(df)[2]
+    glist <- vector("list", n*n)
+    for (i in 1:n)
+        for (j in 1:n) {
+            glist[[(i - 1)*n + j]] <-if (i == j)
+                textGrob(paste("diag", i, sep = ""),
+                         gp = gpar(col = "grey"), vp = cellpath(i, j))
+            else if (j > i)
+                textGrob(cellname(i, j),
+                         name = cellname(i, j),
+                         gp = gpar(col = "grey"), vp = cellpath(i, j))
+            else
+                splot(df[,j], df[,i], "",
+                      name = paste("plot", i, j, sep = ""),
+                      vp = cellpath(i, j),
+                      gp = gpar(cex = 0.5), draw = FALSE)
+        }
+    smg <- gTree(name = name, childrenvp = splom.vpTree(n),
+                 children = do.call("gList", glist))
+    if (draw) grid.draw(smg)
+    smg
+}
+
+df <- data.frame(x = rnorm(10), y = rnorm(10), z = rnorm(10))
+splom(df)
+
+
+###################################################
+### code chunk number 24: plotexample.Rnw:506-511
+###################################################
+splom(df)
+grid.edit("plot21::xlab", label = "", redraw = FALSE)
+grid.edit("plot32::ylab", label = "", redraw = FALSE)
+grid.edit("plot21::xaxis", label = FALSE, redraw = FALSE)
+grid.edit("plot32::yaxis", label = FALSE)
+
+
+###################################################
+### code chunk number 25: splomgrob (eval = FALSE)
+###################################################
+## smg <- splom(df, draw = FALSE)
+
+
+###################################################
+### code chunk number 26: plotexample.Rnw:514-520
+###################################################
+smg <- splom(df, draw = FALSE)
+smg <- editGrob(smg, gPath = "plot21::xaxis", label = FALSE)
+smg <- editGrob(smg, gPath = "plot21::xlab", label = "")
+smg <- editGrob(smg, gPath = "plot32::yaxis", label = FALSE)
+smg <- editGrob(smg, gPath = "plot32::ylab", label = "")
+grid.draw(smg)
+
+
+###################################################
+### code chunk number 27: plotexample.Rnw:530-535
+###################################################
+splom(df, name = "splom")
+grid.remove("cell12")
+grid.add("splom", textGrob(date(), name = "date",
+                           gp = gpar(fontface = "italic"),
+                           vp = "cellgrid::cell12"))
+
+
+###################################################
+### code chunk number 28: plotexample.Rnw:536-542
+###################################################
+smg <- splom(df, draw = FALSE)
+smg <- removeGrob(smg, "cell12")
+smg <- addGrob(smg, textGrob(date(), name = "date",
+                             gp = gpar(fontface = "italic"),
+                             vp = "cellgrid::cell12"))
+grid.draw(smg)
+
+
+###################################################
+### code chunk number 29: plotexample.Rnw:550-566
+###################################################
+splom(df, name = "splom")
+grid.remove("cell12")
+grid.add("splom", textGrob(date(), name = "date",
+                           gp = gpar(fontface = "italic"),
+                           vp = "cellgrid::cell12"))
+smg <- grid.get("splom")
+save(smg, file = "splom.RData")
+load("splom.RData")
+plot <- getGrob(smg, "plot31")
+date <- getGrob(smg, "date")
+plot <- editGrob(plot, vp = NULL, gp = gpar(cex = 1))
+date <- editGrob(date, y = unit(1, "npc") - unit(1, "lines"), vp = NULL)
+grid.newpage()
+grid.draw(plot)
+grid.draw(date)
+
+
+
+###################################################
+### code chunk number 30: plotexample.Rnw:567-580
+###################################################
+smg <- splom(df, draw = FALSE)
+smg <- removeGrob(smg, "cell12")
+smg <- addGrob(smg, textGrob(date(), name = "date",
+                             gp = gpar(fontface = "italic"),
+                             vp = "cellgrid::cell12"))
+save(smg, file = "splom.RData")
+load("splom.RData")
+plot <- getGrob(smg, "plot31")
+date <- getGrob(smg, "date")
+plot <- editGrob(plot, vp = NULL, gp = gpar(cex = 1))
+date <- editGrob(date, y = unit(1, "npc") - unit(1, "lines"), vp = NULL)
+grid.draw(plot)
+grid.draw(date)
+
+
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/grid/doc/grid.pdf
===================================================================
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Property changes on: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/grid/doc/grid.pdf
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Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/grid/doc/saveload.R
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/grid/doc/saveload.R	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/grid/doc/saveload.R	(revision 3761)
@@ -0,0 +1,40 @@
+### R code from vignette source 'saveload.Rnw'
+
+###################################################
+### code chunk number 1: saveload.Rnw:23-27
+###################################################
+library(grDevices)
+library(grid)
+ps.options(pointsize = 12)
+options(width = 60)
+
+
+###################################################
+### code chunk number 2: saveload.Rnw:54-56
+###################################################
+gt <- textGrob("hi")
+save(gt, file = "mygridplot")
+
+
+###################################################
+### code chunk number 3: saveload.Rnw:60-62
+###################################################
+load("mygridplot")
+grid.draw(gt)
+
+
+###################################################
+### code chunk number 4: saveload.Rnw:95-98
+###################################################
+grid.grill()
+temp <- recordPlot()
+save(temp, file = "mygridplot")
+
+
+###################################################
+### code chunk number 5: saveload.Rnw:105-107
+###################################################
+load("mygridplot")
+temp
+
+
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/grid/doc/nonfinite.Rnw
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/grid/doc/nonfinite.Rnw	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/grid/doc/nonfinite.Rnw	(revision 3761)
@@ -0,0 +1,140 @@
+% File src/library/grid/vignettes/nonfinite.Rnw
+% Part of the R package, https://www.R-project.org
+% Copyright 2001-13 Paul Murrell and the R Core Team
+% Distributed under GPL 2 or later
+
+\documentclass[a4paper]{article}
+%\VignetteIndexEntry{Non-finite values}
+%\VignettePackage{grid}
+\newcommand{\pkg}[1]{{\normalfont\fontseries{b}\selectfont #1}}
+\newcommand{\grid}{\pkg{grid}}
+\setlength{\parindent}{0in}
+\setlength{\parskip}{.1in}
+\setlength{\textwidth}{140mm}
+\setlength{\oddsidemargin}{10mm}
+\title{How \grid{} Responds to Non-Finite Values}
+\author{Paul Murrell}
+
+\begin{document}
+\maketitle
+
+<<echo=FALSE, results=hide>>=
+library(grDevices)
+library(grid)
+ps.options(pointsize = 12)
+options(width = 60)
+@
+
+It is possible to include non-finite values, \texttt{NA}, \texttt{NaN}, {\tt
+  Inf}, and \texttt{-Inf}, in specifications of locations and sizes in
+\grid{} functions.  This document describes how \grid{} responds to
+non-finite values in different cases.
+
+\textbf{viewports} {~} \\
+Non-finite values are not permitted in the location, size, or
+scales of a viewport.  Viewport scales are checked
+when a viewport is created.  It is very hard to be certain that
+locations and sizes are not non-finite when the viewport is created
+so this is only checked
+when the viewport is pushed.
+Non-finite values result in error messages.
+
+\textbf{lines},
+\textbf{segments},
+\textbf{rectangles},
+\textbf{text},
+\textbf{points},
+\textbf{circles} {~} \\
+For all of these primitives, non-finite values for locations or
+sizes result in the corresponding primitive not being drawn.
+The following image provides a simple demonstration.  Each primitive
+is drawn at seven x-locations, with the fourth location made non-finite
+ (as indicated by a grey \texttt{"NA"}).
+
+<<prim1, echo=FALSE, fig=TRUE, results=hide, width=4, height=2, include=FALSE>>=
+pushViewport(viewport(layout = grid.layout(1, 2,
+                      widths = unit(c(1, 1), c("inches", "null")))))
+grid.rect(gp = gpar(col = "grey"))
+pushViewport(viewport(layout.pos.col = 1))
+grid.text(c("segments", "text", "lines", "rectangles", "circles", "points"),
+          x = 1, just = "right", y = c(0.75, 6:2/10), gp = gpar(col = "grey"))
+popViewport()
+pushViewport(viewport(layout.pos.col = 2))
+x <- 1:7/8
+x[4] <- NA
+grid.lines(x, 0.5)
+grid.text(letters[1:5], x, 0.6)
+grid.segments(x, 0.7, x, 0.8)
+grid.points(x, rep(0.2, 7))
+grid.rect(x, 0.4, 0.02, 0.02)
+grid.circle(x, 0.3, 0.02)
+grid.text("NA", 0.5, 2:8/10, gp = gpar(col = "grey"))
+popViewport(2)
+@
+
+\vspace{.5in}
+\includegraphics{nonfinite-prim1}
+
+\newpage
+
+\textbf{lineTo} {~} \\
+A line segment is only drawn if the previous location and the
+new location are both not non-finite.
+
+\textbf{polygon} {~} \\
+A non-finite value breaks the polygon into two separate polygons.
+NOTE that this break happens within the current polygon as specified
+by the \texttt{id} argument.  All polygons with the same \texttt{id}
+receive the same \texttt{gp} settings.
+
+\textbf{arrows} {~} \\
+An arrow head is only drawn if the first or last line segment is
+drawn.
+
+The following image demonstrates the behaviour of these primitives
+where x- and y-locations are seven equally-spaced locations around
+the perimeter of a circle.  In the top-left figure, all locations
+are not non-finite.  In each of the other figures, two locations have
+been made non-finite (indicated in each case by grey text).
+
+<<prim2, echo=FALSE, fig=TRUE, results=hide, include=FALSE>>=
+n <- 7
+primtest2 <- function(nas, na) {
+    t <- seq(0, 2*pi, length = n+1)[-(n+1)]
+    y <- 0.5 + 0.4*sin(t)
+    x <- 0.5 + 0.4*cos(t)
+    if (any(nas))
+        grid.text(paste("NA", (1:n)[nas], sep = ""),
+                  x[nas], y[nas], gp = gpar(col = "grey"))
+    x[nas] <- na
+    y[nas] <- na
+    grid.move.to(x[1], y[1])
+    for (i in 2:n)
+        grid.line.to(x[i], y[i], gp = gpar(lty = "dashed", lwd = 5))
+    grid.polygon(x, y, gp = gpar(fill = "grey", col = NULL))
+    grid.lines(x, y, arrow = arrow())
+}
+celltest <- function(r, c, nas, na) {
+    pushViewport(viewport(layout.pos.col = c, layout.pos.row = r))
+    primtest2(nas, na)
+    grid.rect(gp = gpar(col = "grey"))
+    popViewport()
+}
+cellnas <- function(i) {
+    temp <- rep(FALSE, n)
+    temp[i] <- TRUE
+    temp[n - 3 + i] <- TRUE
+    temp
+}
+pushViewport(viewport(layout = grid.layout(2, 2)))
+celltest(1, 1, rep(FALSE, n), NA)
+celltest(1, 2, cellnas(1), NA)
+celltest(2, 1, cellnas(2), NA)
+celltest(2, 2, cellnas(3), NA)
+popViewport()
+@
+
+\vspace{.5in}
+\includegraphics{nonfinite-prim2}
+\end{document}
+
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/grid/doc/frame.Rnw
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/grid/doc/frame.Rnw	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/grid/doc/frame.Rnw	(revision 3761)
@@ -0,0 +1,389 @@
+% File src/library/grid/vignettes/frame.Rnw
+% Part of the R package, https://www.R-project.org
+% Copyright 2001-13 Paul Murrell and the R Core Team
+% Distributed under GPL 2 or later
+
+\documentclass[a4paper]{article}
+%\VignetteIndexEntry{Frames and packing grobs}
+%\VignettePackage{grid}
+\newcommand{\code}[1]{\texttt{#1}}
+\newcommand{\pkg}[1]{{\normalfont\fontseries{b}\selectfont #1}}
+\newcommand{\grid}{\pkg{grid}}
+\newcommand{\R}{{\sffamily R}}
+\setlength{\parindent}{0in}
+\setlength{\parskip}{.1in}
+\setlength{\textwidth}{140mm}
+\setlength{\oddsidemargin}{10mm}
+
+\title{A GUI-Builder Approach to \grid{} Graphics}
+\author{Paul Murrell}
+
+\begin{document}
+\maketitle
+
+<<echo=FALSE, results=hide>>=
+library(grDevices)
+library(stats) # for runif
+library(grid)
+ps.options(pointsize = 12)
+options(width = 60)
+@
+Grid contains a lot of support for locating, sizing, and arranging
+graphical components on a device and with respect to each other.
+However, most of this support relies on \emph{either} the parent
+object dictating both location and size (layouts) \emph{or} the child
+dictating both location and size.
+
+Some sorts of arrangements are more conveniently handled by having the
+parent dictate the location, but letting the child dictate the size.
+This is the situation for GUI-builders (software which forms
+arrangements of GUI components or widgets).  The approach taken by
+(many ?) GUI-builders is to allow the user to create a parent
+\emph{frame} and then \emph{pack} widgets into this frame.  The frame
+locates and arranges the children with the help of hints such as
+``place this widget at the bottom of the frame'', and the children
+dictate what size they would like to be.
+
+This document describes a first attempt at such an interface for
+arranging Grid graphical objects.
+
+\section*{The \code{"frame"} grob}
+You can create a \code{"frame"} graphical object using the function
+\code{frameGrob()}.  You must assign the result to a variable in order
+to pack grobs into it.
+
+<<results=hide>>=
+gf <- frameGrob()
+@
+\section*{The \code{packGrob()} function}
+Having created a frame, you can then pack other graphical objects into
+it using the \code{packGrob()} function.  This function has a complex
+interface which allows for a variety of methods of packing graphical
+objects.  The required arguments are:
+\begin{description}
+\item[\code{frame}] is a \code{"frame"} object created by \code{grid.frame}.
+\item[\code{grob}] is the grob to pack into the frame.
+\end{description}
+The remaining arguments specify where the grob is located in the frame
+and possibly how much space the grob should occupy.  The frame is effectively
+just a layout;  you can add grobs to existing rows and columns
+or you can append the grob in a new row and/or column.  If the
+grob is added to an existing row then the height of
+that row  becomes the maximum of the new height and
+the previous height.  If the row  is new then it just
+gets the specified height.  Similar rules apply for column widths.
+\begin{description}
+\item[\code{col}] is the column to put the grob in.  This can be 1 greater than
+the existing number of columns (in which case a new column is added).
+\item[\code{row}]  is like \code{col} but for rows.
+\item[\code{col.after}] specifies that the grob should be put in a
+new column inserted between \code{col.after} and \code{col.after + 1}.
+\item[\code{col.before}] specifies that the grob should be put in a
+new column inserted between \code{col.before} and \code{col.before + 1}.
+\item[\code{row.after} and \code{row.before}] do what you would expect.
+\item[\code{side}]  specifies which side to append the new grob to.
+The valid values are \code{"left"}, \code{"right"}, \code{"bottom"},
+and \code{"top"}.
+\item[\code{width}]  is the width of the row that the grob is being packed
+into.  If this is not given then the grob supplies the width.
+\item[\code{height}] is like \code{width} but for rows.
+\end{description}
+It is possible to modify this default behaviour.  For example, it is possible
+to add a grob to a row and force that row to have the specified height
+by setting \code{force.height=TRUE} (and similarly for column widths).
+It is also possible to pack a graphical object into several rows or
+columns at once (although you cannot simultaneously affect the heights or
+widths of those rows and columns).
+
+The result of this function is the modified frame, so you must
+assign the result to a variable.
+
+<<results=hide>>=
+gf <- packGrob(gf, textGrob("Hello frame!"))
+@
+\section*{\code{"grobwidth"} and \code{"grobheight"} units}
+
+A \code{"frame"} object allows a grob to specify its size by making
+use of \code{"grobwidth"} and \code{"grobheight"} units.
+These units may, of course, be used outside of frames too so
+their use is described here.
+
+Consider a simple example where I want to draw a rectangle around
+a piece of text.  I can get the size of the piece of text from the
+\code{"text"} grob as follows:
+
+<<frame1, include=FALSE, width=4, height=2, fig=TRUE, results=hide>>=
+st <- grid.text("some text")
+grid.rect(width = unit(1, "grobwidth", st),
+          height = unit(1, "grobheight", st))
+@
+\begin{center}
+\includegraphics[height=1in, width=2in]{frame-frame1}
+\end{center}
+@
+You could do the same thing with simple \code{"strwidth"}
+and \code{"strheight"} units, but \code{"grobwidth"} and \code{"grobheight"}
+give you a lot more power.  The biggest gain is that you
+can get the size of other objects besides pieces of text (more on that
+soon).  Another thing you can do is provide a ``reference'' to a grob
+rather than the grob itself; you do this by giving the name of a grob.
+What this does is make the unit ``dynamic'' so that changes in the
+grob affect the unit.  The following is a dynamic version of the
+previous example.
+
+<<frame1, include=FALSE, width=4, height=2, fig=TRUE, results=hide>>=
+grid.text("some text", name = "st")
+grid.rect(width = unit(1, "grobwidth", "st"),
+          height = unit(1, "grobheight", "st"))
+@
+Now watch what happens if I modify the text grob named \code{"st"}:
+
+<<results=hide, eval=FALSE>>=
+grid.edit("st", gp = gpar(fontsize = 20))
+
+<<frame2, echo=FALSE, include=FALSE, width=4, height=2, fig=TRUE, results=hide>>=
+my.text <- textGrob("some text")
+my.text <- editGrob(my.text, gp = gpar(fontsize = 20))
+my.rect <- rectGrob(width = unit(1, "grobwidth", my.text),
+                    height = unit(1, "grobheight", my.text))
+grid.draw(my.text)
+grid.draw(my.rect)
+@
+\begin{center}
+\includegraphics[height=1in, width=2in]{frame-frame2}
+\end{center}
+@
+Similarly, I can change the text itself:
+
+<<results=hide, eval=FALSE>>=
+grid.edit("st", label="some different text")
+
+<<frame3, echo=FALSE, include=FALSE, width=4, height=2, fig=TRUE, results=hide>>=
+my.text <- textGrob("some text")
+my.text <- editGrob(my.text, gp = gpar(fontsize = 20))
+my.text <- editGrob(my.text, label = "some different text")
+my.rect <- rectGrob(width = unit(1, "grobwidth", my.text),
+                    height = unit(1, "grobheight", my.text))
+grid.draw(my.text)
+grid.draw(my.rect)
+@
+\begin{center}
+\includegraphics[height=1in, width=2in]{frame-frame3}
+\end{center}
+@
+\section*{The \code{widthDetails} and \code{heightDetails} generic functions}
+
+The calculation of \code{"grobwidth"} and \code{"grobheight"} units
+is a bit complicated, but fortunately most of it is automated.
+The simple part is that a grob provides a normal \code{"unit"} object
+to express its width or height.  The complication comes because that
+\code{"unit"} object has to be evaluated in the correct context;  in
+particular, if the grob has a non-\code{NULL} \code{vp} argument then
+those viewports have to be pushed so that the size of the grob is
+the size it would be when it is drawn.  This is achieved by calling the
+\code{preDrawDetails()} function for the grob and in most cases what
+happens by default will be correct.  The thing to avoid is having
+any viewport operations in a \code{drawDetails()} method for your
+grob;  they should go in a  \code{preDrawDetails()} method.
+
+All that needs to be written (usually) are the functions that
+provide the \code{"unit"} objects.  These functions need to be
+\code{widthDetails} and \code{heightDetails} methods.
+
+The default methods return \code{unit(1, "null")}
+so your grob will be of this size unless you write your own methods.
+
+The classic example methods are those for \code{"text"} grobs;  these
+return \code{unit(1, "mystrwidth", <text grob label>)} and
+\code{unit(1, "mystrheight", <text grob label>)} respectively.
+
+The other very important examples of these methods are those for
+\code{"frame"} grobs.  These return the \code{sum} of the
+widths (heights) of the columns (rows) of the layout that has been
+built up by packing grobs into the frame.  This means that
+when a \code{"frame"} grob is packed within another \code{"frame"} grob
+the parent automatically leaves enough room for the child.
+
+Another useful pair of examples are those for \code{"rect"} grobs.
+These methods make use of the \code{absolute.size} function.
+When a grob is asked to specify its size, it makes sense to respond
+with the grob's width and height if the grob has an ``absolute'' size
+(e.g., \code{"inches"}, \code{"cm"}, \code{"lines"}, etc;
+ i.e., the grob knows exactly how big itself is).
+On the other hand, it does not make sense to respond with the grob's
+width and height if the grob has a ``relative'' size (e.g., \code{"npc"} or
+\code{"native"};  i.e.,
+the grob needs to know about it's parent's size before it can figure
+out its own).  The \code{absolute.size} function leaves absolute
+units alone, but converts relative units to \code{"null"} units
+(i.e., the child says to the parent, ``you decide how big I should be''), so
+you can return something like \code{absolute.size(width(<grob>))} in order
+to always give a sensible answer.
+
+@
+\section*{Examples}
+The original motivating example for this GUI-builder approach was
+to be able to produce a quite general-purpose legend grob.
+
+A legend consists of data symbols and associated textual descriptions.
+In order to be quite general, it would be nice to allow, for example,
+multiple lines of text per data symbol.  Rather than having to look at
+the text supplied for the legend in order to determine the arrangement
+of the legend, it would be nice to be able to simply specify the
+composition of the legend and let it figure out the arrangement for
+us.  The code below defines just such a legend grob, using the new
+\code{"frame"} grob and \code{packGrob()} function.  Some points to
+note are:
+
+\begin{itemize}
+\item The use of \code{border}s to create space around the legend
+components.
+\item The size of the data symbol component is specified, but the
+size of the text components are taken from the \code{"text"} grobs.
+
+\item The heights of the rows in the legend will be the maximum of
+$\code{vgap} + \code{unit(1, "lines")}$ and $\code{vgap} +
+\code{unit(1, "grobheight", <text grob>)}$.
+
+\item We have two functions, one for generating a grob and one
+for producing output.
+\end{itemize}
+
+<<>>=
+legendGrob <- function(pch, labels, frame = TRUE,
+                        hgap = unit(1, "lines"), vgap = unit(1, "lines"),
+                        default.units = "lines",
+                        vp = NULL) {
+  nkeys <- length(labels)
+  gf <- frameGrob(vp = vp)
+  for (i in 1:nkeys) {
+    if (i == 1) {
+        symbol.border <- unit.c(vgap, hgap, vgap, hgap)
+        text.border <- unit.c(vgap, unit(0, "npc"), vgap,
+            hgap)
+    } else {
+        symbol.border <- unit.c(vgap, hgap, unit(0, "npc"), hgap)
+        text.border <- unit.c(vgap, unit(0, "npc"), unit(0, "npc"), hgap)
+    }
+    gf <- packGrob(gf, pointsGrob(0.5, 0.5, pch = pch[i]),
+                   col = 1, row = i, border = symbol.border,
+                   width = unit(1, "lines"),
+                   height = unit(1, "lines"), force.width = TRUE)
+    gf <- packGrob(gf, textGrob(labels[i], x = 0, y = 0.5,
+                                just = c("left", "centre")),
+                   col = 2, row = i, border = text.border)
+  }
+  gf
+}
+
+grid.legend <- function(pch, labels, frame = TRUE,
+                        hgap = unit(1, "lines"), vgap = unit(1, "lines"),
+                        default.units = "lines", draw = TRUE,
+                        vp = NULL) {
+  gf <- legendGrob(pch, labels, frame, hgap, vgap, default.units, vp)
+  if (draw) grid.draw(gf)
+  gf
+}
+@
+The next piece of code shows the \code{grid.legend()} function being
+used procedurally;  the output is shown below the code.
+
+<<legend, include=FALSE, width=4, height=2, fig=TRUE, results=hide>>=
+grid.legend(1:3, c("one line", "two\nlines", "three\nlines\nof text"))
+
+@
+\begin{center}
+\includegraphics[height=2in, width=4in]{frame-legend}
+\end{center}
+
+@
+The legend example might not seem too difficult to do by hand rather
+than using frames and packing, but the next example shows how
+useful it can be.
+
+Suppose you want to arrange a legend next to a plot.  This requires
+leaving enough space for the legend and then filling the remaining
+space with the plot.  This requires figuring out how much space the
+legend needs, and that is a task that is neither trivial nor
+easy to cater for in the general case.  Ideally, we want to know
+as little as possible about the legend.
+
+With the GUI-builder
+approach this becomes extremely simple.  The code below
+shows how the construction of such a scene might be performed; the
+output from the code is again shown below.
+
+The following points are noteworthy:
+
+\begin{itemize}
+\item We don't need to know anything about how the legend was
+constructed;  it could be any sort of grob.
+\item We specify the height of the legend to be \code{unit(1, "null")}
+so that it will occupy the full height of the plot.  If we
+did not do this then the plot would be forced to be the height of
+the legend (because of the way that \code{"null"} units interact
+with other units).
+\item The width of the legend is calculated from the contents of the
+legend because the legend is a \code{"frame"} grob.
+\item The dimensions of the ``plot'' default to \code{unit(1, "null")}
+because \code{"collection"} grobs have no width or height methods, which
+means that the plot fills up whatever space remains once the
+legend has been accommodated.
+\end{itemize}
+
+<<plot, echo=FALSE, include=FALSE, fig=TRUE, results=hide>>=
+top.vp <- viewport(width = 0.8, height = 0.8)
+pushViewport(top.vp)
+x <- runif(10)
+y1 <- runif(10)
+y2 <- runif(10)
+pch <- 1:3
+labels <- c("Girls", "Boys", "Other")
+gf <- frameGrob()
+plt <- gTree(children = gList(rectGrob(),
+                              pointsGrob(x, y1, pch = 1),
+                              pointsGrob(x, y2, pch = 2),
+                              xaxisGrob(),
+                              yaxisGrob()))
+gf <- packGrob(gf, plt)
+gf <- packGrob(gf, legendGrob(pch, labels),
+               height = unit(1, "null"), side = "right")
+grid.rect(gp = gpar(col = "grey"))
+grid.draw(gf)
+popViewport()
+grid.rect(gp = gpar(lty = "dashed"), width = .99, height = .99)
+@
+\begin{center}
+\includegraphics{frame-plot}
+\end{center}
+@
+\section*{Notes}
+\begin{enumerate}
+\item There are \code{grid.frame()} and \code{grid.pack()} equivalents
+for these functions, but these are really only useful to see the
+changes in the frame as each packing operation takes place.
+
+\item This frame-and-packing stuff is easier to use, \emph{but}
+(in almost all cases) it is less efficient than specifying the
+arrangement by hand.  There is consequently a penalty to pay in
+terms of memory (inconsequential I think) and in terms of speed
+(noticeably slower).
+
+Perhaps one sensible use of these functions is to
+build an image interactively using the simple arguments,
+which will be slow, then attempt to speed up the drawing
+by exploring some of the more advanced arguments.
+
+One way to speed things up a bit is to specify the layout when
+the frame is initially created and then use the \code{placeGrob()} function
+to put grobs into existing rows and columns.
+
+The speed penalty in the cases I have seen are mostly due to the time
+taken to generate the (sometimes very) complicated unit objects that
+express the heights and widths of the rows and columns of the frame
+layout.  Future effort will be put into speeding up the creation of
+unit objects.
+\end{enumerate}
+\end{document}
+
+
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/grid/doc/sharing.Rnw
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/grid/doc/sharing.Rnw	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/grid/doc/sharing.Rnw	(revision 3761)
@@ -0,0 +1,115 @@
+% File src/library/grid/vignettes/sharing.Rnw
+% Part of the R package, https://www.R-project.org
+% Copyright 2001-13 Paul Murrell and the R Core Team
+% Distributed under GPL 2 or later
+
+\documentclass[a4paper]{article}
+%\VignetteIndexEntry{Modifying multiple grobs simultaneously}
+\newcommand{\code}[1]{\texttt{#1}}
+\newcommand{\pkg}[1]{{\normalfont\fontseries{b}\selectfont #1}}
+\newcommand{\grid}{\pkg{grid}}
+\newcommand{\R}{{\sffamily R}}
+\setlength{\parindent}{0in}
+\setlength{\parskip}{.1in}
+\title{An Example of ``Linking'' Graphical Objects in \grid{}}
+\author{Paul Murrell}
+
+\begin{document}
+\maketitle
+
+<<echo=FALSE, results=hide>>=
+library(grDevices)
+library(graphics)
+library(stats) # for rnorm
+library(grid)
+ps.options(pointsize = 12)
+options(width = 60)
+@
+Suppose that I am drawing two graphs on a page, which are the results
+from two subjects in an experiment.  I want the graphs to have the same
+axes to aid in comparison of the subjects.
+
+First of all, I will split the page up into two bits for the two graphs.
+
+<<axes1, eval=FALSE, results=hide>>=
+pushViewport(viewport(layout = grid.layout(1, 2, respect = TRUE)))
+@
+Now I generate some data and draw the first plot.
+
+<<axes2, eval=FALSE, results=hide>>=
+x <- 1:10
+y1 <- rnorm(10)
+vp1a <- viewport(layout.pos.col = 1)
+vp1b <- viewport(width = 0.6, height = 0.6,
+                 xscale = c(0, 11), yscale = c(-4, 4))
+pushViewport(vp1a, vp1b)
+grid.xaxis(name = "xaxis")
+grid.yaxis(name = "yaxis")
+grid.points(x, y1)
+popViewport(2)
+@
+Notice that I have named the graphical objects for the axes.
+When I draw the second plot I will use the same names for the
+axis objects.
+
+<<axes3, eval=FALSE, results=hide>>=
+y2 <- rnorm(10)
+vp2a <- viewport(layout.pos.col = 2)
+vp2b <- viewport(width = 0.6, height = 0.6,
+                 xscale = c(0, 11), yscale = c(-4, 4))
+pushViewport(vp2a, vp2b)
+grid.xaxis
+grid.xaxis(name = "xaxis")
+grid.yaxis(name = "yaxis")
+grid.points(x, y2)
+popViewport(2)
+@
+The output looks like the figure below.
+
+<<shared, results=hide, fig=TRUE, echo=FALSE, width=4, height=2, include=FALSE>>=
+<<axes1>>
+<<axes2>>
+<<axes3>>
+
+@
+\begin{center}
+\includegraphics[width=4in, height=2in]{sharing-shared}
+\end{center}
+@
+
+Because I have used the same name for the axis objects in both plots,
+ I can edit the axes for both plots
+simultaneously rather than having to edit each one in turn.
+For example ...
+
+<<axesedit, eval=FALSE, results=hide>>=
+grid.edit("xaxis", at = c(1, 5, 9), global = TRUE)
+
+@
+The output now looks like the figure below.
+
+<<shared2, results=hide, echo=FALSE>>=
+postscript("shared2-%02d.eps", onefile = FALSE, paper = "special",
+           width = 4, height = 2)
+<<axes1>>
+<<axes2>>
+<<axes3>>
+<<axesedit>>
+dev.off()
+
+pdf("shared2-%02d.pdf", onefile = FALSE, width = 4, height = 2)
+<<axes1>>
+<<axes2>>
+<<axes3>>
+<<axesedit>>
+dev.off()
+@
+\begin{center}
+\includegraphics[width=4in, height=2in]{shared2-02}
+\end{center}
+@
+
+This might seem a very small gain in this example, but it is
+potentially of great use in, for example, the implementation of a scatterplot
+matrix.
+\end{document}
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/grid/doc/nonfinite.pdf
===================================================================
Cannot display: file marked as a binary type.
svn:mime-type = application/octet-stream

Property changes on: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/grid/doc/nonfinite.pdf
___________________________________________________________________
Added: svn:mime-type
   + application/octet-stream

Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/grid/doc/displaylist.R
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/grid/doc/displaylist.R	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/grid/doc/displaylist.R	(revision 3761)
@@ -0,0 +1,130 @@
+### R code from vignette source 'displaylist.Rnw'
+
+###################################################
+### code chunk number 1: displaylist.Rnw:30-36
+###################################################
+library(grDevices)
+library(graphics) # for plot()
+library(stats) # for runif()
+library(grid)
+ps.options(pointsize = 12)
+options(width = 60)
+
+
+###################################################
+### code chunk number 2: guts1 (eval = FALSE)
+###################################################
+## plot(1:10)
+## par(new = TRUE)
+## grid.rect(width = 0.5, height = 0.5, gp = gpar(lwd = 3), name = "gr")
+## 
+
+
+###################################################
+### code chunk number 3: ex1
+###################################################
+plot(1:10)
+par(new = TRUE)
+grid.rect(width = 0.5, height = 0.5, gp = gpar(lwd = 3), name = "gr")
+
+grid.rect(width = 0.99, height = 0.99, gp = gpar(lty = "dashed"))
+
+
+###################################################
+### code chunk number 4: ex2
+###################################################
+grid.rect(width = 0.5, height = 0.5, gp = gpar(col = "red", lwd = 3))
+grid.rect(width = 0.99, height = 0.99, gp = gpar(lty = "dashed"))
+
+
+
+###################################################
+### code chunk number 5: displaylist.Rnw:106-107 (eval = FALSE)
+###################################################
+## grid.edit("gr", gp = gpar(col = "red", lwd = 3))
+
+
+###################################################
+### code chunk number 6: displaylist.Rnw:137-138
+###################################################
+grid.rect(width = convertWidth(unit(1, "inches"), "npc"))
+
+
+###################################################
+### code chunk number 7: displaylist.Rnw:146-151
+###################################################
+drawDetails.myrect <- function(x, recording) {
+    gr <- rectGrob(width = convertWidth(unit(1, "inches"), "npc"))
+    grid.draw(gr)
+}
+grid.draw(grob(cl = "myrect"))
+
+
+###################################################
+### code chunk number 8: displaylist.Rnw:165-181
+###################################################
+x <- c(0.88, 1.00, 0.67, 0.34)
+y <- c(0.87, 0.43, 0.04, 0.94)
+z <- matrix(runif(4*2), ncol = 2)
+
+maxpiesize <- unit(1, "inches")
+totals <- apply(z, 1, sum)
+sizemult <- totals/max(totals)
+
+gs <- segmentsGrob(x0 = unit(c(rep(0, 4), x),
+                             rep(c("npc", "native"), each = 4)),
+                   x1 = unit(c(x, x), rep("native", 8)),
+                   y0 = unit(c(y, rep(0, 4)),
+                             rep(c("native", "npc"), each = 4)),
+                   y1 = unit(c(y, y), rep("native", 8)),
+                   gp = gpar(lty = "dashed", col = "grey"))
+gr <- rectGrob(gp = gpar(col = "grey", fill = "white", lty = "dashed"))
+
+
+###################################################
+### code chunk number 9: displaylist.Rnw:188-206
+###################################################
+drawDetails.pieplot <- function(x, recording) {
+    plot(x$x, x$y, xlim = c(-0.2, 1.2), ylim = c(-0.2, 1.2), type = "n")
+    vps <- baseViewports()
+    pushViewport(vps$inner, vps$figure, vps$plot, recording = FALSE)
+    grid.draw(x$gs, recording = FALSE)
+    for (i in 1:4) {
+        pushViewport(viewport(x = unit(x$x[i], "native"),
+                              y = unit(x$y[i], "native"),
+                              width = x$sizemult[i]*x$maxpiesize,
+                              height = x$sizemult[i]*x$maxpiesize),
+                     recording = FALSE)
+        grid.draw(x$gr, recording = FALSE)
+        par(plt = gridPLT(), new = TRUE)
+        pie(x$z[i, ], radius = 1, labels = rep("", 2))
+        popViewport(recording = FALSE)
+    }
+    popViewport(3, recording = FALSE)
+}
+
+
+###################################################
+### code chunk number 10: displaylist.Rnw:215-220
+###################################################
+if (suppressWarnings(require("gridBase", quietly = TRUE))) {
+grid.draw(grob(x = x, y = y, z = z,
+               maxpiesize = maxpiesize, sizemult = sizemult,
+               gs = gs, gr = gr, cl = "pieplot"))
+}
+
+
+###################################################
+### code chunk number 11: displaylist.Rnw:236-245
+###################################################
+drawDetails.mylegend <- function(x, recording) {
+    x <- 0:64/64
+    y <- sin(3*pi*x)
+    plot(x, y, type = "l", col = "blue",
+         main = "points with bg & legend(*, pt.bg)")
+    points(x, y, pch = 21, bg = "white")
+    legend(.4,1, "sin(c x)", pch = 21, pt.bg = "white", lty = 1, col = "blue")
+}
+grid.draw(grob(cl = "mylegend"))
+
+
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/grid/doc/rotated.R
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/grid/doc/rotated.R	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/grid/doc/rotated.R	(revision 3761)
@@ -0,0 +1,188 @@
+### R code from vignette source 'rotated.Rnw'
+
+###################################################
+### code chunk number 1: rotated.Rnw:23-29
+###################################################
+library(grDevices)
+library(graphics) # for boxplot
+library(stats) # for rnorm
+library(grid)
+ps.options(pointsize = 12)
+options(width = 60)
+
+
+###################################################
+### code chunk number 2: rotated.Rnw:35-38
+###################################################
+pushViewport(viewport(h = .8, w = .8, angle = 15))
+grid.multipanel(newpage = FALSE)
+popViewport()
+
+
+###################################################
+### code chunk number 3: complex1
+###################################################
+x <- rnorm(50)
+y <- x + rnorm(50, 1, 2)
+
+
+###################################################
+### code chunk number 4: complex2
+###################################################
+# We will extend the axes over the entire region so
+# extrapolate scale from main data region
+scale <- extendrange(r = range(x,y))
+extscale <- c(min(scale), max(scale)+diff(scale)*1/3)
+
+
+###################################################
+### code chunk number 5: complex3
+###################################################
+lay <- grid.layout(2, 2,
+                   widths = unit(c(3, 1), "inches"),
+                   heights = unit(c(1, 3), "inches"))
+vp1 <- viewport(width = unit(4, "inches"), height = unit(4, "inches"),
+                layout = lay, xscale = extscale, yscale = extscale)
+
+
+###################################################
+### code chunk number 6: complex4
+###################################################
+grid.newpage()
+pushViewport(vp1)
+grid.rect()
+grid.xaxis()
+grid.text("Test", y = unit(-3, "lines"))
+grid.yaxis()
+grid.text("Retest", x = unit(-3, "lines"), rot = 90)
+
+
+###################################################
+### code chunk number 7: complex5
+###################################################
+vp2 <- viewport(layout.pos.row = 2, layout.pos.col = 1,
+                xscale = scale, yscale = scale)
+pushViewport(vp2)
+grid.lines()
+grid.points(x, y, gp = gpar(col = "blue"))
+popViewport()
+
+
+###################################################
+### code chunk number 8: complex6
+###################################################
+diffs <- (y - x)
+rdiffs <- range(diffs)
+ddiffs <- diff(rdiffs)
+bxp <- boxplot(diffs, plot = FALSE)
+vp3 <- viewport(x = unit(3, "inches"),
+                y = unit(3, "inches"),
+                width = unit(.5, "inches"),
+                # NOTE that the axis on the boxplot represents
+                # actual (y - x) values BUT to make
+                # the bits of the boxplot line
+                # up with the data points we have to plot
+                # (y - x)/sqrt(2)
+                # Hence the sin(pi/4) below
+                height = unit(ddiffs*sin(pi/4)/diff(scale)*3, "inches"),
+                just = c("centre", "center"),
+                angle = 45,
+	        gp = gpar(col = "red"),
+                yscale = c(-ddiffs/2, ddiffs/2))
+pushViewport(vp3)
+left <- -.3
+width <- .8
+middle <- left + width/2
+grid.rect(x = left, y = unit(bxp$conf[1,1], "native"),
+          width = width, height = unit(diff(bxp$conf[,1]), "native"),
+          just = c("left", "bottom"),
+	  gp = gpar(col = NULL, fill = "orange"))
+grid.rect(x = left, y = unit(bxp$stats[4,1], "native"),
+          width = width, height = unit(diff(bxp$stats[4:3,1]), "native"),
+          just = c("left", "bottom"))
+grid.rect(x = left, y = unit(bxp$stats[3,1], "native"),
+          width = width, height = unit(diff(bxp$stats[3:2,1]), "native"),
+          just = c("left", "bottom"))
+grid.lines(x = c(middle, middle), y = unit(bxp$stats[1:2,1], "native"))
+grid.lines(x = c(middle, middle), y = unit(bxp$stats[4:5,1], "native"))
+grid.lines(x = c(middle-.1, middle+.1), y = unit(bxp$stats[1,1], "native"))
+grid.lines(x = c(middle-.1, middle+.1), y = unit(bxp$stats[5,1], "native"))
+np <- length(bxp$out)
+if (np > 0)
+  grid.points(x = rep(middle, np), y = unit(bxp$out, "native"))
+grid.yaxis(main = FALSE)
+popViewport(2)
+
+
+
+###################################################
+### code chunk number 9: rotated.Rnw:144-150
+###################################################
+x <- rnorm(50)
+y <- x + rnorm(50, 1, 2)
+# We will extend the axes over the entire region so
+# extrapolate scale from main data region
+scale <- extendrange(r = range(x,y))
+extscale <- c(min(scale), max(scale)+diff(scale)*1/3)
+lay <- grid.layout(2, 2,
+                   widths = unit(c(3, 1), "inches"),
+                   heights = unit(c(1, 3), "inches"))
+vp1 <- viewport(width = unit(4, "inches"), height = unit(4, "inches"),
+                layout = lay, xscale = extscale, yscale = extscale)
+grid.newpage()
+pushViewport(vp1)
+grid.rect()
+grid.xaxis()
+grid.text("Test", y = unit(-3, "lines"))
+grid.yaxis()
+grid.text("Retest", x = unit(-3, "lines"), rot = 90)
+vp2 <- viewport(layout.pos.row = 2, layout.pos.col = 1,
+                xscale = scale, yscale = scale)
+pushViewport(vp2)
+grid.lines()
+grid.points(x, y, gp = gpar(col = "blue"))
+popViewport()
+diffs <- (y - x)
+rdiffs <- range(diffs)
+ddiffs <- diff(rdiffs)
+bxp <- boxplot(diffs, plot = FALSE)
+vp3 <- viewport(x = unit(3, "inches"),
+                y = unit(3, "inches"),
+                width = unit(.5, "inches"),
+                # NOTE that the axis on the boxplot represents
+                # actual (y - x) values BUT to make
+                # the bits of the boxplot line
+                # up with the data points we have to plot
+                # (y - x)/sqrt(2)
+                # Hence the sin(pi/4) below
+                height = unit(ddiffs*sin(pi/4)/diff(scale)*3, "inches"),
+                just = c("centre", "center"),
+                angle = 45,
+	        gp = gpar(col = "red"),
+                yscale = c(-ddiffs/2, ddiffs/2))
+pushViewport(vp3)
+left <- -.3
+width <- .8
+middle <- left + width/2
+grid.rect(x = left, y = unit(bxp$conf[1,1], "native"),
+          width = width, height = unit(diff(bxp$conf[,1]), "native"),
+          just = c("left", "bottom"),
+	  gp = gpar(col = NULL, fill = "orange"))
+grid.rect(x = left, y = unit(bxp$stats[4,1], "native"),
+          width = width, height = unit(diff(bxp$stats[4:3,1]), "native"),
+          just = c("left", "bottom"))
+grid.rect(x = left, y = unit(bxp$stats[3,1], "native"),
+          width = width, height = unit(diff(bxp$stats[3:2,1]), "native"),
+          just = c("left", "bottom"))
+grid.lines(x = c(middle, middle), y = unit(bxp$stats[1:2,1], "native"))
+grid.lines(x = c(middle, middle), y = unit(bxp$stats[4:5,1], "native"))
+grid.lines(x = c(middle-.1, middle+.1), y = unit(bxp$stats[1,1], "native"))
+grid.lines(x = c(middle-.1, middle+.1), y = unit(bxp$stats[5,1], "native"))
+np <- length(bxp$out)
+if (np > 0)
+  grid.points(x = rep(middle, np), y = unit(bxp$out, "native"))
+grid.yaxis(main = FALSE)
+popViewport(2)
+
+
+
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/grid/doc/frame.pdf
===================================================================
Cannot display: file marked as a binary type.
svn:mime-type = application/octet-stream

Property changes on: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/grid/doc/frame.pdf
___________________________________________________________________
Added: svn:mime-type
   + application/octet-stream

Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/grid/doc/viewports.R
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/grid/doc/viewports.R	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/grid/doc/viewports.R	(revision 3761)
@@ -0,0 +1,288 @@
+### R code from vignette source 'viewports.Rnw'
+
+###################################################
+### code chunk number 1: viewports.Rnw:26-31
+###################################################
+library(grDevices)
+library(stats) # for runif()
+library(grid)
+ps.options(pointsize = 12)
+options(width = 60)
+
+
+###################################################
+### code chunk number 2: viewports.Rnw:50-53
+###################################################
+pushViewport(viewport())
+upViewport()
+pushViewport(viewport())
+
+
+###################################################
+### code chunk number 3: viewports.Rnw:68-70
+###################################################
+grid.newpage()
+
+
+
+###################################################
+### code chunk number 4: viewports.Rnw:71-76
+###################################################
+pushViewport(viewport(name = "A"))
+upViewport()
+pushViewport(viewport(name = "B"))
+upViewport()
+downViewport("A")
+
+
+###################################################
+### code chunk number 5: viewports.Rnw:85-86
+###################################################
+seekViewport("B")
+
+
+###################################################
+### code chunk number 6: viewports.Rnw:91-93
+###################################################
+current.vpTree()
+
+
+
+###################################################
+### code chunk number 7: vpstackguts
+###################################################
+vp <- viewport(width = 0.5, height = 0.5)
+grid.rect(vp = vpStack(vp, vp))
+
+
+###################################################
+### code chunk number 8: viewports.Rnw:114-116
+###################################################
+grid.rect(gp = gpar(col = "grey"))
+vp <- viewport(width = 0.5, height = 0.5)
+grid.rect(vp = vpStack(vp, vp))
+
+
+###################################################
+### code chunk number 9: viewports.Rnw:140-142
+###################################################
+grid.newpage()
+
+
+
+###################################################
+### code chunk number 10: viewports.Rnw:143-146
+###################################################
+pushViewport(viewport(name = "A"))
+pushViewport(viewport(name = "B"))
+pushViewport(viewport(name = "A"))
+
+
+###################################################
+### code chunk number 11: viewports.Rnw:152-154
+###################################################
+seekViewport("A")
+current.vpTree(FALSE)
+
+
+###################################################
+### code chunk number 12: viewports.Rnw:159-161
+###################################################
+seekViewport(vpPath("B", "A"))
+current.vpTree(FALSE)
+
+
+###################################################
+### code chunk number 13: viewports.Rnw:166-167
+###################################################
+vpPath("A", "B")
+
+
+###################################################
+### code chunk number 14: viewports.Rnw:174-176 (eval = FALSE)
+###################################################
+## seekViewport(vpPath("A", "B"))
+## seekViewport("A::B")
+
+
+###################################################
+### code chunk number 15: viewports.Rnw:185-187
+###################################################
+x <- runif(10)
+y <- runif(10)
+
+
+###################################################
+### code chunk number 16: viewports.Rnw:192-194
+###################################################
+xscale <- extendrange(x)
+yscale <- extendrange(y)
+
+
+###################################################
+### code chunk number 17: viewports.Rnw:203-208
+###################################################
+top.vp <-
+    viewport(layout=grid.layout(3, 3,
+             widths=unit(c(5, 1, 2), c("lines", "null", "lines")),
+             heights=unit(c(5, 1, 4), c("lines", "null", "lines"))))
+
+
+
+###################################################
+### code chunk number 18: viewports.Rnw:209-210
+###################################################
+grid.show.layout(viewport.layout(top.vp))
+
+
+###################################################
+### code chunk number 19: viewports.Rnw:217-227
+###################################################
+margin1 <- viewport(layout.pos.col = 2, layout.pos.row = 3,
+                    name = "margin1")
+margin2 <- viewport(layout.pos.col = 1, layout.pos.row = 2,
+                    name = "margin2")
+margin3 <- viewport(layout.pos.col = 2, layout.pos.row = 1,
+                    name = "margin3")
+margin4 <- viewport(layout.pos.col = 3, layout.pos.row = 2,
+                    name = "margin4")
+plot <- viewport(layout.pos.col = 2, layout.pos.row = 2,
+                 name = "plot", xscale = xscale, yscale = yscale)
+
+
+###################################################
+### code chunk number 20: viewports.Rnw:234-235
+###################################################
+splot <- vpTree(top.vp, vpList(margin1, margin2, margin3, margin4, plot))
+
+
+###################################################
+### code chunk number 21: viewports
+###################################################
+pushViewport(splot)
+
+
+###################################################
+### code chunk number 22: grid (eval = FALSE)
+###################################################
+## labelvp <- function(name) {
+##     seekViewport(name)
+##     grid.rect(gp = gpar(col = "grey", lwd = 5))
+##     grid.rect(x = 0, y = 1, width = unit(1, "strwidth", name) + unit(2, "mm"),
+##               height = unit(1, "lines"), just = c("left", "top"),
+##               gp = gpar(fill = "grey", col = NULL))
+##     grid.text(name, x = unit(1, "mm"), y = unit(1, "npc") - unit(1, "mm"),
+##               just = c("left", "top"), gp = gpar(col = "white"))
+## }
+## labelvp("plot")
+## labelvp("margin1")
+## labelvp("margin2")
+## labelvp("margin3")
+## labelvp("margin4")
+
+
+###################################################
+### code chunk number 23: plot (eval = FALSE)
+###################################################
+## seekViewport("plot")
+## grid.points(x, y)
+## grid.xaxis()
+## grid.yaxis()
+## grid.rect()
+
+
+###################################################
+### code chunk number 24: margin1 (eval = FALSE)
+###################################################
+## seekViewport("margin1")
+## grid.text("Random X", y = unit(1, "lines"))
+
+
+###################################################
+### code chunk number 25: margin2 (eval = FALSE)
+###################################################
+## seekViewport("margin2")
+## grid.text("Random Y", x = unit(1, "lines"), rot = 90)
+## 
+
+
+###################################################
+### code chunk number 26: viewports.Rnw:287-293
+###################################################
+pushViewport(viewport(w = 0.9, h = 0.9))
+pushViewport(splot)
+labelvp <- function(name) {
+    seekViewport(name)
+    grid.rect(gp = gpar(col = "grey", lwd = 5))
+    grid.rect(x = 0, y = 1, width = unit(1, "strwidth", name) + unit(2, "mm"),
+              height = unit(1, "lines"), just = c("left", "top"),
+              gp = gpar(fill = "grey", col = NULL))
+    grid.text(name, x = unit(1, "mm"), y = unit(1, "npc") - unit(1, "mm"),
+              just = c("left", "top"), gp = gpar(col = "white"))
+}
+labelvp("plot")
+labelvp("margin1")
+labelvp("margin2")
+labelvp("margin3")
+labelvp("margin4")
+seekViewport("plot")
+grid.points(x, y)
+grid.xaxis()
+grid.yaxis()
+grid.rect()
+seekViewport("margin1")
+grid.text("Random X", y = unit(1, "lines"))
+seekViewport("margin2")
+grid.text("Random Y", x = unit(1, "lines"), rot = 90)
+
+
+
+###################################################
+### code chunk number 27: viewports.Rnw:307-308
+###################################################
+upViewport(0)
+
+
+###################################################
+### code chunk number 28: annguts (eval = FALSE)
+###################################################
+## seekViewport("margin3")
+## grid.text("The user adds a title!", gp = gpar(fontsize = 20))
+## 
+
+
+###################################################
+### code chunk number 29: viewports.Rnw:325-333
+###################################################
+pushViewport(viewport(w = 0.9, h = 0.9))
+pushViewport(splot)
+labelvp <- function(name) {
+    seekViewport(name)
+    grid.rect(gp = gpar(col = "grey", lwd = 5))
+    grid.rect(x = 0, y = 1, width = unit(1, "strwidth", name) + unit(2, "mm"),
+              height = unit(1, "lines"), just = c("left", "top"),
+              gp = gpar(fill = "grey", col = NULL))
+    grid.text(name, x = unit(1, "mm"), y = unit(1, "npc") - unit(1, "mm"),
+              just = c("left", "top"), gp = gpar(col = "white"))
+}
+labelvp("plot")
+labelvp("margin1")
+labelvp("margin2")
+labelvp("margin3")
+labelvp("margin4")
+seekViewport("plot")
+grid.points(x, y)
+grid.xaxis()
+grid.yaxis()
+grid.rect()
+seekViewport("margin1")
+grid.text("Random X", y = unit(1, "lines"))
+seekViewport("margin2")
+grid.text("Random Y", x = unit(1, "lines"), rot = 90)
+
+seekViewport("margin3")
+grid.text("The user adds a title!", gp = gpar(fontsize = 20))
+
+popViewport(0)
+
+
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/grid/doc/locndimn.R
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/grid/doc/locndimn.R	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/grid/doc/locndimn.R	(revision 3761)
@@ -0,0 +1,72 @@
+### R code from vignette source 'locndimn.Rnw'
+
+###################################################
+### code chunk number 1: locndimn.Rnw:25-29
+###################################################
+library(grDevices)
+library(grid)
+ps.options(pointsize = 12)
+options(width = 60)
+
+
+###################################################
+### code chunk number 2: locndimn.Rnw:57-96
+###################################################
+diagram.locn <- function(i, n, locn) {
+  x <- i/(n+1)
+  grid.lines(x = unit(rep(x, 2), "npc"),
+             y = unit.c(unit(0, "npc"), locn))
+  grid.lines(x = unit(x, "npc") + unit(c(-2, 0, 2), "mm"),
+             y = locn + unit(c(-2, 0, -2), "mm"))
+  grid.text(paste(as.character(locn), "as a location"),
+            x = unit(x, "npc") - unit(1, "mm"),
+            y = locn - unit(3, "mm"),
+            just = c("right", "bottom"),
+            rot = 90)
+}
+diagram.dimn <- function(i, n, dimn) {
+  x <- i/(n+1)
+  pushViewport(viewport(x = unit(x, "npc"), y = unit(0, "native"),
+            h = dimn, w = unit(1, "lines"), just = c("centre", "bottom")))
+  grid.rect()
+  grid.text(paste(as.character(dimn), "as a dimension"),
+            rot = 90)
+  popViewport()
+}
+pushViewport(viewport(w = 0.8, y=unit(1.7, "inches"),
+                      h = unit(4, "inches"),
+                      just = c("centre", "bottom"),
+                      yscale = c(-0.6, 1.3)))
+grid.grill(v = c(0, 1), h = seq(-0.5, 1, 0.5), default.units = "native")
+grid.rect()
+grid.yaxis()
+n <- 10
+diagram.locn(1, n, unit(1, "native"))
+diagram.locn(2, n, unit(-0.4, "native"))
+diagram.locn(3, n, unit(0.4, "native"))
+diagram.locn(4, n, unit(1, "native") + unit(-0.4, "native"))
+diagram.locn(5, n, unit(1, "native") - unit(0.4, "native"))
+diagram.dimn(6, n, unit(1, "native"))
+diagram.dimn(7, n, unit(-0.4, "native"))
+diagram.dimn(8, n, unit(0.4, "native"))
+diagram.dimn(9, n, unit(1, "native") + unit(-0.4, "native"))
+diagram.dimn(10, n, unit(1, "native") - unit(0.4, "native"))
+
+
+###################################################
+### code chunk number 3: locndimn.Rnw:107-119
+###################################################
+pushViewport(viewport(yscale = c(-0.6, 1.3)))
+# Unexpected results?
+convertY(unit(1,'native'), "native")
+convertY(unit(-.4,'native'), "native")
+convertY(unit(1,'native')+unit(-.4,'native'), "native")
+convertY(unit(1,'native')-unit(.4,'native'), "native")
+# Expected results
+convertHeight(unit(1,'native'), "native")
+convertHeight(unit(-.4,'native'), "native")
+convertHeight(unit(1,'native')+unit(-.4,'native'), "native")
+convertHeight(unit(1,'native')-unit(.4,'native'), "native")
+popViewport()
+
+
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/grid/doc/sharing.pdf
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/grid/doc/sharing.pdf	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/grid/doc/sharing.pdf	(revision 3761)
@@ -0,0 +1,301 @@
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Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/grid/doc/grobs.R
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/grid/doc/grobs.R	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/grid/doc/grobs.R	(revision 3761)
@@ -0,0 +1,313 @@
+### R code from vignette source 'grobs.Rnw'
+
+###################################################
+### code chunk number 1: grobs.Rnw:30-34
+###################################################
+library(grDevices)
+library(grid)
+ps.options(pointsize = 12)
+options(width = 60)
+
+
+###################################################
+### code chunk number 2: grobs.Rnw:48-50
+###################################################
+gl <- linesGrob()
+gl <- editGrob(gl, gp = gpar(col = "green"))
+
+
+###################################################
+### code chunk number 3: grobs.Rnw:64-68
+###################################################
+grid.newpage()
+grid.lines(name = "lines")
+grid.edit(gPath("lines"), gp = gpar(col = "pink"))
+grid.edit("lines", gp = gpar(col = "red"))
+
+
+###################################################
+### code chunk number 4: grobs.Rnw:84-91
+###################################################
+grid.newpage()
+pushViewport(viewport(w = .5, h = .5))
+grid.rect(gp = gpar(col = "grey"))
+grid.xaxis(name = "myxaxis")
+grid.edit("myxaxis", at = 1:4/5)
+grid.edit(gPath("myxaxis", "labels"), y = unit(-1, "lines"))
+
+
+
+###################################################
+### code chunk number 5: grobs.Rnw:103-113
+###################################################
+grid.newpage()
+pushViewport(viewport(w = .5, h = .5))
+myplot <-
+    gTree(name = "myplot",
+          children = gList(rectGrob(name = "box", gp = gpar(col = "grey")),
+                           xaxisGrob(name = "xaxis")))
+grid.draw(myplot)
+grid.edit("myplot::xaxis", at = 1:10/11)
+grid.edit("myplot::xaxis::labels", label = round(1:10/11, 2))
+grid.edit("myplot::xaxis::labels", y = unit(-1, "lines"))
+
+
+###################################################
+### code chunk number 6: grobs.Rnw:121-124
+###################################################
+grid.newpage()
+gt <- grid.text("Hi there")
+grid.rect(width = unit(1, "grobwidth", gt))
+
+
+###################################################
+### code chunk number 7: grobs.Rnw:133-137
+###################################################
+grid.newpage()
+gt <- grid.text("Hi there", name = "sometext")
+grid.rect(width = unit(1, "grobwidth", "sometext"))
+grid.edit("sometext", label = "Something different")
+
+
+###################################################
+### code chunk number 8: grobs.Rnw:162-176
+###################################################
+grid.newpage()
+mygrob <- grob(name = "mygrob", cl = "mygrob")
+preDrawDetails.mygrob <- function(x)
+    pushViewport(viewport(gp = gpar(fontsize = 20)))
+
+drawDetails.mygrob <- function(x, recording = TRUE)
+    grid.draw(textGrob("hi there"), recording = FALSE)
+
+postDrawDetails.mygrob <- function(x) popViewport()
+
+widthDetails.mygrob <- function(x) unit(1, "strwidth", "hi there")
+
+grid.draw(mygrob)
+grid.rect(width = unit(1, "grobwidth", mygrob))
+
+
+###################################################
+### code chunk number 9: grobs.Rnw:194-206
+###################################################
+grid.newpage()
+mygtree <- gTree(name = "mygrob",
+                 childrenvp = viewport(name = "labelvp",
+                                       gp = gpar(fontsize = 20)),
+                 children = gList(textGrob("hi there", name = "label",
+                   vp = "labelvp")),
+                 cl = "mygtree")
+widthDetails.mygtree <- function(x)
+    unit(1, "grobwidth", getGrob(x, "label"))
+
+grid.draw(mygtree)
+grid.rect(width = unit(1, "grobwidth", mygtree))
+
+
+###################################################
+### code chunk number 10: grobs.Rnw:214-219
+###################################################
+grid.newpage()
+fg <- frameGrob(layout = grid.layout(1, 2))
+fg <- placeGrob(fg, textGrob("Hi there"), col = 1)
+fg <- placeGrob(fg, rectGrob(), col = 2)
+grid.draw(fg)
+
+
+###################################################
+### code chunk number 11: grobs.Rnw:224-240
+###################################################
+grid.newpage()
+pushViewport(viewport(layout = grid.layout(2, 2)))
+drawIt <- function(row, col) {
+    pushViewport(viewport(layout.pos.col = col, layout.pos.row = row))
+    grid.rect(gp = gpar(col = "grey"))
+    grid.draw(fg)
+    upViewport()
+}
+fg <- frameGrob()
+fg <- packGrob(fg, textGrob("Hi there"))
+fg <- placeGrob(fg, rectGrob())
+drawIt(1, 1)
+fg <- packGrob(fg, textGrob("Hello again"), side = "right")
+drawIt(1, 2)
+fg <- packGrob(fg, rectGrob(), side = "right", width = unit(1, "null"))
+drawIt(2, 2)
+
+
+###################################################
+### code chunk number 12: grobs.Rnw:252-261
+###################################################
+grid.newpage()
+fg <- frameGrob()
+fg <- packGrob(fg, textGrob("Hi there"))
+fg <- placeGrob(fg, rectGrob())
+fg <- packGrob(fg, textGrob("Hello again", name = "midtext"),
+               side = "right", dynamic = TRUE)
+fg <- packGrob(fg, rectGrob(), side = "right", width = unit(1, "null"))
+grid.draw(fg)
+grid.edit("midtext", label = "something much longer")
+
+
+###################################################
+### code chunk number 13: grobs.Rnw:285-309
+###################################################
+grid.newpage()
+pushViewport(viewport(layout = grid.layout(2, 2)))
+drawIt <- function(row, col) {
+    pushViewport(viewport(layout.pos.col = col, layout.pos.row = row))
+    grid.rect(gp = gpar(col = "grey"))
+    grid.draw(gplot)
+    upViewport()
+}
+gplot <- gTree(x = NULL, y = NULL,
+               childrenvp = vpTree(
+                 plotViewport(c(5, 4, 4, 2), name = "plotRegion"),
+                 vpList(viewport(name = "dataRegion"))),
+               children = gList(
+                 xaxisGrob(vp = "plotRegion::dataRegion"),
+                 yaxisGrob(vp = "plotRegion::dataRegion"),
+                 rectGrob(vp = "plotRegion")))
+drawIt(1, 1)
+gplot <- addGrob(gplot, pointsGrob(vp = "plotRegion::dataRegion"))
+drawIt(1, 2)
+gplot <- addGrob(gplot, pointsGrob(name = "data1", pch = 2,
+                                   vp = "plotRegion::dataRegion"))
+drawIt(2, 1)
+gplot <- removeGrob(gplot, "data1")
+drawIt(2, 2)
+
+
+###################################################
+### code chunk number 14: grobs.Rnw:316-337
+###################################################
+gplot <- gTree(x = NULL, y = NULL,
+               childrenvp = vpTree(
+                 plotViewport(c(5, 4, 4, 2), name = "plotRegion"),
+                   vpList(viewport(name = "dataRegion"))),
+               children = gList(
+                 xaxisGrob(vp = "plotRegion::dataRegion"),
+                 yaxisGrob(vp = "plotRegion::dataRegion"),
+                 rectGrob(vp = "plotRegion")))
+save(gplot, file = "gplot1")
+gplot <- addGrob(gplot, pointsGrob(vp = "plotRegion::dataRegion"))
+save(gplot, file = "gplot2")
+grid.newpage()
+pushViewport(viewport(layout = grid.layout(1, 2)))
+pushViewport(viewport(layout.pos.col = 1))
+load("gplot1")
+grid.draw(gplot)
+popViewport()
+pushViewport(viewport(layout.pos.col = 2))
+load("gplot2")
+grid.draw(gplot)
+popViewport()
+
+
+###################################################
+### code chunk number 15: grobs.Rnw:348-359
+###################################################
+myplot <- gTree(name = "myplot",
+                children = gList(
+                  rectGrob(name = "box", gp = gpar(col = "grey")),
+                  xaxisGrob(name = "xaxis")))
+myplot <- editGrob(myplot, gPath = "xaxis", at = 1:10/11)
+myplot <- editGrob(myplot, gPath = "xaxis::labels", label = round(1:10/11, 2))
+myplot <- editGrob(myplot, gPath = "xaxis::labels", y = unit(-1, "lines"))
+grid.newpage()
+pushViewport(viewport(w = .5, h = .5))
+grid.draw(myplot)
+
+
+
+###################################################
+### code chunk number 16: grobs.Rnw:365-378
+###################################################
+myplot <- gTree(name = "myplot",
+                children = gList(
+                  rectGrob(name = "box", gp = gpar(col = "grey")),
+                  xaxisGrob(name = "xaxis")))
+getGrob(myplot, "xaxis")
+myplot <- editGrob(myplot, gPath="xaxis", at=1:10/11)
+getGrob(myplot, "xaxis::labels")
+grid.newpage()
+pushViewport(viewport(w=.5, h=.5))
+grid.draw(myplot)
+grid.get("myplot")
+grid.get("myplot::xaxis")
+grid.get("myplot::xaxis::labels")
+
+
+###################################################
+### code chunk number 17: grobs.Rnw:399-415
+###################################################
+myplot <- gTree(name = "myplot",
+                children = gList(rectGrob(name = "box", gp = gpar(col = "grey")),
+                  xaxisGrob(name = "xaxis")))
+myplot <- setGrob(myplot, "xaxis", rectGrob(name = "xaxis"))
+grid.newpage()
+pushViewport(viewport(w = .5, h = .5))
+grid.draw(myplot)
+grid.set("myplot::xaxis", xaxisGrob(name = "xaxis", at = 1:3/4))
+grid.set("myplot::xaxis::labels",
+         textGrob(name = "labels", x = unit(1:3/4, "native"),
+                  y = unit(-1, "lines"), label = letters[1:3]))
+myplot <- setGrob(grid.get("myplot"), "xaxis::labels",
+                  circleGrob(name = "labels"))
+grid.newpage()
+pushViewport(viewport(w = .5, h = .5))
+grid.draw(myplot)
+
+
+###################################################
+### code chunk number 18: grobs.Rnw:433-464
+###################################################
+drawIt <- function(row, col) {
+  pushViewport(viewport(layout.pos.col = col, layout.pos.row = row))
+  grid.rect(gp = gpar(col = "grey"))
+  grid.draw(gplot)
+  upViewport()
+}
+gplot <- gTree(name = "plot1",
+               childrenvp = vpTree(
+                 plotViewport(c(5, 4, 4, 2), name = "plotRegion"),
+                 vpList(viewport(name = "dataRegion"))),
+               children = gList(
+                 xaxisGrob(name = "xaxis", vp = "plotRegion::dataRegion"),
+                 yaxisGrob(name = "yaxis", vp = "plotRegion::dataRegion"),
+                 rectGrob(name = "box", vp = "plotRegion")))
+grid.newpage()
+pushViewport(viewport(layout = grid.layout(2, 2)))
+drawIt(1, 1)
+grid.add("plot1", pointsGrob(0.5, 0.5, name = "data1",
+                             vp = "plotRegion::dataRegion"))
+grid.add("plot1::xaxis",
+         textGrob("X Axis", y = unit(-2, "lines"), name = "xlab"))
+grid.edit("plot1::xaxis::xlab", y = unit(-3, "lines"))
+gplot <- grid.get("plot1")
+gplot <- addGrob(gplot, gPath = "yaxis",
+                 textGrob("Y Axis", x = unit(-3, "lines"), rot = 90,
+                          name = "ylab"))
+drawIt(1, 2)
+gplot <- removeGrob(gplot, "xaxis::xlab")
+drawIt(2, 1)
+grid.remove("plot1::data1")
+grid.remove("plot1")
+
+
+###################################################
+### code chunk number 19: grobs.Rnw:472-482
+###################################################
+grid.newpage()
+grid.frame(name = "myframe", layout = grid.layout(1, 2))
+grid.place("myframe", textGrob("Hi there"), col = 1)
+grid.place("myframe", rectGrob(), col = 2)
+grid.newpage()
+grid.frame(name = "frame2")
+grid.pack("frame2", textGrob("Hi there"))
+grid.place("frame2", rectGrob())
+grid.pack("frame2", textGrob("Hello again"), side = "right")
+grid.pack("frame2", rectGrob(), side = "right", width = unit(1, "null"))
+
+
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/grid/doc/interactive.R
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/grid/doc/interactive.R	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/grid/doc/interactive.R	(revision 3761)
@@ -0,0 +1,90 @@
+### R code from vignette source 'interactive.Rnw'
+
+###################################################
+### code chunk number 1: interactive.Rnw:23-27
+###################################################
+library(grDevices)
+library(grid)
+ps.options(pointsize = 12)
+options(width = 60)
+
+
+###################################################
+### code chunk number 2: fig1
+###################################################
+grid.xaxis(at = 1:4/5, vp = viewport(w = .5, h = 0.01), name = "gxa")
+
+
+###################################################
+### code chunk number 3: edit1 (eval = FALSE)
+###################################################
+## grid.edit("gxa", gp = gpar(col = "red"))
+
+
+###################################################
+### code chunk number 4: fig2
+###################################################
+gxa <- xaxisGrob(at = 1:4/5, vp = viewport(w = .5, h = .01))
+gxa <- editGrob(gxa, gp = gpar(col = "red"))
+grid.draw(gxa)
+
+
+###################################################
+### code chunk number 5: edit2 (eval = FALSE)
+###################################################
+## grid.edit(gPath("gxa", "labels"), gp = gpar(col = "green"))
+
+
+###################################################
+### code chunk number 6: fig3
+###################################################
+gxa <- xaxisGrob(at = 1:4/5, vp = viewport(w = .5, h = .01))
+gxa <- editGrob(gxa, gp = gpar(col = "red"))
+gxa <- editGrob(gxa, gPath = "labels", gp = gpar(col = "green"))
+grid.draw(gxa)
+
+
+###################################################
+### code chunk number 7: edit3 (eval = FALSE)
+###################################################
+## grid.edit("gxa", at = c(0.0, 0.5, 1.0))
+
+
+###################################################
+### code chunk number 8: fig4
+###################################################
+gxa <- xaxisGrob(at = 1:4/5, vp = viewport(w = .5, h = .01))
+gxa <- editGrob(gxa, gp = gpar(col = "red"))
+gxa <- editGrob(gxa, gPath = "labels", gp = gpar(col = "green"))
+gxa <- editGrob(gxa, at = c(0.0, 0.5, 1.0))
+grid.draw(gxa)
+
+
+###################################################
+### code chunk number 9: edit4 (eval = FALSE)
+###################################################
+## grid.edit("gxa::labels", gp = gpar(col = "black"), rot = 30)
+
+
+###################################################
+### code chunk number 10: fig5
+###################################################
+gxa <- xaxisGrob(at = 1:4/5, vp = viewport(w = .5, h = .01))
+gxa <- editGrob(gxa, gp = gpar(col = "red"))
+gxa <- editGrob(gxa, gPath = "labels", gp = gpar(col = "green"))
+gxa <- editGrob(gxa, at = c(0.0, 0.5, 1.0))
+gxa <- editGrob(gxa, gPath = "labels", gp = gpar(col = "black"), rot = 30)
+grid.draw(gxa)
+
+
+###################################################
+### code chunk number 11: interactive.Rnw:128-134
+###################################################
+gxa <- xaxisGrob(at = 1:4/5, vp = viewport(w = .5, h = .01))
+gxa <- editGrob(gxa, gp = gpar(col = "red"))
+gxa <- editGrob(gxa, gPath = "labels", gp = gpar(col = "green"))
+gxa <- editGrob(gxa, at = c(0.0, 0.5, 1.0))
+gxa <- editGrob(gxa, gPath = "labels", gp = gpar(col = "black"), rot = 30)
+grid.draw(gxa)
+
+
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/grid/doc/moveline.Rnw
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/grid/doc/moveline.Rnw	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/grid/doc/moveline.Rnw	(revision 3761)
@@ -0,0 +1,69 @@
+% File src/library/grid/vignettes/moveline.Rnw
+% Part of the R package, https://www.R-project.org
+% Copyright 2001-13 Paul Murrell and the R Core Team
+% Distributed under GPL 2 or later
+
+\documentclass[a4paper]{article}
+%\VignetteIndexEntry{Demonstrating move-to and line-to}
+%\VignettePackage{grid}
+\newcommand{\code}[1]{\texttt{#1}}
+\newcommand{\pkg}[1]{{\normalfont\fontseries{b}\selectfont #1}}
+\newcommand{\grid}{\pkg{grid}}
+\newcommand{\R}{{\sffamily R}}
+\setlength{\parindent}{0in}
+\setlength{\parskip}{.1in}
+\setlength{\textwidth}{140mm}
+\setlength{\oddsidemargin}{10mm}
+\title{Drawing Lines Between Viewports: \\
+\code{grid.move.to} and \code{grid.line.to}}
+\author{Paul Murrell}
+
+\begin{document}
+\maketitle
+
+<<echo=FALSE, results=hide>>=
+library(grDevices)
+library(grid)
+ps.options(pointsize = 12)
+options(width = 60)
+@
+
+Many graphics systems have the notion of a current drawing location.
+This has been added to Grid, with the additional benefit that the
+drawing location can be specified relative to an arbitrary viewport.
+This allows drawing across coordinate
+systems\footnote{There was a request on R-help for exactly this
+sort of thing - I will try to find the exact reference - and there has
+since been another (From: Ross Darnell; Subject: Problems with
+segments and multiple graphs). }.
+
+The following code demonstrates a simple example (the output is
+given after the code).
+
+<<fig, results=hide, fig=TRUE, width=5, height=4, include=FALSE>>=
+pushViewport(
+    viewport(w = 0.8, h = 0.8,
+             layout = grid.layout(1, 3,
+                                  widths = unit(rep(1, 3),
+                                  c("null", "inches", "null")))))
+pushViewport(viewport(layout.pos.col = 1, yscale = c(0, 4)))
+grid.grill(); grid.yaxis(); grid.xaxis()
+grid.points(0.5, unit(2, "native"))
+grid.move.to(0.5, unit(2,"native"))
+popViewport()
+pushViewport(viewport(layout.pos.col = 3, yscale = c(0, 2)))
+grid.grill(); grid.yaxis(); grid.xaxis()
+grid.points(0.5, unit(2, "native"))
+grid.line.to(0.5, unit(2,"native"))
+@
+\begin{center}
+{
+\includegraphics[width=5in, height=4in]{moveline-fig}
+}
+\end{center}
+
+@
+\end{document}
+
+
+
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/grid/doc/grid.R
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/grid/doc/grid.R	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/grid/doc/grid.R	(revision 3761)
@@ -0,0 +1,220 @@
+### R code from vignette source 'grid.Rnw'
+
+###################################################
+### code chunk number 1: grid.Rnw:31-37
+###################################################
+library(grDevices)
+library(graphics) # for par
+library(stats) # for rnorm
+library(grid)
+ps.options(pointsize = 12)
+options(width = 60)
+
+
+###################################################
+### code chunk number 2: grid.Rnw:79-80 (eval = FALSE)
+###################################################
+## viewport(x = 0.5, y = 0.5, width = 0.5, height = 0.25, angle=45)
+
+
+###################################################
+### code chunk number 3: viewport
+###################################################
+grid.show.viewport(viewport(x = 0.5, y = 0.5, width = 0.5, height = 0.25,
+                            angle = 45))
+
+
+###################################################
+### code chunk number 4: pushviewports
+###################################################
+grid.rect(gp = gpar(lty = "dashed"))
+vp1 <- viewport(x = 0, y = 0.5, w = 0.5, h = 0.5,
+                just = c("left", "bottom"), name = "vp1")
+vp2 <- viewport(x = 0.5, y = 0, w = 0.5, h = 0.5,
+                just = c("left", "bottom"))
+pushViewport(vp1)
+grid.rect(gp = gpar(col = "grey"))
+grid.text("Some drawing in graphics region 1", y = 0.8)
+upViewport()
+pushViewport(vp2)
+grid.rect(gp = gpar(col = "grey"))
+grid.text("Some drawing in graphics region 2", y = 0.8)
+upViewport()
+downViewport("vp1")
+grid.text("MORE drawing in graphics region 1", y = 0.2)
+popViewport()
+
+
+###################################################
+### code chunk number 5: vpstack
+###################################################
+grid.rect(gp = gpar(lty = "dashed"))
+vp <- viewport(width = 0.5, height = 0.5)
+pushViewport(vp)
+grid.rect(gp = gpar(col = "grey"))
+grid.text("quarter of the page", y = 0.85)
+pushViewport(vp)
+grid.rect()
+grid.text("quarter of the\nprevious viewport")
+popViewport(2)
+
+
+###################################################
+### code chunk number 6: units
+###################################################
+unit(1, "npc")
+unit(1:3/4, "npc")
+unit(1:3/4, "npc")[2]
+unit(1:3/4, "npc") + unit(1, "inches")
+min(unit(0.5, "npc"), unit(1, "inches"))
+unit.c(unit(0.5, "npc"), unit(2, "inches") + unit(1:3/4, "npc"),
+       unit(1, "strwidth", "hi there"))
+
+
+###################################################
+### code chunk number 7: vpcoords
+###################################################
+pushViewport(viewport(y = unit(3, "lines"), width = 0.9, height = 0.8,
+                      just = "bottom", xscale = c(0, 100)))
+grid.rect(gp = gpar(col = "grey"))
+grid.xaxis()
+pushViewport(viewport(x = unit(60, "native"), y = unit(0.5, "npc"),
+                      width = unit(1, "strwidth", "coordinates for everyone"),
+                      height = unit(3, "inches")))
+grid.rect()
+grid.text("coordinates for everyone")
+popViewport(2)
+
+
+###################################################
+### code chunk number 8: vplayout
+###################################################
+pushViewport(viewport(layout = grid.layout(4, 5)))
+grid.rect(gp = gpar(col = "grey"))
+grid.segments(c(1:4/5, rep(0, 3)), c(rep(0, 4), 1:3/4),
+              c(1:4/5, rep(1, 3)), c(rep(1, 4), 1:3/4),
+              gp = gpar(col = "grey"))
+pushViewport(viewport(layout.pos.col = 2:3, layout.pos.row = 3))
+grid.rect(gp = gpar(lwd = 3))
+popViewport(2)
+
+
+###################################################
+### code chunk number 9: layoutcomplex
+###################################################
+grid.show.layout(grid.layout(4, 4, widths = unit(c(3, 1, 1, 1),
+                             c("lines", "null", "null", "cm")),
+                             heights = c(1, 1, 2, 3),
+                             c("cm", "null", "null", "lines")))
+
+
+###################################################
+### code chunk number 10: gpar
+###################################################
+pushViewport(viewport(gp = gpar(fill = "grey", fontface = "italic")))
+grid.rect()
+grid.rect(width = 0.8, height = 0.6, gp = gpar(fill = "white"))
+grid.text(paste("This text and the inner rectangle",
+                "have specified their own gpar settings", sep = "\n"),
+          y = 0.75, gp = gpar(fontface = "plain"))
+grid.text(paste("This text and the outer rectangle",
+                "accept the gpar settings of the viewport", sep = "\n"),
+          y = 0.25)
+popViewport()
+
+
+###################################################
+### code chunk number 11: simpleplot
+###################################################
+grid.rect(gp = gpar(lty = "dashed"))
+x <- y <- 1:10
+pushViewport(plotViewport(c(5.1, 4.1, 4.1, 2.1)))
+pushViewport(dataViewport(x, y))
+grid.rect()
+grid.xaxis()
+grid.yaxis()
+grid.points(x, y)
+grid.text("1:10", x = unit(-3, "lines"), rot = 90)
+popViewport(2)
+
+
+###################################################
+### code chunk number 12: bpdata
+###################################################
+barData <- matrix(sample(1:4, 16, replace = TRUE), ncol = 4)
+
+
+###################################################
+### code chunk number 13: barconstraint
+###################################################
+boxColours <- 1:4
+
+
+###################################################
+### code chunk number 14: bpfun
+###################################################
+bp <- function(barData) {
+    nbars <- dim(barData)[2]
+    nmeasures <- dim(barData)[1]
+    barTotals <- rbind(rep(0, nbars), apply(barData, 2, cumsum))
+    barYscale <- c(0, max(barTotals)*1.05)
+    pushViewport(plotViewport(c(5, 4, 4, 1),
+                              yscale = barYscale,
+                              layout = grid.layout(1, nbars)))
+    grid.rect()
+    grid.yaxis()
+    for (i in 1:nbars) {
+        pushViewport(viewport(layout.pos.col = i, yscale = barYscale))
+        grid.rect(x = rep(0.5, nmeasures),
+                  y = unit(barTotals[1:nmeasures, i], "native"),
+                  height = unit(diff(barTotals[,i]), "native"),
+                  width = 0.8, just = "bottom", gp = gpar(fill = boxColours))
+        popViewport()
+    }
+    popViewport()
+}
+
+
+###################################################
+### code chunk number 15: legendlabels
+###################################################
+legLabels <- c("Group A", "Group B", "Group C", "Something Longer")
+boxSize <- unit(0.5, "inches")
+
+
+###################################################
+### code chunk number 16: legfun
+###################################################
+leg <- function(legLabels) {
+    nlabels <- length(legLabels)
+    pushViewport(viewport(layout = grid.layout(nlabels, 1)))
+    for (i in 1:nlabels) {
+        pushViewport(viewport(layout.pos.row = i))
+        grid.rect(width = boxSize, height = boxSize, just = "bottom",
+                  gp = gpar(fill = boxColours[i]))
+        grid.text(legLabels[i], y = unit(0.5, "npc") - unit(1, "lines"))
+        popViewport()
+    }
+    popViewport()
+}
+
+
+###################################################
+### code chunk number 17: barplot
+###################################################
+grid.rect(gp = gpar(lty = "dashed"))
+legend.width <- max(unit(rep(1, length(legLabels)),
+                         "strwidth", as.list(legLabels)) +
+                    unit(2, "lines"),
+                    unit(0.5, "inches") + unit(2, "lines"))
+pushViewport(viewport(layout = grid.layout(1, 2,
+                      widths = unit.c(unit(1,"null"), legend.width))))
+pushViewport(viewport(layout.pos.col = 1))
+bp(barData)
+popViewport()
+pushViewport(viewport(layout.pos.col = 2))
+pushViewport(plotViewport(c(5, 0, 4, 0)))
+leg(legLabels)
+popViewport(3)
+
+
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/grid/doc/moveline.pdf
===================================================================
Cannot display: file marked as a binary type.
svn:mime-type = application/octet-stream

Property changes on: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/grid/doc/moveline.pdf
___________________________________________________________________
Added: svn:mime-type
   + application/octet-stream

Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/grid/doc/nonfinite.R
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/grid/doc/nonfinite.R	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/grid/doc/nonfinite.R	(revision 3761)
@@ -0,0 +1,73 @@
+### R code from vignette source 'nonfinite.Rnw'
+
+###################################################
+### code chunk number 1: nonfinite.Rnw:21-25
+###################################################
+library(grDevices)
+library(grid)
+ps.options(pointsize = 12)
+options(width = 60)
+
+
+###################################################
+### code chunk number 2: prim1
+###################################################
+pushViewport(viewport(layout = grid.layout(1, 2,
+                      widths = unit(c(1, 1), c("inches", "null")))))
+grid.rect(gp = gpar(col = "grey"))
+pushViewport(viewport(layout.pos.col = 1))
+grid.text(c("segments", "text", "lines", "rectangles", "circles", "points"),
+          x = 1, just = "right", y = c(0.75, 6:2/10), gp = gpar(col = "grey"))
+popViewport()
+pushViewport(viewport(layout.pos.col = 2))
+x <- 1:7/8
+x[4] <- NA
+grid.lines(x, 0.5)
+grid.text(letters[1:5], x, 0.6)
+grid.segments(x, 0.7, x, 0.8)
+grid.points(x, rep(0.2, 7))
+grid.rect(x, 0.4, 0.02, 0.02)
+grid.circle(x, 0.3, 0.02)
+grid.text("NA", 0.5, 2:8/10, gp = gpar(col = "grey"))
+popViewport(2)
+
+
+###################################################
+### code chunk number 3: prim2
+###################################################
+n <- 7
+primtest2 <- function(nas, na) {
+    t <- seq(0, 2*pi, length = n+1)[-(n+1)]
+    y <- 0.5 + 0.4*sin(t)
+    x <- 0.5 + 0.4*cos(t)
+    if (any(nas))
+        grid.text(paste("NA", (1:n)[nas], sep = ""),
+                  x[nas], y[nas], gp = gpar(col = "grey"))
+    x[nas] <- na
+    y[nas] <- na
+    grid.move.to(x[1], y[1])
+    for (i in 2:n)
+        grid.line.to(x[i], y[i], gp = gpar(lty = "dashed", lwd = 5))
+    grid.polygon(x, y, gp = gpar(fill = "grey", col = NULL))
+    grid.lines(x, y, arrow = arrow())
+}
+celltest <- function(r, c, nas, na) {
+    pushViewport(viewport(layout.pos.col = c, layout.pos.row = r))
+    primtest2(nas, na)
+    grid.rect(gp = gpar(col = "grey"))
+    popViewport()
+}
+cellnas <- function(i) {
+    temp <- rep(FALSE, n)
+    temp[i] <- TRUE
+    temp[n - 3 + i] <- TRUE
+    temp
+}
+pushViewport(viewport(layout = grid.layout(2, 2)))
+celltest(1, 1, rep(FALSE, n), NA)
+celltest(1, 2, cellnas(1), NA)
+celltest(2, 1, cellnas(2), NA)
+celltest(2, 2, cellnas(3), NA)
+popViewport()
+
+
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/grid/doc/frame.R
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/grid/doc/frame.R	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/grid/doc/frame.R	(revision 3761)
@@ -0,0 +1,148 @@
+### R code from vignette source 'frame.Rnw'
+
+###################################################
+### code chunk number 1: frame.Rnw:24-29
+###################################################
+library(grDevices)
+library(stats) # for runif
+library(grid)
+ps.options(pointsize = 12)
+options(width = 60)
+
+
+###################################################
+### code chunk number 2: frame.Rnw:55-56
+###################################################
+gf <- frameGrob()
+
+
+###################################################
+### code chunk number 3: frame.Rnw:101-102
+###################################################
+gf <- packGrob(gf, textGrob("Hello frame!"))
+
+
+###################################################
+### code chunk number 4: frame1
+###################################################
+st <- grid.text("some text")
+grid.rect(width = unit(1, "grobwidth", st),
+          height = unit(1, "grobheight", st))
+
+
+###################################################
+### code chunk number 5: frame1
+###################################################
+grid.text("some text", name = "st")
+grid.rect(width = unit(1, "grobwidth", "st"),
+          height = unit(1, "grobheight", "st"))
+
+
+###################################################
+### code chunk number 6: frame.Rnw:141-143 (eval = FALSE)
+###################################################
+## grid.edit("st", gp = gpar(fontsize = 20))
+## 
+
+
+###################################################
+### code chunk number 7: frame2
+###################################################
+my.text <- textGrob("some text")
+my.text <- editGrob(my.text, gp = gpar(fontsize = 20))
+my.rect <- rectGrob(width = unit(1, "grobwidth", my.text),
+                    height = unit(1, "grobheight", my.text))
+grid.draw(my.text)
+grid.draw(my.rect)
+
+
+###################################################
+### code chunk number 8: frame.Rnw:158-160 (eval = FALSE)
+###################################################
+## grid.edit("st", label="some different text")
+## 
+
+
+###################################################
+### code chunk number 9: frame3
+###################################################
+my.text <- textGrob("some text")
+my.text <- editGrob(my.text, gp = gpar(fontsize = 20))
+my.text <- editGrob(my.text, label = "some different text")
+my.rect <- rectGrob(width = unit(1, "grobwidth", my.text),
+                    height = unit(1, "grobheight", my.text))
+grid.draw(my.text)
+grid.draw(my.rect)
+
+
+###################################################
+### code chunk number 10: frame.Rnw:252-286
+###################################################
+legendGrob <- function(pch, labels, frame = TRUE,
+                        hgap = unit(1, "lines"), vgap = unit(1, "lines"),
+                        default.units = "lines",
+                        vp = NULL) {
+  nkeys <- length(labels)
+  gf <- frameGrob(vp = vp)
+  for (i in 1:nkeys) {
+    if (i == 1) {
+        symbol.border <- unit.c(vgap, hgap, vgap, hgap)
+        text.border <- unit.c(vgap, unit(0, "npc"), vgap,
+            hgap)
+    } else {
+        symbol.border <- unit.c(vgap, hgap, unit(0, "npc"), hgap)
+        text.border <- unit.c(vgap, unit(0, "npc"), unit(0, "npc"), hgap)
+    }
+    gf <- packGrob(gf, pointsGrob(0.5, 0.5, pch = pch[i]),
+                   col = 1, row = i, border = symbol.border,
+                   width = unit(1, "lines"),
+                   height = unit(1, "lines"), force.width = TRUE)
+    gf <- packGrob(gf, textGrob(labels[i], x = 0, y = 0.5,
+                                just = c("left", "centre")),
+                   col = 2, row = i, border = text.border)
+  }
+  gf
+}
+
+grid.legend <- function(pch, labels, frame = TRUE,
+                        hgap = unit(1, "lines"), vgap = unit(1, "lines"),
+                        default.units = "lines", draw = TRUE,
+                        vp = NULL) {
+  gf <- legendGrob(pch, labels, frame, hgap, vgap, default.units, vp)
+  if (draw) grid.draw(gf)
+  gf
+}
+
+
+###################################################
+### code chunk number 11: legend
+###################################################
+grid.legend(1:3, c("one line", "two\nlines", "three\nlines\nof text"))
+
+
+
+###################################################
+### code chunk number 12: plot
+###################################################
+top.vp <- viewport(width = 0.8, height = 0.8)
+pushViewport(top.vp)
+x <- runif(10)
+y1 <- runif(10)
+y2 <- runif(10)
+pch <- 1:3
+labels <- c("Girls", "Boys", "Other")
+gf <- frameGrob()
+plt <- gTree(children = gList(rectGrob(),
+                              pointsGrob(x, y1, pch = 1),
+                              pointsGrob(x, y2, pch = 2),
+                              xaxisGrob(),
+                              yaxisGrob()))
+gf <- packGrob(gf, plt)
+gf <- packGrob(gf, legendGrob(pch, labels),
+               height = unit(1, "null"), side = "right")
+grid.rect(gp = gpar(col = "grey"))
+grid.draw(gf)
+popViewport()
+grid.rect(gp = gpar(lty = "dashed"), width = .99, height = .99)
+
+
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/grid/doc/sharing.R
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/grid/doc/sharing.R	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/grid/doc/sharing.R	(revision 3761)
@@ -0,0 +1,140 @@
+### R code from vignette source 'sharing.Rnw'
+
+###################################################
+### code chunk number 1: sharing.Rnw:20-26
+###################################################
+library(grDevices)
+library(graphics)
+library(stats) # for rnorm
+library(grid)
+ps.options(pointsize = 12)
+options(width = 60)
+
+
+###################################################
+### code chunk number 2: axes1 (eval = FALSE)
+###################################################
+## pushViewport(viewport(layout = grid.layout(1, 2, respect = TRUE)))
+
+
+###################################################
+### code chunk number 3: axes2 (eval = FALSE)
+###################################################
+## x <- 1:10
+## y1 <- rnorm(10)
+## vp1a <- viewport(layout.pos.col = 1)
+## vp1b <- viewport(width = 0.6, height = 0.6,
+##                  xscale = c(0, 11), yscale = c(-4, 4))
+## pushViewport(vp1a, vp1b)
+## grid.xaxis(name = "xaxis")
+## grid.yaxis(name = "yaxis")
+## grid.points(x, y1)
+## popViewport(2)
+
+
+###################################################
+### code chunk number 4: axes3 (eval = FALSE)
+###################################################
+## y2 <- rnorm(10)
+## vp2a <- viewport(layout.pos.col = 2)
+## vp2b <- viewport(width = 0.6, height = 0.6,
+##                  xscale = c(0, 11), yscale = c(-4, 4))
+## pushViewport(vp2a, vp2b)
+## grid.xaxis
+## grid.xaxis(name = "xaxis")
+## grid.yaxis(name = "yaxis")
+## grid.points(x, y2)
+## popViewport(2)
+
+
+###################################################
+### code chunk number 5: shared
+###################################################
+pushViewport(viewport(layout = grid.layout(1, 2, respect = TRUE)))
+x <- 1:10
+y1 <- rnorm(10)
+vp1a <- viewport(layout.pos.col = 1)
+vp1b <- viewport(width = 0.6, height = 0.6,
+                 xscale = c(0, 11), yscale = c(-4, 4))
+pushViewport(vp1a, vp1b)
+grid.xaxis(name = "xaxis")
+grid.yaxis(name = "yaxis")
+grid.points(x, y1)
+popViewport(2)
+y2 <- rnorm(10)
+vp2a <- viewport(layout.pos.col = 2)
+vp2b <- viewport(width = 0.6, height = 0.6,
+                 xscale = c(0, 11), yscale = c(-4, 4))
+pushViewport(vp2a, vp2b)
+grid.xaxis
+grid.xaxis(name = "xaxis")
+grid.yaxis(name = "yaxis")
+grid.points(x, y2)
+popViewport(2)
+
+
+
+###################################################
+### code chunk number 6: axesedit (eval = FALSE)
+###################################################
+## grid.edit("xaxis", at = c(1, 5, 9), global = TRUE)
+## 
+
+
+###################################################
+### code chunk number 7: shared2
+###################################################
+postscript("shared2-%02d.eps", onefile = FALSE, paper = "special",
+           width = 4, height = 2)
+pushViewport(viewport(layout = grid.layout(1, 2, respect = TRUE)))
+x <- 1:10
+y1 <- rnorm(10)
+vp1a <- viewport(layout.pos.col = 1)
+vp1b <- viewport(width = 0.6, height = 0.6,
+                 xscale = c(0, 11), yscale = c(-4, 4))
+pushViewport(vp1a, vp1b)
+grid.xaxis(name = "xaxis")
+grid.yaxis(name = "yaxis")
+grid.points(x, y1)
+popViewport(2)
+y2 <- rnorm(10)
+vp2a <- viewport(layout.pos.col = 2)
+vp2b <- viewport(width = 0.6, height = 0.6,
+                 xscale = c(0, 11), yscale = c(-4, 4))
+pushViewport(vp2a, vp2b)
+grid.xaxis
+grid.xaxis(name = "xaxis")
+grid.yaxis(name = "yaxis")
+grid.points(x, y2)
+popViewport(2)
+grid.edit("xaxis", at = c(1, 5, 9), global = TRUE)
+
+dev.off()
+
+pdf("shared2-%02d.pdf", onefile = FALSE, width = 4, height = 2)
+pushViewport(viewport(layout = grid.layout(1, 2, respect = TRUE)))
+x <- 1:10
+y1 <- rnorm(10)
+vp1a <- viewport(layout.pos.col = 1)
+vp1b <- viewport(width = 0.6, height = 0.6,
+                 xscale = c(0, 11), yscale = c(-4, 4))
+pushViewport(vp1a, vp1b)
+grid.xaxis(name = "xaxis")
+grid.yaxis(name = "yaxis")
+grid.points(x, y1)
+popViewport(2)
+y2 <- rnorm(10)
+vp2a <- viewport(layout.pos.col = 2)
+vp2b <- viewport(width = 0.6, height = 0.6,
+                 xscale = c(0, 11), yscale = c(-4, 4))
+pushViewport(vp2a, vp2b)
+grid.xaxis
+grid.xaxis(name = "xaxis")
+grid.yaxis(name = "yaxis")
+grid.points(x, y2)
+popViewport(2)
+grid.edit("xaxis", at = c(1, 5, 9), global = TRUE)
+
+dev.off()
+
+
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/grid/doc/DivByZero.txt
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/grid/doc/DivByZero.txt	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/grid/doc/DivByZero.txt	(revision 3761)
@@ -0,0 +1,50 @@
+
+DIVISION BY ZERO in grid units:
+
+- There are two main conversion scenarios in grid:
+
+  + converting a unit to a final location/dimension for drawing
+    (or for determining the boundary of a drawn object)
+
+    - The grid graphics package converts all incoming units to INCHES 
+      (then uses R graphics engine to convert to device coordinates)
+
+    - Almost all conversions to INCHES involve multiplication only
+
+    - The exception is "native" units, which require a division by
+      the range of the native scale.  This creates the possibility
+      of division by zero if the range of the native scale is zero
+      (i.e., the scale limits are identical).
+
+      SOLUTION:  make it an error to set a scale with identical limits.
+
+  + converting from one unit to another (within a viewport context)
+
+    - Conversions, via convertUnit(), involve two steps: 
+      conversion from the original unit TO inches and then 
+      conversion FROM inches to the final unit.
+
+    - Any division-by-zero in the conversion TO inches is avoided
+      by the solution above.
+
+    - Division-by-zero in the conversion FROM inches can occur 
+      IF the viewport has zero physical width or height 
+      AND the final unit is relative ("npc" or "native").
+
+      SOLUTION:  (i) IF original unit is also relative ...
+                     (a) IF original unit is plain unit AND we are NOT
+                         converting 'x' to 'y' (or vice versa) catch this
+                         as special case and make it work.
+                     (b) OTHERWISE (original unit is complex or we are
+                         converting 'x' to 'y' or vice versa)
+                         return zero.
+                 (ii) IF original unit is absolute, throw an error
+      (because the conversion does not make sense) UNLESS the original
+      unit value is zero, in which case return zero.
+
+    - NOTE that conversion FROM anything TO an absolute final unit
+      does not risk division-by-zero, even when viewport has zero
+      physical width or height.  (The result is either zero, if
+      the original unit is relative, or an identity operation [in 
+      terms of the physical result] if the original unit is absolute.)
+
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/grid/doc/plotexample.Rnw
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/grid/doc/plotexample.Rnw	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/grid/doc/plotexample.Rnw	(revision 3761)
@@ -0,0 +1,587 @@
+% File src/library/grid/vignettes/plotexample.Rnw
+% Part of the R package, https://www.R-project.org
+% Copyright 2001-13 Paul Murrell and the R Core Team
+% Distributed under GPL 2 or later
+
+\documentclass[a4paper]{article}
+%\VignetteIndexEntry{Writing grid Code}
+%\VignettePackage{grid}
+\newcommand{\code}[1]{\texttt{#1}}
+\newcommand{\pkg}[1]{{\normalfont\fontseries{b}\selectfont #1}}
+\newcommand{\grid}{\pkg{grid}}
+\newcommand{\grob}{\code{grob}}
+\newcommand{\gTree}{\code{gTree}}
+\newcommand{\R}{{\sffamily R}}
+\setlength{\parindent}{0in}
+\setlength{\parskip}{.1in}
+\setlength{\textwidth}{140mm}
+\setlength{\oddsidemargin}{10mm}
+
+\newcommand{\aside}[1]{\begin{list}{}
+                                   {\setlength{\leftmargin}{1in}
+                                    \setlength{\rightmargin}{1in}
+                                    \setlength{\itemindent}{0in}}
+                       \item \textsc{Aside:} \emph{#1}
+                       \end{list}}
+
+\title{Writing \grid{} Code}
+\author{Paul Murrell}
+
+\begin{document}
+\maketitle
+
+<<echo=FALSE, results=hide>>=
+library(grDevices)
+library(stats) # for runif()
+library(grid)
+ps.options(pointsize=12)
+options(width=60)
+@
+
+The \grid{} system contains a degree of complexity in order
+to allow things like editing graphical objects, ``packing'' graphical
+objects, and so on.  This means that many of the
+predefined Grid graphics functions are
+relatively complicated\footnote{Although there are exceptions;  some
+functions, such as \code{grid.show.viewport}, are purely for producing
+illustrative diagrams and remain simple and procedural.}.
+
+One design aim of \grid{} is to allow users to create simple graphics
+simply and not to force them to use complicated concepts or write
+complicated code unless they actually need to.  Along similar lines,
+it is intended that people should be able to prototype even complex
+graphics very simply and then refine the implementation into a more
+sophisticated form if necessary.
+
+With the predefined graphics functions being fully-developed and
+complicated implementations, there is a lack of examples of simple,
+prototype code.  Furthermore, given that the aim is to allow a range
+of ways to produce the same graphical output, there is a need for
+examples which demonstrate the various stages, from simple to complex,
+that a piece of \grid{} code can go through.
+
+This document describes the construction of a scatterplot object, like
+that shown below, going from the simplest, prototype implementation to
+the most complex and sophisticated.  It demonstrates that if you only
+want simple graphics output then you can do it pretty simply and
+quickly.  It also demonstrates how to write functions that allow your
+graphics to be used by other people.  Finally, it demonstrates how to
+make your graphics fully interactive (or at least as interactive as
+Grid will let you make it).
+
+@
+This document should be read {\em after} the \grid{} Users'
+Guide.  Here we are assuming that the reader has an understanding
+of viewports, layouts, and units.  For the later sections of the
+document, it will also be helpful to have an understanding of
+\R{}'s \code{S3} object system.
+
+\section*{Procedural \grid{}}
+
+The simplest way to produce graphical output in Grid is just like
+producing standard R graphical output.  You simply issue a series of
+graphics commands and each command adds more ink to the plot.  The
+purpose of the commands is simply to produce graphics output; in
+particular, we are not concerned with any values returned by the
+plotting functions.  I will call this \emph{procedural graphics}.
+
+In order to draw a simple scatterplot, we can  issue a series
+of commands which draw the various components of the plot.
+
+Here are some random data to plot.
+
+<<>>=
+x <- runif(10)
+y <- runif(10)
+@
+\noindent
+The first step in creating the plot involves defining a ``data'' region.
+This is a region which has sensible scales on the axes for plotting the
+data and margins around the outside
+for the axes to fit in, with a space for a title at the top.
+
+<<datavp>>=
+data.vp <- viewport(x = unit(5, "lines"),
+                    y = unit(4, "lines"),
+                    width = unit(1, "npc") - unit(7, "lines"),
+                    height = unit(1, "npc") - unit(7, "lines"),
+                    just = c("left", "bottom"),
+                    xscale = range(x) + c(-0.05, 0.05)*diff(range(x)),
+                    yscale = range(y) + c(-0.05, 0.05)*diff(range(y)))
+@
+\noindent
+Now we create the data region and draw the components of the plot
+relative to it: points, axes, labels, and a title.
+
+<<procplot>>=
+pushViewport(data.vp)
+grid.points(x, y)
+grid.rect()
+grid.xaxis()
+grid.yaxis()
+grid.text("x axis", y = unit(-3, "lines"),
+          gp = gpar(fontsize = 14))
+grid.text("y axis", x = unit(-4, "lines"),
+          gp = gpar(fontsize = 14), rot = 90)
+grid.text("A Simple Plot",
+          y = unit(1, "npc") + unit(1.5, "lines"),
+          gp = gpar(fontsize = 16))
+popViewport()
+<<fig=TRUE, echo=FALSE, results=hide>>=
+<<procplot>>
+@
+\section*{Facilitating Annotation}
+
+Issuing a series of commands to produce a plot, like in the previous
+section, allows the user to have a great deal of flexibility.
+It is always possible to recreate viewports in order to add
+further annotations.  For example, the following code
+recreates the data region in order to place the date
+at the bottom right corner.
+
+<<ann1>>=
+pushViewport(data.vp)
+grid.text(date(), x = unit(1, "npc"), y = 0,
+          just = c("right", "bottom"), gp = gpar(col="grey"))
+popViewport()
+<<fig=TRUE, echo=FALSE, results=hide>>=
+<<procplot>>
+<<ann1>>
+@
+
+When more complex arrangements of viewports are involved, there may be
+a bewildering array of viewports created, which may make it difficult
+for other users to revisit a particular region of a plot.  A
+\code{lattice} plot is a good example.  In such cases, it will be more
+cooperative to use \code{upViewport()} rather than
+\code{popViewport()} and leave the viewports that were created during
+the drawing of the plot.  Other users can then use \code{vpPath}s to
+navigate to the desired region.  For example, here is a slight
+modification of the original series of commands, where the original
+data viewport is given a name and \code{upViewport()} is used at the
+end.
+
+<<results=hide>>=
+data.vp <- viewport(name = "dataregion",
+                    x = unit(5, "lines"),
+                    y = unit(4, "lines"),
+                    width = unit(1, "npc") - unit(7, "lines"),
+                    height = unit(1, "npc") - unit(7, "lines"),
+                    just = c("left", "bottom"),
+                    xscale = range(x) + c(-0.05, 0.05)*diff(range(x)),
+                    yscale = range(y) + c(-0.05, 0.05)*diff(range(y)))
+pushViewport(data.vp)
+grid.points(x, y)
+grid.rect()
+grid.xaxis()
+grid.yaxis()
+grid.text("x axis", y = unit(-3, "lines"),
+          gp = gpar(fontsize = 14))
+grid.text("y axis", x = unit(-4, "lines"),
+          gp = gpar(fontsize = 14), rot = 90)
+grid.text("A Simple Plot",
+          y = unit(1, "npc") + unit(1.5, "lines"),
+          gp = gpar(fontsize = 16))
+upViewport()
+@
+
+The date is now added using \code{downViewport()} to get to the data
+region.
+
+<<results=hide>>=
+downViewport("dataregion")
+grid.text(date(), x = unit(1, "npc"), y  =  0,
+          just = c("right", "bottom"), gp = gpar(col = "grey"))
+upViewport()
+@
+\section*{Writing a \grid{} Function}
+
+Here is the scatterplot code wrapped up as a simple function.
+
+<<funcplot>>=
+splot <- function(x = runif(10), y = runif(10), title = "A Simple Plot") {
+    data.vp <- viewport(name = "dataregion",
+                        x = unit(5, "lines"),
+                        y = unit(4, "lines"),
+                        width = unit(1, "npc") - unit(7, "lines"),
+                        height = unit(1, "npc") - unit(7, "lines"),
+                        just = c("left", "bottom"),
+                        xscale = range(x) + c(-.05, .05)*diff(range(x)),
+                        yscale = range(y) + c(-.05, .05)*diff(range(y)))
+    pushViewport(data.vp)
+    grid.points(x, y)
+    grid.rect()
+    grid.xaxis()
+    grid.yaxis()
+    grid.text("y axis", x = unit(-4, "lines"),
+              gp = gpar(fontsize = 14), rot = 90)
+    grid.text(title, y = unit(1, "npc") + unit(1.5, "lines"),
+              gp = gpar(fontsize = 16))
+    upViewport()
+}
+@
+There are several advantages to creating a
+function:
+\begin{enumerate}
+\item We get the standard advantages of a function:
+we can reuse and maintain the plot code more easily.
+\item We can slightly generalise the plot.  In this case, we can use it for
+different data and have a different title.  We could
+add more arguments to allow different margins, control over
+the axis scales, and so on.
+\item The plot can be embedded in other graphics output.
+\end{enumerate}
+Here is an example which uses the \code{splot()} function to
+create a slightly modified scatterplot, embedded within
+other \grid{} output.
+
+<<embed, fig=TRUE, results=hide>>=
+grid.rect(gp = gpar(fill = "grey"))
+message <-
+    paste("I could draw all sorts",
+          "of stuff over here",
+          "then create a viewport",
+          "over there and stick",
+          "a scatterplot in it.", sep = "\n")
+grid.text(message, x = 0.25)
+grid.lines(x = unit.c(unit(0.25, "npc") + 0.5*stringWidth(message) +
+           unit(2, "mm"),
+           unit(0.5, "npc") - unit(2, "mm")),
+           y = 0.5,
+           arrow = arrow(angle = 15, type = "closed"),
+           gp = gpar(lwd = 3, fill = "black"))
+pushViewport(viewport(x = 0.5, height = 0.5, width = 0.45, just = "left",
+                      gp = gpar(cex = 0.5)))
+grid.rect(gp = gpar(fill = "white"))
+splot(1:10, 1:10, title = "An Embedded Plot")
+upViewport()
+@
+
+It is still straightforward to annotate the scatterplot as long as
+we have enough information about the viewports.  In this case,
+a non-strict \code{downViewport()} will still work (though note
+that \code{upViewport({\bf 0})} is required to get right back to the
+top level).
+
+<<ann2, echo = FALSE, eval=FALSE>>=
+downViewport("dataregion")
+grid.text(date(), x = unit(1, "npc"), y  =  0,
+          just = c("right", "bottom"), gp = gpar(col = "grey"))
+upViewport(0)
+<<echo=FALSE, results=hide>>=
+<<embed>>
+<<ann2>>
+@
+\section*{Creating \grid{} Graphical Objects}
+
+A \grid{} function like the one in the previous section provides
+output which is very flexible and can be annotated in arbitrary ways
+and can be embedded within other output.  This is likely
+to satisfy most uses.
+
+However, there are some things that cannot be done (or at least would
+be extremely hard to do) with such a function.  The output produced by
+the function cannot be addressed as a coherent whole.  It is not
+possible, for example, to to change the \code{x} and \code{y} data
+used in the plot and have the points and axes update automatically.
+There is no scatterplot object to save; the individual components
+exist, but they are not bound together as a whole.  If/when these
+sorts of issues become important, it becomes necessary to create a
+\grid{} graphical object (a \grob{}) to represent the plot.
+
+The first step is to write a function which will create a \grob{}
+-- a \emph{constructor} function.  In most cases, this will involve
+creating a special sort of \grob{} called a \gTree{};  this is just
+a \grob{} that can have other \grob{}s as children.  Here's an example
+for creating an \code{splot} \grob{}.  I have put bits of the
+construction into separate functions, for reasons which will become
+apparent later.
+
+<<>>=
+splot.data.vp <- function(x, y) {
+  viewport(name = "dataregion",
+           x = unit(5, "lines"),
+           y = unit(4, "lines"),
+           width = unit(1, "npc") - unit(7, "lines"),
+           height = unit(1, "npc") - unit(7, "lines"),
+           just = c("left", "bottom"),
+           xscale = range(x) + c(-.05, .05)*diff(range(x)),
+           yscale = range(y) + c(-.05, .05)*diff(range(y)))
+}
+
+splot.title <- function(title) {
+      textGrob(title, name = "title",
+               y = unit(1, "npc") + unit(1.5, "lines"),
+               gp = gpar(fontsize = 16), vp = "dataregion")
+}
+
+splot <- function(x, y, title, name=NULL, draw=TRUE, gp=gpar(), vp=NULL) {
+    spg <- gTree(x = x, y = y, title = title, name = name,
+                 childrenvp  =  splot.data.vp(x, y),
+                 children = gList(rectGrob(name = "border",
+                                           vp = "dataregion"),
+                 xaxisGrob(name = "xaxis", vp = "dataregion"),
+                 yaxisGrob(name = "yaxis", vp = "dataregion"),
+                 pointsGrob(x, y, name = "points", vp = "dataregion"),
+                 textGrob("x axis", y = unit(-3, "lines"), name = "xlab",
+                          gp = gpar(fontsize = 14), vp = "dataregion"),
+                 textGrob("y axis", x = unit(-4, "lines"), name = "ylab",
+                          gp = gpar(fontsize = 14), rot = 90,
+                          vp = "dataregion"),
+                 splot.title(title)),
+                 gp = gp, vp = vp,
+                 cl = "splot")
+    if (draw) grid.draw(spg)
+    spg
+}
+@
+
+There are four important additions to the argument list compared
+to the original \code{splot()} function:
+\begin{enumerate}
+\item The \code{name} argument allows a string identifier to be
+  associated with the scatterplot object we create.  This is important
+  for being able to specify the scatterplot when we try to edit it
+  after drawing it and/or when it is part of a larger \grob{} (see
+  later examples).
+
+\item The \code{draw} argument makes it possible to use the function
+  in a procedural manner as before:
+
+<<splotgrob, eval=FALSE, echo=FALSE>>=
+sg <- splot(1:10, 1:10, "Same as Before", name = "splot", draw = FALSE)
+<<>>=
+splot(1:10, 1:10, "Same as Before", name = "splot")
+downViewport("dataregion")
+grid.text(date(), x = unit(1, "npc"), y = 0,
+          just = c("right", "bottom"), gp = gpar(col = "grey"))
+upViewport(0)
+@
+\item The \code{gp} argument allows the user to supply \code{gpar()}
+  settings for the scatterplot as a whole.
+
+\item The \code{vp} argument allows the user to supply a viewport for
+  the \code{splot} \grob{} to be drawn in.  This is especially useful
+  for specifying a \code{vpPath} when the \code{splot} is used as a
+  component of another \grob{} (see scatterplot matrix example below).
+\end{enumerate}
+
+The important parts of the \gTree{}  definition are:
+\begin{enumerate}
+\item The \code{children} argument provides a list of \grob{}s which
+  are part of the scatterplot.  When the scatterplot is drawn, all
+  children will be drawn.  Notice that instead of the procedural
+  \code{grid.*()} functions we use \code{*Grob()} functions which just
+  produce \grob{}s and do not perform any drawing.  Also notice that I
+  have given each of the children a name; this will make it possible
+  to access the components of the scatterplot (see later examples).
+\item The \code{childrenvp} argument provides a viewport (or
+  \code{vpStack}, \code{vpList}, or \code{vpTree}) which will be
+  pushed before the children are drawn.  The difference between this
+  argument and the \code{vp} argument common to all \grob{}s is that
+  the \code{vp} is pushed before drawing the children and then popped
+  after, whereas the \code{childrenvp} gets pushed \emph{and} then a
+  call to \code{upViewport()} is made before the children are drawn.
+  This allows the children to simply specify the viewport they should
+  be drawn in by way of a \code{vpPath} in their \code{vp} argument.
+  In this way, viewports remain available for further annotation such
+  as we have already seen in procedural code.
+\item The \code{gp} and \code{vp} arguments are automatically handled
+  by the \gTree{} drawing methods so that \code{gpar()} settings will
+  be enforced and the viewport will be pushed when the \code{splot} is
+  drawn.
+\item The \code{cl} argument means that the \grob{} created is a
+  special sort of \grob{} called \code{splot}.  This will allow us to
+  write methods specifically for our scatterplot (see later examples).
+\end{enumerate}
+
+
+@
+
+Now that we have a \grob{}, there are some more interesting things
+that we can do with it.  First of all, the \code{splot} \grob{}
+provides a container for the \grob{}s which make up the scatterplot.
+If we modify the \code{splot} \grob{}, it affects all of the children.
+
+<<results=hide>>=
+splot(1:10, 1:10, "Same as Before", name = "splot")
+grid.edit("splot", gp = gpar(cex=0.5))
+<<fig=TRUE, echo=FALSE, results=hide>>=
+<<splotgrob>>
+sg <- editGrob(sg, gp = gpar(cex = 0.5))
+grid.draw(sg)
+@
+
+We can access elements of the \code{splot} \grob{} to edit them
+individually.
+
+<<results=hide>>=
+splot(1:10, 1:10, "Same as Before", name = "splot")
+grid.edit(gPath("splot", "points"), gp = gpar(col = 1:10))
+<<fig=TRUE, echo=FALSE, results=hide>>=
+<<splotgrob>>
+sg <- editGrob(sg, gPath = "points", gp = gpar(col = 1:10))
+grid.draw(sg)
+
+@
+
+With a little more work we can make the scatterplot a bit more dynamic.
+The following describes a \code{editDetails()} method for the
+\code{splot} \grob{}.  This will be called whenever a scatterplot
+is edited and will update the components of the scatterplot.
+
+<<>>=
+editDetails.splot <- function(x, specs) {
+    if (any(c("x", "y") %in% names(specs))) {
+        if (is.null(specs$x)) xx <- x$x else xx <- specs$x
+        if (is.null(specs$y)) yy <- x$y else yy <- specs$y
+        x$childrenvp <- splot.data.vp(xx, yy)
+        x <- addGrob(x, pointsGrob(xx, yy, name = "points",
+                                   vp = "dataregion"))
+    }
+  x
+}
+splot(1:10, 1:10, "Same as Before", name = "splot")
+grid.edit("splot", x = 1:100, y = (1:100)^2)
+<<fig=TRUE, echo=FALSE, results=hide>>=
+<<splotgrob>>
+sg <- editGrob(sg, x = 1:100, y = (1:100)^2)
+grid.draw(sg)
+@
+
+The \code{splot} \grob{} can also be used in the construction of other
+\grob{}s.  Here's a simple scatterplot matrix \grob{}\footnote{{\bf
+    Warning:} As the number of \grob{}s in a \gTree{} gets larger the
+  construction of the \gTree{} will get slow.  If this happens, the
+  best solution is to just use a \grid{} function rather than a
+  \gTree{}, and wait for me to implement some ideas for speeding
+  things up!}.
+
+<<fig=TRUE>>=
+cellname <- function(i, j) paste("cell", i, j, sep = "")
+
+splom.vpTree <- function(n) {
+    vplist <- vector("list", n^2)
+    for (i in 1:n)
+        for (j in 1:n)
+            vplist[[(i - 1)*n + j]] <-
+              viewport(layout.pos.row = i, layout.pos.col = j,
+                       name = cellname(i, j))
+    vpTree(viewport(layout = grid.layout(n, n), name = "cellgrid"),
+    do.call("vpList", vplist))
+}
+
+cellpath <- function(i, j) vpPath("cellgrid", cellname(i, j))
+
+splom <- function(df, name = NULL, draw = TRUE) {
+    n <- dim(df)[2]
+    glist <- vector("list", n*n)
+    for (i in 1:n)
+        for (j in 1:n) {
+            glist[[(i - 1)*n + j]] <-if (i == j)
+                textGrob(paste("diag", i, sep = ""),
+                         gp = gpar(col = "grey"), vp = cellpath(i, j))
+            else if (j > i)
+                textGrob(cellname(i, j),
+                         name = cellname(i, j),
+                         gp = gpar(col = "grey"), vp = cellpath(i, j))
+            else
+                splot(df[,j], df[,i], "",
+                      name = paste("plot", i, j, sep = ""),
+                      vp = cellpath(i, j),
+                      gp = gpar(cex = 0.5), draw = FALSE)
+        }
+    smg <- gTree(name = name, childrenvp = splom.vpTree(n),
+                 children = do.call("gList", glist))
+    if (draw) grid.draw(smg)
+    smg
+}
+
+df <- data.frame(x = rnorm(10), y = rnorm(10), z = rnorm(10))
+splom(df)
+@
+
+This \grob{} can be edited as usual:
+
+<<>>=
+splom(df)
+grid.edit("plot21::xlab", label = "", redraw = FALSE)
+grid.edit("plot32::ylab", label = "", redraw = FALSE)
+grid.edit("plot21::xaxis", label = FALSE, redraw = FALSE)
+grid.edit("plot32::yaxis", label = FALSE)
+<<splomgrob, eval=FALSE, echo=FALSE>>=
+smg <- splom(df, draw = FALSE)
+<<fig=TRUE, echo=FALSE, results=hide>>=
+<<splomgrob>>
+smg <- editGrob(smg, gPath = "plot21::xaxis", label = FALSE)
+smg <- editGrob(smg, gPath = "plot21::xlab", label = "")
+smg <- editGrob(smg, gPath = "plot32::yaxis", label = FALSE)
+smg <- editGrob(smg, gPath = "plot32::ylab", label = "")
+grid.draw(smg)
+@
+
+But of more interest, because this is a \grob{}, is the
+\emph{programmatic} interface.  With a \grob{} (as opposed to a
+function) it is possible to modify the description of what is being
+drawn via an API (as opposed to having to edit the original code).  In
+the following, we remove one of the ``spare'' cell labels and put in
+its place the current date.
+
+<<>>=
+splom(df, name = "splom")
+grid.remove("cell12")
+grid.add("splom", textGrob(date(), name = "date",
+                           gp = gpar(fontface = "italic"),
+                           vp = "cellgrid::cell12"))
+<<fig=TRUE, echo=FALSE, results=hide>>=
+<<splomgrob>>
+smg <- removeGrob(smg, "cell12")
+smg <- addGrob(smg, textGrob(date(), name = "date",
+                             gp = gpar(fontface = "italic"),
+                             vp = "cellgrid::cell12"))
+grid.draw(smg)
+@
+
+With the date added as a component of the scatterplot matrix, it is
+saved as part of the matrix.  The next sequence saves the scatterplot
+matrix, loads it again, extracts the bottom-left plot and the date
+and just draws those two objects together.
+
+<<>>=
+splom(df, name = "splom")
+grid.remove("cell12")
+grid.add("splom", textGrob(date(), name = "date",
+                           gp = gpar(fontface = "italic"),
+                           vp = "cellgrid::cell12"))
+smg <- grid.get("splom")
+save(smg, file = "splom.RData")
+load("splom.RData")
+plot <- getGrob(smg, "plot31")
+date <- getGrob(smg, "date")
+plot <- editGrob(plot, vp = NULL, gp = gpar(cex = 1))
+date <- editGrob(date, y = unit(1, "npc") - unit(1, "lines"), vp = NULL)
+grid.newpage()
+grid.draw(plot)
+grid.draw(date)
+
+<<fig=TRUE, echo=FALSE, results=hide>>=
+<<splomgrob>>
+smg <- removeGrob(smg, "cell12")
+smg <- addGrob(smg, textGrob(date(), name = "date",
+                             gp = gpar(fontface = "italic"),
+                             vp = "cellgrid::cell12"))
+save(smg, file = "splom.RData")
+load("splom.RData")
+plot <- getGrob(smg, "plot31")
+date <- getGrob(smg, "date")
+plot <- editGrob(plot, vp = NULL, gp = gpar(cex = 1))
+date <- editGrob(date, y = unit(1, "npc") - unit(1, "lines"), vp = NULL)
+grid.draw(plot)
+grid.draw(date)
+@
+
+All of this may seem a bit irrelevant to interactive use, but it does
+provide a basis for creating an editable plot interface as used in
+M.~Kondrin's \pkg{Rgrace} package (available on CRAN 2005--7).
+
+\end{document}
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/grid/doc/plotexample.pdf
===================================================================
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Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/grid/doc/saveload.Rnw
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/grid/doc/saveload.Rnw	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/grid/doc/saveload.Rnw	(revision 3761)
@@ -0,0 +1,115 @@
+% File src/library/grid/vignettes/saveload.Rnw
+% Part of the R package, https://www.R-project.org
+% Copyright 2001-13 Paul Murrell and the R Core Team
+% Distributed under GPL 2 or later
+
+\documentclass[a4paper]{article}
+%\VignetteIndexEntry{Persistent representations}
+%\VignettePackage{grid}
+\newcommand{\code}[1]{\texttt{#1}}
+\newcommand{\pkg}[1]{{\normalfont\fontseries{b}\selectfont #1}}
+\newcommand{\grid}{\pkg{grid}}
+\newcommand{\R}{{\sffamily R}}
+\setlength{\parindent}{0in}
+\setlength{\parskip}{.1in}
+\setlength{\textwidth}{140mm}
+\setlength{\oddsidemargin}{10mm}
+\title{Saving and Loading \grid{} Graphics}
+\author{Paul Murrell}
+
+\begin{document}
+\maketitle
+
+<<echo=FALSE, results=hide>>=
+library(grDevices)
+library(grid)
+ps.options(pointsize = 12)
+options(width = 60)
+@
+This is a general discussion concerning how you might go about
+creating (and reusing) persistent representations of \grid{}
+graphics, and some of the pitfalls in the various options.
+
+\subsection*{\R{} code}
+
+The way I usually work with graphics is to write \R{} code in a text file
+and copy-and-paste or \code{source()} it into R.  In this case,
+the persistent
+representation of the graphics is the raw \R{} code.
+
+The representation is fully editable.
+
+The representation is persistent across \R{} sessions, but may not be
+persistent across \R{} versions because the names, argument lists,
+and/or behaviour of the \grid{} functions may
+change.  The representation can be reloaded into R.
+Incompatibilities between versions should be handled gracefully by
+\R{}'s argument-matching, type-checking, and/or version-checking.
+
+\subsection*{\grid{} \code{grob}s}
+
+The next most flexible way of creating a persistent version of \grid{}
+graphics is to \code{save()} a \grid{} \code{grob} \ldots
+
+<<>>=
+gt <- textGrob("hi")
+save(gt, file = "mygridplot")
+@
+The representation is reloadable so you can reproduce an image \ldots{}
+
+<<results=hide>>=
+load("mygridplot")
+grid.draw(gt)
+@
+And the representation is editable;  there is an API for interacting
+with \grid{} \code{grobs}, including adding new elements, removing
+elements, editing features of a \code{grob} and so on.  See
+\code{getGrob()}, \code{addGrob()}, \code{removeGrob()},
+and \code{editGrob()}.
+
+The representation is persistent across \R{} sessions, but is
+vulnerable to changes in the internal representation of \grid{}
+\code{grob}s.  The advantage of this representation is that it is
+possible to share and edit graphics produced by someone else,
+without seeing the code they used to produce it.
+
+\subsection*{Device output}
+
+A third way of creating a persistent version of \grid{} graphics is to
+``save'' it to a persistent device format (e.g., PostScript, PDF, \ldots).
+
+It is possible to edit these representations, but hardly convenient.
+In particular, none of the coordinate systems used in the
+construction of plots (e.g., axis scales) are available for editing.
+
+The representation is persistent regardless of \R{} sessions or versions,
+but it cannot be reloaded into \R{}.
+
+\subsection*{Display lists}
+
+This final option is \emph{not} recommended, but it is possible to do
+so its downsides need to be explained.
+
+What you can do is ``save'' an \R{} display list using, for example, \ldots
+
+<<>>=
+grid.grill()
+temp <- recordPlot()
+save(temp, file = "mygridplot")
+@
+This representation is not editable\footnote{Well, there's nothing stopping
+you editing it, but you should take out life insurance first.}, but it can be
+reloaded
+and rerun to reproduce the output \ldots
+
+<<>>=
+load("mygridplot")
+temp
+@
+The representation is persistent across \R{} sessions, but the saved
+information involves non-public interfaces and structures which may
+change between \R{} versions.  You also have to make sure that \grid{}
+has been reloaded.  Differences between \grid{} and/or \R{} versions
+may lead to segmentation faults.
+\end{document}
+
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/grid/doc/displaylist.Rnw
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/grid/doc/displaylist.Rnw	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/grid/doc/displaylist.Rnw	(revision 3761)
@@ -0,0 +1,248 @@
+% File src/library/grid/vignettes/displaylist.Rnw
+% Part of the R package, https://www.R-project.org
+% Copyright 2001-13 Paul Murrell and the R Core Team
+% Distributed under GPL 2 or later
+
+\documentclass[a4paper]{article}
+
+\usepackage{Rd}
+
+% \VignetteIndexEntry{Display Lists in grid}
+% \VignettePackage{grid}
+% \VignetteDepends{graphics}
+% \VignetteDepends{gridBase}
+
+\newcommand{\grid}{\pkg{grid}}
+\newcommand{\gridBase}{\CRANpkg{gridBase}}
+\newcommand{\lattice}{\CRANpkg{lattice}}
+
+\setlength{\parindent}{0in}
+\setlength{\parskip}{.1in}
+\setlength{\textwidth}{140mm}
+\setlength{\oddsidemargin}{10mm}
+
+\title{Display Lists in \grid{}}
+\author{Paul Murrell}
+
+\begin{document}
+\maketitle
+
+<<echo=FALSE, results=hide>>=
+library(grDevices)
+library(graphics) # for plot()
+library(stats) # for runif()
+library(grid)
+ps.options(pointsize = 12)
+options(width = 60)
+@
+A display list is a record of drawing operations.  It is used
+to redraw graphics output when a graphics window is resized,
+when graphics output is copied from one device to another, and
+when graphics output is edited (via \code{grid.edit}).
+
+There are two display lists that can be used when working with
+\grid{}.  \R{}'s graphics engine maintains a display list and
+\grid{} maintains its own display list.  The former is maintained at
+the C code level and records both base graphics output and
+\grid{} graphics output.  The latter is maintained at the
+R code level and only records \grid{} output.
+
+In standard usage,
+the graphics engine's display list is used to redraw when a window
+is resized and when copying between devices.  \grid{}'s display list
+is used for redrawing when editing \grid{} output.
+
+There are two main problems with this standard usage:
+\begin{enumerate}
+\item The graphics engine display list only records graphics output;
+none of the calculations leading up to producing the output are
+recorded.  This particularly impacts on plots which perform calculations
+based on the physical dimensions of the device -- an example is
+the legend function which performs calculations in order to
+arrange the elements of the legend.  The effect can be seen from
+any example which uses the legend function.  Try running
+\code{example(legend)} then resize the device (make it quite
+tall and thin or quite wide and fat);  the legend will start
+to look pretty sick.
+
+{\bf NOTE:} that this is a problem with the graphics engine display
+list -- it is not specific to \grid{}.  In fact, much of \grid{}'s
+behaviour is protected from this problem because things like \grid{}
+units are ``declarative'' and will be re-evaluated on each redraw.
+However, there are situations where \grid{} output can be afflicted,
+in particular, whenever the \code{convertUnit()} function (or one of
+its variants) is used (the help file for \code{convertUnit()} gives an
+example).
+
+A situation where this problem becomes very relevant for
+\grid{} output is when the \gridBase{} package is used.
+This is a situation where lots of calculations are performed
+in order to align base and grid output, but these calculations
+are not recorded on the graphics engine display list, so
+if the device is resized the output will become very yukky.
+
+\item \grid{}'s display list does not record base graphics
+output\footnote{This is not quite true;  it is possible
+to include base graphics output on the \grid{} display list
+as we will see later.} so if both base and \grid{} output appear
+on the same device then the result of editing will not redraw the
+base output.  The following code provides a simple example:
+
+<<guts1, eval=FALSE>>=
+plot(1:10)
+par(new = TRUE)
+grid.rect(width = 0.5, height = 0.5, gp = gpar(lwd = 3), name = "gr")
+
+<<ex1, echo=FALSE, fig=TRUE, width=4, height=3, include=FALSE>>=
+<<guts1>>
+grid.rect(width = 0.99, height = 0.99, gp = gpar(lty = "dashed"))
+@
+\includegraphics[width=4in, height=3in]{displaylist-ex1}
+
+<<ex2, echo=FALSE, fig=TRUE, width=4, height=3, include=FALSE>>=
+grid.rect(width = 0.5, height = 0.5, gp = gpar(col = "red", lwd = 3))
+grid.rect(width = 0.99, height = 0.99, gp = gpar(lty = "dashed"))
+
+<<eval=FALSE>>=
+grid.edit("gr", gp = gpar(col = "red", lwd = 3))
+@
+\includegraphics[width=4in, height=3in]{displaylist-ex2}
+
+After the \code{grid.edit}, the rectangle has been redrawn, but the
+base plot has not.
+\end{enumerate}
+
+\section*{Saving calculations on the graphics engine display list\\
+and saving base graphics on the \grid{} display list}
+
+Both of the problems described in the previous section can be
+avoided by using a \code{drawDetails()} method in \grid{}.
+When a \grid{} grob is drawn, the \code{drawDetails} method
+for that grob is called;  if calculations are put within
+a \code{drawDetails} method, then the calculations will be
+performed every time the grob is drawn.
+
+This means that it is possible, for example, to use \code{convertUnit()}
+and have the result consistent across device resizes or
+copies\footnote{In
+each of the examples that follow, you should execute the example
+code, resize the device to see any inconsistency, then close the
+device before trying the next example.}.
+This next piece of code is an example where the output becomes
+inconsistent when the device is resized.  We specify a width for
+the rectangle in inches, but convert it (gratuitously) to
+NPC coordinates -- when the device is resized, the NPC coordinates
+will no longer correspond to 1''.
+
+<<results=hide>>=
+grid.rect(width = convertWidth(unit(1, "inches"), "npc"))
+@
+
+The next piece of code demonstrates that, if we
+place the calculations within a \code{drawDetails} method, then
+the output remains consistent across device resizes and
+copies.
+
+<<results=hide>>=
+drawDetails.myrect <- function(x, recording) {
+    gr <- rectGrob(width = convertWidth(unit(1, "inches"), "npc"))
+    grid.draw(gr)
+}
+grid.draw(grob(cl = "myrect"))
+@
+
+The next example shows that a \code{drawDetails()} method can also be
+used to save base graphics output on the \grid{} display list.  This
+example uses \gridBase{} to combine base and \grid{} graphics output.
+Here I replicate the last example from the \gridBase{} vignette -- a
+set of base pie charts within \grid{} viewports within a base plot.
+In this case, I can produce all of the grobs required in the normal
+manner -- their locations and sizes are not based on special
+calculations\footnote{The example is wrapped inside a check for
+  whether the \CRANpkg{gridBase} package is installed so that the code
+  will still ``run'' on systems without \CRANpkg{gridBase}.}.
+
+<<results=hide>>=
+x <- c(0.88, 1.00, 0.67, 0.34)
+y <- c(0.87, 0.43, 0.04, 0.94)
+z <- matrix(runif(4*2), ncol = 2)
+
+maxpiesize <- unit(1, "inches")
+totals <- apply(z, 1, sum)
+sizemult <- totals/max(totals)
+
+gs <- segmentsGrob(x0 = unit(c(rep(0, 4), x),
+                             rep(c("npc", "native"), each = 4)),
+                   x1 = unit(c(x, x), rep("native", 8)),
+                   y0 = unit(c(y, rep(0, 4)),
+                             rep(c("native", "npc"), each = 4)),
+                   y1 = unit(c(y, y), rep("native", 8)),
+                   gp = gpar(lty = "dashed", col = "grey"))
+gr <- rectGrob(gp = gpar(col = "grey", fill = "white", lty = "dashed"))
+@
+What is important is that I place the calls to the \gridBase{} functions
+within the  \code{drawDetails} method so that they are performed
+every time the grob is drawn {\em and} the calls to the base graphics
+functions are in here too so that they are called for every redraw.
+
+<<results=hide>>=
+drawDetails.pieplot <- function(x, recording) {
+    plot(x$x, x$y, xlim = c(-0.2, 1.2), ylim = c(-0.2, 1.2), type = "n")
+    vps <- baseViewports()
+    pushViewport(vps$inner, vps$figure, vps$plot, recording = FALSE)
+    grid.draw(x$gs, recording = FALSE)
+    for (i in 1:4) {
+        pushViewport(viewport(x = unit(x$x[i], "native"),
+                              y = unit(x$y[i], "native"),
+                              width = x$sizemult[i]*x$maxpiesize,
+                              height = x$sizemult[i]*x$maxpiesize),
+                     recording = FALSE)
+        grid.draw(x$gr, recording = FALSE)
+        par(plt = gridPLT(), new = TRUE)
+        pie(x$z[i, ], radius = 1, labels = rep("", 2))
+        popViewport(recording = FALSE)
+    }
+    popViewport(3, recording = FALSE)
+}
+@
+The ``pieplot'' is created by assembling the component grobs
+into a collective grob of the appropriate class; the \code{drawDetails}
+method takes care of actually producing the output.
+
+% produce figure, but don't include
+% (to avoid par setting contamination between code segments)
+
+<<results=hide, fig=TRUE, width=6, height=6, include=FALSE>>=
+if (suppressWarnings(require("gridBase", quietly = TRUE))) {
+grid.draw(grob(x = x, y = y, z = z,
+               maxpiesize = maxpiesize, sizemult = sizemult,
+               gs = gs, gr = gr, cl = "pieplot"))
+}
+@
+
+The output from this example can be resized safely; \grid{} handles
+all of the redrawing, and performs all of the actions within the
+\code{drawDetails} method for each redraw, including redrawing the
+base graphics output!
+
+As a final example, we will harness the \grid{} display list purely to
+achieve consistency in base graphics output.  The following reproduces
+the last example from the \code{legend()} help page, but produces
+output which can be resized without the legend going crazy.
+
+% produce figure, but don't include
+% (to avoid par setting contamination between code segments)
+
+<<results=hide, fig=TRUE, include=FALSE>>=
+drawDetails.mylegend <- function(x, recording) {
+    x <- 0:64/64
+    y <- sin(3*pi*x)
+    plot(x, y, type = "l", col = "blue",
+         main = "points with bg & legend(*, pt.bg)")
+    points(x, y, pch = 21, bg = "white")
+    legend(.4,1, "sin(c x)", pch = 21, pt.bg = "white", lty = 1, col = "blue")
+}
+grid.draw(grob(cl = "mylegend"))
+@
+\end{document}
+
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/grid/doc/saveload.pdf
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Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/grid/help/grid.rdb
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Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/grid/help/grid.rdx
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Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/grid/help/AnIndex
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/grid/help/AnIndex	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/grid/help/AnIndex	(revision 3761)
@@ -0,0 +1,266 @@
+grid-package	grid-package
+absolute.size	absolute.size
+addGrob	grid.add
+applyEdit	gEdit
+applyEdits	gEdit
+arcCurvature	grid.curve
+arrow	arrow
+arrowsGrob	grid-defunct
+as.mask	as.mask
+as.path	grid.stroke
+ascentDetails	widthDetails
+bezierGrob	grid.bezier
+bezierPoints	xsplinePoints
+calcStringMetric	calcStringMetric
+childNames	grid.grob
+circleGrob	grid.circle
+clipGrob	grid.clip
+convertHeight	grid.convert
+convertNative	grid-defunct
+convertUnit	grid.convert
+convertWidth	grid.convert
+convertX	grid.convert
+convertY	grid.convert
+current.parent	current.viewport
+current.rotation	current.viewport
+current.transform	current.viewport
+current.viewport	current.viewport
+current.vpPath	current.viewport
+current.vpTree	current.viewport
+curveGrob	grid.curve
+dataViewport	dataViewport
+defineGrob	grid.group
+defnRotate	viewportTransform
+defnScale	viewportTransform
+defnTranslate	viewportTransform
+delayGrob	grid.delay
+depth	depth
+depth.path	depth
+depth.viewport	depth
+descentDetails	widthDetails
+deviceDim	deviceLoc
+deviceLoc	deviceLoc
+downViewport	viewports
+draw.details	grid-defunct
+drawDetails	drawDetails
+editDetails	editDetails
+editGrob	grid.edit
+editViewport	editViewport
+emptyCoords	gridCoords
+emptyGrobCoords	gridCoords
+emptyGTreeCoords	gridCoords
+engine.display.list	grid.display.list
+explode	explode
+explode.character	explode
+explode.path	explode
+fillGrob	grid.stroke
+fillGrob.GridPath	grid.stroke
+fillGrob.grob	grid.stroke
+fillStrokeGrob	grid.stroke
+fillStrokeGrob.GridPath	grid.stroke
+fillStrokeGrob.grob	grid.stroke
+forceGrob	grid.force
+frameGrob	grid.frame
+functionGrob	grid.function
+gEdit	gEdit
+gEditList	gEdit
+get.gpar	gpar
+getGrob	grid.get
+getNames	getNames
+gList	grid.grob
+gpar	gpar
+gPath	gPath
+Grid	Grid
+grid-defunct	grid-defunct
+grid.abline	grid.function
+grid.add	grid.add
+grid.arrows	grid-defunct
+grid.bezier	grid.bezier
+grid.cap	grid.cap
+grid.circle	grid.circle
+grid.clip	grid.clip
+grid.collection	grid-defunct
+grid.convert	grid-defunct
+grid.convertHeight	grid-defunct
+grid.convertWidth	grid-defunct
+grid.convertX	grid-defunct
+grid.convertY	grid-defunct
+grid.copy	grid.copy
+grid.curve	grid.curve
+grid.define	grid.group
+grid.delay	grid.delay
+grid.display.list	grid.display.list
+grid.DLapply	grid.DLapply
+grid.draw	grid.draw
+grid.edit	grid.edit
+grid.fill	grid.stroke
+grid.fillStroke	grid.stroke
+grid.force	grid.force
+grid.force.default	grid.force
+grid.force.gPath	grid.force
+grid.force.grob	grid.force
+grid.frame	grid.frame
+grid.function	grid.function
+grid.gedit	grid.edit
+grid.get	grid.get
+grid.gget	grid.get
+grid.grab	grid.grab
+grid.grabExpr	grid.grab
+grid.gremove	grid.remove
+grid.grep	grid.grep
+grid.grill	grid.grill
+grid.grob	grid-defunct
+grid.group	grid.group
+grid.layout	grid.layout
+grid.legend	legendGrob
+grid.line.to	grid.move.to
+grid.lines	grid.lines
+grid.locator	grid.locator
+grid.ls	grid.ls
+grid.move.to	grid.move.to
+grid.multipanel	grid-internal
+grid.newpage	grid.newpage
+grid.null	grid.null
+grid.pack	grid.pack
+grid.panel	grid-internal
+grid.path	grid.path
+grid.place	grid.place
+grid.plot.and.legend	grid.plot.and.legend
+grid.points	grid.points
+grid.polygon	grid.polygon
+grid.polyline	grid.lines
+grid.pretty	grid.pretty
+grid.raster	grid.raster
+grid.record	grid.record
+grid.rect	grid.rect
+grid.refresh	grid.refresh
+grid.remove	grid.remove
+grid.reorder	grid.reorder
+grid.revert	grid.force
+grid.revert.gPath	grid.force
+grid.revert.grob	grid.force
+grid.roundrect	grid.roundrect
+grid.segments	grid.segments
+grid.set	grid.set
+grid.show.layout	grid.show.layout
+grid.show.viewport	grid.show.viewport
+grid.strip	grid-internal
+grid.stroke	grid.stroke
+grid.text	grid.text
+grid.use	grid.group
+grid.xaxis	grid.xaxis
+grid.xspline	grid.xspline
+grid.yaxis	grid.yaxis
+gridCoords	gridCoords
+gridGrobCoords	gridCoords
+gridGTreeCoords	gridCoords
+grob	grid.grob
+grobAscent	grobWidth
+grobCoords	grobCoords
+grobDescent	grobWidth
+grobHeight	grobWidth
+grobName	grobName
+grobPathListing	grid.ls
+grobPoints	grobCoords
+grobTree	grid.grob
+grobWidth	grobWidth
+grobX	grobX
+grobY	grobX
+groupFlip	viewportTransform
+groupGrob	grid.group
+groupRotate	viewportTransform
+groupScale	viewportTransform
+groupShear	viewportTransform
+groupTranslate	viewportTransform
+gTree	grid.grob
+heightDetails	widthDetails
+is.grob	grid.grob
+is.unit	grid-internal
+isEmptyCoords	gridCoords
+layout.heights	grid-internal
+layout.torture	grid-internal
+layout.widths	grid-internal
+layoutRegion	grid-internal
+legendGrob	legendGrob
+linearGradient	patterns
+linesGrob	grid.lines
+lineToGrob	grid.move.to
+makeContent	makeContent
+makeContext	makeContent
+moveToGrob	grid.move.to
+nestedListing	grid.ls
+nullGrob	grid.null
+packGrob	grid.pack
+pathGrob	grid.path
+pathListing	grid.ls
+pattern	patterns
+patterns	patterns
+placeGrob	grid.place
+plotViewport	plotViewport
+pointsGrob	grid.points
+polygonGrob	grid.polygon
+polylineGrob	grid.lines
+pop.viewport	grid-defunct
+popViewport	viewports
+postDrawDetails	drawDetails
+preDrawDetails	drawDetails
+push.viewport	grid-defunct
+pushViewport	viewports
+radialGradient	patterns
+rasterGrob	grid.raster
+recordGrob	grid.record
+rectGrob	grid.rect
+removeGrob	grid.remove
+reorderGrob	grid.reorder
+resolveHJust	valid.just
+resolveRasterSize	resolveRasterSize
+resolveVJust	valid.just
+roundrect	grid.roundrect
+roundrectGrob	grid.roundrect
+seekViewport	viewports
+segmentsGrob	grid.segments
+setChildren	grid.add
+setGrob	grid.set
+showGrob	showGrob
+showViewport	showViewport
+stringAscent	stringWidth
+stringDescent	stringWidth
+stringHeight	stringWidth
+stringWidth	stringWidth
+strokeGrob	grid.stroke
+strokeGrob.GridPath	grid.stroke
+strokeGrob.grob	grid.stroke
+textGrob	grid.text
+unit	unit
+unit.c	unit.c
+unit.length	unit.length
+unit.pmax	unit.pmin
+unit.pmin	unit.pmin
+unit.psum	unit.pmin
+unit.rep	unit.rep
+unitType	unitType
+upViewport	viewports
+useGrob	grid.group
+useRotate	viewportTransform
+useScale	viewportTransform
+useTranslate	viewportTransform
+valid.just	valid.just
+validDetails	validDetails
+viewport	viewport
+viewport.layout	grid-internal
+viewport.transform	grid-defunct
+viewportRotate	viewportTransform
+viewportScale	viewportTransform
+viewportTransform	viewportTransform
+viewportTranslate	viewportTransform
+vpList	viewport
+vpPath	vpPath
+vpStack	viewport
+vpTree	viewport
+widthDetails	widthDetails
+xaxisGrob	grid.xaxis
+xDetails	xDetails
+xsplineGrob	grid.xspline
+xsplinePoints	xsplinePoints
+yaxisGrob	grid.yaxis
+yDetails	xDetails
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/grid/help/paths.rds
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Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/bslib/lib/bsw5/README.md
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/bslib/lib/bsw5/README.md	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/bslib/lib/bsw5/README.md	(revision 3761)
@@ -0,0 +1,161 @@
+<p align="center">
+  <img width="200" height="200" src="https://bootswatch.com/_assets/img/logo-dark.svg">
+</p>
+
+<h3 align="center">Bootswatch</h3>
+
+<p align="center">
+  A collection of open source themes for <a href="https://getbootstrap.com/">Bootstrap</a>
+  <br>
+  <a href="https://bootswatch.com"><strong>View Bootswatch themes Â»</strong></a>
+  <br>
+  <br>
+  <a href="https://github.com/thomaspark/bootswatch/issues/new">Report bug</a>
+  Â·
+  <a href="https://github.com/thomaspark/bootswatch/issues/new">Request feature</a>
+  Â·
+  <a href="https://blog.bootswatch.com/">Blog</a>
+</p>
+
+## Usage
+
+There are a few different ways you can integrate Bootswatch into your project.
+
+### Via Pre-compiled Asset
+
+Download the `bootstrap.min.css` file associated with a theme and replace
+Bootstrap's default stylesheet. You must still include Bootstrap's JavaScript
+file to have functional dropdowns, modals, etc.
+
+### Via CDN
+
+You can use the themes via CDN at [jsDelivr](https://www.jsdelivr.com/package/npm/bootswatch).
+
+### Via Sass Imports
+
+If you're using [Sass](https://sass-lang.com/) (SCSS) in your project, you can
+import the `_variables.scss` and `_bootswatch.scss` files for a given theme.
+This method allows you to override theme variables.
+
+```scss
+// Your variable overrides go here, e.g.:
+// $h1-font-size: 3rem;
+
+@import "~bootswatch/dist/[theme]/variables";
+@import "~bootstrap/scss/bootstrap";
+@import "~bootswatch/dist/[theme]/bootswatch";
+```
+
+Make sure to import Bootstrap's `bootstrap.scss` in between `_variables.scss`
+and `_bootswatch.scss`!
+
+### Via npm
+
+You can install as a package with the command `npm install bootswatch`.
+
+#### React Users (`create-react-app`, or similar bundler)
+
+Modern JavaScript bundlers (webpack, parcel, rollup) support `import`ing CSS from JS files. This can make it easier to deploy various 1st and 3rd party assets predictably. Note: _There are tradeoffs to the following method, research your tooling before deploying to production._
+
+Before continuing, ensure you've run `npm install bootswatch` in your local project folder. (Use either `npm` or `yarn`.)
+
+Add the following `import` to your top-level `index.js` (or `App.js`) file. Add it **before** any other `.css` imports.
+
+```js
+import "bootswatch/dist/[theme]/bootstrap.min.css";
+// TODO: Note: Replace ^[theme]^ (examples: darkly, slate, cosmo, spacelab, and superhero. See https://bootswatch.com for current theme names.)
+```
+
+
+Here's an example of updated `imports` in `App.js` to use "slate" theme (using a `create-react-app` fresh project.)
+
+```js
+import React from 'react';
+import logo from './logo.svg';
+import 'bootswatch/dist/slate/bootstrap.min.css'; // Added this :boom:
+import './App.css';
+
+function App() {
+...
+```
+
+
+### Via Ruby Gem
+
+In your Ruby project, you can access the latest version of each theme by adding
+the following to your Gemfile and running `bundle install`:
+
+```ruby
+gem "bootswatch", github: "thomaspark/bootswatch"
+```
+
+Each theme directory is then accessible via the path
+`"#{Gem.loaded_specs["bootswatch"].load_paths.first}/[theme]"`.
+
+Ruby on Rails users can add the following to an initializer (e.g.
+`config/initializers/bootswatch.rb`):
+
+```ruby
+Rails.application.config.assets.paths += Gem.loaded_specs["bootswatch"].load_paths
+```
+
+And thus be able to import themes via Sass like so:
+
+```scss
+@import "[theme]/variables";
+@import "~bootstrap/scss/bootstrap";
+@import "[theme]/bootswatch";
+```
+
+### Via API
+
+A simple JSON API is available for integrating your platform with Bootswatch.
+More info can be found on the [Help page](https://bootswatch.com/help/#api).
+
+
+## Customization
+
+Bootswatch is open source and youâ€™re welcome to modify the themes.
+
+Each theme consists of two SASS files. `_variables.scss`, which is included by default in Bootstrap, allows you to customize the settings. `_bootswatch.scss` introduces more extensive structural changes.
+
+Check out the [Help page](https://bootswatch.com/help/#customization) for more details on building your own theme.
+
+
+## Contributing
+
+It's through your contributions that Bootswatch will continue to improve. You can contribute in several ways.
+
+**Issues:** Provide a detailed report of any bugs you encounter and open an issue on [GitHub](https://github.com/thomaspark/bootswatch/issues).
+
+**Documentation:** If you'd like to fix a typo or beef up the docs, you can fork the project, make your changes, and submit a pull request.
+
+**Code:** Make a fix and submit it as a pull request. When making changes, it's important to keep the CSS and SASS versions in sync. To do this, be sure to edit the SASS source files for the particular theme first, then run the  tasks `grunt swatch` to build the CSS.
+
+**Donation:** Donations are gratefully accepted via [GitHub](https://github.com/sponsors/thomaspark) and [PayPal](https://www.paypal.com/cgi-bin/webscr?cmd=_s-xclick&hosted_button_id=PU2DH4BMF9MWS&source=url).
+
+
+## Author
+
+Thomas Park
+
+* <https://github.com/thomaspark>
+* <https://thomaspark.co/>
+
+
+## Thanks
+
+[Mark Otto](https://github.com/mdo) and [Jacob Thornton](https://github.com/fat) for [Bootstrap](https://github.com/twbs/bootstrap).
+
+[Jenil Gogari](https://jgog.in/) for his contributions to the Flatly theme.
+
+[James Taylor](https://github.com/jostylr) for [cors-lite](https://github.com/jostylr/cors-lite).
+
+[Corey Sewell](https://github.com/cjsewell) for SASS conversion.
+
+
+## Copyright and License
+
+Copyright 2014-2021 Thomas Park
+
+Code released under the MIT License.
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/bslib/lib/bsw5/LICENSE
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/bslib/lib/bsw5/LICENSE	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/bslib/lib/bsw5/LICENSE	(revision 3761)
@@ -0,0 +1,21 @@
+The MIT License (MIT)
+
+Copyright (c) 2013 Thomas Park
+
+Permission is hereby granted, free of charge, to any person obtaining a copy
+of this software and associated documentation files (the "Software"), to deal
+in the Software without restriction, including without limitation the rights
+to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
+copies of the Software, and to permit persons to whom the Software is
+furnished to do so, subject to the following conditions:
+
+The above copyright notice and this permission notice shall be included in
+all copies or substantial portions of the Software.
+
+THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN
+THE SOFTWARE.
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/bslib/lib/bsw5/package.json
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/bslib/lib/bsw5/package.json	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/bslib/lib/bsw5/package.json	(revision 3761)
@@ -0,0 +1,24 @@
+{
+  "name": "bootswatch",
+  "description": "Bootswatch is a collection of themes for Bootstrap.",
+  "version": "5.2.2",
+  "author": "Thomas Park",
+  "homepage": "https://bootswatch.com",
+  "license": "MIT",
+  "repository": {
+    "type": "git",
+    "url": "git+https://github.com/thomaspark/bootswatch.git"
+  },
+  "bugs": {
+    "url": "https://github.com/thomaspark/bootswatch/issues"
+  },
+  "scripts": {
+    "build": "grunt swatch",
+    "docs": "grunt docs",
+    "htmllint": "grunt htmllint",
+    "stylelint": "stylelint \"dist/**/*.scss\" --rd",
+    "release": "grunt release",
+    "test": "npm run stylelint"
+  },
+  "files": "dist/**/*.{css,scss}"
+}
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/bslib/lib/bs3/LICENSE
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/bslib/lib/bs3/LICENSE	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/bslib/lib/bs3/LICENSE	(revision 3761)
@@ -0,0 +1,22 @@
+The MIT License (MIT)
+
+Copyright (c) 2011-2016 Twitter, Inc
+Copyright (c) 2011-2016 The Bootstrap Authors
+
+Permission is hereby granted, free of charge, to any person obtaining a copy
+of this software and associated documentation files (the "Software"), to deal
+in the Software without restriction, including without limitation the rights
+to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
+copies of the Software, and to permit persons to whom the Software is
+furnished to do so, subject to the following conditions:
+
+The above copyright notice and this permission notice shall be included in
+all copies or substantial portions of the Software.
+
+THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN
+THE SOFTWARE.
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/bslib/lib/bs3/package.json
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/bslib/lib/bs3/package.json	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/bslib/lib/bs3/package.json	(revision 3761)
@@ -0,0 +1,23 @@
+{
+  "name": "bootstrap-sass",
+  "version": "3.4.1",
+  "description": "bootstrap-sass is a Sass-powered version of Bootstrap 3, ready to drop right into your Sass powered applications.",
+  "main": "assets/javascripts/bootstrap.js",
+  "style": "assets/stylesheets/_bootstrap.scss",
+  "sass": "assets/stylesheets/_bootstrap.scss",
+  "files": ["assets", "eyeglass-exports.js", "CHANGELOG.md", "LICENSE", "README.md"],
+  "repository": {
+    "type": "git",
+    "url": "git://github.com/twbs/bootstrap-sass"
+  },
+  "keywords": ["bootstrap", "sass", "css", "eyeglass-module"],
+  "contributors": ["Thomas McDonald", "Tristan Harward", "Peter Gumeson", "Gleb Mazovetskiy"],
+  "license": "MIT",
+  "bugs": {
+    "url": "https://github.com/twbs/bootstrap-sass/issues"
+  },
+  "eyeglass": {
+    "exports": "eyeglass-exports.js",
+    "needs": "^0.7.1"
+  }
+}
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/bslib/lib/bs3/CHANGELOG.md
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/bslib/lib/bs3/CHANGELOG.md	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/bslib/lib/bs3/CHANGELOG.md	(revision 3761)
@@ -0,0 +1,215 @@
+# Changelog
+
+## 3.4.0
+
+* Bootstrap rubygem now depends on SassC instead of Sass.
+* Compass no longer supported.
+
+## 3.3.7
+
+* Allows jQuery 3.x in bower.json. [#1048](https://github.com/twbs/bootstrap-sass/issues/1048)
+* Adds the `style` and `sass` fields to package.json. [#1045](https://github.com/twbs/bootstrap-sass/issues/1045)
+* Adds Eyeglass support. [#1007](https://github.com/twbs/bootstrap-sass/pull/1007)
+
+## 3.3.6
+
+* Bumps Sass dependency to 3.3.4+ to avoid compatibility issues with @at-root.
+* Bumps node-sass dependency to ~3.4.2 for Node.js v5 compatibility. [#986](https://github.com/twbs/bootstrap-sass/issues/986)
+* Fixes breadcrumb content issues on libsass. [#919](https://github.com/twbs/bootstrap-sass/issues/919)
+* Fixes a Rails 5 compatibility issue. [#965](https://github.com/twbs/bootstrap-sass/pull/965)
+
+Framework version: Bootstrap **v3.3.6**
+
+## 3.3.5
+
+Fix for standalone Compass extension compatibility. [#914](https://github.com/twbs/bootstrap-sass/issues/914)
+
+Framework version: Bootstrap **v3.3.5**
+
+## 3.3.4
+
+No Sass-specific changes.
+
+Framework version: Bootstrap **v3.3.4**
+
+## 3.3.3
+
+This is a re-packaged release of 3.3.2.1 (v3.3.2+1).
+
+Versions are now strictly semver.
+The PATCH version may be ahead of the upstream.
+
+Framework version: Bootstrap **v3.3.2**.
+
+## 3.3.2.1
+
+* Fix glyphicons regression (revert 443d5b49eac84aec1cb2f8ea173554327bfc8c14)
+
+## 3.3.2.0
+
+* Autoprefixer is now required, and `autoprefixer-rails` is now a dependency for the ruby gem. [#824](https://github.com/twbs/bootstrap-sass/issues/824)
+* Minimum precision reduced from 10 to 8 [#821](https://github.com/twbs/bootstrap-sass/issues/821)
+* Requiring bootstrap JS from npm now works [#812](https://github.com/twbs/bootstrap-sass/issues/812)
+* Fix Sass 3.4.x + IE10 compatibility issue [#803](https://github.com/twbs/bootstrap-sass/issues/803)
+* Provide minified JS bundle [#777](https://github.com/twbs/bootstrap-sass/issues/777)
+* Bower package is now at bootstrap-sass [#813](https://github.com/twbs/bootstrap-sass/issues/813)
+
+
+## 3.3.1.0
+
+* Variables override template at templates/project/_bootstrap-variables.sass
+* Readme: Bower + Rails configuration
+
+## 3.3.0.1
+
+* Fix loading issue with the ruby gem version
+
+## 3.3.0
+
+* Improve libsass compatibility
+* Support using Bower package with Rails
+
+## 3.2.0.2
+
+Main bootstrap file is now a partial (_bootstrap.scss), for compatibility with Compass 1+.
+
+Fixed a number of bugs. [Issues closed in v3.2.0.2](https://github.com/twbs/bootstrap-sass/issues?q=is%3Aissue+is%3Aclosed+milestone%3Av3.2.0.2).
+
+## 3.2.0.1
+
+Fixed a number of bugs: [Issues closed in v3.2.0.1](https://github.com/twbs/bootstrap-sass/issues?q=is%3Aissue+is%3Aclosed+milestone%3Av3.2.0.1).
+
+## 3.2.0.0
+
+- Assets (Sass, JS, fonts) moved from `vendor/assets` to `assets`. `bootstrap.js` now contains concatenated JS.
+- Compass generator now copies JS and fonts, and provides a better default `styles.sass`.
+- Compass, Sprockets, and Mincer asset path helpers are now provided in pure Sass: `bootstrap-compass`, `bootstrap-sprockets`, and `bootstrap-mincer`.
+Asset path helpers must be imported before `bootstrap`, more in Readme.
+- Sprockets / Mincer JS manifest has been moved to `bootstrap-sprockets.js`.
+It can be required without adding Bootstrap JS directory to load path, as it now uses relative paths.
+- Sprockets: `depend_on_asset` (`glyphicons.scss`) has been changed to `depend_on` to work around an issue with `depend_on_asset`.
+[More information](https://github.com/twbs/bootstrap-sass/issues/592#issuecomment-46570286).
+
+## 3.1.1.0
+
+- Updated Bower docs
+
+## 3.1.0.2
+
+- #523: Rails 3.2 compatibility
+- Bugfixes from upstream up to 7eb532262fbd1112215b5a547b9285794b5360ab.
+
+## 3.1.0.1
+
+- #518: `scale` mixin Sass compatibility issue
+
+## 3.1.0.0
+
+* compiles with libsass master
+
+## 3.0.2.1
+
+* fix vendor paths for compass
+
+## 3.0.0.0
+
+* Fully automated (lots of string juggling) LESS -> Sass conversion. - *Gleb Mazovetskiy*
+* Ported rake task from vwall/compass-twitter-bootstrap to convert Bootstrap upstream - *Peter Gumeson*
+* Moved javascripts to us `bootstrap-component.js` to `bootstrap/component.js` - *Peter Gumeson*
+
+## 2.3.2.2
+
+* Allow sass-rails `>= 3.2` - *Thomas McDonald*
+
+## 2.3.2.1
+
+## 2.3.2.0
+
+* Update to Bootstrap 2.3.2 - *Dan Allen*
+
+## 2.3.1.3
+
+* Find the correct Sprockets context for the `image_path` function - *Tristan Harward, Gleb Mazovetskiy*
+
+## 2.3.1.2
+
+* Fix changes to image url - *Gleb Mazovetskiy*
+* Copy _variables into project on Compass install - *Phil Thompson*
+* Add `bootstrap-affix` to the Compass template file - *brief*
+
+## 2.3.1.1 (yanked)
+
+* Change how image_url is handled internally - *Tristan Harward*
+* Fix some font variables not having `!default` - *Thomas McDonald*
+
+## 2.3.0.0
+* [#290] Update to Bootstrap 2.3.0 - *Tristan Harward*
+* Fix `rake:debug` with new file locations - *Thomas McDonald*
+* Add draft contributing document - *Thomas McDonald*
+* [#260] Add our load path to the global Sass load path - *Tristan Harward*
+* [#275] Use GitHub notation in Sass head testing gemfile - *Timo Schilling*
+* [#279, #283] Readme improvements - *theverything, Philip Arndt*
+
+## 2.2.2.0
+* [#270] Update to Bootstrap 2.2.2 - *Tristan Harward*
+* [#266] Add license to gemspec - *Peter Marsh*
+
+## 2.2.1.1
+* [#258] Use `bootstrap` prefix for `@import`ing files in `bootstrap/bootstrap.scss` - *Umair Siddique*
+
+## 2.2.1.0
+* [#246] Update to Bootstrap 2.2.1 - *Tristan Harward*
+* [#246] Pull Bootstrap updates from jlong/sass-twitter-bootstrap - *Tristan Harward*
+
+## 2.1.1.0
+* Update to Bootstrap 2.1.1
+* [#222] Remove 100% multiplier in vertical-three-colours
+* [#227] Fix IE component animation collapse
+* [#228] Fix variables documentation link
+* [#231] Made .input-block-level a class as well as mixin
+
+## 2.1.0.1
+* [#219] Fix expected a color. Got: transparent.
+* [#207] Add missing warning style for table row highlighting
+* [#208] Use grid-input-span for input spans
+
+## 2.1.0.0
+* Updated to Bootstrap 2.1
+* Changed some mixin names to be more consistent. Nested mixins in Less are separated by a `-` when they are flattened in Sass.
+
+## 2.0.4.1
+* Fix `.row-fluid > spanX` nesting
+* Small Javascript fixes for those staying on the 2.0.4 release
+* Add `!default` to z-index variables.
+
+## 2.0.4.0
+* Updated to Bootstrap 2.0.4
+* Switched to Bootstrap 2.0.3+'s method of separating responsive files
+* [#149, #150] Fix off by one error introduced with manual revert of media query breakpoints
+* `rake debug` and `rake test` both compile bootstrap & bootstrap-responsive
+
+## 2.0.3.1
+* [#145, #146] Fix button alignment in collapsing navbar as a result of an incorrect variable
+
+## 2.0.3
+* Updated to Bootstrap 2.0.3
+* [#106] Support for Rails < 3.1 through Compass
+* [#132] Add CI testing
+* [#106] Support Rails w/Compass
+* [#134] Fix support for Rails w/Compass
+
+## 2.0.2
+* [#86] Updated to Bootstrap 2.0.2
+Things of note: static navbars now have full width. (to be fixed in 2.0.3) `.navbar-inner > .container { width:940px; }` seems to work in the meanwhile
+* [#62] Fixed asset compilation taking a *very* long time.
+* [#69, #79, #80] \(Hopefully) clarified README. Now with less cat humour.
+* [#91] Removed doubled up Sass extensions for Rails.
+* [#63, #73] Allow for overriding of image-path
+* [[SO](http://stackoverflow.com/a/9909626/241212)] Added makeFluidColumn mixin for defining fluid columns. Fluid rows must use `@extend .row-fluid`, and any column inside it can use `@include makeFluidColumn(num)`, where `num` is the number of columns. Unfortunately, there is a rather major limitation to this: margins on first-child elements must be overriden. See the attached Stack Overflow answer for more information.
+
+## 2.0.1
+* Updated to Bootstrap 2.0.1
+* Modified `@mixin opacity()` to take an argument `0...1` rather than `0...100` to be consistent with Compass.
+
+## 2.0.0
+* Updated to Bootstrap 2.0.0
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/bslib/lib/bs3/eyeglass-exports.js
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/bslib/lib/bs3/eyeglass-exports.js	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/bslib/lib/bs3/eyeglass-exports.js	(revision 3761)
@@ -0,0 +1,7 @@
+var path = require('path');
+
+module.exports = function(eyeglass, sass) {
+  return {
+    sassDir: path.join(__dirname, 'assets/stylesheets')
+  }
+};
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/bslib/lib/bs3/README.md
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/bslib/lib/bs3/README.md	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/bslib/lib/bs3/README.md	(revision 3761)
@@ -0,0 +1,358 @@
+# Bootstrap 3 for Sass
+[![Gem Version](https://badge.fury.io/rb/bootstrap-sass.svg)](http://badge.fury.io/rb/bootstrap-sass)
+[![npm version](https://img.shields.io/npm/v/bootstrap-sass.svg?style=flat)](https://www.npmjs.com/package/bootstrap-sass)
+[![Bower Version](https://badge.fury.io/bo/bootstrap-sass.svg)](http://badge.fury.io/bo/bootstrap-sass)
+[![Build Status](https://img.shields.io/travis/twbs/bootstrap-sass.svg)](https://travis-ci.org/twbs/bootstrap-sass)
+
+`bootstrap-sass` is a Sass-powered version of [Bootstrap](https://github.com/twbs/bootstrap) 3, ready to drop right into your Sass powered applications.
+
+This is Bootstrap **3**. For Bootstrap **4** use the [Bootstrap rubygem](https://github.com/twbs/bootstrap-rubygem) if you use Ruby, and the [main repo](https://github.com/twbs/bootstrap) otherwise.
+
+## Installation
+
+Please see the appropriate guide for your environment of choice:
+
+* [Ruby on Rails](#a-ruby-on-rails).
+* [Bower](#b-bower).
+* [npm / Node.js](#c-npm--nodejs).
+
+### a. Ruby on Rails
+
+`bootstrap-sass` is easy to drop into Rails with the asset pipeline.
+
+In your Gemfile you need to add the `bootstrap-sass` gem, and ensure that the `sass-rails` gem is present - it is added to new Rails applications by default.
+
+```ruby
+gem 'bootstrap-sass', '~> 3.4.1'
+gem 'sassc-rails', '>= 2.1.0'
+```
+
+`bundle install` and restart your server to make the files available through the pipeline.
+
+Import Bootstrap styles in `app/assets/stylesheets/application.scss`:
+
+```scss
+// "bootstrap-sprockets" must be imported before "bootstrap" and "bootstrap/variables"
+@import "bootstrap-sprockets";
+@import "bootstrap";
+```
+
+`bootstrap-sprockets` must be imported before `bootstrap` for the icon fonts to work.
+
+Make sure the file has `.scss` extension (or `.sass` for Sass syntax). If you have just generated a new Rails app,
+it may come with a `.css` file instead. If this file exists, it will be served instead of Sass, so rename it:
+
+```console
+$ mv app/assets/stylesheets/application.css app/assets/stylesheets/application.scss
+```
+
+Then, remove all the `*= require_self` and `*= require_tree .` statements from the sass file. Instead, use `@import` to import Sass files.
+
+Do not use `*= require` in Sass or your other stylesheets will not be [able to access][antirequire] the Bootstrap mixins or variables.
+
+Bootstrap JavaScript depends on jQuery.
+If you're using Rails 5.1+, add the `jquery-rails` gem to your Gemfile:
+
+```ruby
+gem 'jquery-rails'
+```
+
+```console
+$ bundle install
+```
+
+Require Bootstrap Javascripts in `app/assets/javascripts/application.js`:
+
+```js
+//= require jquery
+//= require bootstrap-sprockets
+```
+
+`bootstrap-sprockets` and `bootstrap` [should not both be included](https://github.com/twbs/bootstrap-sass/issues/829#issuecomment-75153827) in `application.js`.
+
+`bootstrap-sprockets` provides individual Bootstrap Javascript files (`alert.js` or `dropdown.js`, for example), while
+`bootstrap` provides a concatenated file containing all Bootstrap Javascripts.
+
+#### Bower with Rails
+
+When using [bootstrap-sass Bower package](#c-bower) instead of the gem in Rails, configure assets in `config/application.rb`:
+
+```ruby
+# Bower asset paths
+root.join('vendor', 'assets', 'bower_components').to_s.tap do |bower_path|
+  config.sass.load_paths << bower_path
+  config.assets.paths << bower_path
+end
+# Precompile Bootstrap fonts
+config.assets.precompile << %r(bootstrap-sass/assets/fonts/bootstrap/[\w-]+\.(?:eot|svg|ttf|woff2?)$)
+# Minimum Sass number precision required by bootstrap-sass
+::Sass::Script::Value::Number.precision = [8, ::Sass::Script::Value::Number.precision].max
+```
+
+Replace Bootstrap `@import` statements in `application.scss` with:
+
+```scss
+$icon-font-path: "bootstrap-sass/assets/fonts/bootstrap/";
+@import "bootstrap-sass/assets/stylesheets/bootstrap-sprockets";
+@import "bootstrap-sass/assets/stylesheets/bootstrap";
+```
+
+Replace Bootstrap `require` directive in `application.js` with:
+
+```js
+//= require bootstrap-sass/assets/javascripts/bootstrap-sprockets
+```
+
+#### Rails 4.x
+
+Please make sure `sprockets-rails` is at least v2.1.4.
+
+#### Rails 3.2.x
+
+bootstrap-sass is no longer compatible with Rails 3. The latest version of bootstrap-sass compatible with Rails 3.2 is v3.1.1.0.
+
+### b. Bower
+
+bootstrap-sass Bower package is compatible with node-sass 3.2.0+. You can install it with:
+
+```console
+$ bower install bootstrap-sass
+```
+
+Sass, JS, and all other assets are located at [assets](/assets).
+
+By default, `bower.json` main field list only the main `_bootstrap.scss` and all the static assets (fonts and JS).
+This is compatible by default with asset managers such as [wiredep](https://github.com/taptapship/wiredep).
+
+#### Node.js Mincer
+
+If you use [mincer][mincer] with node-sass, import Bootstrap like so:
+
+In `application.css.ejs.scss` (NB **.css.ejs.scss**):
+
+```scss
+// Import mincer asset paths helper integration
+@import "bootstrap-mincer";
+@import "bootstrap";
+```
+
+In `application.js`:
+
+```js
+//= require bootstrap-sprockets
+```
+
+See also this [example manifest.js](/test/dummy_node_mincer/manifest.js) for mincer.
+
+### c. npm / Node.js
+```console
+$ npm install bootstrap-sass
+```
+
+
+## Configuration
+
+### Sass
+
+By default all of Bootstrap is imported.
+
+You can also import components explicitly. To start with a full list of modules copy
+[`_bootstrap.scss`](assets/stylesheets/_bootstrap.scss) file into your assets as `_bootstrap-custom.scss`.
+Then comment out components you do not want from `_bootstrap-custom`.
+In the application Sass file, replace `@import 'bootstrap'` with:
+
+```scss
+@import 'bootstrap-custom';
+```
+
+### Sass: Number Precision
+
+bootstrap-sass [requires](https://github.com/twbs/bootstrap-sass/issues/409) minimum [Sass number precision][sass-precision] of 8 (default is 5).
+
+Precision is set for Ruby automatically when using the `sassc-rails` gem.
+When using the npm or Bower version with Ruby, you can set it with:
+
+```ruby
+::Sass::Script::Value::Number.precision = [8, ::Sass::Script::Value::Number.precision].max
+```
+
+### Sass: Autoprefixer
+
+Bootstrap requires the use of [Autoprefixer][autoprefixer].
+[Autoprefixer][autoprefixer] adds vendor prefixes to CSS rules using values from [Can I Use](https://caniuse.com/).
+
+To match [upstream Bootstrap's level of browser compatibility](https://getbootstrap.com/getting-started/#support), set Autoprefixer's `browsers` option to:
+```json
+[
+  "Android 2.3",
+  "Android >= 4",
+  "Chrome >= 20",
+  "Firefox >= 24",
+  "Explorer >= 8",
+  "iOS >= 6",
+  "Opera >= 12",
+  "Safari >= 6"
+]
+```
+
+### JavaScript
+
+[`assets/javascripts/bootstrap.js`](/assets/javascripts/bootstrap.js) contains all of Bootstrap's JavaScript,
+concatenated in the [correct order](/assets/javascripts/bootstrap-sprockets.js).
+
+
+#### JavaScript with Sprockets or Mincer
+
+If you use Sprockets or Mincer, you can require `bootstrap-sprockets` instead to load the individual modules:
+
+```js
+// Load all Bootstrap JavaScript
+//= require bootstrap-sprockets
+```
+
+You can also load individual modules, provided you also require any dependencies.
+You can check dependencies in the [Bootstrap JS documentation][jsdocs].
+
+```js
+//= require bootstrap/scrollspy
+//= require bootstrap/modal
+//= require bootstrap/dropdown
+```
+
+### Fonts
+
+The fonts are referenced as:
+
+```scss
+"#{$icon-font-path}#{$icon-font-name}.eot"
+```
+
+`$icon-font-path` defaults to `bootstrap/` if asset path helpers are used, and `../fonts/bootstrap/` otherwise.
+
+When using bootstrap-sass with Compass, Sprockets, or Mincer, you **must** import the relevant path helpers before Bootstrap itself, for example:
+
+```scss
+@import "bootstrap-compass";
+@import "bootstrap";
+```
+
+## Usage
+
+### Sass
+
+Import Bootstrap into a Sass file (for example, `application.scss`) to get all of Bootstrap's styles, mixins and variables!
+
+```scss
+@import "bootstrap";
+```
+
+You can also include optional Bootstrap theme:
+
+```scss
+@import "bootstrap/theme";
+```
+
+The full list of Bootstrap variables can be found [here](https://getbootstrap.com/customize/#less-variables). You can override these by simply redefining the variable before the `@import` directive, e.g.:
+
+```scss
+$navbar-default-bg: #312312;
+$light-orange: #ff8c00;
+$navbar-default-color: $light-orange;
+
+@import "bootstrap";
+```
+
+### Eyeglass
+
+Bootstrap is available as an [Eyeglass](https://github.com/sass-eyeglass/eyeglass) module. After installing Bootstrap via NPM you can import the Bootstrap library via:
+
+```scss
+@import "bootstrap-sass/bootstrap"
+```
+
+or import only the parts of Bootstrap you need:
+
+```scss
+@import "bootstrap-sass/bootstrap/variables";
+@import "bootstrap-sass/bootstrap/mixins";
+@import "bootstrap-sass/bootstrap/carousel";
+```
+
+## Version
+
+Bootstrap for Sass version may differ from the upstream version in the last number, known as
+[PATCH](https://semver.org/spec/v2.0.0.html). The patch version may be ahead of the corresponding upstream minor.
+This happens when we need to release Sass-specific changes.
+
+Before v3.3.2, Bootstrap for Sass version used to reflect the upstream version, with an additional number for
+Sass-specific changes. This was changed due to Bower and npm compatibility issues.
+
+The upstream versions vs the Bootstrap for Sass versions are:
+
+| Upstream |    Sass |
+|---------:|--------:|
+|    3.3.4+ |   same |
+|    3.3.2 |   3.3.3 |
+| <= 3.3.1 | 3.3.1.x |
+
+Always refer to [CHANGELOG.md](/CHANGELOG.md) when upgrading.
+
+---
+
+## Development and Contributing
+
+If you'd like to help with the development of bootstrap-sass itself, read this section.
+
+### Upstream Converter
+
+Keeping bootstrap-sass in sync with upstream changes from Bootstrap used to be an error prone and time consuming manual process. With Bootstrap 3 we have introduced a converter that automates this.
+
+**Note: if you're just looking to *use* Bootstrap 3, see the [installation](#installation) section above.**
+
+Upstream changes to the Bootstrap project can now be pulled in using the `convert` rake task.
+
+Here's an example run that would pull down the master branch from the main [twbs/bootstrap](https://github.com/twbs/bootstrap) repo:
+
+    rake convert
+
+This will convert the latest LESS to Sass and update to the latest JS.
+To convert a specific branch or version, pass the branch name or the commit hash as the first task argument:
+
+    rake convert[e8a1df5f060bf7e6631554648e0abde150aedbe4]
+
+The latest converter script is located [here][converter] and does the following:
+
+* Converts upstream Bootstrap LESS files to its matching SCSS file.
+* Copies all upstream JavaScript into `assets/javascripts/bootstrap`, a Sprockets manifest at `assets/javascripts/bootstrap-sprockets.js`, and a concatenation at `assets/javascripts/bootstrap.js`.
+* Copies all upstream font files into `assets/fonts/bootstrap`.
+* Sets `Bootstrap::BOOTSTRAP_SHA` in [version.rb][version] to the branch sha.
+
+This converter fully converts original LESS to SCSS. Conversion is automatic but requires instructions for certain transformations (see converter output).
+Please submit GitHub issues tagged with `conversion`.
+
+## Credits
+
+bootstrap-sass has a number of major contributors:
+
+<!-- feel free to make these link wherever you wish -->
+* [Thomas McDonald](https://twitter.com/thomasmcdonald_)
+* [Tristan Harward](http://www.trisweb.com)
+* Peter Gumeson
+* [Gleb Mazovetskiy](https://github.com/glebm)
+
+and a [significant number of other contributors][contrib].
+
+## You're in good company
+bootstrap-sass is used to build some awesome projects all over the web, including
+[Diaspora](https://diasporafoundation.org/), [rails_admin](https://github.com/sferik/rails_admin),
+Michael Hartl's [Rails Tutorial](https://www.railstutorial.org/), [gitlabhq](http://gitlabhq.com/) and
+[kandan](http://getkandan.com/).
+
+[converter]: https://github.com/twbs/bootstrap-sass/blob/master/tasks/converter/less_conversion.rb
+[version]: https://github.com/twbs/bootstrap-sass/blob/master/lib/bootstrap-sass/version.rb
+[contrib]: https://github.com/twbs/bootstrap-sass/graphs/contributors
+[antirequire]: https://github.com/twbs/bootstrap-sass/issues/79#issuecomment-4428595
+[jsdocs]: https://getbootstrap.com/javascript/#transitions
+[sass-precision]: http://sass-lang.com/documentation/Sass/Script/Value/Number.html#precision%3D-class_method
+[mincer]: https://github.com/nodeca/mincer
+[autoprefixer]: https://github.com/postcss/autoprefixer
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/bslib/lib/bs4/scss/utilities/_text.scss
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/bslib/lib/bs4/scss/utilities/_text.scss	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/bslib/lib/bs4/scss/utilities/_text.scss	(revision 3761)
@@ -0,0 +1,72 @@
+// stylelint-disable declaration-no-important
+
+//
+// Text
+//
+
+.text-monospace { font-family: $font-family-monospace !important; }
+
+// Alignment
+
+.text-justify  { text-align: justify !important; }
+.text-wrap     { white-space: normal !important; }
+.text-nowrap   { white-space: nowrap !important; }
+.text-truncate { @include text-truncate(); }
+
+// Responsive alignment
+
+@each $breakpoint in map-keys($grid-breakpoints) {
+  @include media-breakpoint-up($breakpoint) {
+    $infix: breakpoint-infix($breakpoint, $grid-breakpoints);
+
+    .text#{$infix}-left   { text-align: left !important; }
+    .text#{$infix}-right  { text-align: right !important; }
+    .text#{$infix}-center { text-align: center !important; }
+  }
+}
+
+// Transformation
+
+.text-lowercase  { text-transform: lowercase !important; }
+.text-uppercase  { text-transform: uppercase !important; }
+.text-capitalize { text-transform: capitalize !important; }
+
+// Weight and italics
+
+.font-weight-light   { font-weight: $font-weight-light !important; }
+.font-weight-lighter { font-weight: $font-weight-lighter !important; }
+.font-weight-normal  { font-weight: $font-weight-normal !important; }
+.font-weight-bold    { font-weight: $font-weight-bold !important; }
+.font-weight-bolder  { font-weight: $font-weight-bolder !important; }
+.font-italic         { font-style: italic !important; }
+
+// Contextual colors
+
+.text-white { color: $white !important; }
+
+@each $color, $value in $theme-colors {
+  @include text-emphasis-variant(".text-#{$color}", $value, true);
+}
+
+.text-body { color: $body-color !important; }
+.text-muted { color: $text-muted !important; }
+
+.text-black-50 { color: rgba($black, .5) !important; }
+.text-white-50 { color: rgba($white, .5) !important; }
+
+// Misc
+
+.text-hide {
+  @include text-hide($ignore-warning: true);
+}
+
+.text-decoration-none { text-decoration: none !important; }
+
+.text-break {
+  word-break: break-word !important; // Deprecated, but avoids issues with flex containers
+  word-wrap: break-word !important; // Used instead of `overflow-wrap` for IE & Edge Legacy
+}
+
+// Reset
+
+.text-reset { color: inherit !important; }
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/bslib/lib/bs4/scss/utilities/_spacing.scss
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/bslib/lib/bs4/scss/utilities/_spacing.scss	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/bslib/lib/bs4/scss/utilities/_spacing.scss	(revision 3761)
@@ -0,0 +1,73 @@
+// stylelint-disable declaration-no-important
+
+// Margin and Padding
+
+@each $breakpoint in map-keys($grid-breakpoints) {
+  @include media-breakpoint-up($breakpoint) {
+    $infix: breakpoint-infix($breakpoint, $grid-breakpoints);
+
+    @each $prop, $abbrev in (margin: m, padding: p) {
+      @each $size, $length in $spacers {
+        .#{$abbrev}#{$infix}-#{$size} { #{$prop}: $length !important; }
+        .#{$abbrev}t#{$infix}-#{$size},
+        .#{$abbrev}y#{$infix}-#{$size} {
+          #{$prop}-top: $length !important;
+        }
+        .#{$abbrev}r#{$infix}-#{$size},
+        .#{$abbrev}x#{$infix}-#{$size} {
+          #{$prop}-right: $length !important;
+        }
+        .#{$abbrev}b#{$infix}-#{$size},
+        .#{$abbrev}y#{$infix}-#{$size} {
+          #{$prop}-bottom: $length !important;
+        }
+        .#{$abbrev}l#{$infix}-#{$size},
+        .#{$abbrev}x#{$infix}-#{$size} {
+          #{$prop}-left: $length !important;
+        }
+      }
+    }
+
+    // Negative margins (e.g., where `.mb-n1` is negative version of `.mb-1`)
+    @each $size, $length in $spacers {
+      @if $size != 0 {
+        .m#{$infix}-n#{$size} { margin: -$length !important; }
+        .mt#{$infix}-n#{$size},
+        .my#{$infix}-n#{$size} {
+          margin-top: -$length !important;
+        }
+        .mr#{$infix}-n#{$size},
+        .mx#{$infix}-n#{$size} {
+          margin-right: -$length !important;
+        }
+        .mb#{$infix}-n#{$size},
+        .my#{$infix}-n#{$size} {
+          margin-bottom: -$length !important;
+        }
+        .ml#{$infix}-n#{$size},
+        .mx#{$infix}-n#{$size} {
+          margin-left: -$length !important;
+        }
+      }
+    }
+
+    // Some special margin utils
+    .m#{$infix}-auto { margin: auto !important; }
+    .mt#{$infix}-auto,
+    .my#{$infix}-auto {
+      margin-top: auto !important;
+    }
+    .mr#{$infix}-auto,
+    .mx#{$infix}-auto {
+      margin-right: auto !important;
+    }
+    .mb#{$infix}-auto,
+    .my#{$infix}-auto {
+      margin-bottom: auto !important;
+    }
+    .ml#{$infix}-auto,
+    .mx#{$infix}-auto {
+      margin-left: auto !important;
+    }
+  }
+}
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/bslib/lib/bs4/scss/utilities/_screenreaders.scss
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/bslib/lib/bs4/scss/utilities/_screenreaders.scss	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/bslib/lib/bs4/scss/utilities/_screenreaders.scss	(revision 3761)
@@ -0,0 +1,11 @@
+//
+// Screenreaders
+//
+
+.sr-only {
+  @include sr-only();
+}
+
+.sr-only-focusable {
+  @include sr-only-focusable();
+}
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/bslib/lib/bs4/scss/utilities/_visibility.scss
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/bslib/lib/bs4/scss/utilities/_visibility.scss	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/bslib/lib/bs4/scss/utilities/_visibility.scss	(revision 3761)
@@ -0,0 +1,13 @@
+// stylelint-disable declaration-no-important
+
+//
+// Visibility utilities
+//
+
+.visible {
+  visibility: visible !important;
+}
+
+.invisible {
+  visibility: hidden !important;
+}
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/bslib/lib/bs4/scss/utilities/_align.scss
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/bslib/lib/bs4/scss/utilities/_align.scss	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/bslib/lib/bs4/scss/utilities/_align.scss	(revision 3761)
@@ -0,0 +1,8 @@
+// stylelint-disable declaration-no-important
+
+.align-baseline    { vertical-align: baseline !important; } // Browser default
+.align-top         { vertical-align: top !important; }
+.align-middle      { vertical-align: middle !important; }
+.align-bottom      { vertical-align: bottom !important; }
+.align-text-bottom { vertical-align: text-bottom !important; }
+.align-text-top    { vertical-align: text-top !important; }
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/bslib/lib/bs4/scss/utilities/_clearfix.scss
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/bslib/lib/bs4/scss/utilities/_clearfix.scss	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/bslib/lib/bs4/scss/utilities/_clearfix.scss	(revision 3761)
@@ -0,0 +1,3 @@
+.clearfix {
+  @include clearfix();
+}
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/bslib/lib/bs4/scss/utilities/_flex.scss
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/bslib/lib/bs4/scss/utilities/_flex.scss	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/bslib/lib/bs4/scss/utilities/_flex.scss	(revision 3761)
@@ -0,0 +1,51 @@
+// stylelint-disable declaration-no-important
+
+// Flex variation
+//
+// Custom styles for additional flex alignment options.
+
+@each $breakpoint in map-keys($grid-breakpoints) {
+  @include media-breakpoint-up($breakpoint) {
+    $infix: breakpoint-infix($breakpoint, $grid-breakpoints);
+
+    .flex#{$infix}-row            { flex-direction: row !important; }
+    .flex#{$infix}-column         { flex-direction: column !important; }
+    .flex#{$infix}-row-reverse    { flex-direction: row-reverse !important; }
+    .flex#{$infix}-column-reverse { flex-direction: column-reverse !important; }
+
+    .flex#{$infix}-wrap         { flex-wrap: wrap !important; }
+    .flex#{$infix}-nowrap       { flex-wrap: nowrap !important; }
+    .flex#{$infix}-wrap-reverse { flex-wrap: wrap-reverse !important; }
+    .flex#{$infix}-fill         { flex: 1 1 auto !important; }
+    .flex#{$infix}-grow-0       { flex-grow: 0 !important; }
+    .flex#{$infix}-grow-1       { flex-grow: 1 !important; }
+    .flex#{$infix}-shrink-0     { flex-shrink: 0 !important; }
+    .flex#{$infix}-shrink-1     { flex-shrink: 1 !important; }
+
+    .justify-content#{$infix}-start   { justify-content: flex-start !important; }
+    .justify-content#{$infix}-end     { justify-content: flex-end !important; }
+    .justify-content#{$infix}-center  { justify-content: center !important; }
+    .justify-content#{$infix}-between { justify-content: space-between !important; }
+    .justify-content#{$infix}-around  { justify-content: space-around !important; }
+
+    .align-items#{$infix}-start    { align-items: flex-start !important; }
+    .align-items#{$infix}-end      { align-items: flex-end !important; }
+    .align-items#{$infix}-center   { align-items: center !important; }
+    .align-items#{$infix}-baseline { align-items: baseline !important; }
+    .align-items#{$infix}-stretch  { align-items: stretch !important; }
+
+    .align-content#{$infix}-start   { align-content: flex-start !important; }
+    .align-content#{$infix}-end     { align-content: flex-end !important; }
+    .align-content#{$infix}-center  { align-content: center !important; }
+    .align-content#{$infix}-between { align-content: space-between !important; }
+    .align-content#{$infix}-around  { align-content: space-around !important; }
+    .align-content#{$infix}-stretch { align-content: stretch !important; }
+
+    .align-self#{$infix}-auto     { align-self: auto !important; }
+    .align-self#{$infix}-start    { align-self: flex-start !important; }
+    .align-self#{$infix}-end      { align-self: flex-end !important; }
+    .align-self#{$infix}-center   { align-self: center !important; }
+    .align-self#{$infix}-baseline { align-self: baseline !important; }
+    .align-self#{$infix}-stretch  { align-self: stretch !important; }
+  }
+}
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/bslib/lib/bs4/scss/utilities/_borders.scss
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/bslib/lib/bs4/scss/utilities/_borders.scss	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/bslib/lib/bs4/scss/utilities/_borders.scss	(revision 3761)
@@ -0,0 +1,75 @@
+// stylelint-disable property-disallowed-list, declaration-no-important
+
+//
+// Border
+//
+
+.border         { border: $border-width solid $border-color !important; }
+.border-top     { border-top: $border-width solid $border-color !important; }
+.border-right   { border-right: $border-width solid $border-color !important; }
+.border-bottom  { border-bottom: $border-width solid $border-color !important; }
+.border-left    { border-left: $border-width solid $border-color !important; }
+
+.border-0        { border: 0 !important; }
+.border-top-0    { border-top: 0 !important; }
+.border-right-0  { border-right: 0 !important; }
+.border-bottom-0 { border-bottom: 0 !important; }
+.border-left-0   { border-left: 0 !important; }
+
+@each $color, $value in $theme-colors {
+  .border-#{$color} {
+    border-color: $value !important;
+  }
+}
+
+.border-white {
+  border-color: $white !important;
+}
+
+//
+// Border-radius
+//
+
+.rounded-sm {
+  border-radius: $border-radius-sm !important;
+}
+
+.rounded {
+  border-radius: $border-radius !important;
+}
+
+.rounded-top {
+  border-top-left-radius: $border-radius !important;
+  border-top-right-radius: $border-radius !important;
+}
+
+.rounded-right {
+  border-top-right-radius: $border-radius !important;
+  border-bottom-right-radius: $border-radius !important;
+}
+
+.rounded-bottom {
+  border-bottom-right-radius: $border-radius !important;
+  border-bottom-left-radius: $border-radius !important;
+}
+
+.rounded-left {
+  border-top-left-radius: $border-radius !important;
+  border-bottom-left-radius: $border-radius !important;
+}
+
+.rounded-lg {
+  border-radius: $border-radius-lg !important;
+}
+
+.rounded-circle {
+  border-radius: 50% !important;
+}
+
+.rounded-pill {
+  border-radius: $rounded-pill !important;
+}
+
+.rounded-0 {
+  border-radius: 0 !important;
+}
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/bslib/lib/bs4/scss/utilities/_interactions.scss
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/bslib/lib/bs4/scss/utilities/_interactions.scss	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/bslib/lib/bs4/scss/utilities/_interactions.scss	(revision 3761)
@@ -0,0 +1,5 @@
+// stylelint-disable declaration-no-important
+
+@each $value in $user-selects {
+  .user-select-#{$value} { user-select: $value !important; }
+}
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/bslib/lib/bs4/scss/utilities/_overflow.scss
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/bslib/lib/bs4/scss/utilities/_overflow.scss	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/bslib/lib/bs4/scss/utilities/_overflow.scss	(revision 3761)
@@ -0,0 +1,5 @@
+// stylelint-disable declaration-no-important
+
+@each $value in $overflows {
+  .overflow-#{$value} { overflow: $value !important; }
+}
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/bslib/lib/bs4/scss/utilities/_sizing.scss
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/bslib/lib/bs4/scss/utilities/_sizing.scss	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/bslib/lib/bs4/scss/utilities/_sizing.scss	(revision 3761)
@@ -0,0 +1,20 @@
+// stylelint-disable declaration-no-important
+
+// Width and height
+
+@each $prop, $abbrev in (width: w, height: h) {
+  @each $size, $length in $sizes {
+    .#{$abbrev}-#{$size} { #{$prop}: $length !important; }
+  }
+}
+
+.mw-100 { max-width: 100% !important; }
+.mh-100 { max-height: 100% !important; }
+
+// Viewport additional helpers
+
+.min-vw-100 { min-width: 100vw !important; }
+.min-vh-100 { min-height: 100vh !important; }
+
+.vw-100 { width: 100vw !important; }
+.vh-100 { height: 100vh !important; }
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/bslib/lib/bs4/scss/utilities/_position.scss
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/bslib/lib/bs4/scss/utilities/_position.scss	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/bslib/lib/bs4/scss/utilities/_position.scss	(revision 3761)
@@ -0,0 +1,32 @@
+// stylelint-disable declaration-no-important
+
+// Common values
+@each $position in $positions {
+  .position-#{$position} { position: $position !important; }
+}
+
+// Shorthand
+
+.fixed-top {
+  position: fixed;
+  top: 0;
+  right: 0;
+  left: 0;
+  z-index: $zindex-fixed;
+}
+
+.fixed-bottom {
+  position: fixed;
+  right: 0;
+  bottom: 0;
+  left: 0;
+  z-index: $zindex-fixed;
+}
+
+.sticky-top {
+  @supports (position: sticky) {
+    position: sticky;
+    top: 0;
+    z-index: $zindex-sticky;
+  }
+}
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/bslib/lib/bs4/scss/utilities/_float.scss
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/bslib/lib/bs4/scss/utilities/_float.scss	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/bslib/lib/bs4/scss/utilities/_float.scss	(revision 3761)
@@ -0,0 +1,11 @@
+// stylelint-disable declaration-no-important
+
+@each $breakpoint in map-keys($grid-breakpoints) {
+  @include media-breakpoint-up($breakpoint) {
+    $infix: breakpoint-infix($breakpoint, $grid-breakpoints);
+
+    .float#{$infix}-left  { float: left !important; }
+    .float#{$infix}-right { float: right !important; }
+    .float#{$infix}-none  { float: none !important; }
+  }
+}
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/bslib/lib/bs4/scss/utilities/_display.scss
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/bslib/lib/bs4/scss/utilities/_display.scss	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/bslib/lib/bs4/scss/utilities/_display.scss	(revision 3761)
@@ -0,0 +1,26 @@
+// stylelint-disable declaration-no-important
+
+//
+// Utilities for common `display` values
+//
+
+@each $breakpoint in map-keys($grid-breakpoints) {
+  @include media-breakpoint-up($breakpoint) {
+    $infix: breakpoint-infix($breakpoint, $grid-breakpoints);
+
+    @each $value in $displays {
+      .d#{$infix}-#{$value} { display: $value !important; }
+    }
+  }
+}
+
+
+//
+// Utilities for toggling `display` in print
+//
+
+@media print {
+  @each $value in $displays {
+    .d-print-#{$value} { display: $value !important; }
+  }
+}
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/bslib/lib/bs4/scss/utilities/_shadows.scss
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/bslib/lib/bs4/scss/utilities/_shadows.scss	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/bslib/lib/bs4/scss/utilities/_shadows.scss	(revision 3761)
@@ -0,0 +1,6 @@
+// stylelint-disable declaration-no-important
+
+.shadow-sm { box-shadow: $box-shadow-sm !important; }
+.shadow { box-shadow: $box-shadow !important; }
+.shadow-lg { box-shadow: $box-shadow-lg !important; }
+.shadow-none { box-shadow: none !important; }
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/bslib/lib/bs4/scss/utilities/_embed.scss
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/bslib/lib/bs4/scss/utilities/_embed.scss	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/bslib/lib/bs4/scss/utilities/_embed.scss	(revision 3761)
@@ -0,0 +1,39 @@
+// Credit: Nicolas Gallagher and SUIT CSS.
+
+.embed-responsive {
+  position: relative;
+  display: block;
+  width: 100%;
+  padding: 0;
+  overflow: hidden;
+
+  &::before {
+    display: block;
+    content: "";
+  }
+
+  .embed-responsive-item,
+  iframe,
+  embed,
+  object,
+  video {
+    position: absolute;
+    top: 0;
+    bottom: 0;
+    left: 0;
+    width: 100%;
+    height: 100%;
+    border: 0;
+  }
+}
+
+@each $embed-responsive-aspect-ratio in $embed-responsive-aspect-ratios {
+  $embed-responsive-aspect-ratio-x: nth($embed-responsive-aspect-ratio, 1);
+  $embed-responsive-aspect-ratio-y: nth($embed-responsive-aspect-ratio, 2);
+
+  .embed-responsive-#{$embed-responsive-aspect-ratio-x}by#{$embed-responsive-aspect-ratio-y} {
+    &::before {
+      padding-top: percentage($embed-responsive-aspect-ratio-y / $embed-responsive-aspect-ratio-x);
+    }
+  }
+}
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/bslib/lib/bs4/scss/utilities/_background.scss
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/bslib/lib/bs4/scss/utilities/_background.scss	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/bslib/lib/bs4/scss/utilities/_background.scss	(revision 3761)
@@ -0,0 +1,20 @@
+// stylelint-disable declaration-no-important
+
+@each $color, $value in $theme-colors {
+  @include bg-variant(".bg-#{$color}", $value, true);
+}
+
+@if $enable-gradients {
+  @each $color, $value in $theme-colors {
+    @include bg-gradient-variant(".bg-gradient-#{$color}", $value, true);
+  }
+}
+
+.bg-white {
+  background-color: $white !important;
+  color: color-contrast($white);
+}
+
+.bg-transparent {
+  background-color: transparent !important;
+}
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/bslib/lib/bs4/scss/utilities/_stretched-link.scss
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/bslib/lib/bs4/scss/utilities/_stretched-link.scss	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/bslib/lib/bs4/scss/utilities/_stretched-link.scss	(revision 3761)
@@ -0,0 +1,19 @@
+//
+// Stretched link
+//
+
+.stretched-link {
+  &::after {
+    position: absolute;
+    top: 0;
+    right: 0;
+    bottom: 0;
+    left: 0;
+    z-index: 1;
+    // Just in case `pointer-events: none` is set on a parent
+    pointer-events: auto;
+    content: "";
+    // IE10 bugfix, see https://stackoverflow.com/questions/16947967/ie10-hover-pseudo-class-doesnt-work-without-background-color
+    background-color: rgba(0, 0, 0, 0);
+  }
+}
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/bslib/lib/bs4/scss/vendor/_rfs.scss
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/bslib/lib/bs4/scss/vendor/_rfs.scss	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/bslib/lib/bs4/scss/vendor/_rfs.scss	(revision 3761)
@@ -0,0 +1,204 @@
+// stylelint-disable property-blacklist, scss/dollar-variable-default
+
+// SCSS RFS mixin
+//
+// Automated font-resizing
+//
+// See https://github.com/twbs/rfs
+
+// Configuration
+
+// Base font size
+$rfs-base-font-size: 1.25rem !default;
+$rfs-font-size-unit: rem !default;
+
+// Breakpoint at where font-size starts decreasing if screen width is smaller
+$rfs-breakpoint: 1200px !default;
+$rfs-breakpoint-unit: px !default;
+
+// Resize font-size based on screen height and width
+$rfs-two-dimensional: false !default;
+
+// Factor of decrease
+$rfs-factor: 10 !default;
+
+@if type-of($rfs-factor) != "number" or $rfs-factor <= 1 {
+  @error "`#{$rfs-factor}` is not a valid  $rfs-factor, it must be greater than 1.";
+}
+
+// Generate enable or disable classes. Possibilities: false, "enable" or "disable"
+$rfs-class: false !default;
+
+// 1 rem = $rfs-rem-value px
+$rfs-rem-value: 16 !default;
+
+// Safari iframe resize bug: https://github.com/twbs/rfs/issues/14
+$rfs-safari-iframe-resize-bug-fix: false !default;
+
+// Disable RFS by setting $enable-responsive-font-sizes to false
+$enable-responsive-font-sizes: true !default;
+
+// Cache $rfs-base-font-size unit
+$rfs-base-font-size-unit: unit($rfs-base-font-size);
+
+// Remove px-unit from $rfs-base-font-size for calculations
+@if $rfs-base-font-size-unit == "px" {
+  $rfs-base-font-size: $rfs-base-font-size / ($rfs-base-font-size * 0 + 1);
+}
+@else if $rfs-base-font-size-unit == "rem" {
+  $rfs-base-font-size: $rfs-base-font-size / ($rfs-base-font-size * 0 + 1 / $rfs-rem-value);
+}
+
+// Cache $rfs-breakpoint unit to prevent multiple calls
+$rfs-breakpoint-unit-cache: unit($rfs-breakpoint);
+
+// Remove unit from $rfs-breakpoint for calculations
+@if $rfs-breakpoint-unit-cache == "px" {
+  $rfs-breakpoint: $rfs-breakpoint / ($rfs-breakpoint * 0 + 1);
+}
+@else if $rfs-breakpoint-unit-cache == "rem" or $rfs-breakpoint-unit-cache == "em" {
+  $rfs-breakpoint: $rfs-breakpoint / ($rfs-breakpoint * 0 + 1 / $rfs-rem-value);
+}
+
+// Responsive font-size mixin
+@mixin rfs($fs, $important: false) {
+  // Cache $fs unit
+  $fs-unit: if(type-of($fs) == "number", unit($fs), false);
+
+  // Add !important suffix if needed
+  $rfs-suffix: if($important, " !important", "");
+
+  // If $fs isn't a number (like inherit) or $fs has a unit (not px or rem, like 1.5em) or $ is 0, just print the value
+  @if not $fs-unit or $fs-unit != "" and $fs-unit != "px" and $fs-unit != "rem" or $fs == 0 {
+    font-size: #{$fs}#{$rfs-suffix};
+  }
+  @else {
+    // Variables for storing static and fluid rescaling
+    $rfs-static: null;
+    $rfs-fluid: null;
+
+    // Remove px-unit from $fs for calculations
+    @if $fs-unit == "px" {
+      $fs: $fs / ($fs * 0 + 1);
+    }
+    @else if $fs-unit == "rem" {
+      $fs: $fs / ($fs * 0 + 1 / $rfs-rem-value);
+    }
+
+    // Set default font-size
+    @if $rfs-font-size-unit == rem {
+      $rfs-static: #{$fs / $rfs-rem-value}rem#{$rfs-suffix};
+    }
+    @else if $rfs-font-size-unit == px {
+      $rfs-static: #{$fs}px#{$rfs-suffix};
+    }
+    @else {
+      @error "`#{$rfs-font-size-unit}` is not a valid unit for $rfs-font-size-unit. Use `px` or `rem`.";
+    }
+
+    // Only add media query if font-size is bigger as the minimum font-size
+    // If $rfs-factor == 1, no rescaling will take place
+    @if $fs > $rfs-base-font-size and $enable-responsive-font-sizes {
+      $min-width: null;
+      $variable-unit: null;
+
+      // Calculate minimum font-size for given font-size
+      $fs-min: $rfs-base-font-size + ($fs - $rfs-base-font-size) / $rfs-factor;
+
+      // Calculate difference between given font-size and minimum font-size for given font-size
+      $fs-diff: $fs - $fs-min;
+
+      // Base font-size formatting
+      // No need to check if the unit is valid, because we did that before
+      $min-width: if($rfs-font-size-unit == rem, #{$fs-min / $rfs-rem-value}rem, #{$fs-min}px);
+
+      // If two-dimensional, use smallest of screen width and height
+      $variable-unit: if($rfs-two-dimensional, vmin, vw);
+
+      // Calculate the variable width between 0 and $rfs-breakpoint
+      $variable-width: #{$fs-diff * 100 / $rfs-breakpoint}#{$variable-unit};
+
+      // Set the calculated font-size.
+      $rfs-fluid: calc(#{$min-width} + #{$variable-width}) #{$rfs-suffix};
+    }
+
+    // Rendering
+    @if $rfs-fluid == null {
+      // Only render static font-size if no fluid font-size is available
+      font-size: $rfs-static;
+    }
+    @else {
+      $mq-value: null;
+
+      // RFS breakpoint formatting
+      @if $rfs-breakpoint-unit == em or $rfs-breakpoint-unit == rem {
+        $mq-value: #{$rfs-breakpoint / $rfs-rem-value}#{$rfs-breakpoint-unit};
+      }
+      @else if $rfs-breakpoint-unit == px {
+        $mq-value: #{$rfs-breakpoint}px;
+      }
+      @else {
+        @error "`#{$rfs-breakpoint-unit}` is not a valid unit for $rfs-breakpoint-unit. Use `px`, `em` or `rem`.";
+      }
+
+      @if $rfs-class == "disable" {
+        // Adding an extra class increases specificity,
+        // which prevents the media query to override the font size
+        &,
+        .disable-responsive-font-size &,
+        &.disable-responsive-font-size {
+          font-size: $rfs-static;
+        }
+      }
+      @else {
+        font-size: $rfs-static;
+      }
+
+      @if $rfs-two-dimensional {
+        @media (max-width: #{$mq-value}), (max-height: #{$mq-value}) {
+          @if $rfs-class == "enable" {
+            .enable-responsive-font-size &,
+            &.enable-responsive-font-size {
+              font-size: $rfs-fluid;
+            }
+          }
+          @else {
+            font-size: $rfs-fluid;
+          }
+
+          @if $rfs-safari-iframe-resize-bug-fix {
+            // stylelint-disable-next-line length-zero-no-unit
+            min-width: 0vw;
+          }
+        }
+      }
+      @else {
+        @media (max-width: #{$mq-value}) {
+          @if $rfs-class == "enable" {
+            .enable-responsive-font-size &,
+            &.enable-responsive-font-size {
+              font-size: $rfs-fluid;
+            }
+          }
+          @else {
+            font-size: $rfs-fluid;
+          }
+
+          @if $rfs-safari-iframe-resize-bug-fix {
+            // stylelint-disable-next-line length-zero-no-unit
+            min-width: 0vw;
+          }
+        }
+      }
+    }
+  }
+}
+
+// The font-size & responsive-font-size mixin uses RFS to rescale font sizes
+@mixin font-size($fs, $important: false) {
+  @include rfs($fs, $important);
+}
+
+@mixin responsive-font-size($fs, $important: false) {
+  @include rfs($fs, $important);
+}
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/bslib/lib/bs4/scss/mixins/_border-radius.scss
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/bslib/lib/bs4/scss/mixins/_border-radius.scss	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/bslib/lib/bs4/scss/mixins/_border-radius.scss	(revision 3761)
@@ -0,0 +1,76 @@
+// stylelint-disable property-disallowed-list
+// Single side border-radius
+
+// Helper function to replace negative values with 0
+@function valid-radius($radius) {
+  $return: ();
+  @each $value in $radius {
+    @if type-of($value) == number {
+      $return: append($return, max($value, 0));
+    } @else {
+      $return: append($return, $value);
+    }
+  }
+  @return $return;
+}
+
+@mixin border-radius($radius: $border-radius, $fallback-border-radius: false) {
+  @if $enable-rounded {
+    border-radius: valid-radius($radius);
+  }
+  @else if $fallback-border-radius != false {
+    border-radius: $fallback-border-radius;
+  }
+}
+
+@mixin border-top-radius($radius) {
+  @if $enable-rounded {
+    border-top-left-radius: valid-radius($radius);
+    border-top-right-radius: valid-radius($radius);
+  }
+}
+
+@mixin border-right-radius($radius) {
+  @if $enable-rounded {
+    border-top-right-radius: valid-radius($radius);
+    border-bottom-right-radius: valid-radius($radius);
+  }
+}
+
+@mixin border-bottom-radius($radius) {
+  @if $enable-rounded {
+    border-bottom-right-radius: valid-radius($radius);
+    border-bottom-left-radius: valid-radius($radius);
+  }
+}
+
+@mixin border-left-radius($radius) {
+  @if $enable-rounded {
+    border-top-left-radius: valid-radius($radius);
+    border-bottom-left-radius: valid-radius($radius);
+  }
+}
+
+@mixin border-top-left-radius($radius) {
+  @if $enable-rounded {
+    border-top-left-radius: valid-radius($radius);
+  }
+}
+
+@mixin border-top-right-radius($radius) {
+  @if $enable-rounded {
+    border-top-right-radius: valid-radius($radius);
+  }
+}
+
+@mixin border-bottom-right-radius($radius) {
+  @if $enable-rounded {
+    border-bottom-right-radius: valid-radius($radius);
+  }
+}
+
+@mixin border-bottom-left-radius($radius) {
+  @if $enable-rounded {
+    border-bottom-left-radius: valid-radius($radius);
+  }
+}
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/bslib/lib/bs4/scss/mixins/_badge.scss
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/bslib/lib/bs4/scss/mixins/_badge.scss	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/bslib/lib/bs4/scss/mixins/_badge.scss	(revision 3761)
@@ -0,0 +1,17 @@
+@mixin badge-variant($bg) {
+  color: color-contrast($bg);
+  background-color: $bg;
+
+  @at-root a#{&} {
+    @include hover-focus() {
+      color: color-contrast($bg);
+      background-color: darken($bg, 10%);
+    }
+
+    &:focus,
+    &.focus {
+      outline: 0;
+      box-shadow: 0 0 0 $badge-focus-width rgba($bg, .5);
+    }
+  }
+}
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/bslib/lib/bs4/scss/mixins/_reset-text.scss
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/bslib/lib/bs4/scss/mixins/_reset-text.scss	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/bslib/lib/bs4/scss/mixins/_reset-text.scss	(revision 3761)
@@ -0,0 +1,17 @@
+@mixin reset-text() {
+  font-family: $font-family-base;
+  // We deliberately do NOT reset font-size or word-wrap.
+  font-style: normal;
+  font-weight: $font-weight-normal;
+  line-height: $line-height-base;
+  text-align: left; // Fallback for where `start` is not supported
+  text-align: start;
+  text-decoration: none;
+  text-shadow: none;
+  text-transform: none;
+  letter-spacing: normal;
+  word-break: normal;
+  word-spacing: normal;
+  white-space: normal;
+  line-break: auto;
+}
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/bslib/lib/bs4/scss/mixins/_float.scss
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/bslib/lib/bs4/scss/mixins/_float.scss	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/bslib/lib/bs4/scss/mixins/_float.scss	(revision 3761)
@@ -0,0 +1,14 @@
+// stylelint-disable declaration-no-important
+
+@mixin float-left() {
+  float: left !important;
+  @include deprecate("The `float-left` mixin", "v4.3.0", "v5");
+}
+@mixin float-right() {
+  float: right !important;
+  @include deprecate("The `float-right` mixin", "v4.3.0", "v5");
+}
+@mixin float-none() {
+  float: none !important;
+  @include deprecate("The `float-none` mixin", "v4.3.0", "v5");
+}
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/bslib/lib/bs4/scss/mixins/_list-group.scss
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/bslib/lib/bs4/scss/mixins/_list-group.scss	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/bslib/lib/bs4/scss/mixins/_list-group.scss	(revision 3761)
@@ -0,0 +1,21 @@
+// List Groups
+
+@mixin list-group-item-variant($state, $background, $color) {
+  .list-group-item-#{$state} {
+    color: $color;
+    background-color: $background;
+
+    &.list-group-item-action {
+      @include hover-focus() {
+        color: $color;
+        background-color: darken($background, 5%);
+      }
+
+      &.active {
+        color: $white;
+        background-color: $color;
+        border-color: $color;
+      }
+    }
+  }
+}
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/bslib/lib/bs4/scss/mixins/_alert.scss
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/bslib/lib/bs4/scss/mixins/_alert.scss	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/bslib/lib/bs4/scss/mixins/_alert.scss	(revision 3761)
@@ -0,0 +1,13 @@
+@mixin alert-variant($background, $border, $color) {
+  color: $color;
+  @include gradient-bg($background);
+  border-color: $border;
+
+  hr {
+    border-top-color: darken($border, 5%);
+  }
+
+  .alert-link {
+    color: darken($color, 10%);
+  }
+}
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/bslib/lib/bs4/scss/mixins/_text-truncate.scss
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/bslib/lib/bs4/scss/mixins/_text-truncate.scss	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/bslib/lib/bs4/scss/mixins/_text-truncate.scss	(revision 3761)
@@ -0,0 +1,8 @@
+// Text truncate
+// Requires inline-block or block for proper styling
+
+@mixin text-truncate() {
+  overflow: hidden;
+  text-overflow: ellipsis;
+  white-space: nowrap;
+}
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/bslib/lib/bs4/scss/mixins/_nav-divider.scss
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/bslib/lib/bs4/scss/mixins/_nav-divider.scss	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/bslib/lib/bs4/scss/mixins/_nav-divider.scss	(revision 3761)
@@ -0,0 +1,11 @@
+// Horizontal dividers
+//
+// Dividers (basically an hr) within dropdowns and nav lists
+
+@mixin nav-divider($color: $nav-divider-color, $margin-y: $nav-divider-margin-y, $ignore-warning: false) {
+  height: 0;
+  margin: $margin-y 0;
+  overflow: hidden;
+  border-top: 1px solid $color;
+  @include deprecate("The `nav-divider()` mixin", "v4.4.0", "v5", $ignore-warning);
+}
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/bslib/lib/bs4/scss/mixins/_size.scss
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/bslib/lib/bs4/scss/mixins/_size.scss	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/bslib/lib/bs4/scss/mixins/_size.scss	(revision 3761)
@@ -0,0 +1,7 @@
+// Sizing shortcuts
+
+@mixin size($width, $height: $width) {
+  width: $width;
+  height: $height;
+  @include deprecate("`size()`", "v4.3.0", "v5");
+}
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/bslib/lib/bs4/scss/mixins/_box-shadow.scss
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/bslib/lib/bs4/scss/mixins/_box-shadow.scss	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/bslib/lib/bs4/scss/mixins/_box-shadow.scss	(revision 3761)
@@ -0,0 +1,20 @@
+@mixin box-shadow($shadow...) {
+  @if $enable-shadows {
+    $result: ();
+
+    @if (length($shadow) == 1) {
+      // We can pass `@include box-shadow(none);`
+      $result: $shadow;
+    } @else {
+      // Filter to avoid invalid properties for example `box-shadow: none, 1px 1px black;`
+      @for $i from 1 through length($shadow) {
+        @if nth($shadow, $i) != "none" {
+          $result: append($result, nth($shadow, $i), "comma");
+        }
+      }
+    }
+    @if (length($result) > 0) {
+      box-shadow: $result;
+    }
+  }
+}
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/bslib/lib/bs4/scss/mixins/_screen-reader.scss
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/bslib/lib/bs4/scss/mixins/_screen-reader.scss	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/bslib/lib/bs4/scss/mixins/_screen-reader.scss	(revision 3761)
@@ -0,0 +1,34 @@
+// Only display content to screen readers
+//
+// See: https://www.a11yproject.com/posts/2013-01-11-how-to-hide-content/
+// See: https://hugogiraudel.com/2016/10/13/css-hide-and-seek/
+
+@mixin sr-only() {
+  position: absolute;
+  width: 1px;
+  height: 1px;
+  padding: 0;
+  margin: -1px; // Fix for https://github.com/twbs/bootstrap/issues/25686
+  overflow: hidden;
+  clip: rect(0, 0, 0, 0);
+  white-space: nowrap;
+  border: 0;
+}
+
+// Use in conjunction with .sr-only to only display content when it's focused.
+//
+// Useful for "Skip to main content" links; see https://www.w3.org/TR/2013/NOTE-WCAG20-TECHS-20130905/G1
+//
+// Credit: HTML5 Boilerplate
+
+@mixin sr-only-focusable() {
+  &:active,
+  &:focus {
+    position: static;
+    width: auto;
+    height: auto;
+    overflow: visible;
+    clip: auto;
+    white-space: normal;
+  }
+}
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/bslib/lib/bs4/scss/mixins/_gradients.scss
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/bslib/lib/bs4/scss/mixins/_gradients.scss	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/bslib/lib/bs4/scss/mixins/_gradients.scss	(revision 3761)
@@ -0,0 +1,45 @@
+// Gradients
+
+@mixin gradient-bg($color) {
+  @if $enable-gradients {
+    background: $color linear-gradient(180deg, mix($body-bg, $color, 15%), $color) repeat-x;
+  } @else {
+    background-color: $color;
+  }
+}
+
+// Horizontal gradient, from left to right
+//
+// Creates two color stops, start and end, by specifying a color and position for each color stop.
+@mixin gradient-x($start-color: $gray-700, $end-color: $gray-800, $start-percent: 0%, $end-percent: 100%) {
+  background-image: linear-gradient(to right, $start-color $start-percent, $end-color $end-percent);
+  background-repeat: repeat-x;
+}
+
+// Vertical gradient, from top to bottom
+//
+// Creates two color stops, start and end, by specifying a color and position for each color stop.
+@mixin gradient-y($start-color: $gray-700, $end-color: $gray-800, $start-percent: 0%, $end-percent: 100%) {
+  background-image: linear-gradient(to bottom, $start-color $start-percent, $end-color $end-percent);
+  background-repeat: repeat-x;
+}
+
+@mixin gradient-directional($start-color: $gray-700, $end-color: $gray-800, $deg: 45deg) {
+  background-image: linear-gradient($deg, $start-color, $end-color);
+  background-repeat: repeat-x;
+}
+@mixin gradient-x-three-colors($start-color: $blue, $mid-color: $purple, $color-stop: 50%, $end-color: $red) {
+  background-image: linear-gradient(to right, $start-color, $mid-color $color-stop, $end-color);
+  background-repeat: no-repeat;
+}
+@mixin gradient-y-three-colors($start-color: $blue, $mid-color: $purple, $color-stop: 50%, $end-color: $red) {
+  background-image: linear-gradient($start-color, $mid-color $color-stop, $end-color);
+  background-repeat: no-repeat;
+}
+@mixin gradient-radial($inner-color: $gray-700, $outer-color: $gray-800) {
+  background-image: radial-gradient(circle, $inner-color, $outer-color);
+  background-repeat: no-repeat;
+}
+@mixin gradient-striped($color: rgba($white, .15), $angle: 45deg) {
+  background-image: linear-gradient($angle, $color 25%, transparent 25%, transparent 50%, $color 50%, $color 75%, transparent 75%, transparent);
+}
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/bslib/lib/bs4/scss/mixins/_grid-framework.scss
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/bslib/lib/bs4/scss/mixins/_grid-framework.scss	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/bslib/lib/bs4/scss/mixins/_grid-framework.scss	(revision 3761)
@@ -0,0 +1,82 @@
+// Framework grid generation
+//
+// Used only by Bootstrap to generate the correct number of grid classes given
+// any value of `$grid-columns`.
+
+@mixin make-grid-columns($columns: $grid-columns, $gutter: $grid-gutter-width, $breakpoints: $grid-breakpoints) {
+  // Common properties for all breakpoints
+  %grid-column {
+    position: relative;
+    width: 100%;
+    padding-right: $gutter / 2;
+    padding-left: $gutter / 2;
+  }
+
+  @each $breakpoint in map-keys($breakpoints) {
+    $infix: breakpoint-infix($breakpoint, $breakpoints);
+
+    @if $columns > 0 {
+      // Allow columns to stretch full width below their breakpoints
+      @for $i from 1 through $columns {
+        .col#{$infix}-#{$i} {
+          @extend %grid-column;
+        }
+      }
+    }
+
+    .col#{$infix},
+    .col#{$infix}-auto {
+      @extend %grid-column;
+    }
+
+    @include media-breakpoint-up($breakpoint, $breakpoints) {
+      // Provide basic `.col-{bp}` classes for equal-width flexbox columns
+      .col#{$infix} {
+        flex-basis: 0;
+        -webkit-flex-basis: 0;
+        flex-grow: 1;
+        -webkit-flex-grow: 1;
+        max-width: 100%;
+      }
+
+      @if $grid-row-columns > 0 {
+        @for $i from 1 through $grid-row-columns {
+          .row-cols#{$infix}-#{$i} {
+            @include row-cols($i);
+          }
+        }
+      }
+
+      .col#{$infix}-auto {
+        @include make-col-auto();
+      }
+
+      @if $columns > 0 {
+        @for $i from 1 through $columns {
+          .col#{$infix}-#{$i} {
+            @include make-col($i, $columns);
+          }
+        }
+      }
+
+      .order#{$infix}-first { order: -1; }
+
+      .order#{$infix}-last { order: $columns + 1; }
+
+      @for $i from 0 through $columns {
+        .order#{$infix}-#{$i} { order: $i; }
+      }
+
+      @if $columns > 0 {
+        // `$columns - 1` because offsetting by the width of an entire row isn't possible
+        @for $i from 0 through ($columns - 1) {
+          @if not ($infix == "" and $i == 0) { // Avoid emitting useless .offset-0
+            .offset#{$infix}-#{$i} {
+              @include make-col-offset($i, $columns);
+            }
+          }
+        }
+      }
+    }
+  }
+}
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/bslib/lib/bs4/scss/mixins/_background-variant.scss
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/bslib/lib/bs4/scss/mixins/_background-variant.scss	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/bslib/lib/bs4/scss/mixins/_background-variant.scss	(revision 3761)
@@ -0,0 +1,25 @@
+// stylelint-disable declaration-no-important
+
+// Contextual backgrounds
+
+@mixin bg-variant($parent, $color, $ignore-warning: false) {
+  #{$parent} {
+    background-color: $color !important;
+    color: color-contrast($color);
+  }
+  a#{$parent},
+  button#{$parent} {
+    @include hover-focus() {
+      background-color: darken($color, 10%) !important;
+    }
+  }
+  @include deprecate("The `bg-variant` mixin", "v4.4.0", "v5", $ignore-warning);
+}
+
+@mixin bg-gradient-variant($parent, $color, $ignore-warning: false) {
+  #{$parent} {
+    background: $color linear-gradient(180deg, mix($body-bg, $color, 15%), $color) repeat-x !important;
+    color: color-contrast($color);
+  }
+  @include deprecate("The `bg-gradient-variant` mixin", "v4.5.0", "v5", $ignore-warning);
+}
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/bslib/lib/bs4/scss/mixins/_breakpoints.scss
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/bslib/lib/bs4/scss/mixins/_breakpoints.scss	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/bslib/lib/bs4/scss/mixins/_breakpoints.scss	(revision 3761)
@@ -0,0 +1,123 @@
+// Breakpoint viewport sizes and media queries.
+//
+// Breakpoints are defined as a map of (name: minimum width), order from small to large:
+//
+//    (xs: 0, sm: 576px, md: 768px, lg: 992px, xl: 1200px)
+//
+// The map defined in the `$grid-breakpoints` global variable is used as the `$breakpoints` argument by default.
+
+// Name of the next breakpoint, or null for the last breakpoint.
+//
+//    >> breakpoint-next(sm)
+//    md
+//    >> breakpoint-next(sm, (xs: 0, sm: 576px, md: 768px, lg: 992px, xl: 1200px))
+//    md
+//    >> breakpoint-next(sm, $breakpoint-names: (xs sm md lg xl))
+//    md
+@function breakpoint-next($name, $breakpoints: $grid-breakpoints, $breakpoint-names: map-keys($breakpoints)) {
+  $n: index($breakpoint-names, $name);
+  @return if($n != null and $n < length($breakpoint-names), nth($breakpoint-names, $n + 1), null);
+}
+
+// Minimum breakpoint width. Null for the smallest (first) breakpoint.
+//
+//    >> breakpoint-min(sm, (xs: 0, sm: 576px, md: 768px, lg: 992px, xl: 1200px))
+//    576px
+@function breakpoint-min($name, $breakpoints: $grid-breakpoints) {
+  $min: map-get($breakpoints, $name);
+  @return if($min != 0, $min, null);
+}
+
+// Maximum breakpoint width. Null for the largest (last) breakpoint.
+// The maximum value is calculated as the minimum of the next one less 0.02px
+// to work around the limitations of `min-` and `max-` prefixes and viewports with fractional widths.
+// See https://www.w3.org/TR/mediaqueries-4/#mq-min-max
+// Uses 0.02px rather than 0.01px to work around a current rounding bug in Safari.
+// See https://bugs.webkit.org/show_bug.cgi?id=178261
+//
+//    >> breakpoint-max(sm, (xs: 0, sm: 576px, md: 768px, lg: 992px, xl: 1200px))
+//    767.98px
+@function breakpoint-max($name, $breakpoints: $grid-breakpoints) {
+  $next: breakpoint-next($name, $breakpoints);
+  @return if($next, breakpoint-min($next, $breakpoints) - .02, null);
+}
+
+// Returns a blank string if smallest breakpoint, otherwise returns the name with a dash in front.
+// Useful for making responsive utilities.
+//
+//    >> breakpoint-infix(xs, (xs: 0, sm: 576px, md: 768px, lg: 992px, xl: 1200px))
+//    ""  (Returns a blank string)
+//    >> breakpoint-infix(sm, (xs: 0, sm: 576px, md: 768px, lg: 992px, xl: 1200px))
+//    "-sm"
+@function breakpoint-infix($name, $breakpoints: $grid-breakpoints) {
+  @return if(breakpoint-min($name, $breakpoints) == null, "", "-#{$name}");
+}
+
+// Media of at least the minimum breakpoint width. No query for the smallest breakpoint.
+// Makes the @content apply to the given breakpoint and wider.
+@mixin media-breakpoint-up($name, $breakpoints: $grid-breakpoints) {
+  $min: breakpoint-min($name, $breakpoints);
+  @if $min {
+    @media (min-width: $min) {
+      @content;
+    }
+  } @else {
+    @content;
+  }
+}
+
+// Media of at most the maximum breakpoint width. No query for the largest breakpoint.
+// Makes the @content apply to the given breakpoint and narrower.
+@mixin media-breakpoint-down($name, $breakpoints: $grid-breakpoints) {
+  $max: breakpoint-max($name, $breakpoints);
+  @if $max {
+    @media (max-width: $max) {
+      @content;
+    }
+  } @else {
+    @content;
+  }
+}
+
+// Media that spans multiple breakpoint widths.
+// Makes the @content apply between the min and max breakpoints
+@mixin media-breakpoint-between($lower, $upper, $breakpoints: $grid-breakpoints) {
+  $min: breakpoint-min($lower, $breakpoints);
+  $max: breakpoint-max($upper, $breakpoints);
+
+  @if $min != null and $max != null {
+    @media (min-width: $min) and (max-width: $max) {
+      @content;
+    }
+  } @else if $max == null {
+    @include media-breakpoint-up($lower, $breakpoints) {
+      @content;
+    }
+  } @else if $min == null {
+    @include media-breakpoint-down($upper, $breakpoints) {
+      @content;
+    }
+  }
+}
+
+// Media between the breakpoint's minimum and maximum widths.
+// No minimum for the smallest breakpoint, and no maximum for the largest one.
+// Makes the @content apply only to the given breakpoint, not viewports any wider or narrower.
+@mixin media-breakpoint-only($name, $breakpoints: $grid-breakpoints) {
+  $min: breakpoint-min($name, $breakpoints);
+  $max: breakpoint-max($name, $breakpoints);
+
+  @if $min != null and $max != null {
+    @media (min-width: $min) and (max-width: $max) {
+      @content;
+    }
+  } @else if $max == null {
+    @include media-breakpoint-up($name, $breakpoints) {
+      @content;
+    }
+  } @else if $min == null {
+    @include media-breakpoint-down($name, $breakpoints) {
+      @content;
+    }
+  }
+}
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/bslib/lib/bs4/scss/mixins/_image.scss
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/bslib/lib/bs4/scss/mixins/_image.scss	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/bslib/lib/bs4/scss/mixins/_image.scss	(revision 3761)
@@ -0,0 +1,36 @@
+// Image Mixins
+// - Responsive image
+// - Retina image
+
+
+// Responsive image
+//
+// Keep images from scaling beyond the width of their parents.
+
+@mixin img-fluid() {
+  // Part 1: Set a maximum relative to the parent
+  max-width: 100%;
+  // Part 2: Override the height to auto, otherwise images will be stretched
+  // when setting a width and height attribute on the img element.
+  height: auto;
+}
+
+
+// Retina image
+//
+// Short retina mixin for setting background-image and -size.
+
+@mixin img-retina($file-1x, $file-2x, $width-1x, $height-1x) {
+  background-image: url($file-1x);
+
+  // Autoprefixer takes care of adding -webkit-min-device-pixel-ratio and -o-min-device-pixel-ratio,
+  // but doesn't convert dppx=>dpi.
+  // There's no such thing as unprefixed min-device-pixel-ratio since it's nonstandard.
+  // Compatibility info: https://caniuse.com/css-media-resolution
+  @media only screen and (min-resolution: 192dpi), // IE9-11 don't support dppx
+    only screen and (min-resolution: 2dppx) { // Standardized
+    background-image: url($file-2x);
+    background-size: $width-1x $height-1x;
+  }
+  @include deprecate("`img-retina()`", "v4.3.0", "v5");
+}
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/bslib/lib/bs4/scss/mixins/_hover.scss
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/bslib/lib/bs4/scss/mixins/_hover.scss	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/bslib/lib/bs4/scss/mixins/_hover.scss	(revision 3761)
@@ -0,0 +1,37 @@
+// Hover mixin and `$enable-hover-media-query` are deprecated.
+//
+// Originally added during our alphas and maintained during betas, this mixin was
+// designed to prevent `:hover` stickiness on iOS-an issue where hover styles
+// would persist after initial touch.
+//
+// For backward compatibility, we've kept these mixins and updated them to
+// always return their regular pseudo-classes instead of a shimmed media query.
+//
+// Issue: https://github.com/twbs/bootstrap/issues/25195
+
+@mixin hover() {
+  &:hover { @content; }
+}
+
+@mixin hover-focus() {
+  &:hover,
+  &:focus {
+    @content;
+  }
+}
+
+@mixin plain-hover-focus() {
+  &,
+  &:hover,
+  &:focus {
+    @content;
+  }
+}
+
+@mixin hover-focus-active() {
+  &:hover,
+  &:focus,
+  &:active {
+    @content;
+  }
+}
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/bslib/lib/bs4/scss/mixins/_grid.scss
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/bslib/lib/bs4/scss/mixins/_grid.scss	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/bslib/lib/bs4/scss/mixins/_grid.scss	(revision 3761)
@@ -0,0 +1,74 @@
+/// Grid system
+//
+// Generate semantic grid columns with these mixins.
+
+@mixin make-container($gutter: $grid-gutter-width) {
+  width: 100%;
+  padding-right: $gutter / 2;
+  padding-left: $gutter / 2;
+  margin-right: auto;
+  margin-left: auto;
+}
+
+@mixin make-row($gutter: $grid-gutter-width) {
+  display: flex;
+  display: -webkit-flex;
+  flex-wrap: wrap;
+  -webkit-flex-wrap: wrap;
+  margin-right: -$gutter / 2;
+  margin-left: -$gutter / 2;
+}
+
+// For each breakpoint, define the maximum width of the container in a media query
+@mixin make-container-max-widths($max-widths: $container-max-widths, $breakpoints: $grid-breakpoints) {
+  @each $breakpoint, $container-max-width in $max-widths {
+    @include media-breakpoint-up($breakpoint, $breakpoints) {
+      max-width: $container-max-width;
+    }
+  }
+  @include deprecate("The `make-container-max-widths` mixin", "v4.5.2", "v5");
+}
+
+@mixin make-col-ready($gutter: $grid-gutter-width) {
+  position: relative;
+  // Prevent columns from becoming too narrow when at smaller grid tiers by
+  // always setting `width: 100%;`. This works because we use `flex` values
+  // later on to override this initial width.
+  width: 100%;
+  padding-right: $gutter / 2;
+  padding-left: $gutter / 2;
+}
+
+@mixin make-col($size, $columns: $grid-columns) {
+  flex: 0 0 percentage($size / $columns);
+  -webkit-flex: 0 0 percentage($size / $columns);
+  // Add a `max-width` to ensure content within each column does not blow out
+  // the width of the column. Applies to IE10+ and Firefox. Chrome and Safari
+  // do not appear to require this.
+  max-width: percentage($size / $columns);
+}
+
+@mixin make-col-auto() {
+  flex: 0 0 auto;
+  -webkit-flex: 0 0 auto;
+  width: auto;
+  max-width: 100%; // Reset earlier grid tiers
+}
+
+@mixin make-col-offset($size, $columns: $grid-columns) {
+  $num: $size / $columns;
+  margin-left: if($num == 0, 0, percentage($num));
+}
+
+// Row columns
+//
+// Specify on a parent element(e.g., .row) to force immediate children into NN
+// numberof columns. Supports wrapping to new lines, but does not do a Masonry
+// style grid.
+@mixin row-cols($count) {
+  > * {
+    flex: 0 0 100% / $count;
+    -webkit-flex: 0 0 100% / $count;
+    max-width: 100% / $count;
+  }
+}
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/bslib/lib/bs4/scss/mixins/_forms.scss
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/bslib/lib/bs4/scss/mixins/_forms.scss	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/bslib/lib/bs4/scss/mixins/_forms.scss	(revision 3761)
@@ -0,0 +1,185 @@
+// Form control focus state
+//
+// Generate a customized focus state and for any input with the specified color,
+// which defaults to the `$input-focus-border-color` variable.
+//
+// We highly encourage you to not customize the default value, but instead use
+// this to tweak colors on an as-needed basis. This aesthetic change is based on
+// WebKit's default styles, but applicable to a wider range of browsers. Its
+// usability and accessibility should be taken into account with any change.
+//
+// Example usage: change the default blue border and shadow to white for better
+// contrast against a dark gray background.
+@mixin form-control-focus($ignore-warning: false) {
+  &:focus {
+    color: $input-focus-color;
+    background-color: $input-focus-bg;
+    border-color: $input-focus-border-color;
+    outline: 0;
+    @if $enable-shadows {
+      @include box-shadow($input-box-shadow, $input-focus-box-shadow);
+    } @else {
+      // Avoid using mixin so we can pass custom focus shadow properly
+      box-shadow: $input-focus-box-shadow;
+    }
+  }
+  @include deprecate("The `form-control-focus()` mixin", "v4.4.0", "v5", $ignore-warning);
+}
+
+// This mixin uses an `if()` technique to be compatible with Dart Sass
+// See https://github.com/sass/sass/issues/1873#issuecomment-152293725 for more details
+@mixin form-validation-state-selector($state) {
+  @if ($state == "valid" or $state == "invalid") {
+    .was-validated #{if(&, "&", "")}:#{$state},
+    #{if(&, "&", "")}.is-#{$state} {
+      @content;
+    }
+  } @else {
+    #{if(&, "&", "")}.is-#{$state} {
+      @content;
+    }
+  }
+}
+
+@mixin form-validation-state($state, $color, $icon) {
+  .#{$state}-feedback {
+    display: none;
+    width: 100%;
+    margin-top: $form-feedback-margin-top;
+    @include font-size($form-feedback-font-size);
+    color: $color;
+  }
+
+  .#{$state}-tooltip {
+    position: absolute;
+    top: 100%;
+    left: 0;
+    z-index: 5;
+    display: none;
+    max-width: 100%; // Contain to parent when possible
+    padding: $form-feedback-tooltip-padding-y $form-feedback-tooltip-padding-x;
+    margin-top: .1rem;
+    @include font-size($form-feedback-tooltip-font-size);
+    line-height: $form-feedback-tooltip-line-height;
+    color: color-contrast($color);
+    background-color: rgba($color, $form-feedback-tooltip-opacity);
+    @include border-radius($form-feedback-tooltip-border-radius);
+
+    // See https://github.com/twbs/bootstrap/pull/31557
+    // Align tooltip to form elements
+    .form-row > .col > &,
+    .form-row > [class*="col-"] > & {
+      left: $form-grid-gutter-width / 2;
+    }
+  }
+
+  @include form-validation-state-selector($state) {
+    ~ .#{$state}-feedback,
+    ~ .#{$state}-tooltip {
+      display: block;
+    }
+  }
+
+  .form-control {
+    @include form-validation-state-selector($state) {
+      border-color: $color;
+
+      @if $enable-validation-icons {
+        padding-right: $input-height-inner;
+        background-image: escape-svg($icon);
+        background-repeat: no-repeat;
+        background-position: right $input-height-inner-quarter center;
+        background-size: $input-height-inner-half $input-height-inner-half;
+      }
+
+      &:focus {
+        border-color: $color;
+        box-shadow: 0 0 0 $input-focus-width rgba($color, .25);
+      }
+    }
+  }
+
+  // stylelint-disable-next-line selector-no-qualifying-type
+  textarea.form-control {
+    @include form-validation-state-selector($state) {
+      @if $enable-validation-icons {
+        padding-right: $input-height-inner;
+        background-position: top $input-height-inner-quarter right $input-height-inner-quarter;
+      }
+    }
+  }
+
+  .custom-select {
+    @include form-validation-state-selector($state) {
+      border-color: $color;
+
+      @if $enable-validation-icons {
+        padding-right: $custom-select-feedback-icon-padding-right;
+        background: $custom-select-background, $custom-select-bg escape-svg($icon) $custom-select-feedback-icon-position / $custom-select-feedback-icon-size no-repeat;
+      }
+
+      &:focus {
+        border-color: $color;
+        box-shadow: 0 0 0 $input-focus-width rgba($color, .25);
+      }
+    }
+  }
+
+  .form-check-input {
+    @include form-validation-state-selector($state) {
+      ~ .form-check-label {
+        color: $color;
+      }
+
+      ~ .#{$state}-feedback,
+      ~ .#{$state}-tooltip {
+        display: block;
+      }
+    }
+  }
+
+  .custom-control-input {
+    @include form-validation-state-selector($state) {
+      ~ .custom-control-label {
+        color: $color;
+
+        &::before {
+          border-color: $color;
+        }
+      }
+
+      &:checked {
+        ~ .custom-control-label::before {
+          border-color: lighten($color, 10%);
+          @include gradient-bg(lighten($color, 10%));
+        }
+      }
+
+      &:focus {
+        ~ .custom-control-label::before {
+          box-shadow: 0 0 0 $input-focus-width rgba($color, .25);
+        }
+
+        &:not(:checked) ~ .custom-control-label::before {
+          border-color: $color;
+        }
+      }
+    }
+  }
+
+  // custom file
+  .custom-file-input {
+    @include form-validation-state-selector($state) {
+      ~ .custom-file-label {
+        border-color: $color;
+      }
+
+      &:focus {
+        ~ .custom-file-label {
+          border-color: $color;
+          box-shadow: 0 0 0 $input-focus-width rgba($color, .25);
+        }
+      }
+    }
+  }
+}
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/bslib/lib/bs4/scss/mixins/_visibility.scss
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/bslib/lib/bs4/scss/mixins/_visibility.scss	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/bslib/lib/bs4/scss/mixins/_visibility.scss	(revision 3761)
@@ -0,0 +1,8 @@
+// stylelint-disable declaration-no-important
+
+// Visibility
+
+@mixin invisible($visibility) {
+  visibility: $visibility !important;
+  @include deprecate("`invisible()`", "v4.3.0", "v5");
+}
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/bslib/lib/bs4/scss/mixins/_pagination.scss
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/bslib/lib/bs4/scss/mixins/_pagination.scss	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/bslib/lib/bs4/scss/mixins/_pagination.scss	(revision 3761)
@@ -0,0 +1,22 @@
+// Pagination
+
+@mixin pagination-size($padding-y, $padding-x, $font-size, $line-height, $border-radius) {
+  .page-link {
+    padding: $padding-y $padding-x;
+    @include font-size($font-size);
+    line-height: $line-height;
+  }
+
+  .page-item {
+    &:first-child {
+      .page-link {
+        @include border-left-radius($border-radius);
+      }
+    }
+    &:last-child {
+      .page-link {
+        @include border-right-radius($border-radius);
+      }
+    }
+  }
+}
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/bslib/lib/bs4/scss/mixins/_transition.scss
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/bslib/lib/bs4/scss/mixins/_transition.scss	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/bslib/lib/bs4/scss/mixins/_transition.scss	(revision 3761)
@@ -0,0 +1,26 @@
+// stylelint-disable property-disallowed-list
+@mixin transition($transition...) {
+  @if length($transition) == 0 {
+    $transition: $transition-base;
+  }
+
+  @if length($transition) > 1 {
+    @each $value in $transition {
+      @if $value == null or $value == none {
+        @warn "The keyword 'none' or 'null' must be used as a single argument.";
+      }
+    }
+  }
+
+  @if $enable-transitions {
+    @if nth($transition, 1) != null {
+      transition: $transition;
+    }
+
+    @if $enable-prefers-reduced-motion-media-query and nth($transition, 1) != null and nth($transition, 1) != none {
+      @media (prefers-reduced-motion: reduce) {
+        transition: none;
+      }
+    }
+  }
+}
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/bslib/lib/bs4/scss/mixins/_text-hide.scss
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/bslib/lib/bs4/scss/mixins/_text-hide.scss	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/bslib/lib/bs4/scss/mixins/_text-hide.scss	(revision 3761)
@@ -0,0 +1,11 @@
+// CSS image replacement
+@mixin text-hide($ignore-warning: false) {
+  // stylelint-disable-next-line font-family-no-missing-generic-family-keyword
+  font: 0/0 a;
+  color: transparent;
+  text-shadow: none;
+  background-color: transparent;
+  border: 0;
+
+  @include deprecate("`text-hide()`", "v4.1.0", "v5", $ignore-warning);
+}
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/bslib/lib/bs4/scss/mixins/_text-emphasis.scss
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/bslib/lib/bs4/scss/mixins/_text-emphasis.scss	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/bslib/lib/bs4/scss/mixins/_text-emphasis.scss	(revision 3761)
@@ -0,0 +1,17 @@
+// stylelint-disable declaration-no-important
+
+// Typography
+
+@mixin text-emphasis-variant($parent, $color, $ignore-warning: false) {
+  #{$parent} {
+    color: $color !important;
+  }
+  @if $emphasized-link-hover-darken-percentage != 0 {
+    a#{$parent} {
+      @include hover-focus() {
+        color: darken($color, $emphasized-link-hover-darken-percentage) !important;
+      }
+    }
+  }
+  @include deprecate("`text-emphasis-variant()`", "v4.4.0", "v5", $ignore-warning);
+}
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/bslib/lib/bs4/scss/mixins/_table-row.scss
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/bslib/lib/bs4/scss/mixins/_table-row.scss	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/bslib/lib/bs4/scss/mixins/_table-row.scss	(revision 3761)
@@ -0,0 +1,39 @@
+// Tables
+
+@mixin table-row-variant($state, $background, $border: null) {
+  // Exact selectors below required to override `.table-striped` and prevent
+  // inheritance to nested tables.
+  .table-#{$state} {
+    &,
+    > th,
+    > td {
+      background-color: $background;
+    }
+
+    @if $border != null {
+      th,
+      td,
+      thead th,
+      tbody + tbody {
+        border-color: $border;
+      }
+    }
+  }
+
+  // Hover states for `.table-hover`
+  // Note: this is not available for cells or rows within `thead` or `tfoot`.
+  .table-hover {
+    $hover-background: darken($background, 5%);
+
+    .table-#{$state} {
+      @include hover() {
+        background-color: $hover-background;
+
+        > td,
+        > th {
+          background-color: $hover-background;
+        }
+      }
+    }
+  }
+}
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/bslib/lib/bs4/scss/mixins/_deprecate.scss
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/bslib/lib/bs4/scss/mixins/_deprecate.scss	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/bslib/lib/bs4/scss/mixins/_deprecate.scss	(revision 3761)
@@ -0,0 +1,10 @@
+// Deprecate mixin
+//
+// This mixin can be used to deprecate mixins or functions.
+// `$enable-deprecation-messages` is a global variable, `$ignore-warning` is a variable that can be passed to
+// some deprecated mixins to suppress the warning (for example if the mixin is still be used in the current version of Bootstrap)
+@mixin deprecate($name, $deprecate-version, $remove-version, $ignore-warning: false) {
+  @if ($enable-deprecation-messages != false and $ignore-warning != true) {
+    @warn "#{$name} has been deprecated as of #{$deprecate-version}. It will be removed entirely in #{$remove-version}.";
+  }
+}
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/bslib/lib/bs4/scss/mixins/_clearfix.scss
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/bslib/lib/bs4/scss/mixins/_clearfix.scss	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/bslib/lib/bs4/scss/mixins/_clearfix.scss	(revision 3761)
@@ -0,0 +1,7 @@
+@mixin clearfix() {
+  &::after {
+    display: block;
+    clear: both;
+    content: "";
+  }
+}
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/bslib/lib/bs4/scss/mixins/_caret.scss
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/bslib/lib/bs4/scss/mixins/_caret.scss	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/bslib/lib/bs4/scss/mixins/_caret.scss	(revision 3761)
@@ -0,0 +1,62 @@
+@mixin caret-down() {
+  border-top: $caret-width solid;
+  border-right: $caret-width solid transparent;
+  border-bottom: 0;
+  border-left: $caret-width solid transparent;
+}
+
+@mixin caret-up() {
+  border-top: 0;
+  border-right: $caret-width solid transparent;
+  border-bottom: $caret-width solid;
+  border-left: $caret-width solid transparent;
+}
+
+@mixin caret-right() {
+  border-top: $caret-width solid transparent;
+  border-right: 0;
+  border-bottom: $caret-width solid transparent;
+  border-left: $caret-width solid;
+}
+
+@mixin caret-left() {
+  border-top: $caret-width solid transparent;
+  border-right: $caret-width solid;
+  border-bottom: $caret-width solid transparent;
+}
+
+@mixin caret($direction: down) {
+  @if $enable-caret {
+    &::after {
+      display: inline-block;
+      margin-left: $caret-spacing;
+      vertical-align: $caret-vertical-align;
+      content: "";
+      @if $direction == down {
+        @include caret-down();
+      } @else if $direction == up {
+        @include caret-up();
+      } @else if $direction == right {
+        @include caret-right();
+      }
+    }
+
+    @if $direction == left {
+      &::after {
+        display: none;
+      }
+
+      &::before {
+        display: inline-block;
+        margin-right: $caret-spacing;
+        vertical-align: $caret-vertical-align;
+        content: "";
+        @include caret-left();
+      }
+    }
+
+    &:empty::after {
+      margin-left: 0;
+    }
+  }
+}
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/bslib/lib/bs4/scss/mixins/_buttons.scss
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/bslib/lib/bs4/scss/mixins/_buttons.scss	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/bslib/lib/bs4/scss/mixins/_buttons.scss	(revision 3761)
@@ -0,0 +1,111 @@
+// Button variants
+//
+// Easily pump out default styles, as well as :hover, :focus, :active,
+// and disabled options for all buttons
+
+@mixin button-variant($background, $border, $hover-background: darken($background, 7.5%), $hover-border: darken($border, 10%), $active-background: darken($background, 10%), $active-border: darken($border, 12.5%)) {
+  color: color-contrast($background);
+  @include gradient-bg($background);
+  border-color: $border;
+  @include box-shadow($btn-box-shadow);
+
+  @include hover() {
+    color: color-contrast($hover-background);
+    @include gradient-bg($hover-background);
+    border-color: $hover-border;
+  }
+
+  &:focus,
+  &.focus {
+    color: color-contrast($hover-background);
+    @include gradient-bg($hover-background);
+    border-color: $hover-border;
+    @if $enable-shadows {
+      @include box-shadow($btn-box-shadow, 0 0 0 $btn-focus-width rgba(mix(color-contrast($background), $border, 15%), .5));
+    } @else {
+      // Avoid using mixin so we can pass custom focus shadow properly
+      box-shadow: 0 0 0 $btn-focus-width rgba(mix(color-contrast($background), $border, 15%), .5);
+    }
+  }
+
+  // Disabled comes first so active can properly restyle
+  &.disabled,
+  &:disabled {
+    color: color-contrast($background);
+    background-color: $background;
+    border-color: $border;
+    // Remove CSS gradients if they're enabled
+    @if $enable-gradients {
+      background-image: none;
+    }
+  }
+
+  &:not(:disabled):not(.disabled):active,
+  &:not(:disabled):not(.disabled).active,
+  .show > &.dropdown-toggle {
+    color: color-contrast($active-background);
+    background-color: $active-background;
+    @if $enable-gradients {
+      background-image: none; // Remove the gradient for the pressed/active state
+    }
+    border-color: $active-border;
+
+    &:focus {
+      @if $enable-shadows and $btn-active-box-shadow != none {
+        @include box-shadow($btn-active-box-shadow, 0 0 0 $btn-focus-width rgba(mix(color-contrast($background), $border, 15%), .5));
+      } @else {
+        // Avoid using mixin so we can pass custom focus shadow properly
+        box-shadow: 0 0 0 $btn-focus-width rgba(mix(color-contrast($background), $border, 15%), .5);
+      }
+    }
+  }
+}
+
+@mixin button-outline-variant($color, $color-hover: color-contrast($color), $active-background: $color, $active-border: $color) {
+  color: $color;
+  border-color: $color;
+  background-color: transparent;
+
+  @include hover() {
+    color: $color-hover;
+    background-color: $active-background;
+    border-color: $active-border;
+  }
+
+  &:focus,
+  &.focus {
+    box-shadow: 0 0 0 $btn-focus-width rgba($color, .5);
+  }
+
+  &.disabled,
+  &:disabled {
+    color: $color;
+    background-color: transparent;
+  }
+
+  &:not(:disabled):not(.disabled):active,
+  &:not(:disabled):not(.disabled).active,
+  .show > &.dropdown-toggle {
+    color: color-contrast($active-background);
+    background-color: $active-background;
+    border-color: $active-border;
+
+    &:focus {
+      @if $enable-shadows and $btn-active-box-shadow != none {
+        @include box-shadow($btn-active-box-shadow, 0 0 0 $btn-focus-width rgba($color, .5));
+      } @else {
+        // Avoid using mixin so we can pass custom focus shadow properly
+        box-shadow: 0 0 0 $btn-focus-width rgba($color, .5);
+      }
+    }
+  }
+}
+
+// Button sizes
+@mixin button-size($padding-y, $padding-x, $font-size, $line-height, $border-radius) {
+  padding: $padding-y $padding-x;
+  @include font-size($font-size);
+  line-height: $line-height;
+  // Manually declare to provide an override to the browser default
+  @include border-radius($border-radius, 0);
+}
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/bslib/lib/bs4/scss/mixins/_lists.scss
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/bslib/lib/bs4/scss/mixins/_lists.scss	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/bslib/lib/bs4/scss/mixins/_lists.scss	(revision 3761)
@@ -0,0 +1,7 @@
+// Lists
+
+// Unstyled keeps list items block level, just removes default browser padding and list-style
+@mixin list-unstyled() {
+  padding-left: 0;
+  list-style: none;
+}
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/bslib/lib/bs4/scss/mixins/_resize.scss
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/bslib/lib/bs4/scss/mixins/_resize.scss	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/bslib/lib/bs4/scss/mixins/_resize.scss	(revision 3761)
@@ -0,0 +1,6 @@
+// Resize anything
+
+@mixin resizable($direction) {
+  overflow: auto; // Per CSS3 UI, `resize` only applies when `overflow` isn't `visible`
+  resize: $direction; // Options: horizontal, vertical, both
+}
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/bslib/lib/bs4/README.md
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/bslib/lib/bs4/README.md	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/bslib/lib/bs4/README.md	(revision 3761)
@@ -0,0 +1,209 @@
+<p align="center">
+  <a href="https://getbootstrap.com/">
+    <img src="https://getbootstrap.com/docs/4.6/assets/brand/bootstrap-solid.svg" alt="Bootstrap logo" width="72" height="72">
+  </a>
+</p>
+
+<h3 align="center">Bootstrap</h3>
+
+<p align="center">
+  Sleek, intuitive, and powerful front-end framework for faster and easier web development.
+  <br>
+  <a href="https://getbootstrap.com/docs/4.6/"><strong>Explore Bootstrap docs Â»</strong></a>
+  <br>
+  <br>
+  <a href="https://github.com/twbs/bootstrap/issues/new?template=bug_report.md">Report bug</a>
+  Â·
+  <a href="https://github.com/twbs/bootstrap/issues/new?template=feature_request.md">Request feature</a>
+  Â·
+  <a href="https://themes.getbootstrap.com/">Themes</a>
+  Â·
+  <a href="https://blog.getbootstrap.com/">Blog</a>
+</p>
+
+
+## Table of contents
+
+- [Quick start](#quick-start)
+- [Status](#status)
+- [What's included](#whats-included)
+- [Bugs and feature requests](#bugs-and-feature-requests)
+- [Documentation](#documentation)
+- [Contributing](#contributing)
+- [Community](#community)
+- [Versioning](#versioning)
+- [Creators](#creators)
+- [Thanks](#thanks)
+- [Copyright and license](#copyright-and-license)
+
+
+## Quick start
+
+Several quick start options are available:
+
+- [Download the latest release.](https://github.com/twbs/bootstrap/archive/v4.6.0.zip)
+- Clone the repo: `git clone https://github.com/twbs/bootstrap.git`
+- Install with [npm](https://www.npmjs.com/): `npm install bootstrap`
+- Install with [yarn](https://yarnpkg.com/): `yarn add bootstrap@4.6.0`
+- Install with [Composer](https://getcomposer.org/): `composer require twbs/bootstrap:4.6.0`
+- Install with [NuGet](https://www.nuget.org/): CSS: `Install-Package bootstrap` Sass: `Install-Package bootstrap.sass`
+
+Read the [Getting started page](https://getbootstrap.com/docs/4.6/getting-started/introduction/) for information on the framework contents, templates and examples, and more.
+
+
+## Status
+
+[![Slack](https://bootstrap-slack.herokuapp.com/badge.svg)](https://bootstrap-slack.herokuapp.com/)
+[![Build Status](https://github.com/twbs/bootstrap/workflows/JS%20Tests/badge.svg?branch=v4-dev)](https://github.com/twbs/bootstrap/actions?query=workflow%3AJS+Tests+branch%3Av4-dev)
+[![npm version](https://img.shields.io/npm/v/bootstrap)](https://www.npmjs.com/package/bootstrap)
+[![Gem version](https://img.shields.io/gem/v/bootstrap)](https://rubygems.org/gems/bootstrap)
+[![Meteor Atmosphere](https://img.shields.io/badge/meteor-twbs%3Abootstrap-blue)](https://atmospherejs.com/twbs/bootstrap)
+[![Packagist Prerelease](https://img.shields.io/packagist/vpre/twbs/bootstrap)](https://packagist.org/packages/twbs/bootstrap)
+[![NuGet](https://img.shields.io/nuget/vpre/bootstrap)](https://www.nuget.org/packages/bootstrap/absoluteLatest)
+[![peerDependencies Status](https://img.shields.io/david/peer/twbs/bootstrap)](https://david-dm.org/twbs/bootstrap?type=peer)
+[![devDependency Status](https://img.shields.io/david/dev/twbs/bootstrap)](https://david-dm.org/twbs/bootstrap?type=dev)
+[![Coverage Status](https://img.shields.io/coveralls/github/twbs/bootstrap/v4-dev)](https://coveralls.io/github/twbs/bootstrap?branch=v4-dev)
+[![CSS gzip size](https://img.badgesize.io/twbs/bootstrap/v4-dev/dist/css/bootstrap.min.css?compression=gzip&label=CSS%20gzip%20size)](https://github.com/twbs/bootstrap/blob/v4-dev/dist/css/bootstrap.min.css)
+[![JS gzip size](https://img.badgesize.io/twbs/bootstrap/v4-dev/dist/js/bootstrap.min.js?compression=gzip&label=JS%20gzip%20size)](https://github.com/twbs/bootstrap/blob/v4-dev/dist/js/bootstrap.min.js)
+[![BrowserStack Status](https://www.browserstack.com/automate/badge.svg?badge_key=SkxZcStBeExEdVJqQ2hWYnlWckpkNmNEY213SFp6WHFETWk2bGFuY3pCbz0tLXhqbHJsVlZhQnRBdEpod3NLSDMzaHc9PQ==--3d0b75245708616eb93113221beece33e680b229)](https://www.browserstack.com/automate/public-build/SkxZcStBeExEdVJqQ2hWYnlWckpkNmNEY213SFp6WHFETWk2bGFuY3pCbz0tLXhqbHJsVlZhQnRBdEpod3NLSDMzaHc9PQ==--3d0b75245708616eb93113221beece33e680b229)
+[![Backers on Open Collective](https://img.shields.io/opencollective/backers/bootstrap)](#backers)
+[![Sponsors on Open Collective](https://img.shields.io/opencollective/sponsors/bootstrap)](#sponsors)
+
+
+## What's included
+
+Within the download you'll find the following directories and files, logically grouping common assets and providing both compiled and minified variations. You'll see something like this:
+
+```text
+bootstrap/
+â””â”€â”€ dist/
+    â”œâ”€â”€ css/
+    â”‚   â”œâ”€â”€ bootstrap-grid.css
+    â”‚   â”œâ”€â”€ bootstrap-grid.css.map
+    â”‚   â”œâ”€â”€ bootstrap-grid.min.css
+    â”‚   â”œâ”€â”€ bootstrap-grid.min.css.map
+    â”‚   â”œâ”€â”€ bootstrap-reboot.css
+    â”‚   â”œâ”€â”€ bootstrap-reboot.css.map
+    â”‚   â”œâ”€â”€ bootstrap-reboot.min.css
+    â”‚   â”œâ”€â”€ bootstrap-reboot.min.css.map
+    â”‚   â”œâ”€â”€ bootstrap.css
+    â”‚   â”œâ”€â”€ bootstrap.css.map
+    â”‚   â”œâ”€â”€ bootstrap.min.css
+    â”‚   â””â”€â”€ bootstrap.min.css.map
+    â””â”€â”€ js/
+        â”œâ”€â”€ bootstrap.bundle.js
+        â”œâ”€â”€ bootstrap.bundle.js.map
+        â”œâ”€â”€ bootstrap.bundle.min.js
+        â”œâ”€â”€ bootstrap.bundle.min.js.map
+        â”œâ”€â”€ bootstrap.js
+        â”œâ”€â”€ bootstrap.js.map
+        â”œâ”€â”€ bootstrap.min.js
+        â””â”€â”€ bootstrap.min.js.map
+```
+
+We provide compiled CSS and JS (`bootstrap.*`), as well as compiled and minified CSS and JS (`bootstrap.min.*`). [source maps](https://developers.google.com/web/tools/chrome-devtools/javascript/source-maps) (`bootstrap.*.map`) are available for use with certain browsers' developer tools. Bundled JS files (`bootstrap.bundle.js` and minified `bootstrap.bundle.min.js`) include [Popper](https://popper.js.org/), but not [jQuery](https://jquery.com/).
+
+
+## Bugs and feature requests
+
+Have a bug or a feature request? Please first read the [issue guidelines](https://github.com/twbs/bootstrap/blob/v4-dev/.github/CONTRIBUTING.md#using-the-issue-tracker) and search for existing and closed issues. If your problem or idea is not addressed yet, [please open a new issue](https://github.com/twbs/bootstrap/issues/new).
+
+
+## Documentation
+
+Bootstrap's documentation, included in this repo in the root directory, is built with [Hugo](https://gohugo.io/) and publicly hosted on GitHub Pages at <https://getbootstrap.com/>. The docs may also be run locally.
+
+Documentation search is powered by [Algolia's DocSearch](https://community.algolia.com/docsearch/). Working on our search? Be sure to set `debug: true` in `site/assets/js/search.js`.
+
+### Running documentation locally
+
+1. Run `npm install` to install the Node.js dependencies, including Hugo (the site builder).
+2. Run `npm run test` (or a specific npm script) to rebuild distributed CSS and JavaScript files, as well as our docs assets.
+3. Run `npm start` to compile CSS and JavaScript files, generate our docs, and watch for changes.
+4. Open `http://localhost:9001/` in your browser, and voilÃ .
+
+Learn more about using Hugo by reading its [documentation](https://gohugo.io/documentation/).
+
+### Documentation for previous releases
+
+You can find all our previous releases docs on <https://getbootstrap.com/docs/versions/>.
+
+[Previous releases](https://github.com/twbs/bootstrap/releases) and their documentation are also available for download.
+
+
+## Contributing
+
+Please read through our [contributing guidelines](https://github.com/twbs/bootstrap/blob/v4-dev/.github/CONTRIBUTING.md). Included are directions for opening issues, coding standards, and notes on development.
+
+Moreover, if your pull request contains JavaScript patches or features, you must include [relevant unit tests](https://github.com/twbs/bootstrap/tree/v4-dev/js/tests). All HTML and CSS should conform to the [Code Guide](https://github.com/mdo/code-guide), maintained by [Mark Otto](https://github.com/mdo).
+
+Editor preferences are available in the [editor config](https://github.com/twbs/bootstrap/blob/v4-dev/.editorconfig) for easy use in common text editors. Read more and download plugins at <https://editorconfig.org/>.
+
+
+## Community
+
+Get updates on Bootstrap's development and chat with the project maintainers and community members.
+
+- Follow [@getbootstrap on Twitter](https://twitter.com/getbootstrap).
+- Read and subscribe to [The Official Bootstrap Blog](https://blog.getbootstrap.com/).
+- Join [the official Slack room](https://bootstrap-slack.herokuapp.com/).
+- Chat with fellow Bootstrappers in IRC. On the `irc.freenode.net` server, in the `##bootstrap` channel.
+- Implementation help may be found at Stack Overflow (tagged [`bootstrap-4`](https://stackoverflow.com/questions/tagged/bootstrap-4)).
+- Developers should use the keyword `bootstrap` on packages which modify or add to the functionality of Bootstrap when distributing through [npm](https://www.npmjs.com/browse/keyword/bootstrap) or similar delivery mechanisms for maximum discoverability.
+
+
+## Versioning
+
+For transparency into our release cycle and in striving to maintain backward compatibility, Bootstrap is maintained under [the Semantic Versioning guidelines](https://semver.org/). Sometimes we screw up, but we adhere to those rules whenever possible.
+
+See [the Releases section of our GitHub project](https://github.com/twbs/bootstrap/releases) for changelogs for each release version of Bootstrap. Release announcement posts on [the official Bootstrap blog](https://blog.getbootstrap.com/) contain summaries of the most noteworthy changes made in each release.
+
+
+## Creators
+
+**Mark Otto**
+
+- <https://twitter.com/mdo>
+- <https://github.com/mdo>
+
+**Jacob Thornton**
+
+- <https://twitter.com/fat>
+- <https://github.com/fat>
+
+
+## Thanks
+
+<a href="https://www.browserstack.com/">
+  <img src="https://live.browserstack.com/images/opensource/browserstack-logo.svg" alt="BrowserStack Logo" width="192" height="42">
+</a>
+
+Thanks to [BrowserStack](https://www.browserstack.com/) for providing the infrastructure that allows us to test in real browsers!
+
+
+## Sponsors
+
+Support this project by becoming a sponsor. Your logo will show up here with a link to your website. [[Become a sponsor](https://opencollective.com/bootstrap#sponsor)]
+
+[![](https://opencollective.com/bootstrap/sponsor/0/avatar.svg)](https://opencollective.com/bootstrap/sponsor/0/website)
+[![](https://opencollective.com/bootstrap/sponsor/1/avatar.svg)](https://opencollective.com/bootstrap/sponsor/1/website)
+[![](https://opencollective.com/bootstrap/sponsor/2/avatar.svg)](https://opencollective.com/bootstrap/sponsor/2/website)
+[![](https://opencollective.com/bootstrap/sponsor/3/avatar.svg)](https://opencollective.com/bootstrap/sponsor/3/website)
+[![](https://opencollective.com/bootstrap/sponsor/4/avatar.svg)](https://opencollective.com/bootstrap/sponsor/4/website)
+[![](https://opencollective.com/bootstrap/sponsor/5/avatar.svg)](https://opencollective.com/bootstrap/sponsor/5/website)
+[![](https://opencollective.com/bootstrap/sponsor/6/avatar.svg)](https://opencollective.com/bootstrap/sponsor/6/website)
+[![](https://opencollective.com/bootstrap/sponsor/7/avatar.svg)](https://opencollective.com/bootstrap/sponsor/7/website)
+[![](https://opencollective.com/bootstrap/sponsor/8/avatar.svg)](https://opencollective.com/bootstrap/sponsor/8/website)
+[![](https://opencollective.com/bootstrap/sponsor/9/avatar.svg)](https://opencollective.com/bootstrap/sponsor/9/website)
+
+
+## Backers
+
+Thank you to all our backers! ðŸ™� [[Become a backer](https://opencollective.com/bootstrap#backer)]
+
+[![Backers](https://opencollective.com/bootstrap/backers.svg?width=890)](https://opencollective.com/bootstrap#backers)
+
+
+## Copyright and license
+
+Code and documentation copyright 2011-2021 the [Bootstrap Authors](https://github.com/twbs/bootstrap/graphs/contributors) and [Twitter, Inc.](https://twitter.com) Code released under the [MIT License](https://github.com/twbs/bootstrap/blob/main/LICENSE). Docs released under [Creative Commons](https://creativecommons.org/licenses/by/3.0/).
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/bslib/lib/bs4/LICENSE
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/bslib/lib/bs4/LICENSE	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/bslib/lib/bs4/LICENSE	(revision 3761)
@@ -0,0 +1,22 @@
+The MIT License (MIT)
+
+Copyright (c) 2011-2021 Twitter, Inc.
+Copyright (c) 2011-2021 The Bootstrap Authors
+
+Permission is hereby granted, free of charge, to any person obtaining a copy
+of this software and associated documentation files (the "Software"), to deal
+in the Software without restriction, including without limitation the rights
+to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
+copies of the Software, and to permit persons to whom the Software is
+furnished to do so, subject to the following conditions:
+
+The above copyright notice and this permission notice shall be included in
+all copies or substantial portions of the Software.
+
+THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN
+THE SOFTWARE.
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/bslib/lib/bs4/package.json
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/bslib/lib/bs4/package.json	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/bslib/lib/bs4/package.json	(revision 3761)
@@ -0,0 +1,108 @@
+{
+  "name": "bootstrap",
+  "description": "The most popular front-end framework for developing responsive, mobile first projects on the web.",
+  "version": "4.6.0",
+  "config": {
+    "version_short": "4.6"
+  },
+  "keywords": ["css", "sass", "mobile-first", "responsive", "front-end", "framework", "web"],
+  "homepage": "https://getbootstrap.com/",
+  "author": "The Bootstrap Authors (https://github.com/twbs/bootstrap/graphs/contributors)",
+  "contributors": "Twitter, Inc.",
+  "scripts": {
+    "start": "npm-run-all --parallel watch docs-serve",
+    "bundlewatch": "bundlewatch --config .bundlewatch.config.json",
+    "css": "npm-run-all css-compile css-prefix css-minify",
+    "css-compile": "node-sass --output-style expanded --source-map true --source-map-contents true --precision 6 scss/ -o dist/css/",
+    "css-lint": "npm-run-all --continue-on-error --parallel css-lint-*",
+    "css-lint-stylelint": "stylelint \"**/*.{css,scss}\" --cache --cache-location .cache/.stylelintcache --rd",
+    "css-lint-vars": "fusv scss/ site/assets/scss/",
+    "css-minify": "cleancss -O1 --format breakWith=lf --source-map --source-map-inline-sources --output dist/css/bootstrap.min.css dist/css/bootstrap.css && cleancss -O1 --format breakWith=lf --source-map --source-map-inline-sources --output dist/css/bootstrap-grid.min.css dist/css/bootstrap-grid.css && cleancss -O1 --format breakWith=lf --source-map --source-map-inline-sources --output dist/css/bootstrap-reboot.min.css dist/css/bootstrap-reboot.css",
+    "css-prefix": "npm-run-all --parallel css-prefix-*",
+    "css-prefix-main": "postcss --config build/postcss.config.js --replace \"dist/css/*.css\" \"!dist/css/*.min.css\"",
+    "css-prefix-examples": "postcss --config build/postcss.config.js --replace \"site/content/**/*.css\"",
+    "js": "npm-run-all js-compile js-minify",
+    "js-compile": "npm-run-all --parallel js-compile-*",
+    "js-compile-standalone": "rollup --environment BUNDLE:false --config build/rollup.config.js --sourcemap",
+    "js-compile-bundle": "rollup --environment BUNDLE:true --config build/rollup.config.js --sourcemap",
+    "js-compile-plugins": "node build/build-plugins.js",
+    "js-compile-plugins-coverage": "cross-env NODE_ENV=test node build/build-plugins.js",
+    "js-lint": "eslint --cache --cache-location .cache/.eslintcache --report-unused-disable-directives .",
+    "js-minify": "npm-run-all --parallel js-minify-*",
+    "js-minify-standalone": "terser --compress typeofs=false --mangle --comments \"/^!/\" --source-map \"content=dist/js/bootstrap.js.map,includeSources,url=bootstrap.min.js.map\" --output dist/js/bootstrap.min.js dist/js/bootstrap.js",
+    "js-minify-bundle": "terser --compress typeofs=false --mangle --comments \"/^!/\" --source-map \"content=dist/js/bootstrap.bundle.js.map,includeSources,url=bootstrap.bundle.min.js.map\" --output dist/js/bootstrap.bundle.min.js dist/js/bootstrap.bundle.js",
+    "js-test": "npm-run-all --parallel js-test-karma* --serial js-test-integration",
+    "js-test-karma": "karma start js/tests/karma.conf.js",
+    "js-test-karma-old": "cross-env USE_OLD_JQUERY=true npm run js-test-karma",
+    "js-test-karma-bundle": "cross-env BUNDLE=true npm run js-test-karma",
+    "js-test-karma-bundle-old": "cross-env BUNDLE=true USE_OLD_JQUERY=true npm run js-test-karma",
+    "js-test-integration": "rollup --config js/tests/integration/rollup.bundle.js",
+    "js-test-cloud": "cross-env BROWSERSTACK=true npm run js-test-karma",
+    "lint": "npm-run-all --parallel js-lint css-lint lockfile-lint",
+    "docs": "npm-run-all docs-build docs-lint",
+    "docs-build": "hugo --cleanDestinationDir",
+    "docs-compile": "npm run docs-build",
+    "docs-linkinator": "linkinator _gh_pages --recurse --silent --skip \"^(?!http://localhost)\"",
+    "docs-vnu": "node build/vnu-jar.js",
+    "docs-lint": "npm-run-all --parallel docs-vnu docs-linkinator",
+    "docs-serve": "hugo server --port 9001 --disableFastRender",
+    "docs-serve-only": "npx sirv-cli _gh_pages --port 9001",
+    "lockfile-lint": "lockfile-lint --allowed-hosts npm --allowed-schemes https: --empty-hostname false --type npm --path package-lock.json",
+    "update-deps": "ncu -u -x \"jquery,karma-browserstack-launcher,sinon,terser\" && npm update && echo Manually update site/assets/js/vendor",
+    "release": "npm-run-all dist release-sri docs-build release-zip*",
+    "release-sri": "node build/generate-sri.js",
+    "release-version": "node build/change-version.js",
+    "release-zip": "cross-env-shell \"rm -rf bootstrap-$npm_package_version-dist && cp -r dist/ bootstrap-$npm_package_version-dist && zip -r9 bootstrap-$npm_package_version-dist.zip bootstrap-$npm_package_version-dist && rm -rf bootstrap-$npm_package_version-dist\"",
+    "release-zip-examples": "node build/zip-examples.js",
+    "dist": "npm-run-all --parallel css js",
+    "test": "npm-run-all lint dist js-test docs-build docs-lint",
+    "netlify": "cross-env-shell HUGO_BASEURL=$DEPLOY_PRIME_URL npm-run-all dist release-sri docs-build",
+    "watch": "npm-run-all --parallel watch-*",
+    "watch-css-main": "nodemon --watch scss/ --ext scss --exec \"npm-run-all css-lint css-compile css-prefix\"",
+    "watch-css-docs": "nodemon --watch site/assets/scss/ --ext scss --exec \"npm run css-lint\"",
+    "watch-js-main": "nodemon --watch js/src/ --ext js --exec \"npm-run-all js-lint js-compile\"",
+    "watch-js-docs": "nodemon --watch site/assets/js/ --ext js --exec \"npm run js-lint\""
+  },
+  "style": "dist/css/bootstrap.css",
+  "sass": "scss/bootstrap.scss",
+  "main": "dist/js/bootstrap.js",
+  "repository": {
+    "type": "git",
+    "url": "git+https://github.com/twbs/bootstrap.git"
+  },
+  "bugs": {
+    "url": "https://github.com/twbs/bootstrap/issues"
+  },
+  "license": "MIT",
+  "funding": {
+    "type": "opencollective",
+    "url": "https://opencollective.com/bootstrap"
+  },
+  "dependencies": {},
+  "peerDependencies": {
+    "jquery": "1.9.1 - 3",
+    "popper.js": "^1.16.1"
+  },
+  "files": ["dist/{css,js}/*.{css,js,map}", "js/{src,dist}/**/*.{js,map}", "scss/**/*.scss"],
+  "hugo-bin": {
+    "buildTags": "extended"
+  },
+  "jspm": {
+    "registry": "npm",
+    "main": "js/bootstrap",
+    "directories": {
+      "lib": "dist"
+    },
+    "shim": {
+      "js/bootstrap": {
+        "deps": ["jquery", "popper.js"],
+        "exports": "$"
+      }
+    },
+    "dependencies": {},
+    "peerDependencies": {
+      "jquery": "1.9.1 - 3",
+      "popper.js": "^1.16.1"
+    }
+  }
+}
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/bslib/lib/bs5/dist/js/bootstrap.bundle.min.js.map
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/bslib/lib/bs5/dist/js/bootstrap.bundle.min.js.map	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/bslib/lib/bs5/dist/js/bootstrap.bundle.min.js.map	(revision 3761)
@@ -0,0 +1 @@
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If a \"real\" URL is used as the selector,\n    // `document.querySelector` will rightfully complain it is invalid.\n    // See https://github.com/twbs/bootstrap/issues/32273\n    if (!hrefAttribute || (!hrefAttribute.includes('#') && !hrefAttribute.startsWith('.'))) {\n      return null\n    }\n\n    // Just in case some CMS puts out a full URL with the anchor appended\n    if (hrefAttribute.includes('#') && !hrefAttribute.startsWith('#')) {\n      hrefAttribute = `#${hrefAttribute.split('#')[1]}`\n    }\n\n    selector = hrefAttribute && hrefAttribute !== '#' ? hrefAttribute.trim() : null\n  }\n\n  return selector\n}\n\nconst getSelectorFromElement = element => {\n  const selector = getSelector(element)\n\n  if (selector) {\n    return document.querySelector(selector) ? selector : null\n  }\n\n  return null\n}\n\nconst getElementFromSelector = element => {\n  const selector = getSelector(element)\n\n  return selector ? document.querySelector(selector) : null\n}\n\nconst getTransitionDurationFromElement = element => {\n  if (!element) {\n    return 0\n  }\n\n  // Get transition-duration of the element\n  let { transitionDuration, transitionDelay } = window.getComputedStyle(element)\n\n  const floatTransitionDuration = Number.parseFloat(transitionDuration)\n  const floatTransitionDelay = Number.parseFloat(transitionDelay)\n\n  // Return 0 if element or transition duration is not found\n  if (!floatTransitionDuration && !floatTransitionDelay) {\n    return 0\n  }\n\n  // If multiple durations are defined, take the first\n  transitionDuration = transitionDuration.split(',')[0]\n  transitionDelay = transitionDelay.split(',')[0]\n\n  return (Number.parseFloat(transitionDuration) + Number.parseFloat(transitionDelay)) * MILLISECONDS_MULTIPLIER\n}\n\nconst triggerTransitionEnd = element => {\n  element.dispatchEvent(new Event(TRANSITION_END))\n}\n\nconst isElement = object => {\n  if (!object || typeof object !== 'object') {\n    return false\n  }\n\n  if (typeof object.jquery !== 'undefined') {\n    object = object[0]\n  }\n\n  return typeof object.nodeType !== 'undefined'\n}\n\nconst getElement = object => {\n  // it's a jQuery object or a node element\n  if (isElement(object)) {\n    return object.jquery ? object[0] : object\n  }\n\n  if (typeof object === 'string' && object.length > 0) {\n    return document.querySelector(object)\n  }\n\n  return null\n}\n\nconst isVisible = element => {\n  if (!isElement(element) || element.getClientRects().length === 0) {\n    return false\n  }\n\n  const elementIsVisible = getComputedStyle(element).getPropertyValue('visibility') === 'visible'\n  // Handle `details` element as its content may falsie appear visible when it is closed\n  const closedDetails = element.closest('details:not([open])')\n\n  if (!closedDetails) {\n    return elementIsVisible\n  }\n\n  if (closedDetails !== element) {\n    const summary = element.closest('summary')\n    if (summary && summary.parentNode !== closedDetails) {\n      return false\n    }\n\n    if (summary === null) {\n      return false\n    }\n  }\n\n  return elementIsVisible\n}\n\nconst isDisabled = element => {\n  if (!element || element.nodeType !== Node.ELEMENT_NODE) {\n    return true\n  }\n\n  if (element.classList.contains('disabled')) {\n    return true\n  }\n\n  if (typeof element.disabled !== 'undefined') {\n    return element.disabled\n  }\n\n  return element.hasAttribute('disabled') && element.getAttribute('disabled') !== 'false'\n}\n\nconst findShadowRoot = element => {\n  if (!document.documentElement.attachShadow) {\n    return null\n  }\n\n  // Can find the shadow root otherwise it'll return the document\n  if (typeof element.getRootNode === 'function') {\n    const root = element.getRootNode()\n    return root instanceof ShadowRoot ? root : null\n  }\n\n  if (element instanceof ShadowRoot) {\n    return element\n  }\n\n  // when we don't find a shadow root\n  if (!element.parentNode) {\n    return null\n  }\n\n  return findShadowRoot(element.parentNode)\n}\n\nconst noop = () => {}\n\n/**\n * Trick to restart an element's animation\n *\n * @param {HTMLElement} element\n * @return void\n *\n * @see https://www.charistheo.io/blog/2021/02/restart-a-css-animation-with-javascript/#restarting-a-css-animation\n */\nconst reflow = element => {\n  element.offsetHeight // eslint-disable-line no-unused-expressions\n}\n\nconst getjQuery = () => {\n  if (window.jQuery && !document.body.hasAttribute('data-bs-no-jquery')) {\n    return window.jQuery\n  }\n\n  return null\n}\n\nconst DOMContentLoadedCallbacks = []\n\nconst onDOMContentLoaded = callback => {\n  if (document.readyState === 'loading') {\n    // add listener on the first call when the document is in loading state\n    if (!DOMContentLoadedCallbacks.length) {\n      document.addEventListener('DOMContentLoaded', () => {\n        for (const callback of DOMContentLoadedCallbacks) {\n          callback()\n        }\n      })\n    }\n\n    DOMContentLoadedCallbacks.push(callback)\n  } else {\n    callback()\n  }\n}\n\nconst isRTL = () => document.documentElement.dir === 'rtl'\n\nconst defineJQueryPlugin = plugin => {\n  onDOMContentLoaded(() => {\n    const $ = getjQuery()\n    /* istanbul ignore if */\n    if ($) {\n      const name = plugin.NAME\n      const JQUERY_NO_CONFLICT = $.fn[name]\n      $.fn[name] = plugin.jQueryInterface\n      $.fn[name].Constructor = plugin\n      $.fn[name].noConflict = () => {\n        $.fn[name] = JQUERY_NO_CONFLICT\n        return plugin.jQueryInterface\n      }\n    }\n  })\n}\n\nconst execute = callback => {\n  if (typeof callback === 'function') {\n    callback()\n  }\n}\n\nconst executeAfterTransition = (callback, transitionElement, waitForTransition = true) => {\n  if (!waitForTransition) {\n    execute(callback)\n    return\n  }\n\n  const durationPadding = 5\n  const emulatedDuration = getTransitionDurationFromElement(transitionElement) + durationPadding\n\n  let called = false\n\n  const handler = ({ target }) => {\n    if (target !== transitionElement) {\n      return\n    }\n\n    called = true\n    transitionElement.removeEventListener(TRANSITION_END, handler)\n    execute(callback)\n  }\n\n  transitionElement.addEventListener(TRANSITION_END, handler)\n  setTimeout(() => {\n    if (!called) {\n      triggerTransitionEnd(transitionElement)\n    }\n  }, emulatedDuration)\n}\n\n/**\n * Return the previous/next element of a list.\n *\n * @param {array} list    The list of elements\n * @param activeElement   The active element\n * @param shouldGetNext   Choose to get next or previous element\n * @param isCycleAllowed\n * @return {Element|elem} The proper element\n */\nconst getNextActiveElement = (list, activeElement, shouldGetNext, isCycleAllowed) => {\n  const listLength = list.length\n  let index = list.indexOf(activeElement)\n\n  // if the element does not exist in the list return an element\n  // depending on the direction and if cycle is allowed\n  if (index === -1) {\n    return !shouldGetNext && isCycleAllowed ? list[listLength - 1] : list[0]\n  }\n\n  index += shouldGetNext ? 1 : -1\n\n  if (isCycleAllowed) {\n    index = (index + listLength) % listLength\n  }\n\n  return list[Math.max(0, Math.min(index, listLength - 1))]\n}\n\nexport {\n  defineJQueryPlugin,\n  execute,\n  executeAfterTransition,\n  findShadowRoot,\n  getElement,\n  getElementFromSelector,\n  getjQuery,\n  getNextActiveElement,\n  getSelectorFromElement,\n  getTransitionDurationFromElement,\n  getUID,\n  isDisabled,\n  isElement,\n  isRTL,\n  isVisible,\n  noop,\n  onDOMContentLoaded,\n  reflow,\n  triggerTransitionEnd,\n  toType\n}\n","/**\n * --------------------------------------------------------------------------\n * Bootstrap (v5.2.2): dom/event-handler.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\nimport { getjQuery } from '../util/index'\n\n/**\n * Constants\n */\n\nconst namespaceRegex = /[^.]*(?=\\..*)\\.|.*/\nconst stripNameRegex = /\\..*/\nconst stripUidRegex = /::\\d+$/\nconst eventRegistry = {} // Events storage\nlet uidEvent = 1\nconst customEvents = {\n  mouseenter: 'mouseover',\n  mouseleave: 'mouseout'\n}\n\nconst nativeEvents = new Set([\n  'click',\n  'dblclick',\n  'mouseup',\n  'mousedown',\n  'contextmenu',\n  'mousewheel',\n  'DOMMouseScroll',\n  'mouseover',\n  'mouseout',\n  'mousemove',\n  'selectstart',\n  'selectend',\n  'keydown',\n  'keypress',\n  'keyup',\n  'orientationchange',\n  'touchstart',\n  'touchmove',\n  'touchend',\n  'touchcancel',\n  'pointerdown',\n  'pointermove',\n  'pointerup',\n  'pointerleave',\n  'pointercancel',\n  'gesturestart',\n  'gesturechange',\n  'gestureend',\n  'focus',\n  'blur',\n  'change',\n  'reset',\n  'select',\n  'submit',\n  'focusin',\n  'focusout',\n  'load',\n  'unload',\n  'beforeunload',\n  'resize',\n  'move',\n  'DOMContentLoaded',\n  'readystatechange',\n  'error',\n  'abort',\n  'scroll'\n])\n\n/**\n * Private methods\n */\n\nfunction makeEventUid(element, uid) {\n  return (uid && `${uid}::${uidEvent++}`) || element.uidEvent || uidEvent++\n}\n\nfunction getElementEvents(element) {\n  const uid = makeEventUid(element)\n\n  element.uidEvent = uid\n  eventRegistry[uid] = eventRegistry[uid] || {}\n\n  return eventRegistry[uid]\n}\n\nfunction bootstrapHandler(element, fn) {\n  return function handler(event) {\n    hydrateObj(event, { delegateTarget: element })\n\n    if (handler.oneOff) {\n      EventHandler.off(element, event.type, fn)\n    }\n\n    return fn.apply(element, [event])\n  }\n}\n\nfunction bootstrapDelegationHandler(element, selector, fn) {\n  return function handler(event) {\n    const domElements = element.querySelectorAll(selector)\n\n    for (let { target } = event; target && target !== this; target = target.parentNode) {\n      for (const domElement of domElements) {\n        if (domElement !== target) {\n          continue\n        }\n\n        hydrateObj(event, { delegateTarget: target })\n\n        if (handler.oneOff) {\n          EventHandler.off(element, event.type, selector, fn)\n        }\n\n        return fn.apply(target, [event])\n      }\n    }\n  }\n}\n\nfunction findHandler(events, callable, delegationSelector = null) {\n  return Object.values(events)\n    .find(event => event.callable === callable && event.delegationSelector === delegationSelector)\n}\n\nfunction normalizeParameters(originalTypeEvent, handler, delegationFunction) {\n  const isDelegated = typeof handler === 'string'\n  // todo: tooltip passes `false` instead of selector, so we need to check\n  const callable = isDelegated ? delegationFunction : (handler || delegationFunction)\n  let typeEvent = getTypeEvent(originalTypeEvent)\n\n  if (!nativeEvents.has(typeEvent)) {\n    typeEvent = originalTypeEvent\n  }\n\n  return [isDelegated, callable, typeEvent]\n}\n\nfunction addHandler(element, originalTypeEvent, handler, delegationFunction, oneOff) {\n  if (typeof originalTypeEvent !== 'string' || !element) {\n    return\n  }\n\n  let [isDelegated, callable, typeEvent] = normalizeParameters(originalTypeEvent, handler, delegationFunction)\n\n  // in case of mouseenter or mouseleave wrap the handler within a function that checks for its DOM position\n  // this prevents the handler from being dispatched the same way as mouseover or mouseout does\n  if (originalTypeEvent in customEvents) {\n    const wrapFunction = fn => {\n      return function (event) {\n        if (!event.relatedTarget || (event.relatedTarget !== event.delegateTarget && !event.delegateTarget.contains(event.relatedTarget))) {\n          return fn.call(this, event)\n        }\n      }\n    }\n\n    callable = wrapFunction(callable)\n  }\n\n  const events = getElementEvents(element)\n  const handlers = events[typeEvent] || (events[typeEvent] = {})\n  const previousFunction = findHandler(handlers, callable, isDelegated ? handler : null)\n\n  if (previousFunction) {\n    previousFunction.oneOff = previousFunction.oneOff && oneOff\n\n    return\n  }\n\n  const uid = makeEventUid(callable, originalTypeEvent.replace(namespaceRegex, ''))\n  const fn = isDelegated ?\n    bootstrapDelegationHandler(element, handler, callable) :\n    bootstrapHandler(element, callable)\n\n  fn.delegationSelector = isDelegated ? handler : null\n  fn.callable = callable\n  fn.oneOff = oneOff\n  fn.uidEvent = uid\n  handlers[uid] = fn\n\n  element.addEventListener(typeEvent, fn, isDelegated)\n}\n\nfunction removeHandler(element, events, typeEvent, handler, delegationSelector) {\n  const fn = findHandler(events[typeEvent], handler, delegationSelector)\n\n  if (!fn) {\n    return\n  }\n\n  element.removeEventListener(typeEvent, fn, Boolean(delegationSelector))\n  delete events[typeEvent][fn.uidEvent]\n}\n\nfunction removeNamespacedHandlers(element, events, typeEvent, namespace) {\n  const storeElementEvent = events[typeEvent] || {}\n\n  for (const handlerKey of Object.keys(storeElementEvent)) {\n    if (handlerKey.includes(namespace)) {\n      const event = storeElementEvent[handlerKey]\n      removeHandler(element, events, typeEvent, event.callable, event.delegationSelector)\n    }\n  }\n}\n\nfunction getTypeEvent(event) {\n  // allow to get the native events from namespaced events ('click.bs.button' --> 'click')\n  event = event.replace(stripNameRegex, '')\n  return customEvents[event] || event\n}\n\nconst EventHandler = {\n  on(element, event, handler, delegationFunction) {\n    addHandler(element, event, handler, delegationFunction, false)\n  },\n\n  one(element, event, handler, delegationFunction) {\n    addHandler(element, event, handler, delegationFunction, true)\n  },\n\n  off(element, originalTypeEvent, handler, delegationFunction) {\n    if (typeof originalTypeEvent !== 'string' || !element) {\n      return\n    }\n\n    const [isDelegated, callable, typeEvent] = normalizeParameters(originalTypeEvent, handler, delegationFunction)\n    const inNamespace = typeEvent !== originalTypeEvent\n    const events = getElementEvents(element)\n    const storeElementEvent = events[typeEvent] || {}\n    const isNamespace = originalTypeEvent.startsWith('.')\n\n    if (typeof callable !== 'undefined') {\n      // Simplest case: handler is passed, remove that listener ONLY.\n      if (!Object.keys(storeElementEvent).length) {\n        return\n      }\n\n      removeHandler(element, events, typeEvent, callable, isDelegated ? handler : null)\n      return\n    }\n\n    if (isNamespace) {\n      for (const elementEvent of Object.keys(events)) {\n        removeNamespacedHandlers(element, events, elementEvent, originalTypeEvent.slice(1))\n      }\n    }\n\n    for (const keyHandlers of Object.keys(storeElementEvent)) {\n      const handlerKey = keyHandlers.replace(stripUidRegex, '')\n\n      if (!inNamespace || originalTypeEvent.includes(handlerKey)) {\n        const event = storeElementEvent[keyHandlers]\n        removeHandler(element, events, typeEvent, event.callable, event.delegationSelector)\n      }\n    }\n  },\n\n  trigger(element, event, args) {\n    if (typeof event !== 'string' || !element) {\n      return null\n    }\n\n    const $ = getjQuery()\n    const typeEvent = getTypeEvent(event)\n    const inNamespace = event !== typeEvent\n\n    let jQueryEvent = null\n    let bubbles = true\n    let nativeDispatch = true\n    let defaultPrevented = false\n\n    if (inNamespace && $) {\n      jQueryEvent = $.Event(event, args)\n\n      $(element).trigger(jQueryEvent)\n      bubbles = !jQueryEvent.isPropagationStopped()\n      nativeDispatch = !jQueryEvent.isImmediatePropagationStopped()\n      defaultPrevented = jQueryEvent.isDefaultPrevented()\n    }\n\n    let evt = new Event(event, { bubbles, cancelable: true })\n    evt = hydrateObj(evt, args)\n\n    if (defaultPrevented) {\n      evt.preventDefault()\n    }\n\n    if (nativeDispatch) {\n      element.dispatchEvent(evt)\n    }\n\n    if (evt.defaultPrevented && jQueryEvent) {\n      jQueryEvent.preventDefault()\n    }\n\n    return evt\n  }\n}\n\nfunction hydrateObj(obj, meta) {\n  for (const [key, value] of Object.entries(meta || {})) {\n    try {\n      obj[key] = value\n    } catch {\n      Object.defineProperty(obj, key, {\n        configurable: true,\n        get() {\n          return value\n        }\n      })\n    }\n  }\n\n  return obj\n}\n\nexport default EventHandler\n","/**\n * --------------------------------------------------------------------------\n * Bootstrap (v5.2.2): dom/data.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\n/**\n * Constants\n */\n\nconst elementMap = new Map()\n\nexport default {\n  set(element, key, instance) {\n    if (!elementMap.has(element)) {\n      elementMap.set(element, new Map())\n    }\n\n    const instanceMap = elementMap.get(element)\n\n    // make it clear we only want one instance per element\n    // can be removed later when multiple key/instances are fine to be used\n    if (!instanceMap.has(key) && instanceMap.size !== 0) {\n      // eslint-disable-next-line no-console\n      console.error(`Bootstrap doesn't allow more than one instance per element. Bound instance: ${Array.from(instanceMap.keys())[0]}.`)\n      return\n    }\n\n    instanceMap.set(key, instance)\n  },\n\n  get(element, key) {\n    if (elementMap.has(element)) {\n      return elementMap.get(element).get(key) || null\n    }\n\n    return null\n  },\n\n  remove(element, key) {\n    if (!elementMap.has(element)) {\n      return\n    }\n\n    const instanceMap = elementMap.get(element)\n\n    instanceMap.delete(key)\n\n    // free up element references if there are no instances left for an element\n    if (instanceMap.size === 0) {\n      elementMap.delete(element)\n    }\n  }\n}\n","/**\n * --------------------------------------------------------------------------\n * Bootstrap (v5.2.2): dom/manipulator.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\nfunction normalizeData(value) {\n  if (value === 'true') {\n    return true\n  }\n\n  if (value === 'false') {\n    return false\n  }\n\n  if (value === Number(value).toString()) {\n    return Number(value)\n  }\n\n  if (value === '' || value === 'null') {\n    return null\n  }\n\n  if (typeof value !== 'string') {\n    return value\n  }\n\n  try {\n    return JSON.parse(decodeURIComponent(value))\n  } catch {\n    return value\n  }\n}\n\nfunction normalizeDataKey(key) {\n  return key.replace(/[A-Z]/g, chr => `-${chr.toLowerCase()}`)\n}\n\nconst Manipulator = {\n  setDataAttribute(element, key, value) {\n    element.setAttribute(`data-bs-${normalizeDataKey(key)}`, value)\n  },\n\n  removeDataAttribute(element, key) {\n    element.removeAttribute(`data-bs-${normalizeDataKey(key)}`)\n  },\n\n  getDataAttributes(element) {\n    if (!element) {\n      return {}\n    }\n\n    const attributes = {}\n    const bsKeys = Object.keys(element.dataset).filter(key => key.startsWith('bs') && !key.startsWith('bsConfig'))\n\n    for (const key of bsKeys) {\n      let pureKey = key.replace(/^bs/, '')\n      pureKey = pureKey.charAt(0).toLowerCase() + pureKey.slice(1, pureKey.length)\n      attributes[pureKey] = normalizeData(element.dataset[key])\n    }\n\n    return attributes\n  },\n\n  getDataAttribute(element, key) {\n    return normalizeData(element.getAttribute(`data-bs-${normalizeDataKey(key)}`))\n  }\n}\n\nexport default Manipulator\n","/**\n * --------------------------------------------------------------------------\n * Bootstrap (v5.2.2): util/config.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\nimport { isElement, toType } from './index'\nimport Manipulator from '../dom/manipulator'\n\n/**\n * Class definition\n */\n\nclass Config {\n  // Getters\n  static get Default() {\n    return {}\n  }\n\n  static get DefaultType() {\n    return {}\n  }\n\n  static get NAME() {\n    throw new Error('You have to implement the static method \"NAME\", for each component!')\n  }\n\n  _getConfig(config) {\n    config = this._mergeConfigObj(config)\n    config = this._configAfterMerge(config)\n    this._typeCheckConfig(config)\n    return config\n  }\n\n  _configAfterMerge(config) {\n    return config\n  }\n\n  _mergeConfigObj(config, element) {\n    const jsonConfig = isElement(element) ? Manipulator.getDataAttribute(element, 'config') : {} // try to parse\n\n    return {\n      ...this.constructor.Default,\n      ...(typeof jsonConfig === 'object' ? jsonConfig : {}),\n      ...(isElement(element) ? Manipulator.getDataAttributes(element) : {}),\n      ...(typeof config === 'object' ? config : {})\n    }\n  }\n\n  _typeCheckConfig(config, configTypes = this.constructor.DefaultType) {\n    for (const property of Object.keys(configTypes)) {\n      const expectedTypes = configTypes[property]\n      const value = config[property]\n      const valueType = isElement(value) ? 'element' : toType(value)\n\n      if (!new RegExp(expectedTypes).test(valueType)) {\n        throw new TypeError(\n          `${this.constructor.NAME.toUpperCase()}: Option \"${property}\" provided type \"${valueType}\" but expected type \"${expectedTypes}\".`\n        )\n      }\n    }\n  }\n}\n\nexport default Config\n","/**\n * --------------------------------------------------------------------------\n * Bootstrap (v5.2.2): base-component.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\nimport Data from './dom/data'\nimport { executeAfterTransition, getElement } from './util/index'\nimport EventHandler from './dom/event-handler'\nimport Config from './util/config'\n\n/**\n * Constants\n */\n\nconst VERSION = '5.2.2'\n\n/**\n * Class definition\n */\n\nclass BaseComponent extends Config {\n  constructor(element, config) {\n    super()\n\n    element = getElement(element)\n    if (!element) {\n      return\n    }\n\n    this._element = element\n    this._config = this._getConfig(config)\n\n    Data.set(this._element, this.constructor.DATA_KEY, this)\n  }\n\n  // Public\n  dispose() {\n    Data.remove(this._element, this.constructor.DATA_KEY)\n    EventHandler.off(this._element, this.constructor.EVENT_KEY)\n\n    for (const propertyName of Object.getOwnPropertyNames(this)) {\n      this[propertyName] = null\n    }\n  }\n\n  _queueCallback(callback, element, isAnimated = true) {\n    executeAfterTransition(callback, element, isAnimated)\n  }\n\n  _getConfig(config) {\n    config = this._mergeConfigObj(config, this._element)\n    config = this._configAfterMerge(config)\n    this._typeCheckConfig(config)\n    return config\n  }\n\n  // Static\n  static getInstance(element) {\n    return Data.get(getElement(element), this.DATA_KEY)\n  }\n\n  static getOrCreateInstance(element, config = {}) {\n    return this.getInstance(element) || new this(element, typeof config === 'object' ? config : null)\n  }\n\n  static get VERSION() {\n    return VERSION\n  }\n\n  static get DATA_KEY() {\n    return `bs.${this.NAME}`\n  }\n\n  static get EVENT_KEY() {\n    return `.${this.DATA_KEY}`\n  }\n\n  static eventName(name) {\n    return `${name}${this.EVENT_KEY}`\n  }\n}\n\nexport default BaseComponent\n","/**\n * --------------------------------------------------------------------------\n * Bootstrap (v5.2.2): util/component-functions.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\nimport EventHandler from '../dom/event-handler'\nimport { getElementFromSelector, isDisabled } from './index'\n\nconst enableDismissTrigger = (component, method = 'hide') => {\n  const clickEvent = `click.dismiss${component.EVENT_KEY}`\n  const name = component.NAME\n\n  EventHandler.on(document, clickEvent, `[data-bs-dismiss=\"${name}\"]`, function (event) {\n    if (['A', 'AREA'].includes(this.tagName)) {\n      event.preventDefault()\n    }\n\n    if (isDisabled(this)) {\n      return\n    }\n\n    const target = getElementFromSelector(this) || this.closest(`.${name}`)\n    const instance = component.getOrCreateInstance(target)\n\n    // Method argument is left, for Alert and only, as it doesn't implement the 'hide' method\n    instance[method]()\n  })\n}\n\nexport {\n  enableDismissTrigger\n}\n","/**\n * --------------------------------------------------------------------------\n * Bootstrap (v5.2.2): alert.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\nimport { defineJQueryPlugin } from './util/index'\nimport EventHandler from './dom/event-handler'\nimport BaseComponent from './base-component'\nimport { enableDismissTrigger } from './util/component-functions'\n\n/**\n * Constants\n */\n\nconst NAME = 'alert'\nconst DATA_KEY = 'bs.alert'\nconst EVENT_KEY = `.${DATA_KEY}`\n\nconst EVENT_CLOSE = `close${EVENT_KEY}`\nconst EVENT_CLOSED = `closed${EVENT_KEY}`\nconst CLASS_NAME_FADE = 'fade'\nconst CLASS_NAME_SHOW = 'show'\n\n/**\n * Class definition\n */\n\nclass Alert extends BaseComponent {\n  // Getters\n  static get NAME() {\n    return NAME\n  }\n\n  // Public\n  close() {\n    const closeEvent = EventHandler.trigger(this._element, EVENT_CLOSE)\n\n    if (closeEvent.defaultPrevented) {\n      return\n    }\n\n    this._element.classList.remove(CLASS_NAME_SHOW)\n\n    const isAnimated = this._element.classList.contains(CLASS_NAME_FADE)\n    this._queueCallback(() => this._destroyElement(), this._element, isAnimated)\n  }\n\n  // Private\n  _destroyElement() {\n    this._element.remove()\n    EventHandler.trigger(this._element, EVENT_CLOSED)\n    this.dispose()\n  }\n\n  // Static\n  static jQueryInterface(config) {\n    return this.each(function () {\n      const data = Alert.getOrCreateInstance(this)\n\n      if (typeof config !== 'string') {\n        return\n      }\n\n      if (data[config] === undefined || config.startsWith('_') || config === 'constructor') {\n        throw new TypeError(`No method named \"${config}\"`)\n      }\n\n      data[config](this)\n    })\n  }\n}\n\n/**\n * Data API implementation\n */\n\nenableDismissTrigger(Alert, 'close')\n\n/**\n * jQuery\n */\n\ndefineJQueryPlugin(Alert)\n\nexport default Alert\n","/**\n * --------------------------------------------------------------------------\n * Bootstrap (v5.2.2): button.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\nimport { defineJQueryPlugin } from './util/index'\nimport EventHandler from './dom/event-handler'\nimport BaseComponent from './base-component'\n\n/**\n * Constants\n */\n\nconst NAME = 'button'\nconst DATA_KEY = 'bs.button'\nconst EVENT_KEY = `.${DATA_KEY}`\nconst DATA_API_KEY = '.data-api'\n\nconst CLASS_NAME_ACTIVE = 'active'\nconst SELECTOR_DATA_TOGGLE = '[data-bs-toggle=\"button\"]'\nconst EVENT_CLICK_DATA_API = `click${EVENT_KEY}${DATA_API_KEY}`\n\n/**\n * Class definition\n */\n\nclass Button extends BaseComponent {\n  // Getters\n  static get NAME() {\n    return NAME\n  }\n\n  // Public\n  toggle() {\n    // Toggle class and sync the `aria-pressed` attribute with the return value of the `.toggle()` method\n    this._element.setAttribute('aria-pressed', this._element.classList.toggle(CLASS_NAME_ACTIVE))\n  }\n\n  // Static\n  static jQueryInterface(config) {\n    return this.each(function () {\n      const data = Button.getOrCreateInstance(this)\n\n      if (config === 'toggle') {\n        data[config]()\n      }\n    })\n  }\n}\n\n/**\n * Data API implementation\n */\n\nEventHandler.on(document, EVENT_CLICK_DATA_API, SELECTOR_DATA_TOGGLE, event => {\n  event.preventDefault()\n\n  const button = event.target.closest(SELECTOR_DATA_TOGGLE)\n  const data = Button.getOrCreateInstance(button)\n\n  data.toggle()\n})\n\n/**\n * jQuery\n */\n\ndefineJQueryPlugin(Button)\n\nexport default Button\n","/**\n * --------------------------------------------------------------------------\n * Bootstrap (v5.2.2): dom/selector-engine.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\nimport { isDisabled, isVisible } from '../util/index'\n\n/**\n * Constants\n */\n\nconst SelectorEngine = {\n  find(selector, element = document.documentElement) {\n    return [].concat(...Element.prototype.querySelectorAll.call(element, selector))\n  },\n\n  findOne(selector, element = document.documentElement) {\n    return Element.prototype.querySelector.call(element, selector)\n  },\n\n  children(element, selector) {\n    return [].concat(...element.children).filter(child => child.matches(selector))\n  },\n\n  parents(element, selector) {\n    const parents = []\n    let ancestor = element.parentNode.closest(selector)\n\n    while (ancestor) {\n      parents.push(ancestor)\n      ancestor = ancestor.parentNode.closest(selector)\n    }\n\n    return parents\n  },\n\n  prev(element, selector) {\n    let previous = element.previousElementSibling\n\n    while (previous) {\n      if (previous.matches(selector)) {\n        return [previous]\n      }\n\n      previous = previous.previousElementSibling\n    }\n\n    return []\n  },\n  // TODO: this is now unused; remove later along with prev()\n  next(element, selector) {\n    let next = element.nextElementSibling\n\n    while (next) {\n      if (next.matches(selector)) {\n        return [next]\n      }\n\n      next = next.nextElementSibling\n    }\n\n    return []\n  },\n\n  focusableChildren(element) {\n    const focusables = [\n      'a',\n      'button',\n      'input',\n      'textarea',\n      'select',\n      'details',\n      '[tabindex]',\n      '[contenteditable=\"true\"]'\n    ].map(selector => `${selector}:not([tabindex^=\"-\"])`).join(',')\n\n    return this.find(focusables, element).filter(el => !isDisabled(el) && isVisible(el))\n  }\n}\n\nexport default SelectorEngine\n","/**\n * --------------------------------------------------------------------------\n * Bootstrap (v5.2.2): util/swipe.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\nimport Config from './config'\nimport EventHandler from '../dom/event-handler'\nimport { execute } from './index'\n\n/**\n * Constants\n */\n\nconst NAME = 'swipe'\nconst EVENT_KEY = '.bs.swipe'\nconst EVENT_TOUCHSTART = `touchstart${EVENT_KEY}`\nconst EVENT_TOUCHMOVE = `touchmove${EVENT_KEY}`\nconst EVENT_TOUCHEND = `touchend${EVENT_KEY}`\nconst EVENT_POINTERDOWN = `pointerdown${EVENT_KEY}`\nconst EVENT_POINTERUP = `pointerup${EVENT_KEY}`\nconst POINTER_TYPE_TOUCH = 'touch'\nconst POINTER_TYPE_PEN = 'pen'\nconst CLASS_NAME_POINTER_EVENT = 'pointer-event'\nconst SWIPE_THRESHOLD = 40\n\nconst Default = {\n  endCallback: null,\n  leftCallback: null,\n  rightCallback: null\n}\n\nconst DefaultType = {\n  endCallback: '(function|null)',\n  leftCallback: '(function|null)',\n  rightCallback: '(function|null)'\n}\n\n/**\n * Class definition\n */\n\nclass Swipe extends Config {\n  constructor(element, config) {\n    super()\n    this._element = element\n\n    if (!element || !Swipe.isSupported()) {\n      return\n    }\n\n    this._config = this._getConfig(config)\n    this._deltaX = 0\n    this._supportPointerEvents = Boolean(window.PointerEvent)\n    this._initEvents()\n  }\n\n  // Getters\n  static get Default() {\n    return Default\n  }\n\n  static get DefaultType() {\n    return DefaultType\n  }\n\n  static get NAME() {\n    return NAME\n  }\n\n  // Public\n  dispose() {\n    EventHandler.off(this._element, EVENT_KEY)\n  }\n\n  // Private\n  _start(event) {\n    if (!this._supportPointerEvents) {\n      this._deltaX = event.touches[0].clientX\n\n      return\n    }\n\n    if (this._eventIsPointerPenTouch(event)) {\n      this._deltaX = event.clientX\n    }\n  }\n\n  _end(event) {\n    if (this._eventIsPointerPenTouch(event)) {\n      this._deltaX = event.clientX - this._deltaX\n    }\n\n    this._handleSwipe()\n    execute(this._config.endCallback)\n  }\n\n  _move(event) {\n    this._deltaX = event.touches && event.touches.length > 1 ?\n      0 :\n      event.touches[0].clientX - this._deltaX\n  }\n\n  _handleSwipe() {\n    const absDeltaX = Math.abs(this._deltaX)\n\n    if (absDeltaX <= SWIPE_THRESHOLD) {\n      return\n    }\n\n    const direction = absDeltaX / this._deltaX\n\n    this._deltaX = 0\n\n    if (!direction) {\n      return\n    }\n\n    execute(direction > 0 ? this._config.rightCallback : this._config.leftCallback)\n  }\n\n  _initEvents() {\n    if (this._supportPointerEvents) {\n      EventHandler.on(this._element, EVENT_POINTERDOWN, event => this._start(event))\n      EventHandler.on(this._element, EVENT_POINTERUP, event => this._end(event))\n\n      this._element.classList.add(CLASS_NAME_POINTER_EVENT)\n    } else {\n      EventHandler.on(this._element, EVENT_TOUCHSTART, event => this._start(event))\n      EventHandler.on(this._element, EVENT_TOUCHMOVE, event => this._move(event))\n      EventHandler.on(this._element, EVENT_TOUCHEND, event => this._end(event))\n    }\n  }\n\n  _eventIsPointerPenTouch(event) {\n    return this._supportPointerEvents && (event.pointerType === POINTER_TYPE_PEN || event.pointerType === POINTER_TYPE_TOUCH)\n  }\n\n  // Static\n  static isSupported() {\n    return 'ontouchstart' in document.documentElement || navigator.maxTouchPoints > 0\n  }\n}\n\nexport default Swipe\n","/**\n * --------------------------------------------------------------------------\n * Bootstrap (v5.2.2): carousel.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\nimport {\n  defineJQueryPlugin,\n  getElementFromSelector,\n  getNextActiveElement,\n  isRTL,\n  isVisible,\n  reflow,\n  triggerTransitionEnd\n} from './util/index'\nimport EventHandler from './dom/event-handler'\nimport Manipulator from './dom/manipulator'\nimport SelectorEngine from './dom/selector-engine'\nimport Swipe from './util/swipe'\nimport BaseComponent from './base-component'\n\n/**\n * Constants\n */\n\nconst NAME = 'carousel'\nconst DATA_KEY = 'bs.carousel'\nconst EVENT_KEY = `.${DATA_KEY}`\nconst DATA_API_KEY = '.data-api'\n\nconst ARROW_LEFT_KEY = 'ArrowLeft'\nconst ARROW_RIGHT_KEY = 'ArrowRight'\nconst TOUCHEVENT_COMPAT_WAIT = 500 // Time for mouse compat events to fire after touch\n\nconst ORDER_NEXT = 'next'\nconst ORDER_PREV = 'prev'\nconst DIRECTION_LEFT = 'left'\nconst DIRECTION_RIGHT = 'right'\n\nconst EVENT_SLIDE = `slide${EVENT_KEY}`\nconst EVENT_SLID = `slid${EVENT_KEY}`\nconst EVENT_KEYDOWN = `keydown${EVENT_KEY}`\nconst EVENT_MOUSEENTER = `mouseenter${EVENT_KEY}`\nconst EVENT_MOUSELEAVE = `mouseleave${EVENT_KEY}`\nconst EVENT_DRAG_START = `dragstart${EVENT_KEY}`\nconst EVENT_LOAD_DATA_API = `load${EVENT_KEY}${DATA_API_KEY}`\nconst EVENT_CLICK_DATA_API = `click${EVENT_KEY}${DATA_API_KEY}`\n\nconst CLASS_NAME_CAROUSEL = 'carousel'\nconst CLASS_NAME_ACTIVE = 'active'\nconst CLASS_NAME_SLIDE = 'slide'\nconst CLASS_NAME_END = 'carousel-item-end'\nconst CLASS_NAME_START = 'carousel-item-start'\nconst CLASS_NAME_NEXT = 'carousel-item-next'\nconst CLASS_NAME_PREV = 'carousel-item-prev'\n\nconst SELECTOR_ACTIVE = '.active'\nconst SELECTOR_ITEM = '.carousel-item'\nconst SELECTOR_ACTIVE_ITEM = SELECTOR_ACTIVE + SELECTOR_ITEM\nconst SELECTOR_ITEM_IMG = '.carousel-item img'\nconst SELECTOR_INDICATORS = '.carousel-indicators'\nconst SELECTOR_DATA_SLIDE = '[data-bs-slide], [data-bs-slide-to]'\nconst SELECTOR_DATA_RIDE = '[data-bs-ride=\"carousel\"]'\n\nconst KEY_TO_DIRECTION = {\n  [ARROW_LEFT_KEY]: DIRECTION_RIGHT,\n  [ARROW_RIGHT_KEY]: DIRECTION_LEFT\n}\n\nconst Default = {\n  interval: 5000,\n  keyboard: true,\n  pause: 'hover',\n  ride: false,\n  touch: true,\n  wrap: true\n}\n\nconst DefaultType = {\n  interval: '(number|boolean)', // TODO:v6 remove boolean support\n  keyboard: 'boolean',\n  pause: '(string|boolean)',\n  ride: '(boolean|string)',\n  touch: 'boolean',\n  wrap: 'boolean'\n}\n\n/**\n * Class definition\n */\n\nclass Carousel extends BaseComponent {\n  constructor(element, config) {\n    super(element, config)\n\n    this._interval = null\n    this._activeElement = null\n    this._isSliding = false\n    this.touchTimeout = null\n    this._swipeHelper = null\n\n    this._indicatorsElement = SelectorEngine.findOne(SELECTOR_INDICATORS, this._element)\n    this._addEventListeners()\n\n    if (this._config.ride === CLASS_NAME_CAROUSEL) {\n      this.cycle()\n    }\n  }\n\n  // Getters\n  static get Default() {\n    return Default\n  }\n\n  static get DefaultType() {\n    return DefaultType\n  }\n\n  static get NAME() {\n    return NAME\n  }\n\n  // Public\n  next() {\n    this._slide(ORDER_NEXT)\n  }\n\n  nextWhenVisible() {\n    // FIXME TODO use `document.visibilityState`\n    // Don't call next when the page isn't visible\n    // or the carousel or its parent isn't visible\n    if (!document.hidden && isVisible(this._element)) {\n      this.next()\n    }\n  }\n\n  prev() {\n    this._slide(ORDER_PREV)\n  }\n\n  pause() {\n    if (this._isSliding) {\n      triggerTransitionEnd(this._element)\n    }\n\n    this._clearInterval()\n  }\n\n  cycle() {\n    this._clearInterval()\n    this._updateInterval()\n\n    this._interval = setInterval(() => this.nextWhenVisible(), this._config.interval)\n  }\n\n  _maybeEnableCycle() {\n    if (!this._config.ride) {\n      return\n    }\n\n    if (this._isSliding) {\n      EventHandler.one(this._element, EVENT_SLID, () => this.cycle())\n      return\n    }\n\n    this.cycle()\n  }\n\n  to(index) {\n    const items = this._getItems()\n    if (index > items.length - 1 || index < 0) {\n      return\n    }\n\n    if (this._isSliding) {\n      EventHandler.one(this._element, EVENT_SLID, () => this.to(index))\n      return\n    }\n\n    const activeIndex = this._getItemIndex(this._getActive())\n    if (activeIndex === index) {\n      return\n    }\n\n    const order = index > activeIndex ? ORDER_NEXT : ORDER_PREV\n\n    this._slide(order, items[index])\n  }\n\n  dispose() {\n    if (this._swipeHelper) {\n      this._swipeHelper.dispose()\n    }\n\n    super.dispose()\n  }\n\n  // Private\n  _configAfterMerge(config) {\n    config.defaultInterval = config.interval\n    return config\n  }\n\n  _addEventListeners() {\n    if (this._config.keyboard) {\n      EventHandler.on(this._element, EVENT_KEYDOWN, event => this._keydown(event))\n    }\n\n    if (this._config.pause === 'hover') {\n      EventHandler.on(this._element, EVENT_MOUSEENTER, () => this.pause())\n      EventHandler.on(this._element, EVENT_MOUSELEAVE, () => this._maybeEnableCycle())\n    }\n\n    if (this._config.touch && Swipe.isSupported()) {\n      this._addTouchEventListeners()\n    }\n  }\n\n  _addTouchEventListeners() {\n    for (const img of SelectorEngine.find(SELECTOR_ITEM_IMG, this._element)) {\n      EventHandler.on(img, EVENT_DRAG_START, event => event.preventDefault())\n    }\n\n    const endCallBack = () => {\n      if (this._config.pause !== 'hover') {\n        return\n      }\n\n      // If it's a touch-enabled device, mouseenter/leave are fired as\n      // part of the mouse compatibility events on first tap - the carousel\n      // would stop cycling until user tapped out of it;\n      // here, we listen for touchend, explicitly pause the carousel\n      // (as if it's the second time we tap on it, mouseenter compat event\n      // is NOT fired) and after a timeout (to allow for mouse compatibility\n      // events to fire) we explicitly restart cycling\n\n      this.pause()\n      if (this.touchTimeout) {\n        clearTimeout(this.touchTimeout)\n      }\n\n      this.touchTimeout = setTimeout(() => this._maybeEnableCycle(), TOUCHEVENT_COMPAT_WAIT + this._config.interval)\n    }\n\n    const swipeConfig = {\n      leftCallback: () => this._slide(this._directionToOrder(DIRECTION_LEFT)),\n      rightCallback: () => this._slide(this._directionToOrder(DIRECTION_RIGHT)),\n      endCallback: endCallBack\n    }\n\n    this._swipeHelper = new Swipe(this._element, swipeConfig)\n  }\n\n  _keydown(event) {\n    if (/input|textarea/i.test(event.target.tagName)) {\n      return\n    }\n\n    const direction = KEY_TO_DIRECTION[event.key]\n    if (direction) {\n      event.preventDefault()\n      this._slide(this._directionToOrder(direction))\n    }\n  }\n\n  _getItemIndex(element) {\n    return this._getItems().indexOf(element)\n  }\n\n  _setActiveIndicatorElement(index) {\n    if (!this._indicatorsElement) {\n      return\n    }\n\n    const activeIndicator = SelectorEngine.findOne(SELECTOR_ACTIVE, this._indicatorsElement)\n\n    activeIndicator.classList.remove(CLASS_NAME_ACTIVE)\n    activeIndicator.removeAttribute('aria-current')\n\n    const newActiveIndicator = SelectorEngine.findOne(`[data-bs-slide-to=\"${index}\"]`, this._indicatorsElement)\n\n    if (newActiveIndicator) {\n      newActiveIndicator.classList.add(CLASS_NAME_ACTIVE)\n      newActiveIndicator.setAttribute('aria-current', 'true')\n    }\n  }\n\n  _updateInterval() {\n    const element = this._activeElement || this._getActive()\n\n    if (!element) {\n      return\n    }\n\n    const elementInterval = Number.parseInt(element.getAttribute('data-bs-interval'), 10)\n\n    this._config.interval = elementInterval || this._config.defaultInterval\n  }\n\n  _slide(order, element = null) {\n    if (this._isSliding) {\n      return\n    }\n\n    const activeElement = this._getActive()\n    const isNext = order === ORDER_NEXT\n    const nextElement = element || getNextActiveElement(this._getItems(), activeElement, isNext, this._config.wrap)\n\n    if (nextElement === activeElement) {\n      return\n    }\n\n    const nextElementIndex = this._getItemIndex(nextElement)\n\n    const triggerEvent = eventName => {\n      return EventHandler.trigger(this._element, eventName, {\n        relatedTarget: nextElement,\n        direction: this._orderToDirection(order),\n        from: this._getItemIndex(activeElement),\n        to: nextElementIndex\n      })\n    }\n\n    const slideEvent = triggerEvent(EVENT_SLIDE)\n\n    if (slideEvent.defaultPrevented) {\n      return\n    }\n\n    if (!activeElement || !nextElement) {\n      // Some weirdness is happening, so we bail\n      // todo: change tests that use empty divs to avoid this check\n      return\n    }\n\n    const isCycling = Boolean(this._interval)\n    this.pause()\n\n    this._isSliding = true\n\n    this._setActiveIndicatorElement(nextElementIndex)\n    this._activeElement = nextElement\n\n    const directionalClassName = isNext ? CLASS_NAME_START : CLASS_NAME_END\n    const orderClassName = isNext ? CLASS_NAME_NEXT : CLASS_NAME_PREV\n\n    nextElement.classList.add(orderClassName)\n\n    reflow(nextElement)\n\n    activeElement.classList.add(directionalClassName)\n    nextElement.classList.add(directionalClassName)\n\n    const completeCallBack = () => {\n      nextElement.classList.remove(directionalClassName, orderClassName)\n      nextElement.classList.add(CLASS_NAME_ACTIVE)\n\n      activeElement.classList.remove(CLASS_NAME_ACTIVE, orderClassName, directionalClassName)\n\n      this._isSliding = false\n\n      triggerEvent(EVENT_SLID)\n    }\n\n    this._queueCallback(completeCallBack, activeElement, this._isAnimated())\n\n    if (isCycling) {\n      this.cycle()\n    }\n  }\n\n  _isAnimated() {\n    return this._element.classList.contains(CLASS_NAME_SLIDE)\n  }\n\n  _getActive() {\n    return SelectorEngine.findOne(SELECTOR_ACTIVE_ITEM, this._element)\n  }\n\n  _getItems() {\n    return SelectorEngine.find(SELECTOR_ITEM, this._element)\n  }\n\n  _clearInterval() {\n    if (this._interval) {\n      clearInterval(this._interval)\n      this._interval = null\n    }\n  }\n\n  _directionToOrder(direction) {\n    if (isRTL()) {\n      return direction === DIRECTION_LEFT ? ORDER_PREV : ORDER_NEXT\n    }\n\n    return direction === DIRECTION_LEFT ? ORDER_NEXT : ORDER_PREV\n  }\n\n  _orderToDirection(order) {\n    if (isRTL()) {\n      return order === ORDER_PREV ? DIRECTION_LEFT : DIRECTION_RIGHT\n    }\n\n    return order === ORDER_PREV ? DIRECTION_RIGHT : DIRECTION_LEFT\n  }\n\n  // Static\n  static jQueryInterface(config) {\n    return this.each(function () {\n      const data = Carousel.getOrCreateInstance(this, config)\n\n      if (typeof config === 'number') {\n        data.to(config)\n        return\n      }\n\n      if (typeof config === 'string') {\n        if (data[config] === undefined || config.startsWith('_') || config === 'constructor') {\n          throw new TypeError(`No method named \"${config}\"`)\n        }\n\n        data[config]()\n      }\n    })\n  }\n}\n\n/**\n * Data API implementation\n */\n\nEventHandler.on(document, EVENT_CLICK_DATA_API, SELECTOR_DATA_SLIDE, function (event) {\n  const target = getElementFromSelector(this)\n\n  if (!target || !target.classList.contains(CLASS_NAME_CAROUSEL)) {\n    return\n  }\n\n  event.preventDefault()\n\n  const carousel = Carousel.getOrCreateInstance(target)\n  const slideIndex = this.getAttribute('data-bs-slide-to')\n\n  if (slideIndex) {\n    carousel.to(slideIndex)\n    carousel._maybeEnableCycle()\n    return\n  }\n\n  if (Manipulator.getDataAttribute(this, 'slide') === 'next') {\n    carousel.next()\n    carousel._maybeEnableCycle()\n    return\n  }\n\n  carousel.prev()\n  carousel._maybeEnableCycle()\n})\n\nEventHandler.on(window, EVENT_LOAD_DATA_API, () => {\n  const carousels = SelectorEngine.find(SELECTOR_DATA_RIDE)\n\n  for (const carousel of carousels) {\n    Carousel.getOrCreateInstance(carousel)\n  }\n})\n\n/**\n * jQuery\n */\n\ndefineJQueryPlugin(Carousel)\n\nexport default Carousel\n","/**\n * --------------------------------------------------------------------------\n * Bootstrap (v5.2.2): collapse.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\nimport {\n  defineJQueryPlugin,\n  getElement,\n  getElementFromSelector,\n  getSelectorFromElement,\n  reflow\n} from './util/index'\nimport EventHandler from './dom/event-handler'\nimport SelectorEngine from './dom/selector-engine'\nimport BaseComponent from './base-component'\n\n/**\n * Constants\n */\n\nconst NAME = 'collapse'\nconst DATA_KEY = 'bs.collapse'\nconst EVENT_KEY = `.${DATA_KEY}`\nconst DATA_API_KEY = '.data-api'\n\nconst EVENT_SHOW = `show${EVENT_KEY}`\nconst EVENT_SHOWN = `shown${EVENT_KEY}`\nconst EVENT_HIDE = `hide${EVENT_KEY}`\nconst EVENT_HIDDEN = `hidden${EVENT_KEY}`\nconst EVENT_CLICK_DATA_API = `click${EVENT_KEY}${DATA_API_KEY}`\n\nconst CLASS_NAME_SHOW = 'show'\nconst CLASS_NAME_COLLAPSE = 'collapse'\nconst CLASS_NAME_COLLAPSING = 'collapsing'\nconst CLASS_NAME_COLLAPSED = 'collapsed'\nconst CLASS_NAME_DEEPER_CHILDREN = `:scope .${CLASS_NAME_COLLAPSE} .${CLASS_NAME_COLLAPSE}`\nconst CLASS_NAME_HORIZONTAL = 'collapse-horizontal'\n\nconst WIDTH = 'width'\nconst HEIGHT = 'height'\n\nconst SELECTOR_ACTIVES = '.collapse.show, .collapse.collapsing'\nconst SELECTOR_DATA_TOGGLE = '[data-bs-toggle=\"collapse\"]'\n\nconst Default = {\n  parent: null,\n  toggle: true\n}\n\nconst DefaultType = {\n  parent: '(null|element)',\n  toggle: 'boolean'\n}\n\n/**\n * Class definition\n */\n\nclass Collapse extends BaseComponent {\n  constructor(element, config) {\n    super(element, config)\n\n    this._isTransitioning = false\n    this._triggerArray = []\n\n    const toggleList = SelectorEngine.find(SELECTOR_DATA_TOGGLE)\n\n    for (const elem of toggleList) {\n      const selector = getSelectorFromElement(elem)\n      const filterElement = SelectorEngine.find(selector)\n        .filter(foundElement => foundElement === this._element)\n\n      if (selector !== null && filterElement.length) {\n        this._triggerArray.push(elem)\n      }\n    }\n\n    this._initializeChildren()\n\n    if (!this._config.parent) {\n      this._addAriaAndCollapsedClass(this._triggerArray, this._isShown())\n    }\n\n    if (this._config.toggle) {\n      this.toggle()\n    }\n  }\n\n  // Getters\n  static get Default() {\n    return Default\n  }\n\n  static get DefaultType() {\n    return DefaultType\n  }\n\n  static get NAME() {\n    return NAME\n  }\n\n  // Public\n  toggle() {\n    if (this._isShown()) {\n      this.hide()\n    } else {\n      this.show()\n    }\n  }\n\n  show() {\n    if (this._isTransitioning || this._isShown()) {\n      return\n    }\n\n    let activeChildren = []\n\n    // find active children\n    if (this._config.parent) {\n      activeChildren = this._getFirstLevelChildren(SELECTOR_ACTIVES)\n        .filter(element => element !== this._element)\n        .map(element => Collapse.getOrCreateInstance(element, { toggle: false }))\n    }\n\n    if (activeChildren.length && activeChildren[0]._isTransitioning) {\n      return\n    }\n\n    const startEvent = EventHandler.trigger(this._element, EVENT_SHOW)\n    if (startEvent.defaultPrevented) {\n      return\n    }\n\n    for (const activeInstance of activeChildren) {\n      activeInstance.hide()\n    }\n\n    const dimension = this._getDimension()\n\n    this._element.classList.remove(CLASS_NAME_COLLAPSE)\n    this._element.classList.add(CLASS_NAME_COLLAPSING)\n\n    this._element.style[dimension] = 0\n\n    this._addAriaAndCollapsedClass(this._triggerArray, true)\n    this._isTransitioning = true\n\n    const complete = () => {\n      this._isTransitioning = false\n\n      this._element.classList.remove(CLASS_NAME_COLLAPSING)\n      this._element.classList.add(CLASS_NAME_COLLAPSE, CLASS_NAME_SHOW)\n\n      this._element.style[dimension] = ''\n\n      EventHandler.trigger(this._element, EVENT_SHOWN)\n    }\n\n    const capitalizedDimension = dimension[0].toUpperCase() + dimension.slice(1)\n    const scrollSize = `scroll${capitalizedDimension}`\n\n    this._queueCallback(complete, this._element, true)\n    this._element.style[dimension] = `${this._element[scrollSize]}px`\n  }\n\n  hide() {\n    if (this._isTransitioning || !this._isShown()) {\n      return\n    }\n\n    const startEvent = EventHandler.trigger(this._element, EVENT_HIDE)\n    if (startEvent.defaultPrevented) {\n      return\n    }\n\n    const dimension = this._getDimension()\n\n    this._element.style[dimension] = `${this._element.getBoundingClientRect()[dimension]}px`\n\n    reflow(this._element)\n\n    this._element.classList.add(CLASS_NAME_COLLAPSING)\n    this._element.classList.remove(CLASS_NAME_COLLAPSE, CLASS_NAME_SHOW)\n\n    for (const trigger of this._triggerArray) {\n      const element = getElementFromSelector(trigger)\n\n      if (element && !this._isShown(element)) {\n        this._addAriaAndCollapsedClass([trigger], false)\n      }\n    }\n\n    this._isTransitioning = true\n\n    const complete = () => {\n      this._isTransitioning = false\n      this._element.classList.remove(CLASS_NAME_COLLAPSING)\n      this._element.classList.add(CLASS_NAME_COLLAPSE)\n      EventHandler.trigger(this._element, EVENT_HIDDEN)\n    }\n\n    this._element.style[dimension] = ''\n\n    this._queueCallback(complete, this._element, true)\n  }\n\n  _isShown(element = this._element) {\n    return element.classList.contains(CLASS_NAME_SHOW)\n  }\n\n  // Private\n  _configAfterMerge(config) {\n    config.toggle = Boolean(config.toggle) // Coerce string values\n    config.parent = getElement(config.parent)\n    return config\n  }\n\n  _getDimension() {\n    return this._element.classList.contains(CLASS_NAME_HORIZONTAL) ? WIDTH : HEIGHT\n  }\n\n  _initializeChildren() {\n    if (!this._config.parent) {\n      return\n    }\n\n    const children = this._getFirstLevelChildren(SELECTOR_DATA_TOGGLE)\n\n    for (const element of children) {\n      const selected = getElementFromSelector(element)\n\n      if (selected) {\n        this._addAriaAndCollapsedClass([element], this._isShown(selected))\n      }\n    }\n  }\n\n  _getFirstLevelChildren(selector) {\n    const children = SelectorEngine.find(CLASS_NAME_DEEPER_CHILDREN, this._config.parent)\n    // remove children if greater depth\n    return SelectorEngine.find(selector, this._config.parent).filter(element => !children.includes(element))\n  }\n\n  _addAriaAndCollapsedClass(triggerArray, isOpen) {\n    if (!triggerArray.length) {\n      return\n    }\n\n    for (const element of triggerArray) {\n      element.classList.toggle(CLASS_NAME_COLLAPSED, !isOpen)\n      element.setAttribute('aria-expanded', isOpen)\n    }\n  }\n\n  // Static\n  static jQueryInterface(config) {\n    const _config = {}\n    if (typeof config === 'string' && /show|hide/.test(config)) {\n      _config.toggle = false\n    }\n\n    return this.each(function () {\n      const data = Collapse.getOrCreateInstance(this, _config)\n\n      if (typeof config === 'string') {\n        if (typeof data[config] === 'undefined') {\n          throw new TypeError(`No method named \"${config}\"`)\n        }\n\n        data[config]()\n      }\n    })\n  }\n}\n\n/**\n * Data API implementation\n */\n\nEventHandler.on(document, EVENT_CLICK_DATA_API, SELECTOR_DATA_TOGGLE, function (event) {\n  // preventDefault only for <a> elements (which change the URL) not inside the collapsible element\n  if (event.target.tagName === 'A' || (event.delegateTarget && event.delegateTarget.tagName === 'A')) {\n    event.preventDefault()\n  }\n\n  const selector = getSelectorFromElement(this)\n  const selectorElements = SelectorEngine.find(selector)\n\n  for (const element of selectorElements) {\n    Collapse.getOrCreateInstance(element, { toggle: false }).toggle()\n  }\n})\n\n/**\n * jQuery\n */\n\ndefineJQueryPlugin(Collapse)\n\nexport default Collapse\n","export var top = 'top';\nexport var bottom = 'bottom';\nexport var right = 'right';\nexport var left = 'left';\nexport var auto = 'auto';\nexport var basePlacements = [top, bottom, right, left];\nexport var start = 'start';\nexport var end = 'end';\nexport var clippingParents = 'clippingParents';\nexport var viewport = 'viewport';\nexport var popper = 'popper';\nexport var reference = 'reference';\nexport var variationPlacements = /*#__PURE__*/basePlacements.reduce(function (acc, placement) {\n  return acc.concat([placement + \"-\" + start, placement + \"-\" + end]);\n}, []);\nexport var placements = /*#__PURE__*/[].concat(basePlacements, [auto]).reduce(function (acc, placement) {\n  return acc.concat([placement, placement + \"-\" + start, placement + \"-\" + end]);\n}, []); // modifiers that need to read the DOM\n\nexport var beforeRead = 'beforeRead';\nexport var read = 'read';\nexport var afterRead = 'afterRead'; // pure-logic modifiers\n\nexport var beforeMain = 'beforeMain';\nexport var main = 'main';\nexport var afterMain = 'afterMain'; // modifier with the purpose to write to the DOM (or write into a framework state)\n\nexport var beforeWrite = 'beforeWrite';\nexport var write = 'write';\nexport var afterWrite = 'afterWrite';\nexport var modifierPhases = [beforeRead, read, afterRead, beforeMain, main, afterMain, beforeWrite, write, afterWrite];","export default function getNodeName(element) {\n  return element ? (element.nodeName || '').toLowerCase() : null;\n}","export default function getWindow(node) {\n  if (node == null) {\n    return window;\n  }\n\n  if (node.toString() !== '[object Window]') {\n    var ownerDocument = node.ownerDocument;\n    return ownerDocument ? ownerDocument.defaultView || window : window;\n  }\n\n  return node;\n}","import getWindow from \"./getWindow.js\";\n\nfunction isElement(node) {\n  var OwnElement = getWindow(node).Element;\n  return node instanceof OwnElement || node instanceof Element;\n}\n\nfunction isHTMLElement(node) {\n  var OwnElement = getWindow(node).HTMLElement;\n  return node instanceof OwnElement || node instanceof HTMLElement;\n}\n\nfunction isShadowRoot(node) {\n  // IE 11 has no ShadowRoot\n  if (typeof ShadowRoot === 'undefined') {\n    return false;\n  }\n\n  var OwnElement = getWindow(node).ShadowRoot;\n  return node instanceof OwnElement || node instanceof ShadowRoot;\n}\n\nexport { isElement, isHTMLElement, isShadowRoot };","import getNodeName from \"../dom-utils/getNodeName.js\";\nimport { isHTMLElement } from \"../dom-utils/instanceOf.js\"; // This modifier takes the styles prepared by the `computeStyles` modifier\n// and applies them to the HTMLElements such as popper and arrow\n\nfunction applyStyles(_ref) {\n  var state = _ref.state;\n  Object.keys(state.elements).forEach(function (name) {\n    var style = state.styles[name] || {};\n    var attributes = state.attributes[name] || {};\n    var element = state.elements[name]; // arrow is optional + virtual elements\n\n    if (!isHTMLElement(element) || !getNodeName(element)) {\n      return;\n    } // Flow doesn't support to extend this property, but it's the most\n    // effective way to apply styles to an HTMLElement\n    // $FlowFixMe[cannot-write]\n\n\n    Object.assign(element.style, style);\n    Object.keys(attributes).forEach(function (name) {\n      var value = attributes[name];\n\n      if (value === false) {\n        element.removeAttribute(name);\n      } else {\n        element.setAttribute(name, value === true ? '' : value);\n      }\n    });\n  });\n}\n\nfunction effect(_ref2) {\n  var state = _ref2.state;\n  var initialStyles = {\n    popper: {\n      position: state.options.strategy,\n      left: '0',\n      top: '0',\n      margin: '0'\n    },\n    arrow: {\n      position: 'absolute'\n    },\n    reference: {}\n  };\n  Object.assign(state.elements.popper.style, initialStyles.popper);\n  state.styles = initialStyles;\n\n  if (state.elements.arrow) {\n    Object.assign(state.elements.arrow.style, initialStyles.arrow);\n  }\n\n  return function () {\n    Object.keys(state.elements).forEach(function (name) {\n      var element = state.elements[name];\n      var attributes = state.attributes[name] || {};\n      var styleProperties = Object.keys(state.styles.hasOwnProperty(name) ? state.styles[name] : initialStyles[name]); // Set all values to an empty string to unset them\n\n      var style = styleProperties.reduce(function (style, property) {\n        style[property] = '';\n        return style;\n      }, {}); // arrow is optional + virtual elements\n\n      if (!isHTMLElement(element) || !getNodeName(element)) {\n        return;\n      }\n\n      Object.assign(element.style, style);\n      Object.keys(attributes).forEach(function (attribute) {\n        element.removeAttribute(attribute);\n      });\n    });\n  };\n} // eslint-disable-next-line import/no-unused-modules\n\n\nexport default {\n  name: 'applyStyles',\n  enabled: true,\n  phase: 'write',\n  fn: applyStyles,\n  effect: effect,\n  requires: ['computeStyles']\n};","import { auto } from \"../enums.js\";\nexport default function getBasePlacement(placement) {\n  return placement.split('-')[0];\n}","export var max = Math.max;\nexport var min = Math.min;\nexport var round = Math.round;","export default function getUAString() {\n  var uaData = navigator.userAgentData;\n\n  if (uaData != null && uaData.brands) {\n    return uaData.brands.map(function (item) {\n      return item.brand + \"/\" + item.version;\n    }).join(' ');\n  }\n\n  return navigator.userAgent;\n}","import getUAString from \"../utils/userAgent.js\";\nexport default function isLayoutViewport() {\n  return !/^((?!chrome|android).)*safari/i.test(getUAString());\n}","import { isElement, isHTMLElement } from \"./instanceOf.js\";\nimport { round } from \"../utils/math.js\";\nimport getWindow from \"./getWindow.js\";\nimport isLayoutViewport from \"./isLayoutViewport.js\";\nexport default function getBoundingClientRect(element, includeScale, isFixedStrategy) {\n  if (includeScale === void 0) {\n    includeScale = false;\n  }\n\n  if (isFixedStrategy === void 0) {\n    isFixedStrategy = false;\n  }\n\n  var clientRect = element.getBoundingClientRect();\n  var scaleX = 1;\n  var scaleY = 1;\n\n  if (includeScale && isHTMLElement(element)) {\n    scaleX = element.offsetWidth > 0 ? round(clientRect.width) / element.offsetWidth || 1 : 1;\n    scaleY = element.offsetHeight > 0 ? round(clientRect.height) / element.offsetHeight || 1 : 1;\n  }\n\n  var _ref = isElement(element) ? getWindow(element) : window,\n      visualViewport = _ref.visualViewport;\n\n  var addVisualOffsets = !isLayoutViewport() && isFixedStrategy;\n  var x = (clientRect.left + (addVisualOffsets && visualViewport ? visualViewport.offsetLeft : 0)) / scaleX;\n  var y = (clientRect.top + (addVisualOffsets && visualViewport ? visualViewport.offsetTop : 0)) / scaleY;\n  var width = clientRect.width / scaleX;\n  var height = clientRect.height / scaleY;\n  return {\n    width: width,\n    height: height,\n    top: y,\n    right: x + width,\n    bottom: y + height,\n    left: x,\n    x: x,\n    y: y\n  };\n}","import getBoundingClientRect from \"./getBoundingClientRect.js\"; // Returns the layout rect of an element relative to its offsetParent. Layout\n// means it doesn't take into account transforms.\n\nexport default function getLayoutRect(element) {\n  var clientRect = getBoundingClientRect(element); // Use the clientRect sizes if it's not been transformed.\n  // Fixes https://github.com/popperjs/popper-core/issues/1223\n\n  var width = element.offsetWidth;\n  var height = element.offsetHeight;\n\n  if (Math.abs(clientRect.width - width) <= 1) {\n    width = clientRect.width;\n  }\n\n  if (Math.abs(clientRect.height - height) <= 1) {\n    height = clientRect.height;\n  }\n\n  return {\n    x: element.offsetLeft,\n    y: element.offsetTop,\n    width: width,\n    height: height\n  };\n}","import { isShadowRoot } from \"./instanceOf.js\";\nexport default function contains(parent, child) {\n  var rootNode = child.getRootNode && child.getRootNode(); // First, attempt with faster native method\n\n  if (parent.contains(child)) {\n    return true;\n  } // then fallback to custom implementation with Shadow DOM support\n  else if (rootNode && isShadowRoot(rootNode)) {\n      var next = child;\n\n      do {\n        if (next && parent.isSameNode(next)) {\n          return true;\n        } // $FlowFixMe[prop-missing]: need a better way to handle this...\n\n\n        next = next.parentNode || next.host;\n      } while (next);\n    } // Give up, the result is false\n\n\n  return false;\n}","import getWindow from \"./getWindow.js\";\nexport default function getComputedStyle(element) {\n  return getWindow(element).getComputedStyle(element);\n}","import getNodeName from \"./getNodeName.js\";\nexport default function isTableElement(element) {\n  return ['table', 'td', 'th'].indexOf(getNodeName(element)) >= 0;\n}","import { isElement } from \"./instanceOf.js\";\nexport default function getDocumentElement(element) {\n  // $FlowFixMe[incompatible-return]: assume body is always available\n  return ((isElement(element) ? element.ownerDocument : // $FlowFixMe[prop-missing]\n  element.document) || window.document).documentElement;\n}","import getNodeName from \"./getNodeName.js\";\nimport getDocumentElement from \"./getDocumentElement.js\";\nimport { isShadowRoot } from \"./instanceOf.js\";\nexport default function getParentNode(element) {\n  if (getNodeName(element) === 'html') {\n    return element;\n  }\n\n  return (// this is a quicker (but less type safe) way to save quite some bytes from the bundle\n    // $FlowFixMe[incompatible-return]\n    // $FlowFixMe[prop-missing]\n    element.assignedSlot || // step into the shadow DOM of the parent of a slotted node\n    element.parentNode || ( // DOM Element detected\n    isShadowRoot(element) ? element.host : null) || // ShadowRoot detected\n    // $FlowFixMe[incompatible-call]: HTMLElement is a Node\n    getDocumentElement(element) // fallback\n\n  );\n}","import getWindow from \"./getWindow.js\";\nimport getNodeName from \"./getNodeName.js\";\nimport getComputedStyle from \"./getComputedStyle.js\";\nimport { isHTMLElement, isShadowRoot } from \"./instanceOf.js\";\nimport isTableElement from \"./isTableElement.js\";\nimport getParentNode from \"./getParentNode.js\";\nimport getUAString from \"../utils/userAgent.js\";\n\nfunction getTrueOffsetParent(element) {\n  if (!isHTMLElement(element) || // https://github.com/popperjs/popper-core/issues/837\n  getComputedStyle(element).position === 'fixed') {\n    return null;\n  }\n\n  return element.offsetParent;\n} // `.offsetParent` reports `null` for fixed elements, while absolute elements\n// return the containing block\n\n\nfunction getContainingBlock(element) {\n  var isFirefox = /firefox/i.test(getUAString());\n  var isIE = /Trident/i.test(getUAString());\n\n  if (isIE && isHTMLElement(element)) {\n    // In IE 9, 10 and 11 fixed elements containing block is always established by the viewport\n    var elementCss = getComputedStyle(element);\n\n    if (elementCss.position === 'fixed') {\n      return null;\n    }\n  }\n\n  var currentNode = getParentNode(element);\n\n  if (isShadowRoot(currentNode)) {\n    currentNode = currentNode.host;\n  }\n\n  while (isHTMLElement(currentNode) && ['html', 'body'].indexOf(getNodeName(currentNode)) < 0) {\n    var css = getComputedStyle(currentNode); // This is non-exhaustive but covers the most common CSS properties that\n    // create a containing block.\n    // https://developer.mozilla.org/en-US/docs/Web/CSS/Containing_block#identifying_the_containing_block\n\n    if (css.transform !== 'none' || css.perspective !== 'none' || css.contain === 'paint' || ['transform', 'perspective'].indexOf(css.willChange) !== -1 || isFirefox && css.willChange === 'filter' || isFirefox && css.filter && css.filter !== 'none') {\n      return currentNode;\n    } else {\n      currentNode = currentNode.parentNode;\n    }\n  }\n\n  return null;\n} // Gets the closest ancestor positioned element. Handles some edge cases,\n// such as table ancestors and cross browser bugs.\n\n\nexport default function getOffsetParent(element) {\n  var window = getWindow(element);\n  var offsetParent = getTrueOffsetParent(element);\n\n  while (offsetParent && isTableElement(offsetParent) && getComputedStyle(offsetParent).position === 'static') {\n    offsetParent = getTrueOffsetParent(offsetParent);\n  }\n\n  if (offsetParent && (getNodeName(offsetParent) === 'html' || getNodeName(offsetParent) === 'body' && getComputedStyle(offsetParent).position === 'static')) {\n    return window;\n  }\n\n  return offsetParent || getContainingBlock(element) || window;\n}","export default function getMainAxisFromPlacement(placement) {\n  return ['top', 'bottom'].indexOf(placement) >= 0 ? 'x' : 'y';\n}","import { max as mathMax, min as mathMin } from \"./math.js\";\nexport function within(min, value, max) {\n  return mathMax(min, mathMin(value, max));\n}\nexport function withinMaxClamp(min, value, max) {\n  var v = within(min, value, max);\n  return v > max ? max : v;\n}","import getFreshSideObject from \"./getFreshSideObject.js\";\nexport default function mergePaddingObject(paddingObject) {\n  return Object.assign({}, getFreshSideObject(), paddingObject);\n}","export default function getFreshSideObject() {\n  return {\n    top: 0,\n    right: 0,\n    bottom: 0,\n    left: 0\n  };\n}","export default function expandToHashMap(value, keys) {\n  return keys.reduce(function (hashMap, key) {\n    hashMap[key] = value;\n    return hashMap;\n  }, {});\n}","import getBasePlacement from \"../utils/getBasePlacement.js\";\nimport getLayoutRect from \"../dom-utils/getLayoutRect.js\";\nimport contains from \"../dom-utils/contains.js\";\nimport getOffsetParent from \"../dom-utils/getOffsetParent.js\";\nimport getMainAxisFromPlacement from \"../utils/getMainAxisFromPlacement.js\";\nimport { within } from \"../utils/within.js\";\nimport mergePaddingObject from \"../utils/mergePaddingObject.js\";\nimport expandToHashMap from \"../utils/expandToHashMap.js\";\nimport { left, right, basePlacements, top, bottom } from \"../enums.js\";\nimport { isHTMLElement } from \"../dom-utils/instanceOf.js\"; // eslint-disable-next-line import/no-unused-modules\n\nvar toPaddingObject = function toPaddingObject(padding, state) {\n  padding = typeof padding === 'function' ? padding(Object.assign({}, state.rects, {\n    placement: state.placement\n  })) : padding;\n  return mergePaddingObject(typeof padding !== 'number' ? padding : expandToHashMap(padding, basePlacements));\n};\n\nfunction arrow(_ref) {\n  var _state$modifiersData$;\n\n  var state = _ref.state,\n      name = _ref.name,\n      options = _ref.options;\n  var arrowElement = state.elements.arrow;\n  var popperOffsets = state.modifiersData.popperOffsets;\n  var basePlacement = getBasePlacement(state.placement);\n  var axis = getMainAxisFromPlacement(basePlacement);\n  var isVertical = [left, right].indexOf(basePlacement) >= 0;\n  var len = isVertical ? 'height' : 'width';\n\n  if (!arrowElement || !popperOffsets) {\n    return;\n  }\n\n  var paddingObject = toPaddingObject(options.padding, state);\n  var arrowRect = getLayoutRect(arrowElement);\n  var minProp = axis === 'y' ? top : left;\n  var maxProp = axis === 'y' ? bottom : right;\n  var endDiff = state.rects.reference[len] + state.rects.reference[axis] - popperOffsets[axis] - state.rects.popper[len];\n  var startDiff = popperOffsets[axis] - state.rects.reference[axis];\n  var arrowOffsetParent = getOffsetParent(arrowElement);\n  var clientSize = arrowOffsetParent ? axis === 'y' ? arrowOffsetParent.clientHeight || 0 : arrowOffsetParent.clientWidth || 0 : 0;\n  var centerToReference = endDiff / 2 - startDiff / 2; // Make sure the arrow doesn't overflow the popper if the center point is\n  // outside of the popper bounds\n\n  var min = paddingObject[minProp];\n  var max = clientSize - arrowRect[len] - paddingObject[maxProp];\n  var center = clientSize / 2 - arrowRect[len] / 2 + centerToReference;\n  var offset = within(min, center, max); // Prevents breaking syntax highlighting...\n\n  var axisProp = axis;\n  state.modifiersData[name] = (_state$modifiersData$ = {}, _state$modifiersData$[axisProp] = offset, _state$modifiersData$.centerOffset = offset - center, _state$modifiersData$);\n}\n\nfunction effect(_ref2) {\n  var state = _ref2.state,\n      options = _ref2.options;\n  var _options$element = options.element,\n      arrowElement = _options$element === void 0 ? '[data-popper-arrow]' : _options$element;\n\n  if (arrowElement == null) {\n    return;\n  } // CSS selector\n\n\n  if (typeof arrowElement === 'string') {\n    arrowElement = state.elements.popper.querySelector(arrowElement);\n\n    if (!arrowElement) {\n      return;\n    }\n  }\n\n  if (process.env.NODE_ENV !== \"production\") {\n    if (!isHTMLElement(arrowElement)) {\n      console.error(['Popper: \"arrow\" element must be an HTMLElement (not an SVGElement).', 'To use an SVG arrow, wrap it in an HTMLElement that will be used as', 'the arrow.'].join(' '));\n    }\n  }\n\n  if (!contains(state.elements.popper, arrowElement)) {\n    if (process.env.NODE_ENV !== \"production\") {\n      console.error(['Popper: \"arrow\" modifier\\'s `element` must be a child of the popper', 'element.'].join(' '));\n    }\n\n    return;\n  }\n\n  state.elements.arrow = arrowElement;\n} // eslint-disable-next-line import/no-unused-modules\n\n\nexport default {\n  name: 'arrow',\n  enabled: true,\n  phase: 'main',\n  fn: arrow,\n  effect: effect,\n  requires: ['popperOffsets'],\n  requiresIfExists: ['preventOverflow']\n};","export default function getVariation(placement) {\n  return placement.split('-')[1];\n}","import { top, left, right, bottom, end } from \"../enums.js\";\nimport getOffsetParent from \"../dom-utils/getOffsetParent.js\";\nimport getWindow from \"../dom-utils/getWindow.js\";\nimport getDocumentElement from \"../dom-utils/getDocumentElement.js\";\nimport getComputedStyle from \"../dom-utils/getComputedStyle.js\";\nimport getBasePlacement from \"../utils/getBasePlacement.js\";\nimport getVariation from \"../utils/getVariation.js\";\nimport { round } from \"../utils/math.js\"; // eslint-disable-next-line import/no-unused-modules\n\nvar unsetSides = {\n  top: 'auto',\n  right: 'auto',\n  bottom: 'auto',\n  left: 'auto'\n}; // Round the offsets to the nearest suitable subpixel based on the DPR.\n// Zooming can change the DPR, but it seems to report a value that will\n// cleanly divide the values into the appropriate subpixels.\n\nfunction roundOffsetsByDPR(_ref) {\n  var x = _ref.x,\n      y = _ref.y;\n  var win = window;\n  var dpr = win.devicePixelRatio || 1;\n  return {\n    x: round(x * dpr) / dpr || 0,\n    y: round(y * dpr) / dpr || 0\n  };\n}\n\nexport function mapToStyles(_ref2) {\n  var _Object$assign2;\n\n  var popper = _ref2.popper,\n      popperRect = _ref2.popperRect,\n      placement = _ref2.placement,\n      variation = _ref2.variation,\n      offsets = _ref2.offsets,\n      position = _ref2.position,\n      gpuAcceleration = _ref2.gpuAcceleration,\n      adaptive = _ref2.adaptive,\n      roundOffsets = _ref2.roundOffsets,\n      isFixed = _ref2.isFixed;\n  var _offsets$x = offsets.x,\n      x = _offsets$x === void 0 ? 0 : _offsets$x,\n      _offsets$y = offsets.y,\n      y = _offsets$y === void 0 ? 0 : _offsets$y;\n\n  var _ref3 = typeof roundOffsets === 'function' ? roundOffsets({\n    x: x,\n    y: y\n  }) : {\n    x: x,\n    y: y\n  };\n\n  x = _ref3.x;\n  y = _ref3.y;\n  var hasX = offsets.hasOwnProperty('x');\n  var hasY = offsets.hasOwnProperty('y');\n  var sideX = left;\n  var sideY = top;\n  var win = window;\n\n  if (adaptive) {\n    var offsetParent = getOffsetParent(popper);\n    var heightProp = 'clientHeight';\n    var widthProp = 'clientWidth';\n\n    if (offsetParent === getWindow(popper)) {\n      offsetParent = getDocumentElement(popper);\n\n      if (getComputedStyle(offsetParent).position !== 'static' && position === 'absolute') {\n        heightProp = 'scrollHeight';\n        widthProp = 'scrollWidth';\n      }\n    } // $FlowFixMe[incompatible-cast]: force type refinement, we compare offsetParent with window above, but Flow doesn't detect it\n\n\n    offsetParent = offsetParent;\n\n    if (placement === top || (placement === left || placement === right) && variation === end) {\n      sideY = bottom;\n      var offsetY = isFixed && offsetParent === win && win.visualViewport ? win.visualViewport.height : // $FlowFixMe[prop-missing]\n      offsetParent[heightProp];\n      y -= offsetY - popperRect.height;\n      y *= gpuAcceleration ? 1 : -1;\n    }\n\n    if (placement === left || (placement === top || placement === bottom) && variation === end) {\n      sideX = right;\n      var offsetX = isFixed && offsetParent === win && win.visualViewport ? win.visualViewport.width : // $FlowFixMe[prop-missing]\n      offsetParent[widthProp];\n      x -= offsetX - popperRect.width;\n      x *= gpuAcceleration ? 1 : -1;\n    }\n  }\n\n  var commonStyles = Object.assign({\n    position: position\n  }, adaptive && unsetSides);\n\n  var _ref4 = roundOffsets === true ? roundOffsetsByDPR({\n    x: x,\n    y: y\n  }) : {\n    x: x,\n    y: y\n  };\n\n  x = _ref4.x;\n  y = _ref4.y;\n\n  if (gpuAcceleration) {\n    var _Object$assign;\n\n    return Object.assign({}, commonStyles, (_Object$assign = {}, _Object$assign[sideY] = hasY ? '0' : '', _Object$assign[sideX] = hasX ? '0' : '', _Object$assign.transform = (win.devicePixelRatio || 1) <= 1 ? \"translate(\" + x + \"px, \" + y + \"px)\" : \"translate3d(\" + x + \"px, \" + y + \"px, 0)\", _Object$assign));\n  }\n\n  return Object.assign({}, commonStyles, (_Object$assign2 = {}, _Object$assign2[sideY] = hasY ? y + \"px\" : '', _Object$assign2[sideX] = hasX ? x + \"px\" : '', _Object$assign2.transform = '', _Object$assign2));\n}\n\nfunction computeStyles(_ref5) {\n  var state = _ref5.state,\n      options = _ref5.options;\n  var _options$gpuAccelerat = options.gpuAcceleration,\n      gpuAcceleration = _options$gpuAccelerat === void 0 ? true : _options$gpuAccelerat,\n      _options$adaptive = options.adaptive,\n      adaptive = _options$adaptive === void 0 ? true : _options$adaptive,\n      _options$roundOffsets = options.roundOffsets,\n      roundOffsets = _options$roundOffsets === void 0 ? true : _options$roundOffsets;\n\n  if (process.env.NODE_ENV !== \"production\") {\n    var transitionProperty = getComputedStyle(state.elements.popper).transitionProperty || '';\n\n    if (adaptive && ['transform', 'top', 'right', 'bottom', 'left'].some(function (property) {\n      return transitionProperty.indexOf(property) >= 0;\n    })) {\n      console.warn(['Popper: Detected CSS transitions on at least one of the following', 'CSS properties: \"transform\", \"top\", \"right\", \"bottom\", \"left\".', '\\n\\n', 'Disable the \"computeStyles\" modifier\\'s `adaptive` option to allow', 'for smooth transitions, or remove these properties from the CSS', 'transition declaration on the popper element if only transitioning', 'opacity or background-color for example.', '\\n\\n', 'We recommend using the popper element as a wrapper around an inner', 'element that can have any CSS property transitioned for animations.'].join(' '));\n    }\n  }\n\n  var commonStyles = {\n    placement: getBasePlacement(state.placement),\n    variation: getVariation(state.placement),\n    popper: state.elements.popper,\n    popperRect: state.rects.popper,\n    gpuAcceleration: gpuAcceleration,\n    isFixed: state.options.strategy === 'fixed'\n  };\n\n  if (state.modifiersData.popperOffsets != null) {\n    state.styles.popper = Object.assign({}, state.styles.popper, mapToStyles(Object.assign({}, commonStyles, {\n      offsets: state.modifiersData.popperOffsets,\n      position: state.options.strategy,\n      adaptive: adaptive,\n      roundOffsets: roundOffsets\n    })));\n  }\n\n  if (state.modifiersData.arrow != null) {\n    state.styles.arrow = Object.assign({}, state.styles.arrow, mapToStyles(Object.assign({}, commonStyles, {\n      offsets: state.modifiersData.arrow,\n      position: 'absolute',\n      adaptive: false,\n      roundOffsets: roundOffsets\n    })));\n  }\n\n  state.attributes.popper = Object.assign({}, state.attributes.popper, {\n    'data-popper-placement': state.placement\n  });\n} // eslint-disable-next-line import/no-unused-modules\n\n\nexport default {\n  name: 'computeStyles',\n  enabled: true,\n  phase: 'beforeWrite',\n  fn: computeStyles,\n  data: {}\n};","import getWindow from \"../dom-utils/getWindow.js\"; // eslint-disable-next-line import/no-unused-modules\n\nvar passive = {\n  passive: true\n};\n\nfunction effect(_ref) {\n  var state = _ref.state,\n      instance = _ref.instance,\n      options = _ref.options;\n  var _options$scroll = options.scroll,\n      scroll = _options$scroll === void 0 ? true : _options$scroll,\n      _options$resize = options.resize,\n      resize = _options$resize === void 0 ? true : _options$resize;\n  var window = getWindow(state.elements.popper);\n  var scrollParents = [].concat(state.scrollParents.reference, state.scrollParents.popper);\n\n  if (scroll) {\n    scrollParents.forEach(function (scrollParent) {\n      scrollParent.addEventListener('scroll', instance.update, passive);\n    });\n  }\n\n  if (resize) {\n    window.addEventListener('resize', instance.update, passive);\n  }\n\n  return function () {\n    if (scroll) {\n      scrollParents.forEach(function (scrollParent) {\n        scrollParent.removeEventListener('scroll', instance.update, passive);\n      });\n    }\n\n    if (resize) {\n      window.removeEventListener('resize', instance.update, passive);\n    }\n  };\n} // eslint-disable-next-line import/no-unused-modules\n\n\nexport default {\n  name: 'eventListeners',\n  enabled: true,\n  phase: 'write',\n  fn: function fn() {},\n  effect: effect,\n  data: {}\n};","var hash = {\n  left: 'right',\n  right: 'left',\n  bottom: 'top',\n  top: 'bottom'\n};\nexport default function getOppositePlacement(placement) {\n  return placement.replace(/left|right|bottom|top/g, function (matched) {\n    return hash[matched];\n  });\n}","var hash = {\n  start: 'end',\n  end: 'start'\n};\nexport default function getOppositeVariationPlacement(placement) {\n  return placement.replace(/start|end/g, function (matched) {\n    return hash[matched];\n  });\n}","import getWindow from \"./getWindow.js\";\nexport default function getWindowScroll(node) {\n  var win = getWindow(node);\n  var scrollLeft = win.pageXOffset;\n  var scrollTop = win.pageYOffset;\n  return {\n    scrollLeft: scrollLeft,\n    scrollTop: scrollTop\n  };\n}","import getBoundingClientRect from \"./getBoundingClientRect.js\";\nimport getDocumentElement from \"./getDocumentElement.js\";\nimport getWindowScroll from \"./getWindowScroll.js\";\nexport default function getWindowScrollBarX(element) {\n  // If <html> has a CSS width greater than the viewport, then this will be\n  // incorrect for RTL.\n  // Popper 1 is broken in this case and never had a bug report so let's assume\n  // it's not an issue. I don't think anyone ever specifies width on <html>\n  // anyway.\n  // Browsers where the left scrollbar doesn't cause an issue report `0` for\n  // this (e.g. Edge 2019, IE11, Safari)\n  return getBoundingClientRect(getDocumentElement(element)).left + getWindowScroll(element).scrollLeft;\n}","import getComputedStyle from \"./getComputedStyle.js\";\nexport default function isScrollParent(element) {\n  // Firefox wants us to check `-x` and `-y` variations as well\n  var _getComputedStyle = getComputedStyle(element),\n      overflow = _getComputedStyle.overflow,\n      overflowX = _getComputedStyle.overflowX,\n      overflowY = _getComputedStyle.overflowY;\n\n  return /auto|scroll|overlay|hidden/.test(overflow + overflowY + overflowX);\n}","import getParentNode from \"./getParentNode.js\";\nimport isScrollParent from \"./isScrollParent.js\";\nimport getNodeName from \"./getNodeName.js\";\nimport { isHTMLElement } from \"./instanceOf.js\";\nexport default function getScrollParent(node) {\n  if (['html', 'body', '#document'].indexOf(getNodeName(node)) >= 0) {\n    // $FlowFixMe[incompatible-return]: assume body is always available\n    return node.ownerDocument.body;\n  }\n\n  if (isHTMLElement(node) && isScrollParent(node)) {\n    return node;\n  }\n\n  return getScrollParent(getParentNode(node));\n}","import getScrollParent from \"./getScrollParent.js\";\nimport getParentNode from \"./getParentNode.js\";\nimport getWindow from \"./getWindow.js\";\nimport isScrollParent from \"./isScrollParent.js\";\n/*\ngiven a DOM element, return the list of all scroll parents, up the list of ancesors\nuntil we get to the top window object. This list is what we attach scroll listeners\nto, because if any of these parent elements scroll, we'll need to re-calculate the\nreference element's position.\n*/\n\nexport default function listScrollParents(element, list) {\n  var _element$ownerDocumen;\n\n  if (list === void 0) {\n    list = [];\n  }\n\n  var scrollParent = getScrollParent(element);\n  var isBody = scrollParent === ((_element$ownerDocumen = element.ownerDocument) == null ? void 0 : _element$ownerDocumen.body);\n  var win = getWindow(scrollParent);\n  var target = isBody ? [win].concat(win.visualViewport || [], isScrollParent(scrollParent) ? scrollParent : []) : scrollParent;\n  var updatedList = list.concat(target);\n  return isBody ? updatedList : // $FlowFixMe[incompatible-call]: isBody tells us target will be an HTMLElement here\n  updatedList.concat(listScrollParents(getParentNode(target)));\n}","export default function rectToClientRect(rect) {\n  return Object.assign({}, rect, {\n    left: rect.x,\n    top: rect.y,\n    right: rect.x + rect.width,\n    bottom: rect.y + rect.height\n  });\n}","import { viewport } from \"../enums.js\";\nimport getViewportRect from \"./getViewportRect.js\";\nimport getDocumentRect from \"./getDocumentRect.js\";\nimport listScrollParents from \"./listScrollParents.js\";\nimport getOffsetParent from \"./getOffsetParent.js\";\nimport getDocumentElement from \"./getDocumentElement.js\";\nimport getComputedStyle from \"./getComputedStyle.js\";\nimport { isElement, isHTMLElement } from \"./instanceOf.js\";\nimport getBoundingClientRect from \"./getBoundingClientRect.js\";\nimport getParentNode from \"./getParentNode.js\";\nimport contains from \"./contains.js\";\nimport getNodeName from \"./getNodeName.js\";\nimport rectToClientRect from \"../utils/rectToClientRect.js\";\nimport { max, min } from \"../utils/math.js\";\n\nfunction getInnerBoundingClientRect(element, strategy) {\n  var rect = getBoundingClientRect(element, false, strategy === 'fixed');\n  rect.top = rect.top + element.clientTop;\n  rect.left = rect.left + element.clientLeft;\n  rect.bottom = rect.top + element.clientHeight;\n  rect.right = rect.left + element.clientWidth;\n  rect.width = element.clientWidth;\n  rect.height = element.clientHeight;\n  rect.x = rect.left;\n  rect.y = rect.top;\n  return rect;\n}\n\nfunction getClientRectFromMixedType(element, clippingParent, strategy) {\n  return clippingParent === viewport ? rectToClientRect(getViewportRect(element, strategy)) : isElement(clippingParent) ? getInnerBoundingClientRect(clippingParent, strategy) : rectToClientRect(getDocumentRect(getDocumentElement(element)));\n} // A \"clipping parent\" is an overflowable container with the characteristic of\n// clipping (or hiding) overflowing elements with a position different from\n// `initial`\n\n\nfunction getClippingParents(element) {\n  var clippingParents = listScrollParents(getParentNode(element));\n  var canEscapeClipping = ['absolute', 'fixed'].indexOf(getComputedStyle(element).position) >= 0;\n  var clipperElement = canEscapeClipping && isHTMLElement(element) ? getOffsetParent(element) : element;\n\n  if (!isElement(clipperElement)) {\n    return [];\n  } // $FlowFixMe[incompatible-return]: https://github.com/facebook/flow/issues/1414\n\n\n  return clippingParents.filter(function (clippingParent) {\n    return isElement(clippingParent) && contains(clippingParent, clipperElement) && getNodeName(clippingParent) !== 'body';\n  });\n} // Gets the maximum area that the element is visible in due to any number of\n// clipping parents\n\n\nexport default function getClippingRect(element, boundary, rootBoundary, strategy) {\n  var mainClippingParents = boundary === 'clippingParents' ? getClippingParents(element) : [].concat(boundary);\n  var clippingParents = [].concat(mainClippingParents, [rootBoundary]);\n  var firstClippingParent = clippingParents[0];\n  var clippingRect = clippingParents.reduce(function (accRect, clippingParent) {\n    var rect = getClientRectFromMixedType(element, clippingParent, strategy);\n    accRect.top = max(rect.top, accRect.top);\n    accRect.right = min(rect.right, accRect.right);\n    accRect.bottom = min(rect.bottom, accRect.bottom);\n    accRect.left = max(rect.left, accRect.left);\n    return accRect;\n  }, getClientRectFromMixedType(element, firstClippingParent, strategy));\n  clippingRect.width = clippingRect.right - clippingRect.left;\n  clippingRect.height = clippingRect.bottom - clippingRect.top;\n  clippingRect.x = clippingRect.left;\n  clippingRect.y = clippingRect.top;\n  return clippingRect;\n}","import getWindow from \"./getWindow.js\";\nimport getDocumentElement from \"./getDocumentElement.js\";\nimport getWindowScrollBarX from \"./getWindowScrollBarX.js\";\nimport isLayoutViewport from \"./isLayoutViewport.js\";\nexport default function getViewportRect(element, strategy) {\n  var win = getWindow(element);\n  var html = getDocumentElement(element);\n  var visualViewport = win.visualViewport;\n  var width = html.clientWidth;\n  var height = html.clientHeight;\n  var x = 0;\n  var y = 0;\n\n  if (visualViewport) {\n    width = visualViewport.width;\n    height = visualViewport.height;\n    var layoutViewport = isLayoutViewport();\n\n    if (layoutViewport || !layoutViewport && strategy === 'fixed') {\n      x = visualViewport.offsetLeft;\n      y = visualViewport.offsetTop;\n    }\n  }\n\n  return {\n    width: width,\n    height: height,\n    x: x + getWindowScrollBarX(element),\n    y: y\n  };\n}","import getDocumentElement from \"./getDocumentElement.js\";\nimport getComputedStyle from \"./getComputedStyle.js\";\nimport getWindowScrollBarX from \"./getWindowScrollBarX.js\";\nimport getWindowScroll from \"./getWindowScroll.js\";\nimport { max } from \"../utils/math.js\"; // Gets the entire size of the scrollable document area, even extending outside\n// of the `<html>` and `<body>` rect bounds if horizontally scrollable\n\nexport default function getDocumentRect(element) {\n  var _element$ownerDocumen;\n\n  var html = getDocumentElement(element);\n  var winScroll = getWindowScroll(element);\n  var body = (_element$ownerDocumen = element.ownerDocument) == null ? void 0 : _element$ownerDocumen.body;\n  var width = max(html.scrollWidth, html.clientWidth, body ? body.scrollWidth : 0, body ? body.clientWidth : 0);\n  var height = max(html.scrollHeight, html.clientHeight, body ? body.scrollHeight : 0, body ? body.clientHeight : 0);\n  var x = -winScroll.scrollLeft + getWindowScrollBarX(element);\n  var y = -winScroll.scrollTop;\n\n  if (getComputedStyle(body || html).direction === 'rtl') {\n    x += max(html.clientWidth, body ? body.clientWidth : 0) - width;\n  }\n\n  return {\n    width: width,\n    height: height,\n    x: x,\n    y: y\n  };\n}","import getBasePlacement from \"./getBasePlacement.js\";\nimport getVariation from \"./getVariation.js\";\nimport getMainAxisFromPlacement from \"./getMainAxisFromPlacement.js\";\nimport { top, right, bottom, left, start, end } from \"../enums.js\";\nexport default function computeOffsets(_ref) {\n  var reference = _ref.reference,\n      element = _ref.element,\n      placement = _ref.placement;\n  var basePlacement = placement ? getBasePlacement(placement) : null;\n  var variation = placement ? getVariation(placement) : null;\n  var commonX = reference.x + reference.width / 2 - element.width / 2;\n  var commonY = reference.y + reference.height / 2 - element.height / 2;\n  var offsets;\n\n  switch (basePlacement) {\n    case top:\n      offsets = {\n        x: commonX,\n        y: reference.y - element.height\n      };\n      break;\n\n    case bottom:\n      offsets = {\n        x: commonX,\n        y: reference.y + reference.height\n      };\n      break;\n\n    case right:\n      offsets = {\n        x: reference.x + reference.width,\n        y: commonY\n      };\n      break;\n\n    case left:\n      offsets = {\n        x: reference.x - element.width,\n        y: commonY\n      };\n      break;\n\n    default:\n      offsets = {\n        x: reference.x,\n        y: reference.y\n      };\n  }\n\n  var mainAxis = basePlacement ? getMainAxisFromPlacement(basePlacement) : null;\n\n  if (mainAxis != null) {\n    var len = mainAxis === 'y' ? 'height' : 'width';\n\n    switch (variation) {\n      case start:\n        offsets[mainAxis] = offsets[mainAxis] - (reference[len] / 2 - element[len] / 2);\n        break;\n\n      case end:\n        offsets[mainAxis] = offsets[mainAxis] + (reference[len] / 2 - element[len] / 2);\n        break;\n\n      default:\n    }\n  }\n\n  return offsets;\n}","import getClippingRect from \"../dom-utils/getClippingRect.js\";\nimport getDocumentElement from \"../dom-utils/getDocumentElement.js\";\nimport getBoundingClientRect from \"../dom-utils/getBoundingClientRect.js\";\nimport computeOffsets from \"./computeOffsets.js\";\nimport rectToClientRect from \"./rectToClientRect.js\";\nimport { clippingParents, reference, popper, bottom, top, right, basePlacements, viewport } from \"../enums.js\";\nimport { isElement } from \"../dom-utils/instanceOf.js\";\nimport mergePaddingObject from \"./mergePaddingObject.js\";\nimport expandToHashMap from \"./expandToHashMap.js\"; // eslint-disable-next-line import/no-unused-modules\n\nexport default function detectOverflow(state, options) {\n  if (options === void 0) {\n    options = {};\n  }\n\n  var _options = options,\n      _options$placement = _options.placement,\n      placement = _options$placement === void 0 ? state.placement : _options$placement,\n      _options$strategy = _options.strategy,\n      strategy = _options$strategy === void 0 ? state.strategy : _options$strategy,\n      _options$boundary = _options.boundary,\n      boundary = _options$boundary === void 0 ? clippingParents : _options$boundary,\n      _options$rootBoundary = _options.rootBoundary,\n      rootBoundary = _options$rootBoundary === void 0 ? viewport : _options$rootBoundary,\n      _options$elementConte = _options.elementContext,\n      elementContext = _options$elementConte === void 0 ? popper : _options$elementConte,\n      _options$altBoundary = _options.altBoundary,\n      altBoundary = _options$altBoundary === void 0 ? false : _options$altBoundary,\n      _options$padding = _options.padding,\n      padding = _options$padding === void 0 ? 0 : _options$padding;\n  var paddingObject = mergePaddingObject(typeof padding !== 'number' ? padding : expandToHashMap(padding, basePlacements));\n  var altContext = elementContext === popper ? reference : popper;\n  var popperRect = state.rects.popper;\n  var element = state.elements[altBoundary ? altContext : elementContext];\n  var clippingClientRect = getClippingRect(isElement(element) ? element : element.contextElement || getDocumentElement(state.elements.popper), boundary, rootBoundary, strategy);\n  var referenceClientRect = getBoundingClientRect(state.elements.reference);\n  var popperOffsets = computeOffsets({\n    reference: referenceClientRect,\n    element: popperRect,\n    strategy: 'absolute',\n    placement: placement\n  });\n  var popperClientRect = rectToClientRect(Object.assign({}, popperRect, popperOffsets));\n  var elementClientRect = elementContext === popper ? popperClientRect : referenceClientRect; // positive = overflowing the clipping rect\n  // 0 or negative = within the clipping rect\n\n  var overflowOffsets = {\n    top: clippingClientRect.top - elementClientRect.top + paddingObject.top,\n    bottom: elementClientRect.bottom - clippingClientRect.bottom + paddingObject.bottom,\n    left: clippingClientRect.left - elementClientRect.left + paddingObject.left,\n    right: elementClientRect.right - clippingClientRect.right + paddingObject.right\n  };\n  var offsetData = state.modifiersData.offset; // Offsets can be applied only to the popper element\n\n  if (elementContext === popper && offsetData) {\n    var offset = offsetData[placement];\n    Object.keys(overflowOffsets).forEach(function (key) {\n      var multiply = [right, bottom].indexOf(key) >= 0 ? 1 : -1;\n      var axis = [top, bottom].indexOf(key) >= 0 ? 'y' : 'x';\n      overflowOffsets[key] += offset[axis] * multiply;\n    });\n  }\n\n  return overflowOffsets;\n}","import getVariation from \"./getVariation.js\";\nimport { variationPlacements, basePlacements, placements as allPlacements } from \"../enums.js\";\nimport detectOverflow from \"./detectOverflow.js\";\nimport getBasePlacement from \"./getBasePlacement.js\";\nexport default function computeAutoPlacement(state, options) {\n  if (options === void 0) {\n    options = {};\n  }\n\n  var _options = options,\n      placement = _options.placement,\n      boundary = _options.boundary,\n      rootBoundary = _options.rootBoundary,\n      padding = _options.padding,\n      flipVariations = _options.flipVariations,\n      _options$allowedAutoP = _options.allowedAutoPlacements,\n      allowedAutoPlacements = _options$allowedAutoP === void 0 ? allPlacements : _options$allowedAutoP;\n  var variation = getVariation(placement);\n  var placements = variation ? flipVariations ? variationPlacements : variationPlacements.filter(function (placement) {\n    return getVariation(placement) === variation;\n  }) : basePlacements;\n  var allowedPlacements = placements.filter(function (placement) {\n    return allowedAutoPlacements.indexOf(placement) >= 0;\n  });\n\n  if (allowedPlacements.length === 0) {\n    allowedPlacements = placements;\n\n    if (process.env.NODE_ENV !== \"production\") {\n      console.error(['Popper: The `allowedAutoPlacements` option did not allow any', 'placements. Ensure the `placement` option matches the variation', 'of the allowed placements.', 'For example, \"auto\" cannot be used to allow \"bottom-start\".', 'Use \"auto-start\" instead.'].join(' '));\n    }\n  } // $FlowFixMe[incompatible-type]: Flow seems to have problems with two array unions...\n\n\n  var overflows = allowedPlacements.reduce(function (acc, placement) {\n    acc[placement] = detectOverflow(state, {\n      placement: placement,\n      boundary: boundary,\n      rootBoundary: rootBoundary,\n      padding: padding\n    })[getBasePlacement(placement)];\n    return acc;\n  }, {});\n  return Object.keys(overflows).sort(function (a, b) {\n    return overflows[a] - overflows[b];\n  });\n}","import getOppositePlacement from \"../utils/getOppositePlacement.js\";\nimport getBasePlacement from \"../utils/getBasePlacement.js\";\nimport getOppositeVariationPlacement from \"../utils/getOppositeVariationPlacement.js\";\nimport detectOverflow from \"../utils/detectOverflow.js\";\nimport computeAutoPlacement from \"../utils/computeAutoPlacement.js\";\nimport { bottom, top, start, right, left, auto } from \"../enums.js\";\nimport getVariation from \"../utils/getVariation.js\"; // eslint-disable-next-line import/no-unused-modules\n\nfunction getExpandedFallbackPlacements(placement) {\n  if (getBasePlacement(placement) === auto) {\n    return [];\n  }\n\n  var oppositePlacement = getOppositePlacement(placement);\n  return [getOppositeVariationPlacement(placement), oppositePlacement, getOppositeVariationPlacement(oppositePlacement)];\n}\n\nfunction flip(_ref) {\n  var state = _ref.state,\n      options = _ref.options,\n      name = _ref.name;\n\n  if (state.modifiersData[name]._skip) {\n    return;\n  }\n\n  var _options$mainAxis = options.mainAxis,\n      checkMainAxis = _options$mainAxis === void 0 ? true : _options$mainAxis,\n      _options$altAxis = options.altAxis,\n      checkAltAxis = _options$altAxis === void 0 ? true : _options$altAxis,\n      specifiedFallbackPlacements = options.fallbackPlacements,\n      padding = options.padding,\n      boundary = options.boundary,\n      rootBoundary = options.rootBoundary,\n      altBoundary = options.altBoundary,\n      _options$flipVariatio = options.flipVariations,\n      flipVariations = _options$flipVariatio === void 0 ? true : _options$flipVariatio,\n      allowedAutoPlacements = options.allowedAutoPlacements;\n  var preferredPlacement = state.options.placement;\n  var basePlacement = getBasePlacement(preferredPlacement);\n  var isBasePlacement = basePlacement === preferredPlacement;\n  var fallbackPlacements = specifiedFallbackPlacements || (isBasePlacement || !flipVariations ? [getOppositePlacement(preferredPlacement)] : getExpandedFallbackPlacements(preferredPlacement));\n  var placements = [preferredPlacement].concat(fallbackPlacements).reduce(function (acc, placement) {\n    return acc.concat(getBasePlacement(placement) === auto ? computeAutoPlacement(state, {\n      placement: placement,\n      boundary: boundary,\n      rootBoundary: rootBoundary,\n      padding: padding,\n      flipVariations: flipVariations,\n      allowedAutoPlacements: allowedAutoPlacements\n    }) : placement);\n  }, []);\n  var referenceRect = state.rects.reference;\n  var popperRect = state.rects.popper;\n  var checksMap = new Map();\n  var makeFallbackChecks = true;\n  var firstFittingPlacement = placements[0];\n\n  for (var i = 0; i < placements.length; i++) {\n    var placement = placements[i];\n\n    var _basePlacement = getBasePlacement(placement);\n\n    var isStartVariation = getVariation(placement) === start;\n    var isVertical = [top, bottom].indexOf(_basePlacement) >= 0;\n    var len = isVertical ? 'width' : 'height';\n    var overflow = detectOverflow(state, {\n      placement: placement,\n      boundary: boundary,\n      rootBoundary: rootBoundary,\n      altBoundary: altBoundary,\n      padding: padding\n    });\n    var mainVariationSide = isVertical ? isStartVariation ? right : left : isStartVariation ? bottom : top;\n\n    if (referenceRect[len] > popperRect[len]) {\n      mainVariationSide = getOppositePlacement(mainVariationSide);\n    }\n\n    var altVariationSide = getOppositePlacement(mainVariationSide);\n    var checks = [];\n\n    if (checkMainAxis) {\n      checks.push(overflow[_basePlacement] <= 0);\n    }\n\n    if (checkAltAxis) {\n      checks.push(overflow[mainVariationSide] <= 0, overflow[altVariationSide] <= 0);\n    }\n\n    if (checks.every(function (check) {\n      return check;\n    })) {\n      firstFittingPlacement = placement;\n      makeFallbackChecks = false;\n      break;\n    }\n\n    checksMap.set(placement, checks);\n  }\n\n  if (makeFallbackChecks) {\n    // `2` may be desired in some cases â€“ research later\n    var numberOfChecks = flipVariations ? 3 : 1;\n\n    var _loop = function _loop(_i) {\n      var fittingPlacement = placements.find(function (placement) {\n        var checks = checksMap.get(placement);\n\n        if (checks) {\n          return checks.slice(0, _i).every(function (check) {\n            return check;\n          });\n        }\n      });\n\n      if (fittingPlacement) {\n        firstFittingPlacement = fittingPlacement;\n        return \"break\";\n      }\n    };\n\n    for (var _i = numberOfChecks; _i > 0; _i--) {\n      var _ret = _loop(_i);\n\n      if (_ret === \"break\") break;\n    }\n  }\n\n  if (state.placement !== firstFittingPlacement) {\n    state.modifiersData[name]._skip = true;\n    state.placement = firstFittingPlacement;\n    state.reset = true;\n  }\n} // eslint-disable-next-line import/no-unused-modules\n\n\nexport default {\n  name: 'flip',\n  enabled: true,\n  phase: 'main',\n  fn: flip,\n  requiresIfExists: ['offset'],\n  data: {\n    _skip: false\n  }\n};","import { top, bottom, left, right } from \"../enums.js\";\nimport detectOverflow from \"../utils/detectOverflow.js\";\n\nfunction getSideOffsets(overflow, rect, preventedOffsets) {\n  if (preventedOffsets === void 0) {\n    preventedOffsets = {\n      x: 0,\n      y: 0\n    };\n  }\n\n  return {\n    top: overflow.top - rect.height - preventedOffsets.y,\n    right: overflow.right - rect.width + preventedOffsets.x,\n    bottom: overflow.bottom - rect.height + preventedOffsets.y,\n    left: overflow.left - rect.width - preventedOffsets.x\n  };\n}\n\nfunction isAnySideFullyClipped(overflow) {\n  return [top, right, bottom, left].some(function (side) {\n    return overflow[side] >= 0;\n  });\n}\n\nfunction hide(_ref) {\n  var state = _ref.state,\n      name = _ref.name;\n  var referenceRect = state.rects.reference;\n  var popperRect = state.rects.popper;\n  var preventedOffsets = state.modifiersData.preventOverflow;\n  var referenceOverflow = detectOverflow(state, {\n    elementContext: 'reference'\n  });\n  var popperAltOverflow = detectOverflow(state, {\n    altBoundary: true\n  });\n  var referenceClippingOffsets = getSideOffsets(referenceOverflow, referenceRect);\n  var popperEscapeOffsets = getSideOffsets(popperAltOverflow, popperRect, preventedOffsets);\n  var isReferenceHidden = isAnySideFullyClipped(referenceClippingOffsets);\n  var hasPopperEscaped = isAnySideFullyClipped(popperEscapeOffsets);\n  state.modifiersData[name] = {\n    referenceClippingOffsets: referenceClippingOffsets,\n    popperEscapeOffsets: popperEscapeOffsets,\n    isReferenceHidden: isReferenceHidden,\n    hasPopperEscaped: hasPopperEscaped\n  };\n  state.attributes.popper = Object.assign({}, state.attributes.popper, {\n    'data-popper-reference-hidden': isReferenceHidden,\n    'data-popper-escaped': hasPopperEscaped\n  });\n} // eslint-disable-next-line import/no-unused-modules\n\n\nexport default {\n  name: 'hide',\n  enabled: true,\n  phase: 'main',\n  requiresIfExists: ['preventOverflow'],\n  fn: hide\n};","import getBasePlacement from \"../utils/getBasePlacement.js\";\nimport { top, left, right, placements } from \"../enums.js\"; // eslint-disable-next-line import/no-unused-modules\n\nexport function distanceAndSkiddingToXY(placement, rects, offset) {\n  var basePlacement = getBasePlacement(placement);\n  var invertDistance = [left, top].indexOf(basePlacement) >= 0 ? -1 : 1;\n\n  var _ref = typeof offset === 'function' ? offset(Object.assign({}, rects, {\n    placement: placement\n  })) : offset,\n      skidding = _ref[0],\n      distance = _ref[1];\n\n  skidding = skidding || 0;\n  distance = (distance || 0) * invertDistance;\n  return [left, right].indexOf(basePlacement) >= 0 ? {\n    x: distance,\n    y: skidding\n  } : {\n    x: skidding,\n    y: distance\n  };\n}\n\nfunction offset(_ref2) {\n  var state = _ref2.state,\n      options = _ref2.options,\n      name = _ref2.name;\n  var _options$offset = options.offset,\n      offset = _options$offset === void 0 ? [0, 0] : _options$offset;\n  var data = placements.reduce(function (acc, placement) {\n    acc[placement] = distanceAndSkiddingToXY(placement, state.rects, offset);\n    return acc;\n  }, {});\n  var _data$state$placement = data[state.placement],\n      x = _data$state$placement.x,\n      y = _data$state$placement.y;\n\n  if (state.modifiersData.popperOffsets != null) {\n    state.modifiersData.popperOffsets.x += x;\n    state.modifiersData.popperOffsets.y += y;\n  }\n\n  state.modifiersData[name] = data;\n} // eslint-disable-next-line import/no-unused-modules\n\n\nexport default {\n  name: 'offset',\n  enabled: true,\n  phase: 'main',\n  requires: ['popperOffsets'],\n  fn: offset\n};","import computeOffsets from \"../utils/computeOffsets.js\";\n\nfunction popperOffsets(_ref) {\n  var state = _ref.state,\n      name = _ref.name;\n  // Offsets are the actual position the popper needs to have to be\n  // properly positioned near its reference element\n  // This is the most basic placement, and will be adjusted by\n  // the modifiers in the next step\n  state.modifiersData[name] = computeOffsets({\n    reference: state.rects.reference,\n    element: state.rects.popper,\n    strategy: 'absolute',\n    placement: state.placement\n  });\n} // eslint-disable-next-line import/no-unused-modules\n\n\nexport default {\n  name: 'popperOffsets',\n  enabled: true,\n  phase: 'read',\n  fn: popperOffsets,\n  data: {}\n};","import { top, left, right, bottom, start } from \"../enums.js\";\nimport getBasePlacement from \"../utils/getBasePlacement.js\";\nimport getMainAxisFromPlacement from \"../utils/getMainAxisFromPlacement.js\";\nimport getAltAxis from \"../utils/getAltAxis.js\";\nimport { within, withinMaxClamp } from \"../utils/within.js\";\nimport getLayoutRect from \"../dom-utils/getLayoutRect.js\";\nimport getOffsetParent from \"../dom-utils/getOffsetParent.js\";\nimport detectOverflow from \"../utils/detectOverflow.js\";\nimport getVariation from \"../utils/getVariation.js\";\nimport getFreshSideObject from \"../utils/getFreshSideObject.js\";\nimport { min as mathMin, max as mathMax } from \"../utils/math.js\";\n\nfunction preventOverflow(_ref) {\n  var state = _ref.state,\n      options = _ref.options,\n      name = _ref.name;\n  var _options$mainAxis = options.mainAxis,\n      checkMainAxis = _options$mainAxis === void 0 ? true : _options$mainAxis,\n      _options$altAxis = options.altAxis,\n      checkAltAxis = _options$altAxis === void 0 ? false : _options$altAxis,\n      boundary = options.boundary,\n      rootBoundary = options.rootBoundary,\n      altBoundary = options.altBoundary,\n      padding = options.padding,\n      _options$tether = options.tether,\n      tether = _options$tether === void 0 ? true : _options$tether,\n      _options$tetherOffset = options.tetherOffset,\n      tetherOffset = _options$tetherOffset === void 0 ? 0 : _options$tetherOffset;\n  var overflow = detectOverflow(state, {\n    boundary: boundary,\n    rootBoundary: rootBoundary,\n    padding: padding,\n    altBoundary: altBoundary\n  });\n  var basePlacement = getBasePlacement(state.placement);\n  var variation = getVariation(state.placement);\n  var isBasePlacement = !variation;\n  var mainAxis = getMainAxisFromPlacement(basePlacement);\n  var altAxis = getAltAxis(mainAxis);\n  var popperOffsets = state.modifiersData.popperOffsets;\n  var referenceRect = state.rects.reference;\n  var popperRect = state.rects.popper;\n  var tetherOffsetValue = typeof tetherOffset === 'function' ? tetherOffset(Object.assign({}, state.rects, {\n    placement: state.placement\n  })) : tetherOffset;\n  var normalizedTetherOffsetValue = typeof tetherOffsetValue === 'number' ? {\n    mainAxis: tetherOffsetValue,\n    altAxis: tetherOffsetValue\n  } : Object.assign({\n    mainAxis: 0,\n    altAxis: 0\n  }, tetherOffsetValue);\n  var offsetModifierState = state.modifiersData.offset ? state.modifiersData.offset[state.placement] : null;\n  var data = {\n    x: 0,\n    y: 0\n  };\n\n  if (!popperOffsets) {\n    return;\n  }\n\n  if (checkMainAxis) {\n    var _offsetModifierState$;\n\n    var mainSide = mainAxis === 'y' ? top : left;\n    var altSide = mainAxis === 'y' ? bottom : right;\n    var len = mainAxis === 'y' ? 'height' : 'width';\n    var offset = popperOffsets[mainAxis];\n    var min = offset + overflow[mainSide];\n    var max = offset - overflow[altSide];\n    var additive = tether ? -popperRect[len] / 2 : 0;\n    var minLen = variation === start ? referenceRect[len] : popperRect[len];\n    var maxLen = variation === start ? -popperRect[len] : -referenceRect[len]; // We need to include the arrow in the calculation so the arrow doesn't go\n    // outside the reference bounds\n\n    var arrowElement = state.elements.arrow;\n    var arrowRect = tether && arrowElement ? getLayoutRect(arrowElement) : {\n      width: 0,\n      height: 0\n    };\n    var arrowPaddingObject = state.modifiersData['arrow#persistent'] ? state.modifiersData['arrow#persistent'].padding : getFreshSideObject();\n    var arrowPaddingMin = arrowPaddingObject[mainSide];\n    var arrowPaddingMax = arrowPaddingObject[altSide]; // If the reference length is smaller than the arrow length, we don't want\n    // to include its full size in the calculation. If the reference is small\n    // and near the edge of a boundary, the popper can overflow even if the\n    // reference is not overflowing as well (e.g. virtual elements with no\n    // width or height)\n\n    var arrowLen = within(0, referenceRect[len], arrowRect[len]);\n    var minOffset = isBasePlacement ? referenceRect[len] / 2 - additive - arrowLen - arrowPaddingMin - normalizedTetherOffsetValue.mainAxis : minLen - arrowLen - arrowPaddingMin - normalizedTetherOffsetValue.mainAxis;\n    var maxOffset = isBasePlacement ? -referenceRect[len] / 2 + additive + arrowLen + arrowPaddingMax + normalizedTetherOffsetValue.mainAxis : maxLen + arrowLen + arrowPaddingMax + normalizedTetherOffsetValue.mainAxis;\n    var arrowOffsetParent = state.elements.arrow && getOffsetParent(state.elements.arrow);\n    var clientOffset = arrowOffsetParent ? mainAxis === 'y' ? arrowOffsetParent.clientTop || 0 : arrowOffsetParent.clientLeft || 0 : 0;\n    var offsetModifierValue = (_offsetModifierState$ = offsetModifierState == null ? void 0 : offsetModifierState[mainAxis]) != null ? _offsetModifierState$ : 0;\n    var tetherMin = offset + minOffset - offsetModifierValue - clientOffset;\n    var tetherMax = offset + maxOffset - offsetModifierValue;\n    var preventedOffset = within(tether ? mathMin(min, tetherMin) : min, offset, tether ? mathMax(max, tetherMax) : max);\n    popperOffsets[mainAxis] = preventedOffset;\n    data[mainAxis] = preventedOffset - offset;\n  }\n\n  if (checkAltAxis) {\n    var _offsetModifierState$2;\n\n    var _mainSide = mainAxis === 'x' ? top : left;\n\n    var _altSide = mainAxis === 'x' ? bottom : right;\n\n    var _offset = popperOffsets[altAxis];\n\n    var _len = altAxis === 'y' ? 'height' : 'width';\n\n    var _min = _offset + overflow[_mainSide];\n\n    var _max = _offset - overflow[_altSide];\n\n    var isOriginSide = [top, left].indexOf(basePlacement) !== -1;\n\n    var _offsetModifierValue = (_offsetModifierState$2 = offsetModifierState == null ? void 0 : offsetModifierState[altAxis]) != null ? _offsetModifierState$2 : 0;\n\n    var _tetherMin = isOriginSide ? _min : _offset - referenceRect[_len] - popperRect[_len] - _offsetModifierValue + normalizedTetherOffsetValue.altAxis;\n\n    var _tetherMax = isOriginSide ? _offset + referenceRect[_len] + popperRect[_len] - _offsetModifierValue - normalizedTetherOffsetValue.altAxis : _max;\n\n    var _preventedOffset = tether && isOriginSide ? withinMaxClamp(_tetherMin, _offset, _tetherMax) : within(tether ? _tetherMin : _min, _offset, tether ? _tetherMax : _max);\n\n    popperOffsets[altAxis] = _preventedOffset;\n    data[altAxis] = _preventedOffset - _offset;\n  }\n\n  state.modifiersData[name] = data;\n} // eslint-disable-next-line import/no-unused-modules\n\n\nexport default {\n  name: 'preventOverflow',\n  enabled: true,\n  phase: 'main',\n  fn: preventOverflow,\n  requiresIfExists: ['offset']\n};","export default function getAltAxis(axis) {\n  return axis === 'x' ? 'y' : 'x';\n}","import getBoundingClientRect from \"./getBoundingClientRect.js\";\nimport getNodeScroll from \"./getNodeScroll.js\";\nimport getNodeName from \"./getNodeName.js\";\nimport { isHTMLElement } from \"./instanceOf.js\";\nimport getWindowScrollBarX from \"./getWindowScrollBarX.js\";\nimport getDocumentElement from \"./getDocumentElement.js\";\nimport isScrollParent from \"./isScrollParent.js\";\nimport { round } from \"../utils/math.js\";\n\nfunction isElementScaled(element) {\n  var rect = element.getBoundingClientRect();\n  var scaleX = round(rect.width) / element.offsetWidth || 1;\n  var scaleY = round(rect.height) / element.offsetHeight || 1;\n  return scaleX !== 1 || scaleY !== 1;\n} // Returns the composite rect of an element relative to its offsetParent.\n// Composite means it takes into account transforms as well as layout.\n\n\nexport default function getCompositeRect(elementOrVirtualElement, offsetParent, isFixed) {\n  if (isFixed === void 0) {\n    isFixed = false;\n  }\n\n  var isOffsetParentAnElement = isHTMLElement(offsetParent);\n  var offsetParentIsScaled = isHTMLElement(offsetParent) && isElementScaled(offsetParent);\n  var documentElement = getDocumentElement(offsetParent);\n  var rect = getBoundingClientRect(elementOrVirtualElement, offsetParentIsScaled, isFixed);\n  var scroll = {\n    scrollLeft: 0,\n    scrollTop: 0\n  };\n  var offsets = {\n    x: 0,\n    y: 0\n  };\n\n  if (isOffsetParentAnElement || !isOffsetParentAnElement && !isFixed) {\n    if (getNodeName(offsetParent) !== 'body' || // https://github.com/popperjs/popper-core/issues/1078\n    isScrollParent(documentElement)) {\n      scroll = getNodeScroll(offsetParent);\n    }\n\n    if (isHTMLElement(offsetParent)) {\n      offsets = getBoundingClientRect(offsetParent, true);\n      offsets.x += offsetParent.clientLeft;\n      offsets.y += offsetParent.clientTop;\n    } else if (documentElement) {\n      offsets.x = getWindowScrollBarX(documentElement);\n    }\n  }\n\n  return {\n    x: rect.left + scroll.scrollLeft - offsets.x,\n    y: rect.top + scroll.scrollTop - offsets.y,\n    width: rect.width,\n    height: rect.height\n  };\n}","import getWindowScroll from \"./getWindowScroll.js\";\nimport getWindow from \"./getWindow.js\";\nimport { isHTMLElement } from \"./instanceOf.js\";\nimport getHTMLElementScroll from \"./getHTMLElementScroll.js\";\nexport default function getNodeScroll(node) {\n  if (node === getWindow(node) || !isHTMLElement(node)) {\n    return getWindowScroll(node);\n  } else {\n    return getHTMLElementScroll(node);\n  }\n}","export default function getHTMLElementScroll(element) {\n  return {\n    scrollLeft: element.scrollLeft,\n    scrollTop: element.scrollTop\n  };\n}","import { modifierPhases } from \"../enums.js\"; // source: https://stackoverflow.com/questions/49875255\n\nfunction order(modifiers) {\n  var map = new Map();\n  var visited = new Set();\n  var result = [];\n  modifiers.forEach(function (modifier) {\n    map.set(modifier.name, modifier);\n  }); // On visiting object, check for its dependencies and visit them recursively\n\n  function sort(modifier) {\n    visited.add(modifier.name);\n    var requires = [].concat(modifier.requires || [], modifier.requiresIfExists || []);\n    requires.forEach(function (dep) {\n      if (!visited.has(dep)) {\n        var depModifier = map.get(dep);\n\n        if (depModifier) {\n          sort(depModifier);\n        }\n      }\n    });\n    result.push(modifier);\n  }\n\n  modifiers.forEach(function (modifier) {\n    if (!visited.has(modifier.name)) {\n      // check for visited object\n      sort(modifier);\n    }\n  });\n  return result;\n}\n\nexport default function orderModifiers(modifiers) {\n  // order based on dependencies\n  var orderedModifiers = order(modifiers); // order based on phase\n\n  return modifierPhases.reduce(function (acc, phase) {\n    return acc.concat(orderedModifiers.filter(function (modifier) {\n      return modifier.phase === phase;\n    }));\n  }, []);\n}","import getCompositeRect from \"./dom-utils/getCompositeRect.js\";\nimport getLayoutRect from \"./dom-utils/getLayoutRect.js\";\nimport listScrollParents from \"./dom-utils/listScrollParents.js\";\nimport getOffsetParent from \"./dom-utils/getOffsetParent.js\";\nimport getComputedStyle from \"./dom-utils/getComputedStyle.js\";\nimport orderModifiers from \"./utils/orderModifiers.js\";\nimport debounce from \"./utils/debounce.js\";\nimport validateModifiers from \"./utils/validateModifiers.js\";\nimport uniqueBy from \"./utils/uniqueBy.js\";\nimport getBasePlacement from \"./utils/getBasePlacement.js\";\nimport mergeByName from \"./utils/mergeByName.js\";\nimport detectOverflow from \"./utils/detectOverflow.js\";\nimport { isElement } from \"./dom-utils/instanceOf.js\";\nimport { auto } from \"./enums.js\";\nvar INVALID_ELEMENT_ERROR = 'Popper: Invalid reference or popper argument provided. They must be either a DOM element or virtual element.';\nvar INFINITE_LOOP_ERROR = 'Popper: An infinite loop in the modifiers cycle has been detected! The cycle has been interrupted to prevent a browser crash.';\nvar DEFAULT_OPTIONS = {\n  placement: 'bottom',\n  modifiers: [],\n  strategy: 'absolute'\n};\n\nfunction areValidElements() {\n  for (var _len = arguments.length, args = new Array(_len), _key = 0; _key < _len; _key++) {\n    args[_key] = arguments[_key];\n  }\n\n  return !args.some(function (element) {\n    return !(element && typeof element.getBoundingClientRect === 'function');\n  });\n}\n\nexport function popperGenerator(generatorOptions) {\n  if (generatorOptions === void 0) {\n    generatorOptions = {};\n  }\n\n  var _generatorOptions = generatorOptions,\n      _generatorOptions$def = _generatorOptions.defaultModifiers,\n      defaultModifiers = _generatorOptions$def === void 0 ? [] : _generatorOptions$def,\n      _generatorOptions$def2 = _generatorOptions.defaultOptions,\n      defaultOptions = _generatorOptions$def2 === void 0 ? DEFAULT_OPTIONS : _generatorOptions$def2;\n  return function createPopper(reference, popper, options) {\n    if (options === void 0) {\n      options = defaultOptions;\n    }\n\n    var state = {\n      placement: 'bottom',\n      orderedModifiers: [],\n      options: Object.assign({}, DEFAULT_OPTIONS, defaultOptions),\n      modifiersData: {},\n      elements: {\n        reference: reference,\n        popper: popper\n      },\n      attributes: {},\n      styles: {}\n    };\n    var effectCleanupFns = [];\n    var isDestroyed = false;\n    var instance = {\n      state: state,\n      setOptions: function setOptions(setOptionsAction) {\n        var options = typeof setOptionsAction === 'function' ? setOptionsAction(state.options) : setOptionsAction;\n        cleanupModifierEffects();\n        state.options = Object.assign({}, defaultOptions, state.options, options);\n        state.scrollParents = {\n          reference: isElement(reference) ? listScrollParents(reference) : reference.contextElement ? listScrollParents(reference.contextElement) : [],\n          popper: listScrollParents(popper)\n        }; // Orders the modifiers based on their dependencies and `phase`\n        // properties\n\n        var orderedModifiers = orderModifiers(mergeByName([].concat(defaultModifiers, state.options.modifiers))); // Strip out disabled modifiers\n\n        state.orderedModifiers = orderedModifiers.filter(function (m) {\n          return m.enabled;\n        }); // Validate the provided modifiers so that the consumer will get warned\n        // if one of the modifiers is invalid for any reason\n\n        if (process.env.NODE_ENV !== \"production\") {\n          var modifiers = uniqueBy([].concat(orderedModifiers, state.options.modifiers), function (_ref) {\n            var name = _ref.name;\n            return name;\n          });\n          validateModifiers(modifiers);\n\n          if (getBasePlacement(state.options.placement) === auto) {\n            var flipModifier = state.orderedModifiers.find(function (_ref2) {\n              var name = _ref2.name;\n              return name === 'flip';\n            });\n\n            if (!flipModifier) {\n              console.error(['Popper: \"auto\" placements require the \"flip\" modifier be', 'present and enabled to work.'].join(' '));\n            }\n          }\n\n          var _getComputedStyle = getComputedStyle(popper),\n              marginTop = _getComputedStyle.marginTop,\n              marginRight = _getComputedStyle.marginRight,\n              marginBottom = _getComputedStyle.marginBottom,\n              marginLeft = _getComputedStyle.marginLeft; // We no longer take into account `margins` on the popper, and it can\n          // cause bugs with positioning, so we'll warn the consumer\n\n\n          if ([marginTop, marginRight, marginBottom, marginLeft].some(function (margin) {\n            return parseFloat(margin);\n          })) {\n            console.warn(['Popper: CSS \"margin\" styles cannot be used to apply padding', 'between the popper and its reference element or boundary.', 'To replicate margin, use the `offset` modifier, as well as', 'the `padding` option in the `preventOverflow` and `flip`', 'modifiers.'].join(' '));\n          }\n        }\n\n        runModifierEffects();\n        return instance.update();\n      },\n      // Sync update â€“ it will always be executed, even if not necessary. This\n      // is useful for low frequency updates where sync behavior simplifies the\n      // logic.\n      // For high frequency updates (e.g. `resize` and `scroll` events), always\n      // prefer the async Popper#update method\n      forceUpdate: function forceUpdate() {\n        if (isDestroyed) {\n          return;\n        }\n\n        var _state$elements = state.elements,\n            reference = _state$elements.reference,\n            popper = _state$elements.popper; // Don't proceed if `reference` or `popper` are not valid elements\n        // anymore\n\n        if (!areValidElements(reference, popper)) {\n          if (process.env.NODE_ENV !== \"production\") {\n            console.error(INVALID_ELEMENT_ERROR);\n          }\n\n          return;\n        } // Store the reference and popper rects to be read by modifiers\n\n\n        state.rects = {\n          reference: getCompositeRect(reference, getOffsetParent(popper), state.options.strategy === 'fixed'),\n          popper: getLayoutRect(popper)\n        }; // Modifiers have the ability to reset the current update cycle. The\n        // most common use case for this is the `flip` modifier changing the\n        // placement, which then needs to re-run all the modifiers, because the\n        // logic was previously ran for the previous placement and is therefore\n        // stale/incorrect\n\n        state.reset = false;\n        state.placement = state.options.placement; // On each update cycle, the `modifiersData` property for each modifier\n        // is filled with the initial data specified by the modifier. This means\n        // it doesn't persist and is fresh on each update.\n        // To ensure persistent data, use `${name}#persistent`\n\n        state.orderedModifiers.forEach(function (modifier) {\n          return state.modifiersData[modifier.name] = Object.assign({}, modifier.data);\n        });\n        var __debug_loops__ = 0;\n\n        for (var index = 0; index < state.orderedModifiers.length; index++) {\n          if (process.env.NODE_ENV !== \"production\") {\n            __debug_loops__ += 1;\n\n            if (__debug_loops__ > 100) {\n              console.error(INFINITE_LOOP_ERROR);\n              break;\n            }\n          }\n\n          if (state.reset === true) {\n            state.reset = false;\n            index = -1;\n            continue;\n          }\n\n          var _state$orderedModifie = state.orderedModifiers[index],\n              fn = _state$orderedModifie.fn,\n              _state$orderedModifie2 = _state$orderedModifie.options,\n              _options = _state$orderedModifie2 === void 0 ? {} : _state$orderedModifie2,\n              name = _state$orderedModifie.name;\n\n          if (typeof fn === 'function') {\n            state = fn({\n              state: state,\n              options: _options,\n              name: name,\n              instance: instance\n            }) || state;\n          }\n        }\n      },\n      // Async and optimistically optimized update â€“ it will not be executed if\n      // not necessary (debounced to run at most once-per-tick)\n      update: debounce(function () {\n        return new Promise(function (resolve) {\n          instance.forceUpdate();\n          resolve(state);\n        });\n      }),\n      destroy: function destroy() {\n        cleanupModifierEffects();\n        isDestroyed = true;\n      }\n    };\n\n    if (!areValidElements(reference, popper)) {\n      if (process.env.NODE_ENV !== \"production\") {\n        console.error(INVALID_ELEMENT_ERROR);\n      }\n\n      return instance;\n    }\n\n    instance.setOptions(options).then(function (state) {\n      if (!isDestroyed && options.onFirstUpdate) {\n        options.onFirstUpdate(state);\n      }\n    }); // Modifiers have the ability to execute arbitrary code before the first\n    // update cycle runs. They will be executed in the same order as the update\n    // cycle. This is useful when a modifier adds some persistent data that\n    // other modifiers need to use, but the modifier is run after the dependent\n    // one.\n\n    function runModifierEffects() {\n      state.orderedModifiers.forEach(function (_ref3) {\n        var name = _ref3.name,\n            _ref3$options = _ref3.options,\n            options = _ref3$options === void 0 ? {} : _ref3$options,\n            effect = _ref3.effect;\n\n        if (typeof effect === 'function') {\n          var cleanupFn = effect({\n            state: state,\n            name: name,\n            instance: instance,\n            options: options\n          });\n\n          var noopFn = function noopFn() {};\n\n          effectCleanupFns.push(cleanupFn || noopFn);\n        }\n      });\n    }\n\n    function cleanupModifierEffects() {\n      effectCleanupFns.forEach(function (fn) {\n        return fn();\n      });\n      effectCleanupFns = [];\n    }\n\n    return instance;\n  };\n}\nexport var createPopper = /*#__PURE__*/popperGenerator(); // eslint-disable-next-line import/no-unused-modules\n\nexport { detectOverflow };","export default function debounce(fn) {\n  var pending;\n  return function () {\n    if (!pending) {\n      pending = new Promise(function (resolve) {\n        Promise.resolve().then(function () {\n          pending = undefined;\n          resolve(fn());\n        });\n      });\n    }\n\n    return pending;\n  };\n}","export default function mergeByName(modifiers) {\n  var merged = modifiers.reduce(function (merged, current) {\n    var existing = merged[current.name];\n    merged[current.name] = existing ? Object.assign({}, existing, current, {\n      options: Object.assign({}, existing.options, current.options),\n      data: Object.assign({}, existing.data, current.data)\n    }) : current;\n    return merged;\n  }, {}); // IE11 does not support Object.values\n\n  return Object.keys(merged).map(function (key) {\n    return merged[key];\n  });\n}","import { popperGenerator, detectOverflow } from \"./createPopper.js\";\nimport eventListeners from \"./modifiers/eventListeners.js\";\nimport popperOffsets from \"./modifiers/popperOffsets.js\";\nimport computeStyles from \"./modifiers/computeStyles.js\";\nimport applyStyles from \"./modifiers/applyStyles.js\";\nvar defaultModifiers = [eventListeners, popperOffsets, computeStyles, applyStyles];\nvar createPopper = /*#__PURE__*/popperGenerator({\n  defaultModifiers: defaultModifiers\n}); // eslint-disable-next-line import/no-unused-modules\n\nexport { createPopper, popperGenerator, defaultModifiers, detectOverflow };","import { popperGenerator, detectOverflow } from \"./createPopper.js\";\nimport eventListeners from \"./modifiers/eventListeners.js\";\nimport popperOffsets from \"./modifiers/popperOffsets.js\";\nimport computeStyles from \"./modifiers/computeStyles.js\";\nimport applyStyles from \"./modifiers/applyStyles.js\";\nimport offset from \"./modifiers/offset.js\";\nimport flip from \"./modifiers/flip.js\";\nimport preventOverflow from \"./modifiers/preventOverflow.js\";\nimport arrow from \"./modifiers/arrow.js\";\nimport hide from \"./modifiers/hide.js\";\nvar defaultModifiers = [eventListeners, popperOffsets, computeStyles, applyStyles, offset, flip, preventOverflow, arrow, hide];\nvar createPopper = /*#__PURE__*/popperGenerator({\n  defaultModifiers: defaultModifiers\n}); // eslint-disable-next-line import/no-unused-modules\n\nexport { createPopper, popperGenerator, defaultModifiers, detectOverflow }; // eslint-disable-next-line import/no-unused-modules\n\nexport { createPopper as createPopperLite } from \"./popper-lite.js\"; // eslint-disable-next-line import/no-unused-modules\n\nexport * from \"./modifiers/index.js\";","/**\n * --------------------------------------------------------------------------\n * Bootstrap (v5.2.2): dropdown.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\nimport * as Popper from '@popperjs/core'\nimport {\n  defineJQueryPlugin,\n  getElement,\n  getNextActiveElement,\n  isDisabled,\n  isElement,\n  isRTL,\n  isVisible,\n  noop\n} from './util/index'\nimport EventHandler from './dom/event-handler'\nimport Manipulator from './dom/manipulator'\nimport SelectorEngine from './dom/selector-engine'\nimport BaseComponent from './base-component'\n\n/**\n * Constants\n */\n\nconst NAME = 'dropdown'\nconst DATA_KEY = 'bs.dropdown'\nconst EVENT_KEY = `.${DATA_KEY}`\nconst DATA_API_KEY = '.data-api'\n\nconst ESCAPE_KEY = 'Escape'\nconst TAB_KEY = 'Tab'\nconst ARROW_UP_KEY = 'ArrowUp'\nconst ARROW_DOWN_KEY = 'ArrowDown'\nconst RIGHT_MOUSE_BUTTON = 2 // MouseEvent.button value for the secondary button, usually the right button\n\nconst EVENT_HIDE = `hide${EVENT_KEY}`\nconst EVENT_HIDDEN = `hidden${EVENT_KEY}`\nconst EVENT_SHOW = `show${EVENT_KEY}`\nconst EVENT_SHOWN = `shown${EVENT_KEY}`\nconst EVENT_CLICK_DATA_API = `click${EVENT_KEY}${DATA_API_KEY}`\nconst EVENT_KEYDOWN_DATA_API = `keydown${EVENT_KEY}${DATA_API_KEY}`\nconst EVENT_KEYUP_DATA_API = `keyup${EVENT_KEY}${DATA_API_KEY}`\n\nconst CLASS_NAME_SHOW = 'show'\nconst CLASS_NAME_DROPUP = 'dropup'\nconst CLASS_NAME_DROPEND = 'dropend'\nconst CLASS_NAME_DROPSTART = 'dropstart'\nconst CLASS_NAME_DROPUP_CENTER = 'dropup-center'\nconst CLASS_NAME_DROPDOWN_CENTER = 'dropdown-center'\n\nconst SELECTOR_DATA_TOGGLE = '[data-bs-toggle=\"dropdown\"]:not(.disabled):not(:disabled)'\nconst SELECTOR_DATA_TOGGLE_SHOWN = `${SELECTOR_DATA_TOGGLE}.${CLASS_NAME_SHOW}`\nconst SELECTOR_MENU = '.dropdown-menu'\nconst SELECTOR_NAVBAR = '.navbar'\nconst SELECTOR_NAVBAR_NAV = '.navbar-nav'\nconst SELECTOR_VISIBLE_ITEMS = '.dropdown-menu .dropdown-item:not(.disabled):not(:disabled)'\n\nconst PLACEMENT_TOP = isRTL() ? 'top-end' : 'top-start'\nconst PLACEMENT_TOPEND = isRTL() ? 'top-start' : 'top-end'\nconst PLACEMENT_BOTTOM = isRTL() ? 'bottom-end' : 'bottom-start'\nconst PLACEMENT_BOTTOMEND = isRTL() ? 'bottom-start' : 'bottom-end'\nconst PLACEMENT_RIGHT = isRTL() ? 'left-start' : 'right-start'\nconst PLACEMENT_LEFT = isRTL() ? 'right-start' : 'left-start'\nconst PLACEMENT_TOPCENTER = 'top'\nconst PLACEMENT_BOTTOMCENTER = 'bottom'\n\nconst Default = {\n  autoClose: true,\n  boundary: 'clippingParents',\n  display: 'dynamic',\n  offset: [0, 2],\n  popperConfig: null,\n  reference: 'toggle'\n}\n\nconst DefaultType = {\n  autoClose: '(boolean|string)',\n  boundary: '(string|element)',\n  display: 'string',\n  offset: '(array|string|function)',\n  popperConfig: '(null|object|function)',\n  reference: '(string|element|object)'\n}\n\n/**\n * Class definition\n */\n\nclass Dropdown extends BaseComponent {\n  constructor(element, config) {\n    super(element, config)\n\n    this._popper = null\n    this._parent = this._element.parentNode // dropdown wrapper\n    // todo: v6 revert #37011 & change markup https://getbootstrap.com/docs/5.2/forms/input-group/\n    this._menu = SelectorEngine.next(this._element, SELECTOR_MENU)[0] ||\n      SelectorEngine.prev(this._element, SELECTOR_MENU)[0] ||\n      SelectorEngine.findOne(SELECTOR_MENU, this._parent)\n    this._inNavbar = this._detectNavbar()\n  }\n\n  // Getters\n  static get Default() {\n    return Default\n  }\n\n  static get DefaultType() {\n    return DefaultType\n  }\n\n  static get NAME() {\n    return NAME\n  }\n\n  // Public\n  toggle() {\n    return this._isShown() ? this.hide() : this.show()\n  }\n\n  show() {\n    if (isDisabled(this._element) || this._isShown()) {\n      return\n    }\n\n    const relatedTarget = {\n      relatedTarget: this._element\n    }\n\n    const showEvent = EventHandler.trigger(this._element, EVENT_SHOW, relatedTarget)\n\n    if (showEvent.defaultPrevented) {\n      return\n    }\n\n    this._createPopper()\n\n    // If this is a touch-enabled device we add extra\n    // empty mouseover listeners to the body's immediate children;\n    // only needed because of broken event delegation on iOS\n    // https://www.quirksmode.org/blog/archives/2014/02/mouse_event_bub.html\n    if ('ontouchstart' in document.documentElement && !this._parent.closest(SELECTOR_NAVBAR_NAV)) {\n      for (const element of [].concat(...document.body.children)) {\n        EventHandler.on(element, 'mouseover', noop)\n      }\n    }\n\n    this._element.focus()\n    this._element.setAttribute('aria-expanded', true)\n\n    this._menu.classList.add(CLASS_NAME_SHOW)\n    this._element.classList.add(CLASS_NAME_SHOW)\n    EventHandler.trigger(this._element, EVENT_SHOWN, relatedTarget)\n  }\n\n  hide() {\n    if (isDisabled(this._element) || !this._isShown()) {\n      return\n    }\n\n    const relatedTarget = {\n      relatedTarget: this._element\n    }\n\n    this._completeHide(relatedTarget)\n  }\n\n  dispose() {\n    if (this._popper) {\n      this._popper.destroy()\n    }\n\n    super.dispose()\n  }\n\n  update() {\n    this._inNavbar = this._detectNavbar()\n    if (this._popper) {\n      this._popper.update()\n    }\n  }\n\n  // Private\n  _completeHide(relatedTarget) {\n    const hideEvent = EventHandler.trigger(this._element, EVENT_HIDE, relatedTarget)\n    if (hideEvent.defaultPrevented) {\n      return\n    }\n\n    // If this is a touch-enabled device we remove the extra\n    // empty mouseover listeners we added for iOS support\n    if ('ontouchstart' in document.documentElement) {\n      for (const element of [].concat(...document.body.children)) {\n        EventHandler.off(element, 'mouseover', noop)\n      }\n    }\n\n    if (this._popper) {\n      this._popper.destroy()\n    }\n\n    this._menu.classList.remove(CLASS_NAME_SHOW)\n    this._element.classList.remove(CLASS_NAME_SHOW)\n    this._element.setAttribute('aria-expanded', 'false')\n    Manipulator.removeDataAttribute(this._menu, 'popper')\n    EventHandler.trigger(this._element, EVENT_HIDDEN, relatedTarget)\n  }\n\n  _getConfig(config) {\n    config = super._getConfig(config)\n\n    if (typeof config.reference === 'object' && !isElement(config.reference) &&\n      typeof config.reference.getBoundingClientRect !== 'function'\n    ) {\n      // Popper virtual elements require a getBoundingClientRect method\n      throw new TypeError(`${NAME.toUpperCase()}: Option \"reference\" provided type \"object\" without a required \"getBoundingClientRect\" method.`)\n    }\n\n    return config\n  }\n\n  _createPopper() {\n    if (typeof Popper === 'undefined') {\n      throw new TypeError('Bootstrap\\'s dropdowns require Popper (https://popper.js.org)')\n    }\n\n    let referenceElement = this._element\n\n    if (this._config.reference === 'parent') {\n      referenceElement = this._parent\n    } else if (isElement(this._config.reference)) {\n      referenceElement = getElement(this._config.reference)\n    } else if (typeof this._config.reference === 'object') {\n      referenceElement = this._config.reference\n    }\n\n    const popperConfig = this._getPopperConfig()\n    this._popper = Popper.createPopper(referenceElement, this._menu, popperConfig)\n  }\n\n  _isShown() {\n    return this._menu.classList.contains(CLASS_NAME_SHOW)\n  }\n\n  _getPlacement() {\n    const parentDropdown = this._parent\n\n    if (parentDropdown.classList.contains(CLASS_NAME_DROPEND)) {\n      return PLACEMENT_RIGHT\n    }\n\n    if (parentDropdown.classList.contains(CLASS_NAME_DROPSTART)) {\n      return PLACEMENT_LEFT\n    }\n\n    if (parentDropdown.classList.contains(CLASS_NAME_DROPUP_CENTER)) {\n      return PLACEMENT_TOPCENTER\n    }\n\n    if (parentDropdown.classList.contains(CLASS_NAME_DROPDOWN_CENTER)) {\n      return PLACEMENT_BOTTOMCENTER\n    }\n\n    // We need to trim the value because custom properties can also include spaces\n    const isEnd = getComputedStyle(this._menu).getPropertyValue('--bs-position').trim() === 'end'\n\n    if (parentDropdown.classList.contains(CLASS_NAME_DROPUP)) {\n      return isEnd ? PLACEMENT_TOPEND : PLACEMENT_TOP\n    }\n\n    return isEnd ? PLACEMENT_BOTTOMEND : PLACEMENT_BOTTOM\n  }\n\n  _detectNavbar() {\n    return this._element.closest(SELECTOR_NAVBAR) !== null\n  }\n\n  _getOffset() {\n    const { offset } = this._config\n\n    if (typeof offset === 'string') {\n      return offset.split(',').map(value => Number.parseInt(value, 10))\n    }\n\n    if (typeof offset === 'function') {\n      return popperData => offset(popperData, this._element)\n    }\n\n    return offset\n  }\n\n  _getPopperConfig() {\n    const defaultBsPopperConfig = {\n      placement: this._getPlacement(),\n      modifiers: [{\n        name: 'preventOverflow',\n        options: {\n          boundary: this._config.boundary\n        }\n      },\n      {\n        name: 'offset',\n        options: {\n          offset: this._getOffset()\n        }\n      }]\n    }\n\n    // Disable Popper if we have a static display or Dropdown is in Navbar\n    if (this._inNavbar || this._config.display === 'static') {\n      Manipulator.setDataAttribute(this._menu, 'popper', 'static') // todo:v6 remove\n      defaultBsPopperConfig.modifiers = [{\n        name: 'applyStyles',\n        enabled: false\n      }]\n    }\n\n    return {\n      ...defaultBsPopperConfig,\n      ...(typeof this._config.popperConfig === 'function' ? this._config.popperConfig(defaultBsPopperConfig) : this._config.popperConfig)\n    }\n  }\n\n  _selectMenuItem({ key, target }) {\n    const items = SelectorEngine.find(SELECTOR_VISIBLE_ITEMS, this._menu).filter(element => isVisible(element))\n\n    if (!items.length) {\n      return\n    }\n\n    // if target isn't included in items (e.g. when expanding the dropdown)\n    // allow cycling to get the last item in case key equals ARROW_UP_KEY\n    getNextActiveElement(items, target, key === ARROW_DOWN_KEY, !items.includes(target)).focus()\n  }\n\n  // Static\n  static jQueryInterface(config) {\n    return this.each(function () {\n      const data = Dropdown.getOrCreateInstance(this, config)\n\n      if (typeof config !== 'string') {\n        return\n      }\n\n      if (typeof data[config] === 'undefined') {\n        throw new TypeError(`No method named \"${config}\"`)\n      }\n\n      data[config]()\n    })\n  }\n\n  static clearMenus(event) {\n    if (event.button === RIGHT_MOUSE_BUTTON || (event.type === 'keyup' && event.key !== TAB_KEY)) {\n      return\n    }\n\n    const openToggles = SelectorEngine.find(SELECTOR_DATA_TOGGLE_SHOWN)\n\n    for (const toggle of openToggles) {\n      const context = Dropdown.getInstance(toggle)\n      if (!context || context._config.autoClose === false) {\n        continue\n      }\n\n      const composedPath = event.composedPath()\n      const isMenuTarget = composedPath.includes(context._menu)\n      if (\n        composedPath.includes(context._element) ||\n        (context._config.autoClose === 'inside' && !isMenuTarget) ||\n        (context._config.autoClose === 'outside' && isMenuTarget)\n      ) {\n        continue\n      }\n\n      // Tab navigation through the dropdown menu or events from contained inputs shouldn't close the menu\n      if (context._menu.contains(event.target) && ((event.type === 'keyup' && event.key === TAB_KEY) || /input|select|option|textarea|form/i.test(event.target.tagName))) {\n        continue\n      }\n\n      const relatedTarget = { relatedTarget: context._element }\n\n      if (event.type === 'click') {\n        relatedTarget.clickEvent = event\n      }\n\n      context._completeHide(relatedTarget)\n    }\n  }\n\n  static dataApiKeydownHandler(event) {\n    // If not an UP | DOWN | ESCAPE key => not a dropdown command\n    // If input/textarea && if key is other than ESCAPE => not a dropdown command\n\n    const isInput = /input|textarea/i.test(event.target.tagName)\n    const isEscapeEvent = event.key === ESCAPE_KEY\n    const isUpOrDownEvent = [ARROW_UP_KEY, ARROW_DOWN_KEY].includes(event.key)\n\n    if (!isUpOrDownEvent && !isEscapeEvent) {\n      return\n    }\n\n    if (isInput && !isEscapeEvent) {\n      return\n    }\n\n    event.preventDefault()\n\n    // todo: v6 revert #37011 & change markup https://getbootstrap.com/docs/5.2/forms/input-group/\n    const getToggleButton = this.matches(SELECTOR_DATA_TOGGLE) ?\n      this :\n      (SelectorEngine.prev(this, SELECTOR_DATA_TOGGLE)[0] ||\n        SelectorEngine.next(this, SELECTOR_DATA_TOGGLE)[0] ||\n        SelectorEngine.findOne(SELECTOR_DATA_TOGGLE, event.delegateTarget.parentNode))\n\n    const instance = Dropdown.getOrCreateInstance(getToggleButton)\n\n    if (isUpOrDownEvent) {\n      event.stopPropagation()\n      instance.show()\n      instance._selectMenuItem(event)\n      return\n    }\n\n    if (instance._isShown()) { // else is escape and we check if it is shown\n      event.stopPropagation()\n      instance.hide()\n      getToggleButton.focus()\n    }\n  }\n}\n\n/**\n * Data API implementation\n */\n\nEventHandler.on(document, EVENT_KEYDOWN_DATA_API, SELECTOR_DATA_TOGGLE, Dropdown.dataApiKeydownHandler)\nEventHandler.on(document, EVENT_KEYDOWN_DATA_API, SELECTOR_MENU, Dropdown.dataApiKeydownHandler)\nEventHandler.on(document, EVENT_CLICK_DATA_API, Dropdown.clearMenus)\nEventHandler.on(document, EVENT_KEYUP_DATA_API, Dropdown.clearMenus)\nEventHandler.on(document, EVENT_CLICK_DATA_API, SELECTOR_DATA_TOGGLE, function (event) {\n  event.preventDefault()\n  Dropdown.getOrCreateInstance(this).toggle()\n})\n\n/**\n * jQuery\n */\n\ndefineJQueryPlugin(Dropdown)\n\nexport default Dropdown\n","/**\n * --------------------------------------------------------------------------\n * Bootstrap (v5.2.2): util/scrollBar.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\nimport SelectorEngine from '../dom/selector-engine'\nimport Manipulator from '../dom/manipulator'\nimport { isElement } from './index'\n\n/**\n * Constants\n */\n\nconst SELECTOR_FIXED_CONTENT = '.fixed-top, .fixed-bottom, .is-fixed, .sticky-top'\nconst SELECTOR_STICKY_CONTENT = '.sticky-top'\nconst PROPERTY_PADDING = 'padding-right'\nconst PROPERTY_MARGIN = 'margin-right'\n\n/**\n * Class definition\n */\n\nclass ScrollBarHelper {\n  constructor() {\n    this._element = document.body\n  }\n\n  // Public\n  getWidth() {\n    // https://developer.mozilla.org/en-US/docs/Web/API/Window/innerWidth#usage_notes\n    const documentWidth = document.documentElement.clientWidth\n    return Math.abs(window.innerWidth - documentWidth)\n  }\n\n  hide() {\n    const width = this.getWidth()\n    this._disableOverFlow()\n    // give padding to element to balance the hidden scrollbar width\n    this._setElementAttributes(this._element, PROPERTY_PADDING, calculatedValue => calculatedValue + width)\n    // trick: We adjust positive paddingRight and negative marginRight to sticky-top elements to keep showing fullwidth\n    this._setElementAttributes(SELECTOR_FIXED_CONTENT, PROPERTY_PADDING, calculatedValue => calculatedValue + width)\n    this._setElementAttributes(SELECTOR_STICKY_CONTENT, PROPERTY_MARGIN, calculatedValue => calculatedValue - width)\n  }\n\n  reset() {\n    this._resetElementAttributes(this._element, 'overflow')\n    this._resetElementAttributes(this._element, PROPERTY_PADDING)\n    this._resetElementAttributes(SELECTOR_FIXED_CONTENT, PROPERTY_PADDING)\n    this._resetElementAttributes(SELECTOR_STICKY_CONTENT, PROPERTY_MARGIN)\n  }\n\n  isOverflowing() {\n    return this.getWidth() > 0\n  }\n\n  // Private\n  _disableOverFlow() {\n    this._saveInitialAttribute(this._element, 'overflow')\n    this._element.style.overflow = 'hidden'\n  }\n\n  _setElementAttributes(selector, styleProperty, callback) {\n    const scrollbarWidth = this.getWidth()\n    const manipulationCallBack = element => {\n      if (element !== this._element && window.innerWidth > element.clientWidth + scrollbarWidth) {\n        return\n      }\n\n      this._saveInitialAttribute(element, styleProperty)\n      const calculatedValue = window.getComputedStyle(element).getPropertyValue(styleProperty)\n      element.style.setProperty(styleProperty, `${callback(Number.parseFloat(calculatedValue))}px`)\n    }\n\n    this._applyManipulationCallback(selector, manipulationCallBack)\n  }\n\n  _saveInitialAttribute(element, styleProperty) {\n    const actualValue = element.style.getPropertyValue(styleProperty)\n    if (actualValue) {\n      Manipulator.setDataAttribute(element, styleProperty, actualValue)\n    }\n  }\n\n  _resetElementAttributes(selector, styleProperty) {\n    const manipulationCallBack = element => {\n      const value = Manipulator.getDataAttribute(element, styleProperty)\n      // We only want to remove the property if the value is `null`; the value can also be zero\n      if (value === null) {\n        element.style.removeProperty(styleProperty)\n        return\n      }\n\n      Manipulator.removeDataAttribute(element, styleProperty)\n      element.style.setProperty(styleProperty, value)\n    }\n\n    this._applyManipulationCallback(selector, manipulationCallBack)\n  }\n\n  _applyManipulationCallback(selector, callBack) {\n    if (isElement(selector)) {\n      callBack(selector)\n      return\n    }\n\n    for (const sel of SelectorEngine.find(selector, this._element)) {\n      callBack(sel)\n    }\n  }\n}\n\nexport default ScrollBarHelper\n","/**\n * --------------------------------------------------------------------------\n * Bootstrap (v5.2.2): util/backdrop.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\nimport EventHandler from '../dom/event-handler'\nimport { execute, executeAfterTransition, getElement, reflow } from './index'\nimport Config from './config'\n\n/**\n * Constants\n */\n\nconst NAME = 'backdrop'\nconst CLASS_NAME_FADE = 'fade'\nconst CLASS_NAME_SHOW = 'show'\nconst EVENT_MOUSEDOWN = `mousedown.bs.${NAME}`\n\nconst Default = {\n  className: 'modal-backdrop',\n  clickCallback: null,\n  isAnimated: false,\n  isVisible: true, // if false, we use the backdrop helper without adding any element to the dom\n  rootElement: 'body' // give the choice to place backdrop under different elements\n}\n\nconst DefaultType = {\n  className: 'string',\n  clickCallback: '(function|null)',\n  isAnimated: 'boolean',\n  isVisible: 'boolean',\n  rootElement: '(element|string)'\n}\n\n/**\n * Class definition\n */\n\nclass Backdrop extends Config {\n  constructor(config) {\n    super()\n    this._config = this._getConfig(config)\n    this._isAppended = false\n    this._element = null\n  }\n\n  // Getters\n  static get Default() {\n    return Default\n  }\n\n  static get DefaultType() {\n    return DefaultType\n  }\n\n  static get NAME() {\n    return NAME\n  }\n\n  // Public\n  show(callback) {\n    if (!this._config.isVisible) {\n      execute(callback)\n      return\n    }\n\n    this._append()\n\n    const element = this._getElement()\n    if (this._config.isAnimated) {\n      reflow(element)\n    }\n\n    element.classList.add(CLASS_NAME_SHOW)\n\n    this._emulateAnimation(() => {\n      execute(callback)\n    })\n  }\n\n  hide(callback) {\n    if (!this._config.isVisible) {\n      execute(callback)\n      return\n    }\n\n    this._getElement().classList.remove(CLASS_NAME_SHOW)\n\n    this._emulateAnimation(() => {\n      this.dispose()\n      execute(callback)\n    })\n  }\n\n  dispose() {\n    if (!this._isAppended) {\n      return\n    }\n\n    EventHandler.off(this._element, EVENT_MOUSEDOWN)\n\n    this._element.remove()\n    this._isAppended = false\n  }\n\n  // Private\n  _getElement() {\n    if (!this._element) {\n      const backdrop = document.createElement('div')\n      backdrop.className = this._config.className\n      if (this._config.isAnimated) {\n        backdrop.classList.add(CLASS_NAME_FADE)\n      }\n\n      this._element = backdrop\n    }\n\n    return this._element\n  }\n\n  _configAfterMerge(config) {\n    // use getElement() with the default \"body\" to get a fresh Element on each instantiation\n    config.rootElement = getElement(config.rootElement)\n    return config\n  }\n\n  _append() {\n    if (this._isAppended) {\n      return\n    }\n\n    const element = this._getElement()\n    this._config.rootElement.append(element)\n\n    EventHandler.on(element, EVENT_MOUSEDOWN, () => {\n      execute(this._config.clickCallback)\n    })\n\n    this._isAppended = true\n  }\n\n  _emulateAnimation(callback) {\n    executeAfterTransition(callback, this._getElement(), this._config.isAnimated)\n  }\n}\n\nexport default Backdrop\n","/**\n * --------------------------------------------------------------------------\n * Bootstrap (v5.2.2): util/focustrap.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\nimport EventHandler from '../dom/event-handler'\nimport SelectorEngine from '../dom/selector-engine'\nimport Config from './config'\n\n/**\n * Constants\n */\n\nconst NAME = 'focustrap'\nconst DATA_KEY = 'bs.focustrap'\nconst EVENT_KEY = `.${DATA_KEY}`\nconst EVENT_FOCUSIN = `focusin${EVENT_KEY}`\nconst EVENT_KEYDOWN_TAB = `keydown.tab${EVENT_KEY}`\n\nconst TAB_KEY = 'Tab'\nconst TAB_NAV_FORWARD = 'forward'\nconst TAB_NAV_BACKWARD = 'backward'\n\nconst Default = {\n  autofocus: true,\n  trapElement: null // The element to trap focus inside of\n}\n\nconst DefaultType = {\n  autofocus: 'boolean',\n  trapElement: 'element'\n}\n\n/**\n * Class definition\n */\n\nclass FocusTrap extends Config {\n  constructor(config) {\n    super()\n    this._config = this._getConfig(config)\n    this._isActive = false\n    this._lastTabNavDirection = null\n  }\n\n  // Getters\n  static get Default() {\n    return Default\n  }\n\n  static get DefaultType() {\n    return DefaultType\n  }\n\n  static get NAME() {\n    return NAME\n  }\n\n  // Public\n  activate() {\n    if (this._isActive) {\n      return\n    }\n\n    if (this._config.autofocus) {\n      this._config.trapElement.focus()\n    }\n\n    EventHandler.off(document, EVENT_KEY) // guard against infinite focus loop\n    EventHandler.on(document, EVENT_FOCUSIN, event => this._handleFocusin(event))\n    EventHandler.on(document, EVENT_KEYDOWN_TAB, event => this._handleKeydown(event))\n\n    this._isActive = true\n  }\n\n  deactivate() {\n    if (!this._isActive) {\n      return\n    }\n\n    this._isActive = false\n    EventHandler.off(document, EVENT_KEY)\n  }\n\n  // Private\n  _handleFocusin(event) {\n    const { trapElement } = this._config\n\n    if (event.target === document || event.target === trapElement || trapElement.contains(event.target)) {\n      return\n    }\n\n    const elements = SelectorEngine.focusableChildren(trapElement)\n\n    if (elements.length === 0) {\n      trapElement.focus()\n    } else if (this._lastTabNavDirection === TAB_NAV_BACKWARD) {\n      elements[elements.length - 1].focus()\n    } else {\n      elements[0].focus()\n    }\n  }\n\n  _handleKeydown(event) {\n    if (event.key !== TAB_KEY) {\n      return\n    }\n\n    this._lastTabNavDirection = event.shiftKey ? TAB_NAV_BACKWARD : TAB_NAV_FORWARD\n  }\n}\n\nexport default FocusTrap\n","/**\n * --------------------------------------------------------------------------\n * Bootstrap (v5.2.2): modal.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\nimport { defineJQueryPlugin, getElementFromSelector, isRTL, isVisible, reflow } from './util/index'\nimport EventHandler from './dom/event-handler'\nimport SelectorEngine from './dom/selector-engine'\nimport ScrollBarHelper from './util/scrollbar'\nimport BaseComponent from './base-component'\nimport Backdrop from './util/backdrop'\nimport FocusTrap from './util/focustrap'\nimport { enableDismissTrigger } from './util/component-functions'\n\n/**\n * Constants\n */\n\nconst NAME = 'modal'\nconst DATA_KEY = 'bs.modal'\nconst EVENT_KEY = `.${DATA_KEY}`\nconst DATA_API_KEY = '.data-api'\nconst ESCAPE_KEY = 'Escape'\n\nconst EVENT_HIDE = `hide${EVENT_KEY}`\nconst EVENT_HIDE_PREVENTED = `hidePrevented${EVENT_KEY}`\nconst EVENT_HIDDEN = `hidden${EVENT_KEY}`\nconst EVENT_SHOW = `show${EVENT_KEY}`\nconst EVENT_SHOWN = `shown${EVENT_KEY}`\nconst EVENT_RESIZE = `resize${EVENT_KEY}`\nconst EVENT_CLICK_DISMISS = `click.dismiss${EVENT_KEY}`\nconst EVENT_MOUSEDOWN_DISMISS = `mousedown.dismiss${EVENT_KEY}`\nconst EVENT_KEYDOWN_DISMISS = `keydown.dismiss${EVENT_KEY}`\nconst EVENT_CLICK_DATA_API = `click${EVENT_KEY}${DATA_API_KEY}`\n\nconst CLASS_NAME_OPEN = 'modal-open'\nconst CLASS_NAME_FADE = 'fade'\nconst CLASS_NAME_SHOW = 'show'\nconst CLASS_NAME_STATIC = 'modal-static'\n\nconst OPEN_SELECTOR = '.modal.show'\nconst SELECTOR_DIALOG = '.modal-dialog'\nconst SELECTOR_MODAL_BODY = '.modal-body'\nconst SELECTOR_DATA_TOGGLE = '[data-bs-toggle=\"modal\"]'\n\nconst Default = {\n  backdrop: true,\n  focus: true,\n  keyboard: true\n}\n\nconst DefaultType = {\n  backdrop: '(boolean|string)',\n  focus: 'boolean',\n  keyboard: 'boolean'\n}\n\n/**\n * Class definition\n */\n\nclass Modal extends BaseComponent {\n  constructor(element, config) {\n    super(element, config)\n\n    this._dialog = SelectorEngine.findOne(SELECTOR_DIALOG, this._element)\n    this._backdrop = this._initializeBackDrop()\n    this._focustrap = this._initializeFocusTrap()\n    this._isShown = false\n    this._isTransitioning = false\n    this._scrollBar = new ScrollBarHelper()\n\n    this._addEventListeners()\n  }\n\n  // Getters\n  static get Default() {\n    return Default\n  }\n\n  static get DefaultType() {\n    return DefaultType\n  }\n\n  static get NAME() {\n    return NAME\n  }\n\n  // Public\n  toggle(relatedTarget) {\n    return this._isShown ? this.hide() : this.show(relatedTarget)\n  }\n\n  show(relatedTarget) {\n    if (this._isShown || this._isTransitioning) {\n      return\n    }\n\n    const showEvent = EventHandler.trigger(this._element, EVENT_SHOW, {\n      relatedTarget\n    })\n\n    if (showEvent.defaultPrevented) {\n      return\n    }\n\n    this._isShown = true\n    this._isTransitioning = true\n\n    this._scrollBar.hide()\n\n    document.body.classList.add(CLASS_NAME_OPEN)\n\n    this._adjustDialog()\n\n    this._backdrop.show(() => this._showElement(relatedTarget))\n  }\n\n  hide() {\n    if (!this._isShown || this._isTransitioning) {\n      return\n    }\n\n    const hideEvent = EventHandler.trigger(this._element, EVENT_HIDE)\n\n    if (hideEvent.defaultPrevented) {\n      return\n    }\n\n    this._isShown = false\n    this._isTransitioning = true\n    this._focustrap.deactivate()\n\n    this._element.classList.remove(CLASS_NAME_SHOW)\n\n    this._queueCallback(() => this._hideModal(), this._element, this._isAnimated())\n  }\n\n  dispose() {\n    for (const htmlElement of [window, this._dialog]) {\n      EventHandler.off(htmlElement, EVENT_KEY)\n    }\n\n    this._backdrop.dispose()\n    this._focustrap.deactivate()\n    super.dispose()\n  }\n\n  handleUpdate() {\n    this._adjustDialog()\n  }\n\n  // Private\n  _initializeBackDrop() {\n    return new Backdrop({\n      isVisible: Boolean(this._config.backdrop), // 'static' option will be translated to true, and booleans will keep their value,\n      isAnimated: this._isAnimated()\n    })\n  }\n\n  _initializeFocusTrap() {\n    return new FocusTrap({\n      trapElement: this._element\n    })\n  }\n\n  _showElement(relatedTarget) {\n    // try to append dynamic modal\n    if (!document.body.contains(this._element)) {\n      document.body.append(this._element)\n    }\n\n    this._element.style.display = 'block'\n    this._element.removeAttribute('aria-hidden')\n    this._element.setAttribute('aria-modal', true)\n    this._element.setAttribute('role', 'dialog')\n    this._element.scrollTop = 0\n\n    const modalBody = SelectorEngine.findOne(SELECTOR_MODAL_BODY, this._dialog)\n    if (modalBody) {\n      modalBody.scrollTop = 0\n    }\n\n    reflow(this._element)\n\n    this._element.classList.add(CLASS_NAME_SHOW)\n\n    const transitionComplete = () => {\n      if (this._config.focus) {\n        this._focustrap.activate()\n      }\n\n      this._isTransitioning = false\n      EventHandler.trigger(this._element, EVENT_SHOWN, {\n        relatedTarget\n      })\n    }\n\n    this._queueCallback(transitionComplete, this._dialog, this._isAnimated())\n  }\n\n  _addEventListeners() {\n    EventHandler.on(this._element, EVENT_KEYDOWN_DISMISS, event => {\n      if (event.key !== ESCAPE_KEY) {\n        return\n      }\n\n      if (this._config.keyboard) {\n        event.preventDefault()\n        this.hide()\n        return\n      }\n\n      this._triggerBackdropTransition()\n    })\n\n    EventHandler.on(window, EVENT_RESIZE, () => {\n      if (this._isShown && !this._isTransitioning) {\n        this._adjustDialog()\n      }\n    })\n\n    EventHandler.on(this._element, EVENT_MOUSEDOWN_DISMISS, event => {\n      // a bad trick to segregate clicks that may start inside dialog but end outside, and avoid listen to scrollbar clicks\n      EventHandler.one(this._element, EVENT_CLICK_DISMISS, event2 => {\n        if (this._element !== event.target || this._element !== event2.target) {\n          return\n        }\n\n        if (this._config.backdrop === 'static') {\n          this._triggerBackdropTransition()\n          return\n        }\n\n        if (this._config.backdrop) {\n          this.hide()\n        }\n      })\n    })\n  }\n\n  _hideModal() {\n    this._element.style.display = 'none'\n    this._element.setAttribute('aria-hidden', true)\n    this._element.removeAttribute('aria-modal')\n    this._element.removeAttribute('role')\n    this._isTransitioning = false\n\n    this._backdrop.hide(() => {\n      document.body.classList.remove(CLASS_NAME_OPEN)\n      this._resetAdjustments()\n      this._scrollBar.reset()\n      EventHandler.trigger(this._element, EVENT_HIDDEN)\n    })\n  }\n\n  _isAnimated() {\n    return this._element.classList.contains(CLASS_NAME_FADE)\n  }\n\n  _triggerBackdropTransition() {\n    const hideEvent = EventHandler.trigger(this._element, EVENT_HIDE_PREVENTED)\n    if (hideEvent.defaultPrevented) {\n      return\n    }\n\n    const isModalOverflowing = this._element.scrollHeight > document.documentElement.clientHeight\n    const initialOverflowY = this._element.style.overflowY\n    // return if the following background transition hasn't yet completed\n    if (initialOverflowY === 'hidden' || this._element.classList.contains(CLASS_NAME_STATIC)) {\n      return\n    }\n\n    if (!isModalOverflowing) {\n      this._element.style.overflowY = 'hidden'\n    }\n\n    this._element.classList.add(CLASS_NAME_STATIC)\n    this._queueCallback(() => {\n      this._element.classList.remove(CLASS_NAME_STATIC)\n      this._queueCallback(() => {\n        this._element.style.overflowY = initialOverflowY\n      }, this._dialog)\n    }, this._dialog)\n\n    this._element.focus()\n  }\n\n  /**\n   * The following methods are used to handle overflowing modals\n   */\n\n  _adjustDialog() {\n    const isModalOverflowing = this._element.scrollHeight > document.documentElement.clientHeight\n    const scrollbarWidth = this._scrollBar.getWidth()\n    const isBodyOverflowing = scrollbarWidth > 0\n\n    if (isBodyOverflowing && !isModalOverflowing) {\n      const property = isRTL() ? 'paddingLeft' : 'paddingRight'\n      this._element.style[property] = `${scrollbarWidth}px`\n    }\n\n    if (!isBodyOverflowing && isModalOverflowing) {\n      const property = isRTL() ? 'paddingRight' : 'paddingLeft'\n      this._element.style[property] = `${scrollbarWidth}px`\n    }\n  }\n\n  _resetAdjustments() {\n    this._element.style.paddingLeft = ''\n    this._element.style.paddingRight = ''\n  }\n\n  // Static\n  static jQueryInterface(config, relatedTarget) {\n    return this.each(function () {\n      const data = Modal.getOrCreateInstance(this, config)\n\n      if (typeof config !== 'string') {\n        return\n      }\n\n      if (typeof data[config] === 'undefined') {\n        throw new TypeError(`No method named \"${config}\"`)\n      }\n\n      data[config](relatedTarget)\n    })\n  }\n}\n\n/**\n * Data API implementation\n */\n\nEventHandler.on(document, EVENT_CLICK_DATA_API, SELECTOR_DATA_TOGGLE, function (event) {\n  const target = getElementFromSelector(this)\n\n  if (['A', 'AREA'].includes(this.tagName)) {\n    event.preventDefault()\n  }\n\n  EventHandler.one(target, EVENT_SHOW, showEvent => {\n    if (showEvent.defaultPrevented) {\n      // only register focus restorer if modal will actually get shown\n      return\n    }\n\n    EventHandler.one(target, EVENT_HIDDEN, () => {\n      if (isVisible(this)) {\n        this.focus()\n      }\n    })\n  })\n\n  // avoid conflict when clicking modal toggler while another one is open\n  const alreadyOpen = SelectorEngine.findOne(OPEN_SELECTOR)\n  if (alreadyOpen) {\n    Modal.getInstance(alreadyOpen).hide()\n  }\n\n  const data = Modal.getOrCreateInstance(target)\n\n  data.toggle(this)\n})\n\nenableDismissTrigger(Modal)\n\n/**\n * jQuery\n */\n\ndefineJQueryPlugin(Modal)\n\nexport default Modal\n","/**\n * --------------------------------------------------------------------------\n * Bootstrap (v5.2.2): offcanvas.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\nimport {\n  defineJQueryPlugin,\n  getElementFromSelector,\n  isDisabled,\n  isVisible\n} from './util/index'\nimport ScrollBarHelper from './util/scrollbar'\nimport EventHandler from './dom/event-handler'\nimport BaseComponent from './base-component'\nimport SelectorEngine from './dom/selector-engine'\nimport Backdrop from './util/backdrop'\nimport FocusTrap from './util/focustrap'\nimport { enableDismissTrigger } from './util/component-functions'\n\n/**\n * Constants\n */\n\nconst NAME = 'offcanvas'\nconst DATA_KEY = 'bs.offcanvas'\nconst EVENT_KEY = `.${DATA_KEY}`\nconst DATA_API_KEY = '.data-api'\nconst EVENT_LOAD_DATA_API = `load${EVENT_KEY}${DATA_API_KEY}`\nconst ESCAPE_KEY = 'Escape'\n\nconst CLASS_NAME_SHOW = 'show'\nconst CLASS_NAME_SHOWING = 'showing'\nconst CLASS_NAME_HIDING = 'hiding'\nconst CLASS_NAME_BACKDROP = 'offcanvas-backdrop'\nconst OPEN_SELECTOR = '.offcanvas.show'\n\nconst EVENT_SHOW = `show${EVENT_KEY}`\nconst EVENT_SHOWN = `shown${EVENT_KEY}`\nconst EVENT_HIDE = `hide${EVENT_KEY}`\nconst EVENT_HIDE_PREVENTED = `hidePrevented${EVENT_KEY}`\nconst EVENT_HIDDEN = `hidden${EVENT_KEY}`\nconst EVENT_RESIZE = `resize${EVENT_KEY}`\nconst EVENT_CLICK_DATA_API = `click${EVENT_KEY}${DATA_API_KEY}`\nconst EVENT_KEYDOWN_DISMISS = `keydown.dismiss${EVENT_KEY}`\n\nconst SELECTOR_DATA_TOGGLE = '[data-bs-toggle=\"offcanvas\"]'\n\nconst Default = {\n  backdrop: true,\n  keyboard: true,\n  scroll: false\n}\n\nconst DefaultType = {\n  backdrop: '(boolean|string)',\n  keyboard: 'boolean',\n  scroll: 'boolean'\n}\n\n/**\n * Class definition\n */\n\nclass Offcanvas extends BaseComponent {\n  constructor(element, config) {\n    super(element, config)\n\n    this._isShown = false\n    this._backdrop = this._initializeBackDrop()\n    this._focustrap = this._initializeFocusTrap()\n    this._addEventListeners()\n  }\n\n  // Getters\n  static get Default() {\n    return Default\n  }\n\n  static get DefaultType() {\n    return DefaultType\n  }\n\n  static get NAME() {\n    return NAME\n  }\n\n  // Public\n  toggle(relatedTarget) {\n    return this._isShown ? this.hide() : this.show(relatedTarget)\n  }\n\n  show(relatedTarget) {\n    if (this._isShown) {\n      return\n    }\n\n    const showEvent = EventHandler.trigger(this._element, EVENT_SHOW, { relatedTarget })\n\n    if (showEvent.defaultPrevented) {\n      return\n    }\n\n    this._isShown = true\n    this._backdrop.show()\n\n    if (!this._config.scroll) {\n      new ScrollBarHelper().hide()\n    }\n\n    this._element.setAttribute('aria-modal', true)\n    this._element.setAttribute('role', 'dialog')\n    this._element.classList.add(CLASS_NAME_SHOWING)\n\n    const completeCallBack = () => {\n      if (!this._config.scroll || this._config.backdrop) {\n        this._focustrap.activate()\n      }\n\n      this._element.classList.add(CLASS_NAME_SHOW)\n      this._element.classList.remove(CLASS_NAME_SHOWING)\n      EventHandler.trigger(this._element, EVENT_SHOWN, { relatedTarget })\n    }\n\n    this._queueCallback(completeCallBack, this._element, true)\n  }\n\n  hide() {\n    if (!this._isShown) {\n      return\n    }\n\n    const hideEvent = EventHandler.trigger(this._element, EVENT_HIDE)\n\n    if (hideEvent.defaultPrevented) {\n      return\n    }\n\n    this._focustrap.deactivate()\n    this._element.blur()\n    this._isShown = false\n    this._element.classList.add(CLASS_NAME_HIDING)\n    this._backdrop.hide()\n\n    const completeCallback = () => {\n      this._element.classList.remove(CLASS_NAME_SHOW, CLASS_NAME_HIDING)\n      this._element.removeAttribute('aria-modal')\n      this._element.removeAttribute('role')\n\n      if (!this._config.scroll) {\n        new ScrollBarHelper().reset()\n      }\n\n      EventHandler.trigger(this._element, EVENT_HIDDEN)\n    }\n\n    this._queueCallback(completeCallback, this._element, true)\n  }\n\n  dispose() {\n    this._backdrop.dispose()\n    this._focustrap.deactivate()\n    super.dispose()\n  }\n\n  // Private\n  _initializeBackDrop() {\n    const clickCallback = () => {\n      if (this._config.backdrop === 'static') {\n        EventHandler.trigger(this._element, EVENT_HIDE_PREVENTED)\n        return\n      }\n\n      this.hide()\n    }\n\n    // 'static' option will be translated to true, and booleans will keep their value\n    const isVisible = Boolean(this._config.backdrop)\n\n    return new Backdrop({\n      className: CLASS_NAME_BACKDROP,\n      isVisible,\n      isAnimated: true,\n      rootElement: this._element.parentNode,\n      clickCallback: isVisible ? clickCallback : null\n    })\n  }\n\n  _initializeFocusTrap() {\n    return new FocusTrap({\n      trapElement: this._element\n    })\n  }\n\n  _addEventListeners() {\n    EventHandler.on(this._element, EVENT_KEYDOWN_DISMISS, event => {\n      if (event.key !== ESCAPE_KEY) {\n        return\n      }\n\n      if (!this._config.keyboard) {\n        EventHandler.trigger(this._element, EVENT_HIDE_PREVENTED)\n        return\n      }\n\n      this.hide()\n    })\n  }\n\n  // Static\n  static jQueryInterface(config) {\n    return this.each(function () {\n      const data = Offcanvas.getOrCreateInstance(this, config)\n\n      if (typeof config !== 'string') {\n        return\n      }\n\n      if (data[config] === undefined || config.startsWith('_') || config === 'constructor') {\n        throw new TypeError(`No method named \"${config}\"`)\n      }\n\n      data[config](this)\n    })\n  }\n}\n\n/**\n * Data API implementation\n */\n\nEventHandler.on(document, EVENT_CLICK_DATA_API, SELECTOR_DATA_TOGGLE, function (event) {\n  const target = getElementFromSelector(this)\n\n  if (['A', 'AREA'].includes(this.tagName)) {\n    event.preventDefault()\n  }\n\n  if (isDisabled(this)) {\n    return\n  }\n\n  EventHandler.one(target, EVENT_HIDDEN, () => {\n    // focus on trigger when it is closed\n    if (isVisible(this)) {\n      this.focus()\n    }\n  })\n\n  // avoid conflict when clicking a toggler of an offcanvas, while another is open\n  const alreadyOpen = SelectorEngine.findOne(OPEN_SELECTOR)\n  if (alreadyOpen && alreadyOpen !== target) {\n    Offcanvas.getInstance(alreadyOpen).hide()\n  }\n\n  const data = Offcanvas.getOrCreateInstance(target)\n  data.toggle(this)\n})\n\nEventHandler.on(window, EVENT_LOAD_DATA_API, () => {\n  for (const selector of SelectorEngine.find(OPEN_SELECTOR)) {\n    Offcanvas.getOrCreateInstance(selector).show()\n  }\n})\n\nEventHandler.on(window, EVENT_RESIZE, () => {\n  for (const element of SelectorEngine.find('[aria-modal][class*=show][class*=offcanvas-]')) {\n    if (getComputedStyle(element).position !== 'fixed') {\n      Offcanvas.getOrCreateInstance(element).hide()\n    }\n  }\n})\n\nenableDismissTrigger(Offcanvas)\n\n/**\n * jQuery\n */\n\ndefineJQueryPlugin(Offcanvas)\n\nexport default Offcanvas\n","/**\n * --------------------------------------------------------------------------\n * Bootstrap (v5.2.2): util/sanitizer.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\nconst uriAttributes = new Set([\n  'background',\n  'cite',\n  'href',\n  'itemtype',\n  'longdesc',\n  'poster',\n  'src',\n  'xlink:href'\n])\n\nconst ARIA_ATTRIBUTE_PATTERN = /^aria-[\\w-]*$/i\n\n/**\n * A pattern that recognizes a commonly useful subset of URLs that are safe.\n *\n * Shout-out to Angular https://github.com/angular/angular/blob/12.2.x/packages/core/src/sanitization/url_sanitizer.ts\n */\nconst SAFE_URL_PATTERN = /^(?:(?:https?|mailto|ftp|tel|file|sms):|[^#&/:?]*(?:[#/?]|$))/i\n\n/**\n * A pattern that matches safe data URLs. Only matches image, video and audio types.\n *\n * Shout-out to Angular https://github.com/angular/angular/blob/12.2.x/packages/core/src/sanitization/url_sanitizer.ts\n */\nconst DATA_URL_PATTERN = /^data:(?:image\\/(?:bmp|gif|jpeg|jpg|png|tiff|webp)|video\\/(?:mpeg|mp4|ogg|webm)|audio\\/(?:mp3|oga|ogg|opus));base64,[\\d+/a-z]+=*$/i\n\nconst allowedAttribute = (attribute, allowedAttributeList) => {\n  const attributeName = attribute.nodeName.toLowerCase()\n\n  if (allowedAttributeList.includes(attributeName)) {\n    if (uriAttributes.has(attributeName)) {\n      return Boolean(SAFE_URL_PATTERN.test(attribute.nodeValue) || DATA_URL_PATTERN.test(attribute.nodeValue))\n    }\n\n    return true\n  }\n\n  // Check if a regular expression validates the attribute.\n  return allowedAttributeList.filter(attributeRegex => attributeRegex instanceof RegExp)\n    .some(regex => regex.test(attributeName))\n}\n\nexport const DefaultAllowlist = {\n  // Global attributes allowed on any supplied element below.\n  '*': ['class', 'dir', 'id', 'lang', 'role', ARIA_ATTRIBUTE_PATTERN],\n  a: ['target', 'href', 'title', 'rel'],\n  area: [],\n  b: [],\n  br: [],\n  col: [],\n  code: [],\n  div: [],\n  em: [],\n  hr: [],\n  h1: [],\n  h2: [],\n  h3: [],\n  h4: [],\n  h5: [],\n  h6: [],\n  i: [],\n  img: ['src', 'srcset', 'alt', 'title', 'width', 'height'],\n  li: [],\n  ol: [],\n  p: [],\n  pre: [],\n  s: [],\n  small: [],\n  span: [],\n  sub: [],\n  sup: [],\n  strong: [],\n  u: [],\n  ul: []\n}\n\nexport function sanitizeHtml(unsafeHtml, allowList, sanitizeFunction) {\n  if (!unsafeHtml.length) {\n    return unsafeHtml\n  }\n\n  if (sanitizeFunction && typeof sanitizeFunction === 'function') {\n    return sanitizeFunction(unsafeHtml)\n  }\n\n  const domParser = new window.DOMParser()\n  const createdDocument = domParser.parseFromString(unsafeHtml, 'text/html')\n  const elements = [].concat(...createdDocument.body.querySelectorAll('*'))\n\n  for (const element of elements) {\n    const elementName = element.nodeName.toLowerCase()\n\n    if (!Object.keys(allowList).includes(elementName)) {\n      element.remove()\n\n      continue\n    }\n\n    const attributeList = [].concat(...element.attributes)\n    const allowedAttributes = [].concat(allowList['*'] || [], allowList[elementName] || [])\n\n    for (const attribute of attributeList) {\n      if (!allowedAttribute(attribute, allowedAttributes)) {\n        element.removeAttribute(attribute.nodeName)\n      }\n    }\n  }\n\n  return createdDocument.body.innerHTML\n}\n","/**\n * --------------------------------------------------------------------------\n * Bootstrap (v5.2.2): util/template-factory.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\nimport { DefaultAllowlist, sanitizeHtml } from './sanitizer'\nimport { getElement, isElement } from '../util/index'\nimport SelectorEngine from '../dom/selector-engine'\nimport Config from './config'\n\n/**\n * Constants\n */\n\nconst NAME = 'TemplateFactory'\n\nconst Default = {\n  allowList: DefaultAllowlist,\n  content: {}, // { selector : text ,  selector2 : text2 , }\n  extraClass: '',\n  html: false,\n  sanitize: true,\n  sanitizeFn: null,\n  template: '<div></div>'\n}\n\nconst DefaultType = {\n  allowList: 'object',\n  content: 'object',\n  extraClass: '(string|function)',\n  html: 'boolean',\n  sanitize: 'boolean',\n  sanitizeFn: '(null|function)',\n  template: 'string'\n}\n\nconst DefaultContentType = {\n  entry: '(string|element|function|null)',\n  selector: '(string|element)'\n}\n\n/**\n * Class definition\n */\n\nclass TemplateFactory extends Config {\n  constructor(config) {\n    super()\n    this._config = this._getConfig(config)\n  }\n\n  // Getters\n  static get Default() {\n    return Default\n  }\n\n  static get DefaultType() {\n    return DefaultType\n  }\n\n  static get NAME() {\n    return NAME\n  }\n\n  // Public\n  getContent() {\n    return Object.values(this._config.content)\n      .map(config => this._resolvePossibleFunction(config))\n      .filter(Boolean)\n  }\n\n  hasContent() {\n    return this.getContent().length > 0\n  }\n\n  changeContent(content) {\n    this._checkContent(content)\n    this._config.content = { ...this._config.content, ...content }\n    return this\n  }\n\n  toHtml() {\n    const templateWrapper = document.createElement('div')\n    templateWrapper.innerHTML = this._maybeSanitize(this._config.template)\n\n    for (const [selector, text] of Object.entries(this._config.content)) {\n      this._setContent(templateWrapper, text, selector)\n    }\n\n    const template = templateWrapper.children[0]\n    const extraClass = this._resolvePossibleFunction(this._config.extraClass)\n\n    if (extraClass) {\n      template.classList.add(...extraClass.split(' '))\n    }\n\n    return template\n  }\n\n  // Private\n  _typeCheckConfig(config) {\n    super._typeCheckConfig(config)\n    this._checkContent(config.content)\n  }\n\n  _checkContent(arg) {\n    for (const [selector, content] of Object.entries(arg)) {\n      super._typeCheckConfig({ selector, entry: content }, DefaultContentType)\n    }\n  }\n\n  _setContent(template, content, selector) {\n    const templateElement = SelectorEngine.findOne(selector, template)\n\n    if (!templateElement) {\n      return\n    }\n\n    content = this._resolvePossibleFunction(content)\n\n    if (!content) {\n      templateElement.remove()\n      return\n    }\n\n    if (isElement(content)) {\n      this._putElementInTemplate(getElement(content), templateElement)\n      return\n    }\n\n    if (this._config.html) {\n      templateElement.innerHTML = this._maybeSanitize(content)\n      return\n    }\n\n    templateElement.textContent = content\n  }\n\n  _maybeSanitize(arg) {\n    return this._config.sanitize ? sanitizeHtml(arg, this._config.allowList, this._config.sanitizeFn) : arg\n  }\n\n  _resolvePossibleFunction(arg) {\n    return typeof arg === 'function' ? arg(this) : arg\n  }\n\n  _putElementInTemplate(element, templateElement) {\n    if (this._config.html) {\n      templateElement.innerHTML = ''\n      templateElement.append(element)\n      return\n    }\n\n    templateElement.textContent = element.textContent\n  }\n}\n\nexport default TemplateFactory\n","/**\n * --------------------------------------------------------------------------\n * Bootstrap (v5.2.2): tooltip.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\nimport * as Popper from '@popperjs/core'\nimport { defineJQueryPlugin, findShadowRoot, getElement, getUID, isRTL, noop } from './util/index'\nimport { DefaultAllowlist } from './util/sanitizer'\nimport EventHandler from './dom/event-handler'\nimport Manipulator from './dom/manipulator'\nimport BaseComponent from './base-component'\nimport TemplateFactory from './util/template-factory'\n\n/**\n * Constants\n */\n\nconst NAME = 'tooltip'\nconst DISALLOWED_ATTRIBUTES = new Set(['sanitize', 'allowList', 'sanitizeFn'])\n\nconst CLASS_NAME_FADE = 'fade'\nconst CLASS_NAME_MODAL = 'modal'\nconst CLASS_NAME_SHOW = 'show'\n\nconst SELECTOR_TOOLTIP_INNER = '.tooltip-inner'\nconst SELECTOR_MODAL = `.${CLASS_NAME_MODAL}`\n\nconst EVENT_MODAL_HIDE = 'hide.bs.modal'\n\nconst TRIGGER_HOVER = 'hover'\nconst TRIGGER_FOCUS = 'focus'\nconst TRIGGER_CLICK = 'click'\nconst TRIGGER_MANUAL = 'manual'\n\nconst EVENT_HIDE = 'hide'\nconst EVENT_HIDDEN = 'hidden'\nconst EVENT_SHOW = 'show'\nconst EVENT_SHOWN = 'shown'\nconst EVENT_INSERTED = 'inserted'\nconst EVENT_CLICK = 'click'\nconst EVENT_FOCUSIN = 'focusin'\nconst EVENT_FOCUSOUT = 'focusout'\nconst EVENT_MOUSEENTER = 'mouseenter'\nconst EVENT_MOUSELEAVE = 'mouseleave'\n\nconst AttachmentMap = {\n  AUTO: 'auto',\n  TOP: 'top',\n  RIGHT: isRTL() ? 'left' : 'right',\n  BOTTOM: 'bottom',\n  LEFT: isRTL() ? 'right' : 'left'\n}\n\nconst Default = {\n  allowList: DefaultAllowlist,\n  animation: true,\n  boundary: 'clippingParents',\n  container: false,\n  customClass: '',\n  delay: 0,\n  fallbackPlacements: ['top', 'right', 'bottom', 'left'],\n  html: false,\n  offset: [0, 0],\n  placement: 'top',\n  popperConfig: null,\n  sanitize: true,\n  sanitizeFn: null,\n  selector: false,\n  template: '<div class=\"tooltip\" role=\"tooltip\">' +\n            '<div class=\"tooltip-arrow\"></div>' +\n            '<div class=\"tooltip-inner\"></div>' +\n            '</div>',\n  title: '',\n  trigger: 'hover focus'\n}\n\nconst DefaultType = {\n  allowList: 'object',\n  animation: 'boolean',\n  boundary: '(string|element)',\n  container: '(string|element|boolean)',\n  customClass: '(string|function)',\n  delay: '(number|object)',\n  fallbackPlacements: 'array',\n  html: 'boolean',\n  offset: '(array|string|function)',\n  placement: '(string|function)',\n  popperConfig: '(null|object|function)',\n  sanitize: 'boolean',\n  sanitizeFn: '(null|function)',\n  selector: '(string|boolean)',\n  template: 'string',\n  title: '(string|element|function)',\n  trigger: 'string'\n}\n\n/**\n * Class definition\n */\n\nclass Tooltip extends BaseComponent {\n  constructor(element, config) {\n    if (typeof Popper === 'undefined') {\n      throw new TypeError('Bootstrap\\'s tooltips require Popper (https://popper.js.org)')\n    }\n\n    super(element, config)\n\n    // Private\n    this._isEnabled = true\n    this._timeout = 0\n    this._isHovered = null\n    this._activeTrigger = {}\n    this._popper = null\n    this._templateFactory = null\n    this._newContent = null\n\n    // Protected\n    this.tip = null\n\n    this._setListeners()\n\n    if (!this._config.selector) {\n      this._fixTitle()\n    }\n  }\n\n  // Getters\n  static get Default() {\n    return Default\n  }\n\n  static get DefaultType() {\n    return DefaultType\n  }\n\n  static get NAME() {\n    return NAME\n  }\n\n  // Public\n  enable() {\n    this._isEnabled = true\n  }\n\n  disable() {\n    this._isEnabled = false\n  }\n\n  toggleEnabled() {\n    this._isEnabled = !this._isEnabled\n  }\n\n  toggle() {\n    if (!this._isEnabled) {\n      return\n    }\n\n    this._activeTrigger.click = !this._activeTrigger.click\n    if (this._isShown()) {\n      this._leave()\n      return\n    }\n\n    this._enter()\n  }\n\n  dispose() {\n    clearTimeout(this._timeout)\n\n    EventHandler.off(this._element.closest(SELECTOR_MODAL), EVENT_MODAL_HIDE, this._hideModalHandler)\n\n    if (this.tip) {\n      this.tip.remove()\n    }\n\n    if (this._element.getAttribute('data-bs-original-title')) {\n      this._element.setAttribute('title', this._element.getAttribute('data-bs-original-title'))\n    }\n\n    this._disposePopper()\n    super.dispose()\n  }\n\n  show() {\n    if (this._element.style.display === 'none') {\n      throw new Error('Please use show on visible elements')\n    }\n\n    if (!(this._isWithContent() && this._isEnabled)) {\n      return\n    }\n\n    const showEvent = EventHandler.trigger(this._element, this.constructor.eventName(EVENT_SHOW))\n    const shadowRoot = findShadowRoot(this._element)\n    const isInTheDom = (shadowRoot || this._element.ownerDocument.documentElement).contains(this._element)\n\n    if (showEvent.defaultPrevented || !isInTheDom) {\n      return\n    }\n\n    // todo v6 remove this OR make it optional\n    if (this.tip) {\n      this.tip.remove()\n      this.tip = null\n    }\n\n    const tip = this._getTipElement()\n\n    this._element.setAttribute('aria-describedby', tip.getAttribute('id'))\n\n    const { container } = this._config\n\n    if (!this._element.ownerDocument.documentElement.contains(this.tip)) {\n      container.append(tip)\n      EventHandler.trigger(this._element, this.constructor.eventName(EVENT_INSERTED))\n    }\n\n    if (this._popper) {\n      this._popper.update()\n    } else {\n      this._popper = this._createPopper(tip)\n    }\n\n    tip.classList.add(CLASS_NAME_SHOW)\n\n    // If this is a touch-enabled device we add extra\n    // empty mouseover listeners to the body's immediate children;\n    // only needed because of broken event delegation on iOS\n    // https://www.quirksmode.org/blog/archives/2014/02/mouse_event_bub.html\n    if ('ontouchstart' in document.documentElement) {\n      for (const element of [].concat(...document.body.children)) {\n        EventHandler.on(element, 'mouseover', noop)\n      }\n    }\n\n    const complete = () => {\n      EventHandler.trigger(this._element, this.constructor.eventName(EVENT_SHOWN))\n\n      if (this._isHovered === false) {\n        this._leave()\n      }\n\n      this._isHovered = false\n    }\n\n    this._queueCallback(complete, this.tip, this._isAnimated())\n  }\n\n  hide() {\n    if (!this._isShown()) {\n      return\n    }\n\n    const hideEvent = EventHandler.trigger(this._element, this.constructor.eventName(EVENT_HIDE))\n    if (hideEvent.defaultPrevented) {\n      return\n    }\n\n    const tip = this._getTipElement()\n    tip.classList.remove(CLASS_NAME_SHOW)\n\n    // If this is a touch-enabled device we remove the extra\n    // empty mouseover listeners we added for iOS support\n    if ('ontouchstart' in document.documentElement) {\n      for (const element of [].concat(...document.body.children)) {\n        EventHandler.off(element, 'mouseover', noop)\n      }\n    }\n\n    this._activeTrigger[TRIGGER_CLICK] = false\n    this._activeTrigger[TRIGGER_FOCUS] = false\n    this._activeTrigger[TRIGGER_HOVER] = false\n    this._isHovered = null // it is a trick to support manual triggering\n\n    const complete = () => {\n      if (this._isWithActiveTrigger()) {\n        return\n      }\n\n      if (!this._isHovered) {\n        tip.remove()\n      }\n\n      this._element.removeAttribute('aria-describedby')\n      EventHandler.trigger(this._element, this.constructor.eventName(EVENT_HIDDEN))\n\n      this._disposePopper()\n    }\n\n    this._queueCallback(complete, this.tip, this._isAnimated())\n  }\n\n  update() {\n    if (this._popper) {\n      this._popper.update()\n    }\n  }\n\n  // Protected\n  _isWithContent() {\n    return Boolean(this._getTitle())\n  }\n\n  _getTipElement() {\n    if (!this.tip) {\n      this.tip = this._createTipElement(this._newContent || this._getContentForTemplate())\n    }\n\n    return this.tip\n  }\n\n  _createTipElement(content) {\n    const tip = this._getTemplateFactory(content).toHtml()\n\n    // todo: remove this check on v6\n    if (!tip) {\n      return null\n    }\n\n    tip.classList.remove(CLASS_NAME_FADE, CLASS_NAME_SHOW)\n    // todo: on v6 the following can be achieved with CSS only\n    tip.classList.add(`bs-${this.constructor.NAME}-auto`)\n\n    const tipId = getUID(this.constructor.NAME).toString()\n\n    tip.setAttribute('id', tipId)\n\n    if (this._isAnimated()) {\n      tip.classList.add(CLASS_NAME_FADE)\n    }\n\n    return tip\n  }\n\n  setContent(content) {\n    this._newContent = content\n    if (this._isShown()) {\n      this._disposePopper()\n      this.show()\n    }\n  }\n\n  _getTemplateFactory(content) {\n    if (this._templateFactory) {\n      this._templateFactory.changeContent(content)\n    } else {\n      this._templateFactory = new TemplateFactory({\n        ...this._config,\n        // the `content` var has to be after `this._config`\n        // to override config.content in case of popover\n        content,\n        extraClass: this._resolvePossibleFunction(this._config.customClass)\n      })\n    }\n\n    return this._templateFactory\n  }\n\n  _getContentForTemplate() {\n    return {\n      [SELECTOR_TOOLTIP_INNER]: this._getTitle()\n    }\n  }\n\n  _getTitle() {\n    return this._resolvePossibleFunction(this._config.title) || this._element.getAttribute('data-bs-original-title')\n  }\n\n  // Private\n  _initializeOnDelegatedTarget(event) {\n    return this.constructor.getOrCreateInstance(event.delegateTarget, this._getDelegateConfig())\n  }\n\n  _isAnimated() {\n    return this._config.animation || (this.tip && this.tip.classList.contains(CLASS_NAME_FADE))\n  }\n\n  _isShown() {\n    return this.tip && this.tip.classList.contains(CLASS_NAME_SHOW)\n  }\n\n  _createPopper(tip) {\n    const placement = typeof this._config.placement === 'function' ?\n      this._config.placement.call(this, tip, this._element) :\n      this._config.placement\n    const attachment = AttachmentMap[placement.toUpperCase()]\n    return Popper.createPopper(this._element, tip, this._getPopperConfig(attachment))\n  }\n\n  _getOffset() {\n    const { offset } = this._config\n\n    if (typeof offset === 'string') {\n      return offset.split(',').map(value => Number.parseInt(value, 10))\n    }\n\n    if (typeof offset === 'function') {\n      return popperData => offset(popperData, this._element)\n    }\n\n    return offset\n  }\n\n  _resolvePossibleFunction(arg) {\n    return typeof arg === 'function' ? arg.call(this._element) : arg\n  }\n\n  _getPopperConfig(attachment) {\n    const defaultBsPopperConfig = {\n      placement: attachment,\n      modifiers: [\n        {\n          name: 'flip',\n          options: {\n            fallbackPlacements: this._config.fallbackPlacements\n          }\n        },\n        {\n          name: 'offset',\n          options: {\n            offset: this._getOffset()\n          }\n        },\n        {\n          name: 'preventOverflow',\n          options: {\n            boundary: this._config.boundary\n          }\n        },\n        {\n          name: 'arrow',\n          options: {\n            element: `.${this.constructor.NAME}-arrow`\n          }\n        },\n        {\n          name: 'preSetPlacement',\n          enabled: true,\n          phase: 'beforeMain',\n          fn: data => {\n            // Pre-set Popper's placement attribute in order to read the arrow sizes properly.\n            // Otherwise, Popper mixes up the width and height dimensions since the initial arrow style is for top placement\n            this._getTipElement().setAttribute('data-popper-placement', data.state.placement)\n          }\n        }\n      ]\n    }\n\n    return {\n      ...defaultBsPopperConfig,\n      ...(typeof this._config.popperConfig === 'function' ? this._config.popperConfig(defaultBsPopperConfig) : this._config.popperConfig)\n    }\n  }\n\n  _setListeners() {\n    const triggers = this._config.trigger.split(' ')\n\n    for (const trigger of triggers) {\n      if (trigger === 'click') {\n        EventHandler.on(this._element, this.constructor.eventName(EVENT_CLICK), this._config.selector, event => {\n          const context = this._initializeOnDelegatedTarget(event)\n          context.toggle()\n        })\n      } else if (trigger !== TRIGGER_MANUAL) {\n        const eventIn = trigger === TRIGGER_HOVER ?\n          this.constructor.eventName(EVENT_MOUSEENTER) :\n          this.constructor.eventName(EVENT_FOCUSIN)\n        const eventOut = trigger === TRIGGER_HOVER ?\n          this.constructor.eventName(EVENT_MOUSELEAVE) :\n          this.constructor.eventName(EVENT_FOCUSOUT)\n\n        EventHandler.on(this._element, eventIn, this._config.selector, event => {\n          const context = this._initializeOnDelegatedTarget(event)\n          context._activeTrigger[event.type === 'focusin' ? TRIGGER_FOCUS : TRIGGER_HOVER] = true\n          context._enter()\n        })\n        EventHandler.on(this._element, eventOut, this._config.selector, event => {\n          const context = this._initializeOnDelegatedTarget(event)\n          context._activeTrigger[event.type === 'focusout' ? TRIGGER_FOCUS : TRIGGER_HOVER] =\n            context._element.contains(event.relatedTarget)\n\n          context._leave()\n        })\n      }\n    }\n\n    this._hideModalHandler = () => {\n      if (this._element) {\n        this.hide()\n      }\n    }\n\n    EventHandler.on(this._element.closest(SELECTOR_MODAL), EVENT_MODAL_HIDE, this._hideModalHandler)\n  }\n\n  _fixTitle() {\n    const title = this._element.getAttribute('title')\n\n    if (!title) {\n      return\n    }\n\n    if (!this._element.getAttribute('aria-label') && !this._element.textContent.trim()) {\n      this._element.setAttribute('aria-label', title)\n    }\n\n    this._element.setAttribute('data-bs-original-title', title) // DO NOT USE IT. Is only for backwards compatibility\n    this._element.removeAttribute('title')\n  }\n\n  _enter() {\n    if (this._isShown() || this._isHovered) {\n      this._isHovered = true\n      return\n    }\n\n    this._isHovered = true\n\n    this._setTimeout(() => {\n      if (this._isHovered) {\n        this.show()\n      }\n    }, this._config.delay.show)\n  }\n\n  _leave() {\n    if (this._isWithActiveTrigger()) {\n      return\n    }\n\n    this._isHovered = false\n\n    this._setTimeout(() => {\n      if (!this._isHovered) {\n        this.hide()\n      }\n    }, this._config.delay.hide)\n  }\n\n  _setTimeout(handler, timeout) {\n    clearTimeout(this._timeout)\n    this._timeout = setTimeout(handler, timeout)\n  }\n\n  _isWithActiveTrigger() {\n    return Object.values(this._activeTrigger).includes(true)\n  }\n\n  _getConfig(config) {\n    const dataAttributes = Manipulator.getDataAttributes(this._element)\n\n    for (const dataAttribute of Object.keys(dataAttributes)) {\n      if (DISALLOWED_ATTRIBUTES.has(dataAttribute)) {\n        delete dataAttributes[dataAttribute]\n      }\n    }\n\n    config = {\n      ...dataAttributes,\n      ...(typeof config === 'object' && config ? config : {})\n    }\n    config = this._mergeConfigObj(config)\n    config = this._configAfterMerge(config)\n    this._typeCheckConfig(config)\n    return config\n  }\n\n  _configAfterMerge(config) {\n    config.container = config.container === false ? document.body : getElement(config.container)\n\n    if (typeof config.delay === 'number') {\n      config.delay = {\n        show: config.delay,\n        hide: config.delay\n      }\n    }\n\n    if (typeof config.title === 'number') {\n      config.title = config.title.toString()\n    }\n\n    if (typeof config.content === 'number') {\n      config.content = config.content.toString()\n    }\n\n    return config\n  }\n\n  _getDelegateConfig() {\n    const config = {}\n\n    for (const key in this._config) {\n      if (this.constructor.Default[key] !== this._config[key]) {\n        config[key] = this._config[key]\n      }\n    }\n\n    config.selector = false\n    config.trigger = 'manual'\n\n    // In the future can be replaced with:\n    // const keysWithDifferentValues = Object.entries(this._config).filter(entry => this.constructor.Default[entry[0]] !== this._config[entry[0]])\n    // `Object.fromEntries(keysWithDifferentValues)`\n    return config\n  }\n\n  _disposePopper() {\n    if (this._popper) {\n      this._popper.destroy()\n      this._popper = null\n    }\n  }\n\n  // Static\n  static jQueryInterface(config) {\n    return this.each(function () {\n      const data = Tooltip.getOrCreateInstance(this, config)\n\n      if (typeof config !== 'string') {\n        return\n      }\n\n      if (typeof data[config] === 'undefined') {\n        throw new TypeError(`No method named \"${config}\"`)\n      }\n\n      data[config]()\n    })\n  }\n}\n\n/**\n * jQuery\n */\n\ndefineJQueryPlugin(Tooltip)\n\nexport default Tooltip\n","/**\n * --------------------------------------------------------------------------\n * Bootstrap (v5.2.2): popover.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\nimport { defineJQueryPlugin } from './util/index'\nimport Tooltip from './tooltip'\n\n/**\n * Constants\n */\n\nconst NAME = 'popover'\n\nconst SELECTOR_TITLE = '.popover-header'\nconst SELECTOR_CONTENT = '.popover-body'\n\nconst Default = {\n  ...Tooltip.Default,\n  content: '',\n  offset: [0, 8],\n  placement: 'right',\n  template: '<div class=\"popover\" role=\"tooltip\">' +\n    '<div class=\"popover-arrow\"></div>' +\n    '<h3 class=\"popover-header\"></h3>' +\n    '<div class=\"popover-body\"></div>' +\n    '</div>',\n  trigger: 'click'\n}\n\nconst DefaultType = {\n  ...Tooltip.DefaultType,\n  content: '(null|string|element|function)'\n}\n\n/**\n * Class definition\n */\n\nclass Popover extends Tooltip {\n  // Getters\n  static get Default() {\n    return Default\n  }\n\n  static get DefaultType() {\n    return DefaultType\n  }\n\n  static get NAME() {\n    return NAME\n  }\n\n  // Overrides\n  _isWithContent() {\n    return this._getTitle() || this._getContent()\n  }\n\n  // Private\n  _getContentForTemplate() {\n    return {\n      [SELECTOR_TITLE]: this._getTitle(),\n      [SELECTOR_CONTENT]: this._getContent()\n    }\n  }\n\n  _getContent() {\n    return this._resolvePossibleFunction(this._config.content)\n  }\n\n  // Static\n  static jQueryInterface(config) {\n    return this.each(function () {\n      const data = Popover.getOrCreateInstance(this, config)\n\n      if (typeof config !== 'string') {\n        return\n      }\n\n      if (typeof data[config] === 'undefined') {\n        throw new TypeError(`No method named \"${config}\"`)\n      }\n\n      data[config]()\n    })\n  }\n}\n\n/**\n * jQuery\n */\n\ndefineJQueryPlugin(Popover)\n\nexport default Popover\n","/**\n * --------------------------------------------------------------------------\n * Bootstrap (v5.2.2): scrollspy.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\nimport { defineJQueryPlugin, getElement, isDisabled, isVisible } from './util/index'\nimport EventHandler from './dom/event-handler'\nimport SelectorEngine from './dom/selector-engine'\nimport BaseComponent from './base-component'\n\n/**\n * Constants\n */\n\nconst NAME = 'scrollspy'\nconst DATA_KEY = 'bs.scrollspy'\nconst EVENT_KEY = `.${DATA_KEY}`\nconst DATA_API_KEY = '.data-api'\n\nconst EVENT_ACTIVATE = `activate${EVENT_KEY}`\nconst EVENT_CLICK = `click${EVENT_KEY}`\nconst EVENT_LOAD_DATA_API = `load${EVENT_KEY}${DATA_API_KEY}`\n\nconst CLASS_NAME_DROPDOWN_ITEM = 'dropdown-item'\nconst CLASS_NAME_ACTIVE = 'active'\n\nconst SELECTOR_DATA_SPY = '[data-bs-spy=\"scroll\"]'\nconst SELECTOR_TARGET_LINKS = '[href]'\nconst SELECTOR_NAV_LIST_GROUP = '.nav, .list-group'\nconst SELECTOR_NAV_LINKS = '.nav-link'\nconst SELECTOR_NAV_ITEMS = '.nav-item'\nconst SELECTOR_LIST_ITEMS = '.list-group-item'\nconst SELECTOR_LINK_ITEMS = `${SELECTOR_NAV_LINKS}, ${SELECTOR_NAV_ITEMS} > ${SELECTOR_NAV_LINKS}, ${SELECTOR_LIST_ITEMS}`\nconst SELECTOR_DROPDOWN = '.dropdown'\nconst SELECTOR_DROPDOWN_TOGGLE = '.dropdown-toggle'\n\nconst Default = {\n  offset: null, // TODO: v6 @deprecated, keep it for backwards compatibility reasons\n  rootMargin: '0px 0px -25%',\n  smoothScroll: false,\n  target: null,\n  threshold: [0.1, 0.5, 1]\n}\n\nconst DefaultType = {\n  offset: '(number|null)', // TODO v6 @deprecated, keep it for backwards compatibility reasons\n  rootMargin: 'string',\n  smoothScroll: 'boolean',\n  target: 'element',\n  threshold: 'array'\n}\n\n/**\n * Class definition\n */\n\nclass ScrollSpy extends BaseComponent {\n  constructor(element, config) {\n    super(element, config)\n\n    // this._element is the observablesContainer and config.target the menu links wrapper\n    this._targetLinks = new Map()\n    this._observableSections = new Map()\n    this._rootElement = getComputedStyle(this._element).overflowY === 'visible' ? null : this._element\n    this._activeTarget = null\n    this._observer = null\n    this._previousScrollData = {\n      visibleEntryTop: 0,\n      parentScrollTop: 0\n    }\n    this.refresh() // initialize\n  }\n\n  // Getters\n  static get Default() {\n    return Default\n  }\n\n  static get DefaultType() {\n    return DefaultType\n  }\n\n  static get NAME() {\n    return NAME\n  }\n\n  // Public\n  refresh() {\n    this._initializeTargetsAndObservables()\n    this._maybeEnableSmoothScroll()\n\n    if (this._observer) {\n      this._observer.disconnect()\n    } else {\n      this._observer = this._getNewObserver()\n    }\n\n    for (const section of this._observableSections.values()) {\n      this._observer.observe(section)\n    }\n  }\n\n  dispose() {\n    this._observer.disconnect()\n    super.dispose()\n  }\n\n  // Private\n  _configAfterMerge(config) {\n    // TODO: on v6 target should be given explicitly & remove the {target: 'ss-target'} case\n    config.target = getElement(config.target) || document.body\n\n    // TODO: v6 Only for backwards compatibility reasons. Use rootMargin only\n    config.rootMargin = config.offset ? `${config.offset}px 0px -30%` : config.rootMargin\n\n    if (typeof config.threshold === 'string') {\n      config.threshold = config.threshold.split(',').map(value => Number.parseFloat(value))\n    }\n\n    return config\n  }\n\n  _maybeEnableSmoothScroll() {\n    if (!this._config.smoothScroll) {\n      return\n    }\n\n    // unregister any previous listeners\n    EventHandler.off(this._config.target, EVENT_CLICK)\n\n    EventHandler.on(this._config.target, EVENT_CLICK, SELECTOR_TARGET_LINKS, event => {\n      const observableSection = this._observableSections.get(event.target.hash)\n      if (observableSection) {\n        event.preventDefault()\n        const root = this._rootElement || window\n        const height = observableSection.offsetTop - this._element.offsetTop\n        if (root.scrollTo) {\n          root.scrollTo({ top: height, behavior: 'smooth' })\n          return\n        }\n\n        // Chrome 60 doesn't support `scrollTo`\n        root.scrollTop = height\n      }\n    })\n  }\n\n  _getNewObserver() {\n    const options = {\n      root: this._rootElement,\n      threshold: this._config.threshold,\n      rootMargin: this._config.rootMargin\n    }\n\n    return new IntersectionObserver(entries => this._observerCallback(entries), options)\n  }\n\n  // The logic of selection\n  _observerCallback(entries) {\n    const targetElement = entry => this._targetLinks.get(`#${entry.target.id}`)\n    const activate = entry => {\n      this._previousScrollData.visibleEntryTop = entry.target.offsetTop\n      this._process(targetElement(entry))\n    }\n\n    const parentScrollTop = (this._rootElement || document.documentElement).scrollTop\n    const userScrollsDown = parentScrollTop >= this._previousScrollData.parentScrollTop\n    this._previousScrollData.parentScrollTop = parentScrollTop\n\n    for (const entry of entries) {\n      if (!entry.isIntersecting) {\n        this._activeTarget = null\n        this._clearActiveClass(targetElement(entry))\n\n        continue\n      }\n\n      const entryIsLowerThanPrevious = entry.target.offsetTop >= this._previousScrollData.visibleEntryTop\n      // if we are scrolling down, pick the bigger offsetTop\n      if (userScrollsDown && entryIsLowerThanPrevious) {\n        activate(entry)\n        // if parent isn't scrolled, let's keep the first visible item, breaking the iteration\n        if (!parentScrollTop) {\n          return\n        }\n\n        continue\n      }\n\n      // if we are scrolling up, pick the smallest offsetTop\n      if (!userScrollsDown && !entryIsLowerThanPrevious) {\n        activate(entry)\n      }\n    }\n  }\n\n  _initializeTargetsAndObservables() {\n    this._targetLinks = new Map()\n    this._observableSections = new Map()\n\n    const targetLinks = SelectorEngine.find(SELECTOR_TARGET_LINKS, this._config.target)\n\n    for (const anchor of targetLinks) {\n      // ensure that the anchor has an id and is not disabled\n      if (!anchor.hash || isDisabled(anchor)) {\n        continue\n      }\n\n      const observableSection = SelectorEngine.findOne(anchor.hash, this._element)\n\n      // ensure that the observableSection exists & is visible\n      if (isVisible(observableSection)) {\n        this._targetLinks.set(anchor.hash, anchor)\n        this._observableSections.set(anchor.hash, observableSection)\n      }\n    }\n  }\n\n  _process(target) {\n    if (this._activeTarget === target) {\n      return\n    }\n\n    this._clearActiveClass(this._config.target)\n    this._activeTarget = target\n    target.classList.add(CLASS_NAME_ACTIVE)\n    this._activateParents(target)\n\n    EventHandler.trigger(this._element, EVENT_ACTIVATE, { relatedTarget: target })\n  }\n\n  _activateParents(target) {\n    // Activate dropdown parents\n    if (target.classList.contains(CLASS_NAME_DROPDOWN_ITEM)) {\n      SelectorEngine.findOne(SELECTOR_DROPDOWN_TOGGLE, target.closest(SELECTOR_DROPDOWN))\n        .classList.add(CLASS_NAME_ACTIVE)\n      return\n    }\n\n    for (const listGroup of SelectorEngine.parents(target, SELECTOR_NAV_LIST_GROUP)) {\n      // Set triggered links parents as active\n      // With both <ul> and <nav> markup a parent is the previous sibling of any nav ancestor\n      for (const item of SelectorEngine.prev(listGroup, SELECTOR_LINK_ITEMS)) {\n        item.classList.add(CLASS_NAME_ACTIVE)\n      }\n    }\n  }\n\n  _clearActiveClass(parent) {\n    parent.classList.remove(CLASS_NAME_ACTIVE)\n\n    const activeNodes = SelectorEngine.find(`${SELECTOR_TARGET_LINKS}.${CLASS_NAME_ACTIVE}`, parent)\n    for (const node of activeNodes) {\n      node.classList.remove(CLASS_NAME_ACTIVE)\n    }\n  }\n\n  // Static\n  static jQueryInterface(config) {\n    return this.each(function () {\n      const data = ScrollSpy.getOrCreateInstance(this, config)\n\n      if (typeof config !== 'string') {\n        return\n      }\n\n      if (data[config] === undefined || config.startsWith('_') || config === 'constructor') {\n        throw new TypeError(`No method named \"${config}\"`)\n      }\n\n      data[config]()\n    })\n  }\n}\n\n/**\n * Data API implementation\n */\n\nEventHandler.on(window, EVENT_LOAD_DATA_API, () => {\n  for (const spy of SelectorEngine.find(SELECTOR_DATA_SPY)) {\n    ScrollSpy.getOrCreateInstance(spy)\n  }\n})\n\n/**\n * jQuery\n */\n\ndefineJQueryPlugin(ScrollSpy)\n\nexport default ScrollSpy\n","/**\n * --------------------------------------------------------------------------\n * Bootstrap (v5.2.2): tab.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\nimport { defineJQueryPlugin, getElementFromSelector, getNextActiveElement, isDisabled } from './util/index'\nimport EventHandler from './dom/event-handler'\nimport SelectorEngine from './dom/selector-engine'\nimport BaseComponent from './base-component'\n\n/**\n * Constants\n */\n\nconst NAME = 'tab'\nconst DATA_KEY = 'bs.tab'\nconst EVENT_KEY = `.${DATA_KEY}`\n\nconst EVENT_HIDE = `hide${EVENT_KEY}`\nconst EVENT_HIDDEN = `hidden${EVENT_KEY}`\nconst EVENT_SHOW = `show${EVENT_KEY}`\nconst EVENT_SHOWN = `shown${EVENT_KEY}`\nconst EVENT_CLICK_DATA_API = `click${EVENT_KEY}`\nconst EVENT_KEYDOWN = `keydown${EVENT_KEY}`\nconst EVENT_LOAD_DATA_API = `load${EVENT_KEY}`\n\nconst ARROW_LEFT_KEY = 'ArrowLeft'\nconst ARROW_RIGHT_KEY = 'ArrowRight'\nconst ARROW_UP_KEY = 'ArrowUp'\nconst ARROW_DOWN_KEY = 'ArrowDown'\n\nconst CLASS_NAME_ACTIVE = 'active'\nconst CLASS_NAME_FADE = 'fade'\nconst CLASS_NAME_SHOW = 'show'\nconst CLASS_DROPDOWN = 'dropdown'\n\nconst SELECTOR_DROPDOWN_TOGGLE = '.dropdown-toggle'\nconst SELECTOR_DROPDOWN_MENU = '.dropdown-menu'\nconst NOT_SELECTOR_DROPDOWN_TOGGLE = ':not(.dropdown-toggle)'\n\nconst SELECTOR_TAB_PANEL = '.list-group, .nav, [role=\"tablist\"]'\nconst SELECTOR_OUTER = '.nav-item, .list-group-item'\nconst SELECTOR_INNER = `.nav-link${NOT_SELECTOR_DROPDOWN_TOGGLE}, .list-group-item${NOT_SELECTOR_DROPDOWN_TOGGLE}, [role=\"tab\"]${NOT_SELECTOR_DROPDOWN_TOGGLE}`\nconst SELECTOR_DATA_TOGGLE = '[data-bs-toggle=\"tab\"], [data-bs-toggle=\"pill\"], [data-bs-toggle=\"list\"]' // todo:v6: could be only `tab`\nconst SELECTOR_INNER_ELEM = `${SELECTOR_INNER}, ${SELECTOR_DATA_TOGGLE}`\n\nconst SELECTOR_DATA_TOGGLE_ACTIVE = `.${CLASS_NAME_ACTIVE}[data-bs-toggle=\"tab\"], .${CLASS_NAME_ACTIVE}[data-bs-toggle=\"pill\"], .${CLASS_NAME_ACTIVE}[data-bs-toggle=\"list\"]`\n\n/**\n * Class definition\n */\n\nclass Tab extends BaseComponent {\n  constructor(element) {\n    super(element)\n    this._parent = this._element.closest(SELECTOR_TAB_PANEL)\n\n    if (!this._parent) {\n      return\n      // todo: should Throw exception on v6\n      // throw new TypeError(`${element.outerHTML} has not a valid parent ${SELECTOR_INNER_ELEM}`)\n    }\n\n    // Set up initial aria attributes\n    this._setInitialAttributes(this._parent, this._getChildren())\n\n    EventHandler.on(this._element, EVENT_KEYDOWN, event => this._keydown(event))\n  }\n\n  // Getters\n  static get NAME() {\n    return NAME\n  }\n\n  // Public\n  show() { // Shows this elem and deactivate the active sibling if exists\n    const innerElem = this._element\n    if (this._elemIsActive(innerElem)) {\n      return\n    }\n\n    // Search for active tab on same parent to deactivate it\n    const active = this._getActiveElem()\n\n    const hideEvent = active ?\n      EventHandler.trigger(active, EVENT_HIDE, { relatedTarget: innerElem }) :\n      null\n\n    const showEvent = EventHandler.trigger(innerElem, EVENT_SHOW, { relatedTarget: active })\n\n    if (showEvent.defaultPrevented || (hideEvent && hideEvent.defaultPrevented)) {\n      return\n    }\n\n    this._deactivate(active, innerElem)\n    this._activate(innerElem, active)\n  }\n\n  // Private\n  _activate(element, relatedElem) {\n    if (!element) {\n      return\n    }\n\n    element.classList.add(CLASS_NAME_ACTIVE)\n\n    this._activate(getElementFromSelector(element)) // Search and activate/show the proper section\n\n    const complete = () => {\n      if (element.getAttribute('role') !== 'tab') {\n        element.classList.add(CLASS_NAME_SHOW)\n        return\n      }\n\n      element.removeAttribute('tabindex')\n      element.setAttribute('aria-selected', true)\n      this._toggleDropDown(element, true)\n      EventHandler.trigger(element, EVENT_SHOWN, {\n        relatedTarget: relatedElem\n      })\n    }\n\n    this._queueCallback(complete, element, element.classList.contains(CLASS_NAME_FADE))\n  }\n\n  _deactivate(element, relatedElem) {\n    if (!element) {\n      return\n    }\n\n    element.classList.remove(CLASS_NAME_ACTIVE)\n    element.blur()\n\n    this._deactivate(getElementFromSelector(element)) // Search and deactivate the shown section too\n\n    const complete = () => {\n      if (element.getAttribute('role') !== 'tab') {\n        element.classList.remove(CLASS_NAME_SHOW)\n        return\n      }\n\n      element.setAttribute('aria-selected', false)\n      element.setAttribute('tabindex', '-1')\n      this._toggleDropDown(element, false)\n      EventHandler.trigger(element, EVENT_HIDDEN, { relatedTarget: relatedElem })\n    }\n\n    this._queueCallback(complete, element, element.classList.contains(CLASS_NAME_FADE))\n  }\n\n  _keydown(event) {\n    if (!([ARROW_LEFT_KEY, ARROW_RIGHT_KEY, ARROW_UP_KEY, ARROW_DOWN_KEY].includes(event.key))) {\n      return\n    }\n\n    event.stopPropagation()// stopPropagation/preventDefault both added to support up/down keys without scrolling the page\n    event.preventDefault()\n    const isNext = [ARROW_RIGHT_KEY, ARROW_DOWN_KEY].includes(event.key)\n    const nextActiveElement = getNextActiveElement(this._getChildren().filter(element => !isDisabled(element)), event.target, isNext, true)\n\n    if (nextActiveElement) {\n      nextActiveElement.focus({ preventScroll: true })\n      Tab.getOrCreateInstance(nextActiveElement).show()\n    }\n  }\n\n  _getChildren() { // collection of inner elements\n    return SelectorEngine.find(SELECTOR_INNER_ELEM, this._parent)\n  }\n\n  _getActiveElem() {\n    return this._getChildren().find(child => this._elemIsActive(child)) || null\n  }\n\n  _setInitialAttributes(parent, children) {\n    this._setAttributeIfNotExists(parent, 'role', 'tablist')\n\n    for (const child of children) {\n      this._setInitialAttributesOnChild(child)\n    }\n  }\n\n  _setInitialAttributesOnChild(child) {\n    child = this._getInnerElement(child)\n    const isActive = this._elemIsActive(child)\n    const outerElem = this._getOuterElement(child)\n    child.setAttribute('aria-selected', isActive)\n\n    if (outerElem !== child) {\n      this._setAttributeIfNotExists(outerElem, 'role', 'presentation')\n    }\n\n    if (!isActive) {\n      child.setAttribute('tabindex', '-1')\n    }\n\n    this._setAttributeIfNotExists(child, 'role', 'tab')\n\n    // set attributes to the related panel too\n    this._setInitialAttributesOnTargetPanel(child)\n  }\n\n  _setInitialAttributesOnTargetPanel(child) {\n    const target = getElementFromSelector(child)\n\n    if (!target) {\n      return\n    }\n\n    this._setAttributeIfNotExists(target, 'role', 'tabpanel')\n\n    if (child.id) {\n      this._setAttributeIfNotExists(target, 'aria-labelledby', `#${child.id}`)\n    }\n  }\n\n  _toggleDropDown(element, open) {\n    const outerElem = this._getOuterElement(element)\n    if (!outerElem.classList.contains(CLASS_DROPDOWN)) {\n      return\n    }\n\n    const toggle = (selector, className) => {\n      const element = SelectorEngine.findOne(selector, outerElem)\n      if (element) {\n        element.classList.toggle(className, open)\n      }\n    }\n\n    toggle(SELECTOR_DROPDOWN_TOGGLE, CLASS_NAME_ACTIVE)\n    toggle(SELECTOR_DROPDOWN_MENU, CLASS_NAME_SHOW)\n    outerElem.setAttribute('aria-expanded', open)\n  }\n\n  _setAttributeIfNotExists(element, attribute, value) {\n    if (!element.hasAttribute(attribute)) {\n      element.setAttribute(attribute, value)\n    }\n  }\n\n  _elemIsActive(elem) {\n    return elem.classList.contains(CLASS_NAME_ACTIVE)\n  }\n\n  // Try to get the inner element (usually the .nav-link)\n  _getInnerElement(elem) {\n    return elem.matches(SELECTOR_INNER_ELEM) ? elem : SelectorEngine.findOne(SELECTOR_INNER_ELEM, elem)\n  }\n\n  // Try to get the outer element (usually the .nav-item)\n  _getOuterElement(elem) {\n    return elem.closest(SELECTOR_OUTER) || elem\n  }\n\n  // Static\n  static jQueryInterface(config) {\n    return this.each(function () {\n      const data = Tab.getOrCreateInstance(this)\n\n      if (typeof config !== 'string') {\n        return\n      }\n\n      if (data[config] === undefined || config.startsWith('_') || config === 'constructor') {\n        throw new TypeError(`No method named \"${config}\"`)\n      }\n\n      data[config]()\n    })\n  }\n}\n\n/**\n * Data API implementation\n */\n\nEventHandler.on(document, EVENT_CLICK_DATA_API, SELECTOR_DATA_TOGGLE, function (event) {\n  if (['A', 'AREA'].includes(this.tagName)) {\n    event.preventDefault()\n  }\n\n  if (isDisabled(this)) {\n    return\n  }\n\n  Tab.getOrCreateInstance(this).show()\n})\n\n/**\n * Initialize on focus\n */\nEventHandler.on(window, EVENT_LOAD_DATA_API, () => {\n  for (const element of SelectorEngine.find(SELECTOR_DATA_TOGGLE_ACTIVE)) {\n    Tab.getOrCreateInstance(element)\n  }\n})\n/**\n * jQuery\n */\n\ndefineJQueryPlugin(Tab)\n\nexport default Tab\n","/**\n * --------------------------------------------------------------------------\n * Bootstrap (v5.2.2): toast.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\nimport { defineJQueryPlugin, reflow } from './util/index'\nimport EventHandler from './dom/event-handler'\nimport BaseComponent from './base-component'\nimport { enableDismissTrigger } from './util/component-functions'\n\n/**\n * Constants\n */\n\nconst NAME = 'toast'\nconst DATA_KEY = 'bs.toast'\nconst EVENT_KEY = `.${DATA_KEY}`\n\nconst EVENT_MOUSEOVER = `mouseover${EVENT_KEY}`\nconst EVENT_MOUSEOUT = `mouseout${EVENT_KEY}`\nconst EVENT_FOCUSIN = `focusin${EVENT_KEY}`\nconst EVENT_FOCUSOUT = `focusout${EVENT_KEY}`\nconst EVENT_HIDE = `hide${EVENT_KEY}`\nconst EVENT_HIDDEN = `hidden${EVENT_KEY}`\nconst EVENT_SHOW = `show${EVENT_KEY}`\nconst EVENT_SHOWN = `shown${EVENT_KEY}`\n\nconst CLASS_NAME_FADE = 'fade'\nconst CLASS_NAME_HIDE = 'hide' // @deprecated - kept here only for backwards compatibility\nconst CLASS_NAME_SHOW = 'show'\nconst CLASS_NAME_SHOWING = 'showing'\n\nconst DefaultType = {\n  animation: 'boolean',\n  autohide: 'boolean',\n  delay: 'number'\n}\n\nconst Default = {\n  animation: true,\n  autohide: true,\n  delay: 5000\n}\n\n/**\n * Class definition\n */\n\nclass Toast extends BaseComponent {\n  constructor(element, config) {\n    super(element, config)\n\n    this._timeout = null\n    this._hasMouseInteraction = false\n    this._hasKeyboardInteraction = false\n    this._setListeners()\n  }\n\n  // Getters\n  static get Default() {\n    return Default\n  }\n\n  static get DefaultType() {\n    return DefaultType\n  }\n\n  static get NAME() {\n    return NAME\n  }\n\n  // Public\n  show() {\n    const showEvent = EventHandler.trigger(this._element, EVENT_SHOW)\n\n    if (showEvent.defaultPrevented) {\n      return\n    }\n\n    this._clearTimeout()\n\n    if (this._config.animation) {\n      this._element.classList.add(CLASS_NAME_FADE)\n    }\n\n    const complete = () => {\n      this._element.classList.remove(CLASS_NAME_SHOWING)\n      EventHandler.trigger(this._element, EVENT_SHOWN)\n\n      this._maybeScheduleHide()\n    }\n\n    this._element.classList.remove(CLASS_NAME_HIDE) // @deprecated\n    reflow(this._element)\n    this._element.classList.add(CLASS_NAME_SHOW, CLASS_NAME_SHOWING)\n\n    this._queueCallback(complete, this._element, this._config.animation)\n  }\n\n  hide() {\n    if (!this.isShown()) {\n      return\n    }\n\n    const hideEvent = EventHandler.trigger(this._element, EVENT_HIDE)\n\n    if (hideEvent.defaultPrevented) {\n      return\n    }\n\n    const complete = () => {\n      this._element.classList.add(CLASS_NAME_HIDE) // @deprecated\n      this._element.classList.remove(CLASS_NAME_SHOWING, CLASS_NAME_SHOW)\n      EventHandler.trigger(this._element, EVENT_HIDDEN)\n    }\n\n    this._element.classList.add(CLASS_NAME_SHOWING)\n    this._queueCallback(complete, this._element, this._config.animation)\n  }\n\n  dispose() {\n    this._clearTimeout()\n\n    if (this.isShown()) {\n      this._element.classList.remove(CLASS_NAME_SHOW)\n    }\n\n    super.dispose()\n  }\n\n  isShown() {\n    return this._element.classList.contains(CLASS_NAME_SHOW)\n  }\n\n  // Private\n\n  _maybeScheduleHide() {\n    if (!this._config.autohide) {\n      return\n    }\n\n    if (this._hasMouseInteraction || this._hasKeyboardInteraction) {\n      return\n    }\n\n    this._timeout = setTimeout(() => {\n      this.hide()\n    }, this._config.delay)\n  }\n\n  _onInteraction(event, isInteracting) {\n    switch (event.type) {\n      case 'mouseover':\n      case 'mouseout': {\n        this._hasMouseInteraction = isInteracting\n        break\n      }\n\n      case 'focusin':\n      case 'focusout': {\n        this._hasKeyboardInteraction = isInteracting\n        break\n      }\n\n      default: {\n        break\n      }\n    }\n\n    if (isInteracting) {\n      this._clearTimeout()\n      return\n    }\n\n    const nextElement = event.relatedTarget\n    if (this._element === nextElement || this._element.contains(nextElement)) {\n      return\n    }\n\n    this._maybeScheduleHide()\n  }\n\n  _setListeners() {\n    EventHandler.on(this._element, EVENT_MOUSEOVER, event => this._onInteraction(event, true))\n    EventHandler.on(this._element, EVENT_MOUSEOUT, event => this._onInteraction(event, false))\n    EventHandler.on(this._element, EVENT_FOCUSIN, event => this._onInteraction(event, true))\n    EventHandler.on(this._element, EVENT_FOCUSOUT, event => this._onInteraction(event, false))\n  }\n\n  _clearTimeout() {\n    clearTimeout(this._timeout)\n    this._timeout = null\n  }\n\n  // Static\n  static jQueryInterface(config) {\n    return this.each(function () {\n      const data = Toast.getOrCreateInstance(this, config)\n\n      if (typeof config === 'string') {\n        if (typeof data[config] === 'undefined') {\n          throw new TypeError(`No method named \"${config}\"`)\n        }\n\n        data[config](this)\n      }\n    })\n  }\n}\n\n/**\n * Data API implementation\n */\n\nenableDismissTrigger(Toast)\n\n/**\n * jQuery\n */\n\ndefineJQueryPlugin(Toast)\n\nexport default Toast\n","/**\n * --------------------------------------------------------------------------\n * Bootstrap (v5.2.2): index.umd.js\n * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)\n * --------------------------------------------------------------------------\n */\n\nimport Alert from './src/alert'\nimport Button from './src/button'\nimport Carousel from './src/carousel'\nimport Collapse from './src/collapse'\nimport Dropdown from './src/dropdown'\nimport Modal from './src/modal'\nimport Offcanvas from './src/offcanvas'\nimport Popover from './src/popover'\nimport ScrollSpy from './src/scrollspy'\nimport Tab from './src/tab'\nimport Toast from './src/toast'\nimport Tooltip from './src/tooltip'\n\nexport default {\n  Alert,\n  Button,\n  Carousel,\n  Collapse,\n  Dropdown,\n  Modal,\n  Offcanvas,\n  Popover,\n  ScrollSpy,\n  Tab,\n  Toast,\n  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\ No newline at end of file
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/bslib/lib/bs5/dist/js/bootstrap.bundle.min.js
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/bslib/lib/bs5/dist/js/bootstrap.bundle.min.js	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/bslib/lib/bs5/dist/js/bootstrap.bundle.min.js	(revision 3761)
@@ -0,0 +1,7 @@
+/*!
+  * Bootstrap v5.2.2 (https://getbootstrap.com/)
+  * Copyright 2011-2022 The Bootstrap Authors (https://github.com/twbs/bootstrap/graphs/contributors)
+  * Licensed under MIT (https://github.com/twbs/bootstrap/blob/main/LICENSE)
+  */
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J,Z="x"===y?gt:bt,tt="x"===y?mt:_t,et=A[w],it="y"===w?"height":"width",nt=et+m[Z],st=et-m[tt],ot=-1!==[gt,bt].indexOf(_),rt=null!=(J=null==x?void 0:x[w])?J:0,at=ot?nt:et-E[it]-T[it]-rt+O.altAxis,lt=ot?et+E[it]+T[it]-rt-O.altAxis:st,ct=f&&ot?function(t,e,i){var n=ae(t,e,i);return n>i?i:n}(at,et,lt):ae(f?at:nt,et,f?lt:st);A[w]=ct,k[w]=ct-et}e.modifiersData[n]=k}},requiresIfExists:["offset"]};function $e(t,e,i){void 0===i&&(i=!1);var n,s,o=zt(e),r=zt(e)&&function(t){var e=t.getBoundingClientRect(),i=Xt(e.width)/t.offsetWidth||1,n=Xt(e.height)/t.offsetHeight||1;return 1!==i||1!==n}(e),a=ie(e),l=Gt(t,r,i),c={scrollLeft:0,scrollTop:0},h={x:0,y:0};return(o||!o&&!i)&&(("body"!==Wt(e)||Ee(a))&&(c=(n=e)!==Bt(n)&&zt(n)?{scrollLeft:(s=n).scrollLeft,scrollTop:s.scrollTop}:we(n)),zt(e)?((h=Gt(e,!0)).x+=e.clientLeft,h.y+=e.clientTop):a&&(h.x=Ae(a))),{x:l.left+c.scrollLeft-h.x,y:l.top+c.scrollTop-h.y,width:l.width,height:l.height}}function We(t){var e=new Map,i=new Set,n=[];function s(t){i.add(t.name),[].concat(t.requires||[],t.requiresIfExists||[]).forEach((function(t){if(!i.has(t)){var n=e.get(t);n&&s(n)}})),n.push(t)}return t.forEach((function(t){e.set(t.name,t)})),t.forEach((function(t){i.has(t.name)||s(t)})),n}var Be={placement:"bottom",modifiers:[],strategy:"absolute"};function Fe(){for(var t=arguments.length,e=new Array(t),i=0;i<t;i++)e[i]=arguments[i];return!e.some((function(t){return!(t&&"function"==typeof t.getBoundingClientRect)}))}function ze(t){void 0===t&&(t={});var e=t,i=e.defaultModifiers,n=void 0===i?[]:i,s=e.defaultOptions,o=void 0===s?Be:s;return function(t,e,i){void 0===i&&(i=o);var s,r,a={placement:"bottom",orderedModifiers:[],options:Object.assign({},Be,o),modifiersData:{},elements:{reference:t,popper:e},attributes:{},styles:{}},l=[],c=!1,h={state:a,setOptions:function(i){var s="function"==typeof i?i(a.options):i;d(),a.options=Object.assign({},o,a.options,s),a.scrollParents={reference:Ft(t)?Ce(t):t.contextElement?Ce(t.contextElement):[],popper:Ce(e)};var r,c,u=function(t){var e=We(t);return $t.reduce((function(t,i){return t.concat(e.filter((function(t){return t.phase===i})))}),[])}((r=[].concat(n,a.options.modifiers),c=r.reduce((function(t,e){var i=t[e.name];return t[e.name]=i?Object.assign({},i,e,{options:Object.assign({},i.options,e.options),data:Object.assign({},i.data,e.data)}):e,t}),{}),Object.keys(c).map((function(t){return c[t]}))));return a.orderedModifiers=u.filter((function(t){return t.enabled})),a.orderedModifiers.forEach((function(t){var e=t.name,i=t.options,n=void 0===i?{}:i,s=t.effect;if("function"==typeof s){var o=s({state:a,name:e,instance:h,options:n});l.push(o||function(){})}})),h.update()},forceUpdate:function(){if(!c){var t=a.elements,e=t.reference,i=t.popper;if(Fe(e,i)){a.rects={reference:$e(e,oe(i),"fixed"===a.options.strategy),popper:Jt(i)},a.reset=!1,a.placement=a.options.placement,a.orderedModifiers.forEach((function(t){return a.modifiersData[t.name]=Object.assign({},t.data)}));for(var n=0;n<a.orderedModifiers.length;n++)if(!0!==a.reset){var s=a.orderedModifiers[n],o=s.fn,r=s.options,l=void 0===r?{}:r,d=s.name;"function"==typeof o&&(a=o({state:a,options:l,name:d,instance:h})||a)}else a.reset=!1,n=-1}}},update:(s=function(){return new Promise((function(t){h.forceUpdate(),t(a)}))},function(){return r||(r=new Promise((function(t){Promise.resolve().then((function(){r=void 0,t(s())}))}))),r}),destroy:function(){d(),c=!0}};if(!Fe(t,e))return h;function d(){l.forEach((function(t){return t()})),l=[]}return h.setOptions(i).then((function(t){!c&&i.onFirstUpdate&&i.onFirstUpdate(t)})),h}}var qe=ze(),Re=ze({defaultModifiers:[me,Me,pe,Rt]}),Ve=ze({defaultModifiers:[me,Me,pe,Rt,je,Se,He,he,Pe]});const Ke=Object.freeze(Object.defineProperty({__proto__:null,popperGenerator:ze,detectOverflow:Le,createPopperBase:qe,createPopper:Ve,createPopperLite:Re,top:gt,bottom:mt,right:_t,left:bt,auto:vt,basePlacements:yt,start:wt,end:At,clippingParents:Et,viewport:Tt,popper:Ct,reference:Ot,variationPlacements:xt,placements:kt,beforeRead:Lt,read:Dt,afterRead:St,beforeMain:It,main:Nt,afterMain:Pt,beforeWrite:jt,write:Mt,afterWrite:Ht,modifierPhases:$t,applyStyles:Rt,arrow:he,computeStyles:pe,eventListeners:me,flip:Se,hide:Pe,offset:je,popperOffsets:Me,preventOverflow:He},Symbol.toStringTag,{value:"Module"})),Qe="dropdown",Xe="ArrowUp",Ye="ArrowDown",Ue="click.bs.dropdown.data-api",Ge="keydown.bs.dropdown.data-api",Je="show",Ze='[data-bs-toggle="dropdown"]:not(.disabled):not(:disabled)',ti=`${Ze}.show`,ei=".dropdown-menu",ii=p()?"top-end":"top-start",ni=p()?"top-start":"top-end",si=p()?"bottom-end":"bottom-start",oi=p()?"bottom-start":"bottom-end",ri=p()?"left-start":"right-start",ai=p()?"right-start":"left-start",li={autoClose:!0,boundary:"clippingParents",display:"dynamic",offset:[0,2],popperConfig:null,reference:"toggle"},ci={autoClose:"(boolean|string)",boundary:"(string|element)",display:"string",offset:"(array|string|function)",popperConfig:"(null|object|function)",reference:"(string|element|object)"};class hi extends z{constructor(t,e){super(t,e),this._popper=null,this._parent=this._element.parentNode,this._menu=Q.next(this._element,ei)[0]||Q.prev(this._element,ei)[0]||Q.findOne(ei,this._parent),this._inNavbar=this._detectNavbar()}static get Default(){return li}static get DefaultType(){return ci}static get NAME(){return Qe}toggle(){return this._isShown()?this.hide():this.show()}show(){if(l(this._element)||this._isShown())return;const t={relatedTarget:this._element};if(!P.trigger(this._element,"show.bs.dropdown",t).defaultPrevented){if(this._createPopper(),"ontouchstart"in document.documentElement&&!this._parent.closest(".navbar-nav"))for(const t of[].concat(...document.body.children))P.on(t,"mouseover",h);this._element.focus(),this._element.setAttribute("aria-expanded",!0),this._menu.classList.add(Je),this._element.classList.add(Je),P.trigger(this._element,"shown.bs.dropdown",t)}}hide(){if(l(this._element)||!this._isShown())return;const t={relatedTarget:this._element};this._completeHide(t)}dispose(){this._popper&&this._popper.destroy(),super.dispose()}update(){this._inNavbar=this._detectNavbar(),this._popper&&this._popper.update()}_completeHide(t){if(!P.trigger(this._element,"hide.bs.dropdown",t).defaultPrevented){if("ontouchstart"in document.documentElement)for(const t of[].concat(...document.body.children))P.off(t,"mouseover",h);this._popper&&this._popper.destroy(),this._menu.classList.remove(Je),this._element.classList.remove(Je),this._element.setAttribute("aria-expanded","false"),B.removeDataAttribute(this._menu,"popper"),P.trigger(this._element,"hidden.bs.dropdown",t)}}_getConfig(t){if("object"==typeof(t=super._getConfig(t)).reference&&!o(t.reference)&&"function"!=typeof t.reference.getBoundingClientRect)throw new TypeError(`${Qe.toUpperCase()}: Option "reference" provided type "object" without a required "getBoundingClientRect" method.`);return t}_createPopper(){if(void 0===Ke)throw new TypeError("Bootstrap's dropdowns require Popper (https://popper.js.org)");let t=this._element;"parent"===this._config.reference?t=this._parent:o(this._config.reference)?t=r(this._config.reference):"object"==typeof this._config.reference&&(t=this._config.reference);const e=this._getPopperConfig();this._popper=Ve(t,this._menu,e)}_isShown(){return this._menu.classList.contains(Je)}_getPlacement(){const t=this._parent;if(t.classList.contains("dropend"))return ri;if(t.classList.contains("dropstart"))return ai;if(t.classList.contains("dropup-center"))return"top";if(t.classList.contains("dropdown-center"))return"bottom";const e="end"===getComputedStyle(this._menu).getPropertyValue("--bs-position").trim();return t.classList.contains("dropup")?e?ni:ii:e?oi:si}_detectNavbar(){return null!==this._element.closest(".navbar")}_getOffset(){const{offset:t}=this._config;return"string"==typeof t?t.split(",").map((t=>Number.parseInt(t,10))):"function"==typeof t?e=>t(e,this._element):t}_getPopperConfig(){const t={placement:this._getPlacement(),modifiers:[{name:"preventOverflow",options:{boundary:this._config.boundary}},{name:"offset",options:{offset:this._getOffset()}}]};return(this._inNavbar||"static"===this._config.display)&&(B.setDataAttribute(this._menu,"popper","static"),t.modifiers=[{name:"applyStyles",enabled:!1}]),{...t,..."function"==typeof this._config.popperConfig?this._config.popperConfig(t):this._config.popperConfig}}_selectMenuItem({key:t,target:e}){const i=Q.find(".dropdown-menu .dropdown-item:not(.disabled):not(:disabled)",this._menu).filter((t=>a(t)));i.length&&b(i,e,t===Ye,!i.includes(e)).focus()}static jQueryInterface(t){return this.each((function(){const e=hi.getOrCreateInstance(this,t);if("string"==typeof t){if(void 0===e[t])throw new TypeError(`No method named "${t}"`);e[t]()}}))}static clearMenus(t){if(2===t.button||"keyup"===t.type&&"Tab"!==t.key)return;const e=Q.find(ti);for(const i of e){const e=hi.getInstance(i);if(!e||!1===e._config.autoClose)continue;const n=t.composedPath(),s=n.includes(e._menu);if(n.includes(e._element)||"inside"===e._config.autoClose&&!s||"outside"===e._config.autoClose&&s)continue;if(e._menu.contains(t.target)&&("keyup"===t.type&&"Tab"===t.key||/input|select|option|textarea|form/i.test(t.target.tagName)))continue;const o={relatedTarget:e._element};"click"===t.type&&(o.clickEvent=t),e._completeHide(o)}}static dataApiKeydownHandler(t){const e=/input|textarea/i.test(t.target.tagName),i="Escape"===t.key,n=[Xe,Ye].includes(t.key);if(!n&&!i)return;if(e&&!i)return;t.preventDefault();const s=this.matches(Ze)?this:Q.prev(this,Ze)[0]||Q.next(this,Ze)[0]||Q.findOne(Ze,t.delegateTarget.parentNode),o=hi.getOrCreateInstance(s);if(n)return t.stopPropagation(),o.show(),void o._selectMenuItem(t);o._isShown()&&(t.stopPropagation(),o.hide(),s.focus())}}P.on(document,Ge,Ze,hi.dataApiKeydownHandler),P.on(document,Ge,ei,hi.dataApiKeydownHandler),P.on(document,Ue,hi.clearMenus),P.on(document,"keyup.bs.dropdown.data-api",hi.clearMenus),P.on(document,Ue,Ze,(function(t){t.preventDefault(),hi.getOrCreateInstance(this).toggle()})),g(hi);const di=".fixed-top, .fixed-bottom, .is-fixed, .sticky-top",ui=".sticky-top",fi="padding-right",pi="margin-right";class gi{constructor(){this._element=document.body}getWidth(){const t=document.documentElement.clientWidth;return Math.abs(window.innerWidth-t)}hide(){const t=this.getWidth();this._disableOverFlow(),this._setElementAttributes(this._element,fi,(e=>e+t)),this._setElementAttributes(di,fi,(e=>e+t)),this._setElementAttributes(ui,pi,(e=>e-t))}reset(){this._resetElementAttributes(this._element,"overflow"),this._resetElementAttributes(this._element,fi),this._resetElementAttributes(di,fi),this._resetElementAttributes(ui,pi)}isOverflowing(){return this.getWidth()>0}_disableOverFlow(){this._saveInitialAttribute(this._element,"overflow"),this._element.style.overflow="hidden"}_setElementAttributes(t,e,i){const n=this.getWidth();this._applyManipulationCallback(t,(t=>{if(t!==this._element&&window.innerWidth>t.clientWidth+n)return;this._saveInitialAttribute(t,e);const s=window.getComputedStyle(t).getPropertyValue(e);t.style.setProperty(e,`${i(Number.parseFloat(s))}px`)}))}_saveInitialAttribute(t,e){const i=t.style.getPropertyValue(e);i&&B.setDataAttribute(t,e,i)}_resetElementAttributes(t,e){this._applyManipulationCallback(t,(t=>{const i=B.getDataAttribute(t,e);null!==i?(B.removeDataAttribute(t,e),t.style.setProperty(e,i)):t.style.removeProperty(e)}))}_applyManipulationCallback(t,e){if(o(t))e(t);else for(const i of Q.find(t,this._element))e(i)}}const mi="show",_i="mousedown.bs.backdrop",bi={className:"modal-backdrop",clickCallback:null,isAnimated:!1,isVisible:!0,rootElement:"body"},vi={className:"string",clickCallback:"(function|null)",isAnimated:"boolean",isVisible:"boolean",rootElement:"(element|string)"};class yi extends F{constructor(t){super(),this._config=this._getConfig(t),this._isAppended=!1,this._element=null}static get Default(){return bi}static get DefaultType(){return vi}static get NAME(){return"backdrop"}show(t){if(!this._config.isVisible)return void m(t);this._append();const e=this._getElement();this._config.isAnimated&&d(e),e.classList.add(mi),this._emulateAnimation((()=>{m(t)}))}hide(t){this._config.isVisible?(this._getElement().classList.remove(mi),this._emulateAnimation((()=>{this.dispose(),m(t)}))):m(t)}dispose(){this._isAppended&&(P.off(this._element,_i),this._element.remove(),this._isAppended=!1)}_getElement(){if(!this._element){const t=document.createElement("div");t.className=this._config.className,this._config.isAnimated&&t.classList.add("fade"),this._element=t}return this._element}_configAfterMerge(t){return t.rootElement=r(t.rootElement),t}_append(){if(this._isAppended)return;const t=this._getElement();this._config.rootElement.append(t),P.on(t,_i,(()=>{m(this._config.clickCallback)})),this._isAppended=!0}_emulateAnimation(t){_(t,this._getElement(),this._config.isAnimated)}}const wi=".bs.focustrap",Ai="backward",Ei={autofocus:!0,trapElement:null},Ti={autofocus:"boolean",trapElement:"element"};class Ci extends F{constructor(t){super(),this._config=this._getConfig(t),this._isActive=!1,this._lastTabNavDirection=null}static get Default(){return Ei}static get DefaultType(){return Ti}static get NAME(){return"focustrap"}activate(){this._isActive||(this._config.autofocus&&this._config.trapElement.focus(),P.off(document,wi),P.on(document,"focusin.bs.focustrap",(t=>this._handleFocusin(t))),P.on(document,"keydown.tab.bs.focustrap",(t=>this._handleKeydown(t))),this._isActive=!0)}deactivate(){this._isActive&&(this._isActive=!1,P.off(document,wi))}_handleFocusin(t){const{trapElement:e}=this._config;if(t.target===document||t.target===e||e.contains(t.target))return;const i=Q.focusableChildren(e);0===i.length?e.focus():this._lastTabNavDirection===Ai?i[i.length-1].focus():i[0].focus()}_handleKeydown(t){"Tab"===t.key&&(this._lastTabNavDirection=t.shiftKey?Ai:"forward")}}const Oi="hidden.bs.modal",xi="show.bs.modal",ki="modal-open",Li="show",Di="modal-static",Si={backdrop:!0,focus:!0,keyboard:!0},Ii={backdrop:"(boolean|string)",focus:"boolean",keyboard:"boolean"};class Ni extends z{constructor(t,e){super(t,e),this._dialog=Q.findOne(".modal-dialog",this._element),this._backdrop=this._initializeBackDrop(),this._focustrap=this._initializeFocusTrap(),this._isShown=!1,this._isTransitioning=!1,this._scrollBar=new gi,this._addEventListeners()}static get Default(){return Si}static get DefaultType(){return Ii}static get NAME(){return"modal"}toggle(t){return this._isShown?this.hide():this.show(t)}show(t){this._isShown||this._isTransitioning||P.trigger(this._element,xi,{relatedTarget:t}).defaultPrevented||(this._isShown=!0,this._isTransitioning=!0,this._scrollBar.hide(),document.body.classList.add(ki),this._adjustDialog(),this._backdrop.show((()=>this._showElement(t))))}hide(){this._isShown&&!this._isTransitioning&&(P.trigger(this._element,"hide.bs.modal").defaultPrevented||(this._isShown=!1,this._isTransitioning=!0,this._focustrap.deactivate(),this._element.classList.remove(Li),this._queueCallback((()=>this._hideModal()),this._element,this._isAnimated())))}dispose(){for(const t of[window,this._dialog])P.off(t,".bs.modal");this._backdrop.dispose(),this._focustrap.deactivate(),super.dispose()}handleUpdate(){this._adjustDialog()}_initializeBackDrop(){return new yi({isVisible:Boolean(this._config.backdrop),isAnimated:this._isAnimated()})}_initializeFocusTrap(){return new Ci({trapElement:this._element})}_showElement(t){document.body.contains(this._element)||document.body.append(this._element),this._element.style.display="block",this._element.removeAttribute("aria-hidden"),this._element.setAttribute("aria-modal",!0),this._element.setAttribute("role","dialog"),this._element.scrollTop=0;const e=Q.findOne(".modal-body",this._dialog);e&&(e.scrollTop=0),d(this._element),this._element.classList.add(Li),this._queueCallback((()=>{this._config.focus&&this._focustrap.activate(),this._isTransitioning=!1,P.trigger(this._element,"shown.bs.modal",{relatedTarget:t})}),this._dialog,this._isAnimated())}_addEventListeners(){P.on(this._element,"keydown.dismiss.bs.modal",(t=>{if("Escape"===t.key)return this._config.keyboard?(t.preventDefault(),void this.hide()):void this._triggerBackdropTransition()})),P.on(window,"resize.bs.modal",(()=>{this._isShown&&!this._isTransitioning&&this._adjustDialog()})),P.on(this._element,"mousedown.dismiss.bs.modal",(t=>{P.one(this._element,"click.dismiss.bs.modal",(e=>{this._element===t.target&&this._element===e.target&&("static"!==this._config.backdrop?this._config.backdrop&&this.hide():this._triggerBackdropTransition())}))}))}_hideModal(){this._element.style.display="none",this._element.setAttribute("aria-hidden",!0),this._element.removeAttribute("aria-modal"),this._element.removeAttribute("role"),this._isTransitioning=!1,this._backdrop.hide((()=>{document.body.classList.remove(ki),this._resetAdjustments(),this._scrollBar.reset(),P.trigger(this._element,Oi)}))}_isAnimated(){return this._element.classList.contains("fade")}_triggerBackdropTransition(){if(P.trigger(this._element,"hidePrevented.bs.modal").defaultPrevented)return;const t=this._element.scrollHeight>document.documentElement.clientHeight,e=this._element.style.overflowY;"hidden"===e||this._element.classList.contains(Di)||(t||(this._element.style.overflowY="hidden"),this._element.classList.add(Di),this._queueCallback((()=>{this._element.classList.remove(Di),this._queueCallback((()=>{this._element.style.overflowY=e}),this._dialog)}),this._dialog),this._element.focus())}_adjustDialog(){const t=this._element.scrollHeight>document.documentElement.clientHeight,e=this._scrollBar.getWidth(),i=e>0;if(i&&!t){const t=p()?"paddingLeft":"paddingRight";this._element.style[t]=`${e}px`}if(!i&&t){const t=p()?"paddingRight":"paddingLeft";this._element.style[t]=`${e}px`}}_resetAdjustments(){this._element.style.paddingLeft="",this._element.style.paddingRight=""}static jQueryInterface(t,e){return this.each((function(){const i=Ni.getOrCreateInstance(this,t);if("string"==typeof t){if(void 0===i[t])throw new TypeError(`No method named "${t}"`);i[t](e)}}))}}P.on(document,"click.bs.modal.data-api",'[data-bs-toggle="modal"]',(function(t){const e=n(this);["A","AREA"].includes(this.tagName)&&t.preventDefault(),P.one(e,xi,(t=>{t.defaultPrevented||P.one(e,Oi,(()=>{a(this)&&this.focus()}))}));const i=Q.findOne(".modal.show");i&&Ni.getInstance(i).hide(),Ni.getOrCreateInstance(e).toggle(this)})),q(Ni),g(Ni);const Pi="show",ji="showing",Mi="hiding",Hi=".offcanvas.show",$i="hidePrevented.bs.offcanvas",Wi="hidden.bs.offcanvas",Bi={backdrop:!0,keyboard:!0,scroll:!1},Fi={backdrop:"(boolean|string)",keyboard:"boolean",scroll:"boolean"};class zi extends z{constructor(t,e){super(t,e),this._isShown=!1,this._backdrop=this._initializeBackDrop(),this._focustrap=this._initializeFocusTrap(),this._addEventListeners()}static get Default(){return Bi}static get DefaultType(){return Fi}static get NAME(){return"offcanvas"}toggle(t){return this._isShown?this.hide():this.show(t)}show(t){this._isShown||P.trigger(this._element,"show.bs.offcanvas",{relatedTarget:t}).defaultPrevented||(this._isShown=!0,this._backdrop.show(),this._config.scroll||(new gi).hide(),this._element.setAttribute("aria-modal",!0),this._element.setAttribute("role","dialog"),this._element.classList.add(ji),this._queueCallback((()=>{this._config.scroll&&!this._config.backdrop||this._focustrap.activate(),this._element.classList.add(Pi),this._element.classList.remove(ji),P.trigger(this._element,"shown.bs.offcanvas",{relatedTarget:t})}),this._element,!0))}hide(){this._isShown&&(P.trigger(this._element,"hide.bs.offcanvas").defaultPrevented||(this._focustrap.deactivate(),this._element.blur(),this._isShown=!1,this._element.classList.add(Mi),this._backdrop.hide(),this._queueCallback((()=>{this._element.classList.remove(Pi,Mi),this._element.removeAttribute("aria-modal"),this._element.removeAttribute("role"),this._config.scroll||(new gi).reset(),P.trigger(this._element,Wi)}),this._element,!0)))}dispose(){this._backdrop.dispose(),this._focustrap.deactivate(),super.dispose()}_initializeBackDrop(){const t=Boolean(this._config.backdrop);return new yi({className:"offcanvas-backdrop",isVisible:t,isAnimated:!0,rootElement:this._element.parentNode,clickCallback:t?()=>{"static"!==this._config.backdrop?this.hide():P.trigger(this._element,$i)}:null})}_initializeFocusTrap(){return new Ci({trapElement:this._element})}_addEventListeners(){P.on(this._element,"keydown.dismiss.bs.offcanvas",(t=>{"Escape"===t.key&&(this._config.keyboard?this.hide():P.trigger(this._element,$i))}))}static jQueryInterface(t){return this.each((function(){const e=zi.getOrCreateInstance(this,t);if("string"==typeof t){if(void 0===e[t]||t.startsWith("_")||"constructor"===t)throw new TypeError(`No method named "${t}"`);e[t](this)}}))}}P.on(document,"click.bs.offcanvas.data-api",'[data-bs-toggle="offcanvas"]',(function(t){const e=n(this);if(["A","AREA"].includes(this.tagName)&&t.preventDefault(),l(this))return;P.one(e,Wi,(()=>{a(this)&&this.focus()}));const i=Q.findOne(Hi);i&&i!==e&&zi.getInstance(i).hide(),zi.getOrCreateInstance(e).toggle(this)})),P.on(window,"load.bs.offcanvas.data-api",(()=>{for(const t of Q.find(Hi))zi.getOrCreateInstance(t).show()})),P.on(window,"resize.bs.offcanvas",(()=>{for(const t of Q.find("[aria-modal][class*=show][class*=offcanvas-]"))"fixed"!==getComputedStyle(t).position&&zi.getOrCreateInstance(t).hide()})),q(zi),g(zi);const qi=new Set(["background","cite","href","itemtype","longdesc","poster","src","xlink:href"]),Ri=/^(?:(?:https?|mailto|ftp|tel|file|sms):|[^#&/:?]*(?:[#/?]|$))/i,Vi=/^data:(?:image\/(?:bmp|gif|jpeg|jpg|png|tiff|webp)|video\/(?:mpeg|mp4|ogg|webm)|audio\/(?:mp3|oga|ogg|opus));base64,[\d+/a-z]+=*$/i,Ki=(t,e)=>{const i=t.nodeName.toLowerCase();return e.includes(i)?!qi.has(i)||Boolean(Ri.test(t.nodeValue)||Vi.test(t.nodeValue)):e.filter((t=>t instanceof RegExp)).some((t=>t.test(i)))},Qi={"*":["class","dir","id","lang","role",/^aria-[\w-]*$/i],a:["target","href","title","rel"],area:[],b:[],br:[],col:[],code:[],div:[],em:[],hr:[],h1:[],h2:[],h3:[],h4:[],h5:[],h6:[],i:[],img:["src","srcset","alt","title","width","height"],li:[],ol:[],p:[],pre:[],s:[],small:[],span:[],sub:[],sup:[],strong:[],u:[],ul:[]},Xi={allowList:Qi,content:{},extraClass:"",html:!1,sanitize:!0,sanitizeFn:null,template:"<div></div>"},Yi={allowList:"object",content:"object",extraClass:"(string|function)",html:"boolean",sanitize:"boolean",sanitizeFn:"(null|function)",template:"string"},Ui={entry:"(string|element|function|null)",selector:"(string|element)"};class Gi extends F{constructor(t){super(),this._config=this._getConfig(t)}static get Default(){return Xi}static get DefaultType(){return Yi}static get NAME(){return"TemplateFactory"}getContent(){return Object.values(this._config.content).map((t=>this._resolvePossibleFunction(t))).filter(Boolean)}hasContent(){return this.getContent().length>0}changeContent(t){return this._checkContent(t),this._config.content={...this._config.content,...t},this}toHtml(){const t=document.createElement("div");t.innerHTML=this._maybeSanitize(this._config.template);for(const[e,i]of Object.entries(this._config.content))this._setContent(t,i,e);const e=t.children[0],i=this._resolvePossibleFunction(this._config.extraClass);return i&&e.classList.add(...i.split(" ")),e}_typeCheckConfig(t){super._typeCheckConfig(t),this._checkContent(t.content)}_checkContent(t){for(const[e,i]of Object.entries(t))super._typeCheckConfig({selector:e,entry:i},Ui)}_setContent(t,e,i){const n=Q.findOne(i,t);n&&((e=this._resolvePossibleFunction(e))?o(e)?this._putElementInTemplate(r(e),n):this._config.html?n.innerHTML=this._maybeSanitize(e):n.textContent=e:n.remove())}_maybeSanitize(t){return this._config.sanitize?function(t,e,i){if(!t.length)return t;if(i&&"function"==typeof i)return i(t);const n=(new window.DOMParser).parseFromString(t,"text/html"),s=[].concat(...n.body.querySelectorAll("*"));for(const t of s){const i=t.nodeName.toLowerCase();if(!Object.keys(e).includes(i)){t.remove();continue}const n=[].concat(...t.attributes),s=[].concat(e["*"]||[],e[i]||[]);for(const e of n)Ki(e,s)||t.removeAttribute(e.nodeName)}return n.body.innerHTML}(t,this._config.allowList,this._config.sanitizeFn):t}_resolvePossibleFunction(t){return"function"==typeof t?t(this):t}_putElementInTemplate(t,e){if(this._config.html)return e.innerHTML="",void e.append(t);e.textContent=t.textContent}}const Ji=new Set(["sanitize","allowList","sanitizeFn"]),Zi="fade",tn="show",en=".modal",nn="hide.bs.modal",sn="hover",on="focus",rn={AUTO:"auto",TOP:"top",RIGHT:p()?"left":"right",BOTTOM:"bottom",LEFT:p()?"right":"left"},an={allowList:Qi,animation:!0,boundary:"clippingParents",container:!1,customClass:"",delay:0,fallbackPlacements:["top","right","bottom","left"],html:!1,offset:[0,0],placement:"top",popperConfig:null,sanitize:!0,sanitizeFn:null,selector:!1,template:'<div class="tooltip" role="tooltip"><div class="tooltip-arrow"></div><div class="tooltip-inner"></div></div>',title:"",trigger:"hover focus"},ln={allowList:"object",animation:"boolean",boundary:"(string|element)",container:"(string|element|boolean)",customClass:"(string|function)",delay:"(number|object)",fallbackPlacements:"array",html:"boolean",offset:"(array|string|function)",placement:"(string|function)",popperConfig:"(null|object|function)",sanitize:"boolean",sanitizeFn:"(null|function)",selector:"(string|boolean)",template:"string",title:"(string|element|function)",trigger:"string"};class cn extends z{constructor(t,e){if(void 0===Ke)throw new TypeError("Bootstrap's tooltips require Popper (https://popper.js.org)");super(t,e),this._isEnabled=!0,this._timeout=0,this._isHovered=null,this._activeTrigger={},this._popper=null,this._templateFactory=null,this._newContent=null,this.tip=null,this._setListeners(),this._config.selector||this._fixTitle()}static get Default(){return an}static get DefaultType(){return ln}static get NAME(){return"tooltip"}enable(){this._isEnabled=!0}disable(){this._isEnabled=!1}toggleEnabled(){this._isEnabled=!this._isEnabled}toggle(){this._isEnabled&&(this._activeTrigger.click=!this._activeTrigger.click,this._isShown()?this._leave():this._enter())}dispose(){clearTimeout(this._timeout),P.off(this._element.closest(en),nn,this._hideModalHandler),this.tip&&this.tip.remove(),this._element.getAttribute("data-bs-original-title")&&this._element.setAttribute("title",this._element.getAttribute("data-bs-original-title")),this._disposePopper(),super.dispose()}show(){if("none"===this._element.style.display)throw new Error("Please use show on visible elements");if(!this._isWithContent()||!this._isEnabled)return;const t=P.trigger(this._element,this.constructor.eventName("show")),e=(c(this._element)||this._element.ownerDocument.documentElement).contains(this._element);if(t.defaultPrevented||!e)return;this.tip&&(this.tip.remove(),this.tip=null);const i=this._getTipElement();this._element.setAttribute("aria-describedby",i.getAttribute("id"));const{container:n}=this._config;if(this._element.ownerDocument.documentElement.contains(this.tip)||(n.append(i),P.trigger(this._element,this.constructor.eventName("inserted"))),this._popper?this._popper.update():this._popper=this._createPopper(i),i.classList.add(tn),"ontouchstart"in document.documentElement)for(const t of[].concat(...document.body.children))P.on(t,"mouseover",h);this._queueCallback((()=>{P.trigger(this._element,this.constructor.eventName("shown")),!1===this._isHovered&&this._leave(),this._isHovered=!1}),this.tip,this._isAnimated())}hide(){if(!this._isShown())return;if(P.trigger(this._element,this.constructor.eventName("hide")).defaultPrevented)return;const t=this._getTipElement();if(t.classList.remove(tn),"ontouchstart"in document.documentElement)for(const t of[].concat(...document.body.children))P.off(t,"mouseover",h);this._activeTrigger.click=!1,this._activeTrigger.focus=!1,this._activeTrigger.hover=!1,this._isHovered=null,this._queueCallback((()=>{this._isWithActiveTrigger()||(this._isHovered||t.remove(),this._element.removeAttribute("aria-describedby"),P.trigger(this._element,this.constructor.eventName("hidden")),this._disposePopper())}),this.tip,this._isAnimated())}update(){this._popper&&this._popper.update()}_isWithContent(){return Boolean(this._getTitle())}_getTipElement(){return this.tip||(this.tip=this._createTipElement(this._newContent||this._getContentForTemplate())),this.tip}_createTipElement(t){const e=this._getTemplateFactory(t).toHtml();if(!e)return null;e.classList.remove(Zi,tn),e.classList.add(`bs-${this.constructor.NAME}-auto`);const i=(t=>{do{t+=Math.floor(1e6*Math.random())}while(document.getElementById(t));return t})(this.constructor.NAME).toString();return e.setAttribute("id",i),this._isAnimated()&&e.classList.add(Zi),e}setContent(t){this._newContent=t,this._isShown()&&(this._disposePopper(),this.show())}_getTemplateFactory(t){return this._templateFactory?this._templateFactory.changeContent(t):this._templateFactory=new Gi({...this._config,content:t,extraClass:this._resolvePossibleFunction(this._config.customClass)}),this._templateFactory}_getContentForTemplate(){return{".tooltip-inner":this._getTitle()}}_getTitle(){return this._resolvePossibleFunction(this._config.title)||this._element.getAttribute("data-bs-original-title")}_initializeOnDelegatedTarget(t){return this.constructor.getOrCreateInstance(t.delegateTarget,this._getDelegateConfig())}_isAnimated(){return this._config.animation||this.tip&&this.tip.classList.contains(Zi)}_isShown(){return this.tip&&this.tip.classList.contains(tn)}_createPopper(t){const e="function"==typeof this._config.placement?this._config.placement.call(this,t,this._element):this._config.placement,i=rn[e.toUpperCase()];return Ve(this._element,t,this._getPopperConfig(i))}_getOffset(){const{offset:t}=this._config;return"string"==typeof t?t.split(",").map((t=>Number.parseInt(t,10))):"function"==typeof t?e=>t(e,this._element):t}_resolvePossibleFunction(t){return"function"==typeof t?t.call(this._element):t}_getPopperConfig(t){const e={placement:t,modifiers:[{name:"flip",options:{fallbackPlacements:this._config.fallbackPlacements}},{name:"offset",options:{offset:this._getOffset()}},{name:"preventOverflow",options:{boundary:this._config.boundary}},{name:"arrow",options:{element:`.${this.constructor.NAME}-arrow`}},{name:"preSetPlacement",enabled:!0,phase:"beforeMain",fn:t=>{this._getTipElement().setAttribute("data-popper-placement",t.state.placement)}}]};return{...e,..."function"==typeof this._config.popperConfig?this._config.popperConfig(e):this._config.popperConfig}}_setListeners(){const t=this._config.trigger.split(" ");for(const e of t)if("click"===e)P.on(this._element,this.constructor.eventName("click"),this._config.selector,(t=>{this._initializeOnDelegatedTarget(t).toggle()}));else if("manual"!==e){const t=e===sn?this.constructor.eventName("mouseenter"):this.constructor.eventName("focusin"),i=e===sn?this.constructor.eventName("mouseleave"):this.constructor.eventName("focusout");P.on(this._element,t,this._config.selector,(t=>{const e=this._initializeOnDelegatedTarget(t);e._activeTrigger["focusin"===t.type?on:sn]=!0,e._enter()})),P.on(this._element,i,this._config.selector,(t=>{const e=this._initializeOnDelegatedTarget(t);e._activeTrigger["focusout"===t.type?on:sn]=e._element.contains(t.relatedTarget),e._leave()}))}this._hideModalHandler=()=>{this._element&&this.hide()},P.on(this._element.closest(en),nn,this._hideModalHandler)}_fixTitle(){const t=this._element.getAttribute("title");t&&(this._element.getAttribute("aria-label")||this._element.textContent.trim()||this._element.setAttribute("aria-label",t),this._element.setAttribute("data-bs-original-title",t),this._element.removeAttribute("title"))}_enter(){this._isShown()||this._isHovered?this._isHovered=!0:(this._isHovered=!0,this._setTimeout((()=>{this._isHovered&&this.show()}),this._config.delay.show))}_leave(){this._isWithActiveTrigger()||(this._isHovered=!1,this._setTimeout((()=>{this._isHovered||this.hide()}),this._config.delay.hide))}_setTimeout(t,e){clearTimeout(this._timeout),this._timeout=setTimeout(t,e)}_isWithActiveTrigger(){return Object.values(this._activeTrigger).includes(!0)}_getConfig(t){const e=B.getDataAttributes(this._element);for(const t of Object.keys(e))Ji.has(t)&&delete e[t];return t={...e,..."object"==typeof t&&t?t:{}},t=this._mergeConfigObj(t),t=this._configAfterMerge(t),this._typeCheckConfig(t),t}_configAfterMerge(t){return t.container=!1===t.container?document.body:r(t.container),"number"==typeof t.delay&&(t.delay={show:t.delay,hide:t.delay}),"number"==typeof t.title&&(t.title=t.title.toString()),"number"==typeof t.content&&(t.content=t.content.toString()),t}_getDelegateConfig(){const t={};for(const e in this._config)this.constructor.Default[e]!==this._config[e]&&(t[e]=this._config[e]);return t.selector=!1,t.trigger="manual",t}_disposePopper(){this._popper&&(this._popper.destroy(),this._popper=null)}static jQueryInterface(t){return this.each((function(){const e=cn.getOrCreateInstance(this,t);if("string"==typeof t){if(void 0===e[t])throw new TypeError(`No method named "${t}"`);e[t]()}}))}}g(cn);const hn={...cn.Default,content:"",offset:[0,8],placement:"right",template:'<div class="popover" role="tooltip"><div class="popover-arrow"></div><h3 class="popover-header"></h3><div class="popover-body"></div></div>',trigger:"click"},dn={...cn.DefaultType,content:"(null|string|element|function)"};class un extends cn{static get Default(){return hn}static get DefaultType(){return dn}static get NAME(){return"popover"}_isWithContent(){return this._getTitle()||this._getContent()}_getContentForTemplate(){return{".popover-header":this._getTitle(),".popover-body":this._getContent()}}_getContent(){return this._resolvePossibleFunction(this._config.content)}static jQueryInterface(t){return this.each((function(){const e=un.getOrCreateInstance(this,t);if("string"==typeof t){if(void 0===e[t])throw new TypeError(`No method named "${t}"`);e[t]()}}))}}g(un);const fn="click.bs.scrollspy",pn="active",gn="[href]",mn={offset:null,rootMargin:"0px 0px -25%",smoothScroll:!1,target:null,threshold:[.1,.5,1]},_n={offset:"(number|null)",rootMargin:"string",smoothScroll:"boolean",target:"element",threshold:"array"};class bn extends z{constructor(t,e){super(t,e),this._targetLinks=new Map,this._observableSections=new Map,this._rootElement="visible"===getComputedStyle(this._element).overflowY?null:this._element,this._activeTarget=null,this._observer=null,this._previousScrollData={visibleEntryTop:0,parentScrollTop:0},this.refresh()}static get Default(){return mn}static get DefaultType(){return _n}static get NAME(){return"scrollspy"}refresh(){this._initializeTargetsAndObservables(),this._maybeEnableSmoothScroll(),this._observer?this._observer.disconnect():this._observer=this._getNewObserver();for(const t of this._observableSections.values())this._observer.observe(t)}dispose(){this._observer.disconnect(),super.dispose()}_configAfterMerge(t){return t.target=r(t.target)||document.body,t.rootMargin=t.offset?`${t.offset}px 0px -30%`:t.rootMargin,"string"==typeof t.threshold&&(t.threshold=t.threshold.split(",").map((t=>Number.parseFloat(t)))),t}_maybeEnableSmoothScroll(){this._config.smoothScroll&&(P.off(this._config.target,fn),P.on(this._config.target,fn,gn,(t=>{const e=this._observableSections.get(t.target.hash);if(e){t.preventDefault();const i=this._rootElement||window,n=e.offsetTop-this._element.offsetTop;if(i.scrollTo)return void i.scrollTo({top:n,behavior:"smooth"});i.scrollTop=n}})))}_getNewObserver(){const t={root:this._rootElement,threshold:this._config.threshold,rootMargin:this._config.rootMargin};return new IntersectionObserver((t=>this._observerCallback(t)),t)}_observerCallback(t){const e=t=>this._targetLinks.get(`#${t.target.id}`),i=t=>{this._previousScrollData.visibleEntryTop=t.target.offsetTop,this._process(e(t))},n=(this._rootElement||document.documentElement).scrollTop,s=n>=this._previousScrollData.parentScrollTop;this._previousScrollData.parentScrollTop=n;for(const o of t){if(!o.isIntersecting){this._activeTarget=null,this._clearActiveClass(e(o));continue}const t=o.target.offsetTop>=this._previousScrollData.visibleEntryTop;if(s&&t){if(i(o),!n)return}else s||t||i(o)}}_initializeTargetsAndObservables(){this._targetLinks=new Map,this._observableSections=new Map;const t=Q.find(gn,this._config.target);for(const e of t){if(!e.hash||l(e))continue;const t=Q.findOne(e.hash,this._element);a(t)&&(this._targetLinks.set(e.hash,e),this._observableSections.set(e.hash,t))}}_process(t){this._activeTarget!==t&&(this._clearActiveClass(this._config.target),this._activeTarget=t,t.classList.add(pn),this._activateParents(t),P.trigger(this._element,"activate.bs.scrollspy",{relatedTarget:t}))}_activateParents(t){if(t.classList.contains("dropdown-item"))Q.findOne(".dropdown-toggle",t.closest(".dropdown")).classList.add(pn);else for(const e of Q.parents(t,".nav, .list-group"))for(const t of Q.prev(e,".nav-link, .nav-item > .nav-link, .list-group-item"))t.classList.add(pn)}_clearActiveClass(t){t.classList.remove(pn);const e=Q.find("[href].active",t);for(const t of e)t.classList.remove(pn)}static jQueryInterface(t){return this.each((function(){const e=bn.getOrCreateInstance(this,t);if("string"==typeof t){if(void 0===e[t]||t.startsWith("_")||"constructor"===t)throw new TypeError(`No method named "${t}"`);e[t]()}}))}}P.on(window,"load.bs.scrollspy.data-api",(()=>{for(const t of Q.find('[data-bs-spy="scroll"]'))bn.getOrCreateInstance(t)})),g(bn);const vn="ArrowLeft",yn="ArrowRight",wn="ArrowUp",An="ArrowDown",En="active",Tn="fade",Cn="show",On='[data-bs-toggle="tab"], [data-bs-toggle="pill"], [data-bs-toggle="list"]',xn=`.nav-link:not(.dropdown-toggle), .list-group-item:not(.dropdown-toggle), [role="tab"]:not(.dropdown-toggle), ${On}`;class kn extends z{constructor(t){super(t),this._parent=this._element.closest('.list-group, .nav, [role="tablist"]'),this._parent&&(this._setInitialAttributes(this._parent,this._getChildren()),P.on(this._element,"keydown.bs.tab",(t=>this._keydown(t))))}static get NAME(){return"tab"}show(){const t=this._element;if(this._elemIsActive(t))return;const e=this._getActiveElem(),i=e?P.trigger(e,"hide.bs.tab",{relatedTarget:t}):null;P.trigger(t,"show.bs.tab",{relatedTarget:e}).defaultPrevented||i&&i.defaultPrevented||(this._deactivate(e,t),this._activate(t,e))}_activate(t,e){t&&(t.classList.add(En),this._activate(n(t)),this._queueCallback((()=>{"tab"===t.getAttribute("role")?(t.removeAttribute("tabindex"),t.setAttribute("aria-selected",!0),this._toggleDropDown(t,!0),P.trigger(t,"shown.bs.tab",{relatedTarget:e})):t.classList.add(Cn)}),t,t.classList.contains(Tn)))}_deactivate(t,e){t&&(t.classList.remove(En),t.blur(),this._deactivate(n(t)),this._queueCallback((()=>{"tab"===t.getAttribute("role")?(t.setAttribute("aria-selected",!1),t.setAttribute("tabindex","-1"),this._toggleDropDown(t,!1),P.trigger(t,"hidden.bs.tab",{relatedTarget:e})):t.classList.remove(Cn)}),t,t.classList.contains(Tn)))}_keydown(t){if(![vn,yn,wn,An].includes(t.key))return;t.stopPropagation(),t.preventDefault();const e=[yn,An].includes(t.key),i=b(this._getChildren().filter((t=>!l(t))),t.target,e,!0);i&&(i.focus({preventScroll:!0}),kn.getOrCreateInstance(i).show())}_getChildren(){return Q.find(xn,this._parent)}_getActiveElem(){return this._getChildren().find((t=>this._elemIsActive(t)))||null}_setInitialAttributes(t,e){this._setAttributeIfNotExists(t,"role","tablist");for(const t of e)this._setInitialAttributesOnChild(t)}_setInitialAttributesOnChild(t){t=this._getInnerElement(t);const e=this._elemIsActive(t),i=this._getOuterElement(t);t.setAttribute("aria-selected",e),i!==t&&this._setAttributeIfNotExists(i,"role","presentation"),e||t.setAttribute("tabindex","-1"),this._setAttributeIfNotExists(t,"role","tab"),this._setInitialAttributesOnTargetPanel(t)}_setInitialAttributesOnTargetPanel(t){const e=n(t);e&&(this._setAttributeIfNotExists(e,"role","tabpanel"),t.id&&this._setAttributeIfNotExists(e,"aria-labelledby",`#${t.id}`))}_toggleDropDown(t,e){const i=this._getOuterElement(t);if(!i.classList.contains("dropdown"))return;const n=(t,n)=>{const s=Q.findOne(t,i);s&&s.classList.toggle(n,e)};n(".dropdown-toggle",En),n(".dropdown-menu",Cn),i.setAttribute("aria-expanded",e)}_setAttributeIfNotExists(t,e,i){t.hasAttribute(e)||t.setAttribute(e,i)}_elemIsActive(t){return t.classList.contains(En)}_getInnerElement(t){return t.matches(xn)?t:Q.findOne(xn,t)}_getOuterElement(t){return t.closest(".nav-item, .list-group-item")||t}static jQueryInterface(t){return this.each((function(){const e=kn.getOrCreateInstance(this);if("string"==typeof t){if(void 0===e[t]||t.startsWith("_")||"constructor"===t)throw new TypeError(`No method named "${t}"`);e[t]()}}))}}P.on(document,"click.bs.tab",On,(function(t){["A","AREA"].includes(this.tagName)&&t.preventDefault(),l(this)||kn.getOrCreateInstance(this).show()})),P.on(window,"load.bs.tab",(()=>{for(const t of Q.find('.active[data-bs-toggle="tab"], .active[data-bs-toggle="pill"], .active[data-bs-toggle="list"]'))kn.getOrCreateInstance(t)})),g(kn);const Ln="hide",Dn="show",Sn="showing",In={animation:"boolean",autohide:"boolean",delay:"number"},Nn={animation:!0,autohide:!0,delay:5e3};class Pn extends z{constructor(t,e){super(t,e),this._timeout=null,this._hasMouseInteraction=!1,this._hasKeyboardInteraction=!1,this._setListeners()}static get Default(){return Nn}static get DefaultType(){return In}static get NAME(){return"toast"}show(){P.trigger(this._element,"show.bs.toast").defaultPrevented||(this._clearTimeout(),this._config.animation&&this._element.classList.add("fade"),this._element.classList.remove(Ln),d(this._element),this._element.classList.add(Dn,Sn),this._queueCallback((()=>{this._element.classList.remove(Sn),P.trigger(this._element,"shown.bs.toast"),this._maybeScheduleHide()}),this._element,this._config.animation))}hide(){this.isShown()&&(P.trigger(this._element,"hide.bs.toast").defaultPrevented||(this._element.classList.add(Sn),this._queueCallback((()=>{this._element.classList.add(Ln),this._element.classList.remove(Sn,Dn),P.trigger(this._element,"hidden.bs.toast")}),this._element,this._config.animation)))}dispose(){this._clearTimeout(),this.isShown()&&this._element.classList.remove(Dn),super.dispose()}isShown(){return this._element.classList.contains(Dn)}_maybeScheduleHide(){this._config.autohide&&(this._hasMouseInteraction||this._hasKeyboardInteraction||(this._timeout=setTimeout((()=>{this.hide()}),this._config.delay)))}_onInteraction(t,e){switch(t.type){case"mouseover":case"mouseout":this._hasMouseInteraction=e;break;case"focusin":case"focusout":this._hasKeyboardInteraction=e}if(e)return void this._clearTimeout();const i=t.relatedTarget;this._element===i||this._element.contains(i)||this._maybeScheduleHide()}_setListeners(){P.on(this._element,"mouseover.bs.toast",(t=>this._onInteraction(t,!0))),P.on(this._element,"mouseout.bs.toast",(t=>this._onInteraction(t,!1))),P.on(this._element,"focusin.bs.toast",(t=>this._onInteraction(t,!0))),P.on(this._element,"focusout.bs.toast",(t=>this._onInteraction(t,!1)))}_clearTimeout(){clearTimeout(this._timeout),this._timeout=null}static jQueryInterface(t){return this.each((function(){const e=Pn.getOrCreateInstance(this,t);if("string"==typeof t){if(void 0===e[t])throw new TypeError(`No method named "${t}"`);e[t](this)}}))}}return q(Pn),g(Pn),{Alert:R,Button:K,Carousel:at,Collapse:pt,Dropdown:hi,Modal:Ni,Offcanvas:zi,Popover:un,ScrollSpy:bn,Tab:kn,Toast:Pn,Tooltip:cn}}));
+//# sourceMappingURL=bootstrap.bundle.min.js.map
\ No newline at end of file
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===================================================================
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   + application/octet-stream

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===================================================================
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___________________________________________________________________
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   + application/octet-stream

Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/rematch2/R/rematch2
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/rematch2/R/rematch2	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/rematch2/R/rematch2	(revision 3761)
@@ -0,0 +1,27 @@
+#  File share/R/nspackloader.R
+#  Part of the R package, https://www.R-project.org
+#
+#  Copyright (C) 1995-2012 The R Core Team
+#
+#  This program is free software; you can redistribute it and/or modify
+#  it under the terms of the GNU General Public License as published by
+#  the Free Software Foundation; either version 2 of the License, or
+#  (at your option) any later version.
+#
+#  This program is distributed in the hope that it will be useful,
+#  but WITHOUT ANY WARRANTY; without even the implied warranty of
+#  MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
+#  GNU General Public License for more details.
+#
+#  A copy of the GNU General Public License is available at
+#  https://www.r-project.org/Licenses/
+
+local({
+    info <- loadingNamespaceInfo()
+    pkg <- info$pkgname
+    ns <- .getNamespace(as.name(pkg))
+    if (is.null(ns))
+        stop("cannot find namespace environment for ", pkg, domain = NA);
+    dbbase <- file.path(info$libname, pkg, "R", pkg)
+    lazyLoad(dbbase, ns, filter = function(n) n != ".__NAMESPACE__.")
+})
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/rematch2/R/rematch2.rdb
===================================================================
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___________________________________________________________________
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   + application/octet-stream

Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/rematch2/html/R.css
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/rematch2/html/R.css	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/rematch2/html/R.css	(revision 3761)
@@ -0,0 +1,120 @@
+@media screen {
+    .container {
+	padding-right: 10px;
+	padding-left: 10px;
+	margin-right: auto;
+	margin-left: auto;
+	max-width: 900px;
+    }
+}
+
+.rimage img { /* from knitr - for examples and demos */
+    width: 96%;
+    margin-left: 2%;
+} 	
+
+.katex { font-size: 1.1em; }
+
+code {
+    color: inherit;
+    background: inherit;
+}
+
+body {
+    line-height: 1.4;
+    background: white;
+    color: black;
+}
+
+a:link {
+    background: white;
+    color: blue;
+}
+
+a:visited {
+    background: white;
+    color: rgb(50%, 0%, 50%);
+}
+
+h1 {
+    background: white;
+    color: rgb(55%, 55%, 55%);
+    font-family: monospace;
+    font-size: 1.4em; /* x-large; */
+    text-align: center;
+}
+
+h2 {
+    background: white;
+    color: rgb(40%, 40%, 40%);
+    font-family: monospace;
+    font-size: 1.2em; /* large; */
+    text-align: center;
+}
+
+h3 {
+    background: white;
+    color: rgb(40%, 40%, 40%);
+    font-family: monospace;
+    font-size: 1.2em; /* large; */
+}
+
+h4 {
+    background: white;
+    color: rgb(40%, 40%, 40%);
+    font-family: monospace;
+    font-style: italic;
+    font-size: 1.2em; /* large; */
+}
+
+h5 {
+    background: white;
+    color: rgb(40%, 40%, 40%);
+    font-family: monospace;
+}
+
+h6 {
+    background: white;
+    color: rgb(40%, 40%, 40%);
+    font-family: monospace;
+    font-style: italic;
+}
+
+img.toplogo {
+    width: 4em;
+    vertical-align: middle;
+}
+
+img.arrow {
+    width: 30px;
+    height: 30px;
+    border: 0;
+}
+
+span.acronym {
+    font-size: small;
+}
+
+span.env {
+    font-family: monospace;
+}
+
+span.file {
+    font-family: monospace;
+}
+
+span.option{
+    font-family: monospace;
+}
+
+span.pkg {
+    font-weight: bold;
+}
+
+span.samp{
+    font-family: monospace;
+}
+
+div.vignettes a:hover {
+    background: rgb(85%, 85%, 85%);
+}
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/rematch2/html/00Index.html
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/rematch2/html/00Index.html	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/rematch2/html/00Index.html	(revision 3761)
@@ -0,0 +1,45 @@
+<!DOCTYPE html>
+<html>
+<head><title>R: Tidy Output from Regular Expression Matching</title>
+<meta http-equiv="Content-Type" content="text/html; charset=utf-8" />
+<meta name="viewport" content="width=device-width, initial-scale=1.0, user-scalable=yes" />
+<link rel="stylesheet" type="text/css" href="R.css" />
+</head><body><div class="container">
+<h1> Tidy Output from Regular Expression Matching
+<img class="toplogo" src="../../../doc/html/Rlogo.svg" alt="[R logo]" />
+</h1>
+<hr/>
+<div style="text-align: center;">
+<a href="../../../doc/html/packages.html"><img class="arrow" src="../../../doc/html/left.jpg" alt="[Up]" /></a>
+<a href="../../../doc/html/index.html"><img class="arrow" src="../../../doc/html/up.jpg" alt="[Top]" /></a>
+</div><h2>Documentation for package &lsquo;rematch2&rsquo; version 2.1.2</h2>
+
+<ul><li><a href="../DESCRIPTION">DESCRIPTION file</a>.</li>
+</ul>
+
+<h2>Help Pages</h2>
+
+
+<table style="width: 100%;">
+<tr><td style="width: 25%;"><a href="rematch2-package.html">rematch2-package</a></td>
+<td>Match Regular Expressions with a Nicer 'API'</td></tr>
+<tr><td style="width: 25%;"><a href="re_exec.html">$.rematch_allrecords</a></td>
+<td>Extract Data From First Regular Expression Match Into a Data Frame</td></tr>
+<tr><td style="width: 25%;"><a href="re_exec.html">$.rematch_records</a></td>
+<td>Extract Data From First Regular Expression Match Into a Data Frame</td></tr>
+<tr><td style="width: 25%;"><a href="bind_re_match.html">bind_re_match</a></td>
+<td>Match results from a data frame column and attach results</td></tr>
+<tr><td style="width: 25%;"><a href="bind_re_match.html">bind_re_match_</a></td>
+<td>Match results from a data frame column and attach results</td></tr>
+<tr><td style="width: 25%;"><a href="rematch2-package.html">rematch2</a></td>
+<td>Match Regular Expressions with a Nicer 'API'</td></tr>
+<tr><td style="width: 25%;"><a href="re_exec.html">re_exec</a></td>
+<td>Extract Data From First Regular Expression Match Into a Data Frame</td></tr>
+<tr><td style="width: 25%;"><a href="re_exec_all.html">re_exec_all</a></td>
+<td>Extract Data From All Regular Expression Matches Into a Data Frame</td></tr>
+<tr><td style="width: 25%;"><a href="re_match.html">re_match</a></td>
+<td>Extract Regular Expression Matches Into a Data Frame</td></tr>
+<tr><td style="width: 25%;"><a href="re_match_all.html">re_match_all</a></td>
+<td>Extract All Regular Expression Matches Into a Data Frame</td></tr>
+</table>
+</div></body></html>
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/rematch2/Meta/package.rds
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Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/rematch2/help/rematch2.rdx
===================================================================
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___________________________________________________________________
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   + application/octet-stream

Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/rematch2/help/AnIndex
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/rematch2/help/AnIndex	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/rematch2/help/AnIndex	(revision 3761)
@@ -0,0 +1,10 @@
+rematch2-package	rematch2-package
+$.rematch_allrecords	re_exec
+$.rematch_records	re_exec
+bind_re_match	bind_re_match
+bind_re_match_	bind_re_match
+rematch2	rematch2-package
+re_exec	re_exec
+re_exec_all	re_exec_all
+re_match	re_match
+re_match_all	re_match_all
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/rematch2/help/paths.rds
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===================================================================
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Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/rematch2/help/rematch2.rdb
===================================================================
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___________________________________________________________________
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   + application/octet-stream

Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/sass/sass-color/DESCRIPTION
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/sass/sass-color/DESCRIPTION	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/sass/sass-color/DESCRIPTION	(revision 3761)
@@ -0,0 +1,7 @@
+Title: Sass Color Example
+Author: RStudio, Inc.
+AuthorUrl: http://www.rstudio.com/
+License: MIT
+DisplayMode: Showcase
+Tags: sass css
+Type: Shiny
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/sass/sass-color/README.md
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/sass/sass-color/README.md	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/sass/sass-color/README.md	(revision 3761)
@@ -0,0 +1 @@
+This example shows how to use the [sass](https://github.com/rstudio/sass) R package to dynamically generate a stylesheet that changes the background color in a shiny app.
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/sass/sass-color/rsconnect/shinyapps.io/gallery/sass-color.dcf
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/sass/sass-color/rsconnect/shinyapps.io/gallery/sass-color.dcf	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/sass/sass-color/rsconnect/shinyapps.io/gallery/sass-color.dcf	(revision 3761)
@@ -0,0 +1,12 @@
+name: sass-color
+title: sass-color
+username:
+account: gallery
+server: shinyapps.io
+hostUrl: https://api.shinyapps.io/v1
+appId: 429290
+bundleId: 1584201
+url: https://gallery.shinyapps.io/sass-color/
+when: 1536858925.49865
+asMultiple: FALSE
+asStatic: FALSE
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/sass/sass-color/app.R
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/sass/sass-color/app.R	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/sass/sass-color/app.R	(revision 3761)
@@ -0,0 +1,62 @@
+library(shiny)
+library(sass)
+library(colourpicker)
+
+ui <- fluidPage(
+  headerPanel("Sass Color Example"),
+  uiOutput("sass"),
+
+  sidebarPanel(
+    colourInput("color", "Background Color", value = "#6498d2",
+                showColour = "text")
+  ),
+
+  mainPanel(
+    plotOutput("distPlot"),
+    br()
+  ),
+
+  column(6, verbatimTextOutput("scssTxt")),
+  column(6, verbatimTextOutput("cssTxt"))
+)
+
+server <- function(input, output) {
+  output$distPlot <- renderPlot({
+    hist(rnorm(500))
+  })
+
+  variables <- reactive({
+    list(
+      color = input$color
+    )
+  })
+
+  sass_input <- reactive({
+    list(
+      variables(),
+      paste(
+        "body {",
+        "  background-color: $color;",
+        "}",
+        sep = "\n"
+      )
+    )
+  })
+  compiled_css <- reactive({
+    sass(sass_input())
+  })
+
+  output$sass <- renderUI({
+    tags$head(tags$style(compiled_css()))
+  })
+
+  output$scssTxt <- renderText({
+    paste0("/* Sass */\n", as_sass(sass_input()))
+  })
+
+  output$cssTxt <- renderText({
+    paste0("/* Compiled CSS */\n", compiled_css())
+  })
+}
+
+shinyApp(ui, server)
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/sass/Meta/package.rds
===================================================================
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___________________________________________________________________
Added: svn:mime-type
   + application/octet-stream

Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/sass/Meta/nsInfo.rds
===================================================================
Cannot display: file marked as a binary type.
svn:mime-type = application/octet-stream

Property changes on: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/sass/Meta/nsInfo.rds
___________________________________________________________________
Added: svn:mime-type
   + application/octet-stream

Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/sass/Meta/hsearch.rds
===================================================================
Cannot display: file marked as a binary type.
svn:mime-type = application/octet-stream

Property changes on: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/sass/Meta/hsearch.rds
___________________________________________________________________
Added: svn:mime-type
   + application/octet-stream

Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/sass/Meta/features.rds
===================================================================
Cannot display: file marked as a binary type.
svn:mime-type = application/octet-stream

Property changes on: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/sass/Meta/features.rds
___________________________________________________________________
Added: svn:mime-type
   + application/octet-stream

Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/sass/Meta/links.rds
===================================================================
Cannot display: file marked as a binary type.
svn:mime-type = application/octet-stream

Property changes on: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/sass/Meta/links.rds
___________________________________________________________________
Added: svn:mime-type
   + application/octet-stream

Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/sass/Meta/Rd.rds
===================================================================
Cannot display: file marked as a binary type.
svn:mime-type = application/octet-stream

Property changes on: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/sass/Meta/Rd.rds
___________________________________________________________________
Added: svn:mime-type
   + application/octet-stream

Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/sass/Meta/vignette.rds
===================================================================
Cannot display: file marked as a binary type.
svn:mime-type = application/octet-stream

Property changes on: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/sass/Meta/vignette.rds
___________________________________________________________________
Added: svn:mime-type
   + application/octet-stream

Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/sass/help/sass.rdb
===================================================================
Cannot display: file marked as a binary type.
svn:mime-type = application/octet-stream

Property changes on: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/sass/help/sass.rdb
___________________________________________________________________
Added: svn:mime-type
   + application/octet-stream

Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/sass/help/figures/sass-logo-color.png
===================================================================
Cannot display: file marked as a binary type.
svn:mime-type = application/octet-stream

Property changes on: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/sass/help/figures/sass-logo-color.png
___________________________________________________________________
Added: svn:mime-type
   + application/octet-stream

Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/sass/help/figures/logo.svg
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/sass/help/figures/logo.svg	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/sass/help/figures/logo.svg	(revision 3761)
@@ -0,0 +1 @@
+<svg id="Layer_1" data-name="Layer 1" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 735 852"><defs><style>.cls-1{fill:#c69;}.cls-2{fill:#dadbdf;}.cls-3{isolation:isolate;}.cls-4{fill:#484c55;}.cls-5{fill:none;}.cls-6{fill:#fff;}</style></defs><polygon class="cls-1" points="369.5 7.4 728.2 214.47 728.2 636.62 369.5 845.03 2.79 636.62 2.79 214.47 369.5 7.4"/><path id="Layer" class="cls-2" d="M734.91,213.13V637.38l-29.3,16.92L424.34,816.69l-56.85,32.82-56.85-32.82L29.36,654.29.08,637.38V213.13l29.28-16.91L307.18,35.82,367.49,1l60.32,34.82,277.8,160.39ZM705.61,231,367.49,35.82,29.36,231V621.47L367.49,816.68,705.61,621.47Z"/><g id="Layer-2" data-name="Layer"><g id="ww" class="cls-3"><g class="cls-3"><path class="cls-4" 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\ No newline at end of file
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/sass/help/sass.rdx
===================================================================
Cannot display: file marked as a binary type.
svn:mime-type = application/octet-stream

Property changes on: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/sass/help/sass.rdx
___________________________________________________________________
Added: svn:mime-type
   + application/octet-stream

Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/sass/help/AnIndex
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/sass/help/AnIndex	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/sass/help/AnIndex	(revision 3761)
@@ -0,0 +1,30 @@
+as_sass	as_sass
+as_sass_layer	as_sass_layer
+FileCache	FileCache
+font_collection	font_face
+font_face	font_face
+font_google	font_face
+font_link	font_face
+is_font_collection	font_face
+is_sass_bundle	sass_layer
+output_template	output_template
+sass	sass
+sass-deprecated	sass-deprecated
+sass_bundle	sass_layer
+sass_bundle_remove	sass_layer
+sass_cache_context_dir	sass_cache_context_dir
+sass_cache_get	sass_cache_get
+sass_cache_get_dir	sass_cache_get_dir
+sass_cache_options	sass_cache_options
+sass_cache_set_dir	sass_cache_get_dir
+sass_file	sass_import
+sass_file_cache	sass_file_cache
+sass_import	sass_import
+sass_layer	sass_layer
+sass_layer_file	sass_layer
+sass_layer_merge	sass-deprecated
+sass_options	sass_options
+sass_options_get	sass_options
+sass_options_set	sass_options
+sass_partial	sass_partial
+write_file_attachments	write_file_attachments
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/sass/help/paths.rds
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   + application/octet-stream

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   + application/octet-stream

Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/sass/R/sass.rdb
===================================================================
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===================================================================
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Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/sass/R/sass
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/sass/R/sass	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/sass/R/sass	(revision 3761)
@@ -0,0 +1,27 @@
+#  File share/R/nspackloader.R
+#  Part of the R package, https://www.R-project.org
+#
+#  Copyright (C) 1995-2012 The R Core Team
+#
+#  This program is free software; you can redistribute it and/or modify
+#  it under the terms of the GNU General Public License as published by
+#  the Free Software Foundation; either version 2 of the License, or
+#  (at your option) any later version.
+#
+#  This program is distributed in the hope that it will be useful,
+#  but WITHOUT ANY WARRANTY; without even the implied warranty of
+#  MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
+#  GNU General Public License for more details.
+#
+#  A copy of the GNU General Public License is available at
+#  https://www.r-project.org/Licenses/
+
+local({
+    info <- loadingNamespaceInfo()
+    pkg <- info$pkgname
+    ns <- .getNamespace(as.name(pkg))
+    if (is.null(ns))
+        stop("cannot find namespace environment for ", pkg, domain = NA);
+    dbbase <- file.path(info$libname, pkg, "R", pkg)
+    lazyLoad(dbbase, ns, filter = function(n) n != ".__NAMESPACE__.")
+})
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/sass/html/R.css
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/sass/html/R.css	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/sass/html/R.css	(revision 3761)
@@ -0,0 +1,120 @@
+@media screen {
+    .container {
+	padding-right: 10px;
+	padding-left: 10px;
+	margin-right: auto;
+	margin-left: auto;
+	max-width: 900px;
+    }
+}
+
+.rimage img { /* from knitr - for examples and demos */
+    width: 96%;
+    margin-left: 2%;
+} 	
+
+.katex { font-size: 1.1em; }
+
+code {
+    color: inherit;
+    background: inherit;
+}
+
+body {
+    line-height: 1.4;
+    background: white;
+    color: black;
+}
+
+a:link {
+    background: white;
+    color: blue;
+}
+
+a:visited {
+    background: white;
+    color: rgb(50%, 0%, 50%);
+}
+
+h1 {
+    background: white;
+    color: rgb(55%, 55%, 55%);
+    font-family: monospace;
+    font-size: 1.4em; /* x-large; */
+    text-align: center;
+}
+
+h2 {
+    background: white;
+    color: rgb(40%, 40%, 40%);
+    font-family: monospace;
+    font-size: 1.2em; /* large; */
+    text-align: center;
+}
+
+h3 {
+    background: white;
+    color: rgb(40%, 40%, 40%);
+    font-family: monospace;
+    font-size: 1.2em; /* large; */
+}
+
+h4 {
+    background: white;
+    color: rgb(40%, 40%, 40%);
+    font-family: monospace;
+    font-style: italic;
+    font-size: 1.2em; /* large; */
+}
+
+h5 {
+    background: white;
+    color: rgb(40%, 40%, 40%);
+    font-family: monospace;
+}
+
+h6 {
+    background: white;
+    color: rgb(40%, 40%, 40%);
+    font-family: monospace;
+    font-style: italic;
+}
+
+img.toplogo {
+    width: 4em;
+    vertical-align: middle;
+}
+
+img.arrow {
+    width: 30px;
+    height: 30px;
+    border: 0;
+}
+
+span.acronym {
+    font-size: small;
+}
+
+span.env {
+    font-family: monospace;
+}
+
+span.file {
+    font-family: monospace;
+}
+
+span.option{
+    font-family: monospace;
+}
+
+span.pkg {
+    font-weight: bold;
+}
+
+span.samp{
+    font-family: monospace;
+}
+
+div.vignettes a:hover {
+    background: rgb(85%, 85%, 85%);
+}
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/sass/html/00Index.html
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/sass/html/00Index.html	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/sass/html/00Index.html	(revision 3761)
@@ -0,0 +1,68 @@
+<!DOCTYPE html>
+<html>
+<head><title>R: Syntactically Awesome Style Sheets ('Sass')</title>
+<meta http-equiv="Content-Type" content="text/html; charset=utf-8" />
+<meta name="viewport" content="width=device-width, initial-scale=1.0, user-scalable=yes" />
+<link rel="stylesheet" type="text/css" href="R.css" />
+</head><body><div class="container">
+<h1> Syntactically Awesome Style Sheets ('Sass')
+<img class="toplogo" src="../../../doc/html/Rlogo.svg" alt="[R logo]" />
+</h1>
+<hr/>
+<div style="text-align: center;">
+<a href="../../../doc/html/packages.html"><img class="arrow" src="../../../doc/html/left.jpg" alt="[Up]" /></a>
+<a href="../../../doc/html/index.html"><img class="arrow" src="../../../doc/html/up.jpg" alt="[Top]" /></a>
+</div><h2>Documentation for package &lsquo;sass&rsquo; version 0.4.5</h2>
+
+<ul><li><a href="../DESCRIPTION">DESCRIPTION file</a>.</li>
+<li><a href="../doc/index.html">User guides, package vignettes and other documentation.</a></li>
+</ul>
+
+<h2>Help Pages</h2>
+
+
+<table style="width: 100%;">
+<tr><td style="width: 25%;"><a href="as_sass.html">as_sass</a></td>
+<td>Convert an R object into Sass code</td></tr>
+<tr><td style="width: 25%;"><a href="font_face.html">font_collection</a></td>
+<td>Helpers for importing web fonts</td></tr>
+<tr><td style="width: 25%;"><a href="font_face.html">font_face</a></td>
+<td>Helpers for importing web fonts</td></tr>
+<tr><td style="width: 25%;"><a href="font_face.html">font_google</a></td>
+<td>Helpers for importing web fonts</td></tr>
+<tr><td style="width: 25%;"><a href="font_face.html">font_link</a></td>
+<td>Helpers for importing web fonts</td></tr>
+<tr><td style="width: 25%;"><a href="font_face.html">is_font_collection</a></td>
+<td>Helpers for importing web fonts</td></tr>
+<tr><td style="width: 25%;"><a href="sass_layer.html">is_sass_bundle</a></td>
+<td>Bundling Sass layers</td></tr>
+<tr><td style="width: 25%;"><a href="output_template.html">output_template</a></td>
+<td>An intelligent (temporary) output file</td></tr>
+<tr><td style="width: 25%;"><a href="sass.html">sass</a></td>
+<td>Compile Sass to CSS</td></tr>
+<tr><td style="width: 25%;"><a href="sass_layer.html">sass_bundle</a></td>
+<td>Bundling Sass layers</td></tr>
+<tr><td style="width: 25%;"><a href="sass_layer.html">sass_bundle_remove</a></td>
+<td>Bundling Sass layers</td></tr>
+<tr><td style="width: 25%;"><a href="sass_cache_get.html">sass_cache_get</a></td>
+<td>Retrieve the default file cache</td></tr>
+<tr><td style="width: 25%;"><a href="sass_import.html">sass_file</a></td>
+<td>Sass Import</td></tr>
+<tr><td style="width: 25%;"><a href="sass_file_cache.html">sass_file_cache</a></td>
+<td>Create a file cache object</td></tr>
+<tr><td style="width: 25%;"><a href="sass_import.html">sass_import</a></td>
+<td>Sass Import</td></tr>
+<tr><td style="width: 25%;"><a href="sass_layer.html">sass_layer</a></td>
+<td>Bundling Sass layers</td></tr>
+<tr><td style="width: 25%;"><a href="sass_layer.html">sass_layer_file</a></td>
+<td>Bundling Sass layers</td></tr>
+<tr><td style="width: 25%;"><a href="sass_options.html">sass_options</a></td>
+<td>Compiler Options for Sass</td></tr>
+<tr><td style="width: 25%;"><a href="sass_options.html">sass_options_get</a></td>
+<td>Compiler Options for Sass</td></tr>
+<tr><td style="width: 25%;"><a href="sass_options.html">sass_options_set</a></td>
+<td>Compiler Options for Sass</td></tr>
+<tr><td style="width: 25%;"><a href="sass_partial.html">sass_partial</a></td>
+<td>Compile rules against a Sass Bundle or Sass Layer object</td></tr>
+</table>
+</div></body></html>
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/sass/doc/sass.R
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/sass/doc/sass.R	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/sass/doc/sass.R	(revision 3761)
@@ -0,0 +1,23 @@
+## ----setup, include=FALSE-----------------------------------------------------
+library(sass)
+knitr::opts_chunk$set(
+  collapse = TRUE,
+  message = FALSE,
+  fig.align = "center",
+  out.width = "80%",
+  class.output = "css",
+  comment = ""
+)
+
+## ---- eval=FALSE, ref.label='bs_sass'-----------------------------------------
+#  NA
+
+## ---- echo = FALSE, out.width='50%'-------------------------------------------
+knitr::include_graphics('my-style.png')
+
+## ---- echo = FALSE, out.width='30%'-------------------------------------------
+knitr::include_graphics('hello-pacifico.png')
+
+## ---- echo = FALSE------------------------------------------------------------
+knitr::include_graphics("https://i.imgur.com/5cUEifg.gif")
+
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/sass/doc/index.html
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/sass/doc/index.html	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/sass/doc/index.html	(revision 3761)
@@ -0,0 +1,29 @@
+<!DOCTYPE html>
+<html>
+<head><title>R: Vignettes and other documentation</title>
+<meta http-equiv="Content-Type" content="text/html; charset=utf-8" />
+<meta name="viewport" content="width=device-width, initial-scale=1.0, user-scalable=yes" />
+<link rel="stylesheet" type="text/css" href="/doc/html/R.css" />
+</head><body><div class="container">
+<h1> Vignettes and other documentation
+<img class="toplogo" src="/doc/html/Rlogo.svg" alt="[R logo]" />
+</h1>
+<hr/>
+<div style="text-align: center;">
+<a href="/doc/html/index.html"><img class="arrow" src="/doc/html/up.jpg" alt="[Top]" /></a>
+</div>
+<h2>Vignettes from package 'sass'</h2>
+<table style="width: 100%;">
+<col style="width: 22%;" />
+<col style="width:  2%;" />
+<col style="width: 50%;" />
+<col style="width:  8%;" />
+<col style="width:  8%;" />
+<col style="width:  8%;" />
+<tr><td style="text-align: right; vertical-align: top;"><a href="../../../library/sass/doc/sass.html">sass::sass</a></td>
+<td></td><td style="vertical-align: top;">Overview of the sass R package</td>
+<td style="vertical-align: top;"><a href="../../../library/sass/doc/sass.html">HTML</a></td>
+<td style="vertical-align: top;"><a href="../../../library/sass/doc/sass.Rmd">source</a></td>
+<td style="vertical-align: top; white-space: nowrap"><a href="../../../library/sass/doc/sass.R">R code</a></td></tr>
+</table>
+</div></body></html>
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/sass/doc/sass.Rmd
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/sass/doc/sass.Rmd	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/sass/doc/sass.Rmd	(revision 3761)
@@ -0,0 +1,480 @@
+---
+title: "Overview of the sass R package"
+author: "Carson Sievert"
+date: "`r Sys.Date()`"
+output: rmarkdown::html_vignette
+vignette: >
+  %\VignetteIndexEntry{Overview of the sass R package}
+  %\VignetteEngine{knitr::rmarkdown}
+  %\VignetteEncoding{UTF-8}
+---
+
+<style>
+pre {
+  border: 1px solid #eee;
+}
+
+pre.r {
+  background-color: #ffffff;
+  margin-bottom: -0.5em;
+}
+
+pre.r code {
+  background-color: #ffffff;
+}
+
+pre.css {
+  background-color: #f8f8f8;
+  border-radius: 0;
+  border-bottom-left-radius: 4px;
+  border-bottom-right-radius: 4px;
+}
+</style>
+
+
+
+## Why Sass? {#why}
+
+[Sass](https://sass-lang.com/) is the most widely used, feature rich, and stable CSS extension language available. It has become an essential tool in modern web development because of its ability to _reduce complexity_ and _increase composability_ when styling a website. For a basic example, suppose you want to use the same color for multiple styling rules in your website (e.g., hyperlinks and buttons). With CSS, you'd have to repeat that color every time it is used in styling rule, so in a large project, changing at a later point can be tedious and error-prone.
+
+```css
+a {
+  color: salmon;
+}
+button {
+  background-color: salmon;
+}
+```
+
+With Sass, you could store this color in a Sass variable and use it in the styling rules to produce the same CSS, resulting in a single entry point for the color's value. This simple Sass tool can make CSS styling a lot easier to reason about, making styles a lot easier to customize and maintain.
+
+```css
+$main-color: salmon;
+a {
+  color: $main-color;
+}
+button {
+  background-color: $main-color;
+}
+```
+
+Sass variables are not the only Sass tool useful for reducing complexity. For Sass and **sass** newcomers, this vignette first covers how to use basic Sass tools like [variables](#variables), [mixins](#mixins), and [functions](#functions) in the **sass** R package. After the basics, you'll also learn how to write [composable **sass**](#layering) that allows users to easily override your styling defaults and developers to [include](#includes) your Sass in their styling projects. You'll also learn how to control the CSS output (e.g., [compress](#compression) and [cache](#caching) it), and how to use it in [**shiny**](#shiny) & [**rmarkdown**](#rmarkdown).
+
+By mastering these concepts, you'll not only be able to leverage the advantages of using Sass over CSS, but you'll also have the basis needed to develop R interfaces to Sass projects that allow users to easily customize your styling templates _without any knowledge of Sass/CSS_. For an example, see the [**bslib** R package](https://github.com/rstudio/bslib), which provides a interface to [Bootstrap Sass](https://getbootstrap.com/docs/4.0/getting-started/theming/) through easy-to-use functions like `bs_theme_add_variables()`.
+
+## Sass Basics {#basics}
+
+```{r setup, include=FALSE}
+library(sass)
+knitr::opts_chunk$set(
+  collapse = TRUE,
+  message = FALSE,
+  fig.align = "center",
+  out.width = "80%",
+  class.output = "css",
+  comment = ""
+)
+```
+
+### Variables {#variables}
+
+[Sass variables](https://sass-lang.com/guide#topic-2) are a great mechanism for simplifying and exposing CSS logic to users. To create a variable, assign a value (likely a CSS [property value](https://developer.mozilla.org/en-US/docs/Learn/Getting_started_with_the_web/CSS_basics)) to a name, then refer to it by name in downstream Sass code. In this minimal example, we create a `body-bg` variable then use it to generate a single [style rule](https://sass-lang.com/documentation//style-rules), but as we'll see later, variables can also be used inside of other arbitrary Sass code (e.g., functions, mixins, etc).
+
+```r
+library(sass)
+variable <- "$body-bg: red;"
+rule <- "body { background-color: $body-bg; }"
+sass(input = list(variable, rule))
+```
+
+```css
+/* CSS */
+body { 
+  background-color: red;
+}
+```
+
+A more convenient and readable way to create Sass variables in R is to use a named `list()`. Also, it's a good idea to add the ` !default` flag after the value since it provides users of your Sass an opportunity to set their own value. We'll learn more about defaults in [layering](#layering), but for now, just note that the `!default` flag says use this value only if that variable isn't already defined:
+
+```r
+user_default <- list("body-bg" = "blue !default")
+default <- list("body-bg" = "red !default")
+sass(input = list(user_default, default, rule))
+```
+
+```css
+/* CSS */
+body { 
+  background-color: blue;
+}
+```
+
+### Functions {#functions}
+
+Sass comes with a variety of [built-in functions](https://sass-lang.com/documentation//modules) (i.e., you don't have to [import](#imports) anything to start using them) which are useful for working with CSS values ([colors](https://sass-lang.com/documentation//modules/color), [numbers](https://sass-lang.com/documentation//modules/math), [strings](https://sass-lang.com/documentation//modules/string), etc). These built-in functions are primarily useful modifying or combining CSS values in such a way that isn't possible with CSS. Here we use the `rgba()` to add alpha blending to `black` and assign the result to a variable.^[Oh, by the way, the value of a variable may be an expression.]
+
+```r
+variable <- list("body-bg" = "rgba(black, 0.8)")
+sass(input = list(variable, rule))
+```
+
+```css
+/* CSS */
+body {
+  background-color: rgba(0, 0, 0, 0.8);
+}
+```
+
+Sass also provides the ability to define your own functions through the [`@function` at-rule](https://sass-lang.com/documentation//at-rules/function). Like functions in most languages, there are four main components to a function definition: (1) the function `name`, (2) the function argument/inputs (e.g., `arg1`, `arg2`), (3) the function body which contains statements (i.e., `statement1`, `statement2`, etc.), and finally (4) a return `value`.
+
+```r
+@function name(arg1, arg2) {
+  statement1;
+  statement2;
+  @return value;
+}
+```
+
+<br>
+
+For an example of where creating your function becomes useful, consider this `color-contrast()` function, inspired by [this SO answer](https://stackoverflow.com/questions/3942878/how-to-decide-font-color-in-white-or-black-depending-on-background-color/3943023#3943023) to a common problem that arises when allowing users control over background color of something (e.g., the document body). We'd like to strive for styling rules that are smart enough to overlay white text on a dark colored background and black text on a light colored background. `color-contrast()` helps us achieve this since, given a dark color, it returns white; and given a light color, it returns black.
+
+```r
+@function color-contrast($color) {
+  @return if(
+    red($color) * 0.299 + green($color) * 0.587 + blue($color) * 0.114 > 186,
+    black, white
+  );
+}
+```
+
+<br>
+
+By saving this function to a file named `color-contrast.scss`, it can then be [imported](#imports) and used in the following way. For a live example of this in action, consider [this Shiny app](https://gallery.shinyapps.io/sass-font/) which allows the user to interactively choose a background color and the title's font color automatically updates to an appropriate color contrast. [See here](#shiny-dynamic) for more on allowing **shiny** users to influence styling on the page using **sass**.
+
+```r
+sass(
+  list(
+    variable,
+    sass_file("color-contrast.scss"),
+    "body {
+      background-color: $body-bg;
+      color: color-contrast($body-bg);
+    }"
+  )
+)
+```
+
+```css
+/* CSS */
+body {
+  background-color: rgba(0, 0, 0, 0.8);
+  color: white;
+}
+```
+
+**NOTE**: `bslib::bs_theme()` provides it's own, more sophisticated, version of `color-contrast()` that you can use like so:  `sass::sass_partial("body{color: color-contrast($body-bg)}", bs_theme())`
+
+```{r, eval=FALSE, ref.label='bs_sass'}
+```
+
+### Importing {#imports}
+
+In practice, you'll want to write your Sass code in `.scss` ([or `.sass`](https://sass-lang.com/documentation//syntax)) files (instead of inside R strings). That way you can leverage things like syntax highlighting in RStudio (or your favorite IDE) and make it easier for others to import your Sass into their workflow. For example, if I have `.scss` file in my working directory, say `my-style.scss`, I can compile it this way:
+
+```r
+sass(sass_file("my-style.scss"))
+```
+
+```{r, echo = FALSE, out.width='50%'}
+knitr::include_graphics('my-style.png')
+```
+
+```css
+/* CSS */
+body {
+  background-color: rgba(0, 0, 0, 0.8);
+}
+```
+
+This works because `sass_file()` uses `sass_import()` to generate an `@import` at-rule. If you visit the [docs for `@import`](https://sass-lang.com/documentation//at-rules/import), you'll notice there's more you can do that import local `.scss`, like import local or remote `.css` files, import font files, and more. Note also that `{sass}` also provides tools that make importing of local font files easier -- see `font_google()` to learn more.
+
+## Font imports {#file-import}
+
+Importing font file(s) directly in Sass/CSS/HTML can be a headache to implement. This is especially true if you want to serve font files so that a custom font renders on any client machine, even if the client is without an internet connection. To make this easier, `{sass}` provides a `font_google()` which can be used to download, cache, import, and serve the relevant font files all at once.
+
+```r
+library(htmltools)
+
+my_font <- list("my-font" = font_google("Pacifico"))
+css <- sass(
+  list(
+    my_font,
+    list("body {font-family: $my-font}")
+  )
+)
+
+shinyApp(
+  fluidPage(
+    "Hello",
+    tags$style(css)
+  ), 
+  function(...) {}
+)
+```
+
+```{r, echo = FALSE, out.width='30%'}
+knitr::include_graphics('hello-pacifico.png')
+```
+
+To import non-Google fonts, use either `font_link()` or `font_face()`. The former is for importing fonts via a remote URL whereas the former could be use to import any font locally (or remotely).
+
+### Mixins {#mixins}
+
+Similar to how functions are useful for encapsulating _computation_ in a reusable unit, [mixins](https://sass-lang.com/documentation//at-rules/mixin) are useful for doing the same with _styling rules_ (i.e., packaging them into a reusable unit).
+Technically speaking, mixins are similar to functions in that they require a `name`, may have arguments, as well as any number of statements. However, they differ in that they require the return value to be a [style rule](https://sass-lang.com/documentation//style-rules), and when called, need to be `@include`d in a larger style rule in order to generate any CSS.
+
+For some examples, please see the [Sass mixin documentation](https://sass-lang.com/documentation//at-rules/mixin).
+
+### More basics
+
+This vignette intentionally doesn't try to re-invent the existing and wonderful [Sass documentation](https://sass-lang.com/documentation/). There you'll find many more useful things as you start to write more Sass, such as [control flow](https://sass-lang.com/documentation//at-rules/control), [lists](https://sass-lang.com/documentation//values/lists), [maps](https://sass-lang.com/documentation//values/maps), [interpolation](https://sass-lang.com/documentation//interpolation), and more.
+
+## Composable sass {#layering}
+
+To make Sass code more composable with other Sass code (e.g., allowing others to change your variable defaults or import a function or mixin you've defined), consider partitioning your Sass code into a `sass::sass_layer()`. The main idea is to split your Sass into 4 parts: [`functions`](#functions), `defaults` (i.e. [variable defaults](#variables)), [`mixins`](#mixins), and `rules` (i.e., styling rules).
+
+```r
+layer1 <- sass_layer(
+  functions = sass_file("color-contrast.scss"),
+  defaults = list("body-bg" = "black !default"),
+  rules = "body{background-color: $body-bg; color: color-contrast($body-bg)}"
+)
+as_sass(layer1)
+```
+
+```css
+/* CSS */
+body {
+  background-color: black;
+  color: white;
+}
+```
+
+This allows downstream `sass_layer()`s to be `sass_bundle()`d into a single layer, where `defaults` in downstream layers are granted higher priority. More specifically, this means:
+
+* `defaults` for `layer2` are placed _before_ `defaults` for `layer1`.
+  * Allowing downstream Sass to override variable defaults in upstream Sass.
+* `rules` for `layer2` are placed _after_ `rules` for `layer1`.
+  * Allows downstream rules to take precedence over upstream rules ([precedence](https://css-tricks.com/precedence-css-order-css-matters/) matters when there are multiple rules with the same level of [specificity](https://css-tricks.com/specifics-on-css-specificity/)).
+
+```r
+layer2 <- sass_layer(
+  defaults = list("body-bg" = "white !default")
+)
+sass(sass_bundle(layer1, layer2))
+```
+
+```css
+/* CSS */
+body {
+  background-color: white;
+  color: black;
+}
+```
+
+### Resolving relative imports {#imports-relative}
+
+Another problem that `sass_layer()` helps solve is that sometimes your Sass code might want to [import](#imports) a local file using a relative path that _you_ know how to resolve, but not necessarily the person who eventually compiles your Sass. To solve this issue, provide a named character vector to `file_attachments`, pointing the relevant relative path(s) to the appropriate absolute path(s). Here's a contrived example of how that might look ([here's](https://github.com/rstudio/bslib/blob/9c973e9/R/layers.R#L75-L77) a more real example of using it in an R package).
+
+```r
+sass_layer(
+  declarations = "@import url('fonts/Source_Sans_Pro_300.ttf')",
+  file_attachments = c(
+    fonts = '/full/path/to/my/local/fonts'
+  )
+)
+```
+
+### Attaching HTML dependencies {#html-dependencies}
+
+Another problem that `sass_layer()` helps solve is that sometimes you want to attach other HTML dependencies to your Sass/CSS (e.g., JavaScript, other CSS, etc). For this reason, `sass_layer()` has a `html_deps` argument to which you can provide `htmltools::htmlDependency()` objects. `sass()` preserves these, as well as any other HTML dependencies attached to it's input, by including them in the return value. This ensures that, when you include `sass()` in [**rmarkdown**](#rmarkdown) or [**shiny**](#shiny-string) those dependencies come along for the ride.
+
+**DISCLAIMER**: If you want to use this feature _and_ include [CSS as a file in shiny](#shiny-file), you'll need to call `htmltools::htmlDependencies()` on the return value of `sass()` to get the dependencies, then include them in your user interface definition.
+
+## CSS output options {#options}
+
+The `sass()` function provides a few arguments for controlling the CSS output it generates, including `output`, `options`, and `cache_options`. The following covers some of the most important options available.
+
+### Output to a file {#output-file}
+
+If the CSS generated from `sass()` can be useful in more than one place, consider writing it to a file (instead of returning it as a string). To write CSS to a file, give a suitable file path to `sass()`'s `output` argument.
+
+```r
+sass(
+  sass_file("my-style.scss"),
+  output = "my-style.css"
+)
+```
+
+### Compression {#compression}
+
+By default, `sass()` outputs `'expanded'` CSS meaning there are lots of white-space and line-breaks included to make it more readable by humans. Computers don't need all those unnecessary characters, so to speed up your page load time when you go to include the CSS in [**shiny**](#shiny) or [**rmarkdown**](#rmarkdown), consider removing them altogether with `output_style = "compressed"`:
+
+```r
+sass(
+  sass_file("my-style.scss"),
+  options = sass_options(output_style = "compressed")
+)
+```
+
+### Source maps {#source-maps}
+
+When compressing the CSS output, it can be useful to include a [source map](http://www.richfinelli.com/what-is-a-css-source-maps/) so that it's easier to inspect the CSS from the website. The easiest way to include a source map is to set `source_map_embed = TRUE`:
+
+```r
+sass(
+  sass_file("my-style.scss"),
+  options = sass_options(
+    output_style = "compressed",
+    source_map_embed = TRUE
+  )
+)
+```
+
+### Caching {#caching}
+
+Sometimes calling `sass()` can be computationally expensive, in which case, it can be useful to leverage its caching capability. Caching is enabled by default, unless Shiny's Developer Mode (`shiny::devmode()`) is enabled. To explicitly enable (disable), set `options(sass.cache = )` to `TRUE` (or `FALSE`):
+
+```r
+withr::with_options(
+  list(sass.cache = TRUE),
+  sass(sass_file("my-style.scss"))
+)
+```
+
+You can also configure the location, size, and age of file caching via `sass_file_cache()`, which can be passed directly to a `sass()` call:
+
+```r
+sass(
+  sass_file("my-style.scss"),
+  cache = sass_file_cache(getwd(), max_size = 100 * 1024^2)
+)
+```
+
+Or used with `sass_cache_set_dir()` to configure the file cache globally:
+
+```r
+sass_cache_set_dir(getwd(), sass_file_cache(getwd(), max_size = 100 * 1024^2))
+```
+
+Note that the location of the file cache defaults to `sass_cache_context_dir()`, which depends on the context in which it's running. When inside a Shiny app, the cache location is relative to the app's directory so the cache can persist and be shared across R processes. Otherwise, the context directory is a OS and package specific caching directory.
+
+## In shiny {#shiny}
+
+There are two basic approaches to including the CSS that `sass()` returns as HTML
+in your **shiny** app. If you're curious, the official [shiny article on CSS](https://shiny.rstudio.com/articles/css.html) has more details with a couple different approaches. Regardless of the approach, consider leveraging [compressing](#compression) and [caching](#caching) the CSS output to make your app faster to load.
+
+### As a string {#shiny-string}
+
+The character string that `sass()` returns is already marked as `HTML()`^[Including [dynamic user input](#shiny-dynamic) directly as `HTML()`, especially with free form inputs like `textInput()`, is a security vulnerability. Avoid it if you can.], so to include it in your **shiny** app, wrap it in a `<style>` tag. It's not necessary to place this tag in the `<head>` of the document, but it's good practice:
+
+```r
+library(shiny)
+css <- sass(sass_file("my-style.scss"))
+fluidPage(
+  tags$head(tags$style(css),
+  ...
+)
+```
+
+### As a file {#shiny-file}
+
+To write CSS to a file, give a suitable file path to `sass()`'s `output` argument. Here we write to a specially named `www/` subdirectory so that **shiny** will automatically make those file(s) available to the web app.
+
+```r
+library(shiny)
+sass(
+  sass_file("my-style.scss"),
+  output = "www/my-style.css"
+)
+fluidPage(
+  tags$head(
+    tags$link(href = "my-style.css", rel = "stylesheet", type = "text/css")
+  ),
+  ...
+)
+```
+
+### As a dynamic input {#shiny-dynamic}
+
+Sometimes it's useful to allow users of your **shiny** app to be able to influence your app's styling via **shiny** input(s). One way this can be done is via [dynamic UI](https://shiny.rstudio.com/articles/dynamic-ui.html), where you use `renderUI()`/`uiOutput()` to dynamically insert [CSS as an HTML string](#shiny-string) whenever a relevant input changes. Be aware, however, that whenever you allow dynamic user input to generate `HTML()`, you're leaving yourself open to security vulnerabilites; so try to avoid it, and _never_ allow clients to enter free form `textInput()` without any sort of sanitation of the user input.
+
+Consider this basic example of using a `colourInput()` widget (from the **colourpicker** package) to choose the body's background color, which triggers a call to `sass()`:
+
+```r
+library(shiny)
+
+ui <- fluidPage(
+  headerPanel("Sass Color Example"),
+  colourpicker::colourInput("color", "Background Color", value = "#6498d2", showColour = "text"),
+  uiOutput("sass")
+)
+
+server <- function(input, output) {
+  output$sass <- renderUI({
+    tags$head(tags$style(css()))
+  })
+  css <- reactive({
+    sass::sass(list(
+      list(color = input$color),
+      "body { background-color: $color; }"
+    ))
+  })
+}
+
+shinyApp(ui, server)
+```
+
+<br>
+
+```{r, echo = FALSE}
+knitr::include_graphics("https://i.imgur.com/5cUEifg.gif")
+```
+
+
+Below are a few more sophisticated examples of dynamic input:
+
+* Font Color
+  * https://gallery.shinyapps.io/sass-font
+  * `shiny::runApp(system.file("sass-font", package = "sass"))`
+* Sizing
+  * https://gallery.shinyapps.io/sass-size
+  * `shiny::runApp(system.file("sass-size", package = "sass"))`
+* Themes
+  * https://gallery.shinyapps.io/sass-theme
+  * `shiny::runApp(system.file("sass-theme", package = "sass"))`
+
+
+## In rmarkdown {#rmarkdown}
+
+**knitr** [recently gained](https://github.com/yihui/knitr/pull/1666) a Sass engine powered by the **sass** package. This means you can write Sass code directly into a code `sass` chunk and the resulting CSS will be included in the resulting document (The `echo = FALSE` prevents the Sass code from being shown in the resulting document).
+
+    ```{sass, echo = FALSE}`r ''`
+    $body-bg: red;
+    body{
+      background-color: $body-bg;
+    }
+    ```
+
+If you like to write R **sass** code instead, you can do that as well, and by default it works similarly to the `sass` engine (except that the sass-specific code chunk options will be ignored, but you can specify those [options](#options) via `sass::sass()` instead).
+
+    ```{r, echo = FALSE}`r ''`
+    sass(sass_file("my-style.scss"))
+    ```
+
+If syntax highlighting is enabled in your output document , it's also possible to display the generated CSS (instead of embedding it as HTML) with syntax highlighting by setting the code chunk options `class.output='css'` and `comment=''`. Unfortunately, for some output formats, like `rmarkdown::html_vignette()`, syntax hightlighting isn't supported, but for output formats like `rmarkdown::html_document()`, you can enable syntax highlighting by setting the `highlight` parameter to a non-default value (e.g., `tango`).
+
+    ```{r, class.output='css', comment=''}`r ''`
+    sass(sass_file("my-style.scss"))
+    ```
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/sass/doc/sass.html
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/sass/doc/sass.html	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/sass/doc/sass.html	(revision 3761)
@@ -0,0 +1,922 @@
+<!DOCTYPE html>
+
+<html>
+
+<head>
+
+<meta charset="utf-8" />
+<meta name="generator" content="pandoc" />
+<meta http-equiv="X-UA-Compatible" content="IE=EDGE" />
+
+<meta name="viewport" content="width=device-width, initial-scale=1" />
+
+<meta name="author" content="Carson Sievert" />
+
+<meta name="date" content="2023-01-23" />
+
+<title>Overview of the sass R package</title>
+
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+pre.sourceCode { margin: 0; }
+@media screen {
+div.sourceCode { overflow: auto; }
+}
+@media print {
+pre > code.sourceCode { white-space: pre-wrap; }
+pre > code.sourceCode > span { text-indent: -5em; padding-left: 5em; }
+}
+pre.numberSource code
+{ counter-reset: source-line 0; }
+pre.numberSource code > span
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+pre.numberSource code > span > a:first-child::before
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+position: relative; left: -1em; text-align: right; vertical-align: baseline;
+border: none; display: inline-block;
+-webkit-touch-callout: none; -webkit-user-select: none;
+-khtml-user-select: none; -moz-user-select: none;
+-ms-user-select: none; user-select: none;
+padding: 0 4px; width: 4em;
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+}
+pre.numberSource { margin-left: 3em; border-left: 1px solid #aaaaaa; padding-left: 4px; }
+div.sourceCode
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+pre > code.sourceCode > span > a:first-child::before { text-decoration: underline; }
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+code span.wa { color: #60a0b0; font-weight: bold; font-style: italic; } 
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+    }
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+margin: 28px 0;
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+}
+dl dt {
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+}
+ul {
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+}
+ul li {
+list-style: circle outside;
+}
+ul ul {
+margin-bottom: 0;
+}
+pre, code {
+background-color: #f7f7f7;
+border-radius: 3px;
+color: #333;
+white-space: pre-wrap; 
+}
+pre {
+border-radius: 3px;
+margin: 5px 0px 10px 0px;
+padding: 10px;
+}
+pre:not([class]) {
+background-color: #f7f7f7;
+}
+code {
+font-family: Consolas, Monaco, 'Courier New', monospace;
+font-size: 85%;
+}
+p > code, li > code {
+padding: 2px 0px;
+}
+div.figure {
+text-align: center;
+}
+img {
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+padding: 2px;
+border: 1px solid #DDDDDD;
+border-radius: 3px;
+border: 1px solid #CCCCCC;
+margin: 0 5px;
+}
+h1 {
+margin-top: 0;
+font-size: 35px;
+line-height: 40px;
+}
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+padding-top: 10px;
+padding-bottom: 2px;
+font-size: 145%;
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+padding-top: 10px;
+font-size: 120%;
+}
+h4 {
+border-bottom: 1px solid #f7f7f7;
+margin-left: 8px;
+font-size: 105%;
+}
+h5, h6 {
+border-bottom: 1px solid #ccc;
+font-size: 105%;
+}
+a {
+color: #0033dd;
+text-decoration: none;
+}
+a:hover {
+color: #6666ff; }
+a:visited {
+color: #800080; }
+a:visited:hover {
+color: #BB00BB; }
+a[href^="http:"] {
+text-decoration: underline; }
+a[href^="https:"] {
+text-decoration: underline; }
+
+code > span.kw { color: #555; font-weight: bold; } 
+code > span.dt { color: #902000; } 
+code > span.dv { color: #40a070; } 
+code > span.bn { color: #d14; } 
+code > span.fl { color: #d14; } 
+code > span.ch { color: #d14; } 
+code > span.st { color: #d14; } 
+code > span.co { color: #888888; font-style: italic; } 
+code > span.ot { color: #007020; } 
+code > span.al { color: #ff0000; font-weight: bold; } 
+code > span.fu { color: #900; font-weight: bold; } 
+code > span.er { color: #a61717; background-color: #e3d2d2; } 
+</style>
+
+
+
+
+</head>
+
+<body>
+
+
+
+
+<h1 class="title toc-ignore">Overview of the sass R package</h1>
+<h4 class="author">Carson Sievert</h4>
+<h4 class="date">2023-01-23</h4>
+
+
+
+<style>
+pre {
+border: 1px solid #eee;
+}
+pre.r {
+background-color: #ffffff;
+margin-bottom: -0.5em;
+}
+pre.r code {
+background-color: #ffffff;
+}
+pre.css {
+background-color: #f8f8f8;
+border-radius: 0;
+border-bottom-left-radius: 4px;
+border-bottom-right-radius: 4px;
+}
+</style>
+<div id="why" class="section level2">
+<h2>Why Sass?</h2>
+<p><a href="https://sass-lang.com/">Sass</a> is the most widely used,
+feature rich, and stable CSS extension language available. It has become
+an essential tool in modern web development because of its ability to
+<em>reduce complexity</em> and <em>increase composability</em> when
+styling a website. For a basic example, suppose you want to use the same
+color for multiple styling rules in your website (e.g., hyperlinks and
+buttons). With CSS, youâ€™d have to repeat that color every time it is
+used in styling rule, so in a large project, changing at a later point
+can be tedious and error-prone.</p>
+<div class="sourceCode" id="cb1"><pre class="sourceCode css"><code class="sourceCode css"><span id="cb1-1"><a href="#cb1-1" aria-hidden="true" tabindex="-1"></a>a {</span>
+<span id="cb1-2"><a href="#cb1-2" aria-hidden="true" tabindex="-1"></a>  <span class="kw">color</span>: <span class="cn">salmon</span><span class="op">;</span></span>
+<span id="cb1-3"><a href="#cb1-3" aria-hidden="true" tabindex="-1"></a>}</span>
+<span id="cb1-4"><a href="#cb1-4" aria-hidden="true" tabindex="-1"></a>button {</span>
+<span id="cb1-5"><a href="#cb1-5" aria-hidden="true" tabindex="-1"></a>  <span class="kw">background-color</span>: <span class="cn">salmon</span><span class="op">;</span></span>
+<span id="cb1-6"><a href="#cb1-6" aria-hidden="true" tabindex="-1"></a>}</span></code></pre></div>
+<p>With Sass, you could store this color in a Sass variable and use it
+in the styling rules to produce the same CSS, resulting in a single
+entry point for the colorâ€™s value. This simple Sass tool can make CSS
+styling a lot easier to reason about, making styles a lot easier to
+customize and maintain.</p>
+<div class="sourceCode" id="cb2"><pre class="sourceCode css"><code class="sourceCode css"><span id="cb2-1"><a href="#cb2-1" aria-hidden="true" tabindex="-1"></a>$main-color<span class="in">: salmon</span>;</span>
+<span id="cb2-2"><a href="#cb2-2" aria-hidden="true" tabindex="-1"></a>a {</span>
+<span id="cb2-3"><a href="#cb2-3" aria-hidden="true" tabindex="-1"></a>  <span class="kw">color</span>: $main-color<span class="op">;</span></span>
+<span id="cb2-4"><a href="#cb2-4" aria-hidden="true" tabindex="-1"></a>}</span>
+<span id="cb2-5"><a href="#cb2-5" aria-hidden="true" tabindex="-1"></a>button {</span>
+<span id="cb2-6"><a href="#cb2-6" aria-hidden="true" tabindex="-1"></a>  <span class="kw">background-color</span>: $main-color<span class="op">;</span></span>
+<span id="cb2-7"><a href="#cb2-7" aria-hidden="true" tabindex="-1"></a>}</span></code></pre></div>
+<p>Sass variables are not the only Sass tool useful for reducing
+complexity. For Sass and <strong>sass</strong> newcomers, this vignette
+first covers how to use basic Sass tools like <a href="#variables">variables</a>, <a href="#mixins">mixins</a>, and <a href="#functions">functions</a> in the <strong>sass</strong> R package.
+After the basics, youâ€™ll also learn how to write <a href="#layering">composable <strong>sass</strong></a> that allows users
+to easily override your styling defaults and developers to <a href="#includes">include</a> your Sass in their styling projects. Youâ€™ll
+also learn how to control the CSS output (e.g., <a href="#compression">compress</a> and <a href="#caching">cache</a> it),
+and how to use it in <a href="#shiny"><strong>shiny</strong></a> &amp;
+<a href="#rmarkdown"><strong>rmarkdown</strong></a>.</p>
+<p>By mastering these concepts, youâ€™ll not only be able to leverage the
+advantages of using Sass over CSS, but youâ€™ll also have the basis needed
+to develop R interfaces to Sass projects that allow users to easily
+customize your styling templates <em>without any knowledge of
+Sass/CSS</em>. For an example, see the <a href="https://github.com/rstudio/bslib"><strong>bslib</strong> R
+package</a>, which provides a interface to <a href="https://getbootstrap.com/docs/4.0/getting-started/theming/">Bootstrap
+Sass</a> through easy-to-use functions like
+<code>bs_theme_add_variables()</code>.</p>
+</div>
+<div id="basics" class="section level2">
+<h2>Sass Basics</h2>
+<div id="variables" class="section level3">
+<h3>Variables</h3>
+<p><a href="https://sass-lang.com/guide#topic-2">Sass variables</a> are
+a great mechanism for simplifying and exposing CSS logic to users. To
+create a variable, assign a value (likely a CSS <a href="https://developer.mozilla.org/en-US/docs/Learn/Getting_started_with_the_web/CSS_basics">property
+value</a>) to a name, then refer to it by name in downstream Sass code.
+In this minimal example, we create a <code>body-bg</code> variable then
+use it to generate a single <a href="https://sass-lang.com/documentation//style-rules">style rule</a>,
+but as weâ€™ll see later, variables can also be used inside of other
+arbitrary Sass code (e.g., functions, mixins, etc).</p>
+<div class="sourceCode" id="cb3"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb3-1"><a href="#cb3-1" aria-hidden="true" tabindex="-1"></a><span class="fu">library</span>(sass)</span>
+<span id="cb3-2"><a href="#cb3-2" aria-hidden="true" tabindex="-1"></a>variable <span class="ot">&lt;-</span> <span class="st">&quot;$body-bg: red;&quot;</span></span>
+<span id="cb3-3"><a href="#cb3-3" aria-hidden="true" tabindex="-1"></a>rule <span class="ot">&lt;-</span> <span class="st">&quot;body { background-color: $body-bg; }&quot;</span></span>
+<span id="cb3-4"><a href="#cb3-4" aria-hidden="true" tabindex="-1"></a><span class="fu">sass</span>(<span class="at">input =</span> <span class="fu">list</span>(variable, rule))</span></code></pre></div>
+<div class="sourceCode" id="cb4"><pre class="sourceCode css"><code class="sourceCode css"><span id="cb4-1"><a href="#cb4-1" aria-hidden="true" tabindex="-1"></a><span class="co">/* CSS */</span></span>
+<span id="cb4-2"><a href="#cb4-2" aria-hidden="true" tabindex="-1"></a>body { </span>
+<span id="cb4-3"><a href="#cb4-3" aria-hidden="true" tabindex="-1"></a>  <span class="kw">background-color</span>: <span class="cn">red</span><span class="op">;</span></span>
+<span id="cb4-4"><a href="#cb4-4" aria-hidden="true" tabindex="-1"></a>}</span></code></pre></div>
+<p>A more convenient and readable way to create Sass variables in R is
+to use a named <code>list()</code>. Also, itâ€™s a good idea to add the
+<code>!default</code> flag after the value since it provides users of
+your Sass an opportunity to set their own value. Weâ€™ll learn more about
+defaults in <a href="#layering">layering</a>, but for now, just note
+that the <code>!default</code> flag says use this value only if that
+variable isnâ€™t already defined:</p>
+<div class="sourceCode" id="cb5"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb5-1"><a href="#cb5-1" aria-hidden="true" tabindex="-1"></a>user_default <span class="ot">&lt;-</span> <span class="fu">list</span>(<span class="st">&quot;body-bg&quot;</span> <span class="ot">=</span> <span class="st">&quot;blue !default&quot;</span>)</span>
+<span id="cb5-2"><a href="#cb5-2" aria-hidden="true" tabindex="-1"></a>default <span class="ot">&lt;-</span> <span class="fu">list</span>(<span class="st">&quot;body-bg&quot;</span> <span class="ot">=</span> <span class="st">&quot;red !default&quot;</span>)</span>
+<span id="cb5-3"><a href="#cb5-3" aria-hidden="true" tabindex="-1"></a><span class="fu">sass</span>(<span class="at">input =</span> <span class="fu">list</span>(user_default, default, rule))</span></code></pre></div>
+<div class="sourceCode" id="cb6"><pre class="sourceCode css"><code class="sourceCode css"><span id="cb6-1"><a href="#cb6-1" aria-hidden="true" tabindex="-1"></a><span class="co">/* CSS */</span></span>
+<span id="cb6-2"><a href="#cb6-2" aria-hidden="true" tabindex="-1"></a>body { </span>
+<span id="cb6-3"><a href="#cb6-3" aria-hidden="true" tabindex="-1"></a>  <span class="kw">background-color</span>: <span class="cn">blue</span><span class="op">;</span></span>
+<span id="cb6-4"><a href="#cb6-4" aria-hidden="true" tabindex="-1"></a>}</span></code></pre></div>
+</div>
+<div id="functions" class="section level3">
+<h3>Functions</h3>
+<p>Sass comes with a variety of <a href="https://sass-lang.com/documentation//modules">built-in
+functions</a> (i.e., you donâ€™t have to <a href="#imports">import</a>
+anything to start using them) which are useful for working with CSS
+values (<a href="https://sass-lang.com/documentation//modules/color">colors</a>, <a href="https://sass-lang.com/documentation//modules/math">numbers</a>, <a href="https://sass-lang.com/documentation//modules/string">strings</a>,
+etc). These built-in functions are primarily useful modifying or
+combining CSS values in such a way that isnâ€™t possible with CSS. Here we
+use the <code>rgba()</code> to add alpha blending to <code>black</code>
+and assign the result to a variable.<a href="#fn1" class="footnote-ref" id="fnref1"><sup>1</sup></a></p>
+<div class="sourceCode" id="cb7"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb7-1"><a href="#cb7-1" aria-hidden="true" tabindex="-1"></a>variable <span class="ot">&lt;-</span> <span class="fu">list</span>(<span class="st">&quot;body-bg&quot;</span> <span class="ot">=</span> <span class="st">&quot;rgba(black, 0.8)&quot;</span>)</span>
+<span id="cb7-2"><a href="#cb7-2" aria-hidden="true" tabindex="-1"></a><span class="fu">sass</span>(<span class="at">input =</span> <span class="fu">list</span>(variable, rule))</span></code></pre></div>
+<div class="sourceCode" id="cb8"><pre class="sourceCode css"><code class="sourceCode css"><span id="cb8-1"><a href="#cb8-1" aria-hidden="true" tabindex="-1"></a><span class="co">/* CSS */</span></span>
+<span id="cb8-2"><a href="#cb8-2" aria-hidden="true" tabindex="-1"></a>body {</span>
+<span id="cb8-3"><a href="#cb8-3" aria-hidden="true" tabindex="-1"></a>  <span class="kw">background-color</span>: <span class="fu">rgba(</span><span class="dv">0</span><span class="op">,</span> <span class="dv">0</span><span class="op">,</span> <span class="dv">0</span><span class="op">,</span> <span class="dv">0.8</span><span class="fu">)</span><span class="op">;</span></span>
+<span id="cb8-4"><a href="#cb8-4" aria-hidden="true" tabindex="-1"></a>}</span></code></pre></div>
+<p>Sass also provides the ability to define your own functions through
+the <a href="https://sass-lang.com/documentation//at-rules/function"><code>@function</code>
+at-rule</a>. Like functions in most languages, there are four main
+components to a function definition: (1) the function <code>name</code>,
+(2) the function argument/inputs (e.g., <code>arg1</code>,
+<code>arg2</code>), (3) the function body which contains statements
+(i.e., <code>statement1</code>, <code>statement2</code>, etc.), and
+finally (4) a return <code>value</code>.</p>
+<div class="sourceCode" id="cb9"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb9-1"><a href="#cb9-1" aria-hidden="true" tabindex="-1"></a><span class="sc">@</span>function <span class="fu">name</span>(arg1, arg2) {</span>
+<span id="cb9-2"><a href="#cb9-2" aria-hidden="true" tabindex="-1"></a>  statement1;</span>
+<span id="cb9-3"><a href="#cb9-3" aria-hidden="true" tabindex="-1"></a>  statement2;</span>
+<span id="cb9-4"><a href="#cb9-4" aria-hidden="true" tabindex="-1"></a>  <span class="sc">@</span>return value;</span>
+<span id="cb9-5"><a href="#cb9-5" aria-hidden="true" tabindex="-1"></a>}</span></code></pre></div>
+<p><br></p>
+<p>For an example of where creating your function becomes useful,
+consider this <code>color-contrast()</code> function, inspired by <a href="https://stackoverflow.com/questions/3942878/how-to-decide-font-color-in-white-or-black-depending-on-background-color/3943023#3943023">this
+SO answer</a> to a common problem that arises when allowing users
+control over background color of something (e.g., the document body).
+Weâ€™d like to strive for styling rules that are smart enough to overlay
+white text on a dark colored background and black text on a light
+colored background. <code>color-contrast()</code> helps us achieve this
+since, given a dark color, it returns white; and given a light color, it
+returns black.</p>
+<div class="sourceCode" id="cb10"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb10-1"><a href="#cb10-1" aria-hidden="true" tabindex="-1"></a><span class="sc">@</span>function color<span class="sc">-</span><span class="fu">contrast</span>(<span class="sc">$</span>color) {</span>
+<span id="cb10-2"><a href="#cb10-2" aria-hidden="true" tabindex="-1"></a>  <span class="sc">@</span>return <span class="cf">if</span>(</span>
+<span id="cb10-3"><a href="#cb10-3" aria-hidden="true" tabindex="-1"></a>    <span class="fu">red</span>(<span class="sc">$</span>color) <span class="sc">*</span> <span class="fl">0.299</span> <span class="sc">+</span> <span class="fu">green</span>(<span class="sc">$</span>color) <span class="sc">*</span> <span class="fl">0.587</span> <span class="sc">+</span> <span class="fu">blue</span>(<span class="sc">$</span>color) <span class="sc">*</span> <span class="fl">0.114</span> <span class="sc">&gt;</span> <span class="dv">186</span>,</span>
+<span id="cb10-4"><a href="#cb10-4" aria-hidden="true" tabindex="-1"></a>    black, white</span>
+<span id="cb10-5"><a href="#cb10-5" aria-hidden="true" tabindex="-1"></a>  );</span>
+<span id="cb10-6"><a href="#cb10-6" aria-hidden="true" tabindex="-1"></a>}</span></code></pre></div>
+<p><br></p>
+<p>By saving this function to a file named
+<code>color-contrast.scss</code>, it can then be <a href="#imports">imported</a> and used in the following way. For a live
+example of this in action, consider <a href="https://gallery.shinyapps.io/sass-font/">this Shiny app</a> which
+allows the user to interactively choose a background color and the
+titleâ€™s font color automatically updates to an appropriate color
+contrast. <a href="#shiny-dynamic">See here</a> for more on allowing
+<strong>shiny</strong> users to influence styling on the page using
+<strong>sass</strong>.</p>
+<div class="sourceCode" id="cb11"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb11-1"><a href="#cb11-1" aria-hidden="true" tabindex="-1"></a><span class="fu">sass</span>(</span>
+<span id="cb11-2"><a href="#cb11-2" aria-hidden="true" tabindex="-1"></a>  <span class="fu">list</span>(</span>
+<span id="cb11-3"><a href="#cb11-3" aria-hidden="true" tabindex="-1"></a>    variable,</span>
+<span id="cb11-4"><a href="#cb11-4" aria-hidden="true" tabindex="-1"></a>    <span class="fu">sass_file</span>(<span class="st">&quot;color-contrast.scss&quot;</span>),</span>
+<span id="cb11-5"><a href="#cb11-5" aria-hidden="true" tabindex="-1"></a>    <span class="st">&quot;body {</span></span>
+<span id="cb11-6"><a href="#cb11-6" aria-hidden="true" tabindex="-1"></a><span class="st">      background-color: $body-bg;</span></span>
+<span id="cb11-7"><a href="#cb11-7" aria-hidden="true" tabindex="-1"></a><span class="st">      color: color-contrast($body-bg);</span></span>
+<span id="cb11-8"><a href="#cb11-8" aria-hidden="true" tabindex="-1"></a><span class="st">    }&quot;</span></span>
+<span id="cb11-9"><a href="#cb11-9" aria-hidden="true" tabindex="-1"></a>  )</span>
+<span id="cb11-10"><a href="#cb11-10" aria-hidden="true" tabindex="-1"></a>)</span></code></pre></div>
+<div class="sourceCode" id="cb12"><pre class="sourceCode css"><code class="sourceCode css"><span id="cb12-1"><a href="#cb12-1" aria-hidden="true" tabindex="-1"></a><span class="co">/* CSS */</span></span>
+<span id="cb12-2"><a href="#cb12-2" aria-hidden="true" tabindex="-1"></a>body {</span>
+<span id="cb12-3"><a href="#cb12-3" aria-hidden="true" tabindex="-1"></a>  <span class="kw">background-color</span>: <span class="fu">rgba(</span><span class="dv">0</span><span class="op">,</span> <span class="dv">0</span><span class="op">,</span> <span class="dv">0</span><span class="op">,</span> <span class="dv">0.8</span><span class="fu">)</span><span class="op">;</span></span>
+<span id="cb12-4"><a href="#cb12-4" aria-hidden="true" tabindex="-1"></a>  <span class="kw">color</span>: <span class="cn">white</span><span class="op">;</span></span>
+<span id="cb12-5"><a href="#cb12-5" aria-hidden="true" tabindex="-1"></a>}</span></code></pre></div>
+<p><strong>NOTE</strong>: <code>bslib::bs_theme()</code> provides itâ€™s
+own, more sophisticated, version of <code>color-contrast()</code> that
+you can use like so:
+<code>sass::sass_partial(&quot;body{color: color-contrast($body-bg)}&quot;, bs_theme())</code></p>
+</div>
+<div id="imports" class="section level3">
+<h3>Importing</h3>
+<p>In practice, youâ€™ll want to write your Sass code in
+<code>.scss</code> (<a href="https://sass-lang.com/documentation//syntax">or
+<code>.sass</code></a>) files (instead of inside R strings). That way
+you can leverage things like syntax highlighting in RStudio (or your
+favorite IDE) and make it easier for others to import your Sass into
+their workflow. For example, if I have <code>.scss</code> file in my
+working directory, say <code>my-style.scss</code>, I can compile it this
+way:</p>
+<div class="sourceCode" id="cb13"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb13-1"><a href="#cb13-1" aria-hidden="true" tabindex="-1"></a><span class="fu">sass</span>(<span class="fu">sass_file</span>(<span class="st">&quot;my-style.scss&quot;</span>))</span></code></pre></div>
+<p><img 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" width="50%" style="display: block; margin: auto;" /></p>
+<div class="sourceCode" id="cb14"><pre class="sourceCode css"><code class="sourceCode css"><span id="cb14-1"><a href="#cb14-1" aria-hidden="true" tabindex="-1"></a><span class="co">/* CSS */</span></span>
+<span id="cb14-2"><a href="#cb14-2" aria-hidden="true" tabindex="-1"></a>body {</span>
+<span id="cb14-3"><a href="#cb14-3" aria-hidden="true" tabindex="-1"></a>  <span class="kw">background-color</span>: <span class="fu">rgba(</span><span class="dv">0</span><span class="op">,</span> <span class="dv">0</span><span class="op">,</span> <span class="dv">0</span><span class="op">,</span> <span class="dv">0.8</span><span class="fu">)</span><span class="op">;</span></span>
+<span id="cb14-4"><a href="#cb14-4" aria-hidden="true" tabindex="-1"></a>}</span></code></pre></div>
+<p>This works because <code>sass_file()</code> uses
+<code>sass_import()</code> to generate an <code>@import</code> at-rule.
+If you visit the <a href="https://sass-lang.com/documentation//at-rules/import">docs for
+<code>@import</code></a>, youâ€™ll notice thereâ€™s more you can do that
+import local <code>.scss</code>, like import local or remote
+<code>.css</code> files, import font files, and more. Note also that
+<code>{sass}</code> also provides tools that make importing of local
+font files easier â€“ see <code>font_google()</code> to learn more.</p>
+</div>
+</div>
+<div id="file-import" class="section level2">
+<h2>Font imports</h2>
+<p>Importing font file(s) directly in Sass/CSS/HTML can be a headache to
+implement. This is especially true if you want to serve font files so
+that a custom font renders on any client machine, even if the client is
+without an internet connection. To make this easier, <code>{sass}</code>
+provides a <code>font_google()</code> which can be used to download,
+cache, import, and serve the relevant font files all at once.</p>
+<div class="sourceCode" id="cb15"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb15-1"><a href="#cb15-1" aria-hidden="true" tabindex="-1"></a><span class="fu">library</span>(htmltools)</span>
+<span id="cb15-2"><a href="#cb15-2" aria-hidden="true" tabindex="-1"></a></span>
+<span id="cb15-3"><a href="#cb15-3" aria-hidden="true" tabindex="-1"></a>my_font <span class="ot">&lt;-</span> <span class="fu">list</span>(<span class="st">&quot;my-font&quot;</span> <span class="ot">=</span> <span class="fu">font_google</span>(<span class="st">&quot;Pacifico&quot;</span>))</span>
+<span id="cb15-4"><a href="#cb15-4" aria-hidden="true" tabindex="-1"></a>css <span class="ot">&lt;-</span> <span class="fu">sass</span>(</span>
+<span id="cb15-5"><a href="#cb15-5" aria-hidden="true" tabindex="-1"></a>  <span class="fu">list</span>(</span>
+<span id="cb15-6"><a href="#cb15-6" aria-hidden="true" tabindex="-1"></a>    my_font,</span>
+<span id="cb15-7"><a href="#cb15-7" aria-hidden="true" tabindex="-1"></a>    <span class="fu">list</span>(<span class="st">&quot;body {font-family: $my-font}&quot;</span>)</span>
+<span id="cb15-8"><a href="#cb15-8" aria-hidden="true" tabindex="-1"></a>  )</span>
+<span id="cb15-9"><a href="#cb15-9" aria-hidden="true" tabindex="-1"></a>)</span>
+<span id="cb15-10"><a href="#cb15-10" aria-hidden="true" tabindex="-1"></a></span>
+<span id="cb15-11"><a href="#cb15-11" aria-hidden="true" tabindex="-1"></a><span class="fu">shinyApp</span>(</span>
+<span id="cb15-12"><a href="#cb15-12" aria-hidden="true" tabindex="-1"></a>  <span class="fu">fluidPage</span>(</span>
+<span id="cb15-13"><a href="#cb15-13" aria-hidden="true" tabindex="-1"></a>    <span class="st">&quot;Hello&quot;</span>,</span>
+<span id="cb15-14"><a href="#cb15-14" aria-hidden="true" tabindex="-1"></a>    tags<span class="sc">$</span><span class="fu">style</span>(css)</span>
+<span id="cb15-15"><a href="#cb15-15" aria-hidden="true" tabindex="-1"></a>  ), </span>
+<span id="cb15-16"><a href="#cb15-16" aria-hidden="true" tabindex="-1"></a>  <span class="cf">function</span>(...) {}</span>
+<span id="cb15-17"><a href="#cb15-17" aria-hidden="true" tabindex="-1"></a>)</span></code></pre></div>
+<p><img src="data:image/png;base64,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" width="30%" style="display: block; margin: auto;" /></p>
+<p>To import non-Google fonts, use either <code>font_link()</code> or
+<code>font_face()</code>. The former is for importing fonts via a remote
+URL whereas the former could be use to import any font locally (or
+remotely).</p>
+<div id="mixins" class="section level3">
+<h3>Mixins</h3>
+<p>Similar to how functions are useful for encapsulating
+<em>computation</em> in a reusable unit, <a href="https://sass-lang.com/documentation//at-rules/mixin">mixins</a>
+are useful for doing the same with <em>styling rules</em> (i.e.,
+packaging them into a reusable unit). Technically speaking, mixins are
+similar to functions in that they require a <code>name</code>, may have
+arguments, as well as any number of statements. However, they differ in
+that they require the return value to be a <a href="https://sass-lang.com/documentation//style-rules">style rule</a>,
+and when called, need to be <code>@include</code>d in a larger style
+rule in order to generate any CSS.</p>
+<p>For some examples, please see the <a href="https://sass-lang.com/documentation//at-rules/mixin">Sass mixin
+documentation</a>.</p>
+</div>
+<div id="more-basics" class="section level3">
+<h3>More basics</h3>
+<p>This vignette intentionally doesnâ€™t try to re-invent the existing and
+wonderful <a href="https://sass-lang.com/documentation/">Sass
+documentation</a>. There youâ€™ll find many more useful things as you
+start to write more Sass, such as <a href="https://sass-lang.com/documentation//at-rules/control">control
+flow</a>, <a href="https://sass-lang.com/documentation//values/lists">lists</a>, <a href="https://sass-lang.com/documentation//values/maps">maps</a>, <a href="https://sass-lang.com/documentation//interpolation">interpolation</a>,
+and more.</p>
+</div>
+</div>
+<div id="layering" class="section level2">
+<h2>Composable sass</h2>
+<p>To make Sass code more composable with other Sass code (e.g.,
+allowing others to change your variable defaults or import a function or
+mixin youâ€™ve defined), consider partitioning your Sass code into a
+<code>sass::sass_layer()</code>. The main idea is to split your Sass
+into 4 parts: <a href="#functions"><code>functions</code></a>,
+<code>defaults</code> (i.e.Â <a href="#variables">variable defaults</a>),
+<a href="#mixins"><code>mixins</code></a>, and <code>rules</code> (i.e.,
+styling rules).</p>
+<div class="sourceCode" id="cb16"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb16-1"><a href="#cb16-1" aria-hidden="true" tabindex="-1"></a>layer1 <span class="ot">&lt;-</span> <span class="fu">sass_layer</span>(</span>
+<span id="cb16-2"><a href="#cb16-2" aria-hidden="true" tabindex="-1"></a>  <span class="at">functions =</span> <span class="fu">sass_file</span>(<span class="st">&quot;color-contrast.scss&quot;</span>),</span>
+<span id="cb16-3"><a href="#cb16-3" aria-hidden="true" tabindex="-1"></a>  <span class="at">defaults =</span> <span class="fu">list</span>(<span class="st">&quot;body-bg&quot;</span> <span class="ot">=</span> <span class="st">&quot;black !default&quot;</span>),</span>
+<span id="cb16-4"><a href="#cb16-4" aria-hidden="true" tabindex="-1"></a>  <span class="at">rules =</span> <span class="st">&quot;body{background-color: $body-bg; color: color-contrast($body-bg)}&quot;</span></span>
+<span id="cb16-5"><a href="#cb16-5" aria-hidden="true" tabindex="-1"></a>)</span>
+<span id="cb16-6"><a href="#cb16-6" aria-hidden="true" tabindex="-1"></a><span class="fu">as_sass</span>(layer1)</span></code></pre></div>
+<div class="sourceCode" id="cb17"><pre class="sourceCode css"><code class="sourceCode css"><span id="cb17-1"><a href="#cb17-1" aria-hidden="true" tabindex="-1"></a><span class="co">/* CSS */</span></span>
+<span id="cb17-2"><a href="#cb17-2" aria-hidden="true" tabindex="-1"></a>body {</span>
+<span id="cb17-3"><a href="#cb17-3" aria-hidden="true" tabindex="-1"></a>  <span class="kw">background-color</span>: <span class="cn">black</span><span class="op">;</span></span>
+<span id="cb17-4"><a href="#cb17-4" aria-hidden="true" tabindex="-1"></a>  <span class="kw">color</span>: <span class="cn">white</span><span class="op">;</span></span>
+<span id="cb17-5"><a href="#cb17-5" aria-hidden="true" tabindex="-1"></a>}</span></code></pre></div>
+<p>This allows downstream <code>sass_layer()</code>s to be
+<code>sass_bundle()</code>d into a single layer, where
+<code>defaults</code> in downstream layers are granted higher priority.
+More specifically, this means:</p>
+<ul>
+<li><code>defaults</code> for <code>layer2</code> are placed
+<em>before</em> <code>defaults</code> for <code>layer1</code>.
+<ul>
+<li>Allowing downstream Sass to override variable defaults in upstream
+Sass.</li>
+</ul></li>
+<li><code>rules</code> for <code>layer2</code> are placed <em>after</em>
+<code>rules</code> for <code>layer1</code>.
+<ul>
+<li>Allows downstream rules to take precedence over upstream rules (<a href="https://css-tricks.com/precedence-css-order-css-matters/">precedence</a>
+matters when there are multiple rules with the same level of <a href="https://css-tricks.com/specifics-on-css-specificity/">specificity</a>).</li>
+</ul></li>
+</ul>
+<div class="sourceCode" id="cb18"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb18-1"><a href="#cb18-1" aria-hidden="true" tabindex="-1"></a>layer2 <span class="ot">&lt;-</span> <span class="fu">sass_layer</span>(</span>
+<span id="cb18-2"><a href="#cb18-2" aria-hidden="true" tabindex="-1"></a>  <span class="at">defaults =</span> <span class="fu">list</span>(<span class="st">&quot;body-bg&quot;</span> <span class="ot">=</span> <span class="st">&quot;white !default&quot;</span>)</span>
+<span id="cb18-3"><a href="#cb18-3" aria-hidden="true" tabindex="-1"></a>)</span>
+<span id="cb18-4"><a href="#cb18-4" aria-hidden="true" tabindex="-1"></a><span class="fu">sass</span>(<span class="fu">sass_bundle</span>(layer1, layer2))</span></code></pre></div>
+<div class="sourceCode" id="cb19"><pre class="sourceCode css"><code class="sourceCode css"><span id="cb19-1"><a href="#cb19-1" aria-hidden="true" tabindex="-1"></a><span class="co">/* CSS */</span></span>
+<span id="cb19-2"><a href="#cb19-2" aria-hidden="true" tabindex="-1"></a>body {</span>
+<span id="cb19-3"><a href="#cb19-3" aria-hidden="true" tabindex="-1"></a>  <span class="kw">background-color</span>: <span class="cn">white</span><span class="op">;</span></span>
+<span id="cb19-4"><a href="#cb19-4" aria-hidden="true" tabindex="-1"></a>  <span class="kw">color</span>: <span class="cn">black</span><span class="op">;</span></span>
+<span id="cb19-5"><a href="#cb19-5" aria-hidden="true" tabindex="-1"></a>}</span></code></pre></div>
+<div id="imports-relative" class="section level3">
+<h3>Resolving relative imports</h3>
+<p>Another problem that <code>sass_layer()</code> helps solve is that
+sometimes your Sass code might want to <a href="#imports">import</a> a
+local file using a relative path that <em>you</em> know how to resolve,
+but not necessarily the person who eventually compiles your Sass. To
+solve this issue, provide a named character vector to
+<code>file_attachments</code>, pointing the relevant relative path(s) to
+the appropriate absolute path(s). Hereâ€™s a contrived example of how that
+might look (<a href="https://github.com/rstudio/bslib/blob/9c973e9/R/layers.R#L75-L77">hereâ€™s</a>
+a more real example of using it in an R package).</p>
+<div class="sourceCode" id="cb20"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb20-1"><a href="#cb20-1" aria-hidden="true" tabindex="-1"></a><span class="fu">sass_layer</span>(</span>
+<span id="cb20-2"><a href="#cb20-2" aria-hidden="true" tabindex="-1"></a>  <span class="at">declarations =</span> <span class="st">&quot;@import url(&#39;fonts/Source_Sans_Pro_300.ttf&#39;)&quot;</span>,</span>
+<span id="cb20-3"><a href="#cb20-3" aria-hidden="true" tabindex="-1"></a>  <span class="at">file_attachments =</span> <span class="fu">c</span>(</span>
+<span id="cb20-4"><a href="#cb20-4" aria-hidden="true" tabindex="-1"></a>    <span class="at">fonts =</span> <span class="st">&#39;/full/path/to/my/local/fonts&#39;</span></span>
+<span id="cb20-5"><a href="#cb20-5" aria-hidden="true" tabindex="-1"></a>  )</span>
+<span id="cb20-6"><a href="#cb20-6" aria-hidden="true" tabindex="-1"></a>)</span></code></pre></div>
+</div>
+<div id="html-dependencies" class="section level3">
+<h3>Attaching HTML dependencies</h3>
+<p>Another problem that <code>sass_layer()</code> helps solve is that
+sometimes you want to attach other HTML dependencies to your Sass/CSS
+(e.g., JavaScript, other CSS, etc). For this reason,
+<code>sass_layer()</code> has a <code>html_deps</code> argument to which
+you can provide <code>htmltools::htmlDependency()</code> objects.
+<code>sass()</code> preserves these, as well as any other HTML
+dependencies attached to itâ€™s input, by including them in the return
+value. This ensures that, when you include <code>sass()</code> in <a href="#rmarkdown"><strong>rmarkdown</strong></a> or <a href="#shiny-string"><strong>shiny</strong></a> those dependencies come
+along for the ride.</p>
+<p><strong>DISCLAIMER</strong>: If you want to use this feature
+<em>and</em> include <a href="#shiny-file">CSS as a file in shiny</a>,
+youâ€™ll need to call <code>htmltools::htmlDependencies()</code> on the
+return value of <code>sass()</code> to get the dependencies, then
+include them in your user interface definition.</p>
+</div>
+</div>
+<div id="options" class="section level2">
+<h2>CSS output options</h2>
+<p>The <code>sass()</code> function provides a few arguments for
+controlling the CSS output it generates, including <code>output</code>,
+<code>options</code>, and <code>cache_options</code>. The following
+covers some of the most important options available.</p>
+<div id="output-file" class="section level3">
+<h3>Output to a file</h3>
+<p>If the CSS generated from <code>sass()</code> can be useful in more
+than one place, consider writing it to a file (instead of returning it
+as a string). To write CSS to a file, give a suitable file path to
+<code>sass()</code>â€™s <code>output</code> argument.</p>
+<div class="sourceCode" id="cb21"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb21-1"><a href="#cb21-1" aria-hidden="true" tabindex="-1"></a><span class="fu">sass</span>(</span>
+<span id="cb21-2"><a href="#cb21-2" aria-hidden="true" tabindex="-1"></a>  <span class="fu">sass_file</span>(<span class="st">&quot;my-style.scss&quot;</span>),</span>
+<span id="cb21-3"><a href="#cb21-3" aria-hidden="true" tabindex="-1"></a>  <span class="at">output =</span> <span class="st">&quot;my-style.css&quot;</span></span>
+<span id="cb21-4"><a href="#cb21-4" aria-hidden="true" tabindex="-1"></a>)</span></code></pre></div>
+</div>
+<div id="compression" class="section level3">
+<h3>Compression</h3>
+<p>By default, <code>sass()</code> outputs <code>&#39;expanded&#39;</code> CSS
+meaning there are lots of white-space and line-breaks included to make
+it more readable by humans. Computers donâ€™t need all those unnecessary
+characters, so to speed up your page load time when you go to include
+the CSS in <a href="#shiny"><strong>shiny</strong></a> or <a href="#rmarkdown"><strong>rmarkdown</strong></a>, consider removing them
+altogether with <code>output_style = &quot;compressed&quot;</code>:</p>
+<div class="sourceCode" id="cb22"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb22-1"><a href="#cb22-1" aria-hidden="true" tabindex="-1"></a><span class="fu">sass</span>(</span>
+<span id="cb22-2"><a href="#cb22-2" aria-hidden="true" tabindex="-1"></a>  <span class="fu">sass_file</span>(<span class="st">&quot;my-style.scss&quot;</span>),</span>
+<span id="cb22-3"><a href="#cb22-3" aria-hidden="true" tabindex="-1"></a>  <span class="at">options =</span> <span class="fu">sass_options</span>(<span class="at">output_style =</span> <span class="st">&quot;compressed&quot;</span>)</span>
+<span id="cb22-4"><a href="#cb22-4" aria-hidden="true" tabindex="-1"></a>)</span></code></pre></div>
+</div>
+<div id="source-maps" class="section level3">
+<h3>Source maps</h3>
+<p>When compressing the CSS output, it can be useful to include a <a href="http://www.richfinelli.com/what-is-a-css-source-maps/">source
+map</a> so that itâ€™s easier to inspect the CSS from the website. The
+easiest way to include a source map is to set
+<code>source_map_embed = TRUE</code>:</p>
+<div class="sourceCode" id="cb23"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb23-1"><a href="#cb23-1" aria-hidden="true" tabindex="-1"></a><span class="fu">sass</span>(</span>
+<span id="cb23-2"><a href="#cb23-2" aria-hidden="true" tabindex="-1"></a>  <span class="fu">sass_file</span>(<span class="st">&quot;my-style.scss&quot;</span>),</span>
+<span id="cb23-3"><a href="#cb23-3" aria-hidden="true" tabindex="-1"></a>  <span class="at">options =</span> <span class="fu">sass_options</span>(</span>
+<span id="cb23-4"><a href="#cb23-4" aria-hidden="true" tabindex="-1"></a>    <span class="at">output_style =</span> <span class="st">&quot;compressed&quot;</span>,</span>
+<span id="cb23-5"><a href="#cb23-5" aria-hidden="true" tabindex="-1"></a>    <span class="at">source_map_embed =</span> <span class="cn">TRUE</span></span>
+<span id="cb23-6"><a href="#cb23-6" aria-hidden="true" tabindex="-1"></a>  )</span>
+<span id="cb23-7"><a href="#cb23-7" aria-hidden="true" tabindex="-1"></a>)</span></code></pre></div>
+</div>
+<div id="caching" class="section level3">
+<h3>Caching</h3>
+<p>Sometimes calling <code>sass()</code> can be computationally
+expensive, in which case, it can be useful to leverage its caching
+capability. Caching is enabled by default, unless Shinyâ€™s Developer Mode
+(<code>shiny::devmode()</code>) is enabled. To explicitly enable
+(disable), set <code>options(sass.cache = )</code> to <code>TRUE</code>
+(or <code>FALSE</code>):</p>
+<div class="sourceCode" id="cb24"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb24-1"><a href="#cb24-1" aria-hidden="true" tabindex="-1"></a>withr<span class="sc">::</span><span class="fu">with_options</span>(</span>
+<span id="cb24-2"><a href="#cb24-2" aria-hidden="true" tabindex="-1"></a>  <span class="fu">list</span>(<span class="at">sass.cache =</span> <span class="cn">TRUE</span>),</span>
+<span id="cb24-3"><a href="#cb24-3" aria-hidden="true" tabindex="-1"></a>  <span class="fu">sass</span>(<span class="fu">sass_file</span>(<span class="st">&quot;my-style.scss&quot;</span>))</span>
+<span id="cb24-4"><a href="#cb24-4" aria-hidden="true" tabindex="-1"></a>)</span></code></pre></div>
+<p>You can also configure the location, size, and age of file caching
+via <code>sass_file_cache()</code>, which can be passed directly to a
+<code>sass()</code> call:</p>
+<div class="sourceCode" id="cb25"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb25-1"><a href="#cb25-1" aria-hidden="true" tabindex="-1"></a><span class="fu">sass</span>(</span>
+<span id="cb25-2"><a href="#cb25-2" aria-hidden="true" tabindex="-1"></a>  <span class="fu">sass_file</span>(<span class="st">&quot;my-style.scss&quot;</span>),</span>
+<span id="cb25-3"><a href="#cb25-3" aria-hidden="true" tabindex="-1"></a>  <span class="at">cache =</span> <span class="fu">sass_file_cache</span>(<span class="fu">getwd</span>(), <span class="at">max_size =</span> <span class="dv">100</span> <span class="sc">*</span> <span class="dv">1024</span><span class="sc">^</span><span class="dv">2</span>)</span>
+<span id="cb25-4"><a href="#cb25-4" aria-hidden="true" tabindex="-1"></a>)</span></code></pre></div>
+<p>Or used with <code>sass_cache_set_dir()</code> to configure the file
+cache globally:</p>
+<div class="sourceCode" id="cb26"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb26-1"><a href="#cb26-1" aria-hidden="true" tabindex="-1"></a><span class="fu">sass_cache_set_dir</span>(<span class="fu">getwd</span>(), <span class="fu">sass_file_cache</span>(<span class="fu">getwd</span>(), <span class="at">max_size =</span> <span class="dv">100</span> <span class="sc">*</span> <span class="dv">1024</span><span class="sc">^</span><span class="dv">2</span>))</span></code></pre></div>
+<p>Note that the location of the file cache defaults to
+<code>sass_cache_context_dir()</code>, which depends on the context in
+which itâ€™s running. When inside a Shiny app, the cache location is
+relative to the appâ€™s directory so the cache can persist and be shared
+across R processes. Otherwise, the context directory is a OS and package
+specific caching directory.</p>
+</div>
+</div>
+<div id="shiny" class="section level2">
+<h2>In shiny</h2>
+<p>There are two basic approaches to including the CSS that
+<code>sass()</code> returns as HTML in your <strong>shiny</strong> app.
+If youâ€™re curious, the official <a href="https://shiny.rstudio.com/articles/css.html">shiny article on
+CSS</a> has more details with a couple different approaches. Regardless
+of the approach, consider leveraging <a href="#compression">compressing</a> and <a href="#caching">caching</a>
+the CSS output to make your app faster to load.</p>
+<div id="shiny-string" class="section level3">
+<h3>As a string</h3>
+<p>The character string that <code>sass()</code> returns is already
+marked as <code>HTML()</code><a href="#fn2" class="footnote-ref" id="fnref2"><sup>2</sup></a>, so to include it in your
+<strong>shiny</strong> app, wrap it in a <code>&lt;style&gt;</code> tag.
+Itâ€™s not necessary to place this tag in the <code>&lt;head&gt;</code> of
+the document, but itâ€™s good practice:</p>
+<div class="sourceCode" id="cb27"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb27-1"><a href="#cb27-1" aria-hidden="true" tabindex="-1"></a><span class="fu">library</span>(shiny)</span>
+<span id="cb27-2"><a href="#cb27-2" aria-hidden="true" tabindex="-1"></a>css <span class="ot">&lt;-</span> <span class="fu">sass</span>(<span class="fu">sass_file</span>(<span class="st">&quot;my-style.scss&quot;</span>))</span>
+<span id="cb27-3"><a href="#cb27-3" aria-hidden="true" tabindex="-1"></a><span class="fu">fluidPage</span>(</span>
+<span id="cb27-4"><a href="#cb27-4" aria-hidden="true" tabindex="-1"></a>  tags<span class="sc">$</span><span class="fu">head</span>(tags<span class="sc">$</span><span class="fu">style</span>(css),</span>
+<span id="cb27-5"><a href="#cb27-5" aria-hidden="true" tabindex="-1"></a>  ...</span>
+<span id="cb27-6"><a href="#cb27-6" aria-hidden="true" tabindex="-1"></a>)</span></code></pre></div>
+</div>
+<div id="shiny-file" class="section level3">
+<h3>As a file</h3>
+<p>To write CSS to a file, give a suitable file path to
+<code>sass()</code>â€™s <code>output</code> argument. Here we write to a
+specially named <code>www/</code> subdirectory so that
+<strong>shiny</strong> will automatically make those file(s) available
+to the web app.</p>
+<div class="sourceCode" id="cb28"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb28-1"><a href="#cb28-1" aria-hidden="true" tabindex="-1"></a><span class="fu">library</span>(shiny)</span>
+<span id="cb28-2"><a href="#cb28-2" aria-hidden="true" tabindex="-1"></a><span class="fu">sass</span>(</span>
+<span id="cb28-3"><a href="#cb28-3" aria-hidden="true" tabindex="-1"></a>  <span class="fu">sass_file</span>(<span class="st">&quot;my-style.scss&quot;</span>),</span>
+<span id="cb28-4"><a href="#cb28-4" aria-hidden="true" tabindex="-1"></a>  <span class="at">output =</span> <span class="st">&quot;www/my-style.css&quot;</span></span>
+<span id="cb28-5"><a href="#cb28-5" aria-hidden="true" tabindex="-1"></a>)</span>
+<span id="cb28-6"><a href="#cb28-6" aria-hidden="true" tabindex="-1"></a><span class="fu">fluidPage</span>(</span>
+<span id="cb28-7"><a href="#cb28-7" aria-hidden="true" tabindex="-1"></a>  tags<span class="sc">$</span><span class="fu">head</span>(</span>
+<span id="cb28-8"><a href="#cb28-8" aria-hidden="true" tabindex="-1"></a>    tags<span class="sc">$</span><span class="fu">link</span>(<span class="at">href =</span> <span class="st">&quot;my-style.css&quot;</span>, <span class="at">rel =</span> <span class="st">&quot;stylesheet&quot;</span>, <span class="at">type =</span> <span class="st">&quot;text/css&quot;</span>)</span>
+<span id="cb28-9"><a href="#cb28-9" aria-hidden="true" tabindex="-1"></a>  ),</span>
+<span id="cb28-10"><a href="#cb28-10" aria-hidden="true" tabindex="-1"></a>  ...</span>
+<span id="cb28-11"><a href="#cb28-11" aria-hidden="true" tabindex="-1"></a>)</span></code></pre></div>
+</div>
+<div id="shiny-dynamic" class="section level3">
+<h3>As a dynamic input</h3>
+<p>Sometimes itâ€™s useful to allow users of your <strong>shiny</strong>
+app to be able to influence your appâ€™s styling via
+<strong>shiny</strong> input(s). One way this can be done is via <a href="https://shiny.rstudio.com/articles/dynamic-ui.html">dynamic
+UI</a>, where you use <code>renderUI()</code>/<code>uiOutput()</code> to
+dynamically insert <a href="#shiny-string">CSS as an HTML string</a>
+whenever a relevant input changes. Be aware, however, that whenever you
+allow dynamic user input to generate <code>HTML()</code>, youâ€™re leaving
+yourself open to security vulnerabilites; so try to avoid it, and
+<em>never</em> allow clients to enter free form <code>textInput()</code>
+without any sort of sanitation of the user input.</p>
+<p>Consider this basic example of using a <code>colourInput()</code>
+widget (from the <strong>colourpicker</strong> package) to choose the
+bodyâ€™s background color, which triggers a call to
+<code>sass()</code>:</p>
+<div class="sourceCode" id="cb29"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb29-1"><a href="#cb29-1" aria-hidden="true" tabindex="-1"></a><span class="fu">library</span>(shiny)</span>
+<span id="cb29-2"><a href="#cb29-2" aria-hidden="true" tabindex="-1"></a></span>
+<span id="cb29-3"><a href="#cb29-3" aria-hidden="true" tabindex="-1"></a>ui <span class="ot">&lt;-</span> <span class="fu">fluidPage</span>(</span>
+<span id="cb29-4"><a href="#cb29-4" aria-hidden="true" tabindex="-1"></a>  <span class="fu">headerPanel</span>(<span class="st">&quot;Sass Color Example&quot;</span>),</span>
+<span id="cb29-5"><a href="#cb29-5" aria-hidden="true" tabindex="-1"></a>  colourpicker<span class="sc">::</span><span class="fu">colourInput</span>(<span class="st">&quot;color&quot;</span>, <span class="st">&quot;Background Color&quot;</span>, <span class="at">value =</span> <span class="st">&quot;#6498d2&quot;</span>, <span class="at">showColour =</span> <span class="st">&quot;text&quot;</span>),</span>
+<span id="cb29-6"><a href="#cb29-6" aria-hidden="true" tabindex="-1"></a>  <span class="fu">uiOutput</span>(<span class="st">&quot;sass&quot;</span>)</span>
+<span id="cb29-7"><a href="#cb29-7" aria-hidden="true" tabindex="-1"></a>)</span>
+<span id="cb29-8"><a href="#cb29-8" aria-hidden="true" tabindex="-1"></a></span>
+<span id="cb29-9"><a href="#cb29-9" aria-hidden="true" tabindex="-1"></a>server <span class="ot">&lt;-</span> <span class="cf">function</span>(input, output) {</span>
+<span id="cb29-10"><a href="#cb29-10" aria-hidden="true" tabindex="-1"></a>  output<span class="sc">$</span>sass <span class="ot">&lt;-</span> <span class="fu">renderUI</span>({</span>
+<span id="cb29-11"><a href="#cb29-11" aria-hidden="true" tabindex="-1"></a>    tags<span class="sc">$</span><span class="fu">head</span>(tags<span class="sc">$</span><span class="fu">style</span>(<span class="fu">css</span>()))</span>
+<span id="cb29-12"><a href="#cb29-12" aria-hidden="true" tabindex="-1"></a>  })</span>
+<span id="cb29-13"><a href="#cb29-13" aria-hidden="true" tabindex="-1"></a>  css <span class="ot">&lt;-</span> <span class="fu">reactive</span>({</span>
+<span id="cb29-14"><a href="#cb29-14" aria-hidden="true" tabindex="-1"></a>    sass<span class="sc">::</span><span class="fu">sass</span>(<span class="fu">list</span>(</span>
+<span id="cb29-15"><a href="#cb29-15" aria-hidden="true" tabindex="-1"></a>      <span class="fu">list</span>(<span class="at">color =</span> input<span class="sc">$</span>color),</span>
+<span id="cb29-16"><a href="#cb29-16" aria-hidden="true" tabindex="-1"></a>      <span class="st">&quot;body { background-color: $color; }&quot;</span></span>
+<span id="cb29-17"><a href="#cb29-17" aria-hidden="true" tabindex="-1"></a>    ))</span>
+<span id="cb29-18"><a href="#cb29-18" aria-hidden="true" tabindex="-1"></a>  })</span>
+<span id="cb29-19"><a href="#cb29-19" aria-hidden="true" tabindex="-1"></a>}</span>
+<span id="cb29-20"><a href="#cb29-20" aria-hidden="true" tabindex="-1"></a></span>
+<span id="cb29-21"><a href="#cb29-21" aria-hidden="true" tabindex="-1"></a><span class="fu">shinyApp</span>(ui, server)</span></code></pre></div>
+<p><br></p>
+<p><img 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" width="80%" style="display: block; margin: auto;" /></p>
+<p>Below are a few more sophisticated examples of dynamic input:</p>
+<ul>
+<li>Font Color
+<ul>
+<li><a href="https://gallery.shinyapps.io/sass-font" class="uri">https://gallery.shinyapps.io/sass-font</a></li>
+<li><code>shiny::runApp(system.file(&quot;sass-font&quot;, package = &quot;sass&quot;))</code></li>
+</ul></li>
+<li>Sizing
+<ul>
+<li><a href="https://gallery.shinyapps.io/sass-size" class="uri">https://gallery.shinyapps.io/sass-size</a></li>
+<li><code>shiny::runApp(system.file(&quot;sass-size&quot;, package = &quot;sass&quot;))</code></li>
+</ul></li>
+<li>Themes
+<ul>
+<li><a href="https://gallery.shinyapps.io/sass-theme" class="uri">https://gallery.shinyapps.io/sass-theme</a></li>
+<li><code>shiny::runApp(system.file(&quot;sass-theme&quot;, package = &quot;sass&quot;))</code></li>
+</ul></li>
+</ul>
+</div>
+</div>
+<div id="rmarkdown" class="section level2">
+<h2>In rmarkdown</h2>
+<p><strong>knitr</strong> <a href="https://github.com/yihui/knitr/pull/1666">recently gained</a> a
+Sass engine powered by the <strong>sass</strong> package. This means you
+can write Sass code directly into a code <code>sass</code> chunk and the
+resulting CSS will be included in the resulting document (The
+<code>echo = FALSE</code> prevents the Sass code from being shown in the
+resulting document).</p>
+<pre><code>```{sass, echo = FALSE}
+$body-bg: red;
+body{
+  background-color: $body-bg;
+}
+```</code></pre>
+<p>If you like to write R <strong>sass</strong> code instead, you can do
+that as well, and by default it works similarly to the <code>sass</code>
+engine (except that the sass-specific code chunk options will be
+ignored, but you can specify those <a href="#options">options</a> via
+<code>sass::sass()</code> instead).</p>
+<pre><code>```{r, echo = FALSE}
+sass(sass_file(&quot;my-style.scss&quot;))
+```</code></pre>
+<p>If syntax highlighting is enabled in your output document , itâ€™s also
+possible to display the generated CSS (instead of embedding it as HTML)
+with syntax highlighting by setting the code chunk options
+<code>class.output=&#39;css&#39;</code> and <code>comment=&#39;&#39;</code>.
+Unfortunately, for some output formats, like
+<code>rmarkdown::html_vignette()</code>, syntax hightlighting isnâ€™t
+supported, but for output formats like
+<code>rmarkdown::html_document()</code>, you can enable syntax
+highlighting by setting the <code>highlight</code> parameter to a
+non-default value (e.g., <code>tango</code>).</p>
+<pre><code>```{r, class.output=&#39;css&#39;, comment=&#39;&#39;}
+sass(sass_file(&quot;my-style.scss&quot;))
+```</code></pre>
+</div>
+<div class="footnotes footnotes-end-of-document">
+<hr />
+<ol>
+<li id="fn1"><p>Oh, by the way, the value of a variable may be an
+expression.<a href="#fnref1" class="footnote-back">â†©ï¸Ž</a></p></li>
+<li id="fn2"><p>Including <a href="#shiny-dynamic">dynamic user
+input</a> directly as <code>HTML()</code>, especially with free form
+inputs like <code>textInput()</code>, is a security vulnerability. Avoid
+it if you can.<a href="#fnref2" class="footnote-back">â†©ï¸Ž</a></p></li>
+</ol>
+</div>
+
+
+
+<!-- code folding -->
+
+
+<!-- dynamically load mathjax for compatibility with self-contained -->
+<script>
+  (function () {
+    var script = document.createElement("script");
+    script.type = "text/javascript";
+    script.src  = "https://mathjax.rstudio.com/latest/MathJax.js?config=TeX-AMS-MML_HTMLorMML";
+    document.getElementsByTagName("head")[0].appendChild(script);
+  })();
+</script>
+
+</body>
+</html>
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/sass/sass-theme/README.md
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/sass/sass-theme/README.md	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/sass/sass-theme/README.md	(revision 3761)
@@ -0,0 +1,3 @@
+This self contained example shows how to use the [sass](https://github.com/rstudio/sass) R package to generate CSS for multiple themes and dynamically create colors based off of an original theme color.  If a Shiny button is clicked, the javascript event is captured and the theme color is updated within the browser.  A Shiny server event is triggered in addition to changing the theme within browser.
+
+Original [article](http://www.sitepoint.com/dealing-color-schemes-sass/) and [demo](https://codepen.io/SitePoint/pen/czixa) by [Hugo Giraudel](https://codepen.io/HugoGiraudel).
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/sass/sass-theme/rsconnect/shinyapps.io/gallery/sass-theme.dcf
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/sass/sass-theme/rsconnect/shinyapps.io/gallery/sass-theme.dcf	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/sass/sass-theme/rsconnect/shinyapps.io/gallery/sass-theme.dcf	(revision 3761)
@@ -0,0 +1,12 @@
+name: sass-theme
+title: sass-theme
+username:
+account: gallery
+server: shinyapps.io
+hostUrl: https://api.shinyapps.io/v1
+appId: 429513
+bundleId: 1584213
+url: https://gallery.shinyapps.io/sass-theme/
+when: 1536859335.89206
+asMultiple: FALSE
+asStatic: FALSE
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/sass/sass-theme/app.R
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/sass/sass-theme/app.R	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/sass/sass-theme/app.R	(revision 3761)
@@ -0,0 +1,161 @@
+library(shiny)
+
+output_css <- "theme.css"
+scss <- "
+// Color themes
+$themes: (
+  default: #666,
+  banana: #f1c40f,
+  cherry: #c0392b,
+  blueberry: #8e44ad,
+  leaf: #27ae60,
+  nightsky: #2980b9
+);
+
+// Helper theme mixin
+// @param $name: name of the theme (HTML class)
+// @param $color: color of the theme
+@mixin theme($name, $color) {
+  .#{$name} {
+    .component{
+      border-color: darken($color, 10%);
+
+      h2 {
+        color: $color;
+      }
+
+      li {
+        background: lighten($color, 45%);
+      }
+    }
+
+  }
+
+  // matches button id: #default, #banana, #cherry, ...
+  ##{$name} {
+    background: $color;
+
+    // #banana:hover
+    &:hover {
+      background: darken($color, 10%);
+    }
+
+    // #banana[disabled]
+    &[disabled] {
+      background: desaturate($color, 40%);
+    }
+  }
+}
+
+// Including themes
+// By looping through the $themes map
+@each $key, $value in $themes {
+  @include theme($key, $value);
+}
+
+
+// Default styles
+.component {
+  background: #EFEFEF;
+  padding: 1em;
+  margin-bottom: 1em;
+  border-top: .5em solid;
+  ul {
+    list-style: none;
+    padding: 0;
+    overflow: hidden;
+  }
+  li {
+    float: left;
+    width: 24%;
+    height: 10em;
+    margin-right: 1%;
+  }
+}
+.controls > button {
+  border: none;
+  color: white;
+  padding: .5em;
+  border-radius: .15em;
+  font-weight: bold;
+  margin-bottom: .5em;
+}
+body {
+  padding: 1em;
+}
+* {
+  box-sizing: border-box;
+}
+"
+css_value <- sass::sass(scss)
+
+ui <- withTags(fluidPage(
+  # script to change the class in the browser
+  head(
+    # make sure to include the compiled css!
+    style(HTML(css_value)),
+
+    # watch for the button clicks to change the theme within the browser
+    script(HTML("
+// when the document is ready...
+$(function() {
+  // when a shiny input changes...
+  $(document).on('shiny:inputchanged', function(event) {
+    switch (event.name) {
+      // if the event name matches one of...
+      case 'default':
+      case 'banana':
+      case 'cherry':
+      case 'blueberry':
+      case 'leaf':
+      case 'nightsky':
+
+        $('.demo')                          // select the main body
+          .removeClass()                    // remove the class
+          .addClass('demo ' + event.name);  // add the themed class
+
+        $('.controls button').removeAttr('disabled'); // make all buttons active
+        $('#' + event.name).attr('disabled', true);   // disable the most recent button
+
+        break;
+    }
+  });
+});
+    "))
+  ),
+
+  div(class = "demo nightsky",
+    div(class = "component",
+      h2("Sass Color Themes"),
+      ul(
+        li(),
+        li(),
+        li(),
+        li()
+      )
+    )
+  ),
+  div(class = "controls",
+     actionButton("default", "Default"),
+     actionButton("banana", "Funny Banana"),
+     actionButton("cherry", "Hot Chery"),
+     actionButton("blueberry", "Deep Purple"),
+     actionButton("leaf", "Smooth Leaf"),
+     actionButton("nightsky", "Night sky", disabled = "true")
+  )
+))
+
+server <- function(input, output) {
+  hit <- function(button, name) {
+    if (button == 0) return()
+    cat("Button: '", name, "' was pressed! Value: ", button, "\n", sep = "")
+  }
+  observe({ hit(input$default, "Default") })
+  observe({ hit(input$banana, "Funny Banana") })
+  observe({ hit(input$cherry, "Hot Cherry") })
+  observe({ hit(input$blueberry, "Deep Purple") })
+  observe({ hit(input$leaf, "Smooth Leaf") })
+  observe({ hit(input$nightsky, "Night Sky") })
+}
+
+shinyApp(ui, server)
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/sass/sass-theme/DESCRIPTION
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/sass/sass-theme/DESCRIPTION	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/sass/sass-theme/DESCRIPTION	(revision 3761)
@@ -0,0 +1,7 @@
+Title: Sass CSS Theme
+Author: RStudio, Inc.
+AuthorUrl: http://www.rstudio.com/
+License: MIT
+DisplayMode: Showcase
+Tags: sass css javascript
+Type: Shiny
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/sass/sass-font/DESCRIPTION
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/sass/sass-font/DESCRIPTION	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/sass/sass-font/DESCRIPTION	(revision 3761)
@@ -0,0 +1,7 @@
+Title: Sass Font Example
+Author: RStudio, Inc.
+AuthorUrl: http://www.rstudio.com/
+License: MIT
+DisplayMode: Showcase
+Tags: sass css
+Type: Shiny
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/sass/sass-font/sass-font.scss
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/sass/sass-font/sass-font.scss	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/sass/sass-font/sass-font.scss	(revision 3761)
@@ -0,0 +1,17 @@
+body {
+  background-color: $color;
+}
+
+// https://stackoverflow.com/a/3943023/6637133
+@function font-color($color) {
+  @return if(
+    red($color) * 0.299 + green($color) * 0.587 + blue($color) * 0.114 > 186,
+    #000000, #ffffff
+  );
+}
+
+h1 {
+  color: if(
+    red($color) * 0.299 + green($color) * 0.587 + blue($color) * 0.114 > 186,
+    #000000, #ffffff);
+}
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/sass/sass-font/README.md
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/sass/sass-font/README.md	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/sass/sass-font/README.md	(revision 3761)
@@ -0,0 +1 @@
+This example shows how to use the [sass](https://github.com/rstudio/sass) R package to dynamically generate a stylesheet that changes the background color in a shiny app. The font color also depends on the background color, changing between black and white as necessary.
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/sass/sass-font/rsconnect/shinyapps.io/gallery/sass-font.dcf
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/sass/sass-font/rsconnect/shinyapps.io/gallery/sass-font.dcf	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/sass/sass-font/rsconnect/shinyapps.io/gallery/sass-font.dcf	(revision 3761)
@@ -0,0 +1,12 @@
+name: sass-font
+title: sass-font
+username:
+account: gallery
+server: shinyapps.io
+hostUrl: https://api.shinyapps.io/v1
+appId: 429503
+bundleId: 1585777
+url: https://gallery.shinyapps.io/sass-font/
+when: 1536936506.34148
+asMultiple: FALSE
+asStatic: FALSE
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/sass/sass-font/app.R
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/sass/sass-font/app.R	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/sass/sass-font/app.R	(revision 3761)
@@ -0,0 +1,63 @@
+library(shiny)
+library(sass)
+library(colourpicker)
+
+ui <- fluidPage(
+  headerPanel("Sass Font Example"),
+  uiOutput("sass"),
+
+  sidebarPanel(
+    colourInput("color", "Background Color", value = "#6498d2",
+                showColour = "text")
+  ),
+
+  mainPanel(
+    plotOutput("distPlot"),
+    br()
+  ),
+
+  column(6, verbatimTextOutput("scssTxt"), verbatimTextOutput("sassFile")),
+  column(6, verbatimTextOutput("cssTxt"))
+)
+
+server <- function(input, output) {
+  output$distPlot <- renderPlot({
+    hist(rnorm(500))
+  })
+
+  variables <- reactive({
+    list(
+      color = input$color
+    )
+  })
+
+  sass_input <- reactive({
+    list(
+      variables(),
+      sass_file("sass-font.scss")
+    )
+  })
+  compiled_css <- reactive({
+    sass(sass_input())
+  })
+
+  output$sass <- renderUI({
+    tags$head(tags$style(compiled_css()))
+  })
+
+  output$scssTxt <- renderText({
+    paste0("/* Sass */\n", as_sass(sass_input()))
+  })
+  output$sassFile <- renderText({
+    paste0(
+      "/* sass-font.scss */\n\n",
+      paste0(readLines("sass-font.scss"), collapse = "\n")
+    )
+  })
+
+  output$cssTxt <- renderText({
+    paste0("/* Compiled CSS */\n", compiled_css())
+  })
+}
+
+shinyApp(ui, server)
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/sass/examples/example-full.scss
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/sass/examples/example-full.scss	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/sass/examples/example-full.scss	(revision 3761)
@@ -0,0 +1,9 @@
+$bg: #333;
+$fg: white;
+$fontsize: 16px;
+
+body {
+  background-color: $bg;
+  color: $fg;
+  font-size: $fontsize;
+}
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/sass/examples/variables.scss
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/sass/examples/variables.scss	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/sass/examples/variables.scss	(revision 3761)
@@ -0,0 +1,3 @@
+$bg: #333;
+$fg: white;
+$fontsize: 16px;
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/sass/examples/rules.scss
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/sass/examples/rules.scss	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/sass/examples/rules.scss	(revision 3761)
@@ -0,0 +1,5 @@
+body {
+  background-color: $bg;
+  color: $fg;
+  font-size: $fontsize;
+}
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/sass/sass-size/sass-size.scss
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/sass/sass-size/sass-size.scss	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/sass/sass-size/sass-size.scss	(revision 3761)
@@ -0,0 +1,21 @@
+body {
+  background-color: $color;
+}
+
+// https://stackoverflow.com/a/3943023/6637133
+@function font-color($color) {
+  @return if(
+    red($color) * 0.299 + green($color) * 0.587 + blue($color) * 0.114 > 186,
+    #000000, #ffffff
+  );
+}
+
+h1 {
+  color: if(
+    red($color) * 0.299 + green($color) * 0.587 + blue($color) * 0.114 > 186,
+    #000000, #ffffff);
+}
+
+.shiny-plot-output {
+  max-width: percentage($width / 100);
+}
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/sass/sass-size/README.md
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/sass/sass-size/README.md	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/sass/sass-size/README.md	(revision 3761)
@@ -0,0 +1 @@
+This example shows how to use the [sass](https://github.com/rstudio/sass) R package to dynamically generate a stylesheet that changes the background and font color in a shiny app. The app also allows you to dynmically resize the plot width.
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/sass/sass-size/rsconnect/shinyapps.io/gallery/sass-size.dcf
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/sass/sass-size/rsconnect/shinyapps.io/gallery/sass-size.dcf	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/sass/sass-size/rsconnect/shinyapps.io/gallery/sass-size.dcf	(revision 3761)
@@ -0,0 +1,12 @@
+name: sass-size
+title: sass-size
+username:
+account: gallery
+server: shinyapps.io
+hostUrl: https://api.shinyapps.io/v1
+appId: 429512
+bundleId: 1585784
+url: https://gallery.shinyapps.io/sass-size/
+when: 1536936702.32887
+asMultiple: FALSE
+asStatic: FALSE
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/sass/sass-size/app.R
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/sass/sass-size/app.R	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/sass/sass-size/app.R	(revision 3761)
@@ -0,0 +1,66 @@
+library(shiny)
+library(sass)
+library(colourpicker)
+
+ui <- fluidPage(
+  headerPanel("Sass Size Example"),
+  uiOutput("sass"),
+
+  sidebarPanel(
+    sliderInput("width", "Image Percent of Screen",
+                min = 1, max = 100, value = 100),
+    colourInput("color", "Background Color", value = "#6498d2",
+                showColour = "text")
+  ),
+
+  mainPanel(
+    plotOutput("distPlot"),
+    br()
+  ),
+
+  column(6, verbatimTextOutput("scssTxt"), verbatimTextOutput("sassFile")),
+  column(6, verbatimTextOutput("cssTxt"))
+)
+
+server <- function(input, output) {
+  output$distPlot <- renderPlot({
+    hist(rnorm(500))
+  })
+
+  variables <- reactive({
+    list(
+      color = input$color,
+      width = input$width
+    )
+  })
+
+  sass_input <- reactive({
+    list(
+      variables(),
+      sass_file("sass-size.scss")
+    )
+  })
+  compiled_css <- reactive({
+    sass(sass_input())
+  })
+
+  output$sass <- renderUI({
+    tags$head(tags$style(compiled_css()))
+  })
+
+  output$scssTxt <- renderText({
+    paste0("/* Sass */\n", as_sass(sass_input()))
+  })
+  output$sassFile <- renderText({
+    paste0(
+      "/* sass-size.scss */\n\n",
+      paste0(readLines("sass-size.scss"), collapse = "\n")
+    )
+  })
+
+  output$cssTxt <- renderText({
+    paste0("/* Compiled CSS */\n", compiled_css())
+  })
+}
+
+shinyApp(ui, server)
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/sass/sass-size/DESCRIPTION
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/sass/sass-size/DESCRIPTION	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/sass/sass-size/DESCRIPTION	(revision 3761)
@@ -0,0 +1,7 @@
+Title: Sass Resize Example
+Author: RStudio, Inc.
+AuthorUrl: http://www.rstudio.com/
+License: MIT
+DisplayMode: Showcase
+Tags: sass css
+Type: Shiny
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/RcppEigen/include/unsupported/Eigen/CXX11/ThreadPool
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/RcppEigen/include/unsupported/Eigen/CXX11/ThreadPool	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/RcppEigen/include/unsupported/Eigen/CXX11/ThreadPool	(revision 3761)
@@ -0,0 +1,65 @@
+// This file is part of Eigen, a lightweight C++ template library
+// for linear algebra.
+//
+// Copyright (C) 2016 Benoit Steiner <benoit.steiner.goog@gmail.com>
+//
+// This Source Code Form is subject to the terms of the Mozilla
+// Public License v. 2.0. If a copy of the MPL was not distributed
+// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
+
+#ifndef EIGEN_CXX11_THREADPOOL_MODULE
+#define EIGEN_CXX11_THREADPOOL_MODULE
+
+#include "../../../Eigen/Core"
+
+#include <Eigen/src/Core/util/DisableStupidWarnings.h>
+
+/** \defgroup CXX11_ThreadPool_Module C++11 ThreadPool Module
+  *
+  * This module provides 2 threadpool implementations
+  *  - a simple reference implementation
+  *  - a faster non blocking implementation
+  *
+  * This module requires C++11.
+  *
+  * \code
+  * #include <Eigen/CXX11/ThreadPool>
+  * \endcode
+  */
+
+
+// The code depends on CXX11, so only include the module if the
+// compiler supports it.
+#if __cplusplus > 199711L || EIGEN_COMP_MSVC >= 1900
+#include <cstddef>
+#include <cstring>
+#include <stdint.h>
+#include <time.h>
+
+#include <vector>
+#include <atomic>
+#include <condition_variable>
+#include <deque>
+#include <mutex>
+#include <thread>
+#include <functional>
+#include <memory>
+
+#include "src/util/CXX11Meta.h"
+#include "src/util/MaxSizeVector.h"
+
+#include "src/ThreadPool/ThreadLocal.h"
+#include "src/ThreadPool/ThreadYield.h"
+#include "src/ThreadPool/EventCount.h"
+#include "src/ThreadPool/RunQueue.h"
+#include "src/ThreadPool/ThreadPoolInterface.h"
+#include "src/ThreadPool/ThreadEnvironment.h"
+#include "src/ThreadPool/SimpleThreadPool.h"
+#include "src/ThreadPool/NonBlockingThreadPool.h"
+
+#endif
+
+#include <Eigen/src/Core/util/ReenableStupidWarnings.h>
+
+#endif // EIGEN_CXX11_THREADPOOL_MODULE
+
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/RcppEigen/include/unsupported/Eigen/CXX11/TensorSymmetry
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/RcppEigen/include/unsupported/Eigen/CXX11/TensorSymmetry	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/RcppEigen/include/unsupported/Eigen/CXX11/TensorSymmetry	(revision 3761)
@@ -0,0 +1,42 @@
+// This file is part of Eigen, a lightweight C++ template library
+// for linear algebra.
+//
+// Copyright (C) 2013 Christian Seiler <christian@iwakd.de>
+//
+// This Source Code Form is subject to the terms of the Mozilla
+// Public License v. 2.0. If a copy of the MPL was not distributed
+// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
+
+#ifndef EIGEN_CXX11_TENSORSYMMETRY_MODULE
+#define EIGEN_CXX11_TENSORSYMMETRY_MODULE
+
+#include <unsupported/Eigen/CXX11/Tensor>
+
+#include <Eigen/src/Core/util/DisableStupidWarnings.h>
+
+#include "src/util/CXX11Meta.h"
+
+/** \defgroup CXX11_TensorSymmetry_Module Tensor Symmetry Module
+  *
+  * This module provides a classes that allow for the definition of
+  * symmetries w.r.t. tensor indices.
+  *
+  * Including this module will implicitly include the Tensor module.
+  *
+  * \code
+  * #include <Eigen/TensorSymmetry>
+  * \endcode
+  */
+
+#include "src/TensorSymmetry/util/TemplateGroupTheory.h"
+#include "src/TensorSymmetry/Symmetry.h"
+#include "src/TensorSymmetry/StaticSymmetry.h"
+#include "src/TensorSymmetry/DynamicSymmetry.h"
+
+#include <Eigen/src/Core/util/ReenableStupidWarnings.h>
+
+#endif // EIGEN_CXX11_TENSORSYMMETRY_MODULE
+
+/*
+ * kate: space-indent on; indent-width 2; mixedindent off; indent-mode cstyle;
+ */
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/RcppEigen/include/unsupported/Eigen/CXX11/Tensor
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/RcppEigen/include/unsupported/Eigen/CXX11/Tensor	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/RcppEigen/include/unsupported/Eigen/CXX11/Tensor	(revision 3761)
@@ -0,0 +1,154 @@
+// This file is part of Eigen, a lightweight C++ template library
+// for linear algebra.
+//
+// Copyright (C) 2014 Benoit Steiner <benoit.steiner.goog@gmail.com>
+// Copyright (C) 2013 Christian Seiler <christian@iwakd.de>
+//
+// This Source Code Form is subject to the terms of the Mozilla
+// Public License v. 2.0. If a copy of the MPL was not distributed
+// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
+
+//#ifndef EIGEN_CXX11_TENSOR_MODULE
+//#define EIGEN_CXX11_TENSOR_MODULE
+
+#include "../../../Eigen/Core"
+
+#ifdef EIGEN_USE_SYCL
+#undef min
+#undef max
+#undef isnan
+#undef isinf
+#undef isfinite
+#include <SYCL/sycl.hpp>
+#include <map>
+#include <memory>
+#include <utility>
+#endif
+
+#include <Eigen/src/Core/util/DisableStupidWarnings.h>
+
+#include "../SpecialFunctions"
+#include "src/util/CXX11Meta.h"
+#include "src/util/MaxSizeVector.h"
+
+/** \defgroup CXX11_Tensor_Module Tensor Module
+  *
+  * This module provides a Tensor class for storing arbitrarily indexed
+  * objects.
+  *
+  * \code
+  * #include <Eigen/CXX11/Tensor>
+  * \endcode
+  *
+  * Much of the documentation can be found \ref eigen_tensors "here".
+  */
+
+#include <cmath>
+#include <cstddef>
+#include <cstring>
+
+#ifdef _WIN32
+typedef __int16 int16_t;
+typedef unsigned __int16 uint16_t;
+typedef __int32 int32_t;
+typedef unsigned __int32 uint32_t;
+typedef __int64 int64_t;
+typedef unsigned __int64 uint64_t;
+#else
+#include <stdint.h>
+#endif
+
+#if __cplusplus > 199711 || EIGEN_COMP_MSVC >= 1900
+#include <random>
+#endif
+
+#ifdef _WIN32
+#include <windows.h>
+#elif defined(__APPLE__)
+#include <mach/mach_time.h>
+#else
+#include <time.h>
+#endif
+
+#ifdef EIGEN_USE_THREADS
+#include "ThreadPool"
+#endif
+
+#ifdef EIGEN_USE_GPU
+#include <iostream>
+#include <cuda_runtime.h>
+#if __cplusplus >= 201103L
+#include <atomic>
+#include <unistd.h>
+#endif
+#endif
+
+#include "src/Tensor/TensorMacros.h"
+#include "src/Tensor/TensorForwardDeclarations.h"
+#include "src/Tensor/TensorMeta.h"
+#include "src/Tensor/TensorFunctors.h"
+#include "src/Tensor/TensorCostModel.h"
+#include "src/Tensor/TensorDeviceDefault.h"
+#include "src/Tensor/TensorDeviceThreadPool.h"
+#include "src/Tensor/TensorDeviceCuda.h"
+#include "src/Tensor/TensorDeviceSycl.h"
+#include "src/Tensor/TensorIndexList.h"
+#include "src/Tensor/TensorDimensionList.h"
+#include "src/Tensor/TensorDimensions.h"
+#include "src/Tensor/TensorInitializer.h"
+#include "src/Tensor/TensorTraits.h"
+#include "src/Tensor/TensorRandom.h"
+#include "src/Tensor/TensorUInt128.h"
+#include "src/Tensor/TensorIntDiv.h"
+#include "src/Tensor/TensorGlobalFunctions.h"
+
+#include "src/Tensor/TensorBase.h"
+
+#include "src/Tensor/TensorEvaluator.h"
+#include "src/Tensor/TensorExpr.h"
+#include "src/Tensor/TensorReduction.h"
+#include "src/Tensor/TensorReductionCuda.h"
+#include "src/Tensor/TensorArgMax.h"
+#include "src/Tensor/TensorConcatenation.h"
+#include "src/Tensor/TensorContractionMapper.h"
+#include "src/Tensor/TensorContractionBlocking.h"
+#include "src/Tensor/TensorContraction.h"
+#include "src/Tensor/TensorContractionThreadPool.h"
+#include "src/Tensor/TensorContractionCuda.h"
+#include "src/Tensor/TensorConversion.h"
+#include "src/Tensor/TensorConvolution.h"
+#include "src/Tensor/TensorFFT.h"
+#include "src/Tensor/TensorPatch.h"
+#include "src/Tensor/TensorImagePatch.h"
+#include "src/Tensor/TensorVolumePatch.h"
+#include "src/Tensor/TensorBroadcasting.h"
+#include "src/Tensor/TensorChipping.h"
+#include "src/Tensor/TensorInflation.h"
+#include "src/Tensor/TensorLayoutSwap.h"
+#include "src/Tensor/TensorMorphing.h"
+#include "src/Tensor/TensorPadding.h"
+#include "src/Tensor/TensorReverse.h"
+#include "src/Tensor/TensorShuffling.h"
+#include "src/Tensor/TensorStriding.h"
+#include "src/Tensor/TensorCustomOp.h"
+#include "src/Tensor/TensorEvalTo.h"
+#include "src/Tensor/TensorForcedEval.h"
+#include "src/Tensor/TensorGenerator.h"
+#include "src/Tensor/TensorAssign.h"
+#include "src/Tensor/TensorScan.h"
+
+#include "src/Tensor/TensorSycl.h"
+#include "src/Tensor/TensorExecutor.h"
+#include "src/Tensor/TensorDevice.h"
+
+#include "src/Tensor/TensorStorage.h"
+#include "src/Tensor/Tensor.h"
+#include "src/Tensor/TensorFixedSize.h"
+#include "src/Tensor/TensorMap.h"
+#include "src/Tensor/TensorRef.h"
+
+#include "src/Tensor/TensorIO.h"
+
+#include <Eigen/src/Core/util/ReenableStupidWarnings.h>
+
+//#endif // EIGEN_CXX11_TENSOR_MODULE
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/digest/R/digest
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/digest/R/digest	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/digest/R/digest	(revision 3761)
@@ -0,0 +1,27 @@
+#  File share/R/nspackloader.R
+#  Part of the R package, https://www.R-project.org
+#
+#  Copyright (C) 1995-2012 The R Core Team
+#
+#  This program is free software; you can redistribute it and/or modify
+#  it under the terms of the GNU General Public License as published by
+#  the Free Software Foundation; either version 2 of the License, or
+#  (at your option) any later version.
+#
+#  This program is distributed in the hope that it will be useful,
+#  but WITHOUT ANY WARRANTY; without even the implied warranty of
+#  MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
+#  GNU General Public License for more details.
+#
+#  A copy of the GNU General Public License is available at
+#  https://www.r-project.org/Licenses/
+
+local({
+    info <- loadingNamespaceInfo()
+    pkg <- info$pkgname
+    ns <- .getNamespace(as.name(pkg))
+    if (is.null(ns))
+        stop("cannot find namespace environment for ", pkg, domain = NA);
+    dbbase <- file.path(info$libname, pkg, "R", pkg)
+    lazyLoad(dbbase, ns, filter = function(n) n != ".__NAMESPACE__.")
+})
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/digest/R/digest.rdb
===================================================================
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Property changes on: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/digest/R/digest.rdb
___________________________________________________________________
Added: svn:mime-type
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Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/digest/R/digest.rdx
===================================================================
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Property changes on: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/digest/R/digest.rdx
___________________________________________________________________
Added: svn:mime-type
   + application/octet-stream

Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/digest/include/pmurhashAPI.h
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/digest/include/pmurhashAPI.h	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/digest/include/pmurhashAPI.h	(revision 3761)
@@ -0,0 +1,106 @@
+/* -*- mode: c++; tab-width: 4; indent-tabs-mode: nil; c-basic-offset: 4 -*-
+
+  pmurhashAPI.h -- interface file for external clients
+
+  Copyright (C) 2014 Wush Wu and Dirk Eddelbuettel 
+
+  This file is part of digest.
+
+  digest is free software: you can redistribute it and/or modify
+  it under the terms of the GNU General Public License as published by
+  the Free Software Foundation, either version 2 of the License, or
+  (at your option) any later version.
+
+  digest is distributed in the hope that it will be useful,
+  but WITHOUT ANY WARRANTY; without even the implied warranty of
+  MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
+  GNU General Public License for more details.
+
+  You should have received a copy of the GNU General Public License
+  along with digest.  If not, see <http://www.gnu.org/licenses/>.
+*/
+
+/*
+   Purpose:  
+
+      Provide MurmurHash3A for use by C / C++ code of other R packages
+
+   Usage:
+
+      1) In your package, add 'LinkingTo: digest' to the DESCRIPTION file.
+         This ensure that R will know the path to this file.
+
+      2) In your source code, add '#include <pmurhashAPI.h>'
+         This ensures the compiler knows the declaration of the function 
+         interface.
+
+      3) In your package's source code, call 'res = PMurHash32(seed,
+         key, len);' where res and seed are of type MH_UINT32 (which
+         is defined appropriately below).
+
+      4) The local function here sets a static pointer to the actual
+         MurmurHash32 implementation in this package. R takes care of
+         the function registration, export and import --- meaning that
+         no build-time linking of your package is needed resulting in
+         simpler and more robust build steps.
+    
+*/
+
+
+#ifndef __PMURHASH_H__
+#define __PMURHASH_H__
+
+#include <stddef.h>
+#include <R_ext/Rdynload.h>
+
+#ifdef HAVE_VISIBILITY_ATTRIBUTE
+    # define attribute_hidden __attribute__ ((visibility ("hidden")))
+#else
+    # define attribute_hidden
+#endif
+
+#ifdef __cplusplus
+extern "C" {
+#endif
+
+/* First look for special cases */
+#if defined(_MSC_VER)
+   #define MH_UINT32 unsigned long
+#endif
+
+/* If the compiler says it's C99 then take its word for it */
+#if !defined(MH_UINT32) && ( \
+     defined(__STDC_VERSION__) && __STDC_VERSION__ >= 199901L )
+    #include <stdint.h>
+    #define MH_UINT32 uint32_t
+#endif
+
+/* Otherwise try testing against max value macros from limit.h */
+#if !defined(MH_UINT32)
+    #include  <limits.h>
+    #if   (USHRT_MAX == 0xffffffffUL)
+        #define MH_UINT32 unsigned short
+    #elif (UINT_MAX == 0xffffffffUL)
+        #define MH_UINT32 unsigned int
+    #elif (ULONG_MAX == 0xffffffffUL)
+        #define MH_UINT32 unsigned long
+    #endif
+#endif
+
+#if !defined(MH_UINT32)
+    #error Unable to determine type name for unsigned 32-bit int
+#endif
+
+MH_UINT32 attribute_hidden PMurHash32(MH_UINT32 seed, const void *key, int len) {
+    static MH_UINT32(*f)(MH_UINT32, const void*, int) = NULL;
+    if (!f) {
+        f = (MH_UINT32(*)(MH_UINT32, const void*, int)) R_GetCCallable("digest", "PMurHash32");
+    }
+    return f(seed, key, len);
+}
+
+#ifdef __cplusplus
+}
+#endif
+
+#endif /* __PMURHASH_H__ */
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/digest/tinytest/test_misc.R
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/digest/tinytest/test_misc.R	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/digest/tinytest/test_misc.R	(revision 3761)
@@ -0,0 +1,56 @@
+## a few tests split off the test_digest.R file
+
+suppressMessages(library(digest))
+
+## test 'length' parameter and file input
+##fname <- file.path(R.home(),"COPYING")  ## not invariant across OSs
+fname <- system.file("GPL-2", package="digest")
+x <- readChar(fname, file.info(fname)$size) # read file
+xskip <- substring(x, first=20+1)
+for (alg in c("sha1", "md5", "crc32", "sha256", "sha512",
+              "xxhash32", "xxhash64", "murmur32")) {
+                                        # partial file
+    h1 <- digest(x    , length=18000, algo=alg, serialize=FALSE)
+    h2 <- digest(fname, length=18000, algo=alg, serialize=FALSE, file=TRUE)
+    expect_true(identical(h1,h2))
+    h3 <- digest(substr(x,1,18000)  , algo=alg, serialize=FALSE)
+    expect_true(identical(h1,h3))
+    #cat(h1, "\n", h2, "\n", h3, "\n")
+    expect_identical(
+      getVDigest(alg)(x, length = 18e3, serialize = FALSE),
+      getVDigest(alg)(fname, length = 18e3, serialize = FALSE, file = TRUE)
+    )
+                                        # whole file
+    h4 <- digest(x    , algo=alg, serialize=FALSE)
+    h5 <- digest(fname, algo=alg, serialize=FALSE, file=TRUE)
+    expect_true( identical(h4,h5) )
+
+    expect_identical(
+      getVDigest(alg)(x, serialize = FALSE),
+      getVDigest(alg)(fname, serialize = FALSE, file = TRUE)
+    )
+
+    ## Assert that 'skip' works
+    h6 <- digest(xskip, algo=alg, serialize=FALSE)
+    h7 <- digest(fname, algo=alg, serialize=FALSE, skip=20, file=TRUE)
+    expect_true( identical(h6, h7) )
+    expect_identical(
+      getVDigest(alg)(xskip, serialize = FALSE),
+      getVDigest(alg)(fname, serialize = FALSE, skip = 20, file = TRUE)
+    )
+}
+
+## compare md5 algorithm to other tools
+library(tools)
+##fname <- file.path(R.home(),"COPYING")  ## not invariant across OSs
+fname <- system.file("GPL-2", package="digest")
+h1 <- as.character(md5sum(fname))
+h2 <- digest(fname, algo="md5", file=TRUE)
+expect_true( identical(h1,h2) )
+
+## Make sure we don't core dump with unreadable files.
+fname <- tempfile()
+#cat("Hello World, you won't have access to read me", file=fname)
+on.exit(unlink(fname))
+Sys.chmod(fname, mode="0000")
+try(res <- digest(fname, file=TRUE), silent=TRUE)
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/digest/tinytest/test_crc32.R
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/digest/tinytest/test_crc32.R	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/digest/tinytest/test_crc32.R	(revision 3761)
@@ -0,0 +1,16 @@
+
+## tests for old versus new (ie guaranteed eight chars, added in 0.6.16) format for crc32
+
+suppressMessages(library(digest))
+
+
+args <- c(0L, 51L, 126L, 8480L, 60929L, 180832L)
+
+resOld <- c("b7fa0888",  "82a699e",   "4754b3",    "b3da3",     "e67c",      "872")
+resNew <- c("b7fa0888", "082a699e", "004754b3", "000b3da3", "0000e67c", "00000872")
+
+options("digestOldCRC32Format" = TRUE)
+expect_identical(sapply(args, digest, algo="crc32"), resOld)
+
+options("digestOldCRC32Format" = FALSE)
+expect_identical(sapply(args, digest, algo="crc32"), resNew)
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/digest/tinytest/test_digest2int.R
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/digest/tinytest/test_digest2int.R	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/digest/tinytest/test_digest2int.R	(revision 3761)
@@ -0,0 +1,13 @@
+
+suppressMessages(library(digest))
+
+input <- letters[1:5]
+hashed_seed_0 <- c(-902917054L, 14385563L, -289776295L, 592496261L, 286663184L)
+expect_equal(digest2int(input), hashed_seed_0)
+
+hashed_seed_1 <- c(14385563L, -289776295L, 592496261L, 286663184L, 1208324078L)
+expect_equal(digest2int(input, 1L), hashed_seed_1)
+
+# should fail if uint32_t on the system is not a 32-bit unsigned integer
+expect_equal(digest2int("cat sat on the mat"), 562079877L)
+expect_equal(digest2int("The quick brown fox jumps over the lazy dog"), 1369346549L)
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/digest/tinytest/test_sha1.R
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/digest/tinytest/test_sha1.R	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/digest/tinytest/test_sha1.R	(revision 3761)
@@ -0,0 +1,496 @@
+
+## tests for digest, taken from the examples in the manual page
+
+suppressMessages(library(digest))
+
+# calculate sha1 fingerprints
+x.numeric <- c(seq(0, 1, length = 4 ^ 3), -Inf, Inf, NA, NaN)
+x.list <- list(letters, x.numeric)
+x.dataframe <- data.frame(X = letters,
+                          Y = x.numeric[2],
+                          Z = factor(letters),
+                          stringsAsFactors = FALSE)
+x.matrix.num <- as.matrix(x.numeric)
+x.matrix.letter <- as.matrix(letters)
+x.dataframe.round <- x.dataframe
+x.dataframe.round$Y <- signif(x.dataframe.round$Y, 14)
+x.factor <- factor(letters)
+x.array.num <- as.array(x.numeric)
+x.formula <- a~b+c|d
+x.paren_formula <- a~(b+c)
+x.no_paren_formula <- a~b+c
+
+# tests using detailed numbers
+expect_false(identical(x.numeric, signif(x.numeric, 14)))
+expect_false(identical(x.matrix.num, signif(x.matrix.num, 14)))
+
+# returns the correct SHA1
+expect_true(
+    identical(
+        sha1(x.numeric),
+        {
+            z <- digest:::num2hex(x.numeric)
+            attr(z, "digest::sha1") <- list(
+                class = class(x.numeric),
+                digits = 14L,
+                zapsmall = 7L
+            )
+            digest(z, algo = "sha1")
+        }
+    )
+)
+# Verify that all numeric values (especially +-Inf and NA/NaN) return unique
+# SHA1 hashes
+expect_false(
+    any(duplicated(sapply(x.numeric, sha1)))
+)
+expect_true(
+    identical(
+        sha1(letters),
+        {
+            z <- letters
+            attr(z, "digest::sha1") <- list(
+                class = "character",
+                digits = 14L,
+                zapsmall = 7L
+            )
+            digest(z, algo = "sha1")
+        }
+    )
+)
+expect_true(
+    identical(
+        sha1(x.list),
+        {
+            z <- sapply(x.list, sha1)
+            attr(z, "digest::sha1") <- list(
+                class = "list",
+                digits = 14L,
+                zapsmall = 7L
+            )
+            digest(z, algo = "sha1")
+        }
+    )
+)
+options(sha1PackageVersion = "0.6.22.1")
+expect_true(
+    identical(
+        sha1(x.dataframe),
+        {
+            z <- sapply(x.dataframe, sha1)
+            attr(z, "digest::sha1") <- list(
+                class = "data.frame",
+                digits = 14L,
+                zapsmall = 7L
+            )
+            digest(z, algo = "sha1")
+        }
+    )
+)
+## expect_true(
+##     identical(
+##         sha1(x.matrix.num),
+##         {
+##             z <- matrix(
+##                 apply(x.matrix.num, 2, digest:::num2hex),
+##                 ncol = ncol(x.matrix.num)
+##             )
+##             attr(z, "digest::sha1") <- list(
+##                 class = "matrix",
+##                 digits = 14L,
+##                 zapsmall = 7L
+##             )
+##             digest(z, algo = "sha1")
+##         }
+##     )
+## )
+## expect_true(
+##     identical(
+##         sha1(x.matrix.letter),
+##         {
+##             z <- x.matrix.letter
+##             attr(z, "digest::sha1") <- list(
+##                 class = "matrix",
+##                 digits = 14L,
+##                 zapsmall = 7L
+##             )
+##             digest(z, algo = "sha1")
+##         }
+##     )
+## )
+stopifnot(
+    identical(
+        sha1(x.factor),
+        {
+            z <- x.factor
+            attr(z, "digest::sha1") <- list(
+                class = "factor",
+                digits = 14L,
+                zapsmall = 7L
+            )
+            digest(z, algo = "sha1")
+        }
+    )
+)
+# a matrix and a vector should have a different hash
+expect_true(
+    !identical(
+        sha1(x.numeric),
+        sha1(matrix(x.numeric, nrow = 1))
+    )
+)
+expect_true(
+    !identical(
+        sha1(x.numeric),
+        sha1(matrix(x.numeric, ncol = 1))
+    )
+)
+expect_true(
+    !identical(
+        sha1(letters),
+        sha1(matrix(letters, nrow = 1))
+    )
+)
+expect_true(
+    !identical(
+        sha1(letters),
+        sha1(matrix(letters, ncol = 1))
+    )
+)
+
+# character(0) and numeric(0) should have a different hash
+expect_true(!identical(sha1(character(0)), sha1(numeric(0))))
+
+# a POSIXct and a POSIXlt should give a different hash
+z <- as.POSIXct("2015-01-02 03:04:06.07", tz = "UTC")
+expect_true(
+    !identical(
+        sha1(z),
+        sha1(as.POSIXlt(z))
+    )
+)
+
+lm.model.0 <- lm(weight ~ Time, data = ChickWeight)
+lm.model.1 <- lm(weight ~ 1, data = ChickWeight)
+glm.model.0 <- glm(weight ~ Time, data = ChickWeight, family = poisson)
+glm.model.1 <- glm(weight ~ 1, data = ChickWeight, family = poisson)
+
+anova.list <- list(
+    lm = anova(lm.model.0, lm.model.1),
+    glm = anova(glm.model.0, glm.model.1),
+    glm.test = anova(glm.model.0, glm.model.1, test = "Chisq")
+)
+
+# works with lm anova"
+expect_true(
+    identical(
+        sha1(anova.list[["lm"]]),
+        {
+            y <- apply(
+                anova.list[["lm"]],
+                1,
+                digest:::num2hex,
+                digits = 4,
+                zapsmall = 7
+            )
+            attr(y, "digest::sha1") <- list(
+                class = c("anova", "data.frame"),
+                digits = 4L,
+                zapsmall = 7L
+            )
+            digest(y, algo = "sha1")
+        }
+    )
+)
+# works with glm anova"
+expect_true(
+    identical(
+        sha1(anova.list[["glm"]]),
+        {
+            y <- apply(
+                anova.list[["glm"]],
+                1,
+                digest:::num2hex,
+                digits = 4,
+                zapsmall = 7
+            )
+            attr(y, "digest::sha1") <- list(
+                class = c("anova", "data.frame"),
+                digits = 4L,
+                zapsmall = 7L
+            )
+            digest(y, algo = "sha1")
+        }
+    )
+)
+expect_true(
+    identical(
+        sha1(anova.list[["glm.test"]]),
+        {
+            y <- apply(
+                anova.list[["glm.test"]],
+                1,
+                digest:::num2hex,
+                digits = 4,
+                zapsmall = 7
+            )
+            attr(y, "digest::sha1") <- list(
+                class = c("anova", "data.frame"),
+                digits = 4L,
+                zapsmall = 7L
+            )
+            digest(y, algo = "sha1")
+        }
+    )
+)
+expect_true(
+    identical(
+        sha1(x.formula, environment=FALSE),
+        {
+            y <- sapply(
+                X=x.formula,
+                FUN=sha1,
+                digits=14L,
+                zapsmall=7L,
+                ...=list(environment=FALSE),
+                algo="sha1"
+            )
+            attr(y, "digest::sha1") <- list(
+                class="formula",
+                digits=14L,
+                zapsmall=7L,
+                environment=FALSE
+            )
+            digest(y, algo="sha1")
+        }
+    )
+)
+expect_true(
+    identical(
+        sha1(x.formula),
+        {
+            y <- c(
+                sapply(
+                    X=x.formula,
+                    FUN=sha1,
+                    digits=14L,
+                    zapsmall=7L,
+                    ...=list(environment=TRUE),
+                    algo="sha1"
+                ),
+                digest(environment(x.formula), algo="sha1")
+            )
+            attr(y, "digest::sha1") <- list(
+                class="formula",
+                digits=14L,
+                zapsmall=7L
+            )
+            digest(y, algo="sha1")
+        }
+    )
+)
+expect_true(
+    sha1(x.paren_formula) != sha1(x.no_paren_formula)
+)
+
+test.element <- list(
+    # NULL
+    NULL,
+    # empty classes
+    logical(0), integer(0), numeric(0), character(0), list(), data.frame(),
+    # scalar
+    TRUE, FALSE, 1L, 1, "a",
+    # date. Make sure to add the time zone. Otherwise the test might fail
+    as.POSIXct("2015-01-02 03:04:06.07", tz = "UTC"),
+    # vector
+    c(TRUE, FALSE), 1:3, seq(0, 10, length = 4), letters[1:3],
+    factor(letters[4:6]),
+    as.POSIXct(c("2015-01-02 03:04:06.07", "1960-12-31 23:59:59"), tz = "UTC")
+)
+select.vector <- which(sapply(test.element, length) > 1)
+test.element <- c(
+    test.element,
+    # add a data.frame
+    list(expand.grid(test.element[select.vector])),
+    # add a list
+    list(test.element[select.vector]),
+    # add matrices
+    list(matrix(1:10)),
+    list(matrix(seq(0, 10, length = 4))),
+    list(matrix(letters))
+)
+# different values for digits or zapsmall gives different hashes
+# expect for NULL
+expect_true(
+    identical(
+        sha1(NULL, digits = 14),
+        sha1(NULL, digits = 13)
+    )
+)
+expect_true(
+    identical(
+        sha1(NULL, zapsmall = 14),
+        sha1(NULL, zapsmall = 13)
+    )
+)
+for (i in tail(seq_along(test.element), -1)) {
+    expect_true(
+        !identical(
+            sha1(test.element[[i]], digits = 14),
+            sha1(test.element[[i]], digits = 13)
+        )
+    )
+    expect_true(
+        !identical(
+            sha1(test.element[[i]], zapsmall = 7),
+            sha1(test.element[[i]], zapsmall = 6)
+        )
+    )
+}
+test.element <- c(test.element, anova.list)
+
+#cat("\ncorrect <- c(\n")
+#cat(
+#    sprintf("    \"%s\"", sapply(test.element, sha1)),
+#    sep = ",\n"
+#)
+#cat(")\n")
+
+correct <- c(
+    "8d9c05ec7ae28b219c4c56edbce6a721bd68af82",
+    "d61eeea290dd09c5a3eba41c2b3174b6e4e2366d",
+    "af23305d27f0409c91bdb86ba7c0cdb2e09a5dc6",
+    "0c9ca70ce773deb0d9c0b0579c3b94856edf15cc",
+    "095886422ad26e315c0960ef6b09842a1f9cc0ce",
+    "6cc04c6c432bb91e210efe0b25c6ca809e6df2e3",
+    "c1113ba008a349de64da2a7a724e501c1eb3929b",
+    "6e12370bdc6fc457cc154f0525e22c6aa6439f4d",
+    "1c1b5393c68a643bc79c277c6d7374d0b30cd985",
+    "b48c17a2ac82601ff38df374f87d76005fb61cbd",
+    "35280c99aa6a48bfc2810b72b763ccac0f632207",
+    "f757cc017308d217f35ed8f0c001a57b97308fb7",
+    "cfcf101b8449af67d34cdc1bcb0432fe9e4de08e",
+    "a14384d1997440bad13b97b3ccfb3b8c0392e79a",
+    "555f6bea49e58a2c2541060a21c2d4f9078c3086",
+    "631d18dec342e2cb87614864ba525ebb9ad6a124",
+    "b6c04f16b6fdacc794ea75c8c8dd210f99fafa65",
+    "25485ba7e315956267b3fdc521b421bbb046325d",
+    "6def3ca353dfc1a904bddd00e6a410d41ac7ab01",
+    "cf220bcf84c3d0ab1b01f8f764396941d15ff20f",
+    "2af8021b838f613aee7670bed19d0ddf1d6bc0c1",
+    "270ed85d46524a59e3274d89a1bbf693521cb6af",
+    "60e09482f12fda20f7d4a70e379c969c5a73f512",
+    "10380001af2a541b5feefc7aab9f719b67330a42",
+    "4580ff07f27eb8321421efac1676a80d9239572a",
+    "d3022c5a223caaf77e9c564e024199e5d6f51bd5",
+    "f54742ac61edd8c3980354620816c762b524dfc7"
+)
+# each object should yield a different hash
+expect_true(!any(duplicated(correct)))
+# returns the same SHA1 on both 32-bit and 64-bit OS"
+## for (i in seq_along(test.element)) {
+##     expect_true(
+##         identical(
+##             sha1(test.element[[i]]),
+##             correct[i]
+##         )
+##     )
+## }
+
+# does work with empty lists and data.frames
+expect_true(is.character(sha1(list())))
+expect_true(is.character(sha1(data.frame())))
+expect_true(is.character(sha1(list(a = 1, b = list(), c = data.frame()))))
+
+# does work with complex type
+expect_true(is.character(sha1(2 + 5i))) # single complex number
+expect_true(is.character(sha1(1:10 + 5i))) # vector of complex numbers
+
+# complex number with only the real part should be different from real number
+expect_true(sha1(2) != sha1(2 + 0i))
+
+# does work with Date type
+expect_true(is.character(sha1(Sys.Date())))
+expect_true(sha1(as.Date("1980-01-01")) != sha1(as.Date("1990-01-01")))
+
+# different hashes for differently shaped arrays that contain the same data
+data <- 1:8
+a <- array(data, dim = c(2,2,2)) # cube 2x2x2
+b <- array(data, dim = c(2,4,1)) # matrix 2x4
+expect_true(sha1(a) != sha1(b))
+
+# test error message
+junk <- pi
+class(junk) <- c("A", "B")
+#error.message <- try(sha1(junk))
+#expect_true(grepl("sha1\\(\\) has no method for the 'A', 'B' class", error.message))
+
+junk <- function(
+    x, y = list(...), test = TRUE, start = NULL, text = "abc", family = poisson,
+    ...
+){
+    sha1(x)
+}
+#expect_true(sha1(junk) == "be194e8cdae926c13fd4e2c65bf6cb7a28dd0505")
+expect_true(sha1(junk) == sha1(junk, environment = TRUE))
+expect_true(sha1(junk) != sha1(junk, environment = FALSE))
+
+#expect_true(sha1(matrix(integer(0))) == "e13485e1b995f3e36d43674dcbfedea08ce237bc")
+expect_true(
+    !identical(
+        sha1(matrix(integer(0))),
+        sha1(matrix(character(0)))
+    )
+)
+expect_true(
+    !identical(
+        sha1(matrix(integer(0))),
+        sha1(matrix(numeric(0)))
+    )
+)
+
+## if (getRversion() < "3.5.0") {
+##     expect_true(
+##         identical(
+##             sha1(serialize("e13485e1b995f3e36d43674dcbfedea08ce237bc", NULL)),
+##             "93ab6a61f1a2ad50d4bf58396dc38cd3821b2eaf"
+##         )
+##     )
+## }
+
+x <- letters
+for (algo in c("md5", "sha1", "crc32", "sha256", "sha512", "xxhash32",
+               "xxhash64",  "murmur32")) {
+    y <- x
+    attr(y, "digest::sha1") <- digest:::attr_sha1(x, 14L, 7L, algo = algo)
+    expect_true(
+        identical(
+            sha1(x, algo = algo),
+            digest(y, algo = algo)
+        )
+    )
+
+}
+
+expect_true(is.character(sha1(sessionInfo())))
+
+# check the effect of attributes from version 0.6.22.2
+options(sha1PackageVersion = utils::packageVersion("digest"))
+check_attribute_effect <- function(x) {
+    y <- x
+    attr(y, "test") <- "junk"
+    expect_false(sha1(x) == sha1(y))
+}
+test.element <- list(2 + 5i, x.array.num, Sys.Date(), Sys.time(), y ~ x)
+test.element <- c(test.element, list(x.dataframe), anova.list, function(x){x})
+for (z in test.element) {
+    check_attribute_effect(z)
+}
+
+# check that sha1() on contributed functions maintain there hash after storing
+f <- tempfile(fileext = ".rds")
+x <- digest::sha1
+saveRDS(x, f)
+y <- readRDS(f)
+expect_identical(sha1(x), sha1(y))
+expect_identical(sha1(x, environment = FALSE), sha1(y, environment = FALSE))
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/digest/tinytest/test_digest.R
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/digest/tinytest/test_digest.R	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/digest/tinytest/test_digest.R	(revision 3761)
@@ -0,0 +1,316 @@
+
+## tests for digest, taken from the examples in the manual page
+
+suppressMessages(library(digest))
+
+## Standard RFC 1321 test vectors
+md5Input <-
+    c("",
+      "a",
+      "abc",
+      "message digest",
+      "abcdefghijklmnopqrstuvwxyz",
+      "ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz0123456789",
+      paste("12345678901234567890123456789012345678901234567890123456789012",
+            "345678901234567890", sep=""))
+md5Output <-
+    c("d41d8cd98f00b204e9800998ecf8427e",
+      "0cc175b9c0f1b6a831c399e269772661",
+      "900150983cd24fb0d6963f7d28e17f72",
+      "f96b697d7cb7938d525a2f31aaf161d0",
+      "c3fcd3d76192e4007dfb496cca67e13b",
+      "d174ab98d277d9f5a5611c2c9f419d9f",
+      "57edf4a22be3c955ac49da2e2107b67a")
+
+for (i in seq(along.with=md5Input)) {
+    md5 <- digest(md5Input[i], serialize=FALSE)
+    expect_true(identical(md5, md5Output[i]))
+    #cat(md5, "\n")
+}
+
+md5 <- getVDigest()
+expect_identical(md5(md5Input, serialize = FALSE), md5Output)
+
+expect_identical(digest(NULL),
+                 md5(NULL))
+expect_identical(digest(character(0)),
+                 md5(character(0)))
+expect_identical(digest(list("abc")),
+                 md5(list(list("abc"))))
+expect_identical(digest(list(NULL)),
+                 md5(list(list(NULL))))
+expect_identical(digest(character(0), serialize = FALSE),
+                 md5(character(0), serialize = FALSE))
+
+
+## md5 raw output test
+for (i in seq(along.with=md5Input)) {
+    md5 <- digest(md5Input[i], serialize=FALSE, raw=TRUE)
+    md5 <- gsub(" ","",capture.output(cat(md5)))
+    expect_true(identical(md5, md5Output[i]))
+    #cat(md5, "\n")
+}
+
+sha1Input <-
+    c("abc",
+      "abcdbcdecdefdefgefghfghighijhijkijkljklmklmnlmnomnopnopq",
+      NULL)
+sha1Output <-
+    c("a9993e364706816aba3e25717850c26c9cd0d89d",
+      "84983e441c3bd26ebaae4aa1f95129e5e54670f1",
+      "34aa973cd4c4daa4f61eeb2bdbad27316534016f")
+
+for (i in seq(along.with=sha1Input)) {
+    sha1 <- digest(sha1Input[i], algo="sha1", serialize=FALSE)
+    expect_true(identical(sha1, sha1Output[i]))
+    #cat(sha1, "\n")
+}
+
+sha1 <- getVDigest(algo = 'sha1')
+expect_identical(sha1(sha1Input, serialize = FALSE), sha1Output[1:2])
+
+## sha1 raw output test
+for (i in seq(along.with=sha1Input)) {
+    sha1 <- digest(sha1Input[i], algo="sha1", serialize=FALSE, raw=TRUE)
+    #print(sha1)
+    sha1 <- gsub(" ","",capture.output(cat(sha1)))
+    #print(sha1)
+    #print(sha1Output[i])
+    expect_true(identical(sha1, sha1Output[i]))
+    #cat(sha1, "\n")
+}
+
+## sha512 test
+sha512Input <-c(
+    "",
+    "The quick brown fox jumps over the lazy dog."
+    )
+sha512Output <- c(
+    "cf83e1357eefb8bdf1542850d66d8007d620e4050b5715dc83f4a921d36ce9ce47d0d13c5d85f2b0ff8318d2877eec2f63b931bd47417a81a538327af927da3e",
+    "91ea1245f20d46ae9a037a989f54f1f790f0a47607eeb8a14d12890cea77a1bbc6c7ed9cf205e67b7f2b8fd4c7dfd3a7a8617e45f3c463d481c7e586c39ac1ed")
+
+for (i in seq(along.with=sha512Input)) {
+    sha512 <- digest(sha512Input[i], algo="sha512", serialize=FALSE)
+    expect_true(identical(sha512, sha512Output[i]))
+    #cat(sha512, "\n")
+}
+
+sha512 <- getVDigest(algo = 'sha512')
+expect_identical(sha512(sha512Input, serialize = FALSE), sha512Output[1:2])
+
+## sha512 raw output test
+for (i in seq(along.with=sha512Input)) {
+    sha512 <- digest(sha512Input[i], algo="sha512", serialize=FALSE, raw=TRUE)
+    #print(sha512)
+
+    sha512 <- gsub(" ","",capture.output(cat(sha512)))
+    #print(sha512)
+    #print(sha512Output[i])
+    expect_true(identical(sha512, sha512Output[i]))
+    #cat(sha512, "\n")
+}
+
+crc32Input <-
+    c("abc",
+      "abcdbcdecdefdefgefghfghighijhijkijkljklmklmnlmnomnopnopq",
+      NULL)
+crc32Output <-
+    c("352441c2",
+      "171a3f5f",
+      "2ef80172")
+
+for (i in seq(along.with=crc32Input)) {
+    crc32 <- digest(crc32Input[i], algo="crc32", serialize=FALSE)
+    expect_true(identical(crc32, crc32Output[i]))
+    #cat(crc32, "\n")
+}
+
+crc32 <- getVDigest(algo = 'crc32')
+expect_identical(crc32(crc32Input, serialize = FALSE), crc32Output[1:2])
+
+
+## one of the FIPS-
+sha1 <- digest("abc", algo="sha1", serialize=FALSE)
+expect_true(identical(sha1, "a9993e364706816aba3e25717850c26c9cd0d89d"))
+
+## This one seems to give slightly different output depending on the R version used
+##
+##                                      # example of a digest of a standard R list structure
+## cat(digest(list(LETTERS, data.frame(a=letters[1:5],
+##                                     b=matrix(1:10,
+##                                     ncol=2)))), "\n")
+
+## these outputs were calculated using xxh32sum
+xxhash32Input <-
+    c("abc",
+      "abcdbcdecdefdefgefghfghighijhijkijkljklmklmnlmnomnopnopq",
+      "")
+xxhash32Output <-
+    c("32d153ff",
+      "89ea60c3",
+      "02cc5d05")
+
+for (i in seq(along.with=xxhash32Input)) {
+    xxhash32 <- digest(xxhash32Input[i], algo="xxhash32", serialize=FALSE)
+    #cat(xxhash32, "\n")
+    expect_true(identical(xxhash32, xxhash32Output[i]))
+}
+
+xxhash32 <- getVDigest(algo = 'xxhash32')
+expect_identical(xxhash32(xxhash32Input, serialize = FALSE), xxhash32Output)
+
+
+## these outputs were calculated using xxh64sum
+xxhash64Input <-
+    c("abc",
+      "abcdbcdecdefdefgefghfghighijhijkijkljklmklmnlmnomnopnopq",
+      "")
+xxhash64Output <-
+    c("44bc2cf5ad770999",
+      "f06103773e8585df",
+      "ef46db3751d8e999")
+
+for (i in seq(along.with=xxhash64Input)) {
+    xxhash64 <- digest(xxhash64Input[i], algo="xxhash64", serialize=FALSE)
+    #cat(xxhash64, "\n")
+    expect_true(identical(xxhash64, xxhash64Output[i]))
+}
+
+xxhash64 <- getVDigest(algo = 'xxhash64')
+expect_identical(xxhash64(xxhash64Input, serialize = FALSE), xxhash64Output)
+
+
+## these outputs were calculated using mmh3 python package
+## the first two are also shown at this StackOverflow question on test vectors
+##   https://stackoverflow.com/questions/14747343/murmurhash3-test-vectors
+murmur32Input <-
+    c("abc",
+      "abcdbcdecdefdefgefghfghighijhijkijkljklmklmnlmnomnopnopq",
+      "")
+murmur32Output <-
+    c("b3dd93fa",
+      "ee925b90",
+      "00000000")
+
+for (i in seq(along.with=murmur32Input)) {
+    murmur32 <- digest(murmur32Input[i], algo="murmur32", serialize=FALSE)
+    #cat(murmur32, "\n")
+    expect_true(identical(murmur32, murmur32Output[i]))
+}
+
+murmur32 <- getVDigest(algo = 'murmur32')
+expect_identical(murmur32(murmur32Input, serialize = FALSE), murmur32Output)
+
+
+## tests for digest spooky
+
+expect_true(require(digest))
+
+## test vectors (originally for md5)
+spookyInput <-
+  c("",
+    "a",
+    "abc",
+    "message digest",
+    "abcdefghijklmnopqrstuvwxyz",
+    "ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz0123456789",
+    paste("12345678901234567890123456789012345678901234567890123456789012",
+          "345678901234567890", sep=""))
+
+# from spooky import hash128
+# from binascii import hexlify
+#
+# spookyInput = [
+#     "",
+#       "a",
+#       "abc",
+#       "message digest",
+#       "abcdefghijklmnopqrstuvwxyz",
+#       "ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz0123456789",
+#       "12345678901234567890123456789012345678901234567890123456789012345678901234567890"
+#     ]
+#
+# for s in spookyInput:
+#     hexlify(hash128(s).to_bytes(16, 'little')).decode()
+#
+# '1909f56bfc062723c751e8b465ee728b'
+# 'bdc9bba09181101a922a4161f0584275'
+# '67c93775f715ab8ab01178caf86713c6'
+# '9630c2a55c0987a0db44434f9d67a192'
+# '5172de938ce149a98f4d06d3c3168ffe'
+# 'b5b3b2d0f08b58aa07f551895f929f81'
+# '3621ec01112dafa1610a4bd23041966b'
+
+spookyOutputPython <-
+  c(
+    '1909f56bfc062723c751e8b465ee728b',
+    'bdc9bba09181101a922a4161f0584275',
+    '67c93775f715ab8ab01178caf86713c6',
+    '9630c2a55c0987a0db44434f9d67a192',
+    '5172de938ce149a98f4d06d3c3168ffe',
+    'b5b3b2d0f08b58aa07f551895f929f81',
+    '3621ec01112dafa1610a4bd23041966b'
+  )
+
+## spooky raw output test
+for (i in seq(along.with=spookyInput)) {
+  # skip = 30 skips the entire serialization header for a length 1 character vector
+  # this is equivalent to raw = TRUE and matches the python spooky implementation for those vectors
+  spooky <- digest(spookyInput[i], algo = "spookyhash", skip = 30)
+  expect_true(identical(spooky, spookyOutputPython[i]))
+  #cat(spooky, "\n")
+}
+
+expect_identical(
+  getVDigest(algo = 'spookyhash')(spookyInput, skip = 30),
+  spookyOutputPython
+)
+
+## some extras to get coverage up - these aren't tested against reference output,
+## just output from R 3.6.0
+spookyInput <- c("a", "aaaaaaaaa", "aaaaaaaaaaaaa")
+spookyOutput <- c(
+  "b7a3573ba6139dfdc52db30acba87f46",
+  "fd876ecaa5d1e442600333118f223e02",
+  "91848873bf91d06ad321bbd47400a556"
+)
+for (i in seq(along.with=spookyInput)) {
+  spooky <- digest(spookyInput[i], algo = "spookyhash")
+  expect_true(identical(spooky, spookyOutput[i]))
+  #cat(spooky, "\n")
+}
+
+expect_identical(
+  getVDigest(algo = 'spookyhash')(spookyInput),
+  spookyOutput
+)
+
+# test a bigger object
+spooky <- digest(iris, algo = "spookyhash")
+expect_true(identical(spooky, "af58add8b4f7044582b331083bc239ff"))
+expect_identical(getVDigest('spookyhash')(list(iris)),
+                 "af58add8b4f7044582b331083bc239ff")
+#cat(spooky, "\n")
+
+# test error message
+#error.message <- try(digest(spookyInput[i], algo = "spookyhash", serialize = FALSE))
+#expect_true(
+#  grepl("spookyhash algorithm is not available without serialization.", error.message)
+#)
+
+
+## Ensure that all values of algo are actually allowed (in case a new one is
+## added in the future). The call to match.arg() passes choices explicitly
+## because it is significantly faster to do it than to have it automatically
+## infer the possible choices from the function's formals.
+
+# Grab the possible values of algo, then call digest() for each one.
+algos <- eval(formals(digest)$algo)
+for (algo in algos) {
+  digest(123, algo = algo)
+}
+# Same for getVDigest
+algos <- eval(formals(getVDigest)$algo)
+for (algo in algos) {
+  getVDigest(algo = algo)
+}
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/digest/tinytest/test_blake3.R
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/digest/tinytest/test_blake3.R	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/digest/tinytest/test_blake3.R	(revision 3761)
@@ -0,0 +1,63 @@
+suppressMessages(library(digest))
+
+isWindows <- Sys.info()[["sysname"]] == "Windows"
+
+res <- digest(charToRaw("test"), "blake3", serialize = FALSE)
+
+# generated using the blake3 rust implementation
+expected <- "4878ca0425c739fa427f7eda20fe845f6b2e46ba5fe2a14df5b1e32f50603215"
+expect_equal(
+  res,
+  expected
+)
+
+res <- digest(charToRaw("test"), "blake3", serialize = FALSE, raw = TRUE)
+expect_equal(
+  paste0(res, collapse = ""),
+  expected
+)
+
+## blake3 example
+blake3Input <-
+  c(
+    "abc",
+    "abcdbcdecdefdefgefghfghighijhijkijkljklmklmnlmnomnopnopq",
+    ""
+  )
+blake3Output <-
+  c(
+    "6437b3ac38465133ffb63b75273a8db548c558465d79db03fd359c6cd5bd9d85",
+    "c19012cc2aaf0dc3d8e5c45a1b79114d2df42abb2a410bf54be09e891af06ff8",
+    "af1349b9f5f9a1a6a0404dea36dcc9499bcb25c9adc112b7cc9a93cae41f3262"
+  )
+for (i in seq(along = blake3Input)) {
+  blake3 <- digest(blake3Input[i], algo = "blake3", serialize = FALSE)
+  expect_equal(
+    blake3,
+    blake3Output[i]
+  )
+}
+
+if (isWindows) exit_file("Skipping remainder on Windows platform")
+
+# test file
+# used the b3sum rust crate
+file <- tempfile()
+writeLines("test", file)
+res <- digest(file = file, algo = "blake3")
+try(file.remove(file))
+expect_equal(
+  res,
+  "dea2b412aa90f1b43a06ca5e8b8feafec45ae1357971322749480f4e1572eaa2"
+)
+
+# try another long text
+file <- tempfile()
+text <- paste0(rep(LETTERS, 1000), collapse = "-")
+writeLines(text, file)
+res <- digest(file = file, algo = "blake3")
+try(file.remove(file))
+expect_equal(
+  res,
+  "a84aef38d9a7ad55fa458d9d1857eb895832e358385e8b6466c6af54ea46eeaa"
+)
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/digest/tinytest/test_new_matrix_behaviour.R
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/digest/tinytest/test_new_matrix_behaviour.R	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/digest/tinytest/test_new_matrix_behaviour.R	(revision 3761)
@@ -0,0 +1,113 @@
+
+if (getRversion() >= '4.0.0') exit_file("Skip tests for R 4.0.0 or later")
+
+library(digest)
+
+x.numeric <- c(seq(0, 1, length = 4 ^ 3), -Inf, Inf, NA, NaN)
+x.list <- list(letters, x.numeric)
+x.dataframe <- data.frame(X = letters,
+                          Y = x.numeric[2],
+                          Z = factor(letters),
+                          stringsAsFactors = FALSE)
+x.matrix.num <- as.matrix(x.numeric)
+x.matrix.letter <- as.matrix(letters)
+x.dataframe.round <- x.dataframe
+x.dataframe.round$Y <- signif(x.dataframe.round$Y, 14)
+x.factor <- factor(letters)
+x.array.num <- as.array(x.numeric)
+x.formula <- a~b+c|d
+x.paren_formula <- a~(b+c)
+x.no_paren_formula <- a~b+c
+
+test.element <- list(
+    # NULL
+    NULL,
+    # empty classes
+    logical(0), integer(0), numeric(0), character(0), list(), data.frame(),
+    # scalar
+    TRUE, FALSE, 1L, 1, "a",
+    # date. Make sure to add the time zone. Otherwise the test might fail
+    as.POSIXct("2015-01-02 03:04:06.07", tz = "UTC"),
+    # vector
+    c(TRUE, FALSE), 1:3, seq(0, 10, length = 4), letters[1:3],
+    factor(letters[4:6]),
+    as.POSIXct(c("2015-01-02 03:04:06.07", "1960-12-31 23:59:59"), tz = "UTC")
+)
+
+expect_true(
+    identical(
+        sha1(x.matrix.num),
+        {
+            z <- matrix(
+                apply(x.matrix.num, 2, digest:::num2hex),
+                ncol = ncol(x.matrix.num)
+            )
+            z <- digest:::add_attributes(x.matrix.num, z)
+            attr(z, "digest::sha1") <- list(
+                class = "matrix",
+                digits = 14L,
+                zapsmall = 7L
+            )
+            digest(z, algo = "sha1")
+        }
+    )
+)
+
+expect_true(
+    identical(
+        sha1(x.matrix.letter),
+        {
+            z <- x.matrix.letter
+            attr(z, "digest::sha1") <- list(
+                class = "matrix",
+                digits = 14L,
+                zapsmall = 7L
+            )
+            digest(z, algo = "sha1")
+        }
+    )
+)
+
+correct <- c(
+    "8d9c05ec7ae28b219c4c56edbce6a721bd68af82",
+    "d61eeea290dd09c5a3eba41c2b3174b6e4e2366d",
+    "af23305d27f0409c91bdb86ba7c0cdb2e09a5dc6",
+    "0c9ca70ce773deb0d9c0b0579c3b94856edf15cc",
+    "095886422ad26e315c0960ef6b09842a1f9cc0ce",
+    "6cc04c6c432bb91e210efe0b25c6ca809e6df2e3",
+    "c1113ba008a349de64da2a7a724e501c1eb3929b",
+    "6e12370bdc6fc457cc154f0525e22c6aa6439f4d",
+    "1c1b5393c68a643bc79c277c6d7374d0b30cd985",
+    "b48c17a2ac82601ff38df374f87d76005fb61cbd",
+    "35280c99aa6a48bfc2810b72b763ccac0f632207",
+    "f757cc017308d217f35ed8f0c001a57b97308fb7",
+    "cfcf101b8449af67d34cdc1bcb0432fe9e4de08e",
+    "a14384d1997440bad13b97b3ccfb3b8c0392e79a",
+    "555f6bea49e58a2c2541060a21c2d4f9078c3086",
+    "631d18dec342e2cb87614864ba525ebb9ad6a124",
+    "b6c04f16b6fdacc794ea75c8c8dd210f99fafa65",
+    "25485ba7e315956267b3fdc521b421bbb046325d",
+    "6def3ca353dfc1a904bddd00e6a410d41ac7ab01",
+    "cf220bcf84c3d0ab1b01f8f764396941d15ff20f",
+    "2af8021b838f613aee7670bed19d0ddf1d6bc0c1",
+    "270ed85d46524a59e3274d89a1bbf693521cb6af",
+    "60e09482f12fda20f7d4a70e379c969c5a73f512",
+    "10380001af2a541b5feefc7aab9f719b67330a42",
+    "4580ff07f27eb8321421efac1676a80d9239572a",
+    "d3022c5a223caaf77e9c564e024199e5d6f51bd5",
+    "f54742ac61edd8c3980354620816c762b524dfc7"
+)
+
+for (i in seq_along(test.element)) {
+    if (i == 7 || i == 13 || i == 19) next
+    expect_true(
+        identical(
+            sha1(test.element[[i]]),
+            correct[i]
+        )
+    )
+}
+
+expect_true(
+    sha1(matrix(integer(0))) == "e13485e1b995f3e36d43674dcbfedea08ce237bc"
+)
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/digest/tinytest/test_encoding.R
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/digest/tinytest/test_encoding.R	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/digest/tinytest/test_encoding.R	(revision 3761)
@@ -0,0 +1,27 @@
+
+isWindows <- Sys.info()[["sysname"]] == "Windows"
+if (!isWindows) exit_file("Skipping test on non-Windows platform")
+
+d <- tempfile()
+dir.create(d)
+
+# A file path not representable in latin-1
+f <- file.path(d, "tricky-Å‘")
+
+# We need to use a binary mode connection so the newlines
+# are consistent across platforms
+con <- file(f, open = "wb")
+writeLines("foobar", con = con)
+close(con)
+
+expect_identical(digest::digest(file = f), "14758f1afd44c09b7992073ccf00b43d")
+
+expect_identical(digest::digest(f, file = TRUE), "14758f1afd44c09b7992073ccf00b43d")
+
+vd <- getVDigest()
+
+expect_identical(vd(file = f), "14758f1afd44c09b7992073ccf00b43d")
+
+expect_identical(vd(f, file = TRUE), "14758f1afd44c09b7992073ccf00b43d")
+
+unlink(d, recursive = TRUE)
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/digest/tinytest/test_num2hex.R
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/digest/tinytest/test_num2hex.R	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/digest/tinytest/test_num2hex.R	(revision 3761)
@@ -0,0 +1,68 @@
+## tests for digest, taken from the examples in the manual page
+
+suppressMessages(library(digest))
+
+
+# zap small numbers to zero
+zapsmall <- 1:10
+border <- 2 ^ floor(log2(10 ^ -zapsmall))
+expect_equal(
+    sapply(
+        seq_along(zapsmall),
+        function(i) { digest:::num2hex(border[i] * -1:1, digits = 6, zapsmall = zapsmall[i]) }
+    ),
+    matrix(
+        "0",
+        ncol = length(zapsmall),
+        nrow = 3
+    )
+)
+
+# handle 0 correct
+expect_equal(digest:::num2hex(0), "0")
+
+
+# digits are consistent
+x <- pi
+x.hex <- sapply(1:16, digest:::num2hex, x = x)
+x.hex <- x.hex[c(TRUE, diff(nchar(x.hex)) > 0)]
+exponent <-  unique(gsub("^[0-9a-f]* ", "", x.hex))
+expect_equal(length(exponent), 1L)
+
+mantissa <- gsub(" [0-9]*$", "", x.hex)
+ignore(expect_true)(all(
+    sapply(
+        head(seq_along(mantissa), -1),
+        function(i){
+            all(
+                grepl(
+                    paste0("^", mantissa[i], ".*"),
+                    tail(mantissa, -i)
+                )
+            )
+        }
+    )
+))
+
+#it keeps NA values
+x <- c(pi, NA, 0)
+expect_equal(is.na(digest:::num2hex(x)), is.na(x))
+
+x <- c(pi, NA, pi)
+expect_equal(is.na(digest:::num2hex(x)), is.na(x))
+
+x <- as.numeric(c(NA, NA, NA))
+expect_equal(is.na(digest:::num2hex(x)), is.na(x))
+
+
+# handles empty vectors
+expect_equal(digest:::num2hex(numeric(0)), character(0))
+
+
+# example from FAQ 7.31
+# tests if all trailing zero's are removed
+expect_true(identical(digest:::num2hex(2, digits = 14),
+                    digest:::num2hex(sqrt(2) ^ 2, digits = 14)))
+
+expect_true(!identical(digest:::num2hex(2, digits = 15),
+                     digest:::num2hex(sqrt(2) ^ 2, digits = 15)))
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/digest/tinytest/test_aes.R
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/digest/tinytest/test_aes.R	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/digest/tinytest/test_aes.R	(revision 3761)
@@ -0,0 +1,122 @@
+
+## tests for AES, taken from the examples in the manual page
+
+suppressMessages(library(digest))
+
+# FIPS-197 examples
+
+hextextToRaw <- function(text) {
+  vals <- matrix(as.integer(as.hexmode(strsplit(text, "")[[1]])), ncol=2, byrow=TRUE)
+  vals <- vals %*% c(16, 1)
+  as.raw(vals)
+}
+
+plaintext       <- hextextToRaw("00112233445566778899aabbccddeeff")
+
+aes128key       <- hextextToRaw("000102030405060708090a0b0c0d0e0f")
+aes128output    <- hextextToRaw("69c4e0d86a7b0430d8cdb78070b4c55a")
+aes <- AES(aes128key)
+#aes
+aes128 <- aes$encrypt(plaintext)
+#aes128
+expect_true(identical(aes128, aes128output))
+expect_true(identical(plaintext, aes$decrypt(aes128, raw=TRUE)))
+
+aes192key       <- hextextToRaw("000102030405060708090a0b0c0d0e0f1011121314151617")
+aes192output    <- hextextToRaw("dda97ca4864cdfe06eaf70a0ec0d7191")
+aes <- AES(aes192key)
+#aes
+aes192 <- aes$encrypt(plaintext)
+#aes192
+expect_true(identical(aes192, aes192output))
+expect_true(identical(plaintext, aes$decrypt(aes192, raw=TRUE)))
+
+aes256key       <- hextextToRaw("000102030405060708090a0b0c0d0e0f101112131415161718191a1b1c1d1e1f")
+aes256output     <- hextextToRaw("8ea2b7ca516745bfeafc49904b496089")
+aes <- AES(aes256key)
+aes256 <- aes$encrypt(plaintext)
+#aes256
+expect_true(identical(aes256, aes256output))
+expect_true(identical(plaintext, aes$decrypt(aes256, raw=TRUE)))
+
+# SP800-38a examples
+
+plaintext <- hextextToRaw(paste("6bc1bee22e409f96e93d7e117393172a",
+                                "ae2d8a571e03ac9c9eb76fac45af8e51",
+                                "30c81c46a35ce411e5fbc1191a0a52ef",
+                                "f69f2445df4f9b17ad2b417be66c3710",sep=""))
+key <- hextextToRaw("2b7e151628aed2a6abf7158809cf4f3c")
+
+ecb128output <- hextextToRaw(paste("3ad77bb40d7a3660a89ecaf32466ef97",
+                                   "f5d3d58503b9699de785895a96fdbaaf",
+                                   "43b1cd7f598ece23881b00e3ed030688",
+                                   "7b0c785e27e8ad3f8223207104725dd4",sep=""))
+aes <- AES(key)
+ecb128 <- aes$encrypt(plaintext)
+#ecb128
+expect_true(identical(ecb128, ecb128output))
+expect_true(identical(plaintext, aes$decrypt(ecb128, raw=TRUE)))
+
+cbc128output <- hextextToRaw(paste("7649abac8119b246cee98e9b12e9197d",
+                                    "5086cb9b507219ee95db113a917678b2",
+                                    "73bed6b8e3c1743b7116e69e22229516",
+                                    "3ff1caa1681fac09120eca307586e1a7",sep=""))
+iv <- hextextToRaw("000102030405060708090a0b0c0d0e0f")
+aes <- AES(key, mode="CBC", IV=iv)
+cbc128 <- aes$encrypt(plaintext)
+#cbc128
+expect_true(identical(cbc128, cbc128output))
+aes <- AES(key, mode="CBC", IV=iv)
+expect_true(identical(plaintext, aes$decrypt(cbc128, raw=TRUE)))
+
+ctr128output <- hextextToRaw(paste("874d6191b620e3261bef6864990db6ce",
+                                   "9806f66b7970fdff8617187bb9fffdff",
+                                   "5ae4df3edbd5d35e5b4f09020db03eab",
+                                   "1e031dda2fbe03d1792170a0f3009cee",sep=""))
+iv <- hextextToRaw("f0f1f2f3f4f5f6f7f8f9fafbfcfdfeff")
+aes <- AES(key, mode="CTR", IV=iv)
+ctr128 <- aes$encrypt(plaintext)
+#ctr128
+expect_true(identical(ctr128, ctr128output))
+aes <- AES(key, mode="CTR", IV=iv)
+expect_true(identical(plaintext, aes$decrypt(ctr128, raw=TRUE)))
+
+#cfb 
+key <- hextextToRaw("2b7e151628aed2a6abf7158809cf4f3c")
+iv <- hextextToRaw("000102030405060708090a0b0c0d0e0f")
+#cfb not a multiplier of 16
+text <- "This is very secret string"
+key <- hextextToRaw("2b7e151628aed2a6abf7158809cf4f3c")
+iv <- hextextToRaw("000102030405060708090a0b0c0d0e0f")
+
+cfb128output <- hextextToRaw(paste("04960ebfb9044196ac6c4590bbdc8903",
+                                   "e1259a479e199af94518",sep=""))
+aes <- AES(key, mode="CFB", IV=iv)
+cfb128 <- aes$encrypt(text)
+expect_true(identical(cfb128, cfb128output))
+aes <- AES(key, mode="CFB", IV=iv)
+expect_true(identical(text, aes$decrypt(cfb128, raw=FALSE)))
+
+#cfb128
+cfb128output <- hextextToRaw(paste("3b3fd92eb72dad20333449f8e83cfb4a",
+                                   "c8a64537a0b3a93fcde3cdad9f1ce58b",
+                                   "26751f67a3cbb140b1808cf187a4f4df",
+                                   "c04b05357c5d1c0eeac4c66f9ff7f2e6",sep=""))
+aes <- AES(key, mode="CFB", IV=iv)
+cfb128 <- aes$encrypt(plaintext)
+expect_true(identical(cfb128, cfb128output))
+aes <- AES(key, mode="CFB", IV=iv)
+expect_true(identical(plaintext, aes$decrypt(cfb128, raw=TRUE)))
+
+# test throws exeception on IV null or not a multiplier of 16 bytes
+aes <- AES(key, mode="CFB", IV=NULL)
+expect_error(aes$encrypt(plaintext))
+expect_error(aes$decrypt(plaintext))
+
+aes <- AES(key, mode="CFB", IV=raw(15))
+expect_error(aes$encrypt(plaintext))
+expect_error(aes$decrypt(plaintext))
+
+
+
+
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/digest/tinytest/test_hmac.R
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/digest/tinytest/test_hmac.R	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/digest/tinytest/test_hmac.R	(revision 3761)
@@ -0,0 +1,88 @@
+
+## tests for hmac, taken from the examples in the manual page
+
+suppressMessages(library(digest))
+
+## Standard RFC 2104 test vectors
+current <- hmac('Jefe', 'what do ya want for nothing?', "md5")
+target <- '750c783e6ab0b503eaa86e310a5db738'
+expect_true(identical(target, as.character(current)))
+#cat(current, "\n")
+
+current <- hmac('Jefe', 'what do ya want for nothing?', "md5")
+target <- '750c783e6ab0b503eaa86e310a5db738'
+expect_true(identical(target, as.character(current)))
+#cat(current, "\n")
+
+current <- hmac(rep(0x0b, 16), 'Hi There', "md5")
+target <- '9294727a3638bb1c13f48ef8158bfc9d'
+expect_true(identical(target, as.character(current)))
+#cat(current, "\n")
+
+current <- hmac(rep(0xaa, 16), rep(0xdd, 50), "md5")
+target <- '56be34521d144c88dbb8c733f0e8b3f6'
+expect_true(identical(target, as.character(current)))
+#cat(current, "\n")
+
+
+## test for key longer than block size. key should be hashed itself.
+current <- hmac('ThisKeyIsLongerThan64BytesAndThereforeLongerThanTheHashDigestByFour', 'what do ya want for nothing?', "md5")
+target <- '109af8ddd9cccbf8927d354da8be892b'
+expect_true(identical(target, as.character(current)))
+#cat(current, "\n")
+
+## SHA1 tests inspired to the RFC 2104 and checked against the python
+## hmac implementation.
+current <- hmac('Jefe', 'what do ya want for nothing?', "sha1")
+target <- 'effcdf6ae5eb2fa2d27416d5f184df9c259a7c79'
+expect_true(identical(target, as.character(current)))
+#cat(current, "\n")
+
+current <- hmac(rep(0x0b, 16), 'Hi There', "sha1")
+target <- '675b0b3a1b4ddf4e124872da6c2f632bfed957e9'
+expect_true(identical(target, as.character(current)))
+#cat(current, "\n")
+
+current <- hmac(rep(0xaa, 16), rep(0xdd, 50), "sha1")
+target <- 'd730594d167e35d5956fd8003d0db3d3f46dc7bb'
+expect_true(identical(target, as.character(current)))
+#cat(current, "\n")
+
+## SHA256 tests from wikipedia
+current <- hmac('key', 'The quick brown fox jumps over the lazy dog', 'sha256')
+target <- 'f7bc83f430538424b13298e6aa6fb143ef4d59a14946175997479dbc2d1a3cd8'
+expect_true(identical(target, as.character(current)))
+#cat(current, "\n")
+
+## SHA512 tests inspired, one from RFC 2104 and one from user, checked against python hmac
+# python code:
+# from hashlib import sha512
+# import hmac
+# print(hmac.new("love","message",sha512).hexdigest())
+
+current <- hmac('Jefe', 'what do ya want for nothing?', "sha512")
+target <- '164b7a7bfcf819e2e395fbe73b56e0a387bd64222e831fd610270cd7ea2505549758bf75c05a994a6d034f65f8f0e6fdcaeab1a34d4a6b4b636e070a38bce737'
+expect_true(identical(target, as.character(current)))
+#cat(current, "\n")
+
+current <- hmac('love', 'message', 'sha512')
+target <- 'f955821b3f6161673eb20985c677e3dc101860cafef3321ee31641acad9fcd85d9c7d3481ed3e4e1f4fa7af41d7e6ea9606d51e9bc7205d0091a4ee87d90fb9c'
+expect_true(identical(target, as.character(current)))
+#cat(current, "\n")
+
+## test for key longer than block size. key should be hashed itself.
+current <- hmac('verylongkeyinfactlongerthanthedigestandthereforehashedbyitselfonlyifwegettothislengthsoonpleasepleasebutiddoesnotlooksoogoodahthereweare', 'message', 'sha512')
+target <- '54b274484a8b8a371c8ae898f453d37c90d488b0c88c89dd705de06b18263d50c28069f1f778c8a997a61a4d53a06bc8e8719ad11a553c49140bb93a4636882e'
+expect_true(identical(target, as.character(current)))
+#cat(current, "\n")
+
+
+## motivated by coverage report
+rw <- charToRaw("123456789ABCDEF")
+expect_true(all.equal(makeRaw(rw), rw))
+
+current <- hmac('Jefe', 'what do ya want for nothing?', "md5", raw=TRUE)
+target <- as.raw(c(0x75, 0x0c, 0x78, 0x3e, 0x6a, 0xb0, 0xb5, 0x03, 0xea, 0xa8, 0x6e, 0x31, 0x0a, 0x5d, 0xb7, 0x38))
+expect_true(identical(target, current))
+
+#digest:::padWithZeros(rw, "crc32")
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/digest/tinytest/test_raw.R
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/digest/tinytest/test_raw.R	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/digest/tinytest/test_raw.R	(revision 3761)
@@ -0,0 +1,20 @@
+
+## tests for raw output
+
+suppressMessages(library(digest))
+
+
+current <- hmac("Jefe", 'what do ya want for nothing?', "md5", raw=TRUE)
+expected <- as.raw(c(0x75, 0x0c, 0x78, 0x3e, 0x6a, 0xb0, 0xb5, 0x03, 0xea,
+                     0xa8, 0x6e, 0x31, 0x0a, 0x5d, 0xb7, 0x38))
+expect_equal(current, expected)
+
+
+current <- digest("The quick brown fox", algo="sha1", raw=TRUE)
+expected <- as.raw(c(0x5f, 0x79, 0x8c, 0xb4, 0xd8, 0x14, 0x4e, 0xec, 0x35,
+                     0xf4, 0xd0, 0x79, 0x3e, 0xf2, 0x1e, 0x55, 0xce, 0xb6, 0xa7, 0x88))
+expect_equal(current, expected)
+
+
+## feed raw to sha1() to test sha1.raw() as well
+expect_true(sha1(expected) == "75a2995eeec0fcb5d7fa97c676a37f4e224981a1")
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/digest/demo/vectorised.R
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/digest/demo/vectorised.R	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/digest/demo/vectorised.R	(revision 3761)
@@ -0,0 +1,34 @@
+library(digest)
+
+#vectorisation
+md5 <- getVDigest()
+digest2 <- base::Vectorize(digest)
+x <- rep(letters, 1e3)
+rbenchmark::benchmark(
+    vdigest = md5(x, serialize = FALSE),
+    Vectorize = digest2(x, serialize = FALSE),
+    vapply = vapply(x, digest, character(1), serialize = FALSE),
+    replications = 5
+)[,1:4]
+all(md5(x, serialize=FALSE) == digest2(x, serialize=FALSE))
+all(md5(x, serialize=FALSE) == vapply(x, digest, character(1), serialize = FALSE))
+
+#repeated calls
+stretch_key <- function(d, n) {
+    md5 <- getVDigest()
+    for (i in seq_len(n))
+        d <- md5(d, serialize = FALSE)
+    d
+}
+
+stretch_key2 <- function(d, n) {
+    for (i in seq_len(n))
+        d <- digest(d, serialize = FALSE)
+    d
+}
+rbenchmark::benchmark(
+    vdigest = stretch_key('abc123', 65e3),
+    plaindigest = stretch_key2('abc123', 65e3),
+    replications = 10
+)[,1:4]
+stretch_key('abc123', 65e3) == stretch_key2('abc123', 65e3)
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/digest/html/R.css
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/digest/html/R.css	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/digest/html/R.css	(revision 3761)
@@ -0,0 +1,120 @@
+@media screen {
+    .container {
+	padding-right: 10px;
+	padding-left: 10px;
+	margin-right: auto;
+	margin-left: auto;
+	max-width: 900px;
+    }
+}
+
+.rimage img { /* from knitr - for examples and demos */
+    width: 96%;
+    margin-left: 2%;
+} 	
+
+.katex { font-size: 1.1em; }
+
+code {
+    color: inherit;
+    background: inherit;
+}
+
+body {
+    line-height: 1.4;
+    background: white;
+    color: black;
+}
+
+a:link {
+    background: white;
+    color: blue;
+}
+
+a:visited {
+    background: white;
+    color: rgb(50%, 0%, 50%);
+}
+
+h1 {
+    background: white;
+    color: rgb(55%, 55%, 55%);
+    font-family: monospace;
+    font-size: 1.4em; /* x-large; */
+    text-align: center;
+}
+
+h2 {
+    background: white;
+    color: rgb(40%, 40%, 40%);
+    font-family: monospace;
+    font-size: 1.2em; /* large; */
+    text-align: center;
+}
+
+h3 {
+    background: white;
+    color: rgb(40%, 40%, 40%);
+    font-family: monospace;
+    font-size: 1.2em; /* large; */
+}
+
+h4 {
+    background: white;
+    color: rgb(40%, 40%, 40%);
+    font-family: monospace;
+    font-style: italic;
+    font-size: 1.2em; /* large; */
+}
+
+h5 {
+    background: white;
+    color: rgb(40%, 40%, 40%);
+    font-family: monospace;
+}
+
+h6 {
+    background: white;
+    color: rgb(40%, 40%, 40%);
+    font-family: monospace;
+    font-style: italic;
+}
+
+img.toplogo {
+    width: 4em;
+    vertical-align: middle;
+}
+
+img.arrow {
+    width: 30px;
+    height: 30px;
+    border: 0;
+}
+
+span.acronym {
+    font-size: small;
+}
+
+span.env {
+    font-family: monospace;
+}
+
+span.file {
+    font-family: monospace;
+}
+
+span.option{
+    font-family: monospace;
+}
+
+span.pkg {
+    font-weight: bold;
+}
+
+span.samp{
+    font-family: monospace;
+}
+
+div.vignettes a:hover {
+    background: rgb(85%, 85%, 85%);
+}
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/digest/html/00Index.html
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/digest/html/00Index.html	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/digest/html/00Index.html	(revision 3761)
@@ -0,0 +1,97 @@
+<!DOCTYPE html>
+<html>
+<head><title>R: Create Compact Hash Digests of R Objects</title>
+<meta http-equiv="Content-Type" content="text/html; charset=utf-8" />
+<meta name="viewport" content="width=device-width, initial-scale=1.0, user-scalable=yes" />
+<link rel="stylesheet" type="text/css" href="R.css" />
+</head><body><div class="container">
+<h1> Create Compact Hash Digests of R Objects
+<img class="toplogo" src="../../../doc/html/Rlogo.svg" alt="[R logo]" />
+</h1>
+<hr/>
+<div style="text-align: center;">
+<a href="../../../doc/html/packages.html"><img class="arrow" src="../../../doc/html/left.jpg" alt="[Up]" /></a>
+<a href="../../../doc/html/index.html"><img class="arrow" src="../../../doc/html/up.jpg" alt="[Top]" /></a>
+</div><h2>Documentation for package &lsquo;digest&rsquo; version 0.6.31</h2>
+
+<ul><li><a href="../DESCRIPTION">DESCRIPTION file</a>.</li>
+<li><a href="../doc/index.html">User guides, package vignettes and other documentation.</a></li>
+<li><a href="../demo">Code demos</a>.  Use <a href="../../utils/help/demo">demo()</a> to run them.</li>
+</ul>
+
+<h2>Help Pages</h2>
+
+
+<table style="width: 100%;">
+<tr><td style="width: 25%;"><a href="AES.html">AES</a></td>
+<td>Create AES block cipher object</td></tr>
+<tr><td style="width: 25%;"><a href="digest.html">digest</a></td>
+<td>Create hash function digests for arbitrary R objects or files</td></tr>
+<tr><td style="width: 25%;"><a href="digest2int.html">digest2int</a></td>
+<td>hash arbitrary string to integer</td></tr>
+<tr><td style="width: 25%;"><a href="vdigest.html">getVDigest</a></td>
+<td>Set a vectorised function for creating hash function digests</td></tr>
+<tr><td style="width: 25%;"><a href="hmac.html">hmac</a></td>
+<td>compute a hash-based message authentication code</td></tr>
+<tr><td style="width: 25%;"><a href="makeRaw.html">makeRaw</a></td>
+<td>Create a raw object</td></tr>
+<tr><td style="width: 25%;"><a href="makeRaw.html">makeRaw.character</a></td>
+<td>Create a raw object</td></tr>
+<tr><td style="width: 25%;"><a href="makeRaw.html">makeRaw.default</a></td>
+<td>Create a raw object</td></tr>
+<tr><td style="width: 25%;"><a href="makeRaw.html">makeRaw.digest</a></td>
+<td>Create a raw object</td></tr>
+<tr><td style="width: 25%;"><a href="makeRaw.html">makeRaw.raw</a></td>
+<td>Create a raw object</td></tr>
+<tr><td style="width: 25%;"><a href="sha1.html">sha1</a></td>
+<td>Calculate a SHA1 hash of an object</td></tr>
+<tr><td style="width: 25%;"><a href="sha1.html">sha1.(</a></td>
+<td>Calculate a SHA1 hash of an object</td></tr>
+<tr><td style="width: 25%;"><a href="sha1.html">sha1.anova</a></td>
+<td>Calculate a SHA1 hash of an object</td></tr>
+<tr><td style="width: 25%;"><a href="sha1.html">sha1.array</a></td>
+<td>Calculate a SHA1 hash of an object</td></tr>
+<tr><td style="width: 25%;"><a href="sha1.html">sha1.call</a></td>
+<td>Calculate a SHA1 hash of an object</td></tr>
+<tr><td style="width: 25%;"><a href="sha1.html">sha1.character</a></td>
+<td>Calculate a SHA1 hash of an object</td></tr>
+<tr><td style="width: 25%;"><a href="sha1.html">sha1.complex</a></td>
+<td>Calculate a SHA1 hash of an object</td></tr>
+<tr><td style="width: 25%;"><a href="sha1.html">sha1.data.frame</a></td>
+<td>Calculate a SHA1 hash of an object</td></tr>
+<tr><td style="width: 25%;"><a href="sha1.html">sha1.Date</a></td>
+<td>Calculate a SHA1 hash of an object</td></tr>
+<tr><td style="width: 25%;"><a href="sha1.html">sha1.factor</a></td>
+<td>Calculate a SHA1 hash of an object</td></tr>
+<tr><td style="width: 25%;"><a href="sha1.html">sha1.formula</a></td>
+<td>Calculate a SHA1 hash of an object</td></tr>
+<tr><td style="width: 25%;"><a href="sha1.html">sha1.function</a></td>
+<td>Calculate a SHA1 hash of an object</td></tr>
+<tr><td style="width: 25%;"><a href="sha1.html">sha1.integer</a></td>
+<td>Calculate a SHA1 hash of an object</td></tr>
+<tr><td style="width: 25%;"><a href="sha1.html">sha1.list</a></td>
+<td>Calculate a SHA1 hash of an object</td></tr>
+<tr><td style="width: 25%;"><a href="sha1.html">sha1.logical</a></td>
+<td>Calculate a SHA1 hash of an object</td></tr>
+<tr><td style="width: 25%;"><a href="sha1.html">sha1.matrix</a></td>
+<td>Calculate a SHA1 hash of an object</td></tr>
+<tr><td style="width: 25%;"><a href="sha1.html">sha1.name</a></td>
+<td>Calculate a SHA1 hash of an object</td></tr>
+<tr><td style="width: 25%;"><a href="sha1.html">sha1.NULL</a></td>
+<td>Calculate a SHA1 hash of an object</td></tr>
+<tr><td style="width: 25%;"><a href="sha1.html">sha1.numeric</a></td>
+<td>Calculate a SHA1 hash of an object</td></tr>
+<tr><td style="width: 25%;"><a href="sha1.html">sha1.pairlist</a></td>
+<td>Calculate a SHA1 hash of an object</td></tr>
+<tr><td style="width: 25%;"><a href="sha1.html">sha1.POSIXct</a></td>
+<td>Calculate a SHA1 hash of an object</td></tr>
+<tr><td style="width: 25%;"><a href="sha1.html">sha1.POSIXlt</a></td>
+<td>Calculate a SHA1 hash of an object</td></tr>
+<tr><td style="width: 25%;"><a href="sha1.html">sha1.raw</a></td>
+<td>Calculate a SHA1 hash of an object</td></tr>
+<tr><td style="width: 25%;"><a href="sha1.html">sha1_attr_digest</a></td>
+<td>Calculate a SHA1 hash of an object</td></tr>
+<tr><td style="width: 25%;"><a href="sha1.html">sha1_digest</a></td>
+<td>Calculate a SHA1 hash of an object</td></tr>
+</table>
+</div></body></html>
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/digest/doc/index.html
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/digest/doc/index.html	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/digest/doc/index.html	(revision 3761)
@@ -0,0 +1,29 @@
+<!DOCTYPE html>
+<html>
+<head><title>R: Vignettes and other documentation</title>
+<meta http-equiv="Content-Type" content="text/html; charset=utf-8" />
+<meta name="viewport" content="width=device-width, initial-scale=1.0, user-scalable=yes" />
+<link rel="stylesheet" type="text/css" href="/doc/html/R.css" />
+</head><body><div class="container">
+<h1> Vignettes and other documentation
+<img class="toplogo" src="/doc/html/Rlogo.svg" alt="[R logo]" />
+</h1>
+<hr/>
+<div style="text-align: center;">
+<a href="/doc/html/index.html"><img class="arrow" src="/doc/html/up.jpg" alt="[Top]" /></a>
+</div>
+<h2>Vignettes from package 'digest'</h2>
+<table style="width: 100%;">
+<col style="width: 22%;" />
+<col style="width:  2%;" />
+<col style="width: 50%;" />
+<col style="width:  8%;" />
+<col style="width:  8%;" />
+<col style="width:  8%;" />
+<tr><td style="text-align: right; vertical-align: top;"><a href="../../../library/digest/doc/sha1.html">digest::sha1</a></td>
+<td></td><td style="vertical-align: top;">sha1() versus digest()</td>
+<td style="vertical-align: top;"><a href="../../../library/digest/doc/sha1.html">HTML</a></td>
+<td style="vertical-align: top;"><a href="../../../library/digest/doc/sha1.md">source</a></td>
+<td style="vertical-align: top; white-space: nowrap"><a href="../../../library/digest/doc/sha1.R">R code</a></td></tr>
+</table>
+</div></body></html>
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/digest/doc/sha1.md
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/digest/doc/sha1.md	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/digest/doc/sha1.md	(revision 3761)
@@ -0,0 +1,193 @@
+<!--
+%\VignetteIndexEntry{sha1() versus digest()}
+%\VignetteEngine{simplermarkdown::mdweave_to_html}
+%\VignetteEncoding{UTF-8}
+-->
+---
+title: "Calculating SHA1 hashes with digest() and sha1()"
+author: "Thierry Onkelinx and Dirk Eddelbuettel"
+date: "Written Jan 2016, updated Jan 2018 and Oct 2020"
+css: "water.css"
+---
+
+NB: This vignette is (still) work-in-progress and not yet complete.
+
+## Short intro on hashes
+
+TBD
+
+## Difference between `digest()` and `sha1()`
+
+R [FAQ 7.31](https://cran.r-project.org/doc/FAQ/R-FAQ.html#Why-doesn_0027t-R-think-these-numbers-are-equal_003f) illustrates potential problems with floating point arithmetic. Mathematically the equality $x = \sqrt{x}^2$ should hold. But the precision of floating points numbers is finite. Hence some rounding is done, leading to numbers which are no longer identical.
+
+An illustration:
+
+```{#faq7_31 .R} 
+# FAQ 7.31
+a0 <- 2
+b <- sqrt(a0)
+a1 <- b ^ 2
+identical(a0, a1)
+a0 - a1
+a <- c(a0, a1)
+# hexadecimal representation
+sprintf("%a", a)
+```
+
+Although the difference is small, any difference will result in different hash when using the `digest()` function. 
+However, the `sha1()` function tackles this problem by using the hexadecimal representation of the numbers and truncates 
+that representation to a certain number of digits prior to calculating the hash function. 
+
+```{#faq7_31digest .R}
+library(digest)
+# different hashes with digest
+sapply(a, digest, algo = "sha1")
+# same hash with sha1 with default digits (14)
+sapply(a, sha1)
+# larger digits can lead to different hashes
+sapply(a, sha1, digits = 15)
+# decreasing the number of digits gives a stronger truncation
+# the hash will change when then truncation gives a different result
+# case where truncating gives same hexadecimal value
+sapply(a, sha1, digits = 13)
+sapply(a, sha1, digits = 10)
+# case where truncating gives different hexadecimal value
+c(sha1(pi), sha1(pi, digits = 13), sha1(pi, digits = 10))
+```
+
+The result of floating point arithematic on 32-bit and 64-bit can be slightly different. E.g. `print(pi ^ 11, 22)` returns `294204.01797389047` on 32-bit and `294204.01797389053` on 64-bit. Note that only the last 2 digits are different.  
+
+| command | 32-bit | 64-bit|
+| - | - | - |
+| `print(pi ^ 11, 22)` | `294204.01797389047` | `294204.01797389053` |
+| `sprintf("%a", pi ^ 11)`| `"0x1.1f4f01267bf5fp+18"` | `"0x1.1f4f01267bf6p+18"` |
+| `digest(pi ^ 11, algo = "sha1")` | `"c5efc7f167df1bb402b27cf9b405d7cebfba339a"` | `"b61f6fea5e2a7952692cefe8bba86a00af3de713"`|
+| `sha1(pi ^ 11, digits = 14)` | `"5c7740500b8f78ec2354ea6af58ea69634d9b7b1"` | `"4f3e296b9922a7ddece2183b1478d0685609a359"` |
+| `sha1(pi ^ 11, digits = 13)` | `"372289f87396b0877ccb4790cf40bcb5e658cad7"` | `"372289f87396b0877ccb4790cf40bcb5e658cad7"` |
+| `sha1(pi ^ 11, digits = 10)` | `"c05965af43f9566bfb5622f335817f674abfc9e4"` | `"c05965af43f9566bfb5622f335817f674abfc9e4"` |
+
+## Choosing `digest()` or `sha1()`
+
+TBD
+
+## Creating a sha1 method for other classes
+
+### How to
+
+1. Identify the relevant components for the hash.
+1. Determine the class of each relevant component and check if they are handled by `sha1()`.
+    - Write a method for each component class not yet handled by `sha1`.
+1. Extract the relevant components.
+1. Combine the relevant components into a list. Not required in case of a single component.
+1. Apply `sha1()` on the (list of) relevant component(s).
+1. Turn this into a function with name sha1._classname_.
+1. sha1._classname_ needs exactly the same arguments as `sha1()`
+1. Choose sensible defaults for the arguments
+    - `zapsmall = 7` is recommended.
+    - `digits = 14` is recommended in case all numerics are data.
+    - `digits = 4` is recommended in case some numerics stem from floating point arithmetic.
+
+###  summary.lm
+
+Let's illustrate this using the summary of a simple linear regression. Suppose that we want a hash that takes into account the coefficients, their standard error and sigma.
+
+```{#sha1_lm_sum .R}
+# taken from the help file of lm.influence
+lm_SR <- lm(sr ~ pop15 + pop75 + dpi + ddpi, data = LifeCycleSavings)
+lm_sum <- summary(lm_SR)
+class(lm_sum)
+# str() gives the structure of the lm object
+str(lm_sum)
+# extract the coefficients and their standard error
+coef_sum <- coef(lm_sum)[, c("Estimate", "Std. Error")]
+# extract sigma
+sigma <- lm_sum$sigma
+# check the class of each component
+class(coef_sum)
+class(sigma)
+# sha1() has methods for both matrix and numeric
+# because the values originate from floating point arithmetic it is better to use a low number of digits
+sha1(coef_sum, digits = 4)
+sha1(sigma, digits = 4)
+# we want a single hash
+# combining the components in a list is a solution that works
+sha1(list(coef_sum, sigma), digits = 4)
+# now turn everything into an S3 method
+#   - a function with name "sha1.classname"
+#   - must have the same arguments as sha1()
+sha1.summary.lm <- function(x, digits = 4, zapsmall = 7){
+    coef_sum <- coef(x)[, c("Estimate", "Std. Error")]
+    sigma <- x$sigma
+    combined <- list(coef_sum, sigma)
+    sha1(combined, digits = digits, zapsmall = zapsmall)
+}
+sha1(lm_sum)
+
+# try an altered dataset
+LCS2 <- LifeCycleSavings[rownames(LifeCycleSavings) != "Zambia", ]
+lm_SR2 <- lm(sr ~ pop15 + pop75 + dpi + ddpi, data = LCS2)
+sha1(summary(lm_SR2))
+```
+
+###  lm
+
+Let's illustrate this using the summary of a simple linear regression. Suppose that we want a hash that takes into account the coefficients, their standard error and sigma.
+
+```{#sha1_lm .R}
+class(lm_SR)
+# str() gives the structure of the lm object
+str(lm_SR)
+# extract the model and the terms
+lm_model <- lm_SR$model
+lm_terms <- lm_SR$terms
+# check their class
+class(lm_model) # handled by sha1()
+class(lm_terms) # not handled by sha1()
+# define a method for formula
+sha1.formula <- function(x, digits = 14, zapsmall = 7, ..., algo = "sha1"){
+    sha1(as.character(x), digits = digits, zapsmall = zapsmall, algo = algo)
+}
+sha1(lm_terms)
+sha1(lm_model)
+# define a method for lm
+sha1.lm <- function(x, digits = 14, zapsmall = 7, ..., algo = "sha1"){
+    lm_model <- x$model
+    lm_terms <- x$terms
+    combined <- list(lm_model, lm_terms)
+    sha1(combined, digits = digits, zapsmall = zapsmall, ..., algo = algo)
+}
+sha1(lm_SR)
+sha1(lm_SR2)
+```
+
+## Using hashes to track changes in analysis
+
+Use case
+
+- automated analysis
+- update frequency of the data might be lower than the frequency of automated analysis
+- similar analyses on many datasets (e.g. many species in ecology)
+- analyses that require a lot of computing time
+    - not rerunning an analysis because nothing has changed saves enough resources to compensate the overhead of tracking changes
+
+- Bundle all relevant information on an analysis in a class
+    - data
+    - method
+    - formula
+    - other metadata
+    - resulting model
+- calculate `sha1()`
+
+    file fingerprint
+      ~ `sha1()` on the stable parts
+    
+    status fingerprint
+      ~ `sha1()` on the parts that result for the model
+
+1. Prepare analysis objects
+1. Store each analysis object in a rda file which uses the file fingerprint as filename
+    - File will already exist when no change in analysis
+    - Don't overwrite existing files
+1. Loop over all rda files
+    - Do nothing if the analysis was run
+    - Otherwise run the analysis and update the status and status fingerprint
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/digest/doc/sha1.R
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/digest/doc/sha1.R	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/digest/doc/sha1.R	(revision 3761)
@@ -0,0 +1,90 @@
+# faq7_31
+# FAQ 7.31
+a0 <- 2
+b <- sqrt(a0)
+a1 <- b ^ 2
+identical(a0, a1)
+a0 - a1
+a <- c(a0, a1)
+# hexadecimal representation
+sprintf("%a", a)
+
+# faq7_31digest
+library(digest)
+# different hashes with digest
+sapply(a, digest, algo = "sha1")
+# same hash with sha1 with default digits (14)
+sapply(a, sha1)
+# larger digits can lead to different hashes
+sapply(a, sha1, digits = 15)
+# decreasing the number of digits gives a stronger truncation
+# the hash will change when then truncation gives a different result
+# case where truncating gives same hexadecimal value
+sapply(a, sha1, digits = 13)
+sapply(a, sha1, digits = 10)
+# case where truncating gives different hexadecimal value
+c(sha1(pi), sha1(pi, digits = 13), sha1(pi, digits = 10))
+
+# sha1_lm_sum
+# taken from the help file of lm.influence
+lm_SR <- lm(sr ~ pop15 + pop75 + dpi + ddpi, data = LifeCycleSavings)
+lm_sum <- summary(lm_SR)
+class(lm_sum)
+# str() gives the structure of the lm object
+str(lm_sum)
+# extract the coefficients and their standard error
+coef_sum <- coef(lm_sum)[, c("Estimate", "Std. Error")]
+# extract sigma
+sigma <- lm_sum$sigma
+# check the class of each component
+class(coef_sum)
+class(sigma)
+# sha1() has methods for both matrix and numeric
+# because the values originate from floating point arithmetic it is better to use a low number of digits
+sha1(coef_sum, digits = 4)
+sha1(sigma, digits = 4)
+# we want a single hash
+# combining the components in a list is a solution that works
+sha1(list(coef_sum, sigma), digits = 4)
+# now turn everything into an S3 method
+#   - a function with name "sha1.classname"
+#   - must have the same arguments as sha1()
+sha1.summary.lm <- function(x, digits = 4, zapsmall = 7){
+    coef_sum <- coef(x)[, c("Estimate", "Std. Error")]
+    sigma <- x$sigma
+    combined <- list(coef_sum, sigma)
+    sha1(combined, digits = digits, zapsmall = zapsmall)
+}
+sha1(lm_sum)
+
+# try an altered dataset
+LCS2 <- LifeCycleSavings[rownames(LifeCycleSavings) != "Zambia", ]
+lm_SR2 <- lm(sr ~ pop15 + pop75 + dpi + ddpi, data = LCS2)
+sha1(summary(lm_SR2))
+
+# sha1_lm
+class(lm_SR)
+# str() gives the structure of the lm object
+str(lm_SR)
+# extract the model and the terms
+lm_model <- lm_SR$model
+lm_terms <- lm_SR$terms
+# check their class
+class(lm_model) # handled by sha1()
+class(lm_terms) # not handled by sha1()
+# define a method for formula
+sha1.formula <- function(x, digits = 14, zapsmall = 7, ..., algo = "sha1"){
+    sha1(as.character(x), digits = digits, zapsmall = zapsmall, algo = algo)
+}
+sha1(lm_terms)
+sha1(lm_model)
+# define a method for lm
+sha1.lm <- function(x, digits = 14, zapsmall = 7, ..., algo = "sha1"){
+    lm_model <- x$model
+    lm_terms <- x$terms
+    combined <- list(lm_model, lm_terms)
+    sha1(combined, digits = digits, zapsmall = zapsmall, ..., algo = algo)
+}
+sha1(lm_SR)
+sha1(lm_SR2)
+
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/digest/doc/sha1.html
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/digest/doc/sha1.html	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/digest/doc/sha1.html	(revision 3761)
@@ -0,0 +1,512 @@
+<!DOCTYPE html>
+<html xmlns="http://www.w3.org/1999/xhtml" lang xml:lang>
+<head>
+  <meta charset="utf-8" />
+  <meta name="generator" content="pandoc" />
+  <meta name="viewport" content="width=device-width, initial-scale=1.0, user-scalable=yes" />
+  <meta name="author" content="Thierry Onkelinx and Dirk Eddelbuettel" />
+  <title>Calculating SHA1 hashes with digest() and sha1()</title>
+  <style>
+    code{white-space: pre-wrap;}
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+    .display.math{display: block; text-align: center; margin: 0.5rem auto;}
+  </style>
+  <style type="text/css">
+body {
+max-width: 50rem;
+margin-left: auto;
+margin-right: auto;
+font-family: system-ui;
+}
+
+code {
+padding: 2px;
+border-radius: unset;
+}
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+</style>
+  <!--[if lt IE 9]>
+    <script src="//cdnjs.cloudflare.com/ajax/libs/html5shiv/3.7.3/html5shiv-printshiv.min.js"></script>
+  <![endif]-->
+</head>
+<body>
+<header id="title-block-header">
+<h1 class="title">Calculating SHA1 hashes with digest() and sha1()</h1>
+<p class="author">Thierry Onkelinx and Dirk Eddelbuettel</p>
+<p class="date">Written Jan 2016, updated Jan 2018 and Oct 2020</p>
+</header>
+<!--
+%\VignetteIndexEntry{sha1() versus digest()}
+%\VignetteEngine{simplermarkdown::mdweave_to_html}
+%\VignetteEncoding{UTF-8}
+-->
+<p>NB: This vignette is (still) work-in-progress and not yet complete.</p>
+<h2 id="short-intro-on-hashes">Short intro on hashes</h2>
+<p>TBD</p>
+<h2 id="difference-between-digest-and-sha1">Difference between <code>digest()</code> and <code>sha1()</code></h2>
+<p>R <a href="https://cran.r-project.org/doc/FAQ/R-FAQ.html#Why-doesn_0027t-R-think-these-numbers-are-equal_003f">FAQ 7.31</a> illustrates potential problems with floating point arithmetic. Mathematically the equality <span class="math inline">$x = \sqrt{x}^2$</span> should hold. But the precision of floating points numbers is finite. Hence some rounding is done, leading to numbers which are no longer identical.</p>
+<p>An illustration:</p>
+<div class="sourceCode" id="faq7_31"><pre class="sourceCode R"><code class="sourceCode r"><span id="faq7_31-1"><a href="#faq7_31-1" aria-hidden="true" tabindex="-1"></a><span class="sc">&gt;</span> a0 <span class="ot">&lt;-</span> <span class="dv">2</span></span>
+<span id="faq7_31-2"><a href="#faq7_31-2" aria-hidden="true" tabindex="-1"></a></span>
+<span id="faq7_31-3"><a href="#faq7_31-3" aria-hidden="true" tabindex="-1"></a><span class="sc">&gt;</span> b <span class="ot">&lt;-</span> <span class="fu">sqrt</span>(a0)</span>
+<span id="faq7_31-4"><a href="#faq7_31-4" aria-hidden="true" tabindex="-1"></a></span>
+<span id="faq7_31-5"><a href="#faq7_31-5" aria-hidden="true" tabindex="-1"></a><span class="sc">&gt;</span> a1 <span class="ot">&lt;-</span> b<span class="sc">^</span><span class="dv">2</span></span>
+<span id="faq7_31-6"><a href="#faq7_31-6" aria-hidden="true" tabindex="-1"></a></span>
+<span id="faq7_31-7"><a href="#faq7_31-7" aria-hidden="true" tabindex="-1"></a><span class="sc">&gt;</span> <span class="fu">identical</span>(a0, a1)</span>
+<span id="faq7_31-8"><a href="#faq7_31-8" aria-hidden="true" tabindex="-1"></a>[<span class="dv">1</span>] <span class="cn">FALSE</span></span>
+<span id="faq7_31-9"><a href="#faq7_31-9" aria-hidden="true" tabindex="-1"></a></span>
+<span id="faq7_31-10"><a href="#faq7_31-10" aria-hidden="true" tabindex="-1"></a><span class="sc">&gt;</span> a0 <span class="sc">-</span> a1</span>
+<span id="faq7_31-11"><a href="#faq7_31-11" aria-hidden="true" tabindex="-1"></a>[<span class="dv">1</span>] <span class="sc">-</span><span class="fl">4.440892e-16</span></span>
+<span id="faq7_31-12"><a href="#faq7_31-12" aria-hidden="true" tabindex="-1"></a></span>
+<span id="faq7_31-13"><a href="#faq7_31-13" aria-hidden="true" tabindex="-1"></a><span class="sc">&gt;</span> a <span class="ot">&lt;-</span> <span class="fu">c</span>(a0, a1)</span>
+<span id="faq7_31-14"><a href="#faq7_31-14" aria-hidden="true" tabindex="-1"></a></span>
+<span id="faq7_31-15"><a href="#faq7_31-15" aria-hidden="true" tabindex="-1"></a><span class="sc">&gt;</span> <span class="fu">sprintf</span>(<span class="st">&quot;%a&quot;</span>, a)</span>
+<span id="faq7_31-16"><a href="#faq7_31-16" aria-hidden="true" tabindex="-1"></a>[<span class="dv">1</span>] <span class="st">&quot;0x1p+1&quot;</span>               <span class="st">&quot;0x1.0000000000001p+1&quot;</span></span></code></pre></div>
+<p>Although the difference is small, any difference will result in different hash when using the <code>digest()</code> function. However, the <code>sha1()</code> function tackles this problem by using the hexadecimal representation of the numbers and truncates that representation to a certain number of digits prior to calculating the hash function.</p>
+<div class="sourceCode" id="faq7_31digest"><pre class="sourceCode R"><code class="sourceCode r"><span id="faq7_31digest-1"><a href="#faq7_31digest-1" aria-hidden="true" tabindex="-1"></a><span class="sc">&gt;</span> <span class="fu">library</span>(digest)</span>
+<span id="faq7_31digest-2"><a href="#faq7_31digest-2" aria-hidden="true" tabindex="-1"></a></span>
+<span id="faq7_31digest-3"><a href="#faq7_31digest-3" aria-hidden="true" tabindex="-1"></a><span class="sc">&gt;</span> <span class="fu">sapply</span>(a, digest, <span class="at">algo =</span> <span class="st">&quot;sha1&quot;</span>)</span>
+<span id="faq7_31digest-4"><a href="#faq7_31digest-4" aria-hidden="true" tabindex="-1"></a>[<span class="dv">1</span>] <span class="st">&quot;315a5aa84aa6cfa4f3fb4b652a596770be0365e8&quot;</span></span>
+<span id="faq7_31digest-5"><a href="#faq7_31digest-5" aria-hidden="true" tabindex="-1"></a>[<span class="dv">2</span>] <span class="st">&quot;5e3999bf79c230f7430e97d7f30070a7eff5ec92&quot;</span></span>
+<span id="faq7_31digest-6"><a href="#faq7_31digest-6" aria-hidden="true" tabindex="-1"></a></span>
+<span id="faq7_31digest-7"><a href="#faq7_31digest-7" aria-hidden="true" tabindex="-1"></a><span class="sc">&gt;</span> <span class="fu">sapply</span>(a, sha1)</span>
+<span id="faq7_31digest-8"><a href="#faq7_31digest-8" aria-hidden="true" tabindex="-1"></a>[<span class="dv">1</span>] <span class="st">&quot;8a938d8f5fb9b8ccb6893aa1068babcc517f32d4&quot;</span></span>
+<span id="faq7_31digest-9"><a href="#faq7_31digest-9" aria-hidden="true" tabindex="-1"></a>[<span class="dv">2</span>] <span class="st">&quot;8a938d8f5fb9b8ccb6893aa1068babcc517f32d4&quot;</span></span>
+<span id="faq7_31digest-10"><a href="#faq7_31digest-10" aria-hidden="true" tabindex="-1"></a></span>
+<span id="faq7_31digest-11"><a href="#faq7_31digest-11" aria-hidden="true" tabindex="-1"></a><span class="sc">&gt;</span> <span class="fu">sapply</span>(a, sha1, <span class="at">digits =</span> <span class="dv">15</span>)</span>
+<span id="faq7_31digest-12"><a href="#faq7_31digest-12" aria-hidden="true" tabindex="-1"></a>[<span class="dv">1</span>] <span class="st">&quot;98eb1dc9fada00b945d3ef01c77049ee5a4b7b9c&quot;</span></span>
+<span id="faq7_31digest-13"><a href="#faq7_31digest-13" aria-hidden="true" tabindex="-1"></a>[<span class="dv">2</span>] <span class="st">&quot;5a173e2445df1134908037f69ac005fbd8afee74&quot;</span></span>
+<span id="faq7_31digest-14"><a href="#faq7_31digest-14" aria-hidden="true" tabindex="-1"></a></span>
+<span id="faq7_31digest-15"><a href="#faq7_31digest-15" aria-hidden="true" tabindex="-1"></a><span class="sc">&gt;</span> <span class="fu">sapply</span>(a, sha1, <span class="at">digits =</span> <span class="dv">13</span>)</span>
+<span id="faq7_31digest-16"><a href="#faq7_31digest-16" aria-hidden="true" tabindex="-1"></a>[<span class="dv">1</span>] <span class="st">&quot;43b3b465c975af322c85473190a9214b79b79bf6&quot;</span></span>
+<span id="faq7_31digest-17"><a href="#faq7_31digest-17" aria-hidden="true" tabindex="-1"></a>[<span class="dv">2</span>] <span class="st">&quot;43b3b465c975af322c85473190a9214b79b79bf6&quot;</span></span>
+<span id="faq7_31digest-18"><a href="#faq7_31digest-18" aria-hidden="true" tabindex="-1"></a></span>
+<span id="faq7_31digest-19"><a href="#faq7_31digest-19" aria-hidden="true" tabindex="-1"></a><span class="sc">&gt;</span> <span class="fu">sapply</span>(a, sha1, <span class="at">digits =</span> <span class="dv">10</span>)</span>
+<span id="faq7_31digest-20"><a href="#faq7_31digest-20" aria-hidden="true" tabindex="-1"></a>[<span class="dv">1</span>] <span class="st">&quot;6b537a9693c750ed535ca90527152f06e358aa3a&quot;</span></span>
+<span id="faq7_31digest-21"><a href="#faq7_31digest-21" aria-hidden="true" tabindex="-1"></a>[<span class="dv">2</span>] <span class="st">&quot;6b537a9693c750ed535ca90527152f06e358aa3a&quot;</span></span>
+<span id="faq7_31digest-22"><a href="#faq7_31digest-22" aria-hidden="true" tabindex="-1"></a></span>
+<span id="faq7_31digest-23"><a href="#faq7_31digest-23" aria-hidden="true" tabindex="-1"></a><span class="sc">&gt;</span> <span class="fu">c</span>(<span class="fu">sha1</span>(pi), <span class="fu">sha1</span>(pi, <span class="at">digits =</span> <span class="dv">13</span>), <span class="fu">sha1</span>(pi, <span class="at">digits =</span> <span class="dv">10</span>))</span>
+<span id="faq7_31digest-24"><a href="#faq7_31digest-24" aria-hidden="true" tabindex="-1"></a>[<span class="dv">1</span>] <span class="st">&quot;169388cf1ce60dc4e9904a22bc934c5db33d975b&quot;</span></span>
+<span id="faq7_31digest-25"><a href="#faq7_31digest-25" aria-hidden="true" tabindex="-1"></a>[<span class="dv">2</span>] <span class="st">&quot;20dc38536b6689d5f2d053f30efb09c44af78378&quot;</span></span>
+<span id="faq7_31digest-26"><a href="#faq7_31digest-26" aria-hidden="true" tabindex="-1"></a>[<span class="dv">3</span>] <span class="st">&quot;3a727417bd1807af2f0148cf3de69abff32c23ec&quot;</span></span></code></pre></div>
+<p>The result of floating point arithematic on 32-bit and 64-bit can be slightly different. E.g. <code>print(pi ^ 11, 22)</code> returns <code>294204.01797389047</code> on 32-bit and <code>294204.01797389053</code> on 64-bit. Note that only the last 2 digits are different.</p>
+<table style="width:98%;">
+<colgroup>
+<col style="width: 26%" />
+<col style="width: 35%" />
+<col style="width: 35%" />
+</colgroup>
+<thead>
+<tr class="header">
+<th style="text-align: left;">command</th>
+<th style="text-align: left;">32-bit</th>
+<th style="text-align: left;">64-bit</th>
+</tr>
+</thead>
+<tbody>
+<tr class="odd">
+<td style="text-align: left;"><code>print(pi ^ 11, 22)</code></td>
+<td style="text-align: left;"><code>294204.01797389047</code></td>
+<td style="text-align: left;"><code>294204.01797389053</code></td>
+</tr>
+<tr class="even">
+<td style="text-align: left;"><code>sprintf(&quot;%a&quot;, pi ^ 11)</code></td>
+<td style="text-align: left;"><code>&quot;0x1.1f4f01267bf5fp+18&quot;</code></td>
+<td style="text-align: left;"><code>&quot;0x1.1f4f01267bf6p+18&quot;</code></td>
+</tr>
+<tr class="odd">
+<td style="text-align: left;"><code>digest(pi ^ 11, algo = &quot;sha1&quot;)</code></td>
+<td style="text-align: left;"><code>&quot;c5efc7f167df1bb402b27cf9b405d7cebfba339a&quot;</code></td>
+<td style="text-align: left;"><code>&quot;b61f6fea5e2a7952692cefe8bba86a00af3de713&quot;</code></td>
+</tr>
+<tr class="even">
+<td style="text-align: left;"><code>sha1(pi ^ 11, digits = 14)</code></td>
+<td style="text-align: left;"><code>&quot;5c7740500b8f78ec2354ea6af58ea69634d9b7b1&quot;</code></td>
+<td style="text-align: left;"><code>&quot;4f3e296b9922a7ddece2183b1478d0685609a359&quot;</code></td>
+</tr>
+<tr class="odd">
+<td style="text-align: left;"><code>sha1(pi ^ 11, digits = 13)</code></td>
+<td style="text-align: left;"><code>&quot;372289f87396b0877ccb4790cf40bcb5e658cad7&quot;</code></td>
+<td style="text-align: left;"><code>&quot;372289f87396b0877ccb4790cf40bcb5e658cad7&quot;</code></td>
+</tr>
+<tr class="even">
+<td style="text-align: left;"><code>sha1(pi ^ 11, digits = 10)</code></td>
+<td style="text-align: left;"><code>&quot;c05965af43f9566bfb5622f335817f674abfc9e4&quot;</code></td>
+<td style="text-align: left;"><code>&quot;c05965af43f9566bfb5622f335817f674abfc9e4&quot;</code></td>
+</tr>
+</tbody>
+</table>
+<h2 id="choosing-digest-or-sha1">Choosing <code>digest()</code> or <code>sha1()</code></h2>
+<p>TBD</p>
+<h2 id="creating-a-sha1-method-for-other-classes">Creating a sha1 method for other classes</h2>
+<h3 id="how-to">How to</h3>
+<ol type="1">
+<li>Identify the relevant components for the hash.</li>
+<li>Determine the class of each relevant component and check if they are handled by <code>sha1()</code>.
+<ul>
+<li>Write a method for each component class not yet handled by <code>sha1</code>.</li>
+</ul></li>
+<li>Extract the relevant components.</li>
+<li>Combine the relevant components into a list. Not required in case of a single component.</li>
+<li>Apply <code>sha1()</code> on the (list of) relevant component(s).</li>
+<li>Turn this into a function with name sha1._classname_.</li>
+<li>sha1._classname_ needs exactly the same arguments as <code>sha1()</code></li>
+<li>Choose sensible defaults for the arguments
+<ul>
+<li><code>zapsmall = 7</code> is recommended.</li>
+<li><code>digits = 14</code> is recommended in case all numerics are data.</li>
+<li><code>digits = 4</code> is recommended in case some numerics stem from floating point arithmetic.</li>
+</ul></li>
+</ol>
+<h3 id="summary.lm">summary.lm</h3>
+<p>Letâ€™s illustrate this using the summary of a simple linear regression. Suppose that we want a hash that takes into account the coefficients, their standard error and sigma.</p>
+<div class="sourceCode" id="sha1_lm_sum"><pre class="sourceCode R"><code class="sourceCode r"><span id="sha1_lm_sum-1"><a href="#sha1_lm_sum-1" aria-hidden="true" tabindex="-1"></a><span class="sc">&gt;</span> lm_SR <span class="ot">&lt;-</span> <span class="fu">lm</span>(sr <span class="sc">~</span> pop15 <span class="sc">+</span> pop75 <span class="sc">+</span> dpi <span class="sc">+</span> ddpi, <span class="at">data =</span> LifeCycleSavings)</span>
+<span id="sha1_lm_sum-2"><a href="#sha1_lm_sum-2" aria-hidden="true" tabindex="-1"></a></span>
+<span id="sha1_lm_sum-3"><a href="#sha1_lm_sum-3" aria-hidden="true" tabindex="-1"></a><span class="sc">&gt;</span> lm_sum <span class="ot">&lt;-</span> <span class="fu">summary</span>(lm_SR)</span>
+<span id="sha1_lm_sum-4"><a href="#sha1_lm_sum-4" aria-hidden="true" tabindex="-1"></a></span>
+<span id="sha1_lm_sum-5"><a href="#sha1_lm_sum-5" aria-hidden="true" tabindex="-1"></a><span class="sc">&gt;</span> <span class="fu">class</span>(lm_sum)</span>
+<span id="sha1_lm_sum-6"><a href="#sha1_lm_sum-6" aria-hidden="true" tabindex="-1"></a>[<span class="dv">1</span>] <span class="st">&quot;summary.lm&quot;</span></span>
+<span id="sha1_lm_sum-7"><a href="#sha1_lm_sum-7" aria-hidden="true" tabindex="-1"></a></span>
+<span id="sha1_lm_sum-8"><a href="#sha1_lm_sum-8" aria-hidden="true" tabindex="-1"></a><span class="sc">&gt;</span> <span class="fu">str</span>(lm_sum)</span>
+<span id="sha1_lm_sum-9"><a href="#sha1_lm_sum-9" aria-hidden="true" tabindex="-1"></a>List of <span class="dv">11</span></span>
+<span id="sha1_lm_sum-10"><a href="#sha1_lm_sum-10" aria-hidden="true" tabindex="-1"></a> <span class="sc">$</span> call         <span class="sc">:</span> language <span class="fu">lm</span>(<span class="at">formula =</span> sr <span class="sc">~</span> pop15 <span class="sc">+</span> pop75 <span class="sc">+</span> dpi <span class="sc">+</span> ddpi, <span class="at">data =</span> LifeCycleSavings)</span>
+<span id="sha1_lm_sum-11"><a href="#sha1_lm_sum-11" aria-hidden="true" tabindex="-1"></a> <span class="sc">$</span> terms        <span class="sc">:</span>Classes <span class="st">&#39;terms&#39;</span>, <span class="st">&#39;formula&#39;</span>  language sr <span class="sc">~</span> pop15 <span class="sc">+</span> pop75 <span class="sc">+</span> dpi <span class="sc">+</span> ddpi</span>
+<span id="sha1_lm_sum-12"><a href="#sha1_lm_sum-12" aria-hidden="true" tabindex="-1"></a>  .. ..<span class="sc">-</span> <span class="fu">attr</span>(<span class="sc">*</span>, <span class="st">&quot;variables&quot;</span>)<span class="ot">=</span> language <span class="fu">list</span>(sr, pop15, pop75, dpi, ddpi)</span>
+<span id="sha1_lm_sum-13"><a href="#sha1_lm_sum-13" aria-hidden="true" tabindex="-1"></a>  .. ..<span class="sc">-</span> <span class="fu">attr</span>(<span class="sc">*</span>, <span class="st">&quot;factors&quot;</span>)<span class="ot">=</span> int [<span class="dv">1</span><span class="sc">:</span><span class="dv">5</span>, <span class="dv">1</span><span class="sc">:</span><span class="dv">4</span>] <span class="dv">0</span> <span class="dv">1</span> <span class="dv">0</span> <span class="dv">0</span> <span class="dv">0</span> <span class="dv">0</span> <span class="dv">0</span> <span class="dv">1</span> <span class="dv">0</span> <span class="dv">0</span> ...</span>
+<span id="sha1_lm_sum-14"><a href="#sha1_lm_sum-14" aria-hidden="true" tabindex="-1"></a>  .. .. ..<span class="sc">-</span> <span class="fu">attr</span>(<span class="sc">*</span>, <span class="st">&quot;dimnames&quot;</span>)<span class="ot">=</span>List of <span class="dv">2</span></span>
+<span id="sha1_lm_sum-15"><a href="#sha1_lm_sum-15" aria-hidden="true" tabindex="-1"></a>  .. .. .. ..<span class="sc">$</span> <span class="er">:</span> chr [<span class="dv">1</span><span class="sc">:</span><span class="dv">5</span>] <span class="st">&quot;sr&quot;</span> <span class="st">&quot;pop15&quot;</span> <span class="st">&quot;pop75&quot;</span> <span class="st">&quot;dpi&quot;</span> ...</span>
+<span id="sha1_lm_sum-16"><a href="#sha1_lm_sum-16" aria-hidden="true" tabindex="-1"></a>  .. .. .. ..<span class="sc">$</span> <span class="er">:</span> chr [<span class="dv">1</span><span class="sc">:</span><span class="dv">4</span>] <span class="st">&quot;pop15&quot;</span> <span class="st">&quot;pop75&quot;</span> <span class="st">&quot;dpi&quot;</span> <span class="st">&quot;ddpi&quot;</span></span>
+<span id="sha1_lm_sum-17"><a href="#sha1_lm_sum-17" aria-hidden="true" tabindex="-1"></a>  .. ..<span class="sc">-</span> <span class="fu">attr</span>(<span class="sc">*</span>, <span class="st">&quot;term.labels&quot;</span>)<span class="ot">=</span> chr [<span class="dv">1</span><span class="sc">:</span><span class="dv">4</span>] <span class="st">&quot;pop15&quot;</span> <span class="st">&quot;pop75&quot;</span> <span class="st">&quot;dpi&quot;</span> <span class="st">&quot;ddpi&quot;</span></span>
+<span id="sha1_lm_sum-18"><a href="#sha1_lm_sum-18" aria-hidden="true" tabindex="-1"></a>  .. ..<span class="sc">-</span> <span class="fu">attr</span>(<span class="sc">*</span>, <span class="st">&quot;order&quot;</span>)<span class="ot">=</span> int [<span class="dv">1</span><span class="sc">:</span><span class="dv">4</span>] <span class="dv">1</span> <span class="dv">1</span> <span class="dv">1</span> <span class="dv">1</span></span>
+<span id="sha1_lm_sum-19"><a href="#sha1_lm_sum-19" aria-hidden="true" tabindex="-1"></a>  .. ..<span class="sc">-</span> <span class="fu">attr</span>(<span class="sc">*</span>, <span class="st">&quot;intercept&quot;</span>)<span class="ot">=</span> int <span class="dv">1</span></span>
+<span id="sha1_lm_sum-20"><a href="#sha1_lm_sum-20" aria-hidden="true" tabindex="-1"></a>  .. ..<span class="sc">-</span> <span class="fu">attr</span>(<span class="sc">*</span>, <span class="st">&quot;response&quot;</span>)<span class="ot">=</span> int <span class="dv">1</span></span>
+<span id="sha1_lm_sum-21"><a href="#sha1_lm_sum-21" aria-hidden="true" tabindex="-1"></a>  .. ..<span class="sc">-</span> <span class="fu">attr</span>(<span class="sc">*</span>, <span class="st">&quot;.Environment&quot;</span>)<span class="ot">=</span><span class="er">&lt;</span>environment<span class="sc">:</span> R_GlobalEnv<span class="sc">&gt;</span> </span>
+<span id="sha1_lm_sum-22"><a href="#sha1_lm_sum-22" aria-hidden="true" tabindex="-1"></a>  .. ..<span class="sc">-</span> <span class="fu">attr</span>(<span class="sc">*</span>, <span class="st">&quot;predvars&quot;</span>)<span class="ot">=</span> language <span class="fu">list</span>(sr, pop15, pop75, dpi, ddpi)</span>
+<span id="sha1_lm_sum-23"><a href="#sha1_lm_sum-23" aria-hidden="true" tabindex="-1"></a>  .. ..<span class="sc">-</span> <span class="fu">attr</span>(<span class="sc">*</span>, <span class="st">&quot;dataClasses&quot;</span>)<span class="ot">=</span> Named chr [<span class="dv">1</span><span class="sc">:</span><span class="dv">5</span>] <span class="st">&quot;numeric&quot;</span> <span class="st">&quot;numeric&quot;</span> <span class="st">&quot;numeric&quot;</span> <span class="st">&quot;numeric&quot;</span> ...</span>
+<span id="sha1_lm_sum-24"><a href="#sha1_lm_sum-24" aria-hidden="true" tabindex="-1"></a>  .. .. ..<span class="sc">-</span> <span class="fu">attr</span>(<span class="sc">*</span>, <span class="st">&quot;names&quot;</span>)<span class="ot">=</span> chr [<span class="dv">1</span><span class="sc">:</span><span class="dv">5</span>] <span class="st">&quot;sr&quot;</span> <span class="st">&quot;pop15&quot;</span> <span class="st">&quot;pop75&quot;</span> <span class="st">&quot;dpi&quot;</span> ...</span>
+<span id="sha1_lm_sum-25"><a href="#sha1_lm_sum-25" aria-hidden="true" tabindex="-1"></a> <span class="sc">$</span> residuals    <span class="sc">:</span> Named num [<span class="dv">1</span><span class="sc">:</span><span class="dv">50</span>] <span class="fl">0.864</span> <span class="fl">0.616</span> <span class="fl">2.219</span> <span class="sc">-</span><span class="fl">0.698</span> <span class="fl">3.553</span> ...</span>
+<span id="sha1_lm_sum-26"><a href="#sha1_lm_sum-26" aria-hidden="true" tabindex="-1"></a>  ..<span class="sc">-</span> <span class="fu">attr</span>(<span class="sc">*</span>, <span class="st">&quot;names&quot;</span>)<span class="ot">=</span> chr [<span class="dv">1</span><span class="sc">:</span><span class="dv">50</span>] <span class="st">&quot;Australia&quot;</span> <span class="st">&quot;Austria&quot;</span> <span class="st">&quot;Belgium&quot;</span> <span class="st">&quot;Bolivia&quot;</span> ...</span>
+<span id="sha1_lm_sum-27"><a href="#sha1_lm_sum-27" aria-hidden="true" tabindex="-1"></a> <span class="sc">$</span> coefficients <span class="sc">:</span> num [<span class="dv">1</span><span class="sc">:</span><span class="dv">5</span>, <span class="dv">1</span><span class="sc">:</span><span class="dv">4</span>] <span class="fl">28.566087</span> <span class="sc">-</span><span class="fl">0.461193</span> <span class="sc">-</span><span class="fl">1.691498</span> <span class="sc">-</span><span class="fl">0.000337</span> <span class="fl">0.409695</span> ...</span>
+<span id="sha1_lm_sum-28"><a href="#sha1_lm_sum-28" aria-hidden="true" tabindex="-1"></a>  ..<span class="sc">-</span> <span class="fu">attr</span>(<span class="sc">*</span>, <span class="st">&quot;dimnames&quot;</span>)<span class="ot">=</span>List of <span class="dv">2</span></span>
+<span id="sha1_lm_sum-29"><a href="#sha1_lm_sum-29" aria-hidden="true" tabindex="-1"></a>  .. ..<span class="sc">$</span> <span class="er">:</span> chr [<span class="dv">1</span><span class="sc">:</span><span class="dv">5</span>] <span class="st">&quot;(Intercept)&quot;</span> <span class="st">&quot;pop15&quot;</span> <span class="st">&quot;pop75&quot;</span> <span class="st">&quot;dpi&quot;</span> ...</span>
+<span id="sha1_lm_sum-30"><a href="#sha1_lm_sum-30" aria-hidden="true" tabindex="-1"></a>  .. ..<span class="sc">$</span> <span class="er">:</span> chr [<span class="dv">1</span><span class="sc">:</span><span class="dv">4</span>] <span class="st">&quot;Estimate&quot;</span> <span class="st">&quot;Std. Error&quot;</span> <span class="st">&quot;t value&quot;</span> <span class="st">&quot;Pr(&gt;|t|)&quot;</span></span>
+<span id="sha1_lm_sum-31"><a href="#sha1_lm_sum-31" aria-hidden="true" tabindex="-1"></a> <span class="sc">$</span> aliased      <span class="sc">:</span> Named logi [<span class="dv">1</span><span class="sc">:</span><span class="dv">5</span>] <span class="cn">FALSE</span> <span class="cn">FALSE</span> <span class="cn">FALSE</span> <span class="cn">FALSE</span> <span class="cn">FALSE</span></span>
+<span id="sha1_lm_sum-32"><a href="#sha1_lm_sum-32" aria-hidden="true" tabindex="-1"></a>  ..<span class="sc">-</span> <span class="fu">attr</span>(<span class="sc">*</span>, <span class="st">&quot;names&quot;</span>)<span class="ot">=</span> chr [<span class="dv">1</span><span class="sc">:</span><span class="dv">5</span>] <span class="st">&quot;(Intercept)&quot;</span> <span class="st">&quot;pop15&quot;</span> <span class="st">&quot;pop75&quot;</span> <span class="st">&quot;dpi&quot;</span> ...</span>
+<span id="sha1_lm_sum-33"><a href="#sha1_lm_sum-33" aria-hidden="true" tabindex="-1"></a> <span class="sc">$</span> sigma        <span class="sc">:</span> num <span class="fl">3.8</span></span>
+<span id="sha1_lm_sum-34"><a href="#sha1_lm_sum-34" aria-hidden="true" tabindex="-1"></a> <span class="sc">$</span> df           <span class="sc">:</span> int [<span class="dv">1</span><span class="sc">:</span><span class="dv">3</span>] <span class="dv">5</span> <span class="dv">45</span> <span class="dv">5</span></span>
+<span id="sha1_lm_sum-35"><a href="#sha1_lm_sum-35" aria-hidden="true" tabindex="-1"></a> <span class="sc">$</span> r.squared    <span class="sc">:</span> num <span class="fl">0.338</span></span>
+<span id="sha1_lm_sum-36"><a href="#sha1_lm_sum-36" aria-hidden="true" tabindex="-1"></a> <span class="sc">$</span> adj.r.squared<span class="sc">:</span> num <span class="fl">0.28</span></span>
+<span id="sha1_lm_sum-37"><a href="#sha1_lm_sum-37" aria-hidden="true" tabindex="-1"></a> <span class="sc">$</span> fstatistic   <span class="sc">:</span> Named num [<span class="dv">1</span><span class="sc">:</span><span class="dv">3</span>] <span class="fl">5.76</span> <span class="dv">4</span> <span class="dv">45</span></span>
+<span id="sha1_lm_sum-38"><a href="#sha1_lm_sum-38" aria-hidden="true" tabindex="-1"></a>  ..<span class="sc">-</span> <span class="fu">attr</span>(<span class="sc">*</span>, <span class="st">&quot;names&quot;</span>)<span class="ot">=</span> chr [<span class="dv">1</span><span class="sc">:</span><span class="dv">3</span>] <span class="st">&quot;value&quot;</span> <span class="st">&quot;numdf&quot;</span> <span class="st">&quot;dendf&quot;</span></span>
+<span id="sha1_lm_sum-39"><a href="#sha1_lm_sum-39" aria-hidden="true" tabindex="-1"></a> <span class="sc">$</span> cov.unscaled <span class="sc">:</span> num [<span class="dv">1</span><span class="sc">:</span><span class="dv">5</span>, <span class="dv">1</span><span class="sc">:</span><span class="dv">5</span>] <span class="fl">3.74</span> <span class="sc">-</span><span class="fl">7.24e-02</span> <span class="sc">-</span><span class="fl">4.46e-01</span> <span class="sc">-</span><span class="fl">7.86e-05</span> <span class="sc">-</span><span class="fl">1.88e-02</span> ...</span>
+<span id="sha1_lm_sum-40"><a href="#sha1_lm_sum-40" aria-hidden="true" tabindex="-1"></a>  ..<span class="sc">-</span> <span class="fu">attr</span>(<span class="sc">*</span>, <span class="st">&quot;dimnames&quot;</span>)<span class="ot">=</span>List of <span class="dv">2</span></span>
+<span id="sha1_lm_sum-41"><a href="#sha1_lm_sum-41" aria-hidden="true" tabindex="-1"></a>  .. ..<span class="sc">$</span> <span class="er">:</span> chr [<span class="dv">1</span><span class="sc">:</span><span class="dv">5</span>] <span class="st">&quot;(Intercept)&quot;</span> <span class="st">&quot;pop15&quot;</span> <span class="st">&quot;pop75&quot;</span> <span class="st">&quot;dpi&quot;</span> ...</span>
+<span id="sha1_lm_sum-42"><a href="#sha1_lm_sum-42" aria-hidden="true" tabindex="-1"></a>  .. ..<span class="sc">$</span> <span class="er">:</span> chr [<span class="dv">1</span><span class="sc">:</span><span class="dv">5</span>] <span class="st">&quot;(Intercept)&quot;</span> <span class="st">&quot;pop15&quot;</span> <span class="st">&quot;pop75&quot;</span> <span class="st">&quot;dpi&quot;</span> ...</span>
+<span id="sha1_lm_sum-43"><a href="#sha1_lm_sum-43" aria-hidden="true" tabindex="-1"></a> <span class="sc">-</span> <span class="fu">attr</span>(<span class="sc">*</span>, <span class="st">&quot;class&quot;</span>)<span class="ot">=</span> chr <span class="st">&quot;summary.lm&quot;</span></span>
+<span id="sha1_lm_sum-44"><a href="#sha1_lm_sum-44" aria-hidden="true" tabindex="-1"></a></span>
+<span id="sha1_lm_sum-45"><a href="#sha1_lm_sum-45" aria-hidden="true" tabindex="-1"></a><span class="sc">&gt;</span> coef_sum <span class="ot">&lt;-</span> <span class="fu">coef</span>(lm_sum)[, <span class="fu">c</span>(<span class="st">&quot;Estimate&quot;</span>, <span class="st">&quot;Std. Error&quot;</span>)]</span>
+<span id="sha1_lm_sum-46"><a href="#sha1_lm_sum-46" aria-hidden="true" tabindex="-1"></a></span>
+<span id="sha1_lm_sum-47"><a href="#sha1_lm_sum-47" aria-hidden="true" tabindex="-1"></a><span class="sc">&gt;</span> sigma <span class="ot">&lt;-</span> lm_sum<span class="sc">$</span>sigma</span>
+<span id="sha1_lm_sum-48"><a href="#sha1_lm_sum-48" aria-hidden="true" tabindex="-1"></a></span>
+<span id="sha1_lm_sum-49"><a href="#sha1_lm_sum-49" aria-hidden="true" tabindex="-1"></a><span class="sc">&gt;</span> <span class="fu">class</span>(coef_sum)</span>
+<span id="sha1_lm_sum-50"><a href="#sha1_lm_sum-50" aria-hidden="true" tabindex="-1"></a>[<span class="dv">1</span>] <span class="st">&quot;matrix&quot;</span> <span class="st">&quot;array&quot;</span> </span>
+<span id="sha1_lm_sum-51"><a href="#sha1_lm_sum-51" aria-hidden="true" tabindex="-1"></a></span>
+<span id="sha1_lm_sum-52"><a href="#sha1_lm_sum-52" aria-hidden="true" tabindex="-1"></a><span class="sc">&gt;</span> <span class="fu">class</span>(sigma)</span>
+<span id="sha1_lm_sum-53"><a href="#sha1_lm_sum-53" aria-hidden="true" tabindex="-1"></a>[<span class="dv">1</span>] <span class="st">&quot;numeric&quot;</span></span>
+<span id="sha1_lm_sum-54"><a href="#sha1_lm_sum-54" aria-hidden="true" tabindex="-1"></a></span>
+<span id="sha1_lm_sum-55"><a href="#sha1_lm_sum-55" aria-hidden="true" tabindex="-1"></a><span class="sc">&gt;</span> <span class="fu">sha1</span>(coef_sum, <span class="at">digits =</span> <span class="dv">4</span>)</span>
+<span id="sha1_lm_sum-56"><a href="#sha1_lm_sum-56" aria-hidden="true" tabindex="-1"></a>[<span class="dv">1</span>] <span class="st">&quot;3f0b0c552f94d753fcc8deb4d3e9fc11a83197af&quot;</span></span>
+<span id="sha1_lm_sum-57"><a href="#sha1_lm_sum-57" aria-hidden="true" tabindex="-1"></a></span>
+<span id="sha1_lm_sum-58"><a href="#sha1_lm_sum-58" aria-hidden="true" tabindex="-1"></a><span class="sc">&gt;</span> <span class="fu">sha1</span>(sigma, <span class="at">digits =</span> <span class="dv">4</span>)</span>
+<span id="sha1_lm_sum-59"><a href="#sha1_lm_sum-59" aria-hidden="true" tabindex="-1"></a>[<span class="dv">1</span>] <span class="st">&quot;cbc83d1791ef1eeadd824ea9a038891b5889056b&quot;</span></span>
+<span id="sha1_lm_sum-60"><a href="#sha1_lm_sum-60" aria-hidden="true" tabindex="-1"></a></span>
+<span id="sha1_lm_sum-61"><a href="#sha1_lm_sum-61" aria-hidden="true" tabindex="-1"></a><span class="sc">&gt;</span> <span class="fu">sha1</span>(<span class="fu">list</span>(coef_sum, sigma), <span class="at">digits =</span> <span class="dv">4</span>)</span>
+<span id="sha1_lm_sum-62"><a href="#sha1_lm_sum-62" aria-hidden="true" tabindex="-1"></a>[<span class="dv">1</span>] <span class="st">&quot;476d27265365cd41662eedf059b335d38a221cc2&quot;</span></span>
+<span id="sha1_lm_sum-63"><a href="#sha1_lm_sum-63" aria-hidden="true" tabindex="-1"></a></span>
+<span id="sha1_lm_sum-64"><a href="#sha1_lm_sum-64" aria-hidden="true" tabindex="-1"></a><span class="sc">&gt;</span> sha1.summary.lm <span class="ot">&lt;-</span> <span class="cf">function</span>(x, <span class="at">digits =</span> <span class="dv">4</span>, <span class="at">zapsmall =</span> <span class="dv">7</span>) {</span>
+<span id="sha1_lm_sum-65"><a href="#sha1_lm_sum-65" aria-hidden="true" tabindex="-1"></a><span class="sc">+</span>     coef_sum <span class="ot">&lt;-</span> <span class="fu">coef</span>(x)[, <span class="fu">c</span>(<span class="st">&quot;Estimate&quot;</span>, <span class="st">&quot;Std. Error&quot;</span>)]</span>
+<span id="sha1_lm_sum-66"><a href="#sha1_lm_sum-66" aria-hidden="true" tabindex="-1"></a><span class="sc">+</span>     sigma <span class="ot">&lt;-</span> x<span class="sc">$</span>sigma</span>
+<span id="sha1_lm_sum-67"><a href="#sha1_lm_sum-67" aria-hidden="true" tabindex="-1"></a><span class="sc">+</span>     combined <span class="ot">&lt;-</span> <span class="fu">list</span>(coef_sum, sigma)</span>
+<span id="sha1_lm_sum-68"><a href="#sha1_lm_sum-68" aria-hidden="true" tabindex="-1"></a><span class="sc">+</span>     <span class="fu">sha1</span>(combined, <span class="at">digits =</span> digits, <span class="at">zapsmall =</span> zapsmall)</span>
+<span id="sha1_lm_sum-69"><a href="#sha1_lm_sum-69" aria-hidden="true" tabindex="-1"></a><span class="sc">+</span> }</span>
+<span id="sha1_lm_sum-70"><a href="#sha1_lm_sum-70" aria-hidden="true" tabindex="-1"></a></span>
+<span id="sha1_lm_sum-71"><a href="#sha1_lm_sum-71" aria-hidden="true" tabindex="-1"></a><span class="sc">&gt;</span> <span class="fu">sha1</span>(lm_sum)</span>
+<span id="sha1_lm_sum-72"><a href="#sha1_lm_sum-72" aria-hidden="true" tabindex="-1"></a>[<span class="dv">1</span>] <span class="st">&quot;476d27265365cd41662eedf059b335d38a221cc2&quot;</span></span>
+<span id="sha1_lm_sum-73"><a href="#sha1_lm_sum-73" aria-hidden="true" tabindex="-1"></a></span>
+<span id="sha1_lm_sum-74"><a href="#sha1_lm_sum-74" aria-hidden="true" tabindex="-1"></a><span class="sc">&gt;</span> LCS2 <span class="ot">&lt;-</span> LifeCycleSavings[<span class="fu">rownames</span>(LifeCycleSavings) <span class="sc">!=</span> </span>
+<span id="sha1_lm_sum-75"><a href="#sha1_lm_sum-75" aria-hidden="true" tabindex="-1"></a><span class="sc">+</span>     <span class="st">&quot;Zambia&quot;</span>, ]</span>
+<span id="sha1_lm_sum-76"><a href="#sha1_lm_sum-76" aria-hidden="true" tabindex="-1"></a></span>
+<span id="sha1_lm_sum-77"><a href="#sha1_lm_sum-77" aria-hidden="true" tabindex="-1"></a><span class="sc">&gt;</span> lm_SR2 <span class="ot">&lt;-</span> <span class="fu">lm</span>(sr <span class="sc">~</span> pop15 <span class="sc">+</span> pop75 <span class="sc">+</span> dpi <span class="sc">+</span> ddpi, <span class="at">data =</span> LCS2)</span>
+<span id="sha1_lm_sum-78"><a href="#sha1_lm_sum-78" aria-hidden="true" tabindex="-1"></a></span>
+<span id="sha1_lm_sum-79"><a href="#sha1_lm_sum-79" aria-hidden="true" tabindex="-1"></a><span class="sc">&gt;</span> <span class="fu">sha1</span>(<span class="fu">summary</span>(lm_SR2))</span>
+<span id="sha1_lm_sum-80"><a href="#sha1_lm_sum-80" aria-hidden="true" tabindex="-1"></a>[<span class="dv">1</span>] <span class="st">&quot;90beb028833bf0542997fde7c3f19e5b9fdfeef4&quot;</span></span></code></pre></div>
+<h3 id="lm">lm</h3>
+<p>Letâ€™s illustrate this using the summary of a simple linear regression. Suppose that we want a hash that takes into account the coefficients, their standard error and sigma.</p>
+<div class="sourceCode" id="sha1_lm"><pre class="sourceCode R"><code class="sourceCode r"><span id="sha1_lm-1"><a href="#sha1_lm-1" aria-hidden="true" tabindex="-1"></a><span class="sc">&gt;</span> <span class="fu">class</span>(lm_SR)</span>
+<span id="sha1_lm-2"><a href="#sha1_lm-2" aria-hidden="true" tabindex="-1"></a>[<span class="dv">1</span>] <span class="st">&quot;lm&quot;</span></span>
+<span id="sha1_lm-3"><a href="#sha1_lm-3" aria-hidden="true" tabindex="-1"></a></span>
+<span id="sha1_lm-4"><a href="#sha1_lm-4" aria-hidden="true" tabindex="-1"></a><span class="sc">&gt;</span> <span class="fu">str</span>(lm_SR)</span>
+<span id="sha1_lm-5"><a href="#sha1_lm-5" aria-hidden="true" tabindex="-1"></a>List of <span class="dv">12</span></span>
+<span id="sha1_lm-6"><a href="#sha1_lm-6" aria-hidden="true" tabindex="-1"></a> <span class="sc">$</span> coefficients <span class="sc">:</span> Named num [<span class="dv">1</span><span class="sc">:</span><span class="dv">5</span>] <span class="fl">28.566087</span> <span class="sc">-</span><span class="fl">0.461193</span> <span class="sc">-</span><span class="fl">1.691498</span> <span class="sc">-</span><span class="fl">0.000337</span> <span class="fl">0.409695</span></span>
+<span id="sha1_lm-7"><a href="#sha1_lm-7" aria-hidden="true" tabindex="-1"></a>  ..<span class="sc">-</span> <span class="fu">attr</span>(<span class="sc">*</span>, <span class="st">&quot;names&quot;</span>)<span class="ot">=</span> chr [<span class="dv">1</span><span class="sc">:</span><span class="dv">5</span>] <span class="st">&quot;(Intercept)&quot;</span> <span class="st">&quot;pop15&quot;</span> <span class="st">&quot;pop75&quot;</span> <span class="st">&quot;dpi&quot;</span> ...</span>
+<span id="sha1_lm-8"><a href="#sha1_lm-8" aria-hidden="true" tabindex="-1"></a> <span class="sc">$</span> residuals    <span class="sc">:</span> Named num [<span class="dv">1</span><span class="sc">:</span><span class="dv">50</span>] <span class="fl">0.864</span> <span class="fl">0.616</span> <span class="fl">2.219</span> <span class="sc">-</span><span class="fl">0.698</span> <span class="fl">3.553</span> ...</span>
+<span id="sha1_lm-9"><a href="#sha1_lm-9" aria-hidden="true" tabindex="-1"></a>  ..<span class="sc">-</span> <span class="fu">attr</span>(<span class="sc">*</span>, <span class="st">&quot;names&quot;</span>)<span class="ot">=</span> chr [<span class="dv">1</span><span class="sc">:</span><span class="dv">50</span>] <span class="st">&quot;Australia&quot;</span> <span class="st">&quot;Austria&quot;</span> <span class="st">&quot;Belgium&quot;</span> <span class="st">&quot;Bolivia&quot;</span> ...</span>
+<span id="sha1_lm-10"><a href="#sha1_lm-10" aria-hidden="true" tabindex="-1"></a> <span class="sc">$</span> effects      <span class="sc">:</span> Named num [<span class="dv">1</span><span class="sc">:</span><span class="dv">50</span>] <span class="sc">-</span><span class="fl">68.38</span> <span class="sc">-</span><span class="fl">14.29</span> <span class="fl">7.3</span> <span class="sc">-</span><span class="fl">3.52</span> <span class="sc">-</span><span class="fl">7.94</span> ...</span>
+<span id="sha1_lm-11"><a href="#sha1_lm-11" aria-hidden="true" tabindex="-1"></a>  ..<span class="sc">-</span> <span class="fu">attr</span>(<span class="sc">*</span>, <span class="st">&quot;names&quot;</span>)<span class="ot">=</span> chr [<span class="dv">1</span><span class="sc">:</span><span class="dv">50</span>] <span class="st">&quot;(Intercept)&quot;</span> <span class="st">&quot;pop15&quot;</span> <span class="st">&quot;pop75&quot;</span> <span class="st">&quot;dpi&quot;</span> ...</span>
+<span id="sha1_lm-12"><a href="#sha1_lm-12" aria-hidden="true" tabindex="-1"></a> <span class="sc">$</span> rank         <span class="sc">:</span> int <span class="dv">5</span></span>
+<span id="sha1_lm-13"><a href="#sha1_lm-13" aria-hidden="true" tabindex="-1"></a> <span class="sc">$</span> fitted.values<span class="sc">:</span> Named num [<span class="dv">1</span><span class="sc">:</span><span class="dv">50</span>] <span class="fl">10.57</span> <span class="fl">11.45</span> <span class="fl">10.95</span> <span class="fl">6.45</span> <span class="fl">9.33</span> ...</span>
+<span id="sha1_lm-14"><a href="#sha1_lm-14" aria-hidden="true" tabindex="-1"></a>  ..<span class="sc">-</span> <span class="fu">attr</span>(<span class="sc">*</span>, <span class="st">&quot;names&quot;</span>)<span class="ot">=</span> chr [<span class="dv">1</span><span class="sc">:</span><span class="dv">50</span>] <span class="st">&quot;Australia&quot;</span> <span class="st">&quot;Austria&quot;</span> <span class="st">&quot;Belgium&quot;</span> <span class="st">&quot;Bolivia&quot;</span> ...</span>
+<span id="sha1_lm-15"><a href="#sha1_lm-15" aria-hidden="true" tabindex="-1"></a> <span class="sc">$</span> assign       <span class="sc">:</span> int [<span class="dv">1</span><span class="sc">:</span><span class="dv">5</span>] <span class="dv">0</span> <span class="dv">1</span> <span class="dv">2</span> <span class="dv">3</span> <span class="dv">4</span></span>
+<span id="sha1_lm-16"><a href="#sha1_lm-16" aria-hidden="true" tabindex="-1"></a> <span class="sc">$</span> qr           <span class="sc">:</span>List of <span class="dv">5</span></span>
+<span id="sha1_lm-17"><a href="#sha1_lm-17" aria-hidden="true" tabindex="-1"></a>  ..<span class="sc">$</span> qr   <span class="sc">:</span> num [<span class="dv">1</span><span class="sc">:</span><span class="dv">50</span>, <span class="dv">1</span><span class="sc">:</span><span class="dv">5</span>] <span class="sc">-</span><span class="fl">7.071</span> <span class="fl">0.141</span> <span class="fl">0.141</span> <span class="fl">0.141</span> <span class="fl">0.141</span> ...</span>
+<span id="sha1_lm-18"><a href="#sha1_lm-18" aria-hidden="true" tabindex="-1"></a>  .. ..<span class="sc">-</span> <span class="fu">attr</span>(<span class="sc">*</span>, <span class="st">&quot;dimnames&quot;</span>)<span class="ot">=</span>List of <span class="dv">2</span></span>
+<span id="sha1_lm-19"><a href="#sha1_lm-19" aria-hidden="true" tabindex="-1"></a>  .. .. ..<span class="sc">$</span> <span class="er">:</span> chr [<span class="dv">1</span><span class="sc">:</span><span class="dv">50</span>] <span class="st">&quot;Australia&quot;</span> <span class="st">&quot;Austria&quot;</span> <span class="st">&quot;Belgium&quot;</span> <span class="st">&quot;Bolivia&quot;</span> ...</span>
+<span id="sha1_lm-20"><a href="#sha1_lm-20" aria-hidden="true" tabindex="-1"></a>  .. .. ..<span class="sc">$</span> <span class="er">:</span> chr [<span class="dv">1</span><span class="sc">:</span><span class="dv">5</span>] <span class="st">&quot;(Intercept)&quot;</span> <span class="st">&quot;pop15&quot;</span> <span class="st">&quot;pop75&quot;</span> <span class="st">&quot;dpi&quot;</span> ...</span>
+<span id="sha1_lm-21"><a href="#sha1_lm-21" aria-hidden="true" tabindex="-1"></a>  .. ..<span class="sc">-</span> <span class="fu">attr</span>(<span class="sc">*</span>, <span class="st">&quot;assign&quot;</span>)<span class="ot">=</span> int [<span class="dv">1</span><span class="sc">:</span><span class="dv">5</span>] <span class="dv">0</span> <span class="dv">1</span> <span class="dv">2</span> <span class="dv">3</span> <span class="dv">4</span></span>
+<span id="sha1_lm-22"><a href="#sha1_lm-22" aria-hidden="true" tabindex="-1"></a>  ..<span class="sc">$</span> qraux<span class="sc">:</span> num [<span class="dv">1</span><span class="sc">:</span><span class="dv">5</span>] <span class="fl">1.14</span> <span class="fl">1.17</span> <span class="fl">1.16</span> <span class="fl">1.15</span> <span class="fl">1.05</span></span>
+<span id="sha1_lm-23"><a href="#sha1_lm-23" aria-hidden="true" tabindex="-1"></a>  ..<span class="sc">$</span> pivot<span class="sc">:</span> int [<span class="dv">1</span><span class="sc">:</span><span class="dv">5</span>] <span class="dv">1</span> <span class="dv">2</span> <span class="dv">3</span> <span class="dv">4</span> <span class="dv">5</span></span>
+<span id="sha1_lm-24"><a href="#sha1_lm-24" aria-hidden="true" tabindex="-1"></a>  ..<span class="sc">$</span> tol  <span class="sc">:</span> num <span class="fl">1e-07</span></span>
+<span id="sha1_lm-25"><a href="#sha1_lm-25" aria-hidden="true" tabindex="-1"></a>  ..<span class="sc">$</span> rank <span class="sc">:</span> int <span class="dv">5</span></span>
+<span id="sha1_lm-26"><a href="#sha1_lm-26" aria-hidden="true" tabindex="-1"></a>  ..<span class="sc">-</span> <span class="fu">attr</span>(<span class="sc">*</span>, <span class="st">&quot;class&quot;</span>)<span class="ot">=</span> chr <span class="st">&quot;qr&quot;</span></span>
+<span id="sha1_lm-27"><a href="#sha1_lm-27" aria-hidden="true" tabindex="-1"></a> <span class="sc">$</span> df.residual  <span class="sc">:</span> int <span class="dv">45</span></span>
+<span id="sha1_lm-28"><a href="#sha1_lm-28" aria-hidden="true" tabindex="-1"></a> <span class="sc">$</span> xlevels      <span class="sc">:</span> Named <span class="fu">list</span>()</span>
+<span id="sha1_lm-29"><a href="#sha1_lm-29" aria-hidden="true" tabindex="-1"></a> <span class="sc">$</span> call         <span class="sc">:</span> language <span class="fu">lm</span>(<span class="at">formula =</span> sr <span class="sc">~</span> pop15 <span class="sc">+</span> pop75 <span class="sc">+</span> dpi <span class="sc">+</span> ddpi, <span class="at">data =</span> LifeCycleSavings)</span>
+<span id="sha1_lm-30"><a href="#sha1_lm-30" aria-hidden="true" tabindex="-1"></a> <span class="sc">$</span> terms        <span class="sc">:</span>Classes <span class="st">&#39;terms&#39;</span>, <span class="st">&#39;formula&#39;</span>  language sr <span class="sc">~</span> pop15 <span class="sc">+</span> pop75 <span class="sc">+</span> dpi <span class="sc">+</span> ddpi</span>
+<span id="sha1_lm-31"><a href="#sha1_lm-31" aria-hidden="true" tabindex="-1"></a>  .. ..<span class="sc">-</span> <span class="fu">attr</span>(<span class="sc">*</span>, <span class="st">&quot;variables&quot;</span>)<span class="ot">=</span> language <span class="fu">list</span>(sr, pop15, pop75, dpi, ddpi)</span>
+<span id="sha1_lm-32"><a href="#sha1_lm-32" aria-hidden="true" tabindex="-1"></a>  .. ..<span class="sc">-</span> <span class="fu">attr</span>(<span class="sc">*</span>, <span class="st">&quot;factors&quot;</span>)<span class="ot">=</span> int [<span class="dv">1</span><span class="sc">:</span><span class="dv">5</span>, <span class="dv">1</span><span class="sc">:</span><span class="dv">4</span>] <span class="dv">0</span> <span class="dv">1</span> <span class="dv">0</span> <span class="dv">0</span> <span class="dv">0</span> <span class="dv">0</span> <span class="dv">0</span> <span class="dv">1</span> <span class="dv">0</span> <span class="dv">0</span> ...</span>
+<span id="sha1_lm-33"><a href="#sha1_lm-33" aria-hidden="true" tabindex="-1"></a>  .. .. ..<span class="sc">-</span> <span class="fu">attr</span>(<span class="sc">*</span>, <span class="st">&quot;dimnames&quot;</span>)<span class="ot">=</span>List of <span class="dv">2</span></span>
+<span id="sha1_lm-34"><a href="#sha1_lm-34" aria-hidden="true" tabindex="-1"></a>  .. .. .. ..<span class="sc">$</span> <span class="er">:</span> chr [<span class="dv">1</span><span class="sc">:</span><span class="dv">5</span>] <span class="st">&quot;sr&quot;</span> <span class="st">&quot;pop15&quot;</span> <span class="st">&quot;pop75&quot;</span> <span class="st">&quot;dpi&quot;</span> ...</span>
+<span id="sha1_lm-35"><a href="#sha1_lm-35" aria-hidden="true" tabindex="-1"></a>  .. .. .. ..<span class="sc">$</span> <span class="er">:</span> chr [<span class="dv">1</span><span class="sc">:</span><span class="dv">4</span>] <span class="st">&quot;pop15&quot;</span> <span class="st">&quot;pop75&quot;</span> <span class="st">&quot;dpi&quot;</span> <span class="st">&quot;ddpi&quot;</span></span>
+<span id="sha1_lm-36"><a href="#sha1_lm-36" aria-hidden="true" tabindex="-1"></a>  .. ..<span class="sc">-</span> <span class="fu">attr</span>(<span class="sc">*</span>, <span class="st">&quot;term.labels&quot;</span>)<span class="ot">=</span> chr [<span class="dv">1</span><span class="sc">:</span><span class="dv">4</span>] <span class="st">&quot;pop15&quot;</span> <span class="st">&quot;pop75&quot;</span> <span class="st">&quot;dpi&quot;</span> <span class="st">&quot;ddpi&quot;</span></span>
+<span id="sha1_lm-37"><a href="#sha1_lm-37" aria-hidden="true" tabindex="-1"></a>  .. ..<span class="sc">-</span> <span class="fu">attr</span>(<span class="sc">*</span>, <span class="st">&quot;order&quot;</span>)<span class="ot">=</span> int [<span class="dv">1</span><span class="sc">:</span><span class="dv">4</span>] <span class="dv">1</span> <span class="dv">1</span> <span class="dv">1</span> <span class="dv">1</span></span>
+<span id="sha1_lm-38"><a href="#sha1_lm-38" aria-hidden="true" tabindex="-1"></a>  .. ..<span class="sc">-</span> <span class="fu">attr</span>(<span class="sc">*</span>, <span class="st">&quot;intercept&quot;</span>)<span class="ot">=</span> int <span class="dv">1</span></span>
+<span id="sha1_lm-39"><a href="#sha1_lm-39" aria-hidden="true" tabindex="-1"></a>  .. ..<span class="sc">-</span> <span class="fu">attr</span>(<span class="sc">*</span>, <span class="st">&quot;response&quot;</span>)<span class="ot">=</span> int <span class="dv">1</span></span>
+<span id="sha1_lm-40"><a href="#sha1_lm-40" aria-hidden="true" tabindex="-1"></a>  .. ..<span class="sc">-</span> <span class="fu">attr</span>(<span class="sc">*</span>, <span class="st">&quot;.Environment&quot;</span>)<span class="ot">=</span><span class="er">&lt;</span>environment<span class="sc">:</span> R_GlobalEnv<span class="sc">&gt;</span> </span>
+<span id="sha1_lm-41"><a href="#sha1_lm-41" aria-hidden="true" tabindex="-1"></a>  .. ..<span class="sc">-</span> <span class="fu">attr</span>(<span class="sc">*</span>, <span class="st">&quot;predvars&quot;</span>)<span class="ot">=</span> language <span class="fu">list</span>(sr, pop15, pop75, dpi, ddpi)</span>
+<span id="sha1_lm-42"><a href="#sha1_lm-42" aria-hidden="true" tabindex="-1"></a>  .. ..<span class="sc">-</span> <span class="fu">attr</span>(<span class="sc">*</span>, <span class="st">&quot;dataClasses&quot;</span>)<span class="ot">=</span> Named chr [<span class="dv">1</span><span class="sc">:</span><span class="dv">5</span>] <span class="st">&quot;numeric&quot;</span> <span class="st">&quot;numeric&quot;</span> <span class="st">&quot;numeric&quot;</span> <span class="st">&quot;numeric&quot;</span> ...</span>
+<span id="sha1_lm-43"><a href="#sha1_lm-43" aria-hidden="true" tabindex="-1"></a>  .. .. ..<span class="sc">-</span> <span class="fu">attr</span>(<span class="sc">*</span>, <span class="st">&quot;names&quot;</span>)<span class="ot">=</span> chr [<span class="dv">1</span><span class="sc">:</span><span class="dv">5</span>] <span class="st">&quot;sr&quot;</span> <span class="st">&quot;pop15&quot;</span> <span class="st">&quot;pop75&quot;</span> <span class="st">&quot;dpi&quot;</span> ...</span>
+<span id="sha1_lm-44"><a href="#sha1_lm-44" aria-hidden="true" tabindex="-1"></a> <span class="sc">$</span> model        <span class="sc">:</span><span class="st">&#39;data.frame&#39;</span><span class="sc">:</span>  <span class="dv">50</span> obs. of  <span class="dv">5</span> variables<span class="sc">:</span></span>
+<span id="sha1_lm-45"><a href="#sha1_lm-45" aria-hidden="true" tabindex="-1"></a>  ..<span class="sc">$</span> sr   <span class="sc">:</span> num [<span class="dv">1</span><span class="sc">:</span><span class="dv">50</span>] <span class="fl">11.43</span> <span class="fl">12.07</span> <span class="fl">13.17</span> <span class="fl">5.75</span> <span class="fl">12.88</span> ...</span>
+<span id="sha1_lm-46"><a href="#sha1_lm-46" aria-hidden="true" tabindex="-1"></a>  ..<span class="sc">$</span> pop15<span class="sc">:</span> num [<span class="dv">1</span><span class="sc">:</span><span class="dv">50</span>] <span class="fl">29.4</span> <span class="fl">23.3</span> <span class="fl">23.8</span> <span class="fl">41.9</span> <span class="fl">42.2</span> ...</span>
+<span id="sha1_lm-47"><a href="#sha1_lm-47" aria-hidden="true" tabindex="-1"></a>  ..<span class="sc">$</span> pop75<span class="sc">:</span> num [<span class="dv">1</span><span class="sc">:</span><span class="dv">50</span>] <span class="fl">2.87</span> <span class="fl">4.41</span> <span class="fl">4.43</span> <span class="fl">1.67</span> <span class="fl">0.83</span> <span class="fl">2.85</span> <span class="fl">1.34</span> <span class="fl">0.67</span> <span class="fl">1.06</span> <span class="fl">1.14</span> ...</span>
+<span id="sha1_lm-48"><a href="#sha1_lm-48" aria-hidden="true" tabindex="-1"></a>  ..<span class="sc">$</span> dpi  <span class="sc">:</span> num [<span class="dv">1</span><span class="sc">:</span><span class="dv">50</span>] <span class="dv">2330</span> <span class="dv">1508</span> <span class="dv">2108</span> <span class="dv">189</span> <span class="dv">728</span> ...</span>
+<span id="sha1_lm-49"><a href="#sha1_lm-49" aria-hidden="true" tabindex="-1"></a>  ..<span class="sc">$</span> ddpi <span class="sc">:</span> num [<span class="dv">1</span><span class="sc">:</span><span class="dv">50</span>] <span class="fl">2.87</span> <span class="fl">3.93</span> <span class="fl">3.82</span> <span class="fl">0.22</span> <span class="fl">4.56</span> <span class="fl">2.43</span> <span class="fl">2.67</span> <span class="fl">6.51</span> <span class="fl">3.08</span> <span class="fl">2.8</span> ...</span>
+<span id="sha1_lm-50"><a href="#sha1_lm-50" aria-hidden="true" tabindex="-1"></a>  ..<span class="sc">-</span> <span class="fu">attr</span>(<span class="sc">*</span>, <span class="st">&quot;terms&quot;</span>)<span class="ot">=</span>Classes <span class="st">&#39;terms&#39;</span>, <span class="st">&#39;formula&#39;</span>  language sr <span class="sc">~</span> pop15 <span class="sc">+</span> pop75 <span class="sc">+</span> dpi <span class="sc">+</span> ddpi</span>
+<span id="sha1_lm-51"><a href="#sha1_lm-51" aria-hidden="true" tabindex="-1"></a>  .. .. ..<span class="sc">-</span> <span class="fu">attr</span>(<span class="sc">*</span>, <span class="st">&quot;variables&quot;</span>)<span class="ot">=</span> language <span class="fu">list</span>(sr, pop15, pop75, dpi, ddpi)</span>
+<span id="sha1_lm-52"><a href="#sha1_lm-52" aria-hidden="true" tabindex="-1"></a>  .. .. ..<span class="sc">-</span> <span class="fu">attr</span>(<span class="sc">*</span>, <span class="st">&quot;factors&quot;</span>)<span class="ot">=</span> int [<span class="dv">1</span><span class="sc">:</span><span class="dv">5</span>, <span class="dv">1</span><span class="sc">:</span><span class="dv">4</span>] <span class="dv">0</span> <span class="dv">1</span> <span class="dv">0</span> <span class="dv">0</span> <span class="dv">0</span> <span class="dv">0</span> <span class="dv">0</span> <span class="dv">1</span> <span class="dv">0</span> <span class="dv">0</span> ...</span>
+<span id="sha1_lm-53"><a href="#sha1_lm-53" aria-hidden="true" tabindex="-1"></a>  .. .. .. ..<span class="sc">-</span> <span class="fu">attr</span>(<span class="sc">*</span>, <span class="st">&quot;dimnames&quot;</span>)<span class="ot">=</span>List of <span class="dv">2</span></span>
+<span id="sha1_lm-54"><a href="#sha1_lm-54" aria-hidden="true" tabindex="-1"></a>  .. .. .. .. ..<span class="sc">$</span> <span class="er">:</span> chr [<span class="dv">1</span><span class="sc">:</span><span class="dv">5</span>] <span class="st">&quot;sr&quot;</span> <span class="st">&quot;pop15&quot;</span> <span class="st">&quot;pop75&quot;</span> <span class="st">&quot;dpi&quot;</span> ...</span>
+<span id="sha1_lm-55"><a href="#sha1_lm-55" aria-hidden="true" tabindex="-1"></a>  .. .. .. .. ..<span class="sc">$</span> <span class="er">:</span> chr [<span class="dv">1</span><span class="sc">:</span><span class="dv">4</span>] <span class="st">&quot;pop15&quot;</span> <span class="st">&quot;pop75&quot;</span> <span class="st">&quot;dpi&quot;</span> <span class="st">&quot;ddpi&quot;</span></span>
+<span id="sha1_lm-56"><a href="#sha1_lm-56" aria-hidden="true" tabindex="-1"></a>  .. .. ..<span class="sc">-</span> <span class="fu">attr</span>(<span class="sc">*</span>, <span class="st">&quot;term.labels&quot;</span>)<span class="ot">=</span> chr [<span class="dv">1</span><span class="sc">:</span><span class="dv">4</span>] <span class="st">&quot;pop15&quot;</span> <span class="st">&quot;pop75&quot;</span> <span class="st">&quot;dpi&quot;</span> <span class="st">&quot;ddpi&quot;</span></span>
+<span id="sha1_lm-57"><a href="#sha1_lm-57" aria-hidden="true" tabindex="-1"></a>  .. .. ..<span class="sc">-</span> <span class="fu">attr</span>(<span class="sc">*</span>, <span class="st">&quot;order&quot;</span>)<span class="ot">=</span> int [<span class="dv">1</span><span class="sc">:</span><span class="dv">4</span>] <span class="dv">1</span> <span class="dv">1</span> <span class="dv">1</span> <span class="dv">1</span></span>
+<span id="sha1_lm-58"><a href="#sha1_lm-58" aria-hidden="true" tabindex="-1"></a>  .. .. ..<span class="sc">-</span> <span class="fu">attr</span>(<span class="sc">*</span>, <span class="st">&quot;intercept&quot;</span>)<span class="ot">=</span> int <span class="dv">1</span></span>
+<span id="sha1_lm-59"><a href="#sha1_lm-59" aria-hidden="true" tabindex="-1"></a>  .. .. ..<span class="sc">-</span> <span class="fu">attr</span>(<span class="sc">*</span>, <span class="st">&quot;response&quot;</span>)<span class="ot">=</span> int <span class="dv">1</span></span>
+<span id="sha1_lm-60"><a href="#sha1_lm-60" aria-hidden="true" tabindex="-1"></a>  .. .. ..<span class="sc">-</span> <span class="fu">attr</span>(<span class="sc">*</span>, <span class="st">&quot;.Environment&quot;</span>)<span class="ot">=</span><span class="er">&lt;</span>environment<span class="sc">:</span> R_GlobalEnv<span class="sc">&gt;</span> </span>
+<span id="sha1_lm-61"><a href="#sha1_lm-61" aria-hidden="true" tabindex="-1"></a>  .. .. ..<span class="sc">-</span> <span class="fu">attr</span>(<span class="sc">*</span>, <span class="st">&quot;predvars&quot;</span>)<span class="ot">=</span> language <span class="fu">list</span>(sr, pop15, pop75, dpi, ddpi)</span>
+<span id="sha1_lm-62"><a href="#sha1_lm-62" aria-hidden="true" tabindex="-1"></a>  .. .. ..<span class="sc">-</span> <span class="fu">attr</span>(<span class="sc">*</span>, <span class="st">&quot;dataClasses&quot;</span>)<span class="ot">=</span> Named chr [<span class="dv">1</span><span class="sc">:</span><span class="dv">5</span>] <span class="st">&quot;numeric&quot;</span> <span class="st">&quot;numeric&quot;</span> <span class="st">&quot;numeric&quot;</span> <span class="st">&quot;numeric&quot;</span> ...</span>
+<span id="sha1_lm-63"><a href="#sha1_lm-63" aria-hidden="true" tabindex="-1"></a>  .. .. .. ..<span class="sc">-</span> <span class="fu">attr</span>(<span class="sc">*</span>, <span class="st">&quot;names&quot;</span>)<span class="ot">=</span> chr [<span class="dv">1</span><span class="sc">:</span><span class="dv">5</span>] <span class="st">&quot;sr&quot;</span> <span class="st">&quot;pop15&quot;</span> <span class="st">&quot;pop75&quot;</span> <span class="st">&quot;dpi&quot;</span> ...</span>
+<span id="sha1_lm-64"><a href="#sha1_lm-64" aria-hidden="true" tabindex="-1"></a> <span class="sc">-</span> <span class="fu">attr</span>(<span class="sc">*</span>, <span class="st">&quot;class&quot;</span>)<span class="ot">=</span> chr <span class="st">&quot;lm&quot;</span></span>
+<span id="sha1_lm-65"><a href="#sha1_lm-65" aria-hidden="true" tabindex="-1"></a></span>
+<span id="sha1_lm-66"><a href="#sha1_lm-66" aria-hidden="true" tabindex="-1"></a><span class="sc">&gt;</span> lm_model <span class="ot">&lt;-</span> lm_SR<span class="sc">$</span>model</span>
+<span id="sha1_lm-67"><a href="#sha1_lm-67" aria-hidden="true" tabindex="-1"></a></span>
+<span id="sha1_lm-68"><a href="#sha1_lm-68" aria-hidden="true" tabindex="-1"></a><span class="sc">&gt;</span> lm_terms <span class="ot">&lt;-</span> lm_SR<span class="sc">$</span>terms</span>
+<span id="sha1_lm-69"><a href="#sha1_lm-69" aria-hidden="true" tabindex="-1"></a></span>
+<span id="sha1_lm-70"><a href="#sha1_lm-70" aria-hidden="true" tabindex="-1"></a><span class="sc">&gt;</span> <span class="fu">class</span>(lm_model)</span>
+<span id="sha1_lm-71"><a href="#sha1_lm-71" aria-hidden="true" tabindex="-1"></a>[<span class="dv">1</span>] <span class="st">&quot;data.frame&quot;</span></span>
+<span id="sha1_lm-72"><a href="#sha1_lm-72" aria-hidden="true" tabindex="-1"></a></span>
+<span id="sha1_lm-73"><a href="#sha1_lm-73" aria-hidden="true" tabindex="-1"></a><span class="sc">&gt;</span> <span class="fu">class</span>(lm_terms)</span>
+<span id="sha1_lm-74"><a href="#sha1_lm-74" aria-hidden="true" tabindex="-1"></a>[<span class="dv">1</span>] <span class="st">&quot;terms&quot;</span>   <span class="st">&quot;formula&quot;</span></span>
+<span id="sha1_lm-75"><a href="#sha1_lm-75" aria-hidden="true" tabindex="-1"></a></span>
+<span id="sha1_lm-76"><a href="#sha1_lm-76" aria-hidden="true" tabindex="-1"></a><span class="sc">&gt;</span> sha1.formula <span class="ot">&lt;-</span> <span class="cf">function</span>(x, <span class="at">digits =</span> <span class="dv">14</span>, <span class="at">zapsmall =</span> <span class="dv">7</span>, </span>
+<span id="sha1_lm-77"><a href="#sha1_lm-77" aria-hidden="true" tabindex="-1"></a><span class="sc">+</span>     ..., <span class="at">algo =</span> <span class="st">&quot;sha1&quot;</span>) {</span>
+<span id="sha1_lm-78"><a href="#sha1_lm-78" aria-hidden="true" tabindex="-1"></a><span class="sc">+</span>     <span class="fu">sha1</span>(<span class="fu">as.character</span>(x), <span class="at">digits =</span> digits, <span class="at">zapsmall =</span> zapsmall, </span>
+<span id="sha1_lm-79"><a href="#sha1_lm-79" aria-hidden="true" tabindex="-1"></a><span class="sc">+</span>         <span class="at">algo =</span> algo)</span>
+<span id="sha1_lm-80"><a href="#sha1_lm-80" aria-hidden="true" tabindex="-1"></a><span class="sc">+</span> }</span>
+<span id="sha1_lm-81"><a href="#sha1_lm-81" aria-hidden="true" tabindex="-1"></a></span>
+<span id="sha1_lm-82"><a href="#sha1_lm-82" aria-hidden="true" tabindex="-1"></a><span class="sc">&gt;</span> <span class="fu">sha1</span>(lm_terms)</span>
+<span id="sha1_lm-83"><a href="#sha1_lm-83" aria-hidden="true" tabindex="-1"></a>[<span class="dv">1</span>] <span class="st">&quot;2737d209720aa7d1c0555050ad06ebe89f3850cd&quot;</span></span>
+<span id="sha1_lm-84"><a href="#sha1_lm-84" aria-hidden="true" tabindex="-1"></a></span>
+<span id="sha1_lm-85"><a href="#sha1_lm-85" aria-hidden="true" tabindex="-1"></a><span class="sc">&gt;</span> <span class="fu">sha1</span>(lm_model)</span>
+<span id="sha1_lm-86"><a href="#sha1_lm-86" aria-hidden="true" tabindex="-1"></a>[<span class="dv">1</span>] <span class="st">&quot;27b7dd9e3e09b9577da6947b8473b63a1d0b6eb4&quot;</span></span>
+<span id="sha1_lm-87"><a href="#sha1_lm-87" aria-hidden="true" tabindex="-1"></a></span>
+<span id="sha1_lm-88"><a href="#sha1_lm-88" aria-hidden="true" tabindex="-1"></a><span class="sc">&gt;</span> sha1.lm <span class="ot">&lt;-</span> <span class="cf">function</span>(x, <span class="at">digits =</span> <span class="dv">14</span>, <span class="at">zapsmall =</span> <span class="dv">7</span>, </span>
+<span id="sha1_lm-89"><a href="#sha1_lm-89" aria-hidden="true" tabindex="-1"></a><span class="sc">+</span>     ..., <span class="at">algo =</span> <span class="st">&quot;sha1&quot;</span>) {</span>
+<span id="sha1_lm-90"><a href="#sha1_lm-90" aria-hidden="true" tabindex="-1"></a><span class="sc">+</span>     lm_model <span class="ot">&lt;-</span> x<span class="sc">$</span>model</span>
+<span id="sha1_lm-91"><a href="#sha1_lm-91" aria-hidden="true" tabindex="-1"></a><span class="sc">+</span>     lm_terms <span class="ot">&lt;-</span> x<span class="sc">$</span>terms</span>
+<span id="sha1_lm-92"><a href="#sha1_lm-92" aria-hidden="true" tabindex="-1"></a><span class="sc">+</span>     combined <span class="ot">&lt;-</span> <span class="fu">list</span>(lm_model, lm_terms)</span>
+<span id="sha1_lm-93"><a href="#sha1_lm-93" aria-hidden="true" tabindex="-1"></a><span class="sc">+</span>     <span class="fu">sha1</span>(combined, <span class="at">digits =</span> digits, <span class="at">zapsmall =</span> zapsmall, ..., </span>
+<span id="sha1_lm-94"><a href="#sha1_lm-94" aria-hidden="true" tabindex="-1"></a><span class="sc">+</span>         <span class="at">algo =</span> algo)</span>
+<span id="sha1_lm-95"><a href="#sha1_lm-95" aria-hidden="true" tabindex="-1"></a><span class="sc">+</span> }</span>
+<span id="sha1_lm-96"><a href="#sha1_lm-96" aria-hidden="true" tabindex="-1"></a></span>
+<span id="sha1_lm-97"><a href="#sha1_lm-97" aria-hidden="true" tabindex="-1"></a><span class="sc">&gt;</span> <span class="fu">sha1</span>(lm_SR)</span>
+<span id="sha1_lm-98"><a href="#sha1_lm-98" aria-hidden="true" tabindex="-1"></a>[<span class="dv">1</span>] <span class="st">&quot;7eda2a9d58e458c8e782e40ce140d62b836b2a2f&quot;</span></span>
+<span id="sha1_lm-99"><a href="#sha1_lm-99" aria-hidden="true" tabindex="-1"></a></span>
+<span id="sha1_lm-100"><a href="#sha1_lm-100" aria-hidden="true" tabindex="-1"></a><span class="sc">&gt;</span> <span class="fu">sha1</span>(lm_SR2)</span>
+<span id="sha1_lm-101"><a href="#sha1_lm-101" aria-hidden="true" tabindex="-1"></a>[<span class="dv">1</span>] <span class="st">&quot;4d3abdb1f17bd12fdf9d9b91a2ad04c07824fe4a&quot;</span></span></code></pre></div>
+<h2 id="using-hashes-to-track-changes-in-analysis">Using hashes to track changes in analysis</h2>
+<p>Use case</p>
+<ul>
+<li><p>automated analysis</p></li>
+<li><p>update frequency of the data might be lower than the frequency of automated analysis</p></li>
+<li><p>similar analyses on many datasets (e.g.Â many species in ecology)</p></li>
+<li><p>analyses that require a lot of computing time</p>
+<ul>
+<li>not rerunning an analysis because nothing has changed saves enough resources to compensate the overhead of tracking changes</li>
+</ul></li>
+<li><p>Bundle all relevant information on an analysis in a class</p>
+<ul>
+<li>data</li>
+<li>method</li>
+<li>formula</li>
+<li>other metadata</li>
+<li>resulting model</li>
+</ul></li>
+<li><p>calculate <code>sha1()</code></p>
+<p>file fingerprint ~ <code>sha1()</code> on the stable parts</p>
+<p>status fingerprint ~ <code>sha1()</code> on the parts that result for the model</p></li>
+</ul>
+<ol type="1">
+<li>Prepare analysis objects</li>
+<li>Store each analysis object in a rda file which uses the file fingerprint as filename
+<ul>
+<li>File will already exist when no change in analysis</li>
+<li>Donâ€™t overwrite existing files</li>
+</ul></li>
+<li>Loop over all rda files
+<ul>
+<li>Do nothing if the analysis was run</li>
+<li>Otherwise run the analysis and update the status and status fingerprint</li>
+</ul></li>
+</ol>
+</body>
+</html>
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--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/digest/help/AnIndex	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/digest/help/AnIndex	(revision 3761)
@@ -0,0 +1,35 @@
+AES	AES
+digest	digest
+digest2int	digest2int
+getVDigest	vdigest
+hmac	hmac
+makeRaw	makeRaw
+makeRaw.character	makeRaw
+makeRaw.default	makeRaw
+makeRaw.digest	makeRaw
+makeRaw.raw	makeRaw
+sha1	sha1
+sha1.(	sha1
+sha1.anova	sha1
+sha1.array	sha1
+sha1.call	sha1
+sha1.character	sha1
+sha1.complex	sha1
+sha1.data.frame	sha1
+sha1.Date	sha1
+sha1.factor	sha1
+sha1.formula	sha1
+sha1.function	sha1
+sha1.integer	sha1
+sha1.list	sha1
+sha1.logical	sha1
+sha1.matrix	sha1
+sha1.name	sha1
+sha1.NULL	sha1
+sha1.numeric	sha1
+sha1.pairlist	sha1
+sha1.POSIXct	sha1
+sha1.POSIXlt	sha1
+sha1.raw	sha1
+sha1_attr_digest	sha1
+sha1_digest	sha1
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/digest/help/paths.rds
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Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/boot/R/boot
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/boot/R/boot	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/boot/R/boot	(revision 3761)
@@ -0,0 +1,27 @@
+#  File share/R/nspackloader.R
+#  Part of the R package, https://www.R-project.org
+#
+#  Copyright (C) 1995-2012 The R Core Team
+#
+#  This program is free software; you can redistribute it and/or modify
+#  it under the terms of the GNU General Public License as published by
+#  the Free Software Foundation; either version 2 of the License, or
+#  (at your option) any later version.
+#
+#  This program is distributed in the hope that it will be useful,
+#  but WITHOUT ANY WARRANTY; without even the implied warranty of
+#  MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
+#  GNU General Public License for more details.
+#
+#  A copy of the GNU General Public License is available at
+#  https://www.r-project.org/Licenses/
+
+local({
+    info <- loadingNamespaceInfo()
+    pkg <- info$pkgname
+    ns <- .getNamespace(as.name(pkg))
+    if (is.null(ns))
+        stop("cannot find namespace environment for ", pkg, domain = NA);
+    dbbase <- file.path(info$libname, pkg, "R", pkg)
+    lazyLoad(dbbase, ns, filter = function(n) n != ".__NAMESPACE__.")
+})
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/boot/R/boot.rdb
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Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/boot/tests/parallel-censboot.R
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/boot/tests/parallel-censboot.R	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/boot/tests/parallel-censboot.R	(revision 3761)
@@ -0,0 +1,12 @@
+## Reported by Duncan Murdoch (from StackOverflow) 2021-02-04
+
+library(survival)
+library(boot)
+statMeanSurv <- function(data, var) {
+    surv <- survfit(Surv(time, cens) ~ 1, data = data)
+    mean(surv$surv) + var
+}
+## both have datasets aml
+res <- censboot(boot::aml, statMeanSurv, R = 5L, var = 1,
+                parallel = "multicore", ncpus = 2L)
+res$t
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/boot/tests/Examples/boot-Ex.Rout.save
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/boot/tests/Examples/boot-Ex.Rout.save	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/boot/tests/Examples/boot-Ex.Rout.save	(revision 3761)
@@ -0,0 +1,2008 @@
+
+R Under development (unstable) (2019-12-19 r77606) -- "Unsuffered Consequences"
+Copyright (C) 2019 The R Foundation for Statistical Computing
+Platform: x86_64-pc-linux-gnu (64-bit)
+
+R is free software and comes with ABSOLUTELY NO WARRANTY.
+You are welcome to redistribute it under certain conditions.
+Type 'license()' or 'licence()' for distribution details.
+
+  Natural language support but running in an English locale
+
+R is a collaborative project with many contributors.
+Type 'contributors()' for more information and
+'citation()' on how to cite R or R packages in publications.
+
+Type 'demo()' for some demos, 'help()' for on-line help, or
+'help.start()' for an HTML browser interface to help.
+Type 'q()' to quit R.
+
+> pkgname <- "boot"
+> source(file.path(R.home("share"), "R", "examples-header.R"))
+> options(warn = 1)
+> library('boot')
+> 
+> base::assign(".oldSearch", base::search(), pos = 'CheckExEnv')
+> base::assign(".old_wd", base::getwd(), pos = 'CheckExEnv')
+> cleanEx()
+> nameEx("Imp.Estimates")
+> ### * Imp.Estimates
+> 
+> flush(stderr()); flush(stdout())
+> 
+> ### Name: Imp.Estimates
+> ### Title: Importance Sampling Estimates
+> ### Aliases: Imp.Estimates imp.moments imp.prob imp.quantile imp.reg
+> ### Keywords: htest nonparametric
+> 
+> ### ** Examples
+> 
+> # Example 9.8 of Davison and Hinkley (1997) requires tilting the 
+> # resampling distribution of the studentized statistic to be centred 
+> # at the observed value of the test statistic, 1.84.  In this example
+> # we show how certain estimates can be found using resamples taken from
+> # the tilted distribution.
+> grav1 <- gravity[as.numeric(gravity[,2]) >= 7, ]
+> grav.fun <- function(dat, w, orig) {
++      strata <- tapply(dat[, 2], as.numeric(dat[, 2]))
++      d <- dat[, 1]
++      ns <- tabulate(strata)
++      w <- w/tapply(w, strata, sum)[strata]
++      mns <- as.vector(tapply(d * w, strata, sum)) # drop names
++      mn2 <- tapply(d * d * w, strata, sum)
++      s2hat <- sum((mn2 - mns^2)/ns)
++      c(mns[2] - mns[1], s2hat, (mns[2] - mns[1] - orig)/sqrt(s2hat))
++ }
+> grav.z0 <- grav.fun(grav1, rep(1, 26), 0)
+> grav.L <- empinf(data = grav1, statistic = grav.fun, stype = "w", 
++                  strata = grav1[,2], index = 3, orig = grav.z0[1])
+> grav.tilt <- exp.tilt(grav.L, grav.z0[3], strata = grav1[, 2])
+> grav.tilt.boot <- boot(grav1, grav.fun, R = 199, stype = "w", 
++                        strata = grav1[, 2], weights = grav.tilt$p,
++                        orig = grav.z0[1])
+> # Since the weights are needed for all calculations, we shall calculate
+> # them once only.
+> grav.w <- imp.weights(grav.tilt.boot)
+> grav.mom <- imp.moments(grav.tilt.boot, w = grav.w, index = 3)
+> grav.p <- imp.prob(grav.tilt.boot, w = grav.w, index = 3, t0 = grav.z0[3])
+> unlist(grav.p)
+       t0       raw       rat       reg 
+1.8401182 1.0222447 0.9778246 0.9767292 
+> grav.q <- imp.quantile(grav.tilt.boot, w = grav.w, index = 3, 
++                        alpha = c(0.9, 0.95, 0.975, 0.99))
+> as.data.frame(grav.q)
+  alpha      raw      rat      reg
+1 0.900 3.048484 1.170707 5.056004
+2 0.950 3.237935 1.565928 5.056004
+3 0.975 3.629448 1.895876 5.056004
+4 0.990 3.629448 2.258157 5.056004
+> 
+> 
+> 
+> cleanEx()
+> nameEx("abc.ci")
+> ### * abc.ci
+> 
+> flush(stderr()); flush(stdout())
+> 
+> ### Name: abc.ci
+> ### Title: Nonparametric ABC Confidence Intervals
+> ### Aliases: abc.ci
+> ### Keywords: nonparametric htest
+> 
+> ### ** Examples
+> 
+> ## Don't show: 
+> op <- options(digits = 5)
+> ## End(Don't show)
+> # 90% and 95% confidence intervals for the correlation 
+> # coefficient between the columns of the bigcity data
+> 
+> abc.ci(bigcity, corr, conf=c(0.90,0.95))
+     conf                
+[1,] 0.90 0.95815 0.99173
+[2,] 0.95 0.94937 0.99307
+> 
+> # A 95% confidence interval for the difference between the means of
+> # the last two samples in gravity
+> mean.diff <- function(y, w)
++ {    gp1 <- 1:table(as.numeric(y$series))[1]
++      sum(y[gp1, 1] * w[gp1]) - sum(y[-gp1, 1] * w[-gp1])
++ }
+> grav1 <- gravity[as.numeric(gravity[, 2]) >= 7, ]
+> ## IGNORE_RDIFF_BEGIN
+> abc.ci(grav1, mean.diff, strata = grav1$series)
+[1]  0.95000 -6.70758 -0.39394
+> ## IGNORE_RDIFF_END
+> ## Don't show: 
+> options(op)
+> ## End(Don't show)
+> 
+> 
+> 
+> cleanEx()
+> nameEx("boot")
+> ### * boot
+> 
+> flush(stderr()); flush(stdout())
+> 
+> ### Name: boot
+> ### Title: Bootstrap Resampling
+> ### Aliases: boot boot.return c.boot
+> ### Keywords: nonparametric htest
+> 
+> ### ** Examples
+> 
+> ## Don't show: 
+> op <- options(digits = 5)
+> ## End(Don't show)
+> # Usual bootstrap of the ratio of means using the city data
+> ratio <- function(d, w) sum(d$x * w)/sum(d$u * w)
+> boot(city, ratio, R = 999, stype = "w")
+
+ORDINARY NONPARAMETRIC BOOTSTRAP
+
+
+Call:
+boot(data = city, statistic = ratio, R = 999, stype = "w")
+
+
+Bootstrap Statistics :
+    original   bias    std. error
+t1*   1.5203 0.049024     0.21583
+> 
+> 
+> # Stratified resampling for the difference of means.  In this
+> # example we will look at the difference of means between the final
+> # two series in the gravity data.
+> diff.means <- function(d, f)
++ {    n <- nrow(d)
++      gp1 <- 1:table(as.numeric(d$series))[1]
++      m1 <- sum(d[gp1,1] * f[gp1])/sum(f[gp1])
++      m2 <- sum(d[-gp1,1] * f[-gp1])/sum(f[-gp1])
++      ss1 <- sum(d[gp1,1]^2 * f[gp1]) - (m1 *  m1 * sum(f[gp1]))
++      ss2 <- sum(d[-gp1,1]^2 * f[-gp1]) - (m2 *  m2 * sum(f[-gp1]))
++      c(m1 - m2, (ss1 + ss2)/(sum(f) - 2))
++ }
+> grav1 <- gravity[as.numeric(gravity[,2]) >= 7,]
+> boot(grav1, diff.means, R = 999, stype = "f", strata = grav1[,2])
+
+STRATIFIED BOOTSTRAP
+
+
+Call:
+boot(data = grav1, statistic = diff.means, R = 999, stype = "f", 
+    strata = grav1[, 2])
+
+
+Bootstrap Statistics :
+    original    bias    std. error
+t1*  -2.8462  0.007469      1.5528
+t2*  16.8462 -1.475719      6.7147
+> 
+> # In this example we show the use of boot in a prediction from
+> # regression based on the nuclear data.  This example is taken
+> # from Example 6.8 of Davison and Hinkley (1997).  Notice also
+> # that two extra arguments to 'statistic' are passed through boot.
+> nuke <- nuclear[, c(1, 2, 5, 7, 8, 10, 11)]
+> nuke.lm <- glm(log(cost) ~ date+log(cap)+ne+ct+log(cum.n)+pt, data = nuke)
+> nuke.diag <- glm.diag(nuke.lm)
+> nuke.res <- nuke.diag$res * nuke.diag$sd
+> nuke.res <- nuke.res - mean(nuke.res)
+> 
+> # We set up a new data frame with the data, the standardized 
+> # residuals and the fitted values for use in the bootstrap.
+> nuke.data <- data.frame(nuke, resid = nuke.res, fit = fitted(nuke.lm))
+> 
+> # Now we want a prediction of plant number 32 but at date 73.00
+> new.data <- data.frame(cost = 1, date = 73.00, cap = 886, ne = 0,
++                        ct = 0, cum.n = 11, pt = 1)
+> new.fit <- predict(nuke.lm, new.data)
+> 
+> nuke.fun <- function(dat, inds, i.pred, fit.pred, x.pred)
++ {
++      lm.b <- glm(fit+resid[inds] ~ date+log(cap)+ne+ct+log(cum.n)+pt,
++                  data = dat)
++      pred.b <- predict(lm.b, x.pred)
++      c(coef(lm.b), pred.b - (fit.pred + dat$resid[i.pred]))
++ }
+> 
+> nuke.boot <- boot(nuke.data, nuke.fun, R = 999, m = 1, 
++                   fit.pred = new.fit, x.pred = new.data)
+> # The bootstrap prediction squared error would then be found by
+> mean(nuke.boot$t[, 8]^2)
+[1] 0.084223
+> # Basic bootstrap prediction limits would be
+> new.fit - sort(nuke.boot$t[, 8])[c(975, 25)]
+[1] 6.1488 7.2619
+> 
+> 
+> # Finally a parametric bootstrap.  For this example we shall look 
+> # at the air-conditioning data.  In this example our aim is to test 
+> # the hypothesis that the true value of the index is 1 (i.e. that 
+> # the data come from an exponential distribution) against the 
+> # alternative that the data come from a gamma distribution with
+> # index not equal to 1.
+> air.fun <- function(data) {
++      ybar <- mean(data$hours)
++      para <- c(log(ybar), mean(log(data$hours)))
++      ll <- function(k) {
++           if (k <= 0) 1e200 else lgamma(k)-k*(log(k)-1-para[1]+para[2])
++      }
++      khat <- nlm(ll, ybar^2/var(data$hours))$estimate
++      c(ybar, khat)
++ }
+> 
+> air.rg <- function(data, mle) {
++     # Function to generate random exponential variates.
++     # mle will contain the mean of the original data
++     out <- data
++     out$hours <- rexp(nrow(out), 1/mle)
++     out
++ }
+> 
+> air.boot <- boot(aircondit, air.fun, R = 999, sim = "parametric",
++                  ran.gen = air.rg, mle = mean(aircondit$hours))
+> 
+> # The bootstrap p-value can then be approximated by
+> sum(abs(air.boot$t[,2]-1) > abs(air.boot$t0[2]-1))/(1+air.boot$R)
+[1] 0.446
+> ## Don't show: 
+> options(op)
+> ## End(Don't show)
+> 
+> 
+> 
+> cleanEx()
+> nameEx("boot.array")
+> ### * boot.array
+> 
+> flush(stderr()); flush(stdout())
+> 
+> ### Name: boot.array
+> ### Title: Bootstrap Resampling Arrays
+> ### Aliases: boot.array
+> ### Keywords: nonparametric
+> 
+> ### ** Examples
+> 
+> #  A frequency array for a nonparametric bootstrap
+> city.boot <- boot(city, corr, R = 40, stype = "w")
+> boot.array(city.boot)
+      [,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] [,9] [,10]
+ [1,]    1    1    0    0    0    2    1    1    3     1
+ [2,]    2    2    0    2    0    0    1    0    1     2
+ [3,]    0    1    1    1    2    1    2    1    0     1
+ [4,]    1    0    1    0    0    1    2    1    1     3
+ [5,]    0    3    0    1    0    0    2    0    2     2
+ [6,]    0    0    1    1    0    1    4    1    2     0
+ [7,]    1    3    1    2    0    0    0    1    2     0
+ [8,]    0    2    2    2    0    1    0    1    0     2
+ [9,]    3    0    1    0    2    2    1    1    0     0
+[10,]    1    1    0    1    3    0    0    1    2     1
+[11,]    0    1    2    1    3    1    0    0    0     2
+[12,]    1    1    3    1    0    0    0    2    1     1
+[13,]    0    1    0    1    1    3    1    1    1     1
+[14,]    2    0    0    1    1    1    0    1    3     1
+[15,]    1    0    0    0    0    0    5    0    4     0
+[16,]    0    0    1    1    2    1    0    1    4     0
+[17,]    1    0    1    0    5    0    0    1    0     2
+[18,]    1    0    1    0    3    2    1    1    0     1
+[19,]    1    2    2    2    0    1    0    1    1     0
+[20,]    1    1    1    1    2    0    1    0    1     2
+[21,]    2    0    2    1    1    1    0    1    0     2
+[22,]    2    0    1    1    1    0    1    2    1     1
+[23,]    1    2    1    1    0    1    1    1    0     2
+[24,]    3    0    1    0    1    0    1    1    0     3
+[25,]    1    2    1    2    1    1    0    1    1     0
+[26,]    2    0    2    0    1    3    0    1    0     1
+[27,]    2    1    0    2    1    1    0    1    2     0
+[28,]    1    1    2    0    1    0    1    0    3     1
+[29,]    1    2    1    1    1    3    1    0    0     0
+[30,]    2    0    0    2    1    0    0    2    1     2
+[31,]    0    1    1    1    2    0    3    1    0     1
+[32,]    0    0    1    1    1    4    0    0    0     3
+[33,]    1    0    3    2    0    0    0    2    1     1
+[34,]    0    1    0    2    4    1    1    1    0     0
+[35,]    0    1    1    0    2    1    1    0    3     1
+[36,]    3    0    1    0    2    0    1    1    2     0
+[37,]    2    1    1    0    1    0    2    2    1     0
+[38,]    1    0    2    0    1    1    3    1    1     0
+[39,]    1    1    0    2    0    1    1    1    2     1
+[40,]    0    1    2    3    1    1    0    2    0     0
+> 
+> perm.cor <- function(d,i) cor(d$x,d$u[i])
+> city.perm <- boot(city, perm.cor, R = 40, sim = "permutation")
+> boot.array(city.perm, indices = TRUE)
+      [,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] [,9] [,10]
+ [1,]    7    8    2    6    9    5    4    3   10     1
+ [2,]    1    9    8    6    5    3    4    7    2    10
+ [3,]   10    1    6    9    4    5    2    8    3     7
+ [4,]    4    5    7    6    3   10    9    8    2     1
+ [5,]   10    3    6    7    5    2    8    9    1     4
+ [6,]    4   10    8    2    5    6    7    3    9     1
+ [7,]    5    8   10    3    2    4    7    1    6     9
+ [8,]    3    8    4    9    2    7    1    5   10     6
+ [9,]    6    5    1    3    7    2    4   10    9     8
+[10,]    4    9    6   10    8    1    7    3    5     2
+[11,]    5   10    1    8    6    2    3    4    9     7
+[12,]    7    6    1    3   10    2    8    4    5     9
+[13,]   10    8    3    6    9    7    1    5    2     4
+[14,]    6    7   10    1    5    4    8    2    9     3
+[15,]    9    1    5    3    2    8    6   10    7     4
+[16,]    9    5    7    6    4   10    1    3    8     2
+[17,]    1    8    3   10    4    5    9    7    6     2
+[18,]    1   10    5    8    2    4    7    9    6     3
+[19,]    8    2    7    4    9    3   10    6    5     1
+[20,]   10    4    8    6    5    9    1    3    2     7
+[21,]    2    1   10    4    5    7    8    3    6     9
+[22,]    3    1   10    5    2    4    8    6    9     7
+[23,]    8    4    1   10    9    6    2    7    5     3
+[24,]    2    3    7    8    1    6    4    5   10     9
+[25,]    4    8    9    5   10    6    2    7    3     1
+[26,]    1    9    2   10    6    5    4    8    7     3
+[27,]    9   10    7    1    3    8    6    2    4     5
+[28,]    6    7    2    3    4    1    8    9   10     5
+[29,]    5    2    1    9    4    8    7    6   10     3
+[30,]    7    4    6    2    5    1    9   10    3     8
+[31,]    8    5    1    6    7    9    4    3    2    10
+[32,]    3   10    4    5    7    6    1    9    8     2
+[33,]    7    4    9   10    3    5    6    1    2     8
+[34,]   10    6    2    8    7    3    4    9    1     5
+[35,]    7    5    6    1   10    9    2    4    3     8
+[36,]    9    1    8    6   10    5    2    7    3     4
+[37,]    5    6    8    2    4   10    3    9    7     1
+[38,]    5   10    4    3    1    2    8    9    7     6
+[39,]    6    9    7    3    5    1   10    2    8     4
+[40,]    9    3    8    2    6    7    5    1   10     4
+> 
+> 
+> 
+> cleanEx()
+> nameEx("boot.ci")
+> ### * boot.ci
+> 
+> flush(stderr()); flush(stdout())
+> 
+> ### Name: boot.ci
+> ### Title: Nonparametric Bootstrap Confidence Intervals
+> ### Aliases: boot.ci
+> ### Keywords: nonparametric htest
+> 
+> ### ** Examples
+> 
+> # confidence intervals for the city data
+> ratio <- function(d, w) sum(d$x * w)/sum(d$u * w)
+> city.boot <- boot(city, ratio, R = 999, stype = "w", sim = "ordinary")
+> boot.ci(city.boot, conf = c(0.90, 0.95),
++         type = c("norm", "basic", "perc", "bca"))
+BOOTSTRAP CONFIDENCE INTERVAL CALCULATIONS
+Based on 999 bootstrap replicates
+
+CALL : 
+boot.ci(boot.out = city.boot, conf = c(0.9, 0.95), type = c("norm", 
+    "basic", "perc", "bca"))
+
+Intervals : 
+Level      Normal              Basic         
+90%   ( 1.116,  1.826 )   ( 1.054,  1.742 )   
+95%   ( 1.048,  1.894 )   ( 0.956,  1.775 )  
+
+Level     Percentile            BCa          
+90%   ( 1.299,  1.987 )   ( 1.292,  1.957 )   
+95%   ( 1.266,  2.085 )   ( 1.254,  2.058 )  
+Calculations and Intervals on Original Scale
+> 
+> # studentized confidence interval for the two sample 
+> # difference of means problem using the final two series
+> # of the gravity data. 
+> diff.means <- function(d, f)
++ {    n <- nrow(d)
++      gp1 <- 1:table(as.numeric(d$series))[1]
++      m1 <- sum(d[gp1,1] * f[gp1])/sum(f[gp1])
++      m2 <- sum(d[-gp1,1] * f[-gp1])/sum(f[-gp1])
++      ss1 <- sum(d[gp1,1]^2 * f[gp1]) - (m1 *  m1 * sum(f[gp1]))
++      ss2 <- sum(d[-gp1,1]^2 * f[-gp1]) - (m2 *  m2 * sum(f[-gp1]))
++      c(m1 - m2, (ss1 + ss2)/(sum(f) - 2))
++ }
+> grav1 <- gravity[as.numeric(gravity[,2]) >= 7, ]
+> grav1.boot <- boot(grav1, diff.means, R = 999, stype = "f",
++                    strata = grav1[ ,2])
+> boot.ci(grav1.boot, type = c("stud", "norm"))
+BOOTSTRAP CONFIDENCE INTERVAL CALCULATIONS
+Based on 999 bootstrap replicates
+
+CALL : 
+boot.ci(boot.out = grav1.boot, type = c("stud", "norm"))
+
+Intervals : 
+Level      Normal            Studentized     
+95%   (-5.897,  0.190 )   (-7.370, -0.052 )  
+Calculations and Intervals on Original Scale
+> 
+> # Nonparametric confidence intervals for mean failure time 
+> # of the air-conditioning data as in Example 5.4 of Davison
+> # and Hinkley (1997)
+> mean.fun <- function(d, i) 
++ {    m <- mean(d$hours[i])
++      n <- length(i)
++      v <- (n-1)*var(d$hours[i])/n^2
++      c(m, v)
++ }
+> air.boot <- boot(aircondit, mean.fun, R = 999)
+> boot.ci(air.boot, type = c("norm", "basic", "perc", "stud"))
+BOOTSTRAP CONFIDENCE INTERVAL CALCULATIONS
+Based on 999 bootstrap replicates
+
+CALL : 
+boot.ci(boot.out = air.boot, type = c("norm", "basic", "perc", 
+    "stud"))
+
+Intervals : 
+Level      Normal              Basic         
+95%   ( 32.2, 184.5 )   ( 21.2, 169.4 )  
+
+Level    Studentized          Percentile     
+95%   ( 45.6, 295.8 )   ( 46.8, 195.0 )  
+Calculations and Intervals on Original Scale
+> 
+> # Now using the log transformation
+> # There are two ways of doing this and they both give the
+> # same intervals.
+> 
+> # Method 1
+> boot.ci(air.boot, type = c("norm", "basic", "perc", "stud"), 
++         h = log, hdot = function(x) 1/x)
+BOOTSTRAP CONFIDENCE INTERVAL CALCULATIONS
+Based on 999 bootstrap replicates
+
+CALL : 
+boot.ci(boot.out = air.boot, type = c("norm", "basic", "perc", 
+    "stud"), h = log, hdot = function(x) 1/x)
+
+Intervals : 
+Level      Normal              Basic         
+95%   ( 4.015,  5.491 )   ( 4.093,  5.521 )  
+
+Level    Studentized          Percentile     
+95%   ( 3.922,  5.808 )   ( 3.845,  5.273 )  
+Calculations and Intervals on  Transformed Scale
+> 
+> # Method 2
+> vt0 <- air.boot$t0[2]/air.boot$t0[1]^2
+> vt <- air.boot$t[, 2]/air.boot$t[ ,1]^2
+> boot.ci(air.boot, type = c("norm", "basic", "perc", "stud"), 
++         t0 = log(air.boot$t0[1]), t = log(air.boot$t[,1]),
++         var.t0 = vt0, var.t = vt)
+BOOTSTRAP CONFIDENCE INTERVAL CALCULATIONS
+Based on 999 bootstrap replicates
+
+CALL : 
+boot.ci(boot.out = air.boot, type = c("norm", "basic", "perc", 
+    "stud"), var.t0 = vt0, var.t = vt, t0 = log(air.boot$t0[1]), 
+    t = log(air.boot$t[, 1]))
+
+Intervals : 
+Level      Normal              Basic         
+95%   ( 4.070,  5.435 )   ( 4.093,  5.521 )  
+
+Level    Studentized          Percentile     
+95%   ( 3.922,  5.808 )   ( 3.845,  5.273 )  
+Calculations and Intervals on Original Scale
+> 
+> 
+> 
+> cleanEx()
+> nameEx("censboot")
+> ### * censboot
+> 
+> flush(stderr()); flush(stdout())
+> 
+> ### Name: censboot
+> ### Title: Bootstrap for Censored Data
+> ### Aliases: censboot cens.return
+> ### Keywords: survival
+> 
+> ### ** Examples
+> 
+> library(survival)
+
+Attaching package: â€˜survivalâ€™
+
+The following object is masked from â€˜package:bootâ€™:
+
+    aml
+
+> # Example 3.9 of Davison and Hinkley (1997) does a bootstrap on some
+> # remission times for patients with a type of leukaemia.  The patients
+> # were divided into those who received maintenance chemotherapy and 
+> # those who did not.  Here we are interested in the median remission 
+> # time for the two groups.
+> data(aml, package = "boot") # not the version in survival.
+> aml.fun <- function(data) {
++      surv <- survfit(Surv(time, cens) ~ group, data = data)
++      out <- NULL
++      st <- 1
++      for (s in 1:length(surv$strata)) {
++           inds <- st:(st + surv$strata[s]-1)
++           md <- min(surv$time[inds[1-surv$surv[inds] >= 0.5]])
++           st <- st + surv$strata[s]
++           out <- c(out, md)
++      }
++      out
++ }
+> aml.case <- censboot(aml, aml.fun, R = 499, strata = aml$group)
+Warning in min(surv$time[inds[1 - surv$surv[inds] >= 0.5]]) :
+  no non-missing arguments to min; returning Inf
+Warning in min(surv$time[inds[1 - surv$surv[inds] >= 0.5]]) :
+  no non-missing arguments to min; returning Inf
+Warning in min(surv$time[inds[1 - surv$surv[inds] >= 0.5]]) :
+  no non-missing arguments to min; returning Inf
+Warning in min(surv$time[inds[1 - surv$surv[inds] >= 0.5]]) :
+  no non-missing arguments to min; returning Inf
+Warning in min(surv$time[inds[1 - surv$surv[inds] >= 0.5]]) :
+  no non-missing arguments to min; returning Inf
+Warning in min(surv$time[inds[1 - surv$surv[inds] >= 0.5]]) :
+  no non-missing arguments to min; returning Inf
+Warning in min(surv$time[inds[1 - surv$surv[inds] >= 0.5]]) :
+  no non-missing arguments to min; returning Inf
+Warning in min(surv$time[inds[1 - surv$surv[inds] >= 0.5]]) :
+  no non-missing arguments to min; returning Inf
+Warning in min(surv$time[inds[1 - surv$surv[inds] >= 0.5]]) :
+  no non-missing arguments to min; returning Inf
+Warning in min(surv$time[inds[1 - surv$surv[inds] >= 0.5]]) :
+  no non-missing arguments to min; returning Inf
+Warning in min(surv$time[inds[1 - surv$surv[inds] >= 0.5]]) :
+  no non-missing arguments to min; returning Inf
+Warning in min(surv$time[inds[1 - surv$surv[inds] >= 0.5]]) :
+  no non-missing arguments to min; returning Inf
+Warning in min(surv$time[inds[1 - surv$surv[inds] >= 0.5]]) :
+  no non-missing arguments to min; returning Inf
+Warning in min(surv$time[inds[1 - surv$surv[inds] >= 0.5]]) :
+  no non-missing arguments to min; returning Inf
+Warning in min(surv$time[inds[1 - surv$surv[inds] >= 0.5]]) :
+  no non-missing arguments to min; returning Inf
+Warning in min(surv$time[inds[1 - surv$surv[inds] >= 0.5]]) :
+  no non-missing arguments to min; returning Inf
+Warning in min(surv$time[inds[1 - surv$surv[inds] >= 0.5]]) :
+  no non-missing arguments to min; returning Inf
+Warning in min(surv$time[inds[1 - surv$surv[inds] >= 0.5]]) :
+  no non-missing arguments to min; returning Inf
+Warning in min(surv$time[inds[1 - surv$surv[inds] >= 0.5]]) :
+  no non-missing arguments to min; returning Inf
+Warning in min(surv$time[inds[1 - surv$surv[inds] >= 0.5]]) :
+  no non-missing arguments to min; returning Inf
+Warning in min(surv$time[inds[1 - surv$surv[inds] >= 0.5]]) :
+  no non-missing arguments to min; returning Inf
+> 
+> # Now we will look at the same statistic using the conditional 
+> # bootstrap and the weird bootstrap.  For the conditional bootstrap 
+> # the survival distribution is stratified but the censoring 
+> # distribution is not. 
+> 
+> aml.s1 <- survfit(Surv(time, cens) ~ group, data = aml)
+> aml.s2 <- survfit(Surv(time-0.001*cens, 1-cens) ~ 1, data = aml)
+> aml.cond <- censboot(aml, aml.fun, R = 499, strata = aml$group,
++      F.surv = aml.s1, G.surv = aml.s2, sim = "cond")
+Warning in min(surv$time[inds[1 - surv$surv[inds] >= 0.5]]) :
+  no non-missing arguments to min; returning Inf
+Warning in min(surv$time[inds[1 - surv$surv[inds] >= 0.5]]) :
+  no non-missing arguments to min; returning Inf
+Warning in min(surv$time[inds[1 - surv$surv[inds] >= 0.5]]) :
+  no non-missing arguments to min; returning Inf
+Warning in min(surv$time[inds[1 - surv$surv[inds] >= 0.5]]) :
+  no non-missing arguments to min; returning Inf
+Warning in min(surv$time[inds[1 - surv$surv[inds] >= 0.5]]) :
+  no non-missing arguments to min; returning Inf
+Warning in min(surv$time[inds[1 - surv$surv[inds] >= 0.5]]) :
+  no non-missing arguments to min; returning Inf
+Warning in min(surv$time[inds[1 - surv$surv[inds] >= 0.5]]) :
+  no non-missing arguments to min; returning Inf
+Warning in min(surv$time[inds[1 - surv$surv[inds] >= 0.5]]) :
+  no non-missing arguments to min; returning Inf
+Warning in min(surv$time[inds[1 - surv$surv[inds] >= 0.5]]) :
+  no non-missing arguments to min; returning Inf
+Warning in min(surv$time[inds[1 - surv$surv[inds] >= 0.5]]) :
+  no non-missing arguments to min; returning Inf
+Warning in min(surv$time[inds[1 - surv$surv[inds] >= 0.5]]) :
+  no non-missing arguments to min; returning Inf
+Warning in min(surv$time[inds[1 - surv$surv[inds] >= 0.5]]) :
+  no non-missing arguments to min; returning Inf
+Warning in min(surv$time[inds[1 - surv$surv[inds] >= 0.5]]) :
+  no non-missing arguments to min; returning Inf
+Warning in min(surv$time[inds[1 - surv$surv[inds] >= 0.5]]) :
+  no non-missing arguments to min; returning Inf
+Warning in min(surv$time[inds[1 - surv$surv[inds] >= 0.5]]) :
+  no non-missing arguments to min; returning Inf
+Warning in min(surv$time[inds[1 - surv$surv[inds] >= 0.5]]) :
+  no non-missing arguments to min; returning Inf
+Warning in min(surv$time[inds[1 - surv$surv[inds] >= 0.5]]) :
+  no non-missing arguments to min; returning Inf
+Warning in min(surv$time[inds[1 - surv$surv[inds] >= 0.5]]) :
+  no non-missing arguments to min; returning Inf
+Warning in min(surv$time[inds[1 - surv$surv[inds] >= 0.5]]) :
+  no non-missing arguments to min; returning Inf
+> 
+> 
+> # For the weird bootstrap we must redefine our function slightly since
+> # the data will not contain the group number.
+> aml.fun1 <- function(data, str) {
++      surv <- survfit(Surv(data[, 1], data[, 2]) ~ str)
++      out <- NULL
++      st <- 1
++      for (s in 1:length(surv$strata)) {
++           inds <- st:(st + surv$strata[s] - 1)
++           md <- min(surv$time[inds[1-surv$surv[inds] >= 0.5]])
++           st <- st + surv$strata[s]
++           out <- c(out, md)
++      }
++      out
++ }
+> aml.wei <- censboot(cbind(aml$time, aml$cens), aml.fun1, R = 499,
++      strata = aml$group,  F.surv = aml.s1, sim = "weird")
+Warning in min(surv$time[inds[1 - surv$surv[inds] >= 0.5]]) :
+  no non-missing arguments to min; returning Inf
+Warning in min(surv$time[inds[1 - surv$surv[inds] >= 0.5]]) :
+  no non-missing arguments to min; returning Inf
+Warning in min(surv$time[inds[1 - surv$surv[inds] >= 0.5]]) :
+  no non-missing arguments to min; returning Inf
+Warning in min(surv$time[inds[1 - surv$surv[inds] >= 0.5]]) :
+  no non-missing arguments to min; returning Inf
+> 
+> # Now for an example where a cox regression model has been fitted
+> # the data we will look at the melanoma data of Example 7.6 from 
+> # Davison and Hinkley (1997).  The fitted model assumes that there
+> # is a different survival distribution for the ulcerated and 
+> # non-ulcerated groups but that the thickness of the tumour has a
+> # common effect.  We will also assume that the censoring distribution
+> # is different in different age groups.  The statistic of interest
+> # is the linear predictor.  This is returned as the values at a
+> # number of equally spaced points in the range of interest.
+> data(melanoma, package = "boot")
+> library(splines)# for ns
+> mel.cox <- coxph(Surv(time, status == 1) ~ ns(thickness, df=4) + strata(ulcer),
++                  data = melanoma)
+> mel.surv <- survfit(mel.cox)
+> agec <- cut(melanoma$age, c(0, 39, 49, 59, 69, 100))
+> mel.cens <- survfit(Surv(time - 0.001*(status == 1), status != 1) ~
++                     strata(agec), data = melanoma)
+> mel.fun <- function(d) { 
++      t1 <- ns(d$thickness, df=4)
++      cox <- coxph(Surv(d$time, d$status == 1) ~ t1+strata(d$ulcer))
++      ind <- !duplicated(d$thickness)
++      u <- d$thickness[!ind]
++      eta <- cox$linear.predictors[!ind]
++      sp <- smooth.spline(u, eta, df=20)
++      th <- seq(from = 0.25, to = 10, by = 0.25)
++      predict(sp, th)$y
++ }
+> mel.str <- cbind(melanoma$ulcer, agec)
+> 
+> # this is slow!
+> mel.mod <- censboot(melanoma, mel.fun, R = 499, F.surv = mel.surv,
++      G.surv = mel.cens, cox = mel.cox, strata = mel.str, sim = "model")
+> # To plot the original predictor and a 95% pointwise envelope for it
+> mel.env <- envelope(mel.mod)$point
+> th <- seq(0.25, 10, by = 0.25)
+> plot(th, mel.env[1, ],  ylim = c(-2, 2),
++      xlab = "thickness (mm)", ylab = "linear predictor", type = "n")
+> lines(th, mel.mod$t0, lty = 1)
+> matlines(th, t(mel.env), lty = 2)
+> 
+> 
+> 
+> cleanEx()
+
+detaching â€˜package:splinesâ€™, â€˜package:survivalâ€™
+
+> nameEx("control")
+> ### * control
+> 
+> flush(stderr()); flush(stdout())
+> 
+> ### Name: control
+> ### Title: Control Variate Calculations
+> ### Aliases: control
+> ### Keywords: nonparametric
+> 
+> ### ** Examples
+> 
+> # Use of control variates for the variance of the air-conditioning data
+> mean.fun <- function(d, i)
++ {    m <- mean(d$hours[i])
++      n <- nrow(d)
++      v <- (n-1)*var(d$hours[i])/n^2
++      c(m, v)
++ }
+> air.boot <- boot(aircondit, mean.fun, R = 999)
+> control(air.boot, index = 2, bias.adj = TRUE)
+[1] -11.25369
+> air.cont <- control(air.boot, index = 2)
+> # Now let us try the variance on the log scale.
+> air.cont1 <- control(air.boot, t0 = log(air.boot$t0[2]),
++                      t = log(air.boot$t[, 2]))
+> 
+> 
+> 
+> cleanEx()
+> nameEx("cv.glm")
+> ### * cv.glm
+> 
+> flush(stderr()); flush(stdout())
+> 
+> ### Name: cv.glm
+> ### Title: Cross-validation for Generalized Linear Models
+> ### Aliases: cv.glm
+> ### Keywords: regression
+> 
+> ### ** Examples
+> 
+> # leave-one-out and 6-fold cross-validation prediction error for 
+> # the mammals data set.
+> data(mammals, package="MASS")
+> mammals.glm <- glm(log(brain) ~ log(body), data = mammals)
+> (cv.err <- cv.glm(mammals, mammals.glm)$delta)
+[1] 0.4918650 0.4916571
+> (cv.err.6 <- cv.glm(mammals, mammals.glm, K = 6)$delta)
+[1] 0.4911574 0.4887828
+> 
+> # As this is a linear model we could calculate the leave-one-out 
+> # cross-validation estimate without any extra model-fitting.
+> muhat <- fitted(mammals.glm)
+> mammals.diag <- glm.diag(mammals.glm)
+> (cv.err <- mean((mammals.glm$y - muhat)^2/(1 - mammals.diag$h)^2))
+[1] 0.491865
+> 
+> 
+> # leave-one-out and 11-fold cross-validation prediction error for 
+> # the nodal data set.  Since the response is a binary variable an
+> # appropriate cost function is
+> cost <- function(r, pi = 0) mean(abs(r-pi) > 0.5)
+> 
+> nodal.glm <- glm(r ~ stage+xray+acid, binomial, data = nodal)
+> (cv.err <- cv.glm(nodal, nodal.glm, cost, K = nrow(nodal))$delta)
+[1] 0.1886792 0.1886792
+> (cv.11.err <- cv.glm(nodal, nodal.glm, cost, K = 11)$delta)
+[1] 0.2075472 0.2057672
+> 
+> 
+> 
+> cleanEx()
+> nameEx("empinf")
+> ### * empinf
+> 
+> flush(stderr()); flush(stdout())
+> 
+> ### Name: empinf
+> ### Title: Empirical Influence Values
+> ### Aliases: empinf
+> ### Keywords: nonparametric math
+> 
+> ### ** Examples
+> 
+> # The empirical influence values for the ratio of means in
+> # the city data.
+> ratio <- function(d, w) sum(d$x *w)/sum(d$u*w)
+> empinf(data = city, statistic = ratio)
+ [1] -1.04367815 -0.58417763 -0.37092459 -0.18958996  0.03164142  0.10544878
+ [7]  0.09236345  0.20365074  1.02178280  0.73381132
+> city.boot <- boot(city, ratio, 499, stype="w")
+> empinf(boot.out = city.boot, type = "reg")
+           1            1            1            1            1            1 
+-1.188052737 -0.702204565 -0.447209091 -0.378938644  0.007498044  0.162261064 
+           1            1            1            1 
+ 0.116272627  0.242543405  1.166357773  1.021472124 
+> 
+> # A statistic that may be of interest in the difference of means
+> # problem is the t-statistic for testing equality of means.  In
+> # the bootstrap we get replicates of the difference of means and
+> # the variance of that statistic and then want to use this output
+> # to get the empirical influence values of the t-statistic.
+> grav1 <- gravity[as.numeric(gravity[,2]) >= 7,]
+> grav.fun <- function(dat, w) {
++      strata <- tapply(dat[, 2], as.numeric(dat[, 2]))
++      d <- dat[, 1]
++      ns <- tabulate(strata)
++      w <- w/tapply(w, strata, sum)[strata]
++      mns <- as.vector(tapply(d * w, strata, sum)) # drop names
++      mn2 <- tapply(d * d * w, strata, sum)
++      s2hat <- sum((mn2 - mns^2)/ns)
++      c(mns[2] - mns[1], s2hat)
++ }
+> 
+> grav.boot <- boot(grav1, grav.fun, R = 499, stype = "w",
++                   strata = grav1[, 2])
+> 
+> # Since the statistic of interest is a function of the bootstrap
+> # statistics, we must calculate the bootstrap replicates and pass
+> # them to empinf using the t argument.
+> grav.z <- (grav.boot$t[,1]-grav.boot$t0[1])/sqrt(grav.boot$t[,2])
+> empinf(boot.out = grav.boot, t = grav.z)
+         1          1          1          1          1          1          1 
+-2.7187022 -0.9515832 -2.4507504 -1.3409041  0.6167772 -1.2768844 -1.3438236 
+         1          1          1          1          1          1          2 
+-0.2313133 -1.0504975 -3.1949223  1.2809344  3.7306567  8.9310126  2.7195701 
+         2          2          2          2          2          2          2 
+ 4.1111581  3.1632367  1.1507436 -2.2930450 -2.7667452 -2.3645554 -0.2002981 
+         2          2          2          2          2 
+ 2.0526618  0.3615873 -1.9421623 -2.1031282 -1.8890234 
+> 
+> 
+> 
+> cleanEx()
+> nameEx("envelope")
+> ### * envelope
+> 
+> flush(stderr()); flush(stdout())
+> 
+> ### Name: envelope
+> ### Title: Confidence Envelopes for Curves
+> ### Aliases: envelope
+> ### Keywords: dplot htest
+> 
+> ### ** Examples
+> 
+> # Testing whether the final series of measurements of the gravity data
+> # may come from a normal distribution.  This is done in Examples 4.7 
+> # and 4.8 of Davison and Hinkley (1997).
+> grav1 <- gravity$g[gravity$series == 8]
+> grav.z <- (grav1 - mean(grav1))/sqrt(var(grav1))
+> grav.gen <- function(dat, mle) rnorm(length(dat))
+> grav.qqboot <- boot(grav.z, sort, R = 999, sim = "parametric",
++                     ran.gen = grav.gen)
+> grav.qq <- qqnorm(grav.z, plot.it = FALSE)
+> grav.qq <- lapply(grav.qq, sort)
+> plot(grav.qq, ylim = c(-3.5, 3.5), ylab = "Studentized Order Statistics",
++      xlab = "Normal Quantiles")
+> grav.env <- envelope(grav.qqboot, level = 0.9)
+> lines(grav.qq$x, grav.env$point[1, ], lty = 4)
+> lines(grav.qq$x, grav.env$point[2, ], lty = 4)
+> lines(grav.qq$x, grav.env$overall[1, ], lty = 1)
+> lines(grav.qq$x, grav.env$overall[2, ], lty = 1)
+> 
+> 
+> 
+> cleanEx()
+> nameEx("exp.tilt")
+> ### * exp.tilt
+> 
+> flush(stderr()); flush(stdout())
+> 
+> ### Name: exp.tilt
+> ### Title: Exponential Tilting
+> ### Aliases: exp.tilt
+> ### Keywords: nonparametric smooth
+> 
+> ### ** Examples
+> 
+> # Example 9.8 of Davison and Hinkley (1997) requires tilting the resampling
+> # distribution of the studentized statistic to be centred at the observed
+> # value of the test statistic 1.84.  This can be achieved as follows.
+> grav1 <- gravity[as.numeric(gravity[,2]) >=7 , ]
+> grav.fun <- function(dat, w, orig) {
++      strata <- tapply(dat[, 2], as.numeric(dat[, 2]))
++      d <- dat[, 1]
++      ns <- tabulate(strata)
++      w <- w/tapply(w, strata, sum)[strata]
++      mns <- as.vector(tapply(d * w, strata, sum)) # drop names
++      mn2 <- tapply(d * d * w, strata, sum)
++      s2hat <- sum((mn2 - mns^2)/ns)
++      c(mns[2]-mns[1], s2hat, (mns[2]-mns[1]-orig)/sqrt(s2hat))
++ }
+> grav.z0 <- grav.fun(grav1, rep(1, 26), 0)
+> grav.L <- empinf(data = grav1, statistic = grav.fun, stype = "w", 
++                  strata = grav1[,2], index = 3, orig = grav.z0[1])
+> grav.tilt <- exp.tilt(grav.L, grav.z0[3], strata = grav1[,2])
+> boot(grav1, grav.fun, R = 499, stype = "w", weights = grav.tilt$p,
++      strata = grav1[,2], orig = grav.z0[1])
+
+STRATIFIED WEIGHTED BOOTSTRAP
+
+
+Call:
+boot(data = grav1, statistic = grav.fun, R = 499, stype = "w", 
+    strata = grav1[, 2], weights = grav.tilt$p, orig = grav.z0[1])
+
+
+Bootstrap Statistics :
+    original     bias    std. error  mean(t*)
+t1* 2.846154 -0.3661063    1.705171  5.702944
+t2* 2.392353 -0.3538294    1.002889  3.444050
+t3* 0.000000 -0.5160619    1.314298  1.473456
+> 
+> 
+> 
+> cleanEx()
+> nameEx("glm.diag.plots")
+> ### * glm.diag.plots
+> 
+> flush(stderr()); flush(stdout())
+> 
+> ### Name: glm.diag.plots
+> ### Title: Diagnostics plots for generalized linear models
+> ### Aliases: glm.diag.plots
+> ### Keywords: regression dplot hplot
+> 
+> ### ** Examples
+> 
+> # In this example we look at the leukaemia data which was looked at in 
+> # Example 7.1 of Davison and Hinkley (1997)
+> data(leuk, package = "MASS")
+> leuk.mod <- glm(time ~ ag-1+log10(wbc), family = Gamma(log), data = leuk)
+> leuk.diag <- glm.diag(leuk.mod)
+> glm.diag.plots(leuk.mod, leuk.diag)
+> 
+> 
+> 
+> cleanEx()
+> nameEx("jack.after.boot")
+> ### * jack.after.boot
+> 
+> flush(stderr()); flush(stdout())
+> 
+> ### Name: jack.after.boot
+> ### Title: Jackknife-after-Bootstrap Plots
+> ### Aliases: jack.after.boot
+> ### Keywords: hplot nonparametric
+> 
+> ### ** Examples
+> 
+> #  To draw the jackknife-after-bootstrap plot for the head size data as in
+> #  Example 3.24 of Davison and Hinkley (1997)
+> frets.fun <- function(data, i) {
++     pcorr <- function(x) { 
++     #  Function to find the correlations and partial correlations between
++     #  the four measurements.
++          v <- cor(x)
++          v.d <- diag(var(x))
++          iv <- solve(v)
++          iv.d <- sqrt(diag(iv))
++          iv <- - diag(1/iv.d) %*% iv %*% diag(1/iv.d)
++          q <- NULL
++          n <- nrow(v)
++          for (i in 1:(n-1)) 
++               q <- rbind( q, c(v[i, 1:i], iv[i,(i+1):n]) )
++          q <- rbind( q, v[n, ] )
++          diag(q) <- round(diag(q))
++          q
++     }
++     d <- data[i, ]
++     v <- pcorr(d)
++     c(v[1,], v[2,], v[3,], v[4,])
++ }
+> frets.boot <- boot(log(as.matrix(frets)), frets.fun, R = 999)
+> #  we will concentrate on the partial correlation between head breadth
+> #  for the first son and head length for the second.  This is the 7th
+> #  element in the output of frets.fun so we set index = 7
+> jack.after.boot(frets.boot, useJ = FALSE, stinf = FALSE, index = 7)
+> 
+> 
+> 
+> cleanEx()
+> nameEx("k3.linear")
+> ### * k3.linear
+> 
+> flush(stderr()); flush(stdout())
+> 
+> ### Name: k3.linear
+> ### Title: Linear Skewness Estimate
+> ### Aliases: k3.linear
+> ### Keywords: nonparametric
+> 
+> ### ** Examples
+> 
+> #  To estimate the skewness of the ratio of means for the city data.
+> ratio <- function(d, w) sum(d$x * w)/sum(d$u * w)
+> k3.linear(empinf(data = city, statistic = ratio))
+[1] 7.831452e-05
+> 
+> 
+> 
+> cleanEx()
+> nameEx("linear.approx")
+> ### * linear.approx
+> 
+> flush(stderr()); flush(stdout())
+> 
+> ### Name: linear.approx
+> ### Title: Linear Approximation of Bootstrap Replicates
+> ### Aliases: linear.approx
+> ### Keywords: nonparametric
+> 
+> ### ** Examples
+> 
+> # Using the city data let us look at the linear approximation to the 
+> # ratio statistic and its logarithm. We compare these with the 
+> # corresponding plots for the bigcity data 
+> 
+> ratio <- function(d, w) sum(d$x * w)/sum(d$u * w)
+> city.boot <- boot(city, ratio, R = 499, stype = "w")
+> bigcity.boot <- boot(bigcity, ratio, R = 499, stype = "w")
+> op <- par(pty = "s", mfrow = c(2, 2))
+> 
+> # The first plot is for the city data ratio statistic.
+> city.lin1 <- linear.approx(city.boot)
+> lim <- range(c(city.boot$t,city.lin1))
+> plot(city.boot$t, city.lin1, xlim = lim, ylim = lim, 
++      main = "Ratio; n=10", xlab = "t*", ylab = "tL*")
+> abline(0, 1)
+> 
+> # Now for the log of the ratio statistic for the city data.
+> city.lin2 <- linear.approx(city.boot,t0 = log(city.boot$t0), 
++                            t = log(city.boot$t))
+> lim <- range(c(log(city.boot$t),city.lin2))
+> plot(log(city.boot$t), city.lin2, xlim = lim, ylim = lim, 
++      main = "Log(Ratio); n=10", xlab = "t*", ylab = "tL*")
+> abline(0, 1)
+> 
+> # The ratio statistic for the bigcity data.
+> bigcity.lin1 <- linear.approx(bigcity.boot)
+> lim <- range(c(bigcity.boot$t,bigcity.lin1))
+> plot(bigcity.lin1, bigcity.boot$t, xlim = lim, ylim = lim,
++      main = "Ratio; n=49", xlab = "t*", ylab = "tL*")
+> abline(0, 1)
+> 
+> # Finally the log of the ratio statistic for the bigcity data.
+> bigcity.lin2 <- linear.approx(bigcity.boot,t0 = log(bigcity.boot$t0), 
++                               t = log(bigcity.boot$t))
+> lim <- range(c(log(bigcity.boot$t),bigcity.lin2))
+> plot(bigcity.lin2, log(bigcity.boot$t), xlim = lim, ylim = lim,
++      main = "Log(Ratio); n=49", xlab = "t*", ylab = "tL*")
+> abline(0, 1)
+> 
+> par(op)
+> 
+> 
+> 
+> graphics::par(get("par.postscript", pos = 'CheckExEnv'))
+> cleanEx()
+> nameEx("lines.saddle.distn")
+> ### * lines.saddle.distn
+> 
+> flush(stderr()); flush(stdout())
+> 
+> ### Name: lines.saddle.distn
+> ### Title: Add a Saddlepoint Approximation to a Plot
+> ### Aliases: lines.saddle.distn
+> ### Keywords: aplot smooth nonparametric
+> 
+> ### ** Examples
+> 
+> # In this example we show how a plot such as that in Figure 9.9 of
+> # Davison and Hinkley (1997) may be produced.  Note the large number of
+> # bootstrap replicates required in this example.
+> expdata <- rexp(12)
+> vfun <- function(d, i) {
++      n <- length(d)
++      (n-1)/n*var(d[i])
++ }
+> exp.boot <- boot(expdata,vfun, R = 9999)
+> exp.L <- (expdata - mean(expdata))^2 - exp.boot$t0
+> exp.tL <- linear.approx(exp.boot, L = exp.L)
+> hist(exp.tL, nclass = 50, probability = TRUE)
+> exp.t0 <- c(0, sqrt(var(exp.boot$t)))
+> exp.sp <- saddle.distn(A = exp.L/12,wdist = "m", t0 = exp.t0)
+> 
+> # The saddlepoint approximation in this case is to the density of
+> # t-t0 and so t0 must be added for the plot.
+> lines(exp.sp, h = function(u, t0) u+t0, J = function(u, t0) 1,
++       t0 = exp.boot$t0)
+> 
+> 
+> 
+> cleanEx()
+> nameEx("norm.ci")
+> ### * norm.ci
+> 
+> flush(stderr()); flush(stdout())
+> 
+> ### Name: norm.ci
+> ### Title: Normal Approximation Confidence Intervals
+> ### Aliases: norm.ci
+> ### Keywords: htest
+> 
+> ### ** Examples
+> 
+> #  In Example 5.1 of Davison and Hinkley (1997), normal approximation 
+> #  confidence intervals are found for the air-conditioning data.
+> air.mean <- mean(aircondit$hours)
+> air.n <- nrow(aircondit)
+> air.v <- air.mean^2/air.n
+> norm.ci(t0 = air.mean, var.t0 = air.v)
+     conf                  
+[1,] 0.95 46.93055 169.2361
+> exp(norm.ci(t0 = log(air.mean), var.t0 = 1/air.n)[2:3])
+[1]  61.38157 190.31782
+> 
+> # Now a more complicated example - the ratio estimate for the city data.
+> ratio <- function(d, w)
++      sum(d$x * w)/sum(d$u *w)
+> city.v <- var.linear(empinf(data = city, statistic = ratio))
+> norm.ci(t0 = ratio(city,rep(0.1,10)), var.t0 = city.v)
+     conf                  
+[1,] 0.95 1.167046 1.873579
+> 
+> 
+> 
+> cleanEx()
+> nameEx("plot.boot")
+> ### * plot.boot
+> 
+> flush(stderr()); flush(stdout())
+> 
+> ### Name: plot.boot
+> ### Title: Plots of the Output of a Bootstrap Simulation
+> ### Aliases: plot.boot
+> ### Keywords: hplot nonparametric
+> 
+> ### ** Examples
+> 
+> # We fit an exponential model to the air-conditioning data and use
+> # that for a parametric bootstrap.  Then we look at plots of the
+> # resampled means.
+> air.rg <- function(data, mle) rexp(length(data), 1/mle)
+> 
+> air.boot <- boot(aircondit$hours, mean, R = 999, sim = "parametric",
++                  ran.gen = air.rg, mle = mean(aircondit$hours))
+> plot(air.boot)
+> 
+> # In the difference of means example for the last two series of the 
+> # gravity data
+> grav1 <- gravity[as.numeric(gravity[, 2]) >= 7, ]
+> grav.fun <- function(dat, w) {
++      strata <- tapply(dat[, 2], as.numeric(dat[, 2]))
++      d <- dat[, 1]
++      ns <- tabulate(strata)
++      w <- w/tapply(w, strata, sum)[strata]
++      mns <- as.vector(tapply(d * w, strata, sum)) # drop names
++      mn2 <- tapply(d * d * w, strata, sum)
++      s2hat <- sum((mn2 - mns^2)/ns)
++      c(mns[2] - mns[1], s2hat)
++ }
+> 
+> grav.boot <- boot(grav1, grav.fun, R = 499, stype = "w", strata = grav1[, 2])
+> plot(grav.boot)
+> # now suppose we want to look at the studentized differences.
+> grav.z <- (grav.boot$t[, 1]-grav.boot$t0[1])/sqrt(grav.boot$t[, 2])
+> plot(grav.boot, t = grav.z, t0 = 0)
+> 
+> # In this example we look at the one of the partial correlations for the
+> # head dimensions in the dataset frets.
+> frets.fun <- function(data, i) {
++     pcorr <- function(x) { 
++     #  Function to find the correlations and partial correlations between
++     #  the four measurements.
++          v <- cor(x)
++          v.d <- diag(var(x))
++          iv <- solve(v)
++          iv.d <- sqrt(diag(iv))
++          iv <- - diag(1/iv.d) %*% iv %*% diag(1/iv.d)
++          q <- NULL
++          n <- nrow(v)
++          for (i in 1:(n-1)) 
++               q <- rbind( q, c(v[i, 1:i], iv[i,(i+1):n]) )
++          q <- rbind( q, v[n, ] )
++          diag(q) <- round(diag(q))
++          q
++     }
++     d <- data[i, ]
++     v <- pcorr(d)
++     c(v[1,], v[2,], v[3,], v[4,])
++ }
+> frets.boot <- boot(log(as.matrix(frets)),  frets.fun,  R = 999)
+> plot(frets.boot, index = 7, jack = TRUE, stinf = FALSE, useJ = FALSE)
+> 
+> 
+> 
+> cleanEx()
+> nameEx("saddle")
+> ### * saddle
+> 
+> flush(stderr()); flush(stdout())
+> 
+> ### Name: saddle
+> ### Title: Saddlepoint Approximations for Bootstrap Statistics
+> ### Aliases: saddle
+> ### Keywords: smooth nonparametric
+> 
+> ### ** Examples
+> 
+> # To evaluate the bootstrap distribution of the mean failure time of 
+> # air-conditioning equipment at 80 hours
+> saddle(A = aircondit$hours/12, u = 80)
+$spa
+       pdf        cdf 
+0.01005866 0.24446677 
+
+$zeta.hat
+[1] -0.02580078
+
+> 
+> # Alternatively this can be done using a conditional poisson
+> saddle(A = cbind(aircondit$hours/12,1), u = c(80, 12),
++        wdist = "p", type = "cond")
+Warning in dpois(y, mu, log = TRUE) : non-integer x = 10.090909
+Warning in dpois(y, mu, log = TRUE) : non-integer x = 1.909091
+Warning in dpois(y, mu, log = TRUE) : non-integer x = 10.090909
+Warning in dpois(y, mu, log = TRUE) : non-integer x = 1.909091
+$spa
+       pdf        cdf 
+0.01005943 0.24438736 
+
+$zeta.hat
+         A1          A2 
+-0.02580805  0.89261577 
+
+$zeta2.hat
+[1] 0.6931472
+
+> 
+> # To use the Lugananni-Rice approximation to this
+> saddle(A = cbind(aircondit$hours/12,1), u = c(80, 12),
++        wdist = "p", type = "cond", 
++        LR = TRUE)
+Warning in dpois(y, mu, log = TRUE) : non-integer x = 10.090909
+Warning in dpois(y, mu, log = TRUE) : non-integer x = 1.909091
+Warning in dpois(y, mu, log = TRUE) : non-integer x = 10.090909
+Warning in dpois(y, mu, log = TRUE) : non-integer x = 1.909091
+$spa
+       pdf        cdf 
+0.01005943 0.24447362 
+
+$zeta.hat
+         A1          A2 
+-0.02580805  0.89261577 
+
+$zeta2.hat
+[1] 0.6931472
+
+> 
+> # Example 9.16 of Davison and Hinkley (1997) calculates saddlepoint 
+> # approximations to the distribution of the ratio statistic for the
+> # city data. Since the statistic is not in itself a linear combination
+> # of random Variables, its distribution cannot be found directly.  
+> # Instead the statistic is expressed as the solution to a linear 
+> # estimating equation and hence its distribution can be found.  We
+> # get the saddlepoint approximation to the pdf and cdf evaluated at
+> # t = 1.25 as follows.
+> jacobian <- function(dat,t,zeta)
++ {
++      p <- exp(zeta*(dat$x-t*dat$u))
++      abs(sum(dat$u*p)/sum(p))
++ }
+> city.sp1 <- saddle(A = city$x-1.25*city$u, u = 0)
+> city.sp1$spa[1] <- jacobian(city, 1.25, city.sp1$zeta.hat) * city.sp1$spa[1]
+> city.sp1
+$spa
+       pdf        cdf 
+0.05565040 0.02436306 
+
+$zeta.hat
+[1] -0.02435547
+
+> 
+> 
+> 
+> cleanEx()
+> nameEx("saddle.distn")
+> ### * saddle.distn
+> 
+> flush(stderr()); flush(stdout())
+> 
+> ### Name: saddle.distn
+> ### Title: Saddlepoint Distribution Approximations for Bootstrap Statistics
+> ### Aliases: saddle.distn
+> ### Keywords: nonparametric smooth dplot
+> 
+> ### ** Examples
+> 
+> #  The bootstrap distribution of the mean of the air-conditioning 
+> #  failure data: fails to find value on R (and probably on S too)
+> air.t0 <- c(mean(aircondit$hours), sqrt(var(aircondit$hours)/12))
+> ## Not run: saddle.distn(A = aircondit$hours/12, t0 = air.t0)
+> 
+> # alternatively using the conditional poisson
+> saddle.distn(A = cbind(aircondit$hours/12, 1), u = 12, wdist = "p",
++              type = "cond", t0 = air.t0)
+Warning in dpois(y, mu, log = TRUE) : non-integer x = 11.344718
+Warning in dpois(y, mu, log = TRUE) : non-integer x = 0.655282
+Warning in dpois(y, mu, log = TRUE) : non-integer x = 11.344718
+Warning in dpois(y, mu, log = TRUE) : non-integer x = 0.655282
+Warning in dpois(y, mu, log = TRUE) : non-integer x = 11.832240
+Warning in dpois(y, mu, log = TRUE) : non-integer x = 0.167760
+Warning in dpois(y, mu, log = TRUE) : non-integer x = 11.832240
+Warning in dpois(y, mu, log = TRUE) : non-integer x = 0.167760
+Warning in dpois(y, mu, log = TRUE) : non-integer x = 7.444538
+Warning in dpois(y, mu, log = TRUE) : non-integer x = 4.555462
+Warning in dpois(y, mu, log = TRUE) : non-integer x = 7.444538
+Warning in dpois(y, mu, log = TRUE) : non-integer x = 4.555462
+Warning in dpois(y, mu, log = TRUE) : non-integer x = 5.494449
+Warning in dpois(y, mu, log = TRUE) : non-integer x = 6.505551
+Warning in dpois(y, mu, log = TRUE) : non-integer x = 5.494449
+Warning in dpois(y, mu, log = TRUE) : non-integer x = 6.505551
+Warning in dpois(y, mu, log = TRUE) : non-integer x = 1.594269
+Warning in dpois(y, mu, log = TRUE) : non-integer x = 10.405731
+Warning in dpois(y, mu, log = TRUE) : non-integer x = 1.594269
+Warning in dpois(y, mu, log = TRUE) : non-integer x = 10.405731
+Warning in dpois(y, mu, log = TRUE) : non-integer x = 3.544359
+Warning in dpois(y, mu, log = TRUE) : non-integer x = 8.455641
+Warning in dpois(y, mu, log = TRUE) : non-integer x = 3.544359
+Warning in dpois(y, mu, log = TRUE) : non-integer x = 8.455641
+Warning in dpois(y, mu, log = TRUE) : non-integer x = 4.519404
+Warning in dpois(y, mu, log = TRUE) : non-integer x = 7.480596
+Warning in dpois(y, mu, log = TRUE) : non-integer x = 4.519404
+Warning in dpois(y, mu, log = TRUE) : non-integer x = 7.480596
+Warning in dpois(y, mu, log = TRUE) : non-integer x = 11.561394
+Warning in dpois(y, mu, log = TRUE) : non-integer x = 0.438606
+Warning in dpois(y, mu, log = TRUE) : non-integer x = 11.561394
+Warning in dpois(y, mu, log = TRUE) : non-integer x = 0.438606
+Warning in dpois(y, mu, log = TRUE) : non-integer x = 11.290549
+Warning in dpois(y, mu, log = TRUE) : non-integer x = 0.709451
+Warning in dpois(y, mu, log = TRUE) : non-integer x = 11.290549
+Warning in dpois(y, mu, log = TRUE) : non-integer x = 0.709451
+Warning in dpois(y, mu, log = TRUE) : non-integer x = 11.019703
+Warning in dpois(y, mu, log = TRUE) : non-integer x = 0.980297
+Warning in dpois(y, mu, log = TRUE) : non-integer x = 11.019703
+Warning in dpois(y, mu, log = TRUE) : non-integer x = 0.980297
+Warning in dpois(y, mu, log = TRUE) : non-integer x = 10.748857
+Warning in dpois(y, mu, log = TRUE) : non-integer x = 1.251143
+Warning in dpois(y, mu, log = TRUE) : non-integer x = 10.748857
+Warning in dpois(y, mu, log = TRUE) : non-integer x = 1.251143
+Warning in dpois(y, mu, log = TRUE) : non-integer x = 10.478011
+Warning in dpois(y, mu, log = TRUE) : non-integer x = 1.521989
+Warning in dpois(y, mu, log = TRUE) : non-integer x = 10.478011
+Warning in dpois(y, mu, log = TRUE) : non-integer x = 1.521989
+Warning in dpois(y, mu, log = TRUE) : non-integer x = 10.207165
+Warning in dpois(y, mu, log = TRUE) : non-integer x = 1.792835
+Warning in dpois(y, mu, log = TRUE) : non-integer x = 10.207165
+Warning in dpois(y, mu, log = TRUE) : non-integer x = 1.792835
+Warning in dpois(y, mu, log = TRUE) : non-integer x = 9.936320
+Warning in dpois(y, mu, log = TRUE) : non-integer x = 2.063680
+Warning in dpois(y, mu, log = TRUE) : non-integer x = 9.936320
+Warning in dpois(y, mu, log = TRUE) : non-integer x = 2.063680
+Warning in dpois(y, mu, log = TRUE) : non-integer x = 9.665474
+Warning in dpois(y, mu, log = TRUE) : non-integer x = 2.334526
+Warning in dpois(y, mu, log = TRUE) : non-integer x = 9.665474
+Warning in dpois(y, mu, log = TRUE) : non-integer x = 2.334526
+Warning in dpois(y, mu, log = TRUE) : non-integer x = 8.785225
+Warning in dpois(y, mu, log = TRUE) : non-integer x = 3.214775
+Warning in dpois(y, mu, log = TRUE) : non-integer x = 8.785225
+Warning in dpois(y, mu, log = TRUE) : non-integer x = 3.214775
+Warning in dpois(y, mu, log = TRUE) : non-integer x = 8.175822
+Warning in dpois(y, mu, log = TRUE) : non-integer x = 3.824178
+Warning in dpois(y, mu, log = TRUE) : non-integer x = 8.175822
+Warning in dpois(y, mu, log = TRUE) : non-integer x = 3.824178
+Warning in dpois(y, mu, log = TRUE) : non-integer x = 7.566419
+Warning in dpois(y, mu, log = TRUE) : non-integer x = 4.433581
+Warning in dpois(y, mu, log = TRUE) : non-integer x = 7.566419
+Warning in dpois(y, mu, log = TRUE) : non-integer x = 4.433581
+Warning in dpois(y, mu, log = TRUE) : non-integer x = 6.957016
+Warning in dpois(y, mu, log = TRUE) : non-integer x = 5.042984
+Warning in dpois(y, mu, log = TRUE) : non-integer x = 6.957016
+Warning in dpois(y, mu, log = TRUE) : non-integer x = 5.042984
+Warning in dpois(y, mu, log = TRUE) : non-integer x = 6.347613
+Warning in dpois(y, mu, log = TRUE) : non-integer x = 5.652387
+Warning in dpois(y, mu, log = TRUE) : non-integer x = 6.347613
+Warning in dpois(y, mu, log = TRUE) : non-integer x = 5.652387
+Warning in dpois(y, mu, log = TRUE) : non-integer x = 5.738210
+Warning in dpois(y, mu, log = TRUE) : non-integer x = 6.261790
+Warning in dpois(y, mu, log = TRUE) : non-integer x = 5.738210
+Warning in dpois(y, mu, log = TRUE) : non-integer x = 6.261790
+Warning in dpois(y, mu, log = TRUE) : non-integer x = 5.128807
+Warning in dpois(y, mu, log = TRUE) : non-integer x = 6.871193
+Warning in dpois(y, mu, log = TRUE) : non-integer x = 5.128807
+Warning in dpois(y, mu, log = TRUE) : non-integer x = 6.871193
+
+Saddlepoint Distribution Approximations
+
+Call : 
+saddle.distn(A = cbind(aircondit$hours/12, 1), u = 12, wdist = "p", 
+    type = "cond", t0 = air.t0)
+
+Quantiles of the Distribution
+
+ 0.1%       27.4 
+ 0.5%       35.4 
+ 1.0%       39.7 
+ 2.5%       46.7 
+ 5.0%       53.5 
+10.0%       62.5 
+20.0%       75.3 
+50.0%      104.5 
+80.0%      139.0 
+90.0%      158.8 
+95.0%      175.9 
+97.5%      191.2 
+99.0%      209.6 
+99.5%      222.4 
+99.9%      249.5
+
+Smoothing spline used 20 points in the range 9.8 to 304.7.
+> 
+> # Distribution of the ratio of a sample of size 10 from the bigcity 
+> # data, taken from Example 9.16 of Davison and Hinkley (1997).
+> ratio <- function(d, w) sum(d$x *w)/sum(d$u * w)
+> city.v <- var.linear(empinf(data = city, statistic = ratio))
+> bigcity.t0 <- c(mean(bigcity$x)/mean(bigcity$u), sqrt(city.v))
+> Afn <- function(t, data) cbind(data$x - t*data$u, 1)
+> ufn <- function(t, data) c(0,10)
+> saddle.distn(A = Afn, u = ufn, wdist = "b", type = "cond",
++              t0 = bigcity.t0, data = bigcity)
+Warning in eval(family$initialize) :
+  non-integer counts in a binomial glm!
+Warning in eval(family$initialize) :
+  non-integer counts in a binomial glm!
+Warning in eval(family$initialize) :
+  non-integer counts in a binomial glm!
+Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred
+Warning in eval(family$initialize) :
+  non-integer counts in a binomial glm!
+Warning in eval(family$initialize) :
+  non-integer counts in a binomial glm!
+Warning in eval(family$initialize) :
+  non-integer counts in a binomial glm!
+Warning in eval(family$initialize) :
+  non-integer counts in a binomial glm!
+Warning in eval(family$initialize) :
+  non-integer counts in a binomial glm!
+Warning in eval(family$initialize) :
+  non-integer counts in a binomial glm!
+Warning in eval(family$initialize) :
+  non-integer counts in a binomial glm!
+Warning in eval(family$initialize) :
+  non-integer counts in a binomial glm!
+Warning in eval(family$initialize) :
+  non-integer counts in a binomial glm!
+Warning in eval(family$initialize) :
+  non-integer counts in a binomial glm!
+Warning in eval(family$initialize) :
+  non-integer counts in a binomial glm!
+Warning in eval(family$initialize) :
+  non-integer counts in a binomial glm!
+Warning in eval(family$initialize) :
+  non-integer counts in a binomial glm!
+Warning in eval(family$initialize) :
+  non-integer counts in a binomial glm!
+Warning in eval(family$initialize) :
+  non-integer counts in a binomial glm!
+Warning in eval(family$initialize) :
+  non-integer counts in a binomial glm!
+Warning in eval(family$initialize) :
+  non-integer counts in a binomial glm!
+Warning in eval(family$initialize) :
+  non-integer counts in a binomial glm!
+Warning in eval(family$initialize) :
+  non-integer counts in a binomial glm!
+Warning in eval(family$initialize) :
+  non-integer counts in a binomial glm!
+Warning in eval(family$initialize) :
+  non-integer counts in a binomial glm!
+Warning in eval(family$initialize) :
+  non-integer counts in a binomial glm!
+Warning in eval(family$initialize) :
+  non-integer counts in a binomial glm!
+Warning in eval(family$initialize) :
+  non-integer counts in a binomial glm!
+Warning in eval(family$initialize) :
+  non-integer counts in a binomial glm!
+Warning in eval(family$initialize) :
+  non-integer counts in a binomial glm!
+Warning in eval(family$initialize) :
+  non-integer counts in a binomial glm!
+Warning in eval(family$initialize) :
+  non-integer counts in a binomial glm!
+Warning in eval(family$initialize) :
+  non-integer counts in a binomial glm!
+Warning in eval(family$initialize) :
+  non-integer counts in a binomial glm!
+Warning in eval(family$initialize) :
+  non-integer counts in a binomial glm!
+Warning in eval(family$initialize) :
+  non-integer counts in a binomial glm!
+Warning in eval(family$initialize) :
+  non-integer counts in a binomial glm!
+Warning in eval(family$initialize) :
+  non-integer counts in a binomial glm!
+Warning in eval(family$initialize) :
+  non-integer counts in a binomial glm!
+Warning in eval(family$initialize) :
+  non-integer counts in a binomial glm!
+Warning in eval(family$initialize) :
+  non-integer counts in a binomial glm!
+
+Saddlepoint Distribution Approximations
+
+Call : 
+saddle.distn(A = Afn, u = ufn, wdist = "b", type = "cond", t0 = bigcity.t0, 
+    data = bigcity)
+
+Quantiles of the Distribution
+
+ 0.1%      1.070 
+ 0.5%      1.092 
+ 1.0%      1.104 
+ 2.5%      1.122 
+ 5.0%      1.139 
+10.0%      1.158 
+20.0%      1.184 
+50.0%      1.237 
+80.0%      1.304 
+90.0%      1.348 
+95.0%      1.392 
+97.5%      1.436 
+99.0%      1.494 
+99.5%      1.537 
+99.9%      1.636
+
+Smoothing spline used 20 points in the range 1.014 to 1.96.
+> 
+> # From Example 9.16 of Davison and Hinkley (1997) again, we find the 
+> # conditional distribution of the ratio given the sum of city$u.
+> Afn <- function(t, data) cbind(data$x-t*data$u, data$u, 1)
+> ufn <- function(t, data) c(0, sum(data$u), 10)
+> city.t0 <- c(mean(city$x)/mean(city$u), sqrt(city.v))
+> saddle.distn(A = Afn, u = ufn, wdist = "p", type = "cond", t0 = city.t0, 
++              data = city)
+Warning in dpois(y, mu, log = TRUE) : non-integer x = 0.866400
+Warning in dpois(y, mu, log = TRUE) : non-integer x = 8.511350
+Warning in dpois(y, mu, log = TRUE) : non-integer x = 0.622251
+Warning in dpois(y, mu, log = TRUE) : non-integer x = 0.866400
+Warning in dpois(y, mu, log = TRUE) : non-integer x = 8.511350
+Warning in dpois(y, mu, log = TRUE) : non-integer x = 0.622251
+Warning in dpois(y, mu, log = TRUE) : non-integer x = 3.210844
+Warning in dpois(y, mu, log = TRUE) : non-integer x = 3.107208
+Warning in dpois(y, mu, log = TRUE) : non-integer x = 3.681949
+Warning in dpois(y, mu, log = TRUE) : non-integer x = 3.210844
+Warning in dpois(y, mu, log = TRUE) : non-integer x = 3.107208
+Warning in dpois(y, mu, log = TRUE) : non-integer x = 3.681949
+Warning in dpois(y, mu, log = TRUE) : non-integer x = 2.038622
+Warning in dpois(y, mu, log = TRUE) : non-integer x = 5.809279
+Warning in dpois(y, mu, log = TRUE) : non-integer x = 2.152100
+Warning in dpois(y, mu, log = TRUE) : non-integer x = 2.038622
+Warning in dpois(y, mu, log = TRUE) : non-integer x = 5.809279
+Warning in dpois(y, mu, log = TRUE) : non-integer x = 2.152100
+Warning in dpois(y, mu, log = TRUE) : non-integer x = 1.452511
+Warning in dpois(y, mu, log = TRUE) : non-integer x = 7.160314
+Warning in dpois(y, mu, log = TRUE) : non-integer x = 1.387175
+Warning in dpois(y, mu, log = TRUE) : non-integer x = 1.452511
+Warning in dpois(y, mu, log = TRUE) : non-integer x = 7.160314
+Warning in dpois(y, mu, log = TRUE) : non-integer x = 1.387175
+Warning in dpois(y, mu, log = TRUE) : non-integer x = 1.159455
+Warning in dpois(y, mu, log = TRUE) : non-integer x = 7.835832
+Warning in dpois(y, mu, log = TRUE) : non-integer x = 1.004713
+Warning in dpois(y, mu, log = TRUE) : non-integer x = 1.159455
+Warning in dpois(y, mu, log = TRUE) : non-integer x = 7.835832
+Warning in dpois(y, mu, log = TRUE) : non-integer x = 1.004713
+Warning in dpois(y, mu, log = TRUE) : non-integer x = 3.155629
+Warning in dpois(y, mu, log = TRUE) : non-integer x = 0.115412
+Warning in dpois(y, mu, log = TRUE) : non-integer x = 6.728960
+Warning in dpois(y, mu, log = TRUE) : non-integer x = 3.155629
+Warning in dpois(y, mu, log = TRUE) : non-integer x = 0.115412
+Warning in dpois(y, mu, log = TRUE) : non-integer x = 6.728960
+Warning in dpois(y, mu, log = TRUE) : non-integer x = 0.205022
+Warning in dpois(y, mu, log = TRUE) : non-integer x = 2.133273
+Warning in dpois(y, mu, log = TRUE) : non-integer x = 7.661705
+Warning in dpois(y, mu, log = TRUE) : non-integer x = 0.205022
+Warning in dpois(y, mu, log = TRUE) : non-integer x = 2.133273
+Warning in dpois(y, mu, log = TRUE) : non-integer x = 7.661705
+Warning in dpois(y, mu, log = TRUE) : non-integer x = 1.722845
+Warning in dpois(y, mu, log = TRUE) : non-integer x = 1.033105
+Warning in dpois(y, mu, log = TRUE) : non-integer x = 7.244049
+Warning in dpois(y, mu, log = TRUE) : non-integer x = 1.722845
+Warning in dpois(y, mu, log = TRUE) : non-integer x = 1.033105
+Warning in dpois(y, mu, log = TRUE) : non-integer x = 7.244049
+Warning in dpois(y, mu, log = TRUE) : non-integer x = 1.787431
+Warning in dpois(y, mu, log = TRUE) : non-integer x = 6.388294
+Warning in dpois(y, mu, log = TRUE) : non-integer x = 1.824275
+Warning in dpois(y, mu, log = TRUE) : non-integer x = 1.787431
+Warning in dpois(y, mu, log = TRUE) : non-integer x = 6.388294
+Warning in dpois(y, mu, log = TRUE) : non-integer x = 1.824275
+Warning in dpois(y, mu, log = TRUE) : non-integer x = 2.415407
+Warning in dpois(y, mu, log = TRUE) : non-integer x = 4.940756
+Warning in dpois(y, mu, log = TRUE) : non-integer x = 2.643837
+Warning in dpois(y, mu, log = TRUE) : non-integer x = 2.415407
+Warning in dpois(y, mu, log = TRUE) : non-integer x = 4.940756
+Warning in dpois(y, mu, log = TRUE) : non-integer x = 2.643837
+Warning in dpois(y, mu, log = TRUE) : non-integer x = 3.043383
+Warning in dpois(y, mu, log = TRUE) : non-integer x = 3.493218
+Warning in dpois(y, mu, log = TRUE) : non-integer x = 3.463399
+Warning in dpois(y, mu, log = TRUE) : non-integer x = 3.043383
+Warning in dpois(y, mu, log = TRUE) : non-integer x = 3.493218
+Warning in dpois(y, mu, log = TRUE) : non-integer x = 3.463399
+Warning in dpois(y, mu, log = TRUE) : non-integer x = 3.671359
+Warning in dpois(y, mu, log = TRUE) : non-integer x = 2.045680
+Warning in dpois(y, mu, log = TRUE) : non-integer x = 4.282961
+Warning in dpois(y, mu, log = TRUE) : non-integer x = 3.671359
+Warning in dpois(y, mu, log = TRUE) : non-integer x = 2.045680
+Warning in dpois(y, mu, log = TRUE) : non-integer x = 4.282961
+Warning in dpois(y, mu, log = TRUE) : non-integer x = 4.299336
+Warning in dpois(y, mu, log = TRUE) : non-integer x = 0.598142
+Warning in dpois(y, mu, log = TRUE) : non-integer x = 5.102523
+Warning in dpois(y, mu, log = TRUE) : non-integer x = 4.299336
+Warning in dpois(y, mu, log = TRUE) : non-integer x = 0.598142
+Warning in dpois(y, mu, log = TRUE) : non-integer x = 5.102523
+Warning in dpois(y, mu, log = TRUE) : non-integer x = 3.433935
+Warning in dpois(y, mu, log = TRUE) : non-integer x = 4.409277
+Warning in dpois(y, mu, log = TRUE) : non-integer x = 2.156788
+Warning in dpois(y, mu, log = TRUE) : non-integer x = 3.433935
+Warning in dpois(y, mu, log = TRUE) : non-integer x = 4.409277
+Warning in dpois(y, mu, log = TRUE) : non-integer x = 2.156788
+Warning in dpois(y, mu, log = TRUE) : non-integer x = 3.360158
+Warning in dpois(y, mu, log = TRUE) : non-integer x = 3.271008
+Warning in dpois(y, mu, log = TRUE) : non-integer x = 3.368834
+Warning in dpois(y, mu, log = TRUE) : non-integer x = 3.360158
+Warning in dpois(y, mu, log = TRUE) : non-integer x = 3.271008
+Warning in dpois(y, mu, log = TRUE) : non-integer x = 3.368834
+Warning in dpois(y, mu, log = TRUE) : non-integer x = 3.319252
+Warning in dpois(y, mu, log = TRUE) : non-integer x = 2.639889
+Warning in dpois(y, mu, log = TRUE) : non-integer x = 4.040859
+Warning in dpois(y, mu, log = TRUE) : non-integer x = 3.319252
+Warning in dpois(y, mu, log = TRUE) : non-integer x = 2.639889
+Warning in dpois(y, mu, log = TRUE) : non-integer x = 4.040859
+Warning in dpois(y, mu, log = TRUE) : non-integer x = 3.278346
+Warning in dpois(y, mu, log = TRUE) : non-integer x = 2.008770
+Warning in dpois(y, mu, log = TRUE) : non-integer x = 4.712884
+Warning in dpois(y, mu, log = TRUE) : non-integer x = 3.278346
+Warning in dpois(y, mu, log = TRUE) : non-integer x = 2.008770
+Warning in dpois(y, mu, log = TRUE) : non-integer x = 4.712884
+Warning in dpois(y, mu, log = TRUE) : non-integer x = 3.237440
+Warning in dpois(y, mu, log = TRUE) : non-integer x = 1.377650
+Warning in dpois(y, mu, log = TRUE) : non-integer x = 5.384909
+Warning in dpois(y, mu, log = TRUE) : non-integer x = 3.237440
+Warning in dpois(y, mu, log = TRUE) : non-integer x = 1.377650
+Warning in dpois(y, mu, log = TRUE) : non-integer x = 5.384909
+Warning in dpois(y, mu, log = TRUE) : non-integer x = 3.196534
+Warning in dpois(y, mu, log = TRUE) : non-integer x = 0.746531
+Warning in dpois(y, mu, log = TRUE) : non-integer x = 6.056935
+Warning in dpois(y, mu, log = TRUE) : non-integer x = 3.196534
+Warning in dpois(y, mu, log = TRUE) : non-integer x = 0.746531
+Warning in dpois(y, mu, log = TRUE) : non-integer x = 6.056935
+Warning in dpois(y, mu, log = TRUE) : non-integer x = 3.155629
+Warning in dpois(y, mu, log = TRUE) : non-integer x = 0.115412
+Warning in dpois(y, mu, log = TRUE) : non-integer x = 6.728960
+Warning in dpois(y, mu, log = TRUE) : non-integer x = 3.155629
+Warning in dpois(y, mu, log = TRUE) : non-integer x = 0.115412
+Warning in dpois(y, mu, log = TRUE) : non-integer x = 6.728960
+Warning in dpois(y, mu, log = TRUE) : non-integer x = 2.734728
+Warning in dpois(y, mu, log = TRUE) : non-integer x = 0.299661
+Warning in dpois(y, mu, log = TRUE) : non-integer x = 6.965612
+Warning in dpois(y, mu, log = TRUE) : non-integer x = 2.734728
+Warning in dpois(y, mu, log = TRUE) : non-integer x = 0.299661
+Warning in dpois(y, mu, log = TRUE) : non-integer x = 6.965612
+Warning in dpois(y, mu, log = TRUE) : non-integer x = 2.228786
+Warning in dpois(y, mu, log = TRUE) : non-integer x = 0.666383
+Warning in dpois(y, mu, log = TRUE) : non-integer x = 7.104831
+Warning in dpois(y, mu, log = TRUE) : non-integer x = 2.228786
+Warning in dpois(y, mu, log = TRUE) : non-integer x = 0.666383
+Warning in dpois(y, mu, log = TRUE) : non-integer x = 7.104831
+
+Saddlepoint Distribution Approximations
+
+Call : 
+saddle.distn(A = Afn, u = ufn, wdist = "p", type = "cond", t0 = city.t0, 
+    data = city)
+
+Quantiles of the Distribution
+
+ 0.1%      1.216 
+ 0.5%      1.236 
+ 1.0%      1.248 
+ 2.5%      1.272 
+ 5.0%      1.301 
+10.0%      1.340 
+20.0%      1.393 
+50.0%      1.502 
+80.0%      1.618 
+90.0%      1.680 
+95.0%      1.732 
+97.5%      1.777 
+99.0%      1.830 
+99.5%      1.866 
+99.9%      1.938
+
+Smoothing spline used 20 points in the range 1.182 to 2.061.
+> 
+> 
+> 
+> cleanEx()
+> nameEx("simplex")
+> ### * simplex
+> 
+> flush(stderr()); flush(stdout())
+> 
+> ### Name: simplex
+> ### Title: Simplex Method for Linear Programming Problems
+> ### Aliases: simplex
+> ### Keywords: optimize
+> 
+> ### ** Examples
+> 
+> # This example is taken from Exercise 7.5 of Gill, Murray and Wright (1991).
+> enj <- c(200, 6000, 3000, -200)
+> fat <- c(800, 6000, 1000, 400)
+> vitx <- c(50, 3, 150, 100)
+> vity <- c(10, 10, 75, 100)
+> vitz <- c(150, 35, 75, 5)
+> simplex(a = enj, A1 = fat, b1 = 13800, A2 = rbind(vitx, vity, vitz),
++         b2 = c(600, 300, 550), maxi = TRUE)
+
+Linear Programming Results
+
+Call : simplex(a = enj, A1 = fat, b1 = 13800, A2 = rbind(vitx, vity, 
+    vitz), b2 = c(600, 300, 550), maxi = TRUE)
+
+Maximization Problem with Objective Function Coefficients
+  x1   x2   x3   x4 
+ 200 6000 3000 -200 
+
+
+Optimal solution has the following values
+  x1   x2   x3   x4 
+ 0.0  0.0 13.8  0.0 
+The optimal value of the objective  function is 41400.
+> 
+> 
+> 
+> cleanEx()
+> nameEx("smooth.f")
+> ### * smooth.f
+> 
+> flush(stderr()); flush(stdout())
+> 
+> ### Name: smooth.f
+> ### Title: Smooth Distributions on Data Points
+> ### Aliases: smooth.f
+> ### Keywords: smooth nonparametric
+> 
+> ### ** Examples
+> 
+> # Example 9.8 of Davison and Hinkley (1997) requires tilting the resampling
+> # distribution of the studentized statistic to be centred at the observed
+> # value of the test statistic 1.84.  In the book exponential tilting was used
+> # but it is also possible to use smooth.f.
+> grav1 <- gravity[as.numeric(gravity[, 2]) >= 7, ]
+> grav.fun <- function(dat, w, orig) {
++      strata <- tapply(dat[, 2], as.numeric(dat[, 2]))
++      d <- dat[, 1]
++      ns <- tabulate(strata)
++      w <- w/tapply(w, strata, sum)[strata]
++      mns <- as.vector(tapply(d * w, strata, sum)) # drop names
++      mn2 <- tapply(d * d * w, strata, sum)
++      s2hat <- sum((mn2 - mns^2)/ns)
++      c(mns[2] - mns[1], s2hat, (mns[2]-mns[1]-orig)/sqrt(s2hat))
++ }
+> grav.z0 <- grav.fun(grav1, rep(1, 26), 0)
+> grav.boot <- boot(grav1, grav.fun, R = 499, stype = "w", 
++                   strata = grav1[, 2], orig = grav.z0[1])
+> grav.sm <- smooth.f(grav.z0[3], grav.boot, index = 3)
+> 
+> # Now we can run another bootstrap using these weights
+> grav.boot2 <- boot(grav1, grav.fun, R = 499, stype = "w", 
++                    strata = grav1[, 2], orig = grav.z0[1],
++                    weights = grav.sm)
+> 
+> # Estimated p-values can be found from these as follows
+> mean(grav.boot$t[, 3] >= grav.z0[3])
+[1] 0.0240481
+> imp.prob(grav.boot2, t0 = -grav.z0[3], t = -grav.boot2$t[, 3])
+$t0
+[1] -1.840118
+
+$raw
+[1] 0.02254379
+
+$rat
+[1] 0.02409135
+
+$reg
+[1] 0.02224027
+
+> 
+> 
+> # Note that for the importance sampling probability we must 
+> # multiply everything by -1 to ensure that we find the correct
+> # probability.  Raw resampling is not reliable for probabilities
+> # greater than 0.5. Thus
+> 1 - imp.prob(grav.boot2, index = 3, t0 = grav.z0[3])$raw
+[1] 0.08678105
+> # can give very strange results (negative probabilities).
+> 
+> 
+> 
+> cleanEx()
+> nameEx("tilt.boot")
+> ### * tilt.boot
+> 
+> flush(stderr()); flush(stdout())
+> 
+> ### Name: tilt.boot
+> ### Title: Non-parametric Tilted Bootstrap
+> ### Aliases: tilt.boot
+> ### Keywords: nonparametric
+> 
+> ### ** Examples
+> 
+> # Note that these examples can take a while to run.
+> 
+> # Example 9.9 of Davison and Hinkley (1997).
+> grav1 <- gravity[as.numeric(gravity[,2]) >= 7, ]
+> grav.fun <- function(dat, w, orig) {
++      strata <- tapply(dat[, 2], as.numeric(dat[, 2]))
++      d <- dat[, 1]
++      ns <- tabulate(strata)
++      w <- w/tapply(w, strata, sum)[strata]
++      mns <- as.vector(tapply(d * w, strata, sum)) # drop names
++      mn2 <- tapply(d * d * w, strata, sum)
++      s2hat <- sum((mn2 - mns^2)/ns)
++      c(mns[2]-mns[1],s2hat,(mns[2]-mns[1]-orig)/sqrt(s2hat))
++ }
+> grav.z0 <- grav.fun(grav1, rep(1, 26), 0)
+> tilt.boot(grav1, grav.fun, R = c(249, 375, 375), stype = "w", 
++           strata = grav1[,2], tilt = TRUE, index = 3, orig = grav.z0[1]) 
+
+TILTED BOOTSTRAP
+
+Exponential tilting used
+First 249 replicates untilted,
+Next 375 replicates tilted to -2.648,
+Next 375 replicates tilted to 1.879.
+
+Call:
+tilt.boot(data = grav1, statistic = grav.fun, R = c(249, 375, 
+    375), stype = "w", strata = grav1[, 2], tilt = TRUE, index = 3, 
+    orig = grav.z0[1])
+
+
+Bootstrap Statistics :
+    original     bias    std. error
+t1* 2.846154 -0.2728113    2.513218
+t2* 2.392353 -0.2450416    1.187570
+t3* 0.000000 -0.7305799    2.152173
+> 
+> 
+> #  Example 9.10 of Davison and Hinkley (1997) requires a balanced 
+> #  importance resampling bootstrap to be run.  In this example we 
+> #  show how this might be run.  
+> acme.fun <- function(data, i, bhat) {
++      d <- data[i,]
++      n <- nrow(d)
++      d.lm <- glm(d$acme~d$market)
++      beta.b <- coef(d.lm)[2]
++      d.diag <- boot::glm.diag(d.lm)
++      SSx <- (n-1)*var(d$market)
++      tmp <- (d$market-mean(d$market))*d.diag$res*d.diag$sd
++      sr <- sqrt(sum(tmp^2))/SSx
++      c(beta.b, sr, (beta.b-bhat)/sr)
++ }
+> acme.b <- acme.fun(acme, 1:nrow(acme), 0)
+> acme.boot1 <- tilt.boot(acme, acme.fun, R = c(499, 250, 250), 
++                         stype = "i", sim = "balanced", alpha = c(0.05, 0.95), 
++                         tilt = TRUE, index = 3, bhat = acme.b[1])
+> 
+> 
+> 
+> cleanEx()
+> nameEx("tsboot")
+> ### * tsboot
+> 
+> flush(stderr()); flush(stdout())
+> 
+> ### Name: tsboot
+> ### Title: Bootstrapping of Time Series
+> ### Aliases: tsboot ts.return
+> ### Keywords: nonparametric ts
+> 
+> ### ** Examples
+> 
+> lynx.fun <- function(tsb) {
++      ar.fit <- ar(tsb, order.max = 25)
++      c(ar.fit$order, mean(tsb), tsb)
++ }
+> 
+> # the stationary bootstrap with mean block length 20
+> lynx.1 <- tsboot(log(lynx), lynx.fun, R = 99, l = 20, sim = "geom")
+> 
+> # the fixed block bootstrap with length 20
+> lynx.2 <- tsboot(log(lynx), lynx.fun, R = 99, l = 20, sim = "fixed")
+> 
+> # Now for model based resampling we need the original model
+> # Note that for all of the bootstraps which use the residuals as their
+> # data, we set orig.t to FALSE since the function applied to the residual
+> # time series will be meaningless.
+> lynx.ar <- ar(log(lynx))
+> lynx.model <- list(order = c(lynx.ar$order, 0, 0), ar = lynx.ar$ar)
+> lynx.res <- lynx.ar$resid[!is.na(lynx.ar$resid)]
+> lynx.res <- lynx.res - mean(lynx.res)
+> 
+> lynx.sim <- function(res,n.sim, ran.args) {
++      # random generation of replicate series using arima.sim 
++      rg1 <- function(n, res) sample(res, n, replace = TRUE)
++      ts.orig <- ran.args$ts
++      ts.mod <- ran.args$model
++      mean(ts.orig)+ts(arima.sim(model = ts.mod, n = n.sim,
++                       rand.gen = rg1, res = as.vector(res)))
++ }
+> 
+> lynx.3 <- tsboot(lynx.res, lynx.fun, R = 99, sim = "model", n.sim = 114,
++                  orig.t = FALSE, ran.gen = lynx.sim, 
++                  ran.args = list(ts = log(lynx), model = lynx.model))
+> 
+> #  For "post-blackening" we need to define another function
+> lynx.black <- function(res, n.sim, ran.args) {
++      ts.orig <- ran.args$ts
++      ts.mod <- ran.args$model
++      mean(ts.orig) + ts(arima.sim(model = ts.mod,n = n.sim,innov = res))
++ }
+> 
+> # Now we can run apply the two types of block resampling again but this
+> # time applying post-blackening.
+> lynx.1b <- tsboot(lynx.res, lynx.fun, R = 99, l = 20, sim = "fixed",
++                   n.sim = 114, orig.t = FALSE, ran.gen = lynx.black, 
++                   ran.args = list(ts = log(lynx), model = lynx.model))
+> 
+> lynx.2b <- tsboot(lynx.res, lynx.fun, R = 99, l = 20, sim = "geom",
++                   n.sim = 114, orig.t = FALSE, ran.gen = lynx.black, 
++                   ran.args = list(ts = log(lynx), model = lynx.model))
+> 
+> # To compare the observed order of the bootstrap replicates we
+> # proceed as follows.
+> table(lynx.1$t[, 1])
+
+ 2  3  4  5  6  7  8 10 11 13 14 
+16 21 41  4  3  5  3  1  3  1  1 
+> table(lynx.1b$t[, 1])
+
+ 2  3  4  5  6  7  9 10 11 12 13 15 16 
+ 2  5 24  3  2  8  2  3 38  8  2  1  1 
+> table(lynx.2$t[, 1])
+
+ 2  3  4  5  6  7  9 11 12 13 15 17 24 
+18 20 41  3  4  1  1  4  1  3  1  1  1 
+> table(lynx.2b$t[, 1])
+
+ 2  3  4  5  6  7  8 10 11 12 14 15 
+ 1  3 31  7  1  6  4  3 35  4  3  1 
+> table(lynx.3$t[, 1])
+
+ 2  3  4  5  6  7  8  9 10 11 12 13 14 16 
+ 4  2 11  1  3  6  3  2  2 50  7  6  1  1 
+> # Notice that the post-blackened and model-based bootstraps preserve
+> # the true order of the model (11) in many more cases than the others.
+> 
+> 
+> 
+> cleanEx()
+> nameEx("var.linear")
+> ### * var.linear
+> 
+> flush(stderr()); flush(stdout())
+> 
+> ### Name: var.linear
+> ### Title: Linear Variance Estimate
+> ### Aliases: var.linear
+> ### Keywords: nonparametric
+> 
+> ### ** Examples
+> 
+> #  To estimate the variance of the ratio of means for the city data.
+> ratio <- function(d,w) sum(d$x * w)/sum(d$u * w)
+> var.linear(empinf(data = city, statistic = ratio))
+[1] 0.03248701
+> 
+> 
+> 
+> ### * <FOOTER>
+> ###
+> cleanEx()
+> options(digits = 7L)
+> base::cat("Time elapsed: ", proc.time() - base::get("ptime", pos = 'CheckExEnv'),"\n")
+Time elapsed:  44.104 0.665 45.086 0 0 
+> grDevices::dev.off()
+null device 
+          1 
+> ###
+> ### Local variables: ***
+> ### mode: outline-minor ***
+> ### outline-regexp: "\\(> \\)?### [*]+" ***
+> ### End: ***
+> quit('no')
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/boot/html/R.css
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/boot/html/R.css	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/boot/html/R.css	(revision 3761)
@@ -0,0 +1,120 @@
+@media screen {
+    .container {
+	padding-right: 10px;
+	padding-left: 10px;
+	margin-right: auto;
+	margin-left: auto;
+	max-width: 900px;
+    }
+}
+
+.rimage img { /* from knitr - for examples and demos */
+    width: 96%;
+    margin-left: 2%;
+} 	
+
+.katex { font-size: 1.1em; }
+
+code {
+    color: inherit;
+    background: inherit;
+}
+
+body {
+    line-height: 1.4;
+    background: white;
+    color: black;
+}
+
+a:link {
+    background: white;
+    color: blue;
+}
+
+a:visited {
+    background: white;
+    color: rgb(50%, 0%, 50%);
+}
+
+h1 {
+    background: white;
+    color: rgb(55%, 55%, 55%);
+    font-family: monospace;
+    font-size: 1.4em; /* x-large; */
+    text-align: center;
+}
+
+h2 {
+    background: white;
+    color: rgb(40%, 40%, 40%);
+    font-family: monospace;
+    font-size: 1.2em; /* large; */
+    text-align: center;
+}
+
+h3 {
+    background: white;
+    color: rgb(40%, 40%, 40%);
+    font-family: monospace;
+    font-size: 1.2em; /* large; */
+}
+
+h4 {
+    background: white;
+    color: rgb(40%, 40%, 40%);
+    font-family: monospace;
+    font-style: italic;
+    font-size: 1.2em; /* large; */
+}
+
+h5 {
+    background: white;
+    color: rgb(40%, 40%, 40%);
+    font-family: monospace;
+}
+
+h6 {
+    background: white;
+    color: rgb(40%, 40%, 40%);
+    font-family: monospace;
+    font-style: italic;
+}
+
+img.toplogo {
+    width: 4em;
+    vertical-align: middle;
+}
+
+img.arrow {
+    width: 30px;
+    height: 30px;
+    border: 0;
+}
+
+span.acronym {
+    font-size: small;
+}
+
+span.env {
+    font-family: monospace;
+}
+
+span.file {
+    font-family: monospace;
+}
+
+span.option{
+    font-family: monospace;
+}
+
+span.pkg {
+    font-weight: bold;
+}
+
+span.samp{
+    font-family: monospace;
+}
+
+div.vignettes a:hover {
+    background: rgb(85%, 85%, 85%);
+}
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/boot/html/00Index.html
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/boot/html/00Index.html	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/boot/html/00Index.html	(revision 3761)
@@ -0,0 +1,223 @@
+<!DOCTYPE html>
+<html>
+<head><title>R: Bootstrap Functions (Originally by Angelo Canty for S)</title>
+<meta http-equiv="Content-Type" content="text/html; charset=utf-8" />
+<meta name="viewport" content="width=device-width, initial-scale=1.0, user-scalable=yes" />
+<link rel="stylesheet" type="text/css" href="R.css" />
+</head><body><div class="container">
+<h1> Bootstrap Functions (Originally by Angelo Canty for S)
+<img class="toplogo" src="../../../doc/html/Rlogo.svg" alt="[R logo]" />
+</h1>
+<hr/>
+<div style="text-align: center;">
+<a href="../../../doc/html/packages.html"><img class="arrow" src="../../../doc/html/left.jpg" alt="[Up]" /></a>
+<a href="../../../doc/html/index.html"><img class="arrow" src="../../../doc/html/up.jpg" alt="[Top]" /></a>
+</div><h2>Documentation for package &lsquo;boot&rsquo; version 1.3-28</h2>
+
+<ul><li><a href="../DESCRIPTION">DESCRIPTION file</a>.</li>
+</ul>
+
+<h2>Help Pages</h2>
+
+
+<table style="width: 100%;">
+<tr><td style="width: 25%;"><a href="abc.ci.html">abc.ci</a></td>
+<td>Nonparametric ABC Confidence Intervals</td></tr>
+<tr><td style="width: 25%;"><a href="acme.html">acme</a></td>
+<td>Monthly Excess Returns</td></tr>
+<tr><td style="width: 25%;"><a href="aids.html">aids</a></td>
+<td>Delay in AIDS Reporting in England and Wales</td></tr>
+<tr><td style="width: 25%;"><a href="aircondit.html">aircondit</a></td>
+<td>Failures of Air-conditioning Equipment</td></tr>
+<tr><td style="width: 25%;"><a href="aircondit.html">aircondit7</a></td>
+<td>Failures of Air-conditioning Equipment</td></tr>
+<tr><td style="width: 25%;"><a href="amis.html">amis</a></td>
+<td>Car Speeding and Warning Signs</td></tr>
+<tr><td style="width: 25%;"><a href="aml.html">aml</a></td>
+<td>Remission Times for Acute Myelogenous Leukaemia</td></tr>
+<tr><td style="width: 25%;"><a href="beaver.html">beaver</a></td>
+<td>Beaver Body Temperature Data</td></tr>
+<tr><td style="width: 25%;"><a href="bigcity.html">bigcity</a></td>
+<td>Population of U.S. Cities</td></tr>
+<tr><td style="width: 25%;"><a href="boot.html">boot</a></td>
+<td>Bootstrap Resampling</td></tr>
+<tr><td style="width: 25%;"><a href="boot.array.html">boot.array</a></td>
+<td>Bootstrap Resampling Arrays</td></tr>
+<tr><td style="width: 25%;"><a href="boot.ci.html">boot.ci</a></td>
+<td>Nonparametric Bootstrap Confidence Intervals</td></tr>
+<tr><td style="width: 25%;"><a href="boot.html">boot.return</a></td>
+<td>Bootstrap Resampling</td></tr>
+<tr><td style="width: 25%;"><a href="brambles.html">brambles</a></td>
+<td>Spatial Location of Bramble Canes</td></tr>
+<tr><td style="width: 25%;"><a href="breslow.html">breslow</a></td>
+<td>Smoking Deaths Among Doctors</td></tr>
+<tr><td style="width: 25%;"><a href="boot.html">c.boot</a></td>
+<td>Bootstrap Resampling</td></tr>
+<tr><td style="width: 25%;"><a href="calcium.html">calcium</a></td>
+<td>Calcium Uptake Data</td></tr>
+<tr><td style="width: 25%;"><a href="cane.html">cane</a></td>
+<td>Sugar-cane Disease Data</td></tr>
+<tr><td style="width: 25%;"><a href="capability.html">capability</a></td>
+<td>Simulated Manufacturing Process Data</td></tr>
+<tr><td style="width: 25%;"><a href="catsM.html">catsM</a></td>
+<td>Weight Data for Domestic Cats</td></tr>
+<tr><td style="width: 25%;"><a href="cav.html">cav</a></td>
+<td>Position of Muscle Caveolae</td></tr>
+<tr><td style="width: 25%;"><a href="cd4.html">cd4</a></td>
+<td>CD4 Counts for HIV-Positive Patients</td></tr>
+<tr><td style="width: 25%;"><a href="cd4.nested.html">cd4.nested</a></td>
+<td>Nested Bootstrap of cd4 data</td></tr>
+<tr><td style="width: 25%;"><a href="censboot.html">cens.return</a></td>
+<td>Bootstrap for Censored Data</td></tr>
+<tr><td style="width: 25%;"><a href="censboot.html">censboot</a></td>
+<td>Bootstrap for Censored Data</td></tr>
+<tr><td style="width: 25%;"><a href="channing.html">channing</a></td>
+<td>Channing House Data</td></tr>
+<tr><td style="width: 25%;"><a href="bigcity.html">city</a></td>
+<td>Population of U.S. Cities</td></tr>
+<tr><td style="width: 25%;"><a href="claridge.html">claridge</a></td>
+<td>Genetic Links to Left-handedness</td></tr>
+<tr><td style="width: 25%;"><a href="cloth.html">cloth</a></td>
+<td>Number of Flaws in Cloth</td></tr>
+<tr><td style="width: 25%;"><a href="co.transfer.html">co.transfer</a></td>
+<td>Carbon Monoxide Transfer</td></tr>
+<tr><td style="width: 25%;"><a href="coal.html">coal</a></td>
+<td>Dates of Coal Mining Disasters</td></tr>
+<tr><td style="width: 25%;"><a href="control.html">control</a></td>
+<td>Control Variate Calculations</td></tr>
+<tr><td style="width: 25%;"><a href="corr.html">corr</a></td>
+<td>Correlation Coefficient</td></tr>
+<tr><td style="width: 25%;"><a href="cum3.html">cum3</a></td>
+<td>Calculate Third Order Cumulants</td></tr>
+<tr><td style="width: 25%;"><a href="cv.glm.html">cv.glm</a></td>
+<td>Cross-validation for Generalized Linear Models</td></tr>
+<tr><td style="width: 25%;"><a href="darwin.html">darwin</a></td>
+<td>Darwin's Plant Height Differences</td></tr>
+<tr><td style="width: 25%;"><a href="dogs.html">dogs</a></td>
+<td>Cardiac Data for Domestic Dogs</td></tr>
+<tr><td style="width: 25%;"><a href="downs.bc.html">downs.bc</a></td>
+<td>Incidence of Down's Syndrome in British Columbia</td></tr>
+<tr><td style="width: 25%;"><a href="ducks.html">ducks</a></td>
+<td>Behavioral and Plumage Characteristics of Hybrid Ducks</td></tr>
+<tr><td style="width: 25%;"><a href="EEF.profile.html">EEF.profile</a></td>
+<td>Empirical Likelihoods</td></tr>
+<tr><td style="width: 25%;"><a href="EEF.profile.html">EL.profile</a></td>
+<td>Empirical Likelihoods</td></tr>
+<tr><td style="width: 25%;"><a href="empinf.html">empinf</a></td>
+<td>Empirical Influence Values</td></tr>
+<tr><td style="width: 25%;"><a href="envelope.html">envelope</a></td>
+<td>Confidence Envelopes for Curves</td></tr>
+<tr><td style="width: 25%;"><a href="exp.tilt.html">exp.tilt</a></td>
+<td>Exponential Tilting</td></tr>
+<tr><td style="width: 25%;"><a href="fir.html">fir</a></td>
+<td>Counts of Balsam-fir Seedlings</td></tr>
+<tr><td style="width: 25%;"><a href="freq.array.html">freq.array</a></td>
+<td>Bootstrap Frequency Arrays</td></tr>
+<tr><td style="width: 25%;"><a href="frets.html">frets</a></td>
+<td>Head Dimensions in Brothers</td></tr>
+<tr><td style="width: 25%;"><a href="glm.diag.html">glm.diag</a></td>
+<td>Generalized Linear Model Diagnostics</td></tr>
+<tr><td style="width: 25%;"><a href="glm.diag.plots.html">glm.diag.plots</a></td>
+<td>Diagnostics plots for generalized linear models</td></tr>
+<tr><td style="width: 25%;"><a href="gravity.html">grav</a></td>
+<td>Acceleration Due to Gravity</td></tr>
+<tr><td style="width: 25%;"><a href="gravity.html">gravity</a></td>
+<td>Acceleration Due to Gravity</td></tr>
+<tr><td style="width: 25%;"><a href="hirose.html">hirose</a></td>
+<td>Failure Time of PET Film</td></tr>
+<tr><td style="width: 25%;"><a href="Imp.Estimates.html">Imp.Estimates</a></td>
+<td>Importance Sampling Estimates</td></tr>
+<tr><td style="width: 25%;"><a href="Imp.Estimates.html">imp.moments</a></td>
+<td>Importance Sampling Estimates</td></tr>
+<tr><td style="width: 25%;"><a href="Imp.Estimates.html">imp.prob</a></td>
+<td>Importance Sampling Estimates</td></tr>
+<tr><td style="width: 25%;"><a href="Imp.Estimates.html">imp.quantile</a></td>
+<td>Importance Sampling Estimates</td></tr>
+<tr><td style="width: 25%;"><a href="Imp.Estimates.html">imp.reg</a></td>
+<td>Importance Sampling Estimates</td></tr>
+<tr><td style="width: 25%;"><a href="imp.weights.html">imp.weights</a></td>
+<td>Importance Sampling Weights</td></tr>
+<tr><td style="width: 25%;"><a href="inv.logit.html">inv.logit</a></td>
+<td>Inverse Logit Function</td></tr>
+<tr><td style="width: 25%;"><a href="islay.html">islay</a></td>
+<td>Jura Quartzite Azimuths on Islay</td></tr>
+<tr><td style="width: 25%;"><a href="jack.after.boot.html">jack.after.boot</a></td>
+<td>Jackknife-after-Bootstrap Plots</td></tr>
+<tr><td style="width: 25%;"><a href="k3.linear.html">k3.linear</a></td>
+<td>Linear Skewness Estimate</td></tr>
+<tr><td style="width: 25%;"><a href="linear.approx.html">linear.approx</a></td>
+<td>Linear Approximation of Bootstrap Replicates</td></tr>
+<tr><td style="width: 25%;"><a href="lines.saddle.distn.html">lines.saddle.distn</a></td>
+<td>Add a Saddlepoint Approximation to a Plot</td></tr>
+<tr><td style="width: 25%;"><a href="logit.html">logit</a></td>
+<td>Logit of Proportions</td></tr>
+<tr><td style="width: 25%;"><a href="manaus.html">manaus</a></td>
+<td>Average Heights of the Rio Negro river at Manaus</td></tr>
+<tr><td style="width: 25%;"><a href="melanoma.html">melanoma</a></td>
+<td>Survival from Malignant Melanoma</td></tr>
+<tr><td style="width: 25%;"><a href="motor.html">motor</a></td>
+<td>Data from a Simulated Motorcycle Accident</td></tr>
+<tr><td style="width: 25%;"><a href="neuro.html">neuro</a></td>
+<td>Neurophysiological Point Process Data</td></tr>
+<tr><td style="width: 25%;"><a href="nitrofen.html">nitrofen</a></td>
+<td>Toxicity of Nitrofen in Aquatic Systems</td></tr>
+<tr><td style="width: 25%;"><a href="nodal.html">nodal</a></td>
+<td>Nodal Involvement in Prostate Cancer</td></tr>
+<tr><td style="width: 25%;"><a href="norm.ci.html">norm.ci</a></td>
+<td>Normal Approximation Confidence Intervals</td></tr>
+<tr><td style="width: 25%;"><a href="nuclear.html">nuclear</a></td>
+<td>Nuclear Power Station Construction Data</td></tr>
+<tr><td style="width: 25%;"><a href="paulsen.html">paulsen</a></td>
+<td>Neurotransmission in Guinea Pig Brains</td></tr>
+<tr><td style="width: 25%;"><a href="plot.boot.html">plot.boot</a></td>
+<td>Plots of the Output of a Bootstrap Simulation</td></tr>
+<tr><td style="width: 25%;"><a href="poisons.html">poisons</a></td>
+<td>Animal Survival Times</td></tr>
+<tr><td style="width: 25%;"><a href="polar.html">polar</a></td>
+<td>Pole Positions of New Caledonian Laterites</td></tr>
+<tr><td style="width: 25%;"><a href="print.boot.html">print.boot</a></td>
+<td>Print a Summary of a Bootstrap Object</td></tr>
+<tr><td style="width: 25%;"><a href="print.bootci.html">print.bootci</a></td>
+<td>Print Bootstrap Confidence Intervals</td></tr>
+<tr><td style="width: 25%;"><a href="print.saddle.distn.html">print.saddle.distn</a></td>
+<td>Print Quantiles of Saddlepoint Approximations</td></tr>
+<tr><td style="width: 25%;"><a href="print.simplex.html">print.simplex</a></td>
+<td>Print Solution to Linear Programming Problem</td></tr>
+<tr><td style="width: 25%;"><a href="remission.html">remission</a></td>
+<td>Cancer Remission and Cell Activity</td></tr>
+<tr><td style="width: 25%;"><a href="saddle.html">saddle</a></td>
+<td>Saddlepoint Approximations for Bootstrap Statistics</td></tr>
+<tr><td style="width: 25%;"><a href="saddle.distn.html">saddle.distn</a></td>
+<td>Saddlepoint Distribution Approximations for Bootstrap Statistics</td></tr>
+<tr><td style="width: 25%;"><a href="saddle.distn.object.html">saddle.distn.object</a></td>
+<td>Saddlepoint Distribution Approximation Objects</td></tr>
+<tr><td style="width: 25%;"><a href="salinity.html">salinity</a></td>
+<td>Water Salinity and River Discharge</td></tr>
+<tr><td style="width: 25%;"><a href="simplex.html">simplex</a></td>
+<td>Simplex Method for Linear Programming Problems</td></tr>
+<tr><td style="width: 25%;"><a href="simplex.object.html">simplex.object</a></td>
+<td>Linear Programming Solution Objects</td></tr>
+<tr><td style="width: 25%;"><a href="smooth.f.html">smooth.f</a></td>
+<td>Smooth Distributions on Data Points</td></tr>
+<tr><td style="width: 25%;"><a href="sunspot.html">sunspot</a></td>
+<td>Annual Mean Sunspot Numbers</td></tr>
+<tr><td style="width: 25%;"><a href="survival.html">survival</a></td>
+<td>Survival of Rats after Radiation Doses</td></tr>
+<tr><td style="width: 25%;"><a href="tau.html">tau</a></td>
+<td>Tau Particle Decay Modes</td></tr>
+<tr><td style="width: 25%;"><a href="tilt.boot.html">tilt.boot</a></td>
+<td>Non-parametric Tilted Bootstrap</td></tr>
+<tr><td style="width: 25%;"><a href="tsboot.html">ts.return</a></td>
+<td>Bootstrapping of Time Series</td></tr>
+<tr><td style="width: 25%;"><a href="tsboot.html">tsboot</a></td>
+<td>Bootstrapping of Time Series</td></tr>
+<tr><td style="width: 25%;"><a href="tuna.html">tuna</a></td>
+<td>Tuna Sighting Data</td></tr>
+<tr><td style="width: 25%;"><a href="urine.html">urine</a></td>
+<td>Urine Analysis Data</td></tr>
+<tr><td style="width: 25%;"><a href="var.linear.html">var.linear</a></td>
+<td>Linear Variance Estimate</td></tr>
+<tr><td style="width: 25%;"><a href="wool.html">wool</a></td>
+<td>Australian Relative Wool Prices</td></tr>
+</table>
+</div></body></html>
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/diffobj/css/diffobj.css
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/diffobj/css/diffobj.css	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/diffobj/css/diffobj.css	(revision 3761)
@@ -0,0 +1,169 @@
+/* Structural CSS ------------------------------------------------------------*/
+/*
+ * TBD whether we want a more fully table like structure; some of the visual
+ * cues provided by the current set-up are useful (line wraps, etc.)
+ */
+
+DIV.diffobj-container PRE.diffobj-content {
+  white-space: pre-wrap;
+  margin: 0;
+}
+DIV.diffobj-container DIV.diffobj-row {
+  width: 100%;
+  font-family: monospace;
+  display: table;
+  table-layout: fixed;
+}
+DIV.diffobj-container DIV.diffobj-line {
+  width: auto;
+  display: table-cell;
+  overflow: hidden;
+}
+DIV.diffobj-container DIV.diffobj-line>DIV {
+  width: 100%;
+  display: table;
+  table-layout: auto;
+}
+DIV.diffobj-container DIV.diffobj-line.banner>DIV {
+  display: table;
+  table-layout: auto; /* set to fixed in JS */
+}
+DIV.diffobj-container DIV.diffobj-text {
+  display: table-cell;
+  width: 100%;
+}
+DIV.diffobj-container DIV.diffobj-gutter {
+  display: table-cell;
+  padding: 0 0.2em;
+}
+DIV.diffobj-container DIV.diffobj-gutter DIV {
+  display: table-cell;
+}
+#diffobj_content_meta DIV.diffobj-container DIV.diffobj-row {
+  width: auto;
+}
+#diffobj_banner_meta DIV.diffobj-container DIV.diffobj-line.banner>DIV {
+  table-layout: auto;
+}
+#diffobj_outer {
+  overflow: hidden;
+}
+/* Summary -------------------------------------------------------------------*/ 
+
+DIV.diffobj-container DIV.diffobj-summary DIV.map {
+  word-wrap: break-word;
+  padding-left: 1em;
+}
+DIV.diffobj-container DIV.diffobj-summary DIV.detail {
+  padding-left: 1em;
+}
+
+/* Common elements -----------------------------------------------------------*/
+
+DIV.diffobj-container DIV.diffobj-line.banner {
+  font-size: 1.2em;
+  font-weight: bold;
+  overflow: hidden;
+}
+/* truncate banners */
+DIV.diffobj-container DIV.diffobj-line.banner DIV.diffobj-text DIV{
+  white-space: nowrap;
+  overflow: hidden;
+  text-overflow: ellipsis;
+  width: 100%;             /* need to compute and set in JS */
+}
+DIV.diffobj-container DIV.diffobj-gutter,
+DIV.diffobj-container DIV.diffobj-guide,
+DIV.diffobj-container DIV.diffobj-fill,
+DIV.diffobj-container DIV.context_sep,
+DIV.diffobj-container SPAN.diffobj-trim {
+  color: #999;
+}
+DIV.diffobj-container DIV.diffobj-header {
+  font-size: 1.1em;
+}
+DIV.diffobj-container DIV.diffobj-text>DIV.diffobj-match,
+DIV.diffobj-container DIV.diffobj-text>DIV.diffobj-guide {
+  background-color: #ffffff;
+}
+DIV.diffobj-container DIV.diffobj-text>DIV.diffobj-fill {
+  background-color: transparent;
+}
+DIV.diffobj-container DIV.diffobj-text>DIV {
+  padding-right: 3px;
+}
+DIV.diffobj-container DIV.diffobj-text>DIV {
+  border-left: 1px solid #888888;
+}
+DIV.diffobj-container DIV.diffobj-line {
+  background-color: #eeeeee;
+}
+DIV.diffobj-container DIV.diffobj-text>DIV,
+DIV.diffobj-container DIV.diffobj-header {
+  padding-left: 0.5em;
+}
+DIV.diffobj-container DIV.diffobj-line>DIV.diffobj-match,
+DIV.diffobj-container DIV.diffobj-line>DIV.diffobj-fill,
+DIV.diffobj-container DIV.diffobj-line>DIV.diffobj-guide {
+  border-left: 1px solid #888888;
+}
+/* github inspired color scheme - default ------------------------------------*/
+
+DIV.diffobj-container.light.rgb SPAN.diffobj-word.insert,
+DIV.diffobj-container.light.rgb DIV.diffobj-line>DIV.insert {
+  background-color: #a6f3a6;
+}
+DIV.diffobj-container.light.rgb SPAN.diffobj-word.delete,
+DIV.diffobj-container.light.rgb DIV.diffobj-line>DIV.delete {
+  background-color: #f8c2c2;
+}
+DIV.diffobj-container.light.rgb DIV.diffobj-text>DIV.insert {
+  background-color: #efffef;
+}
+DIV.diffobj-container.light.rgb DIV.diffobj-text>DIV.insert,
+DIV.diffobj-container.light.rgb DIV.diffobj-line>DIV.insert {
+  border-left: 1px solid #33bb33;
+}
+DIV.diffobj-container.light.rgb DIV.diffobj-text>DIV.delete {
+  background-color: #ffefef;
+}
+DIV.diffobj-container.light.rgb DIV.diffobj-text>DIV.delete,
+DIV.diffobj-container.light.rgb DIV.diffobj-line>DIV.delete {
+  border-left: 1px solid #cc6666;
+}
+DIV.diffobj-container.light.rgb DIV.diffobj-header {
+  background-color: #e0e6fa;
+  border-left: 1px solid #9894b6;
+}
+/* Yellow Blue variation -----------------------------------------------------*/
+
+DIV.diffobj-container.light.yb SPAN.diffobj-word.insert,
+DIV.diffobj-container.light.yb DIV.diffobj-line>DIV.insert {
+  background-color: #c0cfff;
+}
+DIV.diffobj-container.light.yb SPAN.diffobj-word.delete,
+DIV.diffobj-container.light.yb DIV.diffobj-line>DIV.delete {
+  background-color: #e7e780;
+}
+DIV.diffobj-container.light.yb DIV.diffobj-text>DIV.insert {
+  background-color: #efefff;
+}
+DIV.diffobj-container.light.yb DIV.diffobj-text>DIV.insert,
+DIV.diffobj-container.light.yb DIV.diffobj-line>DIV.insert {
+  border-left: 1px solid #3333bb;
+}
+DIV.diffobj-container.light.yb DIV.diffobj-text>DIV.delete {
+  background-color: #fefee5;
+}
+DIV.diffobj-container.light.yb DIV.diffobj-text>DIV.delete,
+DIV.diffobj-container.light.yb DIV.diffobj-line>DIV.delete {
+  border-left: 1px solid #aaaa55;
+}
+DIV.diffobj-container.light.yb DIV.diffobj-header {
+  background-color: #afafaf;
+  border-left: 1px solid #e3e3e3;
+  color: #e9e9e9;
+}
+DIV.diffobj-container.light.yb DIV.diffobj-line {
+  background-color: #eeeeee;
+}
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/diffobj/help/diffobj.rdx
===================================================================
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Property changes on: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/diffobj/help/diffobj.rdx
___________________________________________________________________
Added: svn:mime-type
   + application/octet-stream

Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/diffobj/help/AnIndex
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/diffobj/help/AnIndex	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/diffobj/help/AnIndex	(revision 3761)
@@ -0,0 +1,140 @@
+diffobj-package	diffobj-package
+AlignThreshold	AlignThreshold-class
+AlignThreshold-class	AlignThreshold-class
+any,Diff-method	any-Diff-method
+as.character,Diff-method	diffobj_s4method_doc
+as.character,DiffSummary-method	as.character-DiffSummary-method
+as.character,MyersMbaSes-method	as.character-MyersMbaSes-method
+auto_context	auto_context
+console_lines	console_lines
+cont_f	tag_f
+Diff-class	Diff-class
+diffChr	diffChr
+diffChr,ANY-method	diffChr
+diffCsv	diffCsv
+diffCsv,ANY-method	diffCsv
+diffDeparse	diffDeparse
+diffDeparse,ANY-method	diffDeparse
+diffFile	diffFile
+diffFile,ANY-method	diffFile
+diffObj	diffObj
+diffobj_css	webfiles
+diffobj_js	webfiles
+diffobj_s4method_doc	diffobj_s4method_doc
+diffobj_set_def_opts	diffobj_set_def_opts
+diffPrint	diffPrint
+diffPrint,ANY-method	diffPrint
+diffStr	diffStr
+diffStr,ANY-method	diffStr
+diff_myers	diff_myers
+dimnames,PaletteOfStyles-method	dimnames-PaletteOfStyles-method
+div_f	tag_f
+div_f,	tag_f
+finalizeHtml	finalizeHtml
+finalizeHtml,ANY-method	finalizeHtml
+finalizeHtml,Diff-method	finalizeHtml
+finalizeHtml,DiffSummary-method	finalizeHtml
+gdo	gdo
+guides	guides
+guidesChr	guides
+guidesChr,	guides
+guidesChr,ANY,character-method	guides
+guidesDeparse	guides
+guidesDeparse,ANY,character-method	guides
+guidesFile	guides
+guidesFile,ANY,character-method	guides
+guidesPrint	guides
+guidesPrint,	guides
+guidesPrint,ANY,character-method	guides
+guidesStr	guides
+guidesStr,	guides
+guidesStr,ANY,character-method	guides
+has_Rdiff	has_Rdiff
+head,Diff-method	extract-Diff-method
+make_blocking	make_blocking
+nchar_html	nchar_html
+Pager	Pager
+PagerBrowser	Pager
+PagerOff	Pager
+PagerOff,	Pager
+PagerOff-class	Pager
+PagerSystem	Pager
+PagerSystem,	Pager
+PagerSystem-class	Pager
+PagerSystemLess	Pager
+PagerSystemLess,	Pager
+PagerSystemLess-class	Pager
+pager_is_less	pager_is_less
+PaletteOfStyles	PaletteOfStyles-class
+PaletteOfStyles-class	PaletteOfStyles-class
+par_frame	par_frame
+Rdiff_chr	Rdiff_chr
+Rdiff_obj	Rdiff_chr
+ses	ses
+ses_dat	ses
+show,DiffSummary-method	show-DiffSummary-method
+show,MyersMbaSes-method	diffobj_s4method_doc
+show,PaletteOfStyles-method	show-PaletteOfStyles-method
+show,Style-method	show-Style-method
+show,StyleHtml-method	show-Style-method
+span_f	tag_f
+span_f,	tag_f
+strip_hz_control	strip_hz_control
+Style	Style
+Style-class	Style
+StyleAnsi	Style
+StyleAnsi-class	Style
+StyleAnsi256DarkRgb	Style
+StyleAnsi256DarkRgb-class	Style
+StyleAnsi256DarkYb	Style
+StyleAnsi256DarkYb-class	Style
+StyleAnsi256LightRgb	Style
+StyleAnsi256LightRgb-class	Style
+StyleAnsi256LightYb	Style
+StyleAnsi256LightYb-class	Style
+StyleAnsi8NeutralRgb	Style
+StyleAnsi8NeutralRgb-class	Style
+StyleAnsi8NeutralYb	Style
+StyleAnsi8NeutralYb-class	Style
+StyleFuns	StyleFuns
+StyleFuns-class	StyleFuns
+StyleHtml	Style
+StyleHtml-class	Style
+StyleHtmlLightRgb	Style
+StyleHtmlLightRgb-class	Style
+StyleHtmlLightYb	Style
+StyleHtmlLightYb-class	Style
+StyleRaw	Style
+StyleRaw-class	Style
+StyleSummary	StyleSummary
+StyleSummary-class	StyleSummary
+StyleSummaryHtml	StyleSummary
+StyleSummaryHtml-class	StyleSummary
+StyleText	StyleText
+StyleText-class	StyleText
+summary,Diff-method	summary-Diff-method
+summary,MyersMbaSes-method	summary-MyersMbaSes-method
+summary,PaletteOfStyles-method	summary-PaletteOfStyles-method
+tag_f	tag_f
+tail,Diff-method	extract-Diff-method
+trim	trim
+trimChr	trim
+trimChr,	trim
+trimChr,ANY,character-method	trim
+trimDeparse	trim
+trimDeparse,	trim
+trimDeparse,ANY,character-method	trim
+trimFile	trim
+trimFile,ANY,character-method	trim
+trimPrint	trim
+trimPrint,	trim
+trimPrint,ANY,character-method	trim
+trimStr	trim
+trimStr,	trim
+trimStr,ANY,character-method	trim
+view_or_browse	view_or_browse
+webfiles	webfiles
+[,Diff,numeric,missing,missing-method	extract-Diff-method
+[,PaletteOfStyles,ANY,ANY,ANY-method	Extract_PaletteOfStyles
+[<-,PaletteOfStyles-method	Extract_PaletteOfStyles
+[[,PaletteOfStyles-method	Extract_PaletteOfStyles
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/diffobj/help/paths.rds
===================================================================
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Property changes on: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/diffobj/help/paths.rds
___________________________________________________________________
Added: svn:mime-type
   + application/octet-stream

Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/diffobj/help/aliases.rds
===================================================================
Cannot display: file marked as a binary type.
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Property changes on: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/diffobj/help/aliases.rds
___________________________________________________________________
Added: svn:mime-type
   + application/octet-stream

Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/diffobj/help/diffobj.rdb
===================================================================
Cannot display: file marked as a binary type.
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Property changes on: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/diffobj/help/diffobj.rdb
___________________________________________________________________
Added: svn:mime-type
   + application/octet-stream

Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/diffobj/libs/x64/diffobj.dll
===================================================================
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Property changes on: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/diffobj/libs/x64/diffobj.dll
___________________________________________________________________
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   + application/octet-stream

Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/diffobj/libs/x64/symbols.rds
===================================================================
Cannot display: file marked as a binary type.
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Property changes on: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/diffobj/libs/x64/symbols.rds
___________________________________________________________________
Added: svn:mime-type
   + application/octet-stream

Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/diffobj/R/diffobj.rdx
===================================================================
Cannot display: file marked as a binary type.
svn:mime-type = application/octet-stream

Property changes on: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/diffobj/R/diffobj.rdx
___________________________________________________________________
Added: svn:mime-type
   + application/octet-stream

Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/diffobj/R/diffobj
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/diffobj/R/diffobj	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/diffobj/R/diffobj	(revision 3761)
@@ -0,0 +1,27 @@
+#  File share/R/nspackloader.R
+#  Part of the R package, https://www.R-project.org
+#
+#  Copyright (C) 1995-2012 The R Core Team
+#
+#  This program is free software; you can redistribute it and/or modify
+#  it under the terms of the GNU General Public License as published by
+#  the Free Software Foundation; either version 2 of the License, or
+#  (at your option) any later version.
+#
+#  This program is distributed in the hope that it will be useful,
+#  but WITHOUT ANY WARRANTY; without even the implied warranty of
+#  MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
+#  GNU General Public License for more details.
+#
+#  A copy of the GNU General Public License is available at
+#  https://www.r-project.org/Licenses/
+
+local({
+    info <- loadingNamespaceInfo()
+    pkg <- info$pkgname
+    ns <- .getNamespace(as.name(pkg))
+    if (is.null(ns))
+        stop("cannot find namespace environment for ", pkg, domain = NA);
+    dbbase <- file.path(info$libname, pkg, "R", pkg)
+    lazyLoad(dbbase, ns, filter = function(n) n != ".__NAMESPACE__.")
+})
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/diffobj/R/diffobj.rdb
===================================================================
Cannot display: file marked as a binary type.
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Property changes on: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/diffobj/R/diffobj.rdb
___________________________________________________________________
Added: svn:mime-type
   + application/octet-stream

Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/diffobj/html/R.css
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/diffobj/html/R.css	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/diffobj/html/R.css	(revision 3761)
@@ -0,0 +1,120 @@
+@media screen {
+    .container {
+	padding-right: 10px;
+	padding-left: 10px;
+	margin-right: auto;
+	margin-left: auto;
+	max-width: 900px;
+    }
+}
+
+.rimage img { /* from knitr - for examples and demos */
+    width: 96%;
+    margin-left: 2%;
+} 	
+
+.katex { font-size: 1.1em; }
+
+code {
+    color: inherit;
+    background: inherit;
+}
+
+body {
+    line-height: 1.4;
+    background: white;
+    color: black;
+}
+
+a:link {
+    background: white;
+    color: blue;
+}
+
+a:visited {
+    background: white;
+    color: rgb(50%, 0%, 50%);
+}
+
+h1 {
+    background: white;
+    color: rgb(55%, 55%, 55%);
+    font-family: monospace;
+    font-size: 1.4em; /* x-large; */
+    text-align: center;
+}
+
+h2 {
+    background: white;
+    color: rgb(40%, 40%, 40%);
+    font-family: monospace;
+    font-size: 1.2em; /* large; */
+    text-align: center;
+}
+
+h3 {
+    background: white;
+    color: rgb(40%, 40%, 40%);
+    font-family: monospace;
+    font-size: 1.2em; /* large; */
+}
+
+h4 {
+    background: white;
+    color: rgb(40%, 40%, 40%);
+    font-family: monospace;
+    font-style: italic;
+    font-size: 1.2em; /* large; */
+}
+
+h5 {
+    background: white;
+    color: rgb(40%, 40%, 40%);
+    font-family: monospace;
+}
+
+h6 {
+    background: white;
+    color: rgb(40%, 40%, 40%);
+    font-family: monospace;
+    font-style: italic;
+}
+
+img.toplogo {
+    width: 4em;
+    vertical-align: middle;
+}
+
+img.arrow {
+    width: 30px;
+    height: 30px;
+    border: 0;
+}
+
+span.acronym {
+    font-size: small;
+}
+
+span.env {
+    font-family: monospace;
+}
+
+span.file {
+    font-family: monospace;
+}
+
+span.option{
+    font-family: monospace;
+}
+
+span.pkg {
+    font-weight: bold;
+}
+
+span.samp{
+    font-family: monospace;
+}
+
+div.vignettes a:hover {
+    background: rgb(85%, 85%, 85%);
+}
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/diffobj/html/00Index.html
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/diffobj/html/00Index.html	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/diffobj/html/00Index.html	(revision 3761)
@@ -0,0 +1,380 @@
+<!DOCTYPE html>
+<html>
+<head><title>R: Diffs for R Objects</title>
+<meta http-equiv="Content-Type" content="text/html; charset=utf-8" />
+<meta name="viewport" content="width=device-width, initial-scale=1.0, user-scalable=yes" />
+<link rel="stylesheet" type="text/css" href="R.css" />
+</head><body><div class="container">
+<h1> Diffs for R Objects
+<img class="toplogo" src="../../../doc/html/Rlogo.svg" alt="[R logo]" />
+</h1>
+<hr/>
+<div style="text-align: center;">
+<a href="../../../doc/html/packages.html"><img class="arrow" src="../../../doc/html/left.jpg" alt="[Up]" /></a>
+<a href="../../../doc/html/index.html"><img class="arrow" src="../../../doc/html/up.jpg" alt="[Top]" /></a>
+</div><h2>Documentation for package &lsquo;diffobj&rsquo; version 0.3.5</h2>
+
+<ul><li><a href="../DESCRIPTION">DESCRIPTION file</a>.</li>
+<li><a href="../doc/index.html">User guides, package vignettes and other documentation.</a></li>
+</ul>
+
+<h2>Help Pages</h2>
+
+
+<p style="text-align: center;">
+<a href="# "> </a>
+<a href="#A">A</a>
+<a href="#C">C</a>
+<a href="#D">D</a>
+<a href="#F">F</a>
+<a href="#G">G</a>
+<a href="#H">H</a>
+<a href="#M">M</a>
+<a href="#N">N</a>
+<a href="#P">P</a>
+<a href="#R">R</a>
+<a href="#S">S</a>
+<a href="#T">T</a>
+<a href="#V">V</a>
+<a href="#W">W</a>
+<a href="#misc">misc</a>
+</p>
+
+<table style="width: 100%;">
+<tr><td style="width: 25%;"><a href="diffobj-package.html">diffobj-package</a></td>
+<td>Diffs for R Objects</td></tr>
+</table>
+
+<h2><a id="A">-- A --</a></h2>
+
+<table style="width: 100%;">
+<tr><td style="width: 25%;"><a href="AlignThreshold-class.html">AlignThreshold</a></td>
+<td>Controls How Lines Within a Diff Hunk Are Aligned</td></tr>
+<tr><td style="width: 25%;"><a href="AlignThreshold-class.html">AlignThreshold-class</a></td>
+<td>Controls How Lines Within a Diff Hunk Are Aligned</td></tr>
+<tr><td style="width: 25%;"><a href="any-Diff-method.html">any-method</a></td>
+<td>Determine if Diff Object Has Differences</td></tr>
+<tr><td style="width: 25%;"><a href="as.character-DiffSummary-method.html">as.character-method</a></td>
+<td>Generate Character Representation of DiffSummary Object</td></tr>
+<tr><td style="width: 25%;"><a href="auto_context.html">auto_context</a></td>
+<td>Configure Automatic Context Calculation</td></tr>
+</table>
+
+<h2><a id="C">-- C --</a></h2>
+
+<table style="width: 100%;">
+<tr><td style="width: 25%;"><a href="console_lines.html">console_lines</a></td>
+<td>Attempt to Compute Console Height in Text Lines</td></tr>
+<tr><td style="width: 25%;"><a href="tag_f.html">cont_f</a></td>
+<td>Make Functions That Wrap Text in HTML Tags</td></tr>
+</table>
+
+<h2><a id="D">-- D --</a></h2>
+
+<table style="width: 100%;">
+<tr><td style="width: 25%;"><a href="Diff-class.html">Diff-class</a></td>
+<td>Diff Result Object</td></tr>
+<tr><td style="width: 25%;"><a href="diffChr.html">diffChr</a></td>
+<td>Diff Character Vectors Element By Element</td></tr>
+<tr><td style="width: 25%;"><a href="diffChr.html">diffChr-method</a></td>
+<td>Diff Character Vectors Element By Element</td></tr>
+<tr><td style="width: 25%;"><a href="diffCsv.html">diffCsv</a></td>
+<td>Diff CSV Files</td></tr>
+<tr><td style="width: 25%;"><a href="diffCsv.html">diffCsv-method</a></td>
+<td>Diff CSV Files</td></tr>
+<tr><td style="width: 25%;"><a href="diffDeparse.html">diffDeparse</a></td>
+<td>Diff Deparsed Objects</td></tr>
+<tr><td style="width: 25%;"><a href="diffDeparse.html">diffDeparse-method</a></td>
+<td>Diff Deparsed Objects</td></tr>
+<tr><td style="width: 25%;"><a href="diffFile.html">diffFile</a></td>
+<td>Diff Files</td></tr>
+<tr><td style="width: 25%;"><a href="diffFile.html">diffFile-method</a></td>
+<td>Diff Files</td></tr>
+<tr><td style="width: 25%;"><a href="diffObj.html">diffObj</a></td>
+<td>Diff Objects</td></tr>
+<tr><td style="width: 25%;"><a href="webfiles.html">diffobj_css</a></td>
+<td>Return Location of Default HTML Support Files</td></tr>
+<tr><td style="width: 25%;"><a href="webfiles.html">diffobj_js</a></td>
+<td>Return Location of Default HTML Support Files</td></tr>
+<tr><td style="width: 25%;"><a href="diffobj_set_def_opts.html">diffobj_set_def_opts</a></td>
+<td>Set All diffobj Options to Defaults</td></tr>
+<tr><td style="width: 25%;"><a href="diffPrint.html">diffPrint</a></td>
+<td>Diff 'print'ed Objects</td></tr>
+<tr><td style="width: 25%;"><a href="diffPrint.html">diffPrint-method</a></td>
+<td>Diff 'print'ed Objects</td></tr>
+<tr><td style="width: 25%;"><a href="diffStr.html">diffStr</a></td>
+<td>Diff Object Structures</td></tr>
+<tr><td style="width: 25%;"><a href="diffStr.html">diffStr-method</a></td>
+<td>Diff Object Structures</td></tr>
+<tr><td style="width: 25%;"><a href="dimnames-PaletteOfStyles-method.html">dimnames-method</a></td>
+<td>Retrieve Dimnames for PaletteOfStyles Objects</td></tr>
+<tr><td style="width: 25%;"><a href="tag_f.html">div_f</a></td>
+<td>Make Functions That Wrap Text in HTML Tags</td></tr>
+<tr><td style="width: 25%;"><a href="tag_f.html">div_f,</a></td>
+<td>Make Functions That Wrap Text in HTML Tags</td></tr>
+</table>
+
+<h2><a id="F">-- F --</a></h2>
+
+<table style="width: 100%;">
+<tr><td style="width: 25%;"><a href="finalizeHtml.html">finalizeHtml</a></td>
+<td>Finalizing Methods for HTML Output</td></tr>
+<tr><td style="width: 25%;"><a href="finalizeHtml.html">finalizeHtml-method</a></td>
+<td>Finalizing Methods for HTML Output</td></tr>
+</table>
+
+<h2><a id="G">-- G --</a></h2>
+
+<table style="width: 100%;">
+<tr><td style="width: 25%;"><a href="gdo.html">gdo</a></td>
+<td>Shorthand Function for Accessing diffobj Options</td></tr>
+<tr><td style="width: 25%;"><a href="guides.html">guides</a></td>
+<td>Generic Methods to Implement Flexible Guide Line Computations</td></tr>
+<tr><td style="width: 25%;"><a href="guides.html">guidesChr</a></td>
+<td>Generic Methods to Implement Flexible Guide Line Computations</td></tr>
+<tr><td style="width: 25%;"><a href="guides.html">guidesChr,</a></td>
+<td>Generic Methods to Implement Flexible Guide Line Computations</td></tr>
+<tr><td style="width: 25%;"><a href="guides.html">guidesChr-method</a></td>
+<td>Generic Methods to Implement Flexible Guide Line Computations</td></tr>
+<tr><td style="width: 25%;"><a href="guides.html">guidesDeparse</a></td>
+<td>Generic Methods to Implement Flexible Guide Line Computations</td></tr>
+<tr><td style="width: 25%;"><a href="guides.html">guidesDeparse-method</a></td>
+<td>Generic Methods to Implement Flexible Guide Line Computations</td></tr>
+<tr><td style="width: 25%;"><a href="guides.html">guidesFile</a></td>
+<td>Generic Methods to Implement Flexible Guide Line Computations</td></tr>
+<tr><td style="width: 25%;"><a href="guides.html">guidesFile-method</a></td>
+<td>Generic Methods to Implement Flexible Guide Line Computations</td></tr>
+<tr><td style="width: 25%;"><a href="guides.html">guidesPrint</a></td>
+<td>Generic Methods to Implement Flexible Guide Line Computations</td></tr>
+<tr><td style="width: 25%;"><a href="guides.html">guidesPrint,</a></td>
+<td>Generic Methods to Implement Flexible Guide Line Computations</td></tr>
+<tr><td style="width: 25%;"><a href="guides.html">guidesPrint-method</a></td>
+<td>Generic Methods to Implement Flexible Guide Line Computations</td></tr>
+<tr><td style="width: 25%;"><a href="guides.html">guidesStr</a></td>
+<td>Generic Methods to Implement Flexible Guide Line Computations</td></tr>
+<tr><td style="width: 25%;"><a href="guides.html">guidesStr,</a></td>
+<td>Generic Methods to Implement Flexible Guide Line Computations</td></tr>
+<tr><td style="width: 25%;"><a href="guides.html">guidesStr-method</a></td>
+<td>Generic Methods to Implement Flexible Guide Line Computations</td></tr>
+</table>
+
+<h2><a id="H">-- H --</a></h2>
+
+<table style="width: 100%;">
+<tr><td style="width: 25%;"><a href="has_Rdiff.html">has_Rdiff</a></td>
+<td>Attempt to Detect Whether diff Utility is Available</td></tr>
+<tr><td style="width: 25%;"><a href="extract-Diff-method.html">head-method</a></td>
+<td>Subsetting Methods for Diff Objects</td></tr>
+</table>
+
+<h2><a id="M">-- M --</a></h2>
+
+<table style="width: 100%;">
+<tr><td style="width: 25%;"><a href="make_blocking.html">make_blocking</a></td>
+<td>Create a Blocking Version of a Function</td></tr>
+</table>
+
+<h2><a id="N">-- N --</a></h2>
+
+<table style="width: 100%;">
+<tr><td style="width: 25%;"><a href="nchar_html.html">nchar_html</a></td>
+<td>Count Text Characters in HTML</td></tr>
+</table>
+
+<h2><a id="P">-- P --</a></h2>
+
+<table style="width: 100%;">
+<tr><td style="width: 25%;"><a href="Pager.html">Pager</a></td>
+<td>Objects for Specifying Pager Settings</td></tr>
+<tr><td style="width: 25%;"><a href="Pager.html">PagerBrowser</a></td>
+<td>Objects for Specifying Pager Settings</td></tr>
+<tr><td style="width: 25%;"><a href="Pager.html">PagerOff</a></td>
+<td>Objects for Specifying Pager Settings</td></tr>
+<tr><td style="width: 25%;"><a href="Pager.html">PagerOff,</a></td>
+<td>Objects for Specifying Pager Settings</td></tr>
+<tr><td style="width: 25%;"><a href="Pager.html">PagerOff-class</a></td>
+<td>Objects for Specifying Pager Settings</td></tr>
+<tr><td style="width: 25%;"><a href="Pager.html">PagerSystem</a></td>
+<td>Objects for Specifying Pager Settings</td></tr>
+<tr><td style="width: 25%;"><a href="Pager.html">PagerSystem,</a></td>
+<td>Objects for Specifying Pager Settings</td></tr>
+<tr><td style="width: 25%;"><a href="Pager.html">PagerSystem-class</a></td>
+<td>Objects for Specifying Pager Settings</td></tr>
+<tr><td style="width: 25%;"><a href="Pager.html">PagerSystemLess</a></td>
+<td>Objects for Specifying Pager Settings</td></tr>
+<tr><td style="width: 25%;"><a href="Pager.html">PagerSystemLess,</a></td>
+<td>Objects for Specifying Pager Settings</td></tr>
+<tr><td style="width: 25%;"><a href="Pager.html">PagerSystemLess-class</a></td>
+<td>Objects for Specifying Pager Settings</td></tr>
+<tr><td style="width: 25%;"><a href="pager_is_less.html">pager_is_less</a></td>
+<td>Check Whether System Has less as Pager</td></tr>
+<tr><td style="width: 25%;"><a href="PaletteOfStyles-class.html">PaletteOfStyles</a></td>
+<td>Class for Tracking Default Styles by Style Type</td></tr>
+<tr><td style="width: 25%;"><a href="PaletteOfStyles-class.html">PaletteOfStyles-class</a></td>
+<td>Class for Tracking Default Styles by Style Type</td></tr>
+<tr><td style="width: 25%;"><a href="par_frame.html">par_frame</a></td>
+<td>Get Parent Frame of S4 Call Stack</td></tr>
+</table>
+
+<h2><a id="R">-- R --</a></h2>
+
+<table style="width: 100%;">
+<tr><td style="width: 25%;"><a href="Rdiff_chr.html">Rdiff_chr</a></td>
+<td>Run Rdiff Directly on R Objects</td></tr>
+<tr><td style="width: 25%;"><a href="Rdiff_chr.html">Rdiff_obj</a></td>
+<td>Run Rdiff Directly on R Objects</td></tr>
+</table>
+
+<h2><a id="S">-- S --</a></h2>
+
+<table style="width: 100%;">
+<tr><td style="width: 25%;"><a href="ses.html">ses</a></td>
+<td>Shortest Edit Script</td></tr>
+<tr><td style="width: 25%;"><a href="ses.html">ses_dat</a></td>
+<td>Shortest Edit Script</td></tr>
+<tr><td style="width: 25%;"><a href="show-DiffSummary-method.html">show-method</a></td>
+<td>Display DiffSummary Objects</td></tr>
+<tr><td style="width: 25%;"><a href="show-PaletteOfStyles-method.html">show-method</a></td>
+<td>Display a PaletteOfStyles</td></tr>
+<tr><td style="width: 25%;"><a href="show-Style-method.html">show-method</a></td>
+<td>Show Method for Style Objects</td></tr>
+<tr><td style="width: 25%;"><a href="tag_f.html">span_f</a></td>
+<td>Make Functions That Wrap Text in HTML Tags</td></tr>
+<tr><td style="width: 25%;"><a href="tag_f.html">span_f,</a></td>
+<td>Make Functions That Wrap Text in HTML Tags</td></tr>
+<tr><td style="width: 25%;"><a href="Style.html">Style</a></td>
+<td>Customize Appearance of Diff</td></tr>
+<tr><td style="width: 25%;"><a href="Style.html">Style-class</a></td>
+<td>Customize Appearance of Diff</td></tr>
+<tr><td style="width: 25%;"><a href="Style.html">StyleAnsi</a></td>
+<td>Customize Appearance of Diff</td></tr>
+<tr><td style="width: 25%;"><a href="Style.html">StyleAnsi-class</a></td>
+<td>Customize Appearance of Diff</td></tr>
+<tr><td style="width: 25%;"><a href="Style.html">StyleAnsi256DarkRgb</a></td>
+<td>Customize Appearance of Diff</td></tr>
+<tr><td style="width: 25%;"><a href="Style.html">StyleAnsi256DarkRgb-class</a></td>
+<td>Customize Appearance of Diff</td></tr>
+<tr><td style="width: 25%;"><a href="Style.html">StyleAnsi256DarkYb</a></td>
+<td>Customize Appearance of Diff</td></tr>
+<tr><td style="width: 25%;"><a href="Style.html">StyleAnsi256DarkYb-class</a></td>
+<td>Customize Appearance of Diff</td></tr>
+<tr><td style="width: 25%;"><a href="Style.html">StyleAnsi256LightRgb</a></td>
+<td>Customize Appearance of Diff</td></tr>
+<tr><td style="width: 25%;"><a href="Style.html">StyleAnsi256LightRgb-class</a></td>
+<td>Customize Appearance of Diff</td></tr>
+<tr><td style="width: 25%;"><a href="Style.html">StyleAnsi256LightYb</a></td>
+<td>Customize Appearance of Diff</td></tr>
+<tr><td style="width: 25%;"><a href="Style.html">StyleAnsi256LightYb-class</a></td>
+<td>Customize Appearance of Diff</td></tr>
+<tr><td style="width: 25%;"><a href="Style.html">StyleAnsi8NeutralRgb</a></td>
+<td>Customize Appearance of Diff</td></tr>
+<tr><td style="width: 25%;"><a href="Style.html">StyleAnsi8NeutralRgb-class</a></td>
+<td>Customize Appearance of Diff</td></tr>
+<tr><td style="width: 25%;"><a href="Style.html">StyleAnsi8NeutralYb</a></td>
+<td>Customize Appearance of Diff</td></tr>
+<tr><td style="width: 25%;"><a href="Style.html">StyleAnsi8NeutralYb-class</a></td>
+<td>Customize Appearance of Diff</td></tr>
+<tr><td style="width: 25%;"><a href="StyleFuns.html">StyleFuns</a></td>
+<td>Functions Used for Styling Diff Components</td></tr>
+<tr><td style="width: 25%;"><a href="StyleFuns.html">StyleFuns-class</a></td>
+<td>Functions Used for Styling Diff Components</td></tr>
+<tr><td style="width: 25%;"><a href="Style.html">StyleHtml</a></td>
+<td>Customize Appearance of Diff</td></tr>
+<tr><td style="width: 25%;"><a href="Style.html">StyleHtml-class</a></td>
+<td>Customize Appearance of Diff</td></tr>
+<tr><td style="width: 25%;"><a href="Style.html">StyleHtmlLightRgb</a></td>
+<td>Customize Appearance of Diff</td></tr>
+<tr><td style="width: 25%;"><a href="Style.html">StyleHtmlLightRgb-class</a></td>
+<td>Customize Appearance of Diff</td></tr>
+<tr><td style="width: 25%;"><a href="Style.html">StyleHtmlLightYb</a></td>
+<td>Customize Appearance of Diff</td></tr>
+<tr><td style="width: 25%;"><a href="Style.html">StyleHtmlLightYb-class</a></td>
+<td>Customize Appearance of Diff</td></tr>
+<tr><td style="width: 25%;"><a href="Style.html">StyleRaw</a></td>
+<td>Customize Appearance of Diff</td></tr>
+<tr><td style="width: 25%;"><a href="Style.html">StyleRaw-class</a></td>
+<td>Customize Appearance of Diff</td></tr>
+<tr><td style="width: 25%;"><a href="StyleSummary.html">StyleSummary</a></td>
+<td>Styling Information for Summaries</td></tr>
+<tr><td style="width: 25%;"><a href="StyleSummary.html">StyleSummary-class</a></td>
+<td>Styling Information for Summaries</td></tr>
+<tr><td style="width: 25%;"><a href="StyleSummary.html">StyleSummaryHtml</a></td>
+<td>Styling Information for Summaries</td></tr>
+<tr><td style="width: 25%;"><a href="StyleSummary.html">StyleSummaryHtml-class</a></td>
+<td>Styling Information for Summaries</td></tr>
+<tr><td style="width: 25%;"><a href="StyleText.html">StyleText</a></td>
+<td>Character Tokens Used in Diffs</td></tr>
+<tr><td style="width: 25%;"><a href="StyleText.html">StyleText-class</a></td>
+<td>Character Tokens Used in Diffs</td></tr>
+<tr><td style="width: 25%;"><a href="summary-Diff-method.html">summary-method</a></td>
+<td>Summary Method for Diff Objects</td></tr>
+<tr><td style="width: 25%;"><a href="summary-PaletteOfStyles-method.html">summary-method</a></td>
+<td>Display a Summarized Version of a PaletteOfStyles</td></tr>
+</table>
+
+<h2><a id="T">-- T --</a></h2>
+
+<table style="width: 100%;">
+<tr><td style="width: 25%;"><a href="tag_f.html">tag_f</a></td>
+<td>Make Functions That Wrap Text in HTML Tags</td></tr>
+<tr><td style="width: 25%;"><a href="extract-Diff-method.html">tail-method</a></td>
+<td>Subsetting Methods for Diff Objects</td></tr>
+<tr><td style="width: 25%;"><a href="trim.html">trim</a></td>
+<td>Methods to Remove Unsemantic Text Prior to Diff</td></tr>
+<tr><td style="width: 25%;"><a href="trim.html">trimChr</a></td>
+<td>Methods to Remove Unsemantic Text Prior to Diff</td></tr>
+<tr><td style="width: 25%;"><a href="trim.html">trimChr,</a></td>
+<td>Methods to Remove Unsemantic Text Prior to Diff</td></tr>
+<tr><td style="width: 25%;"><a href="trim.html">trimChr-method</a></td>
+<td>Methods to Remove Unsemantic Text Prior to Diff</td></tr>
+<tr><td style="width: 25%;"><a href="trim.html">trimDeparse</a></td>
+<td>Methods to Remove Unsemantic Text Prior to Diff</td></tr>
+<tr><td style="width: 25%;"><a href="trim.html">trimDeparse,</a></td>
+<td>Methods to Remove Unsemantic Text Prior to Diff</td></tr>
+<tr><td style="width: 25%;"><a href="trim.html">trimDeparse-method</a></td>
+<td>Methods to Remove Unsemantic Text Prior to Diff</td></tr>
+<tr><td style="width: 25%;"><a href="trim.html">trimFile</a></td>
+<td>Methods to Remove Unsemantic Text Prior to Diff</td></tr>
+<tr><td style="width: 25%;"><a href="trim.html">trimFile-method</a></td>
+<td>Methods to Remove Unsemantic Text Prior to Diff</td></tr>
+<tr><td style="width: 25%;"><a href="trim.html">trimPrint</a></td>
+<td>Methods to Remove Unsemantic Text Prior to Diff</td></tr>
+<tr><td style="width: 25%;"><a href="trim.html">trimPrint,</a></td>
+<td>Methods to Remove Unsemantic Text Prior to Diff</td></tr>
+<tr><td style="width: 25%;"><a href="trim.html">trimPrint-method</a></td>
+<td>Methods to Remove Unsemantic Text Prior to Diff</td></tr>
+<tr><td style="width: 25%;"><a href="trim.html">trimStr</a></td>
+<td>Methods to Remove Unsemantic Text Prior to Diff</td></tr>
+<tr><td style="width: 25%;"><a href="trim.html">trimStr,</a></td>
+<td>Methods to Remove Unsemantic Text Prior to Diff</td></tr>
+<tr><td style="width: 25%;"><a href="trim.html">trimStr-method</a></td>
+<td>Methods to Remove Unsemantic Text Prior to Diff</td></tr>
+</table>
+
+<h2><a id="V">-- V --</a></h2>
+
+<table style="width: 100%;">
+<tr><td style="width: 25%;"><a href="view_or_browse.html">view_or_browse</a></td>
+<td>Invoke IDE Viewer If Available, browseURL If Not</td></tr>
+</table>
+
+<h2><a id="W">-- W --</a></h2>
+
+<table style="width: 100%;">
+<tr><td style="width: 25%;"><a href="webfiles.html">webfiles</a></td>
+<td>Return Location of Default HTML Support Files</td></tr>
+</table>
+
+<h2><a id="misc">-- misc --</a></h2>
+
+<table style="width: 100%;">
+<tr><td style="width: 25%;"><a href="Extract_PaletteOfStyles.html">[-method</a></td>
+<td>Extract/Replace a Style Class or Object from PaletteOfStyles</td></tr>
+<tr><td style="width: 25%;"><a href="extract-Diff-method.html">[-method</a></td>
+<td>Subsetting Methods for Diff Objects</td></tr>
+<tr><td style="width: 25%;"><a href="Extract_PaletteOfStyles.html">[&lt;--method</a></td>
+<td>Extract/Replace a Style Class or Object from PaletteOfStyles</td></tr>
+<tr><td style="width: 25%;"><a href="Extract_PaletteOfStyles.html">[[-method</a></td>
+<td>Extract/Replace a Style Class or Object from PaletteOfStyles</td></tr>
+</table>
+</div></body></html>
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/diffobj/script/diffobj.js
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/diffobj/script/diffobj.js	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/diffobj/script/diffobj.js	(revision 3761)
@@ -0,0 +1,166 @@
+// diffobj - Compare R Objects with a Diff
+// Copyright (C) 2021 Brodie Gaslam
+//
+// This program is free software: you can redistribute it and/or modify
+// it under the terms of the GNU General Public License as published by
+// the Free Software Foundation, either version 3 of the License, or
+// (at your option) any later version.
+//
+// This program is distributed in the hope that it will be useful,
+// but WITHOUT ANY WARRANTY; without even the implied warranty of
+// MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
+// GNU General Public License for more details.
+//
+// Go to <https://www.r-project.org/Licenses/GPL-3> for a copy of the license.
+
+/*
+ * Resizes diff by changing font-size using a hidden row of sample output as
+ * a reference
+ *
+ * NOTE: this code is intended to be loaded after the HTML has been rendered
+ * and is assumed to be the only JS on the page.  It should only be included
+ * as part of output when in "page" mode and should not be embedded in other
+ * content.  For that, use the HTML/CSS only outputs.
+ */
+
+var meta = document.getElementById("diffobj_meta");
+var meta_cont = document.getElementById("diffobj_content_meta");
+var meta_banner = document.getElementById("diffobj_banner_meta");
+var content = document.getElementById("diffobj_content");
+var outer = document.getElementById("diffobj_outer");
+
+if(
+  meta == null || content == null || outer == null ||
+  meta_cont == null || meta_banner == null
+)
+  throw new Error("Unable to find meta and content; contact maintainer.");
+
+var row = meta_cont.getElementsByClassName("row");
+
+if(row.length != 1)
+  throw new Error("Unexpected row struct in meta block; contact maintainer.");
+
+var lines = meta_cont.getElementsByClassName("line");
+
+if(lines.length != 1 && lines.length != 2)
+  throw new Error("Unexpected lines in meta block; contact maintainer.");
+
+var meta_bnr_gutter =
+  document.querySelector("#diffobj_banner_meta .line .gutter");
+var meta_bnr_delete =
+  document.querySelector("#diffobj_banner_meta .line .text>.delete");
+var meta_bnr_text =
+  document.querySelector("#diffobj_banner_meta .line .text");
+
+var bnr_gutters =
+  document.querySelectorAll("#diffobj_content .line.banner .gutter");
+var bnr_text_div =
+  document.querySelectorAll("#diffobj_content .line.banner .text>DIV");
+
+if(
+    meta_bnr_gutter == null || meta_bnr_delete == null ||
+    bnr_gutters.length != 2 || bnr_text_div.length != 2
+  )
+  throw new Error("Unable to get meta banner objects")
+
+// Set the banners to 'fixed'; need to be in auto by default
+
+for(i = 0; i < 2; i++) bnr_text_div[i].style.tableLayout = "fixed";
+
+// - Set Min Width -------------------------------------------------------------
+
+// Makes sure that we don't wrap under "native" width
+// Note we need to pad because scrollWidth appears to truncate floats to int
+
+meta.style.display = "block";
+var min_width = 0;
+for(i = 0; i < lines.length; i++) min_width += lines[i].scrollWidth + 1;
+meta.style.display = "none";
+
+content.style.minWidth = min_width + "px";
+
+function resize_diff_out(scale) {
+
+  // - Get object refs ---------------------------------------------------------
+
+
+  // - Get Sizes ---------------------------------------------------------------
+
+  meta.style.display = "block";
+
+  // The getComputedStyle business won't work on IE9 or lower; need to detect
+  // and implement work-around
+
+  var b_t, b_d_w, b_d_o, b_g;
+  b_g = parseFloat(window.getComputedStyle(meta_bnr_gutter).width);
+  b_d_o = meta_bnr_delete.offsetWidth;
+  b_d_w = parseFloat(window.getComputedStyle(meta_bnr_delete).width);
+  b_t = parseFloat(window.getComputedStyle(meta_bnr_text).width);
+
+  meta.style.display = "none";
+
+  // - Set Sizes ---------------------------------------------------------------
+
+  for(i = 0; i < 2; i++) {
+    bnr_gutters[i].style.width = b_g + "px";
+    // for some reason table fixed width computation doesn't properly account
+    // for padding and lines
+    bnr_text_div[i].style.width = b_t - b_d_o + b_d_w + "px";
+  }
+  var w = document.body.clientWidth;
+  var scale_size = w / min_width;
+
+  if(scale_size < 1) {
+
+    if(scale) {
+      content.style.transform = "scale(" + scale_size + ")";
+      content.style.transformOrigin = "top left";
+      content.style.webkitTransform = "scale(" + scale_size + ")";
+      content.style.webkitTransformOrigin = "top left";
+      content.style.msTransform = "scale(" + scale_size + ")";
+      content.style.msTransformOrigin = "top left";
+      content.style.MozTransform = "scale(" + scale_size + ")";
+      content.style.MozTransformOrigin = "top left";
+      content.style.oTransform = "scale(" + scale_size + ")";
+      content.style.oTransformOrigin = "top left";
+
+      var cont_rec_h = content.getBoundingClientRect().height;
+
+      if(cont_rec_h) {
+        outer.style.height = cont_rec_h + "px";
+      }
+    }
+    var cont_rec_w = content.getBoundingClientRect().width;
+    if(cont_rec_w) {
+      outer.style.width = cont_rec_w + "px";
+    }
+  } else {
+    content.style.transform = "none";
+    content.style.MozTransform = "none";
+    content.style.webkitTransform = "none";
+    content.style.msTransform = "none";
+    content.style.oTransform = "none";
+    outer.style.height = "auto";
+    outer.style.width = "auto";
+  }
+};
+/*
+ * Manage resize timeout based on how large the object is
+ */
+
+var out_rows = content.getElementsByClassName("row").length;
+var timeout_time;
+if(out_rows < 100) {
+  timeout_time = 25;
+} else {
+  timeout_time = Math.min(25 + (out_rows - 100) / 4, 500)
+}
+
+var timeout;
+function resize_window(f, scale) {
+  clearTimeout(timeout);
+  timeout = setTimeout(f, timeout_time, scale);
+}
+
+function resize_diff_out_scale() {resize_window(resize_diff_out, true);}
+function resize_diff_out_no_scale() {resize_window(resize_diff_out, false);}
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/diffobj/doc/diffobj.R
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/diffobj/doc/diffobj.R	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/diffobj/doc/diffobj.R	(revision 3761)
@@ -0,0 +1,85 @@
+## ---- echo=FALSE--------------------------------------------------------------
+library(diffobj)
+old.opt <- options(
+  diffobj.disp.width=80, diffobj.pager="off", diffobj.format="html"
+)
+
+## ---- results="asis"----------------------------------------------------------
+a <- b <- matrix(1:100, ncol=2)
+a <- a[-20,]
+b <- b[-45,]
+b[c(18, 44)] <- 999
+diffPrint(target=a, current=b)
+
+## ---- results="asis", echo=FALSE----------------------------------------------
+diffPrint(target=a, current=b)[1]
+
+## ---- results="asis", echo=FALSE----------------------------------------------
+diffPrint(target=a, current=b)[2:10]
+
+## ---- results="asis", echo=FALSE----------------------------------------------
+diffPrint(target=a, current=b)[3]
+
+## ---- results="asis", echo=FALSE----------------------------------------------
+diffPrint(target=a, current=b)[6:9]
+
+## ---- results="asis", echo=FALSE----------------------------------------------
+diffPrint(target=a, current=b)[8:9]
+
+## ---- results="asis"----------------------------------------------------------
+state.abb2 <- state.abb[-16]
+state.abb2[37] <- "Pennsylvania"
+diffPrint(state.abb, state.abb2)
+
+## ---- results="asis"----------------------------------------------------------
+mdl1 <- lm(Sepal.Length ~ Sepal.Width, iris)
+mdl2 <- lm(Sepal.Length ~ Sepal.Width + Species, iris)
+diffStr(mdl1$qr, mdl2$qr, line.limit=15)
+
+## ---- results="asis"----------------------------------------------------------
+diffChr(letters[1:3], c("a", "B", "c"))
+
+## ---- eval=FALSE--------------------------------------------------------------
+#  x <- diffPrint(letters, LETTERS)
+#  x   # or equivalently: `show(x)`
+
+## ---- results="asis"----------------------------------------------------------
+summary(diffStr(mdl1, mdl2))
+
+## ---- results="asis", eval=FALSE----------------------------------------------
+#  x <- y <- letters[24:26]
+#  y[2] <- "GREMLINS"
+#  diffChr(x, y)
+
+## ---- results="asis", echo=FALSE----------------------------------------------
+x <- y <- letters[24:26]
+y[2] <- "GREMLINS"
+diffChr(x, y, mode="sidebyside")
+
+## ---- results="asis", echo=FALSE----------------------------------------------
+x <- y <- letters[24:26]
+y[2] <- "GREMLINS"
+diffChr(x, y, mode="unified")
+
+## ---- results="asis", echo=FALSE----------------------------------------------
+x <- y <- letters[24:26]
+y[2] <- "GREMLINS"
+diffChr(x, y, mode="context")
+
+## ---- results="asis"----------------------------------------------------------
+diffChr(x, y, color.mode="rgb")
+
+## ---- eval=FALSE--------------------------------------------------------------
+#  v1 <- 1:5e4
+#  v2 <- v1[-sample(v1, 100)]
+#  diffChr(v1, v2, word.diff=FALSE)
+
+## ---- eval=FALSE--------------------------------------------------------------
+#  diffPrint(v1, v2)
+
+## -----------------------------------------------------------------------------
+ses(letters[1:5], letters[c(2:3, 5)])
+
+## ---- echo=FALSE--------------------------------------------------------------
+options(old.opt)
+
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/diffobj/doc/diffobj.Rmd
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/diffobj/doc/diffobj.Rmd	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/diffobj/doc/diffobj.Rmd	(revision 3761)
@@ -0,0 +1,329 @@
+---
+title: "diffobj - Diffs for R Objects"
+author: "Brodie Gaslam"
+output:
+    rmarkdown::html_vignette:
+        toc: true
+        css:
+          - !expr diffobj::diffobj_css()
+          - styles.css
+vignette: >
+  %\VignetteIndexEntry{Introduction to Diffobj}
+  %\VignetteEngine{knitr::rmarkdown}
+  \usepackage[utf8]{inputenc}
+
+---
+
+```{r, echo=FALSE}
+library(diffobj)
+old.opt <- options(
+  diffobj.disp.width=80, diffobj.pager="off", diffobj.format="html"
+)
+```
+## Introduction
+
+`diffobj` uses the same comparison mechanism used by `git diff` and `diff` to highlight differences between _rendered_ R objects:
+
+```{r, results="asis"}
+a <- b <- matrix(1:100, ncol=2)
+a <- a[-20,]
+b <- b[-45,]
+b[c(18, 44)] <- 999
+diffPrint(target=a, current=b)
+```
+
+`diffobj` comparisons work best when objects have some similarities, or when they are relatively small.  The package was originally developed to help diagnose failed unit tests by comparing test results to reference objects in a human-friendly manner.
+
+If your terminal supports formatting through ANSI escape sequences, `diffobj` will output colored diffs to the terminal.  If not, it will output colored diffs to your IDE viewport if it is supported, or to your browser otherwise.
+
+## Interpreting Diffs
+
+### Shortest Edit Script
+
+The output from `diffobj` is a visual representation of the Shortest Edit Script (SES).  An SES is the shortest set of deletion and insertion instructions for converting one sequence of elements into another.  In our case, the elements are lines of text.  We encode the instructions to convert `a` to `b` by deleting lines from `a` (in yellow) and inserting new ones from `b` (in blue).
+
+### Diff Structure
+
+The first line of our diff output acts as a legend to the diff by associating the colors and symbols used to represent differences present in each object with the name of the object:
+
+```{r, results="asis", echo=FALSE}
+diffPrint(target=a, current=b)[1]
+```
+
+After the legend come the hunks, which are portions of the objects that have differences with nearby matching lines provided for context:
+
+```{r, results="asis", echo=FALSE}
+diffPrint(target=a, current=b)[2:10]
+```
+
+At the top of the hunk is the hunk header: this tells us that the first displayed hunk (including context lines), starts at line 17 and spans 6 lines for `a` and 7 for `b`.  These are display lines, not object row indices, which is why the first row shown of the matrix is row 16.  You might have also noticed that the line after the hunk header is out of place:
+
+```{r, results="asis", echo=FALSE}
+diffPrint(target=a, current=b)[3]
+```
+
+This is a special context line that is not technically part of the hunk, but is shown nonetheless because it is useful in helping understand the data.  The line is styled differently to highlight that it is not part of the hunk.  Since it is not part of the hunk, it is not accounted for in the hunk header.  See `?guideLines` for more details.
+
+The actual mismatched lines are highlighted in the colors of the legend, with additional visual cues in the gutters:
+
+```{r, results="asis", echo=FALSE}
+diffPrint(target=a, current=b)[6:9]
+```
+
+`diffobj` uses a line by line diff to identify which portions of each of the objects are mismatches, so even if only part of a line mismatches it will be considered different.  `diffobj` then runs a word diff within the hunks and further highlights mismatching words.
+
+Let's examine the last two lines from the previous hunk more closely:
+
+```{r, results="asis", echo=FALSE}
+diffPrint(target=a, current=b)[8:9]
+```
+
+Here `b` has an extra line so `diffobj` adds an empty line to `a` to maintain the alignment for subsequent matching lines.  This additional line is marked with a tilde in the gutter and is shown in a different color to indicate it is not part of the original text.
+
+If you look closely at the next matching line you will notice that the `a` and `b` values are not exactly the same.  The row indices are different, but `diffobj` excludes row indices from the diff so that rows that are identical otherwise are shown as matching.  `diffobj` indicates this is happening by showing the portions of a line that are ignored in the diff in grey.
+
+See `?guides` and `?trim` for details and limitations on guideline detection and
+unsemantic meta data trimming.
+
+### Atomic Vectors
+
+Since R can display multiple elements in an atomic vector on the same line, and `diffPrint` is fundamentally a line diff, we use specialized logic when diffing atomic vectors.  Consider:
+
+```{r, results="asis"}
+state.abb2 <- state.abb[-16]
+state.abb2[37] <- "Pennsylvania"
+diffPrint(state.abb, state.abb2)
+```
+
+Due to the different wrapping frequency no line in the text display of our two vectors matches.  Despite this, `diffPrint` only highlights the lines that actually contain differences.  The side effect is that lines that only contain matching elements are shown as matching even though the actual lines may be different.  You can turn off this behavior in favor of a normal line diff with the `unwrap.atomic` argument to `diffPrint`.
+
+Currently this only works for _unnamed_ vectors, and even for them some inputs
+may produce sub-optimal results.  Nested vectors inside lists will not be
+unwrapped.  You can also use `diffChr` (see below) to do a direct element by
+element comparison.
+
+## Other Diff Functions
+
+### Method Overview
+
+`diffobj` defines several S4 generics and default methods to go along with them.  Each of them uses a different text representation of the inputs:
+
+* `diffPrint`: use the `print`/`show` output and is the one used in the examples so far
+* `diffStr`: use the output of `str`
+* `diffObj`: picks between `print`/`show` and `str` depending on which provides the "best" overview of differences
+* `diffChr`: coerces the inputs to atomic character vectors with `as.character`, and runs the diff on the character vector
+* `diffFile`: compares the text content of two files
+* `diffCsv`: loads two CSV files into data frames and compares the data frames with `diffPrint`
+* `diffDeparse`: deparses and compares the character vectors produced by the deparsing
+* `ses`: computes the element by element shortest edit script on two character vectors
+
+Note the `diff*` functions use lowerCamelCase in keeping with S4 method name convention, whereas the package name itself is all lower case.
+
+### Compare Structure with `diffStr`
+
+For complex objects it is often useful to compare structures:
+
+```{r, results="asis"}
+mdl1 <- lm(Sepal.Length ~ Sepal.Width, iris)
+mdl2 <- lm(Sepal.Length ~ Sepal.Width + Species, iris)
+diffStr(mdl1$qr, mdl2$qr, line.limit=15)
+```
+
+If you specify a `line.limit` with `diffStr` it will fold nested levels in order to fit under `line.limit` so long as there remain visible differences.  If you prefer to see all the differences you can leave `line.limit` unspecified.
+
+### Compare Vectors Elements with `diffChr`
+
+Sometimes it is useful to do a direct element by element comparison:
+
+```{r, results="asis"}
+diffChr(letters[1:3], c("a", "B", "c"))
+```
+
+Notice how we are comparing the contents of the vectors with one line per element.
+
+### Why S4?
+
+The `diff*` functions are defined as S4 generics with default methods (signature `c("ANY", "ANY")`) so that users can customize behavior for their own objects.  For example, a custom method could set many of the default parameters to values more suitable for a particular object.  If the objects in question are S3 objects the S3 class will have to be registered with `setOldClass`.
+
+### Return Value
+
+All the `diff*` methods return a `Diff` S4 object.  It has a `show` method which is responsible for rendering the `Diff` and displaying it to the screen.  Because of this you can compute and render diffs in two steps:
+
+```{r, eval=FALSE}
+x <- diffPrint(letters, LETTERS)
+x   # or equivalently: `show(x)`
+```
+
+This may cause the diff to render funny if you change screen widths, etc., between the two steps.
+
+There are also `summary`, `any`, and `as.character` methods.  The `summary` method provides a high level overview of where the differences are, which can be helpful for large diffs:
+
+```{r, results="asis"}
+summary(diffStr(mdl1, mdl2))
+```
+
+`any` returns TRUE if there are differences, and `as.character` returns the character representation of the diff.
+
+## Controlling Diffs and Their Appearance
+
+### Parameters
+
+The `diff*` family of methods has an extensive set of parameters that allow you to fine tune how the diff is applied and displayed.  We will review some of the major ones in this section.  For a full description see `?diffPrint`.
+
+While the parameter list is extensive, only the objects being compared are required.  All the other parameters have default values, and most of them are for advanced use only.  The defaults can all be adjusted via the `diffobj.*` options.
+
+### Display Mode
+
+There are three built-in display modes that are similar to those found in GNU `diff`: "sidebyside", "unified", and "context".  For example, by varying the `mode` parameter with:
+
+```{r, results="asis", eval=FALSE}
+x <- y <- letters[24:26]
+y[2] <- "GREMLINS"
+diffChr(x, y)
+```
+
+we get:
+
+<table>
+<tr><th>mode="sidebyside"<th>mode="unified"<th>mode="context"
+<tr style="vertical-align: top">
+<td>
+```{r, results="asis", echo=FALSE}
+x <- y <- letters[24:26]
+y[2] <- "GREMLINS"
+diffChr(x, y, mode="sidebyside")
+```
+<td>
+```{r, results="asis", echo=FALSE}
+x <- y <- letters[24:26]
+y[2] <- "GREMLINS"
+diffChr(x, y, mode="unified")
+```
+<td>
+```{r, results="asis", echo=FALSE}
+x <- y <- letters[24:26]
+y[2] <- "GREMLINS"
+diffChr(x, y, mode="context")
+```
+</table>
+
+By default `diffobj` will try to use `mode="sidebyside"` if reasonable given display width, and otherwise will switch to `mode="unified"`.  You can always force a particular display style by specifying it with the `mode` argument.
+
+### Color Mode
+
+The default color mode uses yellow and blue to symbolize deletions and insertions for accessibility to dichromats.  If you prefer the more traditional color mode you can specify `color.mode="rgb"` in the parameter list, or use `options(diffobj.color.mode="rgb")`:
+
+```{r, results="asis"}
+diffChr(x, y, color.mode="rgb")
+```
+
+### Output Formats
+
+If your terminal supports it `diffobj` will format the output with ANSI escape sequences.  `diffobj` uses GÃ¡bor CsÃ¡rdi's [`crayon`](https://github.com/r-lib/crayon) package to detect ANSI support and to apply ANSI based formatting.  If you are using RStudio or another IDE that supports `getOption("viewer")`, `diffobj` will output an HTML/CSS formatted diff to the viewport.  In other terminals that do not support ANSI colors, `diffobj` will attempt to output to an HTML/CSS formatted diff to your browser using `browseURL`.
+
+You can explicitly specify the output format with the `format` parameter:
+
+* `format="raw"` for unformatted diffs
+* `format="ansi8"` for standard ANSI 8 color formatting
+* `format="ansi256"` for ANSI 256 color formatting
+* `format="html"` for HTML/CSS output and styling
+
+See [Pagers](#pagers) for more details.
+
+### Brightness
+
+The `brightness` parameter allows you to pick a color scheme compatible with the background color of your terminal.  The options are:
+
+* "light": for use with light tone terminals
+* "dark": for use with dark tone terminals
+* "neutral": for use with either light or dark terminals
+
+Here are examples of terminal screen renderings for both "rgb" and "yb" `color.mode` for the three `brightness` levels.
+
+<img src="ansi256brightness.png"></img>
+
+The examples for "light" and "dark" have the backgrounds forcefully set to a color compatible with the scheme.  In actual use the base background and foreground colors are left unchanged, which will look bad if you use "dark" with light colored backgrounds or vice versa.  Since we do not know of a good cross platform way of detecting terminal background color the default `brightness` value is "neutral".
+
+At this time the only `format` that is affected by this parameter is "ansi256".  If you want to specify your own light/dark/neutral schemes you may do so either by specifying a [style](#styles) directly or with [Palette of Styles](#styles).
+
+### Pagers
+
+In interactive mode, if the diff output is very long or if your terminal does not support ANSI colors, `diff*` methods will pipe output to a pager. This is done by writing the output to a temporary file and passing the file reference to the pager.  The default action is to invoke the pager with `file.show` if your terminal supports ANSI colors and the pager is known to support ANSI colors as well (as of this writing, only `less` is assumed to support ANSI colors), or if not to use `getOption("viewer")` if available (this outputs to the viewport in RStudio), or if not to use `browseURL`.
+
+You can fine tune when, how, and if a pager is used with the `pager` parameter.  See `?diffPrint` and `?Pager` for more details.
+
+### Styles
+
+You can control almost all aspects of the diff output formatting via the `style` parameter.  To do so, pass an appropriately configured `Style` object.  See `?Style` for more details on how to do this.
+
+The default is to auto pick a style based on the values of the `format`, `color.mode`, and `brightness` parameters.  This is done by using the computed values for each of those parameters to subset the `PaletteOfStyles` object passed as the `palette.of.styles` parameter.  This `PaletteOfStyles` object contains a `Style` object for all the possible permutations of the `style`, `format`, and `color.mode` parameters.  See `?PaletteOfStyles`.
+
+If you specify the `style` parameter the values of the `format`, `brightness`, and `color.mode` parameters will be ignored.
+
+## Diff Algorithm
+
+The primary diff algorithm is Myer's solution to the shortest edit script /
+longest common sequence problem with the Hirschberg linear space refinement
+as described in:
+
+> E. Myers, "An O(ND) Difference Algorithm and Its Variations",
+Algorithmica 1, 2 (1986), 251-266.
+
+and should be the same algorithm used by GNU diff.  The implementation used here is a heavily modified version of Michael B. Allen's diff program from the [`libmba`](http://www.ioplex.com/~miallen/libmba/dl/libmba-0.9.1.tar.gz) `C`
+library.  Any and all bugs in the C code in this package were most likely introduced by yours truly.  Please note that the resulting C code is incompatible with the original `libmba` library.
+
+## Performance Considerations
+
+### Diff
+
+The diff algorithm scales with the _square_ of the number of _differences_.  For
+reasonably small diffs (< 10K differences), the diff itself is unlikely to be
+the bottleneck.
+
+### Capture and Processing
+
+Capture of inputs for `diffPrint` and `diffStr`, and processing of output for
+all `diff*` methods will account for most of the execution time unless you have
+large numbers of differences.  This input and output processing scales mostly
+linearly with the input size.
+
+You can improve performance somewhat by using `diffChr` since that skips the
+capture part, and by turning off `word.diff`:
+
+```{r, eval=FALSE}
+v1 <- 1:5e4
+v2 <- v1[-sample(v1, 100)]
+diffChr(v1, v2, word.diff=FALSE)
+```
+
+will be ~2x as fast as:
+
+```{r, eval=FALSE}
+diffPrint(v1, v2)
+```
+
+*Note*: turning off `word.diff` when using `diffPrint` with unnamed atomic
+vectors can actually _slow down_ the diff because there may well be fewer
+element by element differences than line differences as displayed.   For
+example, when comparing `1:1e6` to `2:1e6` there is only one element difference,
+but every line as displayed is different because of the shift.  Using
+`word.diff=TRUE` (and `unwrap.atomic=TRUE`) allows `diffPrint` to compare
+element by element rather than line by line.  `diffChr` always compares element
+by element.
+
+### Minimal Diff
+
+If you are looking for the fastest possible diff you can use `ses` and
+completely bypass most input and output processing.  Inputs will be coerced to
+character if they are not character.
+
+```{r}
+ses(letters[1:5], letters[c(2:3, 5)])
+```
+
+This will be 10-20x faster than `diffChr`, at the cost of less useful output.
+
+```{r, echo=FALSE}
+options(old.opt)
+```
+
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/diffobj/doc/diffobj.html
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/diffobj/doc/diffobj.html	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/diffobj/doc/diffobj.html	(revision 3761)
@@ -0,0 +1,796 @@
+<!DOCTYPE html>
+
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+
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+<meta name="generator" content="pandoc" />
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+
+<meta name="viewport" content="width=device-width, initial-scale=1" />
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+<meta name="author" content="Brodie Gaslam" />
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+width: 100%;
+display: table;
+table-layout: auto;
+}
+DIV.diffobj-container DIV.diffobj-line.banner>DIV {
+display: table;
+table-layout: auto; 
+}
+DIV.diffobj-container DIV.diffobj-text {
+display: table-cell;
+width: 100%;
+}
+DIV.diffobj-container DIV.diffobj-gutter {
+display: table-cell;
+padding: 0 0.2em;
+}
+DIV.diffobj-container DIV.diffobj-gutter DIV {
+display: table-cell;
+}
+#diffobj_content_meta DIV.diffobj-container DIV.diffobj-row {
+width: auto;
+}
+#diffobj_banner_meta DIV.diffobj-container DIV.diffobj-line.banner>DIV {
+table-layout: auto;
+}
+#diffobj_outer {
+overflow: hidden;
+}
+ DIV.diffobj-container DIV.diffobj-summary DIV.map {
+word-wrap: break-word;
+padding-left: 1em;
+}
+DIV.diffobj-container DIV.diffobj-summary DIV.detail {
+padding-left: 1em;
+}
+
+DIV.diffobj-container DIV.diffobj-line.banner {
+font-size: 1.2em;
+font-weight: bold;
+overflow: hidden;
+}
+
+DIV.diffobj-container DIV.diffobj-line.banner DIV.diffobj-text DIV{
+white-space: nowrap;
+overflow: hidden;
+text-overflow: ellipsis;
+width: 100%; 
+}
+DIV.diffobj-container DIV.diffobj-gutter,
+DIV.diffobj-container DIV.diffobj-guide,
+DIV.diffobj-container DIV.diffobj-fill,
+DIV.diffobj-container DIV.context_sep,
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+color: #999;
+}
+DIV.diffobj-container DIV.diffobj-header {
+font-size: 1.1em;
+}
+DIV.diffobj-container DIV.diffobj-text>DIV.diffobj-match,
+DIV.diffobj-container DIV.diffobj-text>DIV.diffobj-guide {
+background-color: #ffffff;
+}
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+background-color: transparent;
+}
+DIV.diffobj-container DIV.diffobj-text>DIV {
+padding-right: 3px;
+}
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+border-left: 1px solid #888888;
+}
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+background-color: #eeeeee;
+}
+DIV.diffobj-container DIV.diffobj-text>DIV,
+DIV.diffobj-container DIV.diffobj-header {
+padding-left: 0.5em;
+}
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+DIV.diffobj-container DIV.diffobj-line>DIV.diffobj-fill,
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+border-left: 1px solid #888888;
+}
+
+DIV.diffobj-container.light.rgb SPAN.diffobj-word.insert,
+DIV.diffobj-container.light.rgb DIV.diffobj-line>DIV.insert {
+background-color: #a6f3a6;
+}
+DIV.diffobj-container.light.rgb SPAN.diffobj-word.delete,
+DIV.diffobj-container.light.rgb DIV.diffobj-line>DIV.delete {
+background-color: #f8c2c2;
+}
+DIV.diffobj-container.light.rgb DIV.diffobj-text>DIV.insert {
+background-color: #efffef;
+}
+DIV.diffobj-container.light.rgb DIV.diffobj-text>DIV.insert,
+DIV.diffobj-container.light.rgb DIV.diffobj-line>DIV.insert {
+border-left: 1px solid #33bb33;
+}
+DIV.diffobj-container.light.rgb DIV.diffobj-text>DIV.delete {
+background-color: #ffefef;
+}
+DIV.diffobj-container.light.rgb DIV.diffobj-text>DIV.delete,
+DIV.diffobj-container.light.rgb DIV.diffobj-line>DIV.delete {
+border-left: 1px solid #cc6666;
+}
+DIV.diffobj-container.light.rgb DIV.diffobj-header {
+background-color: #e0e6fa;
+border-left: 1px solid #9894b6;
+}
+
+DIV.diffobj-container.light.yb SPAN.diffobj-word.insert,
+DIV.diffobj-container.light.yb DIV.diffobj-line>DIV.insert {
+background-color: #c0cfff;
+}
+DIV.diffobj-container.light.yb SPAN.diffobj-word.delete,
+DIV.diffobj-container.light.yb DIV.diffobj-line>DIV.delete {
+background-color: #e7e780;
+}
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+background-color: #efefff;
+}
+DIV.diffobj-container.light.yb DIV.diffobj-text>DIV.insert,
+DIV.diffobj-container.light.yb DIV.diffobj-line>DIV.insert {
+border-left: 1px solid #3333bb;
+}
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+background-color: #fefee5;
+}
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+DIV.diffobj-container.light.yb DIV.diffobj-line>DIV.delete {
+border-left: 1px solid #aaaa55;
+}
+DIV.diffobj-container.light.yb DIV.diffobj-header {
+background-color: #afafaf;
+border-left: 1px solid #e3e3e3;
+color: #e9e9e9;
+}
+DIV.diffobj-container.light.yb DIV.diffobj-line {
+background-color: #eeeeee;
+}
+</style>
+<style type="text/css">
+body {
+background-color: #fff;
+margin: 1em auto;
+max-width: 700px;
+overflow: visible;
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+padding-right: 2em;
+font-family: "Open Sans", "Helvetica Neue", Helvetica, Arial, sans-serif;
+font-size: 14px;
+line-height: 1.5;
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+text-align: center;
+}
+#TOC {
+clear: both;
+
+padding: 4px;
+width: 100%;
+border: 1px solid #CCCCCC;
+border-radius: 5px;
+background-color: #f6f6f6;
+font-size: 13px;
+line-height: 1.3;
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+#TOC .toctitle {
+font-weight: bold;
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+margin-bottom: 13px;
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+font-weight: bold;
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+ul {
+margin-top: 0;
+}
+ul li {
+list-style: circle outside;
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+ul ul {
+margin-bottom: 0;
+}
+h3.subtitle {
+margin-top: -23px;
+}
+pre, code {
+background-color: #EEE;
+color: #333;
+
+}
+pre {
+border: 2px solid #EEE;
+overflow: auto;
+white-space: pre-wrap; 
+
+margin: 5px 0px;
+padding: 5px 10px;
+font-size: 85%;
+}
+pre:not([class]) {
+color: #353;
+
+}
+div.sourceCode pre, div.sourceCode code {
+background-color: #FAFAFA;
+}
+div.sourceCode pre{
+
+}
+div.sourceCode + pre,
+div.sourceCode + div.diffobj-container {
+margin-top: -5px;
+}
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+line-height: 1.3;
+}
+
+code {
+font-family: Consolas, Monaco, 'Courier New', monospace;
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+text-align: center;
+}
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+padding-bottom: 2px;
+font-size: 145%;
+}
+h3 {
+padding-top: 5px;
+font-size: 120%;
+}
+h4 {
+
+color: #777;
+font-size: 105%;
+}
+h4.author, h4.date {display: none;}
+h5, h6 {
+
+font-size: 105%;
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+a {
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+a:visited {
+color: #800080; }
+a:visited:hover {
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+a[href^="http:"] {
+text-decoration: underline; }
+a[href^="https:"] {
+text-decoration: underline; }
+
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+code > span.ot { color: #007020; } 
+code > span.al { color: #ff0000; font-weight: bold; } 
+code > span.fu { color: #900; font-weight: bold; } 
+code > span.er { color: #a61717; background-color: #e3d2d2; } 
+</style>
+
+
+
+
+</head>
+
+<body>
+
+
+
+
+<h1 class="title toc-ignore">diffobj - Diffs for R Objects</h1>
+<h4 class="author">Brodie Gaslam</h4>
+
+
+<div id="TOC">
+<ul>
+<li><a href="#introduction">Introduction</a></li>
+<li><a href="#interpreting-diffs">Interpreting Diffs</a><ul>
+<li><a href="#shortest-edit-script">Shortest Edit Script</a></li>
+<li><a href="#diff-structure">Diff Structure</a></li>
+<li><a href="#atomic-vectors">Atomic Vectors</a></li>
+</ul></li>
+<li><a href="#other-diff-functions">Other Diff Functions</a><ul>
+<li><a href="#method-overview">Method Overview</a></li>
+<li><a href="#compare-structure-with-diffstr">Compare Structure with <code>diffStr</code></a></li>
+<li><a href="#compare-vectors-elements-with-diffchr">Compare Vectors Elements with <code>diffChr</code></a></li>
+<li><a href="#why-s4">Why S4?</a></li>
+<li><a href="#return-value">Return Value</a></li>
+</ul></li>
+<li><a href="#controlling-diffs-and-their-appearance">Controlling Diffs and Their Appearance</a><ul>
+<li><a href="#parameters">Parameters</a></li>
+<li><a href="#display-mode">Display Mode</a></li>
+<li><a href="#color-mode">Color Mode</a></li>
+<li><a href="#output-formats">Output Formats</a></li>
+<li><a href="#brightness">Brightness</a></li>
+<li><a href="#pagers">Pagers</a></li>
+<li><a href="#styles">Styles</a></li>
+</ul></li>
+<li><a href="#diff-algorithm">Diff Algorithm</a></li>
+<li><a href="#performance-considerations">Performance Considerations</a><ul>
+<li><a href="#diff">Diff</a></li>
+<li><a href="#capture-and-processing">Capture and Processing</a></li>
+<li><a href="#minimal-diff">Minimal Diff</a></li>
+</ul></li>
+</ul>
+</div>
+
+<div id="introduction" class="section level2">
+<h2>Introduction</h2>
+<p><code>diffobj</code> uses the same comparison mechanism used by <code>git diff</code> and <code>diff</code> to highlight differences between <em>rendered</em> R objects:</p>
+<div class="sourceCode" id="cb1"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb1-1" data-line-number="1">a &lt;-<span class="st"> </span>b &lt;-<span class="st"> </span><span class="kw">matrix</span>(<span class="dv">1</span><span class="op">:</span><span class="dv">100</span>, <span class="dt">ncol=</span><span class="dv">2</span>)</a>
+<a class="sourceLine" id="cb1-2" data-line-number="2">a &lt;-<span class="st"> </span>a[<span class="op">-</span><span class="dv">20</span>,]</a>
+<a class="sourceLine" id="cb1-3" data-line-number="3">b &lt;-<span class="st"> </span>b[<span class="op">-</span><span class="dv">45</span>,]</a>
+<a class="sourceLine" id="cb1-4" data-line-number="4">b[<span class="kw">c</span>(<span class="dv">18</span>, <span class="dv">44</span>)] &lt;-<span class="st"> </span><span class="dv">999</span></a>
+<a class="sourceLine" id="cb1-5" data-line-number="5"><span class="kw">diffPrint</span>(<span class="dt">target=</span>a, <span class="dt">current=</span>b)</a></code></pre></div>
+<div class="diffobj-container light yb">
+<pre class="diffobj-content"><div class="diffobj-row"><div class="diffobj-line banner"><div class="delete"><div class="diffobj-gutter"><div class="delete">&lt;</div><div class="pad"> </div></div><div class="diffobj-text"><div class="delete"><span class="diffobj-word delete">a</span></div></div></div></div><div class="diffobj-line banner"><div class="insert"><div class="diffobj-gutter"><div class="insert">&gt;</div><div class="pad"> </div></div><div class="diffobj-text"><div class="insert"><span class="diffobj-word insert">b</span></div></div></div></div></div><div class="diffobj-row"><div class="diffobj-line"><div class="diffobj-header">@@ 17,6 @@</div></div><div class="diffobj-line"><div class="diffobj-header">@@ 17,7 @@</div></div></div><div class="diffobj-row"><div class="diffobj-line"><div class="diffobj-guide"><div class="diffobj-gutter"><div class="diffobj-guide">~</div><div class="pad"> </div></div><div class="diffobj-text"><div class="diffobj-guide"><span class="diffobj-trim"></span>      [,1] [,2]<span class="diffobj-trim"></span></div></div></div></div><div class="diffobj-line"><div class="diffobj-guide"><div class="diffobj-gutter"><div class="diffobj-guide">~</div><div class="pad"> </div></div><div class="diffobj-text"><div class="diffobj-guide"><span class="diffobj-trim"></span>      [,1] [,2]<span class="diffobj-trim"></span></div></div></div></div></div><div class="diffobj-row"><div class="diffobj-line"><div class="diffobj-match"><div class="diffobj-gutter"><div class="diffobj-match">Â </div><div class="pad"> </div></div><div class="diffobj-text"><div class="diffobj-match"><span class="diffobj-trim">[16,] </span>  16   66<span class="diffobj-trim"></span></div></div></div></div><div class="diffobj-line"><div class="diffobj-match"><div class="diffobj-gutter"><div class="diffobj-match">Â </div><div class="pad"> </div></div><div class="diffobj-text"><div class="diffobj-match"><span class="diffobj-trim">[16,] </span>  16   66<span class="diffobj-trim"></span></div></div></div></div></div><div class="diffobj-row"><div class="diffobj-line"><div class="diffobj-match"><div class="diffobj-gutter"><div class="diffobj-match">Â </div><div class="pad"> </div></div><div class="diffobj-text"><div class="diffobj-match"><span class="diffobj-trim">[17,] </span>  17   67<span class="diffobj-trim"></span></div></div></div></div><div class="diffobj-line"><div class="diffobj-match"><div class="diffobj-gutter"><div class="diffobj-match">Â </div><div class="pad"> </div></div><div class="diffobj-text"><div class="diffobj-match"><span class="diffobj-trim">[17,] </span>  17   67<span class="diffobj-trim"></span></div></div></div></div></div><div class="diffobj-row"><div class="diffobj-line"><div class="delete"><div class="diffobj-gutter"><div class="delete">&lt;</div><div class="pad"> </div></div><div class="diffobj-text"><div class="delete"><span class="diffobj-trim">[18,] </span>  <span class="diffobj-word delete">18</span>   68<span class="diffobj-trim"></span></div></div></div></div><div class="diffobj-line"><div class="insert"><div class="diffobj-gutter"><div class="insert">&gt;</div><div class="pad"> </div></div><div class="diffobj-text"><div class="insert"><span class="diffobj-trim">[18,] </span> <span class="diffobj-word insert">999</span>   68<span class="diffobj-trim"></span></div></div></div></div></div><div class="diffobj-row"><div class="diffobj-line"><div class="diffobj-match"><div class="diffobj-gutter"><div class="diffobj-match">Â </div><div class="pad"> </div></div><div class="diffobj-text"><div class="diffobj-match"><span class="diffobj-trim">[19,] </span>  19   69<span class="diffobj-trim"></span></div></div></div></div><div class="diffobj-line"><div class="diffobj-match"><div class="diffobj-gutter"><div class="diffobj-match">Â </div><div class="pad"> </div></div><div class="diffobj-text"><div class="diffobj-match"><span class="diffobj-trim">[19,] </span>  19   69<span class="diffobj-trim"></span></div></div></div></div></div><div class="diffobj-row"><div class="diffobj-line"><div class="diffobj-fill"><div class="diffobj-gutter"><div class="diffobj-fill">~</div><div class="pad"> </div></div><div class="diffobj-text"><div class="diffobj-fill"></div></div></div></div><div class="diffobj-line"><div class="insert"><div class="diffobj-gutter"><div class="insert">&gt;</div><div class="pad"> </div></div><div class="diffobj-text"><div class="insert"><span class="diffobj-trim">[20,] </span>  <span class="diffobj-word insert">20</span>   <span class="diffobj-word insert">70</span><span class="diffobj-trim"></span></div></div></div></div></div><div class="diffobj-row"><div class="diffobj-line"><div class="diffobj-match"><div class="diffobj-gutter"><div class="diffobj-match">Â </div><div class="pad"> </div></div><div class="diffobj-text"><div class="diffobj-match"><span class="diffobj-trim">[20,] </span>  21   71<span class="diffobj-trim"></span></div></div></div></div><div class="diffobj-line"><div class="diffobj-match"><div class="diffobj-gutter"><div class="diffobj-match">Â </div><div class="pad"> </div></div><div class="diffobj-text"><div class="diffobj-match"><span class="diffobj-trim">[21,] </span>  21   71<span class="diffobj-trim"></span></div></div></div></div></div><div class="diffobj-row"><div class="diffobj-line"><div class="diffobj-match"><div class="diffobj-gutter"><div class="diffobj-match">Â </div><div class="pad"> </div></div><div class="diffobj-text"><div class="diffobj-match"><span class="diffobj-trim">[21,] </span>  22   72<span class="diffobj-trim"></span></div></div></div></div><div class="diffobj-line"><div class="diffobj-match"><div class="diffobj-gutter"><div class="diffobj-match">Â </div><div class="pad"> </div></div><div class="diffobj-text"><div class="diffobj-match"><span class="diffobj-trim">[22,] </span>  22   72<span class="diffobj-trim"></span></div></div></div></div></div><div class="diffobj-row"><div class="diffobj-line"><div class="diffobj-header">@@ 42,6 @@</div></div><div class="diffobj-line"><div class="diffobj-header">@@ 43,5 @@</div></div></div><div class="diffobj-row"><div class="diffobj-line"><div class="diffobj-match"><div class="diffobj-gutter"><div class="diffobj-match">Â </div><div class="pad"> </div></div><div class="diffobj-text"><div class="diffobj-match"><span class="diffobj-trim">[41,] </span>  42   92<span class="diffobj-trim"></span></div></div></div></div><div class="diffobj-line"><div class="diffobj-match"><div class="diffobj-gutter"><div class="diffobj-match">Â </div><div class="pad"> </div></div><div class="diffobj-text"><div class="diffobj-match"><span class="diffobj-trim">[42,] </span>  42   92<span class="diffobj-trim"></span></div></div></div></div></div><div class="diffobj-row"><div class="diffobj-line"><div class="diffobj-match"><div class="diffobj-gutter"><div class="diffobj-match">Â </div><div class="pad"> </div></div><div class="diffobj-text"><div class="diffobj-match"><span class="diffobj-trim">[42,] </span>  43   93<span class="diffobj-trim"></span></div></div></div></div><div class="diffobj-line"><div class="diffobj-match"><div class="diffobj-gutter"><div class="diffobj-match">Â </div><div class="pad"> </div></div><div class="diffobj-text"><div class="diffobj-match"><span class="diffobj-trim">[43,] </span>  43   93<span class="diffobj-trim"></span></div></div></div></div></div><div class="diffobj-row"><div class="diffobj-line"><div class="delete"><div class="diffobj-gutter"><div class="delete">&lt;</div><div class="pad"> </div></div><div class="diffobj-text"><div class="delete"><span class="diffobj-trim">[43,] </span>  <span class="diffobj-word delete">44</span>   94<span class="diffobj-trim"></span></div></div></div></div><div class="diffobj-line"><div class="insert"><div class="diffobj-gutter"><div class="insert">&gt;</div><div class="pad"> </div></div><div class="diffobj-text"><div class="insert"><span class="diffobj-trim">[44,] </span> <span class="diffobj-word insert">999</span>   94<span class="diffobj-trim"></span></div></div></div></div></div><div class="diffobj-row"><div class="diffobj-line"><div class="delete"><div class="diffobj-gutter"><div class="delete">&lt;</div><div class="pad"> </div></div><div class="diffobj-text"><div class="delete"><span class="diffobj-trim">[44,] </span>  <span class="diffobj-word delete">45</span>   <span class="diffobj-word delete">95</span><span class="diffobj-trim"></span></div></div></div></div><div class="diffobj-line"><div class="diffobj-fill"><div class="diffobj-gutter"><div class="diffobj-fill">~</div><div class="pad"> </div></div><div class="diffobj-text"><div class="diffobj-fill"></div></div></div></div></div><div class="diffobj-row"><div class="diffobj-line"><div class="diffobj-match"><div class="diffobj-gutter"><div class="diffobj-match">Â </div><div class="pad"> </div></div><div class="diffobj-text"><div class="diffobj-match"><span class="diffobj-trim">[45,] </span>  46   96<span class="diffobj-trim"></span></div></div></div></div><div class="diffobj-line"><div class="diffobj-match"><div class="diffobj-gutter"><div class="diffobj-match">Â </div><div class="pad"> </div></div><div class="diffobj-text"><div class="diffobj-match"><span class="diffobj-trim">[45,] </span>  46   96<span class="diffobj-trim"></span></div></div></div></div></div><div class="diffobj-row"><div class="diffobj-line"><div class="diffobj-match"><div class="diffobj-gutter"><div class="diffobj-match">Â </div><div class="pad"> </div></div><div class="diffobj-text"><div class="diffobj-match"><span class="diffobj-trim">[46,] </span>  47   97<span class="diffobj-trim"></span></div></div></div></div><div class="diffobj-line"><div class="diffobj-match"><div class="diffobj-gutter"><div class="diffobj-match">Â </div><div class="pad"> </div></div><div class="diffobj-text"><div class="diffobj-match"><span class="diffobj-trim">[46,] </span>  47   97<span class="diffobj-trim"></span></div></div></div></div></div></pre>
+</div>
+<p><code>diffobj</code> comparisons work best when objects have some similarities, or when they are relatively small. The package was originally developed to help diagnose failed unit tests by comparing test results to reference objects in a human-friendly manner.</p>
+<p>If your terminal supports formatting through ANSI escape sequences, <code>diffobj</code> will output colored diffs to the terminal. If not, it will output colored diffs to your IDE viewport if it is supported, or to your browser otherwise.</p>
+</div>
+<div id="interpreting-diffs" class="section level2">
+<h2>Interpreting Diffs</h2>
+<div id="shortest-edit-script" class="section level3">
+<h3>Shortest Edit Script</h3>
+<p>The output from <code>diffobj</code> is a visual representation of the Shortest Edit Script (SES). An SES is the shortest set of deletion and insertion instructions for converting one sequence of elements into another. In our case, the elements are lines of text. We encode the instructions to convert <code>a</code> to <code>b</code> by deleting lines from <code>a</code> (in yellow) and inserting new ones from <code>b</code> (in blue).</p>
+</div>
+<div id="diff-structure" class="section level3">
+<h3>Diff Structure</h3>
+<p>The first line of our diff output acts as a legend to the diff by associating the colors and symbols used to represent differences present in each object with the name of the object:</p>
+<div class="diffobj-container light yb">
+<pre class="diffobj-content"><div class="diffobj-row"><div class="diffobj-line banner"><div class="delete"><div class="diffobj-gutter"><div class="delete">&lt;</div><div class="pad"> </div></div><div class="diffobj-text"><div class="delete"><span class="diffobj-word delete">a</span></div></div></div></div><div class="diffobj-line banner"><div class="insert"><div class="diffobj-gutter"><div class="insert">&gt;</div><div class="pad"> </div></div><div class="diffobj-text"><div class="insert"><span class="diffobj-word insert">b</span></div></div></div></div></div></pre>
+</div>
+<p>After the legend come the hunks, which are portions of the objects that have differences with nearby matching lines provided for context:</p>
+<div class="diffobj-container light yb">
+<pre class="diffobj-content"><div class="diffobj-row"><div class="diffobj-line"><div class="diffobj-header">@@ 17,6 @@</div></div><div class="diffobj-line"><div class="diffobj-header">@@ 17,7 @@</div></div></div><div class="diffobj-row"><div class="diffobj-line"><div class="diffobj-guide"><div class="diffobj-gutter"><div class="diffobj-guide">~</div><div class="pad"> </div></div><div class="diffobj-text"><div class="diffobj-guide"><span class="diffobj-trim"></span>      [,1] [,2]<span class="diffobj-trim"></span></div></div></div></div><div class="diffobj-line"><div class="diffobj-guide"><div class="diffobj-gutter"><div class="diffobj-guide">~</div><div class="pad"> </div></div><div class="diffobj-text"><div class="diffobj-guide"><span class="diffobj-trim"></span>      [,1] [,2]<span class="diffobj-trim"></span></div></div></div></div></div><div class="diffobj-row"><div class="diffobj-line"><div class="diffobj-match"><div class="diffobj-gutter"><div class="diffobj-match">Â </div><div class="pad"> </div></div><div class="diffobj-text"><div class="diffobj-match"><span class="diffobj-trim">[16,] </span>  16   66<span class="diffobj-trim"></span></div></div></div></div><div class="diffobj-line"><div class="diffobj-match"><div class="diffobj-gutter"><div class="diffobj-match">Â </div><div class="pad"> </div></div><div class="diffobj-text"><div class="diffobj-match"><span class="diffobj-trim">[16,] </span>  16   66<span class="diffobj-trim"></span></div></div></div></div></div><div class="diffobj-row"><div class="diffobj-line"><div class="diffobj-match"><div class="diffobj-gutter"><div class="diffobj-match">Â </div><div class="pad"> </div></div><div class="diffobj-text"><div class="diffobj-match"><span class="diffobj-trim">[17,] </span>  17   67<span class="diffobj-trim"></span></div></div></div></div><div class="diffobj-line"><div class="diffobj-match"><div class="diffobj-gutter"><div class="diffobj-match">Â </div><div class="pad"> </div></div><div class="diffobj-text"><div class="diffobj-match"><span class="diffobj-trim">[17,] </span>  17   67<span class="diffobj-trim"></span></div></div></div></div></div><div class="diffobj-row"><div class="diffobj-line"><div class="delete"><div class="diffobj-gutter"><div class="delete">&lt;</div><div class="pad"> </div></div><div class="diffobj-text"><div class="delete"><span class="diffobj-trim">[18,] </span>  <span class="diffobj-word delete">18</span>   68<span class="diffobj-trim"></span></div></div></div></div><div class="diffobj-line"><div class="insert"><div class="diffobj-gutter"><div class="insert">&gt;</div><div class="pad"> </div></div><div class="diffobj-text"><div class="insert"><span class="diffobj-trim">[18,] </span> <span class="diffobj-word insert">999</span>   68<span class="diffobj-trim"></span></div></div></div></div></div><div class="diffobj-row"><div class="diffobj-line"><div class="diffobj-match"><div class="diffobj-gutter"><div class="diffobj-match">Â </div><div class="pad"> </div></div><div class="diffobj-text"><div class="diffobj-match"><span class="diffobj-trim">[19,] </span>  19   69<span class="diffobj-trim"></span></div></div></div></div><div class="diffobj-line"><div class="diffobj-match"><div class="diffobj-gutter"><div class="diffobj-match">Â </div><div class="pad"> </div></div><div class="diffobj-text"><div class="diffobj-match"><span class="diffobj-trim">[19,] </span>  19   69<span class="diffobj-trim"></span></div></div></div></div></div><div class="diffobj-row"><div class="diffobj-line"><div class="diffobj-fill"><div class="diffobj-gutter"><div class="diffobj-fill">~</div><div class="pad"> </div></div><div class="diffobj-text"><div class="diffobj-fill"></div></div></div></div><div class="diffobj-line"><div class="insert"><div class="diffobj-gutter"><div class="insert">&gt;</div><div class="pad"> </div></div><div class="diffobj-text"><div class="insert"><span class="diffobj-trim">[20,] </span>  <span class="diffobj-word insert">20</span>   <span class="diffobj-word insert">70</span><span class="diffobj-trim"></span></div></div></div></div></div><div class="diffobj-row"><div class="diffobj-line"><div class="diffobj-match"><div class="diffobj-gutter"><div class="diffobj-match">Â </div><div class="pad"> </div></div><div class="diffobj-text"><div class="diffobj-match"><span class="diffobj-trim">[20,] </span>  21   71<span class="diffobj-trim"></span></div></div></div></div><div class="diffobj-line"><div class="diffobj-match"><div class="diffobj-gutter"><div class="diffobj-match">Â </div><div class="pad"> </div></div><div class="diffobj-text"><div class="diffobj-match"><span class="diffobj-trim">[21,] </span>  21   71<span class="diffobj-trim"></span></div></div></div></div></div><div class="diffobj-row"><div class="diffobj-line"><div class="diffobj-match"><div class="diffobj-gutter"><div class="diffobj-match">Â </div><div class="pad"> </div></div><div class="diffobj-text"><div class="diffobj-match"><span class="diffobj-trim">[21,] </span>  22   72<span class="diffobj-trim"></span></div></div></div></div><div class="diffobj-line"><div class="diffobj-match"><div class="diffobj-gutter"><div class="diffobj-match">Â </div><div class="pad"> </div></div><div class="diffobj-text"><div class="diffobj-match"><span class="diffobj-trim">[22,] </span>  22   72<span class="diffobj-trim"></span></div></div></div></div></div></pre>
+</div>
+<p>At the top of the hunk is the hunk header: this tells us that the first displayed hunk (including context lines), starts at line 17 and spans 6 lines for <code>a</code> and 7 for <code>b</code>. These are display lines, not object row indices, which is why the first row shown of the matrix is row 16. You might have also noticed that the line after the hunk header is out of place:</p>
+<div class="diffobj-container light yb">
+<pre class="diffobj-content"><div class="diffobj-row"><div class="diffobj-line"><div class="diffobj-guide"><div class="diffobj-gutter"><div class="diffobj-guide">~</div><div class="pad"> </div></div><div class="diffobj-text"><div class="diffobj-guide"><span class="diffobj-trim"></span>      [,1] [,2]<span class="diffobj-trim"></span></div></div></div></div><div class="diffobj-line"><div class="diffobj-guide"><div class="diffobj-gutter"><div class="diffobj-guide">~</div><div class="pad"> </div></div><div class="diffobj-text"><div class="diffobj-guide"><span class="diffobj-trim"></span>      [,1] [,2]<span class="diffobj-trim"></span></div></div></div></div></div></pre>
+</div>
+<p>This is a special context line that is not technically part of the hunk, but is shown nonetheless because it is useful in helping understand the data. The line is styled differently to highlight that it is not part of the hunk. Since it is not part of the hunk, it is not accounted for in the hunk header. See <code>?guideLines</code> for more details.</p>
+<p>The actual mismatched lines are highlighted in the colors of the legend, with additional visual cues in the gutters:</p>
+<div class="diffobj-container light yb">
+<pre class="diffobj-content"><div class="diffobj-row"><div class="diffobj-line"><div class="delete"><div class="diffobj-gutter"><div class="delete">&lt;</div><div class="pad"> </div></div><div class="diffobj-text"><div class="delete"><span class="diffobj-trim">[18,] </span>  <span class="diffobj-word delete">18</span>   68<span class="diffobj-trim"></span></div></div></div></div><div class="diffobj-line"><div class="insert"><div class="diffobj-gutter"><div class="insert">&gt;</div><div class="pad"> </div></div><div class="diffobj-text"><div class="insert"><span class="diffobj-trim">[18,] </span> <span class="diffobj-word insert">999</span>   68<span class="diffobj-trim"></span></div></div></div></div></div><div class="diffobj-row"><div class="diffobj-line"><div class="diffobj-match"><div class="diffobj-gutter"><div class="diffobj-match">Â </div><div class="pad"> </div></div><div class="diffobj-text"><div class="diffobj-match"><span class="diffobj-trim">[19,] </span>  19   69<span class="diffobj-trim"></span></div></div></div></div><div class="diffobj-line"><div class="diffobj-match"><div class="diffobj-gutter"><div class="diffobj-match">Â </div><div class="pad"> </div></div><div class="diffobj-text"><div class="diffobj-match"><span class="diffobj-trim">[19,] </span>  19   69<span class="diffobj-trim"></span></div></div></div></div></div><div class="diffobj-row"><div class="diffobj-line"><div class="diffobj-fill"><div class="diffobj-gutter"><div class="diffobj-fill">~</div><div class="pad"> </div></div><div class="diffobj-text"><div class="diffobj-fill"></div></div></div></div><div class="diffobj-line"><div class="insert"><div class="diffobj-gutter"><div class="insert">&gt;</div><div class="pad"> </div></div><div class="diffobj-text"><div class="insert"><span class="diffobj-trim">[20,] </span>  <span class="diffobj-word insert">20</span>   <span class="diffobj-word insert">70</span><span class="diffobj-trim"></span></div></div></div></div></div><div class="diffobj-row"><div class="diffobj-line"><div class="diffobj-match"><div class="diffobj-gutter"><div class="diffobj-match">Â </div><div class="pad"> </div></div><div class="diffobj-text"><div class="diffobj-match"><span class="diffobj-trim">[20,] </span>  21   71<span class="diffobj-trim"></span></div></div></div></div><div class="diffobj-line"><div class="diffobj-match"><div class="diffobj-gutter"><div class="diffobj-match">Â </div><div class="pad"> </div></div><div class="diffobj-text"><div class="diffobj-match"><span class="diffobj-trim">[21,] </span>  21   71<span class="diffobj-trim"></span></div></div></div></div></div></pre>
+</div>
+<p><code>diffobj</code> uses a line by line diff to identify which portions of each of the objects are mismatches, so even if only part of a line mismatches it will be considered different. <code>diffobj</code> then runs a word diff within the hunks and further highlights mismatching words.</p>
+<p>Letâ€™s examine the last two lines from the previous hunk more closely:</p>
+<div class="diffobj-container light yb">
+<pre class="diffobj-content"><div class="diffobj-row"><div class="diffobj-line"><div class="diffobj-fill"><div class="diffobj-gutter"><div class="diffobj-fill">~</div><div class="pad"> </div></div><div class="diffobj-text"><div class="diffobj-fill"></div></div></div></div><div class="diffobj-line"><div class="insert"><div class="diffobj-gutter"><div class="insert">&gt;</div><div class="pad"> </div></div><div class="diffobj-text"><div class="insert"><span class="diffobj-trim">[20,] </span>  <span class="diffobj-word insert">20</span>   <span class="diffobj-word insert">70</span><span class="diffobj-trim"></span></div></div></div></div></div><div class="diffobj-row"><div class="diffobj-line"><div class="diffobj-match"><div class="diffobj-gutter"><div class="diffobj-match">Â </div><div class="pad"> </div></div><div class="diffobj-text"><div class="diffobj-match"><span class="diffobj-trim">[20,] </span>  21   71<span class="diffobj-trim"></span></div></div></div></div><div class="diffobj-line"><div class="diffobj-match"><div class="diffobj-gutter"><div class="diffobj-match">Â </div><div class="pad"> </div></div><div class="diffobj-text"><div class="diffobj-match"><span class="diffobj-trim">[21,] </span>  21   71<span class="diffobj-trim"></span></div></div></div></div></div></pre>
+</div>
+<p>Here <code>b</code> has an extra line so <code>diffobj</code> adds an empty line to <code>a</code> to maintain the alignment for subsequent matching lines. This additional line is marked with a tilde in the gutter and is shown in a different color to indicate it is not part of the original text.</p>
+<p>If you look closely at the next matching line you will notice that the <code>a</code> and <code>b</code> values are not exactly the same. The row indices are different, but <code>diffobj</code> excludes row indices from the diff so that rows that are identical otherwise are shown as matching. <code>diffobj</code> indicates this is happening by showing the portions of a line that are ignored in the diff in grey.</p>
+<p>See <code>?guides</code> and <code>?trim</code> for details and limitations on guideline detection and unsemantic meta data trimming.</p>
+</div>
+<div id="atomic-vectors" class="section level3">
+<h3>Atomic Vectors</h3>
+<p>Since R can display multiple elements in an atomic vector on the same line, and <code>diffPrint</code> is fundamentally a line diff, we use specialized logic when diffing atomic vectors. Consider:</p>
+<div class="sourceCode" id="cb2"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb2-1" data-line-number="1">state.abb2 &lt;-<span class="st"> </span>state.abb[<span class="op">-</span><span class="dv">16</span>]</a>
+<a class="sourceLine" id="cb2-2" data-line-number="2">state.abb2[<span class="dv">37</span>] &lt;-<span class="st"> &quot;Pennsylvania&quot;</span></a>
+<a class="sourceLine" id="cb2-3" data-line-number="3"><span class="kw">diffPrint</span>(state.abb, state.abb2)</a></code></pre></div>
+<div class="diffobj-container light yb">
+<pre class="diffobj-content"><div class="diffobj-row"><div class="diffobj-line banner"><div class="delete"><div class="diffobj-gutter"><div class="delete">&lt;</div><div class="pad"> </div></div><div class="diffobj-text"><div class="delete"><span class="diffobj-word delete">state.abb</span></div></div></div></div><div class="diffobj-line banner"><div class="insert"><div class="diffobj-gutter"><div class="insert">&gt;</div><div class="pad"> </div></div><div class="diffobj-text"><div class="insert"><span class="diffobj-word insert">state.abb2</span></div></div></div></div></div><div class="diffobj-row"><div class="diffobj-line"><div class="diffobj-header">@@ 1,5 @@</div></div><div class="diffobj-line"><div class="diffobj-header">@@ 6,5 @@</div></div></div><div class="diffobj-row"><div class="diffobj-line"><div class="diffobj-match"><div class="diffobj-gutter"><div class="diffobj-match">Â </div><div class="pad"> </div></div><div class="diffobj-text"><div class="diffobj-match"><span class="diffobj-trim"> [1] </span>&quot;AL&quot; &quot;AK&quot; &quot;AZ&quot; &quot;AR&quot; &quot;CA&quot; &quot;CO&quot;<span class="diffobj-trim"></span></div></div></div></div><div class="diffobj-line"><div class="diffobj-match"><div class="diffobj-gutter"><div class="diffobj-match">Â </div><div class="pad"> </div></div><div class="diffobj-text"><div class="diffobj-match"><span class="diffobj-trim">[11] </span>&quot;HI&quot;           &quot;ID&quot;          <span class="diffobj-trim"></span></div></div></div></div></div><div class="diffobj-row"><div class="diffobj-line"><div class="diffobj-match"><div class="diffobj-gutter"><div class="diffobj-match">Â </div><div class="pad"> </div></div><div class="diffobj-text"><div class="diffobj-match"><span class="diffobj-trim"> [7] </span>&quot;CT&quot; &quot;DE&quot; &quot;FL&quot; &quot;GA&quot; &quot;HI&quot; &quot;ID&quot;<span class="diffobj-trim"></span></div></div></div></div><div class="diffobj-line"><div class="diffobj-match"><div class="diffobj-gutter"><div class="diffobj-match">Â </div><div class="pad"> </div></div><div class="diffobj-text"><div class="diffobj-match"><span class="diffobj-trim">[13] </span>&quot;IL&quot;           &quot;IN&quot;          <span class="diffobj-trim"></span></div></div></div></div></div><div class="diffobj-row"><div class="diffobj-line"><div class="delete"><div class="diffobj-gutter"><div class="delete">&lt;</div><div class="pad"> </div></div><div class="diffobj-text"><div class="delete"><span class="diffobj-trim">[13] </span>&quot;IL&quot; &quot;IN&quot; &quot;IA&quot; <span class="diffobj-word delete">&quot;KS&quot;</span> &quot;KY&quot; &quot;LA&quot;<span class="diffobj-trim"></span></div></div></div></div><div class="diffobj-line"><div class="insert"><div class="diffobj-gutter"><div class="insert">&gt;</div><div class="pad"> </div></div><div class="diffobj-text"><div class="insert"><span class="diffobj-trim">[15] </span>&quot;IA&quot;           &quot;KY&quot;          <span class="diffobj-trim"></span></div></div></div></div></div><div class="diffobj-row"><div class="diffobj-line"><div class="diffobj-match"><div class="diffobj-gutter"><div class="diffobj-match">Â </div><div class="pad"> </div></div><div class="diffobj-text"><div class="diffobj-match"><span class="diffobj-trim">[19] </span>&quot;ME&quot; &quot;MD&quot; &quot;MA&quot; &quot;MI&quot; &quot;MN&quot; &quot;MS&quot;<span class="diffobj-trim"></span></div></div></div></div><div class="diffobj-line"><div class="diffobj-match"><div class="diffobj-gutter"><div class="diffobj-match">Â </div><div class="pad"> </div></div><div class="diffobj-text"><div class="diffobj-match"><span class="diffobj-trim">[17] </span>&quot;LA&quot;           &quot;ME&quot;          <span class="diffobj-trim"></span></div></div></div></div></div><div class="diffobj-row"><div class="diffobj-line"><div class="diffobj-match"><div class="diffobj-gutter"><div class="diffobj-match">Â </div><div class="pad"> </div></div><div class="diffobj-text"><div class="diffobj-match"><span class="diffobj-trim">[25] </span>&quot;MO&quot; &quot;MT&quot; &quot;NE&quot; &quot;NV&quot; &quot;NH&quot; &quot;NJ&quot;<span class="diffobj-trim"></span></div></div></div></div><div class="diffobj-line"><div class="diffobj-match"><div class="diffobj-gutter"><div class="diffobj-match">Â </div><div class="pad"> </div></div><div class="diffobj-text"><div class="diffobj-match"><span class="diffobj-trim">[19] </span>&quot;MD&quot;           &quot;MA&quot;          <span class="diffobj-trim"></span></div></div></div></div></div><div class="diffobj-row"><div class="diffobj-line"><div class="diffobj-header">@@ 6,4 @@</div></div><div class="diffobj-line"><div class="diffobj-header">@@ 17,5 @@</div></div></div><div class="diffobj-row"><div class="diffobj-line"><div class="diffobj-fill"><div class="diffobj-gutter"><div class="diffobj-fill">~</div><div class="pad"> </div></div><div class="diffobj-text"><div class="diffobj-fill">Â </div></div></div></div><div class="diffobj-line"><div class="diffobj-match"><div class="diffobj-gutter"><div class="diffobj-match">Â </div><div class="pad"> </div></div><div class="diffobj-text"><div class="diffobj-match"><span class="diffobj-trim">[33] </span>&quot;ND&quot;           &quot;OH&quot;          <span class="diffobj-trim"></span></div></div></div></div></div><div class="diffobj-row"><div class="diffobj-line"><div class="diffobj-match"><div class="diffobj-gutter"><div class="diffobj-match">Â </div><div class="pad"> </div></div><div class="diffobj-text"><div class="diffobj-match"><span class="diffobj-trim">[31] </span>&quot;NM&quot; &quot;NY&quot; &quot;NC&quot; &quot;ND&quot; &quot;OH&quot; &quot;OK&quot;<span class="diffobj-trim"></span></div></div></div></div><div class="diffobj-line"><div class="diffobj-match"><div class="diffobj-gutter"><div class="diffobj-match">Â </div><div class="pad"> </div></div><div class="diffobj-text"><div class="diffobj-match"><span class="diffobj-trim">[35] </span>&quot;OK&quot;           &quot;OR&quot;          <span class="diffobj-trim"></span></div></div></div></div></div><div class="diffobj-row"><div class="diffobj-line"><div class="delete"><div class="diffobj-gutter"><div class="delete">&lt;</div><div class="pad"> </div></div><div class="diffobj-text"><div class="delete"><span class="diffobj-trim">[37] </span>&quot;OR&quot; <span class="diffobj-word delete">&quot;PA&quot;</span> &quot;RI&quot; &quot;SC&quot; &quot;SD&quot; &quot;TN&quot;<span class="diffobj-trim"></span></div></div></div></div><div class="diffobj-line"><div class="insert"><div class="diffobj-gutter"><div class="insert">&gt;</div><div class="pad"> </div></div><div class="diffobj-text"><div class="insert"><span class="diffobj-trim">[37] </span><span class="diffobj-word insert">&quot;Pennsylvania&quot;</span> &quot;RI&quot;          <span class="diffobj-trim"></span></div></div></div></div></div><div class="diffobj-row"><div class="diffobj-line"><div class="diffobj-match"><div class="diffobj-gutter"><div class="diffobj-match">Â </div><div class="pad"> </div></div><div class="diffobj-text"><div class="diffobj-match"><span class="diffobj-trim">[43] </span>&quot;TX&quot; &quot;UT&quot; &quot;VT&quot; &quot;VA&quot; &quot;WA&quot; &quot;WV&quot;<span class="diffobj-trim"></span></div></div></div></div><div class="diffobj-line"><div class="diffobj-match"><div class="diffobj-gutter"><div class="diffobj-match">Â </div><div class="pad"> </div></div><div class="diffobj-text"><div class="diffobj-match"><span class="diffobj-trim">[39] </span>&quot;SC&quot;           &quot;SD&quot;          <span class="diffobj-trim"></span></div></div></div></div></div><div class="diffobj-row"><div class="diffobj-line"><div class="diffobj-match"><div class="diffobj-gutter"><div class="diffobj-match">Â </div><div class="pad"> </div></div><div class="diffobj-text"><div class="diffobj-match"><span class="diffobj-trim">[49] </span>&quot;WI&quot; &quot;WY&quot;<span class="diffobj-trim"></span></div></div></div></div><div class="diffobj-line"><div class="diffobj-match"><div class="diffobj-gutter"><div class="diffobj-match">Â </div><div class="pad"> </div></div><div class="diffobj-text"><div class="diffobj-match"><span class="diffobj-trim">[41] </span>&quot;TN&quot;           &quot;TX&quot;          <span class="diffobj-trim"></span></div></div></div></div></div></pre>
+</div>
+<p>Due to the different wrapping frequency no line in the text display of our two vectors matches. Despite this, <code>diffPrint</code> only highlights the lines that actually contain differences. The side effect is that lines that only contain matching elements are shown as matching even though the actual lines may be different. You can turn off this behavior in favor of a normal line diff with the <code>unwrap.atomic</code> argument to <code>diffPrint</code>.</p>
+<p>Currently this only works for <em>unnamed</em> vectors, and even for them some inputs may produce sub-optimal results. Nested vectors inside lists will not be unwrapped. You can also use <code>diffChr</code> (see below) to do a direct element by element comparison.</p>
+</div>
+</div>
+<div id="other-diff-functions" class="section level2">
+<h2>Other Diff Functions</h2>
+<div id="method-overview" class="section level3">
+<h3>Method Overview</h3>
+<p><code>diffobj</code> defines several S4 generics and default methods to go along with them. Each of them uses a different text representation of the inputs:</p>
+<ul>
+<li><code>diffPrint</code>: use the <code>print</code>/<code>show</code> output and is the one used in the examples so far</li>
+<li><code>diffStr</code>: use the output of <code>str</code></li>
+<li><code>diffObj</code>: picks between <code>print</code>/<code>show</code> and <code>str</code> depending on which provides the â€œbestâ€� overview of differences</li>
+<li><code>diffChr</code>: coerces the inputs to atomic character vectors with <code>as.character</code>, and runs the diff on the character vector</li>
+<li><code>diffFile</code>: compares the text content of two files</li>
+<li><code>diffCsv</code>: loads two CSV files into data frames and compares the data frames with <code>diffPrint</code></li>
+<li><code>diffDeparse</code>: deparses and compares the character vectors produced by the deparsing</li>
+<li><code>ses</code>: computes the element by element shortest edit script on two character vectors</li>
+</ul>
+<p>Note the <code>diff*</code> functions use lowerCamelCase in keeping with S4 method name convention, whereas the package name itself is all lower case.</p>
+</div>
+<div id="compare-structure-with-diffstr" class="section level3">
+<h3>Compare Structure with <code>diffStr</code></h3>
+<p>For complex objects it is often useful to compare structures:</p>
+<div class="sourceCode" id="cb3"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb3-1" data-line-number="1">mdl1 &lt;-<span class="st"> </span><span class="kw">lm</span>(Sepal.Length <span class="op">~</span><span class="st"> </span>Sepal.Width, iris)</a>
+<a class="sourceLine" id="cb3-2" data-line-number="2">mdl2 &lt;-<span class="st"> </span><span class="kw">lm</span>(Sepal.Length <span class="op">~</span><span class="st"> </span>Sepal.Width <span class="op">+</span><span class="st"> </span>Species, iris)</a>
+<a class="sourceLine" id="cb3-3" data-line-number="3"><span class="kw">diffStr</span>(mdl1<span class="op">$</span>qr, mdl2<span class="op">$</span>qr, <span class="dt">line.limit=</span><span class="dv">15</span>)</a></code></pre></div>
+<div class="diffobj-container light yb">
+<pre class="diffobj-content"><div class="diffobj-row"><div class="diffobj-line banner"><div class="delete"><div class="diffobj-gutter"><div class="delete">&lt;</div><div class="pad"> </div></div><div class="diffobj-text"><div class="delete"><span class="diffobj-word delete">str(mdl1$qr, max.level = 2L)</span></div></div></div></div><div class="diffobj-line banner"><div class="insert"><div class="diffobj-gutter"><div class="insert">&gt;</div><div class="pad"> </div></div><div class="diffobj-text"><div class="insert"><span class="diffobj-word insert">str(mdl2$qr, max.level = 2L)</span></div></div></div></div></div><div class="diffobj-row"><div class="diffobj-line"><div class="diffobj-header">@@ 1,9 @@</div></div><div class="diffobj-line"><div class="diffobj-header">@@ 1,10 @@</div></div></div><div class="diffobj-row"><div class="diffobj-line"><div class="diffobj-match"><div class="diffobj-gutter"><div class="diffobj-match">Â </div><div class="pad"> </div></div><div class="diffobj-text"><div class="diffobj-match"><span class="diffobj-trim"></span>List of 5<span class="diffobj-trim"></span></div></div></div></div><div class="diffobj-line"><div class="diffobj-match"><div class="diffobj-gutter"><div class="diffobj-match">Â </div><div class="pad"> </div></div><div class="diffobj-text"><div class="diffobj-match"><span class="diffobj-trim"></span>List of 5<span class="diffobj-trim"></span></div></div></div></div></div><div class="diffobj-row"><div class="diffobj-line"><div class="delete"><div class="diffobj-gutter"><div class="delete">&lt;</div><div class="pad"> </div></div><div class="diffobj-text"><div class="delete"><span class="diffobj-trim"> $ </span>qr   : num [1:150, <span class="diffobj-word delete">1:2]</span> -12.2474 0.0816 0.0816 0.0816 0.0816 ...<span class="diffobj-trim"></span></div></div></div></div><div class="diffobj-line"><div class="insert"><div class="diffobj-gutter"><div class="insert">&gt;</div><div class="pad"> </div></div><div class="diffobj-text"><div class="insert"><span class="diffobj-trim"> $ </span>qr   : num [1:150, <span class="diffobj-word insert">1:4]</span> -12.2474 0.0816 0.0816 0.0816 0.0816 ...<span class="diffobj-trim"></span></div></div></div></div></div><div class="diffobj-row"><div class="diffobj-line"><div class="diffobj-match"><div class="diffobj-gutter"><div class="diffobj-match">Â </div><div class="pad"> </div></div><div class="diffobj-text"><div class="diffobj-match"><span class="diffobj-trim">  ..- </span>attr(*, &quot;dimnames&quot;)=List of 2<span class="diffobj-trim"></span></div></div></div></div><div class="diffobj-line"><div class="diffobj-match"><div class="diffobj-gutter"><div class="diffobj-match">Â </div><div class="pad"> </div></div><div class="diffobj-text"><div class="diffobj-match"><span class="diffobj-trim">  ..- </span>attr(*, &quot;dimnames&quot;)=List of 2<span class="diffobj-trim"></span></div></div></div></div></div><div class="diffobj-row"><div class="diffobj-line"><div class="delete"><div class="diffobj-gutter"><div class="delete">&lt;</div><div class="pad"> </div></div><div class="diffobj-text"><div class="delete"><span class="diffobj-trim">  ..- </span>attr(*, &quot;assign&quot;)= int <span class="diffobj-word delete">[1:2]</span> 0 1<span class="diffobj-trim"></span></div></div></div></div><div class="diffobj-line"><div class="insert"><div class="diffobj-gutter"><div class="insert">&gt;</div><div class="pad"> </div></div><div class="diffobj-text"><div class="insert"><span class="diffobj-trim">  ..- </span>attr(*, &quot;assign&quot;)= int <span class="diffobj-word insert">[1:4]</span> 0 <span class="diffobj-word insert">1</span> <span class="diffobj-word insert">2</span> <span class="diffobj-word insert">2</span><span class="diffobj-trim"></span></div></div></div></div></div><div class="diffobj-row"><div class="diffobj-line"><div class="diffobj-fill"><div class="diffobj-gutter"><div class="diffobj-fill">~</div><div class="pad"> </div></div><div class="diffobj-text"><div class="diffobj-fill"></div></div></div></div><div class="diffobj-line"><div class="insert"><div class="diffobj-gutter"><div class="insert">&gt;</div><div class="pad"> </div></div><div class="diffobj-text"><div class="insert"><span class="diffobj-trim">  ..- </span><span class="diffobj-word insert">attr</span><span class="diffobj-word insert">(*,</span> <span class="diffobj-word insert">&quot;contrasts&quot;</span><span class="diffobj-word insert">)=List</span> <span class="diffobj-word insert">of</span> 1<span class="diffobj-trim"></span></div></div></div></div></div><div class="diffobj-row"><div class="diffobj-line"><div class="delete"><div class="diffobj-gutter"><div class="delete">&lt;</div><div class="pad"> </div></div><div class="diffobj-text"><div class="delete"><span class="diffobj-trim"> $ </span>qraux: num <span class="diffobj-word delete">[1:2]</span> 1.08 1.02<span class="diffobj-trim"></span></div></div></div></div><div class="diffobj-line"><div class="insert"><div class="diffobj-gutter"><div class="insert">&gt;</div><div class="pad"> </div></div><div class="diffobj-text"><div class="insert"><span class="diffobj-trim"> $ </span>qraux: num <span class="diffobj-word insert">[1:4]</span> 1.08 1.02 <span class="diffobj-word insert">1.05</span> <span class="diffobj-word insert">1.11</span><span class="diffobj-trim"></span></div></div></div></div></div><div class="diffobj-row"><div class="diffobj-line"><div class="delete"><div class="diffobj-gutter"><div class="delete">&lt;</div><div class="pad"> </div></div><div class="diffobj-text"><div class="delete"><span class="diffobj-trim"> $ </span>pivot: int <span class="diffobj-word delete">[1:2]</span> 1 2<span class="diffobj-trim"></span></div></div></div></div><div class="diffobj-line"><div class="insert"><div class="diffobj-gutter"><div class="insert">&gt;</div><div class="pad"> </div></div><div class="diffobj-text"><div class="insert"><span class="diffobj-trim"> $ </span>pivot: int <span class="diffobj-word insert">[1:4]</span> 1 2 <span class="diffobj-word insert">3</span> <span class="diffobj-word insert">4</span><span class="diffobj-trim"></span></div></div></div></div></div><div class="diffobj-row"><div class="diffobj-line"><div class="diffobj-match"><div class="diffobj-gutter"><div class="diffobj-match">Â </div><div class="pad"> </div></div><div class="diffobj-text"><div class="diffobj-match"><span class="diffobj-trim"> $ </span>tol  : num 1e-07<span class="diffobj-trim"></span></div></div></div></div><div class="diffobj-line"><div class="diffobj-match"><div class="diffobj-gutter"><div class="diffobj-match">Â </div><div class="pad"> </div></div><div class="diffobj-text"><div class="diffobj-match"><span class="diffobj-trim"> $ </span>tol  : num 1e-07<span class="diffobj-trim"></span></div></div></div></div></div><div class="diffobj-row"><div class="diffobj-line"><div class="delete"><div class="diffobj-gutter"><div class="delete">&lt;</div><div class="pad"> </div></div><div class="diffobj-text"><div class="delete"><span class="diffobj-trim"> $ </span>rank : int <span class="diffobj-word delete">2</span><span class="diffobj-trim"></span></div></div></div></div><div class="diffobj-line"><div class="insert"><div class="diffobj-gutter"><div class="insert">&gt;</div><div class="pad"> </div></div><div class="diffobj-text"><div class="insert"><span class="diffobj-trim"> $ </span>rank : int <span class="diffobj-word insert">4</span><span class="diffobj-trim"></span></div></div></div></div></div><div class="diffobj-row"><div class="diffobj-line"><div class="diffobj-match"><div class="diffobj-gutter"><div class="diffobj-match">Â </div><div class="pad"> </div></div><div class="diffobj-text"><div class="diffobj-match"><span class="diffobj-trim"> - </span>attr(*, &quot;class&quot;)= chr &quot;qr&quot;<span class="diffobj-trim"></span></div></div></div></div><div class="diffobj-line"><div class="diffobj-match"><div class="diffobj-gutter"><div class="diffobj-match">Â </div><div class="pad"> </div></div><div class="diffobj-text"><div class="diffobj-match"><span class="diffobj-trim"> - </span>attr(*, &quot;class&quot;)= chr &quot;qr&quot;<span class="diffobj-trim"></span></div></div></div></div></div>3 differences are hidden by our use of `max.level`</pre>
+</div>
+<p>If you specify a <code>line.limit</code> with <code>diffStr</code> it will fold nested levels in order to fit under <code>line.limit</code> so long as there remain visible differences. If you prefer to see all the differences you can leave <code>line.limit</code> unspecified.</p>
+</div>
+<div id="compare-vectors-elements-with-diffchr" class="section level3">
+<h3>Compare Vectors Elements with <code>diffChr</code></h3>
+<p>Sometimes it is useful to do a direct element by element comparison:</p>
+<div class="sourceCode" id="cb4"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb4-1" data-line-number="1"><span class="kw">diffChr</span>(letters[<span class="dv">1</span><span class="op">:</span><span class="dv">3</span>], <span class="kw">c</span>(<span class="st">&quot;a&quot;</span>, <span class="st">&quot;B&quot;</span>, <span class="st">&quot;c&quot;</span>))</a></code></pre></div>
+<div class="diffobj-container light yb">
+<pre class="diffobj-content"><div class="diffobj-row"><div class="diffobj-line banner"><div class="delete"><div class="diffobj-gutter"><div class="delete">&lt;</div><div class="pad"> </div></div><div class="diffobj-text"><div class="delete"><span class="diffobj-word delete">letters[1:3]</span></div></div></div></div><div class="diffobj-line banner"><div class="insert"><div class="diffobj-gutter"><div class="insert">&gt;</div><div class="pad"> </div></div><div class="diffobj-text"><div class="insert"><span class="diffobj-word insert">c(&quot;a&quot;, &quot;B&quot;, &quot;c&quot;)</span></div></div></div></div></div><div class="diffobj-row"><div class="diffobj-line"><div class="diffobj-header">@@ 1,3 @@</div></div><div class="diffobj-line"><div class="diffobj-header">@@ 1,3 @@</div></div></div><div class="diffobj-row"><div class="diffobj-line"><div class="diffobj-match"><div class="diffobj-gutter"><div class="diffobj-match">Â </div><div class="pad"> </div></div><div class="diffobj-text"><div class="diffobj-match"><span class="diffobj-trim"></span>a<span class="diffobj-trim"></span></div></div></div></div><div class="diffobj-line"><div class="diffobj-match"><div class="diffobj-gutter"><div class="diffobj-match">Â </div><div class="pad"> </div></div><div class="diffobj-text"><div class="diffobj-match"><span class="diffobj-trim"></span>a<span class="diffobj-trim"></span></div></div></div></div></div><div class="diffobj-row"><div class="diffobj-line"><div class="delete"><div class="diffobj-gutter"><div class="delete">&lt;</div><div class="pad"> </div></div><div class="diffobj-text"><div class="delete"><span class="diffobj-trim"></span><span class="diffobj-word delete">b</span><span class="diffobj-trim"></span></div></div></div></div><div class="diffobj-line"><div class="insert"><div class="diffobj-gutter"><div class="insert">&gt;</div><div class="pad"> </div></div><div class="diffobj-text"><div class="insert"><span class="diffobj-trim"></span><span class="diffobj-word insert">B</span><span class="diffobj-trim"></span></div></div></div></div></div><div class="diffobj-row"><div class="diffobj-line"><div class="diffobj-match"><div class="diffobj-gutter"><div class="diffobj-match">Â </div><div class="pad"> </div></div><div class="diffobj-text"><div class="diffobj-match"><span class="diffobj-trim"></span>c<span class="diffobj-trim"></span></div></div></div></div><div class="diffobj-line"><div class="diffobj-match"><div class="diffobj-gutter"><div class="diffobj-match">Â </div><div class="pad"> </div></div><div class="diffobj-text"><div class="diffobj-match"><span class="diffobj-trim"></span>c<span class="diffobj-trim"></span></div></div></div></div></div></pre>
+</div>
+<p>Notice how we are comparing the contents of the vectors with one line per element.</p>
+</div>
+<div id="why-s4" class="section level3">
+<h3>Why S4?</h3>
+<p>The <code>diff*</code> functions are defined as S4 generics with default methods (signature <code>c(&quot;ANY&quot;, &quot;ANY&quot;)</code>) so that users can customize behavior for their own objects. For example, a custom method could set many of the default parameters to values more suitable for a particular object. If the objects in question are S3 objects the S3 class will have to be registered with <code>setOldClass</code>.</p>
+</div>
+<div id="return-value" class="section level3">
+<h3>Return Value</h3>
+<p>All the <code>diff*</code> methods return a <code>Diff</code> S4 object. It has a <code>show</code> method which is responsible for rendering the <code>Diff</code> and displaying it to the screen. Because of this you can compute and render diffs in two steps:</p>
+<div class="sourceCode" id="cb5"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb5-1" data-line-number="1">x &lt;-<span class="st"> </span><span class="kw">diffPrint</span>(letters, LETTERS)</a>
+<a class="sourceLine" id="cb5-2" data-line-number="2">x   <span class="co"># or equivalently: `show(x)`</span></a></code></pre></div>
+<p>This may cause the diff to render funny if you change screen widths, etc., between the two steps.</p>
+<p>There are also <code>summary</code>, <code>any</code>, and <code>as.character</code> methods. The <code>summary</code> method provides a high level overview of where the differences are, which can be helpful for large diffs:</p>
+<div class="sourceCode" id="cb6"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb6-1" data-line-number="1"><span class="kw">summary</span>(<span class="kw">diffStr</span>(mdl1, mdl2))</a></code></pre></div>
+<div class="diffobj-container light yb">
+<pre class="diffobj-content"><div class="diffobj-summary"><div class="body">Found differences in 12 hunks:<div class="detail">45 insertions, 39 deletions, 18 matches (lines)</div><br />Diff map (line:char scale is 1:1 for single chars, 1-2:1 for char seqs):</div><div class="map"><span class="diffobj-word delete">D</span><span class="diffobj-word delete">D</span><span class="diffobj-word delete">D</span><span class="diffobj-word insert">I</span><span class="diffobj-word insert">I</span><span class="diffobj-word insert">I</span>.<span class="diffobj-word delete">D</span><span class="diffobj-word delete">D</span><span class="diffobj-word delete">D</span><span class="diffobj-word insert">I</span><span class="diffobj-word insert">I</span><span class="diffobj-word insert">I</span>.<span class="diffobj-word delete">D</span><span class="diffobj-word insert">I</span>.<span class="diffobj-word delete">D</span><span class="diffobj-word insert">I</span>..<span class="diffobj-word delete">D</span><span class="diffobj-word delete">D</span><span class="diffobj-word delete">D</span><span class="diffobj-word insert">I</span><span class="diffobj-word insert">I</span><span class="diffobj-word insert">I</span><span class="diffobj-word insert">I</span><span class="diffobj-word insert">I</span>.<span class="diffobj-word delete">D</span><span class="diffobj-word insert">I</span>.<span class="diffobj-word delete">D</span><span class="diffobj-word delete">D</span><span class="diffobj-word delete">D</span><span class="diffobj-word delete">D</span><span class="diffobj-word delete">D</span><span class="diffobj-word insert">I</span><span class="diffobj-word insert">I</span><span class="diffobj-word insert">I</span><span class="diffobj-word insert">I</span><span class="diffobj-word insert">I</span><span class="diffobj-word insert">I</span><span class="diffobj-word insert">I</span>.<span class="diffobj-word delete">D</span><span class="diffobj-word delete">D</span><span class="diffobj-word delete">D</span><span class="diffobj-word insert">I</span><span class="diffobj-word insert">I</span><span class="diffobj-word insert">I</span>..<span class="diffobj-word delete">D</span><span class="diffobj-word delete">D</span><span class="diffobj-word delete">D</span><span class="diffobj-word insert">I</span><span class="diffobj-word insert">I</span><span class="diffobj-word insert">I</span>..<span class="diffobj-word delete">D</span><span class="diffobj-word delete">D</span><span class="diffobj-word insert">I</span><span class="diffobj-word insert">I</span><span class="diffobj-word insert">I</span>.<span class="diffobj-word delete">D</span><span class="diffobj-word delete">D</span><span class="diffobj-word delete">D</span><span class="diffobj-word insert">I</span><span class="diffobj-word insert">I</span><span class="diffobj-word insert">I</span>..<span class="diffobj-word delete">D</span><span class="diffobj-word delete">D</span><span class="diffobj-word insert">I</span><span class="diffobj-word insert">I</span>.</div></div></pre>
+</div>
+<p><code>any</code> returns TRUE if there are differences, and <code>as.character</code> returns the character representation of the diff.</p>
+</div>
+</div>
+<div id="controlling-diffs-and-their-appearance" class="section level2">
+<h2>Controlling Diffs and Their Appearance</h2>
+<div id="parameters" class="section level3">
+<h3>Parameters</h3>
+<p>The <code>diff*</code> family of methods has an extensive set of parameters that allow you to fine tune how the diff is applied and displayed. We will review some of the major ones in this section. For a full description see <code>?diffPrint</code>.</p>
+<p>While the parameter list is extensive, only the objects being compared are required. All the other parameters have default values, and most of them are for advanced use only. The defaults can all be adjusted via the <code>diffobj.*</code> options.</p>
+</div>
+<div id="display-mode" class="section level3">
+<h3>Display Mode</h3>
+<p>There are three built-in display modes that are similar to those found in GNU <code>diff</code>: â€œsidebysideâ€�, â€œunifiedâ€�, and â€œcontextâ€�. For example, by varying the <code>mode</code> parameter with:</p>
+<div class="sourceCode" id="cb7"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb7-1" data-line-number="1">x &lt;-<span class="st"> </span>y &lt;-<span class="st"> </span>letters[<span class="dv">24</span><span class="op">:</span><span class="dv">26</span>]</a>
+<a class="sourceLine" id="cb7-2" data-line-number="2">y[<span class="dv">2</span>] &lt;-<span class="st"> &quot;GREMLINS&quot;</span></a>
+<a class="sourceLine" id="cb7-3" data-line-number="3"><span class="kw">diffChr</span>(x, y)</a></code></pre></div>
+<p>we get:</p>
+<table>
+<tr>
+<th>
+mode=â€œsidebysideâ€�
+<th>
+mode=â€œunifiedâ€�
+<th>
+mode=â€œcontextâ€�
+<tr style="vertical-align: top">
+<td>
+<div class="diffobj-container light yb">
+<pre class="diffobj-content"><div class="diffobj-row"><div class="diffobj-line banner"><div class="delete"><div class="diffobj-gutter"><div class="delete">&lt;</div><div class="pad"> </div></div><div class="diffobj-text"><div class="delete"><span class="diffobj-word delete">x</span></div></div></div></div><div class="diffobj-line banner"><div class="insert"><div class="diffobj-gutter"><div class="insert">&gt;</div><div class="pad"> </div></div><div class="diffobj-text"><div class="insert"><span class="diffobj-word insert">y</span></div></div></div></div></div><div class="diffobj-row"><div class="diffobj-line"><div class="diffobj-header">@@ 1,3 @@</div></div><div class="diffobj-line"><div class="diffobj-header">@@ 1,3 @@</div></div></div><div class="diffobj-row"><div class="diffobj-line"><div class="diffobj-match"><div class="diffobj-gutter"><div class="diffobj-match">Â </div><div class="pad"> </div></div><div class="diffobj-text"><div class="diffobj-match"><span class="diffobj-trim"></span>x<span class="diffobj-trim"></span></div></div></div></div><div class="diffobj-line"><div class="diffobj-match"><div class="diffobj-gutter"><div class="diffobj-match">Â </div><div class="pad"> </div></div><div class="diffobj-text"><div class="diffobj-match"><span class="diffobj-trim"></span>x<span class="diffobj-trim"></span></div></div></div></div></div><div class="diffobj-row"><div class="diffobj-line"><div class="delete"><div class="diffobj-gutter"><div class="delete">&lt;</div><div class="pad"> </div></div><div class="diffobj-text"><div class="delete"><span class="diffobj-trim"></span><span class="diffobj-word delete">y</span><span class="diffobj-trim"></span></div></div></div></div><div class="diffobj-line"><div class="insert"><div class="diffobj-gutter"><div class="insert">&gt;</div><div class="pad"> </div></div><div class="diffobj-text"><div class="insert"><span class="diffobj-trim"></span><span class="diffobj-word insert">GREMLINS</span><span class="diffobj-trim"></span></div></div></div></div></div><div class="diffobj-row"><div class="diffobj-line"><div class="diffobj-match"><div class="diffobj-gutter"><div class="diffobj-match">Â </div><div class="pad"> </div></div><div class="diffobj-text"><div class="diffobj-match"><span class="diffobj-trim"></span>z<span class="diffobj-trim"></span></div></div></div></div><div class="diffobj-line"><div class="diffobj-match"><div class="diffobj-gutter"><div class="diffobj-match">Â </div><div class="pad"> </div></div><div class="diffobj-text"><div class="diffobj-match"><span class="diffobj-trim"></span>z<span class="diffobj-trim"></span></div></div></div></div></div></pre>
+</div>
+<td>
+<div class="diffobj-container light yb">
+<pre class="diffobj-content"><div class="diffobj-row"><div class="diffobj-line banner"><div class="delete"><div class="diffobj-gutter"><div class="delete">&lt;</div><div class="pad"> </div></div><div class="diffobj-text"><div class="delete"><span class="diffobj-word delete">x</span></div></div></div></div></div><div class="diffobj-row"><div class="diffobj-line banner"><div class="insert"><div class="diffobj-gutter"><div class="insert">&gt;</div><div class="pad"> </div></div><div class="diffobj-text"><div class="insert"><span class="diffobj-word insert">y</span></div></div></div></div></div><div class="diffobj-row"><div class="diffobj-line"><div class="diffobj-header">@@ 1,3 / 1,3 @@</div></div></div><div class="diffobj-row"><div class="diffobj-line"><div class="diffobj-match"><div class="diffobj-gutter"><div class="diffobj-match">Â </div><div class="pad"> </div></div><div class="diffobj-text"><div class="diffobj-match"><span class="diffobj-trim"></span>x<span class="diffobj-trim"></span></div></div></div></div></div><div class="diffobj-row"><div class="diffobj-line"><div class="delete"><div class="diffobj-gutter"><div class="delete">&lt;</div><div class="pad"> </div></div><div class="diffobj-text"><div class="delete"><span class="diffobj-trim"></span><span class="diffobj-word delete">y</span><span class="diffobj-trim"></span></div></div></div></div></div><div class="diffobj-row"><div class="diffobj-line"><div class="insert"><div class="diffobj-gutter"><div class="insert">&gt;</div><div class="pad"> </div></div><div class="diffobj-text"><div class="insert"><span class="diffobj-trim"></span><span class="diffobj-word insert">GREMLINS</span><span class="diffobj-trim"></span></div></div></div></div></div><div class="diffobj-row"><div class="diffobj-line"><div class="diffobj-match"><div class="diffobj-gutter"><div class="diffobj-match">Â </div><div class="pad"> </div></div><div class="diffobj-text"><div class="diffobj-match"><span class="diffobj-trim"></span>z<span class="diffobj-trim"></span></div></div></div></div></div></pre>
+</div>
+<td>
+<div class="diffobj-container light yb">
+<pre class="diffobj-content"><div class="diffobj-row"><div class="diffobj-line banner"><div class="delete"><div class="diffobj-gutter"><div class="delete">&lt;</div><div class="pad"> </div></div><div class="diffobj-text"><div class="delete"><span class="diffobj-word delete">x</span></div></div></div></div></div><div class="diffobj-row"><div class="diffobj-line banner"><div class="insert"><div class="diffobj-gutter"><div class="insert">&gt;</div><div class="pad"> </div></div><div class="diffobj-text"><div class="insert"><span class="diffobj-word insert">y</span></div></div></div></div></div><div class="diffobj-row"><div class="diffobj-line"><div class="diffobj-header">@@ 1,3 / 1,3 @@</div></div></div><div class="diffobj-row"><div class="diffobj-line"><div class="diffobj-match"><div class="diffobj-gutter"><div class="diffobj-match">Â </div><div class="pad"> </div></div><div class="diffobj-text"><div class="diffobj-match"><span class="diffobj-trim"></span>x<span class="diffobj-trim"></span></div></div></div></div></div><div class="diffobj-row"><div class="diffobj-line"><div class="delete"><div class="diffobj-gutter"><div class="delete">&lt;</div><div class="pad"> </div></div><div class="diffobj-text"><div class="delete"><span class="diffobj-trim"></span><span class="diffobj-word delete">y</span><span class="diffobj-trim"></span></div></div></div></div></div><div class="diffobj-row"><div class="diffobj-line"><div class="diffobj-match"><div class="diffobj-gutter"><div class="diffobj-match">Â </div><div class="pad"> </div></div><div class="diffobj-text"><div class="diffobj-match"><span class="diffobj-trim"></span>z<span class="diffobj-trim"></span></div></div></div></div></div><div class="diffobj-row"><div class="diffobj-line"><div class="diffobj-fill"><div class="diffobj-gutter"><div class="context_sep ctd">~</div><div class="pad"> </div></div><div class="diffobj-text"><div class="context_sep">----------</div></div></div></div></div><div class="diffobj-row"><div class="diffobj-line"><div class="diffobj-match"><div class="diffobj-gutter"><div class="diffobj-match">Â </div><div class="pad"> </div></div><div class="diffobj-text"><div class="diffobj-match"><span class="diffobj-trim"></span>x<span class="diffobj-trim"></span></div></div></div></div></div><div class="diffobj-row"><div class="diffobj-line"><div class="insert"><div class="diffobj-gutter"><div class="insert">&gt;</div><div class="pad"> </div></div><div class="diffobj-text"><div class="insert"><span class="diffobj-trim"></span><span class="diffobj-word insert">GREMLINS</span><span class="diffobj-trim"></span></div></div></div></div></div><div class="diffobj-row"><div class="diffobj-line"><div class="diffobj-match"><div class="diffobj-gutter"><div class="diffobj-match">Â </div><div class="pad"> </div></div><div class="diffobj-text"><div class="diffobj-match"><span class="diffobj-trim"></span>z<span class="diffobj-trim"></span></div></div></div></div></div></pre>
+</div>
+</table>
+<p>By default <code>diffobj</code> will try to use <code>mode=&quot;sidebyside&quot;</code> if reasonable given display width, and otherwise will switch to <code>mode=&quot;unified&quot;</code>. You can always force a particular display style by specifying it with the <code>mode</code> argument.</p>
+</div>
+<div id="color-mode" class="section level3">
+<h3>Color Mode</h3>
+<p>The default color mode uses yellow and blue to symbolize deletions and insertions for accessibility to dichromats. If you prefer the more traditional color mode you can specify <code>color.mode=&quot;rgb&quot;</code> in the parameter list, or use <code>options(diffobj.color.mode=&quot;rgb&quot;)</code>:</p>
+<div class="sourceCode" id="cb8"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb8-1" data-line-number="1"><span class="kw">diffChr</span>(x, y, <span class="dt">color.mode=</span><span class="st">&quot;rgb&quot;</span>)</a></code></pre></div>
+<div class="diffobj-container light rgb">
+<pre class="diffobj-content"><div class="diffobj-row"><div class="diffobj-line banner"><div class="delete"><div class="diffobj-gutter"><div class="delete">&lt;</div><div class="pad"> </div></div><div class="diffobj-text"><div class="delete"><span class="diffobj-word delete">x</span></div></div></div></div><div class="diffobj-line banner"><div class="insert"><div class="diffobj-gutter"><div class="insert">&gt;</div><div class="pad"> </div></div><div class="diffobj-text"><div class="insert"><span class="diffobj-word insert">y</span></div></div></div></div></div><div class="diffobj-row"><div class="diffobj-line"><div class="diffobj-header">@@ 1,3 @@</div></div><div class="diffobj-line"><div class="diffobj-header">@@ 1,3 @@</div></div></div><div class="diffobj-row"><div class="diffobj-line"><div class="diffobj-match"><div class="diffobj-gutter"><div class="diffobj-match">Â </div><div class="pad"> </div></div><div class="diffobj-text"><div class="diffobj-match"><span class="diffobj-trim"></span>x<span class="diffobj-trim"></span></div></div></div></div><div class="diffobj-line"><div class="diffobj-match"><div class="diffobj-gutter"><div class="diffobj-match">Â </div><div class="pad"> </div></div><div class="diffobj-text"><div class="diffobj-match"><span class="diffobj-trim"></span>x<span class="diffobj-trim"></span></div></div></div></div></div><div class="diffobj-row"><div class="diffobj-line"><div class="delete"><div class="diffobj-gutter"><div class="delete">&lt;</div><div class="pad"> </div></div><div class="diffobj-text"><div class="delete"><span class="diffobj-trim"></span><span class="diffobj-word delete">y</span><span class="diffobj-trim"></span></div></div></div></div><div class="diffobj-line"><div class="insert"><div class="diffobj-gutter"><div class="insert">&gt;</div><div class="pad"> </div></div><div class="diffobj-text"><div class="insert"><span class="diffobj-trim"></span><span class="diffobj-word insert">GREMLINS</span><span class="diffobj-trim"></span></div></div></div></div></div><div class="diffobj-row"><div class="diffobj-line"><div class="diffobj-match"><div class="diffobj-gutter"><div class="diffobj-match">Â </div><div class="pad"> </div></div><div class="diffobj-text"><div class="diffobj-match"><span class="diffobj-trim"></span>z<span class="diffobj-trim"></span></div></div></div></div><div class="diffobj-line"><div class="diffobj-match"><div class="diffobj-gutter"><div class="diffobj-match">Â </div><div class="pad"> </div></div><div class="diffobj-text"><div class="diffobj-match"><span class="diffobj-trim"></span>z<span class="diffobj-trim"></span></div></div></div></div></div></pre>
+</div>
+</div>
+<div id="output-formats" class="section level3">
+<h3>Output Formats</h3>
+<p>If your terminal supports it <code>diffobj</code> will format the output with ANSI escape sequences. <code>diffobj</code> uses GÃ¡bor CsÃ¡rdiâ€™s <a href="https://github.com/r-lib/crayon"><code>crayon</code></a> package to detect ANSI support and to apply ANSI based formatting. If you are using RStudio or another IDE that supports <code>getOption(&quot;viewer&quot;)</code>, <code>diffobj</code> will output an HTML/CSS formatted diff to the viewport. In other terminals that do not support ANSI colors, <code>diffobj</code> will attempt to output to an HTML/CSS formatted diff to your browser using <code>browseURL</code>.</p>
+<p>You can explicitly specify the output format with the <code>format</code> parameter:</p>
+<ul>
+<li><code>format=&quot;raw&quot;</code> for unformatted diffs</li>
+<li><code>format=&quot;ansi8&quot;</code> for standard ANSI 8 color formatting</li>
+<li><code>format=&quot;ansi256&quot;</code> for ANSI 256 color formatting</li>
+<li><code>format=&quot;html&quot;</code> for HTML/CSS output and styling</li>
+</ul>
+<p>See <a href="#pagers">Pagers</a> for more details.</p>
+</div>
+<div id="brightness" class="section level3">
+<h3>Brightness</h3>
+<p>The <code>brightness</code> parameter allows you to pick a color scheme compatible with the background color of your terminal. The options are:</p>
+<ul>
+<li>â€œlightâ€�: for use with light tone terminals</li>
+<li>â€œdarkâ€�: for use with dark tone terminals</li>
+<li>â€œneutralâ€�: for use with either light or dark terminals</li>
+</ul>
+<p>Here are examples of terminal screen renderings for both â€œrgbâ€� and â€œybâ€� <code>color.mode</code> for the three <code>brightness</code> levels.</p>
+<p><img src="data:image/png;base64,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" /></p>
+<p>The examples for â€œlightâ€� and â€œdarkâ€� have the backgrounds forcefully set to a color compatible with the scheme. In actual use the base background and foreground colors are left unchanged, which will look bad if you use â€œdarkâ€� with light colored backgrounds or vice versa. Since we do not know of a good cross platform way of detecting terminal background color the default <code>brightness</code> value is â€œneutralâ€�.</p>
+<p>At this time the only <code>format</code> that is affected by this parameter is â€œansi256â€�. If you want to specify your own light/dark/neutral schemes you may do so either by specifying a <a href="#styles">style</a> directly or with <a href="#styles">Palette of Styles</a>.</p>
+</div>
+<div id="pagers" class="section level3">
+<h3>Pagers</h3>
+<p>In interactive mode, if the diff output is very long or if your terminal does not support ANSI colors, <code>diff*</code> methods will pipe output to a pager. This is done by writing the output to a temporary file and passing the file reference to the pager. The default action is to invoke the pager with <code>file.show</code> if your terminal supports ANSI colors and the pager is known to support ANSI colors as well (as of this writing, only <code>less</code> is assumed to support ANSI colors), or if not to use <code>getOption(&quot;viewer&quot;)</code> if available (this outputs to the viewport in RStudio), or if not to use <code>browseURL</code>.</p>
+<p>You can fine tune when, how, and if a pager is used with the <code>pager</code> parameter. See <code>?diffPrint</code> and <code>?Pager</code> for more details.</p>
+</div>
+<div id="styles" class="section level3">
+<h3>Styles</h3>
+<p>You can control almost all aspects of the diff output formatting via the <code>style</code> parameter. To do so, pass an appropriately configured <code>Style</code> object. See <code>?Style</code> for more details on how to do this.</p>
+<p>The default is to auto pick a style based on the values of the <code>format</code>, <code>color.mode</code>, and <code>brightness</code> parameters. This is done by using the computed values for each of those parameters to subset the <code>PaletteOfStyles</code> object passed as the <code>palette.of.styles</code> parameter. This <code>PaletteOfStyles</code> object contains a <code>Style</code> object for all the possible permutations of the <code>style</code>, <code>format</code>, and <code>color.mode</code> parameters. See <code>?PaletteOfStyles</code>.</p>
+<p>If you specify the <code>style</code> parameter the values of the <code>format</code>, <code>brightness</code>, and <code>color.mode</code> parameters will be ignored.</p>
+</div>
+</div>
+<div id="diff-algorithm" class="section level2">
+<h2>Diff Algorithm</h2>
+<p>The primary diff algorithm is Myerâ€™s solution to the shortest edit script / longest common sequence problem with the Hirschberg linear space refinement as described in:</p>
+<blockquote>
+<p>E. Myers, â€œAn O(ND) Difference Algorithm and Its Variationsâ€�, Algorithmica 1, 2 (1986), 251-266.</p>
+</blockquote>
+<p>and should be the same algorithm used by GNU diff. The implementation used here is a heavily modified version of Michael B. Allenâ€™s diff program from the <a href="http://www.ioplex.com/~miallen/libmba/dl/libmba-0.9.1.tar.gz"><code>libmba</code></a> <code>C</code> library. Any and all bugs in the C code in this package were most likely introduced by yours truly. Please note that the resulting C code is incompatible with the original <code>libmba</code> library.</p>
+</div>
+<div id="performance-considerations" class="section level2">
+<h2>Performance Considerations</h2>
+<div id="diff" class="section level3">
+<h3>Diff</h3>
+<p>The diff algorithm scales with the <em>square</em> of the number of <em>differences</em>. For reasonably small diffs (&lt; 10K differences), the diff itself is unlikely to be the bottleneck.</p>
+</div>
+<div id="capture-and-processing" class="section level3">
+<h3>Capture and Processing</h3>
+<p>Capture of inputs for <code>diffPrint</code> and <code>diffStr</code>, and processing of output for all <code>diff*</code> methods will account for most of the execution time unless you have large numbers of differences. This input and output processing scales mostly linearly with the input size.</p>
+<p>You can improve performance somewhat by using <code>diffChr</code> since that skips the capture part, and by turning off <code>word.diff</code>:</p>
+<div class="sourceCode" id="cb9"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb9-1" data-line-number="1">v1 &lt;-<span class="st"> </span><span class="dv">1</span><span class="op">:</span><span class="fl">5e4</span></a>
+<a class="sourceLine" id="cb9-2" data-line-number="2">v2 &lt;-<span class="st"> </span>v1[<span class="op">-</span><span class="kw">sample</span>(v1, <span class="dv">100</span>)]</a>
+<a class="sourceLine" id="cb9-3" data-line-number="3"><span class="kw">diffChr</span>(v1, v2, <span class="dt">word.diff=</span><span class="ot">FALSE</span>)</a></code></pre></div>
+<p>will be ~2x as fast as:</p>
+<div class="sourceCode" id="cb10"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb10-1" data-line-number="1"><span class="kw">diffPrint</span>(v1, v2)</a></code></pre></div>
+<p><em>Note</em>: turning off <code>word.diff</code> when using <code>diffPrint</code> with unnamed atomic vectors can actually <em>slow down</em> the diff because there may well be fewer element by element differences than line differences as displayed. For example, when comparing <code>1:1e6</code> to <code>2:1e6</code> there is only one element difference, but every line as displayed is different because of the shift. Using <code>word.diff=TRUE</code> (and <code>unwrap.atomic=TRUE</code>) allows <code>diffPrint</code> to compare element by element rather than line by line. <code>diffChr</code> always compares element by element.</p>
+</div>
+<div id="minimal-diff" class="section level3">
+<h3>Minimal Diff</h3>
+<p>If you are looking for the fastest possible diff you can use <code>ses</code> and completely bypass most input and output processing. Inputs will be coerced to character if they are not character.</p>
+<div class="sourceCode" id="cb11"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb11-1" data-line-number="1"><span class="kw">ses</span>(letters[<span class="dv">1</span><span class="op">:</span><span class="dv">5</span>], letters[<span class="kw">c</span>(<span class="dv">2</span><span class="op">:</span><span class="dv">3</span>, <span class="dv">5</span>)])</a></code></pre></div>
+<pre><code>## [1] &quot;1d0&quot; &quot;4d2&quot;</code></pre>
+<p>This will be 10-20x faster than <code>diffChr</code>, at the cost of less useful output.</p>
+</div>
+</div>
+
+
+
+<!-- code folding -->
+
+
+<!-- dynamically load mathjax for compatibility with self-contained -->
+<script>
+  (function () {
+    var script = document.createElement("script");
+    script.type = "text/javascript";
+    script.src  = "https://mathjax.rstudio.com/latest/MathJax.js?config=TeX-AMS-MML_HTMLorMML";
+    document.getElementsByTagName("head")[0].appendChild(script);
+  })();
+</script>
+
+</body>
+</html>
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/diffobj/doc/index.html
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/diffobj/doc/index.html	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/diffobj/doc/index.html	(revision 3761)
@@ -0,0 +1,34 @@
+<!DOCTYPE html>
+<html>
+<head><title>R: Vignettes and other documentation</title>
+<meta http-equiv="Content-Type" content="text/html; charset=utf-8" />
+<meta name="viewport" content="width=device-width, initial-scale=1.0, user-scalable=yes" />
+<link rel="stylesheet" type="text/css" href="/doc/html/R.css" />
+</head><body><div class="container">
+<h1> Vignettes and other documentation
+<img class="toplogo" src="/doc/html/Rlogo.svg" alt="[R logo]" />
+</h1>
+<hr/>
+<div style="text-align: center;">
+<a href="/doc/html/index.html"><img class="arrow" src="/doc/html/up.jpg" alt="[Top]" /></a>
+</div>
+<h2>Vignettes from package 'diffobj'</h2>
+<table style="width: 100%;">
+<col style="width: 22%;" />
+<col style="width:  2%;" />
+<col style="width: 50%;" />
+<col style="width:  8%;" />
+<col style="width:  8%;" />
+<col style="width:  8%;" />
+<tr><td style="text-align: right; vertical-align: top;"><a href="../../../library/diffobj/doc/diffobj.html">diffobj::diffobj</a></td>
+<td></td><td style="vertical-align: top;">Introduction to Diffobj</td>
+<td style="vertical-align: top;"><a href="../../../library/diffobj/doc/diffobj.html">HTML</a></td>
+<td style="vertical-align: top;"><a href="../../../library/diffobj/doc/diffobj.Rmd">source</a></td>
+<td style="vertical-align: top; white-space: nowrap"><a href="../../../library/diffobj/doc/diffobj.R">R code</a></td></tr>
+<tr><td style="text-align: right; vertical-align: top;"><a href="../../../library/diffobj/doc/embed.html">diffobj::embed</a></td>
+<td></td><td style="vertical-align: top;">Embed Diffs in R Markdown Or Shiny</td>
+<td style="vertical-align: top;"><a href="../../../library/diffobj/doc/embed.html">HTML</a></td>
+<td style="vertical-align: top;"><a href="../../../library/diffobj/doc/embed.Rmd">source</a></td>
+<td style="vertical-align: top; white-space: nowrap"><a href="../../../library/diffobj/doc/embed.R">R code</a></td></tr>
+</table>
+</div></body></html>
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/diffobj/doc/embed.R
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/diffobj/doc/embed.R	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/diffobj/doc/embed.R	(revision 3761)
@@ -0,0 +1,68 @@
+## ----echo=FALSE---------------------------------------------------------------
+library(diffobj)
+
+## ----results='asis'-----------------------------------------------------------
+cat(
+  as.character(
+    diffPrint(
+      1:5, 2:6,
+      format="html",
+      style=list(html.output="diff.w.style")
+) ) )
+
+## ----results='asis'-----------------------------------------------------------
+cat(
+  as.character(
+    diffPrint(
+      1:5, 2:6,
+      format="html",
+      style=list(html.output="diff.only")   # notice this changed
+) ) )
+
+## ----eval=FALSE---------------------------------------------------------------
+#  options(
+#    diffobj.format="html",
+#    diffobj.style=list(html.output="diff.only")
+#  )
+
+## ----echo=FALSE---------------------------------------------------------------
+old.opts <- options(
+  diffobj.format="html",
+  diffobj.style=list(html.output="diff.only")
+)
+
+## ----results='asis'-----------------------------------------------------------
+cat(as.character(diffPrint(1:5, 2:6)))
+
+## ----echo=FALSE---------------------------------------------------------------
+options(old.opts)
+
+## ---- eval=FALSE--------------------------------------------------------------
+#  library(shiny)
+#  shinyApp(
+#    ui=fluidPage(htmlOutput('diffobj_element')),
+#    server=function(input, output) {
+#      output$diffobj_element <- renderUI({
+#        HTML(
+#          as.character(
+#            diffPrint(
+#              1:5, 2:6,
+#              format="html",
+#              style=list(html.output="diff.w.style")
+#  ) ) )}) } )
+
+## ---- eval=FALSE--------------------------------------------------------------
+#  options(
+#    diffobj.format="html",
+#    diffobj.style=list(html.output="diff.only")
+#  )
+#  shinyApp(
+#    ui=fluidPage(
+#      includeCSS(diffobj_css()),
+#      htmlOutput('diffobj_element')
+#    ),
+#    server=function(input, output) {
+#      output$diffobj_element <- renderUI({
+#        HTML(as.character(diffPrint(1:5, 2:6,)))
+#  }) } )
+
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/diffobj/doc/embed.Rmd
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/diffobj/doc/embed.Rmd	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/diffobj/doc/embed.Rmd	(revision 3761)
@@ -0,0 +1,181 @@
+---
+title: "Embed Diffs in R Markdown Or Shiny"
+author: "Brodie Gaslam"
+output:
+    rmarkdown::html_vignette:
+        toc: true
+        css:
+          - !expr diffobj::diffobj_css()
+          - styles.css
+vignette: >
+  %\VignetteIndexEntry{Embed Diffs in R Markdown Or Shiny}
+  %\VignetteEngine{knitr::rmarkdown}
+  \usepackage[utf8]{inputenc}
+
+---
+
+```{r echo=FALSE}
+library(diffobj)
+```
+
+## Rmarkdown
+
+### Basic Requirements
+
+Any R chunks that produce diffs should include the `results='asis'` option,
+e.g.:
+
+````
+```{r, comment="", results="asis"}`r ''`
+# R code here
+```
+````
+
+### Embedded CSS
+
+This is what a basic code block should look like:
+
+````
+```{r, comment="", results="asis"}`r ''`
+cat(                                 # output to screen
+  as.character(                      # convert to diff to character vector
+    diffPrint(                       # run diff
+      1:5, 2:6,
+      format="html",                 # specify html output
+      style=list(
+        html.output="diff.w.style"   # configure html style
+      )
+) ) )
+```
+````
+
+Here we use this same code as an actual markdown R code block:
+
+```{r results='asis'}
+cat(
+  as.character(
+    diffPrint(
+      1:5, 2:6,
+      format="html",
+      style=list(html.output="diff.w.style")
+) ) )
+```
+
+This is an ugly implementation because it produces illegal HTML.  The styles are
+directly embedded in the body of the document, outside of the HEAD tags.
+Although this is illegal HTML, it seems to work in most browsers.  Another
+problem is that every diff you use in your document will inject the same CSS
+code over and over.
+
+### External CSS
+
+A better option is to provide the CSS directly by modifying the `output`
+portion of the [YAML
+header](https://bookdown.org/yihui/rmarkdown/r-package-vignette.html):
+
+```
+---
+output:
+    rmarkdown::html_vignette:
+        toc: true
+        css: !expr diffobj::diffobj_css()
+---
+```
+
+In reality you will probably want to specify multiple CSS files, including the
+original `rmarkdown` one:
+
+```
+---
+output:
+    rmarkdown::html_vignette:
+        toc: true
+        css:
+          - !expr diffobj::diffobj_css()
+          - !expr system.file("rmarkdown", "templates", "html_vignette", "resources", "vignette.css", package = "rmarkdown")
+---
+```
+
+Once you set this up then you can use:
+
+```{r results='asis'}
+cat(
+  as.character(
+    diffPrint(
+      1:5, 2:6,
+      format="html",
+      style=list(html.output="diff.only")   # notice this changed
+) ) )
+```
+
+This will omit the CSS, but since we include it via the YAML everything should
+work as expected.
+
+### Use Options
+
+Almost all `diffobj` parameters can be specified via options:
+
+```{r eval=FALSE}
+options(
+  diffobj.format="html",
+  diffobj.style=list(html.output="diff.only")
+)
+```
+```{r echo=FALSE}
+old.opts <- options(
+  diffobj.format="html",
+  diffobj.style=list(html.output="diff.only")
+)
+```
+Then you can just run the diff as normal:
+```{r results='asis'}
+cat(as.character(diffPrint(1:5, 2:6)))
+```
+```{r echo=FALSE}
+options(old.opts)
+```
+
+## Shiny
+
+Shiny usage is very similar to `rmarkdown`.  In both cases we want to get
+`diffobj` to produce HTML output to embed in our document.  If we are willing to
+embed the CSS with each diff, we can use:
+
+```{r, eval=FALSE}
+library(shiny)
+shinyApp(
+  ui=fluidPage(htmlOutput('diffobj_element')),
+  server=function(input, output) {
+    output$diffobj_element <- renderUI({
+      HTML(
+        as.character(
+          diffPrint(
+            1:5, 2:6,
+            format="html",
+            style=list(html.output="diff.w.style")
+) ) )}) } )
+```
+
+If we have many diffs, it may be preferable to use options and external
+style sheet:
+
+```{r, eval=FALSE}
+options(
+  diffobj.format="html",
+  diffobj.style=list(html.output="diff.only")
+)
+shinyApp(
+  ui=fluidPage(
+    includeCSS(diffobj_css()),
+    htmlOutput('diffobj_element')
+  ),
+  server=function(input, output) {
+    output$diffobj_element <- renderUI({
+      HTML(as.character(diffPrint(1:5, 2:6,)))
+}) } )
+```
+
+Unlike with our [rmarkdown example](#external-css), this CSS is included
+in the body of the HTML document instead of in the header, so it is technically
+illegal like in our [embedded css example](#embedded-css).
+
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/diffobj/doc/embed.html
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/diffobj/doc/embed.html	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/diffobj/doc/embed.html	(revision 3761)
@@ -0,0 +1,826 @@
+<!DOCTYPE html>
+
+<html>
+
+<head>
+
+<meta charset="utf-8" />
+<meta name="generator" content="pandoc" />
+<meta http-equiv="X-UA-Compatible" content="IE=EDGE" />
+
+<meta name="viewport" content="width=device-width, initial-scale=1" />
+
+<meta name="author" content="Brodie Gaslam" />
+
+
+<title>Embed Diffs in R Markdown Or Shiny</title>
+
+
+<style type="text/css">
+  code{white-space: pre-wrap;}
+  span.smallcaps{font-variant: small-caps;}
+  span.underline{text-decoration: underline;}
+  div.column{display: inline-block; vertical-align: top; width: 50%;}
+  div.hanging-indent{margin-left: 1.5em; text-indent: -1.5em;}
+  ul.task-list{list-style: none;}
+    </style>
+
+
+<style type="text/css">
+  code {
+    white-space: pre;
+  }
+  .sourceCode {
+    overflow: visible;
+  }
+</style>
+<style type="text/css" data-origin="pandoc">
+a.sourceLine { display: inline-block; line-height: 1.25; }
+a.sourceLine { pointer-events: none; color: inherit; text-decoration: inherit; }
+a.sourceLine:empty { height: 1.2em; position: absolute; }
+.sourceCode { overflow: visible; }
+code.sourceCode { white-space: pre; position: relative; }
+div.sourceCode { margin: 1em 0; }
+pre.sourceCode { margin: 0; }
+@media screen {
+div.sourceCode { overflow: auto; }
+}
+@media print {
+code.sourceCode { white-space: pre-wrap; }
+a.sourceLine { text-indent: -1em; padding-left: 1em; }
+}
+pre.numberSource a.sourceLine
+  { position: relative; }
+pre.numberSource a.sourceLine:empty
+  { position: absolute; }
+pre.numberSource a.sourceLine::before
+  { content: attr(data-line-number);
+    position: absolute; left: -5em; text-align: right; vertical-align: baseline;
+    border: none; pointer-events: all;
+    -webkit-touch-callout: none; -webkit-user-select: none;
+    -khtml-user-select: none; -moz-user-select: none;
+    -ms-user-select: none; user-select: none;
+    padding: 0 4px; width: 4em;
+    color: #aaaaaa;
+  }
+pre.numberSource { margin-left: 3em; border-left: 1px solid #aaaaaa;  padding-left: 4px; }
+div.sourceCode
+  {  }
+@media screen {
+a.sourceLine::before { text-decoration: underline; }
+}
+code span.al { color: #ff0000; font-weight: bold; } /* Alert */
+code span.an { color: #60a0b0; font-weight: bold; font-style: italic; } /* Annotation */
+code span.at { color: #7d9029; } /* Attribute */
+code span.bn { color: #40a070; } /* BaseN */
+code span.bu { } /* BuiltIn */
+code span.cf { color: #007020; font-weight: bold; } /* ControlFlow */
+code span.ch { color: #4070a0; } /* Char */
+code span.cn { color: #880000; } /* Constant */
+code span.co { color: #60a0b0; font-style: italic; } /* Comment */
+code span.cv { color: #60a0b0; font-weight: bold; font-style: italic; } /* CommentVar */
+code span.do { color: #ba2121; font-style: italic; } /* Documentation */
+code span.dt { color: #902000; } /* DataType */
+code span.dv { color: #40a070; } /* DecVal */
+code span.er { color: #ff0000; font-weight: bold; } /* Error */
+code span.ex { } /* Extension */
+code span.fl { color: #40a070; } /* Float */
+code span.fu { color: #06287e; } /* Function */
+code span.im { } /* Import */
+code span.in { color: #60a0b0; font-weight: bold; font-style: italic; } /* Information */
+code span.kw { color: #007020; font-weight: bold; } /* Keyword */
+code span.op { color: #666666; } /* Operator */
+code span.ot { color: #007020; } /* Other */
+code span.pp { color: #bc7a00; } /* Preprocessor */
+code span.sc { color: #4070a0; } /* SpecialChar */
+code span.ss { color: #bb6688; } /* SpecialString */
+code span.st { color: #4070a0; } /* String */
+code span.va { color: #19177c; } /* Variable */
+code span.vs { color: #4070a0; } /* VerbatimString */
+code span.wa { color: #60a0b0; font-weight: bold; font-style: italic; } /* Warning */
+
+</style>
+<script>
+// apply pandoc div.sourceCode style to pre.sourceCode instead
+(function() {
+  var sheets = document.styleSheets;
+  for (var i = 0; i < sheets.length; i++) {
+    if (sheets[i].ownerNode.dataset["origin"] !== "pandoc") continue;
+    try { var rules = sheets[i].cssRules; } catch (e) { continue; }
+    for (var j = 0; j < rules.length; j++) {
+      var rule = rules[j];
+      // check if there is a div.sourceCode rule
+      if (rule.type !== rule.STYLE_RULE || rule.selectorText !== "div.sourceCode") continue;
+      var style = rule.style.cssText;
+      // check if color or background-color is set
+      if (rule.style.color === '' && rule.style.backgroundColor === '') continue;
+      // replace div.sourceCode by a pre.sourceCode rule
+      sheets[i].deleteRule(j);
+      sheets[i].insertRule('pre.sourceCode{' + style + '}', j);
+    }
+  }
+})();
+</script>
+
+
+
+
+<style type="text/css">
+
+DIV.diffobj-container PRE.diffobj-content {
+white-space: pre-wrap;
+margin: 0;
+}
+DIV.diffobj-container DIV.diffobj-row {
+width: 100%;
+font-family: monospace;
+display: table;
+table-layout: fixed;
+}
+DIV.diffobj-container DIV.diffobj-line {
+width: auto;
+display: table-cell;
+overflow: hidden;
+}
+DIV.diffobj-container DIV.diffobj-line>DIV {
+width: 100%;
+display: table;
+table-layout: auto;
+}
+DIV.diffobj-container DIV.diffobj-line.banner>DIV {
+display: table;
+table-layout: auto; 
+}
+DIV.diffobj-container DIV.diffobj-text {
+display: table-cell;
+width: 100%;
+}
+DIV.diffobj-container DIV.diffobj-gutter {
+display: table-cell;
+padding: 0 0.2em;
+}
+DIV.diffobj-container DIV.diffobj-gutter DIV {
+display: table-cell;
+}
+#diffobj_content_meta DIV.diffobj-container DIV.diffobj-row {
+width: auto;
+}
+#diffobj_banner_meta DIV.diffobj-container DIV.diffobj-line.banner>DIV {
+table-layout: auto;
+}
+#diffobj_outer {
+overflow: hidden;
+}
+ DIV.diffobj-container DIV.diffobj-summary DIV.map {
+word-wrap: break-word;
+padding-left: 1em;
+}
+DIV.diffobj-container DIV.diffobj-summary DIV.detail {
+padding-left: 1em;
+}
+
+DIV.diffobj-container DIV.diffobj-line.banner {
+font-size: 1.2em;
+font-weight: bold;
+overflow: hidden;
+}
+
+DIV.diffobj-container DIV.diffobj-line.banner DIV.diffobj-text DIV{
+white-space: nowrap;
+overflow: hidden;
+text-overflow: ellipsis;
+width: 100%; 
+}
+DIV.diffobj-container DIV.diffobj-gutter,
+DIV.diffobj-container DIV.diffobj-guide,
+DIV.diffobj-container DIV.diffobj-fill,
+DIV.diffobj-container DIV.context_sep,
+DIV.diffobj-container SPAN.diffobj-trim {
+color: #999;
+}
+DIV.diffobj-container DIV.diffobj-header {
+font-size: 1.1em;
+}
+DIV.diffobj-container DIV.diffobj-text>DIV.diffobj-match,
+DIV.diffobj-container DIV.diffobj-text>DIV.diffobj-guide {
+background-color: #ffffff;
+}
+DIV.diffobj-container DIV.diffobj-text>DIV.diffobj-fill {
+background-color: transparent;
+}
+DIV.diffobj-container DIV.diffobj-text>DIV {
+padding-right: 3px;
+}
+DIV.diffobj-container DIV.diffobj-text>DIV {
+border-left: 1px solid #888888;
+}
+DIV.diffobj-container DIV.diffobj-line {
+background-color: #eeeeee;
+}
+DIV.diffobj-container DIV.diffobj-text>DIV,
+DIV.diffobj-container DIV.diffobj-header {
+padding-left: 0.5em;
+}
+DIV.diffobj-container DIV.diffobj-line>DIV.diffobj-match,
+DIV.diffobj-container DIV.diffobj-line>DIV.diffobj-fill,
+DIV.diffobj-container DIV.diffobj-line>DIV.diffobj-guide {
+border-left: 1px solid #888888;
+}
+
+DIV.diffobj-container.light.rgb SPAN.diffobj-word.insert,
+DIV.diffobj-container.light.rgb DIV.diffobj-line>DIV.insert {
+background-color: #a6f3a6;
+}
+DIV.diffobj-container.light.rgb SPAN.diffobj-word.delete,
+DIV.diffobj-container.light.rgb DIV.diffobj-line>DIV.delete {
+background-color: #f8c2c2;
+}
+DIV.diffobj-container.light.rgb DIV.diffobj-text>DIV.insert {
+background-color: #efffef;
+}
+DIV.diffobj-container.light.rgb DIV.diffobj-text>DIV.insert,
+DIV.diffobj-container.light.rgb DIV.diffobj-line>DIV.insert {
+border-left: 1px solid #33bb33;
+}
+DIV.diffobj-container.light.rgb DIV.diffobj-text>DIV.delete {
+background-color: #ffefef;
+}
+DIV.diffobj-container.light.rgb DIV.diffobj-text>DIV.delete,
+DIV.diffobj-container.light.rgb DIV.diffobj-line>DIV.delete {
+border-left: 1px solid #cc6666;
+}
+DIV.diffobj-container.light.rgb DIV.diffobj-header {
+background-color: #e0e6fa;
+border-left: 1px solid #9894b6;
+}
+
+DIV.diffobj-container.light.yb SPAN.diffobj-word.insert,
+DIV.diffobj-container.light.yb DIV.diffobj-line>DIV.insert {
+background-color: #c0cfff;
+}
+DIV.diffobj-container.light.yb SPAN.diffobj-word.delete,
+DIV.diffobj-container.light.yb DIV.diffobj-line>DIV.delete {
+background-color: #e7e780;
+}
+DIV.diffobj-container.light.yb DIV.diffobj-text>DIV.insert {
+background-color: #efefff;
+}
+DIV.diffobj-container.light.yb DIV.diffobj-text>DIV.insert,
+DIV.diffobj-container.light.yb DIV.diffobj-line>DIV.insert {
+border-left: 1px solid #3333bb;
+}
+DIV.diffobj-container.light.yb DIV.diffobj-text>DIV.delete {
+background-color: #fefee5;
+}
+DIV.diffobj-container.light.yb DIV.diffobj-text>DIV.delete,
+DIV.diffobj-container.light.yb DIV.diffobj-line>DIV.delete {
+border-left: 1px solid #aaaa55;
+}
+DIV.diffobj-container.light.yb DIV.diffobj-header {
+background-color: #afafaf;
+border-left: 1px solid #e3e3e3;
+color: #e9e9e9;
+}
+DIV.diffobj-container.light.yb DIV.diffobj-line {
+background-color: #eeeeee;
+}
+</style>
+<style type="text/css">
+body {
+background-color: #fff;
+margin: 1em auto;
+max-width: 700px;
+overflow: visible;
+padding-left: 2em;
+padding-right: 2em;
+font-family: "Open Sans", "Helvetica Neue", Helvetica, Arial, sans-serif;
+font-size: 14px;
+line-height: 1.5;
+}
+#header {
+text-align: center;
+}
+#TOC {
+clear: both;
+
+padding: 4px;
+width: 100%;
+border: 1px solid #CCCCCC;
+border-radius: 5px;
+background-color: #f6f6f6;
+font-size: 13px;
+line-height: 1.3;
+}
+#TOC .toctitle {
+font-weight: bold;
+font-size: 15px;
+margin-left: 5px;
+}
+#TOC ul {
+padding-left: 40px;
+margin-left: -1.5em;
+margin-top: 5px;
+margin-bottom: 5px;
+}
+#TOC ul ul {
+margin-left: -2em;
+}
+#TOC li {
+line-height: 16px;
+}
+table {
+margin: 1em auto;
+border-width: 1px;
+border-color: #DDDDDD;
+border-style: outset;
+border-collapse: collapse;
+}
+table th {
+border-width: 2px;
+padding: 5px;
+border-style: inset;
+}
+table td {
+border-width: 1px;
+border-style: inset;
+line-height: 18px;
+padding: 5px 5px;
+}
+table, table th, table td {
+border-left-style: none;
+border-right-style: none;
+}
+table thead, table tr.even {
+background-color: #f7f7f7;
+}
+p {
+margin: 1em 0;
+}
+blockquote {
+background-color: #f6f6f6;
+padding: 0.25em 0.75em;
+}
+hr {
+border-style: solid;
+border: none;
+border-top: 1px solid #777;
+margin: 28px 0;
+}
+dl {
+margin-left: 0;
+}
+dl dd {
+margin-bottom: 13px;
+margin-left: 13px;
+}
+dl dt {
+font-weight: bold;
+}
+ul {
+margin-top: 0;
+}
+ul li {
+list-style: circle outside;
+}
+ul ul {
+margin-bottom: 0;
+}
+h3.subtitle {
+margin-top: -23px;
+}
+pre, code {
+background-color: #EEE;
+color: #333;
+
+}
+pre {
+border: 2px solid #EEE;
+overflow: auto;
+white-space: pre-wrap; 
+
+margin: 5px 0px;
+padding: 5px 10px;
+font-size: 85%;
+}
+pre:not([class]) {
+color: #353;
+
+}
+div.sourceCode pre, div.sourceCode code {
+background-color: #FAFAFA;
+}
+div.sourceCode pre{
+
+}
+div.sourceCode + pre,
+div.sourceCode + div.diffobj-container {
+margin-top: -5px;
+}
+div.diffobj-container pre.diffobj-content {
+line-height: 1.3;
+}
+
+code {
+font-family: Consolas, Monaco, 'Courier New', monospace;
+}
+p > code, li > code, h1 > code, h2 > code, h3 > code,
+h4 > code, h5 > code, h6 > code {
+padding: 2px 0px;
+line-height: 1;
+font-weight: bold;
+}
+div.figure {
+text-align: center;
+}
+img {
+background-color: #FFFFFF;
+padding: 2px;
+border: 1px solid #DDDDDD;
+border-radius: 3px;
+border: 1px solid #CCCCCC;
+margin: 0 5px;
+}
+h1 {
+margin-top: 0;
+padding-bottom: 3px;
+font-size: 35px;
+line-height: 40px;
+border-bottom: 1px solid #999;
+}
+h2 {
+border-bottom: 1px solid #999;
+padding-top: 5px;
+padding-bottom: 2px;
+font-size: 145%;
+}
+h3 {
+padding-top: 5px;
+font-size: 120%;
+}
+h4 {
+
+color: #777;
+font-size: 105%;
+}
+h4.author, h4.date {display: none;}
+h5, h6 {
+
+font-size: 105%;
+}
+a {
+color: #2255dd;
+font-weight: bold;
+text-decoration: none;
+}
+a:hover {
+color: #6666ff; }
+a:visited {
+color: #800080; }
+a:visited:hover {
+color: #BB00BB; }
+a[href^="http:"] {
+text-decoration: underline; }
+a[href^="https:"] {
+text-decoration: underline; }
+
+code > span.kw { color: #555; font-weight: bold; } 
+code > span.dt { color: #902000; } 
+code > span.dv { color: #40a070; } 
+code > span.bn { color: #d14; } 
+code > span.fl { color: #d14; } 
+code > span.ch { color: #d14; } 
+code > span.st { color: #d14; } 
+code > span.co { color: #888888; font-style: italic; } 
+code > span.ot { color: #007020; } 
+code > span.al { color: #ff0000; font-weight: bold; } 
+code > span.fu { color: #900; font-weight: bold; } 
+code > span.er { color: #a61717; background-color: #e3d2d2; } 
+</style>
+
+
+
+
+</head>
+
+<body>
+
+
+
+
+<h1 class="title toc-ignore">Embed Diffs in R Markdown Or Shiny</h1>
+<h4 class="author">Brodie Gaslam</h4>
+
+
+<div id="TOC">
+<ul>
+<li><a href="#rmarkdown">Rmarkdown</a><ul>
+<li><a href="#basic-requirements">Basic Requirements</a></li>
+<li><a href="#embedded-css">Embedded CSS</a></li>
+<li><a href="#external-css">External CSS</a></li>
+<li><a href="#use-options">Use Options</a></li>
+</ul></li>
+<li><a href="#shiny">Shiny</a></li>
+</ul>
+</div>
+
+<div id="rmarkdown" class="section level2">
+<h2>Rmarkdown</h2>
+<div id="basic-requirements" class="section level3">
+<h3>Basic Requirements</h3>
+<p>Any R chunks that produce diffs should include the <code>results='asis'</code> option, e.g.:</p>
+<pre><code>```{r, comment=&quot;&quot;, results=&quot;asis&quot;}
+# R code here
+```</code></pre>
+</div>
+<div id="embedded-css" class="section level3">
+<h3>Embedded CSS</h3>
+<p>This is what a basic code block should look like:</p>
+<pre><code>```{r, comment=&quot;&quot;, results=&quot;asis&quot;}
+cat(                                 # output to screen
+  as.character(                      # convert to diff to character vector
+    diffPrint(                       # run diff
+      1:5, 2:6,
+      format=&quot;html&quot;,                 # specify html output
+      style=list(
+        html.output=&quot;diff.w.style&quot;   # configure html style
+      )
+) ) )
+```</code></pre>
+<p>Here we use this same code as an actual markdown R code block:</p>
+<div class="sourceCode" id="cb3"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb3-1" data-line-number="1"><span class="kw">cat</span>(</a>
+<a class="sourceLine" id="cb3-2" data-line-number="2">  <span class="kw">as.character</span>(</a>
+<a class="sourceLine" id="cb3-3" data-line-number="3">    <span class="kw">diffPrint</span>(</a>
+<a class="sourceLine" id="cb3-4" data-line-number="4">      <span class="dv">1</span><span class="op">:</span><span class="dv">5</span>, <span class="dv">2</span><span class="op">:</span><span class="dv">6</span>,</a>
+<a class="sourceLine" id="cb3-5" data-line-number="5">      <span class="dt">format=</span><span class="st">&quot;html&quot;</span>,</a>
+<a class="sourceLine" id="cb3-6" data-line-number="6">      <span class="dt">style=</span><span class="kw">list</span>(<span class="dt">html.output=</span><span class="st">&quot;diff.w.style&quot;</span>)</a>
+<a class="sourceLine" id="cb3-7" data-line-number="7">) ) )</a></code></pre></div>
+<style type="text/css">
+/* Structural CSS ------------------------------------------------------------*/
+/*
+ * TBD whether we want a more fully table like structure; some of the visual
+ * cues provided by the current set-up are useful (line wraps, etc.)
+ */
+
+DIV.diffobj-container PRE.diffobj-content {
+  white-space: pre-wrap;
+  margin: 0;
+}
+DIV.diffobj-container DIV.diffobj-row {
+  width: 100%;
+  font-family: monospace;
+  display: table;
+  table-layout: fixed;
+}
+DIV.diffobj-container DIV.diffobj-line {
+  width: auto;
+  display: table-cell;
+  overflow: hidden;
+}
+DIV.diffobj-container DIV.diffobj-line>DIV {
+  width: 100%;
+  display: table;
+  table-layout: auto;
+}
+DIV.diffobj-container DIV.diffobj-line.banner>DIV {
+  display: table;
+  table-layout: auto; /* set to fixed in JS */
+}
+DIV.diffobj-container DIV.diffobj-text {
+  display: table-cell;
+  width: 100%;
+}
+DIV.diffobj-container DIV.diffobj-gutter {
+  display: table-cell;
+  padding: 0 0.2em;
+}
+DIV.diffobj-container DIV.diffobj-gutter DIV {
+  display: table-cell;
+}
+#diffobj_content_meta DIV.diffobj-container DIV.diffobj-row {
+  width: auto;
+}
+#diffobj_banner_meta DIV.diffobj-container DIV.diffobj-line.banner>DIV {
+  table-layout: auto;
+}
+#diffobj_outer {
+  overflow: hidden;
+}
+/* Summary -------------------------------------------------------------------*/ 
+
+DIV.diffobj-container DIV.diffobj-summary DIV.map {
+  word-wrap: break-word;
+  padding-left: 1em;
+}
+DIV.diffobj-container DIV.diffobj-summary DIV.detail {
+  padding-left: 1em;
+}
+
+/* Common elements -----------------------------------------------------------*/
+
+DIV.diffobj-container DIV.diffobj-line.banner {
+  font-size: 1.2em;
+  font-weight: bold;
+  overflow: hidden;
+}
+/* truncate banners */
+DIV.diffobj-container DIV.diffobj-line.banner DIV.diffobj-text DIV{
+  white-space: nowrap;
+  overflow: hidden;
+  text-overflow: ellipsis;
+  width: 100%;             /* need to compute and set in JS */
+}
+DIV.diffobj-container DIV.diffobj-gutter,
+DIV.diffobj-container DIV.diffobj-guide,
+DIV.diffobj-container DIV.diffobj-fill,
+DIV.diffobj-container DIV.context_sep,
+DIV.diffobj-container SPAN.diffobj-trim {
+  color: #999;
+}
+DIV.diffobj-container DIV.diffobj-header {
+  font-size: 1.1em;
+}
+DIV.diffobj-container DIV.diffobj-text>DIV.diffobj-match,
+DIV.diffobj-container DIV.diffobj-text>DIV.diffobj-guide {
+  background-color: #ffffff;
+}
+DIV.diffobj-container DIV.diffobj-text>DIV.diffobj-fill {
+  background-color: transparent;
+}
+DIV.diffobj-container DIV.diffobj-text>DIV {
+  padding-right: 3px;
+}
+DIV.diffobj-container DIV.diffobj-text>DIV {
+  border-left: 1px solid #888888;
+}
+DIV.diffobj-container DIV.diffobj-line {
+  background-color: #eeeeee;
+}
+DIV.diffobj-container DIV.diffobj-text>DIV,
+DIV.diffobj-container DIV.diffobj-header {
+  padding-left: 0.5em;
+}
+DIV.diffobj-container DIV.diffobj-line>DIV.diffobj-match,
+DIV.diffobj-container DIV.diffobj-line>DIV.diffobj-fill,
+DIV.diffobj-container DIV.diffobj-line>DIV.diffobj-guide {
+  border-left: 1px solid #888888;
+}
+/* github inspired color scheme - default ------------------------------------*/
+
+DIV.diffobj-container.light.rgb SPAN.diffobj-word.insert,
+DIV.diffobj-container.light.rgb DIV.diffobj-line>DIV.insert {
+  background-color: #a6f3a6;
+}
+DIV.diffobj-container.light.rgb SPAN.diffobj-word.delete,
+DIV.diffobj-container.light.rgb DIV.diffobj-line>DIV.delete {
+  background-color: #f8c2c2;
+}
+DIV.diffobj-container.light.rgb DIV.diffobj-text>DIV.insert {
+  background-color: #efffef;
+}
+DIV.diffobj-container.light.rgb DIV.diffobj-text>DIV.insert,
+DIV.diffobj-container.light.rgb DIV.diffobj-line>DIV.insert {
+  border-left: 1px solid #33bb33;
+}
+DIV.diffobj-container.light.rgb DIV.diffobj-text>DIV.delete {
+  background-color: #ffefef;
+}
+DIV.diffobj-container.light.rgb DIV.diffobj-text>DIV.delete,
+DIV.diffobj-container.light.rgb DIV.diffobj-line>DIV.delete {
+  border-left: 1px solid #cc6666;
+}
+DIV.diffobj-container.light.rgb DIV.diffobj-header {
+  background-color: #e0e6fa;
+  border-left: 1px solid #9894b6;
+}
+/* Yellow Blue variation -----------------------------------------------------*/
+
+DIV.diffobj-container.light.yb SPAN.diffobj-word.insert,
+DIV.diffobj-container.light.yb DIV.diffobj-line>DIV.insert {
+  background-color: #c0cfff;
+}
+DIV.diffobj-container.light.yb SPAN.diffobj-word.delete,
+DIV.diffobj-container.light.yb DIV.diffobj-line>DIV.delete {
+  background-color: #e7e780;
+}
+DIV.diffobj-container.light.yb DIV.diffobj-text>DIV.insert {
+  background-color: #efefff;
+}
+DIV.diffobj-container.light.yb DIV.diffobj-text>DIV.insert,
+DIV.diffobj-container.light.yb DIV.diffobj-line>DIV.insert {
+  border-left: 1px solid #3333bb;
+}
+DIV.diffobj-container.light.yb DIV.diffobj-text>DIV.delete {
+  background-color: #fefee5;
+}
+DIV.diffobj-container.light.yb DIV.diffobj-text>DIV.delete,
+DIV.diffobj-container.light.yb DIV.diffobj-line>DIV.delete {
+  border-left: 1px solid #aaaa55;
+}
+DIV.diffobj-container.light.yb DIV.diffobj-header {
+  background-color: #afafaf;
+  border-left: 1px solid #e3e3e3;
+  color: #e9e9e9;
+}
+DIV.diffobj-container.light.yb DIV.diffobj-line {
+  background-color: #eeeeee;
+}
+</style>
+<div class="diffobj-container light yb">
+<pre class="diffobj-content"><div class="diffobj-row"><div class="diffobj-line banner"><div class="delete"><div class="diffobj-gutter"><div class="delete">&lt;</div><div class="pad"> </div></div><div class="diffobj-text"><div class="delete"><span class="diffobj-word delete">1:5</span></div></div></div></div><div class="diffobj-line banner"><div class="insert"><div class="diffobj-gutter"><div class="insert">&gt;</div><div class="pad"> </div></div><div class="diffobj-text"><div class="insert"><span class="diffobj-word insert">2:6</span></div></div></div></div></div><div class="diffobj-row"><div class="diffobj-line"><div class="diffobj-header">@@ 1 @@</div></div><div class="diffobj-line"><div class="diffobj-header">@@ 1 @@</div></div></div><div class="diffobj-row"><div class="diffobj-line"><div class="delete"><div class="diffobj-gutter"><div class="delete">&lt;</div><div class="pad"> </div></div><div class="diffobj-text"><div class="delete"><span class="diffobj-trim">[1] </span><span class="diffobj-word delete">1</span> 2 3 4 5<span class="diffobj-trim"></span></div></div></div></div><div class="diffobj-line"><div class="insert"><div class="diffobj-gutter"><div class="insert">&gt;</div><div class="pad"> </div></div><div class="diffobj-text"><div class="insert"><span class="diffobj-trim">[1] </span>2 3 4 5 <span class="diffobj-word insert">6</span><span class="diffobj-trim"></span></div></div></div></div></div></pre>
+</div>
+<p>This is an ugly implementation because it produces illegal HTML. The styles are directly embedded in the body of the document, outside of the HEAD tags. Although this is illegal HTML, it seems to work in most browsers. Another problem is that every diff you use in your document will inject the same CSS code over and over.</p>
+</div>
+<div id="external-css" class="section level3">
+<h3>External CSS</h3>
+<p>A better option is to provide the CSS directly by modifying the <code>output</code> portion of the <a href="https://bookdown.org/yihui/rmarkdown/r-package-vignette.html">YAML header</a>:</p>
+<pre><code>---
+output:
+    rmarkdown::html_vignette:
+        toc: true
+        css: !expr diffobj::diffobj_css()
+---</code></pre>
+<p>In reality you will probably want to specify multiple CSS files, including the original <code>rmarkdown</code> one:</p>
+<pre><code>---
+output:
+    rmarkdown::html_vignette:
+        toc: true
+        css:
+          - !expr diffobj::diffobj_css()
+          - !expr system.file(&quot;rmarkdown&quot;, &quot;templates&quot;, &quot;html_vignette&quot;, &quot;resources&quot;, &quot;vignette.css&quot;, package = &quot;rmarkdown&quot;)
+---</code></pre>
+<p>Once you set this up then you can use:</p>
+<div class="sourceCode" id="cb6"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb6-1" data-line-number="1"><span class="kw">cat</span>(</a>
+<a class="sourceLine" id="cb6-2" data-line-number="2">  <span class="kw">as.character</span>(</a>
+<a class="sourceLine" id="cb6-3" data-line-number="3">    <span class="kw">diffPrint</span>(</a>
+<a class="sourceLine" id="cb6-4" data-line-number="4">      <span class="dv">1</span><span class="op">:</span><span class="dv">5</span>, <span class="dv">2</span><span class="op">:</span><span class="dv">6</span>,</a>
+<a class="sourceLine" id="cb6-5" data-line-number="5">      <span class="dt">format=</span><span class="st">&quot;html&quot;</span>,</a>
+<a class="sourceLine" id="cb6-6" data-line-number="6">      <span class="dt">style=</span><span class="kw">list</span>(<span class="dt">html.output=</span><span class="st">&quot;diff.only&quot;</span>)   <span class="co"># notice this changed</span></a>
+<a class="sourceLine" id="cb6-7" data-line-number="7">) ) )</a></code></pre></div>
+<div class="diffobj-container light yb">
+<pre class="diffobj-content"><div class="diffobj-row"><div class="diffobj-line banner"><div class="delete"><div class="diffobj-gutter"><div class="delete">&lt;</div><div class="pad"> </div></div><div class="diffobj-text"><div class="delete"><span class="diffobj-word delete">1:5</span></div></div></div></div><div class="diffobj-line banner"><div class="insert"><div class="diffobj-gutter"><div class="insert">&gt;</div><div class="pad"> </div></div><div class="diffobj-text"><div class="insert"><span class="diffobj-word insert">2:6</span></div></div></div></div></div><div class="diffobj-row"><div class="diffobj-line"><div class="diffobj-header">@@ 1 @@</div></div><div class="diffobj-line"><div class="diffobj-header">@@ 1 @@</div></div></div><div class="diffobj-row"><div class="diffobj-line"><div class="delete"><div class="diffobj-gutter"><div class="delete">&lt;</div><div class="pad"> </div></div><div class="diffobj-text"><div class="delete"><span class="diffobj-trim">[1] </span><span class="diffobj-word delete">1</span> 2 3 4 5<span class="diffobj-trim"></span></div></div></div></div><div class="diffobj-line"><div class="insert"><div class="diffobj-gutter"><div class="insert">&gt;</div><div class="pad"> </div></div><div class="diffobj-text"><div class="insert"><span class="diffobj-trim">[1] </span>2 3 4 5 <span class="diffobj-word insert">6</span><span class="diffobj-trim"></span></div></div></div></div></div></pre>
+</div>
+<p>This will omit the CSS, but since we include it via the YAML everything should work as expected.</p>
+</div>
+<div id="use-options" class="section level3">
+<h3>Use Options</h3>
+<p>Almost all <code>diffobj</code> parameters can be specified via options:</p>
+<div class="sourceCode" id="cb7"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb7-1" data-line-number="1"><span class="kw">options</span>(</a>
+<a class="sourceLine" id="cb7-2" data-line-number="2">  <span class="dt">diffobj.format=</span><span class="st">&quot;html&quot;</span>,</a>
+<a class="sourceLine" id="cb7-3" data-line-number="3">  <span class="dt">diffobj.style=</span><span class="kw">list</span>(<span class="dt">html.output=</span><span class="st">&quot;diff.only&quot;</span>)</a>
+<a class="sourceLine" id="cb7-4" data-line-number="4">)</a></code></pre></div>
+<p>Then you can just run the diff as normal:</p>
+<div class="sourceCode" id="cb8"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb8-1" data-line-number="1"><span class="kw">cat</span>(<span class="kw">as.character</span>(<span class="kw">diffPrint</span>(<span class="dv">1</span><span class="op">:</span><span class="dv">5</span>, <span class="dv">2</span><span class="op">:</span><span class="dv">6</span>)))</a></code></pre></div>
+<div class="diffobj-container light yb">
+<pre class="diffobj-content"><div class="diffobj-row"><div class="diffobj-line banner"><div class="delete"><div class="diffobj-gutter"><div class="delete">&lt;</div><div class="pad"> </div></div><div class="diffobj-text"><div class="delete"><span class="diffobj-word delete">1:5</span></div></div></div></div><div class="diffobj-line banner"><div class="insert"><div class="diffobj-gutter"><div class="insert">&gt;</div><div class="pad"> </div></div><div class="diffobj-text"><div class="insert"><span class="diffobj-word insert">2:6</span></div></div></div></div></div><div class="diffobj-row"><div class="diffobj-line"><div class="diffobj-header">@@ 1 @@</div></div><div class="diffobj-line"><div class="diffobj-header">@@ 1 @@</div></div></div><div class="diffobj-row"><div class="diffobj-line"><div class="delete"><div class="diffobj-gutter"><div class="delete">&lt;</div><div class="pad"> </div></div><div class="diffobj-text"><div class="delete"><span class="diffobj-trim">[1] </span><span class="diffobj-word delete">1</span> 2 3 4 5<span class="diffobj-trim"></span></div></div></div></div><div class="diffobj-line"><div class="insert"><div class="diffobj-gutter"><div class="insert">&gt;</div><div class="pad"> </div></div><div class="diffobj-text"><div class="insert"><span class="diffobj-trim">[1] </span>2 3 4 5 <span class="diffobj-word insert">6</span><span class="diffobj-trim"></span></div></div></div></div></div></pre>
+</div>
+</div>
+</div>
+<div id="shiny" class="section level2">
+<h2>Shiny</h2>
+<p>Shiny usage is very similar to <code>rmarkdown</code>. In both cases we want to get <code>diffobj</code> to produce HTML output to embed in our document. If we are willing to embed the CSS with each diff, we can use:</p>
+<div class="sourceCode" id="cb9"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb9-1" data-line-number="1"><span class="kw">library</span>(shiny)</a>
+<a class="sourceLine" id="cb9-2" data-line-number="2"><span class="kw">shinyApp</span>(</a>
+<a class="sourceLine" id="cb9-3" data-line-number="3">  <span class="dt">ui=</span><span class="kw">fluidPage</span>(<span class="kw">htmlOutput</span>(<span class="st">'diffobj_element'</span>)),</a>
+<a class="sourceLine" id="cb9-4" data-line-number="4">  <span class="dt">server=</span><span class="cf">function</span>(input, output) {</a>
+<a class="sourceLine" id="cb9-5" data-line-number="5">    output<span class="op">$</span>diffobj_element &lt;-<span class="st"> </span><span class="kw">renderUI</span>({</a>
+<a class="sourceLine" id="cb9-6" data-line-number="6">      <span class="kw">HTML</span>(</a>
+<a class="sourceLine" id="cb9-7" data-line-number="7">        <span class="kw">as.character</span>(</a>
+<a class="sourceLine" id="cb9-8" data-line-number="8">          <span class="kw">diffPrint</span>(</a>
+<a class="sourceLine" id="cb9-9" data-line-number="9">            <span class="dv">1</span><span class="op">:</span><span class="dv">5</span>, <span class="dv">2</span><span class="op">:</span><span class="dv">6</span>,</a>
+<a class="sourceLine" id="cb9-10" data-line-number="10">            <span class="dt">format=</span><span class="st">&quot;html&quot;</span>,</a>
+<a class="sourceLine" id="cb9-11" data-line-number="11">            <span class="dt">style=</span><span class="kw">list</span>(<span class="dt">html.output=</span><span class="st">&quot;diff.w.style&quot;</span>)</a>
+<a class="sourceLine" id="cb9-12" data-line-number="12">) ) )}) } )</a></code></pre></div>
+<p>If we have many diffs, it may be preferable to use options and external style sheet:</p>
+<div class="sourceCode" id="cb10"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb10-1" data-line-number="1"><span class="kw">options</span>(</a>
+<a class="sourceLine" id="cb10-2" data-line-number="2">  <span class="dt">diffobj.format=</span><span class="st">&quot;html&quot;</span>,</a>
+<a class="sourceLine" id="cb10-3" data-line-number="3">  <span class="dt">diffobj.style=</span><span class="kw">list</span>(<span class="dt">html.output=</span><span class="st">&quot;diff.only&quot;</span>)</a>
+<a class="sourceLine" id="cb10-4" data-line-number="4">)</a>
+<a class="sourceLine" id="cb10-5" data-line-number="5"><span class="kw">shinyApp</span>(</a>
+<a class="sourceLine" id="cb10-6" data-line-number="6">  <span class="dt">ui=</span><span class="kw">fluidPage</span>(</a>
+<a class="sourceLine" id="cb10-7" data-line-number="7">    <span class="kw">includeCSS</span>(<span class="kw">diffobj_css</span>()),</a>
+<a class="sourceLine" id="cb10-8" data-line-number="8">    <span class="kw">htmlOutput</span>(<span class="st">'diffobj_element'</span>)</a>
+<a class="sourceLine" id="cb10-9" data-line-number="9">  ),</a>
+<a class="sourceLine" id="cb10-10" data-line-number="10">  <span class="dt">server=</span><span class="cf">function</span>(input, output) {</a>
+<a class="sourceLine" id="cb10-11" data-line-number="11">    output<span class="op">$</span>diffobj_element &lt;-<span class="st"> </span><span class="kw">renderUI</span>({</a>
+<a class="sourceLine" id="cb10-12" data-line-number="12">      <span class="kw">HTML</span>(<span class="kw">as.character</span>(<span class="kw">diffPrint</span>(<span class="dv">1</span><span class="op">:</span><span class="dv">5</span>, <span class="dv">2</span><span class="op">:</span><span class="dv">6</span>,)))</a>
+<a class="sourceLine" id="cb10-13" data-line-number="13">}) } )</a></code></pre></div>
+<p>Unlike with our <a href="#external-css">rmarkdown example</a>, this CSS is included in the body of the HTML document instead of in the header, so it is technically illegal like in our <a href="#embedded-css">embedded css example</a>.</p>
+</div>
+
+
+
+<!-- code folding -->
+
+
+<!-- dynamically load mathjax for compatibility with self-contained -->
+<script>
+  (function () {
+    var script = document.createElement("script");
+    script.type = "text/javascript";
+    script.src  = "https://mathjax.rstudio.com/latest/MathJax.js?config=TeX-AMS-MML_HTMLorMML";
+    document.getElementsByTagName("head")[0].appendChild(script);
+  })();
+</script>
+
+</body>
+</html>
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/Rcpp/include/Rcpp/sugar/block/SugarBlock_3.h
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/Rcpp/include/Rcpp/sugar/block/SugarBlock_3.h	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/Rcpp/include/Rcpp/sugar/block/SugarBlock_3.h	(revision 3761)
@@ -0,0 +1,126 @@
+// -*- mode: C++; c-indent-level: 4; c-basic-offset: 4; indent-tabs-mode: nil; -*-
+//
+// SugarBlock.h: Rcpp R/C++ interface class library -- sugar functions
+//
+// Copyright (C) 2010 - 2011 Dirk Eddelbuettel and Romain Francois
+//
+// This file is part of Rcpp.
+//
+// Rcpp is free software: you can redistribute it and/or modify it
+// under the terms of the GNU General Public License as published by
+// the Free Software Foundation, either version 2 of the License, or
+// (at your option) any later version.
+//
+// Rcpp is distributed in the hope that it will be useful, but
+// WITHOUT ANY WARRANTY; without even the implied warranty of
+// MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
+// GNU General Public License for more details.
+//
+// You should have received a copy of the GNU General Public License
+// along with Rcpp.  If not, see <http://www.gnu.org/licenses/>.
+
+#ifndef RCPP_SUGAR_BLOCK_3_H
+#define RCPP_SUGAR_BLOCK_3_H
+
+namespace Rcpp{
+namespace sugar{
+
+template <
+    bool NA, typename RESULT_TYPE,
+    typename U1, typename T1,
+    typename U2, typename T2,
+    typename U3, typename T3
+>
+class SugarBlock_3_VVV : public Rcpp::VectorBase<
+    Rcpp::traits::r_sexptype_traits<RESULT_TYPE>::rtype ,
+    NA,
+    SugarBlock_3_VVV<NA,RESULT_TYPE,U1,T1,U2,T2,U3,T3> > {
+public:
+    typedef RESULT_TYPE (*FunPtr)(U1,U2,U3) ;
+    SugarBlock_3_VVV( FunPtr ptr_, const T1 & x_, const T2& y_, const T3& z_ ) :
+        ptr(ptr_), x(x_), y(y_), z(z_) {
+        // TODO: size checks, recycling, etc ...
+    }
+    inline RESULT_TYPE operator[]( R_xlen_t i) const {
+        return ptr( x[i], y[i], z[i] ) ;
+    }
+    inline R_xlen_t size() const { return x.size() ; }
+
+private:
+    FunPtr ptr ;
+    const T1& x ;
+    const T2& y ;
+    const T2& z ;
+};
+
+
+// template <bool NA, typename RESULT_TYPE, typename U1, typename T1, typename U2>
+// class SugarBlock_3__VP : public Rcpp::VectorBase< Rcpp::traits::r_sexptype_traits<RESULT_TYPE>::rtype , NA, SugarBlock_3__VP<NA,RESULT_TYPE,U1,T1,U2> > {
+// public:
+// 	typedef RESULT_TYPE (*FunPtr)(U1,U2) ;
+// 	SugarBlock_3__VP( FunPtr ptr_, const T1 & x_, U2 u2 ) :
+// 		ptr(ptr_), x(x_), y(u2){}
+//
+// 	inline RESULT_TYPE operator[]( int i) const {
+// 		return ptr( x[i], y ) ;
+// 	}
+// 	inline int size() const { return x.size() ; }
+//
+// private:
+// 	FunPtr ptr ;
+// 	const T1& x ;
+// 	U2 y ;
+// };
+//
+// template <bool NA, typename RESULT_TYPE, typename U1, typename U2, typename T2>
+// class SugarBlock_3__PV : public Rcpp::VectorBase< Rcpp::traits::r_sexptype_traits<RESULT_TYPE>::rtype , NA, SugarBlock_3__PV<NA,RESULT_TYPE,U1,U2,T2> > {
+// public:
+// 	typedef RESULT_TYPE (*FunPtr)(U1,U2) ;
+// 	SugarBlock_3__PV( FunPtr ptr_, U1 u1, const T2& y_ ) :
+// 		ptr(ptr_), x(u1), y(y_){}
+//
+// 	inline RESULT_TYPE operator[]( int i) const {
+// 		return ptr( x, y[i] ) ;
+// 	}
+// 	inline int size() const { return y.size() ; }
+//
+// private:
+// 	FunPtr ptr ;
+// 	U1 x ;
+// 	const T2& y ;
+// };
+
+
+} // sugar
+} // Rcpp
+
+#define SB3_T1 VectorBase<REALSXP,T1_NA,T1>
+#define SB3_T2 VectorBase<REALSXP,T2_NA,T2>
+#define SB3_T3 VectorBase<REALSXP,T3_NA,T3>
+
+#define SUGAR_BLOCK_3(__NAME__,__SYMBOL__)                                                \
+namespace Rcpp{                                                                           \
+	template <bool T1_NA, typename T1, bool T2_NA, typename T2, bool T3_NA, typename T3>  \
+	inline sugar::SugarBlock_3_VVV<                                                       \
+		(T1_NA||T2_NA||T3_NA) ,double,                                                \
+		double,SB3_T1,                                                                \
+		double,SB3_T2,                                                                \
+		double,SB3_T3                                                                 \
+	>                                                                                     \
+	__NAME__(                                                                             \
+		const SB3_T1& x1,                                                             \
+		const SB3_T2& x2,                                                             \
+		const SB3_T3& x3                                                              \
+	){                                                                                    \
+		return sugar::SugarBlock_3_VVV<                                               \
+			(T1_NA||T2_NA||T3_NA) , double,                                       \
+			double,SB3_T1,                                                        \
+			double,SB3_T2,                                                        \
+			double,SB3_T3                                                         \
+		>(                                                                            \
+			__SYMBOL__ , x1, x2, x3                                               \
+		) ;                                                                           \
+	}                                                                                     \
+}
+
+#endif
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/Rcpp/include/Rcpp/sugar/block/Vectorized_Math.h
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/Rcpp/include/Rcpp/sugar/block/Vectorized_Math.h	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/Rcpp/include/Rcpp/sugar/block/Vectorized_Math.h	(revision 3761)
@@ -0,0 +1,100 @@
+// -*- mode: C++; c-indent-level: 4; c-basic-offset: 4; indent-tabs-mode: nil; -*-
+//
+// SugarBlock.h: Rcpp R/C++ interface class library -- sugar functions
+//
+// Copyright (C) 2010 - 2011 Dirk Eddelbuettel and Romain Francois
+//
+// This file is part of Rcpp.
+//
+// Rcpp is free software: you can redistribute it and/or modify it
+// under the terms of the GNU General Public License as published by
+// the Free Software Foundation, either version 2 of the License, or
+// (at your option) any later version.
+//
+// Rcpp is distributed in the hope that it will be useful, but
+// WITHOUT ANY WARRANTY; without even the implied warranty of
+// MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
+// GNU General Public License for more details.
+//
+// You should have received a copy of the GNU General Public License
+// along with Rcpp.  If not, see <http://www.gnu.org/licenses/>.
+
+#ifndef RCPP_SUGAR_VECTORIZEDMATH_H
+#define RCPP_SUGAR_VECTORIZEDMATH_H
+
+namespace Rcpp{
+namespace sugar{
+
+extern "C" typedef double (*DDFun)(double);
+
+template <DDFun Func, bool NA, typename VEC>
+class Vectorized : public VectorBase<REALSXP, NA, Vectorized<Func,NA,VEC> >{
+public:
+    typedef typename Rcpp::VectorBase<REALSXP,NA,VEC> VEC_TYPE ;
+    typedef typename Rcpp::traits::Extractor<REALSXP,NA,VEC>::type VEC_EXT ;
+
+    Vectorized( const VEC_TYPE& object_) : object( object_.get_ref() ){}
+    inline double operator[]( R_xlen_t i) const {
+        return Func( object[i] ) ;
+    }
+    inline R_xlen_t size() const { return object.size(); }
+
+private:
+    const VEC_EXT& object ;
+} ;
+
+template <DDFun Func, bool NA, typename VEC>
+class Vectorized_INTSXP : public VectorBase<REALSXP, NA, Vectorized_INTSXP<Func,NA,VEC> >{
+public:
+    typedef typename Rcpp::VectorBase<INTSXP,NA,VEC> VEC_TYPE ;
+    typedef typename Rcpp::traits::Extractor<INTSXP,NA,VEC>::type VEC_EXT ;
+
+    Vectorized_INTSXP( const VEC_TYPE& object_) : object( object_.get_ref() ){}
+    inline double operator[]( R_xlen_t i) const {
+        int x = object[i] ;
+        if( x == NA_INTEGER ) return NA_REAL ;
+        return Func( x ) ;
+    }
+    inline R_xlen_t size() const { return object.size(); }
+
+private:
+    const VEC_EXT& object ;
+} ;
+template <DDFun Func, typename VEC>
+class Vectorized_INTSXP<Func,false,VEC> :
+    public VectorBase<REALSXP,false, Vectorized_INTSXP<Func,false,VEC> >{
+public:
+    typedef typename Rcpp::VectorBase<INTSXP,false,VEC> VEC_TYPE ;
+    typedef typename Rcpp::traits::Extractor<INTSXP,false,VEC>::type VEC_EXT ;
+
+    Vectorized_INTSXP( const VEC_TYPE& object_) : object( object_.get_ref() ){}
+    inline double operator[]( R_xlen_t i) const {
+        return Func( object[i] ) ;
+    }
+    inline R_xlen_t size() const { return object.size(); }
+
+private:
+    const VEC_EXT& object ;
+} ;
+
+} // sugar
+} // Rcpp
+
+#define VECTORIZED_MATH_1(__NAME__,__SYMBOL__)                               \
+namespace Rcpp{                                                              \
+        template <bool NA, typename T>                                           \
+        inline sugar::Vectorized<__SYMBOL__,NA,T>                                \
+        __NAME__( const VectorBase<REALSXP,NA,T>& t ){                           \
+                return sugar::Vectorized<__SYMBOL__,NA,T>( t ) ;                     \
+        }                                                                        \
+        inline sugar::Vectorized<__SYMBOL__,true,NumericVector>                  \
+        __NAME__( SEXP x){ return __NAME__( NumericVector( x ) ) ; }             \
+        template <bool NA, typename T>                                           \
+        inline sugar::Vectorized_INTSXP<__SYMBOL__,NA,T>                         \
+        __NAME__( const VectorBase<INTSXP,NA,T>& t      ){                           \
+                return sugar::Vectorized_INTSXP<__SYMBOL__,NA,T>( t ) ;              \
+        }                                                                        \
+}
+
+
+#endif
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/Rcpp/include/Rcpp/sugar/block/block.h
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/Rcpp/include/Rcpp/sugar/block/block.h	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/Rcpp/include/Rcpp/sugar/block/block.h	(revision 3761)
@@ -0,0 +1,32 @@
+// -*- mode: C++; c-indent-level: 4; c-basic-offset: 4; tab-width: 8 -*-
+//
+// block.h: Rcpp R/C++ interface class library -- sugar blocks
+//
+// Copyright (C) 2010 - 2011 Dirk Eddelbuettel and Romain Francois
+//
+// This file is part of Rcpp.
+//
+// Rcpp is free software: you can redistribute it and/or modify it
+// under the terms of the GNU General Public License as published by
+// the Free Software Foundation, either version 2 of the License, or
+// (at your option) any later version.
+//
+// Rcpp is distributed in the hope that it will be useful, but
+// WITHOUT ANY WARRANTY; without even the implied warranty of
+// MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
+// GNU General Public License for more details.
+//
+// You should have received a copy of the GNU General Public License
+// along with Rcpp.  If not, see <http://www.gnu.org/licenses/>.
+
+#ifndef Rcpp__sugar__block__block_h
+#define Rcpp__sugar__block__block_h
+
+#include <Rcpp/sugar/block/SugarBlock_1.h>
+#include <Rcpp/sugar/block/SugarBlock_2.h>
+#include <Rcpp/sugar/block/SugarBlock_3.h>
+
+#include <Rcpp/sugar/block/SugarMath.h>
+#include <Rcpp/sugar/block/Vectorized_Math.h>
+
+#endif
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/Rcpp/include/Rcpp/sugar/block/SugarMath.h
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/Rcpp/include/Rcpp/sugar/block/SugarMath.h	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/Rcpp/include/Rcpp/sugar/block/SugarMath.h	(revision 3761)
@@ -0,0 +1,124 @@
+// -*- mode: C++; c-indent-level: 4; c-basic-offset: 4; tab-width: 8 -*-
+//
+// SugarBlock.h: Rcpp R/C++ interface class library -- sugar functions
+//
+// Copyright (C) 2010 - 2011 Dirk Eddelbuettel and Romain Francois
+//
+// This file is part of Rcpp.
+//
+// Rcpp is free software: you can redistribute it and/or modify it
+// under the terms of the GNU General Public License as published by
+// the Free Software Foundation, either version 2 of the License, or
+// (at your option) any later version.
+//
+// Rcpp is distributed in the hope that it will be useful, but
+// WITHOUT ANY WARRANTY; without even the implied warranty of
+// MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
+// GNU General Public License for more details.
+//
+// You should have received a copy of the GNU General Public License
+// along with Rcpp.  If not, see <http://www.gnu.org/licenses/>.
+
+#ifndef RCPP_SUGAR_SUGARMATH_H
+#define RCPP_SUGAR_SUGARMATH_H
+
+namespace Rcpp{
+namespace sugar{
+
+template <bool NA, typename RESULT_TYPE, typename U1, typename T1, typename FunPtr>
+class SugarMath_1 : public Rcpp::VectorBase<
+	Rcpp::traits::r_sexptype_traits<RESULT_TYPE>::rtype ,
+	NA,
+	SugarMath_1<NA,RESULT_TYPE,U1,T1,FunPtr>
+	> {
+public:
+
+	typedef Rcpp::VectorBase< Rcpp::traits::r_sexptype_traits<RESULT_TYPE>::rtype ,NA,T1> VEC_TYPE ;
+
+	SugarMath_1( FunPtr ptr_, const VEC_TYPE & vec_) : ptr(ptr_), vec(vec_){}
+
+	inline RESULT_TYPE operator[]( R_xlen_t i) const {
+		U1 x = vec[i] ;
+		if( ISNAN(x) ) return x;
+		return ptr( x ) ;
+	}
+	inline R_xlen_t size() const { return vec.size() ; }
+
+private:
+	FunPtr ptr ;
+	const VEC_TYPE& vec ;
+};
+
+template <bool NA, typename RESULT_TYPE, typename T1, typename FunPtr>
+class SugarMath_1<NA,RESULT_TYPE,int,T1,FunPtr> : public Rcpp::VectorBase<
+	Rcpp::traits::r_sexptype_traits<RESULT_TYPE>::rtype ,
+	NA,
+	SugarMath_1<NA,RESULT_TYPE,int,T1,FunPtr>
+	> {
+public:
+	typedef Rcpp::VectorBase< INTSXP ,NA,T1> VEC_TYPE ;
+
+	SugarMath_1( FunPtr ptr_, const VEC_TYPE & vec_) : ptr(ptr_), vec(vec_){}
+
+	inline RESULT_TYPE operator[]( R_xlen_t i) const {
+		int x = vec[i] ;
+		if( Rcpp::traits::is_na<INTSXP>(x) ) return Rcpp::traits::get_na<REALSXP>( ) ;
+		return ptr( x ) ;
+	}
+	inline R_xlen_t size() const { return vec.size() ; }
+
+private:
+	FunPtr ptr ;
+	const VEC_TYPE& vec ;
+};
+
+template <typename RESULT_TYPE, typename T1, typename FunPtr>
+class SugarMath_1<false,RESULT_TYPE,int,T1,FunPtr> : public
+Rcpp::VectorBase<
+	Rcpp::traits::r_sexptype_traits<RESULT_TYPE>::rtype ,
+	false,
+	SugarMath_1<false,RESULT_TYPE,int,T1,FunPtr>
+> {
+public:
+	typedef Rcpp::VectorBase< INTSXP ,false,T1> VEC_TYPE ;
+	SugarMath_1( FunPtr ptr_, const VEC_TYPE & vec_) : ptr(ptr_), vec(vec_){}
+
+	inline RESULT_TYPE operator[]( R_xlen_t i) const {
+		return ptr( vec[i] ) ;
+	}
+	inline R_xlen_t size() const { return vec.size() ; }
+
+private:
+	FunPtr ptr ;
+	const VEC_TYPE& vec ;
+};
+
+
+} // sugar
+} // Rcpp
+
+#define SUGAR_MATH_1(__NAME__,__SYMBOL__)                                    \
+	namespace Rcpp{                                                          \
+	template <bool NA, typename T>                                           \
+	inline sugar::SugarMath_1<NA,double,double,T, double (*)(double) >       \
+	__NAME__(                                                                \
+		const VectorBase<REALSXP,NA,T>& t                                    \
+	){                                                                       \
+		return sugar::SugarMath_1<NA,double,double,T, double (*)(double)>(   \
+			&__SYMBOL__ , t                                                   \
+		) ;                                                                  \
+	}                                                                        \
+	inline sugar::SugarMath_1<true,double,double,NumericVector,double(*)(double)>   \
+	__NAME__( SEXP x){ return __NAME__( NumericVector( x ) ) ; }             \
+	template <bool NA, typename T>                                           \
+	inline sugar::SugarMath_1<NA,double,int,T, double (*)(double) >          \
+	__NAME__(                                                                \
+		const VectorBase<INTSXP,NA,T>& t                                     \
+	){                                                                       \
+		return sugar::SugarMath_1<NA,double,int,T, double (*)(double)>(      \
+			&__SYMBOL__ , t                                                   \
+		) ;                                                                  \
+	}                                                                        \
+	}
+
+#endif
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/Rcpp/include/Rcpp/sugar/block/SugarBlock_1.h
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/Rcpp/include/Rcpp/sugar/block/SugarBlock_1.h	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/Rcpp/include/Rcpp/sugar/block/SugarBlock_1.h	(revision 3761)
@@ -0,0 +1,62 @@
+// -*- mode: C++; c-indent-level: 4; c-basic-offset: 4; indent-tabs-mode: nil; -*-
+//
+// SugarBlock.h: Rcpp R/C++ interface class library -- sugar functions
+//
+// Copyright (C) 2010 - 2011 Dirk Eddelbuettel and Romain Francois
+//
+// This file is part of Rcpp.
+//
+// Rcpp is free software: you can redistribute it and/or modify it
+// under the terms of the GNU General Public License as published by
+// the Free Software Foundation, either version 2 of the License, or
+// (at your option) any later version.
+//
+// Rcpp is distributed in the hope that it will be useful, but
+// WITHOUT ANY WARRANTY; without even the implied warranty of
+// MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
+// GNU General Public License for more details.
+//
+// You should have received a copy of the GNU General Public License
+// along with Rcpp.  If not, see <http://www.gnu.org/licenses/>.
+
+#ifndef RCPP_SUGAR_BLOCK_1_H
+#define RCPP_SUGAR_BLOCK_1_H
+
+namespace Rcpp{
+namespace sugar{
+
+template <bool NA, typename RESULT_TYPE, typename U1, typename T1>
+class SugarBlock_1 : public Rcpp::VectorBase< Rcpp::traits::r_sexptype_traits<RESULT_TYPE>::rtype , NA, SugarBlock_1<NA,RESULT_TYPE,U1,T1> > {
+public:
+    typedef RESULT_TYPE (*FunPtr)(U1) ;
+    SugarBlock_1( FunPtr ptr_, const T1 & vec_) : ptr(ptr_), vec(vec_){}
+
+    inline RESULT_TYPE operator[]( R_xlen_t i) const {
+        return ptr( vec[i] ) ;
+    }
+    inline R_xlen_t size() const { return vec.size() ; }
+
+private:
+    FunPtr ptr ;
+    const T1& vec ;
+};
+
+} // sugar
+} // Rcpp
+
+#define SB1_T VectorBase<REALSXP,NA,T>
+
+#define SUGAR_BLOCK_1(__NAME__,__SYMBOL__)                                                \
+    namespace Rcpp{                                                                       \
+    template <bool NA, typename T>                                                        \
+    inline sugar::SugarBlock_1<NA,double,double,SB1_T >                                   \
+    __NAME__(                                                                             \
+        const SB1_T& t                                                                    \
+    ){                                                                                    \
+        return sugar::SugarBlock_1<NA,double,double,SB1_T >(                              \
+                __SYMBOL__ , t                                                            \
+        ) ;                                                                               \
+    }                                                                                     \
+}
+
+#endif
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/Rcpp/include/Rcpp/sugar/block/SugarBlock_2.h
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/Rcpp/include/Rcpp/sugar/block/SugarBlock_2.h	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/Rcpp/include/Rcpp/sugar/block/SugarBlock_2.h	(revision 3761)
@@ -0,0 +1,164 @@
+// -*- mode: C++; c-indent-level: 4; c-basic-offset: 4; indent-tabs-mode: nil; -*-
+//
+// SugarBlock.h: Rcpp R/C++ interface class library -- sugar functions
+//
+// Copyright (C) 2010 - 2011 Dirk Eddelbuettel and Romain Francois
+//
+// This file is part of Rcpp.
+//
+// Rcpp is free software: you can redistribute it and/or modify it
+// under the terms of the GNU General Public License as published by
+// the Free Software Foundation, either version 2 of the License, or
+// (at your option) any later version.
+//
+// Rcpp is distributed in the hope that it will be useful, but
+// WITHOUT ANY WARRANTY; without even the implied warranty of
+// MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
+// GNU General Public License for more details.
+//
+// You should have received a copy of the GNU General Public License
+// along with Rcpp.  If not, see <http://www.gnu.org/licenses/>.
+
+#ifndef RCPP_SUGAR_BLOCK_2_H
+#define RCPP_SUGAR_BLOCK_2_H
+
+namespace Rcpp{
+namespace sugar{
+
+template <bool NA, typename RESULT_TYPE, typename U1, typename T1, typename U2, typename T2>
+class SugarBlock_2 : public Rcpp::VectorBase< Rcpp::traits::r_sexptype_traits<RESULT_TYPE>::rtype , NA, SugarBlock_2<NA,RESULT_TYPE,U1,T1,U2,T2> > {
+public:
+    typedef RESULT_TYPE (*FunPtr)(U1,U2) ;
+    SugarBlock_2( FunPtr ptr_, const T1 & x_, const T2& y_ ) :
+        ptr(ptr_), x(x_), y(y_){
+        // TODO: check that x and y have same size
+    }
+
+    inline RESULT_TYPE operator[]( R_xlen_t i) const {
+        return ptr( x[i], y[i] ) ;
+    }
+    inline R_xlen_t size() const { return x.size() ; }
+
+private:
+    FunPtr ptr ;
+    const T1& x ;
+    const T2& y ;
+};
+
+
+template <bool NA, typename RESULT_TYPE, typename U1, typename T1, typename U2>
+class SugarBlock_2__VP : public Rcpp::VectorBase< Rcpp::traits::r_sexptype_traits<RESULT_TYPE>::rtype , NA, SugarBlock_2__VP<NA,RESULT_TYPE,U1,T1,U2> > {
+public:
+    typedef RESULT_TYPE (*FunPtr)(U1,U2) ;
+    SugarBlock_2__VP( FunPtr ptr_, const T1 & x_, U2 u2 ) :
+        ptr(ptr_), x(x_), y(u2){}
+
+    inline RESULT_TYPE operator[]( R_xlen_t i) const {
+        return ptr( x[i], y ) ;
+    }
+    inline R_xlen_t size() const { return x.size() ; }
+
+private:
+    FunPtr ptr ;
+    const T1& x ;
+    U2 y ;
+};
+
+template <bool NA, typename RESULT_TYPE, typename U1, typename U2, typename T2>
+class SugarBlock_2__PV : public Rcpp::VectorBase< Rcpp::traits::r_sexptype_traits<RESULT_TYPE>::rtype , NA, SugarBlock_2__PV<NA,RESULT_TYPE,U1,U2,T2> > {
+public:
+    typedef RESULT_TYPE (*FunPtr)(U1,U2) ;
+    SugarBlock_2__PV( FunPtr ptr_, U1 u1, const T2& y_ ) :
+        ptr(ptr_), x(u1), y(y_){}
+
+    inline RESULT_TYPE operator[]( R_xlen_t i) const {
+        return ptr( x, y[i] ) ;
+    }
+    inline R_xlen_t size() const { return y.size() ; }
+
+private:
+    FunPtr ptr ;
+    U1 x ;
+    const T2& y ;
+};
+
+
+} // sugar
+} // Rcpp
+
+#define SB2_LHT VectorBase<REALSXP,LHS_NA,LHS_T>
+#define SB2_RHT VectorBase<REALSXP,RHS_NA,RHS_T>
+
+#define SUGAR_BLOCK_2(__NAME__,__SYMBOL__)                                                      \
+    namespace Rcpp{                                                     			\
+        template <bool LHS_NA, typename LHS_T, bool RHS_NA, typename RHS_T >                    \
+        inline sugar::SugarBlock_2< (LHS_NA||RHS_NA) ,double,double,SB2_LHT,double,SB2_RHT>     \
+        __NAME__(                                                                               \
+                const SB2_LHT& lhs,                                                             \
+                const SB2_RHT& rhs                                                              \
+        ){                                                                                      \
+                return sugar::SugarBlock_2< (LHS_NA||RHS_NA) ,double,double,SB2_LHT,double,SB2_RHT >(\
+                        __SYMBOL__ , lhs, rhs                                                   \
+                ) ;                                                                             \
+        }                                                                                       \
+        template <bool LHS_NA, typename LHS_T>                                                  \
+        inline sugar::SugarBlock_2__VP<LHS_NA,double,double,SB2_LHT,double>                     \
+        __NAME__(                                                                               \
+                const SB2_LHT& lhs,                                                             \
+                double rhs                                                                      \
+        ){                                                                                      \
+                return sugar::SugarBlock_2__VP<LHS_NA,double,double,SB2_LHT,double>(            \
+                        __SYMBOL__ , lhs, rhs                                                   \
+                ) ;                                                                             \
+        }                                                                                       \
+        template <bool RHS_NA, typename RHS_T>                                                  \
+        inline sugar::SugarBlock_2__PV<RHS_NA,double,double,double,SB2_RHT>                     \
+        __NAME__(                                                                               \
+                double lhs,                                                                     \
+                const SB2_RHT& rhs                                                              \
+        ){                                                                                      \
+                return sugar::SugarBlock_2__PV<RHS_NA,double,double,double,SB2_RHT >(           \
+                        __SYMBOL__ , lhs, rhs                                                   \
+                ) ;                                                                             \
+        }                                                                                       \
+        }
+
+
+#define SUGAR_BLOCK_2_NA(__NAME__,__SYMBOL__,__NA__)                                            \
+        namespace Rcpp{                                                                         \
+        template <bool LHS_NA, typename LHS_T, bool RHS_NA, typename RHS_T >                    \
+        inline sugar::SugarBlock_2< __NA__ ,double,double,SB2_LHT,double,SB2_RHT>               \
+        __NAME__(                                                                               \
+                const SB2_LHT& lhs,                                                             \
+                const SB2_RHT& rhs                                                              \
+        ){                                                                                      \
+                return sugar::SugarBlock_2< __NA__ ,double,double,SB2_LHT,double,SB2_RHT        \
+                >(                                                                              \
+                        __SYMBOL__ , lhs, rhs                                                   \
+                ) ;                                                                             \
+        }                                                                                       \
+        template <bool LHS_NA, typename LHS_T>                                                  \
+        inline sugar::SugarBlock_2__VP<__NA__,double,double,SB2_LHT,double>                     \
+        __NAME__(                                                                               \
+                const SB2_LHT& lhs,                                                             \
+                double rhs                                                                      \
+        ){                                                                                      \
+                return sugar::SugarBlock_2__VP<__NA__,double,double,SB2_LHT,double>(            \
+                        __SYMBOL__ , lhs, rhs                                                   \
+                ) ;                                                                             \
+        }                                                                                       \
+        template <bool RHS_NA, typename RHS_T>                                                  \
+        inline sugar::SugarBlock_2__PV<__NA__,double,double,double,SB2_RHT>                     \
+        __NAME__(                                                                               \
+                double lhs,                                                                     \
+                const SB2_RHT& rhs                                                              \
+        ){                                                                                      \
+                return sugar::SugarBlock_2__PV<__NA__,double,double,double,SB2_RHT              \
+                >(                                                                              \
+                        __SYMBOL__ , lhs, rhs                                                   \
+                ) ;                                                                             \
+        }                                                                                       \
+        }
+
+
+#endif
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/htmltools/R/htmltools.rdb
===================================================================
Cannot display: file marked as a binary type.
svn:mime-type = application/octet-stream

Property changes on: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/htmltools/R/htmltools.rdb
___________________________________________________________________
Added: svn:mime-type
   + application/octet-stream

Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/htmltools/R/htmltools.rdx
===================================================================
Cannot display: file marked as a binary type.
svn:mime-type = application/octet-stream

Property changes on: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/htmltools/R/htmltools.rdx
___________________________________________________________________
Added: svn:mime-type
   + application/octet-stream

Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/htmltools/R/htmltools
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/htmltools/R/htmltools	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/htmltools/R/htmltools	(revision 3761)
@@ -0,0 +1,27 @@
+#  File share/R/nspackloader.R
+#  Part of the R package, https://www.R-project.org
+#
+#  Copyright (C) 1995-2012 The R Core Team
+#
+#  This program is free software; you can redistribute it and/or modify
+#  it under the terms of the GNU General Public License as published by
+#  the Free Software Foundation; either version 2 of the License, or
+#  (at your option) any later version.
+#
+#  This program is distributed in the hope that it will be useful,
+#  but WITHOUT ANY WARRANTY; without even the implied warranty of
+#  MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
+#  GNU General Public License for more details.
+#
+#  A copy of the GNU General Public License is available at
+#  https://www.r-project.org/Licenses/
+
+local({
+    info <- loadingNamespaceInfo()
+    pkg <- info$pkgname
+    ns <- .getNamespace(as.name(pkg))
+    if (is.null(ns))
+        stop("cannot find namespace environment for ", pkg, domain = NA);
+    dbbase <- file.path(info$libname, pkg, "R", pkg)
+    lazyLoad(dbbase, ns, filter = function(n) n != ".__NAMESPACE__.")
+})
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/htmltools/html/R.css
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/htmltools/html/R.css	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/htmltools/html/R.css	(revision 3761)
@@ -0,0 +1,120 @@
+@media screen {
+    .container {
+	padding-right: 10px;
+	padding-left: 10px;
+	margin-right: auto;
+	margin-left: auto;
+	max-width: 900px;
+    }
+}
+
+.rimage img { /* from knitr - for examples and demos */
+    width: 96%;
+    margin-left: 2%;
+} 	
+
+.katex { font-size: 1.1em; }
+
+code {
+    color: inherit;
+    background: inherit;
+}
+
+body {
+    line-height: 1.4;
+    background: white;
+    color: black;
+}
+
+a:link {
+    background: white;
+    color: blue;
+}
+
+a:visited {
+    background: white;
+    color: rgb(50%, 0%, 50%);
+}
+
+h1 {
+    background: white;
+    color: rgb(55%, 55%, 55%);
+    font-family: monospace;
+    font-size: 1.4em; /* x-large; */
+    text-align: center;
+}
+
+h2 {
+    background: white;
+    color: rgb(40%, 40%, 40%);
+    font-family: monospace;
+    font-size: 1.2em; /* large; */
+    text-align: center;
+}
+
+h3 {
+    background: white;
+    color: rgb(40%, 40%, 40%);
+    font-family: monospace;
+    font-size: 1.2em; /* large; */
+}
+
+h4 {
+    background: white;
+    color: rgb(40%, 40%, 40%);
+    font-family: monospace;
+    font-style: italic;
+    font-size: 1.2em; /* large; */
+}
+
+h5 {
+    background: white;
+    color: rgb(40%, 40%, 40%);
+    font-family: monospace;
+}
+
+h6 {
+    background: white;
+    color: rgb(40%, 40%, 40%);
+    font-family: monospace;
+    font-style: italic;
+}
+
+img.toplogo {
+    width: 4em;
+    vertical-align: middle;
+}
+
+img.arrow {
+    width: 30px;
+    height: 30px;
+    border: 0;
+}
+
+span.acronym {
+    font-size: small;
+}
+
+span.env {
+    font-family: monospace;
+}
+
+span.file {
+    font-family: monospace;
+}
+
+span.option{
+    font-family: monospace;
+}
+
+span.pkg {
+    font-weight: bold;
+}
+
+span.samp{
+    font-family: monospace;
+}
+
+div.vignettes a:hover {
+    background: rgb(85%, 85%, 85%);
+}
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/htmltools/html/00Index.html
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/htmltools/html/00Index.html	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/htmltools/html/00Index.html	(revision 3761)
@@ -0,0 +1,189 @@
+<!DOCTYPE html>
+<html>
+<head><title>R: Tools for HTML</title>
+<meta http-equiv="Content-Type" content="text/html; charset=utf-8" />
+<meta name="viewport" content="width=device-width, initial-scale=1.0, user-scalable=yes" />
+<link rel="stylesheet" type="text/css" href="R.css" />
+</head><body><div class="container">
+<h1> Tools for HTML
+<img class="toplogo" src="../../../doc/html/Rlogo.svg" alt="[R logo]" />
+</h1>
+<hr/>
+<div style="text-align: center;">
+<a href="../../../doc/html/packages.html"><img class="arrow" src="../../../doc/html/left.jpg" alt="[Up]" /></a>
+<a href="../../../doc/html/index.html"><img class="arrow" src="../../../doc/html/up.jpg" alt="[Top]" /></a>
+</div><h2>Documentation for package &lsquo;htmltools&rsquo; version 0.5.4</h2>
+
+<ul><li><a href="../DESCRIPTION">DESCRIPTION file</a>.</li>
+</ul>
+
+<h2>Help Pages</h2>
+
+
+<table style="width: 100%;">
+<tr><td style="width: 25%;"><a href="builder.html">a</a></td>
+<td>Create HTML tags</td></tr>
+<tr><td style="width: 25%;"><a href="as.tags.html">as.tags</a></td>
+<td>Convert a value to tags</td></tr>
+<tr><td style="width: 25%;"><a href="htmlDependencies.html">attachDependencies</a></td>
+<td>HTML dependency metadata</td></tr>
+<tr><td style="width: 25%;"><a href="bindFillRole.html">bindFillRole</a></td>
+<td>Allow tags to intelligently fill their container</td></tr>
+<tr><td style="width: 25%;"><a href="builder.html">br</a></td>
+<td>Create HTML tags</td></tr>
+<tr><td style="width: 25%;"><a href="browsable.html">browsable</a></td>
+<td>Make an HTML object browsable</td></tr>
+<tr><td style="width: 25%;"><a href="builder.html">builder</a></td>
+<td>Create HTML tags</td></tr>
+<tr><td style="width: 25%;"><a href="capturePlot.html">capturePlot</a></td>
+<td>Capture a plot as a saved file</td></tr>
+<tr><td style="width: 25%;"><a href="builder.html">code</a></td>
+<td>Create HTML tags</td></tr>
+<tr><td style="width: 25%;"><a href="copyDependencyToDir.html">copyDependencyToDir</a></td>
+<td>Copy an HTML dependency to a directory</td></tr>
+<tr><td style="width: 25%;"><a href="css.html">css</a></td>
+<td>CSS string helper</td></tr>
+<tr><td style="width: 25%;"><a href="defaultPngDevice.html">defaultPngDevice</a></td>
+<td>Determine the best PNG device for your system</td></tr>
+<tr><td style="width: 25%;"><a href="builder.html">div</a></td>
+<td>Create HTML tags</td></tr>
+<tr><td style="width: 25%;"><a href="renderTags.html">doRenderTags</a></td>
+<td>Render tags into HTML</td></tr>
+<tr><td style="width: 25%;"><a href="builder.html">em</a></td>
+<td>Create HTML tags</td></tr>
+<tr><td style="width: 25%;"><a href="htmlPreserve.html">extractPreserveChunks</a></td>
+<td>Preserve HTML regions</td></tr>
+<tr><td style="width: 25%;"><a href="findDependencies.html">findDependencies</a></td>
+<td>Collect attached dependencies from HTML tag object</td></tr>
+<tr><td style="width: 25%;"><a href="builder.html">h1</a></td>
+<td>Create HTML tags</td></tr>
+<tr><td style="width: 25%;"><a href="builder.html">h2</a></td>
+<td>Create HTML tags</td></tr>
+<tr><td style="width: 25%;"><a href="builder.html">h3</a></td>
+<td>Create HTML tags</td></tr>
+<tr><td style="width: 25%;"><a href="builder.html">h4</a></td>
+<td>Create HTML tags</td></tr>
+<tr><td style="width: 25%;"><a href="builder.html">h5</a></td>
+<td>Create HTML tags</td></tr>
+<tr><td style="width: 25%;"><a href="builder.html">h6</a></td>
+<td>Create HTML tags</td></tr>
+<tr><td style="width: 25%;"><a href="builder.html">hr</a></td>
+<td>Create HTML tags</td></tr>
+<tr><td style="width: 25%;"><a href="HTML.html">HTML</a></td>
+<td>Mark Characters as HTML</td></tr>
+<tr><td style="width: 25%;"><a href="htmlDependencies.html">htmlDependencies</a></td>
+<td>HTML dependency metadata</td></tr>
+<tr><td style="width: 25%;"><a href="htmlDependencies.html">htmlDependencies&lt;-</a></td>
+<td>HTML dependency metadata</td></tr>
+<tr><td style="width: 25%;"><a href="htmlDependency.html">htmlDependency</a></td>
+<td>Define an HTML dependency</td></tr>
+<tr><td style="width: 25%;"><a href="htmlEscape.html">htmlEscape</a></td>
+<td>Escape HTML entities</td></tr>
+<tr><td style="width: 25%;"><a href="htmlPreserve.html">htmlPreserve</a></td>
+<td>Preserve HTML regions</td></tr>
+<tr><td style="width: 25%;"><a href="htmlTemplate.html">htmlTemplate</a></td>
+<td>Process an HTML template</td></tr>
+<tr><td style="width: 25%;"><a href="html_print.html">html_print</a></td>
+<td>Implementation of the print method for HTML</td></tr>
+<tr><td style="width: 25%;"><a href="builder.html">img</a></td>
+<td>Create HTML tags</td></tr>
+<tr><td style="width: 25%;"><a href="include.html">include</a></td>
+<td>Include Content From a File</td></tr>
+<tr><td style="width: 25%;"><a href="include.html">includeCSS</a></td>
+<td>Include Content From a File</td></tr>
+<tr><td style="width: 25%;"><a href="include.html">includeHTML</a></td>
+<td>Include Content From a File</td></tr>
+<tr><td style="width: 25%;"><a href="include.html">includeMarkdown</a></td>
+<td>Include Content From a File</td></tr>
+<tr><td style="width: 25%;"><a href="include.html">includeScript</a></td>
+<td>Include Content From a File</td></tr>
+<tr><td style="width: 25%;"><a href="include.html">includeText</a></td>
+<td>Include Content From a File</td></tr>
+<tr><td style="width: 25%;"><a href="browsable.html">is.browsable</a></td>
+<td>Make an HTML object browsable</td></tr>
+<tr><td style="width: 25%;"><a href="singleton.html">is.singleton</a></td>
+<td>Include content only once</td></tr>
+<tr><td style="width: 25%;"><a href="knitr_methods.html">knitr_methods</a></td>
+<td>Knitr S3 methods</td></tr>
+<tr><td style="width: 25%;"><a href="knitr_methods.html">knit_print.html</a></td>
+<td>Knitr S3 methods</td></tr>
+<tr><td style="width: 25%;"><a href="knitr_methods.html">knit_print.shiny.tag</a></td>
+<td>Knitr S3 methods</td></tr>
+<tr><td style="width: 25%;"><a href="knitr_methods.html">knit_print.shiny.tag.list</a></td>
+<td>Knitr S3 methods</td></tr>
+<tr><td style="width: 25%;"><a href="makeDependencyRelative.html">makeDependencyRelative</a></td>
+<td>Make an absolute dependency relative</td></tr>
+<tr><td style="width: 25%;"><a href="builder.html">p</a></td>
+<td>Create HTML tags</td></tr>
+<tr><td style="width: 25%;"><a href="parseCssColors.html">parseCssColors</a></td>
+<td>Parse CSS color strings</td></tr>
+<tr><td style="width: 25%;"><a href="plotTag.html">plotTag</a></td>
+<td>Capture a plot as a self-contained &lt;img&gt; tag</td></tr>
+<tr><td style="width: 25%;"><a href="builder.html">pre</a></td>
+<td>Create HTML tags</td></tr>
+<tr><td style="width: 25%;"><a href="print.html.html">print.html</a></td>
+<td>Print method for HTML/tags</td></tr>
+<tr><td style="width: 25%;"><a href="print.html.html">print.shiny.tag</a></td>
+<td>Print method for HTML/tags</td></tr>
+<tr><td style="width: 25%;"><a href="renderDependencies.html">renderDependencies</a></td>
+<td>Create HTML for dependencies</td></tr>
+<tr><td style="width: 25%;"><a href="renderDocument.html">renderDocument</a></td>
+<td>Render an html_document object</td></tr>
+<tr><td style="width: 25%;"><a href="renderTags.html">renderTags</a></td>
+<td>Render tags into HTML</td></tr>
+<tr><td style="width: 25%;"><a href="resolveDependencies.html">resolveDependencies</a></td>
+<td>Resolve a list of dependencies</td></tr>
+<tr><td style="width: 25%;"><a href="htmlPreserve.html">restorePreserveChunks</a></td>
+<td>Preserve HTML regions</td></tr>
+<tr><td style="width: 25%;"><a href="save_html.html">save_html</a></td>
+<td>Save an HTML object to a file</td></tr>
+<tr><td style="width: 25%;"><a href="singleton.html">singleton</a></td>
+<td>Include content only once</td></tr>
+<tr><td style="width: 25%;"><a href="singleton_tools.html">singleton_tools</a></td>
+<td>Singleton manipulation functions</td></tr>
+<tr><td style="width: 25%;"><a href="builder.html">span</a></td>
+<td>Create HTML tags</td></tr>
+<tr><td style="width: 25%;"><a href="builder.html">strong</a></td>
+<td>Create HTML tags</td></tr>
+<tr><td style="width: 25%;"><a href="subtractDependencies.html">subtractDependencies</a></td>
+<td>Subtract dependencies</td></tr>
+<tr><td style="width: 25%;"><a href="suppressDependencies.html">suppressDependencies</a></td>
+<td>Suppress web dependencies</td></tr>
+<tr><td style="width: 25%;"><a href="singleton_tools.html">surroundSingletons</a></td>
+<td>Singleton manipulation functions</td></tr>
+<tr><td style="width: 25%;"><a href="builder.html">tag</a></td>
+<td>Create HTML tags</td></tr>
+<tr><td style="width: 25%;"><a href="tagAddRenderHook.html">tagAddRenderHook</a></td>
+<td>Modify a tag prior to rendering</td></tr>
+<tr><td style="width: 25%;"><a href="tagAppendAttributes.html">tagAppendAttributes</a></td>
+<td>Append tag attributes</td></tr>
+<tr><td style="width: 25%;"><a href="tagAppendChild.html">tagAppendChild</a></td>
+<td>Modify tag contents</td></tr>
+<tr><td style="width: 25%;"><a href="tagAppendChild.html">tagAppendChildren</a></td>
+<td>Modify tag contents</td></tr>
+<tr><td style="width: 25%;"><a href="tagFunction.html">tagFunction</a></td>
+<td>Tag function</td></tr>
+<tr><td style="width: 25%;"><a href="tagAppendAttributes.html">tagGetAttribute</a></td>
+<td>Append tag attributes</td></tr>
+<tr><td style="width: 25%;"><a href="tagAppendAttributes.html">tagHasAttribute</a></td>
+<td>Append tag attributes</td></tr>
+<tr><td style="width: 25%;"><a href="tagAppendChild.html">tagInsertChildren</a></td>
+<td>Modify tag contents</td></tr>
+<tr><td style="width: 25%;"><a href="tagList.html">tagList</a></td>
+<td>Create a list of tags</td></tr>
+<tr><td style="width: 25%;"><a href="tagQuery.html">tagQuery</a></td>
+<td>Query and modify HTML tags</td></tr>
+<tr><td style="width: 25%;"><a href="builder.html">tags</a></td>
+<td>Create HTML tags</td></tr>
+<tr><td style="width: 25%;"><a href="tagAppendChild.html">tagSetChildren</a></td>
+<td>Modify tag contents</td></tr>
+<tr><td style="width: 25%;"><a href="singleton_tools.html">takeSingletons</a></td>
+<td>Singleton manipulation functions</td></tr>
+<tr><td style="width: 25%;"><a href="urlEncodePath.html">urlEncodePath</a></td>
+<td>Encode a URL path</td></tr>
+<tr><td style="width: 25%;"><a href="validateCssUnit.html">validateCssUnit</a></td>
+<td>Validate proper CSS formatting of a unit</td></tr>
+<tr><td style="width: 25%;"><a href="withTags.html">withTags</a></td>
+<td>Evaluate an expression using 'tags'</td></tr>
+</table>
+</div></body></html>
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/htmltools/Meta/Rd.rds
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Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/htmltools/Meta/nsInfo.rds
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Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/htmltools/Meta/hsearch.rds
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===================================================================
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===================================================================
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   + application/octet-stream

Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/htmltools/fill/fill.css
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/htmltools/fill/fill.css	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/htmltools/fill/fill.css	(revision 3761)
@@ -0,0 +1,14 @@
+.html-fill-container {
+  display: flex;
+  flex-direction: column;
+  overflow: auto;
+  width: 100%;
+}
+.html-fill-container > .html-fill-item {
+  flex: 1 1 auto;
+  overflow: auto;
+  width: 100%;
+}
+.html-fill-container > .html-fill-item.html-fill-item-overflow-hidden {
+  overflow: hidden;
+}
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/htmltools/libs/x64/htmltools.dll
===================================================================
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Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/carData/html/R.css
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/carData/html/R.css	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/carData/html/R.css	(revision 3761)
@@ -0,0 +1,120 @@
+@media screen {
+    .container {
+	padding-right: 10px;
+	padding-left: 10px;
+	margin-right: auto;
+	margin-left: auto;
+	max-width: 900px;
+    }
+}
+
+.rimage img { /* from knitr - for examples and demos */
+    width: 96%;
+    margin-left: 2%;
+} 	
+
+.katex { font-size: 1.1em; }
+
+code {
+    color: inherit;
+    background: inherit;
+}
+
+body {
+    line-height: 1.4;
+    background: white;
+    color: black;
+}
+
+a:link {
+    background: white;
+    color: blue;
+}
+
+a:visited {
+    background: white;
+    color: rgb(50%, 0%, 50%);
+}
+
+h1 {
+    background: white;
+    color: rgb(55%, 55%, 55%);
+    font-family: monospace;
+    font-size: 1.4em; /* x-large; */
+    text-align: center;
+}
+
+h2 {
+    background: white;
+    color: rgb(40%, 40%, 40%);
+    font-family: monospace;
+    font-size: 1.2em; /* large; */
+    text-align: center;
+}
+
+h3 {
+    background: white;
+    color: rgb(40%, 40%, 40%);
+    font-family: monospace;
+    font-size: 1.2em; /* large; */
+}
+
+h4 {
+    background: white;
+    color: rgb(40%, 40%, 40%);
+    font-family: monospace;
+    font-style: italic;
+    font-size: 1.2em; /* large; */
+}
+
+h5 {
+    background: white;
+    color: rgb(40%, 40%, 40%);
+    font-family: monospace;
+}
+
+h6 {
+    background: white;
+    color: rgb(40%, 40%, 40%);
+    font-family: monospace;
+    font-style: italic;
+}
+
+img.toplogo {
+    width: 4em;
+    vertical-align: middle;
+}
+
+img.arrow {
+    width: 30px;
+    height: 30px;
+    border: 0;
+}
+
+span.acronym {
+    font-size: small;
+}
+
+span.env {
+    font-family: monospace;
+}
+
+span.file {
+    font-family: monospace;
+}
+
+span.option{
+    font-family: monospace;
+}
+
+span.pkg {
+    font-weight: bold;
+}
+
+span.samp{
+    font-family: monospace;
+}
+
+div.vignettes a:hover {
+    background: rgb(85%, 85%, 85%);
+}
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/carData/html/00Index.html
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/carData/html/00Index.html	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/carData/html/00Index.html	(revision 3761)
@@ -0,0 +1,152 @@
+<!DOCTYPE html>
+<html>
+<head><title>R: Companion to Applied Regression Data Sets</title>
+<meta http-equiv="Content-Type" content="text/html; charset=utf-8" />
+<meta name="viewport" content="width=device-width, initial-scale=1.0, user-scalable=yes" />
+<link rel="stylesheet" type="text/css" href="R.css" />
+</head><body><div class="container">
+<h1> Companion to Applied Regression Data Sets
+<img class="toplogo" src="../../../doc/html/Rlogo.svg" alt="[R logo]" />
+</h1>
+<hr/>
+<div style="text-align: center;">
+<a href="../../../doc/html/packages.html"><img class="arrow" src="../../../doc/html/left.jpg" alt="[Up]" /></a>
+<a href="../../../doc/html/index.html"><img class="arrow" src="../../../doc/html/up.jpg" alt="[Top]" /></a>
+</div><h2>Documentation for package &lsquo;carData&rsquo; version 3.0-5</h2>
+
+<ul><li><a href="../DESCRIPTION">DESCRIPTION file</a>.</li>
+<li><a href="../NEWS">Package NEWS</a>.</li>
+</ul>
+
+<h2>Help Pages</h2>
+
+
+<table style="width: 100%;">
+<tr><td style="width: 25%;"><a href="Adler.html">Adler</a></td>
+<td>Experimenter Expectations</td></tr>
+<tr><td style="width: 25%;"><a href="AMSsurvey.html">AMSsurvey</a></td>
+<td>American Math Society Survey Data</td></tr>
+<tr><td style="width: 25%;"><a href="Angell.html">Angell</a></td>
+<td>Moral Integration of American Cities</td></tr>
+<tr><td style="width: 25%;"><a href="Anscombe.html">Anscombe</a></td>
+<td>U. S. State Public-School Expenditures</td></tr>
+<tr><td style="width: 25%;"><a href="Arrests.html">Arrests</a></td>
+<td>Arrests for Marijuana Possession</td></tr>
+<tr><td style="width: 25%;"><a href="Baumann.html">Baumann</a></td>
+<td>Methods of Teaching Reading Comprehension</td></tr>
+<tr><td style="width: 25%;"><a href="BEPS.html">BEPS</a></td>
+<td>British Election Panel Study</td></tr>
+<tr><td style="width: 25%;"><a href="Bfox.html">Bfox</a></td>
+<td>Canadian Women's Labour-Force Participation</td></tr>
+<tr><td style="width: 25%;"><a href="Blackmore.html">Blackmore</a></td>
+<td>Exercise Histories of Eating-Disordered and Control Subjects</td></tr>
+<tr><td style="width: 25%;"><a href="Burt.html">Burt</a></td>
+<td>Fraudulent Data on IQs of Twins Raised Apart</td></tr>
+<tr><td style="width: 25%;"><a href="CanPop.html">CanPop</a></td>
+<td>Canadian Population Data</td></tr>
+<tr><td style="width: 25%;"><a href="CES11.html">CES11</a></td>
+<td>2011 Canadian National Election Study, With Attitude Toward Abortion</td></tr>
+<tr><td style="width: 25%;"><a href="Chile.html">Chile</a></td>
+<td>Voting Intentions in the 1988 Chilean Plebiscite</td></tr>
+<tr><td style="width: 25%;"><a href="Chirot.html">Chirot</a></td>
+<td>The 1907 Romanian Peasant Rebellion</td></tr>
+<tr><td style="width: 25%;"><a href="Cowles.html">Cowles</a></td>
+<td>Cowles and Davis's Data on Volunteering</td></tr>
+<tr><td style="width: 25%;"><a href="Davis.html">Davis</a></td>
+<td>Self-Reports of Height and Weight</td></tr>
+<tr><td style="width: 25%;"><a href="DavisThin.html">DavisThin</a></td>
+<td>Davis's Data on Drive for Thinness</td></tr>
+<tr><td style="width: 25%;"><a href="Depredations.html">Depredations</a></td>
+<td>Minnesota Wolf Depredation Data</td></tr>
+<tr><td style="width: 25%;"><a href="Duncan.html">Duncan</a></td>
+<td>Duncan's Occupational Prestige Data</td></tr>
+<tr><td style="width: 25%;"><a href="Ericksen.html">Ericksen</a></td>
+<td>The 1980 U.S. Census Undercount</td></tr>
+<tr><td style="width: 25%;"><a href="Florida.html">Florida</a></td>
+<td>Florida County Voting</td></tr>
+<tr><td style="width: 25%;"><a href="Freedman.html">Freedman</a></td>
+<td>Crowding and Crime in U. S. Metropolitan Areas</td></tr>
+<tr><td style="width: 25%;"><a href="Friendly.html">Friendly</a></td>
+<td>Format Effects on Recall</td></tr>
+<tr><td style="width: 25%;"><a href="Ginzberg.html">Ginzberg</a></td>
+<td>Data on Depression</td></tr>
+<tr><td style="width: 25%;"><a href="Greene.html">Greene</a></td>
+<td>Refugee Appeals</td></tr>
+<tr><td style="width: 25%;"><a href="GSSvocab.html">GSSvocab</a></td>
+<td>Data from the General Social Survey (GSS) from the National Opinion Research Center of the University of Chicago.</td></tr>
+<tr><td style="width: 25%;"><a href="Guyer.html">Guyer</a></td>
+<td>Anonymity and Cooperation</td></tr>
+<tr><td style="width: 25%;"><a href="Hartnagel.html">Hartnagel</a></td>
+<td>Canadian Crime-Rates Time Series</td></tr>
+<tr><td style="width: 25%;"><a href="Highway1.html">Highway1</a></td>
+<td>Highway Accidents</td></tr>
+<tr><td style="width: 25%;"><a href="KosteckiDillon.html">KosteckiDillon</a></td>
+<td>Treatment of Migraine Headaches</td></tr>
+<tr><td style="width: 25%;"><a href="Leinhardt.html">Leinhardt</a></td>
+<td>Data on Infant-Mortality</td></tr>
+<tr><td style="width: 25%;"><a href="LoBD.html">LoBD</a></td>
+<td>Cancer drug data use to provide an example of the use of the skew power distributions.</td></tr>
+<tr><td style="width: 25%;"><a href="Mandel.html">Mandel</a></td>
+<td>Contrived Collinear Data</td></tr>
+<tr><td style="width: 25%;"><a href="Migration.html">Migration</a></td>
+<td>Canadian Interprovincial Migration Data</td></tr>
+<tr><td style="width: 25%;"><a href="Moore.html">Moore</a></td>
+<td>Status, Authoritarianism, and Conformity</td></tr>
+<tr><td style="width: 25%;"><a href="Mplsdemo.html">MplsDemo</a></td>
+<td>Minneapolis Demographic Data 2015, by Neighborhood</td></tr>
+<tr><td style="width: 25%;"><a href="MplsStops.html">MplsStops</a></td>
+<td>Minneapolis Police Department 2017 Stop Data</td></tr>
+<tr><td style="width: 25%;"><a href="Mroz.html">Mroz</a></td>
+<td>U.S. Women's Labor-Force Participation</td></tr>
+<tr><td style="width: 25%;"><a href="OBrienKaiser.html">OBrienKaiser</a></td>
+<td>O'Brien and Kaiser's Repeated-Measures Data</td></tr>
+<tr><td style="width: 25%;"><a href="OBrienKaiserLong.html">OBrienKaiserLong</a></td>
+<td>O'Brien and Kaiser's Repeated-Measures Data in "Long" Format</td></tr>
+<tr><td style="width: 25%;"><a href="Ornstein.html">Ornstein</a></td>
+<td>Interlocking Directorates Among Major Canadian Firms</td></tr>
+<tr><td style="width: 25%;"><a href="Pottery.html">Pottery</a></td>
+<td>Chemical Composition of Pottery</td></tr>
+<tr><td style="width: 25%;"><a href="Prestige.html">Prestige</a></td>
+<td>Prestige of Canadian Occupations</td></tr>
+<tr><td style="width: 25%;"><a href="Quartet.html">Quartet</a></td>
+<td>Four Regression Datasets</td></tr>
+<tr><td style="width: 25%;"><a href="Robey.html">Robey</a></td>
+<td>Fertility and Contraception</td></tr>
+<tr><td style="width: 25%;"><a href="Rossi.html">Rossi</a></td>
+<td>Rossi et al.'s Criminal Recidivism Data</td></tr>
+<tr><td style="width: 25%;"><a href="Sahlins.html">Sahlins</a></td>
+<td>Agricultural Production in Mazulu Village</td></tr>
+<tr><td style="width: 25%;"><a href="Salaries.html">Salaries</a></td>
+<td>Salaries for Professors</td></tr>
+<tr><td style="width: 25%;"><a href="SLID.html">SLID</a></td>
+<td>Survey of Labour and Income Dynamics</td></tr>
+<tr><td style="width: 25%;"><a href="Soils.html">Soils</a></td>
+<td>Soil Compositions of Physical and Chemical Characteristics</td></tr>
+<tr><td style="width: 25%;"><a href="States.html">States</a></td>
+<td>Education and Related Statistics for the U.S. States</td></tr>
+<tr><td style="width: 25%;"><a href="TitanicSurvival.html">TitanicSurvival</a></td>
+<td>Survival of Passengers on the Titanic</td></tr>
+<tr><td style="width: 25%;"><a href="Transact.html">Transact</a></td>
+<td>Transaction data</td></tr>
+<tr><td style="width: 25%;"><a href="UN.html">UN</a></td>
+<td>National Statistics from the United Nations, Mostly From 2009-2011</td></tr>
+<tr><td style="width: 25%;"><a href="UN98.html">UN98</a></td>
+<td>United Nations Social Indicators Data 1998]</td></tr>
+<tr><td style="width: 25%;"><a href="USPop.html">USPop</a></td>
+<td>Population of the United States</td></tr>
+<tr><td style="width: 25%;"><a href="Vocab.html">Vocab</a></td>
+<td>Vocabulary and Education</td></tr>
+<tr><td style="width: 25%;"><a href="WeightLoss.html">WeightLoss</a></td>
+<td>Weight Loss Data</td></tr>
+<tr><td style="width: 25%;"><a href="Wells.html">Wells</a></td>
+<td>Well Switching in Bangladesh</td></tr>
+<tr><td style="width: 25%;"><a href="Womenlf.html">Womenlf</a></td>
+<td>Canadian Women's Labour-Force Participation</td></tr>
+<tr><td style="width: 25%;"><a href="Wong.html">Wong</a></td>
+<td>Post-Coma Recovery of IQ</td></tr>
+<tr><td style="width: 25%;"><a href="Wool.html">Wool</a></td>
+<td>Wool data</td></tr>
+<tr><td style="width: 25%;"><a href="WVS.html">WVS</a></td>
+<td>World Values Surveys</td></tr>
+</table>
+</div></body></html>
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/carData/Meta/links.rds
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Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/carData/Meta/Rd.rds
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Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/carData/Meta/data.rds
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Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/carData/Meta/package.rds
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Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/carData/Meta/nsInfo.rds
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Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/carData/Meta/hsearch.rds
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Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/carData/Meta/features.rds
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Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/carData/help/carData.rdb
===================================================================
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Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/carData/help/AnIndex
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/carData/help/AnIndex	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/carData/help/AnIndex	(revision 3761)
@@ -0,0 +1,63 @@
+Adler	Adler
+AMSsurvey	AMSsurvey
+Angell	Angell
+Anscombe	Anscombe
+Arrests	Arrests
+Baumann	Baumann
+BEPS	BEPS
+Bfox	Bfox
+Blackmore	Blackmore
+Burt	Burt
+CanPop	CanPop
+CES11	CES11
+Chile	Chile
+Chirot	Chirot
+Cowles	Cowles
+Davis	Davis
+DavisThin	DavisThin
+Depredations	Depredations
+Duncan	Duncan
+Ericksen	Ericksen
+Florida	Florida
+Freedman	Freedman
+Friendly	Friendly
+Ginzberg	Ginzberg
+Greene	Greene
+GSSvocab	GSSvocab
+Guyer	Guyer
+Hartnagel	Hartnagel
+Highway1	Highway1
+KosteckiDillon	KosteckiDillon
+Leinhardt	Leinhardt
+LoBD	LoBD
+Mandel	Mandel
+Migration	Migration
+Moore	Moore
+MplsDemo	Mplsdemo
+MplsStops	MplsStops
+Mroz	Mroz
+OBrienKaiser	OBrienKaiser
+OBrienKaiserLong	OBrienKaiserLong
+Ornstein	Ornstein
+Pottery	Pottery
+Prestige	Prestige
+Quartet	Quartet
+Robey	Robey
+Rossi	Rossi
+Sahlins	Sahlins
+Salaries	Salaries
+SLID	SLID
+Soils	Soils
+States	States
+TitanicSurvival	TitanicSurvival
+Transact	Transact
+UN	UN
+UN98	UN98
+USPop	USPop
+Vocab	Vocab
+WeightLoss	WeightLoss
+Wells	Wells
+Womenlf	Womenlf
+Wong	Wong
+Wool	Wool
+WVS	WVS
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/carData/help/paths.rds
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Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/carData/help/aliases.rds
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Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/carData/help/carData.rdx
===================================================================
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Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/carData/data/Rdata.rdx
===================================================================
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Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/carData/data/Rdata.rdb
===================================================================
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___________________________________________________________________
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Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/carData/data/Rdata.rds
===================================================================
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___________________________________________________________________
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Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/graphics/R/graphics.rdx
===================================================================
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___________________________________________________________________
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Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/graphics/R/graphics
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/graphics/R/graphics	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/graphics/R/graphics	(revision 3761)
@@ -0,0 +1,27 @@
+#  File share/R/nspackloader.R
+#  Part of the R package, https://www.R-project.org
+#
+#  Copyright (C) 1995-2012 The R Core Team
+#
+#  This program is free software; you can redistribute it and/or modify
+#  it under the terms of the GNU General Public License as published by
+#  the Free Software Foundation; either version 2 of the License, or
+#  (at your option) any later version.
+#
+#  This program is distributed in the hope that it will be useful,
+#  but WITHOUT ANY WARRANTY; without even the implied warranty of
+#  MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
+#  GNU General Public License for more details.
+#
+#  A copy of the GNU General Public License is available at
+#  https://www.r-project.org/Licenses/
+
+local({
+    info <- loadingNamespaceInfo()
+    pkg <- info$pkgname
+    ns <- .getNamespace(as.name(pkg))
+    if (is.null(ns))
+        stop("cannot find namespace environment for ", pkg, domain = NA);
+    dbbase <- file.path(info$libname, pkg, "R", pkg)
+    lazyLoad(dbbase, ns, filter = function(n) n != ".__NAMESPACE__.")
+})
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/graphics/R/graphics.rdb
===================================================================
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Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/graphics/demo/Japanese.R
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/graphics/demo/Japanese.R	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/graphics/demo/Japanese.R	(revision 3761)
@@ -0,0 +1,716 @@
+#  Copyright (C) 2003-2009 The R Core Team
+
+require(grDevices); require(graphics)
+
+## --- Japanese characters in the Hershey Vector Fonts
+
+######
+# create tables of Japanese characters
+######
+make.table <- function(nr, nc) {
+    opar <- par(mar=rep(0, 4), pty="s")
+    plot(c(0, nc*(10%/%nc) + 1), c(0, -(nr + 1)),
+         type="n", xlab="", ylab="", axes=FALSE)
+    invisible(opar)
+}
+
+get.r <- function(i, nr)   i %% nr + 1
+get.c <- function(i, nr)   i %/% nr + 1
+Esc2 <- function(str)	   paste("\\", str, sep="")
+
+draw.title <- function(title, nc)
+    text((nc*(10%/%nc) + 1)/2, 0, title, font=2)
+
+draw.vf.cell <- function(typeface, fontindex, string, i, nr, raw.string=NULL) {
+    r <- get.r(i, nr)
+    c <- get.c(i, nr)
+    x0 <- 2*(c - 1)
+    if (is.null(raw.string)) raw.string <- Esc2(string)
+    text(x0 + 1.1, -r, raw.string, col="grey")
+    text(x0 + 2,   -r, string, vfont=c(typeface, fontindex))
+    rect(x0 +  .5, -(r - .5), x0 + 2.5, -(r + .5), border="grey")
+}
+
+draw.vf.cell2 <- function(string, alt, i, nr) {
+    r <- get.r(i, nr)
+    c <- get.c(i, nr)
+    x0 <- 3*(c - 1)
+    text(x0 + 1.1, -r, Esc2(string <- Esc2(string)), col="grey")
+    text(x0 + 2.2, -r, Esc2(Esc2(alt)), col="grey", cex=.6)
+    text(x0 + 3,   -r, string, vfont=c("serif", "plain"))
+    rect(x0 +  .5, -(r - .5), x0 + 3.5, -(r + .5), border="grey")
+}
+
+tf <- "serif"
+fi <- "plain"
+nr <- 25
+nc <- 4
+oldpar <- make.table(nr, nc)
+index <- 0
+digits <- c(0:9,"a","b","c","d","e","f")
+draw.title("Hiragana : \\\\#J24nn", nc)
+for (i in 2:7) {
+    for (j in 1:16) {
+	if (!((i == 2 && j == 1) || (i == 7 && j > 4))) {
+	    draw.vf.cell(tf, fi, paste("\\#J24", i, digits[j], sep=""),
+	                 index, nr)
+            index <- index + 1
+	}
+    }
+}
+
+nr <- 25
+nc <- 4
+make.table(nr, nc)
+index <- 0
+digits <- c(0:9,"a","b","c","d","e","f")
+draw.title("Katakana : \\\\#J25nn", nc)
+for (i in 2:7) {
+    for (j in 1:16) {
+	if (!((i == 2 && j == 1) || (i == 7 && j > 7))) {
+	    draw.vf.cell(tf, fi, paste("\\#J25", i, digits[j], sep=""),
+	                 index, nr)
+            index <- index + 1
+	}
+    }
+}
+
+nr <- 26
+nc <- 3
+make.table(nr, nc)
+i <- 0
+draw.title("Kanji (1)", nc)
+draw.vf.cell2("#J3021", "#N0043", i, nr); i <- i + 1
+draw.vf.cell2("#J3026", "#N2829", i, nr); i <- i + 1
+draw.vf.cell2("#J302d", "#N0062", i, nr); i <- i + 1
+draw.vf.cell2("#J3035", "#N0818", i, nr); i <- i + 1
+draw.vf.cell2("#J303f", "#N1802", i, nr); i <- i + 1
+draw.vf.cell2("#J3045", "#N2154", i, nr); i <- i + 1
+draw.vf.cell2("#J304c", "#N0401", i, nr); i <- i + 1
+draw.vf.cell2("#J3057", "#N2107", i, nr); i <- i + 1
+draw.vf.cell2("#J3059", "#N0138", i, nr); i <- i + 1
+draw.vf.cell2("#J305b", "#N3008", i, nr); i <- i + 1
+draw.vf.cell2("#J305e", "#N3579", i, nr); i <- i + 1
+draw.vf.cell2("#J3061", "#N4214", i, nr); i <- i + 1
+draw.vf.cell2("#J306c", "#N0001", i, nr); i <- i + 1
+draw.vf.cell2("#J3070", "#N3294", i, nr); i <- i + 1
+draw.vf.cell2("#J3078", "#N1026", i, nr); i <- i + 1
+draw.vf.cell2("#J307a", "#N1562", i, nr); i <- i + 1
+draw.vf.cell2("#J3122", "#N5006", i, nr); i <- i + 1
+draw.vf.cell2("#J3126", "#N0878", i, nr); i <- i + 1
+draw.vf.cell2("#J3127", "#N1280", i, nr); i <- i + 1
+draw.vf.cell2("#J3129", "#N3673", i, nr); i <- i + 1
+draw.vf.cell2("#J312b", "#N5042", i, nr); i <- i + 1
+draw.vf.cell2("#J3132", "#N2629", i, nr); i <- i + 1
+draw.vf.cell2("#J313b", "#N2973", i, nr); i <- i + 1
+draw.vf.cell2("#J313f", "#N4725", i, nr); i <- i + 1
+draw.vf.cell2("#J3140", "#N5046", i, nr); i <- i + 1
+draw.vf.cell2("#J314a", "#N0130", i, nr); i <- i + 1
+draw.vf.cell2("#J3155", "#N2599", i, nr); i <- i + 1
+draw.vf.cell2("#J315f", "#N0617", i, nr); i <- i + 1
+draw.vf.cell2("#J3173", "#N4733", i, nr); i <- i + 1
+draw.vf.cell2("#J3176", "#N1125", i, nr); i <- i + 1
+draw.vf.cell2("#J3177", "#N2083", i, nr); i <- i + 1
+draw.vf.cell2("#J317e", "#N1504", i, nr); i <- i + 1
+draw.vf.cell2("#J3221", "#N1885", i, nr); i <- i + 1
+draw.vf.cell2("#J3223", "#N2361", i, nr); i <- i + 1
+draw.vf.cell2("#J3226", "#N2922", i, nr); i <- i + 1
+draw.vf.cell2("#J322b", "#N5399", i, nr); i <- i + 1
+draw.vf.cell2("#J322f", "#N0551", i, nr); i <- i + 1
+draw.vf.cell2("#J3235", "#N0260", i, nr); i <- i + 1
+draw.vf.cell2("#J3239", "#N2634", i, nr); i <- i + 1
+draw.vf.cell2("#J323b", "#N5110", i, nr); i <- i + 1
+draw.vf.cell2("#J323c", "#N0009", i, nr); i <- i + 1
+draw.vf.cell2("#J323d", "#N0350", i, nr); i <- i + 1
+draw.vf.cell2("#J323f", "#N0409", i, nr); i <- i + 1
+draw.vf.cell2("#J3241", "#N0422", i, nr); i <- i + 1
+draw.vf.cell2("#J3243", "#N0716", i, nr); i <- i + 1
+draw.vf.cell2("#J3244", "#N0024", i, nr); i <- i + 1
+draw.vf.cell2("#J3246", "#N0058", i, nr); i <- i + 1
+draw.vf.cell2("#J3248", "#N1311", i, nr); i <- i + 1
+draw.vf.cell2("#J324a", "#N3272", i, nr); i <- i + 1
+draw.vf.cell2("#J324c", "#N0107", i, nr); i <- i + 1
+draw.vf.cell2("#J324f", "#N2530", i, nr); i <- i + 1
+draw.vf.cell2("#J3250", "#N2743", i, nr); i <- i + 1
+draw.vf.cell2("#J3256", "#N3909", i, nr); i <- i + 1
+draw.vf.cell2("#J3259", "#N3956", i, nr); i <- i + 1
+draw.vf.cell2("#J3261", "#N4723", i, nr); i <- i + 1
+draw.vf.cell2("#J3267", "#N2848", i, nr); i <- i + 1
+draw.vf.cell2("#J3268", "#N0050", i, nr); i <- i + 1
+draw.vf.cell2("#J3272", "#N4306", i, nr); i <- i + 1
+draw.vf.cell2("#J3273", "#N1028", i, nr); i <- i + 1
+draw.vf.cell2("#J3323", "#N2264", i, nr); i <- i + 1
+draw.vf.cell2("#J3324", "#N2553", i, nr); i <- i + 1
+draw.vf.cell2("#J3326", "#N2998", i, nr); i <- i + 1
+draw.vf.cell2("#J3328", "#N3537", i, nr); i <- i + 1
+draw.vf.cell2("#J332b", "#N4950", i, nr); i <- i + 1
+draw.vf.cell2("#J332d", "#N4486", i, nr); i <- i + 1
+draw.vf.cell2("#J3330", "#N1168", i, nr); i <- i + 1
+draw.vf.cell2("#J3346", "#N1163", i, nr); i <- i + 1
+draw.vf.cell2("#J334b", "#N2254", i, nr); i <- i + 1
+draw.vf.cell2("#J3351", "#N4301", i, nr); i <- i + 1
+draw.vf.cell2("#J3353", "#N4623", i, nr); i <- i + 1
+draw.vf.cell2("#J3357", "#N5088", i, nr); i <- i + 1
+draw.vf.cell2("#J3358", "#N1271", i, nr); i <- i + 1
+draw.vf.cell2("#J335a", "#N2324", i, nr); i <- i + 1
+draw.vf.cell2("#J3364", "#N0703", i, nr); i <- i + 1
+draw.vf.cell2("#J3424", "#N2977", i, nr); i <- i + 1
+draw.vf.cell2("#J3428", "#N1322", i, nr); i <- i + 1
+
+make.table(nr, nc)
+i <- 0
+draw.title("Kanji (2)", nc)
+draw.vf.cell2("#J342c", "#N1466", i, nr); i <- i + 1
+draw.vf.cell2("#J3433", "#N1492", i, nr); i <- i + 1
+draw.vf.cell2("#J3434", "#N0790", i, nr); i <- i + 1
+draw.vf.cell2("#J3436", "#N1731", i, nr); i <- i + 1
+draw.vf.cell2("#J3437", "#N1756", i, nr); i <- i + 1
+draw.vf.cell2("#J3445", "#N2988", i, nr); i <- i + 1
+draw.vf.cell2("#J3449", "#N3416", i, nr); i <- i + 1
+draw.vf.cell2("#J3454", "#N4750", i, nr); i <- i + 1
+draw.vf.cell2("#J3456", "#N4949", i, nr); i <- i + 1
+draw.vf.cell2("#J3458", "#N4958", i, nr); i <- i + 1
+draw.vf.cell2("#J346f", "#N0994", i, nr); i <- i + 1
+draw.vf.cell2("#J3470", "#N1098", i, nr); i <- i + 1
+draw.vf.cell2("#J3476", "#N1496", i, nr); i <- i + 1
+draw.vf.cell2("#J347c", "#N3785", i, nr); i <- i + 1
+draw.vf.cell2("#J3521", "#N2379", i, nr); i <- i + 1
+draw.vf.cell2("#J3522", "#N1582", i, nr); i <- i + 1
+draw.vf.cell2("#J3524", "#N2480", i, nr); i <- i + 1
+draw.vf.cell2("#J3525", "#N2507", i, nr); i <- i + 1
+draw.vf.cell2("#J352d", "#N4318", i, nr); i <- i + 1
+draw.vf.cell2("#J3530", "#N4610", i, nr); i <- i + 1
+draw.vf.cell2("#J3534", "#N5276", i, nr); i <- i + 1
+draw.vf.cell2("#J3535", "#N5445", i, nr); i <- i + 1
+draw.vf.cell2("#J3546", "#N3981", i, nr); i <- i + 1
+draw.vf.cell2("#J3555", "#N4685", i, nr); i <- i + 1
+draw.vf.cell2("#J355a", "#N0154", i, nr); i <- i + 1
+draw.vf.cell2("#J355b", "#N0885", i, nr); i <- i + 1
+draw.vf.cell2("#J355d", "#N1560", i, nr); i <- i + 1
+draw.vf.cell2("#J3565", "#N2941", i, nr); i <- i + 1
+draw.vf.cell2("#J3566", "#N3314", i, nr); i <- i + 1
+draw.vf.cell2("#J3569", "#N3496", i, nr); i <- i + 1
+draw.vf.cell2("#J356d", "#N2852", i, nr); i <- i + 1
+draw.vf.cell2("#J356e", "#N1051", i, nr); i <- i + 1
+draw.vf.cell2("#J356f", "#N1387", i, nr); i <- i + 1
+draw.vf.cell2("#J3575", "#N4109", i, nr); i <- i + 1
+draw.vf.cell2("#J3577", "#N4548", i, nr); i <- i + 1
+draw.vf.cell2("#J357b", "#N5281", i, nr); i <- i + 1
+draw.vf.cell2("#J357e", "#N0295", i, nr); i <- i + 1
+draw.vf.cell2("#J3621", "#N0431", i, nr); i <- i + 1
+draw.vf.cell2("#J3626", "#N0581", i, nr); i <- i + 1
+draw.vf.cell2("#J362d", "#N1135", i, nr); i <- i + 1
+draw.vf.cell2("#J362f", "#N1571", i, nr); i <- i + 1
+draw.vf.cell2("#J3635", "#N2052", i, nr); i <- i + 1
+draw.vf.cell2("#J3636", "#N2378", i, nr); i <- i + 1
+draw.vf.cell2("#J364a", "#N0103", i, nr); i <- i + 1
+draw.vf.cell2("#J364b", "#N2305", i, nr); i <- i + 1
+draw.vf.cell2("#J364c", "#N2923", i, nr); i <- i + 1
+draw.vf.cell2("#J3651", "#N1065", i, nr); i <- i + 1
+draw.vf.cell2("#J3661", "#N4671", i, nr); i <- i + 1
+draw.vf.cell2("#J3662", "#N4815", i, nr); i <- i + 1
+draw.vf.cell2("#J3664", "#N4855", i, nr); i <- i + 1
+draw.vf.cell2("#J3665", "#N0146", i, nr); i <- i + 1
+draw.vf.cell2("#J3671", "#N3128", i, nr); i <- i + 1
+draw.vf.cell2("#J3675", "#N3317", i, nr); i <- i + 1
+draw.vf.cell2("#J367e", "#N1386", i, nr); i <- i + 1
+draw.vf.cell2("#J3738", "#N0449", i, nr); i <- i + 1
+draw.vf.cell2("#J3739", "#N0534", i, nr); i <- i + 1
+draw.vf.cell2("#J373e", "#N2937", i, nr); i <- i + 1
+draw.vf.cell2("#J373f", "#N1077", i, nr); i <- i + 1
+draw.vf.cell2("#J3741", "#N1589", i, nr); i <- i + 1
+draw.vf.cell2("#J3742", "#N1602", i, nr); i <- i + 1
+draw.vf.cell2("#J374f", "#N0195", i, nr); i <- i + 1
+draw.vf.cell2("#J3750", "#N3523", i, nr); i <- i + 1
+draw.vf.cell2("#J3757", "#N4312", i, nr); i <- i + 1
+draw.vf.cell2("#J375a", "#N4620", i, nr); i <- i + 1
+draw.vf.cell2("#J3767", "#N2412", i, nr); i <- i + 1
+draw.vf.cell2("#J3768", "#N2509", i, nr); i <- i + 1
+draw.vf.cell2("#J376a", "#N3313", i, nr); i <- i + 1
+draw.vf.cell2("#J376b", "#N3540", i, nr); i <- i + 1
+draw.vf.cell2("#J376c", "#N4205", i, nr); i <- i + 1
+draw.vf.cell2("#J376e", "#N2169", i, nr); i <- i + 1
+draw.vf.cell2("#J3777", "#N1045", i, nr); i <- i + 1
+draw.vf.cell2("#J3824", "#N2868", i, nr); i <- i + 1
+draw.vf.cell2("#J3826", "#N3180", i, nr); i <- i + 1
+draw.vf.cell2("#J3828", "#N3543", i, nr); i <- i + 1
+draw.vf.cell2("#J382b", "#N4284", i, nr); i <- i + 1
+draw.vf.cell2("#J3833", "#N5220", i, nr); i <- i + 1
+
+make.table(nr, nc)
+i <- 0
+draw.title("Kanji (3)", nc)
+draw.vf.cell2("#J3835", "#N0275", i, nr); i <- i + 1
+draw.vf.cell2("#J3836", "#N0825", i, nr); i <- i + 1
+draw.vf.cell2("#J3839", "#N1568", i, nr); i <- i + 1
+draw.vf.cell2("#J383a", "#N2637", i, nr); i <- i + 1
+draw.vf.cell2("#J383b", "#N2656", i, nr); i <- i + 1
+draw.vf.cell2("#J383d", "#N2943", i, nr); i <- i + 1
+draw.vf.cell2("#J3840", "#N4309", i, nr); i <- i + 1
+draw.vf.cell2("#J3842", "#N4987", i, nr); i <- i + 1
+draw.vf.cell2("#J3845", "#N0770", i, nr); i <- i + 1
+draw.vf.cell2("#J3847", "#N1036", i, nr); i <- i + 1
+draw.vf.cell2("#J384c", "#N1567", i, nr); i <- i + 1
+draw.vf.cell2("#J384d", "#N1817", i, nr); i <- i + 1
+draw.vf.cell2("#J384e", "#N2044", i, nr); i <- i + 1
+draw.vf.cell2("#J385d", "#N5415", i, nr); i <- i + 1
+draw.vf.cell2("#J385e", "#N0015", i, nr); i <- i + 1
+draw.vf.cell2("#J3861", "#N0162", i, nr); i <- i + 1
+draw.vf.cell2("#J3865", "#N1610", i, nr); i <- i + 1
+draw.vf.cell2("#J3866", "#N1628", i, nr); i <- i + 1
+draw.vf.cell2("#J386c", "#N4374", i, nr); i <- i + 1
+draw.vf.cell2("#J3872", "#N0290", i, nr); i <- i + 1
+draw.vf.cell2("#J3877", "#N1358", i, nr); i <- i + 1
+draw.vf.cell2("#J3878", "#N0579", i, nr); i <- i + 1
+draw.vf.cell2("#J387d", "#N0868", i, nr); i <- i + 1
+draw.vf.cell2("#J387e", "#N0101", i, nr); i <- i + 1
+draw.vf.cell2("#J3929", "#N1451", i, nr); i <- i + 1
+draw.vf.cell2("#J3931", "#N1683", i, nr); i <- i + 1
+draw.vf.cell2("#J393d", "#N2343", i, nr); i <- i + 1
+draw.vf.cell2("#J3943", "#N0092", i, nr); i <- i + 1
+draw.vf.cell2("#J394d", "#N3684", i, nr); i <- i + 1
+draw.vf.cell2("#J3954", "#N4213", i, nr); i <- i + 1
+draw.vf.cell2("#J3955", "#N1641", i, nr); i <- i + 1
+draw.vf.cell2("#J395b", "#N4843", i, nr); i <- i + 1
+draw.vf.cell2("#J395d", "#N4883", i, nr); i <- i + 1
+draw.vf.cell2("#J395f", "#N4994", i, nr); i <- i + 1
+draw.vf.cell2("#J3960", "#N1459", i, nr); i <- i + 1
+draw.vf.cell2("#J3961", "#N5188", i, nr); i <- i + 1
+draw.vf.cell2("#J3962", "#N5248", i, nr); i <- i + 1
+draw.vf.cell2("#J3966", "#N0882", i, nr); i <- i + 1
+draw.vf.cell2("#J3967", "#N0383", i, nr); i <- i + 1
+draw.vf.cell2("#J3971", "#N1037", i, nr); i <- i + 1
+draw.vf.cell2("#J3975", "#N5403", i, nr); i <- i + 1
+draw.vf.cell2("#J397c", "#N5236", i, nr); i <- i + 1
+draw.vf.cell2("#J397e", "#N4660", i, nr); i <- i + 1
+draw.vf.cell2("#J3a21", "#N2430", i, nr); i <- i + 1
+draw.vf.cell2("#J3a23", "#N0352", i, nr); i <- i + 1
+draw.vf.cell2("#J3a2c", "#N2261", i, nr); i <- i + 1
+draw.vf.cell2("#J3a38", "#N1455", i, nr); i <- i + 1
+draw.vf.cell2("#J3a39", "#N3662", i, nr); i <- i + 1
+draw.vf.cell2("#J3a42", "#N1515", i, nr); i <- i + 1
+draw.vf.cell2("#J3a46", "#N0035", i, nr); i <- i + 1
+draw.vf.cell2("#J3a47", "#N2146", i, nr); i <- i + 1
+draw.vf.cell2("#J3a59", "#N3522", i, nr); i <- i + 1
+draw.vf.cell2("#J3a5f", "#N1055", i, nr); i <- i + 1
+draw.vf.cell2("#J3a6e", "#N0407", i, nr); i <- i + 1
+draw.vf.cell2("#J3a72", "#N2119", i, nr); i <- i + 1
+draw.vf.cell2("#J3a79", "#N2256", i, nr); i <- i + 1
+draw.vf.cell2("#J3b2e", "#N3113", i, nr); i <- i + 1
+draw.vf.cell2("#J3b30", "#N0008", i, nr); i <- i + 1
+draw.vf.cell2("#J3b33", "#N1407", i, nr); i <- i + 1
+draw.vf.cell2("#J3b36", "#N2056", i, nr); i <- i + 1
+draw.vf.cell2("#J3b3b", "#N3415", i, nr); i <- i + 1
+draw.vf.cell2("#J3b40", "#N4789", i, nr); i <- i + 1
+draw.vf.cell2("#J3b45", "#N0362", i, nr); i <- i + 1
+draw.vf.cell2("#J3b4d", "#N1025", i, nr); i <- i + 1
+draw.vf.cell2("#J3b4e", "#N1160", i, nr); i <- i + 1
+draw.vf.cell2("#J3b4f", "#N1208", i, nr); i <- i + 1
+draw.vf.cell2("#J3b52", "#N1264", i, nr); i <- i + 1
+draw.vf.cell2("#J3b54", "#N0284", i, nr); i <- i + 1
+draw.vf.cell2("#J3b57", "#N3001", i, nr); i <- i + 1
+draw.vf.cell2("#J3b58", "#N1904", i, nr); i <- i + 1
+draw.vf.cell2("#J3b59", "#N2039", i, nr); i <- i + 1
+draw.vf.cell2("#J3b5e", "#N2211", i, nr); i <- i + 1
+draw.vf.cell2("#J3b5f", "#N2429", i, nr); i <- i + 1
+draw.vf.cell2("#J3b60", "#N2439", i, nr); i <- i + 1
+draw.vf.cell2("#J3b61", "#N2478", i, nr); i <- i + 1
+draw.vf.cell2("#J3b64", "#N3265", i, nr); i <- i + 1
+
+make.table(nr, nc)
+i <- 0
+draw.title("Kanji (4)", nc)
+draw.vf.cell2("#J3b65", "#N3492", i, nr); i <- i + 1
+draw.vf.cell2("#J3b66", "#N3510", i, nr); i <- i + 1
+draw.vf.cell2("#J3b6a", "#N3845", i, nr); i <- i + 1
+draw.vf.cell2("#J3b73", "#N2435", i, nr); i <- i + 1
+draw.vf.cell2("#J3b75", "#N5428", i, nr); i <- i + 1
+draw.vf.cell2("#J3b76", "#N0272", i, nr); i <- i + 1
+draw.vf.cell2("#J3b7a", "#N1281", i, nr); i <- i + 1
+draw.vf.cell2("#J3b7d", "#N1903", i, nr); i <- i + 1
+draw.vf.cell2("#J3b7e", "#N2126", i, nr); i <- i + 1
+draw.vf.cell2("#J3c21", "#N0638", i, nr); i <- i + 1
+draw.vf.cell2("#J3c27", "#N3209", i, nr); i <- i + 1
+draw.vf.cell2("#J3c28", "#N3228", i, nr); i <- i + 1
+draw.vf.cell2("#J3c2a", "#N3697", i, nr); i <- i + 1
+draw.vf.cell2("#J3c2b", "#N3841", i, nr); i <- i + 1
+draw.vf.cell2("#J3c2d", "#N3860", i, nr); i <- i + 1
+draw.vf.cell2("#J3c2f", "#N5375", i, nr); i <- i + 1
+draw.vf.cell2("#J3c30", "#N1556", i, nr); i <- i + 1
+draw.vf.cell2("#J3c34", "#N4619", i, nr); i <- i + 1
+draw.vf.cell2("#J3c37", "#N0261", i, nr); i <- i + 1
+draw.vf.cell2("#J3c3c", "#N1300", i, nr); i <- i + 1
+draw.vf.cell2("#J3c3e", "#N2631", i, nr); i <- i + 1
+draw.vf.cell2("#J3c41", "#N4518", i, nr); i <- i + 1
+draw.vf.cell2("#J3c42", "#N1297", i, nr); i <- i + 1
+draw.vf.cell2("#J3c4d", "#N4603", i, nr); i <- i + 1
+draw.vf.cell2("#J3c50", "#N2074", i, nr); i <- i + 1
+draw.vf.cell2("#J3c54", "#N3685", i, nr); i <- i + 1
+draw.vf.cell2("#J3c56", "#N4608", i, nr); i <- i + 1
+draw.vf.cell2("#J3c5c", "#N1377", i, nr); i <- i + 1
+draw.vf.cell2("#J3c61", "#N4809", i, nr); i <- i + 1
+draw.vf.cell2("#J3c63", "#N3926", i, nr); i <- i + 1
+draw.vf.cell2("#J3c67", "#N0285", i, nr); i <- i + 1
+draw.vf.cell2("#J3c68", "#N3699", i, nr); i <- i + 1
+draw.vf.cell2("#J3c6a", "#N1827", i, nr); i <- i + 1
+draw.vf.cell2("#J3c6f", "#N3295", i, nr); i <- i + 1
+draw.vf.cell2("#J3c72", "#N2573", i, nr); i <- i + 1
+draw.vf.cell2("#J3c73", "#N5186", i, nr); i <- i + 1
+draw.vf.cell2("#J3c7e", "#N0622", i, nr); i <- i + 1
+draw.vf.cell2("#J3d29", "#N3273", i, nr); i <- i + 1
+draw.vf.cell2("#J3d2a", "#N3521", i, nr); i <- i + 1
+draw.vf.cell2("#J3d2e", "#N3863", i, nr); i <- i + 1
+draw.vf.cell2("#J3d39", "#N4798", i, nr); i <- i + 1
+draw.vf.cell2("#J3d3d", "#N0768", i, nr); i <- i + 1
+draw.vf.cell2("#J3d3e", "#N1613", i, nr); i <- i + 1
+draw.vf.cell2("#J3d44", "#N3597", i, nr); i <- i + 1
+draw.vf.cell2("#J3d45", "#N0224", i, nr); i <- i + 1
+draw.vf.cell2("#J3d50", "#N0097", i, nr); i <- i + 1
+draw.vf.cell2("#J3d51", "#N1621", i, nr); i <- i + 1
+draw.vf.cell2("#J3d55", "#N2122", i, nr); i <- i + 1
+draw.vf.cell2("#J3d60", "#N0791", i, nr); i <- i + 1
+draw.vf.cell2("#J3d63", "#N3509", i, nr); i <- i + 1
+draw.vf.cell2("#J3d68", "#N1162", i, nr); i <- i + 1
+draw.vf.cell2("#J3d6b", "#N2138", i, nr); i <- i + 1
+draw.vf.cell2("#J3d71", "#N3719", i, nr); i <- i + 1
+draw.vf.cell2("#J3d77", "#N1185", i, nr); i <- i + 1
+draw.vf.cell2("#J3d7c", "#N4993", i, nr); i <- i + 1
+draw.vf.cell2("#J3e26", "#N0321", i, nr); i <- i + 1
+draw.vf.cell2("#J3e2e", "#N1355", i, nr); i <- i + 1
+draw.vf.cell2("#J3e2f", "#N0166", i, nr); i <- i + 1
+draw.vf.cell2("#J3e3d", "#N2137", i, nr); i <- i + 1
+draw.vf.cell2("#J3e3e", "#N2212", i, nr); i <- i + 1
+draw.vf.cell2("#J3e46", "#N2772", i, nr); i <- i + 1
+draw.vf.cell2("#J3e4b", "#N3192", i, nr); i <- i + 1
+draw.vf.cell2("#J3e4e", "#N3280", i, nr); i <- i + 1
+draw.vf.cell2("#J3e57", "#N1638", i, nr); i <- i + 1
+draw.vf.cell2("#J3e5a", "#N4341", i, nr); i <- i + 1
+draw.vf.cell2("#J3e5d", "#N4472", i, nr); i <- i + 1
+draw.vf.cell2("#J3e65", "#N0798", i, nr); i <- i + 1
+draw.vf.cell2("#J3e68", "#N0223", i, nr); i <- i + 1
+draw.vf.cell2("#J3e6c", "#N1113", i, nr); i <- i + 1
+draw.vf.cell2("#J3e6f", "#N1364", i, nr); i <- i + 1
+draw.vf.cell2("#J3e75", "#N2839", i, nr); i <- i + 1
+draw.vf.cell2("#J3e78", "#N4002", i, nr); i <- i + 1
+draw.vf.cell2("#J3f22", "#N2303", i, nr); i <- i + 1
+draw.vf.cell2("#J3f27", "#N3889", i, nr); i <- i + 1
+draw.vf.cell2("#J3f29", "#N5154", i, nr); i <- i + 1
+draw.vf.cell2("#J3f2d", "#N0403", i, nr); i <- i + 1
+
+make.table(nr, nc)
+i <- 0
+draw.title("Kanji (5)", nc)
+draw.vf.cell2("#J3f34", "#N1645", i, nr); i <- i + 1
+draw.vf.cell2("#J3f36", "#N1920", i, nr); i <- i + 1
+draw.vf.cell2("#J3f37", "#N2080", i, nr); i <- i + 1
+draw.vf.cell2("#J3f39", "#N2301", i, nr); i <- i + 1
+draw.vf.cell2("#J3f3f", "#N0783", i, nr); i <- i + 1
+draw.vf.cell2("#J3f43", "#N3837", i, nr); i <- i + 1
+draw.vf.cell2("#J3f48", "#N4601", i, nr); i <- i + 1
+draw.vf.cell2("#J3f49", "#N4646", i, nr); i <- i + 1
+draw.vf.cell2("#J3f4a", "#N4709", i, nr); i <- i + 1
+draw.vf.cell2("#J3f4c", "#N5055", i, nr); i <- i + 1
+draw.vf.cell2("#J3f4d", "#N0339", i, nr); i <- i + 1
+draw.vf.cell2("#J3f5e", "#N1034", i, nr); i <- i + 1
+draw.vf.cell2("#J3f62", "#N0211", i, nr); i <- i + 1
+draw.vf.cell2("#J3f65", "#N2482", i, nr); i <- i + 1
+draw.vf.cell2("#J3f69", "#N3676", i, nr); i <- i + 1
+draw.vf.cell2("#J3f74", "#N2057", i, nr); i <- i + 1
+draw.vf.cell2("#J402d", "#N1666", i, nr); i <- i + 1
+draw.vf.cell2("#J402e", "#N1799", i, nr); i <- i + 1
+draw.vf.cell2("#J4030", "#N2436", i, nr); i <- i + 1
+draw.vf.cell2("#J4031", "#N2121", i, nr); i <- i + 1
+draw.vf.cell2("#J4032", "#N2143", i, nr); i <- i + 1
+draw.vf.cell2("#J4035", "#N0027", i, nr); i <- i + 1
+draw.vf.cell2("#J4038", "#N2991", i, nr); i <- i + 1
+draw.vf.cell2("#J403e", "#N4273", i, nr); i <- i + 1
+draw.vf.cell2("#J4044", "#N5076", i, nr); i <- i + 1
+draw.vf.cell2("#J4045", "#N5077", i, nr); i <- i + 1
+draw.vf.cell2("#J404e", "#N2108", i, nr); i <- i + 1
+draw.vf.cell2("#J404f", "#N2194", i, nr); i <- i + 1
+draw.vf.cell2("#J4050", "#N3176", i, nr); i <- i + 1
+draw.vf.cell2("#J4051", "#N3306", i, nr); i <- i + 1
+draw.vf.cell2("#J4056", "#N4534", i, nr); i <- i + 1
+draw.vf.cell2("#J405a", "#N0667", i, nr); i <- i + 1
+draw.vf.cell2("#J405c", "#N1951", i, nr); i <- i + 1
+draw.vf.cell2("#J405e", "#N1855", i, nr); i <- i + 1
+draw.vf.cell2("#J4063", "#N5044", i, nr); i <- i + 1
+draw.vf.cell2("#J4064", "#N3539", i, nr); i <- i + 1
+draw.vf.cell2("#J4065", "#N3855", i, nr); i <- i + 1
+draw.vf.cell2("#J4068", "#N0571", i, nr); i <- i + 1
+draw.vf.cell2("#J4069", "#N0156", i, nr); i <- i + 1
+draw.vf.cell2("#J406e", "#N1447", i, nr); i <- i + 1
+draw.vf.cell2("#J4070", "#N1823", i, nr); i <- i + 1
+draw.vf.cell2("#J407e", "#N3580", i, nr); i <- i + 1
+draw.vf.cell2("#J4125", "#N3873", i, nr); i <- i + 1
+draw.vf.cell2("#J4130", "#N0595", i, nr); i <- i + 1
+draw.vf.cell2("#J4133", "#N2770", i, nr); i <- i + 1
+draw.vf.cell2("#J4134", "#N0384", i, nr); i <- i + 1
+draw.vf.cell2("#J4147", "#N3511", i, nr); i <- i + 1
+draw.vf.cell2("#J4148", "#N3520", i, nr); i <- i + 1
+draw.vf.cell2("#J4150", "#N0859", i, nr); i <- i + 1
+draw.vf.cell2("#J4158", "#N1402", i, nr); i <- i + 1
+draw.vf.cell2("#J415b", "#N1728", i, nr); i <- i + 1
+draw.vf.cell2("#J4161", "#N2100", i, nr); i <- i + 1
+draw.vf.cell2("#J416a", "#N2241", i, nr); i <- i + 1
+draw.vf.cell2("#J416d", "#N3567", i, nr); i <- i + 1
+draw.vf.cell2("#J4170", "#N3939", i, nr); i <- i + 1
+draw.vf.cell2("#J4175", "#N4234", i, nr); i <- i + 1
+draw.vf.cell2("#J4176", "#N4539", i, nr); i <- i + 1
+draw.vf.cell2("#J417c", "#N0540", i, nr); i <- i + 1
+draw.vf.cell2("#J417d", "#N1137", i, nr); i <- i + 1
+draw.vf.cell2("#J4224", "#N4701", i, nr); i <- i + 1
+draw.vf.cell2("#J4226", "#N0509", i, nr); i <- i + 1
+draw.vf.cell2("#J422b", "#N0196", i, nr); i <- i + 1
+draw.vf.cell2("#J422c", "#N2632", i, nr); i <- i + 1
+draw.vf.cell2("#J422d", "#N4546", i, nr); i <- i + 1
+draw.vf.cell2("#J422e", "#N4700", i, nr); i <- i + 1
+draw.vf.cell2("#J4233", "#N3544", i, nr); i <- i + 1
+draw.vf.cell2("#J4236", "#N0590", i, nr); i <- i + 1
+draw.vf.cell2("#J4238", "#N1267", i, nr); i <- i + 1
+draw.vf.cell2("#J423e", "#N0361", i, nr); i <- i + 1
+draw.vf.cell2("#J423f", "#N1169", i, nr); i <- i + 1
+draw.vf.cell2("#J4240", "#N1172", i, nr); i <- i + 1
+draw.vf.cell2("#J424a", "#N2313", i, nr); i <- i + 1
+draw.vf.cell2("#J424e", "#N0405", i, nr); i <- i + 1
+draw.vf.cell2("#J4250", "#N2067", i, nr); i <- i + 1
+draw.vf.cell2("#J4256", "#N1743", i, nr); i <- i + 1
+draw.vf.cell2("#J4265", "#N0364", i, nr); i <- i + 1
+
+make.table(nr, nc)
+i <- 0
+draw.title("Kanji (6)", nc)
+draw.vf.cell2("#J4267", "#N1171", i, nr); i <- i + 1
+draw.vf.cell2("#J4268", "#N3385", i, nr); i <- i + 1
+draw.vf.cell2("#J426a", "#N2164", i, nr); i <- i + 1
+draw.vf.cell2("#J426c", "#N2655", i, nr); i <- i + 1
+draw.vf.cell2("#J4274", "#N2503", i, nr); i <- i + 1
+draw.vf.cell2("#J4323", "#N4721", i, nr); i <- i + 1
+draw.vf.cell2("#J432b", "#N4458", i, nr); i <- i + 1
+draw.vf.cell2("#J432f", "#N4384", i, nr); i <- i + 1
+draw.vf.cell2("#J4331", "#N0139", i, nr); i <- i + 1
+draw.vf.cell2("#J433a", "#N1418", i, nr); i <- i + 1
+draw.vf.cell2("#J433b", "#N3172", i, nr); i <- i + 1
+draw.vf.cell2("#J4346", "#N1575", i, nr); i <- i + 1
+draw.vf.cell2("#J434b", "#N2996", i, nr); i <- i + 1
+draw.vf.cell2("#J434d", "#N0488", i, nr); i <- i + 1
+draw.vf.cell2("#J434e", "#N3169", i, nr); i <- i + 1
+draw.vf.cell2("#J434f", "#N1056", i, nr); i <- i + 1
+draw.vf.cell2("#J4356", "#N3644", i, nr); i <- i + 1
+draw.vf.cell2("#J4359", "#N4722", i, nr); i <- i + 1
+draw.vf.cell2("#J435d", "#N3366", i, nr); i <- i + 1
+draw.vf.cell2("#J4362", "#N3325", i, nr); i <- i + 1
+draw.vf.cell2("#J4363", "#N3940", i, nr); i <- i + 1
+draw.vf.cell2("#J4365", "#N3665", i, nr); i <- i + 1
+draw.vf.cell2("#J4366", "#N0081", i, nr); i <- i + 1
+draw.vf.cell2("#J4368", "#N1291", i, nr); i <- i + 1
+draw.vf.cell2("#J436b", "#N0053", i, nr); i <- i + 1
+draw.vf.cell2("#J436c", "#N2236", i, nr); i <- i + 1
+draw.vf.cell2("#J436e", "#N4115", i, nr); i <- i + 1
+draw.vf.cell2("#J442b", "#N3788", i, nr); i <- i + 1
+draw.vf.cell2("#J442c", "#N2702", i, nr); i <- i + 1
+draw.vf.cell2("#J4436", "#N4543", i, nr); i <- i + 1
+draw.vf.cell2("#J4439", "#N4938", i, nr); i <- i + 1
+draw.vf.cell2("#J443b", "#N5340", i, nr); i <- i + 1
+draw.vf.cell2("#J443e", "#N0775", i, nr); i <- i + 1
+draw.vf.cell2("#J444c", "#N4703", i, nr); i <- i + 1
+draw.vf.cell2("#J4463", "#N0406", i, nr); i <- i + 1
+draw.vf.cell2("#J446a", "#N1296", i, nr); i <- i + 1
+draw.vf.cell2("#J446c", "#N1508", i, nr); i <- i + 1
+draw.vf.cell2("#J446d", "#N1514", i, nr); i <- i + 1
+draw.vf.cell2("#J4472", "#N1914", i, nr); i <- i + 1
+draw.vf.cell2("#J4478", "#N3285", i, nr); i <- i + 1
+draw.vf.cell2("#J4479", "#N3581", i, nr); i <- i + 1
+draw.vf.cell2("#J4526", "#N1987", i, nr); i <- i + 1
+draw.vf.cell2("#J452a", "#N3097", i, nr); i <- i + 1
+draw.vf.cell2("#J452f", "#N0931", i, nr); i <- i + 1
+draw.vf.cell2("#J4534", "#N4844", i, nr); i <- i + 1
+draw.vf.cell2("#J4535", "#N0588", i, nr); i <- i + 1
+draw.vf.cell2("#J4537", "#N0016", i, nr); i <- i + 1
+draw.vf.cell2("#J453e", "#N4615", i, nr); i <- i + 1
+draw.vf.cell2("#J4540", "#N0804", i, nr); i <- i + 1
+draw.vf.cell2("#J4544", "#N2994", i, nr); i <- i + 1
+draw.vf.cell2("#J4545", "#N5050", i, nr); i <- i + 1
+draw.vf.cell2("#J454c", "#N1614", i, nr); i <- i + 1
+draw.vf.cell2("#J4559", "#N1511", i, nr); i <- i + 1
+draw.vf.cell2("#J455a", "#N1050", i, nr); i <- i + 1
+draw.vf.cell2("#J455f", "#N1161", i, nr); i <- i + 1
+draw.vf.cell2("#J4561", "#N0665", i, nr); i <- i + 1
+draw.vf.cell2("#J4563", "#N1109", i, nr); i <- i + 1
+draw.vf.cell2("#J4567", "#N0230", i, nr); i <- i + 1
+draw.vf.cell2("#J456c", "#N0213", i, nr); i <- i + 1
+draw.vf.cell2("#J4574", "#N2745", i, nr); i <- i + 1
+draw.vf.cell2("#J4576", "#N1359", i, nr); i <- i + 1
+draw.vf.cell2("#J4579", "#N3396", i, nr); i <- i + 1
+draw.vf.cell2("#J4626", "#N4465", i, nr); i <- i + 1
+draw.vf.cell2("#J4630", "#N0730", i, nr); i <- i + 1
+draw.vf.cell2("#J4631", "#N0619", i, nr); i <- i + 1
+draw.vf.cell2("#J4633", "#N1354", i, nr); i <- i + 1
+draw.vf.cell2("#J463b", "#N4724", i, nr); i <- i + 1
+draw.vf.cell2("#J463c", "#N4853", i, nr); i <- i + 1
+draw.vf.cell2("#J4643", "#N2860", i, nr); i <- i + 1
+draw.vf.cell2("#J4649", "#N4375", i, nr); i <- i + 1
+draw.vf.cell2("#J465e", "#N2160", i, nr); i <- i + 1
+draw.vf.cell2("#J4662", "#N0082", i, nr); i <- i + 1
+draw.vf.cell2("#J466e", "#N0778", i, nr); i <- i + 1
+draw.vf.cell2("#J4671", "#N5038", i, nr); i <- i + 1
+draw.vf.cell2("#J4673", "#N0273", i, nr); i <- i + 1
+draw.vf.cell2("#J4679", "#N3724", i, nr); i <- i + 1
+
+make.table(nr, nc)
+i <- 0
+draw.title("Kanji (7)", nc)
+draw.vf.cell2("#J467c", "#N2097", i, nr); i <- i + 1
+draw.vf.cell2("#J467e", "#N0574", i, nr); i <- i + 1
+draw.vf.cell2("#J4721", "#N1189", i, nr); i <- i + 1
+draw.vf.cell2("#J472e", "#N2797", i, nr); i <- i + 1
+draw.vf.cell2("#J472f", "#N0188", i, nr); i <- i + 1
+draw.vf.cell2("#J4733", "#N2808", i, nr); i <- i + 1
+draw.vf.cell2("#J4734", "#N3472", i, nr); i <- i + 1
+draw.vf.cell2("#J4748", "#N2529", i, nr); i <- i + 1
+draw.vf.cell2("#J474f", "#N5191", i, nr); i <- i + 1
+draw.vf.cell2("#J4769", "#N3275", i, nr); i <- i + 1
+draw.vf.cell2("#J4772", "#N3095", i, nr); i <- i + 1
+draw.vf.cell2("#J477e", "#N5385", i, nr); i <- i + 1
+draw.vf.cell2("#J4821", "#N0049", i, nr); i <- i + 1
+draw.vf.cell2("#J482c", "#N0577", i, nr); i <- i + 1
+draw.vf.cell2("#J482f", "#N3092", i, nr); i <- i + 1
+draw.vf.cell2("#J483e", "#N0132", i, nr); i <- i + 1
+draw.vf.cell2("#J483f", "#N0817", i, nr); i <- i + 1
+draw.vf.cell2("#J4841", "#N1469", i, nr); i <- i + 1
+draw.vf.cell2("#J484c", "#N3865", i, nr); i <- i + 1
+draw.vf.cell2("#J4856", "#N4811", i, nr); i <- i + 1
+draw.vf.cell2("#J4860", "#N1604", i, nr); i <- i + 1
+draw.vf.cell2("#J4866", "#N2470", i, nr); i <- i + 1
+draw.vf.cell2("#J4869", "#N3109", i, nr); i <- i + 1
+draw.vf.cell2("#J4873", "#N5080", i, nr); i <- i + 1
+draw.vf.cell2("#J4874", "#N5152", i, nr); i <- i + 1
+draw.vf.cell2("#J4878", "#N1383", i, nr); i <- i + 1
+draw.vf.cell2("#J4879", "#N1631", i, nr); i <- i + 1
+draw.vf.cell2("#J487e", "#N3658", i, nr); i <- i + 1
+draw.vf.cell2("#J4921", "#N5421", i, nr); i <- i + 1
+draw.vf.cell2("#J492e", "#N3397", i, nr); i <- i + 1
+draw.vf.cell2("#J4934", "#N0033", i, nr); i <- i + 1
+draw.vf.cell2("#J4938", "#N2359", i, nr); i <- i + 1
+draw.vf.cell2("#J4939", "#N0131", i, nr); i <- i + 1
+draw.vf.cell2("#J493d", "#N0108", i, nr); i <- i + 1
+draw.vf.cell2("#J4942", "#N3042", i, nr); i <- i + 1
+draw.vf.cell2("#J4943", "#N3271", i, nr); i <- i + 1
+draw.vf.cell2("#J494a", "#N0923", i, nr); i <- i + 1
+draw.vf.cell2("#J4954", "#N0017", i, nr); i <- i + 1
+draw.vf.cell2("#J495b", "#N1468", i, nr); i <- i + 1
+draw.vf.cell2("#J4963", "#N2832", i, nr); i <- i + 1
+draw.vf.cell2("#J4969", "#N4488", i, nr); i <- i + 1
+draw.vf.cell2("#J4977", "#N5148", i, nr); i <- i + 1
+draw.vf.cell2("#J497d", "#N1484", i, nr); i <- i + 1
+draw.vf.cell2("#J4a23", "#N4255", i, nr); i <- i + 1
+draw.vf.cell2("#J4a26", "#N0173", i, nr); i <- i + 1
+draw.vf.cell2("#J4a2a", "#N2857", i, nr); i <- i + 1
+draw.vf.cell2("#J4a2c", "#N0578", i, nr); i <- i + 1
+draw.vf.cell2("#J4a38", "#N2064", i, nr); i <- i + 1
+draw.vf.cell2("#J4a39", "#N4959", i, nr); i <- i + 1
+draw.vf.cell2("#J4a3f", "#N0026", i, nr); i <- i + 1
+draw.vf.cell2("#J4a42", "#N0589", i, nr); i <- i + 1
+draw.vf.cell2("#J4a44", "#N4945", i, nr); i <- i + 1
+draw.vf.cell2("#J4a46", "#N3461", i, nr); i <- i + 1
+draw.vf.cell2("#J4a50", "#N0511", i, nr); i <- i + 1
+draw.vf.cell2("#J4a51", "#N0306", i, nr); i <- i + 1
+draw.vf.cell2("#J4a52", "#N2842", i, nr); i <- i + 1
+draw.vf.cell2("#J4a55", "#N4661", i, nr); i <- i + 1
+draw.vf.cell2("#J4a6c", "#N2466", i, nr); i <- i + 1
+draw.vf.cell2("#J4a7c", "#N2084", i, nr); i <- i + 1
+draw.vf.cell2("#J4a7d", "#N2082", i, nr); i <- i + 1
+draw.vf.cell2("#J4b21", "#N2535", i, nr); i <- i + 1
+draw.vf.cell2("#J4b26", "#N3749", i, nr); i <- i + 1
+draw.vf.cell2("#J4b4c", "#N0751", i, nr); i <- i + 1
+draw.vf.cell2("#J4b4f", "#N5404", i, nr); i <- i + 1
+draw.vf.cell2("#J4b5c", "#N0096", i, nr); i <- i + 1
+draw.vf.cell2("#J4b63", "#N5390", i, nr); i <- i + 1
+draw.vf.cell2("#J4b68", "#N2467", i, nr); i <- i + 1
+draw.vf.cell2("#J4b74", "#N0855", i, nr); i <- i + 1
+draw.vf.cell2("#J4b7c", "#N0007", i, nr); i <- i + 1
+draw.vf.cell2("#J4c23", "#N0913", i, nr); i <- i + 1
+draw.vf.cell2("#J4c24", "#N0179", i, nr); i <- i + 1
+draw.vf.cell2("#J4c29", "#N1316", i, nr); i <- i + 1
+draw.vf.cell2("#J4c35", "#N2773", i, nr); i <- i + 1
+draw.vf.cell2("#J4c37", "#N3164", i, nr); i <- i + 1
+draw.vf.cell2("#J4c3e", "#N1170", i, nr); i <- i + 1
+draw.vf.cell2("#J4c40", "#N2110", i, nr); i <- i + 1
+
+make.table(nr, nc)
+i <- 0
+draw.title("Kanji (8)", nc)
+draw.vf.cell2("#J4c4c", "#N5087", i, nr); i <- i + 1
+draw.vf.cell2("#J4c53", "#N2473", i, nr); i <- i + 1
+draw.vf.cell2("#J4c5a", "#N2170", i, nr); i <- i + 1
+draw.vf.cell2("#J4c5c", "#N3127", i, nr); i <- i + 1
+draw.vf.cell2("#J4c64", "#N4944", i, nr); i <- i + 1
+draw.vf.cell2("#J4c67", "#N4940", i, nr); i <- i + 1
+draw.vf.cell2("#J4c6b", "#N0298", i, nr); i <- i + 1
+draw.vf.cell2("#J4c70", "#N3168", i, nr); i <- i + 1
+draw.vf.cell2("#J4c72", "#N1598", i, nr); i <- i + 1
+draw.vf.cell2("#J4c74", "#N4074", i, nr); i <- i + 1
+draw.vf.cell2("#J4c78", "#N2233", i, nr); i <- i + 1
+draw.vf.cell2("#J4c7d", "#N2534", i, nr); i <- i + 1
+draw.vf.cell2("#J4d2d", "#N3727", i, nr); i <- i + 1
+draw.vf.cell2("#J4d30", "#N2565", i, nr); i <- i + 1
+draw.vf.cell2("#J4d3a", "#N5030", i, nr); i <- i + 1
+draw.vf.cell2("#J4d3c", "#N1167", i, nr); i <- i + 1
+draw.vf.cell2("#J4d3e", "#N0408", i, nr); i <- i + 1
+draw.vf.cell2("#J4d4f", "#N2659", i, nr); i <- i + 1
+draw.vf.cell2("#J4d51", "#N2993", i, nr); i <- i + 1
+draw.vf.cell2("#J4d53", "#N3656", i, nr); i <- i + 1
+draw.vf.cell2("#J4d55", "#N4001", i, nr); i <- i + 1
+draw.vf.cell2("#J4d57", "#N4274", i, nr); i <- i + 1
+draw.vf.cell2("#J4d5b", "#N5012", i, nr); i <- i + 1
+draw.vf.cell2("#J4d63", "#N3680", i, nr); i <- i + 1
+draw.vf.cell2("#J4d68", "#N0202", i, nr); i <- i + 1
+draw.vf.cell2("#J4d6b", "#N5049", i, nr); i <- i + 1
+draw.vf.cell2("#J4d70", "#N3856", i, nr); i <- i + 1
+draw.vf.cell2("#J4d71", "#N0199", i, nr); i <- i + 1
+draw.vf.cell2("#J4d72", "#N1431", i, nr); i <- i + 1
+draw.vf.cell2("#J4d78", "#N3264", i, nr); i <- i + 1
+draw.vf.cell2("#J4d7d", "#N2942", i, nr); i <- i + 1
+draw.vf.cell2("#J4e24", "#N4813", i, nr); i <- i + 1
+draw.vf.cell2("#J4e25", "#N5040", i, nr); i <- i + 1
+draw.vf.cell2("#J4e26", "#N5005", i, nr); i <- i + 1
+draw.vf.cell2("#J4e28", "#N0319", i, nr); i <- i + 1
+draw.vf.cell2("#J4e29", "#N3343", i, nr); i <- i + 1
+draw.vf.cell2("#J4e2e", "#N2576", i, nr); i <- i + 1
+draw.vf.cell2("#J4e32", "#N3191", i, nr); i <- i + 1
+draw.vf.cell2("#J4e33", "#N3471", i, nr); i <- i + 1
+draw.vf.cell2("#J4e35", "#N5440", i, nr); i <- i + 1
+draw.vf.cell2("#J4e3e", "#N0034", i, nr); i <- i + 1
+draw.vf.cell2("#J4e41", "#N3468", i, nr); i <- i + 1
+draw.vf.cell2("#J4e49", "#N3885", i, nr); i <- i + 1
+draw.vf.cell2("#J4e4c", "#N2141", i, nr); i <- i + 1
+draw.vf.cell2("#J4e4f", "#N0715", i, nr); i <- i + 1
+draw.vf.cell2("#J4e53", "#N2210", i, nr); i <- i + 1
+draw.vf.cell2("#J4e55", "#N2807", i, nr); i <- i + 1
+draw.vf.cell2("#J4e58", "#N4630", i, nr); i <- i + 1
+draw.vf.cell2("#J4e60", "#N5138", i, nr); i <- i + 1
+draw.vf.cell2("#J4e63", "#N0428", i, nr); i <- i + 1
+draw.vf.cell2("#J4e64", "#N0642", i, nr); i <- i + 1
+draw.vf.cell2("#J4e6d", "#N5048", i, nr); i <- i + 1
+draw.vf.cell2("#J4e6e", "#N5056", i, nr); i <- i + 1
+draw.vf.cell2("#J4e73", "#N2438", i, nr); i <- i + 1
+draw.vf.cell2("#J4f22", "#N4702", i, nr); i <- i + 1
+draw.vf.cell2("#J4f27", "#N2750", i, nr); i <- i + 1
+draw.vf.cell2("#J4f29", "#N4561", i, nr); i <- i + 1
+draw.vf.cell2("#J4f37", "#N3683", i, nr); i <- i + 1
+draw.vf.cell2("#J4f3b", "#N0283", i, nr); i <- i + 1
+draw.vf.cell2("#J4f40", "#N4391", i, nr); i <- i + 1
+draw.vf.cell2("#J4f42", "#N3268", i, nr); i <- i + 1
+draw.vf.cell2("#J4f43", "#N4358", i, nr); i <- i + 1
+draw.vf.cell2("#J4f44", "#N0054", i, nr); i <- i + 1
+draw.vf.cell2("#J4f47", "#N1710", i, nr); i <- i + 1
+
+draw.vf.cell2("#J534c", "#N0973", i, nr); i <- i + 1
+draw.vf.cell2("#J5879", "#N1794", i, nr); i <- i + 1
+draw.vf.cell2("#J5960", "#N1942", i, nr); i <- i + 1
+draw.vf.cell2("#J626f", "#N3200", i, nr); i <- i + 1
+draw.vf.cell2("#J6446", "#N3458", i, nr); i <- i + 1
+draw.vf.cell2("#J6647", "#N5083", i, nr); i <- i + 1
+draw.vf.cell2("#J6d55", "#N4633", i, nr); i <- i + 1
+
+par(oldpar)
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/graphics/demo/Hershey.R
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/graphics/demo/Hershey.R	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/graphics/demo/Hershey.R	(revision 3761)
@@ -0,0 +1,394 @@
+#  Copyright (C) 2003-2009 The R Core Team
+
+#### --- Hershey Vector Fonts ---
+
+require(grDevices); require(graphics)
+
+######
+# create tables of vector font functionality
+######
+make.table <- function(nr, nc) {
+    savepar <- par(mar=rep(0, 4), pty="s")
+    plot(c(0, nc*2 + 1), c(0, -(nr + 1)),
+         type="n", xlab="", ylab="", axes=FALSE)
+    invisible(savepar)
+}
+
+get.r <- function(i, nr)     i %% nr + 1
+get.c <- function(i, nr)     i %/% nr + 1
+
+draw.title <- function(title, i = 0, nr, nc) {
+    r <- get.r(i, nr)
+    c <- get.c(i, nr)
+    text((nc*2 + 1)/2, 0, title, font=2)
+}
+
+draw.sample.cell <- function(typeface, fontindex, string, i, nr) {
+    r <- get.r(i, nr)
+    c <- get.c(i, nr)
+    text(2*(c - 1) + 1, -r, paste(typeface, fontindex))
+    text(2*c, -r, string, vfont=c(typeface, fontindex), cex=1.5)
+    rect(2*(c - 1) + .5, -(r - .5), 2*c + .5, -(r + .5), border="grey")
+}
+
+draw.vf.cell <- function(typeface, fontindex, string, i, nr, raw.string=NULL) {
+    r <- get.r(i, nr)
+    c <- get.c(i, nr)
+    if (is.null(raw.string))
+        raw.string <- paste("\\", string, sep="")
+    text(2*(c - 1) + 1, -r, raw.string, col="grey")
+    text(2*c, -r, string, vfont=c(typeface, fontindex))
+    rect(2*(c - 1) + .5, -(r - .5), (2*c + .5), -(r + .5), border="grey")
+}
+
+nr <- 23
+nc <- 1
+oldpar <- make.table(nr, nc)
+i <- 0
+draw.title("Sample 'a' for each available font", i, nr, nc)
+draw.sample.cell("serif", "plain", "a", i, nr); i <- i + 1
+draw.sample.cell("serif", "italic", "a", i, nr); i <- i + 1
+draw.sample.cell("serif", "bold", "a", i, nr); i <- i + 1
+draw.sample.cell("serif", "bold italic", "a", i, nr); i <- i + 1
+draw.sample.cell("serif", "cyrillic", "\301", i, nr); i <- i + 1
+draw.sample.cell("serif", "oblique cyrillic", "\301", i, nr); i <- i + 1
+draw.sample.cell("serif", "EUC", "a", i, nr); i <- i + 1
+draw.sample.cell("sans serif", "plain", "a", i, nr); i <- i + 1
+draw.sample.cell("sans serif", "italic", "a", i, nr); i <- i + 1
+draw.sample.cell("sans serif", "bold", "a", i, nr); i <- i + 1
+draw.sample.cell("sans serif", "bold italic", "a", i, nr); i <- i + 1
+draw.sample.cell("script", "plain", "a", i, nr); i <- i + 1
+draw.sample.cell("script", "italic", "a", i, nr); i <- i + 1
+draw.sample.cell("script", "bold", "a", i, nr); i <- i + 1
+draw.sample.cell("gothic english", "plain", "a", i, nr); i <- i + 1
+draw.sample.cell("gothic german", "plain", "a", i, nr); i <- i + 1
+draw.sample.cell("gothic italian", "plain", "a", i, nr); i <- i + 1
+draw.sample.cell("serif symbol", "plain", "a", i, nr); i <- i + 1
+draw.sample.cell("serif symbol", "italic", "a", i, nr); i <- i + 1
+draw.sample.cell("serif symbol", "bold", "a", i, nr); i <- i + 1
+draw.sample.cell("serif symbol", "bold italic", "a", i, nr); i <- i + 1
+draw.sample.cell("sans serif symbol", "plain", "a", i, nr); i <- i + 1
+draw.sample.cell("sans serif symbol", "italic", "a", i, nr); i <- i + 1
+
+nr <- 25
+nc <- 6
+tf <- "serif"
+fi <- "plain"
+make.table(nr, nc)
+i <- 0
+draw.title("Symbol (incl. Greek) Escape Sequences", i, nr, nc)
+## Greek alphabet in order
+draw.vf.cell(tf, fi, "\\*A", i, nr); i<-i+1; { "Alpha"}
+draw.vf.cell(tf, fi, "\\*B", i, nr); i<-i+1; { "Beta"}
+draw.vf.cell(tf, fi, "\\*G", i, nr); i<-i+1; { "Gamma"}
+draw.vf.cell(tf, fi, "\\*D", i, nr); i<-i+1; { "Delta"}
+draw.vf.cell(tf, fi, "\\*E", i, nr); i<-i+1; { "Epsilon"}
+draw.vf.cell(tf, fi, "\\*Z", i, nr); i<-i+1; { "Zeta"}
+draw.vf.cell(tf, fi, "\\*Y", i, nr); i<-i+1; { "Eta"}
+draw.vf.cell(tf, fi, "\\*H", i, nr); i<-i+1; { "Theta"}
+draw.vf.cell(tf, fi, "\\*I", i, nr); i<-i+1; { "Iota"}
+draw.vf.cell(tf, fi, "\\*K", i, nr); i<-i+1; { "Kappa"}
+draw.vf.cell(tf, fi, "\\*L", i, nr); i<-i+1; { "Lambda"}
+draw.vf.cell(tf, fi, "\\*M", i, nr); i<-i+1; { "Mu"}
+draw.vf.cell(tf, fi, "\\*N", i, nr); i<-i+1; { "Nu"}
+draw.vf.cell(tf, fi, "\\*C", i, nr); i<-i+1; { "Xi"}
+draw.vf.cell(tf, fi, "\\*O", i, nr); i<-i+1; { "Omicron"}
+draw.vf.cell(tf, fi, "\\*P", i, nr); i<-i+1; { "Pi"}
+draw.vf.cell(tf, fi, "\\*R", i, nr); i<-i+1; { "Rho"}
+draw.vf.cell(tf, fi, "\\*S", i, nr); i<-i+1; { "Sigma"}
+draw.vf.cell(tf, fi, "\\*T", i, nr); i<-i+1; { "Tau"}
+draw.vf.cell(tf, fi, "\\*U", i, nr); i<-i+1; { "Upsilon"}
+draw.vf.cell(tf, fi, "\\+U", i, nr); i<-i+1; { "Upsilon1"}
+draw.vf.cell(tf, fi, "\\*F", i, nr); i<-i+1; { "Phi"}
+draw.vf.cell(tf, fi, "\\*X", i, nr); i<-i+1; { "Chi"}
+draw.vf.cell(tf, fi, "\\*Q", i, nr); i<-i+1; { "Psi"}
+draw.vf.cell(tf, fi, "\\*W", i, nr); i<-i+1; { "Omega"}
+#
+draw.vf.cell(tf, fi, "\\*a", i, nr); i<-i+1; { "alpha"}
+draw.vf.cell(tf, fi, "\\*b", i, nr); i<-i+1; { "beta"}
+draw.vf.cell(tf, fi, "\\*g", i, nr); i<-i+1; { "gamma"}
+draw.vf.cell(tf, fi, "\\*d", i, nr); i<-i+1; { "delta"}
+draw.vf.cell(tf, fi, "\\*e", i, nr); i<-i+1; { "epsilon"}
+draw.vf.cell(tf, fi, "\\*z", i, nr); i<-i+1; { "zeta"}
+draw.vf.cell(tf, fi, "\\*y", i, nr); i<-i+1; { "eta"}
+draw.vf.cell(tf, fi, "\\*h", i, nr); i<-i+1; { "theta"}
+draw.vf.cell(tf, fi, "\\+h", i, nr); i<-i+1; { "theta1"}
+draw.vf.cell(tf, fi, "\\*i", i, nr); i<-i+1; { "iota"}
+draw.vf.cell(tf, fi, "\\*k", i, nr); i<-i+1; { "kappa"}
+draw.vf.cell(tf, fi, "\\*l", i, nr); i<-i+1; { "lambda"}
+draw.vf.cell(tf, fi, "\\*m", i, nr); i<-i+1; { "mu"}
+draw.vf.cell(tf, fi, "\\*n", i, nr); i<-i+1; { "nu"}
+draw.vf.cell(tf, fi, "\\*c", i, nr); i<-i+1; { "xi"}
+draw.vf.cell(tf, fi, "\\*o", i, nr); i<-i+1; { "omicron"}
+draw.vf.cell(tf, fi, "\\*p", i, nr); i<-i+1; { "pi"}
+draw.vf.cell(tf, fi, "\\*r", i, nr); i<-i+1; { "rho"}
+draw.vf.cell(tf, fi, "\\*s", i, nr); i<-i+1; { "sigma"}
+draw.vf.cell(tf, fi, "\\ts", i, nr); i<-i+1; { "sigma1"}
+draw.vf.cell(tf, fi, "\\*t", i, nr); i<-i+1; { "tau"}
+draw.vf.cell(tf, fi, "\\*u", i, nr); i<-i+1; { "upsilon"}
+draw.vf.cell(tf, fi, "\\*f", i, nr); i<-i+1; { "phi"}
+draw.vf.cell(tf, fi, "\\+f", i, nr); i<-i+1; { "phi1"}
+draw.vf.cell(tf, fi, "\\*x", i, nr); i<-i+1; { "chi"}
+draw.vf.cell(tf, fi, "\\*q", i, nr); i<-i+1; { "psi"}
+draw.vf.cell(tf, fi, "\\*w", i, nr); i<-i+1; { "omega"}
+draw.vf.cell(tf, fi, "\\+p", i, nr); i<-i+1; { "omega1"}
+#
+draw.vf.cell(tf, fi, "\\fa", i, nr); i<-i+1; { "universal"}
+draw.vf.cell(tf, fi, "\\te", i, nr); i<-i+1; { "existential"}
+draw.vf.cell(tf, fi, "\\st", i, nr); i<-i+1; { "suchthat"}
+draw.vf.cell(tf, fi, "\\**", i, nr); i<-i+1; { "asteriskmath"}
+draw.vf.cell(tf, fi, "\\=~", i, nr); i<-i+1; { "congruent"}
+draw.vf.cell(tf, fi, "\\tf", i, nr); i<-i+1; { "therefore"}
+draw.vf.cell(tf, fi, "\\pp", i, nr); i<-i+1; { "perpendicular"}
+draw.vf.cell(tf, fi, "\\ul", i, nr); i<-i+1; { "underline"}
+draw.vf.cell(tf, fi, "\\rx", i, nr); i<-i+1; { "radicalex"}
+
+draw.vf.cell(tf, fi, "\\ap", i, nr); i<-i+1; { "similar"}
+draw.vf.cell(tf, fi, "\\fm", i, nr); i<-i+1; { "minute"}
+draw.vf.cell(tf, fi, "\\<=", i, nr); i<-i+1; { "lessequal"}
+draw.vf.cell(tf, fi, "\\f/", i, nr); i<-i+1; { "fraction"}
+draw.vf.cell(tf, fi, "\\if", i, nr); i<-i+1; { "infinity"}
+draw.vf.cell(tf, fi, "\\Fn", i, nr); i<-i+1; { "florin"}
+draw.vf.cell(tf, fi, "\\CL", i, nr); i<-i+1; { "club"}
+draw.vf.cell(tf, fi, "\\DI", i, nr); i<-i+1; { "diamond"}
+draw.vf.cell(tf, fi, "\\HE", i, nr); i<-i+1; { "heart"}
+draw.vf.cell(tf, fi, "\\SP", i, nr); i<-i+1; { "spade"}
+draw.vf.cell(tf, fi, "\\<>", i, nr); i<-i+1; { "arrowboth"}
+draw.vf.cell(tf, fi, "\\<-", i, nr); i<-i+1; { "arrowleft"}
+draw.vf.cell(tf, fi, "\\ua", i, nr); i<-i+1; { "arrowup"}
+draw.vf.cell(tf, fi, "\\->", i, nr); i<-i+1; { "arrowright"}
+draw.vf.cell(tf, fi, "\\da", i, nr); i<-i+1; { "arrowdown"}
+draw.vf.cell(tf, fi, "\\de", i, nr); i<-i+1; { "degree"}
+draw.vf.cell(tf, fi, "\\+-", i, nr); i<-i+1; { "plusminus"}
+draw.vf.cell(tf, fi, "\\sd", i, nr); i<-i+1; { "second"}
+draw.vf.cell(tf, fi, "\\>=", i, nr); i<-i+1; { "greaterequal"}
+draw.vf.cell(tf, fi, "\\mu", i, nr); i<-i+1; { "multiply"}
+draw.vf.cell(tf, fi, "\\pt", i, nr); i<-i+1; { "proportional"}
+draw.vf.cell(tf, fi, "\\pd", i, nr); i<-i+1; { "partialdiff"}
+draw.vf.cell(tf, fi, "\\bu", i, nr); i<-i+1; { "bullet"}
+draw.vf.cell(tf, fi, "\\di", i, nr); i<-i+1; { "divide"}
+draw.vf.cell(tf, fi, "\\!=", i, nr); i<-i+1; { "notequal"}
+draw.vf.cell(tf, fi, "\\==", i, nr); i<-i+1; { "equivalence"}
+draw.vf.cell(tf, fi, "\\~~", i, nr); i<-i+1; { "approxequal"}
+draw.vf.cell(tf, fi, "\\..", i, nr); i<-i+1; { "ellipsis"}
+draw.vf.cell(tf, fi, "\\an", i, nr); i<-i+1; { "arrowhorizex"}
+draw.vf.cell(tf, fi, "\\CR", i, nr); i<-i+1; { "carriagereturn"}
+draw.vf.cell(tf, fi, "\\Ah", i, nr); i<-i+1; { "aleph"}
+draw.vf.cell(tf, fi, "\\Im", i, nr); i<-i+1; { "Ifraktur"}
+draw.vf.cell(tf, fi, "\\Re", i, nr); i<-i+1; { "Rfraktur"}
+draw.vf.cell(tf, fi, "\\wp", i, nr); i<-i+1; { "weierstrass"}
+draw.vf.cell(tf, fi, "\\c*", i, nr); i<-i+1; { "circlemultiply"}
+draw.vf.cell(tf, fi, "\\c+", i, nr); i<-i+1; { "circleplus"}
+draw.vf.cell(tf, fi, "\\es", i, nr); i<-i+1; { "emptyset"}
+draw.vf.cell(tf, fi, "\\ca", i, nr); i<-i+1; { "cap"}
+draw.vf.cell(tf, fi, "\\cu", i, nr); i<-i+1; { "cup"}
+draw.vf.cell(tf, fi, "\\SS", i, nr); i<-i+1; { "superset"}
+draw.vf.cell(tf, fi, "\\ip", i, nr); i<-i+1; { "reflexsuperset"}
+draw.vf.cell(tf, fi, "\\n<", i, nr); i<-i+1; { "notsubset"}
+draw.vf.cell(tf, fi, "\\SB", i, nr); i<-i+1; { "subset"}
+draw.vf.cell(tf, fi, "\\ib", i, nr); i<-i+1; { "reflexsubset"}
+draw.vf.cell(tf, fi, "\\mo", i, nr); i<-i+1; { "element"}
+draw.vf.cell(tf, fi, "\\nm", i, nr); i<-i+1; { "notelement"}
+draw.vf.cell(tf, fi, "\\/_", i, nr); i<-i+1; { "angle"}
+draw.vf.cell(tf, fi, "\\gr", i, nr); i<-i+1; { "nabla"}
+draw.vf.cell(tf, fi, "\\rg", i, nr); i<-i+1; { "registerserif"}
+draw.vf.cell(tf, fi, "\\co", i, nr); i<-i+1; { "copyrightserif"}
+draw.vf.cell(tf, fi, "\\tm", i, nr); i<-i+1; { "trademarkserif"}
+draw.vf.cell(tf, fi, "\\PR", i, nr); i<-i+1; { "product"}
+draw.vf.cell(tf, fi, "\\sr", i, nr); i<-i+1; { "radical"}
+draw.vf.cell(tf, fi, "\\md", i, nr); i<-i+1; { "dotmath"}
+draw.vf.cell(tf, fi, "\\no", i, nr); i<-i+1; { "logicalnot"}
+draw.vf.cell(tf, fi, "\\AN", i, nr); i<-i+1; { "logicaland"}
+draw.vf.cell(tf, fi, "\\OR", i, nr); i<-i+1; { "logicalor"}
+draw.vf.cell(tf, fi, "\\hA", i, nr); i<-i+1; { "arrowdblboth"}
+draw.vf.cell(tf, fi, "\\lA", i, nr); i<-i+1; { "arrowdblleft"}
+draw.vf.cell(tf, fi, "\\uA", i, nr); i<-i+1; { "arrowdblup"}
+draw.vf.cell(tf, fi, "\\rA", i, nr); i<-i+1; { "arrowdblright"}
+draw.vf.cell(tf, fi, "\\dA", i, nr); i<-i+1; { "arrowdbldown"}
+draw.vf.cell(tf, fi, "\\lz", i, nr); i<-i+1; { "lozenge"}
+draw.vf.cell(tf, fi, "\\la", i, nr); i<-i+1; { "angleleft"}
+draw.vf.cell(tf, fi, "\\RG", i, nr); i<-i+1; { "registersans"}
+draw.vf.cell(tf, fi, "\\CO", i, nr); i<-i+1; { "copyrightsans"}
+draw.vf.cell(tf, fi, "\\TM", i, nr); i<-i+1; { "trademarksans"}
+draw.vf.cell(tf, fi, "\\SU", i, nr); i<-i+1; { "summation"}
+draw.vf.cell(tf, fi, "\\lc", i, nr); i<-i+1; { "bracketlefttp"}
+draw.vf.cell(tf, fi, "\\lf", i, nr); i<-i+1; { "bracketleftbt"}
+draw.vf.cell(tf, fi, "\\ra", i, nr); i<-i+1; { "angleright"}
+draw.vf.cell(tf, fi, "\\is", i, nr); i<-i+1; { "integral"}
+draw.vf.cell(tf, fi, "\\rc", i, nr); i<-i+1; { "bracketrighttp"}
+draw.vf.cell(tf, fi, "\\rf", i, nr); i<-i+1; { "bracketrightbt"}
+draw.vf.cell(tf, fi, "\\~=", i, nr); i<-i+1; { "congruent"}
+draw.vf.cell(tf, fi, "\\pr", i, nr); i<-i+1; { "minute"}
+draw.vf.cell(tf, fi, "\\in", i, nr); i<-i+1; { "infinity"}
+draw.vf.cell(tf, fi, "\\n=", i, nr); i<-i+1; { "notequal"}
+draw.vf.cell(tf, fi, "\\dl", i, nr); i<-i+1; { "nabla"}
+
+nr <- 25
+nc <- 4
+make.table(nr, nc)
+i <- 0
+draw.title("ISO Latin-1 Escape Sequences", i, nr, nc)
+draw.vf.cell(tf, fi, "\\r!", i, nr); i<-i+1; { "exclamdown"}
+draw.vf.cell(tf, fi, "\\ct", i, nr); i<-i+1; { "cent"}
+draw.vf.cell(tf, fi, "\\Po", i, nr); i<-i+1; { "sterling"}
+draw.vf.cell(tf, fi, "\\Ye", i, nr); i<-i+1; { "yen"}
+draw.vf.cell(tf, fi, "\\bb", i, nr); i<-i+1; { "brokenbar"}
+draw.vf.cell(tf, fi, "\\sc", i, nr); i<-i+1; { "section"}
+draw.vf.cell(tf, fi, "\\ad", i, nr); i<-i+1; { "dieresis"}
+draw.vf.cell(tf, fi, "\\co", i, nr); i<-i+1; { "copyright"}
+draw.vf.cell(tf, fi, "\\Of", i, nr); i<-i+1; { "ordfeminine"}
+draw.vf.cell(tf, fi, "\\no", i, nr); i<-i+1; { "logicalnot"}
+draw.vf.cell(tf, fi, "\\hy", i, nr); i<-i+1; { "hyphen"}
+draw.vf.cell(tf, fi, "\\rg", i, nr); i<-i+1; { "registered"}
+draw.vf.cell(tf, fi, "\\a-", i, nr); i<-i+1; { "macron"}
+draw.vf.cell(tf, fi, "\\de", i, nr); i<-i+1; { "degree"}
+draw.vf.cell(tf, fi, "\\+-", i, nr); i<-i+1; { "plusminus"}
+draw.vf.cell(tf, fi, "\\S2", i, nr); i<-i+1; { "twosuperior"}
+draw.vf.cell(tf, fi, "\\S3", i, nr); i<-i+1; { "threesuperior"}
+draw.vf.cell(tf, fi, "\\aa", i, nr); i<-i+1; { "acute"}
+draw.vf.cell(tf, fi, "\\*m", i, nr); i<-i+1; { "mu"}
+draw.vf.cell(tf, fi, "\\md", i, nr); i<-i+1; { "periodcentered"}
+draw.vf.cell(tf, fi, "\\S1", i, nr); i<-i+1; { "onesuperior"}
+draw.vf.cell(tf, fi, "\\Om", i, nr); i<-i+1; { "ordmasculine"}
+draw.vf.cell(tf, fi, "\\14", i, nr); i<-i+1; { "onequarter"}
+draw.vf.cell(tf, fi, "\\12", i, nr); i<-i+1; { "onehalf"}
+draw.vf.cell(tf, fi, "\\34", i, nr); i<-i+1; { "threequarters"}
+draw.vf.cell(tf, fi, "\\r?", i, nr); i<-i+1; { "questiondown"}
+draw.vf.cell(tf, fi, "\\`A", i, nr); i<-i+1; { "Agrave"}
+draw.vf.cell(tf, fi, "\\'A", i, nr); i<-i+1; { "Aacute"}
+draw.vf.cell(tf, fi, "\\^A", i, nr); i<-i+1; { "Acircumflex"}
+draw.vf.cell(tf, fi, "\\~A", i, nr); i<-i+1; { "Atilde"}
+draw.vf.cell(tf, fi, "\\:A", i, nr); i<-i+1; { "Adieresis"}
+draw.vf.cell(tf, fi, "\\oA", i, nr); i<-i+1; { "Aring"}
+draw.vf.cell(tf, fi, "\\AE", i, nr); i<-i+1; { "AE"}
+draw.vf.cell(tf, fi, "\\,C", i, nr); i<-i+1; { "Ccedilla"}
+draw.vf.cell(tf, fi, "\\`E", i, nr); i<-i+1; { "Egrave"}
+draw.vf.cell(tf, fi, "\\'E", i, nr); i<-i+1; { "Eacute"}
+draw.vf.cell(tf, fi, "\\^E", i, nr); i<-i+1; { "Ecircumflex"}
+draw.vf.cell(tf, fi, "\\:E", i, nr); i<-i+1; { "Edieresis"}
+draw.vf.cell(tf, fi, "\\`I", i, nr); i<-i+1; { "Igrave"}
+draw.vf.cell(tf, fi, "\\'I", i, nr); i<-i+1; { "Iacute"}
+draw.vf.cell(tf, fi, "\\^I", i, nr); i<-i+1; { "Icircumflex"}
+draw.vf.cell(tf, fi, "\\:I", i, nr); i<-i+1; { "Idieresis"}
+draw.vf.cell(tf, fi, "\\~N", i, nr); i<-i+1; { "Ntilde"}
+draw.vf.cell(tf, fi, "\\`O", i, nr); i<-i+1; { "Ograve"}
+draw.vf.cell(tf, fi, "\\'O", i, nr); i<-i+1; { "Oacute"}
+draw.vf.cell(tf, fi, "\\^O", i, nr); i<-i+1; { "Ocircumflex"}
+draw.vf.cell(tf, fi, "\\~O", i, nr); i<-i+1; { "Otilde"}
+draw.vf.cell(tf, fi, "\\:O", i, nr); i<-i+1; { "Odieresis"}
+draw.vf.cell(tf, fi, "\\mu", i, nr); i<-i+1; { "multiply"}
+draw.vf.cell(tf, fi, "\\/O", i, nr); i<-i+1; { "Oslash"}
+draw.vf.cell(tf, fi, "\\`U", i, nr); i<-i+1; { "Ugrave"}
+draw.vf.cell(tf, fi, "\\'U", i, nr); i<-i+1; { "Uacute"}
+draw.vf.cell(tf, fi, "\\^U", i, nr); i<-i+1; { "Ucircumflex"}
+draw.vf.cell(tf, fi, "\\:U", i, nr); i<-i+1; { "Udieresis"}
+draw.vf.cell(tf, fi, "\\'Y", i, nr); i<-i+1; { "Yacute"}
+draw.vf.cell(tf, fi, "\\ss", i, nr); i<-i+1; { "germandbls"} # WRONG!
+draw.vf.cell(tf, fi, "\\`a", i, nr); i<-i+1; { "agrave"}
+draw.vf.cell(tf, fi, "\\'a", i, nr); i<-i+1; { "aacute"}
+draw.vf.cell(tf, fi, "\\^a", i, nr); i<-i+1; { "acircumflex"}
+draw.vf.cell(tf, fi, "\\~a", i, nr); i<-i+1; { "atilde"}
+draw.vf.cell(tf, fi, "\\:a", i, nr); i<-i+1; { "adieresis"}
+draw.vf.cell(tf, fi, "\\oa", i, nr); i<-i+1; { "aring"}
+draw.vf.cell(tf, fi, "\\ae", i, nr); i<-i+1; { "ae"}
+draw.vf.cell(tf, fi, "\\,c", i, nr); i<-i+1; { "ccedilla"}
+draw.vf.cell(tf, fi, "\\`e", i, nr); i<-i+1; { "egrave"}
+draw.vf.cell(tf, fi, "\\'e", i, nr); i<-i+1; { "eacute"}
+draw.vf.cell(tf, fi, "\\^e", i, nr); i<-i+1; { "ecircumflex"}
+draw.vf.cell(tf, fi, "\\:e", i, nr); i<-i+1; { "edieresis"}
+draw.vf.cell(tf, fi, "\\`i", i, nr); i<-i+1; { "igrave"}
+draw.vf.cell(tf, fi, "\\'i", i, nr); i<-i+1; { "iacute"}
+draw.vf.cell(tf, fi, "\\^i", i, nr); i<-i+1; { "icircumflex"}
+draw.vf.cell(tf, fi, "\\:i", i, nr); i<-i+1; { "idieresis"}
+draw.vf.cell(tf, fi, "\\~n", i, nr); i<-i+1; { "ntilde"}
+draw.vf.cell(tf, fi, "\\`o", i, nr); i<-i+1; { "ograve"}
+draw.vf.cell(tf, fi, "\\'o", i, nr); i<-i+1; { "oacute"}
+draw.vf.cell(tf, fi, "\\^o", i, nr); i<-i+1; { "ocircumflex"}
+draw.vf.cell(tf, fi, "\\~o", i, nr); i<-i+1; { "otilde"}
+draw.vf.cell(tf, fi, "\\:o", i, nr); i<-i+1; { "odieresis"}
+draw.vf.cell(tf, fi, "\\di", i, nr); i<-i+1; { "divide"}
+draw.vf.cell(tf, fi, "\\/o", i, nr); i<-i+1; { "oslash"}
+draw.vf.cell(tf, fi, "\\`u", i, nr); i<-i+1; { "ugrave"}
+draw.vf.cell(tf, fi, "\\'u", i, nr); i<-i+1; { "uacute"}
+draw.vf.cell(tf, fi, "\\^u", i, nr); i<-i+1; { "ucircumflex"}
+draw.vf.cell(tf, fi, "\\:u", i, nr); i<-i+1; { "udieresis"}
+draw.vf.cell(tf, fi, "\\'y", i, nr); i<-i+1; { "yacute"}
+draw.vf.cell(tf, fi, "\\:y", i, nr); i<-i+1; { "ydieresis"}
+
+nr <- 25
+nc <- 2
+make.table(nr, nc)
+i <- 0
+draw.title("Special Escape Sequences", i, nr, nc)
+draw.vf.cell(tf, fi, "\\AR", i, nr); i<-i+1; { "aries"}
+draw.vf.cell(tf, fi, "\\TA", i, nr); i<-i+1; { "taurus"}
+draw.vf.cell(tf, fi, "\\GE", i, nr); i<-i+1; { "gemini"}
+draw.vf.cell(tf, fi, "\\CA", i, nr); i<-i+1; { "cancer"}
+draw.vf.cell(tf, fi, "\\LE", i, nr); i<-i+1; { "leo"}
+draw.vf.cell(tf, fi, "\\VI", i, nr); i<-i+1; { "virgo"}
+draw.vf.cell(tf, fi, "\\LI", i, nr); i<-i+1; { "libra"}
+draw.vf.cell(tf, fi, "\\SC", i, nr); i<-i+1; { "scorpio"}
+draw.vf.cell(tf, fi, "\\SG", i, nr); i<-i+1; { "sagittarius"}
+draw.vf.cell(tf, fi, "\\CP", i, nr); i<-i+1; { "capricornus"}
+draw.vf.cell(tf, fi, "\\AQ", i, nr); i<-i+1; { "aquarius"}
+draw.vf.cell(tf, fi, "\\PI", i, nr); i<-i+1; { "pisces"}
+draw.vf.cell(tf, fi, "\\~-", i, nr); i<-i+1; { "modifiedcongruent"}
+draw.vf.cell(tf, fi, "\\hb", i, nr); i<-i+1; { "hbar"}
+draw.vf.cell(tf, fi, "\\IB", i, nr); i<-i+1; { "interbang"}
+draw.vf.cell(tf, fi, "\\Lb", i, nr); i<-i+1; { "lambdabar"}
+draw.vf.cell(tf, fi, "\\UD", i, nr); i<-i+1; { "undefined"}
+draw.vf.cell(tf, fi, "\\SO", i, nr); i<-i+1; { "sun"}
+draw.vf.cell(tf, fi, "\\ME", i, nr); i<-i+1; { "mercury"}
+draw.vf.cell(tf, fi, "\\VE", i, nr); i<-i+1; { "venus"}
+draw.vf.cell(tf, fi, "\\EA", i, nr); i<-i+1; { "earth"}
+draw.vf.cell(tf, fi, "\\MA", i, nr); i<-i+1; { "mars"}
+draw.vf.cell(tf, fi, "\\JU", i, nr); i<-i+1; { "jupiter"}
+draw.vf.cell(tf, fi, "\\SA", i, nr); i<-i+1; { "saturn"}
+draw.vf.cell(tf, fi, "\\UR", i, nr); i<-i+1; { "uranus"}
+draw.vf.cell(tf, fi, "\\NE", i, nr); i<-i+1; { "neptune"}
+draw.vf.cell(tf, fi, "\\PL", i, nr); i<-i+1; { "pluto"}
+draw.vf.cell(tf, fi, "\\LU", i, nr); i<-i+1; { "moon"}
+draw.vf.cell(tf, fi, "\\CT", i, nr); i<-i+1; { "comet"}
+draw.vf.cell(tf, fi, "\\ST", i, nr); i<-i+1; { "star"}
+draw.vf.cell(tf, fi, "\\AS", i, nr); i<-i+1; { "ascendingnode"}
+draw.vf.cell(tf, fi, "\\DE", i, nr); i<-i+1; { "descendingnode"}
+draw.vf.cell(tf, fi, "\\s-", i, nr); i<-i+1; { "s1"}
+draw.vf.cell(tf, fi, "\\dg", i, nr); i<-i+1; { "dagger"}
+draw.vf.cell(tf, fi, "\\dd", i, nr); i<-i+1; { "daggerdbl"}
+draw.vf.cell(tf, fi, "\\li", i, nr); i<-i+1; { "line integral"}
+draw.vf.cell(tf, fi, "\\-+", i, nr); i<-i+1; { "minusplus"}
+draw.vf.cell(tf, fi, "\\||", i, nr); i<-i+1; { "parallel"}
+draw.vf.cell(tf, fi, "\\rn", i, nr); i<-i+1; { "overscore"}
+draw.vf.cell(tf, fi, "\\ul", i, nr); i<-i+1; { "underscore"}
+
+nr <- 25
+nc <- 3
+make.table(nr, nc)
+## octal escape codes, as decimals
+code <- c(300:307,310:317,320:327,330:337,340:347,350:357,360:367,370:377,
+          243,263)
+ocode <- 64*(code%/%100) + 8*(code%/%10)%%10 + code%%10
+string <- rawToChar(as.raw(ocode), multiple=TRUE)
+draw.title("Cyrillic Octal Codes", i = 0, nr ,nc)
+for (i in 1:66)
+    draw.vf.cell(tf, "cyrillic", string[i], i-1, nr,
+                 raw.string=paste("\\", as.character(code[i]), sep=""))
+
+nr <- 25
+nc <- 3
+make.table(nr, nc)
+code <- c(252,254,256,262:269,275,278:281,284,745,746,750:768,796:802,
+          804:807,809,814:828,830:834,840:844)
+draw.title("Raw Hershey Escape Sequences", i=0, nr, nc)
+for (i in 1:75)
+    draw.vf.cell(tf, fi, paste("\\#H",formatC(code[i],wid=4,flag="0"),sep=""),
+                 i-1, nr)
+make.table(nr, nc)
+code <- c(845:847,850:856,860:874,899:909,2296:2299,2318:2332,2367:2382,
+          4014,4109)
+draw.title("More Raw Hershey Escape Sequences", i=0, nr, nc)
+for (i in 1:73)
+    draw.vf.cell(tf, fi, paste("\\#H",formatC(code[i],wid=4,flag="0"),sep=""),
+                 i-1, nr)
+
+par(oldpar)
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/graphics/demo/plotmath.R
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/graphics/demo/plotmath.R	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/graphics/demo/plotmath.R	(revision 3761)
@@ -0,0 +1,197 @@
+#  Copyright (C) 2002-2016 The R Core Team
+
+require(datasets)
+require(grDevices); require(graphics)
+
+## --- "math annotation" in plots :
+
+######
+# create tables of mathematical annotation functionality
+######
+make.table <- function(nr, nc) {
+    savepar <- par(mar=rep(0, 4), pty="s")
+    plot(c(0, nc*2 + 1), c(0, -(nr + 1)),
+         type="n", xlab="", ylab="", axes=FALSE)
+    savepar
+}
+
+get.r <- function(i, nr) {
+    i %% nr + 1
+}
+
+get.c <- function(i, nr) {
+    i %/% nr + 1
+}
+
+draw.title.cell <- function(title, i, nr) {
+    r <- get.r(i, nr)
+    c <- get.c(i, nr)
+    text(2*c - .5, -r, title)
+    rect((2*(c - 1) + .5), -(r - .5), (2*c + .5), -(r + .5))
+}
+
+draw.plotmath.cell <- function(expr, i, nr, string = NULL) {
+    r <- get.r(i, nr)
+    c <- get.c(i, nr)
+    if (is.null(string)) {
+        string <- deparse(expr)
+        string <- substr(string, 12, nchar(string) - 1)
+    }
+    text((2*(c - 1) + 1), -r, string, col="grey50")
+    text((2*c), -r, expr, adj=c(.5,.5))
+    rect((2*(c - 1) + .5), -(r - .5), (2*c + .5), -(r + .5), border="grey")
+}
+
+nr <- 20
+nc <- 2
+oldpar <- make.table(nr, nc)
+i <- 0
+draw.title.cell("Arithmetic Operators", i, nr); i <- i + 1
+draw.plotmath.cell(expression(x + y), i, nr); i <- i + 1
+draw.plotmath.cell(expression(x - y), i, nr); i <- i + 1
+draw.plotmath.cell(expression(x * y), i, nr); i <- i + 1
+draw.plotmath.cell(expression(x / y), i, nr); i <- i + 1
+draw.plotmath.cell(expression(x %+-% y), i, nr); i <- i + 1
+draw.plotmath.cell(expression(x %/% y), i, nr); i <- i + 1
+draw.plotmath.cell(expression(x %*% y), i, nr); i <- i + 1
+draw.plotmath.cell(expression(x %.% y), i, nr); i <- i + 1
+draw.plotmath.cell(expression(-x), i, nr); i <- i + 1
+draw.plotmath.cell(expression(+x), i, nr); i <- i + 1
+draw.title.cell("Sub/Superscripts", i, nr); i <- i + 1
+draw.plotmath.cell(expression(x[i]), i, nr); i <- i + 1
+draw.plotmath.cell(expression(x^2), i, nr); i <- i + 1
+draw.title.cell("Juxtaposition", i, nr); i <- i + 1
+draw.plotmath.cell(expression(x * y), i, nr); i <- i + 1
+draw.plotmath.cell(expression(paste(x, y, z)), i, nr); i <- i + 1
+draw.title.cell("Radicals", i, nr); i <- i + 1
+draw.plotmath.cell(expression(sqrt(x)), i, nr); i <- i + 1
+draw.plotmath.cell(expression(sqrt(x, y)), i, nr); i <- i + 1
+draw.title.cell("Lists", i, nr); i <- i + 1
+draw.plotmath.cell(expression(list(x, y, z)), i, nr); i <- i + 1
+draw.title.cell("Relations", i, nr); i <- i + 1
+draw.plotmath.cell(expression(x == y), i, nr); i <- i + 1
+draw.plotmath.cell(expression(x != y), i, nr); i <- i + 1
+draw.plotmath.cell(expression(x < y), i, nr); i <- i + 1
+draw.plotmath.cell(expression(x <= y), i, nr); i <- i + 1
+draw.plotmath.cell(expression(x > y), i, nr); i <- i + 1
+draw.plotmath.cell(expression(x >= y), i, nr); i <- i + 1
+draw.plotmath.cell(expression(x %~~% y), i, nr); i <- i + 1
+draw.plotmath.cell(expression(x %=~% y), i, nr); i <- i + 1
+draw.plotmath.cell(expression(x %==% y), i, nr); i <- i + 1
+draw.plotmath.cell(expression(x %prop% y), i, nr); i <- i + 1
+draw.plotmath.cell(expression(x %~% y), i, nr); i <- i + 1
+draw.title.cell("Typeface", i, nr); i <- i + 1
+draw.plotmath.cell(expression(plain(x)), i, nr); i <- i + 1
+draw.plotmath.cell(expression(italic(x)), i, nr); i <- i + 1
+draw.plotmath.cell(expression(bold(x)), i, nr); i <- i + 1
+draw.plotmath.cell(expression(bolditalic(x)), i, nr); i <- i + 1
+draw.plotmath.cell(expression(underline(x)), i, nr); i <- i + 1
+
+# Need fewer, wider columns for ellipsis ...
+nr <- 20
+nc <- 2
+make.table(nr, nc)
+i <- 0
+draw.title.cell("Ellipsis", i, nr); i <- i + 1
+draw.plotmath.cell(expression(list(x[1], ..., x[n])), i, nr); i <- i + 1
+draw.plotmath.cell(expression(x[1] + ... + x[n]), i, nr); i <- i + 1
+draw.plotmath.cell(expression(list(x[1], cdots, x[n])), i, nr); i <- i + 1
+draw.plotmath.cell(expression(x[1] + ldots + x[n]), i, nr); i <- i + 1
+draw.title.cell("Set Relations", i, nr); i <- i + 1
+draw.plotmath.cell(expression(x %subset% y), i, nr); i <- i + 1
+draw.plotmath.cell(expression(x %subseteq% y), i, nr); i <- i + 1
+draw.plotmath.cell(expression(x %supset% y), i, nr); i <- i + 1
+draw.plotmath.cell(expression(x %supseteq% y), i, nr); i <- i + 1
+draw.plotmath.cell(expression(x %notsubset% y), i, nr); i <- i + 1
+draw.plotmath.cell(expression(x %in% y), i, nr); i <- i + 1
+draw.plotmath.cell(expression(x %notin% y), i, nr); i <- i + 1
+draw.title.cell("Accents", i, nr); i <- i + 1
+draw.plotmath.cell(expression(hat(x)), i, nr); i <- i + 1
+draw.plotmath.cell(expression(tilde(x)), i, nr); i <- i + 1
+draw.plotmath.cell(expression(ring(x)), i, nr); i <- i + 1
+draw.plotmath.cell(expression(bar(xy)), i, nr); i <- i + 1
+draw.plotmath.cell(expression(widehat(xy)), i, nr); i <- i + 1
+draw.plotmath.cell(expression(widetilde(xy)), i, nr); i <- i + 1
+draw.title.cell("Arrows", i, nr); i <- i + 1
+draw.plotmath.cell(expression(x %<->% y), i, nr); i <- i + 1
+draw.plotmath.cell(expression(x %->% y), i, nr); i <- i + 1
+draw.plotmath.cell(expression(x %<-% y), i, nr); i <- i + 1
+draw.plotmath.cell(expression(x %up% y), i, nr); i <- i + 1
+draw.plotmath.cell(expression(x %down% y), i, nr); i <- i + 1
+draw.plotmath.cell(expression(x %<=>% y), i, nr); i <- i + 1
+draw.plotmath.cell(expression(x %=>% y), i, nr); i <- i + 1
+draw.plotmath.cell(expression(x %<=% y), i, nr); i <- i + 1
+draw.plotmath.cell(expression(x %dblup% y), i, nr); i <- i + 1
+draw.plotmath.cell(expression(x %dbldown% y), i, nr); i <- i + 1
+draw.title.cell("Symbolic Names", i, nr); i <- i + 1
+draw.plotmath.cell(expression(Alpha - Omega), i, nr); i <- i + 1
+draw.plotmath.cell(expression(alpha - omega), i, nr); i <- i + 1
+draw.plotmath.cell(expression(phi1 + sigma1), i, nr); i <- i + 1
+draw.plotmath.cell(expression(Upsilon1), i, nr); i <- i + 1
+draw.plotmath.cell(expression(infinity), i, nr); i <- i + 1
+draw.plotmath.cell(expression(32 * degree), i, nr); i <- i + 1
+draw.plotmath.cell(expression(60 * minute), i, nr); i <- i + 1
+draw.plotmath.cell(expression(30 * second), i, nr); i <- i + 1
+
+# Need even fewer, wider columns for typeface and style ...
+nr <- 20
+nc <- 1
+make.table(nr, nc)
+i <- 0
+draw.title.cell("Style", i, nr); i <- i + 1
+draw.plotmath.cell(expression(displaystyle(x)), i, nr); i <- i + 1
+draw.plotmath.cell(expression(textstyle(x)), i, nr); i <- i + 1
+draw.plotmath.cell(expression(scriptstyle(x)), i, nr); i <- i + 1
+draw.plotmath.cell(expression(scriptscriptstyle(x)), i, nr); i <- i + 1
+draw.title.cell("Spacing", i, nr); i <- i + 1
+draw.plotmath.cell(expression(x ~~ y), i, nr); i <- i + 1
+
+# Need fewer, taller rows for fractions ...
+# cheat a bit to save pages
+par(new = TRUE)
+nr <- 10
+nc <- 1
+make.table(nr, nc)
+i <- 4
+draw.plotmath.cell(expression(x + phantom(0) + y), i, nr); i <- i + 1
+draw.plotmath.cell(expression(x + over(1, phantom(0))), i, nr); i <- i + 1
+draw.title.cell("Fractions", i, nr); i <- i + 1
+draw.plotmath.cell(expression(frac(x, y)), i, nr); i <- i + 1
+draw.plotmath.cell(expression(over(x, y)), i, nr); i <- i + 1
+draw.plotmath.cell(expression(atop(x, y)), i, nr); i <- i + 1
+
+# Need fewer, taller rows and fewer, wider columns for big operators ...
+nr <- 10
+nc <- 1
+make.table(nr, nc)
+i <- 0
+draw.title.cell("Big Operators", i, nr); i <- i + 1
+draw.plotmath.cell(expression(sum(x[i], i=1, n)), i, nr); i <- i + 1
+draw.plotmath.cell(expression(prod(plain(P)(X == x), x)), i, nr); i <- i + 1
+draw.plotmath.cell(expression(integral(f(x) * dx, a, b)), i, nr); i <- i + 1
+draw.plotmath.cell(expression(union(A[i], i==1, n)), i, nr); i <- i + 1
+draw.plotmath.cell(expression(intersect(A[i], i==1, n)), i, nr); i <- i + 1
+draw.plotmath.cell(expression(lim(f(x), x %->% 0)), i, nr); i <- i + 1
+draw.plotmath.cell(expression(min(g(x), x >= 0)), i, nr); i <- i + 1
+draw.plotmath.cell(expression(inf(S)), i, nr); i <- i + 1
+draw.plotmath.cell(expression(sup(S)), i, nr); i <- i + 1
+
+nr <- 12
+nc <- 1
+make.table(nr, nc)
+i <- 0
+draw.title.cell("Grouping", i, nr); i <- i + 1
+# Those involving '{ . }' have to be done "by hand"
+draw.plotmath.cell(expression({}(x , y)), i, nr, string="{}(x, y)"); i <- i + 1
+draw.plotmath.cell(expression((x + y)*z), i, nr); i <- i + 1
+draw.plotmath.cell(expression(x^y + z),   i, nr); i <- i + 1
+draw.plotmath.cell(expression(x^(y + z)), i, nr); i <- i + 1
+draw.plotmath.cell(expression(x^{y + z}), i, nr, string="x^{y + z}"); i <- i + 1
+draw.plotmath.cell(expression(group("(", list(a, b), "]")), i, nr); i <- i + 1
+draw.plotmath.cell(expression(bgroup("(", atop(x, y), ")")), i, nr); i <- i + 1
+draw.plotmath.cell(expression(group(lceil, x, rceil)), i, nr); i <- i + 1
+draw.plotmath.cell(expression(group(lfloor, x, rfloor)), i, nr); i <- i + 1
+draw.plotmath.cell(expression(group(langle, list(x, y), rangle)), i, nr); i <- i + 1
+draw.plotmath.cell(expression(group("|", x, "|")), i, nr); i <- i + 1
+
+par(oldpar)
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/graphics/demo/persp.R
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/graphics/demo/persp.R	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/graphics/demo/persp.R	(revision 3761)
@@ -0,0 +1,86 @@
+### Demos for  persp()  plots   -- things not in  example(persp)
+### -------------------------
+
+require(datasets)
+require(grDevices); require(graphics)
+
+## (1) The Obligatory Mathematical surface.
+##     Rotated sinc function.
+
+x <- seq(-10, 10, length.out = 50)
+y <- x
+rotsinc <- function(x,y)
+{
+    sinc <- function(x) { y <- sin(x)/x ; y[is.na(y)] <- 1; y }
+    10 * sinc( sqrt(x^2+y^2) )
+}
+sinc.exp <- expression(z == Sinc(sqrt(x^2 + y^2)))
+
+z <- outer(x, y, rotsinc)
+
+
+oldpar <- par(bg = "white")
+persp(x, y, z, theta = 30, phi = 30, expand = 0.5, col = "lightblue")
+title(sub=".")## work around persp+plotmath bug
+title(main = sinc.exp)
+
+persp(x, y, z, theta = 30, phi = 30, expand = 0.5, col = "lightblue",
+      ltheta = 120, shade = 0.75, ticktype = "detailed",
+      xlab = "X", ylab = "Y", zlab = "Z")
+title(sub=".")## work around persp+plotmath bug
+title(main = sinc.exp)
+
+
+
+## (2) Visualizing a simple DEM model
+
+z <- 2 * volcano        # Exaggerate the relief
+x <- 10 * (1:nrow(z))   # 10 meter spacing (S to N)
+y <- 10 * (1:ncol(z))   # 10 meter spacing (E to W)
+persp(x, y, z, theta = 120, phi = 15, scale = FALSE, axes = FALSE)
+
+
+## (3) Now something more complex
+##     We border the surface, to make it more "slice like"
+##     and color the top and sides of the surface differently.
+
+z0 <- min(z) - 20
+z <- rbind(z0, cbind(z0, z, z0), z0)
+x <- c(min(x) - 1e-10, x, max(x) + 1e-10)
+y <- c(min(y) - 1e-10, y, max(y) + 1e-10)
+
+fill <- matrix("green3", nrow = nrow(z)-1, ncol = ncol(z)-1)
+fill[ , i2 <- c(1,ncol(fill))] <- "gray"
+fill[i1 <- c(1,nrow(fill)) , ] <- "gray"
+
+par(bg = "lightblue")
+persp(x, y, z, theta = 120, phi = 15, col = fill, scale = FALSE, axes = FALSE)
+title(main = "Maunga Whau\nOne of 50 Volcanoes in the Auckland Region.",
+      font.main = 4)
+
+par(bg = "slategray")
+persp(x, y, z, theta = 135, phi = 30, col = fill, scale = FALSE,
+      ltheta = -120, lphi = 15, shade = 0.65, axes = FALSE)
+## Don't draw the grid lines :  border = NA
+persp(x, y, z, theta = 135, phi = 30, col = "green3", scale = FALSE,
+      ltheta = -120, shade = 0.75, border = NA, box = FALSE)
+
+## `color gradient in the soil' :
+fcol <- fill ; fcol[] <- terrain.colors(nrow(fcol))
+persp(x, y, z, theta = 135, phi = 30, col = fcol, scale = FALSE,
+      ltheta = -120, shade = 0.3, border = NA, box = FALSE)
+
+## `image like' colors on top :
+fcol <- fill
+zi <- volcano[ -1,-1] + volcano[ -1,-61] +
+           volcano[-87,-1] + volcano[-87,-61]  ## / 4
+fcol[-i1,-i2] <-
+    terrain.colors(20)[cut(zi,
+                           stats::quantile(zi, seq(0,1, length.out = 21)),
+                           include.lowest = TRUE)]
+persp(x, y, 2*z, theta = 110, phi = 40, col = fcol, scale = FALSE,
+      ltheta = -120, shade = 0.4, border = NA, box = FALSE)
+
+
+## reset par():
+par(oldpar)
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/graphics/demo/graphics.R
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/graphics/demo/graphics.R	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/graphics/demo/graphics.R	(revision 3761)
@@ -0,0 +1,145 @@
+#  Copyright (C) 1997-2009 The R Core Team
+
+require(datasets)
+require(grDevices); require(graphics)
+
+## Here is some code which illustrates some of the differences between
+## R and S graphics capabilities.  Note that colors are generally specified
+## by a character string name (taken from the X11 rgb.txt file) and that line
+## textures are given similarly.  The parameter "bg" sets the background
+## parameter for the plot and there is also an "fg" parameter which sets
+## the foreground color.
+
+
+x <- stats::rnorm(50)
+opar <- par(bg = "white")
+plot(x, ann = FALSE, type = "n")
+abline(h = 0, col = gray(.90))
+lines(x, col = "green4", lty = "dotted")
+points(x, bg = "limegreen", pch = 21)
+title(main = "Simple Use of Color In a Plot",
+      xlab = "Just a Whisper of a Label",
+      col.main = "blue", col.lab = gray(.8),
+      cex.main = 1.2, cex.lab = 1.0, font.main = 4, font.lab = 3)
+
+
+## A little color wheel.	 This code just plots equally spaced hues in
+## a pie chart.	If you have a cheap SVGA monitor (like me) you will
+## probably find that numerically equispaced does not mean visually
+## equispaced.  On my display at home, these colors tend to cluster at
+## the RGB primaries.  On the other hand on the SGI Indy at work the
+## effect is near perfect.
+
+par(bg = "gray")
+pie(rep(1,24), col = rainbow(24), radius = 0.9)
+title(main = "A Sample Color Wheel", cex.main = 1.4, font.main = 3)
+title(xlab = "(Use this as a test of monitor linearity)",
+      cex.lab = 0.8, font.lab = 3)
+
+
+## We have already confessed to having these.  This is just showing off X11
+## color names (and the example (from the postscript manual) is pretty "cute".
+
+pie.sales <- c(0.12, 0.3, 0.26, 0.16, 0.04, 0.12)
+names(pie.sales) <- c("Blueberry", "Cherry",
+		      "Apple", "Boston Cream", "Other", "Vanilla Cream")
+pie(pie.sales,
+    col = c("purple","violetred1","green3","cornsilk","cyan","white"))
+title(main = "January Pie Sales", cex.main = 1.8, font.main = 1)
+title(xlab = "(Don't try this at home kids)", cex.lab = 0.8, font.lab = 3)
+
+
+## Boxplots:  I couldn't resist the capability for filling the "box".
+## The use of color seems like a useful addition, it focuses attention
+## on the central bulk of the data.
+
+par(bg="cornsilk")
+n <- 10
+g <- gl(n, 100, n*100)
+x <- rnorm(n*100) + sqrt(as.numeric(g))
+boxplot(split(x,g), col="lavender", notch=TRUE)
+title(main="Notched Boxplots", xlab="Group", font.main=4, font.lab=1)
+
+
+## An example showing how to fill between curves.
+
+par(bg="white")
+n <- 100
+x <- c(0,cumsum(rnorm(n)))
+y <- c(0,cumsum(rnorm(n)))
+xx <- c(0:n, n:0)
+yy <- c(x, rev(y))
+plot(xx, yy, type="n", xlab="Time", ylab="Distance")
+polygon(xx, yy, col="gray")
+title("Distance Between Brownian Motions")
+
+
+## Colored plot margins, axis labels and titles.	 You do need to be
+## careful with these kinds of effects.	It's easy to go completely
+## over the top and you can end up with your lunch all over the keyboard.
+## On the other hand, my market research clients love it.
+
+x <- c(0.00, 0.40, 0.86, 0.85, 0.69, 0.48, 0.54, 1.09, 1.11, 1.73, 2.05, 2.02)
+par(bg="lightgray")
+plot(x, type="n", axes=FALSE, ann=FALSE)
+usr <- par("usr")
+rect(usr[1], usr[3], usr[2], usr[4], col="cornsilk", border="black")
+lines(x, col="blue")
+points(x, pch=21, bg="lightcyan", cex=1.25)
+axis(2, col.axis="blue", las=1)
+axis(1, at=1:12, lab=month.abb, col.axis="blue")
+box()
+title(main= "The Level of Interest in R", font.main=4, col.main="red")
+title(xlab= "1996", col.lab="red")
+
+
+## A filled histogram, showing how to change the font used for the
+## main title without changing the other annotation.
+
+par(bg="cornsilk")
+x <- rnorm(1000)
+hist(x, xlim=range(-4, 4, x), col="lavender", main="")
+title(main="1000 Normal Random Variates", font.main=3)
+
+
+## A scatterplot matrix
+## The good old Iris data (yet again)
+
+pairs(iris[1:4], main="Edgar Anderson's Iris Data", font.main=4, pch=19)
+pairs(iris[1:4], main="Edgar Anderson's Iris Data", pch=21,
+      bg = c("red", "green3", "blue")[unclass(iris$Species)])
+
+
+## Contour plotting
+## This produces a topographic map of one of Auckland's many volcanic "peaks".
+
+x <- 10*1:nrow(volcano)
+y <- 10*1:ncol(volcano)
+lev <- pretty(range(volcano), 10)
+par(bg = "lightcyan")
+pin <- par("pin")
+xdelta <- diff(range(x))
+ydelta <- diff(range(y))
+xscale <- pin[1]/xdelta
+yscale <- pin[2]/ydelta
+scale <- min(xscale, yscale)
+xadd <- 0.5*(pin[1]/scale - xdelta)
+yadd <- 0.5*(pin[2]/scale - ydelta)
+plot(numeric(0), numeric(0),
+     xlim = range(x)+c(-1,1)*xadd, ylim = range(y)+c(-1,1)*yadd,
+     type = "n", ann = FALSE)
+usr <- par("usr")
+rect(usr[1], usr[3], usr[2], usr[4], col="green3")
+contour(x, y, volcano, levels = lev, col="yellow", lty="solid", add=TRUE)
+box()
+title("A Topographic Map of Maunga Whau", font= 4)
+title(xlab = "Meters North", ylab = "Meters West", font= 3)
+mtext("10 Meter Contour Spacing", side=3, line=0.35, outer=FALSE,
+      at = mean(par("usr")[1:2]), cex=0.7, font=3)
+
+## Conditioning plots
+
+par(bg="cornsilk")
+coplot(lat ~ long | depth, data = quakes, pch = 21, bg = "green3")
+
+par(opar)
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/graphics/demo/image.R
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/graphics/demo/image.R	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/graphics/demo/image.R	(revision 3761)
@@ -0,0 +1,37 @@
+#  Copyright (C) 1997-2009 The R Core Team
+
+require(datasets)
+require(grDevices); require(graphics)
+
+x <- 10*(1:nrow(volcano)); x.at <- seq(100, 800, by=100)
+y <- 10*(1:ncol(volcano)); y.at <- seq(100, 600, by=100)
+
+					# Using Terrain Colors
+
+image(x, y, volcano, col=terrain.colors(100),axes=FALSE)
+contour(x, y, volcano, levels=seq(90, 200, by=5), add=TRUE, col="brown")
+axis(1, at=x.at)
+axis(2, at=y.at)
+box()
+title(main="Maunga Whau Volcano", sub = "col=terrain.colors(100)", font.main=4)
+
+					# Using Heat Colors
+
+image(x, y, volcano, col=heat.colors(100), axes=FALSE)
+contour(x, y, volcano, levels=seq(90, 200, by=5), add=TRUE, col="brown")
+axis(1, at=x.at)
+axis(2, at=y.at)
+box()
+title(main="Maunga Whau Volcano", sub = "col=heat.colors(100)", font.main=4)
+
+					# Using Gray Scale
+
+image(x, y, volcano, col=gray(100:200/200), axes=FALSE)
+contour(x, y, volcano, levels=seq(90, 200, by=5), add=TRUE, col="black")
+axis(1, at=x.at)
+axis(2, at=y.at)
+box()
+title(main="Maunga Whau Volcano \n col=gray(100:200/200)", font.main=4)
+
+## Filled Contours are even nicer sometimes :
+example(filled.contour)
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/graphics/html/R.css
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/graphics/html/R.css	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/graphics/html/R.css	(revision 3761)
@@ -0,0 +1,120 @@
+@media screen {
+    .container {
+	padding-right: 10px;
+	padding-left: 10px;
+	margin-right: auto;
+	margin-left: auto;
+	max-width: 900px;
+    }
+}
+
+.rimage img { /* from knitr - for examples and demos */
+    width: 96%;
+    margin-left: 2%;
+} 	
+
+.katex { font-size: 1.1em; }
+
+code {
+    color: inherit;
+    background: inherit;
+}
+
+body {
+    line-height: 1.4;
+    background: white;
+    color: black;
+}
+
+a:link {
+    background: white;
+    color: blue;
+}
+
+a:visited {
+    background: white;
+    color: rgb(50%, 0%, 50%);
+}
+
+h1 {
+    background: white;
+    color: rgb(55%, 55%, 55%);
+    font-family: monospace;
+    font-size: 1.4em; /* x-large; */
+    text-align: center;
+}
+
+h2 {
+    background: white;
+    color: rgb(40%, 40%, 40%);
+    font-family: monospace;
+    font-size: 1.2em; /* large; */
+    text-align: center;
+}
+
+h3 {
+    background: white;
+    color: rgb(40%, 40%, 40%);
+    font-family: monospace;
+    font-size: 1.2em; /* large; */
+}
+
+h4 {
+    background: white;
+    color: rgb(40%, 40%, 40%);
+    font-family: monospace;
+    font-style: italic;
+    font-size: 1.2em; /* large; */
+}
+
+h5 {
+    background: white;
+    color: rgb(40%, 40%, 40%);
+    font-family: monospace;
+}
+
+h6 {
+    background: white;
+    color: rgb(40%, 40%, 40%);
+    font-family: monospace;
+    font-style: italic;
+}
+
+img.toplogo {
+    width: 4em;
+    vertical-align: middle;
+}
+
+img.arrow {
+    width: 30px;
+    height: 30px;
+    border: 0;
+}
+
+span.acronym {
+    font-size: small;
+}
+
+span.env {
+    font-family: monospace;
+}
+
+span.file {
+    font-family: monospace;
+}
+
+span.option{
+    font-family: monospace;
+}
+
+span.pkg {
+    font-weight: bold;
+}
+
+span.samp{
+    font-family: monospace;
+}
+
+div.vignettes a:hover {
+    background: rgb(85%, 85%, 85%);
+}
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/graphics/html/00Index.html
===================================================================
--- TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/graphics/html/00Index.html	(revision 0)
+++ TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/graphics/html/00Index.html	(revision 3761)
@@ -0,0 +1,222 @@
+<!DOCTYPE html>
+<html>
+<head><title>R: The R Graphics Package</title>
+<meta http-equiv="Content-Type" content="text/html; charset=utf-8" />
+<meta name="viewport" content="width=device-width, initial-scale=1.0, user-scalable=yes" />
+<link rel="stylesheet" type="text/css" href="R.css" />
+</head><body><div class="container">
+<h1> The R Graphics Package
+<img class="toplogo" src="../../../doc/html/Rlogo.svg" alt="[R logo]" />
+</h1>
+<hr/>
+<div style="text-align: center;">
+<a href="../../../doc/html/packages.html"><img class="arrow" src="../../../doc/html/left.jpg" alt="[Up]" /></a>
+<a href="../../../doc/html/index.html"><img class="arrow" src="../../../doc/html/up.jpg" alt="[Top]" /></a>
+</div><h2>Documentation for package &lsquo;graphics&rsquo; version 4.2.2</h2>
+
+<ul><li><a href="../DESCRIPTION">DESCRIPTION file</a>.</li>
+<li><a href="../demo">Code demos</a>.  Use <a href="../../utils/help/demo">demo()</a> to run them.</li>
+</ul>
+
+<h2>Help Pages</h2>
+
+
+<table style="width: 100%;">
+<tr><td style="width: 25%;"><a href="graphics-package.html">graphics-package</a></td>
+<td>The R Graphics Package</td></tr>
+<tr><td style="width: 25%;"><a href="filled.contour.html">.filled.contour</a></td>
+<td>Level (Contour) Plots</td></tr>
+<tr><td style="width: 25%;"><a href="par.html">.Pars</a></td>
+<td>Set or Query Graphical Parameters</td></tr>
+<tr><td style="width: 25%;"><a href="abline.html">abline</a></td>
+<td>Add Straight Lines to a Plot</td></tr>
+<tr><td style="width: 25%;"><a href="arrows.html">arrows</a></td>
+<td>Add Arrows to a Plot</td></tr>
+<tr><td style="width: 25%;"><a href="plot.window.html">asp</a></td>
+<td>Set up World Coordinates for Graphics Window</td></tr>
+<tr><td style="width: 25%;"><a href="assocplot.html">assocplot</a></td>
+<td>Association Plots</td></tr>
+<tr><td style="width: 25%;"><a href="zAxis.html">Axis</a></td>
+<td>Generic Function to Add an Axis to a Plot</td></tr>
+<tr><td style="width: 25%;"><a href="axis.html">axis</a></td>
+<td>Add an Axis to a Plot</td></tr>
+<tr><td style="width: 25%;"><a href="axis.POSIXct.html">axis.POSIXct</a></td>
+<td>Date and Date-time Plotting Functions</td></tr>
+<tr><td style="width: 25%;"><a href="axTicks.html">axTicks</a></td>
+<td>Compute Axis Tickmark Locations</td></tr>
+<tr><td style="width: 25%;"><a href="barplot.html">barplot</a></td>
+<td>Bar Plots</td></tr>
+<tr><td style="width: 25%;"><a href="box.html">box</a></td>
+<td>Draw a Box around a Plot</td></tr>
+<tr><td style="width: 25%;"><a href="boxplot.html">boxplot</a></td>
+<td>Box Plots</td></tr>
+<tr><td style="width: 25%;"><a href="boxplot.matrix.html">boxplot.matrix</a></td>
+<td>Draw a Boxplot for each Column (Row) of a Matrix</td></tr>
+<tr><td style="width: 25%;"><a href="bxp.html">bxp</a></td>
+<td>Draw Box Plots from Summaries</td></tr>
+<tr><td style="width: 25%;"><a href="cdplot.html">cdplot</a></td>
+<td>Conditional Density Plots</td></tr>
+<tr><td style="width: 25%;"><a href="clip.html">clip</a></td>
+<td>Set Clipping Region</td></tr>
+<tr><td style="width: 25%;"><a href="screen.html">close.screen</a></td>
+<td>Creating and Controlling Multiple Screens on a Single Device</td></tr>
+<tr><td style="width: 25%;"><a href="coplot.html">co.intervals</a></td>
+<td>Conditioning Plots</td></tr>
+<tr><td style="width: 25%;"><a href="contour.html">contour</a></td>
+<td>Display Contours</td></tr>
+<tr><td style="width: 25%;"><a href="coplot.html">coplot</a></td>
+<td>Conditioning Plots</td></tr>
+<tr><td style="width: 25%;"><a href="curve.html">curve</a></td>
+<td>Draw Function Plots</td></tr>
+<tr><td style="width: 25%;"><a href="dotchart.html">dotchart</a></td>
+<td>Cleveland's Dot Plots</td></tr>
+<tr><td style="width: 25%;"><a href="screen.html">erase.screen</a></td>
+<td>Creating and Controlling Multiple Screens on a Single Device</td></tr>
+<tr><td style="width: 25%;"><a href="filled.contour.html">filled.contour</a></td>
+<td>Level (Contour) Plots</td></tr>
+<tr><td style="width: 25%;"><a href="fourfoldplot.html">fourfoldplot</a></td>
+<td>Fourfold Plots</td></tr>
+<tr><td style="width: 25%;"><a href="frame.html">frame</a></td>
+<td>Create / Start a New Plot Frame</td></tr>
+<tr><td style="width: 25%;"><a href="par.html">graphical parameter</a></td>
+<td>Set or Query Graphical Parameters</td></tr>
+<tr><td style="width: 25%;"><a href="par.html">graphical parameters</a></td>
+<td>Set or Query Graphical Parameters</td></tr>
+<tr><td style="width: 25%;"><a href="graphics-package.html">graphics</a></td>
+<td>The R Graphics Package</td></tr>
+<tr><td style="width: 25%;"><a href="convertXY.html">grconvertX</a></td>
+<td>Convert between Graphics Coordinate Systems</td></tr>
+<tr><td style="width: 25%;"><a href="convertXY.html">grconvertY</a></td>
+<td>Convert between Graphics Coordinate Systems</td></tr>
+<tr><td style="width: 25%;"><a href="grid.html">grid</a></td>
+<td>Add Grid to a Plot</td></tr>
+<tr><td style="width: 25%;"><a href="hist.html">hist</a></td>
+<td>Histograms</td></tr>
+<tr><td style="width: 25%;"><a href="hist.POSIXt.html">hist.POSIXt</a></td>
+<td>Histogram of a Date or Date-Time Object</td></tr>
+<tr><td style="width: 25%;"><a href="identify.html">identify</a></td>
+<td>Identify Points in a Scatter Plot</td></tr>
+<tr><td style="width: 25%;"><a href="image.html">image</a></td>
+<td>Display a Color Image</td></tr>
+<tr><td style="width: 25%;"><a href="layout.html">layout</a></td>
+<td>Specifying Complex Plot Arrangements</td></tr>
+<tr><td style="width: 25%;"><a href="layout.html">lcm</a></td>
+<td>Specifying Complex Plot Arrangements</td></tr>
+<tr><td style="width: 25%;"><a href="legend.html">legend</a></td>
+<td>Add Legends to Plots</td></tr>
+<tr><td style="width: 25%;"><a href="lines.html">lines</a></td>
+<td>Add Connected Line Segments to a Plot</td></tr>
+<tr><td style="width: 25%;"><a href="plot.formula.html">lines.formula</a></td>
+<td>Formula Notation for Scatterplots</td></tr>
+<tr><td style="width: 25%;"><a href="plothistogram.html">lines.histogram</a></td>
+<td>Plot Histograms</td></tr>
+<tr><td style="width: 25%;"><a href="plot.table.html">lines.table</a></td>
+<td>Plot Methods for 'table' Objects</td></tr>
+<tr><td style="width: 25%;"><a href="locator.html">locator</a></td>
+<td>Graphical Input</td></tr>
+<tr><td style="width: 25%;"><a href="matplot.html">matlines</a></td>
+<td>Plot Columns of Matrices</td></tr>
+<tr><td style="width: 25%;"><a href="matplot.html">matplot</a></td>
+<td>Plot Columns of Matrices</td></tr>
+<tr><td style="width: 25%;"><a href="matplot.html">matpoints</a></td>
+<td>Plot Columns of Matrices</td></tr>
+<tr><td style="width: 25%;"><a href="mosaicplot.html">mosaicplot</a></td>
+<td>Mosaic Plots</td></tr>
+<tr><td style="width: 25%;"><a href="mtext.html">mtext</a></td>
+<td>Write Text into the Margins of a Plot</td></tr>
+<tr><td style="width: 25%;"><a href="pairs.html">pairs</a></td>
+<td>Scatterplot Matrices</td></tr>
+<tr><td style="width: 25%;"><a href="panel.smooth.html">panel.smooth</a></td>
+<td>Simple Panel Plot</td></tr>
+<tr><td style="width: 25%;"><a href="par.html">par</a></td>
+<td>Set or Query Graphical Parameters</td></tr>
+<tr><td style="width: 25%;"><a href="points.html">pch</a></td>
+<td>Add Points to a Plot</td></tr>
+<tr><td style="width: 25%;"><a href="persp.html">persp</a></td>
+<td>Perspective Plots</td></tr>
+<tr><td style="width: 25%;"><a href="pie.html">pie</a></td>
+<td>Pie Charts</td></tr>
+<tr><td style="width: 25%;"><a href="plot.dataframe.html">plot.data.frame</a></td>
+<td>Plot Method for Data Frames</td></tr>
+<tr><td style="width: 25%;"><a href="plot.default.html">plot.default</a></td>
+<td>The Default Scatterplot Function</td></tr>
+<tr><td style="width: 25%;"><a href="plot.design.html">plot.design</a></td>
+<td>Plot Univariate Effects of a Design or Model</td></tr>
+<tr><td style="width: 25%;"><a href="plot.factor.html">plot.factor</a></td>
+<td>Plotting Factor Variables</td></tr>
+<tr><td style="width: 25%;"><a href="plot.formula.html">plot.formula</a></td>
+<td>Formula Notation for Scatterplots</td></tr>
+<tr><td style="width: 25%;"><a href="curve.html">plot.function</a></td>
+<td>Draw Function Plots</td></tr>
+<tr><td style="width: 25%;"><a href="plothistogram.html">plot.histogram</a></td>
+<td>Plot Histograms</td></tr>
+<tr><td style="width: 25%;"><a href="frame.html">plot.new</a></td>
+<td>Create / Start a New Plot Frame</td></tr>
+<tr><td style="width: 25%;"><a href="plot.raster.html">plot.raster</a></td>
+<td>Plotting Raster Images</td></tr>
+<tr><td style="width: 25%;"><a href="plot.table.html">plot.table</a></td>
+<td>Plot Methods for 'table' Objects</td></tr>
+<tr><td style="width: 25%;"><a href="plot.window.html">plot.window</a></td>
+<td>Set up World Coordinates for Graphics Window</td></tr>
+<tr><td style="width: 25%;"><a href="plot.xy.html">plot.xy</a></td>
+<td>Basic Internal Plot Function</td></tr>
+<tr><td style="width: 25%;"><a href="points.html">points</a></td>
+<td>Add Points to a Plot</td></tr>
+<tr><td style="width: 25%;"><a href="plot.formula.html">points.formula</a></td>
+<td>Formula Notation for Scatterplots</td></tr>
+<tr><td style="width: 25%;"><a href="plot.table.html">points.table</a></td>
+<td>Plot Methods for 'table' Objects</td></tr>
+<tr><td style="width: 25%;"><a href="polygon.html">polygon</a></td>
+<td>Polygon Drawing</td></tr>
+<tr><td style="width: 25%;"><a href="polypath.html">polypath</a></td>
+<td>Path Drawing</td></tr>
+<tr><td style="width: 25%;"><a href="rasterImage.html">rasterImage</a></td>
+<td>Draw One or More Raster Images</td></tr>
+<tr><td style="width: 25%;"><a href="rect.html">rect</a></td>
+<td>Draw One or More Rectangles</td></tr>
+<tr><td style="width: 25%;"><a href="rug.html">rug</a></td>
+<td>Add a Rug to a Plot</td></tr>
+<tr><td style="width: 25%;"><a href="screen.html">screen</a></td>
+<td>Creating and Controlling Multiple Screens on a Single Device</td></tr>
+<tr><td style="width: 25%;"><a href="segments.html">segments</a></td>
+<td>Add Line Segments to a Plot</td></tr>
+<tr><td style="width: 25%;"><a href="smoothScatter.html">smoothScatter</a></td>
+<td>Scatterplots with Smoothed Densities Color Representation</td></tr>
+<tr><td style="width: 25%;"><a href="spineplot.html">spineplot</a></td>
+<td>Spine Plots and Spinograms</td></tr>
+<tr><td style="width: 25%;"><a href="screen.html">split.screen</a></td>
+<td>Creating and Controlling Multiple Screens on a Single Device</td></tr>
+<tr><td style="width: 25%;"><a href="stars.html">stars</a></td>
+<td>Star (Spider/Radar) Plots and Segment Diagrams</td></tr>
+<tr><td style="width: 25%;"><a href="stem.html">stem</a></td>
+<td>Stem-and-Leaf Plots</td></tr>
+<tr><td style="width: 25%;"><a href="strwidth.html">strheight</a></td>
+<td>Plotting Dimensions of Character Strings and Math Expressions</td></tr>
+<tr><td style="width: 25%;"><a href="stripchart.html">stripchart</a></td>
+<td>1-D Scatter Plots</td></tr>
+<tr><td style="width: 25%;"><a href="strwidth.html">strwidth</a></td>
+<td>Plotting Dimensions of Character Strings and Math Expressions</td></tr>
+<tr><td style="width: 25%;"><a href="sunflowerplot.html">sunflowerplot</a></td>
+<td>Produce a Sunflower Scatter Plot</td></tr>
+<tr><td style="width: 25%;"><a href="symbols.html">symbols</a></td>
+<td>Draw Symbols (Circles, Squares, Stars, Thermometers, Boxplots)</td></tr>
+<tr><td style="width: 25%;"><a href="text.html">text</a></td>
+<td>Add Text to a Plot</td></tr>
+<tr><td style="width: 25%;"><a href="plot.formula.html">text.formula</a></td>
+<td>Formula Notation for Scatterplots</td></tr>
+<tr><td style="width: 25%;"><a href="title.html">title</a></td>
+<td>Plot Annotation</td></tr>
+<tr><td style="width: 25%;"><a href="units.html">xinch</a></td>
+<td>Graphical Units</td></tr>
+<tr><td style="width: 25%;"><a href="plot.window.html">xlim</a></td>
+<td>Set up World Coordinates for Graphics Window</td></tr>
+<tr><td style="width: 25%;"><a href="xspline.html">xspline</a></td>
+<td>Draw an X-spline</td></tr>
+<tr><td style="width: 25%;"><a href="units.html">xyinch</a></td>
+<td>Graphical Units</td></tr>
+<tr><td style="width: 25%;"><a href="units.html">yinch</a></td>
+<td>Graphical Units</td></tr>
+<tr><td style="width: 25%;"><a href="plot.window.html">ylim</a></td>
+<td>Set up World Coordinates for Graphics Window</td></tr>
+</table>
+</div></body></html>
Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/graphics/Meta/features.rds
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Property changes on: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/graphics/Meta/nsInfo.rds
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Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/graphics/Meta/hsearch.rds
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Property changes on: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/graphics/Meta/hsearch.rds
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Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/graphics/help/aliases.rds
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Property changes on: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/graphics/help/aliases.rds
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Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/graphics/help/graphics.rdx
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Property changes on: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/graphics/help/graphics.rdx
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Added: svn:mime-type
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Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/graphics/help/figures/pch.svg
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Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/testthat/help/figures/lifecycle-experimental.svg
===================================================================
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Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/testthat/help/figures/lifecycle-deprecated.svg
===================================================================
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Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/testthat/help/figures/lifecycle-superseded.svg
===================================================================
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Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/testthat/help/figures/lifecycle-archived.svg
===================================================================
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Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/testthat/help/figures/lifecycle-questioning.svg
===================================================================
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Index: TXM/trunk/bundles/org.txm.statsengine.r.core.win32/res/win32/library/testthat/help/figures/lifecycle-maturing.svg
===================================================================
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